From f6abafe8c98f4a0dd5ed7a1b0d3bcf54a7fea501 Mon Sep 17 00:00:00 2001
From: Maxime <mxdebekker@gmail.com>
Date: Tue, 28 Apr 2026 14:15:05 +0200
Subject: [PATCH 01/24] test.txt toegevoegd

test toegevoegd met meer informatie
---
 test.txt | 0
 1 file changed, 0 insertions(+), 0 deletions(-)
 create mode 100644 test.txt

diff --git a/test.txt b/test.txt
new file mode 100644
index 00000000..e69de29b

From 9d9a464dde6acdc7eeeb18cfa6fd7a165d0cde6d Mon Sep 17 00:00:00 2001
From: Maxime <mxdebekker@gmail.com>
Date: Tue, 26 May 2026 12:46:52 +0200
Subject: [PATCH 02/24] Algorithm added

---
 Workyard/Algorithm.ipynb | 894 +++++++++++++++++++++++++++++++++++++++
 1 file changed, 894 insertions(+)
 create mode 100644 Workyard/Algorithm.ipynb

diff --git a/Workyard/Algorithm.ipynb b/Workyard/Algorithm.ipynb
new file mode 100644
index 00000000..f556ac71
--- /dev/null
+++ b/Workyard/Algorithm.ipynb
@@ -0,0 +1,894 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "d3382417-3993-4e5d-8390-0c6cc4197326",
+   "metadata": {},
+   "source": [
+    "## Startup"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "bb67d97e-8317-4b2f-be8e-c8ac9f45f196",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General python\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\", category=UserWarning)\n",
+    "\n",
+    "import numpy as np\n",
+    "from pathlib import Path\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import xarray as xr\n",
+    "\n",
+    "# Niceties\n",
+    "from rich import print"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "862f09e2-4350-4eb5-8bdc-d865a99076eb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General eWaterCycle\n",
+    "import ewatercycle\n",
+    "import ewatercycle.models\n",
+    "import ewatercycle.forcing"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "4c68de36-ea9f-43be-aa9e-13fdd7b4a3ab",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Defining time period & q_critical\n",
+    "\n",
+    "experiment_start_date = \"2014-01-01T00:00:00Z\"\n",
+    "experiment_end_date = \"2014-12-31T00:00:00Z\"\n",
+    "\n",
+    "q_critical = 500\n",
+    "\n",
+    "hysets_id = \"hysets_07DA001\"\n",
+    "basin_size = 132572"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "c2d00787-45c7-4f63-8641-5f1f5f67127e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Loading in data\n",
+    "\n",
+    "forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"ERA5-1970-2024\"\n",
+    "forcing_path_ERA5.mkdir(exist_ok=True, parents=True)\n",
+    "\n",
+    "discharge_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
+    "\n",
+    "shape_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "\n",
+    "calibration_temp = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"calibration_temp\"\n",
+    "calibration_temp.mkdir(parents=True, exist_ok=True)\n",
+    "\n",
+    "# Load CSV discharge 07DA001\n",
+    "\n",
+    "q_obs = pd.read_csv(discharge_file, skiprows=1)\n",
+    "q_obs = q_obs[[\"Date\", \"Value\"]].copy()\n",
+    "q_obs[\"Date\"] = pd.to_datetime(q_obs[\"Date\"])\n",
+    "q_obs = q_obs.rename(columns={\"Value\": \"discharge_m3s\"})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "b40fb132-370d-4584-b198-4a789d02abc8",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Date</th>\n",
+       "      <th>discharge_m3s</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>20367</th>\n",
+       "      <td>2014-01-01</td>\n",
+       "      <td>177.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20368</th>\n",
+       "      <td>2014-01-02</td>\n",
+       "      <td>188.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20369</th>\n",
+       "      <td>2014-01-03</td>\n",
+       "      <td>198.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20370</th>\n",
+       "      <td>2014-01-04</td>\n",
+       "      <td>204.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20371</th>\n",
+       "      <td>2014-01-05</td>\n",
+       "      <td>208.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            Date  discharge_m3s\n",
+       "20367 2014-01-01          177.0\n",
+       "20368 2014-01-02          188.0\n",
+       "20369 2014-01-03          198.0\n",
+       "20370 2014-01-04          204.0\n",
+       "20371 2014-01-05          208.0"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Filter q_obs to start & end date\n",
+    "\n",
+    "start_date = pd.to_datetime(experiment_start_date.replace(\"Z\", \"\"))\n",
+    "end_date = pd.to_datetime(experiment_end_date.replace(\"Z\", \"\"))\n",
+    "\n",
+    "q_obs = q_obs[\n",
+    "    (q_obs[\"Date\"] >= start_date) &\n",
+    "    (q_obs[\"Date\"] <= end_date)\n",
+    "].copy()\n",
+    "\n",
+    "q_obs.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "eb8f1766-b180-4486-9cec-6539c086eb7f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1200x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot q_obs\n",
+    "\n",
+    "plt.figure(figsize=(12, 5))\n",
+    "plt.plot(q_obs[\"Date\"], q_obs[\"discharge_m3s\"], label=\"Observed discharge\")\n",
+    "\n",
+    "plt.xlabel(\"Date\")\n",
+    "plt.ylabel(\"Discharge (m³/s)\")\n",
+    "plt.title(\"Observed daily discharge at 07DA001\")\n",
+    "\n",
+    "plt.axhline(\n",
+    "    y=q_critical,\n",
+    "    linestyle=\":\",\n",
+    "    label=f\"Critical discharge ({q_critical} m³/s)\",\n",
+    "    color='black'\n",
+    ")\n",
+    "\n",
+    "plt.legend()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "07a239a5-398f-4ad2-9a33-f2d199485309",
+   "metadata": {},
+   "source": [
+    "# Finding range"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9c87425e-c0d7-49ad-aab7-57bb5df5af0d",
+   "metadata": {},
+   "source": [
+    "## Start of range (freshet)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "504d4401-3712-406b-b9ef-884db8702c28",
+   "metadata": {},
+   "source": [
+    "### Idea 1: Rate of change\n",
+    "\n",
+    "gemiddelde dQ over 5 dagen periode moet groter zijn dan 15 m^3/s increase per dag voor consecutive dagen \n",
+    "& Q > Q_kritisch"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "204f6612-01b4-43c5-aff4-d345817047d9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# # Define dQ\n",
+    "\n",
+    "# dQ = Q_today - Q_yesterday\n",
+    "\n",
+    "# dQ over 5 dagen periode moet groter zijn dan x m^3/s increase per dag voor consecutive dagen \n",
+    "# & Q > q_kritisch\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "dc8791fb-3dac-425a-b5bd-45cdb8a0331f",
+   "metadata": {},
+   "source": [
+    "### Idea 2: Q_critical "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "727e107a-465a-4947-ba90-494ec323a262",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>year</th>\n",
+       "      <th>first_above_critical_date</th>\n",
+       "      <th>discharge_m3s</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2014</td>\n",
+       "      <td>2014-04-23</td>\n",
+       "      <td>506.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   year first_above_critical_date  discharge_m3s\n",
+       "0  2014                2014-04-23          506.0"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Create pd for identified critical dates\n",
+    "\n",
+    "freshet_start_date = []\n",
+    "\n",
+    "for year, group in q_obs.groupby(q_obs[\"Date\"].dt.year):\n",
+    "\n",
+    "    # Set start date to March 1\n",
+    "    start_date_algorithm = pd.to_datetime(f\"{year}-03-01\")\n",
+    "    season_data = group[group[\"Date\"] >= start_date_algorithm].copy()\n",
+    "    \n",
+    "    # Identify first day where q > q_critical\n",
+    "    \n",
+    "    above_critical = season_data[\n",
+    "        season_data[\"discharge_m3s\"] > q_critical\n",
+    "    ]\n",
+    "    \n",
+    "    if len(above_critical) > 0:\n",
+    "        first_day = above_critical.iloc[0]\n",
+    "        \n",
+    "        freshet_start_date.append({\n",
+    "            \"year\": year,\n",
+    "            \"first_above_critical_date\": first_day[\"Date\"],\n",
+    "            \"discharge_m3s\": first_day[\"discharge_m3s\"]\n",
+    "        })\n",
+    "    else:\n",
+    "        freshet_start_date.append({\n",
+    "            \"year\": year,\n",
+    "            \"first_above_critical_date\": pd.NaT,\n",
+    "            \"discharge_m3s\": None\n",
+    "        })\n",
+    "\n",
+    "freshet_start_date = pd.DataFrame(freshet_start_date)\n",
+    "\n",
+    "freshet_start_date"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "e20e293c-245d-47da-9b45-1c9675f989f4",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1200x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot q_obs\n",
+    "\n",
+    "plt.figure(figsize=(12, 5))\n",
+    "plt.plot(q_obs[\"Date\"], q_obs[\"discharge_m3s\"], label='Observed discharge')\n",
+    "\n",
+    "plt.xlabel(\"Date\")\n",
+    "plt.ylabel(\"Discharge (m³/s)\")\n",
+    "plt.title(\"Observed daily discharge at 07DA001\")\n",
+    "\n",
+    "plt.axhline(\n",
+    "    y=q_critical,\n",
+    "    linestyle=\":\",\n",
+    "    label=f\"Critical discharge ({q_critical} m³/s)\",\n",
+    "    color='black'\n",
+    "    )\n",
+    "\n",
+    "for date in freshet_start_date[\"first_above_critical_date\"].dropna():\n",
+    "    plt.axvline(\n",
+    "        x=date,\n",
+    "        linestyle=':',\n",
+    "        color='orange',\n",
+    "        label='Start navigable season'\n",
+    "    )\n",
+    "        \n",
+    "plt.legend()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "id": "39bd4c7f-1a15-464d-bddd-6c3e05088566",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA1sAAAG8CAYAAAAo4r8WAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8fJSN1AAAACXBIWXMAAA9hAAAPYQGoP6dpAABS6UlEQVR4nO3dd3hUVeL/8c8QkpDGSEIqJCG6VENVpIkQgRCKgIqKSJWm9KIorgoBJYsF3RURXBEsoC4qgi1SBREioUlTFjRiIaGTQIA0zu8Pvpkfw0xC4nIN5f16nnke5txz7z3nzp0Jn7nnnrEZY4wAAAAAAJdUubJuAAAAAABcjQhbAAAAAGABwhYAAAAAWICwBQAAAAAWIGwBAAAAgAUIWwAAAABgAcIWAAAAAFiAsAUAAAAAFiBsAQAAAIAFCFu46s2bN082m83t45FHHtEvv/wim82mefPmXbJ9zpw585Jsz2azadKkSaVeb//+/Zo0aZK2bt36P7ehJNwdw0mTJslms1myP5vNpuHDh1uybVx6he/BX375paybotatW6t169aO56dOndKkSZP09ddfu9S1ut1ff/21bDab232fb9euXZo0aZLbdrRu3VqxsbGWtO/PsKI9Jf0cLOnr1a9fP/n7+1+axv2fBQsW6OWXX76k27zcvPzyy7rrrrsUExMjm83m9D660FdffaUWLVrIx8dHdrtdd9xxh3bu3OlUp/DvRlGPhIQEp/p5eXlKTExUtWrV5O3trVq1aumVV14pcfs//vhj3X///frb3/4mHx8fVatWTQ888ID27Nnjtv7y5cvVrFkz+fr6qnLlyurXr58OHjzoVGfTpk0aNmyY6tatq4CAAIWGhqpt27ZauXLlRdvTq1cv2Ww2de7cucR9wJWpfFk3APirzJ07V7Vq1XIqi4iIUGhoqNavX68bbrjhku1r5syZjg/nsrB//37HH6UGDRqUSRsGDhzo8scSKGszZ850en7q1CklJiZKkst/Hjt16qT169crPDz8r2qeW7t27VJiYqJat26tatWqlWlb4N6CBQu0Y8cOjR49uqybYplZs2bJz89Pt99+uz799NMi6y1evFh33nmnunbtqo8++kiZmZlKTExUy5YtlZqa6vhbGx4ervXr17us/8knn2jatGm68847ncqHDh2qd955R1OmTFHjxo311VdfadSoUTpx4oSeeOKJi7Z/2rRpCgsL09///nddf/31+u233zR16lQ1atRIKSkpuvHGGx11V69erQ4dOqhTp05avHixDh48qMcee0xt2rTRxo0b5e3tLUl67733tGHDBj344IOqX7++srOzNWvWLLVp00ZvvfWW+vTp47Ytn3/+uT755BNVrFjxou3GlY+whWtGbGysbr75ZrfLmjZtetH1T506JV9f30vdrKtW1apVVbVq1bJuxp+Wl5cnm82m8uX5mLwaFL5/69SpU+J1goODFRwcbGGryhbnOEpj165dKlfu3ICo4q5ePvbYY6pbt64+/vhjx+iG5s2bq0aNGnr66ac1f/58SZK3t7fbv70TJkyQr6+v7r//fkfZzp07NWfOHD377LN69NFHJZ37cuTIkSN65pln9NBDDykwMLDY9n/66acKCQlxKrv99ttVrVo1vfTSS3rjjTcc5Y8++qhq1KihDz/80PH+iImJUYsWLfTmm2/q4YcfliSNHz9eL7zwgtM2O3bsqEaNGmny5Mluw1ZmZqaGDBmiKVOm6J///GexbcbVgWGEuOYVNwRu8+bN6t69uypVquT4Nu7nn39Wjx49FBERIW9vb4WGhqpNmzaOIXvVqlXTzp07tXr1asdwiIt9G52VlaVBgwYpKChI/v7+SkhI0H//+1+Xenv37lX//v1VvXp1+fr6qkqVKrrjjju0fft2R52vv/5ajRs3liT179/f0Ybzh+Fs3LhRXbp0UWBgoCpUqKCGDRvqP//5T4mO1/79+3XvvfcqICBAdrtd9913nzIyMlzquRtGuHLlSrVu3VpBQUHy8fFRVFSU7r77bp06dcpRJycnR5MnT1bt2rVVoUIFBQUFKS4uTuvWrXPZxzvvvKPatWvL19dX9evX12effVbq41V4zGw2m9555x2NGzdOVapUkbe3t/bu3StJ+ve//60aNWrI29tbderU0YIFC9SvXz+X1zU3N1fPPPOMatWqJW9vbwUHB6t///46dOhQiY7txV6Xw4cPKzIyUs2bN1deXp6jfNeuXfLz81Pv3r0dZWfPntUrr7yiBg0ayMfHR9ddd52aNm2qJUuWOO3zgw8+ULNmzeTn5yd/f3+1b99eW7ZsKXXbCqWkpKhFixaqUKGCIiIiNGHCBKe2FirJuVCUBQsWqFmzZvL395e/v78aNGigOXPmOJYXDmVbs2aNmjdvLl9fXz344IOOZYVXsH755RdHmEpMTHS8VwqvSBc1LC05OVlt2rSR3W6Xr6+vateuraSkJKdj1aNHD1WrVs0xXOn+++/Xvn37Ltq3C82bN0/33HOPJCkuLs7RxguHKaempqply5by9fXV9ddfr3/84x86e/asY/nFzvHly5erTZs2qlixonx9fdWiRQutWLHCaR+HDh3S4MGDFRkZ6Ti/W7RooeXLl7u0+2LtkaRff/1VvXr1UkhIiLy9vVW7dm29+OKLLvXcKel5VpydO3eqTZs28vPzU3BwsIYPH+5y/hljNHPmTMf7qFKlSurevbt+/vlnR53WrVvr888/1759+5yGwUlS48aN1alTJ6dt1q1bVzabTampqY6ywmBy/mfTnj171LNnT6fj8+qrr7r0IysrS4888ohiYmLk5eWlKlWqaPTo0crOznaqVzj8+mKfm0UpDFrFOXLkiHbv3q0OHTo4ff5HR0crNjZWn3zyiQoKCopc/6efftLq1at17733Ol31+eSTT2SMUf/+/Z3q9+/fX6dPn1ZycvJF23Zh0JLOjW6pWrWqfvvtN0fZH3/8odTUVPXu3dvpi4jCwLho0aJit+nh4aGbbrrJaZvnGzdunMLDwzVy5MiLthlXB77OwjWjoKBA+fn5TmUX+0b3rrvuUo8ePfTQQw85/nB17NhRBQUFeu655xQVFaXDhw9r3bp1On78uCRp0aJF6t69u+x2u2PIUuGQA3eMMerWrZvWrVunp59+Wo0bN9a3336rDh06uNTdv3+/goKC9I9//EPBwcE6evSo3nrrLTVp0kRbtmxRzZo11ahRI82dO1f9+/fXk08+6fhDX3iVadWqVUpISFCTJk00a9Ys2e12vf/++7rvvvt06tSpYoc+nj59Wm3bttX+/fuVlJSkGjVq6PPPP9d9991X7HGUzv3HtlOnTmrZsqXefPNNXXfddfrjjz+UnJys3Nxc+fr6Kj8/Xx06dNA333yj0aNH6/bbb1d+fr5SUlL066+/qnnz5o7tff7550pNTdXkyZPl7++v5557Tnfeead2796t66+/vsTH63wTJkxQs2bNNGvWLJUrV04hISF6/fXXNWTIEN1999166aWXHENicnJynNY9e/asunbtqm+++Ubjx49X8+bNtW/fPk2cOFGtW7fWxo0b5ePjU+TxKcnrUrlyZb3//vtq3bq1HnvsMU2fPl2nTp3SPffco6ioKM2aNcuxvX79+undd9/VgAEDNHnyZHl5eWnz5s1OwWHq1Kl68sknHedKbm6unn/+ebVs2VIbNmxwXAUq6Tmza9cutWnTRtWqVdO8efPk6+urmTNnasGCBaU+F4ry9NNPa8qUKbrrrrs0btw42e127dixwyXIpKenq1evXho/frymTp3q9j+K4eHhSk5OVkJCggYMGKCBAwdKUrFXs+bMmaNBgwapVatWmjVrlkJCQvTf//5XO3bscOpfzZo11aNHDwUGBio9PV2vvfaaGjdurF27dqly5cpFbv9CnTp10tSpU/XEE0/o1VdfVaNGjSTJadhzRkaGHnjgAY0bN04TJ07UokWLNGHCBEVERLh8s+7uHH/33XfVp08fde3aVW+99ZY8PT01e/ZstW/fXl999ZXatGkjSerdu7c2b96sZ599VjVq1NDx48e1efNmHTlyxGkfJWnPoUOH1Lx5c+Xm5mrKlCmqVq2aPvvsMz3yyCP66aefXIZ7nq+k51lx8vLy1LFjRw0ZMkSPP/641q1bp2eeeUb79u1zGiI3ZMgQzZs3TyNHjtS0adN09OhRTZ48Wc2bN9f333+v0NBQzZw5U4MHD9ZPP/3k9B9xSWrbtq1mzJihvLw8eXp66sCBA9qxY4d8fHy0bNkyxxdjy5cvV2hoqOrWrevoY/PmzRUVFaUXX3xRYWFh+uqrrzRy5EgdPnxYEydOlHTuim2rVq30+++/64knnlC9evW0c+dOPf3009q+fbuWL1/uFHpK8rn5v8jNzZXk/m+et7e3Tp06pZ9++kk1atRwu/6bb74pY4zjvVhox44dCg4OVlhYmFN5vXr1HMv/jJ9//ln79u1Tt27dnPZ1/rYv3N+3335b7Dbz8/P1zTffOA1LLLR8+XK9/fbbSk1NlYeHx59qM65ABrjKzZ0710hy+8jLyzNpaWlGkpk7d65jnYkTJxpJ5umnn3ba1uHDh40k8/LLLxe7zxtvvNG0atWqRO378ssvjSTzz3/+06n82WefNZLMxIkTi1w3Pz/f5ObmmurVq5sxY8Y4ylNTU136VKhWrVqmYcOGJi8vz6m8c+fOJjw83BQUFBS5v9dee81IMosXL3YqHzRoUJHHsNCHH35oJJmtW7cWuf23337bSDL//ve/i6xjjDGSTGhoqMnKynKUZWRkmHLlypmkpKQi1yvqeK1atcpIMrfddptT/YKCAhMWFmaaNGniVL5v3z7j6elpoqOjHWXvvfeekWQ++ugjp7qFr8XMmTOL7VNpXpdp06YZSWbRokWmb9++xsfHx2zbts2xfM2aNUaS+fvf/17k/n799VdTvnx5M2LECKfyEydOmLCwMHPvvfeWum333Xef8fHxMRkZGY46+fn5platWkaSSUtLM8aU7Fxw5+effzYeHh7mgQceKLZeq1atjCSzYsUKt8vOf28eOnSoyPdZ4WdHYbtPnDhhKlasaG699VZz9uzZErc7Pz/fnDx50vj5+Tm9zwvPu1WrVhW7/sKFC4usV9jX7777zqm8Tp06pn379i77uvAcz87ONoGBgeaOO+5wKi8oKDD169c3t9xyi6PM39/fjB49uti2lrQ9jz/+uNt6Dz/8sLHZbGb37t2Osgtfn5KeZ0Xp27dvsZ+5a9euNcYYs379eiPJvPjii071fvvtN+Pj42PGjx/vKOvUqZPT50Gh5cuXG0lmzZo1xhhj3n33XRMQEGCGDh1q4uLiHPWqV69uevbs6Xjevn17U7VqVZOZmem0veHDh5sKFSqYo0ePGmOMSUpKMuXKlTOpqalO9QrfY1988YWj7M9+brpT1N+4goICExgYaNq0aeNUfuzYMRMQEGAkmXXr1rndZn5+vqlSpYqpVauWy7J27dqZmjVrul3Py8vLDB48uFTtN8aYvLw807p1a1OxYkXz66+/Osrnz59vJJn169e7rDN48GDj5eVV7Hb//ve/G0nmk08+cSo/ceKEqVatmpkwYYKjLDo62nTq1KnUbceVhWGEuGYUfpt0/uNiV7buvvtup+eBgYG64YYb9Pzzz2v69OnasmVLiYa8FGfVqlWSpAceeMCpvGfPni518/PzNXXqVNWpU0deXl4qX768vLy8tGfPHv3www8X3dfevXv1448/OvaVn5/veHTs2FHp6enavXt3sW0NCAhQly5dLtrWCzVo0EBeXl4aPHiw3nrrLadhOIW+/PJLVahQwTHkqzhxcXEKCAhwPA8NDVVISIjTFY7SHq8LX+/du3crIyND9957r1N5VFSUWrRo4VT22Wef6brrrtMdd9zhdFwbNGigsLCwYmecK+3r8uijj6pTp066//779dZbb+mVV15xfCMunTuOkjRs2LAi9/nVV18pPz9fffr0cdpfhQoV1KpVK0d7S9O2VatWqU2bNgoNDXXsx8PDw+XKZ0nOBXeWLVumgoKCYvtVqFKlSrr99ttLtN2SWrdunbKysjR06NBiZ9o8efKkHnvsMf3tb39T+fLlVb58efn7+ys7O7tE79PSCgsL0y233OJUVq9ePbfDFi88x9etW6ejR4+qb9++Tq/t2bNnlZCQoNTUVMdV/VtuuUXz5s3TM888o5SUlCKH7ZWkPStXrlSdOnVc6vXr10/GmGJncyvpeXYxRX3mFn4mf/bZZ7LZbOrVq5fTsQkLC1P9+vUvOoukJMdQx8KhlsuWLVPr1q2VkJCgdevW6dSpU/rtt9+0Z88etW3bVpJ05swZrVixQnfeeafjiv/577kzZ84oJSXF0cbY2Fg1aNDAqV779u3dznRZks/N/0W5cuU0bNgwrVixQlOmTNHBgwe1d+9e9erVyzFEs6jhiMnJyfrjjz80YMAAt8uLe88VLjPGOB2HC0ezFDLGaMCAAfrmm2/09ttvKzIyssT7K64db7zxhp599lmNGzdOXbt2dVr2+OOPy9PTU08//XSR6+PqRNjCNaN27dq6+eabnR4Xc+EsZDabTStWrFD79u313HPPqVGjRgoODtbIkSN14sSJP9WuI0eOqHz58goKCnIqv3C4hCSNHTtWTz31lLp166ZPP/1U3333nVJTU1W/fn2dPn36ovs6cOCAJOmRRx6Rp6en02Po0KGSzt0XVFxbz/8PTnFtvdANN9yg5cuXKyQkRMOGDdMNN9ygG264wekG4UOHDikiIqJE9wZceLykc8NUzj8OpT1eF77ehcOj3PX5wrIDBw7o+PHj8vLycjm2GRkZxR7X0r4uhfcVnTlzRmFhYU73aknnjqOHh0exr0vhPhs3buyyzw8++MCxv9K07ciRI273eWFZSc4FdwrvfSvJxCtWzCBY0v337NlTM2bM0MCBA/XVV19pw4YNSk1NVXBwcInep6VVkvdCoQuPS+Hr2717d5fXd9q0aTLG6OjRo5LO3d/Xt29fvfHGG2rWrJkCAwPVp08fl3s2S9KeI0eOuH2NIiIiHMuLUtLzrDjFfeYW7vvAgQMyxig0NNTl2KSkpBT7ni5UoUIFp/vaVqxYoXbt2ql169YqKCjQN998o2XLlkmSI2wdOXJE+fn5euWVV1z227FjR0lyen9u27bNpV5AQICMMS5tLM258mc9/fTTGjNmjJ555hmFhoaqevXqkuS436pKlSpu15szZ448PT3dTioRFBTk9pzIzs5Wbm6uY3KMwmGw5z8uZP5vmOK7776refPmuYSiwmPkbn9Hjx4tciKOuXPnasiQIRo8eLCef/55p2UbNmzQzJkz9dxzz+nMmTM6fvy4jh8/rrNnzyo/P1/Hjx93GZqOqwf3bAHFcPcNVnR0tONm/P/+97/6z3/+o0mTJik3N9fpnpmSCgoKUn5+vo4cOeL0h9DdpBOF91ZMnTrVqfzw4cO67rrrLrqvwntFJkyYoLvuusttnQvvY7qwrRs2bHApd9dWd1q2bKmWLVuqoKBAGzdu1CuvvKLRo0crNDRUPXr0UHBwsNauXauzZ8+WKHBdTGmP14Wvd+HrUfgf0vNd2OfKlSsrKCioyBu1z/82+UKlfV3S09M1bNgwNWjQQDt37tQjjzyif/3rX47lwcHBKigoUEZGRpGho3CfH374oaKjoy9J24KCgtyeC+7KLnYuuFN4L9Xvv//u9pvo81nxG2/n778omZmZ+uyzzzRx4kQ9/vjjjvKcnBxHaClLFx6Xwtf3lVdeKXJW1sIvFipXrqyXX35ZL7/8sn799VctWbJEjz/+uA4ePFiiCQrOFxQUpPT0dJfy/fv3O7WrqHVLep4VpbjP3MKyypUry2az6ZtvvinyHqSSaNOmjZ5++mlt2LBBv//+u9q1a6eAgAA1btxYy5Yt0/79+1WjRg3HOV2pUiV5eHiod+/eRV7FjYmJcbTRx8dHb775ptt6pbk/8FIpX768pk+frsmTJystLU2VK1dWeHi42rdvr5iYGLdfVhw8eFCfffaZunTp4nbSibp16+r9999XRkaGU6gunFCkcHbEO+64w2nikQsVBq25c+dqzpw56tWrl0udwm1t377dEW7P35+7mRjnzp2rgQMHqm/fvpo1a5bL+2zXrl0yxrhMZy9Jv/32mypVqqSXXnrpqv7pgGsZV7aA/0GNGjX05JNPqm7dutq8ebOjvDTfFMbFxUmSYzrcQu5u9rbZbC5/4D///HP98ccfTmWFdS5sQ82aNVW9enV9//33Llf5Ch/FhYK4uDidOHHCZUa70tyYLp0b8tOkSRPHzFqFx65Dhw46c+bMJfuB6ZIer6LUrFlTYWFhLrPu/frrry6zI3bu3FlHjhxRQUGB2+NaXIgtzetSUFCg+++/XzabTV9++aWSkpL0yiuv6OOPP3Zsr3Bylddee63IfbZv317ly5fXTz/9VOQ+S9u2uLg4rVixwimcFhQU6IMPPiiyHUWdC+7Ex8fLw8Oj2H6VVlHvFXeaN28uu92uWbNmyRjjto7NZpMxxuW8e+ONN4qdhe1StbG0WrRooeuuu067du0q8vX18vJyWS8qKkrDhw9Xu3btin3NitKmTRvt2rXLZd23335bNpvN8bnozp85z9wp6jO3cLbKzp07yxijP/74w+1xOX/obnGf+W3btlV+fr6eeuopVa1a1fF7j23bttXy5cu1cuVKx1UtSfL19VVcXJy2bNmievXqud13YSDs3LmzfvrpJwUFBbmtV5a/y+bv76+6desqPDxcmzdv1ooVKzRq1Ci3dd9++23l5eUVOYSwa9eustlseuutt5zK582bJx8fH8dvOro7DoWMMRo0aJDmzp2r2bNnu8xsWKhKlSq65ZZb9O677zq9Z1NSUrR7926XL53mzZungQMHqlevXnrjjTfcftGTkJCgVatWuTxCQ0PVtGlTrVq1St27d3fbHlz5uLIFlMK2bds0fPhw3XPPPapevbq8vLy0cuVKbdu2zelb7MJv4T744ANdf/31qlChgtMf5vPFx8frtttu0/jx45Wdna2bb75Z3377rd555x2Xup07d9a8efNUq1Yt1atXT5s2bdLzzz/v8k3hDTfcIB8fH82fP1+1a9eWv7+/IiIiFBERodmzZ6tDhw5q3769+vXrpypVqujo0aP64YcftHnzZi1cuLDI/vfp00cvvfSS+vTpo2effVbVq1fXF198oa+++uqix27WrFlauXKlOnXqpKioKJ05c8bxbWzhfzTuv/9+zZ07Vw899JB2796tuLg4nT17Vt99951q165d5BWPopT0eBWlXLlySkxM1JAhQ9S9e3c9+OCDOn78uBITExUeHu509a1Hjx6aP3++OnbsqFGjRumWW26Rp6enfv/9d61atUpdu3Z1+61moZK+LhMnTtQ333yjpUuXKiwsTOPGjdPq1as1YMAANWzYUDExMWrZsqV69+6tZ555RgcOHFDnzp3l7e2tLVu2yNfXVyNGjFC1atU0efJk/f3vf9fPP/+shIQEVapUSQcOHNCGDRvk5+fn+LHfkrbtySef1JIlS3T77bfr6aeflq+vr1599VWXKahLci64U61aNT3xxBOaMmWKTp8+rfvvv192u127du3S4cOHHe0tjYCAAEVHR2vx4sVq06aNAgMDVblyZbf/SfX399eLL76ogQMHqm3btho0aJBCQ0O1d+9eff/995oxY4YqVqyo2267Tc8//7xjO6tXr9acOXNKdPXZncJv0l9//XUFBASoQoUKiomJcTskrLT8/f31yiuvqG/fvjp69Ki6d++ukJAQHTp0SN9//70OHTqk1157TZmZmYqLi1PPnj1Vq1YtBQQEKDU1VcnJyUVe8SzOmDFj9Pbbb6tTp06aPHmyoqOj9fnnn2vmzJl6+OGHi5ytTir5eVYcLy8vvfjiizp58qQaN27smI2wQ4cOuvXWWyWdC6KDBw9W//79tXHjRt12223y8/NTenq61q5dq7p16zp+b6nwd6Vee+013XTTTSpXrpzjP/o33XSTKlWqpKVLlzr9B79t27aaMmWK49/n++c//6lbb71VLVu21MMPP6xq1arpxIkT2rt3rz799FPHPW2jR4/WRx99pNtuu01jxoxRvXr1dPbsWf36669aunSpxo0bpyZNmpT4uBRn48aNjtlMs7KyZIzRhx9+KOnccOTCK+Rff/21UlNTVa9ePRljtGHDBk2bNk0JCQkaPny4223PmTNHkZGRat++vdvlN954owYMGKCJEyfKw8NDjRs31tKlS/X666/rmWeeuehvbEnSyJEjNWfOHD344IOqW7eu47436VxYbtiwoeP5tGnT1K5dO91zzz0aOnSoDh48qMcff1yxsbFOr+HChQs1YMAANWjQQEOGDHEZ+dGwYUN5e3srLCzM7TDXwp83ufAH1XGVKYNJOYC/VOGMYhfO1lSouNkIDx065FT3wIEDpl+/fqZWrVrGz8/P+Pv7m3r16pmXXnrJ5OfnO+r98ssvJj4+3jH7krtZqs53/Phx8+CDD5rrrrvO+Pr6mnbt2pkff/zRZRauY8eOmQEDBpiQkBDj6+trbr31VvPNN9+4zLBmzLnZ8WrVqmU8PT1dtvP999+be++914SEhBhPT08TFhZmbr/9djNr1qxi22mMMb///ru5++67jb+/vwkICDB33323Wbdu3UVnI1y/fr258847TXR0tPH29jZBQUGmVatWZsmSJU7bP336tHn66adN9erVjZeXlwkKCjK333670wxWksywYcNc2hYdHW369u1b6uNVOFPbwoUL3fb59ddfN3/729+Ml5eXqVGjhnnzzTdN165dTcOGDZ3q5eXlmRdeeMHUr1/fVKhQwfj7+5tatWqZIUOGmD179lz02F7sdVm6dKkpV66cy8x5R44cMVFRUaZx48YmJyfHGHNuVrCXXnrJxMbGGi8vL2O3202zZs3Mp59+6rTuJ598YuLi4kzFihWNt7e3iY6ONt27dzfLly8vVdsKffvtt6Zp06bG29vbhIWFmUcffdS8/vrrTrPElfRcKMrbb79tGjdu7DjGDRs2dDr3WrVqZW688Ua367p7ryxfvtw0bNjQeHt7G0mOc+jC2QgLffHFF6ZVq1bGz8/P+Pr6mjp16php06Y5lhe+RypVqmQCAgJMQkKC2bFjh8v5WdLZCI0x5uWXXzYxMTHGw8PD6b1WVF/79u3r9LlzsXN89erVplOnTiYwMNB4enqaKlWqmE6dOjnqnzlzxjz00EOmXr16pmLFisbHx8fUrFnTTJw40WRnZzu2U9L2GHNuVs+ePXuaoKAg4+npaWrWrGmef/55lxlRL/z8MqZk51lR+vbta/z8/My2bdtM69atjY+PjwkMDDQPP/ywOXnypEv9N9980zRp0sT4+fkZHx8fc8MNN5g+ffqYjRs3OuocPXrUdO/e3Vx33XXGZrOZC/97deeddxpJZv78+Y6y3Nxc4+fnZ8qVK2eOHTvmst+0tDTz4IMPmipVqhhPT08THBxsmjdvbp555hmneidPnjRPPvmkqVmzpuO9XrduXTNmzBinGRtL+rlZ3HFTETP7nv/++/bbb02TJk0cnymxsbHmhRdeMLm5uW63++2337qd/fdCubm5ZuLEiSYqKsrxWfyvf/3rou0+v59Ftd/d3+ilS5eapk2bmgoVKpjAwEDTp08fc+DAgRIfk5Kci8xGeG2wGVPEWAgAgFvHjx9XjRo11K1bN73++utl3RwAAHCZYhghABQjIyNDzz77rOLi4hQUFKR9+/bppZde0okTJ4q8/wAAAEAibAFAsby9vfXLL79o6NChOnr0qHx9fdW0aVPNmjVLN954Y1k3DwAAXMYYRggAAAAAFmDqdwAAAACwAGELAAAAACzAPVsldPbsWe3fv18BAQFuf7AOAAAAwLXBGKMTJ04oIiLC6Xc3L0TYKqH9+/crMjKyrJsBAAAA4DLx22+/qWrVqkUuJ2yVUEBAgKRzB7RixYpl3BoAAAAAZSUrK0uRkZGOjFAUwlYJFQ4drFixImELAAAAwEVvL2KCDAAAAACwAGELAAAAACxA2AIAAAAACxC2AAAAAMAChC0AAAAAsABhCwAAAAAsQNgCAAAAAAsQtgAAAADAAoQtAAAAALAAYQsAAAAALEDYAgAAAAALELYAAAAAwAKELQAAAACwAGELAAAAACxA2AIAAAAACxC2AAAAAMAChC0AAAAAsABhCwAAAAAsQNgCAAAAAAsQtgAAAADAAoQtAAAAALAAYQsAAAAALEDYAgAAAAALELYAAAAAwAKELQAAAACwAGELAAAAACxA2AIAAAAACxC2AAAAAMAChC0AAAAAsABhCwAAAAAsQNgCAAAAAAsQtgAAAADAAoQtAAAAALAAYQsAAAAALEDYAgAAAAALELYAAAAAwAKELQAAAACwQJmGraSkJDVu3FgBAQEKCQlRt27dtHv3bqc6H3/8sdq3b6/KlSvLZrNp69atLtvJycnRiBEjVLlyZfn5+alLly76/fffneocO3ZMvXv3lt1ul91uV+/evXX8+HELewcAAADgWlamYWv16tUaNmyYUlJStGzZMuXn5ys+Pl7Z2dmOOtnZ2WrRooX+8Y9/FLmd0aNHa9GiRXr//fe1du1anTx5Up07d1ZBQYGjTs+ePbV161YlJycrOTlZW7duVe/evS3tHwAAAIBrl80YY8q6EYUOHTqkkJAQrV69WrfddpvTsl9++UUxMTHasmWLGjRo4CjPzMxUcHCw3nnnHd13332SpP379ysyMlJffPGF2rdvrx9++EF16tRRSkqKmjRpIklKSUlRs2bN9OOPP6pmzZoubcnJyVFOTo7jeVZWliIjI3X48GFVrFjRgt4DAAAAuBJkZWWpcuXKyszMLDYblP8L23RRmZmZkqTAwMASr7Np0ybl5eUpPj7eURYREaHY2FitW7dO7du31/r162W32x1BS5KaNm0qu92udevWuQ1bSUlJSkxMdClfunSpfH19S9MtAAAAAFeRU6dOlajeZRO2jDEaO3asbr31VsXGxpZ4vYyMDHl5ealSpUpO5aGhocrIyHDUCQkJcVk3JCTEUedCEyZM0NixYx3PC69sxcfHc2ULAAAAuIZlZWWVqN5lE7aGDx+ubdu2ae3atZdke8YY2Ww2x/Pz/11UnfN5e3vL29vbpdzT01Oenp6XpI0AAAAArjwlzQOXxdTvI0aM0JIlS7Rq1SpVrVq1VOuGhYUpNzdXx44dcyo/ePCgQkNDHXUOHDjgsu6hQ4ccdQAAAADgUirTsGWM0fDhw/Xxxx9r5cqViomJKfU2brrpJnl6emrZsmWOsvT0dO3YsUPNmzeXJDVr1kyZmZnasGGDo853332nzMxMRx0AAAAAuJTKdBjhsGHDtGDBAi1evFgBAQGO+6fsdrt8fHwkSUePHtWvv/6q/fv3S5Ljd7jCwsIUFhYmu92uAQMGaNy4cQoKClJgYKAeeeQR1a1bV23btpUk1a5dWwkJCRo0aJBmz54tSRo8eLA6d+7sdnIMAAAAAPhflenU70XdLzV37lz169dPkjRv3jz179/fpc7EiRM1adIkSdKZM2f06KOPasGCBTp9+rTatGmjmTNnKjIy0lH/6NGjGjlypJYsWSJJ6tKli2bMmKHrrruuRG3NysqS3W6/6PSOAAAAAK5uJc0Gl9XvbF3OCFsAAAAApJJng8tiggwAAAAAuNoQtgAAAADAAoQtAAAAALAAYQsAAAAALEDYAgAAAAALELYAAAAAwAKELQAAAACwAGELAAAAACxA2AIAAAAACxC2AAAAAMAChC0AAAAAsABhCwAAAAAsQNgCAAAAAAsQtgAAAADAAoQtAAAAALAAYQsAAAAALEDYAgAAAAALELYAAAAAwAKELQAAAACwAGELAAAAACxA2AIAAAAACxC2AAAAAMAChC0AAAAAsABhCwAAAAAsQNgCAAAAAAsQtgAAAADAAoQtAAAAALAAYQsAAAAALEDYAgAAAAALELYAAAAAwAKELQAAAACwAGELAAAAACxQpmErKSlJjRs3VkBAgEJCQtStWzft3r3bqY4xRpMmTVJERIR8fHzUunVr7dy507H8l19+kc1mc/tYuHCho161atVclj/++ON/WV8BAAAAXFvKNGytXr1aw4YNU0pKipYtW6b8/HzFx8crOzvbUee5557T9OnTNWPGDKWmpiosLEzt2rXTiRMnJEmRkZFKT093eiQmJsrPz08dOnRw2t/kyZOd6j355JN/aX8BAAAAXDvKl+XOk5OTnZ7PnTtXISEh2rRpk2677TYZY/Tyyy/r73//u+666y5J0ltvvaXQ0FAtWLBAQ4YMkYeHh8LCwpy2s2jRIt13333y9/d3Kg8ICHCpCwAAAABWKNOwdaHMzExJUmBgoCQpLS1NGRkZio+Pd9Tx9vZWq1attG7dOg0ZMsRlG5s2bdLWrVv16quvuiybNm2apkyZosjISN1zzz169NFH5eXl5bYtOTk5ysnJcTzPysqSJOXl5SkvL+/PdxIAAADAFa2keeCyCVvGGI0dO1a33nqrYmNjJUkZGRmSpNDQUKe6oaGh2rdvn9vtzJkzR7Vr11bz5s2dykeNGqVGjRqpUqVK2rBhgyZMmKC0tDS98cYbbreTlJSkxMREl/KlS5fK19e31P0DAAAAcHU4depUiepdNmFr+PDh2rZtm9auXeuyzGazOT03xriUSdLp06e1YMECPfXUUy7LxowZ4/h3vXr1VKlSJXXv3l3Tpk1TUFCQS/0JEyZo7NixjudZWVmKjIxUfHy8KlasWKq+AQAAALh6FI56u5jLImyNGDFCS5Ys0Zo1a1S1alVHeeH9VRkZGQoPD3eUHzx40OVqlyR9+OGHOnXqlPr06XPRfTZt2lSStHfvXrdhy9vbW97e3i7lnp6e8vT0vHinAAAAAFyVSpoHynQ2QmOMhg8fro8//lgrV65UTEyM0/KYmBiFhYVp2bJljrLc3FytXr3aZZigdG4IYZcuXRQcHHzRfW/ZskWSnEIcAAAAAFwqZXpla9iwYVqwYIEWL16sgIAAxz1adrtdPj4+stlsGj16tKZOnarq1aurevXqmjp1qnx9fdWzZ0+nbe3du1dr1qzRF1984bKf9evXKyUlRXFxcbLb7UpNTdWYMWPUpUsXRUVF/SV9BQAAAHBtKdOw9dprr0mSWrdu7VQ+d+5c9evXT5I0fvx4nT59WkOHDtWxY8fUpEkTLV26VAEBAU7rvPnmm6pSpYrTzIWFvL299cEHHygxMVE5OTmKjo7WoEGDNH78eEv6BQAAAAA2Y4wp60ZcCbKysmS325WZmckEGQAAAMA1rKTZoEzv2QIAAACAqxVhCwAAAAAsQNgCAAAAAAsQtgAAAADAAoQtAAAAALAAYQsAAAAALEDYAgAAAAALELYAAAAAwAKELQAAAACwAGELAAAAACxA2AIAAAAACxC2AAAAAMAChC0AAAAAsABhCwAAAAAsQNgCAAAAAAsQtgAAAADAAoQtAAAAALAAYQsAAAAALEDYAgAAAAALELYAAAAAwAKELQAAAACwAGELAAAAACxA2AIAAAAACxC2AAAAAMAChC0AAAAAsABhCwAAAAAsQNgCAAAAAAsQtgAAAADAAoQtAAAAALAAYQsAAAAALEDYAgAAAAALELYAAAAAwAKELQAAAACwQJmGraSkJDVu3FgBAQEKCQlRt27dtHv3bqc6xhhNmjRJERER8vHxUevWrbVz506nOq1bt5bNZnN69OjRw6nOsWPH1Lt3b9ntdtntdvXu3VvHjx+3uosAAAAArlFlGrZWr16tYcOGKSUlRcuWLVN+fr7i4+OVnZ3tqPPcc89p+vTpmjFjhlJTUxUWFqZ27drpxIkTTtsaNGiQ0tPTHY/Zs2c7Le/Zs6e2bt2q5ORkJScna+vWrerdu/df0k8AAAAA1x6bMcaUdSMKHTp0SCEhIVq9erVuu+02GWMUERGh0aNH67HHHpMk5eTkKDQ0VNOmTdOQIUMknbuy1aBBA7388stut/vDDz+oTp06SklJUZMmTSRJKSkpatasmX788UfVrFnTZZ2cnBzl5OQ4nmdlZSkyMlKHDx9WxYoVL3HPAQAAAFwpsrKyVLlyZWVmZhabDcr/hW26qMzMTElSYGCgJCktLU0ZGRmKj4931PH29larVq20bt06R9iSpPnz5+vdd99VaGioOnTooIkTJyogIECStH79etntdkfQkqSmTZvKbrdr3bp1bsNWUlKSEhMTXcqXLl0qX1/fS9NhAAAAAFecU6dOlajeZRO2jDEaO3asbr31VsXGxkqSMjIyJEmhoaFOdUNDQ7Vv3z7H8wceeEAxMTEKCwvTjh07NGHCBH3//fdatmyZYzshISEu+wwJCXHs40ITJkzQ2LFjHc8Lr2zFx8dzZQsAAAC4hmVlZZWo3mUTtoYPH65t27Zp7dq1LstsNpvTc2OMU9mgQYMc/46NjVX16tV18803a/PmzWrUqJHbbbjbzvm8vb3l7e3tUu7p6SlPT8+SdQoAAADAVaekeeCymPp9xIgRWrJkiVatWqWqVas6ysPCwiTJ5erTwYMHXa52na9Ro0by9PTUnj17HNs5cOCAS71Dhw4Vux0AAAAA+LPKNGwZYzR8+HB9/PHHWrlypWJiYpyWFw4NLBwOKEm5ublavXq1mjdvXuR2d+7cqby8PIWHh0uSmjVrpszMTG3YsMFR57vvvlNmZmax2wEAAACAP6tMhxEOGzZMCxYs0OLFixUQEOC4gmW32+Xj4yObzabRo0dr6tSpql69uqpXr66pU6fK19dXPXv2lCT99NNPmj9/vjp27KjKlStr165dGjdunBo2bKgWLVpIkmrXrq2EhAQNGjTIMSX84MGD1blzZ7eTYwAAAADA/6pMp34v6n6puXPnql+/fpLOXf1KTEzU7NmzdezYMTVp0kSvvvqqYxKN3377Tb169dKOHTt08uRJRUZGqlOnTpo4caJjVkNJOnr0qEaOHKklS5ZIkrp06aIZM2bouuuuK1Fbs7KyZLfbLzq9IwAAAICrW0mzwWX1O1uXM8IWAAAAAKnk2eCymCADAAAAAK42hC0AAAAAsABhCwAAAAAsQNgCAAAAAAsQtgAAAADAAoQtAAAAALAAYQsAAAAALEDYAgAAAAALELYAAAAAwAKELQAAAACwAGELAAAAACxA2AIAAAAACxC2AAAAAMAChC0AAAAAsABhCwAAAAAsQNgCAAAAAAsQtgAAAADAAoQtAAAAALAAYQsAAAAALEDYAgAAAAALELYAAAAAwAKELQAAAACwAGELAAAAACxA2AIAAAAACxC2AAAAAMAChC0AAAAAsABhCwAAAAAsQNgCAAAAAAsQtgAAAADAAoQtAAAAALAAYQsAAAAALEDYAgAAAAALlGnYSkpKUuPGjRUQEKCQkBB169ZNu3fvdqpjjNGkSZMUEREhHx8ftW7dWjt37nQsP3r0qEaMGKGaNWvK19dXUVFRGjlypDIzM522U61aNdlsNqfH448//pf0EwAAAMC1p0zD1urVqzVs2DClpKRo2bJlys/PV3x8vLKzsx11nnvuOU2fPl0zZsxQamqqwsLC1K5dO504cUKStH//fu3fv18vvPCCtm/frnnz5ik5OVkDBgxw2d/kyZOVnp7ueDz55JN/WV8BAAAAXFtsxhhT1o0odOjQIYWEhGj16tW67bbbZIxRRESERo8erccee0ySlJOTo9DQUE2bNk1Dhgxxu52FCxeqV69eys7OVvny5SWdu7I1evRojR49+k+1LSsrS3a7XZmZmapYseKf2gYAAACAK19Js0H5v7BNF1U49C8wMFCSlJaWpoyMDMXHxzvqeHt7q1WrVlq3bl2RYauw04VBq9C0adM0ZcoURUZG6p577tGjjz4qLy8vt9vIyclRTk6O43lWVpYkKS8vT3l5eX++kwAAAACuaCXNA5dN2DLGaOzYsbr11lsVGxsrScrIyJAkhYaGOtUNDQ3Vvn373G7nyJEjmjJliksQGzVqlBo1aqRKlSppw4YNmjBhgtLS0vTGG2+43U5SUpISExNdypcuXSpfX99S9w8AAADA1eHUqVMlqnfZDCMcNmyYPv/8c61du1ZVq1aVJK1bt04tWrTQ/v37FR4e7qg7aNAg/fbbb0pOTnbaRlZWluLj41WpUiUtWbJEnp6eRe7vo48+Uvfu3XX48GEFBQW5LHd3ZSsyMlKHDx9mGCEAAABwDcvKylLlypWvjGGEI0aM0JIlS7RmzRpH0JKksLAwSeeucJ0ftg4ePOhytevEiRNKSEiQv7+/Fi1aVGzQkqSmTZtKkvbu3es2bHl7e8vb29ul3NPT86LbBgAAAHD1KmkeKNPZCI0xGj58uD7++GOtXLlSMTExTstjYmIUFhamZcuWOcpyc3O1evVqNW/e3FFWeEXLy8tLS5YsUYUKFS667y1btkiSU4gDAAAAgEulTK9sDRs2TAsWLNDixYsVEBDguEfLbrfLx8dHNptNo0eP1tSpU1W9enVVr15dU6dOla+vr3r27Cnp3BWt+Ph4nTp1Su+++66ysrIck1kEBwfLw8ND69evV0pKiuLi4mS325WamqoxY8aoS5cuioqKKrP+AwAAALh6lek9WzabzW353Llz1a9fP0nnrn4lJiZq9uzZOnbsmJo0aaJXX33VMYnG119/rbi4OLfbSUtLU7Vq1bR582YNHTpUP/74o3JychQdHa0ePXpo/PjxJZ7sgqnfAQAAAEglzwalClv5+fmaP3++2rdv77if6lpB2AIAAAAglTwblOqerfLly+vhhx92mqUPAAAAAOCq1BNkNGnSRFu3brWgKQAAAABw9Sj1BBlDhw7V2LFj9dtvv+mmm26Sn5+f0/J69epdssYBAAAAwJWq1BNklCvnejHMZrPJGCObzaaCgoJL1rjLCfdsAQAAAJBKng1KfWUrLS3tf2oYAAAAAFwLSh22oqOjrWgHAAAAAFxV/vSPGu/atUu//vqrcnNzncq7dOnyPzcKAAAAAK50pQ5bP//8s+68805t377dca+W9P9/oPhqvWcLAHBtKzhrtCHtqA6eOKOQgAq6JSZQHuVsZd0sAMBlrNRha9SoUYqJidHy5ct1/fXXa8OGDTpy5IjGjRunF154wYo2AgBQppJ3pCvx011KzzzjKAu3V9DEO+ooITa8DFsGALiclfp3ttavX6/JkycrODhY5cqVU7ly5XTrrbcqKSlJI0eOtKKNAACUmeQd6Xr43c1OQUuSMjLP6OF3Nyt5R3oZtQwAcLkrddgqKCiQv7+/JKly5crav3+/pHMTZ+zevfvStg4AgDJUcNYo8dNdcvcbKYVliZ/uUsHZUv2KCgDgGlHqYYSxsbHatm2brr/+ejVp0kTPPfecvLy89Prrr+v666+3oo0AAJSJDWlHXa5onc9ISs88ow1pR9XshqC/rmEAgCtCqcPWk08+qezsbEnSM888o86dO6tly5YKCgrSBx98cMkbCABAWTl4ouig9WfqAQCuLaUOW+3bt3f8+/rrr9euXbt09OhRVapUyTEjIQAAV4OQgAqXtB4A4NpS6nu2Cu3du1dfffWVTp8+rcDAwEvZJgAALgu3xAQq3F5BRX2VaNO5WQlvieHvIADAVanD1pEjR9SmTRvVqFFDHTt2VHr6uVmYBg4cqHHjxl3yBgIAUFY8ytk08Y46kuQSuAqfT7yjDr+3BQBwq9Rha8yYMfL09NSvv/4qX19fR/l9992n5OTkS9o4AADKWkJsuF7r1UhhduehgmH2CnqtVyN+ZwsAUKRS37O1dOlSffXVV6patapTefXq1bVv375L1jAAAC4XCbHhalcnTBvSjurgiTMKCTg3dJArWgCA4pQ6bGVnZztd0Sp0+PBheXt7X5JGAQBwufEoZ2N6dwBAqZR4GOHvv/8uSWrZsqXefvttR7nNZtPZs2f1/PPPKy4u7tK3EAAAAACuQCW+shUbG6tXXnlFL774olq1aqWNGzcqNzdX48eP186dO3X06FF9++23VrYVAAAAAK4YJQ5bU6dO1bBhw9SuXTtt2rRJb7zxhjw8PJSdna277rpLw4YNU3g4NwkDAAAAgCTZjDGmpJXT0tI0YMAA7dq1S7Nnz1bXrl2tbNtlJSsrS3a7XZmZmapYsWJZNwcAAABAGSlpNijVBBkxMTFauXKlZsyYoe7du6t27doqX955E5s3b/5zLQYAAACAq0ipZyPct2+fPvroIwUGBqpr164uYQsAAAAAUMqw9e9//1vjxo1T27ZttWPHDgUHB1vVLgAAAAC4opU4bCUkJGjDhg2aMWOG+vTpY2WbAAAAAOCKV+KwVVBQoG3btqlq1apWtgcAAAAArgolDlvLli2zsh0AAAAAcFUpV9YNAAAAAICrEWELAAAAACxA2AIAAAAACxC2AAAAAMACZRq2kpKS1LhxYwUEBCgkJETdunXT7t27neoYYzRp0iRFRETIx8dHrVu31s6dO53q5OTkaMSIEapcubL8/PzUpUsX/f777051jh07pt69e8tut8tut6t37946fvy41V0EAAAAcI0q07C1evVqDRs2TCkpKVq2bJny8/MVHx+v7OxsR53nnntO06dP14wZM5SamqqwsDC1a9dOJ06ccNQZPXq0Fi1apPfff19r167VyZMn1blzZxUUFDjq9OzZU1u3blVycrKSk5O1detW9e7d+y/tLwAAAIBrh80YY8q6EYUOHTqkkJAQrV69WrfddpuMMYqIiNDo0aP12GOPSTp3FSs0NFTTpk3TkCFDlJmZqeDgYL3zzju67777JEn79+9XZGSkvvjiC7Vv314//PCD6tSpo5SUFDVp0kSSlJKSombNmunHH39UzZo1XdqSk5OjnJwcx/OsrCxFRkbq8OHDqlix4l9wNAAAAABcjrKyslS5cmVlZmYWmw1K/Dtbf4XMzExJUmBgoCQpLS1NGRkZio+Pd9Tx9vZWq1attG7dOg0ZMkSbNm1SXl6eU52IiAjFxsZq3bp1at++vdavXy+73e4IWpLUtGlT2e12rVu3zm3YSkpKUmJiokv50qVL5evre8n6DAAAAODKcurUqRLVu2zCljFGY8eO1a233qrY2FhJUkZGhiQpNDTUqW5oaKj27dvnqOPl5aVKlSq51ClcPyMjQyEhIS77DAkJcdS50IQJEzR27FjH88IrW/Hx8VzZAgAAAK5hWVlZJap32YSt4cOHa9u2bVq7dq3LMpvN5vTcGONSdqEL67irX9x2vL295e3t7VLu6ekpT0/PYvcNAAAA4OpV0jxwWUz9PmLECC1ZskSrVq1S1apVHeVhYWGS5HL16eDBg46rXWFhYcrNzdWxY8eKrXPgwAGX/R46dMjlqhkAAAAAXAplGraMMRo+fLg+/vhjrVy5UjExMU7LY2JiFBYWpmXLljnKcnNztXr1ajVv3lySdNNNN8nT09OpTnp6unbs2OGo06xZM2VmZmrDhg2OOt99950yMzMddQAAAADgUirTYYTDhg3TggULtHjxYgUEBDiuYNntdvn4+Mhms2n06NGaOnWqqlevrurVq2vq1Kny9fVVz549HXUHDBigcePGKSgoSIGBgXrkkUdUt25dtW3bVpJUu3ZtJSQkaNCgQZo9e7YkafDgwercubPbyTEAAAAA4H9VpmHrtddekyS1bt3aqXzu3Lnq16+fJGn8+PE6ffq0hg4dqmPHjqlJkyZaunSpAgICHPVfeukllS9fXvfee69Onz6tNm3aaN68efLw8HDUmT9/vkaOHOmYtbBLly6aMWOGtR0EAAAAcM26rH5n63KWlZUlu91+0bn0AQAAAFzdSpoNLosJMgAAAADgakPYAgAAAAALELYAAAAAwAKELQAAAACwAGELAAAAACxA2AIAAAAACxC2AAAAAMAChC0AAAAAsABhCwAAAAAsQNgCAAAAAAsQtgAAAADAAoQtAAAAALAAYQsAAAAALEDYAgAAAAALELYAAAAAwAKELQAAAACwAGELAAAAACxA2AIAAAAACxC2AAAAAMAChC0AAAAAsABhCwAAAAAsQNgCAAAAAAsQtgAAAADAAoQtAAAAALAAYQsAAAAALEDYAgAAAAALELYAAAAAwAKELQAAAACwAGELAAAAACxA2AIAAAAACxC2AAAAAMAChC0AAAAAsECZhq01a9bojjvuUEREhGw2mz755BOn5QcOHFC/fv0UEREhX19fJSQkaM+ePY7lv/zyi2w2m9vHwoULHfWqVavmsvzxxx//q7oJAAAA4BpUpmErOztb9evX14wZM1yWGWPUrVs3/fzzz1q8eLG2bNmi6OhotW3bVtnZ2ZKkyMhIpaenOz0SExPl5+enDh06OG1v8uTJTvWefPLJv6SPAAAAAK5N5cty5x06dHAJRYX27NmjlJQU7dixQzfeeKMkaebMmQoJCdF7772ngQMHysPDQ2FhYU7rLVq0SPfdd5/8/f2dygMCAlzqAgAAAIBVyjRsFScnJ0eSVKFCBUeZh4eHvLy8tHbtWg0cONBlnU2bNmnr1q169dVXXZZNmzZNU6ZMUWRkpO655x49+uij8vLyKnb/hW2QpKysLElSXl6e8vLy/nS/AAAAAFzZSpoHLtuwVatWLUVHR2vChAmaPXu2/Pz8NH36dGVkZCg9Pd3tOnPmzFHt2rXVvHlzp/JRo0apUaNGqlSpkjZs2KAJEyYoLS1Nb7zxRpH7T0pKUmJiokv50qVL5evr+791DgAAAMAV69SpUyWqZzPGGIvbUiI2m02LFi1St27dHGWbNm3SgAED9P3338vDw0Nt27ZVuXLnbjP74osvnNY/ffq0wsPD9dRTT2ncuHHF7uujjz5S9+7ddfjwYQUFBbmt4+7KVmRkpA4fPqyKFSv+yV4CAAAAuNJlZWWpcuXKyszMLDYbXLZXtiTppptu0tatW5WZmanc3FwFBwerSZMmuvnmm13qfvjhhzp16pT69Olz0e02bdpUkrR3794iw5a3t7e8vb1dyj09PeXp6VnKngAAAAC4WpQ0D1wRv7Nlt9sVHBysPXv2aOPGjeratatLnTlz5qhLly4KDg6+6Pa2bNkiSQoPD7/kbQUAAAAAqYyvbJ08eVJ79+51PE9LS9PWrVsVGBioqKgoLVy4UMHBwYqKitL27ds1atQodevWTfHx8U7b2bt3r9asWeMytFCS1q9fr5SUFMXFxclutys1NVVjxoxRly5dFBUVZXkfAQAAAFybyjRsbdy4UXFxcY7nY8eOlST17dtX8+bNU3p6usaOHasDBw4oPDxcffr00VNPPeWynTfffFNVqlRxCWHSueGAH3zwgRITE5WTk6Po6GgNGjRI48ePt65jAAAAAK55l80EGZe7rKws2e32i94EBwAAAODqVtJscEXcswUAAAAAVxrCFgAAAABYgLAFAAAAABYgbAEAAACABQhbAAAAAGABwhYAAAAAWICwBQAAAAAWIGwBAAAAgAUIWwAAAABgAcIWAAAAAFiAsAUAAAAAFiBsAQAAAIAFCFsAAAAAYAHCFgAAAABYgLAFAAAAABYgbAEAAACABQhbAAAAAGABwhYAAAAAWICwBQAAAAAWIGwBAAAAgAUIWwAAAABgAcIWAAAAAFiAsAUAAAAAFiBsAQAAAIAFCFsAAAAAYAHCFgAAAABYgLAFAAAAABYgbAEAAACABQhbAAAAAGABwhYAAAAAWICwBQAAAAAWIGwBAAAAgAUIWwAAAABggTINW2vWrNEdd9yhiIgI2Ww2ffLJJ07LDxw4oH79+ikiIkK+vr5KSEjQnj17nOq0bt1aNpvN6dGjRw+nOseOHVPv3r1lt9tlt9vVu3dvHT9+3OLeAQAAALiWlWnYys7OVv369TVjxgyXZcYYdevWTT///LMWL16sLVu2KDo6Wm3btlV2drZT3UGDBik9Pd3xmD17ttPynj17auvWrUpOTlZycrK2bt2q3r17W9o3AAAAANe28mW58w4dOqhDhw5ul+3Zs0cpKSnasWOHbrzxRknSzJkzFRISovfee08DBw501PX19VVYWJjb7fzwww9KTk5WSkqKmjRpIkn697//rWbNmmn37t2qWbOm2/VycnKUk5PjeJ6VlSVJysvLU15eXuk7CwAAAOCqUNI8UKZhqziFQadChQqOMg8PD3l5eWnt2rVOYWv+/Pl69913FRoaqg4dOmjixIkKCAiQJK1fv152u90RtCSpadOmstvtWrduXZFhKykpSYmJiS7lS5cula+v7yXpIwAAAIArz6lTp0pU77INW7Vq1VJ0dLQmTJig2bNny8/PT9OnT1dGRobS09Md9R544AHFxMQoLCxMO3bs0IQJE/T9999r2bJlkqSMjAyFhIS4bD8kJEQZGRlF7n/ChAkaO3as43lWVpYiIyMVHx+vihUrXsKeAgAAALiSFI56u5jLNmx5enrqo48+0oABAxQYGCgPDw+1bdvWZdjhoEGDHP+OjY1V9erVdfPNN2vz5s1q1KiRJMlms7ls3xjjtryQt7e3vL293bbL09Pzz3YLAAAAwBWupHngsp76/aabbtLWrVt1/PhxpaenKzk5WUeOHFFMTEyR6zRq1Eienp6OWQvDwsJ04MABl3qHDh1SaGioZW0HAAAAcG27rMNWIbvdruDgYO3Zs0cbN25U165di6y7c+dO5eXlKTw8XJLUrFkzZWZmasOGDY463333nTIzM9W8eXPL2w4AAADg2lSmwwhPnjypvXv3Op6npaVp69atCgwMVFRUlBYuXKjg4GBFRUVp+/btGjVqlLp166b4+HhJ0k8//aT58+erY8eOqly5snbt2qVx48apYcOGatGihSSpdu3aSkhI0KBBgxxTwg8ePFidO3cucnIMAAAAAPhflWnY2rhxo+Li4hzPCyek6Nu3r+bNm6f09HSNHTtWBw4cUHh4uPr06aOnnnrKUd/Ly0srVqzQP//5T508eVKRkZHq1KmTJk6cKA8PD0e9+fPna+TIkY6Q1qVLF7e/7QUAAAAAl4rNGGPKuhFXgqysLNntdmVmZjIbIQAAAHANK2k2uCLu2QIAAACAKw1hCwAAAAAsQNgCAAAAAAsQtgAAAADAAoQtAAAAALAAYQsAAAAALEDYAgAAAAALELYAAAAAwAKELQAAAACwAGELAAAAACxA2AIAAAAACxC2AAAAAMAChC0AAAAAsABhCwAAAAAsQNgCAAAAAAsQtgAAAADAAoQtAAAAALAAYQsAAAAALEDYAgAAAAALELYAAAAAwAKELQAAAACwAGELAAAAACxA2AIAAAAACxC2AAAAAMAChC0AAAAAsABhCwAAAAAsQNgCAAAAAAsQtgAAAADAAoQtAAAAALAAYQsAAAAALEDYAgAAAAALELYAAAAAwAJlGrbWrFmjO+64QxEREbLZbPrkk0+clh84cED9+vVTRESEfH19lZCQoD179jiWHz16VCNGjFDNmjXl6+urqKgojRw5UpmZmU7bqVatmmw2m9Pj8ccf/yu6CAAAAOAaVaZhKzs7W/Xr19eMGTNclhlj1K1bN/38889avHixtmzZoujoaLVt21bZ2dmSpP3792v//v164YUXtH37ds2bN0/JyckaMGCAy/YmT56s9PR0x+PJJ5+0vH8AAAAArl3ly3LnHTp0UIcOHdwu27Nnj1JSUrRjxw7deOONkqSZM2cqJCRE7733ngYOHKjY2Fh99NFHjnVuuOEGPfvss+rVq5fy8/NVvvz/715AQIDCwsKs7RAAAAAA/J8yDVvFycnJkSRVqFDBUebh4SEvLy+tXbtWAwcOdLteZmamKlas6BS0JGnatGmaMmWKIiMjdc899+jRRx+Vl5dXsfsvbIMkZWVlSZLy8vKUl5f3p/sFAAAA4MpW0jxw2YatWrVqKTo6WhMmTNDs2bPl5+en6dOnKyMjQ+np6W7XOXLkiKZMmaIhQ4Y4lY8aNUqNGjVSpUqVtGHDBk2YMEFpaWl64403itx/UlKSEhMTXcqXLl0qX1/f/61zAAAAAK5Yp06dKlE9mzHGWNyWErHZbFq0aJG6devmKNu0aZMGDBig77//Xh4eHmrbtq3KlTt3m9kXX3zhtH5WVpbi4+NVqVIlLVmyRJ6enkXu66OPPlL37t11+PBhBQUFua3j7spWZGSkDh8+rIoVK/4PPQUAAABwJcvKylLlypUdo+qKctle2ZKkm266SVu3blVmZqZyc3MVHBysJk2a6Oabb3aqd+LECSUkJMjf31+LFi0qNmhJUtOmTSVJe/fuLTJseXt7y9vb26Xc09PzotsHAAAAcPUqaR64In5ny263Kzg4WHv27NHGjRvVtWtXx7LCK1peXl5asmSJ0z1eRdmyZYskKTw83LI2AwAAALi2lemVrZMnT2rv3r2O52lpadq6dasCAwMVFRWlhQsXKjg4WFFRUdq+fbtGjRqlbt26KT4+XtK5K1rx8fE6deqU3n33XWVlZTkmsggODpaHh4fWr1+vlJQUxcXFyW63KzU1VWPGjFGXLl0UFRVVJv0GAAAAcPUr07C1ceNGxcXFOZ6PHTtWktS3b1/NmzdP6enpGjt2rA4cOKDw8HD16dNHTz31lKP+pk2b9N1330mS/va3vzltOy0tTdWqVZO3t7c++OADJSYmKicnR9HR0Ro0aJDGjx//F/QQAAAAwLXqspkg43KXlZUlu91+0ZvgAAAAAFzdSpoNroh7tgAAAADgSkPYAgAAAAALELYAAAAAwAKELQAAAACwAGELAAAAACxA2AIAAAAACxC2AAAAAMAChC0AAAAAsABhCwAAAAAsQNgCAAAAAAsQtgAAAADAAoQtAAAAALAAYQsAAAAALEDYAgAAAAALELYAAAAAwAKELQAAAACwAGELAAAAACxA2AIAAAAACxC2AAAAAMAChC0AAAAAsABhCwAAAAAsQNgCAAAAAAsQtgAAAADAAoQtAAAAALAAYQsAAAAALEDYAgAAAAALELYAAAAAwAKELQAAAACwAGELAAAAACxQvqwbcKUwxkiSsrKyyrglAAAAAMpSYSYozAhFIWyV0IkTJyRJkZGRZdwSAAAAAJeDEydOyG63F7ncZi4WxyBJOnv2rPbv36+AgADZbLaybg4AAACAMmKM0YkTJxQREaFy5Yq+M4uwBQAAAAAWYIIMAAAAALAAYQsAAAAALEDYAgAAAAALELYAAAAAwAKELQAAAACwAGELAHDN6devn2w2m2w2mzw9PRUaGqp27drpzTff1NmzZ0u8nXnz5um6666zrqEAgCsaYQsAcE1KSEhQenq6fvnlF3355ZeKi4vTqFGj1LlzZ+Xn55d18wAAVwHCFgDgmuTt7a2wsDBVqVJFjRo10hNPPKHFixfryy+/1Lx58yRJ06dPV926deXn56fIyEgNHTpUJ0+elCR9/fXX6t+/vzIzMx1XySZNmiRJys3N1fjx41WlShX5+fmpSZMm+vrrr8umowCAMkPYAgDg/9x+++2qX7++Pv74Y0lSuXLl9K9//Us7duzQW2+9pZUrV2r8+PGSpObNm+vll19WxYoVlZ6ervT0dD3yyCOSpP79++vbb7/V+++/r23btumee+5RQkKC9uzZU2Z9AwD89WzGGFPWjQAA4K/Ur18/HT9+XJ988onLsh49emjbtm3atWuXy7KFCxfq4Ycf1uHDhyWdu2dr9OjROn78uKPOTz/9pOrVq+v3339XRESEo7xt27a65ZZbNHXq1EveHwDA5al8WTcAAIDLiTFGNptNkrRq1SpNnTpVu3btUlZWlvLz83XmzBllZ2fLz8/P7fqbN2+WMUY1atRwKs/JyVFQUJDl7QcAXD4IWwAAnOeHH35QTEyM9u3bp44dO+qhhx7SlClTFBgYqLVr12rAgAHKy8srcv2zZ8/Kw8NDmzZtkoeHh9Myf39/q5sPALiMELYAAPg/K1eu1Pbt2zVmzBht3LhR+fn5evHFF1Wu3LlbnP/zn/841ffy8lJBQYFTWcOGDVVQUKCDBw+qZcuWf1nbAQCXH8IWAOCalJOTo4yMDBUUFOjAgQNKTk5WUlKSOnfurD59+mj79u3Kz8/XK6+8ojvuuEPffvutZs2a5bSNatWq6eTJk1qxYoXq168vX19f1ahRQw888ID69OmjF198UQ0bNtThw4e1cuVK1a1bVx07diyjHgMA/mrMRggAuCYlJycrPDxc1apVU0JCglatWqV//etfWrx4sTw8PNSgQQNNnz5d06ZNU2xsrObPn6+kpCSnbTRv3lwPPfSQ7rvvPgUHB+u5556TJM2dO1d9+vTRuHHjVLNmTXXp0kXfffedIiMjy6KrAIAywmyEAAAAAGABrmwBAAAAgAUIWwAAAABgAcIWAAAAAFiAsAUAAAAAFiBsAQAAAIAFCFsAAAAAYAHCFgAAAABYgLAFAAAAABYgbAEAAACABQhbAAAAAGABwhYAAAAAWOD/AfgfdTT6/1J4AAAAAElFTkSuQmCC",
+      "text/plain": [
+       "<Figure size 1000x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Convert date to day of year\n",
+    "freshet_start_date[\"day_of_year\"] = (freshet_start_date[\"first_above_critical_date\"].dt.dayofyear)\n",
+    "\n",
+    "# Make plot \n",
+    "plt.figure(figsize=(10, 5))\n",
+    "plt.scatter(freshet_start_date[\"day_of_year\"], freshet_start_date[\"year\"], marker=\"o\")\n",
+    "\n",
+    "plt.xlabel(\"Date\")\n",
+    "plt.ylabel(\"Year\")\n",
+    "plt.title(\"First date discharge exceeds critical threshold between 1970-2024\")\n",
+    "plt.grid(True)\n",
+    "\n",
+    "# Convert day of year to day in months (on the axis)\n",
+    "plt.xticks(\n",
+    "    [60, 65, 70, 75, 80, 85, 90,\n",
+    "     95, 100, 105, 110, 115, 120,\n",
+    "     125, 130, 135, 140, 145, 150],\n",
+    "    [\"Mar 1\", \"Mar 6\", \"Mar 11\", \"Mar 16\", \"Mar 21\", \"Mar 26\", \"Mar 31\",\n",
+    "     \"Apr 5\", \"Apr 10\", \"Apr 15\", \"Apr 20\", \"Apr 25\", \"Apr 30\",\n",
+    "     \"May 5\", \"May 10\", \"May 15\", \"May 20\", \"May 25\", \"May 30\"],\n",
+    ")\n",
+    "\n",
+    "# Automate x-axis range to fit data\n",
+    "plt.xlim((freshet_start_date[\"day_of_year\"].min()-1), (freshet_start_date[\"day_of_year\"].max()+1))\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "1bf87b1f-7a42-4819-af63-2dc95649c8fb",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1000x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Creating bar graph\n",
+    "\n",
+    "# Choose bin size\n",
+    "bin_size = 5   # use 10 for 10-day periods\n",
+    "\n",
+    "# Convert date to day of year\n",
+    "freshet_start_date[\"day_of_year\"] = freshet_start_date[\"first_above_critical_date\"].dt.dayofyear\n",
+    "\n",
+    "# Create bins\n",
+    "freshet_start_date[\"date_bin\"] = (freshet_start_date[\"day_of_year\"] // bin_size) * bin_size\n",
+    "\n",
+    "# Count how many years fall in each bin\n",
+    "freshet_counts = freshet_start_date.groupby(\"date_bin\").size()\n",
+    "\n",
+    "# Plot bar chart\n",
+    "plt.figure(figsize=(10, 5))\n",
+    "plt.bar(freshet_counts.index, freshet_counts.values, width=bin_size)\n",
+    "\n",
+    "# Convert x-axis from day-of-year to calendar dates\n",
+    "tick_days = freshet_counts.index\n",
+    "tick_labels = [\n",
+    "    (pd.to_datetime(\"2001-01-01\") + pd.to_timedelta(day - 1, unit=\"D\")).strftime(\"%b %d\")\n",
+    "    for day in tick_days\n",
+    "]\n",
+    "\n",
+    "plt.xticks(tick_days, tick_labels, rotation=45)\n",
+    "\n",
+    "plt.xlabel(\"Date period\")\n",
+    "plt.ylabel(\"Number of years\")\n",
+    "plt.title(\"First date discharge exceeds critical threshold\")\n",
+    "plt.grid(axis=\"y\")\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d32414f7-d742-48cb-9d94-50441c3f550c",
+   "metadata": {},
+   "source": [
+    "## End of range (river freeze-up)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f912ae02-7887-4bf3-af61-0ccc4c154fef",
+   "metadata": {},
+   "source": [
+    "### Idea 1: Critical when AFDD = x\n",
+    "\n",
+    "AFDD is Accumulated Freeze Degree Days. It calculates the accumulative temperature under 0. \n",
+    "Example: If 3 days have a mean temperature of -5 C per day, the AFDD would be 15. \n",
+    "\n",
+    "A study shows the LAR forms an ice sheet when AFDD reaches (approx) 50 degrees. https://www.iahr.org/library/infor?pid=26767 (Figure 6)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7aa6524c-9140-4756-bfc9-c67947740a8e",
+   "metadata": {},
+   "source": [
+    "### Load ERA5-forcings & TAS data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "id": "9e315bb0-0085-43e0-b0a0-0d23d6bc4ba0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Generate ERA5 data\n",
+    "\n",
+    "# ERA5_forcing = ewatercycle.forcing.sources['LumpedMakkinkForcing'].generate(\n",
+    "#     dataset=\"ERA5\",\n",
+    "#     start_time=experiment_start_date,\n",
+    "#     end_time=experiment_end_date,\n",
+    "#     shape=shape_file,\n",
+    "#     directory=forcing_path_ERA5\n",
+    "# )\n",
+    "\n",
+    "# Load ERA5 data\n",
+    "\n",
+    "# load_location = forcing_path_ERA5 / \"work\" / \"diagnostic\" / \"script\" \n",
+    "# ERA5_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=load_location)\n",
+    "\n",
+    "ERA5_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=forcing_path_ERA5)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "id": "e90fb4e3-9f06-405c-bc08-fcbc28c0ef7c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Exract tas file from Era5\n",
+    "tas_file = Path(ERA5_forcing.directory) / ERA5_forcing.filenames[\"tas\"]\n",
+    "\n",
+    "# Extract tas data from tas file\n",
+    "temp_data = xr.open_dataset(tas_file)[\"tas\"]\n",
+    "\n",
+    "# Convert to panda\n",
+    "temp_data = temp_data.to_series()\n",
+    "temp_data.index = pd.to_datetime(temp_data.index).tz_localize(None).normalize()\n",
+    "\n",
+    "# Convert Kelvin to Celsius:\n",
+    "temp_data = temp_data - 273.15\n",
+    "\n",
+    "# Create dataframe with Date, Temp & year as columns\n",
+    "temp_data = pd.DataFrame({\n",
+    "    \"Date\": temp_data.index,\n",
+    "    \"Temp\": temp_data.values,\n",
+    "    \"year\": temp_data.index.year\n",
+    "})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "id": "54ebf5d5-9ad6-4a37-8301-f204b1059c06",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">   year AFDD_critical_date       AFDD       Temp\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2014</span>         <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2014</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">11</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">10</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">41.426453</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">-13.859253</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "   year AFDD_critical_date       AFDD       Temp\n",
+       "\u001b[1;36m0\u001b[0m  \u001b[1;36m2014\u001b[0m         \u001b[1;36m2014\u001b[0m-\u001b[1;36m11\u001b[0m-\u001b[1;36m10\u001b[0m  \u001b[1;36m41.426453\u001b[0m \u001b[1;36m-13.859253\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>year</th>\n",
+       "      <th>AFDD_critical_date</th>\n",
+       "      <th>AFDD</th>\n",
+       "      <th>Temp</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2014</td>\n",
+       "      <td>2014-11-10</td>\n",
+       "      <td>41.426453</td>\n",
+       "      <td>-13.859253</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   year AFDD_critical_date       AFDD       Temp\n",
+       "0  2014         2014-11-10  41.426453 -13.859253"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "AFDD_critical = 30\n",
+    "AFDD_critical_dates = []\n",
+    "\n",
+    "# min_subzero_days = 5\n",
+    "# consec_days = 7\n",
+    "\n",
+    "start_year = start_date.year\n",
+    "end_year = end_date.year\n",
+    "\n",
+    "for year in range(start_year, end_year + 1):\n",
+    "\n",
+    "    # Set start date to 1 August\n",
+    "    year_data = temp_data[\n",
+    "        (temp_data[\"year\"] == year) &\n",
+    "        (temp_data[\"Date\"] >= pd.to_datetime(f\"{year}-10-01\"))\n",
+    "    ]\n",
+    "\n",
+    "    AFDD = 0\n",
+    "    \n",
+    "    # Isolate datasets of date & temperature data to each year \n",
+    "    for i in range(len(year_data)):\n",
+    "        temp = year_data.iloc[i][\"Temp\"]\n",
+    "        date = year_data.iloc[i][\"Date\"]\n",
+    "\n",
+    "        # Cumulative AFDD\n",
+    "        if temp < 0:\n",
+    "            AFDD += -temp\n",
+    "\n",
+    "        # Append when AFDD is critical\n",
+    "        if AFDD >= AFDD_critical:\n",
+    "            AFDD_critical_dates.append({\n",
+    "                \"year\": year,\n",
+    "                \"AFDD_critical_date\": date,\n",
+    "                \"AFDD\": AFDD,\n",
+    "                \"Temp\": temp\n",
+    "            })\n",
+    "\n",
+    "            break \n",
+    "\n",
+    "AFDD_critical_dates = pd.DataFrame(AFDD_critical_dates)\n",
+    "\n",
+    "print(AFDD_critical_dates)\n",
+    "\n",
+    "        # # Criteria 1: 5 of 7 consecutive days must be sub-zero\n",
+    "        # if i >= consec_days - 1:\n",
+    "        #     last_7_days = year_data.iloc[i - consec_days + 1 : i + 1]\n",
+    "        #     subzero_days = 0\n",
+    "\n",
+    "        #     for j in range(len(last_7_days)):\n",
+    "        #         if last_7_days.iloc[j][\"Temp\"] < 0:\n",
+    "        #             subzero_days += 1\n",
+    "\n",
+    "        #      if AFDD >= AFDD_critical and subzero_days >= required_subzero_days:\n",
+    "        #         AFDD_critical_dates.append({\n",
+    "        #             \"year\": year,\n",
+    "        #             \"AFDD_critical_date\": date,\n",
+    "        #             \"AFDD\": AFDD,\n",
+    "        #             \"Subzero days in 7 day period\": subzero_days\n",
+    "        #     })\n",
+    "        #     break\n",
+    "\n",
+    "AFDD_critical_dates"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "id": "861083f4-0521-4186-a73d-9c2aca2befa3",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1000x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Convert date to day of year\n",
+    "AFDD_critical_dates[\"day_of_year\"] = (AFDD_critical_dates[\"AFDD_critical_date\"].dt.dayofyear)\n",
+    "\n",
+    "# Make plot \n",
+    "plt.figure(figsize=(10, 5))\n",
+    "plt.scatter(AFDD_critical_dates[\"day_of_year\"], AFDD_critical_dates[\"year\"], marker=\"o\")\n",
+    "\n",
+    "plt.xlabel(\"Date\")\n",
+    "plt.ylabel(\"Year\")\n",
+    "plt.title(f\"Date of river freeze-up (AFDD >= {AFDD_critical}) between 1970-2024\")\n",
+    "plt.grid(True)\n",
+    "\n",
+    "# Convert day of year to day in months (on the axis)\n",
+    "plt.xticks(\n",
+    "    [274, 279, 284, 289, 294, 299, 304,\n",
+    "     309, 314, 319, 324, 329, 334, 339,\n",
+    "     344, 349, 354, 359, 364, 366],\n",
+    "    [\"Oct 1\", \"Oct 6\", \"Oct 11\", \"Oct 16\", \"Oct 21\", \"Oct 26\", \"Oct 31\",\n",
+    "     \"Nov 5\", \"Nov 10\", \"Nov 15\", \"Nov 20\", \"Nov 25\", \"Nov 30\", \"Dec 5\",\n",
+    "     \"Dec 10\", \"Dec 15\", \"Dec 20\", \"Dec 25\", \"Dec 30\", \"Dec 31\"],\n",
+    ")\n",
+    "\n",
+    "# Prevent y-axis from showing decimal years\n",
+    "# plt.yticks(range(start_year, end_year + 1))\n",
+    "\n",
+    "# Automate x-axis range to fit data\n",
+    "plt.xlim((AFDD_critical_dates[\"day_of_year\"].min()-1), (AFDD_critical_dates[\"day_of_year\"].max()+1))\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "id": "7995d878-10ac-4e6e-aa0f-b8e281d5aaf6",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1000x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot temp for 1 year for fun:\n",
+    "selected_year = 2014\n",
+    "year_data = temp_data[temp_data[\"year\"] == selected_year]\n",
+    "\n",
+    "plt.figure(figsize=(10, 5))\n",
+    "plt.title(f\"Temperature time series showing date of river freeze-up (AFDD >= {AFDD_critical}) for 2014\")\n",
+    "plt.scatter(year_data[\"Date\"], year_data[\"Temp\"], marker=\"o\")\n",
+    "plt.axhline(\n",
+    "    y=0,\n",
+    "    linestyle=\":\",\n",
+    "    color=\"black\",\n",
+    "    label=\"0°C\"\n",
+    ")\n",
+    "\n",
+    "# Extract & plot critical AFDD date for selected year\n",
+    "AFDD_critical_date = AFDD_critical_dates.loc[AFDD_critical_dates[\"year\"] == selected_year, \"AFDD_critical_date\"].iloc[0]\n",
+    "plt.axvline(\n",
+    "    x=AFDD_critical_date,\n",
+    "    linestyle=\":\",\n",
+    "    color=\"orange\",\n",
+    "    label=\"River freeze-up\"\n",
+    ")\n",
+    "\n",
+    "plt.xlabel(\"Date\")\n",
+    "plt.ylabel(\"Temperature (°C)\")\n",
+    "plt.legend()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5b3a1903-f809-45da-ad01-13313da0afea",
+   "metadata": {},
+   "source": [
+    "### Idea 2: Critical when q_critical < 500"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6e7f55d8-67b3-4721-912b-511875ecdbb4",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a0f3c170-d57e-4d00-80c0-1bc1f090b940",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f655679f-10de-42bf-88b9-ef58385bd62c",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c6b724d3-19f0-4ec3-9bb6-1828e22b320d",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "078fc0ee-197a-45de-87b5-9a00eec5801f",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "fabbb9d8-1446-474d-b329-83c221d3f018",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

From 9e775b608f805acd3437c0e04f79c67162153631 Mon Sep 17 00:00:00 2001
From: Maxime <mxdebekker@gmail.com>
Date: Wed, 27 May 2026 16:51:26 +0200
Subject: [PATCH 03/24] Trial model LAR

Used for singular parameter set validation
---
 ...07DA001_discharge_daily_withoutmissing.csv | 24744 ++++++++++++++++
 Workyard/Calibration_HBV.ipynb                | 11052 +++++++
 Workyard/ERA5_Forcings_Generation.ipynb       |   580 +
 Workyard/HBV_Validation_Ensemble.ipynb        |  1203 +
 Workyard/Trial model LAR.ipynb                |   844 +
 5 files changed, 38423 insertions(+)
 create mode 100644 Workyard/07DA001_discharge_daily_withoutmissing.csv
 create mode 100644 Workyard/Calibration_HBV.ipynb
 create mode 100644 Workyard/ERA5_Forcings_Generation.ipynb
 create mode 100644 Workyard/HBV_Validation_Ensemble.ipynb
 create mode 100644 Workyard/Trial model LAR.ipynb

diff --git a/Workyard/07DA001_discharge_daily_withoutmissing.csv b/Workyard/07DA001_discharge_daily_withoutmissing.csv
new file mode 100644
index 00000000..f253723b
--- /dev/null
+++ b/Workyard/07DA001_discharge_daily_withoutmissing.csv
@@ -0,0 +1,24744 @@
+Daily Discharge (m3/s) (PARAM = 1) and Daily Water Level (m) (PARAM = 2)
+ ID,PARAM,Date,Value,SYM
+07DA001,1,1957/10/01,467,
+07DA001,1,1957/10/02,467,
+07DA001,1,1957/10/03,467,
+07DA001,1,1957/10/04,476,
+07DA001,1,1957/10/05,487,
+07DA001,1,1957/10/06,496,
+07DA001,1,1957/10/07,501,
+07DA001,1,1957/10/08,535,
+07DA001,1,1957/10/09,541,
+07DA001,1,1957/10/10,544,
+07DA001,1,1957/10/11,524,
+07DA001,1,1957/10/12,510,
+07DA001,1,1957/10/13,510,
+07DA001,1,1957/10/14,521,
+07DA001,1,1957/10/15,530,
+07DA001,1,1957/10/16,544,
+07DA001,1,1957/10/17,561,
+07DA001,1,1957/10/18,586,
+07DA001,1,1957/10/19,626,
+07DA001,1,1957/10/20,685,
+07DA001,1,1957/10/21,728,
+07DA001,1,1957/10/22,688,B
+07DA001,1,1957/10/23,651,B
+07DA001,1,1957/10/24,623,B
+07DA001,1,1957/10/25,572,B
+07DA001,1,1957/10/26,538,B
+07DA001,1,1957/10/27,498,B
+07DA001,1,1957/10/28,413,B
+07DA001,1,1957/10/29,394,B
+07DA001,1,1957/10/30,394,B
+07DA001,1,1957/10/31,416,B
+07DA001,1,1957/11/01,481,B
+07DA001,1,1957/11/02,530,B
+07DA001,1,1957/11/03,538,B
+07DA001,1,1957/11/04,541,B
+07DA001,1,1957/11/05,547,B
+07DA001,1,1957/11/06,575,B
+07DA001,1,1957/11/07,572,B
+07DA001,1,1957/11/08,538,B
+07DA001,1,1957/11/09,513,B
+07DA001,1,1957/11/10,484,B
+07DA001,1,1957/11/11,470,B
+07DA001,1,1957/11/12,462,B
+07DA001,1,1957/11/13,445,B
+07DA001,1,1957/11/14,439,B
+07DA001,1,1957/11/15,411,B
+07DA001,1,1957/11/16,419,B
+07DA001,1,1957/11/17,462,B
+07DA001,1,1957/11/18,436,B
+07DA001,1,1957/11/19,396,B
+07DA001,1,1957/11/20,402,B
+07DA001,1,1957/11/21,362,B
+07DA001,1,1957/11/22,331,B
+07DA001,1,1957/11/23,323,B
+07DA001,1,1957/11/24,292,B
+07DA001,1,1957/11/25,294,B
+07DA001,1,1957/11/26,354,B
+07DA001,1,1957/11/27,377,B
+07DA001,1,1957/11/28,337,B
+07DA001,1,1957/11/29,385,B
+07DA001,1,1957/11/30,422,B
+07DA001,1,1957/12/01,464,B
+07DA001,1,1957/12/02,385,B
+07DA001,1,1957/12/03,314,B
+07DA001,1,1957/12/04,394,B
+07DA001,1,1957/12/05,345,B
+07DA001,1,1957/12/06,300,B
+07DA001,1,1957/12/07,306,B
+07DA001,1,1957/12/08,311,B
+07DA001,1,1957/12/09,252,B
+07DA001,1,1957/12/10,244,B
+07DA001,1,1957/12/11,179,B
+07DA001,1,1957/12/12,292,B
+07DA001,1,1957/12/13,328,B
+07DA001,1,1957/12/14,323,B
+07DA001,1,1957/12/15,297,B
+07DA001,1,1957/12/16,255,B
+07DA001,1,1957/12/17,283,B
+07DA001,1,1957/12/18,297,B
+07DA001,1,1957/12/19,283,B
+07DA001,1,1957/12/20,283,B
+07DA001,1,1957/12/21,278,B
+07DA001,1,1957/12/22,255,B
+07DA001,1,1957/12/23,258,B
+07DA001,1,1957/12/24,263,B
+07DA001,1,1957/12/25,246,B
+07DA001,1,1957/12/26,244,B
+07DA001,1,1957/12/27,246,B
+07DA001,1,1957/12/28,241,B
+07DA001,1,1957/12/29,238,B
+07DA001,1,1957/12/30,244,B
+07DA001,1,1957/12/31,235,B
+07DA001,1,1958/01/01,246,B
+07DA001,1,1958/01/02,244,B
+07DA001,1,1958/01/03,238,B
+07DA001,1,1958/01/04,241,B
+07DA001,1,1958/01/05,232,B
+07DA001,1,1958/01/06,224,B
+07DA001,1,1958/01/07,227,B
+07DA001,1,1958/01/08,229,B
+07DA001,1,1958/01/09,218,B
+07DA001,1,1958/01/10,215,B
+07DA001,1,1958/01/11,215,B
+07DA001,1,1958/01/12,215,B
+07DA001,1,1958/01/13,215,B
+07DA001,1,1958/01/14,215,B
+07DA001,1,1958/01/15,215,B
+07DA001,1,1958/01/16,215,B
+07DA001,1,1958/01/17,215,B
+07DA001,1,1958/01/18,212,B
+07DA001,1,1958/01/19,212,B
+07DA001,1,1958/01/20,212,B
+07DA001,1,1958/01/21,207,B
+07DA001,1,1958/01/22,204,B
+07DA001,1,1958/01/23,204,B
+07DA001,1,1958/01/24,201,B
+07DA001,1,1958/01/25,204,B
+07DA001,1,1958/01/26,204,B
+07DA001,1,1958/01/27,204,B
+07DA001,1,1958/01/28,201,B
+07DA001,1,1958/01/29,198,B
+07DA001,1,1958/01/30,195,B
+07DA001,1,1958/01/31,195,B
+07DA001,1,1958/02/01,198,B
+07DA001,1,1958/02/02,195,B
+07DA001,1,1958/02/03,193,B
+07DA001,1,1958/02/04,195,B
+07DA001,1,1958/02/05,195,B
+07DA001,1,1958/02/06,195,B
+07DA001,1,1958/02/07,193,B
+07DA001,1,1958/02/08,193,B
+07DA001,1,1958/02/09,187,B
+07DA001,1,1958/02/10,184,B
+07DA001,1,1958/02/11,179,B
+07DA001,1,1958/02/12,178,B
+07DA001,1,1958/02/13,176,B
+07DA001,1,1958/02/14,173,B
+07DA001,1,1958/02/15,167,B
+07DA001,1,1958/02/16,164,B
+07DA001,1,1958/02/17,164,B
+07DA001,1,1958/02/18,161,B
+07DA001,1,1958/02/19,161,B
+07DA001,1,1958/02/20,164,B
+07DA001,1,1958/02/21,164,B
+07DA001,1,1958/02/22,170,B
+07DA001,1,1958/02/23,170,B
+07DA001,1,1958/02/24,170,B
+07DA001,1,1958/02/25,176,B
+07DA001,1,1958/02/26,178,B
+07DA001,1,1958/02/27,181,B
+07DA001,1,1958/02/28,181,B
+07DA001,1,1958/03/01,184,B
+07DA001,1,1958/03/02,184,B
+07DA001,1,1958/03/03,184,B
+07DA001,1,1958/03/04,190,B
+07DA001,1,1958/03/05,190,B
+07DA001,1,1958/03/06,190,B
+07DA001,1,1958/03/07,190,B
+07DA001,1,1958/03/08,190,B
+07DA001,1,1958/03/09,187,B
+07DA001,1,1958/03/10,184,B
+07DA001,1,1958/03/11,181,B
+07DA001,1,1958/03/12,181,B
+07DA001,1,1958/03/13,181,B
+07DA001,1,1958/03/14,184,B
+07DA001,1,1958/03/15,181,B
+07DA001,1,1958/03/16,181,B
+07DA001,1,1958/03/17,181,B
+07DA001,1,1958/03/18,181,B
+07DA001,1,1958/03/19,181,B
+07DA001,1,1958/03/20,178,B
+07DA001,1,1958/03/21,179,B
+07DA001,1,1958/03/22,178,B
+07DA001,1,1958/03/23,178,B
+07DA001,1,1958/03/24,178,B
+07DA001,1,1958/03/25,173,B
+07DA001,1,1958/03/26,170,B
+07DA001,1,1958/03/27,173,B
+07DA001,1,1958/03/28,178,B
+07DA001,1,1958/03/29,181,B
+07DA001,1,1958/03/30,181,B
+07DA001,1,1958/03/31,181,B
+07DA001,1,1958/04/01,187,B
+07DA001,1,1958/04/02,195,B
+07DA001,1,1958/04/03,201,B
+07DA001,1,1958/04/04,210,B
+07DA001,1,1958/04/05,215,B
+07DA001,1,1958/04/06,221,B
+07DA001,1,1958/04/07,244,B
+07DA001,1,1958/04/08,294,B
+07DA001,1,1958/04/09,360,B
+07DA001,1,1958/04/10,459,B
+07DA001,1,1958/04/11,646,B
+07DA001,1,1958/04/12,807,B
+07DA001,1,1958/04/13,960,B
+07DA001,1,1958/04/14,1060,B
+07DA001,1,1958/04/15,1180,B
+07DA001,1,1958/04/16,1220,B
+07DA001,1,1958/04/17,1440,B
+07DA001,1,1958/04/18,1510,B
+07DA001,1,1958/04/19,1700,B
+07DA001,1,1958/04/20,1980,B
+07DA001,1,1958/04/21,1780,B
+07DA001,1,1958/04/22,1810,B
+07DA001,1,1958/04/23,1730,B
+07DA001,1,1958/04/24,1680,B
+07DA001,1,1958/04/25,1640,B
+07DA001,1,1958/04/26,1570,B
+07DA001,1,1958/04/27,1500,
+07DA001,1,1958/04/28,1410,
+07DA001,1,1958/04/29,1350,
+07DA001,1,1958/04/30,1250,A
+07DA001,1,1958/05/01,1180,
+07DA001,1,1958/05/02,1110,
+07DA001,1,1958/05/03,1050,
+07DA001,1,1958/05/04,1030,
+07DA001,1,1958/05/05,1040,
+07DA001,1,1958/05/06,1060,
+07DA001,1,1958/05/07,1120,
+07DA001,1,1958/05/08,1150,
+07DA001,1,1958/05/09,1190,
+07DA001,1,1958/05/10,1220,
+07DA001,1,1958/05/11,1250,
+07DA001,1,1958/05/12,1260,
+07DA001,1,1958/05/13,1310,
+07DA001,1,1958/05/14,1310,
+07DA001,1,1958/05/15,1290,
+07DA001,1,1958/05/16,1310,
+07DA001,1,1958/05/17,1340,
+07DA001,1,1958/05/18,1280,
+07DA001,1,1958/05/19,1190,
+07DA001,1,1958/05/20,1120,
+07DA001,1,1958/05/21,1080,
+07DA001,1,1958/05/22,1070,
+07DA001,1,1958/05/23,1050,
+07DA001,1,1958/05/24,1020,
+07DA001,1,1958/05/25,997,
+07DA001,1,1958/05/26,1030,
+07DA001,1,1958/05/27,1150,
+07DA001,1,1958/05/28,1240,
+07DA001,1,1958/05/29,1300,
+07DA001,1,1958/05/30,1290,
+07DA001,1,1958/05/31,1290,
+07DA001,1,1958/06/01,1290,
+07DA001,1,1958/06/02,1260,
+07DA001,1,1958/06/03,1280,
+07DA001,1,1958/06/04,1420,
+07DA001,1,1958/06/05,1440,
+07DA001,1,1958/06/06,1330,
+07DA001,1,1958/06/07,1260,
+07DA001,1,1958/06/08,1220,
+07DA001,1,1958/06/09,1170,
+07DA001,1,1958/06/10,1140,
+07DA001,1,1958/06/11,1130,
+07DA001,1,1958/06/12,1120,
+07DA001,1,1958/06/13,1140,
+07DA001,1,1958/06/14,1120,
+07DA001,1,1958/06/15,1120,
+07DA001,1,1958/06/16,1100,
+07DA001,1,1958/06/17,1050,
+07DA001,1,1958/06/18,983,
+07DA001,1,1958/06/19,915,
+07DA001,1,1958/06/20,898,
+07DA001,1,1958/06/21,915,
+07DA001,1,1958/06/22,903,
+07DA001,1,1958/06/23,881,
+07DA001,1,1958/06/24,886,
+07DA001,1,1958/06/25,883,
+07DA001,1,1958/06/26,858,
+07DA001,1,1958/06/27,830,
+07DA001,1,1958/06/28,816,
+07DA001,1,1958/06/29,830,
+07DA001,1,1958/06/30,852,
+07DA001,1,1958/07/01,875,
+07DA001,1,1958/07/02,1280,
+07DA001,1,1958/07/03,2380,
+07DA001,1,1958/07/04,2170,
+07DA001,1,1958/07/05,1950,
+07DA001,1,1958/07/06,1830,
+07DA001,1,1958/07/07,1590,
+07DA001,1,1958/07/08,1410,
+07DA001,1,1958/07/09,1290,
+07DA001,1,1958/07/10,1210,
+07DA001,1,1958/07/11,1130,
+07DA001,1,1958/07/12,1050,
+07DA001,1,1958/07/13,988,
+07DA001,1,1958/07/14,943,
+07DA001,1,1958/07/15,912,
+07DA001,1,1958/07/16,900,
+07DA001,1,1958/07/17,903,
+07DA001,1,1958/07/18,923,
+07DA001,1,1958/07/19,895,
+07DA001,1,1958/07/20,830,
+07DA001,1,1958/07/21,784,
+07DA001,1,1958/07/22,765,
+07DA001,1,1958/07/23,770,
+07DA001,1,1958/07/24,776,
+07DA001,1,1958/07/25,767,
+07DA001,1,1958/07/26,759,
+07DA001,1,1958/07/27,756,
+07DA001,1,1958/07/28,756,
+07DA001,1,1958/07/29,765,
+07DA001,1,1958/07/30,711,
+07DA001,1,1958/07/31,680,
+07DA001,1,1958/08/01,665,
+07DA001,1,1958/08/02,648,
+07DA001,1,1958/08/03,648,
+07DA001,1,1958/08/04,648,
+07DA001,1,1958/08/05,648,
+07DA001,1,1958/08/06,665,
+07DA001,1,1958/08/07,671,
+07DA001,1,1958/08/08,651,
+07DA001,1,1958/08/09,620,
+07DA001,1,1958/08/10,612,
+07DA001,1,1958/08/11,572,
+07DA001,1,1958/08/12,541,
+07DA001,1,1958/08/13,569,
+07DA001,1,1958/08/14,592,
+07DA001,1,1958/08/15,564,
+07DA001,1,1958/08/16,561,
+07DA001,1,1958/08/17,558,
+07DA001,1,1958/08/18,552,
+07DA001,1,1958/08/19,549,
+07DA001,1,1958/08/20,544,
+07DA001,1,1958/08/21,535,
+07DA001,1,1958/08/22,532,
+07DA001,1,1958/08/23,530,
+07DA001,1,1958/08/24,541,
+07DA001,1,1958/08/25,544,
+07DA001,1,1958/08/26,532,
+07DA001,1,1958/08/27,524,
+07DA001,1,1958/08/28,527,
+07DA001,1,1958/08/29,524,
+07DA001,1,1958/08/30,515,
+07DA001,1,1958/08/31,530,
+07DA001,1,1958/09/01,552,
+07DA001,1,1958/09/02,572,
+07DA001,1,1958/09/03,527,
+07DA001,1,1958/09/04,498,
+07DA001,1,1958/09/05,484,
+07DA001,1,1958/09/06,467,
+07DA001,1,1958/09/07,484,
+07DA001,1,1958/09/08,524,
+07DA001,1,1958/09/09,487,
+07DA001,1,1958/09/10,450,
+07DA001,1,1958/09/11,428,
+07DA001,1,1958/09/12,408,
+07DA001,1,1958/09/13,394,
+07DA001,1,1958/09/14,405,
+07DA001,1,1958/09/15,442,
+07DA001,1,1958/09/16,467,
+07DA001,1,1958/09/17,501,
+07DA001,1,1958/09/18,518,
+07DA001,1,1958/09/19,532,
+07DA001,1,1958/09/20,555,
+07DA001,1,1958/09/21,572,
+07DA001,1,1958/09/22,549,
+07DA001,1,1958/09/23,518,
+07DA001,1,1958/09/24,501,
+07DA001,1,1958/09/25,504,
+07DA001,1,1958/09/26,490,
+07DA001,1,1958/09/27,470,
+07DA001,1,1958/09/28,464,
+07DA001,1,1958/09/29,456,
+07DA001,1,1958/09/30,436,
+07DA001,1,1958/10/01,425,E
+07DA001,1,1958/10/02,416,E
+07DA001,1,1958/10/03,416,E
+07DA001,1,1958/10/04,402,E
+07DA001,1,1958/10/05,416,E
+07DA001,1,1958/10/06,428,E
+07DA001,1,1958/10/07,425,E
+07DA001,1,1958/10/08,419,E
+07DA001,1,1958/10/09,408,E
+07DA001,1,1958/10/10,413,E
+07DA001,1,1958/10/11,430,E
+07DA001,1,1958/10/12,425,E
+07DA001,1,1958/10/13,419,E
+07DA001,1,1958/10/14,405,E
+07DA001,1,1958/10/15,399,
+07DA001,1,1958/10/16,394,
+07DA001,1,1958/10/17,385,
+07DA001,1,1958/10/18,379,
+07DA001,1,1958/10/19,379,
+07DA001,1,1958/10/20,385,
+07DA001,1,1958/10/21,396,
+07DA001,1,1958/10/22,405,
+07DA001,1,1958/10/23,411,
+07DA001,1,1958/10/24,408,
+07DA001,1,1958/10/25,402,
+07DA001,1,1958/10/26,385,
+07DA001,1,1958/10/27,377,
+07DA001,1,1958/10/28,374,
+07DA001,1,1958/10/29,368,
+07DA001,1,1958/10/30,362,
+07DA001,1,1958/10/31,354,
+07DA001,1,1958/11/01,348,
+07DA001,1,1958/11/02,343,
+07DA001,1,1958/11/03,340,B
+07DA001,1,1958/11/04,337,B
+07DA001,1,1958/11/05,328,B
+07DA001,1,1958/11/06,323,B
+07DA001,1,1958/11/07,314,B
+07DA001,1,1958/11/08,297,B
+07DA001,1,1958/11/09,300,B
+07DA001,1,1958/11/10,289,B
+07DA001,1,1958/11/11,277,B
+07DA001,1,1958/11/12,289,B
+07DA001,1,1958/11/13,273,B
+07DA001,1,1958/11/14,273,B
+07DA001,1,1958/11/15,253,B
+07DA001,1,1958/11/16,227,B
+07DA001,1,1958/11/17,180,B
+07DA001,1,1958/11/18,168,B
+07DA001,1,1958/11/19,177,B
+07DA001,1,1958/11/20,159,B
+07DA001,1,1958/11/21,168,B
+07DA001,1,1958/11/22,169,B
+07DA001,1,1958/11/23,167,B
+07DA001,1,1958/11/24,158,B
+07DA001,1,1958/11/25,148,B
+07DA001,1,1958/11/26,139,B
+07DA001,1,1958/11/27,136,B
+07DA001,1,1958/11/28,137,B
+07DA001,1,1958/11/29,135,B
+07DA001,1,1958/11/30,131,B
+07DA001,1,1958/12/01,144,B
+07DA001,1,1958/12/02,153,B
+07DA001,1,1958/12/03,152,B
+07DA001,1,1958/12/04,145,B
+07DA001,1,1958/12/05,140,B
+07DA001,1,1958/12/06,139,B
+07DA001,1,1958/12/07,137,B
+07DA001,1,1958/12/08,141,B
+07DA001,1,1958/12/09,146,B
+07DA001,1,1958/12/10,150,B
+07DA001,1,1958/12/11,161,B
+07DA001,1,1958/12/12,164,B
+07DA001,1,1958/12/13,155,B
+07DA001,1,1958/12/14,145,B
+07DA001,1,1958/12/15,140,B
+07DA001,1,1958/12/16,137,B
+07DA001,1,1958/12/17,136,B
+07DA001,1,1958/12/18,134,B
+07DA001,1,1958/12/19,134,B
+07DA001,1,1958/12/20,139,B
+07DA001,1,1958/12/21,144,B
+07DA001,1,1958/12/22,150,B
+07DA001,1,1958/12/23,157,B
+07DA001,1,1958/12/24,161,B
+07DA001,1,1958/12/25,164,B
+07DA001,1,1958/12/26,164,B
+07DA001,1,1958/12/27,170,B
+07DA001,1,1958/12/28,169,B
+07DA001,1,1958/12/29,167,B
+07DA001,1,1958/12/30,165,B
+07DA001,1,1958/12/31,167,B
+07DA001,1,1959/01/01,166,B
+07DA001,1,1959/01/02,161,B
+07DA001,1,1959/01/03,155,B
+07DA001,1,1959/01/04,146,B
+07DA001,1,1959/01/05,140,B
+07DA001,1,1959/01/06,128,B
+07DA001,1,1959/01/07,122,B
+07DA001,1,1959/01/08,125,B
+07DA001,1,1959/01/09,127,B
+07DA001,1,1959/01/10,128,B
+07DA001,1,1959/01/11,124,B
+07DA001,1,1959/01/12,120,B
+07DA001,1,1959/01/13,116,B
+07DA001,1,1959/01/14,115,B
+07DA001,1,1959/01/15,114,B
+07DA001,1,1959/01/16,114,B
+07DA001,1,1959/01/17,115,B
+07DA001,1,1959/01/18,116,B
+07DA001,1,1959/01/19,116,B
+07DA001,1,1959/01/20,117,B
+07DA001,1,1959/01/21,118,B
+07DA001,1,1959/01/22,118,B
+07DA001,1,1959/01/23,118,B
+07DA001,1,1959/01/24,118,B
+07DA001,1,1959/01/25,117,B
+07DA001,1,1959/01/26,117,B
+07DA001,1,1959/01/27,117,B
+07DA001,1,1959/01/28,117,B
+07DA001,1,1959/01/29,116,B
+07DA001,1,1959/01/30,115,B
+07DA001,1,1959/01/31,114,B
+07DA001,1,1959/02/01,114,B
+07DA001,1,1959/02/02,115,B
+07DA001,1,1959/02/03,115,B
+07DA001,1,1959/02/04,114,B
+07DA001,1,1959/02/05,115,B
+07DA001,1,1959/02/06,114,B
+07DA001,1,1959/02/07,114,B
+07DA001,1,1959/02/08,113,B
+07DA001,1,1959/02/09,111,B
+07DA001,1,1959/02/10,110,B
+07DA001,1,1959/02/11,109,B
+07DA001,1,1959/02/12,108,B
+07DA001,1,1959/02/13,109,B
+07DA001,1,1959/02/14,109,B
+07DA001,1,1959/02/15,109,B
+07DA001,1,1959/02/16,108,B
+07DA001,1,1959/02/17,107,B
+07DA001,1,1959/02/18,107,B
+07DA001,1,1959/02/19,109,B
+07DA001,1,1959/02/20,110,B
+07DA001,1,1959/02/21,111,B
+07DA001,1,1959/02/22,111,B
+07DA001,1,1959/02/23,112,B
+07DA001,1,1959/02/24,112,B
+07DA001,1,1959/02/25,113,B
+07DA001,1,1959/02/26,113,B
+07DA001,1,1959/02/27,113,B
+07DA001,1,1959/02/28,112,B
+07DA001,1,1959/03/01,113,B
+07DA001,1,1959/03/02,114,B
+07DA001,1,1959/03/03,115,B
+07DA001,1,1959/03/04,115,B
+07DA001,1,1959/03/05,115,B
+07DA001,1,1959/03/06,115,B
+07DA001,1,1959/03/07,115,B
+07DA001,1,1959/03/08,115,B
+07DA001,1,1959/03/09,115,B
+07DA001,1,1959/03/10,116,B
+07DA001,1,1959/03/11,116,B
+07DA001,1,1959/03/12,114,B
+07DA001,1,1959/03/13,115,B
+07DA001,1,1959/03/14,116,B
+07DA001,1,1959/03/15,117,B
+07DA001,1,1959/03/16,118,B
+07DA001,1,1959/03/17,119,B
+07DA001,1,1959/03/18,120,B
+07DA001,1,1959/03/19,121,B
+07DA001,1,1959/03/20,122,B
+07DA001,1,1959/03/21,123,B
+07DA001,1,1959/03/22,125,B
+07DA001,1,1959/03/23,126,B
+07DA001,1,1959/03/24,127,B
+07DA001,1,1959/03/25,129,B
+07DA001,1,1959/03/26,134,B
+07DA001,1,1959/03/27,138,B
+07DA001,1,1959/03/28,143,B
+07DA001,1,1959/03/29,143,B
+07DA001,1,1959/03/30,150,B
+07DA001,1,1959/03/31,171,B
+07DA001,1,1959/05/01,382,B
+07DA001,1,1959/05/02,382,B
+07DA001,1,1959/05/03,391,B
+07DA001,1,1959/05/04,405,B
+07DA001,1,1959/05/05,430,E
+07DA001,1,1959/05/06,470,
+07DA001,1,1959/05/07,504,
+07DA001,1,1959/05/08,555,
+07DA001,1,1959/05/09,569,
+07DA001,1,1959/05/10,555,
+07DA001,1,1959/05/11,544,
+07DA001,1,1959/05/12,549,
+07DA001,1,1959/05/13,558,
+07DA001,1,1959/05/14,589,
+07DA001,1,1959/05/15,651,
+07DA001,1,1959/05/16,728,
+07DA001,1,1959/05/17,708,E
+07DA001,1,1959/05/18,697,E
+07DA001,1,1959/05/19,691,E
+07DA001,1,1959/05/20,671,E
+07DA001,1,1959/05/21,682,E
+07DA001,1,1959/05/22,733,E
+07DA001,1,1959/05/23,745,E
+07DA001,1,1959/05/24,1050,E
+07DA001,1,1959/05/25,1020,E
+07DA001,1,1959/05/26,926,E
+07DA001,1,1959/05/27,861,E
+07DA001,1,1959/05/28,824,E
+07DA001,1,1959/05/29,867,E
+07DA001,1,1959/05/30,915,E
+07DA001,1,1959/05/31,951,E
+07DA001,1,1959/06/01,892,E
+07DA001,1,1959/06/02,827,E
+07DA001,1,1959/06/03,782,E
+07DA001,1,1959/06/04,770,E
+07DA001,1,1959/06/05,787,E
+07DA001,1,1959/06/06,799,E
+07DA001,1,1959/06/07,835,E
+07DA001,1,1959/06/08,983,E
+07DA001,1,1959/06/09,1110,E
+07DA001,1,1959/06/10,1110,E
+07DA001,1,1959/06/11,1070,E
+07DA001,1,1959/06/12,1030,E
+07DA001,1,1959/06/13,980,E
+07DA001,1,1959/06/14,934,E
+07DA001,1,1959/06/15,957,E
+07DA001,1,1959/06/16,1140,E
+07DA001,1,1959/06/17,1220,E
+07DA001,1,1959/06/18,1390,E
+07DA001,1,1959/06/19,1550,
+07DA001,1,1959/06/20,1550,
+07DA001,1,1959/06/21,1450,
+07DA001,1,1959/06/22,1410,
+07DA001,1,1959/06/23,1580,
+07DA001,1,1959/06/24,1560,
+07DA001,1,1959/06/25,1780,
+07DA001,1,1959/06/26,2000,
+07DA001,1,1959/06/27,2000,
+07DA001,1,1959/06/28,1850,
+07DA001,1,1959/06/29,1690,
+07DA001,1,1959/06/30,1610,
+07DA001,1,1959/07/01,1800,
+07DA001,1,1959/07/02,1960,
+07DA001,1,1959/07/03,1730,
+07DA001,1,1959/07/04,1580,
+07DA001,1,1959/07/05,1520,
+07DA001,1,1959/07/06,1460,
+07DA001,1,1959/07/07,1410,
+07DA001,1,1959/07/08,1380,
+07DA001,1,1959/07/09,1300,
+07DA001,1,1959/07/10,1190,
+07DA001,1,1959/07/11,1120,
+07DA001,1,1959/07/12,1050,
+07DA001,1,1959/07/13,997,
+07DA001,1,1959/07/14,934,
+07DA001,1,1959/07/15,903,
+07DA001,1,1959/07/16,909,
+07DA001,1,1959/07/17,957,
+07DA001,1,1959/07/18,1020,
+07DA001,1,1959/07/19,1060,
+07DA001,1,1959/07/20,1010,
+07DA001,1,1959/07/21,954,
+07DA001,1,1959/07/22,895,
+07DA001,1,1959/07/23,852,
+07DA001,1,1959/07/24,855,
+07DA001,1,1959/07/25,886,
+07DA001,1,1959/07/26,912,
+07DA001,1,1959/07/27,906,
+07DA001,1,1959/07/28,881,
+07DA001,1,1959/07/29,878,
+07DA001,1,1959/07/30,915,
+07DA001,1,1959/07/31,934,
+07DA001,1,1959/08/01,898,
+07DA001,1,1959/08/02,833,
+07DA001,1,1959/08/03,779,
+07DA001,1,1959/08/04,733,
+07DA001,1,1959/08/05,674,
+07DA001,1,1959/08/06,646,
+07DA001,1,1959/08/07,646,
+07DA001,1,1959/08/08,651,
+07DA001,1,1959/08/09,671,
+07DA001,1,1959/08/10,665,
+07DA001,1,1959/08/11,663,
+07DA001,1,1959/08/12,629,
+07DA001,1,1959/08/13,580,
+07DA001,1,1959/08/14,564,
+07DA001,1,1959/08/15,586,
+07DA001,1,1959/08/16,583,
+07DA001,1,1959/08/17,561,
+07DA001,1,1959/08/18,549,
+07DA001,1,1959/08/19,535,
+07DA001,1,1959/08/20,530,
+07DA001,1,1959/08/21,513,
+07DA001,1,1959/08/22,515,
+07DA001,1,1959/08/23,552,
+07DA001,1,1959/08/24,617,
+07DA001,1,1959/08/25,646,
+07DA001,1,1959/08/26,634,
+07DA001,1,1959/08/27,637,
+07DA001,1,1959/08/28,694,
+07DA001,1,1959/08/29,773,
+07DA001,1,1959/08/30,827,
+07DA001,1,1959/08/31,855,
+07DA001,1,1959/09/01,861,
+07DA001,1,1959/09/02,943,
+07DA001,1,1959/09/03,1040,
+07DA001,1,1959/09/04,1010,
+07DA001,1,1959/09/05,960,
+07DA001,1,1959/09/06,917,
+07DA001,1,1959/09/07,878,
+07DA001,1,1959/09/08,844,
+07DA001,1,1959/09/09,810,
+07DA001,1,1959/09/10,790,
+07DA001,1,1959/09/11,796,
+07DA001,1,1959/09/12,784,
+07DA001,1,1959/09/13,767,
+07DA001,1,1959/09/14,739,
+07DA001,1,1959/09/15,719,
+07DA001,1,1959/09/16,705,
+07DA001,1,1959/09/17,697,
+07DA001,1,1959/09/18,694,
+07DA001,1,1959/09/19,719,
+07DA001,1,1959/09/20,779,
+07DA001,1,1959/09/21,838,
+07DA001,1,1959/09/22,852,
+07DA001,1,1959/09/23,827,
+07DA001,1,1959/09/24,782,
+07DA001,1,1959/09/25,748,
+07DA001,1,1959/09/26,745,
+07DA001,1,1959/09/27,782,
+07DA001,1,1959/09/28,827,
+07DA001,1,1959/09/29,855,
+07DA001,1,1959/09/30,844,
+07DA001,1,1959/10/01,821,
+07DA001,1,1959/10/02,810,
+07DA001,1,1959/10/03,793,
+07DA001,1,1959/10/04,776,
+07DA001,1,1959/10/05,750,
+07DA001,1,1959/10/06,731,
+07DA001,1,1959/10/07,708,
+07DA001,1,1959/10/08,688,
+07DA001,1,1959/10/09,663,
+07DA001,1,1959/10/10,651,
+07DA001,1,1959/10/11,634,
+07DA001,1,1959/10/12,637,
+07DA001,1,1959/10/13,617,
+07DA001,1,1959/10/14,603,
+07DA001,1,1959/10/15,592,
+07DA001,1,1959/10/16,561,
+07DA001,1,1959/10/17,541,
+07DA001,1,1959/10/18,532,
+07DA001,1,1959/10/19,521,
+07DA001,1,1959/10/20,518,
+07DA001,1,1959/10/21,530,
+07DA001,1,1959/10/22,586,
+07DA001,1,1959/10/23,617,
+07DA001,1,1959/10/24,583,
+07DA001,1,1959/10/25,572,
+07DA001,1,1959/10/26,558,
+07DA001,1,1959/10/27,564,
+07DA001,1,1959/10/28,552,
+07DA001,1,1959/10/29,535,
+07DA001,1,1959/10/30,524,
+07DA001,1,1959/10/31,515,
+07DA001,1,1959/11/01,507,
+07DA001,1,1959/11/02,493,B
+07DA001,1,1959/11/03,481,B
+07DA001,1,1959/11/04,467,B
+07DA001,1,1959/11/05,445,B
+07DA001,1,1959/11/06,433,B
+07DA001,1,1959/11/07,394,B
+07DA001,1,1959/11/08,340,B
+07DA001,1,1959/11/09,309,B
+07DA001,1,1959/11/10,282,B
+07DA001,1,1959/11/11,260,B
+07DA001,1,1959/11/12,244,B
+07DA001,1,1959/11/13,253,B
+07DA001,1,1959/11/14,236,B
+07DA001,1,1959/11/15,259,B
+07DA001,1,1959/11/16,240,B
+07DA001,1,1959/11/17,226,B
+07DA001,1,1959/11/18,234,B
+07DA001,1,1959/11/19,239,B
+07DA001,1,1959/11/20,235,B
+07DA001,1,1959/11/21,223,B
+07DA001,1,1959/11/22,217,B
+07DA001,1,1959/11/23,213,B
+07DA001,1,1959/11/24,208,B
+07DA001,1,1959/11/25,205,B
+07DA001,1,1959/11/26,208,B
+07DA001,1,1959/11/27,247,B
+07DA001,1,1959/11/28,259,B
+07DA001,1,1959/11/29,269,B
+07DA001,1,1959/11/30,274,B
+07DA001,1,1959/12/01,275,B
+07DA001,1,1959/12/02,274,B
+07DA001,1,1959/12/03,271,B
+07DA001,1,1959/12/04,264,B
+07DA001,1,1959/12/05,262,B
+07DA001,1,1959/12/06,252,B
+07DA001,1,1959/12/07,251,B
+07DA001,1,1959/12/08,262,B
+07DA001,1,1959/12/09,268,B
+07DA001,1,1959/12/10,272,B
+07DA001,1,1959/12/11,274,B
+07DA001,1,1959/12/12,267,B
+07DA001,1,1959/12/13,257,B
+07DA001,1,1959/12/14,250,B
+07DA001,1,1959/12/15,247,B
+07DA001,1,1959/12/16,242,B
+07DA001,1,1959/12/17,241,B
+07DA001,1,1959/12/18,233,B
+07DA001,1,1959/12/19,229,B
+07DA001,1,1959/12/20,225,B
+07DA001,1,1959/12/21,222,B
+07DA001,1,1959/12/22,216,B
+07DA001,1,1959/12/23,210,B
+07DA001,1,1959/12/24,206,B
+07DA001,1,1959/12/25,203,B
+07DA001,1,1959/12/26,197,B
+07DA001,1,1959/12/27,188,B
+07DA001,1,1959/12/28,187,B
+07DA001,1,1959/12/29,191,B
+07DA001,1,1959/12/30,190,B
+07DA001,1,1959/12/31,188,B
+07DA001,1,1960/01/01,184,B
+07DA001,1,1960/01/02,184,B
+07DA001,1,1960/01/03,187,B
+07DA001,1,1960/01/04,189,B
+07DA001,1,1960/01/05,185,B
+07DA001,1,1960/01/06,182,B
+07DA001,1,1960/01/07,180,B
+07DA001,1,1960/01/08,178,B
+07DA001,1,1960/01/09,178,B
+07DA001,1,1960/01/10,179,B
+07DA001,1,1960/01/11,177,B
+07DA001,1,1960/01/12,173,B
+07DA001,1,1960/01/13,172,B
+07DA001,1,1960/01/14,174,B
+07DA001,1,1960/01/15,174,B
+07DA001,1,1960/01/16,174,B
+07DA001,1,1960/01/17,172,B
+07DA001,1,1960/01/18,169,B
+07DA001,1,1960/01/19,167,B
+07DA001,1,1960/01/20,166,B
+07DA001,1,1960/01/21,168,B
+07DA001,1,1960/01/22,167,B
+07DA001,1,1960/01/23,167,B
+07DA001,1,1960/01/24,166,B
+07DA001,1,1960/01/25,167,B
+07DA001,1,1960/01/26,165,B
+07DA001,1,1960/01/27,163,B
+07DA001,1,1960/01/28,161,B
+07DA001,1,1960/01/29,160,B
+07DA001,1,1960/01/30,160,B
+07DA001,1,1960/01/31,159,B
+07DA001,1,1960/02/01,159,B
+07DA001,1,1960/02/02,159,B
+07DA001,1,1960/02/03,159,B
+07DA001,1,1960/02/04,159,B
+07DA001,1,1960/02/05,159,B
+07DA001,1,1960/02/06,159,B
+07DA001,1,1960/02/07,160,B
+07DA001,1,1960/02/08,161,B
+07DA001,1,1960/02/09,162,B
+07DA001,1,1960/02/10,160,B
+07DA001,1,1960/02/11,159,B
+07DA001,1,1960/02/12,159,B
+07DA001,1,1960/02/13,160,B
+07DA001,1,1960/02/14,160,B
+07DA001,1,1960/02/15,159,B
+07DA001,1,1960/02/16,158,B
+07DA001,1,1960/02/17,157,B
+07DA001,1,1960/02/18,156,B
+07DA001,1,1960/02/19,155,B
+07DA001,1,1960/02/20,154,B
+07DA001,1,1960/02/21,153,B
+07DA001,1,1960/02/22,153,B
+07DA001,1,1960/02/23,152,B
+07DA001,1,1960/02/24,152,B
+07DA001,1,1960/02/25,151,B
+07DA001,1,1960/02/26,150,B
+07DA001,1,1960/02/27,150,B
+07DA001,1,1960/02/28,149,B
+07DA001,1,1960/02/29,148,B
+07DA001,1,1960/03/01,148,B
+07DA001,1,1960/03/02,147,B
+07DA001,1,1960/03/03,146,B
+07DA001,1,1960/03/04,145,B
+07DA001,1,1960/03/05,144,B
+07DA001,1,1960/03/06,142,B
+07DA001,1,1960/03/07,142,B
+07DA001,1,1960/03/08,141,B
+07DA001,1,1960/03/09,140,B
+07DA001,1,1960/03/10,140,B
+07DA001,1,1960/03/11,140,B
+07DA001,1,1960/03/12,138,B
+07DA001,1,1960/03/13,138,B
+07DA001,1,1960/03/14,139,B
+07DA001,1,1960/03/15,139,B
+07DA001,1,1960/03/16,139,B
+07DA001,1,1960/03/17,139,B
+07DA001,1,1960/03/18,139,B
+07DA001,1,1960/03/19,139,B
+07DA001,1,1960/03/20,139,B
+07DA001,1,1960/03/21,139,B
+07DA001,1,1960/03/22,144,B
+07DA001,1,1960/03/23,145,B
+07DA001,1,1960/03/24,145,B
+07DA001,1,1960/03/25,147,B
+07DA001,1,1960/03/26,150,B
+07DA001,1,1960/03/27,154,B
+07DA001,1,1960/03/28,157,B
+07DA001,1,1960/03/29,163,B
+07DA001,1,1960/03/30,171,B
+07DA001,1,1960/03/31,185,B
+07DA001,1,1960/04/01,239,B
+07DA001,1,1960/04/02,239,B
+07DA001,1,1960/04/03,239,B
+07DA001,1,1960/04/04,239,B
+07DA001,1,1960/04/05,239,B
+07DA001,1,1960/04/06,239,B
+07DA001,1,1960/04/07,239,B
+07DA001,1,1960/04/08,239,B
+07DA001,1,1960/04/09,239,B
+07DA001,1,1960/04/10,239,B
+07DA001,1,1960/04/11,549,B
+07DA001,1,1960/04/12,549,B
+07DA001,1,1960/04/13,549,B
+07DA001,1,1960/04/14,549,B
+07DA001,1,1960/04/15,549,B
+07DA001,1,1960/04/16,549,B
+07DA001,1,1960/04/17,549,B
+07DA001,1,1960/04/18,549,B
+07DA001,1,1960/04/19,549,B
+07DA001,1,1960/04/20,549,B
+07DA001,1,1960/04/21,637,E
+07DA001,1,1960/04/22,637,E
+07DA001,1,1960/04/23,637,E
+07DA001,1,1960/04/24,637,E
+07DA001,1,1960/04/25,637,E
+07DA001,1,1960/04/26,637,E
+07DA001,1,1960/04/27,637,E
+07DA001,1,1960/04/28,637,E
+07DA001,1,1960/04/29,637,E
+07DA001,1,1960/04/30,637,E
+07DA001,1,1960/05/01,566,E
+07DA001,1,1960/05/02,538,E
+07DA001,1,1960/05/03,518,E
+07DA001,1,1960/05/04,501,
+07DA001,1,1960/05/05,484,
+07DA001,1,1960/05/06,476,
+07DA001,1,1960/05/07,473,
+07DA001,1,1960/05/08,481,
+07DA001,1,1960/05/09,510,
+07DA001,1,1960/05/10,530,
+07DA001,1,1960/05/11,547,
+07DA001,1,1960/05/12,552,
+07DA001,1,1960/05/13,580,
+07DA001,1,1960/05/14,762,
+07DA001,1,1960/05/15,917,
+07DA001,1,1960/05/16,1040,
+07DA001,1,1960/05/17,1150,
+07DA001,1,1960/05/18,1550,
+07DA001,1,1960/05/19,1760,
+07DA001,1,1960/05/20,1650,
+07DA001,1,1960/05/21,1510,
+07DA001,1,1960/05/22,1450,
+07DA001,1,1960/05/23,1670,
+07DA001,1,1960/05/24,1640,
+07DA001,1,1960/05/25,1570,
+07DA001,1,1960/05/26,1660,
+07DA001,1,1960/05/27,1680,
+07DA001,1,1960/05/28,1630,
+07DA001,1,1960/05/29,1600,
+07DA001,1,1960/05/30,1530,
+07DA001,1,1960/05/31,1480,
+07DA001,1,1960/06/01,1440,
+07DA001,1,1960/06/02,1370,
+07DA001,1,1960/06/03,1290,
+07DA001,1,1960/06/04,1210,
+07DA001,1,1960/06/05,1160,
+07DA001,1,1960/06/06,1140,
+07DA001,1,1960/06/07,1130,
+07DA001,1,1960/06/08,1140,
+07DA001,1,1960/06/09,1140,
+07DA001,1,1960/06/10,1120,
+07DA001,1,1960/06/11,1080,
+07DA001,1,1960/06/12,1070,
+07DA001,1,1960/06/13,1090,
+07DA001,1,1960/06/14,1080,
+07DA001,1,1960/06/15,1020,
+07DA001,1,1960/06/16,988,
+07DA001,1,1960/06/17,1050,
+07DA001,1,1960/06/18,1240,
+07DA001,1,1960/06/19,1310,
+07DA001,1,1960/06/20,1350,
+07DA001,1,1960/06/21,1440,
+07DA001,1,1960/06/22,1400,
+07DA001,1,1960/06/23,1390,
+07DA001,1,1960/06/24,1340,
+07DA001,1,1960/06/25,1400,
+07DA001,1,1960/06/26,1990,
+07DA001,1,1960/06/27,2510,
+07DA001,1,1960/06/28,3000,
+07DA001,1,1960/06/29,3990,
+07DA001,1,1960/06/30,4160,
+07DA001,1,1960/07/01,3480,
+07DA001,1,1960/07/02,3140,
+07DA001,1,1960/07/03,2940,
+07DA001,1,1960/07/04,2860,
+07DA001,1,1960/07/05,2860,
+07DA001,1,1960/07/06,2890,
+07DA001,1,1960/07/07,2510,
+07DA001,1,1960/07/08,2250,
+07DA001,1,1960/07/09,2060,
+07DA001,1,1960/07/10,1890,
+07DA001,1,1960/07/11,1800,
+07DA001,1,1960/07/12,1760,
+07DA001,1,1960/07/13,1700,
+07DA001,1,1960/07/14,1550,
+07DA001,1,1960/07/15,1380,
+07DA001,1,1960/07/16,1240,
+07DA001,1,1960/07/17,1170,
+07DA001,1,1960/07/18,1160,
+07DA001,1,1960/07/19,1220,
+07DA001,1,1960/07/20,1270,
+07DA001,1,1960/07/21,1280,
+07DA001,1,1960/07/22,1260,
+07DA001,1,1960/07/23,1280,
+07DA001,1,1960/07/24,1360,
+07DA001,1,1960/07/25,1790,
+07DA001,1,1960/07/26,1980,
+07DA001,1,1960/07/27,1900,
+07DA001,1,1960/07/28,1750,
+07DA001,1,1960/07/29,1650,
+07DA001,1,1960/07/30,1540,
+07DA001,1,1960/07/31,1440,
+07DA001,1,1960/08/01,1390,
+07DA001,1,1960/08/02,1350,
+07DA001,1,1960/08/03,1310,
+07DA001,1,1960/08/04,1290,
+07DA001,1,1960/08/05,1270,
+07DA001,1,1960/08/06,1290,
+07DA001,1,1960/08/07,1280,
+07DA001,1,1960/08/08,1230,
+07DA001,1,1960/08/09,1180,
+07DA001,1,1960/08/10,1140,
+07DA001,1,1960/08/11,1130,
+07DA001,1,1960/08/12,1080,
+07DA001,1,1960/08/13,1010,
+07DA001,1,1960/08/14,949,
+07DA001,1,1960/08/15,906,
+07DA001,1,1960/08/16,875,
+07DA001,1,1960/08/17,858,
+07DA001,1,1960/08/18,858,
+07DA001,1,1960/08/19,929,
+07DA001,1,1960/08/20,946,
+07DA001,1,1960/08/21,881,
+07DA001,1,1960/08/22,838,
+07DA001,1,1960/08/23,827,
+07DA001,1,1960/08/24,864,
+07DA001,1,1960/08/25,1040,
+07DA001,1,1960/08/26,1110,
+07DA001,1,1960/08/27,1070,
+07DA001,1,1960/08/28,1030,
+07DA001,1,1960/08/29,1000,
+07DA001,1,1960/08/30,974,
+07DA001,1,1960/08/31,951,
+07DA001,1,1960/09/01,937,
+07DA001,1,1960/09/02,926,
+07DA001,1,1960/09/03,906,
+07DA001,1,1960/09/04,883,
+07DA001,1,1960/09/05,878,
+07DA001,1,1960/09/06,1310,
+07DA001,1,1960/09/07,1660,
+07DA001,1,1960/09/08,1750,
+07DA001,1,1960/09/09,1710,
+07DA001,1,1960/09/10,1600,
+07DA001,1,1960/09/11,1520,
+07DA001,1,1960/09/12,1460,
+07DA001,1,1960/09/13,1390,
+07DA001,1,1960/09/14,1290,
+07DA001,1,1960/09/15,1210,
+07DA001,1,1960/09/16,1140,
+07DA001,1,1960/09/17,1080,
+07DA001,1,1960/09/18,1030,
+07DA001,1,1960/09/19,1010,
+07DA001,1,1960/09/20,980,
+07DA001,1,1960/09/21,943,
+07DA001,1,1960/09/22,912,
+07DA001,1,1960/09/23,883,
+07DA001,1,1960/09/24,855,
+07DA001,1,1960/09/25,838,
+07DA001,1,1960/09/26,818,
+07DA001,1,1960/09/27,861,
+07DA001,1,1960/09/28,867,
+07DA001,1,1960/09/29,847,
+07DA001,1,1960/09/30,818,
+07DA001,1,1960/10/01,793,
+07DA001,1,1960/10/02,957,
+07DA001,1,1960/10/03,742,
+07DA001,1,1960/10/04,722,
+07DA001,1,1960/10/05,705,
+07DA001,1,1960/10/06,691,
+07DA001,1,1960/10/07,674,
+07DA001,1,1960/10/08,657,
+07DA001,1,1960/10/09,654,
+07DA001,1,1960/10/10,648,
+07DA001,1,1960/10/11,646,
+07DA001,1,1960/10/12,640,
+07DA001,1,1960/10/13,648,
+07DA001,1,1960/10/14,654,
+07DA001,1,1960/10/15,654,
+07DA001,1,1960/10/16,657,
+07DA001,1,1960/10/17,660,
+07DA001,1,1960/10/18,651,
+07DA001,1,1960/10/19,637,
+07DA001,1,1960/10/20,620,
+07DA001,1,1960/10/21,609,
+07DA001,1,1960/10/22,603,
+07DA001,1,1960/10/23,580,
+07DA001,1,1960/10/24,597,
+07DA001,1,1960/10/25,609,
+07DA001,1,1960/10/26,617,
+07DA001,1,1960/10/27,612,
+07DA001,1,1960/10/28,606,
+07DA001,1,1960/10/29,600,
+07DA001,1,1960/10/30,583,
+07DA001,1,1960/10/31,578,
+07DA001,1,1960/11/01,606,
+07DA001,1,1960/11/02,617,
+07DA001,1,1960/11/03,597,
+07DA001,1,1960/11/04,566,
+07DA001,1,1960/11/05,552,
+07DA001,1,1960/11/06,535,
+07DA001,1,1960/11/07,538,
+07DA001,1,1960/11/08,513,B
+07DA001,1,1960/11/09,467,B
+07DA001,1,1960/11/10,501,B
+07DA001,1,1960/11/11,513,B
+07DA001,1,1960/11/12,470,B
+07DA001,1,1960/11/13,453,B
+07DA001,1,1960/11/14,459,B
+07DA001,1,1960/11/15,396,B
+07DA001,1,1960/11/16,399,B
+07DA001,1,1960/11/17,413,B
+07DA001,1,1960/11/18,422,B
+07DA001,1,1960/11/19,425,B
+07DA001,1,1960/11/20,413,B
+07DA001,1,1960/11/21,416,B
+07DA001,1,1960/11/22,408,B
+07DA001,1,1960/11/23,377,B
+07DA001,1,1960/11/24,343,B
+07DA001,1,1960/11/25,326,B
+07DA001,1,1960/11/26,309,B
+07DA001,1,1960/11/27,300,B
+07DA001,1,1960/11/28,303,B
+07DA001,1,1960/11/29,273,B
+07DA001,1,1960/11/30,274,B
+07DA001,1,1960/12/01,281,B
+07DA001,1,1960/12/02,278,B
+07DA001,1,1960/12/03,272,B
+07DA001,1,1960/12/04,262,B
+07DA001,1,1960/12/05,251,B
+07DA001,1,1960/12/06,244,B
+07DA001,1,1960/12/07,236,B
+07DA001,1,1960/12/08,221,B
+07DA001,1,1960/12/09,215,B
+07DA001,1,1960/12/10,221,B
+07DA001,1,1960/12/11,223,B
+07DA001,1,1960/12/12,231,B
+07DA001,1,1960/12/13,237,B
+07DA001,1,1960/12/14,233,B
+07DA001,1,1960/12/15,219,B
+07DA001,1,1960/12/16,215,B
+07DA001,1,1960/12/17,212,B
+07DA001,1,1960/12/18,209,B
+07DA001,1,1960/12/19,207,B
+07DA001,1,1960/12/20,206,B
+07DA001,1,1960/12/21,209,B
+07DA001,1,1960/12/22,213,B
+07DA001,1,1960/12/23,217,B
+07DA001,1,1960/12/24,215,B
+07DA001,1,1960/12/25,208,B
+07DA001,1,1960/12/26,202,B
+07DA001,1,1960/12/27,201,B
+07DA001,1,1960/12/28,200,B
+07DA001,1,1960/12/29,201,B
+07DA001,1,1960/12/30,202,B
+07DA001,1,1960/12/31,204,B
+07DA001,1,1961/01/01,208,B
+07DA001,1,1961/01/02,215,B
+07DA001,1,1961/01/03,218,B
+07DA001,1,1961/01/04,218,B
+07DA001,1,1961/01/05,216,B
+07DA001,1,1961/01/06,214,B
+07DA001,1,1961/01/07,211,B
+07DA001,1,1961/01/08,211,B
+07DA001,1,1961/01/09,213,B
+07DA001,1,1961/01/10,215,B
+07DA001,1,1961/01/11,215,B
+07DA001,1,1961/01/12,214,B
+07DA001,1,1961/01/13,213,B
+07DA001,1,1961/01/14,215,B
+07DA001,1,1961/01/15,215,B
+07DA001,1,1961/01/16,215,B
+07DA001,1,1961/01/17,213,B
+07DA001,1,1961/01/18,210,B
+07DA001,1,1961/01/19,212,B
+07DA001,1,1961/01/20,214,B
+07DA001,1,1961/01/21,216,B
+07DA001,1,1961/01/22,212,B
+07DA001,1,1961/01/23,209,B
+07DA001,1,1961/01/24,207,B
+07DA001,1,1961/01/25,203,B
+07DA001,1,1961/01/26,200,B
+07DA001,1,1961/01/27,197,B
+07DA001,1,1961/01/28,193,B
+07DA001,1,1961/01/29,189,B
+07DA001,1,1961/01/30,187,B
+07DA001,1,1961/01/31,187,B
+07DA001,1,1961/02/01,186,B
+07DA001,1,1961/02/02,184,B
+07DA001,1,1961/02/03,183,B
+07DA001,1,1961/02/04,181,B
+07DA001,1,1961/02/05,180,B
+07DA001,1,1961/02/06,179,B
+07DA001,1,1961/02/07,178,B
+07DA001,1,1961/02/08,177,B
+07DA001,1,1961/02/09,175,B
+07DA001,1,1961/02/10,177,B
+07DA001,1,1961/02/11,180,B
+07DA001,1,1961/02/12,181,B
+07DA001,1,1961/02/13,182,B
+07DA001,1,1961/02/14,183,B
+07DA001,1,1961/02/15,187,B
+07DA001,1,1961/02/16,189,B
+07DA001,1,1961/02/17,186,B
+07DA001,1,1961/02/18,184,B
+07DA001,1,1961/02/19,183,B
+07DA001,1,1961/02/20,181,B
+07DA001,1,1961/02/21,180,B
+07DA001,1,1961/02/22,178,B
+07DA001,1,1961/02/23,178,B
+07DA001,1,1961/02/24,177,B
+07DA001,1,1961/02/25,174,B
+07DA001,1,1961/02/26,173,B
+07DA001,1,1961/02/27,174,B
+07DA001,1,1961/02/28,174,B
+07DA001,1,1961/03/01,175,B
+07DA001,1,1961/03/02,176,B
+07DA001,1,1961/03/03,176,B
+07DA001,1,1961/03/04,175,B
+07DA001,1,1961/03/05,174,B
+07DA001,1,1961/03/06,172,B
+07DA001,1,1961/03/07,170,B
+07DA001,1,1961/03/08,168,B
+07DA001,1,1961/03/09,167,B
+07DA001,1,1961/03/10,166,B
+07DA001,1,1961/03/11,165,B
+07DA001,1,1961/03/12,166,B
+07DA001,1,1961/03/13,167,B
+07DA001,1,1961/03/14,168,B
+07DA001,1,1961/03/15,170,B
+07DA001,1,1961/03/16,173,B
+07DA001,1,1961/03/17,176,B
+07DA001,1,1961/03/18,179,B
+07DA001,1,1961/03/19,182,B
+07DA001,1,1961/03/20,185,B
+07DA001,1,1961/03/21,187,B
+07DA001,1,1961/03/22,190,B
+07DA001,1,1961/03/23,192,B
+07DA001,1,1961/03/24,195,B
+07DA001,1,1961/03/25,199,B
+07DA001,1,1961/03/26,203,B
+07DA001,1,1961/03/27,207,B
+07DA001,1,1961/03/28,212,B
+07DA001,1,1961/03/29,216,B
+07DA001,1,1961/03/30,220,B
+07DA001,1,1961/03/31,232,B
+07DA001,1,1961/04/01,237,B
+07DA001,1,1961/04/02,239,B
+07DA001,1,1961/04/03,266,B
+07DA001,1,1961/04/04,286,B
+07DA001,1,1961/04/05,309,B
+07DA001,1,1961/04/06,328,B
+07DA001,1,1961/04/07,337,B
+07DA001,1,1961/04/08,343,B
+07DA001,1,1961/04/09,345,B
+07DA001,1,1961/04/10,351,B
+07DA001,1,1961/04/11,354,B
+07DA001,1,1961/04/12,351,B
+07DA001,1,1961/04/13,348,B
+07DA001,1,1961/04/14,345,B
+07DA001,1,1961/04/15,348,B
+07DA001,1,1961/04/16,348,B
+07DA001,1,1961/04/17,351,B
+07DA001,1,1961/04/18,360,B
+07DA001,1,1961/04/19,371,B
+07DA001,1,1961/04/20,377,B
+07DA001,1,1961/04/21,382,B
+07DA001,1,1961/04/22,388,B
+07DA001,1,1961/04/23,391,B
+07DA001,1,1961/04/24,394,B
+07DA001,1,1961/04/25,419,B
+07DA001,1,1961/04/26,433,B
+07DA001,1,1961/04/27,447,B
+07DA001,1,1961/04/28,530,B
+07DA001,1,1961/04/29,493,B
+07DA001,1,1961/04/30,513,B
+07DA001,1,1961/05/01,530,B
+07DA001,1,1961/05/02,527,B
+07DA001,1,1961/05/03,515,B
+07DA001,1,1961/05/04,589,B
+07DA001,1,1961/05/05,648,B
+07DA001,1,1961/05/06,708,B
+07DA001,1,1961/05/07,748,
+07DA001,1,1961/05/08,796,
+07DA001,1,1961/05/09,821,
+07DA001,1,1961/05/10,867,E
+07DA001,1,1961/05/11,883,
+07DA001,1,1961/05/12,895,
+07DA001,1,1961/05/13,878,
+07DA001,1,1961/05/14,872,
+07DA001,1,1961/05/15,869,
+07DA001,1,1961/05/16,855,
+07DA001,1,1961/05/17,850,
+07DA001,1,1961/05/18,852,
+07DA001,1,1961/05/19,869,
+07DA001,1,1961/05/20,867,
+07DA001,1,1961/05/21,878,
+07DA001,1,1961/05/22,895,
+07DA001,1,1961/05/23,892,
+07DA001,1,1961/05/24,886,
+07DA001,1,1961/05/25,872,
+07DA001,1,1961/05/26,895,
+07DA001,1,1961/05/27,977,
+07DA001,1,1961/05/28,1050,
+07DA001,1,1961/05/29,1140,
+07DA001,1,1961/05/30,1230,
+07DA001,1,1961/05/31,1200,
+07DA001,1,1961/06/01,1230,
+07DA001,1,1961/06/02,1420,
+07DA001,1,1961/06/03,1350,
+07DA001,1,1961/06/04,1190,
+07DA001,1,1961/06/05,1100,
+07DA001,1,1961/06/06,1070,
+07DA001,1,1961/06/07,1090,
+07DA001,1,1961/06/08,1140,
+07DA001,1,1961/06/09,1200,
+07DA001,1,1961/06/10,1250,
+07DA001,1,1961/06/11,1250,
+07DA001,1,1961/06/12,1290,
+07DA001,1,1961/06/13,1300,
+07DA001,1,1961/06/14,1220,
+07DA001,1,1961/06/15,1100,
+07DA001,1,1961/06/16,1030,
+07DA001,1,1961/06/17,1010,
+07DA001,1,1961/06/18,1050,
+07DA001,1,1961/06/19,1090,
+07DA001,1,1961/06/20,1060,
+07DA001,1,1961/06/21,1040,
+07DA001,1,1961/06/22,1060,
+07DA001,1,1961/06/23,1060,
+07DA001,1,1961/06/24,1060,
+07DA001,1,1961/06/25,1060,
+07DA001,1,1961/06/26,1040,
+07DA001,1,1961/06/27,994,
+07DA001,1,1961/06/28,983,
+07DA001,1,1961/06/29,966,
+07DA001,1,1961/06/30,1020,
+07DA001,1,1961/07/01,1270,
+07DA001,1,1961/07/02,1510,
+07DA001,1,1961/07/03,1610,
+07DA001,1,1961/07/04,1740,
+07DA001,1,1961/07/05,1840,
+07DA001,1,1961/07/06,1700,
+07DA001,1,1961/07/07,1500,
+07DA001,1,1961/07/08,1360,
+07DA001,1,1961/07/09,1270,
+07DA001,1,1961/07/10,1180,
+07DA001,1,1961/07/11,1170,
+07DA001,1,1961/07/12,1250,
+07DA001,1,1961/07/13,1270,
+07DA001,1,1961/07/14,1190,
+07DA001,1,1961/07/15,1070,
+07DA001,1,1961/07/16,971,
+07DA001,1,1961/07/17,903,
+07DA001,1,1961/07/18,858,
+07DA001,1,1961/07/19,833,
+07DA001,1,1961/07/20,841,
+07DA001,1,1961/07/21,926,
+07DA001,1,1961/07/22,971,
+07DA001,1,1961/07/23,980,
+07DA001,1,1961/07/24,934,
+07DA001,1,1961/07/25,895,
+07DA001,1,1961/07/26,889,
+07DA001,1,1961/07/27,951,
+07DA001,1,1961/07/28,1090,
+07DA001,1,1961/07/29,1190,
+07DA001,1,1961/07/30,1230,
+07DA001,1,1961/07/31,1210,
+07DA001,1,1961/08/01,1140,
+07DA001,1,1961/08/02,1080,
+07DA001,1,1961/08/03,1090,
+07DA001,1,1961/08/04,1150,
+07DA001,1,1961/08/05,1120,
+07DA001,1,1961/08/06,1050,
+07DA001,1,1961/08/07,974,
+07DA001,1,1961/08/08,951,
+07DA001,1,1961/08/09,920,
+07DA001,1,1961/08/10,886,
+07DA001,1,1961/08/11,852,
+07DA001,1,1961/08/12,850,
+07DA001,1,1961/08/13,810,
+07DA001,1,1961/08/14,750,
+07DA001,1,1961/08/15,719,
+07DA001,1,1961/08/16,688,
+07DA001,1,1961/08/17,651,
+07DA001,1,1961/08/18,629,
+07DA001,1,1961/08/19,614,
+07DA001,1,1961/08/20,617,
+07DA001,1,1961/08/21,617,
+07DA001,1,1961/08/22,631,
+07DA001,1,1961/08/23,637,
+07DA001,1,1961/08/24,634,
+07DA001,1,1961/08/25,617,E
+07DA001,1,1961/08/26,606,E
+07DA001,1,1961/08/27,606,E
+07DA001,1,1961/08/28,612,E
+07DA001,1,1961/08/29,603,E
+07DA001,1,1961/08/30,586,E
+07DA001,1,1961/08/31,575,E
+07DA001,1,1961/09/01,578,E
+07DA001,1,1961/09/02,544,E
+07DA001,1,1961/09/03,521,E
+07DA001,1,1961/09/04,515,E
+07DA001,1,1961/09/05,521,E
+07DA001,1,1961/09/06,515,E
+07DA001,1,1961/09/07,544,E
+07DA001,1,1961/09/08,521,E
+07DA001,1,1961/09/09,476,E
+07DA001,1,1961/09/10,476,E
+07DA001,1,1961/09/11,530,E
+07DA001,1,1961/09/12,566,E
+07DA001,1,1961/09/13,504,E
+07DA001,1,1961/09/14,459,E
+07DA001,1,1961/09/15,428,E
+07DA001,1,1961/09/16,405,E
+07DA001,1,1961/09/17,391,E
+07DA001,1,1961/09/18,374,E
+07DA001,1,1961/09/19,360,E
+07DA001,1,1961/09/20,351,E
+07DA001,1,1961/09/21,343,E
+07DA001,1,1961/09/22,343,E
+07DA001,1,1961/09/23,343,E
+07DA001,1,1961/09/24,343,E
+07DA001,1,1961/09/25,360,E
+07DA001,1,1961/09/26,365,E
+07DA001,1,1961/09/27,354,E
+07DA001,1,1961/09/28,345,E
+07DA001,1,1961/09/29,337,E
+07DA001,1,1961/09/30,331,E
+07DA001,1,1961/10/01,309,E
+07DA001,1,1961/10/02,311,E
+07DA001,1,1961/10/03,311,E
+07DA001,1,1961/10/04,309,E
+07DA001,1,1961/10/05,311,E
+07DA001,1,1961/10/06,306,E
+07DA001,1,1961/10/07,300,E
+07DA001,1,1961/10/08,297,E
+07DA001,1,1961/10/09,286,E
+07DA001,1,1961/10/10,286,E
+07DA001,1,1961/10/11,289,E
+07DA001,1,1961/10/12,334,E
+07DA001,1,1961/10/13,379,E
+07DA001,1,1961/10/14,374,E
+07DA001,1,1961/10/15,357,E
+07DA001,1,1961/10/16,345,E
+07DA001,1,1961/10/17,345,E
+07DA001,1,1961/10/18,340,E
+07DA001,1,1961/10/19,334,E
+07DA001,1,1961/10/20,340,E
+07DA001,1,1961/10/21,422,E
+07DA001,1,1961/10/22,682,E
+07DA001,1,1961/10/23,756,E
+07DA001,1,1961/10/24,674,E
+07DA001,1,1961/10/25,617,E
+07DA001,1,1961/10/26,552,E
+07DA001,1,1961/10/27,490,E
+07DA001,1,1961/10/28,459,E
+07DA001,1,1961/10/29,459,E
+07DA001,1,1961/10/30,425,B
+07DA001,1,1961/10/31,413,B
+07DA001,1,1961/11/01,399,B
+07DA001,1,1961/11/02,402,B
+07DA001,1,1961/11/03,377,B
+07DA001,1,1961/11/04,388,B
+07DA001,1,1961/11/05,357,B
+07DA001,1,1961/11/06,365,B
+07DA001,1,1961/11/07,340,B
+07DA001,1,1961/11/08,244,B
+07DA001,1,1961/11/09,272,B
+07DA001,1,1961/11/10,317,B
+07DA001,1,1961/11/11,262,B
+07DA001,1,1961/11/12,294,B
+07DA001,1,1961/11/13,306,B
+07DA001,1,1961/11/14,300,B
+07DA001,1,1961/11/15,309,B
+07DA001,1,1961/11/16,309,B
+07DA001,1,1961/11/17,294,B
+07DA001,1,1961/11/18,231,B
+07DA001,1,1961/11/19,216,B
+07DA001,1,1961/11/20,208,B
+07DA001,1,1961/11/21,201,B
+07DA001,1,1961/11/22,200,B
+07DA001,1,1961/11/23,187,B
+07DA001,1,1961/11/24,176,B
+07DA001,1,1961/11/25,153,B
+07DA001,1,1961/11/26,157,B
+07DA001,1,1961/11/27,205,B
+07DA001,1,1961/11/28,163,B
+07DA001,1,1961/11/29,161,B
+07DA001,1,1961/11/30,187,B
+07DA001,1,1961/12/01,193,B
+07DA001,1,1961/12/02,189,B
+07DA001,1,1961/12/03,182,B
+07DA001,1,1961/12/04,182,B
+07DA001,1,1961/12/05,182,B
+07DA001,1,1961/12/06,178,B
+07DA001,1,1961/12/07,164,B
+07DA001,1,1961/12/08,151,B
+07DA001,1,1961/12/09,144,B
+07DA001,1,1961/12/10,139,B
+07DA001,1,1961/12/11,133,B
+07DA001,1,1961/12/12,133,B
+07DA001,1,1961/12/13,143,B
+07DA001,1,1961/12/14,161,B
+07DA001,1,1961/12/15,166,B
+07DA001,1,1961/12/16,165,B
+07DA001,1,1961/12/17,162,B
+07DA001,1,1961/12/18,156,B
+07DA001,1,1961/12/19,151,B
+07DA001,1,1961/12/20,146,B
+07DA001,1,1961/12/21,140,B
+07DA001,1,1961/12/22,137,B
+07DA001,1,1961/12/23,133,B
+07DA001,1,1961/12/24,135,B
+07DA001,1,1961/12/25,138,B
+07DA001,1,1961/12/26,137,B
+07DA001,1,1961/12/27,137,B
+07DA001,1,1961/12/28,133,B
+07DA001,1,1961/12/29,132,B
+07DA001,1,1961/12/30,130,B
+07DA001,1,1961/12/31,130,B
+07DA001,1,1962/01/01,134,B
+07DA001,1,1962/01/02,139,B
+07DA001,1,1962/01/03,143,B
+07DA001,1,1962/01/04,144,B
+07DA001,1,1962/01/05,146,B
+07DA001,1,1962/01/06,147,B
+07DA001,1,1962/01/07,146,B
+07DA001,1,1962/01/08,150,B
+07DA001,1,1962/01/09,151,B
+07DA001,1,1962/01/10,157,B
+07DA001,1,1962/01/11,156,B
+07DA001,1,1962/01/12,154,B
+07DA001,1,1962/01/13,153,B
+07DA001,1,1962/01/14,151,B
+07DA001,1,1962/01/15,153,B
+07DA001,1,1962/01/16,151,B
+07DA001,1,1962/01/17,150,B
+07DA001,1,1962/01/18,144,B
+07DA001,1,1962/01/19,144,B
+07DA001,1,1962/01/20,139,B
+07DA001,1,1962/01/21,141,B
+07DA001,1,1962/01/22,141,B
+07DA001,1,1962/01/23,139,B
+07DA001,1,1962/01/24,137,B
+07DA001,1,1962/01/25,132,B
+07DA001,1,1962/01/26,130,B
+07DA001,1,1962/01/27,130,B
+07DA001,1,1962/01/28,129,B
+07DA001,1,1962/01/29,128,B
+07DA001,1,1962/01/30,127,B
+07DA001,1,1962/01/31,126,B
+07DA001,1,1962/02/01,126,B
+07DA001,1,1962/02/02,125,B
+07DA001,1,1962/02/03,124,B
+07DA001,1,1962/02/04,121,B
+07DA001,1,1962/02/05,120,B
+07DA001,1,1962/02/06,118,B
+07DA001,1,1962/02/07,118,B
+07DA001,1,1962/02/08,119,B
+07DA001,1,1962/02/09,121,B
+07DA001,1,1962/02/10,121,B
+07DA001,1,1962/02/11,120,B
+07DA001,1,1962/02/12,121,B
+07DA001,1,1962/02/13,122,B
+07DA001,1,1962/02/14,123,B
+07DA001,1,1962/02/15,122,B
+07DA001,1,1962/02/16,123,B
+07DA001,1,1962/02/17,123,B
+07DA001,1,1962/02/18,124,B
+07DA001,1,1962/02/19,119,B
+07DA001,1,1962/02/20,120,B
+07DA001,1,1962/02/21,121,B
+07DA001,1,1962/02/22,122,B
+07DA001,1,1962/02/23,123,B
+07DA001,1,1962/02/24,124,B
+07DA001,1,1962/02/25,124,B
+07DA001,1,1962/02/26,123,B
+07DA001,1,1962/02/27,123,B
+07DA001,1,1962/02/28,123,B
+07DA001,1,1962/03/01,123,B
+07DA001,1,1962/03/02,122,B
+07DA001,1,1962/03/03,121,B
+07DA001,1,1962/03/04,123,B
+07DA001,1,1962/03/05,123,B
+07DA001,1,1962/03/06,123,B
+07DA001,1,1962/03/07,123,B
+07DA001,1,1962/03/08,122,B
+07DA001,1,1962/03/09,121,B
+07DA001,1,1962/03/10,121,B
+07DA001,1,1962/03/11,121,B
+07DA001,1,1962/03/12,121,B
+07DA001,1,1962/03/13,121,B
+07DA001,1,1962/03/14,121,B
+07DA001,1,1962/03/15,122,B
+07DA001,1,1962/03/16,122,B
+07DA001,1,1962/03/17,123,B
+07DA001,1,1962/03/18,121,B
+07DA001,1,1962/03/19,121,B
+07DA001,1,1962/03/20,121,B
+07DA001,1,1962/03/21,121,B
+07DA001,1,1962/03/22,120,B
+07DA001,1,1962/03/23,121,B
+07DA001,1,1962/03/24,121,B
+07DA001,1,1962/03/25,120,B
+07DA001,1,1962/03/26,120,B
+07DA001,1,1962/03/27,121,B
+07DA001,1,1962/03/28,121,B
+07DA001,1,1962/03/29,121,B
+07DA001,1,1962/03/30,120,B
+07DA001,1,1962/03/31,119,B
+07DA001,1,1962/04/01,118,B
+07DA001,1,1962/04/02,118,B
+07DA001,1,1962/04/03,118,B
+07DA001,1,1962/04/04,119,B
+07DA001,1,1962/04/05,119,B
+07DA001,1,1962/04/06,121,B
+07DA001,1,1962/04/07,122,B
+07DA001,1,1962/04/08,125,B
+07DA001,1,1962/04/09,128,B
+07DA001,1,1962/04/10,132,B
+07DA001,1,1962/04/11,137,B
+07DA001,1,1962/04/12,146,B
+07DA001,1,1962/04/13,158,B
+07DA001,1,1962/04/14,177,B
+07DA001,1,1962/04/15,192,B
+07DA001,1,1962/04/16,334,B
+07DA001,1,1962/04/17,334,B
+07DA001,1,1962/04/18,334,B
+07DA001,1,1962/04/19,334,B
+07DA001,1,1962/04/20,334,B
+07DA001,1,1962/04/21,977,B
+07DA001,1,1962/04/22,977,B
+07DA001,1,1962/04/23,977,B
+07DA001,1,1962/04/24,977,B
+07DA001,1,1962/04/25,977,B
+07DA001,1,1962/04/26,1410,B
+07DA001,1,1962/04/27,1410,B
+07DA001,1,1962/04/28,1410,B
+07DA001,1,1962/04/29,1410,B
+07DA001,1,1962/04/30,1410,B
+07DA001,1,1962/05/01,1510,E
+07DA001,1,1962/05/02,1510,E
+07DA001,1,1962/05/03,1510,E
+07DA001,1,1962/05/04,1510,E
+07DA001,1,1962/05/05,1510,E
+07DA001,1,1962/05/06,1510,E
+07DA001,1,1962/05/07,1510,E
+07DA001,1,1962/05/08,1510,E
+07DA001,1,1962/05/09,1510,E
+07DA001,1,1962/05/10,1510,E
+07DA001,1,1962/05/11,1550,
+07DA001,1,1962/05/12,1590,
+07DA001,1,1962/05/13,1610,
+07DA001,1,1962/05/14,1620,
+07DA001,1,1962/05/15,1620,
+07DA001,1,1962/05/16,1630,E
+07DA001,1,1962/05/17,1630,E
+07DA001,1,1962/05/18,1630,E
+07DA001,1,1962/05/19,1630,E
+07DA001,1,1962/05/20,1630,E
+07DA001,1,1962/05/21,1630,E
+07DA001,1,1962/05/22,1630,E
+07DA001,1,1962/05/23,1790,E
+07DA001,1,1962/05/24,1790,E
+07DA001,1,1962/05/25,1790,E
+07DA001,1,1962/05/26,1790,E
+07DA001,1,1962/05/27,1790,E
+07DA001,1,1962/05/28,1790,E
+07DA001,1,1962/05/29,1790,E
+07DA001,1,1962/05/30,1790,E
+07DA001,1,1962/05/31,1790,E
+07DA001,1,1962/06/01,1760,E
+07DA001,1,1962/06/02,1760,E
+07DA001,1,1962/06/03,1760,E
+07DA001,1,1962/06/04,1760,E
+07DA001,1,1962/06/05,1760,E
+07DA001,1,1962/06/06,1760,E
+07DA001,1,1962/06/07,1760,E
+07DA001,1,1962/06/08,1760,E
+07DA001,1,1962/06/09,1760,E
+07DA001,1,1962/06/10,1760,E
+07DA001,1,1962/06/11,1850,E
+07DA001,1,1962/06/12,1850,E
+07DA001,1,1962/06/13,1850,E
+07DA001,1,1962/06/14,1850,E
+07DA001,1,1962/06/15,1850,E
+07DA001,1,1962/06/16,1850,E
+07DA001,1,1962/06/17,1850,E
+07DA001,1,1962/06/18,1850,E
+07DA001,1,1962/06/19,1850,E
+07DA001,1,1962/06/20,1850,E
+07DA001,1,1962/06/21,1850,E
+07DA001,1,1962/06/22,2000,
+07DA001,1,1962/06/23,2000,
+07DA001,1,1962/06/24,1960,
+07DA001,1,1962/06/25,1890,
+07DA001,1,1962/06/26,1790,
+07DA001,1,1962/06/27,1680,
+07DA001,1,1962/06/28,1590,
+07DA001,1,1962/06/29,1550,
+07DA001,1,1962/06/30,1590,
+07DA001,1,1962/07/01,1700,
+07DA001,1,1962/07/02,1870,
+07DA001,1,1962/07/03,2000,
+07DA001,1,1962/07/04,1930,
+07DA001,1,1962/07/05,1910,
+07DA001,1,1962/07/06,1930,
+07DA001,1,1962/07/07,1920,
+07DA001,1,1962/07/08,1830,
+07DA001,1,1962/07/09,1710,
+07DA001,1,1962/07/10,1580,
+07DA001,1,1962/07/11,1490,
+07DA001,1,1962/07/12,1420,
+07DA001,1,1962/07/13,1400,
+07DA001,1,1962/07/14,1430,
+07DA001,1,1962/07/15,1490,
+07DA001,1,1962/07/16,1560,
+07DA001,1,1962/07/17,1570,
+07DA001,1,1962/07/18,1610,
+07DA001,1,1962/07/19,1680,
+07DA001,1,1962/07/20,1760,
+07DA001,1,1962/07/21,1750,
+07DA001,1,1962/07/22,1900,
+07DA001,1,1962/07/23,2090,
+07DA001,1,1962/07/24,1970,
+07DA001,1,1962/07/25,1780,
+07DA001,1,1962/07/26,1680,
+07DA001,1,1962/07/27,1610,
+07DA001,1,1962/07/28,1510,
+07DA001,1,1962/07/29,1440,
+07DA001,1,1962/07/30,1420,
+07DA001,1,1962/07/31,1420,
+07DA001,1,1962/08/01,1400,
+07DA001,1,1962/08/02,1370,
+07DA001,1,1962/08/03,1340,
+07DA001,1,1962/08/04,1270,
+07DA001,1,1962/08/05,1190,
+07DA001,1,1962/08/06,1160,
+07DA001,1,1962/08/07,1170,
+07DA001,1,1962/08/08,1190,
+07DA001,1,1962/08/09,1260,
+07DA001,1,1962/08/10,1330,
+07DA001,1,1962/08/11,1330,
+07DA001,1,1962/08/12,1250,
+07DA001,1,1962/08/13,1180,
+07DA001,1,1962/08/14,1140,
+07DA001,1,1962/08/15,1100,
+07DA001,1,1962/08/16,1030,
+07DA001,1,1962/08/17,977,
+07DA001,1,1962/08/18,937,
+07DA001,1,1962/08/19,906,
+07DA001,1,1962/08/20,883,
+07DA001,1,1962/08/21,838,
+07DA001,1,1962/08/22,810,
+07DA001,1,1962/08/23,816,
+07DA001,1,1962/08/24,841,
+07DA001,1,1962/08/25,833,E
+07DA001,1,1962/08/26,833,E
+07DA001,1,1962/08/27,833,E
+07DA001,1,1962/08/28,895,
+07DA001,1,1962/08/29,787,
+07DA001,1,1962/08/30,787,E
+07DA001,1,1962/08/31,787,E
+07DA001,1,1962/09/01,759,E
+07DA001,1,1962/09/02,759,E
+07DA001,1,1962/09/03,759,E
+07DA001,1,1962/09/04,759,E
+07DA001,1,1962/09/05,759,E
+07DA001,1,1962/09/06,759,E
+07DA001,1,1962/09/07,759,E
+07DA001,1,1962/09/08,759,E
+07DA001,1,1962/09/09,722,E
+07DA001,1,1962/09/10,722,E
+07DA001,1,1962/09/11,722,E
+07DA001,1,1962/09/12,722,E
+07DA001,1,1962/09/13,722,E
+07DA001,1,1962/09/14,722,E
+07DA001,1,1962/09/15,722,E
+07DA001,1,1962/09/16,722,E
+07DA001,1,1962/09/17,844,
+07DA001,1,1962/09/18,912,
+07DA001,1,1962/09/19,889,
+07DA001,1,1962/09/20,838,
+07DA001,1,1962/09/21,816,
+07DA001,1,1962/09/22,674,E
+07DA001,1,1962/09/23,674,E
+07DA001,1,1962/09/24,674,E
+07DA001,1,1962/09/25,674,E
+07DA001,1,1962/09/26,674,E
+07DA001,1,1962/09/27,674,E
+07DA001,1,1962/09/28,674,E
+07DA001,1,1962/09/29,674,E
+07DA001,1,1962/09/30,674,E
+07DA001,1,1962/10/01,612,E
+07DA001,1,1962/10/02,597,E
+07DA001,1,1962/10/03,592,E
+07DA001,1,1962/10/04,595,E
+07DA001,1,1962/10/05,626,E
+07DA001,1,1962/10/06,578,E
+07DA001,1,1962/10/07,555,E
+07DA001,1,1962/10/08,532,E
+07DA001,1,1962/10/09,530,E
+07DA001,1,1962/10/10,524,E
+07DA001,1,1962/10/11,524,E
+07DA001,1,1962/10/12,510,E
+07DA001,1,1962/10/13,496,E
+07DA001,1,1962/10/14,490,E
+07DA001,1,1962/10/15,481,E
+07DA001,1,1962/10/16,484,E
+07DA001,1,1962/10/17,487,E
+07DA001,1,1962/10/18,490,E
+07DA001,1,1962/10/19,490,E
+07DA001,1,1962/10/20,487,E
+07DA001,1,1962/10/21,473,E
+07DA001,1,1962/10/22,459,E
+07DA001,1,1962/10/23,453,E
+07DA001,1,1962/10/24,447,E
+07DA001,1,1962/10/25,447,E
+07DA001,1,1962/10/26,453,E
+07DA001,1,1962/10/27,464,E
+07DA001,1,1962/10/28,473,E
+07DA001,1,1962/10/29,493,E
+07DA001,1,1962/10/30,479,E
+07DA001,1,1962/10/31,467,E
+07DA001,1,1962/11/01,456,E
+07DA001,1,1962/11/02,450,E
+07DA001,1,1962/11/03,447,E
+07DA001,1,1962/11/04,439,E
+07DA001,1,1962/11/05,436,E
+07DA001,1,1962/11/06,436,E
+07DA001,1,1962/11/07,439,E
+07DA001,1,1962/11/08,439,E
+07DA001,1,1962/11/09,442,E
+07DA001,1,1962/11/10,445,E
+07DA001,1,1962/11/11,439,E
+07DA001,1,1962/11/12,433,B
+07DA001,1,1962/11/13,425,B
+07DA001,1,1962/11/14,391,B
+07DA001,1,1962/11/15,351,B
+07DA001,1,1962/11/16,323,B
+07DA001,1,1962/11/17,306,B
+07DA001,1,1962/11/18,314,B
+07DA001,1,1962/11/19,306,B
+07DA001,1,1962/11/20,277,B
+07DA001,1,1962/11/21,270,B
+07DA001,1,1962/11/22,292,B
+07DA001,1,1962/11/23,345,B
+07DA001,1,1962/11/24,374,B
+07DA001,1,1962/11/25,317,B
+07DA001,1,1962/11/26,279,B
+07DA001,1,1962/11/27,294,B
+07DA001,1,1962/11/28,323,B
+07DA001,1,1962/11/29,309,B
+07DA001,1,1962/11/30,306,B
+07DA001,1,1962/12/01,286,B
+07DA001,1,1962/12/02,279,B
+07DA001,1,1962/12/03,283,B
+07DA001,1,1962/12/04,270,B
+07DA001,1,1962/12/05,264,B
+07DA001,1,1962/12/06,260,B
+07DA001,1,1962/12/07,249,B
+07DA001,1,1962/12/08,245,B
+07DA001,1,1962/12/09,239,B
+07DA001,1,1962/12/10,231,B
+07DA001,1,1962/12/11,232,B
+07DA001,1,1962/12/12,231,B
+07DA001,1,1962/12/13,227,B
+07DA001,1,1962/12/14,234,B
+07DA001,1,1962/12/15,235,B
+07DA001,1,1962/12/16,257,B
+07DA001,1,1962/12/17,254,B
+07DA001,1,1962/12/18,244,B
+07DA001,1,1962/12/19,242,B
+07DA001,1,1962/12/20,241,B
+07DA001,1,1962/12/21,240,B
+07DA001,1,1962/12/22,239,B
+07DA001,1,1962/12/23,234,B
+07DA001,1,1962/12/24,238,B
+07DA001,1,1962/12/25,246,B
+07DA001,1,1962/12/26,247,B
+07DA001,1,1962/12/27,236,B
+07DA001,1,1962/12/28,227,B
+07DA001,1,1962/12/29,218,B
+07DA001,1,1962/12/30,218,B
+07DA001,1,1962/12/31,219,B
+07DA001,1,1963/01/01,213,B
+07DA001,1,1963/01/02,206,B
+07DA001,1,1963/01/03,199,B
+07DA001,1,1963/01/04,195,B
+07DA001,1,1963/01/05,191,B
+07DA001,1,1963/01/06,189,B
+07DA001,1,1963/01/07,187,B
+07DA001,1,1963/01/08,191,B
+07DA001,1,1963/01/09,193,B
+07DA001,1,1963/01/10,202,B
+07DA001,1,1963/01/11,214,B
+07DA001,1,1963/01/12,223,B
+07DA001,1,1963/01/13,218,B
+07DA001,1,1963/01/14,214,B
+07DA001,1,1963/01/15,217,B
+07DA001,1,1963/01/16,217,B
+07DA001,1,1963/01/17,216,B
+07DA001,1,1963/01/18,211,B
+07DA001,1,1963/01/19,201,B
+07DA001,1,1963/01/20,191,B
+07DA001,1,1963/01/21,186,B
+07DA001,1,1963/01/22,186,B
+07DA001,1,1963/01/23,186,B
+07DA001,1,1963/01/24,189,B
+07DA001,1,1963/01/25,194,B
+07DA001,1,1963/01/26,198,B
+07DA001,1,1963/01/27,198,B
+07DA001,1,1963/01/28,198,B
+07DA001,1,1963/01/29,196,B
+07DA001,1,1963/01/30,193,B
+07DA001,1,1963/01/31,191,B
+07DA001,1,1963/02/01,193,B
+07DA001,1,1963/02/02,191,B
+07DA001,1,1963/02/03,191,B
+07DA001,1,1963/02/04,190,B
+07DA001,1,1963/02/05,191,B
+07DA001,1,1963/02/06,191,B
+07DA001,1,1963/02/07,191,B
+07DA001,1,1963/02/08,190,B
+07DA001,1,1963/02/09,189,B
+07DA001,1,1963/02/10,188,B
+07DA001,1,1963/02/11,188,B
+07DA001,1,1963/02/12,188,B
+07DA001,1,1963/02/13,189,B
+07DA001,1,1963/02/14,192,B
+07DA001,1,1963/02/15,196,B
+07DA001,1,1963/02/16,204,B
+07DA001,1,1963/02/17,202,B
+07DA001,1,1963/02/18,191,B
+07DA001,1,1963/02/19,192,B
+07DA001,1,1963/02/20,199,B
+07DA001,1,1963/02/21,200,B
+07DA001,1,1963/02/22,194,B
+07DA001,1,1963/02/23,191,B
+07DA001,1,1963/02/24,189,B
+07DA001,1,1963/02/25,189,B
+07DA001,1,1963/02/26,189,B
+07DA001,1,1963/02/27,188,B
+07DA001,1,1963/02/28,188,B
+07DA001,1,1963/03/01,187,B
+07DA001,1,1963/03/02,187,B
+07DA001,1,1963/03/03,188,B
+07DA001,1,1963/03/04,190,B
+07DA001,1,1963/03/05,191,B
+07DA001,1,1963/03/06,191,B
+07DA001,1,1963/03/07,191,B
+07DA001,1,1963/03/08,193,B
+07DA001,1,1963/03/09,192,B
+07DA001,1,1963/03/10,191,B
+07DA001,1,1963/03/11,191,B
+07DA001,1,1963/03/12,190,B
+07DA001,1,1963/03/13,189,B
+07DA001,1,1963/03/14,189,B
+07DA001,1,1963/03/15,190,B
+07DA001,1,1963/03/16,192,B
+07DA001,1,1963/03/17,189,B
+07DA001,1,1963/03/18,184,B
+07DA001,1,1963/03/19,183,B
+07DA001,1,1963/03/20,183,B
+07DA001,1,1963/03/21,185,B
+07DA001,1,1963/03/22,185,B
+07DA001,1,1963/03/23,185,B
+07DA001,1,1963/03/24,183,B
+07DA001,1,1963/03/25,187,B
+07DA001,1,1963/03/26,190,B
+07DA001,1,1963/03/27,191,B
+07DA001,1,1963/03/28,190,B
+07DA001,1,1963/03/29,191,B
+07DA001,1,1963/03/30,194,B
+07DA001,1,1963/03/31,193,B
+07DA001,1,1963/04/01,194,B
+07DA001,1,1963/04/02,194,B
+07DA001,1,1963/04/03,196,B
+07DA001,1,1963/04/04,196,B
+07DA001,1,1963/04/05,195,B
+07DA001,1,1963/04/06,196,B
+07DA001,1,1963/04/07,196,B
+07DA001,1,1963/04/08,196,B
+07DA001,1,1963/04/09,195,B
+07DA001,1,1963/04/10,199,B
+07DA001,1,1963/04/11,207,B
+07DA001,1,1963/04/12,199,B
+07DA001,1,1963/04/13,201,B
+07DA001,1,1963/04/14,205,B
+07DA001,1,1963/04/15,212,B
+07DA001,1,1963/04/16,253,B
+07DA001,1,1963/04/17,259,B
+07DA001,1,1963/04/18,300,B
+07DA001,1,1963/04/19,368,B
+07DA001,1,1963/04/20,501,B
+07DA001,1,1963/04/21,1360,B
+07DA001,1,1963/04/22,1950,B
+07DA001,1,1963/04/23,1910,E
+07DA001,1,1963/04/24,1940,E
+07DA001,1,1963/04/25,2100,E
+07DA001,1,1963/04/26,2150,E
+07DA001,1,1963/04/27,1880,E
+07DA001,1,1963/04/28,1950,E
+07DA001,1,1963/04/29,2090,E
+07DA001,1,1963/04/30,2250,E
+07DA001,1,1963/05/01,2330,E
+07DA001,1,1963/05/02,2250,E
+07DA001,1,1963/05/03,2190,E
+07DA001,1,1963/05/04,2210,E
+07DA001,1,1963/05/05,2180,E
+07DA001,1,1963/05/06,2050,E
+07DA001,1,1963/05/07,1870,E
+07DA001,1,1963/05/08,1710,E
+07DA001,1,1963/05/09,1570,E
+07DA001,1,1963/05/10,1470,E
+07DA001,1,1963/05/11,1420,E
+07DA001,1,1963/05/12,1370,E
+07DA001,1,1963/05/13,1330,E
+07DA001,1,1963/05/14,1290,E
+07DA001,1,1963/05/15,1250,E
+07DA001,1,1963/05/16,1250,E
+07DA001,1,1963/05/17,1250,E
+07DA001,1,1963/05/18,1260,E
+07DA001,1,1963/05/19,1270,E
+07DA001,1,1963/05/20,1270,E
+07DA001,1,1963/05/21,1260,E
+07DA001,1,1963/05/22,1210,E
+07DA001,1,1963/05/23,1160,E
+07DA001,1,1963/05/24,1120,E
+07DA001,1,1963/05/25,1090,
+07DA001,1,1963/05/26,1070,
+07DA001,1,1963/05/27,1080,
+07DA001,1,1963/05/28,1140,
+07DA001,1,1963/05/29,1230,
+07DA001,1,1963/05/30,1310,
+07DA001,1,1963/05/31,1290,
+07DA001,1,1963/06/01,1260,
+07DA001,1,1963/06/02,1200,
+07DA001,1,1963/06/03,1160,
+07DA001,1,1963/06/04,1170,
+07DA001,1,1963/06/05,1300,
+07DA001,1,1963/06/06,1360,
+07DA001,1,1963/06/07,1310,
+07DA001,1,1963/06/08,1220,
+07DA001,1,1963/06/09,1170,
+07DA001,1,1963/06/10,1170,
+07DA001,1,1963/06/11,1210,
+07DA001,1,1963/06/12,1260,
+07DA001,1,1963/06/13,1260,
+07DA001,1,1963/06/14,1210,
+07DA001,1,1963/06/15,1160,
+07DA001,1,1963/06/16,1100,E
+07DA001,1,1963/06/17,1120,E
+07DA001,1,1963/06/18,1170,E
+07DA001,1,1963/06/19,1160,E
+07DA001,1,1963/06/20,1160,E
+07DA001,1,1963/06/21,1160,E
+07DA001,1,1963/06/22,1190,E
+07DA001,1,1963/06/23,1250,E
+07DA001,1,1963/06/24,1290,E
+07DA001,1,1963/06/25,1300,E
+07DA001,1,1963/06/26,1260,E
+07DA001,1,1963/06/27,1110,E
+07DA001,1,1963/06/28,1010,E
+07DA001,1,1963/06/29,949,E
+07DA001,1,1963/06/30,917,E
+07DA001,1,1963/07/01,900,E
+07DA001,1,1963/07/02,883,E
+07DA001,1,1963/07/03,830,E
+07DA001,1,1963/07/04,773,E
+07DA001,1,1963/07/05,739,E
+07DA001,1,1963/07/06,725,E
+07DA001,1,1963/07/07,719,E
+07DA001,1,1963/07/08,728,E
+07DA001,1,1963/07/09,782,E
+07DA001,1,1963/07/10,850,E
+07DA001,1,1963/07/11,957,E
+07DA001,1,1963/07/12,1030,E
+07DA001,1,1963/07/13,1130,E
+07DA001,1,1963/07/14,1210,E
+07DA001,1,1963/07/15,1220,E
+07DA001,1,1963/07/16,1020,A
+07DA001,1,1963/07/17,960,
+07DA001,1,1963/07/18,900,
+07DA001,1,1963/07/19,875,
+07DA001,1,1963/07/20,906,
+07DA001,1,1963/07/21,997,
+07DA001,1,1963/07/22,1030,
+07DA001,1,1963/07/23,985,
+07DA001,1,1963/07/24,943,
+07DA001,1,1963/07/25,912,
+07DA001,1,1963/07/26,900,
+07DA001,1,1963/07/27,912,
+07DA001,1,1963/07/28,920,
+07DA001,1,1963/07/29,903,
+07DA001,1,1963/07/30,855,
+07DA001,1,1963/07/31,799,
+07DA001,1,1963/08/01,776,
+07DA001,1,1963/08/02,776,
+07DA001,1,1963/08/03,793,
+07DA001,1,1963/08/04,793,
+07DA001,1,1963/08/05,759,
+07DA001,1,1963/08/06,714,
+07DA001,1,1963/08/07,685,
+07DA001,1,1963/08/08,654,
+07DA001,1,1963/08/09,634,
+07DA001,1,1963/08/10,620,
+07DA001,1,1963/08/11,634,
+07DA001,1,1963/08/12,671,
+07DA001,1,1963/08/13,694,
+07DA001,1,1963/08/14,699,
+07DA001,1,1963/08/15,691,
+07DA001,1,1963/08/16,677,
+07DA001,1,1963/08/17,697,
+07DA001,1,1963/08/18,716,
+07DA001,1,1963/08/19,765,
+07DA001,1,1963/08/20,807,
+07DA001,1,1963/08/21,804,
+07DA001,1,1963/08/22,784,
+07DA001,1,1963/08/23,728,
+07DA001,1,1963/08/24,682,
+07DA001,1,1963/08/25,648,
+07DA001,1,1963/08/26,626,
+07DA001,1,1963/08/27,612,
+07DA001,1,1963/08/28,595,
+07DA001,1,1963/08/29,583,
+07DA001,1,1963/08/30,569,
+07DA001,1,1963/08/31,561,
+07DA001,1,1963/09/01,561,
+07DA001,1,1963/09/02,558,
+07DA001,1,1963/09/03,566,
+07DA001,1,1963/09/04,561,
+07DA001,1,1963/09/05,555,
+07DA001,1,1963/09/06,555,
+07DA001,1,1963/09/07,555,
+07DA001,1,1963/09/08,552,
+07DA001,1,1963/09/09,558,
+07DA001,1,1963/09/10,572,
+07DA001,1,1963/09/11,583,
+07DA001,1,1963/09/12,592,
+07DA001,1,1963/09/13,606,
+07DA001,1,1963/09/14,606,
+07DA001,1,1963/09/15,620,
+07DA001,1,1963/09/16,629,
+07DA001,1,1963/09/17,651,
+07DA001,1,1963/09/18,640,
+07DA001,1,1963/09/19,634,
+07DA001,1,1963/09/20,660,
+07DA001,1,1963/09/21,671,
+07DA001,1,1963/09/22,651,
+07DA001,1,1963/09/23,634,
+07DA001,1,1963/09/24,609,
+07DA001,1,1963/09/25,583,
+07DA001,1,1963/09/26,561,
+07DA001,1,1963/09/27,544,
+07DA001,1,1963/09/28,527,
+07DA001,1,1963/09/29,518,
+07DA001,1,1963/09/30,521,
+07DA001,1,1963/10/01,535,
+07DA001,1,1963/10/02,521,
+07DA001,1,1963/10/03,507,
+07DA001,1,1963/10/04,504,
+07DA001,1,1963/10/05,504,
+07DA001,1,1963/10/06,498,
+07DA001,1,1963/10/07,498,
+07DA001,1,1963/10/08,510,
+07DA001,1,1963/10/09,498,
+07DA001,1,1963/10/10,490,
+07DA001,1,1963/10/11,493,
+07DA001,1,1963/10/12,487,
+07DA001,1,1963/10/13,470,
+07DA001,1,1963/10/14,462,
+07DA001,1,1963/10/15,447,
+07DA001,1,1963/10/16,439,
+07DA001,1,1963/10/17,430,
+07DA001,1,1963/10/18,425,
+07DA001,1,1963/10/19,419,
+07DA001,1,1963/10/20,416,
+07DA001,1,1963/10/21,416,
+07DA001,1,1963/10/22,419,
+07DA001,1,1963/10/23,428,
+07DA001,1,1963/10/24,428,
+07DA001,1,1963/10/25,422,
+07DA001,1,1963/10/26,425,
+07DA001,1,1963/10/27,422,
+07DA001,1,1963/10/28,413,
+07DA001,1,1963/10/29,405,
+07DA001,1,1963/10/30,405,
+07DA001,1,1963/10/31,416,
+07DA001,1,1963/11/01,408,
+07DA001,1,1963/11/02,402,
+07DA001,1,1963/11/03,399,
+07DA001,1,1963/11/04,399,
+07DA001,1,1963/11/05,396,
+07DA001,1,1963/11/06,391,
+07DA001,1,1963/11/07,382,
+07DA001,1,1963/11/08,385,
+07DA001,1,1963/11/09,385,
+07DA001,1,1963/11/10,377,
+07DA001,1,1963/11/11,360,
+07DA001,1,1963/11/12,340,
+07DA001,1,1963/11/13,331,
+07DA001,1,1963/11/14,326,
+07DA001,1,1963/11/15,306,
+07DA001,1,1963/11/16,283,B
+07DA001,1,1963/11/17,243,B
+07DA001,1,1963/11/18,247,B
+07DA001,1,1963/11/19,210,B
+07DA001,1,1963/11/20,207,B
+07DA001,1,1963/11/21,195,B
+07DA001,1,1963/11/22,212,B
+07DA001,1,1963/11/23,200,B
+07DA001,1,1963/11/24,196,B
+07DA001,1,1963/11/25,186,B
+07DA001,1,1963/11/26,183,B
+07DA001,1,1963/11/27,185,B
+07DA001,1,1963/11/28,192,B
+07DA001,1,1963/11/29,177,B
+07DA001,1,1963/11/30,175,B
+07DA001,1,1964/03/01,117,B
+07DA001,1,1964/03/02,117,B
+07DA001,1,1964/03/03,120,B
+07DA001,1,1964/03/04,121,B
+07DA001,1,1964/03/05,122,B
+07DA001,1,1964/03/06,122,B
+07DA001,1,1964/03/07,123,B
+07DA001,1,1964/03/08,121,B
+07DA001,1,1964/03/09,120,B
+07DA001,1,1964/03/10,120,B
+07DA001,1,1964/03/11,121,B
+07DA001,1,1964/03/12,122,B
+07DA001,1,1964/03/13,123,B
+07DA001,1,1964/03/14,124,B
+07DA001,1,1964/03/15,126,B
+07DA001,1,1964/03/16,127,B
+07DA001,1,1964/03/17,129,B
+07DA001,1,1964/03/18,129,B
+07DA001,1,1964/03/19,128,B
+07DA001,1,1964/03/20,128,B
+07DA001,1,1964/03/21,128,B
+07DA001,1,1964/03/22,129,B
+07DA001,1,1964/03/23,128,B
+07DA001,1,1964/03/24,126,B
+07DA001,1,1964/03/25,128,B
+07DA001,1,1964/03/26,130,B
+07DA001,1,1964/03/27,131,B
+07DA001,1,1964/03/28,132,B
+07DA001,1,1964/03/29,133,B
+07DA001,1,1964/03/30,133,B
+07DA001,1,1964/03/31,132,B
+07DA001,1,1964/04/01,131,B
+07DA001,1,1964/04/02,133,B
+07DA001,1,1964/04/03,133,B
+07DA001,1,1964/04/04,136,B
+07DA001,1,1964/04/05,133,B
+07DA001,1,1964/04/06,136,B
+07DA001,1,1964/04/07,143,
+07DA001,1,1964/04/08,153,B
+07DA001,1,1964/04/09,172,B
+07DA001,1,1964/04/10,194,B
+07DA001,1,1964/04/11,214,B
+07DA001,1,1964/04/12,217,B
+07DA001,1,1964/04/13,229,B
+07DA001,1,1964/04/14,228,B
+07DA001,1,1964/04/15,233,B
+07DA001,1,1964/04/16,218,B
+07DA001,1,1964/04/17,218,B
+07DA001,1,1964/04/18,221,B
+07DA001,1,1964/04/19,224,B
+07DA001,1,1964/04/20,229,B
+07DA001,1,1964/04/21,238,B
+07DA001,1,1964/04/22,242,B
+07DA001,1,1964/04/23,240,B
+07DA001,1,1964/04/24,283,B
+07DA001,1,1964/04/25,283,B
+07DA001,1,1964/04/26,283,B
+07DA001,1,1964/04/27,283,B
+07DA001,1,1964/04/28,283,E
+07DA001,1,1964/04/29,283,E
+07DA001,1,1964/04/30,283,E
+07DA001,1,1964/05/01,566,E
+07DA001,1,1964/05/02,566,E
+07DA001,1,1964/05/03,566,E
+07DA001,1,1964/05/04,566,E
+07DA001,1,1964/05/05,566,E
+07DA001,1,1964/05/06,566,E
+07DA001,1,1964/05/07,651,
+07DA001,1,1964/05/08,801,
+07DA001,1,1964/05/09,920,
+07DA001,1,1964/05/10,1000,
+07DA001,1,1964/05/11,1440,
+07DA001,1,1964/05/12,1420,
+07DA001,1,1964/05/13,1330,
+07DA001,1,1964/05/14,1290,
+07DA001,1,1964/05/15,1220,
+07DA001,1,1964/05/16,1140,
+07DA001,1,1964/05/17,1080,
+07DA001,1,1964/05/18,1050,
+07DA001,1,1964/05/19,1040,
+07DA001,1,1964/05/20,994,
+07DA001,1,1964/05/21,954,
+07DA001,1,1964/05/22,917,
+07DA001,1,1964/05/23,915,
+07DA001,1,1964/05/24,920,
+07DA001,1,1964/05/25,960,
+07DA001,1,1964/05/26,1040,
+07DA001,1,1964/05/27,1100,
+07DA001,1,1964/05/28,1100,
+07DA001,1,1964/05/29,1050,
+07DA001,1,1964/05/30,985,
+07DA001,1,1964/05/31,932,
+07DA001,1,1964/06/01,872,
+07DA001,1,1964/06/02,818,
+07DA001,1,1964/06/03,782,
+07DA001,1,1964/06/04,776,
+07DA001,1,1964/06/05,776,
+07DA001,1,1964/06/06,793,
+07DA001,1,1964/06/07,841,
+07DA001,1,1964/06/08,926,
+07DA001,1,1964/06/09,974,
+07DA001,1,1964/06/10,988,
+07DA001,1,1964/06/11,1010,
+07DA001,1,1964/06/12,1060,
+07DA001,1,1964/06/13,1140,
+07DA001,1,1964/06/14,1260,
+07DA001,1,1964/06/15,1210,
+07DA001,1,1964/06/16,1180,
+07DA001,1,1964/06/17,1240,
+07DA001,1,1964/06/18,1370,
+07DA001,1,1964/06/19,1410,
+07DA001,1,1964/06/20,1460,
+07DA001,1,1964/06/21,1420,
+07DA001,1,1964/06/22,1370,
+07DA001,1,1964/06/23,1530,
+07DA001,1,1964/06/24,1630,
+07DA001,1,1964/06/25,1490,
+07DA001,1,1964/06/26,1340,
+07DA001,1,1964/06/27,1240,
+07DA001,1,1964/06/28,1180,
+07DA001,1,1964/06/29,1130,
+07DA001,1,1964/06/30,1100,
+07DA001,1,1964/07/01,1050,
+07DA001,1,1964/07/02,1020,
+07DA001,1,1964/07/03,1070,
+07DA001,1,1964/07/04,1080,
+07DA001,1,1964/07/05,997,
+07DA001,1,1964/07/06,926,
+07DA001,1,1964/07/07,878,
+07DA001,1,1964/07/08,875,
+07DA001,1,1964/07/09,895,
+07DA001,1,1964/07/10,954,
+07DA001,1,1964/07/11,983,
+07DA001,1,1964/07/12,957,
+07DA001,1,1964/07/13,968,
+07DA001,1,1964/07/14,1060,
+07DA001,1,1964/07/15,1120,
+07DA001,1,1964/07/16,1070,
+07DA001,1,1964/07/17,997,
+07DA001,1,1964/07/18,1030,
+07DA001,1,1964/07/19,1210,
+07DA001,1,1964/07/20,1350,
+07DA001,1,1964/07/21,1500,
+07DA001,1,1964/07/22,1390,
+07DA001,1,1964/07/23,1280,
+07DA001,1,1964/07/24,1220,
+07DA001,1,1964/07/25,1140,
+07DA001,1,1964/07/26,1070,
+07DA001,1,1964/07/27,1010,
+07DA001,1,1964/07/28,980,
+07DA001,1,1964/07/29,920,
+07DA001,1,1964/07/30,855,
+07DA001,1,1964/07/31,821,
+07DA001,1,1964/08/01,807,
+07DA001,1,1964/08/02,824,
+07DA001,1,1964/08/03,855,
+07DA001,1,1964/08/04,997,
+07DA001,1,1964/08/05,1520,
+07DA001,1,1964/08/06,1600,
+07DA001,1,1964/08/07,1500,
+07DA001,1,1964/08/08,1380,
+07DA001,1,1964/08/09,1300,
+07DA001,1,1964/08/10,1370,
+07DA001,1,1964/08/11,1280,
+07DA001,1,1964/08/12,1160,
+07DA001,1,1964/08/13,1100,
+07DA001,1,1964/08/14,1090,
+07DA001,1,1964/08/15,1050,
+07DA001,1,1964/08/16,991,
+07DA001,1,1964/08/17,940,
+07DA001,1,1964/08/18,900,
+07DA001,1,1964/08/19,886,
+07DA001,1,1964/08/20,869,
+07DA001,1,1964/08/21,833,
+07DA001,1,1964/08/22,801,
+07DA001,1,1964/08/23,799,
+07DA001,1,1964/08/24,818,
+07DA001,1,1964/08/25,824,
+07DA001,1,1964/08/26,790,
+07DA001,1,1964/08/27,753,
+07DA001,1,1964/08/28,722,
+07DA001,1,1964/08/29,708,
+07DA001,1,1964/08/30,699,
+07DA001,1,1964/08/31,691,
+07DA001,1,1964/09/01,691,
+07DA001,1,1964/09/02,714,
+07DA001,1,1964/09/03,722,
+07DA001,1,1964/09/04,739,
+07DA001,1,1964/09/05,779,
+07DA001,1,1964/09/06,867,
+07DA001,1,1964/09/07,906,
+07DA001,1,1964/09/08,881,
+07DA001,1,1964/09/09,892,
+07DA001,1,1964/09/10,898,
+07DA001,1,1964/09/11,881,
+07DA001,1,1964/09/12,864,
+07DA001,1,1964/09/13,850,
+07DA001,1,1964/09/14,855,
+07DA001,1,1964/09/15,881,
+07DA001,1,1964/09/16,852,
+07DA001,1,1964/09/17,816,
+07DA001,1,1964/09/18,793,
+07DA001,1,1964/09/19,770,
+07DA001,1,1964/09/20,756,
+07DA001,1,1964/09/21,742,
+07DA001,1,1964/09/22,739,
+07DA001,1,1964/09/23,900,
+07DA001,1,1964/09/24,1000,
+07DA001,1,1964/09/25,937,
+07DA001,1,1964/09/26,881,
+07DA001,1,1964/09/27,850,
+07DA001,1,1964/09/28,804,
+07DA001,1,1964/09/29,784,
+07DA001,1,1964/09/30,1010,
+07DA001,1,1964/10/01,1230,
+07DA001,1,1964/10/02,1230,
+07DA001,1,1964/10/03,1240,
+07DA001,1,1964/10/04,1170,
+07DA001,1,1964/10/05,1130,
+07DA001,1,1964/10/06,991,E
+07DA001,1,1964/10/07,991,E
+07DA001,1,1964/10/08,991,E
+07DA001,1,1964/10/09,991,E
+07DA001,1,1964/10/10,991,E
+07DA001,1,1964/10/11,991,E
+07DA001,1,1964/10/12,991,E
+07DA001,1,1964/10/13,991,E
+07DA001,1,1964/10/14,850,E
+07DA001,1,1964/10/15,850,E
+07DA001,1,1964/10/16,850,E
+07DA001,1,1964/10/17,850,E
+07DA001,1,1964/10/18,850,E
+07DA001,1,1964/10/19,850,E
+07DA001,1,1964/10/20,850,E
+07DA001,1,1964/10/21,697,
+07DA001,1,1964/10/22,699,
+07DA001,1,1964/10/23,677,
+07DA001,1,1964/10/24,651,
+07DA001,1,1964/10/25,634,
+07DA001,1,1964/10/26,614,
+07DA001,1,1964/10/27,606,
+07DA001,1,1964/10/28,595,
+07DA001,1,1964/10/29,586,
+07DA001,1,1964/10/30,578,
+07DA001,1,1964/10/31,566,
+07DA001,1,1964/11/01,561,
+07DA001,1,1964/11/02,544,
+07DA001,1,1964/11/03,521,
+07DA001,1,1964/11/04,510,
+07DA001,1,1964/11/05,513,
+07DA001,1,1964/11/06,521,
+07DA001,1,1964/11/07,524,
+07DA001,1,1964/11/08,504,
+07DA001,1,1964/11/09,498,
+07DA001,1,1964/11/10,476,
+07DA001,1,1964/11/11,442,
+07DA001,1,1964/11/12,493,
+07DA001,1,1964/11/13,507,
+07DA001,1,1964/11/14,476,
+07DA001,1,1964/11/15,450,
+07DA001,1,1964/11/16,416,
+07DA001,1,1964/11/17,365,
+07DA001,1,1964/11/18,326,B
+07DA001,1,1964/11/19,237,B
+07DA001,1,1964/11/20,166,B
+07DA001,1,1964/11/21,250,B
+07DA001,1,1964/11/22,218,B
+07DA001,1,1964/11/23,195,B
+07DA001,1,1964/11/24,179,B
+07DA001,1,1964/11/25,165,B
+07DA001,1,1964/11/26,156,B
+07DA001,1,1964/11/27,141,B
+07DA001,1,1964/11/28,120,B
+07DA001,1,1964/11/29,163,B
+07DA001,1,1964/11/30,182,B
+07DA001,1,1964/12/01,163,B
+07DA001,1,1964/12/02,140,B
+07DA001,1,1964/12/03,126,B
+07DA001,1,1964/12/04,126,B
+07DA001,1,1964/12/05,128,B
+07DA001,1,1964/12/06,156,B
+07DA001,1,1964/12/07,166,B
+07DA001,1,1964/12/08,165,B
+07DA001,1,1964/12/09,170,B
+07DA001,1,1964/12/10,166,B
+07DA001,1,1964/12/11,155,B
+07DA001,1,1964/12/12,142,B
+07DA001,1,1964/12/13,135,B
+07DA001,1,1964/12/14,144,B
+07DA001,1,1964/12/15,178,B
+07DA001,1,1964/12/16,196,B
+07DA001,1,1964/12/17,208,B
+07DA001,1,1964/12/18,221,B
+07DA001,1,1964/12/19,219,B
+07DA001,1,1964/12/20,204,B
+07DA001,1,1964/12/21,191,B
+07DA001,1,1964/12/22,191,B
+07DA001,1,1964/12/23,188,B
+07DA001,1,1964/12/24,186,B
+07DA001,1,1964/12/25,184,B
+07DA001,1,1964/12/26,183,B
+07DA001,1,1964/12/27,193,B
+07DA001,1,1964/12/28,196,B
+07DA001,1,1964/12/29,198,B
+07DA001,1,1964/12/30,210,B
+07DA001,1,1964/12/31,208,B
+07DA001,1,1965/01/01,207,B
+07DA001,1,1965/01/02,205,B
+07DA001,1,1965/01/03,205,B
+07DA001,1,1965/01/04,208,B
+07DA001,1,1965/01/05,212,B
+07DA001,1,1965/01/06,213,B
+07DA001,1,1965/01/07,218,B
+07DA001,1,1965/01/08,219,B
+07DA001,1,1965/01/09,219,B
+07DA001,1,1965/01/10,217,B
+07DA001,1,1965/01/11,214,B
+07DA001,1,1965/01/12,214,B
+07DA001,1,1965/01/13,210,B
+07DA001,1,1965/01/14,208,B
+07DA001,1,1965/01/15,206,B
+07DA001,1,1965/01/16,203,B
+07DA001,1,1965/01/17,202,B
+07DA001,1,1965/01/18,201,B
+07DA001,1,1965/01/19,199,B
+07DA001,1,1965/01/20,198,B
+07DA001,1,1965/01/21,198,B
+07DA001,1,1965/01/22,201,B
+07DA001,1,1965/01/23,202,B
+07DA001,1,1965/01/24,202,B
+07DA001,1,1965/01/25,204,B
+07DA001,1,1965/01/26,208,B
+07DA001,1,1965/01/27,211,B
+07DA001,1,1965/01/28,207,B
+07DA001,1,1965/01/29,200,B
+07DA001,1,1965/01/30,197,B
+07DA001,1,1965/01/31,194,B
+07DA001,1,1965/02/01,191,B
+07DA001,1,1965/02/02,189,B
+07DA001,1,1965/02/03,188,B
+07DA001,1,1965/02/04,185,B
+07DA001,1,1965/02/05,183,B
+07DA001,1,1965/02/06,180,B
+07DA001,1,1965/02/07,180,B
+07DA001,1,1965/02/08,178,B
+07DA001,1,1965/02/09,175,B
+07DA001,1,1965/02/10,175,B
+07DA001,1,1965/02/11,174,B
+07DA001,1,1965/02/12,173,B
+07DA001,1,1965/02/13,171,B
+07DA001,1,1965/02/14,170,B
+07DA001,1,1965/02/15,167,B
+07DA001,1,1965/02/16,167,B
+07DA001,1,1965/02/17,167,B
+07DA001,1,1965/02/18,169,B
+07DA001,1,1965/02/19,171,B
+07DA001,1,1965/02/20,174,B
+07DA001,1,1965/02/21,174,B
+07DA001,1,1965/02/22,174,B
+07DA001,1,1965/02/23,172,B
+07DA001,1,1965/02/24,171,B
+07DA001,1,1965/02/25,168,B
+07DA001,1,1965/02/26,167,B
+07DA001,1,1965/02/27,166,B
+07DA001,1,1965/02/28,166,B
+07DA001,1,1965/03/01,167,B
+07DA001,1,1965/03/02,173,B
+07DA001,1,1965/03/03,180,B
+07DA001,1,1965/03/04,177,B
+07DA001,1,1965/03/05,172,B
+07DA001,1,1965/03/06,167,B
+07DA001,1,1965/03/07,168,B
+07DA001,1,1965/03/08,169,B
+07DA001,1,1965/03/09,171,B
+07DA001,1,1965/03/10,172,B
+07DA001,1,1965/03/11,174,B
+07DA001,1,1965/03/12,173,B
+07DA001,1,1965/03/13,175,B
+07DA001,1,1965/03/14,178,B
+07DA001,1,1965/03/15,182,B
+07DA001,1,1965/03/16,185,B
+07DA001,1,1965/03/17,189,B
+07DA001,1,1965/03/18,193,B
+07DA001,1,1965/03/19,188,B
+07DA001,1,1965/03/20,189,B
+07DA001,1,1965/03/21,196,B
+07DA001,1,1965/03/22,197,B
+07DA001,1,1965/03/23,193,B
+07DA001,1,1965/03/24,192,B
+07DA001,1,1965/03/25,191,B
+07DA001,1,1965/03/26,191,B
+07DA001,1,1965/03/27,190,B
+07DA001,1,1965/03/28,190,B
+07DA001,1,1965/03/29,190,B
+07DA001,1,1965/03/30,190,B
+07DA001,1,1965/03/31,190,B
+07DA001,1,1965/04/01,176,B
+07DA001,1,1965/04/02,176,B
+07DA001,1,1965/04/03,176,B
+07DA001,1,1965/04/04,176,B
+07DA001,1,1965/04/05,176,B
+07DA001,1,1965/04/06,176,B
+07DA001,1,1965/04/07,164,B
+07DA001,1,1965/04/08,194,B
+07DA001,1,1965/04/09,194,B
+07DA001,1,1965/04/10,194,B
+07DA001,1,1965/04/11,194,B
+07DA001,1,1965/04/12,194,B
+07DA001,1,1965/04/13,194,B
+07DA001,1,1965/04/14,194,B
+07DA001,1,1965/04/15,194,B
+07DA001,1,1965/04/16,643,B
+07DA001,1,1965/04/17,643,B
+07DA001,1,1965/04/18,643,B
+07DA001,1,1965/04/19,643,B
+07DA001,1,1965/04/20,643,B
+07DA001,1,1965/04/21,643,B
+07DA001,1,1965/04/22,643,B
+07DA001,1,1965/04/23,643,B
+07DA001,1,1965/04/24,643,B
+07DA001,1,1965/04/25,643,B
+07DA001,1,1965/04/26,643,B
+07DA001,1,1965/04/27,643,B
+07DA001,1,1965/04/28,643,B
+07DA001,1,1965/04/29,643,B
+07DA001,1,1965/04/30,643,B
+07DA001,1,1965/05/01,2740,
+07DA001,1,1965/05/02,2680,
+07DA001,1,1965/05/03,2510,
+07DA001,1,1965/05/04,2380,
+07DA001,1,1965/05/05,2250,
+07DA001,1,1965/05/06,2120,
+07DA001,1,1965/05/07,2000,
+07DA001,1,1965/05/08,1900,
+07DA001,1,1965/05/09,1770,
+07DA001,1,1965/05/10,1660,
+07DA001,1,1965/05/11,1550,
+07DA001,1,1965/05/12,1470,
+07DA001,1,1965/05/13,1440,
+07DA001,1,1965/05/14,1440,
+07DA001,1,1965/05/15,1430,
+07DA001,1,1965/05/16,1410,
+07DA001,1,1965/05/17,1400,
+07DA001,1,1965/05/18,1380,
+07DA001,1,1965/05/19,1370,
+07DA001,1,1965/05/20,1380,
+07DA001,1,1965/05/21,1390,
+07DA001,1,1965/05/22,1380,
+07DA001,1,1965/05/23,1350,
+07DA001,1,1965/05/24,1290,
+07DA001,1,1965/05/25,1240,
+07DA001,1,1965/05/26,1210,
+07DA001,1,1965/05/27,1180,
+07DA001,1,1965/05/28,1160,
+07DA001,1,1965/05/29,1150,
+07DA001,1,1965/05/30,1210,
+07DA001,1,1965/05/31,1310,
+07DA001,1,1965/06/01,1350,
+07DA001,1,1965/06/02,1440,
+07DA001,1,1965/06/03,1750,
+07DA001,1,1965/06/04,2570,
+07DA001,1,1965/06/05,2730,
+07DA001,1,1965/06/06,2420,
+07DA001,1,1965/06/07,2280,
+07DA001,1,1965/06/08,2180,
+07DA001,1,1965/06/09,2010,
+07DA001,1,1965/06/10,1900,
+07DA001,1,1965/06/11,1820,
+07DA001,1,1965/06/12,1700,
+07DA001,1,1965/06/13,1580,
+07DA001,1,1965/06/14,1570,
+07DA001,1,1965/06/15,1680,
+07DA001,1,1965/06/16,1810,
+07DA001,1,1965/06/17,1850,
+07DA001,1,1965/06/18,1790,
+07DA001,1,1965/06/19,1670,
+07DA001,1,1965/06/20,1590,
+07DA001,1,1965/06/21,1560,
+07DA001,1,1965/06/22,1560,
+07DA001,1,1965/06/23,1610,
+07DA001,1,1965/06/24,1650,
+07DA001,1,1965/06/25,1560,
+07DA001,1,1965/06/26,1460,
+07DA001,1,1965/06/27,1410,
+07DA001,1,1965/06/28,1380,
+07DA001,1,1965/06/29,1380,
+07DA001,1,1965/06/30,1520,
+07DA001,1,1965/07/01,3000,
+07DA001,1,1965/07/02,3850,
+07DA001,1,1965/07/03,3400,
+07DA001,1,1965/07/04,2860,
+07DA001,1,1965/07/05,2590,
+07DA001,1,1965/07/06,2420,
+07DA001,1,1965/07/07,2320,
+07DA001,1,1965/07/08,2240,
+07DA001,1,1965/07/09,2110,
+07DA001,1,1965/07/10,1980,
+07DA001,1,1965/07/11,1910,
+07DA001,1,1965/07/12,2270,
+07DA001,1,1965/07/13,3140,
+07DA001,1,1965/07/14,3260,
+07DA001,1,1965/07/15,3200,
+07DA001,1,1965/07/16,3170,
+07DA001,1,1965/07/17,2830,
+07DA001,1,1965/07/18,2510,
+07DA001,1,1965/07/19,2310,
+07DA001,1,1965/07/20,2160,
+07DA001,1,1965/07/21,2060,
+07DA001,1,1965/07/22,1950,
+07DA001,1,1965/07/23,1830,
+07DA001,1,1965/07/24,1710,
+07DA001,1,1965/07/25,1590,
+07DA001,1,1965/07/26,1490,
+07DA001,1,1965/07/27,1440,
+07DA001,1,1965/07/28,1400,
+07DA001,1,1965/07/29,1350,
+07DA001,1,1965/07/30,1310,
+07DA001,1,1965/07/31,1310,
+07DA001,1,1965/08/01,1320,
+07DA001,1,1965/08/02,1320,
+07DA001,1,1965/08/03,1290,
+07DA001,1,1965/08/04,1260,
+07DA001,1,1965/08/05,1190,
+07DA001,1,1965/08/06,1150,
+07DA001,1,1965/08/07,1110,
+07DA001,1,1965/08/08,1100,
+07DA001,1,1965/08/09,1080,
+07DA001,1,1965/08/10,1060,
+07DA001,1,1965/08/11,1030,
+07DA001,1,1965/08/12,991,
+07DA001,1,1965/08/13,988,
+07DA001,1,1965/08/14,1100,
+07DA001,1,1965/08/15,1150,
+07DA001,1,1965/08/16,1140,
+07DA001,1,1965/08/17,1190,
+07DA001,1,1965/08/18,1360,
+07DA001,1,1965/08/19,1340,
+07DA001,1,1965/08/20,1230,
+07DA001,1,1965/08/21,1140,
+07DA001,1,1965/08/22,1060,
+07DA001,1,1965/08/23,1030,
+07DA001,1,1965/08/24,1020,
+07DA001,1,1965/08/25,1020,
+07DA001,1,1965/08/26,1030,
+07DA001,1,1965/08/27,1080,
+07DA001,1,1965/08/28,1210,
+07DA001,1,1965/08/29,1270,
+07DA001,1,1965/08/30,1320,
+07DA001,1,1965/08/31,1410,
+07DA001,1,1965/09/01,1530,
+07DA001,1,1965/09/02,1530,
+07DA001,1,1965/09/03,1470,
+07DA001,1,1965/09/04,1400,
+07DA001,1,1965/09/05,1330,
+07DA001,1,1965/09/06,1260,
+07DA001,1,1965/09/07,1250,
+07DA001,1,1965/09/08,1310,
+07DA001,1,1965/09/09,1340,
+07DA001,1,1965/09/10,1310,
+07DA001,1,1965/09/11,1250,
+07DA001,1,1965/09/12,1190,
+07DA001,1,1965/09/13,1150,
+07DA001,1,1965/09/14,1120,
+07DA001,1,1965/09/15,1110,
+07DA001,1,1965/09/16,1100,
+07DA001,1,1965/09/17,1070,
+07DA001,1,1965/09/18,1040,
+07DA001,1,1965/09/19,1020,
+07DA001,1,1965/09/20,1010,
+07DA001,1,1965/09/21,1010,
+07DA001,1,1965/09/22,994,
+07DA001,1,1965/09/23,991,
+07DA001,1,1965/09/24,1020,
+07DA001,1,1965/09/25,1080,
+07DA001,1,1965/09/26,1160,
+07DA001,1,1965/09/27,1240,
+07DA001,1,1965/09/28,1240,
+07DA001,1,1965/09/29,1190,
+07DA001,1,1965/09/30,1150,
+07DA001,1,1965/10/01,1120,
+07DA001,1,1965/10/02,1090,
+07DA001,1,1965/10/03,1060,
+07DA001,1,1965/10/04,1030,
+07DA001,1,1965/10/05,1010,
+07DA001,1,1965/10/06,988,
+07DA001,1,1965/10/07,971,
+07DA001,1,1965/10/08,957,
+07DA001,1,1965/10/09,946,
+07DA001,1,1965/10/10,926,
+07DA001,1,1965/10/11,906,
+07DA001,1,1965/10/12,892,
+07DA001,1,1965/10/13,886,
+07DA001,1,1965/10/14,872,
+07DA001,1,1965/10/15,869,
+07DA001,1,1965/10/16,889,
+07DA001,1,1965/10/17,855,
+07DA001,1,1965/10/18,818,
+07DA001,1,1965/10/19,799,
+07DA001,1,1965/10/20,779,
+07DA001,1,1965/10/21,765,
+07DA001,1,1965/10/22,756,
+07DA001,1,1965/10/23,733,
+07DA001,1,1965/10/24,719,
+07DA001,1,1965/10/25,702,
+07DA001,1,1965/10/26,699,
+07DA001,1,1965/10/27,694,
+07DA001,1,1965/10/28,682,
+07DA001,1,1965/10/29,685,
+07DA001,1,1965/10/30,691,
+07DA001,1,1965/10/31,677,
+07DA001,1,1965/11/01,668,
+07DA001,1,1965/11/02,668,
+07DA001,1,1965/11/03,617,
+07DA001,1,1965/11/04,600,
+07DA001,1,1965/11/05,651,
+07DA001,1,1965/11/06,634,
+07DA001,1,1965/11/07,566,
+07DA001,1,1965/11/08,535,
+07DA001,1,1965/11/09,535,B
+07DA001,1,1965/11/10,541,B
+07DA001,1,1965/11/11,510,B
+07DA001,1,1965/11/12,498,B
+07DA001,1,1965/11/13,442,B
+07DA001,1,1965/11/14,425,B
+07DA001,1,1965/11/15,408,B
+07DA001,1,1965/11/16,405,B
+07DA001,1,1965/11/17,328,B
+07DA001,1,1965/11/18,362,B
+07DA001,1,1965/11/19,320,B
+07DA001,1,1965/11/20,263,B
+07DA001,1,1965/11/21,292,B
+07DA001,1,1965/11/22,292,B
+07DA001,1,1965/11/23,278,B
+07DA001,1,1965/11/24,246,B
+07DA001,1,1965/11/25,262,B
+07DA001,1,1965/11/26,254,B
+07DA001,1,1965/11/27,251,B
+07DA001,1,1965/11/28,254,B
+07DA001,1,1965/11/29,261,B
+07DA001,1,1965/11/30,266,B
+07DA001,1,1965/12/01,268,B
+07DA001,1,1965/12/02,279,B
+07DA001,1,1965/12/03,292,B
+07DA001,1,1965/12/04,300,B
+07DA001,1,1965/12/05,323,B
+07DA001,1,1965/12/06,314,B
+07DA001,1,1965/12/07,306,B
+07DA001,1,1965/12/08,303,B
+07DA001,1,1965/12/09,300,B
+07DA001,1,1965/12/10,300,B
+07DA001,1,1965/12/11,306,B
+07DA001,1,1965/12/12,334,B
+07DA001,1,1965/12/13,328,B
+07DA001,1,1965/12/14,320,B
+07DA001,1,1965/12/15,306,B
+07DA001,1,1965/12/16,311,B
+07DA001,1,1965/12/17,306,B
+07DA001,1,1965/12/18,289,B
+07DA001,1,1965/12/19,280,B
+07DA001,1,1965/12/20,277,B
+07DA001,1,1965/12/21,266,B
+07DA001,1,1965/12/22,255,B
+07DA001,1,1965/12/23,241,B
+07DA001,1,1965/12/24,232,B
+07DA001,1,1965/12/25,215,B
+07DA001,1,1965/12/26,208,B
+07DA001,1,1965/12/27,204,B
+07DA001,1,1965/12/28,197,B
+07DA001,1,1965/12/29,187,B
+07DA001,1,1965/12/30,182,B
+07DA001,1,1965/12/31,186,B
+07DA001,1,1966/01/01,187,B
+07DA001,1,1966/01/02,191,B
+07DA001,1,1966/01/03,179,B
+07DA001,1,1966/01/04,179,B
+07DA001,1,1966/01/05,182,B
+07DA001,1,1966/01/06,185,B
+07DA001,1,1966/01/07,189,B
+07DA001,1,1966/01/08,191,B
+07DA001,1,1966/01/09,200,B
+07DA001,1,1966/01/10,209,B
+07DA001,1,1966/01/11,212,B
+07DA001,1,1966/01/12,218,B
+07DA001,1,1966/01/13,224,B
+07DA001,1,1966/01/14,224,B
+07DA001,1,1966/01/15,226,B
+07DA001,1,1966/01/16,227,B
+07DA001,1,1966/01/17,229,B
+07DA001,1,1966/01/18,229,B
+07DA001,1,1966/01/19,229,B
+07DA001,1,1966/01/20,229,B
+07DA001,1,1966/01/21,229,B
+07DA001,1,1966/01/22,229,B
+07DA001,1,1966/01/23,229,B
+07DA001,1,1966/01/24,229,B
+07DA001,1,1966/01/25,229,B
+07DA001,1,1966/01/26,229,B
+07DA001,1,1966/01/27,229,B
+07DA001,1,1966/01/28,229,B
+07DA001,1,1966/01/29,226,B
+07DA001,1,1966/01/30,226,B
+07DA001,1,1966/01/31,221,B
+07DA001,1,1966/02/01,217,B
+07DA001,1,1966/02/02,214,B
+07DA001,1,1966/02/03,210,B
+07DA001,1,1966/02/04,210,B
+07DA001,1,1966/02/05,210,B
+07DA001,1,1966/02/06,209,B
+07DA001,1,1966/02/07,208,B
+07DA001,1,1966/02/08,208,B
+07DA001,1,1966/02/09,208,B
+07DA001,1,1966/02/10,209,B
+07DA001,1,1966/02/11,212,B
+07DA001,1,1966/02/12,214,B
+07DA001,1,1966/02/13,212,B
+07DA001,1,1966/02/14,211,B
+07DA001,1,1966/02/15,211,B
+07DA001,1,1966/02/16,211,B
+07DA001,1,1966/02/17,211,B
+07DA001,1,1966/02/18,209,B
+07DA001,1,1966/02/19,208,B
+07DA001,1,1966/02/20,208,B
+07DA001,1,1966/02/21,208,B
+07DA001,1,1966/02/22,207,B
+07DA001,1,1966/02/23,206,B
+07DA001,1,1966/02/24,204,B
+07DA001,1,1966/02/25,203,B
+07DA001,1,1966/02/26,201,B
+07DA001,1,1966/02/27,200,B
+07DA001,1,1966/02/28,197,B
+07DA001,1,1966/03/01,197,B
+07DA001,1,1966/03/02,197,B
+07DA001,1,1966/03/03,197,B
+07DA001,1,1966/03/04,200,B
+07DA001,1,1966/03/05,202,B
+07DA001,1,1966/03/06,203,B
+07DA001,1,1966/03/07,207,B
+07DA001,1,1966/03/08,208,B
+07DA001,1,1966/03/09,204,B
+07DA001,1,1966/03/10,202,B
+07DA001,1,1966/03/11,201,B
+07DA001,1,1966/03/12,200,B
+07DA001,1,1966/03/13,200,B
+07DA001,1,1966/03/14,199,B
+07DA001,1,1966/03/15,197,B
+07DA001,1,1966/03/16,197,B
+07DA001,1,1966/03/17,197,B
+07DA001,1,1966/03/18,197,B
+07DA001,1,1966/03/19,199,B
+07DA001,1,1966/03/20,202,B
+07DA001,1,1966/03/21,206,B
+07DA001,1,1966/03/22,207,B
+07DA001,1,1966/03/23,209,B
+07DA001,1,1966/03/24,211,B
+07DA001,1,1966/03/25,211,B
+07DA001,1,1966/03/26,215,B
+07DA001,1,1966/03/27,217,B
+07DA001,1,1966/03/28,218,B
+07DA001,1,1966/03/29,218,B
+07DA001,1,1966/03/30,225,B
+07DA001,1,1966/03/31,247,B
+07DA001,1,1966/04/01,264,B
+07DA001,1,1966/04/02,286,B
+07DA001,1,1966/04/03,303,B
+07DA001,1,1966/04/04,328,B
+07DA001,1,1966/04/05,354,B
+07DA001,1,1966/04/06,368,B
+07DA001,1,1966/04/07,351,B
+07DA001,1,1966/04/08,362,B
+07DA001,1,1966/04/09,402,B
+07DA001,1,1966/04/10,408,B
+07DA001,1,1966/04/11,425,B
+07DA001,1,1966/04/12,425,B
+07DA001,1,1966/04/13,430,B
+07DA001,1,1966/04/14,430,B
+07DA001,1,1966/04/15,425,B
+07DA001,1,1966/04/16,430,B
+07DA001,1,1966/04/17,422,B
+07DA001,1,1966/04/18,402,B
+07DA001,1,1966/04/19,402,B
+07DA001,1,1966/04/20,402,B
+07DA001,1,1966/04/21,385,B
+07DA001,1,1966/04/22,379,B
+07DA001,1,1966/04/23,379,B
+07DA001,1,1966/04/24,408,B
+07DA001,1,1966/04/25,413,B
+07DA001,1,1966/04/26,419,B
+07DA001,1,1966/04/27,408,B
+07DA001,1,1966/04/28,402,B
+07DA001,1,1966/04/29,450,B
+07DA001,1,1966/04/30,416,B
+07DA001,1,1966/05/01,413,B
+07DA001,1,1966/05/02,419,B
+07DA001,1,1966/05/03,507,E
+07DA001,1,1966/05/04,597,E
+07DA001,1,1966/05/05,685,E
+07DA001,1,1966/05/06,776,E
+07DA001,1,1966/05/07,867,E
+07DA001,1,1966/05/08,954,E
+07DA001,1,1966/05/09,1040,E
+07DA001,1,1966/05/10,1140,E
+07DA001,1,1966/05/11,1230,E
+07DA001,1,1966/05/12,1320,
+07DA001,1,1966/05/13,1340,
+07DA001,1,1966/05/14,1500,
+07DA001,1,1966/05/15,1790,
+07DA001,1,1966/05/16,1620,
+07DA001,1,1966/05/17,1460,
+07DA001,1,1966/05/18,1420,
+07DA001,1,1966/05/19,1370,
+07DA001,1,1966/05/20,1270,
+07DA001,1,1966/05/21,1180,
+07DA001,1,1966/05/22,1200,
+07DA001,1,1966/05/23,1370,
+07DA001,1,1966/05/24,1400,
+07DA001,1,1966/05/25,1370,
+07DA001,1,1966/05/26,1400,
+07DA001,1,1966/05/27,1410,
+07DA001,1,1966/05/28,1360,
+07DA001,1,1966/05/29,1290,
+07DA001,1,1966/05/30,1230,
+07DA001,1,1966/05/31,1270,
+07DA001,1,1966/06/01,1560,
+07DA001,1,1966/06/02,1820,
+07DA001,1,1966/06/03,1820,
+07DA001,1,1966/06/04,1800,
+07DA001,1,1966/06/05,1770,
+07DA001,1,1966/06/06,1710,
+07DA001,1,1966/06/07,1640,
+07DA001,1,1966/06/08,1620,
+07DA001,1,1966/06/09,1720,
+07DA001,1,1966/06/10,1720,
+07DA001,1,1966/06/11,1660,
+07DA001,1,1966/06/12,1850,
+07DA001,1,1966/06/13,1570,
+07DA001,1,1966/06/14,1570,
+07DA001,1,1966/06/15,1600,
+07DA001,1,1966/06/16,1620,
+07DA001,1,1966/06/17,1540,
+07DA001,1,1966/06/18,1430,
+07DA001,1,1966/06/19,1340,
+07DA001,1,1966/06/20,1270,
+07DA001,1,1966/06/21,1230,
+07DA001,1,1966/06/22,1230,
+07DA001,1,1966/06/23,1290,
+07DA001,1,1966/06/24,1310,
+07DA001,1,1966/06/25,1270,
+07DA001,1,1966/06/26,1210,
+07DA001,1,1966/06/27,1150,
+07DA001,1,1966/06/28,1080,
+07DA001,1,1966/06/29,1030,
+07DA001,1,1966/06/30,991,
+07DA001,1,1966/07/01,966,
+07DA001,1,1966/07/02,946,
+07DA001,1,1966/07/03,926,
+07DA001,1,1966/07/04,926,
+07DA001,1,1966/07/05,951,
+07DA001,1,1966/07/06,943,
+07DA001,1,1966/07/07,909,
+07DA001,1,1966/07/08,926,
+07DA001,1,1966/07/09,1670,
+07DA001,1,1966/07/10,1720,
+07DA001,1,1966/07/11,1670,
+07DA001,1,1966/07/12,1740,
+07DA001,1,1966/07/13,1630,
+07DA001,1,1966/07/14,1600,
+07DA001,1,1966/07/15,1560,
+07DA001,1,1966/07/16,1490,
+07DA001,1,1966/07/17,1420,
+07DA001,1,1966/07/18,1350,
+07DA001,1,1966/07/19,1320,
+07DA001,1,1966/07/20,1350,
+07DA001,1,1966/07/21,1410,
+07DA001,1,1966/07/22,1440,
+07DA001,1,1966/07/23,1410,
+07DA001,1,1966/07/24,1350,
+07DA001,1,1966/07/25,1300,
+07DA001,1,1966/07/26,1240,
+07DA001,1,1966/07/27,1170,
+07DA001,1,1966/07/28,1110,
+07DA001,1,1966/07/29,1090,
+07DA001,1,1966/07/30,1170,
+07DA001,1,1966/07/31,1270,
+07DA001,1,1966/08/01,1290,
+07DA001,1,1966/08/02,1190,
+07DA001,1,1966/08/03,1140,
+07DA001,1,1966/08/04,1140,
+07DA001,1,1966/08/05,1110,
+07DA001,1,1966/08/06,1050,
+07DA001,1,1966/08/07,994,
+07DA001,1,1966/08/08,974,
+07DA001,1,1966/08/09,1020,
+07DA001,1,1966/08/10,1510,
+07DA001,1,1966/08/11,1600,
+07DA001,1,1966/08/12,1500,
+07DA001,1,1966/08/13,1460,
+07DA001,1,1966/08/14,1400,
+07DA001,1,1966/08/15,1410,
+07DA001,1,1966/08/16,1470,
+07DA001,1,1966/08/17,1440,
+07DA001,1,1966/08/18,1350,
+07DA001,1,1966/08/19,1300,
+07DA001,1,1966/08/20,1250,
+07DA001,1,1966/08/21,1230,
+07DA001,1,1966/08/22,1210,
+07DA001,1,1966/08/23,1170,
+07DA001,1,1966/08/24,1090,
+07DA001,1,1966/08/25,1040,
+07DA001,1,1966/08/26,991,
+07DA001,1,1966/08/27,946,
+07DA001,1,1966/08/28,906,
+07DA001,1,1966/08/29,883,
+07DA001,1,1966/08/30,886,
+07DA001,1,1966/08/31,971,
+07DA001,1,1966/09/01,1500,
+07DA001,1,1966/09/02,2000,
+07DA001,1,1966/09/03,1840,
+07DA001,1,1966/09/04,1660,
+07DA001,1,1966/09/05,1530,
+07DA001,1,1966/09/06,1400,
+07DA001,1,1966/09/07,1310,
+07DA001,1,1966/09/08,1230,
+07DA001,1,1966/09/09,1160,
+07DA001,1,1966/09/10,1100,
+07DA001,1,1966/09/11,1050,
+07DA001,1,1966/09/12,1020,
+07DA001,1,1966/09/13,1010,
+07DA001,1,1966/09/14,974,
+07DA001,1,1966/09/15,929,
+07DA001,1,1966/09/16,892,
+07DA001,1,1966/09/17,878,
+07DA001,1,1966/09/18,872,
+07DA001,1,1966/09/19,838,
+07DA001,1,1966/09/20,801,
+07DA001,1,1966/09/21,767,
+07DA001,1,1966/09/22,748,
+07DA001,1,1966/09/23,725,
+07DA001,1,1966/09/24,708,
+07DA001,1,1966/09/25,708,
+07DA001,1,1966/09/26,708,
+07DA001,1,1966/09/27,680,
+07DA001,1,1966/09/28,657,
+07DA001,1,1966/09/29,640,
+07DA001,1,1966/09/30,648,
+07DA001,1,1966/10/01,680,
+07DA001,1,1966/10/02,682,
+07DA001,1,1966/10/03,660,
+07DA001,1,1966/10/04,643,
+07DA001,1,1966/10/05,643,
+07DA001,1,1966/10/06,663,
+07DA001,1,1966/10/07,648,
+07DA001,1,1966/10/08,648,
+07DA001,1,1966/10/09,668,
+07DA001,1,1966/10/10,654,
+07DA001,1,1966/10/11,634,
+07DA001,1,1966/10/12,626,
+07DA001,1,1966/10/13,623,
+07DA001,1,1966/10/14,623,
+07DA001,1,1966/10/15,614,
+07DA001,1,1966/10/16,592,
+07DA001,1,1966/10/17,572,
+07DA001,1,1966/10/18,549,
+07DA001,1,1966/10/19,538,
+07DA001,1,1966/10/20,530,
+07DA001,1,1966/10/21,524,
+07DA001,1,1966/10/22,504,
+07DA001,1,1966/10/23,481,
+07DA001,1,1966/10/24,481,
+07DA001,1,1966/10/25,479,
+07DA001,1,1966/10/26,462,
+07DA001,1,1966/10/27,462,
+07DA001,1,1966/10/28,462,
+07DA001,1,1966/10/29,442,
+07DA001,1,1966/10/30,470,
+07DA001,1,1966/10/31,487,
+07DA001,1,1966/11/01,464,
+07DA001,1,1966/11/02,464,
+07DA001,1,1966/11/03,496,
+07DA001,1,1966/11/04,496,
+07DA001,1,1966/11/05,467,B
+07DA001,1,1966/11/06,467,B
+07DA001,1,1966/11/07,459,B
+07DA001,1,1966/11/08,442,B
+07DA001,1,1966/11/09,425,B
+07DA001,1,1966/11/10,411,B
+07DA001,1,1966/11/11,394,B
+07DA001,1,1966/11/12,377,B
+07DA001,1,1966/11/13,357,B
+07DA001,1,1966/11/14,343,B
+07DA001,1,1966/11/15,326,B
+07DA001,1,1966/11/16,309,B
+07DA001,1,1966/11/17,292,B
+07DA001,1,1966/11/18,272,B
+07DA001,1,1966/11/19,255,B
+07DA001,1,1966/11/20,241,B
+07DA001,1,1966/11/21,249,B
+07DA001,1,1966/11/22,269,B
+07DA001,1,1966/11/23,272,B
+07DA001,1,1966/11/24,275,B
+07DA001,1,1966/11/25,275,B
+07DA001,1,1966/11/26,275,B
+07DA001,1,1966/11/27,278,B
+07DA001,1,1966/11/28,278,B
+07DA001,1,1966/11/29,278,B
+07DA001,1,1966/11/30,278,B
+07DA001,1,1966/12/01,280,B
+07DA001,1,1966/12/02,283,B
+07DA001,1,1966/12/03,278,B
+07DA001,1,1966/12/04,275,B
+07DA001,1,1966/12/05,272,B
+07DA001,1,1966/12/06,266,B
+07DA001,1,1966/12/07,261,B
+07DA001,1,1966/12/08,255,B
+07DA001,1,1966/12/09,246,B
+07DA001,1,1966/12/10,241,B
+07DA001,1,1966/12/11,238,B
+07DA001,1,1966/12/12,229,B
+07DA001,1,1966/12/13,221,B
+07DA001,1,1966/12/14,218,B
+07DA001,1,1966/12/15,224,B
+07DA001,1,1966/12/16,241,B
+07DA001,1,1966/12/17,244,B
+07DA001,1,1966/12/18,244,B
+07DA001,1,1966/12/19,244,B
+07DA001,1,1966/12/20,241,B
+07DA001,1,1966/12/21,241,B
+07DA001,1,1966/12/22,241,B
+07DA001,1,1966/12/23,241,B
+07DA001,1,1966/12/24,241,B
+07DA001,1,1966/12/25,241,B
+07DA001,1,1966/12/26,241,B
+07DA001,1,1966/12/27,241,B
+07DA001,1,1966/12/28,241,B
+07DA001,1,1966/12/29,241,B
+07DA001,1,1966/12/30,241,B
+07DA001,1,1966/12/31,238,B
+07DA001,1,1967/01/01,238,B
+07DA001,1,1967/01/02,235,B
+07DA001,1,1967/01/03,232,B
+07DA001,1,1967/01/04,229,B
+07DA001,1,1967/01/05,224,B
+07DA001,1,1967/01/06,218,B
+07DA001,1,1967/01/07,218,B
+07DA001,1,1967/01/08,218,B
+07DA001,1,1967/01/09,218,B
+07DA001,1,1967/01/10,218,B
+07DA001,1,1967/01/11,218,B
+07DA001,1,1967/01/12,218,B
+07DA001,1,1967/01/13,218,B
+07DA001,1,1967/01/14,218,B
+07DA001,1,1967/01/15,215,B
+07DA001,1,1967/01/16,215,B
+07DA001,1,1967/01/17,215,B
+07DA001,1,1967/01/18,215,B
+07DA001,1,1967/01/19,212,B
+07DA001,1,1967/01/20,212,B
+07DA001,1,1967/01/21,212,B
+07DA001,1,1967/01/22,210,B
+07DA001,1,1967/01/23,210,B
+07DA001,1,1967/01/24,210,B
+07DA001,1,1967/01/25,207,B
+07DA001,1,1967/01/26,207,B
+07DA001,1,1967/01/27,207,B
+07DA001,1,1967/01/28,207,B
+07DA001,1,1967/01/29,207,B
+07DA001,1,1967/01/30,204,B
+07DA001,1,1967/01/31,204,B
+07DA001,1,1967/02/01,201,B
+07DA001,1,1967/02/02,201,B
+07DA001,1,1967/02/03,198,B
+07DA001,1,1967/02/04,198,B
+07DA001,1,1967/02/05,198,B
+07DA001,1,1967/02/06,195,B
+07DA001,1,1967/02/07,195,B
+07DA001,1,1967/02/08,193,B
+07DA001,1,1967/02/09,193,B
+07DA001,1,1967/02/10,190,B
+07DA001,1,1967/02/11,190,B
+07DA001,1,1967/02/12,190,B
+07DA001,1,1967/02/13,187,B
+07DA001,1,1967/02/14,187,B
+07DA001,1,1967/02/15,187,B
+07DA001,1,1967/02/16,187,B
+07DA001,1,1967/02/17,184,B
+07DA001,1,1967/02/18,184,B
+07DA001,1,1967/02/19,184,B
+07DA001,1,1967/02/20,184,B
+07DA001,1,1967/02/21,181,B
+07DA001,1,1967/02/22,181,B
+07DA001,1,1967/02/23,181,B
+07DA001,1,1967/02/24,178,B
+07DA001,1,1967/02/25,178,B
+07DA001,1,1967/02/26,178,B
+07DA001,1,1967/02/27,176,B
+07DA001,1,1967/02/28,176,B
+07DA001,1,1967/03/01,176,B
+07DA001,1,1967/03/02,173,B
+07DA001,1,1967/03/03,173,B
+07DA001,1,1967/03/04,170,B
+07DA001,1,1967/03/05,170,B
+07DA001,1,1967/03/06,170,B
+07DA001,1,1967/03/07,170,B
+07DA001,1,1967/03/08,170,
+07DA001,1,1967/03/09,167,
+07DA001,1,1967/03/10,161,
+07DA001,1,1967/03/11,159,
+07DA001,1,1967/03/12,159,
+07DA001,1,1967/03/13,156,
+07DA001,1,1967/03/14,156,
+07DA001,1,1967/03/15,153,
+07DA001,1,1967/03/16,153,
+07DA001,1,1967/03/17,153,
+07DA001,1,1967/03/18,150,
+07DA001,1,1967/03/19,150,
+07DA001,1,1967/03/20,147,
+07DA001,1,1967/03/21,147,
+07DA001,1,1967/03/22,147,
+07DA001,1,1967/03/23,144,
+07DA001,1,1967/03/24,142,
+07DA001,1,1967/03/25,142,
+07DA001,1,1967/03/26,142,
+07DA001,1,1967/03/27,142,
+07DA001,1,1967/03/28,144,
+07DA001,1,1967/03/29,147,
+07DA001,1,1967/03/30,150,
+07DA001,1,1967/03/31,150,
+07DA001,1,1967/04/01,150,
+07DA001,1,1967/04/02,153,
+07DA001,1,1967/04/03,153,
+07DA001,1,1967/04/04,153,
+07DA001,1,1967/04/05,156,
+07DA001,1,1967/04/06,156,
+07DA001,1,1967/04/07,159,
+07DA001,1,1967/04/08,159,
+07DA001,1,1967/04/09,161,
+07DA001,1,1967/04/10,161,
+07DA001,1,1967/04/11,170,
+07DA001,1,1967/04/12,187,
+07DA001,1,1967/04/13,210,
+07DA001,1,1967/04/14,232,
+07DA001,1,1967/04/15,252,
+07DA001,1,1967/04/16,275,
+07DA001,1,1967/04/17,297,
+07DA001,1,1967/04/18,320,
+07DA001,1,1967/04/19,343,
+07DA001,1,1967/04/20,360,
+07DA001,1,1967/04/21,382,
+07DA001,1,1967/04/22,408,
+07DA001,1,1967/04/23,433,
+07DA001,1,1967/04/24,462,
+07DA001,1,1967/04/25,487,
+07DA001,1,1967/04/26,510,
+07DA001,1,1967/04/27,538,
+07DA001,1,1967/04/28,595,
+07DA001,1,1967/04/29,688,
+07DA001,1,1967/04/30,892,
+07DA001,1,1967/05/01,1340,
+07DA001,1,1967/05/02,1390,
+07DA001,1,1967/05/03,1420,
+07DA001,1,1967/05/04,1410,
+07DA001,1,1967/05/05,1370,
+07DA001,1,1967/05/06,1330,
+07DA001,1,1967/05/07,1310,
+07DA001,1,1967/05/08,1310,E
+07DA001,1,1967/05/09,1340,E
+07DA001,1,1967/05/10,1370,E
+07DA001,1,1967/05/11,1380,E
+07DA001,1,1967/05/12,1380,
+07DA001,1,1967/05/13,1370,E
+07DA001,1,1967/05/14,1360,E
+07DA001,1,1967/05/15,1330,
+07DA001,1,1967/05/16,1290,
+07DA001,1,1967/05/17,1270,
+07DA001,1,1967/05/18,1270,
+07DA001,1,1967/05/19,1280,
+07DA001,1,1967/05/20,1340,
+07DA001,1,1967/05/21,1390,
+07DA001,1,1967/05/22,1420,
+07DA001,1,1967/05/23,1420,
+07DA001,1,1967/05/24,1400,
+07DA001,1,1967/05/25,1370,
+07DA001,1,1967/05/26,1360,
+07DA001,1,1967/05/27,1360,
+07DA001,1,1967/05/28,1390,
+07DA001,1,1967/05/29,1370,
+07DA001,1,1967/05/30,1350,
+07DA001,1,1967/05/31,1290,
+07DA001,1,1967/06/01,1230,
+07DA001,1,1967/06/02,1170,
+07DA001,1,1967/06/03,1160,
+07DA001,1,1967/06/04,1200,
+07DA001,1,1967/06/05,1380,
+07DA001,1,1967/06/06,1430,
+07DA001,1,1967/06/07,1470,
+07DA001,1,1967/06/08,1530,
+07DA001,1,1967/06/09,1480,
+07DA001,1,1967/06/10,1380,
+07DA001,1,1967/06/11,1310,
+07DA001,1,1967/06/12,1330,
+07DA001,1,1967/06/13,1480,
+07DA001,1,1967/06/14,1720,
+07DA001,1,1967/06/15,1670,
+07DA001,1,1967/06/16,1540,
+07DA001,1,1967/06/17,1420,
+07DA001,1,1967/06/18,1370,
+07DA001,1,1967/06/19,1350,
+07DA001,1,1967/06/20,1370,
+07DA001,1,1967/06/21,1540,
+07DA001,1,1967/06/22,1790,
+07DA001,1,1967/06/23,1800,
+07DA001,1,1967/06/24,1690,
+07DA001,1,1967/06/25,1600,
+07DA001,1,1967/06/26,1580,
+07DA001,1,1967/06/27,1550,
+07DA001,1,1967/06/28,1470,
+07DA001,1,1967/06/29,1380,
+07DA001,1,1967/06/30,1330,
+07DA001,1,1967/07/01,1310,
+07DA001,1,1967/07/02,1330,
+07DA001,1,1967/07/03,1350,
+07DA001,1,1967/07/04,1350,
+07DA001,1,1967/07/05,1310,
+07DA001,1,1967/07/06,1200,
+07DA001,1,1967/07/07,1110,
+07DA001,1,1967/07/08,1050,
+07DA001,1,1967/07/09,1050,
+07DA001,1,1967/07/10,1140,
+07DA001,1,1967/07/11,1180,
+07DA001,1,1967/07/12,1140,
+07DA001,1,1967/07/13,1090,
+07DA001,1,1967/07/14,1060,
+07DA001,1,1967/07/15,1030,
+07DA001,1,1967/07/16,1000,
+07DA001,1,1967/07/17,960,
+07DA001,1,1967/07/18,960,
+07DA001,1,1967/07/19,1030,
+07DA001,1,1967/07/20,1090,
+07DA001,1,1967/07/21,1060,
+07DA001,1,1967/07/22,1030,
+07DA001,1,1967/07/23,1020,
+07DA001,1,1967/07/24,1010,
+07DA001,1,1967/07/25,966,
+07DA001,1,1967/07/26,926,
+07DA001,1,1967/07/27,920,
+07DA001,1,1967/07/28,920,
+07DA001,1,1967/07/29,912,
+07DA001,1,1967/07/30,929,
+07DA001,1,1967/07/31,991,
+07DA001,1,1967/08/01,1020,
+07DA001,1,1967/08/02,1030,
+07DA001,1,1967/08/03,1060,
+07DA001,1,1967/08/04,1070,
+07DA001,1,1967/08/05,1040,
+07DA001,1,1967/08/06,1010,
+07DA001,1,1967/08/07,977,
+07DA001,1,1967/08/08,915,
+07DA001,1,1967/08/09,869,
+07DA001,1,1967/08/10,847,
+07DA001,1,1967/08/11,855,
+07DA001,1,1967/08/12,878,
+07DA001,1,1967/08/13,898,
+07DA001,1,1967/08/14,895,
+07DA001,1,1967/08/15,872,
+07DA001,1,1967/08/16,844,
+07DA001,1,1967/08/17,833,
+07DA001,1,1967/08/18,838,
+07DA001,1,1967/08/19,827,
+07DA001,1,1967/08/20,818,
+07DA001,1,1967/08/21,816,
+07DA001,1,1967/08/22,801,
+07DA001,1,1967/08/23,773,
+07DA001,1,1967/08/24,765,
+07DA001,1,1967/08/25,770,
+07DA001,1,1967/08/26,767,
+07DA001,1,1967/08/27,759,
+07DA001,1,1967/08/28,739,
+07DA001,1,1967/08/29,714,
+07DA001,1,1967/08/30,682,
+07DA001,1,1967/08/31,651,
+07DA001,1,1967/09/01,614,
+07DA001,1,1967/09/02,578,
+07DA001,1,1967/09/03,555,
+07DA001,1,1967/09/04,555,
+07DA001,1,1967/09/05,558,
+07DA001,1,1967/09/06,583,
+07DA001,1,1967/09/07,595,
+07DA001,1,1967/09/08,597,
+07DA001,1,1967/09/09,629,
+07DA001,1,1967/09/10,623,
+07DA001,1,1967/09/11,603,
+07DA001,1,1967/09/12,597,
+07DA001,1,1967/09/13,609,
+07DA001,1,1967/09/14,600,
+07DA001,1,1967/09/15,561,
+07DA001,1,1967/09/16,535,
+07DA001,1,1967/09/17,515,
+07DA001,1,1967/09/18,501,
+07DA001,1,1967/09/19,496,
+07DA001,1,1967/09/20,464,
+07DA001,1,1967/09/21,442,
+07DA001,1,1967/09/22,436,
+07DA001,1,1967/09/23,430,
+07DA001,1,1967/09/24,442,
+07DA001,1,1967/09/25,453,
+07DA001,1,1967/09/26,453,
+07DA001,1,1967/09/27,464,
+07DA001,1,1967/09/28,470,
+07DA001,1,1967/09/29,481,
+07DA001,1,1967/09/30,496,
+07DA001,1,1967/10/01,459,
+07DA001,1,1967/10/02,442,
+07DA001,1,1967/10/03,442,
+07DA001,1,1967/10/04,425,
+07DA001,1,1967/10/05,408,
+07DA001,1,1967/10/06,413,
+07DA001,1,1967/10/07,422,
+07DA001,1,1967/10/08,425,
+07DA001,1,1967/10/09,411,
+07DA001,1,1967/10/10,396,
+07DA001,1,1967/10/11,388,
+07DA001,1,1967/10/12,379,
+07DA001,1,1967/10/13,368,
+07DA001,1,1967/10/14,362,
+07DA001,1,1967/10/15,351,
+07DA001,1,1967/10/16,345,
+07DA001,1,1967/10/17,340,
+07DA001,1,1967/10/18,345,
+07DA001,1,1967/10/19,365,
+07DA001,1,1967/10/20,385,
+07DA001,1,1967/10/21,374,
+07DA001,1,1967/10/22,357,
+07DA001,1,1967/10/23,345,
+07DA001,1,1967/10/24,334,
+07DA001,1,1967/10/25,328,
+07DA001,1,1967/10/26,326,
+07DA001,1,1967/10/27,320,
+07DA001,1,1967/10/28,320,
+07DA001,1,1967/10/29,317,
+07DA001,1,1967/10/30,306,
+07DA001,1,1967/10/31,309,
+07DA001,1,1967/11/01,309,B
+07DA001,1,1967/11/02,294,B
+07DA001,1,1967/11/03,289,B
+07DA001,1,1967/11/04,264,B
+07DA001,1,1967/11/05,266,B
+07DA001,1,1967/11/06,266,B
+07DA001,1,1967/11/07,272,B
+07DA001,1,1967/11/08,275,B
+07DA001,1,1967/11/09,278,B
+07DA001,1,1967/11/10,283,B
+07DA001,1,1967/11/11,263,B
+07DA001,1,1967/11/12,260,B
+07DA001,1,1967/11/13,258,B
+07DA001,1,1967/11/14,254,B
+07DA001,1,1967/11/15,261,B
+07DA001,1,1967/11/16,266,B
+07DA001,1,1967/11/17,269,B
+07DA001,1,1967/11/18,253,B
+07DA001,1,1967/11/19,245,B
+07DA001,1,1967/11/20,229,B
+07DA001,1,1967/11/21,220,B
+07DA001,1,1967/11/22,224,B
+07DA001,1,1967/11/23,234,B
+07DA001,1,1967/11/24,227,B
+07DA001,1,1967/11/25,206,B
+07DA001,1,1967/11/26,182,B
+07DA001,1,1967/11/27,173,B
+07DA001,1,1967/11/28,170,B
+07DA001,1,1967/11/29,184,B
+07DA001,1,1967/11/30,181,B
+07DA001,1,1967/12/01,167,B
+07DA001,1,1967/12/02,150,B
+07DA001,1,1967/12/03,133,B
+07DA001,1,1967/12/04,127,B
+07DA001,1,1967/12/05,133,B
+07DA001,1,1967/12/06,148,B
+07DA001,1,1967/12/07,155,B
+07DA001,1,1967/12/08,153,B
+07DA001,1,1967/12/09,148,B
+07DA001,1,1967/12/10,146,B
+07DA001,1,1967/12/11,144,B
+07DA001,1,1967/12/12,141,B
+07DA001,1,1967/12/13,137,B
+07DA001,1,1967/12/14,134,B
+07DA001,1,1967/12/15,129,B
+07DA001,1,1967/12/16,121,B
+07DA001,1,1967/12/17,126,B
+07DA001,1,1967/12/18,132,B
+07DA001,1,1967/12/19,135,B
+07DA001,1,1967/12/20,136,B
+07DA001,1,1967/12/21,134,B
+07DA001,1,1967/12/22,132,B
+07DA001,1,1967/12/23,131,B
+07DA001,1,1967/12/24,129,B
+07DA001,1,1967/12/25,127,B
+07DA001,1,1967/12/26,125,B
+07DA001,1,1967/12/27,124,B
+07DA001,1,1967/12/28,122,B
+07DA001,1,1967/12/29,120,B
+07DA001,1,1967/12/30,119,B
+07DA001,1,1967/12/31,118,B
+07DA001,1,1968/01/01,115,B
+07DA001,1,1968/01/02,114,B
+07DA001,1,1968/01/03,112,B
+07DA001,1,1968/01/04,110,B
+07DA001,1,1968/01/05,108,B
+07DA001,1,1968/01/06,109,B
+07DA001,1,1968/01/07,111,B
+07DA001,1,1968/01/08,114,B
+07DA001,1,1968/01/09,115,B
+07DA001,1,1968/01/10,119,B
+07DA001,1,1968/01/11,121,B
+07DA001,1,1968/01/12,123,B
+07DA001,1,1968/01/13,123,B
+07DA001,1,1968/01/14,123,B
+07DA001,1,1968/01/15,124,B
+07DA001,1,1968/01/16,120,B
+07DA001,1,1968/01/17,117,B
+07DA001,1,1968/01/18,117,B
+07DA001,1,1968/01/19,117,B
+07DA001,1,1968/01/20,115,B
+07DA001,1,1968/01/21,116,B
+07DA001,1,1968/01/22,115,B
+07DA001,1,1968/01/23,114,B
+07DA001,1,1968/01/24,114,B
+07DA001,1,1968/01/25,118,B
+07DA001,1,1968/01/26,115,B
+07DA001,1,1968/01/27,115,B
+07DA001,1,1968/01/28,115,B
+07DA001,1,1968/01/29,114,B
+07DA001,1,1968/01/30,114,B
+07DA001,1,1968/01/31,114,B
+07DA001,1,1968/02/01,114,B
+07DA001,1,1968/02/02,114,B
+07DA001,1,1968/02/03,114,B
+07DA001,1,1968/02/04,114,B
+07DA001,1,1968/02/05,113,B
+07DA001,1,1968/02/06,113,B
+07DA001,1,1968/02/07,113,B
+07DA001,1,1968/02/08,112,B
+07DA001,1,1968/02/09,112,B
+07DA001,1,1968/02/10,112,B
+07DA001,1,1968/02/11,112,B
+07DA001,1,1968/02/12,114,B
+07DA001,1,1968/02/13,117,B
+07DA001,1,1968/02/14,119,B
+07DA001,1,1968/02/15,121,B
+07DA001,1,1968/02/16,123,B
+07DA001,1,1968/02/17,125,B
+07DA001,1,1968/02/18,127,B
+07DA001,1,1968/02/19,127,B
+07DA001,1,1968/02/20,125,B
+07DA001,1,1968/02/21,128,B
+07DA001,1,1968/02/22,129,B
+07DA001,1,1968/02/23,130,B
+07DA001,1,1968/02/24,131,B
+07DA001,1,1968/02/25,131,B
+07DA001,1,1968/02/26,132,B
+07DA001,1,1968/02/27,133,B
+07DA001,1,1968/02/28,133,B
+07DA001,1,1968/02/29,134,B
+07DA001,1,1968/03/01,134,B
+07DA001,1,1968/03/02,134,B
+07DA001,1,1968/03/03,135,B
+07DA001,1,1968/03/04,136,B
+07DA001,1,1968/03/05,139,B
+07DA001,1,1968/03/06,142,B
+07DA001,1,1968/03/07,144,B
+07DA001,1,1968/03/08,146,B
+07DA001,1,1968/03/09,147,B
+07DA001,1,1968/03/10,148,B
+07DA001,1,1968/03/11,148,B
+07DA001,1,1968/03/12,152,B
+07DA001,1,1968/03/13,154,B
+07DA001,1,1968/03/14,153,B
+07DA001,1,1968/03/15,151,B
+07DA001,1,1968/03/16,153,B
+07DA001,1,1968/03/17,159,B
+07DA001,1,1968/03/18,159,B
+07DA001,1,1968/03/19,159,B
+07DA001,1,1968/03/20,161,B
+07DA001,1,1968/03/21,164,B
+07DA001,1,1968/03/22,167,B
+07DA001,1,1968/03/23,170,B
+07DA001,1,1968/03/24,176,B
+07DA001,1,1968/03/25,182,B
+07DA001,1,1968/03/26,187,B
+07DA001,1,1968/03/27,193,B
+07DA001,1,1968/03/28,198,B
+07DA001,1,1968/03/29,201,B
+07DA001,1,1968/03/30,204,B
+07DA001,1,1968/03/31,207,B
+07DA001,1,1968/04/01,209,B
+07DA001,1,1968/04/02,212,B
+07DA001,1,1968/04/03,216,B
+07DA001,1,1968/04/04,223,B
+07DA001,1,1968/04/05,226,B
+07DA001,1,1968/04/06,229,B
+07DA001,1,1968/04/07,231,B
+07DA001,1,1968/04/08,232,B
+07DA001,1,1968/04/09,237,B
+07DA001,1,1968/04/10,244,B
+07DA001,1,1968/04/11,251,B
+07DA001,1,1968/04/12,257,B
+07DA001,1,1968/04/13,263,B
+07DA001,1,1968/04/14,269,B
+07DA001,1,1968/04/15,276,B
+07DA001,1,1968/04/16,283,B
+07DA001,1,1968/04/17,289,B
+07DA001,1,1968/04/18,306,B
+07DA001,1,1968/04/19,303,B
+07DA001,1,1968/04/20,309,B
+07DA001,1,1968/04/21,314,B
+07DA001,1,1968/04/22,320,B
+07DA001,1,1968/04/23,326,B
+07DA001,1,1968/04/24,334,B
+07DA001,1,1968/04/25,343,B
+07DA001,1,1968/04/26,354,B
+07DA001,1,1968/04/27,365,B
+07DA001,1,1968/04/28,377,B
+07DA001,1,1968/04/29,368,
+07DA001,1,1968/04/30,371,
+07DA001,1,1968/05/01,394,
+07DA001,1,1968/05/02,430,
+07DA001,1,1968/05/03,447,
+07DA001,1,1968/05/04,479,
+07DA001,1,1968/05/05,530,
+07DA001,1,1968/05/06,572,
+07DA001,1,1968/05/07,606,
+07DA001,1,1968/05/08,620,
+07DA001,1,1968/05/09,597,
+07DA001,1,1968/05/10,578,
+07DA001,1,1968/05/11,583,
+07DA001,1,1968/05/12,580,
+07DA001,1,1968/05/13,566,
+07DA001,1,1968/05/14,555,
+07DA001,1,1968/05/15,547,
+07DA001,1,1968/05/16,538,
+07DA001,1,1968/05/17,538,
+07DA001,1,1968/05/18,532,
+07DA001,1,1968/05/19,530,
+07DA001,1,1968/05/20,515,
+07DA001,1,1968/05/21,496,
+07DA001,1,1968/05/22,479,
+07DA001,1,1968/05/23,459,
+07DA001,1,1968/05/24,453,
+07DA001,1,1968/05/25,473,
+07DA001,1,1968/05/26,541,
+07DA001,1,1968/05/27,631,
+07DA001,1,1968/05/28,691,
+07DA001,1,1968/05/29,728,
+07DA001,1,1968/05/30,646,
+07DA001,1,1968/05/31,753,
+07DA001,1,1968/06/01,818,
+07DA001,1,1968/06/02,847,
+07DA001,1,1968/06/03,872,
+07DA001,1,1968/06/04,883,
+07DA001,1,1968/06/05,864,
+07DA001,1,1968/06/06,833,
+07DA001,1,1968/06/07,787,
+07DA001,1,1968/06/08,787,
+07DA001,1,1968/06/09,867,
+07DA001,1,1968/06/10,864,
+07DA001,1,1968/06/11,813,
+07DA001,1,1968/06/12,813,
+07DA001,1,1968/06/13,869,
+07DA001,1,1968/06/14,991,
+07DA001,1,1968/06/15,1170,
+07DA001,1,1968/06/16,1420,
+07DA001,1,1968/06/17,1480,
+07DA001,1,1968/06/18,1380,
+07DA001,1,1968/06/19,1250,
+07DA001,1,1968/06/20,1110,
+07DA001,1,1968/06/21,1010,
+07DA001,1,1968/06/22,949,
+07DA001,1,1968/06/23,903,
+07DA001,1,1968/06/24,881,
+07DA001,1,1968/06/25,912,
+07DA001,1,1968/06/26,960,
+07DA001,1,1968/06/27,932,
+07DA001,1,1968/06/28,881,
+07DA001,1,1968/06/29,881,
+07DA001,1,1968/06/30,923,
+07DA001,1,1968/07/01,991,
+07DA001,1,1968/07/02,1310,
+07DA001,1,1968/07/03,1460,
+07DA001,1,1968/07/04,1340,
+07DA001,1,1968/07/05,1200,
+07DA001,1,1968/07/06,1110,
+07DA001,1,1968/07/07,1030,
+07DA001,1,1968/07/08,1010,
+07DA001,1,1968/07/09,1100,
+07DA001,1,1968/07/10,1230,
+07DA001,1,1968/07/11,1310,
+07DA001,1,1968/07/12,1330,
+07DA001,1,1968/07/13,1270,
+07DA001,1,1968/07/14,1230,
+07DA001,1,1968/07/15,1240,
+07DA001,1,1968/07/16,1240,
+07DA001,1,1968/07/17,1210,
+07DA001,1,1968/07/18,1220,
+07DA001,1,1968/07/19,1140,
+07DA001,1,1968/07/20,1020,
+07DA001,1,1968/07/21,929,
+07DA001,1,1968/07/22,867,
+07DA001,1,1968/07/23,813,
+07DA001,1,1968/07/24,776,
+07DA001,1,1968/07/25,773,
+07DA001,1,1968/07/26,833,
+07DA001,1,1968/07/27,932,
+07DA001,1,1968/07/28,966,
+07DA001,1,1968/07/29,977,
+07DA001,1,1968/07/30,946,
+07DA001,1,1968/07/31,937,
+07DA001,1,1968/08/01,943,
+07DA001,1,1968/08/02,946,
+07DA001,1,1968/08/03,988,
+07DA001,1,1968/08/04,1060,
+07DA001,1,1968/08/05,1040,
+07DA001,1,1968/08/06,954,
+07DA001,1,1968/08/07,898,
+07DA001,1,1968/08/08,906,
+07DA001,1,1968/08/09,923,
+07DA001,1,1968/08/10,985,
+07DA001,1,1968/08/11,1140,
+07DA001,1,1968/08/12,1140,
+07DA001,1,1968/08/13,1050,
+07DA001,1,1968/08/14,980,
+07DA001,1,1968/08/15,917,
+07DA001,1,1968/08/16,867,
+07DA001,1,1968/08/17,852,
+07DA001,1,1968/08/18,872,
+07DA001,1,1968/08/19,841,
+07DA001,1,1968/08/20,787,
+07DA001,1,1968/08/21,756,
+07DA001,1,1968/08/22,748,
+07DA001,1,1968/08/23,745,
+07DA001,1,1968/08/24,750,
+07DA001,1,1968/08/25,776,
+07DA001,1,1968/08/26,773,
+07DA001,1,1968/08/27,793,
+07DA001,1,1968/08/28,776,
+07DA001,1,1968/08/29,739,
+07DA001,1,1968/08/30,711,
+07DA001,1,1968/08/31,688,
+07DA001,1,1968/09/01,691,
+07DA001,1,1968/09/02,705,
+07DA001,1,1968/09/03,691,
+07DA001,1,1968/09/04,657,
+07DA001,1,1968/09/05,634,
+07DA001,1,1968/09/06,631,E
+07DA001,1,1968/09/07,629,E
+07DA001,1,1968/09/08,626,E
+07DA001,1,1968/09/09,623,E
+07DA001,1,1968/09/10,623,A
+07DA001,1,1968/09/11,609,
+07DA001,1,1968/09/12,603,
+07DA001,1,1968/09/13,640,
+07DA001,1,1968/09/14,685,
+07DA001,1,1968/09/15,660,
+07DA001,1,1968/09/16,640,
+07DA001,1,1968/09/17,637,
+07DA001,1,1968/09/18,665,
+07DA001,1,1968/09/19,691,
+07DA001,1,1968/09/20,668,
+07DA001,1,1968/09/21,640,
+07DA001,1,1968/09/22,640,
+07DA001,1,1968/09/23,657,
+07DA001,1,1968/09/24,668,
+07DA001,1,1968/09/25,685,
+07DA001,1,1968/09/26,685,
+07DA001,1,1968/09/27,677,
+07DA001,1,1968/09/28,668,
+07DA001,1,1968/09/29,657,
+07DA001,1,1968/09/30,646,
+07DA001,1,1968/10/01,629,
+07DA001,1,1968/10/02,614,
+07DA001,1,1968/10/03,597,
+07DA001,1,1968/10/04,592,
+07DA001,1,1968/10/05,595,
+07DA001,1,1968/10/06,586,
+07DA001,1,1968/10/07,566,
+07DA001,1,1968/10/08,547,
+07DA001,1,1968/10/09,538,
+07DA001,1,1968/10/10,530,
+07DA001,1,1968/10/11,521,
+07DA001,1,1968/10/12,515,
+07DA001,1,1968/10/13,513,
+07DA001,1,1968/10/14,504,
+07DA001,1,1968/10/15,507,
+07DA001,1,1968/10/16,507,
+07DA001,1,1968/10/17,501,
+07DA001,1,1968/10/18,504,
+07DA001,1,1968/10/19,498,
+07DA001,1,1968/10/20,496,
+07DA001,1,1968/10/21,487,
+07DA001,1,1968/10/22,479,
+07DA001,1,1968/10/23,473,
+07DA001,1,1968/10/24,467,
+07DA001,1,1968/10/25,456,
+07DA001,1,1968/10/26,456,
+07DA001,1,1968/10/27,453,
+07DA001,1,1968/10/28,447,
+07DA001,1,1968/10/29,447,
+07DA001,1,1968/10/30,439,
+07DA001,1,1968/10/31,439,
+07DA001,1,1968/11/01,425,B
+07DA001,1,1968/11/02,416,B
+07DA001,1,1968/11/03,413,B
+07DA001,1,1968/11/04,411,B
+07DA001,1,1968/11/05,408,B
+07DA001,1,1968/11/06,396,B
+07DA001,1,1968/11/07,394,B
+07DA001,1,1968/11/08,377,B
+07DA001,1,1968/11/09,351,B
+07DA001,1,1968/11/10,340,B
+07DA001,1,1968/11/11,328,B
+07DA001,1,1968/11/12,317,B
+07DA001,1,1968/11/13,309,B
+07DA001,1,1968/11/14,306,B
+07DA001,1,1968/11/15,297,B
+07DA001,1,1968/11/16,294,B
+07DA001,1,1968/11/17,283,B
+07DA001,1,1968/11/18,281,B
+07DA001,1,1968/11/19,272,B
+07DA001,1,1968/11/20,268,B
+07DA001,1,1968/11/21,266,B
+07DA001,1,1968/11/22,257,B
+07DA001,1,1968/11/23,254,B
+07DA001,1,1968/11/24,243,B
+07DA001,1,1968/11/25,241,B
+07DA001,1,1968/11/26,232,B
+07DA001,1,1968/11/27,226,B
+07DA001,1,1968/11/28,220,B
+07DA001,1,1968/11/29,215,B
+07DA001,1,1968/11/30,212,B
+07DA001,1,1968/12/01,207,B
+07DA001,1,1968/12/02,206,B
+07DA001,1,1968/12/03,193,B
+07DA001,1,1968/12/04,193,B
+07DA001,1,1968/12/05,182,B
+07DA001,1,1968/12/06,176,B
+07DA001,1,1968/12/07,165,B
+07DA001,1,1968/12/08,164,B
+07DA001,1,1968/12/09,165,B
+07DA001,1,1968/12/10,165,B
+07DA001,1,1968/12/11,161,B
+07DA001,1,1968/12/12,160,B
+07DA001,1,1968/12/13,153,B
+07DA001,1,1968/12/14,151,B
+07DA001,1,1968/12/15,153,B
+07DA001,1,1968/12/16,153,B
+07DA001,1,1968/12/17,148,B
+07DA001,1,1968/12/18,147,B
+07DA001,1,1968/12/19,144,B
+07DA001,1,1968/12/20,148,B
+07DA001,1,1968/12/21,148,B
+07DA001,1,1968/12/22,152,B
+07DA001,1,1968/12/23,154,B
+07DA001,1,1968/12/24,147,B
+07DA001,1,1968/12/25,146,B
+07DA001,1,1968/12/26,154,B
+07DA001,1,1968/12/27,154,B
+07DA001,1,1968/12/28,150,B
+07DA001,1,1968/12/29,151,B
+07DA001,1,1968/12/30,158,B
+07DA001,1,1968/12/31,156,B
+07DA001,1,1969/01/01,159,B
+07DA001,1,1969/01/02,159,B
+07DA001,1,1969/01/03,161,B
+07DA001,1,1969/01/04,162,B
+07DA001,1,1969/01/05,155,B
+07DA001,1,1969/01/06,155,B
+07DA001,1,1969/01/07,151,B
+07DA001,1,1969/01/08,152,B
+07DA001,1,1969/01/09,151,B
+07DA001,1,1969/01/10,146,B
+07DA001,1,1969/01/11,148,B
+07DA001,1,1969/01/12,147,B
+07DA001,1,1969/01/13,151,B
+07DA001,1,1969/01/14,151,B
+07DA001,1,1969/01/15,152,B
+07DA001,1,1969/01/16,151,B
+07DA001,1,1969/01/17,151,B
+07DA001,1,1969/01/18,152,B
+07DA001,1,1969/01/19,151,B
+07DA001,1,1969/01/20,149,B
+07DA001,1,1969/01/21,148,B
+07DA001,1,1969/01/22,146,B
+07DA001,1,1969/01/23,143,B
+07DA001,1,1969/01/24,138,B
+07DA001,1,1969/01/25,136,B
+07DA001,1,1969/01/26,135,B
+07DA001,1,1969/01/27,134,B
+07DA001,1,1969/01/28,133,B
+07DA001,1,1969/01/29,132,B
+07DA001,1,1969/01/30,132,B
+07DA001,1,1969/01/31,131,B
+07DA001,1,1969/02/01,130,B
+07DA001,1,1969/02/02,129,B
+07DA001,1,1969/02/03,128,B
+07DA001,1,1969/02/04,128,B
+07DA001,1,1969/02/05,127,B
+07DA001,1,1969/02/06,126,B
+07DA001,1,1969/02/07,126,B
+07DA001,1,1969/02/08,125,B
+07DA001,1,1969/02/09,124,B
+07DA001,1,1969/02/10,123,B
+07DA001,1,1969/02/11,123,B
+07DA001,1,1969/02/12,122,B
+07DA001,1,1969/02/13,121,B
+07DA001,1,1969/02/14,121,B
+07DA001,1,1969/02/15,120,B
+07DA001,1,1969/02/16,119,B
+07DA001,1,1969/02/17,119,B
+07DA001,1,1969/02/18,118,B
+07DA001,1,1969/02/19,119,B
+07DA001,1,1969/02/20,119,B
+07DA001,1,1969/02/21,119,B
+07DA001,1,1969/02/22,119,B
+07DA001,1,1969/02/23,119,B
+07DA001,1,1969/02/24,119,B
+07DA001,1,1969/02/25,120,B
+07DA001,1,1969/02/26,121,B
+07DA001,1,1969/02/27,121,B
+07DA001,1,1969/02/28,121,B
+07DA001,1,1969/03/01,122,B
+07DA001,1,1969/03/02,122,B
+07DA001,1,1969/03/03,122,B
+07DA001,1,1969/03/04,122,B
+07DA001,1,1969/03/05,121,B
+07DA001,1,1969/03/06,121,B
+07DA001,1,1969/03/07,121,B
+07DA001,1,1969/03/08,121,B
+07DA001,1,1969/03/09,121,B
+07DA001,1,1969/03/10,121,B
+07DA001,1,1969/03/11,121,B
+07DA001,1,1969/03/12,121,B
+07DA001,1,1969/03/13,121,B
+07DA001,1,1969/03/14,121,B
+07DA001,1,1969/03/15,121,B
+07DA001,1,1969/03/16,120,B
+07DA001,1,1969/03/17,120,B
+07DA001,1,1969/03/18,120,B
+07DA001,1,1969/03/19,119,B
+07DA001,1,1969/03/20,118,B
+07DA001,1,1969/03/21,117,B
+07DA001,1,1969/03/22,115,B
+07DA001,1,1969/03/23,114,B
+07DA001,1,1969/03/24,113,B
+07DA001,1,1969/03/25,112,B
+07DA001,1,1969/03/26,110,B
+07DA001,1,1969/03/27,110,B
+07DA001,1,1969/03/28,108,B
+07DA001,1,1969/03/29,108,B
+07DA001,1,1969/03/30,110,B
+07DA001,1,1969/03/31,114,B
+07DA001,1,1969/04/01,117,B
+07DA001,1,1969/04/02,117,B
+07DA001,1,1969/04/03,118,B
+07DA001,1,1969/04/04,117,B
+07DA001,1,1969/04/05,118,B
+07DA001,1,1969/04/06,120,B
+07DA001,1,1969/04/07,128,B
+07DA001,1,1969/04/08,133,B
+07DA001,1,1969/04/09,142,B
+07DA001,1,1969/04/10,152,B
+07DA001,1,1969/04/11,165,B
+07DA001,1,1969/04/12,201,B
+07DA001,1,1969/04/13,283,B
+07DA001,1,1969/04/14,479,B
+07DA001,1,1969/04/15,646,B
+07DA001,1,1969/04/28,1310,
+07DA001,1,1969/04/29,1340,
+07DA001,1,1969/04/30,1340,
+07DA001,1,1969/05/01,1350,
+07DA001,1,1969/05/02,1370,
+07DA001,1,1969/05/03,1370,
+07DA001,1,1969/05/04,1350,
+07DA001,1,1969/05/05,1310,
+07DA001,1,1969/05/06,1270,
+07DA001,1,1969/05/07,1220,
+07DA001,1,1969/05/08,1160,
+07DA001,1,1969/05/09,1120,
+07DA001,1,1969/05/10,1110,
+07DA001,1,1969/05/11,1080,
+07DA001,1,1969/05/12,1020,
+07DA001,1,1969/05/13,971,
+07DA001,1,1969/05/14,926,
+07DA001,1,1969/05/15,872,
+07DA001,1,1969/05/16,835,
+07DA001,1,1969/05/17,818,
+07DA001,1,1969/05/18,855,
+07DA001,1,1969/05/19,912,
+07DA001,1,1969/05/20,929,
+07DA001,1,1969/05/21,929,
+07DA001,1,1969/05/22,895,
+07DA001,1,1969/05/23,850,
+07DA001,1,1969/05/24,813,
+07DA001,1,1969/05/25,796,
+07DA001,1,1969/05/26,790,
+07DA001,1,1969/05/27,773,
+07DA001,1,1969/05/28,801,
+07DA001,1,1969/05/29,869,
+07DA001,1,1969/05/30,1010,
+07DA001,1,1969/05/31,1180,
+07DA001,1,1969/06/01,1210,
+07DA001,1,1969/06/02,1160,
+07DA001,1,1969/06/03,1080,
+07DA001,1,1969/06/04,1010,
+07DA001,1,1969/06/05,954,
+07DA001,1,1969/06/06,917,
+07DA001,1,1969/06/07,886,
+07DA001,1,1969/06/08,926,
+07DA001,1,1969/06/09,1080,
+07DA001,1,1969/06/10,1230,
+07DA001,1,1969/06/11,1250,
+07DA001,1,1969/06/12,1190,
+07DA001,1,1969/06/13,1100,
+07DA001,1,1969/06/14,1060,
+07DA001,1,1969/06/15,1050,
+07DA001,1,1969/06/16,1050,
+07DA001,1,1969/06/17,1040,
+07DA001,1,1969/06/18,1020,
+07DA001,1,1969/06/19,960,
+07DA001,1,1969/06/20,886,
+07DA001,1,1969/06/21,841,
+07DA001,1,1969/06/22,824,
+07DA001,1,1969/06/23,830,
+07DA001,1,1969/06/24,869,
+07DA001,1,1969/06/25,932,
+07DA001,1,1969/06/26,937,
+07DA001,1,1969/06/27,923,
+07DA001,1,1969/06/28,883,
+07DA001,1,1969/06/29,844,
+07DA001,1,1969/06/30,835,
+07DA001,1,1969/07/01,881,
+07DA001,1,1969/07/02,920,
+07DA001,1,1969/07/03,886,
+07DA001,1,1969/07/04,858,
+07DA001,1,1969/07/05,858,
+07DA001,1,1969/07/06,883,
+07DA001,1,1969/07/07,886,
+07DA001,1,1969/07/08,852,
+07DA001,1,1969/07/09,838,
+07DA001,1,1969/07/10,1070,
+07DA001,1,1969/07/11,1480,
+07DA001,1,1969/07/12,1410,
+07DA001,1,1969/07/13,1380,
+07DA001,1,1969/07/14,1290,
+07DA001,1,1969/07/15,1180,
+07DA001,1,1969/07/16,1110,
+07DA001,1,1969/07/17,1070,
+07DA001,1,1969/07/18,1010,
+07DA001,1,1969/07/19,923,
+07DA001,1,1969/07/20,841,
+07DA001,1,1969/07/21,779,
+07DA001,1,1969/07/22,762,
+07DA001,1,1969/07/23,725,
+07DA001,1,1969/07/24,697,
+07DA001,1,1969/07/25,685,
+07DA001,1,1969/07/26,680,
+07DA001,1,1969/07/27,705,
+07DA001,1,1969/07/28,728,
+07DA001,1,1969/07/29,722,
+07DA001,1,1969/07/30,694,
+07DA001,1,1969/07/31,702,
+07DA001,1,1969/08/01,742,
+07DA001,1,1969/08/02,731,
+07DA001,1,1969/08/03,759,
+07DA001,1,1969/08/04,858,
+07DA001,1,1969/08/05,878,
+07DA001,1,1969/08/06,830,
+07DA001,1,1969/08/07,807,
+07DA001,1,1969/08/08,799,
+07DA001,1,1969/08/09,1010,
+07DA001,1,1969/08/10,2630,
+07DA001,1,1969/08/11,2780,
+07DA001,1,1969/08/12,2230,
+07DA001,1,1969/08/13,1970,
+07DA001,1,1969/08/14,1760,
+07DA001,1,1969/08/15,1570,
+07DA001,1,1969/08/16,1430,
+07DA001,1,1969/08/17,1310,
+07DA001,1,1969/08/18,1200,
+07DA001,1,1969/08/19,1110,
+07DA001,1,1969/08/20,1040,
+07DA001,1,1969/08/21,1010,
+07DA001,1,1969/08/22,983,
+07DA001,1,1969/08/23,937,
+07DA001,1,1969/08/24,878,
+07DA001,1,1969/08/25,847,
+07DA001,1,1969/08/26,827,
+07DA001,1,1969/08/27,801,
+07DA001,1,1969/08/28,793,
+07DA001,1,1969/08/29,767,
+07DA001,1,1969/08/30,736,
+07DA001,1,1969/08/31,731,
+07DA001,1,1969/09/01,733,
+07DA001,1,1969/09/02,711,
+07DA001,1,1969/09/03,691,
+07DA001,1,1969/09/04,688,
+07DA001,1,1969/09/05,680,
+07DA001,1,1969/09/06,674,
+07DA001,1,1969/09/07,691,
+07DA001,1,1969/09/08,750,
+07DA001,1,1969/09/09,883,
+07DA001,1,1969/09/10,1030,
+07DA001,1,1969/09/11,1010,
+07DA001,1,1969/09/12,997,
+07DA001,1,1969/09/13,940,
+07DA001,1,1969/09/14,923,
+07DA001,1,1969/09/15,883,
+07DA001,1,1969/09/16,858,
+07DA001,1,1969/09/17,852,
+07DA001,1,1969/09/18,864,
+07DA001,1,1969/09/19,886,
+07DA001,1,1969/09/20,912,
+07DA001,1,1969/09/21,889,
+07DA001,1,1969/09/22,852,
+07DA001,1,1969/09/23,813,
+07DA001,1,1969/09/24,807,
+07DA001,1,1969/09/25,801,
+07DA001,1,1969/09/26,816,
+07DA001,1,1969/09/27,830,
+07DA001,1,1969/09/28,852,
+07DA001,1,1969/09/29,875,
+07DA001,1,1969/09/30,892,
+07DA001,1,1969/10/01,917,
+07DA001,1,1969/10/02,932,
+07DA001,1,1969/10/03,929,
+07DA001,1,1969/10/04,915,
+07DA001,1,1969/10/05,900,
+07DA001,1,1969/10/06,886,
+07DA001,1,1969/10/07,858,
+07DA001,1,1969/10/08,855,
+07DA001,1,1969/10/09,852,
+07DA001,1,1969/10/10,858,
+07DA001,1,1969/10/11,850,
+07DA001,1,1969/10/12,827,
+07DA001,1,1969/10/13,813,
+07DA001,1,1969/10/14,807,
+07DA001,1,1969/10/15,790,
+07DA001,1,1969/10/16,776,
+07DA001,1,1969/10/17,762,
+07DA001,1,1969/10/18,739,
+07DA001,1,1969/10/19,714,
+07DA001,1,1969/10/20,688,
+07DA001,1,1969/10/21,668,
+07DA001,1,1969/10/22,634,
+07DA001,1,1969/10/23,637,
+07DA001,1,1969/10/24,631,
+07DA001,1,1969/10/25,606,B
+07DA001,1,1969/10/26,549,B
+07DA001,1,1969/10/27,532,B
+07DA001,1,1969/10/28,532,B
+07DA001,1,1969/10/29,521,B
+07DA001,1,1969/10/30,530,B
+07DA001,1,1969/10/31,535,B
+07DA001,1,1969/11/01,515,B
+07DA001,1,1969/11/02,513,B
+07DA001,1,1969/11/03,498,B
+07DA001,1,1969/11/04,479,B
+07DA001,1,1969/11/05,459,B
+07DA001,1,1969/11/06,439,B
+07DA001,1,1969/11/07,422,B
+07DA001,1,1969/11/08,405,B
+07DA001,1,1969/11/09,382,B
+07DA001,1,1969/11/10,362,B
+07DA001,1,1969/11/11,345,B
+07DA001,1,1969/11/12,328,B
+07DA001,1,1969/11/13,309,B
+07DA001,1,1969/11/26,149,B
+07DA001,1,1969/12/22,171,B
+07DA001,1,1970/01/01,161,B
+07DA001,1,1970/01/02,161,B
+07DA001,1,1970/01/03,160,B
+07DA001,1,1970/01/04,159,B
+07DA001,1,1970/01/05,158,B
+07DA001,1,1970/01/06,157,B
+07DA001,1,1970/01/07,156,B
+07DA001,1,1970/01/08,155,B
+07DA001,1,1970/01/09,154,B
+07DA001,1,1970/01/10,153,B
+07DA001,1,1970/01/11,152,B
+07DA001,1,1970/01/12,151,B
+07DA001,1,1970/01/13,150,B
+07DA001,1,1970/01/14,149,B
+07DA001,1,1970/01/15,148,B
+07DA001,1,1970/01/16,148,B
+07DA001,1,1970/01/17,147,B
+07DA001,1,1970/01/18,146,B
+07DA001,1,1970/01/19,145,B
+07DA001,1,1970/01/20,144,B
+07DA001,1,1970/01/21,143,B
+07DA001,1,1970/01/22,142,B
+07DA001,1,1970/01/23,141,B
+07DA001,1,1970/01/24,140,B
+07DA001,1,1970/01/25,139,B
+07DA001,1,1970/01/26,138,B
+07DA001,1,1970/01/27,139,B
+07DA001,1,1970/01/28,140,B
+07DA001,1,1970/01/29,140,B
+07DA001,1,1970/01/30,141,B
+07DA001,1,1970/01/31,142,B
+07DA001,1,1970/02/01,143,B
+07DA001,1,1970/02/02,144,B
+07DA001,1,1970/02/03,144,B
+07DA001,1,1970/02/04,145,B
+07DA001,1,1970/02/05,146,B
+07DA001,1,1970/02/06,147,B
+07DA001,1,1970/02/07,148,B
+07DA001,1,1970/02/08,148,B
+07DA001,1,1970/02/09,149,B
+07DA001,1,1970/02/10,150,B
+07DA001,1,1970/02/11,150,B
+07DA001,1,1970/02/12,151,B
+07DA001,1,1970/02/13,152,B
+07DA001,1,1970/02/14,153,B
+07DA001,1,1970/02/15,153,B
+07DA001,1,1970/02/16,154,B
+07DA001,1,1970/02/17,155,B
+07DA001,1,1970/02/18,155,B
+07DA001,1,1970/02/19,155,B
+07DA001,1,1970/02/20,154,B
+07DA001,1,1970/02/21,154,B
+07DA001,1,1970/02/22,155,B
+07DA001,1,1970/02/23,151,B
+07DA001,1,1970/02/24,152,B
+07DA001,1,1970/02/25,152,B
+07DA001,1,1970/02/26,153,B
+07DA001,1,1970/02/27,154,B
+07DA001,1,1970/02/28,154,B
+07DA001,1,1970/03/01,155,B
+07DA001,1,1970/03/02,156,B
+07DA001,1,1970/03/03,158,B
+07DA001,1,1970/03/04,159,B
+07DA001,1,1970/03/05,160,B
+07DA001,1,1970/03/06,160,B
+07DA001,1,1970/03/07,159,B
+07DA001,1,1970/03/08,158,B
+07DA001,1,1970/03/09,154,B
+07DA001,1,1970/03/10,153,B
+07DA001,1,1970/03/11,151,B
+07DA001,1,1970/03/12,148,B
+07DA001,1,1970/03/13,145,B
+07DA001,1,1970/03/14,142,B
+07DA001,1,1970/03/15,137,B
+07DA001,1,1970/03/16,139,B
+07DA001,1,1970/03/17,142,B
+07DA001,1,1970/03/18,143,B
+07DA001,1,1970/03/19,146,B
+07DA001,1,1970/03/20,148,B
+07DA001,1,1970/03/21,148,B
+07DA001,1,1970/03/22,148,B
+07DA001,1,1970/03/23,153,B
+07DA001,1,1970/03/24,154,B
+07DA001,1,1970/03/25,153,B
+07DA001,1,1970/03/26,155,B
+07DA001,1,1970/03/27,153,B
+07DA001,1,1970/03/28,155,B
+07DA001,1,1970/03/29,159,B
+07DA001,1,1970/03/30,163,B
+07DA001,1,1970/03/31,163,B
+07DA001,1,1970/04/01,165,B
+07DA001,1,1970/04/02,168,B
+07DA001,1,1970/04/03,167,B
+07DA001,1,1970/04/04,173,B
+07DA001,1,1970/04/05,174,B
+07DA001,1,1970/04/06,174,B
+07DA001,1,1970/04/07,175,B
+07DA001,1,1970/04/08,178,B
+07DA001,1,1970/04/09,194,B
+07DA001,1,1970/04/10,214,B
+07DA001,1,1970/04/11,238,B
+07DA001,1,1970/04/12,264,B
+07DA001,1,1970/04/13,294,B
+07DA001,1,1970/04/14,365,B
+07DA001,1,1970/04/15,501,B
+07DA001,1,1970/04/16,595,B
+07DA001,1,1970/04/17,685,B
+07DA001,1,1970/04/18,858,B
+07DA001,1,1970/04/19,895,B
+07DA001,1,1970/04/20,1010,B
+07DA001,1,1970/04/21,1240,B
+07DA001,1,1970/04/22,1290,B
+07DA001,1,1970/04/23,1140,B
+07DA001,1,1970/04/24,946,B
+07DA001,1,1970/04/25,966,B
+07DA001,1,1970/04/26,1010,B
+07DA001,1,1970/04/27,892,B
+07DA001,1,1970/04/28,858,B
+07DA001,1,1970/04/29,909,B
+07DA001,1,1970/04/30,966,B
+07DA001,1,1970/05/01,966,B
+07DA001,1,1970/05/02,966,B
+07DA001,1,1970/05/03,912,
+07DA001,1,1970/05/04,912,
+07DA001,1,1970/05/05,867,
+07DA001,1,1970/05/06,847,
+07DA001,1,1970/05/07,841,
+07DA001,1,1970/05/08,867,
+07DA001,1,1970/05/09,886,
+07DA001,1,1970/05/10,892,
+07DA001,1,1970/05/11,892,
+07DA001,1,1970/05/12,881,
+07DA001,1,1970/05/13,864,
+07DA001,1,1970/05/14,852,
+07DA001,1,1970/05/15,875,
+07DA001,1,1970/05/16,903,
+07DA001,1,1970/05/17,980,
+07DA001,1,1970/05/18,991,
+07DA001,1,1970/05/19,980,
+07DA001,1,1970/05/20,949,
+07DA001,1,1970/05/21,912,
+07DA001,1,1970/05/22,889,
+07DA001,1,1970/05/23,934,
+07DA001,1,1970/05/24,966,
+07DA001,1,1970/05/25,932,
+07DA001,1,1970/05/26,900,
+07DA001,1,1970/05/27,889,
+07DA001,1,1970/05/28,881,
+07DA001,1,1970/05/29,898,
+07DA001,1,1970/05/30,917,
+07DA001,1,1970/05/31,923,
+07DA001,1,1970/06/01,980,
+07DA001,1,1970/06/02,1010,
+07DA001,1,1970/06/03,946,
+07DA001,1,1970/06/04,864,
+07DA001,1,1970/06/05,796,
+07DA001,1,1970/06/06,739,
+07DA001,1,1970/06/07,714,
+07DA001,1,1970/06/08,796,
+07DA001,1,1970/06/09,1060,
+07DA001,1,1970/06/10,1170,
+07DA001,1,1970/06/11,1130,
+07DA001,1,1970/06/12,1090,
+07DA001,1,1970/06/13,1100,
+07DA001,1,1970/06/14,1140,
+07DA001,1,1970/06/15,1120,
+07DA001,1,1970/06/16,1120,
+07DA001,1,1970/06/17,1080,
+07DA001,1,1970/06/18,1010,
+07DA001,1,1970/06/19,997,
+07DA001,1,1970/06/20,1230,
+07DA001,1,1970/06/21,1780,
+07DA001,1,1970/06/22,1650,
+07DA001,1,1970/06/23,1570,
+07DA001,1,1970/06/24,1540,
+07DA001,1,1970/06/25,1520,
+07DA001,1,1970/06/26,1470,
+07DA001,1,1970/06/27,1460,
+07DA001,1,1970/06/28,1460,
+07DA001,1,1970/06/29,1610,
+07DA001,1,1970/06/30,2110,
+07DA001,1,1970/07/01,2670,
+07DA001,1,1970/07/02,3650,
+07DA001,1,1970/07/03,3850,
+07DA001,1,1970/07/04,3480,
+07DA001,1,1970/07/05,3140,
+07DA001,1,1970/07/06,2830,
+07DA001,1,1970/07/07,2550,
+07DA001,1,1970/07/08,2320,
+07DA001,1,1970/07/09,2150,
+07DA001,1,1970/07/10,2040,
+07DA001,1,1970/07/11,2010,
+07DA001,1,1970/07/12,1980,
+07DA001,1,1970/07/13,1930,
+07DA001,1,1970/07/14,1880,
+07DA001,1,1970/07/15,1790,
+07DA001,1,1970/07/16,1680,
+07DA001,1,1970/07/17,1570,
+07DA001,1,1970/07/18,1460,
+07DA001,1,1970/07/19,1350,
+07DA001,1,1970/07/20,1270,
+07DA001,1,1970/07/21,1230,
+07DA001,1,1970/07/22,1230,
+07DA001,1,1970/07/23,1240,
+07DA001,1,1970/07/24,1240,
+07DA001,1,1970/07/25,1230,
+07DA001,1,1970/07/26,1220,
+07DA001,1,1970/07/27,1190,
+07DA001,1,1970/07/28,1140,
+07DA001,1,1970/07/29,1100,
+07DA001,1,1970/07/30,1060,
+07DA001,1,1970/07/31,1170,
+07DA001,1,1970/08/01,1380,
+07DA001,1,1970/08/02,1450,
+07DA001,1,1970/08/03,1440,
+07DA001,1,1970/08/04,1380,
+07DA001,1,1970/08/05,1290,
+07DA001,1,1970/08/06,1190,
+07DA001,1,1970/08/07,1110,
+07DA001,1,1970/08/08,1070,
+07DA001,1,1970/08/09,1030,
+07DA001,1,1970/08/10,1020,
+07DA001,1,1970/08/11,1010,
+07DA001,1,1970/08/12,983,
+07DA001,1,1970/08/13,963,
+07DA001,1,1970/08/14,943,
+07DA001,1,1970/08/15,912,
+07DA001,1,1970/08/16,858,
+07DA001,1,1970/08/17,807,
+07DA001,1,1970/08/18,790,
+07DA001,1,1970/08/19,784,
+07DA001,1,1970/08/20,787,
+07DA001,1,1970/08/21,765,
+07DA001,1,1970/08/22,719,
+07DA001,1,1970/08/23,697,
+07DA001,1,1970/08/24,685,
+07DA001,1,1970/08/25,648,
+07DA001,1,1970/08/26,623,
+07DA001,1,1970/08/27,614,
+07DA001,1,1970/08/28,614,
+07DA001,1,1970/08/29,620,
+07DA001,1,1970/08/30,637,
+07DA001,1,1970/08/31,657,
+07DA001,1,1970/09/01,674,
+07DA001,1,1970/09/02,728,
+07DA001,1,1970/09/03,767,
+07DA001,1,1970/09/04,827,
+07DA001,1,1970/09/05,847,
+07DA001,1,1970/09/06,838,
+07DA001,1,1970/09/07,827,
+07DA001,1,1970/09/08,818,
+07DA001,1,1970/09/09,813,
+07DA001,1,1970/09/10,799,
+07DA001,1,1970/09/11,770,
+07DA001,1,1970/09/12,736,
+07DA001,1,1970/09/13,699,
+07DA001,1,1970/09/14,668,
+07DA001,1,1970/09/15,640,
+07DA001,1,1970/09/16,626,
+07DA001,1,1970/09/17,612,
+07DA001,1,1970/09/18,597,
+07DA001,1,1970/09/19,589,
+07DA001,1,1970/09/20,575,
+07DA001,1,1970/09/21,564,
+07DA001,1,1970/09/22,549,
+07DA001,1,1970/09/23,564,
+07DA001,1,1970/09/24,643,
+07DA001,1,1970/09/25,733,
+07DA001,1,1970/09/26,773,
+07DA001,1,1970/09/27,784,
+07DA001,1,1970/09/28,787,
+07DA001,1,1970/09/29,773,
+07DA001,1,1970/09/30,753,
+07DA001,1,1970/10/01,728,
+07DA001,1,1970/10/02,708,
+07DA001,1,1970/10/03,691,
+07DA001,1,1970/10/04,674,
+07DA001,1,1970/10/05,660,
+07DA001,1,1970/10/06,640,
+07DA001,1,1970/10/07,623,
+07DA001,1,1970/10/08,606,
+07DA001,1,1970/10/09,586,
+07DA001,1,1970/10/10,575,
+07DA001,1,1970/10/11,575,
+07DA001,1,1970/10/12,566,
+07DA001,1,1970/10/13,564,
+07DA001,1,1970/10/14,564,
+07DA001,1,1970/10/15,558,
+07DA001,1,1970/10/16,547,
+07DA001,1,1970/10/17,541,
+07DA001,1,1970/10/18,532,
+07DA001,1,1970/10/19,527,
+07DA001,1,1970/10/20,515,
+07DA001,1,1970/10/21,513,
+07DA001,1,1970/10/22,510,
+07DA001,1,1970/10/23,507,
+07DA001,1,1970/10/24,504,
+07DA001,1,1970/10/25,501,
+07DA001,1,1970/10/26,504,
+07DA001,1,1970/10/27,507,
+07DA001,1,1970/10/28,498,
+07DA001,1,1970/10/29,496,
+07DA001,1,1970/10/30,496,
+07DA001,1,1970/10/31,493,
+07DA001,1,1970/11/01,496,
+07DA001,1,1970/11/02,496,
+07DA001,1,1970/11/03,487,
+07DA001,1,1970/11/04,459,B
+07DA001,1,1970/11/05,450,B
+07DA001,1,1970/11/06,442,B
+07DA001,1,1970/11/07,430,B
+07DA001,1,1970/11/08,433,B
+07DA001,1,1970/11/09,419,B
+07DA001,1,1970/11/10,396,B
+07DA001,1,1970/11/11,379,B
+07DA001,1,1970/11/12,374,B
+07DA001,1,1970/11/13,340,B
+07DA001,1,1970/11/14,292,B
+07DA001,1,1970/11/15,242,B
+07DA001,1,1970/11/16,244,B
+07DA001,1,1970/11/17,200,B
+07DA001,1,1970/11/18,212,B
+07DA001,1,1970/11/19,215,B
+07DA001,1,1970/11/20,198,B
+07DA001,1,1970/11/21,171,B
+07DA001,1,1970/11/22,153,B
+07DA001,1,1970/11/23,120,B
+07DA001,1,1970/11/24,105,B
+07DA001,1,1970/11/25,106,B
+07DA001,1,1970/11/26,104,B
+07DA001,1,1970/11/27,105,B
+07DA001,1,1970/11/28,115,B
+07DA001,1,1970/11/29,164,B
+07DA001,1,1970/11/30,175,B
+07DA001,1,1970/12/01,182,B
+07DA001,1,1970/12/02,185,B
+07DA001,1,1970/12/03,182,B
+07DA001,1,1970/12/04,177,B
+07DA001,1,1970/12/05,174,B
+07DA001,1,1970/12/06,171,B
+07DA001,1,1970/12/07,165,B
+07DA001,1,1970/12/08,162,B
+07DA001,1,1970/12/09,164,B
+07DA001,1,1970/12/10,177,B
+07DA001,1,1970/12/11,184,B
+07DA001,1,1970/12/12,187,B
+07DA001,1,1970/12/13,193,B
+07DA001,1,1970/12/14,197,B
+07DA001,1,1970/12/15,197,B
+07DA001,1,1970/12/16,195,B
+07DA001,1,1970/12/17,189,B
+07DA001,1,1970/12/18,183,B
+07DA001,1,1970/12/19,183,B
+07DA001,1,1970/12/20,182,B
+07DA001,1,1970/12/21,182,B
+07DA001,1,1970/12/22,181,B
+07DA001,1,1970/12/23,181,B
+07DA001,1,1970/12/24,180,B
+07DA001,1,1970/12/25,177,B
+07DA001,1,1970/12/26,174,B
+07DA001,1,1970/12/27,172,B
+07DA001,1,1970/12/28,170,B
+07DA001,1,1970/12/29,165,B
+07DA001,1,1970/12/30,163,B
+07DA001,1,1970/12/31,158,B
+07DA001,1,1971/01/01,157,B
+07DA001,1,1971/01/02,157,B
+07DA001,1,1971/01/03,156,B
+07DA001,1,1971/01/04,155,B
+07DA001,1,1971/01/05,155,B
+07DA001,1,1971/01/06,155,B
+07DA001,1,1971/01/07,156,B
+07DA001,1,1971/01/08,156,B
+07DA001,1,1971/01/09,156,B
+07DA001,1,1971/01/10,155,B
+07DA001,1,1971/01/11,153,B
+07DA001,1,1971/01/12,151,B
+07DA001,1,1971/01/13,151,B
+07DA001,1,1971/01/14,151,B
+07DA001,1,1971/01/15,151,B
+07DA001,1,1971/01/16,151,B
+07DA001,1,1971/01/17,151,B
+07DA001,1,1971/01/18,152,B
+07DA001,1,1971/01/19,152,B
+07DA001,1,1971/01/20,154,B
+07DA001,1,1971/01/21,154,B
+07DA001,1,1971/01/22,153,B
+07DA001,1,1971/01/23,152,B
+07DA001,1,1971/01/24,153,B
+07DA001,1,1971/01/25,154,B
+07DA001,1,1971/01/26,156,B
+07DA001,1,1971/01/27,157,B
+07DA001,1,1971/01/28,157,B
+07DA001,1,1971/01/29,156,B
+07DA001,1,1971/01/30,155,B
+07DA001,1,1971/01/31,154,B
+07DA001,1,1971/02/01,153,B
+07DA001,1,1971/02/02,152,B
+07DA001,1,1971/02/03,151,B
+07DA001,1,1971/02/04,150,B
+07DA001,1,1971/02/05,147,B
+07DA001,1,1971/02/06,147,B
+07DA001,1,1971/02/07,145,B
+07DA001,1,1971/02/08,144,B
+07DA001,1,1971/02/09,143,B
+07DA001,1,1971/02/10,142,B
+07DA001,1,1971/02/11,142,B
+07DA001,1,1971/02/12,142,B
+07DA001,1,1971/02/13,142,B
+07DA001,1,1971/02/14,141,B
+07DA001,1,1971/02/15,141,B
+07DA001,1,1971/02/16,142,B
+07DA001,1,1971/02/17,143,B
+07DA001,1,1971/02/18,142,B
+07DA001,1,1971/02/19,142,B
+07DA001,1,1971/02/20,142,B
+07DA001,1,1971/02/21,142,B
+07DA001,1,1971/02/22,143,B
+07DA001,1,1971/02/23,143,B
+07DA001,1,1971/02/24,144,B
+07DA001,1,1971/02/25,146,B
+07DA001,1,1971/02/26,147,B
+07DA001,1,1971/02/27,148,B
+07DA001,1,1971/02/28,147,B
+07DA001,1,1971/03/01,148,B
+07DA001,1,1971/03/02,150,B
+07DA001,1,1971/03/03,148,B
+07DA001,1,1971/03/04,148,B
+07DA001,1,1971/03/05,145,B
+07DA001,1,1971/03/06,143,B
+07DA001,1,1971/03/07,142,B
+07DA001,1,1971/03/08,141,B
+07DA001,1,1971/03/09,142,B
+07DA001,1,1971/03/10,142,B
+07DA001,1,1971/03/11,141,B
+07DA001,1,1971/03/12,142,B
+07DA001,1,1971/03/13,140,B
+07DA001,1,1971/03/14,138,B
+07DA001,1,1971/03/15,138,B
+07DA001,1,1971/03/16,138,B
+07DA001,1,1971/03/17,139,B
+07DA001,1,1971/03/18,139,B
+07DA001,1,1971/03/19,139,B
+07DA001,1,1971/03/20,142,B
+07DA001,1,1971/03/21,144,B
+07DA001,1,1971/03/22,146,B
+07DA001,1,1971/03/23,147,B
+07DA001,1,1971/03/24,150,B
+07DA001,1,1971/03/25,150,B
+07DA001,1,1971/03/26,151,B
+07DA001,1,1971/03/27,151,B
+07DA001,1,1971/03/28,148,B
+07DA001,1,1971/03/29,147,B
+07DA001,1,1971/03/30,144,B
+07DA001,1,1971/03/31,143,B
+07DA001,1,1971/04/01,142,B
+07DA001,1,1971/04/02,143,B
+07DA001,1,1971/04/03,142,B
+07DA001,1,1971/04/04,140,B
+07DA001,1,1971/04/05,142,B
+07DA001,1,1971/04/06,144,B
+07DA001,1,1971/04/07,150,B
+07DA001,1,1971/04/08,157,B
+07DA001,1,1971/04/09,159,B
+07DA001,1,1971/04/10,164,B
+07DA001,1,1971/04/11,167,B
+07DA001,1,1971/04/12,174,B
+07DA001,1,1971/04/13,177,B
+07DA001,1,1971/04/14,191,B
+07DA001,1,1971/04/15,234,B
+07DA001,1,1971/04/16,278,B
+07DA001,1,1971/04/17,320,B
+07DA001,1,1971/04/18,362,B
+07DA001,1,1971/04/19,442,B
+07DA001,1,1971/04/20,493,B
+07DA001,1,1971/04/21,513,B
+07DA001,1,1971/04/22,801,B
+07DA001,1,1971/04/23,1340,B
+07DA001,1,1971/04/24,1600,B
+07DA001,1,1971/04/25,1930,B
+07DA001,1,1971/04/26,2000,B
+07DA001,1,1971/04/27,1990,
+07DA001,1,1971/04/28,2070,
+07DA001,1,1971/04/29,2100,
+07DA001,1,1971/04/30,2040,
+07DA001,1,1971/05/01,1900,
+07DA001,1,1971/05/02,1770,
+07DA001,1,1971/05/03,1610,
+07DA001,1,1971/05/04,1540,
+07DA001,1,1971/05/05,1450,
+07DA001,1,1971/05/06,1380,
+07DA001,1,1971/05/07,1320,
+07DA001,1,1971/05/08,1310,
+07DA001,1,1971/05/09,1250,
+07DA001,1,1971/05/10,1230,
+07DA001,1,1971/05/11,1180,
+07DA001,1,1971/05/12,1130,
+07DA001,1,1971/05/13,1090,
+07DA001,1,1971/05/14,1040,
+07DA001,1,1971/05/15,1000,
+07DA001,1,1971/05/16,946,
+07DA001,1,1971/05/17,900,
+07DA001,1,1971/05/18,883,
+07DA001,1,1971/05/19,977,
+07DA001,1,1971/05/20,980,
+07DA001,1,1971/05/21,906,
+07DA001,1,1971/05/22,844,
+07DA001,1,1971/05/23,787,
+07DA001,1,1971/05/24,745,
+07DA001,1,1971/05/25,711,
+07DA001,1,1971/05/26,688,
+07DA001,1,1971/05/27,680,
+07DA001,1,1971/05/28,691,
+07DA001,1,1971/05/29,716,
+07DA001,1,1971/05/30,765,
+07DA001,1,1971/05/31,824,
+07DA001,1,1971/06/01,872,
+07DA001,1,1971/06/02,926,
+07DA001,1,1971/06/03,929,
+07DA001,1,1971/06/04,900,
+07DA001,1,1971/06/05,900,
+07DA001,1,1971/06/06,912,
+07DA001,1,1971/06/07,929,
+07DA001,1,1971/06/08,980,
+07DA001,1,1971/06/09,1080,
+07DA001,1,1971/06/10,1430,
+07DA001,1,1971/06/11,1770,
+07DA001,1,1971/06/12,1950,
+07DA001,1,1971/06/13,2560,
+07DA001,1,1971/06/14,2770,
+07DA001,1,1971/06/15,2390,
+07DA001,1,1971/06/16,2070,
+07DA001,1,1971/06/17,1940,
+07DA001,1,1971/06/18,2200,
+07DA001,1,1971/06/19,2300,
+07DA001,1,1971/06/20,2340,
+07DA001,1,1971/06/21,2390,
+07DA001,1,1971/06/22,2170,
+07DA001,1,1971/06/23,1910,
+07DA001,1,1971/06/24,1750,
+07DA001,1,1971/06/25,1670,
+07DA001,1,1971/06/26,1650,
+07DA001,1,1971/06/27,1790,
+07DA001,1,1971/06/28,2110,
+07DA001,1,1971/06/29,2380,
+07DA001,1,1971/06/30,2400,
+07DA001,1,1971/07/01,2310,
+07DA001,1,1971/07/02,2050,
+07DA001,1,1971/07/03,1910,
+07DA001,1,1971/07/04,1920,
+07DA001,1,1971/07/05,2050,
+07DA001,1,1971/07/06,2640,
+07DA001,1,1971/07/07,3340,
+07DA001,1,1971/07/08,3230,
+07DA001,1,1971/07/09,3110,
+07DA001,1,1971/07/10,3370,
+07DA001,1,1971/07/11,3510,
+07DA001,1,1971/07/12,3370,
+07DA001,1,1971/07/13,3450,
+07DA001,1,1971/07/14,4250,
+07DA001,1,1971/07/15,4700,
+07DA001,1,1971/07/16,4470,
+07DA001,1,1971/07/17,3820,
+07DA001,1,1971/07/18,3340,
+07DA001,1,1971/07/19,3000,
+07DA001,1,1971/07/20,2800,
+07DA001,1,1971/07/21,2600,
+07DA001,1,1971/07/22,2510,
+07DA001,1,1971/07/23,2180,
+07DA001,1,1971/07/24,2050,
+07DA001,1,1971/07/25,1960,
+07DA001,1,1971/07/26,1910,
+07DA001,1,1971/07/27,1870,
+07DA001,1,1971/07/28,1900,
+07DA001,1,1971/07/29,1900,
+07DA001,1,1971/07/30,1740,
+07DA001,1,1971/07/31,1590,
+07DA001,1,1971/08/01,1500,
+07DA001,1,1971/08/02,1450,
+07DA001,1,1971/08/03,1410,
+07DA001,1,1971/08/04,1340,
+07DA001,1,1971/08/05,1300,
+07DA001,1,1971/08/06,1310,
+07DA001,1,1971/08/07,1300,
+07DA001,1,1971/08/08,1300,
+07DA001,1,1971/08/09,1250,
+07DA001,1,1971/08/10,1220,
+07DA001,1,1971/08/11,1200,
+07DA001,1,1971/08/12,1190,
+07DA001,1,1971/08/13,1200,
+07DA001,1,1971/08/14,1180,
+07DA001,1,1971/08/15,1140,
+07DA001,1,1971/08/16,1090,
+07DA001,1,1971/08/17,1080,
+07DA001,1,1971/08/18,1070,
+07DA001,1,1971/08/19,1050,
+07DA001,1,1971/08/20,1020,
+07DA001,1,1971/08/21,988,
+07DA001,1,1971/08/22,960,
+07DA001,1,1971/08/23,920,
+07DA001,1,1971/08/24,883,
+07DA001,1,1971/08/25,852,
+07DA001,1,1971/08/26,827,
+07DA001,1,1971/08/27,824,
+07DA001,1,1971/08/28,824,
+07DA001,1,1971/08/29,821,
+07DA001,1,1971/08/30,776,
+07DA001,1,1971/08/31,736,
+07DA001,1,1971/09/01,750,
+07DA001,1,1971/09/02,759,
+07DA001,1,1971/09/03,736,
+07DA001,1,1971/09/04,733,
+07DA001,1,1971/09/05,728,
+07DA001,1,1971/09/06,739,
+07DA001,1,1971/09/07,745,
+07DA001,1,1971/09/08,719,
+07DA001,1,1971/09/09,674,
+07DA001,1,1971/09/10,640,
+07DA001,1,1971/09/11,617,
+07DA001,1,1971/09/12,609,
+07DA001,1,1971/09/13,640,
+07DA001,1,1971/09/14,631,
+07DA001,1,1971/09/15,623,
+07DA001,1,1971/09/16,654,
+07DA001,1,1971/09/17,640,
+07DA001,1,1971/09/18,691,
+07DA001,1,1971/09/19,680,
+07DA001,1,1971/09/20,648,
+07DA001,1,1971/09/21,617,
+07DA001,1,1971/09/22,592,
+07DA001,1,1971/09/23,575,
+07DA001,1,1971/09/24,564,
+07DA001,1,1971/09/25,569,
+07DA001,1,1971/09/26,569,
+07DA001,1,1971/09/27,575,
+07DA001,1,1971/09/28,566,
+07DA001,1,1971/09/29,561,
+07DA001,1,1971/09/30,564,
+07DA001,1,1971/10/01,600,
+07DA001,1,1971/10/02,640,
+07DA001,1,1971/10/03,654,
+07DA001,1,1971/10/04,643,
+07DA001,1,1971/10/05,623,
+07DA001,1,1971/10/06,609,
+07DA001,1,1971/10/07,606,
+07DA001,1,1971/10/08,606,
+07DA001,1,1971/10/09,606,
+07DA001,1,1971/10/10,597,
+07DA001,1,1971/10/11,595,
+07DA001,1,1971/10/12,597,
+07DA001,1,1971/10/13,612,
+07DA001,1,1971/10/14,631,
+07DA001,1,1971/10/15,620,
+07DA001,1,1971/10/16,597,
+07DA001,1,1971/10/17,578,
+07DA001,1,1971/10/18,564,
+07DA001,1,1971/10/19,552,
+07DA001,1,1971/10/20,544,
+07DA001,1,1971/10/21,535,
+07DA001,1,1971/10/22,527,
+07DA001,1,1971/10/23,515,
+07DA001,1,1971/10/24,504,
+07DA001,1,1971/10/25,498,
+07DA001,1,1971/10/26,487,B
+07DA001,1,1971/10/27,464,B
+07DA001,1,1971/10/28,436,B
+07DA001,1,1971/10/29,396,B
+07DA001,1,1971/10/30,362,B
+07DA001,1,1971/10/31,351,B
+07DA001,1,1971/11/01,348,B
+07DA001,1,1971/11/02,348,B
+07DA001,1,1971/11/03,292,B
+07DA001,1,1971/11/04,286,B
+07DA001,1,1971/11/05,286,B
+07DA001,1,1971/11/06,286,B
+07DA001,1,1971/11/07,283,B
+07DA001,1,1971/11/08,280,B
+07DA001,1,1971/11/09,276,B
+07DA001,1,1971/11/10,294,B
+07DA001,1,1971/11/11,311,B
+07DA001,1,1971/11/12,309,B
+07DA001,1,1971/11/13,311,B
+07DA001,1,1971/11/14,317,B
+07DA001,1,1971/11/15,311,B
+07DA001,1,1971/11/16,306,B
+07DA001,1,1971/11/17,300,B
+07DA001,1,1971/11/18,281,B
+07DA001,1,1971/11/19,280,B
+07DA001,1,1971/11/20,279,B
+07DA001,1,1971/11/21,279,B
+07DA001,1,1971/11/22,283,B
+07DA001,1,1971/11/23,283,B
+07DA001,1,1971/11/24,282,B
+07DA001,1,1971/11/25,241,B
+07DA001,1,1971/11/26,247,B
+07DA001,1,1971/11/27,245,B
+07DA001,1,1971/11/28,233,B
+07DA001,1,1971/11/29,249,B
+07DA001,1,1971/11/30,247,B
+07DA001,1,1971/12/01,244,B
+07DA001,1,1971/12/02,236,B
+07DA001,1,1971/12/03,231,B
+07DA001,1,1971/12/04,196,B
+07DA001,1,1971/12/05,182,B
+07DA001,1,1971/12/06,171,B
+07DA001,1,1971/12/07,157,B
+07DA001,1,1971/12/08,162,B
+07DA001,1,1971/12/09,176,B
+07DA001,1,1971/12/10,186,B
+07DA001,1,1971/12/11,184,B
+07DA001,1,1971/12/12,178,B
+07DA001,1,1971/12/13,175,B
+07DA001,1,1971/12/14,183,B
+07DA001,1,1971/12/15,178,B
+07DA001,1,1971/12/16,166,B
+07DA001,1,1971/12/17,162,B
+07DA001,1,1971/12/18,165,B
+07DA001,1,1971/12/19,164,B
+07DA001,1,1971/12/20,167,B
+07DA001,1,1971/12/21,164,B
+07DA001,1,1971/12/22,164,B
+07DA001,1,1971/12/23,167,B
+07DA001,1,1971/12/24,165,B
+07DA001,1,1971/12/25,164,B
+07DA001,1,1971/12/26,167,B
+07DA001,1,1971/12/27,169,B
+07DA001,1,1971/12/28,172,B
+07DA001,1,1971/12/29,175,B
+07DA001,1,1971/12/30,177,B
+07DA001,1,1971/12/31,180,B
+07DA001,1,1972/01/01,182,B
+07DA001,1,1972/01/02,185,B
+07DA001,1,1972/01/03,188,B
+07DA001,1,1972/01/04,190,B
+07DA001,1,1972/01/05,193,B
+07DA001,1,1972/01/06,195,B
+07DA001,1,1972/01/07,198,B
+07DA001,1,1972/01/08,201,B
+07DA001,1,1972/01/09,203,B
+07DA001,1,1972/01/10,206,B
+07DA001,1,1972/01/11,205,B
+07DA001,1,1972/01/12,204,B
+07DA001,1,1972/01/13,203,B
+07DA001,1,1972/01/14,202,B
+07DA001,1,1972/01/15,201,B
+07DA001,1,1972/01/16,200,B
+07DA001,1,1972/01/17,199,B
+07DA001,1,1972/01/18,199,B
+07DA001,1,1972/01/19,198,B
+07DA001,1,1972/01/20,197,B
+07DA001,1,1972/01/21,196,B
+07DA001,1,1972/01/22,195,B
+07DA001,1,1972/01/23,194,B
+07DA001,1,1972/01/24,193,B
+07DA001,1,1972/01/25,192,B
+07DA001,1,1972/01/26,191,B
+07DA001,1,1972/01/27,190,B
+07DA001,1,1972/01/28,189,B
+07DA001,1,1972/01/29,189,B
+07DA001,1,1972/01/30,188,B
+07DA001,1,1972/01/31,187,B
+07DA001,1,1972/02/01,186,B
+07DA001,1,1972/02/02,185,B
+07DA001,1,1972/02/03,184,B
+07DA001,1,1972/02/04,183,B
+07DA001,1,1972/02/05,182,B
+07DA001,1,1972/02/06,181,B
+07DA001,1,1972/02/07,180,B
+07DA001,1,1972/02/08,180,B
+07DA001,1,1972/02/09,178,B
+07DA001,1,1972/02/10,178,B
+07DA001,1,1972/02/11,177,B
+07DA001,1,1972/02/12,177,B
+07DA001,1,1972/02/13,171,B
+07DA001,1,1972/02/14,172,B
+07DA001,1,1972/02/15,178,B
+07DA001,1,1972/02/16,169,B
+07DA001,1,1972/02/17,165,B
+07DA001,1,1972/02/18,167,B
+07DA001,1,1972/02/19,168,B
+07DA001,1,1972/02/20,167,B
+07DA001,1,1972/02/21,166,B
+07DA001,1,1972/02/22,166,B
+07DA001,1,1972/02/23,165,B
+07DA001,1,1972/02/24,162,B
+07DA001,1,1972/02/25,158,B
+07DA001,1,1972/02/26,163,B
+07DA001,1,1972/02/27,159,B
+07DA001,1,1972/02/28,156,B
+07DA001,1,1972/02/29,155,B
+07DA001,1,1972/03/01,157,B
+07DA001,1,1972/03/02,156,B
+07DA001,1,1972/03/03,155,B
+07DA001,1,1972/03/04,153,B
+07DA001,1,1972/03/05,157,B
+07DA001,1,1972/03/06,160,B
+07DA001,1,1972/03/07,164,B
+07DA001,1,1972/03/08,167,B
+07DA001,1,1972/03/09,170,B
+07DA001,1,1972/03/10,174,B
+07DA001,1,1972/03/11,177,B
+07DA001,1,1972/03/12,180,B
+07DA001,1,1972/03/13,184,B
+07DA001,1,1972/03/14,187,B
+07DA001,1,1972/03/15,191,B
+07DA001,1,1972/03/16,194,B
+07DA001,1,1972/03/17,197,B
+07DA001,1,1972/03/18,201,B
+07DA001,1,1972/03/19,204,B
+07DA001,1,1972/03/20,208,B
+07DA001,1,1972/03/21,211,B
+07DA001,1,1972/03/22,214,B
+07DA001,1,1972/03/23,217,B
+07DA001,1,1972/03/24,221,B
+07DA001,1,1972/03/25,224,B
+07DA001,1,1972/03/26,228,B
+07DA001,1,1972/03/27,231,B
+07DA001,1,1972/03/28,234,B
+07DA001,1,1972/03/29,238,B
+07DA001,1,1972/03/30,241,B
+07DA001,1,1972/03/31,245,B
+07DA001,1,1972/04/01,248,B
+07DA001,1,1972/04/02,251,B
+07DA001,1,1972/04/03,255,B
+07DA001,1,1972/04/04,258,B
+07DA001,1,1972/04/05,261,B
+07DA001,1,1972/04/06,265,B
+07DA001,1,1972/04/07,268,B
+07DA001,1,1972/04/08,286,B
+07DA001,1,1972/04/09,300,B
+07DA001,1,1972/04/10,309,B
+07DA001,1,1972/04/11,326,B
+07DA001,1,1972/04/12,309,B
+07DA001,1,1972/04/13,289,B
+07DA001,1,1972/04/14,439,B
+07DA001,1,1972/04/15,428,B
+07DA001,1,1972/04/16,413,B
+07DA001,1,1972/04/17,479,B
+07DA001,1,1972/04/18,606,B
+07DA001,1,1972/04/19,651,B
+07DA001,1,1972/04/20,674,B
+07DA001,1,1972/04/21,711,B
+07DA001,1,1972/04/22,753,B
+07DA001,1,1972/04/23,779,B
+07DA001,1,1972/04/24,804,B
+07DA001,1,1972/04/25,711,B
+07DA001,1,1972/04/26,739,B
+07DA001,1,1972/04/27,838,B
+07DA001,1,1972/04/28,864,B
+07DA001,1,1972/04/29,991,B
+07DA001,1,1972/04/30,1320,B
+07DA001,1,1972/05/01,1610,B
+07DA001,1,1972/05/02,1840,B
+07DA001,1,1972/05/03,1900,B
+07DA001,1,1972/05/04,1930,B
+07DA001,1,1972/05/05,1910,B
+07DA001,1,1972/05/06,1900,B
+07DA001,1,1972/05/07,1880,B
+07DA001,1,1972/05/08,1840,A
+07DA001,1,1972/05/09,1840,
+07DA001,1,1972/05/10,1790,
+07DA001,1,1972/05/11,1730,
+07DA001,1,1972/05/12,1660,
+07DA001,1,1972/05/13,1600,
+07DA001,1,1972/05/14,1570,
+07DA001,1,1972/05/15,1550,
+07DA001,1,1972/05/16,1510,
+07DA001,1,1972/05/17,1490,
+07DA001,1,1972/05/18,1500,
+07DA001,1,1972/05/19,1500,
+07DA001,1,1972/05/20,1510,
+07DA001,1,1972/05/21,1550,
+07DA001,1,1972/05/22,1930,
+07DA001,1,1972/05/23,2010,
+07DA001,1,1972/05/24,1850,
+07DA001,1,1972/05/25,1750,
+07DA001,1,1972/05/26,1760,
+07DA001,1,1972/05/27,1790,
+07DA001,1,1972/05/28,1730,
+07DA001,1,1972/05/29,1610,
+07DA001,1,1972/05/30,1480,
+07DA001,1,1972/05/31,1360,
+07DA001,1,1972/06/01,1290,
+07DA001,1,1972/06/02,1260,
+07DA001,1,1972/06/03,1340,
+07DA001,1,1972/06/04,1480,
+07DA001,1,1972/06/05,1640,
+07DA001,1,1972/06/06,1720,
+07DA001,1,1972/06/07,1580,
+07DA001,1,1972/06/08,1400,
+07DA001,1,1972/06/09,1290,
+07DA001,1,1972/06/10,1230,
+07DA001,1,1972/06/11,1220,
+07DA001,1,1972/06/12,1290,
+07DA001,1,1972/06/13,1370,
+07DA001,1,1972/06/14,1440,
+07DA001,1,1972/06/15,1830,
+07DA001,1,1972/06/16,2490,
+07DA001,1,1972/06/17,2720,
+07DA001,1,1972/06/18,2460,
+07DA001,1,1972/06/19,2250,
+07DA001,1,1972/06/20,2150,
+07DA001,1,1972/06/21,2180,
+07DA001,1,1972/06/22,2130,
+07DA001,1,1972/06/23,1960,
+07DA001,1,1972/06/24,1800,
+07DA001,1,1972/06/25,1710,
+07DA001,1,1972/06/26,1800,
+07DA001,1,1972/06/27,1900,
+07DA001,1,1972/06/28,2080,
+07DA001,1,1972/06/29,3280,
+07DA001,1,1972/06/30,3620,
+07DA001,1,1972/07/01,3060,
+07DA001,1,1972/07/02,2600,
+07DA001,1,1972/07/03,2400,
+07DA001,1,1972/07/04,2290,
+07DA001,1,1972/07/05,2060,
+07DA001,1,1972/07/06,1820,
+07DA001,1,1972/07/07,1630,
+07DA001,1,1972/07/08,1490,
+07DA001,1,1972/07/09,1420,
+07DA001,1,1972/07/10,1400,
+07DA001,1,1972/07/11,1390,
+07DA001,1,1972/07/12,1410,
+07DA001,1,1972/07/13,1530,
+07DA001,1,1972/07/14,1590,
+07DA001,1,1972/07/15,1530,
+07DA001,1,1972/07/16,1400,
+07DA001,1,1972/07/17,1290,
+07DA001,1,1972/07/18,1210,
+07DA001,1,1972/07/19,1190,
+07DA001,1,1972/07/20,1180,
+07DA001,1,1972/07/21,1140,
+07DA001,1,1972/07/22,1100,
+07DA001,1,1972/07/23,1070,
+07DA001,1,1972/07/24,1080,
+07DA001,1,1972/07/25,1060,
+07DA001,1,1972/07/26,1010,
+07DA001,1,1972/07/27,980,
+07DA001,1,1972/07/28,963,
+07DA001,1,1972/07/29,985,
+07DA001,1,1972/07/30,1100,
+07DA001,1,1972/07/31,1160,
+07DA001,1,1972/08/01,1140,
+07DA001,1,1972/08/02,1130,
+07DA001,1,1972/08/03,1100,
+07DA001,1,1972/08/04,1080,
+07DA001,1,1972/08/05,1040,
+07DA001,1,1972/08/06,1030,
+07DA001,1,1972/08/07,1010,
+07DA001,1,1972/08/08,974,
+07DA001,1,1972/08/09,960,
+07DA001,1,1972/08/10,946,
+07DA001,1,1972/08/11,923,
+07DA001,1,1972/08/12,915,
+07DA001,1,1972/08/13,946,
+07DA001,1,1972/08/14,1000,
+07DA001,1,1972/08/15,1050,
+07DA001,1,1972/08/16,1070,
+07DA001,1,1972/08/17,1030,
+07DA001,1,1972/08/18,968,
+07DA001,1,1972/08/19,912,
+07DA001,1,1972/08/20,864,
+07DA001,1,1972/08/21,824,
+07DA001,1,1972/08/22,813,
+07DA001,1,1972/08/23,835,
+07DA001,1,1972/08/24,810,
+07DA001,1,1972/08/25,770,
+07DA001,1,1972/08/26,731,
+07DA001,1,1972/08/27,705,
+07DA001,1,1972/08/28,699,
+07DA001,1,1972/08/29,711,
+07DA001,1,1972/08/30,688,
+07DA001,1,1972/08/31,668,
+07DA001,1,1972/09/01,665,
+07DA001,1,1972/09/02,660,
+07DA001,1,1972/09/03,660,
+07DA001,1,1972/09/04,660,
+07DA001,1,1972/09/05,680,
+07DA001,1,1972/09/06,688,
+07DA001,1,1972/09/07,646,
+07DA001,1,1972/09/08,606,
+07DA001,1,1972/09/09,583,
+07DA001,1,1972/09/10,569,
+07DA001,1,1972/09/11,566,
+07DA001,1,1972/09/12,614,
+07DA001,1,1972/09/13,643,
+07DA001,1,1972/09/14,634,
+07DA001,1,1972/09/15,609,
+07DA001,1,1972/09/16,600,
+07DA001,1,1972/09/17,597,
+07DA001,1,1972/09/18,589,
+07DA001,1,1972/09/19,575,
+07DA001,1,1972/09/20,572,
+07DA001,1,1972/09/21,558,
+07DA001,1,1972/09/22,558,
+07DA001,1,1972/09/23,566,E
+07DA001,1,1972/09/24,575,A
+07DA001,1,1972/09/25,572,
+07DA001,1,1972/09/26,572,
+07DA001,1,1972/09/27,572,
+07DA001,1,1972/09/28,572,
+07DA001,1,1972/09/29,566,
+07DA001,1,1972/09/30,558,
+07DA001,1,1972/10/01,552,
+07DA001,1,1972/10/02,547,
+07DA001,1,1972/10/03,541,
+07DA001,1,1972/10/04,535,
+07DA001,1,1972/10/05,530,A
+07DA001,1,1972/10/06,572,E
+07DA001,1,1972/10/07,614,E
+07DA001,1,1972/10/08,657,
+07DA001,1,1972/10/09,657,
+07DA001,1,1972/10/10,657,
+07DA001,1,1972/10/11,646,
+07DA001,1,1972/10/12,631,
+07DA001,1,1972/10/13,614,
+07DA001,1,1972/10/14,614,
+07DA001,1,1972/10/15,614,
+07DA001,1,1972/10/16,614,
+07DA001,1,1972/10/17,614,
+07DA001,1,1972/10/18,614,
+07DA001,1,1972/10/19,614,
+07DA001,1,1972/10/20,614,
+07DA001,1,1972/10/21,592,
+07DA001,1,1972/10/22,578,
+07DA001,1,1972/10/23,586,
+07DA001,1,1972/10/24,578,
+07DA001,1,1972/10/25,580,
+07DA001,1,1972/10/26,569,
+07DA001,1,1972/10/27,532,
+07DA001,1,1972/10/28,527,
+07DA001,1,1972/10/29,541,
+07DA001,1,1972/10/30,552,
+07DA001,1,1972/10/31,538,
+07DA001,1,1972/11/01,521,
+07DA001,1,1972/11/02,538,
+07DA001,1,1972/11/03,513,
+07DA001,1,1972/11/04,521,
+07DA001,1,1972/11/05,504,
+07DA001,1,1972/11/06,530,B
+07DA001,1,1972/11/07,479,B
+07DA001,1,1972/11/08,439,B
+07DA001,1,1972/11/09,462,B
+07DA001,1,1972/11/10,436,B
+07DA001,1,1972/11/11,396,B
+07DA001,1,1972/11/12,368,B
+07DA001,1,1972/11/13,340,B
+07DA001,1,1972/11/14,323,B
+07DA001,1,1972/11/15,309,B
+07DA001,1,1972/11/16,286,B
+07DA001,1,1972/11/17,281,B
+07DA001,1,1972/11/18,289,B
+07DA001,1,1972/11/19,306,B
+07DA001,1,1972/11/20,272,B
+07DA001,1,1972/11/21,255,B
+07DA001,1,1972/11/22,214,B
+07DA001,1,1972/11/23,188,B
+07DA001,1,1972/11/24,186,B
+07DA001,1,1972/11/25,173,B
+07DA001,1,1972/11/26,163,B
+07DA001,1,1972/11/27,168,B
+07DA001,1,1972/11/28,147,B
+07DA001,1,1972/11/29,152,B
+07DA001,1,1972/11/30,201,B
+07DA001,1,1972/12/01,199,B
+07DA001,1,1972/12/02,167,B
+07DA001,1,1972/12/03,169,B
+07DA001,1,1972/12/04,165,B
+07DA001,1,1972/12/05,181,B
+07DA001,1,1972/12/06,174,B
+07DA001,1,1972/12/07,192,B
+07DA001,1,1972/12/08,208,B
+07DA001,1,1972/12/09,191,B
+07DA001,1,1972/12/10,172,B
+07DA001,1,1972/12/11,154,B
+07DA001,1,1972/12/12,160,B
+07DA001,1,1972/12/13,163,B
+07DA001,1,1972/12/14,157,B
+07DA001,1,1972/12/15,156,B
+07DA001,1,1972/12/16,154,B
+07DA001,1,1972/12/17,151,B
+07DA001,1,1972/12/18,157,B
+07DA001,1,1972/12/19,161,B
+07DA001,1,1972/12/20,171,B
+07DA001,1,1972/12/21,186,B
+07DA001,1,1972/12/22,197,B
+07DA001,1,1972/12/23,206,B
+07DA001,1,1972/12/24,211,B
+07DA001,1,1972/12/25,217,B
+07DA001,1,1972/12/26,221,B
+07DA001,1,1972/12/27,221,B
+07DA001,1,1972/12/28,219,B
+07DA001,1,1972/12/29,217,B
+07DA001,1,1972/12/30,219,B
+07DA001,1,1972/12/31,227,B
+07DA001,1,1973/01/01,232,B
+07DA001,1,1973/01/02,234,B
+07DA001,1,1973/01/03,229,B
+07DA001,1,1973/01/04,223,B
+07DA001,1,1973/01/05,213,B
+07DA001,1,1973/01/06,209,B
+07DA001,1,1973/01/07,206,B
+07DA001,1,1973/01/08,208,B
+07DA001,1,1973/01/09,199,B
+07DA001,1,1973/01/10,191,B
+07DA001,1,1973/01/11,188,B
+07DA001,1,1973/01/12,188,B
+07DA001,1,1973/01/13,187,B
+07DA001,1,1973/01/14,186,B
+07DA001,1,1973/01/15,185,B
+07DA001,1,1973/01/16,179,B
+07DA001,1,1973/01/17,174,B
+07DA001,1,1973/01/18,173,B
+07DA001,1,1973/01/19,172,B
+07DA001,1,1973/01/20,172,B
+07DA001,1,1973/01/21,172,B
+07DA001,1,1973/01/22,174,B
+07DA001,1,1973/01/23,176,B
+07DA001,1,1973/01/24,178,B
+07DA001,1,1973/01/25,178,B
+07DA001,1,1973/01/26,178,B
+07DA001,1,1973/01/27,182,B
+07DA001,1,1973/01/28,187,B
+07DA001,1,1973/01/29,187,B
+07DA001,1,1973/01/30,187,B
+07DA001,1,1973/01/31,186,B
+07DA001,1,1973/02/01,185,B
+07DA001,1,1973/02/02,184,B
+07DA001,1,1973/02/03,183,B
+07DA001,1,1973/02/04,182,B
+07DA001,1,1973/02/05,181,B
+07DA001,1,1973/02/06,180,B
+07DA001,1,1973/02/07,179,B
+07DA001,1,1973/02/08,178,B
+07DA001,1,1973/02/09,177,B
+07DA001,1,1973/02/10,176,B
+07DA001,1,1973/02/11,175,B
+07DA001,1,1973/02/12,174,B
+07DA001,1,1973/02/13,173,B
+07DA001,1,1973/02/14,172,B
+07DA001,1,1973/02/15,171,B
+07DA001,1,1973/02/16,170,B
+07DA001,1,1973/02/17,168,B
+07DA001,1,1973/02/18,168,B
+07DA001,1,1973/02/19,167,B
+07DA001,1,1973/02/20,165,B
+07DA001,1,1973/02/21,165,B
+07DA001,1,1973/02/22,163,B
+07DA001,1,1973/02/23,162,B
+07DA001,1,1973/02/24,161,B
+07DA001,1,1973/02/25,160,B
+07DA001,1,1973/02/26,159,B
+07DA001,1,1973/02/27,160,B
+07DA001,1,1973/02/28,161,B
+07DA001,1,1973/03/01,161,B
+07DA001,1,1973/03/02,162,B
+07DA001,1,1973/03/03,162,B
+07DA001,1,1973/03/04,163,B
+07DA001,1,1973/03/05,164,B
+07DA001,1,1973/03/06,164,B
+07DA001,1,1973/03/07,165,B
+07DA001,1,1973/03/08,166,B
+07DA001,1,1973/03/09,166,B
+07DA001,1,1973/03/10,167,B
+07DA001,1,1973/03/11,167,B
+07DA001,1,1973/03/12,168,B
+07DA001,1,1973/03/13,169,B
+07DA001,1,1973/03/14,169,B
+07DA001,1,1973/03/15,170,B
+07DA001,1,1973/03/16,171,B
+07DA001,1,1973/03/17,171,B
+07DA001,1,1973/03/18,172,B
+07DA001,1,1973/03/19,172,B
+07DA001,1,1973/03/20,173,B
+07DA001,1,1973/03/21,174,B
+07DA001,1,1973/03/22,174,B
+07DA001,1,1973/03/23,175,B
+07DA001,1,1973/03/24,176,B
+07DA001,1,1973/03/25,176,B
+07DA001,1,1973/03/26,177,B
+07DA001,1,1973/03/27,178,B
+07DA001,1,1973/03/28,178,B
+07DA001,1,1973/03/29,179,B
+07DA001,1,1973/03/30,180,B
+07DA001,1,1973/03/31,180,B
+07DA001,1,1973/04/01,181,B
+07DA001,1,1973/04/02,182,B
+07DA001,1,1973/04/03,182,B
+07DA001,1,1973/04/04,182,B
+07DA001,1,1973/04/05,184,B
+07DA001,1,1973/04/06,184,B
+07DA001,1,1973/04/07,184,B
+07DA001,1,1973/04/08,187,B
+07DA001,1,1973/04/09,193,B
+07DA001,1,1973/04/10,201,B
+07DA001,1,1973/04/11,209,B
+07DA001,1,1973/04/12,219,B
+07DA001,1,1973/04/13,232,B
+07DA001,1,1973/04/14,243,B
+07DA001,1,1973/04/15,245,B
+07DA001,1,1973/04/16,249,B
+07DA001,1,1973/04/17,251,B
+07DA001,1,1973/04/18,286,B
+07DA001,1,1973/04/19,311,B
+07DA001,1,1973/04/20,382,B
+07DA001,1,1973/04/21,453,B
+07DA001,1,1973/04/22,1010,B
+07DA001,1,1973/04/23,980,B
+07DA001,1,1973/04/24,957,B
+07DA001,1,1973/04/25,932,B
+07DA001,1,1973/04/26,895,B
+07DA001,1,1973/04/27,920,B
+07DA001,1,1973/04/28,895,B
+07DA001,1,1973/04/29,895,B
+07DA001,1,1973/04/30,912,
+07DA001,1,1973/05/01,878,
+07DA001,1,1973/05/02,889,
+07DA001,1,1973/05/03,920,
+07DA001,1,1973/05/04,926,
+07DA001,1,1973/05/05,906,
+07DA001,1,1973/05/06,895,
+07DA001,1,1973/05/07,895,
+07DA001,1,1973/05/08,937,
+07DA001,1,1973/05/09,1060,
+07DA001,1,1973/05/10,1150,
+07DA001,1,1973/05/11,1200,
+07DA001,1,1973/05/12,1210,
+07DA001,1,1973/05/13,1220,
+07DA001,1,1973/05/14,1180,
+07DA001,1,1973/05/15,1100,
+07DA001,1,1973/05/16,1040,
+07DA001,1,1973/05/17,988,
+07DA001,1,1973/05/18,946,
+07DA001,1,1973/05/19,929,
+07DA001,1,1973/05/20,946,
+07DA001,1,1973/05/21,1050,
+07DA001,1,1973/05/22,1250,
+07DA001,1,1973/05/23,1390,
+07DA001,1,1973/05/24,1450,
+07DA001,1,1973/05/25,1460,
+07DA001,1,1973/05/26,1360,
+07DA001,1,1973/05/27,1240,
+07DA001,1,1973/05/28,1170,
+07DA001,1,1973/05/29,1140,
+07DA001,1,1973/05/30,1320,
+07DA001,1,1973/05/31,1560,
+07DA001,1,1973/06/01,1780,
+07DA001,1,1973/06/02,1860,
+07DA001,1,1973/06/03,1820,
+07DA001,1,1973/06/04,1770,
+07DA001,1,1973/06/05,1780,
+07DA001,1,1973/06/06,1740,
+07DA001,1,1973/06/07,1630,
+07DA001,1,1973/06/08,1610,
+07DA001,1,1973/06/09,1580,
+07DA001,1,1973/06/10,1570,
+07DA001,1,1973/06/11,1590,
+07DA001,1,1973/06/12,1680,
+07DA001,1,1973/06/13,1700,
+07DA001,1,1973/06/14,1590,
+07DA001,1,1973/06/15,1530,
+07DA001,1,1973/06/16,1870,
+07DA001,1,1973/06/17,2100,
+07DA001,1,1973/06/18,2200,
+07DA001,1,1973/06/19,2330,
+07DA001,1,1973/06/20,2440,
+07DA001,1,1973/06/21,2340,
+07DA001,1,1973/06/22,2140,
+07DA001,1,1973/06/23,1980,
+07DA001,1,1973/06/24,1860,
+07DA001,1,1973/06/25,1750,
+07DA001,1,1973/06/26,1690,
+07DA001,1,1973/06/27,1700,
+07DA001,1,1973/06/28,2030,
+07DA001,1,1973/06/29,2510,
+07DA001,1,1973/06/30,2420,
+07DA001,1,1973/07/01,2170,
+07DA001,1,1973/07/02,1970,
+07DA001,1,1973/07/03,1860,
+07DA001,1,1973/07/04,1770,
+07DA001,1,1973/07/05,1670,
+07DA001,1,1973/07/06,1560,
+07DA001,1,1973/07/07,1460,
+07DA001,1,1973/07/08,1380,
+07DA001,1,1973/07/09,1330,
+07DA001,1,1973/07/10,1360,
+07DA001,1,1973/07/11,1400,
+07DA001,1,1973/07/12,1370,
+07DA001,1,1973/07/13,1330,
+07DA001,1,1973/07/14,1290,
+07DA001,1,1973/07/15,1220,
+07DA001,1,1973/07/16,1210,
+07DA001,1,1973/07/17,1250,
+07DA001,1,1973/07/18,1250,
+07DA001,1,1973/07/19,1190,
+07DA001,1,1973/07/20,1140,
+07DA001,1,1973/07/21,1150,
+07DA001,1,1973/07/22,1180,
+07DA001,1,1973/07/23,1160,
+07DA001,1,1973/07/24,1120,
+07DA001,1,1973/07/25,1090,
+07DA001,1,1973/07/26,1090,
+07DA001,1,1973/07/27,1120,
+07DA001,1,1973/07/28,1150,
+07DA001,1,1973/07/29,1140,
+07DA001,1,1973/07/30,1100,
+07DA001,1,1973/07/31,1050,
+07DA001,1,1973/08/01,1000,
+07DA001,1,1973/08/02,974,
+07DA001,1,1973/08/03,997,
+07DA001,1,1973/08/04,1000,
+07DA001,1,1973/08/05,1010,
+07DA001,1,1973/08/06,1150,
+07DA001,1,1973/08/07,1480,
+07DA001,1,1973/08/08,1600,
+07DA001,1,1973/08/09,1630,
+07DA001,1,1973/08/10,1670,
+07DA001,1,1973/08/11,1740,
+07DA001,1,1973/08/12,1730,
+07DA001,1,1973/08/13,1630,
+07DA001,1,1973/08/14,1510,
+07DA001,1,1973/08/15,1430,
+07DA001,1,1973/08/16,1390,
+07DA001,1,1973/08/17,1330,
+07DA001,1,1973/08/18,1260,
+07DA001,1,1973/08/19,1190,
+07DA001,1,1973/08/20,1150,
+07DA001,1,1973/08/21,1140,
+07DA001,1,1973/08/22,1140,
+07DA001,1,1973/08/23,1140,
+07DA001,1,1973/08/24,1100,
+07DA001,1,1973/08/25,1040,
+07DA001,1,1973/08/26,974,
+07DA001,1,1973/08/27,926,
+07DA001,1,1973/08/28,903,
+07DA001,1,1973/08/29,898,
+07DA001,1,1973/08/30,875,
+07DA001,1,1973/08/31,858,
+07DA001,1,1973/09/01,847,
+07DA001,1,1973/09/02,835,
+07DA001,1,1973/09/03,824,
+07DA001,1,1973/09/04,801,
+07DA001,1,1973/09/05,770,
+07DA001,1,1973/09/06,750,
+07DA001,1,1973/09/07,731,
+07DA001,1,1973/09/08,708,
+07DA001,1,1973/09/09,682,
+07DA001,1,1973/09/10,660,
+07DA001,1,1973/09/11,651,
+07DA001,1,1973/09/12,671,
+07DA001,1,1973/09/13,714,
+07DA001,1,1973/09/14,810,
+07DA001,1,1973/09/15,898,
+07DA001,1,1973/09/16,920,
+07DA001,1,1973/09/17,937,
+07DA001,1,1973/09/18,937,
+07DA001,1,1973/09/19,932,
+07DA001,1,1973/09/20,900,
+07DA001,1,1973/09/21,852,
+07DA001,1,1973/09/22,810,
+07DA001,1,1973/09/23,776,
+07DA001,1,1973/09/24,762,
+07DA001,1,1973/09/25,748,
+07DA001,1,1973/09/26,750,
+07DA001,1,1973/09/27,725,
+07DA001,1,1973/09/28,716,
+07DA001,1,1973/09/29,711,
+07DA001,1,1973/09/30,708,
+07DA001,1,1973/10/01,708,
+07DA001,1,1973/10/02,714,
+07DA001,1,1973/10/03,725,
+07DA001,1,1973/10/04,711,
+07DA001,1,1973/10/05,711,
+07DA001,1,1973/10/06,776,
+07DA001,1,1973/10/07,835,
+07DA001,1,1973/10/08,867,
+07DA001,1,1973/10/09,883,
+07DA001,1,1973/10/10,886,
+07DA001,1,1973/10/11,878,
+07DA001,1,1973/10/12,878,
+07DA001,1,1973/10/13,867,
+07DA001,1,1973/10/14,855,
+07DA001,1,1973/10/15,835,
+07DA001,1,1973/10/16,813,
+07DA001,1,1973/10/17,799,
+07DA001,1,1973/10/18,787,
+07DA001,1,1973/10/19,776,
+07DA001,1,1973/10/20,756,
+07DA001,1,1973/10/21,745,
+07DA001,1,1973/10/22,731,
+07DA001,1,1973/10/23,719,
+07DA001,1,1973/10/24,722,
+07DA001,1,1973/10/25,736,
+07DA001,1,1973/10/26,756,
+07DA001,1,1973/10/27,776,
+07DA001,1,1973/10/28,804,
+07DA001,1,1973/10/29,810,
+07DA001,1,1973/10/30,818,
+07DA001,1,1973/10/31,827,
+07DA001,1,1973/11/01,830,
+07DA001,1,1973/11/02,830,
+07DA001,1,1973/11/03,796,
+07DA001,1,1973/11/04,733,
+07DA001,1,1973/11/05,691,B
+07DA001,1,1973/11/06,654,B
+07DA001,1,1973/11/07,614,B
+07DA001,1,1973/11/08,578,B
+07DA001,1,1973/11/09,538,B
+07DA001,1,1973/11/10,501,B
+07DA001,1,1973/11/11,464,B
+07DA001,1,1973/11/12,425,B
+07DA001,1,1973/11/13,388,B
+07DA001,1,1973/11/14,348,B
+07DA001,1,1973/11/15,311,B
+07DA001,1,1973/11/16,289,B
+07DA001,1,1973/11/17,286,B
+07DA001,1,1973/11/18,286,B
+07DA001,1,1973/11/19,289,B
+07DA001,1,1973/11/20,294,B
+07DA001,1,1973/11/21,303,B
+07DA001,1,1973/11/22,311,B
+07DA001,1,1973/11/23,323,B
+07DA001,1,1973/11/24,331,B
+07DA001,1,1973/11/25,334,B
+07DA001,1,1973/11/26,337,B
+07DA001,1,1973/11/27,337,B
+07DA001,1,1973/11/28,334,B
+07DA001,1,1973/11/29,334,B
+07DA001,1,1973/11/30,334,B
+07DA001,1,1973/12/01,331,B
+07DA001,1,1973/12/02,328,B
+07DA001,1,1973/12/03,328,B
+07DA001,1,1973/12/04,326,B
+07DA001,1,1973/12/05,323,B
+07DA001,1,1973/12/06,320,B
+07DA001,1,1973/12/07,317,B
+07DA001,1,1973/12/08,314,B
+07DA001,1,1973/12/09,311,B
+07DA001,1,1973/12/10,309,B
+07DA001,1,1973/12/11,306,B
+07DA001,1,1973/12/12,303,B
+07DA001,1,1973/12/13,300,B
+07DA001,1,1973/12/14,297,B
+07DA001,1,1973/12/15,294,B
+07DA001,1,1973/12/16,292,B
+07DA001,1,1973/12/17,289,B
+07DA001,1,1973/12/18,286,B
+07DA001,1,1973/12/19,283,B
+07DA001,1,1973/12/20,282,B
+07DA001,1,1973/12/21,280,B
+07DA001,1,1973/12/22,278,B
+07DA001,1,1973/12/23,275,B
+07DA001,1,1973/12/24,272,B
+07DA001,1,1973/12/25,269,B
+07DA001,1,1973/12/26,266,B
+07DA001,1,1973/12/27,263,B
+07DA001,1,1973/12/28,261,B
+07DA001,1,1973/12/29,259,B
+07DA001,1,1973/12/30,258,B
+07DA001,1,1973/12/31,255,B
+07DA001,1,1974/01/01,254,B
+07DA001,1,1974/01/02,252,B
+07DA001,1,1974/01/03,251,B
+07DA001,1,1974/01/04,250,B
+07DA001,1,1974/01/05,249,B
+07DA001,1,1974/01/06,247,B
+07DA001,1,1974/01/07,246,B
+07DA001,1,1974/01/08,245,B
+07DA001,1,1974/01/09,244,B
+07DA001,1,1974/01/10,243,B
+07DA001,1,1974/01/11,241,B
+07DA001,1,1974/01/12,240,B
+07DA001,1,1974/01/13,239,B
+07DA001,1,1974/01/14,238,B
+07DA001,1,1974/01/15,236,B
+07DA001,1,1974/01/16,235,B
+07DA001,1,1974/01/17,234,B
+07DA001,1,1974/01/18,233,B
+07DA001,1,1974/01/19,231,B
+07DA001,1,1974/01/20,230,B
+07DA001,1,1974/01/21,230,B
+07DA001,1,1974/01/22,227,B
+07DA001,1,1974/01/23,225,B
+07DA001,1,1974/01/24,228,B
+07DA001,1,1974/01/25,230,B
+07DA001,1,1974/01/26,233,B
+07DA001,1,1974/01/27,234,B
+07DA001,1,1974/01/28,234,B
+07DA001,1,1974/01/29,236,B
+07DA001,1,1974/01/30,239,B
+07DA001,1,1974/01/31,240,B
+07DA001,1,1974/02/01,242,B
+07DA001,1,1974/02/02,241,B
+07DA001,1,1974/02/03,240,B
+07DA001,1,1974/02/04,237,B
+07DA001,1,1974/02/05,235,B
+07DA001,1,1974/02/06,233,B
+07DA001,1,1974/02/07,228,B
+07DA001,1,1974/02/08,224,B
+07DA001,1,1974/02/09,221,B
+07DA001,1,1974/02/10,216,B
+07DA001,1,1974/02/11,212,B
+07DA001,1,1974/02/12,206,B
+07DA001,1,1974/02/13,203,B
+07DA001,1,1974/02/14,201,B
+07DA001,1,1974/02/15,202,B
+07DA001,1,1974/02/16,202,B
+07DA001,1,1974/02/17,204,B
+07DA001,1,1974/02/18,205,B
+07DA001,1,1974/02/19,203,B
+07DA001,1,1974/02/20,201,B
+07DA001,1,1974/02/21,199,B
+07DA001,1,1974/02/22,200,B
+07DA001,1,1974/02/23,202,B
+07DA001,1,1974/02/24,202,B
+07DA001,1,1974/02/25,202,B
+07DA001,1,1974/02/26,201,B
+07DA001,1,1974/02/27,201,B
+07DA001,1,1974/02/28,202,B
+07DA001,1,1974/03/01,202,B
+07DA001,1,1974/03/02,201,B
+07DA001,1,1974/03/03,200,B
+07DA001,1,1974/03/04,198,B
+07DA001,1,1974/03/05,196,B
+07DA001,1,1974/03/06,194,B
+07DA001,1,1974/03/07,192,B
+07DA001,1,1974/03/08,191,B
+07DA001,1,1974/03/09,192,B
+07DA001,1,1974/03/10,192,B
+07DA001,1,1974/03/11,191,B
+07DA001,1,1974/03/12,191,B
+07DA001,1,1974/03/13,191,B
+07DA001,1,1974/03/14,191,B
+07DA001,1,1974/03/15,189,B
+07DA001,1,1974/03/16,188,B
+07DA001,1,1974/03/17,187,B
+07DA001,1,1974/03/18,188,B
+07DA001,1,1974/03/19,187,B
+07DA001,1,1974/03/20,185,B
+07DA001,1,1974/03/21,184,B
+07DA001,1,1974/03/22,183,B
+07DA001,1,1974/03/23,183,B
+07DA001,1,1974/03/24,183,B
+07DA001,1,1974/03/25,184,B
+07DA001,1,1974/03/26,184,B
+07DA001,1,1974/03/27,183,B
+07DA001,1,1974/03/28,184,B
+07DA001,1,1974/03/29,184,B
+07DA001,1,1974/03/30,185,B
+07DA001,1,1974/03/31,186,B
+07DA001,1,1974/04/01,186,B
+07DA001,1,1974/04/02,185,B
+07DA001,1,1974/04/03,185,B
+07DA001,1,1974/04/04,185,B
+07DA001,1,1974/04/05,186,B
+07DA001,1,1974/04/06,187,B
+07DA001,1,1974/04/07,189,B
+07DA001,1,1974/04/08,194,B
+07DA001,1,1974/04/09,200,B
+07DA001,1,1974/04/10,211,B
+07DA001,1,1974/04/11,223,B
+07DA001,1,1974/04/12,236,B
+07DA001,1,1974/04/13,255,B
+07DA001,1,1974/04/14,278,B
+07DA001,1,1974/04/15,303,B
+07DA001,1,1974/04/16,391,B
+07DA001,1,1974/04/17,510,B
+07DA001,1,1974/04/18,677,B
+07DA001,1,1974/04/19,954,B
+07DA001,1,1974/04/20,1130,E
+07DA001,1,1974/04/21,1330,E
+07DA001,1,1974/04/22,1500,E
+07DA001,1,1974/04/23,1700,E
+07DA001,1,1974/04/24,1870,E
+07DA001,1,1974/04/25,2070,E
+07DA001,1,1974/04/26,2240,E
+07DA001,1,1974/04/27,2440,E
+07DA001,1,1974/04/28,2580,
+07DA001,1,1974/04/29,2750,
+07DA001,1,1974/04/30,2760,
+07DA001,1,1974/05/01,2740,
+07DA001,1,1974/05/02,2710,
+07DA001,1,1974/05/03,2590,
+07DA001,1,1974/05/04,2430,
+07DA001,1,1974/05/05,2290,
+07DA001,1,1974/05/06,2200,
+07DA001,1,1974/05/07,2070,
+07DA001,1,1974/05/08,2000,
+07DA001,1,1974/05/09,2000,
+07DA001,1,1974/05/10,2050,
+07DA001,1,1974/05/11,2100,
+07DA001,1,1974/05/12,2130,
+07DA001,1,1974/05/13,2160,
+07DA001,1,1974/05/14,2350,
+07DA001,1,1974/05/15,2490,
+07DA001,1,1974/05/16,2460,
+07DA001,1,1974/05/17,2320,
+07DA001,1,1974/05/18,2220,
+07DA001,1,1974/05/19,2140,
+07DA001,1,1974/05/20,2050,
+07DA001,1,1974/05/21,2000,
+07DA001,1,1974/05/22,1920,
+07DA001,1,1974/05/23,1840,
+07DA001,1,1974/05/24,1770,
+07DA001,1,1974/05/25,1710,
+07DA001,1,1974/05/26,1660,
+07DA001,1,1974/05/27,1630,
+07DA001,1,1974/05/28,1650,
+07DA001,1,1974/05/29,1660,
+07DA001,1,1974/05/30,1650,
+07DA001,1,1974/05/31,1620,
+07DA001,1,1974/06/01,1620,
+07DA001,1,1974/06/02,1610,
+07DA001,1,1974/06/03,1570,
+07DA001,1,1974/06/04,1510,
+07DA001,1,1974/06/05,1460,
+07DA001,1,1974/06/06,1410,
+07DA001,1,1974/06/07,1370,
+07DA001,1,1974/06/08,1340,
+07DA001,1,1974/06/09,1340,
+07DA001,1,1974/06/10,1350,
+07DA001,1,1974/06/11,1330,
+07DA001,1,1974/06/12,1310,
+07DA001,1,1974/06/13,1290,
+07DA001,1,1974/06/14,1270,
+07DA001,1,1974/06/15,1250,
+07DA001,1,1974/06/16,1200,
+07DA001,1,1974/06/17,1170,
+07DA001,1,1974/06/18,1270,
+07DA001,1,1974/06/19,1430,
+07DA001,1,1974/06/20,1500,
+07DA001,1,1974/06/21,1670,
+07DA001,1,1974/06/22,1820,
+07DA001,1,1974/06/23,1810,
+07DA001,1,1974/06/24,1770,
+07DA001,1,1974/06/25,1730,
+07DA001,1,1974/06/26,1750,
+07DA001,1,1974/06/27,1800,
+07DA001,1,1974/06/28,1870,
+07DA001,1,1974/06/29,1880,
+07DA001,1,1974/06/30,1790,
+07DA001,1,1974/07/01,1690,
+07DA001,1,1974/07/02,1600,
+07DA001,1,1974/07/03,1510,
+07DA001,1,1974/07/04,1390,
+07DA001,1,1974/07/05,1300,
+07DA001,1,1974/07/06,1370,
+07DA001,1,1974/07/07,1410,
+07DA001,1,1974/07/08,1340,
+07DA001,1,1974/07/09,1290,
+07DA001,1,1974/07/10,1270,
+07DA001,1,1974/07/11,1290,
+07DA001,1,1974/07/12,1320,
+07DA001,1,1974/07/13,1450,
+07DA001,1,1974/07/14,1750,
+07DA001,1,1974/07/15,2160,
+07DA001,1,1974/07/16,2810,
+07DA001,1,1974/07/17,2970,
+07DA001,1,1974/07/18,2710,
+07DA001,1,1974/07/19,2490,
+07DA001,1,1974/07/20,2370,
+07DA001,1,1974/07/21,2360,
+07DA001,1,1974/07/22,2230,
+07DA001,1,1974/07/23,2050,
+07DA001,1,1974/07/24,1970,
+07DA001,1,1974/07/25,1960,
+07DA001,1,1974/07/26,1840,
+07DA001,1,1974/07/27,1680,
+07DA001,1,1974/07/28,1570,
+07DA001,1,1974/07/29,1510,
+07DA001,1,1974/07/30,1440,
+07DA001,1,1974/07/31,1400,
+07DA001,1,1974/08/01,1370,
+07DA001,1,1974/08/02,1330,
+07DA001,1,1974/08/03,1310,
+07DA001,1,1974/08/04,1330,
+07DA001,1,1974/08/05,1350,
+07DA001,1,1974/08/06,1320,
+07DA001,1,1974/08/07,1260,
+07DA001,1,1974/08/08,1210,
+07DA001,1,1974/08/09,1190,
+07DA001,1,1974/08/10,1200,
+07DA001,1,1974/08/11,1210,
+07DA001,1,1974/08/12,1180,
+07DA001,1,1974/08/13,1090,
+07DA001,1,1974/08/14,1010,
+07DA001,1,1974/08/15,949,
+07DA001,1,1974/08/16,915,
+07DA001,1,1974/08/17,906,
+07DA001,1,1974/08/18,898,
+07DA001,1,1974/08/19,883,
+07DA001,1,1974/08/20,855,
+07DA001,1,1974/08/21,830,
+07DA001,1,1974/08/22,813,
+07DA001,1,1974/08/23,807,
+07DA001,1,1974/08/24,850,
+07DA001,1,1974/08/25,929,
+07DA001,1,1974/08/26,983,
+07DA001,1,1974/08/27,971,
+07DA001,1,1974/08/28,940,
+07DA001,1,1974/08/29,932,
+07DA001,1,1974/08/30,968,
+07DA001,1,1974/08/31,980,
+07DA001,1,1974/09/01,957,
+07DA001,1,1974/09/02,917,
+07DA001,1,1974/09/03,881,
+07DA001,1,1974/09/04,861,
+07DA001,1,1974/09/05,841,
+07DA001,1,1974/09/06,838,
+07DA001,1,1974/09/07,844,
+07DA001,1,1974/09/08,833,
+07DA001,1,1974/09/09,813,
+07DA001,1,1974/09/10,799,
+07DA001,1,1974/09/11,807,
+07DA001,1,1974/09/12,835,
+07DA001,1,1974/09/13,900,
+07DA001,1,1974/09/14,923,
+07DA001,1,1974/09/15,920,
+07DA001,1,1974/09/16,957,
+07DA001,1,1974/09/17,957,
+07DA001,1,1974/09/18,906,
+07DA001,1,1974/09/19,861,
+07DA001,1,1974/09/20,816,
+07DA001,1,1974/09/21,790,
+07DA001,1,1974/09/22,770,
+07DA001,1,1974/09/23,759,
+07DA001,1,1974/09/24,742,
+07DA001,1,1974/09/25,733,
+07DA001,1,1974/09/26,722,
+07DA001,1,1974/09/27,702,
+07DA001,1,1974/09/28,691,
+07DA001,1,1974/09/29,685,
+07DA001,1,1974/09/30,674,
+07DA001,1,1974/10/01,660,
+07DA001,1,1974/10/02,654,
+07DA001,1,1974/10/03,657,
+07DA001,1,1974/10/04,665,
+07DA001,1,1974/10/05,648,
+07DA001,1,1974/10/06,680,
+07DA001,1,1974/10/07,677,
+07DA001,1,1974/10/08,665,
+07DA001,1,1974/10/09,651,
+07DA001,1,1974/10/10,634,
+07DA001,1,1974/10/11,640,
+07DA001,1,1974/10/12,648,
+07DA001,1,1974/10/13,654,
+07DA001,1,1974/10/14,651,
+07DA001,1,1974/10/15,648,
+07DA001,1,1974/10/16,643,
+07DA001,1,1974/10/17,640,
+07DA001,1,1974/10/18,629,
+07DA001,1,1974/10/19,620,
+07DA001,1,1974/10/20,623,
+07DA001,1,1974/10/21,654,
+07DA001,1,1974/10/22,665,
+07DA001,1,1974/10/23,663,
+07DA001,1,1974/10/24,654,
+07DA001,1,1974/10/25,640,
+07DA001,1,1974/10/26,623,
+07DA001,1,1974/10/27,614,
+07DA001,1,1974/10/28,603,
+07DA001,1,1974/10/29,592,
+07DA001,1,1974/10/30,583,
+07DA001,1,1974/10/31,580,
+07DA001,1,1974/11/01,572,
+07DA001,1,1974/11/02,564,
+07DA001,1,1974/11/03,547,
+07DA001,1,1974/11/04,541,
+07DA001,1,1974/11/05,521,
+07DA001,1,1974/11/06,484,
+07DA001,1,1974/11/07,467,
+07DA001,1,1974/11/08,439,
+07DA001,1,1974/11/09,411,
+07DA001,1,1974/11/10,379,
+07DA001,1,1974/11/11,365,
+07DA001,1,1974/11/12,337,
+07DA001,1,1974/11/13,323,
+07DA001,1,1974/11/14,326,
+07DA001,1,1974/11/15,311,
+07DA001,1,1974/11/16,283,B
+07DA001,1,1974/11/17,255,B
+07DA001,1,1974/11/18,249,B
+07DA001,1,1974/11/19,248,B
+07DA001,1,1974/11/20,246,B
+07DA001,1,1974/11/21,244,B
+07DA001,1,1974/11/22,241,B
+07DA001,1,1974/11/23,238,B
+07DA001,1,1974/11/24,235,B
+07DA001,1,1974/11/25,229,B
+07DA001,1,1974/11/26,224,B
+07DA001,1,1974/11/27,221,B
+07DA001,1,1974/11/28,215,B
+07DA001,1,1974/11/29,210,B
+07DA001,1,1974/11/30,198,B
+07DA001,1,1974/12/01,187,B
+07DA001,1,1974/12/02,178,B
+07DA001,1,1974/12/03,173,B
+07DA001,1,1974/12/04,178,B
+07DA001,1,1974/12/05,193,B
+07DA001,1,1974/12/06,221,B
+07DA001,1,1974/12/07,263,B
+07DA001,1,1974/12/08,272,B
+07DA001,1,1974/12/09,277,B
+07DA001,1,1974/12/10,283,B
+07DA001,1,1974/12/11,286,B
+07DA001,1,1974/12/12,289,B
+07DA001,1,1974/12/13,294,B
+07DA001,1,1974/12/14,297,B
+07DA001,1,1974/12/15,300,B
+07DA001,1,1974/12/16,303,B
+07DA001,1,1974/12/17,303,B
+07DA001,1,1974/12/18,300,B
+07DA001,1,1974/12/19,300,B
+07DA001,1,1974/12/20,297,B
+07DA001,1,1974/12/21,294,B
+07DA001,1,1974/12/22,292,B
+07DA001,1,1974/12/23,292,B
+07DA001,1,1974/12/24,289,B
+07DA001,1,1974/12/25,286,B
+07DA001,1,1974/12/26,283,B
+07DA001,1,1974/12/27,280,B
+07DA001,1,1974/12/28,278,B
+07DA001,1,1974/12/29,272,B
+07DA001,1,1974/12/30,269,B
+07DA001,1,1974/12/31,266,B
+07DA001,1,1975/01/01,261,B
+07DA001,1,1975/01/02,255,B
+07DA001,1,1975/01/03,252,B
+07DA001,1,1975/01/04,246,B
+07DA001,1,1975/01/05,244,B
+07DA001,1,1975/01/06,238,B
+07DA001,1,1975/01/07,235,B
+07DA001,1,1975/01/08,232,B
+07DA001,1,1975/01/09,229,B
+07DA001,1,1975/01/10,224,B
+07DA001,1,1975/01/11,221,B
+07DA001,1,1975/01/12,218,B
+07DA001,1,1975/01/13,215,B
+07DA001,1,1975/01/14,212,B
+07DA001,1,1975/01/15,210,B
+07DA001,1,1975/01/16,207,B
+07DA001,1,1975/01/17,204,B
+07DA001,1,1975/01/18,204,B
+07DA001,1,1975/01/19,201,B
+07DA001,1,1975/01/20,198,B
+07DA001,1,1975/01/21,198,B
+07DA001,1,1975/01/22,195,B
+07DA001,1,1975/01/23,195,B
+07DA001,1,1975/01/24,193,B
+07DA001,1,1975/01/25,193,B
+07DA001,1,1975/01/26,190,B
+07DA001,1,1975/01/27,190,B
+07DA001,1,1975/01/28,187,B
+07DA001,1,1975/01/29,187,B
+07DA001,1,1975/01/30,187,B
+07DA001,1,1975/01/31,187,B
+07DA001,1,1975/02/01,187,B
+07DA001,1,1975/02/02,187,B
+07DA001,1,1975/02/03,187,B
+07DA001,1,1975/02/04,187,B
+07DA001,1,1975/02/05,187,B
+07DA001,1,1975/02/06,187,B
+07DA001,1,1975/02/07,187,B
+07DA001,1,1975/02/08,187,B
+07DA001,1,1975/02/09,187,B
+07DA001,1,1975/02/10,187,B
+07DA001,1,1975/02/11,187,B
+07DA001,1,1975/02/12,187,B
+07DA001,1,1975/02/13,187,B
+07DA001,1,1975/02/14,187,B
+07DA001,1,1975/02/15,187,B
+07DA001,1,1975/02/16,187,B
+07DA001,1,1975/02/17,187,B
+07DA001,1,1975/02/18,187,B
+07DA001,1,1975/02/19,187,B
+07DA001,1,1975/02/20,187,B
+07DA001,1,1975/02/21,187,B
+07DA001,1,1975/02/22,187,B
+07DA001,1,1975/02/23,187,B
+07DA001,1,1975/02/24,190,B
+07DA001,1,1975/02/25,190,B
+07DA001,1,1975/02/26,190,B
+07DA001,1,1975/02/27,190,B
+07DA001,1,1975/02/28,193,B
+07DA001,1,1975/03/01,193,B
+07DA001,1,1975/03/02,193,B
+07DA001,1,1975/03/03,195,B
+07DA001,1,1975/03/04,195,B
+07DA001,1,1975/03/05,198,B
+07DA001,1,1975/03/06,198,B
+07DA001,1,1975/03/07,198,B
+07DA001,1,1975/03/08,198,B
+07DA001,1,1975/03/09,198,B
+07DA001,1,1975/03/10,198,B
+07DA001,1,1975/03/11,201,B
+07DA001,1,1975/03/12,201,B
+07DA001,1,1975/03/13,204,B
+07DA001,1,1975/03/14,204,B
+07DA001,1,1975/03/15,205,B
+07DA001,1,1975/03/16,204,B
+07DA001,1,1975/03/17,207,B
+07DA001,1,1975/03/18,207,B
+07DA001,1,1975/03/19,207,B
+07DA001,1,1975/03/20,207,B
+07DA001,1,1975/03/21,207,B
+07DA001,1,1975/03/22,210,B
+07DA001,1,1975/03/23,210,B
+07DA001,1,1975/03/24,210,B
+07DA001,1,1975/03/25,210,B
+07DA001,1,1975/03/26,210,B
+07DA001,1,1975/03/27,212,B
+07DA001,1,1975/03/28,212,B
+07DA001,1,1975/03/29,212,B
+07DA001,1,1975/03/30,215,B
+07DA001,1,1975/03/31,215,B
+07DA001,1,1975/04/01,215,B
+07DA001,1,1975/04/02,215,B
+07DA001,1,1975/04/03,218,B
+07DA001,1,1975/04/04,218,B
+07DA001,1,1975/04/05,221,B
+07DA001,1,1975/04/06,221,B
+07DA001,1,1975/04/07,224,B
+07DA001,1,1975/04/08,224,B
+07DA001,1,1975/04/09,227,B
+07DA001,1,1975/04/10,227,B
+07DA001,1,1975/04/11,229,B
+07DA001,1,1975/04/12,232,B
+07DA001,1,1975/04/13,232,B
+07DA001,1,1975/04/14,235,B
+07DA001,1,1975/04/15,238,B
+07DA001,1,1975/04/16,241,B
+07DA001,1,1975/04/17,255,B
+07DA001,1,1975/04/18,283,B
+07DA001,1,1975/04/19,311,B
+07DA001,1,1975/04/20,354,B
+07DA001,1,1975/04/21,396,B
+07DA001,1,1975/04/22,453,B
+07DA001,1,1975/04/23,510,B
+07DA001,1,1975/04/24,566,B
+07DA001,1,1975/04/25,651,B
+07DA001,1,1975/04/26,708,B
+07DA001,1,1975/04/27,765,B
+07DA001,1,1975/04/28,850,B
+07DA001,1,1975/04/29,878,B
+07DA001,1,1975/04/30,878,B
+07DA001,1,1975/05/01,906,B
+07DA001,1,1975/05/02,934,B
+07DA001,1,1975/05/03,963,B
+07DA001,1,1975/05/04,991,B
+07DA001,1,1975/05/05,1030,
+07DA001,1,1975/05/06,1010,
+07DA001,1,1975/05/07,997,
+07DA001,1,1975/05/08,957,
+07DA001,1,1975/05/09,983,
+07DA001,1,1975/05/10,1010,
+07DA001,1,1975/05/11,1040,
+07DA001,1,1975/05/12,1080,
+07DA001,1,1975/05/13,1160,
+07DA001,1,1975/05/14,1190,
+07DA001,1,1975/05/15,1140,
+07DA001,1,1975/05/16,1110,
+07DA001,1,1975/05/17,1080,
+07DA001,1,1975/05/18,1050,
+07DA001,1,1975/05/19,1030,
+07DA001,1,1975/05/20,966,
+07DA001,1,1975/05/21,915,
+07DA001,1,1975/05/22,886,
+07DA001,1,1975/05/23,872,
+07DA001,1,1975/05/24,878,
+07DA001,1,1975/05/25,878,
+07DA001,1,1975/05/26,898,
+07DA001,1,1975/05/27,917,
+07DA001,1,1975/05/28,920,
+07DA001,1,1975/05/29,937,
+07DA001,1,1975/05/30,917,
+07DA001,1,1975/05/31,898,
+07DA001,1,1975/06/01,878,
+07DA001,1,1975/06/02,838,
+07DA001,1,1975/06/03,801,
+07DA001,1,1975/06/04,793,
+07DA001,1,1975/06/05,816,
+07DA001,1,1975/06/06,867,
+07DA001,1,1975/06/07,906,
+07DA001,1,1975/06/08,983,
+07DA001,1,1975/06/09,1060,
+07DA001,1,1975/06/10,1050,
+07DA001,1,1975/06/11,1010,
+07DA001,1,1975/06/12,977,
+07DA001,1,1975/06/13,946,
+07DA001,1,1975/06/14,915,
+07DA001,1,1975/06/15,869,
+07DA001,1,1975/06/16,835,
+07DA001,1,1975/06/17,838,
+07DA001,1,1975/06/18,895,
+07DA001,1,1975/06/19,934,
+07DA001,1,1975/06/20,951,
+07DA001,1,1975/06/21,954,
+07DA001,1,1975/06/22,934,
+07DA001,1,1975/06/23,940,
+07DA001,1,1975/06/24,963,
+07DA001,1,1975/06/25,963,
+07DA001,1,1975/06/26,997,
+07DA001,1,1975/06/27,1060,
+07DA001,1,1975/06/28,1170,
+07DA001,1,1975/06/29,1380,
+07DA001,1,1975/06/30,1760,
+07DA001,1,1975/07/01,2200,
+07DA001,1,1975/07/02,2460,
+07DA001,1,1975/07/03,2340,
+07DA001,1,1975/07/04,2160,
+07DA001,1,1975/07/05,2000,
+07DA001,1,1975/07/06,1910,
+07DA001,1,1975/07/07,1830,
+07DA001,1,1975/07/08,1760,
+07DA001,1,1975/07/09,1720,
+07DA001,1,1975/07/10,1680,
+07DA001,1,1975/07/11,1640,
+07DA001,1,1975/07/12,1600,
+07DA001,1,1975/07/13,1530,
+07DA001,1,1975/07/14,1500,
+07DA001,1,1975/07/15,1520,
+07DA001,1,1975/07/16,1540,
+07DA001,1,1975/07/17,1670,
+07DA001,1,1975/07/18,1850,
+07DA001,1,1975/07/19,1960,
+07DA001,1,1975/07/20,2060,
+07DA001,1,1975/07/21,2050,
+07DA001,1,1975/07/22,1970,
+07DA001,1,1975/07/23,1840,
+07DA001,1,1975/07/24,1680,
+07DA001,1,1975/07/25,1540,
+07DA001,1,1975/07/26,1420,
+07DA001,1,1975/07/27,1320,
+07DA001,1,1975/07/28,1270,
+07DA001,1,1975/07/29,1230,
+07DA001,1,1975/07/30,1210,
+07DA001,1,1975/07/31,1190,
+07DA001,1,1975/08/01,1190,
+07DA001,1,1975/08/02,1190,
+07DA001,1,1975/08/03,1280,
+07DA001,1,1975/08/04,1310,
+07DA001,1,1975/08/05,1250,
+07DA001,1,1975/08/06,1190,
+07DA001,1,1975/08/07,1130,
+07DA001,1,1975/08/08,1100,
+07DA001,1,1975/08/09,1110,
+07DA001,1,1975/08/10,1070,
+07DA001,1,1975/08/11,1020,
+07DA001,1,1975/08/12,1020,
+07DA001,1,1975/08/13,1000,
+07DA001,1,1975/08/14,951,
+07DA001,1,1975/08/15,915,
+07DA001,1,1975/08/16,878,
+07DA001,1,1975/08/17,844,
+07DA001,1,1975/08/18,830,
+07DA001,1,1975/08/19,813,
+07DA001,1,1975/08/20,793,
+07DA001,1,1975/08/21,782,
+07DA001,1,1975/08/22,782,
+07DA001,1,1975/08/23,804,
+07DA001,1,1975/08/24,861,
+07DA001,1,1975/08/25,932,
+07DA001,1,1975/08/26,977,
+07DA001,1,1975/08/27,1000,
+07DA001,1,1975/08/28,1080,
+07DA001,1,1975/08/29,1160,
+07DA001,1,1975/08/30,1180,
+07DA001,1,1975/08/31,1290,
+07DA001,1,1975/09/01,1360,
+07DA001,1,1975/09/02,1440,
+07DA001,1,1975/09/03,1560,
+07DA001,1,1975/09/04,1660,
+07DA001,1,1975/09/05,1650,
+07DA001,1,1975/09/06,1570,
+07DA001,1,1975/09/07,1470,
+07DA001,1,1975/09/08,1390,
+07DA001,1,1975/09/09,1310,
+07DA001,1,1975/09/10,1250,
+07DA001,1,1975/09/11,1180,
+07DA001,1,1975/09/12,1120,
+07DA001,1,1975/09/13,1070,
+07DA001,1,1975/09/14,1020,
+07DA001,1,1975/09/15,977,
+07DA001,1,1975/09/16,946,
+07DA001,1,1975/09/17,917,
+07DA001,1,1975/09/18,883,
+07DA001,1,1975/09/19,852,
+07DA001,1,1975/09/20,827,
+07DA001,1,1975/09/21,804,
+07DA001,1,1975/09/22,793,
+07DA001,1,1975/09/23,790,
+07DA001,1,1975/09/24,790,
+07DA001,1,1975/09/25,767,
+07DA001,1,1975/09/26,753,
+07DA001,1,1975/09/27,745,
+07DA001,1,1975/09/28,748,
+07DA001,1,1975/09/29,753,
+07DA001,1,1975/09/30,753,
+07DA001,1,1975/10/01,748,
+07DA001,1,1975/10/02,742,
+07DA001,1,1975/10/03,736,
+07DA001,1,1975/10/04,722,
+07DA001,1,1975/10/05,708,
+07DA001,1,1975/10/06,708,
+07DA001,1,1975/10/07,719,
+07DA001,1,1975/10/08,719,
+07DA001,1,1975/10/09,716,
+07DA001,1,1975/10/10,708,
+07DA001,1,1975/10/11,714,
+07DA001,1,1975/10/12,739,
+07DA001,1,1975/10/13,728,
+07DA001,1,1975/10/14,708,
+07DA001,1,1975/10/15,694,
+07DA001,1,1975/10/16,680,
+07DA001,1,1975/10/17,665,
+07DA001,1,1975/10/18,657,
+07DA001,1,1975/10/19,651,
+07DA001,1,1975/10/20,648,
+07DA001,1,1975/10/21,646,
+07DA001,1,1975/10/22,643,
+07DA001,1,1975/10/23,640,
+07DA001,1,1975/10/24,634,
+07DA001,1,1975/10/25,629,
+07DA001,1,1975/10/26,629,
+07DA001,1,1975/10/27,620,
+07DA001,1,1975/10/28,600,
+07DA001,1,1975/10/29,580,
+07DA001,1,1975/10/30,575,
+07DA001,1,1975/10/31,569,
+07DA001,1,1975/11/01,572,
+07DA001,1,1975/11/02,566,
+07DA001,1,1975/11/03,544,
+07DA001,1,1975/11/04,541,
+07DA001,1,1975/11/05,541,
+07DA001,1,1975/11/06,561,
+07DA001,1,1975/11/07,541,
+07DA001,1,1975/11/08,558,
+07DA001,1,1975/11/09,541,
+07DA001,1,1975/11/10,538,
+07DA001,1,1975/11/11,518,
+07DA001,1,1975/11/12,493,
+07DA001,1,1975/11/13,532,
+07DA001,1,1975/11/14,564,
+07DA001,1,1975/11/15,549,
+07DA001,1,1975/11/16,547,
+07DA001,1,1975/11/17,535,
+07DA001,1,1975/11/18,510,B
+07DA001,1,1975/11/19,481,B
+07DA001,1,1975/11/20,439,B
+07DA001,1,1975/11/21,396,B
+07DA001,1,1975/11/22,368,B
+07DA001,1,1975/11/23,326,B
+07DA001,1,1975/11/24,297,B
+07DA001,1,1975/11/25,269,B
+07DA001,1,1975/11/26,246,B
+07DA001,1,1975/11/27,235,B
+07DA001,1,1975/11/28,227,B
+07DA001,1,1975/11/29,215,B
+07DA001,1,1975/11/30,207,B
+07DA001,1,1975/12/01,201,B
+07DA001,1,1975/12/02,198,B
+07DA001,1,1975/12/03,198,B
+07DA001,1,1975/12/04,201,B
+07DA001,1,1975/12/05,204,B
+07DA001,1,1975/12/06,207,B
+07DA001,1,1975/12/07,210,B
+07DA001,1,1975/12/08,215,B
+07DA001,1,1975/12/09,221,B
+07DA001,1,1975/12/10,227,B
+07DA001,1,1975/12/11,229,B
+07DA001,1,1975/12/12,232,B
+07DA001,1,1975/12/13,238,B
+07DA001,1,1975/12/14,244,B
+07DA001,1,1975/12/15,249,B
+07DA001,1,1975/12/16,252,B
+07DA001,1,1975/12/17,258,B
+07DA001,1,1975/12/18,265,B
+07DA001,1,1975/12/19,272,B
+07DA001,1,1975/12/20,280,B
+07DA001,1,1975/12/21,286,B
+07DA001,1,1975/12/22,292,B
+07DA001,1,1975/12/23,297,B
+07DA001,1,1975/12/24,300,B
+07DA001,1,1975/12/25,303,B
+07DA001,1,1975/12/26,306,B
+07DA001,1,1975/12/27,303,B
+07DA001,1,1975/12/28,300,B
+07DA001,1,1975/12/29,294,B
+07DA001,1,1975/12/30,292,B
+07DA001,1,1975/12/31,286,B
+07DA001,1,1976/01/01,283,B
+07DA001,1,1976/01/02,278,B
+07DA001,1,1976/01/03,272,B
+07DA001,1,1976/01/04,266,B
+07DA001,1,1976/01/05,261,B
+07DA001,1,1976/01/06,258,B
+07DA001,1,1976/01/07,255,B
+07DA001,1,1976/01/08,249,B
+07DA001,1,1976/01/09,244,B
+07DA001,1,1976/01/10,238,B
+07DA001,1,1976/01/11,232,B
+07DA001,1,1976/01/12,227,B
+07DA001,1,1976/01/13,224,B
+07DA001,1,1976/01/14,218,B
+07DA001,1,1976/01/15,215,B
+07DA001,1,1976/01/16,211,B
+07DA001,1,1976/01/17,210,B
+07DA001,1,1976/01/18,207,B
+07DA001,1,1976/01/19,204,B
+07DA001,1,1976/01/20,201,B
+07DA001,1,1976/01/21,201,B
+07DA001,1,1976/01/22,201,B
+07DA001,1,1976/01/23,201,B
+07DA001,1,1976/01/24,201,B
+07DA001,1,1976/01/25,198,B
+07DA001,1,1976/01/26,198,B
+07DA001,1,1976/01/27,198,B
+07DA001,1,1976/01/28,198,B
+07DA001,1,1976/01/29,198,B
+07DA001,1,1976/01/30,198,B
+07DA001,1,1976/01/31,198,B
+07DA001,1,1976/02/01,198,B
+07DA001,1,1976/02/02,198,B
+07DA001,1,1976/02/03,198,B
+07DA001,1,1976/02/04,198,B
+07DA001,1,1976/02/05,198,B
+07DA001,1,1976/02/06,195,B
+07DA001,1,1976/02/07,195,B
+07DA001,1,1976/02/08,195,B
+07DA001,1,1976/02/09,195,B
+07DA001,1,1976/02/10,195,B
+07DA001,1,1976/02/11,195,B
+07DA001,1,1976/02/12,195,B
+07DA001,1,1976/02/13,195,B
+07DA001,1,1976/02/14,195,B
+07DA001,1,1976/02/15,195,B
+07DA001,1,1976/02/16,195,B
+07DA001,1,1976/02/17,195,B
+07DA001,1,1976/02/18,195,B
+07DA001,1,1976/02/19,195,B
+07DA001,1,1976/02/20,195,B
+07DA001,1,1976/02/21,194,B
+07DA001,1,1976/02/22,193,B
+07DA001,1,1976/02/23,193,B
+07DA001,1,1976/02/24,191,B
+07DA001,1,1976/02/25,191,B
+07DA001,1,1976/02/26,190,B
+07DA001,1,1976/02/27,188,B
+07DA001,1,1976/02/28,187,B
+07DA001,1,1976/02/29,185,B
+07DA001,1,1976/03/01,184,B
+07DA001,1,1976/03/02,184,B
+07DA001,1,1976/03/03,181,B
+07DA001,1,1976/03/04,181,B
+07DA001,1,1976/03/05,180,B
+07DA001,1,1976/03/06,178,B
+07DA001,1,1976/03/07,177,B
+07DA001,1,1976/03/08,176,B
+07DA001,1,1976/03/09,176,B
+07DA001,1,1976/03/10,173,B
+07DA001,1,1976/03/11,173,B
+07DA001,1,1976/03/12,173,B
+07DA001,1,1976/03/13,170,B
+07DA001,1,1976/03/14,170,B
+07DA001,1,1976/03/15,173,B
+07DA001,1,1976/03/16,173,B
+07DA001,1,1976/03/17,173,B
+07DA001,1,1976/03/18,173,B
+07DA001,1,1976/03/19,176,B
+07DA001,1,1976/03/20,176,B
+07DA001,1,1976/03/21,176,B
+07DA001,1,1976/03/22,176,B
+07DA001,1,1976/03/23,178,B
+07DA001,1,1976/03/24,178,B
+07DA001,1,1976/03/25,181,B
+07DA001,1,1976/03/26,181,B
+07DA001,1,1976/03/27,187,B
+07DA001,1,1976/03/28,190,B
+07DA001,1,1976/03/29,195,B
+07DA001,1,1976/03/30,201,B
+07DA001,1,1976/03/31,207,B
+07DA001,1,1976/04/01,218,B
+07DA001,1,1976/04/02,235,B
+07DA001,1,1976/04/03,278,B
+07DA001,1,1976/04/04,311,B
+07DA001,1,1976/04/05,345,B
+07DA001,1,1976/04/06,396,B
+07DA001,1,1976/04/07,453,B
+07DA001,1,1976/04/08,510,B
+07DA001,1,1976/04/09,595,B
+07DA001,1,1976/04/10,694,B
+07DA001,1,1976/04/11,765,B
+07DA001,1,1976/04/12,878,B
+07DA001,1,1976/04/13,991,B
+07DA001,1,1976/04/14,1130,B
+07DA001,1,1976/04/15,1250,B
+07DA001,1,1976/04/16,1360,B
+07DA001,1,1976/04/17,1470,B
+07DA001,1,1976/04/18,1640,B
+07DA001,1,1976/04/19,1560,B
+07DA001,1,1976/04/20,1430,
+07DA001,1,1976/04/21,1230,
+07DA001,1,1976/04/22,1120,
+07DA001,1,1976/04/23,1050,
+07DA001,1,1976/04/24,957,
+07DA001,1,1976/04/25,841,
+07DA001,1,1976/04/26,810,
+07DA001,1,1976/04/27,782,
+07DA001,1,1976/04/28,759,
+07DA001,1,1976/04/29,736,
+07DA001,1,1976/04/30,728,
+07DA001,1,1976/05/01,716,
+07DA001,1,1976/05/02,708,
+07DA001,1,1976/05/03,697,
+07DA001,1,1976/05/04,688,
+07DA001,1,1976/05/05,677,
+07DA001,1,1976/05/06,680,
+07DA001,1,1976/05/07,688,
+07DA001,1,1976/05/08,697,
+07DA001,1,1976/05/09,714,
+07DA001,1,1976/05/10,716,
+07DA001,1,1976/05/11,728,
+07DA001,1,1976/05/12,728,
+07DA001,1,1976/05/13,722,
+07DA001,1,1976/05/14,699,
+07DA001,1,1976/05/15,719,
+07DA001,1,1976/05/16,762,
+07DA001,1,1976/05/17,821,
+07DA001,1,1976/05/18,835,
+07DA001,1,1976/05/19,790,
+07DA001,1,1976/05/20,756,
+07DA001,1,1976/05/21,728,
+07DA001,1,1976/05/22,691,
+07DA001,1,1976/05/23,674,
+07DA001,1,1976/05/24,663,
+07DA001,1,1976/05/25,651,
+07DA001,1,1976/05/26,643,
+07DA001,1,1976/05/27,634,
+07DA001,1,1976/05/28,634,
+07DA001,1,1976/05/29,640,
+07DA001,1,1976/05/30,671,
+07DA001,1,1976/05/31,725,
+07DA001,1,1976/06/01,748,
+07DA001,1,1976/06/02,719,
+07DA001,1,1976/06/03,708,
+07DA001,1,1976/06/04,733,
+07DA001,1,1976/06/05,716,
+07DA001,1,1976/06/06,708,
+07DA001,1,1976/06/07,705,
+07DA001,1,1976/06/08,671,
+07DA001,1,1976/06/09,646,
+07DA001,1,1976/06/10,626,
+07DA001,1,1976/06/11,620,
+07DA001,1,1976/06/12,629,
+07DA001,1,1976/06/13,637,
+07DA001,1,1976/06/14,646,
+07DA001,1,1976/06/15,694,
+07DA001,1,1976/06/16,742,
+07DA001,1,1976/06/17,770,
+07DA001,1,1976/06/18,770,
+07DA001,1,1976/06/19,745,
+07DA001,1,1976/06/20,722,
+07DA001,1,1976/06/21,733,
+07DA001,1,1976/06/22,776,
+07DA001,1,1976/06/23,867,
+07DA001,1,1976/06/24,954,
+07DA001,1,1976/06/25,1120,
+07DA001,1,1976/06/26,1200,
+07DA001,1,1976/06/27,1200,
+07DA001,1,1976/06/28,1250,
+07DA001,1,1976/06/29,1320,
+07DA001,1,1976/06/30,1380,
+07DA001,1,1976/07/01,1430,
+07DA001,1,1976/07/02,1430,
+07DA001,1,1976/07/03,1350,
+07DA001,1,1976/07/04,1280,
+07DA001,1,1976/07/05,1350,
+07DA001,1,1976/07/06,1600,
+07DA001,1,1976/07/07,1550,
+07DA001,1,1976/07/08,1410,
+07DA001,1,1976/07/09,1270,
+07DA001,1,1976/07/10,1250,
+07DA001,1,1976/07/11,1280,
+07DA001,1,1976/07/12,1300,
+07DA001,1,1976/07/13,1390,E
+07DA001,1,1976/07/14,1440,E
+07DA001,1,1976/07/15,1490,E
+07DA001,1,1976/07/16,1470,E
+07DA001,1,1976/07/17,1420,E
+07DA001,1,1976/07/18,1390,E
+07DA001,1,1976/07/19,1330,E
+07DA001,1,1976/07/20,1330,E
+07DA001,1,1976/07/21,1290,E
+07DA001,1,1976/07/22,1230,E
+07DA001,1,1976/07/23,1220,E
+07DA001,1,1976/07/24,1240,E
+07DA001,1,1976/07/25,1220,E
+07DA001,1,1976/07/26,1180,E
+07DA001,1,1976/07/27,1130,E
+07DA001,1,1976/07/28,1080,E
+07DA001,1,1976/07/29,1070,A
+07DA001,1,1976/07/30,1090,
+07DA001,1,1976/07/31,1150,
+07DA001,1,1976/08/01,1170,
+07DA001,1,1976/08/02,1150,
+07DA001,1,1976/08/03,1090,
+07DA001,1,1976/08/04,1060,
+07DA001,1,1976/08/05,1090,
+07DA001,1,1976/08/06,1100,
+07DA001,1,1976/08/07,1130,
+07DA001,1,1976/08/08,1220,
+07DA001,1,1976/08/09,1410,
+07DA001,1,1976/08/10,1450,
+07DA001,1,1976/08/11,1400,
+07DA001,1,1976/08/12,1350,
+07DA001,1,1976/08/13,1370,
+07DA001,1,1976/08/14,1390,
+07DA001,1,1976/08/15,1380,
+07DA001,1,1976/08/16,1300,
+07DA001,1,1976/08/17,1220,
+07DA001,1,1976/08/18,1160,
+07DA001,1,1976/08/19,1170,A
+07DA001,1,1976/08/20,1220,A
+07DA001,1,1976/08/21,1700,
+07DA001,1,1976/08/22,1800,
+07DA001,1,1976/08/23,1590,
+07DA001,1,1976/08/24,1400,
+07DA001,1,1976/08/25,1300,
+07DA001,1,1976/08/26,1280,
+07DA001,1,1976/08/27,1520,
+07DA001,1,1976/08/28,1650,
+07DA001,1,1976/08/29,1740,
+07DA001,1,1976/08/30,1950,
+07DA001,1,1976/08/31,2080,
+07DA001,1,1976/09/01,2000,
+07DA001,1,1976/09/02,1870,
+07DA001,1,1976/09/03,1720,
+07DA001,1,1976/09/04,1610,
+07DA001,1,1976/09/05,1530,
+07DA001,1,1976/09/06,1460,
+07DA001,1,1976/09/07,1470,
+07DA001,1,1976/09/08,1480,
+07DA001,1,1976/09/09,1450,
+07DA001,1,1976/09/10,1390,
+07DA001,1,1976/09/11,1410,
+07DA001,1,1976/09/12,1460,
+07DA001,1,1976/09/13,1400,
+07DA001,1,1976/09/14,1310,
+07DA001,1,1976/09/15,1230,
+07DA001,1,1976/09/16,1180,
+07DA001,1,1976/09/17,1160,
+07DA001,1,1976/09/18,1130,
+07DA001,1,1976/09/19,1080,
+07DA001,1,1976/09/20,1030,
+07DA001,1,1976/09/21,988,
+07DA001,1,1976/09/22,943,
+07DA001,1,1976/09/23,909,
+07DA001,1,1976/09/24,883,
+07DA001,1,1976/09/25,861,
+07DA001,1,1976/09/26,835,
+07DA001,1,1976/09/27,810,
+07DA001,1,1976/09/28,787,
+07DA001,1,1976/09/29,767,
+07DA001,1,1976/09/30,753,
+07DA001,1,1976/10/01,739,
+07DA001,1,1976/10/02,722,
+07DA001,1,1976/10/03,739,
+07DA001,1,1976/10/04,750,
+07DA001,1,1976/10/05,750,
+07DA001,1,1976/10/06,750,
+07DA001,1,1976/10/07,762,
+07DA001,1,1976/10/08,784,
+07DA001,1,1976/10/09,787,
+07DA001,1,1976/10/10,787,
+07DA001,1,1976/10/11,782,
+07DA001,1,1976/10/12,770,
+07DA001,1,1976/10/13,756,
+07DA001,1,1976/10/14,753,
+07DA001,1,1976/10/15,742,
+07DA001,1,1976/10/16,736,
+07DA001,1,1976/10/17,728,
+07DA001,1,1976/10/18,725,
+07DA001,1,1976/10/19,719,
+07DA001,1,1976/10/20,708,
+07DA001,1,1976/10/21,688,
+07DA001,1,1976/10/22,674,
+07DA001,1,1976/10/23,640,
+07DA001,1,1976/10/24,631,
+07DA001,1,1976/10/25,626,
+07DA001,1,1976/10/26,609,
+07DA001,1,1976/10/27,617,
+07DA001,1,1976/10/28,617,
+07DA001,1,1976/10/29,603,
+07DA001,1,1976/10/30,589,
+07DA001,1,1976/10/31,586,
+07DA001,1,1976/11/01,572,
+07DA001,1,1976/11/02,561,
+07DA001,1,1976/11/03,547,
+07DA001,1,1976/11/04,544,
+07DA001,1,1976/11/05,524,B
+07DA001,1,1976/11/06,510,B
+07DA001,1,1976/11/07,496,B
+07DA001,1,1976/11/08,481,B
+07DA001,1,1976/11/09,467,B
+07DA001,1,1976/11/10,453,B
+07DA001,1,1976/11/11,439,B
+07DA001,1,1976/11/12,425,B
+07DA001,1,1976/11/13,396,B
+07DA001,1,1976/11/14,382,B
+07DA001,1,1976/11/15,365,B
+07DA001,1,1976/11/16,331,B
+07DA001,1,1976/11/17,286,B
+07DA001,1,1976/11/18,255,B
+07DA001,1,1976/11/19,227,B
+07DA001,1,1976/11/20,204,B
+07DA001,1,1976/11/21,187,B
+07DA001,1,1976/11/22,170,B
+07DA001,1,1976/11/23,159,B
+07DA001,1,1976/11/24,147,B
+07DA001,1,1976/11/25,142,B
+07DA001,1,1976/11/26,136,B
+07DA001,1,1976/11/27,133,B
+07DA001,1,1976/11/28,130,B
+07DA001,1,1976/11/29,130,B
+07DA001,1,1976/11/30,130,B
+07DA001,1,1976/12/01,130,B
+07DA001,1,1976/12/02,130,B
+07DA001,1,1976/12/03,136,B
+07DA001,1,1976/12/04,140,B
+07DA001,1,1976/12/05,142,B
+07DA001,1,1976/12/06,147,B
+07DA001,1,1976/12/07,153,B
+07DA001,1,1976/12/08,159,B
+07DA001,1,1976/12/09,164,B
+07DA001,1,1976/12/10,170,B
+07DA001,1,1976/12/11,176,B
+07DA001,1,1976/12/12,181,B
+07DA001,1,1976/12/13,187,B
+07DA001,1,1976/12/14,193,B
+07DA001,1,1976/12/15,198,B
+07DA001,1,1976/12/16,204,B
+07DA001,1,1976/12/17,213,B
+07DA001,1,1976/12/18,217,B
+07DA001,1,1976/12/19,221,B
+07DA001,1,1976/12/20,226,B
+07DA001,1,1976/12/21,228,B
+07DA001,1,1976/12/22,231,B
+07DA001,1,1976/12/23,232,B
+07DA001,1,1976/12/24,232,B
+07DA001,1,1976/12/25,232,B
+07DA001,1,1976/12/26,232,B
+07DA001,1,1976/12/27,231,B
+07DA001,1,1976/12/28,229,B
+07DA001,1,1976/12/29,228,B
+07DA001,1,1976/12/30,227,B
+07DA001,1,1976/12/31,225,B
+07DA001,1,1977/01/01,227,B
+07DA001,1,1977/01/02,226,B
+07DA001,1,1977/01/03,225,B
+07DA001,1,1977/01/04,225,B
+07DA001,1,1977/01/05,224,B
+07DA001,1,1977/01/06,223,B
+07DA001,1,1977/01/07,225,B
+07DA001,1,1977/01/08,220,B
+07DA001,1,1977/01/09,216,B
+07DA001,1,1977/01/10,211,B
+07DA001,1,1977/01/11,207,B
+07DA001,1,1977/01/12,205,B
+07DA001,1,1977/01/13,204,B
+07DA001,1,1977/01/14,202,B
+07DA001,1,1977/01/15,202,B
+07DA001,1,1977/01/16,201,B
+07DA001,1,1977/01/17,201,B
+07DA001,1,1977/01/18,201,B
+07DA001,1,1977/01/19,200,B
+07DA001,1,1977/01/20,200,B
+07DA001,1,1977/01/21,200,B
+07DA001,1,1977/01/22,201,B
+07DA001,1,1977/01/23,202,B
+07DA001,1,1977/01/24,202,B
+07DA001,1,1977/01/25,203,B
+07DA001,1,1977/01/26,203,B
+07DA001,1,1977/01/27,203,B
+07DA001,1,1977/01/28,203,B
+07DA001,1,1977/01/29,202,B
+07DA001,1,1977/01/30,202,B
+07DA001,1,1977/01/31,202,B
+07DA001,1,1977/02/01,202,B
+07DA001,1,1977/02/02,202,B
+07DA001,1,1977/02/03,202,B
+07DA001,1,1977/02/04,203,B
+07DA001,1,1977/02/05,201,B
+07DA001,1,1977/02/06,200,B
+07DA001,1,1977/02/07,200,B
+07DA001,1,1977/02/08,200,B
+07DA001,1,1977/02/09,201,B
+07DA001,1,1977/02/10,205,B
+07DA001,1,1977/02/11,205,B
+07DA001,1,1977/02/12,206,B
+07DA001,1,1977/02/13,206,B
+07DA001,1,1977/02/14,205,B
+07DA001,1,1977/02/15,205,B
+07DA001,1,1977/02/16,206,B
+07DA001,1,1977/02/17,207,B
+07DA001,1,1977/02/18,208,B
+07DA001,1,1977/02/19,211,B
+07DA001,1,1977/02/20,213,B
+07DA001,1,1977/02/21,215,B
+07DA001,1,1977/02/22,216,B
+07DA001,1,1977/02/23,216,B
+07DA001,1,1977/02/24,207,B
+07DA001,1,1977/02/25,217,B
+07DA001,1,1977/02/26,221,B
+07DA001,1,1977/02/27,223,B
+07DA001,1,1977/02/28,227,B
+07DA001,1,1977/03/01,223,B
+07DA001,1,1977/03/02,222,B
+07DA001,1,1977/03/03,222,B
+07DA001,1,1977/03/04,225,B
+07DA001,1,1977/03/05,223,B
+07DA001,1,1977/03/06,223,B
+07DA001,1,1977/03/07,223,B
+07DA001,1,1977/03/08,221,B
+07DA001,1,1977/03/09,220,B
+07DA001,1,1977/03/10,221,B
+07DA001,1,1977/03/11,222,B
+07DA001,1,1977/03/12,222,B
+07DA001,1,1977/03/13,223,B
+07DA001,1,1977/03/14,223,B
+07DA001,1,1977/03/15,223,B
+07DA001,1,1977/03/16,223,B
+07DA001,1,1977/03/17,223,B
+07DA001,1,1977/03/18,223,B
+07DA001,1,1977/03/19,223,B
+07DA001,1,1977/03/20,223,B
+07DA001,1,1977/03/21,223,B
+07DA001,1,1977/03/22,223,B
+07DA001,1,1977/03/23,223,B
+07DA001,1,1977/03/24,223,B
+07DA001,1,1977/03/25,223,B
+07DA001,1,1977/03/26,223,B
+07DA001,1,1977/03/27,223,B
+07DA001,1,1977/03/28,223,B
+07DA001,1,1977/03/29,222,B
+07DA001,1,1977/03/30,229,B
+07DA001,1,1977/03/31,245,B
+07DA001,1,1977/04/01,262,B
+07DA001,1,1977/04/02,279,B
+07DA001,1,1977/04/03,294,B
+07DA001,1,1977/04/04,309,B
+07DA001,1,1977/04/05,323,B
+07DA001,1,1977/04/06,337,B
+07DA001,1,1977/04/07,354,B
+07DA001,1,1977/04/08,385,B
+07DA001,1,1977/04/09,439,B
+07DA001,1,1977/04/10,521,B
+07DA001,1,1977/04/11,592,B
+07DA001,1,1977/04/12,688,B
+07DA001,1,1977/04/13,767,B
+07DA001,1,1977/04/14,807,B
+07DA001,1,1977/04/15,850,B
+07DA001,1,1977/04/16,934,B
+07DA001,1,1977/04/17,1020,B
+07DA001,1,1977/04/18,1100,B
+07DA001,1,1977/04/19,1190,B
+07DA001,1,1977/04/20,1220,B
+07DA001,1,1977/04/21,1190,B
+07DA001,1,1977/04/22,1130,B
+07DA001,1,1977/04/23,1050,B
+07DA001,1,1977/04/24,991,B
+07DA001,1,1977/04/25,963,B
+07DA001,1,1977/04/26,943,B
+07DA001,1,1977/04/27,920,B
+07DA001,1,1977/04/28,898,B
+07DA001,1,1977/04/29,875,B
+07DA001,1,1977/04/30,855,
+07DA001,1,1977/05/01,793,
+07DA001,1,1977/05/02,838,
+07DA001,1,1977/05/03,875,
+07DA001,1,1977/05/04,875,
+07DA001,1,1977/05/05,850,
+07DA001,1,1977/05/06,818,
+07DA001,1,1977/05/07,790,
+07DA001,1,1977/05/08,776,
+07DA001,1,1977/05/09,864,
+07DA001,1,1977/05/10,1740,
+07DA001,1,1977/05/11,1720,
+07DA001,1,1977/05/12,1590,
+07DA001,1,1977/05/13,1500,
+07DA001,1,1977/05/14,1460,
+07DA001,1,1977/05/15,1450,
+07DA001,1,1977/05/16,1710,
+07DA001,1,1977/05/17,1740,
+07DA001,1,1977/05/18,1600,
+07DA001,1,1977/05/19,1540,
+07DA001,1,1977/05/20,1590,
+07DA001,1,1977/05/21,1720,
+07DA001,1,1977/05/22,1730,
+07DA001,1,1977/05/23,1700,
+07DA001,1,1977/05/24,1640,
+07DA001,1,1977/05/25,1590,
+07DA001,1,1977/05/26,1550,
+07DA001,1,1977/05/27,1500,
+07DA001,1,1977/05/28,1480,
+07DA001,1,1977/05/29,1550,
+07DA001,1,1977/05/30,1630,
+07DA001,1,1977/05/31,1650,
+07DA001,1,1977/06/01,2060,
+07DA001,1,1977/06/02,2710,
+07DA001,1,1977/06/03,2800,
+07DA001,1,1977/06/04,2590,
+07DA001,1,1977/06/05,2480,
+07DA001,1,1977/06/06,2450,
+07DA001,1,1977/06/07,2320,
+07DA001,1,1977/06/08,2060,
+07DA001,1,1977/06/09,1840,
+07DA001,1,1977/06/10,1670,
+07DA001,1,1977/06/11,1600,
+07DA001,1,1977/06/12,1770,
+07DA001,1,1977/06/13,1870,
+07DA001,1,1977/06/14,1730,
+07DA001,1,1977/06/15,1530,
+07DA001,1,1977/06/16,1380,
+07DA001,1,1977/06/17,1320,
+07DA001,1,1977/06/18,1380,
+07DA001,1,1977/06/19,1460,
+07DA001,1,1977/06/20,1440,
+07DA001,1,1977/06/21,1380,
+07DA001,1,1977/06/22,1340,
+07DA001,1,1977/06/23,1320,
+07DA001,1,1977/06/24,1330,
+07DA001,1,1977/06/25,1350,
+07DA001,1,1977/06/26,1340,
+07DA001,1,1977/06/27,1300,
+07DA001,1,1977/06/28,1240,
+07DA001,1,1977/06/29,1160,
+07DA001,1,1977/06/30,1080,
+07DA001,1,1977/07/01,1060,
+07DA001,1,1977/07/02,1020,
+07DA001,1,1977/07/03,971,
+07DA001,1,1977/07/04,940,
+07DA001,1,1977/07/05,937,
+07DA001,1,1977/07/06,932,
+07DA001,1,1977/07/07,1010,
+07DA001,1,1977/07/08,1140,
+07DA001,1,1977/07/09,1150,
+07DA001,1,1977/07/10,1250,
+07DA001,1,1977/07/11,1530,
+07DA001,1,1977/07/12,1640,
+07DA001,1,1977/07/13,1620,
+07DA001,1,1977/07/14,1670,
+07DA001,1,1977/07/15,1750,
+07DA001,1,1977/07/16,1870,
+07DA001,1,1977/07/17,1840,
+07DA001,1,1977/07/18,1790,
+07DA001,1,1977/07/19,1830,
+07DA001,1,1977/07/20,1850,
+07DA001,1,1977/07/21,1800,
+07DA001,1,1977/07/22,1750,
+07DA001,1,1977/07/23,1680,
+07DA001,1,1977/07/24,1550,
+07DA001,1,1977/07/25,1410,
+07DA001,1,1977/07/26,1300,
+07DA001,1,1977/07/27,1250,
+07DA001,1,1977/07/28,1230,
+07DA001,1,1977/07/29,1190,
+07DA001,1,1977/07/30,1150,
+07DA001,1,1977/07/31,1120,
+07DA001,1,1977/08/01,1120,
+07DA001,1,1977/08/02,1160,
+07DA001,1,1977/08/03,1340,
+07DA001,1,1977/08/04,1520,
+07DA001,1,1977/08/05,1450,
+07DA001,1,1977/08/06,1320,
+07DA001,1,1977/08/07,1240,
+07DA001,1,1977/08/08,1210,
+07DA001,1,1977/08/09,1200,
+07DA001,1,1977/08/10,1150,
+07DA001,1,1977/08/11,1100,
+07DA001,1,1977/08/12,1040,
+07DA001,1,1977/08/13,1020,
+07DA001,1,1977/08/14,1030,
+07DA001,1,1977/08/15,1070,
+07DA001,1,1977/08/16,1050,
+07DA001,1,1977/08/17,1020,
+07DA001,1,1977/08/18,1030,
+07DA001,1,1977/08/19,1060,
+07DA001,1,1977/08/20,1050,
+07DA001,1,1977/08/21,991,
+07DA001,1,1977/08/22,929,
+07DA001,1,1977/08/23,892,
+07DA001,1,1977/08/24,889,
+07DA001,1,1977/08/25,909,
+07DA001,1,1977/08/26,915,
+07DA001,1,1977/08/27,920,
+07DA001,1,1977/08/28,946,
+07DA001,1,1977/08/29,1010,
+07DA001,1,1977/08/30,1040,
+07DA001,1,1977/08/31,1030,
+07DA001,1,1977/09/01,966,
+07DA001,1,1977/09/02,932,
+07DA001,1,1977/09/03,937,
+07DA001,1,1977/09/04,1010,
+07DA001,1,1977/09/05,1120,
+07DA001,1,1977/09/06,1160,
+07DA001,1,1977/09/07,1100,
+07DA001,1,1977/09/08,1040,
+07DA001,1,1977/09/09,1040,
+07DA001,1,1977/09/10,1050,
+07DA001,1,1977/09/11,1060,
+07DA001,1,1977/09/12,1030,
+07DA001,1,1977/09/13,974,
+07DA001,1,1977/09/14,929,
+07DA001,1,1977/09/15,881,
+07DA001,1,1977/09/16,838,
+07DA001,1,1977/09/17,804,
+07DA001,1,1977/09/18,770,
+07DA001,1,1977/09/19,750,
+07DA001,1,1977/09/20,773,
+07DA001,1,1977/09/21,841,
+07DA001,1,1977/09/22,858,
+07DA001,1,1977/09/23,872,
+07DA001,1,1977/09/24,872,
+07DA001,1,1977/09/25,852,
+07DA001,1,1977/09/26,835,
+07DA001,1,1977/09/27,833,
+07DA001,1,1977/09/28,824,
+07DA001,1,1977/09/29,801,
+07DA001,1,1977/09/30,790,
+07DA001,1,1977/10/01,824,
+07DA001,1,1977/10/02,915,
+07DA001,1,1977/10/03,966,
+07DA001,1,1977/10/04,934,
+07DA001,1,1977/10/05,892,
+07DA001,1,1977/10/06,858,
+07DA001,1,1977/10/07,835,
+07DA001,1,1977/10/08,816,
+07DA001,1,1977/10/09,804,
+07DA001,1,1977/10/10,765,
+07DA001,1,1977/10/11,753,
+07DA001,1,1977/10/12,733,
+07DA001,1,1977/10/13,725,
+07DA001,1,1977/10/14,716,
+07DA001,1,1977/10/15,705,
+07DA001,1,1977/10/16,697,
+07DA001,1,1977/10/17,691,
+07DA001,1,1977/10/18,688,
+07DA001,1,1977/10/19,682,
+07DA001,1,1977/10/20,682,
+07DA001,1,1977/10/21,668,
+07DA001,1,1977/10/22,660,
+07DA001,1,1977/10/23,654,
+07DA001,1,1977/10/24,646,
+07DA001,1,1977/10/25,640,
+07DA001,1,1977/10/26,634,
+07DA001,1,1977/10/27,634,A
+07DA001,1,1977/10/28,620,
+07DA001,1,1977/10/29,612,
+07DA001,1,1977/10/30,609,
+07DA001,1,1977/10/31,606,
+07DA001,1,1977/11/01,597,
+07DA001,1,1977/11/02,597,
+07DA001,1,1977/11/03,595,
+07DA001,1,1977/11/04,580,
+07DA001,1,1977/11/05,578,
+07DA001,1,1977/11/06,580,
+07DA001,1,1977/11/07,578,
+07DA001,1,1977/11/08,564,E
+07DA001,1,1977/11/09,521,
+07DA001,1,1977/11/10,504,
+07DA001,1,1977/11/11,473,
+07DA001,1,1977/11/12,430,B
+07DA001,1,1977/11/13,394,B
+07DA001,1,1977/11/14,357,B
+07DA001,1,1977/11/15,320,B
+07DA001,1,1977/11/16,286,B
+07DA001,1,1977/11/17,258,B
+07DA001,1,1977/11/18,235,B
+07DA001,1,1977/11/19,218,B
+07DA001,1,1977/11/20,201,B
+07DA001,1,1977/11/21,187,B
+07DA001,1,1977/11/22,170,B
+07DA001,1,1977/11/23,159,B
+07DA001,1,1977/11/24,153,B
+07DA001,1,1977/11/25,147,B
+07DA001,1,1977/11/26,147,B
+07DA001,1,1977/11/27,146,B
+07DA001,1,1977/11/28,144,B
+07DA001,1,1977/11/29,146,B
+07DA001,1,1977/11/30,147,B
+07DA001,1,1977/12/01,147,B
+07DA001,1,1977/12/02,150,B
+07DA001,1,1977/12/03,153,B
+07DA001,1,1977/12/04,156,B
+07DA001,1,1977/12/05,161,B
+07DA001,1,1977/12/06,170,B
+07DA001,1,1977/12/07,178,B
+07DA001,1,1977/12/08,185,B
+07DA001,1,1977/12/09,193,B
+07DA001,1,1977/12/10,198,B
+07DA001,1,1977/12/11,207,B
+07DA001,1,1977/12/12,212,B
+07DA001,1,1977/12/13,221,B
+07DA001,1,1977/12/14,227,B
+07DA001,1,1977/12/15,229,B
+07DA001,1,1977/12/16,235,B
+07DA001,1,1977/12/17,238,B
+07DA001,1,1977/12/18,241,B
+07DA001,1,1977/12/19,245,B
+07DA001,1,1977/12/20,249,B
+07DA001,1,1977/12/21,252,B
+07DA001,1,1977/12/22,255,B
+07DA001,1,1977/12/23,258,B
+07DA001,1,1977/12/24,259,B
+07DA001,1,1977/12/25,261,B
+07DA001,1,1977/12/26,262,B
+07DA001,1,1977/12/27,263,B
+07DA001,1,1977/12/28,263,B
+07DA001,1,1977/12/29,263,B
+07DA001,1,1977/12/30,263,B
+07DA001,1,1977/12/31,263,B
+07DA001,1,1978/01/01,247,B
+07DA001,1,1978/01/02,245,B
+07DA001,1,1978/01/03,244,B
+07DA001,1,1978/01/04,242,B
+07DA001,1,1978/01/05,238,B
+07DA001,1,1978/01/06,234,B
+07DA001,1,1978/01/07,234,B
+07DA001,1,1978/01/08,235,B
+07DA001,1,1978/01/09,234,B
+07DA001,1,1978/01/10,232,B
+07DA001,1,1978/01/11,229,B
+07DA001,1,1978/01/12,224,B
+07DA001,1,1978/01/13,223,B
+07DA001,1,1978/01/14,222,B
+07DA001,1,1978/01/15,220,B
+07DA001,1,1978/01/16,219,B
+07DA001,1,1978/01/17,219,B
+07DA001,1,1978/01/18,219,B
+07DA001,1,1978/01/19,219,B
+07DA001,1,1978/01/20,219,B
+07DA001,1,1978/01/21,219,B
+07DA001,1,1978/01/22,219,B
+07DA001,1,1978/01/23,219,B
+07DA001,1,1978/01/24,218,B
+07DA001,1,1978/01/25,217,B
+07DA001,1,1978/01/26,215,B
+07DA001,1,1978/01/27,215,B
+07DA001,1,1978/01/28,214,B
+07DA001,1,1978/01/29,212,B
+07DA001,1,1978/01/30,211,B
+07DA001,1,1978/01/31,206,B
+07DA001,1,1978/02/01,205,B
+07DA001,1,1978/02/02,206,B
+07DA001,1,1978/02/03,206,B
+07DA001,1,1978/02/04,208,B
+07DA001,1,1978/02/05,204,B
+07DA001,1,1978/02/06,203,B
+07DA001,1,1978/02/07,201,B
+07DA001,1,1978/02/08,198,B
+07DA001,1,1978/02/09,195,B
+07DA001,1,1978/02/10,191,B
+07DA001,1,1978/02/11,189,B
+07DA001,1,1978/02/12,186,B
+07DA001,1,1978/02/13,183,B
+07DA001,1,1978/02/14,183,B
+07DA001,1,1978/02/15,183,B
+07DA001,1,1978/02/16,183,B
+07DA001,1,1978/02/17,183,B
+07DA001,1,1978/02/18,183,B
+07DA001,1,1978/02/19,183,B
+07DA001,1,1978/02/20,183,B
+07DA001,1,1978/02/21,183,B
+07DA001,1,1978/02/22,182,B
+07DA001,1,1978/02/23,183,B
+07DA001,1,1978/02/24,183,B
+07DA001,1,1978/02/25,183,B
+07DA001,1,1978/02/26,183,B
+07DA001,1,1978/02/27,183,B
+07DA001,1,1978/02/28,185,B
+07DA001,1,1978/03/01,186,B
+07DA001,1,1978/03/02,188,B
+07DA001,1,1978/03/03,190,B
+07DA001,1,1978/03/04,191,B
+07DA001,1,1978/03/05,193,B
+07DA001,1,1978/03/06,195,B
+07DA001,1,1978/03/07,197,B
+07DA001,1,1978/03/08,198,B
+07DA001,1,1978/03/09,197,B
+07DA001,1,1978/03/10,195,B
+07DA001,1,1978/03/11,193,B
+07DA001,1,1978/03/12,190,B
+07DA001,1,1978/03/13,187,B
+07DA001,1,1978/03/14,185,B
+07DA001,1,1978/03/15,184,B
+07DA001,1,1978/03/16,185,B
+07DA001,1,1978/03/17,186,B
+07DA001,1,1978/03/18,187,B
+07DA001,1,1978/03/19,189,B
+07DA001,1,1978/03/20,191,B
+07DA001,1,1978/03/21,193,B
+07DA001,1,1978/03/22,194,B
+07DA001,1,1978/03/23,195,B
+07DA001,1,1978/03/24,195,B
+07DA001,1,1978/03/25,197,B
+07DA001,1,1978/03/26,200,B
+07DA001,1,1978/03/27,221,B
+07DA001,1,1978/03/28,227,B
+07DA001,1,1978/03/29,235,B
+07DA001,1,1978/03/30,241,B
+07DA001,1,1978/03/31,246,B
+07DA001,1,1978/04/01,252,B
+07DA001,1,1978/04/02,257,B
+07DA001,1,1978/04/03,278,B
+07DA001,1,1978/04/04,292,B
+07DA001,1,1978/04/05,297,B
+07DA001,1,1978/04/06,309,B
+07DA001,1,1978/04/07,348,B
+07DA001,1,1978/04/08,416,B
+07DA001,1,1978/04/09,447,B
+07DA001,1,1978/04/10,445,B
+07DA001,1,1978/04/11,462,B
+07DA001,1,1978/04/12,487,B
+07DA001,1,1978/04/13,481,B
+07DA001,1,1978/04/14,481,B
+07DA001,1,1978/04/15,496,B
+07DA001,1,1978/04/16,501,B
+07DA001,1,1978/04/17,532,B
+07DA001,1,1978/04/18,561,B
+07DA001,1,1978/04/19,651,B
+07DA001,1,1978/04/20,595,B
+07DA001,1,1978/04/21,521,B
+07DA001,1,1978/04/22,507,B
+07DA001,1,1978/04/23,561,B
+07DA001,1,1978/04/24,538,B
+07DA001,1,1978/04/25,680,B
+07DA001,1,1978/04/26,793,B
+07DA001,1,1978/04/27,934,B
+07DA001,1,1978/04/28,1100,B
+07DA001,1,1978/04/29,1170,E
+07DA001,1,1978/04/30,1250,E
+07DA001,1,1978/05/01,1380,E
+07DA001,1,1978/05/02,1430,E
+07DA001,1,1978/05/03,1530,E
+07DA001,1,1978/05/04,1560,A
+07DA001,1,1978/05/05,1520,
+07DA001,1,1978/05/06,1460,
+07DA001,1,1978/05/07,1390,
+07DA001,1,1978/05/08,1310,
+07DA001,1,1978/05/09,1230,
+07DA001,1,1978/05/10,1130,
+07DA001,1,1978/05/11,1040,
+07DA001,1,1978/05/12,980,
+07DA001,1,1978/05/13,923,
+07DA001,1,1978/05/14,881,
+07DA001,1,1978/05/15,864,
+07DA001,1,1978/05/16,858,
+07DA001,1,1978/05/17,858,
+07DA001,1,1978/05/18,858,
+07DA001,1,1978/05/19,850,
+07DA001,1,1978/05/20,838,
+07DA001,1,1978/05/21,844,
+07DA001,1,1978/05/22,917,
+07DA001,1,1978/05/23,985,
+07DA001,1,1978/05/24,946,
+07DA001,1,1978/05/25,946,
+07DA001,1,1978/05/26,983,
+07DA001,1,1978/05/27,1110,
+07DA001,1,1978/05/28,1250,
+07DA001,1,1978/05/29,1260,
+07DA001,1,1978/05/30,1280,
+07DA001,1,1978/05/31,1390,
+07DA001,1,1978/06/01,1410,
+07DA001,1,1978/06/02,1370,
+07DA001,1,1978/06/03,1320,
+07DA001,1,1978/06/04,1290,
+07DA001,1,1978/06/05,1290,
+07DA001,1,1978/06/06,1260,
+07DA001,1,1978/06/07,1300,E
+07DA001,1,1978/06/08,1420,E
+07DA001,1,1978/06/09,1470,E
+07DA001,1,1978/06/10,1560,E
+07DA001,1,1978/06/11,1640,E
+07DA001,1,1978/06/12,1590,E
+07DA001,1,1978/06/13,1530,E
+07DA001,1,1978/06/14,1470,E
+07DA001,1,1978/06/15,1440,E
+07DA001,1,1978/06/16,1420,E
+07DA001,1,1978/06/17,1670,E
+07DA001,1,1978/06/18,1980,E
+07DA001,1,1978/06/19,2200,A
+07DA001,1,1978/06/20,2170,A
+07DA001,1,1978/06/21,1930,A
+07DA001,1,1978/06/22,1810,E
+07DA001,1,1978/06/23,1700,E
+07DA001,1,1978/06/24,1610,A
+07DA001,1,1978/06/25,1640,E
+07DA001,1,1978/06/26,1650,A
+07DA001,1,1978/06/27,1730,
+07DA001,1,1978/06/28,1720,
+07DA001,1,1978/06/29,1590,
+07DA001,1,1978/06/30,1470,
+07DA001,1,1978/07/01,1390,
+07DA001,1,1978/07/02,1320,
+07DA001,1,1978/07/03,1290,
+07DA001,1,1978/07/04,1310,
+07DA001,1,1978/07/05,1360,
+07DA001,1,1978/07/06,1340,
+07DA001,1,1978/07/07,1260,
+07DA001,1,1978/07/08,1170,
+07DA001,1,1978/07/09,1100,
+07DA001,1,1978/07/10,1060,
+07DA001,1,1978/07/11,1060,
+07DA001,1,1978/07/12,1070,
+07DA001,1,1978/07/13,1110,
+07DA001,1,1978/07/14,1150,
+07DA001,1,1978/07/15,1600,
+07DA001,1,1978/07/16,2390,
+07DA001,1,1978/07/17,2330,
+07DA001,1,1978/07/18,2030,
+07DA001,1,1978/07/19,1810,
+07DA001,1,1978/07/20,1650,
+07DA001,1,1978/07/21,1500,
+07DA001,1,1978/07/22,1400,
+07DA001,1,1978/07/23,1310,
+07DA001,1,1978/07/24,1220,
+07DA001,1,1978/07/25,1130,
+07DA001,1,1978/07/26,1050,
+07DA001,1,1978/07/27,1000,
+07DA001,1,1978/07/28,980,
+07DA001,1,1978/07/29,1010,
+07DA001,1,1978/07/30,1020,
+07DA001,1,1978/07/31,1030,
+07DA001,1,1978/08/01,1130,
+07DA001,1,1978/08/02,1230,
+07DA001,1,1978/08/03,1210,
+07DA001,1,1978/08/04,1120,
+07DA001,1,1978/08/05,1040,
+07DA001,1,1978/08/06,980,
+07DA001,1,1978/08/07,932,
+07DA001,1,1978/08/08,886,
+07DA001,1,1978/08/09,847,
+07DA001,1,1978/08/10,821,
+07DA001,1,1978/08/11,844,
+07DA001,1,1978/08/12,835,
+07DA001,1,1978/08/13,835,E
+07DA001,1,1978/08/14,850,E
+07DA001,1,1978/08/15,878,E
+07DA001,1,1978/08/16,906,E
+07DA001,1,1978/08/17,920,E
+07DA001,1,1978/08/18,934,E
+07DA001,1,1978/08/19,934,E
+07DA001,1,1978/08/20,906,E
+07DA001,1,1978/08/21,878,E
+07DA001,1,1978/08/22,864,E
+07DA001,1,1978/08/23,858,E
+07DA001,1,1978/08/24,872,A
+07DA001,1,1978/08/25,895,A
+07DA001,1,1978/08/26,920,A
+07DA001,1,1978/08/27,963,E
+07DA001,1,1978/08/28,949,E
+07DA001,1,1978/08/29,934,E
+07DA001,1,1978/08/30,920,E
+07DA001,1,1978/08/31,906,E
+07DA001,1,1978/09/01,898,E
+07DA001,1,1978/09/02,892,E
+07DA001,1,1978/09/03,886,E
+07DA001,1,1978/09/04,878,E
+07DA001,1,1978/09/05,878,E
+07DA001,1,1978/09/06,892,E
+07DA001,1,1978/09/07,934,E
+07DA001,1,1978/09/08,1130,E
+07DA001,1,1978/09/09,1420,E
+07DA001,1,1978/09/10,1700,E
+07DA001,1,1978/09/11,1780,E
+07DA001,1,1978/09/12,1870,E
+07DA001,1,1978/09/13,1850,A
+07DA001,1,1978/09/14,1830,
+07DA001,1,1978/09/15,1820,
+07DA001,1,1978/09/16,1840,
+07DA001,1,1978/09/17,1890,
+07DA001,1,1978/09/18,1910,
+07DA001,1,1978/09/19,1920,
+07DA001,1,1978/09/20,1940,
+07DA001,1,1978/09/21,1940,
+07DA001,1,1978/09/22,1890,
+07DA001,1,1978/09/23,1850,
+07DA001,1,1978/09/24,1770,
+07DA001,1,1978/09/25,1670,
+07DA001,1,1978/09/26,1570,
+07DA001,1,1978/09/27,1470,
+07DA001,1,1978/09/28,1380,
+07DA001,1,1978/09/29,1310,
+07DA001,1,1978/09/30,1240,
+07DA001,1,1978/10/01,1240,
+07DA001,1,1978/10/02,1260,
+07DA001,1,1978/10/03,1230,
+07DA001,1,1978/10/04,1210,
+07DA001,1,1978/10/05,1150,
+07DA001,1,1978/10/06,1100,
+07DA001,1,1978/10/07,1060,
+07DA001,1,1978/10/08,1030,
+07DA001,1,1978/10/09,980,
+07DA001,1,1978/10/10,946,
+07DA001,1,1978/10/11,915,
+07DA001,1,1978/10/12,886,
+07DA001,1,1978/10/13,858,
+07DA001,1,1978/10/14,835,
+07DA001,1,1978/10/15,801,
+07DA001,1,1978/10/16,779,
+07DA001,1,1978/10/17,756,
+07DA001,1,1978/10/18,748,
+07DA001,1,1978/10/19,731,
+07DA001,1,1978/10/20,731,
+07DA001,1,1978/10/21,714,
+07DA001,1,1978/10/22,697,
+07DA001,1,1978/10/23,680,
+07DA001,1,1978/10/24,674,
+07DA001,1,1978/10/25,665,
+07DA001,1,1978/10/26,663,
+07DA001,1,1978/10/27,665,
+07DA001,1,1978/10/28,677,
+07DA001,1,1978/10/29,671,
+07DA001,1,1978/10/30,648,
+07DA001,1,1978/10/31,640,
+07DA001,1,1978/11/01,637,
+07DA001,1,1978/11/02,629,
+07DA001,1,1978/11/03,614,
+07DA001,1,1978/11/04,600,
+07DA001,1,1978/11/05,589,
+07DA001,1,1978/11/06,578,
+07DA001,1,1978/11/07,583,
+07DA001,1,1978/11/08,569,B
+07DA001,1,1978/11/09,552,B
+07DA001,1,1978/11/10,524,B
+07DA001,1,1978/11/11,510,B
+07DA001,1,1978/11/12,481,B
+07DA001,1,1978/11/13,453,B
+07DA001,1,1978/11/14,439,B
+07DA001,1,1978/11/15,425,B
+07DA001,1,1978/11/16,411,B
+07DA001,1,1978/11/17,396,B
+07DA001,1,1978/11/18,382,B
+07DA001,1,1978/11/19,374,B
+07DA001,1,1978/11/20,368,B
+07DA001,1,1978/11/21,365,B
+07DA001,1,1978/11/22,362,B
+07DA001,1,1978/11/23,360,B
+07DA001,1,1978/11/24,357,B
+07DA001,1,1978/11/25,357,B
+07DA001,1,1978/11/26,354,B
+07DA001,1,1978/11/27,351,B
+07DA001,1,1978/11/28,320,B
+07DA001,1,1978/11/29,297,B
+07DA001,1,1978/11/30,274,B
+07DA001,1,1978/12/01,246,B
+07DA001,1,1978/12/02,224,B
+07DA001,1,1978/12/03,227,B
+07DA001,1,1978/12/04,292,B
+07DA001,1,1978/12/05,314,B
+07DA001,1,1978/12/06,303,B
+07DA001,1,1978/12/07,314,B
+07DA001,1,1978/12/08,306,B
+07DA001,1,1978/12/09,306,B
+07DA001,1,1978/12/10,306,B
+07DA001,1,1978/12/11,289,B
+07DA001,1,1978/12/12,276,B
+07DA001,1,1978/12/13,274,B
+07DA001,1,1978/12/14,275,B
+07DA001,1,1978/12/15,278,B
+07DA001,1,1978/12/16,283,B
+07DA001,1,1978/12/17,286,B
+07DA001,1,1978/12/18,276,B
+07DA001,1,1978/12/19,278,B
+07DA001,1,1978/12/20,276,B
+07DA001,1,1978/12/21,280,B
+07DA001,1,1978/12/22,283,B
+07DA001,1,1978/12/23,278,B
+07DA001,1,1978/12/24,278,B
+07DA001,1,1978/12/25,281,B
+07DA001,1,1978/12/26,272,B
+07DA001,1,1978/12/27,264,B
+07DA001,1,1978/12/28,261,B
+07DA001,1,1978/12/29,261,B
+07DA001,1,1978/12/30,261,B
+07DA001,1,1978/12/31,252,B
+07DA001,1,1979/01/01,246,B
+07DA001,1,1979/01/02,243,B
+07DA001,1,1979/01/03,246,B
+07DA001,1,1979/01/04,245,B
+07DA001,1,1979/01/05,246,B
+07DA001,1,1979/01/06,244,B
+07DA001,1,1979/01/07,243,B
+07DA001,1,1979/01/08,242,B
+07DA001,1,1979/01/09,240,B
+07DA001,1,1979/01/10,235,B
+07DA001,1,1979/01/11,231,B
+07DA001,1,1979/01/12,223,B
+07DA001,1,1979/01/13,216,B
+07DA001,1,1979/01/14,216,B
+07DA001,1,1979/01/15,210,B
+07DA001,1,1979/01/16,208,B
+07DA001,1,1979/01/17,207,B
+07DA001,1,1979/01/18,203,B
+07DA001,1,1979/01/19,204,B
+07DA001,1,1979/01/20,202,B
+07DA001,1,1979/01/21,199,B
+07DA001,1,1979/01/22,196,B
+07DA001,1,1979/01/23,194,B
+07DA001,1,1979/01/24,193,B
+07DA001,1,1979/01/25,190,B
+07DA001,1,1979/01/26,187,B
+07DA001,1,1979/01/27,185,B
+07DA001,1,1979/01/28,185,B
+07DA001,1,1979/01/29,184,B
+07DA001,1,1979/01/30,184,B
+07DA001,1,1979/01/31,184,B
+07DA001,1,1979/02/01,183,B
+07DA001,1,1979/02/02,184,B
+07DA001,1,1979/02/03,183,B
+07DA001,1,1979/02/04,182,B
+07DA001,1,1979/02/05,180,B
+07DA001,1,1979/02/06,179,B
+07DA001,1,1979/02/07,178,B
+07DA001,1,1979/02/08,175,B
+07DA001,1,1979/02/09,174,B
+07DA001,1,1979/02/10,174,B
+07DA001,1,1979/02/11,173,B
+07DA001,1,1979/02/12,171,B
+07DA001,1,1979/02/13,171,B
+07DA001,1,1979/02/14,170,B
+07DA001,1,1979/02/15,168,B
+07DA001,1,1979/02/16,166,B
+07DA001,1,1979/02/17,165,B
+07DA001,1,1979/02/18,163,B
+07DA001,1,1979/02/19,162,B
+07DA001,1,1979/02/20,160,B
+07DA001,1,1979/02/21,157,B
+07DA001,1,1979/02/22,157,B
+07DA001,1,1979/02/23,156,B
+07DA001,1,1979/02/24,155,B
+07DA001,1,1979/02/25,154,B
+07DA001,1,1979/02/26,153,B
+07DA001,1,1979/02/27,152,B
+07DA001,1,1979/02/28,152,B
+07DA001,1,1979/03/01,152,B
+07DA001,1,1979/03/02,152,B
+07DA001,1,1979/03/03,152,B
+07DA001,1,1979/03/04,152,B
+07DA001,1,1979/03/05,151,B
+07DA001,1,1979/03/06,151,B
+07DA001,1,1979/03/07,150,B
+07DA001,1,1979/03/08,149,B
+07DA001,1,1979/03/09,148,B
+07DA001,1,1979/03/10,148,B
+07DA001,1,1979/03/11,149,B
+07DA001,1,1979/03/12,150,B
+07DA001,1,1979/03/13,150,B
+07DA001,1,1979/03/14,151,B
+07DA001,1,1979/03/15,152,B
+07DA001,1,1979/03/16,152,B
+07DA001,1,1979/03/17,154,B
+07DA001,1,1979/03/18,158,B
+07DA001,1,1979/03/19,160,B
+07DA001,1,1979/03/20,159,B
+07DA001,1,1979/03/21,159,B
+07DA001,1,1979/03/22,163,B
+07DA001,1,1979/03/23,170,B
+07DA001,1,1979/03/24,177,B
+07DA001,1,1979/03/25,185,B
+07DA001,1,1979/03/26,211,B
+07DA001,1,1979/03/27,228,B
+07DA001,1,1979/03/28,238,B
+07DA001,1,1979/03/29,252,B
+07DA001,1,1979/03/30,269,B
+07DA001,1,1979/03/31,284,B
+07DA001,1,1979/04/01,298,B
+07DA001,1,1979/04/02,301,B
+07DA001,1,1979/04/03,295,B
+07DA001,1,1979/04/04,283,B
+07DA001,1,1979/04/05,266,B
+07DA001,1,1979/04/06,254,B
+07DA001,1,1979/04/07,242,B
+07DA001,1,1979/04/08,235,B
+07DA001,1,1979/04/09,230,B
+07DA001,1,1979/04/10,225,B
+07DA001,1,1979/04/11,218,B
+07DA001,1,1979/04/12,213,B
+07DA001,1,1979/04/13,211,B
+07DA001,1,1979/04/14,224,B
+07DA001,1,1979/04/15,242,B
+07DA001,1,1979/04/16,241,B
+07DA001,1,1979/04/17,253,B
+07DA001,1,1979/04/18,288,B
+07DA001,1,1979/04/19,319,B
+07DA001,1,1979/04/20,329,B
+07DA001,1,1979/04/21,332,B
+07DA001,1,1979/04/22,357,B
+07DA001,1,1979/04/23,391,B
+07DA001,1,1979/04/24,409,B
+07DA001,1,1979/04/25,428,B
+07DA001,1,1979/04/26,488,B
+07DA001,1,1979/04/27,578,B
+07DA001,1,1979/04/28,850,B
+07DA001,1,1979/04/29,1300,B
+07DA001,1,1979/04/30,1480,B
+07DA001,1,1979/05/01,1500,B
+07DA001,1,1979/05/02,1480,B
+07DA001,1,1979/05/03,1460,B
+07DA001,1,1979/05/04,1440,B
+07DA001,1,1979/05/05,1400,B
+07DA001,1,1979/05/06,1350,B
+07DA001,1,1979/05/07,1300,B
+07DA001,1,1979/05/08,1280,B
+07DA001,1,1979/05/09,1310,B
+07DA001,1,1979/05/10,1340,B
+07DA001,1,1979/05/11,1410,B
+07DA001,1,1979/05/12,1430,
+07DA001,1,1979/05/13,1490,
+07DA001,1,1979/05/14,1600,
+07DA001,1,1979/05/15,1710,
+07DA001,1,1979/05/16,1750,
+07DA001,1,1979/05/17,1750,
+07DA001,1,1979/05/18,1710,
+07DA001,1,1979/05/19,1700,
+07DA001,1,1979/05/20,1870,
+07DA001,1,1979/05/21,2060,
+07DA001,1,1979/05/22,1970,
+07DA001,1,1979/05/23,1850,
+07DA001,1,1979/05/24,1740,
+07DA001,1,1979/05/25,1640,
+07DA001,1,1979/05/26,1560,
+07DA001,1,1979/05/27,1480,
+07DA001,1,1979/05/28,1420,
+07DA001,1,1979/05/29,1420,
+07DA001,1,1979/05/30,1460,
+07DA001,1,1979/05/31,1510,
+07DA001,1,1979/06/01,1680,
+07DA001,1,1979/06/02,1650,
+07DA001,1,1979/06/03,1490,
+07DA001,1,1979/06/04,1360,
+07DA001,1,1979/06/05,1270,
+07DA001,1,1979/06/06,1260,
+07DA001,1,1979/06/07,1300,
+07DA001,1,1979/06/08,1480,
+07DA001,1,1979/06/09,1770,
+07DA001,1,1979/06/10,1860,
+07DA001,1,1979/06/11,1810,
+07DA001,1,1979/06/12,1670,
+07DA001,1,1979/06/13,1540,
+07DA001,1,1979/06/14,1470,
+07DA001,1,1979/06/15,1450,
+07DA001,1,1979/06/16,1510,
+07DA001,1,1979/06/17,2200,
+07DA001,1,1979/06/18,2600,
+07DA001,1,1979/06/19,2400,
+07DA001,1,1979/06/20,2170,
+07DA001,1,1979/06/21,1970,
+07DA001,1,1979/06/22,1860,
+07DA001,1,1979/06/23,1820,
+07DA001,1,1979/06/24,1800,
+07DA001,1,1979/06/25,1780,
+07DA001,1,1979/06/26,1760,
+07DA001,1,1979/06/27,1730,
+07DA001,1,1979/06/28,1660,
+07DA001,1,1979/06/29,1600,
+07DA001,1,1979/06/30,1530,
+07DA001,1,1979/07/01,1430,
+07DA001,1,1979/07/02,1380,
+07DA001,1,1979/07/03,1420,
+07DA001,1,1979/07/04,1610,
+07DA001,1,1979/07/05,1950,
+07DA001,1,1979/07/06,2210,
+07DA001,1,1979/07/07,2000,
+07DA001,1,1979/07/08,1760,
+07DA001,1,1979/07/09,1610,
+07DA001,1,1979/07/10,1540,
+07DA001,1,1979/07/11,1580,
+07DA001,1,1979/07/12,1710,
+07DA001,1,1979/07/13,1800,
+07DA001,1,1979/07/14,1930,
+07DA001,1,1979/07/15,2540,
+07DA001,1,1979/07/16,2900,
+07DA001,1,1979/07/17,2720,
+07DA001,1,1979/07/18,2440,
+07DA001,1,1979/07/19,2170,
+07DA001,1,1979/07/20,1950,
+07DA001,1,1979/07/21,1780,
+07DA001,1,1979/07/22,1680,
+07DA001,1,1979/07/23,1620,
+07DA001,1,1979/07/24,1590,
+07DA001,1,1979/07/25,1580,
+07DA001,1,1979/07/26,1580,
+07DA001,1,1979/07/27,1560,
+07DA001,1,1979/07/28,1500,
+07DA001,1,1979/07/29,1390,
+07DA001,1,1979/07/30,1290,
+07DA001,1,1979/07/31,1220,A
+07DA001,1,1979/08/01,1150,E
+07DA001,1,1979/08/02,1100,E
+07DA001,1,1979/08/03,1080,E
+07DA001,1,1979/08/04,1120,E
+07DA001,1,1979/08/05,1140,E
+07DA001,1,1979/08/06,1100,E
+07DA001,1,1979/08/07,1070,E
+07DA001,1,1979/08/08,1050,E
+07DA001,1,1979/08/09,1070,E
+07DA001,1,1979/08/10,1090,E
+07DA001,1,1979/08/11,1110,E
+07DA001,1,1979/08/12,1090,E
+07DA001,1,1979/08/13,1050,E
+07DA001,1,1979/08/14,1020,E
+07DA001,1,1979/08/15,990,E
+07DA001,1,1979/08/16,960,E
+07DA001,1,1979/08/17,930,E
+07DA001,1,1979/08/18,910,E
+07DA001,1,1979/08/19,890,E
+07DA001,1,1979/08/20,870,E
+07DA001,1,1979/08/21,850,E
+07DA001,1,1979/08/22,830,E
+07DA001,1,1979/08/23,820,E
+07DA001,1,1979/08/24,813,A
+07DA001,1,1979/08/25,804,
+07DA001,1,1979/08/26,785,
+07DA001,1,1979/08/27,773,
+07DA001,1,1979/08/28,770,E
+07DA001,1,1979/08/29,780,E
+07DA001,1,1979/08/30,780,E
+07DA001,1,1979/08/31,780,E
+07DA001,1,1979/09/01,790,E
+07DA001,1,1979/09/02,790,E
+07DA001,1,1979/09/03,760,E
+07DA001,1,1979/09/04,750,E
+07DA001,1,1979/09/05,740,E
+07DA001,1,1979/09/06,730,E
+07DA001,1,1979/09/07,720,E
+07DA001,1,1979/09/08,720,E
+07DA001,1,1979/09/09,720,E
+07DA001,1,1979/09/10,730,E
+07DA001,1,1979/09/11,740,E
+07DA001,1,1979/09/12,780,E
+07DA001,1,1979/09/13,870,E
+07DA001,1,1979/09/14,920,E
+07DA001,1,1979/09/15,930,E
+07DA001,1,1979/09/16,940,E
+07DA001,1,1979/09/17,930,E
+07DA001,1,1979/09/18,910,E
+07DA001,1,1979/09/19,890,E
+07DA001,1,1979/09/20,870,E
+07DA001,1,1979/09/21,850,E
+07DA001,1,1979/09/22,840,E
+07DA001,1,1979/09/23,820,E
+07DA001,1,1979/09/24,810,E
+07DA001,1,1979/09/25,790,E
+07DA001,1,1979/09/26,780,E
+07DA001,1,1979/09/27,755,A
+07DA001,1,1979/09/28,755,
+07DA001,1,1979/09/29,754,A
+07DA001,1,1979/09/30,750,E
+07DA001,1,1979/10/01,720,E
+07DA001,1,1979/10/02,700,E
+07DA001,1,1979/10/03,680,E
+07DA001,1,1979/10/04,660,E
+07DA001,1,1979/10/05,650,E
+07DA001,1,1979/10/06,630,E
+07DA001,1,1979/10/07,620,E
+07DA001,1,1979/10/08,600,E
+07DA001,1,1979/10/09,590,E
+07DA001,1,1979/10/10,580,E
+07DA001,1,1979/10/11,570,E
+07DA001,1,1979/10/12,560,E
+07DA001,1,1979/10/13,550,E
+07DA001,1,1979/10/14,540,E
+07DA001,1,1979/10/15,540,E
+07DA001,1,1979/10/16,540,E
+07DA001,1,1979/10/17,550,E
+07DA001,1,1979/10/18,560,E
+07DA001,1,1979/10/19,560,E
+07DA001,1,1979/10/20,570,E
+07DA001,1,1979/10/21,570,E
+07DA001,1,1979/10/22,570,A
+07DA001,1,1979/10/23,574,
+07DA001,1,1979/10/24,569,
+07DA001,1,1979/10/25,557,
+07DA001,1,1979/10/26,550,
+07DA001,1,1979/10/27,542,
+07DA001,1,1979/10/28,538,
+07DA001,1,1979/10/29,533,
+07DA001,1,1979/10/30,527,
+07DA001,1,1979/10/31,516,
+07DA001,1,1979/11/01,506,
+07DA001,1,1979/11/02,501,
+07DA001,1,1979/11/03,503,B
+07DA001,1,1979/11/04,491,B
+07DA001,1,1979/11/05,473,B
+07DA001,1,1979/11/06,457,B
+07DA001,1,1979/11/07,449,B
+07DA001,1,1979/11/08,433,B
+07DA001,1,1979/11/09,402,B
+07DA001,1,1979/11/10,383,B
+07DA001,1,1979/11/11,370,B
+07DA001,1,1979/11/12,360,B
+07DA001,1,1979/11/13,360,B
+07DA001,1,1979/11/14,350,B
+07DA001,1,1979/11/15,350,B
+07DA001,1,1979/11/16,350,B
+07DA001,1,1979/11/17,340,B
+07DA001,1,1979/11/18,340,B
+07DA001,1,1979/11/19,330,B
+07DA001,1,1979/11/20,330,B
+07DA001,1,1979/11/21,320,B
+07DA001,1,1979/11/22,310,B
+07DA001,1,1979/11/23,300,B
+07DA001,1,1979/11/24,298,B
+07DA001,1,1979/11/25,289,B
+07DA001,1,1979/11/26,278,B
+07DA001,1,1979/11/27,255,B
+07DA001,1,1979/11/28,244,B
+07DA001,1,1979/11/29,215,B
+07DA001,1,1979/11/30,220,B
+07DA001,1,1979/12/01,205,B
+07DA001,1,1979/12/02,183,B
+07DA001,1,1979/12/03,159,B
+07DA001,1,1979/12/04,147,B
+07DA001,1,1979/12/05,149,B
+07DA001,1,1979/12/06,183,B
+07DA001,1,1979/12/07,235,B
+07DA001,1,1979/12/08,206,B
+07DA001,1,1979/12/09,197,B
+07DA001,1,1979/12/10,214,B
+07DA001,1,1979/12/11,221,B
+07DA001,1,1979/12/12,222,B
+07DA001,1,1979/12/13,214,B
+07DA001,1,1979/12/14,221,B
+07DA001,1,1979/12/15,220,B
+07DA001,1,1979/12/16,215,B
+07DA001,1,1979/12/17,225,B
+07DA001,1,1979/12/18,254,B
+07DA001,1,1979/12/19,278,B
+07DA001,1,1979/12/20,275,B
+07DA001,1,1979/12/21,270,B
+07DA001,1,1979/12/22,262,B
+07DA001,1,1979/12/23,257,B
+07DA001,1,1979/12/24,251,B
+07DA001,1,1979/12/25,247,B
+07DA001,1,1979/12/26,240,B
+07DA001,1,1979/12/27,240,B
+07DA001,1,1979/12/28,240,B
+07DA001,1,1979/12/29,240,B
+07DA001,1,1979/12/30,243,B
+07DA001,1,1979/12/31,249,B
+07DA001,1,1980/01/01,263,B
+07DA001,1,1980/01/02,277,B
+07DA001,1,1980/01/03,282,B
+07DA001,1,1980/01/04,283,B
+07DA001,1,1980/01/05,278,B
+07DA001,1,1980/01/06,268,B
+07DA001,1,1980/01/07,262,B
+07DA001,1,1980/01/08,261,B
+07DA001,1,1980/01/09,261,B
+07DA001,1,1980/01/10,261,B
+07DA001,1,1980/01/11,261,B
+07DA001,1,1980/01/12,258,B
+07DA001,1,1980/01/13,251,B
+07DA001,1,1980/01/14,248,B
+07DA001,1,1980/01/15,244,B
+07DA001,1,1980/01/16,243,B
+07DA001,1,1980/01/17,242,B
+07DA001,1,1980/01/18,236,B
+07DA001,1,1980/01/19,227,B
+07DA001,1,1980/01/20,222,B
+07DA001,1,1980/01/21,219,B
+07DA001,1,1980/01/22,215,B
+07DA001,1,1980/01/23,214,B
+07DA001,1,1980/01/24,213,B
+07DA001,1,1980/01/25,213,B
+07DA001,1,1980/01/26,214,B
+07DA001,1,1980/01/27,215,B
+07DA001,1,1980/01/28,217,B
+07DA001,1,1980/01/29,218,B
+07DA001,1,1980/01/30,218,B
+07DA001,1,1980/01/31,218,B
+07DA001,1,1980/02/01,218,B
+07DA001,1,1980/02/02,216,B
+07DA001,1,1980/02/03,213,B
+07DA001,1,1980/02/04,212,B
+07DA001,1,1980/02/05,209,B
+07DA001,1,1980/02/06,205,B
+07DA001,1,1980/02/07,203,B
+07DA001,1,1980/02/08,201,B
+07DA001,1,1980/02/09,200,B
+07DA001,1,1980/02/10,199,B
+07DA001,1,1980/02/11,199,B
+07DA001,1,1980/02/12,199,B
+07DA001,1,1980/02/13,199,B
+07DA001,1,1980/02/14,200,B
+07DA001,1,1980/02/15,201,B
+07DA001,1,1980/02/16,202,B
+07DA001,1,1980/02/17,203,B
+07DA001,1,1980/02/18,204,B
+07DA001,1,1980/02/19,204,B
+07DA001,1,1980/02/20,204,B
+07DA001,1,1980/02/21,205,B
+07DA001,1,1980/02/22,206,B
+07DA001,1,1980/02/23,206,B
+07DA001,1,1980/02/24,206,B
+07DA001,1,1980/02/25,205,B
+07DA001,1,1980/02/26,203,B
+07DA001,1,1980/02/27,203,B
+07DA001,1,1980/02/28,203,B
+07DA001,1,1980/02/29,207,B
+07DA001,1,1980/03/01,209,B
+07DA001,1,1980/03/02,212,B
+07DA001,1,1980/03/03,213,B
+07DA001,1,1980/03/04,214,B
+07DA001,1,1980/03/05,215,B
+07DA001,1,1980/03/06,215,B
+07DA001,1,1980/03/07,214,B
+07DA001,1,1980/03/08,214,B
+07DA001,1,1980/03/09,212,B
+07DA001,1,1980/03/10,208,B
+07DA001,1,1980/03/11,205,B
+07DA001,1,1980/03/12,208,B
+07DA001,1,1980/03/13,208,B
+07DA001,1,1980/03/14,207,B
+07DA001,1,1980/03/15,203,B
+07DA001,1,1980/03/16,200,B
+07DA001,1,1980/03/17,198,B
+07DA001,1,1980/03/18,199,B
+07DA001,1,1980/03/19,201,B
+07DA001,1,1980/03/20,201,B
+07DA001,1,1980/03/21,202,B
+07DA001,1,1980/03/22,201,B
+07DA001,1,1980/03/23,202,B
+07DA001,1,1980/03/24,203,B
+07DA001,1,1980/03/25,204,B
+07DA001,1,1980/03/26,204,B
+07DA001,1,1980/03/27,203,B
+07DA001,1,1980/03/28,202,B
+07DA001,1,1980/03/29,202,B
+07DA001,1,1980/03/30,206,B
+07DA001,1,1980/03/31,207,B
+07DA001,1,1980/04/01,211,B
+07DA001,1,1980/04/02,215,B
+07DA001,1,1980/04/03,221,B
+07DA001,1,1980/04/04,229,B
+07DA001,1,1980/04/05,238,B
+07DA001,1,1980/04/06,242,B
+07DA001,1,1980/04/07,252,B
+07DA001,1,1980/04/08,270,B
+07DA001,1,1980/04/09,291,B
+07DA001,1,1980/04/10,308,B
+07DA001,1,1980/04/11,335,B
+07DA001,1,1980/04/12,376,B
+07DA001,1,1980/04/13,420,B
+07DA001,1,1980/04/14,453,B
+07DA001,1,1980/04/15,484,B
+07DA001,1,1980/04/16,597,B
+07DA001,1,1980/04/17,754,B
+07DA001,1,1980/04/18,749,B
+07DA001,1,1980/04/19,952,B
+07DA001,1,1980/04/20,1200,B
+07DA001,1,1980/04/21,1140,B
+07DA001,1,1980/04/22,1100,B
+07DA001,1,1980/04/23,1040,B
+07DA001,1,1980/04/24,999,
+07DA001,1,1980/04/25,982,
+07DA001,1,1980/04/26,941,
+07DA001,1,1980/04/27,901,
+07DA001,1,1980/04/28,861,
+07DA001,1,1980/04/29,840,
+07DA001,1,1980/04/30,810,E
+07DA001,1,1980/05/01,790,E
+07DA001,1,1980/05/02,770,E
+07DA001,1,1980/05/03,770,E
+07DA001,1,1980/05/04,775,E
+07DA001,1,1980/05/05,775,E
+07DA001,1,1980/05/06,755,E
+07DA001,1,1980/05/07,735,E
+07DA001,1,1980/05/08,735,E
+07DA001,1,1980/05/09,740,E
+07DA001,1,1980/05/10,735,E
+07DA001,1,1980/05/11,720,E
+07DA001,1,1980/05/12,695,E
+07DA001,1,1980/05/13,665,E
+07DA001,1,1980/05/14,645,E
+07DA001,1,1980/05/15,630,E
+07DA001,1,1980/05/16,610,E
+07DA001,1,1980/05/17,600,E
+07DA001,1,1980/05/18,595,E
+07DA001,1,1980/05/19,600,E
+07DA001,1,1980/05/20,605,E
+07DA001,1,1980/05/21,617,A
+07DA001,1,1980/05/22,624,
+07DA001,1,1980/05/23,647,
+07DA001,1,1980/05/24,682,
+07DA001,1,1980/05/25,703,
+07DA001,1,1980/05/26,684,
+07DA001,1,1980/05/27,645,
+07DA001,1,1980/05/28,629,
+07DA001,1,1980/05/29,639,
+07DA001,1,1980/05/30,702,
+07DA001,1,1980/05/31,797,
+07DA001,1,1980/06/01,1060,
+07DA001,1,1980/06/02,1300,
+07DA001,1,1980/06/03,1280,
+07DA001,1,1980/06/04,1180,
+07DA001,1,1980/06/05,1100,
+07DA001,1,1980/06/06,1060,
+07DA001,1,1980/06/07,1390,
+07DA001,1,1980/06/08,3010,
+07DA001,1,1980/06/09,3930,
+07DA001,1,1980/06/10,3820,
+07DA001,1,1980/06/11,2920,
+07DA001,1,1980/06/12,2400,
+07DA001,1,1980/06/13,2130,
+07DA001,1,1980/06/14,1970,
+07DA001,1,1980/06/15,1830,
+07DA001,1,1980/06/16,1690,
+07DA001,1,1980/06/17,1550,
+07DA001,1,1980/06/18,1450,
+07DA001,1,1980/06/19,1390,
+07DA001,1,1980/06/20,1390,
+07DA001,1,1980/06/21,1480,
+07DA001,1,1980/06/22,1740,
+07DA001,1,1980/06/23,1730,
+07DA001,1,1980/06/24,1580,
+07DA001,1,1980/06/25,1480,
+07DA001,1,1980/06/26,1390,
+07DA001,1,1980/06/27,1350,
+07DA001,1,1980/06/28,1610,
+07DA001,1,1980/06/29,2050,
+07DA001,1,1980/06/30,2120,
+07DA001,1,1980/07/01,2250,
+07DA001,1,1980/07/02,2190,
+07DA001,1,1980/07/03,2000,
+07DA001,1,1980/07/04,1970,
+07DA001,1,1980/07/05,1910,
+07DA001,1,1980/07/06,1730,
+07DA001,1,1980/07/07,1600,
+07DA001,1,1980/07/08,1480,
+07DA001,1,1980/07/09,1430,
+07DA001,1,1980/07/10,1420,
+07DA001,1,1980/07/11,1340,
+07DA001,1,1980/07/12,1220,
+07DA001,1,1980/07/13,1120,
+07DA001,1,1980/07/14,1060,
+07DA001,1,1980/07/15,1040,
+07DA001,1,1980/07/16,1020,
+07DA001,1,1980/07/17,1010,
+07DA001,1,1980/07/18,986,
+07DA001,1,1980/07/19,954,
+07DA001,1,1980/07/20,931,
+07DA001,1,1980/07/21,933,
+07DA001,1,1980/07/22,937,
+07DA001,1,1980/07/23,949,
+07DA001,1,1980/07/24,947,
+07DA001,1,1980/07/25,1000,
+07DA001,1,1980/07/26,955,
+07DA001,1,1980/07/27,934,
+07DA001,1,1980/07/28,948,
+07DA001,1,1980/07/29,983,
+07DA001,1,1980/07/30,962,
+07DA001,1,1980/07/31,899,
+07DA001,1,1980/08/01,846,
+07DA001,1,1980/08/02,820,
+07DA001,1,1980/08/03,839,
+07DA001,1,1980/08/04,949,
+07DA001,1,1980/08/05,1110,
+07DA001,1,1980/08/06,1240,
+07DA001,1,1980/08/07,1340,
+07DA001,1,1980/08/08,1410,
+07DA001,1,1980/08/09,1490,
+07DA001,1,1980/08/10,1500,
+07DA001,1,1980/08/11,1520,
+07DA001,1,1980/08/12,1570,
+07DA001,1,1980/08/13,1570,
+07DA001,1,1980/08/14,1520,
+07DA001,1,1980/08/15,1480,
+07DA001,1,1980/08/16,1440,
+07DA001,1,1980/08/17,1400,
+07DA001,1,1980/08/18,1350,
+07DA001,1,1980/08/19,1300,
+07DA001,1,1980/08/20,1240,
+07DA001,1,1980/08/21,1190,
+07DA001,1,1980/08/22,1150,
+07DA001,1,1980/08/23,1100,
+07DA001,1,1980/08/24,1110,
+07DA001,1,1980/08/25,1090,
+07DA001,1,1980/08/26,1030,
+07DA001,1,1980/08/27,963,
+07DA001,1,1980/08/28,947,
+07DA001,1,1980/08/29,948,
+07DA001,1,1980/08/30,991,
+07DA001,1,1980/08/31,1010,
+07DA001,1,1980/09/01,985,
+07DA001,1,1980/09/02,951,
+07DA001,1,1980/09/03,956,
+07DA001,1,1980/09/04,972,
+07DA001,1,1980/09/05,953,
+07DA001,1,1980/09/06,941,
+07DA001,1,1980/09/07,938,
+07DA001,1,1980/09/08,914,
+07DA001,1,1980/09/09,877,
+07DA001,1,1980/09/10,847,
+07DA001,1,1980/09/11,832,
+07DA001,1,1980/09/12,806,
+07DA001,1,1980/09/13,788,
+07DA001,1,1980/09/14,801,
+07DA001,1,1980/09/15,842,
+07DA001,1,1980/09/16,831,
+07DA001,1,1980/09/17,823,
+07DA001,1,1980/09/18,822,
+07DA001,1,1980/09/19,853,
+07DA001,1,1980/09/20,940,
+07DA001,1,1980/09/21,1030,
+07DA001,1,1980/09/22,1140,
+07DA001,1,1980/09/23,1270,
+07DA001,1,1980/09/24,1320,
+07DA001,1,1980/09/25,1280,
+07DA001,1,1980/09/26,1270,
+07DA001,1,1980/09/27,1260,
+07DA001,1,1980/09/28,1210,
+07DA001,1,1980/09/29,1150,
+07DA001,1,1980/09/30,1100,
+07DA001,1,1980/10/01,1040,
+07DA001,1,1980/10/02,982,
+07DA001,1,1980/10/03,937,
+07DA001,1,1980/10/04,904,
+07DA001,1,1980/10/05,872,
+07DA001,1,1980/10/06,869,
+07DA001,1,1980/10/07,900,
+07DA001,1,1980/10/08,867,
+07DA001,1,1980/10/09,821,
+07DA001,1,1980/10/10,784,
+07DA001,1,1980/10/11,763,
+07DA001,1,1980/10/12,745,
+07DA001,1,1980/10/13,726,
+07DA001,1,1980/10/14,722,
+07DA001,1,1980/10/15,719,
+07DA001,1,1980/10/16,712,
+07DA001,1,1980/10/17,695,
+07DA001,1,1980/10/18,675,
+07DA001,1,1980/10/19,659,
+07DA001,1,1980/10/20,647,
+07DA001,1,1980/10/21,635,
+07DA001,1,1980/10/22,626,
+07DA001,1,1980/10/23,616,
+07DA001,1,1980/10/24,608,
+07DA001,1,1980/10/25,599,
+07DA001,1,1980/10/26,590,
+07DA001,1,1980/10/27,577,
+07DA001,1,1980/10/28,567,
+07DA001,1,1980/10/29,564,
+07DA001,1,1980/10/30,558,
+07DA001,1,1980/10/31,548,
+07DA001,1,1980/11/01,539,
+07DA001,1,1980/11/02,537,
+07DA001,1,1980/11/03,536,
+07DA001,1,1980/11/04,535,
+07DA001,1,1980/11/05,528,
+07DA001,1,1980/11/06,527,
+07DA001,1,1980/11/07,527,
+07DA001,1,1980/11/08,527,
+07DA001,1,1980/11/09,514,
+07DA001,1,1980/11/10,513,
+07DA001,1,1980/11/11,508,
+07DA001,1,1980/11/12,498,B
+07DA001,1,1980/11/13,485,B
+07DA001,1,1980/11/14,482,B
+07DA001,1,1980/11/15,486,B
+07DA001,1,1980/11/16,486,B
+07DA001,1,1980/11/17,472,B
+07DA001,1,1980/11/18,457,B
+07DA001,1,1980/11/19,431,B
+07DA001,1,1980/11/20,431,B
+07DA001,1,1980/11/21,408,B
+07DA001,1,1980/11/22,375,B
+07DA001,1,1980/11/23,407,B
+07DA001,1,1980/11/24,399,B
+07DA001,1,1980/11/25,385,B
+07DA001,1,1980/11/26,411,B
+07DA001,1,1980/11/27,404,B
+07DA001,1,1980/11/28,404,B
+07DA001,1,1980/11/29,388,B
+07DA001,1,1980/11/30,289,B
+07DA001,1,1980/12/01,246,B
+07DA001,1,1980/12/02,243,B
+07DA001,1,1980/12/03,252,B
+07DA001,1,1980/12/04,256,B
+07DA001,1,1980/12/05,228,B
+07DA001,1,1980/12/06,196,B
+07DA001,1,1980/12/07,196,B
+07DA001,1,1980/12/08,193,B
+07DA001,1,1980/12/09,190,B
+07DA001,1,1980/12/10,174,B
+07DA001,1,1980/12/11,176,B
+07DA001,1,1980/12/12,180,B
+07DA001,1,1980/12/13,167,B
+07DA001,1,1980/12/14,158,B
+07DA001,1,1980/12/15,156,B
+07DA001,1,1980/12/16,156,B
+07DA001,1,1980/12/17,154,B
+07DA001,1,1980/12/18,152,B
+07DA001,1,1980/12/19,161,B
+07DA001,1,1980/12/20,172,B
+07DA001,1,1980/12/21,183,B
+07DA001,1,1980/12/22,193,B
+07DA001,1,1980/12/23,202,B
+07DA001,1,1980/12/24,213,B
+07DA001,1,1980/12/25,211,B
+07DA001,1,1980/12/26,211,B
+07DA001,1,1980/12/27,223,B
+07DA001,1,1980/12/28,223,B
+07DA001,1,1980/12/29,216,B
+07DA001,1,1980/12/30,204,B
+07DA001,1,1980/12/31,191,B
+07DA001,1,1981/01/01,183,B
+07DA001,1,1981/01/02,178,B
+07DA001,1,1981/01/03,178,B
+07DA001,1,1981/01/04,178,B
+07DA001,1,1981/01/05,181,B
+07DA001,1,1981/01/06,186,B
+07DA001,1,1981/01/07,199,B
+07DA001,1,1981/01/08,211,B
+07DA001,1,1981/01/09,215,B
+07DA001,1,1981/01/10,215,B
+07DA001,1,1981/01/11,206,B
+07DA001,1,1981/01/12,199,B
+07DA001,1,1981/01/13,196,B
+07DA001,1,1981/01/14,193,B
+07DA001,1,1981/01/15,193,B
+07DA001,1,1981/01/16,194,B
+07DA001,1,1981/01/17,194,B
+07DA001,1,1981/01/18,197,B
+07DA001,1,1981/01/19,199,B
+07DA001,1,1981/01/20,200,B
+07DA001,1,1981/01/21,200,B
+07DA001,1,1981/01/22,199,B
+07DA001,1,1981/01/23,198,B
+07DA001,1,1981/01/24,198,B
+07DA001,1,1981/01/25,199,B
+07DA001,1,1981/01/26,198,B
+07DA001,1,1981/01/27,198,B
+07DA001,1,1981/01/28,197,B
+07DA001,1,1981/01/29,197,B
+07DA001,1,1981/01/30,201,B
+07DA001,1,1981/01/31,206,B
+07DA001,1,1981/02/01,209,B
+07DA001,1,1981/02/02,211,B
+07DA001,1,1981/02/03,213,B
+07DA001,1,1981/02/04,214,B
+07DA001,1,1981/02/05,214,B
+07DA001,1,1981/02/06,210,B
+07DA001,1,1981/02/07,202,B
+07DA001,1,1981/02/08,198,B
+07DA001,1,1981/02/09,198,B
+07DA001,1,1981/02/10,198,B
+07DA001,1,1981/02/11,197,B
+07DA001,1,1981/02/12,194,B
+07DA001,1,1981/02/13,190,B
+07DA001,1,1981/02/14,184,B
+07DA001,1,1981/02/15,180,B
+07DA001,1,1981/02/16,178,B
+07DA001,1,1981/02/17,175,B
+07DA001,1,1981/02/18,173,B
+07DA001,1,1981/02/19,173,B
+07DA001,1,1981/02/20,173,B
+07DA001,1,1981/02/21,172,B
+07DA001,1,1981/02/22,173,B
+07DA001,1,1981/02/23,173,B
+07DA001,1,1981/02/24,176,B
+07DA001,1,1981/02/25,180,B
+07DA001,1,1981/02/26,184,B
+07DA001,1,1981/02/27,188,B
+07DA001,1,1981/02/28,191,B
+07DA001,1,1981/03/01,193,B
+07DA001,1,1981/03/02,194,B
+07DA001,1,1981/03/03,194,B
+07DA001,1,1981/03/04,195,B
+07DA001,1,1981/03/05,196,B
+07DA001,1,1981/03/06,196,B
+07DA001,1,1981/03/07,196,B
+07DA001,1,1981/03/08,194,B
+07DA001,1,1981/03/09,197,B
+07DA001,1,1981/03/10,200,B
+07DA001,1,1981/03/11,198,B
+07DA001,1,1981/03/12,197,B
+07DA001,1,1981/03/13,197,B
+07DA001,1,1981/03/14,201,B
+07DA001,1,1981/03/15,204,B
+07DA001,1,1981/03/16,203,B
+07DA001,1,1981/03/17,205,B
+07DA001,1,1981/03/18,203,B
+07DA001,1,1981/03/19,203,B
+07DA001,1,1981/03/20,208,B
+07DA001,1,1981/03/21,218,B
+07DA001,1,1981/03/22,226,B
+07DA001,1,1981/03/23,229,B
+07DA001,1,1981/03/24,229,B
+07DA001,1,1981/03/25,230,B
+07DA001,1,1981/03/26,242,B
+07DA001,1,1981/03/27,264,B
+07DA001,1,1981/03/28,287,B
+07DA001,1,1981/03/29,303,B
+07DA001,1,1981/03/30,308,B
+07DA001,1,1981/03/31,315,B
+07DA001,1,1981/04/01,323,B
+07DA001,1,1981/04/02,327,B
+07DA001,1,1981/04/03,343,B
+07DA001,1,1981/04/04,357,B
+07DA001,1,1981/04/05,397,B
+07DA001,1,1981/04/06,444,B
+07DA001,1,1981/04/07,489,B
+07DA001,1,1981/04/08,526,B
+07DA001,1,1981/04/09,590,B
+07DA001,1,1981/04/10,620,B
+07DA001,1,1981/04/11,630,B
+07DA001,1,1981/04/12,620,B
+07DA001,1,1981/04/13,625,B
+07DA001,1,1981/04/14,635,B
+07DA001,1,1981/04/15,600,B
+07DA001,1,1981/04/16,545,B
+07DA001,1,1981/04/17,420,B
+07DA001,1,1981/04/18,460,B
+07DA001,1,1981/04/19,470,B
+07DA001,1,1981/04/20,480,B
+07DA001,1,1981/04/21,485,B
+07DA001,1,1981/04/22,490,B
+07DA001,1,1981/04/23,490,B
+07DA001,1,1981/04/24,485,B
+07DA001,1,1981/04/25,490,E
+07DA001,1,1981/04/26,505,E
+07DA001,1,1981/04/27,530,E
+07DA001,1,1981/04/28,575,E
+07DA001,1,1981/04/29,590,E
+07DA001,1,1981/04/30,595,E
+07DA001,1,1981/05/01,595,E
+07DA001,1,1981/05/02,595,E
+07DA001,1,1981/05/03,590,E
+07DA001,1,1981/05/04,585,E
+07DA001,1,1981/05/05,580,E
+07DA001,1,1981/05/06,575,E
+07DA001,1,1981/05/07,570,E
+07DA001,1,1981/05/08,570,E
+07DA001,1,1981/05/09,565,E
+07DA001,1,1981/05/10,570,E
+07DA001,1,1981/05/11,580,E
+07DA001,1,1981/05/12,590,E
+07DA001,1,1981/05/13,600,E
+07DA001,1,1981/05/14,610,E
+07DA001,1,1981/05/15,630,E
+07DA001,1,1981/05/16,660,E
+07DA001,1,1981/05/17,685,E
+07DA001,1,1981/05/18,725,E
+07DA001,1,1981/05/19,740,E
+07DA001,1,1981/05/20,750,E
+07DA001,1,1981/05/21,760,E
+07DA001,1,1981/05/22,765,E
+07DA001,1,1981/05/23,765,E
+07DA001,1,1981/05/24,770,E
+07DA001,1,1981/05/25,780,E
+07DA001,1,1981/05/26,812,A
+07DA001,1,1981/05/27,994,
+07DA001,1,1981/05/28,1170,
+07DA001,1,1981/05/29,1170,A
+07DA001,1,1981/05/30,1160,
+07DA001,1,1981/05/31,1230,
+07DA001,1,1981/06/01,1330,
+07DA001,1,1981/06/02,1240,
+07DA001,1,1981/06/03,1120,
+07DA001,1,1981/06/04,1140,
+07DA001,1,1981/06/05,1410,
+07DA001,1,1981/06/06,1370,
+07DA001,1,1981/06/07,1380,
+07DA001,1,1981/06/08,1380,
+07DA001,1,1981/06/09,1290,
+07DA001,1,1981/06/10,1190,
+07DA001,1,1981/06/11,1090,
+07DA001,1,1981/06/12,1020,
+07DA001,1,1981/06/13,958,
+07DA001,1,1981/06/14,894,
+07DA001,1,1981/06/15,841,
+07DA001,1,1981/06/16,821,
+07DA001,1,1981/06/17,830,
+07DA001,1,1981/06/18,846,
+07DA001,1,1981/06/19,843,
+07DA001,1,1981/06/20,847,
+07DA001,1,1981/06/21,874,
+07DA001,1,1981/06/22,893,
+07DA001,1,1981/06/23,902,
+07DA001,1,1981/06/24,879,
+07DA001,1,1981/06/25,850,
+07DA001,1,1981/06/26,832,
+07DA001,1,1981/06/27,825,E
+07DA001,1,1981/06/28,810,E
+07DA001,1,1981/06/29,800,E
+07DA001,1,1981/06/30,785,E
+07DA001,1,1981/07/01,765,E
+07DA001,1,1981/07/02,750,E
+07DA001,1,1981/07/03,765,E
+07DA001,1,1981/07/04,780,E
+07DA001,1,1981/07/05,780,E
+07DA001,1,1981/07/06,775,E
+07DA001,1,1981/07/07,775,E
+07DA001,1,1981/07/08,785,E
+07DA001,1,1981/07/09,790,E
+07DA001,1,1981/07/10,800,E
+07DA001,1,1981/07/11,815,E
+07DA001,1,1981/07/12,825,E
+07DA001,1,1981/07/13,830,E
+07DA001,1,1981/07/14,820,E
+07DA001,1,1981/07/15,810,E
+07DA001,1,1981/07/16,795,E
+07DA001,1,1981/07/17,785,E
+07DA001,1,1981/07/18,770,E
+07DA001,1,1981/07/19,795,E
+07DA001,1,1981/07/20,820,E
+07DA001,1,1981/07/21,850,E
+07DA001,1,1981/07/22,870,E
+07DA001,1,1981/07/23,823,A
+07DA001,1,1981/07/24,876,
+07DA001,1,1981/07/25,946,
+07DA001,1,1981/07/26,1100,
+07DA001,1,1981/07/27,1230,
+07DA001,1,1981/07/28,1260,
+07DA001,1,1981/07/29,1240,
+07DA001,1,1981/07/30,1220,
+07DA001,1,1981/07/31,1140,
+07DA001,1,1981/08/01,1070,
+07DA001,1,1981/08/02,1070,
+07DA001,1,1981/08/03,1180,
+07DA001,1,1981/08/04,1240,
+07DA001,1,1981/08/05,1260,
+07DA001,1,1981/08/06,1180,
+07DA001,1,1981/08/07,1100,
+07DA001,1,1981/08/08,1020,
+07DA001,1,1981/08/09,941,
+07DA001,1,1981/08/10,884,
+07DA001,1,1981/08/11,840,
+07DA001,1,1981/08/12,798,
+07DA001,1,1981/08/13,767,
+07DA001,1,1981/08/14,753,
+07DA001,1,1981/08/15,741,
+07DA001,1,1981/08/16,725,
+07DA001,1,1981/08/17,710,
+07DA001,1,1981/08/18,709,
+07DA001,1,1981/08/19,715,
+07DA001,1,1981/08/20,703,
+07DA001,1,1981/08/21,685,
+07DA001,1,1981/08/22,667,
+07DA001,1,1981/08/23,661,
+07DA001,1,1981/08/24,649,
+07DA001,1,1981/08/25,632,
+07DA001,1,1981/08/26,626,
+07DA001,1,1981/08/27,628,
+07DA001,1,1981/08/28,613,
+07DA001,1,1981/08/29,584,
+07DA001,1,1981/08/30,566,
+07DA001,1,1981/08/31,563,
+07DA001,1,1981/09/01,574,
+07DA001,1,1981/09/02,587,
+07DA001,1,1981/09/03,586,
+07DA001,1,1981/09/04,567,
+07DA001,1,1981/09/05,554,
+07DA001,1,1981/09/06,550,
+07DA001,1,1981/09/07,521,
+07DA001,1,1981/09/08,511,
+07DA001,1,1981/09/09,515,
+07DA001,1,1981/09/10,507,
+07DA001,1,1981/09/11,494,
+07DA001,1,1981/09/12,492,
+07DA001,1,1981/09/13,486,
+07DA001,1,1981/09/14,473,
+07DA001,1,1981/09/15,464,
+07DA001,1,1981/09/16,473,
+07DA001,1,1981/09/17,484,
+07DA001,1,1981/09/18,466,
+07DA001,1,1981/09/19,448,
+07DA001,1,1981/09/20,437,
+07DA001,1,1981/09/21,427,
+07DA001,1,1981/09/22,410,
+07DA001,1,1981/09/23,398,
+07DA001,1,1981/09/24,416,
+07DA001,1,1981/09/25,436,
+07DA001,1,1981/09/26,448,
+07DA001,1,1981/09/27,471,
+07DA001,1,1981/09/28,446,
+07DA001,1,1981/09/29,419,
+07DA001,1,1981/09/30,404,
+07DA001,1,1981/10/01,393,
+07DA001,1,1981/10/02,379,
+07DA001,1,1981/10/03,369,
+07DA001,1,1981/10/04,365,
+07DA001,1,1981/10/05,359,
+07DA001,1,1981/10/06,353,
+07DA001,1,1981/10/07,349,
+07DA001,1,1981/10/08,349,
+07DA001,1,1981/10/09,355,
+07DA001,1,1981/10/10,361,
+07DA001,1,1981/10/11,363,
+07DA001,1,1981/10/12,355,
+07DA001,1,1981/10/13,353,
+07DA001,1,1981/10/14,350,
+07DA001,1,1981/10/15,344,
+07DA001,1,1981/10/16,346,
+07DA001,1,1981/10/17,343,
+07DA001,1,1981/10/18,341,
+07DA001,1,1981/10/19,345,
+07DA001,1,1981/10/20,339,
+07DA001,1,1981/10/21,336,
+07DA001,1,1981/10/22,330,
+07DA001,1,1981/10/23,331,
+07DA001,1,1981/10/24,325,
+07DA001,1,1981/10/25,320,B
+07DA001,1,1981/10/26,315,B
+07DA001,1,1981/10/27,310,B
+07DA001,1,1981/10/28,305,B
+07DA001,1,1981/10/29,300,B
+07DA001,1,1981/10/30,300,B
+07DA001,1,1981/10/31,305,B
+07DA001,1,1981/11/01,310,B
+07DA001,1,1981/11/02,315,B
+07DA001,1,1981/11/03,320,B
+07DA001,1,1981/11/04,320,B
+07DA001,1,1981/11/05,315,B
+07DA001,1,1981/11/06,315,B
+07DA001,1,1981/11/07,310,B
+07DA001,1,1981/11/08,310,B
+07DA001,1,1981/11/09,335,B
+07DA001,1,1981/11/10,350,B
+07DA001,1,1981/11/11,360,B
+07DA001,1,1981/11/12,360,B
+07DA001,1,1981/11/13,350,B
+07DA001,1,1981/11/14,337,B
+07DA001,1,1981/11/15,293,B
+07DA001,1,1981/11/16,283,B
+07DA001,1,1981/11/17,280,B
+07DA001,1,1981/11/18,296,B
+07DA001,1,1981/11/19,285,B
+07DA001,1,1981/11/20,288,B
+07DA001,1,1981/11/21,259,B
+07DA001,1,1981/11/22,235,B
+07DA001,1,1981/11/23,231,B
+07DA001,1,1981/11/24,217,B
+07DA001,1,1981/11/25,209,B
+07DA001,1,1981/11/26,190,B
+07DA001,1,1981/11/27,175,B
+07DA001,1,1981/11/28,165,B
+07DA001,1,1981/11/29,150,B
+07DA001,1,1981/11/30,140,B
+07DA001,1,1981/12/01,130,B
+07DA001,1,1981/12/02,120,B
+07DA001,1,1981/12/03,120,B
+07DA001,1,1981/12/04,125,B
+07DA001,1,1981/12/05,125,B
+07DA001,1,1981/12/06,130,B
+07DA001,1,1981/12/07,120,B
+07DA001,1,1981/12/08,115,B
+07DA001,1,1981/12/09,110,B
+07DA001,1,1981/12/10,108,B
+07DA001,1,1981/12/11,105,B
+07DA001,1,1981/12/12,105,B
+07DA001,1,1981/12/13,105,B
+07DA001,1,1981/12/14,100,B
+07DA001,1,1981/12/15,100,B
+07DA001,1,1981/12/16,96.0,B
+07DA001,1,1981/12/17,94.0,B
+07DA001,1,1981/12/18,92.0,B
+07DA001,1,1981/12/19,94.0,B
+07DA001,1,1981/12/20,95.0,B
+07DA001,1,1981/12/21,97.0,B
+07DA001,1,1981/12/22,98.0,B
+07DA001,1,1981/12/23,100,B
+07DA001,1,1981/12/24,100,B
+07DA001,1,1981/12/25,104,B
+07DA001,1,1981/12/26,105,B
+07DA001,1,1981/12/27,106,B
+07DA001,1,1981/12/28,108,B
+07DA001,1,1981/12/29,108,B
+07DA001,1,1981/12/30,106,B
+07DA001,1,1981/12/31,105,B
+07DA001,1,1982/01/01,105,B
+07DA001,1,1982/01/02,104,B
+07DA001,1,1982/01/03,103,B
+07DA001,1,1982/01/04,102,B
+07DA001,1,1982/01/05,101,B
+07DA001,1,1982/01/06,100,B
+07DA001,1,1982/01/07,99.0,B
+07DA001,1,1982/01/08,98.0,B
+07DA001,1,1982/01/09,97.0,B
+07DA001,1,1982/01/10,96.0,B
+07DA001,1,1982/01/11,95.0,B
+07DA001,1,1982/01/12,96.0,B
+07DA001,1,1982/01/13,98.0,B
+07DA001,1,1982/01/14,102,B
+07DA001,1,1982/01/15,107,B
+07DA001,1,1982/01/16,110,B
+07DA001,1,1982/01/17,113,B
+07DA001,1,1982/01/18,115,B
+07DA001,1,1982/01/19,115,B
+07DA001,1,1982/01/20,115,B
+07DA001,1,1982/01/21,115,B
+07DA001,1,1982/01/22,115,B
+07DA001,1,1982/01/23,115,B
+07DA001,1,1982/01/24,119,B
+07DA001,1,1982/01/25,120,B
+07DA001,1,1982/01/26,123,B
+07DA001,1,1982/01/27,122,B
+07DA001,1,1982/01/28,120,B
+07DA001,1,1982/01/29,118,B
+07DA001,1,1982/01/30,116,B
+07DA001,1,1982/01/31,116,B
+07DA001,1,1982/02/01,116,B
+07DA001,1,1982/02/02,115,B
+07DA001,1,1982/02/03,115,B
+07DA001,1,1982/02/04,115,B
+07DA001,1,1982/02/05,115,B
+07DA001,1,1982/02/06,114,B
+07DA001,1,1982/02/07,114,B
+07DA001,1,1982/02/08,114,B
+07DA001,1,1982/02/09,114,B
+07DA001,1,1982/02/10,114,B
+07DA001,1,1982/02/11,114,B
+07DA001,1,1982/02/12,115,B
+07DA001,1,1982/02/13,114,B
+07DA001,1,1982/02/14,112,B
+07DA001,1,1982/02/15,111,B
+07DA001,1,1982/02/16,110,B
+07DA001,1,1982/02/17,109,B
+07DA001,1,1982/02/18,107,B
+07DA001,1,1982/02/19,104,B
+07DA001,1,1982/02/20,103,B
+07DA001,1,1982/02/21,102,B
+07DA001,1,1982/02/22,101,B
+07DA001,1,1982/02/23,100,B
+07DA001,1,1982/02/24,100,B
+07DA001,1,1982/02/25,99.0,B
+07DA001,1,1982/02/26,99.0,B
+07DA001,1,1982/02/27,98.0,B
+07DA001,1,1982/02/28,98.0,B
+07DA001,1,1982/03/01,98.0,B
+07DA001,1,1982/03/02,98.0,B
+07DA001,1,1982/03/03,98.0,B
+07DA001,1,1982/03/04,98.0,B
+07DA001,1,1982/03/05,97.0,B
+07DA001,1,1982/03/06,97.0,B
+07DA001,1,1982/03/07,96.0,B
+07DA001,1,1982/03/08,96.0,B
+07DA001,1,1982/03/09,96.0,B
+07DA001,1,1982/03/10,96.0,B
+07DA001,1,1982/03/11,96.0,B
+07DA001,1,1982/03/12,96.0,B
+07DA001,1,1982/03/13,97.0,B
+07DA001,1,1982/03/14,97.0,B
+07DA001,1,1982/03/15,97.0,B
+07DA001,1,1982/03/16,99.0,B
+07DA001,1,1982/03/17,100,B
+07DA001,1,1982/03/18,102,B
+07DA001,1,1982/03/19,104,B
+07DA001,1,1982/03/20,105,B
+07DA001,1,1982/03/21,108,B
+07DA001,1,1982/03/22,111,B
+07DA001,1,1982/03/23,113,B
+07DA001,1,1982/03/24,116,B
+07DA001,1,1982/03/25,119,B
+07DA001,1,1982/03/26,123,B
+07DA001,1,1982/03/27,126,B
+07DA001,1,1982/03/28,128,B
+07DA001,1,1982/03/29,130,B
+07DA001,1,1982/03/30,132,B
+07DA001,1,1982/03/31,133,B
+07DA001,1,1982/04/01,134,B
+07DA001,1,1982/04/02,134,B
+07DA001,1,1982/04/03,134,B
+07DA001,1,1982/04/04,134,B
+07DA001,1,1982/04/05,134,B
+07DA001,1,1982/04/06,134,B
+07DA001,1,1982/04/07,134,B
+07DA001,1,1982/04/08,134,B
+07DA001,1,1982/04/09,134,B
+07DA001,1,1982/04/10,134,B
+07DA001,1,1982/04/11,135,B
+07DA001,1,1982/04/12,138,B
+07DA001,1,1982/04/13,139,B
+07DA001,1,1982/04/14,141,B
+07DA001,1,1982/04/15,144,B
+07DA001,1,1982/04/16,146,B
+07DA001,1,1982/04/17,150,B
+07DA001,1,1982/04/18,158,B
+07DA001,1,1982/04/19,165,B
+07DA001,1,1982/04/20,175,B
+07DA001,1,1982/04/21,200,B
+07DA001,1,1982/04/22,250,B
+07DA001,1,1982/04/23,310,B
+07DA001,1,1982/04/24,350,B
+07DA001,1,1982/04/25,460,B
+07DA001,1,1982/04/26,560,B
+07DA001,1,1982/04/27,700,B
+07DA001,1,1982/04/28,900,B
+07DA001,1,1982/04/29,1050,B
+07DA001,1,1982/04/30,1150,B
+07DA001,1,1982/05/01,1260,B
+07DA001,1,1982/05/02,1240,
+07DA001,1,1982/05/03,1280,
+07DA001,1,1982/05/04,1340,
+07DA001,1,1982/05/05,1360,
+07DA001,1,1982/05/06,1340,
+07DA001,1,1982/05/07,1340,
+07DA001,1,1982/05/08,1310,
+07DA001,1,1982/05/09,1270,
+07DA001,1,1982/05/10,1170,
+07DA001,1,1982/05/11,1090,
+07DA001,1,1982/05/12,1060,
+07DA001,1,1982/05/13,1050,
+07DA001,1,1982/05/14,1030,
+07DA001,1,1982/05/15,1020,
+07DA001,1,1982/05/16,1050,
+07DA001,1,1982/05/17,1090,
+07DA001,1,1982/05/18,1080,
+07DA001,1,1982/05/19,1080,
+07DA001,1,1982/05/20,1110,
+07DA001,1,1982/05/21,1150,
+07DA001,1,1982/05/22,1170,
+07DA001,1,1982/05/23,1250,
+07DA001,1,1982/05/24,1220,
+07DA001,1,1982/05/25,1140,
+07DA001,1,1982/05/26,1070,
+07DA001,1,1982/05/27,1020,
+07DA001,1,1982/05/28,1010,
+07DA001,1,1982/05/29,985,
+07DA001,1,1982/05/30,944,
+07DA001,1,1982/05/31,995,
+07DA001,1,1982/06/01,1020,
+07DA001,1,1982/06/02,953,
+07DA001,1,1982/06/03,895,
+07DA001,1,1982/06/04,844,
+07DA001,1,1982/06/05,815,
+07DA001,1,1982/06/06,819,
+07DA001,1,1982/06/07,845,E
+07DA001,1,1982/06/08,890,E
+07DA001,1,1982/06/09,940,E
+07DA001,1,1982/06/10,1000,E
+07DA001,1,1982/06/11,1110,E
+07DA001,1,1982/06/12,1000,E
+07DA001,1,1982/06/13,930,E
+07DA001,1,1982/06/14,850,E
+07DA001,1,1982/06/15,820,E
+07DA001,1,1982/06/16,830,E
+07DA001,1,1982/06/17,850,E
+07DA001,1,1982/06/18,910,E
+07DA001,1,1982/06/19,970,E
+07DA001,1,1982/06/20,1040,E
+07DA001,1,1982/06/21,1060,E
+07DA001,1,1982/06/22,1000,E
+07DA001,1,1982/06/23,960,E
+07DA001,1,1982/06/24,1020,E
+07DA001,1,1982/06/25,1140,A
+07DA001,1,1982/06/26,1180,
+07DA001,1,1982/06/27,1230,
+07DA001,1,1982/06/28,1250,
+07DA001,1,1982/06/29,1180,
+07DA001,1,1982/06/30,1080,
+07DA001,1,1982/07/01,1040,
+07DA001,1,1982/07/02,1040,
+07DA001,1,1982/07/03,1250,
+07DA001,1,1982/07/04,1330,
+07DA001,1,1982/07/05,1270,
+07DA001,1,1982/07/06,1310,
+07DA001,1,1982/07/07,1790,
+07DA001,1,1982/07/08,2860,
+07DA001,1,1982/07/09,3490,
+07DA001,1,1982/07/10,3430,
+07DA001,1,1982/07/11,2980,
+07DA001,1,1982/07/12,2670,
+07DA001,1,1982/07/13,2390,
+07DA001,1,1982/07/14,2100,
+07DA001,1,1982/07/15,1860,
+07DA001,1,1982/07/16,1700,
+07DA001,1,1982/07/17,1570,
+07DA001,1,1982/07/18,2080,
+07DA001,1,1982/07/19,2710,
+07DA001,1,1982/07/20,2630,
+07DA001,1,1982/07/21,2420,
+07DA001,1,1982/07/22,2230,
+07DA001,1,1982/07/23,2080,
+07DA001,1,1982/07/24,2080,
+07DA001,1,1982/07/25,1980,A
+07DA001,1,1982/07/26,1840,E
+07DA001,1,1982/07/27,1700,E
+07DA001,1,1982/07/28,1600,E
+07DA001,1,1982/07/29,1500,E
+07DA001,1,1982/07/30,1410,E
+07DA001,1,1982/07/31,1330,E
+07DA001,1,1982/08/01,1230,E
+07DA001,1,1982/08/02,1160,E
+07DA001,1,1982/08/03,1070,E
+07DA001,1,1982/08/04,1060,E
+07DA001,1,1982/08/05,1120,E
+07DA001,1,1982/08/06,1350,E
+07DA001,1,1982/08/07,1540,E
+07DA001,1,1982/08/08,1650,A
+07DA001,1,1982/08/09,1590,
+07DA001,1,1982/08/10,1400,
+07DA001,1,1982/08/11,1250,
+07DA001,1,1982/08/12,1140,
+07DA001,1,1982/08/13,1070,
+07DA001,1,1982/08/14,1030,
+07DA001,1,1982/08/15,1020,
+07DA001,1,1982/08/16,1020,
+07DA001,1,1982/08/17,1010,
+07DA001,1,1982/08/18,961,
+07DA001,1,1982/08/19,910,
+07DA001,1,1982/08/20,880,
+07DA001,1,1982/08/21,896,
+07DA001,1,1982/08/22,906,
+07DA001,1,1982/08/23,880,
+07DA001,1,1982/08/24,842,
+07DA001,1,1982/08/25,809,
+07DA001,1,1982/08/26,781,
+07DA001,1,1982/08/27,781,
+07DA001,1,1982/08/28,779,
+07DA001,1,1982/08/29,786,
+07DA001,1,1982/08/30,786,
+07DA001,1,1982/08/31,786,
+07DA001,1,1982/09/01,821,
+07DA001,1,1982/09/02,846,
+07DA001,1,1982/09/03,865,
+07DA001,1,1982/09/04,875,
+07DA001,1,1982/09/05,851,
+07DA001,1,1982/09/06,832,
+07DA001,1,1982/09/07,800,
+07DA001,1,1982/09/08,767,
+07DA001,1,1982/09/09,781,
+07DA001,1,1982/09/10,901,
+07DA001,1,1982/09/11,986,
+07DA001,1,1982/09/12,946,
+07DA001,1,1982/09/13,900,
+07DA001,1,1982/09/14,902,
+07DA001,1,1982/09/15,974,
+07DA001,1,1982/09/16,991,
+07DA001,1,1982/09/17,916,
+07DA001,1,1982/09/18,853,
+07DA001,1,1982/09/19,803,
+07DA001,1,1982/09/20,754,
+07DA001,1,1982/09/21,716,
+07DA001,1,1982/09/22,685,
+07DA001,1,1982/09/23,662,
+07DA001,1,1982/09/24,644,
+07DA001,1,1982/09/25,635,
+07DA001,1,1982/09/26,622,
+07DA001,1,1982/09/27,612,
+07DA001,1,1982/09/28,596,
+07DA001,1,1982/09/29,589,
+07DA001,1,1982/09/30,587,
+07DA001,1,1982/10/01,582,
+07DA001,1,1982/10/02,582,
+07DA001,1,1982/10/03,632,
+07DA001,1,1982/10/04,674,
+07DA001,1,1982/10/05,715,
+07DA001,1,1982/10/06,700,
+07DA001,1,1982/10/07,674,
+07DA001,1,1982/10/08,669,
+07DA001,1,1982/10/09,712,
+07DA001,1,1982/10/10,735,
+07DA001,1,1982/10/11,708,
+07DA001,1,1982/10/12,674,
+07DA001,1,1982/10/13,652,
+07DA001,1,1982/10/14,635,
+07DA001,1,1982/10/15,611,
+07DA001,1,1982/10/16,596,
+07DA001,1,1982/10/17,583,
+07DA001,1,1982/10/18,577,
+07DA001,1,1982/10/19,572,
+07DA001,1,1982/10/20,563,
+07DA001,1,1982/10/21,562,
+07DA001,1,1982/10/22,574,
+07DA001,1,1982/10/23,580,
+07DA001,1,1982/10/24,581,
+07DA001,1,1982/10/25,568,
+07DA001,1,1982/10/26,549,
+07DA001,1,1982/10/27,537,
+07DA001,1,1982/10/28,533,
+07DA001,1,1982/10/29,527,
+07DA001,1,1982/10/30,516,
+07DA001,1,1982/10/31,511,
+07DA001,1,1982/11/01,504,
+07DA001,1,1982/11/02,479,
+07DA001,1,1982/11/03,466,B
+07DA001,1,1982/11/04,425,B
+07DA001,1,1982/11/05,411,B
+07DA001,1,1982/11/06,394,B
+07DA001,1,1982/11/07,439,B
+07DA001,1,1982/11/08,440,B
+07DA001,1,1982/11/09,429,B
+07DA001,1,1982/11/10,448,B
+07DA001,1,1982/11/11,408,B
+07DA001,1,1982/11/12,348,B
+07DA001,1,1982/11/13,312,B
+07DA001,1,1982/11/14,330,B
+07DA001,1,1982/11/15,314,B
+07DA001,1,1982/11/16,313,B
+07DA001,1,1982/11/17,325,B
+07DA001,1,1982/11/18,263,B
+07DA001,1,1982/11/19,226,B
+07DA001,1,1982/11/20,208,B
+07DA001,1,1982/11/21,218,B
+07DA001,1,1982/11/22,200,B
+07DA001,1,1982/11/23,203,B
+07DA001,1,1982/11/24,223,B
+07DA001,1,1982/11/25,296,B
+07DA001,1,1982/11/26,289,B
+07DA001,1,1982/11/27,279,B
+07DA001,1,1982/11/28,291,B
+07DA001,1,1982/11/29,347,B
+07DA001,1,1982/11/30,357,B
+07DA001,1,1982/12/01,341,B
+07DA001,1,1982/12/02,319,B
+07DA001,1,1982/12/03,289,B
+07DA001,1,1982/12/04,264,B
+07DA001,1,1982/12/05,251,B
+07DA001,1,1982/12/06,256,B
+07DA001,1,1982/12/07,268,B
+07DA001,1,1982/12/08,271,B
+07DA001,1,1982/12/09,299,B
+07DA001,1,1982/12/10,307,B
+07DA001,1,1982/12/11,304,B
+07DA001,1,1982/12/12,296,B
+07DA001,1,1982/12/13,273,B
+07DA001,1,1982/12/14,242,B
+07DA001,1,1982/12/15,224,B
+07DA001,1,1982/12/16,207,B
+07DA001,1,1982/12/17,203,B
+07DA001,1,1982/12/18,201,B
+07DA001,1,1982/12/19,193,B
+07DA001,1,1982/12/20,188,B
+07DA001,1,1982/12/21,182,B
+07DA001,1,1982/12/22,177,B
+07DA001,1,1982/12/23,178,B
+07DA001,1,1982/12/24,184,B
+07DA001,1,1982/12/25,184,B
+07DA001,1,1982/12/26,187,B
+07DA001,1,1982/12/27,186,B
+07DA001,1,1982/12/28,187,B
+07DA001,1,1982/12/29,188,B
+07DA001,1,1982/12/30,187,B
+07DA001,1,1982/12/31,186,B
+07DA001,1,1983/01/01,188,B
+07DA001,1,1983/01/02,184,B
+07DA001,1,1983/01/03,178,B
+07DA001,1,1983/01/04,173,B
+07DA001,1,1983/01/05,168,B
+07DA001,1,1983/01/06,167,B
+07DA001,1,1983/01/07,169,B
+07DA001,1,1983/01/08,170,B
+07DA001,1,1983/01/09,172,B
+07DA001,1,1983/01/10,171,B
+07DA001,1,1983/01/11,167,B
+07DA001,1,1983/01/12,166,B
+07DA001,1,1983/01/13,163,B
+07DA001,1,1983/01/14,163,B
+07DA001,1,1983/01/15,165,B
+07DA001,1,1983/01/16,167,B
+07DA001,1,1983/01/17,168,B
+07DA001,1,1983/01/18,164,B
+07DA001,1,1983/01/19,165,B
+07DA001,1,1983/01/20,167,B
+07DA001,1,1983/01/21,169,B
+07DA001,1,1983/01/22,171,B
+07DA001,1,1983/01/23,170,B
+07DA001,1,1983/01/24,171,B
+07DA001,1,1983/01/25,172,B
+07DA001,1,1983/01/26,172,B
+07DA001,1,1983/01/27,171,B
+07DA001,1,1983/01/28,170,B
+07DA001,1,1983/01/29,169,B
+07DA001,1,1983/01/30,169,B
+07DA001,1,1983/01/31,169,B
+07DA001,1,1983/02/01,169,B
+07DA001,1,1983/02/02,165,B
+07DA001,1,1983/02/03,163,B
+07DA001,1,1983/02/04,161,B
+07DA001,1,1983/02/05,157,B
+07DA001,1,1983/02/06,154,B
+07DA001,1,1983/02/07,153,B
+07DA001,1,1983/02/08,152,B
+07DA001,1,1983/02/09,156,B
+07DA001,1,1983/02/10,159,B
+07DA001,1,1983/02/11,159,B
+07DA001,1,1983/02/12,159,B
+07DA001,1,1983/02/13,160,B
+07DA001,1,1983/02/14,160,B
+07DA001,1,1983/02/15,159,B
+07DA001,1,1983/02/16,157,B
+07DA001,1,1983/02/17,156,B
+07DA001,1,1983/02/18,155,B
+07DA001,1,1983/02/19,150,B
+07DA001,1,1983/02/20,146,B
+07DA001,1,1983/02/21,150,B
+07DA001,1,1983/02/22,155,B
+07DA001,1,1983/02/23,156,B
+07DA001,1,1983/02/24,159,B
+07DA001,1,1983/02/25,160,B
+07DA001,1,1983/02/26,159,B
+07DA001,1,1983/02/27,158,B
+07DA001,1,1983/02/28,158,B
+07DA001,1,1983/03/01,157,B
+07DA001,1,1983/03/02,156,B
+07DA001,1,1983/03/03,157,B
+07DA001,1,1983/03/04,157,B
+07DA001,1,1983/03/05,157,B
+07DA001,1,1983/03/06,157,B
+07DA001,1,1983/03/07,158,B
+07DA001,1,1983/03/08,158,B
+07DA001,1,1983/03/09,161,B
+07DA001,1,1983/03/10,163,B
+07DA001,1,1983/03/11,161,B
+07DA001,1,1983/03/12,160,B
+07DA001,1,1983/03/13,160,B
+07DA001,1,1983/03/14,161,B
+07DA001,1,1983/03/15,160,B
+07DA001,1,1983/03/16,159,B
+07DA001,1,1983/03/17,159,B
+07DA001,1,1983/03/18,159,B
+07DA001,1,1983/03/19,160,B
+07DA001,1,1983/03/20,159,B
+07DA001,1,1983/03/21,161,B
+07DA001,1,1983/03/22,165,B
+07DA001,1,1983/03/23,167,B
+07DA001,1,1983/03/24,167,B
+07DA001,1,1983/03/25,167,B
+07DA001,1,1983/03/26,168,B
+07DA001,1,1983/03/27,168,B
+07DA001,1,1983/03/28,169,B
+07DA001,1,1983/03/29,168,B
+07DA001,1,1983/03/30,168,B
+07DA001,1,1983/03/31,167,B
+07DA001,1,1983/04/01,165,B
+07DA001,1,1983/04/02,166,B
+07DA001,1,1983/04/03,169,B
+07DA001,1,1983/04/04,175,B
+07DA001,1,1983/04/05,180,B
+07DA001,1,1983/04/06,187,B
+07DA001,1,1983/04/07,200,B
+07DA001,1,1983/04/08,207,B
+07DA001,1,1983/04/09,211,B
+07DA001,1,1983/04/10,226,B
+07DA001,1,1983/04/11,247,B
+07DA001,1,1983/04/12,263,B
+07DA001,1,1983/04/13,272,B
+07DA001,1,1983/04/14,289,B
+07DA001,1,1983/04/15,306,B
+07DA001,1,1983/04/16,348,B
+07DA001,1,1983/04/17,374,B
+07DA001,1,1983/04/18,469,B
+07DA001,1,1983/04/19,434,B
+07DA001,1,1983/04/20,455,B
+07DA001,1,1983/04/21,596,B
+07DA001,1,1983/04/22,639,B
+07DA001,1,1983/04/23,729,B
+07DA001,1,1983/04/24,712,B
+07DA001,1,1983/04/25,735,B
+07DA001,1,1983/04/26,859,
+07DA001,1,1983/04/27,834,
+07DA001,1,1983/04/28,758,
+07DA001,1,1983/04/29,696,
+07DA001,1,1983/04/30,652,
+07DA001,1,1983/05/01,607,
+07DA001,1,1983/05/02,599,
+07DA001,1,1983/05/03,588,
+07DA001,1,1983/05/04,559,
+07DA001,1,1983/05/05,540,
+07DA001,1,1983/05/06,522,
+07DA001,1,1983/05/07,516,
+07DA001,1,1983/05/08,515,
+07DA001,1,1983/05/09,507,
+07DA001,1,1983/05/10,499,
+07DA001,1,1983/05/11,497,
+07DA001,1,1983/05/12,501,
+07DA001,1,1983/05/13,511,
+07DA001,1,1983/05/14,544,
+07DA001,1,1983/05/15,554,
+07DA001,1,1983/05/16,547,
+07DA001,1,1983/05/17,540,
+07DA001,1,1983/05/18,535,
+07DA001,1,1983/05/19,523,
+07DA001,1,1983/05/20,517,
+07DA001,1,1983/05/21,524,
+07DA001,1,1983/05/22,544,
+07DA001,1,1983/05/23,559,
+07DA001,1,1983/05/24,563,
+07DA001,1,1983/05/25,566,
+07DA001,1,1983/05/26,571,
+07DA001,1,1983/05/27,562,
+07DA001,1,1983/05/28,557,
+07DA001,1,1983/05/29,565,
+07DA001,1,1983/05/30,574,
+07DA001,1,1983/05/31,600,
+07DA001,1,1983/06/01,642,
+07DA001,1,1983/06/02,664,
+07DA001,1,1983/06/03,656,
+07DA001,1,1983/06/04,711,
+07DA001,1,1983/06/05,882,
+07DA001,1,1983/06/06,948,
+07DA001,1,1983/06/07,928,
+07DA001,1,1983/06/08,876,
+07DA001,1,1983/06/09,816,
+07DA001,1,1983/06/10,763,
+07DA001,1,1983/06/11,735,
+07DA001,1,1983/06/12,716,
+07DA001,1,1983/06/13,717,
+07DA001,1,1983/06/14,752,
+07DA001,1,1983/06/15,773,
+07DA001,1,1983/06/16,785,
+07DA001,1,1983/06/17,758,
+07DA001,1,1983/06/18,721,
+07DA001,1,1983/06/19,674,
+07DA001,1,1983/06/20,650,
+07DA001,1,1983/06/21,663,
+07DA001,1,1983/06/22,691,
+07DA001,1,1983/06/23,756,
+07DA001,1,1983/06/24,1040,
+07DA001,1,1983/06/25,1220,
+07DA001,1,1983/06/26,1170,
+07DA001,1,1983/06/27,1120,
+07DA001,1,1983/06/28,1210,
+07DA001,1,1983/06/29,1660,
+07DA001,1,1983/06/30,1790,
+07DA001,1,1983/07/01,1600,
+07DA001,1,1983/07/02,1450,
+07DA001,1,1983/07/03,1350,
+07DA001,1,1983/07/04,1280,
+07DA001,1,1983/07/05,1340,
+07DA001,1,1983/07/06,1550,
+07DA001,1,1983/07/07,1590,
+07DA001,1,1983/07/08,1590,
+07DA001,1,1983/07/09,1550,
+07DA001,1,1983/07/10,1460,
+07DA001,1,1983/07/11,1430,
+07DA001,1,1983/07/12,1530,
+07DA001,1,1983/07/13,1560,
+07DA001,1,1983/07/14,1510,
+07DA001,1,1983/07/15,1510,
+07DA001,1,1983/07/16,1470,
+07DA001,1,1983/07/17,1420,
+07DA001,1,1983/07/18,1490,
+07DA001,1,1983/07/19,1570,
+07DA001,1,1983/07/20,1660,
+07DA001,1,1983/07/21,1710,
+07DA001,1,1983/07/22,1870,
+07DA001,1,1983/07/23,2070,
+07DA001,1,1983/07/24,2060,
+07DA001,1,1983/07/25,1950,
+07DA001,1,1983/07/26,1790,
+07DA001,1,1983/07/27,1760,
+07DA001,1,1983/07/28,1840,
+07DA001,1,1983/07/29,1920,
+07DA001,1,1983/07/30,2160,
+07DA001,1,1983/07/31,2290,
+07DA001,1,1983/08/01,2120,
+07DA001,1,1983/08/02,1920,
+07DA001,1,1983/08/03,1770,
+07DA001,1,1983/08/04,1640,
+07DA001,1,1983/08/05,1500,
+07DA001,1,1983/08/06,1420,
+07DA001,1,1983/08/07,1390,
+07DA001,1,1983/08/08,1340,
+07DA001,1,1983/08/09,1280,
+07DA001,1,1983/08/10,1200,
+07DA001,1,1983/08/11,1120,
+07DA001,1,1983/08/12,1060,
+07DA001,1,1983/08/13,1010,
+07DA001,1,1983/08/14,968,
+07DA001,1,1983/08/15,950,
+07DA001,1,1983/08/16,943,
+07DA001,1,1983/08/17,945,
+07DA001,1,1983/08/18,938,
+07DA001,1,1983/08/19,908,
+07DA001,1,1983/08/20,892,
+07DA001,1,1983/08/21,896,
+07DA001,1,1983/08/22,863,
+07DA001,1,1983/08/23,819,
+07DA001,1,1983/08/24,785,
+07DA001,1,1983/08/25,753,
+07DA001,1,1983/08/26,719,
+07DA001,1,1983/08/27,693,
+07DA001,1,1983/08/28,670,
+07DA001,1,1983/08/29,653,
+07DA001,1,1983/08/30,642,
+07DA001,1,1983/08/31,639,
+07DA001,1,1983/09/01,635,
+07DA001,1,1983/09/02,633,
+07DA001,1,1983/09/03,630,
+07DA001,1,1983/09/04,633,
+07DA001,1,1983/09/05,643,
+07DA001,1,1983/09/06,649,
+07DA001,1,1983/09/07,677,
+07DA001,1,1983/09/08,716,
+07DA001,1,1983/09/09,728,
+07DA001,1,1983/09/10,718,
+07DA001,1,1983/09/11,708,
+07DA001,1,1983/09/12,692,
+07DA001,1,1983/09/13,658,
+07DA001,1,1983/09/14,637,
+07DA001,1,1983/09/15,621,
+07DA001,1,1983/09/16,607,
+07DA001,1,1983/09/17,596,
+07DA001,1,1983/09/18,584,
+07DA001,1,1983/09/19,582,
+07DA001,1,1983/09/20,581,
+07DA001,1,1983/09/21,576,
+07DA001,1,1983/09/22,571,
+07DA001,1,1983/09/23,574,
+07DA001,1,1983/09/24,578,
+07DA001,1,1983/09/25,578,
+07DA001,1,1983/09/26,565,
+07DA001,1,1983/09/27,550,
+07DA001,1,1983/09/28,533,
+07DA001,1,1983/09/29,522,
+07DA001,1,1983/09/30,515,
+07DA001,1,1983/10/01,508,
+07DA001,1,1983/10/02,507,
+07DA001,1,1983/10/03,507,
+07DA001,1,1983/10/04,522,
+07DA001,1,1983/10/05,528,
+07DA001,1,1983/10/06,518,
+07DA001,1,1983/10/07,503,
+07DA001,1,1983/10/08,492,
+07DA001,1,1983/10/09,485,
+07DA001,1,1983/10/10,482,
+07DA001,1,1983/10/11,475,
+07DA001,1,1983/10/12,470,
+07DA001,1,1983/10/13,470,
+07DA001,1,1983/10/14,477,
+07DA001,1,1983/10/15,487,
+07DA001,1,1983/10/16,485,
+07DA001,1,1983/10/17,484,
+07DA001,1,1983/10/18,482,
+07DA001,1,1983/10/19,485,
+07DA001,1,1983/10/20,484,
+07DA001,1,1983/10/21,480,
+07DA001,1,1983/10/22,480,
+07DA001,1,1983/10/23,483,
+07DA001,1,1983/10/24,478,
+07DA001,1,1983/10/25,472,
+07DA001,1,1983/10/26,469,
+07DA001,1,1983/10/27,465,
+07DA001,1,1983/10/28,460,
+07DA001,1,1983/10/29,454,
+07DA001,1,1983/10/30,452,
+07DA001,1,1983/10/31,448,
+07DA001,1,1983/11/01,450,
+07DA001,1,1983/11/02,447,
+07DA001,1,1983/11/03,470,
+07DA001,1,1983/11/04,590,
+07DA001,1,1983/11/05,599,
+07DA001,1,1983/11/06,576,
+07DA001,1,1983/11/07,570,
+07DA001,1,1983/11/08,568,
+07DA001,1,1983/11/09,573,
+07DA001,1,1983/11/10,561,
+07DA001,1,1983/11/11,532,
+07DA001,1,1983/11/12,518,
+07DA001,1,1983/11/13,508,
+07DA001,1,1983/11/14,514,
+07DA001,1,1983/11/15,518,
+07DA001,1,1983/11/16,496,
+07DA001,1,1983/11/17,478,
+07DA001,1,1983/11/18,470,
+07DA001,1,1983/11/19,478,
+07DA001,1,1983/11/20,487,
+07DA001,1,1983/11/21,478,
+07DA001,1,1983/11/22,466,B
+07DA001,1,1983/11/23,453,B
+07DA001,1,1983/11/24,442,B
+07DA001,1,1983/11/25,431,B
+07DA001,1,1983/11/26,421,B
+07DA001,1,1983/11/27,413,B
+07DA001,1,1983/11/28,405,B
+07DA001,1,1983/11/29,398,B
+07DA001,1,1983/11/30,375,B
+07DA001,1,1983/12/01,360,B
+07DA001,1,1983/12/02,343,B
+07DA001,1,1983/12/03,324,B
+07DA001,1,1983/12/04,305,B
+07DA001,1,1983/12/05,288,B
+07DA001,1,1983/12/06,271,B
+07DA001,1,1983/12/07,258,B
+07DA001,1,1983/12/08,245,B
+07DA001,1,1983/12/09,231,B
+07DA001,1,1983/12/10,222,B
+07DA001,1,1983/12/11,210,B
+07DA001,1,1983/12/12,207,B
+07DA001,1,1983/12/13,206,B
+07DA001,1,1983/12/14,200,B
+07DA001,1,1983/12/15,194,B
+07DA001,1,1983/12/16,184,B
+07DA001,1,1983/12/17,173,B
+07DA001,1,1983/12/18,168,B
+07DA001,1,1983/12/19,166,B
+07DA001,1,1983/12/20,166,B
+07DA001,1,1983/12/21,160,B
+07DA001,1,1983/12/22,159,B
+07DA001,1,1983/12/23,165,B
+07DA001,1,1983/12/24,167,B
+07DA001,1,1983/12/25,167,B
+07DA001,1,1983/12/26,171,B
+07DA001,1,1983/12/27,170,B
+07DA001,1,1983/12/28,177,B
+07DA001,1,1983/12/29,178,B
+07DA001,1,1983/12/30,174,B
+07DA001,1,1983/12/31,169,B
+07DA001,1,1984/01/01,167,B
+07DA001,1,1984/01/02,167,B
+07DA001,1,1984/01/03,168,B
+07DA001,1,1984/01/04,168,B
+07DA001,1,1984/01/05,168,B
+07DA001,1,1984/01/06,171,B
+07DA001,1,1984/01/07,173,B
+07DA001,1,1984/01/08,175,B
+07DA001,1,1984/01/09,177,B
+07DA001,1,1984/01/10,179,B
+07DA001,1,1984/01/11,182,B
+07DA001,1,1984/01/12,185,B
+07DA001,1,1984/01/13,186,B
+07DA001,1,1984/01/14,188,B
+07DA001,1,1984/01/15,189,B
+07DA001,1,1984/01/16,189,B
+07DA001,1,1984/01/17,188,B
+07DA001,1,1984/01/18,186,B
+07DA001,1,1984/01/19,184,B
+07DA001,1,1984/01/20,178,B
+07DA001,1,1984/01/21,173,B
+07DA001,1,1984/01/22,173,B
+07DA001,1,1984/01/23,175,B
+07DA001,1,1984/01/24,175,B
+07DA001,1,1984/01/25,176,B
+07DA001,1,1984/01/26,176,B
+07DA001,1,1984/01/27,176,B
+07DA001,1,1984/01/28,178,B
+07DA001,1,1984/01/29,179,B
+07DA001,1,1984/01/30,179,B
+07DA001,1,1984/01/31,179,B
+07DA001,1,1984/02/01,178,B
+07DA001,1,1984/02/02,178,B
+07DA001,1,1984/02/03,183,B
+07DA001,1,1984/02/04,186,B
+07DA001,1,1984/02/05,187,B
+07DA001,1,1984/02/06,189,B
+07DA001,1,1984/02/07,190,B
+07DA001,1,1984/02/08,191,B
+07DA001,1,1984/02/09,192,B
+07DA001,1,1984/02/10,190,B
+07DA001,1,1984/02/11,189,B
+07DA001,1,1984/02/12,188,B
+07DA001,1,1984/02/13,187,B
+07DA001,1,1984/02/14,187,B
+07DA001,1,1984/02/15,188,B
+07DA001,1,1984/02/16,188,B
+07DA001,1,1984/02/17,188,B
+07DA001,1,1984/02/18,189,B
+07DA001,1,1984/02/19,189,B
+07DA001,1,1984/02/20,189,B
+07DA001,1,1984/02/21,190,B
+07DA001,1,1984/02/22,189,B
+07DA001,1,1984/02/23,188,B
+07DA001,1,1984/02/24,188,B
+07DA001,1,1984/02/25,188,B
+07DA001,1,1984/02/26,186,B
+07DA001,1,1984/02/27,185,B
+07DA001,1,1984/02/28,184,B
+07DA001,1,1984/02/29,182,B
+07DA001,1,1984/03/01,180,B
+07DA001,1,1984/03/02,182,B
+07DA001,1,1984/03/03,184,B
+07DA001,1,1984/03/04,183,B
+07DA001,1,1984/03/05,181,B
+07DA001,1,1984/03/06,179,B
+07DA001,1,1984/03/07,180,B
+07DA001,1,1984/03/08,181,B
+07DA001,1,1984/03/09,181,B
+07DA001,1,1984/03/10,181,B
+07DA001,1,1984/03/11,181,B
+07DA001,1,1984/03/12,181,B
+07DA001,1,1984/03/13,181,B
+07DA001,1,1984/03/14,181,B
+07DA001,1,1984/03/15,181,B
+07DA001,1,1984/03/16,181,B
+07DA001,1,1984/03/17,181,B
+07DA001,1,1984/03/18,181,B
+07DA001,1,1984/03/19,182,B
+07DA001,1,1984/03/20,182,B
+07DA001,1,1984/03/21,183,B
+07DA001,1,1984/03/22,184,B
+07DA001,1,1984/03/23,186,B
+07DA001,1,1984/03/24,190,B
+07DA001,1,1984/03/25,194,B
+07DA001,1,1984/03/26,200,B
+07DA001,1,1984/03/27,205,B
+07DA001,1,1984/03/28,210,B
+07DA001,1,1984/03/29,216,B
+07DA001,1,1984/03/30,224,B
+07DA001,1,1984/03/31,230,B
+07DA001,1,1984/04/01,238,B
+07DA001,1,1984/04/02,245,B
+07DA001,1,1984/04/03,257,B
+07DA001,1,1984/04/04,277,B
+07DA001,1,1984/04/05,293,B
+07DA001,1,1984/04/06,332,B
+07DA001,1,1984/04/07,376,B
+07DA001,1,1984/04/08,408,B
+07DA001,1,1984/04/09,444,B
+07DA001,1,1984/04/10,468,B
+07DA001,1,1984/04/11,492,B
+07DA001,1,1984/04/12,520,B
+07DA001,1,1984/04/13,592,B
+07DA001,1,1984/04/14,598,B
+07DA001,1,1984/04/15,600,B
+07DA001,1,1984/04/16,592,B
+07DA001,1,1984/04/17,576,B
+07DA001,1,1984/04/18,557,
+07DA001,1,1984/04/19,533,
+07DA001,1,1984/04/20,509,
+07DA001,1,1984/04/21,492,
+07DA001,1,1984/04/22,483,
+07DA001,1,1984/04/23,507,
+07DA001,1,1984/04/24,555,
+07DA001,1,1984/04/25,564,
+07DA001,1,1984/04/26,537,
+07DA001,1,1984/04/27,528,
+07DA001,1,1984/04/28,527,
+07DA001,1,1984/04/29,519,
+07DA001,1,1984/04/30,501,
+07DA001,1,1984/05/01,472,
+07DA001,1,1984/05/02,448,
+07DA001,1,1984/05/03,436,
+07DA001,1,1984/05/04,433,
+07DA001,1,1984/05/05,434,
+07DA001,1,1984/05/06,437,
+07DA001,1,1984/05/07,446,
+07DA001,1,1984/05/08,446,
+07DA001,1,1984/05/09,444,
+07DA001,1,1984/05/10,445,
+07DA001,1,1984/05/11,471,
+07DA001,1,1984/05/12,469,
+07DA001,1,1984/05/13,464,
+07DA001,1,1984/05/14,469,
+07DA001,1,1984/05/15,507,
+07DA001,1,1984/05/16,553,
+07DA001,1,1984/05/17,550,
+07DA001,1,1984/05/18,554,
+07DA001,1,1984/05/19,575,
+07DA001,1,1984/05/20,615,
+07DA001,1,1984/05/21,782,
+07DA001,1,1984/05/22,1250,
+07DA001,1,1984/05/23,1290,
+07DA001,1,1984/05/24,1220,
+07DA001,1,1984/05/25,1160,
+07DA001,1,1984/05/26,1110,
+07DA001,1,1984/05/27,1070,
+07DA001,1,1984/05/28,1030,
+07DA001,1,1984/05/29,989,
+07DA001,1,1984/05/30,941,
+07DA001,1,1984/05/31,915,
+07DA001,1,1984/06/01,1000,
+07DA001,1,1984/06/02,1330,
+07DA001,1,1984/06/03,1520,
+07DA001,1,1984/06/04,1540,
+07DA001,1,1984/06/05,1560,
+07DA001,1,1984/06/06,1630,
+07DA001,1,1984/06/07,1560,
+07DA001,1,1984/06/08,1460,
+07DA001,1,1984/06/09,1380,
+07DA001,1,1984/06/10,1350,
+07DA001,1,1984/06/11,1700,
+07DA001,1,1984/06/12,1940,
+07DA001,1,1984/06/13,1910,
+07DA001,1,1984/06/14,1880,
+07DA001,1,1984/06/15,1750,
+07DA001,1,1984/06/16,1640,
+07DA001,1,1984/06/17,1650,
+07DA001,1,1984/06/18,1680,
+07DA001,1,1984/06/19,1680,
+07DA001,1,1984/06/20,1730,
+07DA001,1,1984/06/21,1740,
+07DA001,1,1984/06/22,1630,
+07DA001,1,1984/06/23,1450,
+07DA001,1,1984/06/24,1290,
+07DA001,1,1984/06/25,1180,
+07DA001,1,1984/06/26,1090,
+07DA001,1,1984/06/27,1040,
+07DA001,1,1984/06/28,1060,
+07DA001,1,1984/06/29,1160,
+07DA001,1,1984/06/30,1240,
+07DA001,1,1984/07/01,1250,
+07DA001,1,1984/07/02,1230,
+07DA001,1,1984/07/03,1300,
+07DA001,1,1984/07/04,1520,
+07DA001,1,1984/07/05,1580,
+07DA001,1,1984/07/06,1400,
+07DA001,1,1984/07/07,1250,
+07DA001,1,1984/07/08,1210,
+07DA001,1,1984/07/09,1200,
+07DA001,1,1984/07/10,1230,
+07DA001,1,1984/07/11,1330,
+07DA001,1,1984/07/12,1360,
+07DA001,1,1984/07/13,1270,
+07DA001,1,1984/07/14,1170,
+07DA001,1,1984/07/15,1110,
+07DA001,1,1984/07/16,1080,
+07DA001,1,1984/07/17,1090,
+07DA001,1,1984/07/18,1120,
+07DA001,1,1984/07/19,1100,
+07DA001,1,1984/07/20,1050,
+07DA001,1,1984/07/21,1000,
+07DA001,1,1984/07/22,985,
+07DA001,1,1984/07/23,992,
+07DA001,1,1984/07/24,1010,
+07DA001,1,1984/07/25,986,
+07DA001,1,1984/07/26,936,
+07DA001,1,1984/07/27,877,
+07DA001,1,1984/07/28,815,
+07DA001,1,1984/07/29,762,
+07DA001,1,1984/07/30,734,
+07DA001,1,1984/07/31,732,
+07DA001,1,1984/08/01,756,
+07DA001,1,1984/08/02,817,
+07DA001,1,1984/08/03,873,
+07DA001,1,1984/08/04,858,
+07DA001,1,1984/08/05,819,
+07DA001,1,1984/08/06,802,
+07DA001,1,1984/08/07,802,
+07DA001,1,1984/08/08,803,
+07DA001,1,1984/08/09,799,
+07DA001,1,1984/08/10,795,
+07DA001,1,1984/08/11,790,
+07DA001,1,1984/08/12,784,
+07DA001,1,1984/08/13,795,
+07DA001,1,1984/08/14,760,
+07DA001,1,1984/08/15,703,
+07DA001,1,1984/08/16,713,
+07DA001,1,1984/08/17,733,
+07DA001,1,1984/08/18,728,
+07DA001,1,1984/08/19,727,
+07DA001,1,1984/08/20,704,
+07DA001,1,1984/08/21,667,
+07DA001,1,1984/08/22,654,A
+07DA001,1,1984/08/23,640,E
+07DA001,1,1984/08/24,640,E
+07DA001,1,1984/08/25,636,E
+07DA001,1,1984/08/26,620,E
+07DA001,1,1984/08/27,600,E
+07DA001,1,1984/08/28,584,E
+07DA001,1,1984/08/29,582,E
+07DA001,1,1984/08/30,585,E
+07DA001,1,1984/08/31,602,E
+07DA001,1,1984/09/01,608,E
+07DA001,1,1984/09/02,622,E
+07DA001,1,1984/09/03,680,A
+07DA001,1,1984/09/04,692,A
+07DA001,1,1984/09/05,646,E
+07DA001,1,1984/09/06,620,E
+07DA001,1,1984/09/07,594,E
+07DA001,1,1984/09/08,585,E
+07DA001,1,1984/09/09,604,E
+07DA001,1,1984/09/10,638,E
+07DA001,1,1984/09/11,654,A
+07DA001,1,1984/09/12,755,
+07DA001,1,1984/09/13,866,
+07DA001,1,1984/09/14,889,
+07DA001,1,1984/09/15,879,
+07DA001,1,1984/09/16,889,
+07DA001,1,1984/09/17,899,
+07DA001,1,1984/09/18,877,
+07DA001,1,1984/09/19,836,
+07DA001,1,1984/09/20,792,
+07DA001,1,1984/09/21,750,
+07DA001,1,1984/09/22,719,
+07DA001,1,1984/09/23,726,
+07DA001,1,1984/09/24,1040,
+07DA001,1,1984/09/25,1210,
+07DA001,1,1984/09/26,1230,
+07DA001,1,1984/09/27,1160,
+07DA001,1,1984/09/28,1040,
+07DA001,1,1984/09/29,965,
+07DA001,1,1984/09/30,907,
+07DA001,1,1984/10/01,853,
+07DA001,1,1984/10/02,799,
+07DA001,1,1984/10/03,749,
+07DA001,1,1984/10/04,713,
+07DA001,1,1984/10/05,692,
+07DA001,1,1984/10/06,670,
+07DA001,1,1984/10/07,655,
+07DA001,1,1984/10/08,647,
+07DA001,1,1984/10/09,664,
+07DA001,1,1984/10/10,724,
+07DA001,1,1984/10/11,763,
+07DA001,1,1984/10/12,760,
+07DA001,1,1984/10/13,738,
+07DA001,1,1984/10/14,720,
+07DA001,1,1984/10/15,731,
+07DA001,1,1984/10/16,765,
+07DA001,1,1984/10/17,765,
+07DA001,1,1984/10/18,770,
+07DA001,1,1984/10/19,776,
+07DA001,1,1984/10/20,779,
+07DA001,1,1984/10/21,786,
+07DA001,1,1984/10/22,785,
+07DA001,1,1984/10/23,774,
+07DA001,1,1984/10/24,746,
+07DA001,1,1984/10/25,718,
+07DA001,1,1984/10/26,720,B
+07DA001,1,1984/10/27,700,B
+07DA001,1,1984/10/28,660,B
+07DA001,1,1984/10/29,620,B
+07DA001,1,1984/10/30,600,B
+07DA001,1,1984/10/31,565,B
+07DA001,1,1984/11/01,543,B
+07DA001,1,1984/11/02,520,B
+07DA001,1,1984/11/03,500,B
+07DA001,1,1984/11/04,480,B
+07DA001,1,1984/11/05,465,B
+07DA001,1,1984/11/06,448,B
+07DA001,1,1984/11/07,433,B
+07DA001,1,1984/11/08,420,B
+07DA001,1,1984/11/09,408,B
+07DA001,1,1984/11/10,395,B
+07DA001,1,1984/11/11,385,B
+07DA001,1,1984/11/12,375,B
+07DA001,1,1984/11/13,365,B
+07DA001,1,1984/11/14,356,B
+07DA001,1,1984/11/15,348,B
+07DA001,1,1984/11/16,340,B
+07DA001,1,1984/11/17,333,B
+07DA001,1,1984/11/18,327,B
+07DA001,1,1984/11/19,320,B
+07DA001,1,1984/11/20,315,B
+07DA001,1,1984/11/21,309,B
+07DA001,1,1984/11/22,303,B
+07DA001,1,1984/11/23,298,B
+07DA001,1,1984/11/24,293,B
+07DA001,1,1984/11/25,289,B
+07DA001,1,1984/11/26,285,B
+07DA001,1,1984/11/27,281,B
+07DA001,1,1984/11/28,277,B
+07DA001,1,1984/11/29,273,B
+07DA001,1,1984/11/30,269,B
+07DA001,1,1984/12/01,266,B
+07DA001,1,1984/12/02,263,B
+07DA001,1,1984/12/03,260,B
+07DA001,1,1984/12/04,257,B
+07DA001,1,1984/12/05,254,B
+07DA001,1,1984/12/06,251,B
+07DA001,1,1984/12/07,250,B
+07DA001,1,1984/12/08,247,B
+07DA001,1,1984/12/09,245,B
+07DA001,1,1984/12/10,242,B
+07DA001,1,1984/12/11,240,B
+07DA001,1,1984/12/12,238,B
+07DA001,1,1984/12/13,237,B
+07DA001,1,1984/12/14,234,B
+07DA001,1,1984/12/15,232,B
+07DA001,1,1984/12/16,230,B
+07DA001,1,1984/12/17,228,B
+07DA001,1,1984/12/18,226,B
+07DA001,1,1984/12/19,224,B
+07DA001,1,1984/12/20,223,B
+07DA001,1,1984/12/21,222,B
+07DA001,1,1984/12/22,220,B
+07DA001,1,1984/12/23,219,B
+07DA001,1,1984/12/24,218,B
+07DA001,1,1984/12/25,216,B
+07DA001,1,1984/12/26,215,B
+07DA001,1,1984/12/27,214,B
+07DA001,1,1984/12/28,212,B
+07DA001,1,1984/12/29,211,B
+07DA001,1,1984/12/30,210,B
+07DA001,1,1984/12/31,208,B
+07DA001,1,1985/01/01,207,B
+07DA001,1,1985/01/02,205,B
+07DA001,1,1985/01/03,204,B
+07DA001,1,1985/01/04,203,B
+07DA001,1,1985/01/05,202,B
+07DA001,1,1985/01/06,201,B
+07DA001,1,1985/01/07,200,B
+07DA001,1,1985/01/08,199,B
+07DA001,1,1985/01/09,198,B
+07DA001,1,1985/01/10,197,B
+07DA001,1,1985/01/11,196,B
+07DA001,1,1985/01/12,195,B
+07DA001,1,1985/01/13,194,B
+07DA001,1,1985/01/14,193,B
+07DA001,1,1985/01/15,193,B
+07DA001,1,1985/01/16,192,B
+07DA001,1,1985/01/17,191,B
+07DA001,1,1985/01/18,190,B
+07DA001,1,1985/01/19,190,B
+07DA001,1,1985/01/20,189,B
+07DA001,1,1985/01/21,188,B
+07DA001,1,1985/01/22,187,B
+07DA001,1,1985/01/23,186,B
+07DA001,1,1985/01/24,185,B
+07DA001,1,1985/01/25,184,B
+07DA001,1,1985/01/26,183,B
+07DA001,1,1985/01/27,183,B
+07DA001,1,1985/01/28,182,B
+07DA001,1,1985/01/29,182,B
+07DA001,1,1985/01/30,181,B
+07DA001,1,1985/01/31,181,B
+07DA001,1,1985/02/01,180,B
+07DA001,1,1985/02/02,180,B
+07DA001,1,1985/02/03,179,B
+07DA001,1,1985/02/04,179,B
+07DA001,1,1985/02/05,178,B
+07DA001,1,1985/02/06,178,B
+07DA001,1,1985/02/07,177,B
+07DA001,1,1985/02/08,177,B
+07DA001,1,1985/02/09,176,B
+07DA001,1,1985/02/10,175,B
+07DA001,1,1985/02/11,174,B
+07DA001,1,1985/02/12,174,B
+07DA001,1,1985/02/13,173,B
+07DA001,1,1985/02/14,173,B
+07DA001,1,1985/02/15,172,B
+07DA001,1,1985/02/16,172,B
+07DA001,1,1985/02/17,171,B
+07DA001,1,1985/02/18,171,B
+07DA001,1,1985/02/19,170,B
+07DA001,1,1985/02/20,170,B
+07DA001,1,1985/02/21,170,B
+07DA001,1,1985/02/22,170,B
+07DA001,1,1985/02/23,169,B
+07DA001,1,1985/02/24,169,B
+07DA001,1,1985/02/25,169,B
+07DA001,1,1985/02/26,169,B
+07DA001,1,1985/02/27,168,B
+07DA001,1,1985/02/28,168,B
+07DA001,1,1985/03/01,167,B
+07DA001,1,1985/03/02,167,B
+07DA001,1,1985/03/03,167,B
+07DA001,1,1985/03/04,166,B
+07DA001,1,1985/03/05,166,B
+07DA001,1,1985/03/06,166,B
+07DA001,1,1985/03/07,166,B
+07DA001,1,1985/03/08,165,B
+07DA001,1,1985/03/09,165,B
+07DA001,1,1985/03/10,165,B
+07DA001,1,1985/03/11,165,B
+07DA001,1,1985/03/12,164,B
+07DA001,1,1985/03/13,164,B
+07DA001,1,1985/03/14,164,B
+07DA001,1,1985/03/15,164,B
+07DA001,1,1985/03/16,164,B
+07DA001,1,1985/03/17,165,B
+07DA001,1,1985/03/18,167,B
+07DA001,1,1985/03/19,168,B
+07DA001,1,1985/03/20,170,B
+07DA001,1,1985/03/21,172,B
+07DA001,1,1985/03/22,174,B
+07DA001,1,1985/03/23,177,B
+07DA001,1,1985/03/24,180,B
+07DA001,1,1985/03/25,184,B
+07DA001,1,1985/03/26,189,B
+07DA001,1,1985/03/27,194,B
+07DA001,1,1985/03/28,200,B
+07DA001,1,1985/03/29,208,B
+07DA001,1,1985/03/30,218,B
+07DA001,1,1985/03/31,229,B
+07DA001,1,1985/04/01,240,B
+07DA001,1,1985/04/02,255,B
+07DA001,1,1985/04/03,259,B
+07DA001,1,1985/04/04,262,B
+07DA001,1,1985/04/05,263,B
+07DA001,1,1985/04/06,274,B
+07DA001,1,1985/04/07,278,B
+07DA001,1,1985/04/08,298,B
+07DA001,1,1985/04/09,310,B
+07DA001,1,1985/04/10,330,B
+07DA001,1,1985/04/11,350,B
+07DA001,1,1985/04/12,370,B
+07DA001,1,1985/04/13,420,B
+07DA001,1,1985/04/14,495,B
+07DA001,1,1985/04/15,570,B
+07DA001,1,1985/04/16,700,B
+07DA001,1,1985/04/17,770,B
+07DA001,1,1985/04/18,800,B
+07DA001,1,1985/04/19,760,B
+07DA001,1,1985/04/20,710,B
+07DA001,1,1985/04/21,690,B
+07DA001,1,1985/04/22,700,B
+07DA001,1,1985/04/23,730,B
+07DA001,1,1985/04/24,790,B
+07DA001,1,1985/04/25,840,B
+07DA001,1,1985/04/26,900,B
+07DA001,1,1985/04/27,960,
+07DA001,1,1985/04/28,1010,
+07DA001,1,1985/04/29,1060,
+07DA001,1,1985/04/30,1120,
+07DA001,1,1985/05/01,1160,
+07DA001,1,1985/05/02,1180,
+07DA001,1,1985/05/03,1190,
+07DA001,1,1985/05/04,1280,
+07DA001,1,1985/05/05,1580,
+07DA001,1,1985/05/06,1840,
+07DA001,1,1985/05/07,1920,
+07DA001,1,1985/05/08,1920,
+07DA001,1,1985/05/09,1890,
+07DA001,1,1985/05/10,1830,
+07DA001,1,1985/05/11,1740,
+07DA001,1,1985/05/12,1670,
+07DA001,1,1985/05/13,1590,
+07DA001,1,1985/05/14,1510,
+07DA001,1,1985/05/15,1450,
+07DA001,1,1985/05/16,1370,
+07DA001,1,1985/05/17,1290,
+07DA001,1,1985/05/18,1220,
+07DA001,1,1985/05/19,1140,
+07DA001,1,1985/05/20,1080,
+07DA001,1,1985/05/21,1010,
+07DA001,1,1985/05/22,970,
+07DA001,1,1985/05/23,929,
+07DA001,1,1985/05/24,908,
+07DA001,1,1985/05/25,936,
+07DA001,1,1985/05/26,1010,
+07DA001,1,1985/05/27,1020,
+07DA001,1,1985/05/28,1060,
+07DA001,1,1985/05/29,1130,
+07DA001,1,1985/05/30,1200,
+07DA001,1,1985/05/31,1240,
+07DA001,1,1985/06/01,1190,
+07DA001,1,1985/06/02,1140,
+07DA001,1,1985/06/03,1110,
+07DA001,1,1985/06/04,1150,
+07DA001,1,1985/06/05,1170,
+07DA001,1,1985/06/06,1120,
+07DA001,1,1985/06/07,1070,
+07DA001,1,1985/06/08,1040,
+07DA001,1,1985/06/09,1040,
+07DA001,1,1985/06/10,1040,
+07DA001,1,1985/06/11,1020,
+07DA001,1,1985/06/12,977,
+07DA001,1,1985/06/13,927,
+07DA001,1,1985/06/14,888,
+07DA001,1,1985/06/15,848,
+07DA001,1,1985/06/16,806,
+07DA001,1,1985/06/17,772,
+07DA001,1,1985/06/18,746,
+07DA001,1,1985/06/19,773,
+07DA001,1,1985/06/20,812,
+07DA001,1,1985/06/21,829,
+07DA001,1,1985/06/22,839,
+07DA001,1,1985/06/23,808,
+07DA001,1,1985/06/24,770,
+07DA001,1,1985/06/25,827,
+07DA001,1,1985/06/26,955,
+07DA001,1,1985/06/27,1010,
+07DA001,1,1985/06/28,1690,
+07DA001,1,1985/06/29,1720,
+07DA001,1,1985/06/30,1620,
+07DA001,1,1985/07/01,1460,
+07DA001,1,1985/07/02,1360,
+07DA001,1,1985/07/03,1340,
+07DA001,1,1985/07/04,1340,
+07DA001,1,1985/07/05,1350,
+07DA001,1,1985/07/06,1320,
+07DA001,1,1985/07/07,1210,
+07DA001,1,1985/07/08,1120,
+07DA001,1,1985/07/09,1060,
+07DA001,1,1985/07/10,1030,
+07DA001,1,1985/07/11,1010,
+07DA001,1,1985/07/12,967,
+07DA001,1,1985/07/13,910,
+07DA001,1,1985/07/14,865,
+07DA001,1,1985/07/15,854,
+07DA001,1,1985/07/16,862,
+07DA001,1,1985/07/17,864,
+07DA001,1,1985/07/18,842,
+07DA001,1,1985/07/19,794,
+07DA001,1,1985/07/20,740,
+07DA001,1,1985/07/21,702,
+07DA001,1,1985/07/22,698,
+07DA001,1,1985/07/23,684,
+07DA001,1,1985/07/24,677,
+07DA001,1,1985/07/25,669,
+07DA001,1,1985/07/26,683,
+07DA001,1,1985/07/27,701,
+07DA001,1,1985/07/28,728,
+07DA001,1,1985/07/29,740,
+07DA001,1,1985/07/30,727,
+07DA001,1,1985/07/31,700,
+07DA001,1,1985/08/01,666,
+07DA001,1,1985/08/02,644,
+07DA001,1,1985/08/03,615,
+07DA001,1,1985/08/04,594,
+07DA001,1,1985/08/05,590,
+07DA001,1,1985/08/06,591,
+07DA001,1,1985/08/07,598,
+07DA001,1,1985/08/08,613,
+07DA001,1,1985/08/09,630,
+07DA001,1,1985/08/10,631,
+07DA001,1,1985/08/11,627,
+07DA001,1,1985/08/12,611,
+07DA001,1,1985/08/13,584,
+07DA001,1,1985/08/14,601,
+07DA001,1,1985/08/15,631,
+07DA001,1,1985/08/16,628,
+07DA001,1,1985/08/17,614,
+07DA001,1,1985/08/18,611,
+07DA001,1,1985/08/19,636,
+07DA001,1,1985/08/20,689,
+07DA001,1,1985/08/21,754,
+07DA001,1,1985/08/22,812,
+07DA001,1,1985/08/23,760,
+07DA001,1,1985/08/24,720,
+07DA001,1,1985/08/25,714,
+07DA001,1,1985/08/26,708,
+07DA001,1,1985/08/27,756,
+07DA001,1,1985/08/28,719,
+07DA001,1,1985/08/29,677,
+07DA001,1,1985/08/30,651,
+07DA001,1,1985/08/31,649,
+07DA001,1,1985/09/01,647,
+07DA001,1,1985/09/02,623,
+07DA001,1,1985/09/03,598,
+07DA001,1,1985/09/04,577,
+07DA001,1,1985/09/05,575,
+07DA001,1,1985/09/06,570,
+07DA001,1,1985/09/07,559,
+07DA001,1,1985/09/08,541,
+07DA001,1,1985/09/09,523,
+07DA001,1,1985/09/10,514,
+07DA001,1,1985/09/11,512,
+07DA001,1,1985/09/12,516,
+07DA001,1,1985/09/13,540,
+07DA001,1,1985/09/14,541,
+07DA001,1,1985/09/15,521,
+07DA001,1,1985/09/16,512,
+07DA001,1,1985/09/17,550,
+07DA001,1,1985/09/18,1110,
+07DA001,1,1985/09/19,1210,
+07DA001,1,1985/09/20,1170,
+07DA001,1,1985/09/21,1090,
+07DA001,1,1985/09/22,1010,
+07DA001,1,1985/09/23,951,
+07DA001,1,1985/09/24,895,
+07DA001,1,1985/09/25,850,
+07DA001,1,1985/09/26,837,
+07DA001,1,1985/09/27,812,
+07DA001,1,1985/09/28,798,
+07DA001,1,1985/09/29,788,
+07DA001,1,1985/09/30,783,
+07DA001,1,1985/10/01,772,
+07DA001,1,1985/10/02,758,
+07DA001,1,1985/10/03,739,
+07DA001,1,1985/10/04,705,
+07DA001,1,1985/10/05,681,
+07DA001,1,1985/10/06,653,
+07DA001,1,1985/10/07,640,
+07DA001,1,1985/10/08,627,
+07DA001,1,1985/10/09,617,
+07DA001,1,1985/10/10,609,
+07DA001,1,1985/10/11,592,
+07DA001,1,1985/10/12,582,
+07DA001,1,1985/10/13,572,
+07DA001,1,1985/10/14,568,
+07DA001,1,1985/10/15,559,
+07DA001,1,1985/10/16,560,
+07DA001,1,1985/10/17,557,
+07DA001,1,1985/10/18,563,
+07DA001,1,1985/10/19,577,
+07DA001,1,1985/10/20,596,
+07DA001,1,1985/10/21,615,
+07DA001,1,1985/10/22,631,
+07DA001,1,1985/10/23,636,
+07DA001,1,1985/10/24,627,
+07DA001,1,1985/10/25,623,
+07DA001,1,1985/10/26,609,
+07DA001,1,1985/10/27,596,
+07DA001,1,1985/10/28,595,
+07DA001,1,1985/10/29,565,
+07DA001,1,1985/10/30,547,
+07DA001,1,1985/10/31,528,
+07DA001,1,1985/11/01,529,
+07DA001,1,1985/11/02,516,
+07DA001,1,1985/11/03,496,
+07DA001,1,1985/11/04,483,
+07DA001,1,1985/11/05,469,
+07DA001,1,1985/11/06,455,B
+07DA001,1,1985/11/07,440,B
+07DA001,1,1985/11/08,430,B
+07DA001,1,1985/11/09,415,B
+07DA001,1,1985/11/10,405,B
+07DA001,1,1985/11/11,390,B
+07DA001,1,1985/11/12,380,B
+07DA001,1,1985/11/13,370,B
+07DA001,1,1985/11/14,360,B
+07DA001,1,1985/11/15,350,B
+07DA001,1,1985/11/16,340,B
+07DA001,1,1985/11/17,330,B
+07DA001,1,1985/11/18,320,B
+07DA001,1,1985/11/19,310,B
+07DA001,1,1985/11/20,300,B
+07DA001,1,1985/11/21,295,B
+07DA001,1,1985/11/22,285,B
+07DA001,1,1985/11/23,275,B
+07DA001,1,1985/11/24,270,B
+07DA001,1,1985/11/25,263,B
+07DA001,1,1985/11/26,253,B
+07DA001,1,1985/11/27,250,B
+07DA001,1,1985/11/28,245,B
+07DA001,1,1985/11/29,240,B
+07DA001,1,1985/11/30,238,B
+07DA001,1,1985/12/01,232,B
+07DA001,1,1985/12/02,230,B
+07DA001,1,1985/12/03,225,B
+07DA001,1,1985/12/04,222,B
+07DA001,1,1985/12/05,220,B
+07DA001,1,1985/12/06,217,B
+07DA001,1,1985/12/07,213,B
+07DA001,1,1985/12/08,210,B
+07DA001,1,1985/12/09,208,B
+07DA001,1,1985/12/10,206,B
+07DA001,1,1985/12/11,204,B
+07DA001,1,1985/12/12,202,B
+07DA001,1,1985/12/13,200,B
+07DA001,1,1985/12/14,199,B
+07DA001,1,1985/12/15,198,B
+07DA001,1,1985/12/16,197,B
+07DA001,1,1985/12/17,196,B
+07DA001,1,1985/12/18,195,B
+07DA001,1,1985/12/19,194,B
+07DA001,1,1985/12/20,194,B
+07DA001,1,1985/12/21,193,B
+07DA001,1,1985/12/22,191,B
+07DA001,1,1985/12/23,191,B
+07DA001,1,1985/12/24,191,B
+07DA001,1,1985/12/25,191,B
+07DA001,1,1985/12/26,191,B
+07DA001,1,1985/12/27,191,B
+07DA001,1,1985/12/28,190,B
+07DA001,1,1985/12/29,189,B
+07DA001,1,1985/12/30,188,B
+07DA001,1,1985/12/31,188,B
+07DA001,1,1986/01/01,188,B
+07DA001,1,1986/01/02,186,B
+07DA001,1,1986/01/03,184,B
+07DA001,1,1986/01/04,182,B
+07DA001,1,1986/01/05,181,B
+07DA001,1,1986/01/06,179,B
+07DA001,1,1986/01/07,178,B
+07DA001,1,1986/01/08,177,B
+07DA001,1,1986/01/09,176,B
+07DA001,1,1986/01/10,175,B
+07DA001,1,1986/01/11,174,B
+07DA001,1,1986/01/12,174,B
+07DA001,1,1986/01/13,173,B
+07DA001,1,1986/01/14,173,B
+07DA001,1,1986/01/15,172,B
+07DA001,1,1986/01/16,172,B
+07DA001,1,1986/01/17,171,B
+07DA001,1,1986/01/18,171,B
+07DA001,1,1986/01/19,171,B
+07DA001,1,1986/01/20,171,B
+07DA001,1,1986/01/21,170,B
+07DA001,1,1986/01/22,170,B
+07DA001,1,1986/01/23,170,B
+07DA001,1,1986/01/24,170,B
+07DA001,1,1986/01/25,170,B
+07DA001,1,1986/01/26,170,B
+07DA001,1,1986/01/27,170,B
+07DA001,1,1986/01/28,169,B
+07DA001,1,1986/01/29,169,B
+07DA001,1,1986/01/30,168,B
+07DA001,1,1986/01/31,168,B
+07DA001,1,1986/02/01,167,B
+07DA001,1,1986/02/02,167,B
+07DA001,1,1986/02/03,167,B
+07DA001,1,1986/02/04,167,B
+07DA001,1,1986/02/05,167,B
+07DA001,1,1986/02/06,167,B
+07DA001,1,1986/02/07,167,B
+07DA001,1,1986/02/08,167,B
+07DA001,1,1986/02/09,167,B
+07DA001,1,1986/02/10,167,B
+07DA001,1,1986/02/11,167,B
+07DA001,1,1986/02/12,167,B
+07DA001,1,1986/02/13,167,B
+07DA001,1,1986/02/14,167,B
+07DA001,1,1986/02/15,167,B
+07DA001,1,1986/02/16,167,B
+07DA001,1,1986/02/17,167,B
+07DA001,1,1986/02/18,167,B
+07DA001,1,1986/02/19,167,B
+07DA001,1,1986/02/20,167,B
+07DA001,1,1986/02/21,167,B
+07DA001,1,1986/02/22,167,B
+07DA001,1,1986/02/23,167,B
+07DA001,1,1986/02/24,167,B
+07DA001,1,1986/02/25,167,B
+07DA001,1,1986/02/26,166,B
+07DA001,1,1986/02/27,166,B
+07DA001,1,1986/02/28,166,B
+07DA001,1,1986/03/01,166,B
+07DA001,1,1986/03/02,166,B
+07DA001,1,1986/03/03,166,B
+07DA001,1,1986/03/04,166,B
+07DA001,1,1986/03/05,166,B
+07DA001,1,1986/03/06,166,B
+07DA001,1,1986/03/07,166,B
+07DA001,1,1986/03/08,166,B
+07DA001,1,1986/03/09,168,B
+07DA001,1,1986/03/10,170,B
+07DA001,1,1986/03/11,174,B
+07DA001,1,1986/03/12,178,B
+07DA001,1,1986/03/13,180,B
+07DA001,1,1986/03/14,184,B
+07DA001,1,1986/03/15,188,B
+07DA001,1,1986/03/16,194,B
+07DA001,1,1986/03/17,200,B
+07DA001,1,1986/03/18,205,B
+07DA001,1,1986/03/19,210,B
+07DA001,1,1986/03/20,217,B
+07DA001,1,1986/03/21,225,B
+07DA001,1,1986/03/22,232,B
+07DA001,1,1986/03/23,239,B
+07DA001,1,1986/03/24,245,B
+07DA001,1,1986/03/25,252,B
+07DA001,1,1986/03/26,258,B
+07DA001,1,1986/03/27,260,B
+07DA001,1,1986/03/28,260,B
+07DA001,1,1986/03/29,262,B
+07DA001,1,1986/03/30,267,B
+07DA001,1,1986/03/31,270,B
+07DA001,1,1986/04/01,276,B
+07DA001,1,1986/04/02,286,B
+07DA001,1,1986/04/03,300,B
+07DA001,1,1986/04/04,318,B
+07DA001,1,1986/04/05,330,B
+07DA001,1,1986/04/06,345,B
+07DA001,1,1986/04/07,338,B
+07DA001,1,1986/04/08,345,B
+07DA001,1,1986/04/09,365,B
+07DA001,1,1986/04/10,380,B
+07DA001,1,1986/04/11,430,B
+07DA001,1,1986/04/12,450,B
+07DA001,1,1986/04/13,475,B
+07DA001,1,1986/04/14,485,B
+07DA001,1,1986/04/15,498,B
+07DA001,1,1986/04/16,490,B
+07DA001,1,1986/04/17,485,B
+07DA001,1,1986/04/18,480,B
+07DA001,1,1986/04/19,485,B
+07DA001,1,1986/04/20,500,B
+07DA001,1,1986/04/21,560,B
+07DA001,1,1986/04/22,620,B
+07DA001,1,1986/04/23,695,B
+07DA001,1,1986/04/24,760,B
+07DA001,1,1986/04/25,850,B
+07DA001,1,1986/04/26,925,B
+07DA001,1,1986/04/27,1070,
+07DA001,1,1986/04/28,1040,
+07DA001,1,1986/04/29,1050,
+07DA001,1,1986/04/30,989,
+07DA001,1,1986/05/01,935,
+07DA001,1,1986/05/02,930,
+07DA001,1,1986/05/03,987,
+07DA001,1,1986/05/04,959,
+07DA001,1,1986/05/05,960,
+07DA001,1,1986/05/06,941,
+07DA001,1,1986/05/07,924,
+07DA001,1,1986/05/08,913,
+07DA001,1,1986/05/09,927,
+07DA001,1,1986/05/10,981,
+07DA001,1,1986/05/11,1050,
+07DA001,1,1986/05/12,1070,
+07DA001,1,1986/05/13,1080,
+07DA001,1,1986/05/14,1080,
+07DA001,1,1986/05/15,1070,
+07DA001,1,1986/05/16,1060,
+07DA001,1,1986/05/17,1030,
+07DA001,1,1986/05/18,990,
+07DA001,1,1986/05/19,957,
+07DA001,1,1986/05/20,926,
+07DA001,1,1986/05/21,906,
+07DA001,1,1986/05/22,913,
+07DA001,1,1986/05/23,955,
+07DA001,1,1986/05/24,986,
+07DA001,1,1986/05/25,1030,
+07DA001,1,1986/05/26,1120,
+07DA001,1,1986/05/27,1220,
+07DA001,1,1986/05/28,1240,
+07DA001,1,1986/05/29,1200,
+07DA001,1,1986/05/30,1140,
+07DA001,1,1986/05/31,1100,
+07DA001,1,1986/06/01,1420,
+07DA001,1,1986/06/02,1730,
+07DA001,1,1986/06/03,1810,
+07DA001,1,1986/06/04,1800,
+07DA001,1,1986/06/05,1760,
+07DA001,1,1986/06/06,1710,
+07DA001,1,1986/06/07,1630,
+07DA001,1,1986/06/08,1480,
+07DA001,1,1986/06/09,1330,
+07DA001,1,1986/06/10,1230,
+07DA001,1,1986/06/11,1190,
+07DA001,1,1986/06/12,1200,
+07DA001,1,1986/06/13,1190,
+07DA001,1,1986/06/14,1160,
+07DA001,1,1986/06/15,1120,
+07DA001,1,1986/06/16,1110,
+07DA001,1,1986/06/17,1150,
+07DA001,1,1986/06/18,1080,
+07DA001,1,1986/06/19,1020,
+07DA001,1,1986/06/20,1130,
+07DA001,1,1986/06/21,1250,
+07DA001,1,1986/06/22,1230,
+07DA001,1,1986/06/23,1260,
+07DA001,1,1986/06/24,1380,
+07DA001,1,1986/06/25,1360,
+07DA001,1,1986/06/26,1230,
+07DA001,1,1986/06/27,1120,
+07DA001,1,1986/06/28,1040,
+07DA001,1,1986/06/29,1030,
+07DA001,1,1986/06/30,1110,
+07DA001,1,1986/07/01,1100,
+07DA001,1,1986/07/02,1010,
+07DA001,1,1986/07/03,939,
+07DA001,1,1986/07/04,909,
+07DA001,1,1986/07/05,920,
+07DA001,1,1986/07/06,995,
+07DA001,1,1986/07/07,1030,
+07DA001,1,1986/07/08,1050,
+07DA001,1,1986/07/09,1060,
+07DA001,1,1986/07/10,1050,
+07DA001,1,1986/07/11,1040,
+07DA001,1,1986/07/12,1040,
+07DA001,1,1986/07/13,1080,
+07DA001,1,1986/07/14,1130,
+07DA001,1,1986/07/15,1230,
+07DA001,1,1986/07/16,1280,
+07DA001,1,1986/07/17,1320,
+07DA001,1,1986/07/18,1500,
+07DA001,1,1986/07/19,1730,
+07DA001,1,1986/07/20,2220,
+07DA001,1,1986/07/21,3610,
+07DA001,1,1986/07/22,4440,
+07DA001,1,1986/07/23,4430,
+07DA001,1,1986/07/24,3580,
+07DA001,1,1986/07/25,3120,
+07DA001,1,1986/07/26,2990,
+07DA001,1,1986/07/27,3010,
+07DA001,1,1986/07/28,2930,
+07DA001,1,1986/07/29,2650,
+07DA001,1,1986/07/30,2270,
+07DA001,1,1986/07/31,2050,
+07DA001,1,1986/08/01,1890,
+07DA001,1,1986/08/02,1770,
+07DA001,1,1986/08/03,1700,
+07DA001,1,1986/08/04,1630,
+07DA001,1,1986/08/05,1520,
+07DA001,1,1986/08/06,1440,
+07DA001,1,1986/08/07,1380,
+07DA001,1,1986/08/08,1350,
+07DA001,1,1986/08/09,1350,
+07DA001,1,1986/08/10,1330,
+07DA001,1,1986/08/11,1270,
+07DA001,1,1986/08/12,1220,
+07DA001,1,1986/08/13,1170,
+07DA001,1,1986/08/14,1130,
+07DA001,1,1986/08/15,1090,
+07DA001,1,1986/08/16,1050,
+07DA001,1,1986/08/17,1020,
+07DA001,1,1986/08/18,1020,
+07DA001,1,1986/08/19,1010,
+07DA001,1,1986/08/20,978,
+07DA001,1,1986/08/21,948,
+07DA001,1,1986/08/22,902,
+07DA001,1,1986/08/23,859,
+07DA001,1,1986/08/24,822,
+07DA001,1,1986/08/25,802,
+07DA001,1,1986/08/26,794,
+07DA001,1,1986/08/27,770,
+07DA001,1,1986/08/28,744,
+07DA001,1,1986/08/29,728,
+07DA001,1,1986/08/30,719,
+07DA001,1,1986/08/31,714,
+07DA001,1,1986/09/01,711,
+07DA001,1,1986/09/02,701,
+07DA001,1,1986/09/03,687,
+07DA001,1,1986/09/04,692,
+07DA001,1,1986/09/05,712,
+07DA001,1,1986/09/06,720,
+07DA001,1,1986/09/07,708,
+07DA001,1,1986/09/08,697,
+07DA001,1,1986/09/09,705,
+07DA001,1,1986/09/10,725,
+07DA001,1,1986/09/11,735,
+07DA001,1,1986/09/12,738,
+07DA001,1,1986/09/13,703,
+07DA001,1,1986/09/14,664,
+07DA001,1,1986/09/15,654,
+07DA001,1,1986/09/16,656,
+07DA001,1,1986/09/17,655,
+07DA001,1,1986/09/18,655,
+07DA001,1,1986/09/19,648,
+07DA001,1,1986/09/20,633,
+07DA001,1,1986/09/21,617,
+07DA001,1,1986/09/22,610,
+07DA001,1,1986/09/23,600,
+07DA001,1,1986/09/24,591,
+07DA001,1,1986/09/25,581,
+07DA001,1,1986/09/26,572,
+07DA001,1,1986/09/27,560,
+07DA001,1,1986/09/28,551,
+07DA001,1,1986/09/29,541,
+07DA001,1,1986/09/30,536,
+07DA001,1,1986/10/01,544,
+07DA001,1,1986/10/02,619,
+07DA001,1,1986/10/03,787,
+07DA001,1,1986/10/04,810,
+07DA001,1,1986/10/05,847,
+07DA001,1,1986/10/06,927,
+07DA001,1,1986/10/07,938,
+07DA001,1,1986/10/08,905,
+07DA001,1,1986/10/09,901,
+07DA001,1,1986/10/10,912,
+07DA001,1,1986/10/11,900,
+07DA001,1,1986/10/12,899,
+07DA001,1,1986/10/13,903,
+07DA001,1,1986/10/14,879,
+07DA001,1,1986/10/15,844,
+07DA001,1,1986/10/16,806,
+07DA001,1,1986/10/17,771,
+07DA001,1,1986/10/18,739,
+07DA001,1,1986/10/19,710,
+07DA001,1,1986/10/20,686,
+07DA001,1,1986/10/21,663,
+07DA001,1,1986/10/22,644,
+07DA001,1,1986/10/23,629,
+07DA001,1,1986/10/24,616,
+07DA001,1,1986/10/25,602,
+07DA001,1,1986/10/26,590,
+07DA001,1,1986/10/27,577,
+07DA001,1,1986/10/28,568,
+07DA001,1,1986/10/29,553,
+07DA001,1,1986/10/30,540,
+07DA001,1,1986/10/31,529,
+07DA001,1,1986/11/01,524,
+07DA001,1,1986/11/02,487,
+07DA001,1,1986/11/03,484,
+07DA001,1,1986/11/04,506,
+07DA001,1,1986/11/05,514,
+07DA001,1,1986/11/06,508,
+07DA001,1,1986/11/07,546,
+07DA001,1,1986/11/08,470,B
+07DA001,1,1986/11/09,450,B
+07DA001,1,1986/11/10,425,B
+07DA001,1,1986/11/11,405,B
+07DA001,1,1986/11/12,398,B
+07DA001,1,1986/11/13,380,B
+07DA001,1,1986/11/14,370,B
+07DA001,1,1986/11/15,360,B
+07DA001,1,1986/11/16,348,B
+07DA001,1,1986/11/17,337,B
+07DA001,1,1986/11/18,328,B
+07DA001,1,1986/11/19,318,B
+07DA001,1,1986/11/20,310,B
+07DA001,1,1986/11/21,300,B
+07DA001,1,1986/11/22,297,B
+07DA001,1,1986/11/23,290,B
+07DA001,1,1986/11/24,283,B
+07DA001,1,1986/11/25,278,B
+07DA001,1,1986/11/26,270,B
+07DA001,1,1986/11/27,267,B
+07DA001,1,1986/11/28,260,B
+07DA001,1,1986/11/29,256,B
+07DA001,1,1986/11/30,250,B
+07DA001,1,1986/12/01,248,B
+07DA001,1,1986/12/02,242,B
+07DA001,1,1986/12/03,238,B
+07DA001,1,1986/12/04,234,B
+07DA001,1,1986/12/05,230,B
+07DA001,1,1986/12/06,228,B
+07DA001,1,1986/12/07,223,B
+07DA001,1,1986/12/08,220,B
+07DA001,1,1986/12/09,218,B
+07DA001,1,1986/12/10,215,B
+07DA001,1,1986/12/11,212,B
+07DA001,1,1986/12/12,210,B
+07DA001,1,1986/12/13,207,B
+07DA001,1,1986/12/14,203,B
+07DA001,1,1986/12/15,200,B
+07DA001,1,1986/12/16,198,B
+07DA001,1,1986/12/17,197,B
+07DA001,1,1986/12/18,196,B
+07DA001,1,1986/12/19,193,B
+07DA001,1,1986/12/20,190,B
+07DA001,1,1986/12/21,188,B
+07DA001,1,1986/12/22,187,B
+07DA001,1,1986/12/23,186,B
+07DA001,1,1986/12/24,184,B
+07DA001,1,1986/12/25,182,B
+07DA001,1,1986/12/26,180,B
+07DA001,1,1986/12/27,178,B
+07DA001,1,1986/12/28,177,B
+07DA001,1,1986/12/29,176,B
+07DA001,1,1986/12/30,175,B
+07DA001,1,1986/12/31,174,B
+07DA001,1,1987/01/01,174,B
+07DA001,1,1987/01/02,174,B
+07DA001,1,1987/01/03,174,B
+07DA001,1,1987/01/04,174,B
+07DA001,1,1987/01/05,174,B
+07DA001,1,1987/01/06,173,B
+07DA001,1,1987/01/07,173,B
+07DA001,1,1987/01/08,173,B
+07DA001,1,1987/01/09,173,B
+07DA001,1,1987/01/10,173,B
+07DA001,1,1987/01/11,173,B
+07DA001,1,1987/01/12,172,B
+07DA001,1,1987/01/13,172,B
+07DA001,1,1987/01/14,172,B
+07DA001,1,1987/01/15,172,B
+07DA001,1,1987/01/16,172,B
+07DA001,1,1987/01/17,171,B
+07DA001,1,1987/01/18,171,B
+07DA001,1,1987/01/19,171,B
+07DA001,1,1987/01/20,171,B
+07DA001,1,1987/01/21,171,B
+07DA001,1,1987/01/22,171,B
+07DA001,1,1987/01/23,170,B
+07DA001,1,1987/01/24,170,B
+07DA001,1,1987/01/25,170,B
+07DA001,1,1987/01/26,170,B
+07DA001,1,1987/01/27,170,B
+07DA001,1,1987/01/28,170,B
+07DA001,1,1987/01/29,169,B
+07DA001,1,1987/01/30,169,B
+07DA001,1,1987/01/31,169,B
+07DA001,1,1987/02/01,169,B
+07DA001,1,1987/02/02,169,B
+07DA001,1,1987/02/03,169,B
+07DA001,1,1987/02/04,169,B
+07DA001,1,1987/02/05,169,B
+07DA001,1,1987/02/06,169,B
+07DA001,1,1987/02/07,169,B
+07DA001,1,1987/02/08,169,B
+07DA001,1,1987/02/09,169,B
+07DA001,1,1987/02/10,169,B
+07DA001,1,1987/02/11,168,B
+07DA001,1,1987/02/12,168,B
+07DA001,1,1987/02/13,168,B
+07DA001,1,1987/02/14,168,B
+07DA001,1,1987/02/15,168,B
+07DA001,1,1987/02/16,168,B
+07DA001,1,1987/02/17,168,B
+07DA001,1,1987/02/18,168,B
+07DA001,1,1987/02/19,168,B
+07DA001,1,1987/02/20,168,B
+07DA001,1,1987/02/21,167,B
+07DA001,1,1987/02/22,167,B
+07DA001,1,1987/02/23,167,B
+07DA001,1,1987/02/24,167,B
+07DA001,1,1987/02/25,167,B
+07DA001,1,1987/02/26,167,B
+07DA001,1,1987/02/27,167,B
+07DA001,1,1987/02/28,167,B
+07DA001,1,1987/03/01,167,B
+07DA001,1,1987/03/02,167,B
+07DA001,1,1987/03/03,167,B
+07DA001,1,1987/03/04,168,B
+07DA001,1,1987/03/05,168,B
+07DA001,1,1987/03/06,168,B
+07DA001,1,1987/03/07,168,B
+07DA001,1,1987/03/08,169,B
+07DA001,1,1987/03/09,169,B
+07DA001,1,1987/03/10,168,B
+07DA001,1,1987/03/11,167,B
+07DA001,1,1987/03/12,167,B
+07DA001,1,1987/03/13,166,B
+07DA001,1,1987/03/14,166,B
+07DA001,1,1987/03/15,167,B
+07DA001,1,1987/03/16,174,B
+07DA001,1,1987/03/17,183,B
+07DA001,1,1987/03/18,183,B
+07DA001,1,1987/03/19,181,B
+07DA001,1,1987/03/20,179,B
+07DA001,1,1987/03/21,177,B
+07DA001,1,1987/03/22,174,B
+07DA001,1,1987/03/23,174,B
+07DA001,1,1987/03/24,180,B
+07DA001,1,1987/03/25,182,B
+07DA001,1,1987/03/26,184,B
+07DA001,1,1987/03/27,185,B
+07DA001,1,1987/03/28,184,B
+07DA001,1,1987/03/29,185,B
+07DA001,1,1987/03/30,185,B
+07DA001,1,1987/03/31,188,B
+07DA001,1,1987/04/01,190,B
+07DA001,1,1987/04/02,190,B
+07DA001,1,1987/04/03,190,B
+07DA001,1,1987/04/04,193,B
+07DA001,1,1987/04/05,197,B
+07DA001,1,1987/04/06,210,B
+07DA001,1,1987/04/07,224,B
+07DA001,1,1987/04/08,253,B
+07DA001,1,1987/04/09,311,B
+07DA001,1,1987/04/10,360,B
+07DA001,1,1987/04/11,433,B
+07DA001,1,1987/04/12,494,B
+07DA001,1,1987/04/13,523,B
+07DA001,1,1987/04/14,780,B
+07DA001,1,1987/04/15,910,B
+07DA001,1,1987/04/16,1120,B
+07DA001,1,1987/04/17,1350,B
+07DA001,1,1987/04/18,1550,
+07DA001,1,1987/04/19,1250,
+07DA001,1,1987/04/20,1360,
+07DA001,1,1987/04/21,1170,
+07DA001,1,1987/04/22,988,
+07DA001,1,1987/04/23,934,
+07DA001,1,1987/04/24,854,
+07DA001,1,1987/04/25,811,
+07DA001,1,1987/04/26,771,
+07DA001,1,1987/04/27,737,
+07DA001,1,1987/04/28,715,
+07DA001,1,1987/04/29,698,
+07DA001,1,1987/04/30,708,
+07DA001,1,1987/05/01,721,
+07DA001,1,1987/05/02,737,
+07DA001,1,1987/05/03,762,
+07DA001,1,1987/05/04,768,
+07DA001,1,1987/05/05,779,
+07DA001,1,1987/05/06,774,
+07DA001,1,1987/05/07,782,
+07DA001,1,1987/05/08,842,
+07DA001,1,1987/05/09,897,
+07DA001,1,1987/05/10,902,
+07DA001,1,1987/05/11,866,
+07DA001,1,1987/05/12,836,
+07DA001,1,1987/05/13,806,
+07DA001,1,1987/05/14,790,
+07DA001,1,1987/05/15,853,
+07DA001,1,1987/05/16,935,
+07DA001,1,1987/05/17,936,
+07DA001,1,1987/05/18,913,
+07DA001,1,1987/05/19,954,
+07DA001,1,1987/05/20,955,
+07DA001,1,1987/05/21,917,
+07DA001,1,1987/05/22,887,
+07DA001,1,1987/05/23,870,
+07DA001,1,1987/05/24,870,
+07DA001,1,1987/05/25,891,
+07DA001,1,1987/05/26,890,
+07DA001,1,1987/05/27,872,
+07DA001,1,1987/05/28,859,
+07DA001,1,1987/05/29,853,
+07DA001,1,1987/05/30,842,
+07DA001,1,1987/05/31,840,
+07DA001,1,1987/06/01,847,
+07DA001,1,1987/06/02,908,
+07DA001,1,1987/06/03,1020,
+07DA001,1,1987/06/04,1100,
+07DA001,1,1987/06/05,1110,
+07DA001,1,1987/06/06,1110,
+07DA001,1,1987/06/07,1100,
+07DA001,1,1987/06/08,1050,
+07DA001,1,1987/06/09,1000,
+07DA001,1,1987/06/10,973,
+07DA001,1,1987/06/11,999,
+07DA001,1,1987/06/12,1210,
+07DA001,1,1987/06/13,1230,
+07DA001,1,1987/06/14,1190,
+07DA001,1,1987/06/15,1190,
+07DA001,1,1987/06/16,1200,
+07DA001,1,1987/06/17,1120,
+07DA001,1,1987/06/18,1100,
+07DA001,1,1987/06/19,1260,
+07DA001,1,1987/06/20,1230,
+07DA001,1,1987/06/21,1190,
+07DA001,1,1987/06/22,1150,
+07DA001,1,1987/06/23,1070,
+07DA001,1,1987/06/24,1010,
+07DA001,1,1987/06/25,980,
+07DA001,1,1987/06/26,987,
+07DA001,1,1987/06/27,1020,
+07DA001,1,1987/06/28,1010,
+07DA001,1,1987/06/29,929,
+07DA001,1,1987/06/30,856,
+07DA001,1,1987/07/01,781,
+07DA001,1,1987/07/02,744,
+07DA001,1,1987/07/03,763,
+07DA001,1,1987/07/04,809,
+07DA001,1,1987/07/05,825,
+07DA001,1,1987/07/06,823,
+07DA001,1,1987/07/07,828,
+07DA001,1,1987/07/08,837,
+07DA001,1,1987/07/09,853,
+07DA001,1,1987/07/10,868,
+07DA001,1,1987/07/11,877,
+07DA001,1,1987/07/12,854,
+07DA001,1,1987/07/13,813,
+07DA001,1,1987/07/14,778,
+07DA001,1,1987/07/15,764,
+07DA001,1,1987/07/16,761,
+07DA001,1,1987/07/17,758,
+07DA001,1,1987/07/18,738,
+07DA001,1,1987/07/19,721,
+07DA001,1,1987/07/20,723,
+07DA001,1,1987/07/21,735,
+07DA001,1,1987/07/22,729,
+07DA001,1,1987/07/23,702,
+07DA001,1,1987/07/24,676,
+07DA001,1,1987/07/25,647,
+07DA001,1,1987/07/26,635,
+07DA001,1,1987/07/27,629,
+07DA001,1,1987/07/28,631,
+07DA001,1,1987/07/29,633,
+07DA001,1,1987/07/30,637,
+07DA001,1,1987/07/31,652,
+07DA001,1,1987/08/01,715,
+07DA001,1,1987/08/02,754,
+07DA001,1,1987/08/03,748,
+07DA001,1,1987/08/04,739,
+07DA001,1,1987/08/05,771,
+07DA001,1,1987/08/06,1810,
+07DA001,1,1987/08/07,2090,
+07DA001,1,1987/08/08,1800,
+07DA001,1,1987/08/09,1670,
+07DA001,1,1987/08/10,1630,
+07DA001,1,1987/08/11,1510,
+07DA001,1,1987/08/12,1380,
+07DA001,1,1987/08/13,1280,
+07DA001,1,1987/08/14,1210,
+07DA001,1,1987/08/15,1180,
+07DA001,1,1987/08/16,1190,
+07DA001,1,1987/08/17,1130,
+07DA001,1,1987/08/18,1050,
+07DA001,1,1987/08/19,1010,
+07DA001,1,1987/08/20,952,
+07DA001,1,1987/08/21,897,
+07DA001,1,1987/08/22,858,
+07DA001,1,1987/08/23,826,
+07DA001,1,1987/08/24,813,
+07DA001,1,1987/08/25,810,
+07DA001,1,1987/08/26,841,
+07DA001,1,1987/08/27,846,
+07DA001,1,1987/08/28,806,
+07DA001,1,1987/08/29,764,
+07DA001,1,1987/08/30,736,A
+07DA001,1,1987/08/31,695,E
+07DA001,1,1987/09/01,720,E
+07DA001,1,1987/09/02,680,E
+07DA001,1,1987/09/03,615,E
+07DA001,1,1987/09/04,640,E
+07DA001,1,1987/09/05,620,E
+07DA001,1,1987/09/06,600,E
+07DA001,1,1987/09/07,640,E
+07DA001,1,1987/09/08,680,E
+07DA001,1,1987/09/09,675,E
+07DA001,1,1987/09/10,658,A
+07DA001,1,1987/09/11,600,E
+07DA001,1,1987/09/12,580,E
+07DA001,1,1987/09/13,560,E
+07DA001,1,1987/09/14,545,E
+07DA001,1,1987/09/15,525,E
+07DA001,1,1987/09/16,520,E
+07DA001,1,1987/09/17,525,E
+07DA001,1,1987/09/18,520,E
+07DA001,1,1987/09/19,540,E
+07DA001,1,1987/09/20,560,E
+07DA001,1,1987/09/21,565,E
+07DA001,1,1987/09/22,540,E
+07DA001,1,1987/09/23,513,A
+07DA001,1,1987/09/24,488,
+07DA001,1,1987/09/25,463,
+07DA001,1,1987/09/26,444,
+07DA001,1,1987/09/27,426,
+07DA001,1,1987/09/28,411,
+07DA001,1,1987/09/29,399,
+07DA001,1,1987/09/30,404,
+07DA001,1,1987/10/01,409,
+07DA001,1,1987/10/02,406,
+07DA001,1,1987/10/03,401,
+07DA001,1,1987/10/04,399,
+07DA001,1,1987/10/05,398,
+07DA001,1,1987/10/06,383,
+07DA001,1,1987/10/07,371,
+07DA001,1,1987/10/08,368,
+07DA001,1,1987/10/09,362,
+07DA001,1,1987/10/10,361,
+07DA001,1,1987/10/11,360,
+07DA001,1,1987/10/12,371,
+07DA001,1,1987/10/13,368,
+07DA001,1,1987/10/14,347,
+07DA001,1,1987/10/15,338,
+07DA001,1,1987/10/16,331,
+07DA001,1,1987/10/17,326,
+07DA001,1,1987/10/18,321,
+07DA001,1,1987/10/19,307,
+07DA001,1,1987/10/20,297,
+07DA001,1,1987/10/21,296,
+07DA001,1,1987/10/22,294,
+07DA001,1,1987/10/23,283,
+07DA001,1,1987/10/24,280,
+07DA001,1,1987/10/25,271,
+07DA001,1,1987/10/26,265,
+07DA001,1,1987/10/27,259,
+07DA001,1,1987/10/28,255,
+07DA001,1,1987/10/29,253,
+07DA001,1,1987/10/30,255,
+07DA001,1,1987/10/31,255,
+07DA001,1,1987/11/01,251,
+07DA001,1,1987/11/02,244,
+07DA001,1,1987/11/03,242,
+07DA001,1,1987/11/04,237,B
+07DA001,1,1987/11/05,230,B
+07DA001,1,1987/11/06,233,B
+07DA001,1,1987/11/07,231,B
+07DA001,1,1987/11/08,226,B
+07DA001,1,1987/11/09,225,B
+07DA001,1,1987/11/10,232,B
+07DA001,1,1987/11/11,231,B
+07DA001,1,1987/11/12,237,B
+07DA001,1,1987/11/13,237,B
+07DA001,1,1987/11/14,233,B
+07DA001,1,1987/11/15,224,B
+07DA001,1,1987/11/16,215,B
+07DA001,1,1987/11/17,200,B
+07DA001,1,1987/11/18,182,B
+07DA001,1,1987/11/19,172,B
+07DA001,1,1987/11/20,170,B
+07DA001,1,1987/11/21,180,B
+07DA001,1,1987/11/22,185,B
+07DA001,1,1987/11/23,175,B
+07DA001,1,1987/11/24,174,B
+07DA001,1,1987/11/25,178,B
+07DA001,1,1987/11/26,185,B
+07DA001,1,1987/11/27,195,B
+07DA001,1,1987/11/28,200,B
+07DA001,1,1987/11/29,197,B
+07DA001,1,1987/11/30,195,B
+07DA001,1,1987/12/01,190,B
+07DA001,1,1987/12/02,185,B
+07DA001,1,1987/12/03,182,B
+07DA001,1,1987/12/04,178,B
+07DA001,1,1987/12/05,175,B
+07DA001,1,1987/12/06,172,B
+07DA001,1,1987/12/07,170,B
+07DA001,1,1987/12/08,168,B
+07DA001,1,1987/12/09,166,B
+07DA001,1,1987/12/10,164,B
+07DA001,1,1987/12/11,162,B
+07DA001,1,1987/12/12,160,B
+07DA001,1,1987/12/13,157,B
+07DA001,1,1987/12/14,154,B
+07DA001,1,1987/12/15,151,B
+07DA001,1,1987/12/16,149,B
+07DA001,1,1987/12/17,147,B
+07DA001,1,1987/12/18,145,B
+07DA001,1,1987/12/19,142,B
+07DA001,1,1987/12/20,139,B
+07DA001,1,1987/12/21,137,B
+07DA001,1,1987/12/22,136,B
+07DA001,1,1987/12/23,132,B
+07DA001,1,1987/12/24,127,B
+07DA001,1,1987/12/25,125,B
+07DA001,1,1987/12/26,123,B
+07DA001,1,1987/12/27,119,B
+07DA001,1,1987/12/28,115,B
+07DA001,1,1987/12/29,112,B
+07DA001,1,1987/12/30,109,B
+07DA001,1,1987/12/31,104,B
+07DA001,1,1988/01/01,104,B
+07DA001,1,1988/01/02,102,B
+07DA001,1,1988/01/03,102,B
+07DA001,1,1988/01/04,110,B
+07DA001,1,1988/01/05,118,B
+07DA001,1,1988/01/06,116,B
+07DA001,1,1988/01/07,113,B
+07DA001,1,1988/01/08,111,B
+07DA001,1,1988/01/09,107,B
+07DA001,1,1988/01/10,104,B
+07DA001,1,1988/01/11,101,B
+07DA001,1,1988/01/12,98.2,B
+07DA001,1,1988/01/13,94.0,B
+07DA001,1,1988/01/14,92.4,B
+07DA001,1,1988/01/15,92.1,B
+07DA001,1,1988/01/16,92.3,B
+07DA001,1,1988/01/17,90.5,B
+07DA001,1,1988/01/18,88.6,B
+07DA001,1,1988/01/19,88.6,B
+07DA001,1,1988/01/20,91.3,B
+07DA001,1,1988/01/21,92.4,B
+07DA001,1,1988/01/22,93.9,B
+07DA001,1,1988/01/23,96.6,B
+07DA001,1,1988/01/24,97.2,B
+07DA001,1,1988/01/25,99.3,B
+07DA001,1,1988/01/26,100,B
+07DA001,1,1988/01/27,102,B
+07DA001,1,1988/01/28,105,B
+07DA001,1,1988/01/29,107,B
+07DA001,1,1988/01/30,109,B
+07DA001,1,1988/01/31,109,B
+07DA001,1,1988/02/01,110,B
+07DA001,1,1988/02/02,110,B
+07DA001,1,1988/02/03,109,B
+07DA001,1,1988/02/04,109,B
+07DA001,1,1988/02/05,108,B
+07DA001,1,1988/02/06,108,B
+07DA001,1,1988/02/07,108,B
+07DA001,1,1988/02/08,108,B
+07DA001,1,1988/02/09,107,B
+07DA001,1,1988/02/10,106,B
+07DA001,1,1988/02/11,104,B
+07DA001,1,1988/02/12,101,B
+07DA001,1,1988/02/13,97.3,B
+07DA001,1,1988/02/14,95.4,B
+07DA001,1,1988/02/15,94.8,B
+07DA001,1,1988/02/16,96.0,B
+07DA001,1,1988/02/17,98.1,B
+07DA001,1,1988/02/18,98.7,B
+07DA001,1,1988/02/19,99.1,B
+07DA001,1,1988/02/20,103,B
+07DA001,1,1988/02/21,106,B
+07DA001,1,1988/02/22,107,B
+07DA001,1,1988/02/23,106,B
+07DA001,1,1988/02/24,107,B
+07DA001,1,1988/02/25,109,B
+07DA001,1,1988/02/26,110,B
+07DA001,1,1988/02/27,110,B
+07DA001,1,1988/02/28,110,B
+07DA001,1,1988/02/29,112,B
+07DA001,1,1988/03/01,113,B
+07DA001,1,1988/03/02,114,B
+07DA001,1,1988/03/03,115,B
+07DA001,1,1988/03/04,117,B
+07DA001,1,1988/03/05,117,B
+07DA001,1,1988/03/06,117,B
+07DA001,1,1988/03/07,118,B
+07DA001,1,1988/03/08,118,B
+07DA001,1,1988/03/09,119,B
+07DA001,1,1988/03/10,121,B
+07DA001,1,1988/03/11,123,B
+07DA001,1,1988/03/12,125,B
+07DA001,1,1988/03/13,127,B
+07DA001,1,1988/03/14,129,B
+07DA001,1,1988/03/15,130,B
+07DA001,1,1988/03/16,130,B
+07DA001,1,1988/03/17,131,B
+07DA001,1,1988/03/18,134,B
+07DA001,1,1988/03/19,136,B
+07DA001,1,1988/03/20,137,B
+07DA001,1,1988/03/21,138,B
+07DA001,1,1988/03/22,140,B
+07DA001,1,1988/03/23,142,B
+07DA001,1,1988/03/24,144,B
+07DA001,1,1988/03/25,145,B
+07DA001,1,1988/03/26,147,B
+07DA001,1,1988/03/27,149,B
+07DA001,1,1988/03/28,154,B
+07DA001,1,1988/03/29,157,B
+07DA001,1,1988/03/30,158,B
+07DA001,1,1988/03/31,160,B
+07DA001,1,1988/04/01,166,B
+07DA001,1,1988/04/02,175,B
+07DA001,1,1988/04/03,185,B
+07DA001,1,1988/04/04,187,B
+07DA001,1,1988/04/05,186,B
+07DA001,1,1988/04/06,186,B
+07DA001,1,1988/04/07,188,B
+07DA001,1,1988/04/08,194,B
+07DA001,1,1988/04/09,196,B
+07DA001,1,1988/04/10,203,B
+07DA001,1,1988/04/11,211,B
+07DA001,1,1988/04/12,215,B
+07DA001,1,1988/04/13,227,B
+07DA001,1,1988/04/14,239,B
+07DA001,1,1988/04/15,262,B
+07DA001,1,1988/04/16,280,B
+07DA001,1,1988/04/17,298,B
+07DA001,1,1988/04/18,310,B
+07DA001,1,1988/04/19,330,B
+07DA001,1,1988/04/20,350,B
+07DA001,1,1988/04/21,365,B
+07DA001,1,1988/04/22,385,B
+07DA001,1,1988/04/23,400,B
+07DA001,1,1988/04/24,430,B
+07DA001,1,1988/04/25,460,B
+07DA001,1,1988/04/26,480,B
+07DA001,1,1988/04/27,500,B
+07DA001,1,1988/04/28,520,B
+07DA001,1,1988/04/29,526,
+07DA001,1,1988/04/30,523,
+07DA001,1,1988/05/01,522,
+07DA001,1,1988/05/02,521,
+07DA001,1,1988/05/03,504,
+07DA001,1,1988/05/04,483,
+07DA001,1,1988/05/05,447,
+07DA001,1,1988/05/06,439,
+07DA001,1,1988/05/07,444,
+07DA001,1,1988/05/08,437,
+07DA001,1,1988/05/09,427,
+07DA001,1,1988/05/10,416,
+07DA001,1,1988/05/11,408,
+07DA001,1,1988/05/12,403,
+07DA001,1,1988/05/13,397,
+07DA001,1,1988/05/14,389,
+07DA001,1,1988/05/15,382,
+07DA001,1,1988/05/16,384,
+07DA001,1,1988/05/17,388,
+07DA001,1,1988/05/18,422,
+07DA001,1,1988/05/19,531,
+07DA001,1,1988/05/20,674,
+07DA001,1,1988/05/21,665,
+07DA001,1,1988/05/22,614,
+07DA001,1,1988/05/23,570,
+07DA001,1,1988/05/24,561,
+07DA001,1,1988/05/25,542,
+07DA001,1,1988/05/26,505,
+07DA001,1,1988/05/27,513,
+07DA001,1,1988/05/28,495,
+07DA001,1,1988/05/29,484,
+07DA001,1,1988/05/30,518,
+07DA001,1,1988/05/31,616,
+07DA001,1,1988/06/01,631,
+07DA001,1,1988/06/02,640,
+07DA001,1,1988/06/03,653,
+07DA001,1,1988/06/04,677,
+07DA001,1,1988/06/05,701,
+07DA001,1,1988/06/06,709,
+07DA001,1,1988/06/07,712,
+07DA001,1,1988/06/08,713,
+07DA001,1,1988/06/09,695,
+07DA001,1,1988/06/10,687,
+07DA001,1,1988/06/11,722,
+07DA001,1,1988/06/12,846,
+07DA001,1,1988/06/13,1280,A
+07DA001,1,1988/06/14,1700,
+07DA001,1,1988/06/15,1720,
+07DA001,1,1988/06/16,1700,
+07DA001,1,1988/06/17,1560,
+07DA001,1,1988/06/18,1390,
+07DA001,1,1988/06/19,1250,
+07DA001,1,1988/06/20,1160,
+07DA001,1,1988/06/21,1130,
+07DA001,1,1988/06/22,1130,
+07DA001,1,1988/06/23,1130,
+07DA001,1,1988/06/24,1110,
+07DA001,1,1988/06/25,1040,
+07DA001,1,1988/06/26,974,
+07DA001,1,1988/06/27,924,
+07DA001,1,1988/06/28,902,
+07DA001,1,1988/06/29,956,
+07DA001,1,1988/06/30,997,
+07DA001,1,1988/07/01,1000,
+07DA001,1,1988/07/02,1010,
+07DA001,1,1988/07/03,1070,
+07DA001,1,1988/07/04,1160,
+07DA001,1,1988/07/05,1170,
+07DA001,1,1988/07/06,1210,
+07DA001,1,1988/07/07,1310,
+07DA001,1,1988/07/08,1330,
+07DA001,1,1988/07/09,1550,
+07DA001,1,1988/07/10,2090,
+07DA001,1,1988/07/11,2190,
+07DA001,1,1988/07/12,2060,
+07DA001,1,1988/07/13,1920,
+07DA001,1,1988/07/14,1960,
+07DA001,1,1988/07/15,1950,
+07DA001,1,1988/07/16,1970,
+07DA001,1,1988/07/17,2020,
+07DA001,1,1988/07/18,1900,
+07DA001,1,1988/07/19,1720,
+07DA001,1,1988/07/20,1570,
+07DA001,1,1988/07/21,1450,
+07DA001,1,1988/07/22,1340,
+07DA001,1,1988/07/23,1250,
+07DA001,1,1988/07/24,1170,
+07DA001,1,1988/07/25,1090,
+07DA001,1,1988/07/26,1030,
+07DA001,1,1988/07/27,992,
+07DA001,1,1988/07/28,972,
+07DA001,1,1988/07/29,942,
+07DA001,1,1988/07/30,889,
+07DA001,1,1988/07/31,843,
+07DA001,1,1988/08/01,832,
+07DA001,1,1988/08/02,827,
+07DA001,1,1988/08/03,829,
+07DA001,1,1988/08/04,800,
+07DA001,1,1988/08/05,751,
+07DA001,1,1988/08/06,725,
+07DA001,1,1988/08/07,711,
+07DA001,1,1988/08/08,687,
+07DA001,1,1988/08/09,671,
+07DA001,1,1988/08/10,656,
+07DA001,1,1988/08/11,663,
+07DA001,1,1988/08/12,757,
+07DA001,1,1988/08/13,849,
+07DA001,1,1988/08/14,825,
+07DA001,1,1988/08/15,772,
+07DA001,1,1988/08/16,750,
+07DA001,1,1988/08/17,738,
+07DA001,1,1988/08/18,707,
+07DA001,1,1988/08/19,683,
+07DA001,1,1988/08/20,672,
+07DA001,1,1988/08/21,683,
+07DA001,1,1988/08/22,695,
+07DA001,1,1988/08/23,748,
+07DA001,1,1988/08/24,807,
+07DA001,1,1988/08/25,819,
+07DA001,1,1988/08/26,806,
+07DA001,1,1988/08/27,770,
+07DA001,1,1988/08/28,735,
+07DA001,1,1988/08/29,701,
+07DA001,1,1988/08/30,682,
+07DA001,1,1988/08/31,707,
+07DA001,1,1988/09/01,716,
+07DA001,1,1988/09/02,716,
+07DA001,1,1988/09/03,703,
+07DA001,1,1988/09/04,682,
+07DA001,1,1988/09/05,669,
+07DA001,1,1988/09/06,659,
+07DA001,1,1988/09/07,626,
+07DA001,1,1988/09/08,586,
+07DA001,1,1988/09/09,565,
+07DA001,1,1988/09/10,562,
+07DA001,1,1988/09/11,577,
+07DA001,1,1988/09/12,589,
+07DA001,1,1988/09/13,586,
+07DA001,1,1988/09/14,603,
+07DA001,1,1988/09/15,577,
+07DA001,1,1988/09/16,531,
+07DA001,1,1988/09/17,502,
+07DA001,1,1988/09/18,484,
+07DA001,1,1988/09/19,468,
+07DA001,1,1988/09/20,453,
+07DA001,1,1988/09/21,449,
+07DA001,1,1988/09/22,457,
+07DA001,1,1988/09/23,468,
+07DA001,1,1988/09/24,472,
+07DA001,1,1988/09/25,458,
+07DA001,1,1988/09/26,449,
+07DA001,1,1988/09/27,439,
+07DA001,1,1988/09/28,432,
+07DA001,1,1988/09/29,420,
+07DA001,1,1988/09/30,416,
+07DA001,1,1988/10/01,410,
+07DA001,1,1988/10/02,409,
+07DA001,1,1988/10/03,404,
+07DA001,1,1988/10/04,401,
+07DA001,1,1988/10/05,402,
+07DA001,1,1988/10/06,398,
+07DA001,1,1988/10/07,386,
+07DA001,1,1988/10/08,391,
+07DA001,1,1988/10/09,430,
+07DA001,1,1988/10/10,430,
+07DA001,1,1988/10/11,419,
+07DA001,1,1988/10/12,411,
+07DA001,1,1988/10/13,406,
+07DA001,1,1988/10/14,402,
+07DA001,1,1988/10/15,397,
+07DA001,1,1988/10/16,391,
+07DA001,1,1988/10/17,385,
+07DA001,1,1988/10/18,379,
+07DA001,1,1988/10/19,377,
+07DA001,1,1988/10/20,378,
+07DA001,1,1988/10/21,379,
+07DA001,1,1988/10/22,381,
+07DA001,1,1988/10/23,383,
+07DA001,1,1988/10/24,380,
+07DA001,1,1988/10/25,371,
+07DA001,1,1988/10/26,364,B
+07DA001,1,1988/10/27,363,B
+07DA001,1,1988/10/28,347,B
+07DA001,1,1988/10/29,343,B
+07DA001,1,1988/10/30,342,B
+07DA001,1,1988/10/31,355,B
+07DA001,1,1988/11/01,358,B
+07DA001,1,1988/11/02,358,B
+07DA001,1,1988/11/03,358,B
+07DA001,1,1988/11/04,340,B
+07DA001,1,1988/11/05,325,B
+07DA001,1,1988/11/06,310,B
+07DA001,1,1988/11/07,295,B
+07DA001,1,1988/11/08,280,B
+07DA001,1,1988/11/09,265,B
+07DA001,1,1988/11/10,252,B
+07DA001,1,1988/11/11,242,B
+07DA001,1,1988/11/12,232,B
+07DA001,1,1988/11/13,222,B
+07DA001,1,1988/11/14,212,B
+07DA001,1,1988/11/15,208,B
+07DA001,1,1988/11/16,200,B
+07DA001,1,1988/11/17,195,B
+07DA001,1,1988/11/18,190,B
+07DA001,1,1988/11/19,182,B
+07DA001,1,1988/11/20,178,B
+07DA001,1,1988/11/21,175,B
+07DA001,1,1988/11/22,172,B
+07DA001,1,1988/11/23,170,B
+07DA001,1,1988/11/24,170,B
+07DA001,1,1988/11/25,170,B
+07DA001,1,1988/11/26,170,B
+07DA001,1,1988/11/27,172,B
+07DA001,1,1988/11/28,172,B
+07DA001,1,1988/11/29,175,B
+07DA001,1,1988/11/30,180,B
+07DA001,1,1988/12/01,185,B
+07DA001,1,1988/12/02,190,B
+07DA001,1,1988/12/03,193,B
+07DA001,1,1988/12/04,198,B
+07DA001,1,1988/12/05,200,B
+07DA001,1,1988/12/06,198,B
+07DA001,1,1988/12/07,194,B
+07DA001,1,1988/12/08,192,B
+07DA001,1,1988/12/09,181,B
+07DA001,1,1988/12/10,166,B
+07DA001,1,1988/12/11,161,B
+07DA001,1,1988/12/12,155,B
+07DA001,1,1988/12/13,166,B
+07DA001,1,1988/12/14,187,B
+07DA001,1,1988/12/15,187,B
+07DA001,1,1988/12/16,180,B
+07DA001,1,1988/12/17,177,B
+07DA001,1,1988/12/18,179,B
+07DA001,1,1988/12/19,175,B
+07DA001,1,1988/12/20,166,B
+07DA001,1,1988/12/21,158,B
+07DA001,1,1988/12/22,153,B
+07DA001,1,1988/12/23,147,B
+07DA001,1,1988/12/24,145,B
+07DA001,1,1988/12/25,150,B
+07DA001,1,1988/12/26,152,B
+07DA001,1,1988/12/27,152,B
+07DA001,1,1988/12/28,147,B
+07DA001,1,1988/12/29,138,B
+07DA001,1,1988/12/30,132,B
+07DA001,1,1988/12/31,128,B
+07DA001,1,1989/01/01,137,B
+07DA001,1,1989/01/02,141,B
+07DA001,1,1989/01/03,141,B
+07DA001,1,1989/01/04,139,B
+07DA001,1,1989/01/05,135,B
+07DA001,1,1989/01/06,135,B
+07DA001,1,1989/01/07,133,B
+07DA001,1,1989/01/08,131,B
+07DA001,1,1989/01/09,130,B
+07DA001,1,1989/01/10,129,B
+07DA001,1,1989/01/11,130,B
+07DA001,1,1989/01/12,130,B
+07DA001,1,1989/01/13,132,B
+07DA001,1,1989/01/14,135,B
+07DA001,1,1989/01/15,136,B
+07DA001,1,1989/01/16,135,B
+07DA001,1,1989/01/17,134,B
+07DA001,1,1989/01/18,136,B
+07DA001,1,1989/01/19,137,B
+07DA001,1,1989/01/20,138,B
+07DA001,1,1989/01/21,137,B
+07DA001,1,1989/01/22,136,B
+07DA001,1,1989/01/23,136,B
+07DA001,1,1989/01/24,137,B
+07DA001,1,1989/01/25,137,B
+07DA001,1,1989/01/26,140,B
+07DA001,1,1989/01/27,140,B
+07DA001,1,1989/01/28,140,B
+07DA001,1,1989/01/29,140,B
+07DA001,1,1989/01/30,140,B
+07DA001,1,1989/01/31,140,B
+07DA001,1,1989/02/01,141,B
+07DA001,1,1989/02/02,140,B
+07DA001,1,1989/02/03,136,B
+07DA001,1,1989/02/04,132,B
+07DA001,1,1989/02/05,130,B
+07DA001,1,1989/02/06,129,B
+07DA001,1,1989/02/07,128,B
+07DA001,1,1989/02/08,128,B
+07DA001,1,1989/02/09,128,B
+07DA001,1,1989/02/10,128,B
+07DA001,1,1989/02/11,128,B
+07DA001,1,1989/02/12,128,B
+07DA001,1,1989/02/13,128,B
+07DA001,1,1989/02/14,128,B
+07DA001,1,1989/02/15,128,B
+07DA001,1,1989/02/16,128,B
+07DA001,1,1989/02/17,128,B
+07DA001,1,1989/02/18,128,B
+07DA001,1,1989/02/19,128,B
+07DA001,1,1989/02/20,128,B
+07DA001,1,1989/02/21,129,B
+07DA001,1,1989/02/22,129,B
+07DA001,1,1989/02/23,129,B
+07DA001,1,1989/02/24,129,B
+07DA001,1,1989/02/25,129,B
+07DA001,1,1989/02/26,130,B
+07DA001,1,1989/02/27,130,B
+07DA001,1,1989/02/28,131,B
+07DA001,1,1989/03/01,132,B
+07DA001,1,1989/03/02,133,B
+07DA001,1,1989/03/03,134,B
+07DA001,1,1989/03/04,135,B
+07DA001,1,1989/03/05,136,B
+07DA001,1,1989/03/06,137,B
+07DA001,1,1989/03/07,137,B
+07DA001,1,1989/03/08,138,B
+07DA001,1,1989/03/09,138,B
+07DA001,1,1989/03/10,139,B
+07DA001,1,1989/03/11,139,B
+07DA001,1,1989/03/12,140,B
+07DA001,1,1989/03/13,140,B
+07DA001,1,1989/03/14,139,B
+07DA001,1,1989/03/15,138,B
+07DA001,1,1989/03/16,137,B
+07DA001,1,1989/03/17,135,B
+07DA001,1,1989/03/18,135,B
+07DA001,1,1989/03/19,134,B
+07DA001,1,1989/03/20,133,B
+07DA001,1,1989/03/21,133,B
+07DA001,1,1989/03/22,133,B
+07DA001,1,1989/03/23,133,B
+07DA001,1,1989/03/24,132,B
+07DA001,1,1989/03/25,132,B
+07DA001,1,1989/03/26,132,B
+07DA001,1,1989/03/27,132,B
+07DA001,1,1989/03/28,131,B
+07DA001,1,1989/03/29,131,B
+07DA001,1,1989/03/30,131,B
+07DA001,1,1989/03/31,131,B
+07DA001,1,1989/04/01,131,B
+07DA001,1,1989/04/02,131,B
+07DA001,1,1989/04/03,132,B
+07DA001,1,1989/04/04,132,B
+07DA001,1,1989/04/05,133,B
+07DA001,1,1989/04/06,134,B
+07DA001,1,1989/04/07,135,B
+07DA001,1,1989/04/08,136,B
+07DA001,1,1989/04/09,138,B
+07DA001,1,1989/04/10,142,B
+07DA001,1,1989/04/11,147,B
+07DA001,1,1989/04/12,147,B
+07DA001,1,1989/04/13,155,B
+07DA001,1,1989/04/14,160,B
+07DA001,1,1989/04/15,171,B
+07DA001,1,1989/04/16,174,B
+07DA001,1,1989/04/17,200,B
+07DA001,1,1989/04/18,238,B
+07DA001,1,1989/04/19,252,B
+07DA001,1,1989/04/20,259,B
+07DA001,1,1989/04/21,271,B
+07DA001,1,1989/04/22,282,B
+07DA001,1,1989/04/23,300,B
+07DA001,1,1989/04/24,315,B
+07DA001,1,1989/04/25,330,E
+07DA001,1,1989/04/26,350,E
+07DA001,1,1989/04/27,370,E
+07DA001,1,1989/04/28,395,E
+07DA001,1,1989/04/29,425,E
+07DA001,1,1989/04/30,450,E
+07DA001,1,1989/05/01,475,E
+07DA001,1,1989/05/02,500,E
+07DA001,1,1989/05/03,530,E
+07DA001,1,1989/05/04,570,E
+07DA001,1,1989/05/05,600,E
+07DA001,1,1989/05/06,640,E
+07DA001,1,1989/05/07,711,A
+07DA001,1,1989/05/08,773,
+07DA001,1,1989/05/09,772,
+07DA001,1,1989/05/10,754,
+07DA001,1,1989/05/11,736,
+07DA001,1,1989/05/12,740,
+07DA001,1,1989/05/13,772,
+07DA001,1,1989/05/14,798,
+07DA001,1,1989/05/15,813,
+07DA001,1,1989/05/16,822,
+07DA001,1,1989/05/17,839,
+07DA001,1,1989/05/18,833,
+07DA001,1,1989/05/19,820,
+07DA001,1,1989/05/20,856,
+07DA001,1,1989/05/21,952,
+07DA001,1,1989/05/22,1050,
+07DA001,1,1989/05/23,1180,
+07DA001,1,1989/05/24,1490,
+07DA001,1,1989/05/25,1540,
+07DA001,1,1989/05/26,1450,
+07DA001,1,1989/05/27,1380,
+07DA001,1,1989/05/28,1300,
+07DA001,1,1989/05/29,1230,
+07DA001,1,1989/05/30,1160,
+07DA001,1,1989/05/31,1100,
+07DA001,1,1989/06/01,1050,
+07DA001,1,1989/06/02,1010,
+07DA001,1,1989/06/03,965,
+07DA001,1,1989/06/04,924,
+07DA001,1,1989/06/05,890,
+07DA001,1,1989/06/06,913,
+07DA001,1,1989/06/07,1010,
+07DA001,1,1989/06/08,1130,
+07DA001,1,1989/06/09,1150,
+07DA001,1,1989/06/10,1190,
+07DA001,1,1989/06/11,1280,
+07DA001,1,1989/06/12,1310,
+07DA001,1,1989/06/13,1290,
+07DA001,1,1989/06/14,1340,
+07DA001,1,1989/06/15,1370,
+07DA001,1,1989/06/16,1370,
+07DA001,1,1989/06/17,1360,
+07DA001,1,1989/06/18,1370,
+07DA001,1,1989/06/19,1410,
+07DA001,1,1989/06/20,1470,
+07DA001,1,1989/06/21,1480,
+07DA001,1,1989/06/22,1420,
+07DA001,1,1989/06/23,1320,
+07DA001,1,1989/06/24,1230,
+07DA001,1,1989/06/25,1160,
+07DA001,1,1989/06/26,1100,
+07DA001,1,1989/06/27,1040,
+07DA001,1,1989/06/28,998,
+07DA001,1,1989/06/29,994,
+07DA001,1,1989/06/30,1020,
+07DA001,1,1989/07/01,1130,
+07DA001,1,1989/07/02,1580,
+07DA001,1,1989/07/03,1780,
+07DA001,1,1989/07/04,1760,
+07DA001,1,1989/07/05,1720,
+07DA001,1,1989/07/06,1810,
+07DA001,1,1989/07/07,1830,
+07DA001,1,1989/07/08,1670,
+07DA001,1,1989/07/09,1550,
+07DA001,1,1989/07/10,1490,
+07DA001,1,1989/07/11,1450,
+07DA001,1,1989/07/12,1600,
+07DA001,1,1989/07/13,2190,
+07DA001,1,1989/07/14,2260,
+07DA001,1,1989/07/15,2200,
+07DA001,1,1989/07/16,2070,
+07DA001,1,1989/07/17,1900,
+07DA001,1,1989/07/18,1770,
+07DA001,1,1989/07/19,1710,
+07DA001,1,1989/07/20,1690,
+07DA001,1,1989/07/21,1650,
+07DA001,1,1989/07/22,1560,
+07DA001,1,1989/07/23,1450,
+07DA001,1,1989/07/24,1380,
+07DA001,1,1989/07/25,1380,
+07DA001,1,1989/07/26,1390,
+07DA001,1,1989/07/27,1380,
+07DA001,1,1989/07/28,1320,
+07DA001,1,1989/07/29,1270,
+07DA001,1,1989/07/30,1210,
+07DA001,1,1989/07/31,1180,
+07DA001,1,1989/08/01,1130,
+07DA001,1,1989/08/02,1120,
+07DA001,1,1989/08/03,1160,
+07DA001,1,1989/08/04,1180,
+07DA001,1,1989/08/05,1220,
+07DA001,1,1989/08/06,1630,
+07DA001,1,1989/08/07,2440,
+07DA001,1,1989/08/08,2720,
+07DA001,1,1989/08/09,2550,
+07DA001,1,1989/08/10,2280,
+07DA001,1,1989/08/11,2060,
+07DA001,1,1989/08/12,1890,
+07DA001,1,1989/08/13,1750,
+07DA001,1,1989/08/14,1630,
+07DA001,1,1989/08/15,1530,
+07DA001,1,1989/08/16,1420,
+07DA001,1,1989/08/17,1330,
+07DA001,1,1989/08/18,1260,
+07DA001,1,1989/08/19,1200,
+07DA001,1,1989/08/20,1200,
+07DA001,1,1989/08/21,2040,
+07DA001,1,1989/08/22,2600,
+07DA001,1,1989/08/23,2430,
+07DA001,1,1989/08/24,2220,
+07DA001,1,1989/08/25,2020,
+07DA001,1,1989/08/26,1940,
+07DA001,1,1989/08/27,1860,
+07DA001,1,1989/08/28,1730,
+07DA001,1,1989/08/29,1600,
+07DA001,1,1989/08/30,1500,
+07DA001,1,1989/08/31,1420,
+07DA001,1,1989/09/01,1360,
+07DA001,1,1989/09/02,1310,
+07DA001,1,1989/09/03,1270,
+07DA001,1,1989/09/04,1220,
+07DA001,1,1989/09/05,1190,
+07DA001,1,1989/09/06,1160,
+07DA001,1,1989/09/07,1120,
+07DA001,1,1989/09/08,1100,
+07DA001,1,1989/09/09,1080,
+07DA001,1,1989/09/10,1060,
+07DA001,1,1989/09/11,1030,
+07DA001,1,1989/09/12,1020,
+07DA001,1,1989/09/13,996,
+07DA001,1,1989/09/14,990,
+07DA001,1,1989/09/15,969,
+07DA001,1,1989/09/16,942,
+07DA001,1,1989/09/17,905,
+07DA001,1,1989/09/18,879,
+07DA001,1,1989/09/19,847,
+07DA001,1,1989/09/20,839,
+07DA001,1,1989/09/21,828,
+07DA001,1,1989/09/22,819,
+07DA001,1,1989/09/23,843,
+07DA001,1,1989/09/24,848,
+07DA001,1,1989/09/25,823,
+07DA001,1,1989/09/26,797,
+07DA001,1,1989/09/27,780,
+07DA001,1,1989/09/28,769,
+07DA001,1,1989/09/29,762,
+07DA001,1,1989/09/30,780,
+07DA001,1,1989/10/01,778,
+07DA001,1,1989/10/02,777,
+07DA001,1,1989/10/03,760,
+07DA001,1,1989/10/04,749,
+07DA001,1,1989/10/05,734,
+07DA001,1,1989/10/06,708,
+07DA001,1,1989/10/07,698,
+07DA001,1,1989/10/08,691,
+07DA001,1,1989/10/09,672,
+07DA001,1,1989/10/10,651,
+07DA001,1,1989/10/11,634,
+07DA001,1,1989/10/12,624,
+07DA001,1,1989/10/13,618,
+07DA001,1,1989/10/14,612,
+07DA001,1,1989/10/15,609,
+07DA001,1,1989/10/16,602,
+07DA001,1,1989/10/17,579,
+07DA001,1,1989/10/18,587,
+07DA001,1,1989/10/19,596,
+07DA001,1,1989/10/20,591,
+07DA001,1,1989/10/21,579,
+07DA001,1,1989/10/22,566,
+07DA001,1,1989/10/23,562,
+07DA001,1,1989/10/24,560,
+07DA001,1,1989/10/25,554,
+07DA001,1,1989/10/26,555,
+07DA001,1,1989/10/27,563,
+07DA001,1,1989/10/28,557,
+07DA001,1,1989/10/29,549,
+07DA001,1,1989/10/30,547,
+07DA001,1,1989/10/31,534,
+07DA001,1,1989/11/01,518,B
+07DA001,1,1989/11/02,485,B
+07DA001,1,1989/11/03,482,B
+07DA001,1,1989/11/04,497,B
+07DA001,1,1989/11/05,483,B
+07DA001,1,1989/11/06,467,B
+07DA001,1,1989/11/07,473,B
+07DA001,1,1989/11/08,465,B
+07DA001,1,1989/11/09,448,B
+07DA001,1,1989/11/10,440,B
+07DA001,1,1989/11/11,435,B
+07DA001,1,1989/11/12,425,B
+07DA001,1,1989/11/13,415,B
+07DA001,1,1989/11/14,405,B
+07DA001,1,1989/11/15,397,B
+07DA001,1,1989/11/16,372,B
+07DA001,1,1989/11/17,358,B
+07DA001,1,1989/11/18,314,B
+07DA001,1,1989/11/19,337,B
+07DA001,1,1989/11/20,324,B
+07DA001,1,1989/11/21,310,B
+07DA001,1,1989/11/22,300,B
+07DA001,1,1989/11/23,295,B
+07DA001,1,1989/11/24,290,B
+07DA001,1,1989/11/25,288,B
+07DA001,1,1989/11/26,290,B
+07DA001,1,1989/11/27,295,B
+07DA001,1,1989/11/28,297,B
+07DA001,1,1989/11/29,300,B
+07DA001,1,1989/11/30,300,B
+07DA001,1,1989/12/01,295,B
+07DA001,1,1989/12/02,280,B
+07DA001,1,1989/12/03,270,B
+07DA001,1,1989/12/04,252,B
+07DA001,1,1989/12/05,239,B
+07DA001,1,1989/12/06,228,B
+07DA001,1,1989/12/07,233,B
+07DA001,1,1989/12/08,240,B
+07DA001,1,1989/12/09,243,B
+07DA001,1,1989/12/10,230,B
+07DA001,1,1989/12/11,234,B
+07DA001,1,1989/12/12,244,B
+07DA001,1,1989/12/13,246,B
+07DA001,1,1989/12/14,254,B
+07DA001,1,1989/12/15,269,B
+07DA001,1,1989/12/16,245,B
+07DA001,1,1989/12/17,232,B
+07DA001,1,1989/12/18,224,B
+07DA001,1,1989/12/19,208,B
+07DA001,1,1989/12/20,199,B
+07DA001,1,1989/12/21,200,B
+07DA001,1,1989/12/22,198,B
+07DA001,1,1989/12/23,194,B
+07DA001,1,1989/12/24,193,B
+07DA001,1,1989/12/25,192,B
+07DA001,1,1989/12/26,196,B
+07DA001,1,1989/12/27,209,B
+07DA001,1,1989/12/28,212,B
+07DA001,1,1989/12/29,205,B
+07DA001,1,1989/12/30,201,B
+07DA001,1,1989/12/31,197,B
+07DA001,1,1990/01/01,196,B
+07DA001,1,1990/01/02,194,B
+07DA001,1,1990/01/03,194,B
+07DA001,1,1990/01/04,205,B
+07DA001,1,1990/01/05,235,B
+07DA001,1,1990/01/06,265,B
+07DA001,1,1990/01/07,279,B
+07DA001,1,1990/01/08,277,B
+07DA001,1,1990/01/09,264,B
+07DA001,1,1990/01/10,247,B
+07DA001,1,1990/01/11,230,B
+07DA001,1,1990/01/12,226,B
+07DA001,1,1990/01/13,221,B
+07DA001,1,1990/01/14,216,B
+07DA001,1,1990/01/15,216,B
+07DA001,1,1990/01/16,214,B
+07DA001,1,1990/01/17,215,B
+07DA001,1,1990/01/18,216,B
+07DA001,1,1990/01/19,217,B
+07DA001,1,1990/01/20,217,B
+07DA001,1,1990/01/21,219,B
+07DA001,1,1990/01/22,220,B
+07DA001,1,1990/01/23,217,B
+07DA001,1,1990/01/24,209,B
+07DA001,1,1990/01/25,205,B
+07DA001,1,1990/01/26,207,B
+07DA001,1,1990/01/27,210,B
+07DA001,1,1990/01/28,209,B
+07DA001,1,1990/01/29,203,B
+07DA001,1,1990/01/30,198,B
+07DA001,1,1990/01/31,191,B
+07DA001,1,1990/02/01,186,B
+07DA001,1,1990/02/02,181,B
+07DA001,1,1990/02/03,179,B
+07DA001,1,1990/02/04,181,B
+07DA001,1,1990/02/05,182,B
+07DA001,1,1990/02/06,181,B
+07DA001,1,1990/02/07,179,B
+07DA001,1,1990/02/08,177,B
+07DA001,1,1990/02/09,172,B
+07DA001,1,1990/02/10,172,B
+07DA001,1,1990/02/11,168,B
+07DA001,1,1990/02/12,164,B
+07DA001,1,1990/02/13,162,B
+07DA001,1,1990/02/14,161,B
+07DA001,1,1990/02/15,163,B
+07DA001,1,1990/02/16,165,B
+07DA001,1,1990/02/17,167,B
+07DA001,1,1990/02/18,172,B
+07DA001,1,1990/02/19,175,B
+07DA001,1,1990/02/20,177,B
+07DA001,1,1990/02/21,178,B
+07DA001,1,1990/02/22,178,B
+07DA001,1,1990/02/23,178,B
+07DA001,1,1990/02/24,178,B
+07DA001,1,1990/02/25,177,B
+07DA001,1,1990/02/26,177,B
+07DA001,1,1990/02/27,175,B
+07DA001,1,1990/02/28,175,B
+07DA001,1,1990/03/01,175,B
+07DA001,1,1990/03/02,176,B
+07DA001,1,1990/03/03,180,B
+07DA001,1,1990/03/04,185,B
+07DA001,1,1990/03/05,187,B
+07DA001,1,1990/03/06,188,B
+07DA001,1,1990/03/07,190,B
+07DA001,1,1990/03/08,192,B
+07DA001,1,1990/03/09,193,B
+07DA001,1,1990/03/10,194,B
+07DA001,1,1990/03/11,194,B
+07DA001,1,1990/03/12,194,B
+07DA001,1,1990/03/13,194,B
+07DA001,1,1990/03/14,198,B
+07DA001,1,1990/03/15,203,B
+07DA001,1,1990/03/16,207,B
+07DA001,1,1990/03/17,210,B
+07DA001,1,1990/03/18,216,B
+07DA001,1,1990/03/19,221,B
+07DA001,1,1990/03/20,225,B
+07DA001,1,1990/03/21,225,B
+07DA001,1,1990/03/22,221,B
+07DA001,1,1990/03/23,220,B
+07DA001,1,1990/03/24,221,B
+07DA001,1,1990/03/25,221,B
+07DA001,1,1990/03/26,224,B
+07DA001,1,1990/03/27,237,B
+07DA001,1,1990/03/28,246,B
+07DA001,1,1990/03/29,262,B
+07DA001,1,1990/03/30,276,B
+07DA001,1,1990/03/31,284,B
+07DA001,1,1990/04/01,285,B
+07DA001,1,1990/04/02,293,B
+07DA001,1,1990/04/03,309,B
+07DA001,1,1990/04/04,330,B
+07DA001,1,1990/04/05,349,B
+07DA001,1,1990/04/06,376,B
+07DA001,1,1990/04/07,400,B
+07DA001,1,1990/04/08,413,B
+07DA001,1,1990/04/09,419,B
+07DA001,1,1990/04/10,425,B
+07DA001,1,1990/04/11,442,B
+07DA001,1,1990/04/12,457,B
+07DA001,1,1990/04/13,467,B
+07DA001,1,1990/04/14,487,B
+07DA001,1,1990/04/15,505,B
+07DA001,1,1990/04/16,502,B
+07DA001,1,1990/04/17,493,B
+07DA001,1,1990/04/18,494,B
+07DA001,1,1990/04/19,500,B
+07DA001,1,1990/04/20,530,B
+07DA001,1,1990/04/21,700,B
+07DA001,1,1990/04/22,839,B
+07DA001,1,1990/04/23,839,B
+07DA001,1,1990/04/24,936,B
+07DA001,1,1990/04/25,1210,B
+07DA001,1,1990/04/26,1310,B
+07DA001,1,1990/04/27,1340,
+07DA001,1,1990/04/28,1480,
+07DA001,1,1990/04/29,1450,
+07DA001,1,1990/04/30,1390,
+07DA001,1,1990/05/01,1410,
+07DA001,1,1990/05/02,1390,
+07DA001,1,1990/05/03,1360,
+07DA001,1,1990/05/04,1330,
+07DA001,1,1990/05/05,1290,
+07DA001,1,1990/05/06,1260,
+07DA001,1,1990/05/07,1290,
+07DA001,1,1990/05/08,1360,
+07DA001,1,1990/05/09,1390,
+07DA001,1,1990/05/10,1390,
+07DA001,1,1990/05/11,1360,
+07DA001,1,1990/05/12,1350,
+07DA001,1,1990/05/13,1370,
+07DA001,1,1990/05/14,1330,
+07DA001,1,1990/05/15,1280,
+07DA001,1,1990/05/16,1230,
+07DA001,1,1990/05/17,1200,
+07DA001,1,1990/05/18,1160,
+07DA001,1,1990/05/19,1130,
+07DA001,1,1990/05/20,1110,
+07DA001,1,1990/05/21,1100,
+07DA001,1,1990/05/22,1090,
+07DA001,1,1990/05/23,1070,
+07DA001,1,1990/05/24,1080,
+07DA001,1,1990/05/25,1090,
+07DA001,1,1990/05/26,1110,
+07DA001,1,1990/05/27,1180,
+07DA001,1,1990/05/28,1210,
+07DA001,1,1990/05/29,1190,
+07DA001,1,1990/05/30,1310,
+07DA001,1,1990/05/31,1480,
+07DA001,1,1990/06/01,1540,
+07DA001,1,1990/06/02,1550,
+07DA001,1,1990/06/03,1590,
+07DA001,1,1990/06/04,2000,
+07DA001,1,1990/06/05,2120,
+07DA001,1,1990/06/06,2050,
+07DA001,1,1990/06/07,1960,
+07DA001,1,1990/06/08,1920,
+07DA001,1,1990/06/09,1940,
+07DA001,1,1990/06/10,1850,
+07DA001,1,1990/06/11,1800,
+07DA001,1,1990/06/12,1880,
+07DA001,1,1990/06/13,1930,
+07DA001,1,1990/06/14,1940,
+07DA001,1,1990/06/15,2120,
+07DA001,1,1990/06/16,2840,
+07DA001,1,1990/06/17,3250,
+07DA001,1,1990/06/18,3140,
+07DA001,1,1990/06/19,2790,
+07DA001,1,1990/06/20,2540,
+07DA001,1,1990/06/21,2370,
+07DA001,1,1990/06/22,2210,
+07DA001,1,1990/06/23,2050,
+07DA001,1,1990/06/24,1910,
+07DA001,1,1990/06/25,1780,
+07DA001,1,1990/06/26,1680,
+07DA001,1,1990/06/27,1640,
+07DA001,1,1990/06/28,1680,
+07DA001,1,1990/06/29,1720,
+07DA001,1,1990/06/30,1660,
+07DA001,1,1990/07/01,1580,
+07DA001,1,1990/07/02,1490,
+07DA001,1,1990/07/03,1420,
+07DA001,1,1990/07/04,1380,
+07DA001,1,1990/07/05,1350,
+07DA001,1,1990/07/06,1470,
+07DA001,1,1990/07/07,2030,
+07DA001,1,1990/07/08,2380,
+07DA001,1,1990/07/09,2370,
+07DA001,1,1990/07/10,2580,
+07DA001,1,1990/07/11,3020,
+07DA001,1,1990/07/12,2820,
+07DA001,1,1990/07/13,2470,
+07DA001,1,1990/07/14,2160,
+07DA001,1,1990/07/15,1920,
+07DA001,1,1990/07/16,1760,
+07DA001,1,1990/07/17,1670,
+07DA001,1,1990/07/18,1630,
+07DA001,1,1990/07/19,1560,
+07DA001,1,1990/07/20,1440,
+07DA001,1,1990/07/21,1350,
+07DA001,1,1990/07/22,1300,
+07DA001,1,1990/07/23,1230,
+07DA001,1,1990/07/24,1160,
+07DA001,1,1990/07/25,1090,
+07DA001,1,1990/07/26,1020,
+07DA001,1,1990/07/27,977,
+07DA001,1,1990/07/28,940,
+07DA001,1,1990/07/29,940,
+07DA001,1,1990/07/30,969,
+07DA001,1,1990/07/31,961,
+07DA001,1,1990/08/01,953,
+07DA001,1,1990/08/02,960,
+07DA001,1,1990/08/03,938,
+07DA001,1,1990/08/04,910,
+07DA001,1,1990/08/05,887,
+07DA001,1,1990/08/06,893,
+07DA001,1,1990/08/07,877,
+07DA001,1,1990/08/08,844,
+07DA001,1,1990/08/09,799,
+07DA001,1,1990/08/10,762,
+07DA001,1,1990/08/11,748,
+07DA001,1,1990/08/12,749,
+07DA001,1,1990/08/13,771,
+07DA001,1,1990/08/14,762,
+07DA001,1,1990/08/15,742,
+07DA001,1,1990/08/16,733,
+07DA001,1,1990/08/17,731,
+07DA001,1,1990/08/18,740,
+07DA001,1,1990/08/19,746,
+07DA001,1,1990/08/20,765,
+07DA001,1,1990/08/21,787,
+07DA001,1,1990/08/22,797,
+07DA001,1,1990/08/23,792,
+07DA001,1,1990/08/24,769,
+07DA001,1,1990/08/25,750,
+07DA001,1,1990/08/26,737,
+07DA001,1,1990/08/27,724,
+07DA001,1,1990/08/28,733,
+07DA001,1,1990/08/29,765,
+07DA001,1,1990/08/30,772,
+07DA001,1,1990/08/31,744,
+07DA001,1,1990/09/01,720,
+07DA001,1,1990/09/02,705,
+07DA001,1,1990/09/03,688,
+07DA001,1,1990/09/04,675,
+07DA001,1,1990/09/05,680,
+07DA001,1,1990/09/06,747,
+07DA001,1,1990/09/07,758,
+07DA001,1,1990/09/08,711,
+07DA001,1,1990/09/09,668,
+07DA001,1,1990/09/10,639,
+07DA001,1,1990/09/11,615,
+07DA001,1,1990/09/12,602,
+07DA001,1,1990/09/13,583,
+07DA001,1,1990/09/14,570,
+07DA001,1,1990/09/15,565,
+07DA001,1,1990/09/16,563,
+07DA001,1,1990/09/17,562,
+07DA001,1,1990/09/18,556,
+07DA001,1,1990/09/19,554,
+07DA001,1,1990/09/20,548,
+07DA001,1,1990/09/21,544,
+07DA001,1,1990/09/22,542,
+07DA001,1,1990/09/23,625,
+07DA001,1,1990/09/24,706,
+07DA001,1,1990/09/25,667,
+07DA001,1,1990/09/26,624,
+07DA001,1,1990/09/27,597,
+07DA001,1,1990/09/28,573,
+07DA001,1,1990/09/29,560,
+07DA001,1,1990/09/30,546,
+07DA001,1,1990/10/01,535,
+07DA001,1,1990/10/02,542,
+07DA001,1,1990/10/03,540,
+07DA001,1,1990/10/04,538,
+07DA001,1,1990/10/05,520,
+07DA001,1,1990/10/06,500,
+07DA001,1,1990/10/07,496,
+07DA001,1,1990/10/08,485,
+07DA001,1,1990/10/09,476,
+07DA001,1,1990/10/10,479,
+07DA001,1,1990/10/11,481,
+07DA001,1,1990/10/12,481,
+07DA001,1,1990/10/13,481,
+07DA001,1,1990/10/14,481,
+07DA001,1,1990/10/15,478,
+07DA001,1,1990/10/16,472,
+07DA001,1,1990/10/17,468,
+07DA001,1,1990/10/18,475,
+07DA001,1,1990/10/19,478,
+07DA001,1,1990/10/20,472,
+07DA001,1,1990/10/21,456,
+07DA001,1,1990/10/22,449,
+07DA001,1,1990/10/23,442,
+07DA001,1,1990/10/24,432,
+07DA001,1,1990/10/25,427,
+07DA001,1,1990/10/26,424,
+07DA001,1,1990/10/27,412,
+07DA001,1,1990/10/28,406,B
+07DA001,1,1990/10/29,402,B
+07DA001,1,1990/10/30,407,B
+07DA001,1,1990/10/31,423,B
+07DA001,1,1990/11/01,409,B
+07DA001,1,1990/11/02,394,B
+07DA001,1,1990/11/03,415,B
+07DA001,1,1990/11/04,434,B
+07DA001,1,1990/11/05,420,B
+07DA001,1,1990/11/06,405,B
+07DA001,1,1990/11/07,350,B
+07DA001,1,1990/11/08,305,B
+07DA001,1,1990/11/09,280,B
+07DA001,1,1990/11/10,241,B
+07DA001,1,1990/11/11,230,B
+07DA001,1,1990/11/12,220,B
+07DA001,1,1990/11/13,215,B
+07DA001,1,1990/11/14,225,B
+07DA001,1,1990/11/15,230,B
+07DA001,1,1990/11/16,225,B
+07DA001,1,1990/11/17,220,B
+07DA001,1,1990/11/18,210,B
+07DA001,1,1990/11/19,220,B
+07DA001,1,1990/11/20,230,B
+07DA001,1,1990/11/21,240,B
+07DA001,1,1990/11/22,253,B
+07DA001,1,1990/11/23,253,B
+07DA001,1,1990/11/24,245,B
+07DA001,1,1990/11/25,266,B
+07DA001,1,1990/11/26,312,B
+07DA001,1,1990/11/27,291,B
+07DA001,1,1990/11/28,271,B
+07DA001,1,1990/11/29,265,B
+07DA001,1,1990/11/30,250,B
+07DA001,1,1990/12/01,227,B
+07DA001,1,1990/12/02,210,B
+07DA001,1,1990/12/03,202,B
+07DA001,1,1990/12/04,197,B
+07DA001,1,1990/12/05,192,B
+07DA001,1,1990/12/06,181,B
+07DA001,1,1990/12/07,174,B
+07DA001,1,1990/12/08,175,B
+07DA001,1,1990/12/09,179,B
+07DA001,1,1990/12/10,184,B
+07DA001,1,1990/12/11,205,B
+07DA001,1,1990/12/12,229,B
+07DA001,1,1990/12/13,244,B
+07DA001,1,1990/12/14,255,B
+07DA001,1,1990/12/15,266,B
+07DA001,1,1990/12/16,268,B
+07DA001,1,1990/12/17,264,B
+07DA001,1,1990/12/18,259,B
+07DA001,1,1990/12/19,248,B
+07DA001,1,1990/12/20,241,B
+07DA001,1,1990/12/21,218,B
+07DA001,1,1990/12/22,206,B
+07DA001,1,1990/12/23,193,B
+07DA001,1,1990/12/24,183,B
+07DA001,1,1990/12/25,176,B
+07DA001,1,1990/12/26,168,B
+07DA001,1,1990/12/27,163,B
+07DA001,1,1990/12/28,160,B
+07DA001,1,1990/12/29,162,B
+07DA001,1,1990/12/30,160,B
+07DA001,1,1990/12/31,155,B
+07DA001,1,1991/01/01,152,B
+07DA001,1,1991/01/02,148,B
+07DA001,1,1991/01/03,147,B
+07DA001,1,1991/01/04,147,B
+07DA001,1,1991/01/05,147,B
+07DA001,1,1991/01/06,149,B
+07DA001,1,1991/01/07,151,B
+07DA001,1,1991/01/08,152,B
+07DA001,1,1991/01/09,152,B
+07DA001,1,1991/01/10,151,B
+07DA001,1,1991/01/11,149,B
+07DA001,1,1991/01/12,148,B
+07DA001,1,1991/01/13,148,B
+07DA001,1,1991/01/14,148,B
+07DA001,1,1991/01/15,149,B
+07DA001,1,1991/01/16,148,B
+07DA001,1,1991/01/17,149,B
+07DA001,1,1991/01/18,150,B
+07DA001,1,1991/01/19,151,B
+07DA001,1,1991/01/20,150,B
+07DA001,1,1991/01/21,151,B
+07DA001,1,1991/01/22,152,B
+07DA001,1,1991/01/23,153,B
+07DA001,1,1991/01/24,154,B
+07DA001,1,1991/01/25,156,B
+07DA001,1,1991/01/26,152,B
+07DA001,1,1991/01/27,151,B
+07DA001,1,1991/01/28,150,B
+07DA001,1,1991/01/29,149,B
+07DA001,1,1991/01/30,147,B
+07DA001,1,1991/01/31,146,B
+07DA001,1,1991/02/01,148,B
+07DA001,1,1991/02/02,149,B
+07DA001,1,1991/02/03,151,B
+07DA001,1,1991/02/04,152,B
+07DA001,1,1991/02/05,151,B
+07DA001,1,1991/02/06,152,B
+07DA001,1,1991/02/07,152,B
+07DA001,1,1991/02/08,152,B
+07DA001,1,1991/02/09,152,B
+07DA001,1,1991/02/10,151,B
+07DA001,1,1991/02/11,151,B
+07DA001,1,1991/02/12,151,B
+07DA001,1,1991/02/13,155,B
+07DA001,1,1991/02/14,158,B
+07DA001,1,1991/02/15,160,B
+07DA001,1,1991/02/16,159,B
+07DA001,1,1991/02/17,159,B
+07DA001,1,1991/02/18,162,B
+07DA001,1,1991/02/19,162,B
+07DA001,1,1991/02/20,161,B
+07DA001,1,1991/02/21,160,B
+07DA001,1,1991/02/22,160,B
+07DA001,1,1991/02/23,159,B
+07DA001,1,1991/02/24,158,B
+07DA001,1,1991/02/25,158,B
+07DA001,1,1991/02/26,159,B
+07DA001,1,1991/02/27,162,B
+07DA001,1,1991/02/28,162,B
+07DA001,1,1991/03/01,158,B
+07DA001,1,1991/03/02,156,B
+07DA001,1,1991/03/03,155,B
+07DA001,1,1991/03/04,155,B
+07DA001,1,1991/03/05,154,B
+07DA001,1,1991/03/06,152,B
+07DA001,1,1991/03/07,150,B
+07DA001,1,1991/03/08,149,B
+07DA001,1,1991/03/09,150,B
+07DA001,1,1991/03/10,152,B
+07DA001,1,1991/03/11,149,B
+07DA001,1,1991/03/12,145,B
+07DA001,1,1991/03/13,140,B
+07DA001,1,1991/03/14,138,B
+07DA001,1,1991/03/15,136,B
+07DA001,1,1991/03/16,136,B
+07DA001,1,1991/03/17,139,B
+07DA001,1,1991/03/18,141,B
+07DA001,1,1991/03/19,144,B
+07DA001,1,1991/03/20,146,B
+07DA001,1,1991/03/21,147,B
+07DA001,1,1991/03/22,149,B
+07DA001,1,1991/03/23,153,B
+07DA001,1,1991/03/24,153,B
+07DA001,1,1991/03/25,153,B
+07DA001,1,1991/03/26,153,B
+07DA001,1,1991/03/27,154,B
+07DA001,1,1991/03/28,155,B
+07DA001,1,1991/03/29,157,B
+07DA001,1,1991/03/30,159,B
+07DA001,1,1991/03/31,162,B
+07DA001,1,1991/04/01,168,B
+07DA001,1,1991/04/02,174,B
+07DA001,1,1991/04/03,178,B
+07DA001,1,1991/04/04,183,B
+07DA001,1,1991/04/05,189,B
+07DA001,1,1991/04/06,196,B
+07DA001,1,1991/04/07,203,B
+07DA001,1,1991/04/08,210,B
+07DA001,1,1991/04/09,226,B
+07DA001,1,1991/04/10,249,B
+07DA001,1,1991/04/11,252,B
+07DA001,1,1991/04/12,253,B
+07DA001,1,1991/04/13,260,B
+07DA001,1,1991/04/14,280,B
+07DA001,1,1991/04/15,310,B
+07DA001,1,1991/04/16,350,B
+07DA001,1,1991/04/17,400,B
+07DA001,1,1991/04/18,482,B
+07DA001,1,1991/04/19,650,B
+07DA001,1,1991/04/20,813,
+07DA001,1,1991/04/21,842,
+07DA001,1,1991/04/22,795,
+07DA001,1,1991/04/23,803,
+07DA001,1,1991/04/24,798,
+07DA001,1,1991/04/25,775,
+07DA001,1,1991/04/26,808,
+07DA001,1,1991/04/27,822,
+07DA001,1,1991/04/28,827,
+07DA001,1,1991/04/29,900,
+07DA001,1,1991/04/30,1080,
+07DA001,1,1991/05/01,1200,
+07DA001,1,1991/05/02,1240,
+07DA001,1,1991/05/03,1200,
+07DA001,1,1991/05/04,1130,
+07DA001,1,1991/05/05,1060,
+07DA001,1,1991/05/06,1000,
+07DA001,1,1991/05/07,937,
+07DA001,1,1991/05/08,885,
+07DA001,1,1991/05/09,844,
+07DA001,1,1991/05/10,816,
+07DA001,1,1991/05/11,809,
+07DA001,1,1991/05/12,799,
+07DA001,1,1991/05/13,819,
+07DA001,1,1991/05/14,1180,
+07DA001,1,1991/05/15,1400,
+07DA001,1,1991/05/16,1350,
+07DA001,1,1991/05/17,1760,
+07DA001,1,1991/05/18,2110,
+07DA001,1,1991/05/19,1950,
+07DA001,1,1991/05/20,1730,
+07DA001,1,1991/05/21,1560,
+07DA001,1,1991/05/22,1420,
+07DA001,1,1991/05/23,1350,
+07DA001,1,1991/05/24,1400,
+07DA001,1,1991/05/25,1550,
+07DA001,1,1991/05/26,1690,
+07DA001,1,1991/05/27,1650,
+07DA001,1,1991/05/28,1510,
+07DA001,1,1991/05/29,1400,
+07DA001,1,1991/05/30,1320,
+07DA001,1,1991/05/31,1260,
+07DA001,1,1991/06/01,1190,
+07DA001,1,1991/06/02,1140,
+07DA001,1,1991/06/03,1130,
+07DA001,1,1991/06/04,1170,
+07DA001,1,1991/06/05,1220,
+07DA001,1,1991/06/06,1260,
+07DA001,1,1991/06/07,1300,
+07DA001,1,1991/06/08,1330,
+07DA001,1,1991/06/09,1330,
+07DA001,1,1991/06/10,1260,
+07DA001,1,1991/06/11,1210,
+07DA001,1,1991/06/12,1300,
+07DA001,1,1991/06/13,1600,
+07DA001,1,1991/06/14,1880,
+07DA001,1,1991/06/15,1970,
+07DA001,1,1991/06/16,2150,
+07DA001,1,1991/06/17,2250,
+07DA001,1,1991/06/18,2140,
+07DA001,1,1991/06/19,1990,
+07DA001,1,1991/06/20,1860,
+07DA001,1,1991/06/21,1740,
+07DA001,1,1991/06/22,1680,
+07DA001,1,1991/06/23,1730,
+07DA001,1,1991/06/24,1770,
+07DA001,1,1991/06/25,1750,
+07DA001,1,1991/06/26,1710,
+07DA001,1,1991/06/27,1660,
+07DA001,1,1991/06/28,1620,
+07DA001,1,1991/06/29,1640,
+07DA001,1,1991/06/30,1670,
+07DA001,1,1991/07/01,1680,
+07DA001,1,1991/07/02,1700,
+07DA001,1,1991/07/03,1760,
+07DA001,1,1991/07/04,1830,
+07DA001,1,1991/07/05,1890,
+07DA001,1,1991/07/06,1870,
+07DA001,1,1991/07/07,1790,
+07DA001,1,1991/07/08,1770,
+07DA001,1,1991/07/09,1800,
+07DA001,1,1991/07/10,1900,
+07DA001,1,1991/07/11,2240,
+07DA001,1,1991/07/12,2100,
+07DA001,1,1991/07/13,2050,
+07DA001,1,1991/07/14,2000,
+07DA001,1,1991/07/15,1920,
+07DA001,1,1991/07/16,1840,
+07DA001,1,1991/07/17,1790,
+07DA001,1,1991/07/18,1780,
+07DA001,1,1991/07/19,1800,
+07DA001,1,1991/07/20,1710,
+07DA001,1,1991/07/21,1560,
+07DA001,1,1991/07/22,1460,
+07DA001,1,1991/07/23,1380,
+07DA001,1,1991/07/24,1320,
+07DA001,1,1991/07/25,1240,
+07DA001,1,1991/07/26,1180,
+07DA001,1,1991/07/27,1150,
+07DA001,1,1991/07/28,1110,
+07DA001,1,1991/07/29,1090,
+07DA001,1,1991/07/30,1120,
+07DA001,1,1991/07/31,1170,
+07DA001,1,1991/08/01,1210,
+07DA001,1,1991/08/02,1210,
+07DA001,1,1991/08/03,1170,
+07DA001,1,1991/08/04,1110,
+07DA001,1,1991/08/05,1040,
+07DA001,1,1991/08/06,984,
+07DA001,1,1991/08/07,936,
+07DA001,1,1991/08/08,913,
+07DA001,1,1991/08/09,900,
+07DA001,1,1991/08/10,917,
+07DA001,1,1991/08/11,940,
+07DA001,1,1991/08/12,969,
+07DA001,1,1991/08/13,988,
+07DA001,1,1991/08/14,1010,
+07DA001,1,1991/08/15,1030,
+07DA001,1,1991/08/16,1190,
+07DA001,1,1991/08/17,1260,
+07DA001,1,1991/08/18,1440,
+07DA001,1,1991/08/19,1740,
+07DA001,1,1991/08/20,1650,
+07DA001,1,1991/08/21,1490,
+07DA001,1,1991/08/22,1360,
+07DA001,1,1991/08/23,1280,
+07DA001,1,1991/08/24,1220,
+07DA001,1,1991/08/25,1170,
+07DA001,1,1991/08/26,1110,
+07DA001,1,1991/08/27,1050,
+07DA001,1,1991/08/28,997,
+07DA001,1,1991/08/29,948,
+07DA001,1,1991/08/30,913,
+07DA001,1,1991/08/31,878,
+07DA001,1,1991/09/01,846,
+07DA001,1,1991/09/02,822,
+07DA001,1,1991/09/03,790,
+07DA001,1,1991/09/04,777,
+07DA001,1,1991/09/05,759,
+07DA001,1,1991/09/06,776,
+07DA001,1,1991/09/07,898,
+07DA001,1,1991/09/08,912,
+07DA001,1,1991/09/09,853,
+07DA001,1,1991/09/10,791,
+07DA001,1,1991/09/11,750,
+07DA001,1,1991/09/12,728,
+07DA001,1,1991/09/13,722,
+07DA001,1,1991/09/14,737,
+07DA001,1,1991/09/15,734,
+07DA001,1,1991/09/16,714,
+07DA001,1,1991/09/17,682,
+07DA001,1,1991/09/18,653,
+07DA001,1,1991/09/19,629,
+07DA001,1,1991/09/20,625,
+07DA001,1,1991/09/21,619,
+07DA001,1,1991/09/22,600,
+07DA001,1,1991/09/23,584,
+07DA001,1,1991/09/24,587,
+07DA001,1,1991/09/25,574,
+07DA001,1,1991/09/26,564,
+07DA001,1,1991/09/27,555,
+07DA001,1,1991/09/28,558,
+07DA001,1,1991/09/29,545,
+07DA001,1,1991/09/30,521,
+07DA001,1,1991/10/01,506,
+07DA001,1,1991/10/02,492,
+07DA001,1,1991/10/03,494,
+07DA001,1,1991/10/04,492,
+07DA001,1,1991/10/05,485,
+07DA001,1,1991/10/06,485,
+07DA001,1,1991/10/07,483,
+07DA001,1,1991/10/08,473,
+07DA001,1,1991/10/09,458,
+07DA001,1,1991/10/10,451,
+07DA001,1,1991/10/11,444,
+07DA001,1,1991/10/12,444,
+07DA001,1,1991/10/13,436,
+07DA001,1,1991/10/14,424,
+07DA001,1,1991/10/15,421,
+07DA001,1,1991/10/16,418,
+07DA001,1,1991/10/17,415,
+07DA001,1,1991/10/18,397,
+07DA001,1,1991/10/19,378,
+07DA001,1,1991/10/20,382,
+07DA001,1,1991/10/21,391,
+07DA001,1,1991/10/22,385,
+07DA001,1,1991/10/23,372,B
+07DA001,1,1991/10/24,362,B
+07DA001,1,1991/10/25,354,B
+07DA001,1,1991/10/26,350,B
+07DA001,1,1991/10/27,344,B
+07DA001,1,1991/10/28,332,B
+07DA001,1,1991/10/29,313,B
+07DA001,1,1991/10/30,300,B
+07DA001,1,1991/10/31,282,B
+07DA001,1,1991/11/01,251,B
+07DA001,1,1991/11/02,223,B
+07DA001,1,1991/11/03,228,B
+07DA001,1,1991/11/04,241,B
+07DA001,1,1991/11/05,255,B
+07DA001,1,1991/11/06,268,B
+07DA001,1,1991/11/07,267,B
+07DA001,1,1991/11/08,259,B
+07DA001,1,1991/11/09,252,B
+07DA001,1,1991/11/10,250,B
+07DA001,1,1991/11/11,257,B
+07DA001,1,1991/11/12,264,B
+07DA001,1,1991/11/13,262,B
+07DA001,1,1991/11/14,265,B
+07DA001,1,1991/11/15,268,B
+07DA001,1,1991/11/16,263,B
+07DA001,1,1991/11/17,258,B
+07DA001,1,1991/11/18,252,B
+07DA001,1,1991/11/19,245,B
+07DA001,1,1991/11/20,236,B
+07DA001,1,1991/11/21,228,B
+07DA001,1,1991/11/22,222,B
+07DA001,1,1991/11/23,218,B
+07DA001,1,1991/11/24,213,B
+07DA001,1,1991/11/25,214,B
+07DA001,1,1991/11/26,208,B
+07DA001,1,1991/11/27,200,B
+07DA001,1,1991/11/28,196,B
+07DA001,1,1991/11/29,192,B
+07DA001,1,1991/11/30,186,B
+07DA001,1,1991/12/01,180,B
+07DA001,1,1991/12/02,174,B
+07DA001,1,1991/12/03,168,B
+07DA001,1,1991/12/04,165,B
+07DA001,1,1991/12/05,155,B
+07DA001,1,1991/12/06,156,B
+07DA001,1,1991/12/07,158,B
+07DA001,1,1991/12/08,152,B
+07DA001,1,1991/12/09,149,B
+07DA001,1,1991/12/10,150,B
+07DA001,1,1991/12/11,145,B
+07DA001,1,1991/12/12,146,B
+07DA001,1,1991/12/13,148,B
+07DA001,1,1991/12/14,142,B
+07DA001,1,1991/12/15,138,B
+07DA001,1,1991/12/16,136,B
+07DA001,1,1991/12/17,136,B
+07DA001,1,1991/12/18,150,B
+07DA001,1,1991/12/19,177,B
+07DA001,1,1991/12/20,179,B
+07DA001,1,1991/12/21,176,B
+07DA001,1,1991/12/22,173,B
+07DA001,1,1991/12/23,170,B
+07DA001,1,1991/12/24,164,B
+07DA001,1,1991/12/25,159,B
+07DA001,1,1991/12/26,157,B
+07DA001,1,1991/12/27,158,B
+07DA001,1,1991/12/28,159,B
+07DA001,1,1991/12/29,163,B
+07DA001,1,1991/12/30,161,B
+07DA001,1,1991/12/31,157,B
+07DA001,1,1992/01/01,157,B
+07DA001,1,1992/01/02,160,B
+07DA001,1,1992/01/03,159,B
+07DA001,1,1992/01/04,159,B
+07DA001,1,1992/01/05,157,B
+07DA001,1,1992/01/06,155,B
+07DA001,1,1992/01/07,156,B
+07DA001,1,1992/01/08,155,B
+07DA001,1,1992/01/09,155,B
+07DA001,1,1992/01/10,155,B
+07DA001,1,1992/01/11,153,B
+07DA001,1,1992/01/12,152,B
+07DA001,1,1992/01/13,152,B
+07DA001,1,1992/01/14,150,B
+07DA001,1,1992/01/15,149,B
+07DA001,1,1992/01/16,148,B
+07DA001,1,1992/01/17,146,B
+07DA001,1,1992/01/18,144,B
+07DA001,1,1992/01/19,147,B
+07DA001,1,1992/01/20,147,B
+07DA001,1,1992/01/21,147,B
+07DA001,1,1992/01/22,142,B
+07DA001,1,1992/01/23,141,B
+07DA001,1,1992/01/24,140,B
+07DA001,1,1992/01/25,141,B
+07DA001,1,1992/01/26,143,B
+07DA001,1,1992/01/27,146,B
+07DA001,1,1992/01/28,150,B
+07DA001,1,1992/01/29,154,B
+07DA001,1,1992/01/30,155,B
+07DA001,1,1992/01/31,157,B
+07DA001,1,1992/02/01,158,B
+07DA001,1,1992/02/02,156,B
+07DA001,1,1992/02/03,153,B
+07DA001,1,1992/02/04,152,B
+07DA001,1,1992/02/05,152,B
+07DA001,1,1992/02/06,151,B
+07DA001,1,1992/02/07,150,B
+07DA001,1,1992/02/08,150,B
+07DA001,1,1992/02/09,149,B
+07DA001,1,1992/02/10,148,B
+07DA001,1,1992/02/11,147,B
+07DA001,1,1992/02/12,146,B
+07DA001,1,1992/02/13,145,B
+07DA001,1,1992/02/14,143,B
+07DA001,1,1992/02/15,142,B
+07DA001,1,1992/02/16,141,B
+07DA001,1,1992/02/17,140,B
+07DA001,1,1992/02/18,139,B
+07DA001,1,1992/02/19,139,B
+07DA001,1,1992/02/20,138,B
+07DA001,1,1992/02/21,137,B
+07DA001,1,1992/02/22,137,B
+07DA001,1,1992/02/23,136,B
+07DA001,1,1992/02/24,136,B
+07DA001,1,1992/02/25,135,B
+07DA001,1,1992/02/26,146,B
+07DA001,1,1992/02/27,155,B
+07DA001,1,1992/02/28,159,B
+07DA001,1,1992/02/29,163,B
+07DA001,1,1992/03/01,165,B
+07DA001,1,1992/03/02,165,B
+07DA001,1,1992/03/03,165,B
+07DA001,1,1992/03/04,164,B
+07DA001,1,1992/03/05,169,B
+07DA001,1,1992/03/06,176,B
+07DA001,1,1992/03/07,193,B
+07DA001,1,1992/03/08,214,B
+07DA001,1,1992/03/09,230,B
+07DA001,1,1992/03/10,238,B
+07DA001,1,1992/03/11,244,B
+07DA001,1,1992/03/12,252,B
+07DA001,1,1992/03/13,264,B
+07DA001,1,1992/03/14,276,B
+07DA001,1,1992/03/15,279,B
+07DA001,1,1992/03/16,276,B
+07DA001,1,1992/03/17,273,B
+07DA001,1,1992/03/18,272,B
+07DA001,1,1992/03/19,272,B
+07DA001,1,1992/03/20,272,B
+07DA001,1,1992/03/21,279,B
+07DA001,1,1992/03/22,292,B
+07DA001,1,1992/03/23,310,B
+07DA001,1,1992/03/24,333,B
+07DA001,1,1992/03/25,357,B
+07DA001,1,1992/03/26,365,B
+07DA001,1,1992/03/27,366,B
+07DA001,1,1992/03/28,371,B
+07DA001,1,1992/03/29,380,B
+07DA001,1,1992/03/30,386,B
+07DA001,1,1992/03/31,390,B
+07DA001,1,1992/04/01,399,B
+07DA001,1,1992/04/02,419,B
+07DA001,1,1992/04/03,425,B
+07DA001,1,1992/04/04,420,B
+07DA001,1,1992/04/05,410,B
+07DA001,1,1992/04/06,405,B
+07DA001,1,1992/04/07,400,B
+07DA001,1,1992/04/08,390,B
+07DA001,1,1992/04/09,371,B
+07DA001,1,1992/04/10,370,B
+07DA001,1,1992/04/11,364,B
+07DA001,1,1992/04/12,360,B
+07DA001,1,1992/04/13,362,B
+07DA001,1,1992/04/14,370,B
+07DA001,1,1992/04/15,380,B
+07DA001,1,1992/04/16,390,B
+07DA001,1,1992/04/17,400,B
+07DA001,1,1992/04/18,410,B
+07DA001,1,1992/04/19,415,B
+07DA001,1,1992/04/20,420,B
+07DA001,1,1992/04/21,560,B
+07DA001,1,1992/04/22,726,
+07DA001,1,1992/04/23,762,
+07DA001,1,1992/04/24,788,
+07DA001,1,1992/04/25,799,
+07DA001,1,1992/04/26,798,
+07DA001,1,1992/04/27,796,
+07DA001,1,1992/04/28,815,
+07DA001,1,1992/04/29,837,
+07DA001,1,1992/04/30,865,
+07DA001,1,1992/05/01,873,
+07DA001,1,1992/05/02,876,
+07DA001,1,1992/05/03,876,
+07DA001,1,1992/05/04,885,
+07DA001,1,1992/05/05,904,
+07DA001,1,1992/05/06,913,
+07DA001,1,1992/05/07,922,
+07DA001,1,1992/05/08,911,
+07DA001,1,1992/05/09,888,
+07DA001,1,1992/05/10,857,
+07DA001,1,1992/05/11,831,
+07DA001,1,1992/05/12,830,
+07DA001,1,1992/05/13,912,
+07DA001,1,1992/05/14,997,
+07DA001,1,1992/05/15,1050,
+07DA001,1,1992/05/16,1020,
+07DA001,1,1992/05/17,986,
+07DA001,1,1992/05/18,956,
+07DA001,1,1992/05/19,935,
+07DA001,1,1992/05/20,913,
+07DA001,1,1992/05/21,896,
+07DA001,1,1992/05/22,879,
+07DA001,1,1992/05/23,857,
+07DA001,1,1992/05/24,834,
+07DA001,1,1992/05/25,840,
+07DA001,1,1992/05/26,858,
+07DA001,1,1992/05/27,859,
+07DA001,1,1992/05/28,839,
+07DA001,1,1992/05/29,811,
+07DA001,1,1992/05/30,792,
+07DA001,1,1992/05/31,787,
+07DA001,1,1992/06/01,852,
+07DA001,1,1992/06/02,1050,
+07DA001,1,1992/06/03,1090,
+07DA001,1,1992/06/04,1140,
+07DA001,1,1992/06/05,1180,
+07DA001,1,1992/06/06,1190,
+07DA001,1,1992/06/07,1320,
+07DA001,1,1992/06/08,1430,
+07DA001,1,1992/06/09,1340,
+07DA001,1,1992/06/10,1230,
+07DA001,1,1992/06/11,1130,
+07DA001,1,1992/06/12,1070,
+07DA001,1,1992/06/13,1050,
+07DA001,1,1992/06/14,1070,
+07DA001,1,1992/06/15,1110,
+07DA001,1,1992/06/16,1130,
+07DA001,1,1992/06/17,1120,
+07DA001,1,1992/06/18,1150,
+07DA001,1,1992/06/19,1180,
+07DA001,1,1992/06/20,1160,
+07DA001,1,1992/06/21,1130,
+07DA001,1,1992/06/22,1130,
+07DA001,1,1992/06/23,1120,
+07DA001,1,1992/06/24,1070,
+07DA001,1,1992/06/25,1010,
+07DA001,1,1992/06/26,992,
+07DA001,1,1992/06/27,1000,
+07DA001,1,1992/06/28,993,
+07DA001,1,1992/06/29,1000,
+07DA001,1,1992/06/30,986,
+07DA001,1,1992/07/01,948,
+07DA001,1,1992/07/02,920,
+07DA001,1,1992/07/03,926,
+07DA001,1,1992/07/04,922,
+07DA001,1,1992/07/05,894,
+07DA001,1,1992/07/06,856,
+07DA001,1,1992/07/07,797,
+07DA001,1,1992/07/08,745,
+07DA001,1,1992/07/09,706,
+07DA001,1,1992/07/10,681,
+07DA001,1,1992/07/11,673,
+07DA001,1,1992/07/12,674,
+07DA001,1,1992/07/13,706,
+07DA001,1,1992/07/14,757,
+07DA001,1,1992/07/15,819,
+07DA001,1,1992/07/16,803,
+07DA001,1,1992/07/17,758,
+07DA001,1,1992/07/18,719,
+07DA001,1,1992/07/19,692,
+07DA001,1,1992/07/20,685,
+07DA001,1,1992/07/21,674,
+07DA001,1,1992/07/22,640,
+07DA001,1,1992/07/23,613,
+07DA001,1,1992/07/24,607,
+07DA001,1,1992/07/25,613,
+07DA001,1,1992/07/26,611,
+07DA001,1,1992/07/27,623,
+07DA001,1,1992/07/28,627,
+07DA001,1,1992/07/29,654,
+07DA001,1,1992/07/30,666,
+07DA001,1,1992/07/31,643,
+07DA001,1,1992/08/01,626,
+07DA001,1,1992/08/02,624,
+07DA001,1,1992/08/03,604,
+07DA001,1,1992/08/04,587,
+07DA001,1,1992/08/05,560,
+07DA001,1,1992/08/06,544,
+07DA001,1,1992/08/07,552,
+07DA001,1,1992/08/08,574,
+07DA001,1,1992/08/09,607,A
+07DA001,1,1992/08/10,585,
+07DA001,1,1992/08/11,585,
+07DA001,1,1992/08/12,604,
+07DA001,1,1992/08/13,600,
+07DA001,1,1992/08/14,591,
+07DA001,1,1992/08/15,564,
+07DA001,1,1992/08/16,523,
+07DA001,1,1992/08/17,494,
+07DA001,1,1992/08/18,479,
+07DA001,1,1992/08/19,486,
+07DA001,1,1992/08/20,500,
+07DA001,1,1992/08/21,530,
+07DA001,1,1992/08/22,570,
+07DA001,1,1992/08/23,579,
+07DA001,1,1992/08/24,569,
+07DA001,1,1992/08/25,571,
+07DA001,1,1992/08/26,585,
+07DA001,1,1992/08/27,568,
+07DA001,1,1992/08/28,544,
+07DA001,1,1992/08/29,519,
+07DA001,1,1992/08/30,487,
+07DA001,1,1992/08/31,471,
+07DA001,1,1992/09/01,468,
+07DA001,1,1992/09/02,462,
+07DA001,1,1992/09/03,453,
+07DA001,1,1992/09/04,477,
+07DA001,1,1992/09/05,488,
+07DA001,1,1992/09/06,469,
+07DA001,1,1992/09/07,450,
+07DA001,1,1992/09/08,448,
+07DA001,1,1992/09/09,462,
+07DA001,1,1992/09/10,494,
+07DA001,1,1992/09/11,518,
+07DA001,1,1992/09/12,549,
+07DA001,1,1992/09/13,566,
+07DA001,1,1992/09/14,567,
+07DA001,1,1992/09/15,560,
+07DA001,1,1992/09/16,557,
+07DA001,1,1992/09/17,545,
+07DA001,1,1992/09/18,542,
+07DA001,1,1992/09/19,555,
+07DA001,1,1992/09/20,559,
+07DA001,1,1992/09/21,541,
+07DA001,1,1992/09/22,520,
+07DA001,1,1992/09/23,506,
+07DA001,1,1992/09/24,489,
+07DA001,1,1992/09/25,501,
+07DA001,1,1992/09/26,495,
+07DA001,1,1992/09/27,486,
+07DA001,1,1992/09/28,493,
+07DA001,1,1992/09/29,526,
+07DA001,1,1992/09/30,525,
+07DA001,1,1992/10/01,529,
+07DA001,1,1992/10/02,552,
+07DA001,1,1992/10/03,541,
+07DA001,1,1992/10/04,514,
+07DA001,1,1992/10/05,489,
+07DA001,1,1992/10/06,463,
+07DA001,1,1992/10/07,439,
+07DA001,1,1992/10/08,424,
+07DA001,1,1992/10/09,418,
+07DA001,1,1992/10/10,415,
+07DA001,1,1992/10/11,423,
+07DA001,1,1992/10/12,440,
+07DA001,1,1992/10/13,427,
+07DA001,1,1992/10/14,400,
+07DA001,1,1992/10/15,376,
+07DA001,1,1992/10/16,360,
+07DA001,1,1992/10/17,320,B
+07DA001,1,1992/10/18,310,B
+07DA001,1,1992/10/19,301,B
+07DA001,1,1992/10/20,300,B
+07DA001,1,1992/10/21,298,B
+07DA001,1,1992/10/22,299,B
+07DA001,1,1992/10/23,303,B
+07DA001,1,1992/10/24,306,B
+07DA001,1,1992/10/25,302,B
+07DA001,1,1992/10/26,295,B
+07DA001,1,1992/10/27,300,B
+07DA001,1,1992/10/28,300,B
+07DA001,1,1992/10/29,297,B
+07DA001,1,1992/10/30,317,B
+07DA001,1,1992/10/31,313,
+07DA001,1,1992/11/01,386,
+07DA001,1,1992/11/02,428,
+07DA001,1,1992/11/03,393,
+07DA001,1,1992/11/04,366,
+07DA001,1,1992/11/05,350,
+07DA001,1,1992/11/06,338,
+07DA001,1,1992/11/07,329,
+07DA001,1,1992/11/08,324,
+07DA001,1,1992/11/09,313,
+07DA001,1,1992/11/10,292,B
+07DA001,1,1992/11/11,285,B
+07DA001,1,1992/11/12,262,B
+07DA001,1,1992/11/13,232,B
+07DA001,1,1992/11/14,227,B
+07DA001,1,1992/11/15,222,B
+07DA001,1,1992/11/16,221,B
+07DA001,1,1992/11/17,220,B
+07DA001,1,1992/11/18,219,B
+07DA001,1,1992/11/19,218,B
+07DA001,1,1992/11/20,217,B
+07DA001,1,1992/11/21,213,B
+07DA001,1,1992/11/22,207,B
+07DA001,1,1992/11/23,201,B
+07DA001,1,1992/11/24,199,B
+07DA001,1,1992/11/25,196,B
+07DA001,1,1992/11/26,197,B
+07DA001,1,1992/11/27,199,B
+07DA001,1,1992/11/28,200,B
+07DA001,1,1992/11/29,200,B
+07DA001,1,1992/11/30,196,B
+07DA001,1,1992/12/01,190,B
+07DA001,1,1992/12/02,187,B
+07DA001,1,1992/12/03,180,B
+07DA001,1,1992/12/04,180,B
+07DA001,1,1992/12/05,172,B
+07DA001,1,1992/12/06,170,B
+07DA001,1,1992/12/07,168,B
+07DA001,1,1992/12/08,166,B
+07DA001,1,1992/12/09,163,B
+07DA001,1,1992/12/10,161,B
+07DA001,1,1992/12/11,159,B
+07DA001,1,1992/12/12,157,B
+07DA001,1,1992/12/13,155,B
+07DA001,1,1992/12/14,155,B
+07DA001,1,1992/12/15,153,B
+07DA001,1,1992/12/16,149,B
+07DA001,1,1992/12/17,148,B
+07DA001,1,1992/12/18,147,B
+07DA001,1,1992/12/19,144,B
+07DA001,1,1992/12/20,142,B
+07DA001,1,1992/12/21,140,B
+07DA001,1,1992/12/22,138,B
+07DA001,1,1992/12/23,137,B
+07DA001,1,1992/12/24,136,B
+07DA001,1,1992/12/25,134,B
+07DA001,1,1992/12/26,132,B
+07DA001,1,1992/12/27,130,B
+07DA001,1,1992/12/28,129,B
+07DA001,1,1992/12/29,128,B
+07DA001,1,1992/12/30,127,B
+07DA001,1,1992/12/31,126,B
+07DA001,1,1993/01/01,126,B
+07DA001,1,1993/01/02,125,B
+07DA001,1,1993/01/03,124,B
+07DA001,1,1993/01/04,124,B
+07DA001,1,1993/01/05,125,B
+07DA001,1,1993/01/06,129,B
+07DA001,1,1993/01/07,131,B
+07DA001,1,1993/01/08,131,B
+07DA001,1,1993/01/09,118,B
+07DA001,1,1993/01/10,124,B
+07DA001,1,1993/01/11,124,B
+07DA001,1,1993/01/12,121,B
+07DA001,1,1993/01/13,119,B
+07DA001,1,1993/01/14,119,B
+07DA001,1,1993/01/15,119,B
+07DA001,1,1993/01/16,120,B
+07DA001,1,1993/01/17,122,B
+07DA001,1,1993/01/18,123,B
+07DA001,1,1993/01/19,124,B
+07DA001,1,1993/01/20,124,B
+07DA001,1,1993/01/21,123,B
+07DA001,1,1993/01/22,123,B
+07DA001,1,1993/01/23,123,B
+07DA001,1,1993/01/24,123,B
+07DA001,1,1993/01/25,123,B
+07DA001,1,1993/01/26,122,B
+07DA001,1,1993/01/27,122,B
+07DA001,1,1993/01/28,122,B
+07DA001,1,1993/01/29,122,B
+07DA001,1,1993/01/30,123,B
+07DA001,1,1993/01/31,124,B
+07DA001,1,1993/02/01,125,B
+07DA001,1,1993/02/02,124,B
+07DA001,1,1993/02/03,122,B
+07DA001,1,1993/02/04,121,B
+07DA001,1,1993/02/05,120,B
+07DA001,1,1993/02/06,122,B
+07DA001,1,1993/02/07,122,B
+07DA001,1,1993/02/08,122,B
+07DA001,1,1993/02/09,122,B
+07DA001,1,1993/02/10,121,B
+07DA001,1,1993/02/11,120,B
+07DA001,1,1993/02/12,120,B
+07DA001,1,1993/02/13,120,B
+07DA001,1,1993/02/14,120,B
+07DA001,1,1993/02/15,120,B
+07DA001,1,1993/02/16,121,B
+07DA001,1,1993/02/17,120,B
+07DA001,1,1993/02/18,119,B
+07DA001,1,1993/02/19,119,B
+07DA001,1,1993/02/20,119,B
+07DA001,1,1993/02/21,119,B
+07DA001,1,1993/02/22,119,B
+07DA001,1,1993/02/23,119,B
+07DA001,1,1993/02/24,118,B
+07DA001,1,1993/02/25,118,B
+07DA001,1,1993/02/26,117,B
+07DA001,1,1993/02/27,117,B
+07DA001,1,1993/02/28,116,B
+07DA001,1,1993/03/01,116,B
+07DA001,1,1993/03/02,116,B
+07DA001,1,1993/03/03,117,B
+07DA001,1,1993/03/04,117,B
+07DA001,1,1993/03/05,119,B
+07DA001,1,1993/03/06,121,B
+07DA001,1,1993/03/07,125,B
+07DA001,1,1993/03/08,125,B
+07DA001,1,1993/03/09,128,B
+07DA001,1,1993/03/10,129,B
+07DA001,1,1993/03/11,130,B
+07DA001,1,1993/03/12,131,B
+07DA001,1,1993/03/13,131,B
+07DA001,1,1993/03/14,130,B
+07DA001,1,1993/03/15,130,B
+07DA001,1,1993/03/16,129,B
+07DA001,1,1993/03/17,130,B
+07DA001,1,1993/03/18,131,B
+07DA001,1,1993/03/19,133,B
+07DA001,1,1993/03/20,136,B
+07DA001,1,1993/03/21,138,B
+07DA001,1,1993/03/22,142,B
+07DA001,1,1993/03/23,146,B
+07DA001,1,1993/03/24,149,B
+07DA001,1,1993/03/25,152,B
+07DA001,1,1993/03/26,153,B
+07DA001,1,1993/03/27,155,B
+07DA001,1,1993/03/28,156,B
+07DA001,1,1993/03/29,157,B
+07DA001,1,1993/03/30,161,B
+07DA001,1,1993/03/31,168,B
+07DA001,1,1993/04/01,171,B
+07DA001,1,1993/04/02,176,B
+07DA001,1,1993/04/03,180,B
+07DA001,1,1993/04/04,189,B
+07DA001,1,1993/04/05,189,B
+07DA001,1,1993/04/06,192,B
+07DA001,1,1993/04/07,195,B
+07DA001,1,1993/04/08,200,B
+07DA001,1,1993/04/09,208,B
+07DA001,1,1993/04/10,216,B
+07DA001,1,1993/04/11,226,B
+07DA001,1,1993/04/12,233,B
+07DA001,1,1993/04/13,244,B
+07DA001,1,1993/04/14,257,B
+07DA001,1,1993/04/15,268,B
+07DA001,1,1993/04/16,272,B
+07DA001,1,1993/04/17,272,B
+07DA001,1,1993/04/18,296,B
+07DA001,1,1993/04/19,360,B
+07DA001,1,1993/04/20,420,B
+07DA001,1,1993/04/21,510,B
+07DA001,1,1993/04/22,507,B
+07DA001,1,1993/04/23,503,B
+07DA001,1,1993/04/24,500,B
+07DA001,1,1993/04/25,480,B
+07DA001,1,1993/04/26,470,B
+07DA001,1,1993/04/27,465,B
+07DA001,1,1993/04/28,460,B
+07DA001,1,1993/04/29,462,E
+07DA001,1,1993/04/30,465,E
+07DA001,1,1993/05/01,462,A
+07DA001,1,1993/05/02,460,
+07DA001,1,1993/05/03,450,
+07DA001,1,1993/05/04,441,
+07DA001,1,1993/05/05,437,
+07DA001,1,1993/05/06,430,
+07DA001,1,1993/05/07,424,
+07DA001,1,1993/05/08,454,
+07DA001,1,1993/05/09,573,
+07DA001,1,1993/05/10,669,
+07DA001,1,1993/05/11,675,
+07DA001,1,1993/05/12,771,
+07DA001,1,1993/05/13,809,
+07DA001,1,1993/05/14,755,
+07DA001,1,1993/05/15,705,
+07DA001,1,1993/05/16,658,
+07DA001,1,1993/05/17,617,
+07DA001,1,1993/05/18,584,
+07DA001,1,1993/05/19,720,
+07DA001,1,1993/05/20,998,
+07DA001,1,1993/05/21,991,
+07DA001,1,1993/05/22,913,
+07DA001,1,1993/05/23,868,
+07DA001,1,1993/05/24,841,
+07DA001,1,1993/05/25,815,
+07DA001,1,1993/05/26,808,
+07DA001,1,1993/05/27,797,
+07DA001,1,1993/05/28,759,
+07DA001,1,1993/05/29,713,
+07DA001,1,1993/05/30,666,
+07DA001,1,1993/05/31,644,
+07DA001,1,1993/06/01,657,
+07DA001,1,1993/06/02,677,
+07DA001,1,1993/06/03,672,
+07DA001,1,1993/06/04,653,
+07DA001,1,1993/06/05,639,
+07DA001,1,1993/06/06,621,
+07DA001,1,1993/06/07,614,
+07DA001,1,1993/06/08,647,
+07DA001,1,1993/06/09,667,
+07DA001,1,1993/06/10,635,
+07DA001,1,1993/06/11,617,
+07DA001,1,1993/06/12,595,
+07DA001,1,1993/06/13,578,
+07DA001,1,1993/06/14,577,
+07DA001,1,1993/06/15,599,
+07DA001,1,1993/06/16,574,
+07DA001,1,1993/06/17,529,
+07DA001,1,1993/06/18,492,
+07DA001,1,1993/06/19,462,
+07DA001,1,1993/06/20,441,
+07DA001,1,1993/06/21,439,
+07DA001,1,1993/06/22,496,
+07DA001,1,1993/06/23,618,
+07DA001,1,1993/06/24,697,
+07DA001,1,1993/06/25,785,
+07DA001,1,1993/06/26,878,
+07DA001,1,1993/06/27,933,
+07DA001,1,1993/06/28,1130,
+07DA001,1,1993/06/29,1160,
+07DA001,1,1993/06/30,1060,
+07DA001,1,1993/07/01,1020,
+07DA001,1,1993/07/02,1030,
+07DA001,1,1993/07/03,1150,
+07DA001,1,1993/07/04,1160,
+07DA001,1,1993/07/05,1080,
+07DA001,1,1993/07/06,1020,
+07DA001,1,1993/07/07,1010,
+07DA001,1,1993/07/08,986,
+07DA001,1,1993/07/09,989,
+07DA001,1,1993/07/10,989,
+07DA001,1,1993/07/11,1000,
+07DA001,1,1993/07/12,1020,
+07DA001,1,1993/07/13,1030,
+07DA001,1,1993/07/14,1040,
+07DA001,1,1993/07/15,1050,
+07DA001,1,1993/07/16,998,
+07DA001,1,1993/07/17,968,
+07DA001,1,1993/07/18,931,
+07DA001,1,1993/07/19,903,
+07DA001,1,1993/07/20,893,
+07DA001,1,1993/07/21,914,
+07DA001,1,1993/07/22,985,
+07DA001,1,1993/07/23,1030,
+07DA001,1,1993/07/24,1030,
+07DA001,1,1993/07/25,1060,
+07DA001,1,1993/07/26,1180,
+07DA001,1,1993/07/27,1230,
+07DA001,1,1993/07/28,1280,
+07DA001,1,1993/07/29,1270,
+07DA001,1,1993/07/30,1220,
+07DA001,1,1993/07/31,1170,
+07DA001,1,1993/08/01,1140,
+07DA001,1,1993/08/02,1130,
+07DA001,1,1993/08/03,1150,
+07DA001,1,1993/08/04,1170,
+07DA001,1,1993/08/05,1150,
+07DA001,1,1993/08/06,1060,
+07DA001,1,1993/08/07,1000,
+07DA001,1,1993/08/08,956,
+07DA001,1,1993/08/09,940,
+07DA001,1,1993/08/10,930,
+07DA001,1,1993/08/11,942,
+07DA001,1,1993/08/12,1010,
+07DA001,1,1993/08/13,1100,
+07DA001,1,1993/08/14,1120,
+07DA001,1,1993/08/15,1070,
+07DA001,1,1993/08/16,1050,
+07DA001,1,1993/08/17,1060,
+07DA001,1,1993/08/18,1000,
+07DA001,1,1993/08/19,944,
+07DA001,1,1993/08/20,910,
+07DA001,1,1993/08/21,882,
+07DA001,1,1993/08/22,844,
+07DA001,1,1993/08/23,817,
+07DA001,1,1993/08/24,801,
+07DA001,1,1993/08/25,791,
+07DA001,1,1993/08/26,788,
+07DA001,1,1993/08/27,790,
+07DA001,1,1993/08/28,803,
+07DA001,1,1993/08/29,809,
+07DA001,1,1993/08/30,827,
+07DA001,1,1993/08/31,819,
+07DA001,1,1993/09/01,775,
+07DA001,1,1993/09/02,761,
+07DA001,1,1993/09/03,786,
+07DA001,1,1993/09/04,811,
+07DA001,1,1993/09/05,807,
+07DA001,1,1993/09/06,796,
+07DA001,1,1993/09/07,812,
+07DA001,1,1993/09/08,845,
+07DA001,1,1993/09/09,827,
+07DA001,1,1993/09/10,803,
+07DA001,1,1993/09/11,775,
+07DA001,1,1993/09/12,742,
+07DA001,1,1993/09/13,708,
+07DA001,1,1993/09/14,675,
+07DA001,1,1993/09/15,660,
+07DA001,1,1993/09/16,652,
+07DA001,1,1993/09/17,637,
+07DA001,1,1993/09/18,634,
+07DA001,1,1993/09/19,630,
+07DA001,1,1993/09/20,605,
+07DA001,1,1993/09/21,581,
+07DA001,1,1993/09/22,568,
+07DA001,1,1993/09/23,561,
+07DA001,1,1993/09/24,553,
+07DA001,1,1993/09/25,546,
+07DA001,1,1993/09/26,547,
+07DA001,1,1993/09/27,561,
+07DA001,1,1993/09/28,564,
+07DA001,1,1993/09/29,555,
+07DA001,1,1993/09/30,541,
+07DA001,1,1993/10/01,525,
+07DA001,1,1993/10/02,519,
+07DA001,1,1993/10/03,517,
+07DA001,1,1993/10/04,505,
+07DA001,1,1993/10/05,499,
+07DA001,1,1993/10/06,498,
+07DA001,1,1993/10/07,488,
+07DA001,1,1993/10/08,480,
+07DA001,1,1993/10/09,473,
+07DA001,1,1993/10/10,463,
+07DA001,1,1993/10/11,456,
+07DA001,1,1993/10/12,452,
+07DA001,1,1993/10/13,450,
+07DA001,1,1993/10/14,454,
+07DA001,1,1993/10/15,452,
+07DA001,1,1993/10/16,442,
+07DA001,1,1993/10/17,434,
+07DA001,1,1993/10/18,426,
+07DA001,1,1993/10/19,424,
+07DA001,1,1993/10/20,416,
+07DA001,1,1993/10/21,412,
+07DA001,1,1993/10/22,409,
+07DA001,1,1993/10/23,407,
+07DA001,1,1993/10/24,406,
+07DA001,1,1993/10/25,402,
+07DA001,1,1993/10/26,391,
+07DA001,1,1993/10/27,394,
+07DA001,1,1993/10/28,392,
+07DA001,1,1993/10/29,370,B
+07DA001,1,1993/10/30,358,B
+07DA001,1,1993/10/31,347,B
+07DA001,1,1993/11/01,337,B
+07DA001,1,1993/11/02,325,B
+07DA001,1,1993/11/03,313,B
+07DA001,1,1993/11/04,300,B
+07DA001,1,1993/11/05,275,B
+07DA001,1,1993/11/06,265,B
+07DA001,1,1993/11/07,240,B
+07DA001,1,1993/11/08,240,B
+07DA001,1,1993/11/09,250,B
+07DA001,1,1993/11/10,256,B
+07DA001,1,1993/11/11,259,B
+07DA001,1,1993/11/12,260,B
+07DA001,1,1993/11/13,260,B
+07DA001,1,1993/11/14,258,B
+07DA001,1,1993/11/15,257,B
+07DA001,1,1993/11/16,256,B
+07DA001,1,1993/11/17,254,B
+07DA001,1,1993/11/18,250,B
+07DA001,1,1993/11/19,245,B
+07DA001,1,1993/11/20,235,B
+07DA001,1,1993/11/21,220,B
+07DA001,1,1993/11/22,200,B
+07DA001,1,1993/11/23,175,B
+07DA001,1,1993/11/24,160,B
+07DA001,1,1993/11/25,158,B
+07DA001,1,1993/11/26,162,B
+07DA001,1,1993/11/27,168,B
+07DA001,1,1993/11/28,178,B
+07DA001,1,1993/11/29,185,B
+07DA001,1,1993/11/30,193,B
+07DA001,1,1993/12/01,198,B
+07DA001,1,1993/12/02,200,B
+07DA001,1,1993/12/03,204,B
+07DA001,1,1993/12/04,202,B
+07DA001,1,1993/12/05,199,B
+07DA001,1,1993/12/06,199,B
+07DA001,1,1993/12/07,198,B
+07DA001,1,1993/12/08,195,B
+07DA001,1,1993/12/09,193,B
+07DA001,1,1993/12/10,191,B
+07DA001,1,1993/12/11,189,B
+07DA001,1,1993/12/12,188,B
+07DA001,1,1993/12/13,187,B
+07DA001,1,1993/12/14,186,B
+07DA001,1,1993/12/15,185,B
+07DA001,1,1993/12/16,184,B
+07DA001,1,1993/12/17,182,B
+07DA001,1,1993/12/18,181,B
+07DA001,1,1993/12/19,180,B
+07DA001,1,1993/12/20,179,B
+07DA001,1,1993/12/21,178,B
+07DA001,1,1993/12/22,178,B
+07DA001,1,1993/12/23,177,B
+07DA001,1,1993/12/24,176,B
+07DA001,1,1993/12/25,176,B
+07DA001,1,1993/12/26,175,B
+07DA001,1,1993/12/27,175,B
+07DA001,1,1993/12/28,175,B
+07DA001,1,1993/12/29,174,B
+07DA001,1,1993/12/30,174,B
+07DA001,1,1993/12/31,174,B
+07DA001,1,1994/01/01,175,B
+07DA001,1,1994/01/02,175,B
+07DA001,1,1994/01/03,175,B
+07DA001,1,1994/01/04,174,B
+07DA001,1,1994/01/05,174,B
+07DA001,1,1994/01/06,174,B
+07DA001,1,1994/01/07,170,B
+07DA001,1,1994/01/08,164,B
+07DA001,1,1994/01/09,162,B
+07DA001,1,1994/01/10,158,B
+07DA001,1,1994/01/11,157,B
+07DA001,1,1994/01/12,156,B
+07DA001,1,1994/01/13,156,B
+07DA001,1,1994/01/14,152,B
+07DA001,1,1994/01/15,150,B
+07DA001,1,1994/01/16,150,B
+07DA001,1,1994/01/17,148,B
+07DA001,1,1994/01/18,145,B
+07DA001,1,1994/01/19,142,B
+07DA001,1,1994/01/20,142,B
+07DA001,1,1994/01/21,146,B
+07DA001,1,1994/01/22,149,B
+07DA001,1,1994/01/23,150,B
+07DA001,1,1994/01/24,151,B
+07DA001,1,1994/01/25,151,B
+07DA001,1,1994/01/26,152,B
+07DA001,1,1994/01/27,153,B
+07DA001,1,1994/01/28,154,B
+07DA001,1,1994/01/29,152,B
+07DA001,1,1994/01/30,151,B
+07DA001,1,1994/01/31,151,B
+07DA001,1,1994/02/01,151,B
+07DA001,1,1994/02/02,150,B
+07DA001,1,1994/02/03,150,B
+07DA001,1,1994/02/04,149,B
+07DA001,1,1994/02/05,148,B
+07DA001,1,1994/02/06,146,B
+07DA001,1,1994/02/07,144,B
+07DA001,1,1994/02/08,143,B
+07DA001,1,1994/02/09,143,B
+07DA001,1,1994/02/10,145,B
+07DA001,1,1994/02/11,146,B
+07DA001,1,1994/02/12,149,B
+07DA001,1,1994/02/13,150,B
+07DA001,1,1994/02/14,149,B
+07DA001,1,1994/02/15,149,B
+07DA001,1,1994/02/16,149,B
+07DA001,1,1994/02/17,148,B
+07DA001,1,1994/02/18,147,B
+07DA001,1,1994/02/19,147,B
+07DA001,1,1994/02/20,145,B
+07DA001,1,1994/02/21,144,B
+07DA001,1,1994/02/22,143,B
+07DA001,1,1994/02/23,142,B
+07DA001,1,1994/02/24,141,B
+07DA001,1,1994/02/25,141,B
+07DA001,1,1994/02/26,142,B
+07DA001,1,1994/02/27,142,B
+07DA001,1,1994/02/28,143,B
+07DA001,1,1994/03/01,143,B
+07DA001,1,1994/03/02,144,B
+07DA001,1,1994/03/03,146,B
+07DA001,1,1994/03/04,147,B
+07DA001,1,1994/03/05,149,B
+07DA001,1,1994/03/06,149,B
+07DA001,1,1994/03/07,149,B
+07DA001,1,1994/03/08,150,B
+07DA001,1,1994/03/09,152,B
+07DA001,1,1994/03/10,153,B
+07DA001,1,1994/03/11,154,B
+07DA001,1,1994/03/12,155,B
+07DA001,1,1994/03/13,160,B
+07DA001,1,1994/03/14,169,B
+07DA001,1,1994/03/15,175,B
+07DA001,1,1994/03/16,175,B
+07DA001,1,1994/03/17,175,B
+07DA001,1,1994/03/18,175,B
+07DA001,1,1994/03/19,174,B
+07DA001,1,1994/03/20,173,B
+07DA001,1,1994/03/21,173,B
+07DA001,1,1994/03/22,173,B
+07DA001,1,1994/03/23,174,B
+07DA001,1,1994/03/24,178,B
+07DA001,1,1994/03/25,180,B
+07DA001,1,1994/03/26,185,B
+07DA001,1,1994/03/27,186,B
+07DA001,1,1994/03/28,188,B
+07DA001,1,1994/03/29,189,B
+07DA001,1,1994/03/30,191,B
+07DA001,1,1994/03/31,193,B
+07DA001,1,1994/04/01,196,B
+07DA001,1,1994/04/02,195,B
+07DA001,1,1994/04/03,196,B
+07DA001,1,1994/04/04,195,B
+07DA001,1,1994/04/05,194,B
+07DA001,1,1994/04/06,198,B
+07DA001,1,1994/04/07,245,B
+07DA001,1,1994/04/08,332,B
+07DA001,1,1994/04/09,391,B
+07DA001,1,1994/04/10,415,B
+07DA001,1,1994/04/11,442,B
+07DA001,1,1994/04/12,475,B
+07DA001,1,1994/04/13,493,B
+07DA001,1,1994/04/14,502,B
+07DA001,1,1994/04/15,508,B
+07DA001,1,1994/04/16,515,B
+07DA001,1,1994/04/17,520,B
+07DA001,1,1994/04/18,535,B
+07DA001,1,1994/04/19,560,B
+07DA001,1,1994/04/20,585,B
+07DA001,1,1994/04/21,630,B
+07DA001,1,1994/04/22,685,B
+07DA001,1,1994/04/23,1180,
+07DA001,1,1994/04/24,1150,
+07DA001,1,1994/04/25,1080,
+07DA001,1,1994/04/26,1110,
+07DA001,1,1994/04/27,1140,
+07DA001,1,1994/04/28,1100,
+07DA001,1,1994/04/29,1030,
+07DA001,1,1994/04/30,977,
+07DA001,1,1994/05/01,934,
+07DA001,1,1994/05/02,893,
+07DA001,1,1994/05/03,853,
+07DA001,1,1994/05/04,820,
+07DA001,1,1994/05/05,796,
+07DA001,1,1994/05/06,785,
+07DA001,1,1994/05/07,805,
+07DA001,1,1994/05/08,820,
+07DA001,1,1994/05/09,840,
+07DA001,1,1994/05/10,828,
+07DA001,1,1994/05/11,820,
+07DA001,1,1994/05/12,800,
+07DA001,1,1994/05/13,778,
+07DA001,1,1994/05/14,781,
+07DA001,1,1994/05/15,815,
+07DA001,1,1994/05/16,841,
+07DA001,1,1994/05/17,889,
+07DA001,1,1994/05/18,959,
+07DA001,1,1994/05/19,1000,
+07DA001,1,1994/05/20,1040,
+07DA001,1,1994/05/21,1160,
+07DA001,1,1994/05/22,1210,
+07DA001,1,1994/05/23,1210,
+07DA001,1,1994/05/24,1180,
+07DA001,1,1994/05/25,1150,
+07DA001,1,1994/05/26,1140,
+07DA001,1,1994/05/27,1120,
+07DA001,1,1994/05/28,1110,
+07DA001,1,1994/05/29,1080,
+07DA001,1,1994/05/30,1100,
+07DA001,1,1994/05/31,1160,
+07DA001,1,1994/06/01,1210,
+07DA001,1,1994/06/02,1200,
+07DA001,1,1994/06/03,1130,
+07DA001,1,1994/06/04,1050,
+07DA001,1,1994/06/05,996,
+07DA001,1,1994/06/06,948,
+07DA001,1,1994/06/07,917,
+07DA001,1,1994/06/08,901,
+07DA001,1,1994/06/09,899,
+07DA001,1,1994/06/10,928,
+07DA001,1,1994/06/11,1020,
+07DA001,1,1994/06/12,1230,
+07DA001,1,1994/06/13,1480,
+07DA001,1,1994/06/14,1490,
+07DA001,1,1994/06/15,1460,
+07DA001,1,1994/06/16,1560,
+07DA001,1,1994/06/17,1860,
+07DA001,1,1994/06/18,2080,
+07DA001,1,1994/06/19,2070,
+07DA001,1,1994/06/20,1930,
+07DA001,1,1994/06/21,1740,
+07DA001,1,1994/06/22,1590,
+07DA001,1,1994/06/23,1500,
+07DA001,1,1994/06/24,1440,
+07DA001,1,1994/06/25,1400,
+07DA001,1,1994/06/26,1340,
+07DA001,1,1994/06/27,1300,
+07DA001,1,1994/06/28,1290,
+07DA001,1,1994/06/29,1320,
+07DA001,1,1994/06/30,1330,
+07DA001,1,1994/07/01,1300,
+07DA001,1,1994/07/02,1270,
+07DA001,1,1994/07/03,1270,
+07DA001,1,1994/07/04,1380,
+07DA001,1,1994/07/05,1590,
+07DA001,1,1994/07/06,1800,
+07DA001,1,1994/07/07,1920,
+07DA001,1,1994/07/08,1980,
+07DA001,1,1994/07/09,2030,
+07DA001,1,1994/07/10,2000,
+07DA001,1,1994/07/11,1910,
+07DA001,1,1994/07/12,1860,
+07DA001,1,1994/07/13,1820,
+07DA001,1,1994/07/14,1840,
+07DA001,1,1994/07/15,1810,
+07DA001,1,1994/07/16,1750,
+07DA001,1,1994/07/17,1650,
+07DA001,1,1994/07/18,1560,
+07DA001,1,1994/07/19,1470,
+07DA001,1,1994/07/20,1400,
+07DA001,1,1994/07/21,1360,
+07DA001,1,1994/07/22,1320,
+07DA001,1,1994/07/23,1290,
+07DA001,1,1994/07/24,1240,
+07DA001,1,1994/07/25,1180,
+07DA001,1,1994/07/26,1110,
+07DA001,1,1994/07/27,1060,
+07DA001,1,1994/07/28,1050,
+07DA001,1,1994/07/29,1030,
+07DA001,1,1994/07/30,999,
+07DA001,1,1994/07/31,1000,
+07DA001,1,1994/08/01,1040,
+07DA001,1,1994/08/02,1020,
+07DA001,1,1994/08/03,974,
+07DA001,1,1994/08/04,938,
+07DA001,1,1994/08/05,912,
+07DA001,1,1994/08/06,882,
+07DA001,1,1994/08/07,840,
+07DA001,1,1994/08/08,811,
+07DA001,1,1994/08/09,800,
+07DA001,1,1994/08/10,814,
+07DA001,1,1994/08/11,824,
+07DA001,1,1994/08/12,835,
+07DA001,1,1994/08/13,868,
+07DA001,1,1994/08/14,873,
+07DA001,1,1994/08/15,846,
+07DA001,1,1994/08/16,819,
+07DA001,1,1994/08/17,790,
+07DA001,1,1994/08/18,750,
+07DA001,1,1994/08/19,718,
+07DA001,1,1994/08/20,704,
+07DA001,1,1994/08/21,706,
+07DA001,1,1994/08/22,722,
+07DA001,1,1994/08/23,785,
+07DA001,1,1994/08/24,879,
+07DA001,1,1994/08/25,809,
+07DA001,1,1994/08/26,762,
+07DA001,1,1994/08/27,754,
+07DA001,1,1994/08/28,727,
+07DA001,1,1994/08/29,689,
+07DA001,1,1994/08/30,665,
+07DA001,1,1994/08/31,625,
+07DA001,1,1994/09/01,586,
+07DA001,1,1994/09/02,560,
+07DA001,1,1994/09/03,538,
+07DA001,1,1994/09/04,525,
+07DA001,1,1994/09/05,516,
+07DA001,1,1994/09/06,517,
+07DA001,1,1994/09/07,520,
+07DA001,1,1994/09/08,508,
+07DA001,1,1994/09/09,499,
+07DA001,1,1994/09/10,491,
+07DA001,1,1994/09/11,480,
+07DA001,1,1994/09/12,471,
+07DA001,1,1994/09/13,456,
+07DA001,1,1994/09/14,453,
+07DA001,1,1994/09/15,445,
+07DA001,1,1994/09/16,447,
+07DA001,1,1994/09/17,459,
+07DA001,1,1994/09/18,445,
+07DA001,1,1994/09/19,431,
+07DA001,1,1994/09/20,414,
+07DA001,1,1994/09/21,396,
+07DA001,1,1994/09/22,396,
+07DA001,1,1994/09/23,403,
+07DA001,1,1994/09/24,399,
+07DA001,1,1994/09/25,404,
+07DA001,1,1994/09/26,402,
+07DA001,1,1994/09/27,397,
+07DA001,1,1994/09/28,396,
+07DA001,1,1994/09/29,382,
+07DA001,1,1994/09/30,371,
+07DA001,1,1994/10/01,381,
+07DA001,1,1994/10/02,392,
+07DA001,1,1994/10/03,398,
+07DA001,1,1994/10/04,404,
+07DA001,1,1994/10/05,407,
+07DA001,1,1994/10/06,414,
+07DA001,1,1994/10/07,438,
+07DA001,1,1994/10/08,507,
+07DA001,1,1994/10/09,544,
+07DA001,1,1994/10/10,513,
+07DA001,1,1994/10/11,475,
+07DA001,1,1994/10/12,445,
+07DA001,1,1994/10/13,430,
+07DA001,1,1994/10/14,419,
+07DA001,1,1994/10/15,407,
+07DA001,1,1994/10/16,393,
+07DA001,1,1994/10/17,379,
+07DA001,1,1994/10/18,373,
+07DA001,1,1994/10/19,368,
+07DA001,1,1994/10/20,364,
+07DA001,1,1994/10/21,358,
+07DA001,1,1994/10/22,355,
+07DA001,1,1994/10/23,351,
+07DA001,1,1994/10/24,347,
+07DA001,1,1994/10/25,343,
+07DA001,1,1994/10/26,343,
+07DA001,1,1994/10/27,334,
+07DA001,1,1994/10/28,330,
+07DA001,1,1994/10/29,324,
+07DA001,1,1994/10/30,320,
+07DA001,1,1994/10/31,298,
+07DA001,1,1994/11/01,274,B
+07DA001,1,1994/11/02,256,B
+07DA001,1,1994/11/03,250,B
+07DA001,1,1994/11/04,254,B
+07DA001,1,1994/11/05,258,B
+07DA001,1,1994/11/06,259,B
+07DA001,1,1994/11/07,246,B
+07DA001,1,1994/11/08,241,B
+07DA001,1,1994/11/09,238,B
+07DA001,1,1994/11/10,239,B
+07DA001,1,1994/11/11,240,B
+07DA001,1,1994/11/12,235,B
+07DA001,1,1994/11/13,225,B
+07DA001,1,1994/11/14,218,B
+07DA001,1,1994/11/15,210,B
+07DA001,1,1994/11/16,204,B
+07DA001,1,1994/11/17,202,B
+07DA001,1,1994/11/18,200,B
+07DA001,1,1994/11/19,203,B
+07DA001,1,1994/11/20,205,B
+07DA001,1,1994/11/21,190,B
+07DA001,1,1994/11/22,180,B
+07DA001,1,1994/11/23,185,B
+07DA001,1,1994/11/24,190,B
+07DA001,1,1994/11/25,160,B
+07DA001,1,1994/11/26,155,B
+07DA001,1,1994/11/27,154,B
+07DA001,1,1994/11/28,156,B
+07DA001,1,1994/11/29,155,B
+07DA001,1,1994/11/30,150,B
+07DA001,1,1994/12/01,149,B
+07DA001,1,1994/12/02,148,B
+07DA001,1,1994/12/03,149,B
+07DA001,1,1994/12/04,150,B
+07DA001,1,1994/12/05,155,B
+07DA001,1,1994/12/06,158,B
+07DA001,1,1994/12/07,155,B
+07DA001,1,1994/12/08,151,B
+07DA001,1,1994/12/09,150,B
+07DA001,1,1994/12/10,149,B
+07DA001,1,1994/12/11,149,B
+07DA001,1,1994/12/12,150,B
+07DA001,1,1994/12/13,153,B
+07DA001,1,1994/12/14,155,B
+07DA001,1,1994/12/15,155,B
+07DA001,1,1994/12/16,156,B
+07DA001,1,1994/12/17,160,B
+07DA001,1,1994/12/18,165,B
+07DA001,1,1994/12/19,175,B
+07DA001,1,1994/12/20,185,B
+07DA001,1,1994/12/21,205,B
+07DA001,1,1994/12/22,218,B
+07DA001,1,1994/12/23,220,B
+07DA001,1,1994/12/24,219,B
+07DA001,1,1994/12/25,214,B
+07DA001,1,1994/12/26,205,B
+07DA001,1,1994/12/27,200,B
+07DA001,1,1994/12/28,198,B
+07DA001,1,1994/12/29,196,B
+07DA001,1,1994/12/30,198,B
+07DA001,1,1994/12/31,200,B
+07DA001,1,1995/01/01,197,B
+07DA001,1,1995/01/02,196,B
+07DA001,1,1995/01/03,194,B
+07DA001,1,1995/01/04,191,B
+07DA001,1,1995/01/05,186,B
+07DA001,1,1995/01/06,180,B
+07DA001,1,1995/01/07,176,B
+07DA001,1,1995/01/08,171,B
+07DA001,1,1995/01/09,169,B
+07DA001,1,1995/01/10,163,B
+07DA001,1,1995/01/11,158,B
+07DA001,1,1995/01/12,154,B
+07DA001,1,1995/01/13,151,B
+07DA001,1,1995/01/14,148,B
+07DA001,1,1995/01/15,148,B
+07DA001,1,1995/01/16,143,B
+07DA001,1,1995/01/17,148,B
+07DA001,1,1995/01/18,148,B
+07DA001,1,1995/01/19,149,B
+07DA001,1,1995/01/20,149,B
+07DA001,1,1995/01/21,148,B
+07DA001,1,1995/01/22,149,B
+07DA001,1,1995/01/23,151,B
+07DA001,1,1995/01/24,152,B
+07DA001,1,1995/01/25,152,B
+07DA001,1,1995/01/26,152,B
+07DA001,1,1995/01/27,152,B
+07DA001,1,1995/01/28,152,B
+07DA001,1,1995/01/29,153,B
+07DA001,1,1995/01/30,153,B
+07DA001,1,1995/01/31,153,B
+07DA001,1,1995/02/01,152,B
+07DA001,1,1995/02/02,152,B
+07DA001,1,1995/02/03,150,B
+07DA001,1,1995/02/04,150,B
+07DA001,1,1995/02/05,149,B
+07DA001,1,1995/02/06,148,B
+07DA001,1,1995/02/07,148,B
+07DA001,1,1995/02/08,149,B
+07DA001,1,1995/02/09,150,B
+07DA001,1,1995/02/10,149,B
+07DA001,1,1995/02/11,149,B
+07DA001,1,1995/02/12,149,B
+07DA001,1,1995/02/13,148,B
+07DA001,1,1995/02/14,147,B
+07DA001,1,1995/02/15,146,B
+07DA001,1,1995/02/16,146,B
+07DA001,1,1995/02/17,141,B
+07DA001,1,1995/02/18,137,B
+07DA001,1,1995/02/19,138,B
+07DA001,1,1995/02/20,139,B
+07DA001,1,1995/02/21,140,B
+07DA001,1,1995/02/22,138,B
+07DA001,1,1995/02/23,136,B
+07DA001,1,1995/02/24,134,B
+07DA001,1,1995/02/25,132,B
+07DA001,1,1995/02/26,130,B
+07DA001,1,1995/02/27,130,B
+07DA001,1,1995/02/28,130,B
+07DA001,1,1995/03/01,130,B
+07DA001,1,1995/03/02,131,B
+07DA001,1,1995/03/03,131,B
+07DA001,1,1995/03/04,132,B
+07DA001,1,1995/03/05,132,B
+07DA001,1,1995/03/06,130,B
+07DA001,1,1995/03/07,130,B
+07DA001,1,1995/03/08,129,B
+07DA001,1,1995/03/09,129,B
+07DA001,1,1995/03/10,130,B
+07DA001,1,1995/03/11,129,B
+07DA001,1,1995/03/12,127,B
+07DA001,1,1995/03/13,125,B
+07DA001,1,1995/03/14,124,B
+07DA001,1,1995/03/15,123,B
+07DA001,1,1995/03/16,123,B
+07DA001,1,1995/03/17,124,B
+07DA001,1,1995/03/18,124,B
+07DA001,1,1995/03/19,127,B
+07DA001,1,1995/03/20,129,B
+07DA001,1,1995/03/21,129,B
+07DA001,1,1995/03/22,132,B
+07DA001,1,1995/03/23,137,B
+07DA001,1,1995/03/24,142,B
+07DA001,1,1995/03/25,146,B
+07DA001,1,1995/03/26,155,B
+07DA001,1,1995/03/27,162,B
+07DA001,1,1995/03/28,167,B
+07DA001,1,1995/03/29,170,B
+07DA001,1,1995/03/30,175,B
+07DA001,1,1995/03/31,178,B
+07DA001,1,1995/04/01,181,B
+07DA001,1,1995/04/02,194,B
+07DA001,1,1995/04/03,205,B
+07DA001,1,1995/04/04,205,B
+07DA001,1,1995/04/05,202,B
+07DA001,1,1995/04/06,197,B
+07DA001,1,1995/04/07,190,B
+07DA001,1,1995/04/08,198,B
+07DA001,1,1995/04/09,206,B
+07DA001,1,1995/04/10,215,B
+07DA001,1,1995/04/11,216,B
+07DA001,1,1995/04/12,224,B
+07DA001,1,1995/04/13,229,B
+07DA001,1,1995/04/14,240,B
+07DA001,1,1995/04/15,245,B
+07DA001,1,1995/04/16,250,B
+07DA001,1,1995/04/17,251,B
+07DA001,1,1995/04/18,270,B
+07DA001,1,1995/04/19,285,B
+07DA001,1,1995/04/20,352,B
+07DA001,1,1995/04/21,409,B
+07DA001,1,1995/04/22,441,B
+07DA001,1,1995/04/23,476,B
+07DA001,1,1995/04/24,436,B
+07DA001,1,1995/04/25,436,B
+07DA001,1,1995/04/26,398,B
+07DA001,1,1995/04/27,428,B
+07DA001,1,1995/04/28,437,B
+07DA001,1,1995/04/29,446,B
+07DA001,1,1995/04/30,512,B
+07DA001,1,1995/05/01,514,
+07DA001,1,1995/05/02,519,
+07DA001,1,1995/05/03,506,
+07DA001,1,1995/05/04,493,
+07DA001,1,1995/05/05,484,
+07DA001,1,1995/05/06,472,
+07DA001,1,1995/05/07,460,
+07DA001,1,1995/05/08,442,
+07DA001,1,1995/05/09,430,
+07DA001,1,1995/05/10,423,
+07DA001,1,1995/05/11,415,
+07DA001,1,1995/05/12,418,
+07DA001,1,1995/05/13,422,
+07DA001,1,1995/05/14,425,
+07DA001,1,1995/05/15,433,
+07DA001,1,1995/05/16,439,
+07DA001,1,1995/05/17,450,
+07DA001,1,1995/05/18,469,
+07DA001,1,1995/05/19,549,
+07DA001,1,1995/05/20,635,
+07DA001,1,1995/05/21,677,
+07DA001,1,1995/05/22,676,
+07DA001,1,1995/05/23,691,
+07DA001,1,1995/05/24,695,
+07DA001,1,1995/05/25,667,
+07DA001,1,1995/05/26,638,
+07DA001,1,1995/05/27,619,
+07DA001,1,1995/05/28,601,
+07DA001,1,1995/05/29,598,
+07DA001,1,1995/05/30,602,
+07DA001,1,1995/05/31,613,
+07DA001,1,1995/06/01,621,
+07DA001,1,1995/06/02,616,
+07DA001,1,1995/06/03,632,
+07DA001,1,1995/06/04,748,
+07DA001,1,1995/06/05,904,
+07DA001,1,1995/06/06,949,
+07DA001,1,1995/06/07,936,
+07DA001,1,1995/06/08,932,
+07DA001,1,1995/06/09,953,
+07DA001,1,1995/06/10,1030,
+07DA001,1,1995/06/11,1160,
+07DA001,1,1995/06/12,1240,
+07DA001,1,1995/06/13,1130,
+07DA001,1,1995/06/14,1080,
+07DA001,1,1995/06/15,1040,
+07DA001,1,1995/06/16,992,
+07DA001,1,1995/06/17,970,
+07DA001,1,1995/06/18,969,
+07DA001,1,1995/06/19,977,
+07DA001,1,1995/06/20,964,
+07DA001,1,1995/06/21,960,
+07DA001,1,1995/06/22,997,
+07DA001,1,1995/06/23,1050,
+07DA001,1,1995/06/24,1140,
+07DA001,1,1995/06/25,1560,
+07DA001,1,1995/06/26,1860,
+07DA001,1,1995/06/27,1740,
+07DA001,1,1995/06/28,1670,
+07DA001,1,1995/06/29,1620,
+07DA001,1,1995/06/30,1550,
+07DA001,1,1995/07/01,1430,
+07DA001,1,1995/07/02,1320,
+07DA001,1,1995/07/03,1200,
+07DA001,1,1995/07/04,1090,
+07DA001,1,1995/07/05,1050,
+07DA001,1,1995/07/06,1050,
+07DA001,1,1995/07/07,1130,
+07DA001,1,1995/07/08,1650,
+07DA001,1,1995/07/09,1860,
+07DA001,1,1995/07/10,1770,
+07DA001,1,1995/07/11,1730,
+07DA001,1,1995/07/12,1650,
+07DA001,1,1995/07/13,1530,
+07DA001,1,1995/07/14,1430,
+07DA001,1,1995/07/15,1370,
+07DA001,1,1995/07/16,1330,
+07DA001,1,1995/07/17,1250,
+07DA001,1,1995/07/18,1150,
+07DA001,1,1995/07/19,1050,
+07DA001,1,1995/07/20,999,
+07DA001,1,1995/07/21,952,
+07DA001,1,1995/07/22,916,
+07DA001,1,1995/07/23,887,
+07DA001,1,1995/07/24,873,
+07DA001,1,1995/07/25,872,
+07DA001,1,1995/07/26,869,
+07DA001,1,1995/07/27,910,
+07DA001,1,1995/07/28,940,
+07DA001,1,1995/07/29,932,
+07DA001,1,1995/07/30,941,
+07DA001,1,1995/07/31,931,
+07DA001,1,1995/08/01,934,
+07DA001,1,1995/08/02,990,
+07DA001,1,1995/08/03,974,
+07DA001,1,1995/08/04,925,
+07DA001,1,1995/08/05,901,
+07DA001,1,1995/08/06,867,
+07DA001,1,1995/08/07,837,
+07DA001,1,1995/08/08,828,
+07DA001,1,1995/08/09,899,
+07DA001,1,1995/08/10,1110,
+07DA001,1,1995/08/11,1450,
+07DA001,1,1995/08/12,2440,
+07DA001,1,1995/08/13,3050,
+07DA001,1,1995/08/14,2810,
+07DA001,1,1995/08/15,2610,
+07DA001,1,1995/08/16,2430,
+07DA001,1,1995/08/17,2290,
+07DA001,1,1995/08/18,2150,
+07DA001,1,1995/08/19,2020,
+07DA001,1,1995/08/20,1890,
+07DA001,1,1995/08/21,1770,
+07DA001,1,1995/08/22,1650,
+07DA001,1,1995/08/23,1560,
+07DA001,1,1995/08/24,1490,
+07DA001,1,1995/08/25,1410,
+07DA001,1,1995/08/26,1320,
+07DA001,1,1995/08/27,1260,
+07DA001,1,1995/08/28,1210,
+07DA001,1,1995/08/29,1190,
+07DA001,1,1995/08/30,1150,
+07DA001,1,1995/08/31,1100,
+07DA001,1,1995/09/01,1030,
+07DA001,1,1995/09/02,971,
+07DA001,1,1995/09/03,923,
+07DA001,1,1995/09/04,878,
+07DA001,1,1995/09/05,847,
+07DA001,1,1995/09/06,807,
+07DA001,1,1995/09/07,772,
+07DA001,1,1995/09/08,738,
+07DA001,1,1995/09/09,711,
+07DA001,1,1995/09/10,689,
+07DA001,1,1995/09/11,666,
+07DA001,1,1995/09/12,646,
+07DA001,1,1995/09/13,648,
+07DA001,1,1995/09/14,645,
+07DA001,1,1995/09/15,635,
+07DA001,1,1995/09/16,614,
+07DA001,1,1995/09/17,597,
+07DA001,1,1995/09/18,579,
+07DA001,1,1995/09/19,569,
+07DA001,1,1995/09/20,559,
+07DA001,1,1995/09/21,537,
+07DA001,1,1995/09/22,525,
+07DA001,1,1995/09/23,512,
+07DA001,1,1995/09/24,497,
+07DA001,1,1995/09/25,485,
+07DA001,1,1995/09/26,479,
+07DA001,1,1995/09/27,467,
+07DA001,1,1995/09/28,451,
+07DA001,1,1995/09/29,437,
+07DA001,1,1995/09/30,429,
+07DA001,1,1995/10/01,421,
+07DA001,1,1995/10/02,417,
+07DA001,1,1995/10/03,413,
+07DA001,1,1995/10/04,409,
+07DA001,1,1995/10/05,404,
+07DA001,1,1995/10/06,404,
+07DA001,1,1995/10/07,399,
+07DA001,1,1995/10/08,394,
+07DA001,1,1995/10/09,391,
+07DA001,1,1995/10/10,384,
+07DA001,1,1995/10/11,377,
+07DA001,1,1995/10/12,374,
+07DA001,1,1995/10/13,369,
+07DA001,1,1995/10/14,366,
+07DA001,1,1995/10/15,362,
+07DA001,1,1995/10/16,370,
+07DA001,1,1995/10/17,373,
+07DA001,1,1995/10/18,385,
+07DA001,1,1995/10/19,389,
+07DA001,1,1995/10/20,394,
+07DA001,1,1995/10/21,394,
+07DA001,1,1995/10/22,390,
+07DA001,1,1995/10/23,388,
+07DA001,1,1995/10/24,397,
+07DA001,1,1995/10/25,410,
+07DA001,1,1995/10/26,416,
+07DA001,1,1995/10/27,414,
+07DA001,1,1995/10/28,409,
+07DA001,1,1995/10/29,397,
+07DA001,1,1995/10/30,379,
+07DA001,1,1995/10/31,382,
+07DA001,1,1995/11/01,360,
+07DA001,1,1995/11/02,335,B
+07DA001,1,1995/11/03,318,B
+07DA001,1,1995/11/04,310,B
+07DA001,1,1995/11/05,319,B
+07DA001,1,1995/11/06,300,B
+07DA001,1,1995/11/07,283,B
+07DA001,1,1995/11/08,265,B
+07DA001,1,1995/11/09,240,B
+07DA001,1,1995/11/10,210,B
+07DA001,1,1995/11/11,184,B
+07DA001,1,1995/11/12,152,B
+07DA001,1,1995/11/13,161,B
+07DA001,1,1995/11/14,174,B
+07DA001,1,1995/11/15,159,B
+07DA001,1,1995/11/16,155,B
+07DA001,1,1995/11/17,171,B
+07DA001,1,1995/11/18,230,B
+07DA001,1,1995/11/19,242,B
+07DA001,1,1995/11/20,250,B
+07DA001,1,1995/11/21,251,B
+07DA001,1,1995/11/22,245,B
+07DA001,1,1995/11/23,235,B
+07DA001,1,1995/11/24,223,B
+07DA001,1,1995/11/25,214,B
+07DA001,1,1995/11/26,211,B
+07DA001,1,1995/11/27,215,B
+07DA001,1,1995/11/28,216,B
+07DA001,1,1995/11/29,211,B
+07DA001,1,1995/11/30,208,B
+07DA001,1,1995/12/01,208,B
+07DA001,1,1995/12/02,209,B
+07DA001,1,1995/12/03,208,B
+07DA001,1,1995/12/04,194,B
+07DA001,1,1995/12/05,189,B
+07DA001,1,1995/12/06,189,B
+07DA001,1,1995/12/07,181,B
+07DA001,1,1995/12/08,179,B
+07DA001,1,1995/12/09,178,B
+07DA001,1,1995/12/10,177,B
+07DA001,1,1995/12/11,176,B
+07DA001,1,1995/12/12,175,B
+07DA001,1,1995/12/13,176,B
+07DA001,1,1995/12/14,178,B
+07DA001,1,1995/12/15,178,B
+07DA001,1,1995/12/16,180,B
+07DA001,1,1995/12/17,179,B
+07DA001,1,1995/12/18,178,B
+07DA001,1,1995/12/19,177,B
+07DA001,1,1995/12/20,178,B
+07DA001,1,1995/12/21,180,B
+07DA001,1,1995/12/22,181,B
+07DA001,1,1995/12/23,182,B
+07DA001,1,1995/12/24,183,B
+07DA001,1,1995/12/25,183,B
+07DA001,1,1995/12/26,184,B
+07DA001,1,1995/12/27,183,B
+07DA001,1,1995/12/28,182,B
+07DA001,1,1995/12/29,181,B
+07DA001,1,1995/12/30,181,B
+07DA001,1,1995/12/31,180,B
+07DA001,1,1996/01/01,178,B
+07DA001,1,1996/01/02,178,B
+07DA001,1,1996/01/03,176,B
+07DA001,1,1996/01/04,172,B
+07DA001,1,1996/01/05,168,B
+07DA001,1,1996/01/06,164,B
+07DA001,1,1996/01/07,161,B
+07DA001,1,1996/01/08,158,B
+07DA001,1,1996/01/09,155,B
+07DA001,1,1996/01/10,157,B
+07DA001,1,1996/01/11,160,B
+07DA001,1,1996/01/12,162,B
+07DA001,1,1996/01/13,159,B
+07DA001,1,1996/01/14,154,B
+07DA001,1,1996/01/15,151,B
+07DA001,1,1996/01/16,150,B
+07DA001,1,1996/01/17,148,B
+07DA001,1,1996/01/18,145,B
+07DA001,1,1996/01/19,146,B
+07DA001,1,1996/01/20,148,B
+07DA001,1,1996/01/21,147,B
+07DA001,1,1996/01/22,147,B
+07DA001,1,1996/01/23,148,B
+07DA001,1,1996/01/24,148,B
+07DA001,1,1996/01/25,143,B
+07DA001,1,1996/01/26,135,B
+07DA001,1,1996/01/27,131,B
+07DA001,1,1996/01/28,131,B
+07DA001,1,1996/01/29,129,B
+07DA001,1,1996/01/30,126,B
+07DA001,1,1996/01/31,126,B
+07DA001,1,1996/02/01,124,B
+07DA001,1,1996/02/02,121,B
+07DA001,1,1996/02/03,120,B
+07DA001,1,1996/02/04,120,B
+07DA001,1,1996/02/05,119,B
+07DA001,1,1996/02/06,118,B
+07DA001,1,1996/02/07,118,B
+07DA001,1,1996/02/08,118,B
+07DA001,1,1996/02/09,117,B
+07DA001,1,1996/02/10,117,B
+07DA001,1,1996/02/11,117,B
+07DA001,1,1996/02/12,118,B
+07DA001,1,1996/02/13,120,B
+07DA001,1,1996/02/14,122,B
+07DA001,1,1996/02/15,122,B
+07DA001,1,1996/02/16,122,B
+07DA001,1,1996/02/17,123,B
+07DA001,1,1996/02/18,123,B
+07DA001,1,1996/02/19,122,B
+07DA001,1,1996/02/20,123,B
+07DA001,1,1996/02/21,124,B
+07DA001,1,1996/02/22,125,B
+07DA001,1,1996/02/23,124,B
+07DA001,1,1996/02/24,123,B
+07DA001,1,1996/02/25,122,B
+07DA001,1,1996/02/26,121,B
+07DA001,1,1996/02/27,122,B
+07DA001,1,1996/02/28,123,B
+07DA001,1,1996/02/29,123,B
+07DA001,1,1996/03/01,122,B
+07DA001,1,1996/03/02,121,B
+07DA001,1,1996/03/03,120,B
+07DA001,1,1996/03/04,120,B
+07DA001,1,1996/03/05,119,B
+07DA001,1,1996/03/06,118,B
+07DA001,1,1996/03/07,119,B
+07DA001,1,1996/03/08,119,B
+07DA001,1,1996/03/09,120,B
+07DA001,1,1996/03/10,120,B
+07DA001,1,1996/03/11,118,B
+07DA001,1,1996/03/12,118,B
+07DA001,1,1996/03/13,118,B
+07DA001,1,1996/03/14,120,B
+07DA001,1,1996/03/15,122,B
+07DA001,1,1996/03/16,124,B
+07DA001,1,1996/03/17,125,B
+07DA001,1,1996/03/18,127,B
+07DA001,1,1996/03/19,130,B
+07DA001,1,1996/03/20,135,B
+07DA001,1,1996/03/21,141,B
+07DA001,1,1996/03/22,147,B
+07DA001,1,1996/03/23,156,B
+07DA001,1,1996/03/24,164,B
+07DA001,1,1996/03/25,171,B
+07DA001,1,1996/03/26,178,B
+07DA001,1,1996/03/27,187,B
+07DA001,1,1996/03/28,192,B
+07DA001,1,1996/03/29,190,B
+07DA001,1,1996/03/30,173,B
+07DA001,1,1996/03/31,156,B
+07DA001,1,1996/04/01,139,B
+07DA001,1,1996/04/02,139,B
+07DA001,1,1996/04/03,142,B
+07DA001,1,1996/04/04,148,B
+07DA001,1,1996/04/05,160,B
+07DA001,1,1996/04/06,168,B
+07DA001,1,1996/04/07,172,B
+07DA001,1,1996/04/08,173,B
+07DA001,1,1996/04/09,170,B
+07DA001,1,1996/04/10,167,B
+07DA001,1,1996/04/11,197,B
+07DA001,1,1996/04/12,253,B
+07DA001,1,1996/04/13,280,B
+07DA001,1,1996/04/14,285,B
+07DA001,1,1996/04/15,371,B
+07DA001,1,1996/04/16,588,B
+07DA001,1,1996/04/17,740,B
+07DA001,1,1996/04/18,986,B
+07DA001,1,1996/04/19,1150,B
+07DA001,1,1996/04/20,1320,B
+07DA001,1,1996/04/21,1480,B
+07DA001,1,1996/04/22,1650,B
+07DA001,1,1996/04/23,1640,B
+07DA001,1,1996/04/24,1570,B
+07DA001,1,1996/04/25,1500,B
+07DA001,1,1996/04/26,1420,B
+07DA001,1,1996/04/27,1270,B
+07DA001,1,1996/04/28,1320,B
+07DA001,1,1996/04/29,1410,
+07DA001,1,1996/04/30,1290,
+07DA001,1,1996/05/01,1250,
+07DA001,1,1996/05/02,1250,
+07DA001,1,1996/05/03,1220,
+07DA001,1,1996/05/04,1190,
+07DA001,1,1996/05/05,1170,
+07DA001,1,1996/05/06,1120,
+07DA001,1,1996/05/07,1070,
+07DA001,1,1996/05/08,1010,
+07DA001,1,1996/05/09,963,
+07DA001,1,1996/05/10,926,
+07DA001,1,1996/05/11,893,
+07DA001,1,1996/05/12,860,
+07DA001,1,1996/05/13,829,
+07DA001,1,1996/05/14,804,
+07DA001,1,1996/05/15,774,
+07DA001,1,1996/05/16,756,
+07DA001,1,1996/05/17,744,
+07DA001,1,1996/05/18,744,
+07DA001,1,1996/05/19,772,
+07DA001,1,1996/05/20,900,
+07DA001,1,1996/05/21,1030,
+07DA001,1,1996/05/22,1150,
+07DA001,1,1996/05/23,1190,
+07DA001,1,1996/05/24,1170,
+07DA001,1,1996/05/25,1120,
+07DA001,1,1996/05/26,1080,
+07DA001,1,1996/05/27,1040,
+07DA001,1,1996/05/28,1010,
+07DA001,1,1996/05/29,970,
+07DA001,1,1996/05/30,954,
+07DA001,1,1996/05/31,962,
+07DA001,1,1996/06/01,1010,
+07DA001,1,1996/06/02,1090,
+07DA001,1,1996/06/03,1410,
+07DA001,1,1996/06/04,2560,
+07DA001,1,1996/06/05,2870,
+07DA001,1,1996/06/06,2480,
+07DA001,1,1996/06/07,2240,
+07DA001,1,1996/06/08,2190,
+07DA001,1,1996/06/09,2160,
+07DA001,1,1996/06/10,2030,
+07DA001,1,1996/06/11,1860,
+07DA001,1,1996/06/12,1750,
+07DA001,1,1996/06/13,1730,
+07DA001,1,1996/06/14,1670,
+07DA001,1,1996/06/15,1530,
+07DA001,1,1996/06/16,1410,
+07DA001,1,1996/06/17,1320,
+07DA001,1,1996/06/18,1300,
+07DA001,1,1996/06/19,1370,
+07DA001,1,1996/06/20,1500,
+07DA001,1,1996/06/21,1760,
+07DA001,1,1996/06/22,2300,
+07DA001,1,1996/06/23,2840,
+07DA001,1,1996/06/24,2890,
+07DA001,1,1996/06/25,2490,
+07DA001,1,1996/06/26,2200,
+07DA001,1,1996/06/27,2050,
+07DA001,1,1996/06/28,1970,
+07DA001,1,1996/06/29,1880,
+07DA001,1,1996/06/30,1780,
+07DA001,1,1996/07/01,1690,
+07DA001,1,1996/07/02,1650,
+07DA001,1,1996/07/03,1620,
+07DA001,1,1996/07/04,1640,
+07DA001,1,1996/07/05,1650,
+07DA001,1,1996/07/06,1650,
+07DA001,1,1996/07/07,1720,
+07DA001,1,1996/07/08,1910,
+07DA001,1,1996/07/09,2080,
+07DA001,1,1996/07/10,2060,
+07DA001,1,1996/07/11,1980,
+07DA001,1,1996/07/12,1890,
+07DA001,1,1996/07/13,1800,
+07DA001,1,1996/07/14,1790,
+07DA001,1,1996/07/15,1820,
+07DA001,1,1996/07/16,1780,
+07DA001,1,1996/07/17,1680,
+07DA001,1,1996/07/18,1610,
+07DA001,1,1996/07/19,1650,
+07DA001,1,1996/07/20,1800,
+07DA001,1,1996/07/21,1870,
+07DA001,1,1996/07/22,1990,
+07DA001,1,1996/07/23,2030,
+07DA001,1,1996/07/24,2010,
+07DA001,1,1996/07/25,1930,
+07DA001,1,1996/07/26,1840,
+07DA001,1,1996/07/27,1720,
+07DA001,1,1996/07/28,1600,
+07DA001,1,1996/07/29,1520,
+07DA001,1,1996/07/30,1470,
+07DA001,1,1996/07/31,1420,
+07DA001,1,1996/08/01,1370,
+07DA001,1,1996/08/02,1330,
+07DA001,1,1996/08/03,1290,
+07DA001,1,1996/08/04,1330,
+07DA001,1,1996/08/05,1560,
+07DA001,1,1996/08/06,1890,
+07DA001,1,1996/08/07,2190,
+07DA001,1,1996/08/08,2220,
+07DA001,1,1996/08/09,2100,
+07DA001,1,1996/08/10,2030,
+07DA001,1,1996/08/11,1900,
+07DA001,1,1996/08/12,1760,
+07DA001,1,1996/08/13,1700,
+07DA001,1,1996/08/14,1620,
+07DA001,1,1996/08/15,1610,
+07DA001,1,1996/08/16,1650,
+07DA001,1,1996/08/17,1660,
+07DA001,1,1996/08/18,1670,
+07DA001,1,1996/08/19,1660,
+07DA001,1,1996/08/20,1770,
+07DA001,1,1996/08/21,1800,
+07DA001,1,1996/08/22,1710,
+07DA001,1,1996/08/23,1610,
+07DA001,1,1996/08/24,1490,
+07DA001,1,1996/08/25,1380,
+07DA001,1,1996/08/26,1290,
+07DA001,1,1996/08/27,1220,
+07DA001,1,1996/08/28,1140,
+07DA001,1,1996/08/29,1080,
+07DA001,1,1996/08/30,1040,
+07DA001,1,1996/08/31,1010,
+07DA001,1,1996/09/01,986,
+07DA001,1,1996/09/02,973,
+07DA001,1,1996/09/03,955,
+07DA001,1,1996/09/04,946,
+07DA001,1,1996/09/05,970,
+07DA001,1,1996/09/06,1060,
+07DA001,1,1996/09/07,1130,
+07DA001,1,1996/09/08,1100,
+07DA001,1,1996/09/09,1080,
+07DA001,1,1996/09/10,1070,
+07DA001,1,1996/09/11,1050,
+07DA001,1,1996/09/12,1030,
+07DA001,1,1996/09/13,1000,
+07DA001,1,1996/09/14,979,
+07DA001,1,1996/09/15,954,
+07DA001,1,1996/09/16,943,
+07DA001,1,1996/09/17,924,
+07DA001,1,1996/09/18,910,
+07DA001,1,1996/09/19,916,
+07DA001,1,1996/09/20,933,
+07DA001,1,1996/09/21,952,
+07DA001,1,1996/09/22,965,
+07DA001,1,1996/09/23,955,
+07DA001,1,1996/09/24,971,
+07DA001,1,1996/09/25,1060,
+07DA001,1,1996/09/26,1120,
+07DA001,1,1996/09/27,1140,
+07DA001,1,1996/09/28,1120,
+07DA001,1,1996/09/29,1100,
+07DA001,1,1996/09/30,1060,
+07DA001,1,1996/10/01,1030,
+07DA001,1,1996/10/02,997,
+07DA001,1,1996/10/03,977,
+07DA001,1,1996/10/04,970,
+07DA001,1,1996/10/05,982,
+07DA001,1,1996/10/06,987,
+07DA001,1,1996/10/07,972,
+07DA001,1,1996/10/08,955,
+07DA001,1,1996/10/09,930,
+07DA001,1,1996/10/10,912,
+07DA001,1,1996/10/11,894,
+07DA001,1,1996/10/12,892,
+07DA001,1,1996/10/13,893,
+07DA001,1,1996/10/14,862,
+07DA001,1,1996/10/15,841,
+07DA001,1,1996/10/16,842,
+07DA001,1,1996/10/17,846,
+07DA001,1,1996/10/18,836,
+07DA001,1,1996/10/19,833,
+07DA001,1,1996/10/20,829,
+07DA001,1,1996/10/21,812,
+07DA001,1,1996/10/22,795,
+07DA001,1,1996/10/23,783,
+07DA001,1,1996/10/24,767,A
+07DA001,1,1996/10/25,696,E
+07DA001,1,1996/10/26,676,E
+07DA001,1,1996/10/27,657,E
+07DA001,1,1996/10/28,632,E
+07DA001,1,1996/10/29,606,B
+07DA001,1,1996/10/30,589,B
+07DA001,1,1996/10/31,570,B
+07DA001,1,1996/11/01,557,B
+07DA001,1,1996/11/02,544,B
+07DA001,1,1996/11/03,531,B
+07DA001,1,1996/11/04,510,B
+07DA001,1,1996/11/05,489,B
+07DA001,1,1996/11/06,478,B
+07DA001,1,1996/11/07,494,B
+07DA001,1,1996/11/08,481,B
+07DA001,1,1996/11/09,470,B
+07DA001,1,1996/11/10,458,B
+07DA001,1,1996/11/11,447,B
+07DA001,1,1996/11/12,422,B
+07DA001,1,1996/11/13,393,B
+07DA001,1,1996/11/14,365,B
+07DA001,1,1996/11/15,338,B
+07DA001,1,1996/11/16,312,B
+07DA001,1,1996/11/17,289,B
+07DA001,1,1996/11/18,271,B
+07DA001,1,1996/11/19,266,B
+07DA001,1,1996/11/20,247,B
+07DA001,1,1996/11/21,239,B
+07DA001,1,1996/11/22,275,B
+07DA001,1,1996/11/23,308,B
+07DA001,1,1996/11/24,344,B
+07DA001,1,1996/11/25,314,B
+07DA001,1,1996/11/26,313,B
+07DA001,1,1996/11/27,275,B
+07DA001,1,1996/11/28,268,B
+07DA001,1,1996/11/29,261,B
+07DA001,1,1996/11/30,280,B
+07DA001,1,1996/12/01,289,B
+07DA001,1,1996/12/02,296,B
+07DA001,1,1996/12/03,303,B
+07DA001,1,1996/12/04,311,B
+07DA001,1,1996/12/05,315,B
+07DA001,1,1996/12/06,318,B
+07DA001,1,1996/12/07,314,B
+07DA001,1,1996/12/08,306,B
+07DA001,1,1996/12/09,298,B
+07DA001,1,1996/12/10,292,B
+07DA001,1,1996/12/11,284,B
+07DA001,1,1996/12/12,280,B
+07DA001,1,1996/12/13,278,B
+07DA001,1,1996/12/14,276,B
+07DA001,1,1996/12/15,278,B
+07DA001,1,1996/12/16,279,B
+07DA001,1,1996/12/17,280,B
+07DA001,1,1996/12/18,281,B
+07DA001,1,1996/12/19,281,B
+07DA001,1,1996/12/20,278,B
+07DA001,1,1996/12/21,282,B
+07DA001,1,1996/12/22,285,B
+07DA001,1,1996/12/23,277,B
+07DA001,1,1996/12/24,279,B
+07DA001,1,1996/12/25,276,B
+07DA001,1,1996/12/26,273,B
+07DA001,1,1996/12/27,271,B
+07DA001,1,1996/12/28,268,B
+07DA001,1,1996/12/29,266,B
+07DA001,1,1996/12/30,262,B
+07DA001,1,1996/12/31,258,B
+07DA001,1,1997/01/01,256,B
+07DA001,1,1997/01/02,258,B
+07DA001,1,1997/01/03,260,B
+07DA001,1,1997/01/04,263,B
+07DA001,1,1997/01/05,266,B
+07DA001,1,1997/01/06,269,B
+07DA001,1,1997/01/07,270,B
+07DA001,1,1997/01/08,272,B
+07DA001,1,1997/01/09,273,B
+07DA001,1,1997/01/10,274,B
+07DA001,1,1997/01/11,273,B
+07DA001,1,1997/01/12,272,B
+07DA001,1,1997/01/13,271,B
+07DA001,1,1997/01/14,272,B
+07DA001,1,1997/01/15,274,B
+07DA001,1,1997/01/16,269,B
+07DA001,1,1997/01/17,268,B
+07DA001,1,1997/01/18,269,B
+07DA001,1,1997/01/19,266,B
+07DA001,1,1997/01/20,263,B
+07DA001,1,1997/01/21,259,B
+07DA001,1,1997/01/22,258,B
+07DA001,1,1997/01/23,256,B
+07DA001,1,1997/01/24,254,B
+07DA001,1,1997/01/25,252,B
+07DA001,1,1997/01/26,250,B
+07DA001,1,1997/01/27,248,B
+07DA001,1,1997/01/28,245,B
+07DA001,1,1997/01/29,243,B
+07DA001,1,1997/01/30,240,B
+07DA001,1,1997/01/31,239,B
+07DA001,1,1997/02/01,237,B
+07DA001,1,1997/02/02,232,B
+07DA001,1,1997/02/03,231,B
+07DA001,1,1997/02/04,231,B
+07DA001,1,1997/02/05,231,B
+07DA001,1,1997/02/06,234,B
+07DA001,1,1997/02/07,236,B
+07DA001,1,1997/02/08,239,B
+07DA001,1,1997/02/09,240,B
+07DA001,1,1997/02/10,238,B
+07DA001,1,1997/02/11,238,B
+07DA001,1,1997/02/12,237,B
+07DA001,1,1997/02/13,236,B
+07DA001,1,1997/02/14,236,B
+07DA001,1,1997/02/15,234,B
+07DA001,1,1997/02/16,235,B
+07DA001,1,1997/02/17,234,B
+07DA001,1,1997/02/18,233,B
+07DA001,1,1997/02/19,231,B
+07DA001,1,1997/02/20,231,B
+07DA001,1,1997/02/21,231,B
+07DA001,1,1997/02/22,229,B
+07DA001,1,1997/02/23,229,B
+07DA001,1,1997/02/24,228,B
+07DA001,1,1997/02/25,230,B
+07DA001,1,1997/02/26,228,B
+07DA001,1,1997/02/27,228,B
+07DA001,1,1997/02/28,230,B
+07DA001,1,1997/03/01,231,B
+07DA001,1,1997/03/02,231,B
+07DA001,1,1997/03/03,233,B
+07DA001,1,1997/03/04,232,B
+07DA001,1,1997/03/05,230,B
+07DA001,1,1997/03/06,228,B
+07DA001,1,1997/03/07,222,B
+07DA001,1,1997/03/08,219,B
+07DA001,1,1997/03/09,216,B
+07DA001,1,1997/03/10,213,B
+07DA001,1,1997/03/11,211,B
+07DA001,1,1997/03/12,215,B
+07DA001,1,1997/03/13,220,B
+07DA001,1,1997/03/14,223,B
+07DA001,1,1997/03/15,223,B
+07DA001,1,1997/03/16,222,B
+07DA001,1,1997/03/17,222,B
+07DA001,1,1997/03/18,219,B
+07DA001,1,1997/03/19,219,B
+07DA001,1,1997/03/20,220,B
+07DA001,1,1997/03/21,218,B
+07DA001,1,1997/03/22,217,B
+07DA001,1,1997/03/23,219,B
+07DA001,1,1997/03/24,224,B
+07DA001,1,1997/03/25,228,B
+07DA001,1,1997/03/26,234,B
+07DA001,1,1997/03/27,237,B
+07DA001,1,1997/03/28,244,B
+07DA001,1,1997/03/29,255,B
+07DA001,1,1997/03/30,264,B
+07DA001,1,1997/03/31,271,B
+07DA001,1,1997/04/01,276,B
+07DA001,1,1997/04/02,281,B
+07DA001,1,1997/04/03,291,B
+07DA001,1,1997/04/04,301,B
+07DA001,1,1997/04/05,311,B
+07DA001,1,1997/04/06,333,B
+07DA001,1,1997/04/07,357,B
+07DA001,1,1997/04/08,382,B
+07DA001,1,1997/04/09,400,B
+07DA001,1,1997/04/10,410,B
+07DA001,1,1997/04/11,410,B
+07DA001,1,1997/04/12,446,B
+07DA001,1,1997/04/13,491,B
+07DA001,1,1997/04/14,539,B
+07DA001,1,1997/04/15,601,B
+07DA001,1,1997/04/16,681,B
+07DA001,1,1997/04/17,786,B
+07DA001,1,1997/04/18,910,B
+07DA001,1,1997/04/19,1070,B
+07DA001,1,1997/04/20,1180,B
+07DA001,1,1997/04/21,1430,B
+07DA001,1,1997/04/22,1580,B
+07DA001,1,1997/04/23,1790,B
+07DA001,1,1997/04/24,2080,B
+07DA001,1,1997/04/25,2350,B
+07DA001,1,1997/04/26,2260,B
+07DA001,1,1997/04/27,2170,B
+07DA001,1,1997/04/28,2230,B
+07DA001,1,1997/04/29,2290,B
+07DA001,1,1997/04/30,2230,E
+07DA001,1,1997/05/01,2160,E
+07DA001,1,1997/05/02,2100,E
+07DA001,1,1997/05/03,2020,E
+07DA001,1,1997/05/04,1940,E
+07DA001,1,1997/05/05,1890,E
+07DA001,1,1997/05/06,1850,E
+07DA001,1,1997/05/07,1830,E
+07DA001,1,1997/05/08,1810,E
+07DA001,1,1997/05/09,1780,E
+07DA001,1,1997/05/10,1720,E
+07DA001,1,1997/05/11,1670,E
+07DA001,1,1997/05/12,1630,E
+07DA001,1,1997/05/13,1570,E
+07DA001,1,1997/05/14,1520,
+07DA001,1,1997/05/15,1470,
+07DA001,1,1997/05/16,1410,
+07DA001,1,1997/05/17,1370,
+07DA001,1,1997/05/18,1360,
+07DA001,1,1997/05/19,1390,
+07DA001,1,1997/05/20,1410,
+07DA001,1,1997/05/21,1480,
+07DA001,1,1997/05/22,1580,
+07DA001,1,1997/05/23,1640,
+07DA001,1,1997/05/24,1650,
+07DA001,1,1997/05/25,1680,
+07DA001,1,1997/05/26,1690,
+07DA001,1,1997/05/27,1660,
+07DA001,1,1997/05/28,1630,
+07DA001,1,1997/05/29,1600,
+07DA001,1,1997/05/30,1580,
+07DA001,1,1997/05/31,1580,
+07DA001,1,1997/06/01,1640,
+07DA001,1,1997/06/02,1840,
+07DA001,1,1997/06/03,1970,
+07DA001,1,1997/06/04,1990,
+07DA001,1,1997/06/05,2080,
+07DA001,1,1997/06/06,2190,
+07DA001,1,1997/06/07,2140,
+07DA001,1,1997/06/08,2010,
+07DA001,1,1997/06/09,1970,
+07DA001,1,1997/06/10,2030,
+07DA001,1,1997/06/11,2020,
+07DA001,1,1997/06/12,1960,
+07DA001,1,1997/06/13,1860,
+07DA001,1,1997/06/14,1780,
+07DA001,1,1997/06/15,1700,
+07DA001,1,1997/06/16,1670,
+07DA001,1,1997/06/17,1730,
+07DA001,1,1997/06/18,1760,
+07DA001,1,1997/06/19,1800,
+07DA001,1,1997/06/20,1930,
+07DA001,1,1997/06/21,2090,
+07DA001,1,1997/06/22,2210,
+07DA001,1,1997/06/23,2210,
+07DA001,1,1997/06/24,2250,
+07DA001,1,1997/06/25,2330,
+07DA001,1,1997/06/26,2620,
+07DA001,1,1997/06/27,3460,
+07DA001,1,1997/06/28,3900,
+07DA001,1,1997/06/29,3780,
+07DA001,1,1997/06/30,3490,
+07DA001,1,1997/07/01,3210,
+07DA001,1,1997/07/02,2910,
+07DA001,1,1997/07/03,2610,
+07DA001,1,1997/07/04,2370,
+07DA001,1,1997/07/05,2190,
+07DA001,1,1997/07/06,2080,
+07DA001,1,1997/07/07,2010,
+07DA001,1,1997/07/08,1950,
+07DA001,1,1997/07/09,1880,
+07DA001,1,1997/07/10,1850,
+07DA001,1,1997/07/11,1860,
+07DA001,1,1997/07/12,1870,
+07DA001,1,1997/07/13,1800,
+07DA001,1,1997/07/14,1830,
+07DA001,1,1997/07/15,2580,
+07DA001,1,1997/07/16,3240,
+07DA001,1,1997/07/17,3340,
+07DA001,1,1997/07/18,3170,
+07DA001,1,1997/07/19,2830,
+07DA001,1,1997/07/20,2530,
+07DA001,1,1997/07/21,2300,
+07DA001,1,1997/07/22,2120,
+07DA001,1,1997/07/23,1940,
+07DA001,1,1997/07/24,1790,
+07DA001,1,1997/07/25,1680,
+07DA001,1,1997/07/26,1650,
+07DA001,1,1997/07/27,1670,
+07DA001,1,1997/07/28,1650,
+07DA001,1,1997/07/29,1570,
+07DA001,1,1997/07/30,1480,
+07DA001,1,1997/07/31,1420,
+07DA001,1,1997/08/01,1360,
+07DA001,1,1997/08/02,1300,
+07DA001,1,1997/08/03,1260,
+07DA001,1,1997/08/04,1250,
+07DA001,1,1997/08/05,1280,
+07DA001,1,1997/08/06,1280,
+07DA001,1,1997/08/07,1250,
+07DA001,1,1997/08/08,1200,
+07DA001,1,1997/08/09,1160,
+07DA001,1,1997/08/10,1140,
+07DA001,1,1997/08/11,1140,
+07DA001,1,1997/08/12,1160,
+07DA001,1,1997/08/13,1200,
+07DA001,1,1997/08/14,1200,
+07DA001,1,1997/08/15,1180,
+07DA001,1,1997/08/16,1160,
+07DA001,1,1997/08/17,1160,
+07DA001,1,1997/08/18,1170,
+07DA001,1,1997/08/19,1190,
+07DA001,1,1997/08/20,1270,
+07DA001,1,1997/08/21,1480,
+07DA001,1,1997/08/22,1440,
+07DA001,1,1997/08/23,1340,
+07DA001,1,1997/08/24,1280,
+07DA001,1,1997/08/25,1240,
+07DA001,1,1997/08/26,1190,
+07DA001,1,1997/08/27,1150,
+07DA001,1,1997/08/28,1130,
+07DA001,1,1997/08/29,1110,
+07DA001,1,1997/08/30,1090,
+07DA001,1,1997/08/31,1050,
+07DA001,1,1997/09/01,1000,
+07DA001,1,1997/09/02,972,
+07DA001,1,1997/09/03,952,
+07DA001,1,1997/09/04,929,
+07DA001,1,1997/09/05,907,
+07DA001,1,1997/09/06,898,
+07DA001,1,1997/09/07,903,
+07DA001,1,1997/09/08,919,
+07DA001,1,1997/09/09,951,
+07DA001,1,1997/09/10,986,
+07DA001,1,1997/09/11,998,
+07DA001,1,1997/09/12,1010,
+07DA001,1,1997/09/13,1060,
+07DA001,1,1997/09/14,1040,
+07DA001,1,1997/09/15,1040,
+07DA001,1,1997/09/16,1080,
+07DA001,1,1997/09/17,1120,
+07DA001,1,1997/09/18,1160,
+07DA001,1,1997/09/19,1190,
+07DA001,1,1997/09/20,1180,
+07DA001,1,1997/09/21,1180,
+07DA001,1,1997/09/22,1180,
+07DA001,1,1997/09/23,1160,
+07DA001,1,1997/09/24,1140,
+07DA001,1,1997/09/25,1100,
+07DA001,1,1997/09/26,1060,
+07DA001,1,1997/09/27,1030,
+07DA001,1,1997/09/28,1040,
+07DA001,1,1997/09/29,1090,
+07DA001,1,1997/09/30,1120,
+07DA001,1,1997/10/01,1130,
+07DA001,1,1997/10/02,1140,
+07DA001,1,1997/10/03,1130,
+07DA001,1,1997/10/04,1130,
+07DA001,1,1997/10/05,1090,
+07DA001,1,1997/10/06,1060,
+07DA001,1,1997/10/07,1160,
+07DA001,1,1997/10/08,1270,
+07DA001,1,1997/10/09,1240,
+07DA001,1,1997/10/10,1170,
+07DA001,1,1997/10/11,1110,
+07DA001,1,1997/10/12,1080,
+07DA001,1,1997/10/13,1040,
+07DA001,1,1997/10/14,1010,
+07DA001,1,1997/10/15,982,
+07DA001,1,1997/10/16,965,
+07DA001,1,1997/10/17,957,
+07DA001,1,1997/10/18,953,
+07DA001,1,1997/10/19,945,
+07DA001,1,1997/10/20,925,
+07DA001,1,1997/10/21,914,
+07DA001,1,1997/10/22,914,
+07DA001,1,1997/10/23,955,
+07DA001,1,1997/10/24,1070,
+07DA001,1,1997/10/25,1060,
+07DA001,1,1997/10/26,1020,
+07DA001,1,1997/10/27,996,
+07DA001,1,1997/10/28,982,
+07DA001,1,1997/10/29,955,
+07DA001,1,1997/10/30,929,
+07DA001,1,1997/10/31,922,
+07DA001,1,1997/11/01,910,
+07DA001,1,1997/11/02,895,
+07DA001,1,1997/11/03,888,
+07DA001,1,1997/11/04,885,
+07DA001,1,1997/11/05,876,
+07DA001,1,1997/11/06,863,
+07DA001,1,1997/11/07,835,
+07DA001,1,1997/11/08,791,
+07DA001,1,1997/11/09,750,
+07DA001,1,1997/11/10,713,
+07DA001,1,1997/11/11,684,
+07DA001,1,1997/11/12,662,
+07DA001,1,1997/11/13,640,
+07DA001,1,1997/11/14,627,
+07DA001,1,1997/11/15,624,
+07DA001,1,1997/11/16,615,B
+07DA001,1,1997/11/17,604,B
+07DA001,1,1997/11/18,567,B
+07DA001,1,1997/11/19,506,B
+07DA001,1,1997/11/20,486,B
+07DA001,1,1997/11/21,444,B
+07DA001,1,1997/11/22,466,B
+07DA001,1,1997/11/23,423,B
+07DA001,1,1997/11/24,452,B
+07DA001,1,1997/11/25,469,B
+07DA001,1,1997/11/26,478,B
+07DA001,1,1997/11/27,457,B
+07DA001,1,1997/11/28,463,B
+07DA001,1,1997/11/29,483,B
+07DA001,1,1997/11/30,503,B
+07DA001,1,1997/12/01,493,B
+07DA001,1,1997/12/02,485,B
+07DA001,1,1997/12/03,498,B
+07DA001,1,1997/12/04,489,B
+07DA001,1,1997/12/05,446,B
+07DA001,1,1997/12/06,426,B
+07DA001,1,1997/12/07,407,B
+07DA001,1,1997/12/08,378,B
+07DA001,1,1997/12/09,357,B
+07DA001,1,1997/12/10,334,B
+07DA001,1,1997/12/11,289,B
+07DA001,1,1997/12/12,281,B
+07DA001,1,1997/12/13,303,B
+07DA001,1,1997/12/14,339,B
+07DA001,1,1997/12/15,318,B
+07DA001,1,1997/12/16,300,B
+07DA001,1,1997/12/17,276,B
+07DA001,1,1997/12/18,280,B
+07DA001,1,1997/12/19,302,B
+07DA001,1,1997/12/20,292,B
+07DA001,1,1997/12/21,279,B
+07DA001,1,1997/12/22,293,B
+07DA001,1,1997/12/23,284,B
+07DA001,1,1997/12/24,327,B
+07DA001,1,1997/12/25,345,B
+07DA001,1,1997/12/26,350,B
+07DA001,1,1997/12/27,352,B
+07DA001,1,1997/12/28,357,B
+07DA001,1,1997/12/29,363,B
+07DA001,1,1997/12/30,349,B
+07DA001,1,1997/12/31,349,B
+07DA001,1,1998/01/01,343,B
+07DA001,1,1998/01/02,321,B
+07DA001,1,1998/01/03,302,B
+07DA001,1,1998/01/04,306,B
+07DA001,1,1998/01/05,298,B
+07DA001,1,1998/01/06,285,B
+07DA001,1,1998/01/07,280,B
+07DA001,1,1998/01/08,275,B
+07DA001,1,1998/01/09,276,B
+07DA001,1,1998/01/10,264,B
+07DA001,1,1998/01/11,252,B
+07DA001,1,1998/01/12,249,B
+07DA001,1,1998/01/13,243,B
+07DA001,1,1998/01/14,235,B
+07DA001,1,1998/01/15,230,B
+07DA001,1,1998/01/16,224,B
+07DA001,1,1998/01/17,220,B
+07DA001,1,1998/01/18,215,B
+07DA001,1,1998/01/19,213,B
+07DA001,1,1998/01/20,224,B
+07DA001,1,1998/01/21,238,B
+07DA001,1,1998/01/22,246,B
+07DA001,1,1998/01/23,248,B
+07DA001,1,1998/01/24,248,B
+07DA001,1,1998/01/25,244,B
+07DA001,1,1998/01/26,247,B
+07DA001,1,1998/01/27,249,B
+07DA001,1,1998/01/28,255,B
+07DA001,1,1998/01/29,260,B
+07DA001,1,1998/01/30,265,B
+07DA001,1,1998/01/31,269,B
+07DA001,1,1998/02/01,270,B
+07DA001,1,1998/02/02,271,B
+07DA001,1,1998/02/03,273,B
+07DA001,1,1998/02/04,275,B
+07DA001,1,1998/02/05,277,B
+07DA001,1,1998/02/06,278,B
+07DA001,1,1998/02/07,278,B
+07DA001,1,1998/02/08,276,B
+07DA001,1,1998/02/09,274,B
+07DA001,1,1998/02/10,275,B
+07DA001,1,1998/02/11,275,B
+07DA001,1,1998/02/12,272,B
+07DA001,1,1998/02/13,269,B
+07DA001,1,1998/02/14,267,B
+07DA001,1,1998/02/15,264,B
+07DA001,1,1998/02/16,262,B
+07DA001,1,1998/02/17,263,B
+07DA001,1,1998/02/18,263,B
+07DA001,1,1998/02/19,263,B
+07DA001,1,1998/02/20,262,B
+07DA001,1,1998/02/21,261,B
+07DA001,1,1998/02/22,260,B
+07DA001,1,1998/02/23,261,B
+07DA001,1,1998/02/24,254,B
+07DA001,1,1998/02/25,256,B
+07DA001,1,1998/02/26,254,B
+07DA001,1,1998/02/27,255,B
+07DA001,1,1998/02/28,252,B
+07DA001,1,1998/03/01,250,B
+07DA001,1,1998/03/02,247,B
+07DA001,1,1998/03/03,246,B
+07DA001,1,1998/03/04,247,B
+07DA001,1,1998/03/05,248,B
+07DA001,1,1998/03/06,246,B
+07DA001,1,1998/03/07,242,B
+07DA001,1,1998/03/08,238,B
+07DA001,1,1998/03/09,234,B
+07DA001,1,1998/03/10,232,B
+07DA001,1,1998/03/11,230,B
+07DA001,1,1998/03/12,228,B
+07DA001,1,1998/03/13,226,B
+07DA001,1,1998/03/14,223,B
+07DA001,1,1998/03/15,220,B
+07DA001,1,1998/03/16,216,B
+07DA001,1,1998/03/17,215,B
+07DA001,1,1998/03/18,223,B
+07DA001,1,1998/03/19,227,B
+07DA001,1,1998/03/20,224,B
+07DA001,1,1998/03/21,225,B
+07DA001,1,1998/03/22,233,B
+07DA001,1,1998/03/23,240,B
+07DA001,1,1998/03/24,244,B
+07DA001,1,1998/03/25,247,B
+07DA001,1,1998/03/26,252,B
+07DA001,1,1998/03/27,261,B
+07DA001,1,1998/03/28,263,B
+07DA001,1,1998/03/29,266,B
+07DA001,1,1998/03/30,273,B
+07DA001,1,1998/03/31,279,B
+07DA001,1,1998/04/01,280,B
+07DA001,1,1998/04/02,284,B
+07DA001,1,1998/04/03,293,B
+07DA001,1,1998/04/04,312,B
+07DA001,1,1998/04/05,328,B
+07DA001,1,1998/04/06,352,B
+07DA001,1,1998/04/07,387,B
+07DA001,1,1998/04/08,398,B
+07DA001,1,1998/04/09,437,B
+07DA001,1,1998/04/10,470,B
+07DA001,1,1998/04/11,530,B
+07DA001,1,1998/04/12,584,B
+07DA001,1,1998/04/13,653,B
+07DA001,1,1998/04/14,903,B
+07DA001,1,1998/04/15,1190,B
+07DA001,1,1998/04/16,1260,
+07DA001,1,1998/04/17,1110,
+07DA001,1,1998/04/18,946,
+07DA001,1,1998/04/19,809,B
+07DA001,1,1998/04/20,725,
+07DA001,1,1998/04/21,728,
+07DA001,1,1998/04/22,687,
+07DA001,1,1998/04/23,629,
+07DA001,1,1998/04/24,615,
+07DA001,1,1998/04/25,594,
+07DA001,1,1998/04/26,594,
+07DA001,1,1998/04/27,594,
+07DA001,1,1998/04/28,587,
+07DA001,1,1998/04/29,581,
+07DA001,1,1998/04/30,583,
+07DA001,1,1998/05/01,587,
+07DA001,1,1998/05/02,594,
+07DA001,1,1998/05/03,603,
+07DA001,1,1998/05/04,594,
+07DA001,1,1998/05/05,590,
+07DA001,1,1998/05/06,585,
+07DA001,1,1998/05/07,587,
+07DA001,1,1998/05/08,597,
+07DA001,1,1998/05/09,611,
+07DA001,1,1998/05/10,648,
+07DA001,1,1998/05/11,683,
+07DA001,1,1998/05/12,689,
+07DA001,1,1998/05/13,689,
+07DA001,1,1998/05/14,703,
+07DA001,1,1998/05/15,716,
+07DA001,1,1998/05/16,712,
+07DA001,1,1998/05/17,704,
+07DA001,1,1998/05/18,712,
+07DA001,1,1998/05/19,736,
+07DA001,1,1998/05/20,774,
+07DA001,1,1998/05/21,805,
+07DA001,1,1998/05/22,893,
+07DA001,1,1998/05/23,899,
+07DA001,1,1998/05/24,850,
+07DA001,1,1998/05/25,821,
+07DA001,1,1998/05/26,840,
+07DA001,1,1998/05/27,863,
+07DA001,1,1998/05/28,856,
+07DA001,1,1998/05/29,850,
+07DA001,1,1998/05/30,870,
+07DA001,1,1998/05/31,902,
+07DA001,1,1998/06/01,925,
+07DA001,1,1998/06/02,944,
+07DA001,1,1998/06/03,979,
+07DA001,1,1998/06/04,956,
+07DA001,1,1998/06/05,929,
+07DA001,1,1998/06/06,914,
+07DA001,1,1998/06/07,906,
+07DA001,1,1998/06/08,873,
+07DA001,1,1998/06/09,820,
+07DA001,1,1998/06/10,779,
+07DA001,1,1998/06/11,749,
+07DA001,1,1998/06/12,711,
+07DA001,1,1998/06/13,686,
+07DA001,1,1998/06/14,681,
+07DA001,1,1998/06/15,679,
+07DA001,1,1998/06/16,678,
+07DA001,1,1998/06/17,704,
+07DA001,1,1998/06/18,738,
+07DA001,1,1998/06/19,733,
+07DA001,1,1998/06/20,709,
+07DA001,1,1998/06/21,693,
+07DA001,1,1998/06/22,788,
+07DA001,1,1998/06/23,856,
+07DA001,1,1998/06/24,920,
+07DA001,1,1998/06/25,991,
+07DA001,1,1998/06/26,960,
+07DA001,1,1998/06/27,976,
+07DA001,1,1998/06/28,983,
+07DA001,1,1998/06/29,1010,
+07DA001,1,1998/06/30,1030,
+07DA001,1,1998/07/01,1040,
+07DA001,1,1998/07/02,1030,
+07DA001,1,1998/07/03,1080,
+07DA001,1,1998/07/04,1600,
+07DA001,1,1998/07/05,1760,
+07DA001,1,1998/07/06,1780,A
+07DA001,1,1998/07/07,1730,
+07DA001,1,1998/07/08,1550,
+07DA001,1,1998/07/09,1460,
+07DA001,1,1998/07/10,1440,
+07DA001,1,1998/07/11,1400,
+07DA001,1,1998/07/12,1390,
+07DA001,1,1998/07/13,1420,
+07DA001,1,1998/07/14,1450,
+07DA001,1,1998/07/15,1400,A
+07DA001,1,1998/07/16,1340,
+07DA001,1,1998/07/17,1320,
+07DA001,1,1998/07/18,1270,
+07DA001,1,1998/07/19,1220,
+07DA001,1,1998/07/20,1160,
+07DA001,1,1998/07/21,1140,
+07DA001,1,1998/07/22,1110,
+07DA001,1,1998/07/23,1090,
+07DA001,1,1998/07/24,1070,
+07DA001,1,1998/07/25,1040,
+07DA001,1,1998/07/26,1000,
+07DA001,1,1998/07/27,951,
+07DA001,1,1998/07/28,901,
+07DA001,1,1998/07/29,865,
+07DA001,1,1998/07/30,844,
+07DA001,1,1998/07/31,837,
+07DA001,1,1998/08/01,833,
+07DA001,1,1998/08/02,825,
+07DA001,1,1998/08/03,817,
+07DA001,1,1998/08/04,812,
+07DA001,1,1998/08/05,819,
+07DA001,1,1998/08/06,821,
+07DA001,1,1998/08/07,804,
+07DA001,1,1998/08/08,796,
+07DA001,1,1998/08/09,783,
+07DA001,1,1998/08/10,768,
+07DA001,1,1998/08/11,766,
+07DA001,1,1998/08/12,762,
+07DA001,1,1998/08/13,734,
+07DA001,1,1998/08/14,683,
+07DA001,1,1998/08/15,647,
+07DA001,1,1998/08/16,630,
+07DA001,1,1998/08/17,626,
+07DA001,1,1998/08/18,613,
+07DA001,1,1998/08/19,610,
+07DA001,1,1998/08/20,614,
+07DA001,1,1998/08/21,642,
+07DA001,1,1998/08/22,694,
+07DA001,1,1998/08/23,792,
+07DA001,1,1998/08/24,843,
+07DA001,1,1998/08/25,791,
+07DA001,1,1998/08/26,783,
+07DA001,1,1998/08/27,751,
+07DA001,1,1998/08/28,704,
+07DA001,1,1998/08/29,657,
+07DA001,1,1998/08/30,623,
+07DA001,1,1998/08/31,592,
+07DA001,1,1998/09/01,564,
+07DA001,1,1998/09/02,544,
+07DA001,1,1998/09/03,523,
+07DA001,1,1998/09/04,499,
+07DA001,1,1998/09/05,482,
+07DA001,1,1998/09/06,478,
+07DA001,1,1998/09/07,477,
+07DA001,1,1998/09/08,462,
+07DA001,1,1998/09/09,452,
+07DA001,1,1998/09/10,450,
+07DA001,1,1998/09/11,452,
+07DA001,1,1998/09/12,449,
+07DA001,1,1998/09/13,432,
+07DA001,1,1998/09/14,415,
+07DA001,1,1998/09/15,415,
+07DA001,1,1998/09/16,405,
+07DA001,1,1998/09/17,391,
+07DA001,1,1998/09/18,373,
+07DA001,1,1998/09/19,352,
+07DA001,1,1998/09/20,343,
+07DA001,1,1998/09/21,341,
+07DA001,1,1998/09/22,334,
+07DA001,1,1998/09/23,322,
+07DA001,1,1998/09/24,323,
+07DA001,1,1998/09/25,332,
+07DA001,1,1998/09/26,360,
+07DA001,1,1998/09/27,361,
+07DA001,1,1998/09/28,350,
+07DA001,1,1998/09/29,342,
+07DA001,1,1998/09/30,331,
+07DA001,1,1998/10/01,329,
+07DA001,1,1998/10/02,334,
+07DA001,1,1998/10/03,340,
+07DA001,1,1998/10/04,342,
+07DA001,1,1998/10/05,332,
+07DA001,1,1998/10/06,325,
+07DA001,1,1998/10/07,322,
+07DA001,1,1998/10/08,325,
+07DA001,1,1998/10/09,320,
+07DA001,1,1998/10/10,326,
+07DA001,1,1998/10/11,347,
+07DA001,1,1998/10/12,352,
+07DA001,1,1998/10/13,340,
+07DA001,1,1998/10/14,335,
+07DA001,1,1998/10/15,340,
+07DA001,1,1998/10/16,342,
+07DA001,1,1998/10/17,342,
+07DA001,1,1998/10/18,342,
+07DA001,1,1998/10/19,337,
+07DA001,1,1998/10/20,333,
+07DA001,1,1998/10/21,333,
+07DA001,1,1998/10/22,353,
+07DA001,1,1998/10/23,375,A
+07DA001,1,1998/10/24,376,
+07DA001,1,1998/10/25,388,
+07DA001,1,1998/10/26,392,
+07DA001,1,1998/10/27,382,
+07DA001,1,1998/10/28,377,
+07DA001,1,1998/10/29,370,
+07DA001,1,1998/10/30,363,
+07DA001,1,1998/10/31,356,
+07DA001,1,1998/11/01,325,
+07DA001,1,1998/11/02,325,
+07DA001,1,1998/11/03,317,
+07DA001,1,1998/11/04,314,
+07DA001,1,1998/11/05,307,
+07DA001,1,1998/11/06,302,
+07DA001,1,1998/11/07,296,
+07DA001,1,1998/11/08,282,
+07DA001,1,1998/11/09,276,
+07DA001,1,1998/11/10,265,
+07DA001,1,1998/11/11,254,
+07DA001,1,1998/11/12,249,B
+07DA001,1,1998/11/13,244,B
+07DA001,1,1998/11/14,239,B
+07DA001,1,1998/11/15,234,B
+07DA001,1,1998/11/16,229,B
+07DA001,1,1998/11/17,225,B
+07DA001,1,1998/11/18,220,B
+07DA001,1,1998/11/19,216,B
+07DA001,1,1998/11/20,211,B
+07DA001,1,1998/11/21,207,B
+07DA001,1,1998/11/22,203,B
+07DA001,1,1998/11/23,199,B
+07DA001,1,1998/11/24,195,B
+07DA001,1,1998/11/25,191,B
+07DA001,1,1998/11/26,187,B
+07DA001,1,1998/11/27,183,B
+07DA001,1,1998/11/28,180,B
+07DA001,1,1998/11/29,176,B
+07DA001,1,1998/11/30,172,B
+07DA001,1,1998/12/01,169,B
+07DA001,1,1998/12/02,166,B
+07DA001,1,1998/12/03,162,B
+07DA001,1,1998/12/04,159,B
+07DA001,1,1998/12/05,156,B
+07DA001,1,1998/12/06,153,B
+07DA001,1,1998/12/07,149,B
+07DA001,1,1998/12/08,146,B
+07DA001,1,1998/12/09,144,B
+07DA001,1,1998/12/10,141,B
+07DA001,1,1998/12/11,138,B
+07DA001,1,1998/12/12,135,B
+07DA001,1,1998/12/13,132,B
+07DA001,1,1998/12/14,130,B
+07DA001,1,1998/12/15,127,B
+07DA001,1,1998/12/16,125,B
+07DA001,1,1998/12/17,123,B
+07DA001,1,1998/12/18,121,B
+07DA001,1,1998/12/19,119,B
+07DA001,1,1998/12/20,117,B
+07DA001,1,1998/12/21,119,B
+07DA001,1,1998/12/22,122,B
+07DA001,1,1998/12/23,124,B
+07DA001,1,1998/12/24,122,B
+07DA001,1,1998/12/25,120,B
+07DA001,1,1998/12/26,125,B
+07DA001,1,1998/12/27,120,B
+07DA001,1,1998/12/28,115,B
+07DA001,1,1998/12/29,112,B
+07DA001,1,1998/12/30,107,B
+07DA001,1,1998/12/31,106,B
+07DA001,1,1999/01/01,104,B
+07DA001,1,1999/01/02,103,B
+07DA001,1,1999/01/03,101,B
+07DA001,1,1999/01/04,103,B
+07DA001,1,1999/01/05,105,B
+07DA001,1,1999/01/06,108,B
+07DA001,1,1999/01/07,109,B
+07DA001,1,1999/01/08,110,B
+07DA001,1,1999/01/09,111,B
+07DA001,1,1999/01/10,113,B
+07DA001,1,1999/01/11,115,B
+07DA001,1,1999/01/12,117,B
+07DA001,1,1999/01/13,118,B
+07DA001,1,1999/01/14,119,B
+07DA001,1,1999/01/15,118,B
+07DA001,1,1999/01/16,117,B
+07DA001,1,1999/01/17,119,B
+07DA001,1,1999/01/18,116,B
+07DA001,1,1999/01/19,114,B
+07DA001,1,1999/01/20,113,B
+07DA001,1,1999/01/21,112,B
+07DA001,1,1999/01/22,113,B
+07DA001,1,1999/01/23,114,B
+07DA001,1,1999/01/24,116,B
+07DA001,1,1999/01/25,119,B
+07DA001,1,1999/01/26,120,B
+07DA001,1,1999/01/27,122,B
+07DA001,1,1999/01/28,123,B
+07DA001,1,1999/01/29,124,B
+07DA001,1,1999/01/30,125,B
+07DA001,1,1999/01/31,126,B
+07DA001,1,1999/02/01,126,B
+07DA001,1,1999/02/02,125,B
+07DA001,1,1999/02/03,124,B
+07DA001,1,1999/02/04,123,B
+07DA001,1,1999/02/05,124,B
+07DA001,1,1999/02/06,125,B
+07DA001,1,1999/02/07,125,B
+07DA001,1,1999/02/08,124,B
+07DA001,1,1999/02/09,118,B
+07DA001,1,1999/02/10,120,B
+07DA001,1,1999/02/11,117,B
+07DA001,1,1999/02/12,117,B
+07DA001,1,1999/02/13,117,B
+07DA001,1,1999/02/14,116,B
+07DA001,1,1999/02/15,116,B
+07DA001,1,1999/02/16,116,B
+07DA001,1,1999/02/17,116,B
+07DA001,1,1999/02/18,115,B
+07DA001,1,1999/02/19,115,B
+07DA001,1,1999/02/20,116,B
+07DA001,1,1999/02/21,116,B
+07DA001,1,1999/02/22,116,B
+07DA001,1,1999/02/23,116,B
+07DA001,1,1999/02/24,116,B
+07DA001,1,1999/02/25,116,B
+07DA001,1,1999/02/26,116,B
+07DA001,1,1999/02/27,116,B
+07DA001,1,1999/02/28,116,B
+07DA001,1,1999/03/01,116,B
+07DA001,1,1999/03/02,116,B
+07DA001,1,1999/03/03,117,B
+07DA001,1,1999/03/04,117,B
+07DA001,1,1999/03/05,117,B
+07DA001,1,1999/03/06,118,B
+07DA001,1,1999/03/07,118,B
+07DA001,1,1999/03/08,119,B
+07DA001,1,1999/03/09,119,B
+07DA001,1,1999/03/10,120,B
+07DA001,1,1999/03/11,120,B
+07DA001,1,1999/03/12,122,B
+07DA001,1,1999/03/13,123,B
+07DA001,1,1999/03/14,125,B
+07DA001,1,1999/03/15,124,B
+07DA001,1,1999/03/16,130,B
+07DA001,1,1999/03/17,126,B
+07DA001,1,1999/03/18,125,B
+07DA001,1,1999/03/19,127,B
+07DA001,1,1999/03/20,127,B
+07DA001,1,1999/03/21,130,B
+07DA001,1,1999/03/22,131,B
+07DA001,1,1999/03/23,137,B
+07DA001,1,1999/03/24,140,B
+07DA001,1,1999/03/25,144,B
+07DA001,1,1999/03/26,148,B
+07DA001,1,1999/03/27,155,B
+07DA001,1,1999/03/28,159,B
+07DA001,1,1999/03/29,162,B
+07DA001,1,1999/03/30,164,B
+07DA001,1,1999/03/31,176,B
+07DA001,1,1999/04/01,170,B
+07DA001,1,1999/04/02,190,B
+07DA001,1,1999/04/03,199,B
+07DA001,1,1999/04/04,206,B
+07DA001,1,1999/04/05,222,B
+07DA001,1,1999/04/06,217,B
+07DA001,1,1999/04/07,217,B
+07DA001,1,1999/04/08,214,B
+07DA001,1,1999/04/09,206,B
+07DA001,1,1999/04/10,203,B
+07DA001,1,1999/04/11,211,B
+07DA001,1,1999/04/12,223,B
+07DA001,1,1999/04/13,229,B
+07DA001,1,1999/04/14,270,B
+07DA001,1,1999/04/15,337,B
+07DA001,1,1999/04/16,372,B
+07DA001,1,1999/04/17,332,B
+07DA001,1,1999/04/18,392,B
+07DA001,1,1999/04/19,414,B
+07DA001,1,1999/04/20,823,B
+07DA001,1,1999/04/21,671,B
+07DA001,1,1999/04/22,695,
+07DA001,1,1999/04/23,944,
+07DA001,1,1999/04/24,993,
+07DA001,1,1999/04/25,976,
+07DA001,1,1999/04/26,995,
+07DA001,1,1999/04/27,984,
+07DA001,1,1999/04/28,923,
+07DA001,1,1999/04/29,919,
+07DA001,1,1999/04/30,911,
+07DA001,1,1999/05/01,895,
+07DA001,1,1999/05/02,870,
+07DA001,1,1999/05/03,817,
+07DA001,1,1999/05/04,785,
+07DA001,1,1999/05/05,778,
+07DA001,1,1999/05/06,973,
+07DA001,1,1999/05/07,1170,
+07DA001,1,1999/05/08,1160,
+07DA001,1,1999/05/09,1070,
+07DA001,1,1999/05/10,961,
+07DA001,1,1999/05/11,869,
+07DA001,1,1999/05/12,802,
+07DA001,1,1999/05/13,768,
+07DA001,1,1999/05/14,752,
+07DA001,1,1999/05/15,726,
+07DA001,1,1999/05/16,704,
+07DA001,1,1999/05/17,684,
+07DA001,1,1999/05/18,661,
+07DA001,1,1999/05/19,656,
+07DA001,1,1999/05/20,682,
+07DA001,1,1999/05/21,686,
+07DA001,1,1999/05/22,688,
+07DA001,1,1999/05/23,754,
+07DA001,1,1999/05/24,862,
+07DA001,1,1999/05/25,849,
+07DA001,1,1999/05/26,802,
+07DA001,1,1999/05/27,752,
+07DA001,1,1999/05/28,708,
+07DA001,1,1999/05/29,681,
+07DA001,1,1999/05/30,692,
+07DA001,1,1999/05/31,802,
+07DA001,1,1999/06/01,855,
+07DA001,1,1999/06/02,809,
+07DA001,1,1999/06/03,754,
+07DA001,1,1999/06/04,714,
+07DA001,1,1999/06/05,665,
+07DA001,1,1999/06/06,629,
+07DA001,1,1999/06/07,603,
+07DA001,1,1999/06/08,597,
+07DA001,1,1999/06/09,611,
+07DA001,1,1999/06/10,648,
+07DA001,1,1999/06/11,702,
+07DA001,1,1999/06/12,772,
+07DA001,1,1999/06/13,748,
+07DA001,1,1999/06/14,688,
+07DA001,1,1999/06/15,636,
+07DA001,1,1999/06/16,603,
+07DA001,1,1999/06/17,575,
+07DA001,1,1999/06/18,551,
+07DA001,1,1999/06/19,565,
+07DA001,1,1999/06/20,648,
+07DA001,1,1999/06/21,911,
+07DA001,1,1999/06/22,1170,
+07DA001,1,1999/06/23,1290,
+07DA001,1,1999/06/24,1310,
+07DA001,1,1999/06/25,1240,
+07DA001,1,1999/06/26,1120,
+07DA001,1,1999/06/27,1010,
+07DA001,1,1999/06/28,928,
+07DA001,1,1999/06/29,850,
+07DA001,1,1999/06/30,796,
+07DA001,1,1999/07/01,774,
+07DA001,1,1999/07/02,765,
+07DA001,1,1999/07/03,756,
+07DA001,1,1999/07/04,755,
+07DA001,1,1999/07/05,741,
+07DA001,1,1999/07/06,734,
+07DA001,1,1999/07/07,1470,
+07DA001,1,1999/07/08,2040,
+07DA001,1,1999/07/09,1770,
+07DA001,1,1999/07/10,1580,
+07DA001,1,1999/07/11,1610,
+07DA001,1,1999/07/12,1960,
+07DA001,1,1999/07/13,1940,
+07DA001,1,1999/07/14,1750,
+07DA001,1,1999/07/15,1620,
+07DA001,1,1999/07/16,1510,
+07DA001,1,1999/07/17,1430,
+07DA001,1,1999/07/18,1380,
+07DA001,1,1999/07/19,1570,
+07DA001,1,1999/07/20,1640,
+07DA001,1,1999/07/21,1450,
+07DA001,1,1999/07/22,1320,
+07DA001,1,1999/07/23,1190,
+07DA001,1,1999/07/24,1090,
+07DA001,1,1999/07/25,1030,
+07DA001,1,1999/07/26,990,
+07DA001,1,1999/07/27,971,
+07DA001,1,1999/07/28,969,
+07DA001,1,1999/07/29,994,
+07DA001,1,1999/07/30,1000,
+07DA001,1,1999/07/31,926,
+07DA001,1,1999/08/01,838,
+07DA001,1,1999/08/02,802,
+07DA001,1,1999/08/03,848,
+07DA001,1,1999/08/04,928,
+07DA001,1,1999/08/05,886,
+07DA001,1,1999/08/06,782,
+07DA001,1,1999/08/07,703,
+07DA001,1,1999/08/08,650,
+07DA001,1,1999/08/09,631,
+07DA001,1,1999/08/10,649,
+07DA001,1,1999/08/11,702,
+07DA001,1,1999/08/12,735,
+07DA001,1,1999/08/13,756,
+07DA001,1,1999/08/14,770,
+07DA001,1,1999/08/15,746,
+07DA001,1,1999/08/16,728,
+07DA001,1,1999/08/17,732,
+07DA001,1,1999/08/18,757,
+07DA001,1,1999/08/19,762,
+07DA001,1,1999/08/20,721,
+07DA001,1,1999/08/21,690,
+07DA001,1,1999/08/22,729,
+07DA001,1,1999/08/23,702,
+07DA001,1,1999/08/24,649,
+07DA001,1,1999/08/25,623,
+07DA001,1,1999/08/26,623,
+07DA001,1,1999/08/27,609,
+07DA001,1,1999/08/28,594,
+07DA001,1,1999/08/29,562,
+07DA001,1,1999/08/30,540,
+07DA001,1,1999/08/31,552,
+07DA001,1,1999/09/01,708,
+07DA001,1,1999/09/02,682,
+07DA001,1,1999/09/03,617,
+07DA001,1,1999/09/04,582,
+07DA001,1,1999/09/05,598,
+07DA001,1,1999/09/06,656,
+07DA001,1,1999/09/07,652,
+07DA001,1,1999/09/08,614,
+07DA001,1,1999/09/09,568,
+07DA001,1,1999/09/10,538,
+07DA001,1,1999/09/11,520,
+07DA001,1,1999/09/12,505,
+07DA001,1,1999/09/13,498,
+07DA001,1,1999/09/14,484,
+07DA001,1,1999/09/15,461,
+07DA001,1,1999/09/16,441,
+07DA001,1,1999/09/17,432,
+07DA001,1,1999/09/18,424,
+07DA001,1,1999/09/19,405,
+07DA001,1,1999/09/20,389,
+07DA001,1,1999/09/21,376,
+07DA001,1,1999/09/22,368,
+07DA001,1,1999/09/23,363,
+07DA001,1,1999/09/24,357,
+07DA001,1,1999/09/25,351,
+07DA001,1,1999/09/26,347,
+07DA001,1,1999/09/27,340,
+07DA001,1,1999/09/28,342,
+07DA001,1,1999/09/29,355,
+07DA001,1,1999/09/30,354,
+07DA001,1,1999/10/01,361,
+07DA001,1,1999/10/02,361,
+07DA001,1,1999/10/03,343,
+07DA001,1,1999/10/04,332,
+07DA001,1,1999/10/05,325,
+07DA001,1,1999/10/06,314,
+07DA001,1,1999/10/07,310,A
+07DA001,1,1999/10/08,295,E
+07DA001,1,1999/10/09,292,E
+07DA001,1,1999/10/10,289,E
+07DA001,1,1999/10/11,285,E
+07DA001,1,1999/10/12,282,E
+07DA001,1,1999/10/13,279,E
+07DA001,1,1999/10/14,276,E
+07DA001,1,1999/10/15,273,E
+07DA001,1,1999/10/16,270,E
+07DA001,1,1999/10/17,267,E
+07DA001,1,1999/10/18,264,A
+07DA001,1,1999/10/19,258,A
+07DA001,1,1999/10/20,256,
+07DA001,1,1999/10/21,247,
+07DA001,1,1999/10/22,238,
+07DA001,1,1999/10/23,238,
+07DA001,1,1999/10/24,234,
+07DA001,1,1999/10/25,230,
+07DA001,1,1999/10/26,228,
+07DA001,1,1999/10/27,228,
+07DA001,1,1999/10/28,222,
+07DA001,1,1999/10/29,219,
+07DA001,1,1999/10/30,223,
+07DA001,1,1999/10/31,225,
+07DA001,1,1999/11/01,223,
+07DA001,1,1999/11/02,217,
+07DA001,1,1999/11/03,218,
+07DA001,1,1999/11/04,219,
+07DA001,1,1999/11/05,200,
+07DA001,1,1999/11/06,189,
+07DA001,1,1999/11/07,185,
+07DA001,1,1999/11/08,182,
+07DA001,1,1999/11/09,173,
+07DA001,1,1999/11/10,184,
+07DA001,1,1999/11/11,176,
+07DA001,1,1999/11/12,182,
+07DA001,1,1999/11/13,174,
+07DA001,1,1999/11/14,157,
+07DA001,1,1999/11/15,151,B
+07DA001,1,1999/11/16,152,B
+07DA001,1,1999/11/17,125,B
+07DA001,1,1999/11/18,136,B
+07DA001,1,1999/11/19,111,B
+07DA001,1,1999/11/20,116,B
+07DA001,1,1999/11/21,132,B
+07DA001,1,1999/11/22,127,B
+07DA001,1,1999/11/23,127,B
+07DA001,1,1999/11/24,123,B
+07DA001,1,1999/11/25,107,B
+07DA001,1,1999/11/26,105,B
+07DA001,1,1999/11/27,100,B
+07DA001,1,1999/11/28,95.0,B
+07DA001,1,1999/11/29,122,B
+07DA001,1,1999/11/30,127,B
+07DA001,1,1999/12/01,117,B
+07DA001,1,1999/12/02,114,B
+07DA001,1,1999/12/03,109,B
+07DA001,1,1999/12/04,118,B
+07DA001,1,1999/12/05,102,B
+07DA001,1,1999/12/06,107,B
+07DA001,1,1999/12/07,103,B
+07DA001,1,1999/12/08,97.1,B
+07DA001,1,1999/12/09,114,B
+07DA001,1,1999/12/10,124,B
+07DA001,1,1999/12/11,115,B
+07DA001,1,1999/12/12,105,B
+07DA001,1,1999/12/13,109,B
+07DA001,1,1999/12/14,107,B
+07DA001,1,1999/12/15,111,B
+07DA001,1,1999/12/16,111,B
+07DA001,1,1999/12/17,112,B
+07DA001,1,1999/12/18,113,B
+07DA001,1,1999/12/19,110,B
+07DA001,1,1999/12/20,109,B
+07DA001,1,1999/12/21,105,B
+07DA001,1,1999/12/22,104,B
+07DA001,1,1999/12/23,109,B
+07DA001,1,1999/12/24,108,B
+07DA001,1,1999/12/25,110,B
+07DA001,1,1999/12/26,108,B
+07DA001,1,1999/12/27,107,B
+07DA001,1,1999/12/28,105,B
+07DA001,1,1999/12/29,106,B
+07DA001,1,1999/12/30,122,B
+07DA001,1,1999/12/31,125,B
+07DA001,1,2000/01/01,122,B
+07DA001,1,2000/01/02,119,B
+07DA001,1,2000/01/03,113,B
+07DA001,1,2000/01/04,113,B
+07DA001,1,2000/01/05,114,B
+07DA001,1,2000/01/06,113,B
+07DA001,1,2000/01/07,111,B
+07DA001,1,2000/01/08,112,B
+07DA001,1,2000/01/09,116,B
+07DA001,1,2000/01/10,114,B
+07DA001,1,2000/01/11,106,B
+07DA001,1,2000/01/12,101,B
+07DA001,1,2000/01/13,99.0,B
+07DA001,1,2000/01/14,95.9,B
+07DA001,1,2000/01/15,91.4,B
+07DA001,1,2000/01/16,89.0,B
+07DA001,1,2000/01/17,90.0,B
+07DA001,1,2000/01/18,92.7,B
+07DA001,1,2000/01/19,97.9,B
+07DA001,1,2000/01/20,106,B
+07DA001,1,2000/01/21,109,B
+07DA001,1,2000/01/22,109,B
+07DA001,1,2000/01/23,108,B
+07DA001,1,2000/01/24,106,B
+07DA001,1,2000/01/25,103,B
+07DA001,1,2000/01/26,101,B
+07DA001,1,2000/01/27,99.0,B
+07DA001,1,2000/01/28,97.6,B
+07DA001,1,2000/01/29,96.1,B
+07DA001,1,2000/01/30,96.3,B
+07DA001,1,2000/01/31,98.5,B
+07DA001,1,2000/02/01,106,B
+07DA001,1,2000/02/02,112,B
+07DA001,1,2000/02/03,115,B
+07DA001,1,2000/02/04,115,B
+07DA001,1,2000/02/05,116,B
+07DA001,1,2000/02/06,117,B
+07DA001,1,2000/02/07,117,B
+07DA001,1,2000/02/08,116,B
+07DA001,1,2000/02/09,116,B
+07DA001,1,2000/02/10,116,B
+07DA001,1,2000/02/11,116,B
+07DA001,1,2000/02/12,116,B
+07DA001,1,2000/02/13,115,B
+07DA001,1,2000/02/14,113,B
+07DA001,1,2000/02/15,113,B
+07DA001,1,2000/02/16,112,B
+07DA001,1,2000/02/17,111,B
+07DA001,1,2000/02/18,111,B
+07DA001,1,2000/02/19,110,B
+07DA001,1,2000/02/20,109,B
+07DA001,1,2000/02/21,111,B
+07DA001,1,2000/02/22,111,B
+07DA001,1,2000/02/23,110,B
+07DA001,1,2000/02/24,111,B
+07DA001,1,2000/02/25,110,B
+07DA001,1,2000/02/26,110,B
+07DA001,1,2000/02/27,112,B
+07DA001,1,2000/02/28,113,B
+07DA001,1,2000/02/29,114,B
+07DA001,1,2000/03/01,114,B
+07DA001,1,2000/03/02,114,B
+07DA001,1,2000/03/03,115,B
+07DA001,1,2000/03/04,116,B
+07DA001,1,2000/03/05,118,B
+07DA001,1,2000/03/06,119,B
+07DA001,1,2000/03/07,120,B
+07DA001,1,2000/03/08,122,B
+07DA001,1,2000/03/09,121,B
+07DA001,1,2000/03/10,117,B
+07DA001,1,2000/03/11,114,B
+07DA001,1,2000/03/12,111,B
+07DA001,1,2000/03/13,109,B
+07DA001,1,2000/03/14,110,B
+07DA001,1,2000/03/15,108,B
+07DA001,1,2000/03/16,107,B
+07DA001,1,2000/03/17,105,B
+07DA001,1,2000/03/18,102,B
+07DA001,1,2000/03/19,103,B
+07DA001,1,2000/03/20,103,B
+07DA001,1,2000/03/21,103,B
+07DA001,1,2000/03/22,103,B
+07DA001,1,2000/03/23,104,B
+07DA001,1,2000/03/24,106,B
+07DA001,1,2000/03/25,107,B
+07DA001,1,2000/03/26,107,B
+07DA001,1,2000/03/27,110,B
+07DA001,1,2000/03/28,112,B
+07DA001,1,2000/03/29,115,B
+07DA001,1,2000/03/30,117,B
+07DA001,1,2000/03/31,122,B
+07DA001,1,2000/04/01,130,B
+07DA001,1,2000/04/02,131,B
+07DA001,1,2000/04/03,131,B
+07DA001,1,2000/04/04,136,B
+07DA001,1,2000/04/05,146,B
+07DA001,1,2000/04/06,147,B
+07DA001,1,2000/04/07,152,B
+07DA001,1,2000/04/08,156,B
+07DA001,1,2000/04/09,161,B
+07DA001,1,2000/04/10,167,B
+07DA001,1,2000/04/11,170,B
+07DA001,1,2000/04/12,172,B
+07DA001,1,2000/04/13,169,B
+07DA001,1,2000/04/14,173,B
+07DA001,1,2000/04/15,176,B
+07DA001,1,2000/04/16,172,B
+07DA001,1,2000/04/17,166,B
+07DA001,1,2000/04/18,174,B
+07DA001,1,2000/04/19,181,B
+07DA001,1,2000/04/20,193,B
+07DA001,1,2000/04/21,203,B
+07DA001,1,2000/04/22,212,B
+07DA001,1,2000/04/23,250,B
+07DA001,1,2000/04/24,292,E
+07DA001,1,2000/04/25,344,E
+07DA001,1,2000/04/26,480,E
+07DA001,1,2000/04/27,500,E
+07DA001,1,2000/04/28,470,E
+07DA001,1,2000/04/29,430,E
+07DA001,1,2000/04/30,406,E
+07DA001,1,2000/05/01,380,A
+07DA001,1,2000/05/02,356,A
+07DA001,1,2000/05/03,337,
+07DA001,1,2000/05/04,324,
+07DA001,1,2000/05/05,324,
+07DA001,1,2000/05/06,330,
+07DA001,1,2000/05/07,337,
+07DA001,1,2000/05/08,341,
+07DA001,1,2000/05/09,343,
+07DA001,1,2000/05/10,393,
+07DA001,1,2000/05/11,440,
+07DA001,1,2000/05/12,427,
+07DA001,1,2000/05/13,408,
+07DA001,1,2000/05/14,391,
+07DA001,1,2000/05/15,399,
+07DA001,1,2000/05/16,450,
+07DA001,1,2000/05/17,561,
+07DA001,1,2000/05/18,578,
+07DA001,1,2000/05/19,586,
+07DA001,1,2000/05/20,597,
+07DA001,1,2000/05/21,594,
+07DA001,1,2000/05/22,611,
+07DA001,1,2000/05/23,625,
+07DA001,1,2000/05/24,640,
+07DA001,1,2000/05/25,640,
+07DA001,1,2000/05/26,632,
+07DA001,1,2000/05/27,618,
+07DA001,1,2000/05/28,598,
+07DA001,1,2000/05/29,610,
+07DA001,1,2000/05/30,596,
+07DA001,1,2000/05/31,554,
+07DA001,1,2000/06/01,526,
+07DA001,1,2000/06/02,508,
+07DA001,1,2000/06/03,508,
+07DA001,1,2000/06/04,545,
+07DA001,1,2000/06/05,559,
+07DA001,1,2000/06/06,536,
+07DA001,1,2000/06/07,521,
+07DA001,1,2000/06/08,508,
+07DA001,1,2000/06/09,514,
+07DA001,1,2000/06/10,548,
+07DA001,1,2000/06/11,639,
+07DA001,1,2000/06/12,779,
+07DA001,1,2000/06/13,919,
+07DA001,1,2000/06/14,1050,
+07DA001,1,2000/06/15,1370,
+07DA001,1,2000/06/16,1550,
+07DA001,1,2000/06/17,1460,
+07DA001,1,2000/06/18,1310,
+07DA001,1,2000/06/19,1230,
+07DA001,1,2000/06/20,1210,
+07DA001,1,2000/06/21,1200,
+07DA001,1,2000/06/22,1140,
+07DA001,1,2000/06/23,1110,
+07DA001,1,2000/06/24,1130,
+07DA001,1,2000/06/25,1120,
+07DA001,1,2000/06/26,1040,
+07DA001,1,2000/06/27,960,
+07DA001,1,2000/06/28,928,
+07DA001,1,2000/06/29,883,
+07DA001,1,2000/06/30,862,
+07DA001,1,2000/07/01,866,
+07DA001,1,2000/07/02,886,
+07DA001,1,2000/07/03,944,
+07DA001,1,2000/07/04,1030,
+07DA001,1,2000/07/05,1170,
+07DA001,1,2000/07/06,1250,
+07DA001,1,2000/07/07,1310,
+07DA001,1,2000/07/08,1300,
+07DA001,1,2000/07/09,1200,
+07DA001,1,2000/07/10,1150,
+07DA001,1,2000/07/11,1180,
+07DA001,1,2000/07/12,1220,
+07DA001,1,2000/07/13,1230,
+07DA001,1,2000/07/14,1310,
+07DA001,1,2000/07/15,1500,
+07DA001,1,2000/07/16,1550,
+07DA001,1,2000/07/17,1480,
+07DA001,1,2000/07/18,1450,
+07DA001,1,2000/07/19,1420,
+07DA001,1,2000/07/20,1360,
+07DA001,1,2000/07/21,1270,
+07DA001,1,2000/07/22,1190,
+07DA001,1,2000/07/23,1150,
+07DA001,1,2000/07/24,1140,
+07DA001,1,2000/07/25,1130,
+07DA001,1,2000/07/26,1210,
+07DA001,1,2000/07/27,1540,
+07DA001,1,2000/07/28,1780,
+07DA001,1,2000/07/29,1740,
+07DA001,1,2000/07/30,1560,
+07DA001,1,2000/07/31,1440,
+07DA001,1,2000/08/01,1310,
+07DA001,1,2000/08/02,1210,
+07DA001,1,2000/08/03,1180,
+07DA001,1,2000/08/04,1150,
+07DA001,1,2000/08/05,1080,
+07DA001,1,2000/08/06,1030,
+07DA001,1,2000/08/07,1020,
+07DA001,1,2000/08/08,972,
+07DA001,1,2000/08/09,907,
+07DA001,1,2000/08/10,862,
+07DA001,1,2000/08/11,840,
+07DA001,1,2000/08/12,858,
+07DA001,1,2000/08/13,875,
+07DA001,1,2000/08/14,855,
+07DA001,1,2000/08/15,830,
+07DA001,1,2000/08/16,839,
+07DA001,1,2000/08/17,848,
+07DA001,1,2000/08/18,815,
+07DA001,1,2000/08/19,769,
+07DA001,1,2000/08/20,728,
+07DA001,1,2000/08/21,679,
+07DA001,1,2000/08/22,640,
+07DA001,1,2000/08/23,612,
+07DA001,1,2000/08/24,586,
+07DA001,1,2000/08/25,568,
+07DA001,1,2000/08/26,574,
+07DA001,1,2000/08/27,576,
+07DA001,1,2000/08/28,569,
+07DA001,1,2000/08/29,551,
+07DA001,1,2000/08/30,537,
+07DA001,1,2000/08/31,559,
+07DA001,1,2000/09/01,583,
+07DA001,1,2000/09/02,593,
+07DA001,1,2000/09/03,596,
+07DA001,1,2000/09/04,571,
+07DA001,1,2000/09/05,561,
+07DA001,1,2000/09/06,582,
+07DA001,1,2000/09/07,684,
+07DA001,1,2000/09/08,894,
+07DA001,1,2000/09/09,959,
+07DA001,1,2000/09/10,899,
+07DA001,1,2000/09/11,818,
+07DA001,1,2000/09/12,759,
+07DA001,1,2000/09/13,710,
+07DA001,1,2000/09/14,671,
+07DA001,1,2000/09/15,658,
+07DA001,1,2000/09/16,635,
+07DA001,1,2000/09/17,604,
+07DA001,1,2000/09/18,576,
+07DA001,1,2000/09/19,550,
+07DA001,1,2000/09/20,528,
+07DA001,1,2000/09/21,509,
+07DA001,1,2000/09/22,497,
+07DA001,1,2000/09/23,510,
+07DA001,1,2000/09/24,522,
+07DA001,1,2000/09/25,554,
+07DA001,1,2000/09/26,552,
+07DA001,1,2000/09/27,525,
+07DA001,1,2000/09/28,503,
+07DA001,1,2000/09/29,479,
+07DA001,1,2000/09/30,465,
+07DA001,1,2000/10/01,458,
+07DA001,1,2000/10/02,449,
+07DA001,1,2000/10/03,438,
+07DA001,1,2000/10/04,432,
+07DA001,1,2000/10/05,428,
+07DA001,1,2000/10/06,415,
+07DA001,1,2000/10/07,411,
+07DA001,1,2000/10/08,420,
+07DA001,1,2000/10/09,421,
+07DA001,1,2000/10/10,407,
+07DA001,1,2000/10/11,390,
+07DA001,1,2000/10/12,377,
+07DA001,1,2000/10/13,370,
+07DA001,1,2000/10/14,366,
+07DA001,1,2000/10/15,365,
+07DA001,1,2000/10/16,362,
+07DA001,1,2000/10/17,358,
+07DA001,1,2000/10/18,355,
+07DA001,1,2000/10/19,354,
+07DA001,1,2000/10/20,348,
+07DA001,1,2000/10/21,351,
+07DA001,1,2000/10/22,351,
+07DA001,1,2000/10/23,351,
+07DA001,1,2000/10/24,349,
+07DA001,1,2000/10/25,342,
+07DA001,1,2000/10/26,335,
+07DA001,1,2000/10/27,336,
+07DA001,1,2000/10/28,337,
+07DA001,1,2000/10/29,331,
+07DA001,1,2000/10/30,328,
+07DA001,1,2000/10/31,319,
+07DA001,1,2000/11/01,314,
+07DA001,1,2000/11/02,312,
+07DA001,1,2000/11/03,308,
+07DA001,1,2000/11/04,319,
+07DA001,1,2000/11/05,310,
+07DA001,1,2000/11/06,292,
+07DA001,1,2000/11/07,276,
+07DA001,1,2000/11/08,247,
+07DA001,1,2000/11/09,221,B
+07DA001,1,2000/11/10,229,B
+07DA001,1,2000/11/11,208,B
+07DA001,1,2000/11/12,174,B
+07DA001,1,2000/11/13,172,B
+07DA001,1,2000/11/14,153,B
+07DA001,1,2000/11/15,163,B
+07DA001,1,2000/11/16,131,B
+07DA001,1,2000/11/17,142,B
+07DA001,1,2000/11/18,148,B
+07DA001,1,2000/11/19,132,B
+07DA001,1,2000/11/20,140,B
+07DA001,1,2000/11/21,138,B
+07DA001,1,2000/11/22,158,B
+07DA001,1,2000/11/23,133,B
+07DA001,1,2000/11/24,146,B
+07DA001,1,2000/11/25,139,B
+07DA001,1,2000/11/26,134,B
+07DA001,1,2000/11/27,163,B
+07DA001,1,2000/11/28,171,B
+07DA001,1,2000/11/29,171,B
+07DA001,1,2000/11/30,161,B
+07DA001,1,2000/12/01,152,B
+07DA001,1,2000/12/02,152,B
+07DA001,1,2000/12/03,148,B
+07DA001,1,2000/12/04,140,B
+07DA001,1,2000/12/05,124,B
+07DA001,1,2000/12/06,128,B
+07DA001,1,2000/12/07,140,B
+07DA001,1,2000/12/08,141,B
+07DA001,1,2000/12/09,129,B
+07DA001,1,2000/12/10,125,B
+07DA001,1,2000/12/11,117,B
+07DA001,1,2000/12/12,120,B
+07DA001,1,2000/12/13,123,B
+07DA001,1,2000/12/14,135,B
+07DA001,1,2000/12/15,157,B
+07DA001,1,2000/12/16,160,B
+07DA001,1,2000/12/17,153,B
+07DA001,1,2000/12/18,140,B
+07DA001,1,2000/12/19,137,B
+07DA001,1,2000/12/20,134,B
+07DA001,1,2000/12/21,126,B
+07DA001,1,2000/12/22,119,B
+07DA001,1,2000/12/23,111,B
+07DA001,1,2000/12/24,103,B
+07DA001,1,2000/12/25,98.8,B
+07DA001,1,2000/12/26,97.6,B
+07DA001,1,2000/12/27,95.0,B
+07DA001,1,2000/12/28,93.7,B
+07DA001,1,2000/12/29,108,B
+07DA001,1,2000/12/30,112,B
+07DA001,1,2000/12/31,117,B
+07DA001,1,2001/01/01,123,B
+07DA001,1,2001/01/02,131,B
+07DA001,1,2001/01/03,136,B
+07DA001,1,2001/01/04,140,B
+07DA001,1,2001/01/05,140,B
+07DA001,1,2001/01/06,143,B
+07DA001,1,2001/01/07,143,B
+07DA001,1,2001/01/08,147,B
+07DA001,1,2001/01/09,147,B
+07DA001,1,2001/01/10,148,B
+07DA001,1,2001/01/11,147,B
+07DA001,1,2001/01/12,149,B
+07DA001,1,2001/01/13,148,B
+07DA001,1,2001/01/14,148,B
+07DA001,1,2001/01/15,149,B
+07DA001,1,2001/01/16,148,B
+07DA001,1,2001/01/17,147,B
+07DA001,1,2001/01/18,144,B
+07DA001,1,2001/01/19,141,B
+07DA001,1,2001/01/20,137,B
+07DA001,1,2001/01/21,134,B
+07DA001,1,2001/01/22,134,B
+07DA001,1,2001/01/23,135,B
+07DA001,1,2001/01/24,133,B
+07DA001,1,2001/01/25,131,B
+07DA001,1,2001/01/26,128,B
+07DA001,1,2001/01/27,125,B
+07DA001,1,2001/01/28,122,B
+07DA001,1,2001/01/29,123,B
+07DA001,1,2001/01/30,120,B
+07DA001,1,2001/01/31,117,B
+07DA001,1,2001/02/01,114,B
+07DA001,1,2001/02/02,114,B
+07DA001,1,2001/02/03,115,B
+07DA001,1,2001/02/04,115,B
+07DA001,1,2001/02/05,108,B
+07DA001,1,2001/02/06,107,B
+07DA001,1,2001/02/07,109,B
+07DA001,1,2001/02/08,110,B
+07DA001,1,2001/02/09,111,B
+07DA001,1,2001/02/10,109,B
+07DA001,1,2001/02/11,107,B
+07DA001,1,2001/02/12,105,B
+07DA001,1,2001/02/13,104,B
+07DA001,1,2001/02/14,110,B
+07DA001,1,2001/02/15,112,B
+07DA001,1,2001/02/16,110,B
+07DA001,1,2001/02/17,109,B
+07DA001,1,2001/02/18,108,B
+07DA001,1,2001/02/19,107,B
+07DA001,1,2001/02/20,105,B
+07DA001,1,2001/02/21,103,B
+07DA001,1,2001/02/22,102,B
+07DA001,1,2001/02/23,102,B
+07DA001,1,2001/02/24,104,B
+07DA001,1,2001/02/25,105,B
+07DA001,1,2001/02/26,104,B
+07DA001,1,2001/02/27,104,B
+07DA001,1,2001/02/28,103,B
+07DA001,1,2001/03/01,102,B
+07DA001,1,2001/03/02,102,B
+07DA001,1,2001/03/03,103,B
+07DA001,1,2001/03/04,106,B
+07DA001,1,2001/03/05,108,B
+07DA001,1,2001/03/06,110,B
+07DA001,1,2001/03/07,111,B
+07DA001,1,2001/03/08,111,B
+07DA001,1,2001/03/09,110,B
+07DA001,1,2001/03/10,111,B
+07DA001,1,2001/03/11,113,B
+07DA001,1,2001/03/12,117,B
+07DA001,1,2001/03/13,118,B
+07DA001,1,2001/03/14,119,B
+07DA001,1,2001/03/15,119,B
+07DA001,1,2001/03/16,120,B
+07DA001,1,2001/03/17,123,B
+07DA001,1,2001/03/18,126,B
+07DA001,1,2001/03/19,125,B
+07DA001,1,2001/03/20,125,B
+07DA001,1,2001/03/21,126,B
+07DA001,1,2001/03/22,126,B
+07DA001,1,2001/03/23,127,B
+07DA001,1,2001/03/24,127,B
+07DA001,1,2001/03/25,128,B
+07DA001,1,2001/03/26,129,B
+07DA001,1,2001/03/27,130,B
+07DA001,1,2001/03/28,132,B
+07DA001,1,2001/03/29,135,B
+07DA001,1,2001/03/30,131,B
+07DA001,1,2001/03/31,131,B
+07DA001,1,2001/04/01,131,B
+07DA001,1,2001/04/02,137,B
+07DA001,1,2001/04/03,142,B
+07DA001,1,2001/04/04,144,B
+07DA001,1,2001/04/05,147,B
+07DA001,1,2001/04/06,148,B
+07DA001,1,2001/04/07,149,B
+07DA001,1,2001/04/08,152,B
+07DA001,1,2001/04/09,156,B
+07DA001,1,2001/04/10,159,B
+07DA001,1,2001/04/11,162,B
+07DA001,1,2001/04/12,168,B
+07DA001,1,2001/04/13,173,B
+07DA001,1,2001/04/14,174,B
+07DA001,1,2001/04/15,172,B
+07DA001,1,2001/04/16,171,B
+07DA001,1,2001/04/17,173,B
+07DA001,1,2001/04/18,173,B
+07DA001,1,2001/04/19,177,B
+07DA001,1,2001/04/20,182,B
+07DA001,1,2001/04/21,190,B
+07DA001,1,2001/04/22,203,B
+07DA001,1,2001/04/23,211,B
+07DA001,1,2001/04/24,216,B
+07DA001,1,2001/04/25,250,B
+07DA001,1,2001/04/26,256,B
+07DA001,1,2001/04/27,274,B
+07DA001,1,2001/04/28,285,E
+07DA001,1,2001/04/29,324,E
+07DA001,1,2001/04/30,402,E
+07DA001,1,2001/05/01,416,E
+07DA001,1,2001/05/02,421,E
+07DA001,1,2001/05/03,457,E
+07DA001,1,2001/05/04,510,E
+07DA001,1,2001/05/05,515,E
+07DA001,1,2001/05/06,520,E
+07DA001,1,2001/05/07,515,E
+07DA001,1,2001/05/08,509,A
+07DA001,1,2001/05/09,491,
+07DA001,1,2001/05/10,467,
+07DA001,1,2001/05/11,450,
+07DA001,1,2001/05/12,433,
+07DA001,1,2001/05/13,418,
+07DA001,1,2001/05/14,406,
+07DA001,1,2001/05/15,400,
+07DA001,1,2001/05/16,409,
+07DA001,1,2001/05/17,419,
+07DA001,1,2001/05/18,420,
+07DA001,1,2001/05/19,417,
+07DA001,1,2001/05/20,415,
+07DA001,1,2001/05/21,409,
+07DA001,1,2001/05/22,422,
+07DA001,1,2001/05/23,448,
+07DA001,1,2001/05/24,432,
+07DA001,1,2001/05/25,417,
+07DA001,1,2001/05/26,400,
+07DA001,1,2001/05/27,381,
+07DA001,1,2001/05/28,365,
+07DA001,1,2001/05/29,354,
+07DA001,1,2001/05/30,345,
+07DA001,1,2001/05/31,423,
+07DA001,1,2001/06/01,675,
+07DA001,1,2001/06/02,741,
+07DA001,1,2001/06/03,855,
+07DA001,1,2001/06/04,941,
+07DA001,1,2001/06/05,854,
+07DA001,1,2001/06/06,731,
+07DA001,1,2001/06/07,652,
+07DA001,1,2001/06/08,694,
+07DA001,1,2001/06/09,745,
+07DA001,1,2001/06/10,672,
+07DA001,1,2001/06/11,633,
+07DA001,1,2001/06/12,655,
+07DA001,1,2001/06/13,712,
+07DA001,1,2001/06/14,729,
+07DA001,1,2001/06/15,737,
+07DA001,1,2001/06/16,738,
+07DA001,1,2001/06/17,714,
+07DA001,1,2001/06/18,666,
+07DA001,1,2001/06/19,628,
+07DA001,1,2001/06/20,624,
+07DA001,1,2001/06/21,649,
+07DA001,1,2001/06/22,662,
+07DA001,1,2001/06/23,683,
+07DA001,1,2001/06/24,691,
+07DA001,1,2001/06/25,682,
+07DA001,1,2001/06/26,657,
+07DA001,1,2001/06/27,693,
+07DA001,1,2001/06/28,839,
+07DA001,1,2001/06/29,961,
+07DA001,1,2001/06/30,1020,
+07DA001,1,2001/07/01,1020,
+07DA001,1,2001/07/02,1020,
+07DA001,1,2001/07/03,1010,
+07DA001,1,2001/07/04,971,
+07DA001,1,2001/07/05,972,
+07DA001,1,2001/07/06,968,
+07DA001,1,2001/07/07,943,
+07DA001,1,2001/07/08,896,
+07DA001,1,2001/07/09,843,
+07DA001,1,2001/07/10,797,
+07DA001,1,2001/07/11,798,
+07DA001,1,2001/07/12,787,
+07DA001,1,2001/07/13,734,
+07DA001,1,2001/07/14,680,
+07DA001,1,2001/07/15,678,
+07DA001,1,2001/07/16,687,
+07DA001,1,2001/07/17,699,
+07DA001,1,2001/07/18,721,
+07DA001,1,2001/07/19,716,
+07DA001,1,2001/07/20,721,
+07DA001,1,2001/07/21,741,
+07DA001,1,2001/07/22,905,
+07DA001,1,2001/07/23,1450,
+07DA001,1,2001/07/24,1670,
+07DA001,1,2001/07/25,1790,
+07DA001,1,2001/07/26,1750,
+07DA001,1,2001/07/27,1630,
+07DA001,1,2001/07/28,2040,
+07DA001,1,2001/07/29,2850,
+07DA001,1,2001/07/30,2820,
+07DA001,1,2001/07/31,2520,
+07DA001,1,2001/08/01,2570,
+07DA001,1,2001/08/02,2930,
+07DA001,1,2001/08/03,2810,
+07DA001,1,2001/08/04,2470,
+07DA001,1,2001/08/05,2170,
+07DA001,1,2001/08/06,1910,
+07DA001,1,2001/08/07,1710,
+07DA001,1,2001/08/08,1560,
+07DA001,1,2001/08/09,1470,
+07DA001,1,2001/08/10,1380,
+07DA001,1,2001/08/11,1250,
+07DA001,1,2001/08/12,1170,
+07DA001,1,2001/08/13,1110,
+07DA001,1,2001/08/14,1020,
+07DA001,1,2001/08/15,934,
+07DA001,1,2001/08/16,866,
+07DA001,1,2001/08/17,804,
+07DA001,1,2001/08/18,762,
+07DA001,1,2001/08/19,746,
+07DA001,1,2001/08/20,766,
+07DA001,1,2001/08/21,760,
+07DA001,1,2001/08/22,725,
+07DA001,1,2001/08/23,703,
+07DA001,1,2001/08/24,683,
+07DA001,1,2001/08/25,665,
+07DA001,1,2001/08/26,633,
+07DA001,1,2001/08/27,593,
+07DA001,1,2001/08/28,556,
+07DA001,1,2001/08/29,534,
+07DA001,1,2001/08/30,522,
+07DA001,1,2001/08/31,524,
+07DA001,1,2001/09/01,503,
+07DA001,1,2001/09/02,478,
+07DA001,1,2001/09/03,457,
+07DA001,1,2001/09/04,458,
+07DA001,1,2001/09/05,462,
+07DA001,1,2001/09/06,454,
+07DA001,1,2001/09/07,448,
+07DA001,1,2001/09/08,449,
+07DA001,1,2001/09/09,455,
+07DA001,1,2001/09/10,438,
+07DA001,1,2001/09/11,414,
+07DA001,1,2001/09/12,403,
+07DA001,1,2001/09/13,390,
+07DA001,1,2001/09/14,377,
+07DA001,1,2001/09/15,363,
+07DA001,1,2001/09/16,349,
+07DA001,1,2001/09/17,338,
+07DA001,1,2001/09/18,330,
+07DA001,1,2001/09/19,331,
+07DA001,1,2001/09/20,323,
+07DA001,1,2001/09/21,315,
+07DA001,1,2001/09/22,310,
+07DA001,1,2001/09/23,309,
+07DA001,1,2001/09/24,321,
+07DA001,1,2001/09/25,327,
+07DA001,1,2001/09/26,336,
+07DA001,1,2001/09/27,339,
+07DA001,1,2001/09/28,336,
+07DA001,1,2001/09/29,324,
+07DA001,1,2001/09/30,313,
+07DA001,1,2001/10/01,301,
+07DA001,1,2001/10/02,305,
+07DA001,1,2001/10/03,318,
+07DA001,1,2001/10/04,324,
+07DA001,1,2001/10/05,344,
+07DA001,1,2001/10/06,341,
+07DA001,1,2001/10/07,321,
+07DA001,1,2001/10/08,303,
+07DA001,1,2001/10/09,295,
+07DA001,1,2001/10/10,288,
+07DA001,1,2001/10/11,285,
+07DA001,1,2001/10/12,282,
+07DA001,1,2001/10/13,277,
+07DA001,1,2001/10/14,275,
+07DA001,1,2001/10/15,271,
+07DA001,1,2001/10/16,270,
+07DA001,1,2001/10/17,272,
+07DA001,1,2001/10/18,270,
+07DA001,1,2001/10/19,267,
+07DA001,1,2001/10/20,264,
+07DA001,1,2001/10/21,255,
+07DA001,1,2001/10/22,251,
+07DA001,1,2001/10/23,252,
+07DA001,1,2001/10/24,247,
+07DA001,1,2001/10/25,245,
+07DA001,1,2001/10/26,251,
+07DA001,1,2001/10/27,247,
+07DA001,1,2001/10/28,239,
+07DA001,1,2001/10/29,235,
+07DA001,1,2001/10/30,239,
+07DA001,1,2001/10/31,246,
+07DA001,1,2001/11/01,248,
+07DA001,1,2001/11/02,245,
+07DA001,1,2001/11/03,232,
+07DA001,1,2001/11/04,233,
+07DA001,1,2001/11/05,235,
+07DA001,1,2001/11/06,224,
+07DA001,1,2001/11/07,223,
+07DA001,1,2001/11/08,216,
+07DA001,1,2001/11/09,228,
+07DA001,1,2001/11/10,246,
+07DA001,1,2001/11/11,256,
+07DA001,1,2001/11/12,240,
+07DA001,1,2001/11/13,222,
+07DA001,1,2001/11/14,224,
+07DA001,1,2001/11/15,244,
+07DA001,1,2001/11/16,237,
+07DA001,1,2001/11/17,224,
+07DA001,1,2001/11/18,212,
+07DA001,1,2001/11/19,186,B
+07DA001,1,2001/11/20,201,B
+07DA001,1,2001/11/21,209,B
+07DA001,1,2001/11/22,195,B
+07DA001,1,2001/11/23,206,B
+07DA001,1,2001/11/24,188,B
+07DA001,1,2001/11/25,151,B
+07DA001,1,2001/11/26,138,B
+07DA001,1,2001/11/27,122,B
+07DA001,1,2001/11/28,110,B
+07DA001,1,2001/11/29,95.0,B
+07DA001,1,2001/11/30,84.0,B
+07DA001,1,2001/12/01,76.0,B
+07DA001,1,2001/12/02,75.0,B
+07DA001,1,2001/12/03,77.0,B
+07DA001,1,2001/12/04,80.0,B
+07DA001,1,2001/12/05,85.0,B
+07DA001,1,2001/12/06,90.0,B
+07DA001,1,2001/12/07,95.0,B
+07DA001,1,2001/12/08,97.0,B
+07DA001,1,2001/12/09,95.0,B
+07DA001,1,2001/12/10,90.0,B
+07DA001,1,2001/12/11,87.0,B
+07DA001,1,2001/12/12,85.0,B
+07DA001,1,2001/12/13,90.0,B
+07DA001,1,2001/12/14,95.0,B
+07DA001,1,2001/12/15,96.0,B
+07DA001,1,2001/12/16,98.0,B
+07DA001,1,2001/12/17,103,B
+07DA001,1,2001/12/18,117,B
+07DA001,1,2001/12/19,137,B
+07DA001,1,2001/12/20,142,B
+07DA001,1,2001/12/21,139,B
+07DA001,1,2001/12/22,135,B
+07DA001,1,2001/12/23,133,B
+07DA001,1,2001/12/24,131,B
+07DA001,1,2001/12/25,130,B
+07DA001,1,2001/12/26,130,B
+07DA001,1,2001/12/27,127,B
+07DA001,1,2001/12/28,128,B
+07DA001,1,2001/12/29,127,B
+07DA001,1,2001/12/30,124,B
+07DA001,1,2001/12/31,122,B
+07DA001,1,2002/01/01,120,B
+07DA001,1,2002/01/02,118,B
+07DA001,1,2002/01/03,117,B
+07DA001,1,2002/01/04,117,B
+07DA001,1,2002/01/05,115,B
+07DA001,1,2002/01/06,113,B
+07DA001,1,2002/01/07,110,B
+07DA001,1,2002/01/08,111,B
+07DA001,1,2002/01/09,114,B
+07DA001,1,2002/01/10,116,B
+07DA001,1,2002/01/11,117,B
+07DA001,1,2002/01/12,118,B
+07DA001,1,2002/01/13,119,B
+07DA001,1,2002/01/14,118,B
+07DA001,1,2002/01/15,120,B
+07DA001,1,2002/01/16,115,B
+07DA001,1,2002/01/17,118,B
+07DA001,1,2002/01/18,120,B
+07DA001,1,2002/01/19,119,B
+07DA001,1,2002/01/20,116,B
+07DA001,1,2002/01/21,116,B
+07DA001,1,2002/01/22,116,B
+07DA001,1,2002/01/23,116,B
+07DA001,1,2002/01/24,116,B
+07DA001,1,2002/01/25,112,B
+07DA001,1,2002/01/26,109,B
+07DA001,1,2002/01/27,108,B
+07DA001,1,2002/01/28,110,B
+07DA001,1,2002/01/29,109,B
+07DA001,1,2002/01/30,109,B
+07DA001,1,2002/01/31,109,B
+07DA001,1,2002/02/01,107,B
+07DA001,1,2002/02/02,102,B
+07DA001,1,2002/02/03,98.0,B
+07DA001,1,2002/02/04,99.0,B
+07DA001,1,2002/02/05,100,B
+07DA001,1,2002/02/06,105,B
+07DA001,1,2002/02/07,100,B
+07DA001,1,2002/02/08,92.0,B
+07DA001,1,2002/02/09,93.0,B
+07DA001,1,2002/02/10,95.0,B
+07DA001,1,2002/02/11,96.0,B
+07DA001,1,2002/02/12,98.0,B
+07DA001,1,2002/02/13,98.0,B
+07DA001,1,2002/02/14,99.0,B
+07DA001,1,2002/02/15,99.0,B
+07DA001,1,2002/02/16,99.0,B
+07DA001,1,2002/02/17,99.0,B
+07DA001,1,2002/02/18,99.0,B
+07DA001,1,2002/02/19,97.0,B
+07DA001,1,2002/02/20,97.0,B
+07DA001,1,2002/02/21,98.0,B
+07DA001,1,2002/02/22,99.0,B
+07DA001,1,2002/02/23,99.0,B
+07DA001,1,2002/02/24,99.0,B
+07DA001,1,2002/02/25,100,B
+07DA001,1,2002/02/26,101,B
+07DA001,1,2002/02/27,102,B
+07DA001,1,2002/02/28,103,B
+07DA001,1,2002/03/01,102,B
+07DA001,1,2002/03/02,102,B
+07DA001,1,2002/03/03,101,B
+07DA001,1,2002/03/04,100,B
+07DA001,1,2002/03/05,98.0,B
+07DA001,1,2002/03/06,96.0,B
+07DA001,1,2002/03/07,95.0,B
+07DA001,1,2002/03/08,96.0,B
+07DA001,1,2002/03/09,97.0,B
+07DA001,1,2002/03/10,99.0,B
+07DA001,1,2002/03/11,99.0,B
+07DA001,1,2002/03/12,100,B
+07DA001,1,2002/03/13,90.0,B
+07DA001,1,2002/03/14,84.0,B
+07DA001,1,2002/03/15,80.0,B
+07DA001,1,2002/03/16,91.0,B
+07DA001,1,2002/03/17,94.0,B
+07DA001,1,2002/03/18,99.0,B
+07DA001,1,2002/03/19,101,B
+07DA001,1,2002/03/20,102,B
+07DA001,1,2002/03/21,102,B
+07DA001,1,2002/03/22,103,B
+07DA001,1,2002/03/23,103,B
+07DA001,1,2002/03/24,102,B
+07DA001,1,2002/03/25,101,B
+07DA001,1,2002/03/26,99.0,B
+07DA001,1,2002/03/27,96.0,B
+07DA001,1,2002/03/28,96.0,B
+07DA001,1,2002/03/29,96.0,B
+07DA001,1,2002/03/30,96.0,B
+07DA001,1,2002/03/31,96.0,B
+07DA001,1,2002/04/01,96.0,B
+07DA001,1,2002/04/02,96.0,B
+07DA001,1,2002/04/03,98.0,B
+07DA001,1,2002/04/04,99.0,B
+07DA001,1,2002/04/05,100,B
+07DA001,1,2002/04/06,100,B
+07DA001,1,2002/04/07,101,B
+07DA001,1,2002/04/08,100,B
+07DA001,1,2002/04/09,100,B
+07DA001,1,2002/04/10,100,B
+07DA001,1,2002/04/11,100,B
+07DA001,1,2002/04/12,99.0,B
+07DA001,1,2002/04/13,97.0,B
+07DA001,1,2002/04/14,96.0,B
+07DA001,1,2002/04/15,96.0,B
+07DA001,1,2002/04/16,98.0,B
+07DA001,1,2002/04/17,103,B
+07DA001,1,2002/04/18,105,B
+07DA001,1,2002/04/19,108,B
+07DA001,1,2002/04/20,112,B
+07DA001,1,2002/04/21,116,B
+07DA001,1,2002/04/22,110,B
+07DA001,1,2002/04/23,117,B
+07DA001,1,2002/04/24,147,B
+07DA001,1,2002/04/25,181,B
+07DA001,1,2002/04/26,187,B
+07DA001,1,2002/04/27,188,B
+07DA001,1,2002/04/28,237,B
+07DA001,1,2002/04/29,273,B
+07DA001,1,2002/04/30,268,B
+07DA001,1,2002/05/01,250,B
+07DA001,1,2002/05/02,232,B
+07DA001,1,2002/05/03,233,B
+07DA001,1,2002/05/04,417,E
+07DA001,1,2002/05/05,497,E
+07DA001,1,2002/05/06,487,E
+07DA001,1,2002/05/07,600,E
+07DA001,1,2002/05/08,697,E
+07DA001,1,2002/05/09,655,E
+07DA001,1,2002/05/10,656,E
+07DA001,1,2002/05/11,508,E
+07DA001,1,2002/05/12,457,E
+07DA001,1,2002/05/13,414,E
+07DA001,1,2002/05/14,392,A
+07DA001,1,2002/05/15,391,
+07DA001,1,2002/05/16,418,
+07DA001,1,2002/05/17,466,
+07DA001,1,2002/05/18,522,
+07DA001,1,2002/05/19,571,
+07DA001,1,2002/05/20,654,
+07DA001,1,2002/05/21,706,
+07DA001,1,2002/05/22,703,
+07DA001,1,2002/05/23,711,
+07DA001,1,2002/05/24,716,
+07DA001,1,2002/05/25,717,
+07DA001,1,2002/05/26,733,
+07DA001,1,2002/05/27,773,
+07DA001,1,2002/05/28,781,
+07DA001,1,2002/05/29,752,
+07DA001,1,2002/05/30,711,
+07DA001,1,2002/05/31,660,A
+07DA001,1,2002/06/01,610,
+07DA001,1,2002/06/02,589,
+07DA001,1,2002/06/03,616,
+07DA001,1,2002/06/04,695,
+07DA001,1,2002/06/05,791,
+07DA001,1,2002/06/06,799,
+07DA001,1,2002/06/07,751,
+07DA001,1,2002/06/08,692,
+07DA001,1,2002/06/09,666,
+07DA001,1,2002/06/10,683,
+07DA001,1,2002/06/11,776,
+07DA001,1,2002/06/12,819,
+07DA001,1,2002/06/13,755,
+07DA001,1,2002/06/14,660,
+07DA001,1,2002/06/15,591,
+07DA001,1,2002/06/16,556,
+07DA001,1,2002/06/17,580,A
+07DA001,1,2002/06/18,650,E
+07DA001,1,2002/06/19,750,E
+07DA001,1,2002/06/20,850,E
+07DA001,1,2002/06/21,925,E
+07DA001,1,2002/06/22,1050,E
+07DA001,1,2002/06/23,1150,E
+07DA001,1,2002/06/24,1190,E
+07DA001,1,2002/06/25,1100,E
+07DA001,1,2002/06/26,950,E
+07DA001,1,2002/06/27,900,E
+07DA001,1,2002/06/28,900,E
+07DA001,1,2002/06/29,910,E
+07DA001,1,2002/06/30,955,E
+07DA001,1,2002/07/01,1000,E
+07DA001,1,2002/07/02,1050,E
+07DA001,1,2002/07/03,1090,A
+07DA001,1,2002/07/04,1090,
+07DA001,1,2002/07/05,1030,
+07DA001,1,2002/07/06,937,
+07DA001,1,2002/07/07,818,
+07DA001,1,2002/07/08,713,
+07DA001,1,2002/07/09,631,
+07DA001,1,2002/07/10,576,
+07DA001,1,2002/07/11,540,
+07DA001,1,2002/07/12,504,
+07DA001,1,2002/07/13,473,
+07DA001,1,2002/07/14,464,
+07DA001,1,2002/07/15,525,
+07DA001,1,2002/07/16,644,
+07DA001,1,2002/07/17,693,
+07DA001,1,2002/07/18,751,
+07DA001,1,2002/07/19,777,A
+07DA001,1,2002/07/20,783,
+07DA001,1,2002/07/21,823,
+07DA001,1,2002/07/22,848,
+07DA001,1,2002/07/23,839,
+07DA001,1,2002/07/24,827,
+07DA001,1,2002/07/25,813,
+07DA001,1,2002/07/26,802,
+07DA001,1,2002/07/27,770,
+07DA001,1,2002/07/28,734,
+07DA001,1,2002/07/29,694,
+07DA001,1,2002/07/30,687,
+07DA001,1,2002/07/31,718,
+07DA001,1,2002/08/01,760,
+07DA001,1,2002/08/02,779,
+07DA001,1,2002/08/03,751,
+07DA001,1,2002/08/04,702,
+07DA001,1,2002/08/05,667,
+07DA001,1,2002/08/06,632,
+07DA001,1,2002/08/07,598,
+07DA001,1,2002/08/08,568,
+07DA001,1,2002/08/09,545,
+07DA001,1,2002/08/10,534,
+07DA001,1,2002/08/11,514,
+07DA001,1,2002/08/12,503,
+07DA001,1,2002/08/13,497,
+07DA001,1,2002/08/14,481,
+07DA001,1,2002/08/15,474,
+07DA001,1,2002/08/16,477,
+07DA001,1,2002/08/17,485,
+07DA001,1,2002/08/18,502,
+07DA001,1,2002/08/19,506,
+07DA001,1,2002/08/20,495,
+07DA001,1,2002/08/21,509,
+07DA001,1,2002/08/22,549,
+07DA001,1,2002/08/23,556,
+07DA001,1,2002/08/24,539,
+07DA001,1,2002/08/25,511,
+07DA001,1,2002/08/26,508,
+07DA001,1,2002/08/27,486,
+07DA001,1,2002/08/28,471,
+07DA001,1,2002/08/29,458,
+07DA001,1,2002/08/30,454,
+07DA001,1,2002/08/31,459,
+07DA001,1,2002/09/01,481,
+07DA001,1,2002/09/02,494,
+07DA001,1,2002/09/03,485,
+07DA001,1,2002/09/04,500,
+07DA001,1,2002/09/05,523,
+07DA001,1,2002/09/06,551,
+07DA001,1,2002/09/07,547,
+07DA001,1,2002/09/08,540,
+07DA001,1,2002/09/09,538,
+07DA001,1,2002/09/10,517,
+07DA001,1,2002/09/11,504,
+07DA001,1,2002/09/12,481,
+07DA001,1,2002/09/13,468,
+07DA001,1,2002/09/14,450,
+07DA001,1,2002/09/15,434,
+07DA001,1,2002/09/16,418,
+07DA001,1,2002/09/17,400,
+07DA001,1,2002/09/18,382,
+07DA001,1,2002/09/19,372,
+07DA001,1,2002/09/20,370,
+07DA001,1,2002/09/21,371,
+07DA001,1,2002/09/22,374,
+07DA001,1,2002/09/23,366,
+07DA001,1,2002/09/24,361,
+07DA001,1,2002/09/25,362,
+07DA001,1,2002/09/26,355,
+07DA001,1,2002/09/27,338,
+07DA001,1,2002/09/28,354,
+07DA001,1,2002/09/29,359,
+07DA001,1,2002/09/30,345,
+07DA001,1,2002/10/01,336,
+07DA001,1,2002/10/02,343,
+07DA001,1,2002/10/03,353,
+07DA001,1,2002/10/04,349,
+07DA001,1,2002/10/05,350,
+07DA001,1,2002/10/06,343,
+07DA001,1,2002/10/07,349,
+07DA001,1,2002/10/08,366,
+07DA001,1,2002/10/09,365,
+07DA001,1,2002/10/10,353,
+07DA001,1,2002/10/11,357,
+07DA001,1,2002/10/12,361,
+07DA001,1,2002/10/13,375,
+07DA001,1,2002/10/14,388,
+07DA001,1,2002/10/15,390,
+07DA001,1,2002/10/16,382,
+07DA001,1,2002/10/17,372,
+07DA001,1,2002/10/18,357,
+07DA001,1,2002/10/19,343,
+07DA001,1,2002/10/20,324,B
+07DA001,1,2002/10/21,301,B
+07DA001,1,2002/10/22,295,B
+07DA001,1,2002/10/23,288,B
+07DA001,1,2002/10/24,292,B
+07DA001,1,2002/10/25,294,B
+07DA001,1,2002/10/26,306,B
+07DA001,1,2002/10/27,298,B
+07DA001,1,2002/10/28,294,B
+07DA001,1,2002/10/29,297,B
+07DA001,1,2002/10/30,300,B
+07DA001,1,2002/10/31,301,B
+07DA001,1,2002/11/01,304,B
+07DA001,1,2002/11/02,288,B
+07DA001,1,2002/11/03,286,B
+07DA001,1,2002/11/04,256,B
+07DA001,1,2002/11/05,277,B
+07DA001,1,2002/11/06,261,B
+07DA001,1,2002/11/07,271,B
+07DA001,1,2002/11/08,265,B
+07DA001,1,2002/11/09,237,B
+07DA001,1,2002/11/10,241,B
+07DA001,1,2002/11/11,261,B
+07DA001,1,2002/11/12,247,B
+07DA001,1,2002/11/13,252,B
+07DA001,1,2002/11/14,220,B
+07DA001,1,2002/11/15,212,B
+07DA001,1,2002/11/16,221,B
+07DA001,1,2002/11/17,217,B
+07DA001,1,2002/11/18,252,B
+07DA001,1,2002/11/19,251,B
+07DA001,1,2002/11/20,248,B
+07DA001,1,2002/11/21,220,B
+07DA001,1,2002/11/22,212,B
+07DA001,1,2002/11/23,236,B
+07DA001,1,2002/11/24,240,B
+07DA001,1,2002/11/25,251,B
+07DA001,1,2002/11/26,226,B
+07DA001,1,2002/11/27,220,B
+07DA001,1,2002/11/28,215,B
+07DA001,1,2002/11/29,225,B
+07DA001,1,2002/11/30,235,B
+07DA001,1,2002/12/01,234,B
+07DA001,1,2002/12/02,239,B
+07DA001,1,2002/12/03,223,B
+07DA001,1,2002/12/04,229,B
+07DA001,1,2002/12/05,228,B
+07DA001,1,2002/12/06,195,B
+07DA001,1,2002/12/07,188,B
+07DA001,1,2002/12/08,173,B
+07DA001,1,2002/12/09,165,B
+07DA001,1,2002/12/10,158,B
+07DA001,1,2002/12/11,181,B
+07DA001,1,2002/12/12,185,B
+07DA001,1,2002/12/13,174,B
+07DA001,1,2002/12/14,165,B
+07DA001,1,2002/12/15,158,B
+07DA001,1,2002/12/16,163,B
+07DA001,1,2002/12/17,165,B
+07DA001,1,2002/12/18,162,B
+07DA001,1,2002/12/19,156,B
+07DA001,1,2002/12/20,160,B
+07DA001,1,2002/12/21,161,B
+07DA001,1,2002/12/22,161,B
+07DA001,1,2002/12/23,167,B
+07DA001,1,2002/12/24,170,B
+07DA001,1,2002/12/25,161,B
+07DA001,1,2002/12/26,153,B
+07DA001,1,2002/12/27,160,B
+07DA001,1,2002/12/28,156,B
+07DA001,1,2002/12/29,152,B
+07DA001,1,2002/12/30,147,B
+07DA001,1,2002/12/31,141,B
+07DA001,1,2003/01/01,134,B
+07DA001,1,2003/01/02,125,B
+07DA001,1,2003/01/03,118,B
+07DA001,1,2003/01/04,114,B
+07DA001,1,2003/01/05,113,B
+07DA001,1,2003/01/06,112,B
+07DA001,1,2003/01/07,113,B
+07DA001,1,2003/01/08,122,B
+07DA001,1,2003/01/09,126,B
+07DA001,1,2003/01/10,122,B
+07DA001,1,2003/01/11,118,B
+07DA001,1,2003/01/12,114,B
+07DA001,1,2003/01/13,111,B
+07DA001,1,2003/01/14,119,B
+07DA001,1,2003/01/15,119,B
+07DA001,1,2003/01/16,121,B
+07DA001,1,2003/01/17,122,B
+07DA001,1,2003/01/18,117,B
+07DA001,1,2003/01/19,122,B
+07DA001,1,2003/01/20,120,B
+07DA001,1,2003/01/21,118,B
+07DA001,1,2003/01/22,114,B
+07DA001,1,2003/01/23,112,B
+07DA001,1,2003/01/24,111,B
+07DA001,1,2003/01/25,113,B
+07DA001,1,2003/01/26,111,B
+07DA001,1,2003/01/27,109,B
+07DA001,1,2003/01/28,109,B
+07DA001,1,2003/01/29,116,B
+07DA001,1,2003/01/30,118,B
+07DA001,1,2003/01/31,119,B
+07DA001,1,2003/02/01,119,B
+07DA001,1,2003/02/02,120,B
+07DA001,1,2003/02/03,118,B
+07DA001,1,2003/02/04,114,B
+07DA001,1,2003/02/05,109,B
+07DA001,1,2003/02/06,107,B
+07DA001,1,2003/02/07,107,B
+07DA001,1,2003/02/08,108,B
+07DA001,1,2003/02/09,110,B
+07DA001,1,2003/02/10,116,B
+07DA001,1,2003/02/11,117,B
+07DA001,1,2003/02/12,115,B
+07DA001,1,2003/02/13,115,B
+07DA001,1,2003/02/14,116,B
+07DA001,1,2003/02/15,113,B
+07DA001,1,2003/02/16,113,B
+07DA001,1,2003/02/17,112,B
+07DA001,1,2003/02/18,111,B
+07DA001,1,2003/02/19,114,B
+07DA001,1,2003/02/20,112,B
+07DA001,1,2003/02/21,109,B
+07DA001,1,2003/02/22,108,B
+07DA001,1,2003/02/23,107,B
+07DA001,1,2003/02/24,106,B
+07DA001,1,2003/02/25,104,B
+07DA001,1,2003/02/26,104,B
+07DA001,1,2003/02/27,103,B
+07DA001,1,2003/02/28,102,B
+07DA001,1,2003/03/01,101,B
+07DA001,1,2003/03/02,101,B
+07DA001,1,2003/03/03,100,B
+07DA001,1,2003/03/04,98.6,B
+07DA001,1,2003/03/05,93.9,B
+07DA001,1,2003/03/06,91.3,B
+07DA001,1,2003/03/07,91.9,B
+07DA001,1,2003/03/08,93.3,B
+07DA001,1,2003/03/09,94.1,B
+07DA001,1,2003/03/10,96.7,B
+07DA001,1,2003/03/11,98.7,B
+07DA001,1,2003/03/12,102,B
+07DA001,1,2003/03/13,103,B
+07DA001,1,2003/03/14,105,B
+07DA001,1,2003/03/15,105,B
+07DA001,1,2003/03/16,106,B
+07DA001,1,2003/03/17,106,B
+07DA001,1,2003/03/18,105,B
+07DA001,1,2003/03/19,106,B
+07DA001,1,2003/03/20,106,B
+07DA001,1,2003/03/21,104,B
+07DA001,1,2003/03/22,111,B
+07DA001,1,2003/03/23,115,B
+07DA001,1,2003/03/24,115,B
+07DA001,1,2003/03/25,117,B
+07DA001,1,2003/03/26,119,B
+07DA001,1,2003/03/27,122,B
+07DA001,1,2003/03/28,125,B
+07DA001,1,2003/03/29,128,B
+07DA001,1,2003/03/30,132,B
+07DA001,1,2003/03/31,141,B
+07DA001,1,2003/04/01,139,B
+07DA001,1,2003/04/02,149,B
+07DA001,1,2003/04/03,153,B
+07DA001,1,2003/04/04,155,B
+07DA001,1,2003/04/05,153,B
+07DA001,1,2003/04/06,154,B
+07DA001,1,2003/04/07,153,B
+07DA001,1,2003/04/08,150,B
+07DA001,1,2003/04/09,158,B
+07DA001,1,2003/04/10,166,B
+07DA001,1,2003/04/11,168,B
+07DA001,1,2003/04/12,179,B
+07DA001,1,2003/04/13,192,B
+07DA001,1,2003/04/14,200,B
+07DA001,1,2003/04/15,215,B
+07DA001,1,2003/04/16,230,B
+07DA001,1,2003/04/17,245,B
+07DA001,1,2003/04/18,265,B
+07DA001,1,2003/04/19,290,B
+07DA001,1,2003/04/20,310,B
+07DA001,1,2003/04/21,344,B
+07DA001,1,2003/04/22,383,B
+07DA001,1,2003/04/23,422,B
+07DA001,1,2003/04/24,461,B
+07DA001,1,2003/04/25,500,B
+07DA001,1,2003/04/26,600,B
+07DA001,1,2003/04/27,800,B
+07DA001,1,2003/04/28,950,B
+07DA001,1,2003/04/29,1150,B
+07DA001,1,2003/04/30,1400,E
+07DA001,1,2003/05/01,1300,E
+07DA001,1,2003/05/02,1100,E
+07DA001,1,2003/05/03,977,E
+07DA001,1,2003/05/04,915,E
+07DA001,1,2003/05/05,853,A
+07DA001,1,2003/05/06,851,
+07DA001,1,2003/05/07,837,
+07DA001,1,2003/05/08,808,
+07DA001,1,2003/05/09,765,
+07DA001,1,2003/05/10,735,
+07DA001,1,2003/05/11,714,
+07DA001,1,2003/05/12,696,
+07DA001,1,2003/05/13,688,
+07DA001,1,2003/05/14,702,
+07DA001,1,2003/05/15,731,
+07DA001,1,2003/05/16,777,
+07DA001,1,2003/05/17,905,
+07DA001,1,2003/05/18,957,
+07DA001,1,2003/05/19,930,
+07DA001,1,2003/05/20,893,
+07DA001,1,2003/05/21,836,
+07DA001,1,2003/05/22,783,
+07DA001,1,2003/05/23,726,
+07DA001,1,2003/05/24,667,
+07DA001,1,2003/05/25,621,
+07DA001,1,2003/05/26,595,
+07DA001,1,2003/05/27,560,
+07DA001,1,2003/05/28,525,
+07DA001,1,2003/05/29,517,
+07DA001,1,2003/05/30,575,
+07DA001,1,2003/05/31,1140,
+07DA001,1,2003/06/01,1170,
+07DA001,1,2003/06/02,1060,
+07DA001,1,2003/06/03,1040,
+07DA001,1,2003/06/04,1150,
+07DA001,1,2003/06/05,1200,
+07DA001,1,2003/06/06,1310,
+07DA001,1,2003/06/07,1450,
+07DA001,1,2003/06/08,1390,
+07DA001,1,2003/06/09,1240,
+07DA001,1,2003/06/10,1120,
+07DA001,1,2003/06/11,1080,
+07DA001,1,2003/06/12,1090,
+07DA001,1,2003/06/13,1090,
+07DA001,1,2003/06/14,1170,
+07DA001,1,2003/06/15,1240,
+07DA001,1,2003/06/16,1280,
+07DA001,1,2003/06/17,1230,
+07DA001,1,2003/06/18,1160,
+07DA001,1,2003/06/19,1150,
+07DA001,1,2003/06/20,1120,
+07DA001,1,2003/06/21,1040,
+07DA001,1,2003/06/22,1000,
+07DA001,1,2003/06/23,1090,A
+07DA001,1,2003/06/24,1280,
+07DA001,1,2003/06/25,1640,
+07DA001,1,2003/06/26,1840,
+07DA001,1,2003/06/27,1800,
+07DA001,1,2003/06/28,1650,
+07DA001,1,2003/06/29,1510,
+07DA001,1,2003/06/30,1390,A
+07DA001,1,2003/07/01,1320,
+07DA001,1,2003/07/02,1310,
+07DA001,1,2003/07/03,1310,
+07DA001,1,2003/07/04,1280,
+07DA001,1,2003/07/05,1260,
+07DA001,1,2003/07/06,1310,
+07DA001,1,2003/07/07,1320,
+07DA001,1,2003/07/08,1250,
+07DA001,1,2003/07/09,1180,
+07DA001,1,2003/07/10,1140,
+07DA001,1,2003/07/11,1110,
+07DA001,1,2003/07/12,1110,
+07DA001,1,2003/07/13,1090,
+07DA001,1,2003/07/14,1070,
+07DA001,1,2003/07/15,1070,
+07DA001,1,2003/07/16,1040,
+07DA001,1,2003/07/17,993,
+07DA001,1,2003/07/18,994,
+07DA001,1,2003/07/19,1020,
+07DA001,1,2003/07/20,1010,
+07DA001,1,2003/07/21,955,
+07DA001,1,2003/07/22,921,
+07DA001,1,2003/07/23,890,
+07DA001,1,2003/07/24,875,
+07DA001,1,2003/07/25,830,
+07DA001,1,2003/07/26,777,
+07DA001,1,2003/07/27,751,
+07DA001,1,2003/07/28,746,
+07DA001,1,2003/07/29,739,
+07DA001,1,2003/07/30,726,
+07DA001,1,2003/07/31,708,
+07DA001,1,2003/08/01,683,
+07DA001,1,2003/08/02,653,
+07DA001,1,2003/08/03,618,
+07DA001,1,2003/08/04,616,
+07DA001,1,2003/08/05,607,
+07DA001,1,2003/08/06,606,
+07DA001,1,2003/08/07,617,
+07DA001,1,2003/08/08,634,
+07DA001,1,2003/08/09,631,
+07DA001,1,2003/08/10,631,
+07DA001,1,2003/08/11,653,
+07DA001,1,2003/08/12,676,
+07DA001,1,2003/08/13,711,
+07DA001,1,2003/08/14,722,
+07DA001,1,2003/08/15,704,
+07DA001,1,2003/08/16,692,
+07DA001,1,2003/08/17,701,
+07DA001,1,2003/08/18,704,
+07DA001,1,2003/08/19,671,
+07DA001,1,2003/08/20,627,
+07DA001,1,2003/08/21,590,
+07DA001,1,2003/08/22,566,
+07DA001,1,2003/08/23,547,
+07DA001,1,2003/08/24,536,
+07DA001,1,2003/08/25,524,A
+07DA001,1,2003/08/26,516,
+07DA001,1,2003/08/27,502,A
+07DA001,1,2003/08/28,482,A
+07DA001,1,2003/08/29,471,A
+07DA001,1,2003/08/30,474,A
+07DA001,1,2003/08/31,467,A
+07DA001,1,2003/09/01,448,A
+07DA001,1,2003/09/02,430,A
+07DA001,1,2003/09/03,412,
+07DA001,1,2003/09/04,414,A
+07DA001,1,2003/09/05,413,A
+07DA001,1,2003/09/06,410,A
+07DA001,1,2003/09/07,399,
+07DA001,1,2003/09/08,399,
+07DA001,1,2003/09/09,399,A
+07DA001,1,2003/09/10,395,
+07DA001,1,2003/09/11,387,
+07DA001,1,2003/09/12,403,
+07DA001,1,2003/09/13,411,
+07DA001,1,2003/09/14,414,
+07DA001,1,2003/09/15,443,A
+07DA001,1,2003/09/16,463,
+07DA001,1,2003/09/17,454,
+07DA001,1,2003/09/18,439,
+07DA001,1,2003/09/19,433,A
+07DA001,1,2003/09/20,436,A
+07DA001,1,2003/09/21,430,A
+07DA001,1,2003/09/22,420,
+07DA001,1,2003/09/23,432,
+07DA001,1,2003/09/24,439,
+07DA001,1,2003/09/25,451,
+07DA001,1,2003/09/26,450,
+07DA001,1,2003/09/27,447,
+07DA001,1,2003/09/28,449,
+07DA001,1,2003/09/29,443,
+07DA001,1,2003/09/30,435,
+07DA001,1,2003/10/01,427,
+07DA001,1,2003/10/02,430,
+07DA001,1,2003/10/03,424,A
+07DA001,1,2003/10/04,418,
+07DA001,1,2003/10/05,410,
+07DA001,1,2003/10/06,401,A
+07DA001,1,2003/10/07,390,E
+07DA001,1,2003/10/08,380,E
+07DA001,1,2003/10/09,365,E
+07DA001,1,2003/10/10,358,E
+07DA001,1,2003/10/11,355,E
+07DA001,1,2003/10/12,350,E
+07DA001,1,2003/10/13,350,E
+07DA001,1,2003/10/14,355,E
+07DA001,1,2003/10/15,365,E
+07DA001,1,2003/10/16,370,E
+07DA001,1,2003/10/17,355,E
+07DA001,1,2003/10/18,340,E
+07DA001,1,2003/10/19,335,E
+07DA001,1,2003/10/20,330,A
+07DA001,1,2003/10/21,327,
+07DA001,1,2003/10/22,322,
+07DA001,1,2003/10/23,329,
+07DA001,1,2003/10/24,342,
+07DA001,1,2003/10/25,348,A
+07DA001,1,2003/10/26,357,
+07DA001,1,2003/10/27,405,
+07DA001,1,2003/10/28,454,
+07DA001,1,2003/10/29,471,A
+07DA001,1,2003/10/30,476,
+07DA001,1,2003/10/31,407,B
+07DA001,1,2003/11/01,396,B
+07DA001,1,2003/11/02,306,B
+07DA001,1,2003/11/03,280,B
+07DA001,1,2003/11/04,260,B
+07DA001,1,2003/11/05,240,B
+07DA001,1,2003/11/06,220,B
+07DA001,1,2003/11/07,210,B
+07DA001,1,2003/11/08,205,B
+07DA001,1,2003/11/09,200,B
+07DA001,1,2003/11/10,195,B
+07DA001,1,2003/11/11,195,B
+07DA001,1,2003/11/12,200,B
+07DA001,1,2003/11/13,210,B
+07DA001,1,2003/11/14,230,B
+07DA001,1,2003/11/15,250,B
+07DA001,1,2003/11/16,260,B
+07DA001,1,2003/11/17,258,B
+07DA001,1,2003/11/18,264,B
+07DA001,1,2003/11/19,250,B
+07DA001,1,2003/11/20,229,B
+07DA001,1,2003/11/21,217,B
+07DA001,1,2003/11/22,197,B
+07DA001,1,2003/11/23,180,B
+07DA001,1,2003/11/24,173,B
+07DA001,1,2003/11/25,170,B
+07DA001,1,2003/11/26,179,B
+07DA001,1,2003/11/27,179,B
+07DA001,1,2003/11/28,179,B
+07DA001,1,2003/11/29,189,B
+07DA001,1,2003/11/30,214,B
+07DA001,1,2003/12/01,209,B
+07DA001,1,2003/12/02,203,B
+07DA001,1,2003/12/03,201,B
+07DA001,1,2003/12/04,205,B
+07DA001,1,2003/12/05,189,B
+07DA001,1,2003/12/06,184,B
+07DA001,1,2003/12/07,190,B
+07DA001,1,2003/12/08,204,B
+07DA001,1,2003/12/09,196,B
+07DA001,1,2003/12/10,197,B
+07DA001,1,2003/12/11,193,B
+07DA001,1,2003/12/12,185,B
+07DA001,1,2003/12/13,184,B
+07DA001,1,2003/12/14,185,B
+07DA001,1,2003/12/15,184,B
+07DA001,1,2003/12/16,193,B
+07DA001,1,2003/12/17,187,B
+07DA001,1,2003/12/18,186,B
+07DA001,1,2003/12/19,189,B
+07DA001,1,2003/12/20,188,B
+07DA001,1,2003/12/21,193,B
+07DA001,1,2003/12/22,191,B
+07DA001,1,2003/12/23,182,B
+07DA001,1,2003/12/24,177,B
+07DA001,1,2003/12/25,175,B
+07DA001,1,2003/12/26,170,B
+07DA001,1,2003/12/27,167,B
+07DA001,1,2003/12/28,166,B
+07DA001,1,2003/12/29,164,B
+07DA001,1,2003/12/30,163,B
+07DA001,1,2003/12/31,161,B
+07DA001,1,2004/01/01,160,B
+07DA001,1,2004/01/02,158,B
+07DA001,1,2004/01/03,156,B
+07DA001,1,2004/01/04,155,B
+07DA001,1,2004/01/05,152,B
+07DA001,1,2004/01/06,150,B
+07DA001,1,2004/01/07,148,B
+07DA001,1,2004/01/08,146,B
+07DA001,1,2004/01/09,145,B
+07DA001,1,2004/01/10,145,B
+07DA001,1,2004/01/11,140,B
+07DA001,1,2004/01/12,133,B
+07DA001,1,2004/01/13,128,B
+07DA001,1,2004/01/14,131,B
+07DA001,1,2004/01/15,137,B
+07DA001,1,2004/01/16,140,B
+07DA001,1,2004/01/17,141,B
+07DA001,1,2004/01/18,141,B
+07DA001,1,2004/01/19,141,B
+07DA001,1,2004/01/20,144,B
+07DA001,1,2004/01/21,144,B
+07DA001,1,2004/01/22,145,B
+07DA001,1,2004/01/23,146,B
+07DA001,1,2004/01/24,145,B
+07DA001,1,2004/01/25,144,B
+07DA001,1,2004/01/26,143,B
+07DA001,1,2004/01/27,145,B
+07DA001,1,2004/01/28,147,B
+07DA001,1,2004/01/29,145,B
+07DA001,1,2004/01/30,141,B
+07DA001,1,2004/01/31,143,B
+07DA001,1,2004/02/01,143,B
+07DA001,1,2004/02/02,141,B
+07DA001,1,2004/02/03,139,B
+07DA001,1,2004/02/04,136,B
+07DA001,1,2004/02/05,135,B
+07DA001,1,2004/02/06,131,B
+07DA001,1,2004/02/07,125,B
+07DA001,1,2004/02/08,121,B
+07DA001,1,2004/02/09,117,B
+07DA001,1,2004/02/10,115,B
+07DA001,1,2004/02/11,116,B
+07DA001,1,2004/02/12,119,B
+07DA001,1,2004/02/13,123,B
+07DA001,1,2004/02/14,125,B
+07DA001,1,2004/02/15,126,B
+07DA001,1,2004/02/16,128,B
+07DA001,1,2004/02/17,130,B
+07DA001,1,2004/02/18,130,B
+07DA001,1,2004/02/19,131,B
+07DA001,1,2004/02/20,131,B
+07DA001,1,2004/02/21,132,B
+07DA001,1,2004/02/22,133,B
+07DA001,1,2004/02/23,134,B
+07DA001,1,2004/02/24,134,B
+07DA001,1,2004/02/25,134,B
+07DA001,1,2004/02/26,134,B
+07DA001,1,2004/02/27,134,B
+07DA001,1,2004/02/28,135,B
+07DA001,1,2004/02/29,135,B
+07DA001,1,2004/03/01,137,B
+07DA001,1,2004/03/02,138,B
+07DA001,1,2004/03/03,138,B
+07DA001,1,2004/03/04,138,B
+07DA001,1,2004/03/05,137,B
+07DA001,1,2004/03/06,135,B
+07DA001,1,2004/03/07,134,B
+07DA001,1,2004/03/08,134,B
+07DA001,1,2004/03/09,137,B
+07DA001,1,2004/03/10,140,B
+07DA001,1,2004/03/11,141,B
+07DA001,1,2004/03/12,143,B
+07DA001,1,2004/03/13,144,B
+07DA001,1,2004/03/14,144,B
+07DA001,1,2004/03/15,145,B
+07DA001,1,2004/03/16,146,B
+07DA001,1,2004/03/17,145,B
+07DA001,1,2004/03/18,147,B
+07DA001,1,2004/03/19,149,B
+07DA001,1,2004/03/20,149,B
+07DA001,1,2004/03/21,150,B
+07DA001,1,2004/03/22,154,B
+07DA001,1,2004/03/23,160,B
+07DA001,1,2004/03/24,162,B
+07DA001,1,2004/03/25,160,B
+07DA001,1,2004/03/26,158,B
+07DA001,1,2004/03/27,159,B
+07DA001,1,2004/03/28,161,B
+07DA001,1,2004/03/29,154,B
+07DA001,1,2004/03/30,154,B
+07DA001,1,2004/03/31,171,B
+07DA001,1,2004/04/01,174,B
+07DA001,1,2004/04/02,178,B
+07DA001,1,2004/04/03,178,B
+07DA001,1,2004/04/04,188,B
+07DA001,1,2004/04/05,203,B
+07DA001,1,2004/04/06,230,B
+07DA001,1,2004/04/07,254,B
+07DA001,1,2004/04/08,277,B
+07DA001,1,2004/04/09,312,B
+07DA001,1,2004/04/10,355,B
+07DA001,1,2004/04/11,391,B
+07DA001,1,2004/04/12,434,B
+07DA001,1,2004/04/13,464,B
+07DA001,1,2004/04/14,533,B
+07DA001,1,2004/04/15,494,B
+07DA001,1,2004/04/16,606,B
+07DA001,1,2004/04/17,701,B
+07DA001,1,2004/04/18,766,B
+07DA001,1,2004/04/19,879,B
+07DA001,1,2004/04/20,719,B
+07DA001,1,2004/04/21,734,B
+07DA001,1,2004/04/22,841,B
+07DA001,1,2004/04/23,736,B
+07DA001,1,2004/04/24,733,B
+07DA001,1,2004/04/25,656,B
+07DA001,1,2004/04/26,624,
+07DA001,1,2004/04/27,653,
+07DA001,1,2004/04/28,663,
+07DA001,1,2004/04/29,674,
+07DA001,1,2004/04/30,675,
+07DA001,1,2004/05/01,670,
+07DA001,1,2004/05/02,685,
+07DA001,1,2004/05/03,696,
+07DA001,1,2004/05/04,678,
+07DA001,1,2004/05/05,650,
+07DA001,1,2004/05/06,624,
+07DA001,1,2004/05/07,608,
+07DA001,1,2004/05/08,603,A
+07DA001,1,2004/05/09,598,
+07DA001,1,2004/05/10,604,
+07DA001,1,2004/05/11,616,
+07DA001,1,2004/05/12,607,
+07DA001,1,2004/05/13,592,
+07DA001,1,2004/05/14,572,
+07DA001,1,2004/05/15,554,
+07DA001,1,2004/05/16,539,
+07DA001,1,2004/05/17,535,
+07DA001,1,2004/05/18,532,
+07DA001,1,2004/05/19,520,
+07DA001,1,2004/05/20,505,
+07DA001,1,2004/05/21,492,
+07DA001,1,2004/05/22,477,
+07DA001,1,2004/05/23,466,
+07DA001,1,2004/05/24,464,
+07DA001,1,2004/05/25,473,
+07DA001,1,2004/05/26,537,A
+07DA001,1,2004/05/27,638,
+07DA001,1,2004/05/28,703,
+07DA001,1,2004/05/29,693,
+07DA001,1,2004/05/30,747,
+07DA001,1,2004/05/31,895,
+07DA001,1,2004/06/01,1060,
+07DA001,1,2004/06/02,1170,
+07DA001,1,2004/06/03,1240,
+07DA001,1,2004/06/04,1300,
+07DA001,1,2004/06/05,1330,
+07DA001,1,2004/06/06,1290,
+07DA001,1,2004/06/07,1210,
+07DA001,1,2004/06/08,1150,
+07DA001,1,2004/06/09,1070,
+07DA001,1,2004/06/10,1030,
+07DA001,1,2004/06/11,1310,
+07DA001,1,2004/06/12,1640,
+07DA001,1,2004/06/13,1550,
+07DA001,1,2004/06/14,1410,
+07DA001,1,2004/06/15,1350,
+07DA001,1,2004/06/16,1540,
+07DA001,1,2004/06/17,1780,
+07DA001,1,2004/06/18,1710,
+07DA001,1,2004/06/19,1580,
+07DA001,1,2004/06/20,1450,
+07DA001,1,2004/06/21,1310,
+07DA001,1,2004/06/22,1220,
+07DA001,1,2004/06/23,1140,
+07DA001,1,2004/06/24,1080,
+07DA001,1,2004/06/25,1030,
+07DA001,1,2004/06/26,1040,
+07DA001,1,2004/06/27,1080,
+07DA001,1,2004/06/28,1100,
+07DA001,1,2004/06/29,1100,
+07DA001,1,2004/06/30,1080,
+07DA001,1,2004/07/01,1020,
+07DA001,1,2004/07/02,962,
+07DA001,1,2004/07/03,917,
+07DA001,1,2004/07/04,869,
+07DA001,1,2004/07/05,848,
+07DA001,1,2004/07/06,884,
+07DA001,1,2004/07/07,939,
+07DA001,1,2004/07/08,1030,
+07DA001,1,2004/07/09,1140,
+07DA001,1,2004/07/10,1190,
+07DA001,1,2004/07/11,1250,
+07DA001,1,2004/07/12,1740,
+07DA001,1,2004/07/13,1960,
+07DA001,1,2004/07/14,1920,
+07DA001,1,2004/07/15,1860,
+07DA001,1,2004/07/16,1930,A
+07DA001,1,2004/07/17,1910,
+07DA001,1,2004/07/18,1770,
+07DA001,1,2004/07/19,1620,
+07DA001,1,2004/07/20,1520,
+07DA001,1,2004/07/21,1440,
+07DA001,1,2004/07/22,1370,
+07DA001,1,2004/07/23,1300,
+07DA001,1,2004/07/24,1250,
+07DA001,1,2004/07/25,1190,
+07DA001,1,2004/07/26,1120,
+07DA001,1,2004/07/27,1050,
+07DA001,1,2004/07/28,956,
+07DA001,1,2004/07/29,915,
+07DA001,1,2004/07/30,897,
+07DA001,1,2004/07/31,876,
+07DA001,1,2004/08/01,862,
+07DA001,1,2004/08/02,826,
+07DA001,1,2004/08/03,770,
+07DA001,1,2004/08/04,723,A
+07DA001,1,2004/08/05,706,
+07DA001,1,2004/08/06,693,
+07DA001,1,2004/08/07,672,
+07DA001,1,2004/08/08,665,
+07DA001,1,2004/08/09,672,
+07DA001,1,2004/08/10,690,
+07DA001,1,2004/08/11,738,
+07DA001,1,2004/08/12,796,
+07DA001,1,2004/08/13,769,
+07DA001,1,2004/08/14,731,
+07DA001,1,2004/08/15,705,
+07DA001,1,2004/08/16,662,
+07DA001,1,2004/08/17,624,
+07DA001,1,2004/08/18,597,
+07DA001,1,2004/08/19,586,
+07DA001,1,2004/08/20,582,
+07DA001,1,2004/08/21,590,
+07DA001,1,2004/08/22,588,
+07DA001,1,2004/08/23,596,
+07DA001,1,2004/08/24,595,
+07DA001,1,2004/08/25,594,
+07DA001,1,2004/08/26,584,
+07DA001,1,2004/08/27,585,
+07DA001,1,2004/08/28,633,
+07DA001,1,2004/08/29,717,
+07DA001,1,2004/08/30,732,
+07DA001,1,2004/08/31,692,
+07DA001,1,2004/09/01,647,
+07DA001,1,2004/09/02,611,
+07DA001,1,2004/09/03,616,
+07DA001,1,2004/09/04,629,
+07DA001,1,2004/09/05,692,
+07DA001,1,2004/09/06,1040,
+07DA001,1,2004/09/07,1360,
+07DA001,1,2004/09/08,1410,
+07DA001,1,2004/09/09,1330,
+07DA001,1,2004/09/10,1270,
+07DA001,1,2004/09/11,1220,
+07DA001,1,2004/09/12,1160,
+07DA001,1,2004/09/13,1100,
+07DA001,1,2004/09/14,1060,
+07DA001,1,2004/09/15,1110,A
+07DA001,1,2004/09/16,1150,
+07DA001,1,2004/09/17,1130,
+07DA001,1,2004/09/18,1090,
+07DA001,1,2004/09/19,1070,
+07DA001,1,2004/09/20,1050,
+07DA001,1,2004/09/21,1060,
+07DA001,1,2004/09/22,1120,
+07DA001,1,2004/09/23,1140,
+07DA001,1,2004/09/24,1130,
+07DA001,1,2004/09/25,1110,
+07DA001,1,2004/09/26,1060,
+07DA001,1,2004/09/27,981,
+07DA001,1,2004/09/28,918,
+07DA001,1,2004/09/29,864,
+07DA001,1,2004/09/30,822,
+07DA001,1,2004/10/01,773,
+07DA001,1,2004/10/02,748,
+07DA001,1,2004/10/03,725,
+07DA001,1,2004/10/04,703,
+07DA001,1,2004/10/05,676,
+07DA001,1,2004/10/06,660,
+07DA001,1,2004/10/07,645,
+07DA001,1,2004/10/08,620,
+07DA001,1,2004/10/09,596,
+07DA001,1,2004/10/10,577,
+07DA001,1,2004/10/11,563,
+07DA001,1,2004/10/12,542,
+07DA001,1,2004/10/13,533,
+07DA001,1,2004/10/14,554,
+07DA001,1,2004/10/15,550,
+07DA001,1,2004/10/16,538,
+07DA001,1,2004/10/17,544,
+07DA001,1,2004/10/18,541,
+07DA001,1,2004/10/19,548,
+07DA001,1,2004/10/20,539,
+07DA001,1,2004/10/21,561,
+07DA001,1,2004/10/22,648,
+07DA001,1,2004/10/23,660,
+07DA001,1,2004/10/24,621,B
+07DA001,1,2004/10/25,556,B
+07DA001,1,2004/10/26,494,B
+07DA001,1,2004/10/27,470,B
+07DA001,1,2004/10/28,429,B
+07DA001,1,2004/10/29,416,B
+07DA001,1,2004/10/30,402,B
+07DA001,1,2004/10/31,410,B
+07DA001,1,2004/11/01,387,B
+07DA001,1,2004/11/02,364,B
+07DA001,1,2004/11/03,360,B
+07DA001,1,2004/11/04,360,B
+07DA001,1,2004/11/05,359,B
+07DA001,1,2004/11/06,362,B
+07DA001,1,2004/11/07,350,B
+07DA001,1,2004/11/08,315,B
+07DA001,1,2004/11/09,303,B
+07DA001,1,2004/11/10,303,B
+07DA001,1,2004/11/11,292,B
+07DA001,1,2004/11/12,257,B
+07DA001,1,2004/11/13,254,B
+07DA001,1,2004/11/14,218,B
+07DA001,1,2004/11/15,234,B
+07DA001,1,2004/11/16,244,B
+07DA001,1,2004/11/17,234,B
+07DA001,1,2004/11/18,230,B
+07DA001,1,2004/11/19,221,B
+07DA001,1,2004/11/20,213,B
+07DA001,1,2004/11/21,189,B
+07DA001,1,2004/11/22,212,B
+07DA001,1,2004/11/23,188,B
+07DA001,1,2004/11/24,184,B
+07DA001,1,2004/11/25,194,B
+07DA001,1,2004/11/26,195,B
+07DA001,1,2004/11/27,202,B
+07DA001,1,2004/11/28,207,B
+07DA001,1,2004/11/29,202,B
+07DA001,1,2004/11/30,187,B
+07DA001,1,2004/12/01,177,B
+07DA001,1,2004/12/02,177,B
+07DA001,1,2004/12/03,187,B
+07DA001,1,2004/12/04,211,B
+07DA001,1,2004/12/05,180,B
+07DA001,1,2004/12/06,162,B
+07DA001,1,2004/12/07,167,B
+07DA001,1,2004/12/08,178,B
+07DA001,1,2004/12/09,191,B
+07DA001,1,2004/12/10,198,B
+07DA001,1,2004/12/11,197,B
+07DA001,1,2004/12/12,195,B
+07DA001,1,2004/12/13,202,B
+07DA001,1,2004/12/14,227,B
+07DA001,1,2004/12/15,196,B
+07DA001,1,2004/12/16,176,B
+07DA001,1,2004/12/17,229,B
+07DA001,1,2004/12/18,208,B
+07DA001,1,2004/12/19,197,B
+07DA001,1,2004/12/20,186,B
+07DA001,1,2004/12/21,172,B
+07DA001,1,2004/12/22,171,B
+07DA001,1,2004/12/23,200,B
+07DA001,1,2004/12/24,217,B
+07DA001,1,2004/12/25,189,B
+07DA001,1,2004/12/26,164,B
+07DA001,1,2004/12/27,155,B
+07DA001,1,2004/12/28,160,B
+07DA001,1,2004/12/29,170,B
+07DA001,1,2004/12/30,175,B
+07DA001,1,2004/12/31,170,B
+07DA001,1,2005/01/01,159,B
+07DA001,1,2005/01/02,151,B
+07DA001,1,2005/01/03,151,B
+07DA001,1,2005/01/04,148,B
+07DA001,1,2005/01/05,144,B
+07DA001,1,2005/01/06,141,B
+07DA001,1,2005/01/07,138,B
+07DA001,1,2005/01/08,137,B
+07DA001,1,2005/01/09,140,B
+07DA001,1,2005/01/10,139,B
+07DA001,1,2005/01/11,136,B
+07DA001,1,2005/01/12,133,B
+07DA001,1,2005/01/13,132,B
+07DA001,1,2005/01/14,130,B
+07DA001,1,2005/01/15,136,B
+07DA001,1,2005/01/16,143,B
+07DA001,1,2005/01/17,145,B
+07DA001,1,2005/01/18,152,B
+07DA001,1,2005/01/19,160,B
+07DA001,1,2005/01/20,167,B
+07DA001,1,2005/01/21,173,B
+07DA001,1,2005/01/22,174,B
+07DA001,1,2005/01/23,181,B
+07DA001,1,2005/01/24,189,B
+07DA001,1,2005/01/25,187,B
+07DA001,1,2005/01/26,183,B
+07DA001,1,2005/01/27,180,B
+07DA001,1,2005/01/28,174,B
+07DA001,1,2005/01/29,174,B
+07DA001,1,2005/01/30,175,B
+07DA001,1,2005/01/31,175,B
+07DA001,1,2005/02/01,181,B
+07DA001,1,2005/02/02,181,B
+07DA001,1,2005/02/03,182,B
+07DA001,1,2005/02/04,189,B
+07DA001,1,2005/02/05,198,B
+07DA001,1,2005/02/06,192,B
+07DA001,1,2005/02/07,192,B
+07DA001,1,2005/02/08,194,B
+07DA001,1,2005/02/09,192,B
+07DA001,1,2005/02/10,193,B
+07DA001,1,2005/02/11,187,B
+07DA001,1,2005/02/12,181,B
+07DA001,1,2005/02/13,180,B
+07DA001,1,2005/02/14,181,B
+07DA001,1,2005/02/15,174,B
+07DA001,1,2005/02/16,165,B
+07DA001,1,2005/02/17,166,B
+07DA001,1,2005/02/18,172,B
+07DA001,1,2005/02/19,173,B
+07DA001,1,2005/02/20,177,B
+07DA001,1,2005/02/21,181,B
+07DA001,1,2005/02/22,183,B
+07DA001,1,2005/02/23,184,B
+07DA001,1,2005/02/24,183,B
+07DA001,1,2005/02/25,181,B
+07DA001,1,2005/02/26,179,B
+07DA001,1,2005/02/27,178,B
+07DA001,1,2005/02/28,178,B
+07DA001,1,2005/03/01,180,B
+07DA001,1,2005/03/02,178,B
+07DA001,1,2005/03/03,181,B
+07DA001,1,2005/03/04,182,B
+07DA001,1,2005/03/05,184,B
+07DA001,1,2005/03/06,187,B
+07DA001,1,2005/03/07,188,B
+07DA001,1,2005/03/08,193,B
+07DA001,1,2005/03/09,199,B
+07DA001,1,2005/03/10,227,B
+07DA001,1,2005/03/11,239,B
+07DA001,1,2005/03/12,235,B
+07DA001,1,2005/03/13,248,B
+07DA001,1,2005/03/14,257,B
+07DA001,1,2005/03/15,264,B
+07DA001,1,2005/03/16,283,B
+07DA001,1,2005/03/17,318,B
+07DA001,1,2005/03/18,329,B
+07DA001,1,2005/03/19,332,B
+07DA001,1,2005/03/20,333,B
+07DA001,1,2005/03/21,332,B
+07DA001,1,2005/03/22,327,B
+07DA001,1,2005/03/23,315,B
+07DA001,1,2005/03/24,295,B
+07DA001,1,2005/03/25,273,B
+07DA001,1,2005/03/26,255,B
+07DA001,1,2005/03/27,240,B
+07DA001,1,2005/03/28,233,B
+07DA001,1,2005/03/29,229,B
+07DA001,1,2005/03/30,224,B
+07DA001,1,2005/03/31,227,B
+07DA001,1,2005/04/01,235,B
+07DA001,1,2005/04/02,244,B
+07DA001,1,2005/04/03,244,B
+07DA001,1,2005/04/04,247,B
+07DA001,1,2005/04/05,255,B
+07DA001,1,2005/04/06,260,B
+07DA001,1,2005/04/07,320,B
+07DA001,1,2005/04/08,360,B
+07DA001,1,2005/04/09,480,B
+07DA001,1,2005/04/10,570,B
+07DA001,1,2005/04/11,595,B
+07DA001,1,2005/04/12,600,B
+07DA001,1,2005/04/13,595,B
+07DA001,1,2005/04/14,590,B
+07DA001,1,2005/04/15,600,B
+07DA001,1,2005/04/16,750,B
+07DA001,1,2005/04/17,990,B
+07DA001,1,2005/04/18,1010,B
+07DA001,1,2005/04/19,1020,B
+07DA001,1,2005/04/20,1070,B
+07DA001,1,2005/04/21,1120,B
+07DA001,1,2005/04/22,1140,
+07DA001,1,2005/04/23,1110,
+07DA001,1,2005/04/24,1110,
+07DA001,1,2005/04/25,1110,
+07DA001,1,2005/04/26,1090,
+07DA001,1,2005/04/27,1070,
+07DA001,1,2005/04/28,1070,
+07DA001,1,2005/04/29,1050,
+07DA001,1,2005/04/30,1010,
+07DA001,1,2005/05/01,991,
+07DA001,1,2005/05/02,976,
+07DA001,1,2005/05/03,948,
+07DA001,1,2005/05/04,897,
+07DA001,1,2005/05/05,841,
+07DA001,1,2005/05/06,796,
+07DA001,1,2005/05/07,754,
+07DA001,1,2005/05/08,722,
+07DA001,1,2005/05/09,700,
+07DA001,1,2005/05/10,673,
+07DA001,1,2005/05/11,655,
+07DA001,1,2005/05/12,682,
+07DA001,1,2005/05/13,941,
+07DA001,1,2005/05/14,962,
+07DA001,1,2005/05/15,954,
+07DA001,1,2005/05/16,928,
+07DA001,1,2005/05/17,886,
+07DA001,1,2005/05/18,890,
+07DA001,1,2005/05/19,986,
+07DA001,1,2005/05/20,1150,
+07DA001,1,2005/05/21,1610,
+07DA001,1,2005/05/22,1950,
+07DA001,1,2005/05/23,1930,
+07DA001,1,2005/05/24,1810,
+07DA001,1,2005/05/25,1730,
+07DA001,1,2005/05/26,1640,
+07DA001,1,2005/05/27,1560,
+07DA001,1,2005/05/28,1480,
+07DA001,1,2005/05/29,1410,
+07DA001,1,2005/05/30,1330,
+07DA001,1,2005/05/31,1250,A
+07DA001,1,2005/06/01,1190,
+07DA001,1,2005/06/02,1130,
+07DA001,1,2005/06/03,1040,
+07DA001,1,2005/06/04,989,
+07DA001,1,2005/06/05,1020,
+07DA001,1,2005/06/06,1060,
+07DA001,1,2005/06/07,1080,
+07DA001,1,2005/06/08,1060,
+07DA001,1,2005/06/09,1020,
+07DA001,1,2005/06/10,1030,
+07DA001,1,2005/06/11,1050,
+07DA001,1,2005/06/12,1040,
+07DA001,1,2005/06/13,992,A
+07DA001,1,2005/06/14,986,
+07DA001,1,2005/06/15,1020,
+07DA001,1,2005/06/16,1130,
+07DA001,1,2005/06/17,1360,A
+07DA001,1,2005/06/18,1520,
+07DA001,1,2005/06/19,1530,
+07DA001,1,2005/06/20,1480,
+07DA001,1,2005/06/21,1400,
+07DA001,1,2005/06/22,1330,
+07DA001,1,2005/06/23,1640,
+07DA001,1,2005/06/24,1840,
+07DA001,1,2005/06/25,1770,
+07DA001,1,2005/06/26,1770,
+07DA001,1,2005/06/27,1780,
+07DA001,1,2005/06/28,1820,
+07DA001,1,2005/06/29,1690,
+07DA001,1,2005/06/30,1610,
+07DA001,1,2005/07/01,1830,
+07DA001,1,2005/07/02,2280,
+07DA001,1,2005/07/03,2410,
+07DA001,1,2005/07/04,2320,
+07DA001,1,2005/07/05,2200,
+07DA001,1,2005/07/06,2030,
+07DA001,1,2005/07/07,1860,
+07DA001,1,2005/07/08,1680,
+07DA001,1,2005/07/09,1540,
+07DA001,1,2005/07/10,1440,
+07DA001,1,2005/07/11,1390,
+07DA001,1,2005/07/12,1430,
+07DA001,1,2005/07/13,1400,
+07DA001,1,2005/07/14,1290,
+07DA001,1,2005/07/15,1230,
+07DA001,1,2005/07/16,1150,
+07DA001,1,2005/07/17,1080,
+07DA001,1,2005/07/18,1030,
+07DA001,1,2005/07/19,987,
+07DA001,1,2005/07/20,967,
+07DA001,1,2005/07/21,944,
+07DA001,1,2005/07/22,975,
+07DA001,1,2005/07/23,1020,
+07DA001,1,2005/07/24,1160,
+07DA001,1,2005/07/25,1340,
+07DA001,1,2005/07/26,1410,
+07DA001,1,2005/07/27,1440,
+07DA001,1,2005/07/28,1480,
+07DA001,1,2005/07/29,1530,A
+07DA001,1,2005/07/30,1510,
+07DA001,1,2005/07/31,1440,
+07DA001,1,2005/08/01,1380,
+07DA001,1,2005/08/02,1320,A
+07DA001,1,2005/08/03,1290,
+07DA001,1,2005/08/04,1260,
+07DA001,1,2005/08/05,1240,
+07DA001,1,2005/08/06,1170,
+07DA001,1,2005/08/07,1110,
+07DA001,1,2005/08/08,1060,
+07DA001,1,2005/08/09,997,
+07DA001,1,2005/08/10,924,
+07DA001,1,2005/08/11,894,
+07DA001,1,2005/08/12,864,
+07DA001,1,2005/08/13,861,
+07DA001,1,2005/08/14,863,
+07DA001,1,2005/08/15,844,
+07DA001,1,2005/08/16,823,
+07DA001,1,2005/08/17,814,
+07DA001,1,2005/08/18,837,
+07DA001,1,2005/08/19,882,
+07DA001,1,2005/08/20,926,
+07DA001,1,2005/08/21,1000,
+07DA001,1,2005/08/22,1140,
+07DA001,1,2005/08/23,1270,
+07DA001,1,2005/08/24,1260,
+07DA001,1,2005/08/25,1160,
+07DA001,1,2005/08/26,1090,
+07DA001,1,2005/08/27,1040,
+07DA001,1,2005/08/28,988,
+07DA001,1,2005/08/29,953,
+07DA001,1,2005/08/30,898,
+07DA001,1,2005/08/31,845,A
+07DA001,1,2005/09/01,793,
+07DA001,1,2005/09/02,759,
+07DA001,1,2005/09/03,739,
+07DA001,1,2005/09/04,770,
+07DA001,1,2005/09/05,860,
+07DA001,1,2005/09/06,845,
+07DA001,1,2005/09/07,784,
+07DA001,1,2005/09/08,742,
+07DA001,1,2005/09/09,782,
+07DA001,1,2005/09/10,808,A
+07DA001,1,2005/09/11,774,A
+07DA001,1,2005/09/12,737,
+07DA001,1,2005/09/13,697,
+07DA001,1,2005/09/14,665,
+07DA001,1,2005/09/15,655,
+07DA001,1,2005/09/16,900,
+07DA001,1,2005/09/17,968,
+07DA001,1,2005/09/18,931,
+07DA001,1,2005/09/19,967,
+07DA001,1,2005/09/20,978,A
+07DA001,1,2005/09/21,986,A
+07DA001,1,2005/09/22,968,A
+07DA001,1,2005/09/23,916,
+07DA001,1,2005/09/24,870,
+07DA001,1,2005/09/25,841,A
+07DA001,1,2005/09/26,819,
+07DA001,1,2005/09/27,785,
+07DA001,1,2005/09/28,743,
+07DA001,1,2005/09/29,716,
+07DA001,1,2005/09/30,690,
+07DA001,1,2005/10/01,667,
+07DA001,1,2005/10/02,649,
+07DA001,1,2005/10/03,650,
+07DA001,1,2005/10/04,656,
+07DA001,1,2005/10/05,634,
+07DA001,1,2005/10/06,634,
+07DA001,1,2005/10/07,667,
+07DA001,1,2005/10/08,679,
+07DA001,1,2005/10/09,676,A
+07DA001,1,2005/10/10,660,
+07DA001,1,2005/10/11,651,A
+07DA001,1,2005/10/12,638,A
+07DA001,1,2005/10/13,622,A
+07DA001,1,2005/10/14,601,
+07DA001,1,2005/10/15,592,
+07DA001,1,2005/10/16,579,A
+07DA001,1,2005/10/17,555,
+07DA001,1,2005/10/18,547,
+07DA001,1,2005/10/19,540,
+07DA001,1,2005/10/20,531,
+07DA001,1,2005/10/21,525,
+07DA001,1,2005/10/22,521,
+07DA001,1,2005/10/23,520,
+07DA001,1,2005/10/24,531,A
+07DA001,1,2005/10/25,531,
+07DA001,1,2005/10/26,520,
+07DA001,1,2005/10/27,509,
+07DA001,1,2005/10/28,503,
+07DA001,1,2005/10/29,492,
+07DA001,1,2005/10/30,486,
+07DA001,1,2005/10/31,486,
+07DA001,1,2005/11/01,490,
+07DA001,1,2005/11/02,491,
+07DA001,1,2005/11/03,485,
+07DA001,1,2005/11/04,476,
+07DA001,1,2005/11/05,464,
+07DA001,1,2005/11/06,460,
+07DA001,1,2005/11/07,451,
+07DA001,1,2005/11/08,441,
+07DA001,1,2005/11/09,430,B
+07DA001,1,2005/11/10,410,B
+07DA001,1,2005/11/11,400,B
+07DA001,1,2005/11/12,390,B
+07DA001,1,2005/11/13,360,B
+07DA001,1,2005/11/14,350,B
+07DA001,1,2005/11/15,360,B
+07DA001,1,2005/11/16,370,B
+07DA001,1,2005/11/17,375,B
+07DA001,1,2005/11/18,380,B
+07DA001,1,2005/11/19,385,B
+07DA001,1,2005/11/20,390,B
+07DA001,1,2005/11/21,385,B
+07DA001,1,2005/11/22,375,B
+07DA001,1,2005/11/23,368,B
+07DA001,1,2005/11/24,360,B
+07DA001,1,2005/11/25,345,B
+07DA001,1,2005/11/26,330,B
+07DA001,1,2005/11/27,310,B
+07DA001,1,2005/11/28,290,B
+07DA001,1,2005/11/29,280,B
+07DA001,1,2005/11/30,270,B
+07DA001,1,2005/12/01,260,B
+07DA001,1,2005/12/02,250,B
+07DA001,1,2005/12/03,230,B
+07DA001,1,2005/12/04,210,B
+07DA001,1,2005/12/05,205,B
+07DA001,1,2005/12/06,200,B
+07DA001,1,2005/12/07,200,B
+07DA001,1,2005/12/08,203,B
+07DA001,1,2005/12/09,205,B
+07DA001,1,2005/12/10,208,B
+07DA001,1,2005/12/11,216,B
+07DA001,1,2005/12/12,224,B
+07DA001,1,2005/12/13,232,B
+07DA001,1,2005/12/14,240,B
+07DA001,1,2005/12/15,238,B
+07DA001,1,2005/12/16,235,B
+07DA001,1,2005/12/17,230,B
+07DA001,1,2005/12/18,224,B
+07DA001,1,2005/12/19,219,B
+07DA001,1,2005/12/20,213,B
+07DA001,1,2005/12/21,216,B
+07DA001,1,2005/12/22,218,B
+07DA001,1,2005/12/23,219,B
+07DA001,1,2005/12/24,220,B
+07DA001,1,2005/12/25,219,B
+07DA001,1,2005/12/26,218,B
+07DA001,1,2005/12/27,215,B
+07DA001,1,2005/12/28,213,B
+07DA001,1,2005/12/29,210,B
+07DA001,1,2005/12/30,205,B
+07DA001,1,2005/12/31,200,B
+07DA001,1,2006/01/01,195,B
+07DA001,1,2006/01/02,190,B
+07DA001,1,2006/01/03,185,B
+07DA001,1,2006/01/04,180,B
+07DA001,1,2006/01/05,177,B
+07DA001,1,2006/01/06,175,B
+07DA001,1,2006/01/07,174,B
+07DA001,1,2006/01/08,175,B
+07DA001,1,2006/01/09,176,B
+07DA001,1,2006/01/10,177,B
+07DA001,1,2006/01/11,178,B
+07DA001,1,2006/01/12,178,B
+07DA001,1,2006/01/13,179,B
+07DA001,1,2006/01/14,180,B
+07DA001,1,2006/01/15,179,B
+07DA001,1,2006/01/16,177,B
+07DA001,1,2006/01/17,175,B
+07DA001,1,2006/01/18,173,B
+07DA001,1,2006/01/19,175,B
+07DA001,1,2006/01/20,179,B
+07DA001,1,2006/01/21,185,B
+07DA001,1,2006/01/22,190,B
+07DA001,1,2006/01/23,199,B
+07DA001,1,2006/01/24,199,B
+07DA001,1,2006/01/25,200,B
+07DA001,1,2006/01/26,190,B
+07DA001,1,2006/01/27,186,B
+07DA001,1,2006/01/28,187,B
+07DA001,1,2006/01/29,190,B
+07DA001,1,2006/01/30,195,B
+07DA001,1,2006/01/31,200,B
+07DA001,1,2006/02/01,205,B
+07DA001,1,2006/02/02,208,B
+07DA001,1,2006/02/03,210,B
+07DA001,1,2006/02/04,210,B
+07DA001,1,2006/02/05,210,B
+07DA001,1,2006/02/06,209,B
+07DA001,1,2006/02/07,208,B
+07DA001,1,2006/02/08,207,B
+07DA001,1,2006/02/09,205,B
+07DA001,1,2006/02/10,202,B
+07DA001,1,2006/02/11,192,B
+07DA001,1,2006/02/12,193,B
+07DA001,1,2006/02/13,193,B
+07DA001,1,2006/02/14,188,B
+07DA001,1,2006/02/15,179,B
+07DA001,1,2006/02/16,168,B
+07DA001,1,2006/02/17,158,B
+07DA001,1,2006/02/18,154,B
+07DA001,1,2006/02/19,156,B
+07DA001,1,2006/02/20,158,B
+07DA001,1,2006/02/21,160,B
+07DA001,1,2006/02/22,161,B
+07DA001,1,2006/02/23,160,B
+07DA001,1,2006/02/24,158,B
+07DA001,1,2006/02/25,156,B
+07DA001,1,2006/02/26,154,B
+07DA001,1,2006/02/27,152,B
+07DA001,1,2006/02/28,149,B
+07DA001,1,2006/03/01,150,B
+07DA001,1,2006/03/02,152,B
+07DA001,1,2006/03/03,154,B
+07DA001,1,2006/03/04,156,B
+07DA001,1,2006/03/05,158,B
+07DA001,1,2006/03/06,159,B
+07DA001,1,2006/03/07,160,B
+07DA001,1,2006/03/08,162,B
+07DA001,1,2006/03/09,160,B
+07DA001,1,2006/03/10,159,B
+07DA001,1,2006/03/11,158,B
+07DA001,1,2006/03/12,156,B
+07DA001,1,2006/03/13,157,B
+07DA001,1,2006/03/14,155,B
+07DA001,1,2006/03/15,157,B
+07DA001,1,2006/03/16,159,B
+07DA001,1,2006/03/17,159,B
+07DA001,1,2006/03/18,160,B
+07DA001,1,2006/03/19,160,B
+07DA001,1,2006/03/20,160,B
+07DA001,1,2006/03/21,158,B
+07DA001,1,2006/03/22,155,B
+07DA001,1,2006/03/23,153,B
+07DA001,1,2006/03/24,153,B
+07DA001,1,2006/03/25,155,B
+07DA001,1,2006/03/26,158,B
+07DA001,1,2006/03/27,162,B
+07DA001,1,2006/03/28,161,B
+07DA001,1,2006/03/29,163,B
+07DA001,1,2006/03/30,163,B
+07DA001,1,2006/03/31,164,B
+07DA001,1,2006/04/01,167,B
+07DA001,1,2006/04/02,168,B
+07DA001,1,2006/04/03,171,B
+07DA001,1,2006/04/04,176,B
+07DA001,1,2006/04/05,179,B
+07DA001,1,2006/04/06,187,B
+07DA001,1,2006/04/07,203,B
+07DA001,1,2006/04/08,216,B
+07DA001,1,2006/04/09,235,B
+07DA001,1,2006/04/10,240,B
+07DA001,1,2006/04/11,257,B
+07DA001,1,2006/04/12,255,B
+07DA001,1,2006/04/13,274,B
+07DA001,1,2006/04/14,345,B
+07DA001,1,2006/04/15,591,B
+07DA001,1,2006/04/16,700,B
+07DA001,1,2006/04/17,800,B
+07DA001,1,2006/04/18,850,B
+07DA001,1,2006/04/19,860,B
+07DA001,1,2006/04/20,839,
+07DA001,1,2006/04/21,801,
+07DA001,1,2006/04/22,808,
+07DA001,1,2006/04/23,767,
+07DA001,1,2006/04/24,640,
+07DA001,1,2006/04/25,568,
+07DA001,1,2006/04/26,531,
+07DA001,1,2006/04/27,508,
+07DA001,1,2006/04/28,485,
+07DA001,1,2006/04/29,469,
+07DA001,1,2006/04/30,464,
+07DA001,1,2006/05/01,463,
+07DA001,1,2006/05/02,489,
+07DA001,1,2006/05/03,509,
+07DA001,1,2006/05/04,534,
+07DA001,1,2006/05/05,565,
+07DA001,1,2006/05/06,577,
+07DA001,1,2006/05/07,588,
+07DA001,1,2006/05/08,589,
+07DA001,1,2006/05/09,607,
+07DA001,1,2006/05/10,614,
+07DA001,1,2006/05/11,609,
+07DA001,1,2006/05/12,610,
+07DA001,1,2006/05/13,651,
+07DA001,1,2006/05/14,705,
+07DA001,1,2006/05/15,721,
+07DA001,1,2006/05/16,705,
+07DA001,1,2006/05/17,691,
+07DA001,1,2006/05/18,679,
+07DA001,1,2006/05/19,657,
+07DA001,1,2006/05/20,617,
+07DA001,1,2006/05/21,604,
+07DA001,1,2006/05/22,609,
+07DA001,1,2006/05/23,620,
+07DA001,1,2006/05/24,774,
+07DA001,1,2006/05/25,1100,
+07DA001,1,2006/05/26,1200,
+07DA001,1,2006/05/27,1300,
+07DA001,1,2006/05/28,1320,
+07DA001,1,2006/05/29,1450,
+07DA001,1,2006/05/30,1560,
+07DA001,1,2006/05/31,1430,
+07DA001,1,2006/06/01,1310,A
+07DA001,1,2006/06/02,1210,A
+07DA001,1,2006/06/03,1130,
+07DA001,1,2006/06/04,1060,
+07DA001,1,2006/06/05,998,
+07DA001,1,2006/06/06,953,
+07DA001,1,2006/06/07,928,
+07DA001,1,2006/06/08,939,
+07DA001,1,2006/06/09,1000,
+07DA001,1,2006/06/10,960,
+07DA001,1,2006/06/11,888,
+07DA001,1,2006/06/12,829,
+07DA001,1,2006/06/13,793,
+07DA001,1,2006/06/14,781,
+07DA001,1,2006/06/15,853,
+07DA001,1,2006/06/16,925,
+07DA001,1,2006/06/17,922,
+07DA001,1,2006/06/18,906,
+07DA001,1,2006/06/19,910,
+07DA001,1,2006/06/20,1020,
+07DA001,1,2006/06/21,1370,
+07DA001,1,2006/06/22,1370,
+07DA001,1,2006/06/23,1220,
+07DA001,1,2006/06/24,1100,
+07DA001,1,2006/06/25,1010,
+07DA001,1,2006/06/26,933,
+07DA001,1,2006/06/27,879,
+07DA001,1,2006/06/28,812,
+07DA001,1,2006/06/29,752,
+07DA001,1,2006/06/30,707,
+07DA001,1,2006/07/01,684,
+07DA001,1,2006/07/02,677,
+07DA001,1,2006/07/03,694,
+07DA001,1,2006/07/04,714,
+07DA001,1,2006/07/05,716,
+07DA001,1,2006/07/06,682,
+07DA001,1,2006/07/07,643,
+07DA001,1,2006/07/08,615,
+07DA001,1,2006/07/09,604,
+07DA001,1,2006/07/10,617,
+07DA001,1,2006/07/11,697,
+07DA001,1,2006/07/12,739,
+07DA001,1,2006/07/13,791,
+07DA001,1,2006/07/14,847,
+07DA001,1,2006/07/15,816,
+07DA001,1,2006/07/16,839,
+07DA001,1,2006/07/17,884,
+07DA001,1,2006/07/18,831,
+07DA001,1,2006/07/19,785,
+07DA001,1,2006/07/20,762,
+07DA001,1,2006/07/21,721,
+07DA001,1,2006/07/22,676,
+07DA001,1,2006/07/23,632,
+07DA001,1,2006/07/24,602,
+07DA001,1,2006/07/25,577,
+07DA001,1,2006/07/26,547,
+07DA001,1,2006/07/27,530,
+07DA001,1,2006/07/28,525,
+07DA001,1,2006/07/29,550,
+07DA001,1,2006/07/30,598,
+07DA001,1,2006/07/31,655,
+07DA001,1,2006/08/01,693,
+07DA001,1,2006/08/02,701,
+07DA001,1,2006/08/03,739,
+07DA001,1,2006/08/04,839,
+07DA001,1,2006/08/05,844,
+07DA001,1,2006/08/06,787,
+07DA001,1,2006/08/07,715,
+07DA001,1,2006/08/08,659,
+07DA001,1,2006/08/09,621,
+07DA001,1,2006/08/10,589,
+07DA001,1,2006/08/11,571,
+07DA001,1,2006/08/12,582,
+07DA001,1,2006/08/13,572,
+07DA001,1,2006/08/14,559,
+07DA001,1,2006/08/15,574,
+07DA001,1,2006/08/16,593,
+07DA001,1,2006/08/17,593,
+07DA001,1,2006/08/18,577,
+07DA001,1,2006/08/19,571,
+07DA001,1,2006/08/20,552,
+07DA001,1,2006/08/21,531,
+07DA001,1,2006/08/22,533,
+07DA001,1,2006/08/23,535,
+07DA001,1,2006/08/24,512,
+07DA001,1,2006/08/25,498,
+07DA001,1,2006/08/26,492,
+07DA001,1,2006/08/27,484,
+07DA001,1,2006/08/28,471,
+07DA001,1,2006/08/29,462,
+07DA001,1,2006/08/30,460,
+07DA001,1,2006/08/31,479,
+07DA001,1,2006/09/01,477,
+07DA001,1,2006/09/02,465,
+07DA001,1,2006/09/03,465,
+07DA001,1,2006/09/04,462,
+07DA001,1,2006/09/05,462,
+07DA001,1,2006/09/06,467,
+07DA001,1,2006/09/07,457,
+07DA001,1,2006/09/08,432,
+07DA001,1,2006/09/09,405,
+07DA001,1,2006/09/10,388,
+07DA001,1,2006/09/11,385,
+07DA001,1,2006/09/12,387,
+07DA001,1,2006/09/13,383,
+07DA001,1,2006/09/14,389,
+07DA001,1,2006/09/15,393,
+07DA001,1,2006/09/16,393,
+07DA001,1,2006/09/17,402,
+07DA001,1,2006/09/18,407,
+07DA001,1,2006/09/19,405,
+07DA001,1,2006/09/20,408,
+07DA001,1,2006/09/21,423,
+07DA001,1,2006/09/22,424,
+07DA001,1,2006/09/23,415,
+07DA001,1,2006/09/24,412,
+07DA001,1,2006/09/25,409,
+07DA001,1,2006/09/26,424,
+07DA001,1,2006/09/27,462,
+07DA001,1,2006/09/28,505,
+07DA001,1,2006/09/29,533,
+07DA001,1,2006/09/30,546,
+07DA001,1,2006/10/01,558,
+07DA001,1,2006/10/02,586,
+07DA001,1,2006/10/03,614,
+07DA001,1,2006/10/04,611,
+07DA001,1,2006/10/05,586,
+07DA001,1,2006/10/06,560,
+07DA001,1,2006/10/07,540,
+07DA001,1,2006/10/08,524,
+07DA001,1,2006/10/09,502,
+07DA001,1,2006/10/10,476,
+07DA001,1,2006/10/11,450,
+07DA001,1,2006/10/12,432,
+07DA001,1,2006/10/13,418,A
+07DA001,1,2006/10/14,408,
+07DA001,1,2006/10/15,399,
+07DA001,1,2006/10/16,391,
+07DA001,1,2006/10/17,382,
+07DA001,1,2006/10/18,375,
+07DA001,1,2006/10/19,372,A
+07DA001,1,2006/10/20,370,
+07DA001,1,2006/10/21,371,
+07DA001,1,2006/10/22,372,
+07DA001,1,2006/10/23,375,
+07DA001,1,2006/10/24,376,
+07DA001,1,2006/10/25,379,
+07DA001,1,2006/10/26,379,
+07DA001,1,2006/10/27,379,
+07DA001,1,2006/10/28,382,
+07DA001,1,2006/10/29,373,B
+07DA001,1,2006/10/30,357,B
+07DA001,1,2006/10/31,339,B
+07DA001,1,2006/11/01,334,B
+07DA001,1,2006/11/02,327,B
+07DA001,1,2006/11/03,319,B
+07DA001,1,2006/11/04,313,B
+07DA001,1,2006/11/05,319,B
+07DA001,1,2006/11/06,323,B
+07DA001,1,2006/11/07,302,B
+07DA001,1,2006/11/08,312,B
+07DA001,1,2006/11/09,302,B
+07DA001,1,2006/11/10,298,B
+07DA001,1,2006/11/11,297,B
+07DA001,1,2006/11/12,296,B
+07DA001,1,2006/11/13,295,B
+07DA001,1,2006/11/14,295,B
+07DA001,1,2006/11/15,296,B
+07DA001,1,2006/11/16,311,B
+07DA001,1,2006/11/17,311,B
+07DA001,1,2006/11/18,288,B
+07DA001,1,2006/11/19,277,B
+07DA001,1,2006/11/20,283,B
+07DA001,1,2006/11/21,290,B
+07DA001,1,2006/11/22,281,B
+07DA001,1,2006/11/23,281,B
+07DA001,1,2006/11/24,270,B
+07DA001,1,2006/11/25,255,B
+07DA001,1,2006/11/26,245,B
+07DA001,1,2006/11/27,235,B
+07DA001,1,2006/11/28,228,B
+07DA001,1,2006/11/29,221,B
+07DA001,1,2006/11/30,219,B
+07DA001,1,2006/12/01,218,B
+07DA001,1,2006/12/02,219,B
+07DA001,1,2006/12/03,220,B
+07DA001,1,2006/12/04,221,B
+07DA001,1,2006/12/05,226,B
+07DA001,1,2006/12/06,228,B
+07DA001,1,2006/12/07,230,B
+07DA001,1,2006/12/08,232,B
+07DA001,1,2006/12/09,232,B
+07DA001,1,2006/12/10,238,B
+07DA001,1,2006/12/11,244,B
+07DA001,1,2006/12/12,233,B
+07DA001,1,2006/12/13,237,B
+07DA001,1,2006/12/14,234,B
+07DA001,1,2006/12/15,222,B
+07DA001,1,2006/12/16,219,B
+07DA001,1,2006/12/17,210,B
+07DA001,1,2006/12/18,212,B
+07DA001,1,2006/12/19,214,B
+07DA001,1,2006/12/20,216,B
+07DA001,1,2006/12/21,211,B
+07DA001,1,2006/12/22,204,B
+07DA001,1,2006/12/23,202,B
+07DA001,1,2006/12/24,201,B
+07DA001,1,2006/12/25,192,B
+07DA001,1,2006/12/26,187,B
+07DA001,1,2006/12/27,185,B
+07DA001,1,2006/12/28,176,B
+07DA001,1,2006/12/29,168,B
+07DA001,1,2006/12/30,162,B
+07DA001,1,2006/12/31,155,B
+07DA001,1,2007/01/01,153,B
+07DA001,1,2007/01/02,153,B
+07DA001,1,2007/01/03,159,B
+07DA001,1,2007/01/04,162,B
+07DA001,1,2007/01/05,158,B
+07DA001,1,2007/01/06,156,B
+07DA001,1,2007/01/07,156,B
+07DA001,1,2007/01/08,158,B
+07DA001,1,2007/01/09,159,B
+07DA001,1,2007/01/10,155,B
+07DA001,1,2007/01/11,151,B
+07DA001,1,2007/01/12,150,B
+07DA001,1,2007/01/13,152,B
+07DA001,1,2007/01/14,152,B
+07DA001,1,2007/01/15,154,B
+07DA001,1,2007/01/16,155,B
+07DA001,1,2007/01/17,154,B
+07DA001,1,2007/01/18,148,B
+07DA001,1,2007/01/19,148,B
+07DA001,1,2007/01/20,147,B
+07DA001,1,2007/01/21,145,B
+07DA001,1,2007/01/22,144,B
+07DA001,1,2007/01/23,140,B
+07DA001,1,2007/01/24,135,B
+07DA001,1,2007/01/25,131,B
+07DA001,1,2007/01/26,133,B
+07DA001,1,2007/01/27,136,B
+07DA001,1,2007/01/28,140,B
+07DA001,1,2007/01/29,142,B
+07DA001,1,2007/01/30,143,B
+07DA001,1,2007/01/31,143,B
+07DA001,1,2007/02/01,143,B
+07DA001,1,2007/02/02,144,B
+07DA001,1,2007/02/03,142,B
+07DA001,1,2007/02/04,141,B
+07DA001,1,2007/02/05,143,B
+07DA001,1,2007/02/06,143,B
+07DA001,1,2007/02/07,141,B
+07DA001,1,2007/02/08,137,B
+07DA001,1,2007/02/09,131,B
+07DA001,1,2007/02/10,127,B
+07DA001,1,2007/02/11,125,B
+07DA001,1,2007/02/12,124,B
+07DA001,1,2007/02/13,122,B
+07DA001,1,2007/02/14,120,B
+07DA001,1,2007/02/15,121,B
+07DA001,1,2007/02/16,121,B
+07DA001,1,2007/02/17,122,B
+07DA001,1,2007/02/18,126,B
+07DA001,1,2007/02/19,126,B
+07DA001,1,2007/02/20,124,B
+07DA001,1,2007/02/21,121,B
+07DA001,1,2007/02/22,120,B
+07DA001,1,2007/02/23,122,B
+07DA001,1,2007/02/24,123,B
+07DA001,1,2007/02/25,123,B
+07DA001,1,2007/02/26,122,B
+07DA001,1,2007/02/27,125,B
+07DA001,1,2007/02/28,127,B
+07DA001,1,2007/03/01,130,B
+07DA001,1,2007/03/02,131,B
+07DA001,1,2007/03/03,133,B
+07DA001,1,2007/03/04,133,B
+07DA001,1,2007/03/05,132,B
+07DA001,1,2007/03/06,131,B
+07DA001,1,2007/03/07,130,B
+07DA001,1,2007/03/08,129,B
+07DA001,1,2007/03/09,129,B
+07DA001,1,2007/03/10,131,B
+07DA001,1,2007/03/11,132,B
+07DA001,1,2007/03/12,133,B
+07DA001,1,2007/03/13,133,B
+07DA001,1,2007/03/14,132,B
+07DA001,1,2007/03/15,131,B
+07DA001,1,2007/03/16,134,B
+07DA001,1,2007/03/17,137,B
+07DA001,1,2007/03/18,139,B
+07DA001,1,2007/03/19,141,B
+07DA001,1,2007/03/20,144,B
+07DA001,1,2007/03/21,146,B
+07DA001,1,2007/03/22,145,B
+07DA001,1,2007/03/23,146,B
+07DA001,1,2007/03/24,149,B
+07DA001,1,2007/03/25,156,B
+07DA001,1,2007/03/26,157,B
+07DA001,1,2007/03/27,157,B
+07DA001,1,2007/03/28,161,B
+07DA001,1,2007/03/29,162,B
+07DA001,1,2007/03/30,168,B
+07DA001,1,2007/03/31,172,B
+07DA001,1,2007/04/01,172,B
+07DA001,1,2007/04/02,170,B
+07DA001,1,2007/04/03,170,B
+07DA001,1,2007/04/04,169,B
+07DA001,1,2007/04/05,171,B
+07DA001,1,2007/04/06,172,B
+07DA001,1,2007/04/07,172,B
+07DA001,1,2007/04/08,173,B
+07DA001,1,2007/04/09,172,B
+07DA001,1,2007/04/10,169,B
+07DA001,1,2007/04/11,168,B
+07DA001,1,2007/04/12,169,B
+07DA001,1,2007/04/13,168,B
+07DA001,1,2007/04/14,170,B
+07DA001,1,2007/04/15,183,B
+07DA001,1,2007/04/16,198,B
+07DA001,1,2007/04/17,237,B
+07DA001,1,2007/04/18,317,B
+07DA001,1,2007/04/19,420,B
+07DA001,1,2007/04/20,1200,B
+07DA001,1,2007/04/21,1800,B
+07DA001,1,2007/04/22,1760,B
+07DA001,1,2007/04/23,1630,B
+07DA001,1,2007/04/24,1530,
+07DA001,1,2007/04/25,1590,
+07DA001,1,2007/04/26,1640,
+07DA001,1,2007/04/27,1710,
+07DA001,1,2007/04/28,1740,
+07DA001,1,2007/04/29,1780,
+07DA001,1,2007/04/30,1810,
+07DA001,1,2007/05/01,1790,
+07DA001,1,2007/05/02,1750,
+07DA001,1,2007/05/03,1690,
+07DA001,1,2007/05/04,1630,
+07DA001,1,2007/05/05,1590,
+07DA001,1,2007/05/06,1620,
+07DA001,1,2007/05/07,1920,
+07DA001,1,2007/05/08,2840,
+07DA001,1,2007/05/09,3170,A
+07DA001,1,2007/05/10,2980,
+07DA001,1,2007/05/11,2760,
+07DA001,1,2007/05/12,2670,
+07DA001,1,2007/05/13,2620,
+07DA001,1,2007/05/14,2430,
+07DA001,1,2007/05/15,2200,
+07DA001,1,2007/05/16,2000,
+07DA001,1,2007/05/17,1840,
+07DA001,1,2007/05/18,1680,
+07DA001,1,2007/05/19,1560,
+07DA001,1,2007/05/20,1470,
+07DA001,1,2007/05/21,1390,
+07DA001,1,2007/05/22,1340,
+07DA001,1,2007/05/23,1340,
+07DA001,1,2007/05/24,1350,
+07DA001,1,2007/05/25,1340,
+07DA001,1,2007/05/26,1310,
+07DA001,1,2007/05/27,1250,
+07DA001,1,2007/05/28,1190,
+07DA001,1,2007/05/29,1140,
+07DA001,1,2007/05/30,1100,
+07DA001,1,2007/05/31,1050,
+07DA001,1,2007/06/01,1010,
+07DA001,1,2007/06/02,991,
+07DA001,1,2007/06/03,996,
+07DA001,1,2007/06/04,969,A
+07DA001,1,2007/06/05,962,A
+07DA001,1,2007/06/06,1040,
+07DA001,1,2007/06/07,1170,
+07DA001,1,2007/06/08,1270,
+07DA001,1,2007/06/09,1410,
+07DA001,1,2007/06/10,1600,
+07DA001,1,2007/06/11,1910,
+07DA001,1,2007/06/12,1850,
+07DA001,1,2007/06/13,1640,
+07DA001,1,2007/06/14,1480,
+07DA001,1,2007/06/15,1400,
+07DA001,1,2007/06/16,1350,
+07DA001,1,2007/06/17,1280,
+07DA001,1,2007/06/18,1180,
+07DA001,1,2007/06/19,1100,
+07DA001,1,2007/06/20,1020,
+07DA001,1,2007/06/21,1020,
+07DA001,1,2007/06/22,1070,
+07DA001,1,2007/06/23,1120,
+07DA001,1,2007/06/24,1140,
+07DA001,1,2007/06/25,1110,
+07DA001,1,2007/06/26,1100,
+07DA001,1,2007/06/27,1160,
+07DA001,1,2007/06/28,1200,
+07DA001,1,2007/06/29,1180,
+07DA001,1,2007/06/30,1110,
+07DA001,1,2007/07/01,1080,
+07DA001,1,2007/07/02,1030,
+07DA001,1,2007/07/03,999,
+07DA001,1,2007/07/04,1100,
+07DA001,1,2007/07/05,1210,
+07DA001,1,2007/07/06,1200,
+07DA001,1,2007/07/07,1090,
+07DA001,1,2007/07/08,1010,
+07DA001,1,2007/07/09,997,
+07DA001,1,2007/07/10,1000,
+07DA001,1,2007/07/11,1070,
+07DA001,1,2007/07/12,1130,
+07DA001,1,2007/07/13,1080,
+07DA001,1,2007/07/14,995,
+07DA001,1,2007/07/15,927,
+07DA001,1,2007/07/16,877,
+07DA001,1,2007/07/17,880,
+07DA001,1,2007/07/18,892,
+07DA001,1,2007/07/19,910,
+07DA001,1,2007/07/20,974,
+07DA001,1,2007/07/21,1010,
+07DA001,1,2007/07/22,1010,A
+07DA001,1,2007/07/23,975,E
+07DA001,1,2007/07/24,950,E
+07DA001,1,2007/07/25,1000,E
+07DA001,1,2007/07/26,960,E
+07DA001,1,2007/07/27,900,E
+07DA001,1,2007/07/28,860,E
+07DA001,1,2007/07/29,900,E
+07DA001,1,2007/07/30,935,E
+07DA001,1,2007/07/31,900,E
+07DA001,1,2007/08/01,800,E
+07DA001,1,2007/08/02,750,E
+07DA001,1,2007/08/03,720,E
+07DA001,1,2007/08/04,710,E
+07DA001,1,2007/08/05,700,E
+07DA001,1,2007/08/06,680,E
+07DA001,1,2007/08/07,675,E
+07DA001,1,2007/08/08,750,E
+07DA001,1,2007/08/09,850,E
+07DA001,1,2007/08/10,845,E
+07DA001,1,2007/08/11,780,E
+07DA001,1,2007/08/12,700,E
+07DA001,1,2007/08/13,719,A
+07DA001,1,2007/08/14,728,
+07DA001,1,2007/08/15,748,
+07DA001,1,2007/08/16,745,
+07DA001,1,2007/08/17,752,
+07DA001,1,2007/08/18,736,
+07DA001,1,2007/08/19,706,
+07DA001,1,2007/08/20,688,
+07DA001,1,2007/08/21,676,
+07DA001,1,2007/08/22,674,
+07DA001,1,2007/08/23,676,
+07DA001,1,2007/08/24,693,
+07DA001,1,2007/08/25,711,
+07DA001,1,2007/08/26,723,
+07DA001,1,2007/08/27,715,
+07DA001,1,2007/08/28,708,
+07DA001,1,2007/08/29,685,
+07DA001,1,2007/08/30,669,
+07DA001,1,2007/08/31,664,
+07DA001,1,2007/09/01,661,
+07DA001,1,2007/09/02,666,
+07DA001,1,2007/09/03,652,
+07DA001,1,2007/09/04,639,
+07DA001,1,2007/09/05,623,
+07DA001,1,2007/09/06,612,
+07DA001,1,2007/09/07,631,
+07DA001,1,2007/09/08,666,
+07DA001,1,2007/09/09,655,
+07DA001,1,2007/09/10,640,
+07DA001,1,2007/09/11,631,
+07DA001,1,2007/09/12,618,
+07DA001,1,2007/09/13,598,A
+07DA001,1,2007/09/14,585,A
+07DA001,1,2007/09/15,562,
+07DA001,1,2007/09/16,544,
+07DA001,1,2007/09/17,524,
+07DA001,1,2007/09/18,511,
+07DA001,1,2007/09/19,517,
+07DA001,1,2007/09/20,535,
+07DA001,1,2007/09/21,525,
+07DA001,1,2007/09/22,508,
+07DA001,1,2007/09/23,495,
+07DA001,1,2007/09/24,484,
+07DA001,1,2007/09/25,477,A
+07DA001,1,2007/09/26,466,
+07DA001,1,2007/09/27,456,
+07DA001,1,2007/09/28,444,
+07DA001,1,2007/09/29,434,
+07DA001,1,2007/09/30,426,
+07DA001,1,2007/10/01,421,A
+07DA001,1,2007/10/02,410,
+07DA001,1,2007/10/03,403,
+07DA001,1,2007/10/04,394,
+07DA001,1,2007/10/05,389,
+07DA001,1,2007/10/06,391,
+07DA001,1,2007/10/07,396,
+07DA001,1,2007/10/08,388,
+07DA001,1,2007/10/09,377,
+07DA001,1,2007/10/10,367,
+07DA001,1,2007/10/11,365,
+07DA001,1,2007/10/12,360,
+07DA001,1,2007/10/13,357,A
+07DA001,1,2007/10/14,351,A
+07DA001,1,2007/10/15,343,
+07DA001,1,2007/10/16,341,
+07DA001,1,2007/10/17,342,
+07DA001,1,2007/10/18,340,
+07DA001,1,2007/10/19,336,
+07DA001,1,2007/10/20,337,
+07DA001,1,2007/10/21,334,
+07DA001,1,2007/10/22,330,
+07DA001,1,2007/10/23,325,
+07DA001,1,2007/10/24,323,
+07DA001,1,2007/10/25,324,
+07DA001,1,2007/10/26,318,
+07DA001,1,2007/10/27,313,
+07DA001,1,2007/10/28,312,
+07DA001,1,2007/10/29,316,
+07DA001,1,2007/10/30,322,
+07DA001,1,2007/10/31,316,
+07DA001,1,2007/11/01,341,
+07DA001,1,2007/11/02,405,
+07DA001,1,2007/11/03,391,
+07DA001,1,2007/11/04,370,
+07DA001,1,2007/11/05,340,B
+07DA001,1,2007/11/06,320,B
+07DA001,1,2007/11/07,300,B
+07DA001,1,2007/11/08,280,B
+07DA001,1,2007/11/09,262,B
+07DA001,1,2007/11/10,260,B
+07DA001,1,2007/11/11,262,B
+07DA001,1,2007/11/12,264,B
+07DA001,1,2007/11/13,262,B
+07DA001,1,2007/11/14,257,B
+07DA001,1,2007/11/15,255,B
+07DA001,1,2007/11/16,260,B
+07DA001,1,2007/11/17,265,B
+07DA001,1,2007/11/18,275,B
+07DA001,1,2007/11/19,280,B
+07DA001,1,2007/11/20,277,B
+07DA001,1,2007/11/21,270,B
+07DA001,1,2007/11/22,260,B
+07DA001,1,2007/11/23,250,B
+07DA001,1,2007/11/24,240,B
+07DA001,1,2007/11/25,230,B
+07DA001,1,2007/11/26,220,B
+07DA001,1,2007/11/27,215,B
+07DA001,1,2007/11/28,210,B
+07DA001,1,2007/11/29,207,B
+07DA001,1,2007/11/30,209,B
+07DA001,1,2007/12/01,210,B
+07DA001,1,2007/12/02,215,B
+07DA001,1,2007/12/03,220,B
+07DA001,1,2007/12/04,220,B
+07DA001,1,2007/12/05,218,B
+07DA001,1,2007/12/06,217,B
+07DA001,1,2007/12/07,215,B
+07DA001,1,2007/12/08,211,B
+07DA001,1,2007/12/09,208,B
+07DA001,1,2007/12/10,205,B
+07DA001,1,2007/12/11,200,B
+07DA001,1,2007/12/12,198,B
+07DA001,1,2007/12/13,195,B
+07DA001,1,2007/12/14,190,B
+07DA001,1,2007/12/15,185,B
+07DA001,1,2007/12/16,184,B
+07DA001,1,2007/12/17,183,B
+07DA001,1,2007/12/18,182,B
+07DA001,1,2007/12/19,181,B
+07DA001,1,2007/12/20,180,B
+07DA001,1,2007/12/21,178,B
+07DA001,1,2007/12/22,175,B
+07DA001,1,2007/12/23,172,B
+07DA001,1,2007/12/24,170,B
+07DA001,1,2007/12/25,167,B
+07DA001,1,2007/12/26,165,B
+07DA001,1,2007/12/27,162,B
+07DA001,1,2007/12/28,161,B
+07DA001,1,2007/12/29,160,B
+07DA001,1,2007/12/30,158,B
+07DA001,1,2007/12/31,158,B
+07DA001,1,2008/01/01,160,B
+07DA001,1,2008/01/02,164,B
+07DA001,1,2008/01/03,172,B
+07DA001,1,2008/01/04,170,B
+07DA001,1,2008/01/05,168,B
+07DA001,1,2008/01/06,167,B
+07DA001,1,2008/01/07,165,B
+07DA001,1,2008/01/08,166,B
+07DA001,1,2008/01/09,168,B
+07DA001,1,2008/01/10,170,B
+07DA001,1,2008/01/11,173,B
+07DA001,1,2008/01/12,178,B
+07DA001,1,2008/01/13,188,B
+07DA001,1,2008/01/14,187,B
+07DA001,1,2008/01/15,186,B
+07DA001,1,2008/01/16,185,B
+07DA001,1,2008/01/17,183,B
+07DA001,1,2008/01/18,180,B
+07DA001,1,2008/01/19,181,B
+07DA001,1,2008/01/20,182,B
+07DA001,1,2008/01/21,185,B
+07DA001,1,2008/01/22,191,B
+07DA001,1,2008/01/23,191,B
+07DA001,1,2008/01/24,191,B
+07DA001,1,2008/01/25,191,B
+07DA001,1,2008/01/26,192,B
+07DA001,1,2008/01/27,193,B
+07DA001,1,2008/01/28,191,B
+07DA001,1,2008/01/29,180,B
+07DA001,1,2008/01/30,170,B
+07DA001,1,2008/01/31,150,B
+07DA001,1,2008/02/01,145,B
+07DA001,1,2008/02/02,140,B
+07DA001,1,2008/02/03,139,B
+07DA001,1,2008/02/04,140,B
+07DA001,1,2008/02/05,141,B
+07DA001,1,2008/02/06,141,B
+07DA001,1,2008/02/07,140,B
+07DA001,1,2008/02/08,138,B
+07DA001,1,2008/02/09,136,B
+07DA001,1,2008/02/10,135,B
+07DA001,1,2008/02/11,135,B
+07DA001,1,2008/02/12,136,B
+07DA001,1,2008/02/13,137,B
+07DA001,1,2008/02/14,138,B
+07DA001,1,2008/02/15,139,B
+07DA001,1,2008/02/16,140,B
+07DA001,1,2008/02/17,141,B
+07DA001,1,2008/02/18,142,B
+07DA001,1,2008/02/19,144,B
+07DA001,1,2008/02/20,146,B
+07DA001,1,2008/02/21,148,B
+07DA001,1,2008/02/22,150,B
+07DA001,1,2008/02/23,152,B
+07DA001,1,2008/02/24,152,B
+07DA001,1,2008/02/25,151,B
+07DA001,1,2008/02/26,149,B
+07DA001,1,2008/02/27,148,B
+07DA001,1,2008/02/28,147,B
+07DA001,1,2008/02/29,146,B
+07DA001,1,2008/03/01,143,B
+07DA001,1,2008/03/02,141,B
+07DA001,1,2008/03/03,139,B
+07DA001,1,2008/03/04,138,B
+07DA001,1,2008/03/05,137,B
+07DA001,1,2008/03/06,136,B
+07DA001,1,2008/03/07,135,B
+07DA001,1,2008/03/08,134,B
+07DA001,1,2008/03/09,134,B
+07DA001,1,2008/03/10,136,B
+07DA001,1,2008/03/11,141,B
+07DA001,1,2008/03/12,145,B
+07DA001,1,2008/03/13,147,B
+07DA001,1,2008/03/14,149,B
+07DA001,1,2008/03/15,151,B
+07DA001,1,2008/03/16,152,B
+07DA001,1,2008/03/17,153,B
+07DA001,1,2008/03/18,153,B
+07DA001,1,2008/03/19,154,B
+07DA001,1,2008/03/20,152,B
+07DA001,1,2008/03/21,161,B
+07DA001,1,2008/03/22,166,B
+07DA001,1,2008/03/23,167,B
+07DA001,1,2008/03/24,169,B
+07DA001,1,2008/03/25,170,B
+07DA001,1,2008/03/26,168,B
+07DA001,1,2008/03/27,168,B
+07DA001,1,2008/03/28,168,B
+07DA001,1,2008/03/29,167,B
+07DA001,1,2008/03/30,171,B
+07DA001,1,2008/03/31,177,B
+07DA001,1,2008/04/01,180,B
+07DA001,1,2008/04/02,180,B
+07DA001,1,2008/04/03,179,B
+07DA001,1,2008/04/04,182,B
+07DA001,1,2008/04/05,184,B
+07DA001,1,2008/04/06,183,B
+07DA001,1,2008/04/07,180,B
+07DA001,1,2008/04/08,178,B
+07DA001,1,2008/04/09,179,B
+07DA001,1,2008/04/10,185,B
+07DA001,1,2008/04/11,187,B
+07DA001,1,2008/04/12,189,B
+07DA001,1,2008/04/13,194,B
+07DA001,1,2008/04/14,203,B
+07DA001,1,2008/04/15,207,B
+07DA001,1,2008/04/16,231,B
+07DA001,1,2008/04/17,265,B
+07DA001,1,2008/04/18,295,B
+07DA001,1,2008/04/19,305,B
+07DA001,1,2008/04/20,300,B
+07DA001,1,2008/04/21,290,B
+07DA001,1,2008/04/22,285,B
+07DA001,1,2008/04/23,282,B
+07DA001,1,2008/04/24,279,B
+07DA001,1,2008/04/25,278,B
+07DA001,1,2008/04/26,290,B
+07DA001,1,2008/04/27,320,B
+07DA001,1,2008/04/28,355,B
+07DA001,1,2008/04/29,400,B
+07DA001,1,2008/04/30,470,B
+07DA001,1,2008/05/01,520,E
+07DA001,1,2008/05/02,600,E
+07DA001,1,2008/05/03,700,E
+07DA001,1,2008/05/04,850,E
+07DA001,1,2008/05/05,1000,E
+07DA001,1,2008/05/06,1300,E
+07DA001,1,2008/05/07,1400,E
+07DA001,1,2008/05/08,1420,A
+07DA001,1,2008/05/09,1430,
+07DA001,1,2008/05/10,1420,
+07DA001,1,2008/05/11,1390,
+07DA001,1,2008/05/12,1370,
+07DA001,1,2008/05/13,1380,
+07DA001,1,2008/05/14,1320,
+07DA001,1,2008/05/15,1250,
+07DA001,1,2008/05/16,1220,
+07DA001,1,2008/05/17,1200,
+07DA001,1,2008/05/18,1170,
+07DA001,1,2008/05/19,1130,
+07DA001,1,2008/05/20,1110,
+07DA001,1,2008/05/21,1120,
+07DA001,1,2008/05/22,1180,
+07DA001,1,2008/05/23,1290,
+07DA001,1,2008/05/24,1500,
+07DA001,1,2008/05/25,1590,
+07DA001,1,2008/05/26,1680,
+07DA001,1,2008/05/27,1630,
+07DA001,1,2008/05/28,1510,
+07DA001,1,2008/05/29,1440,
+07DA001,1,2008/05/30,1530,
+07DA001,1,2008/05/31,1510,
+07DA001,1,2008/06/01,1410,
+07DA001,1,2008/06/02,1370,
+07DA001,1,2008/06/03,1340,
+07DA001,1,2008/06/04,1330,
+07DA001,1,2008/06/05,1270,
+07DA001,1,2008/06/06,1210,
+07DA001,1,2008/06/07,1180,
+07DA001,1,2008/06/08,1180,
+07DA001,1,2008/06/09,1200,
+07DA001,1,2008/06/10,1260,
+07DA001,1,2008/06/11,1430,
+07DA001,1,2008/06/12,1730,
+07DA001,1,2008/06/13,1580,
+07DA001,1,2008/06/14,1480,
+07DA001,1,2008/06/15,1470,
+07DA001,1,2008/06/16,1450,
+07DA001,1,2008/06/17,1410,
+07DA001,1,2008/06/18,1350,A
+07DA001,1,2008/06/19,1320,A
+07DA001,1,2008/06/20,1250,
+07DA001,1,2008/06/21,1160,
+07DA001,1,2008/06/22,1110,
+07DA001,1,2008/06/23,1110,
+07DA001,1,2008/06/24,1090,A
+07DA001,1,2008/06/25,1030,
+07DA001,1,2008/06/26,963,
+07DA001,1,2008/06/27,961,
+07DA001,1,2008/06/28,1010,
+07DA001,1,2008/06/29,1030,
+07DA001,1,2008/06/30,970,
+07DA001,1,2008/07/01,927,
+07DA001,1,2008/07/02,879,
+07DA001,1,2008/07/03,827,
+07DA001,1,2008/07/04,806,
+07DA001,1,2008/07/05,887,
+07DA001,1,2008/07/06,1020,
+07DA001,1,2008/07/07,1080,
+07DA001,1,2008/07/08,1090,
+07DA001,1,2008/07/09,1060,
+07DA001,1,2008/07/10,1060,A
+07DA001,1,2008/07/11,1020,
+07DA001,1,2008/07/12,947,
+07DA001,1,2008/07/13,892,
+07DA001,1,2008/07/14,828,A
+07DA001,1,2008/07/15,778,A
+07DA001,1,2008/07/16,778,A
+07DA001,1,2008/07/17,775,
+07DA001,1,2008/07/18,731,
+07DA001,1,2008/07/19,689,
+07DA001,1,2008/07/20,686,
+07DA001,1,2008/07/21,710,
+07DA001,1,2008/07/22,692,
+07DA001,1,2008/07/23,666,
+07DA001,1,2008/07/24,647,
+07DA001,1,2008/07/25,644,
+07DA001,1,2008/07/26,625,
+07DA001,1,2008/07/27,614,
+07DA001,1,2008/07/28,636,
+07DA001,1,2008/07/29,654,
+07DA001,1,2008/07/30,635,
+07DA001,1,2008/07/31,638,A
+07DA001,1,2008/08/01,626,
+07DA001,1,2008/08/02,668,
+07DA001,1,2008/08/03,714,
+07DA001,1,2008/08/04,741,
+07DA001,1,2008/08/05,743,A
+07DA001,1,2008/08/06,745,A
+07DA001,1,2008/08/07,723,
+07DA001,1,2008/08/08,695,
+07DA001,1,2008/08/09,675,A
+07DA001,1,2008/08/10,641,A
+07DA001,1,2008/08/11,618,
+07DA001,1,2008/08/12,632,A
+07DA001,1,2008/08/13,746,
+07DA001,1,2008/08/14,914,
+07DA001,1,2008/08/15,1030,A
+07DA001,1,2008/08/16,1060,
+07DA001,1,2008/08/17,1020,A
+07DA001,1,2008/08/18,963,
+07DA001,1,2008/08/19,913,
+07DA001,1,2008/08/20,868,
+07DA001,1,2008/08/21,835,
+07DA001,1,2008/08/22,810,
+07DA001,1,2008/08/23,812,
+07DA001,1,2008/08/24,803,A
+07DA001,1,2008/08/25,799,
+07DA001,1,2008/08/26,831,A
+07DA001,1,2008/08/27,834,A
+07DA001,1,2008/08/28,783,
+07DA001,1,2008/08/29,715,
+07DA001,1,2008/08/30,668,A
+07DA001,1,2008/08/31,642,A
+07DA001,1,2008/09/01,647,
+07DA001,1,2008/09/02,641,A
+07DA001,1,2008/09/03,603,A
+07DA001,1,2008/09/04,570,A
+07DA001,1,2008/09/05,550,A
+07DA001,1,2008/09/06,579,A
+07DA001,1,2008/09/07,591,A
+07DA001,1,2008/09/08,557,A
+07DA001,1,2008/09/09,532,A
+07DA001,1,2008/09/10,509,A
+07DA001,1,2008/09/11,493,A
+07DA001,1,2008/09/12,481,
+07DA001,1,2008/09/13,466,A
+07DA001,1,2008/09/14,458,A
+07DA001,1,2008/09/15,448,A
+07DA001,1,2008/09/16,438,A
+07DA001,1,2008/09/17,434,
+07DA001,1,2008/09/18,435,A
+07DA001,1,2008/09/19,423,A
+07DA001,1,2008/09/20,433,A
+07DA001,1,2008/09/21,440,A
+07DA001,1,2008/09/22,428,A
+07DA001,1,2008/09/23,418,A
+07DA001,1,2008/09/24,409,A
+07DA001,1,2008/09/25,405,A
+07DA001,1,2008/09/26,406,A
+07DA001,1,2008/09/27,416,A
+07DA001,1,2008/09/28,418,
+07DA001,1,2008/09/29,421,
+07DA001,1,2008/09/30,425,A
+07DA001,1,2008/10/01,415,A
+07DA001,1,2008/10/02,405,A
+07DA001,1,2008/10/03,395,A
+07DA001,1,2008/10/04,384,A
+07DA001,1,2008/10/05,380,A
+07DA001,1,2008/10/06,381,A
+07DA001,1,2008/10/07,373,
+07DA001,1,2008/10/08,376,
+07DA001,1,2008/10/09,379,
+07DA001,1,2008/10/10,390,A
+07DA001,1,2008/10/11,394,A
+07DA001,1,2008/10/12,404,A
+07DA001,1,2008/10/13,408,A
+07DA001,1,2008/10/14,396,A
+07DA001,1,2008/10/15,385,A
+07DA001,1,2008/10/16,372,
+07DA001,1,2008/10/17,365,
+07DA001,1,2008/10/18,358,
+07DA001,1,2008/10/19,353,
+07DA001,1,2008/10/20,345,
+07DA001,1,2008/10/21,339,
+07DA001,1,2008/10/22,336,
+07DA001,1,2008/10/23,335,
+07DA001,1,2008/10/24,330,
+07DA001,1,2008/10/25,324,A
+07DA001,1,2008/10/26,320,
+07DA001,1,2008/10/27,310,B
+07DA001,1,2008/10/28,310,B
+07DA001,1,2008/10/29,306,B
+07DA001,1,2008/10/30,303,B
+07DA001,1,2008/10/31,300,B
+07DA001,1,2008/11/01,295,
+07DA001,1,2008/11/02,298,
+07DA001,1,2008/11/03,294,
+07DA001,1,2008/11/04,296,
+07DA001,1,2008/11/05,295,
+07DA001,1,2008/11/06,299,
+07DA001,1,2008/11/07,298,
+07DA001,1,2008/11/08,299,
+07DA001,1,2008/11/09,301,
+07DA001,1,2008/11/10,302,
+07DA001,1,2008/11/11,293,
+07DA001,1,2008/11/12,289,
+07DA001,1,2008/11/13,293,
+07DA001,1,2008/11/14,280,B
+07DA001,1,2008/11/15,275,B
+07DA001,1,2008/11/16,271,B
+07DA001,1,2008/11/17,254,B
+07DA001,1,2008/11/18,250,B
+07DA001,1,2008/11/19,240,B
+07DA001,1,2008/11/20,210,B
+07DA001,1,2008/11/21,160,B
+07DA001,1,2008/11/22,150,B
+07DA001,1,2008/11/23,142,B
+07DA001,1,2008/11/24,159,B
+07DA001,1,2008/11/25,164,B
+07DA001,1,2008/11/26,175,B
+07DA001,1,2008/11/27,173,B
+07DA001,1,2008/11/28,165,B
+07DA001,1,2008/11/29,172,B
+07DA001,1,2008/11/30,170,B
+07DA001,1,2008/12/01,175,B
+07DA001,1,2008/12/02,174,B
+07DA001,1,2008/12/03,170,B
+07DA001,1,2008/12/04,166,B
+07DA001,1,2008/12/05,162,B
+07DA001,1,2008/12/06,160,B
+07DA001,1,2008/12/07,158,B
+07DA001,1,2008/12/08,156,B
+07DA001,1,2008/12/09,154,B
+07DA001,1,2008/12/10,152,B
+07DA001,1,2008/12/11,150,B
+07DA001,1,2008/12/12,149,B
+07DA001,1,2008/12/13,148,B
+07DA001,1,2008/12/14,147,B
+07DA001,1,2008/12/15,145,B
+07DA001,1,2008/12/16,144,B
+07DA001,1,2008/12/17,143,B
+07DA001,1,2008/12/18,141,B
+07DA001,1,2008/12/19,140,B
+07DA001,1,2008/12/20,138,B
+07DA001,1,2008/12/21,138,B
+07DA001,1,2008/12/22,139,B
+07DA001,1,2008/12/23,139,B
+07DA001,1,2008/12/24,140,B
+07DA001,1,2008/12/25,142,B
+07DA001,1,2008/12/26,144,B
+07DA001,1,2008/12/27,146,B
+07DA001,1,2008/12/28,148,B
+07DA001,1,2008/12/29,146,B
+07DA001,1,2008/12/30,144,B
+07DA001,1,2008/12/31,142,B
+07DA001,1,2009/01/01,141,B
+07DA001,1,2009/01/02,140,B
+07DA001,1,2009/01/03,139,B
+07DA001,1,2009/01/04,139,B
+07DA001,1,2009/01/05,140,B
+07DA001,1,2009/01/06,140,B
+07DA001,1,2009/01/07,139,B
+07DA001,1,2009/01/08,138,B
+07DA001,1,2009/01/09,138,B
+07DA001,1,2009/01/10,139,B
+07DA001,1,2009/01/11,138,B
+07DA001,1,2009/01/12,137,B
+07DA001,1,2009/01/13,136,B
+07DA001,1,2009/01/14,137,B
+07DA001,1,2009/01/15,138,B
+07DA001,1,2009/01/16,139,B
+07DA001,1,2009/01/17,142,B
+07DA001,1,2009/01/18,145,B
+07DA001,1,2009/01/19,147,B
+07DA001,1,2009/01/20,147,B
+07DA001,1,2009/01/21,148,B
+07DA001,1,2009/01/22,150,B
+07DA001,1,2009/01/23,148,B
+07DA001,1,2009/01/24,147,B
+07DA001,1,2009/01/25,147,B
+07DA001,1,2009/01/26,147,B
+07DA001,1,2009/01/27,146,B
+07DA001,1,2009/01/28,143,B
+07DA001,1,2009/01/29,142,B
+07DA001,1,2009/01/30,143,B
+07DA001,1,2009/01/31,144,B
+07DA001,1,2009/02/01,147,B
+07DA001,1,2009/02/02,148,B
+07DA001,1,2009/02/03,148,B
+07DA001,1,2009/02/04,149,B
+07DA001,1,2009/02/05,149,B
+07DA001,1,2009/02/06,147,B
+07DA001,1,2009/02/07,145,B
+07DA001,1,2009/02/08,144,B
+07DA001,1,2009/02/09,144,B
+07DA001,1,2009/02/10,146,B
+07DA001,1,2009/02/11,148,B
+07DA001,1,2009/02/12,149,B
+07DA001,1,2009/02/13,149,B
+07DA001,1,2009/02/14,149,B
+07DA001,1,2009/02/15,148,B
+07DA001,1,2009/02/16,149,B
+07DA001,1,2009/02/17,149,B
+07DA001,1,2009/02/18,149,B
+07DA001,1,2009/02/19,149,B
+07DA001,1,2009/02/20,148,B
+07DA001,1,2009/02/21,146,B
+07DA001,1,2009/02/22,145,B
+07DA001,1,2009/02/23,144,B
+07DA001,1,2009/02/24,143,B
+07DA001,1,2009/02/25,140,B
+07DA001,1,2009/02/26,138,B
+07DA001,1,2009/02/27,136,B
+07DA001,1,2009/02/28,133,B
+07DA001,1,2009/03/01,127,B
+07DA001,1,2009/03/02,128,B
+07DA001,1,2009/03/03,129,B
+07DA001,1,2009/03/04,130,B
+07DA001,1,2009/03/05,129,B
+07DA001,1,2009/03/06,127,B
+07DA001,1,2009/03/07,126,B
+07DA001,1,2009/03/08,124,B
+07DA001,1,2009/03/09,123,B
+07DA001,1,2009/03/10,122,B
+07DA001,1,2009/03/11,122,B
+07DA001,1,2009/03/12,122,B
+07DA001,1,2009/03/13,124,B
+07DA001,1,2009/03/14,128,B
+07DA001,1,2009/03/15,129,B
+07DA001,1,2009/03/16,130,B
+07DA001,1,2009/03/17,130,B
+07DA001,1,2009/03/18,129,B
+07DA001,1,2009/03/19,127,B
+07DA001,1,2009/03/20,126,B
+07DA001,1,2009/03/21,125,B
+07DA001,1,2009/03/22,125,B
+07DA001,1,2009/03/23,125,B
+07DA001,1,2009/03/24,125,B
+07DA001,1,2009/03/25,125,B
+07DA001,1,2009/03/26,125,B
+07DA001,1,2009/03/27,124,B
+07DA001,1,2009/03/28,124,B
+07DA001,1,2009/03/29,124,B
+07DA001,1,2009/03/30,123,B
+07DA001,1,2009/03/31,122,B
+07DA001,1,2009/04/01,123,B
+07DA001,1,2009/04/02,122,B
+07DA001,1,2009/04/03,122,B
+07DA001,1,2009/04/04,128,B
+07DA001,1,2009/04/05,134,B
+07DA001,1,2009/04/06,140,B
+07DA001,1,2009/04/07,149,B
+07DA001,1,2009/04/08,159,B
+07DA001,1,2009/04/09,170,B
+07DA001,1,2009/04/10,180,B
+07DA001,1,2009/04/11,192,B
+07DA001,1,2009/04/12,203,B
+07DA001,1,2009/04/13,219,B
+07DA001,1,2009/04/14,231,B
+07DA001,1,2009/04/15,250,B
+07DA001,1,2009/04/16,273,B
+07DA001,1,2009/04/17,309,B
+07DA001,1,2009/04/18,345,B
+07DA001,1,2009/04/19,390,B
+07DA001,1,2009/04/20,560,B
+07DA001,1,2009/04/21,875,B
+07DA001,1,2009/04/22,725,B
+07DA001,1,2009/04/23,675,B
+07DA001,1,2009/04/24,725,B
+07DA001,1,2009/04/25,850,B
+07DA001,1,2009/04/26,960,B
+07DA001,1,2009/04/27,825,B
+07DA001,1,2009/04/28,740,B
+07DA001,1,2009/04/29,675,B
+07DA001,1,2009/04/30,610,E
+07DA001,1,2009/05/01,550,E
+07DA001,1,2009/05/02,530,E
+07DA001,1,2009/05/03,515,E
+07DA001,1,2009/05/04,510,E
+07DA001,1,2009/05/05,530,E
+07DA001,1,2009/05/06,640,A
+07DA001,1,2009/05/07,710,A
+07DA001,1,2009/05/08,781,A
+07DA001,1,2009/05/09,857,
+07DA001,1,2009/05/10,908,
+07DA001,1,2009/05/11,917,
+07DA001,1,2009/05/12,917,
+07DA001,1,2009/05/13,889,
+07DA001,1,2009/05/14,868,
+07DA001,1,2009/05/15,858,
+07DA001,1,2009/05/16,844,
+07DA001,1,2009/05/17,831,
+07DA001,1,2009/05/18,815,
+07DA001,1,2009/05/19,788,
+07DA001,1,2009/05/20,776,
+07DA001,1,2009/05/21,777,
+07DA001,1,2009/05/22,786,
+07DA001,1,2009/05/23,800,
+07DA001,1,2009/05/24,825,
+07DA001,1,2009/05/25,856,
+07DA001,1,2009/05/26,890,
+07DA001,1,2009/05/27,914,
+07DA001,1,2009/05/28,956,
+07DA001,1,2009/05/29,997,
+07DA001,1,2009/05/30,1010,
+07DA001,1,2009/05/31,1030,
+07DA001,1,2009/06/01,1050,
+07DA001,1,2009/06/02,1050,
+07DA001,1,2009/06/03,1020,
+07DA001,1,2009/06/04,962,
+07DA001,1,2009/06/05,962,
+07DA001,1,2009/06/06,1070,
+07DA001,1,2009/06/07,1020,
+07DA001,1,2009/06/08,958,
+07DA001,1,2009/06/09,943,
+07DA001,1,2009/06/10,1000,
+07DA001,1,2009/06/11,1080,
+07DA001,1,2009/06/12,1050,
+07DA001,1,2009/06/13,968,
+07DA001,1,2009/06/14,887,
+07DA001,1,2009/06/15,824,A
+07DA001,1,2009/06/16,792,
+07DA001,1,2009/06/17,795,
+07DA001,1,2009/06/18,833,
+07DA001,1,2009/06/19,891,A
+07DA001,1,2009/06/20,948,
+07DA001,1,2009/06/21,988,
+07DA001,1,2009/06/22,1060,
+07DA001,1,2009/06/23,1120,
+07DA001,1,2009/06/24,1170,
+07DA001,1,2009/06/25,1100,
+07DA001,1,2009/06/26,1050,
+07DA001,1,2009/06/27,1000,
+07DA001,1,2009/06/28,982,
+07DA001,1,2009/06/29,985,
+07DA001,1,2009/06/30,947,
+07DA001,1,2009/07/01,912,
+07DA001,1,2009/07/02,933,
+07DA001,1,2009/07/03,913,
+07DA001,1,2009/07/04,869,
+07DA001,1,2009/07/05,846,
+07DA001,1,2009/07/06,814,
+07DA001,1,2009/07/07,769,
+07DA001,1,2009/07/08,728,
+07DA001,1,2009/07/09,704,
+07DA001,1,2009/07/10,684,
+07DA001,1,2009/07/11,677,
+07DA001,1,2009/07/12,1040,
+07DA001,1,2009/07/13,1730,
+07DA001,1,2009/07/14,1780,
+07DA001,1,2009/07/15,1650,
+07DA001,1,2009/07/16,1530,
+07DA001,1,2009/07/17,1450,
+07DA001,1,2009/07/18,1380,
+07DA001,1,2009/07/19,1380,
+07DA001,1,2009/07/20,1390,
+07DA001,1,2009/07/21,1310,
+07DA001,1,2009/07/22,1240,
+07DA001,1,2009/07/23,1190,
+07DA001,1,2009/07/24,1150,
+07DA001,1,2009/07/25,1090,
+07DA001,1,2009/07/26,1020,
+07DA001,1,2009/07/27,928,
+07DA001,1,2009/07/28,877,
+07DA001,1,2009/07/29,849,
+07DA001,1,2009/07/30,835,
+07DA001,1,2009/07/31,814,
+07DA001,1,2009/08/01,848,
+07DA001,1,2009/08/02,865,
+07DA001,1,2009/08/03,834,
+07DA001,1,2009/08/04,807,
+07DA001,1,2009/08/05,773,
+07DA001,1,2009/08/06,746,
+07DA001,1,2009/08/07,716,
+07DA001,1,2009/08/08,708,
+07DA001,1,2009/08/09,726,
+07DA001,1,2009/08/10,773,
+07DA001,1,2009/08/11,758,
+07DA001,1,2009/08/12,697,
+07DA001,1,2009/08/13,654,
+07DA001,1,2009/08/14,631,
+07DA001,1,2009/08/15,611,
+07DA001,1,2009/08/16,597,
+07DA001,1,2009/08/17,580,
+07DA001,1,2009/08/18,585,
+07DA001,1,2009/08/19,581,
+07DA001,1,2009/08/20,555,
+07DA001,1,2009/08/21,525,
+07DA001,1,2009/08/22,507,
+07DA001,1,2009/08/23,492,
+07DA001,1,2009/08/24,515,
+07DA001,1,2009/08/25,525,
+07DA001,1,2009/08/26,540,
+07DA001,1,2009/08/27,551,
+07DA001,1,2009/08/28,566,
+07DA001,1,2009/08/29,592,
+07DA001,1,2009/08/30,573,
+07DA001,1,2009/08/31,540,
+07DA001,1,2009/09/01,507,
+07DA001,1,2009/09/02,483,
+07DA001,1,2009/09/03,468,
+07DA001,1,2009/09/04,455,
+07DA001,1,2009/09/05,454,
+07DA001,1,2009/09/06,477,
+07DA001,1,2009/09/07,490,
+07DA001,1,2009/09/08,501,
+07DA001,1,2009/09/09,520,
+07DA001,1,2009/09/10,537,
+07DA001,1,2009/09/11,531,
+07DA001,1,2009/09/12,517,
+07DA001,1,2009/09/13,488,
+07DA001,1,2009/09/14,475,
+07DA001,1,2009/09/15,459,
+07DA001,1,2009/09/16,430,
+07DA001,1,2009/09/17,411,
+07DA001,1,2009/09/18,401,
+07DA001,1,2009/09/19,394,
+07DA001,1,2009/09/20,383,
+07DA001,1,2009/09/21,374,
+07DA001,1,2009/09/22,379,
+07DA001,1,2009/09/23,383,
+07DA001,1,2009/09/24,396,
+07DA001,1,2009/09/25,420,
+07DA001,1,2009/09/26,427,
+07DA001,1,2009/09/27,415,
+07DA001,1,2009/09/28,409,A
+07DA001,1,2009/09/29,392,
+07DA001,1,2009/09/30,371,
+07DA001,1,2009/10/01,378,A
+07DA001,1,2009/10/02,390,A
+07DA001,1,2009/10/03,378,A
+07DA001,1,2009/10/04,362,
+07DA001,1,2009/10/05,355,
+07DA001,1,2009/10/06,345,
+07DA001,1,2009/10/07,339,A
+07DA001,1,2009/10/08,332,E
+07DA001,1,2009/10/09,325,E
+07DA001,1,2009/10/10,320,E
+07DA001,1,2009/10/11,314,E
+07DA001,1,2009/10/12,300,E
+07DA001,1,2009/10/13,290,A
+07DA001,1,2009/10/14,275,E
+07DA001,1,2009/10/15,278,A
+07DA001,1,2009/10/16,293,A
+07DA001,1,2009/10/17,292,
+07DA001,1,2009/10/18,287,A
+07DA001,1,2009/10/19,275,A
+07DA001,1,2009/10/20,263,A
+07DA001,1,2009/10/21,259,
+07DA001,1,2009/10/22,259,
+07DA001,1,2009/10/23,271,
+07DA001,1,2009/10/24,286,
+07DA001,1,2009/10/25,294,
+07DA001,1,2009/10/26,297,
+07DA001,1,2009/10/27,305,
+07DA001,1,2009/10/28,312,
+07DA001,1,2009/10/29,311,
+07DA001,1,2009/10/30,310,
+07DA001,1,2009/10/31,307,
+07DA001,1,2009/11/01,302,B
+07DA001,1,2009/11/02,286,B
+07DA001,1,2009/11/03,255,B
+07DA001,1,2009/11/04,244,B
+07DA001,1,2009/11/05,239,B
+07DA001,1,2009/11/06,235,B
+07DA001,1,2009/11/07,228,B
+07DA001,1,2009/11/08,220,B
+07DA001,1,2009/11/09,215,B
+07DA001,1,2009/11/10,205,B
+07DA001,1,2009/11/11,198,B
+07DA001,1,2009/11/12,194,B
+07DA001,1,2009/11/13,188,B
+07DA001,1,2009/11/14,181,B
+07DA001,1,2009/11/15,177,B
+07DA001,1,2009/11/16,172,B
+07DA001,1,2009/11/17,168,B
+07DA001,1,2009/11/18,164,B
+07DA001,1,2009/11/19,163,B
+07DA001,1,2009/11/20,162,B
+07DA001,1,2009/11/21,161,B
+07DA001,1,2009/11/22,160,B
+07DA001,1,2009/11/23,159,B
+07DA001,1,2009/11/24,158,B
+07DA001,1,2009/11/25,158,B
+07DA001,1,2009/11/26,157,B
+07DA001,1,2009/11/27,156,B
+07DA001,1,2009/11/28,155,B
+07DA001,1,2009/11/29,154,B
+07DA001,1,2009/11/30,152,B
+07DA001,1,2009/12/01,148,B
+07DA001,1,2009/12/02,144,B
+07DA001,1,2009/12/03,138,B
+07DA001,1,2009/12/04,133,B
+07DA001,1,2009/12/05,127,B
+07DA001,1,2009/12/06,122,B
+07DA001,1,2009/12/07,120,B
+07DA001,1,2009/12/08,118,B
+07DA001,1,2009/12/09,117,B
+07DA001,1,2009/12/10,115,B
+07DA001,1,2009/12/11,113,B
+07DA001,1,2009/12/12,112,B
+07DA001,1,2009/12/13,111,B
+07DA001,1,2009/12/14,112,B
+07DA001,1,2009/12/15,113,B
+07DA001,1,2009/12/16,114,B
+07DA001,1,2009/12/17,115,B
+07DA001,1,2009/12/18,117,B
+07DA001,1,2009/12/19,119,B
+07DA001,1,2009/12/20,120,B
+07DA001,1,2009/12/21,122,B
+07DA001,1,2009/12/22,126,B
+07DA001,1,2009/12/23,131,B
+07DA001,1,2009/12/24,137,B
+07DA001,1,2009/12/25,140,B
+07DA001,1,2009/12/26,141,B
+07DA001,1,2009/12/27,141,B
+07DA001,1,2009/12/28,139,B
+07DA001,1,2009/12/29,136,B
+07DA001,1,2009/12/30,132,B
+07DA001,1,2009/12/31,130,B
+07DA001,1,2010/01/01,130,B
+07DA001,1,2010/01/02,129,B
+07DA001,1,2010/01/03,128,B
+07DA001,1,2010/01/04,128,B
+07DA001,1,2010/01/05,130,B
+07DA001,1,2010/01/06,132,B
+07DA001,1,2010/01/07,136,B
+07DA001,1,2010/01/08,135,B
+07DA001,1,2010/01/09,137,B
+07DA001,1,2010/01/10,140,B
+07DA001,1,2010/01/11,143,B
+07DA001,1,2010/01/12,145,B
+07DA001,1,2010/01/13,145,B
+07DA001,1,2010/01/14,143,B
+07DA001,1,2010/01/15,142,B
+07DA001,1,2010/01/16,145,B
+07DA001,1,2010/01/17,146,B
+07DA001,1,2010/01/18,147,B
+07DA001,1,2010/01/19,145,B
+07DA001,1,2010/01/20,144,B
+07DA001,1,2010/01/21,143,B
+07DA001,1,2010/01/22,141,B
+07DA001,1,2010/01/23,141,B
+07DA001,1,2010/01/24,139,B
+07DA001,1,2010/01/25,137,B
+07DA001,1,2010/01/26,137,B
+07DA001,1,2010/01/27,137,B
+07DA001,1,2010/01/28,136,B
+07DA001,1,2010/01/29,135,B
+07DA001,1,2010/01/30,134,B
+07DA001,1,2010/01/31,133,B
+07DA001,1,2010/02/01,133,B
+07DA001,1,2010/02/02,132,B
+07DA001,1,2010/02/03,132,B
+07DA001,1,2010/02/04,133,B
+07DA001,1,2010/02/05,131,B
+07DA001,1,2010/02/06,131,B
+07DA001,1,2010/02/07,130,B
+07DA001,1,2010/02/08,129,B
+07DA001,1,2010/02/09,130,B
+07DA001,1,2010/02/10,131,B
+07DA001,1,2010/02/11,131,B
+07DA001,1,2010/02/12,132,B
+07DA001,1,2010/02/13,132,B
+07DA001,1,2010/02/14,131,B
+07DA001,1,2010/02/15,131,B
+07DA001,1,2010/02/16,133,B
+07DA001,1,2010/02/17,136,B
+07DA001,1,2010/02/18,138,B
+07DA001,1,2010/02/19,136,B
+07DA001,1,2010/02/20,136,B
+07DA001,1,2010/02/21,135,B
+07DA001,1,2010/02/22,134,B
+07DA001,1,2010/02/23,134,B
+07DA001,1,2010/02/24,135,B
+07DA001,1,2010/02/25,136,B
+07DA001,1,2010/02/26,138,B
+07DA001,1,2010/02/27,138,B
+07DA001,1,2010/02/28,138,B
+07DA001,1,2010/03/01,137,B
+07DA001,1,2010/03/02,137,B
+07DA001,1,2010/03/03,136,B
+07DA001,1,2010/03/04,136,B
+07DA001,1,2010/03/05,138,B
+07DA001,1,2010/03/06,140,B
+07DA001,1,2010/03/07,141,B
+07DA001,1,2010/03/08,142,B
+07DA001,1,2010/03/09,142,B
+07DA001,1,2010/03/10,143,B
+07DA001,1,2010/03/11,143,B
+07DA001,1,2010/03/12,145,B
+07DA001,1,2010/03/13,145,B
+07DA001,1,2010/03/14,143,B
+07DA001,1,2010/03/15,143,B
+07DA001,1,2010/03/16,143,B
+07DA001,1,2010/03/17,141,B
+07DA001,1,2010/03/18,140,B
+07DA001,1,2010/03/19,139,B
+07DA001,1,2010/03/20,138,B
+07DA001,1,2010/03/21,138,B
+07DA001,1,2010/03/22,136,B
+07DA001,1,2010/03/23,135,B
+07DA001,1,2010/03/24,137,B
+07DA001,1,2010/03/25,138,B
+07DA001,1,2010/03/26,140,B
+07DA001,1,2010/03/27,142,B
+07DA001,1,2010/03/28,142,B
+07DA001,1,2010/03/29,143,B
+07DA001,1,2010/03/30,144,B
+07DA001,1,2010/03/31,145,B
+07DA001,1,2010/04/01,146,B
+07DA001,1,2010/04/02,146,B
+07DA001,1,2010/04/03,146,B
+07DA001,1,2010/04/04,150,B
+07DA001,1,2010/04/05,155,B
+07DA001,1,2010/04/06,158,B
+07DA001,1,2010/04/07,161,B
+07DA001,1,2010/04/08,165,B
+07DA001,1,2010/04/09,175,B
+07DA001,1,2010/04/10,182,B
+07DA001,1,2010/04/11,190,B
+07DA001,1,2010/04/12,197,B
+07DA001,1,2010/04/13,209,B
+07DA001,1,2010/04/14,226,B
+07DA001,1,2010/04/15,245,B
+07DA001,1,2010/04/16,275,B
+07DA001,1,2010/04/17,318,B
+07DA001,1,2010/04/18,360,B
+07DA001,1,2010/04/19,410,B
+07DA001,1,2010/04/20,480,B
+07DA001,1,2010/04/21,525,B
+07DA001,1,2010/04/22,541,
+07DA001,1,2010/04/23,532,
+07DA001,1,2010/04/24,528,
+07DA001,1,2010/04/25,539,
+07DA001,1,2010/04/26,556,
+07DA001,1,2010/04/27,577,
+07DA001,1,2010/04/28,591,
+07DA001,1,2010/04/29,592,
+07DA001,1,2010/04/30,594,
+07DA001,1,2010/05/01,606,
+07DA001,1,2010/05/02,595,
+07DA001,1,2010/05/03,588,
+07DA001,1,2010/05/04,579,A
+07DA001,1,2010/05/05,558,
+07DA001,1,2010/05/06,552,
+07DA001,1,2010/05/07,551,
+07DA001,1,2010/05/08,551,
+07DA001,1,2010/05/09,539,
+07DA001,1,2010/05/10,520,
+07DA001,1,2010/05/11,505,
+07DA001,1,2010/05/12,490,
+07DA001,1,2010/05/13,476,
+07DA001,1,2010/05/14,459,
+07DA001,1,2010/05/15,447,
+07DA001,1,2010/05/16,431,
+07DA001,1,2010/05/17,420,
+07DA001,1,2010/05/18,408,
+07DA001,1,2010/05/19,398,
+07DA001,1,2010/05/20,413,
+07DA001,1,2010/05/21,427,A
+07DA001,1,2010/05/22,456,
+07DA001,1,2010/05/23,493,
+07DA001,1,2010/05/24,527,
+07DA001,1,2010/05/25,638,
+07DA001,1,2010/05/26,1040,
+07DA001,1,2010/05/27,1130,
+07DA001,1,2010/05/28,1050,
+07DA001,1,2010/05/29,972,
+07DA001,1,2010/05/30,949,
+07DA001,1,2010/05/31,914,
+07DA001,1,2010/06/01,873,
+07DA001,1,2010/06/02,838,
+07DA001,1,2010/06/03,835,
+07DA001,1,2010/06/04,871,
+07DA001,1,2010/06/05,940,
+07DA001,1,2010/06/06,979,
+07DA001,1,2010/06/07,994,
+07DA001,1,2010/06/08,973,
+07DA001,1,2010/06/09,953,
+07DA001,1,2010/06/10,933,
+07DA001,1,2010/06/11,894,
+07DA001,1,2010/06/12,852,
+07DA001,1,2010/06/13,830,
+07DA001,1,2010/06/14,843,
+07DA001,1,2010/06/15,867,
+07DA001,1,2010/06/16,963,
+07DA001,1,2010/06/17,976,
+07DA001,1,2010/06/18,965,
+07DA001,1,2010/06/19,1030,
+07DA001,1,2010/06/20,1080,
+07DA001,1,2010/06/21,1000,
+07DA001,1,2010/06/22,906,
+07DA001,1,2010/06/23,828,
+07DA001,1,2010/06/24,792,
+07DA001,1,2010/06/25,801,
+07DA001,1,2010/06/26,855,A
+07DA001,1,2010/06/27,918,A
+07DA001,1,2010/06/28,953,
+07DA001,1,2010/06/29,984,
+07DA001,1,2010/06/30,1000,
+07DA001,1,2010/07/01,997,
+07DA001,1,2010/07/02,973,
+07DA001,1,2010/07/03,947,
+07DA001,1,2010/07/04,943,
+07DA001,1,2010/07/05,940,
+07DA001,1,2010/07/06,927,
+07DA001,1,2010/07/07,870,
+07DA001,1,2010/07/08,794,
+07DA001,1,2010/07/09,729,
+07DA001,1,2010/07/10,683,A
+07DA001,1,2010/07/11,660,
+07DA001,1,2010/07/12,666,
+07DA001,1,2010/07/13,658,
+07DA001,1,2010/07/14,673,
+07DA001,1,2010/07/15,724,A
+07DA001,1,2010/07/16,814,
+07DA001,1,2010/07/17,885,
+07DA001,1,2010/07/18,996,
+07DA001,1,2010/07/19,1090,
+07DA001,1,2010/07/20,1100,
+07DA001,1,2010/07/21,1070,
+07DA001,1,2010/07/22,1030,
+07DA001,1,2010/07/23,1010,
+07DA001,1,2010/07/24,958,
+07DA001,1,2010/07/25,907,
+07DA001,1,2010/07/26,863,
+07DA001,1,2010/07/27,827,
+07DA001,1,2010/07/28,818,
+07DA001,1,2010/07/29,816,
+07DA001,1,2010/07/30,786,
+07DA001,1,2010/07/31,758,
+07DA001,1,2010/08/01,731,
+07DA001,1,2010/08/02,704,
+07DA001,1,2010/08/03,687,
+07DA001,1,2010/08/04,686,
+07DA001,1,2010/08/05,691,
+07DA001,1,2010/08/06,683,
+07DA001,1,2010/08/07,669,
+07DA001,1,2010/08/08,635,
+07DA001,1,2010/08/09,617,
+07DA001,1,2010/08/10,597,
+07DA001,1,2010/08/11,575,A
+07DA001,1,2010/08/12,564,A
+07DA001,1,2010/08/13,566,A
+07DA001,1,2010/08/14,570,
+07DA001,1,2010/08/15,581,A
+07DA001,1,2010/08/16,571,
+07DA001,1,2010/08/17,566,
+07DA001,1,2010/08/18,552,
+07DA001,1,2010/08/19,565,
+07DA001,1,2010/08/20,621,
+07DA001,1,2010/08/21,625,
+07DA001,1,2010/08/22,592,
+07DA001,1,2010/08/23,564,
+07DA001,1,2010/08/24,570,
+07DA001,1,2010/08/25,573,A
+07DA001,1,2010/08/26,573,
+07DA001,1,2010/08/27,595,
+07DA001,1,2010/08/28,582,
+07DA001,1,2010/08/29,591,
+07DA001,1,2010/08/30,601,
+07DA001,1,2010/08/31,607,
+07DA001,1,2010/09/01,608,
+07DA001,1,2010/09/02,644,
+07DA001,1,2010/09/03,703,
+07DA001,1,2010/09/04,692,
+07DA001,1,2010/09/05,661,
+07DA001,1,2010/09/06,651,
+07DA001,1,2010/09/07,663,
+07DA001,1,2010/09/08,672,
+07DA001,1,2010/09/09,668,
+07DA001,1,2010/09/10,659,
+07DA001,1,2010/09/11,651,
+07DA001,1,2010/09/12,656,
+07DA001,1,2010/09/13,654,
+07DA001,1,2010/09/14,640,
+07DA001,1,2010/09/15,632,
+07DA001,1,2010/09/16,632,
+07DA001,1,2010/09/17,622,
+07DA001,1,2010/09/18,620,
+07DA001,1,2010/09/19,636,
+07DA001,1,2010/09/20,658,
+07DA001,1,2010/09/21,656,
+07DA001,1,2010/09/22,650,
+07DA001,1,2010/09/23,668,
+07DA001,1,2010/09/24,681,
+07DA001,1,2010/09/25,668,
+07DA001,1,2010/09/26,664,
+07DA001,1,2010/09/27,656,
+07DA001,1,2010/09/28,649,
+07DA001,1,2010/09/29,633,
+07DA001,1,2010/09/30,620,
+07DA001,1,2010/10/01,606,
+07DA001,1,2010/10/02,582,
+07DA001,1,2010/10/03,681,
+07DA001,1,2010/10/04,939,
+07DA001,1,2010/10/05,1060,
+07DA001,1,2010/10/06,944,
+07DA001,1,2010/10/07,845,
+07DA001,1,2010/10/08,772,
+07DA001,1,2010/10/09,716,
+07DA001,1,2010/10/10,677,
+07DA001,1,2010/10/11,649,
+07DA001,1,2010/10/12,621,
+07DA001,1,2010/10/13,587,
+07DA001,1,2010/10/14,556,
+07DA001,1,2010/10/15,540,
+07DA001,1,2010/10/16,521,
+07DA001,1,2010/10/17,502,
+07DA001,1,2010/10/18,503,
+07DA001,1,2010/10/19,497,
+07DA001,1,2010/10/20,472,
+07DA001,1,2010/10/21,450,
+07DA001,1,2010/10/22,439,
+07DA001,1,2010/10/23,430,
+07DA001,1,2010/10/24,421,
+07DA001,1,2010/10/25,410,
+07DA001,1,2010/10/26,398,
+07DA001,1,2010/10/27,390,
+07DA001,1,2010/10/28,380,
+07DA001,1,2010/10/29,376,
+07DA001,1,2010/10/30,372,B
+07DA001,1,2010/10/31,365,B
+07DA001,1,2010/11/01,356,B
+07DA001,1,2010/11/02,354,B
+07DA001,1,2010/11/03,345,B
+07DA001,1,2010/11/04,340,B
+07DA001,1,2010/11/05,330,B
+07DA001,1,2010/11/06,320,B
+07DA001,1,2010/11/07,301,B
+07DA001,1,2010/11/08,311,B
+07DA001,1,2010/11/09,307,B
+07DA001,1,2010/11/10,282,B
+07DA001,1,2010/11/11,268,B
+07DA001,1,2010/11/12,229,B
+07DA001,1,2010/11/13,229,B
+07DA001,1,2010/11/14,226,B
+07DA001,1,2010/11/15,221,B
+07DA001,1,2010/11/16,215,B
+07DA001,1,2010/11/17,208,B
+07DA001,1,2010/11/18,185,B
+07DA001,1,2010/11/19,160,B
+07DA001,1,2010/11/20,140,B
+07DA001,1,2010/11/21,134,B
+07DA001,1,2010/11/22,129,B
+07DA001,1,2010/11/23,123,B
+07DA001,1,2010/11/24,121,B
+07DA001,1,2010/11/25,122,B
+07DA001,1,2010/11/26,124,B
+07DA001,1,2010/11/27,126,B
+07DA001,1,2010/11/28,127,B
+07DA001,1,2010/11/29,129,B
+07DA001,1,2010/11/30,133,B
+07DA001,1,2010/12/01,135,B
+07DA001,1,2010/12/02,139,B
+07DA001,1,2010/12/03,145,B
+07DA001,1,2010/12/04,151,B
+07DA001,1,2010/12/05,155,B
+07DA001,1,2010/12/06,159,B
+07DA001,1,2010/12/07,160,B
+07DA001,1,2010/12/08,158,B
+07DA001,1,2010/12/09,157,B
+07DA001,1,2010/12/10,155,B
+07DA001,1,2010/12/11,154,B
+07DA001,1,2010/12/12,154,B
+07DA001,1,2010/12/13,153,B
+07DA001,1,2010/12/14,151,B
+07DA001,1,2010/12/15,149,B
+07DA001,1,2010/12/16,146,B
+07DA001,1,2010/12/17,146,B
+07DA001,1,2010/12/18,144,B
+07DA001,1,2010/12/19,139,B
+07DA001,1,2010/12/20,136,B
+07DA001,1,2010/12/21,138,B
+07DA001,1,2010/12/22,137,B
+07DA001,1,2010/12/23,137,B
+07DA001,1,2010/12/24,138,B
+07DA001,1,2010/12/25,139,B
+07DA001,1,2010/12/26,138,B
+07DA001,1,2010/12/27,137,B
+07DA001,1,2010/12/28,136,B
+07DA001,1,2010/12/29,136,B
+07DA001,1,2010/12/30,135,B
+07DA001,1,2010/12/31,135,B
+07DA001,1,2011/01/01,136,B
+07DA001,1,2011/01/02,137,B
+07DA001,1,2011/01/03,138,B
+07DA001,1,2011/01/04,139,B
+07DA001,1,2011/01/05,140,B
+07DA001,1,2011/01/06,142,B
+07DA001,1,2011/01/07,142,B
+07DA001,1,2011/01/08,142,B
+07DA001,1,2011/01/09,142,B
+07DA001,1,2011/01/10,141,B
+07DA001,1,2011/01/11,140,B
+07DA001,1,2011/01/12,139,B
+07DA001,1,2011/01/13,132,B
+07DA001,1,2011/01/14,130,B
+07DA001,1,2011/01/15,126,B
+07DA001,1,2011/01/16,125,B
+07DA001,1,2011/01/17,125,B
+07DA001,1,2011/01/18,124,B
+07DA001,1,2011/01/19,125,B
+07DA001,1,2011/01/20,125,B
+07DA001,1,2011/01/21,125,B
+07DA001,1,2011/01/22,125,B
+07DA001,1,2011/01/23,126,B
+07DA001,1,2011/01/24,126,B
+07DA001,1,2011/01/25,126,B
+07DA001,1,2011/01/26,126,B
+07DA001,1,2011/01/27,126,B
+07DA001,1,2011/01/28,124,B
+07DA001,1,2011/01/29,122,B
+07DA001,1,2011/01/30,122,B
+07DA001,1,2011/01/31,122,B
+07DA001,1,2011/02/01,123,B
+07DA001,1,2011/02/02,125,B
+07DA001,1,2011/02/03,126,B
+07DA001,1,2011/02/04,126,B
+07DA001,1,2011/02/05,125,B
+07DA001,1,2011/02/06,125,B
+07DA001,1,2011/02/07,124,B
+07DA001,1,2011/02/08,124,B
+07DA001,1,2011/02/09,124,B
+07DA001,1,2011/02/10,124,B
+07DA001,1,2011/02/11,124,B
+07DA001,1,2011/02/12,124,B
+07DA001,1,2011/02/13,125,B
+07DA001,1,2011/02/14,125,B
+07DA001,1,2011/02/15,124,B
+07DA001,1,2011/02/16,123,B
+07DA001,1,2011/02/17,123,B
+07DA001,1,2011/02/18,122,B
+07DA001,1,2011/02/19,121,B
+07DA001,1,2011/02/20,120,B
+07DA001,1,2011/02/21,120,B
+07DA001,1,2011/02/22,120,B
+07DA001,1,2011/02/23,119,B
+07DA001,1,2011/02/24,119,B
+07DA001,1,2011/02/25,119,B
+07DA001,1,2011/02/26,119,B
+07DA001,1,2011/02/27,119,B
+07DA001,1,2011/02/28,119,B
+07DA001,1,2011/03/01,119,B
+07DA001,1,2011/03/02,119,B
+07DA001,1,2011/03/03,119,B
+07DA001,1,2011/03/04,119,B
+07DA001,1,2011/03/05,120,B
+07DA001,1,2011/03/06,120,B
+07DA001,1,2011/03/07,120,B
+07DA001,1,2011/03/08,120,B
+07DA001,1,2011/03/09,120,B
+07DA001,1,2011/03/10,120,B
+07DA001,1,2011/03/11,120,B
+07DA001,1,2011/03/12,121,B
+07DA001,1,2011/03/13,121,B
+07DA001,1,2011/03/14,121,B
+07DA001,1,2011/03/15,121,B
+07DA001,1,2011/03/16,122,B
+07DA001,1,2011/03/17,123,B
+07DA001,1,2011/03/18,125,B
+07DA001,1,2011/03/19,127,B
+07DA001,1,2011/03/20,129,B
+07DA001,1,2011/03/21,131,B
+07DA001,1,2011/03/22,134,B
+07DA001,1,2011/03/23,136,B
+07DA001,1,2011/03/24,138,B
+07DA001,1,2011/03/25,140,B
+07DA001,1,2011/03/26,142,B
+07DA001,1,2011/03/27,143,B
+07DA001,1,2011/03/28,145,B
+07DA001,1,2011/03/29,146,B
+07DA001,1,2011/03/30,147,B
+07DA001,1,2011/03/31,148,B
+07DA001,1,2011/04/01,148,B
+07DA001,1,2011/04/02,148,B
+07DA001,1,2011/04/03,149,B
+07DA001,1,2011/04/04,149,B
+07DA001,1,2011/04/05,149,B
+07DA001,1,2011/04/06,149,B
+07DA001,1,2011/04/07,150,B
+07DA001,1,2011/04/08,150,B
+07DA001,1,2011/04/09,151,B
+07DA001,1,2011/04/10,154,B
+07DA001,1,2011/04/11,159,B
+07DA001,1,2011/04/12,168,B
+07DA001,1,2011/04/13,179,B
+07DA001,1,2011/04/14,190,B
+07DA001,1,2011/04/15,199,B
+07DA001,1,2011/04/16,211,B
+07DA001,1,2011/04/17,231,B
+07DA001,1,2011/04/18,257,B
+07DA001,1,2011/04/19,280,B
+07DA001,1,2011/04/20,301,B
+07DA001,1,2011/04/21,312,B
+07DA001,1,2011/04/22,326,B
+07DA001,1,2011/04/23,339,B
+07DA001,1,2011/04/24,413,B
+07DA001,1,2011/04/25,470,B
+07DA001,1,2011/04/26,512,B
+07DA001,1,2011/04/27,510,B
+07DA001,1,2011/04/28,558,B
+07DA001,1,2011/04/29,676,B
+07DA001,1,2011/04/30,777,B
+07DA001,1,2011/05/01,835,
+07DA001,1,2011/05/02,971,
+07DA001,1,2011/05/03,1080,
+07DA001,1,2011/05/04,1130,
+07DA001,1,2011/05/05,1200,
+07DA001,1,2011/05/06,1260,
+07DA001,1,2011/05/07,1380,
+07DA001,1,2011/05/08,1380,
+07DA001,1,2011/05/09,1330,
+07DA001,1,2011/05/10,1280,
+07DA001,1,2011/05/11,1240,
+07DA001,1,2011/05/12,1210,
+07DA001,1,2011/05/13,1190,
+07DA001,1,2011/05/14,1170,
+07DA001,1,2011/05/15,1150,
+07DA001,1,2011/05/16,1120,
+07DA001,1,2011/05/17,1230,
+07DA001,1,2011/05/18,1260,
+07DA001,1,2011/05/19,1110,
+07DA001,1,2011/05/20,1010,
+07DA001,1,2011/05/21,959,
+07DA001,1,2011/05/22,933,
+07DA001,1,2011/05/23,904,
+07DA001,1,2011/05/24,890,
+07DA001,1,2011/05/25,855,
+07DA001,1,2011/05/26,835,
+07DA001,1,2011/05/27,905,
+07DA001,1,2011/05/28,1330,
+07DA001,1,2011/05/29,1380,
+07DA001,1,2011/05/30,1340,
+07DA001,1,2011/05/31,1350,
+07DA001,1,2011/06/01,1330,
+07DA001,1,2011/06/02,1270,
+07DA001,1,2011/06/03,1160,
+07DA001,1,2011/06/04,1060,
+07DA001,1,2011/06/05,1010,
+07DA001,1,2011/06/06,964,
+07DA001,1,2011/06/07,937,
+07DA001,1,2011/06/08,923,
+07DA001,1,2011/06/09,931,
+07DA001,1,2011/06/10,943,
+07DA001,1,2011/06/11,982,
+07DA001,1,2011/06/12,1030,
+07DA001,1,2011/06/13,1150,
+07DA001,1,2011/06/14,1160,
+07DA001,1,2011/06/15,1110,
+07DA001,1,2011/06/16,1170,
+07DA001,1,2011/06/17,1190,
+07DA001,1,2011/06/18,1190,
+07DA001,1,2011/06/19,1260,
+07DA001,1,2011/06/20,1730,
+07DA001,1,2011/06/21,2600,
+07DA001,1,2011/06/22,3240,
+07DA001,1,2011/06/23,3570,
+07DA001,1,2011/06/24,3750,A
+07DA001,1,2011/06/25,3480,
+07DA001,1,2011/06/26,3170,
+07DA001,1,2011/06/27,3070,
+07DA001,1,2011/06/28,3070,
+07DA001,1,2011/06/29,2840,
+07DA001,1,2011/06/30,2550,
+07DA001,1,2011/07/01,2320,
+07DA001,1,2011/07/02,2140,
+07DA001,1,2011/07/03,1960,
+07DA001,1,2011/07/04,1920,
+07DA001,1,2011/07/05,1930,
+07DA001,1,2011/07/06,1770,
+07DA001,1,2011/07/07,1550,
+07DA001,1,2011/07/08,1410,
+07DA001,1,2011/07/09,1400,
+07DA001,1,2011/07/10,1440,
+07DA001,1,2011/07/11,2260,
+07DA001,1,2011/07/12,3930,
+07DA001,1,2011/07/13,4410,
+07DA001,1,2011/07/14,4060,
+07DA001,1,2011/07/15,3510,
+07DA001,1,2011/07/16,3140,
+07DA001,1,2011/07/17,2890,
+07DA001,1,2011/07/18,2750,
+07DA001,1,2011/07/19,2620,
+07DA001,1,2011/07/20,2400,
+07DA001,1,2011/07/21,2180,
+07DA001,1,2011/07/22,1990,
+07DA001,1,2011/07/23,1850,
+07DA001,1,2011/07/24,1800,
+07DA001,1,2011/07/25,1870,
+07DA001,1,2011/07/26,1900,
+07DA001,1,2011/07/27,1810,
+07DA001,1,2011/07/28,1700,
+07DA001,1,2011/07/29,1580,
+07DA001,1,2011/07/30,1460,
+07DA001,1,2011/07/31,1380,
+07DA001,1,2011/08/01,1300,
+07DA001,1,2011/08/02,1230,
+07DA001,1,2011/08/03,1160,
+07DA001,1,2011/08/04,1110,
+07DA001,1,2011/08/05,1060,
+07DA001,1,2011/08/06,1040,
+07DA001,1,2011/08/07,1080,
+07DA001,1,2011/08/08,1030,
+07DA001,1,2011/08/09,980,
+07DA001,1,2011/08/10,953,
+07DA001,1,2011/08/11,965,
+07DA001,1,2011/08/12,1000,
+07DA001,1,2011/08/13,1020,
+07DA001,1,2011/08/14,976,
+07DA001,1,2011/08/15,935,
+07DA001,1,2011/08/16,927,
+07DA001,1,2011/08/17,935,
+07DA001,1,2011/08/18,943,
+07DA001,1,2011/08/19,922,
+07DA001,1,2011/08/20,902,
+07DA001,1,2011/08/21,874,
+07DA001,1,2011/08/22,838,
+07DA001,1,2011/08/23,792,
+07DA001,1,2011/08/24,759,
+07DA001,1,2011/08/25,736,
+07DA001,1,2011/08/26,700,
+07DA001,1,2011/08/27,672,
+07DA001,1,2011/08/28,658,
+07DA001,1,2011/08/29,681,A
+07DA001,1,2011/08/30,735,
+07DA001,1,2011/08/31,717,
+07DA001,1,2011/09/01,686,
+07DA001,1,2011/09/02,654,
+07DA001,1,2011/09/03,626,
+07DA001,1,2011/09/04,609,
+07DA001,1,2011/09/05,601,
+07DA001,1,2011/09/06,602,
+07DA001,1,2011/09/07,588,
+07DA001,1,2011/09/08,563,
+07DA001,1,2011/09/09,541,
+07DA001,1,2011/09/10,522,
+07DA001,1,2011/09/11,499,
+07DA001,1,2011/09/12,485,
+07DA001,1,2011/09/13,476,
+07DA001,1,2011/09/14,469,
+07DA001,1,2011/09/15,465,
+07DA001,1,2011/09/16,464,
+07DA001,1,2011/09/17,474,
+07DA001,1,2011/09/18,478,
+07DA001,1,2011/09/19,477,
+07DA001,1,2011/09/20,478,
+07DA001,1,2011/09/21,471,
+07DA001,1,2011/09/22,465,
+07DA001,1,2011/09/23,462,
+07DA001,1,2011/09/24,461,
+07DA001,1,2011/09/25,443,
+07DA001,1,2011/09/26,428,
+07DA001,1,2011/09/27,420,
+07DA001,1,2011/09/28,412,
+07DA001,1,2011/09/29,393,
+07DA001,1,2011/09/30,397,
+07DA001,1,2011/10/01,463,
+07DA001,1,2011/10/02,493,
+07DA001,1,2011/10/03,501,
+07DA001,1,2011/10/04,492,
+07DA001,1,2011/10/05,476,
+07DA001,1,2011/10/06,453,
+07DA001,1,2011/10/07,428,
+07DA001,1,2011/10/08,424,
+07DA001,1,2011/10/09,465,
+07DA001,1,2011/10/10,476,
+07DA001,1,2011/10/11,473,
+07DA001,1,2011/10/12,483,
+07DA001,1,2011/10/13,465,
+07DA001,1,2011/10/14,444,
+07DA001,1,2011/10/15,428,
+07DA001,1,2011/10/16,413,
+07DA001,1,2011/10/17,401,
+07DA001,1,2011/10/18,390,
+07DA001,1,2011/10/19,381,
+07DA001,1,2011/10/20,377,
+07DA001,1,2011/10/21,368,
+07DA001,1,2011/10/22,362,
+07DA001,1,2011/10/23,354,
+07DA001,1,2011/10/24,348,A
+07DA001,1,2011/10/25,342,
+07DA001,1,2011/10/26,335,
+07DA001,1,2011/10/27,333,
+07DA001,1,2011/10/28,329,
+07DA001,1,2011/10/29,330,
+07DA001,1,2011/10/30,326,
+07DA001,1,2011/10/31,323,
+07DA001,1,2011/11/01,321,
+07DA001,1,2011/11/02,309,
+07DA001,1,2011/11/03,304,
+07DA001,1,2011/11/04,268,B
+07DA001,1,2011/11/05,249,B
+07DA001,1,2011/11/06,227,B
+07DA001,1,2011/11/07,209,B
+07DA001,1,2011/11/08,203,B
+07DA001,1,2011/11/09,207,B
+07DA001,1,2011/11/10,206,B
+07DA001,1,2011/11/11,203,B
+07DA001,1,2011/11/12,204,B
+07DA001,1,2011/11/13,199,B
+07DA001,1,2011/11/14,188,B
+07DA001,1,2011/11/15,175,B
+07DA001,1,2011/11/16,162,B
+07DA001,1,2011/11/17,153,B
+07DA001,1,2011/11/18,145,B
+07DA001,1,2011/11/19,140,B
+07DA001,1,2011/11/20,138,B
+07DA001,1,2011/11/21,139,B
+07DA001,1,2011/11/22,143,B
+07DA001,1,2011/11/23,147,B
+07DA001,1,2011/11/24,153,B
+07DA001,1,2011/11/25,159,B
+07DA001,1,2011/11/26,163,B
+07DA001,1,2011/11/27,166,B
+07DA001,1,2011/11/28,168,B
+07DA001,1,2011/11/29,168,B
+07DA001,1,2011/11/30,168,B
+07DA001,1,2011/12/01,167,B
+07DA001,1,2011/12/02,166,B
+07DA001,1,2011/12/03,166,B
+07DA001,1,2011/12/04,167,B
+07DA001,1,2011/12/05,168,B
+07DA001,1,2011/12/06,165,B
+07DA001,1,2011/12/07,162,B
+07DA001,1,2011/12/08,160,B
+07DA001,1,2011/12/09,162,B
+07DA001,1,2011/12/10,164,B
+07DA001,1,2011/12/11,165,B
+07DA001,1,2011/12/12,166,B
+07DA001,1,2011/12/13,165,B
+07DA001,1,2011/12/14,164,B
+07DA001,1,2011/12/15,162,B
+07DA001,1,2011/12/16,162,B
+07DA001,1,2011/12/17,162,B
+07DA001,1,2011/12/18,163,B
+07DA001,1,2011/12/19,163,B
+07DA001,1,2011/12/20,164,B
+07DA001,1,2011/12/21,164,B
+07DA001,1,2011/12/22,164,B
+07DA001,1,2011/12/23,164,B
+07DA001,1,2011/12/24,164,B
+07DA001,1,2011/12/25,164,B
+07DA001,1,2011/12/26,164,B
+07DA001,1,2011/12/27,164,B
+07DA001,1,2011/12/28,163,B
+07DA001,1,2011/12/29,162,B
+07DA001,1,2011/12/30,161,B
+07DA001,1,2011/12/31,160,B
+07DA001,1,2012/01/01,157,B
+07DA001,1,2012/01/02,154,B
+07DA001,1,2012/01/03,151,B
+07DA001,1,2012/01/04,148,B
+07DA001,1,2012/01/05,146,B
+07DA001,1,2012/01/06,145,B
+07DA001,1,2012/01/07,145,B
+07DA001,1,2012/01/08,147,B
+07DA001,1,2012/01/09,148,B
+07DA001,1,2012/01/10,148,B
+07DA001,1,2012/01/11,147,B
+07DA001,1,2012/01/12,145,B
+07DA001,1,2012/01/13,141,B
+07DA001,1,2012/01/14,137,B
+07DA001,1,2012/01/15,135,B
+07DA001,1,2012/01/16,133,B
+07DA001,1,2012/01/17,133,B
+07DA001,1,2012/01/18,132,B
+07DA001,1,2012/01/19,131,B
+07DA001,1,2012/01/20,129,B
+07DA001,1,2012/01/21,125,B
+07DA001,1,2012/01/22,121,B
+07DA001,1,2012/01/23,119,B
+07DA001,1,2012/01/24,120,B
+07DA001,1,2012/01/25,123,B
+07DA001,1,2012/01/26,125,B
+07DA001,1,2012/01/27,125,B
+07DA001,1,2012/01/28,122,B
+07DA001,1,2012/01/29,119,B
+07DA001,1,2012/01/30,116,B
+07DA001,1,2012/01/31,115,B
+07DA001,1,2012/02/01,116,B
+07DA001,1,2012/02/02,118,B
+07DA001,1,2012/02/03,120,B
+07DA001,1,2012/02/04,120,B
+07DA001,1,2012/02/05,118,B
+07DA001,1,2012/02/06,115,B
+07DA001,1,2012/02/07,112,B
+07DA001,1,2012/02/08,109,B
+07DA001,1,2012/02/09,108,B
+07DA001,1,2012/02/10,108,B
+07DA001,1,2012/02/11,108,B
+07DA001,1,2012/02/12,109,B
+07DA001,1,2012/02/13,111,B
+07DA001,1,2012/02/14,112,B
+07DA001,1,2012/02/15,112,B
+07DA001,1,2012/02/16,113,B
+07DA001,1,2012/02/17,113,B
+07DA001,1,2012/02/18,113,B
+07DA001,1,2012/02/19,113,B
+07DA001,1,2012/02/20,112,B
+07DA001,1,2012/02/21,111,B
+07DA001,1,2012/02/22,109,B
+07DA001,1,2012/02/23,108,B
+07DA001,1,2012/02/24,106,B
+07DA001,1,2012/02/25,105,B
+07DA001,1,2012/02/26,105,B
+07DA001,1,2012/02/27,105,B
+07DA001,1,2012/02/28,105,B
+07DA001,1,2012/02/29,106,B
+07DA001,1,2012/03/01,106,B
+07DA001,1,2012/03/02,107,B
+07DA001,1,2012/03/03,107,B
+07DA001,1,2012/03/04,106,B
+07DA001,1,2012/03/05,106,B
+07DA001,1,2012/03/06,105,B
+07DA001,1,2012/03/07,106,B
+07DA001,1,2012/03/08,106,B
+07DA001,1,2012/03/09,106,B
+07DA001,1,2012/03/10,107,B
+07DA001,1,2012/03/11,107,B
+07DA001,1,2012/03/12,107,B
+07DA001,1,2012/03/13,107,B
+07DA001,1,2012/03/14,107,B
+07DA001,1,2012/03/15,107,B
+07DA001,1,2012/03/16,107,B
+07DA001,1,2012/03/17,108,B
+07DA001,1,2012/03/18,108,B
+07DA001,1,2012/03/19,108,B
+07DA001,1,2012/03/20,109,B
+07DA001,1,2012/03/21,109,B
+07DA001,1,2012/03/22,111,B
+07DA001,1,2012/03/23,113,B
+07DA001,1,2012/03/24,117,B
+07DA001,1,2012/03/25,121,B
+07DA001,1,2012/03/26,126,B
+07DA001,1,2012/03/27,131,B
+07DA001,1,2012/03/28,137,B
+07DA001,1,2012/03/29,143,B
+07DA001,1,2012/03/30,149,B
+07DA001,1,2012/03/31,156,B
+07DA001,1,2012/04/01,163,B
+07DA001,1,2012/04/02,172,B
+07DA001,1,2012/04/03,181,B
+07DA001,1,2012/04/04,191,B
+07DA001,1,2012/04/05,203,B
+07DA001,1,2012/04/06,216,B
+07DA001,1,2012/04/07,230,B
+07DA001,1,2012/04/08,246,B
+07DA001,1,2012/04/09,262,B
+07DA001,1,2012/04/10,281,B
+07DA001,1,2012/04/11,300,B
+07DA001,1,2012/04/12,321,B
+07DA001,1,2012/04/13,342,B
+07DA001,1,2012/04/14,365,B
+07DA001,1,2012/04/15,389,B
+07DA001,1,2012/04/16,413,B
+07DA001,1,2012/04/17,439,B
+07DA001,1,2012/04/18,465,B
+07DA001,1,2012/04/19,493,B
+07DA001,1,2012/04/20,520,B
+07DA001,1,2012/04/21,548,B
+07DA001,1,2012/04/22,586,B
+07DA001,1,2012/04/23,632,B
+07DA001,1,2012/04/24,682,B
+07DA001,1,2012/04/25,727,B
+07DA001,1,2012/04/26,767,B
+07DA001,1,2012/04/27,827,B
+07DA001,1,2012/04/28,871,B
+07DA001,1,2012/04/29,916,B
+07DA001,1,2012/04/30,1070,
+07DA001,1,2012/05/01,1110,
+07DA001,1,2012/05/02,1060,
+07DA001,1,2012/05/03,1100,
+07DA001,1,2012/05/04,1120,
+07DA001,1,2012/05/05,1110,
+07DA001,1,2012/05/06,1170,
+07DA001,1,2012/05/07,1170,
+07DA001,1,2012/05/08,1140,
+07DA001,1,2012/05/09,1120,
+07DA001,1,2012/05/10,1080,
+07DA001,1,2012/05/11,1020,
+07DA001,1,2012/05/12,965,
+07DA001,1,2012/05/13,919,
+07DA001,1,2012/05/14,887,
+07DA001,1,2012/05/15,866,A
+07DA001,1,2012/05/16,864,
+07DA001,1,2012/05/17,833,
+07DA001,1,2012/05/18,795,A
+07DA001,1,2012/05/19,776,
+07DA001,1,2012/05/20,762,
+07DA001,1,2012/05/21,772,
+07DA001,1,2012/05/22,806,
+07DA001,1,2012/05/23,867,
+07DA001,1,2012/05/24,876,
+07DA001,1,2012/05/25,845,
+07DA001,1,2012/05/26,811,
+07DA001,1,2012/05/27,819,
+07DA001,1,2012/05/28,921,
+07DA001,1,2012/05/29,989,
+07DA001,1,2012/05/30,940,
+07DA001,1,2012/05/31,877,A
+07DA001,1,2012/06/01,816,A
+07DA001,1,2012/06/02,777,
+07DA001,1,2012/06/03,784,
+07DA001,1,2012/06/04,843,
+07DA001,1,2012/06/05,860,
+07DA001,1,2012/06/06,835,
+07DA001,1,2012/06/07,809,
+07DA001,1,2012/06/08,814,
+07DA001,1,2012/06/09,853,
+07DA001,1,2012/06/10,913,
+07DA001,1,2012/06/11,1860,
+07DA001,1,2012/06/12,2200,
+07DA001,1,2012/06/13,2230,
+07DA001,1,2012/06/14,2500,
+07DA001,1,2012/06/15,2290,
+07DA001,1,2012/06/16,2090,
+07DA001,1,2012/06/17,2040,
+07DA001,1,2012/06/18,1990,
+07DA001,1,2012/06/19,1890,
+07DA001,1,2012/06/20,1740,
+07DA001,1,2012/06/21,1590,
+07DA001,1,2012/06/22,1640,
+07DA001,1,2012/06/23,1670,
+07DA001,1,2012/06/24,1590,
+07DA001,1,2012/06/25,1500,
+07DA001,1,2012/06/26,1420,
+07DA001,1,2012/06/27,1380,A
+07DA001,1,2012/06/28,1490,
+07DA001,1,2012/06/29,1610,
+07DA001,1,2012/06/30,1590,
+07DA001,1,2012/07/01,1460,A
+07DA001,1,2012/07/02,1360,
+07DA001,1,2012/07/03,1280,
+07DA001,1,2012/07/04,1290,
+07DA001,1,2012/07/05,1350,
+07DA001,1,2012/07/06,1440,
+07DA001,1,2012/07/07,1540,
+07DA001,1,2012/07/08,1860,A
+07DA001,1,2012/07/09,2020,
+07DA001,1,2012/07/10,1820,
+07DA001,1,2012/07/11,1610,
+07DA001,1,2012/07/12,1440,
+07DA001,1,2012/07/13,1380,
+07DA001,1,2012/07/14,1380,
+07DA001,1,2012/07/15,1380,
+07DA001,1,2012/07/16,1380,
+07DA001,1,2012/07/17,1360,
+07DA001,1,2012/07/18,1360,
+07DA001,1,2012/07/19,1650,
+07DA001,1,2012/07/20,1810,A
+07DA001,1,2012/07/21,1780,
+07DA001,1,2012/07/22,1720,A
+07DA001,1,2012/07/23,1650,
+07DA001,1,2012/07/24,1590,
+07DA001,1,2012/07/25,1670,A
+07DA001,1,2012/07/26,1640,
+07DA001,1,2012/07/27,2430,A
+07DA001,1,2012/07/28,3390,
+07DA001,1,2012/07/29,3680,
+07DA001,1,2012/07/30,3270,
+07DA001,1,2012/07/31,2670,
+07DA001,1,2012/08/01,2330,
+07DA001,1,2012/08/02,2140,
+07DA001,1,2012/08/03,2000,
+07DA001,1,2012/08/04,1880,
+07DA001,1,2012/08/05,1740,
+07DA001,1,2012/08/06,1590,
+07DA001,1,2012/08/07,1500,
+07DA001,1,2012/08/08,1410,
+07DA001,1,2012/08/09,1350,A
+07DA001,1,2012/08/10,1280,
+07DA001,1,2012/08/11,1230,
+07DA001,1,2012/08/12,1200,A
+07DA001,1,2012/08/13,1200,A
+07DA001,1,2012/08/14,1160,
+07DA001,1,2012/08/15,1090,
+07DA001,1,2012/08/16,1030,
+07DA001,1,2012/08/17,966,
+07DA001,1,2012/08/18,913,
+07DA001,1,2012/08/19,883,
+07DA001,1,2012/08/20,881,
+07DA001,1,2012/08/21,886,
+07DA001,1,2012/08/22,842,
+07DA001,1,2012/08/23,803,
+07DA001,1,2012/08/24,781,
+07DA001,1,2012/08/25,767,
+07DA001,1,2012/08/26,770,
+07DA001,1,2012/08/27,780,
+07DA001,1,2012/08/28,782,
+07DA001,1,2012/08/29,763,
+07DA001,1,2012/08/30,733,
+07DA001,1,2012/08/31,702,
+07DA001,1,2012/09/01,669,
+07DA001,1,2012/09/02,665,
+07DA001,1,2012/09/03,675,
+07DA001,1,2012/09/04,704,
+07DA001,1,2012/09/05,750,
+07DA001,1,2012/09/06,775,
+07DA001,1,2012/09/07,775,
+07DA001,1,2012/09/08,761,
+07DA001,1,2012/09/09,737,
+07DA001,1,2012/09/10,709,
+07DA001,1,2012/09/11,742,
+07DA001,1,2012/09/12,773,
+07DA001,1,2012/09/13,806,
+07DA001,1,2012/09/14,797,
+07DA001,1,2012/09/15,773,
+07DA001,1,2012/09/16,747,
+07DA001,1,2012/09/17,733,
+07DA001,1,2012/09/18,710,
+07DA001,1,2012/09/19,674,
+07DA001,1,2012/09/20,637,
+07DA001,1,2012/09/21,608,
+07DA001,1,2012/09/22,591,
+07DA001,1,2012/09/23,578,
+07DA001,1,2012/09/24,561,
+07DA001,1,2012/09/25,544,
+07DA001,1,2012/09/26,528,
+07DA001,1,2012/09/27,518,
+07DA001,1,2012/09/28,511,
+07DA001,1,2012/09/29,504,
+07DA001,1,2012/09/30,500,
+07DA001,1,2012/10/01,498,
+07DA001,1,2012/10/02,508,
+07DA001,1,2012/10/03,512,
+07DA001,1,2012/10/04,512,
+07DA001,1,2012/10/05,497,
+07DA001,1,2012/10/06,484,
+07DA001,1,2012/10/07,486,
+07DA001,1,2012/10/08,480,
+07DA001,1,2012/10/09,472,
+07DA001,1,2012/10/10,510,
+07DA001,1,2012/10/11,490,
+07DA001,1,2012/10/12,472,
+07DA001,1,2012/10/13,456,
+07DA001,1,2012/10/14,444,
+07DA001,1,2012/10/15,446,
+07DA001,1,2012/10/16,443,
+07DA001,1,2012/10/17,455,
+07DA001,1,2012/10/18,460,
+07DA001,1,2012/10/19,466,
+07DA001,1,2012/10/20,476,
+07DA001,1,2012/10/21,494,
+07DA001,1,2012/10/22,499,
+07DA001,1,2012/10/23,497,
+07DA001,1,2012/10/24,514,
+07DA001,1,2012/10/25,519,
+07DA001,1,2012/10/26,495,
+07DA001,1,2012/10/27,461,B
+07DA001,1,2012/10/28,424,B
+07DA001,1,2012/10/29,410,B
+07DA001,1,2012/10/30,402,B
+07DA001,1,2012/10/31,390,B
+07DA001,1,2012/11/01,377,B
+07DA001,1,2012/11/02,361,B
+07DA001,1,2012/11/03,344,B
+07DA001,1,2012/11/04,326,B
+07DA001,1,2012/11/05,308,B
+07DA001,1,2012/11/06,290,B
+07DA001,1,2012/11/07,274,B
+07DA001,1,2012/11/08,264,B
+07DA001,1,2012/11/09,255,B
+07DA001,1,2012/11/10,246,B
+07DA001,1,2012/11/11,237,B
+07DA001,1,2012/11/12,230,B
+07DA001,1,2012/11/13,224,B
+07DA001,1,2012/11/14,219,B
+07DA001,1,2012/11/15,217,B
+07DA001,1,2012/11/16,217,B
+07DA001,1,2012/11/17,218,B
+07DA001,1,2012/11/18,218,B
+07DA001,1,2012/11/19,218,B
+07DA001,1,2012/11/20,216,B
+07DA001,1,2012/11/21,211,B
+07DA001,1,2012/11/22,204,B
+07DA001,1,2012/11/23,199,B
+07DA001,1,2012/11/24,199,B
+07DA001,1,2012/11/25,202,B
+07DA001,1,2012/11/26,206,B
+07DA001,1,2012/11/27,209,B
+07DA001,1,2012/11/28,212,B
+07DA001,1,2012/11/29,215,B
+07DA001,1,2012/11/30,217,B
+07DA001,1,2012/12/01,219,B
+07DA001,1,2012/12/02,221,B
+07DA001,1,2012/12/03,222,B
+07DA001,1,2012/12/04,222,B
+07DA001,1,2012/12/05,222,B
+07DA001,1,2012/12/06,222,B
+07DA001,1,2012/12/07,220,B
+07DA001,1,2012/12/08,219,B
+07DA001,1,2012/12/09,217,B
+07DA001,1,2012/12/10,216,B
+07DA001,1,2012/12/11,216,B
+07DA001,1,2012/12/12,215,B
+07DA001,1,2012/12/13,215,B
+07DA001,1,2012/12/14,214,B
+07DA001,1,2012/12/15,214,B
+07DA001,1,2012/12/16,213,B
+07DA001,1,2012/12/17,213,B
+07DA001,1,2012/12/18,213,B
+07DA001,1,2012/12/19,213,B
+07DA001,1,2012/12/20,213,B
+07DA001,1,2012/12/21,212,B
+07DA001,1,2012/12/22,210,B
+07DA001,1,2012/12/23,207,B
+07DA001,1,2012/12/24,205,B
+07DA001,1,2012/12/25,203,B
+07DA001,1,2012/12/26,201,B
+07DA001,1,2012/12/27,199,B
+07DA001,1,2012/12/28,197,B
+07DA001,1,2012/12/29,196,B
+07DA001,1,2012/12/30,194,B
+07DA001,1,2012/12/31,193,B
+07DA001,1,2013/01/01,192,B
+07DA001,1,2013/01/02,190,B
+07DA001,1,2013/01/03,189,B
+07DA001,1,2013/01/04,187,B
+07DA001,1,2013/01/05,186,B
+07DA001,1,2013/01/06,184,B
+07DA001,1,2013/01/07,183,B
+07DA001,1,2013/01/08,181,B
+07DA001,1,2013/01/09,180,B
+07DA001,1,2013/01/10,181,B
+07DA001,1,2013/01/11,182,B
+07DA001,1,2013/01/12,184,B
+07DA001,1,2013/01/13,187,B
+07DA001,1,2013/01/14,189,B
+07DA001,1,2013/01/15,190,B
+07DA001,1,2013/01/16,189,B
+07DA001,1,2013/01/17,185,B
+07DA001,1,2013/01/18,181,B
+07DA001,1,2013/01/19,177,B
+07DA001,1,2013/01/20,174,B
+07DA001,1,2013/01/21,171,B
+07DA001,1,2013/01/22,168,B
+07DA001,1,2013/01/23,166,B
+07DA001,1,2013/01/24,164,B
+07DA001,1,2013/01/25,164,B
+07DA001,1,2013/01/26,163,B
+07DA001,1,2013/01/27,161,B
+07DA001,1,2013/01/28,159,B
+07DA001,1,2013/01/29,156,B
+07DA001,1,2013/01/30,156,B
+07DA001,1,2013/01/31,156,B
+07DA001,1,2013/02/01,157,B
+07DA001,1,2013/02/02,158,B
+07DA001,1,2013/02/03,159,B
+07DA001,1,2013/02/04,159,B
+07DA001,1,2013/02/05,157,B
+07DA001,1,2013/02/06,156,B
+07DA001,1,2013/02/07,154,B
+07DA001,1,2013/02/08,152,B
+07DA001,1,2013/02/09,150,B
+07DA001,1,2013/02/10,149,B
+07DA001,1,2013/02/11,148,B
+07DA001,1,2013/02/12,148,B
+07DA001,1,2013/02/13,150,B
+07DA001,1,2013/02/14,152,B
+07DA001,1,2013/02/15,154,B
+07DA001,1,2013/02/16,155,B
+07DA001,1,2013/02/17,155,B
+07DA001,1,2013/02/18,155,B
+07DA001,1,2013/02/19,155,B
+07DA001,1,2013/02/20,155,B
+07DA001,1,2013/02/21,156,B
+07DA001,1,2013/02/22,156,B
+07DA001,1,2013/02/23,156,B
+07DA001,1,2013/02/24,156,B
+07DA001,1,2013/02/25,156,B
+07DA001,1,2013/02/26,156,B
+07DA001,1,2013/02/27,156,B
+07DA001,1,2013/02/28,157,B
+07DA001,1,2013/03/01,158,B
+07DA001,1,2013/03/02,157,B
+07DA001,1,2013/03/03,157,B
+07DA001,1,2013/03/04,156,B
+07DA001,1,2013/03/05,155,B
+07DA001,1,2013/03/06,154,B
+07DA001,1,2013/03/07,154,B
+07DA001,1,2013/03/08,153,B
+07DA001,1,2013/03/09,153,B
+07DA001,1,2013/03/10,153,B
+07DA001,1,2013/03/11,152,B
+07DA001,1,2013/03/12,153,B
+07DA001,1,2013/03/13,153,B
+07DA001,1,2013/03/14,153,B
+07DA001,1,2013/03/15,152,B
+07DA001,1,2013/03/16,152,B
+07DA001,1,2013/03/17,151,B
+07DA001,1,2013/03/18,149,B
+07DA001,1,2013/03/19,147,B
+07DA001,1,2013/03/20,146,B
+07DA001,1,2013/03/21,147,B
+07DA001,1,2013/03/22,149,B
+07DA001,1,2013/03/23,149,B
+07DA001,1,2013/03/24,148,B
+07DA001,1,2013/03/25,146,B
+07DA001,1,2013/03/26,144,B
+07DA001,1,2013/03/27,143,B
+07DA001,1,2013/03/28,143,B
+07DA001,1,2013/03/29,144,B
+07DA001,1,2013/03/30,147,B
+07DA001,1,2013/03/31,149,B
+07DA001,1,2013/04/01,151,B
+07DA001,1,2013/04/02,152,B
+07DA001,1,2013/04/03,151,B
+07DA001,1,2013/04/04,150,B
+07DA001,1,2013/04/05,149,B
+07DA001,1,2013/04/06,149,B
+07DA001,1,2013/04/07,150,B
+07DA001,1,2013/04/08,151,B
+07DA001,1,2013/04/09,153,B
+07DA001,1,2013/04/10,158,B
+07DA001,1,2013/04/11,165,B
+07DA001,1,2013/04/12,174,B
+07DA001,1,2013/04/13,183,B
+07DA001,1,2013/04/14,191,B
+07DA001,1,2013/04/15,197,B
+07DA001,1,2013/04/16,201,B
+07DA001,1,2013/04/17,204,B
+07DA001,1,2013/04/18,204,B
+07DA001,1,2013/04/19,204,B
+07DA001,1,2013/04/20,205,B
+07DA001,1,2013/04/21,206,B
+07DA001,1,2013/04/22,207,B
+07DA001,1,2013/04/23,204,B
+07DA001,1,2013/04/24,206,B
+07DA001,1,2013/04/25,232,B
+07DA001,1,2013/04/26,279,B
+07DA001,1,2013/04/27,331,B
+07DA001,1,2013/04/28,371,B
+07DA001,1,2013/04/29,395,B
+07DA001,1,2013/04/30,432,B
+07DA001,1,2013/05/01,523,B
+07DA001,1,2013/05/02,666,B
+07DA001,1,2013/05/03,859,B
+07DA001,1,2013/05/04,1100,B
+07DA001,1,2013/05/05,1380,B
+07DA001,1,2013/05/06,1730,B
+07DA001,1,2013/05/07,2150,
+07DA001,1,2013/05/08,2400,
+07DA001,1,2013/05/09,2550,
+07DA001,1,2013/05/10,2620,
+07DA001,1,2013/05/11,2600,
+07DA001,1,2013/05/12,2500,
+07DA001,1,2013/05/13,2440,
+07DA001,1,2013/05/14,2360,
+07DA001,1,2013/05/15,2270,
+07DA001,1,2013/05/16,2200,
+07DA001,1,2013/05/17,2150,
+07DA001,1,2013/05/18,2250,
+07DA001,1,2013/05/19,2170,
+07DA001,1,2013/05/20,1990,
+07DA001,1,2013/05/21,1820,
+07DA001,1,2013/05/22,1670,
+07DA001,1,2013/05/23,1540,
+07DA001,1,2013/05/24,1460,
+07DA001,1,2013/05/25,1390,
+07DA001,1,2013/05/26,1330,
+07DA001,1,2013/05/27,1290,
+07DA001,1,2013/05/28,1280,
+07DA001,1,2013/05/29,1330,
+07DA001,1,2013/05/30,1830,
+07DA001,1,2013/05/31,1830,
+07DA001,1,2013/06/01,1760,
+07DA001,1,2013/06/02,1720,
+07DA001,1,2013/06/03,1680,
+07DA001,1,2013/06/04,1690,
+07DA001,1,2013/06/05,1750,
+07DA001,1,2013/06/06,1790,
+07DA001,1,2013/06/07,1770,
+07DA001,1,2013/06/08,1890,
+07DA001,1,2013/06/09,1980,
+07DA001,1,2013/06/10,2330,
+07DA001,1,2013/06/11,2680,
+07DA001,1,2013/06/12,2740,
+07DA001,1,2013/06/13,2790,
+07DA001,1,2013/06/14,2680,
+07DA001,1,2013/06/15,2550,
+07DA001,1,2013/06/16,2470,
+07DA001,1,2013/06/17,2400,
+07DA001,1,2013/06/18,2400,A
+07DA001,1,2013/06/19,2420,A
+07DA001,1,2013/06/20,2390,
+07DA001,1,2013/06/21,2280,
+07DA001,1,2013/06/22,2170,
+07DA001,1,2013/06/23,2220,
+07DA001,1,2013/06/24,2600,
+07DA001,1,2013/06/25,3050,
+07DA001,1,2013/06/26,3050,
+07DA001,1,2013/06/27,2750,
+07DA001,1,2013/06/28,2520,
+07DA001,1,2013/06/29,2320,
+07DA001,1,2013/06/30,2160,
+07DA001,1,2013/07/01,2020,
+07DA001,1,2013/07/02,1860,
+07DA001,1,2013/07/03,1720,
+07DA001,1,2013/07/04,1620,
+07DA001,1,2013/07/05,1570,
+07DA001,1,2013/07/06,1540,
+07DA001,1,2013/07/07,1540,
+07DA001,1,2013/07/08,1630,
+07DA001,1,2013/07/09,1640,
+07DA001,1,2013/07/10,1550,
+07DA001,1,2013/07/11,1460,
+07DA001,1,2013/07/12,1420,
+07DA001,1,2013/07/13,1380,
+07DA001,1,2013/07/14,1340,
+07DA001,1,2013/07/15,1320,
+07DA001,1,2013/07/16,1350,
+07DA001,1,2013/07/17,1370,
+07DA001,1,2013/07/18,1310,
+07DA001,1,2013/07/19,1220,
+07DA001,1,2013/07/20,1150,
+07DA001,1,2013/07/21,1130,
+07DA001,1,2013/07/22,1120,
+07DA001,1,2013/07/23,1100,
+07DA001,1,2013/07/24,1090,
+07DA001,1,2013/07/25,1090,A
+07DA001,1,2013/07/26,1110,
+07DA001,1,2013/07/27,1100,
+07DA001,1,2013/07/28,1140,
+07DA001,1,2013/07/29,1190,
+07DA001,1,2013/07/30,1220,
+07DA001,1,2013/07/31,1260,
+07DA001,1,2013/08/01,1320,
+07DA001,1,2013/08/02,1330,
+07DA001,1,2013/08/03,1280,
+07DA001,1,2013/08/04,1180,
+07DA001,1,2013/08/05,1100,
+07DA001,1,2013/08/06,1040,
+07DA001,1,2013/08/07,995,
+07DA001,1,2013/08/08,969,
+07DA001,1,2013/08/09,957,
+07DA001,1,2013/08/10,965,
+07DA001,1,2013/08/11,965,
+07DA001,1,2013/08/12,944,
+07DA001,1,2013/08/13,937,
+07DA001,1,2013/08/14,930,
+07DA001,1,2013/08/15,928,
+07DA001,1,2013/08/16,936,
+07DA001,1,2013/08/17,973,
+07DA001,1,2013/08/18,993,
+07DA001,1,2013/08/19,1010,
+07DA001,1,2013/08/20,994,
+07DA001,1,2013/08/21,970,
+07DA001,1,2013/08/22,940,
+07DA001,1,2013/08/23,922,
+07DA001,1,2013/08/24,905,
+07DA001,1,2013/08/25,886,
+07DA001,1,2013/08/26,866,
+07DA001,1,2013/08/27,819,
+07DA001,1,2013/08/28,764,
+07DA001,1,2013/08/29,729,
+07DA001,1,2013/08/30,712,
+07DA001,1,2013/08/31,703,
+07DA001,1,2013/09/01,707,
+07DA001,1,2013/09/02,715,
+07DA001,1,2013/09/03,731,
+07DA001,1,2013/09/04,729,
+07DA001,1,2013/09/05,725,
+07DA001,1,2013/09/06,729,
+07DA001,1,2013/09/07,700,
+07DA001,1,2013/09/08,667,
+07DA001,1,2013/09/09,649,
+07DA001,1,2013/09/10,640,
+07DA001,1,2013/09/11,632,
+07DA001,1,2013/09/12,631,
+07DA001,1,2013/09/13,638,
+07DA001,1,2013/09/14,632,
+07DA001,1,2013/09/15,616,
+07DA001,1,2013/09/16,614,
+07DA001,1,2013/09/17,596,
+07DA001,1,2013/09/18,570,
+07DA001,1,2013/09/19,555,
+07DA001,1,2013/09/20,559,
+07DA001,1,2013/09/21,564,
+07DA001,1,2013/09/22,562,
+07DA001,1,2013/09/23,555,
+07DA001,1,2013/09/24,550,
+07DA001,1,2013/09/25,529,
+07DA001,1,2013/09/26,504,
+07DA001,1,2013/09/27,481,
+07DA001,1,2013/09/28,464,
+07DA001,1,2013/09/29,454,
+07DA001,1,2013/09/30,466,
+07DA001,1,2013/10/01,472,
+07DA001,1,2013/10/02,475,
+07DA001,1,2013/10/03,473,
+07DA001,1,2013/10/04,467,
+07DA001,1,2013/10/05,466,
+07DA001,1,2013/10/06,461,
+07DA001,1,2013/10/07,459,
+07DA001,1,2013/10/08,465,
+07DA001,1,2013/10/09,460,
+07DA001,1,2013/10/10,459,
+07DA001,1,2013/10/11,451,
+07DA001,1,2013/10/12,444,
+07DA001,1,2013/10/13,438,
+07DA001,1,2013/10/14,430,
+07DA001,1,2013/10/15,434,
+07DA001,1,2013/10/16,433,
+07DA001,1,2013/10/17,427,
+07DA001,1,2013/10/18,416,
+07DA001,1,2013/10/19,412,
+07DA001,1,2013/10/20,407,
+07DA001,1,2013/10/21,402,
+07DA001,1,2013/10/22,398,
+07DA001,1,2013/10/23,393,
+07DA001,1,2013/10/24,391,
+07DA001,1,2013/10/25,390,
+07DA001,1,2013/10/26,385,
+07DA001,1,2013/10/27,379,
+07DA001,1,2013/10/28,367,B
+07DA001,1,2013/10/29,349,B
+07DA001,1,2013/10/30,351,B
+07DA001,1,2013/10/31,344,B
+07DA001,1,2013/11/01,354,B
+07DA001,1,2013/11/02,350,B
+07DA001,1,2013/11/03,330,B
+07DA001,1,2013/11/04,305,B
+07DA001,1,2013/11/05,285,B
+07DA001,1,2013/11/06,254,B
+07DA001,1,2013/11/07,249,B
+07DA001,1,2013/11/08,271,B
+07DA001,1,2013/11/09,299,B
+07DA001,1,2013/11/10,346,B
+07DA001,1,2013/11/11,319,B
+07DA001,1,2013/11/12,322,B
+07DA001,1,2013/11/13,335,B
+07DA001,1,2013/11/14,332,B
+07DA001,1,2013/11/15,316,B
+07DA001,1,2013/11/16,298,B
+07DA001,1,2013/11/17,251,B
+07DA001,1,2013/11/18,210,B
+07DA001,1,2013/11/19,189,B
+07DA001,1,2013/11/20,172,B
+07DA001,1,2013/11/21,157,B
+07DA001,1,2013/11/22,144,B
+07DA001,1,2013/11/23,149,B
+07DA001,1,2013/11/24,171,B
+07DA001,1,2013/11/25,195,B
+07DA001,1,2013/11/26,214,B
+07DA001,1,2013/11/27,222,B
+07DA001,1,2013/11/28,210,B
+07DA001,1,2013/11/29,217,B
+07DA001,1,2013/11/30,217,B
+07DA001,1,2013/12/01,216,B
+07DA001,1,2013/12/02,215,B
+07DA001,1,2013/12/03,212,B
+07DA001,1,2013/12/04,213,B
+07DA001,1,2013/12/05,206,B
+07DA001,1,2013/12/06,204,B
+07DA001,1,2013/12/07,211,B
+07DA001,1,2013/12/08,199,B
+07DA001,1,2013/12/09,181,B
+07DA001,1,2013/12/10,176,B
+07DA001,1,2013/12/11,168,B
+07DA001,1,2013/12/12,154,B
+07DA001,1,2013/12/13,155,B
+07DA001,1,2013/12/14,160,B
+07DA001,1,2013/12/15,153,B
+07DA001,1,2013/12/16,149,B
+07DA001,1,2013/12/17,147,B
+07DA001,1,2013/12/18,146,B
+07DA001,1,2013/12/19,146,B
+07DA001,1,2013/12/20,148,B
+07DA001,1,2013/12/21,151,B
+07DA001,1,2013/12/22,158,B
+07DA001,1,2013/12/23,167,B
+07DA001,1,2013/12/24,175,B
+07DA001,1,2013/12/25,182,B
+07DA001,1,2013/12/26,184,B
+07DA001,1,2013/12/27,183,B
+07DA001,1,2013/12/28,178,B
+07DA001,1,2013/12/29,173,B
+07DA001,1,2013/12/30,169,B
+07DA001,1,2013/12/31,170,B
+07DA001,1,2014/01/01,177,B
+07DA001,1,2014/01/02,188,B
+07DA001,1,2014/01/03,198,B
+07DA001,1,2014/01/04,204,B
+07DA001,1,2014/01/05,208,B
+07DA001,1,2014/01/06,209,B
+07DA001,1,2014/01/07,208,B
+07DA001,1,2014/01/08,206,B
+07DA001,1,2014/01/09,204,B
+07DA001,1,2014/01/10,201,B
+07DA001,1,2014/01/11,199,B
+07DA001,1,2014/01/12,196,B
+07DA001,1,2014/01/13,194,B
+07DA001,1,2014/01/14,192,B
+07DA001,1,2014/01/15,192,B
+07DA001,1,2014/01/16,191,B
+07DA001,1,2014/01/17,192,B
+07DA001,1,2014/01/18,194,B
+07DA001,1,2014/01/19,197,B
+07DA001,1,2014/01/20,201,B
+07DA001,1,2014/01/21,205,B
+07DA001,1,2014/01/22,209,B
+07DA001,1,2014/01/23,212,B
+07DA001,1,2014/01/24,215,B
+07DA001,1,2014/01/25,217,B
+07DA001,1,2014/01/26,218,B
+07DA001,1,2014/01/27,217,B
+07DA001,1,2014/01/28,217,B
+07DA001,1,2014/01/29,216,B
+07DA001,1,2014/01/30,215,B
+07DA001,1,2014/01/31,214,B
+07DA001,1,2014/02/01,212,B
+07DA001,1,2014/02/02,210,B
+07DA001,1,2014/02/03,207,B
+07DA001,1,2014/02/04,204,B
+07DA001,1,2014/02/05,200,B
+07DA001,1,2014/02/06,197,B
+07DA001,1,2014/02/07,193,B
+07DA001,1,2014/02/08,190,B
+07DA001,1,2014/02/09,186,B
+07DA001,1,2014/02/10,180,B
+07DA001,1,2014/02/11,175,B
+07DA001,1,2014/02/12,172,B
+07DA001,1,2014/02/13,169,B
+07DA001,1,2014/02/14,167,B
+07DA001,1,2014/02/15,164,B
+07DA001,1,2014/02/16,160,B
+07DA001,1,2014/02/17,158,B
+07DA001,1,2014/02/18,157,B
+07DA001,1,2014/02/19,158,B
+07DA001,1,2014/02/20,161,B
+07DA001,1,2014/02/21,163,B
+07DA001,1,2014/02/22,164,B
+07DA001,1,2014/02/23,166,B
+07DA001,1,2014/02/24,169,B
+07DA001,1,2014/02/25,172,B
+07DA001,1,2014/02/26,174,B
+07DA001,1,2014/02/27,176,B
+07DA001,1,2014/02/28,175,B
+07DA001,1,2014/03/01,173,B
+07DA001,1,2014/03/02,171,B
+07DA001,1,2014/03/03,170,B
+07DA001,1,2014/03/04,169,B
+07DA001,1,2014/03/05,167,B
+07DA001,1,2014/03/06,165,B
+07DA001,1,2014/03/07,161,B
+07DA001,1,2014/03/08,158,B
+07DA001,1,2014/03/09,158,B
+07DA001,1,2014/03/10,158,B
+07DA001,1,2014/03/11,158,B
+07DA001,1,2014/03/12,158,B
+07DA001,1,2014/03/13,160,B
+07DA001,1,2014/03/14,160,B
+07DA001,1,2014/03/15,164,B
+07DA001,1,2014/03/16,171,B
+07DA001,1,2014/03/17,179,B
+07DA001,1,2014/03/18,182,B
+07DA001,1,2014/03/19,185,B
+07DA001,1,2014/03/20,191,B
+07DA001,1,2014/03/21,194,B
+07DA001,1,2014/03/22,197,B
+07DA001,1,2014/03/23,200,B
+07DA001,1,2014/03/24,203,B
+07DA001,1,2014/03/25,206,B
+07DA001,1,2014/03/26,208,B
+07DA001,1,2014/03/27,210,B
+07DA001,1,2014/03/28,211,B
+07DA001,1,2014/03/29,211,B
+07DA001,1,2014/03/30,210,B
+07DA001,1,2014/03/31,208,B
+07DA001,1,2014/04/01,206,B
+07DA001,1,2014/04/02,204,B
+07DA001,1,2014/04/03,201,B
+07DA001,1,2014/04/04,202,B
+07DA001,1,2014/04/05,200,B
+07DA001,1,2014/04/06,198,B
+07DA001,1,2014/04/07,196,B
+07DA001,1,2014/04/08,196,B
+07DA001,1,2014/04/09,196,B
+07DA001,1,2014/04/10,198,B
+07DA001,1,2014/04/11,209,B
+07DA001,1,2014/04/12,225,B
+07DA001,1,2014/04/13,233,B
+07DA001,1,2014/04/14,233,B
+07DA001,1,2014/04/15,229,B
+07DA001,1,2014/04/16,222,B
+07DA001,1,2014/04/17,217,B
+07DA001,1,2014/04/18,217,B
+07DA001,1,2014/04/19,226,B
+07DA001,1,2014/04/20,247,B
+07DA001,1,2014/04/21,275,B
+07DA001,1,2014/04/22,336,B
+07DA001,1,2014/04/23,506,B
+07DA001,1,2014/04/24,637,B
+07DA001,1,2014/04/25,737,B
+07DA001,1,2014/04/26,1020,B
+07DA001,1,2014/04/27,1330,B
+07DA001,1,2014/04/28,1420,B
+07DA001,1,2014/04/29,1350,B
+07DA001,1,2014/04/30,1390,B
+07DA001,1,2014/05/01,1460,B
+07DA001,1,2014/05/02,1540,B
+07DA001,1,2014/05/03,1600,B
+07DA001,1,2014/05/04,1630,E
+07DA001,1,2014/05/05,1630,E
+07DA001,1,2014/05/06,1600,E
+07DA001,1,2014/05/07,1540,E
+07DA001,1,2014/05/08,1460,E
+07DA001,1,2014/05/09,1370,E
+07DA001,1,2014/05/10,1280,E
+07DA001,1,2014/05/11,1190,E
+07DA001,1,2014/05/12,1110,E
+07DA001,1,2014/05/13,1060,
+07DA001,1,2014/05/14,1030,
+07DA001,1,2014/05/15,1020,
+07DA001,1,2014/05/16,1020,
+07DA001,1,2014/05/17,1020,
+07DA001,1,2014/05/18,1020,
+07DA001,1,2014/05/19,1020,
+07DA001,1,2014/05/20,1050,
+07DA001,1,2014/05/21,1070,
+07DA001,1,2014/05/22,1080,
+07DA001,1,2014/05/23,1100,
+07DA001,1,2014/05/24,1130,
+07DA001,1,2014/05/25,1180,
+07DA001,1,2014/05/26,1190,
+07DA001,1,2014/05/27,1220,
+07DA001,1,2014/05/28,1270,
+07DA001,1,2014/05/29,1470,
+07DA001,1,2014/05/30,1700,
+07DA001,1,2014/05/31,1770,
+07DA001,1,2014/06/01,1820,
+07DA001,1,2014/06/02,1880,
+07DA001,1,2014/06/03,1920,
+07DA001,1,2014/06/04,1880,
+07DA001,1,2014/06/05,1850,
+07DA001,1,2014/06/06,1820,
+07DA001,1,2014/06/07,1780,
+07DA001,1,2014/06/08,1780,
+07DA001,1,2014/06/09,1780,
+07DA001,1,2014/06/10,1800,
+07DA001,1,2014/06/11,1750,
+07DA001,1,2014/06/12,1670,
+07DA001,1,2014/06/13,1590,
+07DA001,1,2014/06/14,1540,
+07DA001,1,2014/06/15,1560,
+07DA001,1,2014/06/16,1500,
+07DA001,1,2014/06/17,1400,
+07DA001,1,2014/06/18,1340,
+07DA001,1,2014/06/19,1320,
+07DA001,1,2014/06/20,1360,
+07DA001,1,2014/06/21,1460,
+07DA001,1,2014/06/22,1610,
+07DA001,1,2014/06/23,1590,
+07DA001,1,2014/06/24,1550,
+07DA001,1,2014/06/25,1540,
+07DA001,1,2014/06/26,1620,
+07DA001,1,2014/06/27,1670,
+07DA001,1,2014/06/28,1620,
+07DA001,1,2014/06/29,1590,
+07DA001,1,2014/06/30,1620,
+07DA001,1,2014/07/01,1620,
+07DA001,1,2014/07/02,1530,
+07DA001,1,2014/07/03,1440,
+07DA001,1,2014/07/04,1400,
+07DA001,1,2014/07/05,1370,
+07DA001,1,2014/07/06,1310,
+07DA001,1,2014/07/07,1240,
+07DA001,1,2014/07/08,1200,
+07DA001,1,2014/07/09,1210,
+07DA001,1,2014/07/10,1190,
+07DA001,1,2014/07/11,1110,
+07DA001,1,2014/07/12,1050,
+07DA001,1,2014/07/13,1010,
+07DA001,1,2014/07/14,966,
+07DA001,1,2014/07/15,937,
+07DA001,1,2014/07/16,921,
+07DA001,1,2014/07/17,877,
+07DA001,1,2014/07/18,836,
+07DA001,1,2014/07/19,821,
+07DA001,1,2014/07/20,819,
+07DA001,1,2014/07/21,842,
+07DA001,1,2014/07/22,854,
+07DA001,1,2014/07/23,854,
+07DA001,1,2014/07/24,846,
+07DA001,1,2014/07/25,821,
+07DA001,1,2014/07/26,872,
+07DA001,1,2014/07/27,853,
+07DA001,1,2014/07/28,794,
+07DA001,1,2014/07/29,765,
+07DA001,1,2014/07/30,784,
+07DA001,1,2014/07/31,866,
+07DA001,1,2014/08/01,846,
+07DA001,1,2014/08/02,788,
+07DA001,1,2014/08/03,752,
+07DA001,1,2014/08/04,725,
+07DA001,1,2014/08/05,719,
+07DA001,1,2014/08/06,714,
+07DA001,1,2014/08/07,703,
+07DA001,1,2014/08/08,687,
+07DA001,1,2014/08/09,692,
+07DA001,1,2014/08/10,687,
+07DA001,1,2014/08/11,672,
+07DA001,1,2014/08/12,656,
+07DA001,1,2014/08/13,664,
+07DA001,1,2014/08/14,660,
+07DA001,1,2014/08/15,635,
+07DA001,1,2014/08/16,602,
+07DA001,1,2014/08/17,573,
+07DA001,1,2014/08/18,554,
+07DA001,1,2014/08/19,557,
+07DA001,1,2014/08/20,570,
+07DA001,1,2014/08/21,566,
+07DA001,1,2014/08/22,572,
+07DA001,1,2014/08/23,610,
+07DA001,1,2014/08/24,627,
+07DA001,1,2014/08/25,616,
+07DA001,1,2014/08/26,600,
+07DA001,1,2014/08/27,573,
+07DA001,1,2014/08/28,536,
+07DA001,1,2014/08/29,508,
+07DA001,1,2014/08/30,497,
+07DA001,1,2014/08/31,484,
+07DA001,1,2014/09/01,472,
+07DA001,1,2014/09/02,461,
+07DA001,1,2014/09/03,458,
+07DA001,1,2014/09/04,497,
+07DA001,1,2014/09/05,508,
+07DA001,1,2014/09/06,496,
+07DA001,1,2014/09/07,494,
+07DA001,1,2014/09/08,472,
+07DA001,1,2014/09/09,449,
+07DA001,1,2014/09/10,446,
+07DA001,1,2014/09/11,437,
+07DA001,1,2014/09/12,428,
+07DA001,1,2014/09/13,420,
+07DA001,1,2014/09/14,417,
+07DA001,1,2014/09/15,423,
+07DA001,1,2014/09/16,438,
+07DA001,1,2014/09/17,432,
+07DA001,1,2014/09/18,423,
+07DA001,1,2014/09/19,414,
+07DA001,1,2014/09/20,409,
+07DA001,1,2014/09/21,400,
+07DA001,1,2014/09/22,395,
+07DA001,1,2014/09/23,394,
+07DA001,1,2014/09/24,392,
+07DA001,1,2014/09/25,388,
+07DA001,1,2014/09/26,411,
+07DA001,1,2014/09/27,465,
+07DA001,1,2014/09/28,474,
+07DA001,1,2014/09/29,460,
+07DA001,1,2014/09/30,460,
+07DA001,1,2014/10/01,481,
+07DA001,1,2014/10/02,535,
+07DA001,1,2014/10/03,573,
+07DA001,1,2014/10/04,572,
+07DA001,1,2014/10/05,542,
+07DA001,1,2014/10/06,517,
+07DA001,1,2014/10/07,491,
+07DA001,1,2014/10/08,473,
+07DA001,1,2014/10/09,462,
+07DA001,1,2014/10/10,446,
+07DA001,1,2014/10/11,430,
+07DA001,1,2014/10/12,417,
+07DA001,1,2014/10/13,411,
+07DA001,1,2014/10/14,407,
+07DA001,1,2014/10/15,409,
+07DA001,1,2014/10/16,402,
+07DA001,1,2014/10/17,393,
+07DA001,1,2014/10/18,384,
+07DA001,1,2014/10/19,379,
+07DA001,1,2014/10/20,384,
+07DA001,1,2014/10/21,375,
+07DA001,1,2014/10/22,363,
+07DA001,1,2014/10/23,364,
+07DA001,1,2014/10/24,377,
+07DA001,1,2014/10/25,369,
+07DA001,1,2014/10/26,367,
+07DA001,1,2014/10/27,364,
+07DA001,1,2014/10/28,361,
+07DA001,1,2014/10/29,364,
+07DA001,1,2014/10/30,365,
+07DA001,1,2014/10/31,364,
+07DA001,1,2014/11/01,366,
+07DA001,1,2014/11/02,359,
+07DA001,1,2014/11/03,356,
+07DA001,1,2014/11/04,353,
+07DA001,1,2014/11/05,350,
+07DA001,1,2014/11/06,349,
+07DA001,1,2014/11/07,347,B
+07DA001,1,2014/11/08,303,B
+07DA001,1,2014/11/09,259,B
+07DA001,1,2014/11/10,248,B
+07DA001,1,2014/11/11,252,B
+07DA001,1,2014/11/12,252,B
+07DA001,1,2014/11/13,244,B
+07DA001,1,2014/11/14,234,B
+07DA001,1,2014/11/15,227,B
+07DA001,1,2014/11/16,222,B
+07DA001,1,2014/11/17,217,B
+07DA001,1,2014/11/18,212,B
+07DA001,1,2014/11/19,207,B
+07DA001,1,2014/11/20,205,B
+07DA001,1,2014/11/21,203,B
+07DA001,1,2014/11/22,201,B
+07DA001,1,2014/11/23,202,B
+07DA001,1,2014/11/24,207,B
+07DA001,1,2014/11/25,213,B
+07DA001,1,2014/11/26,219,B
+07DA001,1,2014/11/27,224,B
+07DA001,1,2014/11/28,228,B
+07DA001,1,2014/11/29,230,B
+07DA001,1,2014/11/30,231,B
+07DA001,1,2014/12/01,230,B
+07DA001,1,2014/12/02,226,B
+07DA001,1,2014/12/03,219,B
+07DA001,1,2014/12/04,211,B
+07DA001,1,2014/12/05,203,B
+07DA001,1,2014/12/06,195,B
+07DA001,1,2014/12/07,188,B
+07DA001,1,2014/12/08,181,B
+07DA001,1,2014/12/09,177,B
+07DA001,1,2014/12/10,172,B
+07DA001,1,2014/12/11,168,B
+07DA001,1,2014/12/12,165,B
+07DA001,1,2014/12/13,157,B
+07DA001,1,2014/12/14,161,B
+07DA001,1,2014/12/15,169,B
+07DA001,1,2014/12/16,171,B
+07DA001,1,2014/12/17,176,B
+07DA001,1,2014/12/18,179,B
+07DA001,1,2014/12/19,182,B
+07DA001,1,2014/12/20,183,B
+07DA001,1,2014/12/21,184,B
+07DA001,1,2014/12/22,184,B
+07DA001,1,2014/12/23,183,B
+07DA001,1,2014/12/24,181,B
+07DA001,1,2014/12/25,177,B
+07DA001,1,2014/12/26,171,B
+07DA001,1,2014/12/27,165,B
+07DA001,1,2014/12/28,158,B
+07DA001,1,2014/12/29,147,B
+07DA001,1,2014/12/30,142,B
+07DA001,1,2014/12/31,147,B
+07DA001,1,2015/01/01,156,B
+07DA001,1,2015/01/02,157,B
+07DA001,1,2015/01/03,155,B
+07DA001,1,2015/01/04,151,B
+07DA001,1,2015/01/05,145,B
+07DA001,1,2015/01/06,141,B
+07DA001,1,2015/01/07,136,B
+07DA001,1,2015/01/08,129,B
+07DA001,1,2015/01/09,125,B
+07DA001,1,2015/01/10,122,B
+07DA001,1,2015/01/11,116,B
+07DA001,1,2015/01/12,110,B
+07DA001,1,2015/01/13,106,B
+07DA001,1,2015/01/14,103,B
+07DA001,1,2015/01/15,107,B
+07DA001,1,2015/01/16,111,B
+07DA001,1,2015/01/17,112,B
+07DA001,1,2015/01/18,114,B
+07DA001,1,2015/01/19,116,B
+07DA001,1,2015/01/20,120,B
+07DA001,1,2015/01/21,122,B
+07DA001,1,2015/01/22,125,B
+07DA001,1,2015/01/23,128,B
+07DA001,1,2015/01/24,135,B
+07DA001,1,2015/01/25,138,B
+07DA001,1,2015/01/26,140,B
+07DA001,1,2015/01/27,146,B
+07DA001,1,2015/01/28,151,B
+07DA001,1,2015/01/29,152,B
+07DA001,1,2015/01/30,154,B
+07DA001,1,2015/01/31,157,B
+07DA001,1,2015/02/01,160,B
+07DA001,1,2015/02/02,162,B
+07DA001,1,2015/02/03,162,B
+07DA001,1,2015/02/04,161,B
+07DA001,1,2015/02/05,158,B
+07DA001,1,2015/02/06,154,B
+07DA001,1,2015/02/07,148,B
+07DA001,1,2015/02/08,138,B
+07DA001,1,2015/02/09,128,B
+07DA001,1,2015/02/10,123,B
+07DA001,1,2015/02/11,126,B
+07DA001,1,2015/02/12,129,B
+07DA001,1,2015/02/13,133,B
+07DA001,1,2015/02/14,136,B
+07DA001,1,2015/02/15,136,B
+07DA001,1,2015/02/16,138,B
+07DA001,1,2015/02/17,138,B
+07DA001,1,2015/02/18,135,B
+07DA001,1,2015/02/19,137,B
+07DA001,1,2015/02/20,139,B
+07DA001,1,2015/02/21,142,B
+07DA001,1,2015/02/22,145,B
+07DA001,1,2015/02/23,147,B
+07DA001,1,2015/02/24,149,B
+07DA001,1,2015/02/25,150,B
+07DA001,1,2015/02/26,150,B
+07DA001,1,2015/02/27,150,B
+07DA001,1,2015/02/28,149,B
+07DA001,1,2015/03/01,148,B
+07DA001,1,2015/03/02,147,B
+07DA001,1,2015/03/03,146,B
+07DA001,1,2015/03/04,144,B
+07DA001,1,2015/03/05,143,B
+07DA001,1,2015/03/06,144,B
+07DA001,1,2015/03/07,145,B
+07DA001,1,2015/03/08,145,B
+07DA001,1,2015/03/09,142,B
+07DA001,1,2015/03/10,138,B
+07DA001,1,2015/03/11,135,B
+07DA001,1,2015/03/12,135,B
+07DA001,1,2015/03/13,142,B
+07DA001,1,2015/03/14,144,B
+07DA001,1,2015/03/15,150,B
+07DA001,1,2015/03/16,150,B
+07DA001,1,2015/03/17,154,B
+07DA001,1,2015/03/18,171,B
+07DA001,1,2015/03/19,191,B
+07DA001,1,2015/03/20,190,B
+07DA001,1,2015/03/21,197,B
+07DA001,1,2015/03/22,217,B
+07DA001,1,2015/03/23,241,B
+07DA001,1,2015/03/24,254,B
+07DA001,1,2015/03/25,267,B
+07DA001,1,2015/03/26,270,B
+07DA001,1,2015/03/27,271,B
+07DA001,1,2015/03/28,269,B
+07DA001,1,2015/03/29,259,B
+07DA001,1,2015/03/30,260,B
+07DA001,1,2015/03/31,273,B
+07DA001,1,2015/04/01,299,B
+07DA001,1,2015/04/02,313,B
+07DA001,1,2015/04/03,320,B
+07DA001,1,2015/04/04,321,B
+07DA001,1,2015/04/05,361,B
+07DA001,1,2015/04/06,423,B
+07DA001,1,2015/04/07,719,B
+07DA001,1,2015/04/08,923,B
+07DA001,1,2015/04/09,839,B
+07DA001,1,2015/04/10,745,B
+07DA001,1,2015/04/11,731,B
+07DA001,1,2015/04/12,691,B
+07DA001,1,2015/04/13,672,B
+07DA001,1,2015/04/14,645,B
+07DA001,1,2015/04/15,663,B
+07DA001,1,2015/04/16,681,B
+07DA001,1,2015/04/17,679,B
+07DA001,1,2015/04/18,663,B
+07DA001,1,2015/04/19,644,B
+07DA001,1,2015/04/20,635,B
+07DA001,1,2015/04/21,637,B
+07DA001,1,2015/04/22,644,B
+07DA001,1,2015/04/23,653,B
+07DA001,1,2015/04/24,657,B
+07DA001,1,2015/04/25,659,B
+07DA001,1,2015/04/26,669,B
+07DA001,1,2015/04/27,722,
+07DA001,1,2015/04/28,774,
+07DA001,1,2015/04/29,785,
+07DA001,1,2015/04/30,766,B
+07DA001,1,2015/05/01,764,B
+07DA001,1,2015/05/02,751,
+07DA001,1,2015/05/03,747,
+07DA001,1,2015/05/04,741,
+07DA001,1,2015/05/05,731,
+07DA001,1,2015/05/06,742,
+07DA001,1,2015/05/07,735,
+07DA001,1,2015/05/08,712,
+07DA001,1,2015/05/09,691,
+07DA001,1,2015/05/10,674,
+07DA001,1,2015/05/11,661,
+07DA001,1,2015/05/12,652,
+07DA001,1,2015/05/13,652,
+07DA001,1,2015/05/14,638,
+07DA001,1,2015/05/15,621,
+07DA001,1,2015/05/16,611,
+07DA001,1,2015/05/17,587,
+07DA001,1,2015/05/18,585,
+07DA001,1,2015/05/19,593,
+07DA001,1,2015/05/20,612,
+07DA001,1,2015/05/21,632,
+07DA001,1,2015/05/22,642,
+07DA001,1,2015/05/23,652,
+07DA001,1,2015/05/24,656,
+07DA001,1,2015/05/25,642,
+07DA001,1,2015/05/26,671,
+07DA001,1,2015/05/27,746,
+07DA001,1,2015/05/28,804,
+07DA001,1,2015/05/29,854,
+07DA001,1,2015/05/30,887,
+07DA001,1,2015/05/31,889,
+07DA001,1,2015/06/01,901,
+07DA001,1,2015/06/02,934,
+07DA001,1,2015/06/03,989,
+07DA001,1,2015/06/04,1060,
+07DA001,1,2015/06/05,1090,
+07DA001,1,2015/06/06,1080,
+07DA001,1,2015/06/07,1010,
+07DA001,1,2015/06/08,966,
+07DA001,1,2015/06/09,950,
+07DA001,1,2015/06/10,934,
+07DA001,1,2015/06/11,912,
+07DA001,1,2015/06/12,907,
+07DA001,1,2015/06/13,926,
+07DA001,1,2015/06/14,956,
+07DA001,1,2015/06/15,955,
+07DA001,1,2015/06/16,913,
+07DA001,1,2015/06/17,852,
+07DA001,1,2015/06/18,820,
+07DA001,1,2015/06/19,782,
+07DA001,1,2015/06/20,719,
+07DA001,1,2015/06/21,677,
+07DA001,1,2015/06/22,650,
+07DA001,1,2015/06/23,651,
+07DA001,1,2015/06/24,688,
+07DA001,1,2015/06/25,715,
+07DA001,1,2015/06/26,735,
+07DA001,1,2015/06/27,698,
+07DA001,1,2015/06/28,645,
+07DA001,1,2015/06/29,611,
+07DA001,1,2015/06/30,607,
+07DA001,1,2015/07/01,617,
+07DA001,1,2015/07/02,635,
+07DA001,1,2015/07/03,689,
+07DA001,1,2015/07/04,713,
+07DA001,1,2015/07/05,737,
+07DA001,1,2015/07/06,746,
+07DA001,1,2015/07/07,738,
+07DA001,1,2015/07/08,707,
+07DA001,1,2015/07/09,677,
+07DA001,1,2015/07/10,657,
+07DA001,1,2015/07/11,624,
+07DA001,1,2015/07/12,597,
+07DA001,1,2015/07/13,586,
+07DA001,1,2015/07/14,561,
+07DA001,1,2015/07/15,559,
+07DA001,1,2015/07/16,574,
+07DA001,1,2015/07/17,620,
+07DA001,1,2015/07/18,639,
+07DA001,1,2015/07/19,658,
+07DA001,1,2015/07/20,641,
+07DA001,1,2015/07/21,624,
+07DA001,1,2015/07/22,620,
+07DA001,1,2015/07/23,636,
+07DA001,1,2015/07/24,636,
+07DA001,1,2015/07/25,647,
+07DA001,1,2015/07/26,645,
+07DA001,1,2015/07/27,667,
+07DA001,1,2015/07/28,687,
+07DA001,1,2015/07/29,645,
+07DA001,1,2015/07/30,596,
+07DA001,1,2015/07/31,556,
+07DA001,1,2015/08/01,548,
+07DA001,1,2015/08/02,541,
+07DA001,1,2015/08/03,515,
+07DA001,1,2015/08/04,491,
+07DA001,1,2015/08/05,498,
+07DA001,1,2015/08/06,521,
+07DA001,1,2015/08/07,545,
+07DA001,1,2015/08/08,560,
+07DA001,1,2015/08/09,578,
+07DA001,1,2015/08/10,579,
+07DA001,1,2015/08/11,590,
+07DA001,1,2015/08/12,589,
+07DA001,1,2015/08/13,572,
+07DA001,1,2015/08/14,549,
+07DA001,1,2015/08/15,520,
+07DA001,1,2015/08/16,505,
+07DA001,1,2015/08/17,497,
+07DA001,1,2015/08/18,488,
+07DA001,1,2015/08/19,475,
+07DA001,1,2015/08/20,482,
+07DA001,1,2015/08/21,498,
+07DA001,1,2015/08/22,526,
+07DA001,1,2015/08/23,507,
+07DA001,1,2015/08/24,477,
+07DA001,1,2015/08/25,450,
+07DA001,1,2015/08/26,435,
+07DA001,1,2015/08/27,431,
+07DA001,1,2015/08/28,436,
+07DA001,1,2015/08/29,434,
+07DA001,1,2015/08/30,415,
+07DA001,1,2015/08/31,399,
+07DA001,1,2015/09/01,400,
+07DA001,1,2015/09/02,393,
+07DA001,1,2015/09/03,388,
+07DA001,1,2015/09/04,389,
+07DA001,1,2015/09/05,398,
+07DA001,1,2015/09/06,422,
+07DA001,1,2015/09/07,445,
+07DA001,1,2015/09/08,464,
+07DA001,1,2015/09/09,495,
+07DA001,1,2015/09/10,483,
+07DA001,1,2015/09/11,449,
+07DA001,1,2015/09/12,419,
+07DA001,1,2015/09/13,397,
+07DA001,1,2015/09/14,383,
+07DA001,1,2015/09/15,371,
+07DA001,1,2015/09/16,361,
+07DA001,1,2015/09/17,359,
+07DA001,1,2015/09/18,365,
+07DA001,1,2015/09/19,378,
+07DA001,1,2015/09/20,415,
+07DA001,1,2015/09/21,446,
+07DA001,1,2015/09/22,430,
+07DA001,1,2015/09/23,411,
+07DA001,1,2015/09/24,392,
+07DA001,1,2015/09/25,377,
+07DA001,1,2015/09/26,363,
+07DA001,1,2015/09/27,385,
+07DA001,1,2015/09/28,578,
+07DA001,1,2015/09/29,547,
+07DA001,1,2015/09/30,493,
+07DA001,1,2015/10/01,455,
+07DA001,1,2015/10/02,436,
+07DA001,1,2015/10/03,445,
+07DA001,1,2015/10/04,436,
+07DA001,1,2015/10/05,414,
+07DA001,1,2015/10/06,388,
+07DA001,1,2015/10/07,375,
+07DA001,1,2015/10/08,362,
+07DA001,1,2015/10/09,352,
+07DA001,1,2015/10/10,356,
+07DA001,1,2015/10/11,357,
+07DA001,1,2015/10/12,347,
+07DA001,1,2015/10/13,338,
+07DA001,1,2015/10/14,328,
+07DA001,1,2015/10/15,319,
+07DA001,1,2015/10/16,318,
+07DA001,1,2015/10/17,312,
+07DA001,1,2015/10/18,326,
+07DA001,1,2015/10/19,376,
+07DA001,1,2015/10/20,370,
+07DA001,1,2015/10/21,344,
+07DA001,1,2015/10/22,323,
+07DA001,1,2015/10/23,312,
+07DA001,1,2015/10/24,301,
+07DA001,1,2015/10/25,295,
+07DA001,1,2015/10/26,285,
+07DA001,1,2015/10/27,288,
+07DA001,1,2015/10/28,289,
+07DA001,1,2015/10/29,286,
+07DA001,1,2015/10/30,278,
+07DA001,1,2015/10/31,272,
+07DA001,1,2015/11/01,274,
+07DA001,1,2015/11/02,263,
+07DA001,1,2015/11/03,252,
+07DA001,1,2015/11/04,251,
+07DA001,1,2015/11/05,251,
+07DA001,1,2015/11/06,244,
+07DA001,1,2015/11/07,239,B
+07DA001,1,2015/11/08,222,B
+07DA001,1,2015/11/09,206,B
+07DA001,1,2015/11/10,198,B
+07DA001,1,2015/11/11,197,B
+07DA001,1,2015/11/12,194,B
+07DA001,1,2015/11/13,187,B
+07DA001,1,2015/11/14,179,B
+07DA001,1,2015/11/15,176,B
+07DA001,1,2015/11/16,178,B
+07DA001,1,2015/11/17,171,B
+07DA001,1,2015/11/18,160,B
+07DA001,1,2015/11/19,160,B
+07DA001,1,2015/11/20,168,B
+07DA001,1,2015/11/21,174,B
+07DA001,1,2015/11/22,171,B
+07DA001,1,2015/11/23,163,B
+07DA001,1,2015/11/24,156,B
+07DA001,1,2015/11/25,153,B
+07DA001,1,2015/11/26,152,B
+07DA001,1,2015/11/27,155,B
+07DA001,1,2015/11/28,159,B
+07DA001,1,2015/11/29,162,B
+07DA001,1,2015/11/30,160,B
+07DA001,1,2015/12/01,155,B
+07DA001,1,2015/12/02,155,B
+07DA001,1,2015/12/03,158,B
+07DA001,1,2015/12/04,158,B
+07DA001,1,2015/12/05,156,B
+07DA001,1,2015/12/06,154,B
+07DA001,1,2015/12/07,154,B
+07DA001,1,2015/12/08,154,B
+07DA001,1,2015/12/09,155,B
+07DA001,1,2015/12/10,156,B
+07DA001,1,2015/12/11,156,B
+07DA001,1,2015/12/12,156,B
+07DA001,1,2015/12/13,155,B
+07DA001,1,2015/12/14,155,B
+07DA001,1,2015/12/15,152,B
+07DA001,1,2015/12/16,151,B
+07DA001,1,2015/12/17,149,B
+07DA001,1,2015/12/18,145,B
+07DA001,1,2015/12/19,141,B
+07DA001,1,2015/12/20,135,B
+07DA001,1,2015/12/21,130,B
+07DA001,1,2015/12/22,126,B
+07DA001,1,2015/12/23,122,B
+07DA001,1,2015/12/24,119,B
+07DA001,1,2015/12/25,117,B
+07DA001,1,2015/12/26,115,B
+07DA001,1,2015/12/27,115,B
+07DA001,1,2015/12/28,115,B
+07DA001,1,2015/12/29,115,B
+07DA001,1,2015/12/30,115,B
+07DA001,1,2015/12/31,114,B
+07DA001,1,2016/01/01,114,B
+07DA001,1,2016/01/02,115,B
+07DA001,1,2016/01/03,121,B
+07DA001,1,2016/01/04,132,B
+07DA001,1,2016/01/05,134,B
+07DA001,1,2016/01/06,129,B
+07DA001,1,2016/01/07,122,B
+07DA001,1,2016/01/08,118,B
+07DA001,1,2016/01/09,117,B
+07DA001,1,2016/01/10,113,B
+07DA001,1,2016/01/11,109,B
+07DA001,1,2016/01/12,112,B
+07DA001,1,2016/01/13,112,B
+07DA001,1,2016/01/14,111,B
+07DA001,1,2016/01/15,107,B
+07DA001,1,2016/01/16,106,B
+07DA001,1,2016/01/17,105,B
+07DA001,1,2016/01/18,109,B
+07DA001,1,2016/01/19,113,B
+07DA001,1,2016/01/20,115,B
+07DA001,1,2016/01/21,116,B
+07DA001,1,2016/01/22,119,B
+07DA001,1,2016/01/23,121,B
+07DA001,1,2016/01/24,121,B
+07DA001,1,2016/01/25,121,B
+07DA001,1,2016/01/26,121,B
+07DA001,1,2016/01/27,120,B
+07DA001,1,2016/01/28,120,B
+07DA001,1,2016/01/29,121,B
+07DA001,1,2016/01/30,121,B
+07DA001,1,2016/01/31,124,B
+07DA001,1,2016/02/01,125,B
+07DA001,1,2016/02/02,126,B
+07DA001,1,2016/02/03,126,B
+07DA001,1,2016/02/04,126,B
+07DA001,1,2016/02/05,126,B
+07DA001,1,2016/02/06,128,B
+07DA001,1,2016/02/07,129,B
+07DA001,1,2016/02/08,128,B
+07DA001,1,2016/02/09,132,B
+07DA001,1,2016/02/10,134,B
+07DA001,1,2016/02/11,130,B
+07DA001,1,2016/02/12,126,B
+07DA001,1,2016/02/13,123,B
+07DA001,1,2016/02/14,124,B
+07DA001,1,2016/02/15,123,B
+07DA001,1,2016/02/16,119,B
+07DA001,1,2016/02/17,119,B
+07DA001,1,2016/02/18,124,B
+07DA001,1,2016/02/19,125,B
+07DA001,1,2016/02/20,124,B
+07DA001,1,2016/02/21,125,B
+07DA001,1,2016/02/22,125,B
+07DA001,1,2016/02/23,125,B
+07DA001,1,2016/02/24,127,B
+07DA001,1,2016/02/25,128,B
+07DA001,1,2016/02/26,129,B
+07DA001,1,2016/02/27,132,B
+07DA001,1,2016/02/28,133,B
+07DA001,1,2016/02/29,132,B
+07DA001,1,2016/03/01,132,B
+07DA001,1,2016/03/02,134,B
+07DA001,1,2016/03/03,134,B
+07DA001,1,2016/03/04,126,B
+07DA001,1,2016/03/05,130,B
+07DA001,1,2016/03/06,128,B
+07DA001,1,2016/03/07,128,B
+07DA001,1,2016/03/08,130,B
+07DA001,1,2016/03/09,134,B
+07DA001,1,2016/03/10,137,B
+07DA001,1,2016/03/11,138,B
+07DA001,1,2016/03/12,138,B
+07DA001,1,2016/03/13,138,B
+07DA001,1,2016/03/14,139,B
+07DA001,1,2016/03/15,141,B
+07DA001,1,2016/03/16,147,B
+07DA001,1,2016/03/17,151,B
+07DA001,1,2016/03/18,152,B
+07DA001,1,2016/03/19,151,B
+07DA001,1,2016/03/20,153,B
+07DA001,1,2016/03/21,153,B
+07DA001,1,2016/03/22,157,B
+07DA001,1,2016/03/23,161,B
+07DA001,1,2016/03/24,165,B
+07DA001,1,2016/03/25,167,B
+07DA001,1,2016/03/26,170,B
+07DA001,1,2016/03/27,175,B
+07DA001,1,2016/03/28,177,B
+07DA001,1,2016/03/29,180,B
+07DA001,1,2016/03/30,187,B
+07DA001,1,2016/03/31,191,B
+07DA001,1,2016/04/01,195,B
+07DA001,1,2016/04/02,203,B
+07DA001,1,2016/04/03,219,B
+07DA001,1,2016/04/04,253,B
+07DA001,1,2016/04/05,289,B
+07DA001,1,2016/04/06,314,B
+07DA001,1,2016/04/07,338,B
+07DA001,1,2016/04/08,363,B
+07DA001,1,2016/04/09,402,B
+07DA001,1,2016/04/10,423,B
+07DA001,1,2016/04/11,436,B
+07DA001,1,2016/04/12,438,B
+07DA001,1,2016/04/13,434,B
+07DA001,1,2016/04/14,426,B
+07DA001,1,2016/04/15,419,B
+07DA001,1,2016/04/16,415,B
+07DA001,1,2016/04/17,418,B
+07DA001,1,2016/04/18,430,B
+07DA001,1,2016/04/19,448,B
+07DA001,1,2016/04/20,466,B
+07DA001,1,2016/04/21,478,B
+07DA001,1,2016/04/22,481,B
+07DA001,1,2016/04/23,478,B
+07DA001,1,2016/04/24,474,B
+07DA001,1,2016/04/25,471,E
+07DA001,1,2016/04/26,474,A
+07DA001,1,2016/04/27,476,
+07DA001,1,2016/04/28,486,
+07DA001,1,2016/04/29,502,
+07DA001,1,2016/04/30,519,
+07DA001,1,2016/05/01,544,
+07DA001,1,2016/05/02,559,
+07DA001,1,2016/05/03,550,
+07DA001,1,2016/05/04,537,
+07DA001,1,2016/05/05,517,A
+07DA001,1,2016/05/06,494,E
+07DA001,1,2016/05/07,474,E
+07DA001,1,2016/05/08,471,E
+07DA001,1,2016/05/09,497,E
+07DA001,1,2016/05/10,534,E
+07DA001,1,2016/05/11,539,E
+07DA001,1,2016/05/12,506,E
+07DA001,1,2016/05/13,477,E
+07DA001,1,2016/05/14,493,E
+07DA001,1,2016/05/15,527,E
+07DA001,1,2016/05/16,531,E
+07DA001,1,2016/05/17,514,E
+07DA001,1,2016/05/18,492,A
+07DA001,1,2016/05/19,469,A
+07DA001,1,2016/05/20,442,
+07DA001,1,2016/05/21,419,
+07DA001,1,2016/05/22,411,
+07DA001,1,2016/05/23,410,
+07DA001,1,2016/05/24,478,
+07DA001,1,2016/05/25,729,
+07DA001,1,2016/05/26,901,
+07DA001,1,2016/05/27,1060,
+07DA001,1,2016/05/28,1180,
+07DA001,1,2016/05/29,1230,
+07DA001,1,2016/05/30,1220,
+07DA001,1,2016/05/31,1270,
+07DA001,1,2016/06/01,1400,
+07DA001,1,2016/06/02,1390,
+07DA001,1,2016/06/03,1290,
+07DA001,1,2016/06/04,1180,
+07DA001,1,2016/06/05,1080,
+07DA001,1,2016/06/06,995,
+07DA001,1,2016/06/07,933,
+07DA001,1,2016/06/08,893,
+07DA001,1,2016/06/09,924,
+07DA001,1,2016/06/10,983,
+07DA001,1,2016/06/11,1100,
+07DA001,1,2016/06/12,1250,
+07DA001,1,2016/06/13,1470,
+07DA001,1,2016/06/14,1710,
+07DA001,1,2016/06/15,1670,
+07DA001,1,2016/06/16,1570,
+07DA001,1,2016/06/17,1450,
+07DA001,1,2016/06/18,1350,
+07DA001,1,2016/06/19,1380,
+07DA001,1,2016/06/20,1510,
+07DA001,1,2016/06/21,1460,
+07DA001,1,2016/06/22,1350,
+07DA001,1,2016/06/23,1170,
+07DA001,1,2016/06/24,1040,
+07DA001,1,2016/06/25,968,
+07DA001,1,2016/06/26,914,
+07DA001,1,2016/06/27,907,
+07DA001,1,2016/06/28,907,
+07DA001,1,2016/06/29,909,
+07DA001,1,2016/06/30,914,
+07DA001,1,2016/07/01,907,
+07DA001,1,2016/07/02,867,
+07DA001,1,2016/07/03,854,
+07DA001,1,2016/07/04,867,
+07DA001,1,2016/07/05,940,
+07DA001,1,2016/07/06,1040,
+07DA001,1,2016/07/07,1110,
+07DA001,1,2016/07/08,1110,
+07DA001,1,2016/07/09,1090,
+07DA001,1,2016/07/10,1080,
+07DA001,1,2016/07/11,1010,
+07DA001,1,2016/07/12,933,
+07DA001,1,2016/07/13,889,
+07DA001,1,2016/07/14,872,
+07DA001,1,2016/07/15,878,
+07DA001,1,2016/07/16,893,
+07DA001,1,2016/07/17,918,
+07DA001,1,2016/07/18,972,
+07DA001,1,2016/07/19,1040,
+07DA001,1,2016/07/20,1140,
+07DA001,1,2016/07/21,1210,
+07DA001,1,2016/07/22,1150,
+07DA001,1,2016/07/23,1080,
+07DA001,1,2016/07/24,1030,
+07DA001,1,2016/07/25,993,
+07DA001,1,2016/07/26,934,
+07DA001,1,2016/07/27,884,
+07DA001,1,2016/07/28,841,
+07DA001,1,2016/07/29,795,
+07DA001,1,2016/07/30,758,
+07DA001,1,2016/07/31,769,
+07DA001,1,2016/08/01,764,
+07DA001,1,2016/08/02,742,
+07DA001,1,2016/08/03,736,
+07DA001,1,2016/08/04,738,
+07DA001,1,2016/08/05,747,
+07DA001,1,2016/08/06,758,
+07DA001,1,2016/08/07,737,
+07DA001,1,2016/08/08,710,
+07DA001,1,2016/08/09,716,
+07DA001,1,2016/08/10,729,
+07DA001,1,2016/08/11,706,
+07DA001,1,2016/08/12,749,
+07DA001,1,2016/08/13,798,
+07DA001,1,2016/08/14,817,
+07DA001,1,2016/08/15,835,
+07DA001,1,2016/08/16,836,
+07DA001,1,2016/08/17,795,
+07DA001,1,2016/08/18,748,
+07DA001,1,2016/08/19,699,
+07DA001,1,2016/08/20,680,
+07DA001,1,2016/08/21,681,
+07DA001,1,2016/08/22,667,
+07DA001,1,2016/08/23,653,
+07DA001,1,2016/08/24,655,
+07DA001,1,2016/08/25,661,
+07DA001,1,2016/08/26,664,
+07DA001,1,2016/08/27,831,
+07DA001,1,2016/08/28,1030,
+07DA001,1,2016/08/29,1120,
+07DA001,1,2016/08/30,1120,
+07DA001,1,2016/08/31,1080,
+07DA001,1,2016/09/01,1050,
+07DA001,1,2016/09/02,1020,
+07DA001,1,2016/09/03,1080,
+07DA001,1,2016/09/04,1170,
+07DA001,1,2016/09/05,1200,
+07DA001,1,2016/09/06,1210,
+07DA001,1,2016/09/07,1210,
+07DA001,1,2016/09/08,1200,
+07DA001,1,2016/09/09,1160,
+07DA001,1,2016/09/10,1150,
+07DA001,1,2016/09/11,1140,
+07DA001,1,2016/09/12,1100,
+07DA001,1,2016/09/13,1060,
+07DA001,1,2016/09/14,1010,
+07DA001,1,2016/09/15,966,
+07DA001,1,2016/09/16,922,
+07DA001,1,2016/09/17,885,
+07DA001,1,2016/09/18,867,
+07DA001,1,2016/09/19,831,
+07DA001,1,2016/09/20,792,
+07DA001,1,2016/09/21,757,
+07DA001,1,2016/09/22,731,
+07DA001,1,2016/09/23,710,
+07DA001,1,2016/09/24,701,
+07DA001,1,2016/09/25,706,
+07DA001,1,2016/09/26,691,
+07DA001,1,2016/09/27,659,
+07DA001,1,2016/09/28,634,
+07DA001,1,2016/09/29,609,
+07DA001,1,2016/09/30,584,
+07DA001,1,2016/10/01,568,
+07DA001,1,2016/10/02,583,
+07DA001,1,2016/10/03,596,
+07DA001,1,2016/10/04,607,
+07DA001,1,2016/10/05,640,
+07DA001,1,2016/10/06,662,
+07DA001,1,2016/10/07,663,
+07DA001,1,2016/10/08,683,
+07DA001,1,2016/10/09,696,
+07DA001,1,2016/10/10,684,
+07DA001,1,2016/10/11,660,
+07DA001,1,2016/10/12,636,
+07DA001,1,2016/10/13,615,
+07DA001,1,2016/10/14,601,
+07DA001,1,2016/10/15,590,
+07DA001,1,2016/10/16,580,
+07DA001,1,2016/10/17,572,
+07DA001,1,2016/10/18,559,
+07DA001,1,2016/10/19,552,
+07DA001,1,2016/10/20,539,
+07DA001,1,2016/10/21,544,
+07DA001,1,2016/10/22,546,
+07DA001,1,2016/10/23,548,
+07DA001,1,2016/10/24,545,
+07DA001,1,2016/10/25,550,
+07DA001,1,2016/10/26,560,
+07DA001,1,2016/10/27,574,
+07DA001,1,2016/10/28,585,
+07DA001,1,2016/10/29,591,
+07DA001,1,2016/10/30,601,
+07DA001,1,2016/10/31,599,
+07DA001,1,2016/11/01,599,B
+07DA001,1,2016/11/02,584,B
+07DA001,1,2016/11/03,555,B
+07DA001,1,2016/11/04,558,B
+07DA001,1,2016/11/05,562,
+07DA001,1,2016/11/06,553,
+07DA001,1,2016/11/07,536,
+07DA001,1,2016/11/08,520,
+07DA001,1,2016/11/09,511,
+07DA001,1,2016/11/10,503,
+07DA001,1,2016/11/11,496,
+07DA001,1,2016/11/12,505,
+07DA001,1,2016/11/13,505,
+07DA001,1,2016/11/14,513,
+07DA001,1,2016/11/15,505,B
+07DA001,1,2016/11/16,470,B
+07DA001,1,2016/11/17,460,B
+07DA001,1,2016/11/18,467,B
+07DA001,1,2016/11/19,428,B
+07DA001,1,2016/11/20,361,B
+07DA001,1,2016/11/21,312,B
+07DA001,1,2016/11/22,301,B
+07DA001,1,2016/11/23,295,B
+07DA001,1,2016/11/24,281,B
+07DA001,1,2016/11/25,286,B
+07DA001,1,2016/11/26,332,B
+07DA001,1,2016/11/27,356,B
+07DA001,1,2016/11/28,355,B
+07DA001,1,2016/11/29,341,B
+07DA001,1,2016/11/30,324,B
+07DA001,1,2016/12/01,314,B
+07DA001,1,2016/12/02,307,B
+07DA001,1,2016/12/03,291,B
+07DA001,1,2016/12/04,253,B
+07DA001,1,2016/12/05,179,B
+07DA001,1,2016/12/06,136,B
+07DA001,1,2016/12/07,133,B
+07DA001,1,2016/12/08,141,B
+07DA001,1,2016/12/09,132,B
+07DA001,1,2016/12/10,145,B
+07DA001,1,2016/12/11,158,B
+07DA001,1,2016/12/12,141,B
+07DA001,1,2016/12/13,126,B
+07DA001,1,2016/12/14,122,B
+07DA001,1,2016/12/15,118,B
+07DA001,1,2016/12/16,116,B
+07DA001,1,2016/12/17,117,B
+07DA001,1,2016/12/18,122,B
+07DA001,1,2016/12/19,131,B
+07DA001,1,2016/12/20,141,B
+07DA001,1,2016/12/21,151,B
+07DA001,1,2016/12/22,157,B
+07DA001,1,2016/12/23,158,B
+07DA001,1,2016/12/24,155,B
+07DA001,1,2016/12/25,151,B
+07DA001,1,2016/12/26,149,B
+07DA001,1,2016/12/27,147,B
+07DA001,1,2016/12/28,147,B
+07DA001,1,2016/12/29,148,B
+07DA001,1,2016/12/30,148,B
+07DA001,1,2016/12/31,149,B
+07DA001,1,2017/01/01,150,B
+07DA001,1,2017/01/02,150,B
+07DA001,1,2017/01/03,150,B
+07DA001,1,2017/01/04,150,B
+07DA001,1,2017/01/05,150,B
+07DA001,1,2017/01/06,152,B
+07DA001,1,2017/01/07,154,B
+07DA001,1,2017/01/08,158,B
+07DA001,1,2017/01/09,164,B
+07DA001,1,2017/01/10,171,B
+07DA001,1,2017/01/11,178,B
+07DA001,1,2017/01/12,186,B
+07DA001,1,2017/01/13,192,B
+07DA001,1,2017/01/14,196,B
+07DA001,1,2017/01/15,198,B
+07DA001,1,2017/01/16,198,B
+07DA001,1,2017/01/17,196,B
+07DA001,1,2017/01/18,193,B
+07DA001,1,2017/01/19,190,B
+07DA001,1,2017/01/20,188,B
+07DA001,1,2017/01/21,185,B
+07DA001,1,2017/01/22,182,B
+07DA001,1,2017/01/23,180,B
+07DA001,1,2017/01/24,179,B
+07DA001,1,2017/01/25,178,B
+07DA001,1,2017/01/26,179,B
+07DA001,1,2017/01/27,182,B
+07DA001,1,2017/01/28,185,B
+07DA001,1,2017/01/29,187,B
+07DA001,1,2017/01/30,187,B
+07DA001,1,2017/01/31,186,B
+07DA001,1,2017/02/01,185,B
+07DA001,1,2017/02/02,184,B
+07DA001,1,2017/02/03,183,B
+07DA001,1,2017/02/04,182,B
+07DA001,1,2017/02/05,181,B
+07DA001,1,2017/02/06,180,B
+07DA001,1,2017/02/07,180,B
+07DA001,1,2017/02/08,179,B
+07DA001,1,2017/02/09,178,B
+07DA001,1,2017/02/10,178,B
+07DA001,1,2017/02/11,179,B
+07DA001,1,2017/02/12,176,B
+07DA001,1,2017/02/13,173,B
+07DA001,1,2017/02/14,171,B
+07DA001,1,2017/02/15,170,B
+07DA001,1,2017/02/16,169,B
+07DA001,1,2017/02/17,167,B
+07DA001,1,2017/02/18,167,B
+07DA001,1,2017/02/19,167,B
+07DA001,1,2017/02/20,169,B
+07DA001,1,2017/02/21,171,B
+07DA001,1,2017/02/22,174,B
+07DA001,1,2017/02/23,176,B
+07DA001,1,2017/02/24,178,B
+07DA001,1,2017/02/25,180,B
+07DA001,1,2017/02/26,181,B
+07DA001,1,2017/02/27,180,B
+07DA001,1,2017/02/28,179,B
+07DA001,1,2017/03/01,178,B
+07DA001,1,2017/03/02,175,B
+07DA001,1,2017/03/03,173,B
+07DA001,1,2017/03/04,171,B
+07DA001,1,2017/03/05,168,B
+07DA001,1,2017/03/06,166,B
+07DA001,1,2017/03/07,164,B
+07DA001,1,2017/03/08,163,B
+07DA001,1,2017/03/09,163,B
+07DA001,1,2017/03/10,163,B
+07DA001,1,2017/03/11,164,B
+07DA001,1,2017/03/12,165,B
+07DA001,1,2017/03/13,165,B
+07DA001,1,2017/03/14,164,B
+07DA001,1,2017/03/15,162,B
+07DA001,1,2017/03/16,160,B
+07DA001,1,2017/03/17,159,B
+07DA001,1,2017/03/18,160,B
+07DA001,1,2017/03/19,160,B
+07DA001,1,2017/03/20,158,B
+07DA001,1,2017/03/21,159,B
+07DA001,1,2017/03/22,162,B
+07DA001,1,2017/03/23,163,B
+07DA001,1,2017/03/24,165,B
+07DA001,1,2017/03/25,168,B
+07DA001,1,2017/03/26,170,B
+07DA001,1,2017/03/27,170,B
+07DA001,1,2017/03/28,169,B
+07DA001,1,2017/03/29,171,B
+07DA001,1,2017/03/30,173,B
+07DA001,1,2017/03/31,175,B
+07DA001,1,2017/04/01,186,B
+07DA001,1,2017/04/02,198,B
+07DA001,1,2017/04/03,212,B
+07DA001,1,2017/04/04,212,B
+07DA001,1,2017/04/05,211,B
+07DA001,1,2017/04/06,237,B
+07DA001,1,2017/04/07,268,B
+07DA001,1,2017/04/08,319,B
+07DA001,1,2017/04/09,360,B
+07DA001,1,2017/04/10,379,B
+07DA001,1,2017/04/11,411,B
+07DA001,1,2017/04/12,428,B
+07DA001,1,2017/04/13,443,B
+07DA001,1,2017/04/14,471,B
+07DA001,1,2017/04/15,485,B
+07DA001,1,2017/04/16,518,B
+07DA001,1,2017/04/17,525,B
+07DA001,1,2017/04/18,549,B
+07DA001,1,2017/04/19,564,B
+07DA001,1,2017/04/20,576,B
+07DA001,1,2017/04/21,598,B
+07DA001,1,2017/04/22,612,B
+07DA001,1,2017/04/23,635,B
+07DA001,1,2017/04/24,683,B
+07DA001,1,2017/04/25,767,B
+07DA001,1,2017/04/26,889,B
+07DA001,1,2017/04/27,978,B
+07DA001,1,2017/04/28,974,B
+07DA001,1,2017/04/29,970,B
+07DA001,1,2017/04/30,988,B
+07DA001,1,2017/05/01,1030,
+07DA001,1,2017/05/02,1040,
+07DA001,1,2017/05/03,1070,
+07DA001,1,2017/05/04,1160,
+07DA001,1,2017/05/05,1250,
+07DA001,1,2017/05/06,1300,
+07DA001,1,2017/05/07,1320,
+07DA001,1,2017/05/08,1350,
+07DA001,1,2017/05/09,1420,
+07DA001,1,2017/05/10,1580,
+07DA001,1,2017/05/11,1670,
+07DA001,1,2017/05/12,1590,
+07DA001,1,2017/05/13,1510,
+07DA001,1,2017/05/14,1470,
+07DA001,1,2017/05/15,1490,
+07DA001,1,2017/05/16,1600,
+07DA001,1,2017/05/17,2090,
+07DA001,1,2017/05/18,2230,
+07DA001,1,2017/05/19,2070,
+07DA001,1,2017/05/20,1930,
+07DA001,1,2017/05/21,1800,
+07DA001,1,2017/05/22,1690,
+07DA001,1,2017/05/23,1590,
+07DA001,1,2017/05/24,1490,
+07DA001,1,2017/05/25,1400,
+07DA001,1,2017/05/26,1340,
+07DA001,1,2017/05/27,1330,
+07DA001,1,2017/05/28,1520,
+07DA001,1,2017/05/29,1890,
+07DA001,1,2017/05/30,1860,
+07DA001,1,2017/05/31,1720,
+07DA001,1,2017/06/01,1640,
+07DA001,1,2017/06/02,1650,
+07DA001,1,2017/06/03,1690,
+07DA001,1,2017/06/04,1750,A
+07DA001,1,2017/06/05,1790,A
+07DA001,1,2017/06/06,1800,A
+07DA001,1,2017/06/07,1760,
+07DA001,1,2017/06/08,1670,
+07DA001,1,2017/06/09,1560,
+07DA001,1,2017/06/10,1450,
+07DA001,1,2017/06/11,1380,
+07DA001,1,2017/06/12,1320,
+07DA001,1,2017/06/13,1500,
+07DA001,1,2017/06/14,2270,
+07DA001,1,2017/06/15,2370,
+07DA001,1,2017/06/16,2110,
+07DA001,1,2017/06/17,1960,
+07DA001,1,2017/06/18,1850,
+07DA001,1,2017/06/19,1760,
+07DA001,1,2017/06/20,1650,
+07DA001,1,2017/06/21,1530,
+07DA001,1,2017/06/22,1430,
+07DA001,1,2017/06/23,1340,
+07DA001,1,2017/06/24,1260,
+07DA001,1,2017/06/25,1200,
+07DA001,1,2017/06/26,1200,
+07DA001,1,2017/06/27,1200,
+07DA001,1,2017/06/28,1130,
+07DA001,1,2017/06/29,1050,
+07DA001,1,2017/06/30,1030,
+07DA001,1,2017/07/01,1050,
+07DA001,1,2017/07/02,1170,
+07DA001,1,2017/07/03,1290,
+07DA001,1,2017/07/04,1250,
+07DA001,1,2017/07/05,1220,
+07DA001,1,2017/07/06,1200,
+07DA001,1,2017/07/07,1250,
+07DA001,1,2017/07/08,1290,
+07DA001,1,2017/07/09,1240,
+07DA001,1,2017/07/10,1140,
+07DA001,1,2017/07/11,1070,
+07DA001,1,2017/07/12,1030,
+07DA001,1,2017/07/13,1010,
+07DA001,1,2017/07/14,1010,
+07DA001,1,2017/07/15,1000,
+07DA001,1,2017/07/16,986,
+07DA001,1,2017/07/17,981,
+07DA001,1,2017/07/18,973,
+07DA001,1,2017/07/19,955,
+07DA001,1,2017/07/20,927,
+07DA001,1,2017/07/21,892,
+07DA001,1,2017/07/22,877,
+07DA001,1,2017/07/23,855,
+07DA001,1,2017/07/24,814,
+07DA001,1,2017/07/25,820,
+07DA001,1,2017/07/26,1010,
+07DA001,1,2017/07/27,1100,
+07DA001,1,2017/07/28,1130,
+07DA001,1,2017/07/29,1140,
+07DA001,1,2017/07/30,1140,
+07DA001,1,2017/07/31,1060,
+07DA001,1,2017/08/01,995,
+07DA001,1,2017/08/02,954,
+07DA001,1,2017/08/03,926,
+07DA001,1,2017/08/04,924,
+07DA001,1,2017/08/05,922,
+07DA001,1,2017/08/06,893,
+07DA001,1,2017/08/07,868,
+07DA001,1,2017/08/08,858,
+07DA001,1,2017/08/09,849,
+07DA001,1,2017/08/10,849,
+07DA001,1,2017/08/11,857,
+07DA001,1,2017/08/12,870,
+07DA001,1,2017/08/13,872,
+07DA001,1,2017/08/14,840,
+07DA001,1,2017/08/15,807,
+07DA001,1,2017/08/16,779,
+07DA001,1,2017/08/17,761,
+07DA001,1,2017/08/18,742,
+07DA001,1,2017/08/19,730,
+07DA001,1,2017/08/20,720,
+07DA001,1,2017/08/21,701,
+07DA001,1,2017/08/22,661,
+07DA001,1,2017/08/23,629,
+07DA001,1,2017/08/24,610,
+07DA001,1,2017/08/25,602,
+07DA001,1,2017/08/26,612,
+07DA001,1,2017/08/27,597,
+07DA001,1,2017/08/28,562,
+07DA001,1,2017/08/29,539,
+07DA001,1,2017/08/30,531,
+07DA001,1,2017/08/31,542,
+07DA001,1,2017/09/01,536,
+07DA001,1,2017/09/02,505,
+07DA001,1,2017/09/03,473,
+07DA001,1,2017/09/04,468,
+07DA001,1,2017/09/05,483,
+07DA001,1,2017/09/06,488,
+07DA001,1,2017/09/07,484,
+07DA001,1,2017/09/08,471,
+07DA001,1,2017/09/09,451,
+07DA001,1,2017/09/10,451,
+07DA001,1,2017/09/11,469,
+07DA001,1,2017/09/12,458,
+07DA001,1,2017/09/13,440,
+07DA001,1,2017/09/14,438,
+07DA001,1,2017/09/15,451,
+07DA001,1,2017/09/16,484,
+07DA001,1,2017/09/17,530,
+07DA001,1,2017/09/18,505,
+07DA001,1,2017/09/19,491,
+07DA001,1,2017/09/20,541,
+07DA001,1,2017/09/21,537,
+07DA001,1,2017/09/22,513,
+07DA001,1,2017/09/23,514,
+07DA001,1,2017/09/24,523,
+07DA001,1,2017/09/25,592,
+07DA001,1,2017/09/26,789,
+07DA001,1,2017/09/27,818,
+07DA001,1,2017/09/28,798,
+07DA001,1,2017/09/29,766,
+07DA001,1,2017/09/30,743,
+07DA001,1,2017/10/01,732,
+07DA001,1,2017/10/02,729,
+07DA001,1,2017/10/03,717,
+07DA001,1,2017/10/04,713,
+07DA001,1,2017/10/05,696,
+07DA001,1,2017/10/06,680,
+07DA001,1,2017/10/07,669,
+07DA001,1,2017/10/08,653,
+07DA001,1,2017/10/09,626,
+07DA001,1,2017/10/10,599,
+07DA001,1,2017/10/11,581,
+07DA001,1,2017/10/12,574,
+07DA001,1,2017/10/13,566,
+07DA001,1,2017/10/14,564,
+07DA001,1,2017/10/15,562,
+07DA001,1,2017/10/16,558,
+07DA001,1,2017/10/17,564,
+07DA001,1,2017/10/18,590,
+07DA001,1,2017/10/19,610,
+07DA001,1,2017/10/20,625,
+07DA001,1,2017/10/21,630,
+07DA001,1,2017/10/22,637,
+07DA001,1,2017/10/23,643,
+07DA001,1,2017/10/24,674,
+07DA001,1,2017/10/25,732,
+07DA001,1,2017/10/26,721,
+07DA001,1,2017/10/27,700,
+07DA001,1,2017/10/28,683,
+07DA001,1,2017/10/29,665,
+07DA001,1,2017/10/30,660,
+07DA001,1,2017/10/31,657,
+07DA001,1,2017/11/01,658,B
+07DA001,1,2017/11/02,653,B
+07DA001,1,2017/11/03,609,B
+07DA001,1,2017/11/04,574,B
+07DA001,1,2017/11/05,583,B
+07DA001,1,2017/11/06,517,B
+07DA001,1,2017/11/07,421,B
+07DA001,1,2017/11/08,364,B
+07DA001,1,2017/11/09,367,B
+07DA001,1,2017/11/10,342,B
+07DA001,1,2017/11/11,264,B
+07DA001,1,2017/11/12,221,B
+07DA001,1,2017/11/13,251,B
+07DA001,1,2017/11/14,300,B
+07DA001,1,2017/11/15,301,B
+07DA001,1,2017/11/16,259,B
+07DA001,1,2017/11/17,214,B
+07DA001,1,2017/11/18,216,B
+07DA001,1,2017/11/19,246,B
+07DA001,1,2017/11/20,274,B
+07DA001,1,2017/11/21,290,B
+07DA001,1,2017/11/22,288,B
+07DA001,1,2017/11/23,284,B
+07DA001,1,2017/11/24,301,B
+07DA001,1,2017/11/25,323,B
+07DA001,1,2017/11/26,320,B
+07DA001,1,2017/11/27,306,B
+07DA001,1,2017/11/28,306,B
+07DA001,1,2017/11/29,310,B
+07DA001,1,2017/11/30,304,B
+07DA001,1,2017/12/01,305,B
+07DA001,1,2017/12/02,318,B
+07DA001,1,2017/12/03,317,B
+07DA001,1,2017/12/04,309,B
+07DA001,1,2017/12/05,316,B
+07DA001,1,2017/12/06,316,B
+07DA001,1,2017/12/07,309,B
+07DA001,1,2017/12/08,318,B
+07DA001,1,2017/12/09,330,B
+07DA001,1,2017/12/10,332,B
+07DA001,1,2017/12/11,329,B
+07DA001,1,2017/12/12,324,B
+07DA001,1,2017/12/13,327,B
+07DA001,1,2017/12/14,332,B
+07DA001,1,2017/12/15,324,B
+07DA001,1,2017/12/16,315,B
+07DA001,1,2017/12/17,302,B
+07DA001,1,2017/12/18,291,B
+07DA001,1,2017/12/19,279,B
+07DA001,1,2017/12/20,257,B
+07DA001,1,2017/12/21,257,B
+07DA001,1,2017/12/22,267,B
+07DA001,1,2017/12/23,277,B
+07DA001,1,2017/12/24,280,B
+07DA001,1,2017/12/25,275,B
+07DA001,1,2017/12/26,266,B
+07DA001,1,2017/12/27,256,B
+07DA001,1,2017/12/28,245,B
+07DA001,1,2017/12/29,237,B
+07DA001,1,2017/12/30,226,B
+07DA001,1,2017/12/31,214,B
+07DA001,1,2018/01/01,207,B
+07DA001,1,2018/01/02,203,B
+07DA001,1,2018/01/03,201,B
+07DA001,1,2018/01/04,200,B
+07DA001,1,2018/01/05,199,B
+07DA001,1,2018/01/06,196,B
+07DA001,1,2018/01/07,194,B
+07DA001,1,2018/01/08,184,B
+07DA001,1,2018/01/09,178,B
+07DA001,1,2018/01/10,178,B
+07DA001,1,2018/01/11,180,B
+07DA001,1,2018/01/12,185,B
+07DA001,1,2018/01/13,192,B
+07DA001,1,2018/01/14,195,B
+07DA001,1,2018/01/15,197,B
+07DA001,1,2018/01/16,199,B
+07DA001,1,2018/01/17,203,B
+07DA001,1,2018/01/18,210,B
+07DA001,1,2018/01/19,219,B
+07DA001,1,2018/01/20,223,B
+07DA001,1,2018/01/21,219,B
+07DA001,1,2018/01/22,214,B
+07DA001,1,2018/01/23,210,B
+07DA001,1,2018/01/24,208,B
+07DA001,1,2018/01/25,207,B
+07DA001,1,2018/01/26,207,B
+07DA001,1,2018/01/27,206,B
+07DA001,1,2018/01/28,206,B
+07DA001,1,2018/01/29,205,B
+07DA001,1,2018/01/30,204,B
+07DA001,1,2018/01/31,203,B
+07DA001,1,2018/02/01,202,B
+07DA001,1,2018/02/02,201,B
+07DA001,1,2018/02/03,199,B
+07DA001,1,2018/02/04,198,B
+07DA001,1,2018/02/05,197,B
+07DA001,1,2018/02/06,195,B
+07DA001,1,2018/02/07,194,B
+07DA001,1,2018/02/08,193,B
+07DA001,1,2018/02/09,192,B
+07DA001,1,2018/02/10,192,B
+07DA001,1,2018/02/11,191,B
+07DA001,1,2018/02/12,190,B
+07DA001,1,2018/02/13,189,B
+07DA001,1,2018/02/14,188,B
+07DA001,1,2018/02/15,188,B
+07DA001,1,2018/02/16,187,B
+07DA001,1,2018/02/17,187,B
+07DA001,1,2018/02/18,186,B
+07DA001,1,2018/02/19,186,B
+07DA001,1,2018/02/20,185,B
+07DA001,1,2018/02/21,185,B
+07DA001,1,2018/02/22,184,B
+07DA001,1,2018/02/23,184,B
+07DA001,1,2018/02/24,184,B
+07DA001,1,2018/02/25,184,B
+07DA001,1,2018/02/26,183,B
+07DA001,1,2018/02/27,183,B
+07DA001,1,2018/02/28,183,B
+07DA001,1,2018/03/01,183,B
+07DA001,1,2018/03/02,183,B
+07DA001,1,2018/03/03,183,B
+07DA001,1,2018/03/04,183,B
+07DA001,1,2018/03/05,183,B
+07DA001,1,2018/03/06,183,B
+07DA001,1,2018/03/07,183,B
+07DA001,1,2018/03/08,183,B
+07DA001,1,2018/03/09,183,B
+07DA001,1,2018/03/10,183,B
+07DA001,1,2018/03/11,183,B
+07DA001,1,2018/03/12,183,B
+07DA001,1,2018/03/13,183,B
+07DA001,1,2018/03/14,183,B
+07DA001,1,2018/03/15,183,B
+07DA001,1,2018/03/16,183,B
+07DA001,1,2018/03/17,183,B
+07DA001,1,2018/03/18,183,B
+07DA001,1,2018/03/19,183,B
+07DA001,1,2018/03/20,183,B
+07DA001,1,2018/03/21,183,B
+07DA001,1,2018/03/22,183,B
+07DA001,1,2018/03/23,183,B
+07DA001,1,2018/03/24,183,B
+07DA001,1,2018/03/25,183,B
+07DA001,1,2018/03/26,183,B
+07DA001,1,2018/03/27,183,B
+07DA001,1,2018/03/28,183,B
+07DA001,1,2018/03/29,183,B
+07DA001,1,2018/03/30,183,B
+07DA001,1,2018/03/31,183,B
+07DA001,1,2018/04/01,183,B
+07DA001,1,2018/04/02,183,B
+07DA001,1,2018/04/03,183,B
+07DA001,1,2018/04/04,184,B
+07DA001,1,2018/04/05,184,B
+07DA001,1,2018/04/06,184,B
+07DA001,1,2018/04/07,185,B
+07DA001,1,2018/04/08,185,B
+07DA001,1,2018/04/09,186,B
+07DA001,1,2018/04/10,186,B
+07DA001,1,2018/04/11,186,B
+07DA001,1,2018/04/12,187,B
+07DA001,1,2018/04/13,188,B
+07DA001,1,2018/04/14,191,B
+07DA001,1,2018/04/15,192,B
+07DA001,1,2018/04/16,193,B
+07DA001,1,2018/04/17,203,B
+07DA001,1,2018/04/18,220,B
+07DA001,1,2018/04/19,234,B
+07DA001,1,2018/04/20,243,B
+07DA001,1,2018/04/21,255,B
+07DA001,1,2018/04/22,277,B
+07DA001,1,2018/04/23,317,B
+07DA001,1,2018/04/24,376,B
+07DA001,1,2018/04/25,455,B
+07DA001,1,2018/04/26,555,B
+07DA001,1,2018/04/27,679,B
+07DA001,1,2018/04/28,837,B
+07DA001,1,2018/04/29,1040,B
+07DA001,1,2018/04/30,1360,B
+07DA001,1,2018/05/01,1810,B
+07DA001,1,2018/05/02,2350,B
+07DA001,1,2018/05/03,2580,
+07DA001,1,2018/05/04,2340,
+07DA001,1,2018/05/05,2080,
+07DA001,1,2018/05/06,1930,
+07DA001,1,2018/05/07,1820,
+07DA001,1,2018/05/08,1720,
+07DA001,1,2018/05/09,1640,A
+07DA001,1,2018/05/10,1560,
+07DA001,1,2018/05/11,1490,
+07DA001,1,2018/05/12,1450,
+07DA001,1,2018/05/13,1410,
+07DA001,1,2018/05/14,1380,
+07DA001,1,2018/05/15,1380,
+07DA001,1,2018/05/16,1350,
+07DA001,1,2018/05/17,1320,
+07DA001,1,2018/05/18,1290,
+07DA001,1,2018/05/19,1300,
+07DA001,1,2018/05/20,1330,
+07DA001,1,2018/05/21,1390,
+07DA001,1,2018/05/22,1420,
+07DA001,1,2018/05/23,1390,
+07DA001,1,2018/05/24,1330,
+07DA001,1,2018/05/25,1320,
+07DA001,1,2018/05/26,1320,
+07DA001,1,2018/05/27,1300,
+07DA001,1,2018/05/28,1290,
+07DA001,1,2018/05/29,1300,
+07DA001,1,2018/05/30,1330,
+07DA001,1,2018/05/31,1320,
+07DA001,1,2018/06/01,1270,
+07DA001,1,2018/06/02,1200,
+07DA001,1,2018/06/03,1160,
+07DA001,1,2018/06/04,1130,
+07DA001,1,2018/06/05,1070,
+07DA001,1,2018/06/06,1000,
+07DA001,1,2018/06/07,947,
+07DA001,1,2018/06/08,902,
+07DA001,1,2018/06/09,866,
+07DA001,1,2018/06/10,850,
+07DA001,1,2018/06/11,896,
+07DA001,1,2018/06/12,936,
+07DA001,1,2018/06/13,978,
+07DA001,1,2018/06/14,1100,
+07DA001,1,2018/06/15,1520,
+07DA001,1,2018/06/16,1730,
+07DA001,1,2018/06/17,1630,
+07DA001,1,2018/06/18,1460,
+07DA001,1,2018/06/19,1370,A
+07DA001,1,2018/06/20,1290,
+07DA001,1,2018/06/21,1230,
+07DA001,1,2018/06/22,1180,
+07DA001,1,2018/06/23,1140,
+07DA001,1,2018/06/24,1120,A
+07DA001,1,2018/06/25,1130,
+07DA001,1,2018/06/26,1180,
+07DA001,1,2018/06/27,1240,
+07DA001,1,2018/06/28,1330,
+07DA001,1,2018/06/29,1370,
+07DA001,1,2018/06/30,1350,
+07DA001,1,2018/07/01,1340,
+07DA001,1,2018/07/02,1300,
+07DA001,1,2018/07/03,1270,
+07DA001,1,2018/07/04,1270,
+07DA001,1,2018/07/05,1250,
+07DA001,1,2018/07/06,1230,
+07DA001,1,2018/07/07,1290,
+07DA001,1,2018/07/08,1580,
+07DA001,1,2018/07/09,1960,
+07DA001,1,2018/07/10,1830,
+07DA001,1,2018/07/11,1760,
+07DA001,1,2018/07/12,1650,
+07DA001,1,2018/07/13,1510,
+07DA001,1,2018/07/14,1370,
+07DA001,1,2018/07/15,1260,
+07DA001,1,2018/07/16,1190,
+07DA001,1,2018/07/17,1130,
+07DA001,1,2018/07/18,1080,
+07DA001,1,2018/07/19,1060,
+07DA001,1,2018/07/20,1080,
+07DA001,1,2018/07/21,1090,
+07DA001,1,2018/07/22,1140,
+07DA001,1,2018/07/23,1160,
+07DA001,1,2018/07/24,1240,
+07DA001,1,2018/07/25,1420,
+07DA001,1,2018/07/26,1580,
+07DA001,1,2018/07/27,1580,
+07DA001,1,2018/07/28,1540,
+07DA001,1,2018/07/29,1460,
+07DA001,1,2018/07/30,1360,
+07DA001,1,2018/07/31,1270,
+07DA001,1,2018/08/01,1200,
+07DA001,1,2018/08/02,1150,
+07DA001,1,2018/08/03,1110,
+07DA001,1,2018/08/04,1090,
+07DA001,1,2018/08/05,1100,
+07DA001,1,2018/08/06,1120,
+07DA001,1,2018/08/07,1150,
+07DA001,1,2018/08/08,1140,
+07DA001,1,2018/08/09,1080,
+07DA001,1,2018/08/10,1010,
+07DA001,1,2018/08/11,939,
+07DA001,1,2018/08/12,883,
+07DA001,1,2018/08/13,854,
+07DA001,1,2018/08/14,840,
+07DA001,1,2018/08/15,821,
+07DA001,1,2018/08/16,815,
+07DA001,1,2018/08/17,831,
+07DA001,1,2018/08/18,849,
+07DA001,1,2018/08/19,844,
+07DA001,1,2018/08/20,803,
+07DA001,1,2018/08/21,757,
+07DA001,1,2018/08/22,724,
+07DA001,1,2018/08/23,710,
+07DA001,1,2018/08/24,698,
+07DA001,1,2018/08/25,677,
+07DA001,1,2018/08/26,646,
+07DA001,1,2018/08/27,625,
+07DA001,1,2018/08/28,614,
+07DA001,1,2018/08/29,613,
+07DA001,1,2018/08/30,640,
+07DA001,1,2018/08/31,658,
+07DA001,1,2018/09/01,648,
+07DA001,1,2018/09/02,630,
+07DA001,1,2018/09/03,639,
+07DA001,1,2018/09/04,630,
+07DA001,1,2018/09/05,629,
+07DA001,1,2018/09/06,644,
+07DA001,1,2018/09/07,628,
+07DA001,1,2018/09/08,616,
+07DA001,1,2018/09/09,625,
+07DA001,1,2018/09/10,607,
+07DA001,1,2018/09/11,608,
+07DA001,1,2018/09/12,605,
+07DA001,1,2018/09/13,598,
+07DA001,1,2018/09/14,588,
+07DA001,1,2018/09/15,589,
+07DA001,1,2018/09/16,606,
+07DA001,1,2018/09/17,612,
+07DA001,1,2018/09/18,610,
+07DA001,1,2018/09/19,603,
+07DA001,1,2018/09/20,606,
+07DA001,1,2018/09/21,591,A
+07DA001,1,2018/09/22,564,
+07DA001,1,2018/09/23,555,
+07DA001,1,2018/09/24,554,
+07DA001,1,2018/09/25,558,
+07DA001,1,2018/09/26,565,
+07DA001,1,2018/09/27,566,
+07DA001,1,2018/09/28,570,
+07DA001,1,2018/09/29,574,
+07DA001,1,2018/09/30,577,
+07DA001,1,2018/10/01,590,
+07DA001,1,2018/10/02,607,
+07DA001,1,2018/10/03,634,
+07DA001,1,2018/10/04,670,
+07DA001,1,2018/10/05,665,
+07DA001,1,2018/10/06,644,
+07DA001,1,2018/10/07,626,
+07DA001,1,2018/10/08,600,
+07DA001,1,2018/10/09,576,A
+07DA001,1,2018/10/10,562,
+07DA001,1,2018/10/11,557,
+07DA001,1,2018/10/12,551,
+07DA001,1,2018/10/13,533,
+07DA001,1,2018/10/14,516,
+07DA001,1,2018/10/15,522,
+07DA001,1,2018/10/16,517,
+07DA001,1,2018/10/17,519,
+07DA001,1,2018/10/18,512,
+07DA001,1,2018/10/19,507,
+07DA001,1,2018/10/20,506,
+07DA001,1,2018/10/21,508,
+07DA001,1,2018/10/22,499,
+07DA001,1,2018/10/23,499,
+07DA001,1,2018/10/24,497,
+07DA001,1,2018/10/25,495,
+07DA001,1,2018/10/26,493,
+07DA001,1,2018/10/27,488,
+07DA001,1,2018/10/28,478,
+07DA001,1,2018/10/29,472,
+07DA001,1,2018/10/30,469,
+07DA001,1,2018/10/31,473,
+07DA001,1,2018/11/01,472,
+07DA001,1,2018/11/02,458,
+07DA001,1,2018/11/03,456,
+07DA001,1,2018/11/04,452,B
+07DA001,1,2018/11/05,428,B
+07DA001,1,2018/11/06,390,B
+07DA001,1,2018/11/07,355,B
+07DA001,1,2018/11/08,337,B
+07DA001,1,2018/11/09,329,B
+07DA001,1,2018/11/10,323,B
+07DA001,1,2018/11/11,311,B
+07DA001,1,2018/11/12,298,B
+07DA001,1,2018/11/13,284,B
+07DA001,1,2018/11/14,274,B
+07DA001,1,2018/11/15,265,B
+07DA001,1,2018/11/16,258,B
+07DA001,1,2018/11/17,253,B
+07DA001,1,2018/11/18,248,B
+07DA001,1,2018/11/19,245,B
+07DA001,1,2018/11/20,241,B
+07DA001,1,2018/11/21,238,B
+07DA001,1,2018/11/22,236,B
+07DA001,1,2018/11/23,234,B
+07DA001,1,2018/11/24,232,B
+07DA001,1,2018/11/25,230,B
+07DA001,1,2018/11/26,228,B
+07DA001,1,2018/11/27,227,B
+07DA001,1,2018/11/28,225,B
+07DA001,1,2018/11/29,224,B
+07DA001,1,2018/11/30,223,B
+07DA001,1,2018/12/01,222,B
+07DA001,1,2018/12/02,221,B
+07DA001,1,2018/12/03,220,B
+07DA001,1,2018/12/04,219,B
+07DA001,1,2018/12/05,218,B
+07DA001,1,2018/12/06,216,B
+07DA001,1,2018/12/07,215,B
+07DA001,1,2018/12/08,214,B
+07DA001,1,2018/12/09,213,B
+07DA001,1,2018/12/10,212,B
+07DA001,1,2018/12/11,212,B
+07DA001,1,2018/12/12,212,B
+07DA001,1,2018/12/13,211,B
+07DA001,1,2018/12/14,211,B
+07DA001,1,2018/12/15,211,B
+07DA001,1,2018/12/16,211,B
+07DA001,1,2018/12/17,210,B
+07DA001,1,2018/12/18,210,B
+07DA001,1,2018/12/19,210,B
+07DA001,1,2018/12/20,210,B
+07DA001,1,2018/12/21,209,B
+07DA001,1,2018/12/22,209,B
+07DA001,1,2018/12/23,210,B
+07DA001,1,2018/12/24,210,B
+07DA001,1,2018/12/25,210,B
+07DA001,1,2018/12/26,211,B
+07DA001,1,2018/12/27,211,B
+07DA001,1,2018/12/28,211,B
+07DA001,1,2018/12/29,212,B
+07DA001,1,2018/12/30,212,B
+07DA001,1,2018/12/31,212,B
+07DA001,1,2019/01/01,213,B
+07DA001,1,2019/01/02,213,B
+07DA001,1,2019/01/03,213,B
+07DA001,1,2019/01/04,214,B
+07DA001,1,2019/01/05,214,B
+07DA001,1,2019/01/06,214,B
+07DA001,1,2019/01/07,215,B
+07DA001,1,2019/01/08,215,B
+07DA001,1,2019/01/09,215,B
+07DA001,1,2019/01/10,216,B
+07DA001,1,2019/01/11,216,B
+07DA001,1,2019/01/12,216,B
+07DA001,1,2019/01/13,217,B
+07DA001,1,2019/01/14,217,B
+07DA001,1,2019/01/15,218,B
+07DA001,1,2019/01/16,218,B
+07DA001,1,2019/01/17,218,B
+07DA001,1,2019/01/18,219,B
+07DA001,1,2019/01/19,219,B
+07DA001,1,2019/01/20,220,B
+07DA001,1,2019/01/21,220,B
+07DA001,1,2019/01/22,220,B
+07DA001,1,2019/01/23,221,B
+07DA001,1,2019/01/24,221,B
+07DA001,1,2019/01/25,222,B
+07DA001,1,2019/01/26,222,B
+07DA001,1,2019/01/27,223,B
+07DA001,1,2019/01/28,223,B
+07DA001,1,2019/01/29,223,B
+07DA001,1,2019/01/30,223,B
+07DA001,1,2019/01/31,222,B
+07DA001,1,2019/02/01,221,B
+07DA001,1,2019/02/02,219,B
+07DA001,1,2019/02/03,216,B
+07DA001,1,2019/02/04,213,B
+07DA001,1,2019/02/05,210,B
+07DA001,1,2019/02/06,208,B
+07DA001,1,2019/02/07,205,B
+07DA001,1,2019/02/08,203,B
+07DA001,1,2019/02/09,201,B
+07DA001,1,2019/02/10,200,B
+07DA001,1,2019/02/11,198,B
+07DA001,1,2019/02/12,197,B
+07DA001,1,2019/02/13,195,B
+07DA001,1,2019/02/14,194,B
+07DA001,1,2019/02/15,193,B
+07DA001,1,2019/02/16,193,B
+07DA001,1,2019/02/17,192,B
+07DA001,1,2019/02/18,192,B
+07DA001,1,2019/02/19,191,B
+07DA001,1,2019/02/20,191,B
+07DA001,1,2019/02/21,190,B
+07DA001,1,2019/02/22,190,B
+07DA001,1,2019/02/23,190,B
+07DA001,1,2019/02/24,190,B
+07DA001,1,2019/02/25,190,B
+07DA001,1,2019/02/26,190,B
+07DA001,1,2019/02/27,190,B
+07DA001,1,2019/02/28,190,B
+07DA001,1,2019/03/01,190,B
+07DA001,1,2019/03/02,190,B
+07DA001,1,2019/03/03,190,B
+07DA001,1,2019/03/04,190,B
+07DA001,1,2019/03/05,190,B
+07DA001,1,2019/03/06,190,B
+07DA001,1,2019/03/07,190,B
+07DA001,1,2019/03/08,190,B
+07DA001,1,2019/03/09,190,B
+07DA001,1,2019/03/10,190,B
+07DA001,1,2019/03/11,190,B
+07DA001,1,2019/03/12,190,B
+07DA001,1,2019/03/13,190,B
+07DA001,1,2019/03/14,190,B
+07DA001,1,2019/03/15,190,B
+07DA001,1,2019/03/16,190,B
+07DA001,1,2019/03/17,190,B
+07DA001,1,2019/03/18,192,B
+07DA001,1,2019/03/19,194,B
+07DA001,1,2019/03/20,197,B
+07DA001,1,2019/03/21,202,B
+07DA001,1,2019/03/22,208,B
+07DA001,1,2019/03/23,217,B
+07DA001,1,2019/03/24,230,B
+07DA001,1,2019/03/25,246,B
+07DA001,1,2019/03/26,266,B
+07DA001,1,2019/03/27,290,B
+07DA001,1,2019/03/28,320,B
+07DA001,1,2019/03/29,356,B
+07DA001,1,2019/03/30,398,B
+07DA001,1,2019/03/31,447,B
+07DA001,1,2019/04/01,503,B
+07DA001,1,2019/04/02,566,B
+07DA001,1,2019/04/03,639,B
+07DA001,1,2019/04/04,720,B
+07DA001,1,2019/04/05,810,B
+07DA001,1,2019/04/06,910,B
+07DA001,1,2019/04/07,1010,B
+07DA001,1,2019/04/08,1110,B
+07DA001,1,2019/04/09,1190,B
+07DA001,1,2019/04/10,1250,B
+07DA001,1,2019/04/11,1280,B
+07DA001,1,2019/04/12,1270,B
+07DA001,1,2019/04/13,1240,B
+07DA001,1,2019/04/14,1200,B
+07DA001,1,2019/04/15,1140,B
+07DA001,1,2019/04/16,1100,B
+07DA001,1,2019/04/17,1050,B
+07DA001,1,2019/04/18,1010,B
+07DA001,1,2019/04/19,1020,B
+07DA001,1,2019/04/20,991,B
+07DA001,1,2019/04/21,959,B
+07DA001,1,2019/04/22,932,B
+07DA001,1,2019/04/23,883,B
+07DA001,1,2019/04/24,858,B
+07DA001,1,2019/04/25,850,B
+07DA001,1,2019/04/26,840,B
+07DA001,1,2019/04/27,828,B
+07DA001,1,2019/04/28,814,B
+07DA001,1,2019/04/29,793,B
+07DA001,1,2019/04/30,757,B
+07DA001,1,2019/05/01,727,B
+07DA001,1,2019/05/02,706,B
+07DA001,1,2019/05/03,684,B
+07DA001,1,2019/05/04,664,B
+07DA001,1,2019/05/05,644,B
+07DA001,1,2019/05/06,624,B
+07DA001,1,2019/05/07,604,E
+07DA001,1,2019/05/08,589,E
+07DA001,1,2019/05/09,591,E
+07DA001,1,2019/05/10,594,E
+07DA001,1,2019/05/11,587,E
+07DA001,1,2019/05/12,578,E
+07DA001,1,2019/05/13,602,A
+07DA001,1,2019/05/14,749,
+07DA001,1,2019/05/15,865,
+07DA001,1,2019/05/16,903,
+07DA001,1,2019/05/17,906,
+07DA001,1,2019/05/18,912,
+07DA001,1,2019/05/19,909,
+07DA001,1,2019/05/20,922,
+07DA001,1,2019/05/21,919,
+07DA001,1,2019/05/22,900,
+07DA001,1,2019/05/23,872,
+07DA001,1,2019/05/24,845,
+07DA001,1,2019/05/25,841,
+07DA001,1,2019/05/26,840,
+07DA001,1,2019/05/27,826,
+07DA001,1,2019/05/28,805,
+07DA001,1,2019/05/29,828,
+07DA001,1,2019/05/30,912,
+07DA001,1,2019/05/31,910,
+07DA001,1,2019/06/01,886,
+07DA001,1,2019/06/02,899,
+07DA001,1,2019/06/03,935,
+07DA001,1,2019/06/04,1030,A
+07DA001,1,2019/06/05,1090,A
+07DA001,1,2019/06/06,1070,
+07DA001,1,2019/06/07,1100,
+07DA001,1,2019/06/08,1130,
+07DA001,1,2019/06/09,1130,
+07DA001,1,2019/06/10,1070,
+07DA001,1,2019/06/11,1000,
+07DA001,1,2019/06/12,972,A
+07DA001,1,2019/06/13,946,
+07DA001,1,2019/06/14,938,
+07DA001,1,2019/06/15,906,
+07DA001,1,2019/06/16,877,
+07DA001,1,2019/06/17,862,
+07DA001,1,2019/06/18,882,
+07DA001,1,2019/06/19,1030,
+07DA001,1,2019/06/20,1110,
+07DA001,1,2019/06/21,1060,
+07DA001,1,2019/06/22,1000,
+07DA001,1,2019/06/23,1010,
+07DA001,1,2019/06/24,1370,
+07DA001,1,2019/06/25,1850,
+07DA001,1,2019/06/26,1970,
+07DA001,1,2019/06/27,1880,
+07DA001,1,2019/06/28,1840,
+07DA001,1,2019/06/29,1850,
+07DA001,1,2019/06/30,1910,
+07DA001,1,2019/07/01,2110,
+07DA001,1,2019/07/02,2700,
+07DA001,1,2019/07/03,2990,
+07DA001,1,2019/07/04,2830,
+07DA001,1,2019/07/05,2480,
+07DA001,1,2019/07/06,2240,
+07DA001,1,2019/07/07,2050,A
+07DA001,1,2019/07/08,1890,E
+07DA001,1,2019/07/09,1740,E
+07DA001,1,2019/07/10,1740,E
+07DA001,1,2019/07/11,2070,A
+07DA001,1,2019/07/12,2660,
+07DA001,1,2019/07/13,2670,
+07DA001,1,2019/07/14,2430,
+07DA001,1,2019/07/15,2250,
+07DA001,1,2019/07/16,2070,
+07DA001,1,2019/07/17,1890,
+07DA001,1,2019/07/18,1730,
+07DA001,1,2019/07/19,1620,
+07DA001,1,2019/07/20,1520,
+07DA001,1,2019/07/21,1450,
+07DA001,1,2019/07/22,1420,
+07DA001,1,2019/07/23,1540,
+07DA001,1,2019/07/24,1760,
+07DA001,1,2019/07/25,1720,
+07DA001,1,2019/07/26,1590,
+07DA001,1,2019/07/27,1610,
+07DA001,1,2019/07/28,2150,
+07DA001,1,2019/07/29,2360,
+07DA001,1,2019/07/30,2130,
+07DA001,1,2019/07/31,1870,
+07DA001,1,2019/08/01,1700,
+07DA001,1,2019/08/02,1600,
+07DA001,1,2019/08/03,1550,
+07DA001,1,2019/08/04,1570,
+07DA001,1,2019/08/05,1700,
+07DA001,1,2019/08/06,1800,
+07DA001,1,2019/08/07,1710,
+07DA001,1,2019/08/08,1600,
+07DA001,1,2019/08/09,1490,
+07DA001,1,2019/08/10,1390,
+07DA001,1,2019/08/11,1340,
+07DA001,1,2019/08/12,1350,
+07DA001,1,2019/08/13,1390,
+07DA001,1,2019/08/14,1360,
+07DA001,1,2019/08/15,1310,
+07DA001,1,2019/08/16,1340,
+07DA001,1,2019/08/17,1430,
+07DA001,1,2019/08/18,1510,
+07DA001,1,2019/08/19,1480,
+07DA001,1,2019/08/20,1410,
+07DA001,1,2019/08/21,1350,
+07DA001,1,2019/08/22,1370,
+07DA001,1,2019/08/23,1350,
+07DA001,1,2019/08/24,1340,
+07DA001,1,2019/08/25,1350,
+07DA001,1,2019/08/26,1290,A
+07DA001,1,2019/08/27,1270,
+07DA001,1,2019/08/28,1270,
+07DA001,1,2019/08/29,1250,
+07DA001,1,2019/08/30,1200,
+07DA001,1,2019/08/31,1150,
+07DA001,1,2019/09/01,1100,
+07DA001,1,2019/09/02,1050,
+07DA001,1,2019/09/03,1020,
+07DA001,1,2019/09/04,1010,
+07DA001,1,2019/09/05,988,
+07DA001,1,2019/09/06,969,
+07DA001,1,2019/09/07,976,
+07DA001,1,2019/09/08,987,
+07DA001,1,2019/09/09,990,
+07DA001,1,2019/09/10,962,
+07DA001,1,2019/09/11,944,
+07DA001,1,2019/09/12,941,
+07DA001,1,2019/09/13,1220,
+07DA001,1,2019/09/14,1560,
+07DA001,1,2019/09/15,1510,
+07DA001,1,2019/09/16,1400,
+07DA001,1,2019/09/17,1300,
+07DA001,1,2019/09/18,1220,
+07DA001,1,2019/09/19,1150,
+07DA001,1,2019/09/20,1110,
+07DA001,1,2019/09/21,1100,
+07DA001,1,2019/09/22,1090,
+07DA001,1,2019/09/23,1050,
+07DA001,1,2019/09/24,1010,
+07DA001,1,2019/09/25,976,
+07DA001,1,2019/09/26,935,
+07DA001,1,2019/09/27,902,
+07DA001,1,2019/09/28,881,
+07DA001,1,2019/09/29,873,
+07DA001,1,2019/09/30,875,
+07DA001,1,2019/10/01,862,
+07DA001,1,2019/10/02,844,
+07DA001,1,2019/10/03,826,
+07DA001,1,2019/10/04,806,
+07DA001,1,2019/10/05,787,
+07DA001,1,2019/10/06,761,
+07DA001,1,2019/10/07,747,
+07DA001,1,2019/10/08,732,
+07DA001,1,2019/10/09,718,
+07DA001,1,2019/10/10,703,
+07DA001,1,2019/10/11,680,
+07DA001,1,2019/10/12,665,
+07DA001,1,2019/10/13,649,
+07DA001,1,2019/10/14,640,
+07DA001,1,2019/10/15,634,
+07DA001,1,2019/10/16,625,
+07DA001,1,2019/10/17,610,
+07DA001,1,2019/10/18,612,
+07DA001,1,2019/10/19,614,
+07DA001,1,2019/10/20,620,
+07DA001,1,2019/10/21,628,
+07DA001,1,2019/10/22,629,
+07DA001,1,2019/10/23,629,
+07DA001,1,2019/10/24,631,
+07DA001,1,2019/10/25,631,
+07DA001,1,2019/10/26,625,
+07DA001,1,2019/10/27,613,
+07DA001,1,2019/10/28,600,B
+07DA001,1,2019/10/29,576,B
+07DA001,1,2019/10/30,531,B
+07DA001,1,2019/10/31,538,B
+07DA001,1,2019/11/01,539,B
+07DA001,1,2019/11/02,533,B
+07DA001,1,2019/11/03,519,B
+07DA001,1,2019/11/04,494,B
+07DA001,1,2019/11/05,464,B
+07DA001,1,2019/11/06,439,B
+07DA001,1,2019/11/07,428,B
+07DA001,1,2019/11/08,422,B
+07DA001,1,2019/11/09,417,B
+07DA001,1,2019/11/10,412,B
+07DA001,1,2019/11/11,408,B
+07DA001,1,2019/11/12,405,B
+07DA001,1,2019/11/13,404,B
+07DA001,1,2019/11/14,404,B
+07DA001,1,2019/11/15,407,B
+07DA001,1,2019/11/16,409,B
+07DA001,1,2019/11/17,411,B
+07DA001,1,2019/11/18,410,B
+07DA001,1,2019/11/19,406,B
+07DA001,1,2019/11/20,401,B
+07DA001,1,2019/11/21,397,B
+07DA001,1,2019/11/22,392,B
+07DA001,1,2019/11/23,388,B
+07DA001,1,2019/11/24,383,B
+07DA001,1,2019/11/25,379,B
+07DA001,1,2019/11/26,374,B
+07DA001,1,2019/11/27,370,B
+07DA001,1,2019/11/28,365,B
+07DA001,1,2019/11/29,360,B
+07DA001,1,2019/11/30,356,B
+07DA001,1,2019/12/01,351,B
+07DA001,1,2019/12/02,347,B
+07DA001,1,2019/12/03,342,B
+07DA001,1,2019/12/04,338,B
+07DA001,1,2019/12/05,333,B
+07DA001,1,2019/12/06,329,B
+07DA001,1,2019/12/07,324,B
+07DA001,1,2019/12/08,320,B
+07DA001,1,2019/12/09,315,B
+07DA001,1,2019/12/10,311,B
+07DA001,1,2019/12/11,307,B
+07DA001,1,2019/12/12,304,B
+07DA001,1,2019/12/13,300,B
+07DA001,1,2019/12/14,297,B
+07DA001,1,2019/12/15,297,B
+07DA001,1,2019/12/16,297,B
+07DA001,1,2019/12/17,296,B
+07DA001,1,2019/12/18,299,B
+07DA001,1,2019/12/19,304,B
+07DA001,1,2019/12/20,310,B
+07DA001,1,2019/12/21,315,B
+07DA001,1,2019/12/22,323,B
+07DA001,1,2019/12/23,332,B
+07DA001,1,2019/12/24,341,B
+07DA001,1,2019/12/25,346,B
+07DA001,1,2019/12/26,347,B
+07DA001,1,2019/12/27,347,B
+07DA001,1,2019/12/28,345,B
+07DA001,1,2019/12/29,343,B
+07DA001,1,2019/12/30,336,B
+07DA001,1,2019/12/31,319,B
+07DA001,1,2020/01/01,299,B
+07DA001,1,2020/01/02,284,B
+07DA001,1,2020/01/03,279,B
+07DA001,1,2020/01/04,277,B
+07DA001,1,2020/01/05,276,B
+07DA001,1,2020/01/06,275,B
+07DA001,1,2020/01/07,273,B
+07DA001,1,2020/01/08,272,B
+07DA001,1,2020/01/09,271,B
+07DA001,1,2020/01/10,270,B
+07DA001,1,2020/01/11,270,B
+07DA001,1,2020/01/12,268,B
+07DA001,1,2020/01/13,265,B
+07DA001,1,2020/01/14,262,B
+07DA001,1,2020/01/15,259,B
+07DA001,1,2020/01/16,255,B
+07DA001,1,2020/01/17,252,B
+07DA001,1,2020/01/18,248,B
+07DA001,1,2020/01/19,245,B
+07DA001,1,2020/01/20,241,B
+07DA001,1,2020/01/21,238,B
+07DA001,1,2020/01/22,236,B
+07DA001,1,2020/01/23,236,B
+07DA001,1,2020/01/24,235,B
+07DA001,1,2020/01/25,235,B
+07DA001,1,2020/01/26,235,B
+07DA001,1,2020/01/27,237,B
+07DA001,1,2020/01/28,238,B
+07DA001,1,2020/01/29,239,B
+07DA001,1,2020/01/30,240,B
+07DA001,1,2020/01/31,241,B
+07DA001,1,2020/02/01,242,B
+07DA001,1,2020/02/02,243,B
+07DA001,1,2020/02/03,244,B
+07DA001,1,2020/02/04,246,B
+07DA001,1,2020/02/05,246,B
+07DA001,1,2020/02/06,246,B
+07DA001,1,2020/02/07,247,B
+07DA001,1,2020/02/08,247,B
+07DA001,1,2020/02/09,247,B
+07DA001,1,2020/02/10,247,B
+07DA001,1,2020/02/11,246,B
+07DA001,1,2020/02/12,246,B
+07DA001,1,2020/02/13,243,B
+07DA001,1,2020/02/14,239,B
+07DA001,1,2020/02/15,236,B
+07DA001,1,2020/02/16,234,B
+07DA001,1,2020/02/17,232,B
+07DA001,1,2020/02/18,229,B
+07DA001,1,2020/02/19,227,B
+07DA001,1,2020/02/20,225,B
+07DA001,1,2020/02/21,223,B
+07DA001,1,2020/02/22,221,B
+07DA001,1,2020/02/23,220,B
+07DA001,1,2020/02/24,220,B
+07DA001,1,2020/02/25,221,B
+07DA001,1,2020/02/26,221,B
+07DA001,1,2020/02/27,222,B
+07DA001,1,2020/02/28,222,B
+07DA001,1,2020/02/29,223,B
+07DA001,1,2020/03/01,224,B
+07DA001,1,2020/03/02,224,B
+07DA001,1,2020/03/03,225,B
+07DA001,1,2020/03/04,226,B
+07DA001,1,2020/03/05,227,B
+07DA001,1,2020/03/06,227,B
+07DA001,1,2020/03/07,228,B
+07DA001,1,2020/03/08,229,B
+07DA001,1,2020/03/09,229,B
+07DA001,1,2020/03/10,230,B
+07DA001,1,2020/03/11,231,B
+07DA001,1,2020/03/12,232,B
+07DA001,1,2020/03/13,232,B
+07DA001,1,2020/03/14,233,B
+07DA001,1,2020/03/15,233,B
+07DA001,1,2020/03/16,233,B
+07DA001,1,2020/03/17,233,B
+07DA001,1,2020/03/18,232,B
+07DA001,1,2020/03/19,232,B
+07DA001,1,2020/03/20,232,B
+07DA001,1,2020/03/21,232,B
+07DA001,1,2020/03/22,232,B
+07DA001,1,2020/03/23,232,B
+07DA001,1,2020/03/24,232,B
+07DA001,1,2020/03/25,233,B
+07DA001,1,2020/03/26,233,B
+07DA001,1,2020/03/27,234,B
+07DA001,1,2020/03/28,234,B
+07DA001,1,2020/03/29,234,B
+07DA001,1,2020/03/30,235,B
+07DA001,1,2020/03/31,235,B
+07DA001,1,2020/04/01,236,B
+07DA001,1,2020/04/02,236,B
+07DA001,1,2020/04/03,236,B
+07DA001,1,2020/04/04,237,B
+07DA001,1,2020/04/05,238,B
+07DA001,1,2020/04/06,239,B
+07DA001,1,2020/04/07,240,B
+07DA001,1,2020/04/08,240,B
+07DA001,1,2020/04/09,241,B
+07DA001,1,2020/04/10,241,B
+07DA001,1,2020/04/11,242,B
+07DA001,1,2020/04/12,242,B
+07DA001,1,2020/04/13,242,B
+07DA001,1,2020/04/14,243,B
+07DA001,1,2020/04/15,243,B
+07DA001,1,2020/04/16,245,B
+07DA001,1,2020/04/17,258,B
+07DA001,1,2020/04/18,274,B
+07DA001,1,2020/04/19,289,B
+07DA001,1,2020/04/20,309,B
+07DA001,1,2020/04/21,401,B
+07DA001,1,2020/04/22,518,B
+07DA001,1,2020/04/23,632,B
+07DA001,1,2020/04/24,744,B
+07DA001,1,2020/04/25,1060,B
+07DA001,1,2020/05/04,1940,A
+07DA001,1,2020/05/05,1810,
+07DA001,1,2020/05/06,1680,
+07DA001,1,2020/05/07,1630,
+07DA001,1,2020/05/08,1780,
+07DA001,1,2020/05/09,1850,
+07DA001,1,2020/05/10,1810,
+07DA001,1,2020/05/11,1710,
+07DA001,1,2020/05/12,1610,
+07DA001,1,2020/05/13,1540,
+07DA001,1,2020/05/14,1450,
+07DA001,1,2020/05/15,1340,
+07DA001,1,2020/05/16,1260,
+07DA001,1,2020/05/17,1200,
+07DA001,1,2020/05/18,1130,
+07DA001,1,2020/05/19,1080,
+07DA001,1,2020/05/20,1030,
+07DA001,1,2020/05/21,1010,
+07DA001,1,2020/05/22,1070,
+07DA001,1,2020/05/23,1370,
+07DA001,1,2020/05/24,1470,
+07DA001,1,2020/05/25,2170,
+07DA001,1,2020/05/26,3200,
+07DA001,1,2020/05/27,3260,
+07DA001,1,2020/05/28,2850,
+07DA001,1,2020/05/29,2520,
+07DA001,1,2020/05/30,2340,
+07DA001,1,2020/05/31,2210,
+07DA001,1,2020/06/01,2120,
+07DA001,1,2020/06/02,2000,
+07DA001,1,2020/06/03,1900,
+07DA001,1,2020/06/04,1910,
+07DA001,1,2020/06/05,2200,
+07DA001,1,2020/06/06,2420,
+07DA001,1,2020/06/07,2480,
+07DA001,1,2020/06/08,2870,
+07DA001,1,2020/06/09,3150,
+07DA001,1,2020/06/10,3310,
+07DA001,1,2020/06/11,3380,
+07DA001,1,2020/06/12,3410,
+07DA001,1,2020/06/13,3280,
+07DA001,1,2020/06/14,3030,
+07DA001,1,2020/06/15,2800,
+07DA001,1,2020/06/16,2630,
+07DA001,1,2020/06/17,2640,
+07DA001,1,2020/06/18,3050,
+07DA001,1,2020/06/19,3050,
+07DA001,1,2020/06/20,2760,
+07DA001,1,2020/06/21,2480,
+07DA001,1,2020/06/22,2260,
+07DA001,1,2020/06/23,2080,
+07DA001,1,2020/06/24,1980,
+07DA001,1,2020/06/25,1960,
+07DA001,1,2020/06/26,1960,
+07DA001,1,2020/06/27,1930,
+07DA001,1,2020/06/28,1950,
+07DA001,1,2020/06/29,2090,
+07DA001,1,2020/06/30,2120,
+07DA001,1,2020/07/01,2090,
+07DA001,1,2020/07/02,2180,
+07DA001,1,2020/07/03,2230,
+07DA001,1,2020/07/04,2320,
+07DA001,1,2020/07/05,3030,
+07DA001,1,2020/07/06,3980,
+07DA001,1,2020/07/07,4380,
+07DA001,1,2020/07/08,3860,
+07DA001,1,2020/07/09,3230,
+07DA001,1,2020/07/10,2860,
+07DA001,1,2020/07/11,2670,
+07DA001,1,2020/07/12,2630,
+07DA001,1,2020/07/13,2710,
+07DA001,1,2020/07/14,2700,
+07DA001,1,2020/07/15,2560,
+07DA001,1,2020/07/16,2400,
+07DA001,1,2020/07/17,2340,
+07DA001,1,2020/07/18,2370,
+07DA001,1,2020/07/19,2320,
+07DA001,1,2020/07/20,2230,
+07DA001,1,2020/07/21,2190,
+07DA001,1,2020/07/22,2260,
+07DA001,1,2020/07/23,2240,
+07DA001,1,2020/07/24,2200,
+07DA001,1,2020/07/25,2150,
+07DA001,1,2020/07/26,2090,
+07DA001,1,2020/07/27,2050,
+07DA001,1,2020/07/28,2070,
+07DA001,1,2020/07/29,2070,
+07DA001,1,2020/07/30,2010,
+07DA001,1,2020/07/31,1880,
+07DA001,1,2020/08/01,1770,
+07DA001,1,2020/08/02,1710,
+07DA001,1,2020/08/03,1740,
+07DA001,1,2020/08/04,1730,
+07DA001,1,2020/08/05,1670,
+07DA001,1,2020/08/06,1610,
+07DA001,1,2020/08/07,1570,
+07DA001,1,2020/08/08,1560,
+07DA001,1,2020/08/09,1540,
+07DA001,1,2020/08/10,1470,
+07DA001,1,2020/08/11,1400,
+07DA001,1,2020/08/12,1350,
+07DA001,1,2020/08/13,1330,
+07DA001,1,2020/08/14,1290,
+07DA001,1,2020/08/15,1220,
+07DA001,1,2020/08/16,1150,
+07DA001,1,2020/08/17,1090,
+07DA001,1,2020/08/18,1050,
+07DA001,1,2020/08/19,1020,
+07DA001,1,2020/08/20,982,
+07DA001,1,2020/08/21,945,
+07DA001,1,2020/08/22,965,
+07DA001,1,2020/08/23,1100,
+07DA001,1,2020/08/24,1210,
+07DA001,1,2020/08/25,1250,
+07DA001,1,2020/08/26,1240,
+07DA001,1,2020/08/27,1220,
+07DA001,1,2020/08/28,1190,
+07DA001,1,2020/08/29,1210,
+07DA001,1,2020/08/30,1200,
+07DA001,1,2020/08/31,1180,
+07DA001,1,2020/09/01,1160,
+07DA001,1,2020/09/02,1130,
+07DA001,1,2020/09/03,1110,
+07DA001,1,2020/09/04,1080,
+07DA001,1,2020/09/05,1070,
+07DA001,1,2020/09/06,1060,
+07DA001,1,2020/09/07,1030,
+07DA001,1,2020/09/08,1000,
+07DA001,1,2020/09/09,1000,
+07DA001,1,2020/09/10,1010,
+07DA001,1,2020/09/11,1010,
+07DA001,1,2020/09/12,1020,
+07DA001,1,2020/09/13,1040,
+07DA001,1,2020/09/14,1060,
+07DA001,1,2020/09/15,1030,
+07DA001,1,2020/09/16,977,
+07DA001,1,2020/09/17,944,
+07DA001,1,2020/09/18,923,
+07DA001,1,2020/09/19,913,
+07DA001,1,2020/09/20,899,
+07DA001,1,2020/09/21,877,
+07DA001,1,2020/09/22,854,
+07DA001,1,2020/09/23,831,
+07DA001,1,2020/09/24,825,
+07DA001,1,2020/09/25,841,
+07DA001,1,2020/09/26,847,
+07DA001,1,2020/09/27,841,
+07DA001,1,2020/09/28,831,
+07DA001,1,2020/09/29,814,
+07DA001,1,2020/09/30,791,
+07DA001,1,2020/10/01,778,
+07DA001,1,2020/10/02,787,
+07DA001,1,2020/10/03,766,
+07DA001,1,2020/10/04,744,
+07DA001,1,2020/10/05,714,
+07DA001,1,2020/10/06,699,
+07DA001,1,2020/10/07,700,
+07DA001,1,2020/10/08,716,
+07DA001,1,2020/10/09,718,
+07DA001,1,2020/10/10,717,
+07DA001,1,2020/10/11,773,
+07DA001,1,2020/10/12,843,
+07DA001,1,2020/10/13,864,
+07DA001,1,2020/10/14,864,
+07DA001,1,2020/10/15,855,
+07DA001,1,2020/10/16,825,B
+07DA001,1,2020/10/17,795,B
+07DA001,1,2020/10/18,765,B
+07DA001,1,2020/10/19,735,B
+07DA001,1,2020/10/20,705,B
+07DA001,1,2020/10/21,675,B
+07DA001,1,2020/10/22,645,B
+07DA001,1,2020/10/23,615,B
+07DA001,1,2020/10/24,585,B
+07DA001,1,2020/10/25,555,B
+07DA001,1,2020/10/26,533,B
+07DA001,1,2020/10/27,528,B
+07DA001,1,2020/10/28,520,B
+07DA001,1,2020/10/29,506,B
+07DA001,1,2020/10/30,492,B
+07DA001,1,2020/10/31,485,B
+07DA001,1,2020/11/01,479,B
+07DA001,1,2020/11/02,483,B
+07DA001,1,2020/11/03,497,B
+07DA001,1,2020/11/04,502,B
+07DA001,1,2020/11/05,498,B
+07DA001,1,2020/11/06,495,B
+07DA001,1,2020/11/07,492,B
+07DA001,1,2020/11/08,486,B
+07DA001,1,2020/11/09,477,B
+07DA001,1,2020/11/10,469,B
+07DA001,1,2020/11/11,460,B
+07DA001,1,2020/11/12,451,B
+07DA001,1,2020/11/13,442,B
+07DA001,1,2020/11/14,434,B
+07DA001,1,2020/11/15,425,B
+07DA001,1,2020/11/16,416,B
+07DA001,1,2020/11/17,408,B
+07DA001,1,2020/11/18,399,B
+07DA001,1,2020/11/19,390,B
+07DA001,1,2020/11/20,382,B
+07DA001,1,2020/11/21,373,B
+07DA001,1,2020/11/22,364,B
+07DA001,1,2020/11/23,356,B
+07DA001,1,2020/11/24,347,B
+07DA001,1,2020/11/25,338,B
+07DA001,1,2020/11/26,331,B
+07DA001,1,2020/11/27,328,B
+07DA001,1,2020/11/28,327,B
+07DA001,1,2020/11/29,325,B
+07DA001,1,2020/11/30,324,B
+07DA001,1,2020/12/01,322,B
+07DA001,1,2020/12/02,321,B
+07DA001,1,2020/12/03,319,B
+07DA001,1,2020/12/04,317,B
+07DA001,1,2020/12/05,316,B
+07DA001,1,2020/12/06,314,B
+07DA001,1,2020/12/07,313,B
+07DA001,1,2020/12/08,311,B
+07DA001,1,2020/12/09,310,B
+07DA001,1,2020/12/10,307,B
+07DA001,1,2020/12/11,303,B
+07DA001,1,2020/12/12,300,B
+07DA001,1,2020/12/13,296,B
+07DA001,1,2020/12/14,292,B
+07DA001,1,2020/12/15,288,B
+07DA001,1,2020/12/16,284,B
+07DA001,1,2020/12/17,280,B
+07DA001,1,2020/12/18,276,B
+07DA001,1,2020/12/19,272,B
+07DA001,1,2020/12/20,268,B
+07DA001,1,2020/12/21,264,B
+07DA001,1,2020/12/22,262,B
+07DA001,1,2020/12/23,261,B
+07DA001,1,2020/12/24,260,B
+07DA001,1,2020/12/25,258,B
+07DA001,1,2020/12/26,257,B
+07DA001,1,2020/12/27,256,B
+07DA001,1,2020/12/28,255,B
+07DA001,1,2020/12/29,254,B
+07DA001,1,2020/12/30,253,B
+07DA001,1,2020/12/31,251,B
+07DA001,1,2021/01/01,250,B
+07DA001,1,2021/01/02,249,B
+07DA001,1,2021/01/03,248,B
+07DA001,1,2021/01/04,247,B
+07DA001,1,2021/01/05,246,B
+07DA001,1,2021/01/06,245,B
+07DA001,1,2021/01/07,243,B
+07DA001,1,2021/01/08,242,B
+07DA001,1,2021/01/09,241,B
+07DA001,1,2021/01/10,240,B
+07DA001,1,2021/01/11,240,B
+07DA001,1,2021/01/12,239,B
+07DA001,1,2021/01/13,239,B
+07DA001,1,2021/01/14,238,B
+07DA001,1,2021/01/15,237,B
+07DA001,1,2021/01/16,237,B
+07DA001,1,2021/01/17,236,B
+07DA001,1,2021/01/18,236,B
+07DA001,1,2021/01/19,235,B
+07DA001,1,2021/01/20,234,B
+07DA001,1,2021/01/21,233,B
+07DA001,1,2021/01/22,232,B
+07DA001,1,2021/01/23,231,B
+07DA001,1,2021/01/24,230,B
+07DA001,1,2021/01/25,229,B
+07DA001,1,2021/01/26,228,B
+07DA001,1,2021/01/27,227,B
+07DA001,1,2021/01/28,226,B
+07DA001,1,2021/01/29,222,B
+07DA001,1,2021/01/30,217,B
+07DA001,1,2021/01/31,212,B
+07DA001,1,2021/02/01,209,B
+07DA001,1,2021/02/02,207,B
+07DA001,1,2021/02/03,206,B
+07DA001,1,2021/02/04,204,B
+07DA001,1,2021/02/05,203,B
+07DA001,1,2021/02/06,202,B
+07DA001,1,2021/02/07,201,B
+07DA001,1,2021/02/08,201,B
+07DA001,1,2021/02/09,200,B
+07DA001,1,2021/02/10,199,B
+07DA001,1,2021/02/11,199,B
+07DA001,1,2021/02/12,199,B
+07DA001,1,2021/02/13,199,B
+07DA001,1,2021/02/14,198,B
+07DA001,1,2021/02/15,198,B
+07DA001,1,2021/02/16,198,B
+07DA001,1,2021/02/17,198,B
+07DA001,1,2021/02/18,198,B
+07DA001,1,2021/02/19,198,B
+07DA001,1,2021/02/20,197,B
+07DA001,1,2021/02/21,197,B
+07DA001,1,2021/02/22,197,B
+07DA001,1,2021/02/23,197,B
+07DA001,1,2021/02/24,197,B
+07DA001,1,2021/02/25,197,B
+07DA001,1,2021/02/26,198,B
+07DA001,1,2021/02/27,198,B
+07DA001,1,2021/02/28,199,B
+07DA001,1,2021/03/01,201,B
+07DA001,1,2021/03/02,202,B
+07DA001,1,2021/03/03,204,B
+07DA001,1,2021/03/04,205,B
+07DA001,1,2021/03/05,207,B
+07DA001,1,2021/03/06,208,B
+07DA001,1,2021/03/07,210,B
+07DA001,1,2021/03/08,210,B
+07DA001,1,2021/03/09,211,B
+07DA001,1,2021/03/10,212,B
+07DA001,1,2021/03/11,213,B
+07DA001,1,2021/03/12,213,B
+07DA001,1,2021/03/13,214,B
+07DA001,1,2021/03/14,215,B
+07DA001,1,2021/03/15,215,B
+07DA001,1,2021/03/16,216,B
+07DA001,1,2021/03/17,217,B
+07DA001,1,2021/03/18,218,B
+07DA001,1,2021/03/19,221,B
+07DA001,1,2021/03/20,223,B
+07DA001,1,2021/03/21,226,B
+07DA001,1,2021/03/22,229,B
+07DA001,1,2021/03/23,232,B
+07DA001,1,2021/03/24,235,B
+07DA001,1,2021/03/25,238,B
+07DA001,1,2021/03/26,241,B
+07DA001,1,2021/03/27,244,B
+07DA001,1,2021/03/28,247,B
+07DA001,1,2021/03/29,250,B
+07DA001,1,2021/03/30,253,B
+07DA001,1,2021/03/31,256,B
+07DA001,1,2021/04/01,259,B
+07DA001,1,2021/04/02,262,B
+07DA001,1,2021/04/03,265,B
+07DA001,1,2021/04/04,268,B
+07DA001,1,2021/04/05,273,B
+07DA001,1,2021/04/06,279,B
+07DA001,1,2021/04/07,286,B
+07DA001,1,2021/04/08,293,B
+07DA001,1,2021/04/09,301,B
+07DA001,1,2021/04/10,312,B
+07DA001,1,2021/04/11,322,B
+07DA001,1,2021/04/12,332,B
+07DA001,1,2021/04/13,342,B
+07DA001,1,2021/04/14,353,B
+07DA001,1,2021/04/15,363,B
+07DA001,1,2021/04/16,374,B
+07DA001,1,2021/04/17,402,B
+07DA001,1,2021/04/18,446,B
+07DA001,1,2021/04/19,512,B
+07DA001,1,2021/04/20,635,B
+07DA001,1,2021/04/21,724,B
+07DA001,1,2021/04/22,746,B
+07DA001,1,2021/04/23,727,B
+07DA001,1,2021/04/24,697,B
+07DA001,1,2021/04/25,650,B
+07DA001,1,2021/04/26,619,B
+07DA001,1,2021/04/27,606,B
+07DA001,1,2021/04/28,609,B
+07DA001,1,2021/04/29,614,B
+07DA001,1,2021/04/30,613,B
+07DA001,1,2021/05/01,599,B
+07DA001,1,2021/05/02,587,B
+07DA001,1,2021/05/03,585,B
+07DA001,1,2021/05/04,593,B
+07DA001,1,2021/05/05,602,B
+07DA001,1,2021/05/06,611,B
+07DA001,1,2021/05/07,625,B
+07DA001,1,2021/05/08,642,
+07DA001,1,2021/05/09,660,
+07DA001,1,2021/05/10,664,
+07DA001,1,2021/05/11,660,
+07DA001,1,2021/05/12,664,
+07DA001,1,2021/05/13,697,
+07DA001,1,2021/05/14,770,
+07DA001,1,2021/05/15,806,
+07DA001,1,2021/05/16,795,
+07DA001,1,2021/05/17,779,
+07DA001,1,2021/05/18,788,
+07DA001,1,2021/05/19,814,
+07DA001,1,2021/05/20,871,
+07DA001,1,2021/05/21,941,
+07DA001,1,2021/05/22,1010,
+07DA001,1,2021/05/23,1340,
+07DA001,1,2021/05/24,1490,
+07DA001,1,2021/05/25,1390,
+07DA001,1,2021/05/26,1280,
+07DA001,1,2021/05/27,1190,
+07DA001,1,2021/05/28,1150,
+07DA001,1,2021/05/29,1230,
+07DA001,1,2021/05/30,1480,
+07DA001,1,2021/05/31,1810,
+07DA001,1,2021/06/01,1870,
+07DA001,1,2021/06/02,1830,
+07DA001,1,2021/06/03,1720,
+07DA001,1,2021/06/04,1560,
+07DA001,1,2021/06/05,1450,
+07DA001,1,2021/06/06,1430,
+07DA001,1,2021/06/07,1580,
+07DA001,1,2021/06/08,1710,
+07DA001,1,2021/06/09,1730,
+07DA001,1,2021/06/10,1700,
+07DA001,1,2021/06/11,1690,
+07DA001,1,2021/06/12,1690,
+07DA001,1,2021/06/13,1620,
+07DA001,1,2021/06/14,1610,
+07DA001,1,2021/06/15,1550,
+07DA001,1,2021/06/16,1490,
+07DA001,1,2021/06/17,1420,
+07DA001,1,2021/06/18,1400,
+07DA001,1,2021/06/19,1400,
+07DA001,1,2021/06/20,1440,
+07DA001,1,2021/06/21,1570,
+07DA001,1,2021/06/22,1550,
+07DA001,1,2021/06/23,1450,
+07DA001,1,2021/06/24,1370,
+07DA001,1,2021/06/25,1320,
+07DA001,1,2021/06/26,1320,
+07DA001,1,2021/06/27,1320,
+07DA001,1,2021/06/28,1360,
+07DA001,1,2021/06/29,1390,
+07DA001,1,2021/06/30,1360,
+07DA001,1,2021/07/01,1340,
+07DA001,1,2021/07/02,1370,
+07DA001,1,2021/07/03,1390,
+07DA001,1,2021/07/04,1400,
+07DA001,1,2021/07/05,1410,
+07DA001,1,2021/07/06,1380,
+07DA001,1,2021/07/07,1360,
+07DA001,1,2021/07/08,1330,
+07DA001,1,2021/07/09,1230,
+07DA001,1,2021/07/10,1120,
+07DA001,1,2021/07/11,1050,
+07DA001,1,2021/07/12,1000,
+07DA001,1,2021/07/13,960,
+07DA001,1,2021/07/14,925,
+07DA001,1,2021/07/15,906,
+07DA001,1,2021/07/16,890,
+07DA001,1,2021/07/17,880,
+07DA001,1,2021/07/18,856,
+07DA001,1,2021/07/19,818,
+07DA001,1,2021/07/20,789,
+07DA001,1,2021/07/21,778,
+07DA001,1,2021/07/22,773,
+07DA001,1,2021/07/23,777,
+07DA001,1,2021/07/24,784,
+07DA001,1,2021/07/25,772,
+07DA001,1,2021/07/26,763,
+07DA001,1,2021/07/27,749,
+07DA001,1,2021/07/28,722,
+07DA001,1,2021/07/29,682,
+07DA001,1,2021/07/30,640,
+07DA001,1,2021/07/31,616,
+07DA001,1,2021/08/01,604,
+07DA001,1,2021/08/02,599,
+07DA001,1,2021/08/03,603,
+07DA001,1,2021/08/04,603,
+07DA001,1,2021/08/05,596,
+07DA001,1,2021/08/06,599,
+07DA001,1,2021/08/07,601,
+07DA001,1,2021/08/08,616,
+07DA001,1,2021/08/09,620,
+07DA001,1,2021/08/10,628,
+07DA001,1,2021/08/11,624,
+07DA001,1,2021/08/12,617,
+07DA001,1,2021/08/13,610,
+07DA001,1,2021/08/14,606,
+07DA001,1,2021/08/15,572,
+07DA001,1,2021/08/16,538,
+07DA001,1,2021/08/17,524,
+07DA001,1,2021/08/18,536,
+07DA001,1,2021/08/19,546,
+07DA001,1,2021/08/20,529,
+07DA001,1,2021/08/21,521,
+07DA001,1,2021/08/22,529,
+07DA001,1,2021/08/23,564,
+07DA001,1,2021/08/24,555,
+07DA001,1,2021/08/25,514,
+07DA001,1,2021/08/26,479,
+07DA001,1,2021/08/27,479,
+07DA001,1,2021/08/28,485,
+07DA001,1,2021/08/29,501,
+07DA001,1,2021/08/30,534,
+07DA001,1,2021/08/31,548,
+07DA001,1,2021/09/01,543,
+07DA001,1,2021/09/02,516,
+07DA001,1,2021/09/03,492,
+07DA001,1,2021/09/04,486,
+07DA001,1,2021/09/05,483,
+07DA001,1,2021/09/06,553,
+07DA001,1,2021/09/07,846,
+07DA001,1,2021/09/08,852,
+07DA001,1,2021/09/09,765,
+07DA001,1,2021/09/10,705,
+07DA001,1,2021/09/11,662,
+07DA001,1,2021/09/12,676,
+07DA001,1,2021/09/13,670,
+07DA001,1,2021/09/14,629,
+07DA001,1,2021/09/15,608,
+07DA001,1,2021/09/16,618,
+07DA001,1,2021/09/17,609,
+07DA001,1,2021/09/18,593,
+07DA001,1,2021/09/19,584,
+07DA001,1,2021/09/20,573,
+07DA001,1,2021/09/21,535,
+07DA001,1,2021/09/22,518,
+07DA001,1,2021/09/23,514,
+07DA001,1,2021/09/24,488,
+07DA001,1,2021/09/25,473,
+07DA001,1,2021/09/26,489,
+07DA001,1,2021/09/27,492,
+07DA001,1,2021/09/28,467,
+07DA001,1,2021/09/29,448,
+07DA001,1,2021/09/30,455,
+07DA001,1,2021/10/01,461,
+07DA001,1,2021/10/02,442,
+07DA001,1,2021/10/03,441,
+07DA001,1,2021/10/04,451,
+07DA001,1,2021/10/05,478,
+07DA001,1,2021/10/06,475,
+07DA001,1,2021/10/07,446,
+07DA001,1,2021/10/08,438,
+07DA001,1,2021/10/09,435,
+07DA001,1,2021/10/10,420,
+07DA001,1,2021/10/11,413,
+07DA001,1,2021/10/12,402,
+07DA001,1,2021/10/13,396,
+07DA001,1,2021/10/14,402,
+07DA001,1,2021/10/15,398,
+07DA001,1,2021/10/16,386,
+07DA001,1,2021/10/17,373,
+07DA001,1,2021/10/18,370,
+07DA001,1,2021/10/19,365,
+07DA001,1,2021/10/20,354,
+07DA001,1,2021/10/21,345,
+07DA001,1,2021/10/22,338,
+07DA001,1,2021/10/23,335,
+07DA001,1,2021/10/24,330,
+07DA001,1,2021/10/25,326,
+07DA001,1,2021/10/26,349,
+07DA001,1,2021/10/27,352,
+07DA001,1,2021/10/28,352,
+07DA001,1,2021/10/29,349,
+07DA001,1,2021/10/30,340,
+07DA001,1,2021/10/31,333,
+07DA001,1,2021/11/01,331,
+07DA001,1,2021/11/02,316,B
+07DA001,1,2021/11/03,312,B
+07DA001,1,2021/11/04,305,B
+07DA001,1,2021/11/05,312,B
+07DA001,1,2021/11/06,295,B
+07DA001,1,2021/11/07,271,B
+07DA001,1,2021/11/08,265,B
+07DA001,1,2021/11/09,268,B
+07DA001,1,2021/11/10,259,B
+07DA001,1,2021/11/11,266,B
+07DA001,1,2021/11/12,256,B
+07DA001,1,2021/11/13,239,B
+07DA001,1,2021/11/14,222,B
+07DA001,1,2021/11/15,206,B
+07DA001,1,2021/11/16,196,B
+07DA001,1,2021/11/17,191,B
+07DA001,1,2021/11/18,186,B
+07DA001,1,2021/11/19,182,B
+07DA001,1,2021/11/20,181,B
+07DA001,1,2021/11/21,178,B
+07DA001,1,2021/11/22,178,B
+07DA001,1,2021/11/23,181,B
+07DA001,1,2021/11/24,187,B
+07DA001,1,2021/11/25,195,B
+07DA001,1,2021/11/26,203,B
+07DA001,1,2021/11/27,206,B
+07DA001,1,2021/11/28,205,B
+07DA001,1,2021/11/29,204,B
+07DA001,1,2021/11/30,202,B
+07DA001,1,2021/12/01,200,B
+07DA001,1,2021/12/02,197,B
+07DA001,1,2021/12/03,193,B
+07DA001,1,2021/12/04,190,B
+07DA001,1,2021/12/05,186,B
+07DA001,1,2021/12/06,183,B
+07DA001,1,2021/12/07,181,B
+07DA001,1,2021/12/08,180,B
+07DA001,1,2021/12/09,179,B
+07DA001,1,2021/12/10,177,B
+07DA001,1,2021/12/11,177,B
+07DA001,1,2021/12/12,178,B
+07DA001,1,2021/12/13,179,B
+07DA001,1,2021/12/14,181,B
+07DA001,1,2021/12/15,182,B
+07DA001,1,2021/12/16,183,B
+07DA001,1,2021/12/17,184,B
+07DA001,1,2021/12/18,184,B
+07DA001,1,2021/12/19,185,B
+07DA001,1,2021/12/20,185,B
+07DA001,1,2021/12/21,185,B
+07DA001,1,2021/12/22,185,B
+07DA001,1,2021/12/23,185,B
+07DA001,1,2021/12/24,182,B
+07DA001,1,2021/12/25,178,B
+07DA001,1,2021/12/26,175,B
+07DA001,1,2021/12/27,172,B
+07DA001,1,2021/12/28,171,B
+07DA001,1,2021/12/29,170,B
+07DA001,1,2021/12/30,170,B
+07DA001,1,2021/12/31,170,B
+07DA001,1,2022/01/01,170,B
+07DA001,1,2022/01/02,170,B
+07DA001,1,2022/01/03,169,B
+07DA001,1,2022/01/04,168,B
+07DA001,1,2022/01/05,166,B
+07DA001,1,2022/01/06,164,B
+07DA001,1,2022/01/07,162,B
+07DA001,1,2022/01/08,161,B
+07DA001,1,2022/01/09,159,B
+07DA001,1,2022/01/10,158,B
+07DA001,1,2022/01/11,157,B
+07DA001,1,2022/01/12,156,B
+07DA001,1,2022/01/13,156,B
+07DA001,1,2022/01/14,156,B
+07DA001,1,2022/01/15,156,B
+07DA001,1,2022/01/16,156,B
+07DA001,1,2022/01/17,156,B
+07DA001,1,2022/01/18,156,B
+07DA001,1,2022/01/19,156,B
+07DA001,1,2022/01/20,156,B
+07DA001,1,2022/01/21,155,B
+07DA001,1,2022/01/22,155,B
+07DA001,1,2022/01/23,155,B
+07DA001,1,2022/01/24,155,B
+07DA001,1,2022/01/25,155,B
+07DA001,1,2022/01/26,155,B
+07DA001,1,2022/01/27,154,B
+07DA001,1,2022/01/28,154,B
+07DA001,1,2022/01/29,154,B
+07DA001,1,2022/01/30,154,B
+07DA001,1,2022/01/31,154,B
+07DA001,1,2022/02/01,154,B
+07DA001,1,2022/02/02,154,B
+07DA001,1,2022/02/03,153,B
+07DA001,1,2022/02/04,153,B
+07DA001,1,2022/02/05,153,B
+07DA001,1,2022/02/06,153,B
+07DA001,1,2022/02/07,153,B
+07DA001,1,2022/02/08,153,B
+07DA001,1,2022/02/09,152,B
+07DA001,1,2022/02/10,152,B
+07DA001,1,2022/02/11,152,B
+07DA001,1,2022/02/12,152,B
+07DA001,1,2022/02/13,152,B
+07DA001,1,2022/02/14,152,B
+07DA001,1,2022/02/15,152,B
+07DA001,1,2022/02/16,151,B
+07DA001,1,2022/02/17,151,B
+07DA001,1,2022/02/18,151,B
+07DA001,1,2022/02/19,151,B
+07DA001,1,2022/02/20,151,B
+07DA001,1,2022/02/21,151,B
+07DA001,1,2022/02/22,150,B
+07DA001,1,2022/02/23,150,B
+07DA001,1,2022/02/24,150,B
+07DA001,1,2022/02/25,150,B
+07DA001,1,2022/02/26,150,B
+07DA001,1,2022/02/27,150,B
+07DA001,1,2022/02/28,150,B
+07DA001,1,2022/03/01,150,B
+07DA001,1,2022/03/02,150,B
+07DA001,1,2022/03/03,150,B
+07DA001,1,2022/03/04,150,B
+07DA001,1,2022/03/05,151,B
+07DA001,1,2022/03/06,151,B
+07DA001,1,2022/03/07,152,B
+07DA001,1,2022/03/08,153,B
+07DA001,1,2022/03/09,155,B
+07DA001,1,2022/03/10,157,B
+07DA001,1,2022/03/11,159,B
+07DA001,1,2022/03/12,161,B
+07DA001,1,2022/03/13,163,B
+07DA001,1,2022/03/14,165,B
+07DA001,1,2022/03/15,168,B
+07DA001,1,2022/03/16,170,B
+07DA001,1,2022/03/17,173,B
+07DA001,1,2022/03/18,175,B
+07DA001,1,2022/03/19,178,B
+07DA001,1,2022/03/20,180,B
+07DA001,1,2022/03/21,183,B
+07DA001,1,2022/03/22,185,B
+07DA001,1,2022/03/23,188,B
+07DA001,1,2022/03/24,190,B
+07DA001,1,2022/03/25,191,B
+07DA001,1,2022/03/26,192,B
+07DA001,1,2022/03/27,193,B
+07DA001,1,2022/03/28,197,B
+07DA001,1,2022/03/29,203,B
+07DA001,1,2022/03/30,209,B
+07DA001,1,2022/03/31,215,B
+07DA001,1,2022/04/01,222,B
+07DA001,1,2022/04/02,229,B
+07DA001,1,2022/04/03,243,B
+07DA001,1,2022/04/04,258,B
+07DA001,1,2022/04/05,272,B
+07DA001,1,2022/04/06,287,B
+07DA001,1,2022/04/07,302,B
+07DA001,1,2022/04/08,317,B
+07DA001,1,2022/04/09,331,B
+07DA001,1,2022/04/10,346,B
+07DA001,1,2022/04/11,361,B
+07DA001,1,2022/04/12,375,B
+07DA001,1,2022/04/13,389,B
+07DA001,1,2022/04/14,398,B
+07DA001,1,2022/04/15,406,B
+07DA001,1,2022/04/16,414,B
+07DA001,1,2022/04/17,422,B
+07DA001,1,2022/04/18,430,B
+07DA001,1,2022/04/19,438,B
+07DA001,1,2022/04/20,447,B
+07DA001,1,2022/04/21,474,B
+07DA001,1,2022/04/22,510,B
+07DA001,1,2022/04/23,546,B
+07DA001,1,2022/04/24,582,B
+07DA001,1,2022/04/25,614,B
+07DA001,1,2022/04/26,627,B
+07DA001,1,2022/04/27,638,B
+07DA001,1,2022/04/28,650,B
+07DA001,1,2022/04/29,669,
+07DA001,1,2022/04/30,713,
+07DA001,1,2022/05/01,796,
+07DA001,1,2022/05/02,901,
+07DA001,1,2022/05/03,1000,
+07DA001,1,2022/05/04,1040,
+07DA001,1,2022/05/05,1070,
+07DA001,1,2022/05/06,1130,
+07DA001,1,2022/05/07,1230,
+07DA001,1,2022/05/08,1360,
+07DA001,1,2022/05/09,1460,
+07DA001,1,2022/05/10,1530,
+07DA001,1,2022/05/11,1540,
+07DA001,1,2022/05/12,1480,
+07DA001,1,2022/05/13,1420,
+07DA001,1,2022/05/14,1350,
+07DA001,1,2022/05/15,1290,
+07DA001,1,2022/05/16,1240,
+07DA001,1,2022/05/17,1210,
+07DA001,1,2022/05/18,1200,
+07DA001,1,2022/05/19,1200,
+07DA001,1,2022/05/20,1180,
+07DA001,1,2022/05/21,1160,
+07DA001,1,2022/05/22,1160,
+07DA001,1,2022/05/23,1130,
+07DA001,1,2022/05/24,1100,
+07DA001,1,2022/05/25,1100,
+07DA001,1,2022/05/26,1090,
+07DA001,1,2022/05/27,1060,
+07DA001,1,2022/05/28,1030,
+07DA001,1,2022/05/29,1030,
+07DA001,1,2022/05/30,1030,
+07DA001,1,2022/05/31,1030,
+07DA001,1,2022/06/01,1010,
+07DA001,1,2022/06/02,986,
+07DA001,1,2022/06/03,980,
+07DA001,1,2022/06/04,967,
+07DA001,1,2022/06/05,939,
+07DA001,1,2022/06/06,899,
+07DA001,1,2022/06/07,867,
+07DA001,1,2022/06/08,854,
+07DA001,1,2022/06/09,878,
+07DA001,1,2022/06/10,925,
+07DA001,1,2022/06/11,1030,
+07DA001,1,2022/06/12,1140,
+07DA001,1,2022/06/13,1240,
+07DA001,1,2022/06/14,1250,
+07DA001,1,2022/06/15,1250,
+07DA001,1,2022/06/16,1260,
+07DA001,1,2022/06/17,1270,
+07DA001,1,2022/06/18,1270,
+07DA001,1,2022/06/19,1280,
+07DA001,1,2022/06/20,1450,
+07DA001,1,2022/06/21,1640,
+07DA001,1,2022/06/22,1730,
+07DA001,1,2022/06/23,1740,
+07DA001,1,2022/06/24,1670,
+07DA001,1,2022/06/25,1600,
+07DA001,1,2022/06/26,1570,
+07DA001,1,2022/06/27,1650,
+07DA001,1,2022/06/28,1980,
+07DA001,1,2022/06/29,2010,
+07DA001,1,2022/06/30,1790,
+07DA001,1,2022/07/01,1670,
+07DA001,1,2022/07/02,1800,
+07DA001,1,2022/07/03,2520,
+07DA001,1,2022/07/04,2600,
+07DA001,1,2022/07/05,2330,
+07DA001,1,2022/07/06,2190,
+07DA001,1,2022/07/07,2110,
+07DA001,1,2022/07/08,2010,
+07DA001,1,2022/07/09,2050,
+07DA001,1,2022/07/10,2110,
+07DA001,1,2022/07/11,2050,
+07DA001,1,2022/07/12,1950,
+07DA001,1,2022/07/13,1850,
+07DA001,1,2022/07/14,1720,
+07DA001,1,2022/07/15,1600,
+07DA001,1,2022/07/16,1490,
+07DA001,1,2022/07/17,1420,
+07DA001,1,2022/07/18,1430,
+07DA001,1,2022/07/19,1390,
+07DA001,1,2022/07/20,1290,
+07DA001,1,2022/07/21,1220,
+07DA001,1,2022/07/22,1200,
+07DA001,1,2022/07/23,1160,
+07DA001,1,2022/07/24,1110,
+07DA001,1,2022/07/25,1080,
+07DA001,1,2022/07/26,1050,
+07DA001,1,2022/07/27,1000,
+07DA001,1,2022/07/28,977,
+07DA001,1,2022/07/29,947,
+07DA001,1,2022/07/30,920,
+07DA001,1,2022/07/31,892,
+07DA001,1,2022/08/01,872,
+07DA001,1,2022/08/02,876,
+07DA001,1,2022/08/03,869,
+07DA001,1,2022/08/04,891,
+07DA001,1,2022/08/05,966,
+07DA001,1,2022/08/06,998,
+07DA001,1,2022/08/07,1050,
+07DA001,1,2022/08/08,1110,
+07DA001,1,2022/08/09,1120,
+07DA001,1,2022/08/10,1170,
+07DA001,1,2022/08/11,1130,
+07DA001,1,2022/08/12,1030,
+07DA001,1,2022/08/13,954,
+07DA001,1,2022/08/14,917,
+07DA001,1,2022/08/15,902,
+07DA001,1,2022/08/16,871,
+07DA001,1,2022/08/17,857,
+07DA001,1,2022/08/18,843,
+07DA001,1,2022/08/19,819,
+07DA001,1,2022/08/20,793,
+07DA001,1,2022/08/21,755,
+07DA001,1,2022/08/22,718,
+07DA001,1,2022/08/23,698,
+07DA001,1,2022/08/24,683,
+07DA001,1,2022/08/25,672,
+07DA001,1,2022/08/26,664,
+07DA001,1,2022/08/27,678,
+07DA001,1,2022/08/28,716,
+07DA001,1,2022/08/29,717,
+07DA001,1,2022/08/30,712,
+07DA001,1,2022/08/31,680,
+07DA001,1,2022/09/01,656,
+07DA001,1,2022/09/02,645,
+07DA001,1,2022/09/03,672,
+07DA001,1,2022/09/04,643,
+07DA001,1,2022/09/05,596,
+07DA001,1,2022/09/06,576,
+07DA001,1,2022/09/07,586,
+07DA001,1,2022/09/08,600,
+07DA001,1,2022/09/09,588,
+07DA001,1,2022/09/10,572,
+07DA001,1,2022/09/11,564,
+07DA001,1,2022/09/12,561,
+07DA001,1,2022/09/13,528,
+07DA001,1,2022/09/14,492,
+07DA001,1,2022/09/15,480,
+07DA001,1,2022/09/16,462,
+07DA001,1,2022/09/17,437,
+07DA001,1,2022/09/18,427,
+07DA001,1,2022/09/19,436,
+07DA001,1,2022/09/20,436,
+07DA001,1,2022/09/21,437,
+07DA001,1,2022/09/22,441,
+07DA001,1,2022/09/23,469,
+07DA001,1,2022/09/24,485,
+07DA001,1,2022/09/25,479,
+07DA001,1,2022/09/26,463,
+07DA001,1,2022/09/27,447,
+07DA001,1,2022/09/28,434,
+07DA001,1,2022/09/29,417,
+07DA001,1,2022/09/30,401,
+07DA001,1,2022/10/01,390,
+07DA001,1,2022/10/02,382,
+07DA001,1,2022/10/03,373,
+07DA001,1,2022/10/04,368,
+07DA001,1,2022/10/05,366,
+07DA001,1,2022/10/06,364,
+07DA001,1,2022/10/07,361,
+07DA001,1,2022/10/08,354,
+07DA001,1,2022/10/09,348,
+07DA001,1,2022/10/10,343,
+07DA001,1,2022/10/11,341,
+07DA001,1,2022/10/12,339,
+07DA001,1,2022/10/13,338,
+07DA001,1,2022/10/14,341,
+07DA001,1,2022/10/15,338,
+07DA001,1,2022/10/16,330,
+07DA001,1,2022/10/17,322,
+07DA001,1,2022/10/18,313,
+07DA001,1,2022/10/19,307,
+07DA001,1,2022/10/20,304,
+07DA001,1,2022/10/21,293,
+07DA001,1,2022/10/22,287,
+07DA001,1,2022/10/23,285,
+07DA001,1,2022/10/24,284,
+07DA001,1,2022/10/25,285,
+07DA001,1,2022/10/26,280,
+07DA001,1,2022/10/27,276,
+07DA001,1,2022/10/28,273,
+07DA001,1,2022/10/29,268,
+07DA001,1,2022/10/30,270,
+07DA001,1,2022/10/31,270,
+07DA001,1,2022/11/01,266,
+07DA001,1,2022/11/02,269,
+07DA001,1,2022/11/03,259,B
+07DA001,1,2022/11/04,246,B
+07DA001,1,2022/11/05,249,B
+07DA001,1,2022/11/06,260,B
+07DA001,1,2022/11/07,261,B
+07DA001,1,2022/11/08,259,B
+07DA001,1,2022/11/09,260,B
+07DA001,1,2022/11/10,261,B
+07DA001,1,2022/11/11,257,B
+07DA001,1,2022/11/12,251,B
+07DA001,1,2022/11/13,246,B
+07DA001,1,2022/11/14,241,B
+07DA001,1,2022/11/15,236,B
+07DA001,1,2022/11/16,230,B
+07DA001,1,2022/11/17,225,B
+07DA001,1,2022/11/18,220,B
+07DA001,1,2022/11/19,221,B
+07DA001,1,2022/11/20,225,B
+07DA001,1,2022/11/21,222,B
+07DA001,1,2022/11/22,219,B
+07DA001,1,2022/11/23,220,B
+07DA001,1,2022/11/24,223,B
+07DA001,1,2022/11/25,222,B
+07DA001,1,2022/11/26,216,B
+07DA001,1,2022/11/27,210,B
+07DA001,1,2022/11/28,204,B
+07DA001,1,2022/11/29,199,B
+07DA001,1,2022/11/30,193,B
+07DA001,1,2022/12/01,187,B
+07DA001,1,2022/12/02,181,B
+07DA001,1,2022/12/03,175,B
+07DA001,1,2022/12/04,170,B
+07DA001,1,2022/12/05,164,B
+07DA001,1,2022/12/06,158,B
+07DA001,1,2022/12/07,152,B
+07DA001,1,2022/12/08,147,B
+07DA001,1,2022/12/09,141,B
+07DA001,1,2022/12/10,135,B
+07DA001,1,2022/12/11,129,B
+07DA001,1,2022/12/12,123,B
+07DA001,1,2022/12/13,118,B
+07DA001,1,2022/12/14,118,B
+07DA001,1,2022/12/15,119,B
+07DA001,1,2022/12/16,123,B
+07DA001,1,2022/12/17,133,B
+07DA001,1,2022/12/18,139,B
+07DA001,1,2022/12/19,144,B
+07DA001,1,2022/12/20,148,B
+07DA001,1,2022/12/21,149,B
+07DA001,1,2022/12/22,151,B
+07DA001,1,2022/12/23,153,B
+07DA001,1,2022/12/24,154,B
+07DA001,1,2022/12/25,155,B
+07DA001,1,2022/12/26,154,B
+07DA001,1,2022/12/27,154,B
+07DA001,1,2022/12/28,157,B
+07DA001,1,2022/12/29,157,B
+07DA001,1,2022/12/30,154,B
+07DA001,1,2022/12/31,152,B
+07DA001,1,2023/01/01,149,B
+07DA001,1,2023/01/02,148,B
+07DA001,1,2023/01/03,147,B
+07DA001,1,2023/01/04,148,B
+07DA001,1,2023/01/05,150,B
+07DA001,1,2023/01/06,152,B
+07DA001,1,2023/01/07,154,B
+07DA001,1,2023/01/08,155,B
+07DA001,1,2023/01/09,156,B
+07DA001,1,2023/01/10,156,B
+07DA001,1,2023/01/11,156,B
+07DA001,1,2023/01/12,157,B
+07DA001,1,2023/01/13,157,B
+07DA001,1,2023/01/14,157,B
+07DA001,1,2023/01/15,157,B
+07DA001,1,2023/01/16,158,B
+07DA001,1,2023/01/17,158,B
+07DA001,1,2023/01/18,158,B
+07DA001,1,2023/01/19,159,B
+07DA001,1,2023/01/20,159,B
+07DA001,1,2023/01/21,159,B
+07DA001,1,2023/01/22,159,B
+07DA001,1,2023/01/23,159,B
+07DA001,1,2023/01/24,159,B
+07DA001,1,2023/01/25,159,B
+07DA001,1,2023/01/26,160,B
+07DA001,1,2023/01/27,160,B
+07DA001,1,2023/01/28,159,B
+07DA001,1,2023/01/29,157,B
+07DA001,1,2023/01/30,156,B
+07DA001,1,2023/01/31,154,B
+07DA001,1,2023/02/01,153,B
+07DA001,1,2023/02/02,152,B
+07DA001,1,2023/02/03,153,B
+07DA001,1,2023/02/04,153,B
+07DA001,1,2023/02/05,153,B
+07DA001,1,2023/02/06,153,B
+07DA001,1,2023/02/07,153,B
+07DA001,1,2023/02/08,154,B
+07DA001,1,2023/02/09,154,B
+07DA001,1,2023/02/10,154,B
+07DA001,1,2023/02/11,154,B
+07DA001,1,2023/02/12,154,B
+07DA001,1,2023/02/13,154,B
+07DA001,1,2023/02/14,155,B
+07DA001,1,2023/02/15,155,B
+07DA001,1,2023/02/16,154,B
+07DA001,1,2023/02/17,154,B
+07DA001,1,2023/02/18,153,B
+07DA001,1,2023/02/19,152,B
+07DA001,1,2023/02/20,151,B
+07DA001,1,2023/02/21,150,B
+07DA001,1,2023/02/22,149,B
+07DA001,1,2023/02/23,147,B
+07DA001,1,2023/02/24,145,B
+07DA001,1,2023/02/25,143,B
+07DA001,1,2023/02/26,141,B
+07DA001,1,2023/02/27,139,B
+07DA001,1,2023/02/28,137,B
+07DA001,1,2023/03/01,135,B
+07DA001,1,2023/03/02,133,B
+07DA001,1,2023/03/03,131,B
+07DA001,1,2023/03/04,129,B
+07DA001,1,2023/03/05,127,B
+07DA001,1,2023/03/06,125,B
+07DA001,1,2023/03/07,123,B
+07DA001,1,2023/03/08,122,B
+07DA001,1,2023/03/09,122,B
+07DA001,1,2023/03/10,123,B
+07DA001,1,2023/03/11,123,B
+07DA001,1,2023/03/12,123,B
+07DA001,1,2023/03/13,123,B
+07DA001,1,2023/03/14,123,B
+07DA001,1,2023/03/15,123,B
+07DA001,1,2023/03/16,124,B
+07DA001,1,2023/03/17,124,B
+07DA001,1,2023/03/18,124,B
+07DA001,1,2023/03/19,124,B
+07DA001,1,2023/03/20,125,B
+07DA001,1,2023/03/21,126,B
+07DA001,1,2023/03/22,128,B
+07DA001,1,2023/03/23,129,B
+07DA001,1,2023/03/24,131,B
+07DA001,1,2023/03/25,132,B
+07DA001,1,2023/03/26,133,B
+07DA001,1,2023/03/27,135,B
+07DA001,1,2023/03/28,136,B
+07DA001,1,2023/03/29,138,B
+07DA001,1,2023/03/30,139,B
+07DA001,1,2023/03/31,141,B
+07DA001,1,2023/04/01,142,B
+07DA001,1,2023/04/02,144,B
+07DA001,1,2023/04/03,145,B
+07DA001,1,2023/04/04,146,B
+07DA001,1,2023/04/05,148,B
+07DA001,1,2023/04/06,149,B
+07DA001,1,2023/04/07,155,B
+07DA001,1,2023/04/08,165,B
+07DA001,1,2023/04/09,175,B
+07DA001,1,2023/04/10,185,B
+07DA001,1,2023/04/11,195,B
+07DA001,1,2023/04/12,205,B
+07DA001,1,2023/04/13,215,B
+07DA001,1,2023/04/14,225,B
+07DA001,1,2023/04/15,235,B
+07DA001,1,2023/04/16,245,B
+07DA001,1,2023/04/17,269,B
+07DA001,1,2023/04/18,306,B
+07DA001,1,2023/04/19,344,B
+07DA001,1,2023/04/20,382,B
+07DA001,1,2023/04/21,419,B
+07DA001,1,2023/04/22,457,B
+07DA001,1,2023/04/23,494,B
+07DA001,1,2023/04/24,537,B
+07DA001,1,2023/04/25,600,B
+07DA001,1,2023/04/26,725,
+07DA001,1,2023/04/27,620,
+07DA001,1,2023/04/28,544,
+07DA001,1,2023/04/29,519,
+07DA001,1,2023/04/30,500,
+07DA001,1,2023/05/01,479,
+07DA001,1,2023/05/02,472,
+07DA001,1,2023/05/03,478,
+07DA001,1,2023/05/04,474,
+07DA001,1,2023/05/05,475,
+07DA001,1,2023/05/06,490,
+07DA001,1,2023/05/07,510,
+07DA001,1,2023/05/08,524,
+07DA001,1,2023/05/09,546,
+07DA001,1,2023/05/10,591,
+07DA001,1,2023/05/11,685,
+07DA001,1,2023/05/12,782,
+07DA001,1,2023/05/13,790,
+07DA001,1,2023/05/14,760,
+07DA001,1,2023/05/15,719,
+07DA001,1,2023/05/16,673,
+07DA001,1,2023/05/17,642,
+07DA001,1,2023/05/18,634,
+07DA001,1,2023/05/19,632,
+07DA001,1,2023/05/20,652,
+07DA001,1,2023/05/21,717,
+07DA001,1,2023/05/22,801,
+07DA001,1,2023/05/23,821,
+07DA001,1,2023/05/24,807,
+07DA001,1,2023/05/25,811,
+07DA001,1,2023/05/26,871,
+07DA001,1,2023/05/27,984,
+07DA001,1,2023/05/28,1200,
+07DA001,1,2023/05/29,1190,
+07DA001,1,2023/05/30,1040,
+07DA001,1,2023/05/31,914,
+07DA001,1,2023/06/01,836,
+07DA001,1,2023/06/02,808,
+07DA001,1,2023/06/03,786,
+07DA001,1,2023/06/04,788,
+07DA001,1,2023/06/05,783,
+07DA001,1,2023/06/06,790,
+07DA001,1,2023/06/07,785,
+07DA001,1,2023/06/08,764,
+07DA001,1,2023/06/09,758,
+07DA001,1,2023/06/10,737,
+07DA001,1,2023/06/11,725,
+07DA001,1,2023/06/12,707,
+07DA001,1,2023/06/13,670,
+07DA001,1,2023/06/14,696,
+07DA001,1,2023/06/15,838,
+07DA001,1,2023/06/16,1050,
+07DA001,1,2023/06/17,1100,
+07DA001,1,2023/06/18,1090,
+07DA001,1,2023/06/19,1090,
+07DA001,1,2023/06/20,1250,
+07DA001,1,2023/06/21,1470,
+07DA001,1,2023/06/22,2000,
+07DA001,1,2023/06/23,3690,
+07DA001,1,2023/06/24,4470,
+07DA001,1,2023/06/25,4610,
+07DA001,1,2023/06/26,3400,
+07DA001,1,2023/06/27,2680,
+07DA001,1,2023/06/28,2520,
+07DA001,1,2023/06/29,2430,
+07DA001,1,2023/06/30,2270,
+07DA001,1,2023/07/01,2090,
+07DA001,1,2023/07/02,1970,
+07DA001,1,2023/07/03,1880,
+07DA001,1,2023/07/04,1790,
+07DA001,1,2023/07/05,1710,
+07DA001,1,2023/07/06,1620,
+07DA001,1,2023/07/07,1530,
+07DA001,1,2023/07/08,1430,
+07DA001,1,2023/07/09,1310,
+07DA001,1,2023/07/10,1200,
+07DA001,1,2023/07/11,1110,
+07DA001,1,2023/07/12,1060,
+07DA001,1,2023/07/13,1010,
+07DA001,1,2023/07/14,969,
+07DA001,1,2023/07/15,940,
+07DA001,1,2023/07/16,931,
+07DA001,1,2023/07/17,931,
+07DA001,1,2023/07/18,938,
+07DA001,1,2023/07/19,943,
+07DA001,1,2023/07/20,967,
+07DA001,1,2023/07/21,990,
+07DA001,1,2023/07/22,1030,
+07DA001,1,2023/07/23,1030,
+07DA001,1,2023/07/24,978,
+07DA001,1,2023/07/25,934,
+07DA001,1,2023/07/26,950,
+07DA001,1,2023/07/27,1030,
+07DA001,1,2023/07/28,1130,
+07DA001,1,2023/07/29,1200,
+07DA001,1,2023/07/30,1430,
+07DA001,1,2023/07/31,1700,
+07DA001,1,2023/08/01,1520,
+07DA001,1,2023/08/02,1330,
+07DA001,1,2023/08/03,1240,
+07DA001,1,2023/08/04,1160,
+07DA001,1,2023/08/05,1110,
+07DA001,1,2023/08/06,1080,
+07DA001,1,2023/08/07,1100,
+07DA001,1,2023/08/08,1080,
+07DA001,1,2023/08/09,1010,
+07DA001,1,2023/08/10,967,
+07DA001,1,2023/08/11,967,
+07DA001,1,2023/08/12,1010,
+07DA001,1,2023/08/13,1080,
+07DA001,1,2023/08/14,1150,
+07DA001,1,2023/08/15,1130,
+07DA001,1,2023/08/16,1070,
+07DA001,1,2023/08/17,999,
+07DA001,1,2023/08/18,924,
+07DA001,1,2023/08/19,859,
+07DA001,1,2023/08/20,822,
+07DA001,1,2023/08/21,803,
+07DA001,1,2023/08/22,793,
+07DA001,1,2023/08/23,792,
+07DA001,1,2023/08/24,836,
+07DA001,1,2023/08/25,945,
+07DA001,1,2023/08/26,899,
+07DA001,1,2023/08/27,902,
+07DA001,1,2023/08/28,1170,
+07DA001,1,2023/08/29,1290,
+07DA001,1,2023/08/30,1260,
+07DA001,1,2023/08/31,1170,
+07DA001,1,2023/09/01,1050,
+07DA001,1,2023/09/02,966,
+07DA001,1,2023/09/03,895,
+07DA001,1,2023/09/04,837,
+07DA001,1,2023/09/05,790,
+07DA001,1,2023/09/06,771,
+07DA001,1,2023/09/07,759,
+07DA001,1,2023/09/08,734,
+07DA001,1,2023/09/09,706,
+07DA001,1,2023/09/10,688,
+07DA001,1,2023/09/11,663,
+07DA001,1,2023/09/12,625,
+07DA001,1,2023/09/13,603,
+07DA001,1,2023/09/14,584,
+07DA001,1,2023/09/15,557,
+07DA001,1,2023/09/16,539,
+07DA001,1,2023/09/17,523,
+07DA001,1,2023/09/18,512,
+07DA001,1,2023/09/19,504,A
+07DA001,1,2023/09/20,505,
+07DA001,1,2023/09/21,491,
+07DA001,1,2023/09/22,474,
+07DA001,1,2023/09/23,457,
+07DA001,1,2023/09/24,447,
+07DA001,1,2023/09/25,441,
+07DA001,1,2023/09/26,435,
+07DA001,1,2023/09/27,427,
+07DA001,1,2023/09/28,415,
+07DA001,1,2023/09/29,408,
+07DA001,1,2023/09/30,394,
+07DA001,1,2023/10/01,388,
+07DA001,1,2023/10/02,393,
+07DA001,1,2023/10/03,397,
+07DA001,1,2023/10/04,397,
+07DA001,1,2023/10/05,406,
+07DA001,1,2023/10/06,404,
+07DA001,1,2023/10/07,412,
+07DA001,1,2023/10/08,419,
+07DA001,1,2023/10/09,416,
+07DA001,1,2023/10/10,403,
+07DA001,1,2023/10/11,392,
+07DA001,1,2023/10/12,385,
+07DA001,1,2023/10/13,377,
+07DA001,1,2023/10/14,365,
+07DA001,1,2023/10/15,359,
+07DA001,1,2023/10/16,353,
+07DA001,1,2023/10/17,352,
+07DA001,1,2023/10/18,358,
+07DA001,1,2023/10/19,379,
+07DA001,1,2023/10/20,393,
+07DA001,1,2023/10/21,391,
+07DA001,1,2023/10/22,380,
+07DA001,1,2023/10/23,368,
+07DA001,1,2023/10/24,357,
+07DA001,1,2023/10/25,351,
+07DA001,1,2023/10/26,339,
+07DA001,1,2023/10/27,330,
+07DA001,1,2023/10/28,342,
+07DA001,1,2023/10/29,357,
+07DA001,1,2023/10/30,339,B
+07DA001,1,2023/10/31,317,B
+07DA001,1,2023/11/01,296,B
+07DA001,1,2023/11/02,277,B
+07DA001,1,2023/11/03,287,B
+07DA001,1,2023/11/04,282,B
+07DA001,1,2023/11/05,300,B
+07DA001,1,2023/11/06,299,B
+07DA001,1,2023/11/07,300,B
+07DA001,1,2023/11/08,318,B
+07DA001,1,2023/11/09,302,B
+07DA001,1,2023/11/10,297,B
+07DA001,1,2023/11/11,275,B
+07DA001,1,2023/11/12,262,B
+07DA001,1,2023/11/13,263,B
+07DA001,1,2023/11/14,253,B
+07DA001,1,2023/11/15,248,B
+07DA001,1,2023/11/16,240,B
+07DA001,1,2023/11/17,235,B
+07DA001,1,2023/11/18,224,B
+07DA001,1,2023/11/19,222,B
+07DA001,1,2023/11/20,219,B
+07DA001,1,2023/11/21,217,B
+07DA001,1,2023/11/22,215,B
+07DA001,1,2023/11/23,213,B
+07DA001,1,2023/11/24,211,B
+07DA001,1,2023/11/25,209,B
+07DA001,1,2023/11/26,207,B
+07DA001,1,2023/11/27,205,B
+07DA001,1,2023/11/28,203,B
+07DA001,1,2023/11/29,201,B
+07DA001,1,2023/11/30,198,B
+07DA001,1,2023/12/01,195,B
+07DA001,1,2023/12/02,192,B
+07DA001,1,2023/12/03,188,B
+07DA001,1,2023/12/04,185,B
+07DA001,1,2023/12/05,182,B
+07DA001,1,2023/12/06,178,B
+07DA001,1,2023/12/07,175,B
+07DA001,1,2023/12/08,172,B
+07DA001,1,2023/12/09,168,B
+07DA001,1,2023/12/10,165,B
+07DA001,1,2023/12/11,162,B
+07DA001,1,2023/12/12,173,B
+07DA001,1,2023/12/13,191,B
+07DA001,1,2023/12/14,188,B
+07DA001,1,2023/12/15,180,B
+07DA001,1,2023/12/16,171,B
+07DA001,1,2023/12/17,170,B
+07DA001,1,2023/12/18,173,B
+07DA001,1,2023/12/19,175,B
+07DA001,1,2023/12/20,174,B
+07DA001,1,2023/12/21,173,B
+07DA001,1,2023/12/22,172,B
+07DA001,1,2023/12/23,171,B
+07DA001,1,2023/12/24,171,B
+07DA001,1,2023/12/25,175,B
+07DA001,1,2023/12/26,180,B
+07DA001,1,2023/12/27,180,B
+07DA001,1,2023/12/28,180,B
+07DA001,1,2023/12/29,180,B
+07DA001,1,2023/12/30,180,B
+07DA001,1,2023/12/31,180,B
+07DA001,1,2024/01/01,177,B
+07DA001,1,2024/01/02,174,B
+07DA001,1,2024/01/03,172,B
+07DA001,1,2024/01/04,169,B
+07DA001,1,2024/01/05,166,B
+07DA001,1,2024/01/06,163,B
+07DA001,1,2024/01/07,161,B
+07DA001,1,2024/01/08,158,B
+07DA001,1,2024/01/09,156,B
+07DA001,1,2024/01/10,159,B
+07DA001,1,2024/01/11,164,B
+07DA001,1,2024/01/12,163,B
+07DA001,1,2024/01/13,160,B
+07DA001,1,2024/01/14,158,B
+07DA001,1,2024/01/15,155,B
+07DA001,1,2024/01/16,152,B
+07DA001,1,2024/01/17,150,B
+07DA001,1,2024/01/18,147,B
+07DA001,1,2024/01/19,144,B
+07DA001,1,2024/01/20,142,B
+07DA001,1,2024/01/21,139,B
+07DA001,1,2024/01/22,138,B
+07DA001,1,2024/01/23,136,B
+07DA001,1,2024/01/24,135,B
+07DA001,1,2024/01/25,134,B
+07DA001,1,2024/01/26,134,B
+07DA001,1,2024/01/27,134,B
+07DA001,1,2024/01/28,134,B
+07DA001,1,2024/01/29,134,B
+07DA001,1,2024/01/30,136,B
+07DA001,1,2024/01/31,137,B
+07DA001,1,2024/02/01,138,B
+07DA001,1,2024/02/02,139,B
+07DA001,1,2024/02/03,140,B
+07DA001,1,2024/02/04,141,B
+07DA001,1,2024/02/05,143,B
+07DA001,1,2024/02/06,144,B
+07DA001,1,2024/02/07,145,B
+07DA001,1,2024/02/08,146,B
+07DA001,1,2024/02/09,147,B
+07DA001,1,2024/02/10,149,B
+07DA001,1,2024/02/11,150,B
+07DA001,1,2024/02/12,151,B
+07DA001,1,2024/02/13,151,B
+07DA001,1,2024/02/14,150,B
+07DA001,1,2024/02/15,145,B
+07DA001,1,2024/02/16,140,B
+07DA001,1,2024/02/17,136,B
+07DA001,1,2024/02/18,135,B
+07DA001,1,2024/02/19,134,B
+07DA001,1,2024/02/20,132,B
+07DA001,1,2024/02/21,130,B
+07DA001,1,2024/02/22,127,B
+07DA001,1,2024/02/23,128,B
+07DA001,1,2024/02/24,130,B
+07DA001,1,2024/02/25,131,B
+07DA001,1,2024/02/26,126,B
+07DA001,1,2024/02/27,120,B
+07DA001,1,2024/02/28,115,B
+07DA001,1,2024/02/29,109,B
+07DA001,1,2024/03/01,104,B
+07DA001,1,2024/03/02,101,B
+07DA001,1,2024/03/03,99.1,B
+07DA001,1,2024/03/04,98.2,B
+07DA001,1,2024/03/05,98.2,B
+07DA001,1,2024/03/06,98.2,B
+07DA001,1,2024/03/07,98.2,B
+07DA001,1,2024/03/08,98.2,B
+07DA001,1,2024/03/09,98.5,B
+07DA001,1,2024/03/10,100,B
+07DA001,1,2024/03/11,102,B
+07DA001,1,2024/03/12,104,B
+07DA001,1,2024/03/13,107,B
+07DA001,1,2024/03/14,111,B
+07DA001,1,2024/03/15,114,B
+07DA001,1,2024/03/16,117,B
+07DA001,1,2024/03/17,121,B
+07DA001,1,2024/03/18,124,B
+07DA001,1,2024/03/19,128,B
+07DA001,1,2024/03/20,131,B
+07DA001,1,2024/03/21,135,B
+07DA001,1,2024/03/22,138,B
+07DA001,1,2024/03/23,142,B
+07DA001,1,2024/03/24,151,B
+07DA001,1,2024/03/25,161,B
+07DA001,1,2024/03/26,172,B
+07DA001,1,2024/03/27,182,B
+07DA001,1,2024/03/28,192,B
+07DA001,1,2024/03/29,202,B
+07DA001,1,2024/03/30,213,B
+07DA001,1,2024/03/31,223,B
+07DA001,1,2024/04/01,233,B
+07DA001,1,2024/04/02,243,B
+07DA001,1,2024/04/03,258,B
+07DA001,1,2024/04/04,273,B
+07DA001,1,2024/04/05,289,B
+07DA001,1,2024/04/06,305,B
+07DA001,1,2024/04/07,321,B
+07DA001,1,2024/04/08,337,B
+07DA001,1,2024/04/09,353,B
+07DA001,1,2024/04/10,368,B
+07DA001,1,2024/04/11,384,B
+07DA001,1,2024/04/12,400,B
+07DA001,1,2024/04/13,416,B
+07DA001,1,2024/04/14,432,B
+07DA001,1,2024/04/15,448,B
+07DA001,1,2024/04/16,464,B
+07DA001,1,2024/04/17,484,B
+07DA001,1,2024/04/18,504,B
+07DA001,1,2024/04/19,525,B
+07DA001,1,2024/04/20,554,B
+07DA001,1,2024/04/21,701,B
+07DA001,1,2024/04/22,684,B
+07DA001,1,2024/04/23,631,B
+07DA001,1,2024/04/24,621,B
+07DA001,1,2024/04/25,640,B
+07DA001,1,2024/04/26,641,B
+07DA001,1,2024/04/27,586,E
+07DA001,1,2024/04/28,530,E
+07DA001,1,2024/04/29,474,E
+07DA001,1,2024/04/30,444,E
+07DA001,1,2024/05/01,434,E
+07DA001,1,2024/05/02,424,E
+07DA001,1,2024/05/03,418,E
+07DA001,1,2024/05/04,416,E
+07DA001,1,2024/05/05,415,E
+07DA001,1,2024/05/06,413,E
+07DA001,1,2024/05/07,413,E
+07DA001,1,2024/05/08,422,E
+07DA001,1,2024/05/09,442,
+07DA001,1,2024/05/10,484,
+07DA001,1,2024/05/11,520,
+07DA001,1,2024/05/12,518,
+07DA001,1,2024/05/13,517,
+07DA001,1,2024/05/14,531,
+07DA001,1,2024/05/15,537,
+07DA001,1,2024/05/16,530,
+07DA001,1,2024/05/17,551,
+07DA001,1,2024/05/18,593,
+07DA001,1,2024/05/19,674,
+07DA001,1,2024/05/20,763,
+07DA001,1,2024/05/21,821,
+07DA001,1,2024/05/22,836,
+07DA001,1,2024/05/23,852,
+07DA001,1,2024/05/24,866,
+07DA001,1,2024/05/25,827,
+07DA001,1,2024/05/26,790,
+07DA001,1,2024/05/27,770,
+07DA001,1,2024/05/28,782,
+07DA001,1,2024/05/29,858,
+07DA001,1,2024/05/30,854,
+07DA001,1,2024/05/31,858,
+07DA001,1,2024/06/01,912,
+07DA001,1,2024/06/02,917,
+07DA001,1,2024/06/03,886,
+07DA001,1,2024/06/04,875,
+07DA001,1,2024/06/05,924,
+07DA001,1,2024/06/06,936,
+07DA001,1,2024/06/07,968,
+07DA001,1,2024/06/08,1050,
+07DA001,1,2024/06/09,1100,
+07DA001,1,2024/06/10,1130,
+07DA001,1,2024/06/11,1150,
+07DA001,1,2024/06/12,1110,
+07DA001,1,2024/06/13,1100,
+07DA001,1,2024/06/14,1110,
+07DA001,1,2024/06/15,1140,
+07DA001,1,2024/06/16,1210,
+07DA001,1,2024/06/17,1290,
+07DA001,1,2024/06/18,1390,
+07DA001,1,2024/06/19,1360,
+07DA001,1,2024/06/20,1280,
+07DA001,1,2024/06/21,1220,
+07DA001,1,2024/06/22,1160,
+07DA001,1,2024/06/23,1100,
+07DA001,1,2024/06/24,1060,
+07DA001,1,2024/06/25,1070,A
+07DA001,1,2024/06/26,1050,
+07DA001,1,2024/06/27,1020,
+07DA001,1,2024/06/28,1010,
+07DA001,1,2024/06/29,1050,
+07DA001,1,2024/06/30,1100,
+07DA001,1,2024/07/01,1130,
+07DA001,1,2024/07/02,1230,
+07DA001,1,2024/07/03,1400,
+07DA001,1,2024/07/04,1420,
+07DA001,1,2024/07/05,1350,
+07DA001,1,2024/07/06,1290,
+07DA001,1,2024/07/07,1250,
+07DA001,1,2024/07/08,1200,
+07DA001,1,2024/07/09,1110,
+07DA001,1,2024/07/10,1020,
+07DA001,1,2024/07/11,943,
+07DA001,1,2024/07/12,896,
+07DA001,1,2024/07/13,870,
+07DA001,1,2024/07/14,866,
+07DA001,1,2024/07/15,872,
+07DA001,1,2024/07/16,871,
+07DA001,1,2024/07/17,863,
+07DA001,1,2024/07/18,830,
+07DA001,1,2024/07/19,778,
+07DA001,1,2024/07/20,729,
+07DA001,1,2024/07/21,694,
+07DA001,1,2024/07/22,670,
+07DA001,1,2024/07/23,660,
+07DA001,1,2024/07/24,655,
+07DA001,1,2024/07/25,666,
+07DA001,1,2024/07/26,697,
+07DA001,1,2024/07/27,768,
+07DA001,1,2024/07/28,877,
+07DA001,1,2024/07/29,971,
+07DA001,1,2024/07/30,1280,
+07DA001,1,2024/07/31,1320,
+07DA001,1,2024/08/01,1170,
+07DA001,1,2024/08/02,1040,
+07DA001,1,2024/08/03,927,
+07DA001,1,2024/08/04,848,
+07DA001,1,2024/08/05,790,
+07DA001,1,2024/08/06,752,
+07DA001,1,2024/08/07,721,
+07DA001,1,2024/08/08,702,
+07DA001,1,2024/08/09,687,
+07DA001,1,2024/08/10,679,
+07DA001,1,2024/08/11,693,
+07DA001,1,2024/08/12,740,
+07DA001,1,2024/08/13,730,
+07DA001,1,2024/08/14,692,
+07DA001,1,2024/08/15,639,
+07DA001,1,2024/08/16,597,
+07DA001,1,2024/08/17,579,
+07DA001,1,2024/08/18,589,
+07DA001,1,2024/08/19,577,
+07DA001,1,2024/08/20,581,
+07DA001,1,2024/08/21,583,
+07DA001,1,2024/08/22,590,
+07DA001,1,2024/08/23,604,
+07DA001,1,2024/08/24,630,
+07DA001,1,2024/08/25,680,
+07DA001,1,2024/08/26,668,
+07DA001,1,2024/08/27,634,
+07DA001,1,2024/08/28,598,
+07DA001,1,2024/08/29,579,
+07DA001,1,2024/08/30,645,
+07DA001,1,2024/08/31,752,
+07DA001,1,2024/09/01,724,
+07DA001,1,2024/09/02,661,
+07DA001,1,2024/09/03,639,
+07DA001,1,2024/09/04,610,
+07DA001,1,2024/09/05,564,
+07DA001,1,2024/09/06,535,
+07DA001,1,2024/09/07,523,
+07DA001,1,2024/09/08,516,
+07DA001,1,2024/09/09,512,
+07DA001,1,2024/09/10,502,
+07DA001,1,2024/09/11,484,
+07DA001,1,2024/09/12,467,
+07DA001,1,2024/09/13,457,
+07DA001,1,2024/09/14,449,
+07DA001,1,2024/09/15,443,
+07DA001,1,2024/09/16,435,
+07DA001,1,2024/09/17,431,
+07DA001,1,2024/09/18,414,
+07DA001,1,2024/09/19,390,
+07DA001,1,2024/09/20,377,
+07DA001,1,2024/09/21,366,
+07DA001,1,2024/09/22,357,
+07DA001,1,2024/09/23,356,
+07DA001,1,2024/09/24,347,
+07DA001,1,2024/09/25,337,
+07DA001,1,2024/09/26,337,
+07DA001,1,2024/09/27,339,
+07DA001,1,2024/09/28,340,
+07DA001,1,2024/09/29,337,
+07DA001,1,2024/09/30,325,
+07DA001,1,2024/10/01,328,
+07DA001,1,2024/10/02,386,
+07DA001,1,2024/10/03,621,
+07DA001,1,2024/10/04,569,
+07DA001,1,2024/10/05,524,
+07DA001,1,2024/10/06,484,
+07DA001,1,2024/10/07,460,
+07DA001,1,2024/10/08,429,
+07DA001,1,2024/10/09,414,
+07DA001,1,2024/10/10,403,
+07DA001,1,2024/10/11,387,
+07DA001,1,2024/10/12,375,
+07DA001,1,2024/10/13,364,
+07DA001,1,2024/10/14,355,
+07DA001,1,2024/10/15,348,
+07DA001,1,2024/10/16,357,
+07DA001,1,2024/10/17,410,
+07DA001,1,2024/10/18,404,
+07DA001,1,2024/10/19,392,
+07DA001,1,2024/10/20,384,
+07DA001,1,2024/10/21,383,
+07DA001,1,2024/10/22,376,
+07DA001,1,2024/10/23,378,
+07DA001,1,2024/10/24,394,
+07DA001,1,2024/10/25,396,
+07DA001,1,2024/10/26,390,
+07DA001,1,2024/10/27,386,
+07DA001,1,2024/10/28,408,
+07DA001,1,2024/10/29,432,
+07DA001,1,2024/10/30,408,
+07DA001,1,2024/10/31,374,
+07DA001,1,2024/11/01,360,
+07DA001,1,2024/11/02,354,
+07DA001,1,2024/11/03,356,
+07DA001,1,2024/11/04,340,B
+07DA001,1,2024/11/05,329,B
+07DA001,1,2024/11/06,329,B
+07DA001,1,2024/11/07,333,B
+07DA001,1,2024/11/08,334,B
+07DA001,1,2024/11/09,328,B
+07DA001,1,2024/11/10,306,B
+07DA001,1,2024/11/11,299,B
+07DA001,1,2024/11/12,302,B
+07DA001,1,2024/11/13,291,B
+07DA001,1,2024/11/14,278,B
+07DA001,1,2024/11/15,274,B
+07DA001,1,2024/11/16,258,B
+07DA001,1,2024/11/17,256,B
+07DA001,1,2024/11/18,254,B
+07DA001,1,2024/11/19,255,B
+07DA001,1,2024/11/20,253,B
+07DA001,1,2024/11/21,247,B
+07DA001,1,2024/11/22,241,B
+07DA001,1,2024/11/23,235,B
+07DA001,1,2024/11/24,229,B
+07DA001,1,2024/11/25,223,B
+07DA001,1,2024/11/26,217,B
+07DA001,1,2024/11/27,213,B
+07DA001,1,2024/11/28,216,B
+07DA001,1,2024/11/29,216,B
+07DA001,1,2024/11/30,214,B
+07DA001,1,2024/12/01,212,B
+07DA001,1,2024/12/02,210,B
+07DA001,1,2024/12/03,208,B
+07DA001,1,2024/12/04,207,B
+07DA001,1,2024/12/05,209,B
+07DA001,1,2024/12/06,212,B
+07DA001,1,2024/12/07,214,B
+07DA001,1,2024/12/08,216,B
+07DA001,1,2024/12/09,218,B
+07DA001,1,2024/12/10,210,B
+07DA001,1,2024/12/11,199,B
+07DA001,1,2024/12/12,188,B
+07DA001,1,2024/12/13,182,B
+07DA001,1,2024/12/14,183,B
+07DA001,1,2024/12/15,185,B
+07DA001,1,2024/12/16,186,B
+07DA001,1,2024/12/17,187,B
+07DA001,1,2024/12/18,187,B
+07DA001,1,2024/12/19,186,B
+07DA001,1,2024/12/20,185,B
+07DA001,1,2024/12/21,184,B
+07DA001,1,2024/12/22,188,B
+07DA001,1,2024/12/23,194,B
+07DA001,1,2024/12/24,195,B
+07DA001,1,2024/12/25,194,B
+07DA001,1,2024/12/26,194,B
+07DA001,1,2024/12/27,193,B
+07DA001,1,2024/12/28,192,B
+07DA001,1,2024/12/29,192,B
+07DA001,1,2024/12/30,191,B
+07DA001,1,2024/12/31,190,B
+07DA001,1,2025/01/01,189,B
+07DA001,1,2025/01/02,191,B
+07DA001,1,2025/01/03,196,B
+07DA001,1,2025/01/04,201,B
+07DA001,1,2025/01/05,203,B
+07DA001,1,2025/01/06,202,B
+07DA001,1,2025/01/07,202,B
+07DA001,1,2025/01/08,201,B
+07DA001,1,2025/01/09,198,B
+07DA001,1,2025/01/10,195,B
+07DA001,1,2025/01/11,191,B
+07DA001,1,2025/01/12,184,B
+07DA001,1,2025/01/13,176,B
+07DA001,1,2025/01/14,165,B
+07DA001,1,2025/01/15,155,B
+07DA001,1,2025/01/16,155,B
+07DA001,1,2025/01/17,157,B
+07DA001,1,2025/01/18,153,B
+07DA001,1,2025/01/19,143,B
+07DA001,1,2025/01/20,140,B
+07DA001,1,2025/01/21,140,B
+07DA001,1,2025/01/22,140,B
+07DA001,1,2025/01/23,142,B
+07DA001,1,2025/01/24,145,B
+07DA001,1,2025/01/25,149,B
+07DA001,1,2025/01/26,153,B
+07DA001,1,2025/01/27,163,B
+07DA001,1,2025/01/28,173,B
+07DA001,1,2025/01/29,179,B
+07DA001,1,2025/01/30,182,B
+07DA001,1,2025/01/31,184,B
+07DA001,1,2025/02/01,185,B
+07DA001,1,2025/02/02,184,B
+07DA001,1,2025/02/03,181,B
+07DA001,1,2025/02/04,181,B
+07DA001,1,2025/02/05,184,B
+07DA001,1,2025/02/06,188,B
+07DA001,1,2025/02/07,187,B
+07DA001,1,2025/02/08,185,B
+07DA001,1,2025/02/09,182,B
+07DA001,1,2025/02/10,181,B
+07DA001,1,2025/02/11,180,B
+07DA001,1,2025/02/12,180,B
+07DA001,1,2025/02/13,179,B
+07DA001,1,2025/02/14,177,B
+07DA001,1,2025/02/15,175,B
+07DA001,1,2025/02/16,172,B
+07DA001,1,2025/02/17,170,B
+07DA001,1,2025/02/18,166,B
+07DA001,1,2025/02/19,161,B
+07DA001,1,2025/02/20,159,B
+07DA001,1,2025/02/21,156,B
+07DA001,1,2025/02/22,153,B
+07DA001,1,2025/02/23,151,B
+07DA001,1,2025/02/24,150,B
+07DA001,1,2025/02/25,151,B
+07DA001,1,2025/02/26,151,B
+07DA001,1,2025/02/27,152,B
+07DA001,1,2025/02/28,153,B
+07DA001,1,2025/03/01,153,B
+07DA001,1,2025/03/02,153,B
+07DA001,1,2025/03/03,154,B
+07DA001,1,2025/03/04,156,B
+07DA001,1,2025/03/05,160,B
+07DA001,1,2025/03/06,168,B
+07DA001,1,2025/03/07,176,B
+07DA001,1,2025/03/08,186,B
+07DA001,1,2025/03/09,196,B
+07DA001,1,2025/03/10,206,B
+07DA001,1,2025/03/11,213,B
+07DA001,1,2025/03/12,220,B
+07DA001,1,2025/03/13,225,B
+07DA001,1,2025/03/14,228,B
+07DA001,1,2025/03/15,231,B
+07DA001,1,2025/03/16,231,B
+07DA001,1,2025/03/17,229,B
+07DA001,1,2025/03/18,228,B
+07DA001,1,2025/03/19,228,B
+07DA001,1,2025/03/20,222,B
+07DA001,1,2025/03/21,220,B
+07DA001,1,2025/03/22,219,B
+07DA001,1,2025/03/23,217,B
+07DA001,1,2025/03/24,214,B
+07DA001,1,2025/03/25,212,B
+07DA001,1,2025/03/26,210,B
+07DA001,1,2025/03/27,209,B
+07DA001,1,2025/03/28,210,B
+07DA001,1,2025/03/29,211,B
+07DA001,1,2025/03/30,214,B
+07DA001,1,2025/03/31,212,B
+07DA001,1,2025/04/01,210,B
+07DA001,1,2025/04/02,213,B
+07DA001,1,2025/04/03,219,B
+07DA001,1,2025/04/04,224,B
+07DA001,1,2025/04/05,223,B
+07DA001,1,2025/04/06,222,B
+07DA001,1,2025/04/07,224,B
+07DA001,1,2025/04/08,230,B
+07DA001,1,2025/04/09,240,B
+07DA001,1,2025/04/10,250,B
+07DA001,1,2025/04/11,270,B
+07DA001,1,2025/04/12,299,B
+07DA001,1,2025/04/13,333,B
+07DA001,1,2025/04/14,372,B
+07DA001,1,2025/04/15,444,B
+07DA001,1,2025/04/16,559,B
+07DA001,1,2025/04/17,720,B
+07DA001,1,2025/04/18,860,B
+07DA001,1,2025/04/19,913,B
+07DA001,1,2025/04/20,1000,B
+07DA001,1,2025/04/21,1370,B
+07DA001,1,2025/04/22,1540,B
+07DA001,1,2025/04/23,1420,B
+07DA001,1,2025/04/24,1240,E
+07DA001,1,2025/04/25,829,E
+07DA001,1,2025/04/26,752,E
+07DA001,1,2025/04/27,725,E
+07DA001,1,2025/04/28,697,E
+07DA001,1,2025/04/29,669,E
+07DA001,1,2025/04/30,642,E
+07DA001,1,2025/05/01,626,E
+07DA001,1,2025/05/02,625,E
+07DA001,1,2025/05/03,624,E
+07DA001,1,2025/05/04,627,E
+07DA001,1,2025/05/05,633,E
+07DA001,1,2025/05/06,638,E
+07DA001,1,2025/05/07,639,E
+07DA001,1,2025/05/08,631,
+07DA001,1,2025/05/09,629,
+07DA001,1,2025/05/10,646,
+07DA001,1,2025/05/11,651,
+07DA001,1,2025/05/12,639,
+07DA001,1,2025/05/13,608,
+07DA001,1,2025/05/14,599,
+07DA001,1,2025/05/15,609,
+07DA001,1,2025/05/16,605,
+07DA001,1,2025/05/17,590,
+07DA001,1,2025/05/18,578,
+07DA001,1,2025/05/19,699,
+07DA001,1,2025/05/20,728,
+07DA001,1,2025/05/21,747,
+07DA001,1,2025/05/22,758,
+07DA001,1,2025/05/23,735,
+07DA001,1,2025/05/24,722,
+07DA001,1,2025/05/25,720,
+07DA001,1,2025/05/26,719,
+07DA001,1,2025/05/27,719,
+07DA001,1,2025/05/28,698,
+07DA001,1,2025/05/29,674,
+07DA001,1,2025/05/30,656,
+07DA001,1,2025/05/31,642,
+07DA001,1,2025/06/01,698,
+07DA001,1,2025/06/02,847,
+07DA001,1,2025/06/03,872,
+07DA001,1,2025/06/04,1000,
+07DA001,1,2025/06/05,1100,
+07DA001,1,2025/06/06,1160,
+07DA001,1,2025/06/07,1130,
+07DA001,1,2025/06/08,989,
+07DA001,1,2025/06/09,873,
+07DA001,1,2025/06/10,783,
+07DA001,1,2025/06/11,724,
+07DA001,1,2025/06/12,705,
+07DA001,1,2025/06/13,772,
+07DA001,1,2025/06/14,815,
+07DA001,1,2025/06/15,866,
+07DA001,1,2025/06/16,915,
+07DA001,1,2025/06/17,903,
+07DA001,1,2025/06/18,914,
+07DA001,1,2025/06/19,976,
+07DA001,1,2025/06/20,982,
+07DA001,1,2025/06/21,922,
+07DA001,1,2025/06/22,863,
+07DA001,1,2025/06/23,842,
+07DA001,1,2025/06/24,819,
+07DA001,1,2025/06/25,847,
+07DA001,1,2025/06/26,974,
+07DA001,1,2025/06/27,1180,
+07DA001,1,2025/06/28,1080,
+07DA001,1,2025/06/29,1000,
+07DA001,1,2025/06/30,971,
+07DA001,1,2025/07/01,925,
+07DA001,1,2025/07/02,899,
+07DA001,1,2025/07/03,878,
+07DA001,1,2025/07/04,855,
+07DA001,1,2025/07/05,821,
+07DA001,1,2025/07/06,790,
+07DA001,1,2025/07/07,777,
+07DA001,1,2025/07/08,792,
+07DA001,1,2025/07/09,816,
+07DA001,1,2025/07/10,802,
+07DA001,1,2025/07/11,747,
+07DA001,1,2025/07/12,722,
+07DA001,1,2025/07/13,709,
+07DA001,1,2025/07/14,684,
+07DA001,1,2025/07/15,664,
+07DA001,1,2025/07/16,696,
+07DA001,1,2025/07/17,670,
+07DA001,1,2025/07/18,622,
+07DA001,1,2025/07/19,601,
+07DA001,1,2025/07/20,639,
+07DA001,1,2025/07/21,706,
+07DA001,1,2025/07/22,690,
+07DA001,1,2025/07/23,654,
+07DA001,1,2025/07/24,645,
+07DA001,1,2025/07/25,666,
+07DA001,1,2025/07/26,694,
+07DA001,1,2025/07/27,686,
+07DA001,1,2025/07/28,732,
+07DA001,1,2025/07/29,772,
+07DA001,1,2025/07/30,723,
+07DA001,1,2025/07/31,720,
+07DA001,1,2025/08/01,764,
+07DA001,1,2025/08/02,742,
+07DA001,1,2025/08/03,719,
+07DA001,1,2025/08/04,701,
+07DA001,1,2025/08/05,667,
+07DA001,1,2025/08/06,657,
+07DA001,1,2025/08/07,667,
+07DA001,1,2025/08/08,683,
+07DA001,1,2025/08/09,706,
+07DA001,1,2025/08/10,695,
+07DA001,1,2025/08/11,687,
+07DA001,1,2025/08/12,720,
+07DA001,1,2025/08/13,783,
+07DA001,1,2025/08/14,883,
+07DA001,1,2025/08/15,841,
+07DA001,1,2025/08/16,785,
+07DA001,1,2025/08/17,779,
+07DA001,1,2025/08/18,785,
+07DA001,1,2025/08/19,906,
+07DA001,1,2025/08/20,991,
+07DA001,1,2025/08/21,916,
+07DA001,1,2025/08/22,902,
+07DA001,1,2025/08/23,906,
+07DA001,1,2025/08/24,844,
+07DA001,1,2025/08/25,785,
+07DA001,1,2025/08/26,742,
+07DA001,1,2025/08/27,707,
+07DA001,1,2025/08/28,663,
+07DA001,1,2025/08/29,622,
+07DA001,1,2025/08/30,589,
+07DA001,1,2025/08/31,569,
+07DA001,1,2025/09/01,550,
+07DA001,1,2025/09/02,535,
+07DA001,1,2025/09/03,522,
+07DA001,1,2025/09/04,509,
+07DA001,1,2025/09/05,495,
+07DA001,1,2025/09/06,489,
+07DA001,1,2025/09/07,480,
+07DA001,1,2025/09/08,469,
+07DA001,1,2025/09/09,458,
+07DA001,1,2025/09/10,450,
+07DA001,1,2025/09/11,438,
+07DA001,1,2025/09/12,427,
+07DA001,1,2025/09/13,417,
+07DA001,1,2025/09/14,411,
+07DA001,1,2025/09/15,409,
+07DA001,1,2025/09/16,405,
+07DA001,1,2025/09/17,398,
+07DA001,1,2025/09/18,388,
+07DA001,1,2025/09/19,376,
+07DA001,1,2025/09/20,369,
+07DA001,1,2025/09/21,364,
+07DA001,1,2025/09/22,361,
+07DA001,1,2025/09/23,358,
+07DA001,1,2025/09/24,348,
+07DA001,1,2025/09/25,340,
+07DA001,1,2025/09/26,347,
+07DA001,1,2025/09/27,342,
+07DA001,1,2025/09/28,328,
+07DA001,1,2025/09/29,318,
+07DA001,1,2025/09/30,324,
+07DA001,1,2025/10/01,323,
+07DA001,1,2025/10/02,325,
+07DA001,1,2025/10/03,336,
+07DA001,1,2025/10/04,324,
+07DA001,1,2025/10/05,312,
+07DA001,1,2025/10/06,318,
+07DA001,1,2025/10/07,335,
+07DA001,1,2025/10/08,351,
+07DA001,1,2025/10/09,361,
+07DA001,1,2025/10/10,347,
+07DA001,1,2025/10/11,334,
+07DA001,1,2025/10/12,319,
+07DA001,1,2025/10/13,310,
+07DA001,1,2025/10/14,303,
+07DA001,1,2025/10/15,294,
+07DA001,1,2025/10/16,293,
+07DA001,1,2025/10/17,332,
+07DA001,1,2025/10/18,329,
+07DA001,1,2025/10/19,324,
+07DA001,1,2025/10/20,330,
+07DA001,1,2025/10/21,323,
+07DA001,1,2025/10/22,313,
+07DA001,1,2025/10/23,305,
+07DA001,1,2025/10/24,299,
+07DA001,1,2025/10/25,301,
+07DA001,1,2025/10/26,305,
+07DA001,1,2025/10/27,318,
+07DA001,1,2025/10/28,322,
+07DA001,1,2025/10/29,319,
+07DA001,1,2025/10/30,315,
+07DA001,1,2025/10/31,312,
+07DA001,1,2025/11/01,313,
+07DA001,1,2025/11/02,311,
+07DA001,1,2025/11/03,306,
+07DA001,1,2025/11/04,303,
+07DA001,1,2025/11/05,278,B
+07DA001,1,2025/11/06,249,B
+07DA001,1,2025/11/07,237,B
+07DA001,1,2025/11/08,248,B
+07DA001,1,2025/11/09,239,B
+07DA001,1,2025/11/10,248,B
+07DA001,1,2025/11/11,248,B
+07DA001,1,2025/11/12,241,B
+07DA001,1,2025/11/13,236,B
+07DA001,1,2025/11/14,248,B
+07DA001,1,2025/11/15,249,B
+07DA001,1,2025/11/16,249,B
+07DA001,1,2025/11/17,244,B
+07DA001,1,2025/11/18,255,B
+07DA001,1,2025/11/19,245,B
+07DA001,1,2025/11/20,240,B
+07DA001,1,2025/11/21,242,B
+07DA001,1,2025/11/22,228,B
+07DA001,1,2025/11/23,218,B
+07DA001,1,2025/11/24,204,B
+07DA001,1,2025/11/25,190,B
+07DA001,1,2025/11/26,178,B
+07DA001,1,2025/11/27,170,B
+07DA001,1,2025/11/28,170,B
+07DA001,1,2025/11/29,171,B
+07DA001,1,2025/11/30,169,B
+07DA001,1,2025/12/01,167,B
+07DA001,1,2025/12/02,170,B
+07DA001,1,2025/12/03,171,B
+07DA001,1,2025/12/04,169,B
+07DA001,1,2025/12/05,170,B
+07DA001,1,2025/12/06,171,B
+07DA001,1,2025/12/07,170,B
+07DA001,1,2025/12/08,169,B
+07DA001,1,2025/12/09,166,B
+07DA001,1,2025/12/10,162,B
+07DA001,1,2025/12/11,161,B
+07DA001,1,2025/12/12,158,B
+07DA001,1,2025/12/13,154,B
+07DA001,1,2025/12/14,151,B
+07DA001,1,2025/12/15,148,B
+07DA001,1,2025/12/16,145,B
+07DA001,1,2025/12/17,143,B
+07DA001,1,2025/12/18,142,B
+07DA001,1,2025/12/19,142,B
+07DA001,1,2025/12/20,142,B
+07DA001,1,2025/12/21,141,B
+07DA001,1,2025/12/22,141,B
+07DA001,1,2025/12/23,139,B
+07DA001,1,2025/12/24,138,B
+07DA001,1,2025/12/25,136,B
+07DA001,1,2025/12/26,134,B
+07DA001,1,2025/12/27,132,B
+07DA001,1,2025/12/28,130,B
+07DA001,1,2025/12/29,127,B
+07DA001,1,2025/12/30,126,B
+07DA001,1,2025/12/31,124,B
diff --git a/Workyard/Calibration_HBV.ipynb b/Workyard/Calibration_HBV.ipynb
new file mode 100644
index 00000000..2395973d
--- /dev/null
+++ b/Workyard/Calibration_HBV.ipynb
@@ -0,0 +1,11052 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "fbc7f454-3d60-492d-aa6c-0ce21a0dfc77",
+   "metadata": {},
+   "source": [
+    "## Startup\n",
+    "\n",
+    "\n",
+    "80/20 rule:\n",
+    "80% calibration (2000-2020)\n",
+    "20% validation (2020-2025)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "id": "95a06f73-282f-4c7c-8333-f002e73e205a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General python\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\", category=UserWarning)\n",
+    "\n",
+    "import numpy as np\n",
+    "from pathlib import Path\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import xarray as xr\n",
+    "\n",
+    "# Niceties\n",
+    "from rich import print\n",
+    "\n",
+    "from ipywidgets import IntProgress\n",
+    "from IPython.display import display"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "id": "8b61a012-64eb-48b2-ba78-f641a1a581a3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General eWaterCycle\n",
+    "import ewatercycle\n",
+    "import ewatercycle.models\n",
+    "import ewatercycle.forcing"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a860a623-f634-4b50-822c-51e09ab4e594",
+   "metadata": {},
+   "source": [
+    "### Defining variables & pathways"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "id": "970798cd-b737-44f3-8edd-de3352b86efd",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Choosing time period & basin si\n",
+    "\n",
+    "experiment_start_date = \"2000-01-01T00:00:00Z\"\n",
+    "experiment_end_date = \"2005-12-31T00:00:00Z\"\n",
+    "\n",
+    "calibration_start = \"1999-01-01T00:00:00Z\"\n",
+    "calibration_end = \"2019-12-31T00:00:00Z\"\n",
+    "\n",
+    "# validation_start = \"\"\n",
+    "# validation_end = \"\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "id": "c3b02d32-4be2-47a7-8935-8284af182d66",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create pathways for ERA 5 forcings\n",
+    "\n",
+    "forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"ERA5-1999-2019\"\n",
+    "\n",
+    "discharge_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
+    "\n",
+    "shape_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "basin_size = 132572\n",
+    "\n",
+    "calibration_temp = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"calibration_temp\"\n",
+    "calibration_temp.mkdir(parents=True, exist_ok=True)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fd4ec71b-d4f6-4a1c-be9a-f8d3b89059d1",
+   "metadata": {},
+   "source": [
+    "### Load & prepare discharge data "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "id": "d590f365-72ad-4473-9996-88820ea52c18",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load CSV discharge 07DA001\n",
+    "\n",
+    "q_obs = pd.read_csv(discharge_file, skiprows=1)\n",
+    "q_obs = q_obs[[\"Date\", \"Value\"]].copy()\n",
+    "q_obs[\"Date\"] = pd.to_datetime(q_obs[\"Date\"])\n",
+    "q_obs = q_obs.rename(columns={\"Value\": \"discharge_m3s\"})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "id": "1cec4b74-037a-4d48-8769-e0b57a7683aa",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Filter q_obs to start & end date\n",
+    "\n",
+    "# start_date = pd.to_datetime(experiment_start_date.replace(\"Z\", \"\"))\n",
+    "# end_date = pd.to_datetime(experiment_end_date.replace(\"Z\", \"\"))\n",
+    "\n",
+    "# q_obs = q_obs[(q_obs[\"Date\"] >= start_date) & (q_obs[\"Date\"] <= end_date)]\n",
+    "# observed_output = pd.Series(data=q_obs[\"discharge_m3s\"].to_numpy(), name=\"Observed discharge\", index=q_obs[\"Date\"])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a7c47f7f-18ff-4441-b1d4-975e46e1719b",
+   "metadata": {},
+   "source": [
+    "### Generate or Load ERA5 data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "id": "eb582ebf-8fbc-4542-b785-cee2f332bdd5",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">LumpedMakkinkForcing</span><span style=\"font-weight: bold\">(</span>\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">start_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'1999-01-01T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">end_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'2019-12-31T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">directory</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1999-2019'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">shape</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">filenames</span>=<span style=\"font-weight: bold\">{</span>\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'evspsblpot'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1999_2019_evspsblpot.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'pr'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1999_2019_pr.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'rsds'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1999_2019_rsds.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'tas'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1999_2019_tas.nc'</span>\n",
+       "    <span style=\"font-weight: bold\">}</span>\n",
+       "<span style=\"font-weight: bold\">)</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1;35mLumpedMakkinkForcing\u001b[0m\u001b[1m(\u001b[0m\n",
+       "    \u001b[33mstart_time\u001b[0m=\u001b[32m'1999-01-01T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mend_time\u001b[0m=\u001b[32m'2019-12-31T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mdirectory\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1999-2019'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mshape\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mfilenames\u001b[0m=\u001b[1m{\u001b[0m\n",
+       "        \u001b[32m'evspsblpot'\u001b[0m: \u001b[32m'combined_ERA5_1999_2019_evspsblpot.nc'\u001b[0m,\n",
+       "        \u001b[32m'pr'\u001b[0m: \u001b[32m'combined_ERA5_1999_2019_pr.nc'\u001b[0m,\n",
+       "        \u001b[32m'rsds'\u001b[0m: \u001b[32m'combined_ERA5_1999_2019_rsds.nc'\u001b[0m,\n",
+       "        \u001b[32m'tas'\u001b[0m: \u001b[32m'combined_ERA5_1999_2019_tas.nc'\u001b[0m\n",
+       "    \u001b[1m}\u001b[0m\n",
+       "\u001b[1m)\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Generate ERA5 data\n",
+    "# ERA5_forcing = ewatercycle.forcing.sources['LumpedMakkinkForcing'].generate(\n",
+    "#     dataset=\"ERA5\",\n",
+    "#     start_time=experiment_start_date,\n",
+    "#     end_time=experiment_end_date,\n",
+    "#     shape=shape_file,\n",
+    "# )\n",
+    "\n",
+    "# Load ERA5 data\n",
+    "ERA5_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=forcing_path_ERA5)\n",
+    "\n",
+    "print(ERA5_forcing)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6fc290da-fa08-48f0-83e3-a39e8f5c36ef",
+   "metadata": {},
+   "source": [
+    "## Calibration Methods"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9b95e67e-780e-4a4d-a2f1-4cf9de2b0512",
+   "metadata": {},
+   "source": [
+    "### Method 1: RMSE"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "id": "3da0e944-b4bf-49c6-a986-a94fc14e0bfe",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def RMSE(sim, obs):\n",
+    "    sim = sim.to_numpy()\n",
+    "    obs = obs.to_numpy()\n",
+    "\n",
+    "    return np.sqrt(np.mean((obs - sim)) ** 2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ba51d28d-1fdb-46af-8f8e-5dcf904aba7f",
+   "metadata": {},
+   "source": [
+    "### Method 2: NSE"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "id": "9ff8dc21-0959-49a4-9d4b-496726c90f88",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def NSE(sim, obs):\n",
+    "    sim = sim.to_numpy()\n",
+    "    obs = obs.to_numpy()\n",
+    "\n",
+    "    return 1 - np.sum((obs - sim) ** 2) / np.sum((obs - np.mean(obs)) ** 2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "93f96591-ceb4-4671-9a48-04a0ddbfaf5a",
+   "metadata": {},
+   "source": [
+    "### Method 3: Log_NSE"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "id": "826cfb65-21ba-4901-aafe-37738913c0ee",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def log_NSE(sim, obs):\n",
+    "    # Convert for easy calculations\n",
+    "    sim = sim.to_numpy()\n",
+    "    obs = obs.to_numpy()\n",
+    "\n",
+    "    # Avoid log(0)\n",
+    "    eps = 0.00000000001\n",
+    "\n",
+    "    log_sim = np.log(sim + eps)\n",
+    "    log_obs = np.log(obs + eps)\n",
+    "\n",
+    "    return 1 - np.sum((log_obs - log_sim) ** 2) / np.sum((log_obs - np.mean(log_obs)) ** 2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8dc2e27c-2caa-493a-8ad0-3a8540ff4a18",
+   "metadata": {},
+   "source": [
+    "### Define Parameters & Storages and Times"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "id": "2ed6540e-ec2f-4f80-975f-66fee4b2a75a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Define initial storages\n",
+    "#               Si,  Su, Sf, Ss, Sp\n",
+    "s_0 = np.array([0,  100,  0,  5,  0])\n",
+    "\n",
+    "# Define parameters (range)\n",
+    "parameter_ranges = {\n",
+    "    \"Imax\":  (5.5, 8),            # Maximum interception storage\n",
+    "    \"Ce\":    (0.35, 0.6),       # Evaporation correction factor\n",
+    "    \"Sumax\": (150, 220),         # Maximum soil moisture storage\n",
+    "    \"Beta\":  (1.6, 2),          # Soil runoff parameter\n",
+    "    \"Pmax\":  (0.1, 0.6),            # Maximum percolation rate\n",
+    "    \"Tlag\":  (5.2, 7),           # Time lag\n",
+    "    \"Kf\":    (0.01, 0.1),       # Fast reservoir recession coefficient\n",
+    "    \"Ks\":    (0.001, 0.1),     # Slow reservoir recession coefficient\n",
+    "    \"FM\":    (0.3, 1.4),          # Snowmelt factor\n",
+    "}\n",
+    "\n",
+    "# parameter_ranges = {\n",
+    "#     \"Imax\":  (6.27, 6.28),            # Maximum interception storage\n",
+    "#     \"Ce\":    (0.48, 0.49),       # Evaporation correction factor\n",
+    "#     \"Sumax\": (174, 175),         # Maximum soil moisture storage\n",
+    "#     \"Beta\":  (1.95, 1.96),          # Soil runoff parameter\n",
+    "#     \"Pmax\":  (0.33, 0.34),            # Maximum percolation rate\n",
+    "#     \"Tlag\":  (6.19, 6.2),           # Time lag\n",
+    "#     \"Kf\":    (0.07, 0.08),       # Fast reservoir recession coefficient\n",
+    "#     \"Ks\":    (0.004, 0.0045),     # Slow reservoir recession coefficient\n",
+    "#     \"FM\":    (0.4, 0.41),          # Snowmelt factor\n",
+    "# }\n",
+    "\n",
+    "# Convert to arrays\n",
+    "parameter_names = list(parameter_ranges.keys())\n",
+    "\n",
+    "p_min = np.array([parameter_ranges[name][0] for name in parameter_names])\n",
+    "p_max = np.array([parameter_ranges[name][1] for name in parameter_names])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fc6ef77d-95ba-4277-ab8c-654fa025894d",
+   "metadata": {},
+   "source": [
+    "### Create samples"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "id": "47df771f-85c1-40a7-9e28-a6dfb3134514",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">[</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6.80249015e+00</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5.65401972e-01</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.78915109e+02</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.87292908e+00</span>\n",
+       " <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3.22401035e-01</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5.31882812e+00</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7.44797112e-02</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.33066933e-02</span>\n",
+       " <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">8.08732039e-01</span><span style=\"font-weight: bold\">]</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1m[\u001b[0m\u001b[1;36m6.80249015e+00\u001b[0m \u001b[1;36m5.65401972e-01\u001b[0m \u001b[1;36m1.78915109e+02\u001b[0m \u001b[1;36m1.87292908e+00\u001b[0m\n",
+       " \u001b[1;36m3.22401035e-01\u001b[0m \u001b[1;36m5.31882812e+00\u001b[0m \u001b[1;36m7.44797112e-02\u001b[0m \u001b[1;36m1.33066933e-02\u001b[0m\n",
+       " \u001b[1;36m8.08732039e-01\u001b[0m\u001b[1m]\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "### Create samples\n",
+    "N = 800\n",
+    "par_samples = np.random.rand(N, len(parameter_ranges))                  # Generates random values between 0-1\n",
+    "parameter_sets = p_min + par_samples * (p_max - p_min)                  # Fits value to parameter range\n",
+    "\n",
+    "print(parameter_sets[:][0])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e22418a9-e4ba-4890-85a8-abcfd66c85f2",
+   "metadata": {},
+   "source": [
+    "### Define time period"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "id": "9c72add6-8b9f-4b3e-9e9f-77406215c196",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Define time period\n",
+    "calibration_start_date = pd.to_datetime(calibration_start.replace(\"Z\", \"\"))\n",
+    "calibration_end_date = pd.to_datetime(calibration_end.replace(\"Z\", \"\"))\n",
+    "\n",
+    "# Skip 1 year for calibration\n",
+    "evaluation_start = pd.to_datetime(f\"{calibration_start_date.year + 1}-01-01\")\n",
+    "\n",
+    "# Align q_obs\n",
+    "q_obs = q_obs[(q_obs[\"Date\"] >= calibration_start_date) & (q_obs[\"Date\"] <= calibration_end_date)]\n",
+    "observed_output = pd.Series(data=q_obs[\"discharge_m3s\"].to_numpy(), name=\"Observed discharge\", index=q_obs[\"Date\"])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "645d5bb0-de70-4b97-9aa0-93094c91ebe6",
+   "metadata": {},
+   "source": [
+    "## Calibration start function"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "id": "0f58e61f-7178-44f8-8e5e-e1fa402813c9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create function to run the model\n",
+    "\n",
+    "def run_hbv(parameters, initial_storages, forcing):\n",
+    "\n",
+    "    # Create model object\n",
+    "    model = ewatercycle.models.HBV(forcing=forcing)\n",
+    "\n",
+    "    # Create config file\n",
+    "    config_file, _ = model.setup(\n",
+    "        parameters=parameters,\n",
+    "        initial_storages=initial_storages,\n",
+    "        cfg_dir=calibration_temp\n",
+    "    )\n",
+    "\n",
+    "    # Initialising model\n",
+    "    model.initialize(config_file)\n",
+    "\n",
+    "    # Define & update outputs \n",
+    "    Q_m = []\n",
+    "    time = []\n",
+    "\n",
+    "    while model.time < model.end_time:\n",
+    "        model.update()\n",
+    "        Q_m.append(model.get_value(\"Q\")[0])\n",
+    "        time.append(pd.Timestamp(model.time_as_datetime))\n",
+    "\n",
+    "    model.finalize()\n",
+    "\n",
+    "    # Convert mm/day to m3/s\n",
+    "    model_output_mmday = pd.Series(\n",
+    "        data=Q_m, \n",
+    "        index=time, \n",
+    "        name=\"Modelled discharge\"\n",
+    "    )\n",
+    "    model_output_m3s = model_output_mmday * basin_size * 1000 / 86400\n",
+    "\n",
+    "    return model_output_m3s"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1e93b5d4-0a92-4d09-b135-07101e614d9e",
+   "metadata": {},
+   "source": [
+    "### Run HBV loop"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "577e23e5-8db6-45a1-b91b-aae3a46b6c12",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "a9d69eee22c54891b96f15b48a0ce521",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "IntProgress(value=0, max=800)"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m1\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m2\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m3\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m4\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m5\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m6\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m7\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">8</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m8\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">9</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m9\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">10</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m10\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">11</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m11\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">12</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m12\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">13</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m13\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">14</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m14\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">15</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m15\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">16</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m16\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">17</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m17\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">18</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m18\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">19</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m19\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">20</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m20\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">21</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m21\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">22</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m22\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">23</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m23\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">24</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m24\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">25</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m25\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">26</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m26\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">27</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m27\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">28</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m28\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">29</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m29\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">30</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m30\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">31</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m31\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">32</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m32\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">33</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m33\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">34</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m34\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">35</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m35\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">36</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m36\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">37</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m37\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">38</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m38\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">39</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m39\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">40</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m40\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">41</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m41\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">42</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m42\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">43</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m43\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">44</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m44\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">45</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m45\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">46</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m46\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">47</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m47\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">48</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m48\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">49</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m49\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">50</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m50\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">51</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m51\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">52</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m52\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">53</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m53\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">54</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m54\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">55</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m55\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">56</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m56\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">57</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m57\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">58</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m58\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">59</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m59\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">60</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m60\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">61</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m61\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">62</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m62\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">63</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m63\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">64</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m64\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">65</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m65\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">66</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m66\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">67</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m67\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">68</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m68\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">69</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m69\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">70</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m70\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">71</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m71\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">72</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m72\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">73</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m73\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">74</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m74\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">75</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m75\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">76</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m76\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">77</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m77\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">78</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m78\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">79</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m79\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">80</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m80\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">81</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m81\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">82</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m82\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">83</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m83\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">84</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m84\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">85</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m85\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">86</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m86\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">87</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m87\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">88</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m88\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">89</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m89\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">90</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m90\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">91</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m91\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">92</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m92\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">93</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m93\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">94</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m94\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">95</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m95\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">96</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m96\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">97</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m97\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">98</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m98\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">99</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m99\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">100</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m100\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">101</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m101\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">102</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m102\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">103</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m103\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">104</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m104\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">105</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m105\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">106</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m106\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">107</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m107\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">108</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m108\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">109</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m109\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">110</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m110\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">111</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m111\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">112</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m112\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">113</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m113\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">114</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m114\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">115</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m115\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">116</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m116\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">117</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m117\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">118</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m118\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">119</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m119\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">120</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m120\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">121</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m121\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">122</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m122\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">123</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m123\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">124</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m124\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">125</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m125\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">126</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m126\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">127</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m127\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">128</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m128\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">129</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m129\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">130</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m130\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">131</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m131\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">132</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m132\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">133</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m133\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">134</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m134\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">135</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m135\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">136</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m136\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">137</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m137\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">138</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m138\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">139</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m139\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">140</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m140\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">141</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m141\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">142</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m142\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">143</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m143\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">144</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m144\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">145</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m145\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">146</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m146\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">147</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m147\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">148</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m148\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">149</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m149\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">150</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m150\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">151</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m151\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">152</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m152\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">153</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m153\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">154</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m154\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">155</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m155\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">156</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m156\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">157</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m157\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">158</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m158\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">159</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m159\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">160</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m160\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">161</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m161\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">162</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m162\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">163</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m163\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">164</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m164\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">165</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m165\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">166</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m166\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">167</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m167\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">168</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m168\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">169</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m169\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">170</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m170\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">171</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m171\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">172</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m172\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">173</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m173\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">174</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m174\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">175</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m175\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">176</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m176\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">177</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m177\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">178</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m178\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">179</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m179\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">180</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m180\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">181</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m181\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">182</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m182\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">183</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m183\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">184</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m184\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">185</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m185\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">186</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m186\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">187</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m187\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">188</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m188\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">189</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m189\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">190</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m190\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">191</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m191\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">192</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m192\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">193</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m193\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">194</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m194\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">195</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m195\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">196</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m196\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">197</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m197\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">198</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m198\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">199</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m199\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">200</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m200\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">201</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m201\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">202</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m202\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">203</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m203\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">204</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m204\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">205</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m205\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">206</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m206\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">207</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m207\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">208</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m208\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">209</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m209\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">210</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m210\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">211</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m211\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">212</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m212\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">213</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m213\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">214</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m214\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">215</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m215\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">216</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m216\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">217</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m217\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">218</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m218\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">219</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m219\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">220</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m220\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">221</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m221\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">222</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m222\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">223</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m223\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">224</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m224\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">225</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m225\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">226</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m226\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">227</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m227\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">228</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m228\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">229</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m229\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">230</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m230\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">231</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m231\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">232</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m232\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">233</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m233\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">234</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m234\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">235</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m235\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">236</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m236\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">237</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m237\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">238</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m238\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">239</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m239\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">240</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m240\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">241</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m241\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">242</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m242\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">243</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m243\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">244</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m244\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">245</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m245\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">246</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m246\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">247</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m247\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">248</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m248\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">249</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m249\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">250</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m250\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">251</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m251\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">252</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m252\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">253</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m253\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">254</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m254\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">255</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m255\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">256</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m256\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">257</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m257\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">258</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m258\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">259</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m259\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">260</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m260\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">261</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m261\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">262</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m262\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">263</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m263\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">264</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m264\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">265</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m265\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">266</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m266\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">267</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m267\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">268</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m268\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">276</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m276\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">277</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m277\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">278</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m278\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">279</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m279\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">280</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m280\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">281</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m281\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">282</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m282\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">283</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m283\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">284</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m284\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">285</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m285\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">286</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m286\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">287</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m287\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">288</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m288\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">289</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m289\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">290</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m290\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">291</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m291\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">292</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m292\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">293</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m293\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">294</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m294\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">295</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m295\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">296</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m296\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">297</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m297\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">298</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m298\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">299</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m299\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m300\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">301</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m301\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">302</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m302\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">303</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m303\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">304</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m304\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">305</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m305\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">306</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m306\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">307</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m307\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">308</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m308\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">309</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m309\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">310</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m310\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">311</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m311\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">312</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m312\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">313</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m313\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">314</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m314\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">315</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m315\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">316</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m316\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">317</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m317\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">318</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m318\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">319</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m319\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">320</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m320\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">321</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m321\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">322</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m322\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">323</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m323\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">324</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m324\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">325</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m325\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">326</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m326\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">327</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m327\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">328</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m328\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">329</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m329\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">330</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m330\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">331</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m331\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">332</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m332\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">333</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m333\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">334</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m334\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">335</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m335\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">336</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m336\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">337</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m337\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">338</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m338\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">339</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m339\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">340</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m340\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">341</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m341\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">342</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m342\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">343</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m343\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">344</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m344\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">345</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m345\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">346</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m346\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">347</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m347\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">348</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m348\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">349</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m349\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">350</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m350\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">351</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m351\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">352</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m352\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">353</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m353\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">354</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m354\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">355</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m355\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">356</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m356\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">357</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m357\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">358</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m358\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">359</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m359\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">360</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m360\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">361</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m361\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">362</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m362\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">363</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m363\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">364</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m364\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">365</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m365\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">366</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m366\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">367</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m367\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">368</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m368\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">369</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m369\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">370</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m370\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">371</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m371\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">372</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m372\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">373</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m373\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">374</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m374\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">375</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m375\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">376</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m376\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">377</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m377\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">378</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m378\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">379</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m379\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">380</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m380\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">381</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m381\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">382</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m382\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">383</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m383\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">384</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m384\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">385</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m385\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">386</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m386\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">387</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m387\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">388</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m388\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">389</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m389\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">390</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m390\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">391</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m391\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">392</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m392\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">393</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m393\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">394</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m394\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">395</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m395\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">396</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m396\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">397</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m397\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">398</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m398\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">399</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m399\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">400</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m400\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">401</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m401\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">402</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m402\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">403</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m403\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">404</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m404\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">405</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m405\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">406</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m406\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">407</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m407\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">408</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m408\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">409</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m409\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">410</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m410\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">411</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m411\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">412</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m412\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">413</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m413\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">414</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m414\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">415</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m415\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">416</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m416\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">417</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m417\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">418</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m418\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">419</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m419\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">420</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m420\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">421</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m421\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">422</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m422\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">423</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m423\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">424</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m424\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">425</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m425\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">426</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m426\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">427</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m427\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">428</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m428\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">429</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m429\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">430</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m430\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">431</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m431\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">432</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m432\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">433</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m433\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">434</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m434\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">435</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m435\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">436</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m436\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">437</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m437\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">438</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m438\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">439</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m439\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">440</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m440\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">441</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m441\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">442</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m442\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">443</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m443\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">444</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m444\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">445</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m445\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">446</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m446\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">447</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m447\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">448</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m448\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">449</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m449\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">450</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m450\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">451</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m451\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">452</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m452\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">453</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m453\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">454</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m454\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">455</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m455\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">456</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m456\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">457</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m457\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">458</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m458\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">459</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m459\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">460</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m460\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">461</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m461\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">462</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m462\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">463</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m463\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">464</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m464\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">465</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m465\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">466</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m466\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">467</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m467\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">468</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m468\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">469</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m469\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">470</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m470\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">471</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m471\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">472</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m472\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">473</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m473\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">474</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m474\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">475</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m475\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">476</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m476\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">477</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m477\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">478</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m478\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">479</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m479\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">480</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m480\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">481</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m481\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">482</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m482\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">483</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m483\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">484</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m484\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">485</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m485\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">486</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m486\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">487</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m487\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">488</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m488\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">489</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m489\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">490</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m490\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">491</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m491\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">492</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m492\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">493</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m493\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">494</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m494\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">495</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m495\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">496</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m496\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">497</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m497\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">498</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m498\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">499</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m499\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">500</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m500\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">501</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m501\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">502</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m502\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">503</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m503\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">504</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m504\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">505</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m505\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">506</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m506\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">507</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m507\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">508</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m508\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">509</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m509\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">510</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m510\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">511</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m511\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">512</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m512\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">513</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m513\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">514</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m514\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">515</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m515\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">516</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m516\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">517</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m517\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">518</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m518\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">519</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m519\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">520</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m520\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">521</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m521\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">522</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m522\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">523</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m523\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">524</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m524\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">525</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m525\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">526</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m526\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">527</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m527\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">528</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m528\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">529</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m529\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">530</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m530\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">531</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m531\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">532</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m532\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">533</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m533\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">534</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m534\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">535</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m535\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">536</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m536\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">537</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m537\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">538</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m538\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">539</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m539\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">540</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m540\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">541</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m541\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">542</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m542\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">543</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m543\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">544</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m544\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">545</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m545\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">546</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m546\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">547</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m547\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">548</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m548\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">549</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m549\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">550</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m550\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">551</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m551\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">552</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m552\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">553</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m553\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">554</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m554\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">555</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m555\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">556</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m556\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">557</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m557\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">558</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m558\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">559</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m559\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">560</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m560\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">561</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m561\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">562</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m562\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">563</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m563\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">564</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m564\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">565</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m565\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">566</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m566\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">567</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m567\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">568</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m568\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">569</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m569\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">570</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m570\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">571</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m571\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">572</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m572\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">573</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m573\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">574</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m574\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">575</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m575\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">576</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m576\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">577</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m577\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">578</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m578\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">579</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m579\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">580</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m580\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">581</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m581\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">582</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m582\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">583</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m583\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">584</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m584\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">585</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m585\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">586</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m586\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">587</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m587\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">588</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m588\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">589</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m589\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">590</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m590\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">591</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m591\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">592</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m592\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">593</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m593\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">594</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m594\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">595</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m595\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">596</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m596\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">597</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m597\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">598</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m598\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">599</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m599\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m600\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">601</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m601\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">602</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m602\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">603</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m603\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">604</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m604\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">605</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m605\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">606</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m606\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">607</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m607\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">608</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m608\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">609</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m609\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">610</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m610\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">611</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m611\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">612</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m612\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">613</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m613\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">614</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m614\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">615</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m615\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">616</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m616\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">617</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m617\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">618</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m618\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">619</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m619\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">620</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m620\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">621</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m621\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">622</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m622\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">623</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m623\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">624</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m624\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">625</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m625\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">626</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m626\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">627</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m627\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">628</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m628\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">629</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m629\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">630</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m630\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">631</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m631\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">632</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m632\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">633</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m633\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">634</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m634\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">635</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m635\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">636</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m636\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">637</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m637\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">638</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m638\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">639</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m639\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">640</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m640\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">641</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m641\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">642</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m642\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">643</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m643\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">644</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m644\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">645</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m645\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">646</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m646\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">647</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m647\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">648</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m648\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">649</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m649\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">650</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m650\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">651</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m651\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">652</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m652\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">653</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m653\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">654</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m654\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">655</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m655\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">656</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m656\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">657</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m657\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">658</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m658\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">659</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m659\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">660</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m660\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">661</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m661\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">662</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m662\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">663</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m663\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">664</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m664\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">665</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m665\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">666</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m666\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">667</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m667\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">668</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m668\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">669</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m669\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">670</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m670\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">671</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m671\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">672</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m672\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">673</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m673\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">674</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m674\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">675</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m675\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">676</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m676\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">677</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m677\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">678</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m678\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">679</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m679\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">680</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m680\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">681</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m681\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">682</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m682\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">683</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m683\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">684</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m684\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">685</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m685\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">686</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m686\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">687</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m687\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">688</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m688\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">689</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m689\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">690</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m690\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">691</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m691\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">692</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m692\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">693</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m693\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">694</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m694\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">695</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m695\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">696</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m696\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">697</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m697\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">698</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m698\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">699</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m699\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">700</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m700\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">701</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m701\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">702</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m702\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">703</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m703\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">704</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m704\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">705</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m705\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">706</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m706\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">707</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m707\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">708</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m708\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">709</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m709\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">710</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m710\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">711</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m711\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">712</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m712\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">713</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m713\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">714</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m714\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">715</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m715\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">716</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m716\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">717</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m717\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">718</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m718\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">719</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m719\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">720</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m720\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">721</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m721\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">722</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m722\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">723</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m723\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">724</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m724\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">725</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m725\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">726</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m726\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "E0521 18:35:50.071878440  529556 backup_poller.cc:113]                 run_poller: UNKNOWN:Timer list shutdown {created_time:\"2026-05-21T18:35:50.071839715+02:00\"}\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">727</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m727\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">728</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m728\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">729</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m729\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">730</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m730\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">731</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m731\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">732</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m732\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">733</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m733\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">734</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m734\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">735</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m735\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">736</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m736\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">737</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m737\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">738</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m738\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">739</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m739\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">740</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m740\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">741</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m741\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">742</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m742\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">743</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m743\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">744</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m744\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">745</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m745\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">746</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m746\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">747</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m747\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">748</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m748\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">749</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m749\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">750</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m750\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">751</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m751\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">752</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m752\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">753</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m753\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">754</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m754\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">755</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m755\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">756</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m756\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">757</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m757\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">758</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m758\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">759</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m759\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">760</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m760\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">761</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m761\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">762</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m762\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">763</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m763\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">764</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m764\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">765</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m765\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">766</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m766\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">767</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m767\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">768</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m768\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">769</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m769\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">770</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m770\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">771</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m771\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">772</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m772\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">773</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m773\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">774</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m774\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">775</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m775\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">776</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m776\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">777</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m777\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">778</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m778\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">779</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m779\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">780</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m780\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">781</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m781\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">782</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m782\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">783</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m783\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">784</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m784\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">785</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m785\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">786</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m786\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">787</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m787\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">788</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m788\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">789</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m789\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">790</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m790\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">791</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m791\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">792</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m792\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">793</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m793\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">794</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m794\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">795</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m795\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">796</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m796\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">797</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m797\u001b[0m/\u001b[1;36m800\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "results = []\n",
+    "\n",
+    "# Progress bar for visualization\n",
+    "f = IntProgress(min=0, max=N)\n",
+    "display(f)\n",
+    "\n",
+    "for i in range(N):\n",
+    "    print(f\"Running parameter set {i+1}/{N}\")\n",
+    "\n",
+    "    simulated = run_hbv(\n",
+    "        parameters=parameter_sets[i], \n",
+    "        initial_storages=s_0, \n",
+    "        forcing=ERA5_forcing\n",
+    "    )\n",
+    "\n",
+    "    # Filter data by day only, not by day & time to prevent alignment issues\n",
+    "    simulated_daily = simulated\n",
+    "    observed_daily = observed_output\n",
+    "\n",
+    "    simulated_daily.index = pd.to_datetime(simulated_daily.index).tz_localize(None).normalize()\n",
+    "    observed_daily.index = pd.to_datetime(observed_daily.index).tz_localize(None).normalize()\n",
+    "    \n",
+    "    # Align simulated and observed data\n",
+    "    combined_data = pd.DataFrame(\n",
+    "        {\"Modelled discharge\": simulated_daily, \n",
+    "        \"Observed discharge\": observed_daily}\n",
+    "    ).dropna()\n",
+    "\n",
+    "    # Skip first year as warm-up\n",
+    "    combined_data = combined_data[\n",
+    "        (combined_data.index >= evaluation_start) &\n",
+    "        (combined_data.index <= calibration_end_date)\n",
+    "    ]\n",
+    "\n",
+    "    # Exclude ice-affected winter period\n",
+    "    combined_data = combined_data[\n",
+    "        ~combined_data.index.month.isin([11, 12, 1, 2, 3, 4])\n",
+    "    ]\n",
+    "\n",
+    "    # Append results and drop nan\n",
+    "    if combined_data.empty:\n",
+    "        print(f\"No overlapping data for parameter set {i+1}\")\n",
+    "        nse = np.nan\n",
+    "        log_nse = np.nan\n",
+    "    else:\n",
+    "        nse = NSE(\n",
+    "            combined_data[\"Modelled discharge\"], \n",
+    "            combined_data[\"Observed discharge\"]\n",
+    "        )\n",
+    "        log_nse = log_NSE(\n",
+    "            combined_data[\"Modelled discharge\"], \n",
+    "            combined_data[\"Observed discharge\"]\n",
+    "        )\n",
+    "        \n",
+    "    results.append({\n",
+    "        \"run\": i,\n",
+    "        \"NSE\": nse,\n",
+    "        \"log_NSE\": log_nse,\n",
+    "        \"parameters\": parameter_sets[i]\n",
+    "    })"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2d7b5f35-f872-4ef5-8ced-c92cdd81c8f8",
+   "metadata": {},
+   "source": [
+    "### Display best results"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4c69f827-adda-4ec9-8863-abf0ba31e0d2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "results = pd.DataFrame(results)\n",
+    "\n",
+    "print(results[[\"run\", \"NSE\", \"log_NSE\"]])\n",
+    "\n",
+    "# Best NSE\n",
+    "best_run_nse = results[\"NSE\"].idxmax()\n",
+    "best_result_nse = results.loc[best_run_nse]\n",
+    "\n",
+    "best_parameters_nse = best_result_nse[\"parameters\"]\n",
+    "best_nse = best_result_nse[\"NSE\"]\n",
+    "\n",
+    "print(f'Best run: {best_run_nse} with NSE: {best_nse}, with parameters:')\n",
+    "print(list(zip(parameter_names, best_parameters_nse)))\n",
+    "\n",
+    "# Best log_NSE\n",
+    "best_run_log_nse = results[\"log_NSE\"].idxmax()\n",
+    "best_result_log_nse = results.loc[best_run_log_nse]\n",
+    "\n",
+    "best_parameters_log_nse = best_result_log_nse[\"parameters\"]\n",
+    "best_log_nse = best_result_log_nse[\"log_NSE\"]\n",
+    "\n",
+    "print(f'Best run: {best_run_log_nse} with log_NSE: {best_log_nse}, with parameters:')\n",
+    "print(list(zip(parameter_names, best_parameters_log_nse)))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "bb2f1f27-9a79-41fa-b416-e32bbee15075",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Get ensemble \n",
+    "\n",
+    "best_5_runs = results[\"log_NSE\"].nlargest(5).index\n",
+    "\n",
+    "best_5_parameters = []\n",
+    "best_5_LNSE = []\n",
+    "\n",
+    "for i in range(len(best_5_runs)):\n",
+    "\n",
+    "    run = best_5_runs[i]\n",
+    "    result = results.loc[run]\n",
+    "\n",
+    "    parameters = result[\"parameters\"]\n",
+    "    lnse = result[\"log_NSE\"]\n",
+    "\n",
+    "    best_5_parameters.append(parameters)\n",
+    "    best_5_LNSE.append(log_nse)\n",
+    "\n",
+    "    print(f\"Rank {i+1}: run {run} with LNSE: {lnse}\")\n",
+    "    print(list(zip(parameter_names, parameters)))\n",
+    "    print()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "127ab139-2d7a-43ad-b012-11188e931c9c",
+   "metadata": {},
+   "source": [
+    "### Plot Observed vs Modelled"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "aeb2ea7e-9826-450f-880e-e1e5e72c9dba",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Overall Plot\n",
+    "\n",
+    "q_critical = 500\n",
+    "\n",
+    "simulated_calibrated_nse = run_hbv(\n",
+    "    parameters=best_parameters_nse,\n",
+    "    initial_storages=s_0,\n",
+    "    forcing=ERA5_forcing\n",
+    ")\n",
+    "\n",
+    "simulated_calibrated_log_nse = run_hbv(\n",
+    "    parameters=best_parameters_log_nse,\n",
+    "    initial_storages=s_0,\n",
+    "    forcing=ERA5_forcing\n",
+    ")\n",
+    "\n",
+    "# Align dates\n",
+    "simulated_plot_nse = simulated_calibrated_nse\n",
+    "simulated_plot_log_nse = simulated_calibrated_log_nse\n",
+    "observed_plot = observed_output\n",
+    "\n",
+    "simulated_plot_nse.index = pd.to_datetime(simulated_plot_nse.index).tz_localize(None).normalize()\n",
+    "simulated_plot_log_nse.index = pd.to_datetime(simulated_plot_log_nse.index).tz_localize(None).normalize()\n",
+    "observed_plot.index = pd.to_datetime(observed_plot.index).tz_localize(None).normalize()\n",
+    "\n",
+    "# Combine modelled and observed data\n",
+    "plot_data = pd.DataFrame({\n",
+    "    \"Modelled discharge NSE\": simulated_plot_nse,\n",
+    "    \"Modelled discharge log_NSE\": simulated_plot_log_nse,\n",
+    "    \"Observed discharge\": observed_plot\n",
+    "}).dropna()\n",
+    "\n",
+    "# Calculate NSE & log NSE for plotted data\n",
+    "plot_nse = NSE(\n",
+    "    plot_data[\"Modelled discharge NSE\"],\n",
+    "    plot_data[\"Observed discharge\"]\n",
+    ")\n",
+    "\n",
+    "plot_log_nse = log_NSE(\n",
+    "    plot_data[\"Modelled discharge log_NSE\"],\n",
+    "    plot_data[\"Observed discharge\"]\n",
+    ")\n",
+    "\n",
+    "# Plot\n",
+    "plt.figure(figsize=(14, 6))\n",
+    "plt.plot(plot_data.index, plot_data[\"Observed discharge\"], label=\"Observed discharge\")\n",
+    "# plt.plot(plot_data.index, plot_data[\"Modelled discharge NSE\"], label=\"Modelled discharge NSE\")\n",
+    "plt.plot(plot_data.index, plot_data[\"Modelled discharge log_NSE\"], label=\"Modelled discharge log_NSE\")\n",
+    "\n",
+    "plt.xlabel(\"Date\")\n",
+    "plt.ylabel(\"Discharge (m³/s)\")\n",
+    "plt.title(f\"Observed vs modelled discharge at 07DA001, NSE = {best_nse:.3f}, log NSE = {best_log_nse:.3f}\")\n",
+    "plt.axhline(y=q_critical, linestyle=\":\", label=f'Critical discharge ({q_critical} m³/s', color='black')\n",
+    "plt.legend()\n",
+    "plt.grid(True)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e0743eb6-3efd-435c-866f-d0ea2bddfea8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Plot for 1 year\n",
+    "\n",
+    "selected_year = 2015\n",
+    "\n",
+    "plot_data_year = plot_data[plot_data.index.year == selected_year]\n",
+    "\n",
+    "plt.figure(figsize=(14, 6))\n",
+    "\n",
+    "plt.plot(plot_data_year.index,plot_data_year[\"Observed discharge\"],label=\"Observed discharge\")\n",
+    "# plt.plot(plot_data_year.index,plot_data_year[\"Modelled discharge NSE\"],label=\"Modelled discharge NSE\")\n",
+    "plt.plot(plot_data_year.index,plot_data_year[\"Modelled discharge log_NSE\"],label=\"Modelled discharge log_NSE\", color=\"green\")\n",
+    "\n",
+    "plt.axhline(y=q_critical,linestyle=\":\",color=\"black\",label=f\"Critical discharge ({q_critical} m³/s)\")\n",
+    "\n",
+    "plt.xlabel(\"Date\")\n",
+    "plt.ylabel(\"Discharge (m³/s)\")\n",
+    "plt.title(f\"Observed vs modelled discharge at 07DA001 in {selected_year}\")\n",
+    "plt.legend()\n",
+    "plt.grid(True)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "dde634ea-53bd-4c41-ba13-8ec762014b89",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Calculate RMSE for best parameter sets NSE and log_NSE\n",
+    "\n",
+    "rmse_nse = RMSE(\n",
+    "    plot_data[\"Modelled discharge NSE\"],\n",
+    "    plot_data[\"Observed discharge\"]\n",
+    ")\n",
+    "\n",
+    "rmse_log_nse = RMSE(\n",
+    "    plot_data[\"Modelled discharge log_NSE\"],\n",
+    "    plot_data[\"Observed discharge\"]\n",
+    ")\n",
+    "\n",
+    "print(f\"RMSE for best NSE parameter set: {rmse_nse:.3f} m³/s\")\n",
+    "print(f\"RMSE for best log_NSE parameter set: {rmse_log_nse:.3f} m³/s\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "db083f00-6ca7-47a1-8792-c46df17f15ed",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/Workyard/ERA5_Forcings_Generation.ipynb b/Workyard/ERA5_Forcings_Generation.ipynb
new file mode 100644
index 00000000..d7977e49
--- /dev/null
+++ b/Workyard/ERA5_Forcings_Generation.ipynb
@@ -0,0 +1,580 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "e91181a8-c60f-456f-80cc-3923bf7c6a43",
+   "metadata": {},
+   "source": [
+    "# ERA5 Data generation & merging \n",
+    "\n",
+    "ERA5 data will be generated from 1970-2025, loaded and merged into one file"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "680410be-715a-4678-a4e3-c1141939241e",
+   "metadata": {},
+   "source": [
+    "## Start-up"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "7ef3318e-968e-418e-bf4c-a8936aade9a5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# general python\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\", category=UserWarning)\n",
+    "\n",
+    "import numpy as np\n",
+    "from pathlib import Path\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import xarray as xr\n",
+    "\n",
+    "#niceties\n",
+    "from rich import print\n",
+    "\n",
+    "import yaml"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "f7ff029b-ee4b-4fe2-b5d5-bf768b626989",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General eWaterCycle\n",
+    "import ewatercycle\n",
+    "import ewatercycle.models\n",
+    "import ewatercycle.forcing"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "74c8c15e-8cab-4e1a-b6eb-c9c165d8c051",
+   "metadata": {},
+   "source": [
+    "### Define range & forcing paths"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "b2343410-2713-4089-ae42-dad37b457c41",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">ERA5-2019-2021</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/\u001b[0m\u001b[95mERA5-2019-2021\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2022</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1;36m2022\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2024</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1;36m2024\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Defining period range\n",
+    "# periods = [\n",
+    "#     [1970, 1975, 1980, 1985, 1990, 1995, 2000, 2005, 2010, 2015, 2020],\n",
+    "#     [1974, 1979, 1984, 1989, 1994, 1999, 2004, 2009, 2014, 2019, 2024]\n",
+    "# ]\n",
+    "\n",
+    "# For calibration 1:\n",
+    "# periods = [\n",
+    "#     [1990, 1995, 2000, 2005, 2010],\n",
+    "#     [1994, 1999, 2004, 2009, 2017]\n",
+    "# ]\n",
+    "\n",
+    "# For calibration 2:\n",
+    "# periods = [\n",
+    "#     [1999, 2005, 2010, 2018],\n",
+    "#     [2004, 2009, 2017, 2019]\n",
+    "# ]\n",
+    "\n",
+    "# For validation 1:\n",
+    "# periods = [\n",
+    "#     [2018, 2022],\n",
+    "#     [2021, 2024]\n",
+    "# ]\n",
+    "\n",
+    "# For validation 2:\n",
+    "periods = [\n",
+    "    [2019, 2022],\n",
+    "    [2021, 2024]\n",
+    "]\n",
+    "\n",
+    "folder_names = []\n",
+    "forcing_paths = {}\n",
+    "\n",
+    "# Generate file names & paths\n",
+    "for i in range(len(periods[0])):\n",
+    "    start_year = periods[0][i]\n",
+    "    end_year = periods[1][i]\n",
+    "    \n",
+    "    folder_name = f'ERA5-{start_year}-{end_year}'                         # Add -cal or -val for cal and val folder name\n",
+    "    forcing_path = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / folder_name\n",
+    "\n",
+    "    folder_names.append(folder_name)\n",
+    "    forcing_paths[folder_name] = forcing_path\n",
+    "\n",
+    "    forcing_path.mkdir(exist_ok=True, parents=True)\n",
+    "\n",
+    "# Call path test\n",
+    "print(forcing_paths[folder_names[0]])\n",
+    "\n",
+    "print(periods[0][1])\n",
+    "\n",
+    "print(periods[1][-1])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "619dd21a-0646-4bae-a71b-935f1fca8c04",
+   "metadata": {},
+   "source": [
+    "### Generate ERA5 data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "cbc7b2b6-88ee-4e7f-b37c-39eaf878c075",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Finished ERA5-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2019</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2021</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Finished ERA5-\u001b[1;36m2019\u001b[0m-\u001b[1;36m2021\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Skipping ERA5-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2022</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2024</span> because the folder is not empty.\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Skipping ERA5-\u001b[1;36m2022\u001b[0m-\u001b[1;36m2024\u001b[0m because the folder is not empty.\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Shapefile path\n",
+    "shape_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "\n",
+    "# Generate forcing data\n",
+    "# for i in range(1):\n",
+    "for i in range(len(folder_names)):\n",
+    "    # Change start year to start time so ERA5 can interpret it\n",
+    "    start_time_ERA5 = f'{periods[0][i]}-01-01T00:00:00Z'\n",
+    "    end_time_ERA5 = f'{periods[1][i]}-12-31T00:00:00Z'\n",
+    "\n",
+    "    # Skip if folder is not empty to prevent errors\n",
+    "    if any(forcing_paths[folder_names[i]].iterdir()):\n",
+    "        print(f\"Skipping {folder_names[i]} because the folder is not empty.\")\n",
+    "        continue\n",
+    "\n",
+    "    # Load forcings\n",
+    "    ERA5_forcing = ewatercycle.forcing.sources['LumpedMakkinkForcing'].generate(\n",
+    "        dataset=\"ERA5\",\n",
+    "        start_time=start_time_ERA5,\n",
+    "        end_time=end_time_ERA5,\n",
+    "        shape=shape_file,\n",
+    "        directory=forcing_paths[folder_names[i]]\n",
+    "    )\n",
+    "\n",
+    "    # I need info because my patience is limited\n",
+    "    print(f\"Finished {folder_names[i]}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "91242ae4-3d21-4d18-815f-5cc986d5961e",
+   "metadata": {},
+   "source": [
+    "### Load ERA5 data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "f8e8ac64-fee5-4602-a1f1-90b8fb14c2b2",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">[</span><span style=\"color: #008000; text-decoration-color: #008000\">'ERA5-2019-2021'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'ERA5-2022-2024'</span><span style=\"font-weight: bold\">]</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1m[\u001b[0m\u001b[32m'ERA5-2019-2021'\u001b[0m, \u001b[32m'ERA5-2022-2024'\u001b[0m\u001b[1m]\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "LumpedMakkinkForcing(start_time='2019-01-01T00:00:00Z', end_time='2021-12-31T00:00:00Z', directory=PosixPath('/home/maxime/BEP-maxime/Workyard/forcings/ERA5-2019-2021/work/diagnostic/script'), shape=PosixPath('/home/maxime/BEP-maxime/Workyard/forcings/ERA5-2019-2021/work/diagnostic/script/07DA001_basin.shp'), filenames={'pr': 'OBS6_ERA5_reanaly_1_day_pr_2019-2021.nc', 'tas': 'OBS6_ERA5_reanaly_1_day_tas_2019-2021.nc', 'rsds': 'OBS6_ERA5_reanaly_1_day_rsds_2019-2021.nc', 'evspsblpot': 'Derived_Makkink_evspsblpot.nc'})"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ERA5_forcings = {}\n",
+    "\n",
+    "for i in range(len(folder_names)):\n",
+    "    # Create new path to find relevant files in the folder\n",
+    "    directory_new = forcing_paths[folder_names[i]] / \"work\" / \"diagnostic\" / \"script\"\n",
+    "\n",
+    "    # Load forcings\n",
+    "    ERA5_forcings[folder_names[i]] = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=directory_new)\n",
+    "\n",
+    "# Test to see if it works\n",
+    "print(folder_names)\n",
+    "ERA5_forcings[folder_names[0]]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c8eddb25-06e3-4702-87e8-258aeda27a15",
+   "metadata": {},
+   "source": [
+    "### Merge ERA5 data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "1cb12aa2-4b4c-4108-a5c9-2d8156cdecfe",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Function to seperate files based on file names and combine same file names from different folders\n",
+    "def combine_variable(var_name):\n",
+    "    datasets = []\n",
+    "\n",
+    "    for i in range(len(folder_names)):\n",
+    "\n",
+    "        if var_name == \"evspsblpot\":\n",
+    "            file_name = \"Derived_Makkink_evspsblpot.nc\"\n",
+    "        else:\n",
+    "            file_name = f\"OBS6_ERA5_reanaly_1_day_{var_name}_{periods[0][i]}-{periods[1][i]}.nc\"\n",
+    "\n",
+    "        directory = forcing_paths[folder_names[i]] / \"work\" / \"diagnostic\" / \"script\" / file_name\n",
+    "\n",
+    "        print(f\"Loading {directory}\")\n",
+    "\n",
+    "        datasets.append(xr.open_dataset(directory))\n",
+    "\n",
+    "    combined = xr.concat(datasets, dim=\"time\")\n",
+    "    return combined"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "b21fe2e4-478a-4e0b-9f1f-a40316e22018",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-2019-2021/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_pr_2019-202</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">1.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-2019-2021/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_pr_2019-202\u001b[0m\n",
+       "\u001b[95m1.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-2022-2024/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_pr_2022-202</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">4.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-2022-2024/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_pr_2022-202\u001b[0m\n",
+       "\u001b[95m4.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-2019-2021/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_tas_2019-20</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">21.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-2019-2021/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_tas_2019-20\u001b[0m\n",
+       "\u001b[95m21.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-2022-2024/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_tas_2022-20</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">24.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-2022-2024/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_tas_2022-20\u001b[0m\n",
+       "\u001b[95m24.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-2019-2021/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_rsds_2019-2</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">021.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-2019-2021/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_rsds_2019-2\u001b[0m\n",
+       "\u001b[95m021.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-2022-2024/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_rsds_2022-2</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">024.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-2022-2024/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_rsds_2022-2\u001b[0m\n",
+       "\u001b[95m024.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-2019-2021/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_evspsblpot.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-2019-2021/work/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_evspsblpot.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-2022-2024/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_evspsblpot.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-2022-2024/work/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_evspsblpot.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Running function for various file name types\n",
+    "combined_variables = {}\n",
+    "var_names = [\"pr\", \"tas\", \"rsds\", \"evspsblpot\"]\n",
+    "\n",
+    "combined_path = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / f'ERA5-{periods[0][0]}-{periods[1][-1]}'\n",
+    "combined_path.mkdir(parents=True, exist_ok=True)\n",
+    "\n",
+    "for i in range(len(var_names)):\n",
+    "    combined_variables[var_names[i]] = combine_variable(var_names[i])\n",
+    "    combined_variables[var_names[i]].to_netcdf(combined_path / f'combined_ERA5_{periods[0][0]}_{periods[1][-1]}_{var_names[i]}.nc')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a439e818-0aa8-4e92-a189-fde70016a911",
+   "metadata": {},
+   "source": [
+    "### Create YAML file"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "e60b3316-e100-4af9-a36d-fad721ef6e02",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create yaml\n",
+    "forcing_yaml = {\n",
+    "    \"start_time\": f\"{periods[0][0]}-01-01T00:00:00Z\",\n",
+    "    \"end_time\": f\"{periods[1][-1]}-12-31T00:00:00Z\",\n",
+    "    \"shape\": str(shape_file),\n",
+    "    \"filenames\": {\n",
+    "        \"pr\": f\"combined_ERA5_{periods[0][0]}_{periods[1][-1]}_pr.nc\",\n",
+    "        \"tas\": f\"combined_ERA5_{periods[0][0]}_{periods[1][-1]}_tas.nc\",\n",
+    "        \"rsds\": f\"combined_ERA5_{periods[0][0]}_{periods[1][-1]}_rsds.nc\",\n",
+    "        \"evspsblpot\": f\"combined_ERA5_{periods[0][0]}_{periods[1][-1]}_evspsblpot.nc\"\n",
+    "    }}\n",
+    "\n",
+    "# Save the YAML file\n",
+    "yaml_file_path = combined_path / \"ewatercycle_forcing.yaml\"\n",
+    "\n",
+    "with open(yaml_file_path, \"w\") as yaml_file:\n",
+    "    yaml.dump(forcing_yaml, yaml_file, default_flow_style=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "id": "10ff50bf-b6e7-4033-9682-3e25d01ecd26",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">LumpedMakkinkForcing</span><span style=\"font-weight: bold\">(</span>\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">start_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'2019-01-01T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">end_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'2024-12-31T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">directory</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/forcings/ERA5-2019-2024'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">shape</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">filenames</span>=<span style=\"font-weight: bold\">{</span>\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'evspsblpot'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_2019_2024_evspsblpot.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'pr'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_2019_2024_pr.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'rsds'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_2019_2024_rsds.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'tas'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_2019_2024_tas.nc'</span>\n",
+       "    <span style=\"font-weight: bold\">}</span>\n",
+       "<span style=\"font-weight: bold\">)</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1;35mLumpedMakkinkForcing\u001b[0m\u001b[1m(\u001b[0m\n",
+       "    \u001b[33mstart_time\u001b[0m=\u001b[32m'2019-01-01T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mend_time\u001b[0m=\u001b[32m'2024-12-31T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mdirectory\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/forcings/ERA5-2019-2024'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mshape\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mfilenames\u001b[0m=\u001b[1m{\u001b[0m\n",
+       "        \u001b[32m'evspsblpot'\u001b[0m: \u001b[32m'combined_ERA5_2019_2024_evspsblpot.nc'\u001b[0m,\n",
+       "        \u001b[32m'pr'\u001b[0m: \u001b[32m'combined_ERA5_2019_2024_pr.nc'\u001b[0m,\n",
+       "        \u001b[32m'rsds'\u001b[0m: \u001b[32m'combined_ERA5_2019_2024_rsds.nc'\u001b[0m,\n",
+       "        \u001b[32m'tas'\u001b[0m: \u001b[32m'combined_ERA5_2019_2024_tas.nc'\u001b[0m\n",
+       "    \u001b[1m}\u001b[0m\n",
+       "\u001b[1m)\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "ERA5_combined_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=combined_path)\n",
+    "print(ERA5_combined_forcing)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/Workyard/HBV_Validation_Ensemble.ipynb b/Workyard/HBV_Validation_Ensemble.ipynb
new file mode 100644
index 00000000..179a0959
--- /dev/null
+++ b/Workyard/HBV_Validation_Ensemble.ipynb
@@ -0,0 +1,1203 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "9ca8fd44-6292-4af4-9100-d3256fccd960",
+   "metadata": {},
+   "source": [
+    "# Ensemble validation\n",
+    "\n",
+    "The 5 parameter sets calculkated in Calibration_HBV.ipynb will be used for a validation period, in which the log NSE will be calculated, a mean will be calculated and total low flow days during the navigation season.\n",
+    "\n",
+    "The structure of this notebook is as follows:\n",
+    "\n",
+    "### 1. Startup\n",
+    "### 2. Model Setup\n",
+    "### 3. Running model\n",
+    "### 4. LNSE calculation\n",
+    "### 5. Display results\n",
+    "### 6. Lowflow calculation"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "bdb4216e-a341-4c2b-a410-35170773a9a7",
+   "metadata": {},
+   "source": [
+    "## 1. Startup"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "id": "d197b8f0-0f85-4a41-b2fb-1b2a8cf3f9f5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General python\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\", category=UserWarning)\n",
+    "\n",
+    "import numpy as np\n",
+    "from pathlib import Path\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import xarray as xr\n",
+    "\n",
+    "# Niceties\n",
+    "from rich import print"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "id": "dd7b7d3f-1489-4723-bb51-f3cffcb7a85c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General eWaterCycle\n",
+    "import ewatercycle\n",
+    "import ewatercycle.models\n",
+    "import ewatercycle.forcing"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "id": "1c8aee93-b2d6-4291-89ae-1d29e69268cd",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Defining things\n",
+    "\n",
+    "basin_size = 132572\n",
+    "q_critical = 500"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "id": "d7dce039-d1f3-44a0-b646-98c32ecffb28",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Choosing time period\n",
+    "\n",
+    "experiment_start_date = \"2019-01-01T00:00:00Z\"\n",
+    "experiment_end_date = \"2024-12-31T00:00:00Z\"\n",
+    "\n",
+    "validation_start = \"2019-01-01T00:00:00Z\"\n",
+    "validation_end = \"2024-12-31T00:00:00Z\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 111,
+   "id": "d330bf37-7419-4287-81af-3d09e4c7a30e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create pathways for ERA 5 forcings\n",
+    "\n",
+    "forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"ERA5-2019-2024\"\n",
+    "\n",
+    "discharge_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
+    "\n",
+    "shape_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "\n",
+    "hbv_config = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"hbv_config\"\n",
+    "hbv_config.mkdir(parents=True, exist_ok=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "id": "46ea8b1e-fb73-49ed-855c-4d95cd932748",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load CSV discharge 07DA001\n",
+    "\n",
+    "q_obs = pd.read_csv(discharge_file, skiprows=1)\n",
+    "q_obs = q_obs[[\"Date\", \"Value\"]].copy()\n",
+    "q_obs[\"Date\"] = pd.to_datetime(q_obs[\"Date\"])\n",
+    "q_obs = q_obs.rename(columns={\"Value\": \"discharge_m3s\"})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 119,
+   "id": "8bb224ad-d23c-475f-b6af-4a6023a17044",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Define time period\n",
+    "validation_start_date = pd.to_datetime(validation_start.replace(\"Z\", \"\"))\n",
+    "validation_end_date = pd.to_datetime(validation_end.replace(\"Z\", \"\"))\n",
+    "\n",
+    "# Skip 1 year for calibration\n",
+    "evaluation_start = pd.to_datetime(f\"{validation_start_date.year + 1}-01-01\")\n",
+    "\n",
+    "# Align q_obs\n",
+    "q_obs = q_obs[(q_obs[\"Date\"] >= validation_start_date) & (q_obs[\"Date\"] <= validation_end_date)]\n",
+    "observed_output = pd.Series(data=q_obs[\"discharge_m3s\"].to_numpy(), name=\"Observed discharge\", index=q_obs[\"Date\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 110,
+   "id": "fc27f6f8-e7ff-4be6-b073-05006d25426a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Date\n",
+       "2019-01-01    213.0\n",
+       "2019-01-02    213.0\n",
+       "2019-01-03    213.0\n",
+       "2019-01-04    214.0\n",
+       "2019-01-05    214.0\n",
+       "Name: Observed discharge, dtype: float64"
+      ]
+     },
+     "execution_count": 110,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "observed_output.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "id": "7f6f57aa-9f39-4524-ba3a-34f55035ebab",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1200x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot q_obs\n",
+    "\n",
+    "plt.figure(figsize=(12, 5))\n",
+    "plt.plot(q_obs[\"Date\"], q_obs[\"discharge_m3s\"])\n",
+    "\n",
+    "plt.xlabel(\"Date\")\n",
+    "plt.ylabel(\"Discharge (m³/s)\")\n",
+    "plt.title(\"Observed daily discharge at 07DA001\")\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a48b5085-6478-4cf2-bd02-75b75f82e90f",
+   "metadata": {},
+   "source": [
+    "### Generate/Load ERA5 data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 112,
+   "id": "77e79b20-3e4d-405a-bd88-16bdc50bdb39",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">LumpedMakkinkForcing</span><span style=\"font-weight: bold\">(</span>\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">start_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'2019-01-01T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">end_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'2024-12-31T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">directory</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/forcings/ERA5-2019-2024'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">shape</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">filenames</span>=<span style=\"font-weight: bold\">{</span>\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'evspsblpot'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_2019_2024_evspsblpot.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'pr'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_2019_2024_pr.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'rsds'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_2019_2024_rsds.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'tas'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_2019_2024_tas.nc'</span>\n",
+       "    <span style=\"font-weight: bold\">}</span>\n",
+       "<span style=\"font-weight: bold\">)</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1;35mLumpedMakkinkForcing\u001b[0m\u001b[1m(\u001b[0m\n",
+       "    \u001b[33mstart_time\u001b[0m=\u001b[32m'2019-01-01T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mend_time\u001b[0m=\u001b[32m'2024-12-31T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mdirectory\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/forcings/ERA5-2019-2024'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mshape\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mfilenames\u001b[0m=\u001b[1m{\u001b[0m\n",
+       "        \u001b[32m'evspsblpot'\u001b[0m: \u001b[32m'combined_ERA5_2019_2024_evspsblpot.nc'\u001b[0m,\n",
+       "        \u001b[32m'pr'\u001b[0m: \u001b[32m'combined_ERA5_2019_2024_pr.nc'\u001b[0m,\n",
+       "        \u001b[32m'rsds'\u001b[0m: \u001b[32m'combined_ERA5_2019_2024_rsds.nc'\u001b[0m,\n",
+       "        \u001b[32m'tas'\u001b[0m: \u001b[32m'combined_ERA5_2019_2024_tas.nc'\u001b[0m\n",
+       "    \u001b[1m}\u001b[0m\n",
+       "\u001b[1m)\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Generate ERA5 data\n",
+    "# ERA5_forcing = ewatercycle.forcing.sources['LumpedMakkinkForcing'].generate(\n",
+    "#     dataset=\"ERA5\",\n",
+    "#     start_time=experiment_start_date,\n",
+    "#     end_time=experiment_end_date,\n",
+    "#     shape=shape_file,\n",
+    "# )\n",
+    "\n",
+    "# Load data\n",
+    "\n",
+    "ERA5_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=forcing_path_ERA5)\n",
+    "\n",
+    "print(ERA5_forcing)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "09f9dfb3-40c9-4689-98b8-fd1ea8fd72d1",
+   "metadata": {},
+   "source": [
+    "### Load parameter sets & initial storages"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 75,
+   "id": "ca2be146-1112-4806-a44f-d57ebd4442c9",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "5"
+      ]
+     },
+     "execution_count": 75,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Load calibration constants\n",
+    "\n",
+    "# par_0 = [4.45787, 0.42307, 201.57602, 2.36497, 0.26755, 8.62964, 0.083568, 0.0037073, 0.29645]\n",
+    "# par_0 = [2.79874, 0.49211, 255.96478, 1.782968, 0.503199, 6.095956, 0.33279, 0.10539, 0.63857]\n",
+    "# par_0 = [6.279135, 0.4808243, 174.127749, 1.9527195, 0.3305087, 6.19919, 0.0768362, 0.004366398, 0.4076606]         # 0.725 val, 0.x cal - Fav run 2\n",
+    "# par_0 = [6.28908, 0.423917, 173.56627, 1.63144, 0.402586, 6.56151, 0.0456809, 0.00313744, 0.516696]                 # 0.702 val, 0.x cal\n",
+    "# par_0 = [6.4919, 0.386877, 221.78625, 1.388269, 0.276453, 4.9870704, 0.04126777, 0.05640195, 1.148877]              # 0.668 val, 0.x cal\n",
+    "# par_0 = [7.502398, 0.38028, 194.1899, 1.680197, 0.47956, 4.8566806, 0.041745354, 0.02833896, 1.051862]              # 0.677 val, 0.x cal\n",
+    "# par_0 = [5.5464, 0.46496, 187.8548, 1.82803, 0.440628, 6.29496, 0.062766, 0.033095, 0.80392]                        # 0.781 val, 0.776 cal\n",
+    "# par_0 = [6.16512, 0.4369419, 151.2515900, 1.727835, 0.3771705, 6.19265974, 0.06959136, 0.001310818, 0.8130732]      # 0.664 val, 0.791 cal\n",
+    "# par_0 = [5.7107, 0.441634, 172.81305, 1.87367, 0.588802, 5.498147, 0.060305, 0.019666, 1.2011814]                    # x val, 0.73 cal         Start of 5+ months exclusion\n",
+    "# par_0 = [7.35776, 0.432509, 192.67085, 1.66088, 0.289296, 5.323766, 0.037268, 0.004399, 1.146504]                    # 0.82 val, 0.818 cal - Fav run 1      \n",
+    "# par_0 = [7.23868, 0.47495, 181.82012, 1.8232, 0.4884032, 5.546412, 0.0449439, 0.00231717, 1.25052]                    #  val,  0.77 cal    \n",
+    "# par_0 = [7.9355, 0.4593, 219.6962, 1.72624, 0.26391, 5.810765, 0.04804, 0.0155065, 0.76857]                           # 0.78 val, 0.71 cal - potential inclusion\n",
+    "\n",
+    "par_ensemble = [\n",
+    "    [6.279135, 0.4808243, 174.127749, 1.9527195, 0.3305087, 6.19919, 0.0768362, 0.004366398, 0.4076606],\n",
+    "    [7.35776, 0.432509, 192.67085, 1.66088, 0.289296, 5.323766, 0.037268, 0.004399, 1.146504],\n",
+    "    [7.9355, 0.4593, 219.6962, 1.72624, 0.26391, 5.810765, 0.04804, 0.0155065, 0.76857],\n",
+    "    [5.5464, 0.46496, 187.8548, 1.82803, 0.440628, 6.29496, 0.062766, 0.033095, 0.80392],\n",
+    "   [7.23868, 0.47495, 181.82012, 1.8232, 0.4884032, 5.546412, 0.0449439, 0.00231717, 1.25052]\n",
+    "]\n",
+    "\n",
+    "\n",
+    "par_names = [\"Imax\",         # Maximum interception storage\n",
+    "               \"Ce\",         # Evaporation correction factor\n",
+    "               \"Sumax\",      # Maximum soil moisture storage\n",
+    "               \"Beta\",       # Soil runoff parameter\n",
+    "               \"Pmax\",       # Maximum percolation rate\n",
+    "               \"Tlag\",       # Time lag\n",
+    "               \"Kf\",         # Fast reservoir recession coefficient\n",
+    "               \"Ks\",         # Slow reservoir recession coefficient\n",
+    "               \"FM\"          # Snowmelt factor\n",
+    "               ]\n",
+    "\n",
+    "# Initial: par_0 = [5.085, 0.55, 100.373, 1.612, 0.545, 3.801, 0.196, 0.00, 0.185]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "id": "d5e5bcb4-bf90-470b-90ed-4a0b9d80c35d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Storages\n",
+    "\n",
+    "#               Si,  Su, Sf, Ss, Sp\n",
+    "s_0 = np.array([0,  100,  0,  5,  0])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "06c977b4-ba9d-4e82-8415-42180eac9f01",
+   "metadata": {},
+   "source": [
+    "## 2. Model setup"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 113,
+   "id": "055bdbc8-af1f-41ac-ad1d-b4da4d6785f6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def run_hbv(parameters, initial_storages, forcing):\n",
+    "\n",
+    "    # Creating model object\n",
+    "    model = ewatercycle.models.HBV(forcing=forcing)\n",
+    "\n",
+    "    # Creating config file\n",
+    "    config_file, _ = model.setup(\n",
+    "        parameters=parameters,\n",
+    "        initial_storages=initial_storages,\n",
+    "        cfg_dir=hbv_config\n",
+    "    )\n",
+    "\n",
+    "    # Initialising model\n",
+    "    model.initialize(config_file)\n",
+    "\n",
+    "    # Define & update outputs\n",
+    "    Q_m = []\n",
+    "    time = []\n",
+    "\n",
+    "    while model.time < model.end_time:\n",
+    "        model.update()\n",
+    "        Q_m.append(model.get_value(\"Q\")[0])\n",
+    "        time.append(pd.Timestamp(model.time_as_datetime))\n",
+    "\n",
+    "    model.finalize()\n",
+    "\n",
+    "    # Convert mm/day to m3/s\n",
+    "    model_output_mmday = pd.Series(\n",
+    "        data=Q_m,\n",
+    "        index=time,\n",
+    "        name=\"Modelled discharge\"\n",
+    "    )\n",
+    "\n",
+    "    model_output_m3s = model_output_mmday * basin_size * 1000 / 86400\n",
+    "\n",
+    "    return model_output_m3s"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "650daf1f-e90f-4b5b-aac5-eca8965de7cf",
+   "metadata": {},
+   "source": [
+    "## 3. Running model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 114,
+   "id": "44092959-524a-4330-a274-77cfad0eacd6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def run_hbv_ensemble(par_ensemble, initial_storages, forcing):\n",
+    "\n",
+    "    # Define amount of parameter sets\n",
+    "    N = len(par_ensemble)\n",
+    "    \n",
+    "    # Create dataframe to append data to & add column for observed data\n",
+    "    ensemble_data = pd.DataFrame()\n",
+    "\n",
+    "    for i in range(N):\n",
+    "\n",
+    "        print(f\"Running parameter set {i+1}/{N}\")\n",
+    "\n",
+    "        # Run HBV model for the parameter sets \n",
+    "        simulated = run_hbv(\n",
+    "            parameters=par_ensemble[i],\n",
+    "            initial_storages=initial_storages,\n",
+    "            forcing=forcing\n",
+    "        )\n",
+    "\n",
+    "        # Filter data by day only, not by day & time to prevent alignment issues\n",
+    "        simulated_daily = simulated\n",
+    "\n",
+    "        simulated_daily.index = pd.to_datetime(simulated_daily.index).tz_localize(None).normalize()\n",
+    "        simulated_daily.name = f\"Set {i+1}\"\n",
+    "         \n",
+    "        # Append new column for every parameter set results\n",
+    "        ensemble_data[f\"Set {i+1}\"] = simulated\n",
+    "\n",
+    "    # Filter observed data by day\n",
+    "    observed_daily = observed_output\n",
+    "    observed_daily.index = pd.to_datetime(observed_daily.index).tz_localize(None).normalize()\n",
+    "\n",
+    "    # Add mean of all sets\n",
+    "    ensemble_data[\"Mean\"] = ensemble_data.mean(axis=1)\n",
+    "    ensemble_data['Observed discharge'] = observed_daily\n",
+    "\n",
+    "    return ensemble_data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 115,
+   "id": "079368de-30cf-491f-8cc9-2021f6a4bfa6",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m1\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m2\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m3\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m4\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m5\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Set 1</th>\n",
+       "      <th>Set 2</th>\n",
+       "      <th>Set 3</th>\n",
+       "      <th>Set 4</th>\n",
+       "      <th>Set 5</th>\n",
+       "      <th>Mean</th>\n",
+       "      <th>Observed discharge</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2019-01-02</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>213.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-03</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>213.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-04</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>214.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-05</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>214.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-06</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>214.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            Set 1  Set 2  Set 3  Set 4  Set 5  Mean  Observed discharge\n",
+       "2019-01-02    0.0    0.0    0.0    0.0    0.0   0.0               213.0\n",
+       "2019-01-03    0.0    0.0    0.0    0.0    0.0   0.0               213.0\n",
+       "2019-01-04    0.0    0.0    0.0    0.0    0.0   0.0               214.0\n",
+       "2019-01-05    0.0    0.0    0.0    0.0    0.0   0.0               214.0\n",
+       "2019-01-06    0.0    0.0    0.0    0.0    0.0   0.0               214.0"
+      ]
+     },
+     "execution_count": 115,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ensemble_data = run_hbv_ensemble(\n",
+    "    par_ensemble=par_ensemble,\n",
+    "    initial_storages=s_0,\n",
+    "    forcing=ERA5_forcing\n",
+    ")\n",
+    "\n",
+    "ensemble_data.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "96d6162f-f432-4dfc-9194-f522a2e6a6da",
+   "metadata": {},
+   "source": [
+    "## 4. LNSE Calculation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 124,
+   "id": "37567a9e-dff3-4c80-84e0-572a6ed72b68",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Calculate log NSE\n",
+    "\n",
+    "def LNSE(sim, obs):\n",
+    "    \n",
+    "    sim = sim.to_numpy()\n",
+    "    obs = obs.to_numpy()\n",
+    "\n",
+    "    # Avoid log(0)\n",
+    "    eps = 0.00000000001\n",
+    "\n",
+    "    log_sim = np.log(sim + eps)\n",
+    "    log_obs = np.log(obs + eps)\n",
+    "\n",
+    "    return 1 - np.sum((log_obs - log_sim) ** 2) / np.sum((log_obs - np.mean(log_obs)) ** 2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 151,
+   "id": "dc7850a4-dc30-4aa7-8719-4f810760c320",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Call log NSE for relevant timeperiod\n",
+    "\n",
+    "def lnse_ensemble(ensemble_data, lnse_start, lnse_end):\n",
+    "\n",
+    "    # Select evaluation period - skip first year for storages to fill\n",
+    "    combined_data = ensemble_data[\n",
+    "        (ensemble_data.index >= lnse_start) &\n",
+    "        (ensemble_data.index <= lnse_end)\n",
+    "    ].dropna()\n",
+    "\n",
+    "    # Exclude winter months\n",
+    "    combined_data = combined_data[\n",
+    "        ~combined_data.index.month.isin([12, 1, 2, 3, 4])\n",
+    "    ]\n",
+    "\n",
+    "    lnse_results = []\n",
+    "\n",
+    "    # Calculate LNSE for all sets\n",
+    "    for i in range(len(par_ensemble)):\n",
+    "        lnse_value = LNSE(\n",
+    "            combined_data[f\"Set {i+1}\"],\n",
+    "            combined_data[\"Observed discharge\"]\n",
+    "        )\n",
+    "\n",
+    "        # Append LNSE\n",
+    "        lnse_results.append({\n",
+    "            \"Set\": f\"Set {i+1}\",\n",
+    "            \"LNSE\": lnse_value\n",
+    "        })\n",
+    "\n",
+    "    # Calculate LNSE of ensemble mean\n",
+    "    mean_lnse = LNSE(\n",
+    "        combined_data[\"Mean\"],\n",
+    "        combined_data[\"Observed discharge\"]\n",
+    "    )\n",
+    "\n",
+    "    # Append LNSE\n",
+    "    lnse_results.append({\n",
+    "        \"Set\": \"Ensemble mean\",\n",
+    "        \"LNSE\": mean_lnse\n",
+    "    })\n",
+    "\n",
+    "    lnse_results = pd.DataFrame(lnse_results)\n",
+    "\n",
+    "    return lnse_results"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 152,
+   "id": "80962ebd-6ad7-48ce-b378-acd68ed03a1e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Set</th>\n",
+       "      <th>LNSE</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Set 1</td>\n",
+       "      <td>0.728192</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Set 2</td>\n",
+       "      <td>0.771258</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Set 3</td>\n",
+       "      <td>0.777863</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Set 4</td>\n",
+       "      <td>0.727285</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Set 5</td>\n",
+       "      <td>0.744617</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>Ensemble mean</td>\n",
+       "      <td>0.812287</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "             Set      LNSE\n",
+       "0          Set 1  0.728192\n",
+       "1          Set 2  0.771258\n",
+       "2          Set 3  0.777863\n",
+       "3          Set 4  0.727285\n",
+       "4          Set 5  0.744617\n",
+       "5  Ensemble mean  0.812287"
+      ]
+     },
+     "execution_count": 152,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "lnse_results = lnse_ensemble(\n",
+    "    ensemble_data=ensemble_data,\n",
+    "    lnse_start=evaluation_start,\n",
+    "    lnse_end=validation_end_date\n",
+    ")\n",
+    "\n",
+    "lnse_results"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d9b6a719-39c6-4872-87ff-cdb65d853e42",
+   "metadata": {},
+   "source": [
+    "## 5. Display results"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 171,
+   "id": "f519854a-a994-44fd-a428-4d0c6daa98e1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def plot_ensemble(ensemble_data, plot_start, plot_end, q_critical):\n",
+    "\n",
+    "    plot_start = pd.to_datetime(plot_start)\n",
+    "    plot_end = pd.to_datetime(plot_end)\n",
+    "\n",
+    "    # Filter data to start & end time\n",
+    "    plot_data = ensemble_data[\n",
+    "        (ensemble_data.index >= plot_start) &\n",
+    "        (ensemble_data.index <= plot_end)\n",
+    "    ].dropna()\n",
+    "\n",
+    "    # Define figure\n",
+    "    plt.figure()\n",
+    "    plt.figure(figsize=(20, 8))\n",
+    "\n",
+    "    # Plot sets, observed data, ensemble mean and axhline, respectively\n",
+    "    for i in range(len(par_ensemble)):\n",
+    "        plt.plot(plot_data.index, plot_data[f\"Set {i+1}\"], color=\"orange\", alpha=0.3, label=\"Parameter sets\" if i == 0 else None)\n",
+    "\n",
+    "    plt.plot(plot_data.index, plot_data[\"Observed discharge\"], label=\"Observed discharge\", linewidth=3)\n",
+    "    plt.plot(plot_data.index, plot_data[\"Mean\"], label=\"Ensemble mean\", linewidth=3)\n",
+    "    plt.axhline(y=q_critical, linestyle=\":\", color=\"black\", label=f\"Critical discharge ({q_critical} m³/s)\")\n",
+    "\n",
+    "    # Extras\n",
+    "    plt.xlabel(\"Date\")\n",
+    "    plt.ylabel(\"Discharge (m³/s)\")\n",
+    "    plt.title(\"Observed vs modelled ensemble discharge at 07DA001\")\n",
+    "    plt.legend()\n",
+    "    plt.grid(True)\n",
+    "\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 172,
+   "id": "f1bb58f8-3dee-43eb-abc8-4af333b5d064",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 640x480 with 0 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 2000x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot for full evaluation period\n",
+    "\n",
+    "plot_ensemble(\n",
+    "    ensemble_data=ensemble_data,\n",
+    "    plot_start=evaluation_start,\n",
+    "    plot_end=validation_end_date,\n",
+    "    q_critical=q_critical\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 177,
+   "id": "b835010a-b272-46b7-9c20-b0db1a99506b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 640x480 with 0 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 2000x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot for selected year\n",
+    "\n",
+    "selected_year = 2024\n",
+    "\n",
+    "plot_ensemble(\n",
+    "    ensemble_data=ensemble_data,\n",
+    "    plot_start=pd.to_datetime(f\"{selected_year}-01-01\"),\n",
+    "    plot_end=pd.to_datetime(f\"{selected_year}-12-31\"),\n",
+    "    q_critical=q_critical\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d017577d-79da-4a97-9522-81f4c307f3aa",
+   "metadata": {},
+   "source": [
+    "## 6. Lowflow calculation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 72,
+   "id": "dcc14e37-5aea-4b00-ae71-32b68ee03d4a",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7460b853-5619-44c9-ac89-3c6fc099bde6",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 69,
+   "id": "02d8a545-838c-4da5-9935-22f34d49f4ee",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def days_counter_ensemble(plot_data, start_date, end_date, q_critical):\n",
+    "\n",
+    "    start_date = pd.to_datetime(start_date).tz_localize(None).normalize()\n",
+    "    end_date = pd.to_datetime(end_date).tz_localize(None).normalize()\n",
+    "\n",
+    "    years = list(range(start_date.year, end_date.year + 1))\n",
+    "\n",
+    "    lowflow_days = []\n",
+    "\n",
+    "    for i in range(len(years)):\n",
+    "\n",
+    "        year = years[i]\n",
+    "\n",
+    "        # Define start and end month-day\n",
+    "        year_start = pd.to_datetime(f\"{year}-05-18\")\n",
+    "        year_end = pd.to_datetime(f\"{year}-10-17\")\n",
+    "\n",
+    "        year_data = plot_data[\n",
+    "            (plot_data.index >= year_start) &\n",
+    "            (plot_data.index <= year_end)\n",
+    "        ]\n",
+    "\n",
+    "        observed_lowflow_days = 0\n",
+    "        modelled_lowflow_days = []\n",
+    "\n",
+    "        # Loop through Run 1 to Run 5\n",
+    "        for k in range(1, len(par_ensemble) + 1):\n",
+    "\n",
+    "            run_lowflow_days = 0\n",
+    "\n",
+    "            for j in range(len(year_data)):\n",
+    "\n",
+    "                modelled_q = year_data.iloc[j][f\"Run {k}\"]\n",
+    "\n",
+    "                if modelled_q < q_critical:\n",
+    "                    run_lowflow_days += 1\n",
+    "\n",
+    "            modelled_lowflow_days.append(run_lowflow_days)\n",
+    "\n",
+    "        # Count observed low-flow days\n",
+    "        for j in range(len(year_data)):\n",
+    "\n",
+    "            observed_q = year_data.iloc[j][\"Observed discharge\"]\n",
+    "\n",
+    "            if observed_q < q_critical:\n",
+    "                observed_lowflow_days += 1\n",
+    "\n",
+    "        average_modelled_lowflow_days = np.mean(modelled_lowflow_days)\n",
+    "\n",
+    "        lowflow_days.append({\n",
+    "            \"year\": year,\n",
+    "            \"observed_lowflow_days\": observed_lowflow_days,\n",
+    "            \"run_1_lowflow_days\": modelled_lowflow_days[0],\n",
+    "            \"run_2_lowflow_days\": modelled_lowflow_days[1],\n",
+    "            \"run_3_lowflow_days\": modelled_lowflow_days[2],\n",
+    "            \"run_4_lowflow_days\": modelled_lowflow_days[3],\n",
+    "            \"run_5_lowflow_days\": modelled_lowflow_days[4],\n",
+    "            \"average_modelled_lowflow_days\": np.round(average_modelled_lowflow_days)\n",
+    "        })\n",
+    "\n",
+    "    lowflow_days = pd.DataFrame(lowflow_days)\n",
+    "\n",
+    "    return lowflow_days"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 70,
+   "id": "4dd215db-3fbe-44fa-9c07-26f13e64d255",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>year</th>\n",
+       "      <th>observed_lowflow_days</th>\n",
+       "      <th>run_1_lowflow_days</th>\n",
+       "      <th>run_2_lowflow_days</th>\n",
+       "      <th>run_3_lowflow_days</th>\n",
+       "      <th>run_4_lowflow_days</th>\n",
+       "      <th>run_5_lowflow_days</th>\n",
+       "      <th>average_modelled_lowflow_days</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2020</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2021</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2022</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2023</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2024</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   year  observed_lowflow_days  run_1_lowflow_days  run_2_lowflow_days  \\\n",
+       "0  2020                      0                   0                   0   \n",
+       "1  2021                      0                   0                   0   \n",
+       "2  2022                      0                   0                   0   \n",
+       "3  2023                      0                   0                   0   \n",
+       "4  2024                      0                   0                   0   \n",
+       "\n",
+       "   run_3_lowflow_days  run_4_lowflow_days  run_5_lowflow_days  \\\n",
+       "0                   0                   0                   0   \n",
+       "1                   0                   0                   0   \n",
+       "2                   0                   0                   0   \n",
+       "3                   0                   0                   0   \n",
+       "4                   0                   0                   0   \n",
+       "\n",
+       "   average_modelled_lowflow_days  \n",
+       "0                            0.0  \n",
+       "1                            0.0  \n",
+       "2                            0.0  \n",
+       "3                            0.0  \n",
+       "4                            0.0  "
+      ]
+     },
+     "execution_count": 70,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "lowflow_days = days_counter_ensemble(\n",
+    "    plot_data=plot_data,\n",
+    "    start_date=evaluation_start,\n",
+    "    end_date=validation_end_date,\n",
+    "    q_critical=q_critical\n",
+    ")\n",
+    "\n",
+    "lowflow_days"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7a08ca3c-9f66-4797-b4eb-7943785f512d",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "efc2756c-f047-4ae1-a491-583e46612a75",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/Workyard/Trial model LAR.ipynb b/Workyard/Trial model LAR.ipynb
new file mode 100644
index 00000000..5adbaf59
--- /dev/null
+++ b/Workyard/Trial model LAR.ipynb	
@@ -0,0 +1,844 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "bdb4216e-a341-4c2b-a410-35170773a9a7",
+   "metadata": {},
+   "source": [
+    "## Startup"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "d197b8f0-0f85-4a41-b2fb-1b2a8cf3f9f5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General python\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\", category=UserWarning)\n",
+    "\n",
+    "import numpy as np\n",
+    "from pathlib import Path\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import xarray as xr\n",
+    "\n",
+    "# Niceties\n",
+    "from rich import print"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "dd7b7d3f-1489-4723-bb51-f3cffcb7a85c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General eWaterCycle\n",
+    "import ewatercycle\n",
+    "import ewatercycle.models\n",
+    "import ewatercycle.forcing"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "1c8aee93-b2d6-4291-89ae-1d29e69268cd",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Defining basin size\n",
+    "\n",
+    "basin_size = 132572"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "id": "d7dce039-d1f3-44a0-b646-98c32ecffb28",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Choosing time period\n",
+    "\n",
+    "experiment_start_date = \"2019-01-01T00:00:00Z\"\n",
+    "experiment_end_date = \"2024-12-31T00:00:00Z\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "d330bf37-7419-4287-81af-3d09e4c7a30e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create pathways for ERA 5 forcings\n",
+    "\n",
+    "forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"ERA5-2019-2024\"\n",
+    "\n",
+    "discharge_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
+    "\n",
+    "shape_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "\n",
+    "hbv_config = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"hbv_config\"\n",
+    "hbv_config.mkdir(parents=True, exist_ok=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "id": "46ea8b1e-fb73-49ed-855c-4d95cd932748",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load CSV discharge 07DA001\n",
+    "\n",
+    "q_obs = pd.read_csv(discharge_file, skiprows=1)\n",
+    "q_obs = q_obs[[\"Date\", \"Value\"]].copy()\n",
+    "q_obs[\"Date\"] = pd.to_datetime(q_obs[\"Date\"])\n",
+    "q_obs = q_obs.rename(columns={\"Value\": \"discharge_m3s\"})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "id": "8bb224ad-d23c-475f-b6af-4a6023a17044",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Date</th>\n",
+       "      <th>discharge_m3s</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>22193</th>\n",
+       "      <td>2019-01-01</td>\n",
+       "      <td>213.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22194</th>\n",
+       "      <td>2019-01-02</td>\n",
+       "      <td>213.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22195</th>\n",
+       "      <td>2019-01-03</td>\n",
+       "      <td>213.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22196</th>\n",
+       "      <td>2019-01-04</td>\n",
+       "      <td>214.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22197</th>\n",
+       "      <td>2019-01-05</td>\n",
+       "      <td>214.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            Date  discharge_m3s\n",
+       "22193 2019-01-01          213.0\n",
+       "22194 2019-01-02          213.0\n",
+       "22195 2019-01-03          213.0\n",
+       "22196 2019-01-04          214.0\n",
+       "22197 2019-01-05          214.0"
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Filter q_obs to start & end date\n",
+    "\n",
+    "start_date = pd.to_datetime(experiment_start_date.replace(\"Z\", \"\"))\n",
+    "end_date = pd.to_datetime(experiment_end_date.replace(\"Z\", \"\"))\n",
+    "\n",
+    "q_obs = q_obs[\n",
+    "    (q_obs[\"Date\"] >= start_date) &\n",
+    "    (q_obs[\"Date\"] <= end_date)\n",
+    "].copy()\n",
+    "\n",
+    "q_obs.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "id": "7f6f57aa-9f39-4524-ba3a-34f55035ebab",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1200x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot q_obs\n",
+    "\n",
+    "plt.figure(figsize=(12, 5))\n",
+    "plt.plot(q_obs[\"Date\"], q_obs[\"discharge_m3s\"])\n",
+    "\n",
+    "plt.xlabel(\"Date\")\n",
+    "plt.ylabel(\"Discharge (m³/s)\")\n",
+    "plt.title(\"Observed daily discharge at 07DA001\")\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "id": "77e79b20-3e4d-405a-bd88-16bdc50bdb39",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">LumpedMakkinkForcing</span><span style=\"font-weight: bold\">(</span>\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">start_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'2019-01-01T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">end_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'2024-12-31T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">directory</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/forcings/ERA5-2019-2024'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">shape</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">filenames</span>=<span style=\"font-weight: bold\">{</span>\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'evspsblpot'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_2019_2024_evspsblpot.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'pr'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_2019_2024_pr.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'rsds'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_2019_2024_rsds.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'tas'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_2019_2024_tas.nc'</span>\n",
+       "    <span style=\"font-weight: bold\">}</span>\n",
+       "<span style=\"font-weight: bold\">)</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1;35mLumpedMakkinkForcing\u001b[0m\u001b[1m(\u001b[0m\n",
+       "    \u001b[33mstart_time\u001b[0m=\u001b[32m'2019-01-01T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mend_time\u001b[0m=\u001b[32m'2024-12-31T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mdirectory\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/forcings/ERA5-2019-2024'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mshape\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mfilenames\u001b[0m=\u001b[1m{\u001b[0m\n",
+       "        \u001b[32m'evspsblpot'\u001b[0m: \u001b[32m'combined_ERA5_2019_2024_evspsblpot.nc'\u001b[0m,\n",
+       "        \u001b[32m'pr'\u001b[0m: \u001b[32m'combined_ERA5_2019_2024_pr.nc'\u001b[0m,\n",
+       "        \u001b[32m'rsds'\u001b[0m: \u001b[32m'combined_ERA5_2019_2024_rsds.nc'\u001b[0m,\n",
+       "        \u001b[32m'tas'\u001b[0m: \u001b[32m'combined_ERA5_2019_2024_tas.nc'\u001b[0m\n",
+       "    \u001b[1m}\u001b[0m\n",
+       "\u001b[1m)\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Generate ERA5 data\n",
+    "# ERA5_forcing = ewatercycle.forcing.sources['LumpedMakkinkForcing'].generate(\n",
+    "#     dataset=\"ERA5\",\n",
+    "#     start_time=experiment_start_date,\n",
+    "#     end_time=experiment_end_date,\n",
+    "#     shape=shape_file,\n",
+    "# )\n",
+    "\n",
+    "# Load data\n",
+    "\n",
+    "ERA5_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=forcing_path_ERA5)\n",
+    "\n",
+    "print(ERA5_forcing)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "id": "ca2be146-1112-4806-a44f-d57ebd4442c9",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">[</span>\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Imax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7.35776</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ce'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.432509</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Sumax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">192.67085</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Beta'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.66088</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Pmax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.289296</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Tlag'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5.323766</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Kf'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.037268</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ks'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.004399</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'FM'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.146504</span><span style=\"font-weight: bold\">)</span>\n",
+       "<span style=\"font-weight: bold\">]</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1m[\u001b[0m\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Imax'\u001b[0m, \u001b[1;36m7.35776\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ce'\u001b[0m, \u001b[1;36m0.432509\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Sumax'\u001b[0m, \u001b[1;36m192.67085\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Beta'\u001b[0m, \u001b[1;36m1.66088\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Pmax'\u001b[0m, \u001b[1;36m0.289296\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Tlag'\u001b[0m, \u001b[1;36m5.323766\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Kf'\u001b[0m, \u001b[1;36m0.037268\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ks'\u001b[0m, \u001b[1;36m0.004399\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'FM'\u001b[0m, \u001b[1;36m1.146504\u001b[0m\u001b[1m)\u001b[0m\n",
+       "\u001b[1m]\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Load calibration constants\n",
+    "\n",
+    "# par_0 = [4.45787, 0.42307, 201.57602, 2.36497, 0.26755, 8.62964, 0.083568, 0.0037073, 0.29645]\n",
+    "# par_0 = [2.79874, 0.49211, 255.96478, 1.782968, 0.503199, 6.095956, 0.33279, 0.10539, 0.63857]\n",
+    "# par_0 = [6.279135, 0.4808243, 174.127749, 1.9527195, 0.3305087, 6.19919, 0.0768362, 0.004366398, 0.4076606]         # 0.725 val, 0.x cal - Fav run 2\n",
+    "# par_0 = [6.28908, 0.423917, 173.56627, 1.63144, 0.402586, 6.56151, 0.0456809, 0.00313744, 0.516696]                 # 0.702 val, 0.x cal\n",
+    "# par_0 = [6.4919, 0.386877, 221.78625, 1.388269, 0.276453, 4.9870704, 0.04126777, 0.05640195, 1.148877]              # 0.668 val, 0.x cal\n",
+    "# par_0 = [7.502398, 0.38028, 194.1899, 1.680197, 0.47956, 4.8566806, 0.041745354, 0.02833896, 1.051862]              # 0.677 val, 0.x cal\n",
+    "# par_0 = [5.5464, 0.46496, 187.8548, 1.82803, 0.440628, 6.29496, 0.062766, 0.033095, 0.80392]                        # 0.781 val, 0.776 cal\n",
+    "# par_0 = [6.16512, 0.4369419, 151.2515900, 1.727835, 0.3771705, 6.19265974, 0.06959136, 0.001310818, 0.8130732]      # 0.664 val, 0.791 cal\n",
+    "# par_0 = [5.7107, 0.441634, 172.81305, 1.87367, 0.588802, 5.498147, 0.060305, 0.019666, 1.2011814]                    # x val, 0.73 cal         Start of 5+ months exclusion\n",
+    "par_0 = [7.35776, 0.432509, 192.67085, 1.66088, 0.289296, 5.323766, 0.037268, 0.004399, 1.146504]                    # 0.82 val, 0.818 cal - Fav run 1      \n",
+    "# par_0 = [7.23868, 0.47495, 181.82012, 1.8232, 0.4884032, 5.546412, 0.0449439, 0.00231717, 1.25052]                    #  val,  0.77 cal    \n",
+    "# par_0 = [7.9355, 0.4593, 219.6962, 1.72624, 0.26391, 5.810765, 0.04804, 0.0155065, 0.76857]                           # 0.78 val, 0.71 cal - potential inclusion\n",
+    "\n",
+    "par_names = [\"Imax\",         # Maximum interception storage\n",
+    "               \"Ce\",         # Evaporation correction factor\n",
+    "               \"Sumax\",      # Maximum soil moisture storage\n",
+    "               \"Beta\",       # Soil runoff parameter\n",
+    "               \"Pmax\",       # Maximum percolation rate\n",
+    "               \"Tlag\",       # Time lag\n",
+    "               \"Kf\",         # Fast reservoir recession coefficient\n",
+    "               \"Ks\",         # Slow reservoir recession coefficient\n",
+    "               \"FM\"          # Snowmelt factor\n",
+    "               ]\n",
+    "\n",
+    "# Initial: par_0 = [5.085, 0.55, 100.373, 1.612, 0.545, 3.801, 0.196, 0.00, 0.185]\n",
+    "\n",
+    "print(list(zip(par_names, par_0)))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "id": "d5e5bcb4-bf90-470b-90ed-4a0b9d80c35d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Storages\n",
+    "\n",
+    "#               Si,  Su, Sf, Ss, Sp\n",
+    "s_0 = np.array([0,  100,  0,  5,  0])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5bbaae8e-18fa-4383-9973-5a2560840699",
+   "metadata": {},
+   "source": [
+    "## Setup model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "id": "055bdbc8-af1f-41ac-ad1d-b4da4d6785f6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create model object\n",
+    "\n",
+    "model = ewatercycle.models.HBV(forcing=ERA5_forcing)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "id": "44092959-524a-4330-a274-77cfad0eacd6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create config file\n",
+    "\n",
+    "config_file, _ = model.setup(parameters=par_0, initial_storages=s_0, cfg_dir=hbv_config)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "id": "079368de-30cf-491f-8cc9-2021f6a4bfa6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Initialising model\n",
+    "\n",
+    "model.initialize(config_file)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "327222c7-bd08-4992-826e-07f40f61b783",
+   "metadata": {},
+   "source": [
+    "## Running the model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "id": "93b4084b-21e5-4009-9fc7-122b7b739a86",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Define outputs\n",
+    "\n",
+    "Q_m = []\n",
+    "time = []\n",
+    "\n",
+    "while model.time < model.end_time:\n",
+    "    model.update()\n",
+    "    Q_m.append(model.get_value(\"Q\")[0])\n",
+    "    time.append(pd.Timestamp(model.time_as_datetime))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "id": "f1bb58f8-3dee-43eb-abc8-4af333b5d064",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "model.finalize()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "39872047-cba7-47c4-b2f8-6ed47c56fdc6",
+   "metadata": {},
+   "source": [
+    "## Process results "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "id": "715c5274-8ab4-45d0-b154-bb0cf30b52bd",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Make Series for model output and q_obs\n",
+    "model_output_mmday = pd.Series(data=Q_m, name=\"Modelled discharge\", index=time)\n",
+    "model_output_m3s = model_output_mmday * basin_size * 1000 / 86400\n",
+    "\n",
+    "# Date_obs = q_obs[\"Date\"]\n",
+    "# discharge_m3s_obs = q_obs[\"discharge_m3s\"]\n",
+    "\n",
+    "observed_output = pd.Series(data=q_obs[\"discharge_m3s\"].to_numpy(), name=\"Observed discharge\", index=q_obs[\"Date\"])\n",
+    "\n",
+    "# q_obs.set_index(\"Date\")[\"discharge_m3s\"]\n",
+    "# observed_output.name = \"Observed discharge\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "id": "9ee05f10-c416-4238-be5f-0dd3901ba3ec",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1200x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot for year range\n",
+    "\n",
+    "plt.figure(figsize=(12, 5))\n",
+    "\n",
+    "q_critical = 500\n",
+    "\n",
+    "observed_output.plot(label=\"Observed discharge\")\n",
+    "model_output_m3s.plot(label=\"Modelled discharge\")\n",
+    "plt.axhline(y=q_critical, linestyle=\":\", label=f'Critical discharge ({q_critical} m³/s)', color='black')\n",
+    "\n",
+    "plt.xlabel(\"Date\")\n",
+    "plt.ylabel(\"Discharge (m³/s)\")\n",
+    "plt.title(\"Modelled vs observed discharge at 07DA001\")\n",
+    "plt.legend()\n",
+    "plt.grid(True)\n",
+    "plt.xlim(\"2020-01-01\", \"2024-12-31\")\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "id": "494883ac-e9f0-4806-93d9-bb6a52372309",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1400x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot for 1 year\n",
+    "\n",
+    "selected_year = 2024\n",
+    "\n",
+    "observed_plot = observed_output\n",
+    "modelled_plot = model_output_m3s\n",
+    "\n",
+    "observed_plot.index = pd.to_datetime(observed_plot.index).tz_localize(None).normalize()\n",
+    "modelled_plot.index = pd.to_datetime(modelled_plot.index).tz_localize(None).normalize()\n",
+    "\n",
+    "plot_data = pd.DataFrame({\n",
+    "    \"Modelled discharge\": modelled_plot,\n",
+    "    \"Observed discharge\": observed_plot\n",
+    "}).dropna()\n",
+    "\n",
+    "plot_data_year = plot_data[plot_data.index.year == selected_year]\n",
+    "\n",
+    "plt.figure(figsize=(14, 6))\n",
+    "\n",
+    "plt.plot(plot_data_year.index,plot_data_year[\"Observed discharge\"],label=\"Observed discharge\")\n",
+    "plt.plot(plot_data_year.index,plot_data_year[\"Modelled discharge\"],label=\"Modelled discharge\")\n",
+    "\n",
+    "plt.axhline(y=q_critical,linestyle=\":\",color=\"black\",label=f\"Critical discharge ({q_critical} m³/s)\")\n",
+    "\n",
+    "plt.xlabel(\"Date\")\n",
+    "plt.ylabel(\"Discharge (m³/s)\")\n",
+    "plt.title(f\"Observed vs modelled discharge at 07DA001 in {selected_year}\")\n",
+    "plt.legend()\n",
+    "plt.grid(True)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1e2e1edf-f9a2-4d42-8de0-13e5dfc29fd5",
+   "metadata": {},
+   "source": [
+    "### "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b4a1bc95-7122-4372-8b79-991d1344452c",
+   "metadata": {},
+   "source": [
+    "### Log NSE"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "id": "0c3e7e10-16ba-46cf-96a6-9bb2d01f8287",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Calculate log NSE\n",
+    "\n",
+    "def log_NSE(sim, obs):\n",
+    "    \n",
+    "    sim = sim.to_numpy()\n",
+    "    obs = obs.to_numpy()\n",
+    "\n",
+    "    # Avoid log(0)\n",
+    "    eps = 0.00000000001\n",
+    "\n",
+    "    log_sim = np.log(sim + eps)\n",
+    "    log_obs = np.log(obs + eps)\n",
+    "\n",
+    "    return 1 - np.sum((log_obs - log_sim) ** 2) / np.sum((log_obs - np.mean(log_obs)) ** 2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 67,
+   "id": "6bcc0656-5f3a-450a-b758-e4c93e9feb07",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Call log NSE for relevant timeperiod\n",
+    "\n",
+    "def lognse_for_period(sim, obs, lognse_start, lognse_end):\n",
+    "\n",
+    "    simulated_daily = sim\n",
+    "    observed_daily = obs\n",
+    "\n",
+    "    simulated_daily.index = pd.to_datetime(simulated_daily.index).tz_localize(None).normalize()\n",
+    "    observed_daily.index = pd.to_datetime(observed_daily.index).tz_localize(None).normalize()\n",
+    "\n",
+    "    combined_data = pd.DataFrame({\n",
+    "        \"Modelled discharge\": simulated_daily,\n",
+    "        \"Observed discharge\": observed_daily\n",
+    "    }).dropna()\n",
+    "\n",
+    "    lognse_start = pd.to_datetime(lognse_start).tz_localize(None).normalize()\n",
+    "    lognse_end = pd.to_datetime(lognse_end).tz_localize(None).normalize()\n",
+    "\n",
+    "    # Set time period - Skip 1st year\n",
+    "    combined_data = combined_data[\n",
+    "        (combined_data.index >= lognse_start) &\n",
+    "        (combined_data.index <= lognse_end)\n",
+    "    ]\n",
+    "\n",
+    "    # Exclude winter months\n",
+    "    combined_data = combined_data[\n",
+    "        ~combined_data.index.month.isin([12, 1, 2, 3, 4])\n",
+    "    ]\n",
+    "\n",
+    "    if combined_data.empty:\n",
+    "        print(\"No data left after filtering.\")\n",
+    "        return np.nan\n",
+    "\n",
+    "    log_nse = log_NSE(\n",
+    "        combined_data[\"Modelled discharge\"],\n",
+    "        combined_data[\"Observed discharge\"]\n",
+    "    )\n",
+    "\n",
+    "    return log_nse"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 68,
+   "id": "aa07b0d5-9144-48bf-9ca6-a43812e30020",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">log NSE: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.7712583391721999</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "log NSE: \u001b[1;36m0.7712583391721999\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Return log NSE\n",
+    "evaluation_start = pd.to_datetime(f\"{start_date.year + 1}-01-01\")\n",
+    "\n",
+    "lognse_value = lognse_for_period(\n",
+    "    model_output_m3s,\n",
+    "    observed_output,\n",
+    "    evaluation_start,\n",
+    "    end_date\n",
+    ")\n",
+    "\n",
+    "print(\"log NSE:\", lognse_value)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "56592f44-6174-48c3-a724-2ed1036228ff",
+   "metadata": {},
+   "source": [
+    "### Days calc"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "id": "2d2cda32-61ff-4710-998b-4c4a5205cefc",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def days_counter(sim, obs, start_date, end_date):\n",
+    "\n",
+    "    # Combine dataset in Dataframe\n",
+    "    combined_data = pd.DataFrame({\n",
+    "        \"Modelled discharge\": sim,\n",
+    "        \"Observed discharge\": obs\n",
+    "    }).dropna()\n",
+    "\n",
+    "    # Make list of years\n",
+    "    years = list(range(start_date.year, end_date.year + 1))\n",
+    "\n",
+    "    lowflow_days = []\n",
+    "\n",
+    "    # Loop through each year\n",
+    "    for i in range(len(years)):\n",
+    "\n",
+    "        year = years[i]\n",
+    "\n",
+    "        # Define start month-day\n",
+    "        year_start = pd.to_datetime(f\"{year}-05-18\")\n",
+    "        year_end = pd.to_datetime(f\"{year}-10-17\")\n",
+    "\n",
+    "        year_data = combined_data[\n",
+    "            (combined_data.index >= year_start) &\n",
+    "            (combined_data.index <= year_end)\n",
+    "        ]\n",
+    "\n",
+    "        observed_lowflow_days = 0\n",
+    "        modelled_lowflow_days = 0\n",
+    "\n",
+    "        # Loop through each  year to identify lowflow days\n",
+    "        for j in range(len(year_data)):\n",
+    "\n",
+    "            observed_q = year_data.iloc[j][\"Observed discharge\"]\n",
+    "            modelled_q = year_data.iloc[j][\"Modelled discharge\"]\n",
+    "\n",
+    "            # Check if that day is low flow and accumulate\n",
+    "            if observed_q < q_critical:\n",
+    "                observed_lowflow_days += 1\n",
+    "\n",
+    "            if modelled_q < q_critical:\n",
+    "                modelled_lowflow_days += 1\n",
+    "\n",
+    "    lowflow_days = pd.DataFrame(lowflow_days)\n",
+    "\n",
+    "    # average_error = round(lowflow_days[\"%error\"].abs().mean(), 1)\n",
+    "\n",
+    "    return lowflow_days\n",
+    "    \n",
+    "    # , print(f\"average error = {average_error}%\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "id": "c04c46cc-b80a-40ec-b741-e78fa5168dcd",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "Empty DataFrame\n",
+       "Columns: []\n",
+       "Index: []"
+      ]
+     },
+     "execution_count": 59,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Define period (based on algorithm date > q_critical & freeze-up date output) & prepare\n",
+    "day_calc_start = pd.to_datetime(f\"{start_date.year + 1}-01-01\")\n",
+    "q_critical = 500\n",
+    "\n",
+    "lowflow_days = days_counter(\n",
+    "    sim=model_output_m3s,\n",
+    "    obs=observed_output,\n",
+    "    start_date=day_calc_start,\n",
+    "    end_date=end_date\n",
+    ")\n",
+    "\n",
+    "lowflow_days\n",
+    "\n",
+    "# NOTE TO CHANGE TIME RANGE -> EDIT DEF days_counter FUNCTION UNDER # Define start month day"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3d9701be-4df6-41b8-904e-cb4cda096e80",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

From 70246575565f73d8e03b8bab9eeb70b5df249113 Mon Sep 17 00:00:00 2001
From: Maxime <mxdebekker@gmail.com>
Date: Wed, 27 May 2026 17:49:58 +0200
Subject: [PATCH 04/24] HBV Ensemble Validation

Model ran for an ensemble of parameter sets, plotted and days of low flow calculated and displayed.
---
 Workyard/HBV_Validation_Ensemble.ipynb | 573 ++++++++++++++++---------
 1 file changed, 376 insertions(+), 197 deletions(-)

diff --git a/Workyard/HBV_Validation_Ensemble.ipynb b/Workyard/HBV_Validation_Ensemble.ipynb
index 179a0959..c44a885a 100644
--- a/Workyard/HBV_Validation_Ensemble.ipynb
+++ b/Workyard/HBV_Validation_Ensemble.ipynb
@@ -29,7 +29,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": 191,
    "id": "d197b8f0-0f85-4a41-b2fb-1b2a8cf3f9f5",
    "metadata": {},
    "outputs": [],
@@ -50,7 +50,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 50,
+   "execution_count": 192,
    "id": "dd7b7d3f-1489-4723-bb51-f3cffcb7a85c",
    "metadata": {},
    "outputs": [],
@@ -63,7 +63,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": 193,
    "id": "1c8aee93-b2d6-4291-89ae-1d29e69268cd",
    "metadata": {},
    "outputs": [],
@@ -76,7 +76,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": 194,
    "id": "d7dce039-d1f3-44a0-b646-98c32ecffb28",
    "metadata": {},
    "outputs": [],
@@ -86,20 +86,20 @@
     "experiment_start_date = \"2019-01-01T00:00:00Z\"\n",
     "experiment_end_date = \"2024-12-31T00:00:00Z\"\n",
     "\n",
-    "validation_start = \"2019-01-01T00:00:00Z\"\n",
-    "validation_end = \"2024-12-31T00:00:00Z\""
+    "validation_start = \"1999-01-01T00:00:00Z\"\n",
+    "validation_end = \"2019-12-31T00:00:00Z\""
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 111,
+   "execution_count": 195,
    "id": "d330bf37-7419-4287-81af-3d09e4c7a30e",
    "metadata": {},
    "outputs": [],
    "source": [
     "# Create pathways for ERA 5 forcings\n",
     "\n",
-    "forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"ERA5-2019-2024\"\n",
+    "forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"ERA5-1999-2019\"\n",
     "\n",
     "discharge_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
     "\n",
@@ -111,7 +111,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 54,
+   "execution_count": 196,
    "id": "46ea8b1e-fb73-49ed-855c-4d95cd932748",
    "metadata": {},
    "outputs": [],
@@ -126,7 +126,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 119,
+   "execution_count": 197,
    "id": "8bb224ad-d23c-475f-b6af-4a6023a17044",
    "metadata": {},
    "outputs": [],
@@ -145,7 +145,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 110,
+   "execution_count": 198,
    "id": "fc27f6f8-e7ff-4be6-b073-05006d25426a",
    "metadata": {},
    "outputs": [
@@ -153,15 +153,15 @@
      "data": {
       "text/plain": [
        "Date\n",
-       "2019-01-01    213.0\n",
-       "2019-01-02    213.0\n",
-       "2019-01-03    213.0\n",
-       "2019-01-04    214.0\n",
-       "2019-01-05    214.0\n",
+       "1999-01-01    104.0\n",
+       "1999-01-02    103.0\n",
+       "1999-01-03    101.0\n",
+       "1999-01-04    103.0\n",
+       "1999-01-05    105.0\n",
        "Name: Observed discharge, dtype: float64"
       ]
      },
-     "execution_count": 110,
+     "execution_count": 198,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -172,13 +172,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 56,
+   "execution_count": 199,
    "id": "7f6f57aa-9f39-4524-ba3a-34f55035ebab",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 1200x500 with 1 Axes>"
       ]
@@ -210,7 +210,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 112,
+   "execution_count": 200,
    "id": "77e79b20-3e4d-405a-bd88-16bdc50bdb39",
    "metadata": {},
    "outputs": [
@@ -218,30 +218,30 @@
      "data": {
       "text/html": [
        "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">LumpedMakkinkForcing</span><span style=\"font-weight: bold\">(</span>\n",
-       "    <span style=\"color: #808000; text-decoration-color: #808000\">start_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'2019-01-01T00:00:00Z'</span>,\n",
-       "    <span style=\"color: #808000; text-decoration-color: #808000\">end_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'2024-12-31T00:00:00Z'</span>,\n",
-       "    <span style=\"color: #808000; text-decoration-color: #808000\">directory</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/forcings/ERA5-2019-2024'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">start_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'1999-01-01T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">end_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'2019-12-31T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">directory</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1999-2019'</span><span style=\"font-weight: bold\">)</span>,\n",
        "    <span style=\"color: #808000; text-decoration-color: #808000\">shape</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'</span><span style=\"font-weight: bold\">)</span>,\n",
        "    <span style=\"color: #808000; text-decoration-color: #808000\">filenames</span>=<span style=\"font-weight: bold\">{</span>\n",
-       "        <span style=\"color: #008000; text-decoration-color: #008000\">'evspsblpot'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_2019_2024_evspsblpot.nc'</span>,\n",
-       "        <span style=\"color: #008000; text-decoration-color: #008000\">'pr'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_2019_2024_pr.nc'</span>,\n",
-       "        <span style=\"color: #008000; text-decoration-color: #008000\">'rsds'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_2019_2024_rsds.nc'</span>,\n",
-       "        <span style=\"color: #008000; text-decoration-color: #008000\">'tas'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_2019_2024_tas.nc'</span>\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'evspsblpot'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1999_2019_evspsblpot.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'pr'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1999_2019_pr.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'rsds'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1999_2019_rsds.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'tas'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1999_2019_tas.nc'</span>\n",
        "    <span style=\"font-weight: bold\">}</span>\n",
        "<span style=\"font-weight: bold\">)</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
        "\u001b[1;35mLumpedMakkinkForcing\u001b[0m\u001b[1m(\u001b[0m\n",
-       "    \u001b[33mstart_time\u001b[0m=\u001b[32m'2019-01-01T00:00:00Z'\u001b[0m,\n",
-       "    \u001b[33mend_time\u001b[0m=\u001b[32m'2024-12-31T00:00:00Z'\u001b[0m,\n",
-       "    \u001b[33mdirectory\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/forcings/ERA5-2019-2024'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mstart_time\u001b[0m=\u001b[32m'1999-01-01T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mend_time\u001b[0m=\u001b[32m'2019-12-31T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mdirectory\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1999-2019'\u001b[0m\u001b[1m)\u001b[0m,\n",
        "    \u001b[33mshape\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'\u001b[0m\u001b[1m)\u001b[0m,\n",
        "    \u001b[33mfilenames\u001b[0m=\u001b[1m{\u001b[0m\n",
-       "        \u001b[32m'evspsblpot'\u001b[0m: \u001b[32m'combined_ERA5_2019_2024_evspsblpot.nc'\u001b[0m,\n",
-       "        \u001b[32m'pr'\u001b[0m: \u001b[32m'combined_ERA5_2019_2024_pr.nc'\u001b[0m,\n",
-       "        \u001b[32m'rsds'\u001b[0m: \u001b[32m'combined_ERA5_2019_2024_rsds.nc'\u001b[0m,\n",
-       "        \u001b[32m'tas'\u001b[0m: \u001b[32m'combined_ERA5_2019_2024_tas.nc'\u001b[0m\n",
+       "        \u001b[32m'evspsblpot'\u001b[0m: \u001b[32m'combined_ERA5_1999_2019_evspsblpot.nc'\u001b[0m,\n",
+       "        \u001b[32m'pr'\u001b[0m: \u001b[32m'combined_ERA5_1999_2019_pr.nc'\u001b[0m,\n",
+       "        \u001b[32m'rsds'\u001b[0m: \u001b[32m'combined_ERA5_1999_2019_rsds.nc'\u001b[0m,\n",
+       "        \u001b[32m'tas'\u001b[0m: \u001b[32m'combined_ERA5_1999_2019_tas.nc'\u001b[0m\n",
        "    \u001b[1m}\u001b[0m\n",
        "\u001b[1m)\u001b[0m\n"
       ]
@@ -276,21 +276,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 75,
+   "execution_count": 201,
    "id": "ca2be146-1112-4806-a44f-d57ebd4442c9",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "5"
-      ]
-     },
-     "execution_count": 75,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Load calibration constants\n",
     "\n",
@@ -332,7 +321,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 59,
+   "execution_count": 202,
    "id": "d5e5bcb4-bf90-470b-90ed-4a0b9d80c35d",
    "metadata": {},
    "outputs": [],
@@ -353,7 +342,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 113,
+   "execution_count": 203,
    "id": "055bdbc8-af1f-41ac-ad1d-b4da4d6785f6",
    "metadata": {},
    "outputs": [],
@@ -406,7 +395,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 114,
+   "execution_count": 204,
    "id": "44092959-524a-4330-a274-77cfad0eacd6",
    "metadata": {},
    "outputs": [],
@@ -452,7 +441,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 115,
+   "execution_count": 205,
    "id": "079368de-30cf-491f-8cc9-2021f6a4bfa6",
    "metadata": {},
    "outputs": [
@@ -553,54 +542,54 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>2019-01-02</th>\n",
+       "      <th>1999-01-02</th>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>213.0</td>\n",
+       "      <td>103.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2019-01-03</th>\n",
+       "      <th>1999-01-03</th>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>213.0</td>\n",
+       "      <td>101.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2019-01-04</th>\n",
+       "      <th>1999-01-04</th>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>214.0</td>\n",
+       "      <td>103.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2019-01-05</th>\n",
+       "      <th>1999-01-05</th>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>214.0</td>\n",
+       "      <td>105.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2019-01-06</th>\n",
+       "      <th>1999-01-06</th>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>214.0</td>\n",
+       "      <td>108.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -608,14 +597,14 @@
       ],
       "text/plain": [
        "            Set 1  Set 2  Set 3  Set 4  Set 5  Mean  Observed discharge\n",
-       "2019-01-02    0.0    0.0    0.0    0.0    0.0   0.0               213.0\n",
-       "2019-01-03    0.0    0.0    0.0    0.0    0.0   0.0               213.0\n",
-       "2019-01-04    0.0    0.0    0.0    0.0    0.0   0.0               214.0\n",
-       "2019-01-05    0.0    0.0    0.0    0.0    0.0   0.0               214.0\n",
-       "2019-01-06    0.0    0.0    0.0    0.0    0.0   0.0               214.0"
+       "1999-01-02    0.0    0.0    0.0    0.0    0.0   0.0               103.0\n",
+       "1999-01-03    0.0    0.0    0.0    0.0    0.0   0.0               101.0\n",
+       "1999-01-04    0.0    0.0    0.0    0.0    0.0   0.0               103.0\n",
+       "1999-01-05    0.0    0.0    0.0    0.0    0.0   0.0               105.0\n",
+       "1999-01-06    0.0    0.0    0.0    0.0    0.0   0.0               108.0"
       ]
      },
-     "execution_count": 115,
+     "execution_count": 205,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -640,7 +629,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 124,
+   "execution_count": 206,
    "id": "37567a9e-dff3-4c80-84e0-572a6ed72b68",
    "metadata": {},
    "outputs": [],
@@ -663,7 +652,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 151,
+   "execution_count": 207,
    "id": "dc7850a4-dc30-4aa7-8719-4f810760c320",
    "metadata": {},
    "outputs": [],
@@ -717,7 +706,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 152,
+   "execution_count": 208,
    "id": "80962ebd-6ad7-48ce-b378-acd68ed03a1e",
    "metadata": {},
    "outputs": [
@@ -750,32 +739,32 @@
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>Set 1</td>\n",
-       "      <td>0.728192</td>\n",
+       "      <td>0.644561</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>Set 2</td>\n",
-       "      <td>0.771258</td>\n",
+       "      <td>0.716547</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>Set 3</td>\n",
-       "      <td>0.777863</td>\n",
+       "      <td>0.708634</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>Set 4</td>\n",
-       "      <td>0.727285</td>\n",
+       "      <td>0.661621</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>Set 5</td>\n",
-       "      <td>0.744617</td>\n",
+       "      <td>0.677477</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5</th>\n",
        "      <td>Ensemble mean</td>\n",
-       "      <td>0.812287</td>\n",
+       "      <td>0.739374</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -783,15 +772,15 @@
       ],
       "text/plain": [
        "             Set      LNSE\n",
-       "0          Set 1  0.728192\n",
-       "1          Set 2  0.771258\n",
-       "2          Set 3  0.777863\n",
-       "3          Set 4  0.727285\n",
-       "4          Set 5  0.744617\n",
-       "5  Ensemble mean  0.812287"
+       "0          Set 1  0.644561\n",
+       "1          Set 2  0.716547\n",
+       "2          Set 3  0.708634\n",
+       "3          Set 4  0.661621\n",
+       "4          Set 5  0.677477\n",
+       "5  Ensemble mean  0.739374"
       ]
      },
-     "execution_count": 152,
+     "execution_count": 208,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -816,12 +805,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 171,
+   "execution_count": 209,
    "id": "f519854a-a994-44fd-a428-4d0c6daa98e1",
    "metadata": {},
    "outputs": [],
    "source": [
-    "def plot_ensemble(ensemble_data, plot_start, plot_end, q_critical):\n",
+    "def plot_ensemble(ensemble_data, plot_start, plot_end):\n",
     "\n",
     "    plot_start = pd.to_datetime(plot_start)\n",
     "    plot_end = pd.to_datetime(plot_end)\n",
@@ -856,7 +845,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 172,
+   "execution_count": 210,
    "id": "f1bb58f8-3dee-43eb-abc8-4af333b5d064",
    "metadata": {},
    "outputs": [
@@ -871,7 +860,7 @@
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 2000x800 with 1 Axes>"
       ]
@@ -886,14 +875,13 @@
     "plot_ensemble(\n",
     "    ensemble_data=ensemble_data,\n",
     "    plot_start=evaluation_start,\n",
-    "    plot_end=validation_end_date,\n",
-    "    q_critical=q_critical\n",
+    "    plot_end=validation_end_date\n",
     ")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 177,
+   "execution_count": 216,
    "id": "b835010a-b272-46b7-9c20-b0db1a99506b",
    "metadata": {},
    "outputs": [
@@ -908,7 +896,7 @@
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 2000x800 with 1 Axes>"
       ]
@@ -920,13 +908,12 @@
    "source": [
     "# Plot for selected year\n",
     "\n",
-    "selected_year = 2024\n",
+    "selected_year = 2012\n",
     "\n",
     "plot_ensemble(\n",
     "    ensemble_data=ensemble_data,\n",
     "    plot_start=pd.to_datetime(f\"{selected_year}-01-01\"),\n",
-    "    plot_end=pd.to_datetime(f\"{selected_year}-12-31\"),\n",
-    "    q_critical=q_critical\n",
+    "    plot_end=pd.to_datetime(f\"{selected_year}-12-31\")\n",
     ")"
    ]
   },
@@ -940,85 +927,77 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 72,
+   "execution_count": 221,
    "id": "dcc14e37-5aea-4b00-ae71-32b68ee03d4a",
    "metadata": {},
    "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "7460b853-5619-44c9-ac89-3c6fc099bde6",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 69,
-   "id": "02d8a545-838c-4da5-9935-22f34d49f4ee",
-   "metadata": {},
-   "outputs": [],
    "source": [
-    "def days_counter_ensemble(plot_data, start_date, end_date, q_critical):\n",
-    "\n",
-    "    start_date = pd.to_datetime(start_date).tz_localize(None).normalize()\n",
-    "    end_date = pd.to_datetime(end_date).tz_localize(None).normalize()\n",
+    "def lowflow_counter_ensemble(ensemble_data, start_date, end_date):\n",
+    "    \n",
+    "    lowflow_days = []\n",
     "\n",
     "    years = list(range(start_date.year, end_date.year + 1))\n",
     "\n",
-    "    lowflow_days = []\n",
-    "\n",
     "    for i in range(len(years)):\n",
-    "\n",
+    "    \n",
     "        year = years[i]\n",
-    "\n",
+    "    \n",
     "        # Define start and end month-day\n",
     "        year_start = pd.to_datetime(f\"{year}-05-18\")\n",
     "        year_end = pd.to_datetime(f\"{year}-10-17\")\n",
-    "\n",
-    "        year_data = plot_data[\n",
-    "            (plot_data.index >= year_start) &\n",
-    "            (plot_data.index <= year_end)\n",
+    "    \n",
+    "        year_data = ensemble_data[\n",
+    "            (ensemble_data.index >= year_start) &\n",
+    "            (ensemble_data.index <= year_end)\n",
     "        ]\n",
     "\n",
+    "        # Set zeros to count from\n",
     "        observed_lowflow_days = 0\n",
     "        modelled_lowflow_days = []\n",
+    "        modelmean_lowflow_days = 0\n",
     "\n",
-    "        # Loop through Run 1 to Run 5\n",
-    "        for k in range(1, len(par_ensemble) + 1):\n",
+    "        # Count observed lowflow days\n",
+    "        for j in range(len(year_data)):\n",
     "\n",
-    "            run_lowflow_days = 0\n",
+    "            observed_q = year_data.iloc[j][\"Observed discharge\"]\n",
     "\n",
-    "            for j in range(len(year_data)):\n",
+    "            if observed_q < q_critical:\n",
+    "                observed_lowflow_days += 1\n",
     "\n",
-    "                modelled_q = year_data.iloc[j][f\"Run {k}\"]\n",
+    "        # Count model mean lowflow days\n",
+    "        for j in range(len(year_data)):\n",
     "\n",
-    "                if modelled_q < q_critical:\n",
-    "                    run_lowflow_days += 1\n",
+    "            modelmean_q = year_data.iloc[j][\"Mean\"]\n",
     "\n",
-    "            modelled_lowflow_days.append(run_lowflow_days)\n",
+    "            if modelmean_q < q_critical:\n",
+    "                modelmean_lowflow_days += 1\n",
     "\n",
-    "        # Count observed low-flow days\n",
-    "        for j in range(len(year_data)):\n",
+    "        # Count modelled lowflow days\n",
+    "        for j in range(len(par_ensemble)):\n",
     "\n",
-    "            observed_q = year_data.iloc[j][\"Observed discharge\"]\n",
+    "            set_lowflow_days = 0\n",
     "\n",
-    "            if observed_q < q_critical:\n",
-    "                observed_lowflow_days += 1\n",
+    "            for k in range(len(year_data)):\n",
+    "\n",
+    "                set_q = year_data.iloc[k][f\"Set {j+1}\"]\n",
     "\n",
-    "        average_modelled_lowflow_days = np.mean(modelled_lowflow_days)\n",
+    "                if set_q < q_critical:\n",
+    "                    set_lowflow_days += 1\n",
     "\n",
+    "            modelled_lowflow_days.append(set_lowflow_days)\n",
+    "\n",
+    "        setavg_lowflow_days = np.mean(modelled_lowflow_days)\n",
+    "        \n",
     "        lowflow_days.append({\n",
     "            \"year\": year,\n",
-    "            \"observed_lowflow_days\": observed_lowflow_days,\n",
-    "            \"run_1_lowflow_days\": modelled_lowflow_days[0],\n",
-    "            \"run_2_lowflow_days\": modelled_lowflow_days[1],\n",
-    "            \"run_3_lowflow_days\": modelled_lowflow_days[2],\n",
-    "            \"run_4_lowflow_days\": modelled_lowflow_days[3],\n",
-    "            \"run_5_lowflow_days\": modelled_lowflow_days[4],\n",
-    "            \"average_modelled_lowflow_days\": np.round(average_modelled_lowflow_days)\n",
+    "            \"observed\": observed_lowflow_days,\n",
+    "            \"modelmean\": modelmean_lowflow_days,\n",
+    "            \"set_1\": modelled_lowflow_days[0],\n",
+    "            \"set_2\": modelled_lowflow_days[1],\n",
+    "            \"set_3\": modelled_lowflow_days[2],\n",
+    "            \"set_4\": modelled_lowflow_days[3],\n",
+    "            \"set_5\": modelled_lowflow_days[4],\n",
+    "            \"set_avg\": np.round(setavg_lowflow_days)\n",
     "        })\n",
     "\n",
     "    lowflow_days = pd.DataFrame(lowflow_days)\n",
@@ -1028,8 +1007,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 70,
-   "id": "4dd215db-3fbe-44fa-9c07-26f13e64d255",
+   "execution_count": 222,
+   "id": "7460b853-5619-44c9-ac89-3c6fc099bde6",
    "metadata": {},
    "outputs": [
     {
@@ -1054,32 +1033,71 @@
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>year</th>\n",
-       "      <th>observed_lowflow_days</th>\n",
-       "      <th>run_1_lowflow_days</th>\n",
-       "      <th>run_2_lowflow_days</th>\n",
-       "      <th>run_3_lowflow_days</th>\n",
-       "      <th>run_4_lowflow_days</th>\n",
-       "      <th>run_5_lowflow_days</th>\n",
-       "      <th>average_modelled_lowflow_days</th>\n",
+       "      <th>observed</th>\n",
+       "      <th>modelmean</th>\n",
+       "      <th>set_1</th>\n",
+       "      <th>set_2</th>\n",
+       "      <th>set_3</th>\n",
+       "      <th>set_4</th>\n",
+       "      <th>set_5</th>\n",
+       "      <th>set_avg</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>2020</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
+       "      <td>2000</td>\n",
+       "      <td>20</td>\n",
+       "      <td>2</td>\n",
+       "      <td>9</td>\n",
        "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
        "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>2.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>2021</td>\n",
-       "      <td>0</td>\n",
+       "      <td>2001</td>\n",
+       "      <td>60</td>\n",
+       "      <td>59</td>\n",
+       "      <td>64</td>\n",
+       "      <td>64</td>\n",
+       "      <td>59</td>\n",
+       "      <td>59</td>\n",
+       "      <td>56</td>\n",
+       "      <td>60.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2002</td>\n",
+       "      <td>52</td>\n",
+       "      <td>27</td>\n",
+       "      <td>56</td>\n",
+       "      <td>38</td>\n",
+       "      <td>30</td>\n",
+       "      <td>27</td>\n",
+       "      <td>36</td>\n",
+       "      <td>37.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2003</td>\n",
+       "      <td>51</td>\n",
+       "      <td>40</td>\n",
+       "      <td>59</td>\n",
+       "      <td>36</td>\n",
+       "      <td>46</td>\n",
+       "      <td>45</td>\n",
+       "      <td>19</td>\n",
+       "      <td>41.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2004</td>\n",
+       "      <td>5</td>\n",
        "      <td>0</td>\n",
+       "      <td>1</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
@@ -1087,30 +1105,177 @@
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2022</td>\n",
+       "      <th>5</th>\n",
+       "      <td>2005</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
+       "      <td>6</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>2023</td>\n",
+       "      <th>6</th>\n",
+       "      <td>2006</td>\n",
+       "      <td>42</td>\n",
+       "      <td>21</td>\n",
+       "      <td>43</td>\n",
+       "      <td>18</td>\n",
+       "      <td>29</td>\n",
+       "      <td>22</td>\n",
        "      <td>0</td>\n",
+       "      <td>22.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>2007</td>\n",
+       "      <td>25</td>\n",
+       "      <td>5</td>\n",
+       "      <td>12</td>\n",
+       "      <td>3</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4</td>\n",
        "      <td>0</td>\n",
+       "      <td>5.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>2008</td>\n",
+       "      <td>37</td>\n",
+       "      <td>19</td>\n",
+       "      <td>31</td>\n",
+       "      <td>16</td>\n",
+       "      <td>22</td>\n",
+       "      <td>19</td>\n",
+       "      <td>5</td>\n",
+       "      <td>19.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>2009</td>\n",
+       "      <td>42</td>\n",
+       "      <td>54</td>\n",
+       "      <td>64</td>\n",
+       "      <td>50</td>\n",
+       "      <td>53</td>\n",
+       "      <td>57</td>\n",
+       "      <td>45</td>\n",
+       "      <td>54.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>2010</td>\n",
+       "      <td>6</td>\n",
+       "      <td>6</td>\n",
+       "      <td>26</td>\n",
+       "      <td>6</td>\n",
+       "      <td>8</td>\n",
+       "      <td>3</td>\n",
+       "      <td>6</td>\n",
+       "      <td>10.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>2011</td>\n",
+       "      <td>36</td>\n",
+       "      <td>35</td>\n",
+       "      <td>46</td>\n",
+       "      <td>27</td>\n",
+       "      <td>34</td>\n",
+       "      <td>38</td>\n",
+       "      <td>25</td>\n",
+       "      <td>34.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>2012</td>\n",
+       "      <td>13</td>\n",
+       "      <td>18</td>\n",
+       "      <td>25</td>\n",
+       "      <td>15</td>\n",
+       "      <td>18</td>\n",
+       "      <td>19</td>\n",
+       "      <td>9</td>\n",
+       "      <td>17.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>2013</td>\n",
+       "      <td>21</td>\n",
+       "      <td>32</td>\n",
+       "      <td>39</td>\n",
+       "      <td>28</td>\n",
+       "      <td>31</td>\n",
+       "      <td>34</td>\n",
+       "      <td>27</td>\n",
+       "      <td>32.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>2014</td>\n",
+       "      <td>43</td>\n",
+       "      <td>59</td>\n",
+       "      <td>65</td>\n",
+       "      <td>54</td>\n",
+       "      <td>57</td>\n",
+       "      <td>61</td>\n",
+       "      <td>51</td>\n",
+       "      <td>58.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>2015</td>\n",
+       "      <td>60</td>\n",
+       "      <td>105</td>\n",
+       "      <td>109</td>\n",
+       "      <td>126</td>\n",
+       "      <td>125</td>\n",
+       "      <td>104</td>\n",
+       "      <td>66</td>\n",
+       "      <td>106.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>2016</td>\n",
+       "      <td>7</td>\n",
+       "      <td>3</td>\n",
        "      <td>0</td>\n",
+       "      <td>5</td>\n",
+       "      <td>5</td>\n",
+       "      <td>5</td>\n",
+       "      <td>5</td>\n",
+       "      <td>4.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>2017</td>\n",
+       "      <td>15</td>\n",
+       "      <td>15</td>\n",
+       "      <td>22</td>\n",
+       "      <td>10</td>\n",
+       "      <td>16</td>\n",
+       "      <td>19</td>\n",
        "      <td>0</td>\n",
+       "      <td>13.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>2018</td>\n",
        "      <td>0</td>\n",
+       "      <td>4</td>\n",
+       "      <td>9</td>\n",
+       "      <td>1</td>\n",
+       "      <td>6</td>\n",
+       "      <td>3</td>\n",
        "      <td>0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>4.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>2024</td>\n",
+       "      <th>19</th>\n",
+       "      <td>2019</td>\n",
+       "      <td>0</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
@@ -1124,44 +1289,58 @@
        "</div>"
       ],
       "text/plain": [
-       "   year  observed_lowflow_days  run_1_lowflow_days  run_2_lowflow_days  \\\n",
-       "0  2020                      0                   0                   0   \n",
-       "1  2021                      0                   0                   0   \n",
-       "2  2022                      0                   0                   0   \n",
-       "3  2023                      0                   0                   0   \n",
-       "4  2024                      0                   0                   0   \n",
-       "\n",
-       "   run_3_lowflow_days  run_4_lowflow_days  run_5_lowflow_days  \\\n",
-       "0                   0                   0                   0   \n",
-       "1                   0                   0                   0   \n",
-       "2                   0                   0                   0   \n",
-       "3                   0                   0                   0   \n",
-       "4                   0                   0                   0   \n",
-       "\n",
-       "   average_modelled_lowflow_days  \n",
-       "0                            0.0  \n",
-       "1                            0.0  \n",
-       "2                            0.0  \n",
-       "3                            0.0  \n",
-       "4                            0.0  "
+       "    year  observed  modelmean  set_1  set_2  set_3  set_4  set_5  set_avg\n",
+       "0   2000        20          2      9      0      1      1      0      2.0\n",
+       "1   2001        60         59     64     64     59     59     56     60.0\n",
+       "2   2002        52         27     56     38     30     27     36     37.0\n",
+       "3   2003        51         40     59     36     46     45     19     41.0\n",
+       "4   2004         5          0      1      0      0      0      0      0.0\n",
+       "5   2005         0          0      6      0      0      0      0      1.0\n",
+       "6   2006        42         21     43     18     29     22      0     22.0\n",
+       "7   2007        25          5     12      3      7      4      0      5.0\n",
+       "8   2008        37         19     31     16     22     19      5     19.0\n",
+       "9   2009        42         54     64     50     53     57     45     54.0\n",
+       "10  2010         6          6     26      6      8      3      6     10.0\n",
+       "11  2011        36         35     46     27     34     38     25     34.0\n",
+       "12  2012        13         18     25     15     18     19      9     17.0\n",
+       "13  2013        21         32     39     28     31     34     27     32.0\n",
+       "14  2014        43         59     65     54     57     61     51     58.0\n",
+       "15  2015        60        105    109    126    125    104     66    106.0\n",
+       "16  2016         7          3      0      5      5      5      5      4.0\n",
+       "17  2017        15         15     22     10     16     19      0     13.0\n",
+       "18  2018         0          4      9      1      6      3      0      4.0\n",
+       "19  2019         0          0      0      0      0      0      0      0.0"
       ]
      },
-     "execution_count": 70,
+     "execution_count": 222,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "lowflow_days = days_counter_ensemble(\n",
-    "    plot_data=plot_data,\n",
+    "lowflow_counter_ensemble(\n",
+    "    ensemble_data=ensemble_data,\n",
     "    start_date=evaluation_start,\n",
-    "    end_date=validation_end_date,\n",
-    "    q_critical=q_critical\n",
-    ")\n",
-    "\n",
-    "lowflow_days"
+    "    end_date=validation_end_date\n",
+    ")"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 223,
+   "id": "02d8a545-838c-4da5-9935-22f34d49f4ee",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4dd215db-3fbe-44fa-9c07-26f13e64d255",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
   {
    "cell_type": "code",
    "execution_count": null,

From 4bc40a8e1500eadbc86e989e96242ff6a8a12b8b Mon Sep 17 00:00:00 2001
From: Maxime <mxdebekker@gmail.com>
Date: Wed, 27 May 2026 17:53:23 +0200
Subject: [PATCH 05/24] Shapefiles

---
 Workyard/Shapefiles/07DA001_basin.cpg |   1 +
 Workyard/Shapefiles/07DA001_basin.dbf | Bin 0 -> 1641 bytes
 Workyard/Shapefiles/07DA001_basin.prj |   1 +
 Workyard/Shapefiles/07DA001_basin.qmd |  27 ++++++++++++++++++++++++++
 Workyard/Shapefiles/07DA001_basin.shp | Bin 0 -> 1628460 bytes
 Workyard/Shapefiles/07DA001_basin.shx | Bin 0 -> 108 bytes
 6 files changed, 29 insertions(+)
 create mode 100644 Workyard/Shapefiles/07DA001_basin.cpg
 create mode 100644 Workyard/Shapefiles/07DA001_basin.dbf
 create mode 100644 Workyard/Shapefiles/07DA001_basin.prj
 create mode 100644 Workyard/Shapefiles/07DA001_basin.qmd
 create mode 100644 Workyard/Shapefiles/07DA001_basin.shp
 create mode 100644 Workyard/Shapefiles/07DA001_basin.shx

diff --git a/Workyard/Shapefiles/07DA001_basin.cpg b/Workyard/Shapefiles/07DA001_basin.cpg
new file mode 100644
index 00000000..3ad133c0
--- /dev/null
+++ b/Workyard/Shapefiles/07DA001_basin.cpg
@@ -0,0 +1 @@
+UTF-8
\ No newline at end of file
diff --git a/Workyard/Shapefiles/07DA001_basin.dbf b/Workyard/Shapefiles/07DA001_basin.dbf
new file mode 100644
index 0000000000000000000000000000000000000000..b554ebf7a83da1dbe50c12b56900a3ac9f7d6783
GIT binary patch
literal 1641
zcmeH{O-{ow5QS4gC4_|7ut2PQ0&qgpWa}nDfZ9}YN)fBbDg%TnDL6k%uEROF7{Yd2
zfrH@ylv%{~`^MvWk?gIPZntAu)?4RwTMXagF1uZ8v78*NSF16pSd}e`xX!IWO1mu{
zvmD|@E>*?fTU_q1OC>7at{(}$+G6B{154+*BXU%Khx_^gB;)WKr;sx~|2)6lpW@Fo
zhzw)@Q{biWFAErX$SO!VG=hgRX-9s(MDoC%ARR(+Z|;A|rAss4Lx!-i7ZQwZfym^X
z3`i0XL@%ZhMT2NKzD8$bIzgjgbVVt-F%<YK5}Q?71G*b1Pzk)rW}0rFI<Ds&V?7Z1
zN!M%suQuloT-F632Rl7<f*$LvSk5=azch~f;%RXm?E5|3zA@^)*skCAu*Qx)03o>8
Ag8%>k

literal 0
HcmV?d00001

diff --git a/Workyard/Shapefiles/07DA001_basin.prj b/Workyard/Shapefiles/07DA001_basin.prj
new file mode 100644
index 00000000..f45cbadf
--- /dev/null
+++ b/Workyard/Shapefiles/07DA001_basin.prj
@@ -0,0 +1 @@
+GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]]
\ No newline at end of file
diff --git a/Workyard/Shapefiles/07DA001_basin.qmd b/Workyard/Shapefiles/07DA001_basin.qmd
new file mode 100644
index 00000000..74011b2e
--- /dev/null
+++ b/Workyard/Shapefiles/07DA001_basin.qmd
@@ -0,0 +1,27 @@
+<!DOCTYPE qgis PUBLIC 'http://mrcc.com/qgis.dtd' 'SYSTEM'>
+<qgis version="4.0.1-Norrköping">
+  <identifier>MDA_ADP_07_DrainageBasin_BassinDeDrainage</identifier>
+  <parentidentifier></parentidentifier>
+  <language>ENG</language>
+  <type>dataset</type>
+  <title>MDA_ADP_07_DrainageBasin_BassinDeDrainage</title>
+  <abstract></abstract>
+  <links/>
+  <dates/>
+  <fees></fees>
+  <encoding></encoding>
+  <crs>
+    <spatialrefsys nativeFormat="Wkt">
+      <wkt>PROJCRS["Canada_Albers_Equal_Area_Conic",BASEGEOGCRS["NAD83",DATUM["North American Datum 1983",ELLIPSOID["GRS 1980",6378137,298.257222101,LENGTHUNIT["metre",1]]],PRIMEM["Greenwich",0,ANGLEUNIT["degree",0.0174532925199433]],ID["EPSG",4269]],CONVERSION["Canada_Albers_Equal_Area_Conic",METHOD["Albers Equal Area",ID["EPSG",9822]],PARAMETER["Latitude of false origin",40,ANGLEUNIT["degree",0.0174532925199433],ID["EPSG",8821]],PARAMETER["Longitude of false origin",-96,ANGLEUNIT["degree",0.0174532925199433],ID["EPSG",8822]],PARAMETER["Latitude of 1st standard parallel",50,ANGLEUNIT["degree",0.0174532925199433],ID["EPSG",8823]],PARAMETER["Latitude of 2nd standard parallel",70,ANGLEUNIT["degree",0.0174532925199433],ID["EPSG",8824]],PARAMETER["Easting at false origin",0,LENGTHUNIT["metre",1],ID["EPSG",8826]],PARAMETER["Northing at false origin",0,LENGTHUNIT["metre",1],ID["EPSG",8827]]],CS[Cartesian,2],AXIS["(E)",east,ORDER[1],LENGTHUNIT["metre",1]],AXIS["(N)",north,ORDER[2],LENGTHUNIT["metre",1]],USAGE[SCOPE["Not known."],AREA["Canada - onshore and offshore - Alberta; British Columbia; Manitoba; New Brunswick; Newfoundland and Labrador; Northwest Territories; Nova Scotia; Nunavut; Ontario; Prince Edward Island; Quebec; Saskatchewan; Yukon."],BBOX[38.21,-141.01,86.46,-40.73]],ID["ESRI",102001]]</wkt>
+      <proj4>+proj=aea +lat_0=40 +lon_0=-96 +lat_1=50 +lat_2=70 +x_0=0 +y_0=0 +datum=NAD83 +units=m +no_defs</proj4>
+      <srsid>27124</srsid>
+      <srid>102001</srid>
+      <authid>ESRI:102001</authid>
+      <description>Canada_Albers_Equal_Area_Conic</description>
+      <projectionacronym>aea</projectionacronym>
+      <ellipsoidacronym>EPSG:7019</ellipsoidacronym>
+      <geographicflag>false</geographicflag>
+    </spatialrefsys>
+  </crs>
+  <extent/>
+</qgis>
diff --git a/Workyard/Shapefiles/07DA001_basin.shp b/Workyard/Shapefiles/07DA001_basin.shp
new file mode 100644
index 0000000000000000000000000000000000000000..7f647ec77e9030b0a00338c92ffdb3ab082714b7
GIT binary patch
literal 1628460
zcma&tXH?H`{6FvpN_)ykQ;8DV+S*G|L{p_wv^SDcni`~C8X6k3leS1xQlep1qD9IM
z^?zR9bN+XJ=Xc}hhI1ZX<GSAC^B&jdgMwlw9mW6lhruOzhMIz6Jz^GrPF{0<WYwns
zSJ2RwMNf5a2y2PWsCirEzmE)ez8a|hZ{`2v-zX^<Tx|X?y(m!_6-)lcxO+Pfl^(Nd
z+pDkd+Q6!(%JRvGXA*v=^Vd5ce(T9|@;%%d=Gk8cTV-qHZZNfKi<J;%%Z67x`6p>%
z=G*BmMesi!;T@vzxYY0RG}vocaY_XKJQ8>88f?K%Bcu;s3dl?ig>Mf1bvOh!H&A|!
zfqN<%o;blVRQtaN!y2khOlM)m&}&9fF#ofl%uBFS7b9y3Tv{3RIs`7fdgd&N-}*zx
zn-BA!NxyReHr%ztrV#c!y+jiRQ+*E2?SjXJ9_#wSDtgv7kKt=-K8vpKaZ?74=WtTp
z77r(w{fEr47qCmbbB_mn_-lC65<I#&qSpa_Zrl9tEBtWpppYBfWqh)d^0-x-jHX^8
zsTaJFxl9e;%)d_I35y6R7P7()3oF5AVY36lAK77z8>-{pu<4oY8T_yfQ<??oXLiKt
zl^}d~b-b3$SGz!_Za1vUNcDr{%T8SRDFz$ps~--8->mVM%EQ_8p#vnpfGJ=>5vIES
zVD}~1bX4=PI$W<leum_;DCN*-!H>8$caZ(FRac?W1lHwI(IokIE@l2b2H%xGmmLA0
zX<3ar1NVPOK1t&DG@W~0;5}MT?vpqNv$}T)>}7oFH<`cMw)XwEVR1p3Y)5!%%VbLv
z%=!JLwKdEXafYH5R^*_%PvUwp7mNPFDK~cfJOpbi@XW5l+h1rLF@+-x9<{GOf%7%~
zUxEqjdBk}gExenDd)@-hnytCV35QFDoFVzU9@zZmf-lo$JtE^V=xi9`f%_bF*IB}G
zK6M=Yuw=|BYkPPs*YfjD*wK^zrY+1B*y$+-&lD*bd%^xsJoF{u1hzNV+~ETkL}R7l
z{2kxs{o$Wp!;Xru<d*BAzHpQ8joZp_NkHM1i|{bJ%4JP>`%jgQ^KkZAsz=)J_glui
z<nzE>aVN_VHYodOP0s%}mcDNf!<Pzw)knfK7QNT4VSV#WawPxiSlV+N*d}wwb@KU%
z_WKm!2IpUvU=4>Kb+vbUz;O)9XXD@tR2&zBU;`n=InvK{=a-gXnC7R32KjvU2c@P)
zz~7%Yhm!n(UjbuL@XFUmuajY?AN(~5@I#9O+i$?Z9UFdJhc|U8`)9(MdKTPQ;b#uL
zvgG<;tj{<};xc7pn)Ptur4zIyK0WKWp%MOUOu>=_ADs4edj%&NeetV+|19ykJcHj2
z&(v4JMYG!<kHWdn{eM4)5B+>g)d#l}1}VIRXN5*ApTnJ5*SqH7(c$}BN!+Y0kM1+<
zr*+qd#04je-+zO3(wC}9|6@;+O8&r$y`2x{;1cOK10=o>8FBd&d_!e-3W=N4m?vyt
zL%(Cr%_JVfy7kCL`0~M=gTLV$FIU!Wg>}P5PA|hYPwP9l;d$l#;v~-dBVtGz{<hEN
zD2WTjY2J{7SFdM}{D6H61$A`c*~-q<MVMvuEv*4;nPE&r>hma5JzU`$Z;r+dW>#$(
ztL%%X;pdN3|Ixx{3|4hK;Lpj|lttmRZ_8nJu+*~?e??&Khm4};@a-#O`!B%bM>g;s
zfQ1?)?)bsg?#3=6uv+3m_(iy2*tk@P<bO@oAo=DW0*-8l?fngTF2l|fehFlIX(d+1
zFTs&|Su$*}qfKdTI9xxL>dOop`kH!&!J3(^+i2j!hSY~*;Is$z=Ih`~&3EXc;JER(
z6o0Y5_Z~ET9}lljexdRkE~KN#i-qlJSEs+g)Cck}+<>W1EbsUXcUm4ga2@Uu*xEY{
zzm)#OmIf!%FwjlGbJa-$$#C0lsfsc9&QwomJ}hvTS$r5a^W<8~h8?Kw&Od@P^-4wx
z;rb$j`w!p*#os1*@D7uk>nq{Ep3F2A@HSi5&{DXsy5`XxSV=i$*DW}d{=x2Um|c`b
zC>7Rj6>{x`S!5@Ja$ts+LVTmJ;9A7rblAq~n%y{j#Q3-=sh<*HRh)$9Xm%u#{IjdU
zLGNLT+e@Es!<m0C?O%rV>VjNIetpRg?{9EKmhNLRA7PEJ!c^us-`_k|FN6mlc{s0w
zpD@H{-Gv!@KdaHh13}uaNPh71b98L5*-Yvz+5Q8j-}aGsQN&b9C*1UTt(F;P>2tLn
zfqS#OU(vz=8}9Lr!<rc(wv6z<9Mz$Dc;y3|0tZZO@tt)R-k`FlZ8ID!b-sff&swT!
zgFW!e%!?sQaIBXRohU4s+Om`6ca4uv?T0T#+dF=MRSPw9_rkhw3K-tNOg~JHD#2SW
z&PI{>=m;++tH71p3#Z<}S84n_wBV$cg90RfTP$a_4*a9^?*-CNqg}w!6mCn{`J3dA
zrj5Tl0)OPK)f|Ake9aq9z}mjrVNYOfk$e6mKUq0$cLyA1RkGV2zI&^rs1;5vFm`o>
z@AunMcEKjT>U=)1m!n%yJFM}APV^#Nvt4nToR2z}qK^2Hcy41MnNOtg*B9quy#PM*
zpD<6$xrz{YaOP&}H&}F5@@pupu4lANJ|CKi4=<&{Ss$zJkhtj=N~L7@Ny_@83-Eb{
zuX&a5#fs`f6L3I&%XBsTaK^HT>|ggjxz+}lYM^DBj8DD&Zo~uF$FzER4c56Rc9+B#
zf{)fv;qw{0SmH<G+bOgjY=gJbNFDBiKR(P|+YE=UXHM*aMdUQi_+g>;RF`LP`jyNS
z9++-ZK=}}SQA>GA7?z`qv73Mu!rr-({I@$j3#Q=Sm`k0z;F7YC6HD-~Kdc%%V9r9f
zjIXe`-rX!Q_~fHNLrM#)wyuSJTX({72_Dy|;q;Im@4ayT$+hj9;kZ;!aT0%a;jhhB
zc-56AlElThsW?R7k{hSi?S?G|>C?qvA>OEa@^H{dg100*^RN87EIeZM=#nD5GV<BN
z4DPa%E|i89*!s3x!lFvY#N^@O^Rojku)KS#F{!UG>bUL>zfbzUjl}(&-LoU%RUPrC
z+OVwX-EE<;5+$zs@S{FC-x%0~eR}>d{B!k4HOaT(U$@r;rua0*a1A~)l0$0_H{D*;
zi-TDdAL(1dGE;u}$#6T3kk>IdX3r_dH295`%P%u{d!gr+61eFq%b*QhV-$M42<|v{
zfb$ew6+&BC4tpJX^Vu1GT*J9o1}i7fOSr&Nl4&}%@IBf}dT+RAF*m#l*2|qV^o8>q
z1m88lQ7w@of$)6_5uSSZV_D1DAovg0ZT~j7KG$$C4KAs^?oRrZStW30!c6O#x|`w0
z@)C=A@F2t5hDJEbAV8u3PAUnoc?ciw-^x%14=Fg@B>kqO9gOb6--KTO?1J}|6jL?9
zzvha)N&fKr70nj-@HXBjy)d^ZTlhPer@@M<1@@}&?4E>`c%E21h6mh+_O8NSXTBK!
zH~s@<ZwgDRHal92GSZJF!daLJe!n)nlhpT=jXSfz3sXuVr2h5Bb=!I1EXLx$WPa&X
z7j5|98d)aOZdh)XMSdszG^;t0<PXZmUEBrpbMSxahj;nb?vsVzUiNk(`Hzzi_#A-u
zt2}@34EFofcSsc;*7jc``SpfcbjonUHLgO^FVbjuN&}YOS3gDO>%w4|qXyRwo`@#f
zV|Q=loG#2t^Rts2pZTYUWwc>os#LcMm{#Z|vmtETCs}p}mQOS6(}$V)hK&p0(A0qf
zV|Z_{TS6Xe>!fXW81@rmkxhq3SvwSt!#)B<J}L03#+!Bv_${;T&fD-A<IeFg_>FOL
zDv6)UcHoVGAM!3NWy5dp-hK56W;J~j?FX~%^x^vgt8mf14}zZ@y)L)K3fJ%c5ED08
zEYT@&8*J9pRz~vczqcF{fT#7BXT9MN`46mo@GbkAgtIWqg~&&H;6W8;dPn%{UPsz}
zu<KTRd(zKn!-hsBSVkoIjT1Z&JGZI=pVoOQ>j^u}4MiV?n<)erN!<9sgML$(&*p><
zi3k3jk@SK`9wjQ0{#Uan{e9p+mXDH1e@{M--Iw7~+g@g8cs$he!zEbnMP{81yyD=Z
zp8==byHautjx2YeNrS0U&5s;{%MG&LWy8+OhvM|$jOC=vEZEOqKw1r6JJ9W$5AUjB
z^HPEJ6d&x*gZngRHk0dFnAZ09<#5A=w(I-h>q@&ts$k96GxOwmu=V$G%KLCdcfSb9
zkI{10Y=mk3zlV^1x`in`?eO=77cGkLsLma`M=<AyKU|vdF~5zRgYckF)isjudO#!V
z1-z*KL;Wz^9qQxv8a6cT2`1Z9xih8VEnF=zH%hiQp0g|Q102(Tf0GHU$-MY-1}^*Y
z(%k}9IP;v7-rA}y^zfZ*QXkW)dXpJ0F@1f+8kXR2^WOxQD<{Q~eBCR>jho>pnbMD^
z;2l?~-GpJsVkTRXU-?wCN(6TOz~4ZQ*W)u;_A)T*RbNS4xHI^}Z8=zlDf}uqUUx%I
zNgaX*OB~fmy#7ONfDxQ>);oj5Eq|^PwSpUxb2#kbm*Up$C*h>b5?6A6c;I?P#}Q7T
zRwyC)JbxyyI>D63)TzB-?bmdU?y$4wQx$Umh-h;u@q|4lhg1FGkD5uL0kFEI)vyoD
za_LX!d3a32PW&QVP_!dA1m2=EedauTPbPjk6h0U@^YAi!p6Y%}G(1atnj#nu{J4`k
z7EX_JGK+-Im>R!Igo|%ZCS8FouXXSx!_&@_pJQQ<TVH->!e$#!h?4u2sg#p)HoT3`
zG%OK5*3tZ>4DO(m{zvj#MHHpWVQ;H_rsV#_eklH96a2z+tv><&bD2Y|6?SI(wUgYh
zuF5;S>4PK9?&XkvKh%~4p2922cYbHUMX@Twui)W&OE1zd-f3{lTX@@)QSVJyTZ^Y}
z0j`W+R44t)zuse6gdeZI&CG>6QeV%0hdl~+jgtJlz0LRj!hC&Sr|!YGJ!TT9PvZS?
zQHGD)pG;24Y^8<2Cov9oz&#J`zcRt*iuz3C`ub;$MUE9743#=f?k_S&nT_P(18gS-
z$o+8YXkVftTo@|9i{vvkF1x71jSSWf<o+<kT2rYB2X!mAbiq%yjz=57)8kevWW3VO
zoTrBH&nZO{a=nk${2XElyOg^1lKhoN4UetiZNKz(ko!YevWT%aY~C3#LgMrGtI59b
z$dM!aNj%d;T{jeNzG+!Z<{STwH|`4D?kYj`9B$%QJAD<7n%=KW@`pAHmc_x{YwJ@+
z;o=$1D@pK63d*4u@CRwpo)p;JaY*zneCoF0t($Pwm+sTA;68o1nH<<PH@)pWoP4F(
zpb6GGY*<11nS86d)&jqg-MVoSF69|K(*ZAs{nH@*Ql@&#JK?5#omn5@z>4|EewaP3
zaFp~*?VWux0MjzKOMHT96zGax!i8sb-R9u4+jtw_!Q&Tfp3$@8eJ4-*#z$D^uq5L~
zxbUaR=q!B3{D%W8EX#kf>I=+X|0tIU&hLx;xeS{yhOcabt5WX`{D$Se8Od<K0Xrmj
zueY&kOVy=WR)QnKPE#|$`Zv4wD8PmqkvdFp!n4qDb@+)^Ge0NnU9Q@$3NKquI&#5%
zdsepU!mlVdtMb6FZd93S!8UFOukgVd)@RBM;mTTn>z(jrL!NnkI4z*y)-L#u-E;M$
zu%X?nz<sdYtI$hF;H(Qw?Go^N1-TJ3_%4lB#sS!0d5Zlw?C2l(P64KxO>#L24;0kg
zSA!dU6mMI?Kh7?$YQTnPK2bQpb&4V*`mpGwcttx{-|X~uL%6+FIq3{+*_ZR<DE!Fk
z)xc@kUgf>QaoBP;YL^Gxew2sP8V+F*bZ~`Lc^u7cV9t;I&A#x*;T*}+BtPZUZ!dUZ
zWpA7ptn5`@lL=dE`JO%pzlm4)k_Mj?dQx@)-k>p|lLs@fvxi@X8|IwCvf)e}_uepg
zaF*e95ga^Hn;!#bZb{f&0O#0mnu~>Ros#gp12-gFJ-h)2b61v?z<tVpN3!7C7JHfd
z;4Rxq*OK9emYSh{I6pBsI)lVtE`_~?-(`walKSQmU)@PK_zHz$8myvSwXzInH0Ih}
zhfO|6wSI?RtT5gt`EI;JT&u9+SV=#bPv|j|R}>srkMZBckpM@0T$0)de_FdM9|fn?
zxc{byA3Y84Ao(X=m6dSAl2<k_gu_nSyWDwUuQIzP61QHZIwuFmxQrx`@eG1OYoy_t
z5`%HFJsniMjLI-gl5AW)d?lYfjO4$xYSGDqImFM4?t|&##RZDtFIHb1_rUknN=}!;
z7EdBuNx#jTwjHd3MZ;HCB;Xr-8R0dsuj(}u1-NMB*uqmduxS55($ArMV*el<l=3i*
zj29VFB}ip!)t1}NazF^KNy7p!%siBSjf^+&lAW6kPTVa(D*}%{c7MSP9}`J0C)-=v
zb<u7IEP2k*mJ5Dpxa+nsyvuRuK8ZUY4q;S-PbbG0a=@QPdOKC%@eU?K26((-Ypxc&
z|Da41+22w=hoY6>vP1iJ&fxfXM<<-pfTMg**iFMXf4?wLfTJ7rDIUScHJF4+|Cx9n
zg$J<eX69og-uCUo{@d^fyOKDGUv^`5CFh@3%0eFLe~Ws3(+!xejXjX`ui7T|^BQdB
z$6rd~(thcm0^r?;Rl-QTSn`309~|tzMdSdyc4V8I0W3(ji&7Q-+OA$qt|uF{|83a^
zTO2>9#0)pHf9oavt{L=Klk4BMKUU#nei9Vw7L@Ss?MF|N`H7o5C$HlA8F{LC3+b2V
z_(tgm%)GCBne3mb<5cIq!b3w`cgTFioBjFb;f;Fh!}Z|?%`}S{n8v_WRTq9q%}o6c
zzFw)cYzjXb(mgi@cP8bP9fcn(webzYf>*9wv4BMmj9EN|(>iBW%;4YUN2ojDN}I0D
zHgH9plky|jjZ$pL3O;Q8ZkoK`XlraJvxhC8f8)Ck8>l-w+QEH)UAoBo&Fo$k6=ztS
z?h^G~SS~jAw<GKx^RuJ?&Jpw;bcJ{BqxnGIZxr7?zj_vyqYI8D?>C;jc@AFiA+6Z1
z6xj9vHJ=B`Kexdn9zHGD_sb7XHDE2h3h(<I=SuR6YpGW*z(O02Xq|&2b}~wzgDLJ+
zQTW66t-@b<z{3F^qZi>Hj<H<ieStReS>grw+xHEv4shGoXqU_Ijb!>2JNSt0yl^mV
z6?7%n9RA{$vlb4Ytc!Sc9A=oc^&$BxQ5QtDNxc}$p(wcaWT2x4Y`EW(CIar(`@u+_
z=TAvItiJ)z*DZ$1z!6*cy|2U1D9?(D!}Jd~{40c6eDq!k!3?Y?@8y%YP**5fA1>;q
z4IGEJ+D@9&z&FeuJ$Mbj^s}sHhW&p>-eI)E=WpbtAz9BlyRZ_(0jIl(o!~_L*~75o
z+u*KE@2`{f<S2cqDPB0g{DHb4{6XbGqcBW6<{iWb|JAxlxeI=l_U?rUJehK@N(OGY
zCTBqM1Jj0Gq+r>1Prh!2KQhns8^P99C*F|xoc{MO@({e)ed!9Bug%2^wnt&g8&})b
z!46-FhDm-AOA9kuZ|l0rbJrBMe|}t#tY2PjIsJ;n*J$|;lJ&?D-r*V&uk^ZqfvhhF
ziP7ychW9DX^pN${qfH)^W^lDe@OrX7SQ;18Nb=W}a^1NPxAR%k<iP=%UHdZN@=WVP
z`LNSRp(wK6EA8~}UnShRiDESicB@^dQ3KEBo0}HGi~T0tjj&PNg9MUK=XKJq86I}r
zI{V*xuUNVKBRGFFP_P*BOG2%|kKu^FLl?;UcC2CiSGrSJpHQ1_Pl5-(-ao(yue$Bu
zb`!o%SCK9P?^UH)mk8JTe|WbWewSltN#>hDo#?CrQ@re?BXRlW!SaK!jW_)%62IGV
zo5cz~@;X320jAadW_l8)zkBZ%Sug*^Z${$^r`EsZBK15av=7d}{y)-Nqv5ZDww?j7
zn{m116<9ZcQPdB1_~Jbt2rGEAE|kGPWHm}1Vf%Lh66LV#Nq=hcece-~k?TG1{7>5X
zQ?Rm^{%9ZUX(Frc0#hF=U|ob;KA78+?+Yh?7KP2hZ9OzK<oihH;+thtutbI2`NMFt
zJk7ah@Je%6JtMqsjyad~cm4e-hy^|we~{xb?7$t>zlQJinamF<w!&+pw{K7(zR4!0
zya8S>rSg6WaVf3zm(}o~w^_+Ic(Clf9-06Ay7}KzaPh!^KposPG$=U%SC(#1u7pMI
zp9&p-XI81)>S3pydd*MZ6NbhUq#v*C7(+AsZ(!ejGTsZfR;>m&TUq=AiGOY8RL+Ha
ze5qSV+{J6f|0cZWl*N8BUdYdg&RBS|d)LNh*j4{5WelA9b9#}~SF2ynafX9*Mf|(q
z|NlFNFCQ*8ll`G4Zdpj;9|ZrnjKCYV(rvYeS4L}pzk*ke`t<m~Ckp+Zk^Ni1sj<!r
z-k~wd^#T4U<ZpQ%?yg8*T!8m^s3rTuO!<^D<akB)cz?bG|EPG#_ycyiDKBynuKO*1
z^cVbG?M(0$*x_6i^#*$!-?;g&BtPW(4n11<weMzwNLYFO2YzOF>eJvAl0WWk>BI^%
z^RB)o+us|`qq-R`<*VT$+y6-~Eqp6Hp7Gi}5vE_Yu;z!EcE%Scz_ncC`GT<OLLFrq
z{O8Qgz}+w%rM*HjymyTMp%|>h5}io)ch-~XbV)enuEdiJ*yg(Hgf!ekb6hAN{v;%E
zUlFd^`^TCbFICl+HD&n2;P!jP@QXgJas#;UvDt2tpLlQdyCEE3cJ6W+aYfdXWAN1g
z)+Unw@rxA430Up+UXChQO{eLh1FZetID+I;nVHi$!QrNEZ)@N&`M39d;mFPq<8pXC
zcNj$gY!H}Ua*xzUZm75d8wuRpPWrt(Q1v5%<Zr3*CFh&jsl|(#a6}`w0ExRCRFqAJ
zlgBppkogSod}qpqe;o*<E`q=L#)pvn`SYeGWPhz)K4^9e-gUn7D%s!cf8*FlK5b@=
z6geL8)rxaP@I6UEH*!3iu14J|fQ|36Yzl_UK1*CEgMHov8j<tk=gvz~C2()$nV;nR
zt88*=Y=LuHvTnJ+0bd2F9>71Jm;E7e#<`BsPI#X#y)-#LE&Z<W^}y!En`6oOso&N0
z^d-C|-MvQgpY4d>GzN!_3>_!q2?p=`{0?6JB6N-9OH2Hbnu66|i_cz$4fbR)%)tjQ
z1qzV)ev)!AS%9r;L(h}#sfjPAT7iSI*glc`Yp1X1{)Oi`xitSfAN3#q+US7yCCTJ_
z<ou=nmZ!o1&wol`j)Pq`t8=l#rH0RRNPbLu!#N(3f31h27M9g@I3fi5Sp7Lbj!$!*
z>f2rLkLOFX?Qrec&vpCY9fI2h+u*9cz8G0}OYR2IQMfLVtA@m5o!=~t!>dKYMuzZa
z4RvQ7T<?sy{|X<2CAV1TX~ISFytQVq`sV}2<o6ne-9N9|z(SfvG356hl$lJ=?cmS+
z3R4!ae9y;HXLt{l0k;|a@CUEF8!VT@+vg1Hsr+U2g=MHj*Pn)k)3%%W!(I>BtjP6W
zGGt|65ZrZlOES6MGw$aL2!=E7uYK}?v+MsEMZmh^R6EJ<Ju<RQ-o(JiMS5ObhR+_9
zs=E$X@pLi=!#4u#|J{J68H-Ox!f)?u4rjnAvAH?q{=}|*p8F=Le;o2F79QGZ`7Iwd
zd+NJC2IinoQYeCpjvS35_dBf^fA+iZ&nfkGa(_&FRAXKN_m%T)O@n3Mr%2p`-FoRw
z$nP<7yhqR7hr8Z=C?WS}<4xJSI^p!j3T~1g@AuK88}4R{^2vpDa!dGL!n*|2Kal&e
z#o+JLqwtQ#&C2<(&6aVMcW}myML&`spCcYI2{ZXW>?h9)GvO>JXW?g~Ni;>UjJ;Fg
zJlwe6>0~+lW>zm~8Gg7VomvJPZ7=Hh1`C|t@TCS;Q;W{}1ADxBDpCcH^v=Ei2diY<
z3?{!nV@v37TIY!8kF-<w@4?U9CD+lwOnLiQ+u%b(T(216>0L{@&9Lmo5J49B>V>9U
z^8M^0z2l!vaQ4-JG4gzsyQUVs4PIuaj~;?`xJB&*;NZds?E^5!*v;Y{u;8o6t)rwq
zDI!D^{`^zk<OTe-c&%#>yyQnwO1@8CTQ{2{1^?Q1cWN9~c6XSOfvw(qD!hjWB&c+Z
ziK(f0NI#oX(eX#&=6`Lz<oj6qGw!D?U^yp?yQH6rN%W7CaJ%ZT)gs)%uN341pSu@D
z^O5-J^A10F<%-%#60cd8<r@ZTY8nra?{o7*6`I3gg=4fL%dm+GrRxp&w+?L@`94@8
zzOW`4woY&SLY`kEo;lm+!}0B<wxr+qd7;od@S$(cZ7g`+rBh<EsDXpqM}9HF?><XQ
zG{QB4uh)cOZOt8Y?Xdn?O}QQLmcE_4df|M<nPg4)<bEE?LAd<8&Qmp5RPuw)bNI!=
zXJLKVSoSsFIQ&Ok|D+C_6kqK08a8xatUC;+O601(hvVe67Z1TE6P}SDVERY1TBh(G
z!810WV2900m&o@6_97~`7h&4@*DuI=Kl?_x;2&^6ml(4d+-=X=^$R}uzSohg*K5D0
z%UOdv^)_Xb_5bZ0TXu4swrV@26kc5n2WxCJVua80XkH-SfAUuh3X}M*Y5L0@@YLe$
z>Q-1_LARkD-q$}A#|!7>csmclzf$kjZH9}AW%rZyQJsb~<vsA@9&=58ykA?Z_HB}a
zE6&AU<bmgue#<DqlbmhiDlpHGB(nybDm~9m))U1I^ZbqA=r2j#j_^BUi)<Zu^KbWS
z&hX*H_`Qc<`4d5^=V8OJahjuWyh>hxKb$<fVq^-J*z6p*1h-x+`>&s4$hy?a@Ntda
z)+31L{fSzPhA)H!eAI(a)Y{*Rg-;eI|JT1Ra*in(J{PZYTnlmg@%9&~u+;0e|N6c4
zeks)emre2?CgZ)M_~UX94m_@#dIC;zzWAsWF8EX8aT2!0?+TmXdiQmd_V9pYR_PNs
zV2|_Y8CbKYZmI`<B$mPN3a@fXD-6NnQ4}lQu(Y(E_W+#zRz}Sae%<}JX9T`8mbvvJ
z{KE4k)eBfR@}=D+*wx6`{0$t~wtgWIR=VNxU!0*)S1K94STbcs;*te!%_Z>g=W$9>
ze|MpA{T;YW$>_g${P_902AFwFrkjk%@x6bw3BKuE#5V!|_~I&D2Mbx$%}l}UKV8>I
z+@F?a@h|+hfO;p1pS;C+Zw=lq<gC*QU)%DGgCFZnj0|7h>tRO6cdrED4h?!;5@(qc
znNox!-o$v2`0`uXQWdx$Y_6WnCyKs+N(ZLiGeJY<E78z!{ScgUU-57`vG%UHW3X&j
zmH%y0zqYsP1e{c7wzm*&KhtJ@7;Zf^V44jJm$eI+z>X`z*|~6puH<<OSp0C><8*jd
zP*TkrR?=By%7R0-=BGKrSz1;yWPiSi&9!xg7hg0VC;eip?OLPZZU(+fsj&NqO++m0
z7WIOe)Kl51$lQdR7xv4NdL|LY)g1V>s2&T6fBPJ<t^p1@nE7Aa%sQ;E39g=9`LEyM
zoMpid*gEP)e>C!24^CD0z#Bd@ej&$ut~QHx0iOHS+ePM2^EXd-7WU{%H6!yAU^xHl
zH>}Y+98Bit{lc&9FPtBy*iG_HZ6>+abK>(&L6t}L$CKFiMpSUt+NcECf5*b^t+K)O
zNqO{S|FcNc$gsepf5S5?VHeBG(|mAUnXxZ9ey5_(ZRdeq1JyS)!&he1`ov*6Ew;B0
z;p$|mbz-nb5VJ=Yd`;wcl_K0}JE8LwUN)VcI{^Qnnjak^_1pz%da(8`4$3ER#cG4?
zA^0F)@feBsWsjV8ge`w{{TKHa{k+#19?{uUJBIi=vF(Z(Fx%1faT9Q+8>LSwd@W{X
z@GE>vsY!es7Q8WAx&oW`-*6m(k9>cBh0+PfGw`a*68!!8yfrP{9%h~Y8P?dfCdUkG
zd^ISc*@WkL3wpLq@GkGolk4D`ow5tuFjd~akK19-MV$^o_)J<m?>2bbr_KBK!lKQ4
zo@>C7s?u~au-djcdNugyQ;t@3xQsW1%Lg9crJSk<&x}hNdBQbZToVScxTa6xIXI2w
zV1o&q5GC-&5AHGLp*DrR6>Oz1!E~Q>URlCxH1w{4ux0YtngdKTveKOem$DWLpM*8`
z9J`(a^JnSnIl-}el@}ktR?N|Y?r=c;Tj5qxzejg85dIV)Ah860E4)z^3P-v%IDdwv
z1<ETEVUs$BJ`pag$LJW3T!q!?18<1JLXmxZ+3=5#uMfGwTHnpIQ{ik@<4vA$ltlPw
zCM@u%;86&Cte1fz8Mcbw92*83%M0p~{Cj8A-d}|c&lk8~gMao{mBqt9e+^QS{FhN1
zEOOwh_J$(ya6!DU;4Rp0lY(b1OyOMlY8uXn7}C29SMbPlOu<4S#=_-r%-*~$f8nW!
zFKe~%JBuAhe#6E-XDJ@Tz3YEfNp8k^Cqt8PD_q5S@q!H8_S1`s#3Ks^f{ox=<pvQF
zuRM87*BI81m1}$mn>NP$w1cm&1xz%-+qjtV41nYJx67yt4&R^P9S^@1{^R=qeyPK$
zcpX;pJJ?F<%QlH8ro&9y?$e}x<#B~Y7A*FwMx2Zn{JFcT04{fbbF?1rkkz|z8=mkw
z^O5AM#{}-W4{LMAGS<NYet(u4;m){92~uyuU}^XoHns0MLF&0n#y7o#n=9D!8sKjN
zUtMS54ae6mkojE>^eUK!n|O6|d*J5N9h5X%aJ_q}c;Oj5C9ZT}9bDjiH)jmqPaBdX
z1m{VXoS%S46_@%1V5xZZoH=;&I^kU!aPhFx<0)8e`Tmj?T++;9HUq~U8q7WpXNj-7
zMC$Ed+dG-VQJmTqB!0>!!qpqL-E1MfNL;s+?*Y><_XRD%Edwim0^qHQ6DNMbYIkiU
z{b0Ap$MaU;MHZ*%Ah>G1YapdFo}YcYA6$SduYc^IhClE<-5dt*@c5Ta2iq}<9S(tq
zO#^2c-~x($MNzQV;Pr>>aF$Qxn{fCA+a|_M@Xm^8>3BF@Y|lq-IJxwV%T>7gam_wn
z*kSM6hd1D~pguZb_)wMjpKCCy#)qukut$byaUOj5M)yNOc+>7To&~UFmtPKvzYKZl
z*8(p-KKz)(=^CR{9>5b?-ew|j%2Md3XK;zT)+K)8KB>CrFoXM9HZtDJ6XN#M@V^JL
za%4W4!>`3=VCpB|IY?YsU~oU>R$O2D>*Y!OqHf3vHOv(G;RzYfKrrAo2fV#H?<?6p
zmjxkDE;wajFr17>$<56x0_Po!EZYiCg?D}24JWNMsE~eI3@u3taAg+VRx(~^Jo6Jd
zSSd^<dOv(#;r%5$_)Tqsy&U{UV9&ji@bqKNn1gUM?Fw56+@C*DArGI?s2vZ5=eVw|
zD8j1GiX^VWJL-NuSBE36&O1lJmEyKeI&f}8A6Ggo^07zF2-bT*XOsf-4ye8`fd@W+
z_*(=I=H00<herx|r3&C3KfcD=!b%kraxL)wla5YKaQ$m`k489P`qv*9cpcmH_CC15
z$?b(V+~3T4tQ!{puE^&Hr|A4DeFpn&s$L0%uV3Js>W5!5PF9?UD}KvgeGGRrKXizM
zJNZLb+F-hj#cknmGgbDjdU*fXqk%-2`{FojHEfghDf}8d+xDxW1b%w9P9Yo4i`})0
z%>M_+tEEg>Q%Ywr6SjK(HMkO%Y&`FO0}lMiE?W+#Kgr-D`%ias+k6uoaq@0lI2^?K
zI=2Dtd_Eu>1eZMvH0^>l@4qYvfT=5!86Lw{*ZvrKz)>%2eJ5aR)%Uv{;2i~>qHkgG
zSo-Idu;)@}!&lgkb2Q*6e0o=c#}d4`pGv?0p0r!ru?GL6AB@+6%P+EDTY)DNcTP&f
z*2mP(Ql7#0H`^JuNWwd64)K$G=P8+Xa=vx#Klf)n;v?&~{N4$VEMKmqhUtYh@_1pN
zO(ijOaP@@XC^u}O(DIYy_X(dDWq`S(-aKP~v%^l<ZG?X;%tVm<@ZwN<^7&|bx6Y0g
zPRu!}wu;ZsY$4NTX4s53X8t>D`&Xfl8&)2WH~RwrkkpskOychoOW(pDwwSZ=!n=x`
zCSSpPG<IDiKSnYshJ0Ry6J7EI;jH-6?d0=(k>w&2$)~*2#z8*sZypEF2*F0B*YwHt
zK(Qn7C_j9FXD;gwOjDR3E&{i;+<#sI7yG5ZC;1^O(-+D0CHLR;7BTpkRCP@@T)HpQ
zXE(gu{njc4j;pYJr3se?{E#EpuYZGf*VW-~mxU)o;f+SYw&&r;^7m3);p~lxrGaqM
zOweavxJYbx;U=sV7PfX8*5CU>CKu*5)iNd5Yh|t{EVp5vd&5^reX;klc?sM#kTgZ=
zyPUjdTHpW$u?P}p-IOQs0G^JXc}?O%fqo2KaOpND4st&@5L#^7L*i8eXUX-v`_OhF
z%Ck5=2Qzpa;FdEl##Rw;UY_Z+B>5ESHR}=YOVM35gEs~npP`0_@=}V9z>gYPHRxdf
ziSMrsVegyWziHrOS{f1Le&rq<HpB$S@Z>bB!(v;WZfAvWRvhLqfHxe_c*X<!QTz=i
z`JW1tw(-L|pB29({p>qhZcD@2v$5w%d@OX!S6O&?QT7>$4@_Js)Fkn?CM8|?tnbG!
z+OXYv`x|6_GR9dwhH#KlP7ldXR-xuR0)Ob%<R|yf`lD`L*6`)g%2<+rkZYXH7Ix1+
z`kriWf>FZ4X?W>E*jAE1d6rW43>+9I<arY2KX{MD6F&Xva1q&G2k(hlc*9ZJU;f#{
z&by|h&chRXxTNf0i{F-)0^zKuHPL6_7m2T1Z^Dad%4wwjSBV2%E_~Da#UiOMQ`qL&
z1eaw~b&>hR@{~8Wz}5*#Jfz>zLTdLun29PWn$%DBo!QX?HwmtjItpj=AFX@?A1z!M
z)`ypCY8_v}dQ#Sx$nh9SHCCO1m7)*Vs=^oItG~a4IlbDg<>1sU22Vf2uWhStNW<~o
zWnt5B;;kLZd*FND2W7v)9@>A4cfy0R`#ybv<rdscc;R<@TOR*}59b_@;)czJw+4QP
zf8Oks;DF0Hs%Yt4@P04v`J5iEduM6F0AJ%<*-heKZ_Qm7huPA$$ZdcX>TbQ>2OrJN
zjAMdtaOEZ_!>_7ER%qdhRhw~DSbgR8VOF?h+#=2p=28-BBK<v9lhqAi>5WAW)bP9@
z^L7(>k-;{D0^VJsJ9rqLmzdJ{h3C0t-{#WeaK=FT`R}ldh~y@cKf{;(<UM?lH)qid
zeqnozdJ@*uAI~TGB3ECQjlxAU>Os~p%juZO7qCV^kfbH7G|zao9~R`-{NM}^IJo}o
zf{&*KW}Jq(4lU)h!6W%&K5lTwLgtHRm|sEfEy=&xn!oD~%<Pq0?*U(<GCElT??@PR
zCHZ`x2Wj(QC6|kQf$(cNUY|^u*1Kx>92^mmzx@W>|3)`50{*gdIx-GE(SJed3S2&V
zRw5ierPO_)2$sEMsvH0xtGV^K7#7Ixxe*NWs!wHCzy+B{doIE$?Co<^@C)irK2o3b
zE6}eKzN~rZ0f|T7OBU^b#aCXR@rCd7_OI)M85GQOykNi2AMba=ak}%mXJ8L0bpu&f
ztba}|WGlfPQ8JX$u;56nt~9*<R)E7{xSKYLXE(`TIJMOfe&MyJiys#1_35*KvqMuQ
zxM9{+%Mdg8?P29t>~PKw8*>|&waJ~86|QO2X10a}rZ^jE;mJs?8GE>DM&rwR_`Y~h
zkTa||@;!4CY{C|N+ymZZ$va5;(TV5gdBOW0`ihY8yzbn(a1KuIPq*3vCkk{wz5qWA
zT&yPZYcgu)aDyv0=Iic+SLUfpN&Uw_qaU&`Qv-7tsTUjf5hdHpctq|gsb>r83L*RB
zQ-j9s%kZM}Y@Ix8U+Vca44yDkU{r^jcoT!t;7!NE%Se3Ay1P3ARyy~bip1m9hVt^@
z{Rz{us&H3i`tcmt!#8z;jK9Q|v#$v55iZ(9#`kV^oX&?oIGDGI!IM??9`|9%zdk2-
zz+3?Zjg9d0oR(S=H?PZf?S^Byn|aChT{rqz-wWSgrS{tkE7QC^GYa1-U4FX@KIgNi
zZX7<+D<dNTXPdKZ{Ym1zA2yQusf05Qzu`$vVH;BaGD7DIqZ@udx6r;S3@0&^DX_pj
zXI77rc(X?~2N#_0I~+yk^UILNW(!;|&-_jbPBr`^#|QI2ncyJfZO$5gx&wBSKJq{f
z&Qq;5KLCH-a`z<JfA0#!3Kd}Pl8IUpZ%gI7qy|gb-<nf_BaUbGXu#46!>T$kt%J`o
zGuW(}>Me<@d;QL_fH$@5lO}Po=UJ~W!hV#Iill$hj{UoW;Xbj7>!knK-ECA6@Xslu
zPE!A4>PlT0EYU9FNsdpzh{VA(nC9#cCbGRr7gN3`!#Z`(>dF4#7&uat55Kej!B5V&
zyS&TGh48rzTLQ@bj`-H!dk3D{Q&2|oZ)bUPRlpLP9#fHit(-L`gRq{M-bPZtN=r>U
z055xsS8s*`q?FIj!=KoHg)zd`yMNbxf}a;Kk8{H6=MtR$z)9V&)mh*#YQ{DH;ESot
zX{5d*X?yHCcl<u`yh%UFcWo@)u@QdpJ>Wc<Pq5(mf6VZMW6$pj!Y7~BiESbA88#YC
zSmt2tdOrAYwW9*rU(ZK5XN6%^qZlO%Saf{p!5(-rcEs}pOrt%(xDPHlG1+MYYfqJZ
zkbxiZi2k*LD-QVtDZusD<ZrvdJD=^}rwbS1#oHOC(%T-W4|C|YJ9@%1b$^Z;!$}4I
z(n-Eg)O^lSI69hQ$q&AKzsT4QzBP5mjO5eU+`MTI+pj-cehwB94D>$>|D;TxBKZf}
zy)3-o<D!Yv@$elEQ>k<Chm6K8vG89Z>%NQd+33oSEI2S$qaX|}40!%K9WHr$Xek^%
zXZ^(J7Q8Sa)e{TzJf9EEfyI8uXr;kdhU)kCz`B<%^5(!7iu)Zp;kS-e_wwOdn`+h(
z_%CHqLMeQ(=Aq^=?AQAE)g9PwwL0T9%vAD}x(Lpx$v^!Le$n^Ys2FZNk<>f`M_JB@
zRKPW<x0cBIi2NwMZxt*XdR_Z7Y-hMC+y?*1%PS}O2H7Is?J!eM-1;TBE{xxx8-7`w
zaDe2qGz7nYLh_&6Pp`txHG$2~VHFA6Eq~$lRx`&&VXx?Y9SpdiYq@+Be+SDs?EJkE
z?s2%u{t-48da)t^XMIeOCvje<$;V_p=JEc_v$OD<Ob;GyIA$*D`XszN_2L|PzO*r8
z6aBBgNG+MHx0EaWK0@lxYa7~G!B#y=H%Y$CvwijCc{=7OU&lCnh(SKg2~N|pXMF>6
zec>J>&-dAWYH}}OzQ=-v<oR5hn{7LZD|qx4k@pFue;?FIeEHimZ?ax;ci8t8>DO4B
z#G3<Oo-L>)<Ed|tHOYd#WaT73!y3BN6rHe5>mM^RUlI1NeciC;aQ^Z<Tq|=YU<`JQ
zwB0fdyBFNocn#NeIjoZS@-suNA8_aSE2n5Y@I1faFXue`=8FK=dN}*sj<!jdH}!4a
z7C6zf!-Di{4e~eTf(MMhtRI9W7C+Dm!KxFvu6^)C+l3|pI83;o>k%w|K%QS2-XO>D
zu^#3;Qtqk>Q}m82lJ~d!_g`sg!$K9g9_0P)i>PU$E_@`){qbXX-QF;l!*KfdeJc;)
zt5Vd)$6-N@#6Pd#-p4Yc)^Mhv;a)PoZ5uxpJHsM&Qm@E*&Ear<o?~z}!^VT;eKwa<
z@}3#o(UG=5-giBsXI>k_rf<jV$@_45k>_rb&!?QvMAmPp+69gn!p+N5W8{6hv`Bi6
z<hR%Ogp>6f-OEuANk8!gi3YNMb6aIIizV!$@SFJ{TwUWbYX?vKu2NTqGy2w~9boNv
z|1|PG&+zIfvkUy_x!4nR__E=Gg&S;GvH0KnKYM!;Qy^?Qb|{+U$8VIf2!hv^7~dJf
zxl3b=S7BiTOKn|PfGOBK4xY^3l63@j6&sRFf&()f21tJBt-#<E_^^zh@Nt;Oa=`2+
zym+6@oUA|e><KE&fnTQem6P>}ir~RZMX*o4{gfH}qb#hi7<TR9K0wx|c+*D<DquRx
z3Kz0IMa`eETm^G<IkumMi;WHxw819PA-hO^M(K~GcGyfp`qCMg@snO}H~h!0sfy(1
z-eTC?2X8#$MoZRDbS~L04Z``fOA4-VXu?kAVYo&y_nI$kw&5bzD_HLWZ-*Cb)52c)
z4vuQQ;6c{I`gL5QKf){LzugLk>;0H_EWoGd^^LB<_c_o0TZStITQA4KpKp6{QG4Qg
zc<|_07hK);`pZVR`e75}V^~q;krD&!nqYH^tXHMCr+wK1Z<7-0A^E9#e$hPe-Xurg
zQ8;7Y)F~lYqwK-$7cl4EzJI&mqX$+^KEg@66kqNm^-oM9-oyDf_j^ji+rwidzQfsf
z^7Rzqxa4t%WmvsBKSdc{vGHwOfmJOxduqa3zwi?X_(>CYi#8lfYo<Z54cEK1gcL)#
zQaH!|AIWb_dw&=n4U~DZ9`XIDOfARZe*SY5)NtC}ZS>~E&5Wk>aFEco_cn0KtbP<N
zTsu=6<NzQ2=OMKP{^u=z!Ue7^C_cRj9^}(1aD!d8%Qy4D>$F;feBn$3w=dh^=ZD67
z{b2#Rf0{es1%_h<K`>97*g1Z<(cO1B81{O2zke58+qKvm0V`8XQ|^R=sN*QE!E@`F
zPUyf29}}u?!clLJw5Y+x-0c*(@WG=a?D}wxtom3HJi_u#>%aV_9n6*Rn=z^^XT&?+
z-I=)upIF;8;0RN?eUff~GZs^X++h<jf93~pe|pgg7r2_E(efeOGa!7|2kvswl<9$M
zsU#*m;i%^?2l`=dJ+Z5o;Xzf0l402G*Z$T^ur=R0%`sT+?9MX@@Nmuzo(Xt1X=hd}
zyvK6(>=eAJn6sP&oBN&DoP(`CX9y+2GgpVMFTmT!*)C+j<LuuxS75bQ|K5@OO%%rx
z|H20Ayku^|FI=WwsJ-z2qmJ4-ll((9x((~$_6I{Px8U-Iu|x)Ve`?E84s36wKEVVB
z>F?Dph6QSA`S-);I<IPy`i{&?Zuk$gZR5#5(@DLVNFx71c-TLaf{a%%&El>O+g)B~
zS_oe`ny#Y<Gq(>!l6-bo?qma4luh<cDI7FaBVY^LZVvM!@l6J*9;e`aX&-t?e4ALO
z?iu(9?XA_@@SjD~6c;$JpZaJe?BV>z!y9&b)EIsj&WiME@r9KKw!W%^FJ`Qy1j4rs
z`k89r70$%zAozEdsC^Tx+P<yz3QUtbmV6&(O08#zgokBi79PNLuMd8RgD*XJ$I}Xr
zGfhcegCA$f`*gzZKDjWa!fbcn6+VKk&a+vh!-G%d{`SF5%b8NSaHHdxcn|D(Yx!vb
zyzxr-=olQdH@LVAW=|Dh7=dZcCN(Ny&WY~28Mx(_7f(H`;9)a64NGTC+;4(srl@ZG
zfUg<)CO(7(7ZV?Ug&)oDpXh*3Y?|8k7hb$|;>Hk6)%z=$<Zon4(Rv0C)|ZNYh6M$L
z_(tGE{u0*naP7A8##eCoi*8y{Z>gf1GzBxT>MQ()Ijdgmn}Pe&Ur%r3#`k9`|E9jf
ztEtcQ*1_y51N(o$d2L)d46uRtDf%_|SzOE@$&ZMVH>32%_ltj??qq{!So<Yt;qb#M
z=FIS|uHs-i_!-sZaxQq+oRT>!%>HI!f&+H^yZtshTsgc)b~}77LDPaCw%z?RgXCWg
z5Gxjh?^{YQ@xpBLt(SMhf-e#UN&a2&(g88};h}*5A^1Ay7a1LRPmQ43R(Oi--Jk)i
zsC<24H@qRvv&;l`aec)j0#A&%tsH|hvRQrh!Bn3po?F6)jvX)D1A8P=37mv$`=b9y
z!;z{<e;nZVw0(Od;aIf{T_-ra<KJZk*z{BDUtgHwmG?)IFW1qh7XV8R<tZw|VsAhH
zyF%(WZ_Jg0JK0{Bhr)kkUg?wZ1BaZVqG54m`XDks@79YiufiUjvO}a_jrYdNL|EXK
z?Rql)5~sjg5**taV@}3*OVM+vg!%oM1xde8)b7>QaCN;@02#09OQ7QenDxWSR}%0#
z$=fv#VRpOA`$_$Uxa!l-;QE%VBr;xl;dJc~Ea=-jrvw*!e0G{3`IOy;q+g2l&U;hv
z>!s;iswDqxX~G=*K74wZ<nO7Sd9whwG*O6Z!Eel6>%YPZBY!N_;ms7~8-Bq2CY)9J
zaDcMZyT35Ucl!4_aQQTSFSQTeKXx3MvV|Eclk@3dLD_?xC*iSYQU{sgnWxUJ?(q7G
z_N|-XVC$nxF7P}9m-A-0E5%XE7p@5{P~(OB%M1d%;0LVor}x6qrIo#9u=?stRT<b|
zL+rm|*tXzX*FiYbps{cW?l`8mC=U<soc4JEd%VpWBXOqgKi-S*DU~@21$g9`klHeQ
zy3W!_308^`OId;K8}fZg|F6|14*%fishb|j!L#ZX4ePh#_o=GpbNk^K+Tci9_~2dT
z2$FwlPrSqy_{*gWcgTF(QmZJq;fzamdQz|f+k+A@c>a8<#~%3Pj;VmXFtrIoE6L9}
zHTOgoR$o?{7J*Y(=`!Wvmi?8IqOf}@>yjEg<MYOB2dwj5yj2r^u<gigVYq%)hQkmZ
zpgP}A_Fur$Ba?^W4Xg{?0`Ns1b6GR^X9kP<Hh4>p*Lq9%(0%h>Qon;K<?a>OYt>_k
z)X$q%21df%w@<~9@j~`A<EO%Se%j<+vmO4;{o-2&9AfNrg!H%9nYdX7Yt4E1lm5|f
zez}yx?-`vcNxeD`{euB`cGUhQsej@j7(WERdG%h14`wyl`F<QWkC|H|^SS$-anmUL
zRP=i$+5V|S*0xz#KXR^}^rN8J6Sn|66{P9!gSD0R%5LJp`F^KDNEYr(WO8PQJ9bmq
zsKRO8YfVzHx!lB+1MsbzJ7Q$vo{|zz5)XCdj6MvPIR>YY_`YukPME;nqFX<Z^TjYu
z>W&565j{^Y4L_|gy<iPb*M*sr@op6y8E}O2?;i;!^Z9(r^QJSr<<MNe1bn{Q<*O(B
z`w?$3>90AbFXRsM-kJ^8hNoG#3FgAb^a~2fd~&$emTtlK81%oZ!M*8nT4k`(394<1
z@Ueqd9Odx#n19Q<@FF!g+XQUQk-u3T{vN3QZVINDr>rCWC5(4Re}ii>bH_>lZ=Q!w
z{Deg|P@U6+%`#=EXnFDbB;C^{2Jl@+CaLwXV6INwG5F-6{s>`M)oZlc5T3ica%>k&
z>wEZ!3Cxi)vUUJ|GA^^h7Je@ma7qfkxMORA3(OtHz+erh&LyAmhUI@gQ?h^q^yAb+
zVCz;%g;*GiT0D_3f5@UsH2iLIsPQViSFCzd2F%=Olbi_Oa&p#5h0inWl1hcU6-AbB
z!wkRbnX=)zuOotmFr#~(RW6*ZR~K*>-tkpJ?l$ZbVOLTL4_*82T?tPO_5JIEmwDn0
z>*4*ro_l*>zN$+LP4Kr<e4}IV4dZQ{58=^Et#l*s%Y)l$dSIpurHxClpGQ;NGuTo1
zh5TnYu;^XS7~CneEsmKF`}=KF!36BYS=Pz`zffztJ_C!K<7^Rv@6futF2VvM*^2_O
z>788qZ*b&{bebgW8*cJp1^)V=p=TfLvC~WXAAGAWl=lEUwR3om&KK)3>q9P+d>aM*
z5mtD^rDwqgu-ggB>do-4*V<LOu*NrWs%^037djeaIJbEE6+c}2JW$RE9tzUGAPlb?
zT%9-xTWha3-2+eVJIihb+hkO$OTot`3RwN%ze`>`3b1iGy}CENboG0a3ap%Uc_9?8
z`f)Es3yz$g+#UiCnflvWz-;M;oBQCV^qb*F;kmk>ANt|H6?#HuFw3Qr32)&8+-LQS
z;VtSkCnw>c;0I|Wf5Yy^>N!{;;g%2S*JRE%{Sj6)UVUf<3xz*A@CDw#^6sWRtf9zt
z_7i-bJ6FjWet6cOV->y@bl=Vn7Vi_DqTt8xdt?GBPs3tI!mqNzrmeBUHt^FEQWhNW
z8ofye>8C51xK0Re2++zo3v+NzNejR}loDry;dIZ*y{_<~gCYs%;E3-TtM2fNQ;hwW
z;iW9OBiG=gEd0e$aMi;3%W?4WSwWpRxQO<lXg0jLSY9v*Hh;EenF;eaJn%|^lX`P2
z^I^*7kwZ7(uq|Vgxv=Q-FAI6F?}sf{t6<LX=d78qeEF1lE&N+zu_6cVdM2>$F<e03
zH=G8)IXFMq1ut_maomFCJROAQ;Ng7=i^Xu!P^#%icrnB!?k@bZ>gn1~xWQk(x(L=e
zeY1ZB?iQxcBXQfiZhh<mSZ~SGxL6BMz0CZ_0&5LMayP&M&-)7biETT6w!sbl-(T{;
z|GHeXAHq_0F=9L6-j+QsO|W^-sXx2m5yt7XK6qNeQ{NsA_mlP=f_p-*1=_-vKj$9}
z!wd`j&z#}SzZ7#`!BqE^s7}LrU6OC7;Q(Eqqmgj(*a-Do*r>!(Fb2MF%JY@P{~t&9
z9naPG#{pbcBqA$cLRPkttSEaWD?~CYt2B)wt0W>s5g8d-nIW4(MMn0_Xb}xb5hcIZ
z`ThBPykF;>`?>Dte(pG@*aJ4~$bu=@YB))~^Y-j~HvD9-M&*0>Mhit^B`nT0G)DT*
z4xDkRfpvQv{ocaLbpM#!;j<rlEI+{_^6VO|Fl(HG&OB-Vr0Bp~cv`M-#}e#q)_86L
z=B_n=whCLmdc`#lYn|&%-r$Yr!IJ|9U*JdAvcFKlO*gF5e!^0RC0N#wAM-apvkc$u
zqH<h^d4l_z)?t31z^*y?{-;bCIzjyV4ad!Rzrt*G;vvlNq^f9156tzqp^+Ol<X>DT
z`%`ybk4*?}w?93a54$kxewBmYtBH#j!U}f>)m2IR1?_};@W^rTB5jh_{5PEhzqYNT
zG=kaI3S@4<KYW!R9EK0<a|(=x)5ki0+Q8nr<(XlyR99HD9qjPcb@3*=?IzDQ7x-n;
z6V4F$+_r&fH`qPb-6a%GmT}v60sgmC77+;7S@Ui3f~`-xj0MAD9c6a@F#EBBbzhh<
z)<r4^_FrL5BY8#tn86sB?V5r)IbZas&rPPnnRRb7?O}&cSLJfx4-#5mOyS3yTY3uM
zGp3*Sk@L?Amz_uj9HhwUa0p(FUj11KXFRVjHikof-_d^xKRfiXPY;&gB(tp<zM>H!
zco5#$)poiaj*Qz}E(244WX&0bORwZp$--wv9{-tu*;AT#O2AV5s;}O{Pro|&NWqhJ
zW4v>)P_fs2a=z9zJMr}kY~r%@vnYJPfJ);Roc=-e2pha|E23}>ZrnVO%>i@%mZYQ=
z!ts{*{u>?a;3SyF0Ka+Sv!4N$+w)?P6~6b^Cw~dQH?q<@?0I0GAllX6u;}?0WkT>$
z|IzD(a9rfG+nR9Sr`P?(aA)%Q>4UIez~kTK_gA;5rrZeTEDaxc0$aW7EeV2ksGgM8
z!(oxv-uc7MTc@Jh;j`6OCW>Ln;jG6kaK+)?g2(XXQ%RHk@b%5MYhU2F*@IMF@I>g7
z_IX(0#^sD&_-*<>PYPk2kHmytkpB3ZEj6j&NYh$&l3(pxO<;g~&*cVH!z?umlx%S9
zM&<5WSVHyQ5gs^DXn3(4HmLX@%m;f3xM^0xt#J{)JK?EGN|zGYBxgWR9H!Tfd-53G
z^Y%)LEbP0zZY>L@drhaT2tO*>Rg?ki1lWI+fw_NL{<;IR-yI9y3sWBNeHaUS_{&I1
z!QUiKwne~)EnNPP{Gi&*wkX*75}OI>Pc`35<px~%S)X?w9LciuB?OkLzu!j2zjLMX
zqdBZ=mVa6Y9+Es5ZwCJs{K>f=Zd^7IBG<DYf9yBWhwZO?@0WvFXRiHGgJ+7YL$|_y
zgHaod;X@%C6`0{qZ#xS}e+fI6{3&7H|Ely1;o;$YX$ts*-Ooi$n6-C@*$VC-y>;I|
zBl+QXqm;|=V)u3rGX71WR{dF+Zr?ne7QB-sY;_u*TN5cKpGRN)<B49FR<>n3sq=>x
zv3JAtg1=iyoqaU+SQG5=FXMzd+`j6>h<{w`>5ORq7A07!R?GY`%r15I5gE@Z;b%o5
z%&XnLK^op(Km0ch4z)2)*#j4RSUs2lQ#FYGApPIUb~$?=R*{@-B<<b*=<+ARR~lGP
z$-^^U{4Npjn>}H)DsayF#%<wn!Fq8i>2LnPgq<HekivF|Y)_0~$Ck^ma;DPnU2yG6
zn&l~2*gYza^r!yr&PF$QS6<0}vVEuio;0$7NALX_A^i<JbzHZCqgdFlOTZ!(FIBnW
zoD$APvVWvvDk8VT9myNm4#AZQYh0AD%K2%1E7*bRy(=}WJ=&M*0H;QJ7cb%Yk!E$7
zk~92U-TEJSzSI?#5p@QR$w@96g!$C(-@XE;b$hOn=UK(~qNYROT?@mDxv)BW>$Q9E
zr>lxn#jwFl+0|0m&G8sj9&D7cYFrM-c|V^g^~WynjXGg7ro4_Puv$c7@GCfR7d72e
zc%b$4z-PGeA%{dYJl|83@eOW?devGFTf1f$uEWkd2S1bcuAK8+lp@IQi%RW<4ZUU9
zonduO-)HTx*1qfSTwzhJgGHnsvqArDF#I)1s)y8Td{T=-;8$+zn+M<*HF}iUa2wm8
zOc(6<HT88atk~QU&<!v4gb9_xvP@~|ZLne5n}ssCQQ+=((x1uX3!OT+fblphd0yzM
zyN#_8J{)G{^b&smj?(QVyqi_vI{CciA5G<7!QU4-`kUaqH!2am@EPYct_oNor&o9w
zR^4^mwGtkuZuFgkM>$O*O5lVJ8ol>$rLOwuW4Pw}kL1trgNx;S<asFdsE@(|d^s}X
zOb$G{ax!uSW-qB8jD<%IasJ$}6Q5r$L-;P7Jh@SS6Kv-!v+X2I8zuK~JFMwM=i&li
zYmiVDfm0IW<@dw;?-bH0z{4+1?Tlcp&@h|xaHwZbkS<JdCQ;NAw&uxwtq+@=jrG3*
zm%9r7(17nQJTM4^sa$%ZNj~mR?9XVpc0l{F8XP0|;8`r(a&pO78&<o1`&1_UYU%g|
zGX4*<6vb><AYSDe$p>zXzf}Y`ym<It39dMscC-{8Zugf}fnNpQE3Sq&CciV^3kO_H
zyHW=anaBMgdB*(PBAu|3?gATm9`9|Iu=pDOyxMl0<bS%w=nca?k%FPp@K8Y<`xva2
z{ilBy{GRWY`+GQd$YfazR$aTLFb#KFit0$h1MN2=zrlX&tv7k$DuZB=pYZ1^$s_zQ
zThJB1zpzQU3@<BeZsyKTDT?c3stq3Ou;({t_f7Bxh1Na_`2Lz)&sKP7Ax?k_u3(T8
z;f8I^H@W=6`-<rds;B($<Wg_NGW?8_nq3Swe7|y)yifTNDe_JUF7v7A>4pvNN-Ai;
zosX$F$orU$hHc%t@D7=}6VGA3+HPSJxa-|oE_uJx*5cS`0aNOhEmy<oN$zZRa86ej
zR~c-vLFTOkY<TaQYX$sFR#Dy!R&PwYSp+xkS*1J;2UF09lDuT<=E5uRc71k(0ys^p
z^Ku|u{`A#7l7Hww*mVPr%N?vC@1Kq~+_`^~_<96=KD=U<`aKpd+Z-p62`@?=t-lK=
zd9JmRe7Bv4OE#>z{omXJSZQ*nTplcvTc$+vetx^dOJR!d#Wu;XVEn8_Ijl2vBA>hu
zqlj9}uY*lr9_vVeKWOCnG{Va~EZj-3eSBHROIR$ES~U*#|LC0f3fBMYF-r3Mcl<QR
z;3KZuyf@*!o8P>df}cLW^ZEvCw)FbOF#PL*8>=t8>kj{p37B@gvBd{IRmIXV0JkpY
zO`n4sddu#Se0dD@y)&?$N~UHvyh~%g+6BHes>a+0FCH*DMcyx3hD+Cy?U9UBx@8Bu
zJ$iYg6Mi|Dy#E-SlvXDD9B%3fbFhG;wDs1>=ee<CkBA{0!t^zt?7xRRJN3x>QA$o<
zAF}_(Ki*r>fX#0>2&BWUez&;E`_($u*>9P|a$N5F;m{%~tpfONW!HiL+?}z}yAn1&
zW~L?#U#k&rC;L;Un<s=5{vgDDf^3h@v6No&K3F$Xu9|GGA=}-?S-fA~>CbNR7WQ8e
zK2P39%a?vzCHv#1_@7wvzPe0U|0UVqx6Z|AO~49i{1?dnNK<ik9)gn+y!Q{n7v8UP
zlK0>DEe&V?zdyS2ZC=9LCq4(0yt(;7#^-R%P=jPU{NN(LOauJbnQn#Te_KDFs)chO
zj%1SUegFB4P!U{u)Io*h7fSvcd;|;jOV2dH=gOXOk@*21iXH~G!iq;c+wa3~oX(3s
zg<r~i+I0i|UQHWK>KePU-i5%IQo58#eR!8AbpX8K(r=n(m@QWBi66|H-cV8lf1d7J
z@qkyq(CCx=JCXa3PQhg+ZHr`oKl!3CZwqTQQAF0mE)2BkHt++7XYv*BzHR+Y=5W`C
zLCPvPCn4LD%+Kg(y<1oeOVVgmX~Byw<=P}~cAVQ?15OV;_nrKGc{R!l<zWAVfnkr~
zFEayw<l)B}&&SF3eL3KCKnz~9YV{)9w>MsUK?I&X7{pJ;Q$NkX$`7B<@cZ)r&yyhR
zNanwI*R-gU&-*DYJBtn8C|))~_7D5x`X3x{Snis14?H54cKHwH<2*W9VfO~s6e)VS
z28TLOm4AS#<Cz$~!+#1p4$i^tm;ST<0qbw!N&f-gwtMbN=JUuT{5|~(?tj?b`W0p|
zH*8viUy1w7O~XZA;!zZ0_<jrqE0Xz7!co5O>EK7Jf=9{xB0qi0Vg`6>lXUI}IHW$C
znhlohYHu5dqqYWhbHM!?1Ds?&l*GGkVLn*<;Ta_|A8WolXJH3y8{l(;%wO96_qUEX
z{3UR69+|%t8`8N|3cgU!wmb;iFz~tVh576rZtI2vr55%m!b}u}&b{#17R_)q*p}0<
zy&g`O&-tPUN9?-2kL0&FDkMa}ZwIJs$^5a){4~d-;9l>okJ{l9YKy9PczbP7M+^Ma
zmOmsB_RdXpC3#-yr_%YbF(d8GCit1e&D8?9!kT@U<Ueta8dtzxwwG4O_>#rx+*PnZ
z`<G7Azvs5g+;i}gU;F1to-s&s<_j!8aW;bV|7idC?KP4Yt1Te?4;p0KQi$XIak|(?
z(%!yq;PDQ42eTXPbC~v8T7VGj@*q2dwEweruh?FAN_w)HwBM7y_EQ0VYWR<Z<f{Yp
z@Nfs;m&>wy8sN}tOdOgp+h3F5r*KuB^{Iof;i8XQ3|!ajzGerXc^6t43!g};GjoBz
z{K+1UfZN2}c->(Q;|h@|c;~U&ix=Rd8+&wbz>L>V9`J&v8Yb?B!(6OYcl=?$|M*rs
z;dz>e%h%x<#hto7@Lif!!zkF9&p6)+UgvHvj)&8-On;w%m2U~qq``lCZIzF}DZcv2
zS#YANZJ0G2V3x5^08ekQ%QJ(=^LE!4!&|S~YLk4o<9nB<u%Po1XA?Nw_WYh^n8wqZ
z(gMDEMqr{3e&u5*XavVG73U4Y&a9@5q`$aJ_U1G2puFnTLHJMI9N!!)>7aFm^hY0*
z^lBBB&lF41hud6*;@4n{TT-7%-plC9XBr92KR&~>SsPC1rmCcakNp<WBIEt5ao8*l
zr~dhKLKk*e{xl>Be~4q+U<e;{xqDR=j(hTE2Wh{q%VVSl@3fjeOY(dn7c%wWZCoWW
zYVhuVOJ@$k0vlT-NxnTGlj|6KY9{p1epoU^<f9#|a6DyJ177g%jXn#vIazN~fislM
zZ7#q^PG86-{Ux7Xr@032jM({736Adz?70s6Ydf!#_L?%iB02D_>s$Cq`yi9UKk{JZ
z_Xe9Z;X&F%Kbl~t<~eavw;AfJe-59qGB{4QZ`F~Vbq0>Ip14M~uj@<v#4P;ThmD`K
zXD?I?Uxmf8RWo+NhK)j%G?F-<-7@_y1{bwl+ROys@3+{^1D{elmdOgge&8I)3qO2V
z`kNarx3zo944-rhkKO@4WID~n3SU&2`XC0|s~<6@frX6={AA$uLC2JhFikjhj{+PT
zs5Y^J`O5d_T3l4&wiR8;zpzOJZ@o6$Y!-BD2Hx)`%4Y<-$zC0sg`53CJS|~=3N4;D
zB%dI{a173E(Qu!D^O!>%PQV+jQg05yCI7l5T;NZE$-^V?bf0waS(v4C@i&=&&0=%e
z@B*BtvY;~n3q%g3`@-=IS}tAixdJ{9e|Sgd0jfS&p7RZ76nvv5La+l)8xwdR17G?c
zexBql*n<@l;d_2Pw_n0z7oJlk!=1Ogq)2}LTX0bUY`kxa(R29b_m<1Wa4a`dGRc3I
z6?|O@KXWpudkUv_9#5))?{w-}kvyjjzjiy!yeHsN13Zyv&)fy4*89I8`5zzZPY%LW
zPm89j;jX&XT_Z40P|;PAe{54ZHVb>C4`)=u$wNP~zrbpP!{15%w1ny3pRn-Vf6QgD
zv)av<%P@W3dI8D5{H}9>P73eSLU}vMeD?Od096K9VW)sw1w2)z{D~Vj5l{{<g1<4J
zFXM$N^;CvP-sZp8bUWdMDdXil*o&E}Uko01Gu1ADd%PUQWZ|!A4ksVN^VD%a<>2R$
zj%7Kp@{0w1RoKAcbl(Hm?i)Y58eCFxdPgRl$PnbN2gelqINpVSa1T-#!K?2*ixXh3
z2lAGdu<;hJ*D<hmnC%X0cz@3M?QyWJYlF8V{O7EPY9t&s`%e7?eCm{2L=+q&td(#Y
zzS-mO=muPQz}e|6oM+);dmS$SO~vQ}fAFzL@qzz7-Iq!7vJ+0mUhr!9;33kV*F~df
z7g#gx-+MRsN3E0kN!Yk6K8lRb?5Ub=0_Rjz%#*qmugzg2xR=c!iPQ_-4_(xSKVL9B
zN&0hgi5nv8C5|zjuQ?2_ybfC?>nWl>cw8r+x9rH6jRMS9bZb-_4h(p8Ukt7qzI5&&
zynOf1p`EZ~It{lboYeorgC7o}`1O(G6OBaqd11yaK`~_i{}AI><Al#GxZ9BZ??rp`
z2OGRi=O>LK91&o)l?lG}XtY}yzEvO7!T_7=IQfykuVZic2Wog!T1#gyyze)&J_Y<l
z-T1x`>@CLVM%JTvWJoxZ<0Xq-MfN*9?Yftl77lV!Gn<9^BsYzb<5AK)j(P_68V|ot
z0ZZrK4<YMeQVgDykmHl8W`A!dT-c&a%LZR75|btCYwptfIrG5T+oL`_fvL_eGL!np
z9@CIJutSp@tpIHLVX7w{-Wa!JBMx7Wd%_Y9_p)d%$iNEW8uk(JPW>Jo^7)z7AN_NM
zHP4Rh(}5o)NgAGli=<B9CdcE>-L$94`loL^|7=X*+^?b4&hUPP+oj}qTplb=^nm46
z|4oy>pH1fL*WR#R_5syPutJe$kq#Vvi0fqpyl150j~*<wznJF^-1E~eNd!K@!^n~W
zuUvgSBMQ^q$#KqyIah-=3cx9zoVyF*wYl%+La?;n<IoD&Z#~6xJ8bcc&$J5m3=h~s
z^5@T6{B4Ebdk)T%{+ix>-2DPh4R5|F1%G(PF+K?IPj${G<BK?l<&3~pSH_n~UUigz
z?JYdCwoQQ>zWw&k?HPDeV`K;!&%W;N%si}KQQN!)R$)GQ<rmDY&sx9%A8M8JXOhP8
zaUdj;<b^BSA2Y!B7}iGkV4Jtc>Db_XX=iH4_=1O*R9Rs0uFo6A;L7I6I4)T3P*<xw
z+^_ubA1fSwc=-4}SpGwMo)CP5=J+)^*v&`Nb0?g0>{B<%KkOcClYx^To%t>UJN-R)
zM;2DON;yL67q`&dJqV9)pi0t$8>m?*bYRMS!M*zM2S1rdmT)P1Hal5gcY1Hp)M5Cz
zeqV_>>@)T<;sk8fYjxWOreIWm<_O0={W)O^zw2t}aEHsMeH+Q~qjgQq&;|Z`s{W`O
zT=l_p*$1{M*4ana&#|yPlk|c;biRg>^>3*qx>x<-wX2S~<aiW~9x)7pzg*e4M2@$b
zn+_RaFwG8uN<TPJTY>Q!%<!*^Isgv4QtK1}2XM?hC&&9~tE-*Y;gZWHjxjJ-RLG@x
zIH7bxJpt~lnJSEft1ItCC&H&%?5UFBM*-y~Wc?dgDZ?3(pLOv{&4br|-DpmQ=Q5(~
zE8#pUA?ZX|_pD_h`M&mEOSzT~>r}nF^%T}O|5!!xl`}<SP4NByY?*T4vd(>VZSaW4
z1I;X0)nW6d4%ot%Be4M9{XTK77q&LB=*ok2Hm~e>1KR`(2(`lk;g0G9u;|dtw@&zo
z;xBPh*Dg_=pN6MQ%?(KXQ8{JJESzZCA3Oom@;u+dAcN0;V`ushOfh<Mlo93~?z>6q
zYxjpoMc}CX?fIl0N0<6g3|8{#izD?5&p$oXfGMY0%Sb(Ms_>jP%rY@;M8;>`6wYl4
zA9UkCL&pEqYB+5Lzxw)%eiUvo+<Ds#UUqsmHwAz3aeUznH+yD=euQ_6E1dU%|J!)M
z<qQ11<5adMoT6$O{ud6IQ~p~77mIo4{(^trVSHH%pS=(zy#eRvhd<ZPkHNz$X@^!(
zUp(HgG6D0I)hm#ClGUopGORQB+>+F@yt_88!XGz(#T;++@4T>)br+78_RsdDuCwQP
zFFV{E$YVh2R=gj3rD5(-7B^CVmspju8@{M`Je>;lFI;;T&EVle!>43>&5SoTSit8u
z#^;l|y%1l+8F=S5?>15or&|m=5C1yz=p^aiQKMkbRd~C7w+<altvBcz2!Gr%?6wW2
zeX8D24O1E(kQ9NJhpvd0!-ZK7TgBl$*97}oV2d+jdAs2)ol0~~@a6BUzxTkqSR!m+
z!K)(yHR`0j{G*p7pQhG8N7gUCtytmdgfo*x+D&2cKlC?V!fi9Bxy<4Ia*H>wVZ|rC
zV~%hdm!%HrZ~P;l_z9SnDeZnQ%yh|&;S_w9KCzqRUovD_d%(4tQ^Lb=gYuBFC+zWT
z;OGD>(>WpR2aE5`I{FR%%#)=>>g*$>!V9p;fwfp~xb(=9?+Q$JPT7;JpN!6(DPDr(
zmJ*r*VMY&enswM++v@El*m<XN_lDiLAJ!Q9?<%|&qaiE^JNA9^Cfj40;1((YhtQrW
zA^or1yEtYDUuxR=`Yhb{&Oh52-qEt<2-&_o)u$$x;Tv4pUS#{Y4s~!}f#=l~4N3ny
zhWB$9!5qr!;iN7pVqIDW-@j2ZMEZA3il?oE4GU$KNdJWo(s~+TO1o683$Vudagmqs
zy}!4E$^LXwnW^i5Uq`RKc823UMYayWwJ9GqTf<=yLb;=`GwUH68`xIj<k~y<vu5pO
zb9gg{L+eM_bR?34<nP(Py|4r;<_rF|hfmmj$XSFfsxQ7L{U2pW&DkuA>qk-M=Vbq6
zdL_M~htK8wb0phmS<igqKUh&NRr4~*r*5p{geA2Sr^w&q8|!6fQ8@V9zNQd3=al<>
zVK_Zn(>@&L*fOLo4+kBYRU_B8SH_!s_rMha7oua~+uN64?}KgLZ#$m|&wETzE5TZ4
zvm5Wj?TgGu)#2iEhte}(;TMZh`(Z=J$@wg}?Y7Vd9oTC<wC54bF-^&(1$UZn=O@?u
zSC)65F(mDypKl=d1C5;wnfmZkeFu|D_>+**Z&Ua?TL~+<pGk9?awK`5a#N?5u++~@
zmF94@){15qsoM;HCV8vfx^Kz-n!1fxyb~Oeo0K&LCuUWwAA@y7SJgkl47KZd9<bDw
zY{4(^Y;wbdJ6z7c_1Sm${S;NWA55)%CgdOdi}&IWFW634vX27yr_VBDbpzn&n(OgQ
zumZ)8l1s2>kO5X$;Cil+i8dHM9h#m??uU0M+npu-jqLVV=7&%2xzutEJ{H9kK<>|#
z@6X1Q_6AdmGRkn->pt~!@WH<$%<8avysJ0a-fyarMdbcH)8#fl89$SMx`W)mcU1oS
z90c<vG;))?t1zp2ILy4)b&Wi)c-5BW6$;aI3*RTtHzb4G_!8hv5j|H9!+-8unBRdD
zy*;Xq!LoU=xfL+2$&RGs@C8B6@yD>G!I;olIBdiy^bLIZ>wlWAaMiunrju}R$#UmK
z_~rROt8{zt`x4Vq><hD8_L8B6S2H@3gW-<zA<}%X_KpVuVZ`s3op|6ES>-%rz3lH}
ze>Y3P0%|w^#laHV?&{(sKazMT9<Dj-9xn^eGoO=5fwM;XUdg~Z)ulXHa2-!)n;u*f
zb?aX~tiB-gPaBr4%{xTa&(`Wm95#YyB|~M(;h(ADHx9yS4cP%t;5YlOy*UgsF4<|2
z=ZC*8?a?OrXC9%qU%+L?;z^e9xjjx7$$HpW`72!{KiyNyLY|NIH=ew70>1m$XJ8Vh
z-1uk84j!}QZYIxrAAReb^ns&(tYwks!B(2gY+i6gtMbozIJ)Pbt3Q04f_HEUp3G56
z@r5h**$c10=l#TfT!o9aXl|sy^J<qqCy^ldSV@>AC2aiVkY5;lmfu5>9-euAwfH(L
z!9q2}2%GnrTgSs&Qs=73^Y2drA-Ce-DS=x@$a>PrW2OpOa9oFv5_x{^EZ}!49j<Zi
z3M0?YB?|5Ff2Lr5N<p<ddH#OrXUNZN_*l$&dTIE`NBz`Fc=Ct+XY%~sDZ{O|98Ohv
zrmO(x(i!ZmhlTc)@a%^V>YlWzfsF(FYsvF}o%tO!?eOiyvnl#;d!~X?D@+|X_T?ZP
z@R2pD8{Tiw)kWSX#BvKab;5h{_Wyr9>Gh0tjzReN-`x~sy{Gum%?JBne)sKZ4zRms
z{m=LC-x1be7kKhqi|AWe<^n_GIr!lu*A+@RT>nvQO80@!pW-T6C;1``mr{7fWPJHG
z>M>vZ^{Ze3%|?k%_<GORPjxV5;DLd0_?3iYdox@;%}qZBf6LBwZ-s9gB|QENf7m`}
z_!_R4I5YhTHj%mbr4ROR{1ClD@=cXpqcG>zC(TQ+dR8#+IP9%|cH25UarNNy1^B_~
z_A*j`&+F?o4^LaM+kb<Z4z6YK;eFS_1L3w&_`BTH&mFLXWB>N|@MiZ`do9>GnTCG=
z=C7|V)`3|r6nT>E-@E?d_92)$NGF%HKiMruN#4(ORsN<Zg)ilqe$a#SqhjTX;PH{m
zTBJX#NY#iGSf?Xe<RENFH`tH_$L-4+Bzdz)3HMmo)8k+MEqJTEhle-(lA7vIG@PT%
z*c1TMno>2Uz~?@E6TJ*yu39;BA8uYY=|2ZcM~^H$f#td9(@(-%#J}p0_s9Q+!j?SX
zrYD1&UcwVQ)NNhit%?gr+u%!_!=<Es!meT7A-FvtXxk~+^4`js5m=&-&Eq1>SO3Li
z3VxUC^nm1>Zf;F~2XEl{_45*3Ye0K#7UoRcFG{vwCtz3KXL!Zr^%b)Hfj5_qZp8ca
z>7*`w(%<646Mq=s%H)qfuE94>TaIsq<Es7>35KV8W2MOZ`Dl?W-*C9K#A`tSw*0o?
zEy*XYRjCWZKkkI>jU@S%^KE3l!s;CkO45FZ^fN9^nCaL(%m253A$gLl$9wy5J&bJc
z?)Q-uXJ7#@-|-+=Cw`aBHJI|$6>m~c|J}MN7-o4&EkHi+z^BYFH(=|ib#t;m-_kOv
z-h`#3yz{(Z^W~&>sql#wBMnlIO08BW>+5#%yCfciWiH(mB<t%=?y~5xhT8=H>-&HH
z_*)-SI5c6p{2}W57(4TgVC!736PYk=inXN<95_KGO4i$Xl#14=!D{`{Lq+iR{3kAo
za8bNzbp>3?mXx#?-nXNbz6ze)!Z5E2|M_Lm`5Zpz_1v7~SL<}oyn-2|(%1ChNMi;Q
zvfi$a+h-RUFQkxdVE}%<c4)*BX0jRUCF|`TI`VEdhg+OZ3Qoco8*ey}&$pZ}Niz)>
zWF3wppYPtbS_`uN?x#-ej3X==72QDA%l+u`|9BV{+TL!z1rCo;i#h>Q?hJ3;4L6_4
zh#=$b)05|tgTGy0o3w++9{*TXhNX?uwvzGam9q}2!qtVpok@HC1CCN!u;K5!iDW!&
zNzMQrc+dT>U)|vD_I~?AFo#PhzYDy;8(m@yTN}OcJPQYNw^*Ej6DOiJlRDMFjcjMQ
zaAC@U)H}yD!aU$ZV{UP$iN8MZ^@MlzS;bt3Ep9s=BlFW@gvXk$!eQ@r7y82|oJ2Vz
zU^o87s1TS*K3hKwzECVB7z0bZ-8N6oAGiIQr&C~sC+mj`;G&Xjg$MApQtjMwm}UQY
zt{j;D!{bqsHy*Ka&x4}{m!)gqUlc-yC9wIBy<;V8Mai5(=Ie3TWK=Z5`&-5Ws$sSm
z+D~=x!OIQ&4RFM{8!_a3{lMZD<#YJdf74B`U{m^#!!KbTA0f^@_$2cV&H;Gn=zt%|
zU(V-s9fBR^nY+pPQg+~r{sgQjcAS#rFAsc6nu5P>NU<d6`=d$qS7zX)y1B4nc!Z**
zlgwA_8xa_vf+y|cioe559H+NTzzLG66l6UelTXI+X}C`K%sVpw(N}KfE;(P9S^4iF
z>*>-)xaY|4hl<1OFqu!uwZAur)P*M%J2+vwbSMA6@B=l5B3@YF_}yaid(zWjWFiQ+
z@P0qCX)mt-m4#%*;Y5q=H#frfOg;OhVJGE_vfJQGGloyd`lZhwlTNV1bFHI!WId7Z
zMOH^?SYV|pf~+6Xx*-=Q0l)t`w8I##446}}fQPG|Qdz>!-%`4p!2|i+No2jxl6MBv
z6?koIe1|{$F{Wei9BjBKdod7RQJxmR4F5Z@!y**!=9oF=4fodjW{1I})axYyutSzx
zSTtPW_~)G;+z|G1<Th~}i$Vx2Kwnu)*8AK$Pwy5CGn#WT-iL!{w%3Ql8fWO|$$Fnt
zIxO>{a2?+{H8S5;n?gu48n#b2rY7@oA07IaP4f4Y>Mh88-pTz;e{REn9~3B%`M$PN
zza&Y%BaJtl%t!Weq6$uc=N~YgBJ+=b^?bxX;D+B9+Us>M;O_=MXj9-EixWZpuzz*F
zJIVK?zwH@>pShJcq`^PuyUWJmF4vpili|h;Gny&V{#dNmLpbK9#>_PQ`^|Ch40t88
zRdJTo+1y{{!#={*|9yvlvMc<}fkPf@p8f$h-QH(X0{_kbyU2+7+R~r(I7xqQ;;tEF
z{&s7+UNaf*Y2h|66WC3Gsyqm$k$LfgtfvX5T-iwWM^I66E?IB$Pvf={*?+e2Myq5!
zO^@mITT!r9vG5xwSc8?TF#>L08<RQ-cb;TmCHrI0!M2aAZ`n9ll=J_3>4bLxEXW^W
zOveB9@}_bm+;4j8aXfs|;BX{a-$G}3iI(i2+2?<a$@-M#EO)m=m_nu_ovdf!nKG+S
zhxa&WDlEXeQhOQ6_RAK_hA+bNF@=s{Fiq1Bcd}mMDd$q`b@-9bblqQ=(dhN`E%=^b
zPAXY1(PzQBjcnh{fwb>5@Wa=0r{ZAWqvLn~gK1gQ)^Eao^ivD$uuk2tBfjvlr1(A_
zxPGHlxDTvicrTdbZ#i1+JxlW52FG{6H*{|~pN2iW4ttP#_c5kZhha~pzec1!x}=e8
z0<+c9J|g{%6({^W06&V>J0lKTJYBU^hIt+x<PnAIrA4S@VUCYMlY8OWX#bOvaOX_W
ztvxWOYd(t*>=p5f)fkqfk{cx7cW&>dXNGX0-HEHruyN6QU03+OO|?2SFiUXXuaofd
zr*A*V`KA4*Ns=#Y^p+{~C;an)>z6C=mN!Eqq<(DZ)!{Ula<!?8T#x?Os9}%|t1xVO
zMb0;}cN!!LVQI(TtJHA))@z<m;L^W~`Xcbrby~}MSfp^&R}k(Us4#4Sxo8-@Rbb1b
z2c+BKQJ$~aO0c%$B=-m`_fs+D6rB9mYi$w^Gu+bU3KvMZ{G5jS+C|&Q`C!3;YVa$3
zDB|}DIiEPP9Toi!3+v|{x&iN>TB2WuW5PWH$oVAePf^hy`0H4Y@LjlJ(kO<~2m3!J
z!7>)^k7wPx5%#11zDB-}R=G!hv%&12PTQ03`_%X|15TKRildBt-|j^mm*j<ol)K)O
z{HLA00sOGeJuihvFu!)0;9mHxTWA}pU(=QFR)Dn@#I}<<Td<3gHf$~G6F~ZV?=~Hw
z3(tP!>@6gDi4YGXSX;k}lH`|5Bex!g`;va;)xz`v9Rm)q^w3U*C$QOlE79YykX^G~
z1DxM>_wzY;rSfBA73|z8y8j|f?-juM3^t&D$>$3<y3uQq{M(Cm7p}n5ZVwV(z+8H3
zhp)k2lOnCna1>W!_I3ENKpl4n%o?f~776om?Kf<LPc;mWM!~LWJ!w5~%@jv!GThDG
zMnUqC>-FDLVS!<5^M1JQ+Dcgg{O7!SMHfsHo<my<>z;T`Hv|{VYkjJK|Nd4{BKb+1
zW#uZ^Sh_9p4P0~dE>9yos3}`N0&Bck-P{SkdExw+K_2(Z3lG2b!QI?1-qFG8CGP5j
z@MV{S@+|OSTMof-SXMRLnF&63ZPIHJ?rRsT;efMRBaTeN<^n-;tnej~RpYPlfg4mG
zCE+E?g55u1U9H3H;xO-v;E*MF_IHn~Ec`@S&Up=fEWbTb1{R<BtjBc;zi*!HSL0w#
zA8wbeaCLvASv+j_m%fG#W=f*WPKE#b^5#A_JSC|%cpuIke*JAb%(}N+EDPqU*197L
z&u_D+A$7IQ>N9e1ivDv(Qcr$9nXdu=mfwDc^jEt6ZcPh5lydV~HvEt)@R=E$n$x=@
z9nMt_XS0AKG*!LwV6F;*VJEo9-D@BdrmNp0aS}FF85b>p-z2>Hb^*Q<L=#T>s|<ao
z?gb~`aDP(-H&N}M35Qj`g`XyMUTb^hNH}`?=SEVW5c;~72nSSt;UnYmJF=T5!}>f2
zFP6fyb7QiZa7T%DCdr3H(S<&Q4_Rd_J%M{?@93Ao7nma~N&bjuYjOqb^z}ntHQe>m
zXl4QqWz}iRh0PS=l;6U6-|z8|{C(k;$zSlDA<hC)_x{7O=QsTLjq`d5d_Y}kc=Ki4
zpWSPYBK6b$F%nx~h8IllNS$I{hmiv=aP4Lx+t>Z&=}|s-n)Zj?YuM5=P(_5~DGQ=H
z;OV!9@5SNuyYhR-;S)hj&v(OC)Spj`!fCO-+vMPWMd_+{aB{24sxtg!=fun;Y@$(k
zNELpX%D3+mtnh0W%RxAr;bIcW-%Q<6Wej(f&8scKACo>NTEa#`vFE;%_V3@R*}(P-
z^qd<M@O@m$6L5mp`?Gcap>Db)<$VJF^KdGW7WKg6wMrLYnZJxH6tI4M@ztxaczMu)
zeefo>>nFnDZG)T6D#8o&Huf>_0o7zzQ<!>ruX+Mp(ZYAn2$uLZd?yjE={oe;60T;7
zvdV$aoz^oTdFHPQ1$nUZql+ol@OA#JQ6+HZv$+nEk8ytb_A$Jo!NzY7>+HVYTn%T9
zgc=`%872>L*1`5EMHwgHziMJDP4LBXo?b`T*K*46Ieeo=L)ab8Hm;NIfa%Q&%w6F3
z9X?mPV85j9oU^dHt@()o*y-`!q0{hw4YsNwSW?wW+zV#O>+t&s*Zg4*CwYCZxYskV
zS?%68KJep%XG_1qi;htYB>y;2nPvfgbG*RLANIPi(E1M^JYZT+@+G&Lc{ccBK8E*c
z<{+3VKlR^6c;r#l0g|Ve@-o{5w+r>gUWff3iF0g&ck$XS1j25vGxa?1;kKIzG4MD2
zmNY^5RbbnTTd+HI?xHXp);P`;53gLgJ|GF(E^+F|!3_CF{CC5A1}gKJFr$*9y(0W%
z@f>eD{OFNLnKInCG5CBQanHuP>Tu!i(g)eFc){u?O?d7`<6;pk;`Zj10lZuGvp@kH
z_Nb5d5d7fPvR66myIw(I4lDiQeOL-V&nq>zgvVZs{jP>{@7$5Mh1+}$cUHo0vhUoq
zhZ7Sld>i2c(MzYD;gP0`d3A7S#+9e8aL*3Ezb)|fT8E6Y@bS(&5>0Soirdn8IOI%H
zz$;kpkkRlZ*fFWN@Fl!2!A8;#&i5~)=!PrC)tIir{bDULov@m?^OI2cT+7RWarj@T
z(Y;&nf%m=CV{mx5^OtBiCaL$xdw9D)X8ORnN+Y3DaEy2Us}xv+y(e%5ZePDwkOixA
z^%O0^eUu7oh49W3RjZtecpj84HCYauHI|66!w(7?$7<o_zBmDC_|8;qeG~jO?z*W2
zZ1wZ4Qx{x$MB}?TJXZHfYXJV~Ai-w_Yrm989D<p;|GRJ$)(;e@?1rQIWi@T#>?Q@e
zQ8@PF*QfyaTbzJMAG}gT>ktg@U|Sa;^`N;ft0Z`9z?2%PGo6|dOM!(MF3pnuTW6lW
zE`()nnQiQWYgmRKl)z4<sWv1ZG|;kG1<(A^OL$KFZSHOZ{E|NQ^Gi5>`^cvk@V;J0
z`e$&;=1<jau!VlUZ8NNrIJmhNw#)PKtAob{-;ejhh2izD8(=!7-d*FcZg9xgN?29y
z&4wv>#~NEa$@{U^<a~!M_QdrR!LDkp`b)69@rZCKykD~_`5)}c7^j&JOQ_U(Y*51Q
z2L=BZl7D7+pLHv2IoL~|3vZZD{=f#?7IN8<e9PZRh3)Y0f31F*aI|tH9Y4G&#8Qal
z85~a+?Sfa?3u%ktijAknrQq0{m7`?*_te(A<l+6y*?f)g>ZE=Y$@AY_xk&cMNtV5D
z72$pdW6M^!M|&qT$s23t<iCQItC^4QhZ%daOef){z}NG8;j7%V*>B-Ut_lrOcSy*0
zpNAE6y&sVNcwTL7T!2N`trykcp!D)<>#(KWCewXzNS)yD20x7NFqf$bAD(YY-U9PI
zkJv!^qZu&LV}u(f3X8~i(VvRSWZ)a7H}CC)_bTnOmx2W-O11e&`;xE%OW2}u#+C`D
zx8>MiP4e|MB^<Ewbii|Gxb`766AP*PvHs@<e;Dd_;DVzab^o4)KgV8-CV2|>ZL8k!
z{P>$2GVq*WctZ%Rlu!Rr49*;rWW53VE%YhK!i&@=f8By_@Sboc`9s2t1~G74j%2k0
ze5>{fQ!0EmT8)F`Sz08HKY+~)Y2B1b`&Oy0CfM5F+f)+Xr1)9jIV`IspCt#sVKA8K
zg<m~k-$44`dYnmR0Cp_xJxuyfKcmX~29DpYa+Tz-O4DAPfG0hc`&Honu;U6}VCKK|
zyGfqCiTdq#xIjXBNEcR*+1tDf7fIZt(T4ZlWZ1R}FG;Fd9fG63sjO05!SnBegir%`
zSIS~04Sf9Sx`Yk9gHtqgGpyigdejQ;u1%HR2H&e_UJi!K+QymrV5RxZB7v|%SKby8
zSZZu5?>$)X{I>;3IN_3o;a&K~+4nj!a981aY6>j$`xJvJY43gMPXatX;o@)ro}b_|
zdH{#CJkrpCf6!ZAA^GiW1qphvLiwMrhj2&q_shmGqrKEx2CS#|tIHIgFz7LU1g}{u
zms-K0UjO`aVOu{<S{ryW<3V=`%pw^6$q}|Y)b_6sK3W*BdIDCeb2EJc(|vx!cM85a
zeJijGJ}~jk(*vH3m+Y;D-<9q?;tA8K8&Xumv`mHt-tdg<tl2X-*(WZ_AMQIw9ozty
zsT92rgr#EA`d+~DDof8p;c2BO8(QF@VEJ<qu*Ahr+5K>7e6U$8938dN-vc`Zcm0ir
zKh28xzJqT+;+af=7rbS2C*j8ddU6loF~*mxGjQYn1dbdy@4qh5kMOkb%TswU<)VY%
zSGcpA!>9y~2|S)R2P*~^XFP>zY7IXNDPw;Z8a=Is({7vA?}YErus$VqwZP?aHCV*b
zFXJV=EnxngDm;{@lQ967xeD~2g{6<ZZtQ}$H15i}00$3mXCH=ncIbbLgRO+pmM7rx
z+wwfON&EPU<&UtkX9H_K?04o_-6Gtd7j`xarr)}A>k_Qpxv{ALzN)@!h{_+oXWN^$
z=fHnElO<_kS<n6FieYJs%mr5X>g1>PJUHPMhb{-a!Oe;HG3=W6-)13LZ2s?M(qHYy
zyN)7o{-cW><?v7fhn5tqT%o*L3d^%_%<qOZDTLCRVDBeMJ&G{5-^Y$d_{L!N6;-%+
zrtN$;{2@l#UJHKScRj5WetJZAlRiA+cv5QuR@~Y9#Tb@o<i0Ql|Gu-FU=Ej`S>pHt
zhhDz!YXd8)=4j2r(^1>IZQ%v~tqBY8Ke~d)C*YO#hL&&e#~XTdF7VVLQO;#JC}C*M
z19su=*7^xA1YS}*2Vb60Ncamg3)2buz}F<kT2^3|GV?A!*!Nnt+opZ^efF3sxe7m2
z*Gkw3w{4B1y$**A=FDz^9h^jFBVY+ObxuaO&pqr;3|z8>x^6q{_?p)z0Y2Z5F#8|e
z(RZi22&Sl!-Eju4)YmAhfNwch8J&V3YQC|nfvuCB7yaOCU6Ja~;L+-7{>!kfxP3x1
z99h5bVlbRw!0h`9K6|wCK>)1EJoCB(mP*^S7z)3Be(!M~sn-Vchrn9DF47Ica_W5-
zB4IH#k<V}7zBk$r!r^lxH0qOZYUbS^x8aA?Rf5xSN&^*tG~BLf?l%u-)+o4@z#9~|
z*e$`4VyW?kFoW+``aiJ8%<g>+FxRz5Up55bdDF{S*IHPX>VXC|{3>d+rWp=Ow-aW7
z2foUGdJ0e5oAqpggN>RZd*BVMY~>vA5nisEE_hx`vPuY+K9-e3p@QRw;ZKqTT<EmW
zzlM5YplFIL93PtB&Vjn^=-)skSY`hEZ&tY6V(Z{OSV3O$AP;;~d!|YQ=HNYZi3_%<
zP_EU7X|lGRl_hm0_EZyi`Rn0i8Cc50#=rv3-27Bc4d$U$k~#*<z5L~&3JblD7;%8l
z)7ow|f;(bP*SWw+yKfyh2)EeX-|7y(sBXA@7=FOjXGq$gX0lbVhNpV}W!S+=R59U>
zaF+@D(<5*@v(2#+@XD3sCQ{E>{$b`1o7~QuB=u(v^}<1LuD|j-Qg=)?<4J^#ME9?g
z`j+k6=kLR@9cL|$!cA^Q>RIrI&1WwhhFd~8*mB@k?0vjeq%Lu}suHF?-M-Hhu2?(}
zQ3GdnuiYm3e+SQxH^DXa@7uNEy%|eaTVXutxnuyR_}T0nfjjJE?rOrm+qhT9;Ga|u
zpGki0<{`rmaP$QUVMTcPX3N4XTuEu|rwmKF|JM8gYaCU&w+GhgEavzH%Ud{q+Y8^`
z^ucuv*3-~nkb%F@C+?$A#rm~9os9Bu@GCi4F8HF+IbBh>zb$Eq7oH30Sd@g%xKLe@
zfs170nML4ct1=^5_!sN1I&nDClzUMF-ZxY^A_!N1ZF{Z_A34qyO8To&-|cP*v#1PY
z?0}z!O{iGI2OoCQ>cTXyUf55-k-p1(b#Q!{iG2~=#v0gG4SQNBF=oSx0<8s4;p2(w
z%9-#RI!&r(xb@SK$Vae7LF9BBY5&NkIu}0g$UN5#(-<TaKZ9>3+IJ4Y;%Dx>X@Kh_
zW&}s!y77n7FX7J7khvMyq%<y!<ZF+xs?Wi-W*MVxaDJDg&;l$)8Ml$-eV+XEU4-|3
zNV9$oYc^@xt-}6WBSSmjMYgf>zp&umgyDWTsY3i7RUqDPzYC!0g{3dP_(lU?(GEK@
z3O~x_=-mvvo<9{b1Pk{(5#0i-uwNXUgfHCRxS0c9Z8W7ChexFgoVLLyvW{4Mgn!;z
z)8>QcJ9l4w2kS>>C+~ni{n*<-2a5;&4itqo?lWxo1fQFII4BOkqF_4w9e(U(x+n;1
zyC{h)!Xf3h%cNfX-~i9&{diuQQ$4zyn2|-F9yVEEdw&4#2&LY;56<IP<&lLSeQ_Vd
zWE?fm>faaS;OF74Qu?sE3R{5)T%p<AX9QE+)GU#LZ<sW+xxkzEH^h;=L{Rk72{@f9
za84dBaf{INfG--ZcB;Zu+pN6YVLAUsAvKsm!|de+xaH_RI$fCY?0-Mc!dl-`HXFhC
zSFh&6;8(H#iIMu{WR>~|*yr3#pgzn*Ew|+k{4B>lSp$}MaQa<5T>4#NQ48LLx9e$e
zZC%=y{qWt?q>UNy?736UWc<daSnGVauxIqD5?q_`Lb4EU{&Qg$$<u#%(p?WT-KS&I
zh7YU+t<}Ir7Yd(|@eg~PPH%_5_imja<InqNd3M2`X&>cCepNN;#UOmHp7Q1{IQHu<
zwMm%n*Xt>=zZ=EGVrO8xT+uZNcvqCg$vIf`;IG5d@FP*9${+Ca`TLRlaBF3%?Qb~M
z|KxiC_)6owVu}O!`<^LV=Y~b*>aJ1|yIis4g?E`$_A|icU!Py#g!gfd<S@a5rcrHN
z@SU-~6%JVGbl=CV@bdn}4lX!w-+dK!IN$LbuK?V{%|=a*udq$|mw4d3!FNZ6;Xb>J
zS3>X#y|us|_z|Cx5FhNILEEhWkNPUM%E0D+&1GbN-e=kPOA_{Q^mo*RV<W%ZQ-#fn
zRkaP^kFgccm0@K~>P7PRzb_T<b`WOBemQ6X`)69m>%pp~B~n)Kh7sLQCa~6-Iek-@
z^}_Yq!*FFt?}Nke0*xo*F?e()DdZ?TW4l+`8dlon9PS7+wXMipfG>*5dAP!n!R5!!
z!atJvxIJKM#TyhsuuYbsf-`(2rK|5M991Q!Lh8B2VQu$e_r@72KUi+tcY%1gv*T02
zC74xyQ_n5pZ*?(&uzzRu+D$mYv0)|{PI-`O90xZw_8!fGmGAUPUxy_+TBtH$;mtqa
zT!Fp*GjA`3JKRL%ePFSznx2KQpt0VEGw_EaG*;!Xq~kdAX_%^Zk>W8tleOM(9Ok`S
z`k@NGa5(m}16+JO?bZ`G>Q{N973_BJGEXnudg1NCL$H>a{qxtb^@EM8TCk);mBJ7B
zzu(@&@^H}gxT$$q0W18a;l=5poHh6u>-9-dIR4p&^>uiMl-2It@ZjmUd2B(L-y#t6
zgwz)wvu)sn<?QU~NZso|*@x|LmUE*V=}&NBZXZAV;$37Y8Shz4)3hACkN++MslO|v
z+OGhgY_PK>_3!>lG}<uJtv?mJ;JDD>W4f@>v8Ihma7RwLpar~D)7W7TY?bEHVFokA
z-ei)1nYTv8IlwNR3@*a(xxma@*6{uBjpsMR1xF;$lR90@zZ81-j}JB55tzqx*76g+
zk8&r2mu=yg8qsSX;hTRJ^+@|kw&clv`0ARQBxx@pKFZJw8|DiRki5}2YfT$GrgpdL
z1Z){?JpBT$u%+Kb^3fZbHJ-rlTHkbg!0QHb_e)^e>N}TD!T3*n^mE~4#+73i;GpzO
zuZQp}w-TCjFlE<-U<y2L#ysl{b1yQRB*C#=fyyLLZ*`*}oV4#4-hLV0C{{Hb3hOKz
zob`lRXQlRf!)BXO%>3Y=Cv6=s!vD#>HYD{(n$4$=!qKCgyGZ?n>b`qN;0Jg5hcCf=
z{9Zc7aHOD3S|}`aq&=1Vo+yvpN(_XR_WI@Rf@SK~>~F!1Yi%1OU_C$2(lB_4TFvf1
zIN|fZqbaa!S;jjS_^i#Df_re6DbIloa6x`tbQ*l(oZ_i}`2DkKIjBhTSG2vjmf#z?
zr@6D>pA^yB<o8igTBs!*HkIpGB)_k-ayB=M;fV{&2g&d88|oKh`LI8gXD<2upUW9(
zD24OyhW7WsW#^+^NPggb%T;oH(Ug~J@C5$0b)e`4oG^KKu?)6pWVI#NEBOU>gEg>2
z#E$S<INFFcunOK9@1Rfy7nE>0HNv#(r;eAv*$thW>ft4qM=a!esJr6z*JgOaqg?eN
zJSB52{u#`)_vhzixbN7NW3S;Hx__DpaALD0O(!g_df-PC{8*E#eH6artZEPr%O||J
zI1HQ71^o_!SD(7PTZLWEX!T!!4_@08@f&`VA92+kP7~@ip$*3McAxF&2{`)<YsLnc
z-TRxoIqYsfA3_IT^zU~vh0i<3NRfO}KM#vO?E1xpnGvSDOrfd+56~HJBK5G)VO=Ts
zn(+3on_<Q2+Kb|FI|I`U4gBA1OaKe4-`Lwm>U7ke`Ao2XssJ|`uc4S?<3C&<bGlBg
zF~I}g?_~eLRn=kHB!8|~^ewr*&fBID&I+f?(=mRBV+Ut<v%ntTjcRA$saL6N+u*VV
zi5YUe&iPBbo*gcwzj*fz+!C;q#sjnG9(qQu_YbkB==}$4@!mb#1KY{zOYDG~tv&8{
z!72*#eZ24v=?eW9aK-2NC&F+OZG=}dJbP5dUJy1=>JzMmd$K0g#o;Z**~V3{Lr}=v
zPWZ)v`L$x0;h0UV3S2H=6-@458rJG(_rvukHusUbvB6@IA^gGUj(9$NB|qYb0n8}z
zZa5vLt<he$gEbsEkCFSO)xmO0N4WjSi$YSrKBA-K3Lot79Z7{L9cyCT;WkQ92{PUn
z?vS-e_=u?&4QcPeMV);U_IB<pi-9vmx172M)83$Gh=8B6MzY4kKJ>?{ufkjRZC*--
zIsX0q5D0G`q}3()qf900XW<{LL1JmJTd|(UX;|Lg-!}<n{O?bj4cu5Ze=Hro?h^aU
z3bu;6U`gtCXp$+&{b`Z!m?EjCG3}8g_op^5Y~QBB9oiA2a<H*pQ}aVu^a~#?x!*0@
zbEuxw<q~(YaKXuka??ni|4*$7xu5>AtNi-|c!!63A`Se+k*+TX_V-(Bp@a>7aR_C?
zt-6nP{J{PAAC(id`EWd?>Y;h~Wsuhq(jTALT;2qHZn9RX06rPxJ1_=k79HC|>dbmq
zrkdc}4-?r*{hj;f&E)yO#C~@NGX8{H>BV@suKS(_8Q;}eGc68w3VIfo0mrh={<#W&
z{hUyGAD;Ye-hCZz?00{32mZ{bJ$4$V>(Obu1)DqP7oUX}{bZX%;r%;r*I2@<bZl<}
z;f}8PC~H{E*<IETE@KJ#tOsk*7@K&)0b=8g2VtMM_21{=bF#u`G~t!!A2?3ISKBUY
z=)k-UiH+oVI=}VlcU71vBygM@Z(Udir3O=<E*&}w7nO{?-U+ufCI31MTZjs0iNkMx
z?9erak7?&nkmpIwHq0mWU{k5j{XDSG_czwcutMC?xj8(~5_2B**#oB+-)Z;?pX}Vn
zEe<nA`}lOgBDV5tyI}7k^~^R{IR2ZFB&^R-x?V-vw>SS(gO3YsxK;v(7~W4I->=7i
zly~RChZZSkUEmL1Aqokwk89`clkmS^%^#y+7K2cWi}1~(+f>8hqlJh5orCY`T7M3L
z+xa^)ufzZ2=+5J*_}(~xlO<)%nw^9egph2Joh;e1ltN@zB*|6?l_*N~@GWaaQMQDn
z6p1W}A{4Sk)=++*^ZWDtdY+kk@60)KXU@!d=JGxb@AGiOT->1uI5aDg?=(DG{-T4l
z$A0DEcPC->;Pb(xzr5MAEAS}%cblp`X>SesRrhS*Ef$Nkq`m)_MrnQ+HXJ_t?h#C#
z!d++xS8v$uN7_^O5l3rH_};O~zE*h5W>iKVrhdk}w;g6QO^G1mxpbFbviHCXlT5`*
z@RSa}XD_@_q?Up#&r#53Gzfbikd`3h!I7PN?hnJxPy0jk;O4i(QRA?|VZ#D#xXE6(
ze-hrYae2iE-Zi>fI|oN@J0V8CU&Rk6u0>dLEB$$MSelai&l<e7)cZeE*u?F!={o#u
zjBCLf?&VUJr47gTp$ZVPg5!S{U7>?7o)_@7hsAe0dN9LUtbrMJu)oWvms{YZHv+$$
zU@qmjdt2f6-_G(lz!cv$uJORjU0Xff;9T9>ufp(sZ}&Sc@FvrmSTQ(K{E<=syxtVx
zEeT(dUU5DPhe@n8?t#_jQ_6$k(~9MJ3h<NQ!J$Ang+_f{5thCfCKnEe-dp{40A`7K
zc{~iZ=!;Q22-`N>KaPfT%-2^<-~iX2jU+!mcxRCXtaf*EQ3C8=Z)fTT@BEr2aTQ*a
zS<Ul+FVxG2l6Y&Oh|xv3qqAV0w7>XEE%(CVTfIt$N!&wT(e(zbF?u#H78ac!txbTh
z@>Bh}1!paqMr6VKI+7;wuvx~&z8rYsK}8m6?`G3pnI*9E?8ikie!m*Ld+`Ze9Al@K
z3O{0;2yTTNA{^&Qf2g`x*4YO0N{(og<uy4SpM8P_HTqAJ&)X=PWZwn<&9xIG--q?)
zi10A1oTBL;1=GcIz551RdcG71g@2o@crU;MPonSn!_>8+TywDJhE3*PaQ&bOjZ6fd
zzw*!TB<(43Q0drSI3t~3jP##xv8F;AFt2W25NSVlXAhp&gr8(`zbEZS!^=|nFl_6b
zxQ+C$vns}k=J2km4QEMvIrnOKpDXNthi{&=N5?-u;@x2h^%!juFM9gR>^z)wv@eyk
zKmCu(g%@Byd96v({u=t$y<*@k-q9N5^Vq*JzrG4H223T8_O_2QG4CeK*Betq^3{Cu
z))V3IZBtC1u=s0<d-?Dm|GYR7?@2LOD};pxHh%Mfm9Og8R=_r%yz*py>Du00)o>I|
zV3app8}8oQ1g|^_?sJ7ho7KZ#!(np5S5Lq`S1X;~!$s4XWyfF!jd=QISox!-lO?R1
zL^ah;@^{r<H-nj*i&aRz;~L$B2K-EsU!W7_-w?rZ0FFJE%R%DXDt&~-;49(ka^&+)
zUjDtf1J?F1Xm|wo>xsVY!u=@fbE|`S@SDx4nLY4Y+^_m;a4>bw`?GLsrqF*0@TWif
zm(RdnnL7<{z??BHxo+^hmX*XE_!_Tcy9;bj?-oq*(+@^VS;2=+Xrz(#72NnmWdj?u
zotTJ%sXLh+^k6Z0mCYC7vkATmhH#R~r451bhGd?D<bE&j9!FtcIJf*97rCFkv{=jS
z0r!}5i15MN19BBl!Y?}Amj&SCOfBCWVCp-+bIJYacA?UBTR7>CW-z&5U6bpQMcUiH
zb4L`G@q9tTE6Z8~xa@5f{VH6xX}O%VPenCRt|3_I>14MGZ1Vfm<aanQ;FP!`JYngq
zPo8(6*?U|^2EKD4N8l4YpD~go0XMCr29f6{-l?_EalwYC_N}(UjQT!WY;ejOF>CU?
zg|M-k69b7)9G0wy`ybcPZ-za?-}I5^GaU6Rc2U9KMW;)uVK&Y!9TafEn#1u@m{y(P
z_aF4fF~LZ=XK=p1Tj~;Qtgtvlp8wFII^OdWR-%`>PV%n`He4KqWy~^^i(sXQn!BXG
z4^fq}Jc2#w#Ps^%h^s=i_u<TcLZ`^_W4&7DRz6%Yd7YUYKTN_i4rakrY!OCp;5xt3
zNs|A3baCMoT<p%5MxICM<C<lE0q5=#K27oiE!}FWVSR@ffn<{Z>*(r3_=(TuCX&C%
z_T|4KnCjEdbGPB`p<OTU!TzE{h9qBw-o}F*A0t|{R^nj>I`gY(a8s({hXi>2Z?9|$
zoOCHA<SKmjde>ocynXZ`#_T$*KIyO$4<B3{rML{c-!wWBMDiIj!$|z5#qj!hc--QT
zB#DoUwX2fj{lluVPh@=$+q_0x;nuy3QQ<J#k&`rz@a)6ywj{s6jposDc*sS0QwZD^
zzSd$551wG^4}<0ZW&2yf|JgXj2Eby4DYwY~Pf&-9!v)wXPE*wg=4QCe><hEKS3ar(
zzoRkveio*c+VMvoc51qiuLNuV-m{hbAF7V+4^f3D3?I4ef*;$oeU^Zmgeqf1;K=bS
zkM<D1@7_)Re=9T#Pcgw$lrI^`|8L6ld;&e3QFZO90Q}QhMS}|773G^G3g5|&^rV1S
zi<A$L_1$-C;aSG>QcFw%Lge!VO<8po;Hm79CUJPm-*$cyKAQfjKnj*$$q*ce&qiCV
z?u3O*rGh`hjEx&=_Q6{;ia&P1YwX9$rQyW!n6FiEV(*S*65r+WhOPo0Tl%d|e*cv$
z=JH~g!LmwN1zxE%93s!R-5Q8^w;yIUyLICpY|yDwqz+qeYON;E&uwgBworq2taG}j
zz=y3{<+NdA3*+15c|5(Eq^}3zj=VdXaj@i|=?i_hH?_t48thQI^^`8meu$Gl0v_^i
z)is9ye9_Y*&kI^Ux;<kE|C~rzB+nC`r_^mXgP-s;2$Sazr5-U}Foi9n8QaM7jLXSY
zwnyL%7Rsw`@Z6J&RF<%vKvV&FUeZH;=XX2!SIpy1d-&n==~x?hv1BcrJdfGgo#1r>
zK36IF$Q-UL6sRTn#ca<vYr;GO)ptqzq<T9nuMS%$d^<>%_i|_WB>=OIoDm_*JB`cn
z@WB}-MXyQwd|PVOv4ZDOzr2*rI|f_*3;VYOoB7J5llD5PzMcIw9Q>=QS`XfyF+bJ>
zk8Hods0DwZ57e%JcRrz&RE1qWYw}dXDuokWO7Q08h^8m7>bvs`d*NPfgN&!}i9)3r
z3HYxORen0G&YIgs;sp}w9Vsy7!Asjnd;cR<wdV@l*U58m2YgR9h&mQt^!uYi+H+LT
zPG&!t&CQyh#EmIEl}^LAvy5Mp_WbYr{jpPUt7Jhg`MlDiA8gL>^^ch*q&+WB3cfrF
z|5%#eBLin1J~m|opP?PRMDlt2+x7L~Tpejg^8F%zG5YJkk2SfEk@(q~sxV3Tituq&
z5_iA4SV*2vKYG$4p7e(vXV;B9@SbCdKBPS-4&=yk!P^|-wvv3+kA2^m;KpRi&!qjf
z-_YB)34Ry*=MrhZoxj3=P{7&El8&VPK9+mR@(<77ix+brBk>1TPP{+hiECP_Brbg9
zw$2cowCBJGY2UR>ALhyP`j789zb5Tl{^37C^1Q!vs2BesxMif_%m6GU@Gs*OTvTHx
zK%V~>FrCzKh7D>{Tbkh-vF#iE;Fltu+sJ%{RXygC)9{O%?CmwM>nG700dT=i$+aq&
z?G(#?e|XP=SK$-*$MtR8!LY>c$gX0zL2HDK#3K^4zmfS$Vc!=z!eJ>IZv`@6j4tn6
z@I{zfvG_Zge^jkL#CIDO*6ea7^OLI1y=f%Jd%oGN?B`*FKb4oWU>ZdccVD<&FkLDW
zwlZ_w>JIlX`nHnuX-+<e6bG0x-#DNIj(?o5YXj4mDjg|@^8&Jbt>A_uoD@&t9QQFH
zW7s13??5&DqxGwyAsoTDecub1>;0_^GXLm%)9hk1yg|%w&ImrcP0*N}ughABYm@c)
zOO7*sfd}3%q>}kb!-*Epzrmefj;N9Eb7Zed`Y0Unai5z#al^Se@_)`(KT_oa^DfwT
z%)t8lUjA@`pS1R0T7b)kc(0s=3z*+Itic!G&6b{l4Q!Yz|G{R_=`>`16+g$1^W^+v
z->9-3$(PcUX=8#%I)@(w!w=`ieMI1+6Y`QI&JdygMigE|;T;lxQ6-*7&UXx1lM4dj
z!pE2XNx_*8N~>gkP)v|pzdY>mXHGN>rs;hnPtKpbVr~VH`9bswB^(FfCt3PAWPVVo
zt;q{=zLh3aXiC;U9<XqXoUcXyE^qUL8(89LP2lb+o-hwswaI<N629*6s({Q-T5qL_
zC)W?Bs>H2Nz_S8<-sJo*umxKk&Pep*vW7p0%gT`Xm5jkUOZKqt-cNRB@X|2b>=C%#
zmh#ko*wN!_8;PHPbN{9SJfF?6jjZqRUXN)}SX#S>lALd98!>T{`BlHlGkzJuTPM7f
z$b41)fLUg3c*UTenapRUZ}PX>50}J51d#c-;VB%->ae_@d=8oa|2O`4kQiK^GbBjn
zJM-}k*-FBqb?FACu(4H@i6G1>eCdP$ocL7d^j5g6uufhW?r>kOC+C;G0k#P&@Hy5~
z**vfpJ%0@&JSA&#lLkI=wBqYa)MLnvzkizSe;S%gbaim6zLN)u8||=S%Y(ahN(@MR
zDpo*^)Uz0U5|h3W{%KH@O6px$)h&MggZ8A}&8nROKWZJ1T7uIUt>$jPKEBy`q<yZX
zMKqE8kkJ&=X;_A>@!U0dn;UHcY41nt*@SPxHuW^h{cwq!*#}a8L+5U_-6#0M6~B8V
ze<W-$pY*59?HTlr@bF;vTXMeXfA#6Nldw|qq!;Or7Ly4nns5u{)3`F2Ht#=g9hm9R
zj=e=NWyKkBQMi4^l9lv-Mnz|{ZE(*M>JzzeOxV%NWz=KQb<_|b%UjiJGS9)PiGu#m
zVD^M94y&-b*4UwW_`k5}p+Q*gMgM<`a2wAPxp7#7hee1L+sl);W1t^C?ZX<tPPXs6
zn=+%YQ6QfcFU;>`dh|OyDkt)gAMQBJ_-GRDYLkrJ4(EHk>G=s8cRP=f_8|PXSdbpy
zmp<_P8#%bf!_j~aR;jx#u#dQrJDml-bl}MsE%=F?@9bvS->r48F8r)kOp^_kRGgW$
zfW=LHk{RLeT5S5H{qJB99_N6svK|;A*ISRLXWU3!HPl1Z8~)akSxw^4YtQrf!vUc(
zBdl<g@t1ex`mKfT$`uh<D08xaT;Ih?aFz+dYV{(N5pYRQEzM52B1i7q71$+2Pg)Fi
zl{mdG7FKbaxg-Tw-@U|1uE$5?&OX=;=ebig-hqAP>P%E%x=F5knIykO?ZSTe)1Kbq
z2k=Dg=93;UgAT8E6`VaeQ{fEDpMT9+0gE-6ojL}e${SpG0aG>B-?WAAeN@yX`D&Lh
zPwT_W0!Cu>aMGT+t-5gHYHq-DI7IiEzXHtVTxQh(TixB3wHN;S%wfF_{<0_1n0(&}
z%?m+a;0LZ;%cNdUOuXRsUYIW;IF}0+Kh8Te3X7%h#mpyCUo2?<IK1f8a)<}!{p{8K
z56)nF*-YZ$-@7F#BXRxm*NUIS_qdf6@WChK++Q=nAzm70Jg`yJ=d-kMX@wxm4!9-L
z^eqMKRa{UZ3NIh64<PM3#yaTSUbyL_M9XjZtIgtjdHCI8B|mB3`S1E4sK99#e(I9^
zC|P^z1F&HK*%Y$As6$dO55YGB-b}3^{yV9R+XViP-t+(!;)3ew%a*XNu%8>rFNiJ8
zvxVPqUSuG@M^iI1$^rJs%upcT-&K20zZ2ZGE*!&2e4VGp9d@TvenQ%-T7CJu^Kh86
zdYU$T-XS+83a<9G`*i@`a`4c%7?`@{le!*!TxWMk22A5V{DQ<^&xVMm!4<0RUi;vl
zY)|SOxZBY6jvPE!{o=u0cp~_hwghZXQ*bR8p58g(L)xp-DVyPZ_{&endKvh;jAZsR
zIJ3)$gXD+RTIbim@iz-Mk?)tKs2lwX)_QVh??G6jl6K%VoE*C8vH_gduu$_JmJ#~>
zh_tWS!b*-dcwo09g()1WQ!w8RA2HV1Wdz6FI&<hVY>`qHWC`omJM8`j7pmO4Zw7Oo
zlZqIE=U-DSk@mc_SJ3e%yknwI$Qq6`nW>zBUzF+io`7RB2a|upA8h#3Nq_h%R6a8g
zKXi<mBK?Jivf#rioEl@z<plGLhl~G%tJ-Q^N&m99^QWb`jPr|t>j|!~N|Cw!MtJn!
z@8Q#M(nB3pCit@0b4G8tiH2#46&BnOQ4$J^aZtB#!@+4fy+QCr{wWbY_`$Ed-I4HQ
z&F}^hcwo~h%S-UKwR?^du%F~$Y7Xp~{h!8OSRgI=)m`|2Vp@tk{KR^mBOi|SPCc&z
zi|OVaxDRW3Cbg--W15sVAHs2alZv%r@zUa|LRdOEX`>#@{%a#cDeO0sG-3?%4m_4G
zfhnJ-sU3#*+R{Z=z~A~4t32W1;46}3ePWmIvHHM8oBBeZ!kdlkci)9yX*|v*^`GK2
z!XvWblqV~{N&TnF9}XJDu#nDgZSwz0T@#z~815KRyz>Ay-xYkm0=5Wz^#6KM4{ij>
zyn>@f)~z}a7Y_AjX@;ksdtPjV`#zMozK0*MKWy)Tsf>$sJK<&zj@2&sX`#e&4}4?v
zX2u9S(<%CF1g@a7nE3`b*?BYlgai2FHGaYi*W9Om!PSdD-AVqE8Exh~d~(u`aS1-L
z`27=q6xtWx4jK}#&eoC^f(uJ*tfpa4&M7y2So+m}MqlAKiN{_V!t92vnLprnbq3jH
zFzvqOH$$+}{n|ekaMPL)_XPY(E~VTN=5lfMAo&by>@3c(on74XDY)bC!HwxK|3)5~
zPq55T$MH<~`3D870r-S-soH&*@x{KdFR+D;;7AVqj+#%Z6Bfwr_^$-EDdD)-3WpVV
zu04VK4ED5>`d67dngUv3JJE%+&G26uueLVWw{6pFvi(IA+2i_Q_w_C=vb^GQ?Z`K{
z?enNBSzb+p(s2zot~O&J%fC)A+_VB;7tpSL2}=suuS-W`{LC?wlI-t)h2qwGVd}^T
zGg9x%^rY3iF8qKyqooLzFxqKk0B71}@{>4S<da-an9rbdjI{5M^@;1=aLu(3`yauB
z`v0Xx!0+^Kl#+P*kL&Z7;e~=|Y7*DFlXxQ)K4c&kO5#6mME^{OSKe`dAniHi>yDEZ
zaIrSi8Pea5mF%dgf>pcM>Pdewe&c(g2_Cfk#!8mI8ywj24z}lLaU#o)3JW}Ghu1Rp
z#gcp@wVm{x@K~Dg*C(*^^D|9@@C&uc|Mwq_>ImWQaI8ni|N9T!Epdto_|;|EJd$5-
zX!Yb5EK<0p*8uzM`Fmp#_LH|dQwQshagQ&<)ROyOHo<JeE_t*u7|-n*U?uskp;sw3
z!3nFiPGo;%nsWthhtt{ysLAqdO*)-o@I~5cOR~I4PSi~~_}E^#T(Z9u|2!X8fLHG@
zEWLw!!;ZdHh4(BS6eRh%4@FKZ!?HOZt+lZ5`xnLsVdLz(i_hUKo|QZ;_`!(3ZX+D|
z_I8vZ?Co;jhpc~RXxD%d%sU=fN7nE6{LBjr_|o{ju{W@0&r_}=u>XUA{iMH7-Zxu3
z249rSba)Ss??^K_0ar=-JR$v^ZmEO88$MBAyn*Bg9u;vp4ey%?F(=1|k)yR*0r2|`
z$w4Il+D^92KzP9CWDDu9495)YqTvj&SU!?3&Tzl%3as|h(u*7~WDlq(-hdrkoNkl+
z%a(U16JSO4-6KEX4ld>96nOch9MdrDcsp}@I!qn1Vm|?&JJdB;0Ml7h6qEdr2M3fN
zz&A1*)=B?fDDYdZgiobanvB7Iliv?Nhn-n2WX-_Vk)hHJaQr9lCX&xBHGicMuDmMA
zy$Fk0#<{k@K_B@w=3rf?NZxjMX2YE!DqIgeyd}Ky3BF!^X)`6v_9xrC7yhKEVz&u4
zJLmsv8a{ga`$r1cGHdGgBy6NB8NQ75*$PLTor4uMHWx0y`p;K*X5rVS<~HQ}<WceV
z{Db*9XbMJQr(5x%Yw)H76KisOdTGmZjOq&RM<3mOksP1=kH%3^!s`k?d&u$Wu2f1L
z6C9q-5=M?M(qfxWF~IiUk4n9UDP*r|v%zP=c3P44oshaR!2%C&KSxsyv%fkOEecmg
zzY8Y)CnoQsqzG(K$SpzoW6$OCacOw--sB+i|6_by@TL^J@N#TdI$8eCl938L{=n`+
z5}f98bbdc9Rrqjc9Q<a);LuU{nlR@~7;GC%nQ{cy`0u5$5A2_B6JQVf{dPU)2~ULk
zx|4W)kz1rWyw$8;kHp_pF+VVcU(<b8CUKwRj8)|Pj6Y~64~ZX?Djk%A*%@}&nvvy=
z4ja?MJ1Bky8Nx!+xnfMP=Dqh#I<VF!t;>ILKI&gZnP&t$vj2WS&QCXvJimSb9)Hr%
z)C3Qd+$mOs-MLt@o8cebV$EFeErouCBQUS!&H@3r{b80psh4VDzI&V%c5VOmZWqjT
zQLu>{ju*fGTO2Ou`&&)oDqBuaFvICnqbVf5D7JkEsYhEC8lz6u&m!dbi3;BN(_4V7
zpS4?LodR~7U~1%r6D1rUEu)_8sb4cW+u)&a;qC>v$?=B15ZtD4;_?(+qu!o*5RQH{
zZ8!j*kyTsPg3TWkrjNpF>OV`#_DXxaHZcg7vK?czgxkM9RT+m{_sUM#5f@mWB>BHR
z3$@7hW?^S}`U`%`dvTjH%<k~$%Ow0xC#cH}KC`|x^e;U9&%E?BTwn9}{tDbN)6L)q
zcg>z$+<@Pck`Uc=5f-4ls!j5pw`T-hhI81)M;H;m853X=3xBupXQGFHKHOLu2UBQ@
z9A|^8vW9NlhWFDHMzO$-_ZYQOVeul$9m244)`W02oZcU9A^>mF7wNhWkEV6aNWn_R
z)TIyLIQ7F@CE)oqJ(tI@G{@aa71*RuLaPF%+s!dZ>hso1c4kz;A}f_L2Vq5SJC1JH
zs?y^FsrMUGR8ZXk8}DomCF_61ADPk%=deoW?uOTC6z9Ic!wDZ2Nj+d^-pNPfu+Va>
zHp#F0o=Z0cU&!5=MAp|EeQ{(CcG?zRL-O%9!PI3qO0V3W)cYL>`x>wgUzOh+r2(_H
z?7d8T72{Wz+XHOj(2Li4cfc3QBveR!UwR2Ax!o|=>zY{7UTu0Bige&6-<vy0ec*pK
zc{KWPZUX-WQty{tCS=$I?)apaZ49r--ML~!{HDf~)E|!YYNv366B-UpDZvAN!?`YS
zp?YJwEX=}s+VLzrd2nT%Y~N1iFgjoOxa8T??eO)R(#LMWHe>b2IN=H|d8!1s%}1S)
z38pIj$NCc9b9TD`X+Jve=PGL9=!$~(vvAWh<+JZ$wb@AC|F^#;NuFl-PY!+aFya*q
zZe2Yv<$=Df{qSW@>!5B}*xsp$)R!(3=4GFNlNG2{-@{uu+_(LPugIQ|8iD1gsVV-z
z#hwb5WPM(Wx@CXiH}AJDl6ulvd%oYKzJ}j-{wE*#K7L~KleF;1>(*X>;LAn%ZyDjS
z%I&vEJ?cC&%1~C=`oTZBjre_U2D0tA;gkA}cGPf>#6}hY_}}5wHFlWtW#QCzc=foQ
z2rF#WIHW5M-)d^`<AF`bqC}<Oz#|t^Nqy>qe9B%~c>nAnWm2CyyCc7RKfH04%8}Hk
zF1#_ZMFp1F=K4euF6G$&ULQVP_I8~dpHfQ0#Sg*EY`aaRVTqvkLpE@KQ*Z`3o_!w+
zjX47AUgbC11`8_M2z!$F70P;U_=5<|8#lP4>E7urFwaE#z0>dy6ZJb}e{R#)Gw_B_
zOb+YN!fge8;{LD;dx#e~-pO2udhZK6FbVUoVtZ+w<tPdy`Jc))$?=Z5yw)@T?vpw?
zM~*+23=E_~;qK%aZgRZ4yFS+u1h*O8e)}E1E^*;;IQ+(1e1;s~m@Pz(T!hs<TJC;^
zPxIWDi-zU6j=t`Ot;>vhBVoyC%5$x-EPHeLHCVJWF1;DPB;<GO3VbJ9?ob2#nR`;{
z27EKV*0&B$OiuiE9ge7S-c|v7?WTKi3%;m7t@jj8<|}qefT!ATEkA%4^aM3h;8{vu
z!9qCULE}gg+%sC=nhjs@m3fr`k5*_eWWv|<KDnjAT5FT{l3<#AHQgN8(c8N@5ssZ1
zp1cbyGIIu9gHwO%yvv0hw%yK-fz$6z_}qgZ3#lHy2y5&!Fe-w_J1YZ1;Fl+-f9I39
zw4=B`+|icx@EL6FX@1rR9$nNhFN2fh|B9S~ZQE{3SHpBQXADll^R5cr6>!}!?}{Bf
zz9!)P9!_R)^)iR`*{j%^;r23ienWV-9_4I1oRt-#sRs*vOiTIzo8;`8I{=6I+e>|i
z&##%g?1Sw?=Q;-Af*>l+J@88gsmEjRYV!#d30OPkrPT<Wna?sw>fdWBAD>=<&q;F~
z=Y_lFrxTaqtgCOC*kBW0J!9Hf+^@duX2%G>XX>1zf{l&%>1klj`>So6;dD7SnGNtE
z`sj0XaET57AgRxPT)EJk8I~P#*|-E>zGkXL;+==XIs4%?2X|o-FHCDz>4UFEEx%@f
ztvJIb$@>HLu<o@NhQ+SwA1Ch@5PnuoB?y~FtTU1K8TgMjeG`T0WmV;CVQb31-6TJL
zSHZ1E@TA!w-3~bQ>W``-c&N$!5y_vvn&$o=>|Ew~O#(g`+jS!g7Ry+W-UYAzyr!NE
z7gSG=?}Pp8mSPiNTF*84z3{esE|ZsFKharMCD`&x3M+X(gZ-meDiWvZs1bI7i<!=U
z+YkR2IHT(X-)wn!P8znRd`){0Hn+WQPS)=n_($RZ9MJYCQx-Ombc`kMm*@<Q4kF7J
zTitrH8=lG8DopZo%k&&YV84mUzpAi9*!dVC*gZVtKV`T~Nm6ku>|w`yOdpoM7a7S4
zN4qNKYr%sDXND=^J7MdQhH%mB*3Ij9|AnGY+%A$&)!16O2vfdjt2+kYaN8#_4Od9o
zy4b;os($tTfT_ga3%bF3&x-B%2J7E2Z*+l;Wxsv;1fTp-8G06edzgOvM_5-+b-ORD
z9`d^5Ej+_HK@kWGEPeX(8t$C*$~^~<g(ViefSo?RI35ZA)P1y20k34M(S*Y+Y99AX
z;C$h2X-V*hFTq^-@V}aZg=9GV+4EB*-g9d7Q7&8}@wBuM79IBAQ~<~9{Y_O0H=QuN
zTLT|odh1W(n)AUHFX5xH%AD2k?&~}<Z^`naqAKL`=gdR9U&Dp3rY4HvU+*8qcfy~W
zEB2A)3*(sOKf+2q;iK7bgHO(u&oGb9NyfWy>3<u_yWzHCshTACscHV93HVAvy;K|=
zNJI5|46YB1>%R;SComQ*!qTM*yDq{t8qTKkaQjA@Uh;mFbcr7ltMGTGu66Q$lsaRT
zkIQgZ-G9ZNFkNT)qjfmK?MxSW-%6kxlf_@S;k^1~2RP-}K;zcyIKQH|;Un*Bp<R{q
z;DrC>?QSuGJAS3=^21m3#%B%S&}QQtLHK$a=RtG$=+&G1<lybkluAjws>V1$0bUSw
zq9SoOykN!<-XrCFmc)Iw8HXFeja64(nZX<BpW0i%U80iXCUC}TSfv&0^~*$wyf3Ew
z^yuwl@Xx;K<CgH?>t{2^;m9H8l4EdClfZiy_>^g3mo2Ok`CHr#rnvQ1)Co3bwWB@_
z8%G>BJOSU)V5~X|-)T>oI1TUUI-e8-3(D@=;tfC5J2D#rx2R}4oP#S|8{S94l>+Ti
ze(<P9?v7~K#$~)a2)3MNrHO-c-=0}J4`*8sS0%u|1hdkwz+s!s@1(%4^TIEqU@vZI
zqfEHX-q7(5{Io4+=Y81c-ka!KuxwdUWFE|`+WRRTZZ-~5eF|qCeZ7t3({4GJTn;Y@
zcl(m|G&X+Za3gGW>Pbxs{N<X>gEz35O)X;%T*ve-rWF>|5#LMl`{{brI^fwEl@8K=
z=Mo(qTj2k;e|q=?=2~^DA^G!v2me;VbUz1Ey5J2}IwGX~XZWm|^uhsqts9!)&yMFL
z2I2S<<ztN`9{ogh43^vRwuiiLXC&nD;sPAlbx!0n9LqEHU<KBgxzO+ve*T|Z+Z^mU
zE1o$Cr&H!fEyGd{yVd@};qKB->#+NQU?=i^p1K8#7nE`MzP&-E8*u#U8~>V02MZ`Q
z^^oHi<rmt;&G0tX*E{GCe>}@oycOQ<Z01MuTkCZ<^THW!Mh%<c#-qJ=_rSlGH|+iY
z`Xbp@W#AC*m2eU-Ka%`O5q5bjmA?_L`q3q;3>PtNUuK3MXxT9zggeA7_!;47?!iVK
zxI15|h98b^vif-dK3T$$Opeda{Ha<b|MUF%=nmLvR7_YOp7|odC<dQRb$E3O?jPCD
zNB(ch-_y|B!b)b#?RVe;``UVYvi!4_Gx_l8oJ~KDz!{_Yhsgh%??PkRQP?ayc(NMa
z(QYtg46iLq<<!G}CvsH}!@A?#zu&@}{|=upfNLp!wY0!*uN`=P2)<&{%SYbF6R&W7
zKpP&~_;BeHys$$$iR4E<jJPufhc?u%%foHiQ{v?PJdfnK?8x>C;_eF||NmaK>Y-$N
z4(k19wgv~@yYqQ3%p!0zhZ^S#yD7d2ioq*~xve+D?*{e;?SR>D)8(_mhS#osXM<a<
z)D+42$@a;f1Dvq@R_PdW{!%AM9YywkuX3vDPS~d*U4;=&8x8xqAD)RSJWdNAnwP0i
zf!Q^esz|<O>vlSASR{+0pR}jy;Lagkc*9icEt21(SQTy!?|08AC+#mF#q}6DU+YpH
z*uDwz?=yQc$oqb5N4j)3z!$d<1cbr5TRLq>eBY&#Q^~NSV|_4*y9FFSm<CG@4`s2y
ze9sny$@P@AcWnd7-;<TM_5prett&%*@Ap$jRLJ#G5T`#A54=ew+hH2sxcp2=81}hp
zdzf4wl}d+el6cW5o5W^#<jZs>A3R987DTRx8XrBa=YV@CO076x&+hdO60bCI*CE%_
z_Qo}fBz|m*u&@lga$?ISet228i^TvQ4Q<>_wzqc6wFz>49H^`qP5RULUSDNPI6hh9
z7Zsdl6WM$W&ggn%K(=4+0WV$`nAy<Ei)_Euom&@O;jR>!?bL`5|ND765Pl@}QRgq>
zyVDX+2g5!GO8%1l@ucx2%XK(oPG4vhaY1&*iFmk%EmM|kPm!iqz4`EEFDXkB-}Bk?
zX%YO5lBR*IUt^kfp#`3c3(ca371L~a-ob-MFB~D;|E;-jRWH0@W>Jm{9zN|e@Ckkv
z6{RZx&v9<~FaxKh(20t||0P<_Pr<%Iw=RmqLWK%ii*QCQr@a*HnHT6ro^O!6qR2to
zcU!8=CTfhQSxUY5y&v91=OaZ48)Z)xsKIQ^+gi!}+cSs!qe=e?n6#NA<8R}`TZVPv
zt>!YCT(B;0S{>=X%#TmHvcpt7Dtx5>YFj8(@WHpgHvS>~zg5=lD>uCD4(nsm|DzAE
zgzSPdPuz`jf;Y$Q&k={u@fwah!%<6{f0Oss@So{<;|Zs}-oqscYbC~r_`o@y>n`#z
zi$5pjIau?#V5}@0^Y7i!^Kg6SRG$)j&eKLI4F2oAiBb`MsQi950@hl|%F=_+6x)Be
z3fn1_H)_K<I|icS;jtclXDe7C$M0kkJQ`zrm5gVeZ=~Q$gNu~LcAkXeyCpy6!_oAs
ze&qc%;_7R%Mev7bFB)9nAIB0{p1{Uq^<z%(n3S_;8N9hILXnJ@7WAy@SHpC82+j@G
z-uHmA4!*>-;cp=PVnlo3HCcZDs&D|@WBvX2d$?w&?3NoO9v#uv2^SV_SGW!zvv!mC
z1g}dCT)qwOW81X3A3i4izAynkVmRmg4d$G^ypjqFPRIyP!vmKswMc#twMfVeY~V|O
zD+BibX0P}UKDev->m8V}&*~OMJdWQ7LnX6d`oH6iJK>kvCpX8#*K6m5CE(~B7F&|P
zac9iBEZm&Y8F~xeVt(6B9`5N4Z6)K+_e^RyHDN!e6)uwBZ`<yx4KuW4pSla18${9D
z!neg=bdm9CyORG-9fijV9Yjf7Yi_T$6HMR7Xh7E2S7({+3}>Ylr;zdP)A1vrp0K3h
zkr(9tZ1O9HK5zJ+&JrUTA3w6G+Aji*y51c`;(96LA1=d-|M@nP`?ov)JO3~iei^WN
zCKoPFeXuDWKK1V2fnr#Zi%%j3_Sne8OUB>DB1~eg!UN^`?o}{*a#bN&|7a4kP7N$V
zWm8MyZ}a=*x?#zhszDO>Gt_4J48LI5nM&4Ickg^Lxj*awBjWibSZ(F&)k%2x&-~da
z;sTakf8l+zdUwL$_{V2y$o-4XkxO$V-<6Tck`8u1*Uk|HKP~r>ribgFyoic~AA5fE
zmVg<Qw3^Ss$5s<XW#N%4Dk>M@OB?5%$n$A#mwfF5;o%AM1LXZ1zL=mH3U>`&>UV(;
zo!GuV0HzB3R!QEcp)p-BOFr-8D@L0Ou;aFmZ2oXFlZRXgTyMc~n&k6TQbv;ZW6TKc
zPdE*4xPSCGdH+S$o1kf5c>lw>M>pW^-Dxaj|1l~bx|&F=^VO5=KZ)$&&uQ=$&E>dL
z@Oaz)r<t(b$Ndv-@bs;A>O45f#gvh>k7O6oZw2tMU1uZ74_mSbBk#vhVER6K0{$74
zXIn#jR!ocJzt=lZ*a!!|kZ~dHjn60kaudAAp<KWLZrM`1{WBc+wpyLE&)#uHiZ3v&
zjMg7}IBHns?j)>JuEA>!oBCY6@C$abiV7h40yDzzmSFFD=c*6EUSG;C{)IoNR&bfX
z8(WOpXz;w@Et;bJdT^9PVi6s@i*53@0nB<qVwKdNZ}jag*MvQTeY)A;>+?M9I`EkI
zCNVyEVS-xW0LgFBrxb*z2DK72;K;6FQ*l`6%&syeIGlHz#4cF7&y7VD{t^B>NETMz
zU?{5qm%A@p$-~SK-;I;};DeHj+Hm#kJq9^=^~<StJ=j_HhbzfHZnQ!8F#MLO`syCI
z@QTtJd0v+H2ZOaT9C~a2)eu<BLsQ`(+)lOjh&-<v*Y-=2Z0}Y*1D<Ypy=*=~7e3U-
z`=B4*XlwjSALh$=xH<yso6NJ2->+UY)%_Db?`q^ljvvg;VPe1Gn8dh}eQ-tf(w8MT
zJNG*S`Tk)B*CfdE)gE8Mr1rvpB^owT!BU?kMoE6T`FJj=M=m5$PbUKpj0uI4dgYsb
zvg?uUJF`{M*a6NNN)j`IZ6=m{?cv6MUz9E24Odeg0${}?^J63)IQ~`T0=)WIhSLo8
z%$e)E3LCg&?=ysxpURhChr=@#4w3k0wa)vbp10b(oi~Y>aByBC^}GE8G{sHfH|#rw
zs^B1wA(|ubAKo8Y<?t2V?iY4&lH}a*8@Q%S_8a*=c6$43-@&`~KU5+4J(hJ$9q>^d
zb6(P3x9kes+XhSYc1e@tr{*;6wx2MK>m_E={}hBObw=P@H8-0`e?9o{`Hw}o@UVJb
z06c2sws{`*wK{ep7`B-@RX~mT2DLLx2O{9YHKtZdxbL3gax{GD5uFz+d{ld?I}Y}j
zD7?uGf6o`WkqGC^WJ(Lc2_}8ssj%!<B};zTD`bmWE?l_p`j8GBpVGni5KcWVv{4Jb
zF)!8q7@p$Xm}>#|a?Y1kz^)H(y(9In^G2J+U&5_tE$RH=Kh!C-Z{f5feRwhvpQmT#
z)C{v!>II*N<7Y(<euVva-(`{c9c)SktKG2Me_02j;GI7Md%wcUXZcQ&`67|8KFxfG
zM_Vn;(qX#X^)3Bykjz)fyKwO#56d}NK)`GHC)_Y|;oKx#TC~zZ=F^BDO{4e=Khw!t
z7sGs<r7al)R5x(FrB1(nJN)mJW(hNFGv8Ta1Xs<N#B;*jJNI=Nz}3&x^m*Yng;75{
zIBm>m$2Pd)vu3h2+&FZ+R2F_88`nVQQ^i>w=-ds*Iqttp=3|v*9GxKXqHB`Z$$YVs
zPh=S+;Cj&>*T=Bg5BH1m@UrCATv8wSmB-(Dark?N$FUxm!iHXO7c4>b{J}T4PU*t|
z5m@HFL(DK)ern<m$&U@(AU+R!j_30T!#S<F8<yY~#pMAc|C#F2;dS`u!PCin@J+cC
z$qks_mwZ3YjO0i2DYcOLz?&@8{di!X*S&ch@M4IAq#$fY6Qm;sXX!E+Z-uoSdA5=I
zv@MF#bo}tv<;uGKa5jJE4zm5W&{?OGda%shD??;`{qu`Tq`oU<_Z=#Bc%VFy(-c<9
zEIL8*<@XLdlX|XPa$1+j{#dvZqCx7tJ~@4)e+yiE=KT#P_)kxWAT`X+yrN6yQ+mo}
zeWrt{f2EBC!h7b+cvi8$HP~u1Nc~quPu*O4#BCC$n=0Ynr!u3YJ(!HMUaW=fW_hoY
z{Mz3yrOV;BepJm<aJJj0(dTf)t$D8r_-=Y+av9uh^7#>IpB}PTOse2jgXZ}j_=(cj
zk^=aU{1bW7-oLbbI8_WkW-je%f~9iKZOwyexyAm}!`GkuoFn;J$9AXJ!mk?Q?q!qw
zWR|a_zp?wd+L8Q=FZnJO!}E_eGu(y0Dy-LK!?GcrFYm#F+N>w<!f%HC{L<lqx!HR+
z;oohNyGZ@np;3B0a(<=i_^vkv-hR}g-~v2+=#?jlXO{#VIuBPY9pz7jue=@hJOjH}
z<}Z`=t^KKa>j%H7X3-<{ZB2L%8<PLu3p_$kNxfQ`?u*lwu$fP(GpT3G#b=LKeqp@r
z@%95``|?He7z@MVBPnrj;6(}#ZyvZeztZg;{Aoa}nGbGN-c$Jz4*2Ce!2yroJ#>rA
zx0OC9rMDH<z4>zZD_kjd>E{B@pVdvocTd7r6tX(YaL#b{g?U(}q(65Ut~RWo{|nP@
zyh=3!x1W%=qrrS$-OJOOJ@76q`7QKtRA*9FFWlBtdV&q+&zk<$0!uOHb8^E~qlu~?
z;Nw&~T!i6Fih+=Nxa0u~AE`eZtA44s0Y1l);IRi5_Q+m&4u=?r>&U`S1vHP;!uc%J
zNu*xESigNh1-$ZW_B5$yAV^EmSq0x_Ia^2S5lq-|&6mQvZyrx0^$Kbi%T1rb`&ov@
zNxgw>L+?%(!z{ARjb#2f+cT?SvcBPfk5pv7dDW|9ROI@|(ffHnsRzJjR`{GOA3*gY
zBnED}Q22!`Z}TA6`Wl=lad<z;rwkU)PlW5n5806Gt!=LvBa+~4EOSpE!W#2&A2VUk
zn(MbiU@7_V)+eyqneD&H^<d(T%>vc%zgl|MK==a3r{x;hU^Lr12(~_TT<<k}-NROb
z7Zy6Eq&5vx)qaQ};}4A!ZPyp!XpY<YoN%AJr|TbB{mUjAZg}koRRtyLX$*eUIZ3Yf
zWn5qBl6tTX9M9^=_`^)su{*4=|JY>cSBwv|U%m271lHPX(l-D*JlH`i0n^t1S?Pf%
z|K9s11uul!9qEG?L$sv#!Rr227WZJ+)>0~CSUibtIU8nsO<$%BTc$aji-O<edh#EJ
zce+hTU4xmgzk2Qfdw&fuCgaDSjXCd}gonJTH(r4SuX`!@!}e=e#KPg16faoL!vV!@
z;Ur)5zT1h5Fz?61Ib=LKt+HGx0;XmBW=rzN7?^uWJ(c%*win3wwQPr78L79D(U#p!
z@&&^;Qs0Gxv$+<}!3sYQ_h-X<)9uXy;iARAl7+C?hPE@laQr`QI#M6@F;_tpiLdX{
zUuuL)%=^BdgikARMv?li-?)V|PQlbK8@jsT#g4EOCtxb04JDu9HHKHu9bw_UCF_GQ
z<59sccJPq><md0Ov&75{iJ#+GXd?As<+mPWIST)ylKGF+i&duh*hJRH)_V2e7Pym|
zf6NAU@^0i~hXtLSwMc%QwXY|s54#<+V~pWw_W_}8@Zy0GWpntShjJaMmm^74ZF>kl
zH|?D&4~HB#U^@&;>b={q16wLzk~M&xg4fve;TPs_<4At0RH4&hm{mvOy&BByO1t$4
zOlf&$rv^N5<>{&8u)jx!o)XL(KcL|V3r`K+Q-PzI<8Qjdw#l1b$-~}HpLuw}&tr{*
z6k*?6F4g{UDSv|fE?D~UL!Th{5?x1?1l+N1UmF1{P5=5V3g15$ni2&+HI!D^0S}8v
z|BQpTzt*!9hHaIN8g9adNimN_U>V(Y)>OEB@dXnztRSGBodb8N|8d^}KP~(-L+UL>
zeq}14f+==!-!Fl`@$1mg!XjcH=1Dy#haCOdFSuV65H`s24)!}F?9>bE@Qc>h!wT*!
zb&YUI{+cm~e=v~YYl8b#pJ#rA8%#u%>*1%f`RBXfyA!knFW^|iu^sPW_wIh>LRji%
z(lZk0ZCtqX0M>H1rR|5?TwA&_;d5WvtA^o|M&D$z;ca5Qn<n84Duq6Yu>7Bxnpt?5
zv%2{<9QfFTaRs(0pmFho)4v-T)1m&B{bhj*7vQ&FAF2w&G~0~rF2R`X=_COE{v75L
z1J|T0o9}}!{Vg+%hx-&f1La_j>89)V;60J*x?ymOYsiBPm@0x>I2<;lZ9bU;n};UX
zCBXNR&qt)e@lvN#Z^OzQ!t-Q#BS!bn&*0j|m#pOX{kw6nv=TN`zZj7RXT-_>CiPi6
znK*N@;I}`RT1frXF_pcCYvI@7&OM|aUFNGAS#m$J*(mg%4s7FMJMj({2_MWL_3Xly
zM_bxqovQf;3)q}J()B0IreE?c4{q7ryn6|5V=0#)^+kEv9X^ozi<eiJzowAo|1NJ8
zKzpzi@2Mm8Om~i5dd>@{HY%LC2><5H3fl>%z201N0d`mt6%mKqI^Df|;VWXAo~Cfw
zqf}D|I7POl$qe?}FPG&8-yeBt><wo)o!Dm&&vqUuBKPa0m*%5f;J1I<1E0d1e~zw`
z-^*BashiyYn&UrXVg~COR$n0ZuWnw(tJ~pT&$FM%{VSc$MrIOUX;4r70^j!@wLJu@
zv{Eef!**kCg=BlM#k=(UfIWidKOBbrXm-n!`&Z5~{(_`FV9w)(C362tdpN|M<d?D3
zTaf!x`(CY99)+paL>0*RHtlfWfDNqhW+8!$U&~P}N;$%^O)o5&;e@w80!cns@a-pC
z;Jhuz-;#Q>RX6`6ZiVHaw@s7n^Y(G)3>nW4QP)!=^=9=prk9fYAy&eIS4jS5mQa@6
za8O%fk0;EKb+AJbzSv?bLh9K@+}tg#3<u}7_>y|GvEJ9Wko!$X$9E=^{Jkv~ytUvk
ziqz4wFo(id6GJ%k<!=VEzb4mP9~i-}*d30N{rTVD1Rp!te>-g+$(Js<)^ZFE&pxvl
z44+OfJnak9>_6l};!<S~-k*iNK9oKsas7qO#pM59rfR-75Iz{Vg&`Dv9BaEP9NwyX
zdMXl*TSzhqgAMit8AQXv)T^1%aM#V=-ElDIgzT$GSa14g%ni6g{x;inc)lgiFcY?j
zUp_|i1zBI@XTizT)(_+1wbqV9PvH&pZG0qtIB>3@91cv`?MdQknHGCGV1M~L6lDG9
zcU_F_g6}p@nZ&~FoV!fO`Qw)khE!5tQas_$EE(TTI#FQ|3M;)%DkI~&eQ%p@orfPP
zIvtsWhhLx9J`G>>exNu98=MSvC-sCcTAc4A<G+%1yLp}A4}D=L7;rwT!nM7aw4Xhr
zH8o6dxWDf|(jL;i{$`T%-@0!uBFEvfLy<P*d^y~4y`JpfzP{H=<b3+5()0+~zp;bK
z?qocu?M~LqOt{*8%#e&1=_g$tO@j|^o^w)#8AQ#x%3vCX^l%avv^!l=4sWkwStjFI
zjj2IXJ#c@)na^ZACP~1CmDB^CN>RB*#!GH`^puRi&r>%Xv4QjYB3Hh_rT(TqWW0}e
zm*UtTSdgm1l#B<yp{8YAf={X4rzhhb9Mb_s8&Qw+LMQVS8IKf|S8t<+S>A5SC*vKJ
z(ht2k;5VlNu7tunzWXGy!i^lET4cOqdG?cx2+UhEElS3F>$lvt5`y#V;?&6XPSevJ
zTBLsJ+9b75GOQ^*;7aPP<}Tb0A>$o1GmI5#@a{(p$I11R+gR-vWs)DWpNEWpJeJ@N
zIs~&Al&(I2?QS;S)rU*_C!dk)vC2_yHCxy$-z~WU&Z?+$JObaOwR%jh-xS{}n4X4(
zEqfAP!=>}xXT9L~_V5{U{dc2hwZR`&d_eQ@1N{BcoiS3+*Wq^A9x@){nq9Ro2o_k|
zx8*Z@yXo-J^DwR1gm)iYFXC53>icTz&dU6RjsM=7zW^VJDvBr9r#|7Oni25NCy&hj
zz$NDzV?$t}KA#eDeOoO$*hlL1D$>l}+<@z0{~t~iBwr!**)MWE&D$1Yat+ouRct5M
z%lV9JelhR?t=3o;*d=c_YYJSj!Q7h*rayd7Aql3MeH$$R@6{O=DTamREZjti4J`E@
zz%Q0_)MQ|>pM@P=@UhB$LW=N=2>bF!n6tV2jt0EFSyyfzZrZB&ObI^uX^43V-Y43B
zO$TOX;7$`#M?Sku;Q_dm;@LS7ShkGAMGGGL)x<6bU#fJ7RD~1ooSadBudD8<FofHg
z65qMP`Xawm%wWs4nQ3R3iDGWag5>X8Q1yoM&OG~U2bbp<J9@ykgj?nu;p}O1lSr6#
z>+LQ#_(f^1-zE6JlAOJsuop${%Pa6z4ovrfKc9MM9tscN=-zr2cCUJs69o&NrPr>4
zPh3{a@`Yn`75{q<^W^XPbpg&u&v$tTC%yIC=MSfCWEJ@Uix(g6x(qjKv`}}$hv&Ti
zgu}D-*OEuz-`u^zHSkTLx@QCM9`jd!YvH(?x7$hFT`Od~2X4Jm_lv}T9z6BB4}QzO
z$#@8UdccI^JAC)<9?w4b)_}t72>j@v-H-3^JAqCKIt@IpFz!#)4}ZD+oQ@v$EqoR{
z3dhcvX-U8n^Y`ti;d~hv*PX;cf1l65r<e4~W#Hw*Q<+QfpQlIqq+ni&Ji9emmxep=
z0BpE9Rh8-{`tP1?87lC(V{2(N@aqbSNiA6V&94v!c-ILUmV@xC{k2M4;7<xK9-6^-
zik|Xqh4b`l+D%}(=50Yd@Q0*3Le_B3mz^nWFhx?znl0S@ag>!GZsw#=3?|E$j?at0
zu^;}}1;T+b4(4KTV`f|7CAeb#q`V|N)Y;e?3XjKsF_nWK^&PCf1Al(l?oHxFeWrI(
zVKrUT_j};Vf$bwX@YMZd#R_oAdydUnaOUsW5iNMjhvlJmm^c44wHoYc#8le}KVsn(
z(uQv*1r|-gv-S(BBp%os7d-=eIdHBXgt?FI5~Vzd^P9$>TUB6xb2Un8_<ZSw0Fp1k
z!(hq)XFlXCm4;V(chj-LY94Z@<zd_8xA(WftC1_$rQolA-IqjR0VZC<y|C_8KS2eU
zUA5O$0#@Y?TUCS`r`_L>e7iy;0}Z&eSoDWDT-0kNrUmzRJ=NR=^EZq7AA(=(@N^*C
z_f@*YVH21_`B@)XpLCIP>}lA(Z_^9%c~UoROT6I5g<wThczRdlL>w%f+`~h*SIv<#
z%(1Xr_1W7-@Z;cX1`pwe<2?Zuu<Fcd??Tw*$j?MO*qNfrwgLWl(d?WfT-TBuS_j|n
zuHSnKHkIe*YlqL!NpX6^w>^I!XoVa33p;$_k{@1Q`{Ax5+|L5xzGw}~FR<Sww~rTL
zb_3t3c{p3WzbqP_(mJr^H>_O|;2R6O1QtKqpo#J7uwNF5Fx$YnkL!r%=hT<phR1s)
zgy|4>U)Z0N4rkQ-(xQP|qF5F(VgLF65*gudC$D_E4~tkhmTxBOJ9$zeA6{x?r)7h;
zw0_-M3>W6K?qq?5(lfhD;nVti-Uz{kjJ%aq@W_qfaejEFk78>L+|hV*zZhKG6SC3(
zYhTqkCISy=T2wT_3gsy)d*Qcwov9yShY?Ky8F=^Ea_dewM&wSl27Ecantuom9r?0B
z1@`288vGqLv4}XV1us5VI6eW}tO)v(eCPXeFQ#Co|6Vod!@^wqB35CQ^Rt^teptyt
z4T=O@Z@J3lTfmo=8$~w4{gDmLhv8I-_V7*co_<FjTUc<gTbB!7$~x;n^6yjp%;ko=
zwrwdn3U`f8c!<Lje_5BT;Ktw7%{yU({0G{{;TQ&*8~fmgX_>J$@Y2RnX?b{-W1|}R
zyb}){*i_)o<sb)Rcr8rKlH}X}IrK^uW>8Aqrv{7Ps2f#+zueN}A@O6Imsf@1fsrR`
zs_=<Z9)f~o`F)qv_QR*j_J=dUO_|??)M3lUqWknP=gPmZgYe7`&3Uqa2PYgI_2Evx
z$6Q<B9yT2+T{y;>=PhYJ&v#HYS-`#KQ_NJb^vZVeBk(2FaC@@8QqG7?_VA&=AD2je
zhE;*<3Aj4rd>d&mO#e0-o`S=yKFyK#cIJU>p&R_<sp~;b_+9_a*we80#7k%LeTr7=
zCVb)Jm(9v};n51A)<Bq3G5^z6SYOLRG8lfvpddzm|H;@g<_NO9O0>QJtQ$4yeHrdD
zWJ@OPPu0fga4hV%e7u^pzufvOC2?@#!SPKJu+(3hO&4Gk^tdYr9~r#iO4iRbb7h*e
zH~#~oQT{MHr+o7P_{(sj7Ri6|!r0XmF0c}I^n)vtm$l5{zfB23=i#%dTZWuqPg8ES
zGjQ0BsuwPBW`J1+$#*K&Ve}#K8=Y02F!R9V&ogkT1S5|R?A{otcmeM1zPis9E>Gg;
z2!Z9tUM9K2*S-`wU4|cvsFXRu0VapkV_?2QKQ<Tm)%@qU8}R74G3n#5;if>3MA*Ss
z@P-4-$+WR54fbz~e`pKKzxppJ6JAk&&2S73-XZ%V7q*a=-DL&KUTmo^fQLC;uUNxN
znszKt;LxNGxrbpb)w#(sc*`s`Eom>8PlPMiz&|&*iWtF;t6W>_;Kjs_L6Xm4tnjoA
z-d43|-2nca{_bW6+&RqkhkSl@v@|WJ7PgnPJtt{zEz56*w!-%Vv;A%0-2W_OgyEB#
zA|-|}jdj?#80-`2#B2<AoTcBt2eyjs(I@Ty%GF)J<=`WY90jEPt8-VVtHP%>iz%dF
zr){R)+OWye$Z=`dSN_{}W7x5dErj%EHaADg!|>X=k`3v<l?9SlFTfSfHs{Flo=uNk
zLdf#Xce=>(Y99_fy$lx&1yzv#x;?Y1CmfC)Opw=r&-jh9-h+)+L$~U|FQRP~vf=$4
zEdgYET$>n*EP!dND*ngOeaCb8wQ&GfghXYeluc2Tkr5J+5kf>nNM);#%zjpgj8w{&
zJu)JtXvj)LMrKrmvUdo1KIi%K{kpDme|^un&wa*yaE{cMr}ydXOj!Nxc{b7>`P61A
zrLdg+sZ~?>(}oW=C2)*Eh6!o!gMyl+ui=RB=wsx57)dVdc?E|&W_nHTFZQ_-malME
z4_)#Nc-vFPBVBMbRS~-{{NxUe^D=zwc+q+gToG;>{Ri%@-ONe)&&;KI-)$<GU!8y3
za0xD;&dcM5+xPDiBK=)+qtJ>VY@xYbojeaz(rY?}VDDi~D-sV&JYIDI7EBTjAn~P5
zy~%3u?pjKv%W&da=TRe=A*#=eJYQDXoY+j@E=PfzB%VhzLUkQ})3g{%;{Kz4{WoCI
z1J=vrdXdBbM10_Aff^kxSeE-`O)zY*cBqitAB&HrS?<D5;$|Dj^DbntdioxGnD;{{
z$q${a3QvQ>d}y!e!+$~~iXOu>!tRX*u)=K7dNzE6rR*uG{~gqve3@{x0{dsuAKg15
zw!VY)!h&f@d)4N>`cMsr-deRL{YT4GlC=>wXD~@2?S1V2na`~-=XXU59rzcYw!=?Y
zL;klnxj)LwdenzutG;GA(w`(V+J^qX4%$ves_^WTS>-aEXx@H<#KkmP^O;mJKfdg6
zpTtc}&WG-RId#S+P2e=+cr6P!f7x~m`92|!h4){CS=nanNPi3ap6X@~m+IRG>%wgx
z#LirSDSpok>%oau*{L_+snD-nDsU?8TN7{C_rc&dGM?;m&tD3IC4Ek>kp5<MLb5#)
zrgiQ(NAmqP=JUnCug8zMk@1cHnm9!~e7)eLlrqe-%#-*8=9Q?<5`dp~a%?Mw?=`Eb
z?}aUSQ!5JK7{>HVobXwPory)T{~|{<H!LObVC)qvai5Eg9^REY;9Cj%&E9w43U^Ol
z_*@SMOVp0cVt&v*Ift`Lcs@popIm?!TW>^ugVU+Y{eHnBx(C$<;Y&vR{UdOCX3@iO
zxcI=uH8MZ>)JW?x1#g>aFdc&FZ-u{Kgk|)pJ-)$KS_6rHVX=rST|Z!FOY8BCYPes0
z)91V4m4;V!o8b2%^k;hEj^heDx5D>|<gc~E;aZV%+u;}O>7P4c8QvXAZ19<1Eo03v
zTazUxJDh)e3tbm%V>q{261F@fvabd9sZ$)5hCR4r1KZ#WOEnUT@JBVeKc(<`LSKd^
zTqogRK<0BNFImm&!!LOKoXC97tvbEg5I%fsp!qrcaO@zLIZPeCVKbR8zVc4(yaclh
zncL*TlB@^!Il@6^?yt#w^!=HdGFO;Gq-9SGyvIdv^M7#He5-U6eALos$QSOB5qd=C
zvsZu6ON79Zk%G_2d^h!)^!6|~S>2Z@63)`DF?#?%IOuWcHvHRXLiQ1S(WE&%6#n?e
zD<m0i@6YOYg++f1aAd;^!OM#7@N}w+!&CV1m(T8Y@J_uP{uglEHO?*vSSnb~<t@y3
zkZS%iOrxf!^B%5~*VDIwDS8JJKf;eRrZe^7?>RfgTZy#;E*rrk2abOpfDe5z_B#!8
zo1S_y1gE`7`$6)h_y(3I;NrKgt6H$d!dUw>ykRxd!w|lC;plcIb+rHZxAW&=O_f6u
z+u;9B%6zqgFUw!OA__}dEdDWvv(x-E4#UjHpFF<=Q}1~EOBt@%HydjYKMlFF<v1*-
z;I)&~$H&TY6-!uNsD8x@&htvPHHR54CYO=*$64hf>TB@4(M%Fqe*|5QJm3gBoNYT#
z+9Oy#;loY%@L546(q7AT*T+2JfQqCP(%#Oj%Q6A*+d(zEG}z=>q94iMAz$;6tT(9l
zb2SITy7%qxJ%cazJlp9DKk1p8c@9gui(B1>>n-n>k@dr-W2O22@PSy)-L>!^%EPOn
zu+!Alf1lu=`=_`_zW&iN?+*CRYO8S$To}WAp$|5<3ci^M=h&a*CjHg^uk-Fw_(e+w
z73t3x8hMVD!1MOMtH}Dn#fkQ7HC*sjEqflmm0$GlJ$$0)_y@9{2os?k?SZ>mGM{Y3
z^JG(H216Gd_=DP>22SDj%l!?%>A#{wo;UpLoJ~V;!9#{ayJ4AmQNwK~vERh*%ftg`
za@Tm!!(!|8VuJ9`%}bZ|!r}DFtRnEeu)y2A@Et~m8)C4e<w(Z?c)Ic@4SC-86)j!j
zg5N%SWlhG9-jK7;1YoLlVJ$NLP#3mz@WX#BX!6MTbLah`y$50I%?<L`;luIM#XN9v
z!Em1wT+;UF5*yt5r8LtA4nJ!3gc<G<N}=|LZ+&~cyayJ1-}dYwTza+rB8kTb)-uP!
zG5Z9IN&Gb3R7E~)?Z?SZ;=D)4xSzs%PdVC=IK4pL$Q#&L_}|kVFo$~K$qKlHOJkh_
z9uD~U=L;NUNo`BwnoJ#rop8FHb}5M;cq=aVjpR!P_UwjVzEO_<0Uvg65afgBbT=|m
z-pBLHF1?Ed9(cv$v<aSxAKXXEoAo+w<bf#%b)GT8-EOs&d*Qf8H9Dle;}h7jgkhfS
zc4tz*pDBE-#o$~!)or3M^^bi42jEekBje)mG4|Rt5|>T>-k}L|l<vKK1lBq|x~vYf
zEKcq}34cAM%Mkz{wwLNW4;LR)3G#$1sDh;};OtY*U;N?Um9u-SVf9q2MIX4eQO(;H
zc3q89xeYHUmUP^MTcp-l-C)zhyQQOHQwN^QB>&FkZ|kYBEMIG`2dtx}X^{cX`^+u*
z!Nan(GZpZXj=-%O@B)p3UKQM$uiW|{d}cs1ZyX-aN=tQw>ANQz=iqlT{b50{<C1Fe
zU-)=pSRwg7&95Y)sUKiJssFoVKCEZ*$b$h^z3y+63$L-c$Fsl<joC_7aNLVr_5E<2
zm~(C!yyvW8ju0$n;<;1_&;OeIWda98?Hw(EEhh5S&0t0Uy+=yno-mq&m*KbV3Fk`S
zBu<{ESKuh^sC(`3^n3pYt}y!`#q(C!El_vC4Xzeh+4vRyQ(WBrAN)$uYHt_J^81#o
zAFNz!=JEs1yQoeX3CBAMzU+aOZu4A<f_vCFsei)y9scSuu<TQBL6U#V!6GLP)_ZvE
z#&0;AwO959yev_@-V1Mtsfm9Ho9uaZY6x~X-LBpUQ#ps0kT{)UUCw9tv%Tv^62EB6
z6VU-*kbllU04IOkHPr>rUQ2Qwh3CDU+rGoU-gH0s1-ENokr;rLgx(KK!O`v9Yg6!j
z4Iu%N|LY;2*(~h*ZJX;X+<3BWA4N3YuQ1xZ8i()w?G4@t@B5@lvjDGNlyKM#2WC6(
zC;7h(7B9-d|2`iJd#r)qpWyIQSAu6VGz$`8pW(v}C*c6DvPUmqW{E0YU3im5#j9s<
zC;v%i1Nc+2u|YM==J|Ee1l})x&h0%cD}ANR0;Z0hWNL-?KA=pth9x3LBtFA$IMOaS
zz-;U8&EH`Se>qhbc;|&Hv%RoO*DqRkc%^SCd;)%aB4FY__<h#z!ckb#WX<_DEH*Vg
zyhRi1fyJ{Ce(<{Urkbs=M8%%dK``f?U<)o-)Zwaw53E=ncZ?T)q?T}(#It{X6_A6i
z1BaiG`0b&|O~>HfGFlA&aMEmnzABtfbx+U>zVz^&*h%=emf0A|mwl_yXbkfUCQ^IA
zdOLNVn8Fb%4j*sAb+JvVj_?)H^uZgjaCR^MHJF0$Mi#l=i9nMIU)Y@^tMWShSKTHl
z06q}Bo!<>U|5jl94lKV-Uf~)%%O_qR0ee<$-{=Z^uoqoUhPRnWaa@7*rOT94Vdp{m
zAI|Wd&?DcAVfQ;iEB5fSbBb@C!%>QlOi8}joprjmaL!Jz<K%jAS$~AfVSU?of}}o=
zm8TXB!iAOj45YqWsG{2XVY`Uz<}mmM#m1|%aK=>Z^ZT%0(dgYN_*5nP&WEu2wv=y+
z@YsN$cqIJX>DBAMaIesl`%&<O$Td1jEv&!pzx)^g57oxh(!%~<q=iWPY*^N1VT4&e
zNqRfMg~#0r*x<#W!aj1p99$7w<$(`*2A?#7V>o24AA}=Bmvhg-Lr#nDCE=#M?^aac
z*xs)u$KYB6q4Vmn!pnplRrqxO!aZ47QrYXW7Ce(5A$A1L!(UoC0sCJvv_1eY^#!$^
zgcajo)(OMsX|#Csh&OAq?Sh+(#>&pYe*!)w@xaw1n`XV>hQ*ZtL3l=OFN+6!zc_8P
zI2>Risu>6S2z{L-pU3}K&G8ZJu`I!?2y>SP8a{>hEITc!!U;JK-SgqcD%Rzi@JqjK
zEN|hkQ(2Go;DE2YrOM$^o1BYh;k=57mIj#1V_e+~F86ydR|h*>T-kCFo^YXz?1l%u
zj?dV_G6|GL9dH%J<PK8bz7afeQ}8y&$D(%d+sFLwv+(-@(R-x-o}cfk`3rB({+4$c
zHqP!&TZ0G8uWYq}JxwEKHl4!y#O<9jX%B&i!TDQY9RaNjQ`q3G{0cKXrZV-8JWu{9
zOLeot;r3oUq&<s2jql@vS$6I|dKzY$AE4reTZ=Oi^<ka9SiJ-A@iB#$TJWXJaM6P>
z>smdV4lFo*;y+2)uF^t+wD;UODbpixd#&3d$&X)6UsQ+xi=$>D^&8C|-L46<gx_-^
z`JUIc_|Cu&CfFm6!~3LUH=KpfZ>lLK@o-i1(W`I-w^9uGJROZI^p0@FjWTLdA7{4|
zd?<zAJ^$K5`lG@5f-S|cI#bYL(%+oi&KZ}%l<!3cL*SHt`FBO|&WJ&kFnEn&n4ZMP
zrB}Dd!P80abW7mrKQEjUVD6bqNv~l=6D6ZGSlmmq;uV}6zM(7wuBM)1sDw+r!jto0
zi!Ci8?_f8c(;EumGtJI7KfvnjHlJR@?@bT9e-GPuB-@q2bnil4$n|JL_UgWecVDrL
zegQk1nohojDa5MO3gG8UeQh;xw_l9y6SyTUN3sq+^F*rj8GQHAHt!|)%V1hsGQ6HQ
z+4mQ&Ymu4Bf`2CTWYa#x{?)?_iB$O1<7@{8n4h-cGpVmn8Qgj-@Ua+=nL_yN4u%p|
zc%vAd!b{j9JusF7&XOy!cuvX(-&o;-3mKFP-oV|-Q$O~>U+(?>OzP9)cyGE8to>($
zeFOaGf>EeAd}1IatPZ~P<+Qdm%%Jx|pc|GI)n-$Hs{?=8wZU8zmI_+%c6U$xak&50
zAiqAmHIL491g^WqpKl6NwC{LAr;VRix$xdaSXMph6AgSiaZmkCIK*a=`ywpc@viU|
z?0ol{k_9Xp$bCHomQyh6y9WQM`Cxn(E^ci3=Lk2cN^(ZS9=FS4|AQSOzf&f_?l%R?
zy<p`5<GRPN*a>>WFt}KprXUM`mVDhU1ioE=a(ga(*K)8r3O<^?xbPIdctm|T0{&Kb
z%;*`cEAis+Be;!eLcR=kzO}>P0Zd5~wDBFRAU83U4wpMg|E__%W>gtdVW}g1dG#c}
zge|Wa&dZIu*8+RAI5rl-RKAa2b-{+7DbMTRiKxLg5+94veb4|)swhf*frY=k=x>9?
zfBNV)!Zi;rR&>B2#~-<o_+_2w>?zp(N@Em>S9Tu{o`vbW!VFvCr~34~lsXvCo|j*1
zfT!-4Qc%Mj`Fq+({+=#&?XB=d7uAVc*r=>Vm=T`q&(Qe@YncmqvcZQWKG{~n0Y6)e
z*kQT(JBL2NeR7F&!ti_jC+ZdOq^nY^2z)eS%M+4+Zhtn{5jgkmzM68_a+BsiSvZvS
zcL>QZ^kj|IgoU=ProDor=wG^N!{&|^Hg932K7S^2c&|&Ne<{4m&o^@c=9XN^A@SgI
zr@K92#gG50NPOLXrt~KK@m}hw_ps%_e-laY1*te|(tfvFxIU%8>|wR~<oiZzQtLFp
zVikpsq&-c9a}GAaT2{Qxq<n_+X0HxdW_pCO1YX~ycBB^;jWD))0dISs9XJT9pJ0j0
zhPg_5lt$sLJ-(~t{#yPie|HwvczsAT5iXRvbZQB1JsEQ^8P@w+7e}Fs{n#n$AE9t|
zxxLh8_}qe>QaHSEq&0vMuG=YL8U+7%X=KR)bJMJG-+`5Q1=jdsUa5Dor2l-&dh%5O
z=I7#1B>5vhnf8mq+1>pwd|=}((KLr)>TZ^AB)(GjaY_@W<@vZs;>=~5P1^9b*tpl^
zdN-wZ*_y*%6KWl#zv}kIs9D05^6c^cu+#HP1I}=0Qe}x3{Eu<4!WDk0N!v@}3T@0e
z5pab}#sZ1EF5e4|f@P02XNJMkjj9<9aMQ;V;rHPU>=m_jaMViW6zSg_j9e@&@cr#a
zI!OPf?7lDA1Y77U#HYXq{7*H1gNLq_`jPtoRrq@5EByL)gK9qUC8w})_<e!uLDGKL
zmwNI?;Es(eXUP4yC%iv;<7w>IKJ}6#_p5{RiPCk%ox+%ts$mJASSnh?OU&<<zJZ7H
zrGL`F#>E1=$^DzLCtQ>n*6?6GRSY|8yr0+w+g0TjlFvJMaF-kp%v{R;k^DTW2MgHv
z;U>4ILgaa~dTo=nFdX!ULnR09Wr|f1fxjLs%6bAvluqB1h7+WBzfXrHR{We~;ozY>
zKJq*ppy+w41Z#OR%9H1v&ah3Q3e56KdSeFsn1bzyA$);qM&c1%SuMI?0<Z4ye-sNl
zOoS+1f>ZAtswel8&-RDwws6pc*TNC7NWrw0GpxN>*LNOH<Cn4wf;&Cc6fIz*_(z2i
zu*)u0K3-UAu+KLeKDqO0AU|AXqTcirwh!)2;(%R^qVt}?p{ptzxZzD=6o1R%+SU7q
zncxE}Q7_)ZB{qMfS>WgD|0wI>4@-Lr8DM@^<$+J|e2*XFcKB6wp-4NdS+^cBf$`MZ
ztvl!^{P<#~@EFW=*;?i+93=KyWe{Eqc(n5yyj{uqXFpt@%U4gzx5VCD?Sb`_b+WtQ
zaIS-KU9ehO_qk@+_ow|(73}PPVu8f{`uGFLeBkX|eHMv#vRnTm^NsW${M@~88J%z-
znU6T=WVW`!)7Gk`(XjT_*Ad-ttOk<-SufaA${lZk9cj6)konI0HU+LPu!6<ZmQa{G
z<#kH~yeE5=KLF+&dtKNBv%0oa`oeE#q%CXVi+p4AWPTM&EzC*kN8~KySu(%M5_o1$
zu4nsp*R}tzcXsET?1Xu2j<u5Ylum-^qwlb1k+_W-yu+-xei|;<)2t`!UypQ!UCVI#
zJMmSrURK~+ZTkoJ{WPy2^Yh=syRL52!}k$z&LZV^$;d|0!xlVw_GErpu~|=;0~Y!A
z;Fbz}{JS_EH~gfaMO_0vMX!+|3SYhP?1D19_;7!~VK}yb$88cHH>$VSg8!44d`#jA
zc{wL_;GoKLA4vSQg_^hx?DTm54-$92xo^8Y?9*@~oy<>z=Z`$`f+O=nX%50lVe!1d
zFwfy!TM?Lfi{Q0L_;!u8zaXr?Z~4?c*u;H`j;v3pT?KDFgJX82@Cm_Oj(;z_fM=eL
z{UYU^wrpRkg-eYdQtXE_UjFF$2#>SAwj}xgMcNCt!cPOKA8^1auc!t);S8Dmf4E@R
zO;KV$;HefX0VX&xjB{cLj`Io%VSyb^<;hOMmhz=#)NqK{p+9qQac>*@W?0Yqjq)nY
z-Do9A_B+Imd-ANq1LGAYB<?@4k8YPfetv6>>m;sm_vf$O@PhiCBQ)^UjT8Yw@Mt5$
zX$n~WT)D*|xHItdj!iJ@{?3(S@G?u|!GG9q8Iz3aJ`Q`NG0&3g`CrJpt_Mp;*vm~K
zUZ(wt!354#2~C`ax3QR-TqOBw4pC3w@`iXyU$|q|WiB74&5%5O8?Kk*<bMoXm}=8U
z!1}$sL8)+F?uhY2c=uiBq<DCA!bv(7rp&xSkp!D1G6bf;LqFf|dIZP%-M37K4_>YD
zjD;oci9F4NJvN_yatD61|FC^A+#GV6Ap$lkY<^h=OASZu4TjS!wI9BL`@cp7hrqTc
z$A8wq8U+f?*WoJ@`rb`&+%8#hvj4W_{QSob*z{nsr7he^+kUGTz906m+8%bFxY0TY
zGuKbfpNEewXoio%$@Z)F$bR6|?<|D@SnETRrzLz&T+#A7%<}E)E(=&TIDw@TuG>g2
zW(=?Hr=0DE??iHZHiS)Ho=<OqX%w`7>A+@R-uZoj8D+isG~uA4Yr|D=`Fx?=33yq&
zv8oncwfxk59Io->yYUwG$flT;g}uGK^xwldVLW$_!0lAcn_iK8Q^RaAxY?cWXF2?e
zI&DxGUOS2Zpbcvb^sMfMJ@{Dh59Cn4S=8}-u%3feX9g_c<JzzTo=jSZBKaHTvTd2+
z7zX7NY48DUwc>x+e?3&O`jy19d;@e>;Tc8M2ok@|UTU)d|98;aJ`*mql+BoipH9&=
zN5c!7o!*SVO~>W(W8fH$mnOg9qXE9=cj0e3Q!YQ?T<yH0_hEx>S*CAr?Z>IfP&oOa
z^MOt{c<atj;qdS1%DOMGR+Z6zfw0`SzdssbYd<d&a=)I|*YRn9yRVirko&o4-|a`$
zuv%94s6QOd*e_WLU;Vr@(G#Y*wp+U#KI|*zc@uuIuQT)oY!sFA%>mB8%bZpSf5>`M
zeie2ybvvF9*W6unw1$IDml$Wlce!aa?cmM#*_YB_O=X3(3-B@KbK4VPCoPShOR#r+
zZ9yD7p6wfE3b(gYeYg+13I*Gm!vaasf)C;Jfzzer`n88YD@MXUHW@x3*B`xRo*D%U
zaPkZ|!z+x7Ui$Drdr4*(-2KkE&j9uqzdio|rk_ww;)Hj+R{ekbUAvRN&JFK<!@Iu(
z@qZStckYIlsm3>z!V4~YJ=kFZ>pJ~+a88>@)DAdECsMQ$7Bz{P-3d1`Is8`-Q>i4;
zF~ZN{MNJxEEAeZMB%e}z^iLltzxV3UR+!;xe%lY&_fD58$!Agu<r#rHY1_=`;6yIX
ze`B!JPq_+uxJqA8YaUJ<73(7JQ(9Yw1sCCzn^f^6fAC~VHO(3PeX5ALV)Fil!P_i_
z4yKBc>LhU+(fLq5IApWVJMwwws}2`%!_Rr&bF;uwy$q{@@D<U_BMk7M>E|vXnEUO{
zxNXE8Ir}8wPX<dxv@pYx4W%^ftJ8a(<oB;|B&)%?)6c`GVWF0<UK()1n*^OLu$lPX
zohI-t>#NpOaAmpH{CU`x*7(3?*vOOO?iKi4Ilt0IxU;m}!3m!J8=FS*nUkZ-Jm447
z7s}W0zKQ0h_9JiD?)2+aQr>YglsyynVR0=Z<(<k^mb2kYpROsA`b*uCB3ci-KjbhX
z^|!Ocl%Wy+Ey}xx)KAqJ+MGVPl(J5o)Sp37W#A8ZSB1s{lAjq8)Ak#_!#@7xA3i@T
zNcZU&oZ>Qjh2)=9Th&~J%eumXRuMN_Di&Oa?OnG2Ciz7_Zr`9W!1!R9xxNSsiOcKL
z!5>`<DoK6^)5zp*xa&&&%p{zftC`IWH&|)u&%nhmc>f5(e6wHdM&Yv~pIe1sZ!^PB
z<8ZQJ7Pka!?9%gd2u|6rw<ZO%oH0@P4ewvtuc-i=#~WSmf$!V9QK`UIS3BB!VVXi+
zy;E>wiq1qkY^^hQNEa3w{iNLm^Ui<rHiBt0k6X3CJra(_Ch!1@{QeI3QUv#cJ<Qmh
ztN0n_3V7FY1^yu{beY6WLN&^RVIlWOZxa8YI`SwKUe-z3*bQ6tseOI|8*f${`wok>
zrq5=>M~7Rr2H-uJ9*RY<vXF=52wczHda(fR{%`Z6G58)&M$rp6Q0J-7EWD3)`O7mn
zxBIISsqYO#ao4J0-qJuJ(jMiaBlq9KYkL2RXwZJ<$G95?;5aFZ0McKd_T@14!ILVq
zL!^J-Dt9p-f{i2I1|NnmDH)G<!;6ocM<n4QPEJ`;{?Te}nKG<N?djVK3;y$CSB3A<
z9&H+g=MTTjvVn6p{kYiye|ma*vpwuF8{hB^HWCz?b%L98izdIq8`ziiufu2D?2nT2
z<D3acy<lH$Z}WcGI^;^yO}L~$B7X#avXd$J7X0j=V)HP(y7c>Z5F8h?$T0;+GljQ=
z!?qXJ702O{mnzZZeI~u3P46mP{B8VZEZh=cx4sN_l=y5)gNxsZNbNDi=Zzei%z=vz
z95CJmKcwEHn+Hc^b!BqHmUrEG%HX#v72~_%#0>j@*RVm7gDf8`c&_$LJ#4mi!j}V%
zzgXtk0v8>Vx0Ql5bsa8t!Ty_g!Vbe6;hBtNygZg0`@|8>+x1g$0Pel==Jqvs|2(4(
zi3e9db_#({Q>$2!c-ZM`?J#(HtL*_YzK%<78cl#}1f!3W@%5^kz=vdbE6wXoLvZpd
zYs;r_W8DeMkMP#Mj*fEJ>!K{h2lz&fc*rw2tpC1BF)Wj9#{C)=sCt-H0!OcGx>5}b
zCRDYP@ox)1i(ox0;Z!9}>Z@w}wQDQP@!z!f16Vqsoc=4USTp*KjBjG?R_A`gx~6jr
zWPD2rv5+2yckP-uOWKD)o<49AE)wb7W&&3qw{qBY7Uw@Y-a3)@*(3dIWel+5+sDZ|
za1u?k3o|Ta6u3bTX5$EazXvwCd`{#9d@(`9iw8bED;GuXPcebvy8ZAtKh-<({`}wi
zEq@WXKYf5(4(6edZ<dC?t|n?9gw4d8L*(Jgs~%59;Lfa&P8HZ9=ky0b*i}HML>(@;
zE4*I_zW9%J<7t?etJRPL4y(UYZV2lv=e*>C+gQ~$o5LGf>DS2fI4tFQvNe45!Z$NA
zzR<XdPh5p(_0n9a;oIKBAD!W6Os<_|Jo0#!zS9eS5hgjg0hTc~oWBV-R8Z@Z@gsAF
zMJWhASygF8#*aAZYR(W?B1txk#6`ER)1<<(_2wPq`#vzC<GlkPx}b677<?l6?bZA6
z*9qx9W0;rAaWxn&*H!j93$qHnDe!@fG~F(l!4vZRE#B}eUjL1zu-Ox_Ti4;{jG{41
zIMhr(%Ly);DG#xL-4CW4+rlT;hMle9KfYDoR&e2)>Ft+c^CA`zGr0cr&cEb&A(0`b
zX9B+p;*PO}S)~K0^x^f7mUeD%-&l#pDVTcJhSn7pn4?)c0b89*>hXs|HXKq`fbYAe
zxckD=|M@RS!AE$P{@>qwl5^7q;SCWRY%&lJdZ#-p3ZLqi{?-JGhS64Y!7`e9ilqN$
z`eiYa{OzxdnZCo1^PJA|!d};tI)1{!qB*nT@b{zX??z#d>7X6tdJ1Fz<^F-Ad3<Ay
zVXhOA_t#)MI)m5b{;;}KwXhD4>>2(4{qabaDu5UB@q0eqrMifxb*c{W!&g0RHj(o4
zj=D`kuv*YQK~mn||B>h+_<q?lS5kjJ(^A+Z;gMsGF{J)<ie<maz>U@chaF(bA8H>I
z;YeL+L((3M^%HkgV9{Xp84sA1>fd!O*x<__W;a-tlOaJLUORMqH4@ggSSTj(t(<+`
z_h5sO0=Lt!lF6^@X)yQo;gja@saKL^iExduX5IyOG_8~-6JGSQinf6hql^xae6`}w
zi*|7M^Deh1u>HNUA5L)29@n^R*jCn9nXLEb-RFKig}pOeg}q?cvv=qU;QckfB5uOW
zlQc#z;C<y(?ziCO6Y-wU;2=G(o*;OPg|)66wrPv03Wp^J(??&zJ_F4A?!rzJ97o>6
z$0x<Mk@YK=WcInYFqPE{DYCx(H@HQ)6P8===E{Jpydy7vfzQiC(-*-<=Rf^kgCp23
z^X0-y@3m_wjIjTEW<D?v7P(r%ycxdv`dtDk|D#u7W(zFmpuL_2TaFhUV}VOdcd(|w
zFa924-wDV0rMaiUZT2a)T(F7P{TE7b$_RU)8j1T;u#xtYt4wUwf$0L(RHfloQL%6X
z_?b^pHfeuepJzSi;gG#0Y&+q%+b4t_;NA#kZ#I~V@w(@AIPAY+HZtCLr=<klhL`oE
zyvJaw|3tprg|Cg2yz78##eD5!VMUR3o^E*O!|kt9U@dj`Bdze+oV^dz;l_=XabIAy
zt1o`$!3@S0JWt@Y-dV=C@ZI%<fPA>$Cd9lJerQA)N5&T(&)Y{o!u)|Z%}D;6)aRYu
zaIOfuIvJnLZA<=kz^?4#E#<H@!$z?s_+@8TStVSzZCQT-e)W1UM-BWiGbCjVHl}Q(
z{se3Dcvt_0<x89znqm8GvF2Nh@qD3Sf8Gfnm<;r%g-6?5cJ{z-DooAWVTxy*8~Wk1
z34do9V4+3Ni=_Xv9t>1uh27gfOU=NVXHN!^{6gl#vE+P{2}4WUF1VMe&;Ku6{3Gwr
z4%qbLi6OGS7HSqh!3jVA_2?xX+T-M0UkJ%pjG^Ac08`Um=;VekmKIWx^G?lYMgMZZ
z@;`X3S>c(CBDH<+z0gm(9Pk%MZ#zD?Oz6ZjE?9qIrBn!3x-glr57v~d>=A_Dc-pNC
z!Uz5+2#Uduayv#u;3EYaG!Ma92D=I*;6u|(L&xA_e6^3{U|#y?v`675Rq;|r@C1uY
zZZbSqc$u5@|0nf>pAz6rpK^vS!opJ3*7>k#&5h5bzo+Zih33Nh)i}i+VY{Ku&SKc2
zVQdfS@7*^%{uaUtr7HdIu$855bOo%d&f4Gu-#$BD`Ud{Pbn`Ch?~%H1^_t+Gr@EeG
zf9YJ#8P^6_GIVnv>F-^E<&|wP+q1sf2k?EvQ$x-0#Hn*(v9QZ$R^NU&HbCqK+5c*z
zOiTR+yRVhWk^Z_Z)LMQD9#e?kOZxLx-bwRuc=?+7?E-k0igx}y+{VIe`Wj}M(Vm@z
ze_EFEyodFgXv5cGCe`~}>fnEkeub;>$$q;l^{`(;?<&<fjITOsMlCP{%W1BSu+Bxk
z@;10=Pp$(UEMrQM(F1dA*&Rs(EB(r9?1w)*=WyeOldpu9{)WxxgJL;gTWVQlaz0Cb
zS6kCDcuNxh!DToqN@7M1-s47PNcJ0}+4;K9z=sm&707<%-@%(Jr{NB&$xZa|N7bDV
zEnz?D{wcCQ`pDVgr8(SS{!?!Ue4Mg$lMO7v(Rq{|?#QGOybRmF?Mvo_gRkkjI>Hgu
zts#5i!8-|$?BG)FzHtFKDdOj#Gl|c&bR2>!d4y=L!BgAk5)Q+e!zC%c@X6`XAX%8R
z?@!fDcw%DLDFwKzz{@NGuIpx&Cg&$oXkYr?fyGaW#*zJJvC~V9_u&<#y;lt3YrdD5
zNWMamdJ8$<;Wv?D{t(_*u2gOg&sVnik^Fhz2Y#2}i>B)A>9Em@Faxr`PkAoZA_;yK
z`Q{}#FE!xQlAj5i$h=A==cxh;=02yvjdvzDk@I4w*7tMd!7J}Zr*6S%&(suhVBb6Z
z`oXZFymwd;{D_fVfV`hb<ayHk1YYkn4SfU`f9~Zdfp4quQIq!_>HD^iroth&I7P|%
zhWC--E#+`g<c{5+Vf%)lxtDPJyQ?=_;8R=$itpi@8^pKG!|uEFM~mTtqB!S2@X(p-
z(xiOxF%MNLyw4GcmGpWJ9|}9iuo*5(bJ|f0|CP7q+X$x);`|OQYS<M-@_lBD6<gqz
zh#v`SxSs5nHqI|_1^a0V3dAW-%-Z+DV!dZrml2Pw-LCN+?)+Zuu>zln5qb0rX4zLA
zNq)Y^<(jUe@bT>#h9qC+TFAB)*w-Y{VHRFePoG$WH!5vyCi&lms${86@O)<3I85F@
z*=2m)wHc<{X1sj?UNn)W;DvcEDes$vy_0pm@x%Ik!V~0rbyx4WOTtRh+bPH4JeyR*
zBXCpb>c?p~?or>gIvhOG^?d~XsxsH43BSChqfGMWhqkkyfw$NR7!Scq68wJ+Vda1w
z+@tV~AoB;-u$JSn<WIOG)XCWn))_k=OY)B%#Xls1=fBKXcfzquPrTgWd{tXP@;)qD
zw!Y36KCL~c{|QdD>$w#K7eBjH+5}5(UTKMdRh0M}KfvoW>xEIUEJw6xJsd*Iy%q~=
zi0i6W!JD#qz9zt*{VQ^6;0QWp!3_93r`tPnp60cN5_L8yfA-S|iF^5GOjN+qt{&?o
z9v+(BPzB3XUZ^G4i#RuQ`3oF3NYhKs?~JkiRPKb^x6GxI`?XA+@7pgpMEu^%GT7`5
z*XvQ3Pw?*miH~pkFOAX^`!6k#OC;`o!qbl$?wjAhR|y9NwA*mOU0e}I%HhR3Evme*
zsX%ybHT<AT#Y-6$(_`p;1K-P4GFF9SlbO><d5#LtIYXGyBPRSK+*0VZ;|%;Ib7X+j
z_sJLZgMskr3WKF)I8uqJ@;1DD+v{CBoPJ2bG#1v+{PBg<_mOMLvI+3Vh{x+BKJ(=k
z&vW?s!BrO0|NMX4UN42cf8TQ_{ZGj>Nvi_B%rF{G+QWtR@qsG%sl4wDX;0nZ=WY$~
z-QTU$wear4&kdSjlL#9-(!aO6G^BRG6_<Azkn2Y=HdMF4#}l>Lzrbd?bNCmMcwag(
zpi0V9&(7~2h3%KTa!L7_Lv%K?@V(rMcci|xhpAN;;IRY7e5C%)2D0B@gBL7gkC6J)
z=wo%FIFI$1kyyez*!7$6TUxk))v@R$yxhT`um#>Vl;}?K|BdQOvBMsjt>G`=niw?}
zF8HbrwE=0b=`Ah=BJi<(bDw<p>-lqbl5kP_;y@w1QPQbY9=^WFxs(lGt+t3(g!M#U
zm^^`BuDK1U!#%X!*V5tqgO@8bVXo4vUov6#kKPPt;7dCqMv~!2vDRaTFry6rsZ?0>
zk<Srxcq_*-%XnCr)`ry*=6KOolL${)`(CtzKXZ-rkn^HfJgkm8!bcDNcPth*lJkjh
zg_AfU_3yz36P6C{uw4pY=>yoF(fgGze1lc=Q#d?$@jU*mJ@$vURg2t(c}8#G-(sQv
z(|tM-0<-oRR7SvD-{-ePz?WBUn<m5Ky$jrAJP1m&l1+tUUWVQx`SEhT!MX6Q4}Jw+
zaH!E?<)`p$G&2(!Uv64!-+c*h%i1j92CMh-T`7k@jK+nM^T3X$6w0e$7r(G%GJa)P
zGR4*s%W_b<!ha<X4L8AAhIG5Gz)55Os#@TQTXA0G{j?y@9>yLxb6>z+TUgd@WU?1N
zSkE+X56^9-J~{+j&-|gi3}4yQ%J!SY>4F@rVbk?Vt7&-f#brMW_~^rzC+6Ux6Z3<X
zu-R;T)Czo|D0`~`96N4tYJ(Z}C&eV3&%){NeBw64cV2ysKM5}|t{ZHFV}&oRYr-QY
zTxmPuKH-n@((pu{+EH%!@iwg#8Q9z3E<_N{>1(ei?}OPA8crO78;cDN9fBi&Pen<Q
z^6{-_x#8{SR8Ad*^)Bj^^TJm+?Bh<r7p&h6vcQ$YB?cPsZXOx+o$wZ(-c&t!k79z;
zW|&iHx0w;lFwWGz1=g8UdSU@D?X~^4hWQt>gR7MlOn*+VW+URAn?F*x!DYwtpOW(W
zW+HsoVMiSS7JB#x{n=~Ya93BhD4DMqeE2kC3S0OpJ~#&#eg7qO8TRmGHoOY!WP~S@
zxNK_4D{_8z<x~3TCHU@*qj!B^$Nu$0=5Ss7;G7@KeUQc58g}K(c~0*Cu5_OPGq}6z
z92>d+tJfn%NPK#>Yl`%@9LZ{z3vhLGlzt8zP|{Li3vVB#KTrz$Of686&(jb66#fcU
zy+@(v0B@_>>`?)GI?!Jy`C>Eo70LM0ca3AKCoC!bMTk5PdGh&0Nqy|8Ns1)T+gDo;
z-1LEqqQ85R=WXwMp=44Ydt>x6d*Ky#>7ZyhcPS={jIRbB;@S7$>kiizhG5=bhZo}D
zJt_*Nf8oL@dJ__7li}X8248WY%O-KHw->3&e5TfE;o~Ei|KLeGYM4u4hV?PrbTr(6
zoPW_w>pYSO#|`NEk@GRu231@y;4S`f4twBi&a~stU^{+4339%sYcld{6)YFHYs(?H
zw^@<vEzIA{d{q=aLn+}<3m-DbRyhW%jeaStfS)Gj<|x7!6l+%NV7n{x57c1yYmuBJ
ze?V+y=_I^!{ib~rJR7Dms0+_$D2F$|7aDZc$$3ylN70@(xbkWI;dAh_(3zEHn5wqf
z`~v*O>FK}-yeiA1X#=bF+EM+2A7p(_y8*`=es0-ij{QxEgOTL?8Q*80xgGEZ9`Cc{
zeAz*n6XE+{kFs8+5cnGNQ~@7+JbQB%InNX&@OecDo@=nXcMrbh?#i(r{vna@=K;)A
zqi-h$R}ZZ9$HULU7VaE^yJ`=sCc&AEtzA;^=)Y(&a-M2V=jz|X@By>tXmb8agF!>>
zC~U=j*slOqs2s47fxrB98Y1VrmP^Z@ABUyX+MCJw#F(EtoyXv|gk6&4JYqhh0KXb+
z;Ns0q&Kv%D_Cn<Z9LTVBgq$apXtMZz25y?Z{^b+Ar*)J<4~}+bP9*0=-z`SQS;BFa
zH*b^kq>ATRUYo;ods@ePVCK(*v^Fqr^wF+<Sn|oG1D9ceh3Ut`aJ$xqYFBu{%PedH
z4i5Dia)!%H176L;qZ__8+<^z3|D><LOkt-dZo@pmW}E-P9TB@_qhL*e)_JN&sPD)S
zlL&a=#W7<V_+h<n_CuJazxc#fc<gxj$NO-~)I$blxZYLeVmfTIZ|gD}$=A-kl>$q1
ztiR`k6T(F}i{W?+kNmyx*AEd2g>b2Y+l>S8U&d|S@8IId`3qujM!wD8*YFjsBqMqF
zPVG+5VR*w;7Dp*K^g)%;2%IVMxaA0}AnKDb1AmMZexm@hpK7h0gaZvcbWXxy4$qgj
zSztfq1B09{>{vmuhXEFj{b_R+zI2Ow!#+48?&cXY*n<BuFCTm}!ttpCTz2Np<Qdp6
zizUGY7T!?1O%D#<R!eaMPV#p#JqHV$GIs^Qqx!u`B>zce!_gpEeko|o6h86CNiZDV
z!SS4)<ok9V3Xg<uET1>Fg!iBGyp#wBm*>Zm{A3oYL#eP5&9a0ed|~JbTMjH2$!2H=
z-w09qnGYuonNNAb8CDZbC2&cT=XQ7a+Wg&^SHvQ(b8f@qH4jXhV7j6idS5t|&Ix~8
z5B0qx!kEPMQ|$tV;I|4XuYF*38{OZ(h>K)4lXz=#!n*}{3+-V|e^~oc2>%lNETQgE
zC>-~?b!Afw`q!VL?ptuYPpt(lEL(75UpO4TM1O=8zCzDw6AUwz(IoDIwTAOcBH_FG
zn%DQi?&@xTLf{zYQ{95_;0Y?_d$5q>WVHy)RXlK!<TK^W?-z$1haI0jg13e}+#v(6
zeN=0C0Cy;-c*?<oQY{>bu=G=9D<zonZsxH#c<`rQ!wGnc#GyN>aAx<y3r$#pYW+zv
zd^BV;yEeSz$E~F-*qAn-#sI#v?=)Km+;h0b;VgVyw*7KGtaH@X$PA`fObE(_%YO#G
zv4BIBxY~+gf7b&!*6=;ofw@BXM~voHJNWmKrQ%C?;o0=^HCQH<=fZPXRiD+|1vWeX
zIR6ctwpgy=2`_q|Ybt}sn1&0z;i0RYyQ|<x#jyAQxMEYdTm{_RSw;~AyNlA^u7iss
zE{uo4501Xdu7Rgg9-NMZ8Ir{p8e#eYIr)dM1JCyz4X~z@OKJ?9U2bUE28YnS_sE2!
zkEErM{EIQ`-?Cx$g`Lywu=h+xeIcAPRl1$zo38v8DTYUX9ytFMPU?%?^9n9KQ+u-u
z4!qduTTb$QrR#sdV@>}#RKms9O{0CV+NWL8AK-)Dc>$B~Mdd2qCU~(*K79=CE8B6q
z8FtIdot}etlvlWP!Z+-s8E0TE|Aw@0uw(I!KbtS$e9U(5$RRkpe3g|3_Hy|;{|m0o
zzjSdMyfH`a(*k_z$fb0We}yhpYze-r^>LaJb}2f|u@3h%DlwA${Z{*bQ^sPwTTGkF
z1y}FtZKH#qKJcz*hj%!fl3{=~F88tSh4Zo~_OigXZ?vR&VIj90p{(%ZnkNAV;4--b
zH#p#-`>g2#uzhg)S1!1q&1G5y9{*zWVIRDESI_o?a7#j`@P61mQu4ectmG25OBCL$
z@#v;F%)jv9rv$t{f09)h-qxx0Sq|pgo++gWGe>nu9D`pfulcLP11k~SDkT5QnKTuc
z$1;EHB&@&mPtFjw=(6e5CFMtTP4(f_TWd%4;cwk(*(UJofLDU&;E%^=>WpBuJiQ20
zn8sFV#|2nQVw>khm|pFUq#2y&rln#7$DiKcbOm0aqZhjhbKG^9w1+cf4Od;@PidQi
zy<y$%UB5lyS|#Ny4_Ia4>N6iW+`LmE6jn=?Ob&t<&9+$t!*?==sX}05&9ixtuuga0
zbR^tb5&9_%_UK`I{QwRyV7;6Ohwl2B6%Shqod}GBm8s9WJchS^tmk+F$LZ`h&w_Q=
zXXUfuu6JYAIWViRMCenvKkDVvr?6?)+1z|s;<CE;bGT}vUFj|Cp|s29HEi~G&axbS
zU>p=%1)IcYt9^kps!amx;h5QX)-ABIx%clbxW09p7^NlNM_MUV48zr20#0j)i|^UD
zZv-y#KKEu5;tmIBn5N;`Z{~d);XIRBw^>-kC2Ic`*k!Km;xc?e^WI5X*eIpy;|lzX
zwK94;oc%uI`NlY`|1ZCN&Hx`CkKMBg?zA4?zzWwZpPyrb6TG^Pll*&*M#ekfsbtEC
zUGV3085MT;!R5L99q<WFnJ1j^zW3~ZIpAfwJ&*Rn&sS-7?}7Im;#w1cgCa$&_+aH5
z8%7SntBR~a-0)6TIvp{XcFWOLK{#)CT=ocjS)6lrFZ`QrGmShv<##z$3U*tVoK=P|
zZC1)X3=iJkXsinNMqK<O2PYUdik^YxcWjp;`ARpa){IE`LaioMczSf~w>eB1yJu1v
zPMN3Iv4m-=rDe6?^qF~CTX>mw<GGVCm;3G%dw5?Ud**4_d2M63GdyQJP@@e$r#Luw
z9aftA%Xk(x+{*gh3m%hyEp`UBjX0t5A8fI;?WQSwn*WekApD~#GSL{;mQ(x~2hR;1
z)<}m{w<`AChm}Wt4`jj9m&TM*VXAZOvt4j@%HKmd@aa}RrVdy=WcI>S`0m-{Ka;S#
zK8<!M{GLsPbsVPkFW>zd9%R=qScMtRwozBXUysc-F2kFas;NK2UGY>Jd>64_8U1*7
z9h~sX_P{=v&F$K+Pp};Kl}agighgeg1`gnBO_hPEzV586hlk4BWi{ZR?n7V6^`G51
zvgZ{1{$-47BRm-=r+EbyIDIap78a377IK2C*7IMJ__hBMw}rwwJFJ>XTy&ITIt(76
ztEOy%1@^7BWx)R>I`8}dTbrAgWWzbbXZ~x4V?0iJ_rR-{p4;`pXI_7g?}YWG+Ng%%
zJ56sJmSBS#xtVeJ`H53w3$T{UB>z0@w6y>8)=T*QCjT9ofNiUj3K`+$;_b;(u*TDS
zD{Sxwj)dah@CS}fz3lMt_(8TYxX58yU@y$rQzASFKl8Gs6@+PdRPU3|Pd;dNMidUe
zTbKDA7W~#AaTqqyF=iNm_smuJ%E1!HJGsBY{3^m1j=^ni*1>%+=Nq1URruf7kGKvv
z>uG5CN!T&&+J<g8`;Kq-Y53>eA(mFSfcw|0GcafAb+0e*3$wmW=iwfap$JmnN1~4p
zo5TH$E(@gnwWN-S+rZ!JzSDk$)wjkm*~7Wt9IrOOmzbi=T;N|O?f%tp=bh<eH{dqs
zogAcny#IW>@(30maTX=*6Q+MaCl2;HzcGfi&-7Y9>nGS@`S~r<KA!AeQXk>cpy@zT
zpX$Q<if7?Nr3KEUzF%9vXqkeoJx#l3;16=C97{0$;XSoWr2P0n`2|?zdZX|PY_qsC
zWDO2ILa#{Lv(+@*mf|wj_y4~2ticll;;}riVL9XEANYW9jt4*N!YI%C4~~?(a9$ps
zIcX)i2>a@F$}7TGM&fNrT-7*?#~8kvSnf^YbMhNEn!=3tWi(dd%BiMU2e?2*@B9Kx
z8K&%c6>fRXSWWUHCimC6!4ji;JEvh~;e<?2cyH^V{2cse#(&ly*0?>dOYTqBmf6-o
znEH2d=_EX}+|3yQ|KfUE{|ol=R9n9b+bw#Djlw?EBAT%<Ws(1hpRki)oKOP1?Rqye
zsgK=MKaX|5vGJewk^B3ymL69(>_1{YPwMw#4_oO79AD?uPwMyG<?N1OxSDrp2Sq&A
zpE8<d>u}zy2Ek>-H_g0@+h~RU(9sn|gLtR>@&yUl$gCip<lAg=Qj&&KOl!U}!-gp*
zQ#|1O##@v0a7RY1pErD$<%+>JSTHxa@fN({U%%%Dc$;5TL?|pRQ`b)k_y4o+xd%Ti
z@}4L4t=RITEE>Ld$<kyUK2uyyodiEHt?(t^XP7_nLmJ#nnf8m+ueXl}a~}MOW}cq(
z$5{=XFGa9yTAK^G|EReRa+krMvu_0T!--?}Dc-=d<pvX^K9_l&wQAsUrTKMo|MuVQ
z5UztG8(XbNfA$x8?%oXFYIpGHf=gw08n?l;T^c`n;KxV)q<@9^FZ`HogE>bG0>8of
zU*8y${;a1V*)j}29MX0m{c%^qy`mA=u~Vq61&+0FUYmhGTfQ73&)Y2h#=d!YXO#YK
z(%<EZ?cXz4<9YV5Lzwi}jV`q*+u?b|n7`zDk#x6Yc;GN)76#J4+x+|3_+j~ZiA?gm
zRr|ZvxCj2VRk-0LY+;@rLGooP^)J1EZ!Er7VuOVi)k3mi0aGJNE|@3(25%-j$l_AU
z3M)P7Gme5kc}W|Q_=8_N<|1G!1#SABu(sEm3zuPeQI}JK@NK~xb=EN7tYxeyyrD^X
z!Wf?0^Tb#R{(5Cu-xSt8n~-q~rmQ(<WdMKHdmVTjR_NQ-coz1V$!|FcHyXOJ9))jY
zY|}G<2hQ=|JO<B=P$iv*k1|=-^1}Nv4s+VVYa3_|lKF~lq_CY6OueM7zzN3{ifUYk
zY0T#`xZ#6q`yYCf{C26AY_R29p&LH1LP-xNJFIneZ)Gt2IonWqE1dY2+dmw3Xf5sC
z0^9WSO9jFsXBQ@^U`b_m*4yyZqR8vbFq_+s0{rfeqN%4<(?*!~?v{vnc&`GL<R<vn
zVcMQFI6}k9coFlt`{LuVIdIU%4Haa*H>NW>R0Q9=Biu^ngISVYH6?IDS?!Sp*x*G6
z;~SW|jp_U^*hf3Jr4m+N$f+Xp%Y5}*jt02sR(<;b%(fD_)(A%yFQ<}xW6HbH-{6vC
z%+G(oUmdQy_QQOqRs4rw`3@I`S$MAd?1OLc=RbxM^KkdsnZG38^SPnS8hqixI(-j3
ze?yv$!UpHD4P#t-;nf)F%d~L%)tpC7aKP_r{;hD-S%rVi@YY+i*I41tUdp^=KHYub
zu_!yqH|)4w1CJ`CdGo_9W36#-;fQ5dQvo<v{_=+R@S2lHwg`Mv|2%UUeDl-E+u|_)
zxu^N$dJ0<%Uh2b<&Ot3?K7WgG-pv@MbkNxJ2EPAv#l#uTn?11e1uU-mQO*^%V5qwJ
z5|;352)+s5W=W1Lf^$kATKmGhhnr1Fe)aMA^}Dc-RK}G;SVZLV_xo_DOt)MKoUz;1
zEgjw>lXWT|W_TxdHVYOkJYGWbJKi2nD}-4@w$x_Bo2mZ#7sGt)8NyFsMeEh3GT4vj
zpl%}k^^I>t1-x%V^^0UUFYZ=P9eh8?zb*#eo~KmS0Q2<i5+Um$?QvD=FYxF<t0Gx1
zxhHKL?to36+GIV11(aySzr%*_Tk3Da51nt!48qEOm&ESC1CieH6Y!NVX60Kj-&RqM
zX;``{BZsWlzDG#eF2M!by5(d&_ci~Q`U>oLa?2En8!G)3X0gS1u9ZjO3!5E!LcbHv
zz1h`Bu6IcBMY;g|F5u{E@_Eeylr{YD09zMt1bj1sn(-iP5a}cl3~zo@HZ20{CD6x{
z^`U6++oMO|xu}#pf7r$F8oM0)VaHMCK$z*)bsJ^)!JSY1|G_l#eCn#OjQ7S_k{@+Z
z_=h2!IdO;58@3DWd1nkKS5`NZpEulO;H({-B%(Ip0V~QxN;|@jwhpS3{AHp00j}_q
zl?&%w;q$rj7v16L)C2*t-sMPFS-B1Gy~8X+*2CuAlRbCfgOLy0NO|{~zjXQVtnG#&
zQhu>7eY6mc)0ovF^|N#)ySN|Ty;aNXCM<l@;NBoCC6pyZe*PbF`Ue)^-y_RMz2Mp1
z>zkM0zxYF2B;Swfp8<s(&QlBhDY*g5+{%)qgmZW6`;+`S`;10rSo=)e{p+wv>ZyEI
zcwXSI1^K=&#xzs};0#k)XJ?qVdxrl2yi_*YMe^xyPhS&<?XK<{b%b}YM(aw#UMD(q
zufg{PA0)`bXN#0vEMeL0?Iy}Fe!sK(5*(D!o}~%D7v;u@2-Mdfr(kXPS(fKZk}t#O
z!etJxoJ;>`0;e6`x_$xfNn~%ZhBeO9dEJ4_{nuYzf%E!o<8Q-_&4(vReSVlQ@kxQR
z)Y<z;eV05hNlt>}*K8R{{R+w@29&}=iypkBzUW@4T`YqOOBrUv;TU!bw|V$9GaV(l
z{~F&E7%sw$-X=+R;rFecLA&hHo)Wg<k6^v751BjQ(DaR!N$`o&4?_>ZHB&o^GGNZ6
z-drJA@95v1q`z}M{`luG{BHYJ8uC2&WwB+a7#t-0CY3yY{<4&)>cRhZbw|B}lc*=H
zbl}Y9m$kL<<3A}HHn5a#&+|suUZmabGQ6{{>t#3GPo+E@0Y5DKA4&He&*k_20o<k#
zku9T;(I90cyRtq)NkU6#P)4Yb5t-3KLbgOAq>NBV$=)k_hB6|f<o7z?-=ELNb=`OO
z`;6<{=Xgg(bu&zPkfZ7$T;1?Wx(&|!_j_|Rd``|?oz&+m?NxKJ@b$XeFGziE{`*2X
z6&A`nQdkX3y0~tA0S|orFM#A%v>(VXfFEXTiuw%m)6qv1!zY9U>qxvf{^iY9c-*<8
zm&9+x-Z1Te0}RGr*20{p6=%oczt5uHlX_pzO4B$A?<{yXN8;>-DS4>XYNi)NY+~W^
zh|wl4ScXHmj<l~0ZS7Ve__2LKFKPdl3tns6VDYFohoWIcc^e%mIE-V#pUi(hdyX%1
zu&C(74>G^MeP3r+h0nbIYj_f#c1kregq>@-CXHcZr#H0Pu<%d%or<uLa+mLM*n(xx
zCpoxGdRSf$F4q(q6Nf8O`+k$_{cMkViNTA7qZ#CSgW`h;-0)S&rprg+sPB%7obZLS
zZCj7P|1yeu$$9AH#_$eHn6gjkWgC1aGr|5ke3a#5^f#D(|Ir5yu+Bl*OM~!g{|Rv)
z_`OH_$qBgk)0(y?Y{3>$Iti=YS`YV!UB4-0&A~OzN%_98`L91)7U0t*NtE|seys$W
zKk)rv^=(1$;r@%ZYp{Bz>a~ZkY+SZ3Bc6BSokMmA%&F{|!wlQ6+WvVAAABL4xCI_m
z_{T@`FMnB}=YsF%E?s;I&*yfxOTh&;k<|}iU;4-tX;}Te_xVKFj$JWa9)8qMc_$8D
zImrKqw72-gLfvzC*!Fz47EF;axryXU$Lgu;!kX3HX6dka*$-(WxbC!pJIS{asQY&U
z?y;3(e+MfVI{mbOpPi1DeFOjdbu8EhKK$|Ug*Mn-mBNkGFYDn<-)1;Lh&G$lw~h|W
zi&JptA;U5fUta!q<R^UI<9a!%k8@1!<y=?seccVOn@N4#EzXm~3;$WJO1J^<&l*&e
zf;n#7e?Z3H78`XlaX9>1!V(#OU;MW}mxftfFOQS@vOU+cY8Nav<9Rd~ZrpH|O%67A
z)wY$a_fmeQ*GYUncfl_a?i$@!wjYjO^|T`OL+SnJ^*yi=eQFJPUolrn)Kh>@y}eva
z>IsGAh%L$AE23`v7B>6MC`9fz_s)HL4g7GR!dnDB-~BR})RXrNPiuF=Sy7kVTH!;+
z_0tk?!NF&P?eKqji3)q+1Ab;ry~Iw<rsUrrPJgU00Lw9?q{zeJZbstc@T&ujmHXg6
z;rsW=`>8#B0;@7?*0sTY3D)bKG9>v~0Y}?c;4@zfVpZWu)2e)Wye|vKEPPXhf0mu~
zV}kck2RiG*V+C8C+2I?Zap799!nA!42fQL+GhhH;y`7pN3GaCOP>sab3-vU`VUtUB
z3o5WwUH&#X__s;VK5~D{Kc>a9@H1cT@1%d8vAvB}hdn;?N|65a+iN1L3ddYK)w>Ng
zRaxJ51eSC)Srdd0x5X7}!n=JUa>)3Y^Yjlkg@16lZ)Sll?+9%-f&b>c|3nA>_|4sP
z6Mp#J(0Uo;E7an}WmmXc^9j!^yq57}^cDO)OqII}&b{WOPtFG`yk;*9!X1K^ljOW;
zW4Fn+M%Xn+LYVA#gGY>Lzrz<J(pbrUxLf(3$QbMs8K_0hV{R1B(67TP%uMpX;h$y^
zJO0AQbIj?;`AeN?Pbm|g@8kZVMY4ZqJmKEA0nWl7_ojij%kWFG!LPzO^%>#Lgm*gR
z^O-An@Uy~)*cS&#dqh0iG9?0waAm5J_TbWbSR?^U$PKjbfGfE&ZXPDSJZsDk&u0v<
zYQjs*<{P%ae?G<CbAyN3`e@eheD8Kuh}?v`iVO=E-~;Y^ws^sN5^_7|V3#On4<GpY
zpo+*U%o_f5tPH;GxKU*Q)-`)@v>fi<doO4LwmYh`s}as!q53ieJ9_GWs)HA-eLcG2
z373`R9{9fR&!Sd%DQZ=z3l6>FU|$QT#7M6!z|TE|r$4~`A&Tdh;PVG!<f~zwj5<}?
zSn~6rZ!Q(^a6)eyJ>2p7_{SRfuk#xhez>?lN`S-*e%JL1z_y<luaNlE)-83Sa9=ZT
z&=>fufHUnbxQ^M*mh}Ioj<N+=c<r2Xa33t%wCR%qe8=BFcm}>3dHRhitR;6$Z5p<^
zx%Gq&iI@Mm%8d4<F?K#=2s0%9zPAw$seYMx3~t_arjzt<#ADNtb1<ES7AMJ%V|nt+
z5@uq^JkJ4B{+k}U3>Tb?_9pq2fA;9v!JUe0HKZP1zqpIX2j<@PTAai~R=AG^!bV@d
zZY1-Go!(LXJ{&RnT!PfcLB^`|hcH(Hl?$1F)`~8H@o<4&R<0!c;ZW0TB5W*5|8Fn+
zB;a;KHf&v+q(thO`_lpWT$t_CvOlSJOo!xl6v8`<KBSWT3qAv1%He-qOfARZc6F74
zYS<;bcFqvaJo;Lw7M2>|S3U)oMQ&nkfmfJ2%}wANqIYk$!CCjk($2tQi^CVc!A;V=
zpUmM8v}YUpVDAZu%~r7BJHG5`_)|>qQIdbA{u$Q{e9@`(sSQl``VZZ2IM~m#-~#N|
zzp--_PMc&laE2`x(k6bvQFJ!aH{d<g(ncg-yz-U17t9~|<vh8chY$7XJFvx8!>@BN
zd$Qh(V0bS}QQ<P2U%yZl0NZjO+4cuk5>sM(0RLp>q1^Bc=OsVA4M_gb*38R{aGh0U
z^dtDk4i9Y}_@MY|$32+O^U-lpc=HxH!?*D7egP{1_|dr}nL>E);A=W@cy%c9Og9|6
zSB6U%mgJ;S>xFqX>@*^Ad+T??zv1`wN#{vi`H~3r3M?7BvR4egof!Re!!>+g&Fr$K
zApFIG&YcNPnZ|FLfej1uEkxm?f?c5`u5?IPMI7G9_~SE)Pes=Ws>3uF!`|(J6ThBO
zQ6c&Jj|fS_S!EGHN8k_K6D;zukL9)(ny~rhl$(mMP3XyAdaz3CkxOdu$>jdcI`Gak
z`X&u{6Ak-mBiQR{#s?jkFErBqC|vo|UgAGEar>7l6WIF_JI`^rT2O2BI4q#n>vIAY
zn0A%6fK}Cf94+88=5t3+!Mc;Nw=cn77aObYz=ej>q32;CJM$NJ;ZIfuGPdyUB-*y;
z@W0I)g`MCEHP>IsF!L?m<a=;+63y;)czgfPM~`9NTI>J*!jU6=b<yw(j}N;z?D0N6
zL)Ay(+)pi8xM6zPwd^REsq|T@ID9~k_rpV2`msuY6dcmPB@qsrOItL{!W4$milOk#
z^VK{#_}}?mN%!HSFSyrL;N-K%%YERhmipy~U^Q!fDL+`h-;P-y?mlm$=L-AIMl>FS
zH<+J(a}(~Kc*|!FKe?n6?hkKE4>3IfXI|D?3xuc3(vwfaw!zZ9k+6*0wSkkcc=W;S
z7&t^G#q|<Qs~{Vn1RvkC9&QaQ*1ht~gDL%=CB?&ULsG*sVPh#>za*H>x$RsI+^%<>
zHxI5V8!{|_2X0g<yoS5?Qxp}!DkJT_1#l<Bri_m;i|_WNe0Z8tn!OUH6W#Zt1QxSU
zp{{}B<vbXRVdYLMyE<5IQ;10goK<+;q7@E*RPX!&ZqBdS-352AjBjj$A0_t+43O))
zL?!CsSBV;PBk<JW17&@1Va&<FDVW2@skaAiiM_A;6IOrhhCf+}&o7XAU=bEq&pI*)
z+lUA;ufhRai@wdl9XSeX6mj_Zyx7F*PuQvGLjx_$%rNs{9TqVDR>lNBv*XJC3p1Z}
ze6$%ZKgM&I*#YA*Gt)^Bj<hiMp@%~h*L#HF{aa4evcM}fhM973z(kxFiND)oJE08E
zZ3w0pf-{flE|a*K*RAi{VCFy9_Nl-^G3UQ3!G13f9g>Gv1`IP*;IzE!-Xt!yv_JGD
z9MG=%fW#e{MeWVt(_c1SI0&cKY^Jq^ONLsU_QPY*>tk2pw=GKFNPZK|Zy8s(;lN%#
zeps63exVP{$??cf0B+$9q6vmobp9r@!im(HU+%+FT&I}XVa{+B_9$3h`|VEBUcGJ8
z?a$y38(1UhVUeNl!q4Fp`E&UzXzwPsd!sMmqUpB+f8p;`A<}PPTdq}Q(q9hq!V85k
z<p=$=S=i*auxdGcbKJLT2u?isis}n|$G3IQD17>TmVP7rYReVXK6vD?!=4uSwnWhj
zGF~Vpo!ok05qZ4=GM=W4Wi0w&2gB*$|K;!9KmQXJKj9kPfp|RUua-GD`P66XZrGD`
zQD7CW>Hd$s1rCpRO|b@3n?CbsgTMXC)uVO9`~3-ld-bpZuiY*NI6&{(Vk1n^d+jDG
z?D=Vu<||y6B5KACOYS>xtri}y5l`iVv$u(dmcs1fVV8vACw|Vqv03{-U-KwW0v1>q
zr6u$2;#u{Go$#9$8T<EemCccXeemPTIM008F?Rl=JgjzE-iYMWfBbt=8~$PV>>Qcz
zPT6USdN38=WHrf8ug&y34ljG^b!EX9EKb;%!2Di;o@BnSOJ96+1O6>2^DG0tlm7O^
zZTPIAH{C0EQ&@4rU0AQwW*@1Sooum(!(eWU*UzHiqTu8Qk+9S9f%l{y@2O}#9t-ad
z@)0HVapi4qTnc<ucwLj!$D4<#Ei>Q&u|Q5z?>Zd0mWyE1$x=}-I6*G0s|42S)m`?5
zX{w6s>*3v^Jl}(1^Jej|8u$u-ZZWz4UmJOmZ?L<gZzida()IBgU9glx8^=@l$wEr#
zAe{bR8eIa+ThEZ$2UF@ZXQsp3nAkekVH%C`*w=8t=4-$I!uK_`=}3F>247XDb;9@G
z%C;>P!k;KVouz`Et7oc7f39bgEwaHg$Lfkc!FIPdZ()TUtgY$Dc>H>;!}b__O5ns&
zKis-$Yp?-)I<{SQ9JaW%eB~0%Hc=x&=7+C^e2_IvJ^t(K63lRQ`HerUtv6Tv4^DI6
z)8Y#=)ZG!K#QZCm;1{?DhZcBqGQhVl8ypORBTG5GH^M87N&yeylQJBRq@E4_yObIR
zXBKC7llfiVerz@pPR-A%;f3pzJT`^HDYLyjV(=fYHNO(L?o{(6seiK%x@_=EDAktD
zg-b<XFNu`Djj+u>nQST8;QJ@udiWiK>hxYXQ~T<lF?dq>M6V)zR4<Tc1b(4Y{+iS`
z$pEeF1-Ln+C-E@6Z^WW*4jz7X!bKO(5aGH&bshVMX-69)nD?8Q&pP7$xArw2hXp$+
zYv~bZH#GWa21imdPtw4tj)UQ6Vfma=FAliGn9|<{rrBTlj16}DUO#gQj-H5~;Dw(a
zpBb=+FZIRHal?IfA9bBzjn587La^u|0f7McYmE6zE;!=HN<a|o9lZ0mAbj8w*R2O|
z&W){Gw!*5BOGA&~jF{;&qHy06j@GAe_iCrdHduE<;%F+&R@6GL2h*olw`am9cNVbf
zz!^P7YT2;!Pj7Q0_&C*w%v<<X^VwTR;nc#em;!jATCCCpmcK|HS_TUVQ4Sr4Mf+CH
zRl>`kf^S&C#m9{_n_=_U(s^fK@u$YGT46!0`86B3*Rs+3JIphof0D%SEA&oI!Onh+
zNhF>|P5W&gF3Ybiy8v^Z;XJYk%LW8)w1XG3RpkG|mn091UxwXu{avWzaege~$Z!Wv
z+Wp36Bdob`hnN=}^`N<t3C`~CbqIjZUfh+(3rlk=XZpb7D;spUVJoM=^S9u?12P8$
zVTMInFIRY9>&X;hn8J6w+7n(=_l^*UgKmV4yAu~?tV_Zn2h{fZ!EMQ_g9<SJL!YZ8
z-$HEXe@d{SqjZ5kY?X9eSpzn0`P$|S7o`WK9fHFqZV26jEi-eX^x#|XnN@<|K!s_l
zqws6G!oY{{yq?miIlRW#SrGy!4|y1zflYk9H-*DyzmnCg;lj!dJ4ycFrpb(p@P_lR
zU7x}XX@y1);jho5b_Bwohgsi0hM!U>I6Z*VY4^N}hCSP#-w%bE11Egq;S#k$kvN#{
z?S|{m;V=hXjTrcYpIq)M_)s9vwl}czq0`B4VD?pa)g1VqWWc)*aH+A~n{L=3py0)4
z_(|udrViM%c@O(n__5$A{sA~H|2$0-EXR?h*bCR*?Y-6lGdxuF8-@Szr{AuH&*V+n
zOu&?{6OWPnlOH$zU50mw^k{a%?Dpq)e#6%D7Fpe}PSebVe{k(E&7B!|rM9+s5x%DJ
zV0sRw-e*cj;(}U#>epc<`c5@+Klj(6ic|^MpM{(Yp>W1|USYZ92KYaz=of2<*QK3`
zV1!49g?`Z@J|lPEpA8;ZJi$s0J7h@CZGq*7yUiHkFJ<S3_~2hQj5is`{R$}b1z?7t
zuyR&7>Rz0XEL=#(z)Ru}IkZFe!>+pmtVrDKi>$gSxqgA}HznLPJ@wKI7N7M}+X(0X
zyyRsMTYZUtLgLQJl9P_`)-PLzHo)<%YY$>z7RTB9<nv|x+bQ-G9-zE)coueIa$b1_
z+g>;nI}SffeHQi-RtxGh>W5YTlsFW^jwT5qUGSEm5!!dK<jQ{aCir^W(s(7zB{1(+
z15=vv-7bgUDhEkdz{g624Ljht&rAVDuzI%YXe+GY@%&&ed_rtn`YfE~+?xFywxLo`
z`3ZZpJ6e<Rr*LJKa$_RiZ|m(kAHlKG|03y$dzr(6VTbvbm-*rS3=$(`en*SH`Nsnv
z$*g@!=69vuwSgV5DTQdub(s0abr(_ixbW9NTX>pU&t@m=z1J!A68tRP;Ex2XQov<?
z4vx#&HZ2W5v@N-D8ZK-S^VtovnOxX)0`50nbleX=cuA*w48AzCOeYJsu4b;2di(B2
z`H~{+KCjQO1;3`Mx+f2NJzr>2fn_{GZmYn?YL9;^!Lf{CYzJY^QwLIH;bRmA)S56~
zMEeJ6SazdPlo}k*=IJU9Z*yY~(t=xNxgL}C;P$^w0*7I?mNIR!UZj7o+VmgndHkd`
zS&zIXJ}2wI9?|Q(WWAa>>K<+g^Oc0lv%qrdo~3%Q(D~7%e^?J&o=IjOBUZUp_6Iif
zlkU=oOAb{_PQj8LZPmuGz&CTP30U@W>%Nol1>U@evv8ogo9G$1V7q$O4_MXo_Jeb<
zO=RTqB3$Bh#nJ`#d@g>J#J|;^U2=l;J=&>9;o|3O<G0|AStde5@bjjP$35W9AJVQ&
z!c)@en!fPI3)=(6VV{Abth=y8hEvlFeB=H@?`YU6s7{Q;E9)|+V&SS5ZbuTgRnY#H
z3_r2=3!R1qTqGS6;S0(KG|BtKd3BRx*>H{K29G{CW7DmY95~{zQ5AXr;2%qjD}#3&
zVqG7AIX=$bYlIJ5jMDL;J@s<+VyofX>h~u}e>hS3(AUCB_Z#<#!RnFX%gykohoVN?
z;hqV;)Nk-lD?ztI@Z5u%h+#PLfnB6JEHTMKIR;zrd@(@AmtsO?1!WTYr$66_jHlJT
zuBPiGp5jR_2XEeeUUCcK&wF=R?1I(szYRIzI}PT~_rt!Xr~J3VGqU%}_rfY?tOupx
zypJ2UxWIOAc$($m${)L=o#4#=!d-f>Y=?^vssC%Iy#<cJF<(QUk@{b_MsxlYTs^kp
z{uSnDY%)3r%kVKqeTMsZPnB50!l^rl8sN(Tbe8vE>%>FBrLgDl0mX;#pvz4G5|{F#
zkc@&mcU(JA3%87_Q$B;0)?(|w!6qRa=aXSKhR{h;pUSUgC%l4l#(LTQz<cw*Wj}}a
zD9`_1gINXS0$#!&(zru5p+2fydUxsrJeK{nkJNMS%xj;@VVAHjaT34yMo@qy8RJ7T
z)$Av(m&jfS+6*gcr=^hfhOKq#zg_T-o~!Ir@S9IegOczAL5J!g`1F4_$`xSI4s7Y*
z=zS3;a`0SK<=a+Rg}0~YD*UzO?&A{J@Y|TZEiC{1p-w*hc6?-880_jK*h1=~9oyL3
z5O{@AI*8OqcmHgrPMGsw`dd#}<zHk%8+>H`lO1`V*`<5eXBd|BvrTq@WeP8I48o0z
zfu~5lTkHt^Or3)FujZM-Q*grTi{_MY4kKHX5q$Y;tsVosKgckTydP2vKJTZ6|A<|`
zd<3q`qibY>y|l9ZG~qLT{TDXEBD&27NIlybu4KF!e#y*aq5!`cV4v7T;x2obNIeU+
zwe949U-#JTAmfv1jh}+#2Yh(-m>+iYygJJT7Yz+(@xbfheX8Vox5TRf%b0I_X|_v~
z>jPh>B$0Y@vx>5k4Ys&ZWlHKvX|z|05KLvW^FEpXamMBf0<cPk!Qp<mpfFrq6z&P~
zJogRGwAeYa6^^?+ey0LHu+O4Z1oqy_8AtXff5#47+6I?bC>R&OUleUjCEx;HYx{gS
z>e8WUF}PARQ1li2T+a5}F1ST7S1kj!QP>zo;#0?YFOdBc->n^iB(ApYkSEzc^?sSk
z7Kg8E2TtCGV=1T-_P{rrU(>q7r70t_B;Rqix!4KrKKXn5KKQ}bm3DhLDeAo*$ycyf
z);tUMX?#|agIP>1&sf0z{TU6ia7l>Y7GwCj!Mk{E_(a2?wH{n~HbV9Y{3D8vUlUeL
z2xB*fsWSH;Q--}?Tuw8B=jY8C_QN!l=bo6t3s&~q_rk8)N>V0pGHYa)1kB?qz-R@>
ze|p0r0!Pd*#+`>#e}4PK2fwEo3cCa+%1jJ!!***0+ic)VWvoxgewQaCf$b_Blgg9J
z3{z3uczy-uj?%b9_RoqN%px7(0AU?pvVT6ix<}F;{&>?#aTWV*5wA_WuCP_AtML*X
zG(G(4I(+7Q!p0eRaJuA~8>}XiBsvY>`EdD@3tU>d_^=1wo%Ss}7@nZ~G1Ls3=`d4<
z!pHSK>?Com%5SreVaGH1TAeUkT)N*wIBD1LS_7OA?(7@|GmW%y*THh?EU_g2?-QB3
z@8OGkT0){>t&Q6g3Sn8QL_v~IHDhR!1GCtjV~K}jXw)3D$o0j$l4D`Uqt|vkhpQ4M
z9wozbbmkh#Fpq*?Q5<ZX{VwYf?EX^gRuQ~dZpa$|k6zrwTma|V-f8rN)dYouXW&(H
zuC$BrhLX0eKj1tLqtj<$zc4%I1$f{f$4v{k>xEF_9IRt*u-h2s(A4x^hqc@rE*yo=
zNQX~TrsC%<QjcGe^PoZs(Qgd!u3!IsA?HPVoZPe-;j#8jY~+6WJTW_XVA(boEs}pY
zL9Lh*uG;o?O&`A3efHK~c!K)uB@OtQW##BT_|0+NTwVALO<ko1{I})g_#rqWTtVhA
z?5e^lL$1GiP=)n4TwS1SqXpBY)+HOl*<Jzss&KGo)txhNt4X?%B7A&EY33aK;LPb5
zb@+t8O#L;uevf^l61->N?Rh)+)~OPIS-5uBPNVBEpOi+TG#q;}y~G9nFfl)=09%U-
zzVd)0c3!8IgQwl%)!g9JfQsT>Fz@2WAF*)DElxE-*zQL5mMD06<A=;maJow4P$o>r
zOZAtW7xuVlxMsjv0;h7xd19mJ%(gn1QE{)_4BS^^^7bpNPa8Hp20x-sNo|4~P7l+K
zz$s#kiVg7lFx3)rzR9K5Pd5Tz64}i}&OeWIsYMUMx2Eoue}%{BeS#)n`^5HdpJB;)
z;op;R+(%b2a(?>4II(pZ=6<$jM)EC==&1jJUw1^OG{drPfznjZvHq@gls3SVGy9&=
zz*ASQGjzfQ7P;<h@HNrFgCt*kfP#e;R{gH^s~T3=d-16nELvunkq=)#B1xwSx9czb
zDuEeIU$vZsFP)RqAn}>sx75tw;Ms~05}%(|nD&5a9mkoo;lPr!UT*NZ#o0=7zI^HO
z?Q1@8qx9*%Wa4+plwR-+pSJKA*tq}w>|I!Kr7??~SAWPD^7VxSvvjN<z>M=7EFZ!w
zjtWo7c{ks#@AZ#iuHcfPNASY2za`PILUPt$a{fKHc|h_REH@)_gxv3F(J!79INnX*
zTm-DV*5m&iezFpu{tQlbXEQE_w}k62g_G;GX+D;~hqu(Ik@#Tz_V^lj@};-)6WG+5
zpQ#=eJ@Tg{9_~t%`qK(GR5x_Q!dk21mpb5uNNwR%Snt%4Bcm|Ircq;(KUAQbHx6%G
zG>c1v>G-T4F2b}I$D0!2N*{-ROECW>GrkP?mG+Y&_B7O+YlrW|!CmjOc5uSJC-Z7Z
z`#zq@=iCZ&TUd>f_I*Fz<SPjC-E7>Q2{#({pWg+~&x%@-d_F^}hCOhL*!`DT@D+cC
zQaP9_M)ngq|1a1eEu{#5q>kA{&i@t5<#^TL!;=TZbKv{cmH`@Y!QBMM|NT5b#opQw
zzFgjtl83n4e@V^9;ItcZKa1fr3@<*Og4^n<=}G=bbpLJ(xH(_a=p#JYIlA=%tms*I
zr4-(!IMi$hU(J?z&<}t7*)(ho|I<x#9fI?YjYQeQIWgR^)R?a&tDn;^!LDNW@6f^T
zEoaX-!R3)FX**!Hwa@mp#H@~ClCbAxI#Cz6FrhV%oVPD8HtoL#uWrzfCiV5-=L51{
z@XOA$m_YdT`+3cqu(^lGoe-GX!Z61T?isvU^BC5yr7ph?=Slp^A?N8H-_PxFh1Y&*
z{fUE*wy~&@=l$1THkb(8IM}^%gxOg*q{w-CNe5@?6?lJq@a9)=?yQs4RT7sSFw2L-
zTDT9|z^5)AS1*8n?0-B*?ia+GW<$=)RW|OTx(sjK$EW`d{;4$gja+|%vZ9}?w+0M;
zKgjhwL;I`9dK?`;W=8UDT7p=X;j`n;wwCZ=)73??p8u!0L723^!3`}weysQVJwjwi
z`}<B6Pzu7$85T_Bc|Tk~9li&S>FMAn{U@AS=SJR7tQj(wF2aw)9GS`c&APM@!+Ci7
z?SWs1;Z^gcA#%UE&%XX9@F@?gUuWRp>vMLe;DA(>dUC&8g5m3z;in}jePq0x38Waa
zgOd%}{yPhEe>d9W0*?(}w=jh_{x0UY2_HF}?qvm+f7bU)gl`}Id;c^n+go@g1+JGn
znMXeVw@0d7b+F49)?^2`V!dwuD=bo6p6COMn0)<3&Z89`Ed8&)^`B~X)5AtRY@uX)
zG~_ngal<}N|KFdNR7w;D;5oKsUT4H5XJ~xM{_};Y;Q#vbiolJ_67aZd#{b5z;J&h4
z8Q4|6?gbgYHuQU*?t|AHMtn*Cd1#kO9fn_uQ-qWL``NjRO&cEA<SIr!pV7+57gd<m
z=Fm7Ryz|>~xFwu$?6one7k=N5_FaMdqjQ{T;ptcP8DxJV<-<Ef4_hdTE!>2U$8*e6
zzzsB(-R>k#?Rl0OmR~H~PR?J0WG{P>`t<aS#4I^KWq4RWP3jYO-5te8@Je1L(<Geu
zc#Jj*=3r!Tn}+v$s~aT10g=l=r2f79&whV0EUaE?Me<)LiGIn0|EoxF9)_7e8D+hN
zb8IggOu(fa^y*|k8!&R{>>#|wV($*J-z}0G*)j#&%trl3_JcKbY_#)m$l=TXJHK3&
zxZ|_{OR#*%o<%%NGsp4|+}RdV{R2M35Ti^!?|I(+7XRQY;&r=7dpIcmaUuIz)`wa#
z8(@<+`eo$2@sX@s2x;H3Lo8k7ys}t$Wtk23nLoRYod4w<+4-FZezd@UkPbdulx@Nf
zceL8xCHvd*^TS8B!?xNY@#MU6#mx4ND164;ae^JL@{3Q|313qarP>S!Q14_T^_kh<
zL5~N1n|+Ro)aR&gg4Uey&qBZ61Mn~I+$AyihTZ!*b@=mV^UWeK+ua{8j=)Tm-;?*j
zKa|Cv>ce6Tp(Qf#bHge+Qm+kfH_;t{TS6$8OyK@S2O)WQr$~wwsn?0m@-C~w8H4@C
z=isD(qrL~>p{$89QZM<qst;U)-MgOsCiDG4<vw9YIM(_9=R>l~jw6rYO=cgTk@_io
z;oaH$aOuh0<$mx+yQaDVIHKWOZU|gqZ91M0mxrVXg~5DLq0*&r?|lvF0Ql8AdajRf
zL-mHZAXwNy`CK)Le{S@A0#jVld|UySGR99og`ab~eyf4~HeRSpgY6{jSgK%)q{R6=
z_yMc&?HO1?mU*}cR=rXgISu!IE!bHOvo~rw(Yj#%ygGca7`|HGZpr|UZ<NX?fm0?a
zl33x<i+P1_;W_Vzf$VUVM%0c%*kIH9CO)|DG8^{?l7B{WiW~m=_0L^$e^-Iy`-EXS
zXIIy1m}%g>z5q;VZZ%Q^Yc~%^iosdC#(!19tdj1xCE&X^15|tA?y(V54|q^;=4d;-
z@w2b07u-uTA4TGseWSclaNJhI7bG4Z;YS$*Co!M&>w*1VR6c$QkMU(aZiQR<E#0zU
zdioE&BtEH(U+D$k@n`-);_HE@4}OK;xCvBu!B3W=>$~BHGgh6=Fg1mIelPrK_~x4q
zIJ@z>)=zj|zo4QKc8=V%dk&V;Xozovm8x|=P`cv$Jdr-T9yb4P<T(wT5zW4}2_AN!
znq`7huWRl63XeZ|+Rg$;TsX(j03TgyyCejc$b@ozfirq+4YtFH;?Z|Weh_DHloWi(
zp**|-u87;}wHy93QcqO{kE$H}A_s4IKEJsPrn0TeQiNlp{&{_bFF8yvsl#^|mEy>F
zsfnihqy;-JX)=-i9v0ZK$q<%Lx8Tc$#kRg)I0jF#SqJ670d!5u<}mNYkhEl2psjo3
zd3gKR2OQ7g{mN^{FT;LzaU${XU1rY%cCe0q@}op}tUJNi8Gdvp@AYFiL_gZl4X#lr
zycY$B%M1+#!!lZhF%My*ALiAe@cy-rHzMH-*<|xL*oLCm|2~|U$)}MB@9i#IAo&~2
zRYTI@bdxvKWd41=k?)uZx6zmNlYF+Rztkl#<*m%0fiTS{$H_8yV7TG=Be*I4@1{XG
zL@g(uTt9f(X>l0VjeWnJ%-?r6!d0eWey68<$@~o%r5Bxn&yF@uK7d_rh3c^0!20_<
zafQt1iyio45=`^CQ<FTO+st{!opAqB{IOt|N2GmjH|$zey_-Cr@6Z-MRXC$RNSQp}
z$<}}?8gQj*{7aJGp^}!T3;*ghEAoY{Te+h3;n&6X;{NcF6#3y3a7VM4JXz0!dsC}T
zVcFeEsbu}HW~*X54;z&J$RqE26*Dp`7vLjLD7W2)&j%mVu!E`7%vJ5-S&nTiPH@Z3
z|F3^`dk&ep!I`rbUF7{Gx66vr7vA~mxUCsne_gel#NVbq4g3!_vz`v~hIy_%;njt2
za919_3BQ|Cl+c9Pw6^SYhXdjipB#p*Un#qg`>DD!S4hM6%K63b!F`GJGP3ZFkJ^sm
zu)2%%QL^5|oUK=mhMmH9yx#%S_x|xug8vz7cJaVJ+g*;ofZy85YmxP9Z%az-Yxq@V
z*$ED~vY_`)9{lN4UIiC?iI=&y7!H+`Z)Sx<lQnZoVOnKLHFo&vmFs`1;AsE!qfD^Q
zleEEV*p4&y{U*4$qC>J7{$eDUMeZMaJLymZ+*3?%BM7U1Jb8H*PG@+0QVh0_=k@&o
z&%Fx&Bo2Swa=3O8K6P8@-5xmV0`=HD{3BgVbT90{xO2}R_^zHZgBpBsOROcy4=p=2
zatNjy8e5>fiS>|kyiE_zz4K%fH7wn=s(BQi{aAF85pKv0+<yX=Z?SP?fOGyPB%g%G
z4h0sm!hX5M{?_ov=9V8D;Vg!pg^RHH>3KPJ_(AD>hYOrIu<Hslye`CZgsg`GemZ#^
zaC`eM2{IlV{yLAbz(I%2pOEn^UKqNE8%_`&4J6}TLTalH$=7Aovkr&7jdgoO;j~{J
zCNXf}*4Bk>a2r(>ODa4RCCqaO?qb{{5C^l%#jYQL%T;e3&VYXu&)Ye`!LM45llrvf
zg8lL9@Vy{S_iXrfbK!?rIOffw9jSNcUdnerh5K5xdJ5o3Q_by3@S4=i(kc>n*=s`b
zFZrL1A?p`|zUD+G{BFF`ldKmhQbK%b@X)p$KgjyB$wbsD8@_Jb)i(rpx`o~*`MO+c
z`lGO4$AhXjaIoaDZL6@${v0+EpYtq#@E6|v@U=OKduBV{p?-n&A%nps2aX6Co27+I
z6zEC|VSSazAtrde{8YzVm?MeBhy|weJt0&E|86hS;DifqrzpOMoywJSxZ!F0xI2}w
z%dMYDf-rN>M9fF{wdJCh2>i;vb5}FG(qndEFMQ+nnRB)9Jv-`bMOg5UqS7e5x@7-I
z3+8<C@@hZK6iP>_3y(I$yd8(nb_lnhfnAoxsYv|k4y(Ki@WDKa@EQ1CUQMJUJi?<>
z^&M{f?o8_p-_4g{nTM^cg0r8&-_>(c2jGSVuPbS=(!ssel((?HbIDj_!OvIahW;VW
zv%dKCH9TdpMT#DA$-Np~>9BSIE89jm@CluECcNGIrx_cZuW{5Q6~62>q0Rv-iLrem
z_wUTC3f>BP>zrswfEf)-9fe@Ym)si3F!OM1kvM$!$VtOkSVZzsq7+OslNw9n7nXK<
z9D*a3yE909kz?BhEn<sAo_P2ZBSoeGEZ*0&BMO$UpMP`=roXi~ln9qoU3z;RwvB#X
zl?}Tnx=vh$4~890c>`<9io1EjdqpH7i(#(G9gp4Nk~AvXQn<JDUym>BU)KA(5*`~}
zS@4D>YKpBt!->=N%0cj+KMp!=uwrU~J;@(nH!0|VnJR+|LST-a(iwel%!yk~f$*3E
zZQw9Gq``CHDO_`Z=+-3sRg%gh5}qk;o|uN^RvIef;J+&&wX5)5*@)j!@P1ier8Rh&
z=bUOHeC*iST{P*~|JxljCHZgJ&131{SAMjK&tb-6Y~EYoACGgI6W{<Lju}pPU*!$H
zbU4nux>*FK{=%-G49m#3sPBN4Svw+L!f#tMWp~4tpX0J#z&90&lceEm>gSeT!x1MV
z!sX$TOWRqqU?<VmK@~XI;M`;t{G%bS<uELn$4^}ef7Wf#(1vxzyYy<|2G{I;2Joi8
z53H);>01rSM(}Eq-m50~-<RneU0D2kcz7$^d(vo~#0BRouKj?6o+!<k!t7^m1Wdwe
z??W3-!_Fthxc|UrRPG<G;1I5GnPs>#E?xQ}+;K(6jlvD%Vakrq1I~&+P`QM76Hls(
zCtNZ+#YEz(=Jzk&h4-ZeiLN33gRQnb0A7<&yhe+7k6!<XH|!T0dx8NrD>_v{@+C9=
zjB&%tA$s}u;3T%lbq?5Ad(|+8<d4SWX~CMZD;i1gPo<r;hv1K4y16OvnttmReVFZ!
zPRdKze#^OCy72EnTYQHJ&%>)U=nh-5+}!&Swy1x<aueRms=2ue&Rtmx4uZ#Hk5Sjb
zrPOZ8{;({^ulOD~n^Np#0nGiL<<StVu=2z{A66^8Gw>ab*l}K`9=<r0(mV@So7JAL
zfn$VsX#9ff4_aol!0W9#`&Qwp{x9W?u<hyX>WmqfKhLU4H@f5guTRLb!7J?BI_Tl|
zn|>s1ftdtf3$nsbh6E${U<z7#1!kD<YcY)g{7C(=HwP>%IP+Tsws<lc#RfN1?`@ZW
z1<O_>w!>6sFMW}Q!>%0B5Q2?P7o_cngYKPZk%pg_&OJQ{M}@{t?SgZ)<2R_n{fol;
z<X|DGu0Mz25*w@kWQkQmY_(x~iivO~I63jtX#<#NQ1q1o9N4>0*%<y;F0P^jFWWEb
z>cf?sKSck7+rnNIk$kJi*RC1ESAAwOP2h{7>HbFWQHf0cQ?PxDc*7|;Bj=*zF*w6~
z=B)+n-nl)R-2aii{kj$0*wLLv?oS&lJAM(?+hH6)@)dhzZ{CDGxoINwV1cUNXWik}
ztKQCru;r!SvmtQ1p~M{>IDd0NXBcezcYKcI2mO>6egYeq+*>~cvmIPwh=yytb?vp_
z2G1KtNpP^yq=y>p@32oX6+ZUjq6KL$JLdgg^Wlms6jxN>2PLyP1u*lIvM!Qe%H_EF
z0rsLDTi6S0>kd>`!MCK6tVsXFiCD5Vz&ASfIPHch(l}O|U>%RCLDHYf<4-iYVV6$t
zjr_3Ba>B|G{PpFo9pvA;(3&!9;(_<+?i!x|J&)uRgE5>Dc4LKn-frc-r&ciKiB>vI
z_#%I_&qetACf_mg`2-)|W4j4os_Ohjo|j!(Yt;?Tv9r-6{hu-My5%vfa+q6=^k>cA
z`Kbr+zql}KbC_5CfJqU&eUqN4C2VJY{n|S?iCf`|6@0E{<ZT%|z_3_k3yYlKX?PE-
zHaBd%4*%t|dC>;nR@^)s08i45&ep<tS6Gh+!&?s;D3Z8}!99g2c-{EH<p$XM{-YPs
zFlXXYP6r%GVHlGL_YZFV+6u26(2|OW#b3YlA@{S`Mj`MV-WE~uv>N{JDr49S*fmpp
zs0mJPtMtx>zfl}qt%r3oT4!@$C!Kf=a{mX9!-flBE#@pUa{t-6q~pafM*vImH+Y-H
z=_BRvi6WljF1SMaq1b1b-l9`)65f+|l&2on8Toc$9Cqcp7SsrfF&)U9A^8kDJv!hz
z>I0S2a3h1^bQk>1B7$iVUUl2lKLCHPcpx$l%a^>5pM)Rg&L3vKjh_#z`97M1GZn{9
zv%-ew-%>4*{0^n(+%UKG?Zs8tvR<;31Lk1Ow_bxQpLx;=z-i$grZg|{zDj*rfDiVr
zF8D$R3(yqXY=^t*y^EP)ovs8=A^36VM=4hL=f=4zaX6bjSbz(5G-&P<g>@_%!g%0)
zxk5X3!###Hv25_pKs6Q_xR6_ii36rKx_?p;zWF^(j2<>^sM?_lE4}<4xdATW=5o-2
z&jzrkP{CXucbn?M-<hNQNPdQG!-N@J)LrzD0{+}Q+ISlFj$fmshL>dJcx+&kAwHJB
z_`Ig7x|EmU{%c7yB;S{3>ftR|JE`#R3gSt_YqvaLrYmc9BtOyOXt^J3%g*Yy2(N!V
zlMw)0m>r*7f_XEt=kLSk!mrYh{$M`!r91+rX?x{74ObTMGRDCv*7-i8u<^>aUkR|C
z=;GWsELP^Cln&2JE&n6^`!m^ndnO$AyVzg?ezEcT-%5DyV!p*7ocQJD$Y;2`#`hJ8
zhwivqG60XKT`wZ>!cwQyVK`=~P;vxzAFcQ?1!r5T*nWh6UCVJ<g~j;XdMe;HYx+_u
zPxNQY#3nKy&J>iM-ULU<yo*bP@1L~dpo34|zF6=C&Y_hUWrQ`S4r)ihQN=Z})bP}v
z$@66X>Y01nZGh9?vNQ+52HpK{Hp6kf*;DTD`L;kmF8J~3W^+&YZ|nD3K{#+k>ds|&
zF2&GK9RAUvJx}UIwCbB$Y50%UTNMqsh(bz912*4Ul|}0H`@7-3y0A%!<QF-ZWq#?H
zA^bc<UO^E~U$Trbh5sELIYjF3y+~GHbC^DM_RT(6pUR`=0=(85^>G(0a(G9c4P26t
zB17sg2iN02*I+#ZZ50W)drfKB5&k%FPJq<w#zJ=IJ8+Irl)Mle5qefL5O(an|9LCi
z+d8-E1q;dh(*42v!5-}&-eK@!L{Q{1EPe8pf<LUaL*@N2oEXA6L*kD7NB<jy4?c-|
zPU0_{*i&A^+Vz90(QwS(dG<V5*ZsU^GJL1Y?AQaiHtYD895_8;cljguoKz=k5&XB^
zd;B)s*8Z)k96riwaFV>Q>HWOGQUeRB6kfOm?_GcMyAJ-a=-=WFw|X2@ZHMWfPWL;*
z4l*HPUGT5^LW3Ky76-fiApByS*TMmQboH#s2;3htUgHEuy&I34hAAWub=tz=c{2Vp
z@Ri4X?@0dmSq&}<FN|l_eU+Et5uT8LRB*IcQ}Q*~Tr%c9JG^yT@HKf~HA@<D<%DTO
zW(2RmMQ^W^3BYfali3~N^CH_i`CuK28@|_Jtt&5tL}2T4AMV@1E1dK6JK#r63#B(<
zr7QQG4B=<21-V{uo}zMyJ{;&pSx(yXzxwz70dRwLYyK1X*fq;|KUkUW;ePTyT0g#f
zxC(y!BVC=muZr_M`dSU24$q>@f_L@VPEW#zwpH;Yz&vlHi)Ufge^u$v;4J<^rwN$f
zzvtt9`0>zH^`G#a>%&H&u(0K?<x$uvd)0+JZ@$`S7Ky*y$3*7}55Bjt8H0n;I0Y`j
ztS$@trs4f6d$O!yLx$_q!|>K6*`hP>mnV5GB%fc^q5BlP<7%cxJFG%+bL<#QZ8R>?
z1qbKExEjI|kIxS_!oCa1cXZ(9(I;P8;5zAAHZ9ou6sva)9Jkmipaw7TYFw;`hu%|W
zE5lMB3IzVwKGclGa`5%pQCiYI^(PMM?So}Mo0WWk9f$NUh{54uFG5KErX&8pw!{7&
zyqcx(ow{&FvR|8!HQihZ-_>Z1VTU;tKYuBP$13~tXknLug~*TavPR5y26&z&u%G;U
zzg=VYP{MC&qN{4*jn_@$so`7aceAv?Ed0k_{>6Us%?Fj=9q<W3?JH#e7<@CBdj)Pz
zmv>!9{Lt5!^*^vx_R=W1-!<0V+BDwyKL5*&-Q?f1NZ~tA340u`yvYT#k6qs)3oAK|
z*a^ThRws8!!z(@a{v)4ne$}p24L(5qT1^t(Ua#As42Ryc7TN;~pEbX96#nmh$QIIm
zN&d1vda&CjJ3j?D;dx>8ad`WOM>kdB_Jg5AhH$vo8Ph}XC#i_*=i%xPd#y-+SbeQ9
zvx2|er97kof7@C!<qV7E*BdCo7u}YdZ@~Fp342I?UfsKXArKBa-MO9gH&bGR$6feF
zW7T6a9s*kpKZU~5((3_aynM~!?+b<<cB2r(m7K9+kKvWd$W}6c-$jf&ka&^#<3nWr
z9$B(1d<55T{JWEk@6S9PllS18dF!!mu+bv}*$B9_qxuDz&wos!c%$GEhCkYOU^?mx
zb=7bq#T#Q%uVQAh-qgYqB_AqDy}SBaWUUoGE9ufm=1Z8`wUG|EKK1@<l0V*k%4Gr;
zqfmZN>f0uXB#S9H-N!7J)I(bF&>w%`wrYwOq@L~G*V_6Iwl@+EB=xWHNvSo959$Y}
zw+GoTKR0plWP&rJKi87|@2?ZJCq-ep8L5wC|Eqn}!(kh2E*rWz96pd<t)m3@aW2uu
zz*Id>mI`nkpOZ-veCOd?B_sG|*r0AYob}h#_$bU=pdm%-3oo10=owf{HeWCw-r4kd
z%^a3{dD`JU+-0`f?hHHRw^>!dipL+!IKpc`pX7gq_bL>A35JaWIWn5yw#(Xs0Wj^W
ze!T%$BEtJ|A^hg@6}53#@-=PdTe!^r-q0fKJHGYI1ndwz|Klfo$S(fy6kN%9?93dD
z-wG4@3%;3}cX<*%_r%rZH!S;_t$P~Iq-ZGl2an|1kB-7owR)+PcW|B;ZoxGVhcr{L
zNWm>L8QZ4d_)M?gyWr|wx2R`f<4UOj75L!5p5@>0%$tmOC3r!NvFi`qTV*8uA3X4<
zvW^PtF#}_bwhqjoq@Y3zi`w!(G=c+f%<pA_L$*FlKMLc!de+?V;3OCOP55F}q{C)-
zuH?n48|*5|Imiy1jxK8W!g@uz)8zU;=6;g?aI%|j9m#L45Gam>5B<H-xe@-b{4(h&
z9DI6Nn;G7(xH6dte>)~@Ob5T&?AM$EhwV+QWPnQxns{Hq_hLRZP{K9)%&1<&DJzH6
zXkaIe7rF)Tf9+O!YxukyEqCuNhCk;H7q7$G?H+Cw@R~k%GwF}>qux5zaF=kn#sd7a
zyYXQY9Qw4_bPRr{QGKohF0k5HJpqRo@}~F09uGBI2g&tqj~)!cf4hqgjljLRBb}4*
zG51P?URc7(?86UOSo7eAepvl&Cc|%-?xcE6C(OtrG`kFMdsd*-16NcyDNy=ie<f0Q
zq!p(9IxI*7FHP)u*AAcVk-NkMyLE}yeSx38W0hxvH$*&Du7Ndmt-W|*o_}H5m9U&p
zz0FqmyF67PIsftF*`6&5J8$__Q3j7c3W^kmeQK@umBU^0eSOlfH~%r!VmO0Evq~2J
za;!4D1Xgd4+H??B<jgF33;RT_E~>z9ziyQ(go`T-RkYwol$3J0u=S4DqPp-vx>*2;
z_gCfovxE~EygWX@JnRNs=is3EyA<T}zR_tvl?4AdrO!ytr*vD?)l=aI`)|~d&#%6G
z)3ORyohmFR?VCZp!My@*U>Haqf{%&EF}A{YKZ`#74)^<ui!{Mg)}<TB{4$w!u<L?P
zJf~SF^QrRvZ@+fffl7T~3I46@%P|hO=mod^gFR1E?;e5OtVE;8_#5(NF`)HBd#*Jl
zk?|MY@K}xk?$mW>C*!YNrrnbjey7mHzzF|WWB7y_-Z{T}k_DbpZrULLzg%otAoru_
zHf0fpMc?gfC*yxLr!!s#{&fG^6dA7?GlSRUVdF`D3o>78skXmUg)5G{u_5zWGAKDt
z13p`OLxRlTNyXH%3$SbGqyU+J%GyGm=U@Y$(-dU>Mde0ca)j-2MmLiAH`^s_=nMyE
z#=DdJe!jC&9<YzWc7Jle__1LxFWB8PT5=1#rmrWH1G8+DXC&|ctSNDBFJPyGG#*lL
zeMM{eYnVbZ(t@0y7)R1Fk+|owT^-r4oX(LqCh>f&g;ytG8;T>((qN6;Rsl2kIj8ez
zHXMGicEJUHc`xlq3T&zDC2<GlHolr&2Y)PGk|p~m6KSa@jqtYXtxJCJL8*`L=3omJ
zn;#*t!tlR_pKw}L@>n9AcyQ|}#k*)<LEUd;e|IHV-%$?k*G@^ug`>INK0FDR6&{N$
zgr|M_(v9KLZU_4J@Yv_YISaVeQ>c%ePuw<hIA#P_Rp=UY!y4XqqEEpOTGgay;E}g)
zhYaC`eCI@R9&xs#Qj)~WC)RI}^8<aKwqSjD{)g&!7Wkr1U-Jq0&kNqKBJf9@3SJWT
z(X~?A0XrW0VoBn3)|)5Jzzarw!Yc4JEyq*m;q<bu%SYg#v)l(<;defVbChAuKA)F2
z;g0VIR}K^RMn?L>ZNXLIYOt3BJwp(DouSx48|K=c+VT=EpEMjN?d3nU!!jKnT{s^v
z1BX5o(tii5vlQ1$!OKPoJ#S#wm^%OMaO~ZG#no_r#QQp4_&a`x_8Ar}Yr4w@5A=<x
z*27KT9iFkk1^euC8ezFqvr#ViIbZ(6QJ9HAXeWv5Fl$jyz|keN&Lm!IaA){0?DXtK
z(I!~Bck79Dc$<DO6^Vymy{k)?iT(R9Gw&9d=hS#7H9T~5S2H6#Z?0Rv5#Ah>^_>Ck
zsCsF^0K1#lCsM#HFKx6q;h=;sjjI?x3pYfqHpAKx8`US_qs?xoxZ(4~ex~DaOF{w-
zi5KRLde_6E+;TGl@Ezs$>@Tnv-ILq=Fw2>xiyz=%nQu<p;nN|uUM2AMFlqr3Pob$#
zBjdeqt13H*n=)yXCBmn<H%OEF>0G$8=ONtmSXopQmX};S5(ek9C+BU0&slP;--UZ9
zTV6=O$LsEL`oi;c@t;Iss*_dzPVmIQ=OQV1pU?g{d$^tN+JZ2w7@F&O6rO1b{w_}P
zUu}!jgE@D%g_HQ=d5_Y)u%X^W5Qz&}Ot<ZUjh|LOC(rw)TkMD+{4}X8MiS=3AC=^X
zm1>Vjl6;1NT#hX;)#}M#x^Nm(RxqijtbwII+VGa0jT&pHx30T#ZB0mg-Oq6eKKX`Y
z^*Fgc@rA?;-2QvRj2UeA>z~>*ob~&~xzq4~TzB9C%<uX@*B0KZ=JxI<oF63j{wmxX
zb!`1NEV0J>+#P;>e`wbn>@V_#%M*@Rd*`wO+w>GN-Gwz?uG}N}DY}BQL9m@{0zW;T
z*Oy_-=mR)a_M0pXY-d<&@)#b|f91{u8&$ngON2Xfxijcsnr+Ux$*|JU*xV+Vs{3ME
z20VL&a|6le%AE_&hS!a<qDXuFb(rva3(Ick%;teF{K%avfO|#~m&khIxie#|4F0;|
z^Cr^X=@wfLeul5GZXF}*g`otmOg$WIr?j>YW~rM?YJ?Y5DGn>c{X8>II^dcOycP%G
zWg5G)gYa^%u)8^I`ONA{H>~5sWOW9{@15fKPFxzq_5eOllP@#`+l1Zt^9U|5Hc<Hm
zZ=sHztAzy^w(Cs8m-xcE8{lqn_FZ#u5Fgc*0r=PFe)&n*@z?yZVYn)?A(X^j{t8I`
zh0~)SMUnV_*(~hqF!S&|j~VzLt4|WC2foeP0Tb}@9fuH7Pkw#V>Lu|H&!Q|zJ))Ia
z9Vc<#sQ|s*u%5@3ZHw@}K(1U;-|2P~?EDF<jx)rV!I{55#LdG0<V%MviP_Jklh1ol
z=~az2e2>#>oy2z>u1)fUyPs^?NS^QX_Tms9IM{UePjbJU?(KY!V5U#+m&akZo11AO
zV11gYqvZLXhVSfo1vl-qI`kWUmZCJD0XL{*Mz6s=och%ju!4_NDv7h4QqQe|J$j#A
zrFez&&-S&(aajGG_yv0SgBb0^2%I+dU)u&a=VH#DA8^y%vVJO<PWC1DEX=Wg*oYRU
z>^XUE8J=0AP-cf^BhQ4*!$-=cvN_<sV+`%9@QLk3Dg3agCGC$T__fP-PC<C#=&OAc
z{+NFzH<`p>|C&_2HN@rRGd;y&=Lx;Xw20eBDLL<fjhj_7sNgO-=P?=BTySJ=BP=jM
z{Y?S(b8TT@fS-)uPt3rnzg!Gi;laaAni?=?!MTgfux%sT+e5IfHDxvjT#%FeQV*tn
zGX9ATUjHuhz!2W{OytCN*tq%sIJ)n6uD(AG;Hd1q`3fP0s1z+_mX(o_y(!5aQIegV
z5kfKwMOL<u5s?wHXOu#sg{b8By1zf4kJtNN=bn2$_jAs<Qd_72jK6#8$PaS`FmD*a
zq1Us^_rrDzdCQitqJv-OUih5QhJ_6*{gZ=P0uG~%(RYBQE_~fD28R#7Z+C>nsl#25
zz;&DHPXdXYe7!;x{%rA=I|SZa6ZuyXUcF_%*AM=<-uO`pma}WW=MR5k&=)@g%k-GV
z+=kODd6iDVEOK||Vqi&+VQxM6uaxL`B21-~diVm&Yq7I270!KL(_{rNm^`Y;f&~}6
zM$F+)C6TGQaJ5?8B^NlR{6K6W{N}Z?pCf$bYc6RC+}HQE)f1j{SNT;5vp0lJxWQX8
zuddX<J6GuiZ@?$zu2?j}H#8bfc*74<min7vy$Yp3f5QL8ws*j5H&*W5gbm2pPj<nT
zOrGyTVD??l559#1&T_2>!uIQLSw~<^UjEPocz*jj^)#IQsPTR*9LSUP^*wylqggZy
zettmh<04F>W+MLpuJ-inT!D2M4f~4V+$hneH8}tHmrn(7S@Ubj4cN}jUZNaUGxXlS
z4Uds;D3!tq3r%!8i}C#~_+_989t?HcK?7S-U;Equzm)G-V1Uzi+g*PHKmF)C%?^Lp
zUySX7yN3>3;DR|T%|`}c_05@c{BVfz^l~3O>z!OH0Q)RnkQ#&6xYbKU;MG6f>cj9I
zndU?Z_+x9y_$T=IC!a_uxOM;D?;qe-NB+8;ghdv}0#;%Ao3b~K!1$|2SAM}%k4cw_
zdbKD2O1I&zk4^7oV47Oj_P_A2{r{a(f_=VKK41&O=XdShA$7P<dQSy2Z0j%bR}YQ|
zYwbS*w<a5tYr?#xW_8jqr!V;z9r&4^xSBFN?KVDZ1ZS+qTPnegL3i8D;oGsMU-e*)
z0EY%U_(?$BE*+TW{`o`paOfjm4P$sadh@?)u<Jtab)vqx;r$&SSeoxpvni}sRuke6
z|8Wl*F@pQu@_q%v4r4RC)-adOg%7cC><1rpqTY7jxr+(#gxO$%EzHRB-}zMd3@dlO
z6;bca+ISxpe&O-$3e5L@vEm_oW440)GW=z5eqSz3R!6Jp0=M6^p?VJg+Eo*G33jBt
zdb1wBK0-6<4Cn2bH0y_}9wc%Txj`0N^(f3g8TjoMe8y+7@Ev^na4z{x_*iBCi78lY
z*`Uz_zAx*%cL`p*lDy;u+g#HvTYxK`sO8wf3;TJVe1*CC?4A?X8$3fIwG1;~<Mtr>
zPhn@9=qk*ka3sP2u8_&E{tjQzT9DU*tNQJWHsI~Xe+K7a(x~$%*I}ol6^z9FQjMoL
zv<0`Sb_mPEu3ew&f5Q%YZ@oJX?^Mh#BQ3%2XT6JElY*)K1<P(DR}nZ@EKa!NqbMD6
z4|}WeeK4J0TQxOoE5UV_55CpwTEqm$KNra7ft`10pJafm=EtpA;cF+({3is@vwnI+
z1LwTwc(MonGm~Yy1LlzV5-tq~9*)cSjqyv7?|kqeVZB!!v+$h2wh)n1iZ)D7!*~5e
zQjWs`v?Rjwu+z2YF|sg&){j$j@bAPJ?$hwK@Y2-@xaUFb#3h*P_kTW}@QeHY_O?X5
z@XVnWI9Pkj>?+)4UVp9;PUvm<Y!CnV9<W^nkF1@Vae;$-joB(-s&x`4CwS~N-<zj!
ze~g#4Cw%(+uMbaPl@yYjM172LpneMcl~U0(1Rj5}nM^$2xMR}O<6xa4>OVEa@jk+j
zBjEZEav$qpejyj`XgJaP+JRPBFK|^T6rR*6U~h-T-`}Q*gbydO<&MC~Cqvfn!Qa+%
z`}$$AkfAGS@H6dEj&az$vsdp4Y?EoII0$<R?R9<xkLCTUcnM#XNV6$`0|zQPiRa-H
z%d_7e!%Vgz!9@GGCM!P{!w;lnQ!8P<u))JwFpU%IN-(T>#6u<(CRx=Py$y$@A9$S%
zJKo(Le+w2pxKN%0Yn{ui_kro|X2?B+yX~)fxxy0$iZpGoUHrx@@qP9|;Oo5>xH$54
znh{(h9um|CKN916r3<J0Jizb<-g^A~mO4CI`d{s?QjCAES7JwD3iYzHJ7AjK*>hqr
z$$&FAA1wB!{v`4JA8E3c#{)|py8n{{u2zrrJr2u#2v((qdt2BjrD1K7OJqCYzFQhU
z@E_AR6?Z6$|HJ%7@_XMcd3e-b?9&?jE8vg47Th00%0$ess#bj0&chtfKD{R9XDT|W
z?~LIV$!DvxuyY-|qanO!>|W6r{FLl~x)U6`TDsf^GtNF5ae#N7Ov~$lLnj|L`@ltE
z=lWY<*D4OpYw&69!;#Nn&WB8je(=0yaAq~!wiViY15S){HY|bHOPy=O;Rm7A!TGQp
z<;>aJu+{Njr?O#T<vgML@WsGR-xT-{3-hxSSZbj5XdG;6F`1SJPb40*h=gbRc;qr+
zhBb;vH`rcYPMxTK;M?x$2|H3V``v*p9$z=qg>wSu+>+p?xED^^a8#hlzXaIXqd=J0
zU$BacqKbx@oNbxZ;j!`%fiU>Z<gwtB@YfVA4&r<q+yN=a;EDC_dZPWN%BNoP!n6u^
zp2fh!R>7nH!3KKl21Gu4`_zsdaKo-Q>O>xME0~j5&kM-uj7GwAr?2+^!g}JR&90t!
zm~y=I(<=OjFTyAmj@?el`~pu^9@9*Q$K)p~7UAWe&&Th=j&E9>X5p>XvYIFGl|6n%
zqcC&+p|eDPEuFW&MC?bcu)IA{1m}Lq^d<JI7F4xf6~LnYQAgWgx4*YbYTy?MKg=6p
zF9}kaDp>Z(JC15te5HY_3l_?<F(`(sHPmBz;1+3*j4F6+$8_Kz{8RK^c{xn~-DPbU
z&ij`0yAD3QcgN=`SW~B!p%!M!N;R8-S(W=PHp3o&Uz}TkUpkWo67|E8rq92@Dc5K^
zUc#3KZaw-()JKc|AoeFzy#zT(pW*u~@5qT)a5PH=4JABfb4HV>7f>|wr-ok@DI|5l
zY8ERVOfc`LN&&I|K^yW+;XnARpXMu~KZ8otjtRio&F3dR!P{T2Cy2nQr_YrV>pkWp
zV-JX&OjG?n8SdY%{YgxFVdg=V_tdb`)K?x}_*aB_4;}0}V82rkRxCMZLX3}j5tdEj
zeCL|wU5WA0tDZU|0Y{A=`$wz~f9IYXl7c5si?fKpg?V|0PQyo9*cRkryGWzGN^qs|
z&aE@>N!EX~s_@A7l}Ii4{-1JEZ8&jaB=bBR_BP5(2afyG`H9#sEIOv(U<7CBl>8y~
z2jkOur%m9X>?{Rhy?Mib=&dz8YZqWZtVfO9tIpZM1s_~8EZ~1{olZHzdTi?D#D3%K
z<Vis{_(|<vd2DUTamlZ7_`tq0fAk$-L+{@0n{e=8--jD8|GVhbU^w7O)`mCizwMwM
z1qV79_7I=%l5gT?6JQ^YJ?~>+hd5#JdvJaDl1m267y4yS2Hg3+IOIOeE=%&`F>KB+
zomCGrD!%zt4D;RnUQr7Nm@U33hb`)g6*}Qn+vhKz!$SVH2JLWYNYAkbICNevqZf{$
z$~@2t-{SmH)(w9X`x4#-x4-ZY`v{+4V@V`(kN5rV3oy%fhi^nq9bl?Visv(V*dy{6
za2M^?ZVKXg?YZ>dAl&#Y@;<R%a^6}N?tv9r-`&=OFEDZ6?}ghBRrHv`-ZY$f9q`lw
zd94N9nXSl8oIkyOV*4`eNq2fL@$==m4=g#rM}_TEU%@BzNhLjCrcteu8hBwYmGU|)
zvg|Eb2b(`~)e3|S@?@0q;4?#Km?Giq!xlA9V5cLThQ#{EWK`*8HXN|qKrsp4{&?wF
z4!rXIP$aS5;b7Zo7z<w#pH$C-J5u<&<Kc*enuKEbrOLHmUNFOgtL$@FvOe-EF&+e{
zF5D*OH;46w0v+JoM`@-Va89e#8Zn+ERc<~a)+;Li{%#ZF&1XCP4zZru^_hQxsOPq}
z<RRu$FX(4~*udly{uIP~>r-0aEh~8S@`EN~J{CQqm8c6(*Y_q9_3zG@P+o*B?JK6f
z!0KvjELw2)&DR}Y;ljP*e~5bX<%EkQnE$cy%<R&DZC~ce6Z65}yu8E2@l0t_W<qfB
z&(;~@cs>U;6=MF`W6Sl7_&jA;zqL_;GdU{ih|k-L0}Gn!aF!$~r!l<B5GhEk556!v
z(-G}u|L%I6SRd>%zZ3ZX>!H>1C)NkN;YG>%$Sr6B^ojMr#+y!RLwGjdBHbJA?bBns
z0K2hxhTVWWQ{5tn_A7Gfy$OPMc;Co43kx=R=7hsfPbD&|z>%sKm*QY@4wl{W@ZfFh
z;k$6F*@1XP_>Q;I?sS;1An(2mENrYvnF(tujRzC;ruxjuCGdV<jXNjdpiS<;GT7-G
zl``@CDatSvor53D<jN4wpD)@Pva|59oxg>M>$$qMtLHoXb|Zz`6y8npeRc(=IRBfB
z=#Pt8IWF5U&Dr#g%dq>;h>*Xq8~a&(7kIIm-iR$6?~~HLs9l43RF|EY;b3#eBfjwK
zOG$qO;J}{7)1L52&e~6VVNPk1GNS(Pkr;6a_|2F5uk7JqhwdFm;Z5zalULz?R1ei;
z;KGzWXKi8H*aj(C_|Gl#+Dq_C(%qZNFva|b9^!tad9>(gz{4H86^Q5O(SNC_`mo5N
z@p(PC_hM0qA<U?e*hGw<0hQ1$OPFf9yOS6{<>!*CY+$n1U9!Y@`7g_P>neP|?S!g2
zd|J_O!5RL+v6xHbjF)#cgu$<GvXl}z=K{-<NSKBF{S?ukm(MNTYlZi}+?Xf&yN3N=
zP&<6fOU{&N?}_dH*S+wryE>PM@zd`4zTz$H(4IO@jGu<qsz2kfx&Gt1^Kj_9)=yJ#
zAI*v((cYiQsp6mD1Ju8)iShK~VlL+*oTqSlL=7JFx?%AhzVu9fmKaY|6Txb$@Z!}l
z{d2I5l~Md(SbI<CmE$nOw#{X-2+V(zXmyD1w@7oQHD-9Bn?*$lzMDWp%?R&ze{zTz
zUjrY@@A1Pt;^`+9;NZ`7L4xoh^7&$-USdz&YcbgA@Nf-rKDw@?3JKUhnqOQFmb&8b
zM;hMVM|121EMMdF=>*KMOaJL9c(Fl2TmkN9JXLuV<||X=JPW@Z>3u-dCyXrT>cd0b
z#g8Rn^_b;2L%6nT^FJw=y{Kix68`(&;9lbUe3PQ7#ReV@<4rpRtHvf#Il^bnRv!`H
z|Jt!}tIqJG>VB^y@D;i_hB!F(_xD=|;A)DQ-wE)JQ2C$4`EJNo$lr&1a>=*$!Jnp!
z4rIWG%JkhtVd+~z9(nLa=U@mAyfe;8wGdA2j%4J9*Q=Asa^U7(av@sybGh4SKCHj+
zvV;m&TDcdW4Rd4_4KHJUb#{vHbP?P*b<KJSw*4-*P8=VVFy}?g-yG(ay9(eJ=h#2L
zga1<YGMB@;{{$(B`C(z#sew9}MOfRHm>;^u@o~4p*E%;sUct}u7k0M8Up<62JBZ_l
zy48DOgYXWr7FZ_nuJl_tr2OZ#R+wqOkKZ`FeC%#O1FRY)V?PDInQK^Wgo|(QDftLX
zjv4+V=C9LtKBO+d%@o1zb#U+Zj+t-pZbz=074WZ&@UEY*{k`;2B4?dBmPH$h{ctmp
z_e4JJ@GFu5{+4y|Vl`}XWU`+Ft{tAXD22IgQtP>4DTk9Pm9Q(ljhYyo8D4jx81~xc
zm6CwHMi<+NdiD1^Zc4+^_D1iC_08OAVHsH>7Yn+W0h2Y;1uMgXe=c8%gYV5c7;3<J
zH8E4f`sBfaZl*rmr+?{N2+U-g>uCa?ri-v8)+f8Z#@5-uTJ2w*0^koxNAoVhN+ith
zgJ9=yzGY{aL)3H07Zw?89&v*=9@h>K_2mQi?1EsS=d4rL;q;l~+M)1+M<FKy;meD^
zgfiel_F)BLJvTOx!jKK~_w5z)hwY>sA3THY#axg2z~r+u;T3SxW(yCo9yES3&DI7V
zK20u6tQSSt{75=r1JOfiL_NptOUiw)`IPe`H@NB^ndAUWaz2H_6IOEl;xhqfW_ijO
z!sR#52+qTsTKXOOaI>WL<TU(Lw|-n1UXrwaHV6OZ&bf3JPWj{NFbT6zQ(iv?_s+S?
zzK1Or*LO<6`<iZTjKRDn`{^ZMcDv2@ME!W@e`#XyRhJ#<gRoEF(@J*u<tY=BDVV{x
zRD=sQysh`}BV0;PDnkQL-WT;=f_Zn)r7**Ki=5|oMqz(s%%Xe?`vsyDYBY3kinirG
z66AMi&*`wi6nb8VHjzuM<jQcuvgf^W{=l*(4}<yPLn4V)%dprtBST^MD|fu;H&}Sq
zAX5UiUrjr*2s<Q}L>z`MUcUEu38q~x>N^1|e9Nqzg7@v!&y|Hg^e1M&ho6e*9npq0
zvy)SZ<EI%(R5jqAl_>!$usrqeVKbOvBtBvueqy5CYzh04nKS%{_Ro{tx=SC8-!EO~
z<79<<#TWdT;16}G(L{fZ1dX(E!8CjnNer-wo@@yZeB162712L}Ob6G6;KC+7L85<{
zX!R?_;Xogsd)u)273IHDu;b(XSsSo>;-gQ;VW$~&R-%6bjFQFWVYOSocvj&(BHuWa
zV7KGk@$2xq{s;5(@aeP7sbAr}ohMbb;IFL|K}3DonLQ&G@Z*}tkwpLYdU!Wm!xFc;
z{t@*tbq<tQ;j<@67>WM+yG}pl3eRouhs?pVEjxs+!>5`nqlx}K`1%6<P539tFv$!&
z`S+ZD2+V){64e-7^f*B_3|`&{^_zeN6~k}G!tJN--|2y;u5g$n!FSiH$%y@?zzF(>
z4`9FLMxhEgKc7N9ALh_2Dt!jWaMJF~hI2#;nu-0iD_L%%d2nKWhDJ6_CEyXC0W)4r
zF~183#&_7|z=k^$KNI_Z(|g-_(_ywhWIJ!dajPOzM7|!dZ4nHQb4r&rz)Aa^?TI|x
zNjJR-p8w!`{5D*A(7a|AZkB&=!3|!2R($O<94eH3;u<^`She#H?0IcNp4g8p$?9I&
zf~A*#R}%F{ll!E|W3c`b%q#MN=}c<Xcfem|s*?QRH(%?=SYW#KT^Yprp4be(WQT>r
z>6x#?$)`rC`QVWfBW`!NQ}^rY9{6R8)g59#H16*AQ=%}X(UW9izm!dzTv!~Qoql`C
z8@4N_RnUZ=s?oW)!WXXy9Jl}%-r)W~obQy0pobCsQ%`$|*q^;oDQ#v7x9l>raE8w?
z9M7?ZZ)x7Sd>QVhQ@wK;<_<`kxB}bvstvio0+HOSdT_Ot<6R%POl*(60lf0ebvyvR
zdZ;<>D4btz?-&cmoviaY0Ux?{<98;^&CnMh39A*k&OIdRQ+rm4`h)4$#h$`6>|b{7
zgG<KEwoBo_lute)aKDEAxmq|*?puHWd|3bDp?Ww^@$;$>EOp4ryA?il`NvKUScE}J
zy%V;vUi9IDot)(p-ohue=fY`V%Ur5UqeQMa`j-xV7tT>M1E)OpJW9N8xYD-5v<An`
z8$Kc4M|3^kVYCIuZp)Su?<)?*cPo(G!Sx)U@PAL_UAryzz{e?KV+Uc+A4QV;;Qn#1
z9V2jURm=5*@JA0Gme=t1QDqG&SW=cGtP2kIGfO-TXU>S`mB5?I@~2c`@&t13GT27L
zB<KR%l=gbhQ#h%F)=>`*=*~$hf|q&rm7Bt9iZ&1OU|zxDbPJfoYjcChJ41!seP9Wd
zVv@&jmi>T<FWf!uxImn5pBee*C|I4VVTSm5`SSWC5wP@Twq7N?Bi>Ot9yYE1ah`ae
zGdfdcb_doKnQVFiU$^MaNrrhYi`TZnS=`KZcVXVE|A}|N!5w?a(qaFc_M^>kwaDyJ
z20XXF^2tj$L3T~@F?^`cw3Il1hf*<50sM1NRj3h8X=$-3gM+GacwWI&*_1a*;2Wym
zUwYwfZmr}#Sn2He+%WurA*Qeg79Jh!o`3_#@=s2~mnToQ5%=pa&wK3&STRqbXdVuj
z+?-y5H_D#ouE68Y2i6u~dxbZo#QUFl7v)aUSnPky$o&2b7aaAN`G=hT{nIm47(d72
zq80ZeKPb5O7$fYXSz@#o{yb&N#|G=Gm(5GTZu@3AcwjBV-YrSEg-e2jcz=_w))S=&
zKfYSDL5zR3yt!;Sc-eQ%Q4}`yoLx|Xl{Ad(4#Njet^PX;zr66hnRtI=%l2Ww95$}F
z_MCWsbBX@zq6y5dx%5y8Zl0O)c7*@cc-&WqFYlj=xdL-MC}+@wT`r9cy1`~)GL-u8
zL9U6<&hWRbfSbhU``qm}hrQvr%hX=xFkeoWvL~GFs=H_j%gZ&~xe4Dhnwlk^A4gtS
z=3IyOuZdoCfXxzfmjYoIvr0|kdFc?IO6m^>Mp3-<fYXD*RKj423;$IF!d@NLo<x0U
zn&<uym~Tj<E&{$j6hlqCFA-H6X1)b`b{qf9fuCAsXWfAf!{;Y!VYv*R_o47gq2Yyk
z_-@<Qej?vtHKF<v-tYbTOcYEu)*;ye3%G=J--j8JG{t&haTksEDRA*wRn|dx%Y@uD
zpD@*1TH^c8ui#Z^9^7RYFY^UHwpijd15-?kNd1KWt=mRT!EV;Nyu|nY$tGH^6*%?%
z3Og|$FyyJ1Sc0#~L`0Ed{tz`3<Mk6>KGb-Vm|vJKy~|pL9r7%{Gr_f0#q(=0W9Z%Y
zd~n^fZ_MA|1MD&e0`RHWdZP{4s)9tGm>-ge1*Lt3R~E}EPr%Dts<Xe~`tXT7Vt$$V
z)|U1MJUf>7pBkKAEu#Ay4zPYsOUzHB+>YK_g=Kng1QPFCV(r&k|H3wObT_PEEl;oU
zO?ZL!?TQUdlP0x?EDrCtU)#<T?^_xeOQpAwA2yXRb%G`Aoc$<}f4|qPN6d%&&dnw4
zgqa&+Ula4`jn`RYwD3J|!4_h^9nQ}Dl?skNxGqi1@69{9rI_Kj_K^pP^}@9O33UcI
zz1%7%0=BgL5zhf<TwPBm)*qcg#*bNHdDXW}#QTMfc%~H|_?Q1>>NHq`&ua%a?Db9A
zKON>X6IBy{r*o&gAHf#-5f*&#sr;5Nx$t1KOx`|NXUgznA^cnDUY!t};Gtk#0<$!!
zkcq>Z!ecsBFz=lV4pG=stG&I3INm_hToN7#FmEE(du?%<9tYufG8d$X^&(q@#`9x@
zzbuHqhCd%j>pcn&pPG3{tViGKo?|}^J308=e+!3M-w`_r+Z}fg9f2ne@s~_teP_B`
z)9|B8p*PB~$uh&w8JH=wn^hYg%YM2v50{^(7S(`9%gZc3!zF5^uKMuICrzX8u&Cc+
zs17_HW&GwRT$UfxZ46&J{p;0lm_oT_)&Nee=6bdb-%=rWv4`zkYxBvm9v?g+6=DZJ
zI@`xftk0V$hdQ0$kNNbB9B`|Q@Y-egbJ~GWE?8gi<tbO#=v<c{KfKfNqc&0BX2@*6
z7j~cJp7w*yXeum;{RKv!V?S@e-3O+Ii2a4n<b5ZCVYd*zc4Gg}C;qPuQD4-oB_j)e
zIGj)r3O~E_?I^LI)3^6wV-T$Vsh5h_?>n-0dF&B9^2mqG06r+bwvq*36Rz<l_D5Z5
zL#6UzJ!>mhOCt9VSIdKWd~!b$?;8f9+2f1ht=aWqS2((tvF-_+&!TYN1I}K#Px=hb
zk^ii815SUDz)sXJ+?C=EfzQ{JAL@nG$3HSh!F$plp6!O;UXTlqfhRWiMGwMP*}n%Q
z!VW6T+5NEO9_{sH`1)Yd{1~j5UOJxx*S|4iBI-3)Z@tZjd-TjR=3v(&hr3E){|_h2
zXW;|wv{jWvy{WX^4_Jh*rMMpEJwd1c6)u}BNNt9Fa(BGnhJ!_H5<1|B-of?1@Q<TL
ze#HBL4T)F5bn%$4hqGQAgrDZcr%=Pcgp-zr;d7#t@0j7D4ehxp_z`XIPX^dsbl7MH
zzV<@#BqyxacwT)4mY!*~A?p7aE&L)a!|#I}k-et}v-EOp|3<E(91&yyZwv?)(j#Bf
zeOH+ZQ*N9or+~#qC9>1u&VCtI2AJl}CC^Iupo$0`JAC5@OGFvW$t&-?8`hOpFztf5
zg^pYng8xM>xOTvwA3JAC!OIsS%*Yb(`<fpd@+4r**Pm5(!JK=d{Eov%_gPvC!`YOn
z*JNRVQ@^hX!hbgEUaG^bzSYC$VcMX<dL39hRAosO7MtE3U<Ee~%f<V`P4SA??cunZ
z_FNx$z3;EKJKSKrt1%Uh-Rw5F3cp_tDoBS}Ugp*kxdNM$UnP9^tYZ_A7lwVduYnty
zETx^{aFydFO)x`=!0F3ytwnj-OW3ZEz5EKy7C}1O1&5Ij)>^|<XK!@Bfp^?)KWGQf
z4|gz+z{~0Z(&q5}W3vCo;AjnxLQ8n_@ExW1@af?XJ*Q!kl#;1$@Dr(SMLGDL%MPJU
z*!ohvff#IRF7%1?F8=+kRA!Gje0uE00cyCiYJ8jzUNAVYgAsmp>$$c79A+4z$_cME
zEts*wW(P(2dEx%RwgKXP)>j5!5{9=a4aSN49Tf5Qf(SgIenguYzU*@#<uE*~k)z55
z+lNgSO2FiMLmU5tt#gk4l!jSy*K3HM7qfeY;wYTWI4Q9gPO_KQl!2`%?4@|&C$!Ng
zWZ^HX=b!S!Cz{^-D-(Ix%bb1i(!Z!gCHN`Hg=u1ZTs7zoxCMKwjEoTDBVXGo$rp~f
z(YyCN>~H;TH3!zTv*go-bF@RL9>T+qU1<#AKO3CMWpI1y&RrJp+>s{*C9sY@voA4z
z9#4GzRt<}_<#`h0CnMm-u1a{ywa3y4Ht^n+&_;OP*4Pu?aV0XZ1*RGG>$?X3sP6gF
z3D0-4b^5_MESjVpaIv4~fl!#zk#TSaUL<1{j)tjzMJ!Cg4pouicj3x(g}Qb4Uzd1L
z8oYI}viB#<8FipP52mvnlGvSy_j~O(M>63e8GCMiSjN#Iq8zT*;W}>(lj`Ke7Qzb;
zo*lD;m1m2(8ek?(2Ek0YesiF|3XWKLO8*f4r+e*19sH%5=6)G$si|Mn0>@4|mXyFw
z?1d6-a7kj?S~VPVCu)B;EFk!csuC_=`jqhorlk_pZXoj6S1CjAc~W27=kUOQFvBRk
zlP$NP1(q)PNcIUfw^SLZhj%oczrH{?#D%L3*3$TJX$uZzQNBpz<m7r&+pvnLLwYM5
z8Bf_ySB~e8%BR*BaEpC_G9&EcLQc~TPjE~~9DvPY`b_FzMShE12{<5PDf=Znb?iu{
z6kKzbwW<leGE~QQ91d|2|JwnZKTP>%1)rCH>q%U1VzA_8TX@H=x#x}WY2jDK?y%U}
z-}klfyS<nDJ>kU;8WH099y%ZD@`c@2m`)S*&O3(XZ^0d3d4q}eMZV5F6$-QZ^WP(`
zC+MeYSs47UNNlPb_I94kO@e*)3G5>3-&Mu%q`+pEMAduYqN^9#GvO$0J`1A$oGNWh
zHvGGOZ|)$RQD=3d3ZByZGSdZHxa3VYz}L@zFPno8a=DGR!r4;;uV&#Q^%Gj{umH&b
z?PvIz`%cw2F!`TS{(1NqeU|h9%=@XJ@E82>l=Go+m|Z-$X_ctYk$*f17q0n{Z^6o1
zjM*Px<Gc&pzu|0+1&&X!b-J1*SrX<`Ue!#?@arlr&u!#8s1n1!!iwXJ&nb|nojZJU
z3+}t}aF!JA*kJv+4bweH-bW2Tp#SiNyaLY)W}{O?eHhil3-quTn*<#{JXGwZ&IW(3
zS>)dhH(DQy7KVM^*-{(8PW9Zk#bMQxY`l7~glNQpbFj5E<5(VidN5d61K#!Z*_TJK
zSfi=EIgCF?Iy41u@4jqp2b*+RERMs&Lvdr5Va2SI2S31x&+ZR6!xGoK6=vXl+ppE!
zU?bn$@CEp_!H|*<+}I$Q{t=!LJ$=Lv&b~aeZylzYG}spfQ`3CW{04ved^aNo{*>65
zxB;_0&q_&zpR>q5S%aUO&obPD`#Kp{w&0qA6{-xFtvrhK54`{5k-#k2_@0UKj%4ER
zP0IT|hItnIjY;5xx1xUJ!%@F8vnXL@(ic@<;Y+Mu)=M}({-mJ9519Vku_r&_wkW>+
zn{e}i&^n@hW5yAge_;Qpv!t8w<Ndc&$tv-Dp18wGTo1#xZ8!yd{tQhPInMv^t!)rJ
z{AWzFoM=xTedhujeD7622oLO**|I|9RUvY2e6W$Yn!sMzMCAG075MP9$bMef`es1C
zBW$wkG>0Huthr?B2Tvxm?dE}h+Lo#Yz?ayb2NQWq;T!H$cz|!wPZW-nA(u#oC9@|6
zq+xfh8<CAL=R)S#K{#7q#k&PAY&3g(2JXCP%C!n_ls?Hm3kOYw9rzCSd@7*SfX6sP
zx2W!6KgY<B{v3Q--0U+gEc2|#RtLUhkb6!VwmmK5OZ+@uwara=cuQ;X$8os!=_6S+
z*ink%AJIN5+EZNG@IU!lFL9W8?UT77{BWi}fDgW1?0(!F=9~A~*aPeF^541ye?Jql
zgB1=tlx5%utIF>8Wrwfs(|X_upVE91zyPaq(L{Q~+1B4(i24&kSJ=W~-wO_2bnt~S
zL9!_Lc7??xk;kt~3_OCH56jGx!<GeEh57JJqxa@i@Pi4hAJ1U2KWetb{Xdnl^IZkZ
zn)hvDCvp7o3ZVvgt5k1x3*$vM>k?BFZ1Zl@kOcXQN9+b2@E-FNU1Gd^-EHI02A^14
zR-lD@UcXoyg3sQFJ<S4d-q}SpK;)F{i9~<gYB#j|3nv_Exg!kQ_$B*n!t*(2Zi&G@
zT_1K(r{Ld93@rOd!V2C0aZtc1vEKH_2vgfW<bZu!MQn)s{aHV`k`=b<Xwp%HdxFR0
z_QL)<u4$;jTHNG%0`Rbaa@%?Mad2*`DC{@>w^0}74elx22N%Y@J$4Z`=DPahAUxO_
zE@=ig2Hx2v4y)^oD;UC2lX^FJ;B~u*(-yEQrFRS$+)-85W(w;ljVm+350Bv5h@9=W
zF+J?HSlVX}XBRZ}ZsB?t&gym9!E0yUz5fj_72MJ#>g7`u9{hkaTz6|az`gzErC(t&
zBjw@CuuNi$!#unve74USrtz5cn}biTQX4tKNf~m-C*d2>S-Ku@o`9kH7%Xt}^@J;Y
zzPf%_KV0f(JnRi;&-8P?fxmnUGWUXQr=<so`x#xEsv8V9kr{0^!b8H169I(78q2HU
zugglqVQ^Pa_bX!j3{GD$4~0Lu9tkXj)ftuyqhVR5Gl|6b>kDR>jetGub2YQ!{N2$L
zaqxe|MOGO^&Q@x32exx&<4K0ao1~Auf|=qzl;46QSoW24z<JZ|o44WAixwGEFh#ha
zB#~?C8nMs7)a}LIMBZ9=d)FGgcSNSt5ALvv^!o+hA#Ys^g=+*f-FH>t_nEHS{ucn}
zFBpENfcdKzEQ!xo#+m1H^svx_G7qAD@BP=NOz<lTsoEHL?QqluKKQtJ{d5@YP@MgG
z53G}SN+=FK^_8@BKV0{5Lz<}9Aloe?1_wo5yO{*<ZS<3tgnu777@GhO**_>g3fqxC
z9ZZ8y_Lx0VfU8RxekZ~c$szxpg(Ks`Wgo!dqw<Wpa464|?LC;g#U)%HuA$K_$b{Et
zMEq=EQ}27dsjwbtvXecm-f+{n0Di-uV|@)~>M8cmfwRuVjr+ha1$o<u`$ze5dC(u$
z8!a6n?q68kA&nq7!Gw2r8GPU4vwR#(#d}PFsAsS``aA)SF3Aof#zT2~TtzDE-mou?
zc;1YvzdMi)-}H@pR|~61$n1Lr+x=krQ3VUC#%AWiKPG*S5#!D1@t4#>c%ptywH{tE
zRAMfHmj;YuTj7tA4{595ex8BsW|+F)bn7|XvXXM(E&RKr;a4+!A&5q{7miQocWs3a
zoOTQufsg+Rbm)RBPK+lH!u~Y6CVlWe-FtgJ!faQo^+(|IY1>EM!z>+1=O$tKht)5L
z&u9FBEx8Zy_7U!W;`3Rw;a2+*?xpf%-+%{3$I8FJ{yX39UxV9E=^pqB*O7}l6QBQ>
zdv(I=u(3mM0P*=Zi9eCK0h6STwUOa@k+$M=hprl*&%~a;#PhK_evO<Fepkk)K;+i1
zjY&CRvS0Rk+sI9K%wOk%v*c@2iRa~R(^BVsFsq>K3sP9DN^xEU&i0M||MS%;Z0d^u
zoM(6bJ1ugphwBed!H@ov&a;4x#jib3fTc*U)|kSPySwiw!|$%FDLBE}MVb+saBr%R
zz5{HnxJ`Ni?#{fN<_@Q72K_aF<Blg3y1+^oZQfbI2U-%E<KPOPl`(txtbOG`3@mT$
z+T{c%96D&80h>hpYx9JE@}GCT4`0c1j1Gr8{?MgO!AnOw;{)Lb+nZrC@L{L@UQzId
z{hM^sRQ&stokK1O@Yl~%#s82`+)lE(2mgF1e}VzIvA|i=44B$QU7Z#dBNH3Sf|GcB
z<5=N!&WYZ~@Wl%O51HTtacwFEFojt0JQu7Wa82<U?A}ql$qvV9T$HMUM|jCY_QA4q
zREHX1eR9%dA=oly`$;2A7A!h(0M;ldfAk6#9N=FTfoIl=cwWOld{rbRVR|w)<`MY0
z=l+XC{S{~Ss4;k3RO9|pIMe=h=nVX1K)UEK?C#k6?>$UeW%T0&JTx1$xd>~vpV@f~
zP7_XBT7ln51l&=EJ+ibvt-*UDEwYqg$5|_j4fq1Xt&iv7%fp<;+py$-;V)IV>c#Uz
z^flNYG5($83%_5M6Xt=PDN|~_U>^zlOkTn=#sB=^2VW-h8DYh4=80hV^?p)87Fa7>
zls_8gSd`jN3%{&2q>qK8ulsW|!D?FJDVgwF&LTc)Sodt@?T7H=-c2S3_>aOIV>w*k
zpu|H8JINkju7O|ucO_{D{B%iMvKjvVGd%4t+HWy%jlUJ194=%bu7_kX)~*{?;ppHb
zt~c&lxo$5^=f4#H8%|y8P8oq~_mSQE3GWnHxjhb_V^E7A>JydrFfGAF$wqg+!!a`Q
z+sklFPENo&Y|!Kp@eh7PT@?Bi9=n;~O`3-LapsTrD*Va5m6RE7Tl(ex2PScO#KHj2
z=Lmh-f-gxwH{^i-b?=$qiR)R(NpxU^ck$|4Qo#Bt`6WECOtZELaX(aD{F}MpeFe7%
ziT*CUlRz#2-|7hI<$!74*l_Z}TB?mI-0)>CFSC7c{rd*RJ+Nf6yo(Tg{m<WeK{(|2
zg^C04UxvTcqHvW8*DDb?uSxc>IJ~taOd|>F_si@%1?$-sND%c-kHWG}!>?H@J&wY0
znW6WU;4e2_Ll49EsfJjUVNIj!ohRU?fB^<gcu3^Xq%_<dv@b#%=9fISM;3nXDI8(|
zQ(s+_lz}Jc{kM$ZQ<*E?O7IWgTN{>es9bu4JUm}C;bsHh%gTJC3ST)nWbFg9>c;IL
za%B#g$s4e9cB~4KyCh1!4Ttqb+OI0Y^$A((QE*Mj%Tjgtqtg9z32@e`VT%eZH9^;u
z2oL${Qe1#DgvqKN!ZGD;qC~yvwC}-OxLNs%i!Pk#?Il`B<P1Lov|;1+pO1<O_s+K&
z5}sJjsDvxFua4-$VlQ1eYvAik7Ch!~n4&RN4;-g9s7>S&!=HkB;VVL|NoKHl%aq?R
zoPFf@V`G?g+4<KfeEfv)7i;+On&!eXalDiRKaq=cEn0np{}a)(Bl3EsUW0$|zi7^I
zQ@G%iTR%xH-q*!!ciX}hS8ci};FDKPrmf)W-&E(Q;j{PT1Rda$^2?_<;e~>wvqXKt
z_q0lGxavbsq$A8t8C|*u_Tk!{eg%H0eMVFWUh><Taf5qp`1mDZb@|vGME%R2(bS``
zcbTJ#C+yYPk$4Jbl`AnK>La^v)1QIgO-5#1hietRsm{WkZ#zn^!7EcIf|X&(`wv%d
z!M0^w*Y)AqX(kS$p3?cl4+D6qe8D6T7BPDI!4du==^pC?2Q=O?bAj{Mlm-J}o9hmS
z*I=3F4j=ts^-!MkzOeKxjmsVQjRK8w5X|;fEFcQDU07@ifz5S)x88-tR9{skz+Yd9
z&&R+=84C|3!41bY#gbu{@>H>O`04}N(?tDrfGb}%9Lt~i>Jj{KpB48L_-1e6NEXZ}
zp_5nucg}k7<ii|Vim}h&^^Ke2dGO2S<5U%JqqKs1G2Bk_bF~-dv6QWP2wM-VI=_XF
zId1<hfGKRvwEx1xYSEUdaQ{u$&VMk?yi#s9ESAJr$MPJ{tN+GEQeZzraVd6KJvWAj
z$YZ)_4(*2h@~p%&VE%pL1$?l)39CENo^MSr(~iP-#C>uez&qPlSdYOjy~2yRa0f#t
z!x{Kh$>&X?eFDXs5pwXx&3k8_!XvIjA<A%M+eNJ>u=iuCZB>}!1!-a_9L3bMY5@Pq
z^Qa`Q=gyTs&c<-&)Bk>#!E=nmSFGTF>TjrtdP!3DIU9J<*HfzozAW&4+5x^1B4Akw
z?|Ld_<ODx{_bR6WW<AHG=Lx%MyH-AjcU(4pa}AytX8zp*FZxQq_JfB@s;Qe`aj6i+
z0NCHkP^$xe|I+eI7+msj!=erLV=J$TfTR8I<@CVYyW`5^;4k}+RCdB^6!YSDVba5W
zn{Q#6$kzR7@EwKA)P3-Y48Pr(@U5TecV}Q7L37SLc$cO`&J^5mTZrx{%=y_|d<D*>
zr=%={lVd)gUV_t`C;nE!b*${|e_*xqEx#IIVbb)G4S2EbuzM3spLCFi^giY<ja!%B
zz!7Z{r-}NNoy(>JaFCYPD;ne(e+Lc5;R~Ma!<2BItj^m>_<n@`e@yUt>B*iC#PRH}
z#pq$b=z8T(@X|$nS9aLJJ6B;D{-xd;zyf<Li8XwMU8^<Q{v(dpVyjt)lUZwrIN?y!
zEXhq+@Tola9ysk}q&P_()~l|MMR{Q}L)ixuutMUA4Qcql7Ks#km?AiZ@+iC!X%)i)
z)AVJ;E5Rzibi=vfWQvV!dD!^qv5h@&QKyfKF|2yv;LrW=W3euO1DLEbU_l(Ne&0rE
z58o*9{cse%6wS<K2M^H3=*qxXRsuiy!Cn2KW)iUD^io?etfeb8dI)abcbPgGmUCd4
z{|_Ftbs0;9sVp0;c;VoS%ex=In^&G*;(#Sq66vyFnNNDNTyTUci_R0+&fv@^W_Tj3
zM*b<h$9Ue74W2uH>~=ZqC)sUBT>r%3ajz=4xXyEi5stMqdj0}F@kj3?6}<n;W_~j)
zAo_TmsMor@A^8^m`?qU|I3LXeeZ^jwr}Bn2C)`u;Hf#j;C(TmlgMC!QQU(d@=)NNQ
z?_^-!<RrXsQ>=^V-_K-P-S1#)z3H>NVT;^O#szr(<1;mOxVXoaWC<Qpv~45KKRWhB
z=_l+abEK0A?syV+bR8b#|ER<Y=kd~A{|5&Il&I3dM-z+fNz<{uU9xOtfIB_Jil|`v
zGU3;h@b}oxbXs_+LiPl4{a-Nj_QITfe@+wEZ*%^g(SA6hm9Ln{Uy$kSlZP3PzAYp2
zh{bR0O0W}I04LF2jYB$4PH=+!I16z-DTPIT4)Esc?|;Iu{ZMdh6kMlj_L~?l>Lw$Z
z;c#@r=&N(^@yWyICtxj0ofZxFYw<PHQFu_RHPs6KDP85y{eXDhYbV*m6iF+w9Pr6#
zC308ztR9EiA-HpWh}0Y299MA?hig)%e)+<FbCm0+VIgw&pFyxz`BCyyaFLI%b0|z5
zo}i`(ds{F%M8jS$YK`UKn5(=W@4zH4*fLe%Jd@FpNAOi~k6u|=jP;vN9$diL#X{r`
z44G%^;PS;?N<?1jOjX?in`mq^8p0KK)5~7NzwS})(TDHP{&?~RZlll7w}a18MdS>@
z=Gld{*6?t_m$Y$Mf=orh1LhkFO`e5cOrF(og$tA$nC4&-v-o5mSa9hg-4e``8JXt=
z53uy__y#M<?ml=Mepl<Xy$)->W|R$vZ%VJN{ejJOGurRMobM99lhxyX?u{OagI|=0
zEKtBFQ&}yu;Sa{$ALwDK^1m(_aIwGhI1Aj)7_d<c8;Y|IbHncL)|7>?Ro=^PKKN(t
zOk6!2e$lZ*7<RL1$f|`YD_<*$z$+Jj&o#qd+b^Wgz_NTktVEthEnFrC|J^DzByzIo
zt|Dc)EX2?L1$?lOm0t_K;Lk5L0$bKL{&x}PlK7-F2unp2Fq^=nR2n^V@XHiKdTaRh
zHtp0bY_QN9a0L!d%E<o>KM$YtxCMLMZXEp%=gEhD3WdL>$>maKpnt{Qd?s>}p7<m>
znD43ar9jv`ync)grc-CN4u_9QJ1jE8Pdj@CV`1&K_myI>#(H#LGE90uqHRB%_}Ef0
z1MaxA5ibufnD3R%g;i`*vd_Tc3M^%XaF*kilL34<bgHNvo{3NP(}NSlrE_cGWBh}=
z?BIsrOTpjZ2@U!n4Ol})bo&R~x=ZktJ}g)Kc~Z0i>#=`c^2GVS7cg7xhtHgK*ph<n
z=3bZ{gnflx(H?;l?LW;NfX#=VcZkAwl8=m@ge9*y%nQN4I1NpY!>f-hAMwBntw*&q
zU{8Y!{VZ^8o$i1d{Nt2b3=KTY6Vz!4N8Foux(n_<W`E8ER`;0sO7y4I=s$UDn6+DA
zo9J(gn8gNLnC|UfMdEy(#cY-CaN5`dE26&eHpO8tcy94QF46z5t{vJR4ClYu)ye=%
zxr^k4!Y3BVC^_L1hqdnCCH&M_n7BVPT3Q^*Fm0cn12<eU<wl<atGlF!v%)ca*CX>_
z-Hf~4#P!J!Q{66tmpPwJaKQ)5*vLv@4);7h0eJUp-c}V%t=A~QN7$hHdM$imq|ALE
zar{3OuO>K^zdexXKLdL6?=A3FPfgnam|7-ap%1=ZHTXdoHgQR}9e_!kU+y~yU%gsq
zG7DE9={+j~`-$w-`$Qa1lGk$rR?14!T80Omb0($X<?P0;uW(FG48JU#>pa`C1q%-Q
zogwO@?=s7hyukhin{5y={<I|yOVh)pLP}YuV6SUe${1k}=Y4aEu)&dyA`ZBVpXsL@
zOhM(D#{=u>4BWT?leF)8C<y;hua3}!6ZBMhh2g3r$vqe0u*eB6arl0s*Q742RwkHy
zkT^b1hu;*IwycVmhW(wz4;sM|0z2qWz>)=&9#$~DN-~ukoG~^XXb#Kd%!ew#3bHkA
zmtZOd-#}G(btq!c2KGGOzoia`*;#Qq!Xlb>n>w(Mjl{kyaNl&Jmp=TPXXjNn*xpgk
z%@h_5>b~v_U$|GkYz`;cWi?!bU!|)o+QH<Kw%s1^Ppd*Zdstsqn(-!Vsy<|T4JMIz
zCQj5(9FZIIfp?z`aJvP!atsdo!v>d+1^B|zX^IzuV4WvBTZ3V_^^x-taNFVPw*jyo
z%lX$)aC&+Wdjy=anNa;0wust$!4IZ7&vLW?e%iQ{7z!USe=ghzhw;5=BHHuWROwMO
zY<xOkCy{Hv?#<|crL$RBf?#uN^Z&Zww+jOoBjHQuKC{1t=gY0_!r+eUes>39)xCT2
zV_}yes@MrQ&fsZvG%OQzDtrchIU*?g0QR2l44#LXFFesmgLn8BZmz(`O$Is3;dWd3
zwKdrA&xL)Zu-p9ww+*<Wo$_i8oU6oig}f2Je`5A4tPH04Yx`vfT-2|iQ~<|l1bkqE
zgWL96<-oUg_FrOv-@SC-oerD*n>O1G7qY3HOoo+>?vC@p^TWUWGT^<F)bBXq5b6Y%
zY&fOyg~@;Lh?HV^KFs*!uq7+Zz%-gu2z$q;8F9gbp(hVCz;PGJ&6(lJ{cm<R!9k{V
z<3zodyT4TjEEXp4jt*X_XVmS2)7eH$7-4_cmgE7rC-;OU6<lI{A$%CFuV0>|fvo~|
zbWg+XW$Lp#;l12(4YTmXg>5qmcs*Nz^fOFfWN1wSt9<DG@daKUq<KdMpBnO)UW0p-
z%I8<npIQ>pTz_C@M;qH;@Ph(5vmKe34+T84|3>tGON%Bs{9H(+i|FrI`CX;j@Z#+E
zS48_ODXzcJfSK}`o^!za<VAa&VWDg9D|z8Cy5xzg@PWbL5<ysU?}GJBcqYf-sVJ;^
zT+{73T-iUfM-o1hD<_ix??3Q-_X)UmI#Vqcb{bP)QiNSLMT|<}m*<4&)Zp*O11}fB
z<lMi>wP32|#+3&6Ti7(&MOaXoY3n&0FOfax3=eFvWYc9~{%8AW;WB)@t|x&J7HfEB
z;R0KY$C-)1qh||j?BU%3YFY>2Ri0WiC%E;y*RTvM8(3g<3HG#*=#YiYW9m(=5<X$1
zr41kN$+NJ9Ib9g#bzw95dZQ~u{_JFj4O}gfX=V*Glzgkb1kYtw8xZYzW5g}*4VNX~
zHL-*Z_<AL8z=k$iqeT7h9k$nk;Mo`6lP1LRZtV7<u!?WOFi}5jDEBo97B90NH-blF
zzR#q<U$R{dOkvXa+d|o}|7jT$eK^WViaiHrk~7jbhOZ=8Jg9&dt9Bdd!sF6(vDI+H
z>jT3?eZ1krw~eq=?w2u5_;!v)YYY5&nP!lv4=49gAAs-Vw2qvIFLMi=9)?}U2la^i
zQ(;^kFbzLm3pZ4O8QCq|XJL<!0v!$bY-PmecewF}!NqfM=<!2KtMJ`3H?`H_^K!=S
zyRz~7A`Ak0O0aX(whbkGlHaO}$lpDzm)HZ7DsH_Ya@}Doej%8~NckMmo*N7QEy=*5
zJ!7h8VfmfSld^EnRjo5b`>Os?E?L4!kB8)m_9+OKOxnOVs&%-D`@441>dpx4LH3Q^
z9j?=Qnm$O>Cml@mg!K~+&rHJG20d}U@Etnul`)tyjEVjhoOJ!q;rDR(cb2Uz`0Bph
z*9Tzo50`E{f}fwfUq1n7uvIuV!kVkHYrXJWS(eYuuwHM?@lm+_ZU5*TJp5hK|24d~
zQTF0I{MjS7r5|=p>d;w%pXitMy@4b742PCr(N(#aSFqeS*;>ISVmuw)Du%hsTBU{I
zGRt(iYWV&8lSjniPSQxt3i!TUYw1DwdDyr3dbrcCB>y!0Zg*o*6+B8Jw@(hXEfo0v
z0^UurpI;M>-#trP3*Rhhe4q_Ks*u-ih8u3>B%8w{B;T&q!H(w@S*>8FERB+vaKxMt
zoeTW5eW|kn4jbu=bc0{GoTDe&Z+|>L*dL~J9~5bVE3_|?2Enlc2b?<Kx|P<gaJZ=F
z%Z)bp=fi8hQLxryg%>?=U-d`t1bDpWUsoqQb-Bwq9S*#uHns%2iR-v0!OdS2x>n%p
zDbY(rK2jK#MDY;&ktI}LiCmeYFN_*)lZ*PC2AjQiqyG=yK1{lD7gpa@OTr5u`V+dC
z0<WnUhe^QWuU5ar!!}2=t{;ZKHdH$#!Vf=wt3Lr>U*6*!1NZqHEs=pUNb;``?cMWx
zNJ;|^rlxfwuBStvbH6rRoNWGy$Q>V1{;-GjzE>|2x!Qu-+*Oz^g3X3#kLjV~#UZfq
zQM*ggu&eovtT6cI$x7{9_=>Kx{5Z_yv8bB?GicWwnSyEK9Mzw|mC7S>|KQ`XiJIB)
zRZW2-q>u1E!`DnL4=#LFQp*JE=-txDgy)hrpR&U4K5D8t@Skh9CHKMy#ca<%fS=L#
z3hjq0FYvx1ay`ea6*>5-p2TY+H(6eoQG_YWhtCwiyvnB!JHbppM&uvCTtCAEUE%si
z6?H_eK&rJI4%3j;)jWecevteLh4*FE6*j>FEM9l2VRhl&{C3#!6;FBvys%S_XAF+a
z$#Y*JT+7Y(7Pc87xBCtcrCO&FIfwBR3F;i|7iAntCvwMYlzZslz(M<z5x8l{{qb&i
z?wREMKDg+4e=0xxlmF_yA(%P%6#rq^azs4s4V-!?mH8;l>whJA0A{i#OI3nz)9+2~
zhQ&tBqm<!|6`Q1fxXHbp$q?2w;7sX+U7rc;G=V)`jT3v}eU*`sSK-IcDDHK@4)t?4
zonev-B5Ymoat~+IHJE&@pQ9BXzUf+a9gg1pGwBt~vzfCN2wMu>OKF7jwSLcs!1Tk_
z>@9GS^g*#0xKP%Bs}7zx8ninO4!GfcuK|91yV^1ZW+8c+UIKqJ)IXa6Z=C4hE`zU1
zM~COZ3;L$JpTZ&3BRBHlogYaOtKm}@=Q`iQvZrn*m%<PA4>t_K?__^7*1$JfdTy`4
z-g90o#QimX%6<Jiy!LA~hRCZ~Dio-5@qXm<r8pvI{zM{02M4S)MOVQ?({^>c;mTUE
zSfYK^*Pj*f!}AwSLtem_*oWnG;PnoYpf)0}4A#_wYfVm*5dBFxSsHHuAL9=FL)_2n
zj@yM7;P%0e>!Wafn#eaJxZA(beHk7mCF3G;(=VIfzQW_|`%Q_wp6S?^E%>6HmbWg<
zniu6j(v1D&Aou4cFlR!W9X-sLA2Fm4AJ^P7#|S^^$>%hOTS*Mx@xr7%rAG|mCv(ru
z_P~1o<LJKQx%&P%fQMw3nP|w&$jqvg5ej9LP#G<WP-JG4mAzN?R}r#GMiQZHMahT~
zNg||3M!(nj{rP;n51;$F_uO;NJ?DKtXSvhm0z6t^Xd(<x@*WQ`gDu6L4T!>PE|#yZ
zzz<^Q-|mNhbDjQt9{#0x!9Wpy>S8Ns1uqUQ>mPx+=RfQt<-hXTb*sY}E(^|faMGd7
zwo|b9vsckqVZA~wEkjsOd#LvY{7azxs448hp*(5}8%awyo5Q*t`U1|d==z0vTiE^y
zgEA>^u<xtV4fuoOc7IpcEztXr3)~aq5ak5x8`C{?gU4OHdpzOQKKUm>a2z$yj0>Fh
zx<&R5EWIEi<pb|n!)sLV_e)NPNqI}<NXZ0v@4)TGaM;>bNIVVJjc9p&2X<qz5Y2|Q
zCwq)i;T5F~!ufFbCl-q&c>96e`vq|G5PM!GOgXHQTL!;Ap!YZp_Th=oegYS^=^uOu
z4>rkUK7+T|1s*Ga&28e-UckYh{W@!45oU$dR`_sh>0l+igJFiV1HSU6XjeU~xF?#U
z7f#&uUi2AE^;|pQ9jvAM#;zIO))f^!2J7tS3V9B9M4n`tfQ{^#+h4&|{tJvVFn;Bs
zzX{GY@TdO?FLH94zk@#?6QW&)H?2t8^uP}1e)!P8!23#VP0Eb-(cfe$_*20ZuOIJY
zf`{LI_o0Oi>0_&Q!{2_2`%}RG27C+o;KpoPij8n)(2XCW@GG99RBQPE66+?T;;_Y8
z9{+#vi>=26<l!?1&j$P<aXGnd2jI%peN-#((@KGJs&KOMRq9_bl@FtiI{Y|HC14Q_
zwOx%m0eef?2hGAIL!<tBFxMP^04Z<P*Fbv#-u~`p2ss~4XfCe6=j*g-zQNNguF}`x
zh7eo2&v4WwBLN4vaz!m<9Hv@5cJ&s#U&S-L5BAMmJ>dhVl<PALz>>|gQNeJD*wxKF
zq&($I|4_JESTX!9{5ZC{ITlXcs1w-<pK^_;N`NQ$7sE*T8&yt9_u)hDH$=9>TP=@C
zKY+(PgXqciE<Mfjw*l7l3T7nrA#3{QbQ8Sk{!{89xc^MD_afXp)=EW=|LAgE*a94Q
zFW8rSze6Pfry28*|8@PY_Z+N#Gxs7LJoU`m^EZ6C$@ME2{NYf68@axPXYwi7;m~cl
zOVn`H!$|d=@Ikfe-;D6ltgMry{KeWzCnosmuE2O+_>_6)O%B-6IX0UcUUq&x&k3L0
z;XJ+v7L1&j-3?3hd(HF1C)9sj=Y#F<o6Cy9Ur%t^NWm-imvu>bp4|tm<zSU7+;8RK
zkre%_hv3MQT%$5@#2c?Gs_>#nx1~DVej@p@CQN&-$x#)iGG6$k2cNrq;?Oym%Z%-#
z5&WX!pq4TG^y28b%dpia^CVx`l7{i@HCTsLJ=Y7Sh)wAAfUkQ@xmJ?DpYDF+54USI
z1w4kQPjs~1g?Z{Dd1&(SzC);6M?7q$QqM*YbGLbGr@_vgj34;mVgue232@r&!`*_g
zdC|T$5;rvtN>YNy{My?|{OZHXP*pf`OK@8%d|vGk^C{T9hO;9MZogzpWe9(wIjBuO
ze^tM%-42fZ*KnMCzP`z5ojrWa@<%I)8)@(d-+^-<*tU~+%s~V9aJWnPU|R~@CENQi
z4K_Pl)*cJnEKn?D!UbafZAoy5v7cKhd~WB@_GmcxW3kO6c*#IUI~m?VH7(NtGe@Ny
zkAW#&xP-dlv!A}Sl6Xpj!R%M~x#f{|61QLQ{X7K=s0+3w!XmXRS65)yEcf;(_`;Zw
z$vW&Vtk+78FXslA<?aXQA2gEN$nlx{cl0bDtTs-qMb6LhN>^S*c<#7{HaS0w?{e9d
zU<)%PE%N!4NnEMAa6_t#Hu-!;AB~8UaP+sETIBQh6jZZbf}>Xd(<YxEV=_*C1y-x#
zYa`{4`(<d_!3LqXI&Q<?s=rG(!aC#sPWZtaPfAW-gPE&Eb=_h51ig=>{KVLs?wc@g
zDeE>v*h`)AjSZZ)RgC@&ytl3Klm*;*`HQMDocv_jzzqI8wIq84X89~@cm`h2wkwf_
z{krXpPQnVd?m4pX-*&TpE!a_wZ*T{!t&uix1U8fu?&OAbuPqK9hUZjck8Obq#}z)v
z!_*G32U*}ehs<GVxa8{6;|=hRnXwU3cy(Ytj|%=ddghZL-1zt;-vX|Ow|UkmH*9e2
z=+;G;^C{mL7pyFj9rXon-fuU~3Uly9`%l96m}Rdp!}YpPl|K=0^s%Iajf?K>8-u-R
zIIT$kurq6^s0V(qdc~Ub4;xiKWWIwbuQJ+@{$Mkg$o6K~%*@Po9@bf-+1vtiNU~g?
zhVNDD1y{mdbd~laFlW@d?K60OPs%)LA9=WTi&nsazTbb6_PAm1+|DZa<Dni$(*8<}
zY#A(pzcLCsllC{maHyjkcClh!Y=NDn{@f{mcaA>(Qv-|N2)IG+hYHKQTU9Xa$qcc4
z*o0}>o%H|uoaVa=;XSf*E5&d&pUa0FSl{5tS{_`hE8Tq$KDJHC`yTA=cPu;|zA7>5
zn*@i6lsWuIymOp_j8CpzZj!hQUt*V|iiFR9yvdsZhi4xO2!o%f28<-YJj{`S0q|`;
zi8smc^+Tzf{NZyC4@XABaX%I5oZ!B?0LMi5i>6+v13aJ~BNYkzL}!LwgYWoB@W;SE
z11lM=V75aCK83&<Ka7~p!6#=dn@Rb)%`VZ#@Ya&+{z0&>M01QjoG<y$iL^ItGn1^k
z@G=+mK0kPbCTOb)OliZlEf{v0D@{BMr<v}2>kS7_ttZLDTg9_plJfF5CAef^wPV@0
zZ^2u}JhzLJ@}4{{p73kBvb$vbYVmxxj1#=vbRuIXyvdz~(;cqc8nSykEZDU9ode8u
z;T;bfY^UY>ij<$y+nPhh&l0un0k-fl<3IOSF#hJ*Tw~%4v#qKMEyFaHrJSUFJ#;%$
zybs=Pd+V(SY%io$M8@}5t3$R0z;&k^iplfWjI+op`TkRjSH(NwOud83v9O~>h6H(@
zI+`3LO|Dm3l=?&R{J=Y$<V3Fjb<X=GH88)L@L6*G-Bq<D$n%pGyJ8xtPqn5_lH_^i
zg|ts(F<i4{TQPaQk-Z-K<_Y}e=fzU;yc_Dp`lJ>v&!Lcf2wy!awA=*S@hD4^=kN2S
zcZb{H)y|<3^1Pl)UCz@BANs;jPUZvT+qP2=z`oJ<q!QtY!hM>faF|D*j2|4vU(HS0
zZ{?J0<+tJY<-Hew!ln{_71v<_b*25JJ-<}PB<lb(`k8o;_GFy%-+o=#MX^(k6;@L9
zsyPlPoGJK82P-dLd?pV|-fCzeasRj9lw{#<&(uJAxXraubvJxvHqwL*rerj1+zBTS
zT;^ne`}WE=Z-I^cG*_A7@~N()jIgHT_G(%<=1r02I_A4>&izOu?IG*a6KyN7^whJn
zo8ax%LLD>k^F#iJ8DSN#E*&yIc2Y_AFFF1`)u*~-e$9wUbefb``fd4o6dpeCE1&dN
znP-)IdSUCmnc*7|FI4zx@CJTkW~sG`xc~d%({1GMz2y}D!EL7#`d-0x1AmuDdn#w^
z_r4xxI^X<l8LkXDe6|jD9SgZX4?o)`dae>q@6=8H1-tf64LyeGJ(vxrVeY~AA0ER0
zTHhR<g&E}1%?n|NtQacN|7JOzznDm@^Q@o5(*q^O;@}?oTL~n-MXPnf6^?!`Y)abu
zw7a=h&hXfgkDT9Ond24L$^5D1^2W#H_}PS8rpbKlVKbv88hl@4n#lzkIBx$_C(=Jh
zFikkn!{JOERidzl$^jR$-t$xC`h`O<v$yu2VOS`aaTn>&lyuhr^ufXBFK<zR^+nk|
z$okQS>3?k!aJoZ_M<*=Kc&e84hl?|x*V^EjhG{nu*!p48dLuk`^x!oycw_4mU$TBR
zE!ew90M6K8>sJGpFzw_Ng591*QDH0bdRop$Z%KctVxzIK3{JLOYUYKFo9%*%;Umf6
z{#>xZ41X|LKg&MefrLTyXA}B#_u$O?=cU-;cR@7t8E{8kD(^P<!tMj%cVS*Nu@O?=
zIuz!@<6*w~OWmaZ4ZE?2DHeWf_cM&t{{tIFn8<ovo}Pdgsei)nIb%cMCws~dkovUa
z)9YA2*u?ImC^_E;jhMHR^}u#Jo3H;LFTHQsO4bXtx#IgN5O>~cu-y@st;{<~>Q6)J
zmL0Zm;r+HFr2eE_I-70{i>aUbN3QRo3tKZT!QRRCb3b62R~9@MVC(aXMH8^}VP4*|
za1tkT#y9w>X}jQQI7V&THqu`7_l54!fnTcZrTqY3B%=cOLvB$MX<x?u?mbY07dF*a
z^ubQ*mc>f2zHN=fOL(`UNQnY`i?wNYE4)i1N?HzXWK;c64<C4ZYM%uBj{9h5BOJpe
zsvrVa)F~c)1doN!De%FcHY+NS_E2H+V$E*&R?(w{hcMM!;isH%)P>@4(tjIvWgO;!
z3xox;N&lU@&r*pAeyF-5mbACO+CSAZ!g?~%x}-gB$<J?~hL4o_Dc^@#MupU=VB3yg
zE2RClm!DH##rn8j$>?+zT(;Ti)iO-?>(m3%A7>67YWWEdD=Mav{=D~Ov-TV;Tu@*X
z2OA|v9{&c<8buyUggf39=#RtyUR%`%!Vh^|PY%O>8;+Kd{`kvR`nQ8{V`rJ2FKk)(
z{w-PWui_6gzYPbm*c-orxzGOEPWr1Nox^9^;LYr<45Ys;IW;)=3f|%<)k69^FPi)z
zl3%bCyP?_*zFeqfUI(Y`uynSEKlX1sUkTsNlD2e&T^%ef%HeBze?~6B_WvndDTGrw
z>$<PN+{xo#^Wkx&-Qi|%*O4ca*)WIQC(jG;fai`MX|TC*#&12CS#0h{0x92mcH$Il
z>5%V0@+~GKp5$o57Aamg!{M7(?BaCbY^P<{VE8~7ALC(IGW(62FD#hXyQ&PcC?u?S
z!9QrlsuketAM93L;4gRj9~^{p&TOD0`5=1V1NcPYbjlBuHgI9-UN&)fYO)~E3O-rt
z(=7l$X9y0u2tOO-trvn{M4zKO5A$wx^4tx(iYd^O{FLlC7CZ91*BbPV$pAJDDEq<!
z7d^huq5=OY8-BSBuHPCGe*}JXM)WoloXne^!U=odKfQ++j=ELEu>&?~+;U9>es)Wf
zb2B_}oa(qF+}d$EfeAkSt1gm!zftS4L<%_ZZQc!XK9(z|**3xjv{xQ!z|-?~TNjbf
z^PkF*_~Y;fMW@(5@Tm<H{RVKCq-5MYY!GPEVg$eZC(HZ`rY{v`JP)@SerKM64-Lhx
zUW9Xt<|1a{fA*(TuE8HJ=R{7z=0~ce$apD6HILytETrb<MC#Y_+0%^U@S~a`3sS#A
z>dxGmfW!Bs<&*l$wVxvNBdn^vmQ3oeFF!TSXP9qC-G?w(c0HeF2;T5<XD1nd+S?Ze
z48uQpMwpXe^`hf}eeh!FL5fsZ|DG=80Q^f~Rh^8#m5zL)?18sy8p+**cf9!S^A;Al
zz<G<b58U;BzMb$*4ts0TJ~X|&z19s!rtEuI1@{YXU2lOGe+Q>Og*6{>c(lU;<JzO7
zJ-X`npGOn?U?TkuY0vHk=l*#Ke^<V^wHvO_7h8S~-<d3<?t!b+#9dy%AB&u|2H}s*
zr7ln5_?5;3!*Jr)(uHU6KhY4cFYsDw(XSGiBXy@aX|FXaA2^i5Vuqiy7hvB>-kXJR
zu(NRNB5@e^>_fQh?vHn*f0(`W2@7@T5Beq($#{x#@~vGwEZ$l^NXA<|BeXYsU?zQ?
zLh?Mx(6jWN<fp06a?SF?MX!vf-Qj;}$3E_XJynldd%-$+?EI4OYErhf3%qGXnQb3@
zF*$0&4ZdN&+4vw_tv4~@01I4`KXw=nv2XlD%2zqR>C%BMR#``Hz)Nz=b^36}PD=Be
zuwcha%CoQoosPK;Y`ky!rwMFXsyJi^-<PS8w}5-r{Dv&yPUYb}SK(88?az?>yn{uB
z*KWYx17&AO{@y9`j&nC*$J0@#uEG>&tUvq1%YCh<F2Jd;LwW*XTY>6sQhvzHm?ILt
zM>E?^@&PY<I&F%9-ClIHlJd_hSt7IH-?!FU&%#Y<;@-LN(BHS1BSZfll%(|x-u`!4
z<s3Y7>d}FExV5KG)&gei_@X%q%SFt}n!#O}ln2J)hHMEI5BUC_%a+Fq&>ncnviQSx
z5(iw=;dahM>Tp=#gi_!YxSB1OIu5?Gz>shWZhb=Ul?uOFRKMT>A64h}%7(2P80_8P
zoCBG^^5I+xMa3An=xo*h>zCu~U+qYkn{Mj=_3Lg|d1NB&ZQA8P>X#qIFYgpMI`-cW
zQop_*FM5#;`^-4}AoVMtEB5w7c;cJ3LlkUC(WiV5whZmDC-vv+(mCd0m~nD`#uFA0
z+Hv{`EVZ?9#u>hxtEyfNpIIKgM(WSF5@kpOT(RNSwQKMR`eRnF;KGskueR`0DY~L=
zc%<sw*DG+pw@_LSd}5c2g%upbJoRx9PBvDsAlKve#!at>;af*ejb4U*C|cPjU}}rj
zPlm8$&7Xzu@L83WL2|wFIs80U;jYx;K?9g!HNoZ|{ExH6*a#jyc&>z|5cQ$g#aIt!
zeQBFX4>R>gy*&ww+e?qJ!Y#|Ay=w45W8Fqh`1jJ1{!v&zf}MsJR(Nzse?QFGCiry^
zJYAsIc@P#1pAnUWi~j|6h`}k`3-ogEz+9r1B%E$rt9uxZoEOs)hPk<)D&famRT!-g
zy%dG*-v{_>!Ytd&ns>re^zN5*;a|blM@W9{0ey}8MzE6HFI7%hx<@hbEPPdL!}IO%
zYk!)-i*V$DpgK0#yI`f&0`~Y`EVlzzA2Cbtg2e-+<oV$E)0X$#;X|$Jj|9lyOG<w8
zhjTu>e6$z#pqE+pffX9J?UjM){{}WC!w0Wr?j_$hf64!C0vzmbnoiD-NtLe9b9meP
zAL%;qjie(AwQ%tc-Q-j7AGZ3s4tU6AEScPYcjb$_TH%j;`f=v4T-qL^LHNIb$v9F!
z%qf{H-@{b_0xYC{T-@0D;3K?I_%thNk7T(cS_fcf!=xxu|BOV`H-Cn6KN`hEz$U#N
zhe-U&tN*q{!<{dEd`DpmtuxFd|F-n$my&+i`g?Ii9&DKuzwinEW^pE}7C!L)Js*h+
zHB>Q@{$ST#e@hZ?-`%~r6V}`{A4rb(%mewbZkT^6xs`mrhGs)pAH4ELYk(Z@;hW-g
zq<>3kncX=F`-fK1eS!<v)5N~O-%g7Je}-w~RP1NqU<;)XlHXgpJv{0wtYrFxdI6qQ
z6YrgcBMnqG{e=UEJ3ddtmEUV`ufncUwtIfVI;O`0s4$*Tlc16R3D3m0P;7!H3vzG$
zg&VyMD9QL_hEeg(68yn<z=w=a)E@P9{3GRSEPOd&*IQN}R$)Kc*)=lW@zkQ^p)Nvu
z#q6=Z8y<CxlB9$`h|+uV!I5@Cj`XmRZ=$CNEV5eSPXkNP)w@c-rz3{wIN>4-JvTY{
z;CXYdt*~qFx8Dlzlf`+{UGUEQTZ>9?tC+p*cKG&S^}HH<dpUMN6y9BN;wQ;Bet(mJ
zN*I3O_Vb1g%$A>eR0{U!2(&*9hXrmi5{Dn=f3P_VKaLO{J`5XDI@(@<uM{UvAB3m3
z3rvxGWL-aADK$7}re?|-=GzpetOA#v{(RX1W*_3GKMM=gcw4x^-2OpaM)0rKYv;-M
zweUzxmL;ryDE&eJ{6XwT$z^zNt%&Iz*y-JZyc297-eDRIH&7lw>Hv2L%l9S07VT}!
zp>VF)NM8orwtWXrFg$esPS1a^p77SZB-pD|wzmMTuQ~rD9zMs(eDWcz6g{|{22Z6v
zJ^2`Z7Q{oB3d`4f>5%+nj&7Fd0ysodOqV=AB-5VC%!Ajc**ZvmvV%v<=Mq?o=0!&<
zyvDilXA#`}KDDI_rb(N2dj?mHoM?Rqhk5da)WAErWSYtI&DpQiOzrR!!O3QlzuZAD
z&)ovYCr?)VhCB5#4$wcu^N_&qiXZU2tgGl|SZ?#NhkxMeKJNVzaQR7xqIvje^B-Yp
z_<e48{vy0PsjWm6R(o2KNAjINpZG6J9p=;M`tKL~D%45H5VjYe%9(*{X-;sSf%B;T
z@{s2@@5;v}7vNTH7M^eLoxwXNF2gUl_U$CcQ(|J$>j;<ZJF?>|Jf|Vq<N`<c7sf2W
znHsWNv*2Fe{Mf(n^NMo<>2R&hOJ<U9Z8BJQ^&Z?F-pH~M&zqXXpImZapKAIobnxBy
z+_iG}!Y6trl5Z_hSkG7r@8gq=V1+;0^5|E=ZyRJIxnPB_3g;`}4fifFlKgA=o`jrd
z<nNzd-c0hZ4NCLNYTz%biD80pQq#uYFW}Xlq;N6VV-wrPdU*6t7d^?prdGE*)&dt&
zzG0AuAAWN&YKG@q8AJEOuKL|6o$%EYOkv9K@Y%QdZ7^Gf9v#WQp8O^{-2=}h8ZhX?
z;#$J=r2Hm{yLV2(2Sz<~-oYmQcf-hh#5Wden{Id{eTwcf{JX5W_&prPJjvhyGdxc0
zcmum`R0<{YAIzrXOoOnn(!K~XpYrNL>>(0&o{3=~^DXYPLp}rWGrb#3WPV5a;(@2+
z^YxDnMLd8{R(P$G&(Gm`6kP|O8yXTNara(fCNjUYv~}lo5?6jf%hC<^1g3?N<FoxQ
zFzO9_sAZsw9N!qNb96s^^?uy&Ti7>jaSO?Z{>0MFGYsokPcVIk8w~;^$?;x@u#Fst
zwI`q5{0w`InMQqwzeHU3`v~v7?G#S(am@{eY35*;k*g6TU-yDy2*(V3b}Bq{6^{Kn
zpSA|KY2OYb`Oxz$Nrivme=jORXyM-66={ZIJg*6t++l)4SnjIO!a>}z)Fgk`P(g&A
z7v9bhvx(&IZfI`c<c23MPy2|%&V8v?$6#HWMPF(7$PrOjb(qfPqPIL8Hgs$4G<=)w
zy3b)a<_;C(DOh}b!t)4hNT(Zn34Ri@=%q!<FTcq;58HKndXRk5rt{l`?BR94C{L1a
z$`_j;X9o|7@w=1!)Vh&(Prcw9<NG}>!s-UPZSHW?>VO-`$2|~qM?VbatNwY*4jw+V
zY90b-C}q2nd`(`XeP5Dc(GAbsZjrcd=0XB2Ih(RX@-@9hs^l}^2H_`v{NaW`9*w*3
z)$<;U!SK&Mo%TZbOM2>3B&^|FI*<=HK050}=38G>e$Q!uxdObM)8R~)V`X*l*7{41
zIq+j)YlUuDCn4170URarT%!ZdlX06bg^#RFZutTir{4QX=6|EO_wV`)-}{h1R|^|T
z>;Cr>4$>T$Z-k@clgeh{)Aqlwx5I+VCGNB(c)qdQYu^J`d;ScehCeq%e;<K+wP^Y!
zU?rP3(_i4k0+orq@EMgIBdnM|?>#tv7eDf=GFcb=kqb^}q%L>{f4i?SBn;nXc&IoF
zXP7_#APLLsHEB)5&HfIj&cV&&qEFpQk?$A4ewyTSYS`~>b%tZ4?(|r}zrEUGBH@Eg
z(r<6T)FMrpVeqAA2YQ`g=1MQYG`QFB%UciF=069S6!^>YzrDV2E61Md2Qa7EgLlF3
zRdx1P_u<#i4;Y5RX~(DOO5pIflSVPH%7=H`ieRhX>_%jLqbkrZy%rwa^2(Ux7bX~A
zDXfM!bzXW;)=PSp_y1^sf0=C^Ao+}C5}d1b@O!y4{Ul$Fcgs`1ZrHwk^B~D*6Ay@w
z>VO}zn-7ruwR+8cTZiH4VvZq_Pqy%nntu@HxEFnv<lniUUbm+zL;lov0~3-zc;st~
z_XhZM^OnI8c*~my9U^dktx`Y9CrtY~UMB`;{WN?(3a|cMY}J8{rKAQX;Zf5{>`R5~
zwS2SxCma@5{n-ZYHZmL}>sd)t4s%wpQK$I1Rk%4qQpN#}%4RmD!g^SN-k8dDc*pk+
z6I!@T>fB3j_*-MS858U-L;KbP-t1#B%mKT!OQ*%dmEZI}?t;Z;`X9u=oZ*Mg^T45B
zBd1efs_ViRg<xh|>A#7vH`C^eV({seWS>0v$M2O(GH`LdTtqIcLI2~@emG4wnY99z
z`~A^E8E!l%$x{w@J{%cWg_l%EF4e#@Om8MM;qd}{`%0K`WMD!EernM6`xTt6-aUC5
zwpufyYKBJwzf7KmyFv>?-oayY!&4XFgU<UBdtj4$6yLAFJHGnu7=v5c*QRY@WmYPY
zPjJ_~mK|A7{pmkH_XnQ-seQu(uIaE@{|yf+m(P;**Q+=6Uv4SK`+z-F^CTawZLqPI
z0d`oi{uu{b#43)6!HN&vex<_7OZUHv!1s(_|9$}9vQzRffp@7*FO|Y~LNi0oz?a*V
z|2C1o&)J`z3SVWozDm}wrDY-tlHk{Fu3jX6$jDRSW+@!3UFb6iU)me!^AIlfrr$6O
zzp7w<Q2`%+r9?^coy=aH?JkGUX6E>le5vwVV=PbM_vY^dNd8#MjL_~XxNT6Gn&cC0
zYALx`4-2q3(=5R`8MD`)!Pl>zq+NwK%=}&Ggg4~ep(pu8->Kv%+F>)#wNR2@MCVqe
z)(ba?%SVv>qMP$G`mf<76_H35*v)b7-6#0YqD3?(EGo`3HVjXBUy0cT)5Ptv`T^hD
zpBpCtuY@0S{toXE6J-~ITNs-v7vLOIYYqum#`;^+94!26A(7-8^)Xw}EW>7ZWl|L2
z^6mikMVK}A>vm;Wbmz>_mPeTXZ4=vd6#n;T(>DhAo!m->4!r%=l~MtC`JYDiX}H(X
z?HMn;{g98qMR-?j5#4dvr~K_6D|mPG6An#yXY_df4cJa*ZTJHGJ4w0F1(p)r@ZAhP
z`f*ROFWew@@0U0Hk2<t882-+cMd1l|vc20!@>TjN-n7J%zi&S*NAg)7FgCx7fkpNI
zt4xQhgr?I9;QADnnp~Jif8aqLtj1yUtQb~3ar#jU{66t#O&)ywq0Rkvcp|%9u>h`q
z)jHV=3#)a@lYAu`)48qzSVsF^Wd@u|t<Ulq*1XDAdIvrt;W#w~SAQ6j3WuXZ-ia;1
zzWxd#u5eVt2kKS$pe1F&EqJv<RdeHGw14fHnPzaD!ftkEcrfY`&jt7<M~D$8ypz&{
z^Ek}8c0!UDwvgSQLe4*PM3sXGd?<Y^j$E(pl>Ww&q<niiJIROX;+aiRfQ{pV8O7n<
zDM2??U<S!U5t8tf)#77KxZR^Am=~6f&ra2af3v#NlKS-QC+n~gEO)1dn$)*z4&&Wt
z;m`**K_s8e{E!jrC3uHN-fdDp-(3`>z5-j;KBwk^k5Am{@Pdmv=P60PjMS3mb6;3c
zc55JsCwZj?rNGBJrh-X*Ev9aXON1lK%NS(g^5Th)&*9ELF<TU2YbJ)7TKK8KD;5nn
z;6vf!FsxBi!hQnYy}yNO2tIXAF3A9{`}MnR0oF6%Pdx`m+cEUd!JYr*rCY$Os!^jX
z6&Rm9OV1+tNnsUf_#INTSCu-s&M^9gKa%i~`Qv$>a1#>;wK!aRlusfOj?VOYX9;)g
zW!+2aXB3}ri#1%i%qC8*|Mt&&b=={c!c~z#*h)fN#S8APp%4p&_nGuJMZkdv#)L_J
zRfm0lWi-rXH1U9xZ{w8sn+yj_Hs1Fp<=^d{xeMFAYZfB;S1-Q#N#?>)bQuC9|7z)k
z7hfLSyg%z6Io@quy%r^K(ksUt@_pF*JB-WW8NFM%q<s9^tq(8Y^MxAOj&R>=hwf(B
zXQLJ$xgX`7TUff_*c#^D<bG9}eYWup{5Op)%K?_zu=Usgod2*djpPrm^Uxmr02^`*
z?6QMHGR}LB!zlqt+bv-ZOZ^*P;ow^-cS(C7ub*Ew3!hguNG9z?KwV<)PdNP9X)bbo
zl()`K{Do(S={U&!p(Q#rum+#`LZ5UVPMeY0x#<b!2QEB~Bl%+IAM9eHgU9EdvYWvA
z11=|7V1t)eSxEcTs%Wmx4vT)e8fyff?yn5m3EvZb97ggde_Z#r<%0tbmobw2EjD$a
zSQM7fbe|{rU0J0L8b{!C$}2aw!ZHWn1#81<uPINEe5vH-px@VEJsH{dW>~C&<IyEJ
zj3c?8^k2t}#zJl2WyN0QVz^iKhUR5><&fqfk{^|oy+P3u-b5SnG#6gW3;kmT9~iZN
zoCq_uW(||_8lNg<;^CpULU&DIpQ^o55%A7CMG@vOznN=EDBM^pecTA195>7Ngd1!n
zq)g%HXQe{!@Rxg~GX`)HbvzI0-)(r)d(OfttUofX;jI^TMxTUJU*3x$;|a_4muJcG
zC<rjJ9EX3bscbWZZw4{_BjX!J8OmOAe3^{_-h%MKH_p-I_!J*f+tb06KT^(Kg}=%L
z%`w1i1EOg+;EPmp-$?#Ht9pU2Gdv$yZoL6<nz}=cUT~!1MoTh&>oRex@P$*XHe6kY
z)g99h#=uM8v@b8g83XUd;$i#v)-h6km+Q3~X)wP%(<d?>tht?YF%zcwFXF;)_(OzT
zZXQfG&}I4qu2iu}EPyL4JIof~2)CFWPvJ9Go6b$ciwn)0>)>CqG$!+;e9HIOE?9)}
zpz##^aF{#r4a_6o*#H0dwRb0`U;&lsw<I2%LaRIjvqdtz{{`QfJ+8H-5}$umxR<;i
z5wX`-kp&i_={il0FFsR(N)#?$`J_*d&*SB#-(qm#Ol|L9c&$k2h!IRn(a=qf*PY5-
z_AI=`uIUsxe_H(<e*Q33X0<Lk9}ebvj)Aa(h|)<i-sMkm^12V(&<g30@o<({@r?&?
zc>4>zO^9Dg?6}nizc<c2{ts~l1sdB<*gEgmiH(S_TxXvjh6C1HHOck6+OISA3EueU
zO&f`SsQ*~741Wtve@Ws;wsNJf!VDp6uP6~0uH)z1T!rVSFAa?(|BQRcgq<1Q@pxkk
zJ>s9z9R5><Q%m(aSm1MI`^uEy|IC?m*kOl9<qJpQ^OCuSeDFO!VJ1?3l+~tB0G1NH
zcTx-P`)_q*A8dY^-cAkft!+Cm2cNbNC^=5bZ$4|K2Kzb=v}wSGrV`&Y;Qm1U&ARXf
zyXtuZc%wmruqJ$BKH;VjTzQSoMjw`WvCG2(9-~kS(uNZ}C{``u@7yIVr{J<~^$pkI
zoXu)|dT_j?xSu`ja;lv347_#4KF}4m$x+>72)k35ZzA_6JyVI58EmeeL+=M4u0P;%
z4n95~7j_%Iclut{C0J5-M|=#dvG%an6i$?4-%8qti9`;LEAY1y$-8pkKsqMu{EhLv
zMRG<iY?|-nconuA8OSMwn**kNE#Sel5q{D>86DScw1qcby&zT#U(psHv4p42**>g;
zcXCAX+<>hLi^@oQ_iX=?I4M7>@oXPy4~4{x?496*&Fk{r@V}B8F9-OZE?d<bcw76n
z`djdwh|{(GFn_6QrwhE#`TAj!zdG@=hsg&{Z=Kcn21`)|iIVco6U?u^!~e8LZ2e%B
zRsHs#u%e5!yEjZ-?{b3V_dos;TpI*uov73&<MG`$`&w_qG?k-o)?rz?y^P^-O$}ck
zHQMv;MJKL1@T>Nd#<Xxi#VeB-IO=Ge2@`yL<7VqfSatp72QofSo-!*;gtyPpj*{_D
zL~2G=9PFyAdT9sjkU#VHE_|-?wk65;kEj-*O@S?H>%Wrm70s-Rb~db&Mm4<`*1cG4
zoB`8lYS@wSx?$aN%6)h?Bg8=tZjKSl`wuQO+2(W*7Wz`R_c466%FIm_W?uTfzYM<K
zTCl7JUzyqGQ4Q}-pI_649WR)KJb}kgtND=eqmFl0TOAyd8G4)aj~=I*-am!CoDKw?
zg{_6OO*`PRrrV)pJW6%Y%DNTa`S}yWWteR~zwixw^}$|d(*L(uyr}Aeuh~V!*uq9?
z6f1pjd|`hA8DH$-<e+^E%cSHbyTK;cqr%7G&BMRbeBcPbjFeH>G+j)9jGyA4Jsqd7
z#{5jwo84qQgiSr(Z-)77$_2^zf4_F*Ckfb=?l^A<?6DBoD-GMMH{2s}wGVqzwc(HN
z^|MJl+JQSl2VVWtBS`Z3HOy-bEMdRRXL!l@J^SOMqt@_;b6@U}xc+P1&Hk`)!G&xR
ze|GrjhCrA_U|BE*cHB4eG9A8Be2tfk=N7`=RcFCDZ<|C@V0EtLqdjo!w7?#czpwIY
z;lMkX)7zx%KR7f>l8&hc?Qwiw5qZ9te=M=e0@F9hJh~4rv-WS4fld7#i!<Si$NHD#
z;OOhIho8Wdbn?f2;lEp|_m{w(e-A0$hAFR(J|pq>Qu!Ox;6qL?UOa;@^`*0<zzJ+7
zogJ{g`nilYxbCu6PcOWBSEKM1TwPdgJOnrNCOUkAxnmxheuia_dUy}R_b%`M{0;6X
zeWAVxYm7*Lor9MSXPsPty`osG7vNa0intZH)0g4;U--05WY!-z=y;#QKUnbgV*$FS
zm@hoi>$0g4{bO;k^d?x_wC)crTp5(?xCP$Z_H>O2E@Hjv%K*oP75cEk^sFu~*x;@9
z4+6O0_;qFMAcgs}f%Hu~;oX8dEL^asY#IYUEO(QYn*%P_NQe-GC!g=SzztvA79T4H
zN863q?tuMX$FNJn)}Ox?^TT?Yk=%#jOa7)UyWr&gaaqdnxs^-wd*G6h=zB-u2QwVo
zNcpcWsX|)ti-;X(_rkt$$zu9&#;3L`!f;{l{o+$_XI^KX6x?8W@6lO!pNZRJad=F(
zO3oB^)4H`N2iu>iJa`$lFxyQf1BXp^)n0)cZgOiV!l71O4Ysh{*XJkq!`WF=YB%64
z{%3J2FjLZ$rVD)c&)KZQuz)K=yBo}IYWP_LUK?Y0?E^>0%=|b4v)W3Z@`tzW{3>-E
z*45i*d<SMLcR#ENTl<&}guywNZ~ExNR0C!svGA^Q6yZ9sP+9ne1o+XurA|Y5yI<s$
zH2C2izrj<mVd|1~Hay#7WquicePi`{KCF9n=Gp~#x>SC?0A6`NQe*{JtST;+!Mz>k
z)mPxjFYa!SVK)oi6+8HEp0C$axUIUC#s>Bnqw}waIsJ0OJYdQ~*5Frg9ozO~H`sX1
zl&%f7P@^97g?A`gZg~TH$-7K=!EtgG(Y-Kp#ChQ$IQCmz!XTXfsa^Iq{PLJp>PNU#
zFtsWU7Nl^_oPdL#Y-o;#r!2a8zrpLdUpA${x8gtSnS)gmkFh1fHd%@fe!@A0qJ|l;
zz)`K@WmtDD_~KpI^%d)*b$IN#)|W!q_a=W8brYUnbhGF4;mNNN2WjD@6(5;0n29b^
znF-eT-lJR$Tbuc)v%{B%!y4=0_qXG;cEDqF1Km&IiF1CsJaFT1xIqUT7nE!u1lt~a
zd%hK(-?Oz(1eRMX%zgtGwTKN#!G~Y{c-RGtI7)w#gPqz^q(8#jwx9TN2u^*|clZMw
zam;*5mBgQTHcZ0>3m&tYaOK}eo!?-M90^x__!^r)9Az!~-_IvKjbT5B)0zJem-PQ{
zi#0slGiGxDaUJ99beG8A+dMsg2sT+cA4B4cQXGPY@J%}2a1uXUIm3Ad78ko2a}}=F
z^iH#auTzSJUw}nZPDk6ozM}88T!xi??d)-c`Ok#XnZmB$=bByMvUkH<F2aT{{j`GN
zraXm>25?XZzjOpVW%n`25Kg->b29->&kpj_g;h*yER*3E^Wqy%!Vhf%^0VM(&)4f(
zFz32%+JEpjBUir@@Q4T3NFgjvS>~byKXbU>Tn10}onBUf_xRqVsex(NeShqOo!b_E
zJcso<c^%04543KOYJrvPRV>N%lc81M?1Cu|j!cs4H>t4cTp!G6I9EH5`jlXJZfOSA
zs`XI*1?PT~KClR%7Sj~zhll&ZX(*rJd6w$c{daI(MQQUg;`RdLq2=)H1G>Sqh{yVz
z*<3-&(@V87!yYEG^D!_Rt7qtL_yI+RV?10je5peSj%wO^l(c7T9+$5w!y23HTFl|-
zf>RHU!LB3s3l-s3%U9M$aF&g!$N|_SxJO7Au6Ih}-v@uY#j@ih{ITF<Hff&&8@3N<
z!uLfZ?h3=)?1ml3;VQZlTzlY`{-&X7u-JwWw%xG3T&&ko*n6x$d>br>UuhSI)$F$i
zGs8LA-33zcf<wZ>GWw^C>9#Wy`2PFeA6njk_-WJoSH|E63TBhjh#y;XH_V0=^xHmv
zf%}~jHFM$Lby=n(a0#=ke;EA4j?MTzY@8G390_~cY<$xV?{v6S;tboDdbYQ~-*(#P
zxWSwb-dZnV)!y?L?BOqBOKQ(y-H%oVq`tCoZc?d%^T*YYr-%9ULBE5K;9ug$UR;3>
zXlBTh`AubxT}tHs5MkLRP3AW{)3!^K`@@0an0OAn)#`iEF?jWLi_l$oYVTO4Hk_}v
zK_C&{KUlouApC|akeiIBE)HdFISkJQ-%lgsvpMg84q2G_-QFZJKC}Mh@LT~-_<nLL
zna?_0Xy7FYmzTU}BJ)x7c8Bcu!70}%BX7at=XXko!cQKAgpl_Ib^JE)io@&7Rh#VL
z=cywj0x(ab5`{Iau&eHk5Zv5z(}&C_t(c`o?S_pvQr<WTABpC%5{6$6DbMJ_?&W_3
zdEloX3t#Snl|0V1lH=X5-BgpzKl<r}GLY{x%jYk)hUWo!pMNdK;pdej1%F|?_0}LY
zxKCqS>K76pEHOU;*XMX~j=|d$U3RL&!S^*czk~PN-KQYu?}_4*|G(c{(_{Ty6_#1^
z@@+!=Yx|vCa=!E1ey%sbbn@Dll;H>tqvaYn{B7^)Bk-m0ZddYt-2uy3R&xFy>B-zI
zgW0ZZqbA2YVOKUsp3gM6-@YK<=TDpKmn?YT{F^*d-j;Xmat7SIE9?q6-}|4QH&24S
zFHoJ4gE!WE`#_!#mo%PkCFfhB>EW9o_ykktUs7IaMM*yZj#xIRBG;#=@t?X2Ja<PZ
zT?$^`m)z(G|8*NUN6vR=wPDp2*yeSbvIJ~-@wfbCSi9-?njl<pzhti=-1K>UbT1qi
zWK?hp_8cn6<cA-zKguQZNe>y<WA?x!Y3BS|@MiIRJ#LsgnuAjjHt1EACG{anzcumy
z>tlZ==Xbz&DZRtU`*7c{-0b6p4OSHBg<-*Hj(9Fu#xr(-%s1&#ub7hKQSUr+lgvjk
z&ZcbN1^@W_OuPc~4|?yX997^all{eH{gOWN>=R9RbR$D}1Z?km;?g;|^a1DQX!yBi
zLoT`hb~Hq+xWl4bqTFrZ4V}U6Zt$nK9Q!ZBGSQ=J<ozi>9jVQvz4%g8=1qQ|2q|WI
z4`8X2={E=9Q{VsYD}jGmTw54|jl;s7E8#_F+0mEqM4FCvJ-mNz<zg$WIXfCo+W$*(
zV<s<P))oivc6gUU!G|WeICxV-FN}>=`<}rcspHE@f55Z8qo0(QDR`#v70$c3^yVpS
zJf|fx1^;Th(@WmRa@*)w{1?{$ZPr;0C$O$(uEAmH3ti;>tf0g_f?LpDmPXdMkoEaE
z+foh|c*yx|8(E(>z0iM`7p@lH-BbZzSicY<08@sAA0@}rPqoAFF#Op~Q{@S48UEi<
z6_{_!v?@6sjo&Tp`f$pNEJgCZ*DDSEX9jQ~k7F$<-@`ce&jdCR<9|{D7gAcyo5R*j
zt(BzwrY8|DH{hgEhcfbhShpjK)lE3cQez*<FW7Y<x4<2qjQX~h<R8d43Z{9%YH77a
z<o&U(oz)|OaPnq}xG1<nH!C*=)=<B~8Ua^bqrG$oo{mVQ_JJRCjjKn&%Ij|fJmG_L
zT9m=CJROzWb-0d;<4ZU!@kn#Y2L7z#mJ<M53VxikfVVBZk0a&xyNTFef-R5kKj}lt
z%Nt%k4cGjhk|D>F_u~HNlW?B4=Da6-@JRPN@_TSm&!>9*VG~+mLsfXsc8wVF{qAe&
zXv)Cpr{6pJ!Z)=ZzLJ6`9!p5O!3RXm9`Ar>+@?4B!I8gS%5cH9waPC@-01lN*BbI^
z%1mj3$?*z)u}=95FJ3TIC!f#d?Bg>6%V&S04S_uuDgKfC9#cz^m*n`<2XB9W346C$
zr;zyLJ<K*u@MgziBXT@CIsf$Y;Zu`c+sXM6(oTMT51u-?rT;eEi&_^A$EU9skhmvn
z)}ctaV(NeuIiBjp5J_Lyxn_rUDE#l@Xo){8RQ@?U7G`a(&2fUKUsqjEhAH>3^1H&i
zXZ*^tV2O8XOqbx|`n>@UU<0;`k>_Cdcg;_uVL{KfU<26sdqz<lyj>}H(=k|QBFy|6
zoMy4|kK}j#=rPf=gPlJ`{5uG<UU}4N3g2X*UY3Caqr7U)!)u%G{UPsjdDFg@)q~x%
zcK;NDTkYcoPr(OQe>sr+GgXhLpS56-vKuzsaD$ph?+G}?XO9iZXRG|xq;m*nQ_i&@
z`EHym-b!SARdX(IoV?F<H#>Vp9)1)@H9`x^&>Bx4fLDyanQel#-@87LhTZ6`jQ=6u
zjypp*RTh4=qGU|+@vin?VJG*io4JbiG<?gV>bD3Su~W8<<oj7Z>@6qvcctRv#?SCV
zyvu*2ym?NM+9%k5Q}l(MuuW~Dd=LB|XR9h7Tx(kRq#I6*{<zKs^U?7AR|AhHCA}tb
z#hZKitKhYT2NB!hEo+HPBwv$%ukv|*czItzR2J-DqqB1d9NEZwCk0Np(80(Je@-&E
z6A!0&jR$Rp&&zcAN5CDWX0Bws>K(lKb_jf+!hZfA+Ox0XVV-`l$DZ*~GXAZk==b!5
zjaYx0{6w7f(HR$K_))|86Te}%O^;mcVWtGDm*a5T3we8MIMDy~6VjeONXW3afUOU|
zm3j~VF%`UK22)$h^A5uDC8^iWz+Mb;cU$2QKLLxAu)1?hSO;7%Vll1@zlo33Y=TEc
zXNQl$Kg}ohzk+w_c#Ir@A07Nq{sg{|OWUsq)2m7RR}DYb$my4d-8b#tMfw-U{Cz!=
zFq4kW<|0zQWuQkCKK#ch_%8ff&aQ(WX7x&U&44$(<L%^zX_y1%$@5O4PSwk8Fn@2;
zXf&*pK5~p1e!r5yNye)z<?gC<@ZO<rS`T>AQ}+mY|Ej;Y!2cTjC2dA=4V_)c{K!o^
zSY@K?&>xt$=kc^DY|Y{zKM#vbjD0u{OAMS>n1*W?9~tSv;Y`%hUtr0Y4@XbInT8bm
zNWS-T)%<!gzLHCNu$Sb6XKrsVCF3!7lSg9Y{igkoVnoUK=w!b69+F=k-d4Pwj86-v
zoP}Co#pCwzWW3RQM1Z#erpXQt5P^46Y4MSK^+7uIbxzpN^6!ocSSZ8r2N`b&yT_)H
z_m6gEOBb@i^~UOn<o%Gj1f{ziunpTN#{+n&f%D83_@GT3a}I2<jaQQe9`BNk$%L(K
zmp9VEb6H<Qli}lhYrh!ao!xTbad5HqgX=4J9u6(~9!TDI;Wy7SUxz7OlQ)IJj`|)u
z7U8Nc-3_;4mwQeO%P_y{20vf;WBt*VId~6SrTZ-scTucbfc?bnR!F}8S`CBqcewAC
z!0#I{|C<$yA29c!kIr^*hf*8w1l&fMbc4KK<X=(2LZ07OY>no~`y;1L_;-DRHx+N0
zGKDkwt?S0%o%KD}&cShGG9E*4h)0-(0qnMe!)65bmplDMA5Pf#QK%0-ZL|5K7R;1h
zyKMlL>>NB#ey{v&$?dnVVOy{GvnufQeAA|0m_OKZ@Gv|z#_QJ(_muIxm4}lLFWQs&
ziOZLlPRqiYIo0AX;Skz#U2!<k^v*6azcF_)qMN)Q;yR^0SPw_}X}0pi7pXbg8sQFq
zVQpU6xAt8SnJ@Xib6kzQ4??#;4I3w8y|KBaX&Wiec~0gDoZ7EcMF-0p46@e3|J8^d
zpn-oLOz3_D@00nmZv(9ISNAz7PyOuOqc!|~yfOo=XE9t7u9Y_nXLMdSc?^5%sS3})
zOcMf}MX)5x)vf(-oeS?*5|_xZN+iE`-|p1=ABp!J;f^N1hwnM;6juU&e<2o2elOqF
z^(|v2e9Q4m82LT@Id1#aY`E&BV00Dicam?G%ztIxo48X3AN^G^Lgu&XZ_92jfZ5wh
z*~xrb`@g@N$nW<r-8sDRIy~T^M3({c<=pWyBc`IIN+R(rX1fb;g_C4JJWTKTSmX@s
z<+|(@0pA^x=Q4r2>kNED;C4y(SZz4DlgHf;HtJgRBlCyd(IK9ma3h1<${{$j5bZB~
z@>}7QGJL;~;jbMm8Sl#@1eaePU9g1dqvn`IVZKkruIJ%9x1MUSz;<$>4rk!H7y&tU
zxUY%N$pGF^rC&@1%kQDMegZzt^f-MJ{7)*+{uoTTdx(R~Z+m8hTvLHvD)w($hOZip
zem@L5Ft)vzgZq>kzsSSSsQAmt{C5GH@1!)ms;9bl48A{c>;pe+jg8#C!IkmFX1p*1
zoBc~NzrOoNj4|2Y;*;3Z3Q|5yZLOc|*TE*LadQaP?0eBc2hV1A>5syPE#!2`{v@1v
zhMNcA)bwqdWdD-g)bXpN{MVky)-~*J@>Pbbx)(kh?9fQ|Kk4{+D!&h2zC5G;3zj<G
zXVC?(6qW5K`>7~yKCJc@=6@kuL-t$w&+gg3cDUAv<1yKf<(2)^4^m#5Eklm%*V6yj
zs_-TJo6lF0?B_CU9+TP%R|GMZy@r!nw-`6T_gH2NT4A5}(np)%y2EV6O>o@sp68EX
z?stFk$o?@Mqw2*^;Q810%Zg#q1B_gOa9(vvVIJ(cxSKWvrinLHNQ8TO<Ro=rq4Q^?
zqu|d%O57)5B}$F`fv}z943iWrwW_zz8(wLeS>FfiFlAP{z-2e~$Zm%x?w6F^fKPth
z&A$t#zvdxB_U|!>2>i$nZ}18iw}jWt+`G2HQ+b23rm&<Rb^RjNbDn%#kT8V(bbl5v
z!&$uHk9A<RA*S(9FgHbE@lm+_<?o&`xVgkkRvF%uKu6mSFNyg}?1#HECKo&5ji>Y;
zOTpR2KlfI^Gq$&iMc^lWZQHA0M)s@a0`MhUm$*DQPBFe{7p(YJ)4u>Ns*je~0q0*&
zQ_6v#T&@#lhYJ+0iQj|2zJ4Lb1lKZbz8?>#`!4LEg+tlj#V5gfmehNxVA<ZAn}gv}
zz5{|}f2ZCZa;taXKQE8vEyJB{epP<(+`32hPdLL#IWGVn){5evgA;T@FMGlcYmK|U
z!Kr7|PWiy=KZY_V;24weEw1oa1@-uTIQhx^cT!&d;$@CLSn-8Iz7w3Vn8-}_pHgBS
zPbB62Ue?5Rz+aCE8{B{edU=BD;3+XDDQ9?g$t|oJX8Zj+-vYj}p*XM{ZnTO|x(Z9C
zvxPo{yLYfK8^fXH#{=%e_T3NG&%(CS2P4wpx&4W=`{6&%?!jcgtv}!Pj3~l`##G_a
zuxD1H(O%f_!O@^Qa7YZV23e1^YLBK3hVLFSrq~0QC%>iig?~j3&kDo)FY*U^!Fw%O
zig@5N1y_B@{$Q`S#ijDYx?E2woM5qS%|<(5?U8>gWPdS!u_GGXaM6OX_cb`*@FoQZ
z93q?Ub{YQBJ~hh;8_q5Ny#QzJ<|<-_w?0(<eHK<&3QuK&wVASA$^K>AovV!);Duvf
z9rR)9VquLfaG1W%FC7v$GN9N53sA@ZI0~E1J)5P4cRgOWSBD?Gm?+!;=Z|aH9EO$Z
zPNY)7{|;2l9E2Nd9F116o*Ou^`c(!l-S$p>9hU!We@z;8Q2M)J5w4=Iwh)D@R*h!=
zzzs#xUxnam9rwaH_~=RZQ6AXLt|w&yzL&CenH$cUTrm6&%haftZ-X<fkE#EFKj**r
z#18Lay1HQk_S9e;+6)KISNxcS-3MdM7+}MO-hxlC;KB#vjW9bkcgh%SFJU!E0ZaTl
zU^oO19a-sG!2Wg%?G4goeLA}$;^aJhxO;G>AGR&)J3a-go#FgI%Dc7Mb$x|D1WG3N
z!d6ErTRy=j?5%>xdUzFu!SNCJV2jrgvR?k?cbdj~n2Ehyima!fH#yw$7B)_7o^FBj
z+k;<_{rh6oeh;?8PVdDu+Ts0ko01yg`9@deCiug;bl^*P$(i>>13dapRh6voU*7lR
z$s^cnf7q@jSZDk8TC#s&wt8;DBiP@=@<|>X;M#DT<Oc}ya33K157u|KD;LALYu98l
zV3tec;v~PoNmJ;_UAX%5^tXKYaE?<c+0W3Ue?xyEd>~FvhU|A3dz&WyKiJUvwm8`j
zv3ZcgpX4+66*0>M!6t8Z|4o2pqA!a3z<;bnCX-?F&*G(?u*c)QxzVug5uXBQIQ*eh
zEXl8UbWmU15f0^-)(wOCx8(@g!tCDCha%y?3fBT_IFeiHPatfzr7iao95uLiA_VR`
zl`BN{dkniLoZ|~~2`}-I{UB)?cSqlb^H}?Gjo{#_?I%3ov#qUhs_^gHuUiA)zoKKz
zWIswT(YdoEe?(@x3$;8vu~H`&3)5T=_umh%Ew<cBg&n@KxRU)ZHQB=rv*2sug1^Mz
znY5%7a{iJIT>2pht1>$Wlk>Nc%GpL3_MrA_C)Y=#X6!uKZ_~X(CXeKEyl`IlK=w;L
zvS0Ok1I$`^`pp*jugv7jS8$xgMP0K0=}Gk^`q%KK#i2uF|5A#Db8ks~wc0pVy$(;7
z*>aNl{Jy?Al<Xf%tF0JB?!Ws=uQoTq7jN?%A@?7}JpCfszg9P(<PW)@3tI(l-GluD
zqaH87<yy*iWItT~p65}^@ZNJ5=Hg+V;k4uPaB_j`co3{OU%O`s9{ZVjH2|jFl=PY0
zuRUy!O<dsA(fiMS!LxB=BaX1@2Jc(b@IJ%!dVQGv+vlC+^C{OF4jaIqud`ev?Tx;9
z*<L01N8vdUM!5dUjeHeS{!^G8JDhPwJ#jBA!d@-63yyof$|?b8El%GOgzwJZ{mTNM
zlszR$@<-y{%y==u)?HlRNqc=|wa1kfjy_`DPuly3{vs>Xa3GCjJZY~>MVWrDW4~p_
z;ah&By}z9NYGoPrrKMQj3SZPK{rwY;<32h;+UF*D)?0HhYamSyX`d-<{>RaM$8+`l
zaR8?zNo7PS*|S7O_8!U3$Q~7yWK$IFG7=g>MkKPyCK-{C5ZODc;afxq(eHJBe?A}Y
z^WlE(IQQK5d7t}P_4)>f{nd&f{d3x%lZ#XEQrKo)(mxAk>dub9J!jNqNdLTjxWs!1
z7U!Y-y$Kc)2szsZuduqblJ@kER=<CMFOBlwCHrSQ=lyUMeB<d2$1SiRZOvpk92+`2
zK#up7_>7SP*vf^aiR@q6RUwC$a6@79ZE}2TX?NOYz)K7Nd6ND*MUc}m1%AkH@@*2n
ztF_H80rt#r>;4Mg?B_on11C4M>67#ADa|hX2k@cLNx1>|0lm_hd+^3+)q?l%l)l)B
zJFsq?QDO@$c=P=@`F(JHuQjWBctN3R$RD2Wp*h+JFKzleL4I#MM8KxH6yEZ2ZrB~B
zZ#|j)3a)dEKIIAz9NFSj0B4NcGP8%-`ZlYT!SdOn{Wh?+P4-$IT(-Qs)c{^Bj_oOi
z1=gF5^x#l+g-1Cs3w^S(H0&coWkvc&sbRZ1^84y-dC!<h|JXVsluv%Y-MSk;>kVfI
z%}VZr?@EtGlla)*2EiRL=WK*0sn<&T@Hm?e?zZMXm<>;?Tz|0%F7IDrCEJq~vo5xd
z-<RKVt57crKJ7Gffc)OPF!xniQa^V2j$ZY5c&$%={QvcLdybZm!?G4TK6)YUxM{QI
zAna^exPjCQw#d^ccfr(uTxUpq;1-SL+739<eJRrvz8SMp@)j1Gv%gK+d-Tr9)xusr
zQ_7@%F_q$%ND=(3N{Q71KI%7HkPkoAt?e{~^(bbtGhtUIr#Gbi+kNwg(&38cZvmtp
zGLw0RHx@2S5;QvocRR17N5h>CX$(i<2C4b@5ZIBT`@24zUbl%W2sUapdZ7tdJFM=!
z1bc~lT+@Zk1eu>)gk`pVlT(ND;x~sm!BbL8Or+j(Jw}k>3>>+~wM_-q*5cY~4|9C_
zQ9;@tPjq9lg5?yu#3kTow$9s3;IC50IHX|Kh_@Beu&x2^!2#5(u7zg5QG!2~$Eozf
zy+MWpqVQ}6V=AeirChw&B?veAUw%O9XLn1uoZ^D>nKJ6`!}RJ;Z1%wZ)U+=j!QvIa
zMt8yL)-LBmVH<6Z0eW~SuhBdl{_jkH{dQRNkPuTK`MgWF2?Z?4(KSulPt?fut`*_$
zXNsrYg1<_i?O234HE%v5?fJw%n*D}_{|*^kg$;U+X^z0Re2bWZ;I!Dfra{=1m9CA%
zcXIBmYK22j1f|`E3-^SpeSq_~4W0^s-(47xs)D=NwB$)WaZZ{|MFo7cD`xQ$e5dzC
zUJmS<J>Pl_E>IPf%!0)|)b9Gik8`8Aqu~AAIR@9^<x#=3NASwWr7eDNYm`&m9oR$R
zz}OWy@k&C<b-3?uxrHmNVPF095-fT6gN6q@Oz}e43*MXe<f1t|b-RWCJX}qadddpU
z$y2r0hcgAjg_cPD_0k>7Bk=j_!OSbL-MPLmO0Z;<sMcrrfC<l-H0)2$BQXI_2F{*2
z3?G%V_&ESu&d8k<fx}s}`iJ4YMWfC_@bI>rW2F9@<)FxEZg}=Ulme;$_9-}VlL=n(
ze3?k<%{^N;2JeCY?QAV1_2{Yf?;kM3tSy53@4*w9XQJ8Qm*SdAA#mi<ZhjIkJ=yH;
z0iW2Jb%4ZaGr!z&g`Lj`x6;BKTj-M|;1SL2#*J|E$aI(#{Bta^W4#dfuVrZ}ez>oL
zyJZRHVB9_{2uB-o8!y1)vtn7CuxeGR-cR`L`Hj&$aPde+`!wu-k<WN9%-wSE!vq{?
zGN;H6Ydw-O8iS?oGA=X2^%japI^l136F-vnmdEv*+u=(suS1#Oq`6}?b?~leSqE15
z8K0Bp8~FaD2|EMa66+*a2s8WDEU>^TR6*4*;Ts)2FSo--i>O~^z>L*F@ua;&t&nmW
z9H^OKPS$&v{>qR|g7qVhs?))YDeYAW@cSb+>l@)YBjfTY`0dh$?_|A*X~tEhNZ7D@
zXX-lElL&PGlL>>bek-|8iTIyU2lZgMN2i<m7vd4@Ulnh_l1W~3^YC&zN8MF;6VLUW
zY4~1vN~JFx-@oh0Px$WCsM-biMhK7T6wJ+iM$rv6e_o>e4K8F)t33}}U#(dgg^l}!
zD;;6C6@#g9SYPB-gFXDw)XwG;+_<b(YXS2zebMTM_sEMF8^MJa7W^t<<&4*QI<SeE
zuVW1yN^#Cy6W+Pszn`rCd3<ffND1Dozf@1w|L|xQ*~r4D85ZS}Vdk!*=HhV9MHhio
zxS59j)IqrHz?p<dI42{`h99>3)EyiREB~S&<AL{IZ&#0i^%*h-*<kLwilPr;jWw22
zdtiPCsqZ21&G<YUCfK_zq3a&pC(J!Y4;Obv-oFhS=vEAFflZ$;`3J#N*Tqk5hC4d{
zlez{M?E7Ft0l(j*%Y75BThtm`E5QBVL22j`i8GB2F2enb(TxG{o(HE+{f0-churdk
z^$)Ju{D4C*4!ilnTMciHeTO@RTZP==Tizu-gD{u<d5R0LL$jJ~KitD*QQ-pTn+%$N
zg8l50UXb>qhOR>&VSoM5lV{-qy~K`MxOCeN8CQ72HED|)SbWRUoFn{TzRkECZoMZy
zOxin%9&V|CMe}ueJYf0YjRi6A+gnE}uEGLqw!(4nlShseWPj+7Oz=m-2OPtu$^NYB
zRC*Q#Zy(J%ME3U=Mb)Ta*hOoBnyeR_=8B;Yg%u2$^^)KV`@%L|ftS{exnIB(v!mCp
z!I=+z&gR0yR~mgh;g@$`C>Ft=l~`xIVZ+R(o3G)67D3-!VEd3^*J}9blO6|mn2~uy
zVFP?=yQ-ZN%o4Tp>3i7Z<NaP|cr;9AyaP6TzN^*%zRd3!F$|v-wO25LKYk1CB-e)|
zHG`Nsd~!oX=6`U+_2XHZaI#U^%x_q(Dm_&R9;_+uUxFvg{^L-Er2<AcC~&>L=?&T`
z0pH>5Sl9$VdD9qv7;ZefCP(^@c`Lc&Gx?a`H2Zz_0Bn%t(Dn<?71*Cc`p@yo+PZQ0
zyMN0~S$N;CuZmN!bstruD!j9UQDy{IJkwF20iV4iQ}7vX7Nz~82cuReyC3$n>l!nJ
zITvp755a7a+XOA(xA&fNcEi^lyBV!vWtGO*URa-chXq+LB_=Tu*$%t;b*Yi{U$4*5
z?C6Be1Gfje!7D`^TUy}5u^nEX@O>xsTWzq~PP(#7Fe9Vcl}5O?sU<l8F4VlV^d6>p
zx%umD*heSmR~>A!xuGKnW?RoV{|<g(NxAzz%wkt~x*C3NT(#j5T>GGF<PFTmu&fma
zS1t^GDuf*xo%cP1|FQhlFM;1Prk%=w@6#=+ro&PU+hp=!o4t&$GvUxLI#){Jy-r(7
zp2OBn%V%G~tI=wiq<ul`g}L|e*&OkdXYi~d&rl1zPpa_TD>&$q`vXqg&o^8Tav=Zz
z;UI4S5B#3<t9co0W)?{;2{TC)8|A~FE+73R1vmZKedPb!ce>PH3qJE{SUC^zSGvw;
zbl?lh46jK0_)pKWjNv(-jzY4%2ds^wj>EGjs6=vLEyKG5w(!wkH3BbSZ$FuLCtxw#
zxo2ei-}QQIJqOz#&5R@4ANrha@jQG;a)3Dn-s5px-iP>d_>Khl!r(d|84pcPR)r+O
z3d}O+$#|(K(DhafEW$H#oQ$uuy%N@9VTs1wad+XbW;3(*;NR(X9%MY3Ey{L20^ZX9
zq&Nm%zI|574sK9Q=g5Ig^Yq?Y!*t@O`%_>^s)<TdnAY?A+cdc2Q;WJWycm{xEfHQx
zKdq<>4~y_SClf14x2co%zYJqTh|4=06=1`nrrY;m&D<KR!>~caw<2$tqs_ro1g6Zf
zNxTU2_B!+*fctLjuyTXVFKzDRg|9YU(eQ+C3(#3{!#kQq{yD)c+AmG^!nr;%-^l(u
z8(-eH8(vP<N^yYgl<Yn+z!ACG;b-8FQZAM|;P@?8+IFy*C4&hKe8BgW#7Vejk*9AH
zyt;n+rv-ffNmIxAOY{$|Z+fj^8L^e&Wmx3)P6J(7<x6t!983}AEMov?{urJ30n00u
z<tW1QCHID>V9SRzF)FZ?Q@-N_d`mXRSO(@Uu(cb4GiLrM$itB|K@<IOYF*rtI6T@R
zG5iT`85sL~7&dP`>DUe@4Bm=A2#c`puzL@;nY{}<1gDj&PBg$5Zl6{agty(98LEME
zPCP$w01kT3?^p#(RH#gG!$*$YFn<X<mgl`9?SosYhjL&JE}aYH`r$aVt345ZKb5Y{
z4<DGcF;9TsS*uX7!_?bpjH2LcC(r#P?GJZ8wS548{PoCz9uB3~H@^%2kuB9{f<J5g
za<~IaRu0x~fJ-BjZLgB{S}WO`;N8-u&X?d#ReQJ>a6S9P(l~m-?4jaxe_(2Z{Y%bp
zZCt<n2wY)4G3x*~hfed2!3)bpYj&{E4T?B2o|fI^wPX&zF5G&j6F$f?dgVBrPZ_EF
z0Y0i?>8V9NpPj(e0hjKb`mPPnC+xE9hedmhhUMXraOQ)f@M7YCxe{Eu^?}z{*!p9r
zku)qj6>2jLAKAs+EDMXaZBCwtTa#<vio;)YDDEx7Lr&UChhd7OfcACxw&AR_2>jn`
zuL??h|F6><4oJYuq34e<!ZoqUyuxtuxf6$&VQ0&-U1BhQrbPuG?DX*%!+tpIs9q{L
zepdPCs6^p=E9!@2VYk_pH32x!QfiL^yy;tzFKN%ESzxaL@4B_qlLvO!Ox7m--P@I<
z?|ks~1oj9+xP3-&f*roDM0bhwcMqqEY`I{a4Ix$JdFhdqjQJjTM8hYY^mkg4Mmiku
z>0hoA<ocD=Yf;|~=l?d}N3LI96RS$n-hHU^6nXwztZy%2f`@Lr)+5i0^SXA2Sm35^
z*@xtLGL5xeXa{V<#t}fCKmXYIN0Im)%_zMj*h7atVIQpWEay}L+_pQFg%eH^6iiQr
zGX?DTll^^k>iG9~*zC>Pb8@`=tv`s8_^G=QndEqiUj3v=`Y)v>ab8u}f%9l+CM?WU
zzyByqovQPU^ndb8E-5;&luzYU9=x&kU#1cK-m2nnHe5et_0$Z0nHV2b3A@zKrr5$^
zjgbkjU=~Zum{af_3QxgiI7WBw={Y#_yn|9BtZv}+&<)Osl56UPpO{iTxd1b22#j>W
zwp8_uesE*<ecoZ%FZ3kqHJJXjpB%|I+#ThAbOX*c8of3SpZ;3+BpB|it$REQU!AcG
z3xi!F!#RJ!Y+F|zMZ(QmE>b_?{gv;xMZ<4ywfQf?0hZ@?K806e(jUyjcPOQ7i{KM<
ze<_ua@5q+DYDW5t;GGBmBl(iZUk%%u;nZ73!YOdI*bMbs_{iORENL)H&exSjxVGf*
zGm?L^Eu#7T26njW9!m0WH%&HueFvwo?Ph6)ySUgtSHoJV$0%B1>J>KYT9{^Ys%AI*
zkXy{O0v<UuAle7-y)4>V3IACay+HEQeSei2O5hFe9qcFIqE8B{<?scn@)VLEPJXE+
zR{$4yd=H<2KTvBHk?(hHmr5teH%}<)=8*6AAFq4W3Ve3;$TQNuIeL#a$(LFzYsO~5
zqGyguko;;wzeYIePv>>!E6IGDb)rI02CUo9k<JA-jxgu8!n8a3O3C^^|4NPGF8EAx
zTuUtcwD90Va)0o2)^q(pK7VrN?hvdHb>F-VwjbZKX%xQb&=cPS4}9-g>xEqpu?F?S
zGXHJx8-RB?pZG8ayXaSVbi&fTi6xUTSL@{WZrI}Lm(?FIx0voAIUa)Sb|2^A)C4ax
za{S_tr7`~{pHJj4B**XQ&EbFRuu|xeCUSfZa|vp0#(Z|p)Xz8M_^i*{h|<ChM$8K2
z_?-Or!iN#wn_+d3>`yl*8tvWifB&wek>epqVH(Z}_fHhZq{DqV8K?MR6M=3<vOoW8
zUrZB$+n!KRCBTQ?VksUx-mvd#A{^%v@kZhQmUAcf8;7ix$7=BH&!*oV!2)0R4d}pY
zZjSxresjv<Sl%(1)5qVGTn|@-lYd*lD|grQ$n{dLTRLnFEAH6Ya0@oLv4z(Wesb+W
zbpRZ$%C`M1{P$*>EV<sEkGq+;!<~AZ;^cZ9)3~PS1sk^=&b|y^GU>Q^8BUqYNb!ct
zkB_=sfn|SJv0sE+K1vjj`h-;vkzMXEosV)nsZYrGrS`xRPPKmY`99p+kP|}gcY}%X
z&5z*Ne=|r8VgKEXj?0G2Chq+s|KE1_Zhi(_9ML#`1@^KRR(J(p4RKn%4O6YL8kfS%
zJMLWwg46ChMOVW$A;MR}N&5(+oY(LXt*q(CaAe8hD_yXqv(bD!+|<46Q3w1i?EA?S
zc*St;)HKXy8Fh{vuLloW{Jz4zW7@ss`lzsZdXy6NFy>~fBjkEZs`j#5N1W$KlL5Kj
za|dNbb|LO~>be;@|9Vbr)*$sY#S*N#E%0u;z*b&3(D9QoIe$HP3?{hX@{CJbeXtr+
zqnkKv$~9;91vY$kG*%cs5Uk(+4L+oIb3_tW`7An1#&fO<rcy$%MP{@!8Sl-zg!qfW
z@u8HLSzzJdffom0+X#=}Wc;X2x9vX(_?m9dMge$X+F+Lm{5?efsu27n;EIhD+{~FD
zCJn#j%nLdMk312fk%LDo`#+HNlyZY3J5=HOVy<IkJ*Lv%lXuDZSaUT>KndPc&Gb+Q
z-u97KQ6APf!4qT%Z{On6pbHyI_lBFngY16?$@<CbWv91T!hGRe+(s}J{a%I>F!iQX
zX#-ePCMWb1+?>=HU<UKjJ3KlEzxLC5Xaa|n9^B{&?<>tb=>l6wf1~w-f8=rdo`aLv
zeHL!OHU%-Ecj1lw(rdx+w=9}xLGXH*qU(KlyQi5)5-k0T`a(2pA6k7U0gg02t@0AS
z^*cm{)DLcVI&!oW_A!{y{{d^$GSrpBU+>R9T!6PG&AqRIYjw5L=isa(k80}SkqZvu
z8&S`AdDge_1MKNps6_!!{?=D-gIO%A?$N;b*=-Z@yu9m?QRxPF)n~qiJZ}#KTK=Vl
zGq?71k>_!Z`gjJ?K5DM)*f-c{GTDqC_TG|UF$*W%{(OELoFeODumHE6`?f&VcX&IR
znEi$8w7IvE`pq{vD(&m=@OIu~|6hM%A=tMG`GQPCi_@HlH|lS1qlL$>n$M8+E=hFD
z-3+ikMIaSf-{MyG%V;O;=zL3C3btJuwA>3n*UPb!fS>8~ckY9i#?qh5!>L=|4f4WU
z_*=_lU^}Wta{>7A*M>C}*h{_0UIe~!?<=Dc{9^J|{~=i3f7JX4T$_?MCJirK`|F|(
z`}{1hm4hc^=kj&osDnwTNj}7dg0_LIS7~H_IZE;=!CLEEjo|M?314;K@ofxT25{oV
z0tbC~|Ba1j%;49>N#{*r!*m9J6Zp?U`IH%4rM02P8m28y|7i>7wr%Yq>&HIEzdLsV
z)`(kSJqdRX6nmb9DQ^E0v4a`!>)DZf(v^dGYS&;TT8%S)FcnL-c>tUl;Q9G7EXeUV
z{x<y6#{L({Uv-M#e0LQtp^bDQ`KvN5r>#NoTaUXw58*y93r^Br<Xzni$%nNSDxAIt
z(`Ub0BKfjBWx>lKFh|B8ucvTHHf{9-xO4mL<y6@8$*)i0a7dx}VjAoy-myCx-uh(!
zdM;dbt>|DRd~VY7Qa(JW@yIJ4F3@qlQ3n5*^9XtZ*BznqtAt~@_A_L{fz|)6y@mhn
z*ub9#E4v%7zJtRq4LXzcJXL26Hnzg)jd|Bd{q>>h)T<<aC}9`;wg^5WogCN$Q*Sr#
zBkMokYTH~P`N&H{8y#w4hc4?o<8WBZ2j6Pg?0yx+6zsYA*=te{o*Y+2L-Lyv7N^_a
z!n_wE{{4b=J+@eP!EKKo;yrH|e^EBNcffrI#xIe4>fH6iO4IP;U(+{8zBNzmhw)cf
z=$NUTC@drFkm!PX_)SW;)udovvrR?k;HaSrS$UXQ;*KI&U(z)EQ&kOKiRUu*g}YAN
zuhf7q*p5Vz^&cUh>*{skVFBMPvR<TktFx*BEVxr*maN~H+WJ)cIJ`so9Ti!>^7-w8
ziWMAFAsbHCZ<zH8YoCN&_#2YR`Wm{|#mOY!{_Qu{wtnJ^XJb8Jv%IH&2H~!m{~nP1
z`~8XyH-Er?x|MI7g$EBWTFk?BcPZA+!G-P_39E3GZp!ad@a%Sukac+Hbw`iWa7}SX
z3w0I7M==|n?BM&0n&n&IF#Wpm6R<h$${GWVcRvqU!j=Cyf7=NsO$PfuhC7WPTModL
zC&t~v;WzdBG>75U9q&X+;1O|_h*Q;=Pwt77u7vf9{GZ#yf0`>qYvHcpEMX70;zgKD
z6C9klRn-+vA6OUs1Q%|yHwlN2&-IG+!%S~W&W6H;;yn9D;FN!TvvKf<4TZ!MEWLJM
z(-YX2)#3n|-w77f3D1C8&1EF#V4c%Z$uHpJukUQ%iut4meM^SRutHJjCMsBDvPAwb
ztbdMqod&)t^Y$%W4dy?1b}mrD52<gy+yOg<SbCE7QFSy6yI}QL6Q?!&eGQ4XqkG_q
z>oF7m;H$Q}d_1t(*RX*<@EbQO27dUpVTbuDEJl6rxCmUet<K;#yro=CRg8Rofx3AS
z&a8ZYM;7*>oqsa}voc=uRDh5F@_$9zbE!qF=)qeWPvrlA*Dchh4B-OR8_8rotn8!R
z9}oEc>layMzRXrCjm`~LN?8;j-$%#mfYC+R<|&&P`M#yn?x(%sE!_=5+u%-P@1M8e
zrtw+vov@&J{)QXyM+v<=7T82eOe+MgtGQ6N5B7+4whn|fo22u}eBu1+>4_+qbs@a&
z5FB3HME3xuQ2V1S0Wb1s7(IdGRrQQjVc)FiOOIeI5@}V3O?K_5ii0~7w|zE(U)dW^
zJ%*c|?%0~b8@u1_e+myB$vI;U8|@iWBJGQY1qV;ToD<S?MeqYhv&nO?;t@U0eA0fi
z!>}8iZM#3?4XkE)sOv0zM{)P#x3H>MvyMAFc+KI|5X|&4T-6CSRW~viCGk+nQWCe1
zezJENc9Q;?L*fBSL7V@=lgx=c9<XN0ht8dEFkYQ8*hBvRX3<wQyI{t-WIAv7-0L$P
zGH`<P8uMlNNsiCdVR+89i82JP&mOpb7Ph!-|K|qWc%#$B8O{)+zHl3^&XLXcf`?_5
z4axui9J+quDqP>0+;JMN9f)MR2*;Z@J&}j0d_Fu6f@5zf?URMsb*$~L!Jb_*OJx4_
zxm4)(P<X(s+?xZwH9=wW2zF;{IYj19?bn#=(_qtN#hh9A;_$;QFJYPQyjNP_-v2&6
zuYxlY?k=~%+||Zk-@(5cWT(h{DCOPY>JKpY+4xg$;kfTxsk&e_MkPbiUvMrT9_WV!
z6B3%sV7jlbIL6^hXNow|-#GfYl>dSgxsUIPfjul1*Op;*e$`ojcrIi-Yf~-G*TgUv
zGJnY@=Q+C#e!P*(ko1S&>faQw!1q3#Z6@=R$N7wx*kR|g(Ht{)F)FZJ0Dd{lwV(8N
zk5gIKMdA3yqCbaWO^1OfC3t1ew2urtcFKF;2>gPB@#KD3m5!l659YSj91@24V>1^`
z;nQPwP3*99phAlk{F^pHlM9Yd?qP6%-_gg3k@>^2cH6H`uoZ7(4l{fxU`5yyKH$~(
zd^^1EBfHxN9^16Q!2pll>$VAi<uhiPY2kK$rlZ$j#!9w_bnxEnm-m9;nPR5kO|bBn
z@4k28acyNP8uIzR;MWgf?RKtNa{qK<TzD7*vmeuO`3t)|itI^(`^`BlFeIx9+rE(V
z0>1S|qjMG>*%vjJ3tI;?XLZ6;Ps9>m!E!IY3XuD~`lasiTKJe{EK?Iqdzs-?Bi!#=
z6wwS9e<@x62=hI&@F(Mqj{RRcyJ5W~_oZsMo<D+h1m-A+Y<&*z6mP8m4!hF?8$W|z
z7wo+;2A7m{N!){HE!owkVezE?yl}W#zBO<j?okr)a)fK!{b@GUp?<MjX7MEacYl4|
zU&PN`O{*pIZ(?zKthOSq%JSxj0?eFX%e)beqOBGn<JrxVO<g1|>Nl1}#=9!*G!IC;
zNlYx71r~n%@XQuCZp3;o89#^LYvrPZO?T`3CF606`~N<Z_*~r8>twvn>m{8);z>Ox
zPkw<rA8Fds!YpD*lM^u8iA%dTz;%0uK6b<J?BD*_3<nf(A1Cu?7Sapp|FHeLq!tg8
z`K_lr8=YtnFHO~a^%}14{>?)HXEOPv=E4_Db}y6f|G2JIC>x&VR4ZD;=M7hQDaiAZ
zbhMQn*}f6x;M-wvnaDL(vVDd#M#r3CZo8(O9kAq=&&@9Ik8_!GyI|+S=@K$O!;^Bg
zVITZD(og&(Or>;^jvp?rUlOo_ljR#01>uAIx1Za<vuc_0Vz5{CddzWn-{)=olJNF>
zcXwLA1IK?kE5Na5DQJ!02a(3dm0`<wp?6H+s*6&wS}-k>i-#upeDSQCKFnzSds+)V
z#n)YU9DeS8@Pjx!{k+@D4(9uoee4ii*8bz58Jz9tCr{>UYPR3mU<12U&zF$-95HSW
zEk}5v!6bVh%=WBQ>@2K%a(1I69J@G~kPk=ikX{ysIrmBi7r|kM!{<rdoMO_f1)k;K
zd-5QhK`o*B5l#-5vmo0OxpnRRD7=}^L!ZniQGC)a9*0k#qG%%R?Y@buOvBasVpaUG
zoYAF;pD-uw8(H#vzo*MiXbE=F`5{8K-*M;#(+d3lPCzEv{&%hSEH=Ew_;znfBH8``
z-ww4+aCJ&u6luTv=F<<%aND2pP%=L?F+EnY8{V(wvzZ;{-PE+o3GbPW_)GE+W;?b{
z@xbNJ2flN{7nhQjHDC$6hnwUdf}E{(sKI4Dlt0M+Q2oyS#27YtI=>_V$H#T#8p3ug
zkG-W}n%shUb9m7<=&B;@P<3+4aaifb!4+kA`meHqE&NfNa}zn9YA)X$tYEsozJJMl
zo_%=o4`(=cz;!b@9~R`bHafwX&K$SM`4q^(b<_ivYi157=i4s4l-w0wHobj^oS(um
z9$&7&VIQvCcY^1~XxA>o_C3o%u5cq(`h>!Brxzdkz^|LM<AdSV4u+do;T`c0@-pCW
z)3m<6utXGPY&I-;rgQER{AjvkxCk!&)cC~<J`kwVR0{L9JaD)G^J_D1uOaOtZdka%
zhi_l`QwvvZ*6H+s-xe7vHpAxZhnq-#<jDOpfmV2(c};^{f9@ioF5U1<cY_GI{uWYA
zRR`gVrS~#PzU5|zVBiGYaMC4_<YR8Sg?M~{?cN;POZG=Lja~5!yuW5EJ=tF@ny(Y*
z;I^l2q2_SE-h+u1c*k7o^<!|B(2v$NxUyEnkF?i08Evt>9^a>P&BXxL{`X6b0p9<v
z_A6=6E!q&o3NIfB8`6faxpH{1!6$fjcaiqT7MfOtVP&m>CUShce{)WW!ijp%G)cax
zU2k!}4BYe9UXJ9WivH7KmWOA?{u4V2*S}qOstdETrtp*eRXd+{hygriFUfuc9`l-K
zw1+FjA8wX`o24SZIKu8?t)YiudBMtL8#s4B@B%r1U#08&o`P?%xh#|G$3N9u+zMt_
zEv=!1AFMp7cY+1!&ni&C>CZ0Fdcqa`)M9JM=QXis{q~0A1xvF3!66c%vH`GAvaA!y
zpKrABED3{6t`3a%!255SuReyq2cGTy2y<0>O~$}_s*N@z|E_p3H0eIPzuDBN0se1C
z^4&+U!sTBdn&2?syKQlBTIbD7lE3zU{yHoLKGMa?Ukb~;O6$mm{|?6NA^Co;M+L9*
zU`-p*D3brYyXz@s8O%|ZahK#rqwl|%eg$tUQKrs?b8kL8R0r2m2+fduwvS{SRTG>&
zRpFcr&ld%2x5Es1(I$~_RqCC6J@9mZKwA`?Qsi@L1g0sfNFw>>7Yy38)3B9-IvdIV
z+Re%v&cn1>t5hVv>|w*ivkdd?y?&kKj~_N|cA|WT@k(5`56Ledx1TYhg8lDW&APyR
zauZQ>u&jOd#A$fez3KW6INqRmfVBUuUr5Ud-yi+gM&@7rHKKoW!zJ90)y~6v4*S%}
z!>j#WQjRdoHj5l3IR7G*3&}S-<sMXRh8uV8IzjT$XT`Y=w8C<2te;5SdcJ>o3f}UF
zyMe@KEn3IF!FAe)<RV~su{#AD8juf>5EUW$d}lwu_)YL`Yww+8{;Hp@Usf8<U%kai
z=C4{QMhzw5q6zi*Bv_WZHc|mrV{$Aa$75CKO^p;xck_2vA?z1(RYwc{`+~ac73`6A
z@q`Ba_Hm~~C45ZGBvlV)Q~07x=11b59;wiVZ}yZ|kol2VQ!WZ)Sn1z~29nQ~;-qIW
zgf+EN)XDj1w&9zVIoxrp$$A*J>naa4f&+G>_mKIWlG=!7OIU;V)i}v-^St-`Yz9BF
zNwEJ8M~rLo+rznYdFOw@I@&x6HgIZB^p|<~UHHOvN0@ddbAAPGHExYMN!nkJb|=@9
z_1mWd=U_|LEPryny`1v;bq3Bfk6)sOwQj3Qxx)z>Yr5q69`{XYwSvnhm)pqoT~jj@
zLcZUz?aTkj_`y>+WAq68`>LQ1=?|51e&mwv>!#;*BK0B$7uBDff^W|rJwf_EUD<kW
zZ}@|fqABUmg6mkfU4-YgPV15WkNIzGR3Loc*jR=1XFgg#uZO^z%27omzC}gEFd3G1
zzm!hmcU^DDroxix4|vJ;4D+d8%^~p}`G?4O$D!xHN13qRhV7~L@DFF+Q+2S(Zi)Oe
zaJEd7Zw)Mvbv@%e9Nni#*$yA>OD`t(m!OG3mR9((RhQTW*nIP2>u&hLmUYDd*xN(Y
z^AkMbe@f~GTx}J%G7c}Pg{zVLITht0`p+<(<h!c7uwUc2={I;^z}))>@YDxy=P6jU
z)wM1PcBAN-UxdX)650~rMb(pAe#24`qq<4(#$0-Xzwmw!dW$qTS3k;O8J0~>K9&s|
zy`TMWOCz4I<GO4}{S#xF$A--?p9^naF`QJoS8E6SWzu}|HS9kZWkUyVbj&(Q#=C<e
zD$jPp>2@Qo@8C}jB_#}SYl!ssMtDusZj}`_+T^lG^6^XpAL)0&fkTa69q@*V3&%O&
z&wXq72~j+6(T_W`!9w=-s{`=ow!l1I*m5v(^EfPcYvwH%EM@LM@fH5^Lfk+c7W^-c
zZid98A3KP`4WDU3e!(KElIha$jV0B`f8d+ik18c$<=8@oRam3%&;~`g;?R$M8}Pi4
zap&$XIXLdRLo5}{p~`Qg2KPiKyx0my>H2#r!+X;oC(^@}XL45z;jEc$W$bXCk2aqU
zOr!Nsk_(n7964tUpBimZ5rjK>_^*-n(-UTu`{9486?Nut&W4sQ894Br!cQYuGjpa@
z5l;DQ=X(l{s23j4fUV?X?%BiT?RDl_u&1Cv`&sy@E2X0WELv|p<p^&SNEkf^j}Cp^
z?+Ra6ANbE4PVU{U;tX?V`k%9cf3T(8_JYS-7H^RH%3S@WTo*Xc@9DZTY!QEL-Un9J
zHRQPt|Em}lCvm2Bilm!x<NPUK5~mTC%MO7R0x#e5ggNbJ1<CW^-EV(CUV`t+?LYho
zUhms6brJr)XEOgW-0O6I|24SrB1cs`tX29{IRFk%PbwwPm-T*ejrZW9y~B0s@Q;lt
zLm@D?Yl=!193jQY{SdBFWVa;suXMq@dZfMWr|B+I|2p<I;eI6Cd`NJN)X&O?K1qE5
z*Lttm)x*K_^xvPr!A8>OKfs;4X#PdP`A5Gvw!^#c%>|{wNs0oVy)f;M@%R+t*Avb|
zaF$UMUol+TDBwE*E6fzh6~I#}biYad+}xY*+ACPC#gKwLzxTP(MV7+Db23-R^Sd>>
ze{VH>`CmZD65Qx(`{Ok%{MzakdHz3sS?Xd7JT&qwVk7be$LN_t-@~tX!$L^@fMMeo
zrUBT`zUT1{IH9Xjuoo_V)xpRJmn8AIj>0c4?BigC`P!Fm48g4l9IPZC@`kpK_9y(t
z-Ib3I&i9Srn1(GluW*oj%Gqbf(^p}wEv*N{;7%R3%0F;G>_EB%Y$<kylClZo_l*aO
z<={jaWtMfsd!tSAl;OYWf1hqgd|+34#SysZzp}!u@Sx;iG0E3&*7sCkgPWQqYK`Fo
zEdoZYu>K<x<>T-|>y5`;uuf){t_}PxTOyMkK9{wqN%Hl1Cgb9wuvVXuu@g+~7NI2!
ze__1R<_xbhPKHXtjWxXko-kMFy(BT1HJ!%N2R?2+Iw1=$cR8LW`73p?Tgy^#56egU
z>+pLY{+n8Gu(ha55KJ3X7o`ES7dw9oA)jAi9MFSnFTG#558FFu&1l00iF&gnU$)`5
zrk@pDayjpBJZzNId(RwB5>j4z1}Cz*F+0KU_NH#kfTcF93Y~_pWY1mCg3a%%ySc(a
z?3Q5#aC&$1O=p<aHjB0xo{wN`@PcOz7<avf|4Kv+xWkc3wG1TRcUham@j5J^CCuIk
zR|qBeU4f1Mgv7mvzup;neFrYN{yVK5o~W~EzX_L*nDKSOLb^|wL*XA^-iQsreN)@^
z2g4tJ3+4^MGEel}?!%1%krfm0lZUTwhQYzo6tZ97?H<eT9>ZG7E}A5N$<yFC@DNTB
zFjSd`Kk)WDJcs8rtMpc2$}(lYBv>LSO^xLDFW=r5@&+#c#%@UF3*zbh6RO~CrG1qo
zU)pnQ@bVwnn)~E?9(dhDBw_(}y2zz|0G|F)YQ6nEo}VLf4aH$6!HphU;f{Kp7D-ss
zN2G`e=CSMTBl%e?x(ki;FuO8amkJznq~RDBeCCe)PXoB#RrAtb_|dz`^CTaBS?+u#
z51cgQ<7WX&Pd{(xgwsBCdfUP@0@Ida@LtNZ*B#+3CU!Rw_|xg|WwM^=<&o=hT5ymG
zKQ+lm`|4*KXuxs)sg!=OHU-|)3TL~hY`+GNt8Je)g2mo$x<~TSo<D>{t>D?sp*>l!
zCU<q(QP@VH#4-b>QOk6|j}xjexAlkC!?NNZ3MJvD%(ZQGurFVQyD)66vCiKPC)$)p
z^TQix*)zy`t)Y<&6Lwg6H$&|poNONNzZ;%vIH=JNk2!}+ll|4B!({svHsQHoPYZ`m
z2#-v{kKZ}%-2jgkxl*mdwyOusmvMYHC*KJC1KS<rX8Hy1uijL)6YJ0RR;Qergf-7G
z$T7khU!JlL!JI|s&WpezpMJQu!>1gbz8!*Z^33G-!C!^8ZBT~ijjr{5f<Lh{T~~$o
zXI<Gh2>1SWymu7NuvZo%?T4e?X?5Y-<MJ0i!-~gFh@K#yk9K<53wyWv<eY+AHk|xD
z3g_?n_Wcel#8+(A0ncYOxZHw09cmfh!?g8B?>vCx)+prO!YeAgn<L=A%{vw=U>>j5
z11WG+XZN8(IH-Ij;{}|T^wx*O>juP1a^NEeOoPi{srFNnFX1UJl@B$rtXHf`DZHDu
zd887qVg6WE4l5lf=6MI-I!x1C15<m-OV`0JvsWAH;S$rW)ntEI^1b@>0ha6z?f3}S
zDy$l{!Id$dEM$K;%u3mH!!5o)gu3DXiUS6F;a10X*I`)YYuVQk*z4KR8w0TA7sJU3
zxQ>l(%YSf<NW`ycc*o-_Y~NsWr&0Hxur-hE337ZLMK}W%V2R}>@1O8~mWwM(@JxPM
z=_1@~RYLs_Hk{niJP$`ab=^pX^{VSj?~JK%{;2(VxnnE5d`9RDC7fw8aF-GOU|A@(
z2X3(7jb??<j&0Z61wUx(yUzn(=X5ZYfvY?MZ?nPG9CWJk@Ljj&zk={Dy#tYsaBAg&
zEr;Ni=K*Oa;fG5C)Q4g1;Ju<=aJF?QqXPV3&sjBhm`-BH10~qVRx;2RPGR;=(1fY<
z{h#>2esQaNkHW04jtm9B#TU6%ZQ(MGjk`#EvZtt;tQV&Bes4wMmQO!U_`rcb93s8p
zp?((!UwDUrK(9Y6e(y>!S<mcOlE6UX>(6;MN5I_OHpfYPBX1`MSs(p`HOBt}oN@ie
z(?r-+)wKEw{6oAi^98JT{d~t|c!yG`5Ls_+(!s}a3yyXhKTOtRN4m)fU5A&KjU|fV
zV}<E2@54OGxyrBMp}WO(VX$QTOSyNj7)MA)E?jNCQ>z7j|08TN3wEORsq2KV^gMg{
z7M_(JY8!yXs}t+qz~5WDD#&{GQI4y3%$hNO6mY(gtcU;2;TU5APqClYVuVxKHw{|D
z$8}asSm8<ksh<|`=%y7Tb~u`q_u@HX%|~{8a7+Hb;4|<?yO<#XxanB@2RFEvP5e7q
zk1u${d*nP^Ga-LY4CdLfoyP}m<Ltg51LvF^J?shRMo;{fgVRheUAhEU8eOAQgDt4E
z?p=gqd>>xdfVH`X+pfaT^A3jT!t5exWB%}!+nRI+@YV|o{I}t2a-Vk}hc}H-$lidh
ztJb2;;c>&rfDl-3?n#OryvAZ05eO%E3@1Cl9WfVKqT!{oD|yavW9%WJNciTvwj6hO
zg2v!w3arTE^@_aTAX9Tg-7}c0roGG`UQ67gQvgeg`PScrBX%{}<iX*#6Lmo_z1`q=
zHM}x*?_)T8mj2G-YdBW2$?yUE>=vC|J=`npWfKF_K6<HF3&+b84#dJ-hotVmhcnA<
zzCMHF;=7U?U<vW>Q!n7Gi-SVF@STRJ`5bs?-$jKkxVuekt^i&b_pO_Roi2S|FNb^T
zw|0-g+~ty2U&9~#?y^q9UZWFt>)_&2R^hKOTTfI-BkWkoSojBi%BU071}{p**Dt`2
zo6?y(;Jgr)E$eXeO&jh$SnWjI-c@*;6Cc+wd^R;SdFu!Cmxl)rPQo!Iw8b>=WM+Zz
zclhC#1$kE3@t%w9FW5@L-GBvlTUC%=g#!{~Y@}go_J8Ud@IH(`!x?Up@X79S1@b<Q
z?j^m{GMHJnRg?#A82a(B0`@je%_Z?apZ3~z!biU6JtOf~Nw0N!;NvVoiQ+K5Bi#s1
z3-Sxwu0K2gi(h;BVJp1*)TalB;J`CpCTws3WBqL*cwLiOl>?sDb*Ccl|8Oz5cv}Fz
zrf0Ln3+J@4c<qNz(NOye!0(Ru6^p~WEPtNkggef$JU<MdiH`op4JR1-O)0{1GX8^m
zVUL|VJ5}KMKRh<<@HeN6yR_knZyOAE!PnY$Y|?`%4`#Kp!r2eKj+(+--0r+#gg3=)
zkuryaBo3-F!xJA|F4@Bm6}tI1!#YV1O;5vPrCj`UaGsa-zy)~ww;#JV!Kx>w8~xzt
zha+Q1d&OZxx*KpuiFGIieAjho`4+s_-Gr6~KD?XuZ9M#lkztL*wZo(H6Jf=&x>Z^@
zj-RKx240);`MD9Md6A!82cH%Qaoq|}*mqwXghl)gouGnw-Z?sszz3hk*l&S9<nm9?
zz_zxsJ4SFmm~*NIP`2X!((ou^5Pn?JC$o%rK(yi62Kbh|B;^Lg$3_ajkoTY1mNZt9
zxNzKTemXqHchY+k;$JLIij(W-+o@U6HN^Wye()y3Kc49Aqd<In=;ai0y*XX0Iza<l
zaRi4vf}iHO$!~|XlPPG)^~-f<Wr_T~lnzQ|(jV#wn+}V?tJ=@2d0|HF)>t7pf6_aJ
z1-{<0;esd}n8L=l6Mp^cl9&L@?09?EHh8HmjD0_R;FDMkEzH5baexb6ppU(~5gxT*
zY~+P?4(V;Bgy%lqxy=S!{8zL_-dCdRbl;N${+>E=jl8c!Lt^{|HC(aXz-t;dADeo#
z1^(-7dEqm>pcH@SE5857T_4Z(!#?BDUemC>{pRx@;e!E+j_+ZyV}Z6!uq2C^Q46ef
z^V^AP`0(^QwQQKB)Wf6<?zvnbng<VB7<H2STN)kne=lHqy1sY0@cf_E-VE5TF}0E0
zAL%Mz8$E%=9~`PkhV#c0l*sv1oW-V)1TQoHU3momnM)IS0_#8N{SpPcSH|Q;!D$PU
zDdDitE#72uzs~BSLkTqUm20d#VKAG`S^W^WUiAfYAlw=wCwC8Kb4iN21)FL=S|sOl
zyU4+i0Ql9|$?-s#VT&;BW!Sc|Eb%I=t5g2h3%*cz^B%b#d^%rW@qlH@dX8R#Wg>Mv
z&cRe$6AlN!8m-2^&cI(}XMcIaF?65D$#}%&+somLaM0opM>1Zyptd2-4R$XKFgJq>
z461@WVFms0UK4n%eVfKP`1e=6%iM6qp2pW#U|nIMWnOrH&~*y3y$;*&7E{7_KXGCt
zoO!`ol8o<s=H<r8{(STI^6V%XFK(T>kp<@jsk)Q*jZ~gVuP=n-)!xc9z{RHbeXC)!
z;G3mQu+bf}iUzo{Q^=c)r{k2}ExY0KxBY%Uhxr|!Gq=KVmb?2N!&i>l|NI0`Tz+dF
z1FJh76erjB`PcCxWIV5Gb7*M-zAvhtL&p1*qLlJK;KKa62fpxR#8aku_~7=l^q1j_
z^B(4_@a)598@%Dew=2}wVSNvc8y862EIf#u-^&`8z1?88;BIeneoH-PoAZF_nlefm
z;D!eMiF0sF+|2Wx@a3nEK9lz6w4x61!Rr2%pU%Q7gZ;Y%VIh%RLw8tnqsh1m?0KM7
zmAs#1^VR4!b(sElQzeNvSJ1`Tz^@rb^GLjEuThXaEH*oJfc$?-&pKm2m`7xOANl{h
zC7YG~VPOa3z2yJ<Zccv}3U9SE-$wp_;*RNpaJY`uEri5R<XT=$gDXVO`IC5MT)cB8
z97i3xMB@C$G*WeNm_ooe5`V?3%l!`4ZIp0whQ+*C&$Pk~`kYn{aO|X|aXV~k)zf<#
z?tUg1)dyRMR=>A{ca)sDIS3cLzMy>)rvH5S-2^Q4*+QPYZ-p(&v)~JCIkWwh4LmBU
zx;O*pS2ZOV!2DJ(TNmK+;s7=yc<S~I#&tOOgz0u2^7)mbb&59RZ+fZ2^x%|7fofY|
zzM@PI@_rTxrO7=z;PRbTGb(VQQ<>c^xKfk<vn)*YbX;c-yh)(TUI8|eE)C~~-P7WY
z4#Ow6jb7%1&u-EEC=Fj`E~+{Ro8E6N6oTV!tVKz{6a$yUh2fWbKK0AP0iO@^^1;<F
z=ie#8t=Xf=0`Rl4CR!~xX+umTCwyk+%c3?MZJ@@)1MfalC1(tm&;O=kgTod3`Hz!$
zs?G-T{+L6@gK|&93zUoVtZ>lGvsfoM?cmFw<n!#xe=<T~S_Z>W^7+b9rl@;xO1VJ0
z930I5xo!roTS^-t&)eePOMCu<pZ``LIs&)Q8Q8DEDmo3*`mh}>hxZEX{B!*@IbNP#
zRPT5`;`u$%&78a+M}bqefFItrEO6Wce&Ag%D-Fw>ynloouj3Pc_~hXESl4>eUY4i&
zoEp4j)Luf4SB~WDaZUIXUG8B+_|jO(6Ma~bahm{n{*Q^AymJgbuKz8S9B<?N>?RAC
zB3V6J9o|dTS8NSm5MPTV?KeA}Rdj(<6psax?^k=}p^!Vg_VC~)4fxMnOIKg`$AA8d
z<ak^9-?Y38H<j=9Ch_uHJ-m<Lk7Bltim)*U1w#~U_eyb`<SPn?-kCmyciy<tDFe^2
z{!n=atKYRXk%!f_if(7XsfjTfk}wBvuSYiQA>>yl1)r%&EGmNi!g7m5;X%bWNu}^e
zbeM!VyjMG9q8b)6is|1Bzj4^%+753SJ7-A?yM_$C?1SCT+|$_zyH|gWAA}oxZJRd1
zJ55VRC*Vq|=&U8=Yn-pumwksF=nrT7g{O9%R#}DJuWQFHzyYG?gx6t7CRSFG-=SlW
z^`LG?zM)-^_7^PJBxkb)KFH9tnY>SEzNCMg70$lX{^uv$CpOT=1|Jho_9g9El(Lxk
zV9kY8r|+<zWyU`N*xBjmnHe}WUOPwzmj0|^PV!G}mydYM!$oN<-K2eGK1-=O{LO89
z!#I5M5X18$@W<j2O)OEZG41|5WdP@B3@66G!AIV2afjuYAG627Y6UO!ec@P|y}!u&
zgV-c?GF*p81U|S2!#2kAror&g-t$JJepKAyrf@hM!p-_I0Di^f;1LCj+{ny#gDp=^
zX~n}5?#B;#!radrLsMWMnLY*w*zcf<Lni!o+l~9Ael&!FH?07UQeE;ihXWfTu9m?(
z>v6M|aNmIowKZ^qrO{_&IPoWcZXN6pwP1f7-cU<7*9`A&H&xYw8L6F`+To$!3)R~2
zYiGl4{V+wW)-#g-)R=xcF#?aKOmdL-7ajf_B={AsqNn(@2X^=#Rl7(m{m6*a8*B95
zrv3--WUCb40qfPL4N-OA{S89;`3&#{jcBfIaJt{Qha2I1*W5phu)FIbJvGd6HBn(N
zY}I|0lGJPW{Nfj6C!g2ZdY#lqn|SVa;fLobBRoicSmaKExe)BVxM$`sT;&}RCk8vO
zJ{ehn^92}#B;hyie0HSX`}iHIW(BzF?=I!<@QEzSWHq?OJgM?OSU+}QQiphiDR&aK
zqVs6ihcjQr34bMac4Rh#=K^$oHp4q#h}NBibEsR~Nxi&IwbV6Bn3qxN1gWRbdXeaC
z1IH&HaUk{fj{X^Ax^PHCfeERvRgb4@HGn_-_-K|7%bs93q68lnR?*6YpT2SvQ-y`T
zp4Ul*M_t`A4#5m6!*WmIHp+LA5^(&3T}n^jvne%nJTUFXFp-DwlqcgKKJs~I(U%dh
zTjaK)eekk%YEm%#qS7jn6Q;hP#~lbS(VANChLyh5GG2qfMZ_N=$3v#TEiwS6p^4nU
z1P`T5-o5~reeL<d4A*c)QG3JBLt8S)@$HV>wnXZA=^N=D)5A%1wSJ`Dx9u^75e+O{
zDtC^ofB1V)USTUN`{1REExg->y=VpJkNeXDwxs^|r=m&X8l0v5->?a6kgI0B0NeMR
zZPSCl4R{^-17DOpXru%4`JUJ?3m2+osH($(6!(72!3jp*bt>@lcfJ|l;d^GzDdO;l
z?X}lP`+%47{D<J`p-g#leoLp7un56H@lE{G@KV9O81g=%6Hzb6#$f&ZG$9=D+{^bZ
zlW_l+G1`4_MOR+P5ZpRqx5^B&>ec&<!hD8GSD4_oxb#E4a8<)AS5gnW;#$6U03QDO
zbY=^j{57_x1O8MS^>G#RedlZQa!C7Gk(<V(9+>(___>d;#r-w4IXG4Sq3I`BD)-0R
z8Cd488$G$ckKaF6{1r~OcUx_Nf7#nflley(S?$t#xTUsVU<AJMM?JX_=GW-V7=*X4
zvDuOSqfWpmwhQLp&7@8G58D@pPd~!OZ)<8u|FibIEu7R3tFz{36~ofcI_VqWshT@y
zbKq2t<CNrmM1`K7#xLQpR=ZoIp4eJLV|zOMp=HFo1m0+LV43u9b|OC)3gJqFzeUNg
zPp<n^Hmp`UoR|vd)!cN-gy}|etP|j8Z>TIu{jqyW=#eD2=A@J@S$`$*gs&<B?hL5V
zkA{Py*U}%t`Lz9QWc^l<L!;weIQxZtO&DBJ8D|&<&nl+B4ThKh2sZ@4yMG@lz5$Db
zt>j;W1vrAr1K_H%Kp}EJxHZF=c>$geG}!3{tK?qH^?<)5cZHsWJ7YE_o`X5FqAxna
zeA5@7JHl5>S$~?qOEWZ)ws8G&SFagdZKlOy4X3q7Mw0ta<X|7QDLmn>cg+Yk;5)U|
z5N55bUsQqJ>X%l@e7}2~?`Lv9vq)3DO5R`8z#^VN?svhBJ#M6adZ+G4kP<v*&Hqat
zPW~0GE(I$E8+9CnH{PGztpFcAlV*AVo>z|Rlz_3SMUxlaoGD*T+AmN<H<0=T**i0r
zMPP$4;j%rju5RdQF<7`YRBkt1ZKTL01ZNL$9bkZ4ygRoF!-14F=}fR-1kW)^*ssO)
z@;d4*qV;=rD3Z7`^&bkv{r3u)YQhF=%zbl+uNo@|>B7z4nPv-cY<`3**?-=ZS<+wN
zR-R}zOW0&Zv6!sS<Y4+QknI1Cmts+*UgUT67wfYy^`{!9VR)m8QW80S<+GAhJ#f$O
z(!1pNJ$+DjgVdXJjBjtd41ZV?|9?G-uuNe271(ayo0(3;nWKi*?!X&*4~(|Jze9|_
z2E*!jnf6Dx%`8*+0et)#hd~o8_ML54Bz&Y@Ub_{Z%>9r^?(gD<mxRdr)s?O+A9DVm
zG`y8o3%{75Dks-hhWbEs1sr_R<2kv$E)AYxu7Y{KH+`vu_i?=1R0>~N74IO|Ymk)Y
zt#X)Q{vJycY^yTrkOf<Jm`%6BoeEB$bKqR70?{6rws7H1A}s3TK{W*L4yUY4frI9S
z!hXO#zm#)G{g4qwpfBkkADZVr$%p^!v5XZ*e=XGA6_N>$7QVWD7=FC|WJ3X5`1*|z
zxu5N1{WSI*mKVRlZwec>I-Pg{_gD7)|9*Hg;o33s|69xsAGb$bqkU)VGuX>0{K;83
zcwQ>^5uBy0=;jJD(ls3*^-V&}(FGS^Hv7)K5%77=>3Bbwd-3!WQV%t==g8;l@CHuL
zOSj;H8xzHWaCzLn#XB(lHr17Im{n}8+ZT?=`P3Q-`#cCXy$ru=5@Sk$|0dkf@P>E)
zxww`HzX_nLCG}g@x4Kl*Vfh}40yp^IvE9O1u#;q{s3)we>+4Ynw+vq9Aocl*Wu;an
zuzeX-0;vyvz_lx}3eL!#xpx}=c<^}08#saH60H*~NnPC11i#m_Um^9vmHD%!AK)Bj
z?*-DnFYKkt5Zu1ac#_l?2dsSGKMK1&U$Q0jXtqCS{``SMi$Ca-dbJq^^|4hrtBOH`
z)GMD?t(a%~g#Pqczr-oH;ql@S2mJeJd^U*}WYA^Fz(v2U;z^wHv({sISncq==(F(c
zEfnl}aC)SA5ZS&NN;w)s*sFSw$^o7}5T$1hUv!E1Z4LjAqx+7>>V4w?ZX_C3Mv08d
z{!(_7lBCQ~WQT^C9g-1|RCZ>`j*w9ig+xV!Y%;T>qzFm;KKJj>_v^Zz<J{xi<8jV;
z?$tKQ8pE+{LayX|^G!vrS;20<0(8m!d(9`JPT9a6{@Yvh;6axkG0rgMlk6~ZKYC?h
z{2?EBIfRRe+`oTfO?uf4_DvD5VuDXUdU`t$wvK(O!~m})sHu9x$!E)(`f<Oant*wJ
zIBX}fM`H+9=53jagT0;d6v+E8>IL3?PK33qS<61d!x6GP>F}^#LUucRMMh*(7W|Tr
zlApZ)BA5Pw))V*x<#pB;SW_=dt_ZGqrpHL$H=rTzQe6#GooHCYZ$DL6OIhaD!h9mq
zJ|sUvu6?!<K6m4$I=Mge@q?)R4!FB;x~>BL@ASr>{V-+mq<bR#%)u~l2LAICkEp;m
zINILN!@*CMKZU`+<UNx9z&~5HwIks?&!2;o9a#S?E&mq?YkvxTN(<j!*T^OBbNKmi
z;}Ro$C1UCpd7s3yeK8Ge@b!wME$(peF4mj$FkOLfuQ@z$Q0*8yTvQ`(Y6^ETzh5Kq
z*2l~uCtya2o>wIP^qp3=8honSoPr1DdG2>w0KQlj6)6S>j~0Fsg3A<lb;`iXWo}_x
z;hqYYYe!-4*aw>#VGnl7YBe}<*ez?U5c8wzE_oApmu$rDNtmJRsqcB%lll!sFHEbJ
zu44;V9_;n)ga6Zzk9C3T?Y3&Xhee-->UzUjRI5$3@L!D|TV3G<4|$tJSmnA%@C{hv
zu)_F#*r~Yj!yQ;4Orhf*-1&;<SvXA7rl1=Si<!Pzii5cvWtAdfAsUu1i7+p%vUCz`
z%Njrb61ERBGsuD2B`0}H;OKF?_FULZI_P30Y{ug?Rt!(|^ZSteS6UATOX0kmCNzyO
zO;*8=O8A}45@$WEe67x*8kS><wD<%|>-YH9!FRO;J)2;s!QU$%;3nRxSDo;NgS1;)
zVZ(Brwl?^vr*LRHY+W|a-UquG98CHQi{!hB^}x@MTWueJsk%414#NT2?n0#g|MExP
z8i4E6QnM!Ddp>+k<FJtUv(oQyt-zzv5!mO(sMH+H{a8k52DY1CR9S+r7nB^Hf}L5;
zA6bPZ4L{W_!=>?8b*RzaH1X<#zu_xq=hf+89w`g!jh*;^`k$?)q(7MFb@)=lVhN{u
znc+bVvzjgN(F)t?9q=)prXD&tfT7r$6ZW1ty^9%EIW`t53<tjxP$&5=qms1beOPJt
zbHiC+_63a{Qt*j%`Ya~c_C!jo49t)j@pT7$^>f*yLvRnx>^d8~FwC^~2+5anRN;ng
z7DZ%KVcEGlV@{Z%DCFr$SWQheWe+@hBE9w$Y-)MGgcn|tx2`$^%az3(mVm#_2DO;L
z@ta1^h{GCQXB#ZwyLw#%hhY<SuRd#7dVpu)Ak1xV*hTKIKe&UzR}(&F>@(>G@9o!(
zQG;)8vl}7rbJ@S?AeS**$sINC59@8bDtQ)u=y-RQT>r-WX0NQ_;rP<^J8-c{Z0iNs
z%m4KX89yF5xEo)AtKWUwk^qbLKXP`3=|X<amcR_#60<ttzO~E&a{s%Byn93stP>h$
zPzqo3&NTfAw{Mp_UI@nr`KvC#QjCF0&*2z8wU!NCSpS^byN|pd>GHST<+L!x-+F%X
ze1!O^rwu~zGXV*?DmZYpeV8A17a4h84S!gW<`;)g_o%<Gga5AT9u$Q?L{O+Sz(u^p
z{!(z$Yg_$R`0b4kvHRhFB757(cs|u8@c97DI}rB&_vLj*D$L2iTUIr#1`xlrB~JP<
ztg-)v+ZZgdH%t8>-0+L;`wV=1t#JDpczMuk?H4>LRwkwkuj!6^lKbU-jmuYTVU9)P
zQ1X1rbm~hcYgj*k*?lLxQL^t<Iee!jz={QCQX0>yfFlgVjmh(1d{^0D48TP^(I?qq
z<-2@o!|<_MClyXuMX^lyC$Zv3Nmlp_a}CP^tdX3WPvW<arw?!KMth0PCy{u{YF+~)
zd?C4wl?%=|6&f!D*C=yRv%%G0qXR_Yd$lyaB%W$=Sz876^i#1X@rE9c11I1?Mul+_
zkGIvPv4H;@c5El{#t&zISiu}pms?2rrd20A-Qe+ONtL90TWw}7J>dSGk4i}S9^RpK
zi-)t>>M}_A=8BojlHl?&4+crtzH&<AH*B%<>Z%C5y=O&c89unDaCsj*ZR=G<*Mt2C
zUG9VseD`>0&KB5QX>^1<pJ$=FQGyHJ)z$S$0ABgd#>oS-9%5-C&+~P-MQ7}T>jKta
zlIMxex2A?k!sm~0%L~G3B15eT#GhycdEo_tnOBPN?3TS*<oUdhKZGe%;k|j2*Gc^b
zr^|O}z)~Nm)=7DU|6Sd22ENce_>B?1{mhr@ENtrb$8H<k>|3RJ4zB<B$#4ri+4g$B
z6`VOS-9-;KZKb?o2dmtve7g~TNI`M#G92o!caYR)vcb{kaj^Q>T`f}IEiVo=#K7&A
z{c1e$v7M!QnXvE}hbbw4*t0yFG<ctHP>UQ~nIWs%2d4|PeK`z|eBd?hfom3+ERMph
zC-qZ@;rE5rS_<%tio@+u_}*|pJ&9BPp*y<@yA}$TlDK&f&(U=_B;QtA5x&uSI+(T>
z>#6sfca!y7!YLc4&9MGa%~bL{h;!M4XWQUiKLf9k_VsqG4A}u+(|+^+=QY)A=Noz9
z?-tV?+=$2P)1?Z)(W(5W`CyZgBV*$5p!IVlQhpm5)n*CUV^vg<l)w2}iGecw)%BUk
z4!AzzrP6WuT$N)MiL+;&qc?};PkxIgapeaWmMq}nM^EWVdk3^`e0vq{IwtU!#0T=W
z6!^gJR&1}5>+6&E(O*Gu{7BCw(*CXU$NEEH%k5m_r2PXVy?G<y&uTZ@Nc-<q_ud=>
zUt6u$A?+W#T%>&;PPi(5n6&@rf`S7NVftL>3ex^`P2)a~;14dXk4gJ~<NI>yF+4kI
z@QCD}ymRVDIqYU$6hofBVMtT!tsthBkK6>02feUtf}acB@uh;pOo}u<!BMO1-n1lM
zzN=#x_WxvQO#wUVvQ>@3iC1=gCC~R9=pDG)2Uj=RbS=W~8a|yLg!Ki44Hw|IzVSR=
zaQT}1@$azShu}@Ua3h049eKX!cDDLE^7ou<Z$2M|xwNDU+u>z#9oa8%jKPv!BTRF3
z|5_s~({Nv?1AZ&I;W~MK?$S%+F%ow>-+O}07w`G|(@5Nn`o)K0_}yxp*+*FO@;`g>
zyw?s!ui4MA1aq%bD17bI@WlprS%t%ltbZAHC7mMm@%Sc{r7x^>>fd`(U!y(8waNOo
z;7oDRYxqRjAw3tk*o#r95LUWg_aAvaEz-&6?{j!ntFeI0&k+)=FY@6wL8b>r@c!d3
zQ%U}}+#TF!;W)_)rrEF_t@#!m_+%=LYA#%V#6C<5<|uzcnGV-+7kiWS!|-+WnM^ol
zYwhYWnETz_qX+Ol$4%2@{qb+&R%8kso^jfltWRpW-D_{cuV1H_iNjY6Xr6?^(*0eI
zJ7JsPzo92!@8K%}d~lq(TdE4I?$9301>4HzZ<mIHc<dAQz)YWZi<9fesi*M)H*B}t
zB#T^sPZUfG$@@HS`Fwh{3ohWTe#Q%1snJQ%!|M`i?*-xI^FC_i`aZufp-JLrk7@h-
z#CQ;2dQpJ`4yoz7xByS=OsimrS#CP<eS<k4?g*wN`5|)yB+l`}jCLLCLk-E`L=sP@
zI6XqvlZv#i4!>Z}^pp#;@QYW}LesEw8iyX)4?L)HWBv{wS+?sS>($JM)J<b>(TG`L
z7x{c=R|?5DxLqpI0ryv(HyI%oUh61=4?oyHJqO4AzIe6(b{2k-H3c`Xcd2B<w{vJC
zW?(tar)uf&h&9tjGJa~P2*{EBf+~;6j{!LBFT<fYSgzIlQWG3-?51!8`~x%YC)hX6
zNBlN?>tg!**RbKgMa~;=V%V3$8hCzYh1U<B+S@1a6n^RA#o!5_4Q6F3f%QcwqTJ!o
zJrRxh@LnlDzss=JVD0llI4X5Br9G^WbI3Uxwo0MtH-$^I6P2HkxLKmPG3>OPagEFm
z4^Fddo`wY(<R(eJi=LXUHr!#%Z5|H?TYorw0$%Y`I*|nL$+3B(0{>VlrizANzP5fK
z3m<U#+ClP}bQyT0VU~rnkrA-5;^q~8_`yzpt612cr_5&$d_H@6R~YPhlAV_VPBYz<
zcOSMfHc6&}rLSiE$bdr%8*l$D!1MRgsXdQisl!ZkYp_7I!Y)$Y;K6IZ7vYT@G8;*K
zjemXZ`Uif?`bqsIY}+Yd@e3~AQZH2r`<mGeERcN9^Iq>@;d>t&zQdGTjV$Zo*#yRu
zbMWlMLKbPS>YbNmzQTVwro!7{YuSZ;vvAca&koYR6s^^FO~M5~m?<aWU4G$7B>&FR
zljA?&%_~D8BXHoYWO34eW5V{(jKhD|<=s}`s58#L2H-_;LDPRQevH9s7~abMHkAg~
z(+7{groHgy(SlGqIF9=8=RUYnUbC4A&b0`r>wsTnO21%%+3adnx?x89w!fUP*fuK3
zPw*D^vN3L0BH>tJ8~pFFfv_Na{EqK~MtDg_VVem2C9I008NR#NV;~9tXq?|z2VXn*
z@`wz~tsx!s0WQ`t3Q~m6sKl7Rf)k=y435EV8K3$pVJ-RRNgD9H`AU5$tRx$DLmOUE
zkW(#(?`w+J8^DLf{dx1?%WK_<rm)|1S@IKD?UDE31(-{gUoQ&YXq6M-41Z2EXo-Qj
zhP2;%!GeE6<NV<E?1<|DaBOM`O8|Vh=fFEM9%gDZf3}ActjzqQ;SAY@vyQN_>ZZ3z
z@Z9`@gasUxZ5^8mcT{aJw1V5X*gogL118%Zn7|6c)irrAYlbw3IV`~7NK58}aU<^e
zQ*hwms~$2Rf4i>etOx%*W525g4o|$+%>n09@mP`hvChE7cspF-dudlI95O)9M+NWl
z_|`?@a-sB@>re1~Oz*yE5@%X`=lc^5Tje?54gbgdW@R1@>L1J=f<5^UzZrxTw(qx`
zf{kxT9sUB_<^If?gOf&MH+&@VEP-=>VBw(PfMz&(W;%oNGuD?cx0+PLlW~vTY2ob(
zf4XbnSB_5Qj4)@1Yw>fqTXXkqHds)~RQv_ZSNgSi7fdHnPx~0Atcy(911mZe1m(dm
z-x!UF!VdZ7E}8H{{>LB1;h;+@vyWhgNLOY#SZVgh=M?x_)ayU;@PWOZXVc;P_MwNB
zVZX&|D)-^Y%^d>AVS^ltH_5Q|nTPgTFz-96f;f02a^kcO{OQ+(NFsb$y*R-TP9H3r
zy8#zyc<EZg9@_DjZ^Djc$K!0_{$^2Qf7n4V(9Z$(dAX@O03M~*sdb0-gA;4L;j>J)
z^E~0IZyrj%@GVorIe+-!+HDRec-Mb#tApVYm5XsMaP6jhG~w{rov(p*aR0}5-y`7(
zt=e@5`0&m+$wb&uAo#pA{4lG)tq4BMp*buIw`+%#mBD5w%RcUduN2%*eFc9g^;46C
zZR*^|Yhl_bjoo`;D#h565AezWLy7?GFzK|?3Wstwd+vb$ga<Wr!%M2+3p?TV1`Ebv
zxOmUhFbiD%=hD&$oYRnP#t!Re9Xm7w|6M;NO9!7TKe6>EY!JNl*=E>fkze-@JUw8X
zLJi;Q+atdUza3=f+6Y_RqVn6&hxNjioQ0))9G`AcYct$CZQ-&4Q=jOH-Uf@l&M=#Y
z6-OGq+2BSF)6c)*Q<3?v@djQc-osr_C*dZah=@J#ipQOO)39NMONS`@`+W`PD4a}x
zu0kAExaOHK4$oE`rIdpk<32lg!;WmMt%qP4;k(~^VFiO_w&QT^!i(NE*v)L<-w8O3
z%GRJ0-o#L&tOMWv)4dZfBdcz@d~U@MW<7Z$z6K6!RXt(}*N2E~je;ZmzQ<mHpWKX!
z2!}cLt?68bjqkrXeHEVDC`so5Q{R#7_JFfe57&}-XVTgGmhct3Q{E)5ajlK}9BlLb
ztc)X^KR3Rp1Ggq-Zg7V~_u6=C!+C<aukGO~S1&y!_`2UjxC>0ZLfNGV>umq3W(#*D
zZmN-m4}88Z;Q(*$jz2C9KS&Aqb{_8jn<60w>sPRLT!Ld)>JA9O?z7D525{fe_Pu<t
z{jn4YBiNMsat=2vR&@Uxsh`jrf!CSfJ)w_Zk^D;udp0n@KPfUiwBfU@Vsjhe-$8rK
zbz!y#?QR?3^TM1QYVe!&35~@(+#hbiI7RY5@4DAA4{u`Hkf91EpG<!B4d$u!yiM}Q
z=%{Na;nyEbDdb^w1IEH(Sg537@*q6*G_bS}jxNqMBmHA(cXWCOtk=2iIO!jXF}eb6
zut7Ejg#he(%W_*IytMbiq!2v$ZHD7Lob7zjYzN%CVV&kRoFkB^!U_Lg{t#LLo2CY?
zlm5FmZs1A@e5|N%g7jYsr6+%$!bJwPY4ot8)tm7=*spqfC=*Ou6KngJ#AE&)qk~`C
z=IW=z)@QXux4?1v=4Q!oWEN}M3a%$MPY<;?_(huet$*+<{R6sD@Q-ocwQumIW2Y5w
z!}oSx9RC5ER_;C?3{RceZ88K0G$~2=!JBF<l*#pNr72!=4Hl46{MQSQebG#FhZR>m
z#`@t)>__-rVetgrlnz*3!kpQj#LI8qB;$u2r+%yrOdWLYXbb%Gm3x3Cym>uBs10^7
zai%#3=Ph0uCF9Y%@PYvyn33yMG09H~D7Msw1$ZJH>fol0!AZ0*zlXlt7_9Wonte0;
zrTT6eDPPv0+w9+5Jg??)_vSCSBlWc18XTbau94J_WzT7YCAgaQ%~Mi8ldMv0f8YbB
zaeq7NGlxPbcLqM|`t=>D-!6^~0<-X-_TDY5FirC^^CVnaw*4179BA1Q_7(oM;j|nN
z{P*13t0S=M78UN@aLwhE-(&E(I{)(`a6swpF9Wczouj%KoH=;3m*nqan&?o3zqIqe
z>w{%n+FvQbg`Y3yPs1Mr_nWxFED4F#KjEuJhuodu@zi}=x1sz2Dj%0V!=Kfz@p8a_
zN8d5^z{95bOnYGN1ULRau+t%fRZiI1&u{B0T)i*UnZ$1lulBL_<NDhrY{~^&KBBGN
z4!_Pj*uxFW1xwKJ!hEA$wcFv6N%<eU;mMh)BRk=9vKOR9VaCh;qAak7j2)*q{NG$;
zHXA%Qf6qb|etP+-A89|QM+xGGNW7_fWfLs3_|{DYHoR(5xq$K&1UwVcf_b)IkSFaW
z88mWPAATFr+tv<O7YEIqhvW8jYj?q4AD78Ez-}zB`Rn148Xsy`*d(GntpPrz`SheW
zyxtk(RRNpavtz#w{}Q{iPz7%*Of$I!zX|^}^a5ska#i^b++p$6<RzRYR~!-pUrf%I
z%!lJA4fPXYdyUkB0@#^4Iw=iKoz@Rdg*8URY_j3I?y8g-uw8`BlS0_cW48Mq%$dCG
zT>|s=_nnT11Nx+^D`BUdB1a<OqZP}Ks^Nnx?60EXU^|&__3)NJi${0h+{wkZM!2s}
zb9XrWfkt{q2Q2a=iarF^;hA6Sf>*BlhK9m=Pxh+}!8P|Q-2-8{^WQ~A;P9_Gb3yQS
zOHt=(_)X%jIuAJf`UAx|_)sm)v8!+uV}IZ>iFZ11*uynuM|IZVzR$X`mtjS}z}Srg
z7%$TNuU~@c*7y5tf~|QktlGe~5w35T;Xi`U+l=AcDs|!8;gG;sZ8KQz(&i2xSo2%=
z-cxX;+UYcYSbukEsxDl%8b2WhJKSr%qYlfQJkYcsKBZDfs|B;!`)-qmUyFUOmxE`b
zHQyhFV|Tt&QGi2i?rl+rO|++I_~HLlPrTNH>AYSB2*N(iQ5#HP_M|fEe~<C~y=scR
z1KhjU*MA*09sg0}4yW9_r2i9se(kfbH|+6Euyr05&;PGB5O)5|Uhxec`IP)P7@jEa
zmiqy#xXjIl!Rw5<^k3kT%MGt$V9y5Y&{6n83OD5gI9yW0y&vZE44HfgKe$9UHwc&S
z=>IPp?%qE6xf{N7SD7W3eEwaA!Do2K!+67|@LZbye;?ue1E&0Cu&W4TPBVP7@2Ooi
z{MhE1Z#7(;VK4U{rub<4rv~opuJvh#nT2G>UcshpT<2Ti=?&k`Rly$R?m4|MZSFJm
z7cg~9LwG+t=g6yE0hes@;rI^gR}KGH0zXOpwEhDwc%-xUC4A*xz-@{_tXEPuF+PKP
zraGLdVOs<FKoV!W)vv?_TbfKckhtQjeS$o26yu&@5?>CGUXp_wc<LKS{CiBufCB6<
zNBOu8PP`>d=L-vSyHt_#+SoVodBaIsDhjRe5xZU1fpE>s=cjsL=|>gU{bBF4yN#s&
zWZO2s4}rO2{|%G&Ib)qQ6a@21eKs9~eXD=&4TI&LXt>V6wFM!EZ^I!}Vzb|2dYQHx
z(J(!A3iWT;%jbM@1YE!v?7sw$?8_gChm+%$?ybQdpAM|vgYOxSFj1oaEfx76O@^nf
z^#$nQC%LpHNwCbQO8RD4qf9e3oy0xLUNFOaTRxSiz)_F$rC8za<1Fjha9S;|8YkTN
zGipZ`ocV;~-7YxNsNL)dyj45=^IrIoxt3=x?DFG|0qOs~^LHzr!ouv74&rd3E>%|{
zJm*L~wV!;RMTxTvUf{g?k6d5<4Mox=@W`3a--qBsOM<W8!5amswy3~76VW|2@X9(5
zwHo|z6V3T{_`uTr9Xc@memkE}uzPmVJw2F(J?%{o{B5sTt`Qs;OWD^6|K2bjO~#M-
zG#PK&A#y*Ep|2%uJ=15g8BR`3yF$hr7u_Q>JK@Kdz0?h1roP}ZUU*Yg(t9%A(AJgx
z6N2L{D2h+R%HwCpMBxgN-C_o?&e1!<((og;8{5hFlk-=QNe;ealo><DpYA#n{Uh+l
zyA*z8{L$oIJg5vitMjdB!g0nT0qXF^_g-ViVL`1LYb{u%bjXm5PjrXP<u1Yehs2Jl
z!kvtZyKLbX#vi0eeUvv<OWua7H8yjT`m#th;s}E&nm?Z)<8}0Y5gm<T^k<<iv;U9h
zhMu-3Vc$PL+sJ$oqtSD~63*E%KSkz~yj$FQ=J3wV)n6XK!p=thj&Nvxd1EZ>>A_a(
z0>7;deVYW|>N}+s2tQ}=DTslyQZ`Em!v(2hB5`oZSHY`c@M)<w)(Ch^ZTMUy%zH#3
zDhgKEu$Gws7k=J!@dnK0dCB!5O!LO^OE7$?Hu%LO_*NuCiZkqKcgMaE-t_b`ryJ~M
z_oV0r?D9#K#sTi3KNJ5F&bQABaD-X>Jo;<kqSmYS*068o&f0hIqlxZGTX@4mMY?AA
z@V)F-E7;}g(CjC8dN+;sMfh+7m2@vGx{$zk7QQHTm~sdfG@DN*{p~;Y^Qx0@<MkII
zq(2U4to}C*yPap=pb!6A<a7N6-*5i(owR2<Z@J-b*t|=5h#aqgM)NZJ7yP}cu;1qJ
zKK-JbEU;#c;p};Mz+|3jFPyaUXaku)#Yc2S_~6T){{NidnxTm260m3ICl*h5@WE7*
zINbTWbgK`1I*QNm2po5H%N|m{lELmShv55)>zub>Z|9u9nlQtpfh1`kj{Cn^)!`m(
zLs7Ec5cJ)fVhk_sdUo_ad~MLa>@1urT%$nND=IHym2Kcl+`PKku*RuwlZ)_{=0oaa
zy;H}%I(`Lqol3TN24DFux9$o*rjZ;dft7_%s$7FD?(6V2!WZdBBS>7aX!b!9tRwlO
z!y7)XL^Vv-yQltL;wAA4&0N!QSYwORMH1h2Z-d)6`0U4UKTmi?&cfj*d>}H3?iTzZ
zvodfQ?h1L%7Yx&X7x4K9^DDo~i-lGFL!vieJ$c5t<!v-PH+7VetT(OGK5e=W@1e}#
zXMk4)hj%BykM>xlGr?uSL)NKq>zmp#vc7$KVfuP9ES?-9L)N#9KPKO0!D?^5YVg6X
z0<(kZaIpT<da{0Y9Qe8?4`z$J@>>Ev?D<un<j4CQca?_c4vZu{fxku2q$tBoUacRq
z;i8Uy&f~C~N*!|%Y|ixC+!&71i!>$iYR#@bQ@D^eFs%?)-y|<{6)yfxMUx3f^b0&C
z`?EW?Kh*N!zeAq}L*cs~3D+KxxK3qHINaE3NAm){V#oR;79MDn<9-hN*f2RHz!FW|
z=PO_aI-9^0_&(3%wQ`u|wat1O?4b3r`VD+|teTDNNB1p9^j5(&15Jztu<&2~^DXd%
zps)bh->UVq_<V%D?PM}uz>dWW)g7>cLR5Jb{AKz{Z!65IQSz)7zH-R^{0Llngtego
zmd)q(8G@M>kH2k!ug!PS%)w!dIiI`WTZuv3-{D~U$qurAcj}VM`3Ltr)|?rEE1nKj
zufQRBiQ{Dde`q{Reai^$XJnvSorUX`_MNALzwbyHr^5FO)jw-P)nWcud@X+wfB8ei
zMGN+jFx6ax$6WrF=);T(Cw_f_2g|%pTf!xpSDnV-H_TcIw($I-sWLggpIytBoZ!^4
zJFk0S>zd{~PdH$HDW?^7@Z*i~hVPpQ2$1g^EI%)H2g1U|VT?`iGfCCg!Eiy$tGlH9
z!s}cc!r`%f+#dDthk4tXNVw&$#yqL7H~Ww7PlO*kJ?<y<nf>O@_6P7E)h;9Q{lspk
z^QM{bhU+)~D}!^7&57i~`y`7Vzl1Apd~kXSKYFX@lMnL;s~;|dQ*^KXA?@3Imj6aI
z?4`)?F%{l)GfDS7ygy4qEdxG2;}O>k3talMf%Lb<Tt>}qSY}`#<PID?w2!t0c6@JU
z><jC*2XuD8k#TAR-tgINDUl!Hz$nVZi|~-x>hVt4+<1xeJglwHM%e^UzIK>B10TM5
zq@@iW_+sm#2aA{K-)?|EY~LoP2;1-TJkk!|lH@2-fQQsVS4cd!=v1N<+;!~k7jnGr
zAQLWfy>{Jx@ZcRhb1Rxg1fJ<nx=|0`V9&TE2z%)~K1|9##>8au|NS+0;#N}rgeAd2
zcEoolXVz81v)|3?7~u$xxB`+-7w)Z24{N?nu_g6+VRNz6MtC6MuFflX<a}ExH7xCX
zZ_6{7_SE6f-x$wIk6HGT{QH#FTj${y{Fm+(!A{N(e$T);dsVNIe9Qh1USDBNDK*(V
zlAkZ7LB2l-H(8}FhBIAkntR}H?yFTfFiZP`7p?G-hb>to-|;JR)kpY?S0m?r_?@#_
z_B+_KCxPlA%uo|5QVZ86-m8p-=aWSzp1_Cpjk%CG{nQoPJlM6j@4q<sQ$+v4WH{4A
zZ-pFBXk%De3M~HH^a$yHigXjV$$CLIqi!qde*uOuv}AsgZfVyg{m+f%<=kCZYCY&c
z32ZlT=`xwmqVGrflKQ0_x@AD-yDQd87fAi~`j4IpgBx0mW<S9)LTd+Z!mdWNouvK!
zewaw!fhq7N!7(`EuoEZQ@7jiZJU$6){r8ELtfvlr8*5pDX?FMj3xKVDMwG6=3bIN|
z<amA^*-BeRv3_b(8TN-Q;&lZXU|IV7UUIyKWt(Ddm{I3(jW29>l{tYAmM><hAnP{)
zBca`r@a?2cS=Zpe_!c@DI70U|pC2sG)2F2fs|6HoCiB1JAAe~jc((Xr2-$xZ{JeAZ
zB)nNj&)F4zYAtS|0c*8w{O%6>ep1Lf4QEMoR9%9Z9X(x*V9%1^gJgZAZ5#Z;63%~k
zX)jqHbw%<#yZ|#j*q(L)&R7*2b$|oEG`W)X@PGe|id^CIW!HX?_4I|mw!gh$iL-m(
zkoE5Y!P_<0;Q+je_arPo?&<3V?~vzXC;RQ{=OOBTu*|A|q8$9#*OkTtR+Q8W+z*?q
z%+HYgt%W5tWWTX<4mS+K*$hVAJg_cHyBo<rK3;1~_Ahj-<>HR;C`0Tqb~xsx7@G_H
zU&@9$7MOpE`I8NN;Z#@QR=8*)pwu2VNK}_1`zP+B7hKN65}&xZsNur+ma~`O`u5lq
z3V4mXXq!2#8fA0q5B6sfP3(Ux;Op8GTgd*cHsJR&L)fhH_P`YUk*@SQ$v5j@w48w1
z>!S`Dz;A=Us13p4sWW_}{w)pco5+5?_U^lW9r${<VreIQ4C`0YUN3fhly8S^yMFnS
z_Kfd-xSQ<Xf14k>piMr{Df#FFyd{f+M-|>+NfSZ#>uJFkY1H5g=E>X0e!g&7zMAxx
zo&n{tVz_1W?Ol?;Bt2qX2s2p4oj44)J3iORf#V%I#g4*${)Qb{aQpVGsRQtx$-i0g
zaF+pl3CUm7%@&S@4e3XnWMPTxUfaUq)}w3&^6;Kap}0G+KL0S21bobB#V-gRE2dwP
zf?vrNQU$`UHC@G`aGh(wj5oYJdp%wpuHJOe$qOzVd#@(|mwlu+bb)R8W)29$61zV3
zIl`=Wi{^P@KI@dX*6;-Hr`|m<tBcjii*Q<5%so!{-%(i!bNEhHfj2j7OSAUe1U9pC
zmSKl=%-WLAz!wT{a&o{DpC9t+!CGmmT}<$<a<|PIu*+e?3KrPuhf4TK*wc*Na|?W4
zf2ZeB_@&++Gjjd2YuEc7f}7><xBbI-q2HHkEd$@Ym|jMK_>*Mc8A&)%%+zfeaf+t~
z9ip&%vANM-_<jv%zX1Gdx~X{@KEAf}mIr3bYIyz~?tRwqaVM<TB`q=l53}c%u)zE3
zM45)+(=N9w8DRUl$Y3(RzWVF%h!+05J<y)akIl1IA~Y~-fTRGK|12p~S=Mq;-xNGs
z$^0kes>t~VzUXr;pn^DW&xT)cf~1x8Yq&$0|JDz9`*DWdFW@6lb4Fj_lD_8eB;Vfl
z&%hwu_s28mIc)IcP2nflPg=<RB}_HcD%A`dm^X`)@!izUW3~)l896Xa;%%{!uBGsw
z#m`A3-d|76o&<X}3`kVLp5Y=%@i2e3_ct;hnED$E;Fo`^&mH_~^A?Wu56^XhPrmlw
zL(ZrAmSgW|HpV-xr_77+l1QJ~7dSIe;v=a~5%HU<pW*l8Va0Rs#ToXRet58zaf!6g
zcRy;MI{2tOOEx9ikIyZ9=>weA6aQ@!oU@~@{uRt^FY|&CHXhSfse+9kyjtB3+qjJX
z_X574xN&4ByuZXDryOP+x+_Tf>+r3$$fqzDXXjSZ-z!vtx0b+?Vy1fJdZ0bG?e`P-
z@P>3bay|WuPH--Q>uw7BlIyK=p4aFx{BhaA>JZ$R@~9&Zem}F2tpY2Z5UI?B-!038
zoglU^Jdh1bnpU-)f>n&f`BLG%8~(k}gVlaNeUJ{*^aTGihH0fD4&Q`7R#-+~g4a0M
zYHz^D&v$5&@s57tZ_E|=$Bf8!GJmKDhVF2KGae?jn!q%hRw*3d4$s%6B%e;u!N(B}
zn9x}z$77V<!L0{ZN4$$9^Nataf8rUKuHCqc%rDcr&$fuba-EN)@50T7^dbMjE&G(c
z@4-QXR7%@n=hcJ4$*{%CqPMJYjbidBiJzdPd_oWJUW=}ehrNSzgqUE#K}m*GxRv<<
z(<b<&yuf@q9J%jQ>_+&jT=0`5_~7yTzUz;$f1YuRCda>hb9|W+@fLdao-DYebX?&B
z;;Xf6>lJVm-LBF`*ii{T`3PH>%Lt~yzsp_Iy5N;I`uvA*$(1)I&2X5`W6eO=f;nNf
z7Z$V%Z}o@8<G<vz!hs_Tp?2^mzRw1qVTQR;1{-)w3=eY~{M7SEogN(YZ=s6BlW(3>
z)`vIEJ>4)0v$R~<b^^W=*xxh-(>}izrUt*;_<-dnd@lO#6=hgB`@iLR`0i}foC^H;
z{x`){Sc>Igk0M;&<-L0yj-5z9tptx9JZM8ZhV`^=?m>B2iMdX5GtBj%p!6U-J`obV
z4L+k){7@P$Ghp^)BmVmG9?6%JjG+>M1CNyYNWzt7oRdPZu<yt3B)-MWwCpJSt*f$=
z#Dg!6Jy3!9b!Oijf-UY1Kf4H1Y;Aum18=);n_vSg-`W{>1YS`-R~QO2Jo@E(0G>VZ
zHRdi{@qCv%DbG)NE1qO{ujj0ZES$75O`Qs#%;M4`=P%)KKB5Rdx^+UHoPYS#wA(Xy
ze4|SmDL++Q)Te&<K;83lQoo{Z8@~0z+75iiS7G&qJ~RJue4hUCQCFDtslRd{%yTj3
z8HxXB@MF0TpQB^GPvTP-cP}TyRV5beS74_b9~B?L{ttWqU54AsF7JK}bJPl5b%s|}
zci0reXMR4gu!ZZ`UuZsu_lC{%*~3X}R?!u3mPviC8T`X4-lPUz`p6<+0e_l5mev5v
zUG||jg3r2q4sL==_3Lh#z+<i<jh%3<^7_Jl`09>Efk`;)>LF(-_`Zan!w=Z>ptJxt
zEc{`fV;O#yWuL|im&QImM=^o>y=-3G;(*`m=T)JGud2;bbHS^ZyF$0Xa=J1ztgvQ=
zx+4P|_t^f@c34K2@;N)4x%fnj39jdLOW=Ul-;LI9gDsDU4D!Ke4f%?;z><#>Yxcqg
z4-G^aV4nlJbYif&N5nQ-IQ&r6w|(&2O@HaO!aaAyyp-UVLI2HdfCDrVO^?C7a`z`T
z!F@aFrcT2g2Jf1v;9YU99}QrYbHy*o=g+!oj(Wna{mp4K@WRZCI&b*Rx7Kh*c;~S@
zgZE*V4<lFT$md@z)jWimGVC4b;lSW?+J*4@-B(U;gn7yvB%i_*EH9f$epRWT*Gt&r
z#+wH#S@?fWqvp|SIN~Jrj(_m5F;z%CoKH2D)C;qCG_7{Q8l^kg`(d%w5al5_Ry5VW
z80Jwv`d|)jSGl^O5U!o~H<*H>h3QhG;SF0%Cg)+#vG02$;mn)&(q`a1%9bsmaHrv$
z;8{4uvpn)9e2ePOkqLM@&)eJ!R&72`_YLOvcNo0_zYOxO8HFS7i4<GIH|I)ke}!4!
z?UB6**FKw4`2yFx8l*l8C%$H-pM=BJhHjmKpF|w18-$bi;tf>c+Xv4@jKNR0rt}?y
z-FMtk>xVn9c-I_)Sp%cRNO|WuLry5bqG1)2q(1IW9b)?rZVIU?B>6vQbdrSO#*}f}
z4%qpWXuxi`b^owdH{40DvXK|2@}!|_fz?`;+L>X;>hCQie`$KV5hEPO!gTv1tR7x3
zKnc_To78QCm1yVk)-ur_&1knazz4hPqL<+G@ozs!zVPOS?Z4rT?wfPp!d>a<;}fuU
ze!UCHr<d-s8-uG)jEdI4V+8>Rx?pDBsQEhhQgTIQI~-k~^W-(G+!K}g5q3LyHHzdv
z3uqN?fRFP;XpsJM{+IXCE7)0e4-4r(JO8}#DTl2@WSd^Vs+u<Hd2sB{@_Uu=$)eJh
z9Jp}ggLVl_KVg)d1kb1`vcH0jvkP}8z;Y+mKau|0_4?FYDC}|SNqiaXG?;%S1YR|M
zp<4u3_o^Mc3LmA~%uxzw>lf5}z?(Rk+n>NRx;}+Y@Fl9}r6m7j$hh=nI8LqHIS1b0
zeVytYTy^A^Tmj6%@H4~|R=T(FGYfVfy``@WUl!R_o(Fe!Q1ofQDtEcuGT<v=u{nyc
zbB(mZW0=36Rs0~FBO$Sn3ZE$*WR-?}hD*Cie*bH$BnepDuQ-ZazkBwI1&F|2L6TR<
z_3J-XvQY>w&=K7i2mj1h>)?P(gLoH7etdJU(RSF_oV_Rp&iAkr+yvW8{`E+N(|%Jv
z*$Cg}nB5-*dj>>!FK1x94y#!r$167zr&xp)1D_U$!)0j;6SFXt4tp%ge|sRo;TwFw
zZNsTh*fyQ7^9}54wK*dR<~rnf>MiU>v*&9%e5#9Iwi2%4cKk@{D|_6f2)E2tTS$g%
zBlRhCx6`*6zRJYb`wR|s<X(OT*Olz!sen7Y8wT^?+up8Jq`$SbZ8Iu_gCfIDlKyCK
zc1|D-c6hg$u?aT5m6@6WvtJg}?}Rfq9uIi{%MVx{=z#^YLn%|>$lrc`!*Cwk>*h#!
zcfgDa8Bex^QmDniLZX}Rkn!g5)!2P^;W*Vpjz3|3tFFi4u$HCC^FQ#V=L;U!VXI>=
zyw_nCXUU&|@P{AW)wGkCuQ`uZxx-Gs1w-gztz6#&p70$h^(Ho${mivCWB9D~TO&TW
zTSvpt5LU@bX5oPE^3@;Kg?SD?UF3vydLO*ihMRLki&)@H>798eVEX%sG3>B)_Wb_i
zu&1n(76WV%=Cb`T%;D#~pBd(Tbt?HFta?&=nhvfOZN4E5YfqkO+5#J}#YOCc7loFU
z{-Qh{&$fFA!Om;Td)8oyW8VYzz`GUW<G;hb46Zg@@D8<TZ!*3YCR@#Nz<fu}Nt5xN
zabdD!8yt|XznzTd4^ldY>EVTgGq*p(k$cSQHo^m)eU}H|!%9Y48(^)gnS!MK7PUvD
z{-xvlW4p-Br2W{~Cyp$`f6aIKk@kP-vAT5{77&~`M%sU|c4N#WEOz$sKQg{4Z{BIq
zOY*BMYsvT~R3bXj1#kGr=S#+`gI^9ltA|}SG$@n#?Bmxn^6%jgosd=1-)j8&d0xXK
zlV^rVKCkjhRs}p}#gs_KH%hC(yCra?ZtpcReu)idZhHn7{f(9(<Ja14u|Ih*rSjPw
zWPF;dJ>&lvp4rLRM&{pk)vq5t;Zy2VG~|3E5(`zmVbQaC8f3iYFiK`|fa$(GWFq7H
z2VaXYN7%rB&Vbb4V!V>E1w1Dz!A1IWcsNCe6<lBvWJT&<m%2Um4E$ZBT#)qVH;oZH
z&%#{a=p7ef!z1$)I`E`WrVi=P$v%bNdT^ETpEyeNhdo_(Csg1Jzg?!JKZ}p=d7}z{
zKkA;&2y--E%RT~A3R4AdgJ-p+`IO;brbdlB;Z0#Z-=*L)oeq(_aM(zgwJiK1>0Or)
zT&D0@YajXie;VbY@ShD4brLYMRpz=BESlc+L<By4S8zlY7XETuPz+{}3J^L17ltt`
zaKq0f{J*QfM;^Yu%m<I#ewNaL!=L;;y%SbCtk13kw@BtUalyMLi%bpSYqdL)7~moK
zhkWL+{Lc3*%<uvCzt)%Fi2I9wHo-~1F00$Zzb|FDZG}^k8zWs{S+N!)8hHBoK{t2!
z$mMJ8wD7}EiRC`<MX&U73b^$;?E`<9K}=hU8kVEKG!g={`8so~rs4mQ2CZ*z!)A{-
zW7c5X)BCr?z=zAuoSTDvBGy_G;I5~uJ-=XP?sM#E@Dq2I*E8@&=9=XUxM%d`fmv9a
zY0r^-Sh=@<!!S&hI!yf(&fy5~8-eThA5(t`%W2)c&<6)KCI43m^Hc2~9Dx5dQ@Fi@
zy}V`LcEOPwjP&c_nT%e=Ubxny;{GRi-J)+#8!T{qn_oM;u;!cG0W%AEyzPT)D6ZXT
zf>k3vJQ{=#u<ZKR0#A>KeV>3|8L^Gl!?PoPEnnfB;ZoB^STlQ+?HByt(0!pwct*$f
z^AfyAP9gm@-1KOamtqR*GilCbFL=O=bBPP~JetOS4c67TtH=*ORr~tH9NtXL{C+>o
zF?>nT5_YZ)-YO5XF#P$Y2dnQd`E(d&yW-}c4+{s1Za)EstS-r&fZ3Q%^=ZQF(oV%{
zu+#i|K7H7!NHks<UI_1?HiQLD)0vLLTShh2Enw#NjQz6k-r92vmtdu?<>rI1@u1#)
z515@d`?)lnbIi#1Dl99+B`ybVo^GoRfUlRnW7!W+Pj+Pm!Bvt9VUjS@y3V(|uoumc
zt0?RjtJfR>H~rT8CI(;L)x??r|Jpj=DgfJSeq2m~v%dGeCHZ4vZ*Jtl)>-bkdtpJ3
z*B1-mn%J*<1mTi>3i+k*mnh#&yzuoRnecKr#?@w(<SXfmayG#7jK9C^g0&*}|9ylb
z*6mFGpYNS|tP{R5{7Z=g@oicO{5|lPip@(-nEf$}!!XQiH<Q8&i?VLg9)&w4yQ4{d
z@4xlW^RU;lp4T?`zugNJi*UW^ho2;WpwNkW9nQF<)J+fPJ6MiWe#P^H`@|ba{`+!6
z*KM##Z*t)lxOJb}88*10JUpEVez|t!3qQPj!&1m5ctvbqtq^R=WwSuy@+m2CN8weg
z_q`<Uk`wNw0)J0`^N|5o;JiVj4`+w&cuEWB4meMqg<~JbiEf5}?VAy^fQ>t*n5g0I
z+g*(3;lnnUZqvXkTDk`I@RsgpPHU;S-{7di0Y~`RTA>xmKmTXnJ3rW)e(}UA;!|1M
zvjgB&&EE=?i2oegDjf~y{*~fgK|JI5JX<VGcUqQZotSbeJqwOZyS%&v2k|xq<-lTE
zKU_%umG~2lMeu_mzO(c2D{YY{&){5H0rh3r+mT1%Equ!9{a_#b^<TuB7Fb)pd!`Gf
z>4}nl4Zl9U{;35v9=BqzfrqY#oo#~q9)D>mhXVvl550%!7z&Cj;3_7y+FE#)Qq=xA
z9DU3+rvm<6@k{dsJTtXv-%I%D@a2t#u;VdVMQ?b6Uc>Kt*zf&httZTwqEJ{3FTCFo
zZVO9UUUPj9TjaK~TEn!JQ=(Pye9ZcwA-v4V@uL=g)&2US0sQFZjht6-XzujBldxG}
zhW#73Q2S}=ad`6YW`1)1IS1<QABHd8y|<B^|9C>o?n7{(%*tz0U(3&%S_NPMJ--Vi
z{)Hpca4#J4b!ZnU-`Vdaio4*C>_+RQur5Q?+nw--fwHm!*u*j8F$?^|QY@($w$Qk-
zpBWA^ymR_7OmQHNZ8IDp^;bF{W^VO<KnvFxot@2qwba7{DB$8dH7$?e3n`v-Ybp4?
z>I+xsLs&WM&i6&w#O{V&8f;Q})qMf({L!~35gtAnZuA|FYEh(l0I#qG3{S(wLHDX+
zU{RU4ccZY;tDh-xuu@f+<`-BXRn;gQ=CjL?_zahcr6@$fl7%T{-LRDMulZYW4P8Uv
z2lz=~T<QPw3z|07!6zS0INe0N*JNZCj{sLo8A<Af!v9rHU#WzH^RI6v{XKjqi&7z6
zCby-D<V*JNuFHpIlMHT>>q9K@Dt{n6mzUHO0q^~1^e_lc*=oR=0JGSfleB>&e#|70
z`g)@)muCkj?#>&^g9Rmou9(8ve4}Zk{>{Ixem93VOk_-v_ScH~(RLOVEr0cawC|0I
zS`A~^eAb8Q9c-Udy#F+8XB7Rj4mMgf-fakX{$};>fwMx6((1y;ID{?wV3Q*D>m=Xr
z`t+kwILd$df+pN@a5ZECR^n_L(1u4@s+wnEBk|mt6ELfFQ{hio^!%CUBwtlcSCMKO
z-+!`+Bp!#m&z$3?fs+M`skLCW3mLz5!QmY~QzTw_vbdcW9@n02JOw{WES^0IKhk|t
zbP~ShS>2)nC%J6ANy=NoE#>6_M_hkqrvnSf9XGlP>z)ZQ)hE7HIS~r;Q;8iV=eugy
zTz41VJwq);%6IEORsCeRPA+{rIp4|>ec4o)Le^&!sgI#8O|?a^H6P2Y8tkUkm-!4H
zl%5+R#}gCKlY9#=R{6gr<=?}5j-?LH<T<^Mod46bh{+-NPDT$4IsXLr2lXQ`HFGr$
zDZk!4lfgXfEp>RBlt12&OKuVVYa@A{<a2d*`L4lj&3Pw|!u%^k=9Dv-KRi>akHN{c
zNm-lVp5mLKGO$firZpohDdb6Y0CwJDS+E^GdhTW6ZkVUpP?s0Jx0Wfy4=eX=PY{Av
zUpV|^hv$A$8H>Yw{AcVq;PlAaR9QG#hCylz{O@hL)gd_4`Bxr2tnmB7V-;9>>ZjrI
zL-eO~E=?`?lg6jk6<9R*OSC?`w)vmcAUw=<hTRh8_|?`o4EMKknc2c~b|+*?;TnhW
zG;i3~Dxl&S9J9b?;tJo~{wpX84oQjN@`AUzNNvr4>t!oDo#5=Mj<PWLQd_4diR<w2
zD&2w84cGTO!*M=0>3rc%LET?hV1*;S5#DfgrDxt{xM-98p^LD8#2GCQIJCX4)(X~R
z_1x$PUudl1IsnTDHmLc-EV~V272v(q1(6}J+1iz>Qt%@i376ZjP95DZ8Tj^g_OfXB
z{luOwarnyFxP(}EiLX>!0@nAuHk1rU2Yr+jfit!LyiSGJB+T>vgKrECZhQ>C>~@Oa
zhb6U*C-X?Y_`T~S-#4BAN(Id5`tZUYc&$D~|26E<|4v^BwoJ7fZGkf@>*e|2XMUr#
zZE(`Tc@Y6vuJ?)VD17<lECUa0;>0gG0iX8_3L*JZC7Z9#!UyE9+3$qUkNO+^gm)HZ
zo05F?4E0IMZ}`5NAzo<*Y<8=vZUbypCst1KZ&GG5(8I;HJCa#oem}M!jPSdA1#IlF
zfz4l;9Wa&my*~`FijN&TCoI2R#FZKL>DDpZ11AK=8#W|kKDD3YRf6+OxrXcDOO0#2
za&Qw}S#~+RH}y`EA{=*IW#0?<C{z4t8Mtn+e=!Hv@n>N@2%q$G_Im{5Hqa(XIBUa3
z)dV=1?pD|Vcz9!4Q!IQwAxw2Ye9K!ZHUwrq^mU^w>^s!S6%4=Zn|Un;<A;SQ{9uD4
zEU6^FvGVw>Yp^OKtC0|_e6Z`(WteV7pF<p`tq$t8gC~0N3s7)CWoMv1e7`-xmBjPa
z!#AIXcV$G23cyd?S=&_L`NI4eQ8?~GhmkVu8j+Dn>gQg{N(>YH_e#iHQXhljEu0L*
zwO4%i!S5QS$6i0ceuZa<^A!A$>zHW`Y$W~9>MSht#WFS$roFKzz#gWkK1Uw|M>d?S
zcY_Dk-8+KdqeB@XSK&nmAJahi_*ow%7g*FWVfrHcCY<`U4{UTh-}O9P-qq#l4%a2|
z<VnDE_RsF!f*lu@cT2+#8>adq;oQIFd<*w6pWm1+&4t}!eG?bqOA$hAPvOJ6w|Y6j
zs;qR8Ut#GXZ;H#X=cDH*zrfeMxO30K&NnD0NZjj4yre#Seq-)K62JRzU;h#KVt)I<
zX*jC+=><i2AFtN}iPsb>F$lr`MfgRL_~6~9IDWW&o?Cqc4vN)LVuC9~sU}JMjrU|d
zJ$xEJ^F`ufkI%U-C*lA7f#!#1;P?cJzrW$!`o#qj=lgy+a~PJ3j)@}inu#4^gYduy
zLG@9%((+nYJ<Ma8HbLSk7x$lg4}S@gNFi~_DF^;Cc<^_vDJfs?DdB<=_{~0DHgf)v
zZ>`+3;W_#Cwh8!OguuT{cs<DM&LDh|?#iPG_)1=&;3O<OsJt(Xe14K{n8bxPyZ-ir
zyO_==kHIgFo$&L4EzKwN`{5&2ZYqv&3h#avQl1Cvr<&|xC;y_xUbvCzYK$5A{O7N?
zhTz}KW?Uxlg1Yt5Zg__6#)u{ycqDR-9B<Uy(O#Xzt2e*sfGb?0Bo4vZ+I!qT!#5Rz
zUdqE>Uy}Z7gU{{Fye<l#q09J6j`vsR;U;1DR{r+%7WlW=tCpQ`hy&xfPS~od!f*#H
zv^!vX6Py^{#l0C;zh=`xj@K7BluZj;DtF&)fE`sAFaJrz{R+|rYM<a>yti=?R-oTW
zRS!q&@2s4H(-MZO$npG{B~>TjSAlAt?_mB4<*hxiQuex3BRth-8QTd@reFM418bJr
zdNsotsxKQz{{EOS%8ziq8~2S$SXA#pT_wyq`0_|CJRV)A^9p{!#kKqr4)JW3dJfx;
zp6??0CRf%fieb0Ywc#bO(KJnJE*$E-@p2h_JWD}12VP^oz+VJs<|=PZgRcdrQ$K^V
zcKgIWge?r$Ugg4eWkFu?u=?%;Nl##(?=_UM@I!%Uy)5|7p7y$%u+6|SLmnJ!Z}B+*
zeqsE`KMBrxYFFtEj|#S#CBuE(FI2tYv}ytNSlE8?jj#)RWK3%z9!}+9dFBXv6{O}z
zz=a{)an|rnq1xNg@Z@E8o{O;3Ue;r`;j5RfQ<=kW7bN(?V6Iv@HY4)+)RrhR-mLsm
zUDkywvL~JV;d8b*0jJ=yv(iGIaHDY9g_H2Lk`o)f;oWB3v&UiT_~<G!e(@KGw;qP&
zHPRlC@yg+0qVXa4jQR8#2blJHuA&UQ*>*wF367k*qq84QI2M>;4o7WDl@f;egKq{{
z!cC#<l>%_8W~00j>>?$a$^++(HEcJ9-`DPWwi9L%(z&Gp_hlZ8V}aKe)h=nn+xm_^
zW`Or7HFS~rEMeaCE-k!pyy`ib|L(Oor%=JY_vHD>d=tYH5%@O&^GB;7wG_;FLxpDn
zj!^Fr-3gy6wxRkC=RbVCX%|e}av)_KmbiCGlFZkkeO7^k@XK{oCR&(+A}6*NR?I58
zzKHprR;AOc4Q@Vh$NUfM9Mi$p2>(##3mJxAm(c#Hg(?0mTp;U-9m{2bZ(vKmy}SD0
zBYEF0zJ#|&%&!c<vbpI$Uchq7e9t;z`Pr_vA~^i<Ok@v<U(=q*gJa$*Q`W;Bi@_f<
z;VtKBhZ=~3PMl7M|2FK8uYrxD{AKUMyQ=5h-@(&;$Ey?IR-+wam9W`Wzl<n2HLHDd
zHSBd=O)LWDarsm80`4maWV!_>uoR`fgs;2mB?ZG%OdW<#;a-WmzJ4(M=9{u5@P?-r
zv_9}Y`JCB&*qG}6v^%^pRR3ckyzz*;yDPl%^-54SJU=t3Z~>NiQhVeHJbI`8ttEVy
z_sdcy96UvtV+{X{3FsvGKU5|q4B@@<$zdsQs^tGTy6<?b-UbZdBqJjg$)-q=O(i3e
zy;rhjMr0);QFe;#QG`-Nh>Xl4GbNcxMnYNTXO>ak>%4z{KiBn~C+E4J`#y^f?$?K9
z$WFODf+IC)vUFhGAp@TKuttY+h$_svIYUAmPd>?#q*aFZ?c7nF1cy9#Uyy^-0+Lcv
zVZ$?a{xYy{Wr0pCoPBvvUI=D;`(_t$d|F`J`&IzH$~4dz4IjQiSHuG+m6~S}{d7^f
zlLz4u(aYzF<6oswRaREG>d-Gq;`o<WOY89gc(wQMd@w9m-f(FbtodarkLVkPzh9w%
z_h)Te6UWmPlXA6xQgJ^~VUjf*-pQh`yavZJ{pz_6i|R%lU4Z}lV_HJ=zsf&+F%KJ%
z+B*5d3e|i3N8yqgL7qVP2%RX|FkH1${EIit6_oL|6CR3~PbSVU<c>EPzJue+e`yov
z7jq8;S?gi1k7-oI`GZ20+2a~`bWd7?JKW6Nc&QK$YZVK)3LB-Yt>nYcS%f8s^N03d
zrnTwtUgwuTiR~qJr6}KncXX9JxdbzF|E9SE^HlL)AkIfP?PXGK!IPrg%uetz1{eQe
zSpB5&D$x&NC?~rC3x3lmvV~P{?CbD=v-TBSB>JDe*&4aQ79Z2OF2Jc-@h30Bt{cr;
zMBn@M_eOj8+-!Nd8Qez4^u!VtcljJ|3D3>Ai<rYIF>UJS;LmTf_8Gzd+5g}(ffa54
zW$44w)xD#-aA&XZO%1sG$FEug*!O4xwHkcP?ei54`0=r(p9=7`<pn+B{O_*pF~8G9
zUN}gl4BK~Gn4g5TZp}`q!jYM8rzBy?E8P#|VVaiBb|IplJ9<qKcF?(OcnmgdY7&=*
z(<!n~@WKbR-_y&%f?7<C2jN>8&)XznmK62Jtgt{}+2fP&=hS9lX86;;BnuHZ?8=|L
zdtu`fNvFhNPcgrY-LUHHl|_DdG_&vqCH%<G?Smk^#w<on4v$)CMexGHJMMj4OTqQS
zEJ+0c_~IC^`3hW`M*rs^?8;ERa|}Ma_rqNx@7U0Z9fni?Jytmcr|jCn-T)s@Jy0VA
zb4S?3zk$Q}ly?y4*QAG}+T!2?nw>Pn{-i$?DVqq-lkYGh_V>d1x9vV~;MjO8@%i2O
zNPpTNwsK;ncZ3gyFdy`Sn;&<~5#uA-$tuMgKA%Y@=?SZywzqJE1z(!~B+hRy&gFJH
z!FLo=juYRfEA)@cZQynG)B8eT7lH5m_Avbcf3w?gqSdoB1=wgNE<X+a66wQp8m=+a
zvx$SvU!9u~f%SKJv8KS%nn%5bVE#zqo*4Md^_|jOF!O-?okY08b+nlscDT5%cn7vk
zdwF{|T&%mXNo>z!K5aiO9Jo?ab_;$=asJg>GT!eZqk262*g;W!1tueHBZ-19SFbLP
z!rd~IDMW6^Gk1L$e)6_Lo5;V!Uu*M(DHW(rl*7g*ma^V3f9Rzk;`}-9<ADM_c-NxH
zyAJrY;{vB4T*95o&<h`(s>weAAL?HZ9fgG!qc~5&=X&hl6X(lylOq!XaK2z@*gULK
znQtNl2Uah<Ux8=##E~$=SN2fY{DtL7jIXl7{hC+v$+6xBh2NH@g^O#vZD`<=(%R2=
z!{y;q`3x{QhqpHgOtR~<4GX*{RbplboM)$5a1gfrq*c6<gz>#8ZhHhSXWGT{8-6sE
zTOa}}+oyJn!@HSXP7~+16ph;Qlkil@cm#1g5xMu&+cx;vsQnsoJkm1pU9JQ6P#QaJ
z1fNmQZ7YH!RD_GI;kGzU*%DajTH)G7xK1;0;yzqHOMcq}Rw`jPc>sTXAJO9nb5~1j
zN5UPoO%B2E9qG<1w_#5$)#50aF3MNxI&9KW;XoV@%68Ee1;OdF(#6E_B3VFzrw1&1
z{ec5<d^r&=_uUI-7UV4^j!)|tBidbH5~c2_r?5sevz!~8VQ<ny9RIpnS#Vv12lkK^
z6UV=g6@Mi<!{U!_uhqg-CPF^8aKkt8o>%bqr>|!1;gQK2);2hbbp5?0{HprG+FO|V
zb<~*)@B_h_)5Q72wApJOQ}}&yG%IobG1fFrYXvVBKX^6;4{Xpc7{eOx<RhnHKgZ*P
z=5Uj<9`ibUUCN@y2v$9{xV#DPoD{Kkf=~M#lsf$r_b;vG&)C2UFWMN+!0$Nuvxr>c
zr~Xe<_+t9OdUx30=;_|`@VVW5Y`*XZ2L3sBxW<k56tO>Z6aDBf!}~k8Xl}tt@h)O_
zVgG6}fmoQ5rtI7uIIgHMGalCXBbb>8pA~vrmj-jTyT6HpLq_k2rNesDKdA4)L5qpH
zkKkLo`9xCSS!?s=$M8d&4Bt%n7=`_}XRz#Oe|kFHCMJ5m7(Q*UF_{BvP4J$|gR?01
zHRQrZb1|tz{^hINz1Q&JSU-Ovk2rVY>Kl0C7;SPr{8B-jl<pV){^w)+?ssrf<{foP
z*mGP{<pca%>vudote@*^-w%I?=BT8F2ea)ye}c)~BL6YMy)rfXzr!)~Z7M{6Uq;dG
zX*g=9aO?q?*K6?U0(`<zwT$R@$A08kf=TWcZnDFq>zgv`@K5DNE>`$T^Y6p|;90H6
z5&@XpnNNuv-`Ab8DSbzX*E0!JQ^HcX9V`m_>6m^ZzVCM~ke(5O<)vL48DPzUSKV@i
zi!#TE`J&OFX;m6lnkzEmfVF10PM?Lf7r%P(!hdSHY!%>U9-f|Kum+v5j45nKXYrpn
z{OdQLwJ|(uL@F&0d#Mey-+*fl*0M>#SJuBh4uPK-iUbh(%eAk8=`hc}F$*GhzV_2J
z6aMr_OjQoP@FaP*7*^Q)e3Y0UpA2WWmcroymbZvp`$BqF2W;E2=}hG6mvRF-VW-<B
zMl!Ipk{0bKOy#z4ToP^|HJ<(of0qqOCh{#B?Z$PubuYayk;`TnKiGoRXnbsl`B(Gs
zh7jEXo;UH|R3v^rX6GH$dth!q2ceVjgzuC4+_2=$iQS^`DfdDj9@rsNZ=Kj)JDDz}
zB)rMnHbl(Vg~dh_CtwPplP$#dDBrGKQHAN9a&w9O>3L*RR|DSgW{D@Zm(iB-)eLq}
z5BB1RV?SrrS;A4OwLge{X48K=9pN!c&bP$pGwHne)d^l`KY#iNyt74--xC%-Sjoi=
zr*A8ed&7L|zmg8Y@82b8Ux$?w)qL3Cvio=WZ@`BJZ_W{)|LUi&o{=zndH;JR_^8Z~
z_HB5?fliSH4ww;4Nq{%+JljbF$7mnWNrM+izxva`e9<l`*)W|Jzc~f`H`>B02mUN<
z`H>1Plr61!22&^SdM^{>-`q>59F~tWm|2C5Yu={R!Tt9n-9E$DTGc4p;gr*R*9YL-
z+4=g{@ESuvZ9AOuU((eUxQ5GGr4=?idP1lkK6YwthFDKL&m=VvIkg0}bs5ZkagFK&
z{7KCE;1gJM`&vUU9Jb(|Ld*wD6{A$c@XsenzS(eNSH|QhEb;O2JTV`=ULz6u0UNeA
zcM|he#FILzSy<G%PcakDkUOZq1e4xd;7NspZw?8r!sjdKcW1yolR5R||6zYc@+>65
z>qF-Es9;ArNqeGyBClb55B%uhS>-tRikMG51N?-+uqFZSaQi~e4hK0~rr&|NV(yM}
z!c4M3;Y6QQ*3?S`P7(-qjDqjd(ddZ7hiMYN5Ph~A9x2kWgiKsr82oaQ%S#ScyOk{#
z3EQ=W*C@kd>-YBEgm*WJr>MbqLu$8(eooClK2x|Lx@aU24!T&d!vZ#8>1hjr4Srlr
zbcLsD>z)R{7gV|3-QgSlT^z)E;c_tIr7s+8S@F*Y4&5)Dcn#)j`!Y@RNB^$#+=0W-
z*1YwG4?W4=j)D10C(8WcP6pSwO!!kvO%kzQ%ew7#eF#r3ckQ|gSIPU9=fkt=k7h5!
zLc*+Zh49s+&OV~=PyU^|9)1y$R^b9O<>7fZSTL(tfLPyW3x6uL!xbOAX)eN{-=ewS
z!5Qao-z3)eFw<qHUf8W&(}q~z8F=E92H?8-3j@UZu1NDcdKB(*=Xgo1@9&)AoyOs?
zZZSb(eLwc*Pst42+dM-{tnW|D;-cr_*@VBr=J4^LKYc5(XIqIav3}>0-7WbI{~&Gt
zM6CCA@@s##;fKCnRl0DCNmSpCMf^Po&Tt_ExSV{6od!1T7v8N2?<@=XLkEXWD}-vp
z0^M^8OmO1YDLWO|X5Te-7I@Ev--Bv!-NOm{gYemVsnuuTFFx)Hyf8!fQ(-08+4u7;
zL73BiWZ^h0`D$8T9R9g)&Rz=U(KWgy4Zp6sp)3ZsHhi*^gZq1<Yb4-bZ_XAf!!<SR
z>4LCVdvl~3%%I4>M+E*TBlb}bzHnWxn;Vv!5QsE}AGE5d@W4BMq;*-r|5)DfvBN)Z
z?R{ngdw=Xr=Y*&J-dJ{qb0$7o?18C9oeJFH?-m2y`(T%e!6jd~m|gb;4V-gO{lhhw
zbBEE9-SFA8YNk+_{MV`J?L^!kDT(jA1q-IgSnfdn`z0AuJlrzKz`26_=6Kip6gc_p
zzQi?n*6-~8ESNOi@5%z)Wd7v8hwz-I&-5bfZqIV60R9twGJgV=ZS7ll4*T+nbAE?)
ztu>^oV8*nm(NAz&_xi7Tn0aN`a0pi1^f=iHuYMDi?1jTan)khhNuM3b?}z0%WX-$b
zk1I{iZSd>1p}n7A%^NRA-@+41hGt{1vhM90<*;y#!2Az5WXX4>5*|y+mHZF>UB6QP
z6gF1pn_Gp0dB*sk!S3Zb68~TWWu4g!SjPXrEZGw7-(5a#odwr=r-;+SvQsHs@$h@~
zf75$miLPr&iEw#;kQgic;K2u@aQJu4&<`%ST>bgmNLcxkh3HY(+-)@qcK{j+-WPrs
zf+L1|{sq8R{-Po$V5{>quP?)WLEcj`a7^Tsga^D_yDp>z$C~U}v4L&7#U|C^3XLC5
z_V9dWm7oFK?YWcR7}ji_{B|B5KRo!r1eQ5;`Pc<`PtFfZ4cPa5%(w%*&Ro@_1;1B5
zAm9f3RlM{%3D290*80GzXG4CRf}7Xt$Zo)F+5v6iu#wg4(O~$lin8o+IPkL8k=t-Z
z%dss!c%oZvBo_X3bIF4r_VWC6I1N6$Hl}w7R`Kj6Nr%6&=eF>|{2>?AbKqw^cb{;;
zuKP`RbKxy}BUWxWGxdjSF?`xwYJ(Zpc{QwB3UizObz_4+mAb}N!#%OXI*jn5i?vG~
ze0Dv%i3xuHaiOdkw)Y6gp@+3Nzus+wZI$Jj_rW169-q44nJvaY)UZ>()r%h3O>WSY
z4qj&eZ(|5HIi9aY0n5aH=^ugZ#$6hzU~Y}eoZn$<*&V?f37D@tW%}mef&9kREtvX1
z7yAnQjW)7>6*lF2@p}#Kn^M;J1Me7DR@jEcqbLLx;rviOwjIkjJ~$H2um=AV(ka{r
zAGA5W{0rU}DipaNPU8D_k?7ZXHFj~pw%IRKXW@h9nFZXia<^yQJj`DwzI+sJ5$OsT
zg@=wzJ{5)^^Q${dz-*TE((*8;{esdkd}Vu*Q4v=BR9H>)@0VY*)PU#pb?$wF<z}^|
zwBakFG`ol3_C1p~&%q&aik<J^E~bzZ=CFY1)|n4*cPGmYJNVZAgoADH@ytn6M>vXG
zGvzIu+Iszw8%(J(eDw`{N<cZ#6Sk^Lnr()6HjlLU!~c0c%ddog9(D}40c+)7;H-uv
z^hlZ`VY5@;|CYj6bs92n!#jrWdzHgHvt~aM;75-4#d2Y(;GT>$_(X?h?o-&l$ZaYc
zF3Fd3xDRt04&Bd%k9?T>oB=n{`%M(X2bQg>li{)F{I5#k)(~3ZH2A-fHi{a!^2as0
zc=*I#-|;&5{<k9`iSUb({Q@oU2c~s}a5%5jWvm0f+ViL)63!l{Iob=CKO|4S39CJS
zv10&^XfNIs3RmbEYL3FCpJ-<S;K0(~hsWUp=L*Xp*r++pZ3aHM<iPF$OLBkaS%CYL
zXyU!#n5F>N->~p2OAi+~>(v3(4R|hK$JAxmskbI}#|n;@kLxu%!f`f6m&oBY%M~eS
zxZ}s~7j!V?c{yfVn08le%pQ1g_G`2~Tty-=zzp~C9Co#YcUQEPu)*Dj+P_-Ef}F1F
zJaF<qr7V4TjXS28AEtRV$zTMhvr7CHgV}!>_9(;Gj;R%%gh|}~Q&EE-RV=K?!yD3v
z_|CvAG(KI5@W|m;_s_yr6r9YO@KG9hDPfqDJuA-;uB7QN6orqsssCpV`$@669D*lE
zWuDl;%IigAyl|%6kDt!)Ev0v_IN<3#^LAJGjEAKJH_UpDYVTF}rbqPRUO2F6y5$;d
zYr*Eo2+NSB?hb{Ym&o!`z=nY?O}F4;i}o}sI9Zd8HXd%M`gVLd9`|F~6w~j)q}QAZ
zR^boIs}m354=r|lxboZ}#bBUa1e+~>z5fM%Xib$;0dGdUKG_N%I55xq3Jz;KQP>Vs
zGd#K63jZy5HuV7h=f!a66P&WmXqFB81oZTd!AatzUT(0d$z;be{BFVYy9cZgUBIvf
zXZqEJn8Vb2em&f|isv0P=zm+nHp`W>w6M;e^NDKk?WqyJ{qT{s97;`C*Dt@30}fvQ
zm~$L{I9R632VY-4z$^v#u!f`w!zNJy{rvEDxWASp9Ip6UT@WrbQBRhIxdr!Aa>Di>
zCDj#Sx5wuKxZ!XKiUbY#)%XLceQ@Q=DP=vFi{(opBW(Dr>aGdQTCo2T1w1bkt!M=Y
zW$TVo!8;l*+;JrG@ayRtakxKdaa7(F_K_~5{|g6s{)_a6HO9~WT7|V~M{RuJ&m`Au
z|G;($<pnq3(3i1XvvBSO7pri1CHYO_JS^#ZHZKO|%<j+|g&*txGE0Q5<u;nX!UccY
za?;^hAHST>@DcHQftj#YP~L%IxK`szYc8y0me$t^pD?DoRtVd2H>-VwRkx?#l*4b|
zoH+6pmg_FfcnSYovPpjj56{I+y@n(Dy8N4AH9e!(Z{YWC8$VlNpJ7p|cd%Ei-TT+D
zQSZulC)}DCqwof1=<XI6fJ2rSIcs4Hv&5aB;n!0tlnwCHJK8BTFze@>sVZ2zmCj=x
z-fsP1O7uUk&sMF#w(ERS<?u}F(}dq}^{YVcYPiSFj+bf;$FE@@{*}T~-?;u!!+R_?
zyoi39=3f;Cc=dvcei3YC@sgVf?sNE1MC6)NI-A1qJ%c^bL~hVZ)h`D32n|}igf{~5
zWI6oSm`<hyme!HzIY;Efb2K%uLt)0M58Qc%arOoL)y1UCAEv#stF{i#_o!XE505b%
zzE=S|arwP}0Q1;184&xkZqJS2E?D;ad(nFM_55k`9++~kwDk<Uue9I);%}UPxbBtv
z2LC6VYj_Ff)Udoy<Tr|U2#3OFqXqnk{L@wsWdv;emDc75ynoRCUJ5)^-gBB5F9V+>
zuH1uLsH%=k!5cCyI}6}scOP<Me6jsZ7%hZD?#}oVef1jiBNgyXiJbGq_^SHLM_L6d
zo8ML-`i38>658Q_1X<2cFmF?c>pNIKy(EF?C$wr-^umw!Sb6loMcNFp1F%<U_hcVD
z{$}{oC_HlF+8bhgo*jNzIu7SB{5(O7&$CS~8#C}h@_0sKe9pNE_szpYnq*PL_$+Jt
z!@de%40z;7?9T_})oZ`uy@HHii18`@F;t%951wDWS6oGmPs{8xEM%~3IhPPIK5K_*
zZE4_s>k4XOyz$7l%j|~FO&-2Md>+O>6T_I`pPiK!mGIiQmK6)EU&q%?jMrsSmb`=T
z#KenYV*GX8>bl7bACo=ALyWHs){M7;aM{Cr5@LKkm(a@*fd}oFuRe!0Pjbwkgu9a1
zL?6OSB!O9S@C(Ms$2qW1vgWih%<*+cNCr%$^1D$D?tgoEEfcoZYNghPd3q;%Q(?|n
z_en#zh)-ATKCDhDFJuAl$r2-rhJ|^fzS_XjC278Q;j=<!{FmUc+CF-Jcz{v7(hH^>
zJsuVSPj!-SUxVqm&a*qhY@CgELgDuYFXEhFzR1+RJMgw+jLA`0xQF4|6Zpr&p7#Q<
z*OTQpMX(X+J;sb!To0hzs{0P#l#j~32RnWs_a239Cdikr!l%t1m(Ih-Qpkg@zy`f}
zPLuGowfuf7*m8YvnaJgY)gPL}sZN6hM4lk+C#3=#%6vcm6As{wZaxb)XOGVl`MO(f
z&~aE|a3FIQ?r&?PmVkQ<y3T!rmHa>aI0g>~Gzm|^my>>7;fJFHYNm$aT6#)hHdrGy
zIhE*tx+h%23=5e@=?uYt<@JTP?&AGe_r4%re<dNjW*wHS+{Pn2Sg-11z2{)kU4^U@
zaOz&;>7TItv)6WWF!u`;i*DFKXsLA#Zg<-Gu@_!@uxrmYT>NLq@fAECr+uGt9qZ4l
zgrNp_q2%HOJ<Ml%G3f=&^I<4yKm2Kkjj96v6tp(N0Urn<UkHH72jp@jVdsmE0sip3
zFpHTWY+U5bCJu-AUhGnXYn*@NiNM1PCn6N!2~pwGtnhY6IK4Vty{oe00IVpj-%8}U
z2bM1EfHNDe>k|1UZP?H47|h>%N)%^cGTVyKS=ib{E0)N|uITTXhO;Z^Rfv3~YS_9N
z=CuvDp$lJEmgsGTwKMD6&%-&VZ%0?bHCLtlEn)eHk?k7zg5vcz4)9hNUv(j@dT`Fm
z1-{keBlsM44-&1r0{6JSn97E0?Gs)7;nM=!CONQ;!B9motSpdvJOf^grMw#kH|S10
z&4fJ`bUsDHsxdy{sWAU5|L3vry?T0AqQ6~6rI-zy-$_?XhQr0hS#x0B%9A4Z;VUm1
z3d>+Q#yXlrxc%#NSS37o%6y5~UdOD@fj0Qtk--mf@ND~og|{%T+O-N|d%G-;g$%*c
ztqbvY;k8*kvk^G!?(7_qA4%ppu?CwgoNFiY=tZ^N>#%D}WpWz4`Ncwlbp!u?^Zj1&
zaNOZg8V<Of?i?SnKl}n2nsng0z=u2T!TF1_>H6?HbCOJAe_Bo*pGt&-G>%_;0=G8W
z*Qdb2l(cHZ{=E}=?%PZFo`59pQ&?R)yru>gzI|}16n3k3ANvAdAD8`5K=i${Uyj1t
zZ|aV|fS=vfO8gBkZFcT_2HP?Qx@^GosV3G${??aIm0=T~XQ{Oek#oE^=3;^`P^=~s
z`Jmt54PjVi$C4+Jccu&Viox}o<fbLCUTV67BAh+2A(;;|T<VZhhR;}K#S;1A^UEw&
zuvN!x7a~8epRsrWK6RCOjM$!ZXpgirJkPOR^BB&l__xm$mNR90MD)w`T%KHqo8mSC
zAHhGxQvz?mCk{p}5`Er`_pOoe*<`!U2e2vqYUXYDO?q%S(LcaqE0zvNW*Wt%!_2Z#
zyE5Sz#z`__{N)b6HpqqF8@?Dzfgi?A3gp9eVrLAA&r30f&ASwKFQOJnfW@Zew8~-S
z<+Mjh@K@KX$#w9hXO=-RaFb&4<<~He>D*#09C50%vJHN&{jBpAY?(cKw*ywUlR9$;
z7Td)$*aOQXEwhKgze!G)^ur~4Z^lKyV_$sMM_{rWCtPp9arUv@UtvA_H)Fx@-O_f}
z8Tc=qckMM;@ZIRr9L#OLEgT3d+-8<tfqBmqQv1M-l7fuCVV1QML4NRpgQMj(e3^O7
z)Du4c(D(R`E&P7@ap%q}aGKJKAZqwyB5l4a{C!WOF&%t?IfdOFR^;2t+7GLhN&dMA
zdxTQ?F~bkC>Rm1oeQKpfZn)Lwys90%^hf(14?Ny6R^tGNFGYPj2CIyEr&z(4J>zSH
z;Y0VgcG<wJBb{U?;ny?KQ>O5z`JOMQU{g9qQwun^gZ{80%zrOS@*I5HW#3;V_<l<<
zn;C3n6&-sHju;dFZ2)H!$6Pdl&8BNE5&gxcj*<(o^J!@n9eBr+x3}!z<>JO_J=kB6
zvd0BJct$o^9X87(D{zC&S(>P{;N{da%RX?<52;Bd_|bitcm8nnk=N%{VQY$Oj3Mxh
zn5cvT{P~{ed>A~EBFCx>&p-VYlnfsd$y=3!N#`ex(_kSZVP~Rm8q1TN4f`BTR5}G8
zw>#jM10Swnsgi-q{frx*!B<-R6D4885!HLe@SEywij(kP`^ayV@Gc7TZz8aTnNLkM
zyl(ULoH#6GR7v&*mYO{wb_~`Udi13kZY-*OECj2nOz?KX|9R5g<b#h`c5ZdS`yRwE
zAB8n!cB>4+A`eDC9E87pTjlryPl?zn^1_l5CofLGKU@kpIN&fBcKPqHmd}fwhv3g=
zv%1&dY5C<bR=DC=X#P5!{L<Hu=vU$DAL(D*KdmnlW`b1&b31mzXEIJcVul0xrWxqq
zTO)3Pd*K?9wmEuu>ZY$f(f?tt8N>}g*3FZrhw~Wujd|eqpD*|r;s4$hPD{W))xVI^
z!N(<|8cx8&-)5$X?dAH=8mhu3@2Q)q;Y)Xa2x!2J7ucT>+at5MRBr}<8aN(71*`KY
zC0oKr7+$Xv{p}~=qYiLlOK%?;JoDG0(g|kZ`B6*skH~yg^M^}qS5ipfyNZ?E*Wt0y
zAnKhk>)+qbVKCEn#MD+a?ms2JI}-_O@@2dy`izRYeW`G|@PoV!<VjHn3-80(l1JJ8
z!kYnhtB>FSKi;)fn8iq<^9lTGs@VAt+)#CusTkIG$W>Z|uO2-6s{|I47Oh%_ZU2Oy
ztcICZ4<*jSMT>g$b+Cn4A;kjRFP&u43?HM4sQU_QHXNktfR+E!h)%#M_Z{_nV1AZm
z>S4H+kDtFE&bsOsGzu$Uaq}91jd#mPeuOPJ=MGN5w|MIFdSI$8F_$@5gwo5h8NT!E
z5$hsM*Z<$gR@jhr&Tbvn_HB9g8on%(C9?(l7M|sL0|&8Bhwc1_=LPh~`^sSRMO8^^
zI85F`trCv5O9<QtXN%1L&4ZuHeivkhr~B<Z3*ZfTaUX72o9;1bGHhDO{P!rVTfhHm
zDxBqfQAG^4Xwpu0g(IoI7%IZi9;H<7uw;kG0}VLUf$Y@<_!5__mL5#@&Q8n@7WYU<
zHi7>WC_W|zmtX4lcZDlsE>sD_W{SR|_ORlI-w8)xD)BMOi}1(QVy?rm>**V>tYDeM
z;XWp~MN;uH(f1clw_$_@&X4g}z}I_Pm?&V<f%qO9*lqky4jFuTw_ubhT++xLv~>sj
z=X1~nqHmo%N4)_js2n(81b6NZo?3zx>>Yj?!zc6fy#9k#DYhQ#!2Q+VwPxTdALZ-%
z@NcHt&)?xB?ICe>;`MLz%g5l3JzUgU@S{nAGb8Xd_7@Fj;WGX=Yy+^b_)@A0>`i;~
zcsI;U$w+<zeszy^PY2AWuQMz~yxwd(qYdU}9Z3*{C4=w#Ho#kz`z}eq9}FxxtKk#R
zUdFJ(_wa{PO5q60@Ae$<5znc8Met|)^=?}D)TgMQPhfq`L;3VDUvv=VL->)MDAP8^
zQ@AwWw|lT=kl{~K<VN;<?y0bV^I#4!{ul~BsK>!Y18dia@u!nHWOoPt;k@;O7{3m}
z5vRl8JevKlf5Fv#Std8&_2>HqM`6Jt9SJ{pBm5}YIGm_!({L4@tIVw)gnb+Lq`Sc%
z#>(Tq!1_mz9(9Fll*Lqg;R1=l9S(3<qcrCLyk@l$YYTf@RP=Si9b``~nZrECYMy<B
z!<Soro51_<JY73HAm-bn4;QmboO%auO=Vc?!g&V^7T&-;^*YjOuwcrQ))v_Egnyed
zeC#7@U_C6aar?X|ynbzkv=u%w^=eWGo+)&wBJ!89o7F3~@jM5KnR_3cbiGvYH+-RK
zv1%9|QqJ}4g)@AIXJ_H)VZF(ISclJFavA=S<#MkL=1o{0{{!d#+(+91$8^UZBR&tu
zzg&&A@RmHuXA1b>j%JBhFx#GN{13Ib9$2Ha`z1U@Z@9h}etCHMW;J}$U|EqEA2TfW
z<}cuh@f;RneEgWD_)reJrzqJShGSWSo)*D>Dwa+W-+zY8<`|+ccwVxT7>^64l1|TH
zhQs4IGVoQ}!6BmGv^V4@F}|zF&Q|2YVeW#>#Q0X%xO1QA(*?VoKM&`2{_=hd^Tiwx
zHiH>xq|Nf-Gy&7bOK>1-isU1hW{M>3GTfmv$&v@V?p8b&1dGl}tz^N+eWyu-VaBUp
z9f|(-ktoe5_>HFMnRNI*x6q+znC$FLzHHd5#;qa)PI}T#au2q)*&Ce&|F_rk3emr;
z@uEKuu6|ywodh2WHYhBBSwbutQecna<<%GPQ_ex}TX6Bvv79P6JMa3B+i*wghxrEh
zxgDp^Re0Ouj>lV=aweGU3Ve=#imwqadp`Zr9-d8H?`?&R@(q=3VRAdY+ppmL84+CO
z@DrZC3q=2x*;=6qyz?mkfofQ&@wUuaxU3@mK9Sqy?0l;LyS$j!BXTnx^6&d$9ZHw;
z9q<m_025}|ypj815B!yEsbMn;>s5B-#t0m2ZY}W-mOXk#={qd+>DG@0I4fZMzd88R
z<dW$UyqTCGy#mV??%q8KH%yEESck{muipF)cg6n{-LZ}JDlE`!4Au#gpd^RYiYDHV
z!#P?1>CwUAC#G-q!tWTp|L%jI?$=!IhX)$ORoUR6*)w@<u*AuNWp4QDjfX59@XD1-
za{RCwYwGeFSm^gd20^%$am}FxKACH4DG7@{>t}fhm&m@|B@Mfoi$zz%9@p;}D#9e^
z*&JWM&thx%mEkH^pTTmt>P+AjZCEkK{6!IbX)<435BB7&<Sl_4sV*m)z&~SC{yl}K
zrBj{F;RKKWJf6XKyUoh%;0^Zo8js<_i6K#r@TFHbMe^Zae|B;B!jr2;yB@(dPNK{H
zaAD>10HPmpaz!=--pPOC+ymJ01T#Z8ET#LoEejs?9kz&pFKy*KOoRC-{)xvC{ab$-
z(&2^bH`mi(YLBL$iSWZu;|A&Qxr@F%M8DD3<@+=E%+T?|c=+tusJdc!UOA343C<GH
zp?C>rF022EhJ$ZA4_Cuan{zJ3!lE<6d~aZmA`_)suy?QORx=ztQCfK$4tPwb(g~MP
z*v5szoSeMuA7R%=H9I2U8#c2JgRlXK<8Tlhc<G<a7ub&Ul}<1$$=wn@0dL;3KY9(0
zsTwf<4qKAc-M<cJetq!d7yPK#()%i`O;r@I2<v5)fA@u}9(lK{!?H#C4IXfvX>j@$
zd}1_D{0bcDs6MrmL{p)ePl47I9x61frG&}rlY`t~QbBg|J+QC>zsW`TAt~>deQ=pf
zP=_-tusqMp247vLeQXP}nk;Q_z%phwOb+m7ZLJa?9BVMQU<scrdBw^P$1}^@UVyJh
z+_D!VUa#3KV+xZ{M@dV<&wUOQo5MK<hGDWW`($dQ5$x)qZzc~%d(W;L!&kZ4AFILv
z?2f&<@Xa>|u4%v=9JEzLU)!^Y&K$PZy&10!Q#R&JSi)?|{5}S7<d&?j8~l(oMOPDE
zTtBYu3H!~Tk<^1l-gJBoh9xBO=+t4A%Wo>f;KK~YOT_k+-WY2n!{n1??^IxNHf`=S
zn5o*KgxFr^*4MJ9FdbuEloEV`Y#{0x?BTY5i|B{#$?h$KE6FbQ%fp9r6Y?uzp)}SS
zqMx$PC)Wmhy|ho1gGXhV89Lyw#aHACFiGe)iyoL-bLW^8?0>FXydRdHwbYk^ckj-)
zJ_2tBW(r8c<?go(zQWt-2K1-kW){xx|G^p6cc#T)D*jz{%dorDcQc|N%-To31xv@V
zN(#Y?Rdrwf!Cc<nxgziw`>n&2q?!u*C?4N93SZH1+uQ|H>Hb|5fCssymG{A1Y)9Ym
zz_BA7Z2RHN=r7NSzG_oN@nP8U+rL`};d?@9VMpOPYST@kzaVS>K@@Ji@7u=?Tb)pP
zECCxG?N;G}g{$`bl7Z!yX1SQ*dWBz2r{S*2vk9y)`SDshRpRy2CN2zcu~y22I(%NC
zbYwq#rOZyq05%G0tlSNYo5_-$gU6*=`1iuz64ct3@aPNP9n`Rv^VdTcV8^}yZ(5k9
zqS)05wvGtVCWlx2Llj-$VcO5HDPd75{pc%j$Dg4z5?CPmkgX3aHz`U(2G7(jJ_~}`
zsf8yuZ{d1ERzq+wY~3)_PV}!yTklVRlifc)Tt`m+PH-*>c91^8xCQq~Zb?3X19_N#
zuD}<K+NiVPlZI~Azu_v;RHLV`ppTi<fAG06Yk_C*S~(@hD!i+EyS^6Yw3%Q12_F_}
zOMC?jc${@2`gaslM_OSXW1cfJaGsDw*;_agzt;Z?PKe)98G<w36#V-R3kWo@kHAYM
zJ3NVgg<qWG6x?Dup#BY3%hs2jhSv&(>Ly_mn?n)*!4a`rNh9#gfpPO?I9An=@+%yv
z`QphY+-Jw}br7bDcMJFjm)^W$@CBASsn9~PLsQ}DfYh-*xRPe${w~<q<nDt3*q!(N
z<X-sC4;`N__*-OX4I}LJA!oW9KFVOclLNl0$#TC5c5<qFehB_Kb&0kWt_+J?7l2iJ
zxu#yhfj;tGLhy|qkMoVN6*(iz33!mYi>eG3^L1{Pfj8>e11ezVRQcUX@Df$4VKK~o
z;QNFM{EnNUwFFMjuM^URV@uPHCczbvC&SEO7q*f6De%$hy&r604ym9$y6}U4#)ogf
z-#YU{^x^vxGVYOZgDXF+EF2$scOe#@-l-dO8veuPb1Dr^T{|rz3X^H8O+J9x6>T1h
z!!BN8!nyDh=U)F~aHoC>Sw0-gvN|V3c;<$7DI9XmwwVw9cK+L;a`-`2?o*<#&{$E~
z4EH~z4d#VChnb?=U~*BBWuo6*L^99?ry9h)<AR@`w|>?G&pzNy;wSP8JA0R5z3+am
zhv1AAyQgdL`@rl`Vtd_rT1)@n<nKBZf^gdE9Qzi$c4o*z0%j=6++ZZrRCx9DZkROO
zMt}0~K6vU+(;Bfq#s*m3Sz(n;KTajs^iJ`;1F-bIvN#o3^j6#i7c5fZRHY5O-{soP
z0WZbm3FyIF4cq4r!#-`62It{z=G!5MV0FG9CoJGnITa=eII=L?%8ux_cPNO$pFAQe
zF2NJ&7M$wv){63oC%hmtq^1Ht`%`r)7LF_V^eP`NIQ)6<Ex0r2Vp1W@R?qHC<c1ty
zJX>J92JtgQZu9bzYCAlAAiL}~%vB~6{}HA%D!mg5Pkd>2?1k6IqdkcJ7Ol(11RVDy
zMJ*U6pIGbq4sU$fSxfY7ncG<wVAH`}iPvF{K>dY9Sm}x{`3?BgVV+YPa6#ME3J;j~
zy3ph{T(tk|kt=Xq1&J`#PECd4%b&Mh;JUnEG8*_W_gODDc*gLYHUm6Ta#G_Wk@xi;
zVuD-Svg@4T+~qu1PWY8lkgGXd8j^8<7tYx|Icf>dihJ1z!m`y&t;Be<ZL>M40AGLQ
zA|(uGJUkt&2B%#(%(WGX<MqHuV+%Mp+d2LpY!vL0Z4bXYwW9DJe4~9u;}UEqc)V;0
z9<>}w@`9U8FH4WW-{;~O17IQTr-frMwV1zEDADh;3LAvIca=y)z*EQWtqsAJjcI{*
z;pF6vC+}gB?Y~EoVBah;<}O%FZQ3&fo(UdaXoKyGm{haiFAMu@J78;P()c|1C%xs~
zIykW5oJ<jXR5UL175s`$F}wn9yewk=63*McXjTRPTeRt{hKpVsJ#K(0owgpofY;^y
z{F`89J>dftaF>@u(>u8OU(>H5*e5t5?E}23v3j8dW;^2jZ2*2R79o`nb2KNs{0x(R
zt1Ng1#|+;j{RT^so(*{n&rv=Yn1n6lpEwfz8ZZA#t1#mf|LI5YFO4MmKg8>=n3oWJ
z{RbgYB;+_g(f<<p03ISsw<3eTE7ERc!L)Cqp3=awrjgxg@b~(xz}+y#^OtAS;f2+^
zZA|dvzd~$DFpK}A3>J7KB6geT^YR3X3cy|F{|4e=X2V2sAy_t6M4jk!wS?#%haEER
zamT<HLKAqU;3|oZgjo2rQ;3@a%;Ya}=@#5t9((pItm<t&d>g(_doxB8?p=Ic77A<s
zxNWNgkLxWQj(~?s0}74dR0_?%LGS`=Sg<Lq_^4o<=(Eo{?7svb82wju9safLI_nCT
zvWgtL0mtsNlDrB(x*N2^4}SR6c9$Q#Tcp_g8qC3MWOx&1{PIWh3hZWJd^8l+A3O5u
zD%>us=5+^lYPy{42J8M+RlN&a=fC$S`dqYvUov551{!@=*v?;|<RM%=?|R%5E@j%S
z^a9Qu&Y`^o7mL!cRKQ00RExy+Zdm*(Y=IAONwr^uMR{g}+hOjptU_XYaU<{de}<n8
zwS_vsD|&6SUtlNxtyQ8g^R7yA68>bt)p-H#dS9~Z2i)-K7XAk-{QR4V4}Qa=agT3V
z!F~C+y*6Nq`p+9gU)Sn--3|&IzZU)1Z3@4>?-5T9mrs~i68&FtMu(YTIWw1-^DyNR
z)eUC&z1_p@|M&NwQaT8;?<*WIK)xN#&%z5^-56Ip2j~1^vlE299e!}>z~n2tq(oqc
z6YL3k@V)k};FB<u1-pVGEN1=jm>ldls{KL<KGo8ERT<voP>Yg-FB=zVsKE<l{+sf!
zqexbg9(;S)CSMGWAF(-Y47Xj0Ws`(S)J$$!!7a2wOM>u{{c%ehID_(;y$EciD46FA
zD-9;e9EA;kQe1b1OHMQv3BUz%|606ZZLuhGcK96EGxuxocZC<7obVyi$JHV5z@@my
z2jI6SeeQ<Ce@3d9SmE2z?t?M#o;%LXG_ZX*O-LfF`uy&R-EgK0#rt&FN!*5x68<Rk
zF*_6HstLcb3nq(vH=7HGv2Y1(MqvF(F-|IkWegOu{=x~thNI;$?UTDa)9^}Fv_(C9
zbT~hG7QSZ~o!bKUB=ejdh7U{q(R~NM4V0-Eg;ng=@Ablg*Ya#X!bxXM&whsG8S46a
zU_nxgm~nVQztyB3R&_U`nT6j>_jSC6`-V-=Ey1_s5BinDr{nJb`wj1j6r3%C6=NT&
zkx*(Xywsv}%Y>z5Tw1B%qY1QMvtf~0?>&3r3B^+}39y!DN;MNaASJV%1lN>4B;$fz
z1kDN~U~!3;g}iWoj|pcKe1N=pO%Rseb?MzTc;IGdmN-mv!9gyN=udu`k%o_dcA9mA
zkC}Z=P=Kw!Ua;_lw{>QQ)nMfe<6U+z+v}ll9k|L+Gr$3MP@eBHhU-Ni|I>vZ(8z0B
z!|_uI9tLp#8N<|z@ZSw54kb7-?6AUR_>Z+wtO_irC3E{KOjgA%D+PbQMJf>hGj;AP
zmWHXmF$adi#)s{~B;bM;U;PN!{(;8Yakx7^HvKMqE_d_M5h9;ZQc5E74`Yl1u-X}`
zyBTmVOK2k-JRD7V@)6v>XeYr5F9jS5E`TSKXihDM<N1r=u4}dM<}c~C|6qsVBGEGV
z=8FyWFEHb{UJ;SsmysMCB>Ixa?1)^I_IX$b{I)xkrW!Wg``^BHI8M&Iu>{^rD>Typ
z8!`qb6aAe-UcRqjhe~73XE3E#iS|o)dBm5i7#^hB{8A3<S8Db@fg3EZ-pYk}nSuj}
zez->)(_{D=g@FW~q*b^owDV^M+;G~FG8f*n%RJyd?B;O1{sH_aulGnaT=QMef#^qU
zi&aL!u7^3;(&4D_%h4gQmmBW_(VrphX1xgqPyBkE44VhjE&9Qxfs1}=ME}y&8$NLR
z(Hh}6_}Sf`$DCl9%P$6qe%rD|jRV{)>K7dYhoq&&S;4knE?*$}4z09Y7O+9T7}G8I
zF_rqN5&Y)kq1oH8)^=m40n9@>l@$W-8~bOf3A<=_UkQh=XI`IHgQd#j`2*pKeqk30
zczICn36YC7SFVe~&rfZb5qXz^)pa&FeJ*5x$S->QN6iB3tH?wXd6RKW3>j=1o=r)N
zuaF#mc2byg$f%ykm&R)|=fZIPGdD$w$j2>hg=S#JRh3^vUcWN)yca&K<KRr>vsw2~
zcf*pYd%1$(h}Z*-wXk>~?R_F&bMDcthJ72#b&34bbMCDIm?U#)jTrA56ce|f!nNzE
zg~azEep-(%5!Ng;J`x6-xN&5}!R9;u3=_Fd!A;Hp`1zT{^F;1#eZI&KKAa#*cOCXz
zeJ)}Li&#C4B=YUgaj!1Gtodi;h}^7WR6!GNAx(Kn<QAiEyVPI_)nk{5{LE#pqk{0^
z!kU^$SjhgsOMaN~gNDZqIJHCl6eC<2tvyTR42zoWdtvST&sju%{Oxt_)lfXouCO&v
ze7?;+cb+f7pH787B0gWsn2RyVaP#(k^E~*0!|{KqaAWkL+~;ue>j$Kl;XtW#X$|nU
zkENG8Z1myVw{}?PS<~iV2%hKAs}kNxrK#XwCVOW9KBU4hxrto1)iCB6OhU7>j~019
z>lk}J?EUC`6wzNC7j3@}k8wl^Q^OHE8V^UqBJy@_gLwU$MJl~SSnzL8dOv(ZM#=py
zoIih=q6Ho-3cHsK?>ILs@dnQR_NFQh4(apBEQKouH@~IACx1-5Bfj4s|H$qjwpY9s
zcp?*a_Hq*>-oK@6#*X+t_5{ArB(^7F82W+OU)$G)uV%nGH9t3r{rhh&h@9xR=Si0m
z`!|F8vB*QXEB(<Z@p%b-p3x!t3njAZuCQM`rGE}=rkmsA44WO-OUs1KS7gUcU>i@z
zH&0+exktN+`8-RQ#(?NE2`w~f!=jJauNS~UI}8>zV9jO6bfVA3F>g++AH}mCErsx}
z4DG0sFz1n1lX<X(>W^hU*zr-r?&om2r|LmonEY>TJ(0(&37(;Wlhw+96vI1ZqTPt~
zk6E!Mg~&Uc-0m)5y`;8!+Cb!<JRfT3VWYJwcOoZwTJ(ijpWD7=+#~YO0(85&;VPCY
zH6rJrm_1rW<OA_uM9#0TZd?JE7F>LN7yjYWbz2?IqA5*|gmp4)EVT$zYe~Api7Br=
z*Ks`f(X^P_3EoG4R%r`<lVq=91@o$NvJl6c=O1)&pNC0n?#+$B5$Sab1~3aNsc|RF
zE~s_M6b_q=4DEo+1|>T*;MM2lZ_?m8?ib7Y@R9V>|0TnMZZ$bXzIm>TJ`i4s6zU{$
z+Fhn{*I-?Gsh?Uf<E5%RXZTEU4wDh=+@{d)2)A&Rp3sGdUS`P?=Ld^t_g^rEy<hWP
zHiS#(ME4MReNb7nG(0ta`xKE&=}6a{gemkMnG)~kPnpVl1WtRm5@G_&2D2OR!hCLA
z5=8#==Mzuj{As!Nq6Lv_h#bqJf;ZPQXo<XWvGmmf&d0b}zZ@rW#my7*^Kis6>vui4
znxU4a59au;Lr>)UrsPj`!xxPzb#>r#hvw)?U~k6}zjN?`&mR9jKV|eeVlDwY<c9K`
zLf$3JCoV|z4Suc4z`T8HJZ$jZzE?A(@QNkHCIdXj%~`h-K5e5WOAXs`g~SopCpdC0
zFp$Be4xep_>l1~=AB@(6aeY!=_#|=tBl+pVu_bsiC~y~X{UfC|>hd(KBGELG3x{4V
zQyPa`U8zfm>nUW02@b=s5A_k&dobtu*RuWaH9x2MbXeuSWM>Z?n(zHE5q>IX`}iH~
z?p%5$1+KF<X=#P$V_QbTVI#AsjMuPj*w*t~@X6EELiO+$|D6suVRs{!FU9cURfk;>
zaC_;pOCj78e(6;pe0xlvH51m_S!){#pQ{`%NQXm&>kkCLZ#HF3W8j-2e`|^D?a=C*
zxearAZ+ZB^C-Mc;uETeKAKM=U|MYry^cwuo_-Myf*f?CR*d8{F&{rVx;DE)`ws7({
z^;IG_s$yX>hb^si+lcM`@ovjCfjyR#uY17HyJQ5<!Y=u8OGMsNwOof^if?!$Et*H<
z*L7uG#9^mgCQToh<HhEt2y9|NLE;9RCvx>3g`4&+cN2ZLx(PczIAQf`gcICdAh3@a
zPKzuOAo>@y*B<SMX(H0b9AH}`X?;rA|GrVE3+&=S_iZQqpiEZE4qn?OQvLTP{(Y*9
z)Q+&zJcY(4d^2t1l_mUGQ~l38tlyhqOY{@-jz-PGT=F*$n8Ui4)h|rIhresg5dDX-
zLW^JF`6$86b1>hkPWxy0zmO$&6L@gsr0FO4xm6FZ9xOUxD*6$w%1>M~faMZY8#`g2
zde3JX@cFm5-Cx74jz4sW{@~&bl6u%E`3;#G{DkM>rwTZI*{7fA2klFDDucz$^lmG{
zPah34J%M)!6bcdj73$HvNAR_0A>ZWTta&M+82E{{+j$}n4pw?~8~*xUfmQ)7aQdsQ
z0ZVb8x?~E|Mt-i-f|>F>Ds14HwOM9S*ndoW(-k%`e-$YXuZu*f5aUC$ug2;ayjb$*
z0P*=pq{Va!!5^+j+7aV1YW7+H7cBahnt~YLGUghy2jNg%HT}D=ilj^<D?EGt`Js5Y
zb|<wc2b|9S^D^=M8({i6vKwwIf3YVEE=+u;wHN+HwPc<LSG|wpp@yHQ=?N9UO8Mpq
zw6K(QoZkz$pH0@89Nr%=uU-M~H=!7$gvrVUlj~vLo!^Q{;2jnbjtwwF_A?GLSc|f)
zv>nb04_Vo~f%_veoT2YvnP5%3e=v)w^#|g5sZ2J9^lw<3r95i@zPUN|bRD+KU!5I=
z|1&JRu>=>bs@9FeUv>xlT7i%JiK3i^UuK_e`3XmU{5&`hE7ej<{s%iLv-7UPWfQtp
zL-4cL>#2X?&ue>*jKJ*UrzglUA7=L!4d=iDzU!{+uz{tyW-jbCpi)I#4^4J^`X?1O
zr%5ssfDdYs+)jqKJeBAV!M=VPCnMo2M}td`z<M9^+rwb{0%1okI4MvkD-d41t8$X)
zvt+yw4S;3Tm*!Yt(%JKr-te;<<n_e+3v@N4dBP@M&pjF8x_U?VOYqZ;dc^~9lye`6
z6I^lF@%L`H_0P3W7vP`U?(KVFF_)iCR<M;FQ{XQ6P<oR5dDuUeO@|id@1yB9f(?%~
z>>$>Ip2uZ*+OT<kLoWrqSy|Mf25aS!%dKI5Q4gCuJOiIKBiX$U^F6%KEDL|XqTo9X
zKV+p(KMwbqA6J`$`8(4DCE!lY-mP!2>km~jLAWTqsdEbUzc7%*4|5e;hm62?*dkmG
z!3(D}4Zp%{<}81?;4k;5C<o!~%D27DaJJw3!6BHw-o}9mrrGBZ(*wV+-X}{Bx1Le8
z>W2#*bgZdiY8mggW_Yo3#|bjHCrdA_4X(AwZ6kq8w<on;!&5rund?C~KB%nYcms3R
zl8OF?M|5<1s$o%`YKs5h%=3qG>R>a@w%Td<ZAVW-4qRLvk}wW8&1J?D>!IDQ#fo8g
zXF>HwGJJ0Rd2~O_Lvr(78qBeItmGr?H<T=S3oe!a74a5sa4;sn1Iz7s!Q2MRoEWPP
zfqPcH7hc0D4C%Lt^{^;fF1Q{pW<Mk!2%m|3Bm5k;osIrV^y$+Q8VcdF^m~)9!KPU~
zN~ti35CbK#{`HI$4kW?f^b%`{{EeGSQ4GxJc_NzF-i<37@^|1zo#hHw;rJ)Jn8M&G
zdBeTL{FLDFGcOqC?eA)Fhda&|1zm%$-E&Uyf~otH_xQn17bi6?!EWltKRn=1f&Ofl
z;koRy{%&wk*ix50oKW4wcLBC<ruQWJBzLN+EaAW3!w=iS-U^GdYA{I&Ln@JfG+Zgr
zfU735zY*_ux6Il^78dopA4>fDhCQuYPs6{Y`MZeu^Rxl|gOfzw{xFO9`A@s=rjdqa
z{))~K``bLKdR!dd$COt~%%|k!Rl3Jv$NCeLsqiNgD?VZPgH6FFVm>`4VUZ*Xy9Y?~
zJc5fF{$ApTU7kH#ehlZWZwwxT%}&b77s34vsn2=g@udR#64=uuiQ@>&z9?f}1uL5h
zu5iI(QcsW7!Z&n}+8%;yo}Th;g6B)M=o#VKx?Rj~;b8;iKqlC%F2k-Ho(=w0v=oT_
zx5xGB7@S}Fg>4nqSS4%x0dHP5%o>AJ1D3@8gU=*M(|v<gXk!BZz#JPT6GQOrTLapg
za9>cW{s<g%$MYT;=7W=*yN(XPa*0*W#Qb1Qx{y2wCs7$y5c7}HkhyC&T$Y{|PRu`p
zY-fggVVh9NZeo5rC7fUK9-e;a^N^U|q&~!OcEPio`+gGh>t5Eyl{R?ri9tOve|j_b
z+jhWWUJF#B@aqQ>r<&mKJi*W6aM%V@UJHEk`&(Y(cvrUCBk&bGm%DRS4&I?CWlHoj
zt>mM12uIu&se|3y{4Dh0>;D<iG{XDo%a(26^6ISdYWN@5T$4TA*k*i;$cH8xas%O2
zn^e*oIIH@P&rNu`++~D#zw7TscgMq`eUHmt!p0i^<LJKQx%&P%fRlz1LQ=>`p|X>e
z$Shf*osnIM%zP6vLdljrGef8-D`XZ~WhJu|8Hqwx`n}HY&*$UyzUR)*z2}^JmGw|0
zJWA~zO4cX)BiSW`<oWrQFJNJoE;aJLDWfhxiL}SAPB&Nrk54~iD}wiKSIjSmOHESz
zNPS21r=?n$zqbBT0eoQZ)}{t{>1L`lssHm%<uZAHq-<P8{{%K`brK`*kGkd)C!WHZ
zoATaFz*Cots&nARg1#6s{%B-L7bf+8tX)Ru;a{c2RGDyP;-jKJFjI57LpE&q_UONV
zu-4<J$5Y{}_pIADV0@Do7s^NK_pqm0vA}&=vF*`t$N3+d$@`&a|M?w_gJ1Rs>hr=Y
zly_Mo;NYYAd&u~SHpt%lAv`3ZX(t40>s&h*3@>uqD2T!#QfC`N;nDz_Kr$YCE3TPv
z52m9KxJbrpa{o!uJb)EGHDoHoW>5Hsec`6T5f?R>LXSz?AHH$Gt415%UbVL84lGs{
z8-5BNd_5NC4Qu`<Gk6~Ev1+w)gOwt5@-M-)Z(eq}!|io5OXehZ{Ljk{4s>UZBjZhT
z591ko_|(zjuMY5kKC<;!VdjCFVrQ6Zic8`;$r&vu$oQ3J|H2kaSWfmv#~t|1&psDx
zcy@@1^B(MDm8W?brh3Re9SEO!5L#vii#(~6j)eQ=3_~x$SElQ>M8j2;ihqq@dRJ=$
z@_vafYfI-@_`0$UA9=sD;y-!p0(@VQ@kS0z^EiKpK1?0GP4Nj#IUaiVG@Q2SMPM;J
z8$c_j4j+;(JWvj6+fO8&fVWDWxmgPf&Zask!CXu_>g0WtkJO#dDzKB!d^j23GyW7W
zk%wcyPnveXmXVD66yfVF;rSooq`Q?X(r|92p9h&QnDCFkA_uRr2se$w@1CkC9D+}V
zam9_nv`jot4#ON58o$oKAx`z)BCz}A7sYdMm3Zn;F}N+kh++jEY*B3356g+1>>%?K
zYv0)q3BmLOzc|SIs-jmfsQ1AE%L7we;2U+<zmodJP!V79zUntSMfo0B_6(Z=2OP3#
zK!DVDAAOz72PZ{c`@0+F3dyqLhlR5@94C2OYO0<h%(XdylMBvx;m@lK8$DHDBJI8V
z+f%9!Pe;_Xa=@1575C1-$J^77kovJz^DZO!{;%*cM)=I~UT1T7xYzD9GtA%IR&4`&
zsq6luf`6C!nmEAqU4pio;T`OvdAH!QkX5!Ncg&Zq^`5)~4>r8_TY=N2?nVcY`o@B%
zJ#c}HV`da=vvW+j3%*%aeSy4xa+cDFErCBMr^Lp>b#}oAUcjDN<62>G-mB4n`LNTS
zC{FTzD)p66L>?^5InWUZCkB3$Pl8#857?7>`7Qg~<6(_hyS?||9$h|NKlpO0dL+q(
z*F8S_z~?UbA1Arz7<Z5}9JcsmjBJk|lMk08yt!o}p1d#P_OVSigi{jyXhPs0Lw#Zw
z;aU5tN|Hw<Q2HN*Pw&iMCGG1EyX`yz&vlFxlJ?tA1le-IKgPm;knN9fVy57Pr+r>O
zdH^Q}(x3Tv8`s|!$>C_&J27>94Q}!`iX`h3w=84ogQ;mgrX<3FEQT39u%GU#!9)0L
zf==6WSdNnIavH2XMq&CC?q`tP9uH3zc#p)xfjggilblgV!6_E@<!?Gna_f@bH@9JR
zcAOx12j`=Ux8S{7wfK|Z%JX{*4Pjwh53|Scw#*f!i!hB!(2i92M^gAPQTWXRi`l2J
z6jNTlINW~OP`(VNpNRZW;)d(*vFg%y_?GWu%NOwSPuV9Uu)S=ITmf9Sd(v$bzMJs0
zH4kP?85HS<X%|w`GT;+j_x}#UuequYr@`udZqK^mj~oTG3Ghq~uh&Odl>U8EES#6j
zB-sIn$v-_F2&bLWe^2Up^FDnFfNRYZ{aRtC!KOklm{qmUfYhh3EGv7$e?sfGyoF;X
zzO%W)m9-aon&AuMoO#Z$^$C^0T6q03y_YSV*3x;t0Y1&I&SC?z1XXM$?>m`v`6~_K
zqnYhFq&_~}>eNN}fKRbeIlMHevZ4w1?kZiWhF>H-2-bkrw#OHg!0+j;q>sSP2ZA+8
zdvzyYG|Rwt%Gdvq_p9^4E*g9=S7Z4#k~jTr8{mPBhNHM%z&j&S{F&kHZI>&^`ULJ!
zuy2EZZ<M|99NxG5EOzA<p5NM<pZ=fk+AXvMKl0-aA-RKU+MRxQs`>02(*7ZBc9uTa
z^83Eqr2X(i_pM&Rmt(n$U&F%t7*@()zJv*DGXHy~Eb_k$*n!sl1Ie|rHh;^4^$lNe
zHNo?$nIW<8>+@SG+TfYq?W^(d30dVWz3}kaq4r2vX346Xy#Fmw)0U5hB{kD{zreL=
zUEcy=_miWQ<FJSHG5tW8ONfVd7LI3K=l6vjugiZV?}NEFUybyGgI?d-y9z(z+;hbf
zE(whM^%tJH64d1dAJ==Yuo?5=6brvR9N`J8wNGTeoPGSlq%*wd)e(X1aJJ!=YFqf>
z7VQP{e%LM7_MkmkzCB2Z8xEd-)ny8sj%N*$`FD=*+)5U3_0jM9h2ex(HLOOk1?}7)
zQMi|Gua5~V*D0YY1HWQ1Jg5h!|2Q&o6i%eBh%tcq)$RzX!?{M^j;X;iI__^ZVa}yv
z`Nv^v$(rq_;brROPCl5s+l$={USG?#=7m|zq}ndPl^095vA}g#D6g5onJo?(+u(AR
z;@#(93AUyGXkaPs$SG1kaO&mOEwJfE{JT)_tm4tn|Ng`Lv?-S@S>HJ&3YWidyjLra
z7QEOMps@(|ilonw_t$L6x`V%A+k2<d$o7w{8To&MB^G9mlKLSPVfIn@>-D%f6_}Z^
zc%~n=KWJ7>>Kk|8^XY?42Wg!Y;J9GMb06T-KiZBd!E5H<C)?qBeJ=Cl_*vgxjI4pH
zXy!smeR_M3KsC&>JxWCiR&q63D}k>_YB9;e`y-XZUcfB3X6nV@+rv#31#t6ZYQ!O!
zx~^y`4{p4wq<#=)Dn8Ph0e=zt$sz(Pn;bArgT=>!-|T}oFFZe-0N1WaMG3;YrW1^!
z;j1$CYiw}afPh3OZ0N(%%noM>?r98yD>fH+FvGl61@V6H-ZU*uRygE+zKAb8eEHk@
zR=9`m2$efrt$nA35$+ySh`9y#sPFLF0?#zG*f_%CetFuo@a-$z|8Br}rN<~Yz&6w7
zT~}bw6YtwL!oS{ot(n6)ZhsEX<M;66Df4?nctO#JihMsY{F~qMBAlzhQZfU-axIfJ
zfd4xacXtjJ^7+tu3XTgAl$n5k=31s{z@v-!=itfm?!HpTVV7&tW#oR(`CO)09KJY`
z#!K?KlFKJV;Tva#x=GGNJ;x~sSI8%&jlmnV8t)x|6TfW#N!BmA<@+akSX-iO?+Se0
zw^)4}?2;_$K=zMfNwj{&759@o?LM;qo@R@pf8p|)cl%ginb^^fGjN8REB@vX=Pw(7
z4-4Pm{<D=Aet*p<x(oisE2u0)>JMig_yAkcXDsl+$%(f*>)^fPd&Bm_OJCnw*T6b+
zNh)M{Z|C@JMR4N@h9Q2qU2ZPpDV*(aH=GMrOSy0>2M*r%(wNk93%{VxhH38~VBQ7$
zi2A*Zg~chopOAW;Bi~O(!?wP^OvwF4y-$}r6fQi@CQRz1o|F^?!4Vq+Mz+CUe{$dR
zgU_&M=ac;{4h-V-g-4lKP09U?Qq!=(8E(`*u}bP+n|EArgas^$3dsAwMy;d`79`)@
zbAkbO9NigX3R4*<tZjl%EqqZlfK38VMU(a>X{@?V!M;N;G^pTeRbdZhI5x6ml(cuU
zw}j~!oVA%fhJ1gMEIm!f3NKdGT9EH;){XRB+2E(Yte%nm`RsRmo)Z3Q$*^+|EaE$P
z5AUE~cMVy+BYCV;&!$QEWY45H$%C%=#*f2+`ikF3{yy7+?E@^`mZC{=7Y5EJ?Qo~|
z>^jMvN-e$K!d@fK-*LhrW4x@5Fl7Se9dduSPhSat3R{GVeIvQ*<{JJ2_@eghSdu#>
zX|<=o9R2;`<o9dr$!?JZA1~$mM)t>H+(afCJ{8dVjMTS;O0-784k;{_<o8>j{NJM>
zc+=}raq|1!7P|jk06g&OSnN8k=cE<K6fanxWyFFKxu3G0q$f<f#Jh7DIo0U|YFC&c
z_0?DMJkvDyOmc?ntJh+F!>`$!9Bkq9Wf2yOu*KZd%{DOe_V;Y$_Y<9<R%i&Pu+2Ut
z^~$r7su$sx;Rh|IV8MpQX-)VWv)o_uJnfIE^wxmQo;W@w{W+g_mh647*T9DY(*9LO
zc6mNHOnH+TX<yw?-M`-j<Ab0ABl7!;*mRAf4`x2xy^Z`nZQsqt)WNUJGF?bslfxxk
z0~a#B6(l*nOUTKC=UzJplU$IcQy~YYbBsJja!!s_<}_HWrhY5A9=jK$AE&_g^FLRw
zVg1q>m)&DwbsdJFfACO<)B6zEc;V*xA^0?PW@Z3cJ}O}^`JOE0sZ7{ySn4lL2I+sT
z=DAon!zEt(>`DKKN4I_10k-m#;UoQ{4Rc%DuECK8x<5&OOy`n~`4u=S=yKW<xI8^a
z+7z}ga<nUig}S%48pBNjKD^m5f4%0TbFe{b=#Lz@>{XG}8F<U7q|`_73H{%+I<P8x
z*7Xc{h3RstCakyVIX4*(2tGPJCjyU9<?E96{%jh&Bo2r8XC{*M9Y4t|b^vy8OuRz2
zx2cD3lPJ8WD0o91OqZnBCjhT1`?it(YeoGh6;e+{>CVvxx7JbZ<b%z3-54kR<BR(x
zYK7pCQC$wwpVF1riQWg-^{9-K=fxYd>o#Qhy4w=o<b1gP@lqtqPc!e+Ccl4<xkuXt
zVUd$8<K%vOb4%fO9$3?FV-W}Z0u#NYKDBD~AGyDlOP&zmgpc@4z9aWfrs8XBr2djv
zpC$R;;qhIYj$QD#m_~8(Jw)}szjCDh#nviMWq4L(nSm94x%T*^8mziM@D>~Vel#_P
zd|yFr<E_07K5ls5{1hBl#Z<}+7r*d+dLEuin>X1AKiGTngfSc*>)pH=E~itCvVz%<
z*e3sTM*n)lUQ_aY$L#%O>J7+aE^!q&z@?%MPk$q4YwT8Yg@br>I2K{k{Pz*$`;j_6
zk)Jbg0B?@54_s;c^1>X<cRMpL5Vp+;7oLRkUEN&C_gwe1cEwJ^X)3Pu<a@7z*FSB(
z!NG4e!eZgES2ugc;oi;12UB6Ut0!_tV7~2aIq7g~RonJaxW0b-VjkR*p76aNzJBpb
z4f#IikUp=$5Nz!+!cYRo-k9L;g>4h^K9#{Nu6E&laE(~5KrQ^SMcncO%-QSsyB<D~
zEH6juO^(_JlkatQxh&Cl!2SW!7e2y9yEcz@!RNdre}9J$I+VX`g;niVs;1!S)X~di
z`6nZ@zsUDOKWHCFlI2h4lvFXoZqZpZ-SE_&XXklfxrB{U1Mqpi??Joa?Pp9z$nhww
zXnU;y|K@Mp`UCz~{&)TeeCy1nFXZ@U_f3Xq!8v|67?$BShV6A4WceT4Z>_?A?^18m
zhXw2JWRmmgOed_W3%mc`zikt|sggVV9PH>2CBGGJeyG@R8uqhaU}AzJ8+c4C;c_ht
zg`F@*r(C2N{Bi9)%Wl|GkWJVL)|6H~winK~IcRDRhsRd4?uTu@ZCLe!WyKFGi@~<W
zOroAJ#h9OuG)$q>!WsjsKBO#EfOmiH)OZLBY_k2S1`j{*6U&D;HO+8n!}PNL7P)W(
zXT85J+*)w;*>l)5K)vWJEShimtq|^OU%Ph+X0sB!^BRtg^?6|iGsklkRl?_k&3P<g
z$-%$>8sN8U6I$0{bF-g^>fo1U?Im__-AIeqJGj05>{l0<r=+a-E&O3pxZDkv_O{pQ
zgDFf($Gl<o;B!7b@J6AeSN^cxZ5qyT_}Kb^iD3BEt4ZCju(ikT>Iisqd(6Z<oR?oP
z6$j6#Iqm)hKgq7zkOlMfMI>?1;COuD?n#Cdre9s<g0E?dK1qjPS6!wOg{i6U-${hc
zZr*PfhXc67CrQ1v$0bfVc-iNpv=1yxJFKM!pJ?q(y9<BpDUQ>IKiw(hya6j|Ec`tK
zpD%tKK%NgZ)vYIuVS!3P5py_+e&UNcd@hnJjvT*>%ypvI;Z18R-%h}6hdWJN;Y%C0
z-ByQR)yy;BfCt`Y&y(~2?{Du-l2g&Vxliu*Ss@GiNj|P8AV%(op&D&9&af=AP6N5V
z2A97(llHX&@@yDkVX<dh9pR=oeH8St7)4X{Rk%FW*zFIl_cGygd?eqsD~53a9-y@8
zA-PaQ+wEfbko!prUzj_bm+3hyRA^A-2H)~JQ<4t5^FBN21;6-LsPzaw?OgJgY_Cjo
z6L&oPq1dE})K3fwzKDVMs93m@^`&sA+zW%BcWpW00()uE7d?QFRBtV?faNC+_}_)k
z`sd!VhOItCarnS7Uvh;^V8b27Gj4F>ipr8H{PPXp-T&ab5z2WN;C)5P=N#as)t;M%
zFuQQcv>i;{-nsuY99!K}Z4H~>H(xjlA1FQHbs4TM*Jn_G<4x@hF2F}a`}>Z;dcm{b
z&%#jwok21%)6kAry6~a=bLWr1Y#);Jv|+Z-+H{BDch4sND8Rx;G}1`@{J#H!<zcZ<
z`7>hhY;n@%!*Etz5f7=im=jx+fR7qvb{>Gsv~MTwg*U$Qzeeh{X?IBMf#15h>=uNx
z9vXdQfhp|Ni-qCyS1Ofvz&jT%P)flPtW2*cV2dxe&B^}kzgniZ?u7dRjpYuKt2!KK
zYk~Kq+|AU0xd%7qH^Cf6mgkk==9vTh#qduf)^d`6i}+RX44&lqb)DoNWEl=8!uwJ^
z+em(R$4GM=EPUmhH_0pY=Tz>(^_H){kle|-wa*)#l8A~T`CqE8J5Dg&t~Upd!<2C)
ztPXJA=C~oUz3cwv-><^Ez4LNNz3SIAPir_L_qL%d%;A=$cNrGBd0#*tev}e9ZUnpc
zpZi3P=b6En^0Tng(&bFDzyIEPjOoEe;mfrAaF&%{*-7})*R^hPJZpqJbx*(nJKx;n
zf%P5z_b9<8uNn;a;1r6xr3$dEP{?L-f8m-5dLRwE^4@#D8;(&8<vk2rwd&kuh3P)U
z&I`ktEULOY;U`Nefd^stRq74fU`O-kV!Pp<=&=}5ud$(~ksZF2^7te@oYC79#{#>~
zhq03SM+$?YOz@11-rFtk##dt-Xkq1H$w*pw_tbjq7C6`Bx7r3cXdBIS3Rw2shi#kS
zzYJ=ztBx4o325FV_s__O`Zn`$#p%6Df8Y`Go0Pxc;~7K0XW-EAyIqqoJ6}=N96T+U
zf9*T`sKCZy0xnsvIQkiW>3Kwc8s;^g=p2HNs{fi9g&78xvU=f%)|F*rurJlYqunr%
zjpOwpIC}q)ZEbMHpp5iq_~y<$`6hU0adKh@+?rg)SPOR;npk(jZb#+iE8&6*uUl&2
zU3(1}U%~-0w`0ij$W~n7Ljiop{%+wD*iK9}GaEL(CgVn)Z&^YiHPP^m#y&$A_{2Wr
znIzaYP&mR7W?U2-3Ws;E*fNs-z=Zl7Z5+(~yiQde&iu8jjpPbp&kcp)A-ay0SeRim
zb;JR9=WePhl3!Mz&tZaF*9#^|zIaPxm;s))x~LioZ=meX`GNk<#S6>!WP2Rx4-QYl
zdn}GilKc_dwm<J-UG9O)B=7!gDbx<94{QC2gfCs#GTaEC?Hu4sfDh+g+)nym&Qn_D
zWPSf0t~FM`MQk6(QeYoD?X^-kIpDYl+263{p9N3h>(i|{8F1A>g|GQAf3f_rG?->(
zBsvog)~mXn1CM_ZYDt6H9fYXJ@pR_v@Qf!uo+C<*_lAeNieq5+svV7aaEp4SRVd8c
zvXQ$SUPwRw{yv;CYKQ-^0>AgK)4txYCdbI<Dmbr0xXcsIqItnU>hA>o$7Khr*K!@H
zfyX&Y4Qz;o3up34?(_b;Aj~RpsWuC)XTM)`5Z-pQ?>yO`Zb?BaGJf!TZneh|ruM6u
zCG&laAC^mRz>2cx)5&}t`@8s{EAVE@Ia_hq|G5O873@0a$3y0G_zb!hjo}}(>{F!u
z7nBachH$)eeiCV)=Wdat4jkq7R)W-rKRfqM6ApfR{u>XxASkIW1#><aRVDeR;4cG*
zVEf@4e@O1NbmyrMymn}+hO}46cj)*5IJw@%nT&@brQfsj!Jn^9E0Fo0!TtB2@xUF@
zE^}l)P;^YdZx`GwI$p684omsU!3NXI+S!r$oU<G6{$zw}eEMa`{7-aITM;#^bm8hL
zGGAsS<{Ur?k5#p^llgCH5v4c74(M-ReLi>(?#rf4_z2tAZF)@JS829XEw;fmM?O1T
zgWXxfo8Q11F+%dTaL}ClQY~z;fBPdtcr{+Xr2^jg>Vl049JWVm<s}^HBHy6{s|oFE
zD}?nF-Q)FOWfP&bT-coF;=g0CViR>oI;_I`ut^0T6Jxf11kWy0xF3OoRDR0E!}VHH
z>IyJ(A^p`T*s_f-PZ(y{Gb0}YTc1DTA_kA|qw0D9n^R^82*Ub0b+<iWM*hVLQg7Qa
z%zPW}nZ0DU53Xt4FLe%9IQ;GMAy}s1U-AWb|LolYvi^Zh>FSzr#^y|ACAdDwrBEBz
z(@_u8fbU*Y@>Pem+4L`x@7p6!uuPwTY2N?NJ`Lxae5zK0EqMProP&RU^b9BU8Xd>z
zufVYm3YLm+UG0fpa=hPdWoje!vn7*zo#5)BcaP*qE<QWs0;_#+a3b~L=OhFD;lh3U
zj?2JaPBN$O!~Z;%3Q0YG#-~T&@MGF+-$U^A;{!GiVUz!K&X9WPuRL4G`#^L51wnB*
zWIykFGQYs{I%VZBeE5Rpb@G1ahOT0p2%K`vLaG9mI5V9>+7qC9{Qe#M+VZZG5S$#8
znLy?f1dm@DAoaNqj!*Q!onbSD0<dGEauIpI^K@I1H>qdu@z<Gz@AM0v*$2<u^V<0X
zHWv8Ae*g|RQ(r``S2ZW&l|8U|?kf*6pO~2cQ<CJZuTrhZ{GNa9Rcb!isV!EF%-`Lr
z-}{NIulB~LcVs^I^u?Hb9@v)eeUvENA?vb()K4)vj*|HW!?!w>+hMKwv##X*i)7cP
z&|UC#<pgFOxMlk_GiG?;LEr$HKM-G5dq?VPJA@8gfU_Jklj&jmN4w@P!KO<__N0E+
z$~g2o9Qo^o3LTu#r*Yv1tfA__x($|+2$?7I1N_xB->Kn#_5Z5K{DAfbGd_}s9yH2M
zfRoi8FOqzIP2C|GZU~o)C+#o1c$-}fANuBGOWOZpT;xE;>q`3X4+z6rUk*Q&!t=<H
zx$2xGJXv#O><~;VsX}uSzQ}ErO2(U=OGgKk;Q;Y#*Sz6tjn@l~6K{O5DFWV3ciH<G
z+)x_aPR5`99j=q4Ui}!??j+b&+p6*iTzH#nJO%E)>cOu7-*PFGd<_5MvR;;gX=L)(
z$@o+!!oy4!=E+ddDuNU5m>rgY`+vypcnObd{D+x+yl-lGXI=%H-#G6;_J=d6UbqI1
z53~Iw3b*|@d%Fp~BfrOs7iOY8#@G(?tR0#l=lAz`r(rLAZ~0RQD?B;*bans^I5+W!
z4gPmVUEv#iEz2i~22NCD`!ETYqy=x@3inGFaQ}uw+)npxg!`^WOf10pt;Wh*V7spU
z((5qK(8&0bJ)W=6Cz`3y|8i*`KeY<`=KAd13Uh0+G<}1oe$(FE4*%obF7X|%iOj0w
zge~abyT5}^YW7VEz`J(!voyhU$7GYZVYRV<u^QO+^QzSz_)l51M>X8dd~p{$>@KEy
zsuaGrY3C?uPoU-8_zO7F$vKLwZ|n4?@&Y)zMA(E4F4X1Hdjjj2-D6^eS9Z4YWx`2+
z<olUmt2;FMsqp0P8AVF?ZEnThIQZ2>BF#qlUjA@JG<?SLcf~69|DsPsNGR;(ljKK^
z$42dneZg>>+%M@x_~bjgB|lg<Cx&tv?lnpb^@UF-PZrI>F@C4a++h*p2Oi{jZyNDg
zz6Jjb9T1&@FE~vm+rYQDnCeLV8J)dSS7B*K6PNGsY*{b08T|d&Zv|4{Xt*QQ1h#pv
zIQIqq<La)a2S4_>c$d^)OsE~ufyKo#q()$K$Ac>e;4PJV_(^|Qx2V@l80HTfaw6NG
zXY6s9AO4YX`Y74{$pyh=LHO+Cwg=?+wB}z?VTZ$m=XaC-deE0`PdMR!CeLli@ooL|
zk#7rpTX*&iIsSefG8G%)2_aE8k_Sq#ejK@h{_)!HD`b2TkeYpL6n>LY{&FAeFDcG4
z0Q*MLd6Dr;=2GqLA-FI9Ln|3CzNkO0(+g|z@y3wx(4V1?FZ<x>!tY<nc$Ind{QVCw
z{S(OoGTypjFfrE!ujH<+s>30n7WJ)gv#@#t8NX4VofqnWsZtnN^kISKYyaND?vKw5
zknwcM*s}FIcykcf0VB90!bYwh7T`4hO~&g^n^w{q;SG*LN>|`<F9E4wxOnknpeKA*
zE-g6}j<}Wk(H|ZRGf?q{&up2$76kK+H|P1nB5ZF;AHprQyFK0Ehw<ayG4Qh8!!b{|
zlCz>c1@`j!QtArl^7qB2!Rb*Q_es63wU=ZO{6&Dx&;@p2PWt--?g<I0C-px&>@}<4
z@$((g_VB|E54P99;h(FmN&R$%#MAe%;(--eJGeST^Hvx9OVcrp)JNavelq}Dwq!eB
zg@1fG95xKks&Eh5z+9(jhsI&<HQhoBcwUq%dlLShspv)OE7jj9ufh)puIQV=WpDcE
z*5NjW&*h|E*P-CTW?IZQr22FpgA-dmsc(lBx9+r6Aj>CFEYra}FLjy3VAfrK0-50F
zsSl1Fgnyrt|49LN{%-in34dne@h0ubIbL^XhqL??50Uk8t)=s9g>P0fH&7wxUDGS2
zfnVv0x{~di*qkgfZ-?j0dh2_Ve^ENyI0tjZjQNsWu{?*N8x}n!l1<vLiyOPy3#;v6
zUtoY+@2|5r!6xOo{$%?vZ<6tS2OIB-?c#*9gcZ)z!=b!}N!)P3`pwElc;c7FlmMJ!
z{9kA_Y~f8;d;s3*_w-K<%+jz-c?d4#%x@}(JNrtT55v*1U&Slo!O-lT3UIsi0M$!)
z<bcIz{9|gz&hFCcBK5AFN*;P}o|Sx75qyI2ui9z&!$`r+QdmOk(`O6#@ROJm&)^=x
zhq>19>de+%q&?OZd-ea|OENQ)1+c&Ce#YByy^2)@X^(esQ{DrZiSAhN6ZrD#E2j`R
z$<}>=)c>cIR}&4JU)Ot+4NuRS1jfPqQ_V4?zNlTEKNqgGj=h=*&u*Wcc>*u`cE2a}
zX=y|9FW?pF<n&aS*)DWbDSS8Q6J0tiVCQM@8lHNXJeUACR10y|!EY~pQcH$aB{;9W
zgM&Te*kWKt+P4yI@JIvGcT)fSV0POOtZUU&_7GOg(2MyD*Nko2L+ULIl)g>CUR9;P
zLt$3^iTr7}@VcWA$+fCVVm8sCzfaAvPICSKOfFNyh5@tN9>dYW@iv!WPhoS#LfE)z
zJncOExu|rKTn~OO^Cs!=*-oWhEpU&JWK1gTX!yx+7^X1g-#iLW*&Y%32rJ$B+4c>N
zyHQ|G^35$irR(sz$|hNo4`gb3Q*OoeYvA+f6YMD|&`twyHtBNggq<J$h}jCO*PrSq
z*K<Zx)3@y~&*tPOZE)G`-~u+d^z|;*_wcQsSJ${ny{y?7xxOD?I@quW7S|ZmA=|sC
zM9p##wq4@kX@FHE-}DQ^IYtTh-oV_!8T+N+5S33CUc+}cnf{W2+13qeYvErV3dfY-
z6!wtF3fQiFiCPtQIIv}nT;I0zy=S%HXb<^Tay_nuhj8n{Prno&E`x)VZEerNH?Du%
z{2Uh2-XnDpZss?-Q4F85r@U(hbB*6SmJk1>DAuxsOBeq=Cg-CxIx^lCPW-{|M$VT*
zzKXd$?4Y0YB^R!F!T0Pxc<@ej5xL&H_21vR4bR9P=FEa^TA#h~g@=>$e~{}<eAY0`
zAKsJy=FB7b+2GNk5IExa2!A~6?mw0l4pTol9hwM7kG+|XgBRSdT#kY*S?wwl;TWlb
zx8(X_`>sou2`?R;iVK6kCjRcsh8wkvH$=h`U%Gjp!f}CDIv>ERoUW74;lP<sM?y$_
z*9DmhxXEl}YXF=bwM0<`f9BA4xetrJ?$>FATTJ!XZo{Lc+eY5OwJ)mgc)+ji7lgau
z5{+lPH{kc0T-AN>Z5hr$2bd~+BmEcHbbe;-5<H@vYc&Z+))`nD!yHE<i+{nQBC3_U
zVW#z#*L3vwy-oi)%>n20d~&3MpBd*aZiNjdQ>kd+AE}lhv~YxI-U|vi(?h|83U*+p
z_9XQY_tzIG;0;OJ#8%P%e@q|WEZbuI^zq8lUzl+`(c}+&JoZNJ0(^koRcsa(*jwkg
z1P@qmy*vdc+-&I?hYtrfP!7T>mKN4O;4AC4;vZqbe5-c@aN!TF4e#L<#=OX3cxj10
zz75vhovYRhKZx9H^9Ii8n4teemcR0CLj!EeF<$*1K3>q!SqZCh@3}{gXQ@_>O$BU~
zy<4sYo<15VUkrDz8f<7M&UEa023yu>7nAcd-G1n1I_!HhUzOBPRq!!9f`1riEY`s_
z^HjreaB_8P6{*+AUAh?qdw#36C+EA=ymaS%n5&4IvL04QDt_t@kFTygC)bBtsDu80
z@Z>Qul^Xb;mdm6IocDx#p%fPQPc+CHX1J>AN7~CRliO<vH~kTlehCll{?%|64nC;%
zhO}oky3zPFtUV}ls|bF!CgUguYYFW(CGGdRT%r|$Q=d_=l)*P8leL-Pq3nDKvV9#{
zt=|~n%N#*pNqZ}6b@FZ3aXqvyOp@a_O3%>!4wlGkN+ieQ=)kk@*{~|3r7t=DwvXt%
zGvT$@5{Ey)>>2kTdc%z@H#kP%^4-6M?!YhNq*}@OliReKd=-A8waiEIFO_!E)^K6}
zt8S7nF*3WIgeB#Mf0OIot2To91pKcgDU+-(tmn>M3Ai|dVU6TR-qP+CgUfa`<&%8k
zY@i7XoOI6f-8VQ<dC$@|IJ)(a#~}Ro?)=qN8_Ykn>vxiTvM_qXGQ6m>(U0WqMQ_t5
z;oyKmmQi?zxug7dIP!pT18JX!mX7{2Jgt=<MC$u|$})%G8R3fx-S8ofN%ao6%5$oP
z)T``F9d3nh`$l<^<Ks5n>QxQvYwn=`2#?x6*i{LCaH^~#*W(V)m*oX;&U0aH(q5nM
zZG$K9()#;#a{T!^(&v-lmSXW>(w@>q```q4W^boLGhDiFqwzy{+HY-BD=c-Zdodj5
zmP{-m=X=-7peych-2H!BNj`nz3Z)zDp_EWX@=J$Voh;zLH2o|jzw03W$qG(SRW>8r
z^D?kuS{deTzNSWw&#G{bff_u2q&IR3zGu`tF9myE@8F$-f5-M-l7$zpDcCQ=JR_Py
z5^z|hl=K?>#_oKiB<wGe>9-O0o6naHOY*}PP6V^i!f`$d34-t+wZEp!u&-dY4KI9v
z{)ZqdY@Js4fe+U7Fml}uzxQNG=Y-9gPAc%gBbpqv+%VOXiXcI_(b(-18~o2b%itiq
z>glb-4)cFtOFIOcP)UBFgA>1h6_tfOE2K3TVC&{{o=Wf^p$EIR!2OJJYO1h=Oo$f^
zENqb<sRi#C89228zAX}bQ5UvW7%tfe>n>2_oP!PNL}=@;;r?EEJj)(d`LfHQ5mtIz
zKmQ*rwbPra6h7~F)W;Lf^}qUGIeeA#Rfj+Pa%<hrC$Ma(pm7k%nIGRNfam%jKY0j$
z+Ssm}4G)iAbc%rsjEY|7z`Nc0Yf@lA|8D;@`1R%o_tM}V@v<Ko@O{Ruy}58qSWjgV
zJi=3!ln---mhDZ2B@^YQU%)(jKg`F%auVO3m%?r?#g`J`-8|NmHSo)0Zx23%-^($+
zt%E;*&54MH<rBhpw7_S^O3gyyWI5@<HduQwt|=UjrY}F(3(sxOhzo=ti5vaugP$AU
zr3i+FT}O_6fqh%<clg2m+}>Nh!E{%zO5cO$dpDl_0aMXm+u{wM*p$vW3u~{Pu=9m~
ziVD~)!B#!03hwZ?&$Z&Ku>DTHOiy^vo#S3q3>a@8U{te*o6g>(r-93;Ci5KOVz0GJ
zOz`6%{|X&=)v{Ec8(wQVvqul^yQcC$0QOLMCN2ys%H-J`hV#EV$BM!mcOEG}3ZFPz
z)5{Edr%rXAfE#zXE3m>eN_Y0?!4G}54Q+<MN~;#0g=_oXsM5epmVJMXVVWqNuPaya
zJe7?Iw1E43Hfa8ZZGH>(U5E7;U$Za5x@_JlH{eiRC+{WrmCDW;S9pO*NN*0NowhA@
zgJUv=N`Axi4>nQx!efaM0n>0}$@wNf_@}q(%nWSaG|LtO@90Pk9)VY*LNX%ZI8EL8
zFR+57;O_+3UHhv<BOEDybZa)8P;;!M4&Hw-r7{_Ih#yUO1*={B<ogIN{-}Dm9JY#(
zI~)h+^xp5vgS}SMYe@ZC!Y|t#`0#m3r)YR(^us_T%&F$xK=Lz_YB$5-t4}`NB>Ar~
zj&HZ&zgwi6NS^T|RnrsBo*7{y+rySLb>9@0)D#hW4tIE2&zi%gzxqAP;WibTbw$|E
zbI$NBeC+-$3uSl@MMho+d^YCtrS>Zr->Rn4{Dqshb1t;NLVE|w=i%-2hs{gis(GfZ
zB-d?SSu2JEhczlmzU)q8lLE)@He?_<l~>=!BshpAteWIBmn6EP;N!tEet+N-f?Mn&
zVcyznQa|C7!lhgN;6twqYDhi3_rok7n45jbaT=C>qpao(&jc~8&%vIL_=g?fMLLDT
z37GG?N5M6?@Z@`EQXjp|>ckZ|n|f{ESNPTaN;XqCCnj)e3^rWKeP#^DJuFHbf@yiE
zywAboPDjl?!>#8R*w4Uig%&J*@Mck+Np09-c;aI}JT0zvR}<E{$QalOm%U6jP=!T4
zh3fXemA>&mlwg*JMHFo?Ps#i%Iau97w2>U|V>%0GWndwE=S$9q_r{!s{qPBD`3<C=
zb<eX<0oaNEQc(k(>s|7f3BI<FNJa7;Uz%bVVIJ<%Vv@h5aF(Kk7XsWA-@*Cg!5!<?
z=->86%+|tQCl243g_DX^Z<F;6zc@=X1JmxmDD)cseSS527`}RY^(ASqRco*EAgsj7
zaHSHC+_wGc8<=|da|y}MA3uJw0ZzI*`~O_9QK+;KPOnHUCHa`*HT`^elWpErvb>Ua
zeZqA(C1Ca(IX-<>c9b_@p30wD<oMgK)7-cK|LW&jB<Cke=L*d^IP3yvHp%N0-esSF
zR~`w7lk*wLDz2;!tE%n!Le9r_DKjQTxXF(9|MkCnTJq#!6Fv6xWPPJoL{5sp425+6
zufGzO`t=}uxr8#3oWI0Z2laQrdEu>}NqcqzkEdB+p{(i%k}u5Y?*C(j?{R!p{=dCV
z7y9bvVcS5l|L>1!bYOc2JS(gyO16)titkz*Y{9@kLfT_`;?Y|QTaR0bkX(|D*YPE+
z+NCi}a_V~f;Z!(&m$fj-3mv)KlHmnr^&ygfeWSB83>IyUw<g!8-e0PsU^r;v=1y{b
z4s~$&_`|Nv?1Q9Uv!k2yE^M-YA((8xt-;KcJDhXzp*}etA2{><-C*|R>;J!=f^{3u
zIKho>Ti%lE^M<eP13UO_Xz_k>eMIfKe$g7XI-xN`t|#hXsRavowQ6??xxaMw8`K-Y
zlyCFR$@zYwH@|!yHV)QrcmhvtWo^<UZXLK^2<x0piaQB^s@F`6hTqB6Ur~V__q1Oo
z_sd;k*0S<2<xfc`FSzIEL+Zn@;<abe<bJL*BFeZQ&K^$6y8yopyE4QJe^g_#H-xnX
z)V{I8cW1^&C15AF`^5}!qoV#}^8C6(m0hs`p5<WS+zKl%F9xn!;`%@DJi-8<bUG99
z6V|)JeVROv<LRE6euo9ZTz7tl({2g14Z%P2&-ORMZ~ufP^}+$4vQnDhP)6&_cd&lc
zewI{tuUM~hJ?x!t-%I)@VcO3>m&4%!qVeAFl)=GgMR0kBo$+0`+~SAN6Sy<o$=(J&
z^6<KTCagA`Cus*;YiaCFhHZ+o)z84pnQgzL;lm7lwC73v#>R$F*uCr>ry|VcuNQR>
zej>g&Li&4c9l2uua5YtYIOz`-Y>=k71DCf{pOJ@$r52>z;C2nF64IYE>At(!3BG=k
z@3shBQhe&D9UQc5IzalTgVm#3t>G?l_f*n9?ef%pYypqD?9$r_v&xOS8o^ZmL|8ds
z=2`=mOE9f(a|7xBItqXPVgUa$?7vU?zfPV;o_g>qkBb~V{3q_0_DQ&1(|er}UMjji
zaU8DK-Bq{+{;m*xPZs8VwpW_edknGdm4=u5%f?CnyJAaw1TXAc`Q#AEeI_o7aKi$N
zN57I>uWw5d4a}oXFGh0RzezG%;MAb_5t0uj9Hgdz-)!~CAnW^ZuQC0v1^!+s5`VXf
z{(e#KX{SZ_n#JtS4annz=NabV?FZeO$oQZ;$aiQO{-<?5`2XXB=r-2x@UtT888W`u
zNM-tM1inds?D-75<=j^9A=op&!E6l9a7sDV3m-Ti$3Fpwgy~Lq!KY<*_mc5uq|s<a
zD?EK@I-ZPQj8tOJy@O>=+iCX0?XQId>f!QK8O9;l`Nmjn4J=AoR!zn~=aX(nl*4Js
zp1x%K*1KI!q!gA{{ClVami*oR_bHqrT=j>H&+Z?Jj4Obx7>+z9<1>@m{a3T$GVMP$
zWPBCyZf;{H{M62ovjHBWz2B7tFR$+(c>{M3oUu=U`7Wo2Rl`LsKNKIr#!6>T*TOE=
z)&1dc^_SL-<?!&9^Lc^r>~{CJuV8B%k>mH^2a9w66~kt)-t6#(OKv5|m%xSJ)1G_6
z!3m5%3gDxY@;<Kcvm3=vpTXM0oLnyOoA>;tIq=Q!k{`D4_r=D&Phch8#QQd|a-4K`
zI!yOm`ho>)#Ml{|1&7J-E||jWb4nV?@L$c!`in4o*~hJqVA+Jc%jaRL0kz6l_>{>B
zF+G@PzSk=OKA0eOMGLNFDfk=+r?zxRtHDd=a+$$o`LgCtWw`8e`WZjiG{GkQ2)syn
zaMwLJ{nRx@S(sWeqUjFoKT5|a0qcmf2K&H@Q`?UV!^VEYKOEqYsj?mX@S8%zXU_1y
zqxH}E;HJiE)9dh#pI3c2VP$2ReK%k(+FM-ga9Uhkw-x-?hI@t?K4?WBcNJz=)Zk};
zXJ_6mpNIcr_`R?h&igG}c?rJTNFT8gX5JTLYXFz1mzw@H$M-dE6yj%L%{RS&SKyb^
zmp*I57nXclf5WMfuQN`;&Pv%==imV~_A@77V?G1fNqF$6+fGe*P13!49KJ91;jJ><
z{6;Wy1kSo89Ha(MJUXj11lK<Cl|Kq6f1_gRh4H_2{8NNw?n&i$!C~bhPo?30_pk1)
z@K~molN>xf&avwq{PRL5p9Jjkg7@AFm`nSqEy=H$neQ!vw{H8lo8*In*%G0!A^V;g
z(msF7x#)1%p!4HVvi*-*y;Mx#!PB23$?^HD&y#HmyKYYzHHY7n$*3E^SHoMblH)tu
z(Uo%s{?z}VjGRA>LDQYbV1?VI8{A;4ra!lp;iFgG^vU_Y-4yU6$_&rHhc{x#e1}x@
zp}<Jk?rh|7@_VV7*ciBGivG*Qp`(j%QZ)CEb(l^_Ab1^~ja1OQ32VHwU6R24t9<d?
zcPF_0rRC!Tut~)!e@l4ve3p<H?404iXAVo*CJYF`g6cCe9I)cWHG36!asFAtZrEIo
zxkeLab-PGS4NIp?Z$1srudvzB!b*EKoil`aMl*ZoFJr#^Zf&9kJbTzk?hpJdcX0YT
zEa2Ud^%>5k^^|ad-(`B!e1-3HCir;3bf-VLw85{$xZnE0byvh$THso)byt%Ap1yPE
zCEPw{R7vtZ>Yq7_VW)30wj_^D-FH73#vds>C;3T*aQ;L%R6xs&<SSPh>x1EF_ZQ!M
zV8aj}(+BWk@%<<_c${W^-5vJz{Ib&vUM&7E(G6Z5E_&+<yL!#ZUWXaD)-*|bGS8iQ
zufmTXH?KOw?X45emtgrz8}5+yj`=$=Uw}6-wuv~xV#i-h3d0UgJ4?y>#W^^%#b9GS
z1L_BGS94_m3tZ@{#1IWv%$V(Cf?ud^s0xPfd*|0~fS+f4J{Acp30=HQ0aJ&j%m%_k
zjA?)8OfX+;Zs!yRTPdAQ_zCZH-OqOqo^?r(`3!eek7tthv_;PK48db-DQC#>3LTSH
zZh|jKrNoiEW%TcGBb;&9K!fB(E?t_>;6s9<!6g4wk}**L*9Q#Clbq{CpMNTR>Vr`=
z*&bfcXM2-j%S&`O$o>ldP7!v4^;$O^CfjG}5%A6x{!cphYXEHTDJyLTo1We#Nb;B3
z2fIyRs*a*wlCv8dGOEDiXEqH)z?ou~@{hs4n$sVU^||IQ=rh2l5>h`T!8<Bw=IG$G
z8Y!PBc;Tt1;i56-i&fX^N&azj(#mgG(LKbO<iCD}#e5_AC4<Fyc%c2|;Zc~Q@=GRJ
zpTD!%#sQf3d6gBZ@5Yx+_3+V&{mRO4aZ?jTCA{n0pABkore;+C3%EQofJq4cd{-p5
z04~|1^MUlgc$2sLWy6P*x<^>yvMt31sj%_f!$+jQg@5$=R}wrhy<Kk`{MyozFB5)z
z`fM0Id`~L2I27L6U0Xq(xBc`6zW3nLC|7s#yry4SU-N{y3opoJz;)HN?_A*%w>Gbm
z=bzUZ-fVl=d%=>1yq~(MIpuN{=J`z590s3WvD$78r)PQIBG0Qc8RDZRaL_2X+ymH%
z<GHsHyniZeg51CCZh4$K3me`N&Lz*gN2MEn8o(TNi5EQJ#^$z4EjTevlHCj5{o%af
zN!UXqt;rQOj@@@q1=ch<97yhuJ=Vod$Kcb#k7OO;Sbc443HW7vc{!=qdpx>H4Bi&W
zca1#n`dbRS1mT?aoCBo(>EuZ#e)teA(<gF2wytAS=7zarBjU;PQa`6;gcBavzNBFR
zAD3X)-U2hsm_HzStYQ7sM%c)sL5}1)`DgDh8e#rpI=zClH(*39I1f{2ZLl$gExftS
zdtn{su<QR{UUG=C8(wUj;2_IqeK_dt3a^D;91egF%5KA-yI?-(YGw#|{#Qp)Q1ZjB
zA0M|T!6K5IQu*NdE#sb1u<QEyPn%&qoo>%m_+sj{TN~kXw-`i7|71@7kk5!A_K!8~
zM<zUwdYX3#=GohwNZR9?{?nKTTl`7xC+`alLq)7|;ENSafsf&w+H@8J*d&=Tpa~u|
z{`>qC-1JCDioCD6?0E71K3HR4K+$_xDXdYD5AIz^G$ZwPy`LlL;j91cctrB=a_0}x
z!S#lMr$|nD`UT}inDa*xV+$O0N9++Lthv3Qst(?z6LMqa66OaMxI7!-S|tX?CHSw2
zurPVwRNioXa2DPa88`hJzUe*ZJ_C;_W+jxuU&~Kvj>GEp^p`5&*Y7L?zrb|sd&+WQ
z+goqX_rv<H?*5k#j|ff0^uYJUqIweH4?22Q?Qo^wTvQ5No#CC?3|sWB{U*PUWw|M*
zIyjuhpeP(xI<&v23NHI~fyo<gIU4O<0*@HycKE`2A3wi-4oCVt5pjZr&gqBd!Bv8P
zez?Hhk$G)dFm=GZrX{>3fIBG#ma~?ny8^e)y_Zjdy*5jgo50EO>U7btfXvNXX7D<7
z$;oh->YPol9xTo;x+@T_tj&x*4cG4fQ5pcBRZdpZf>YKk1H9mXf1Mk3Vam6H0-o^R
z+U6p4IOtT`!cDlXW7Saut{A-<<qX^O%<?M1%e-IBZQ)3%-Jez9U+zz-Y+&g-+ro~(
z6ZQu`n8O2NGP(-z<H$7!Q#jz&{`JG~wxKx&133NQb$3#KE}*&K6ihdI@!%o2eNfdy
z1NKjKnI!dHI(v2>hu7oH;)G!v;~nKP@EhI-Y^46znbiwYF!c$S#sly}E3*b3*k&k_
zisaYR^(?ty(OquON#1)}e#16+;-Z_F7%aQ<P#Qgazs6`-0M>FyW9_<#@6l}=dq{ut
zlH{`&@8M48R6nvkww3=LWWl-d;p=K}^9Ej_47lCiBA?X1VD5h#1xG1P9U#Z2Vu<Q$
zB;2M{(MS55J##Ew9&oeDI4j9Lsg66}hG#Ao)svjgELGVV7PGPNCGA-r`S`^Fe%v4;
zLDnyGO5)iy_=Z6LEa~qao3qoq0v~HgPZ5QUUNv!>!V&*z8k7F)wtaN3jp3>b%=Bdc
zk8!^?JO#_NoDL-QF$^?+wc(h)ow8*AMJ+1g6yd1XCtnJ|2S3rt9fhS==q&fb)Fl?w
zQt%_EWIj@#HDC7l5S%q@^nnYW2w-s)g3~Id!gyhUU|Y5W@HY1x#a(bu&zo<1;LKQw
zbq+W`o!_4a_D-C6!UDIad!OD#a#|;w9k9I2xA`6Lf}Sut1Kc%ptd0?W&XoUg8{B;|
z$DAH^PP7c5h9^okNo<Cj^GDR^;9LEUAE;m|_n7$&FvGw0)U^w^pAOL%ZG!htDk-hN
znX|Q~fARf{N_`6BZ&)%@l7|BM_{|+pXJPY|@wPw6gSNPMPQc+5XM$JYm)^5n<M7eA
z&GNtCskgd6hT*Mqb}RF66m3WFAbhNqD`y%up%ydjfuG*=vHl7BGrd^rgsq~*c8tT5
z4Xp24;M?J$T@!Ffbc#(gTrq#d_cI(uNhwzcyDCL1eT8%4LO;ERRlgsb?T2+L<{p>9
znf}oQLvTO4pGFBx>7Z!T10VQ3&h`|hHx1+HgZbILO7r3M5b5R)m@jA4KMOAE@V(aw
zYlm>ZeFUFlX!}+R(?$A6$HT7zw`VlK5_$)uV_~QG68%azXKTc!aM=IK^0wEoNQ7Kg
z2;5&0UtI#5Z%lU%fFJeudX&R1S^r-6z=9S#`g36S5SzQV;k+vCxF_(xT<(3h;4i-?
zk7vN`8bQAu;N7XaH)q3TyC@FZ!p_qM=FzaFh&`1R?AqzY8wb~Y7R@k+lO}g{gu%-B
zsg8!Q37>LEBs?Zy$#M~v@a&U+04wD7eAb6wQ2$*ChWAaU_?&`|W=G`s!58*1>uJCq
zzR#@h!CoRGbLw!prP>ZJIGW4gwIW;<Y0~8bFVE~VJqj0>&H1<yN5zRs!Je{Plsw>Y
zVTX=GuyA_JPiNTU!M9`~__g!nd{<a&vPSU$EV@V9@CJO~pA-Wh?60Q6?g$I)+gZp1
zmr8ZKy$bJT;6FWc9^Y$Gl&!eK<^|$Kv#@dDAuY1~i8{-=Uts15hPQ!m{C|{%U*WSn
z4|b8`;o@Q9F$gc)JNHJxXJ)MihT-~MbArjRr#aiL_i*^0iVX6-8uew4kDYL}f$U-)
z94J}k+yEyF{c(5(=a*M?zJZ0uZq}8-Nf&6-Uc>tSdfu<#5J6hXI{3!3_aExvn)axq
zVtD5TPn~91S}<bmB^<kzBJ~68BKD!V5N6;0!KfR~d*8bMIm|D6x^NH<Wu{rmg=t^&
z*^a;gYgFg*;f%9cRo~&sQ;%w5;D2cwmS*9ZjnO>u@cWMe8q09nkfp#)ct?ul`eyw8
zy~aJ?I>Ew!a-NXy>rxZxD9^zbk!R9r$o(TvJnb~hFx8+(2|Eov{v-`&6dgLT6|Vf%
zfBP`}k2YnI3O-=-M?(bmwGk^O?SE7kojM4QY>qc0?SD(Q4A>3Vb`}nj`Wuv)f*kPm
z#2rDa$k{$uFS5YR)Cn4-o|0~3EEDX_O0l#6=ZecpQo*}cRvk(G^)Gk3Dd7E*#=O5_
z*ZnE!%jd|ychWsX>LVWgRQ&@79*_$D0js6bvdqFB^N&xG<5N6rQv3t1dbwqp+@IK@
zZ~KhF*FU(toP>K5yZOGt%^yEle1YX0w!ZF$sX5bzN&UNZThmVXlkQsZFpU5FR<wmI
z?`ot;>Yq9M>}Z0`f4*2I_oLg#=~8Opmsgle24Js%(a)7|^O0(n7C5$R!_$}Wp;^}V
zZE$(DvtBWLUh~?WMmVYdA$LA}SMQa46TEVht|k}$ILk0a?nloK35BM^Ehh{g*TL%f
z*<z1i1EKu06>ukS(|R1t*t5V=1t*zlq{hIle^qN=z?(yD?7~R>^1VBy@P?RK#t>M`
zvPbwStbLnh$RAF4&N}rRb~%}J=Pul7W*V0ZXO6wr_JDs<CZ5fQ|G4Y^bc3xIzirHf
zncq8AI>D#MIcmxMEip2Y;s%^ml*bhVi<{K9S;H;E{r%+rX7<3?-V)9);SCIjXBYw$
zjN!+JwU0l9WjFATT!K6G!WYQ>t@@~L!D%>)xAb`kyl3f`u0G7;vvS!Vemup=r3t@H
z=j6H%bJ;djpMb+o7`2f5Tkg);U?rIKmD_z^Sj;p@R1ucUER((sH`c%XD-B0p`!G-L
zZ&#;8ln%ibJX(6Ta9pDiqY%u-Yr<d;7i8>swjXZ$5%<a({w=M3XAf+C?D4H@aK!z(
z+THNY%3VDdV2_83VLM<e%{`HZ@cNbtiS2OX>UpKpF!j3`3VJxP-*EjbY;xRJl^SN{
zX}qWo@AN5Wri9NNsb|xGzXk>tub;)=Gqo=^9E0C^)cX8^<K$<3RA6uIn7s?|URGZ5
zBXHDG`>+3Tbl>q<y?q?OjZlP8W>zXPQyIz3%udS6$cm^CGBP5`9+8n*$*7bP8Wes;
zWh6qBN~E$^ww}-R{P});Kj)nLKKB{dxz2UYJr1jNZJSVncS%IZ{)V@^UeJ|*SB+{n
z48ji`?CJKx?dAD*zrvdZ5}pdf0|^7(y>Ps{zn3U{ZK9;A6Bc^Y*2V=psEuB2fklr#
ziP;WIAL<c#3%gABAKVHXYjG~r!KdH7_{$DY(r(Il4exq1c!vo#f2(`?8NB0j^(hv(
z?x^afO86Ab59Up9Kx<gfL)bk0SqlSP$`j=O0Op_m96${}H+rpo7v`ufm7|3RLtn?_
z!$qOf*XJ?bIlV(q<T|{c;ws|`yv5t}Z6cg`=+287Shgc0Jqk{vbnzp3H-$olNaD*^
zc8|jjHqt$Q@Fwnmxg`J9K+E43mTl%V`~&-RwQh5PqdtZ;O~OjLe=42e`LYb35jb)G
zc~di3<iP9%8GoHGb^Wg?+@(yHJp{iG+;&|H9+EL;C-W0qSC!F#zn?qx9~sYW9<Y`x
z30pnbyG+J&=N;aESR6K6S1Ka)9<BQWyzuZt8$q(X^Qpf>dEmoRuI*%e_~@!FFC$!Z
z++T+*ucPD6D|+}G_2s|)@S`lwldH$EKjws<C-eKc;JCg7j|4>Ueu5K{b6RHLhPL%j
zB!9Ym^4t_$Gf8=^6V@=bXBdRnZjVrqyzA=o2VY^o*^$!s@Eyvzz+SlLn5i4dJ9-@D
z>xQ|0nQ)Qu?e3B>V{LFk=JSuOaIM35d<&d&p)$MyPU{o4Zh$5HxK*3su<rPObui<N
zZ4<9xaoV@7FW{$R7fR~jyUj8l&tONRv*yp??&N!$@4=dzcsocwsh{s*5qv$9Eu<0_
z^tA}ehu^F@9wPa`n|gIwuq2IPS}|N)8kLv|AH9=tjEwK^))1$PfZNR^wt2yyX8ZQX
z!kbKgo1ceM1m&oMVYgv_cP04jRC<Rmyx*}>ggoEivU8ueH|!9Q-z^8TMA2U|hIMae
zglobhm!I$%!ruylq{;M?O{ZU|z-?&_#fRZKqi39l;S04tR&?QTn$!t)*mB6t(F$H!
zIhM2)W|7rqJqCMKORlb)qCFR3rbX(NOA9%xu)&n%oC*9>GUCt#9Qa_DyE&{leSBaP
zX4hWkGKLpoz6E@N?fkzb9fz&Ds(AZhn!}G(4B$6CYoncT;`f{tBiQR_Uwj8_I(e>G
z8<x2(VEq;r{C>iTd|p03DvD;9_P{PS@_iI0blP6S?0y^DHDJ3aDbE^`-}3R2BK+t3
z3&uw<M?w6Y8q7&u^5_A4*xmfrLHJJXeuG@t+?SGD1^(o+XDSPR<lfvQ3+uB_TSmeY
zO~NbWc@sP8>9s3xaL=D2QqQ>Tndu9k%5oDR%X>EGr{oRq?H6k!&##>P^!Jk!@wO~Y
zvb<{_Xo4JI?Qo0Pz3?O6%Us7{hkeh^kok>erM)zP-?d-hl!Vn!|4tHykMhd~ljX;`
z)J^PxV`#$OYr*Nyv@N#6yC-C*$@){c%w53_+j(9&ZU*aHMhH;CS2TI9*}}Vj9Sx#}
z>zv&CPQwR}+!`4_hW`6qKR0{8QrRvVQ*hwmL0j_t3$=NbZVMbvcXs1dxNh33u#Gsb
z!IC`h@<J($<r)0n^~u;9u*Fb&c?B%ga$SMc4Gw<f%ZJ|{%ycL9h}{x(Iq*n~0yn9*
zUl9?Hf`{#R^+~<3D!TnD+}iSNDGs*(9+@2iUldv^PlPY`PpAgLzq-=wufgUuV@$qq
zXHYjUc^>Cku=(Q)aI^RMcVX}&9<xw)c<Frc)d<-5R+G>f_~L!l13_?z?tibWVE>1O
zB_tnjrs!Y+SMVsB2f*$23eqO<H6d3vlIM`E>@tEaKCZm>hN)gW_E3ZKrgh{<zI?0P
zRux#Ovv<f7J{^BxP!4`FvY1QqdZpD7GVpJvNCS7+SpM-OKkN|L7EJ2>Ihxmb;qsT}
z;-p?;eNc)S7L@b8Mdp{U+x1~He4=Q@$dyd*)o^az1pl9rM%#D}t{6Vex(a8@$6RoR
z?R-y^j>8wTB7VEU`#mU3M&abMbZHJSm(AA~A7PKSZ%w3Lm~-8>6YhOx<3sAo29Xji
zaA3-jy<~n9$5cDsz}XEAU#wwW0pYVR;2V+g$4LJ4gOM%I;KpBcl;n6J_pWcC4Bq~J
z_yx&(@a2U)gjp_HyOQI<yT8|si{R=<vOCG~LqbY4{Wg4mSTKa_|L$Re&RH<s$@zn1
z|372W@E{HL?d(q>`%{v@>%c@f@@laW+5Z@?dDh3kfvPbjV(^ZR^GR1=gT2R`B;mDo
z$xk70kNDo#yzqvUy@h`8S&Nwf0g@M8o45d9Pk;N78Rm1Ps&<DLDI*hEVUMRRMNaTf
zgZlI(JResf)$3~mhYk20TZN_m)z?_S%NAOtqp;W9hgcKXNBFPH1gy>8;-?3%8tm}=
z2={1x*V2IB9eyX)3ojdv#jC*oEyrDLf|HgvSj)p<;?inw;crvoN2K9734<eLaAS`i
zhbYV!`J1{N=9#yBAq<yyYL?xD+irwJ3BZmaU))MzGy5kUJTN6ia$`0u5YnBymE?a3
zUCx7zB>t+i!Zq73Nv6Z&8@O2+;8n9tzcb-YGme(Da9rV2^=P<RBUa?!QC#ovE3K2~
zJ0FEtwyeUZ4<+5Z0vjiN&76m|Xtz2?!o8`?Dzk9+X=k<&*v>|taST2ZG1Ph)ju1Ip
z_8T4&mkIQTm+##O8H7i(N@Xs=&kwy9`UWROuMJ*+`2&`xdtnI!uWVn~w_W~5H~cH~
zmF_uMD7Clk8BC{j<^Y*rzH)--OPJS1Fp@0qs{O;oa(H6j6*cmCSB;%aD`CpULn-9@
zsBg@iDuUB%7B?ot#{%{B@4?)?WmaT;lro*-z5{=v+00JXXGtTg?_KyrVuMQoY@4zJ
zFIvX&;}EY<5v-BanVS#O$o2R<g7q^7&St{-w&Huq^Q>(B@o%zVzLuY1FJL#`)U;H1
zx7R@>@;vLty?+f!zWiG0U>kgJY;OB?IJNd)7I~hPp}N42<cr*%Pkw@fp5$u9!xMs=
zO33r9d)^q`N`$GE{#zY_dzLgjqTmM}TPn%(tdivg!X$rj=<3Nu_`1#Y`K$1JNe4T5
z9`q2k#!-?lp^kH<#{SScBF-NMhiQKlqJ_0OJ_lTZ)mV~znc(%w*E&J4?}zTa<oVTs
zqk<G9pLyG`TM(A~v(_3wypWu@6Lxmk_Wd%PBhYY72`<6kTatSJ_D$-f{nK>hsB;Kh
z+Y|hYv@b4g-G0Cie(PL&i?mmQc6TI@Jcq-jd2;-b5lgea0DGK&`OpSlysY=k2Y&zg
zA{9CRJ$#MF!(cz>r!UFzRO;mGK@WIX!;_h`&qQ_Pg6-jg=Rd+P!d0h7J~_fS`SZI&
z;NF+UJ}2NrynLISUtH|g-kZZrdX3rS{B@hp!d({@IxfI^9p0fu)vOPTG<|ct2{ZW5
z?UjSK3L0O(4c~W2i#-T$kz)IK57znJDJ%y6mt|mC23MF}2$z60rCA?5gY%!tj&Z=o
z0w(>n@aoTYZEm>1m`n04TpP#CHEE3g>^$Y@J~-<8)#@?WVA4bG1AN*e$$S8&@v^zs
z1FPz7S?h;4%*2_u!|hs}>8)_XuQM%Oa7|H;;yd_BMw)*M%ys()V;-zn(b4r8zV_mu
z%Psg)#696**wA5wIt6B4FueH(9>^_!o(}V`Z%|u-XMXcvOM<rsbuO>Lmd_@YZ@_K5
zQF-M0PWaNX%?U7v)Co&+edofF%tz`5TZT=@_2h@7(b0HV^G(@iay`16>%e*{d}OCG
z4Y~eh(hGk_>eE-~U+KV;>@&N`@&X%vupEVb!W8GCV2;}l-W`L(lS_<Z;n${-eB^pN
zplAP|Ao#o|Yw{^L@=T6qD4bF}KI95>b8>(4gk=-l%}IYHkL2Y;-f*wMk$a>+(?avO
zhZ)R#L?D^;kMbQ@+Ik$`D5Ii6`bViJ#0Cvuz3+b(FTskpyRPcN6>J;tlKxRXu8pP|
zumtNvTQa|<l&6bo@aCAeo5}L-HU4f;fXn;c8$IC-#>ULD@cxQi0rGi8|3!Y5glp6l
z`yAj~{Hwb};ZFNA2gvtj)R&vx0qaOmP8^4$sh=tG!Rv{lI-0Q3gN02Tuv7XAO0xcb
z9IYwc3O`V8D^-CXR;~py!lvn#E{BPeZ!~O#-?RqSNyF_vpOPtIH%F>V2jE@z@5%i$
zLVv~VmObLIi{9jhML7I(@}MM4rPEkE534`UP1p^0Ea_{Ez`}_)s7QV|NbL6zd?+pN
zp%5I9c&_3LEFZhgmE_;`9kuF*M?Ueg^T9WYQ$@Pqy@K)W0`Sh~L9HEdz|)jVoUoW?
zUFKVOvk`?X4?M~9P^B6EyNBinD;!-Q*Y^xQ=-Pgq<ZJP7bd_*|PY2Z&_#~Bw{v%kO
zXYWgruiNc9{Qy=wx7U>(evmd5lMBCV_}0%1Usj*qn@#e%1J~$aHABh${_vSL6X9(z
z#b^HbK$3rA8NdtcZ;TN+3yYWcj_rW8IsL=W!~gLQs))f&!$rm}u)+K7OJw^mO^To;
z`LJQBTxB?|=Rv0v+$rp8t_D*-4;gZYE#$8pwS>P_WS5b8hF~?lHC%S{^iTlo;XOZJ
z2tRSN=Lmx@w>(xP{dLAwFH@3XDZwX~N&n_ZcIl}YxX^k{f%I>3ZTrZP2%qj>`Zfb6
zd%YUE20tl2oH-Ax&V5iJ`64>C@imw`rfTyQINBugF1i0?Z2a!@Rk%R#>JquX<vTom
zzzU}M{L`4+Piroo{A3O%$9-QT_rqT5{`<5A<{qRvNbcXgnjb#E24CF37JC4`<a3vD
zGkji^SCia7tagY!$pp`JN~DwVZcW>D_Rzt`u`)*w!y1MXS2n@RiCTAb;olM&yeo#d
z|8vTK-5CD#Ex>OLt{Ag*CF2J@=)^St!mKp5JFMV@HHN%Jct53=j{|ILUFkjzPo$oc
zbcX+S`R^e4h?bNtUs&uu@8ksBIFk_P4>Ok!-kF6<>!0qAhBK%_JjY<~z=vb8Fq<~}
zmwA|?Zb6=m59N(2C??Yv$jnSXf^TXa_E?6$#HlCs!JD7gDw6qSeo)c<0{ax)npuEf
z)7wmq!{Z6uucly%@8-o*u%R9UH_7X5cUfJ8pPdW-ISTikvwOM%%bh)^MwWMy$73TI
zU!3sfGvf$+@Q+h1Exd=J#pO3VPv^UpjCXd;laU#OxsJKEvcTNCb|wzN%!B>{+_28e
zQIT$Vw#O`)AKp;c9o`F@kGl?&@p(0`6Su#GzZ4%blYqUo{Vuk^Wtv7MGO+lki=Qjt
zZ#!qYl;8?J3%O_Tv6CA`v|!c2+4d56?85U5GM+ELs6+Gt+$#NH>=+z&>Q+J;Y@DIV
zLB{ii{q+Bn0XNUso+0D;#2!>tB*R{dqC%%(MxO+hR9LuP)Au~wk6}gjFkPKbI2rF1
z951JD2g^Df+e^m7DK;h#9fkWf?&pWV&OO~xM({U|NJBEdjzMz62_5(^qXZqvd(#@M
zXu`|FwB??#^`64(a&QHo<}Q-gjaiVFfz!|Md?4fLZNFd4=7){*`&WEn-h>Z_dEt%p
zrA4IP5hc{m1SgjL$3@2LZL5t4-3+Vfr!>03-Qr!G>jpS~J7vm|<>ikn)vUnd(x-=9
z;D`ao=sCE&{zn$chdFmj&A@>@rAHiKhZ=$AA8;<s&F3Wlqy5I&@35Di!)ZHMAmckt
zC(Jae-0KAIK45$AJ-leYA;KCSId<jZ8<?faO^M_=Drk9|V1bKLf6U-nH{+*O@R-=N
zCCT44>$9wYd3Ybw9fu`C1ZN9jCv^uuOW1zyae4t<?<}~>1a?vHcFckIhg|qV#&13k
zai`CM>wZf`>%(rbiQOqMhiTAZBe*<nVQ(57xn7$}mal1SlzJI17*4CPg*P%knhb}P
z#lEtT?|W>nFVctPr>(=z!o&OI2QR|L)ptMoz&@eJ16<*+I$T<T@LT1FU2bq^rb9+J
ze0{FQ-5O3GeX}VF&fK@H$rgTIzs))cPBrGRJqj0mI^RmhM;>N6^XwQrEmtj&3p=LR
z9Myy;SQ(P;zy%!-?rFm=3l>B7VP3sk7gb@}luKC;;j{0L^D4usnc_zZ;UER&r&93V
z0mo+~-$`>-i653&XY(TCH}_u-@!SnZ9in_rw)aX~rfNZ0OvRLqtd9#vDW*kWaYj`u
zvj4ErG~Xb3!_wb$|6kuyPv1(wl#3sXj-vjIUz2?g{Kao~u`2xGwW#i1Sm7AcG}(Xm
zt<6l5{LH?pY_flA^>hl!z?-A8hxftndmYb{JX7Sf@($QzkMeCfxa;i4tNie>s*Z_$
z@GaUs-<aTpklQ;HVAfy;k<D<`Bf72o;nw4HlCwCTDT%jhlX{!iZy$2}n^0CdNb0st
zgMmHpmvhVRq&^$<Uws$+t}?rde4ZJHt-SxiNjAsE6k(alImcSqLwi>;$)B&!VtEF;
z33oTB!J)|k78S6sNuiqx+{-LPOOD?qZpU)9;1`zb2KV6MULj2lSoBEY@-6sH9oshx
zc*lp`A2Q*}@h=f(aG=$P;AHsa7d=yNn44}Xn~bm1-oUu*2`j4>>5}nvPE>U%k?>O0
zpx{M#^yejo2$(4@rR^MC-#~XR7Cw-!&+ZOy<P3gB@{fZbohRorj&qdb@$ggb)0O0W
zm)N4`6AYV($$OCTFG>ylYGiw-S@Rbm<6lm0EgB)8ry*qbM^3oxt$g`e_|9#II5Pgl
zeEIV~7kKu1)lYi(++NR?Q!wBBWDX<TKEH#L><{O~RTo#$K6r5N`OtBA`mN`qfAHFg
zjA*j`(|zW!UVxL{N}K7!H7y$3mSH2sZEHth@m;@br{Ua8%^Qbc4p!NHBtMX{SMeas
zkliyd0ayHEJG2e<N<4OvEU&GZ={qYN#XKoA2dmlTK45@(mRI`!!k5DHmS|z?ACfXZ
z;knEMjsNsv2HA0PzuobeI_nC&aL7@s7yj|5Z(tVo%y(MvgU`q>h)%*TTnT1x;TYT;
z{Q#e1c9HuC^Xn^BcEOg5J<(ra+YT$^M))sn*)nNg2}TC~t%sxLlncrHc7&!SJcWyW
z=s3Q?&NVeMPhh$m$@M+(u&+MVefZ=_k3f>&b>*&MA?$lCtm_Rt_EL@~4?YoV8B6Xr
z)5vx+X2350jVC>UHOtQSCBb6THAgC7ht%Dz(eSN3M~t%J+nrY_lHoapz_d&_JoU&d
zsV`4bWnYFLXHUNhhja5<O|QT^t4_~&z!Q$uRir(t-YWFU6}IaM^w5AslTQ^`!G$J<
zfuucMFqP7456@cNs3+~`pH+LkEZ~fo^F9-}UOdNOR$vF8HLR*0g<~g9?K6hkO@4Tj
z>*XK64gcxDpZ_I`m%|NQn)({Bd8=0hx!%@ImElr?ovOAg-G!IT4m!)j-&+?_Q{hL)
zB=$?g3x97Kq{FPm%Aw+LgsIovNci7QS%Y2hoflhdqTw@FM^yRXL}gtE(q9{@G0eyT
zE4P2=CjGlojoYkPN#5td1qV2M1BVC$?4_Y1M*3GjDBP^0gxizfekS)bl!FQqmi2J|
z+t)OO^oQc_r%ZcbxtJ#pNPpl5*#yD&aOmwlPOY#ujYV@SoXQ)*(g0`J#H2RD_pePg
zlm0}_84Jb#;38cOpI5N6)cEaEnCf}RO;Vp^Xw<zAbKGp#CUqANqsKR3zH=jINxe69
zpG696cWys7spoL5S$e>m{i;e^;3kGC%5(7hbL*D>!PfnLvPa>7j48Qx*uU5Biy?gI
zru0xFJdyT6;~;E*ux1mf^9+0*m4#z0SDunOg@d{PH~dC4G@0~ojck?l-wuDZ)c#5O
zx0GKSu`!Y9PxzXCg(G(fG_b-;+v!#(VOuYeWCnQEn&-(3{CZ@|C?kB}+YegOpEY-q
zfo~i9Bf8Cq^miHDs_heiA90t=kp8LEfhI-~_-kX#A%55=|NTb=_%l`fr&F+%Y5A@F
zu=`SZq9Z&f*kCFTD;Y@3`@o6@`GV4LO6Q45(tkAkw>W_01GaBd4~2_QUe*?eW%%Tm
z$^C~A?WjCSc%bL6K@40yVs%y+UNhyOi6>@rXxsyPhIE^g`z7Zm_FmrsPhXs4&VXlC
zbaP03&PJNyF`W0F(T&ujR}AaO_P;?{h?mT->H9m^2DnSw$(St9WBdKbb+Cc-H7fG?
z^7VFFcES%iSX|X$vpXM0$^BI>WhZYPc(P#q=TCTWrnJxqj(ON7H3Tb$@IE;K-+nS7
zO8Rq(!rz6Ey3UB;;6GA7+jhem*4Sg#OZo>)zPUP(ysvUx0_h)EddDl_3I}^KNs#`I
zYPWPdvVCP&wflI(=a~7~eBeAkVcrP%`=6YzXJKzkm##=SzWn^CH_UkUOnV;8qd8nj
z>hiNCS8u})sC~|O!S?wSlI3tI!w*?E*s)S&m>l02OnrWzhZQMOW1HY}o&8T;V6M9#
z)XDMsp299>k}q@(O8WqRo4wla0QW^#8It3-rw(^K$!i)j{T+s<{k$zt!FrTB56JmJ
z-MQuo$?u__r6A|0Ywy`YPr|`cqE%$Pl7e*6K9W!J47J^W^Wh`bzv~uog+v8A9n5r9
z)tuyipFMSk8CJ-T+IbwdEJzV#g;yB)dq|$&akO~{tdeJU+l17`ctdx=xf%CXP2sWP
z=1wxcIL_%;vjKc|Y$19ttUC}KNb(E9M*GxYIl*#mJy?19(r<P6fsny6`91UBcP5hY
z)=^&q8p-xhwvR%`3=Whz{ejetM<~=i;K<w2Ii!AfTzr{4pFmwJev~Y)>G9?KaQJh9
z4zCtGsB_=^D(rsu@E%ex`%!$1j7LALVmhx0v+;G&llD;Yry@f#zuq@NHYM=by{Ft{
z`}7Pc*!F<boo!o5-fP>^%WC-AL&pqd_`M~+_iOk|`?DEUm__qVQ!~tM^1Ox|e{yKX
zgWtjTIGsF6{xPT8?$5A0i;a>Tyx`*SWdOcg`Q!%4HzhGjkH8hb3+?y83f2<8e#6u6
zS6>`}w=VP?nt}Bd$08-*M@sWEb8xt$>USylx=x<f8Z5L)?12buLH}ayAAG_qm{ttd
zzUq8*BWbVBdpk|*;`n;EeiI+8r&nGx3qRd)(Rw%Rv}<m>8$NjJ*g<KyrT<k*7aY@h
zb65oKi;1&qg|)t3%Myb(Z?d6#2N#*Q>j=RXe&U_=ut!DZzg@7&OUi&+_{YW7d%W=Q
zpZA*2;VR*8_5v{1hREwrVVg9k7tHW-xrJ>h+<HabixrlPR-nBPQ|`aQM-N*sGk&-O
zhk03lB<*kQ8?%15;Eyg@mr4IYOGA^!P1tSOL!J(H7kNCI4u6v`9a_iw2&S?OkA@qZ
zbxlaVdqPk28a&>6Wu5d#*sD(0`omlOwzyNG?p5)}<s!VutHZg3`pW^UmQ%2)aiAip
zr{&vTu!YmNJ^V%bH>zhEyN{51LCt1TKST8~NE@b&o~R;q{v(U`Md2!?i`S`9Z+2lb
z6@g<VZmE#vO9kbOa>0oWZTBfq&)r>{%mEwx{%cOAcb=pFO9{6n-n>NW4S(da{~bYl
zs_T^qsV9yuxh%qI|EYgnhU1IGw)}-Pjh$o2_QUKt(LVuqCl9O5!$o5|!^hxWXWEG|
zxa@Z^_W=Cl?}8=CZ&?_r?T72vx6%E9^Y@p;b-_&f*Q!bW2Hp694{$)%9oHdvlKK(F
zJ9zRCs{q-atrgXb8e!SDT7KQ|;}>*1ui)6iQpr#7c;sEz=kQ|4z*VyU9FF#oc>?dd
zsj5WwpY8m<V)x;lmZ55o;ajJ*7Vf}Ix%~^}Fs;L#oLg{5_{8n|@EJFsGdJN0ZcWRF
zu&P8aO9s4K=LBsbd~Lq?OA>rZy69ywd~8#ocpMz*-?%jcerRgE7y*CDV|{lM&bnKZ
z8xB8x!GG~O{Ie{@?GkJtb6VmCEccd<Edb6*_xcnEd#4Tzc)^~IPZJVhA@37cJz(uE
zuMS;<PyUlIafPiV*QQB-T%P`(d`GzE!e-q7n8IqqS!?)ry9PxN9Q!76s}&sRs(arX
zmUK|MuMc;LmvWN4yjAltUATVv(SM$B#Lrv&>hR2|&jBRge`jBlD(va^WjDDV3zi?T
z*$00*Dtw*fjY5NI_ri5qyHs3Z+k`$DHuzXe6bG4}dnEYF7Wj-%c)c4upm&Dqz7Do;
zPR2^|{LVkkT+34UPTvj&ay=<EvT-IC{uI;aOOChU)(X0}V7|`jw`BeEyWjYJ9q!W1
zmL<p6besPU-hi1|E25vm8GWoBk+8JZ@xRaE-A9!6M8h^|=XL90{Z|8XVesOB0!1Ti
zc6Osd1WccQ+_Vj5=Plq2hAABQ=sVyH`ZkYHcscc;4cXpCXPp%NVVw{E*vRqtgK^bZ
z5Zv!8`;u(W`yc64`N9cmE1r|^@1$&(K=|%uX>PK=9XY-GfHz#<H`h)Dzi$m1@`LRv
zME%%cKCXWcJ>f6eV-oCe{`$2lQvcb1NK^_|Sp64H>b*{DU&-;6_VM*tQtuGb{j3YW
zJw;(o>Wan;$p-M^NVXlRABaC5?+mvdp%5o^R%><*S2!TA@BpcA=dn>G{e>#!|NeQv
z7h?JTUV*RmKiWv@8E+kCvSGpe^-fZE8xShWgUhBA#4o@ruN78{VE@VR1vi-0XtC@b
z?6GC7kmMPT?Y4Xg-@2lF!4(cVKgj$F-f$xD9mx+SE;%&87SvTY9N`q<CtPpgG2wmM
zB(GWgy|xcd);-N?4;!{+T>JvR&c1Vo<TE78-VMVSm%3!E;oer~%fH}-7?yZjcz15_
z$0_)wfRcqdoLMCuGYemv@hh{0e=i^Tx&ohgoqOpRoEX2HvJT%J=8zzHE)y{&X1vej
zrik34F}%gQZ-xcle(8cS$?MP0XmP^~i*Y>quvb#<>UQ|K09^~ofBo?Ojs*Oag*)vC
zd~_|)axXmi^Tebc99o@HDi6Qe;`Cet=CW6EJOuxz`1K6QUlKgOSs%{tAC@@`Tbi=h
z8Nwd>gyKm)`j`~E87xY_%R&iGr09A_-sfU>FmDsd|5c*(J_G-a$m~*p<^7BIoP}*{
zdc{fpTxDI54_x=7bwLJx@9wbQ54KpLH<pLlw+BU%_s2we{~6u`Z~6XoCIVKY+o>!L
zhi&W7iig*G`*YY~4&V6G<b5=r$t7A_VI3L|Hd3!qO=4k$Gxx1FC&KQvj?d`fJM^Eu
zufccr>R+LT-$yx!#=zI>*E`p>(f$<S4<qj*dtdoGX8{f!&XWs*H@$7vnuibFzx2Z!
zRtza;nSkkEETxn8neoU3pZX0e%RQKKhON(^6(5BA!*||wg;!b4yS~B}2Um}tf_-RZ
z&vd}XpTE2$`6DtStnF}d<6{>aIBJ6ZOA}1X%gaadUSDV>>fzLHbw0*$FVE7#3%K1|
zSnL=)ne$h>5<YaLIqWbTVn4?E2(~>TEUyVa*hIll3=jNCJR}YWvaf#3hev<@nv#Tl
zn>cr8!v}Oibok(l7M#<muuNFTngDz{Ks@6*e6l37m=l(A6J8F2r9%DQkUGsey-6s%
za{V#y9ytEm=;Jf6=AjEp((r6YGyPeZ>es`hgK$br<wqwt{oijbMYxJBMZyI(;T68A
z0h`hWFWSLxOKps`Vd+*2V+S}~DeI0AT)(Kya}xfl(_vu(pIGO*U<2RKVJ@|VKiMxU
znZd2CY7W-0Kw(#^1stgyTImGGX*{wsfisjIxx2tN22NW@p4UcVn?D?2d$8XKrW&<+
z8wh)jPDPu-xrM!6vG5+R>f;9R(K;HD1bB?K&fOmVsv*eN2UmMB-ExK1eE+!gz=NVA
z#U8Ns%><_@m@_!po7CqD-f+*tp&NWIk-DG0JI7{bJdZ%fu1)F`O9d@V@Gf7*TsOF2
zy<dO>{#aJ*>IkpzWb5XFH`?aaI>S$I9ueIEU({$lVGcK`JxmdXSp`0?ABU-L`>OK8
z{5#ZZL}B$p-4H3*`lh3^2z+gvUX0}R?Juox!ST8KQpMp5rweX#!1LTwsyku-d(Y)J
z!BdCm?(KnN6i2_&!a-xTCj{Z9wKbnbE%XmuYJR;NE>ZAkoP{Y1<T%-3C911d!!Xq)
zu`nK(uC$5z2h2YARe}xHPdeq$3TOH})F<_sG>#YTu<^n5JR!LHFqd&Hd}31@Jz2g;
z{ky_?n8Ae4RvLEt^h)t5eEZw?W?4AA^IS?LY*f0RR|OV5etb_c?7H&jss=pOOmX=h
z%xtLKuMaOg{j@C`zHaeb!vr?DefexIEHAB`VF^zd|B_3G%^jExt>K_c2??2G`umQz
zoZueKqdQ|^O4oG;H~8nDxxje%k?e813veE-u~sA;RLi@~7w-K%lN|*grtonMhOH8^
z_XWZ}=hi-i!$~p}{eJKdx;w#vaEs3I0#7)&{?vYw56n!;IYXuoH<TsIXIvU{ae&)h
zXhu)NGiB=bC*ddie~%l&pREeSkHc!}8MltYdgn5NjN!N5-Ak(QK+d}M5m>n{v{W7D
zT-fwS1-3pgd6H~jm2!UN@-Sz563Z@FHz<MT09@T$=du+})1Z7W4todK@{;Y9?oqOz
zDBR5Yx0!6uClAu73&F;;@j)ywulvnW0hr;}jy;>;ph~6+F4#$;;tK;DRaR`n0mqsj
ziK2$rYIyf-fuBwGDAB^kq17FX@KHzC-)q>PJ{j%HqJ>Ww%w|)d{x8|=!beS<&u!!%
z9YuXKbc1pm9L7}SXbSIQ2$64sU$BdwCg(#_jeXRw;gsoQ9%Xnwar6CZxLK2>iM)@@
zJodG31zh6g6G+adA98c~%VDoAGrP(8_Pn*}pZoBsgroiBeP*xa<gb^&)xIrPMd8p#
zCbKDU6ZePPr2eW;H7l7+zw?L@she}oI>*36tm)L`d|tlVS9O(4&mLw;&i8w36T?H`
zo9geF$ooGv1Ea-*;C3bD=j<>CmD++2T=z2U92YztrjmC7&Zd~-BJBzOmcM7*;X57s
z+t87y`jTy#?F=kod)uD@*5iLXU=Qnt4M;G-w<VrO+QESq`k!dv%oQ&a3;0P}SlmYV
z!TXSv6L7}lgggbzc<NxI5j<WYFir*ctm>XOfWrl2(wEWRvB<05paO4w{+)v4-J7}}
zD8gNqNA546ertJ!Q5eqncfa``eBG13awj}rx5b;(Z%|%#|EPiM<^Gd<w_$pF4wd>I
z*l2P?1TVa2`0n^~c>9McQxTZrkCjF>{58?BnEXE8hk`$q!tL~8EVA&6Dyh9?@T5Vn
z6ZyR#`)M@Xf_FqDx2nSy=Vo{c;7onB9i)BqE^F!04VY4GGKy?Z_4Ie>GT@Hb+yT-a
zDk{v*iiXXV)wFEkp*W4%SU8wzHuE%mHRVNh1WbGVl_6;_^;VwRdJSgo^1ST@=Ph&&
zgu*Euhs;QOiO$?#CLF#LK5>t<N2cEY{1*tXFFmylg+DRwdqDC_Sv;GP;OXVGi~jIv
z?)R71;qyI8Z6r^bl){n)-(1T{_a^nt=Kp_xY4N^MO_Dz%S#$0o>Z2_hTfE>r+0Y%2
z;fuRQok{+W^Ztv^;hIGi>9g?uUo)cB@W8IP0Z*9vnnhPDyyI+N(HZzjD#x|=ur8<Q
ziSw}Zhal<i@TJc40xqzQyTb4f`2K2bt2^wcnHN6?zYwEHcY+t)tPU^0b017K$^81i
zzaFK-{`|owhS>qGO9{xOhuLlpzB~;(7Jk(s=Zi;WERlBby`O2Tys%za^%r~iZi4Pn
zaz1+AF;Zv+w`o(*kn_jS36<j{&;7}%^dP)aX3uW{=kapeE5ecMOui&PPt#gK&KIYa
z#c_<l?^_>yMjLiwzB+CWTXYVwnZxgbvnr3moV=+`<b0u`eT0eR-)iV=cYrM?EqnE0
z8@j*k<aqsfj#kPDrpYVbc@7Tz$hM>nd-j|5dXPHDD<fTa%kV}Ce^^AiiAx<e&M5mv
z&IbyQJUukwpKQ)DSKt#=J_^e4yz1uPSK-4od`YTslz6RD0{l;h*XkgA>VxBS68uW7
zvFs2$CCROo3A59@4m<#-7`#}@f(sQ~KFGoXJf4OHu*+U!XAxNCVad}H*!#=eOHo*p
z(w_bayhF9!csqRIXo6=IoayLM$OkV7>omTGEmtVpDarI715@6?r#ENr+5jIglmFcb
z+x6@TpHRp7G2kWjXZUdDi%(PV>6Ae8Ay}JATCN|S3LW$sgZq77#(jaC_uXllgO6M?
z7Ho&tZiY)P!?UM*FLuC&AGE@$w&4Avx3bjU!aMdomZgF9-U_9+z!yIG#4y5ria$;@
zz(ZvN%3I*feAlWbSmy1m>zuIP{AayquvdrMGA}IIVSDQZta47;Xg8@pW^*rxX|t24
z_Q0iYQ|l_=o)R-NY53TXM(jg)pUG4D12EOW#=$a@?+CP2gehY@?w7!`Q{Aj8u+_s0
z79_7E>G;wJX7XkiDuN~Ys?VFi73%5!B%hyt<v&aKsj95{ZJ4jR|DrX#XsIw&2tV?7
z6+8zgy?y^I4;B}F)#U+yJ=Nn}0I!AX2VaJ%G@SS5!2YlEq_4my%+G(h1t(TY^ryfJ
z_y69#3Dbmz#;3t1%2cLge$HDN<%?ijnlRoBxZA~Mv;?kaOMIIRM`iv=c>zlqY)rWU
z&ju*y)WDg&oN8o#t4A8A+hEfxQS>RWRmIkV4){%MR%JR|w<FJR5Pn@kb2$lS=NYFQ
zhR?Vs^jwFfrXQaehn?$Y^J3xEQ)`>1;OnpH3`u^@AnFMP3(lw4966%l$GRV!sbSfM
ziL)f1Y?uCm0XAsRl8b=rKMtH@f_a}=4Mo8=YHpnTu)5g&2VwA~!;jtx!ij^j8%Ta%
zy03sJoE00^8U(*$dDbZo?+@L)GZenw8zLeD@322M?gvM`ebp}q|4aI;9ta0eMebFF
z-`(S5^oIM~|NC(m9_1)>@P$XW#mei!39dup=ix_-jiUze1dDsPC;Xi?LG=WDcSrv=
z2Y9RG>Rl^XUCq|r2_9-`SaE<&DUxJtU_+Y4QfGLF)z(-$SZP}w^?5i?%bm{zzSqxt
z#v4xK81puT6+C{|T!No|y<xu>zO_45IT~gj-?>>5e!cg<-<M&t?7-8UaA4&s6{+w1
z$Hu}Aj}Hl#l6u^PojV0w{Zg?h3hul^&AxsZ*WZkeUZl=<JKp9$*u-*fQyLub;$wLu
z{QAyEn_Sqy`5SW?d^O<0#X^``QqcJc+<Vfj<sm%$gmdu@{9_aCzNfI@^l`&N_=(5p
z)oR#cP~}@Xe6}ZUtPb9o>Mwf}epTnK_70ApKHeM)v;Uwkd=KB@isegyCroBndf}L0
z?~zD2g7JB2KWsc$tP~Ajnz%(h1lw|*Zx4h6s)SvC!(KCayMp0mUe=mvIOV^f318Ss
z;=RWltcTW!KdDo{Xjp}x{W;lv2KK!uDMrPL`#avz;%DKk58R>j@cwDh8XNfBzstkS
zu>O?k)>AOs*YgUT@UNbc0uxxc;cYH2yj`DZ)f6_|^L%a>?D@CjKLhxVmP4TkEOB>%
z+ZdkZIkvhN?mm6tz8bvqUe+mD_(p6hl?FV&A-+Nx{(0Nrog&=gE9t5R@7Qo&Pz8RY
zCQx$(ew5q!crQHdZ!Tm6_jylm+z+37qvvM^YX|CN?u6r>U;J_sHf*q;+6^bfyYF*?
zXM#6A<A?R7*N0BS4jXnb?|}V$XAgS7XXopBxMA+3urV)KqoQAe7xvZmQwxMSX;@z|
z!E5j1?uNn-6@<63z~31nR<6NHb4GWmU<t!`yLk9Y&Z*T6a1vwW(;F}oMULt_HC#_P
z?L2ZHc8|IBry0J$AT)Oye#Lt`@Hw0$JY-%B$I3t4RRwRP`9_@&r)f$}Jc2{n6)H%c
zagS<xDV(N!;M7fce)+XsA*`Ao#g+rJ6?W4Xz$<KFHK}mFl6hw~+}rfQBOT6q>=kqq
zmW_DBlL+s0@nMRCTW769N&bj?T2(Zh_Uouv9K0ol^Kv+Bay#`)0^DJyB6b;W8H~IZ
z3H$M?z4U?wY^la$;Vl32&K@vZ_jKA7I8tB=KP<-Mritj1yqc!aCui8!f_*+1t_{!M
zcNCU*mCr!x#p?r~4T%e4DoFja*{8FraDYP>H<{mVdp=HOnCbG12J-tvNF{iRz`IV+
ze-4Kk5(jv86Q_?~C3VT0UxbHMaePT<d~+SXq39Dd0<TaV;LC!~&M7i|g8!y&3nS}0
zaZ`swKb&|)sfYX?Y}=*8yWsMLJyGQM>vyZW+ztDfnGBS}^-p<p+u<#T6%#9A3Dwfv
z4tS2$Y4{cFRZHda7N+*mPpgANuBKGCz>JkXV{c(Tm7$0RI6l!brxj*V-6&1+3#Jcr
z2H+(Z<E1)y)3e0oZ*aaK<MJC=(~@C%2`-)0tt0gfCnxT$!UE1L^`yRV#rfVgHoU+0
zyG9JDyX`z;%?Uf0_{lcGl8Whcd*G`|ch+AKJNrKqgUk5*{x!nsS0<`7;G)MFO{A``
z-+o3LcI52#`VZ!`-oDKoKD>QOp&B-OxYB3|o4I!!BK1@CXB#iTy`0~vN!{d$zMn75
zBh<2i)Gdu(UQB@b{W@A+!fT&1_awvj6&qXY;Z2kq_uPZo6>3vS-Cq1>-vjt(ESp*_
z{CZR(q6Yr8M7!xZoS#oGR|{J=Se4hnx&MxS?;!Pj?Msy~wW`GRF1R<^Ac)krG~Y-b
zheMd9G)Z0buBXNn+&1w!^BMg4R!YVqtW@&M{xPh*=&rW{7k}NxMDm*Zp3F0B#qp1R
z^y5QVnl-wR368PL5F`1^Mh{lmVTL-_*%J8a-OHt1Fx_xt4$1#J)od;bH$6>oE`m$d
zZ_-P^cf*ullKj2e8e18dIhyLqZ8)DhfkhrRPkQvJ03P1-#90+iWsq=9gYB90-fF_l
z5j`~-uyB|Mzabp#s%01hD=4jo9fM;}jNgufgJpzzt>6n$N26WgYp)uOUE$2+v9E4$
zx6e$0Cp@?1qwERzgWl3}e^{i!HP#$%%n;rZ25Wcc^60|<(mXFj!pv)XJ@w)9XY!j9
z;KYj-6v}WX-&e6zxPQyYaaFk5XUpYm_))kI??IS)sbpUsywi;8!Xa3t_H$$re1RfX
z;Q*ZT!u#Mon4XC<Q5F`NzZ?Gqu6@VPF9L5+Y@4ovU+NWki^7|hDYa{1KD*tDLU52)
z(qcU<#a)`T3-0!5Fld3-9EC0TV9SFh|Jq<7i_%g7n6~e#X%Bp&Z-*}zoW7NXwhxZm
zSp1F$&fKkKH3$p5=DfZY-rw80c^GyQ$@#?&$68U_kHe<yn;tR4;#aP*O~K74w_1^W
z^}E?>ify>wdUkOKBOD!k@jNwrI&JMD$u}K-@E-%bNA#r1MmWV?(w7N7ark=*JuH07
z@f|yC$8hK*HN0^6$0aT}&iYju4Ltmt>w_R{V0l_~K?VD75R;5BJe2n9&m7G7=;K!m
z+*1Ae`HSjT*iLo#+-^8t+w{hFc(b<s5h?hm^sk+raNO&C_Yc5POjZFO;R-zuN+me%
zn&A6aaI<jIHcgnDIeu3i9IxAP#sC&|e>3(RPCF;I-58D(mpNQbrl)fEG>4mCxoxU|
zbF=GrSi#fJx^1dp-rF1e9N?4T8+Vt%zsfE4IKv#{1Mi>0gA|`Tec_Cqo6<|+qAaNh
ze^@xhd;AeB^24L=GTca+SzZh`&ez6Vft5~p+LHX6dJWlB_=|MH?n3yKUCKxr9Jc1t
zaSwjd%AQ;VvuTH<-+@);9M$i^BT-iBWPZOWM#f*jQ-6IsGU3#QOUAWufArw)Y~p`4
z1#jR*iNA+K;ft5+&ve1mx6RYTU?t~GuRp^}HOFlO;rZmlo?qdetbaH8!z?#fczWP@
zjdxEB;3Yc>ya5pHLsjlg#&EzpgY-!_I>O(d7q(aXex8aQ{UIAG+xX$?1epeUxFXQ=
zBn$k)Oig$T92j+wju}?}@u!0h?!U&~MhC|p`4dL+m5=p==wa3lwO&?uaYX136+HPs
zIcgg$p=Yi_0}tH2F~AEy;a_X{tBn4OvPe}SxMNmg#}fQZ@_VWn%yNDC*EFnu@}rg{
z9FQlfJO^{@NoC2x@jf#f#^FPg0tN@+hZ~MPBzYF5j|)d&Zf!Q-Kk%DF4MqBJP)CUm
zsnd>h6gk0VRd$M`?pRi9;R5?EQ7V$U+Q>VL%kc4t2UMi4ZTN!z3Ow@E?>;p?e`SvI
z)30zsKJ|rF)L9SNI1j=nr89XcQ5Tt~Vwr{eqIieM_u=PRs-1^_Y@;2bK>f<YiCQKO
z+`nKADIs+kuOTlM_|0+85>mgG)Z--zTmJp(LF!XeEkY8o?CkzVvOYT!H~SmHBj-|M
zS5RlmqY^y|>z9muUxWA3nS@xtYF0;z$ol;itGV|i{JA}MZ4pjzN{w)YnJX6R$@hJE
z>Z<H%_^X2f7g@j4_qt=w!$(5$zK)SRUxT6-tZAelP4Yo=P9tIP)}AzDvVKaYOwuD@
zrKRx#l6Sszdpr)7uQ=d73{y?U<s`z<EYY<iu>RP<Y&!gImcj57oF{nicn)m;%KCOc
zoOye#<Su+?DBZOS)^q-9RSaAF{$0}zf410HRt8t73q-WTW63P`<#5DhkG>9g^P*$r
zOL%e1t-QBzNTHg`EBH&~^n44vFF3Wj2_9xT5>^9mk<j9Ag@4bd^t^_BuHE$h2>Xve
z&wd7fiafuo7mj44oqYj!nKlG`gAL*wH1ERMUnS#y!H%XynMJUhM&#fWO#fVj#uw(+
zDXXOB#Qj>Yg@+g5bnBz`E2#6{Vpep5>)eX!DNuKw82)Kb>d!RKEu#LWXvNDEJ|G#}
zz6Og$ed0BNUCVa|%)?S`W5w#Qf5OTBWw_|@2U9he&2TPa26kip@ogWRoWM1*0IzYs
zkJ$_7TrEwSgmZlcICj8slJzrlunucy9Y4%sb3A(t{<AP($O4~tw^*NsOGNsYm|*X&
zUq!!RmyDqZ3Rv^V=S^gO>Ndajt}9`D*>9KfpK#j8$*^CrX;Wpx1YEVSCh-#vic|F<
z^~vWeA@AW|58N)3x~;-iu{O9oV@izFGxR9b%iy7SopG{0v!-`Vl)`>-&1qzP-_xO2
z&46E?%r7GK5v|WDH{q2VJJ-qj3*VD?KNzk)#qo-)e}xSel$YTnS~*)c!`v2vab9ql
z&;}nCxcS!4@80m!*x0vR@Fko4v(E4m&reZ)n4QC+&IR_|<Pj<i+c*DUI|g3~8Az0Z
zy>{oi9EXo@aQi6-Gm5u`$isz{@9!RlshmT*6yVCecB{HDJ-2EZJG?zO+1(tLa{fuf
z1uLBquCs&Zb1K`mDx&?RY~WuD4<@Ya;DBFCY;1o6r<R7Ybsxg`L-&76-{BjP4^H>O
zllJvSe_#i%2bFcO!+ekR3|ukM$<P2(h37n3hN-8|-Kc<77PMF?xX|9}OZrm<b8cdG
z*$DTj^ZS&*3KI7k8A&};`OSS;x88d@JN))c&9NN#VA_U29ym|3uP_h3R@VMr2>#DW
ze_t{zD|1Y04_tV|@oEbEqLV*D8oqzv&6cY$8(rEDSvdB?7sqSx`#nwvRbU!(>vAuc
zgOx&Co8;5oHu}Ji-@VT=g8xvKB|F19LLw`su=~RoKV4v+Q_IHIuy@F;hb1iFqWRDs
zex0%W-$__Zl#9j<u6ep8`Z&yCs!)Cw-ayAOU<SX4WTN+lNAAkG9D$ugbX)@A?~V#D
z^<c$syfxu){V$En8u0uH*|S&S`(Ly^YQgrQo9p9YmK*w+DzLo!4zDEmN3Fqx8mvsW
z)RX}?ml{4%fTdkFU(ABTSd8eD;8yP+EqCCr`}A65;9lLiz(P2vMOQ!`W`6Uo;~{)>
z$Km0<@cylRp^wS*|Ea~1e2Ynxcs=ZTMcPCXzPsy2e*?T6D}9&b>3^P;Zi96$Z+F`R
z|CR9j_8xxxn&*`myl87I`w2evoASy|cxJo#a6i1gheDj>#p*XEjlnNnzfK9lU3AQ<
zlkg_auNoxJd}$<g0bU=d+QbXj%ZzF)!#*WdWhC!smo-JtjpIdsv@bW@ou8A-2)iyu
zzugWWHNQB&4Gyw4PuK=mGF`mG3A>e<{osH<${H`@!35PBU4f!4u%f*|u@LO>k#Ch1
zUSHY$PYhnaHTaqVcFGbgl_Yh?Z(Et*cZDm|a<GhZ?k8G!Z}sfsgRrAbmc%AlNuh1y
zVb~(&#0({z{a<~h2CQ0dqO}1wdXmFv0NYD!WLQ%``|)woOCxwancDUrOv`qb)g0EA
zE*DyaO(LypE#cJG(u>Qmsl`DK2Y9FF2FfvbS3HZ43moRZVmbl)4NbiDfM12F4}686
zH$4~eg#{L5_YJ})Ze;`q!wEMTLR(;k#QiZ>VcD|9&NjG~a@+TK*yzt=!DsNm&7|=g
zFmHZ_&kI=pj*ogSJaFz{eF5zHr^~1iE^p-GD1u)`y(oAHi_C1_69d!!tgw3ya|_H}
zii0~O^DFA$h0QJT9`KDtXU|sn!<NiJFSzZGY12pe%gFsIL-^s&(7iw4Yk$veJ_>*O
z;B|Er9)6}aC=Rc$>r5`fTRInHq+kYDRZU7BjMrUJ(q@JAqjdf;z(RliWNw9TXQ?0G
z3V-3L8(BYy<I&7ryX~-ciOV5M)K6vIsn`h%M*OOuK|MI(GMgwI9UQ|k54Ti@y6%H}
zYSwap!a_Dj8|C1=LfNyw;5%DPwyVO!&6Jn=V165Re@$30J-hug{4s^I-2j%oJ!jSi
zJ14vsI|gfgiM{t8KC0Vw*$RGa(7nG79-a;vu!F;A&P4tP(?~}gaD~UdMCnz-IwjqM
zZt&eI-rQF(pVeo1Z@6RLNVp76O!rOohvg4_3wQ!&w+4+~hUa5vmG8q%NsSp-V402K
z$)#|FeA{F!sk7v8=fMvd%=DAtwuL?CZo!4JcDFL&C(d$zuftIlpVxC?w#rvWZouVE
zBc??#d(5kjNLV@9tn2|irm3+j8qRKTpsRp$&slMb!!rDT272MJ?rJwl_(eXo%y+oq
z`|dy%c$|i2d=#$U9@@qRUy$CRJ_pCr2%VsT6^}9JF2TMfe#La~FqPyy<#t@ZAHG@j
zM;`Ypc74CU8Q$@Hgkc<(2&Sgq1{=DbzCHkt2fwl5hX2!j^z$2BXf<BG1AcV6SNa{i
z%`>=06jmDHj%bBVhVE?L4`<l~Zhi&RQ|Nif!|$}8+t$LT7rYu(;oUnKM;^n~HJf*6
z!M}WU6rREg3bKBNuv}GK?Oj;#L4D^j_>y<S)?)bi{fRv%VgIpI+v{-4nCN~-*juaV
zaVk6%W*+4Z|7SFQFcPNN(m3P^^Rw~9MZx<-=M@6ryShcjVepOA!e5tQKJ|~cufVZ_
zJ<1XAFvpOnFFdEVKQkIG@MjG6gXv5hr;_3QPnc-Vz;}4d_0nO9-~;CFaA(=i{5&{d
zyU15-__~PbS^=D6th>(+9#FM8RthJX)Xba1D|ssvW$@D%Uv;eD&0>4ap22%|y=>Qq
zD-PH{u7T|rKJ74qM-HcNY=SQ~6cww&R~D)rTHq%X^{a>Bj;Q%(UGSyMov#nUEgP?#
z?tu&FmD!Zx@0(v%e}z+fGP`Brnt$4EgK){ECwmUU**>AQf8epeQ;$U98+Q`6Pr*N<
ze5obi>p5?{7Gar}O^v(YvOax*6?pT%el8K%S1Zz&nitp4&0cw2a35Vn$3{5MJA9T0
zu3LC5%mT}Aep9g(rVTpukqv%0*1L%Vel~DXY&&dL$<@jXxAaW*^1<0HA_A<i;XQFF
zVVI%5+jUhA{hRDza#HY+_t%%}uuf=goE%JR_Aa&$z8zXQr2(&QZvOfiPA^!|GJrXg
zN@PmlmlJz7*uhyIwS$Fl*O7q-X0XAnvo+2z)5q-p&ci}wxo(bd^r-f^(=eAxlY%Pj
z9rm)_8@AHl^h*g2%C_@&hesS)q($JRKNmwueWu5HU>Ceaic^%-WjbvfIbihwwkw|S
z{jZN%w!t@-9!a>uO(IXa7-35OqCPiRg=%vc1N?qe{fYxD%)zL+0X}IbEA0&DRG*ol
zgbM=R_gTYMIqpxFWzk+%u8AbyuZ5-Eei7!mdqUbAwyo*dH4QITsSH@c)hf3_$Kc)J
z?$Ww&+La>pVVI%QXh0thNM@fNg#BcOBFXxcz0F(R4@Y&?9ngkpf)h`Df-he=KA;S@
z$>xl_h0W_|<Vk+2gfq1ne(@mn`yse+S%~L3oTM*vNDb!Mc(=I{cE3<JBo7aFKJ3bb
zWfnWq)Zt_{m9TW!P1aJ4OrJo1AU+T_iWHmEgs0Loz6HT1Nrk$Ga8RT1Lksxb_V2}3
zaO#N?%9C)#w^J03u*oIC_j2%{hL$Z^|GP&&{*R;kj;H$j;{c8ZqJ$7xDLYw_N=C9*
z5(;HhvZ4@?h$thgl95p<;%g)!n^Z!{Ov%W~$c*gqd!65(&&T^*_k7kl=lwp{y*Fjx
z4uMJ<a{jdv^n-W8*EiM|yTao~84t3;QfrDA$o1HqT~kU8?~D{Hy8<5?iL~DYCwxe@
zv4tN^AD^0&!TA2xyW%oz_K_uN7Jeu^W_uC-@o3U=9M0xD#X{Qq%YE4P2X5{~ff>Hi
zmfX}2^NH{~Si>c+jm3K4uPG~K2Jq+M15@qrC1F$hQ}BhotVwO~e1A1Fxn8pZ|12Be
zPj5LZ$@#Dn|GDimEKwC;rv|&O6*s+y6$ihwXu_{rUiiL)1CA(G;L8=1w4Co8D}lde
zhdYq-Z^Gz4^%nkna%KlP|2I8N@^azZEDBXe;ZwufRylAm^;3HpcnjD5y)R)?_90es
zJzt&{Y<>Z&ozbWy&+FWoEzwEv>Ed8VDcIPWMkN8>uQ9?R0xL?4ZHk5i7x>@pgU@Z6
z%)1Y(x88Qx3lAr^xQD`{EhTJZJg8Rwxi=V&UuCNz<Hg^Xl|z2y^*Y*@cf)~fU!r|s
z!S^p%*<mT)m|a)l0;_c=(q8QDf3;5VH5QYdtZ@F_$a|Myo(nhM?}V+)(+^*Se_U+2
zyd6#vj#xblH*fgIPR6gLy3GH~;9x_|>Mii5bq`5h_*jJRF4Dg2P-2f3EU>HTJvAKl
z#Q&KJJoI+(3TZ!?mU%)MZoDtUK?NUY@c1SLb2k{ckoN02F9RfCwSlBv>lkl?Uxld)
z!!3TPHI#@Ca=rg208{^-zOsmT^V_f+JK-7L*-vY5U`4$!E9_n+?=lA;jc|3LfTv1#
zyOa3#l@i{y1K97mYr{k0BadbF^}>E3bYCg(_j8Vfc67s6owTo$@n5WyeNQd?Vy^23
zi3|35HhqM(HgWKi_=!Jj?71-OyC5MFziVRmDI4})u56k|Jim5edmP+4M%PA;M=Ie=
z#Uq&3K*@*1hrh2J4}!zb<+ZKA&Br}w0%7Cz0iRiTOYqQ<EAVyM89x$NHFFxh3`<b$
z7A0{H+7_wPaM@+L{UpBa*o9sr*zJN$`wYBhuwbJO=k2uJPtF(ZUew89cAbcJGT#lq
z7(OcwE3e9TkmE7!4y6}^tIaHLlelpGk5g>0jPht8iPPEN-M|9()X|EQIM2I!?R9C)
z7X!|cBz~jj_R<RM8W-9z2}_5T9~*+ThrV=@<J~@gYkC0osu>I<@pl5R4}B%=H8%#4
zxZtAC@Mn1S)J{nfXSilMlLOD5v*;%M=eTj;Sr&XD!0GNZyiaC1GZJ<&@i;(^f7Yqb
zEFA87<kv-xfBMoxo2ziMluih_{-JF_EY7gWJp*ZS{e{kb>eGVVSLQ>=eE$9O=O_*M
z^|^UzGT%Q6_1nz_^NK0U(ji{)DYlUVZoG4-hupt{w$J&7rLezi(I3hJ8!9(74Z@Mh
zEeE#3*@welK8IPnjAi-Z1+8x;&)}Au@;zk!_wa7%d;m{0mL1@O9|-KZ7X^zkJ?$dT
zZ^j%K<88S31EVw#9DK9E*#~yp(;To3ZuQfX@_;M;_=}VEhF>y$lnb1grr<~J#~8&(
zLkE~Cdqk8RALny%Mr(N8+URR9j<3qAw8a!=3|#OWfS+x+8)X3VEEsWB!wuWHPHDmY
zGSf95V7W3TCS_RWl9I!7xR2s>>mj(RvV|oL-rU%HUjp`jwWElvF9o%37zx8u{7=pY
z!AEvVH?zX@cb3yt;oqy14;kQ$X0KBk@XFQh*Oc(DQf^IF*hMJg+L9zbAGqP+%uaaU
z0fx4JaNy6Ksx+|co$i<kILI<+atrL<{z!ccZmrjdrGm{DY_<%-QBU%YZGxp(_7?ZS
zbEYnTR*)|gZT#o`6L$0c9=#4*j2G<t0Z#`-E6l^<4yRw&!6%weJs|Bn$97wPg1@jc
z$dmkIVN2Ce5q$N1StQ9nGWqYv6vA_w*A7j?Dy}Dl?!goDdk&I(gxCDQ_h4AuqqS!N
z@%6~1cz?L;*0zvkxTS;nPXHXwWYN0;?MpdMN;|{$X-hqH@W$l}x39v5pLGxJfG<7f
zQnQC&-MG<9&R0#Q_#;QyjOnW!4{YMsfBGUUDZSLU8?LXOeR&C%J)(D*<TC-EQyeVe
z(J$@;`{2#5Khlx*%e*`fj>4Y1of^)<v9fAMNj`Jyy)QRupXL|;kX$bYTfW}Y@J`wa
z1#Os5URu%&zVm_k5y@vhGB?c_!k^1!l#Jo7oxLi?@Z+(Nm~-&`y<VI3;nyY^%2sfu
zX|S;Y+&8x#YX|55%=vi?wqukXcY^h<m58dsG}2+mJzy8B)>pD{^xuM5Z`kWxC&eN7
z<s*iv05~^)C{P3zS>AV?<TvcBV{QB3oZWXHll;c?`-mww%q$u^83QvXjArn{TUuw-
zNPcswwnLl=R`Oqne*vGIYWLj%r)3%a&4NRNiZ^bC<0$mh^59aYH>YS|*X+#15_pg$
z_{X9I&QEIWbR~RbgRk%kZ2oOQqZZb>s+K(tC%Jr2Xn+f<<klu(L;l0F-{9x*fBk!5
z9-FNioiM9jZ*xC<{PC4!^1S|t3NvYggKiz18G%(_UQcU>+2s<n{=%)sZ2M~A4^_rV
zWPBBFT)R;Z*DRO*BlD5htj>uL*d()KoDJiHccBkO5bXHF{t*Mr_D@jV1>W&r-~$q;
z<GnEN48PgLBv0Z4F^xB@;P#aZ5j)^1^BwyvV7f;W2kBv5JFN*5*eNQimyB0;mhLAR
z!Gd1wA)8^JZ?%?sFwciVX<B$dnvGEhzOZ_<lZ;<JJ$fz2;pv$6Kr()9rG0w)7+l3;
zzMqWGx&c2_kHEvU)9tG;m6ybv9IV;vdg~wj=e^xqNqF<FjUr@zs<`vPRvcbZ4s0g#
zi`mn45h2*9e!Dk0UpnHJKl$Mv<;cAxKTKkOoX8Egaj-Rv!Rf9PdYtgeuZQmB{O5_u
zZ)bs{XxVs&;1<KwN+#HV=fS6LII*kGpANnov)zS^xBQjw`ZvRM?>1I9lK2o+>bf|t
zho`q=3%r(c-FOw&j+ot14=X$_+BpYLL|-cZLSCQo%5xh2TxrNq26HR^J2DC@ZmxP;
z0VhVej}5`GyJV~iVf(p~>|b!vtHdqEu$^QbLno~B)6Xm&o|k5BZiUrz1~z8GS2>^f
zH^V{iPi3XRT@xe6>*0gLuZ>gTS4Iq}AK_G{h_q;U=!3a!1$_A0(1}?1Ze>JmF)Tt+
z@$@bn-ta3l56*nbs7;=~pXR&Avq?N`;ISuMNaLQ920yzjsY;&T2O{scr@(nd>(LId
zx*KQ9W77VInj(4rcTx%uK7=VQyU7{B!3B5I!r<cKH@znCa9noL9azTiM~4E;R>JJ<
z3oEZO1t`Ofr`Z+V;lCF5_<7-nd3PzD;TMZ#4W!;PW$vkM2s4HEzAndj9Bn=lWD3WX
zmeQ8OZw#2XYrs8?MmnUP)>%>1tOSd2x%|5UKQFsKcnF@NJ2znsYsM(Pl!B@5y2f0D
z6^5lsMB(w5#*sSkS+U<Y_rk3wFCNl|d75S-x!}1pMJZXh)Gy1B6)wM}{!<P<FZ3~=
z5x&vbA}R#8y5GLO1^zhP)=KJ=|7E9lY=U3Jo#p3%|Ha!UuI<PE|MZy#Qs2zGbz5%*
zmZ*E|PU@dBM^zdB!Mj}^@UX$u6V~tk!hP{AHQV4_TYjq#z^Q-o*-85shIEU)@UY=b
z6{)8l%lll?0avYb*^~A^YUUij!;Jat%$wn=`M2UtFm3jF2@P!3KJ=>rwl6qzfdanX
z;b2n<>!dH_Z-VPjK4U9~6{p3|t)ia0LEu710WA85hMKfDwM!0t1Iyi3$eBm{P#zy+
zDok;`pMtbkh`9JJ1%9p1nm!9pY!VDifWx)=3`qN_OefiR*wTf0X#yTNI$aV9v)LtS
zllJ#-DqRkS;~GEDkot0M>&<*unCAD|_zc|T)oybY{^BkCh{Vm#8H`!OYxAK)Q!sDh
z>qJZVPD5VAFq}TsH>d?a5lIgw@t$bC7!CNY#1}~tmv_9@BL%ltCW(^xl*gY)30PvT
zyk!WsH#27CgClqL?j46))>~?L;M%aY&jYYf>o~&}`0<4YAIIRGJ=dzJVQbnfClZ%E
zc!&0{81l0n+_ofM@N#F#B%C@dy`9A819&!cz+r-Zv?R`Ow)9Oq94Go9m(<%omlds4
z!Pk>YGsy7<u2^PQz{i^FPLjCv(O1&B@W?Ok6mmS-J1hpX;rdfS+P`4q)&K0Dz>DvN
z69(ajm#sOI;PvZL$GhN@Yne|Y;MZE!5Bp#PY6rtGxL2W8z5~`&%KPpE?{d)$>w&lQ
zT@UeweNuH~+F|4Bat0?@@knW4C)}|bTIB$D=9G%H!a`O111`W7OXF?dV6Tr9ves}<
z#n{aT*yFEii6NX}e5|1bz8lGN*#KrSS8%U~l^3hTwP1>u*4(5$oAr}kb$EW&{No3B
z$BzM<L-4mpv8<$hYDeA9gYa&#$a1p3F*EG=Qykvqm1aZQtL2-7iNTAOiQCHHx`#{p
z0`QTwoPrAYo9HOzUN~3g`ME+kB~tt@3#@*%G`keOh+mFlhDAoQjNia-RBM;%V86S0
zYXz{d(uXWscuhYgH5>l$$o2{q{9NI=UM@UtX2(YX*O=U&dkM4U<fKjSLp?(Ft{Q1S
zM*sHABwQEaGVubwLu<x43`hFfJR<F>rED7p;UB^$6rR9q>vU1w@U)%c?`QDd87`Gh
zc<_Q?cs#5mbMey`SpN4y7uhdjsPgfuhd=D@4vc}1$nYI~4^y456eI1^LzO10;G>f%
zZBeix$6dEP__vE0KWT4En<bD7S18JV35O^5oES-mh5Z??k@k<fydI~))yY$w!SJ4<
zO5Qm5BY(IfX@7-oruh*}6JWoC?00#6j*gCipVdf}2Ek?{pVh<Q9QUmkZo%7_n7;VH
zEbEbZfpA#O314sc`-H98P1rmB!A2)|{QJ)ge>i^lM}Y%;l{WXJ7u<i5L;fr*X2kr=
z7f#l(oiK$xKMrboz^P%!WL4n<KRc92oabl!@G)5TX8JJMuY3Kb`SJl0*X=*(4L8I~
z@k+sB5;;AtaNY0qOPuho&`aNLz**Av931d+lDH3vE852;(-Hqw`f?rqs84s27Oqp@
ze2wf6zDui*n-RtF4Es5dIM1xQ&NQ6vq{2+%;i6&2t+2+E&AH@wRx(*>o8cqs)u&zH
z{;-C&EV%XZlSI=0VkX<5|6mRQ6IF72BWG4l-G$pOwgv~l8DCC43nuYZzP@|#k;~~$
z7h$tmEdg@<-P`_^T!LBTlYGeiw7A%)bOvs*T>VV;7h|f}!_8n_;gkHY;QG@;OuF#E
z#B<ktxY&1}r9QkzZn>U3Uq$|5d>Zh9BfPGa@VWLTXD#^5Kll1iFsDw?>=AhO$XoUX
zcy0ZYvI5-gzTJh47Y0LDKZ?VG=Ts|y!WK)}%u;X*d-6^)ex7@=+9m>Lh~-!OhUtGF
z+9L)lm@@2~gtId0)3{-kcTzTFesR&-_>UJ(at<$FA?+`y7qY{jsvlomhc8O{ZsdgN
z`{v82G2e-{ECy|bpV!gSZ-xEW#lA7X8FrU0u)wKzFUHcqOluBwJK@0I*ugC@^|re6
zys)a}irtC`*1sNgx%}`}_I-tGa2d78mi;i#7XKqt@Fqs?)6#I|?(Cqyus@&gt0VA^
z1=*-Jc>bTFjvCC@bf&u<?oE6CTo3*^Oye2>`zA6All{p3d#D7$;2_=Sjh67@w_W?M
zz|Z*O9mxKqp9Wv=Ww?BvpZPqz>>)UE0=9|j%DN0U@E%FfgEImz7?JhT808)t5%{{G
z>mwJKGFOdV2-ey^d(<92#=H1@MHuy;)4Tb-;JoMJr<Y(g>&Kt3!i_h3EV^Ls3P&4n
z7?+3nCw%=+?^ZWh<bF9vIXppgEzJjB4P<C2frm{7_1xitr-jU^u%pwcGKrsDW2#Ak
z-%T2iT!Z7Ya_Ph2Vp+M)n=rL2TV*KhIr`)_i3_PUtK5VIJNOz&|14i9&U?Z0UxPfz
z@r;$cTssTbOqy>euV**h^V$rKpeZjT{VRFYB%=#w$Zg+9USC*aIHCn7JaGDt9N)E)
z=KV78LGSuRvL3ZGvgnh78)*epNj#Erlg(cEX0d)0IUaqPICehxWJsEv6KtnOXF(5_
z=GBOhIB$PC(-zpMU{^D_9&{m0r)Pyw|6$nqo*d5?Ux(*&aNCg@PI5k8^%jl%f?fGi
zx7~qHUZj`phZVX_E``I)nb~XQaQ@A%=a1n(-2b$yV9ntNt0{12oe6Uy+$jG3a4sCb
z@4iJcyj#=vK@sd1JDlMN|9M=$>oZKJ#W?Q-zw-}sYlVXsPOTciteZ6Hdf<Y9gSq-}
z_%Hw0-(Y2<f6JV3%}U{+5%?A7x;hWc9u|0i8s1cG#jq@h&s$#RX;>q^Zeg|xxBoXS
zK#hDL??qPf5Ip(wG#djfJ@ov~2z($z><Sy4()eAx6>hoUVM*#Ox07mbe1p^8=@kjW
zZ&ms$D&ZLF8|mV3XW|#SYIt$>6qOuY_QNy$4SbDft1hXx6h&Be6u?`<hF_5Sm|&7N
z_fy!SW*}M@7XKw`p91^5e>Xw$AG3^=tT6at(9`a-@QLf+79(J37XO1bu-w|cqh4^6
zwTd9gpH@sPgT3JyAAwu$a7x_DXB&9HsLt63X7#PzX$Rk;eD&!L{HVi)O9$Tf$Lwqr
zTyR6yP7e-~Q7wprM+V+pmW166OSDKm&_~(1NE!~3f0;t^$)KAXkN*+C{)ucSOAS1v
zWV0{~kG~lxEr-7ZnpdU4d%m;;k$Ok!)n57xIKI8Lm*mgaX0P1$f$cW>mrua@OTW8r
z!O!c1*hoF2_XPKOBRH<8Xol1iPFxAhHi2&({is9g6Pyj7a}UF&2XuQ#J=G*lWK|vx
zF+M9t>a9xgj;iDQ_`cj`2`xpKB42E26sF(8GA#=mtF5hkfp466=TG+Uk`q7Y*2B-T
zo(dm=O;h(vm%)jbEnUcdpkds`;bPcr+fjD%`Yw|TcA0ShzCTuEKk4poW$q042IB`B
zX_(3^Ir%Yc9&T+w_K(a115U-k1qFu|$o|n_PET71Ond*M64`H>y7oCF2$oojA0qoj
zDgB<>e(;??9igOsx0?fnFYKR@B}Mj&&c9`^@_^@thQA5JwL7-EUxRBFi*AzrBEJ0<
zvQDu1-KpJVzbV(K_>TijGgk3w7u<i`KJx-xUOVkb_KzMNw70T`wfriW$^H?0O>Lhc
z%p%WfPTF5JYKk#{!w&XRk^Q3jf45F+!Kphor;+-&qJG#`4VdcuS6xyc5BzYnK?zog
zoSY`ti*;1*wgMb1Sr|+9gLGvnjvs_)vzz6~{?QCS>*4{JKP9%G><8`E_*5hY7hlP_
zyAkf7>UR=_dkS6uzaO%3Ia+)#oX{57yoURw_E!GDZupI}hUXkSt7rFu1Af+J#6|WO
zJ|>5m?u2veSl^TVjRlosyBOgwK|Ho(KcUgWp>Z4B_NjZ@ADFI#H;NkG)86-b93HCF
zQ`-cK*grWl2yePnR5Q01>!&-9pOSi#!^nj9ENpw$Sc7~X;S9_3qvNoggYFoqCly<F
z{~d*`qBlPv^}d=55A*s-`<VsV9(ec77TaDp`pT;=^1SF9g$Q@R-?)?fe!$6c4c+Z9
z<D{Wb6Fl=fFu4)FH!lB~)RzuKH=JsKTenZUkor<b%F%BX@R_Xz#iSk;J02EV2KTsK
zviby1>#FJ$z+)~dn@Iau>v+mHaDdp%fA8S^aVOtp!c8~o^gqDG*E2mb;Gp2^bER-p
z;6=F<m_<lCp46u(B;Jodfqw_hE0OvXJF`!A99-=2VW0@M4eC7~180g}2_>Hw8KN*6
z41)jCtTz|HX^fTeci_X6X`b0ITbietFPuGjiHo$)^dH%N6Xrd#?fpyGZ6c-V8r<nw
zcj-U)woHWlRhW*QIX@m&(9m7AgHOcOo=$|b^FF=41T&61tUrW5C){<lgrAmirNqD+
zTd0N4!H+JKYevAq_iILsVedePaWXz;gtweJ34i?g@~|I#;NK$_ZCFv^ME7l&wS=!;
z15O$r3%CI@Ec^~th8>?o2$AvkJoA=$c{rB(!?nw>-F#D_47_Q@iv0@Qq+@qk8t%?p
zs<;FjQA_RL2d6FEKW`7)3pVr%!|yhTY_W!&-^M)WgU4davM#_&cYiW)!?}e+ONQ{S
z%9o9-@ZIohNyc!H^NBk<V2Nims(P@D54ZYO*r_&Z_ynxy==qukwp`4UA^QQmeA=#*
zu!;4-AIIQo%Qd0(J$RmcKKdSpMaLUQ=3y#1)jec>3t2p7Gy`jRT3jLf4SU2;k%t}K
zzB7~gv3;q%egw9QJ6|jSZ{L)2uMegeY(FauYbClI`vsexwc5BF7V^>B@B_A9Y)sn&
z-#Oal)C&Ll+cV1qr+j!T{sk^-)Qn|;E5_~)*1<gnUlq2(VcHi`t6_;-2l~kT9wD@i
zsRA|#Jt9u_gHrcTG#A3Rm*bl$5%(MT6qFD91#)_l{T{=rbj@s7Qq6;t><`5$2e1DJ
zC-0emHv<d*v#)#(HyqHlnS)yt_1&MrSr_Z+CrG?b^5A3mYz^nDDfnOy$9OE9ryXZJ
z4F8wb;}il*F^DIQ6Pq;d4T3L!$LCgH`HuUko-psSSjZ?W$scO&0qfJgkm!R~t+cys
zVVO{Nk0E$iUHhR8Y}OsdMb=Bq#|OWifa4UnsY(2P^yED~Sn*SMRyXV>f9tCp>~?DT
z(Qgu8d>AMTKiy$_l*I39bAIB5t3SUIAaNahAq_ViTFw5Y3(mM&R7nHhNmD2w{pH!*
z@4gvcZcQ;K@t>nphx_<&e_wkLO8S5Ep2&0$e4_NPB<X(;O^9?I+#y-aLE>{P4I?%1
zQVvTM`F!Ai3VZjxh6N3Z(#iU6qR^!;2Nv7Rc!I>+<P}mwVI^5%A9B89suRqEVV6xe
z_LBboHC+027M`j2J^K%47!DD!gqPGF>yh<f!J|ixT5#8i6xq$V{yw?91v)VQMbpS_
z@K1fGg9`BTtuNY`Vg7fsx0K*-PtJ;S!uoa5%7@^psI?|;c+<sQp-14r=t5DlKK%Zy
zQ2PL!Ib+m7?(f-)^3k&J$|VLNDcIphi;*~ND*a#G0k|Q(YgigKv*7k2>%(7um(%yb
zYN>B|$$lJP#NWUB;eTgcyvXxfn{YEv5Z=bLg^N7zcFmNl!m!cd_wHu!Q<k7IKKQBG
z8TNDVLS5tu(*FMBm(Nach6@8DFKl_w%K0jM(}CmpUU=n08=pTM>k)N<3)bzv^dSJ2
z(hyQ6@ubR!&15_c8hS`c;`P=7*T{Za5v@%39{BRW34b!)3(LnOal)S4`}UIgLes7J
zJwLooQ5D(+2igh-a>H65PVWB&SI)TqNBZZ$yf2!}|1s(14y1o;&gBQm{NLzY`BN13
z_EudGgKJq99+Uo5`u>QQfJavylgatE(J0(TKHoHZr76h(PU(>ju!MEv?hYHm)Pg--
z<nu~59!uL=!_8rVvFBk<%jw(;a2Ut_zvT71xgSfq!lFIZndI|nTYW8WT!W=^?KV5Z
zHF7c~-Y_$B_IXG6&4u-izVJ`ElV#-da;yJZkKchOMx!`f;3r*f-$P(orEg#S;bJzu
zo%i82>FuJoU_-gKf3Yyf$i%@oIAH9J%oBLqcE0FG@TAQH-)C^HNyS7Ge6{zL;$v7z
zF)ZpS%&H-M={dZ^iDKa$eC@W1U?S`=(GdRu=9%15@)SNgwOQ{Q{3ne0Mm(%J)-v@S
zR#E8MmJG8$q<cOBJ1ccJ#K1r3+SSHjDuwEur2Pv@*C(^^uv^7<(*N+^M^xtFsrVGW
zXqZR$d%`*#w)t^i7%Y{Xq)5e${bwVeeUWgG`;oXUu;ITeV?l7a%=(e7@F7P-S@Jx0
z-AssPfhCod=WfHY8E55o!v4Sbl*swyJ--~q3-2DKqaf$|;Y!hgJ#c&On5G}BE^s<r
z6lR-hr1gS3_wA6}4@>-dWk{}<NzLmJS-940iRm<~R3i3P1!msgU~UShP&6^>zyl|@
znjeL4rkE!f!@{a6x7A?o>$6nXVYPND6-8L!?)?{Da5Jy2y$1ZCcrSed?Bud8tPG1;
zS7#@|SKMw>llZmLtdc^Q-bA#9j3=BE+UJVl6fSo;GXAXdyK@h~Y2#ZLj>8RWELFc@
z4#j95J@}}8j35mUz7M2<r-$?>qw-+g7I^RVlFcXJGgtB?_Q4Gw<UW%3yX<wUWk1Z=
zw3wm~Oa2x6r4IAwIG!hQi#rYeT5yCUR~vag9>;ecbA!28d>@kjZ2#sn=nhAQS-6lm
zQ<whV2>9r5p(Kf?Jez)aA0A*xJYxhesGV8PgJXn-car{UyjV^wfNM_vnmYxz?f97S
z6*gSvEzpHkS1;){!<`hoS|{QD7qJxmums&1T5b3{?V*%G(%#54k@SDt89U=S_*_+}
zIqCmxIhw@<_<88PR5G5c`9C>H$&2w-wCJJ=9Md5GZv$M%Rg|L&>j$^#(ZhPvznsYU
z?sLp}dK>(X?$=v#J*1pywAtWArVZE0_<s0d@;Ezu%ZTzF8Q+H`4yp6O7bAK6$awR<
z`pd{(cy)=ho{aBTn=Yw{!T0QBL&*5Pr)hCe9Nxbo)hY?s>OWMJgKgAIPm=L+?M_a>
zQTW$>!vr!uDg|nHtHQUpSecRWv7)r~mIl1SapnaX4>#_++HnHbP_)~_1eY{>@fef#
zFV0@x0Y9$V>3I&0m$&@02^L*rDL)V2SvVm>1E)LYvpK?6RBCyPyYc=CspePVDQ4-_
zWtdG&y}%Q`9m#QH9OjM|UG{-f=Qn(qgxjeaPThqKhH5A~V6S`h@)7W}rVQ;)*g7aT
zItEr&bglgYe{8?jkpNTpo@8!>wG25Aynv5cY>ldd1>{<<XTa98!yVPIinMq0Yj_|Y
zTeGlvRf}6b{LbWYe>v<U=G{;Rdoe0ny@FS7@iAA!&-SqX_Zoid_}Q@@?$gf{dJf+*
zvdL|PRSJDwQsM8FjC4QX{0*v-$#C-t)2yFx`F*w<PhknM&C~;MB-8gp@o=@UPWo?H
zsW$y~0xayYKs5>5d0#vh4eR_m@?sh;HkG{>0~aR^uPwrI%Hvv*u#=nc(-l}zJ)-*|
z+#+-P)Yjd&pTZRq!{F3A@8%d_`tN-b_hGilT^YPE#jTLZ5O{OR8J#`wfEM+aD0u1O
zxij)`_pRrlB%W0Acv%4!{gM(%`s*yH;_L}KsEO)7fQ6I;7`@?J#?qGL{EjsJbP(l3
zJyUS#X&oFM5Kt=wf3FJoORk?(hvp;vFo{y(e%%8D@Uq+Q8Cy6|HRtOBe6yR5;|;vH
zJA#n{_tS}!k3DkX9$tR-?Jy;m%jh52w1(A;4Q9DJr#=F!PmLZT_cQCsh*MO1P#@mW
ze}mlb-sAMI*AcIdmiS2Kf0d#8bTo*+xi3sZo}aKLI=fA9xJYAyG~C<3%*hJpHGl3t
z3?E#)<H-zv8Q~Wu<8|2zP0KELul*heGJeip^N?VNx9I!jlksxLm-*n`aCn;UJQ;sP
zqOFFwVO7&UWioyaD*jRugeOCKZ=1m1j8&8N!Z+wN8_vMOM(^hL!5TX>w_Cw8#e7C0
zaJF^6>3O(=J}FxYj#DW}u!nC}Ez(KA9TtK^j-<Vf>qR-ZbEmMd8|-Lb_f7_;8D=fN
z4iA<WT~mYEbvP+*!8%lQEh;emdaRZ|tdWbKIf6xxB;O<J-CHVOf;Hi;gU@$|!_ygW
z<V|5Jp6v5vK4!eR9A^U8+RA2=`P^UT@{9#MEvP(|1Ya`FIdK+tI(arQ1ukj~-{1sC
zl{(a9z}F?~EgfL}#C66jSZ7AA*cHCqv+dLyxcS)?wySV^XSZ|-yiA+7Cj{<Kn7#H6
zHXiN2br<ga-ECA0Ys7PfJ%NAiU5;slul%Pzng}<Ptb4S>?9Z>y6~N^le8t`H^5A2`
zH}Hy?a{M5yD)`>w3)~ZJ-#G@i#{DX-gKKM2N@w7VJruS5aI$a9+7gL>WD)3v&jy@(
zxDGF>Hh!OmS%#v%k$j~}=$FhS+~*_WNC#UnKN?<#J?~j%Gr`3&PgGZ7w?gXUY;awu
z!NS(PsNXpsyF>D!+;Jl#I@sD^R};yXjwEJgGsCgH#>_%+sct46BkUG+;G75?eS-2L
zJM6G{<%uNxpZ-b}E1d3O_(vN4{6c>h4;(#kRrWO8(!BJCy#B(?3x1~X4@C`C4tR`)
zQsW9-5cS)P2^L{pyYE6QEs;;+t13}vg5c{Z8TBNd^da^+$u}=~P3_$UQ{;a79R({t
zE%Dn4Z>MaNd<a|AuXpgmv(=m2Nd8)@^zk4!?AFIxkq9%E(?kit?cN%cFJNl_y74`*
z%1QT_bofx9_LBoJN6ddeUcq5O)T@$kP&Rc5$+v}-t7x?0`YS4{<#39d`$Y|S?~kJH
z53rY;;8iQQdFKi*$?vy*Z~Jl%UWhd<Y=Y@usNHgg8Sr~=-{D{Clbw$6<;SW&d*GGq
z$l*YEjOsqu5Zve|rFt8_n!@nr4?Hp)JO2PS$hVmL3r{Q^I28qd@R9z$2yd$WXpsTa
zZwuid^^fT-=A~)yv#$cVo8T$Bw@z<iRa(CpdU*MsdVM}TWFZ>D2uCg?-TVl5s|0`E
z3Fo~P>Zpb@#Ffu;!R_HU?zO_RWzSyhh3UfAhnrxF9GMm|_)2V??hL#${0R%G57ED6
z$(VwV2A@+=fFshMZe!xd^ZK?qP!;wXVR2x9+x-=6b>Pc#*W86*2l1i|LwGW+ubCef
z(kM|r4c}Sg43vd8Cm#y1fJZX}dZl4*o>m(hIK!%SOb0ffIh}qP4pEfR)PfZyyp&vE
zIq{3jrf_*S)oo9BT)WcbG(3ghb?|{(U;Lr9gEKSA%mZN~N@W`xSVHBo;yt+Su-8>z
znEL7F)d2X>Rv{LDxL8N?VKBT&LAT~UEI^ZG;15fOE!s!JO{>$xq&|52A~#nm{DD<3
zmDC6MBx@^Q!k3JrkCMM<lsoQH1h;%1S@MQ07ay^f!VwR`)JS`M^K|F;aLVDX4cB2~
z#uLmn@KKRl`d;wAL2Jja@C;==y(>IRO})Jt{<oj;xd%Krx9?paOmX3q)fHGP`s>9(
z*yibcCOJRxIeq2h@MdaRdk1*B*xz~zR=E5<pPbJnwMQiju+s)6S8~2pDx@uzVb}Y4
z<+d<Ynflue0vONs>^fu$PY!sl)4)e*iUQ2xZ|5UUGr~svIWrP);Bu?jZa9olL6OuC
z6%I|^5r(5WqTR{;*2jDCsw5nu!TpX0=AZPhI|Sz)bu6HQ{cozCJ`OjW`9n$W@2o#I
zxjL}Qp{;48epVb7<$M9Y)a&+_JfGpiC7&GOh%5hogu=`fiG6->fQJTuIJ`9X^+*V8
z#L1BC3!6#^_(#CsJ<g5#!6!z}{EUG;0@*IO!q*B?b|=EuWX|VYgFU9cd%b{@CJs3|
z!OAX+Trc6qj{${byj$TC_jm=Xy)t&QgU`_Ga^%5JUp=XCfZK#`yOzLKb(g&_z*PZB
ztmW|V-+~%aA6sN@bN&dA%KHXbz%D<>nQGzau$r${@TJbZj!p14>d<>+ymi=qgrOCF
zcB{GF92U6kV%rJ7_@Qe+>S>pEKg#Zf3sa*KNWD#(<tz0l>=LMXMiai~+nF&2$9dg*
zt_@QTvTXbZ2jwMq$iS_)M8{X)S)opTQjaTkzofQF5YKPP{$yd8_3OoZTi}U+OQWJN
zom$Eu6WrvRd7cYSl#CYL37<{u&E|oh2)73C!p|t!g&1Memqm5_uz-t}D>Lk{duh*p
z_^t5f^i|A<U)780WnsQulCxxflrUJmr~rH3XciuYt^OqIslgdzb8ck5WeOZj(}OP=
zuh@KrlMD_^pMm$dvb}DCzlGesX9aU}v!0BEDfb>!^@PjZcTkh{NtxBapDVCu#E>t^
z-#PsbO1i_E_r?$0gg0*JYsU}kDT&V*Pm_AfW`;m7(tfGJD%BM>7!ccS3mdN2Ta)#a
zfWqf$dw55}Pd2jN`ex&5Zw=3W&51OF_c5pBT!MSI*Qk>9+pb&c#ul*aCP^xiZ$57R
zzCikWl2x~m<d+NgZzPlB`TB-eg5>X+5>W%^;1;{%g9@;*jAW=WTw=dQM-QJH@LwVQ
zX&m}!ybX@m95uQMJGHuhUB`O)`<3!|a(uqek8n^SK4~mC>jTd&cHN&rTy*=STmUg=
za@RkY$K%ZXd+;EB?s@_~H1YO81T64AV_*s%|F|bS26pU|Iok*Gj{ay)fc<>`rjhk}
zmWtZG7jTo3)P*ki?PNkj8qB$ABD)8sFQFBB1zXJtIedp%TF%zJhI@MZ^E+VC?e%*~
z;2j${Tv}kshnyeF;BuDM(l&UDN(j$K_?OKl&jy%Q`bX6#`1O<WYLefj8mjMVf`!sp
z<ln*eww)H=;3v}ccizJTv^quI@Wk-cu`>9@{`+RV@a=>bVHNPOGFAQvoaOgX^DP|L
ztZFg_o11$*EQX(%6ug>+D??t<XTn)o2mUR>^M#fs*>H4TsveaP{-1=>ojDC2z1};u
z5x!!?e=Z$PnljYF4@W9}(?0$!9{!nwf60J@|4#BI!cH#_40FK84JhNn;q`@w`*>j!
zt@M79&s}lZaz_YG7tKr#h8GUV3W>sn+J>W{uq<z;pENAzqHBE<&i}FWK@JWdn9B5p
z8&zF+l;O9+!?xGqYWe6Y6?pkwNS+s*&9QZt4$Pi=S=14pkk_&>fFly<-JRgV$JKAo
zz&BMFBrn11AG=J=;TDre-ga<&jLDk|u+3KMSyR}B@AiTn+<q0`Mg<SMt{J$%?mnGM
zMzC88!>k)zO6#tA8ZLbls(TY&R5hS9fT^wHCw<}V3nSWwFkcL-W)RHV`mp*q+-)Tq
z76way7v820|71)59Su`lU#wMxHP~{3V&V2@VLOh&Y>HxiPvBYA-S?zn8W#zHR5<rt
z?l&2@kmHqaHk|q8pq?PC-<?{W2Omv%A1e&^Q44XE!W{Z@^~^9ABh`lYuz$QaD=QpR
z7ij(&woIl=D&)oImtML(oPdAt%`nV|$3*)N|As^B(^n(mh-XgcXW+4Gr}M&LN`-dX
zKQP~B>vsyUW0T1;wJ_$-R>|w~@I%ozPuCH@$aH+QiwDogGFR(v#2-5AtN(&8Sbr50
zf%oq?a>omHX`))!gMF<{<gdd$@yA}M!E8FWh0Wl=8!v<n;46PJdrrf>j=#QYz_-Hv
z7**h7Qj~coNIX5iMhUhxl{-V?mlkg=iohaLGV&z86j6~Q1Peyl_Nl{CVSc?#@ZlTE
zAM|0T<hq#c@E*pi4kWIkb-Q+n8|%ld0(vAa_5GXg0(`E+V3zc6Q<3i62;6*^PF4qI
z8Go5M1lz?Q=v0B%22OQ1!H%h!<=XI<hs6)S!W>gg7fAfonh;$TthH*LO8T2}>QPlW
z{O(?$juM<5FEjHJHhGDEnT72fv(i&xD(9Y7Mfkau%FjsnWx`wm>90i2hp2EkBA)Rq
ziSNJ6Pjd_QX0}c`4i8x7l;4E)O}viF!?Zp0GR|<@p5j1dc;tH0A4fPL>#OJ?_(b8N
z)j7E2%bKGCY&w5`r#XBpk&#&z=AZi$t_vSxlsI(+KHYgwRU2LxP+F2A?GF`E9ETrt
zeu|fYO`dLcQiSj982r5#X3CKjmV-rUZSM-gEfW1bGVobZH!&VKntjLP{qT#+f4`9X
zC;07k8WGsNd@~0ly!B*OH6Prm=v&MTZ@SAP$qgG*L~PywpJ*}}V}<)FDbqH=5(({R
znBZ;G^fR-#KUHIxS?J(TQ=SjzVV)=Uhc?2_|NH~H;n%yfW>>gyzwwXo_rj@O-0XAk
z`x_%{pWwItms%&_)lQAKb+C=-%)$_SC_pJA7oIOV_U0F?#2Tmd2BvyF{QU<!wk=5h
zG0a$_@UR(fZ~D=h2(xcne_Ibza#l73z-j4bZtvj^20G`vuzrcyi4s_I`R8UEc>eVR
zx;OA!MxHcV;>yUO40v#^S3w=l-9eF(0@Fxv^=QI6Ob2CS;o<T!PBLDn#Jrx4gs;+1
zmGZ#_lEQ(3@X`kFr3K6v_lI98`M^vzFXETsyCP$Y4sf$;b?sZ&_(4$q1vsbTmmQf8
zbz20ZwP7dsb0K8?u+gda#Bn&u&ryV|H*9O12j$={{^Uz?u)qVEr;@O&+H>k7aEEY;
zj}XjOK9$4{?=x^Yyc=GioKWC|tDYTB=Y;>bg@@3=qh4DtvcR<qfg;=B@^k$y+hN_#
z-R`ScFIEl}MbN_1PncOL5Py3%acv`PJey%PiFj;`NAW5r_CppPQT~OqxF@eJ!&}oW
z(?(#H19f7v@S$aOb+SG+3Q-%JhS?~$kN3m6H~8?m7VL*V{d?~>{Q61C>0#Jw<*igV
zEPwgdj$T;c&!gsF@U|1-w>#kn**x5h@VzfiifyoE*L+zsJQcD$*9>>47N4(!w+wW?
zu804;3)}DozH`ONz81cBOE3LBtn%W7z&m(En@h6>W;XVXE`v*2;~y5l%||X86u@e~
z&L1d(xh$z@-@v~A@ph2>AZYi<`%Ktm)1W8G4?1^*dS}2D{7-oPgBNmL<Wk_#FBTP9
zu$~+H)DzfGh5aJQKX#8(X2!u3hg&z2{KMTR>wFB{u<>3-GQ6qf5l<wXta(i98GK4w
zy*&(0wOg2sgP)(5d~gT;ypkS~0FT`NtrY+>xSW%D2s_k0^>KnrMNM~*_$5~>Sw~o)
zV@vS^xH&Q}Q3?L9FwP?dHXZ64JO*DrJK03~zyFIZyBI9g7W9f7Ut2<yl{l<U)4Qb<
zj{HyJ2QTbB)~i_szpXXey$7C8I`W+4J1*)&u{&Uo?GpVBFvA-f{GTc6d&feLw!<Ay
zw0BU#?RCAodSIP9Hs%{(>JUZuA$V%yd&}%D+z$=R`Q-k2#W%HU9$uw)Wgz*@SLcoT
zz3@wexc}!j;+!lo{qQZWWp$F@WIEe!YlD3c<lG_ojg0*@<90aHm#LTJHz90h!By~g
zUz!RI*eArQsT$Tl?ZmzZE}P!BF&jQvsWvYHFLdtHc?B~I<QPc9qA~i_Pf7bz;*sQe
zG-}kQdk$M4iW^meGh&91hQniK%AYjg5smJ^NcdPo7M}rJKi<3I2QPiuYDL!jtz#|6
z1K?*BH%dr8z_;U=hZDRbVJ6lF-V!QSaRpxBxG>`c2XQdTTEp-Eq)58KEIo@iFTk@S
zEcd)&g|5a~BbZuUv(68;ntUUF8ou+sbZ-bOYVMP#34hJ%w<hcV){=9}+Hicv=`ynZ
zKbTrpa2!@Iyks5^>k22XslnIzy9%Dc8*KEi$-(VTe`m@1KUh|@>@aL(Zl_Py|KEaq
zu1mv|an2KD{a@~Vrcws}J^x#SjCV4@v$BG)<kQhRmGHH?dLLo<yzlv5vfhsmU_Q(T
zul%vRRS%1gjQH(^V~%umw7^3x`;KzKyO`QM$@>4R8C4(;%+;dTO4k1?vEIwu;ia4-
zOam~Nlb#AQtTk2ONY?vdm4Rz?aKhY6x=DEEt+CoR_{___HuG?S(Xht?2kL+H!^hTP
z_7ATsmf!|$n?!1i_X73Km%hQ4Wo3ms;DnGoo>rLc(BZT6aFC5|O%6O_A?d*mo9aFF
z&4L#f(>NL7XxWX9k+9b3@R(h2=9P<k!{KypilfZ1DEFJ~S7FhOFAKTg*bKf}CwOvh
z$60(PPKm<9VCgh`$7e*2#Dje6UK_&^|DEh6{jsB;>Q{o_9N$pP2{T8zCMduxnYI=r
z{-HbKix6CF{O>S{C-iXL5rA(m82=*ge`7+Ta66pzrlN%O@3up&^ES9MlFN$3M~<{S
zSzyQKNzPfzllXoa_cL=a&$ZHClJ9udxQG0L7Y(~gNxnmQbgxP`eCma?HHj~e(Tx_t
z(G)eFJaBPn?XyBy<0=~u8@!9*h>Sb@I%X|<Km301y!Umu=4m1AL0Erk@RAwam?`5=
z@|}>2n{v*=yA1wzlKI;2O>mDotoK2zkmNUINzVkdV4=A&MpIZQSt;QNoa3`m&jOxq
zHR?YK`|khn@)9h4_djMK_?2O!zcXAfS!^l-Z;O1;<pI<19BSMJzwQrVC;1F5%W*bt
zm?~M{EfBtWHUAz1Z0~*eRS5j;b!iJDoK-+U_W<_v;nmy#f8y#<Bl!y#-QLJe@Y=W3
zrzC$FRQ1|4zZ2J|=6cr)_&t}G&LZ5qt}I9L7dycV-u>{K$^pg#IMMZN^&o5>_{y;y
zUXOn$*AD9{S--4?)ulpwf53yc#W#@rrTA0cY#n^?Q>#J~yyd?aN4~%nAt`Y`;M=dN
zUX{aEr{&wodak}JXC7akU->PLUSbGVJz4Jf8ZMoRbr^#^>R#r(fp_QHf1HI!veJc8
zVX3H5$|d;kl}P88aA0GZIThBEhSj$R;^0?@B=Lp*xE@V5q6zTi{H7TO*y+B`lQ4Mi
zsN;SXnBtG<Py}ows1nQt^Y7Yd?g#rmOMK4<TbK7dyA8*myT&65pF5kub`8$5t~Ql`
z<+T0JdBBB<3Hfp`<r&2mTR2Iid+I1`7sbrs0EZ8})h77~la6ESdH6qNqY;un>`GPK
zWdl=RmN-uGsX_n22ouu&l%=mRd{Hp}+ZniZO}^tC9H2=RbrL=p+~{Ei$1*gvpMuAp
zXEocw^;Ycnb>RcC3RfKAE1E;!_2HBJob_&SZoS9@4cN~w!`1^HXr2F|1#i6-RP77z
zzbpGt1?E=WVdW41$))<K3UlQDEeU}SKa`JFfNA<~oC$;d`P=wN`!BSI7?R*9OX{v8
zFk5zI<`Z~lP0JqAe&9kfbvn!`McFM&UhlH^#eeXg;?H{z!5Z-!DBi&AM*q4cVb$$-
z5)0tRYZd$l;D6~C7s_Gp+Www>a81x)bQSFOFiSuj{`26&R4uF!@%fh^9QpHD_-DA=
z($a~vFOb`CybG3m;~~Tkznt^w?Sa1)D?5|+SsE7d!!VV?DPdmN$@%+_QJBew>k1z{
zCRKD`24-Xz71;&5y%TT#2M1fvT;YQ4=C_Nj!KYPML|Ea{$$&Zv5xhTh*jo-b@`?H_
zMwnhd+=UqyVkqX?0kgCk7qP(fp^vX~!W$J0UAMv3)^w~qu)`on@piaUfBcFd%zBH-
zjTY{RFx@5s+tNIvB<=6za=$+e>n=x?Y=-+Ug;*VhWxCE#k@klZ97|Q<n)TzQl(2S5
z+Zhd*VZBw8wEt@#&u|8Q@A-DaIvesM3aTtKcz4V#Ez&;v#sKvN*hAT3;}YW0o|-Rg
z;N-%|s5Mx%aGRM2yjt{8dmi=@by@I)-!nzrUxdGnpEC4^-yFBn`3o1<<xd5`X_9|`
z%)x$-Zlp%TcS=ehOu~;wI#goe9R0wKX_#`REa?f%K&$<56h^^GJ_Ua3*twguPp9df
z&V#3J#{V3GV-Cwl6u@6u_S=oYj}@s@Yv2Z-0lq=_^^jR#Evzb_G5-f%2;4B!2dgv8
zz8Zila?K+LVX1cM&*N}>P~Y-qQRK_E&4Is(RpsMoVKYmCr{w)PACztsg<azcO^0FY
zUe;$~uwZ7-26B8<mfF=8@X4;TWfO3==}Sv%SZY`{LLKK<mp)SV<vx7AJ4x`H9&E5m
z8}|bK;%<J)8}6qa&CwCV{q$3cmyACG`vP_K;n7N$XTk8>k2rGJJW9;WALgix+LZ`<
z_nnm_@u<cu(E^x7V%sPg-}v?PYTv@z73!5i@O^sQA5HLN@c4BSKfjH}qZLjZNPZLo
z+mtr;{)2N3<@CvTsC(k7?*g2v6T(m83y%UK826)IB)7AhygyIQUa=kUZ)evx<o%~p
zWR8l#7rxIqlDL6VTZcFt>fg6~2acUN5UB+3Q9Ad=7dG15BBlZ>P=5>|aU0Rzqvo)>
z@<A06KmX3>=Q)^B{UtkzS4D^X@qisxw>A5~ORofjy<indS}W4ul7-s}p|F>{Eju}%
zIw3rrVes+h!Aa5|nQ)=8RQU0k!!K{Zo1Rw(r^CME@&|9hlJwk)#c)_{@Z@#)bZlW~
zDTz-qe<b}``dl{F279O*`;fRrmvP8<*g13L6p25mG>xBz58T?lmBbGj%^aMC4U(i1
zNPo_p)EeI?j{N7N^(k_F_0RT(P{Ye5RH7svaJ4U<7jCo=>UV=nDLm!&z#84kE}n2K
zcf+_e?E1|@#0BQudp=YazF|&JN#cQaR*&^znns?YtFY$GKe>~zTXb6l=}*wmw1xw$
z8qlpy;$i;+e_w_NePnIC;Adk31`+TugA}(b+;y*HA_{(ZjN%{p`zPpf*D~NodefQY
z{XdJVCS<`zKke$t`P>}RwfQS76|8%k^#6mB%kw5U*0AI0O?Y<4CWaZ9Gv(D8cX<A6
zeC9v6gg%=(02a!$|12nh?`P1yT0zdo^%N?55qRq@9?n=eU%)9n9JY1#xsVJm+^MCz
z2M7Mhx=q#x9cv=)S+J`#>*pMp-p}WI27H}4CZz!8rdJrQhO5^$jg`SF<sn*C@R7F4
z8}DGpnVj_|_{nwY_qA|T|D4rVSe>)~aU(o3pL%r|rZF%dAnT(cwxO0mc>0vATPNJQ
zN*O!{*C^+e_QU07@_%MvvA%enVYn;*<dcn(m~Zaxik^gX4enA=!8_h>=bwfD@x&D}
z!5eo+UtWe^F4nMbhu<y5tggdb<=Yx~;UWfJHEOK)Vhz_MxM96J65r_HZCj{+?}s%E
zOSze0dkYbbeefOIu{m~FJ3q%n75@CuM{zf-eE4(GF*xO5EgM;{+Ky_}n!$$ztu4jj
z{-krFXJEzcc4rh}HHqTq58%)_=4WcK=Fj(=qu}u3%>oW^!qcfNRw+E6NB4J~hdF=F
zX|u!c`d!;yVQGu0_l7WoXJEJ^Ol7iUZ4CDhJ-9^Taixb{oZ-9w;<-uu>LL7&D(sl?
zdfo+|(DUaBg;gbTvdQ~3p9n1rgN;NR?~=GWYt83W5*L1_K;lw~U+vT3So<+H63=0x
z^?C>2{?*c855MGQ-1z~1IGSYP437%+er|)ezV>0Yg`@u)vi}Y*hv!c^!IP)By{6$K
z4I!zQ;AHc?J7-}QrE>>Ke}jVme%>gJ|MzGVowxx1rk=N_hOgeB^tFSx_PyuX312%~
zBV!FSx7U<$z{^U>A8la2bI~rMu#Vf=n-;J{-J|XM;k3wu+sNM=T08$i0hVH!cyA6L
z>^*;88Md~sGqQpet0i`xgxQrm=}lodPVs_M@U8}v#B=b2|Ca49!V|M=h9<DsjRhK8
zxVofgfaF8J3*VPrhf}0|AD@D`*DB0zz&g^_`_90JheNmDgN0TW`wU>F7lGN~@Y4f5
zuEy|vd4u!Gu)UtMh(5gOiYDbVxUj;w#1Ni&v!mcOY$nokRR^ZBpgWZhd$xX}B7g6K
z!8e+Z@Nk4?ktR&%QlI(>=0BT#{{+l<eJQ^e){NMzN#Z43lZFHE&8Ms#y0C-vTbh3)
zzBe$E+@I<C|E12uWnpu6BwiZQp1=J7saKowlK7Hnogp)P?_k>^>CZ6Rto1%vHf{ea
zRai{nH-$LNHhi#I4_@2nY<~j&Hgh|O<cImct!NBkF2AQ4q<``!2d}!p_}rEy>ED&)
z?+hMrH5JqClkms8#-6b-hnmVEZP?pZi|sKiemU5TobS>v?{1aCTXeD*Nq<+A3%M)c
z&`Rn9<ov4b6$$zU7arywCH-OC$0N`WFR$FAKMnhY-iz2MgXf>=(L2(gP62;0YS`yz
zx!C{jmuttSC18Wx!hZ68d9M#eNW+$?%@OzEv-{t(u*jmG&?(Rn2cNj~%7Y1Jwba<1
z2`|TVXd1!qopT-XV8Q(2|4zbTyw|>$!;MrcPTp{>=P2JtctO0S(GxaG|GoMdzTp$x
zb02>9$XcTn9{herITB`*^4#+iruCyfkq+nOEnn_~(`lM=Q(@yv927%v+zUmULfH1%
z6RioD%WlJ`H*oy&=gz;dq331q4>0$XvEUM%dtJ2q9eiin<;n_d5Ohwi9xi;pTD$@E
z2<>LJ_)qY70{6zvu+c%y*+%%2UWVRQxTk*Ar~&@_a{d=1y!zaHOAow%$6Zl&_|!Ez
z$4*%IQJ&i__}qxx#{qcrFO>>D`1r<t!9KW4?ivk0ob_d!|0sOQYO~=!m`D0e{}9X&
zC7-Y#9yRDbIt8=GHvE=>M<{)h$KjBtYMzH-Q@yW-Yw$0t&T3_N`(gY1WjNso_txWZ
z{-sEUjR$ePJKmUR!&8X@S1Dn!(B&t(@F=f#JuUo@=E0v+aN5((eblgAWcL9R_@C$c
z9R`?p%-#1KETwvHm>#ass`+FI*STaJV<GWCOJ-X*I7sF>6I@=LZ*C7e(HX6Az|k%G
zX{7#??(p4WCoJ<TeaaPXQ<*E`g?-wOAGraCO}OpihWScT0&c=<yP~cMz&|1tzXrgf
zjCAdL;6Uw^op<5x2mF%%<LJKQx%&P%fG0)B$fi<4NwPA^CS(;dQW+U3v&@XX_DUfu
zGNM65g=`|(Ba%&4iDXMw==Zw6KcA2H`}4W?o_p@S=Y7s+@Wapk$ypHdT|u3R(Z^xq
zsLUK<KFl@y-Hb3i#HF$t4@Ze{Ul4>pFCGa?hRK$7cFMz6GPPaL;diAK7BcWlkJB6(
zuwYupdu2H8`M^zLzD+Y%;?P<6cad&BF(3DDTHQkf7Oh&@EP_K+at2i4w1>-)<*;3A
zTf}8}LMLh9BkXL>w_pJOr9I4D2dCtmQ8$I}zin`6g{i|IW*fmFJzq&W;5NZ*Q+t?E
zFjTV-&ePcZU<2<;V0|<IE4?7!?+mxM)sBwAp_F=eZ^O?u7M&+x%4RDeKiEv_Y2_?j
zWcxbG8?HAU)LDX`q?9X1!p?gllh@%K&&`YnaBx?T;5Pi5gY0Sw%po4(xf}DDh7t-D
ziE!<rL@ha-LZ`(191aj(prM8JoIUTP!OVJE&xrX^R?)jB^57y(s#$jU;Fp{SZ(tP`
zcVA+Dm2>wi`6{@kQKIE2Y&YEXv;uaJ$~QRyrw4q}|3t*oU9&{sQwd8&&G1mc>EEL8
z(BceTC#<x!DI*Q%YEwIXhChF=4UvV7{_Sq<gH<WRz9_@anVctkVD(0W1FG<m9M+Iw
zxT*EP4K3I+Rq*E^9JpM)p$iWbuqDsHb$R!dufo^9^KDJRLHjKujbWNU2QMwbwM7C0
z#C-WDd%lu+c<&k&_YK&wYd`%OtmxS5K+M0}#dA6TftkZfONjaRUAhdPw%}wb?F&9|
zSv^xEkzYY3nLy0vA8y<^wc|AAm*jST4}}NZx74-~&ma5Ee;*cX|M{E@@uAhKJJCdb
z^YE@+Ft^jY>R9-aYop0tSis76Z!+v&R$4^?)0MazJb`1&p0d%ytM^o%ro$6z5uUWL
z+q<*VFX10gT)J4`-OMAtMX+SH{39ZNZ1H<@2|TOJy}%Cp`R6fxfagDw>afE9#L7)S
z!fyFLULA(NG8z2&3?EO7x7!bwdEJofgs-%_)pNl|5ANt5gQ>S!LOEb_F}6eF@Sywh
z*il$6;cdYZ95omCoD&{2|GZ7C=PbW5**XrpIwz@Z!Y{5JHaP~@F;&NG!!53B#e(pe
zKL*FCu^!Y^@8H1)Ppbtw)54ydN}VFG_b(O-4){)KR_sYQYEe^{SdYrQe0NR^o=jtY
zatwA&=G8g{7yD@cJPsR0t!GNX=E>jxI}JbDrEDV(C!FMIl!WJH8ER$WiNra2Vm<8g
zt$c22c#KrcSP3@S_V!kSb1wXQsR4g;XB$y~Z%3*xorhzL#!sumCB;lK`mhM6=i_tm
z;u_TfBbaWbGvgZk=iQK%1$<({oZJNVh*I9=4!h1P3ueK(N3WFLhK28aXv>E0{@(rF
z1LpRr75fCU9;Qxkg2Ud*b+^M|=dau$;@5BaeESLe&lvC%@gv7J{HEcVb7!jE;3gUm
zu}ygKlz`hUI8b(}Ya4E74b>;&8DfIpSkB<{9&S#QM7(U~r5`(7p=q4z3~Q`&i=BYm
zSLO7G^~6iO$z3PmYt$#Fi2Zf@&KfEUtL@(N#2WSri#VnL=UiD8A=V=WmMI5yV58LL
zNh|m`gO8^kENiPMLgee(%XAsRk9+AR&ET=+H_oPTRo;%fME=0<6UT1D4K@uzrm*qv
zq<SZ~Ah5KKXwS7YR?h(VYM8qx(cadqA#A}g-MAes@qTYzNIyM-mBqPhFT*sJx9uLo
zHSO$|P2e53W)8iA-5i>!FTt8Um#T8$@^dxMuEGnEolfuJArae4dhm%`GV~wdNe!zR
zLpY?jr0z3p9YFR}2hJ4Wyxs}Z3kOc?!cu!iDhJ^m4-chj!e1MdOorjOll#Sp{Hi+q
z1OwdA_hw2BR^H;yTZD5P`9+ER6wdFI8?anb`A?!hKB-oEwFzsyFaD3nXV<Sbrk2F@
z|5a9m=)c=`oLjUo56%0#L_XKo5d&6OKu=Cs2KF+NSz(8tW>$E~!BldaT3qlllcW%F
zee@l>G|vMUJt*=du8+_EF{=r{=Q#xhPr<b94nKupqq0{XVz5(!fZ`cg*o{L#06u&%
za7+rmC;Zr52%e8nl2U>>HeALyVQ&6O4>j0*bNU1~TsxiFsRN5p=#3tLHQN6;>A?*r
zoB0mG20KeyjbOHfh!{Hf_-|Dzb2yHaWSAb_o3;144P4Ge_m{Z8bPRq{bb=MtGjcbG
z`^zfXlr<dt$$)JJzG?1!>=vw<x!g7d7uRHcvVz@ao=FVCF3!96+QHYnRA>9(L+oer
zE#R!XsZTp#rkmGvh<vkgwM*@=heh<NF?>6HwTigEMoo8$5%~tyS+13^89(XQD{#`D
z%;-!w`-e&?vHz?EmZ}+WqLGs+5&sopb;}>m^XPzk0yS`{Z#<7LJh64Js|?;y$;i42
z&m^_ZG{6%flcty9S%HS=D!6xhKu{WHWYpf<4D;q3pEv{mYg5jzhMxuA&?m;{Hz{2Y
zj=`rwSDuW+Ji8v;nS#qw3&?t4w}Ef(=3xGxa@u`xg27+vRrtvPwp|@?uKtmnb@*4%
z^Yfjskg^onPAQB}#_o_1^}=+v>5E-(ye)}F8;twU_FnkZ+~;kgzBo9Pm`n@vKEABl
z1Ydnuu)+d&D{^mE!&+0FvFz|;njGa?ctK=t?g)Hg#Bsd>cKb{j&I5mKSyQYc9L_U&
z5{|1WT_M&Jqod`5gy18C4flxr;!Cb)6yS=3elmryeP?*@S-4nrPY978Gngr?39IB+
zNan(Wm6h!mV3KXcz<k(Ba^UzS*e7C1A{#y(G}~|)UfH<g_ZsGPp*Ug=TjU=R%YXxq
zvVX9IUpAd=d<7?IU377U>svm1JtyMsX7uiGl$$|aI{YgCKRaJIJayUq3Cw;rj4}YG
zu=V(u24^m0Sl)++%IMvQ`Y!2b?#>8!*ULv$NpK8Bo6#fq^}!R)u`ro+_eKINC3=dC
z$UnV8`!);CDpj`+gCA|MOuvDv$XkmZz&)<w%EfT)l8#LfTtp@Qy%fG<_T^m&Y_*{$
z^ATnU{le}6`<&PCXn@J3v@E^g=asgd?XYa2LW>>j9Hmd&4V&kbF%t7LltFi_hhTos
zRIh8WZ?9hZH`uw5v5uHe2|Mrp?-$H$r#GSr^HTHoFTww4YIuqHh)l+dr~blz`&3qh
z;S|sJuXamgerEJrjv#zoB1U@)@wH$bPkOj^qN;%$@$%ZgLUiy%%R~Erh?9=z#FM~H
zEVNm>5P#Zha)Fqi^Eo?oVH5H971V_baO)TKFcQSYtQu_R;KRzyLhFbhF5@^f319TD
z|3vK1r1VhtI4q|A(D^s~__o-+A^6j0seLQ(tJXESL0EZ?w0IWg9o6~W2`f~-(p!Li
znb==-z<R=t8<TMR9v9<gxKy1XfoKnV76rye*pi`7hG?&czmgh=_1IHxu7l(7YLS9i
z1+2#M_h=XFuafq&0M00guI+)}R_Yq$!sN{iboFpLWf4Udy!bTzbtCK{a0h>MhkEkF
zk#*wy4~Y-)rNGB!-#jXVrO9#<i1}M3>7(C>{=?A1q!|TYzn9~a0}D`+l19Q753P7!
zz<=J@7lpv2$9{gyfaeEwxrzDxX(dA%qJN%}`PfU$H;XcNWfT3A;zW4_F+a_9GEC<o
ztZv7rNX$>qog<l#h6PUXuHS;=3kqYy;9GhLIXB@6R$h^C*l0P?!U|R!9Ow;%U;LqB
zF@-tqsk(;1@eT}aMzF%ub#@>4msXIUKKv}fyu=S4c^Y+E7Y-()H}QZ4d0kVL;Ox<!
z1aCN7@ScGp92plN>jrE5XY>9P?DS5;!wc4u40aKQP2P@iIK!GF9TEFsd6kY8PuNyq
zO_>e$^1PGm1Ycm{9~;K{k__AVU}FEyj?En(gWIpX9gT$dm7QO$fjzTT^b_GUT5|b%
z_`e4^Z=b=F9~Um?!V#St!LQ)Q-p`-q!^+AQWBIUJ|GQgpaCKg?{(D%0!?+|K?)<nX
zw+_CP*~xJaj(NH7S2MgI=yBsdoG$63)Co7GykQT7m*srMi0ijYN!KD6Hd2|D8ir&0
z1DJhapZs5aqcC;aF;hQSn*Z{tDVT5gg}W^r`dXH95!R$sthR^eir-oi*U!dS&@of^
z(0KThZ8%2z&}}m~`1X!<GF)$V|LON!guU6ni0p-J1g1Ik;cvVu;f%0VE<=zC9Ij2(
zzy_B+PyeI}FO2$f9)WkwG*5`YWX5!B$Kj_+27+QRg?H#h5m?{dH0~%&u5<E%1kA%Q
zImAnNIb%W&{&Rh3g&uBR*!}(-+;!bVjtREl_Gi(CBhE@1{$s{^`1P9EOYpVKf;1Au
zJ&!A@UW3`ckOj3No*9V$)gXNA)~C;KHAD2YC)^UC;oAfczdIHBAN-eULZSf{WPW|p
z6;>`)YCa23&;$#-fL&V|{T1NrpQk&MU<=I;Eab3jiGEQoyz4^0DFs|(vqo16r@dhs
z8fU`&kCK9;9_}|h!ZQgA+2p#n!50{>g!RGx8@uy5Vf%mPUk2c^!8cT2VJW(BiB@>;
z&(*VI@JZ=tpEh`p#<M3=u%JDsNCT{D@lkRH_AKV{Y=YCy*vBoyw#}7M?_i;dGV4uv
z;7&z<AzX3fX6-H++&}7e9(IB6ypEMW0K0tS=yQa1>xO<Xz+#tk$y8v$``Y1LaL$X7
z%CqobUbM)5xJi3Z@(}F8{Z57#{xrk>`vB~AbN<^Q`0)un)=WmUZ+cFO8oZWP^En+h
zvFTM*fM01HX)uD_6JP3Ih4t-neXhU*VhtM?;Q-IJ9054-@$wUMc&7f=b$)nTiCXCj
zEMa*^X`KNsp7OVYKUNBCt-$`*H;!4t1=H{Ee1X$)2L&BrlY}6l&v4P*iLRTl!~Dov
zKFpP&r{E0p(G}+9!nCPZCT!rql$nM^B0npj*a<$V*Xo-9Ck+J|5pjJ^GBq!_jVGwl
z1s2u(P2vF;1pC_)`!hex+I$rr*?YF%4QBIZ2)GQ7CQ5lbz=FNp8q#ow$@?jHxcnFY
zE=ib-Jul)mY+Z6dhz2&w^bz!hxwj;ysNiWAyRJL%sr*I8QF_!*tGO;AunF(swjo%s
z`w^QDd^Y+ovka{4U3skpzPTB0EC-i&%$I+FrK(+a%<see_r6u5A-M1-N!bjX%2P(t
z4W9~DIF}EXU2p#~1v}kL2`_-JRWS-I!Atd>3+Zrsl!W;zEIDyPA`^D9^M3yi7E9Jk
zd<;J;ie20#i|c1Cb2JH-qaV_whJ)`)M90Ee4c{kd;YZ71eUD)ONBoMcFm)<pSR`DK
zEA*8eo)Wq7ISOuF@{r(yC;J^v1;8KAdD!y8PhP$E2!gvPYwLyJ!!M;yc*9Z3Ro70z
zaWVHCec^F0$_gpip=c+U2W+;V)Ib(~TB&921^=nNkf#E-lGn1k!2C^08ftLS2|6=3
z_}`C*89K0Vk`MhYc>Y45ydHd*i8a+3PU$+ZY6%au_-Na~q`5RvH{frat&bewG1jXy
zx8UJz0o5Dux}kco6C8QlGr}5X7mFYBgzKF9<jmpk{Q+M8!G}q>f-PZ<;~hOga2VfR
z31j%9Ncrth_+Dq-f2Q#5KYLmq!aQ8;f`;%zi-qekaNVT2>lHZYv21k`{J=Q>s4lEy
z$944y+$6JMrw>11aw^Jz3;UHgF2LKGdfHh;e)oM#Z8*^Sd3GM07~jF92FLFXP%eOX
zzhyDffN#WoNvnW`;ti>l;De9eO5z`8<WDrG=&HaHkN?Fr!1jIpyX4@o?S8>#c;zUE
zh623k!gv1*taep@^9(#JyOXCI7T_BWm4!R+JRkf4UrMKzlz`a^JY0XmZ+I^H68W#(
znm;eV1NC=>Mc`nTCpN#~0`m`dMBy9f=j;B$!^bChPr}_7KbUUA;$ytG1YwfRedT0w
z_<hGVwZpuGtw!}I;13S%Is9<qu0SewIO5q)V;=a&sCN1R`0@P{FOI=lJ<oRVz&bzV
z^bf<wSnLyz!Jnu6l8(T`K2?7NVSDQ+&Hb<}Pe`N)yzd25{~>rykzeI3e9Gov7%Tkb
z%F>83tea-~nH^4|RhGH{YdtXcV}Psg@9EZtdxoAjFu|+^SA{Oa>GMzBY2d2Z1I<@q
z)mrY|M1G-gjjtVi=fM6VDmW$3pZym6Fx6<28kSw}cD(}!9K7(F41SUuP3sA-l}G&E
z11BX+*!aV*Oub%^z%B)8yMkcGwoM@-zwWbYc^phuGB&nNN8H~?^b?5JhaBN0@_A$Q
zbJO7D_?`Xhh`$P=QhyE)`zs#WgpE#KOV5T+mK^-N3~L86$i0EzR~j*|!j`Ew6N}&i
zwo?uBaLpAq(Nb8_Fi)4r*BGk#)dVZ9`|O&9dnla)TVZkGDs>`X%c&7xK*INxS400!
z!iu|GJ$hkkjRu8Z@PU!$t`Xw(5)YQX!FRe{9KOLt=}o79z=d2bO}}9G;(Jp=u#>lw
z#VmYGp<ZwlW|VKL`~y3=`;GR&BLD0S*I<K#?~e|`vZ8hGcF3dt@O19&gi9{nI8O@8
zO1?SR10UN_l}QDMSD3c7!T&-`6lvfu@sAlh;J)WYDa>$+oJw62Oz}`xf(@n;_n~Tq
z)ehxEbHW;=$0};!wp%Lv-0&Eq>COh&)hRWEAAU%_^Ia9JeN2K=5LOdCvtA8br98YV
z0b6MHW|hGaMLf)suv9GdLIq5n=HsXcS9D~g6~ciB>8X_AH=<uBieV>DJFD~X!}#0r
zxv;3w=07d?F;n_bJ{-<}>8c?ted43+3z(1AA;K8GH@*~@0q0$7p1KYz$9svT!a-&_
z0XN}f+ib6=u;<Y?!?)pq!+Bq$;S=ZH?Q?_8gocj9!5ZQF?7iWO=Pro)z)B0gXM$mi
zUcR}z@T%{j;s0Q@4+pdy;Dnt!_65L8lq3{(aNJN*p(o5R=}~G4+eGiyBJ%C_S~#1-
zc6F)0UEr)wU%9Trdun!t-+|wJY92C#87`y<--7qLC`ahPcVf4i9pR(gCwHEQEkE!v
zn!yo~+4;)wghJ433;5cvw4(~J_0;Q?i*O%1SMM2kU&hXd`tYeVt|$q(dRLq%(Y`gz
z+`8;=IA_)4OK|-@*2f3n+v`GqOyLfrhiXi)qm^@nIUL~>5Xk~p<o%ekfj=1DT-XB}
zzcM>Ow5LqgC2=Y^->v(OJ8Y^{J3$I-?xfx41z%@+?nLB=O|CTDhe!U9bCJLU;{s+8
zu%+ATO(MT`>siGk_~hM7Y@4*G|4jSzAH!EzR7|&F*J;hXr?9=^Q`%K{AlFCz1zeHo
zo%9#xVYVhIgvr>xXe`6R=Mxi);iKapqE_G&M`>58;A{_C#d%n^S|;)%+$}fz={MY2
zbxfrbc4HUyo`J(#^+vj387fA~ML6j{*+&!bG@owS6uk1+T5t;1P!Us^g9A-<C)VMW
zS9U8Cu%Fg{KAZ6Tg0}xO9DUtNoLT|vjfuV@<FHUeL_00aLUp6^CtM$SC-^Y@U_HWN
z3?{XBa)=B5pyprj9nPJl_c{Sf8>d@-g-5w17zJRLlMfa~;kDqyEwXSy(95)bxK{A2
zr2<^EJ85DN79}sKQiJFG^B#4<(+quvn((cIFTVD`eJ1A%^x)k$>ZBWC(?@|5m*E1b
z0{>>%!Thg+IUM|;Q}H!S$)K2F2frF934IF(dsUFQ!b00Qs?o4)ed~1}II=D@A{O4?
zqFx;WpA>hT3xcQV<bFSZ9VOI6L*dCsl^5b*`FM$OU${WEU@{*5luyGK01GIJo=t<D
zCD!`A;QC9)zCMGM?As1`!&S8}C9>gi=6CIGFsE$7=htwXRVb4OoXEk(Uj*+HyIJQ5
zSN|oeD}k@2N>jPOWm=(!t6|${mU27z=|ktz8u&N!^p0EbA;Uk6t#FM%b?yzgZgc2$
z8|?EbX2lw=mAFRH3sX^E&oGC1<yD^b!)qVKXDs2|xyG$ASeBbK*%)rWlJjUBzP#Ew
zW(xP*6<nHuFaDPlWeC64q`N;4Ke{M$kjO6>VpiOth|hx_*lN{>zjCY$?1Wo6+USY=
zp>PjzDmZ}p-bZb?OvIp_8g4m$d5<ovz%;<e40FiPmT15&2McOg;ny$To+a`J1uIYj
zqyPRj{;dk<WyLb^!>7*)oFVeh^t0X)h4<C;{yYm;6wQ%Kz&5-u1ytbAmz^!-;4h6D
z!?N&3qROTMZ2$3>HIdIJp#AP5oRJa2CJiTya%$?sKO`@i68VLnGhQ0QNoVJ2B;bY#
zSNUu3-^7SSDVUkjcl9=WbCN?{6gE#f|Iir@cr_O(4#)L<nf8Ls_It_+!hSU=f!?tF
zXSSA8@OD_HR3!W}FvXJ}=9+Zuih{e{>^}&=c8;rpiEy6Q%&lYaN#V-IWLVGq!QT_`
zXmpd$Yq-dpG@Bdls)=CDh3CrB#gD`3eUIBez%}el6P)lTPve_4aFlPU<5Bp%;>|-{
za0?eF=OLKIfUl$n=J}nn!~?%NR@yudH>_<u<$(K2JuQ~tHws3j#Qq#n3F}}ui}``Z
z?3;(-HcL$#W_U}A)0f!3Ziqpj1Wc=BA$SD#6Jc|dgkAnv3lZ&iVt1tJBX}+0oS!0W
zS@WSj2A02M5lr;|=<c#-8cO*5)MXVhdw4}TP3i)?d15=p9j3iey~`c0ZT+lBTtECy
znJJ#Iu+#-6BCd94`fUuHE6rSc8}=vpqWTE-A#u=lg*%-y|7F0xl?46~?{9P~JRu8S
zlf9x$<X>!G`<(|Dr86zxgf#>P9~8hjrSg)tFx$>^KP%w8v#UQX;E>v*epPU^Bd4Gh
z%(FKJOLAC0;piMPfp>}Ac5Q~AT5WQf!5*_;KYxLbNMwDv41aVhw(f@86FOLpV2TXx
zx*>Qf@Q~Yin5O&l$~Sn&A*Bi}cq>Tm;xrs1`NM{|KJriOo1TSz=l0~O!*1HXDl4%3
z$#heqzeiry8d-yP{%uHChL0~*N|Gq!{f$iZi2nY}<bEe9d{@aYQ66To{VT8+4s2pj
zI|I*1)-}+;W6h$G#QBpc7vo}q_c(u)A^N}l+-5l&EEw@E;Q#&qn?1`B*zU5e2+{vJ
zJVbK2VS|V;cVU=o>^ap*IO{IWF+O<5;Pn@R@Fk}6?}+~2w5EDh9^S9qWJdJ2b_<GS
zMR<*za*pW#_F^-ybm4;@-pNG&kJ^`g)&S<Us^%s7A7y;_h83K`D$q;x{|n>lG1hRO
zptA+h|1%GsRQH4<xcc@H{h#vd&u@3($oh>-ME=u5S7d`=fuSp8?8NI87<xnCp~rVM
z55SFUfg%rK)6U)vM!4iZsg`KCG;2+s1wNSd`e+i&eB*h_9(b{BpJ5uT>-yn4B}{QQ
z=v^j!Y@Ifm6rMP6N;4bY&B@=l8=jJR`SKmS;8Z2LN`vQl(t2MBocN{Ja~+nEy(L-=
z8#x>I{(@<#3$NG1wUkZ=XJKz){^~aP;>MK6Fzn`deW??+YTBq8g`cntpZ^NKC%=B+
z3;eQ?(q|05MdM`N1&1yK4otzkQe69s;l+DJ(#vo};Zd_vc)ylt!Y0gqB*OMN>~x~Y
zY?lho&th0!I?UoL{(dhU`>nS;67~&B3}%E|$=gVx;Y90$-wwdi8H>gNuwUo~{Smly
z=lJs=`23u=10OuSGOyzeTT@MuorK@mjm7)ITtDp1#o*nkv%ekTSCVI9B;jR^!80x}
z{iCWmMR=sOKkhorVB~#B6`szm8N31WpCR+ohR-v<zjqC;Ic~<F3*TqRXg7!3Jf|G4
z!rn=V|6PTR+Z4!6;E6o{8e>>LrrF#Ij;6YHNDGeDcZ#uvR}Gb}>%h{<n{&=^4&O-z
zb$EhOGsF!RilV!$3H#UeeDj8{2Q8B+!|d@~UVbpy?q1Dv@Qb=PJ@??E{Y4vc@X?Jm
zhX?TOf_QmFI4e1@ITn62>o_L~Gl;gD$HV5S7e!^@V0FXFRQT`4v2S8<uTqM^Gq|^o
zocA=W(0)As6+CdZuUiOq=C@OS4c8ni-hT@2;#*HIgasP?n@+$JzfQ}Rz=!It(F(va
z#`TXsz}8wbHiuxjHR<L$cyB;`E+?!u)56mRkJ|;Cu)_ikJ1alK0i~ud4#1*<(QN&2
zY)|JuYPjy-irO&z>2j7b9sJ)^Ncsf4Bi#7+9+-2aP-Y4~eq7`X72GR*?(ri0(tB)z
z6h0T{B)kllpDN@hgIBF~g>S+E*`@>A)cAdaBPV(O!9E@$he;6sexu5l{2b~vhQ3eh
zh))LnV5Nj_Ze%fR!qIZ>F7$A2k$UwqZ1f>%FB5#LXg~QXyn9aI=0SKNwzyy(j_T0b
zaTpGJ9kQ_qi#vb6$_vZC;mG_2hm?{m^TBUNW@l$$zV<k+Q}CmmzDYmeGwyklVsO9a
zg|SI^m_+5QEc`QSFk%!=r#2mwhyN~Tc721-Q!R_D!9qsD{)2F<2W7hkOxL&7Fa+P3
zPUX{sEzSH~d*C+}?>-v9R4bb0eel(1Y8<Ap=hK#(9q`$nD@A7Tj|-39bi#iG7x&q~
zkLN-t>fl59l!~|D<6kalHNfHF&r<Hd*7en!RdB=LD=|+v|6_>aM_Bg6*(iT_`L|ih
zJ9u#n<84^|DEIe5nCsp6frs$Yiv^jN@Os~fW*n?c{Wc&Ao<8A~nL_0E+Ycwg9UrXw
zp1}|9@N%cXcjL%Jv*8gE|Bg6#%Wl2pHT=FriX{PlQ~2mu5xj%>yW>6hy|?qFa=7G|
z_EtE&;*m?!3XcvXy$XhfJ(4ooVCTV$3!yL>hvd#)*k?8&#Sd=xIg;29)9fcdPUQb&
zxu)|A7O+$9@rIYCRHkNNx9UQ(0C-S5Fl`HdtTRJ%7e4G^eR_u~>OZpmqyDf4ladA-
zY_g;h?ga;S^M2nCcZXN8`oi6YmWllEOv(2;cOw7ZIT1nl&|MRq|A_o*|0y|m=Y;3B
zD=cVk>8A)c7@t-m@}qcm4ynVJrnDAs!|!>=T+YKW9(yI6VX<pIpY`F^qld<A;jeX9
zZyLh)ofB>m`PTvx4q3y$v~rrv;7<YSS`M)NaVuI&IEv-hD>v9*%BI2ye*B_R(F3+U
z$+goI_Q)}L;s-OD9eH~RUQ7}a4}?u^2bM3xGb|lZ58#{ZpDt*?c64^tQSh!SezE6a
zIU1USiLjo&)toH6<dUqJ3JW$fiz>h|%W|17;mUn;;UchoQ+00++*F>3KfcF&X0z3)
zLU^}ll;p-<oX`623r#Q|*>T@Z_-4{W%`fnmgP;0m;qJ4ayn10aL#fzl_<%0Q;dWU6
zLCi)je5cCw>v#C~Aba5(n6dG_?;!kh_!&(aT-2TOb`-w6Al#G!CmdhW?St=qywe^6
z+tW(26LC(DePKZ`=~J&tVtbK?FFd>jQ(Q_79Dy(0T~fD)t&R@y5^=M29-T{YRL<AA
zVc2w|i%K8<SjrsJ0|y)|sFZ*^x=$?-@6Yq{wucyO#9$puY`@HDs*etqO>+(X0f*cy
zilKokcck+V!Hw*HFTJJ0_=opJ-!^O?zb7RRu6FYmC0E1z3s3vs2e5sC(lJK(#);4J
zk?=;&v48{cjs}BN8#vT9#`QQXrmrz>2X|6?bqK?=ww#Z&V6pgmerfom)!soJxVbwo
zR0-an_$`V9en7wQ(g5z#EAKfB2QYmjHH8a=xI#(coRC-(Yxt+ZQtNKG>1bG)BRpUK
ztz(`N--mc?=j{P&OJ_4L!6zCl2mIie_x`PwaJGrgS`3^O&=yhwyLIX$--q?10v=?*
z&D`~-M10S7|G5{iecwk?B7SQ!NHYRXU8Qe`hU+&b$REJRe^J?n!O9=*?RA4s_DTp4
zaW&6B4bJepJtx21gQX8dwi?6kHKK7*@XFoYp;uuF(W7UG`1FFL3@<EKyjwpBey*GA
z#|NuF-=Fs!u06WgzaQ>?7c`U!*O!}faKK!gDQEIvzprs_v~Xzh#`Pk&>^W)qKA7n~
z!^cXPjQ%(SDSXz^a;^rxNfmQxH@t7mTfG&QZg}-}g#!0`;TpFNxOj<fc?~Az8u`)>
zzgT8YTZBLKY~K7zyk7k7_-}Ynimh%OKI4B^`Um{ARAX@p{`Y6dcM_ILvp&BBkI41$
zkHTIy-rtwuZ%wBizrj<r$#Prpim1TBLD+2JP4_=oxI5fz2p+BcB)mr*>yf|hO55Nw
z{8Pr%uy$SJ)@OLdi=vDPmU7R}YJ$7p(`&QBe%GkyTHq|dQ#ps>NYSOowQxSSq#_r*
zC89Z84<{I1eR2Xm$;%&B1-D)^6%~N1q=VY3;rhLP55-|}-D{p@@L?zaqi5i<|4J$=
zVBzQ&{t7TlVT4T~oNM@;RS7;VEcd$<o|v5ctOrY`Q>W&`1qXguU4mb%T>oAGkK8A(
zF@;~>7mR!jf8yME*&OEo9o+dA-n*Np&<2*s((uWInKut;*u#xSpVhpAU3BGNy25Q+
zX1AWh@!4WB?yz-K@w;@G`p)IYzVJx!395M5T1Kia2>z$>pVniTH|!c`1d(qe{5J}|
zvZh)55Dr!Lmy3l@mpU;#hTk>~KMI0VvK8f?z-M|+42HlTXRVVm;I;7Tdp7WsKVwU|
zaQ4pKZFcbG&b?Zt@Ks~mKx(+LzIkc@z8iF2o(i^>jSl|;zcT1t=-q?$w7kX_<8Vw_
zOHMbeCmO2y6@LG1m+>>0S(nsw4sP;iU`vDljFs)2fFt>??GJ;c?{9ycg}t3UdP88&
zEBRJGVA^loK{l|23SY%M+)<*Ta1)kN?Kho-4JCZfUW9k}H60@2bj5l9v|#=kmm1>z
zzs*a(7J-c&{$pK)qqn@Qh2Y-rTopgz10hl$IAKqwhZDs1zZ&}AJp_yOoeCqizgi>L
zNe4fajV$;DH(ZX0q=BO^2pN8ZPi@UelEWHKmu89MXLOQZ-314KU3o|x|A*ME^DE>S
z-|s$MJ_f)3WJtLTzo_Uk>4$OJ3TI%C>bc*8@T?_^(=YgZ=e_t&ShU^k;CFb0BbC1g
z7OWraAB8u<PJjLcd+wJG>WA_3Ro6em&Wq^^y>Q<5(LIfDgE0AQJ6vBelhO=l$4y*s
zfwix*{vggTO@_w4T3FMa!?OY|FFzet1-Cs{uFi%<lb?!}!0#874c@>HEt227gJn{0
zrli1!87Z#hz&uASMAG0r;rlvY!ugl{JR;#jYJcxE_z|lcO*FjBvsdZ~tRqL7e-EyW
z`fuV9yyx6+l?U)Z=-%hCFi)fRuK;*MdVW0!o-EN}B=W~rgNg#+M<D~n#Pt#Uy|cs~
zekSAY778n$b9J?a1<r4=5%Kc6&^8rVsE%@HIP9J*d0z?U+Ps$@2#>{vMzX@|c9Wd3
zaJXsR7k2ozzk_!&{D`EfYZq+T<RJY5_F?|VLJo`BttI5ZzW&J$Yh+lT&5`+-2bb2j
z<!!)`?Ts8|Fy&Jg<KM9Ry45?PeM{C=)BeCaqn2pv;H8zel?k|Ojpqz;e)_yO&rHFT
z``*P7*Vjt3%fkU!XSBbv7bf+8()kq@^SHTx6y82S!Pf?ly!BTi`YSi7p#5jqp^5$}
z(Vv%Q?$=bq);A6}FTtEU-;mY9FG=!`{)IDQbS=)oHd0n3$22e=u~NxUgDDs(Oa$Re
zA?iAca0=;#C1F^~K{{3mme5|jAPJM_O3BH<HL0h*OT#~3@%zic#@Bk~l;JGuV<%6;
zW3((?=imiyig(hm%cx1XAxu;A*H{b=*-YlV3ingDTFb&Una5-A!jxn`DwSc8E0g~`
zV41m55>=S(Z-|jUeEZ9Wffg+GTfWf;{_^<mV;y*4ZiG7&ek3obbPcYoQraZ)KeS4O
zn8SA{#tiSnCk(BH9bp3+F`;1iV3voAGt8dR_8<bDHjZxcg!@^Y)`)zzh?jf+gD+4~
z>c_&LyZegn!)_gC`6J=x=0EG<@Xvkyq499f3ipd-c-P*Y*P`L%T(!w3ux(;&MIxLi
zW+t5hH(^~m0ZwlV^T~ui-+mXE2H%!@-t`u4dm+7$0@oIIu;jz8KU*|2U_-`fyHc3Z
zLc8QSZ1!IF_j`DW%+|30R+zr6S_eCqPkqgU_dk7^K=hB2^yKV8*lyM9Y!m!Ph)aGL
z&Iov*{RO^mp`8B@E>P3`+YE2Iw5sgX#OF6s$Nbvia)z(}=;7CCY5a}w@o2MHCU}!x
z_+2a9HF^8|QTWY;pT@-Y={lFkcwxyQ&v9aVStF!LXW$H7zQ~Vofkd#NG;F(F$<zSL
z{Ehvo3H!gb`cMTke_;Ag3l4DGQX%^9V@YoDYp|$!%3=j9Z}+^}9PaD+DN5w)cJLju
zh5Nq+j1<GG<}b_b;Y{1MBW19Fv>>Y+yc}=&iD=KxlUX_L@GsFfbcL{xmoSAN?BOR@
z{u=(&nwb&+M~j4R6X!!WLU`joY>~>CMVzl+av2d3aH6Hr%quwFRdD(dEcV{v5z!xN
z-i%2<g%`(j`Xk{PZ->WOM0{kAfGy0}E$34N>jy|W+Qasm9fOsyzXxl*39Q=YysH*Y
z)li`@gG1}d%v#~A5zHnRVf8o3_d4L45%N#<VCQ4P6aBD<gIOAJJ-H>UKO2K@9hNsH
zu0PgwGZi8}GIh!5C>$?HMoPpxf^Mhs!Uz7OnNGnNpsR7hjg}q1r{TX(h97XjE>G;V
zm*GHOA&CR<cl*Tg6_|8J#ghXr+b^#04}KaK!_5N!R5$A;Igj~QyQ~{*@RZ$_FeMxz
zzPOJb?*7YDzZcdeJD9)>=R}(L9E9g7j1_6&UH5|+4#PdmVT}y%v7Yy>La?StjniIu
zLFW6lQ!tMRjWiMOHY#${gvD#5CaB<#GJ}*_@R2@8J32V9eqXIAJn<}^nF1bW5HmD~
zSHH9;Q^Py-Z1*|CroFQ&WN<Zgc)BYbeT4TDC46pojY%*ZbxrmTDeQFO`%)-e_vmWb
zZkS)oTPq5VT(+~^-i^;sbR~U{fp5y*d$|Mg1v?4(WO%bYPG=o)n~N8_p1_W5d9i=t
zB$GLzmvB>2iR?05{G6;V3m!Pu>9+zO;eO7U56_QxpO}Y-8cPZb;CSnKhebH}y*~YW
z*ji<l^%p!=eKVs9emcC{Xa=s~BO`5uj}30`{sF&_V2*Ew=YyHmCgCC5g5O_Y`?}5K
zKElea`}<(SCv>9&@XB*r_fc45bn9LxyvpXh_d8tNO82Q7)}Eoao`(O%jT~-(&;MeL
zT7Vtj&RI0UPh`qw*WgO=&(t5`M|CBBf8lJ4VeMM@c=(lJ(hF!`%JPj0IK#!ji42}s
zZ<MKm@8+(x(ZHKSu2H$LPSoTI1FWp!)0GeNT)3}$0Jf6Q_RfY~&v{RB!1N`C)vw`D
z_ajQj;HnyK+YH#KgTC)L{OJ<^n@qUCtyok9{^$Su(o>j3FuhR}w&B}Id=5WRRp*g`
zIb180lHu#u#7gDhZ-O5~p1^8z15BzgL!ysxJbdqZO_n+=B6Pnv33lwDvA7CLcgmZ^
z!u<t*R*d1eH!3e4!6VU0x>oRB$JO(ZaB;WK<V`rwbn{^pyodLwk|P|YkSQ4k>ok-1
zIm4E6`5z)+wko}-KzRMKflUY;{7IB21U_PY_4Pe?=j}niNSOZlhJioaHB`bB4SyZm
zH53g0b0TYh23zYT2m8Pan%~UR;b*Ti_Xfg09}6BRg3Am~7u|(dMksPiV1X@dp8)uw
z|7KkW{CB;Zmxwzn^jz+OSqoMdiS503Q-5m~zPr;Y$qT+ZkxIG%S5duvNxXl-D`B^N
zTIe6O`*r?<*Kbf!GQ#?Mg405YeD^c`GH|!jH#I-_Ujw7PJZwZI%s|A4&aC@ihW{q`
zSNOsvJG+>T;18|?K}35TkSpSMg-!K11&O$a@52vwV6{!tLSp-?2Rl4M;YRvY6Jq-}
zTC%9`!)tDpPl@(0R#dl%fwgkh)ZJk=t;5@Ka2gj2zHp84o@DivC&cUTXi7N4J{hrd
zY4DkyHlD8VIWlpLELhMrk;?&&>mVD+hRf)St!~4O>6uamu*ZvUwAQe}XSenuc)$Mk
zMO%24m5sj&{#~w?ZUoc%<mlGI;R$9xP2g{;+PSUp4!Z6K3UCIG*1sNDTK#+bSy&)!
z<?0CBb%pAP7+kc&JYXCi{J?Zw0(O|79G!vV*oBID;iDg{$(LZm9Ptf4nBo|t<pyk>
zrSgXn9@?Tfv{M_;KOdFTEbyD9A}>n#+#Q9mJ+PL<pJ%i%t%uAfN?7gn^M5R`u>b7G
z;a!;j^xf-v43?lD*gXb|zxvQ22rsuOEQG@B&-ayIfQwk%UkAezquM4au&p4+zdLZ@
z{_Q{wm{!54!WCYBDam^lc9jvl?f@St2rE~H{e+y3*unRb>P%!{Cw7$<OW0tRZb=UQ
zHWwah4o?WG$4S5z_2$A?VV#DDyppi!-M4dwFzxlm7GZcgx=~UT9-EoTmW7ip+5aaF
zpNJ^ia}Ms+6+bFS<TFesslfw$12=`?D&EpH9r&H{lYM-!<KD^pdN8S=f*wB{{;2S$
z5q#_BjxBED_5Gt>rf|RNOzjDH|6a{#cQ~UX&7O!S)VuL`!46ed7?j`u-O$qu@Sf-6
z<<jsZU1iG>EPnIZwk+I09mM+=X0$o>QUaboUQ)gV2P=$Eoq;uyd|1hJ(4WmLqeWm*
z=G^Q(uz|+mZsK@pH}CA(2TxbJ9HN8y98do|2p>0U_(~0PXxiRqg75u$eexeEzE5GF
zoW~BE>Fk-_gp(h&>e0il_q<~Mzz^bvCmCV-F9X`Y;hXH#_xHk7YZun1;T98i4qDjy
z$h)E`cvkjYHL-u^#d%G?!S#(=dK9pgV$^|ASY(&i>JC^+iM*~44(jv{BZVv3e#mvf
z12;Q96YXKNX!5faW^!z|_yd=hb*4ANBrPjsv#`GJg$p(Cd)9@=^RU^8MyhIf`xBGQ
zB)mF&wxAT2HlzGJ1?Sj)bS#FyI0`tA!RM&u*mL0+bq=y|IMwT8?`t@yNIq*2R-%&k
z&463GPDl^K(pMX0Ucd*FHAlMP**=wtWO(wQh*KZzPucZ65q^B+BGYGB)lFA32A*v>
zmH7pBzW0M73MN(8(P)NszF*J32Y){;Fx(2$^=;k?fv?f4`_;l!hrL;S;dYfHj191H
zeQ}Hze2>-ON)dc<Tw2-%CJW}BErAE(M%EqSbKdd~bK%ve*Pq$ISA=P}-od-YsIT3G
zX@a=xU%^^}v3tzm{QqVRU&DjX<?Bu0Vg8+)FJOZQjSiRK1Ge=MFJa?v9{l=nxof|0
zDoj_pv->>!a6O^+DV)jasI3N<oh+w}g6-S3))e5<UoI&z@XBaeksPed7$|=q-ttm4
zJq?dDpXm&T{gh%8gyCO9rWG!*M+&b3AAEtDM(Yl&nP7UF6JC@R8`OtM<F`iH;HHQ{
zdqenVqiG)<Oi%M?T^u&FC-<X(UA$u+oPo82-jwZx^`ui=55t+0Mizf};`sYT_i(|9
zUK}aQ@L_iGMGCklsZ)6tzCT_cuopJVe(N&<C%&w*`;Gf+z&%^u5tuVo?cX1mQqkhY
z0KBVQPWcCHuyW*lC*hfz-bt8^P9UTe&b|BkLmRB&zbse>{}|xY?SP*#v)fd{j&oGf
zC2*<ABz-YF>EYj229J`^MdritEjJlo!F+qhB(mX*hy58j@b(Karx&n{Q+6cr{1dXK
z-k$=eTQVJa1h0AP$0xu?;udcN!4_=7@=@@qYW<B6IOTnTXBf=k$oky@o@0vV3LswJ
z?CR<WKMC4S^(Nv2=gP0aLIvZhcVJ`t)bkdwZ|~(gC)jeAeauBz|La)?TiB|jl1Cpt
zqY=n&4HxD-Z`6cyWN&qw!Fg2+SG3^1p1(TA@Jd`!nk*cj_G?2QuK2bkq5$_ciI?ia
z?}moEPs0lSN6j^1uiKnArQm-N&BN#5{lO!z`QWO9l_BzQ*~J6$Ct-0CW))fZrv3Ui
zZaB-Ea$X$X>nrSf3@%o@@mds4TG`8b2>$-Y$lxTbswMx56Asj^WIO>Ea<ZRigKxbl
zc+UmfeNY|Q52v2mf0q;fFn8FW0oMADo`)R{>{MrDhF>U5KV^b<YOh}24Og2@sMEmj
z9QMzU!y{>i6no+Eius6t7;iPd)yv-nzvQIl+=;kVd&}*ea8t`z%{t=TpBmZzlHmKi
zZkzg>u;eGDzBRbu?x(fia7U@4-y;0d{(IO8Y@AplHxK8u=bxN|+g(5YoP^(z)m9PX
zyLNHamp|ab+9>m%Feizs_AuO|@MQTH{P5Wqny+xjRh#&4aLd)s;x3r>kkj!W@UtOv
zw=XbNoOJ6~xGBi;Pz!AJM9yRcCjYrM)CgPN-b2z0AM*JdTn!Ibk;U}GAF5-OtKhNO
zPh!OQwDnxVTrunu(9qCH*hc(yA^d<k+@=NY9Fa7518YqAZDOTUUS!0-GYgJ9NTK*1
z9_PD%_ZjSXYOS*hmL?aIN`rHUO5KX#B?Z~>1i0+Xi#=s<{PxVVM=-g(Wp*BXnRitq
z5|;m_CQ|@+T)Ea11|O!a_kRv+UUhH^fWxNK88cuvxgYc1@aMFHSK{Ee%&Q4^V29$>
z>3G;K$BWq+KJv##m>BQhxDr)m3zMqI)!c(C{4RT2!+ZX$T=#=}Ic^^_hj|{<uLi)E
zkIGD#!rJk76TM)Iz{oH~xN1FWEC?1HE^1MNFLI2^M!+*RZ3o5S>s<!sF>urDqRDA^
z$vvYgiO6sIn|mDgh@|_T22;E4UpfJk6qw0p!RLe7lepm<D)e8n;ZemiUys6@!xn->
zd;D-d6?6!;Y2Q~()Ej&XI`y0|{Z|VPqP=IMRBo}uL435i)$rIYi`)aSY_=J7Gi*Gn
zdzlF?xkQ=T3U9XEN@RikHH|lkdSqfn34d{k`TTe3hX&w_G{z^XU_;)GyF~vhtyAbB
zg{QtfrXl)Y?W`dS8T_GT&X%ZOdTLL9*xrHh?fCtzdDwI70tpG?k_uy2*5KPqJ9U>3
zKkrNLy#;^NWr|&f&lp<|64&Q5$0_Mq_<g{Z-5%KY`^JCsaA}ubGabBjJ-&Su&JlE(
zWr7`dq|<$eGj@DZ=YT1$+m{Z))MAET55wEEo*P3jhiBfI<8a@he;Vy@#X_Z#0Id0&
zJiG(`RLE8)4(sUn41a_LAFvM*_cxLAfrsi~$qqM3CD{9rWaE2St!Al31#UedOYs4=
zy{mPcxS#%JesU!bKII^*sRuvOc#`xE)_a+pMbulima0lQFx5+1DO1=!>s-(qSXs{@
z;RakhHgobN{3&nvxDCuCG3}5AAM2C}ae_Zb+-G?P`$S~3y263Wp@uKuMJ_70|KL})
z+$1S5n~WQ|FPt}aSTPlTrP5<b)Niux#lPa=l=reLVQ}nr{)t3bLn>95czy*GD0M}{
z6m+|P#KGJea!he>KZ%thQNO8d8CV6w6(zjapTisF=U;}x5BTnXB<eNZl1?o@`0d`G
zx^G~%kfw(LaN3f3UJ;yL*EHq=pRN7dSq{fklpnbRpW?eFTnm3uedBx+-n_C)uL;h+
zkz8N{Ps`in5zp&51;5=!aLZ?st{zxD)K<j=E)lmDChE7Iw~Fyva1zh5?l^pz<9MGA
z97<)JN7QfrF-yE>;VYL1I~U;($GfeSVZ|zCVWNJ!JM*wi9A369*8K-tzq<AJH2hVE
zD~}xGk+)?BHTmF6#-W|W_~cC5+5>)Arsj_j6HKz5Fmw=hI(b2t9X>#Ho8vI7%kVz;
z2>jcqtezGA);6xd1Ml#BNWLGQ=G99*35Qy+8SaIrauTaWVCu~21R8iInCg%eTr9_@
zKo09^@#PZr+R@m*eiX1zN)k0u|DC0<|FZGV=)(c2&w@n#M;9c?um!77oDJ87z0B>)
z|G<vJh8zYk_uQGyRrurKRxcAc>DP@H3-E2-k-cW{!QfLrmf$%GT^nn-ur@$!9A5Ui
z{lEcs4bgC$fF1IGOu4}kP4*lkaLwYprw7cQENVIiTPI)d^Mi%9bjSx_(KGhefpEYG
zi|SXH((rrz1321LXrT*Mz4-G|B>YO}k5DhH@x!Dr9?n_V)87tnNSmo7!v0IGY+qnO
zrM~CSV5i){>Sp--dar0YO#1Q3&QEZzi&iu--X40A`Kk_<4$<Ty#_PvE*i1LTU)*Ya
ziShim@>?+<;QEQmedX}jj8NA{I9y%gRt@Y$E_}Bf{>37=qaNl{U95Ny|CoPi+y*E6
z%~%$}&)8Guh<aqDBRjnW{%pmp*$>O{Jv*NVFVF26BI+H5uxk<TVEwoLl0-dZNODm;
z2kwt`YMFqyZ`0m+1KT&v@Dlab7}+MrOIUO7K<OfUG`Pex3uY<QW7&Y)CDX{C!8-bK
znVayNrmLziV11{u-Mdlmv8Bi^B*WitJ$pnBM@g*<rNW0vIF^ZevhZYYUp!1|L>ffY
zqt$~C*%Dz7GoNonz4~Ovx;h$u!)ESG)VHT!9oZQNUx^w1%mdf;uVjV8Bbk+EyzorM
zn_rP|<0GjmA^7N@|Dr?T1PV6oQ}ANOECZ2$UYvnS37+IDEDwUu(9b8Sz#+8un;|f{
zj@|kNcz?d&3tw0~OgT&k?ubt1A@ZvY<(180GTSSk{)2b?W$CemnQze35cwa&;!fGa
zUyU0J-C?CLo7!9Ob^Fs2M1H}>bst|i@A1U2E39mBhAsg1f6w^zE?g>`$D0gGikGMo
zaoz)grBC3CSLZ2-__2odj$-)o;m~{+*qN=>ybLZ;dQeEbzxU~~zCpOfj>XuGFjctq
zFnq&R@R|>-GUht+4>sKKnw;3bEm5`GJ1^q*2zoL#0^r5tFV6DA1p`dKy@-5Dk1heY
zyr$5FI6iv*n~`!b?H2n157^OF>aZfLy!Fe7$p0nq?mu<7NKa!Iv42k80W{~~3zqE4
z#QrFeZrbX@bq4J*H{hwOvEf%>y9bF~*6<<)&9pfj=^Wjx3vV)9NwI+^e;801!1Nb-
zHk{z%*U$1Vz)k;R?z_Tzf>yt^VaYdiQ~$xjOs^Bw;N9<AJbYo=j9Y^maL0&hZzw#U
zmFKSn=V_4Kybqt)t_eC1+wNZ;%7MEq*7#N6Y4X<&Z(;haN_$m!OY?YZF%kC-uh)W~
z>fMqmgnPdJ2_^RLvh$E`8!W-yGG+{iXCA0&f%iD49=Qh3-ibZj1#@S+dJ)I(u+$dW
z0keO-P(d8OJ%{paKRmnZD3c?6X4uoH7oOo7e?;_$#Y+|}KjG1%Rr5rDIG_^~`~zNM
zd?7@f-?k^a$7kV~J-+vXVYwk8-D!C4sXo<xST%7U%_jWfmY5}RebLcN{I?F%8Brg5
z4EsFxjicAa_+<9CPa2#io4Sh*eyu;DNZb#SE{q;H4!gYSOd{?VRGe$~kHXDc-CuLz
zYtz@J1Yq8?wPM8mXcwuAAwS&j-r`mUe?2}}C<?buzvOL#vqhI<1Yv{OBI_2IG{<mJ
z0_ME$<wD%gsXa_(h2TF5afRREA<+*>r{PjdHm5y!9;s&Btv><xb1Vvx!O=%Kt-0XI
z5tCRhxMs&|ZZ=rHCAymj*3sVO&j}xWI&+$MKL4ZEkzs+q^9gto&*%4X&l3;9H1ypk
z^x&x)VRv@e`v!--0sKA5uloo*B3;9A9iCj-&OZo~nJ`|v0ka*_q$AqHle2iA8@!xR
zGJ6=lL_??R4(lHx)gaohsw#I^2u$8(!pjZox$jfC2S+4l1QG4^kR^AO7(cOlFPa~N
zhmu&&5aXwcN8%rd_F5dCjCu;6bL|#52^T8scRq)?f3ZFggFD=L__N_I>USF=F#X4P
z``7UJ@bV=oSmeje`U3dfxv+YoJ(uZ5$&2AFmu4;nn1MV0S|vPr<Z84md`U#$88QAe
z&3Qbp0^b%R`P%?nr}CI6!3K1@y<6eEoljWx;q;loo=*7RHh0KHSgX{6wFl<OG9AAH
zKM0a?B*x2v>|+-VVQrsDv2pmIRhW$<yiHvnF%7qo?(TPh2SOhFe>{J@Cw(CVUg>kp
zSx4M0jm<O&W*6U(ro;H(qi6?dKiu4~`kkmR{>RaM$8+`laRARs_Aaw%BBKzQ$t+n}
zB}AFUmyDJ~W>iKQkyU0&MOj%%84(f5-coi}RPuYB-=ELN`+V*=_uO;uJ?DJRdF*gM
zrU%ycye!5Er~JC=Kx2aX-p8(u5w?+KU!jFN{?=NN@0oyh&OHjSgv(?R`QBMQb}3d4
z7G+oU5r)ezP30QGM>L$jNW#v%+I;%(1}gb2Qm}=Z%M~+tZm0bPdAL`!`kOKQp;qpt
zBK+z3n7Sn#+G)q24sY+3eQ6F$_HspP!^YI!F6UwKI<4>eFyHx_Zbvvah{nYjp5Ud9
zy#lu$QK&fuZ+(4~>Jq%AYU5Gz{djFYup$HwvpSUK0CRnKw>JoGis0EzzDIxES{;jl
zJ!#DRJm94SX_I^KmpNrB@;z%fYR8-o=c@WzlJDKjy$L=KVP#KuyPNPekGZ+Gu$Eg{
zMFf1bi{JVUy#Mdw(Ii;;<<0P)@SV&0>FMyzZBPEpz$qW2yvt!W_Pu{}O!0oJy+w$8
z@Bb6$4A+CJAKs9vgKG@+E=Iwo?bDs4y`WY|kv19*u%Ou42#dEHc9z3QC27}5dxZac
zE3H!4ms6Et5PrXC<uwJ<&(GPB_K%7Qo8cd@ILpZ18Cbv1bd}N!_2-KR!AtOsf5#m+
zz>#Y6b-!S14&C>g;HJ+{gx2BtE9z1kN&G0S9R=EFf`2GRGQ(~avhn8dc-7;=S+f5f
zCEXUV0%Z*Q3VdGa;kY||e_xly96V(%Ch7(6DX1zT@o?VkDAGQs-x=vP18?h6ZHtC2
z?s|M&hVutm2XkOU9y>0w{fB0S+jC)0PIZr8aICJ6WHnr6z*<J)U03&dyoYD*Ol~3D
zXDT+^McOB`gXtIMVaAtCPG8{LY$FDLV5v@7zEPOzz)w-KzaI~mtVsK3GE3dffAH`N
zezqle#_IjqRoGZ-#P}Dy`{w;O6gdAi<xR93(cXG^L(qf2h>N6k9Nh$ST`~DZjd%jf
zxpWrziqLyIlHbcGl)kaS&lm5#rH5C!&LjxJ!b0{*G%%N#Qtx(nMs5Ep6P)bRe1NnM
zQ`AN~Fu-${o?j7z1=LT!<A9GB9sVp0U!gDG#|HPu?B<e%e+&nO^T4;4b?Y@?tz*(o
zobW)JJcBm8&tvsHKP*)9(M})U&!Hp53zwKyW*fpTvCNU%;R**Mij#1z_o=_zV6|h1
zZ(71F$peM^;5#y1gSPPH(p@_w;2WVGI~-sui*J6iaG;Ib_5WbC@;%ei@W*)fDmVDQ
zl5a<q-~ej|-pg>9)sA9$c$W{m)m3<|V30!%4%`2%i1ZI=r*Qipf<vWVuLi(lhV6aY
za9oFp@h#ZHm-d(@yijHzcL&zJ^EO)#&eo@#BmEPs|7JOl!A{)V(sA%s$H(r*aCt)E
zon)9r;B&tr{7t*%Q!0FXC{)oL{!;8Jk_~(HJbP>gJL^Qa<iNwf&(c`K0gR2?O5pVR
z)B%#7{=fONrLexNk<wXM^i5Pb>8}~1JD)?+@1m|)C;d6apLsVr!B=jrzWfZ^7%LBw
z^p45m%cOtk^!Z68XZT)gqd_n1v}HMmq+hG2j_!wp!qPUn!>N<$Q)BRJ@5i35@U6Nb
z$?x!lwsFfP67Td6n}s#6n<#t1ObPEl{)D44*Ajf-P07?ZHlV*O>&Lw3W!P)4!8=NL
zlTAX4A8fF7mY*K3b`4j)4j;LzV#5gUQ<ZuU3<r1&yyk$JqJ?M!VY&wCH7@w(oA<W2
z;gp0gW&*IU*^8D?xa5n(gKaQXzoGbDI6b;`VK>bATJ}K%Y+4{GCjuuYb}YxicWv6D
z_QCa~#kMhUpS^55=?^qoF|A61-=to@c^Ll7!tmfeyw&r2gF1XUF>5&$-W4tGYXslz
z(`k7C$H_c=YXUD9jfkbg@`Y-Amhcme7YPqx1I5zQr(ue#TFZ~&eH=<P*NC%^<)pyk
z3U4?0!W&rnX|iDxDoM9QScWg7gdES##<wq%;hLiTT$%98ZKD~y=x?4AIjM6MerxmO
zJ3stVuPw_TZd~7~wiA~4roch+J9yVz@NPKQuE6aktn<=&Kpd7oyrnk?E+|*ru@AQ8
zjXW3*?~^O>A^qiR3ey?4VBOu}Rr2tlt1U$|>>WYROZwjf+RFcnf^+s)J<^0jPG;_Y
z1eaVm{6`m_Us$<E&M#zl3%wcneRd^v6+FyrVP{3sThqH&z*WH_7s&XAuEztqmM73&
zr0ckujDJ{|&K^7s7Zp^WzXP`%N_ZX$f1aCV4ThV!ZPjj*^ili?VX*Vco<E5&=fA^;
z$asuH%5xDZ@FDiw3?$B@x;dj5cC5?HC)?lguTQQN{&>Gzo{SGUx&6^x1I*_;J>Ux;
z)O8GMg6GcfbRy$FdPGH)`(cv+NoF$s<5ty7%OD(o+bNEWw@5S35BmvIv^y(Zg?Cwa
z2`s`toI-Dq@gU1BU#|Xz`x--bd%@%T;+WQ9$<0;I$#@G+H}hJSllY!`Qe@%|e^%f=
z#SUM#Zi^@5E%s4)7xBU^Of@Pl@Ck8Q9Rb+?%U}Q*Z?VZaK5G}O=v>ll4ex5AZ5D;Y
zELzyl!eQagqSEk5i3g{R;q&^<#}C41*g|=a!$&-wmLy5~V{-}{VDa=tU0wLU0~>y=
zq5K_B4wzGib$Oe+T4DbpBYR`G&iiNVC-_Hw*QR6eK|8IRuVIFH#&<^W>~$~oVmL=5
z%0UOtIaVd}2;Q+ZRglE9wyw^lz>HWw?kL><X62?oe2LzW%>-tWJ*43W`?oX{knMM8
z#q2hQ&r=8rTfp)$GsA|k-e7bi*`9>{x2zS^M?973dG4^Zq`mDjyw{Q5<Q(i`=bqXM
zU+?IWx&+V9jSRQJ8{Mu%`ofaiE{Br-^RZ&P?fx)D#rMW$IIo7vFAUD3x$IsCySPlV
z-GLhl#tS~cKC^dRW8iOF+)q`*tc#u$_hF6B!Q}U_{S?RPRJhL6UcCbTq`xxv2zFc4
zXdv~u+`WTOUc%ec-nx<cKEj$$xe(rUDt);U9<;Jpu7Q{3xRXeK{O&lVuzFZ(@`3}2
zA3wsEIs~^c_b`z7!<9e#M`8A=BAzPv&h|?gH0GF};t<Ch@_gBN@`T(bSbUwbiR|A;
z{$q{^e6s7f2igCQ#b=oE63@HGrZ>p*MLAsHg&zE=FK$;k%-6Jj*brvvNXaGJ7u+TL
z#|G|H=sZrw5B&JFIl>n1)<4fr;!~T((|zERIr5iD{ymnZV)KS$FPi>qgmWKCH{60v
za)iyv^+=-Dkqd>_4;l@Ag_)Kv&c(z3G({8#V5!Iut2kIT!KQiyrrG#>b2jYarzk+i
zSD1E`1ZKcSaW^u^^UAlaN2w65G__tQ<zb;~Fy|%Q{?aX$8s#TM>%f;$_!f0S&<x_k
z>=F@EBz|sIbqaoHlCqz~hg!G3C;4Y0MkBinXHyo?mci`WN%#K2X-)SN$@Bl`(67Et
zr_dg2uw#Hc|6e5BQ(%K{oaGFPhu@l=Y2tu=ms0A;_=lOmzasqbw9!R2^1e|+ch^7&
zR%QHa5&_?OEuJd^*O(2hhQPW33o2qTtB|8|80?oFl_&%657r*`hdY~$CFEdFn~%GK
z;OkC5Zykcg`?DK-V2`PM0X5jBVK1{E9Q4<~TL(5;>o{=%USX+EHGrS7oJjP5v(g;@
zo`BE#E{>A-GivrWAuIT6(FI}hex|?2%hw*}6$mXm0&iR2{=p5Nh}?2T3qDYI-Ng~M
z80TdWfw!EVE^>#ZC`#&f!#}mvPo0C4-De8Pc!Uq4(`+RER6EXt8BQ=gROkd3J$z@g
zg7;<m(f2MF;EmFk1eW1%1{|y;UZ$d#*9ixFA2#=Z)vqx9*8$swimj3DGt7Dv)xp;M
ze}%~L&95qWlJNxB=+$c+;O3Jl<wbB{4aI~r%yq!^Y5_b-p%rcm8+UBm`V9Wqkg|=W
z{~N#9{e+}HJ5){bqh2K2FCETtJz#1Bw|%~$^ay@^=F$quzx~ECLkaMX{F+;*;DllJ
zl>2bRI<<rmyu0q|cqqK@Vw@34KeERrBLrS$Yg^KX*B0MTlko#3&y9IaV8%VKo?L`S
z6T&Nw!R@_Viw^J`tF<9R_`o1Tz8!3RUnckny!#7Jsy-}np+b?whhlgw$#{TclXLyr
z@Y;6Q=sj>4Rmf|yeff)ihPz;ktXG!0@P1D{u~mG($vpU0ZvjiId;D02|DIrSF^07=
z2Cj9%PBufYNPhg`W0(I5^B7Z|Fol__)B;F<cHY)6-sJqH=&m2Ch52n31<3i!-hUce
zOyWj`hspWZ<xgvp@7bZ@)=_f){UW@PS+M6{|4roh`nc?LGhp|g#HZx^g|9@!#=^Ax
zil4~&QO!uR-i5^mow!utjcbhsVKD2!zHCzdA1ChgAm87dt(rOt@W6wL%{O3U4!T|?
z_)4nx-D|Ms7Rl}8e&g}pBI^ZnL`}VtfX7vb^W0z`e&*i-@XB(4sS`ZdSaVwt?)I~2
zv4tB3hg(@-E4B?6E#a2h7+ZE&*7Doz3HY$xvm6R||A&YeLwM$fxgs?@_$7cv7hcTz
z&wl~+i`iDm0@7ct|C@t@)Ia4@`y^FK{P7O+G596xP#fv5rjmX?F%IkWINl}w*^ayo
z;REniy87-ta0<=8JW`)^W|+nAf_aoEOnTwbih`ldaI*f+%R}%R(POEkeMi21CvO)l
zCvOx^`iJ+Wmo^W=j%OEi{=!<$#qOPOo8{3M(*IlRk{{Ct?>aGmoU}Jl20fMg0?Qwq
zKJ*1Pc}+D%_BTEAaP2cJ&G9>;9rkLR(RvRDQ8nh1{T(xYLQVQ}U*uMrw89*l66Q(!
zo92<OO(brtYn?~>S9i#Kc-jIN4Gyc_frq8&e|E!#AB#5Jf+tLtqCdl%%`4<c`(o#5
ziSr~s4tG9UItxcW;b8g-2ZRKRsla{Olfxr0MS}N)BJ5Jp5ZnV_blKBM+B<2B`Q=GG
zL2*wUX%EeCTj?SD3uiq%zzJ)F^Zp~-pUpdx%no0VU3f^g&+BRPjSAN5rhZ4xzjD+q
zg94V4>ai#1|KjzZBc%UNSha7t0~TasrCos)7V{ID;l{K*hCg7v@yBIt@YP0j=5d&J
z())BH{8GpKL?>)XbLIxgj|UppxjNvnllykm!ws2RV@dzgQQ1>G<aizE&5cQW^w~tA
za+1ICt)0K(;kR-Ny5x9n+n9UB!1_CU@4bT~sr$G|e^1-;(H*t0wXt(7=@0UAX>lUY
z*8}bI^8T>Q<+#;i*s1@}iZ5JNeIn@v9BWvgbQxx1;}Iv%UoTZ&3)22RThjR{2mX_u
zzWyIPs1s|G3kP2PUEvH17#LHL=lS{OptE-H)13@4S#W&Vpx{|pC%8^F1?J{oI!F39
zp3;h*Ooz`sJ}G=0HY^$W{Q!;?aduaO=g%DAe+V<(?2uH2v(HXd-iPUaeY>(BzAG(0
zm;`6<IwdCwpAH%dh=C)6oNfrh;XZ5`3Gnft5tXg*Wr25EcVTr(Pq9t#Lk;|)4z8?R
znV^9kMR*gV;DiHyowNTetE~Q{=#u#7=PdW9VaA<DXCvX7nicoA@UN-w$5Y{#l}Y>F
zz&$c|7Rme0yW8b2Zo|QCQ{NuLmUEX}!{7%Jp<(2F0>6}4c)~RiMhYa(_v<>ZJIpIF
z(Mz^>OM)-g7?$5(CGZ6PVWl%|3O}h9yGE`@^rxJ=`mo-XQw-#KGH7h#B<ZEYrE6<o
z(^2b^V=$YJwHYZ-s~(0_Ht-$xt*PXF=C}ZdwIe(*{+*e;?+nu=4>`luX9_=%_Zh)^
zw#wxA7+t;Px53+-pZi{ff0Xsd?SW5?UF`OOw=<@0+y(E>sNwU2Gm0qe#9?#Rh|3}H
ze>xRyqHv(G{O?=vy|=y*ig0)`joCdo{f^APgYbgTnfo!Yrg^l*VfcrY#6luG=%~@C
z0*lp0$fUpmcOMCp=O4qeWmG1tJfat`0ZVFCw`Rkv=W>?F^Kah%uJ{Z1)jvaf^1ih3
zqhsDH_^cSUAbB3%`Jlj91}m&)MxKOk4m{PXfEgdHO_BG3Z_R!=?_s<A2bQPd)`q2t
zTDZ1w?lpOzpw4a3YKHIAg^Ad~%UoSXgK&E&A7?gf|7B{q6Ml04c18|-jr&&F030%N
zt-KoU=83i@adD4H-5R(q>&b90%+q>{wgdk2<!Q(lcwfcJ{Z2U9vxcr4*6zG-^aGA=
zseJYs{wzj4G6|<YIX2r4ZyGgLU4$)!RHK{VjF^g+Wq4)Md^1V!WM*}n)&lV;t<nbA
z)vbn)9?oz+tNaOeo3`uVg;SNahw9*A*G2~c_@0Qp-A7m`=e&>vyjetTQw{w0-lzP1
z@T*;CZ-0PqhPk>NhVzW%B&*>MJ*|J$;RS2+mn8olMqDU1fh|jSo00oP^XO;o6R>8d
zPS-owqvQgm6HH^ndc7RJ($jM9JS^g!R#^$xDGAPbz;1lDXN%#cvg<c4!ki8_$H?^@
zZRJ-Cf#YOU!wO)n*H;=tVGjGx4Mi}kYrXJYm{Bjpm6VTj`9iOwVUzbyev<NW-Sw?!
z2JF#g7Mlx;^YTz<!}5YZI-bLqx1T%n0<P4L@+ReNt7zrVeAqu-s5}QQ$!0bvg`Fnf
zS*O9e3}*();T`%Wk1}AXfB8x^u-%KF8p&{B1w~UG%r593k_u1lG8S!tb06@C#>1x$
zKP>$WALV)M`~V)@I=`g{Zr5shN$M9ytH6VU@UL$t7Q<of@{ZW=@JPbweRBU%4Djxr
zgvYgAyF%gcSFV8zFhA$Ak3YOyDvx6s{`bkZG7zTqp?3cVUn-<HOYU!9Gj$3ION?hy
z=NP*IcPLMlvBB3&BSNpjw{D2&a>A?L6%hfjtjm?R2jFjmqEgr33CW`42jR>sM+!;(
za74zE@hJR$a**vNTz`V!M+>IaVvHr{BQahfdjjsb|M(}VA9N32$ufbrh-gU1!qmL@
zDuwC(8;VSVMT>nrPr>qI{;i~baG3hgau%L2E5G#&-u8D-9!Z~&X7`a?Zx4SDCI{G{
zg+hdspN)&W*KOh2tJRWK@a&wzd=UI2fv2qm7RieXxCzgGXyhd2YoA*GKqO2<wY7wl
zm!np47w*9;s-IR1;SxK)rU&rqJ^o};UY_@Su}X&9`#<*Q!GR~YmSw`>PluhOVU`;w
z{=R_4*i}UD!tSl~soAj6uYxr@_+X^-hGO{C=#KKUFzx!5^yjc=d9;)yY^y^ZQw3X?
zv3l)?kMFnsSr3;nDr^yj6O=st8)5l^!jod~_xR@iHuy?l_n)0`@A`mi2V8a6uxc;N
zk@quXmZX1p-j>8YZ&PlWhdm2_>>+Umc6LbyE3|k0*BK-Q2eSQ3*#v*xU|lN%pEWo8
z%L*TTs=q@CE=*K*VTPx6b=#@HQmQdnb^`5BqZ+g1d8cB3rIQ+7n9X?R1{ZG;x%L<P
z6H;}Fc>?R_u&j>5Di3yako!?0+RSVYjt*OvBKP-b1x4*NJlpWni`?IbsI_-2!?w90
zt)xD0bDzGq0JCmxiF*(4j4gV?i2Vh+F36KOyB-IoB}D#m^aj+!5vvwV@^I9tx`9tH
zFV$}!Sy<*|yb!5BBc=~_tHAzugM7Q-LHW-|mEgOVPF3~5Z*Q<<Yrr#)v;{`sZkCMA
zYVhL&>kr4_vu}7?jo|uyj2h&5VSP08j43=%^F4SN=5BmfX$8me%n6h2P3B1$*uVkZ
z*}3HTVY(@c&K>UHd2B$QAHilU4?JPIsWWZ8aOe3DlOTA*iBp%z^TR=CW;6u0-1$q9
z#NS;>{hJEU`q3tk<GYn4<B|*)2z=rH4qt4@-2EIrc=E^9S=emnfw-seSn2z<1$d_S
zkzqM((%yUO5B$w#Z`Et~-T9WJHJHBJTA&(My7Xg}8t+q?xubX9z&49RinQ>aOIs%D
z;J%-K;+bK)+xN|D;4397{2VZi>MBPE{5fW`H!rMl+cU5YrnVMQ6@t&-{P$oA=BCw8
z7KUm6y3<d<v5!Qh4#8WUS)VJP#`{d<`A9N;#WwGvfFfMEL=#WOt4vjFyk`k_CmAe}
z@hT6t*-@N=-OGo{$aod6yLH^2u%o0Dk3GDPe{1Lk*vuk5nT$`-wXjh0hee+K`h5X@
z&zGC;3umWZ@+0rZ{9~iek?`@B=3X*BMZHI|=MH=$%;F4r-~KFN7n=<Ki!ZJu@8ge7
z<xnTWO~=!M$@s0i8gqOF@HTOpkvLc_LE?5kaRB|3WSEcXzqAHeTf~bt6OO-?!B!7<
z^2Rhjg*8IEg@@pdaB49!-YrOiA-*3TQUCY18s5I=za2c*c>c-xpCaS;YO3$u+YATo
zoe^q<(<}3GBw>2@v+v3Hl;EQg3R1B5?abj(*sGu~E)Mo6UJUAkKMKF!lK=~+KTep1
z&**$+>4mSJ>sR~^&wEuo?1$x4Ewz5aYLTU!8*I@2W*YRJd>>s?%F3jK`I6rpSb~$|
z9$XTG89BdxorbTp-K3R-O(Xnx$#}{7+8{eQINZ;q;~%^$AVW<GzAl;-{TF`yIA=_R
zcuMaX`JT%usgl|bXVKBjk?%bP=aNWKxLkIl{}FicseL>*d^$-%MGMw4xv0nre>};M
zqz7+kw0Ob<&wNxdKL(5aaMq)NjULh$8^J%y49dyzuWVQLGKA+1Y^;Cdd@Y!$Kc9f}
zeGfPPf^ViAh%|-cLyg>L;mFKl9Xoi>G=sqe%yDvzmVDn%UEMlA1V4&3e|G_XB-8kb
z<mc^kfj3-X4UGYhcG&lkT>nK_W>@}DD_mL1Dn!QDL~Ke@>4q&|g)Ak({LNRKnqcRZ
zl$T`u%*ftoh8lP#W%@tzJzn~A<BvCRG7aV4Y}o$u_B+LJ=CIngLbzlm?A%M3*GxvF
z1YTNjt}TT}1UyG;;Z&*W^g`Ik(PhsE_*TfH4VCbfN`~MT*p~$(CE$)Zx_Z)nu>H-B
zkMH1}@=tbk!`p7XQ+Ny4r2Y8)12*u$N@?)p^GPRv!WH`rrB~sHDz*Jfu+Z_fDLUkL
z@u-i|8tkZX$AT6f4k)N5<KOe9Ww^-ol%#bNq=TEdDg(J-r-~?BGQR$rchsN&{9a1;
zEjxUBl+%C@-u>BwnhWmA7<;+{jyx!NmLKjmwC5FqdEcJO+zNkik-1FD*KKZYs@-tW
zsTX6rVXa$7w8;1vwa-3kq`Y!$dq*J$)A`$PBjt_P@s9=>53@mgpARXoE*T|hq&=vI
zHf4gO&-t=6M*i>MAmXTf5N4LW@aQ;9>3d+OG@PhhI7-I9e4qYvLlMrj@ldmXANyO*
zlJpmjmj_$H0(wHahhhHfvWHz@U+pi#O0befXpk#>_{{xa4fvq>2G#3u%5{aahv28n
z=7D~2_SkBrHvDDrlL{H%vcBU^q8gm&v_BvUKGJ<;MF-w^)H0E@@420!QCEkBZ`Aic
zhI24|=&}FDCw^7J5;x2yNPI-+VgVWd@;>ijI63~+|9qOr_!ZZB-cE9U>X{pEwZM17
z9Ix$#1($R*2Vl0?$0tbs4(K;h^ud?9mVcA$7u7~vF$o`0+WVDU?=0i+4P<=F(Y|hJ
za=jw+zUb^jduW}<Ms|AmeeVHU3HbR@n?eeBx8@tW18{$-@s4$ruhkn{g{0vs+UK>)
z@U9K%z6$WIFDWvMaKbSP#e=YY{OZ?9IA-WZ{2{o$dR+4d{7k9eL>W%{qxNGE_W5!0
zr3Rc5AaR1!f2t;hu4?eP{kML9fp-j~h#ZHPwNG}mz`ZWN#z=cFhj-!CdU!?0LEQ{a
zrHdaY_p8(Qigjc7RsPbg3i#-^tKm0c>YTdUPhs!3vaMmTW%}9gui%8LEUj#q;;~I?
z4*XlHpE46x8u_612)1?&s(1wl_R4Hcf_Hr}q9E<*S3^E{XTWj4mdnU^8rQTPW~nfZ
zOw)QT%=4h|Wj6d*cAHf*T*_uCm<b14{(jg3``b<VJcGRr^!|N?S+_<^Jb`V`v4r%(
zr-z@Ullq|lpu@-r?9!se_8QjND(n0m{>^9I@B!9th^n83{Zy9Z>fq}czKrv5f~Q~1
zC-|Id_qkPgQzt7Wso&bDnx6fErJNE@ll;w!6k(u3e?&0z?vI~g9VH<H8n|>dSGWhJ
zEb+}{gcpWn;yU4By=!x%|3Xr@be>$l%dfliHpALR$~NTsc^344;f0OX)Okq#?fO?$
znvB<Jw0Ijb1>Ze$^zu$Prb=yulo#8C-1fcjH=8oUd3dAr2g`l%!jV!sDwMwi+WSi7
z;6wrO%j9{;^6ZqF5*&AD&ptNzL2^y1I(#QKCYc#-{Is@*^w(UveambcoSWnlYyjuh
z|9r;}n<l<wGJ&sZj`)bfp&GlKE#QeFjR{i!l<d`iVFmjHm1&XtE$#hVMtitKj=NwV
zd^C2}&=Edh6V56Rj|td4cZFq4$F9r5D{7S2F2bL<RiX{x3o+L_N&l3COymYVIKx&p
zGY}5HHo)aT(qAv3ybY&Shy>cg-lN-3lJPfrJV%d*!_yD*3rYXmvcs*)Tkuqvs|4wv
zligqL_6ru%7rI0GXIc2CdKY2$xOGl^`Bl*tK8vL}gZ>ZMB9CUcxa}(?6?{!E?GG7G
zvwb0^i~}}kur%+6b2MKIv%&n8oyooM$x*Ig9@tAX=FbT1c;&$SW>|3(m+CjT)jdjo
z8_Z$Xnmi3VXg@9EhrjMUF--a=gA%E^cflf;IaPnbk6!WyZ--}vQ-fAvuQMJ)qHv+D
z)i4=f!&w@rFAV#yPwl3HW8ZZ>*$0=1<OY%PHHB8+wn)I@uiT8-;G}m$V%qT0tOI%6
z@YBHY1Pzj2wYXXcRz4ug-~jvm2oV&4t(k<c*us+a!87Fl{$=^B;Xd$?yrnMre|_!?
z+TT}Us>G@<itvS^<d?VLj_(ho$#|K?@rZ4quq6*ug*IH{CD<7c>#I-l8o*z>7&PPH
zv_ld<OyS~t{pK&=t5O`=R<M`AyV_h>ZY`tb49tB~$FBn3^D$iF9IUG;GF1u}JBXM3
z2lvb5W;DXD*?2dT`4U2R2eW;E2gM(alJPbM3x{_P!|xx(s0G4-^qkQH@cpmGA8*1*
z9e0k+!6AE&iAKVbLgppYaI83YK{U+n*>vF_9AVDEPR8d@{EY7V1OJwsNlb;a>#5=x
z&!T+FO|NFb->$x=q=zRZn(Cjyx6|yl?10~`f8JdPZ@;=VND!{|Xv!nwC4PzpDeZ?7
zw|!-P3pdLi%#nao)w+$}!N<3qqmhFn`bYB{V4L&Y9x|}})YS4v*x;FVvl8q{P5G(^
zrs7J-Ch60Eu&wmLrWrL<s&J%>R5K;UclaJ_+%65vj&p>O@g4^#GipWQHUTD07Pz7E
zZR#$#s(fOd5guJlR2P6lYy9r2!V3GgC^Enj`l4sFVamG~40giZ?R;<a;rEMuWkRs4
zN%B!L-h|@{r<WA`py*!qDflO|&!8mCVbe85=KJ_}I#%f*yq@<-#}3{oxAOP^EUC#C
z<p3WWVxduipBYTilKD(t33(Ke<1dTR)Fb0}y8Z;Qlk?xZzK1Rr_UI9ql!bHn!t}{}
zHIFDHv=71drH5+^;Ic!KD<uE2Z{{%+!|AaKCdzPeSx8+CEWDT|Mvmu<%^G7pydL{B
zl;oe(#n$=`*olkkj3TW0(}1}P7Ner8P$$3tCe$zvd!!r0lH+x_n;bL-Gk-oNPmX62
z{}Ww=DLw|Xk?VawsOvYG-$>anuuvFQ?1(HP^C?Y#&I>2yWubw}{U73W^m+UFVAJsH
zw>S}J3F*1W0cVy@Xps4)-WvAtkn1tMleJtDzSBMaVFR4~?B^X>_|m5KJ|39=bL9k?
z-|m%G!_h79xyw!zWWKzu#_6xg`A$EKOegc*4eI6Vk@LGkljx-dvu?V3#sp?@F5XPy
zi#{n!W^nuO#&J!!hQWvK0&JPo7e?miYW^LX>;XH~XmF{+M?~FC17X`p{bEH}JlN+)
zFx)0Xxkir1ukM0o1ThC~DmmWYepkDq;E)@xq9pwn^Rss!!F@NKKT5-Ue9!I5fO!qJ
zv6J-qT&MkWVMpgJ1rqSR`)9dcz$Y{sR`<cFnJ3(f;rkaW5=CIfU~`&MSlY&IXfJ%9
z&frWnY@KBlxD$@n(qDQH8z#SHCh5Ot$Upl6XEHp_BlCwn*ONQk3FmBQRwDC_g`C^I
z`W@zZJ=I6%3*+|P8a@e2&Y7Ge^NV?(pws*d>qz_5iNYqk8S+=*WaW7ya=o~Nemc?H
z;(g6RAfKF1Z18kDEqvuz|1z0xFu1yZA1l1+B)zFBJW1V=!~}nnYI#8BGi*q#S>b|f
z#Mf4i!dteL*m02fLY;~(Jjjw&#Rs$WEhQPltnJZaJn-d+nqgD;&DI;CLhzXVqN)|#
zx#Qg8RydLJLx?qeuHM*i4}7G4Wz+$-VLn*C6V@~QEP4)ZV-(^Rhh?a#!Y;tM(Hnw9
z;qc2t%^vW|<oJLTe4s+@wm+QGkWft0=WG&b4TPOseK};|YvQ5d_h9A!woUGX8INCT
zi-9j$QfSM=x}P)mllceDH5y-%^om3Ams4Qd@Tbg&;8W5&?-jthOS8x2;61e4JBwhW
zYagGH_^W#F7&3p~vu=f81vuI3MmL$Ck13aPNDUS(-DNxm@AzI7c@Xxt;A9$s{R}6i
z$??$L_t>)vtNp0IBn)qJKQ*)r^N%g@3c}KJ9*6$HY&8)f0&o>&MDPa8uUS)SGrS8f
za?2he^KIViS=8GBo1OpR#t2^-j-io(>+?4@bHM2bcDV0{gIh1I?}9tF2O4<6_I{78
z#NpG&Y0BJTF|Mr>`{6a!SdRcWEZO9UJpASnTfZNyv#GOP8UDhV92*4-I<re_!cEy6
z6cO;slk_)7VWX4>B`L7x_aTAf@D*Ezok_6q+KnfsuuWfhPcF>H^=^|D{Jecd>j`{u
z-7WSEJk@&XUn%_PXW@bqZ2qU`TnW6y(pu{VTbyLO-U_RI5ZHAYK9cG7y&3lB2z0&*
zAMO#+_zGVsZTWBmZgmQL(N5xX3an&)RQ(l2hCWy*IL!4H98eo|sT=;4wNh{g_I{!L
zc^H-xIl@8aTRmQRUwIJDQI~oc4;w$FSek>CA7VldSbXZ3%?#Whzd<t%mYMrkwhXgL
zWK-nBrfMPge!@rBMUIg9VMXuC&aA?{a@Vs;;mc{B=D*-yi`3KQaJkO*!gca{KJ#N_
z{@IkIQ-W*o5f`t{dYElf!B-|b{J+BGqihR2bo-kc1N?S_&GpYPgTdVt4mf(Iq=(FZ
zdyeA`9UDwJGwIY1KPX^*D+E&&9jP0GyPg~r+XlBSi6u_KOxO1wItZ5sMXfHt?s2+L
z4!{?KBAb50Tw}5o`mlQU>Rw9B=X+b|xUeq#{nY8#8)2Wxdjpnm|E-T($b7&h=Gi)@
z;D1Fyr^$T5jJjG`XJO;^h4L+M)o)Wa8#rz%kBS$z)>?3Jg0+7Mo+a}ShadR&)gBI5
z&zju@yNt_3UV@K}^6HDjdYcq}d&2tdBQcUBy=$AP5A2wAazPdz_|#T)6;2J<tsoEE
zMmqBcz|?9<@v88y{f;;N;0yF_18VT-(Y4{5ut4#cvJT86wx|~j*E?4P>B8J8p*i7j
z5zT=SW4O4=oAWlDlEo%!2LHUxbRn9g7rzy11+UKh?v8?&N}WGh!{<5f$R@y)3(<Db
zum?lpcCx>|sbqn>aFae;oiF_G@<yL{xPI@@esVqzK`aO2;I*+69prqcwtGe=!(2kU
z4!gr?YS(lVVF9D0F_M3Ci(OC1{L;pg4u%f!{XIjrWPa)W(fx~7@T+Ns>TEdtR+hB|
z?0@B`Ogj8sGVZYsoMb#Xmk*C=Z}ZiJW!}u@yny9R;<qcqqt$^9m9SJD=ZYLWZxXbv
zoY*`vNfK7|r|)fm5A0cY7lpsd)5g}rLn_xcZ-?t5{En0Pu_>JTC;8#U|E|!J`LWGu
zETcH#OPBn-#4(?CZE0}i63YLX+?+B=xZ?bu335N2VVJnA0#B>`db0u-@$kP<C007m
zM}gl{$|?yQfe&GNj(>=s-{)zk1IvsW4Q)i+R6eHqI81T1<`^~HzO9AM1RmdcAe#|B
z#Wn9}0Zac*W21)+N-r*3!$r=%^}O)A&_okQ_@>7<DQ@_%_DJG6c*jAb2tinzlK%Gv
z*x9deMF6%vkr{ds*4Y{MLIT#C{PfKSrc3_DBL*+{?~w2#aUcDQGVp4^m5FeeSLN?f
zlAogUZTq9(gN|o1Nq#F?|BEE^pKIpjvyl5Uv-I>=GXJ@X6qhr(J`r`@KgoRSR25S>
zB;GTwDNp8We}7e%Mg{KP(3AfO&Rms#E)DB_HePLo*@h$Nl;AwM_(C$j{Y#sPK3VwL
z5ce9H-@f^tn*1U7`36Oc30S@KTslcV8&{P!1q*6o32@lw8MXBvSkI24jilG%zn8T}
zet*zZ;t1TxQ9w=R>%Y0rEuNIGF;^{JTDZ#U?SdZcwpR0gC(OsUAxRy+N9Vw}2Y%_P
z_v;uu6v)4J27YSArcLrgVY7XqH7x1-agyZk-kvM&uJDnU58jBtj<FRYE^zP36LzHj
zvp!p~9tEr1PrXRWTZ+a_?P$0;qpyXOM-Ey)sx-Jq>Pp5IIOnb5F|vL_b=a$QQeUP<
z=;l0ymk)ZMBiHvq@1KKtaKQT1HnM*Y|37iX@bJL1u)Q$V@iqHqc>CoF9#Y>3c@EOn
z!CaEGdHyi|&A+DwKH1d7pAK_I`FyB{d)T;NWx`V|4(3g8>-5!gMX=&y=|45_>4(+p
zC2*LJusTUE^?KpdTlk>x&(SJ4s6qbcJNPB*nAkh`#3^UpkMNsMkDJTj^9|33o8hw`
z6E~CfB;;EMmA}F@DW^(`VCIKH?OpKg7rGl>!~Fs#lEbiC?8dZw*!9@Gno(G|^w*D9
zu(E26;501uD))9S9Q<)Z@hmJcmDKheHa#fAz5-ue(Y=^WyyL&ezu_27rHUL_Y~v#;
zDtoj)+K-<m`QK;oHGu~Hv8Q&1tY=~1e8_M!Y~gw?DivPY?)8lu&TLV3B5@9CmX-Z*
z(D4pB5??;39w9^G^RI?7;gac|R6V%;+2OzxxGj}M)({>E7q%erqrzF*=iozuPyZ&v
zsVBPnoME%H#CCH1zrOl!HVA&-%5jOroopTk--Q24GU=1}#VD!!58;yu-m^)tda0dw
zI=tnCx8Ea}$FyeT72NS{K=1+FHnnuM2+nC5$|J|)plP<R4lW8jWON^9I2K&{0Y0B}
zM3lt$g>rTd!@PGA8{=RO26fjlSh+USA`z~7{%Gei%+)*hmz3v_)aKF^*p_KogQU0N
z|Hnn)fc{rmrEg^Yk8)?>Tq-!6)}S&LrtmAO;D<xb-LfX}m}7&++u(_<iL>`edSMm%
zeQ<A9bJT5E+ScKr6l@wiBuMV3L;v2Hsl#H@Ox2-qY}Uk-Cj44qyHPkCw62|Q20Jlp
zEd;}5T>r_Nliz#za74l{hj(Uq!~5>tE4T??4AxP)4!7y`wUg}+F|IvMfgisfyBG#5
zDD61(2;LcUrauN&Hu}A>5$-%~?nm|)A+SBU3C=CH79sa5mgiDYa6G1JwG<xu5`Oq^
zBwG$P`nf@Y+%H-J84c%P`Er#6a({CB*vUA;vnj7B+hE7pnLknR4tnad-S9VqEc*yJ
zBKu9_7%ZE>FJ1!gd9``(G<@(+LtG&|zp=OMC+teKs9Ou?Ov>`D!slX>ir&F`L8-QX
z;KE%m*gnG4rhlp_u^x=@FQaQ8;1SzSV_KMRpV$6w_yyC!SIqFG{p^Wf;km%vKddl+
zx8U*soX^8#!3|IImRk402Yo}*dEq9$y3#TD`}#QLc9<c_V&@24k@YQlH_Tq--n{^O
zQ0Oj*!x9b~G=9P#)LRwz!FqmlsjINvExANF__J&Dre82?+1n9$SY+^l?K&JbEv$YR
z=3)_S`U^)fmfTi{A9U^#rg0+kg9%RRz*AaTcPZhc2MeV2;73kRrs!c$HGyao*l6=^
zvrVv~N>Ps)d>~3VpB0vo5mY=4AG@B)%M1_Fo&I<h77TmXvK6lCY}`xM?^(=bQ{aae
z!?#qp!twi==fvQG17ZA^;GMo#%|+qc4a3j8;qWkb7DZU}*h!`UxPj*Dm4k5Yn>Q&T
z@N`sz#8Fs<NB&<p+^!@VuLZyP?|I}s_^~#R{t1}z;ojK<c;61sViP#B{rQa)_{lS?
z|Lo!C1CoQ8aD7RB$645HvC91kJXn4Ijwh_zso6@_D~etlTe<)*9_QpOfJ2zS8eWA1
zgdSWigZ)DVOE1B17StH3;QiJA+-}0GNgvPG!7rTEx`JT$CucO9VRnH{6Up!s?)i)_
zu+cXS<3zYI=@Q!z92E4Krv^Uql*9cyysWn|uo~7>YumjHi!<70EW&2}ej#gcf6X1H
zd02<b@6$Sb-PzUYH(b8GGlHzgv@y3pVF~U&Fz}VE*Hn=Z9lHi61obcPCUL(0782(=
zGj~V?URQm+_aEHAc6gnv{}gzlV{HX?Z8&vA0rsnTev;xG>Zfo$M?<*oW?A$q;`U5?
zx9Y<uj($7%6K2VE?6ZW8FZR<<!B>qB$DD!>SJLN=zzZ+C7S6y?rzm-bU|R9;Ggk0k
zbqm`T*gH?)tsN|;fBa(;JR_bzM&f(yzLXWfR^Mec?ct*7hMg~AsjB&xHn8pX?QW0Y
zcPSUxo!~6q&7CQ*@k9L&B)!q#;p=hmk@K&{ufe^a=}RKu3d#O`zVM^I9`^gNN1nVv
z4E)FOhF&C`rQ#MJ2iHE)draat*M@$P^|&sT?`DgIZ+r6}eh6<oG4D*S@6DZ253}Kc
z?ArDRaI(=5^DFp{+sg;<;e^C9uBGtIo9k5M`bwVtyWtIddu7w>&#-YCWmOYgsugvM
zoPX%>NxBv|q2Fli3!E|4<Mb6ao?_8&gPZu|UUtD<JuQ!W;3?KJwjubLa2Q(`%p%EW
zF#->`9dRM~eRz61?>zjv<Ee5lY%zYzb`egncZwf{&s>h$PKEW(3cr`08-OqCZE&H1
z72kNhABPt#18(ubgBi#Fk@&)&zi4tsf8#4!^Y8GYTQ92)eE8ytkDYLkx?!C*ELoTB
zPOh)BpJa#`ylFX0tr51rma1d|M}JxwC;4$igf7Vf&Y$))tb!vHt{9Q^-9D+*E)~Pg
znk+MS;3|>#Et#;u^8&d@*wE?x-sf<p4)gsu_}+S5^i%l9qmn_geqUUy%gihIpD>5&
zLwL%$#w;IJajOnXgDuUS@?XPUg91OudVvkD<ve76JexmD<-+N&ti0a9avl=*$ohl3
zH$Ceuhp)tq_mK4m&t>S!k^7guPeZW+{wsGsm7I_H9Az+B&oFcEf!__Vi_n?TTKLF6
z@3Zyrn;knPKEV1%w^We)IqjyXI{<%o{<K8m2NmezhG2#nN5fW_T5d}LSue8t@t@ES
zBz?o|8d-0W>1@;piLYE<<Rj}{3Kp*Ok^OyW`)bb)>tse<BIWDz{<c72_*qoXa}sAa
zd)p)m*B3j{k@BQgY<EW<F6RpABIQrL_*91?JQ&C-(*ge&{}V&jA3gq$pPKA1_uXng
zS%38UtBlj6yrsX3PbTY|I_f->Xop3vrHqsHO~bWzg^}`RtfQEPfqzvit1RYU;iSGJ
zbFMJ6^1WB2Jat_gd43(9XLJedhQ}sWR{Y?lxXHd@nB(N#;t1Fzu;5uAJd*aD;x2s9
zWdEjb@MynARVvJE_2cUxe1+ybeHz^CWh?aq-p%^2J`cuAASEg9zU+HBUct{-{4Gg+
z^=7iX^)2kJz%53~d*6qjeDC2;19w7Z;oI*1-JfAD6?U@;*mZB^&M&ZtXiy%hk6j)e
z8ySJWXRP>5!<=$a;@{xBua4cMzE!!#H?;`=aBa+)gP%`1%98bXPk)!ACiUsqzqv)S
zUN39Xt+oZ2PgnC0S?^cGa#8#*d`Rr$+Gf~DOm=M<Rx%Yn!UNMvC!bh{_fkFEC=5T|
z*1VfM4`yiDj+6C}f4WHdQ=<O96Bx}x)?cQ(WMoL52b=BI&B^-9-E;*{Xb|VQrTUtz
zpZ&{AnVkw=GS8<X>pK@(C%Z7fI+vuY$$INssL~ZT!V5yVjApQ&%!W8-Sc!YunXKm?
z;o`GK(jR(tzKE><p0)V(1SiZHoy$emm;dB!@P-Zc5|FeZ>&sW`<nZvqP2b$#koB?~
zH}Ly!f$!R^(s{y(vR*yg;PV{H=e*(Iy~An(@I9XouY6$9l7q>+;Bjtdjv#nx@)7k8
z_^NxVRS4|%Y5DYCSo7Ctc{sd9&7xMA_|P@lDA>m5x!`{I#`Cuh_u(;d=1>WEVazf=
z0sdQQJuC|+s${S}g3Vu)9+iQE>@_UX;e+?-GnC-F*>_5xz;3lR3<~g4#eSM+FgMK$
zdo|eZhqqk;yxns{(;--6cIS&CIDC`do+B_DwHtFK>|B@-p$X6ZY)-F+sh1?w&0zmt
zeyRp|U(3ZO#_-MepY=Y%C%r4FE#dR=LeJXZ<1rgt%;DEM32L42iM4RS^YF>V$wve5
zUCoA@j_}Sq?sB8Buc)!o71*1hK5i18dl;5}5grb;5SxR`D40)%z>|H2w|~KBvQ*v#
z!n^V}6mMX~^Zc)(a3<VPV7GY_eBilVWE%XT^!G9|%qGv1QU=H0us7Qb%WqPoc@0}}
zYzWu}@7uY}wHxld={2+)mfRr!<tr>msmQbs*3n~8S%nREy>^j<X=H^mmtjefXCrEG
zp((GE;CZ}XjmxR)z)lJ~J_*3*4xe^2hE+m(<PO1k&*z&@!9JIJQ<O;DQatYr%%WiR
z%oLuzUC(k3b~$o_(-{7ktD@uqKRLPV;{{9J9!b0k+k1W=afgrH+9%};>uXBI2f)Ww
zy6y(UHQ`&={oti!JI_1tm84*%1Xziavn?7Pr*QU)gZE6_I2RB1#6J<vhG}JGKBU6S
zdv8T%z^*4}pJc&|!$ZjxaHK;H{d0KJy;ABjn1)mK(Mz~xdbXqyF8{T#p%k`jtlstk
z_70D@UkRI~EwpvP)mnzXYGD6oRSI9>=X8c$A7OKK%A<3zWH7gUJFMbd|6&>zc8_)F
zgJ)DYxLKTW{SqB(N8wD5R$oS#?F#GSG+cd=d0ZU6bbQKq3Ep4$UT-g~yX~$2Kls7;
zLZL34pPe;C!-o1vDve(UuHL`%JtNF6R4!@@|L4QHlM{{#wY_TtPt<HJ<A(PaxM{k>
zyx*Al1mV9&*m7Orw6#Qs?eIe<u8o)B@QvZMB5=CmOBXMAka-)s80?#0Q0oH+Zea6}
zhF@0eihIMEtJxI?;Q9!?n*s1@+XDe*Sge0=+7JHww7uXkJQ~*jC<?B$XyiN!2W)iN
z6ahaM;K<b@aWVVy6u2jiiP02()iJd_39h|VeBuP0<~i<@0Y{I%EIth<Sezeu1Uq`L
z8`#2=k1g)MgkuZYUYv(FRd%kufYZhOwA|qD!8Q3+u!L4X)+Km%y%KjNd}K*w{tEp5
zz<!Tf*mhaX=mxyCD82I?>>Wp)5&-vJjg$HahuJfpz6%d&x~`M-P9tA(qTv_%r_DdX
z#`#@ziSWq>@7|E~2L&ISCd10B`8;3X)Q;T340tVo{l;gw{(-4p4oqn>DLn!^?LPf1
z5B@-}^<WUzlU|4_hF#*Q9<RbbZczTLgtwhL!Tbvr$9-H5kI1_f%)q(#_R_qE>s_jN
zr{J5`M_<2%^9nnw$o8ij^m#tO4M+Cu8G_HgaBixFhv`(CI^jYQ7x89TdhND!2VA!+
zbf^)&Ae-6M1pk%3{-_&%EGCmx53iq!HSL6V&+6-v{B`&B;Tne}HCnmL;EOF$A4cIH
zk<*pr`cS4C|M(5xjfwyH1im79CV2%;^De%h1`n{(RWP&T{=25p@BkhgU~y-JKmD=4
za1VaQpk=rp<_lzW3x<tVRjDOmfhsAk>+s(2o_EUdgB+_NQl4d}TQ4iZqi(@B-Qe)V
ze2ypZQq2bcBk;#vzIEAf+M?VZRhUcULr4*9`Si!U0{Q*GU4;VptnKy$DY)iW^J+Ex
z?`oYLxnJA6qMud4=4BKNyI@*RF{XNWruox_?eMAp=BjF7k5Kw8yzpDDAi*a1;omPl
zTS#13yS)L{lwjLI>W4oAU!*_7EL2!I5gwqAAO8e*<Z?+;!xgPU+FxO{;hq=@c#d=A
zcRMUX&8@hK`i5iD@l-D?^`PhBGJIc4n7JE1EW@om15=AV{%;7L7VXNNgq65OzL4}1
zMMkULaI@eenNj%lR(9)7_-6i@?<D;civdjw?Eax$`v)x0#o*io^9!22An9}2LyF5`
zO^dh8Q*gQ7VS!Tk<)p@?ao9++>|72kqVxF646HHl^(hNB<&;pKfV;D2_(**&78jQE
z6V9v6@{fjjAFxqRlk^IL&E)xT=8(PZB23xXA$<d8yFS}63*Y){aKjDm)KnDx1xu_`
ze{+G4Rn*;`hcjocOIgC{ISfBnVM*Kl@#gT?Qx8rq!FO4oj2?ko&UY05h3S7;=xD**
z{mIV1VU?@#bIS0`we|)I4t&2>X`3m+sXTU4YlwI7y-gE^mn@_2QX{_Mi|Zy~IEBVS
zlM<GA{`C1aIOAk+1|7Vu-i(txUz>PzPtw9>JTax5aHx-aF*D2@qa?@<%bUqLGs4DJ
z-nDe_v-%Sa9B}(VK`~nRdnvy!8@$u|^yhzgp7SXm?Bj+#izp8Mg-5mjMs0?h+*JD)
z;NC9wIRSWvaY+3qEW7q4oe$Pk5uErAn<@P|BMSG0oh%%Iuih!*5{55nBv|yo&ch$t
zWZ_Le-|y}qwhq221AmdBZEAw4xx>CG!tK%VQjPGFXX+2+;Vgrm&T4q;CAC#mIFRMM
zN)_z3^KY&SY^nZiv>487nLe)v-)n#S;wAj&Y5LY<aO&NSW>4S)ZZ~_)VU8eXA@aTy
zepx>11Z>t|QkMib9B0vYfcdu?-n$Pg-mIXogJY)eAB==K1JZ1qVJ$(nlsm9Nivj03
zxZ2TNBM1&0V)}d;{@Sm`;s^h<EDpX1hrPH{cnMYuc2p07`9sg$aEIr`nSS}h8;1*a
zpM%E@228_X>91SwIKW<PL3B4s`keDpr{Uih`0HX}oy-GkC*d*c3h!vxX+vPTA)MKv
zeJ~ByI(^vn7)d`rI++S5szq_C!!lU4G#mE)J#keP_HoA&9`I)~1;K;xi*2vUUcu3w
z-zKEsYXQgH@?ri;xx1q9<?(+_CGek{Vat194cj>XA~<lYJBfTB*mY_QR>0n@qLk$O
zK<dAq=rWRi?Al}U{c&YJXucX|_NZrKhYcU{W>vvqZ+Hvn;I{|fP}jqyxpq9X@KW7`
z^E=ooh0cL|Zz%@cY-oVT*N!)m@3SNa0bi1yDJ{c&66V`q*!u}CKReMu+Cw5GbfTKz
zPG9Bg<a^YRu5YFte)jOjF!_G%+2)@18LpIR4<+q81N7?~y5X{7&KdH(9_PBp=?m;5
zTdqLb6Ow(O)%L=Jd;g@8_K3#D!`>u)<Yogc(q6G^s=9Ls-uB<^r=-2?vXR-H0r>5w
zf#bQbXyE6GZ?OMOp5h!hozgyK6y`YVYDL=53e|i6PQn|nWmc2+vy;95<^6zzn|?cy
z_Osx3m5uB0>fZ2p(tfs_a@21P9^oES34x#M@+vWMqJPj@md+oJ(T)vehBXa)&xXPN
zyrPt1FqOIfFJIWT_NBfAe8_p$khGsVOkQG8h84wG`2t`%589K5;Ml<DUbkRviw~Uo
z@OIlum0&od{LC3cIAYB_J{*pZt$uR?<~6ZcBk5zmSu>u3`_-4sqG8T6LLZ#qtCbUi
z<oG|`spWEp)#m-Z$@v*b?D6t|4L4sJAnEguwpMw;PN@v?NpNAS)HWY@ALXCq1h~3)
z$k`W87>xKu@=xQKMnf>XIpC^gDr}|s-1ZjCYnaTE2RjFIR^Npew+47UgKv0!Vvd1B
znc15QVTwfA{}N#~{&}fau)bBv#)q&2BlEX+u(9b5`)pWQ`@7CtI7WCPKL=ja_R1jb
zLF*gMSo7hFZ;#T|!3+&TR<B^EE$wGN!Ces%Wu<WRr;NIfaNc3-O%-sZx3~}~f4x&5
z9p1x{?yJG1`~^j(y{d(0+;0q!_LxmVZ0yajeYUm+Y2OQZHF>%PUi$knnUrtKy%rT;
zVJ7!T%6_=unF4(`+`z|SN!n*R8J;=~!6D5pRir(b$v3ia1a@sU;w9}bjlZtzY~ezC
z@G3_SX-_)B9lXW~+j%DVllG>J0QJ%xFt=!j4mtkyR;~Yp;3jdapCo@)jed#jgTHEr
zmsY}Rt;@aQ@TM<ZXNuq(+m0$8fQy`SYDoST6l>2&!4nsxTu6IimD}Kx!*E=_;ejl8
zMYhN45PU?nr-!ufetalYt_2%U*yF!1sNenh+%(`#Kj*&PgVo%V_8P;XC)Zw(@)+fR
zuip?Z{T^mU$}2r>lhR38I*Xx<l<!mft7lDNhv)HUykWt*UwT&Xou)0dm*J}nQyVPc
zw|bc_Zg50Czx7%8ZnIFU3oPwPQ$x~U+oinK5^htG*kKP};VB6)hqsq+?;z>-&S{Dq
zhXv!cWX{7qnw8=DaDb%3xFdWkMps4)?oO(zxC8ed^AeSZg%f+|BjMuA!N9}t8Rrwp
z)$q@9H8n}tm{QoV3a;qu`@S32)=J#!z8S~+tM1r$^gp$a?P+y|x9swnC;emNZxbhi
z-~kiut^ecbzT>(2{y2bVm6DZFqO7d!orn@;CL;-1l@TeFNFpm_kFOO%QFalbkWfZ;
zqEwPuN@PXxd!65(&&TWi`E>3*=iYNZ_k2DXfIaef(*xj}yVe>z;SSw$vsn0cdTT^0
z{Ki&+E*kEc36O1oe{<C|r^8fl)mNXvm(M79r@?cjf3wQrOY)_1`LNAuiBkz2RJeB{
z4_>fwX3B#ZMf5rP-~$S>4oR@9<fwf=oM`V>p9!bB#Wa3|;~gaTq{DU&V%vt{fN5vn
z`*2j$;Kd2pL`>jIHr(uS?fDcuNMp0V0G{>}=A4DE2eD>6fD=qQ9Dl<JkM);I;bKkS
z<`tOc(m(TJ_|0Zv)_-vRoLqSYJn;FQ8})X4-uU@>J2@Wr_*-=wVXkI2H*&lV$M)@F
zfCVU?^;N-sv(x99;E!Uz#L4+Fi_Lhw9WKp{jje;{_|4dN!gGR+-(JB?!ZqE(aPj1y
zN2J~^;X1b{ae)Y38=Sr@?kfZT_xri)YuL+VzEuw1MmPPc3zqz18gdxMmjt6peIvU-
zpC-KPrOae6tZo+^Z33sL9VqF5<J~Min!=Zc&e4+n($n5_%2sgM%~9t*Qtve$Y6CC2
z(=`pjFV7~8JHQL3!NO#}^^oyZx%2S-JNY+9;H!H?;@n`nI_@zto@6^e`gp;n^`XC(
zVTV)y4f?@+Ym3H<uoctgD?zZzd&P~LFh0*YN%h`_KWp4|qK4bIa9xanh5sAkWP`J1
zhT4<hY;iTeZSbAiw~lvU#(7U^epuy6N^=fu{IoZL2c8hkvU>mz{oZ&~8rGY2tS^B_
zM^EQVz^{#NSeC;+i4m4+@XWY&bq#!=>|>n@Oh0n-UIV;B&DC}S7LYWdY=uJ)*h?70
z>uzBg9dN|G@ZmFXcck^-w{ZRD&cn9wR84mBd-&1V&jmNwJ@@+J7dY~&_$hL~7^`~|
zHxApp)}r%=dA$pM{eTBTZo2xyOgFYf&cPvi$^V}ZmuaTI{ehzu+X8PRKk37(^cSwk
z>Kh{SVetf264ef@x7#QW#=-_qugTKFQpL=3S?~p6%^7xhGT-VcnJ*2hI&X8rw?5gQ
zC-WWM^U5hc_}-)7H~DbjGUYx2xT5ElAh{nW4S!D*gAGTs!pM9nx>aRV0uDZvJ@OPz
z7!XibfYTpVYLff8_WZS&eejZdMFzRwQ`|rIQw<KKct!CH{!m({q7GAVH=2|Ew;|1f
zRBf1Uy7T!9`17GHQ@U{0={ELOSg>aCh%wCL)Z<O&&l7ogKmd11wD*wt^F6iJZ%g=v
zSBLx?SosTPP&h2EIf~4mD}0%m_VCZ0jk9F_jGo#0(-D3ZTCGF&=K|UO>Ry7=49beg
z{At+Zn(7XRFhAJ%1&$lmGrbANx<s^-`p&Db?ghdZF5M6y`xV=4DkyKm+0^GlNqy{u
zykR69YH9w3>~9>t#zKDw)-l?XN9q-ZQY|uI_G#t~Kj5^Gu&VoTmi{lhZ*czr8|?$w
zS$U{t4jy*<#9Ir0*lIOO^5>yfF4e=Q_Z~U$8?O4hbMhmsPG|p`tZ(%j>J)}y)g#)x
zvv9NN#p8>x(vhp$q&?%qyEB*Jm!+oJB(Gj=e9FLq{Q?7<R+5|R_-$f_PfRKElYied
zqH{<d4pB5>8iOwuY>bkHBbI$ChhSUlLTz=}<I>&hWdEqH^z(`uyj0W1Px?nQsnF~w
zye;rl2w5M@P=DU63HKcd7AO5Ly_)Nw2e)5hiXr_k8a%K=2ktIZQLG}qo#tr>=P5O%
zkn!as-7aJRPyd)bSPWN~9{GA2rrEth^APrs^hmIPUs?(m-G!eV+dF3mZ{F~LF$3;B
zY?@<3>MQ#z65+4zv=ol8{BvUtay>Z&$v!>@yG{qxhr`km@@+owAjiZ6Ssyrtp1ST0
zw~XzGChG%-jdvA8VJGHA<14UwJRS|g{SG3lWIb@;j)-**+}TwVWCyE+9%RabmHOvI
z&0%GhGi@bs1<Qk9Ch%4n&+A2SR?cve9^A^dE%7Dn$U0D~0l)U$edGna;}DBIxnJq`
z-pzRpf4FG<nye3IPZpXq!_BN|7p38b<e8B_aM|PI+}v={)n)0wa8)F|mk_L4@qT*C
zPK-xw2NgcJ&Gox7J$&{YZ{l8f*uHI%6ZTX)e@Xym`14hBH%yhz`&b-qahdq;0LOFY
zhOod>d$^U)lh+FweddI17$Zw>!R!^B4$SaBkDm1~SoBjv9S1z%S#-1=_E&U}qJ-T)
z>MyszN1wF3Bj2wPjy<ool@r&Ok^WIK-`uhqjbeZ^CB9^SgB5y3Io08#u3Wlg{lZ22
z?7Rl-Bk>?-7_KXq2{4CGE*^MIa<;-Z-Ij3CXcNyDSn%482xpk{ecjg&aJf#+hYRqw
z&6+Bs@W(T@MR9OE*Cl>3Uvjmu{!4(*n#}l+`L5{0vC14c&GnHgnIAcKZrPLz&y0&F
zk@gBu3Y{&2*)2ksN&U;gxVYzVg8I8NJ8`^|I~!&iVc%fErtL6|1B+w_yzSevAnDJ~
zntBm$VK3Q(p$hPS8WTQ4aF%;QtO30GPH^xm%<{Hxj*OSQtG~S_;qU&Bb56sj`xW|U
zU}nZ2)E4lLo&17xaObyEr^);^YVHvD2R5pVuC;-eqs)3&;mzYK>`rj+qjV`ME_|N+
zCF*4lAL)<xr-2jQ6T4jDiGf|ptT3(Vw>VNi)6aRE9bVjS_}vYbiq6p#fW>wu7Ln_r
zxi)iw4=(kUI&l^rxW!Q_4QEU_Y`2CDr<rXe;r#>Db*Au*Nr!1W*xbO}o{azQuYoG(
zV84$~YRU1w4lhY@fg3a)bL+rYJiDe`;b#I{y^P>uf1!K6FmuC_l0N)K^Z2|U%<=VD
z9GTy#9{L#Gf`xae{wDPSRu8knV2X%%U2?vdzN}j$!&5KM(v$X3Uy?6Oh3l?Xp0k2W
z*ULBmh6jT!XH?<OL6%j&V5)NVB+_4}7Vm28*@gYkq!#5p@cB;qL_zrD=%xfQ*ui$&
zoH#7?GiP1|9@rbCE(QBX4eQCkVi{qXim-71)gnpw-^mTXlwjtT$29xktip|WGK&5(
z(6pC_-<t-cABJxy+^9VOw?u@k=)iBywsI@OE<#&$_2H>shp!%nvsJe}FoA=Ax4%0G
zKW<4{Hid;hQA%mUdmHYau!6U7--;ohM+y#z=GwrAENdpo=M|gn@>Gtn=ZF2;q(4pt
zHX5IYWt=Z$k^7m3YG<h%Tq-<CLC$Z~`M7K^`188g7H8OUAZOhVe)4wuydx~MflDq1
zzAwnvmkmqEE%t}PRd1ho+=uTSU3?u4tH;V+C+iD=swQWW-)?=yN#+mxOWgF4@IOb+
z_HI~#cA_L0zQ$4HOuqk+xAm}LI6UUDfs4#%Pg^PH1K_B%n3@ULl*=~p7CisxtMf9P
zvVmitKiqlToo*Gj&-5M)f|dB2YRG<i>qC+2zOb5-kp<ar-^4ynLE2Bb6v<@>A289k
zPJ#=ymaiX!HDdZV+<{kV)x@pgmgGZLIdDpFP9)hcu5BJz&x5O<j2*ZDN2MG+T>@*J
z*2p0H#nDyMYh|#~znjN=;CrUlmNjru=lf!^Urd$uCbJR#7o@|O3g7M1{?`WYuuQv1
zo?mWN9X<FK&gS~p`4m=SJ)bcI8!T%|RlqU7m1Doc9Z!Szb;2UPuYZ1ncNV@%Zim@z
zpM05x&o!>y9fLVCwAB8<s+~#{<oT{RgU~wXZv4H{g6|?Wc%FP-&@qb@wyCdgv4f}0
zH!JeM^2%RtM!+WB{Ru+wNE7Wy7<}zq)m~XxyoEir3^uTf58V&n(2!jzg>Q{`y*Uj3
zXCP_b1AAV#6xD?bI}TTO!i6HPmrUS=uhKhb;d&d34hy*2UiBK;uaG~mc*zF7Rv@`|
z9Zpf5=x~4o%oM`^!puxDZZ5F%R{s6;*bjO6A*j;>F8a!!x`lZEXC6=3Lw(2GHu%^?
z-wj__<0PvQ6Fd`}$QuA(+5Lxt7k*9~?H2}no}RJY4cnV6blryEH+`-WglP(AB;sK^
z^=^(m@J^}M-AQmAS8<CR{L8ReG81-qnIb~=i$dB8dvf6Ft?q;BaBO9<Q~~Vw@uU*j
zZ(6L~&rlCvNc25^8@`vmyYwk+=aKa*5>~xgd#?_DxYcku7v{76O8E+Qm=`f4`=NJ^
zWh}jcrANE0pTl~?EhpZRd?dTB8ZP!foA(ZWIu)>;>}SSU)|?rKOCNE(BlV*Lr=Lv1
z*OwM0$bKdxe;CUzSouXw6shlul{z;E&zmKUx50OwS-$)O)7zXp(gL^d+RXMBF4dOK
z=!WG*6g;T7vHp*m{?`G&zdq4O13zqOJn@d$k&T}ozM$*#qz_&yZoA9~e;hER{|JZs
ztn{$MzmupgyoW0m+&wwrg_=UH@9^n}`+a<H|2?zolW^oeQ7<9bO!1#6*&kK6vg?<C
zSG99)FT!t}=vma@j2f*uDHp7l_n5jJfkpoNYA690X@9rZhpC&@PaTCnRqk&xfzvDc
zpK8F@*>-O~2{ZR*FzLhGXI-yY!GjwlF6qEj42L+*z@_Td+!k=5VB*#DFhlBLKQs7`
zdr*rD>|D3$oefOuGAMKzUNDYOu!1lAe%a;)-^ybecZIzwxc2(Pcg{s?y1+~FY#l+c
zr4Zx7b$GeKO)LVQV+b|51`qSDJiZTKEs5snha19uO)_BByL{CH@GF<KpAX@EN)?wV
zFJOJG>=u(v{85LQ239{cJ5T`sZ05Nn2tT`OdhH(Uy`_Rl1Xc?E-cSTjCx=|rfj9qF
zKbs40zRty@4-1^BGbg!6tNeC*cwzI_zob3RN^O;n@FH{ETp{dWJW_iT&YSIxC;7f(
zSFMBK!q_w6B!4d(VV@4~%1;#~c~~{irn~S;(^@BKe>qQJMJY^4A>l^a@5{}8vJB2H
zZ*?HKgNv|LJ1j3eLrZd|rRuc~_|vLI5oxbbHfQl?_;ak+u}paKUg5D3cpFd2-7HvF
z@O17s_*z5rp;Xv9^81k=aJrD(I60r=6MBpPV6*ANw~}DGSA+j;aK-bq$e+F>FAn&Y
z&H)dF|K3gV!XKWhTyW+1-%`>(p`YWcR&dpRMy5w_$Ecx&C8_s5eySRd*}hce3pcp9
zJbeM5VKnFPfvIl#l)Q#Z?DTjN;5^|BhA#N>#Rq<|Fz>isSs$!<ZAKy+K4BKNZ3uo<
zq8XJ5dof#94#OV8p$AG~#bY7tlW<|kz?~wPkIJED8Wy_1u2&16+mg6*9%i1mDX4*c
z`PP_MVgD@(kNe=OpJd!9d9Xgp^=9sY#WH2tH^JjFMfg8Wv417ta)kkwSo+323`dV#
z+sOj|H_Ora3l5O2^xg@(eKM5z3GcbB(ar_GvYrTDgiW5^6x{>!hwU8u4O3b@=n{tM
z5)LI$UqpYOnv#@)e~r2Rrhuz*0s>@Uzl$4mx4_|kjbD`Dp?|{po8Xb>c5*6k*T7Q>
zCSvdV@rU8uoFN-}SaRyeJ}tP!cA0TE9C=YL*#KTQVZX>peD~8gLzsDAb~8Urze!N%
z6x{7lBftxv7JGZg0#>`D=_>-SxbOOF2VbN$9}<MKBf5{BgB7AiWF_IzPFwoR@Mp=j
zSyI32^)4Gvcxf(BTL!+IIpZ4v=LJRC?}abeRCGnbG;U0_B!4WtD)}GW97wlI3a0<m
z9FPn<y|{gOA8fqm_@O*lwDhu!EUfmFKj9&~Rdg;)8CFzq{9Q`CX?T*<hu0oFQU(k6
zS{ytCU*HP4Ukyin*T__bB~s2TKZ7S}>lTl|#j;ZDy>R-n4T~Bq=Dow|Exb|f-T9-i
z{gn?P-{FF0lUpQD4(u5G0W&GQ`b6?QR0+Mpy!ia#SKmjD=d{aRK~cE$v4|LHpXWZR
zF(tTy;^ve*Ea|^}p9-wwK7sEVWBpvOm2?<(xe<{`>bw8ie$#|m56&(gh8<)YADF-?
zyb|T4o>PBp)fDFCiJ>F^{#!B4>T|FY=d;)3c<BUP=^f!#Q%)WoxT&PA%@gi-R`{p^
z-?;U6w>P|TG)_(*wo~d}Nr(48VWK|>2Ni8Qb{F;&cQ~sBJLy_)ErC5w>F|>FP-i@_
zegwNPWO(Vql&?B!pTg9eH@_qG!VJ5%)xbX)EF=u!tLz$X4RD|4i-==zSn~AtS8$G*
zt+F-Da(?^O4mhduMT#XnzhBJlE!;q#pLqq&t2^B_1Yhu{T62ewn51r-hnolA**C*%
zbK`ES@P}@`rk60+h@}f9ALgI!KU#-iaoN(g%`g|gw8(pS-+(OlRya%3-G2o3qz%2n
z0$W8s`t%u=JDMi21Ku+z8Tkvockp)*H(a3Q^!*1+>BlOz2iDv0HDwLXJap-{C>)o>
zzPt)6e%Sa~9DeF)Xh3}l&qJ=CQI&_ebo`4bV4C}P#+2YKjB^&-;IEATG!DT6TR5v3
z;R!{JX-&9&f2bo5$(<kQ>cjD;3z~Pq%klr_4B?-DSguIG46)~oPQg|h(!HW^5jT6T
z1>BK%X0IIFvU-E&3~a!4JyaUL;U{<M9PC_M_*n@~+n@2&1^(+_e?Sp-E;HMD5pMRF
zNl=4>^<O%B!Zz+}b1LxVnt(blxc`Z$jwbA%ee%XFILAk2<3TuWW_M2*tiEc0S_{^>
zF&mQ%3%s}II1I<<*N>*cQ;AWRbYZnN5shs4{?x4wQeQUxFX<k<zEC7!2rExJEET{n
zg0lmU!5=9P=@!FJMw;K7!k5cgw>*bmwr2lF>UHuLPS?TBXBvN;f}8FX|CxgYoLX-j
zg>$HK^%vl)@4mh@fVafs&z13Ge_*?JtPV^!Xl=6*wtW#jX#~Ic^Q?{@_H8mgavWZh
zd%?m4E7m)vo599%+#cIu;|;>AC*ZcT!ml`BKV4-bE4W(ymLM;j@M@vN0>12+c#R*H
zJF{uiS(vZiNJ$2s;=kBH>bHDwjFf||R(&}f;QI5grj_AEHPNf2KJff{!a?}yyoSIP
z_(6m1{82d1W;(zfj(8rZr323%SQ@+rOU;kx8NxkdDT-b&^RU8kQ&=RoU@R2o_?%vH
z8a{DF>u?Ah)hAwf7QU`;p_K`b1*g%uz(*u!@85xWBIwF5!7S0s#zk;HjW3HAygfPe
zQ9iszzglx0j<CCJT?5k{zr+~?H^i|$e+pX}Jh>PGzgb~reF6WAWRAK6mr13HRl)hD
zwj&wv-MYj;lAqkEnN<YqW(TQ0gWvnk=oP>%Dz_)fU=y__x@uVA_J!<Xxa7TaWhK13
z{EBWaELh*gUI$M*jy%YLXEb-alKO2dzgOa5E<K+&FW}ijR%S79s#x2e=dkrd*L*)X
z!k8zh5!Nvp*yIb>M!A0=@3-nXdCCP2?XTPa3jULFywVAN%;_{v>MswN+1SDYu8%a^
z;dYza=cIqR-kzFmfoFHTvM1wLp4!570`4eN86ww%xJGTm6x{GYQq}~%>$LCYGTbWF
z^Mj24%+Q>-E3k}hgT_fX%VSuMau3GmX8LSW|NGYQFlv}Je0A9prZSA0q=OAz51E?7
z#pYB87+^*<i6T3=g+l!f8!T^qaf=Pyx#8Kb?J%dmxveA2d*L#J1ndw(?M?Dgxj%MN
z@X(v@oh1J-pXYys)VsJ%klZL(@vRoT?Y)UAIUhHYF3BB-n|^tv*~6B*Xu^!(u43~!
zSJ;JKZSoZCKyl50oX@h*0ToNwkI_8$GMr_~a_0=Zo_?8%jBkCLl%Fo}fX6qhc$l{3
zqyA<1(fZ#S(tr6zx3WE9-=TNgQecIYc8VLY)V;Bb|G`zawI7DTBbRsa)x)pK7qkOl
ze>S$J23Sycmlnwd=aO4Kz<dR@lQ-e*d@(Mc;Ov>1@laT?h1qQhz7P^}i{##+w5%&I
z)kxs`aQMxX#YIjxJdc`NR*HjX`)%5H!2gcdM<u|~?6Um4uqto9ehxhTRPrOKzh>>7
zeIJgHU6<VhTXO%TD1vJz7h_1hy>WwS32a!_I3WTj2NbZ?!q3NYvq=4)C+F%K;72D^
z4CG;I#*e#O;f3b{g)(r;o_ddVSkvn#r7~<}v9GrmmgnlV-UrWgj|zT-DYCy;pMn|Y
zZC<^F=MCwsEaB#0KF-gujQ8#;U)Xg%rsf@7{zlc(AKp0XTKx&$N*`{M0#Anan3J4y
z_94|BI9#QkdI+A0lX_GLyHIf5?}KAzkC~Lfc~mSb{cyAEwt`C7vBxR36JC*#I93h+
zShSw$hPUjUyVn4Rbv}wF$JcC3r_}_TvgeJG<9piJnehg0Uj7}_1XGxdAL@d4zxyOX
z>aRszoEe7C4Dxr9^QD&@6!#ULzQnPI)PJ(op85_iT|d?M9G2>~i1-OtD;(pfhqG9D
zzb?YTdSO*hVb3Y4kUwyMurEUm+?KmIMB$F{sZ~~72J?QQ@~4J#kEfZD`pf0f;%snl
zbjxxntm%~2wH<bU_FSLTAN8{p;(>K&CVmvaaVh6p`C!44&LmQ=y?g1ZEF8XlR`DUc
zwQOyt0{kLjEP~X(<ZW_Og&Q_fir<4*Ia^r|!Q8nEH*?{1>R4xOxSE%qFB8^08_%Ez
zD}G(~%z`_c&Ci*@c8=S&r^1uB&1p}<UzL~ZGvL~XQ%@XVmtjiVBv@l=!t6YJes1AO
z3LJN@q{JQeyt{gWjQ^Y31x8oku)ZJpWc=6M@ObD8vqk*WiG-QMT=e{5<&n>s(eQzN
z@;RZfTFwVGa=k6)i5|HPyK%NBkn4-7d;U&5{B5j3E)W*WomBe|E)l%<=@u++=<_2N
zKE@P(!ykTh_d?7=cz7VNmt61Ze2No~;IXy~9zL+=JHhaB*s{oA7pWJMt5$4+UFxKt
zd%-qm9=v}Ahy7!7@P)^Hl|u*M|0I5GB=;M4Az{%EuxU$w={2}*y?Wp~e2nAaaSynH
zKiB6cT+S4?auuGc+9$FOhxl2hUV??p_}VEv@I0&csKymorLf$48!TbFW%L5v-FSzK
z4SvtO9O(|X_Di%1z_PWE#hu}DC$<a1@Ppci0i<3m^V3TySm3fXpFMm!sli?r)@jmj
zKMx<VIKip`JEW{SllyDq8^y{aFzdIu`g5?7B?W^4eB@P{jTO8q`=!(n?pKO?VgtLY
z6l^kwId~LKko&j0cWAyPe5+hE-va)zYD94kew)*(Z32sBh~IO7cbnH`n8Ky0%PSXQ
zE7jSLN8ye?_YPixr$k3&bYSaXw<KS<kLOB{I;^68c)vd^CUs6o6Yf3A6dMY&Nc?U-
z0Dp1%EPET4w;tg<2nS9ThR4IfHgo3EFu#_1S2Fzi^~VxfxX+YXC<_*Cw>A)i&&I!N
z$$|Hp>f9sq-7c;?o<i8hPW>x4{IF!N{Ug|sUt}L2?D=Z-SrsfJmicZcd|`K$^)vW8
zL$KH`Sfez&q7i;CaL$>`x3|6iuC~B8)sEIP!5%4{Mm?~Z0mnK8%-b%P{0{z@xnxY{
z?;Y1S&wPfR^38w$#e5%`T^Tz9hjZ=IT8CrXBPPGW9~9<7e!(TO!{Wc-m!I1{%)w35
z6+z2z;0&M7ci2hXQfL)ksaoy)0ms<L-k`dS`MF2`;yA3jv7cun{Jmm*2dRJF6x6{E
z>;2Gv`W3!1Cg8>at8U__C-vQK|6cLJCPy3#Kf&RPY3KLAE4!BR$KWkWd>0SE6VcK-
zB=6R%XFdq`JSs>h>z&cJ92aci0OtXfVYnvpDdSnVI!<~2Pq<yWY{!4_nmJF}0?AkD
zJ>y|1x}oW<I6u^a-0#O>8`k%?Y2a>&&g)a~pDWX!$@!Mg{`+pr6+HiK9=fp!)-ou%
zMh`a`E%}oCs?JtFLAbhah>PUaA<uY4;2qm2xJbT!j6+ZzZfp8by%Bcb+45Qgo+;a0
zO%D&3@V_|?A4(ZCBYDu4-itQyAp5r>T3EL^t=SQlp?;!A`u9_?mXkBAk<*w(MP6US
zT<-yAB!?d){cAg1W9JFG3g&;?fPC)$F{WGa)qRd(e~@3(Sb7`=7xRV7uEEu>!)#LF
zlZFR-7GeD_QdH@%Q-^o=Kk|O~^F0;tQ3-)dB<G@$$$ttzJD15piT9WH-flSpk8tmQ
zO4gGX-q)>-!t~rvwvzFecIe%yjh>i~cdHkW_K6<#|4R!O@fGBg_IFoxY~X{bjm5P|
zo^<SL&K{V*?&@#SeiPOWhVpO<-CQhb|1SQ#--@tKpQ_6L+n*<yr3JUEJbF*s7cTYo
zur7R?_nQRikE{@(oM2dF>ybBPyu1JI(hMc_M|SdUMxNr)bN3-Uf5ow$oZrEq>xT<r
z^N;<kJn+7(tpz)-;`+`l_7sBaeN1TCVTJ<Hc18GTla|AAc=I5egc_`49^9x8C-mA&
zlKWRr@}s^-a7NOpH^y)iRlwD9c+%3k!xnZ}_VpWw1vYSfz5{PDuy*W*&xhRzBlD%2
zUmbG`ERuI-j6wjvZ|>p|x(5rL%8Xt|ekm@xD-GU}<YlLgeAg-0OE=*#4)dqFa7F!m
za~OQ%+{i~;_}v=KN0J*q?T|eSe+Uni4Tq`q^iN$QHo2l5083xgD7g+FpqbAk`6137
z%t7$Mp6I`~;8I0ahY)yk&sO6Y`1ygFy@_zQq~g}w@E_GW|0LMm>5*ML{5?5tBm<UP
zQL7{MZt-dRvf%xJPuWsn4d!iDm2gmxj%X~rYe=BH3a;|2yGio8OQ)6J!8AWJe@DTV
zOE+Q%;hKkxI!W-PvfvPnAl4uJ&X-C1m`_;9(84SYy{*x3)lRc20a##hyGk%@Ka<KR
z3`^(u#6`mA_i67s1JfSYx$Fi1p`B^Afy0l_?79TUNrma(fMc%)M4f{L>1T5MVF{kW
z(F^bq>v)<_I5X|{L1$P%e$65rJ`t~#<N;qhoAW#t?$WaQP2R6SmW4F|z8n2W+Z&cS
zSal^0=J#v3?+I7ZO0=iLo7q_Z-hk;kyrT=@!AjwBQZL}MI93eP-@3Ym^w+IVY7d{o
zZU=lCuEWZg8rSRK@0zc6kmHSTqkGu_k1|$w`N8idk~q5I6hkVZP+0YakLm=RmDsi4
zA3nK>C2<OVy22Jq@|@jei@#v0w7=8j{dQX!=>LX~7#uuI`orGnSMds5Bf^(S`oF2~
zm?NtYKA+6>8&AOB8zVQ;!}yxg@)Z2+!Jjf_*g?zt-U_@_CS|k*em$6_^$(6+$yjHA
z3kEnA=)JJt#?z6$2@W4Sn8E~0wyNrGg>7=4YVyK%boNu!aFyt%DSr4q8(SI^+;WmS
zMIW}BZLAlB-OqUyYQpEP#cUUW>xGIbkHJd+DI8FP|J46uI|8@OY)v=>Yv)S3klbAN
zVbw`kpv~Nm<gQo3nap9w-q5!s|FzZ8-4+&iQj*q#KS&*GIRmTKpSxuO3*8qJb%xuc
znZFvsGY#7VF2E1vRg}!(4XjIFFT+c!UlUHk+^sLwZon+Afj_+9A611}!LZ~-K5b8U
zDE(e;1blHWMmHLM@b>2UG`QaSIb}GU#uoM>9lqE5$t(_bn>rI*2){C3VT^>IF?b9W
z!xkGj>=R+_yK<CGu$4)U7s*xsJ9g?79LZnXLGoikJiGeg7RS=y7&ygR{qg{uaOw4j
zWcbh&^S%lA{_BTv@$i?2%F$EshRt=8Y4E$l{IkE{7<Lhj6qxdLK;{ChoMQ0nA^cp#
zmEs?Ky0uI<4=%8HafMG9`{jIog<{_5UyVE#PT0a&%uo^z8$RB^4Ifxn`KJauf0eM=
z0do{iW~q~WD6n!TtSULXqyzsQwLHNBPajIXqYvMscvQ#+&#C3ioq%%~gLN2Sm#5lE
zW^k9mKo%2xOxpN|4Se!Up4w*kKgOllGw@@jV?XKPUW+ZNmth45wup@|T}9!DCrq{T
z(i9^+VBNJp8NQQRuDczcDHQoH5k4t!d4(KL+ar1PTzK`uGfRG$lP@ei2M&<uD;I$6
z1tNbJz!~Pw?BejQ&JV{P!mqjdFG#{acs|{G1fST=)1?4YQ44P<f%krh7E*!@?+Ke$
z!u(b5!w$l&^%owM!}l&3d{KvEN?bNQhiOF94(q@UG(~pRu);^yG(GsCdj8V}c-h1D
zpE3NQdyJ(X{=_qEVhYEe{^Il+UXK^AJPmUR?r3U)GnF4P*ua__wsCgA?6=o1Il!Wn
z8lG*in|SDJC%A5}N_#Kdeq~Rj7u@|TE`ZcuS}PyD21gl&4)nuXOO!_g;3~Ev**@5u
zUTQG}&KrpTJPQAPbJHveepmN+{|Ia`p2?O4FZYUl+j9-;`}vJt4`5w0HBCOasAkiF
z2Ds|2@}e(XGZ>NC0@s$Q8v4N1KVQ>-fu&?<3p?N!X@UiVFuxp=VK*FQ9B4O2oPB0(
z1(rAMTK@<aow<<n51vj-Dj9*7v;_?qe9+#?A-xZ9&n=00CV0!)+`pgUhvE~Nys$*_
z*OURccjAY}9#|~(_3V3C*0D8J4DRgN5ZwzahIXh)!s*MS<8R?dfdz?*@N@YcK^<_^
z=A!-kVN<`=4_&a3e|U^K{Jmbpn;hSubC|p)tS7OxyA6&z?QmNkHo7eD+6Z%$oRK;X
zd(v!gZieSL)kDnS2?OObb+B%)vZw{zM$J|80@kS6dGidMWvpyg4Lc1m3);g`tp7HV
zdK0RyZcn(&hxL9XTydw#(;GIaRA%jjpZ&1wZil%-4_)mi_OKIcg<Bfrgvj|i%eZae
zJv?Ng8cxpVlS(?-0eI=}fss*|CFD!!FnriuOLH2QbLjv25oUR2yzmRAqPY?M6V?}U
ztyzb6TbOB1!P}o*XQ33q`kz%KZ5Ezs3iI3y-^^rOB=z@A(>v(k@Z3+jOK|zN%7mS;
z`Hc*UIrz-&o@p+4{n`1GD{#z#&jx#7qs<zRNxj_T^*lkC@jnLI4cBo#57N^~z<W5q
z+WkY$@<`^46#Q?Y;3*CAXIJz^)ZpLv1}LdF>$rCF5Ny;--$)BrQiqOe!EzjLcW;D^
zPgSev!r9&_ml@zP=hvA=@WEw^PC9s*OX>JY_+!=ZH7-)Wq*G=Er<<q0<$yPugwff;
zuWC+<^1(@^h20ln%G#D;Qg6O6C*ltOXL?IP0KRpVI?@|ve5w#j>MfrdjQPOX8FS-%
z;X~Q}3~{ia#l#}X_f+=VC%_l%GWA4ZzW?Y=tKfjLIOg4O$k>B_6~w!SYuI4_<(#lS
zI8lF1fVAK5fxL7NJnU)EMF~rVv6xT7@pl_Olk?pdoIx=T-*jgWC;hRX*>>+=crD*K
z<r|!9KGyvQjuU7&JOUTJJAZonUVL8bI92oxRtp%TW`kX6%TIQ~(r;=VxL}Gd=Er0_
zS~48P-`d3e)30LFTlg2X-QyhCowm{XK1?ymLzfE&1(-Z3f-m~0%RYnieuupzd4%-V
zh+4QRlAWU%=63Zkd;>p<5_t0fuA<Y-?}WpxOZXnaAFeNNeFsM#EWJ+ZFS2)@8-yvW
z_w`i38FqoMhv7yqIk9qBX4#7OE8H?#ee)UY$jut`4c1V6{Gke7Eu9~lhClpLkZyow
z%ktIcVaDqsx9i}ydipv4V42_2U&!^7JiT=zjVPW+xN|9gg10KaZD4}UCgaC9;r!2?
z$r9KB=WAR!NXF~6z$__l_+aALLDHYDR+r-i;ZuL>QaRymJn2i4@Kw2tUn+26vbVV+
zY#Dt?XFvQ{^5ZRIn7{3%ZU*d7@NthGJRi6=dl$B*;Y+lHS?89Iet;#`=wwd7SJD)J
zeuSUDxKQi@bJ8BykoLv;V(l*TWmwy5V}=C$B_>cL0KVCIGQ$Smq|qD^1}9QeFQ0}V
z)H$!Ez>bRv`pNLOzIxj%m~l`(FA<)9m&%$8?;D#k%!NOf{k~cR&rb#w<iN}|_T440
z&(EO^g>boBy<8>ive(1>Asll1@k9-5A;(Qq4Y$!U>Ar-GV@s?mVKX(RwO8czYo?oD
z!wP|Jww<u&^)Gf!aAv<BYaiUE7ewC=vwj)9`T=hEPV3MMdmB=S4#WGn^O#3rf4=ik
z6Y%cO0?uFHdM5F-pK#boI_DMmaKfFn1(=^VuyF~lv>kl30^j_~ev$SDes5Kv$3`iJ
z=i_feU(>+;J7!&}VV~lzT@3K91Lu0^;LY6!uF}D!eAU5B@V%H8UM{$uUS?`L$@`>y
zIN(*L#5-JY{9>iRUO1+KX~Q14$(+Ma2=@MZvrHHk8%`712M1eFY?p%foLdTzhmWNC
zx5~i|`d7q{z>Nb`5-Kp~@79pR@J;#HF9%_9RSjtq*m?gBO)WT?Iw9N;KKP_;Sr2x6
zOe=2($N8&Tn!v#+Mp4%AF^z2%rtqDa@UIT=7JN;~3a()2QaJ~oEb#QOfjb{<jJp7P
zh*G_CfIrh7{eB)c`8F(d9{#iJbI=3s)NoC3gDFBQQ!c?;6ox-N;O$M{etN+i3ZD&q
zVD<=JEl*hDS95_c%+GF|egigIKfxGGa<<?_ADFgM-RTz0F<q`31gm-3Nc{&(JfvGA
z^^qJW!js|VC;N<V!HI2Oe`LbnJWdyq`iS!%k7mQ?--J>`!rhB51rOnCFCUnP!yfU@
zG==b(Q%^}8Tz)LPy&9Hbqp>6Pi+wSI&tZ;P(aJ=ag}3NO8~i0--zf%Oh^aZ+0Uvti
zR+|iWTzJdy5e^IrxD*c`fA!t*GpyT|)076k?7AJl06SA>bdkJmz3|5pEaX%pa0lM_
z{(1REaXi2Ok^SyJIDc-OVKdBk>$zAaEOUC{?RGefBjHmD>|re^wG*D6ERfBH1<YlZ
zgyHTmw=wd5R7ac*Md2$^A^Y#cCs}99Wnj-*yLeK+_D_OQ9v))!oXm%Z>Ypj;!kO~3
zb0lB%qe;+*EADO3Du9JQg)W)E3SZmqK7bk0`VCLQ|1t&_N?`%|)7LM+iobX_JcO@h
zKIy**r?-fncm!)lD(t@s|HnRFR1CZAN=WdAb5wp(R>Hxli58)7N#coeQh$tf^+`C~
z`OAEBH5``X!x0C6{=3PJ)QfSBdnCYV_vk9?V9p?icWLmA$uh?0@SQ*X(i!mJ(37)G
z@IIAOiTB|cvs2F-NM7=0CJ**cIkl|~{?c~bxCExvUq1gDPOaCZEr$=Z&$AA~TG{Q+
zHSl6)<b{5C!qUX20p5Sh-(?1VIrHUH3mkA}Thlb$Oy^WK1Pjczxk&n9{`^L_eH4CR
zZP+9RGn)p+&chdZrnfu5%Zd9IR^jM<_Lt7W`TP?GYw(NxCQU9d>w)w#8VQWA@RnWY
zVS9&-PFvvF+gY!!!SUO?q&VR0>g!%tVD2>e+ng|8_PIB{@chA_Kl$L7$?XC@aQCZH
zZ2`Ebz3f^b%w`%spbkH?6&&({-)ET1YQk?)X{B$%tsV6%#_)XX!!P9ZRTL>FOyTtP
zP=z44VM@2^H0<-fCyLb5bBeIqz*iGWzlOnQhK8;>z>~QP%D3PxTkCq9V5Oq&m}odR
z*F(V#R$pSCihxV|%ws*^G41ICiEyMA)50~_uTAK`IC%B)Ujtv*`TU0OsW5xP<FX()
znP2g6GHkau$teupX*D|i01i|!d=mrHD6(nh!hFI9KPABw3bBXlVD9f5)HC6B_L{V3
zaNMkOR|Om%)%BgxANP}iqjI${W7qe?^l(hY;A#t;aNzxS1=vWi!MYosF`Ygv2gkj4
zXnzlL2~Z}TfYl~WNsYiP5?g1CV85sHho<1-4@N(nVL{Iy_kY2>(<d~Y;Q4qV*S|2U
z1LKc4IOe@r50xa^Yp_`}23}35sNDrmoBWyl4ljtrnzO^dF4M*Sgh!X!pD4k)8@+Bh
z-$eU!ybWbw@lXFry28)Q?CX??D|G{+;e7{bEacz-Rp-5N@U%STHuCyp*~Z>%I8{2O
zNE%k$KjL#Ao=8hRs{psm>=&qjD+`1+NW#TePQG~x2gc@EkouxED!v!+lPu{a5xDOA
zuGW|E_2N<^F?jk{>+W`#p-%qi9#~X!q`3p`m@Cs3f&-hQIp4umRB~h7@b{bdUJk-8
zR*w$y!R~%WJ4WEt3-_<Gz^N=AjuY?@C3i0yeEvS)^BK7G<>mY9IG;sa%1@Ty4S5qA
zD3QN2|FL;P0FHN_xA!}8|1T31w6LgPl*CVXL;D?5CYUQQ#WN8OYC9?~1s`-g&KVDf
z)CUg>!OK1Fp;zF}_!K`G*h;zd>s7dS&AM+tY<J!Hi7h-}d%H~?UX;#eIty>{HsR5Q
zzjZJiJpo_7QgQJ(e6aRV_DS-3o|}zkuo0E}f#a}ok+_Qm%+7Hy*$Dp9w_JY)*0buA
z)rFN_XFJ-%S5r4c>%;5LuFqZJj?aR7kHBKhZ0FoyOZAh%S}^bUmnv_#?UonMA(%Ta
z#P&M;jOl^TVOa05aYYb($h47N1>WhraQYS;N%PxH6}}eO@HiUg(cMC?2(xXoGmnFt
zdG<Lf!Ns|fC8_WkdmSnnc-x(J({$L{?y8j>JY1Msa35aJ3;H7l({GkHegNyVmYPVy
zZ214pO5yK}RWm~Hrc?NZFC1Vts<Rh9YIpu#4a}7>F-Gohe{Qeq*1~IBw;dw)H&5oy
zyUlQf5!28vcp}SIs|9{Mp`^$IXXHqycf(TRvOPQC_S6>|eei#i7UJao`C><0$`HIR
ze*85Hoaf1X=reqm(TkrQ{&4A6;spHD#G#e}_LBEG@C|OUjN)L1#|!l0=HP`auky{X
z^1D8z1$bju2IE$EswFq-AH0<<D4!bsX(6VtArSMQ(?gm~@Q2p5a9UWTIPC5^nIB%>
zl%azYg^O1ykk=KP++u;%FNFQKf_yi_TM2gf&Wj#BQm=E!XFw3%%#k~>1nY6H_=&*3
z=UUZCy`ICHK53XE>YUeiSX-@uUlHDx71H|y4&zMnQiGdE^<BqdUp9Ikb+~_*Ys)0O
z!FA-a4s6VGB(n%Uyp_Gw8g@K>K%)TOJ+EkS68`Rd&-)HM_x$5SOV}?gXLl-m<o#b0
z6S!@{w2I8{dv<C6HHGtOEUaSSsbKrOWANiEZW7mEt54GDB-e2D?<MPr7iV;}NFMbe
z#DlC~#yhUcTESP0?K{Z&rEB19s68BQo=2qy*W4}YcZNT03A8#yUaxvb^fH_pwCj%&
zd{*jNk0<<}`LeMJT%uDT<OiSI&l@HVt7wm034%+smcL5E_m+BEBj9JnAvehSE0X$~
zTQr<EVmY`MJ|Ov_ISDq_8u#FbeY0mSq{3$z;zdY(he^-&0{Bn}Ya<VQ^vGCk5y^La
z-%aYL-t@Cnz&+6pRh)3Sz(n;^IPB;F*4=Q9$ROhjIIy<7m>q7M7_WE<?~JfHOX^ef
z+HCq@Ube0^7I-}L-KKZ&+TPq#q`rHq#qu-kU&b`g0AGyg#aFNJ`|_V-$C%;!PR(ZD
z;Lo1AQ)E3F=Kf}V8g75bt+5qmXs<U}faR_IKT*Rf%1x_FaL$;q(k7URx$5|aApCxO
znAUX}>s^~IRT(sJR>r{V75Mb!;@|XeFSGcW->~P}!&D|XcVYE8SuejB&79c*zj&2A
zHxBo)L><@-JAFN)KLzVW1;+`($J7fazQ8K7UP>acRiLN(D7<O!r6_6mzb{ooL$J8K
zjl3L8uNA0B*5^kbn1!p5{QisXcko?~BhqT{1?h0H_b|g|wUDFmp{SS5J#g}{h`0`X
zS?xCOTi9HWKfnl%N~^1R1G9wFiJX9Ux`(iL!Gi8IH%`MIZ=RIChBvc+-(v$CxA@SJ
z&l8^4#=ITj3I5#sFX4co*F4VfDQ_7IQXiQAywwM`8#7s`hofXN-EP3YR5_26dZGE0
z<`9@af8Vzn*l5J-LKytnI(nr6&TDaW$%Zq3W+jlkME@wueYmsr%99qDT5}ikJJ_l0
zvH__N%w4M-gvH;_T9Z7jVzgooUKtzv^8)@;)O30Q_LGP&X@(z%m2KJ>jQK~`PrDAL
zTaPQIg&$H&u9Nm9-|;u&fbC^iQl7z+(N^o6@LkKMW90peW^^Bl!OCe_lU48?8{y-U
zaKT;KKje6gMCc5(;BAyN@g(<=npn_*yUPOCNPC$$pJ}_m1KLNE$?;KlCI51Th1RbM
z^uie-^y&@pS2?aaa=z)kXD1tB&*9nOLAb}@*7zd)`a-}p(!bn1u91IWu9E&U)9`%l
z4cQYR_`QskeJdHC_s4HX7{M}DKV#S7w<Z+w*WrMy@MZG(&A^Bz${TjQ@V1x^cDnpZ
zF&w_8FRMkak1cskpCVxAqxq*uemue9<9)b8>)#v|%zXM>&;$4ex8XxtxVl|Hq6+qt
zx}#13hq3Uzt$`<Wn$t=Bfoqg|8{v<qwkrNbd$tJu?P`VtQsm>-VACxh1v+7eTu)K*
zd6REfUwb#)S+Xa2176R*e1hjUd}!vR^dIEgs`Oti!2aG7>Lk~qnQmgZh4u|H4w38E
z&ho1ZGyGBe;SX~BgWi75d*QFG%^@Ubbnx6J4(}0J{X(wqhQB5b^6*3+iw`+}-wm`G
z_Q8G)*QH6l<lx4qTCm;m$kt!5MgAWvUHHk?1_4t4Gku`U7-naBcamJsW2c@_oPuX5
zY0Jp{Ky@V1)E2h)+NwvcXR0@T|IWbHF)DfFen8V>W8?zAu~Ql({mb=2^sXDM_~@J*
zxqipY85X=@5eBO_<ocDco=Lk7XWa}FCf9HFm7ZTg@I0TZIT^3_lWwbq!;S5UPssQl
zR=*S<2k&MMI7Y^Il8x5>M0ob|gNL=Sf2eqLI{eSz%7+qI`(xiwHcWpaS>Z9fm{KEM
z09W~Yb>_p=-Qfd8aD9I2-Xi$S7I*Oq_*?Ilm-k_%Jk`FZ@K?U1-49@$(}E%|;1KN#
zm3QG$>tCHOVb|x8+j8LixPd+GaNrlKf;4#3YGzvpyno{5vuyZ;qFL(%OfMRKg5-DQ
zx!u0OTiE~Dll<-Bw->2G@x02rd_5JW8%Sf{2&ep_tjL6KmpRq5!>)D}$CBaLCJ6@)
z_?ylqnsm7P%wMLxFk9Q>^h7xScU`3z{A15X6Y_q=CXu!WVC%An({b=gI|JH-Fhg|j
zQBps7Na3^={A8#5a3rkpWPwT-R_07oj)7B{KbjfCj2!JQH(_;V<6JZNjKS=yK-is9
zWz_~A;b#4F8IE_nuVoL<-<CJI3g7)1o$d;=N$LbU!U8qZ-#p;{E{9?Ae2cDsK<zs0
zx9vThBAnJI)e!|puXL4?=W~k82fRbz>>9aiyJ79IPc9_?5v0J)1z%R3*iLd<G4A8^
zuq^k~+1s#X(DnjGc*o*MRXi-z7JQf%u5`Dy`48S?7c)r%w+5c2Bky-2Xx)De&nw@{
z4?T*3)z)S|Y(U<oGO#fPz8G)d`v2#p#@0U`zyZNBE&ZquHLz8G1aBH2`$L|$o=V>p
zT>%TyH<`4;Z^d~>Yhky8=Yz@f+QVPEq#EIfJDS7KVgHT&!R@fENSs#%tm7gg)(JN~
zbm@Hx>oG{)d<Un<mODR!y$1b+-ou&$k<DfBf#u-qBk&#H+d}`rLE#VBe!x0j76Hld
z`h~~m7hvi4j|<Miwu-`wo5HXjx4g8`fmldMmkDm4tWq$8zrPPkVuKAcJz~w_d)7(Q
zyWr5Z;upHGyjTA|emHpQEY~qOH}+ekDE#Ta`=jLfd(R6ge_1%U*+gwWJa+5oTV;4C
z=i)_CxRu(T_Yl0aiL+H4PO!e=sST$%@!65*`|ToOTzc@G+4g6`ur)=tn+ZIT+BwYu
zA1^9?ehTJ0>3Nh3PUC3VW(PNCxP4}Y4Od&Ao`pZ&*uH-|Y&$wee*xY$PjQ|Wma7{+
z<qqr6-fP?fV|%~&8r&}*Z%GC3R9H0eg@-Q4Rg(RRVkwsVV7R+@<HRENGZgm!T?mIi
z?YwvB4;<36Q#T$yBynqS7XC4~Wi}CJtmT&@`yrdgMUG^^J3A=a$$p8i#rEmD@PnJ_
zf-|t=sKTL#@QEnT+6j2FmUp56PCv)YLH1kjH6BtahbLXfN=IN(>b)Zs@RXAu-56XQ
zqN7*`w_iM#^AXk*mHPMs_K%wQ_ZiOJYbetSFUCAd9DwEI<ObT|lfBx%-op;1C&b^v
zmOTuiz3}{Qh2D3t)4tr1w=l&HGvQ%)Ue^9v2ORQUzGDP_@ceII7kRy{8UJ^<@=2vj
z3p|w~+wucuIHUin4bF@(-Mt8>ousmEggN#~HZH@l!pT+5@Pia14vKKB4>`0A>tMD!
z!gW-z0K><E7qCyL9_v;(_^r%`$FSzT8Ea;^=wE~U6WCFJ?Fk3m@ZXkmWWS8#e!&KA
z*lq5=x(D!Db<YVQSpIa^&lET?!!k<@HlH@rz60}X2QSLOFNK4=B4OtkO7;D)!FSr;
zXt=#oEJ+<U`6EDi6K=egK5`URn8~#agg+i@Q9KU6>3DMcGVF0$Jn#g(v?Md`3F|hS
z51fYe&C7i+!eeH%H*Da+T&V#!I7L;V*Ab39F0|<kY;rAhw=1mGm1%npZk@06@PxCr
zv;8>@Po`UPc*CXD5ym#Ka$<z*P57jQbATcI>tB0S2<%J!dB_;13}0i2h8v}{F6+Sw
z+NtHSu*}|?j$?4JQTygpxX6gx{wUn-d9LIRY<n@bUK@V+H;MW_EOK9eW<Q*6@xmY<
z?wPOAJ^;&mF5G(zb5OE=k%!-w2J1Y5&#eARB=y}IKj)iZFV;iivM|Np>#48d9knI5
zNWJrwM>AdUk=~Wv67aFu1Btz)-hZH123{M<RU3s*W^p=;!smUY$Hw7}&sMpm;LWkA
z(Mxd1q(Y@IyndfwegzioiENgHe^AxSvE0VzUyj<-B-bv|dd~(2jO@NZa=YP?K?#^g
zQ-hl1yt|$Kq~W<mQCDf0CPS{z2>u>;m}W1`6#Crz1T0y6@FF>$J5O(Rc*3W@$_<d?
zU2&Zkz6|R(|GaYq7X7ckCmlZY>AS2NeD<W1*Ik(AZ|kxS{Il;6Un|U|Um1NE4mR(9
z)eZ+;^UowXpN7e+F}P>UR)OS-R+BE1uwQH6UDBVbLJ==EN8s~>^#essxZ?+p!&X?t
zVRD-EUyY3$^Da1OV|k!D+?PXL$qgTQn;K8@gACUz_Q9S}7JEtlWsJd684g%jNYI62
zX!1)f;goj|L^a^@umh&nFc<%GT_gBg*3J{Lu%Mph2x)H;<)f8&*j`6Q-vp*CRxx-2
z52n5RO4@t4rgy#)7L}GyA>%cTdq?JL_<2OFBze94!y=6~_+X687#W}PJ+nVQz{3k=
zK4g4G3<M{9f>Ry#N|W~+XlhZNffe56ydv$Z)Uq6%g?TEue97?ztz<?~M&fygR1^z2
zzHfh|<Y?fMH#)AQK7`UZj2`AuucRj9*}?vc1QRSq>0wR!OLUqlXb0@;_I^PT4lR!s
z;e>CSBpxUI?NRyo20vU?yEIP5>)}!5J%Vsk<D)}le4jjP?JWVfiZBj{!*>_Pc1y!u
zMz3Ya_#K+td|3&8@R+BCjK74*NDdYFu~qyHQh!^$|D_%*^ZF~RAY55)=41c|MY0Q!
z+<4`sqa*CbXjvlwQ&1dXaE4VXlH0`Kjk`+dgWxO2du>TB|5U0h1nwQ+a3}fG{G`X3
zu<~tfT9P}x-(i*wyE^tf7lHrWx1=nCh4-u&^T9ifhVq`k?y|?ul3c&xU|t8zyUBTl
z7oMZ6*XxGWmtSuodAl~B-Z!}E>-)R^&v$3dPQwEg>W|3r2B}cY(nMjtsMbD8a_L;Z
z|7c<Hi!~=n9-8_wkr!SGtNg(OKTWn!-UE+Fp3Wid%{!MeCI=@N8!D0SQydv)yR8VT
z#&l_u{Ed-Y_;FaTt?KhG__ys3Nn=>Y(=m}84@;oP`!g_mwYDfHoW*d@&mQ)^(XUMM
zu=T$;{NVG0h21;hOzx|D0^rQBv$wcm#>7V*aqylWGP`!b;nI6AC&HJM-iVW&BFo>S
z82(xo^OAf&graA8$0N9TM6Qpt_x=w39j!3!<sVKY7x~oqydBOAPP;~Oiofj7$KWV&
zZ6=a4n?~79!VA0<yd)Rb{bWlKjprZ3ITh@1qtb~@)NoVfxmV<Pl{V&V+y$3L{Ievv
zMHojRH++Ta*=y21WeML6hv4bInpUL!tXA{)55xJ+O#WoN{ZPMg?+V<1KZK3cj~Fa#
zd%?;2;fiGZwNZFz<-@G6r`yT-Ui?1uqY%E9FET^!j|$Ef)1TnsvtB`DycNoPi2VYG
z1pdq=*H3_-Vhl?R&X=!<3aLM}r&^vJUUROXQiCNXS3jx2Oi9DZ<oc60@()sn`Ls3j
zRbkW4oInfsVAxqTk~4M)iCDpcJiW(BF2S!Yd=-|sGBKtA|5wre#v7)dwf-MR_Z^Sr
z*T(@IC8MDv%8F#AL1w6|kgV{tv&!DGDovH_LPSOqWy^@nRI+CwBb4lwk<rleInST(
z*XMiRuXDN1waz*BWrZB?mBUj_5pb8WeF({WH@kW~giFe%5=hRzBg8!i7L%SlO7fZJ
zZ7eTgDyQ@$(mp*05yuX=ZA+Y(6wLRjaC;}*;w_;}^2pbX472cGA@)AfK8_O2q93rs
zmABKReV@F}7t%eze4tXoO_DRyjT&u%J1=QOlAJGT)sPpqHsBB-`Tp9=>-;c{NB1$3
zCyEFEm4jo>$G4F7=`U<aQH1}Uw-_SrS3kz~)D(8LXZ0d^Wl+3|Is8g%{4U95GF~YA
z!ee$ZY$SKQFF1V}HWlIRAp7S|n{ae6{7k#ahU}l6qIoi5@L8sxA7x>_Pi5h`aEe}-
z9Xa299F`H!hv{s&MdV>BO@)Cz_<3h~%`sSv=e_>`{ETk=H#xs=@-4U_7=iP}zRR}y
zFi$OiA0O;lG5ppL-rUM9d<6C>@IFlLca+XP2s#Mg(jN)5f~nI22gTqG<Mfv9@NrX<
zC{lm-&du_Ru-S<Age1)W{8{8Jc<RxP#G~-OlRR^`;S2g37p39HPYaDhU^+T84Jp`H
zLF!c)ti4m~sT`b~V;q_Qn;iJ5F9WZtj*ch6({{s|itv=urZ+jT@>O4p6Y!${5uXB>
zuTGO*3#L$c`>hntjd*ZD9p+mzJy8K)DZcz#54MQ?k^UZLEGpTl1FH%2d?V|#PR!LX
zB*50vcQn7k{wB-zaqz~AwiT1Gl8JXk8O$xsA-Dk7<R!AahAAta3@yW71`Mm~;T~OM
z^>z4_<`uSDSVLgn3kp2nP+9A{wZg*j{X5C?Q7w&ULlZpWo9;@Uk8&L}_IAP@^%wef
zz!q{gmpb7390^JCy!CbNcuOx_*1zzS4ZgB^R^T)ItG<4n1CCkZzd8hqG{|=ygxQM~
zMEYQ}e6FKp{g%MkuDio9uY5G!2{<Tiuk-*cxBsfO9DIfTN7yL*szS0|1@2Io9Vhjw
z89M^WdagCv;D{wyerMYfS??8S;y*nPSF^v<)`v?fwB&!mu~xUr&%wNkijP;|z44x&
zR&X)(XC>N5T<=~=4%x#RsWpkz@Sj^UOK$MYPxb^(*wUEV!WW*4-mt<3U#r|&ei`Q6
zR)1zcoagbGpR5O4_?nT*4XX@}_}_-3Q(b-u!g6je=YnDJtTTH2u&UeV=l9`Yk=DPG
za9Z2*o#c64S|`mw9KN~rOJh9zTAG(q89s45Px2Y;?zL>J2yZK1oO=N?R=aJ~gLz*y
znB>8YyJXGI!cAAan_k0RG`uf8;NT+$Qq}N^(m1^vT;g_sm5gUB8Aavg!)qyAcggxM
zR`xUWdGO45dBh($qoOf$e-!Q)ToU-m`Ys=X{W|<G<?lm}$aqQP-}+~&utE~W!4)_}
zndi(IIBbu!Jjv-i*-u}9`&uYFm*F8DuQ?mILbOPkjITUtV^p{YZ=!MST}AF?<}@Az
zOFnx$_Ycl+HXluamG8OxlRWxCNk|&p`$6R=B|gtTrZHFx2h@$<BkRrBOP}9qfGq;`
z6G^U}8Rb6=-+MeQLUK!{S;0~AdG!k_B%dGn%>NHIb)D;7L(VlI(n9%={9efY2Wj8#
zTdYm2FqP80Kgn%aE_!glv0Z+#B=3nba+82P_bePFx#F9b%*WvF_y7fxpJ0h*(t)$)
z<~vFI>pstv>cQ+=xm2l;M~1m>^@hX!{Q5}y<o?wb_`=tD56+YJ(H~2D`2bFRcJ(&N
zKc8GTh=R3~T9!8;A8YZ+D1wWm8H33F8oJ%4T>{V3^(T@1P4WxPcDSmLNtEQnGZa5R
z!rorvsw9v9-nB3dhaO?>|BZa~!{OLD_(QnPL(=|z3bqOq(KtTTeFez&g(p{xQ^D?8
zMkh!f!v0{C4HoeAY$w~t%QzOo32V%}4*CnnjBrRCfnCd*ILQ7#Yv|E00#BEgiITkB
zK(SX1{vPx01L<EW7BM$8VCH>{H^}z7hBOJ9!P=B~69(+bxVOy$HvDJRMEaW&wcaIn
zxO&Lg{0DrVHg&HjoTQVpn|z<t+n&1Huz*Bj<_zqiAm|zZKQ-0iB%j~c6JGrS{%b7u
zat@B69kR`Yg+f$oNqg(2(yiaa?T_{vlic;?+U8pLbop^NlGC_W(+$Ba-E<pB-qo-@
z?;9N6=5&N?pKwrgCQ}UVKR9{c{{Q%?9Y4zgYeq<QsNwH7-Doea_z3eO_a{&4!237;
z2$O?1eTxvVhBsPw9QB8@?2V(H;5QuVAva(jtt4%-9<a?vR{Q}x_1vM-7fw~p3k!pP
ziA1tpfscFg4M)Q~w&sDiU{CLdvQco(pODep@Zt>JgLv3~o3UO99L()G84E|`hP(`e
z7ru|4cnWV%G~P?r2acasf0P72Rg3T=<I$o<71Ph*ce^Yn$$0gxIS%Di*fXL3*)w?8
z=0CGVu*$JqMzS98!fSoi0@#&l(KQEtQS&ao4DJj0@TCY=Pu;Uz0>@rtkST%f@q*53
z_+j1fiz?V^TUSaYJX<QV=`F06e{%H$>^r^5lgy_jE(M=`4{tuSDTK@~1T0o-eu0&F
zzO9k@M?*217rijO=?Mce|EMMH^yeG=;V@gxSJ*x)>%SpbrFHN+ng8G^@>u@?M|-@P
znSpno%r=;X8;l}fEWnlNE)@UZ^kyGsG9PpAOp4JTxXW<tBAG7|`$w6xF&6h5=}lkB
ze3ER32n`j?P$c||9;T*H*~kX}u4lJngfFzap4$!6-DTxrfkP~LHVMMsj`R=6d~}AI
zvN<38%7s~-2ab~cNh1j-?x!y$^Wk>K87;-&4JV>m$b9<KLfax)SiUXjju@OadVQNT
zoO3i+j?BkDZs#jjgH0bk&yj;qvmM*63Ofv(+@c6mh6i2HhHW{HT~>p;=pI#Q!1f+p
z-RiJt{n!qDI5V{ElpcJ@>xY9boIdN3qECF|M3o6FIO@E^3|2p<u-gdc)7|B20go4i
zIa$KPd^^6_!Ux`l)|kOVNfpu#@VN`0_t?T8wMt*O!*5bLJTAbUpBy)N!XXdXYMtO;
z7WST3;4M@;xE$b33wt}R!mcugo*uBiF{j)enC^>evn%Yr(vuJXuUUq1`@*9#J)6Vf
z9I?xny<o<XSo;U?5$ej8t8hAXT=ygRH*G5a6?n4LT>LS-fp_eRKb%l(k@6HCHLCw~
z177nLq9p4fy{qX21L5kkhg`E@Xa2F9cVX$hf17gPTfMwpVKCFDf6}kuVE6UIA#h&y
zr$;65UN;&4C^+iG=S^?mV^R$L4`BWM`4`CgNR?Y^!f`P3Xo*}qtW@>=E2(E`ic9<m
zAC%#cNPwU0O1k_FPIgTji-8A!-~0R>{*R+y<_Wy5IjC@veEziF4EesW0zbxO_>Dk-
zd<v|%#c!6ZpV_ZIyFk8=V$n;Tte-JH$ElJA+v(VDB<q3ZE6UOz!!F#eR%AVqXY=S^
z^7-~FviH<s>X?p_X!sZ3f1{f4rr?z=NwAF{pRhGN?r@Kpv@efMEzA}!_fB^pdA>8B
zgEzdgn#4xhC$Lqg&KK5{sC0b_7mo-%3xId!rErn<8Qd|a3W7&Ct2|R-?e7u;k6@Ym
zk-TJk*=~EtK8F2-vo5`WXQ<3Fp28tj3>~DNA~%sX6{gJO<I90{>4Lqp;H{2#u4Tdn
z)oq`0;DY41jsp1lN`(Sh&sZF>bl@d?sGK&r1P)`Oz5W_@YhK>=1`d@t*Zm6iNK|%y
z3x{uT6{>=Hg2nsDddHjkRsQ9$uG!a^7PxV0K&TnkV*Nzj1%LZb@OA@yhh6x>XPAdm
z@^c3~TENpW2=l-86K;c(C&t3Q!{3#nJ`cf4+Jk?{`n%uDAB6|tc7GL<S=hbw%k5FP
zx#nd3PuM$Q_m^Q}>TLd1_+KWM$TZB(llG9T@0+XA51fD>xb9w}#QMJQJ?Fm6!-wq{
zt?1zMW?|xUFh_OZo6RuOhRDDbnCju}!({zngKyQ>CD`Q`MJQQ67-aWW{4c4OTec(X
z6N4zWjgtDQ)XTMeumkrtX^J?EN3eK_ABOW34@Hprzk%zK!tldfp;2n&lA9M@Pr}(x
zOruHt+|}DH@^H#=!%14$EcBY}Y1m_ngTf~G*_K_8&%icI=cBj5QY#E}y72ZTx7p3`
zX8%mv|KLA-_6kgJmFn|OQ}~8~d)y9K@T-cLIc(W!JG%#7x~cTk2CkBDRAzx!_$Ddr
z;rsv0<MzVy)WiKgBzG}VV}-3V@5@|<@7SG5+y@6tgrwhujlJcUNqxfOleD*C`Z5tU
z0r-8PtamV+zqaowFMRFd(x*^ZIdI4FAvnc$LE#}>zWP@~2&NXzO^$&@KTal#!n{;D
z3`wxp#f~*$SghC8B^hqP>HHXc`nGHT3;2uulT-;f-R56xHoPy_Lqi3=Hb_NV1TRHv
zr7FRnC)#X^;cu@b*3{wX<DH)>VV~A*XVu`s+gBsr!5wrxtH!Y4^E(ucFwe0}ZA18w
z@b4?1U<wMcCzs%L+O3m)aQBY&6>pgPOz-m{SS7JMDF9AcnA<fDzx{Ay<u=UYTz+&8
zj;Uf^On`;DKR;Q9L%x4hdkl*Ye=z$E^RERgWWwLr#+s;vG5#cWQY{^Bt@%Dd2S;40
zIrSF)_hz%<4*2RzuY@Z2a<rT%2YldAtlR|rSH?4WKg@PW?$Ic$vYcQp2$$dadU6GJ
zaOi9nhFRio#Vo;Y?ps5|;R4;gC#fIf_p*hmzhq(e8>P`y@a1*~qm!^^&)rFS_{(fs
ztup*rf<u88Hrvy}cN%8z9ecPPKEGr0Lv47`_R`E&c=u_^B^`LXzJfe6T*l^QWej^V
zwLaPjXIP|Fo5DgG(bH`3*w&FF7vSBpoJxD($VS~+JNWMN7gK_;x=OUE8(f)nK#?D2
zdh@Z&19lmli9P}wGqW7H3=8dYoIMCT#Ty0s!444z6~y7E-v_OO;pFr^^Q3;l@jy)|
ze9+*tk`&y0&RO&!oFb(fPwK4~$|GXnVqxkZ$KhOe1=lp#HmN(2)Ze6uYk2_|;@^nM
z!TnMFvU%{N-qPt4@FuBa@%eB;ZB~LZT$kiWUkabUL;q6|*3urZFNf0<s#Vot&xn1W
z-@z@ytWQqE=d=SQKfw2-S{Kj4LryKJ%`lGv&lxTFpp-Oq8?2Mwm1qFd9=UO`8@5{I
zUDkssew{zs51)^|mtYMuRAoOIhQoiiFImBFD|snKVI!5Bs*W(HnVZWDyx3opWCw4F
za5}UA?{(o)xdey)D}B5M*Y7b;^oH|q))=qDC+Lb!1;7RsEcMhPnBQxdiN6hpv%eYJ
z0>^ZX#w5Vftb6pC;BS$;=i=aEUf)j~B;S#Jyd2i(=~du`x8`+4y@q#E9yUJ-fBKSl
za92F~M|;K(NtnwjvXceAD!4087EVZQ@)Lmb<q|oSV7uwDkGycvGn2nsaKYlJmliB)
zGw)~s*HWxCsl(|DTvHaX{TVGb7x<#X8zVcI|Co`7Bm9O!@scYnrMTVsHe4e;G3E_#
zIk@xvO}P7{qwNj2B~6Pl1wJaw))fGAxT)DcfeUKNiX!1315}$E;QJQ7`ya#GU6w3s
z;Z+sWjnCn(LytDh!}{a*A11-ic(Sq<VXLEcKMUa<;@a^i5^(<7H*_}}Ubx_JN*+$i
zJZAeEZYh}^b%43c<yK$9RweZJonbxer@m#dcn-}#7%Up}n2vnkH>>>t58zCS1woRx
zZb`bC0q;6IR9XNpnUo#KhTj&-^_9ZTL!!JN;OI#nCz8`PXtmVA-3F(cir};(&D`y9
z&o!QNIq>;wqYWS7msK_#r2cUBSNHF*?XYZ4CY*O=jdcuOdu6tb)DJ27xXi(gjYpEw
z;48i%EDNw~&qZ@m@9c7~k}4773zM=xQs8Fpcw1`t#(r~cQXj3!TDBG5$S~p_1AnQP
z+PV{#y}Y3#7OuQsV!;M$>%OsyfKv?L(Q(2y-@m+#f|n8%&+)+r%+7qj10Pk?&J}|F
zxvZ7$!3jJaRAMl5$=8bAu-rYnaTB=l%+fh#SZjAzlrG%Mn!!K;GpX~1lbri`ZSG$j
zAL8@jG9+iUyJ$HE2fLSvll;&0W6BY@S%~|a4lMWNctH!Cy2{^g4A*eD>o&oA>H_bP
zylLY$zUOduY1~J1xcGw3hi9;{!}4_lxYy#NPZ+EknsABafv@-N4uN%ae)5uBD?PT}
z3%*tDvzO$JzZUH;!t0M48};F+0SmTsu!VtOjTt;D@S%*HuMJf$xs!YsrJ%DCJgAxP
zKyp>3*sTh%gWftb$z^sdR0_egFBrFzTwlZa|JNVUcgE%a!JP@$Hw@x>XZUPI(+xIl
z9ku!jpL|gI)ED+*lz&F9$D>cJ6#ZfQz{Cw7U`;c@m|*z7@6(aw`YkVU=42R5edF}v
z8+e;LV`MZu^|xndKKxl!WB4&FlM~wU3SN~T2+D$g_cdAN!h9;LM|0tKBYbaP!h0#I
z?-s-M8!dG*-~#*4hf86PFCK0rpOQa%;3Moy^^}6-kCje$bizyDD>zB6y7r`b7CyfH
zTTVL6`moq*9zOktra6z~d|Tb=lW;s7;yy?6lO{ZSw!-^P^GTEYm94KR$|c~Ihld-;
z{mf#??hD6Yq2iWJ<#1I@j<F+bDflkB5N7nRr*eUH#1cNfg-=UpuO-15jaSc?!94UX
z$xq>~>IYBiVcLk1m{0KJRWo5y@2$B>t{ZNo49X$*JDjVlVXLrhv+9ZW@M$|%$=`71
z(`8eVbDL@$WqN|+>0-t-**}5SF1^ffj;_^alDkVJbsm9t3T}Q(a*m#=t4CpVN^#>l
zc;~nnuOiIc-Z??`*G)RT=2I{gKUI1S{Pt^|r#`%QK2D14-yb(e*^S^@4UtErUYIM{
z%@Y1jQ^Wrne!RbY_XU_e&^Ul>ucv~KlM^f~I>Ai-J}jBxOs??SBc`qrnEuSB^6T))
z<BzS${&G0Vap4x+%q>z=00$I)E)IhK7Uk<@k<U}in1{mKs#FSd;10_4f`>4-;(NvC
zaP-SklSgo_n_&vspOZ&@a-YB{-&>D9h5MB68l=D(66YhH!A&ZPnVGO}Tqkz|JYA)w
zn*+Z|{xd}GZ+Z9{epSN$|7_giNY38*v>L81{M8x{i`|M?u7|a#EX>LMv%r_Q#3uN6
zYXB#y-@S!d`3roWWh6TS&K+T&9fVttT-r+NjdOeD$KeH=_IPqX&NwqLF$vH9S~DT_
zP2Y_l{3i86YEwZlU-G$Q>u~7IR(g`ZGmaKxNyh!bKHXT7E9E`v-vi6dag{uPlT})~
zkHY5sCMqO9Ezy2m9Im|NszkOo_`fs`U$|#9{3B@(msNJnWq6a7iF+C>-I>c!1ShXu
zpdk1ES|g>!#jr|I;9im|RQKk$!BtxKauVTahY{nCux{(>G}&J?&TMC?pW^u=aQI3p
z?D9`wjRxkX3M(c1cfD6@?ikG5f8jK#57)Pdk%eb9Pv0wrZ*KMtb%EJcx3G}<vu?rS
z?y%gJGs~nuN;^z+$H7ln|K29g6NL%u*ArmcEXxa|ztgYl?5l;fTB#OEf0UtcXsCx%
zuRrl1{rj2A);&}3jvP@+@_pm`d8=pOe<EWyYT?h??-&?T@V*vDCkE2r#mf4McfhCK
ziHDQp_x&@^O`;^H$>t!(@9}q`IpXjxg}}efuwMInZF86|ZZ4RdFAFLMS1sW`n`Sn*
z!Eq&yD*mvP{i!%|JaQWc%-w;VG7VWfU>e44C!WI<EGaJ<;A-0gqv`O&BTWM2`KRhj
zrdT8VK9#n(2`(C|>u-jiM5;)3!6R&^gyvwso!&JqFh{S|$9cH2yW!MlII*dRd*?H3
zzva|N(jJbJtM$9!xPwwl-S7sdmiLEYwpSXrNdC`f+DQcVx^+jP6CP*fWm13_sUq9R
z_TEpGFIR&3G@I{}_WxkKeEvW9eoY4_IUgyrKiq5x$A>cvw!%Dm&G~ll;NLCIWc&B^
zj~Y9|HOlIT$oJhC;H2_{+cV|M$o}FVk;u3P-@oX8h5S7j^Igt{!}_gmbYy>@lf1L`
z0Nyb2z@F4!)8^KQgKr$Zyix(j9TWc<4|`OU7nA*UxZOEE8xH#$e~R>v8L1med2ow&
zWh$w+FJ^yK0zY^bD@v|cv$qb)mBCMc^)HhCd1}OZtPvjL%)3eYr`-|H@D{k>cl*~O
zlJDFx+yzH$ed0>aR|l)vgL~lg1K*F3dYxJQqm%I5(Ts{rxP{fScN&(u*u+8VSud;~
z`U%t8hh~!F&0vYTYX!Dz&e=@PZ$%X;f)uIveN&!8EID80zI@S61s^#Uyp{qV_^r&l
z8U9D75J1jXeLAO`x577HS&ot8)tP;qiy3b4-04N0_q)2s>UP8Wr;c{U!gsg>*tub*
z`2j0(zIiH#*M!4&f3owC`b)>&If}tHG1YnDFjsfwPD%K5<Ir|euYT9e_9Pr;d?S&Z
zf8qlS7!+XV{KWMTc>L9hl^V==<XFfZc!X`1UIU)Z(4P)~&o+jc{RdAnO<%eJFGt?m
zWC)iP()QkhZ@uF&wt%;8iM71~H_S0norl|73u~{!my%xn=Lowp$^GXI+a5{%>kRY!
zF)s3jCCpXMdc*XGzbd%HH9DeezVM4<zn@-&UsH9d--J61{e+$15u>Ule^}&W-VZnU
z{9fw#D42g-@R~hL@pD=+1|HT|8gPVz=<mlQ!CQ?=9529c6}?VAg)^tx8*O0kp52id
z@P<A)BQhQ&@BLdk8$NyBa}TLkrBVD=0jsL^rIGO?zkU0I-oT5RJ8UiCtJfSw+TnYG
zZc9cm$L=#dA7M+gU_DYlzdC!cAExCS`KkxAFE@S~fb*~YlQ)354BQ09U<XmXRxP-*
zSgmaWex(u^PU=GjBYl3s1M{8i8gNRb)84=E)$AXBq~7q(j*HZ37!OmDqF03%YsXk=
zVcPvV4r*}!wosSt@PQXmD+=(>LJQ`dutsLK!6|r~-zEn(*qVLn`*AqqPWKK@IOGmT
zDydJp#Pj+vJTj$oR0h6Jxo9B*Ykdq@I0+}eIYFxccONdgE(K3~*pjCNFMn(ul!o<t
z@;7L}#_X$3qA-)<wM;G8vHs8@QeW2Gpko0KZ_+FkhCdWV{j!2Zj^4d24##i)ntTz?
zzK}?B82;&=e%c$B*w#~f6sCy$`Qt8}Dn6kn1i$bpe-sEioa5U?zHjb4ty~;jcIog_
z0eJ93^H@AwzSqU-5Nva8Pk1&wAnY>73n!U>k;sGD|I5og06TvZ7<dD(8^4g{foJ8X
z?!1Hl`Y@g&`2nrI8~yOp%l{_!!R;yu0)wz!hgt^teK!5UvDP{GS^W`7F8Jru=ROPY
z1^2c`Wc%ihTG$<bj{Ap)k9f)UUH{IvT@H5IlktM=ztGluzf<7!XliyHII6c$HyM`F
zFZz29*5yk7*#KMJ=Ww@%Yo{AE>fr3g7Yi=1ecGP*3E~D;8*=>dYl-1MHQ@ce&pwV_
zhldv~D$u^b{jHsr2|3=oeD20k!-t(uu#@w{*u^LE%<vuR%J4{-X>)e$PIy-N_)Bts
zWpGeE>LC0h^WFZZa7yXfX+c;j{o@EZUy90EMoPn(-_9A4^J&JA#gruMCFjRV&cC;7
z93xcW|1{~t$oYJaul3|9`0W-+ttwcm-0^`vOgC5emR!HT-!Pxhg`?f9dC2wuYtoRc
zDZKH>YBae%Ry}BqGJ?N&A2%e|$H4k#83#Cn?o(qw?9u!x(iZ;L>UVGuJ~1jf<_eFV
zV0tnN>#^)U=?wd9_pqFTUnp!Fy$a{)ZtYxvtM5!7zXDGP&KmrIhmJG{$HVg?k&PSh
zeD_E*WjGdgDgIlu51!F=;@Xss@zRsEf(KwxBVpeSumKa7s}#JqBi~6Jo;<tujf^L<
z`Z>Kn3ZI{PReJ_zDs#3rh3}2V%jm*=`#CF&V8x8sDpOe9EuH=f{MaE-l#CBD6rHv5
zg};0*D0YU8$6In^VGpxxA@Y3to5qzU2BtgOIdci_ZQ##&4*v-5u)GPc{H~@>h4;ly
zzx9VV7_%E?!~HFj5@dYvNAb(N446k)Xe}I8aJDiigL$P7Ig|0g#Qyo55_tQ+D@WpC
z>mLdK)x)}9Zl<Kb2i*CyKfoI{4O)}&LG$4j-ER0!$#_pLeAi1S^Aqgi#vwz-2M-86
zTknUn*7<W^!%UO=^m}2a^1hBY@a^3@v=?C`mKo(b*r55|^B?dYCoeiO9vEc2Pm?kO
z=ZnWdS3kioxS~?mk#FpGP40uMVm*>rkhgRP?;3`)|NFAc1TT3GdXw>o{fBtfIA9C)
zKa<n&n_a=ltgwDdZuUHUzk*p+2p+!F#!bfmEQ-C81mN2i5#P!9hDOETQ^(-LL$3_U
z_}`g2g9HiKeubly22NLr{c!?*rlWY6f#la`Rb=4}^&Im%;dXE5S#?-@RoR*ij;Ja>
zr3PO&DE&aj2a6<sJ<=h$)puz!KDaAe>4z4)vD-ABA6{^|p=byjRRnB50?%y!5ceNE
zFnjx>D6AiPOx^|-PA^cAfvw~&JvtB5+eoD!hbMpKO*z7yzil~A!J)lV3ifbg#nqwH
zu(+zh#3eY8|E1np_={ACoDZxQ=5Wan9>2*eeIE{e|7^w_UbWSI5DJU2U1qd}b!LWx
z(%=z}vb!#Dc^&<?6ga?Af2%L7{IK$H4Xh-XeDgYNruOB|Ti7Xs+aVY}Ka#;a4VTf>
z{q%?3OCPk%!WtJASV_JnKvzeTiT+d?nnrTE*f}?Pc%nvy_AZ>F$?~2No)hrc>jNJ?
z(YI?iY-J&E^AfCef1^DY993q%bQpdtx{*=_9y0v(p9p;PpQN55?AL0z$_ktBHqtx;
zha^oKk^Ms(AD*lW3%#jv+Xk~IPc9h3Rb~HmY=>p5_bFS#HC|j3l(001dyEa-6rZKG
z5&qbdG3f%cbZ+kYgZ`uzt`X@DJ9EWI{)68)1&m&T!&Ode{(vKt-%DPHWh>iq$@uhL
zE{fm)IPIF}2hzW{%pd6wffKn_`N{aUx2^M$hwzqu#exBttDE9;3@r2X1JhU7t>uK!
z6Zm@TS)mTtuiVrx6&`%k7DA3EW$pOZY&iSq_TA)od)~t5n+Hp(hFxlf4TfzROJIR-
z6!*#T`g+!by%Mh9cV+%9Jd{-E`T_o~mg83j4<3}*T@OFY<sYbkm&|+}+hL|xH<xnY
zs{tP6U2yBEmH%GCwEC|Y2I0N?IlrdE_va6ne1&JaBNVb=8u^QxC*hZBp9~Y=u)8Lv
zbMSe=Q>97p6_4cH6}Yv+{L~}Zn|+7jFF4>$Yg!zv6KIf0m4*4Bq}6hA{!5)Y^oIss
zY`VZn#uL|;ytKB%SxVQ%uEQ4DC!g$sC*sE*lJn^i-M~c-_+7y)7ny(Ye>L%#3!Xco
zf6EV6{31Fh0Eg@}d_>OI2lA&*9)^ue%hp_BD=*1N33yMytJ`G0XKpl1<``UecF(8-
z%p%kmCJ%EaQ~fc4&$8bfREGbHwmfGBFaBvcss)ei)*jb~6a6^)&cgE|Ij4<au>r@!
z#_(!F%%`*P_Uhs;Q@FEtNn8((PuX<98dewXd7}=ePH1)5!prx?_i4fVHIjJU;GR~d
zY!%pKd8FBc)a$uzQ-eEt#ksG*QGRN%WIR-O>{9(zxOso-FEU=5q~5@O7xt34eCIgK
zSH8LC9_&K(X_Q<K1D~4iegJ#?O>rmJOEIs<Zz5s-nLi!U@WcM;o$>Ik_S$ozumz)F
zc_KXbeQy<+zbpQAnc+Dcmp^j)F#I&Kus9tqosi8GhL`_r+MEx+eDYVE%m@BiJzh`<
z-~6o`L&j^>hwpEyfGZv|?As69E7asv!P2bO{(Nw8_HL>=_*Dwqw!QF_t6D|_+<(f=
zl^Yf}P5j#dKPch;wFka-vpKaBHofL$!VcHXa<6@Xm3z5InP46t&Ez2%@8eNnf$gkQ
zmd4=*TJ{bGxLvzBehS_y_cn^u4@LPX{(<v7E%$DPKd&cEt-}Ft3vZD6B)y*}XtK}9
zof*>HObb8ZW*eh}U!6^MqKBPU-J}`ehlUa>RIrCY)Hf!$HmUD54SfH&Tp%w@A8n^Z
z0dr4ViU`0hj%BH&-s?cgZDE-GjH2*w+z-*nb{`alSB)nY{=p}>ZhusS!vyWGuEPK2
zC0|j7Q_hzU{DNilS6eh;aW+Z&MOgFnPM@>zv&An$q(1M@8xAY@LY(%iAFz^3Z_Nd`
zT<RGMsegM#WREj!Q@7(OxnEP&R;_l0|FeI6fz*$8EZg3I8OJ&2#^EX6E!+KJfBO2D
zGw>^~(pQnNyf2?Dx&J$=(qa}3N0nVkAoUYZdGizD{fwXZ$$0$PZVBULc;(Nv$r0FN
zd4wV#c2a2d9Dudcf4(S$D{}lKhvDZBpJ~;=n}*+4_ra?l@>go%Pi>yJhv0}CmWiL?
zZ;OT7dSG2)7v(<q;Cb8jFR)lK`^*$P?U`gk#*;3L@IRb|3#|1x$@fJZ>yr5g@3Oi5
z;v;-`ba0q52iN=0GLE0&mo#BPjPRM-^FPV`ap}?Mqr2cOWgI2s{`dj6QV%bD_0e&K
z7MQwG?WO=+y7kva@_jM^tNh2{*q$BXjWA2@-&Ps;zqYos<ogPwGQHK|2SG!9b@0+a
z4yP7eOZ7C7j32Fuo7R}aXEW0U$o+egv6-_K>=8>JMCx}*7rk+SEe~vEs)hrq3+<fY
zG>6u%8dz)Gis2gkVWQrGj1O|nS`^=aCuD@)lJP(v@e=w#*dm2Xos54oCKlue!wH$g
z+em$8l$B9De2}vJ5g9*va>bM~37)+2r@R6_Tx$8d7?!LVP$oH}j7dr<thYInt_+@y
zp;c>y!xipC7Qlir6bsF;SX^Z>d0r85-7q~0ue}eIC%Gl<@5l+*R#CpT9G2zP{z{*V
z`9)i*vqkWqi>iTJVb#vYF4Ddw!$)0*;qm!v7R9jYxd+!o;BD%|w@F^B9OSD8zc&fq
zMslW+TU;8jYsl4h(mrcCf!cF$L?DL=8Q<T;x7XDI9{w0zPPRvG+WoB^JW?W}oC}9K
z+Bi7ES6=R?BlQ9nTXy)tt^UOkS@64a|4OdGkH!uZlkKV7vyvYJCuil$k=)?rgmE1F
zT}arP<Ue%=^$Osd!&$SLu;1<WKSl7T{jHMZ?^DTJ@M8>~RKJiz_OFm;sp<$UH^=&s
z?EmWLNeb(*Xt$p!$sIZ#Pg3OJ?_<;btpWZRUoW{2&N?OJ^bS6L^~2zPxIxYQ2>E=*
zZ<D*?@F;U;3F!}Z#s-I_;KhWmS4jW)m^S@M6)w`}r6zyRVgFITGq6(A8yix8+DxQP
z7q)WxH&+7xND%PVhr`Px3P}H8Evw|Tg(Xy-Wy#-j$ECs#_VAfK&;OC_Q@)_)d>M9*
z=)6b%9)V9z?79lq$P{Fgd|s22AsY5b>yjY33@>BxBiPfa(uCw6UeD#dgoEq4zURX%
z2Zjv`;j@`_bR_S5R;kkr7p-<iko;io%U`Xq$!dEs>F<KugO|qPQHf7@XD;Rw3a`db
z!6CZ6)+F!wtrxxVC4L|2-#$y`cTP#GoS=b+%D?U;`MfQ=6c=prr8)lp^FMOihW5el
zza{aI{xx}p?~oEazj`%`v|pNjPp2|`aM4<n{C%1j4(_vqyVu3bN&jBc-P_;*E6<85
zlIQngo<l4lu*}@gM$&)lIJm3A;OcDod9pv=`;M19hbfa*FOhs=OTR@1Y<ER7iRAH`
z$;R*CR?}bnB=7T!qWS=f8W?MkTszg^&j6e%@Vk@jpBK(*&%VO@<*k2{_WktRocIg&
zqx$Vn^7Dg#PyL03kGZCkJgT$&By&F2b5E{`ket0EXKXiYaMIU+<Z`)=UqxW{p_M_h
zeIuvN1&YB@x;LmvzJ-3bzXm)wycA0EW@$PhZFtx#pnx3z8%L}6+rtq*f5?!0EHA&w
z5td5}wIsQmqWy>4u*k0I335Ejy)beKfK$ImFp#`~dz;-8xKv>@hU7C`>kKLIc9ED0
zvVZb#=FyeIeAfm~k^C3ylb4mSUvQiw$+w-?&g_OgYr7Z8{_~AKsoM+BMTK4=?UzdC
zd-5BmdtbhRY=2%5v+6p`>KGwN^45+w@+<{-9=Z4GC27C2e%{0$SWzpwo3wB1UBls{
zu!BjiImthzs053{*7C7;NdB*M=C&sMP3HMlk}r7lA3O^)awoKt{#R_N_R$i)OPyjw
z`tP?G$txG&gRODbNxoB~&+{r=mi&;0<Tf02>^ES6;Fv=s*D1AUj)jZP1Qe0}`*FX1
z<zv|F;p5|E`?Zq=H&?)8Dp&tMpSe=aTu=p99t;a4$NLA?>qc$xV4dv_^7+Kq4wN5Z
zO~!kYBxl~X>Gu>&6R%&D2k%vxe>w}-y>s&?+mlRZc={jwLqc*h8Q=Q+Mt+{M5ci{B
zbz4b${d8W$Fv7Ga7!AnzaX8@q$z8C6qX--MzO?b>5nlNC%dw{~;N$UMLIvOiTaJ2i
zzHa;D6(A2M#now(JW|c{h!X7SPU}N*oyY}&b8x_e7wgYqr7NG?%;D*K3;Rhfo8{Et
z3(q|a$RfG<VI7Yv@P?ee4$|H<mG6#G@W<!Y#w7oFzJ6y6oN{;U8);va$UTb^c;4;2
z1DWqo-{?YH2HUCsULf0dEQ$ZWe)u1s{bjO!n+3N09f0Xg#-EVf^IY`u3cSjFM&SR~
zhZ}y0zhG&<O)p7*eZzTpimeFGccLaz*)Y>8QzR!GyXmJH$$5lhLL}iE=_f|X^`|i9
zs+cq!;m_ep`fKhf{+lN7MrNaBvOTe`+XT&E5vA7u&u>=uS+=^spDL*o$md)AReapx
z3oE5|<al87e&-eh7oHoQBkgl2d9gbb7Ai?)CV5QcKE^b76aBjclJmLIl)iv(-VJ|G
zwohK{dO<Z@_b&Mi$r&@xo4kk5TlspBT+pyb?+d&XbbT!YK5k#}XAt(vOiw5M^JC6i
z1=d%X?{10}Cfi%zkTJ;)hwA9Flk3yNQNti**v?u!h4jZGoeD=!!@=>|4dnc~)AqTL
z6}&rc|5=h#{J8(|0<5xSbQd{(V?{n*@`8EhU&fRE`a-IV+ZT@8-uI3ipNWnfY!BeM
z!N+POr`SsUE)o_wNRds>x6ygL%<=H0!7@?OAI1ylD-+=p{kK<1ds(d2FXY0>-cr}e
z{tFmAvLzqh$Di<(^uN7J+UBLOb?O;A(tj^?i_lcS#=f}?<nM97R@b-&zS3)WHU+lN
z5}~StzqXbYq{0U)b^mLF{bi}Dqv8EJG^w4ir-3C;EPRAYX!Q%sr4cI}1j~%Hs|>>w
z2jyDGcy{xj%%xuV<5HjA4LGILH=fjgoeNmF3NNyqJx#tZk)!IL3oI}E<q@fWFLE)#
z3Eo$gf2spsp*ks|58sI#ktI3*q4gGBcu2H(q8+~2UuAV1PUfo_>VaRg2T{ntw?0RN
zlKf}Kq8M3!eazdUVHEby*bzgCTr~AD#~j?9M)PtQd8$Kp*&4hzoo(kRJmxyRjj9;e
zn}rQr-7w$5ujgpsoIOmpdf@x5+%Fm6i0PTI2AH*%j$#+=DD~?{6P(JXuFC<x_q<1+
z3ri0#{@{lPCxe_`!Zg2+DG9?`dM7WD_46~uYZ2n`ui4{$&)`mH`O)KWe3qz780=u9
z+J6f6a}jDI?+f<pia4SP-_EM+zX{8gid@r$8zb^h+=gB1uC|-N%hb#7{op&5b-rfs
zxY)owQqOV9a<40F9JYsnyubKmNyZ0vcw_fgcT&$Ova;tg%)q3y;tBI@I#KNhTV9hi
z@_{ocf|>5X>xp)Qt}wS`Ygqui+^Lm9>b;}wtscQe{l0?E@OiZ?y2r3#x>GQz7tdWY
zO@ZSg@9(gKgWn(9m<IRU^uOo;U&;(H$bn<Eo~~KJQu}Jw^I)T}dllsO4R*$ssnsyE
zLXskRpYub_1oiiDR76B7sqapjN@{{D1)m9-!1h1)tF*$6kE27$`=FcZF2;4kX3Qx&
z_2IJX8S=gGuk<J{Ls+SEE$SOQPZR%}yx;c0%putkcxOe(IbB$)=4$v1Y`-2hOx|z%
z?L@A`4|sd$wNsjK)}w!ct8n?+l}2Uai-$#i!z1$!hfc#uTGwxHD1q0k3ds9y7lJc|
zHo?m3@;;>gWR6A$GrVw2<S%)j?GIbuOM75}C@ynSubxxi#0|4pZyq7<vprKke{nxt
zJ+!7w-iO=vK(Y29JQp?CMBZo1zRlj{2uy#p`7n7OZnI%owIu9PpIu1aXKN-gU?&Z)
z1jI3u_u(GjAX2UXhf#UQllR#&E1W%l3cmKua{VC8`QX_r4Omf5>NffP%5jmm=d|G%
zd7e@7`xQ4T=9h-B|E(oQ@;=-44I+jnuw?2$^FCP2;7;awSh+q!m%Pum?RA2V4SdJ#
zIt!_1X;fbGh9@p5ChUg)W}JI+33gvU^p6$(ZkNA!6CRnIzD?eLOPTQ@?lxTW-&<8u
zZ+zcP{vmvk|5D3#xLDJFJO)0w^K8T}xSsk@_zRf1;UCL3*joOCL?+xK(c8xei`S3!
zm%-&7H!L^947XPNE8%r(tpJjXJXyNh4bx0aZXvne!Uo=6`0V3%M@fF*&pPKKtVgX^
zLJ!A`ZT;{QuI`c;An)Im__FEEw%0hm`OD9feBN@G?G9LNcX}Yn%@wy;9)Jh5co;}-
zW64T;2p%_Q6(@PwVFoH?nCV(zDS3bI&QbPsRX8R)XozgDNfJYfB`lpkYfW;hAM9!u
z;AQqDL9)FYRx5sZ!do_J=Wc?(*3`%Nz-rSvJ4n64b=Ilt@KkYnG$kyV!xM1}<{r&8
zCiU&XHByl<NA&t2c^~|;Wb@!dm~ntofz%%|<rGbX@4B6-T|<7so~QQ-`Mi}*FsV;v
z|8V0a-1#|jJ9+;v&GUNxLfHFE!l&P`i4Ydxz=mmEM&y0;qeor5YGJClZye<NH1BO^
z{|r<1>`a-5skiQU*9+%s?6W1mzX}m8u%Cj<-OfzU!Zzah+h<`f8`C`Ud#!DU^orNv
zOU_rtr(uSyvu2c~nEz}^Fd=!ehoT`XtXozvGzE_Z$^B!8Z_5sBBKg8`;Wcsi&bEnQ
zl3$%W_(Te>$mPgifOmzn#+`*X+j2;fe58k2UJt$?V0w<^yKSgsoZ&C;wZBcm!fNYZ
zU19IESXz?Py&LPh2mj&s4<)&?-0-bn*o<j;7x{Y_M=`f$!KeJ%<4F6(Y8icUVduYM
z)ues@sV}?L!MoI`l}Ubi_X0~JJTm3sMDmM4A9s9*g*c?<|G#~6EhVGyo55Tbk~eDR
z<o|>3{IriJ`F)LaBdRjoPkx?yOWNlWdsmkY=J*(=Lh>6TH-B-!q1}8gB)4}kU6O!j
ziy9V4``aJuKRyO~_gU;Ad298NhdS_L!de2!?}Z4;{s$L+k9|+}XMPfegbOSf%zv8X
z6&rr_yTPs;78T_E(LOD94P|gqPMiEHY~f|+UI};TX<s47A6J_YHETJZ&pHzRk>jU&
zK{SgU4pd?ZWP-aM@vj|+*HZPjZiVIDg`dd5lWe2W%&^=H=ZqyRW68qC0Q+1Kh`IpB
zscS2cJly<q=vDZor}qbPJjn%o6}thm`oEqb=a;QU;fG`4p3qP3B$sA=)cF{;t>TU)
zd25eiYayJGCBi{+Z!vZ6Vz|MT=^JUk%X9^M9sJ}3yA3(NNWOpnt^xMb_X#C=%t4om
zVK|A#a|g-$5<D-A!rv8oq)0Bf#AfynKHAk#PPTt$otv7f0`D7`EKw%g|AO!DS-gr$
zPSYa3VGFD=wqcDI7LWNbuopHxofcsSn=gc0k@IP!Nd7TLIC@WQ&mlN*@dDo~xWee-
zIX-wJmrrvE{4UQUk6a&@t!}O9S7Lt3_TNEr{XMY9L`M&PTtMyQ1*`wc`JM}JQhqs3
z?l=5OeU4|t>o<;c--Gw1E%kT767yra<bKD6tx)_EZ10pm7z?{L(BAq9*OYpiCd2>j
zc+<N8%NMzw$%g;*GGAt|!u9Lx$+|+gtm}Qp9++|ajbie9!q#mx9*VFHtEpHWe4;9|
zK@MIqp$s6u7tDS=RPF)GD$Q&dfR`w*>~e!uR5z-u!a?t1(i&ky%a!^cuvIagW()kj
z$%}*BZ$^7k%2B+*dX@KjPgdZKM&4sou%61G%^#R)qkHI1*qZaz#1c$t^IeP?w&7LG
zTZ2Cj5A^cEC;E1XF2E}9v~LN*6E?|f%kYn#X9T2SpWn8Ab8xR)S*t8eyO=vT54*RP
z>^lXYwQ;waglR(g8dTta*Gg)p;cA!t9NO@oHc!<Nm?|{<y$)PMUzRxrcg=^gn7|ih
zJPr@Rm2S(GxXX~!iN^n_hKme;?y!N=Q|+1hU<E0Y*LH9mcaF~&*dWDti#r_6VDhUI
z4jQf~xCl2ne1Aj!|AY!(h0$&Jm}H>hM|gCYlQICl%-oVj>Z8gy^}=DlYG=U~xV`7<
z?+38*@XA~V-0<^i@>4j$DcqwGc7D*OnhK9GvL9=MFWl&xErM@d&MYJQ*C|#qx&+ot
zmA=&s+n7ko*28R5)f+#+ZSxO?8)4fx-NpvE`|g9le%P?GL*pI%EN)VG5Z=FF!$iLC
zHPvL-9L&4)C7Sf7uaWZC7GU=*&vP~KwpO|Q8>%t>7&1Iq0YCf_-AE0esP{{I3xAn<
z=*|ou3>X$DgWvc}?%o6MHEGi!x$E%Qj-&9kWueYe_%@yFYccrmwU)<Ka8J-N^HVU_
zDmP~dtZ+DFlPb(dUHiQpuDcbOWeBgEFxnQu_fmRwO<?Qs?GH#^<lCw437fE=-AVGN
zqI^r<aNS3v<0S82<(vtJ%f5$Ik>h7o!!;@bK2w`KLE5Xa!6q~l<|t}(Bze?Akr>`|
zDmU?V{2|G=Kgu{%3wwvs>?V02_peX&aMFjv3M7{;o^JjI*EuV^FM!8-WxPgUyN-*q
zWP3*}4!W$v^!k2oB(LVYvWxO9=3{50EXnp$e>W~X0LQC`3>U*gUYRC`U|NC3Ph@}n
zYP|VNAJ%LBrbGHiXu6QD9vmxV{)+7Xd<U*HQ+RWpj~MB1pImCzjo?z@wU}<$?NZ5E
zD_A><k$Di_`^+%I9Cnh7z4R3pUp@WT7T$ZgU}YS3Jw5WDHJp3$q{$S#H2Ud<Gwfq&
z+(VAv*Jh5Cj_|e9Q?ftdyi-Pc7l{SAk8Q;BXnl<@wF~@4tTcWTc|PqqZ|DtAFMML%
z2H*KQok!|(xh`JY4r`z2+TaH(AA50mFYGtiTS)5Ff;0!X;e5Mln(J`(cRN!-IFRzV
z1*w-XWO^e6@A<@Ca2pPKaO8w2>>2rJ^DQ`me<)cTK9_sNEC^PUU`|wm?^l{I+=0{P
zS}0ZE+D)=nq43Z56W2B2ME%rKQvdDA^I>iH(76BBNO;?S?<@`BYi8rt_u)w0yEVqJ
z-m#jJM{t2bMKxJJ>h$V{J*mHQ=^ih6{=ZpaT>cpLs830`2&=w-$rK9@Z}p_{hLf0r
zY?I+A+530MctW3ie^ny<JjHtAI_%Mx&-ff>eR<24j7M-Ep>TW#cSxUW41`y9bXH`+
zRQy*?KY(|Ia4=`U=RX=}N5Z@%KkV}1Gl`dk9>ax(V%52@iL+UF0{pv~nyCa{WWKhQ
zjF&7%DLECvg|v3=WIWGPm#L}(Ub}y9j*O3W$!W5b!EUKOx@5f5UzOeA9c;8Eww;V0
zX_}sW`vwkC3>7EiQ@q(6yXxVvtX2^+AH!mOxrWpqqG@{A1TTG6+}#Ar(9P`pMDn|i
zZlpf`?yOH2vAXEHcDRC9*mDHV-S2gg)Q5aH_IV6WW0wB#3645%tUm|uIittf0Socl
zm(IidcUjzf;a5+Cq}JeHLkH`-VfMhp_}}n8>shuTc<=BV)(x1CK0CU8@e6D?-E)l^
z4lbztFam$v|M$-pc(+Ld=P*2^&1OmF$1k|wbDx46Y)=j{!>T94>&M}OS5}H-zWzz#
z8TNUYE-Rp#3+|85@SKHPIr4aU;FB`6waakud}j(--`DaV_1+~|^zH`QL$IVurTZUP
zL+Zd?F?i3tSM_V~mpRi(2{`DjGdtBgTpw@TwmSh=3R-&pL*8gy-XsSLWHZ;&AZK9S
zTu;_pRB!&_P3m_uojIffkCZ;Gr-#3s@W>?VIh6D7anr)x=EV%AuvNw}&+YJl-C*c>
zn4ylfX)D~GCAeS>v(q(jGQ+#0blk}L6K0Jx@15|5-^rg`;ho*O^=xp;`Ng(t@V>cq
zUsBIMt0qp?w^Th#Z{&n8x?U`}2Y37W^033d*xOjhdKpt6ZtwlDtKZtg2)NLFs+k-9
zt8Vfu3TA&D!F2$B6m-Wo9xm-M@a2aOUz_evgxBr=HXMP+Vp&Ym;QqXdeTU%CJpZZ}
zBoDOo5{E4^a*yZ1yI0tokHUMtb3M(6ckQX#D+5!OYjBmq4q0A4QgG|;_qWSo85ZUS
zIrv@6Jk@)+v8|T-1e~YoZ2JLryKUpC3}=6PJkktHUf9{B2p8XBS8IbaEb=(j;nyo?
z>d5bl(`^jBPs8bHMi2U7ZG$j2V_146gyB2PVIzFe02bW9>PgmLX&cwqn8PncG#6%I
z&2Srzb8x%Gkp2%?zUi;4HLUKut8)c*;*YMif|IMVj{SmpvV~Y3VVaC@#bo`M&*3U}
zJ2-0Zb#}6TZ0wKDdpCG^tSD|XZ2Rmhn+u$M!{FamII`@bi#OcQ7k+gYd@S&9%|&?Z
zoA@^tm~A3-w;#M<<6^NFp6F+Ey96sLv(|9KSMDUgy$SQa&{Y(K?UT4!uftUt8(#>)
zx%YFN0$`8H6MSU7;oCOB_qSog?LULWNlstH913?G5~d^T4F}zXT!P^3K2y#oVc*5V
zHxY1?nx%s#oUIk*O6tdo_qS@pPJdb7K7?6a%r(e*L)S(BJ&|zOI)A<~+%`e$^cePy
zI4^7kPf|O-djzW~i#)slk0|}vl?)FTJMVOY_XKD;C&IhJ<$TF{#H?-YRcWxvz}00h
zc-dQs<r%#A`9Bk~K9NHu(>@Cxq>kz#>l3eaQdFnILp<&$ZoyKs*LLQ^j)(Kg1L5?i
ztq!?xpKAnn2t2nzy`mVVFziT*gxv>Xn2O+U<*zqJ!wUBpZ7bmTTfc54!0q>pDof!-
z`mwPj_|TP(?eAdO9042hd+B${Om=Tz24mL7bU3X)xU>%b)@yp2{Qmj0VEv8{ut<h(
zP67NP>%@f?IFL5xAo;zs&R(A~{L582)87#fDqxYR$*rGYQORzG8u*((r*%6VqVd_Y
z7M6T;zqkkPv*B25foJurwspgApYRyA!xaTbEC=B`G4@@bVb4cKCH?T~lBY}`TzI^W
zegqb%FMItBwpX38{00lFHF1u>tP;kBlW@cDoe9%$o6Y6T<FM@$L8>`;I)3Eb5BS0n
zj~mNy!Xib{44k+UGO`NudN|N5!>i}J&Ql!4c;oC1vqku$)^Z&cTv{}q_Zz+)E2lya
zpELYLvj$V8TW4*7Gi@!5Dc|Gyur2QZ6RaTY{Bj++(1yNnW_T{3eFF{hYc%}ZIAK5U
z9^;L$mYM!VF8B_!Z1xs->}1M3KTIifaw9!#U)rsI06xF-i9RE&bcwf91n$sC%w~Wu
zvzSYZk<VZI`;P^-JNQdN5$?M+olWYSXJz6~!G{M_DcImnr9f5<nCZnagWd4zfwt>f
zaQ>O7bT0Ui8Rxn_d|T!Q1t-j4=WyN#cHr;P;e#E0Uw^fLd5^zI=YhAU(W{(?wcT0%
z2*F{I#x)M`eAb$dApGZh-T`OWL{KYL1dh(7O!tJp1s(iz7;f8tZkrDrsC7eA6294#
z6LO7wzRNIG3=XkoShxXy9L`vgg<qV>pACoUZfT~H`c+ysy$IOsb;8O?*hIytBNpas
zv(r2d-xBDRjEA$eUOhPl_sIB(Wx~(4oYa(qRpl3Av*F-ZflpLnQD(*6MR1|1$_lB!
zd9w0qG5k*R{%K9P{JQz&53uWj^<`48-~4T`4(?D^I(-&SkP<a(gLVCul1M#gM%lX#
zxNAsiK_4DvHhuFIKG+wWMCxB<P4j+-f7&<C8^H&2WS>pJwTInQ4d5x;4!T+R8FgNq
zIXq6`vFR_Iz&WmB46hC_IQ@fj_VUJA!56*FCpU?r|6eTqLF)Z{skG_f`SPC%cCf+m
zWcA(fttG}Eq`vUHdOj;$YkNk)5q=dno+AjWdl<}F!}cSOnGV7^459Kaa82VxgeV+i
zy5$k6za;&1RUBTEmz%r@H^v|TsRYwHio}rmo+InVDzMjOs|jzoHuFr6CY-4M>7*yz
zZ?)s(S$IRvh6q1c@JFVM1$_T!&j}y+apR?AEBL4PrU%#I+5QiE9bm(64r8R=qd)eJ
z6P%s-@Yo$#qhV}=C)_OiGyE3(eWuFZ8>Z9b{1ybanVHz!fdl@vhLQTFG?}IVI7@nY
zC=_lN3{(q;H=3wQ2E!8%UGg5l^aD<TkuaqQUG@`rEPI1Q7<{dInK1=!GUmM(4W~DU
zG33MHe>21$z+ty;dlkY;pX%?%!rOJ*7Rz9n8R{>jp8a5>Q6*fxnde9n{N2(@zZvdr
z3hg8H#^%=Lt?>R`FAhD0qu%F9cf;}(UH+tAYP96Z|2VquxSqa04&bP?6Ddtf+R;u!
z(bV3gJ(N;X6uuG>g;Hq|4VBUoDNRYcXfG{kXsKu+GWxyF@6YGs_3rYypL@?apF7SO
zfR7k1^k%|`wTzQy;9~KEL8RU?%z<JKzC2~olLPMx&bhV>zvekFngzQryqW$6YwQXQ
z$cJ4n9GRey#q|O1H^R9v&t_k}&F~hT4*x>f^&iz?RydUXo8U7z;)Ph=4*00ori;b!
z2F{9XK{$_@Rp15uaOv|F5tuQO_d*%`X+bJN64nsrZzc8Bb1vVcVdJmjyWYTd0pAwY
z;LhiJno0fhL<vhx`1m6+o*I}VslwbGu9DgIwgMg<TQ55Tw;Hf<)x*{1EwZOz)7B2|
z*YM8QoC&AloTZM_B)7ImzJD1uFAV3bf(6IF{SAb-Yz#Zq1Xs?STZ@1b<K)?E;olE?
z9HZbO1}TqbxS849E(PZGYi4bLFHD!!romy`Yu(ylyB4{s7jTb}0n1zXzs7XIm+&2S
zHP=qKHo`LX9ZVhVeS+k6&pN4F;rbJfr6ji$)};IZ|JU~BcnfTMs=?zUe7YsCs0aRG
zA@BADrlS7i*bbk3UDdh(@7_0E&<9`LzVF>XI8k|zeHZMQS|zzr&aUcX7(@ObJQZ!1
zy91W1Y04-0Ud`WIIbkiHyiG&!mwgUQBCy)As=QwK5hc|*G5Gk0)b(Nbgx!fVN~C`F
zaZW#c&2oGH0odby(4SFw-%j5ieOTr{-%PT-f&(JTMzFDw@vl#?#K~i2M_{?l)kb5a
z{wWLZG58UGLds{@>HZmRH`smm8T|>k`Je3dlW>i@PSQMl%kpmEf3TMlqs}yJ|H)>`
zAI{7kd$0gkAG_@m1pl^DSs?X1wARfx;M2^^YTx1R;Fpat@RkkbbEH1mI(*+f_{hj@
zm7j31=A>u_+?Tq0W*L5?(h!vi&t)$t{)UTVxgv^TgM$|)$o3oyD8HA&d_HRO|6sNA
zmP?JWbAQPw*`95w&arp!l2oAd#(G@u`5bRC0B`r2_&~N7Z5;h-2sT^D+DD0eYJQ|-
z7C!p-Pe0k-#|vXSzrYGvm7>(h%dUxY{egLIZ|o)8<CT&R`UfZ3RteI<c9~bMFv{cp
zAoFqu*`Ca$yOUes0ETC~8R2}p_hUQZ-7#$~WP9I_Eb8#VH6=H9GQ)S%Wwaz=qpkOw
z$o90Vk35xzPum-EvcQ9v?qy*qsjB`^{W`L}e-%|*G~u%w)>+wL<u{z6*09UuhwV)8
z?L8(-w(z*iof9PA%2)i^AJ!2OET@O}=ln9c3{%B+&~Jw+c>_y6!jE?kSS{i6zf9O}
z@&SIWr9wlFk7cj^`i=YX|EWCxoE%@fwmR9bBNrYWvFnC2wMM)5AV2&7*Gb`YX4_M{
z;i58$Led`a+-7l?f>&o%ZA)Pv|F8`bFz>Txbfo?BaghC^0-xRcqL8$gLKm`Pm0`=6
z-Oi*vttn$*GK0JF!W|yM_kLb{Vhr>5Ze)svk9xk1d<d%+_E?erOJBf$H4%P$>_{%@
zzuE%C&!xi`V^h~j|D|a&{^1Gy;3}^v>5qovwfl=;<D0p^NIiW5<)KnoF+oWG7Tl$F
zLb(yXeJ*t+2!7=z{`f7d^nz21^jDD=!jk)80f*~f$o8bFtu_zA(KWwRNq=>SnfAsw
zyw^!6hSd99`7k#Dv(hI{kp4|C^Ule6Sh~GVAqu8fa_#&I$G+JgO8TRx2iS~%z>?WE
zA4&g3@olB}Crm%u^8fzJr6WUjg97%)!rb*l<VT*~O56mWIc3wE4xe>a=A?ruQqPHy
z{kh>de-H!w#^sYg+25VZ@7G!2=E|RKq(6J+T-eSIJ1KOWA>Wr>vxgxsO!r`<z6cI)
zKf)sbe?M8^PQLH0Tel{N!&05EDoFdC^p1f-0?w7@XCm!s-DJ~MdHCoXA!pM5jx@HI
zD8ssb%ao*j?09vjO&z{Uy>yJUr?JwHk`Kd~EG555d!xVZ%xw(Y<vll^gw@WTy<rNw
zK4nh*0*A5h-(&>`dQyI$g^ly|J#667{Nvgy@K9ykr!%mOn1K2m+;p)>-w&p_cr}LP
zjnd!iLSe(d+>s>jWaix)4&O5O8zs3Ke}Zr#T*}UK>npK9+udaN;Jq^gKj4jzwD07>
zt@~)Nk@M$g-L-Ge;d|ZIUB6({CY7@#u<P_L!Btq8<;q|g?AYafVI3}c^1ZhS-gtX{
z=Nf#IRaLbamPk<a*@W|x|5R7OB3$d2vyHTW9Dl^PR^Y9sOUM7h3+pOtHi|f2Lt?&@
z{pXZf>ue9d-~LXU^bZN%H;4S-%X)Nb{cwRIyXFOWbo4+p$s@849Sngtoc*gn&TqH-
z1DUsAWr@9^r2ptSwVrk#UX1x5`4K*SC58SWymo;$XbRRTtKFOpYvpGOll~?B>nZPC
zc-yPai=_RiH~lwX0N3y2Y$f$uFb{AM?C-6<lk^9V{<fLa!E5#Pb)^3JrQos#*hOWI
zmGlSOJ=pfQ!IF}KCrLdgW7ne&*zb#OIoY2=J;!<a;c%*}jAZ`^CGH6sgtKYV?8*M=
zQ!b$xhqq{Vzaaa!SNQU&378^sWfKMVFK;UI>>T`TY1h#Wu+3c7t3_DN&-N#2pBa@8
zDgK1lu$VGwUrpk-rLDoSY>yI2`x;Y~vul$Q#-Hg`3#7dcoU>Wl4BOItkJ<zC%&neg
zg6$HSC;8y^()WGLa9D$|yePbI*Y^lJTpM`swh;UwQALOcep2TtrT`lld`#a14_ptp
zA_w0Meak2W-%P&St^!}$<{7pR{t}e9TNy4|H?)(1>#{J~g2(Jv29@CLF%3I(;St6;
z4HZ}}`MtX-?5`D7tqGUp^}RBJ^Eo0!55u?qO)^-*g(7lUMzE61xPt}E&%b}GDO~>c
zYrZXfi+&{H7#zz#MPUu^7oA$QhO5>WEu3MkV7Zl(u!efq8mZsZq-lE!ZqOXmcZKUh
zqAV}Lk=8j&4si6Btg6ef&GqN%?(q1Ql~;FQpHru2$o489ZWD-v177(kdct?I*OD^e
zriulr<FJCI0Cg7peB0L`l5?-PZYqIo#jXpVfV=DBJ<DK^%qtg96W6{!(F7ll*|h5<
ze7|gK$2&Ml?zi_D_|xTlL);Un`hB*zhSdLwUo7r{3$625F2HtjcV$1o60eV+@PoU~
z^(K9UPt6`H34o~-wm<j+^Qo5FlKRj@r%j8ndsI$dAl&jm;nHSh{Qi}Gm_hPwd{GlL
zaMYb!KS)0P+Rknl?4w}*mE_}Y)eU@bOT5a#tFVIy>+6GXl85{4b8x!cO+j_|%L~K7
z%kX?RN4hS2WVu!R68y04E~5dwA@IfJ>+mzBJz?gs|Acr4+1^`|ly67ifMO=T+wkLL
z*|T;qom#MO2rNBVG~@ugA9JmXfScF#tlVHqnm)EWaKVg~_$gRPFs3vSPMcWH_JwVS
z{?R>zDWk8loQGw`2W`^eY*)^x%OtN*d-e!+kXCmIg3pzGH_nF*Ka7mshB+S`P0NG-
zsIe7Az$a&^G%I0=niA=IaA3RRy;tz|eO8I_aF4hAbS*p|{F@^M{(SL{Vl_P7uJ<J!
z9?g~+>V$v(UG#Vg+mv13+Yb9OZp<o#^X~oFH3M5SKNENb&xIX4I|)k+?fmry&e{8c
z<p+HDW&8O?SV?%-i4{1RYTL^;m_ah=7()Y|Zz_B%^&VDduFRo@|E$|k4Z)H8CI*}^
z(~TY1$6+ekkmMb(uSe<8X;{gJ<&ZF(U3a19D?Ded5iJ1k)Dp^Cfq$^J$jHNI&dmz^
zh6kyB1k1oX?q>a3hl{uS3u(f^_q;DqA3*y;n|x6XwjZ__qlKT**uT?-<zI0-Y=xtC
zU*<jxuM1JXWr6RWQ1&v06^GlkxnP})BX11g74J9sJn*r7+nA5Q5r1y&6M!e8gq+Rb
zgGHC)h2V{j;|12R6o(F*1Z+FAOnD6cu&Q=d3J&?5d&CjmEyMUv0WQoc$+Ux;_cORF
z!($t~f4ahsdi|5?@Ico&z2h*$xevx#FrANBf+zf6#eugr@LxW`D3bfo8OYefPwM){
zNX|W%`qU3LyqecX@?*9YY!_e$VH@F7Ft2qZV;sDbY1Z2b7W}es;XeE#A-d`$9H5i`
zJsEBu_1xwLM{fM+kP06z+;-d>{x0)qI1ApzGyRfmuaSegAP<hpmppozn6E{m2)5d_
zp6L%yq^VPu!}C;{x?%98tMozDaN<RVgj?{+n!$W6%sKIN?k;@uIh#i_d_BNNB?4BW
zS<32yV@mZTGU2(q)q;cYH#zES=`giksp}Y=oY;T%HT?cb<fj>U`d@fmIgAVIrC;Fn
zwMy4!cso0<{CAka`E*GWOvSBx?hhQbAdx)=pV=+8LZO23zjFWDM|f>!V-pRW`{ZB3
z0z6(ft;Gz>ucmyNhu?442;Ko7&NUmMYD9ZjCqc0b4jcU<Ndd2(&r}zLt19p9=7wp0
zKdjmdXZ4Hvalj_>PvWHEzP3ZGqHtSe5{nXS`laoJ5d7J#WJVPhl^>;6fV=J$oY00P
zt=z5T;1T*EWqmmNo8OuiEXF)oW(G@fuj*^ShP$^$TEYkD*5}RPpTAic9pFRqmsCw*
z<6Nup<8aUUD<e*@g|(xjCv1@UP0|6*K1JK?1qZ46U2}tvEHmq#gU`oIcDcZAcf5D{
z!v)Vreb2$J)BcIqU<O))`m?Z@w<Prq;)q7pOK@Gvf#5KBn0}wzfAB|vm)3XTBnm#7
z+i;n9UH^T!A^4hA2+SrLqVW*E^7ChQ1bl<~eswC$@yOzL7@R9+FP;utAAP4E3ulaY
z=j6h6e0)h!@B`5Utk2-xJaJzhz#K(JF-7oQhH2INa7WdOdpTUN^ll^*_UEOWu7=$w
z*`zXH?XhvwI=H$m<XRqlYR6i8Gdwia+LZ(ESnpG6gP(3cz+VVIr(Z1Xg@sM8_~pZ@
zoZbBW@afvwx>8vC?_BB#th+~;4Ku48^1WMmVFEV%@u#=}j?fwUJ_p;_$kNood;BY!
z7h#t`%IqH4h<aG}C!91Rx7G>oAL@R&1|M5W&>Mu`sD78;q>A?=t~4d|!Rd-iNt7@}
zi}?Hq9OTQw%>Ykbwon;{J>s_CWP+Wyl!Q;h4>R^tvBB|^10ToX;IAq^?C_aaN)mJM
zre3G7yWsCd$F9!6KQ+CqcEiFQB^`@!`Nrrz5qRxu2j5q?B0f!B91b?zclHNdE!I>e
z11H~AuU&!Pe;yW-hXZAjS^mIm=9D=q@TZ4)F27(^g<Y(NVCEp|qK!=$pIy+7ISf}Y
zZri+${O9!(|8!wFMUSJ@$devK1en6YpS?3F;q{inX>)k)Si>p<%ojj0;S3LG)jc5f
zI=zy{u5i-8j@d16*2rajKX`XM<sCXW&c3ktJgGN6@?jfneDmP*SXeRW?=BixQsg@4
zeOR4G*M}LVG*Aj}hF8XSJo$_NpT)~DzPIoJ(VipUVfLQQi6gLX6}Qe8_}<A($zhna
zb!c@0uD$s5*#vB79<M|8zqg`+#yGq-Vfk|a{x+_Aa0wRN(DZ;D4<2ok-CyCa^0#$c
z;2Zrt?SEm9jQLq|JasOda`_EAU3>np624_^=ty@E<9&_I2g=~8q_J<*uxs7BIdZ)2
zJXyHN23HJh56^{-`Za>L!;Bk-4m^fexxX%1!o@AWwvzKtFZn+^Yq&c|#5o3D>zaA*
z1J_U9Hz)ba3s=;A;lIhXk4f&)%%K_tkFBO@lJnU#t|a>g9M{tvdk<DnH_3>Bv(_KT
zk@MF;>Id^ZxMTfIFgbs<_TOR1fVce(5G3b&h`!Q)nQ$s^%K1e2#1^U_&)}bvs|}?7
znO>>W3)sz&V@DdyZ()cZvv}Uu^;HR}Pkc%9wgy&S9H1uWdlOqiT_@}}=#ljZ_D-~y
z?1Asz3i(Oe2ki)<XG5^HW|I!7Usqb>_y}vtkH?etVe_W)`;+i7wq2h|`_R*SlVS$m
zVz6J4v=5ulnq6CfPndY$Ci{Etl)#rIc=B!V0BIl8KQ4Owg0C%?ijej}Ys1_3zu}ta
ztryAnSD_teL2(Grr~Uc;_7zOM$xNIE{^`u;LB9WDuH89X;E+Py^0zQ;(Pp-7aEz@r
zT^HQ)xG#nSw(h)a-3}YNRIhWv0+n}iNPEE}9CMi;-eZ}&MvkwJEkU0J;Kw&h^+<b>
zlV#zy7yhW(^^mkT(Iq<F5->yA@GLoAy#%;T_rn1Xmz750C>z$-im<iWpHR|XxF>&B
zQiK0lG7ORS=H2h<CmL|5`F1hVUOZ%Zy$8QCs;n>Xx<uL=)p$H=4M$W6G?VsXWAHtu
zBXAU*IM)(Pu{meT3clqh`--#=t@YPkoZ#&Zvh<{VkgbX7I1YC&%G;3hed_3GBTqQw
zgmf-xAL1Jy3i`lTGNtudVNHpP=@;M^yuu0Oe2;$|$LtT!$P3PK!n~t?5!YbV9yVom
zxcyN1i4b_(JkyXceApyuA{-vN^Gj3^b~0P4h=$F+&A*d}8?e0ZLpV6TlT#M<>{nuW
z1cw_}m21Mq;Q~=lVE)x)I(3+?``*c1xajY#95YznCV094&dzdLGlnVsbi~Wy9aRdm
z?yyv=N=`MLW=N-W0zNAk!d3@gHCwxV8aB5Gh;4?qQZ^2F!hV4qULEl7pJ^8ZV4<rl
zbA51E-pRKYVW+d~k|S_vj#ybVOs~oDYzls_Hb-+8Zn{Qgv`r1q?|oQ!BJdW^)3mp>
z)4`&#nwG-wzliPTqHw#ohifcc)%3DwH+-SzE$e+))h3*i<Xd)|Qsu+_-n$b?zU@qY
zQ33oukZN26K9wn#(G2hLjyz8C=A_soZ7@%-0Gl|>GdUl-0AEZ=y}t*3_t-#d8SXo}
zUMvZ>EuQV+dWZ4z`bh<{z54i`8$030#sbL);DsC~3MbfT;M^`bSo%>@;c@t>2K`eF
zI4S*6bQ~<0dw4IYH+xL05f3LNKJg{_VKX1;7jVOH-#2CW+|PmWLU`HyOxqzi@7LL&
zI@rtWp|K)-L~uyD5zdK_7g2@puK9NL!R}WrbL8RYd4oZN@PC~GJ4n5>ac0*zeBhy4
zycGP}jsE&1tor)n8B!n5k+J&+EMmXBybq2lrSAR-%Zf+0$iO#LQqR&h!x>42WPg2i
z-o(!UKWXtQC-q&n?Ps^ck=%aDLhz&Mz5F|1?fLDjq+VCAsYVDE+0Js0?B75e0bfzr
zqvF#hQm<9FTq6w&zxr@}7u>I8=qm?5k9fMs2QLb9)vCaUTvE<(!XuQvzL=c-5W{ir
zkKE+%|5K~gfxWiaJFvoc%I^8<!~ZFYx9otm3tVf>VLi=pqm3|yuUU@`d@CXQ6$Q*K
zvuBSBtQ+9=`WueVlPNE5oP>G#pO`Ge8p*@5PO!9<li4RYe$XoJ1Z*LkH8~2`tOaS=
z!(!KiPYl3j_T}Fl;m}K+zuv>|s>d>p!PEI+zZ>BK7LCoMKD=`zq8<);;8uJD4z{e=
z9tAU&sNQskw<Zc@MZnj}t@o4d8Sjq~{SQ{Vb?Gq4ogdRyo`W^RV^$sDm1>Ve4)8Yn
zNNSSbKQiBK3zxY(E+P5HRrRCVaF~LBqZ`as*#4QcpQDFDFOWQ7fa?@#pHp`nxJhz{
zio$hK_zj=Vev%Jt+P{$-KFYCvkL)i&roLFxAMDYlIcy6Dz1qHm0^WV}(ovEJeSMR&
z0q(hRbu-DS`Bubd(I2JUZ(}8S-KFfRY4}i6dp-F+ba=UI`e6YTO#!mMy-X55cf-Lt
zhk{MuG-peX7C1a}S(bdC*A*tC8etKN*;sY>!LE#Lq<?<xa!*qW{!i!Zlh^QBn!Dc)
z!2DD)LdCFC`2O^R@UyM~BhtTTR|!%|z?v?}?b)!TPE(;2EZb+knhtk17qIZbuT;4I
zOM-tLF{<T<DdhgrC%|vQ)qJ^N$ukXi$oRuRxqtUgSZ^ryWdz)HuRMqm_M3N-y9v`B
z)|Y06RUC}plJQH6htfDT%&pC%cNz9pZHS_STgJA0^oM_C6sm24Uk$2^*~0%g%ht*H
zr=O&Hj*Oq=T~eP@!UtRLt_i^R^<plO^Ka9ZODBY3_NjvAUGPfFlp6<}wCo`&0Glbc
zc5}f$W$yUzg_8#ZEXa6mt?HAABusI}xr&VEZr`NxSAgXdimIt$s^_`=<b2%q>)u{6
z9z4y}F02i^at-Yx<3;OO_nYMWtJ+-lkc=lEJqhn4-`Ca~UlYi9bJ~Yf-U@De&_qqf
zqtqg5A>{jhkj_Zg4GZ{4Yn+1jg&$1rfUn6>uN;SM*1b{+;BLjz=cnPmEze~0Ve7G*
z4&;0+lF}%C0H0(SKSlBz9uazEeBEB0$4&BwFYfE#f;p#p{5@d~mbsB&_;+EFDA_(!
z{=%3W9QUSt$_sv?XnLNE@5jBb+;fG${ApM<f<;qKJ|_9<GnqREaEQ5xImre8B{P!W
zBc8zv4kXX(XG<f$S7wxRw~$=y<pq8o*w)*Co8*cmYbBg8od{(MIUn41nJSXsTYv4Y
z_LI*~r9aZT5&p_4dyC|U4~ZF*-*+aaVX-8?7F+je29DjTtVwd!9h+UdU`t&u6Owbq
z=KN}h|1ofEAo<JmG5<1ntF|Bm$q(s8Z7G4J7~5Wv&%bxrhB*t4)7rs7+P|<|mW&KI
zU9zHyv_G3H4hTlVg(;yuq<z_`zg~U^wultFLGqv=o&)FM$PK-bBzH-h>+ps9md_j{
zxge!w*AZCS-RGAF+-)G^W)2Uj&}2Kq>0kS1$n}kp$KqRkU=_#u%VKchfyye<9{KHH
zy1IbtE!tj=GM8cR0#;UXeJ0+0X50@RUDdzW2nSR$=>@@B6)s}+u<hl$zb?XtG=5JX
z!Fp}xjyGY0A4zIS@R&*amO%JeK#GPeTpza-lMZ`^8a$JS8+(H%p2F<cyq=NkbzE|$
zhYH~JVpa}O*qU?tZaK{Teb<BC@D1Z8)z`4Nc_Rh6-Zx%mA6XAiS+rBI!D15ZbMN36
zgJ(~(!>y|M%H6O|vd>p$c;?Ej&%N+I0~RZCeenqkpVCLTZi;?@9`-KzF+B>`R^(|g
z!3Ld?3ZG%4eW|sZ;fj9esX6$#xcWYF{j%c1ANg<asGsDsjd169%ft_uDxrg&5?<Qu
zCbtfIm6yf;!S&F*UfE9@TW~%Hu6dDq$?%gmw!tFjhQ9nl{$fN<nic-V5^#*vv-@@g
z@xbw;mi^yg1(Ao6ys%g1s`@HittNL(7#`Pat66|A+Wgrk2A3&%?OlfV{kk701OF>j
z&6|a<oVVR84<Der97O8n`C{9&;b+#`n`U6m-If8mFss?kzIoU@HG;<)PW?~EauVhg
zG-<YlCAZ!YC)>My@#ZNnxQ0>dDY<@37j&4@2R2WYn*R)&9pPZO4GZ{=c#=GS<3L#$
zTpKNUja*NbogOqOg7+%4ZXnm2-(E;uD}m$Eq^rs2Pu8Ao-_(ldzjhQH`VN~PD7Z`o
zANo-=_YZdbZ&Q^ZtaDJvlk5*I>1Hnx_&#6$A@cV>zb-K;!K(*3s>uGkCtg-@0B)^K
zk0bkg_VtLJA$+EUik0jy^}q~z6S$zLIgr$st}ECcgM$Nw*2(?|-Sdam2G0Ff*s}z)
z$MNTS!kIDD7G!@sQkgt<8V;pvt0eWsdoO06hew;;Uk}3*w^k?v;P{hb!lQ7=&f7<B
zz;j_|Gy7rTPBn^~u%D^yHgbJ_`+T2yB<#ph%-jOI*c^Hu3#U{0T_V@_2f6y!6Jhz>
zXKM}cwf>uVk6^Vop000U&7HjeGT}j`)QM`?NVPRL2hKciXIuxn(w_KJ03T`!Z>xa2
z?l9*R!Odd2isb%++;H~VYuMi0ue1cFs58x~g3~_k<1dGcAI$x1g2g{rq!qwppYA?s
zh6N&-7>nQ;Rk77>Sf0^{{t3)9e9CM9&YPk*p9N<O(>xx7CER$vllvp_QW+)_u!(z@
z!(;ebiCXGBtT_MEE*9Q%^30zlxPm38iQI2VjNM|m2JhTaaySy!UQS#41FM{HD~N)(
zK33DGY9rTM{PM~D96EQ0Cv>oqD<4-d>|DA2V;fwk!^?3V{@2cI#tvIdG+qA>o@y>g
z<AuF;)NDEfpC6Dn;fG@fPkNF2NhQ_;DPpkiC%bu1IHcLyXdlegMrnB(=I#2MED!(Z
zJZeGiS4q5H{iO`=_r3nc3AQ?!sHX|%|MO6_hVOma{!<&CkY~)cg*jQvb&O%=_yr+y
zKkVkR#1B)rX!UNiC43^gSKAtn+IM=Z3A}Mu=bJ73sE8@R3|13d&~%0O)J(1E!PM^@
zmfhe)pAc6=I6Z8$h7Vk4W;LM&M@RcDo`sWze;Vl!4{)hnf?Y@JTMv<XjhkOD!;glK
zD`>!*m?aK|!0R63CCaek@csE)aBSpTK2`YFzC$We@Qvj=De|z1!;{$<_^hf3y&~)<
zZ>*dMFP@*iEd@`#EtpA$Ekk%6NIm}yW$1IbA^QFBK6v8aiTwp|g8H^X8Q5gGw7&-a
zyt_(D9Co_H5mFDw$=fHAdiKhi_pR{J`OREHu;MG;8y&ECn8u<Q{5--}U<`h~ed6>U
zQop66>l3_S&aWu~x0USn`v&vBcvVC0cly7&%(n_R-~D@E5Wb+;QA6F1_OUvgZ5Mo^
zO2mf_mVI;KD9J^S>~ZFY`>Ox+?1W<jFK-cq4P|w5_~A!q+w$e%lXUgM+^{~cpuHk&
z%ER)H7k)W&eq9&tY`7V~LFzeLpBlhF=_RJQ;K`zMe=Xq0p~<e>;db4(IhOF>ADSI(
zaD?aC-wv=)je}|(?)T2x?ee+|hpA6zHNbL*dtL{_lwkpP?cjWe*Rr{A>W&X<4)6t^
zYr%zZk;|<WHMn|4O|cRV-ulsw+^@G9p$%<->s0xy<zT6~-cQXi1+#D6e%RsWBiSBU
zD4|l74^Ev|Q2qd4kD$%why9JH?o7bcC%J^UVYaFd3e)hHAlIm!@Ttt~+Y2Nw3kcr=
zJ4YLT`UVTF)~s%Yb$0EP{R<bHHJzh_Q{(4H*I|ni#!&`%bM7lCnhx~W3-llU;&}<@
z4C63Hc+Y=^+8dBt+wp#2h0SPG)R&NVre?}<!Td%3Pgh{;^@}0=aF)s`(RtWGKv6~z
z9%Igq{R+F$Fx=P&SEmKu9f5z^TpN~w7ao+ZjlnS!NA?|n)gLGQN1g}a+{Q4Z3O85v
zj(>pVdB?;K!(+)sj=ivQer&%k{APUqT^~HC;UQuM$Hg`3kmpV8<+<Klz;)|?3%cN|
z#!G^Bu<6Zi$!7Rk`lD_KxP1q0LMtq&aej|G%;-13PM&8;UgPWZfO|xlt~bH&cK+h?
zg{y1^HdMo<3TbWU;4D>*-g-D}$;2lFeyX<Fyb@jy|H*wDZuU}sT?J?F?(m9&J+*!*
zmBHbB=Qv~GAKP5Ekor@v_Ee<9aTOfl#c<DoCihJEpPlh)DNL=NQuZ7c`LOQy0v-}j
zJ5d0u#d_+J`tFn^>RQ-vf~D~pyo);OWj%aFDJY>37C5GM^gV2CyPM-FJa=eh(*T@d
z67wY=rgD!={|q106!Rp{2WfYUna;y|hljFBt~FhtLDh-ppB}jjk(}+j(IPb*n!<mA
z<dtjP<Gk>MRK}+)m^aruk{=dJ7c9+#Lua|AWZ_NJDRNI>C!UgFd6?Voq#wyC-z#<)
z!@&`KOBt|tZg+qg%pB?5kOLoZ4%~ShZjEZvcnouv?`U>~a}AiDk@}(5FI=bLJN({a
z$uRw`>rFmzFy+g*6xfH)n&ToI@_Y-+19)ELOZ_D{Vd}wj5*#r0(CrS~<ow0u9_)Bk
ze0wDPsZ_c>9*zv9aJ>)n(q1!&f-A$Kw?2e*gX@c9;BYPv=QKDXn@RQ#OcD5lDFd$3
zH%pFyFT}Pv<iX}F{qcb?mGj5a0{CYC4vHXHji;3M72JBs;;KJ<^rmw0Yj}fO%xnOx
z*u+ZR00)R~nDl}d(^wpv;rmL;#y;?a+Y9;K@amBVx=!%S(^1+1_-jZ<;c?hnvC?`B
z7XG>GnFTD7kybbbPwAVpTf$C#*C-d@&$WJW#&F=>h5RKrSS54a6t>rC-?#=FJ{|t0
z4lh)tTCc<LIt(sa@V%YabE&(~e;ni+Q-P^IPFvE!XEqvRP=bHI`fb)W_@UP+Eh+e-
zcIZZSSl{g4a~U|g-OG#@e%hEUE)E}vd;4!U%-7X;Zy!vZo@Xou|EJt?cNct9&NfRD
zc5`1^<Ab-&s{K-c4TPq@ZG&@bKbfk+ndfO7Sm8}Oo71#mrm%%$o8bos9e?Y?wSO3D
zY2cEBx&{{TZu>UHWjwDpe~8)C7Owj`@%S4&vH4G`3%pp?#QOyf-=JXR1`GLo3|)Zb
z4E8+ohJQ1?rk;TZGVS!w!u7MAXJ%p9i+YLvaK)1#&mq`c{^hqoI6Xb4cNq4~OVhdq
zS5>>3y@%(Rx|c%Xy_4rE`r&H&8ub`>q*q<B6BcY=_!<W{?=*Yd4Hub?9889{eB$73
zfvGRh&8NWUO@%|-V57jb1KF_l=h@ATaM))4&$+O`<)1!p;oGq+N-yC7(K8<9@Y5`t
z=rTBM)W4?!_WfY^sTy|uG|@_)pWLKyTe%S~k{vsq3-i>)&Q`+h4|VLw^OwC-mFjh{
z6u05Z12{asap@I&I&OncG<<KqH;L36Y0z!H3xEIg!JrssH}XH{0n^n^W!1tm5l$ng
z;4;t2U(K+D*VBGGn9;M-v=er;I``BWPV(wp8G{eq*eXJvC!O6=_h<s9igq&ag?Gv3
zzTMxA_UrU;lP7F*EaRLKeA>Bj@B-|%bd$~nE{M0b4<vste#_noe)i>r^bMF}`P_!H
zaM-4QMPaa@gpY+c>~)%sHv&FL=bCW=rngUf90!lPTmSMSe_z^o;UT=8`A|YIJP>mH
zcPhN!M`9reJ|t!0Pz|4Zr$oO1-=x|4i9BC=@7)fEc{smM^+ykEupGa_+JpAv0fYYs
zSSse!VHWsJ&P3@axL}A?NgSRsDmyR-C)kaLi@<K9d6&rX{H{OfsyfW#c6<F7{8(A1
z=OCP^tJ3oiZq}tZZvqcL<Np8o(U@2B))02B*SOD!^W(RzdBq8sn^BaDoKKyp^vo_W
zQ}1xyPB>N5!#o&1Owpzz2yfKm%nX9>`{pl8zz-WdW*@`0w{p(!haK*0Q%!}>2zP!b
z?MJ!y^6qZ<v)Ir@Ls+sX@_Yvz`DXpNJ?x{w{gkd3{YNqPj4MnvlebO{2e}nTd&6?$
zjp`zBk>)Vl1-M1q^qwF*Z?Jgu3S5lGbq>N+3_FK{;UrU@4+r4B2ZmhXu&S<o+Ywm*
zK+vOD*!lDTpE>L#?o>qjj}6whivr+*vNT1~zn$Cpo5ml$VaV?P9A+F6{2dLay>|RZ
z`r`+IQAT&+$9>DHm2j-r%R||)r>J^uJuJGsBlZbAZdX6h33Ii^33b4234HbgaMt32
ze=B@+!>r#VJj80nv<hDmG5<xzR|opDoxYKJ%X3p?yv9mnd~e@-yx+pS>huE+7TK&J
z1vd%pV<O|Xh{g0^Gq^oH^)`7vHmTQE`UuP~Q0GAYp6)|Vw=2BUTVm)td{4vasyqBF
z(&7bqezuVBIp0M%>`93@8SfR*yR=<`kGhR)BHO!N{lfbWyjfrA$|AgRpDTAH>~g~B
z^D_KPjlt_aY|54HLZ06>VSdf=5WZ|%(*6a$p5x+?2B(fw>rcU@gWGmwz{7+4_(;9{
zHRsYIIB)NT#82>$%of*DxO^g%n$(LODk-Xh^J&_GKEfFmPR_OP)ydH>qwxM|+QMe|
z!Qjr5WdDZPy>MuQ>FBf$lKPHsn>LQXS<U|C@8O$Yvhv1Yt(_49q+WB`^xtQACBHI-
zd|&SjzUR!t`XZh5J#b@R^6zgjMfjhP7ML^kVAd+^v%+Ub>UFtebZPo<e)DVfzlHx=
zOaGvQA8tLSLF%QBeb8os^R}I@B+pmp{`_x+74{IkCDI5B1n_I_gwOv>Nq+-7U3tC8
z3xAL**iu9CTkdKiaBok2XgSO~zy3uG{wVYQdj%{OkgF;S8!au)<-v72o%a>t{b&9j
zCF8djfmdeK;3r{}UF7&aJi`#D2@6UwtK`C0Gs-6oU|;TSrDXi|&RaX$7!H}{=6?bk
z6@DAHgmWKrBqziABbOtsVZ&H{+Ekb`TYS_Rp197u9tDR}$t$|U3UO>6<a|>*KXuy&
zPH);gc?W*}<b=F0?7vQL5(&RZ+Hvy|{FGw#-A%YjB2MNCyzcN@E)-_Z)4mY`f0G@{
zC*!G}lxoS_aCPwn7dhY0rTbosg3s92-@6R={+inx3l~r{ZM+IMTu;7|2($Y?4)_nQ
zQ`#=}2>zgwZAR+psxP)Yht~rGTF=1>YhV5=fCCc)6-a&5kCeCNu-<dSLNXpZ7PamC
zYglT@c&9H+wY{OC9!~0Ef8YtbFw6Ni!E?%-l&4`gj?c9n@Y2HYl@qY_g(E)QaDmL2
z1*z}({d(&JtW}uUPR4WdL&B9)a8YEk5~+8!9A;X8dqymZ>|vS*TCbMi<gp{XWIQ<h
zaE*QqR^LROU<Gecbu9e@JBUzkwuMz1SZS&HG5#O3{cQlJGWR>t!FPqNP8h>A2O|r%
z!3}Tzjvj^=rsnKfVF&SF`g-um#K+HhV7*Q`HD$Qqt2qrn{MT;pQx%wBpV3MTUNN#s
zCF8k$<M}Tn;r!o53{r5!q~|6@n62f;4>Eqcof2B80V~NSg)zgkoXyV4aQ%SlA{kHV
z#r3_>fpsi**pTs9((6QKQ}{)AZ0{soZPrv_PX1o<)FCn+JF_u@(H8zIKT$pke_bsu
zvxjf}D;FUB=eqc1IycxoD4CP=w*fp2&Zpp*lV^g-c+B@#c%dJhIrU+kjHf(S@*FO}
z$|Bc$$@puHM|I;ZSmw->F&Tf=Kd{XUg&(w(m6Q78Gkg9;!v$Tw&)>jDJ{>z6562p6
zaMr+s{kt<$;5_<=v1I(UW~pHQ7(ScpzD~wpv)!B0bKy6N<rj-!lb5U}&*0<#ZcdQ*
zRnm$_Q;OjYQ9B2+;9UQ|KVQLr{bn?B;V=B}bn9Rha~}mVJ{uGpOnnPqKPvy2ydSeU
zAZxi3Zt9)cdJBHpmic1<E?UkE2!)NO{yRJl{|fbVCF8LoI-S*dxZxFV$7xuSjz{M^
zToqqbY635nzg%61qpvU+8NuO-Lr+%W7E_5PZTQ2JVzV{a=tQryE?lY;^?1_&#@A!P
z6pZkTmaiMx;djfdr?<dd{hemK@S205GkJgN-MUte09<OFxcV3GSA`WiTJgYly7OG8
zVXCv<wj`gWmH18G-?}9lLQnEhcKMTSaB+(_6Uk>nYyLIE%%MTAx#7DWi5B<a{olM!
zOTaqqYn2aRPmben_QShf-WP<z8ph6SD)6RhNuF?0&t>JN1#51oq4b6q7$sOuV3oLS
z-e+L*YLOGiU}aGbJx%!KpQ|43aA?`!h#Ks9Gmyg(elNcF85LX^SL=I@<fqKpX<&WE
zwz|vkI~j_pX1vcQBqz2r27cnnV$ufpZ&&qBfI0g0^Rr+}j`W5s_!y@#XD)nXL&c64
zu!X6*e=s~V|Mqkx9G|2xaTDemntIa!8;pOJH;1X~T}}<a=3=cWN8qxxTd&99rt^C$
zC-6Qcg+Kcn+Ce<Oa`&{wIDFjslh;OgP%!NBRaoMH#Ew1iV%0yEEAWol*?KOxv#%kL
zyuWIC??632T=QIu%@w|`_sy5&FI*{t$osHs?|FSme)Cc|y8#>-)x$^f{W8?_DzL%A
z&GWplz|{w-<b7M?4g~>r`0kPp;~tpSPH+#&&jd_8=7aBOc6aT7XWo6?_y_O*3Pv&s
z3cyjRN%6m6Yn7rNZg@@mU+63>Jj5ol8*Z{F;+uiLJumO$fTzU{hIhgliF@Dk!L1iI
z?rDdG{%gHK^3w0~YpHOq$>D1vaB*yH)FarsdqjfN`$*m%^MEHVyy}&K1ss#~ykOBD
zQK19y@aInt6yW@*qb)}80Q2M~W%z(hD~}~y!2YVA5&rlpjNJ{st@2cj8LkMT@$iNn
z7mo>$_t$lw%`yAK3Veqm$ouO()~B3<;EUs9KZjw*(z6bsu!mrc(<s~``XfIY{{1y2
zIvl>_V6^rej-Ye?P2TrUh#S@~g;VN3%wL7iJHAhT4X>B--M9kJ&T1MK!QT)093%4;
zPzSeZ)x##CZx_gX28^Y0-zs2+x&U`F-@&C<F-dRWJ-)o1y72C-y$g+S%bC%WqnNKD
zFuPCk3q0`ArfVE7Ex8)>9X=ztdGBl3f{(vr(-5vt#QDX&fi-12`RL(GE3^Ny;F5J3
z9u|1Q*UXK~XR)`x>@*kb#(b+f7(Q{b^OZ2H6Fn|+3qG%XlTix3%;HB+=I1!YYV$%F
z_DrtxJq2It+fJbgU;5Me;Rvjg+x}M{mXGJsItDjM-!Zm;sZA^8bYYh$!&EESn~E}7
zAFi#WUvYvT)5k{~fWKK)X}ZB#{R2N#Va2^y?|H*j_jtVb!|uP196Sp<-mvdegz3!L
zqWs~I^8<}!zLP66rQ?BcW&oSyUYKUaU-lOKEZ;Co06zTU@Ng(>*LRy)7~Z#^P9g?=
zGWhBiFUcKx`r_arzSYIu@LkXQBFV7*H~y1caNx3iR|?E&Yv0KO?+xC)CmWtTpIglY
zuSI5^dj_xm7!%nFhc$UM7Q>1MH>J_SZU*8$WpMS#emXM$iyi%Pbv3+i)hvh-rudrY
zQ3nf`-kjYGJIMG|w7}`MF9ugJ-^``&<BVN!r`)*u8vJTB$6*j2s97vuhWAz3(G0_<
zD|q?8!-G<S){}4qyJ*4}n9k?@rWrU$+KOTkW_N#Nu?TB8I;@Ps5@SCyzQc#3Lv236
zVu97Gf8o*NH@nGvI-ASgQ#O1+dtLlO`6KN0QD&J2?rlpJYlo{%E^08rdlc(q$oxE8
zxU}Qg;Pc6kuh+nP-d>sFf^&Hr=IY>MiiQe%h`Zv3iePsBi?>DK!c#9bN?|!g-61L1
z(({}QnQ!Qhy}S5+n4jlvLM|N5sdVKaeB50<ED`p)WYDe&f0D9VNrtV4ckvm*?AydW
z@575>>2HnUvfpam4`6-2|G199T{&Cyqv4C!)@rTcsF!;RV`0t3HrC^Ci1ZiHaG288
zsL~a-x7`>M39Fm(GoOY<vg_z>!BJc(r9LpnO5fQ~lHWf^cM*QcbZ?f-*R-o@q2Ll+
z_+OS;FsxQnPk968Jnr=FGMuHWk{1FCe>p3C6;|zHS&x9tp9toV`Jnce-pY)Eh4}US
zNxiy?ynY(I<5%)YGN05gO^(D&Smsk+rw`2Sxb)>YY%vg{K<29o;oCc10?W}xbXdaT
znWk|hZ_7QoUk$cWbB`do!%pvZRk)!2)&Y`hHgezD1e?WIU#WwiF|DtV`M>n2aynYz
zznx5<zGJ?y>ACHEU9h3#7rmcw`M-Z>2VuLG(=}wivEBs<u3^|(&p>nq-g%qTYZ7KC
zYD%4hL;H1DXW$~U4BD@--cK2~MVRUi_cbz~8TAu~Ei15@?$4PS_<(`F({K2IsfQz3
zPg3oeAMHO_Y@b%sC-~b9N1M&VXb&h04wCuOv=>4sXknR+cQQZ1-f6x^w!+F!R(6v4
z)i!zF|H}e9*0h8Sz&YtRjJe@uIf;Lr@U`ZQ)tzw88R`=~aC%sbt`J;N=rY^_zhW*}
z5`l-JS@TFe8&yP{672QRW6wLdgF0751#VN(xI^mc4m^m|f;(AaDC*(AiG}-h;EMMi
zo{eycW!h~MSoBiS_#5~mTe*}u9PjR0PzRsi5Z`+ocIe6!A?sNxsyw@V0v`Dj7)9z?
zPbIaVhBwK*rYVK#s9#(-1Fv6+^&#`sovKKAdlCLGxMiBmXBS@d;!FVi<!hR85qx1O
zwe|*FTHD)@2iNQ5d)|ao4RZI9`S2v^Q(s5I#S8rzWWK!Ys;92e@YeV|##}g=Ho4>>
z>`D9n#$#B8C(|JbmhQ}+&wyXe$G^ycTbWyrlll0r*gvw$f~%>|$&mV-GuQu?!p;nL
za}wYmj<+&i!FQBhwvqbGbpO>_*q+J%_C1(+Ip9$PJY#FPMAq9htMFcGgD3vlxktf0
zZr%?%;kTZW9WiiPsq@?bJUgg-_zrxa#v$edEacAkoUFh3@PYZ{1ni!{B6t(l-Dng(
z4gWHo2)_->IH->-z@~PSltJ+79;KVhu#8C2sT;5_t;E0@>{FOyP1Z-Qk7O0u@DbOW
z<IdMyfTcMZF44gJ+dUP1;EKVu-Sn_Bt9<HN;<+V17I?R_0J|rwPxq0V4ZaYx5J=`z
z982vzy%T;KS?y&HXAPuR^25FLH+vmnnH|Z@;_zD@{aUjArpzrzM=AK_Nk%aX_@$>!
zfg*ggeJ0fa4&YO;J^-Ik%AqCmK}LtkJk^B1{b#Xy5YAZo^jjCs`?b}9thf1m<Cvit
z9N9J6s|0_0@$$O`?07awg{-&vK&Rla9W27(_L8iZ*>d#yf&<Llznhz^w@K@FP0bxH
zHkgi<ghfV;KYPH>Mbp-#;eXeSlzriSUQTDk;LS#ypU%ND9$W)^;q(7-$X$UkOKZbU
zxNmdTjqC7BKaG84eN45!toLECg6NNQGT&xQg6EY8INv6hfg4U(KGks#eyT{h#sCMN
z`@Aa=4!BzM|M@#Fot;0E4u8$E=_l(|QcFGI$b_FWF&rZ6TRwi7?fD$`>C)dz<_jGZ
z+y3e$e8%u+>|glw5e~-Ju)B>&&{tTB>Vj<zd~dGv^CDc;bNSgj_=lK_<7fDZi15)?
zc*78V(;WOhP$H`rHVu0!)(i8Rb3Gb{Gqnt3`r!1_0!x!Hy|md?vR++uqwS$N*k<Fx
zG?`D8;kJA93ao3Ttw82)ZE2M6-!OvDv+MmMGJmUV_+e36xKbzY!&%s6-=j({_}sFH
z<~dkNzJz%X%)%OU^$=YD$Ua>jR!W_lR)<GFU;d#AKTmo5hs@8d^IJ{O7B0VT6ZZwq
zv|{TqhYiQ>(oey@Ob0I=h1tIKo+a}M>$H2e+QZ_19C|xpud1$^6Yx*!J*V5@&1q>q
zB(JD_+(G7lR(73mC3y&&@5y4g#w4GG<W{$9k7UACyp2xB;m_;|U&;D1C*<yKv4O>S
zYh9Ayz@gY;JNUr(qrVT~OA59wN8qc?O};Vk{l7N!$KWkhISf(obQ)ioF>IR6=j{(y
z(o#ROgr_E$X#RsG%9?CQu66yAhZDTEbjyU~(^P&G4)DEP?SDpai`9Eq9az73Y?*xi
z>->ZNv|thcgcOo*VRJU*g&&?v8z=wYaCYODyWwqyUu9ijj|N9kF1X}a!4UcU52g&F
zc;MFJe|x>*!$rq0llk?18ZKY*g9~Q#CzxT;cg?K<Z~(2THCgY1uPwwc5YFx96DIXG
zdi)%B;d3QBlgWA){_j4#iH7BksHsT(Z*{S439#4tKYy~`g*5MYX%hUdaB7SKHrype
z{{%iMJz)6<>k~Y*ntYK3TT@n5lJzf+jmT2IfNf0jWXbv$Mdzn-3gM3jV-m>v7Td1N
z|9u6kSY6sm)=LPyF!{I=zL;=$gsgADNEM>f4kug?I<f%Ao|9SVgn4I1Z<GA11pm}5
zY!y(nPS(FjQtr6(1=f?lC`<BFtFNzb9>w;8)N@F#p6nq?3-^dqYLoR8q~ARD6@>)_
z-@ICcb$LxW_ri<9_bu08s{O&ojbN#EjaKsib2gKqGlg$j%4{Nez||caJz&kEo(m+W
z-Cv)13QoD%_LO|S!4sLu!Ekw^%Wjh2FSXFR1#?NeE|UMBOXKY4cvy>e#g%+M`M7&`
z6X2-el@_u-#O}Va@yBqyNPs$7A7W->*zG5<W$mSGvfjnrckhRu!BVp8J11dnv&%s*
z;GuW_=0C%^$5@4G;IzLNoyTEs+w#^r`1abxw-fNbhnsm@;q7Y+s>AT`T2@0le0=*t
z#t3Zv<~w^o{B+cTs~=tth<h^#+p*gR4Z>1Q<6A$$E-&7$cENe$fu)o1+0Bjiy>RZ!
zR=TgS*r~letuVc~`-??5_M?b$2i$U_nBo`whdC_231+Y|%J~hyN(tG~3`Zy={h=7c
z_~6m_omx2er1ay>@CSq8m3nxo{n~dXIEr2NWF`FBZhPWZcwu~RM-{xR=kk>UR-J1r
ze*tUTUsc`(cQ@AYy@dBKb%qPUS?rb!8Sq2Ju|aXzg<97)6Lvo<yH^f=nbKkx4>vBz
z`zygWQp@We!v1YxE$Z;Ik`sGwz>dW~-sr)WZw$jiU`A`BZRW6y?(nQP%>C{ml?@zY
z`P%d>Tq*tC@;J<CWhQ6=FB@K6@`B$w3x^+tV;+9gI1e8lPkS#3FJ8NR{W@GU<f$S9
zCw7kZhQWcdsUeK8hounf1K5Jc?#mXKDkst{6+ZK^b~sNQ<2#f6eYJ3YsKkX_c+I2g
z#w)n_&RB0Od^N7_JjolcAM=ieC(3pAko?EN4Q-d;*cZZVBrmxZ<aQDMJ(gWt4j=!y
ztHBv=Og~;!1Ao7f=imtIj*dE$yn>HiMjejk&|9m6n<-zm9E2^^YBDR}GJoe{NjQVq
zex(|wPugs<55Dc(ol*ur2rW?D1?PUYo3Dh0=k2?>;S$%52gPu8fvgTId~GV?AgLce
zJT<lrj>}!2&xduED~{5`vwCIGh48m>-$fdj(MtGGF1$}y-*qGWg>85;4|dj~UjHYC
z{`Rz9Oa|;%GUB@m-_cuB$bt)1T{4$p`jw8D`><IGrf7g=+Wi$D!WLq*#WQda@5EFT
z+~+eTItCx&x_u`W4rje#{{j9}VmVE|&rChn?jHDh!H+v3aB;>~>JHfcMb-2<`1HFU
zmzv;`T&wW^V1<L-tPSwNtO_L`c=B*rXeGSA+GO-B%(VD$PX#=)xggvFF8y%r!Am$u
zRZWH*Uk6IvWeQ;X)|62fc<Po(Rt}uNFBakk*W5p#o&{(Az9r)T`xyw7q`<d*m<F8S
z#}RC%$#7GYM~D^dB($O79&9WyCuR$eB>r%Sh2KVM4Upr1>hxRPU^rAtanJwj`I|lk
z!Pgt^cA6kRcRIe+7q;j1<vt3}IX!Ya1AiK6d}|0(wwg3p!yn%NE;|BC(;s&{1|Lo{
za3lFqy%`xLSeEbEA4`~Kgr;pj{B_`0wlOSV{z#k;*5K=ZK=N$q=7yax{nW0*B(D~_
zn!g49LH8)i0yffqsmBOkS^K1F0Eb3JyrF`P-*HbEk^EDm6$N~d!ZAu4{=V&T+iy|a
zA6tr%*M+~_A9Mc&bNcmuIs{WaeLcJcTVA8QtpSU>Z2WHl<~G!nSB6V%Kh96XTQ8m-
zQh^zCgl<m4>Jd+Gk@jc10M(yic%{E{uL2yQVSaB2PTbElBmr|!Nz?bhG^zWpO2b7*
zgEKl|VcnB^Md7+XE}ZXR)6N@Rq<y<~?e)t>_)E>}z&$VzL$XK}{QhLm9?~8z*Z!`3
z4KJqCckP7vWQG-r;Uo{93w$u+&O_aWu>6AA9uBzY%x;~ha8|d&TQ0aGGITr}Zb*$e
z&jKGGFlu=S-<W(<#SUxBzc~>PXMXJPVupFdQ-|)tt12DaNIgvj+xZAM<LdewI(S-l
z&>;{OEMKH0^(E}b)&k&3A)XRyxRj4$!V8Y$_`87-J}L3&iYM$-Aoz?DE-bWjw}s7Z
zzpv85S{vp!S;I!W+!-5Tx%wa{4ftqeK@7=bZMpv(f*Blp50SiPGRs;N=1<U;Ao*&e
z;ddc8{Xf?a8{h`k4)d*WW#Ef<H1MGM)vru2r$@^LlD|0e)8MBFuBWN2xRN}J@?gOl
zO!I80lzg7`^A5ou;JXXA^~wHg<4&CY2urG;Pv(b1ih6XKV4hBkJ7O@cJ>9c+@V04<
z5g9l?#_#?sIM?B<up<0f@5!Ina0KV^OKLEm`BUpmSoiyuljQj9V(5F54g332RG7kz
zcXnkzgtxwBrXuIZrX$)+NwDNR)iHAZC$w;!3W4diUDG1%1KWMY&Rek0&;R1R;R8;N
z<rm>_QP(j)m|ZDgR{%U#WG{Oep6BJc><UW=X7L5X&A+9_-QYUEbiZ(ziFtqXF?c!1
z`*k!d@awRo4SeRj7jpu<-MBbh6AqCK{+k9bDpoCP!-uAWP5$40+gzy=hQB;}H&%rF
zpz;+FF<AU?yDaH1WOn3*Y=@0YlldCpS3fi6*x*W*Cw^`4Pt#JJ4e$+0OQ-j6muybn
zCU_^m)60*r6@3cbyfA*R#H^%D!LAFT-d|zba~r;Wg^Pdk92<dcgG>*6gPmt7Uys4R
zXdEN|z<R<uQiHG-?G2fASV(r?y$|p;wwMs=am+umJL^g-Y(dx6#sGIJhkj~@Pgacc
zvBE<0RhCWg{PVx{JK(%sX%+9_j2R{lUie;Ow`47>yI<(_Zdh@)Fs>d>_@Tfo25Xo}
zFF%9N=A8Z`4acX@TmFxu`;N!zed7R*WEN7{QC1~;Mz*A6M@Dv1Ny*MCWF;dqipWZ6
zSfPvxQIZe|CDd24DP%;y&;9%J{kkqaXWY;IoO7S+I+em>qE`(Mz{L!PYB}&1=af`+
z*w|SxFAtWDdpLd=zOH<cA`YgHD(NwTb8e}gx&dGEXxVECw@jR`_k)$jA8&Vnr4P#q
z2g3EKZ_k{C<ymwWZD92czDu6)lpXB}dw6qV%F#gBSf_MF06za*%OwF`v)z=k3*M^A
z&3+9QzBn4h3a>oKw2gzE-sp0&z>Vgfj1ll=O94tsSU7OR<T^Y!7k6iUH=eJVR{aZw
z4K@d`{DH-D&*p~1Px>Yv%)?$yibg^3aAo7o5%}D|jZ~7~)2J-*9iG@{d(a=g6TT<+
zGu$>$^^<Jxj^=#TKKN1W`y?+|cs5A*Ev$2!;fo(E?M~hB8a`*+73B^G_07n=gm-4U
zh?4xxaRHrmaA}ED-#Pflm($vn@amRVffwNUS4%_X@UL^%_BzA1^qp_=;4=kT7fJq{
zl#5diTq}NZ$4U75?&G~_@Cg0Sm#5(5tMi_>;D`MM=WXCFyW!CruzUBOE%va{OxV>p
z_{q#@ojELD=J6*2-b#1U!3q}e=DryQx1Zn1WCH)rUi9~d13Bo;NWSI0`)r=@qoPJi
zLs*|VIr<#@S6S+wG0b`BsPI|1lyltp2>dQZG0g$aervLD6kerRkh6n_=IC>@;0W2;
zgu`$gn@9|at4xN99fGa(2KJM9!L-^n3HZzYUVai^_`O9)3_cVT*{%s!=u!tX3gi1r
zakTa{oEJko*aR!tJz%~F3%q52d>?KL{*_M7=ki|`)*|@ji{mrod<XGFET_Rfe@@9o
z!8KL^HW_ete{0kYm?BT2GZ{9WdB5)_{AWc#?iPH&QtnDR+|1Hda0BLfBgdZ!y9YOK
zx(O#dz2lt^H#lAlz7BVWq;V9&d=rlU#ljz#C|yh8soS&`5wI)I8q*W_kJ55Y6#SR-
zlw&P?pz@YP2t1i;v+)Hy?RM?vRhW^d+2S>PuS$S65H^{wS#5z`LN~St!*(9AIsNd~
zYpI%k@TZ0l?EzRIEh;|%ZmAu=H3EyD-_GR)-#q>0z)$#d%Erq+FxyY<_*qy>K6dT`
zyl+ZY`ZpYLDbUOv)|k%>Uxl^*TYqyF&OUa1&pN#Q<-iS+|KO8dJJWa6JB*uCpN8d&
zbv?GgTwywANd7+2iY89@tAFih2YA&c;|ve{Tl9gN6CCA0S1SlF&2W`l!%0(9w!7h*
z)pYE3aGfvyTX(qYh-b7pOlPZXCJoEW8=8=OwVzx6YQh`CN}EjKM~4<Nwc$7S?(QY|
zFAq8V(uZHY_<P3?cKoN7Yy_XT>T@FbLEaq74sfruc&{F;n7{D#BuvjjK~3Uenu>ja
zFz4+fz9g<j&lY$E?#~m-JqC9@GWWR!pZ$80jl|;_WI5B}UGKH?&EPTi0q0s+t;n0x
z08ZFbP5%OJYd&8{w(o+Xt@#kFsU6Q_1T(H5SosETj?Z{#314UZtV8`D=HucLJ`<St
z`m=Ew_(A)dqa-d$G5sGOyd$gQxiQ?r^e&PgzB2P`+yeHCSr0h?KXRL~A#r}GFM_J@
z)oJc%5)ZE0#Agm4<=wnSK41RVSiL1&_D*Xri60N)sP%w<J=lAP#5qhBY`tOHXqPu+
z`)S8_S;oP4IJ6It_$Q<F)f=$$s@Ddx|G(Foa<XAV9UUKi_~Vx>?L4^ZzMm@DAIh_5
zCZE9HOSDRL;h7g2@l|l)CY$XfU$Xw*w->PV@UAFrSllBpyaE0)V`@b5DJKq!cEQ&}
zwlr$OjN7={Kf>o^_w6S68P_lKe}zvce7mgzKVmX&8iEt7SJ%{Frp=WcV{muaql^1t
z{_*gd30UJyQ@0Xq;5NZD4>zCi(2;>1^PiS3!k*^W9>~Eb%6K>agQeM|c*S8it+D%*
zBd8Y^(Fv7=WqJ%(>EW$U#^(3H2kY50H^DMP>lXXq5B-<tw!v0%cUlGDVZMV&?C@j1
z5(!~g?d5|}KA0lya1JlA-Gyj=IBf9*%`W(SM9+W-Jd=NAVhgPQ#6&<6R@)qJxD7rU
zT<fzRHp$>>*aY)2`*0qBo4NN2GsDvkL#|qI+5;Iz3fR$2x9l)nFQe*41^;!f+-M9x
z+oWXrTL{m4v$h^R4qweg$p`GK9Fl1Zw`x8WnT9_Z?bC38?@rdm&BAP6x0BAoFY>ZH
zhvD-v|Mgvfxh!%%eTV%_O~rg+6-%GmZdmnJqDLU?wCowy2Y2*)amK>Jx!sGM<nI$%
zYUAPanO#;S|KD^7^DTJiR*ANEunPruSsH91EGE?scYTl9m<!LJx|;hMW-t^exCe72
z1k=8S^`0fKK7!NIJN+79!^?X!OW^&7-)WHi^DRu;_3#qY_9ri3F`DerM%Z;fYv3!m
zMKU6;8@8x1nXZKo;r(-;;4BA|%6iy&X7$r3T$mNTry9=XzV1H`&t^u)ko=8b*4lo-
zRRwkHPvCzJ(H9rssMWgWXYhH;i|jN%aD7w%bAK7kYrgu74xYX-K~V(@i4WUz!gpDj
zJd5GzT$c?z@b!DlpGx6VZwHPG!r$jaj}*b7x1E-S;X8N49zBG$b$azA;G5;zeD`41
zi`Fwz@HQXqtM}o$ybetz_@24N!d+N-x5<byJSk;vnFF_dYu>L7XP>;Naue?8!7H5M
zcZbepC&Nb+6go{{x0l}G5%4cFK{gB6{h{kv6l{3n&RKg{Zu=fTJ@^89W1u&zQ9?Ih
zK<us65d_EPM6vCKH-2bdjfRs<s>+06o3H8xp>UK)Kngp2R_?`QB+SQGCcPb=z94`5
z3TzwT$wmWTxRg5(21h<AE876?8Dx(Rgk_T5Q|1Nn{YdwG9|BLYK9l|hZ<84D_k*8X
z+{zn=BM)!dLGou9N7R49xw`{fJYg@Trm`Wp!8Y@p56mUNZuk{uxVDMo0<5|3lXN?*
za6!wO<X^OqYJUfRXnIU{4)z_HE~|t6ZMyX?!V>1jhBdIyH|6Eiu)^6*G7sTYQDc?!
z@FhOq_Ck2&Yvq^|EP2^fBL@ystG-V1+n)Z&%Yzq-%m&@y%a@c~BjDse8mIl?@;eRf
zQLvuYa5Xu8_b*wN`@u>KjqBw2mF5kw1;SY?Crxg^Y;SX-ykHJ9qxnRbf3xtU5A67E
zPA47Sv^HYn2J;1f9?Ky4=4a~N;iH#>RPy1=TLffWVD0Npg9UJCXkLmdY{o(>QwlrL
zTG5??Z}?1fm&55QHtlEOgg=sjui(2u3>uDbNB36V*RZBI3*BkBTh6lS6MTGcg`XYF
z6|Ho-A3kYXr|tv`wq9YHfc+S(%B*3R6uXisc&^yV&jAjr$}?YwfA3r#w}e}lLzgK=
zv7V<+Q)UbQU3s0g1+H{W6flSJA`i`NFcodi_z5^Bd2CD&el#UyZ3@3@dUbs_>_oL+
zfc$%kk@PbA;n%t4Nyf0d`1fulSfp2Z=@?x2Hhhm3T%}chRu86cwSKD&M^iLQlKgA_
zIqt{dC&IEhN8rzMzFRF}-r~BABwt`7_h|>%;jXanK{)y26rB@%N42>B5ZvjOVC@P|
z#(32!zz5dFvfN=CndO~Iu$D^KZ$EfTOYw$%@VR+Mg)4A@kK}1FSh1J>dL+!kKjb(j
zfc32{_DXl*i8DIQ6R?*HOWb{Uz^kF)3;d<nxbq==S>HjsA6DSL8<Yq45BBYDg$K8^
zzbu5+)`MTYfv1Z&&u7DX*#G1|gS$=km*m4H0r^^0a4u)Cbtb&ucKAs#oL)e;o(0=1
zB^y72$EppAZo$2;Ivei6mS|2(hgGlZ{LO;pVyyC_VIJei^S5EA{k__;uu0HihE#Y-
zm+My;+#z}`ARf-$cJn6L-?=zLj##+fqf3n(k8OJru7$&+mO8^Bu*zkT#$Y&v?Uf=q
zo*!5)%KE{6Yf_&*;ZAC;P9J#r#D&OnFjvSmO*i<W{ii(_;MpSdcfrvNtRGJivlJSg
zg2P39e9pjW7bB(|VR`;yetWon%0fdA)=8|VA@L768efmVMz<Er>|m1{5r&%ZlXFK*
z9bxeRuSqr7wl0vu3hvvm{$3J3-M>wX<QvG&pA(07T4~Ra@%8p#fB_#Ix96RdHOa5`
zo8W=%dX@){!EC1fCF}gCr)c=-XbXEwMC$*APoG?8B7fgv_)Me_)>>d+^?;?CqGKPx
zVYgQe0$>^zp~i6dv(va|6wGyEOehMbr|Eiq1Ku;fh0YHS_*+h&0{1I@a0!5EH8X9<
z`M+~)P22`%I;${T0N=e<o?r*B#0trk!e+x2R2FbW)P|mNcuMr#DJwWa_SfE8__@KE
z9uv4SvhD42c)XZL(F{IUUCa9#?n>WQqz^MWC%<TcV_Dy9GJ*^F!nb~a!{1Z~9fs=!
zPCV&`lfL%eGlZ}05-FL21yo<MkvP?}e@3&gt?y4&66bjJPLKX4>Lr3-73;t&)7evu
z@Xs%cpA29(+Vf+Auwwk{!z5nbq!GOv-os4oPU5K(3=!&ZkxR?)Ay`{wP*@9Q*haHt
z3A1fbZVrcUHkX_s`_~h&{d5#8*Ssr%#NEd`9kb!T2ZMJyz?(Q1>NDYg_aD2v!Cz0B
zKkI<gPwt@fg+Fs&<aiG^yzbw78J_#IecLG95oh#_oWHq*-Jbu!YBX|JqTwa|A6yIY
zfj5tt65)u^Ilo`<ZT<W1Nigf7_O=yxb$J)%9r*R%kD^QPas{7LCd_xgG?-!x|G%qV
z`tN)2nt%D=8sau;na2xYUiVlT8pN;Q%~8d$fMayx2Kdbw|B*77CeQH)Bdltc)%y$<
zE3?w3hpi6OWj=?0$kR@7!a3Qh;>~c#!R4duaIo#Mgg3BpWZPXnn5FpR&JLKNta_aX
z&d-^-`T<T-k2Mj3g9bdd_QTFm-lhC-7j2@?7x=#8p^f|CQBgLU|KRx7d!6>c6md#t
zf52f=OI4DvLB@-vDLB;a6Pq|JCO39s7T!Ia=OPami@Qzyfe!><Zjphl)-nuM;Aj=y
z9m+7>u;5opd><b#^9Cxy$64d^XyA?BWdgeJ!&y#QCiseENT?2McFZi51rD4(++zs0
zaSsb~z*MhU<@8CsVplX5oY&DCWd@I(e$2@ai#BJBn!o}Q%0t5NrhcLLld#^GcWz|9
z`27CADSMcnfvbzmCoFyW8fRh6><5nf;gNCsEN6If<9d@4T%x{f{sJr=dBcp%PhoC7
zCa!P?|Ieof;USjfd@q<QF5obk-^#7EH+sOO_Pq}b;H)E5mj3YH3fBY2;qzsWs(j(R
z8EL8$aCMA;T@-vutu=wnm&NmM>cZjReAxvjnD$%9mN-~$s4a}lxAV^Y7q7!smz95B
zfV=PZHQt2RvU_~Vd|j&H&7S~E`09SX1T!{^_}qqT!$w@ld_Npk-<<+eCfL3Yg=<W`
z_uPdqMy=RH!<Qv#Bk#cPS})bd!0(Sf>(7JPA8j{If`bnpQp|zlcHe%I0_!|jj46Uk
zf5{)rghyUpp12Q(2kJ8B!uR4nCq9K2G$zxE;G?-Va~1Fj<G}TYuqGP$p2N2&_~M?x
zZ3iNAYhY2GCv%ms__WlYMp$ylJmfi?u3ThR56|2D`tK!tQt4P>3;c8_#f$tNm)&co
zeGQi+%lE#8KTn@O(GE*ceL4LBX7K&;>>cbd9o*UtCo_g_{s^ZY+<k)l{@*Q`IQIe8
zC=22rhO7Fdw|<8+srHopgo}bw+=t+cqOpEcFfB_T#~eK8bAWyU9xRjhorZ57pLhKO
zZ}|K1?IQd%I`{87Tv#K%cODKK-1TY$u1`MepY5O?NB#KbkH;8ct4+1yRPZJ~M{XAQ
zA?>e^tgy8X=L2?l`IV|H3tS){(ZdS|Ez?Tug(J@%bQXr=QuSkn;dj|zw`sww8ze79
z!`cO_VF%!|ZGSjpVcpE4FXVcxc*2nR1^kh-Tu&1gzQ<Ks533HQe>n;lZa4V%4IY|J
z)+5(vLZO`5Be2kP!X*;lqgj`}4m;-u|0JImuN9?2If3=K4-wl)+<c43elD0o$|a1%
z%kIzj@xbq9J@gL4p#cmbVsIsmL9IIcII4?Z67JWq4AX{tRmNJ>;Q=Pmc@?;)zT})1
zY}KS#OSbovMKh}@?0ke;l<c4Mv6v^v;fDr{H%R_9D|R|NI5Dl`pBzl}xWCW=7F+)M
znp{72$j%vg!2ed$6=Yzxe`UYCU<0$<bdn!`S@lp5Jjr*0Q5+7;UK_mvM+>`jNy8Z&
z+v9J*OZPdo_QCpPA0%(W+Ge}%lk3m<Lff!(*fq12jhvq&cQ}PJVMfOf{(E2t?tH&|
zc+|spd?#$`Y|C8;Z!rij6M`$g_%=L)Q@8W;lk<HhQ{1T*<`vr;LGr7TYpPzshihLh
zaKQhH-7H_j?BmUr+;F4#+QW8uNZqn!E1Z}8*x&;^8)hrU1`pg<&gq9uawqOE!N)u&
zv<BepwHb;nFcqbL>Ij_j-S;9rOe-X;_!H(c4d`ZsC6p>+W=THfx)wEDUui4;8@7w0
zD4>B)9-9tXh0m-7vH!#P580C}unt?KT?wE>JWWr?mu3>r7kd7TFC(tv-@-u;Q$;Ts
z{Dr%PtX#Lio8rzrpNH2TtZv>08=IfwC*LoY!59Y~xQo9pVFrF)w{HU<e1NKVVGcfe
zsqXl0SS(rn)Hv)@Y`L@-u8dY~nS{gUCXPzOJRBPe24JzH-0=$VW!5#uA^4MY@i#Si
z!%*3H2P{z5DWnaH4Hg)5!RORY`{~0?lZIliVD<k3Yfa#SS&f8dScrWa%L!Olwcm~0
z54aEW9J7bJ554Ik_Y1$DRpg(6y}FId$o!aFSUPqdP98qMM(z*lck8M6z@o*K^BM3<
z<paS1@Q0UoEVAGL`%hh0;p6Y=6cXTPY0ucM!597;PrC^-I+?p9z#pX!`-Q=tjiQfI
zU}HVufe6@M`W?kxIH}L8#uxrlnWU8m+b<dL`NPhwa;XpD&F&9ePr|cVM*^O}H$pFW
zkn4RRzp3}NaIgA<$K>~Ix+ZB$0~~(bpVbn6rl@r4EnLKrXGeZNokV$#e1JQ4x;B#E
z&yVL{-RXxl9R044-|L6w^}9ykZATTp?}6X?pZA`E89r>k%K$fAmR|V-8>F{TZH6yj
z{iaVbh3&7W@h8_mjdm}OZ-+f1&au6R|GLm_*bFZ{`PNCUzpj|DN3z2@Kg}*Yf}IR4
zWtidcoGn@8`m^6|%X4wKvFm{{xqjYjr|lvPN4zinBLy>jvYL{FA78Lal7L;_T)Vvo
zeixZA!~qMAJq{r8=`igeHaKCtZ#Rkm^7d%?w+q*UHGT9X&eb91yawmJqo~{s?+wb*
znud@3RR1Fi>+zo%nt(fZpUM@4GmZER|AQZ0Sl1%?_r)hChGCYKowK~K;^922ewf;(
z;>Ipm*v{wACs;$aN0}2|IVs`X0h^Ye8sLUsm(y%`4}126UE2ze<i2!ohO^z7McCl$
zq8UuD;M^h6p8p>|T8p4scsjMrhXrw;7DcXVxYy)8KOMaP#zIsXd`Q@^kpYg1{vuQY
zbBdjHqk{94ZzmPNMLZ+S8{r1GaH)Lwg4<fnUz|^s&01NRuwa0f^*>n9Pgdm){E72A
z9Xa1LRKFi2!4(>71<P<*{@CF}*j|*?Y!0U6F06`%PhGsS@EZ>Pn==;<+v?oY{|=j7
zaJIh;cVF8yO~x1BgR^S^u!zr&v;p`Wow%zP+|_+WX$T$*lBf58cW;jW@d++#UiEc>
zDWWDL$awwgMZf(FY_(}cnvCbYh3!}E;WN1=UET1Rj6ZcJ;Gsun_q~Em+UrG4VQ;P4
z)@Imp`<E7D_)bfc?{m0I`u=`h_*}qNj(XU)wE3eBoUPCO>M0yvop?|ke#q_QR0B7-
zR}HJc3yLl*<#3X$;R|ut<M6Z*$-gWgXe|nhB+vaVh7D(RS_R?skD?i6aI1*_8GiV}
z1@R+Auy)6xPh9Y>R;MxYeK*j$?8O0dlsF}m`5@-%&`V1A(VHo661P1jVEb<;uJ50Z
z?IQ7zivdMHVYNtoDiRmWXwmrrZ;R7@oC~uknhZUKEu*q7knPpDJEvI#FH09Ukp1!4
zj@A-*xI0gi9G@`@GyA)6j9pdAd${I|(ZeV>$LP9G51g3(mFYTMpON+UE4-_LZ!!Q5
zO7md&4^CJtG`I|3i@9by3ESCy+2;nkJTS;4<Hao5G0q*f)ja)+jHl(Gg}-OvWo_+5
zG9KT(_P29|4V-L$P-DCXQ6?$dz;BOj5hmliPH+2NJD7%D)Sne@&Pd;E0e_>S<RbIW
z?$FE+*6?O3g$5y*CW=SH3@&tJa3u4Az^=?(bNFVaP$iiUG^W{DjbPW~i)J#g=>@J&
zrtrccv2`t2WHwq`ACB<+n{fy}{@)D-6S(M*%pr651K08;UHH!^#ScrE<0_@9AzYcE
z5a$B#z2NXr2d*vOAbuW}e|bgT80L++a5)Z6RO-w-0?!*C;7x!(n|Qw?+tZd8#Z?5)
zU#L+c@gILps~^G{1!o;e{F*~nWfN@VoY!#}9zE)M{0&U;;dL_E-h$5=>%H)It(6Uj
z;HOGwGC#x30y|sC_G&!3eP|MXdqh`33#JKi{4os=W_bK1+k2wtX52q`#y81D9q!~k
zAx<@o^<?!I658<c@t7V~SnGXnh6>EP&BSLrT*p9jQWM@Gag|pXF4tr4RDx&ib)N5m
zZPpH@sKK4Kmz))0(cgyD`(eF}2WXUGDJNc061VogN@WKBx5AyK0CPXq&M}8s9Pm1N
zm?}Ky*CjY9JUmemPCI`pF#ukFbfKDT?}}PMToTOgX|jjJKUTYlr@~ov+D0UP{q6&i
z5?D-t_c{6el85KtmchN#eh&`98O2=}zQDKNt8<e5(~nMN8iZ>p8fnP+Q1PEHqnp9~
zqtzuZvOU-Mt4$c;xo6*Ak@Ih}VaHJw_@CcZX>xv6Q%1(s;3yTFon(CJd5XoKh1-25
zWA)(t?myzL@QbT@mB-+1T73J$VSnom0TO>JKlU~f9*j}aBXQ=ZOs})xY3lN4M`1zL
zUguo+yT$HrWPIv>Saqz01uiBTlKAuSS5z<Hrcu^QB;J?sWBn7nEz@g+jEBd{#hLwZ
zsN&jY5`Vk+KJ7PL6L&0t#3^M{l@?+8L^=(!e?kQhzR}F$`+58LV=`XWEj>c%;nXcm
zUSxZ3ltzef!E&v~hRN|{>OK0F2cG{qMNi`ChG(1Q;C&i<d`aA!PTYAv+&KGFnH=A>
z6?LW~@bU^*5jnmAd#E2Dh3)vhx{>jGb)D_FH5~Doc0d)*%<5gRg=@Upa>#g=wwlOr
zgKNJ{Gb_X67ayp2zzwsNAIbUO%=COD6pm%-&?Mu-_I6-+IP7pUjgI_#++6WuDe#EX
z18;eFBbQ#=EqIL8F_Vmkq;}_)QuuV}X+{$7a}YTD1a33kBTM27BFd-QU_nRzY&kf^
zaEZDD-eft|LbgX=l$ml2W~crlPvZLD-)2p~WxMV-kk60G8JXQQhx^szkrHJ5SJ3C&
zV1~D(o~a?*|8l5mND}rmQ~Lk--nrxzECX+NCN)hyKRo^No`Z16o>eQdeZISu-W-A@
zDgV@w@y;Z##$yO)%GHQS!F3!<HO6r2uF6;$Sh{$P*$QU8HQB`j@1og0;{f-Ku3Y4T
z53p@Yw}c-n?ylMZKi|6UN8%SJ)lDhkaM?K_5|5VIq5qB#-%r7r&~xzn`KjXfuwwUy
zPoD6$8HH;v;5G(2Hb2;~n0m4v-ek|~5(2-m$+f74ji%G-!{C3CZZ);AYipTJ3~ZW5
zx2FPDD-m0ZgRe$+MOVQ}+qI2T;pVR8lLc_&E2$fI;MY%IHW$IR?YjTv!O<$cchlkE
z3=x4MSZ`N4RVG}mukBj~hYja`j)PAtaa2~pi;a$|3Gjg%vJ5Zbv=`Rwp|ExO%HbyX
zK^D7z7~Gb^k<kV}F^u~W2+J`0DtEw1T8EEZfuj?XZ}h?@RnIDXVLOL8iO+E9gjfK{
z|2r(+I|27Hr;d8T>w?#Or(rWAV_lMegukG55#Fg-QRxO()%<f=hV5f6aC*Q$)%jjf
z{=)T!Vq3Ti{9Mw@mKy#fs(zH@@2n`N*$#(Ar&OJW**R(R*<sN+#voU?FyxTI9+=^u
z<(L!PXnAW&1kUW;rbqIbk3Q9qfvFzYJhg+P{b+~fV4YNUZb!K3*KRpgc(3@0NGmwq
z*Q;9{<`vsEZcXBslJ^{e1ENfho52gm245eA+0q!EnZug~D0oca(PvshM(}N>!!^g@
zy<b-%P2fyE7iK&7OoRBmE*yOS@nZ*AZ~4FD`mmpRCzT64pS`tF8!qDAn&S$4OuP{~
z3@53{FM7dOEPf@Z!(3k8$-eL#1sijcPcK=k5(T^HW=P1xrO#vnW8vIZ!^Hitmxo11
zGF-wD;<6X6=WJw3hrgyuwC#fxE{!?n!u&HDih{7CDi>8g+z~vJE)2H|Y8-zI@3dtZ
zVuq6hUdmL$RDG42tnit(vB>A}_K!7O8(@hxvF1j&O5ZkUBV5j7$@LCCA80kU#*5$Y
zc%NtQVQ<>MM=1~wan9NN33gcdRkeip28p_deXxPGd=SZ(wb*Vp4i~KpjxE4RN#gU9
z@bxa2$1AX2PQ;xx_>hn>*Kat+B=Z2pZ!%xZ2a^1Vl(+G8aM2RW7V_`Ky(yjD2%A1V
z*+YrX|8b1wHXHmlD9nW({uw&DycHG}lWk*!Ro*fi@WA_r%pA7DlUpYrbHdTB46nAs
zt@l|s@Wb~<^e4&jn=hz)Me-%Lcu|q#&uG(n$__S~Q@S7t`#h%D=m_gv&rMN)Gs5gB
z1K`Mwc2p$(_H<HK5ZuzxDMI2E$L8*&z#Bh>q)5O;Z-kU@!?7#JmZf0BCkJn2!{Hy+
zokU=_D?So=us>bLYf)JEck<PTuyCHYj1cUyt%<)F4xQ9a*$peQjQCW+!$*Hm?u4@<
zx3E>infVn?{BS6vv`YhQ+B9~6?0?_akb>9n#T^xyWdHN%^8U8N4POp3Fu@5<uhT!k
zGCEt&v%nr~<1_tmwUGEha=c%a?G_(`-D2nS$#{um&<p(u`{Yqvp2zu#Yz%xk1zXcM
z4lTk`^*P%X;igxbdNc4~d}a9(Jb8e+cn;3lK0r%3kM*nS%Ut8|ai!_}4Y0;RwV+8@
z{_yryMiS57Z8`vtdW$P=fsOY3S2+kj-fJGq39CP^i|v40Jx{js!o?asvmaoewphO1
zuutum6Rq$ar}*c4VH%U9=WVd_p=wrXc;=ter~7avXS|pieAk3osR%Axc^;wzGtZZ^
zq{D~(lV9k;m$a-rGvHm6ueX|!zt_tDnhbw0dsJo)vyCe7l)xvXpBR<H37wlutKiLw
z^`#|ns^M%*JKV9!Xm!H^`b);X?fL|p?J}^Yg!ex6)cp!i(pFh;!2vGk2S?!1l}FFm
z;nAhHH_7o;@r$5AMXUOLuHHTC@TM;J(}u9<rzZpCd_MXt^yC`c$D4SV7CwAT^H>b5
zw>{0B#H(1M4e!C;OwBZGu%4PrNe=A$-h_|LH%lWl#v|}%{p2TPe80BtFZ~8@tk=v_
zhGU8aj&EAT^>kRG;z3yF%~T~l{H=1w$)oVZ8Rl|+So5aW5}8kf>^^MW39}sg_MFVW
z8adx<B;iqM6;m?57bIozh{OAzKjR|52c-uey;6n4vN=l5!QZ5vgp}dHrCgtj@LnU=
zHa%E=kY>{*c!$ysab0+kGW!GheM^3|v&RbNnxs7w25S|y%3Hv?ade5-VKJ2!X?Hj!
z!DshP*oWf$%?q&6;XhCAz+OBy-{awUe>dGcc<<dMtynncm*$p2_~Z2WL<ZcF^eP}5
zb}TTyo&`%aX{HXsD>I{8{Qls2&U%a3D4Z<h<lzHL?q#{U0H6EVdA0z)&ojfZ21~|j
zy}bv&JP^l7kL#P?zst|J!yCQ*vsvIjM|s}AgWLaWdB+aZzp7~&fom1&9QokZB_5IQ
z@DD!=5kYv1_ovR^uyu#w%YATPp0xBFoISi8DG3+E{_LY%!u7?0g&pL2?c7rprGJQX
z^E@6Q*N+vOXNH*(Px5;dK(3$NWK=ab!@hgHwaE4JzJ>9z9k5IEr9N`M*tK0&mm7Xk
z;iy9HA71*>WeUJc8%}pw!KI~o>pNis%ERg8{yNil?w%A(b<9ZWH0<_Jf<^-75YkCL
z3%jyVSSi3PPDcC4{d|zEVzn$RR;>Hm8xGjh<Dd;k&zWBff^FUD8#LitE+?k0z}BBW
zZa+%$)6QOvgaZ|+eGbF6GC@aUU<caUJ1k*+=lJ29@DZo_pyRNA#9i$aSo+<yPFpx7
zzwC1ctf%=%${Lo48_dmtm$xeQxx%+g7Zr=(_Aqlr7dY~)G*vMi-!M4j4=di#zf}qI
zi2qT)1dqIM|N9gk(tnl|43~AqCccDIKD5pU!EycHteW8At$KIj;9GN4bMIi)n-+hs
z!@F9XpLN0k>fO0_V5jfVhJCPab^nGm`1$oU_OI~WF5?G9utK5G;}KZ)unA)UtYdtN
z^(UP6k<qRMu0Ii1FaztJq<!%Sj*dO~aS@gm6RU29txIp7TZczdc5%Ie({6>|+KBZc
zfqK>L18~#FTJg>BOBzw{ez<3O?@KmVaBQ}56;5zIcbpeynEWWP44=D1`*SyZ@lT8g
z*D}WYwquti;LxhGAJ}1SO<5gTSTX2@-yXPf`0Bs`I7cC+PYBi<_RJ^iWk1i12Ft@e
zS6?e1hO>7(9g=}F&6+pr!_L*zQFx@TuDZJ84q2Z&d$xU41CD>1OJNRQeCl~X7hco-
zn_>%F1uLfOz>J3@SIK(ce_UUt4PlknLkVO(uxj;=fj+#6+I^9%7q$$m<e0$}7h7Y<
zdg9g3%aq69gh~53vfjwD`L@{!SW~+;G7x^mXH;PUUmpE!6avp)jkZ1u3uzr2je=`#
z9H@1MKc87RdL4FY>|u6;WlGJyk@Zm4u~0WxxQ=b@P%<ogny1kVesR=xfUKuJyVuC?
z0q=hKEI%7&$o<t43NtP7suaQxKi}LN3|~>ZM)MfvJNUfg27Ji>*PRNu*T+&a4*s5W
z&bb<P)xGj56OQ`O`?nsJ@ZF|x2X=pH-%Qq%KUT<neF#rce6S|#%~@YwsT9FS8qNrJ
z!FmzH|5d{&8^6}}!`tt>9DE9k)D-U;fX)6croM##jte~{>)*q20e|XXdWxQqF<5Fi
zKJz`CD{aIv2S3`zwB8B}C5i{(6|OIzxuh6(!wRK^TUX&fmCU7`unw2!09lWJeUiuG
z8_cHs%aa!C_5T&dR}I3CwFi3X;e3j1j6dPAV>WJE-~hW&ml0TZi@G9N-!Ir4xn&Vn
z;D6P=1GaFUx%eA?S6*?OAJ)7w!%n?|^_kZyk|J<pr?D?3Y#^q(A`V-d>GQI}aawP0
z$iw;Bg+a{lOi-WI0eCb%OK>OLk#crU6Q23Fcy$NdZ~Zu24`!0=>r{pR<sIfRg_osv
zODV$_=ZlzK;gX>O&v-cc-P|Q7SazH9wnW(blk4dy`1#$|KTN9_k4C2J@$jMawd0%M
z8(fQTNc~Ioi`F$B_(ICC9jSjwdGg1a3;r#iD3T2uYSnMp2gg=~)RTG_Z>dqoJ@DL#
zAz@NKHL`T1QWAdB+)+pBT^#<oY!`<=yhw|xg6-l&YgJ(#v3R~0Fn62|w=&ESyb@Lq
z=a}VRI0$F-&2YEC56;)NX}~AX+lREmlEIw2bm7hA$2q#-uo97A9e8i#!SA2o8y|;+
zEnts!RsTVl^WQ|c8QjiXJ2(vA+M?ZO0}CFk@)?6q9Xq=J1f1HW_+<j_Ey=ll5}qBA
z^ZX5uGvtlq4fN`_lXX;=;Ibxz1a~;(sm{lL@Gyt&>;?G6j~*o|JfD*F$<XqJvll*f
z(!=+LZ{~Qxbf;VuHo;%6jVuJhU+pfu-wH=<{$%P8-<!z2P3m15ZG2Xv;l-bYk~`sm
zeg~^4*h6o6RS*tK`b%*eR@Pfe6ooYzzS*U~@sUSurQprtmuT+8ZPzRpNPSE59rIIp
zFn31HOBGm0WQ?%_Zpv;m*M^r88eGa?iC9$uU3k|u!!3>Q!6egaW4K|A|KdydiT&1{
zrZE4h(~WQ7)MFx5q@Lx+fE<4_OqKQ|)E-vqu71-4YsI&7o`DCoukP-KkI<)Iae>=j
zHu`^o^~WpOJm7fU$i6<9F~;f}sb?8eqYfU2?cMzSF2lhM^<PKf*JGmES7GB_O5sbe
zYrD~xXt?6e-1h}Ilb^MK)I&}=or<RUi{}>%N@}SvXCK?x26$iW!bMWA;@437jR#(h
z6{O3DSy)bMaKZdzwB1GUuge{yBCyP)(z!BNsmbfm9{5DS-VE~m)_o77x(2M5dQ!F?
zW;k4ssS3-jo}nPmf9-8(wGCk#&ikotaJqM9t{!}ozhtc)9{kt3XbK+{ok{uxGfCQ-
znZPQ(Yb$;51a)+Q6@0~2C6Uylu<EnZTEJ4vMoZt}FjoyLdw8)gA)eH;X1r^8Y6H6#
z6fKbYlwA2=jLvYe*JKQ-PkHdz+vOxY8^-Ya53G9fPTe{9fwF!yc|O1YHy6)Y_*vY=
zS@L||?3bFGJN#4XNhEpxe<1By+XeVd)0Zjo{D0{Cmz}<_qv@`2QeRM-Ykb8E<`yxW
z*baYI@ca-+oR<{315RQ7F6j?Hs(JmB4_2L~3JZmqcQFO;hKC2vf4c%-^*{7uFHA!l
zBNqj$wZ;ZX!7)s~Zid4t&aK}`y~e&!rqNiqC}(Q`ssBjKcGJENk6t-GOzJ-h?4obo
zg!S&<y+rCs=2Ctv-hh3YN5AU80eAl$xeW{SN%<JU+0(}hQsA=Y_nM?0+HXC~;6AMR
znWz5*{7<{*VIEvs=&nxctM&9J{yl^*7ry*N>c8(lRIn|AYZrX-NWJ)<XExL|u>GHw
z10HbxmORI&u%h?A98!;-#a>bI5@vC{qDbo11tJ%>K8N);8`6Zp^$FXm-@~)3`594g
z__86#J6J0;+$9#yaXtI|3;e)im@*m8f0xPA4=Z-Re}5a6FDP#qhfg+(J7>e^D8BFf
z3A3Jjc)I|W4PW7;T*LR}{8p(Fn7Wex(mLXz1N`ex;2rW}yv&GS9E(k^g*Vw525y3j
zWgj}$!=5^3{5#-$P41O9aL^g|U@o{;6)!k}4T3%VWMJk~7EPbvX1~Z!lJLbBw-Ud=
zXK1blX%LUHiu?zU{z>?(3a{>P{PPnoo{S1HgtK*q;$~r~o`gX?*xO3gdI4sW2@AJ@
zUxdH>{TGhg7Wv%@{^uoDPl^7BYkgkV&cQ#j%Pr{P*)sRhGjQd331KGq_n=j*A1r(4
zSsm%OP%AZ_@PR819=y&4s~nO~h=kvGec<PZ&oJ+v34?i8&drkk4XaJG$;t5Zee03p
z@QJp$Ux_e7T)vqMEFs-?D;JilSDsRWsU}Jnv*0v}`D!(|v?}UODXc3OXQBh^o;khp
z7<T0qm^OkFF3}(AfH^{6hg-n5!-KhP@MML@^^5R-H7|#Du4DbbQ%2wtJhLN8l@}JK
zG_be=bMF;UP=MEE*=8f)e#h@gvT*v7{m-w%mOs*zwBh+N>f@yUC7s>umL~iyl&6mL
zzbN*KPw2vfIb)_7aOckd4j+a;U#6)g{WSLbYSWEi?`z%1NWYEIb=PHmIJ97~x)5$1
z)YLl;Kg(z`A^kke=F^48;QoJ;&&px<g@(T;;M~Dl;~JPT?5vd~{55RsX&r3hs{F_S
zmNTq2YJwG5zcSdtDAK7S{Y_2>i)~KB7bfcrNx#%BO1&B<_?eqHFX^wkbaLF@8=e)S
zuKWx$a)dnhfYqa}h7G~u!(2{R;WuhFJU?NM*a!8&u!(N&)p7XLMW1cgVB^Uk?q6_%
z43$R&yj`g!bRK?e-})*J4r|Wi`U~?MFyW7ZBg_{<)?vmnPVXex_I)QO4f@fla??K~
zz_~fQL+IcOP7Xq8@bHF>oGh@#`LCg=@Of_gU{?5(Z_dZNFx_cY4lZ~#l}jcAmOMf^
zO8V)vi!ys3!7It%FOz<|ta=vt2XL1C(I2E=&$*=|svNFM6~9dS`Bwg@{3wC7hZyup
z|KBs}>g)AzD95k=lwn_yU1QJTAL;|;8t|^nTXF5MhX0$RN8pV$%M<V5+|ULt(hnM+
z?3yqDv)7fDk$%be!q?ON@SS_rAy)9@xLnc%%s>2y(-GdV7(MqBHtaMtBK@`RZxoDC
z{=@pBpyAJp@Sw-yp?`>*?DntnhQ-aSCYcfM2)JYz1Z#@t9N7#%xM>m*1{*7tXb8hB
z6c)TOu-f=+rT}a=V_-)5o1OI+Q<ULHo+qZ#V8L#Qc|~}<M=&N2-n7uIdIDyQJ|OrI
zJ|#_a#{#~|Cfis6|2m)X!w*heGCffTH#;<I`ND#tkJW#`t>XGGsVVf-+Z!wjzQWgS
z6;9H^{Kqs{hT+ue&I)GuM%V3vpKyxH57y0aM4f5LJiOTaxmX?!YMEr8f)74@XQBuv
zpZRuW1`droc~1kb_tfY315X6HQ>npCr?r2s5(}l@H-trw?c!uazj=Z1eFt4w`-O1G
zW_U;6{wF4IX5v|0L70MVUn_}Qx%-z1!!n&ucN~N3f0YHOz!&d?%N~W<4z_<+gAMGN
zBT4+_KKVc$*zeB5cO%%p-u%BKa8Y59yd^x5_#)64zV_Gl=5g4%P^rQK{-rz{?FPR{
zEY!D$n@_zRb%hx=^;bB;{k{51-tcwCGdoVer#rj`d|?~SH8T>=qW;%?17>T#QfCF5
zB?(=+2|sK{HzC|KUGO#?{>UyFYX*P)`0jird{5kQ!5ltbZG?L`J@x(4{nkcs=aT!$
zLRj67vB?BBJH1#@O5(hiMUTSbYuhZJz@83|ll0-*h1(Bm;dh_8|7yd(zf~B#fL-o(
zsaV2U5uM*CDe?F1uRJy3Q`vjp(Zfate?K3DZ+&>g%L*US(AFZym+i%?`fc#lo`47B
z_&WL@*|r0|7xsd6KfLd`O%)&fo=)t$GJLn}w6!E$Vs%DW4(7Sw|4$mGbMEC*f<<)0
z^0eSTnz`i~@E3hIN)1>_hChtFpP)b9E8iG)+cL*v04H6u++YanjL3(R<59k+-^?7g
zdql%a&ey>H>M~PUuGu((9Pj<R6gS$yf|vOD$oc5d+2&{kuQ!J-d%zk7Ub#uI?TmAx
zKkWHNiy{%`&1+c+gpbwLn54nlm5=}bzJ_o55yh$Sz7n>-<b4iP*Z)#x!P_4GO(O4m
z_$b|An*j?>oLwXDgJ7zbFTDqsM9E2H!A|F%xR87&!3U{1uqwB3T>-q_bVITTE*ARA
znGgS$&v^SGT*PbO`WU_!-}ANx-k4e<R0vnxnssf0cc(hIy@fpn{&m&C)%BIEZE$CG
zlrniA#>FE3Qy*dV>crfqu(PN)T`wHfp65mKzXa$%`U&%U<bSS!UwUU6O~4aQy+JSF
z=h1p;o2c~gKK$1Is^C(UOciEW_<*)WGi(*gA*unJr3k!u4#!BGZ`Xp)q|Yyr?c3gb
zuh|-|4S8)x;%$s8XYJs`ft=eU&RZkta0wnYaG@Y^+uLE(0kG}VgU$vxfZ<r-by%PB
z+<vnEh4%OK;^2v3Qx6iaq3+kZ58vgZ>#K$@{N6WO2p?WtWhL=TCAME1{vXftBk^*D
zl8`3Y-h?uoZ2t}O!W}bkY)|S0`TV<2|Gu1qt5|vdkoS!YwoO`dZ_rbBp3Aanggfap
zDR|+yKW(WbeqrO8Kk~4tz0NxMyx+aGX^QZkKPL|Mz!U#!!~)?-_v)heun#j^=Vf?r
z`J{d?9Lf~Kl?8{~ResU|JAL|5mjl<_`x5>Uj!DdNEQhmY1Si{I>#pUEmGBOyc~g?F
zFniqMIo$fnXIDL3ah&3ABW(R!Gn#B~1+U#)E6HyTnkC22_F!?+d$^zBh$Y$I))c1E
z9#}B-@(c2Ql=Q9E(S2~U^nc4_d^n8yh5UjQ4>Q@5_}jnDf(!6klF0@#zLXr*FR)P~
z&VAu58DGC7<F;_Z+oCl-kmGG5GkJ0sT-sv3pS*8H!BT-%5H2tf$tL5C`$w{+C~VE+
zpqL6P@67%o563N~btJ)FEUHQ3aKyX2(qw*c-PD_M6qfr>D_sk&zN#~J3{F<!KP?My
zV?8Nh3EwenXqSgC%XWu2z-+Y%>AT^>1K(ad!w&Dos72t;A~P;Gc*<zHoeQ2nZ*K1e
zyV^(W-vMXhKNt>#7p`n}p@G@MD$>JXdauk6ba2oc(digiq**z08NX-IqMKzC;X_p|
zG=JgEJP{FTusxsUhe=o_&GOw{*lY7QCGz|DUbdUJ0G18sbM1u<TrSa;z~ScE-TiQ0
z$AaZkICi9d<10ACFhKJqypXPZp&1SjSxtHaYpbi@EhawV7}Nph^q13?!HPN~?Y*#C
za@ziMn8!lw=@5KwD{VG;|BBzPa)vQD$XCfV4u0Ob+h`gV{gu;w1C}^coU;hmpFF<N
zAD+=}ie87Q8mi6*!c-B412h};)UTZ}IeQ$w<#3f@8*G0mzmvSb!s#)q4G&x<c|~j^
zoMtv)p$PZM=r@t~8*t}p&`80?oB<0HxZX5kygIcXew1t)I|kc1d{2{vtM^>0`v6zy
z{|g~;Q(hah4*1N&6A~mo^NwpL>GyZ7-{2(&7xU9SeGVTyVzWyOZcN|tlU(0VrYq8s
z_&XQ2VA5|NAsSyH3X7D#)lGpJKW|zg+hg;s^&7dL7)-LezZb5$7xX9$R_t$`5Qn$P
zMQVq_CUxAmh2aEGc@|GN__oi$KA8RF;R14hGkUKvS^)mSv*6(Xk8x~n-vdXxGBeu2
z`3B~JJK=vBr!JbqclUeqlKd>$a5^)X{b^k*7ktC`%XxkHR#ngW9q<kbN}8i^NAM2r
z?Qpz;<vA^QAX%!89o}etb%O@nRp8^o46hk}Iim=>b%k$Yh3UE7rKI7N-3Hs1aX$Zu
zcBY8HS9Tw-T!sCW7$o+<$~h?~f5WQ^=aP297FD-5lJQ_1Qz*&{j|TLXO~F0S-&oVa
z`5CWoEx;}@tP9kz*Ey;~Bu;74_JZ8+`YaD$`vu>*!e{Xt?w{pU7>C2_Kk<|M=g#dv
z{b%6ahSD{|aEJVkJ)`h;?YN!&aIfE53mLCA+(yP9;r3@I1^ZxQwvx&=c>gbz=Fjky
zExTbWEVaeWvkNZLzVxIKR<k>}y$7yKI5zSemP^lZYl35fp6XV?#b4dGknhuKu;_QP
zeo(TS`TPZ(Ws!LJ5&X&YtbGGqnZr0-1b5aXZLWspojnfa!Z{*V#kKJ4;_TNfIQjEc
z>nHHBe2ar*J%iQ$;CdzeAn41N6qx#i>x0Me0*AI{JS@GiTfY<@m4DwK0}Ch_tdRL3
z?I1NH>GwY|;XFv@hsU39<$A(YO4njYJT~K1mo@C|7U)jman-^HNI$-Mh|Mc9f839{
z-a-14*lslIHp0>8zblY_ri_>e8Le>d(EHP(@Xjf-P;$K9=JU0aej%kNDj&)5eE8T|
zmaK2F+c)`qh25em)5-eQ_0mTzKj4f31!pe!{doDNNw}i)Y8ww+{UgI}9;W46Ox+AC
zE2QR-@#Zw8@{bwL8VFsW#CWWjYZqU}`dwAaU>`kPo5hl{3g1_HFG|L1+jo0=((lqE
znD0i$_iRkY>uFe3J*9yU-t_Zp!XSKF!(pQkEPtJSnXES|(;l-R-+z<!BaNhg&X8|Q
zx-|UeR7C<=uatE8qpk&O?`c{j>zUtZj(yXH_tLD|ko>-LhvW?4=8%nzZ{dTscYBOr
zIZq`KvL1R@|K?sxc=o<pd=uP|Jofek%sg0VL-J#PcV2Xb_m$^2G{F9)!mMs^-_qy3
zB!7~R`;;$C8POG22gk^qr}2ly25A>xz|NwMmZ9(op%tsAaAk7oN*GL$DArI7|K_-_
zA4~ERxOSJrGoOA>$HRxW=*LySDI;SVw_wi}+24;~wH2A~Y4Do0vsDSKpC}@q3)|Qv
zRgr#5ADPUxGI-0?3f^$|&|;cV4g6-r{HHg}-nf$Z68=u@ZAkhvZ6%jS-oP=vYELf0
zT#<s2t?)R5HMb|+aao|h3-(Oi6?_in+@}}N1OGI%G9dX+ZtLzEg-rw4%gOqBYK?ot
z7<`&imW$+Hm3H6$3(g*yxJ>$YrV5iQ=i#Z#v_DS4haV)<ufcQN)w;Iu{!3Lw|KN*n
zx=YFWJvH^yHCh^6pYVpVk$xU;;ZK<i@Yq0l5LxekqTD;j3cqX{JETYQ9XHEzz}F-G
zJtF<DwfroRJK<BYs=jLQfX)6EA@~)Y1Pgioz+@xivjcXFqfsUOKbk)bElFG@oa&PR
z{AT754T;xD?$6o=kH0*4m>*t?QdVSzzs&Dn;DnW*xKV9@Z=MiR;Dd+G2c}cN3(wg8
zV}n=wwo@$Q`OKLeG~pz_zkm1bMOdSGL23(3Bipbx4ewMN`mhz=8Q7OH3A;<bzrqMN
zzRr8~5%v!9bR=;Rsjz*$F!gv;1vgA<aBrUUWAoP@_(S%WwIuiic|Nth%S3lC9Q!Ej
z@D<qR(NcmIEN}8=I1m;!?@>JfAN#C!$Quq73L8{`RbEF8dcaeh_Azp>Wu$MxNw|#d
zahnp{-~C2|^uvFZi}aU<nb;~ANdMBtH;pw4aNkWEck(>&*3U^Mb-3|(+eh-e&?h^h
zSQA#y<IOdO7aaP`j=>=tBWQKu?s)e_Gx(09agP<;_b^KN2K;p(OX(OaI3qZa2wRMA
zq9gAs`1jELYA#%`!PJ%XOC5FEB$y8$;0Vexho`Pw-thwd`{XG#i3_~rcwP_Z8hM-}
z+iUw)b<11$)4hUr^7#eldP?8Hn<aQM4B?DXev1K^lV6weF#O-z)1^W3_srC1NPbqp
z;L)G(mKxD_<oW3Q50A-ln673-S{vRsb6f2<+{sIyssdjx78zQA#ii=k)L=DD6Pa~b
zUw_bHKU`!!)I~vy`OqWfjS}4NMYo$C);rTbF92UUc9(7oOy?4PLKt3BdV7KscFf5a
zV26zx-`wGapQM{abHWN{3p2uS!nmCY1AK4phomTc_A~9XP4KkX_Aps^T!Lz30nejF
zBb-kullWTB(Ixn4OzP8vuoPe1R`R@Cq~`SU5t#lz5r5Jjw!<||&jik5<NEp?e*SB1
z(iBdgsyO%q78jRNw}DUe-YxhFm(eE<*}=Z`O3cG>etVP584`Em^X!A^C<MD*-~_v8
zeV^egMi#q0;hWXBRJ!51kL9nu;cu^{@_L9%esW!g|MoM|wZmP}8a2VN?Mm*2PS||b
zhv^zD%sIYR2G@=~jlT(}oU%<N{b8@EuP9%Kc{5gQNj-x5KboK$u&<u)QYP%J{dR8@
ztV*-xWjrj_t?m*FkM4{UCiM;<+pg3l!|Ssg)1mOF+t^wf988sHO8US4+bUw53kz&A
zei{Vxm|D%<gF_@*c!S~0(DZ|kVbQtJ&`WSUd&_?%u)XlgPk%VAgJJ(O_}!#^$vL>8
z*ZR_P_!&nx+XYxyIjgl9_SzBR?+l+Pes!(|-gn~n5UB?_ltK5R6VAP_USJ6iIvoDj
z1224j%w!D<t;CuP!e^)WGe|$z?ZE#&jKN=rBQ}uwm5=LU!oT37-6l6~p}s~rXyp4o
zI{Y3h%7~Eqqhj@|Hw0h@&Za6~m{Q7+Sseby@x++aKcx<h)(F9m?nn$ChkNdLC`rPr
z@?w6Z|D$X_&FF5pS@FkNaab+Cms$??ieA_t3imQOmx{sz_YNd%hC5{KBotu31j~Jl
z@c6aS&*bxN+*3E3M}69?ghI7E9K+%=GY2ar)Hsv4?dT!S&u~xa$Uzc+)frIU3p?>S
z&xye*hi<5o`g&@r>I?hfx2;|MRj{?S95>lsiM(WLQa^W#nSPmkzDD7HnWR46#wYlm
z1iXLO$9=)D5|0DF5`3#(x;Y45bL)C91wUF-sU-D;g=z`os_;RxM@D8atHW9f*`Aw=
zPjgAVY?HW+@gdl4mx?N>r@gsezor5k$ZSsdgZjywi-}eG@H46WeWd=Fb!O(IHr(^c
z>flrOBz2dS70mvPX|Mub`6Wzi0=Gq~UbTWf3-f*5;c+G|UJLmA^+|!VaO^~$-q#(t
z-ZvRwyb1SZrIrrCHco|h=`i)H{E8r0d#nA~I(SvalPeg0ETmM|1Uo+Lme7LRwDlkN
z!^0<|leFQGS_!J}utAT1T`Ldfv-P;)P4t*=rz!Z~!>k`d<+j7iZ~Gn;!y{_1AM(N9
z(#=@P;MA4p6nkJ+{eQP_!rKK~eWl@DJr~!LVU6bIRwX#vdLq&n{$7-(sSSr@m`wV?
zUb1N^`mlP=|2Vquc&@%b4&Y^Ei)>j@k*Fluk(o%@A)6>8ky$E5va(7^MiN5VdrJ|@
z$X6sn_NJ_a-|PPVd_LZ9b?@h%bM86sbA0^Ey$Wl*nD5Yqo4YJnoME-Lg#)JW{NmqU
zGdNpC+R75%U@<vm2{Y`ID{_EuYL1cUz>BZE7M$U~mZ$CY;JQP%R6OC<ch!egVA}G`
zJ2&C1B9=%sSYa~v>wUO{uC(|l?D5JhI~4vpL9zEZOc8&1$79%%!R9AF9QoE=HV)4H
z@lN>w9H@Oe;w7xMr~5TG?5VOtG!^cf;iKk*e_o^U&xR*^m7Lh&h|&<A9JsDNteq2f
zaEWy*fmQ9_9A|=isF)baVPo^9SQhx;Szg<E_{S8F=`Q$`$?l{^c&*c>h7w*>=KkFV
z&zHOJ+X+7|jg0JsrSeJwN#Sadq>=CN;|ulU8+-9Q|Lnfk4^tbEYi+@WOFZ49a9tMl
zyA`;UHr#yzHmla!vktdBdC|B4JGN@wScLD8P}=>556_18{Dx^**~>QIu>6NIGqBx%
zcMZ4TD??3*bFi~}ROT*f)Q8NgcZ|a>fvf6NFirfX?Ib+=mhuH7y!B=F;}9IR$4QzQ
zrsNbkJOW32@C)aH70B7bf54r$284NGV{`q*0a&Aa;kF>$?!{fy2AA%9Qzin()ERPg
z!if`=bP_~-{>05@xZayNOA?M%cmCN5AD9x_R)ERIxn5PlvcJAatHP#7btr0Kx~-A$
zbMU#b#pYZ%fb@2gF3iWvf3yIuYkb0G3j158?y!eNkCiKWz_tk`wpU=%CqEwh!Ih~E
z!MgC2t&CG3{HC`2zy;Xj6*D^#x37Kpm<E2-XPEF9e!eH+7!@q$dQc+_rgHn1*uaVT
zcfauGSMV}ZI!Pm3W@fi98-Cd&^fn4MXzsdN4W~7XFg%6_!dYuR!nH}V5`OSLMTsY0
zU?%5<XLsNiEk2Xo@cXO6RSvLThEL4^e2S`v&k?TMsAU?59~@d%(T592QYPnMin#a;
zLztdtMt&7OAAiPC9X6%m^7;qYu1|f@fT!E+TgYfoKV=Gzl7V{~L&&IMUMs<6IrynW
z&&56PXmoLjC`>0c7sUosv|ZSH4Bpa~ALE4!|IsOMz)D9yR0zV(R4-HZ!ff<x49DPy
z%=C7&@Xt^h4GDO3cR~|AJj`T~AP*-W-w4^}!1^s-ty>9>;Ce8(6LH?p@xq$0RNK4r
ze-TgnN8NZ1p8OzH@DDaFwcKk6*E#!n%)&Zz68fg_v@U7yJS?Rbo?!zk?~#rlgq33q
zh8*Co(ekZf*zn~$iR*A`<xuTc*kbyMizgg>+hTt=oSf27e;Ym!>J<0|rYhjJ@Q1UE
zCnwtBFMqrXf?<WCmCQQWXlCEcBY5ljHTnkl+_&3`PvOZC=k`K4sfW|&1^hK)SiA&o
zaPs+_3R81-E~mqvy(o8O!n6fS#+fizk%LJ-{7_$DZ#>-mX)3w|j_ixLodBQ7)f%sX
z?LPbbd;<3$2)<tr4_l5ZJ%dMLr@uABIS;bQf?@xQrVQ;cJ0-J2C|u%JW7`8$tF|7x
z1=q>*C-lQwg-640!vZ@WE{?)2?&Ncxa92lR_yp`UZ?EG+<n!(wULc&ii|H!t`qYtg
z1#acA^K^nkAANP%g4-7VNSeX!yV=r7X)*quIUjEUm*w2upn*I8WB6wTtMny2rH2Kj
zuUeSET)QY|SmDLTgM6B>p}6#ZF1UA8BH$csO!3-#KOAx~LG=_IFaIg`5WEySm!SxM
zDnChn92Q-Sr;>)36jffHfIrI4ILX5A&g3u4!E0hNM?~O1!VRKI@amNZQAgmRKJj~J
z;Yo7ArGxN>q!iCNnEI@n!6EpTdxo0<9Q8hpl@pHKnUQG%Z~d9|;ezGHIJT|f6M;;!
zbTE}4t)v6o`^qqJH~f?OZm26<eAd}w2dtB6_uc~zFwCwef%S*Jv)zXOF%{nb&5r&b
zTyXwAJWM-3whZ6BBAglu8;3cm&%ydadlVnRC!^9b7hv|7;K#9W_eUO@Nm%!l%dt2(
z?VFLyG@ScvEZ`-4^?mb~U$ExiCcaeo&>+e2F<8m>v`02fea|&|0G1Wq$Cv}>XQnR?
z!X1*&?MmRcBn*bVu%MjR&T?2zQmw2HHt1L|sE5^6-*9xn6oM^_4RA@|z^!h$OHEbn
zGu);j*Z&3nKFc-S26M-{Dt5rC&z_#_f#n!JC4YhwBb_?G!|u~!_C$XDW$T;M@Xdez
zjUVA1Z4zvAuyts$Fp*#JH`j3m#(r059jsjFPq7Zy=3mtz@^^=O=Tgz3-ofxTuNrnQ
zR@b71w}*z9iTnpP?~|F~oMj%5GFW^dLXHid>eTJ2fM;1~qj=$)FG8dW;enz5MEK!b
zfmQLvuxzTXzc4&Twy^OIcB$jw7KPK+_gUn@ZuC#DOTeQ?&eyzwM{b$YNx|kv@A7BE
zkM(=46k#XMjC-l@DdzZ1B{=b5&uAJP=gFa~341pFRZW6#2ldRJgD?I(^yVe(cf&}@
z5MGo}r+N;@cQXxKgzp)9IK6<?wPTK3!Qbt|TOY%*JI{TwftjC_AAJhXlYZuRf)5yd
zj);J-Q3h1Iz$DS@OHuHRCuB@saFpSmf_t#N`<1h|;6gtc)<8Jp&2(Y_eE6=SrytCA
zKTakH9?7@wy#rIJa79GG<|a1l4)9IWJ=Ra*PUHKR9ATM}r^QKd+I8Pb8<_Tklx_-~
zbSsYcGVI$^ot6pHo(;WY4m(hrDZPaQE#C}V!l4<zVvFEt*}Ew^F#8bemvY$6vDm>7
z{?~WVs|9{&{H#eEKCrWD&llJ(y5KO8Z?2$f-wkg|M22d>F-1Kjz3>^|%sEZ?-fb(R
zA=vz@zqSfoue!AK3uY9E&r^dP;%=(Xz=>kcj0$j09@VcoxHv5E#%Y)~GDdQh@CDs2
zY53wg&)0QWwB(AU9PDEKMv#PFOEK=4*wYhmCD-xyWUyn3`rngqFhdm^9W2*DWpWhm
z-K$)%8@AWxtrCMRo`0cWCw~6;4=!OiV@2l`C(K&0a7P55-tJ%Jhg0=4e(r~lzBP|I
z0J}_7C<(%%r>Dn7VI4`A6khnU!j=2SV7u<S<oxh{^ObK>@U!otcAW6}x7Xce;l%)j
zCN8+yaJx|%o@osWqJyt|n%O!7H(EcR+6@bH-O|&6L(*i<Qo>Ia=H~R^M0NGI)G!D4
zZRJaF0!BPi*fDB$z#RTHGkc93&RzEtw}*{**p9BSq5Tx=U3G&07V$){!4yrS)i>b2
z4Jn;TSU&XKvJd>}wp`&f%%Y}r_8v^vtM2{-PT#$CHwYG2SMMHx8{K36i-0?el%KT0
z3Cc>ePhkGt3TquOrB1J90?a&CY}5>o^NajTf}PIhmAAr774I)(z+T+~oFCxoex{jB
zxJ#AWuMy7Mk*!z&vn4FcmcsoU%3h_g_v%z)Im|Zpqoo$ks=u(64@dnFuzwHl6jHS+
zf@8(2D_Y=to1}bcu*x5$rFOXX+@E_HME;)vwO+VrdM!B${x})NJ_MKT8YX=Vf6qJY
zJPG^0yImguXAD1jH3!QU+8hXi$@Pz}t-w#yvjXnGVuqJu*5QMt5##=_q3-7R&fQpV
zTXw4X!lJJQ?~}nC_0MUEd~4pTA}lcPc9)|UY&;a*$OcPXDEs0AJ6W9I;v@2v=0x3K
zDmRl7et0pVBk~43;`@*0F#J|!=YkWwZ-6&l6jsgprF#u-zh1u~0e9@8&$ox)9QYM0
z1q*o3Ghc;;R31z#!Z#l>->`-g&ZIt2hVPRtciX~qi|T!v@T*VEC(Yo$YBrwQ@TCiX
zo>{=$Hz`^SVVP$7H6yr^kMFWEoMJj_VgeWaY$&&aWkX2Hb>Z><z8l!WXAcf?8NhkG
zcQc*f=Tr+f&%xI&$EaR|&*ioboQIiYrJsAjT4%n=pMlLfH6(oD#P$5-vv9ZALhwCU
zO|5iW3C`r$+8+o@ki=N4!fT|jeZt|pq%n2!u)bU_b0kdB?6hAIzMW@u<r%zi$Ns()
zY$9Vx77tVED2~a%mt-i7U%??25~|{GDHHvl*Ra@Ax(o^UNn-Jtcd$zF=B^{KYg5^;
zT-f79*Og<i;DEJM8O-Kd(<B7nzG(Bc0={$0`H?8RYgh5DR#<rC{Okc(d%lpZ4K}A1
zyg=mh2bnv4gM$u|<?zA%wI&qbVM(L!i~?}vFS1L+aF<}d>t49Zd23|^-nI_<$_?x8
zeWN)G(@z*5XNBjMlg8%ZY|$f6*kPL^nzC!Kp#8>g2Kb7xLib--qU4Jq6I{zRElkRQ
z{ngj8MKtj7XFooW!{OTw?DX)}v4@=WaO=y%Ub|q$e6Jz~IBVBtFC}alx}TZ@Rx>M?
z+6l*|GrZmlw_i5fB8RDeT-6qVS#<W8ZL#9KkG;X<5x8>sSIrK@-RenBNy29z$MCEp
z{wrasM;g{tw)NkDc>|t_D#6^b^n<_Q=^Vc%71;g!fYJ)gxKD)p92{VH|K%JkmOx*6
z9v0@*C0m4*;;Lvb!Z-d~w4Q{E?Gn;WVEb1!AEx2L8LfZT@UJ~4`$u43D&ePgFz@ui
zpfT8b@AqkExRJhcbO65bu<(H^tiBj@W(d|iVAtmjvwdPq?}gtC%X!{}|0^1%`T;vq
z&o$pCe*UzxLl?}%{@(5ZTq`Bn(hYxTzES=NZu71@)CT7ZsT)MWTRwqd9kAi$^*3=a
zzYF>FC-^?|CzThlzt87$tuR~v&A3#!c;A`q2KYhWnG@--s^sq7jWE^Ge-Cru`!NB|
zHE^NdM}d4;w%}}g9entbuXj0o_kH=1a+qP`G*cC9GJ7Yg685!SvHt)k<xR~O!m)Z4
zBu()1(RaEf@T$72Q9ImY#+;V}s|Fok>V)UxzcJ;*FLq6+^})PNl5UwWcWnAlKdjC0
zw<{aInrwD*40c}77k>@2-sS9=fU}iYW7A<%mW~69aACLOpCnjZHMI6OOe!v7lmffj
zDY5*6=X`G!J%`;#*K@XDwINyd1o%y49vKBA-f#U6JfFaAmY0*LV5f7cy-(roSe`$O
zF!g4LWF)Ln(*B4U9^j(fd<^raot8QPi(9CghQnkMOPzvn8a-Kc1e`ycDR>O7Ba`EL
z2)}K;SbrQg&A+Ka#FhH*)oQ|{92qG=u%^Z_Q*BtmTf`v@K283T%mO~^cHv_HJor;9
z$qH`$nJ^a$pCa{0@P(-~i?xXO<W)W?KbWpdc~3AbFc2{m4kvWzx%$KAh0?bo;jaz9
zBp$$3tZxpygwyn=V{XF%raHB+;A-cBmAf#hHWf=Y%#>H8?*n%azsq?C(|6q}xe1$F
z+LM*QKbn15Zonu$C6&R2s|wzpaQnIUzw6-jmy+EsaMnGWM-6ah&p)Z_us$pIuU6RN
z<b3QESS-HWuMHmYELeAh$I5PWeuGILCL7tp^^bNte}|1bZOSjhK~l|i!*E}$Cc6b}
zZf1RH6yBbqyJ-a<kLJ#sg@be2PwK*F-l~i(!6Y+};`HI{(4Ddy@aV)W!%0{&{NQWy
zJ(%w`zjT*^_v?<Y)4?f^I;J?_D<fZR*x@TIH_vgw9TCq;`QVu9>dWNtQ;X3cA-Iml
z>JtUL)tUX{7_8LFDYygPr^4bT4zKf929v<?O8qUea6zo=_+J*B2Ow3xd<vdhVK}=9
z^M=z@sKG<rwdu?7&jc3(4LB~yf_e?UpD&rI16Ns5IV`|?n4YQV!wX&M%}a1wzE#{M
zSl(JoXd2#cQzLExj}J_S%)%?-!4K_W6W-v7QJCS;2>(^s^YsDE33yXE$IA_-jH}5Q
zgulm7?D2q=eyuqZ`O)_hDgt2<hme+jI9c(J!9!R>1mBYZJNndQMiTk91))8#L=cl|
z4E$c~{M>h#Tk~gJJp7TXTk|WNlyU4tB3!Uc$4KOx7Buz0gD0+sxwON(?y!63!Fql|
z9i4FRhmqDY_-^*gBQ5aBAu;<(Sh-Fv>N6}-uvO6j+rG-3`vA-HXc#ua@2STNnqfB8
zU)$f{X+K@Y_plm|$n)=TK>Msak$=>EeQp?zT+!>Of@xkT1dqZVx^v>S#LwTN8<>U7
z51)@Jh2#EQ@LqtY`2q}y{6fjueLI;j{)YT0D1tBW9IYgUP4|1T68V?>HyLQ*CB<g<
zTsXc&E{h)i@0U$?KHT=2W(ONAR*)y21!o^V^PB^|U~x9~Elm5GZGIo@G8Fy$H5}lp
z6TBbR^=c^1gmo7dj!VE<*OlDkVZRJBdl}eFy63+H*z*06N+tODR|fG|_-T-(p(=bM
z_4SiyaHi<-taGsGV$V_}eB-p0>IK-S#mOKB&UX`kei0sNex4r+Q*>LLFok!#6J>b>
zdq*D+wt<B$4c#8VhN_nYF2j~u6I~DC)v%-9F0eoz&2fL&EW&Wlb@*D^i^uojqt?Rq
zKJbUC^2M7lN1^u4TSR{4S^e8E&mIB80Qk**U;1nCzd-AdV7Q-Z*Y)dgX1LVPD0r7C
z+m|bFe2$*aV_04z<(LzEQ%U&C3wT27UAQegR-ojN1oNs$EnJ2-J2<M+VU@q9&RM{{
z(MOFkVUNF!Iacr?Ig0Fjn91f7tqJU{#i>>V%Q)#=y996DU3y*xs|THH)rYGGNhE4v
z%eby1MnrycUvLxLeYqv{Je+=hQlJGEYU;f}<Qwb8f9``b4m7>hg6*!Q+Yi8fH_kH<
z`IqwVR*u2N0aDKD@MoS7!%6tKrTTFqpHxVG$6t7PTQEWe)*w-R{tuQ8%UM)|gPM5e
z$(XTT9|+M_fR8Q-1XI9Q+!^yu!`aGP{k!2ZuW>pVIInVt_a3-_#o1L3z82Tl$_XpA
z%6~oqcUtvb=7x8>*B_OHKYuE&H~{N#7)=Vo{K9YNg<+?(Z<@kzw`_=tILsLvpTQ5m
z|9W>o0$xA7m*xOm;%Y8_3bs&*ZD4`vT$SvVVfR`_L3X&bcweO^d~mYqJ_F3fv)fP`
zo_AIr+XGWB%w-zF@6RkN(ZG3Wy(-4AQn$-%I(UM#JkAR4Z1`Zl#f<s9;)BnZVRI?j
zx*dq$QFq|K2D4}la<3zP^Rq_fby%fI|Lz8yZ6U(w3kM2COV7ZgGGi)t;PeoZ7jtl{
zXLDQ-Ed1^H+89jHnj#(okDR79orEQ0f*wZ0X-r3$zr*dcM=PJgQnqoPKj30N7RF@Q
zb#njLE_ip!NM;Hgq7)(V4OUKU+0KL$1LNizVTxi)@m$!eVf#We{M%IHVJY0lyg^j~
zd%Aa2RKe!bW=>Tw)B6gBkMK9YuBIYb`{d2cCb&6M;&3S}%XoRa9X{p6Hj)7+eC#{k
z4cFhkp_T=o(rgMEfQvQ;QeMHA!f)>zf)iL}$<tu%1V_(F_=;+>RU&-n2rt77{LWzm
zg+r__KGE9!fm63iZ$-gV<yW7r!v+)#KV#t0ZR6RUEEs<>tDgqIjtiN56tL|x#=j3>
z&Y$rfyWwkR^76gl#V<cInBn@pJ6L>Sef!Q$F1V>D^7B>L%8*KoAJ&QLJL(L3Kidox
zhBZvhCd}Zp2ZCis;kC6_XDwkbH*R_<xVMd!R0qzpkU1?6Ki4(3(}Pbei^ZzKmrho3
ztH6#!r$3#A`4TtosKLp6vOIb)g^1vfQ}CQ$b%_By6mNU#H0*Pxl-3-++86R%8qWA5
zm1YTF)NA}F3x}N*-*A8}s40p>;1kymA8~<&?G@OL!p*LN_dVfP0~g%|VTI{LE+6=Y
za^!!9U@_15>;AB>Q>qw0d`p3WCIHsz{T{O)ZZe>=41<r^tZ1^pLB+GtQE+LY&^tCb
z*mGt)4vt_sM$G`P(p~g_0aIPGa@qsy8yj_}!k7GQnyBGOh1zTB@Q2|TVLDiowYDJ#
z=2i$D-ef|(DEHxNA<P+AqOt>V8L<$pDww@3J9!Op&(X=z8hDwjhhzg*S)7(>g3Z{Q
z%zqR9bEc~qW_DSsU4}hEH4lA-2RZw>=HO%fuj~JVUA=eRS%5!mXRr;x@!iwkCt&&H
z9eIQBrYy7kG%Th~wrdi;qxt9AFW64rIB6PwSGsp&6t46%`|}$P^jR?+fL|Bpgs%|!
zb6jPEu$52Y@D`kExy0NH@7P6lYbPt7S3jFqAIxn?)j<Wf?wIKO3SSd5yh;n74WyOm
zhX2rBs$quLjlV^Hffr7uU1Wo^6Zi~>{Qm3tBtr1+9lvs0;2z42cwxBc%@L1wxbg&r
znk-xzH__e%7fEUVl!x`-oP6>berjM6tPPJIoLKk(Kl+%&uLHZkkSc11uXkm&TEX|y
zhZx?&w)yjRws4u4l_U{&=-OfD2ZyF@Mc2bQ@+w<*;6O2RCF1%FRxEVNVRrvt3B>ie
z+on%d!uz&%2Y-V_qH|)#;EPtzMSsGqVb*_t!G6}&#l-X2t6`!|&W8PnLwcsf^9o)k
zD<XlLuBVNx!>8!yDfhz;FI0nfqP;MAL|xklAK6ZsCWQl>f*TIOyZMzPX<)k1gNFrS
z(tK(IqP;2%?D<a;K0~IH$O|uw%BLKMFBnwsAo|1cPsdhe;BHH+*F=A5^{g?If^~Lw
zQ4swtB_lUq5hfw`&K8F!>}5Dk!OMT<=}*GvCJwo%!7U4q3*=#ivUgp|aP^;9d3D(Q
zzO|4Yd{|#?SR1yc{`trn=JitYcZ4tfEDHVz(_C@>VFT}IR1^3F3$-kr4unI`#5BsY
zV?NvQdn^n#EL;+mg{>|YX+*$hM84cphVL1c%*DbUZ-gcl;R?~)I&pC8HIh>raKC{6
z3NhXqY#F7h!Qz_djEV7@f$7+~HmoPDvy}-i=ijx^f<Nc-TfK$pSd9wx;hz_Tvnt`3
zjH$cl;ZQj;`WpD6Z1sOeu;dM@i(lZR3yLYaFk9Djc{@zT#JFk#hc(T-8HW!l6duxp
zQ)<7{PQh39_}?~#9b-B+i1%$z^j0nre=E>pPD;F=JsZg{!GePyNs0G&WB7!lF`Q8Q
z;WF|5X06SswSv2D)YB021C@!EgBI|E*B@Qj;Li?GH|^o;It@&`ux3iekS+Y|PH(RO
z{3-irs0S>n-go;jk>8`Z=tkJN{;wizPX2eg3U;?jHIRlQ=9U6$;q!;AR8?X6)MU{q
zxJpheSsu1Aif^2OBd;F0YXEzXbh9dQV1KOE?|>N`^{@SwJnXzoIz!AKDTHMXYQq-x
zMp4B4RP)4<Fip67BKeOa{H$$oP!G1!U5;~y$EVuVbl^ApRW?0f^{%_|#&Ba`T#6r@
zxWjR$5j>hPOMVxomf|$DfFFxKyAS~v4iD}#fvZ0JDTsoVG{QZtVU<Y@<2X3F@yZV(
zU$Zl-l2|Y7zr`%(0LS+kP-MYn%{Bjs{Cw%!tHk=l_?^9uBka**UsMVA+}_E38GfGi
zoxKM3jY_-j0*9V#qwI#s3}#b^_(;k*rye-N>(MF^=Uhx+9E6+K)y<q>t9Sc6hGEmI
z<9RpW>ECXgQ?SQoJewOVK=RLT241X?cJhT+PiYJMfk`bVJG@{qVdtqeICqrq=0n)&
z-unn*{atXgc`y*RyRv9Vtk;)4H-ls0o&B2sXyJja<oOu5ujb)<MmXbI+p|>otM<49
zvHrg?>9q9{ZWat{-3tpIB+<)+m)}lb7l3<npO>b?R0Rt!gkg@Sdd0QyJ8vVU<8b(&
zk-gRM=J`4*NjU2R`G+s?;xUn&Q}7sblyEDo6)?W%G+f}%d#4LFyQEio2L3ekdZYuE
z>xln#9u~ZKc6bV|oS+Xjg1?1)QlEg|7rnl437)L@v9Jc;pWs@tfi(sV3|C;Q{Q4>f
zIO>7z_AXAmzjvInafRbwe6uBk#T%D|Jz)CMAvzY=?wDKqEx5Qw+kFq*xS@OE4jkRl
z(Z~s}n||#j>Pg#^(xU9}igXzHBUtKurLY+Mu$L)|sIO7Ta7P}2FIG%;zktnIo`$Q#
z8qd9NrNaK53ri~Sj&x_&T=<f&L7WTxg^rrF6xM2az2ykU$*WQ~!27&cQlG#UBJ(*d
zaN#9+>KNG1g3G%dCKKLY@Cv?srJ1`2Uf8x}e+mCs6+HVBHhfURQVyRu-9JADYaChh
zErF$5MM{bKZ)^2ufhPFvu`x5EzP$6|&fpL5)pC`CYp|qQuUI#{DoxV54QGw-dioU(
zufO(~4E5_EtM3XUu&9}s3@t3&zw`AF{C?yu2_u}+(td6Uc6;ugLDb{jrIzyN;Z3zt
zTB4r+sKAI~4Yv4wJD(r^aqNcEGCa80#7gWJIIn-J-GqNXj;s`crGn-UY`}3gVu4~X
zC11f8n!Ok=_H7DF!?TGE;#6??eD-f*KSV71{tphguIW~sDlEtqaheU@;3Pdv?7w7o
z?u?OwALJekREN(G{uPyl!-p>BYr{?Q^oR9f{vWQiMBKM`*GEJ6l|YZH2CV<Wn$rR%
zX`O054J!m)EV6?8xpa=Iz!$m;sjk91-OYpL;A;#SsZOx?=l8Rx;L2&T^&7BAddJJ7
zFz=D!BfhZ2*zsM*VfrG)`}g286Qaz-=S5@oTQ3BDG#=zl?0-<?=x0R3FEmwTR`GnE
z@`S%jf?Mh$6W3uI-`^w|@KI4q-6^<CJXGo}JQ$QwJOlH}{thdG>3=(1?S~f^{p!o%
zW5?fqA==M+>Nx9rIAH665YfIA>@)H{zy)f}Vc+3^v^~4Nz)AQ`(N4Idq&>ME?qM7{
z`yXs{Uv{|%)|bvr{S0UQT8Zd`qhb~*iT3LvYd!J{#@CTsH^DVioOj0HZ!H@io8b>%
z9(<jHkG{I+TLF`7%u)V<)2FHjs^F}UOJ@JzKQlL_is1+f+O;j%T)yN5(Vu(;e6=XJ
zFkhQ>St0tH-u%IFDme1<Xmt@BpG_Lc3I8U4!u}4f9eXFt4HxUt4-xfyhuF}sqHr2>
zkxUlce@epT7+lqMjFkBICI%VVPQwQ{+Ad|l>8oXV%5dcAa|hnSykW5>`mi<AuiHd@
zUx-nD*%0P?W1~*&2QWP2NVJDlNf(oedcJvRwbWI3%vp?_$d6+b4R?djc$AqF_54qI
zZGs-~t`HePBLB;1c6%V4%u#-qsQ=5yo^yN%m%slzLX1B&DU~&mu>TH^Q^fdW@Y2L2
z2EI~Im_pS5J*Au9#l!juhyD@u`lKK`jYOEj*ugRy-ktqlLK@7p@U1KarqghddIN_P
zvhWc50bkb#!t&s}wL4ycaN6h%!9sZALuDUP@2}w>yIBbfl<bor>h0EMKCCq`d$?KL
zJ^0(f>8p*f_2H@|Usx^oCV4Zwn|jUA4`$jmXWR)7xMfli_4WBt@`!IRo5YZ_D|}<z
z=hsj8>9%+yG2Zve@4P(>dpBP>Ow`xQT0A<Z;N{aL0mS>^r|Vy*S@;&q%!D1x5qhm|
z8D5k=p=1t|-B~nUgV|Xf(k$U82kdiqaBJcF95c5s!m<uyXGvkD)_xmPSUCPt5)Dij
zZ^)_zpPJR_Vt^0W1o~>j6D^;FIADfj^CAlH9?pC-9@w#uBZ_$c`KBJuKM4P4bY@B#
z9ubSzIs_NexM|D58E05tiovTV;?qySRr~MBo`8)O-_sE9*RjTb5pu9o<GAfnICbf=
zumT*IWEVx$`!$-n1uw#B-~6VIz_xc4>rG(O^4@gfdR~P-VtfK0e)vsW9qwD@@`{Fs
zsyCX6&y#aepM`=4?eSNK0I}aNF4vty1^>0_RwMR9BJ5=JwBRMts3a#?>qqUZHmq@2
zR*cvmkxsv&;0lwkh4m26^H%;qsxxfWIzvvhm!%P=ln3x~pX%E%xUSZpA^<LAQB#P8
zPv2rRehv4AzZoOi{}!cJbqbuuaF&_qADP$UDk@+V!G0$q9&=jKuo~WbM6HSFudSNy
z7Z%`T@diHP{VPJvJiP?RN#v=Pz;@48!zFle9;BZsF$YGyUq}jOz2N@79=?3uuEiG?
ze_p<q7=J?T7%uz4ee=}b#D3(3L1xPwSWQs=|NDuWzv}<y!DUWzHZ6$Xlw#KU3QP7|
zRJ?~NC+o-lgST#YXcOb%qww8QtFR$YNZJRuXu7&{9o}EO*OeImp3~Ugq~^nZ#fV@N
zaXo*(F|yLZ>g@|6ME;R1+p8>a;hWWfDwyfxZgO^*Cb4F+2BtV@W6TE|de_Dg<5jX?
z?xO?nns&ezF}_irApa!_8-H-zMT{4oH-6?zz>7vgj*0N9mL$a~ScR^E-y0U$+C{4g
zlkav9BKj-)u#Kf2%%i{*LG-UurOBhFu;;(>-*#}((wP7oIGE+s2GJjC40H4xVVy?<
z7CP|9PR0y(czv^z^)P(cfiL?md|g#3UkIksE;aIod$%LYi23TxJ?{?^aq~$UgWYh^
zE~8E_ScEr<jF|tj2LImW2cHgLPTs`)ST8Fe{|5X|>*@J9c>kN-<34bTsKE3ze0e<~
z`a0|s{Ob7+IMa=-(UXXeN}eS4Z#EZF++1L@Kda%yehhh64=s`Z<aN}cc6ckvy3_%-
z&(`&Cf_bB3bcy>@7>_O`_FH0)zj|W=6T9%l`r$0|7iBY8H+Czl4E{2qH?I#b7c`I(
z`yolaKEXz?Z?tPt4*Ydv^Tc^rBSUgE9d6v<Y14sA`zE4^{g7P8m%bWs@nr5)0ulE`
z^%JIbvwuLWZ!Sxns#S(hdmkGh_A_1?8knfT-Uc&1#QJEbbr(7De5dq^JAz@Gh_NI^
zcstO`ISBThu+fx)^KU7AxC2uhxIQWae=Y6!=L>KCw3icxO}`}T6YDoc+H2h+a3X_3
zm<uc`ZzakFlc??)A@&>OjIA4aV9L(%JH&p3fM>58D_px(@$C|9`tm<o4mfBq)}7dI
zV5HS7Wq{+zomzBZe>EjtCYVc3%l-mPv0b!D^pBo1E38C4|8H%q7?J<#??C=3cqyHt
zp8_@&G%6?R^A^penY-bgH#H53`nyZ*0Yf4laI4IW9##^{6CmOYZe{B<@GVi!wp}of
zzcb|k*7K}~-(MlFH~W=|(;z%QWLZtz4`VQULk}$Nv-jdY_)k8WP#;`WS(beWPExMA
z^A-O2^12%F`E=aK`1K#WeVrlx1pKm^Hs&LoxXbH{G;GoSd!-33zQ-n@1jjRLq?N(!
z4A%|S;jg<ysEK-okQ7rE(LUT%-O93I>1vAsqCM?l*Wu2A<)TT&iS|aV^RP7uo?uYE
zYz^-qvpJRm4@XXvUxiantOY%X6^icbJHu6T9n&x1p}IqFJYfH3E9ECJ$%%R;qCZxI
z%A`Mqbw4{iCHmv@Js-A+dd-ROtz-A$`R^~RqhaBK*MXt%7%hK!2;5dH#rp`>{jtU!
z4&QJebdQCN%e*~^deGM|u5@wm#m5KbiTuyywZ(5>x8;P#_h5<p=PzW#Bs)FUh<bT+
z<!Wjnyq9kLydRv~dH+-iT+CZla0jk<CK6KvH+LVR@rJ|x6^Yct4hvf@MEzX-yoG-=
z?Dn9Ao2Xai3_29H!4!92_!ISW`=3nsO$+RQ(_cPG)Vr#pT_{K4I=4g5HDG=G(STW4
z+?+l6I854Lc4!%1_3a{+fWJLuxV;J6J+jU}09W7d$|c!{_e}^Vs}LMW8ca?DuRM)w
zV2Am~6{Hy8N%wO?d*OjSD`D)g(W3`<m|){ct%G}Evg^{nh<f&ym!vlZV7ZgdGW780
z4@S%f;S^rpM4~>pLcROS5jdm6M~kR0p5l5JFAjS@7tAH<i{^Cp3$pMYHFxtrs7JE1
zuJfOUrRKQmSKuQB1zs9(>D_Ri9$41t-48w3xlH8VcewVqlh`FVsLgqx0{%>UH1;wa
z{ES4Y8ZNxOIOPH>*X>?-2WJn+bKigk)cwP<VZ$RnO^&cT|D&iUa9epxj63{Hi{?lS
z?7&H?K*VpJ+5O`_OxLpix-0BF|Jd6f{%&l{<p6WH$F}*vVi#?SuEG|r`<%SsixRPx
z*06A=z;#Rb?ReZ_B3|NFPG=6!bv1Qc!9njoADG^Q_h0MBmWS|cJ4Ns;{3$PkFABDw
zsysOW%Xl2njfHo0FU1YQTDz#y6XEd5XX+jBRE>AfD_F0fIrA%A_0LQ+8y>2)y4V1_
zXV;qN!IcgX6(3>BC+P)cu&OKDl@ho{W^<$(-oK)VeSeHMZKKkSa8CFZe?B}*9@hB@
zzQ`f?pb%a?=pon%yP5v{kqvibve$OO{WH51bKtOxBrN^#-QKd;blB?9tG7R49|<Zm
zB7cs?%V+_vOf4u#g`3W>E-b;y*ZNqA`~<%psvGd;!@JH&unR>(|0c|1)GkispIo~h
zM9+`<%5SHT7cl7@EgvI%Sg7X0OZdgtp-=nZUNyb+IM`m|ruBZ<csSiT5$@f6fmQ;x
zy)WJn3%~3iPnCp^YnII>z&z4vuP(rM)udI3_*|5{oE}_9{ggT$ejvs;W&<ldq_>KJ
zwO7(^Uxv@nrGz|(6Mby_?!aG0=!T-<>z~$G?!mm_S=2=QTwnonJRDL@V@1RdS)O^D
z04s$Qgb>%8sJ}D27<OWz9EyS;ls{1^gSmrlr4!d9S8F%-3Fdg*wD|~TiC%lq3P(CA
zG!WO*6V`OBAJ*Eq#~B7EHyeNY2|twiHy8<fmmhLpfPbHrlnjQC*p|`!hN&oSJP(DN
zlU`bGz(#d%7Vg73u}9W7;cIRJB@f}5$J;6N0;t!%yFlj;o2`b(GQt8MTfYXv+|#C`
z`{29x7Z2Tr-O5J&_QUift_$~Ii<DwP3AjfwOzkH8?8m8ENjU69%Nswq`LQ62BFq*z
zyzK#h-23*e60Cka^$-z1bizK{6wY(cxkJSFtIepG!_EgK)O_J``l>k>m~K+?g&Q0l
zrWkY`KIH!*jJO_io{vZ4VZT`25eryJt0C$&%n{1uZw6<$_R1x|BQ^y+r{F(-pCqQk
z*+Ta{<lr2JG>s%UGthniHY3i%7Mar)!kSg)b^qW#MZ1zLc%O0(`v7ceYQ<g*t7*O|
z>Vqf0S-*b^SN2}I><Z5h{bKHfJ<kS`y1*`+|J8hg$6jZVE5fZ*kIwhPy$Y@lO7LpP
ztJEPlH}uk#!|?3;^G=iSr5=t}QMhHdL){|mx_h#f6^@W!ez;EL(<dF}fVuS<26pbp
z{gm1FEivHxvpA{$qlaZV7)~w2!P3IQZ1AC;^~n-A>ub~aVfbO))u1A{qADp`06th{
za6Ap(H9b%#1S=hEYkLK|k{3Af!3Tm>4!nTb>om!T{Ejp4>*L@8VV)dL*gsvGJsSS_
zCr^zVF0HC6ihyI^-dkjbPq9nTJcOAZFa{IXL(6+s?LK^rEN5UB{4DW9{7qQ1Rnn6R
z-p-!v_JlVY+FRCezfX0ph+KoKZ|T`=z-lL@$sOSL+Icp^FzcaO6HD0ro5;opEcw}>
z!w{|%IFt4sww4?}cplC+uaN%;>+snhItI4|J(x6xrING1O2Rxp_URhIH{~`g_~Faa
z6}q%=HV;3wFwD?)se%gr%YUJ2FRa3yTk#G3X>!=gUI0G$On?7>@Z%=h(_C=zgwOs;
zm~Uv$G!Y-2;SMMIKkHy)0};>iIvt)2o9ooO?1%ZtN0*85V}@CupB0vK7FcnF$84or
zx#9OeKbc>FxkmS$*a-`Tuv(DAynfap>$~y3&#+#hfVIe;+AhI&U)in9VZ6ONIZ!?Y
zAAXz}z6jsrVOkx9soMTw#{>Oe$l}}ptdJ|~`wLcicW1f}mhBqe-v`@=vps8t&kyVB
z5&7&<iYJ?4Gs)G>Z?N~}u&{bq-d5<zcUYsQT(}nQr)*Im-Y@l$6#k`fyUJ=e@qWoU
zCCgh3lSx1GZ-v!qgFW8CbOAN&ZLrqvdZui+uhIPdNBDv#-UV>ho211Sc-Ly8`Exj#
zNAAUY_*UdhVKnSeWFSuDD_s`Xi-fm)7W%7Tal0?uci{`aS!jv;^iuA`+wi{0x5ee~
zd86X9*WlW|x{(_Anh^b@6WmE+6j1_8czZlkgE#CH?=`@Tr+=PQfhBF)L@MEkI)QLG
zI9|Q_J@Ni^{26^%299~G=~4_EbzC|k0KZz@JWj-upL}cOgVT+I`io%pEMp%=*j@1y
zO$E$4`-5#aywuT9ln;x%y40{uPt2dM{vxjDr}c#OCj4(@HarI|EVJ7^2Vdy)uPB7M
zSJ&T8!(AUqE)(;I+d?_HUGQ|UqA(G+r9FSX6E2LZ>dJ!Y`;TN4!1Qr<j}q6b8`-ax
z2hToP>wOD<sZ;y?5-yunq$q&fmNui3U=6O~yi7Q2qJHWwOnrlymbf3G$%nzW;lZZ?
z#l-*L{B}g*8r=Hy`7dJrLM>9z<pev;QapMCYb*~6+rej;!uAvS_DzMKtl^o`)i1<+
zs7HvwQxEpKu(Xi@7x~OE>%e~mP1BNLwOgunr{Qubm9MYi;j_Y)3NWWqre6Yls=%;V
z61HDpV<z%5yA=&2;6aUB)lcCRkGP!&VZ9}d=@)P#Ygn=XT;Z4X<T0#xaafBPc1g0Y
zkAr!=`llJ;j!Pe%i20qIsn|0TxOUYwj+ozdubz<H0UsW3Rel7EbeM;)(c$;;O!j_{
zgahmCMOI+p=N<vXe33pb`raJe#Z|)@3Jd&9-Zuk3%Vzs<4<65N^%{X6oVsKh2p60i
zWF3b6cnZk<;36J6=kIV)%~JdwSd9K4Z4cZ(ude0=`~J|gZimg1@BQ$BQ~BI>eu3-w
zx*uGJPtGJ8eS|{>Y5qUIrVeaac@GQcnKcsg=ecu#v?^iMyN}F>`M8}d_e>eg|8jtW
zn6D@8)K<!eL+?;067%UI<y%8JaL&TTGnVi<ig%J3u>HWD0b)MAl`z!(8tzPLeP{x&
znKO$f!h<j7c+6mhv*%jl;h1;QpY-8mN`L;x@JhL%g%Nz~Oif)ByvCJGbsj!T_J=J5
zE|4ls(t-1yNtOh`yQa4_i1o*kjx*g|n1_{VP!s+oQ=IJwe_%HbQHJqHp-DVpSv`9`
zHJItBY>GQ9otD)s51;$xw&n=aEEHNQ!b%<=pI(7&V^*o9;2nb7vsQ5Y%to>de4XxM
zxCN{?D5rTGF0G9EWdzThksCSzzg(TaX8==%-wYLjy;FsI&%vbRp8Jl%U&SAJYr;Ws
z1uX|*#eq*>l;K&vH&%yWs`}$Dr{Ny*QJQ@)<JD^o(s0^~|6U5f-Q?P&5^%AH#>yV}
ze%B*oQJ8#7Jd6eQ3L{$=hDDbgPtw877uC)Sz;nSmt-E0kySh0(IOI!^Ck4FsD48k;
zT;}0GOAY7mr3he#&(e2Tu48@bNUQyw7N$whTG@b)uUT+V!X{O_HK*a%yR)wCfD6?}
z28s3V^=mS_w`j4xFkucQ*25_Q5A0Up%YX3q3E(-l{M1GG;UWB~8hBifWMdL0Euy0N
z4qF5zJ|Bm5zeyBz!2EUd3qN5!x4&n*;N*=H$NFH`kJ?G^VTns255B?&_2?u%!n#ie
zK74^s954$mf-AVBxEkTqS1i1x@ZXe)iU!#IvFxWD__UDno+|h{|GarV980pER}K%_
zFi~Z~4T1WU1+eSR`b46>kV*Gh{T;jzv+H*}TvZ~Hm<FE{$a$CutJ=-Wr@~imv>hkv
z7wU8u9>0K1ncSP6!JYK%C!WJxMNw{%a7&?2NHm;jbBr<uHlbD*j)WNv&*g`}=ij}#
z`w%|OJgy!N_u^|YAHW7iBufEs`}$AM+wj2yPlJMBoz)W7TkuqAuGk$|`ze?64cI7F
zvC$tEvFpvg2G@MPwwI_^o)A$Yb%5Ct)^mw^>!8c<J#*NkUdvb)o_uG}YY5Aq`7%e;
zk8BIsq}AXa7NsYg@R5nch*PlndWkSM?3Jj)zz^>~drY7V_3F8(f0sF7-_^&Z74XON
z>cJZ{_<S6*P0quPXWfsJBL4W4;Rh}FP1Ui-ONg5cD>?3gMX#&K|Ao8r7XI4}OK#g$
zFTfw4^!v@BUOzs1)qV}0rVN{yhFkS?&Md-Q%s0n6VaM3Bi$vUp?vPG9{F_3ylZdnF
zv7Rr1U!@7%T!;NT-<K7_6ds=|{=j$2is@2e+h_T<|KNz1*4{7SeKp3fS78-DgVsn`
z(f*|NHvISV_Q^-E!Pw77#PwPyE`|8P>P&@_B)Gq7qxfZCxMa%0dlT_au16YI;qVuS
z_mLyscS@qr9=_PxYqbN8TN9)-f(1zvs3~FX`=8zPVUFW}GKqY30ql;!>a6*Cbnwyj
zD?u8BQ!F17`MNb`eNu2J4XZo@JiEE2dJ;}@aPBAaS@y5bi^6($xF4{<lW(7z9EME?
z+z&Fre=MTO1mFiLJZ;4DqmnpsjSmhcy>X2lUUECc!48XgaIo{i>M`~ASzvd&hKqaQ
zQ%}mik-=7%tab{(+B`Z+Byj3<@k=7#cvx#@9s5aqk=kd4;QZnt!&P|p$9f2n|Er-l
za}55xD_Hz6yuH(zWdt^F82C!$3us-b>4W>?9c~?i!@JfG^};@;Ra{5lpv;x8?eO!#
z(;p;Y<=X+LzQ89RO_Phk8o9TltKi{h_V1+N)*0%}a>5TPwNJvmXDHM2VKoKuRe89u
zJ&G|G&eiCblqT}&!|jsbiXhEFMc8|rx%~w!oSJ->=nsKIdwd_m>k(9ki2m}3``Jho
zti4)r<usgb|5(Z&9(7>eqe0};vcI|w{}QUxRe@K}GOs$rdVCxkn((`eu~v@oU#TWp
zb=V;^x`^1XGc0Bs(T4x-Wa1<C^DcRPk0II*g<meED)uX5_WqtG+W)W|O`<wnyA*L@
z0;YfLpiBp6->b|Rgh`4@dUnHFZNdvp@I+V4%}VT-pRK!brVf6%{gt5x4(+q0D}Yx9
zNod1i#;6**Ecii))XNCC^`uZp5`1*G$C4c^^DuJwDa>f_GROh$-8w}P29MD<_nd-R
zW(q9=V1>mQ=hJY_<#Z)KnDvE~qYyljyg%LpK4;*!<1qZmN1oRSW)mn$C(d(73w`ji
zg?VF}<!Ir-<8=Q_V4we1eof&#NQ6O>z8-vygv4hSrnAU3Q-ssco@~s7C1Q+=rQjP?
zCoa8(O&qkX1mIBezk1eiPZwkPUO4>a)PybEo%pt3jvDn_y<q>3I8S8MoJl(li?3O-
zeu7D+J^t%~8}n{4JcU_%?jPxZPk+;R9S2L1GB7p66**cdci~*Q15WiY%iBGY_u)>r
zQ#n<zQMYXfao#Jd!-%pN_HEkF>j4+EPrWICe~h*?5$DC`M9E3B;k3yIX4l}Sw-Qp{
zzzG*cDC}YRp3=>iFs;jQ{1w>W(=aIsetzVEsuj#h60Q>oYi5nO5a-kWv5Nl=hf|XS
z+0Ef~HEpd2@EFCBx0WzH&FjpE@TH@VNQr;%&GEsa>#%XBdz~xHo_Un{2Ao{o&E^B|
z*s1o>7WPb`I(-{%(2d$}4>z22dHMi0Eqm5&1dq`@t__8)Mt`0#fhErVWql0So#+qO
zg^xUYm_?jd<F^)=(T8g+=65E+U#<44o+EyK%{P`fpB5fz`RY8Jr#U?H2FAAx7%0M3
zN((GG@VEAW0wp+H-q@)Gro8aw<WDNhkNCbU_rOc4#XUb@zg)wlcKCbE#gNZ%3(HdD
zfAFY?hDZy1|GU@q&+r?4&cOHZL{T+4k$;VmL9h<?Y*or>gk`0M@07te%L0^};WCx}
zeI@YtK8o2onAO4mYdVpC&X0x2e>)xE@fzMc{jZuhFL!pr@Jj;x`jD6&ksn!M;TjK%
zbL9Lhg*8i#e~N*vuM9+1z_Q;J9i!mynI<v?Fvow)4Z&~@ZQz$8I8R;ZauCdvyzTWC
zE<L?jeFqL>IzXEXFOafY`N89B2}Q(tz5|=nWgala?P?9;yx%{1>Pzmhev!m);`6qn
z7%Fsx1+;X6i1UJ74rE4G;H&?AJoW<iviy-_1&{mnHzdNojO4l&u%NMy3-LV7DF-r*
zU|l8~5~6=BQqrC?fMXT^%Zh|Kwntx|gWYL|6^QeRlIJ<jXu?IIx|1RB8<juF%CN>2
z6Tfiy!ib3SY50lEr-Q_K$C}r}f5hOc>MhztzG0=n)1&ZlZOJu%_|n6zc|q92Pb@3|
zcAZm+J^-KZj+eLvOPl>wW`!dj+%qHcC1o_mnBYImQ@e=vP1-M@KnwqV(*67<>`CQ4
zL<L{>lv8nse;*Ky`AdoR+f3o)4QqZ1mRN%|2CuTX!c@w(j}~Cc0*yCBe{Ylccx(<<
z-J7L*6*k>*b9ev_+GFZV^l!4OqX9o)*W5AzqJM8!ot~(ImyO2VuEP&!%R?&Q^d&_u
zqJK(zS<7X^Ln+nD#Cg+{wc)sTFvn^8=bo^jN$ye_yy?5|2ys7Wc8EVog$-)Gz7f~w
zXSH+g1-wlo>PXyAd(2JEB$)Hpw>si}V<TubBj71{=}BTdyPW+rDI8uB4T~o3mp9g8
zEfAI_J9&`EFV$%`cnH5ZHgby??}E(rD16}1<RhuXdDVSO6K_0Wec9XRh<|VG-4#=N
zSnzPk4dQt|FQeG9h5y?i<?(|zNSh4J;P@ADd3WHQ=8o$o@Qa!e6XHCqa)yYm9(>5n
zV~)7Lbe;eHT!8P6S3e~_ulD$-=QQB%th0xS^R^L>RTtFYAou7l;(TxF0HuZkoT<U#
zKzx2>2P>!L;8Gh4Mq<3IcD<`20cU9rr4r|b4^T>vABQ<g4`>tPrO%DJX9DoY-n|}n
zaL2uSvio4gTV_0FuousRL=u?Go6U)Mp3c`xH^|^QweR)B^FB@@_;#5BpGS1cByoKP
zq6XA!a44m{B60tU?S&N+FqJC5{XO{J*8%ov_?7iU717>huCaGDz`KszNhID!oL^6f
zHNvCnXP1fbQ)^&{Y%VO*%alX(_xZ)y{<m=GRn?0`oaG2tL?XQ3r}#F}zfBye{)>Y}
zyqG$O{y38GN;Dd#qEWFW`m+zmOV&_0V5!l9xIVrYO4shgWfqG|#Pe|>)h)UW)1OvR
zCGOAY-71|IJp9VOhj<?IH%FZ;V5_MfcOLj|c*X}K*w$)x*FN~F${LLxyee_Tm;si#
zU1O^We@u~^*#jF^&QfT=huKV@P{ZjfMV6=GnJ2bFbZ}#2K$S9_DX)Hq1r}1IymkU^
z*u3zX6JE*dY&i+1YDxU#C-R>c9ASq|F7uudg>OH059NekJf=vJfTupU%hAAl=EfUj
z;Jry<adhyt_Z@qcVZPoIOXToHovL@LaMGK3ZA!Q-FP&T)4tX4%z61Uk9Qo`5tY=DT
zMdV*@vs1HzMcPuzHg{qENq4T-2A(@;5ln^n&i?*TV!V5oH9oWxp8M}3PbAC~Ce_3Y
z3mER`?u292KV9R3w{Oxbx5IqKK8N<fxoceugYZ>(`VJwOkGbD$08X5dFO`KkeZDd8
z!+giJF@k~kd{h*A(gomArekYrFt0+1`DM5;@bU!(n2e=r(E+BaHETEnyEzJ+3xSoc
z1ac9dzu4fR!7$k7RZzDoY}DTuo&aC#N;`52b|@X>ONK2kWlbo-rEj9Y<ia8>^@_yx
z@Jv6kDu8938WQAT`-9g?D`1BI{#%xSzvo@ktcGn5f76wMFL-ODe1sKLeq|nm+s~;>
ze1bdUeo=_SH<I>+b->xyQx=Eeztvp4U9fM-WThzF8NcfB1J*n?&3q6xAzz^U3F`z*
zUMD^;OXn7gahUn-=qEmShOcgElE~lj>!1L9fH^^fIN!Y4(|da_oWmIT;}2|oxVw)V
z=8kj{C(bW#6f}yn!Y{vF`nV0p^46Xu;)bV}n%Oa*rKd<sVS!C)hRycEyUjDoi05gO
z>tTHYR!zOfNW`c9*)E@iKaM>TBI5e}E9>Xs*if^(M0>cDJsPG9tBGEf;ed5t$IIBj
zBF4v}8R4k!4?h$0^}m%T=b7LS9Jc#i;Gk!#YP9guGwl*r*lFY6D|+~{jWE3rOgD91
zZyW7XNMJ?$Hf$c?Nk@jbfM@Q|Be=pv(C#1NTb<E2qTt7dM|g?$>dtwNKLu`X?Dkwo
z+^b)-C>0jk{CR8(cI23_Ce9!4U%vBj1%9T~xLg8Lc!w%&z|8LcubSYZ75?YHVLK9w
zlPxfJ<1zg;*j12Ygg8&^+**^h01tC5dk(<HQ*Cz3@colH`{!XPPs6HNm^C`MWD$Nn
z<lwagUr1KABf)xT`}f$FDR_r9*BTl8NN(XUkw2fcu1&0;WVRgckHU^6Z9~NRsZjO$
z;5eKe_Ew4=ep5UmIS4Ne-EASx6Vq-^KOTnfD_QUhz)IXEGvDFJp`%3y;8$%9X+QtR
z(S65r_5E=GM^X|(ku6yj$t)uyGnr+SNF*}bNcJeD6rrU0A|b01AtPk(ol#arwkTx&
zUg!7c^YK2P&*$EA&pqed`#A$P7n!t?g$3OjSHHkF#R~r(f_a8I%t`uOmRMafzPRO}
zY*s7$)W*J_j4ytbpvc$(?`zkT)rBL2W{N7{4$02bMzBJ~EJrm=ubZ273U)Qpyix);
zo%YnQfWJS~YAS=RC@h}Y!ukD!-tXb8fv!>q_{X2Vo*ej>XyHyW{#f_8<DDefdU>Cc
zJIr<X+;9pkH@z*&7vB21KQaa`OS}3p2)^jh{yP>vtYyx0AGSV!eIW>@p);w8B%g1!
zF}@AEI4bcyhwbQ!s61dlOJ9uyI8-mm$`ih2>-a1c_E=>(e-19cA!(ciXOI6aJrBQ8
z=S%wtPvvV?>BGjFH8y21ukkJcBbc`%Kc9>ze!#BTstVg`miINmKSH>~)!}-t4>DbF
z>MfC5itxQ12djHvhd--BO0eOVJ-pvx)_7|9gYf<Q<aa+|1^Vu2IXIgpcJmZmccEue
z0(OvOjh%r{v}Nc>!;@RK%#!iMMc-b>i^A-F0YS@fqNdl{et7-6TQ3<;d_LShofp0s
zc7}o$mTi)u<%j2DjLn$fU`D~S9Pojr&!a4G^0C=ME|}f!qY4*XD*u&b2VC+)sEv#-
z7Q3Eui4CUR#Isiz-h1aF&t}-5d{SQ&ws>;z<`!5XZ1@!!Pn`Rp+IMav>dO{tOER8#
z$13ga-*A7{W*QRz99Ymi2**lg?UjRPoHkzThg*)lZ#w{Marf1Jfit8i?WEv$redxg
z<nu2m827;=w3{j#;Mb3j#*4vsB2Qnag9lBtbOhnlqq3hq!*N!jU&-<M2tKqag}W}@
z4(5eJzdGgT!w*9%+4$iHv~?D_aQk!#)`)}4lHb39y*ZbUll&-F*=m*nH@40#ll;nF
z9?f_KyE5(xV}-ZWoiKU{x3TjbWPsOiOQyt<xV>Qw8Ncn85`QcP9xB(kvKe-^_fH6i
z{dZrcCgZ&+yZ>rDfVZ{VW>CT2QaN+J@Y#WkmQC;{UdhMa@MP5s&vjgHg94_h>u}=r
z!mT8I;^L$5tFZCgw48s4>qTGt<pgiLSgy4KXA7)^I>7xa?`Gy;@A7X$*5vc`6#?_`
z<V(j}R`7or@Ai@Mce+GO+7Q-#R%bxcyKsE|q6eSJ&R!(r-#H&A?$?Bk+CJVT<KGV)
zQEpX(Bb5@QNO^v|lgdvTepwf1M$&65z1l4aGr0y+48hlH&$sZy7u~N2jKHOiOxO8f
zMkC{fKDaBriJu8B=oJ4=?w5k9z)A-A=?KHqUh?@bHr$)wt*w9ek@UK1T&2{om~2~n
z2Yl9Kg>97@&wCO%cI18(WG*OJf_INTWNe0Gg`P3b!KHs);>mmf9qF?lX5gC?+B)R^
z7CLr>eiRnx;rm(-e|$~%ZWvbdS_~?OH+-Jj)DLe-t7F9*RTYmbMQLAQXN!bS#jsRZ
zJXHs5`s|WXDI64bJ*gFDiq}}mgY(nPS8HMJS%!NBaNnv_d^LPPXGr=z9Kpk}SOQz5
zCspRaNq4%H3*kpsj_!N~-|qYzoej^`Y)VarFG)o7y@8{5BrQk70jYj6DX_H7nfoy?
z`(I1%m$0tXVjr2$aqg*Mdn~;Fdg`T6SVUB|Bof~Kg4T)D&j!K=*zUt;^0Qa2!QWqq
zTZO<9*VOe%{jOdq_Q4PC3>xjXgDH*((%HZ|Dz%rF&>rfot-g1FV`HQS7GT+wTk2=w
z_#gWNJK>VYhLiTNWzUn}ZE#jVtjsys{lpG6GCwGE(W1{0rpWYuR|41i1O!}w&BPSV
z^I+#hrG1y+U(NB=q`h}<y>rzG7B=DKcm>yOm@fB(1s{E%C-aw70+<{;;Li6i|9cEu
z<`yxL<M)@OWQc-~NcHD<!-jpOAMU|DE)8!;e&`ofQU=41BS%g|z+L<9rh36Q<94Zj
zfj1eo-zEK@LC;-3+hNl^@luwsqe9AkQXVX|o8!%4KbB;P9=JN~xen=1Q3Q$f48pYA
zYx78dtNxUb4=GO%sGeAB!CIaPLL)F`c4?D3+^F|o?GN}rv4<Xtur3el)d^T%BzIU2
z&K+SaAn6z4j1TRB`IUXnO~a)Wo=HM*rIBaa7|h_xwzvb9IWTZy7M_(<uw#Lb{25Rl
zhclg%&Mu)px%e>X@po9m*mrgXJ}s6INX{p6_t3<5*n&r|mz*#6&-XsVaO?Et-OcbF
z2F>OUxG}w?j^xjaAU7p4zwfRWn?)n+<Najt9X#x6M%@XkJghNz1M|7u(M3~H^4jWD
z{0n$wxa3b4eDg~P<1;uRlzEWE4<z=}2Ex>~N_V>9{$~sxe(;X5nCs;JntpZeiajj5
z>mxVGZ%^Kc0rLLU^w^X6I+*j3REH$In>JLx9A3JzW+wx0E%`WG3YSfnFp9ws*y9qi
z;I|Y<rAT@@CdajG*rp)lt~@Mq+SD`y9^S3Zbr`lV<jo@YU!+6GRSj5;cicJ-ez&w5
ztpn?iz9~w88Ap_-juY2AyF7y5pHE>r33EA#)kMMNi{ls0!asMvY4(A4TTOG5=OcI5
z3!?sTe74N>OK_o4gA}<xE^gx3>j6(_`95%l4S3J_ll+*jr%|?qzjH<<2E%cWv!7bQ
zS9<!F@58YN#B>bdedW}=Wd3J<Q|GJWu-zUbw^;b4mx_rREJfiEL!PhrW`4fafVsEk
z&ZNMzZ&l99!atfySu)|g#leC@utxxs(+5~@K7>UA7F3T|$%8K|?71iffAk+ZQ3?-V
za^w+!@09nrk>@SByEL9caAk^UV<UXM?a&@J*s_c5Hz_}(CCx$Xu=Y78ZSs8OE|UJF
zeFOfVaqF?2gQYVM9Bzg0%zDv}!+TPtCd%Lgo3<aAf%{WR9+tq*3*L8;=dW1SBfs)s
zRo6ua^1lC{ZTr0s@Kv{H<{>z<!}LccTrJ=ElFUcVygC(<4p&BB(IvlMB|UfWIm~hC
zhwC7md+gEIr|@xVAGU5-_}LEWN3bdT+mv27i>jdOA#6jbZA8vzzp2uJJMd1C>qF#z
zG1xlVehXeZM;F=v57@Yf`ofOSq_~>lhzr~;UhrPg>hdc1-CsdJ7r0__%Sb(}b*)dp
z3GU8$_MjZ@Pqpzn2X9c$<s<3WJot85!|Uc+HRO5sRHaC>5xlL~b^J4IN<V$g0KUq+
z@`yYi?-saPuLWC9Y!)Qx6Fw?k)_^l2BO7wysA^3<Sy($JZko&owxa*-AOS1azEdIp
zk4%Vpl<t8&yWg~=!<Cj2bb_#Ecp*QzpI1{0ZMfmq=<N68e)msTkr|=F^9>!{7xF&A
zBGviZ6nx!FRP!tR;JbIg1l&#aYN`$X%3#v-1HS7P;M)l=mrHMbN8Bj;kG%hBGBU7z
z4fnGy-XZUQes#8nMZ@z0k_~-WZy+m}dL#_~=`~_G2%Bh5><WZEPPHfJ!ott?dESIa
zp86j82-9x=$#@0!*I({_0?&->zu*X$8NP6gg+FugN1DN_<(D%~!uC|36s+L+*e_hB
zu)BMIiwWE+bEsGv9*%UmVF`~Wy%3Xx_gDs%pM<+B^?Y{0D;u^rpM@J^vnF|9wuUT=
zQ!u4<-ta~^uU(Yd8vdKjWx4?#chNPlfPcl-Ce30!46gN}`Ezjb2{G0gIJUQ6l^oCe
z{k?Ym@WpxUQ9Ia4N3ruOtib9bZ3A1fj|tVo<sTb*9pJSmN2AI58qBxv)|0rOt=@yT
zaM!*5tK|Io&!w+rz-D4ew&eF(9WxgqVV}rpIw#oe*H-%o_^p6d0y$n5ck9iU;cHg>
z%jA6c@2@?%3K!6_P8^3v^ZtaJ!@W-i)Q`atX?OW8;RKIYy{d3ac;#mWxIwEi;3#~Y
zPDV-&KD;z_^$5K0G_NQhY_M-Drw$x`;(jbQ{3-jUod&!*E;6wdmb&ziUJq8)jyk;s
z4pF2!r42i`A4va)^;RwiFi;r65s|T+3vfnwz%g<>*R~&YChN0s+1#2X$Lo10u9vLO
zf(<JU>%;Wv3ZiYW7USX%a=lliUdA@VMv0dW7{T(fN)w-8>bvK@kn7EOJMnZ8yky<S
zZw${3DyOHz4z1NSr{OmeiJYnM+`CN$Bp#}NZ+kdQ6Fh89uD1mDOkfy%;-L5m@_X^u
zJH4*M;x1H6Brf||ZsH0oFl#(c;=*P;KTpA<cex@+`AgXCZ)^tJywKc3zW<1G=3g0D
z^vZe@`Tb|DOy{NGu!-?3l3%}E>rBadJzbkMw`#&2cGe>s;Pv#ORVBDxO=@5a>-$7<
zshb^yDcH*{O~Qf!tJ(+Pk_Vv<?eHcIy95zf{s_xbCmijh7`Y2>INm->);B8iPoHFm
z6NZcfOW>gk|MfG&eD~?S$a+bpt*ml%u+7q~t*P+S8$$c2;Zdc78_9Z1CuLs+tx)29
z?VZ<AkKogj|H@|IZN9~Q4zPgUEv`{G_p<OsXSic#I;I8Y_`^xb4kv$%nX7^OH@k&%
z!YTi*+$({-Dfdb)VZAMDCE?*b*u48@*$OPOYpm-Xd?o7N$M5h;-Ydye`0z3HW5aOZ
z$zZ{k@ML_xS_6DdP1`pX&XQSeYl7zwKNXCD3t0KRs^HtAXMDrq#iFxYYhjab4E6Wm
zpHGr3^5LTkor1ye=%N0J0(gC@;`|Nx*EJs*vObzS!xWuAY-E1y)dTqL5#e<bUvx=+
z?gsN$sl6ic*p{pG*I@G~O<!j?+xzOg2z>FnX16V@vG@6{eeiwzN?#jT`Bl#T-SCLj
zXF*5UkmddhKG<0QNWDF5x-&_0Cw$jiTj(sD{Gg$etanGNXjftiKY1kV{txTvMgDZ-
zFo4S%H8+v<^}5EM*z3T8hg{9Z;lxiFrAJ^F=i4Kbuoth!1r_+MSj>Z;Fzupw*&+Dd
z^$gx$@V=J|7i8h~(4wk-c)VW5ofjV3GvGb~J23ZgbHlY(6TBq8Gwrwg4w8P~^qWDr
zN8vvn7Wnmte`ekA`L6dKbg*mm!U$PU&^FtSmli(YM)9x>ZZ`J1K?#3!_{ZA`Z}F1m
zTc<#K{eq&p0j7<&YM+L+dVh?xlDGoj%}LlvXY@fWobpMg<0oADsGXOjXIZ<v{};@u
z+~VE=dmju48Gt2Q@;7zCGnb17hv54(xmE)(@7ZdFUf6E%+4K+`6-^cO4K9d#szvfI
zNN)3V2YjO3`wPjxc_&rvE;yOqOMD(q_^g`H3@_fW__PS~sAn6K^!yJ`U8KeJY7$A$
zY=ASZ4z1I{ZEim|k@P{L2hFy_65G10tKkZDmJwFCv`S|?Nk4DR^jH|)G9~R=0Xu#h
z7upL)n7LL}!8KyzK9cZt$rHOu;K|=*3}pSn;m4t#Ww2p=ncZP{?<4K~?_uuk4!4fL
zIrUz*bKp&n9Q$-&rb*+$3^<up&Q%X~=MRy83qR&ns5F6}r0koDgSCbmf11N<@65Gc
z!bOi-51)gDuHMWHf`hZ0y<A{f+EXS0@UG|80_Wjkw&)sNcp}u1*&UX2OyD<wy)8T)
z$$EvW5oe>>VbhKaX5sKNRkt78;b{rEWItHKeU}nFe9k*pHV`h^pm}dI{N`NXtt;@%
z`M*CY;Ik>qJFdeHv<&yx)-6h+Qu>RW;i&h{D%0@s+ht$L`iVK;SHJ#*Z!@WT8Nvz_
zYJrpRqd#2}<ow@xIqV&WA8gK#)PTR~y>6a`*QAbZR3q_<M)w)`Z_B<6c{t=4Ezcs{
zpi#h$Ddj3ACdSTlu+Bzr7jpf^>~AqI!y~<0`UK#Se`)z7z0>M=Fc&Oa+GRzK-;K+C
zo*lm4rfc#K@gf(FDGIoF-DR1?$7o-jSws2SS@!AZ3gYbvcA2C+n%(T0-hg;*{4@_K
zuZM1mDy<{lAok9+2lgpd{6T|w_=7|JU*P+VcA?a;!DIH@O>kb#Wr?luJ=GTr^{{5^
z(=J+Aw$1mya@aB;&W8#9TS2+440gU%EyzgH4}Q<hhp&xS*RjI2T<1h`VcPNOE9Cm=
zmT5F+5^o&e$pzDEmZ_w}dnuSo$o2NQ{_59DSfGi<ZWmmo%6lpvuIoRZP14f|45vJV
zSrt{x1z_nDXV}Bws`EeRIpDd1(L85ZkfQt<Km0PlW{)GBTbVULj>qS5%_SAsWA?i|
zIbKb@V-#v|!pD<$w!ke*n+zpk7v`|<RIpZRV81ln-r9JV<o7Oyv$sXzj&B+kpOK$E
zhtjB2VXVTmp%hk@_enhj4|Hy4PKB?tdYmM`_b}WmKN+q)q(wpEpY5pm@4!J`=7-68
zw+HASdWOOjpC3f&z*>Q?+XLbMcGU~$!BL|n!6ERN#K8_rIJaRy?go5gC}qwDt~~D$
zaTE5c>_6rNhb>>3xC%?HvGlsYbzw{DZZL!MF)25=tb6T+E6g?FRptQ;UkF~f1h;?B
z=J1ELF9aDmz%uFIUkAdiziCsQ;2JS5s(UbYg`&2FZzySpll(8)7h+)tj~(?NjfU@h
zbKPbJZ`|9wiL7UPUS|5jDcHAr%h^QuyTsQrBX}r9Y&r>U3Odbc3?Cl4p!Ei}mQ}m1
z3lIMb>3j#92bDJH!@Nc1`#-`9V=slZ;7!~^MTPJ`sa<|Y;oXirtQGKcgSBo|*nnB?
zRTZ4Nw0Kt&o)gb9>4FVjHvCY6L*(mzko&=S<FUge{SLa#hrh$SbFy^y!Y}SCkBz~H
z>y&1N;ajfj;iNtIg-zV}U=<14U8KF-boALAH=Ju<Rs9vNb9B&Sh4q!{%}9GV!%Fd&
z1vaS-StspTx$4stYFN1;h?}HeJS%5N1?NO6Rgm_N#gQg;Y0aX9u~f#Gq*rTCHClvs
z_f0N0!1snc(q`b(JOg)|VFS@eF+=cEbDkS7-~zEM<uRBhS8^;C{`9t0_B%X&TW>G`
zK8cM=Nc_!N>*Ic~wY!PvFzo)XD*hs@<aD-m622kb!%WH#S6^dEKisr^6Qu&&p7r%w
zGfW-X!b8fp)q`ZNM%e70Z{<Na+9lJi65hICX(A67Mf&iR!%P}mRwdxoL-$&<;SZPc
zIY|1XR$I?3*lx+DY(HG^#Hl?MK3O1TMAA0}?h#0We~$*l@xi?A(mpSU6ZOP*!(NJ%
zjWKZOnI}HXFrDQ#kq9`6#gcvpJmFe#@fLg|ION1Q*2BIcJyhcZR}ZTVk@d3ay}Q{x
zVJ?#ZiEr?ii%VCpz;SO6mh{65oixr)aBw4iZY3P${FUh{+*NW~gskWNgMQT76>hy3
z>HZ!*FY#fM8@zvT;MZGt@P6SNlKxYO_rnx;w|$VwO;}p6iZTgSDZaDn0pB#Wef=Ch
zs;B$X4`xtE;~?viE3=r*k@SUp!wz?0qXSGaf$$moeZ99~o*%;DUT||8RjVr;Vc#hm
z1Ye8RQgeo5pP9K|hU*IW{Pw_4Ov_pv;IDhy7)0T-%KbO&Vb3(j54+*qHJx@Vcv5Vq
zh7jy3;o@ZpJ8aCH;D!a}yE{!_#b>5B$$Ik@S15f?z|l2h{A4})k3V{()L~`){VF7V
z)y|AiP58O-vnPV^<t%rVgYdtK)||cY$$X6`a&XJVBMf9c`V3D>y}fWvgVVl4@EPN}
zL{XTN^IM<_Jm1Z~E&!|VabZ@21vAG@g<*M$e#c|5z=kloop58%-`j>TMe6Z$9I%Rs
z!@x<Hx3q7xVHM@wmGUxKPd<M+ShX3RH21CXgq`oQ8s@`CDPpb#z|mD6iyvUON;WPM
z@9IfD{szt%b58Yw>1`O7)8T2FF{5iRuT~6gG~6xUv~m;Xd#k(cIUL4)mL>|`I_~Tk
z1t*K8L_UTO?OiW@3^P@WP5uXO;pE_Y2ru(qy_o<HYzQsC4>vna@IQqUmXdgG!L(hX
z@1DUCV%$}M@XC$ElaX*?^^-f6@Yb4S-gr2)fqBphu1%KlcnyyZ%S~&;``;(=llAK_
zMx|>WBcInlc$2JOzdb!?NdZ1vartpEY%D5pTnP@Qrk)|?|BWLLjX11fC$Y62jxG$b
zlz=~LSJ<}0&-t%0@xzT#KmEF4Zq1$x0&qO%&F(=s;PvIbYb)rF_=Wv91%DE(^`}65
z!-B}-JnWg4*1L#!z)k*J|6rS48>E(Di<?D#l(?UJE&A`x!56i%ovC4mdYK=8;pt|B
zimmXoqOD3(aMTaA6O3@3kWJJKT(Hoe#s<G{kedDl&mM1)<A8k*glLY#CDSeu{4nc%
z<GAl|P=p1aAnZPxyzmpA&->>g2Inoi8uh`NFMrY;fHRFsQwCt`6M<HwefLwN_)r5o
zUXh|D^`pp<WAycKP=A}XHaum)do2U@)jSk)98T@Es(S;=-TnI891f`e;1dUb+u%um
z7T(P@*O37K9OJdS0BcAq+<655)qm?x>gQtPs{>K6LAP1Yb=Y<zlYAKbp9ALw(!NXa
zYKK3B6TLr|_`zp_2gX8R3zHyy(!TpYVLcKGGt7x5hr)ZaU&jW*BFy8`q<w!;(l;9n
z-;#^GPuln5aA#c~c<ny}&KTJHaokHkn9k_mRnlME#<OSD1MXjYM@iay8l~_wZ`k3-
z#`oE<g%Q(6H~7$8p$h3AW+&f#?+L5dZ<{6Ub-vcz)~oPV#Y$iDJjdxRVtXCdb-dI?
zp7(CFJ}q*A&+po8N1o@Bj5a!7fo&;0*vR_xkEJeFIKr3N_q-y{ujbx~TqM0@UEAsm
z{ABZ>iU=(K&}nfK`qSL|t49Ul@r4ints~yD=i)O~*l4)=BUz9Bci9<@?eOorOg1Zs
z56Nb|*b2|5Kbj`}?_7>#tu3%nN>B7WoE5bkM+J-bnF;)Z7fg34j4xZ1+^LvLe+8$h
zWem>3zr*}_U&1_2<H4gag^hn9>3^|2x*+-+7Wl*{?h8BchWSjum%YNgU16nmD#1Un
zo;>Fa>F+VWR^^+7Q=PhglJc~_EVYuv^IqDXG=$p<8J)=Q3%OYSCGG16CP$_@c<j)a
zJ?YN|2mZ(*zrW3~kD3lXzx{v(`F;NyC-==T?b_v6eQ?T(>bnZukF0wVjt#@%ChfaF
z!we6lwff<zOds}C_<A3G{1^Bh?PyXu+{3D=(*fr^;nh!sk2>=uHo$$Gf_q8(7d2(6
zR|n@!<_D1dHu!HbQx?Lh{O-?R!cCqhQ}f|^jo0d=JzOZ1q|SmL(^0mP_VP{icbzBj
z!!rvMN8k(B`Vt?)EDFkD>hQ&rtnqi?3BLTmeQ+oxvsO5K@!_?3vOkK);}dFkVaxXu
z<BYI=lG-SVS3FBTL-t#VvEos@4;!*Aq_1FqmM1G4hazDO>$kj1@R+8O1o?jP!Yk*R
z;fejHE!5#+0crCQ_~EPRjYr^+O9qtvuxzNB>u&h{<u@{;@aghlwq0;qb;Z{KIOF5t
zu<<2}5`K!dT(UpRJ-eVElW@kV@@-^)n490OBvrx5$!A+O;rO<#C>U12V$BX7>xidm
zZqG}Corjv!Xc5;EnXpcTLs&bGQ^F^h1`3|RPST0}8{pve{kdVVG+kOv3qG&ATf{ON
zW(yipB>Ueaw=TR5hZ}u|?iRyugMOLDz@Ja<Tq}UrZzmZ?z|Qt;a|y7i!Kci-u&`R6
z?<@H3Y)pC}{A98H+CA8Z`6G=N{PRO3<pY>*bI#ivu+#YmDYxKK@y;z*VE;opGIxlX
zy3SsM8D1KOg~Jln@--$fHxEZ?Ec{PIlJ_JmZYjW#2pe8BY}1AttgcDDhV%YY+j9(7
zQT4m`4t8Tc@l64i5&Qh=1MI+jL`n(X@UD4{oZr4i`B+{!f>}(W2DaDb{k;orc2v4c
z^5;U-=2y(H`heNXPI!Ij*V1;lx5sg%59YMV*u3`7qU1ovLi{l78`hb%4BxdM)FyG8
zxYDhEV2&A!4syK>k44$c!=?Jy_LK7Pm*r;R6im-E`EeXB`Jl)A8>XY#xcv{zE4$x$
z6yC~pGj1L};D4I^FFcVmZAtoLs@wNoorK@G*^lwVR{LUW$@l-a`IA1mAL5tH1*YNM
zrw{gO!r~5cp5*)ee(Opbz;RD(Zuh`cnhD*eux5tbx36&R<ByVLzaH(BG1(4yv{mqv
zHT)*K<lYyUAya85*{^4>o%3)L+$^4)Ncx|8j;e~Sut{XeD(N37wT?v9!tX7F?z+QI
z$HG-f`oWY_ie$f@O#|YwRq#-AQ8nrBD*U1TT?2>Yec46!>)9IjT&E1?6_(2+{i*4+
z%W>tf=#vwhNd58JAo@fO%yxjDkJKNfQPrziFxCB;O45Hy?l(6}gSCP*PmuZ}hqpd0
z30AVCjlT!4J+;~RAIxNUO6&nV8X5oQ87x?TsQniF>1LzNeb{qz-9#vS_}32lP<XK{
z`B5Nj*=BRq8P;BkDZdYUQ|EI#!X~Acoyh(~TWPzS&EaE(ErI0x%F_?tJP8k#ChaBt
z&5P}hgK{M9CViS558uW70ZBM=Ey3U_EPhT$eji*Ik>5-9KYAZ{IBX}pUuHWq=|5Ne
z_j6<${6(DSg$#V!;{FIN91?#uf(sUDQ&gpbrG4Fac;U=v+|kpE=npG|8Gl82qE`4Z
zJp%9c3mPEhm73xH)1UBom)dPo-uZKk|9pe3v71jfEZ0KyUoYG|G@DQAKSBSx#WtAL
zs9&QE)*tqH*#b+Qik+y1vkz`FD}xvB*-?}9Jq-1fB`{?>Z(0>RSa2lpD(re+c-J7j
zTaR!5WjIE!qpAzeQVkunhMUf*^nZitH7?(?f_I)95AJ{`=z5e5Vd^#Y=VX7bv;Ng%
zdhiv+NwrpZ^_!QvCLAd9sHq*k^z72K8r)bX=SKGbQlt_(stD(F_fV4hFN2o%j~qNy
z<(pCor+IYfNy3R^oYJIzV6JIf6o<18eCjEIbyP!-i@+x?nA&}Y6MMo|1z~NP#jT{i
z<gm~(<AJM>-+fX9zuI^wlNo*$oY?&c&X6|POb6c!5<4Fak1;H4SzSPR^ls3#g<ZEd
z+Wv(ncIbB5!D2~&80X**Z@>GTfvI!q9me7NXDqi^!|o3jw~xXnjpp8-gp-q7TnFKO
z+b<}dhO26+IQrqgXI6%e!zU-cUi|{s$U3{4z`IVe@OHp4-D}(RVAjAXj|TWsr9+$n
z9CUE6Kpm`Ix}>QE4>{5Je1`cypKUz~&tA~lQwmeF&UmQ8pOORu^WkApBWiWnal&zb
zF8t+7U#bF}DRngD4P3fGK~@Q#DUFoMfGcRKzRJLFn6KS`1s7=XTsQ<5{dIou0&Yt!
zIL!;wC7c+IhP#^RMs~q26q%8cu%hjw`|R*j-J9CMFa?cJA`iUh8OQV6@WX_-RUz1B
zXSbmTe0`tLc2RhOLuKVUJa75><8JuZab8nb_=x^b4U*n<^HRD4EYm&`u><D3`i;g0
z-d)PgvlBkISZQeqr+0BWZGtPJGILE}t+HeDv~b2)5`z(Z!%0K!ANB*R{upuLC|qH5
zv2htTIJ{%K7Ca<7c8%;O$jwIOstliyWTcpfsfX^cABJCF3`v@V?^U>8m4TJ~QY2>J
zrY>q;DY$b7U)KoCS~=&j4-QvQI5!4o?z$zg2e#Yuj&=wx*y-l83)Zu(iu?gL`zCjA
z!6Mdg2HW8GuVck`z+azya_)pha^!oN;UCEoERAr_FL4<<xblzU3$ov$?;Fp1G%$xW
z_xLB6h4tF-+B~keH@{mMEZ4#tu>uQbKI9_%JEo{|O#Fd4=);o>;oJ5;YBMnX1BX9p
z@b@j=&ws%qW9NJ`VXO7&Ki}cOwS)D~;k1rf{jYGcnW$MD{PM}Qq%ZLM)#aBD$mip4
zQZ&O?PmJx4fT?<qq&L9g2Ms&!z_L?1G?nnd1i7>K;Ma`9mZh+0C}jrOFSFNVHa8!Z
znfr0j2fn27j4=nca!m;$`)|G~PIt(FFSi9VUV^XDYPcl9(GOoznZa-SEUI3>{yjJD
zpMoh;M0lUVk4{VVXu}$B)o(<=F$o*aAA{>oQSG?{%inWa+XFL<hy?n>%l}E;A^Vjo
z|75-G3D2EB<i!F9H>wX_feX+4qhW<D@{h{7!jcLJC&+%ODs5?#XW(Ju?G9Vu((2q8
z3%H};JR=p%C60|c;DL8+@>^l~kvo|R@T`dK0NH=__p_YM(y$Q)jS~%A`K%*b0$y!0
zWLm?1t)DHZ827?Wg_E%qh!067e&T~2sTgJY5#QM4cwPi%aC1xj3csD7ao7c0w(36r
z3|n<bm9vxdtV6<;u;76gTsvScD(7oCF#VCAZuIaAwdJ*3ShbRGHy!M)qx9+x>_2qD
zdjlL6UoD;mUwJaovGy0=*P`PU5C0oEbYKBq5Nx7JgfrOvzy5*$=`&=I{dVUw*~5Rr
z!-lkFaquQ1$HU*@`yVwfko|c(qdz?Eg(vI_XP?4HLu_X{VGm0Q<-4#uWsXi0Y`;07
z<{sQ^$h=Sw>qqun41#kri=VZ_Hk3|3{o(Ac?)V1yQ~36-3vibj`{Y-6Cg{NDbFhBI
z^_U)bj?>ZMG;H;oL3s#fyfW8!5_XYs9Pfua!o`9OVFkUlha+&JSoV@0{Qi086gl43
z{x&%Qc-ZLpQS$q%bz0>@@W8_0iAtD~GUW9i>=(V);KV<2JOzmyytD9TbuQ`>__n$p
zHQC>Ka-ir;9?Z;?9aaWYYbn!xfY0*$kp2jtni@Qx371f4ekz1bV=pkL!{6+#ozI4k
zXN-B>hxN@{!iwQAOS9$&aMy|CUzPB@6#IY&>?av=yAc)&@sYX--~DlRuoHGyk+G45
zx2z}?O~P(!emRHW>c4z!WdG~tPvtk5;Wf?F8Y-Nh&Ye3#+hE$xvWrWIFaGS1`S%Cy
zAL|c#64%yF8k&b6H!i*>`(;Z%_I*48_hkI5T7w-OPOATeLz3xS$@hQx_xMC3EV^-$
zj>IQzy(sEobCKnDf8k1-EXEvoSN8{lRk+G7p)d;`6fFHq^7moNX0|j~IWgXM0d}8T
z{hR{t)=3qdh9CKfwS~jC9!Pv9zvpDT-|qp;ZYAqL_WS<ApEY_3_6k1za1nlAT^j8Q
zbK0Mloq<KQypLJIN58foCCBs6B5KhBzP#QtJpsq<oI7p;XAIxIL4L3Pwvo9${65pe
ziRABZ!?AS|_hG0UY=d<}#LSIg8NC8AvY&b4VA1+Xc$#)oA}J3ohc}oT!ygn@rr*F$
z!lCP@VQUjjy9_vKuJ^)GxX*_^+7bR}<nmb+UQ7PS>jH0E|H^$BKAoQEMD~xj3BTeY
z0}r+x`%CtZw=8-qC<S+oD8-t>)Tg!l_Q7_7g94{uuZFu~d*F<S)>=c@-;F<H7pyUS
z(U|N{e@Wa)h8O;sZndNX&l!~dM**9hPvtX#MQV5It<B;8U8Sf>U6?cF2U8c^Bf;iI
zzCSB0-?<HbeQcmq8!pV&uBwBzXipqF1}_hW4t#(W0%Z9pVExlF3U6TSCi<ERE*kgI
zjVG2XzSm5T`O1gol4D@Q*`2Iyu-n=NswnuCU$u1^d^1Sc@;=;qkbArwuF0?15(?8Z
z%{?rHy^jT-4}=5zj&OW}&sjB=_`sWU#?EKL8G;d<?y$bU^z>U;k@|4WHTabeO;if3
z(n%@c0*hN8<4J=>*qVCI!E-iua_+!E7hlL&zz=s+D&2!w1fNbEhkw<~cR0d%8?I>`
zgR^w^S-HUb-J1>7;hS%785+YH@86{<lJp$e-KOwRc)%%nxR>UpuRh$+ZJR9#zq<W$
zvk@Gk%(87iJQ^rwtO9cv{&N(9%QhH(I|3h2`?6C2=HAW{C=Vyq6<_6oPo*B%dKl&p
zxYfi4-<-}e6NUAZuk76hw*}P>?1xRaGAdEQGS-JbuWUvC$b8#(TKI*TsQeNv&p;i%
z37$MU+W#B=!Ac>^2wMktm`=kf#k1eH!mH~ME5k64NS_$_{rdejV}r0kY<({~OmTGA
z!)_8^De&6`TPjj-`U1zkYi`{Q_ia(P?uR$U$Ci@(7<kuOLE<MT3s?@rK4}bm1Ms9?
zq@^yb*pflt3p;KudZP~?q#v>W4qukP`Qki${fkUJiL=uj)g{-@XK?*;8*Gxj@3$iy
zaisWHGkpBo;)@ILRC`ERHBA4lL+uiL;HLV<O88uO{BKeodZHN9ir|Fo8`0NctdhQ~
z05-E!SHB7$6Ns$Jf_W6!Mm^!b#yU!GVcD*MXb)J$kM&0~eE(9Wf*-tVzQ+6&Oi$%L
z>J8_<j;44HFB&U{1;g#OTJBHbp&lAVQl9hUwsS|oj=yRK?!v6`Wse@f<u(t)LSU`)
z59Myd`#Nd69>W)Sz6%Awcev_<$^D}ekX3&Jb_odB`y8fIFjI4fwTslcp2B;Dg-2as
zzrmNgQekZ)`%VY==C89&$uQ%$LtfUfl6Kb4T=?CjlY<59#OYL-4Rf$7GaAET?(|ND
zaPeweun|lp;9E)3Gjw{ksK5`I*_}SYwrmXAO7Pe5mYqegcKP6>3@jaGS5yu!>0Ggu
zf~WMlc9y`BLL6`T;l?|*MOAPd?Q0=E`1$#+ouA<YUktA>!tBx(MYZrrw!U9m;bqCz
zot3c6mtg4?I`o$!^@<u`o@-2L|KP0X%}%7gDvJDR_#3Xv@?j+P8H2lP)fBv|_>W^F
z{7#OIr4QcdV#C-8S9rX*(+hjX_Bgh{iDFtEwXobbWyWsUx2FDBH5|LJTu9Q#+Q$F>
z1fPGrBXtsPj^HuLgHM>&nvKIfKmIPgf!*8rR%S`u-t}?@ED_TFdIsKcM3e0m>{u$O
zzX;#oQg}ZB{^QWK{1>KmiIjQ@7t6S+Z$$mglk3J81+%Ad%~HX_`G%GE;CF|uqqo4d
z@<obw;jv@}_02G2#p5A=I7BG)9vd9yZ{OqvXIe_j?|{#zsa?MY7aVo&<ARS4Cyif*
z3yX{8cEZvHRtK$NMy085q&?YkqBP?SJahALC^yW#_WXn??DwHmTo4ZKU8y+%Q_5`*
z<%5T^KI~8<pU*RC6NfuZT&R@bukFizVz5`tu@o8jh$^cfY5(47CGbeW%qI$3CE*|z
z|MI<X&_j;2vv9DV@?B2&T65;fGqBrHfdecs{i)nI7ZT5Z#>D{J*=gxJ!L<B=WgFpz
zeX7x(@NUnkObWP(ra{dEJ{-_#ytoDPrL9uMNq>V`<V@}iOf#_m+dWuxMBDNgT>Fzo
z@ENS*9C7qJEGB)sH3nX<^_lL0H%v+tzlC$M+l<=ayMw7tnefHhvV~eWT-f@35xm)Z
z?0W?~HrjEv0JfCuy;B4;x_GD5!tM=!ujj!!tCJ?x@CE)~oNwXCqFc|uz&n!uZc2kI
zIp=gb;KZk+842);NdDAUI4Xa9cO0DNCGe~V)|VZqc?@g+e))YAzO=tLCj#EYLKjZ@
zdzCsZr|-f)%5Qd&{$S?5Pg=onMRs5CA2@F0!=x8H`BJ4}1NxKJ?;dx%!<|$=cxhn2
z%I8vk@EiWvOaYj2uNa*hY$7y%njijgW#2m&*w*La`X2bs7aCzF_>+5ox-fCd#s(W$
zB!K%5>EF7DzR$CSCy!o;mxh_1zdvIF>#k5}D8k1JgWHe8ZTUL0axhQMEl(Zzr*L1C
zD)~Hz>5LY9pjSvu88(kKi&ln<nN;uU!*BT}{pI0jkAe^C!s@Cs!jiE0rpO9Mc%|$2
znlS87+j!*yiB~Ts^1|;m%ktgfh92989PkUaMZ4?pCkGc<W>_oYTSgH4<$V1vdYDF%
z@pJ%uJ+iZk8eSF4{uKv@ayY$MqQ&!@x^vho_||2;<8+9p6bsXk=amg?;&=WbUP{A#
z>Km+H$@ZNR@ipPD|0dvbyBHf+5ZCGLn4N-`nf?lIM4ZW9DtaDXnsj(h1xKBc9bJUI
z59%*$fjR#~-lM?t;e)-!&YR({;?Mi3;Q9Kv%5CKHM&?4y@GRricjR~&79DSFhyR;9
zPPZM-3asJcf&<lZ{FvZBuKgEzU|PRNJ?!uiYGoE7czt-rfDLYvGPfhoyS82puSx!y
z7_(;_gxQllBT4=ZbS|8dff-ff<VpVR+itX~2#ZP2zF~xU@9$5QhmA~knr?yxZw2Tb
zfx8~q*OC0x6Xh``&*!=W-9_Wb58X$03nU)%KtyU3&abCiBk^0DF@nu-XS{a28vI0M
z<Y@!!aCM))DtxeLt7-*oOMULQHe4uj@<SQ?@>HPuG5BJn#I`zE|MKizb2za2;}S_9
zAi>#3-XB<84>xXvuj~pDaE6b_&??u!k9G6i|Ns7B_qQi4aLRUpVsFGpUDX2X;j&aq
zCO>%i`Sx$^u<UiA7v%kj=H@r=YT@e7uD|2pX6>7FZSbSE7m+D&p~_=Faz3VZ6C<hc
zzi#WEF4)1BJ2VSk`Q>5I37<2))Rzs9_o%+^gFkvC_!q(yl*T+?;mJo!?ZxopW1Jp8
z;DAqJ9_0N`Nr=egAk0_3gS{0t<X+Dp<w0CC%4!fkBD>)U4NSLt&(?nUJH-*DHKeE9
z-t_k`asB@1^YE!O^`ndMmyZ+kB<{5F&4W#NAI6eWJ3z{J(<ZU+v~W#luskWR9O5>&
znBeYZmpAK(cVGY6%>wfV3e%GEDxSpY%?a=Sw8e*%cebAW0(`L4^bHACc#ph8l`!nI
z*DQ$z){qQ!6@}F%N>2&E3}rP;((q%Un8sajfX`CiAz0pX-Jjh5>xU0psK77ZH_wa1
z5!1bIj=+Lb{)UHOsyyBkI<T*jeuWJDx71-tA8v0?_t1nHKE8Wy3M&d+om7M0g>2C{
z4Ik8Ph%<&=-kSa*???Z8dVj}pSiy-_@jQI^)1iyzaBr+>zcYMC;Lmq6SS6N0>LUC!
z{`ujvaACVeryJbBZJb5w$KstFdvCz%bIWvgu($7rOCiMCr~i`lJ^Q`N@516|C=49n
z`#&fDyoLXB6^gcii>~dA&xG$Z-%=#Ucj3_Eks{bD=dGXttnsAiQ30Hj%Un;+uOV8j
zrxq3o5zkSD?WzoJRl^y3ADxziTPfbvllSMj!wKrrumV++M+bas&*t%caFpAwPd{MU
zmM!f<aG$n<(-3?j`?4nw94vl@VGMp`H#NlxtN(NRI0CP<m_(85=@1)fISucxYoaCf
z50%`I^)HxbVdLro%1h4CKh!g@roHdwzp#}O<GV??`SUQ_B%HK`%lI$+$J6rO7~C>1
zLqYyOD6^`N9D?siYmU<5{|C;I9S?ip!~&VaTj3)gQ%6aha+~}B3v4CEd}aU+>fJBR
z3V%NND)$$xbx8UPH~eL2ljtxktG$08AM9=y6FddG?2t1j|GzX@Yt@naD^^3CMjduB
zEx6nbhkEeno`AnL=$n)JfX8#&BKbe3*`}O=)E6Qpl(8paQE%Goq<-<spVc&l9iIAf
zmcn}q`bI6`q2<yC#qiC764g_%NN(oW3^@3B;*Ya%hx@c)8XR;g>fssq%MQDR1XwBk
zs+1j^&YkEK2Q#Lf>put2sc|wtf$a|zI0nFBPk#^HhuyQ|Sp8s=aOXS0u#13e{%!b6
zcFbx3NgsFod@$TEwIk6J-c`@B`9A#Yh4M}hn6mY|RS0~B``~$d_}rtHR1ab25vy)n
z*f`XT<_^qyu(kdeY*tA3n#6B;EU6rYoeXQzN&F9`lk@@j;P1-@;c)rKh!inc`Mbq(
z7@QbNZy*RSD^t9PhVw%uKl8(sd&iDO!mU3t95`TRj$(;4_^~!^B{NKy@GUq4KAL=&
zmlNLZr?{;ie*U3$dK-M??6$%hSTj#AdNVxNC`#E4zoa|mvjKi7Z)HOMAN<_i_Jt0v
z^1AVK4E~qj@QDVtJDxo?0aI6NurtDABHxQR@c(3rW=r$>X8eD&F3HRd&q^KHOTM3V
z;h>o)ESIvxM85xA`yka`_{ex@-V)N=T#^$vgnyOAE>FTUnH@cP@X(Y*!cX{j0sYin
zSc~D0atq8b9uX4)&pAa5SHry5H2NOHTx)#|pJ4^J$~#f8!ivwe0yxc{UGzDep2+tr
z4?YkY>qq`C)(`VlErq88r}>lN89lC?V%Ton&HXiO`rrmb70lJZQ<w*zc7FAjq~H4@
zb6WwdIk~Q13nv;Go7BR7W*o8=@OhbHifWj9Q`y%-*epp{l#CCsuGZvv3xAjh{4x%o
zww^0bhRbrwZp^_x%MOQL!6T6ljbwblL7l?z4EWCT(*g1ruRtd)85a#(PVjwEguk(Q
z{(Av8Wwl*;0_Q#4bJh=j`|=kj84qI9GDYJ7#~xL?TL&xj-x0NgZH(1rYTz_^(>6<3
z`>XnmF8KI)oBWfoMS-e7C+ux~;H)96T*;OG2M#di71e|t#2L+IVJ-gOt%u={TEYB$
z7!RYH=M=Ob=K5{dzzwH|sO=Mi`KOn&q+yHr=0F};T)Wd!68^V0Z7(ZqDxbD42X~wJ
zJZFK0?gynFgbVFYsnfxXijxoYVQ0fn&o;otN}uF);Rw#>YRj9@AN4%ya~jt47u+)s
z_ZqS7IR#5hQa4Y+x41fM&%(-n<wwTh4hK5Eb8yr0_t-i3ldt+lPxAS@oBxn_sClrt
z7fdZGp!WwZol{*2ByqjgPrqR`<`AP>u#D!!&L!CYoyHs)Z}iD0Ds%xZVF}kJ<C*#z
zGk&bY6!`{YkKxxm$IVuWt>ToQ!hb3*yxoZNQQUHNFdp6@ws|)>zqc#&_mbem7>N#&
zAEm7=VwtezdaV`{tjsGO_!iDA{}#s%A6cFg$b(<1USVN_ABCEFeuQ_N33TR#{av`Y
z%3!To=6)`?S$e9n5@tCn5iSM?speg1ga>;+ZrBHhdI%Rc!}6@v7E&;G=&V&2EL)=6
zbO7E;W1rIlzcxB4A_w=dtuB)BXkRuM(@Vn-mv88k@o(8}7Iuno>5}>k8NW8v+tx+W
z+w)gx%)|9my%I;@v%-%?R$*a&y+mag^>_pskC%Jj%#@TrO}%T<WW3&^w9nOg@B-(C
zyJS4y!I{ckrm%rg`#v(>@1WrR$P+N7?FD}_9`IX<_~dDr=|B11JTL`)gw-jy_HUa9
zADplro@Wg&>~sBT0&jfT)MWsBv=u)%0h?HU@zsJ?w);t(h7XBw&Z@)e5t6qp;e95|
z$H?)_%<gCKf^V$Mv#7xdLl^UIz}}M71@iEB`rc(Se)CVK^?x$3OB-9#Eto0uk|xQ2
z*Bw<_Wc=soz|*|Fa99V`EE(VFppt6E4?k&3e?-QQju*7Fkn3p@HgY%|u6#M@L9X{j
z?R))C;6;0y@$IlvE2VTKajuXYHN3d{MMo_B-?yV_lyK?bj=hiJAdGUEL3#XA`?~H0
z{5&z#X$s!{<6JF?C$JQp?SLgzCY=6*=eK`tZH2ccI+r|!vssq;%HZC|6V_zBtG^q^
zqfan%yXaOj9(GM;uY4{n9F&}q42KSCrf0(vOd?b-;k*I6rI#?vsi!Yf;j&48=XiMh
zb&p;Od{r!hB?jit)S4#aZI1+|21mm=|8B*Q@wlqT3Pi(Tt&dakIdJD_^NUb8mO|`j
z7Q9=2NFxyT-M~xji1Erw)uD45@EHM7b7#0-;H<7bJbK~5vzxHuVzu~DIQVzstT%io
z;%SHxT<6<n{vO_#OPi<+TP`J2zk}y$m5&{SRl}=Z<-y^NZH3aX(xzAgGXA{Taf_`e
z9A%y}Qv^TCjqTV2Pg_{1lkw_8muLmp;XG~EpC#}LPfQdmyt6~~K{0$xp;?guKJTr6
zpb|EcvdpA|AEy5eEQROB>sFR%@cwP`pFj=FtZC-D2rE2nXe8-vhr)Kuz_0JuUu=YP
zgV}CR!lk2EKa=$4O1C?{!o9wZwk>e28iQ63EF!1G&;)ax)tqX9#Xj*E_Q926$6D%P
ze#5DMy|CtZkViQjv8_a592QRZI{gV&xe@yF7u>lek17{-rE$GA1Ao*Nzm^T>IUYJN
z1;3Ya;!KBW`)4k%!k0V^*OK5poVlFKa12%0s~4~l)%`*$%m=u!X@&I}%qf4|jshNI
zlP`V*Z}D%}H->NaQa^WxuNd4|G=g8a=&N6ZIj)PxoPuLVALcm2^Do^;_27?{tN)I`
z&Iekw$$W?34LKni@Ti^aGgVkIM)iv{yn{1xnap?C@!#C}gK#YCW&;`c(_hbQA=rP`
zAyW)iUJ_E<15am7Q0{?EzP=9M2|xO9+<F%r*l)nc30Elm$mW8#={34;f%n_%Z{Gng
z>btIPh3&n#i<#lpM`?-Fu#4E+Gh{wQW9n8`D)^b$-;GT0mYWps2R5RADsdx;%%5Nv
zvJvQm#f12mSm6HNo+}No)#v9=IpM>j@;_?fH&fbEtnh}g_mUssIKjd&9{BAlQ(`WB
z@V3JcJA5hp?rajgWY!))j{nlRk#mW#`t~$YURZE)H{CP%M8dWPA^7=bAFmkL$9&k0
z%=fs-QLsB4{`N|fjm!se^<|C<gU3#BmXiE&XE#*51;^RASxdm*s}eH;;m6E6bmH*N
zu_5D|FiqZ|D4D;al42U_3K!*Z2b#gJXjy)^!GcnGpY7nOzPpu|;o6uLb~0b4&Rd<=
z6Q-U>>y3sT7LQgs!u9WrgCk+q>1Y=lxL`ws;4`>i^FyB%{Jui2DF)7|*l^1X-q>;Z
zVm!Rho^QbzmU^_4{XclGtLqD0c*^QneiE#CDuhu7KEd(ZCK0~+tMh{@?3Ku~AstrY
zo)T7uc~5^%e+}Q4KHMY=7bT4AzJoWvH&T&?Uzj|Y&x8Yy$B*oT^USlNKfqZW?@#W5
z2Wd@I$b78hM>bIGf<5c63>3h!#>|&_;F2SGQn~OF|NBq$aNU0mZN+f#<B|h(@RZ#p
z??U*M5>poye8=C9yBwZc;XFzKuc`A_mBI%^U1k=j(O=^hv#)_=rLSB6g;%~dY^#Ew
zk5_J<gsZQ#y(RO>Y!BDp7=zun?4YiN<Mv&u?uLiunG;)Jo`I`!U*J0C_j*n69Bbu3
zBRoQpHrWXu+)-sz54TlMsI<cRRL*e)@EfDA1KqIRIVYxkxYf7f8;OUsS#OGiWBguw
z_rQ{G&w4zEi#2HK$nn`14`!Le-%cy+D}miOdQ>f83%X1nl3&w-S03uZV_GA9?_uG7
zTV4aWH~)g<8~8!nqKgvzl`APC8D13oxuODd8p#ePz&07zjvaubdfYW*VTw(sdn93b
zP0g7na9n$w|6cfPTZmyeY^E8oO$`3yXR#Cp8#q?x3cyWFapt$-U4IfZg<&1a8`Qz@
zb=RMhJn*-uB3p0RYFm-lE?BuLmf<G6ZE$rrJKWwS&_w3DvEKSmm8AdWN_T^le~ZX(
zzjnZDA+0gTVfzCIqPXE_N#$yWaPT=tMG}`~4zMNl+jW=6zqsHFxxNf!zSq@?h6mf>
zEvf$+g<-oN`!dMy{dvFcAqew$S{XCJMe&N=+_3n^P2XAI*MqiSNc|FCAKSIG0nc0P
zuMaZ9#&e4Ht8i*#d*~K;<Ey7R6EL$F_XMfm73yTvr{VdNa?zxISIV*(ABLCKYD|Bl
zJy^C1-AvLSzn`2w2V19}wf+Np%Gx)4h3o98=~v)U&%?X>;RjA%&r{=gn61;lllE-J
z_Im&=?BwGk*9x1{7WI<jzxcB6Um1LN;lm;;{9jDEK?VFwF~W!!zP`H3NZRvTyuPmF
zdO6ouohR-6;f)qmqA;J>SjAhCzN^7R9PU}j;w1eA1I@I|gK!P&c<)QN^KEdQB7ETE
z8;K-X^pmZC27KP5BK!rcZ`zQh1#e&6p!f{d6`wq%44a)1U%3arD1Pgv4lf*WOS%jH
z*U`XDzHi%jC=HoU*3=-9PReV(snBU3IAEvM5-D#wLMjDr@S$zlA*8$>&3JVF8a%Dm
zAT9zc`Da#;{!rry?qX72Z%Wv3T!3l1j&0?De~bEio`o-uL_H<tL&$Vc;0*ltV45l^
zAB?7y!KUydtC=Q}f2$>S;>K`04YfN1e7fTH16?>pQ+*@J@Ab>GayoFTx@r1mxZ894
z(<AV^XW{a6@BxP)brsnAcl;m~9O{;wcnB`E?z*@U4o~7TkcIW=M_5UDx{{~zW<OjJ
zwe!_F%)7VXlqf9xL{N7DzOOQnPv*1r9y;Fh4<4AavL*A~wnkX`|0ZU*Rn7q~>jX2B
z@}$ld!OjZXaXhj74$q$|yuko7w&joiguSxuZ)}1`0viYF;YHP$?sfDx>voU2Ho>71
zf%_+6qjzgb_uwu0bzx*a+RoywG7sR!&KD2L;9nY_SDE0|Bf{df@W<qei;QsFi7D|y
zcttt%)Hf<TujP3>%!cca1&s8=k5s6_N&nY*zxmfn`1kaq->+asejUdexQOl39GO4n
z>+)LL2NoJ~G`<5<<%V|p!7_rUQiEWv7%PEG@SgDxPGr8;<}=$>uEQL@xvXS9*DH<X
zVP|;8%+B2jmhNu6b`gFc>dfx|PqSrn+QTYaxB{(V@$!Jz4)85r;r&)Hjk%qnHN1oO
zT7w--U-_i$3_Qp3`UZJ^dfFv;<}jS^II{CR{IT<7vpoF0Y5ubfELf}HE(!Ati=T6Z
z|HsjN$8+`laR3*YS!qy7NupsS*&`*Jk`PixWQ8Il`J!wkB&39_%pzG8lD)DbL}o;?
zm63k0^ZWDpc%RSbu5-`5XWr1wc0Yt*M<qFCEBN`nGhux20nQuQ4zT`iPfA`m)z$05
zHJE*`X*wq??%NYZ>Sw~#ukW+Nszt*JWd7RMv=~tq`0zBtpbxCH_AZqXcIVo1&kKHh
zAW3s0Jht`t;Q-jUva)Og>>@AINzR|1OQz-W2Gq~)J8dQPt&E$aY71~*m`fR{pM}*l
z%}&CP$3reXh7TP4ZvF!n9J^0X>Q`?lKQRo#0qb!uNc}52d*pUM?C|HA&Qtgsb2CpT
zZ1pL9j?|ars0JUk!|9djafvY7&w7~#Si|V0Ogh|mus5d`{-K^TmI~{}R_T_*lFxJe
zbKp?!_L}#wL}=F0EI4&Xsr?&RIytT7HLNvJJCFxI3rY6Kg{f`w12SL()7YKG@E+fH
z%W3cd#i*(R*gfP$LOlGu+y6=_OgEj)76<=&{a*=5uW{So<R0Ac-O}I#{7fOZEeO`?
zH``bS`_;I(`@nx%PA65vI-RbQ|G^6%PiR%bUxu$lxWHVSRzlk0j4ET7>+s308L?J)
zi<8D~Yxu0kwJqcDfET}$DU5f)QgXlD9^J9i0N&em(3sqhAy;Vc>A@;<bgxPJ6FC#z
zr{PSiCT%j`RPaHk`YAZ8ASaE?FHNZ~ek=ml)!Qh|!;bXHn}p#SiBrlyVc~IC3U>Hz
z?ffW-^QD;H*b284_DN5}X;G)jsbI%Zzn&%7=gnb}4RFHPEx!fWWs0-=4+YBi&%5`p
z!4tZa>PxU-`{qx}u>H1$*(vy+_seS=P~P0F=`^2&eQrJHAmvRoa~;Dld~;l?kOpxL
zhV<J5@Qc19W*gz@FHd;Bz!jUyDHvf@F84>D;moyHne^~YXFHiD_{Q7%aSnL!<L<q+
zFr$CrLsI^Y6tmTo!RbL2ExfSfzk-Ysm_{(ug9kqSC|f%ZzT=WsBmy(EDjv^<3l>7m
zh2at!*{{hkJLi;~GCcdl|7aY1>RkN~MYuM|=Sw8~l$NE+2>!7@OW-~{vN+;kK+@Nz
zclg2yrM5p@VI{+hPj10Fr^F*~!fh?aCvU(T-^w`LgV!15qix_1Pi|F)!WNoRGbApv
zw^}wE&QrQmU<I$FustO6!RsR3Sg!v+ZtVAy{GLhm$wj#0-fy7^nEkHN$@B2sfi#8<
zcpr&592%toTkP3xLIoec<~B{@W%tjlllK{}na?KY;ICC5b(mo5z|vwvxHv>CjMVq`
z%-KHGg;T#CmF9-Un8md$;Zj}uZhkoMt6!NpyreNFco_cZX3b#-N7o58iNK;JuY;`N
z5Q^e`r2fgO^Js|d|C^y>mlff9zg<-%J%dM8z7kwku(JCm+{Y(3OX^R<|2a@N!r|Os
zlrF$iQ|bn8utu6cw*&lAu{Vpv|L`37|M~;6-LI+L;rr_?+JT7wP2O!lws&ydCoLFW
zyEK<e;=98qhe>^DFq<dR8QwOREJ^B9Z7GXCZ^N%&c6TMgN4#h+k?ZGqHb#KdmmW5C
z72JUhHa9n9!+*<0_`Kn@*>LVx@V6_ky#wLR1+`_QKBMpWcGeG$=nUUh0;k#rs)fQ|
z<LX|M`ifv!$lDNDc0HP&)MsV}^|q4ym0#PE)&P6&(e(?5SFMu&Ho@67T>X#Xr(*q2
zKEtQEIL<`FP1_4+yWl>~fwXuyY;5)cSx>|JUIz!szb|Q9Mh9Wn!Px65aCq+~-yiU9
zo8Y16aI*At_ayAH?TmCL9LILVZ64lND4F#Fev!Aec@gd@THBZlE31SuP-8ujw#${@
zN&0qGFB4k$M7*zjJ{<gF=_y&C#J5+9`z1_q<)6}4*skezZ7N(!ZFQFi&e?DvBN6`a
z)J}jK{`t^an;f6*v)BfHSUy~`A_~4O^6cgTcz>p+H93FB7OJ-h!k_2VddT^^;8*wl
zFl-X}z~?T!pLWXV80>VwaE@G`OOJk0AB7Xn#6KqaN3n}BSpwdE<SK&;T-LGmIf=W4
zh*22BjFEgNB;lOlzmDX7crPz0Cj#d?HCQUZ5w}l#CGia9h%PzUFvCrd>`x8d@UCs}
zxqbGH$Ki&c%zJDweO|uv5#qhC56=EmKS5vC(77L$m;GKe4<9HMy3GXdj8;-efD8VZ
z_mlH$Fm2QF9HxDFva<u{KZWjb!2G)U3H8!Or>}7O>ySS)uuliu4N{-oyf<pN6h2B3
z$U^F;^AAGKzk~T?OPNXi)zq3%EeTc_=gT7TjPo1bCcySNow_7{osCS__kvFq9i1oJ
zbKVkPdmFY+_L(DbhsQfh&EZ9X)(0g2Ej?rrGKG^W4?Q5;&r%KAuL3hP+aDqS|G3Qa
z(P>!O-@u2|r)T7vhecsi;YVDge%!|X;k*cJSh2dB)Q`6eNT}_ALw+89OX7N>hu?08
z6*Ts+lI^9~+@hy}&#^0Klj9%cw!K9K&t%C^et};qmekJuRX;J!aWS6c{~wpqC1+sQ
z5uF86-xjz36YvdopS1}m>)F^&j{f-y|D3z>y$==`6IE`6HzYdU9feJ6_7>H_E!i^y
zWPKY3UzN)r;77Yx>L=i?oTDwJu=$yVJ>TK96d$e}_=3seyD8ZHnDv89cvtQ0W^%v1
z+Fslj3+vpP$eDqIXydhF;7uGqsD8rSUB8|Nz)`l{3FQ8xJlxLY2P?_<EdGM$zVEx}
z3`>YsL@dF5anw!M;X&D|v03taCEZ=7utrC+?=rm0MC{%rczR1l_X3>0;Mb!G53BpQ
ztigHLE!5RvpAUfzzu};{{Krx-+Y^1Oe{gbJ1cL<puJZI%a=c@v-zR>qsh{}4^st_s
zzdNbx?$hv_e@AW(z}ubna*x5$>K<Rn^?2QS?9~tWxW~@BBtNt)=;#l^t##JlNq%v-
zX7+s;mJw$TZ-jS^dEf6PzYn~$K+3~+?!lb>aKkaW_zHMgHSObPIIQ%A1!@0y@i}X-
z2X3h`WX*;7MydnbV8soYPU)~{Uj;i!e@exSi?oMmp6o4cgqs6nGs*KI<6Xi^C+uu*
zqUR6a7s^j;hAA6ly~*=sfX!Ho#2JNH4qt;OGwl|e;Ikt`=k?%In`RQp|5sO+{nLT(
z)~~9Nc-lhkz2ory^<BPQ@aoNc@nf)i!@k3x;7$Jarkt=x@tH32|08}DjHJEvSoXR9
z$oAK#w~3MGH9foGArfy1-4;R(_t+ZVCFjF8EIpsJN81ja6#5SD)p>oHybtU;E#KJ(
z|H$5apbtKm?=U|E=Qs1T_Q3hN*0JP#wJmx@H^70$fra1TM(5a*q<#H`tk)&7zrJEz
zc6o5zG7|%di;60;llFqE6dQ8M{>YX@_a(qz;uf38_2SxI9Z1>(T!u%T+hMlm>B%VA
z+`@p0qz}K!6CDXJY*5J{=jZwd7h^wI(vG`^TraNTJUY@Ikgm*RUr&B-^wpO1Z%_$4
zt&!`cAGVv_9d<G^PO60akE`6e4o_VvJz4|jzX;`ZfG_+?{Zb0IYL^6Fg%=s9u6}?+
zKk0lkg9oHq@?XJXnz<=D@SO~|);Dmv8?ClBOd)yEEgQ}}B9^ZTvn8j~ko3<Ug<mG`
zgK<G2=oeBy!9M<rm(=eSt2yek;N36JwH}ARPW*OEh7~_$M<0M?%bo70!^R6cPLcZj
z6wg`FM3_bJsT~unv2~*V1>DoRg<}(ZAilyc0k-Cr^PqyCOHXY{f>S8p9w6`23A-yx
zV&T+#EK{?1pXPbLsVg3yZ-|T`@9+Bk-#nvXCz`U=G1z2qZ4*h)e^)h))Gx{nKIMhO
zp&y(X`e7>9u@jMSn#ab1Uigtx(O3w)`d)ZP2h8?g!_81QzV4#qC%8z;`lBZtB7DES
z1`c#~(e{S7dRTRq!}3ABr?0{ad<l}IKINM|*lrDbevXzQ{adAGa<ymSiR#XH(tj3m
zT~<#A&M^`HodPe0H6)#cOI>amlKSPb=aolK!~fkirGEr#6n<{xfi3^#*xiS9o>Uti
zfUjp8Ig$GB$vl-)3#;lU1npN@Nd5PS@ufGjaNF@nduMn`RBbW`W_4$3vxCzb4!h^V
zE3}V&%;C<DEL+3i>{pzlr2q7Tz>mZT_>bA5j6N*!NO#%?mJ#+$I0K{C#M2kvcHJmh
z1rB6aylx8{-kqRTfX_LwVkJfO6BKPDmt|n%Pd7A-;eI-|kD@TmA<3T0un4`+E@4=m
zJ(}+foOOl6iyv-v)_<c72W=Pb;(-mPUr{Q+sZkA5oN&__+ptrxSV`aa9WXcNc5!L=
zq1-JsHdrjWp;8te-I@8E38vTD%_ac<{HRVt1G6<Y#tXsPCvzD7k^b!NvWMGYTVYH;
zhVPxU;>MR~PZ%E-ZJ2~DWuncdS8zR_+`dZs#}BJ6bo_+pwl8rG!_GVg=6Nt((1GF!
zxQDjn^Gi55I-rKE&$8i?LhcpVLD}gr>A$x~>6E()&#-a$*1<a}=<eyk7sqJFKftYw
zF*^)ks%VqQGWg0Nq4KkEvxD}ZLU{c_v8E1eXY?}p4SbyX%z_&HR3ed%j6cZt>+sQp
z1x+@-$%G@%S@EBS>lA)-B*SY{<8PE<^_0t1WIRJ4o5w|YST{uHAQ|t_RlD><0se64
z!)G!cV%zC}FiH5twgO2qUP5d8`feFGVut@a8BZZUaj)_ieE%Dlnm=saxvnh+moG&v
zk?|Nzl=uD!z%mo}|36-XpMKd-7}k*8M0*SIfP212_+hQ%RJJ$Z@SLB;hu~S!a7SA>
z^nPIWX87y%unsaFB=N})sjcwU@C<>=u#3R&04kVeK090=-YkD^8x1U1l{BLcH?@rD
zeqB~S!I_nRo~$2J5-&E~52sS8Fp=>tE>gLU$uP4Fce*rez;bms5nj*Kcq0HiOr5KD
zfJ^8$YafTV`D~KC28U=YQ5}I-_x<ivhnJYL;*Y^mO0QH^VWIMo6cYce%Oxue+tEBw
zAlqY@>wGBypHhihI0R?8y;Ws|Bj%5Wk?}U2$<FWS;diP(p6-VyC>4^r{-~e0XKb>8
zjMw?1<|Et#8&Fi$u48=9l$mVuHF#H)nZR#&EXVe!BTOG5FFFH1OUT}@4-eUn#Eioa
zyE}3X;9EU?bHnf%x72kNxZsPw{#V%VO-+b8Ts{|?+XcTKiu@u4GwmL`RSO%&)Xd4l
z^Wh78)$kR*!;i(`S?-vUG*~g}Qj-FlC7gdX1#T37?<5JwNBt8f<DFJ#-rtvlKi*Xf
zA?x29;Jw)+0FP<TPY1zH@z<^j!xe?vS!Dg1;47c!7k{gtc+B!p*$3voH)1&t&pODT
zxdm^P9W&^G|7qTwAn^}h7cov0&(H3c(O$4FlZMkLc>VT(NC4csr2oAUev_<w{|>y|
zzVX;Q`0_7LezLyKO)i$yV)*&Nzv5&)9ibfNdjYU*+}KlRn78{cM=-pHvMKo*e5ZJB
z({=d0P`CU|_+vYbmpy!$l5^1(?ypki(1eYmcZ4~?#~dz&sKJi*95HtA&t=X3juHnm
z93%fPy~}J?5Vliu7`K6yX5xaG;9Xfkn&xox4L^2PxGhoegDSkB|57G@3HR67tdTbC
z*Vg_r7d|8Ktv~~|8#7%?fb)06YM+OPDliifX3Ov~Q-Z($;nTH)kGgl)ko9^JAFdDD
z!?Pv-JdeX^rZgU!Four|3&7Fs9kgd*n*RB)!?3i{)*NM6@P6pwW3c3;68C91AyHZM
z2&~0Jz4ZvZ@};wx#J8g7`XFp}`*9bE&!o(|v%;)0yKjiXx1@Ndm|%)unoUCR3xVg7
ze;09lx^-8@VP>ATtQC0b=vsvcJV|k8`3GEk!oiq~zZ2H?v>Ss@&MR1w?bT$6Uv7r0
zgVQO<`a~UW7Hti14o0pXg{v+Y+GfBTDtxphVUIU~{b_I%*LFH#`1pvMt3Ny&Wb&MB
zKkQT5#9d<Fi<u<eu4K?>17CN4a#{kOP7gS11?NyEYLWjB(h@&)2EOUtF;3!^2Q3OT
zVC{yZisX3Ro^(^nz~^T#_LKdS>Y{d$gc~g1Ns{fAAG=k-4|5*>)=sXEbxZQ`1F&l2
z!dDWHF+Io61dHuwbd`rUy4-%k059!xZX@TTz;AkNc>&KCp1XD@Vb)c4qu;P)V9HIh
zy&o|jHT&V`Z0RhgU>g6)@?JP1c84w5Ub%`fQv-axX)86!FAY(5y=&p$UI8WwaM!8D
z#zOdk(XAB~xNUC7i8pYD#I&v=%pV+bFBztL-#x7kZ;Q?Omk7VBJgcq@=j__65e_fR
zii~Q(5%(0zLSgRzenpV{J05(?!XNIq(Qt(1-^J69zubifo}3Ik0~fyE#OnkHNwV+L
zhu?Mc$2h`Poo$~;`h7ZPa#nDh^mFTrux|0~TnqSn`$cv`IIpNc-xyA(;LA0IH(NK?
z8^R`$1D7ttroZT}pM&29ru?yl=f-!BoPh_~FQs0Ak1t#ZR))LUcb~9>*ClNKD#ELj
z51w3w{ptr*MPVK*rQ;5;p5xrRqwqeue?ugF^pb%2LHM_5?rmo{<-2s}0obL*>JVA4
z>+_uJZ7z7Fa$6-S54i;HPVa&T82$E;^2WV<ReBR#mT|C{lvnLW)Gz7a!}^1kq<s7{
zq@YUy*T3_oAmv?DtxE0Rd6chL#B)gbnDN=qei1$t(W*?!$9vSlgLCl9;{l7la9~VL
zzyv&Wi1WccxR9-GWei@gYmp)4W!z!f#BVTVfJrAQ&v(pFZ|#FsJL`_#hby1nF=>Q{
zWwaY2Ve<;F_BwdW6t#N<%&%AK{s9i%704C~vsV}WEQL*Kq|2k>>Tkaz3gC+OMF#OO
zL+mtlJ}hBjOB)A2l@!X#goAj76UcgO;&S`<q{A<&BekBx+2&WO65yX2wBzY;Ql6f~
zGx$of%_;JHGIQ(ly$`!~bbQT%gZXQJ2g7ZF{=pe=OD)~AJMa(hNuE5|;NudjH@qVJ
zwDl$I^FzGQ72YwsYEuZ?3Gy7e36DL^<ah&L@43=q2ea|g<h_GytTj*BzzL1{mrLNx
zCl7v@!ULQP%O7Cdn>R0BhV?zKo_`N7>8!laf|FeHrz+uJq4>Hd93gD}qymnT=B_ve
zQ_g3I*27dED32?^@6#>})xbXUr+Xz}U6CgqpJ20(`?bVix$LD*l73fGW-KqvFeL2Q
z2FrB>GV#DNFZy@4z-~T`uXn-<DO(D=V2;132RLBOtL0Zd!~29M8(HA+BQt-$!ZJ%0
z@=UOBg{lD=uT0aWes66K@2^L%&wYdK*17*J!&j-f68d1?EX$Nx_?+ws$x(O<mlVe|
z+{XCx`w$$b?N$06W@DoFo`9K|&mJ9tbKaZulJvFHJ)Z5bgVjyvDfj_X#!L&$W#Hxc
z9cH(1A1;Iw!veSef;X-z>%D>LDp!wo!$}f}f;O;i4D;hw`1R-7w|1~eU+h97%uKID
zcM%S6&o!!ot+TE^x&(_!{YU>1?$k||)`NXSqa5GDC$@j6y#RZ(UF9l<7unbB&%)y^
z-hR2T!{U~;bMVnr{bMBm*qzaQt_D}VxE`AZuc(>`X~Oz%G*w9cR9K7ttO&EevwBJL
z`^c75Gi7-8pQ`Z_*n{gUojg3mU|IPP7S$PjqyRtLd3^5!m@!auNEr53)(s%{x6sG4
z4#(h(KO)1VJoxCJ|8^gIM_FIZ1J<w2RpEurf5@CC<&o`#yfh;`;cE4klvl00#A=yg
z=R*!o<bCA2-k8bMEcSPMN{<n|)%5e!H2lG<ZiJM-EbQ6?o$!EEu;)cs^Q@&#2Ygki
zC_oqXK00vvEv(^oZLcxxI<!z!1b6>VKBNaX{j$r9hf|uhK9aZ_yAM|!>}zgzoor8@
zHN7$tcA}zXAp2u;w?sSwW{%uZWCFKu814&#5Bx1UYXy6k&7KW_`GoqjNczWOr{Y}T
ziBmUEllQf&x@TFP;d7$_^CbOtE%yRjSnK1CdycSm;oXDQu#d@MDSNo!c=jg~_$_Tw
z8!3;Ye&nCL1eYY#dON{)ruxTqVX4h$caZZtH92gg12d#vu5p8%Z!%M=!|mS&FMGo`
zN?C8Jz#fh>O#i`;nxuD~fFqo)rTW2qrqZFZ@RyWeO7gxNzZ~9k1Rg&BFE$W1{q;ce
z5Nw^x_4_VN?fCui4)`Wx$b%60Z`BYZJ1p}sYtkRC5tcNdfsJEXeaU*2OJm0xsbDL0
z(E;*4-YXr<F+YRn!TJL?Qof%)e>Y?X{@eYggFFwE!n?b^!M7zblN=snXjSWjvxGQz
zk@DTma&4vqesjU*^<%jF(5!hIETk94@(5luQhD_O4msSJ_7wK;k>)9byF`BIlIH=J
z{?)nyxViP<uSEE4jlN7i%>G&WDS00F?DHMUgfnDaMalhhrSH0KIy@&6I7FTYdrF_J
zCcuXsN^g<!{msW9`)9D5O*20!-`5WoZjFKsE&t)$cR0RV@c|FvWA=M?XT#m)EA4mS
z)a@#7^5N?@29>-?oaX}S{aDZE9Ltm|Z2HJ!mE7;lXXY>8geji|r<3QwKt4CkHTYNe
z3xzUxdX>`M22SoTn0^PVj2+!$2J4P|3LxeC4tLgw%P{A^$zhVdw9dX?3x1Hh=0VEy
ziFfMS8gOb2!y!^0N$&IbeF~mBwY`FrS4T{AZ4}@GdOVJ#d|y%XW0i!Jo*twl<$GcK
z#k*qg;kHv(n&4AB??3UvqE!lO9q?tQhbMX9p>eGYl77dHkK;Sxt`y~yJuqWhlo1E~
zdfoIHDgR9;ey7pGSyt!7NO@l9UAL1OKK#=@f|UPXvJPEcm`47m(myl+$0V<G&%zgT
zZ~FJb?!`t22I0t?x?IEX3${a#`$=5O<yJqe$Qm-*1UHsxvXS!qTfP2;2Kc^>A18U9
zyiyxi%Y!}bwDU<^!!!T=OZa8uEmrdUU^}#xAs*g%TkgdVcwcG%?Wb@Ljm^eUI7COT
zE(A_8=Y9GUW>KY;34*zH==>RjIcqEf-QepyG-1>5HZH-{n{XJF*iZ62D)zmvYysbX
zJ8*XnJ|e4AVg{S!|2aAX>j~U7F@zJup4I(^i-eWh_2J&bZ(JAQGpR1_XW$!dx-5U;
z=L=##HDG!h+xIJQ()85`MfjgLjV>i=4+!L?J_#?{@1mlBb?EgoCE>GYb7N`Yh^ft7
z;&7%^l?pX%K7XoG5EgYGaoq}^@_&_n5VkzEz{>_x^N*b2hX1kz|Kx{_TBp)>zz^dh
zVh_Mcy!*8_!x9hKL<C{kz=m>WSabKzfy3}mQ_8C}aELDx3u!-jIjgL(0nYrz`d$Lo
zz3M&p=a>2kH51?SC*Z(HE{i32rP`lT4u0@Jf736Ri)!)lX}E)S-g6R89a>%_={;R7
z>U-c{jhFAMz_!}|WWK<4r_H35VA^Vl;ZJb-N=2I{%rf~&w+W6~uMt#*KWm<P{tnJF
z-CKPYzSr?(YYE&N#<!2mPfFXPVVVxBJa;YDftlzA+Ed~2l8EbSF!iBIJ3n~m$qu@6
zuyo>uZ+GB`%54s0`@-(_Tn4aj%4r%cxb)G+a6Nds?l!A399WiiR~FWlO-v*4bLVB3
zq+qJ4!CVqANbMizhX2j2sGNb{zjiX(0~hNZN+H|-5!Ii@3_sW;Ekm}SLVaT=BYY{=
zE`}WMbjw%E)hW~`)}4iPVbetW?msYf(Tfmryw&HsdB@?Z`WO2yz>EIYF{5z#%l`k!
z@!Ia|80mn+uXk=E^Rx5{%=Ft}v1_v*N&43(V*b{_0xQFYCUEbb{f;$oE!ECKl71-r
z!Mg%@N`9jjX`ie6wL>T$9@E^jM$$XXo%x&zE9!21Xa&dq*QJ~eZ!+Ohu!Oy6nSUj~
zX(H=g*Wj7{2$N^9oD{o1Y5&_YRYwyA@BT8&=>#{kXt+Ow1HaNYIKqNSclU(Ad8fab
zy1`<bsUia5-%3j?E^x;|X$f!G!J|6W6XqW-%<zOG+`pdpfa!c@&fbJCxu;FufiwMV
zKHh+@IKO-B4OhHKvbKT0&z`P%0Ec*nYFWUmO?o%)!)7vd3m4(;wGc_tzIp|V3+lpB
z&mN7D_SM_(H0Lzn@ch49bK%z2?On=no!W}!YdGDwOZY78uaWb&1l}%oJV_G{j?Kv|
zf*U7ps-A}L7UnyAg8wdfB*?<G@7{lCg;UnVS4jMlW{KZ8EEdn9EeGe8Hg}Qs==Ro@
z3?=x#iVsgVp#8gv@!ke`xGR2eiVD`TIblThM_ONsQ4+Quv$}O0RxR3CA_fcazuPMS
zZ(?fAxCqZh@)+%f`TpL&U<luR<FSDQ*6WMOBkR+j2?(uYf{l&FH+sOk7)5xt!*X_G
zM}y%KzkRfu;fqr8zW3lV^^Yby;Fm?EJ0oGs5BY5*z4_Z+*P`Ha-*k@bflHHi#*+RL
z4Vi<iJK^9Zub*k~<tJ6v```eRe|KKOukWPylJs+9)}P7vxCBYX<NUDF`3YOnKXXc+
zCyf`@VKpp$3)5)5qY#9b|LZ;f5ni|+b>lD`;a;;$`g_u|D|uz$4K$izq(A6jcTBV-
z9Hm${M8>zV(+JKgz-sMh+`Hl4Gk?v<`Hfa;ZRmv~JHp<P^BdB2!E6|QCSxQ>u2-1X
zw|vq+#kpfDfL!k~HY;^9{>?5vZ&?k#Gd&+S4QI8V)X{;*eLY2g!%}WkRV2SSL@@^}
z!}1#=xC~%w!N<Eve;HkkW|$tV<1FMz`qSz%dVXAjy+ak_*x=Db#U_%Tm3Mf0EBv6k
z`G6VxEbW><C)~4gJLWRHeq(bt7cA~dJ$DsO`~B2`^zRkd<(ON*Uw@yj;D>ADj=#SK
z&rM#O7Kc^yZzWj4PBP3VrQpML>&uR?fm{YP>2H+Cuhz1LAFWtkApMcd^GYwS!`{61
zjA8Hr9(_?`SiSS~<p|hjNArEMy`RoJ#iT!W{gaE15geXH&q&5^Z|WY;GKU!tntvkw
zxua@p6y$ysYCONM5q{ulV|WGLnx8y61iuNqkVE1b6^Rm~@UM{yTJrx7w~eoo`ApY>
zLX61vA3d1ST8H<t%;l5#@tlYkr2qOnccnYoep62RDw&VtT+G`}wx97#Oji~@S5Xj6
z&Tkd(#TW8$iQSf2Q`k+C^RpH#N_ncCZ2uLj8oxF?_Veix^8X^G=95?9*{Dh{vi)p|
zI5``*En{aliEm@i-rxiK{^C4Bu4irK?D@N}&tV5YOW5~;dQKvI_`QTG`TyG=pKVBn
zcQN`uC&%AoG;B!56L3Cawlst{Y(Jet#v2ST>Xnh}&+Fk#OU8R#b9r{>0&Mnn#E^^!
z`940_YXV1#pHSO`@j2Ih6Ijl}wHy_3Wc<#B**+_>J>TW$9j@>;_jBPA@NoR1_f1$v
zd%uJ*tikHo{Scme#<0Q*7g`kgg~Pfh2NHI}0u4jC2{7lEQXf*DoTKKu^bD5Zh~j63
z|1BP0NP)fTDISyZB~i#dAqi#<`yx*bn@`>m%Y+#ooOneE2kfsJdI8h+aOki6M0+(y
zBXbe_J@uRTB1|X7@b(S-B(%8yC){w2R{K5deUanL1Z*6l__qX3s+(IJginXcJgk6K
zMzk!y!FHK$^5t-M=Ru|}*vsAaa}9h_?yhGCEEkpPQw1v&T-x7A;zE(^P4G3FH<5L4
zpL+Ahdid+raOn@Q-m3zGHn`PlG_w>w-#AU(0>7C2aIOHRTWfpL1=~n&`S=>nVc(?k
z8O~OivCf2_v;FA%3QK>L>v;js3+xT<fhVjveG=d!3xD<u!7AETvvIHhi%{b?*!YT4
z%p*8AfzoUY4vTp}_Yk&xE6zL$Gat2o84SyC&?Ntacje{p353%{q_CnT`Zrr1R(rwC
zR`njsuu&p=+ATQ1YK8ANJZtnv^9KBv;<gU?KAyOUgWxrI%lEW@<a>Jm1!;f20xyZR
zmhXh?o=@-^!@I{8?Koi8oKKDC;XW3<7(O^*d4Kj9I5@>ckr#fFxaqtyEbX?p=LpRE
z@@S<Z+`@Fi{}Al+mBUsB9uf-3m4pRqjMT;99huLK#bNny#W_LPdqsX;4mP(pH9G=l
z-877sfji%;(eH=D!{$U4;gzu~?%Z(UCdNSpxapnN-W~AyQXxidxO%{yVk<1a=X8-4
ztaZ*JZ4<m!(4wgaAJK4Or-y&Bk1p%LY^TghDPS27+XqJQpCCuU^+~j^=tqu`^uaSK
zx2IqsJ2uZtaO)G@pA)d#*nxu=;oF-|J{*EOYvN1I;dUwwssXs}OYQc{@Q4ww_9r;U
zMl#D1PAn4m&<Gn*XkEAh(<Sb-s)T2ai>GYi9<{w+KEUti8y{Q4u|-T?#W2I}V?x*A
zfS0V(1@IPg!vH(Dfa<4AD$FWZ#OVw(U!KZJf~$%KogLuW$F(aFu<vPc23Po<L9I;~
z{C&a9>;|mlkyPXbyB&M=+a10epUCeC2e9{_xe4c|-FC5q|IzY{-iED&-M?GIZ};lR
zy1`<5&Wjqrhd(}O^MXwn&m`-?F{~AbJmBiVgL9{07K^1a^1aNf$9T+6!GdFlIR1mp
zr~kebfy<}#vi)H1l*K*5a76NbY9E+ZrRCZlSj#v!HV}SpR^7)57mm`$llVd1`)yS4
zkk~%aAo#)Los%2jkc++&WP6nxRK&+8(BG>R-bCW_TV&HlVe8BuL2^C@VjuKBhficT
zekA+D8yBRN0P~vBH#x##982Q%u=dJ9335Gpf){HXVV|N)u_S*43ex=(fD5UjsLA&}
zkL_L!6^6GRpDs8JCz{?k!~)kh3hyKNJN2M($!3_5Nr#W*e+k2>oIgMC{OWoVAq0P6
zYn5AtH*54n^TUn37mf|VF{+2C$oC_+`W^o`0$<5n%V&odh5|2rgmu^S_Og=STNwYU
zg0Foje>9H!pWB$0QUX3ubMz4Tp64yI(>IR8x0dbiPQu+MzLf2U*<N?C&%@3cTZQ+*
z9vtk~f5DyhX`Y*5N`F`CB{*MZXo?y3<|@843$u(lORtaP{q)4<dGftaksUdit1$PD
zym*rSa)#@<d6<HZT9kaRwCZ3^#SAPxm^?tf7dj>HW<3r&$IUsD^5_X;R`)3U)g_#J
z16-Bn;@t<|r097=zK2@;A#J7yX6kV@BjwrG!5h(SFx}C&OXT~hdsGu?Tj0+O7m_x?
z3cu`fYG4_mDDf?D^Ya+4Dp;OgWQ3frsm3c+@8E5#Hg2T6YiPcIyad+&OwGF;{_bh`
zH5Yy!DOtQ5W^eM=cnR-!Xt&q}AK9Qap9-rx2!@jKF4Qr+JrQ0Ju9PCzFXe>Et;cZB
z^~q*(eS1wjC!*l4W8NMD@c0{z@KE@KctsK^?`&&4uLr?*2hN?9f<240IDBB%q-!Gz
z@TYXM!2jS}jlW^?aN8bHAs6`5S2kW{`2MBS@lJ4ye_|^sF9QwOm2BaFkz5N6IBS%*
zzzUuYm1k3fpIZF6XaXygsHKwfQ%HVelQF#2qU#*V&s!C{oOEIOOMTx-erLBG7(NH9
z(OW+}5C2?v9jpeAeX`~w<)N8%$%-=k#ABh|06ydvnkWyCu*_UFg||sXY?g&t-??uk
z<zriuWsxY%#O3&cl#k+lSNTQYH}!wclk#z3QRdS@*m~v1I4K`1&PmJj!4K1}KO*;|
z(G2T%E|@08_#i1COJW)IIN`i=BcJVI#rH#NTj25C4c0C&-<w{$&G4Sav)f5|8GA8r
z3q7%gNCqjdHa>rGmj)i%Qm9ADL(^ujL+fLBU%d5j!W-5$b&6euX%4YRlky^tO<iFg
zPP_E$kUz{mFP%FB4|FZw^?}WsCfC2gF&`?~N%`Z#)@$Df-wsi!B<XKRzuxv4<~YT6
zA(Z^SIo_`ge#Z1@<2`uA!|g~tyzikw%tKi8qS@0LSoKn`VmQ1WDt)R9exDorB?fMI
zx9{~k_`c^ZzbM$ldCednUU>GI;~6|MJy4emD{FUMe++-`jAT!Q*ZG2|6XAsd*MMiR
zFEc|PNq_pgwqO*j@Vel1D!jNw<k>^`R;<`u63ko6cshi{nfm=QVb@a=`GGLjb`(j6
z@7=C4@`g8w{i}Kfd!0^b@PyxTdEUr@ovCi$xCy5U?4&7xS$3Wux&d>rN9U36IS*bG
z4zhtc7X+2w!bd((FJFaq`!nW>;IDy0@t0xuAX)!%xJBv>i!to!TqIHon+8M_oQJEY
zPFIufOVb9J9XJQabeG-u2s>Ul(WDA9bF0ua!1XCivdVDg7MaV{FmHKXuo(QA_1#<(
zeB#EVm1A%UyI4F)FZ9+a@i5FV{7R%9#yp$N2jMpp2fwwz^?|#J_QHm~@i)G}#+`$F
zT=3{U_C1~OD*uP(ZE)K{Kpy!X_nAsxxh=55`ue3_7z@yjGQh5)HgiL8r!TKA9qep&
zLA@Uq&K!OI`#bWB*4zG3m}5DaZ4nl75(ycG*OdK=f5Q0!VO*1N=CH!S30O>rrePd5
zFWlEM2y=bCbZG|eP53JR4c0xWUP#gxls&uO4D0wjQJaV9nf3oRz>F1}f0Oil1`^31
zVb4z&ga5#)i&I-Zz=C$F!zBGr%3RY|aJ$ewmsR)|l|^ed+!{j3vkYIWR&q;$7k8g1
zpuqRhRkr;Zdk!z(dSkYZc-Y0B&{#ORcWRLu@srDe>(TIr+%H<>d+GxJG&KTXx>~v+
zI=GHv^{p?w*19OQ5&k$?M(+$e#_w(>-)C1oXX}0)-X#)wiypS2(%Nec3pW=qZH7Av
zmmXNcbEZd1nBn(R-C~#E>_%11?J&cPSE>;l&vHDKq~Fu7w4er039Cu&fK8+(%~jx#
z7vd3HVJFJGTygk6Z$(~CIIa0S_i>m(?QJVbf5u*-_6S@$Q*nhGb`Ja^ehAi&fAyZE
zUzSVo+W|MOy*#@g<|vh0+z#&?h)*ZqtM@mcIYk4TEkw!i!SS+5c~mgB9QDb)aL#kh
zw24u)_sq_8kaz>-#P)Icvf~c{9@zZUt1De_R8M31A=rmby`uyE%%oCH;-VJwwQpf@
z_Pqv&VV%_b62)-yNb)7JKRP_30tv9!{p+(NesiGdX&kJ*_-~2CGd*vF`@+{{KLj0t
zI|?>!xC396H+aAcA9K!Gw1Ri?vFsCojSnhYSi&41U-2D)ztD^uXu{rVMkORpDdAnG
z2HSbll#{sc@jazS;q<hWbAs@zp#lLR*v8fH0y$nmiu3!n!-;agCP@6k!O8F~Fyox(
z5;;Fdyf{4uN7PUFvHcC?C$=t_=!b7O-I6Bf*Yg3d|9d!}bFztS&xEmju>@Wn{@hOD
z7qZVzB*K*f(w1a<$5JN@;^Dvy|FV7Xa#4I*DD0FqtWC~u|8@!Xd+=l9qnYIRw=+*&
z@qkO%{bkAV(YN01aD&;`k4%vC)Pa{g9N}L9w{MHUoR8-wuEALj`wj}j868dG7VybB
zySL)-<gv>e%wdbX%~r=@x&^5hhVc7dy%ibQF|m&Q0<2ZNk}3u7`kqpH1}=(sYfy#5
zwwA=H!55r4+?3&*g=oc-@Voe5<rZ+hVl<@$+$rRH%^W`X%Pn09RywJz5(J+yebKoO
zZgc5g@P~I!hI;OVLlU>|h=QrE=v~|f-z|@=dI+BjlA~gRB@OC+JclEhmIrC!bTiec
z1lY8BDDdAf-bZg3^1pxsZb|=HgOfbFJ5u2OGT!(F*xY#3G8;B4@nD{Vm2J$oWWox*
zmT!K*YddUG^5ES~#rwzLXZ&N@ui$`PDGmLw#*6XcLbxh#QR*w4S9B%p4gAJ$aIhV|
zOlP|9J*;Odq}>X~pEmF)g6jfk<I7=bEls9!;x--TQrLD+En6|X@OwK|3cObLDw)L9
z%gk;(hZ6=$^vL#R7nqoRVAbu9#!KPwGlri3!PD0ilwZS(qvK`gVV+EvH{^KIIHJ$$
z!$|{{TgmzP@@w-$0l2|6{Z0(*_Pu~d7>?Q$%5)J94ga@Ie+cDCFW2q!aErZfssY?v
zwtrXwE*GKi+YYB6Y1Ah9At>DE+76g^#+i}izkgd<|Mm~!{cKpsgXCvpM$h|$aF4EP
z5GmhYd-J%wgzxlv>?Gw?@aFfUS#XrZTMt%PsXc=4F8tr|uZ$eTOoGwgu#)Eqdq$Xc
ze&vfE{BB0DkCfNN%7)ek@cfXiI0ZbX&|RPc%iCT`CC``ri6YACaNtBb#R9ClKRZ$i
z&Iw3x_zBa5Qt-;cwLXoU6R>9A+XhkiPeSoZ4?KBD_opPh_-!hUJdcA*m>wR5>C8s9
zx55t3P@=&OpLSO^!&H6@^@m}qv)hi<z#PHqhJtX*q|QJkoL)n*;Q%~tqjBavyf7sb
z&JXWA9=28j``nok-wT)I1=*7K8OnOT+I?{8+uhaV{U@I}WE&fNMQhjbG`P>?UCLIt
zb@=^*=Ww;)u6ZihC!}mW7LE^5x=RB~WIGy=_q+O`gqFntyx&>7)ROndi)z&-f8cg@
zF`i(!{Sar)7@Y7!K7!PT`QxPJCg8g~%u}B563zXPZrGZE^P&sP?3=plD=gUZr+~aq
zE4a>EH4ry49I$~8{-arLg5T_3^0t8MJkBV+huZ`hXN=(>X5-E>ICOJhoDqo|{<~cW
zTX4rSlKMg)GaXY2`MqJ%RZ_o@|EOY^4i|crc9Qyw)E)JSO!#D{k}s)0n@#)(OM)3z
z%;sg`;`*_@sc^!7GYQf#bFgns94wN^#3~BchIr~Hz|A@d?~lUj&pFnkVd0ylM-IUj
zRg9srB(AI1!v}L7OBIcPX<crr?uBDrA5})eiN0*Vcf<ZN0=D<yf+P{k?Xbgh_SH~W
zZJ=YzRye#gJJBDOU0=Mz2oIiqcr*yEv5FIBfEA1RzIek4er55L@Ly9ptGn<HE;~&M
z_}LMxQv)v^`V{*E_2IiBJf(MFDXst&(jJ(~mv`kBOv#W|NZJd(-SJtt4GSK=V$lby
ze`0>(4FBHd*FoANXVtq8xx%y-%6Hn~-03T=_Hd_`^=t!Nd;gH>b-21gIKB?<4a}#t
zh7<C2m`VGpmCDU%TiEXM-gjkiOYC1+b68(l@i1w>?er*avVi}vO!&WsH_BG;)P?Pt
z*p^89@6m&|GxXt0Ce_+$u&cB0Zzb5=X|6mT{%k86pbGyRd|V#`dz~%5B@EMYH%XHA
z=vo;whGTF+!ShG=;3`)W{e7_Rrk;&{u(ku$*nU`>F4@K%=6dMBxB3m^o!*RhUx!6>
z=nMbCrB?r@%;ArmU*a0z-N#@2XA5%-DKgi=iW0AmSi?b;Z}ZDxp)Q^Gj_`69FK;Ql
zx7X0t9zG`**YE~@rm?(A+S3Q(H_E(*&9(ofJHb4`w}&#|YZXEbcVH9llOI#y54lI(
zz2Ul)x7Km+`P`56fv{Kaj-FUJD6z7T98dG`L+=Q<%t>42KAd%RdgcMla!n_hq_3MA
zmi2;*R=Y&QVCGKQoZBSM`!y^CR*@H3wS}b}FK|DE7eaz<t>H-yi^JsnE${nt=`0+`
z(D|0cPfeWpqzSWE46#3esTNOi%EDJ1)n7!xC3_#=lY*D@4L3%>fz0>155iO*OCle`
zFP;sk^1-U7Do#eja%T-^xL^sN-R-2mAXYHTgcGigJt7nf@25@3-UL5*<W-gk&#BJr
zriTT-h3$%iU8qNF{`8}LAgVVr87|2Z>0N}wSf^=8e}uUD0sc`~#qVeg$xkzSPBBAp
zx=sn*Be)^ySYtdqxM3*fDa`)ZPbLm#xwfoCwl98QZ733U{<W)%Y`@W3T_*x=?^8QQ
zwtsS2BEbhXQS{Wwg1vlNyl=zhdEpx};D3)*_?+QS*~#I#uy5^y=<BfZ?jre@aPt*9
zIcqp}vg%U-oHD49V+jji{NkAp7jLLOe+h2-JHYe~{@F-dWd!s5p|&Z6rS7b3R);n8
zX;w<%*<7hRD#VhC8_E4<Rg!X32)=MaGLqbnomWOjkHBfQmNTS(q@ko!gcGKpay23M
zBjZS91s5!`_WE58%vR~c!VGgCuRB7{pTe?aJS)7RVN1|+*xY>I&wqV*-?99|L5|nM
z(C*@2*jO{Rm7M?ouu6X~oao_bO8Rpyi1=A{!y{2kw&Z-e3H2G2!@<`+tdjWjQNH^3
zaNMpv7s&Mt`Mile8$RG@SWB)?cWPPcOL*|V2QK9L{G<`qOoNx0Y4k~cmN*b>mj#Di
zK1Ce_zpDAomJDk*|I)nydl-KEkO|wlh;JnKt3IEqRT9i)*nQprzI0;~JBgPY2vF(6
z**4eTKZl$1s&r1kBiESiGGLJ#Rw*apg2K$IJb1WtWbrU8_WPi730$q?txV?Ef0(Ij
zs(@u4Rq*YBrx=QU*1+=H4BffmBhL(!THs6T&Odg*QQI0nx53A}Hc4~BK1b|@$oX57
z=FTMR5$v7oEA4~h-WRNGhd<o&=J*be)_nd-3rGCa6Q6{=M6U`mz=L~N!{*^XK90{Q
z;Z1K%_b$QbrYUAN!fZ}7x7J~ER%(;K=r6Q3vZ3FA>+AMkWG<Oc%@NIFP7iZBJ>>oa
zKWTED+XRmfayzZS>-V;6Y=ujVw&;-c7_6E<+3bL|-^3-8`Q*NQu9e)dyHwa#GT+=r
z<de>Rl0I^W<v1+P;+jqJquCTqCz+2eY1Jr0@~eu<13uE9`L@<MN*uoC>>Aw*cRJMY
zO2PA=*2l^G_s!=Wy-vchMHRJVes+)x<1=NreEsxJGJoG~q2Tu!So$q@a2?#{KoM{b
zp4*VzOV+D!zn(c@2=|2FQYZbXgHm%2#_-<m)u+|4OnF?L1<V)p^fp-^Ly&LZxD7l}
zvZJ{eKCSdg!3o~jJ1m<A*9<eZ-h`EzOdgQ+1Ec&)4*f^sQ#_@iu-4hPOTn<x!9u%x
z@KbrZxI3_)qTUlr*mz5d)dP4F&8q4ZIFIrta{yd?gnL{Jwi?@S9R)9qT1!g8k3B{z
zp1~Obtm#MLnwCNBM0ktBg%vV?J9j)WGacqAShhX_=Y>3#%7WPsbQqI3!;7!VRdB0<
zP19lcRb^*q4eY>6;V2Ay@#_VDfj6(;|3=nN>3gBIqZjUFK5$0>uAgpdoP>3gGiS+q
zbp!2{M!(?oeNm%id*y|c*0d<EyDzcolDO-(<=>?IURrwf`ygz#?vl9^{%?BU)qQY7
znXS}rSW<GQ5s80@N>dht$Gg1ix#8N@C!G?o)9-`V4#4dfIf7N;)N_GfNq_$RRfZiJ
zaM{#X0g}GPqwdCe_|CEWjBK#yy_7Hmcu!HE@mBa|s>OsU9BykCOy;MLFn!9mhsPeJ
z^v=K+s3MtNVZEmrF>SDEW3Q?Y{QA!Dj}F)<AUP=rF1|dujjVT5^2q*L6ukRhtWyTu
zn%7$F2hT}=8hQ@X9rafUggy65YDUAqAJ_+6f_11C`^bEB2CuR|MsOm3)Z<66hl^7<
zd7i2#f2Sks?XU`S?Iq9Kpq$ce0kF)(6Sn<uq5gJ1FL+n1eBuFkS%p=Utgri3<*G7y
zzPim>C6V=fQg+gG?uC~Wtv8VQ=(<tb`&eO1>S{-8Sk-yr6&oC7*|>+yM?bE>tj_@d
zZS`B%hwI%$oLS&#m&j~gct@blPI7&txMw-F;Nrpl7v%b`%x!E`hb2_kwKl-k&&;IB
zdPHrNzI{~ih2GaHvhZuoub(E6UmWr|ipYHQmNKJDQ?SaKUzH&IZzSVv2TV;hC&~wB
zYVv&RgoWMJACmRuu5Z#gTn$r1zopy-J9t+W*TSVizjDcXOCk2Xm&@U;FD`R$h96U_
z{;Ggm)>^$7VNHtbQhBhVi1IX9&*^>Am)d+-EYklOC4BMKggv=mWa`(LRxw`Z+fB{C
zIq>@n3h)2GAA5|GQemS9MMuc|c9V*?N6GzWsYdzr7aZ+X-<1Hz``l6=gVlq0ER$d%
z>$;T@xc!+h;}dwLqPY7rd`$2&KS`f3#TrD`<FfJp)*KCA*edvl%r74(Psk(xuc!WD
zl&t?uNAZl2?7zUSdzImE@~w6LLO4Te*ETX9i$>?~oie!8uWO#Hr<UAxHog*0zi*}(
z0L!atFE_%)9wo2IeDrK*mw-?3hdYWJ@4%DRu7h2$tYWkiS<mg+&|`-lm^Vhk!Ur~v
ze(E_7yZ!U(aEJW@OE)dS4ef`jy<xYDWjjcI`8;5GoW!?O52S5|ceTHACI8<n-Oq9i
z?ziv%PX6EP7{#;Wu+0_OgJge02mVm&!x^C$V{XHSmb)U!{d@Luge2L%*X`{pHt>hj
z=`YCt@3j!`w1e3t6qm{Pwdq60g>S+Fk1V>#{P}&&*EDXy!47MD4zQxYwbVN>|96_`
zt8nv}uPC`+z001Ck@fe|>wQD-!w2Y}>yh>HjN2Y_hQT)m#nP_86B4m5G4SqnvF&8N
zy^8x;8=t@zKG$1bhH2fhFD1bns;WMd`S>(D-~S}<_nHAyE@V6&+m*6}0=QRXVDvoP
zX4NEE4FBR{2rz)XqdpDQ!RP!J7PaBOe|sGp;loe&M(e?PEdBfYNW6@a<_sL(J)ZXs
z=IV&iBk5^(PcV+d+|CD+q~P=PzYC_}8wN%5GH}!C3hN(um#1;70Q|9g?#N%5Ms1v%
z%<qq}_~TEF`qICx%Jw_pzijQoOt5fXed#W^MYA_}8_XT2^^_4lm6e;i6aL8E{F51W
z@P13d11tHTsweaHpN{!*@)OUM?xaMVS2xUs)Zb$Cd_R-<_`GZ@*;25O$0F}{SVEDW
z?i9@8|17c}zM|9n=rk;r&OAB*AE%$3)`UO!=jn9AXDmuQ&%zu75et2Aic-%}Q+U`-
z(7Y3tpng$C>Z8J|tQ&h__xc(qQvc;UlYFBc_MLpVfz*GkR|2<ufnP<weiHzD&~Lrd
z0w3l0?^H1SvTtP{Ss&nRO5AVK9#Eg=8Quh+3bFJf?FqBVmLhHN#Wg?49C+iQ!GwCa
zLQ%8k70i;SJKG40NEmY$!!h&?m#g6GP24Zv!rQ{+Ue&;_6h-JOVX9`%`(!*R!->58
zb+D22y*@JD^wrtQ|5{<6ta5%be$|hEl8>~<toa#!A>&tfc71MYfoV^cE5*WsO}<9$
zFo){pC9*z%RmZgrq<tnP=TLhfyed`7Nz#8^X}#kQ>-i;D)W9?1PcFN{{&B;7jj&an
z8p}<1!{M5{WdDr1kBF1;&x#6h%4C0-e@}fU<FhZe-kPd~Hw&)c-UIWNT$1|&Q`|Y!
z#0@iM2E+`&wgn&4$$0jqqh_y1;i#F(WisA<&%1j}zhL!eE}djN{8cqW{&_g5H1+@;
z+;PqS&MN%xYj-3C%oaD!vQE;ku8olK_R5OeY)E?-{ZBESRgA~qT<-jv4n9d|kVMAo
zZ=Oul-VEotm3xu-Wp#P_cH7~(Tm7HN`2S6={?%OY)0ItfWd6Z?#aA6}xO9a-bP`@?
zV9YrPPX)T#e1*GiysRbdd+YXLC1n1?f%60V#9=9ymMAiRkK&_?tPIS1a`Zcyul7JT
zJz5bqtJwaL%m=*iS|m>u=5*%ULgt4Ysj*}{2d`ZA+!h8K%6=I)hrRXgRFV0aUJsv!
z8o?E3LKDe+qYvK)Uzosq?>*7J4gcqzq;&z-@lGsrhPkhn^%}xLHnn@me5jQYIX*S`
zhg;iyGGD48`+U9zETYiEOy+O#MBwvBFxQR31Tue1QH@uZ7JmCMZ1Xv|c&sA459eE4
z{9=*;d|#n(V=o-G8c|8+3*Rl?F!lnbT~XE3fzQ_eF(B=48Z-9-<zVw}bpazdpmugi
z44$P^FENJue;V}cfj#$ZKE?n?#r3Liz{$BA${FEN$@KIsu!x_|rZtpTeH(>17~xI(
z<zm+1aE7O~^sp$`sO%EF?aMxKN_e%uzMhnKxeSlS{^9#C=S3VHXW;4{PQ5=c%Qo%5
zbFivZB+U~1<io=A3D~thY4|(LL7D!Jl%GR<DT+hz8|?{NQr_156MEePtH-{J9E3k?
zzi_h^?%ynWn6wWqd@HBvh9`DgK6?*mQEC=;!W&bl6iNFKSNtoLe%SP{NMRnVzfhY_
z((m%Ir+f~ZYV4ODgcqfr-i(KT{P${-q>mJr+7%6-$e{5g`&T1t5gG{}aL)<-1_#p1
zdwIZ*RF?OQ!KVJ!b8hhP{fwgnFu#++@MSn;!$bv%r&`+T8N*ArWc<kg+f(%Yl!kpQ
z=oiTTIuzx&%fanuQj<I2@;H?}<o%p)+lf0>ux3!d1WE6CYE<MS+?aQ>Uj)|X%1b2Q
z^U?n<X-l5(yJY40$oGHFvUWz#;eCNW)u8AVY~i<a(+td$6i`p%EOX7P<b97KH_9j%
zj_YG{An$`OI?sJdfnO<&WMshOvO03l;GeUx;@R+jPT%7n!`qGD+<6K&E=({-z%kn_
zSx9?NVX6st2&{jMhQc3K`gSgl#D|M7INgP(hF7+P!aHtWE4=};caJ2K?;UM0E<Nf9
z?-(x9eF#e|s&rk2PiDn^kA-~?Myrwf;?viT(J}De)B9#F!u4m*@+ZJ8RoBc(ebZNW
zUpM()Qu~!<x^wXR>NRU}JYz>s-X`_c?%JlEN$}b8&D^9uTPo)wlLzOQ>d}$<?gqY7
zQ!imZ_mON#nB{kBd^OziJDOGm*3Yp!TM09p@Mj-{>x_>MHo%2N#(Vi-z7oHA63?k-
z-b~teELr4z8{z&(r+i8Mo?(*aIQiaE%wYRLD%fM|+bWWu75-AkQNXEFJ}#eN!^WtS
zf6#uQF)2*j1qX;$zgdJgR4f&e{PE9U-)IWnt*z2M4EOM5D~!XM%nZRKKj*WZ82bj-
z#AogN0o$ot8j|*naKmd2BtIt?FaPU+Z8oR=B;RX#wJP)d6I`2T7DvA4q(a#iLfTUV
zzWfnbg;O?7uUEn%uK(lczT>(2{y2aq*;^^Q6qSsuh{_D5l1)Nck*|yh*(E6}Q6gn;
zLPptAGAku3J3>SVrBJ`u`ThBPywAO#JI+1#ea^k-b4!QF^&EHqMtU{;!?5!o4X*!9
zSIa`5!&&`dMO5(Fgp(3vJc<53hYAzye&u``89#F8e6v6g@8VfGM#hhx1nH*<z!b7O
zQXj!f-5U)^`^0~{Qu7`xujWKW+ONQ#SIOaUz=f^Pq+#~n^BOncw;yfov|tI-6G^@>
z-*V&s|KG!bJMTA%pFfk@L*~PV6o(84ka!Kl9t(K**%$d+@Q({upWDJGRo>(W!^eM4
zQj_-jL*gEqNLVb@=z%lbdV=0N4BlbhI^ha?ZM5l(fteT-Jg>s5A5=8&!s!dejbuLS
zyU+0{@o;p?E@Lv^^wY=7TOPpgOH%$nU-j+b7N;bbA#C3G5#nwF3QZ&)^Ydy}BCK2y
zE|3iWT{dVY^DXm_aMC2e8`CGY6~Xpg_LgLPZ6A+8HknVk%(bVJlpkK2{zc|nzR<oR
zo&!%_I&+K6pMU4NKP3}3a9i$q1!w;ASuKF2zT4Qh!BXmyPUQStwauY<4@+EY+)2g@
zmsfb>dSL3#EBDFxTg8I29JwF+CQ@s)!S5bVHjTme{}xs^!vQ)EwvqXUvu;1Pet^yX
zvSiP~UOyk+eg}V+F*hOicjH*Y{f+SQF4e1KK3~7%{VnzIib|O93Vb$0x3V10Y2N?e
zR^%JrYS}l)_CBCmtmK55o=pxtgG+~x@R9juOSuaXWW2J7+y1Q@Jo&s_njGKo(JkM}
z{IH3IB+iHMd8$K+Wd7H!2lln(d<CBPR7?IZiM?Mnjnpq?qg5w!*nx}bIH^B0YDfRs
zz}wTWR9%A&PTCe)!Na!7mRI2mOgTypaPpDNj~=k9)VCyCc#G`e?HAzfPj^d@`CH;H
z$#<>c^Xm>#WWHCy3E4qCc$-4v4l-X$_-ov09r(qQFM(u!S7D}jf)Z?%&B8|JciqUi
z!*m2b_f4vvl$WnFEs=rUDou2~U~z^DAt{(`&6|SE@6yP=(IyOE$m)I?4%6|3@7xJ*
z&Z(gw^R@UCYkc>?BU|>UK7n5=jH&N{6Dy>D<icZ)&%SMgjat;N7sHGZzsxz{K}TJw
zA~;;Njgkpw?{gh(gsr4}OsU|=tIks7|GO3rr<am=KwqF9$@l+r-xN;^zpJ{L+6P;{
z+_%UIw^-eg8iliY4Q!d=MCXUszrY5syy~{Xw{!DS7vbflnlv_8>UZsrWq569c%2L0
z8qsupos@sJ>P)ux6wOEn=?_u;=4ssyAGrDR`d0LZA|nlVaKhmx+#fk%!GEsaWPe8!
zgwhn@Q!|03n_&afA9|$!Ry=XhlmTuy`fXGVKA3FvhHU?tjnAW1U>g3Dmp8yi>T`D<
zhZh7@zpM`+pY*%Zp#h8R77bm7&!5=EZVNj$jp}}b`y0mUNq<)-{Qa*{So)db-CMAi
zn2=;Q9Mip^d=n08+t%|I?qyCmPyX-D`bTADGaSOH#To-^2^XG!0c+3~*5#1po9UmG
z!}^m(&RKBD6AH5;_;hy?e=W><Q}JmwJa7}I08ZgLXq*hYeJPu5g^N`)6cXSlf4#@e
z@E+&nk!bjqX+?DpoS(L#Ap%w((sd-`DSz$PF9ySsTmP*Nz{@k){nugt_}IKYxZptM
zHE)<RQ}NI!e4OU=q9^=&Z`brNZ2R$Kyfdsp@8wO#Z_<AJpuYs?31)mE<!}D`Ze#`z
zHz-}4hG(wDG@pTe(lYmah7CAxpFaq1?U8!^74F_E-f;k4C@r``)^EDV@2~|n?-idQ
z+y5v0%F0#}zZ{@W#(y$Q?T=E!e)*Ko+TbLLiVj-%+WunO7P!Z=$ZG@aeNnEv9!^kM
zqo#yM`jQXSz+X;I>iy_PzGwS%EBSx=i_*@{zu=QW`#s3{NKMwSnt-i3D<@K5mzq1r
zr{F@)z}O`CI%VM82%MK0>lp=8R82FG^4TIbdm`ZjM|+<R!jq~0ygXsb8WXc|*u=kg
z?-iKJU3DXgN8Fj9y8tWF2Jw%=g?UXC*0AqJhlWqEd9L<8GdMCVNN)hPUy$h|;~%y|
z_A4LZ4gIQBTBN*F<Q7uC+)DDlV{qIi*UI<slT+pW%5XA+-!W2NV?%xzxn3;)n164D
zm%d4_k@=9v1#Nxb!WUaa^JU<?|Bmi_4fmFn@sjZmpK^_&CRnhx<jp=f#6-}j4h{`^
z{e+Bn2)OWEZh$@Cw3(CfkVyTX+p6KX;?eD^xSnU*i%&PgU3S0PSKz~MZY|fqZ#McU
zFTg=omx5lvEj>laGw>sCj`l)0==MRjaX5;9$*dUuDBtE@1^c|WqT+=gS=<^Y^G$z?
z?~CDw`zcuMN&mj+gid{bAFijmvEF!COP=BM5WGLCO)C=4<7^8ng(Wibt4M#Iy33dA
zIqX|t<45MxX6$q-x(^#s>3k>s`JXShDaOHSMT)0g;rx%Gw?p72KJgb9VX^Dt+d|<M
zbrAt_|7hRw*y<|0*1{i6?nk!<73O_l#ppEEvvBv}`TK5g^tQMXeYl7B_AU>&i*Bcl
zF3i_;xaAV8Hq;wO=A(b-Tn+bzCv@D83&Z@~*;1Eb?Pmuck@11ov3&jH_ayv>PqM-r
zgPH<e;pOnw8ZsWx!+(g`9e(5Q;Y1A!+KiR_2aiWu4gbac`ou0h6({&<?&hd9_-Xyh
zge@#oy@7(v=NC=4a<_*EDV{$i{|AtlK*N0=R@r<vhU5?ThTqDN^5Jo(kA8-a@VNAu
z!5TOA>?Z%WaA~X1vL!5V{ChX)?;nkAcz6ajl<m`OhRyUj_mc9Pg)&!2|K39M*;{?M
zesj#lTKEGa)mbC>tf&olHT+L8WrH?+i&rm<{C~xJ)o&3x@S4Tm!^N=JyI|>KaG}n&
zC%LfMa_b8%c%}M>c{cp*ll28vSf*(7T{7$|n7()vuD3H)yAL~MM(^i=WogfLko@js
zgK;V+yn9wP=ppQLWLA?Ep0rkEPlZFW3oDu6lbS-WlHkI0_48D)#XTOqEO^F@>f=UO
z#Br*Glt0!Y$^YXM#%HefsFLkV7@LclgD3I5nGAS~6z{+g9HAZ|P4Y*df?n+b_^#c#
z`(*p+hBrNIgZX|P79{y(R81XY3w&6S?PeY<{{EYBIb0Vxv84ol%bL+z2Cx08_9%co
zs6KFHz#)vGRL@}P>|3`|;pk0zoQ1IQo#R(;!%g*@vq+pVXT!`*SSk4jEjhjeM?~a2
z;4J?92P9uDsTj#|gBR-qb4h$5D(RsqtTH1mUkNt^88Df^U5B?Ol)-W3ekPjmwY}BC
zHSirK$+n}gSYie~%uCuM)2%YF#tAj<7x0CChTD=b<Ak_x6-?17)42mqGiabE`LNdP
z7Y%;+6nj1&sULKvDRNY>oS1AriEB^m<Zgtw3K~nrz*oNgRn+gr_5GSDJq#YmJov^C
z?qCmlegmGMep7uIju}2C><2eg|2?h*e^|;7^MaMqsqc%!jJ;0lWW31WqV!Hlc%_Ap
z%>nMId(O@YKkJ>iZUy@V3?^~Iy;P3lWW1>IeE&2ZyiG*j*a*(uzv{^d|6aUCYXFx@
zc=2t5%ei&DPr@m?Vsi0KBxPE*?*p3fU5(qz%RM;%UQsU&!mok~SythY%CD}Zzr}cW
zPuUN6V!UEZ9A2H1Rwd<Ibhh0Wg^P`HCud-_2Nhm?u-g4H3Q|5pY5P7N_=B==))YKx
z6dte%&cDsAy#RmIU6&x^MZUJ7i(lbu7T+%ppg$S%Wk)GlzjU_?4;k;d)f9SW7LH7)
zbs^&&AI7*hka)lssX8(q5};UWx(>Icjh(y=+aH;E!G`?{F;Yn&;}2oE5j^C0olS`L
z_k};xuE=bMdt_(c_`~u{33v9uLRpcDo^VOV3Eq8htny^|Rk%iU&O-|RUcKGL0alaH
zjFN+?l-z3_;Q;NKX>va4PS8u(!l4y0o~kfSo4LOo>}4w7p#}RDe4jf92eJ=YoPy7b
zswi5)J7sTFkoxj9(nvrbPW5W&Foma_mTQdR8)lnt{Rc<)di?+U(w?h@Tby7Tokl-B
z#1CZ|JA1$upJX}?!RlMMIs9Sq)bBy^FqMdN<rR3T)^1r6ev!AP;RVx|O`3?o%YRbu
z+Q9)+HmySN?y!CQ4)9LnMKJ+b$Kj3r8Te$HdlDB+MX$Yl7LF6Xbmlj{pM6is@!tfF
z|478PwgtHHcV8Ge-^?XT;<IqF_J!_VcwIa#c^nSsY`5x%4Hh5hjluID*=aw*DXy9g
z<a^!g^&a=SU^xpF5Ar>4<(_i+w{ZT+<TI@>pNyMc2fTlv?qe++b1XMJ8=j=xXw?X(
zS{rQ0gk{#ZHrB)Gf8S}{hr=dy49NGwr@TFDqv0|N`|<|(?ym*f>u^;;yaxHcI73&Q
zZvgyysyMd^)|1}c<V2P~GjOmSroCLQ;0Sw_{dz>UXX>d`@L8DkE2l^Y+^gHYVgd)+
zrqjKIf3|!2@x#N7aXyuBf65y=0r>2ea<Ou_ae7lBC(Q5lB&i7gJ7RE%2mWvNgKhyl
z7!)?b4nNRuew7J3Bz8M;z@_sGSJGkC1O|2{`1F~n$w%<sKHWqXSel>n;X`;uB3O+E
zR=Lf}7z4}SYiy^3zh608OTOn$p}yiy0h=fuNWBL4hhK`of6^(B+qoJ9zz#u=r2cl}
z`~}KJlJD6&NO;fDBR;nKhO#ltCy{n<BP=JO8><ZeO!#$>#O3$q9#e#M-trES^?UHd
zRm#E&+7b?%;QfbwI?BLLKk2iqVg0<4<3pnGKYyzP@_Qj($L{WfV{C3H|AdW=cVFRw
z!zAvRtiu0Y{`YAs{A2k;>NFhgvT%Y0_M+_&pM`&l+x%sOeb>H!`~nZ}H+G?d9i^ww
zO~Mw;$GbMbyox(=yWwMdlr?|<!u>s%L-rF~cU3um38oj&3~YuAau4y(!jHUU8Qb8T
zO)uY1!|#nxJ$(r~9jsLygZn?q9eEA6pX$jPf@#VuLrUTF_#Unv*i}Vi^K<yklK7Xm
zu+4B})_s^INZzOsW;XawIu51?@t}MH?>V@lbr^Q}mV6}x{!070TM@RRZjVTWGc*QX
z3&GzWY}oJs-nb=IcQ1THJlHlGmWa+z*aq|TR`!I#vM!E$xM9xEr;gl&n*%Pp(!sT<
zA%*^MfRpGt0~|hcW5fk6_uJS1sSEE1bGPeVg!RPwE)2jl3zz@1f<I}!GkgXAIMFa@
z3hVyz`1~3^`zAli1fFYgxmg3ddz`*<9Old@ef$z`l2YEQ2`kp-saC?Kbt8-iVIzZ~
zGj;I&=b!2hz_g_uf1kk(yS>tP!;Dl*9M$lI=~ZJv*f?*zvIOqT=Qzv(Ydv57P!13A
zZl7a^Wz)ZS6v4vEmn<1z-EX!VN%>t0N#2{_K1R`nc(^TeX=d#w#=~_peILOr-sdY8
z;fJFqS$*KmOfN)cU?JAJ1V30(Yiwu=E|JMpz5)l2sOgTvJRzIkc)}(}9XE}@%GAGI
zoMFnLw;sK4h@a(}D}3F4Rk$10Fjh~w2+u^-GB?4enrX|OU>@V8`UZI5>y+6AIQ1Pn
zR{_i)IQRDw96GN5CJ%1>_$JL3rY>fF`UrLvy-?`@Cv7sZc?kb$R6b_~ua>eN4})9!
zny=Ww>S|VNx8M`i$=v5)x!78#Yp^rTP=+PUeS%|W0Gz5;s&xiVNV$B^6D}#4={gH@
z_`TD-0w-zJd+WoZJ))JD;FRGdDkHdhW`4&-*iQ1{X?6JeIsF(*IHRYjPZN%auhKXN
z2SvvPD8WlC+bfLWr{?was_?bZ)$RJQ+b;_PNjTZnI{F0s_2ac+X?VFr`?m%xvVli<
z7yRLD<$p@>!mM1W5ZugE+Mxi~=D%6r0^7dZr7jH*<&E9i27jIt$rp!@uDf+m!)h%_
z{CnU!reJeAn9uZC@J_gCfi-KT6XU@r#aFoDoXxyatFY}!{c~I4^Py=z)3Akc`v+#Y
zs3x0w7S3=Q)~AG5*c=sK!M-2t8&{XHeLVIpui-QLmY<j4E6mBy^WhC&7W8M~^IPw$
z7Q&A;QfR)xNfJ7fnJ`bkl=m2%Z?1ef2QFKG{CNnDdRAN&2Q%kM8}z^jmLF*(z$}NK
zRCU0VpXsAQVfBrg;%%_H<Q#Vd+{_(&ya5)y&q(JEcQeaXSHsa`Q!ySen>M9OC0x4e
z(LpDeStDb#7}j~<{>lYb%kzjWf?cJA?CoLMEH1hnSiNoKhXWk>uGu9W=Gkp@*c5gd
za~^vHXT9ImWCq{&5<3wG$JhF@o`nC)?5&A{zj+@`(1vwIFQ^2=h2Ak8g7CMe{H1>I
zf6RL3d*IaMr670s(e|l1DtP0?=RX}`gTy3nT6q6lsf9g!{K5FEUmr1k_}=HkdHCC&
zSnWS>(W?-7Ggzjy=fM<AU8|RG0Jj-k-#G(Q@n71a1G{_F{nrnhNgfV422+XH{2YW$
z@0>oQ0c*V7kkAEpWo|D}gcY-rg?izNTD`3ba29K~QxmK-xBIpfoU!Koy9G{nvtJN{
zLw_f$R=^51$~L><2ft+AR>4|N>^KGCo449rOJI&w<uG2DGT(Hq49;S`q{I#Hi<?V+
z0vl1Ai#ILdc+IfhBkNCOe=^ztFI|p5SP#2dA8amzGkzJIYJ{b8qkK!?)z^IsHE^%C
z(Oe!Z)GF!w0^U+pl9mH^Etc&lho{#RZ$E_F1B?!k@(<I}kHo>r3q7Ao;T~m&qA1wu
zs({UN_zz>3O(dMEkwRMtHx?xH+=OQr$D^OZ#>oufH{eiS8@U{~Vj#}-3f%r@_(TEx
zoR)338~o_Mv-2771F=U8Hn0|T<EA`#J%;y%C2Uxyn3D=m?HrXdg>PwJk|yO#3+yJ1
zVQT9yJ&#~rRdG`txMmx(RTAvESk9~sKMM(>egL<I1zyvDzguQU#ly#~SY?mGwqm>o
z?!qSjdb1D1LSl#OVqme=OXdnNk3oTT7~E0VP__$ZbXuYyah6pZ2LV{2)haU-eqvVq
zk{+JP4muhQoBcBPq=l^&zJI+9pHe=jI=zVYp>Krs9(-4c>(?Zl5~)!})=wX%Dl7tv
zY55Dc!Cp^J4DE&QM>W5F2{SZ(Kfn$Lue&?6!r}6i-&o+@t5wV-F6p!N{RY^bu|a^;
zN9(=P!GC|?`T7T%##-3K@TkKa?7HJ$?<@Gwk&D}B;X-j`KT;pl4ZSuE!4dMiqe%Ub
z^~$K|ha018WJvws+bAa53Dfnyuc?H;9Y6Q^1AH)y$*LGWc*d#mC2ae+*PYalr~TPJ
zFW}^Ob}mvsCZa3VQ(<{dPepP){PCt-O@iOb<&PG@yLM5JM8Q(&>dU15PpBK;kA%N7
zdc~9aKgHNJ;|X6(R6Ic90|An$SK#YME`7>}J^p0;wtz#TnXi!gnp(qDXa+Ob%X5*q
zR?YcuvT%vvawFNFq18{xGVqSW-2ai^e>{3>vlv<4UV4e_kFmy^=6x_vo>5#byj@!5
z&@OoQx`P1Oo|USG`5o|hLip=+xV=EZnhTEE{75?sZZLbrxeX3ruKtk-=Nl@7vA~^q
zjXo)G)!t@hCU|M%_;yksPyZ5*`?-MpetEhw8BXVZb!rJ-yH0g34*s;^AfC<R{0{t`
zd<c&>CD6~ork3MsX>ggs)wyAKe)OGTHvE0OSAG;$U3>PF?B9*cD*1h|kzkerX>V5A
zHmH#DmMxw?NPVd1vn=U>wNGF0A?-)z?VZO4;My)(=^i*L*}Jk6_Nv%b{R#eO+`oyG
zpFF_GISM~NF7DY5KehRp`~|*QHOD~8)4XpoS%y_FEBL>G<IIXa|AHTjCN#f;eNV(6
z*?{(ZTkVKK6U?_Opm8I-=dyBe3tS&#zmoxGJydtG61HFykzs|`JGe`$VXv)Qqc~wB
zsj#>waN)zY6h2bEV05$)J}OhbE(H6AT$YcAUzqHV6N8yQybMZ!{p0zU4!{MM&Ybjv
zU;4>yQ-&#>lVSs4bFY1F$KVe#z1}YH5zEvYr{Fv;?$?*$<MXj2hH(3pqdC^3{4m82
zazErzyuN4)_iS7_Weq>iE*DdVcSdOZc7~(1L&uJg<rz;rwj<_@Hk5_`%ufoD`)l8r
zJ%bD!^Jcom624RF>L&^}cVE}DffX}ON$-O@m~Z?%3+MY9XY7P;D{c$0fa{_Up4|a6
zeB8Rr2%dIPd&>!H?ajzDfz9)UgSNuzTxq9u;DrlHb~NysM)7&FKOY9g_^9CCYfm<j
z{k^Du%<cO;+S3xjL<3kYT&HFp&MCqu5iDJxoAMcMV%f@I1q-p69hiVGr|f-o8UAIV
zpEU$qw#J{h0`I<SvM>S%oJ`B|gCi@ntUtlLFW4jk;WOI}e+|NaWQD#)!F-HL7rWsR
znrN38xJ2n_NiUqZmhgt;L+jMSLLXoWPHMwMI8j>6`6K)!lJzOcuk5=RKexeCOP=y1
zzhYTs5qSsin!SGiDQxID{iqS9N}S{?g(+fZCYs@moQqeh;mVnMlX^IKv*E@%QeLES
z<~1zl?O53kOK8Mc)WTmo-l%rKych0gzku)8^(OYg7H7@5E8saR**$}>lDmaX6>RZA
zHE0|jRTJngf%WPhGkk?h3<Y*PgM$lm?dD<IhYu;U-~<z6uVuI)GWJvsEH-G{xemXj
zJXMzhACG%(wgLGq^MWQ_I-Hc)SWXMu;U66yk$5_X3IiOnd$A!Awigw8ycxdfa6J1C
z+`6gq2`9`Vt@PtADKF4QCjbXnTJLj&nVmM4h{40nC)}Oj1S3usS@^yVV~a7oxRjlB
z1bz@S%Weu^yirf70lTx%{?vkR?PJ?=0*(+IS2_is))sLg{R>BB_j|IiXzFcR(*O9r
zLu=?D+~t^QV+|juRI3+;>%%(T?co$(4hB*9`Sg$XE^u4khVQ&E9rKpYq`$UR=bhYk
z*qB1*h(9b|c_e2Wto&Q)bs+r5h<=d^HgP&HaGS*64|LJPDf^ryBjIZ8jO|P?v&`Ly
zSopm;?OiJP;z|q$=}*4zZ11CilY*YProf9eVkbAi$D*J8PJ^w)mhNwaPbYmc%!ecA
zPtvT;;rCa%2Mgc}ChWTFFh|HA`RDMxpy$%x;p0>@$4UQp!&@)EdDvwyTV?~iF7x{P
zS2*Vsm3R~U+9UYjH#qIbzR-4<oy9P`6PEkBD9{6Y@-TOI!<%Gy{fFU!wtL@G;M?Q;
z2NvM5a|`K7uqEeQ?^jrhudnYa?5qDOU>VkwK6cj=z7ij?YZf+Oee7lre_;D9^#eX<
zy?NgSSU2@W_Y|xnb%D_scI@Py_znkJ+FsRzzyD4X8-fEy?oMmLX)4FdM&R75NyZxR
z^uM=jWcy3Ey>C{8157X7=zt$d`OV0|M>aiiu7Jy_%giNU<8$i2s$gwn?t^<^&&q>0
zAHr^4W;xs8cFGo}$FN57Z05i37!QtZq}U5PD+V5*L45I)x;N=RZjv)g?La)js7Kru
z*AHzv>y|cnZB^+RX^#&lwq(}97ZR_0JpylgL3N-B9?@sFJOocZ7-y}8y<R+?<ASMm
zHz&P@eSa$0Z-WhP(ln4b>-!!0e{sKapB2_?ggxAA+E(F^w0+_=@QD-^(?0lAs$z8m
zEY~>HLGHKI^r7y>uzO7B9LX0qY6fkrgpICw*pvK{DO|oP3+{Zb6MP!}MR7(f85Wh#
zWYmLAIu__2z|wvc2@>%67#`m{u<m#5ozgHbg_d*#T%k7hdLL}i>Yfn{f9w-EB?fz&
zWt#=TcOz=&1>tG2&UZd=f!0Q^J+Rvs#+z5+7SkA>?J$3>{E90)aik+v0H%)jEOdq~
z@+>vD;6?8Y0ejfLG~q1|e9-%AuPtm6Andvsu3>iGe;QsXt)V7yzc)L*bYY<#($>3R
zi{)`aL3nm}H9`vhsBrtzZrE?P=d=R6@TKbjE$o<9My(FV4LSMK!zWT?tWUv)w{CYX
z&SE~`2Bj4P`07a>zMpV$+6x17SpNXG+b}FEkw0Yvx4%lS`V5zPNoZVx86LzWb-;aW
z>;{+N)70EwJK>7i2SwiSOZPu*ui-PHj<o@BeS`0oW;p8iBKIx$e65VbQ`n&<zVHrg
z-CI~(0)P3ii;?7ac9zbu>G1NGZm!4hpR*G~nQ%+El?UnXtS{B+B*7HEa_c0&d^vF-
zJ_SCS@#+l8?;7d{e4}CN(>8V_KVFZ~eti#4WBBok^yirAC$ocL|MK7uq`#0?ZLkmm
zJJWKAlm14-+o4V`Sf@PU(0jP_{4qWs_(6hbTrXU3gyxPL%y;G+e?MH<<lJ)w?y2$h
z8H3&SeXhI!uTd`C`U*d}r%rhhW>^avpNCz!SKKY(>>Kiqi*S+8*&1tj-`_XQ<a$`z
zUz%(H+x3ZelYCIeb@P-FtUUQjiVki`sxUnb4=A`)kbID@cUzh+EZjo1bqoA#(D<e*
ztbNFE7r7ppem;G76kaf!2@rtyyu~{_u!qkbYBJtnJCJ@$369|3V=W4cNWb|{0{(Be
zjf*6#zf+)83hp;se<KgCq!b8=z@i!t^bf<UAsd~<;LU#}ijKnd``L8);j0N}YmURQ
z%je^Fz|SXsa_PZEe53SSaQ(xOWRgFf?vv2xfv?!@S||C_t-<_;%`lbi)1Y(kT+|=N
zt*}hVsS(m1sW`j(Gs7x>dM}Xt(2=XQkrn>da^?T|)rXG#2kBrp)4#__epTV-6UYF^
z<t1d2{7RJe>jEX55G)`@@~ihrQVP`YA(Oh>x8M^j5A*)cAiwibWetNfALH+%5btUq
zaU}Vc&{uWa--y>8wp_dq@4poJWED1J-=IVCt=#Bu{7Z0ovtM^IY{e{X_Y>~f&L>Us
ztsdsE-tTbY_PB~XSpM3F9SiW06}hb>-%2(UjGls>REi!wgM$x0-AT$D+s+#{k$C@V
z%mmy*XE)FS?>MeH@D=7Xq>=xBzV#~P)Mt23)u*l#afLl^?~lQCEWErV-`e8KL^A;Y
z)QCtOhRu}X9*n>z_1n*q{HosgJ?$sBc3g4v2R!wRL$@E+5E@Zjg?V$2z5EDop*Z!L
z<Xeu`AN6|S;U9PWnQ=d1<No{VJv=JBx`_=w;I76<$_ouVvgCr}s4n`o!G2~`UwPop
z(nTgxzD@dgiYOdL#}?2G>$4Q?*$*dK7&W!R7BYG_<Y4MZr-QFxxiin`6<`kO-_1=h
z*VffnT5zclodRASc)=TMu5}8|y`p{nCA=iIA<Gb+Qa!U+2`l|NCuRZ{4vq!Y!Hw}5
z6C|IacbZsw4$Ib3UiuI2DHl0H%71CjY;l9@cL^61!|}2kbv$69(h@~dzN_{aT?ouJ
znq623XN9ERA^B9sp6|b&!m?BvGj~Z`V#q!h*4Xy=@;&%>nf>nqSUvcQNCvERO~)Y%
zzVt)BI17%ezh9gKkBts8lkt61JFi`-q<p-@{bHCpvHHJs*npvHfjnQ3;(s{s2%e%B
z@*>Y8q;BrKlmgFNI!V5R`C5Jr#>4T|)z9C<PJa&VCgtN(EVq1uOSdsTxCc9_KY7>>
z8!DY1j)m#+^?r@PF+0Xygun(hBa|fHY2Ce(E);fo9&(=KQzgk+)86od7TQZcVW;3x
zWH4x-jGwmrh4mTPgD=4Djc3fL@%&}bY2>gCtW8<)ZyoW~&6WSu;VMHzPFlp{$6}wW
z!5gd6tNtNw6ullN1FwV)H*G@PGig*u3bsEY`rjJjw81}9dEl5~n{`UW{U;|(xk$Y2
zN%AV<q7o0<*x-8F^4(;6w9CVTSl~x`|5`}C_wDqo%?9|wY3lAja0JIU-oM{)zZ}=P
zO7guBn}mp;@NBx~za_Z!bfWqa%o87)Is^A-pMEw2ulilzI|o-)7&}eF2j9PHn}DZz
z>4!(*(7tE7<oH?ZZ+kET4}|_)BKe@!4qvYiaGF5-22x(`-d%}ySf8IUeGpz<S4(Mv
zU*|3elk!&|Se$tcM^lNtCHbxs1AA)?9Q2$?zmLRQC9hY(&MuliKfodtan|{;yU{8I
zDW6pKf+rX5Ju8(#>PO^bq4kIGq1Dc!kFZ0JVObo^af;5M4W{6*qqz?MNjD!S`Kd&D
zYFz;QR5J2bE8NGo`r`~7&bnQQtY1&+Se`Nbwe)y1S-)Ki_vw9beJ|5A*`ImAs#sB&
zFL6qP?5{8{`x$1~b6L=Q9-b4-PG*I7x^AjmfuC=$zeWMy4rO{x>Pr=sehVe66aQU+
z)TgM2=DADLcwSOGElQs6y)gf_@DpY<czb&@93MW}F$t?XR^Q`<$3<Par(w;M<b@q@
z)w0EEAKX%YeT_VC-0b#6br2p8v_B&bi-;JObips@JBK9T^2eY4^uV?XRfptZg|dSF
zW>|AHRD(Rfe7<S_t~Qvm?sA$2%x4o5^9rW;)wTCHj1S%PzlKj3)&}ds&CKmp&)~BW
zK2b)nnuHc*1zhECJ8J=t$fmkIg<t#EUABZ>PVrWiz-0?L?H6HVac7ZySWSV#&=Fph
z|9ZIqejz^d)E(Zrd|)gSZmUz4^MrespX|$ldk=`-3xE%W{d|}LTe0|aU5Eb!UK&k<
zSE(I5LgCo?BE3iO-@O&9;jmf%?uUu6SZam|dA=(wWJ~`5&Sd;C_yAtm)TbK{ThR<F
zB*WkKZhm<eK3%!@MJoJs{U+T#I8k;hUmpB^weo5>ye4U$`UJl7TC6@29@>B6Um5)2
zv6*BD{KW0fjdD2H?48$bSYXlb^9%S3^UBw2uxUWug;#KVP`~F*`0B!=9i4E*ueC{k
zIJ0LUgFFuped4sAl-Fx*+c*q|t%fFDg~wKCZ+(VeTR4f6^6t8mDnDRlr|XFx@Xt>>
zo0ed~ZaXm_xPyb@8Wo=R(`C6mc7s(`6sT$8`$iLAuE6c5_gS;Tjuf*7PH?=p<yZ2)
zLq~?iBNw<?Uss*H4-vQTJmW?9TVrr59~|bOmT(EaGh=&09KKt0nBf8(R}n`i33Ht+
z(6fhGsc&D9hu8m0eR&>s<f-^}2sT(_r?-Z0PURds3bX&D@IDJmYWBR<fTes~>&@Zm
z*yeqw;d<?}l1A|O;l)B-IIFqE%LG<s9%nR#sXPk4>cBVG7^BVLye~Ww`tXg@|GwM6
zAO2fSIsvoZ6m++PW!mi~Pr+rT+deqMyb`L$8gTF@d85nl!COxfkHKyG#Y((kx_Lu?
zc{p>)zJ|P?LN8eJ`Vh=NWX^pHHWoC_5QRS`hYLo)VltI8;;<iI&^7Y@3wJQ>VNO_*
zwTSgG++J6(!~xG+JS({eUktiz!wjE#R(<dR?D&O`j}gwYuJ4b8JxfNzH^F;HUY@@T
zzfy=%-w5xRc};m6*5Ei(_Gb#)8}ag17~J`i*=Yr~TzMrD1b1Y24bH<-byY>daGGya
z?04AxR+YXVtggrJF$`~h@YtNZk0WLKS$q)ofAVkx+5b_4?8GiuXZc33FH9ThV*C+y
za0uM%4l8*6m2H5TeKe)6!k%;Q=IUYFBg$Pa@QE(d_G0)M)z6_Ta8kJRts>ZvW9Hf=
z_<(bbT?%~qepDDa{>iq9JCfkTKZ3*^;6G=rqaMI@mrs|F_kY5@jvv1dyNRn9k@Nf5
zo24QG7VV_zzX0ph{BaF~)4u=mvw(Tq>OTj;u@w~?E#X<|;)mDZZmH}H^1hJQDQ|jj
zn0lA(KJq@1^?>s$Pnd00_pKgWN+B=p0{gSl>lwm5UJ@Dq!FJz=ACUSx{BnJZ4g73d
zG_NMilK1beB^=M^Q>O?|ZFqOY6c%>edsGE>*f&&Y2zO-sye$D!WfX1KhELNbGE2ic
z6Sci3V6MYKPxryij?u@C!sD-mWW`{UV^x((@TD^|KD=<^V)VX)u*CAM4clR^1Fesw
z;hDWBG?-y=s!T>vxU~0kE4kjoV%QD}!5gamN`9feFily?;)8>nm=6Ade|`7)xD}pd
zN!dZ#n`;Ue)L7s{uZ1(l;QJ%*%jn_Sdjr!Q@K2pOAxe0^#X09LSmynop$#z2pe*}a
zQvT$$_V2HFpQ^1iwjIV(DeoUJ#WR_JXRruw&h#|goRvpe0S~h6zda1!d-PiJ4jkRT
zmunLKzQN!LY2P&kcdC!Tg)WWv-Qd1h)-DpaRx)67g@d~)HOJt0Qp-l?;ZC}g9<u%n
z(`y~(@XcL6qrSqEOnO%g;j>abJLcgczy5hWm_=EnZx%K$&X3W8U4&^ImSJ88X_jNK
zh=}Q~Mfl(js$wNrKa)yrBlg$9h%QF~b__CD`-k}Mq=6GsumXo*I1S>D_)MGj!?qKy
z>Qr#cq?p4V*spk#?G`vVZ@cAAc;`87es)-ocA1jAFXS4}R=`D;KXox+8!W3}YPSu3
zC!(~I1-@w9d2=_c<;TxO57&R>R2GB<zAsl%z}e5*+eKi*Kj-C0zACY2^KD`H{>;HX
zk`K3jY2cKEKPjgelKk=JaheWs_*&`Jm2dE;&n1?!@PN*+8_5sfDJ*l#z*FkwTR+1R
zTT~U);9PZYrUBSEv^HN6mV7O)Px7<H;<JY};6C~Acg=AA*Z5^peoM&(*B3D7jASsW
z?}N_uGc_>JR%gZIu&=|TJ7uux62&_m*v@&0zJx5#t{6hD7l&`{PjcagwzjQCu=hbB
z;cVD`i2A)gJa~ZOO%iNz`OdksFh`rd=41Hm)fUb(aL;jxY0}@3`Fb+@JbY+Rplvi9
zITmbb0h{eHrwxTqi)~u4g%?id29f@hAD4$UxxP2QuxTOvtxrNTKkSK>ijKO&#ar>^
zSeU&yVv_XN(t9_xU4cD4d4?{)k22(MxWP<*e*!IFxwC1TeMtP(;kC1H3UALFFZiMs
zZxR`QSAKHHED&b<be3Be-eK*;;SZaAK2&oIZh7}MJs4Ik_d2Kn3ts(aPTIRkl{5WE
z;DNd`v!P^p%NV0WaJfZj<}H}T(fzj+d?Rr9Koso%G0$BB{<4{6j<ly8=OVW4g_~H<
z`IGiGjOArC8J{hVi;#<f<@nMM@WCZ6y^RlH1&;0_ZdhcNDliU~PcPSJhjo)ruq49~
zUnbwNz@}_o&5z;HrB+uOI4`N(I0L@n_iJVoe2nS~YZ@%Z(tl?S{rMKB?a8^Y;K(M1
zKQKkh@iW=5z~a{@3vek@;MYR<5+ked92{<zlkx<vO<ro7fW3YDB+6i$ja-^v;N`lF
z)8u|c&G~n#AAXQyLi-XHPdhTw4VSg}*4M%3PY4FRgI!`$beiBvccs5=uu^sd-D~(_
z;_ejkev!thFL7^R16C#8dbrhyTCWw}S+%>a9Om!Y@%aOM<;r0NGJay-rSh;HzLz36
z_ynevG#2h5%cskkkntBvLC?`nxLS9|YAT7J4RIZSryogpknx*l)y#c;a7r5&R~#&A
z__X3PtbA_IJu?1ND%pOS+|N~6*yJK$-|bx#ld!=zo?`Mo(uetl$}ey#FSX%yn5y!}
z@fmoZ3iJB_SU8ZGavH8#T)FHCw+YfmFTi!@|IWI@jl+T`=HR4zQ&Eoa&^eyIpD>Ts
z3<DYeDrPwlvjnUB>nR}5N00uud*>Q_biGHIjGryDDE0q_3#A+0kmsK?nj#Jq$Y=I@
z*K3mTw}&IDyZ#|QDp@dn0+w79E~Z9&>P5CK8NbWFru-kthem$ir&WR9I`90$06Tw(
z2vUR(EXtM8!FgdmyJg|=>Mg2l@T)wR6lwU-0pV4WZ>ddM92J4D_iYH>3QwQbt=kK?
zX>L*5LY8M#w%P$dX`cAN1CQ10ALN7Q_x%p#f+tt`136%qkVY;6xOkail^re~>gnKz
zf0eF2riZ(?CR^@?&-@zaq=mVyi?{{h0lDs~e;8l==HZqj0{6bGkzI$S%CB1q!wEME
zJ}tq;S;`9%u(U~x!4H^vNIRG0m(mG0eoeuLb7<scVTb1zE>FUbJGcChhI4#OIELXU
zpXNZ4uLh0CMGe4|k2>W^KD#EgPr4H>;}2?9hJ8L#7kq$KWg@RB!qN|a>yY=EDx&3B
zNq%e+^|6h-e_;Jsr9}<a>TPr)@2{lwj2n~unsZy?R2BSr>~{+(Z^;$BKM!^uy>Fro
z?<qFTCGS7beo10G3Hv%~pCa#5NQbwHll;H)!n|q%?DOA;Ns`}Zl#Gu@!@L}p9;E-E
z$WeSg3XYqy-ERSFjAc=h@%tUl^EI|`LWHY-F#P`Dk_YKu^bXhw_`zxquTuR7PqvFc
zBF_UP&-m7o{>hnSAtmy>;C}4dNz&ihJup?_48PR+OXUQ&ihVY-gL!PO-Xr}bv*Oeq
z^86v3$@>)PPe}zo^frS(Z=CP<hHvSeSv~_lN}0Ro1>eoojnjqaFQ4BP2p3i}Z6?oy
zR;bSn_`y?msh?@U2BobI!EpP0oy1Z2$&uz=LGU5XijRk2_9pS-P<Z~kv$j0kpf2*?
zEjXm{;(`P$pBMi74$SnN&ruxykre!27<{dlt(Xr!)H?J#8W!BuAj$)4D)$#h!E27S
z?d))o#(tGJ*lmN87Aq{eZ*NHqY(Z@u^{)f@)UumO0{nZCm0=yGA9N~-g;)BibZ21e
zOT{XQaM`Znwkdetq_89&Zk)|z`vjjYm{v)Fv+wAJcf(10XB;2GDHTdrYG6iD-c=Hx
zZ=9N|gjqUv?<T)@b8~lZ3Y;2rqBIp&4G+*yf{z)V8zyo4)r*I3!h&U9m(t+KVfN=i
zF#DA>U9x`9Yd=)2U?azZVY2?CqX{+VV79o~S7d)bHhLUagco;D>n6jh={p(@!Rs%L
z=Scs*Zf5!i8~nCI)sKuXY%+<x!~*Zv-t)yDF3;;ON&SHLA?$37JYjZAKKTsz{h81u
zQr|{aOYMB%d%c|(Y+#+3A2WXNZl@zuXW+aB4;};flHPq!UD!-9FWCrIy?!T63-;b%
zeESF-n)scATyHi0H<*>-YXO^755p(d_Warnw|;aem4WvKX!{DoQvNb~NP9s)!tjz4
zez%wyzZcH(64m5^YgauON&D09F&<727etTy^TNtP8`zm(>Xo*IZScnzrN(RTk^dAa
z+OWb@!7T%S;Z%llKGJ^PpGpb%2`9c2i6ZTDTIbVEzhU3*eUzksYTRa_^%d@~Ouh04
z?YZ(B`}S$r+-~oF(m%DcIC6OuzG{?`G7rn#RQ>e@zAGepmh?}RJUJc?z^>af-%h~O
zuQ|34!<=lgA>{rwz%g0h4Zq-c`kUMzox?^oKEX@E8YSfZcub*q>OJfr|5E59+|Zrv
z^by|WVmAC94*TN4)&^e+{iNFh&t}=jzJ+tgyco#+K6T3h`PXn8?Jqx)4=nu^sBMC8
z-$;<FfgiQboUel`dmr!?!0Un)4h?W}#L@0NI9Kr+Q#BkxnZ<q+&U;**(G1rguzf@F
zvz!j^V=v%OJO^TJ;gr?8XItU4NQVJC_y~Pxc?awf*b%A#cRgq5`V0rf79J)2y%n`r
zo@9S{bH$js;m1O1p<}S*9<FB6KQJF!7VU>i14Xt|z;B0gE6MSu(BAp!FZw5&yUv*R
z!Ke3j)y%<Px7%MJ$9GY@)06an?%Hgj>mkdhh)s{fop0_%kl$-;l}so7s}dI_i4XAI
zsxP-X;n_whd2&9M`4&_=;KLPt{p5INGpFu(1%G=}{e|q0MeeiDFW~1)Rv~16w<Xv%
zK7~hyq@vnkewXWkh42BVE-7-nH(BntO@=?N-8=LKHgh)Eo(MnflNoviN1p#jc?WLY
zJvKp(?}2R5+Hm-&e&Fr@AK&<{R6n@Oj4zs;&vtGGb02uF=ebM`d_VqNyBi#r^sk(p
z&w;}aZ@a?G-f?H2!xuEvoUGt|ceriH`TV)_=HB!0iSi=qQuvgZ7?UnM9xA|60q<7x
zYSM;ZZY+CR1UqQ+<txF1(OW9Z;IPLo7mmRGXEMy5z(YBkPl&@?vKDQMVNEG#DpB})
z^);GY_>B_lG%x(Psg|V>_NH)8=Z1$ww2Cufnvip=l(4SoO~nG3HvU~11>E_L>2n6W
zHOB7Yk4eNEc1)4=Squ#s%)?b>8DXg~N8c6s&&2jwF<Ee?#q#11%$Fl9n*<A+h4!|?
zkGQxM)8T(y>@jcQ-`Vja39t)ShG#9j-tF}@84hDTAXN=pl`V(H!S7@J(@WvgcZQfr
zdDf!M=ZcBno_QJ#H@9S}rNPWJ{1p%2W4uTICc^^vV$a@z8w(>`;^E~**WtUcwV;H^
z12}i&>$Tf(rO7LnTd?%*=-ZKS6tz=pFwA5{EqW7n%X)s;A8yj@EW8Du^R)Zr18a|I
z=mo;wg2flz;eGQg-PcL^t#*Q!Ve4;!Ufyt9dvUA-d||u#nlJoe%u&}KHuNq{bcg@T
zsd#lB_V04r=?S0Pp&)MtuT*N=U4ZTA!txB@Zc*BA_ApH!mw*nuw|Hp32^=ut6mtxI
zsSsUa3Ky_4(jA3=pR-vx4#z3m`W%K${;~O<gm=bH<sE>}wX0i8!x<a2_{Cw~D>D-Z
z;D0}8?g_&=m8Bv=@LHfF^-lPZr(xk9SaRb|IUac0(>s<Ke%%_8vl;%Wu!WlqzIMZL
zI}6O1(qXXyj&&KhO9OB4xiGpB4qp0jk_!I!`qhm;?YMu>s@APfAm4A&qg{uWRTU2W
zhQ%W2PR+nH=L)kHVEc^d_ut_FrZT=+IEX==V+h`HN<3;DE>~!d8-b||RH;A1EGiy@
z?XcYQI<HT#R><P{4mjd-yL1oipL&e46+Wh`o!Jg^vDV*w1Is+NwtNdqhiwsVfPJ{e
zKE8(c@3@uU2>-sh9{CEETm7V63x8zsr>KTwpC9XZ0S_fUuC9Qif5f?$!@4rt_ZP!@
z-5Xab;qfnO(}l2xtM0>Mc=2YVSvGvh_ZeRq%yedcTPAGcN%<lluAy-cO@ya%tknu(
z<JDC4M{xV5!tqSF@Y$a7dvKct{ly%(q3x_&H2jpyfFT8Ljrlwt3UepqMy8SFTe(wi
z!IaN_NF>0_NhzDJ!F?7-OCQ5bzlPuW!>yk}jqbw%y>=>|@Rr=3PY>W}-Mlq-m?4<g
z_YVAHSJh`*SUNxZ`aO8Ki~6xO{I7djFdXj8-*VjmzFci9au-&9V1Gmp=99~Kdkel0
zI#;L#3(ofIgu$}0$NoD8e{SMhybjNX8R^KwcPp>{4k7XP&l%)k#qrXF0JyV5(SJWY
zAuz;G%6lBlkQalC^S9Msg^!&o;pc~Q^39t3;d9>v`gq{WAu$&{;HOmLb&PPOdXuvc
ztT>SFO%DgVtg^YmOKTDxi{q&8{=x~~FyF3{hy^%x>dcYLu(-JFcpvOiZPiGAZ#C^z
zaxc8Y?vA}HeDwNrhe}v}+0vb?AMeZVE{7-EZ*L{*Uv12=iiXeM`<YJmXGTDuKMLM_
zhf~uNzVYPS8!Ol(?~CzGSS<0$t@E(lvwy$+;1g{H4GQqaw!0yraHPWZz=N>r&rD%*
zJc?X4X>r4!KFiCH^I@PlLB$Ct9?|L!f?pjmX#f2M{R_)SBN6bB&(W}7Fvs_->%p*e
zr`G5Q%$KY{PvSOK8i_-&$R*YM8?b4P+Hw;-I9e!8)}Iri_4GBIGhfn0*8hMl+&c?4
zrmz|&%SRZe$Y#Lw%9hv2`nQd2xf}pn+U{VAh7B_giTlASuel0u!@4D57mZ;vsw)by
z@TQelLWc02oAv`_eH2dqzKU@BaawCqUzsUi9y|>5F|KSPaVZD4J3{co=*wZGex{v%
zd14p5HP%9mY;Uf|S`80;?~Q+9BrNZz<IM$slDMc#j<@(wg9Sb8E%?Zg)K6bN0Ulbo
z@l((*a(vy5&qi#3$75r!lKts<UVZ%U7{;%k`0|kR)2k>cJ_j#6xwoB^U+#H0Jp=FM
z@cMuKq!sEi8;9pj{M39AmmF5(8iT0>&W)4$5v33i)(>9^KW9hkYdy!J<|o*$Oo`43
zZX3QR+6w<-mu4d6^B2dzHo+Vbtc4D+m6gER7qDCarQ{{}a+gqN6+E0#>23zgIoN8H
z!fS<DKP_Ohmf4NPaH!d}I3qa3QT$3SY!Z2q`waYOrb;p!?nzLo)`4Xb*VB?od|6OY
zAC^~&I-dx)Sg#Ii!OH(SI%46!Up`r$f<@~c?%adzN((5};ru%V6cMnV`K@40IM8C+
z`xg9MT)agV7S@-V4TLM^C{D=3)aSc%{D~JjW+Y%q>+QUr@YTK)Cu#UgRCBL8?0v+Q
zRRoSrWj}EVUO9CrS`2PD=GtHn=V^3z@xq0Hb+VSQzVk!l?eO;B?u!;M4b_F;Tj2zy
z23uqJvZ0U<7u??Kzta$wIyuM727eK2zjq40(2$e386L>hVLlEQeUTsC2p`;?5vT%l
zUHNWJ1uxP$9#Mj`5=*Jp-@!5Ug>vv`Bb$(aa9hS%VQKioz)b6Rc)L+qf(U%-N$kl5
z_`r=@Cc^MDx-;Lu604213c$1*|2ltzQ>X49<%3_(`j_;<>+hDHaljY;@*Nn2wKO~3
zHpA5s1Kpjl#UYsq23Vod!=wjh^!Rs<1|HispU?>3in8wbH;VH1H~3oM&w8ittizi{
zl<Ho<0gtx1e}@<JO<%r-=^ijh&cMrd>^3#<?U@f8gRu2!Ub~mD`u2AneXwBJ2ii*5
zIDJ950al<;iKvH{cK@EJhgEWZh*!YN?ank2a9vkjc`NKrai<{^w!41Ol&mjslWO!{
z_|fyU=}}nf@t@9pFzrX0<K%ew4X(0K!N(pazxxFX&}8Y+z(+mk#5Ul3Jlk&U9{Cyn
z4|hN0@Lu?($Dm|5Y}UjyMC!vK1v<wI@Td%zl_>1Qo+4}mw}r)13c_E9@)p$L`kN8d
z;;`Hfy+Sp(h>b2=2;S0s%u@)yp;Dc@ACA7fF0%_x+#r2&56ogU9m)t>US)nqmX9*e
zJw^|I@ww)_8|EsE7hN5}c(7xR3#reRW0un^ux33M`!1L*?u^+2JiL|}O@6OyW;gd7
z{I-Nch7aE5wDs>WJo$9zft_&H>bI&vII=3To7Csi&0}KSFuOmqF}WU&dDMRU2;Z6V
zS|RnBMgO_^8<?hZ(TiLUR|OvMw8G{oX57s1{>5AWD&gbnM|nv3(|=rQ%3&M6ylQ$_
zbME5)r*L;9=Mg6O<5uI@0(gMcZ)g+zk4N`h7Ob8-Zb1XjSgY}6!22VQZ6Mb}_Dwm8
zSeW`4BLyk1N+VSl1HbWiOkG8MP*7Ad99Bwd+W8mmcr7w_8(xyz-LMRoF7CFx4qFBK
z9$kSqmWgZ+gqeIkjnBb0!aFHl;gx8wi6z)z*Zz7Z`0hwY$PDb9y({A!{P5ZNTjctq
z>OW|04vQF<3s1poE+U%Ru+BG`edKzT9XLjH5}p{k-8K%31j$bwhJ_`U+os9#d(LGk
zz|EeTmq>l(A3hZ(0`I$(a%mEduktxA3=aq_Fb~7aH|)i@;dAryEMH*Ohl$^|k@AB#
zi~8YC_uK8X@P~`FMI&(J%cclwxG9HLuNOYel{z*zjPVV}!yROOo6EnY%)(jo*WJkV
zp635*B^o~cX#O%eUi6g)3isim)@L6``?Mv@&CMBZIy9t1&gWtMU!|__OQD=XcG&l>
zHvL&ReR)ls8@ArocETLi@@tJC^{qm)o?Qtx-&Gn;uAi{W(grH<HRIrKGO%ak8uu>P
zK2vsD5njD-V<rUuzR7T$+z*PFD0b1n2mNno>cV-~ENtjtF$VKYazC=pIM`V;g#IdJ
zL<-5rW`+MmSHbdQIjZFTSFitgG9B*F`1XS2WB&UbGE-rV|2A1&gcZ#;t%kve?(7(G
zfu(~7DsICcR}NgWhqdZ1F}uM$gQEYO;Q$5Qw=VERm}0UWtmF4dz!dh7VC5(AH(Jdj
z#_)AP{<;frO|0et75K#M*2Cm}9r{dVNfCbfvUAWD-oRLXY%iQUdG;*1KMVQS(Cmgi
zFIcVFz`=w2%vj(%CmOCg!t|+!c$naBmL_fzuVP4c{yB(zp^P%_KRA15wfGX;UAs}<
z8m@hl!8T6f0$b(C{`})@eLqSZz}|Zfo(s4e+W?ov(R7mIQGckx@Fn~~?4P?OtjX`7
z=MRS@{hKEF=vV+xOdz~3f=w$B4s*L|Vg*;#sHlg+VxBwVZQw>D<8+eGZFv*dt_TZd
zQSv9jvl<k44#Ur1f31y$Wk1|;6@wpW9IYn(5o#5;`Mt18BJE$YKG%X8O9A*!Oo49%
zOc#1UU^~2{KawvP9;3S!y$!y;vj0&Ce4f^iZ8N;HZf4K}-dOtPIs+{6GsNsF9JZl{
zf(CwXtDH!V$Df{kZvO_b{%2jh<oLN>R{QY>mTkXnVG0*qNw8joi{!ZmNxtMbA+~D)
zZns?UGk_)5Zr+=MFD?138Nn10{05V7dVt<zZCJO=>-8{vL7|t2)L+>P9KnO|^Sw{1
zkHLq!TI}AzOhS1Tr(oYYr#)|A0ee4Fby!nFfW8Lq6>u=tf+sG%YpH~vR>-fYzze53
z`O;xdML)OW@X?0w!4%k)_xKhPKiEcXZwqg%U7<FFOK%^@{vSv89Z&W5#{oPcLYZY`
zM3JrZH9{#P$_lBhGAbhy2_Yj%W-2NqqZG;}Gb1BJNVbTwS4tV7-|PJTd_F$+-21to
z`x)oF&w0PE4SBtR%tdoJ;9nSRR3GkdrD}Vh!A@HW>hHn+F_W#a@T;VOu&c0<o^t(j
zxKcd5=^DJ07QZJ0wrxu1I|sjcxRjVr%;a>=5<VAhyx}d(AbK+QIQ%gz`g#rAF2wv(
z8@|D}+}#BCeV=VV2=^vj_}m7I<-cS-3_Dde?(c=I1l@n{g-2vWr3PWq_hK^pVT<pP
z5o7S}sp;*z;U3*@!PD@YbMdEyVEIt3i3Rw<NB8%<a2wx`i;FO$)E*jsctii0x_>ZV
zUCTH#JX`&^iVE?Gu_aGoHnM#yCI1$9zw67X-@O<=CmOS}!@}yCVoUJ8sP}Gsux#7L
zbDv;|cI!zoc$3h>r=MY6-_B$I!M^hrmT$=Gc{7v`!OPz!5{qC3*Ifxm;f+S3pYOxj
zReUUlaA{)-Ycw3&66<UVhwwc=>I5H2Klt4S7Uf{M?F`R5y;Z#er)!sWnZTSb5v3%4
z<i9GwZVumTXWBvHQ|qU4j>*A1=|bUQ@ZMm$-~+I7b;fiQyk=G>#sFWudaLglT>WS3
zrL8cd0kh(3_}ALj`0*aB|2b~?x(GhSdAxrT?)v(Zz6$o=ZR+zDe#6thOyaL`F9P3I
zz`L(sHSUJbnlH}Az`=Ld8c2NJ*n&;+39OPFBQgW;(x;!h0k7!%<z9r%=6EFiU?#da
z?|<;p{cYz=;JrHor|B`j;GV<v)C{(NAfn9%-#OU&Q5KGuEGgXy|LJ?b<p4Z!#(D>t
z&)8yM8?oAr`+dL31~MPw#CNQD9UdB`w@`=a_4IV!!LL<0)r{fj<D6kN@M+0U&n)4)
zGe7z=VAGZzoOW<|d>&UeeAKAR!x_%9y0el9Up|=Z>;_*MK6>C8Jb2<<n-839vV}7W
z{v^uN7yy4udw=>N{NY2NNEm#g!&fc{c6}5ka1Y+NAmbJc&(&(*jDh`&b81~+xm=~i
zMA$COg6bMP=JoGX8vL=j((o+IcD40GHt|W@`xfwGSF~6$tPwEdtPh*%GVLyhU3((4
z4dJ(ky8`N9pIw#zl;D`x*Or>$+Y)Anlwkn{<ujcyOCd@{!Q0m#o#=!4BF~sf!@Qi<
z+27#WrcA|Mu=2;u)N%NotBR)}{MOBjb{@WdKE!xCyue+u;SX%w$N888o;SE-u?}<k
z7`ktU_e>U_p~U=HWA#7*Jsg`6Ttp9taMDGuc47WqCNrA}UX{4lz7FTy_GRLP3uH5M
z=iq{W4{3SfZq9x4^Dx_hovjcY(4pKq41d#bwGe|<gUYv#z~y<GmHWx-cPp8HghT0-
z|0DBv&x7;gT47g~?NO>Q^|Ni0#qhqXGc;OoaY>+X87#W(y^SF}t=Ht10>}CI_L;yJ
zxMT`m5|^4PTEp7(*Y!Q&bsq--7x<b?+g)$C$XEBKC(L`+vFsGQi*NS~nU7SWELu4O
z&vek~+=c09S_>86#O?ixF>r)1^B*O6@LF9Qncw8nS<B@muU9@7@(Ql!-9Nt*exRW<
znFoK=<l*_-iQnr#rIVF#Sd_Zy8vJBlGQS=UY|v9JhK+^q(GSAhd}sYj;cIPSm&V}P
zjmbMA;F-A3dVk=!f&}A8n2EMCYaL!*NRab~<<5J*pv3%dp=->w0650ncM}85Y7=Vc
z3YVsGtdaTQ);zy^ZtyuN9&?gE$QpcggA+Ww??N}3Umh;EIphpm%G=BDhCjL(W!S+d
zZe-;N!LRRWPF;eZQx>pF!HT>0nVg4LLKY+T!2;sD9$$nd?yb#|`ELFAO*H4=36q2N
zO0ZJIqM9ZA^Q&qjnJ=dt=*TmMnP>deHQ>3z+IdrW@n=v9nQuQn`qbhieC^1)od&RU
zTKLmbu<ZK=KNFbyjpY_SnC%S3Dw)q`VpR?{gljsO%1C~p@-W?!7Hs|IsN5A;!+Tjq
z7e1A#`^W=c5~+NC6xM0;XYqpPUS|wz!raF~TmoQ@15Wx!VB5@+8L~cM>AC4$Rd~mX
zYMlr;nvr8&5zg0{uaAV0tbYA4Y?MVAOzKfEPdy)(hf`ljQ9Xx$N!$}6uYb&R;5@0H
zL4V+I^nO_OxYZ!3-_mqmtX&4C`_DnS5LVOeI3fwpW!*0+hWo54eD}hsobg;F-!Mb;
z{H!qisjD)&2CfyAx0iq;c{+_cV6Xho-GcB1v87g$|N1APd^>r)Jq_i)ukbR>slc7E
z_i2IGq~3&b|DkFD*db4XVG6!2(6(;}T%mqEXa>GNSmeY5Kjc3(M(R)OpgKCR4d(mf
zWVHlOripWNz(e}p?>1n)%<I?rAxv<x?Sq4qu!3T2JqxU>mKaYDOLOzc(Zj0o`5aqe
zw+9s0w!r;MRUX^n1Owl1)G$R<`!5bSCfACe77lb8G9>wjvwD4ZH^9BxKR)h)A3uKE
zyb;z(U6&;Jhs<pIl>T;Ly!W0iT@toYXYpKvMV@ie$-xu}e&fI4R;pcrBp-3L$U<ld
z7O;>WA?uR_ckM%768b~^ihW06?#)|{Ou-zr+KPJcb55tMZ*bY5_8WazX8hR92z*-e
z>~>PGqPg>h=>U0sis?O)kN7j(FXk)!EZlLP)SHMl>89y{y~S-ENIv56m2CAscsa_m
ziPW?B`J6Jp9iF`AqTvEdOZ3fmz-DIyUwXp*1;Q2|;dB0;0wf<XS?FJUD_l1belrk0
z8m__60Qc(ptp&k%N4bxGfMw*O%t`$R5iyIRYWU1RK=*z4hr@q=YT>k_kL5}I2d}#>
z=gZ+vsldE=xTIJ;8I!S<d>pZ?r2fOXf&!l$SnQeoX0rb6(5qWzdGJRLf4e;R<gGWN
zui=*^=f4-g30AjkGhwxCFST+wiZiG41<V~~R#6Eb{d$8f4bIr?%181Mw_i)SnFI$&
z8N_~og?BqwK7&~W?N{32mWK}{pTNUm>eo8q!;)tmp2GGU&vp#J1wLNA58-{UWls#j
ze(P!+F>pbWUiJiBDQ<rI9(*}mP;43=j1sJQ0MBn!4qbp>ygZh83vRtX<hKm(=-V=I
z8_tei{YruLj`0<o+P-kxfd*5u{_#{_f3QECS@yk@0e%qwZSgu>lAI|^)=x$xrO0^0
zu_=uY*<tbi7tD_El88|lH*E6iyq*&*Q{pnc8!p^+?yU`c=gfYaJuqkAj=y$rjjjHB
zlF#_fpQ_6QPB3pM`wupyddp@GANV`YP1cW2nLhfV1DEz2vXJ_44ryAFC*WL~Yc3?e
zkt%b={Q&Gu?>$V`r|PD?EKr1n+Y(ev;A49f|LuksKL_Pn!UtQwD(!(!$YiqE!vefP
z2Y-IXc<RbC2QN7AABWch{3o%sDFCJ#=}7np=Tyt>i-dp5n|x`7InwOzJ%+>U+=NQt
zzsA`c5@DbBzpTsPA3fhK$a-Mrmc+Jv*k4AgkE|CiF63q`gs;o^DU$WX`QG-EFJZ>#
zs(XvzM5*CD>9GDj&q%U9Su=&7G7gRl-5Xd7Ul54K8as?%U)YW`llGc*J0f7#Y3ANf
z@b9}a#*y&A11*I<c<ADp|NLRg+A&FzAGgn=+BpEevLbMI9Deh!OWPH8V$TgA^&F`C
z4u!bEH9fQ6NdDi9tm@%2uv_W3CbE8ewrzalDOjl{*<ler>{k0g7_J?OIY#o$=<0n>
z3BeL91`})8E^1bCeFL0rma9e9hpTDaR$6bz{+67dBJ0D87UIu!!$Z9mI$L3b>s|t#
zu(REk8ERN#7gKj399mcPnXEUj+O-;60Au>il?Hyi=zZc5EWO@u$_!Jwy0b>ZZ#Vn>
zCHazU3Sp)`aANe7Eff5P?LMzJ{B1gfmTa%k|J7~|w<d+ok@g;`G>=T-7CE82q&{Xd
zvyt{exNmvn8p)T-{qD}F2<LzF+D7u}lsZ=SZG*$wBd?M5@dheVzgb}G-ksaX{`xLx
zr!RcMeB*7sza+oz_m{hlKjFPiy|H9}(sfJ<`rvEz1~g>*<LFe69{8?F?+eo2B8!vu
zHT>A$+?N*~%JTk@M%o`3;N1=@9#BZW0Mq>!V<isHh?EZ4z^8xkSN{ilR!|h5fnUZ%
z7m$3sgC0J=P2kdDzU?Y7Mdh0oE!ghbZCVYu_OKL#F08D@Vy6ceD;SR+f@R-dGCc`j
z3TPHM0=J7Smzu%BQWLBD;C~V7nU*m7VdDe;!DoFwZ?%W5=Ph1{!;k3y1d;r^P2(-Y
zlJJmc;J7PHPtjh+2j4qh(R&?st~j{N4?jJ6LXqU#3GF#>kqh1&Y@2@zzW*UPnH#32
zUSSJ|<C$U@x4}E^Fh<;k>EbA~+2KvMl4c*lSNetoX<-fJ>aR~=Z;7K;bnx%@r;en+
zpM>|eY=rqXSeLvcws=5K4Zo#b<jRKgt}KcTw&D2LZ}2FC-?u)S>xXOjZP@eS<GKE3
z9q_YAvq+LpB2+f|trb3?EYw2YU$e9RL<6i{zfCh0Ui#1EPcHl@v)7*-&$-Dn!6h(r
z%5Ped|54u^`Zxz3zu<72<Wm|kdt)4i>%BT?3(2>ve*aD(8y1{c4q<?I1Uzppgt;=d
zv5@O)qnCO1Gx$-B^6PS3e~()p@jQWTBe(>s;HRONQXawe4t3Vqa1=*6OC&6*AJ?A?
z=W@k%hQoFib6(_r^|h);^)}4vP_aPj)g0Pd_rV{|Xtdt{1P*A>df@`^)mqq{1dr^~
zvcCfV3RkTm_s9M{5nZ;hD<k#6IQV$({kV&8X^}zyeR%OBhudlR=%M=NNAS}aK?Nh&
z_Xw-wU0C~D8rxCW{f7Hlk}n}LTi&e-r}kE?g~G{ArQw3`w!5dkM#H;K4(jiMcS*$h
zhQryf*RHO$qCY$6)l2I0NVZ7J|ApIfim%^;DLFUH^ur!H6{ckWOp8==dSNEZr4_P&
zrH9upl)<XBZ~Mvjr7+hMErGY0&wG*mQ7ZcA{0!FU;2a_C_v{y!O@b%fkKcL#UsAup
zbRQ0-`RhuK$MX%}KHr7?sYKYw^Q1YMUgZw_INURgeBKXVw@tTUv-uZdA;e0FSAF2N
zq+id%;AKT7d2iUxfmihwEH!S;;s}4!OW#lO>s9Pe#o5B5TUMMs;1Tx#T1)u-e)&mH
zIIw?X^I3RG`fRWZ%u2ma;WRww_lV*e928oxeiHsYTAJtpQ?-1*qyt-;{ortdR|HlT
zG+}Q$nbRbHq&Y#t>InRE*}BC7R&gvBQid6lZe2bDGgJS1AP3K#$s8rm<AKqgJo{nI
z@u}U%VTK~(5HVP#lrdf#{<ALIy&L|~eBN_E{B4iBIuD$g<^NL#p0Dv7VuW|*Z_l8F
zBN9L8(!#~QB7&P>+mDx-CtC3PKN9IC{X;XYpU-~4k?w*P5wKp*R__sbh|$4|^j|NQ
z`E8wnZ(7<>lKN!ZZx8c-hjaHl@jVO|&Zy^4!G{K7Xvq5hGhOjvUttBAPXcUkUdkNr
zI6Pw3md*^XO!`R=!bYV_LO(E`Fg;XLGYSuDEM=1Mho=AO_&&JVOrWtE{-YQy^$oT%
z*=0cLb#n5%ls$*HSxUYk>y?L7ABo1pm5fZ1WIgi-=A+6{Ft6HVS|OaW#VsQYF8x!@
zPu4H1o?u@Kgb(CDT~CDll65cn!1Hd-ZqMLtw?p@O!wVx;+u~s7U)4`t;r`aW;qkD=
z+A)zUaK;bD4`J}FXSW~O!u5+?DkPrJ+0bHk5q^?dJM{nc&!JmBoQ3DQ?idGSdqkUQ
zq!~>2!*$6IX1~+rpaa{q&x{4aatxBvT5#*puG=@@nNOTk;;_z%M;C(NZLL1pqA(wg
zH<d4Zb1bNf3Z8eoXA%l`8?my`z~6r6ls<rS-@j=b|A^nua3Y56|H&#j>M1zTYs=ph
zxOcDnP#>J?%{G}1|2O|@#{k?frJzOP8&f+3mp;M{oc}2l5huq>x4~_vP2)(sqxnwd
z)^~8eh-OGFY}NVSu^L$W*OjSe*v9>sU;%t3<3#T#*e|sBTp@g5qnBbIoIF;cm<k6y
z*Ae{+OS}_vONae#T@M|HFZAp(h=b?0Dtper2A-i|@i42WL*H*WTKk%91Zh9LyKx2X
z$m>pyg!_jL#Yns)*6Te}Fih|EDw&#`Kkr4fLg5!vy_8$wLDs)Q-tb7R-%qmM{*j=u
zr4O7{mt#ocC3+Iv2c6)mJI7Ua!s66!?#^&N+l^<!@Dm&T5j!}krG`rkPTrNy=KzoN
zE_#uAQOPMM|C+%rR6h3daKWB5nRD=$*xV0?;X@i8&rZYFH_xl6!VVc9z8J%@d_vE)
z;5%vN#m8ZW?3nu};Fle*e`&)DCt81<fn{@@EY;yXSE(<V!sp+;jnjZF9w;?g!*23&
z?((o+Xnct+?77uHM*%L7?cCuEA5xwU6N72Di_*Elw0-;DOTf|E=P&udefmTH3Bile
z!NY!VY@48yFx;V4qe|+t(tqSFVut%}?o1=`5wYK<KUv|T7IV57IJ@w|w&G^=cdrFL
zeFG1#>h!&V3u6@zl6c70nCV@K@VD9NBvOAVUh(ThJe++#;cy1L9&C5|A*>PPU6=)L
z*0JJ=f=ACwoO%hj7fy$S!68}H&1vwNxXBYC@ZW{}OC&yXSHP|OCY)n)XZRU>N9g)3
zKX{Q%);|uGZlwO{0heb{EycqtY#ctWaI}t@OgMb+SL&1lTuCMP`Yy~E(BN(hUpMxc
zAjc=_$=MMLm_b6(!XJKqCEVEz&XNy_zXEgB3JsowbA>h7uEI~hSYJ8;>rCC#w}R;$
zDS9;F_luhK=i&Ya?F(wKmGfO{Qg2HoYW9;7Y#Mvm`xLQ^<~ezo>ch=qbvQ*~wrMXM
z%p|#26VBl~Wh@RKUAp8b2XC|3@P0RZ#)SDhiPvRZRR|Y=SDZ3$l6YQD>&OZhtiGbV
zOwQN&0~dp~!#nH(Wp}|8pSJzp3U6TAnIQ=O_Id742h++LOtQgD2506r!uOU(E!bi2
zhLnO0@Oep}f8_c)UTm^!xe4QQuB~p&aNUWFi9awy;WM_)u%@~7={cC|gJdW@+{RYQ
zGXrmIeJ4T*GahmY9f6G)jwO=oH*s5w{x|s8^}a)ExZV>?gDU!9%()i)gZCRw1opra
zxif}~@M1youQs?@*}icZ4sPCD(gKfpFWb(;Y#+R%D`Bo3BSs|tx`}_<v>dL>cU~a(
zo0e&ol$WsLt-RCZeiNJ!eklcBxvcbu<k##vsn!z@t1~4y%)zZfH3@OBgtZVoiSL@$
z@AC?SWkm-Tr(o-z;v*q&ZI9K%Z?JjYm8_d^$iG5{QCM$r?V2Baj9u~77r1=0gT6EI
zSl6RrnC3bKhZ9_FdPcSv4t`n`XaiGjN_^c9=SmoAUw{jSd9^;nN>}Jh%wdB9%PR7`
zJk0mX&lEnmGH~uA-0O3G))3zRo4d0WextLwKp!?we(Xx(*O}_xkt%REH;pB^pSK%`
zoIVWq3i<u3fe%d$*T|FCzsSD!9^T6l9V!c_a0s(iz~#+)%aU+-rC~@F?8QY>DGu|-
zH3%2O`)1xr2*Q^x{digm=NbDh2*8?|=MR$SPxLV*s~zx$m$&l@;NFfkVNO`wU|Bx{
zo*OQG$PDXU-Cmys&qmxdXM{i94!ZafRxCd9fd)2jP3TX9=WlJfPYugyGkTHueiKWW
z<DU<>A6QG<ynsLKk^MUlUks*y9u0p<Te6*m)wH*9J%$rMw@Zz~2PpiC$n&1U^-=s+
zIAZ#i<bBw_-2MCjJi2+di9GMQyp%q5!Z|#%Dx|+4IKm(E8FqSRG!y`fSB!0Hh6@Hy
zoF@H+NA2ZN_3(Qs?x<_9`^24%Rj@)ZGo1(A{J^uJ9F8))mg)pEzE_tkgl~0R;3e}P
z3z16e`LHf+eVH9Bx39e?1*W+dmwFlAdEisxGkAUH-=h~{0Y3Sp%kZbWUwz%-h$Fjt
zufQp~cZNv+!nY;5z!E;_#ol}it}O7LwT4gER7!@!NgIb6PQoUgDqQ6IKYv}l@id&B
zHsciwQ|38c(SvW%r_Vou&6V}j^x^O3Muw#S!7sG5{WzSuzO{k;UM*4GdfM=o))LWd
z_=l<ITQ#^c%Q-O@o_=lo=O`?(fp;T0U+hl)u~vpZ@P2ZC3ugs=esTmpH0#qt`Xl~~
z4s;4|wboueaz4`u9#d6<kH&t<Cg;0kcwhE^aHedSP&-_5BU<19{8)W#f?S`rFZm+(
z!8^pG&XMcW_U3B+emH3QNYyNC9Of@84v#ZW%aZ#^4UJ;zUO1CVbA<x;t6lAd+eF|!
zu0Ncp;E=0Px?*s^i>Ga5{)UH-p==l2aZ*i#5k4+hD<KRAiY3vJ{)W{3|KfJSqr24o
z1mME6a}0v8!`CELa=#u7JLSm(_X?;L%fO8t`}6o<o|2zjhhVzz(K|WdGm7^kNq>Wr
z(Z!ex&elKjlRPgjt$nOxfs2_3Y)F5jo+C(}9d^l95+n01^7VZwjIduxSK?VXpr~+w
z86Hsy+DP&*e{0Za)4^{-`8@34lU&2M7+}c<Ej^@vQ5!7&lM1fox}fI@|95DU7!7Qa
zv@ORQeiE+r_+KNQmo}+Fr2gaf-MiZ;u-y#*%Nqnc8=gP3g6&saCe}!QWB!Ap`zm~J
zG4|YjSh3IT`vOd-DBKYRYu^(*wG0=(34NRbU$#6`Jr8@Rv2RU<|2~yk{RNvVHaKMy
z>zdn5!=GpjMsi`l%lngO;qDt$8l|wwx+&ur{P#{s*<09rBdz}wEIu~p`w^Zt5T5-8
zD=4}CZiO$(tqYC9w!8P7?t#l}IHLyOokgileejdtHPqzwsViF}r{U1iE|)%7tviBx
z4!)oe_<ax_+3>rb<R5oW-PP}gErqWh+KBO!jK{^0Uby+1P$J1+Hs0*8_z9lvOWL*t
z9v$Vd>w;ItX?sXMw7dNF&K7w2@l9QlFFn^+qwyJ*3Y%cw2lvbr=QqLBw=IK6{&iBg
z`nh)E70=h&u-{>+rVsE>&7b^aK7`F><X|g&`N!!Ik}tk{q%OT4mJDt-A>+fHz2-*b
z^U~=@e7)f5nf>qH!vV|2zsdZCgiB!xX;0<9(>nncqVZ*EfaP1F=aXOx{_TI-;K_HV
zJxKokyljhABkbkeJW~q~$%kzr+rzZ_Sq5R&xdWc0y@H<p9TNZVi2t{nynof%vl*lw
z!JdVrdu0ED3qJ|0!OePCl*s<wTm7Q39pmAhM`_Z?{yC-VzvX}xeot_b;}P~H!%qaJ
zdF2sQ1Iu;r{Skx3cA77f_iLN=DprE6qrY9Kg4Op<ODe<RtqonZu=!ripL#G4wWeA*
z{HXMejRCxwTJc6DJiTzffsFT~Ir1lp$oBHqL*_8!ml)Hx@TX@I8!y9MS#<RU@S(y-
z?pNUB3O^5&z;po%3jVNilgW!*_`k1a*(4rcdsTNZAGY<SXCd*B*zY-78Sp<Y=b#8!
zcIolk9GI%<<8e}dV~6m9NIGnoBV9@2Q&Lf5R<GgR)kFLwzBQVBu;n@2KC1HQH5~jy
ziuNVE?*4NrAEqDhb4`G^_MW(02rF!H$w-24Pi|<ffc<;ka>l}cLd?|P!Sa(C22bE>
zt}QPcVU_5G@+dfB`2shI*LwwhTYL!T(6ak<z|UgNw+6v0*D7p#;j21&n?vAQMwiB6
z_;ndumpYtwuwY^dz9D?{sVb~_XgTNyJQV$ISR6i5<ubMiZ?gWECJIZk<ps{c=8?KL
zcfgM8vrY?e>(d9vIN@KJ;#;R-Et(;II@n+L^b&c$EvF?XXy7!n`wz+dK*!4Us-*^;
zUpcS*$o#;!(3U%YU^AZYydyBP_wR*Sc%63g!5C~Jd7^9@F8Z=ldJsOZ^(5*Gd_j(n
z`#ZdF=$~mH+-+xALgpuWE(zAR!{55Jqz2#^zwo<l@Ug2t&E)tfvG>}%gPYnc3(4_0
z<ak`F5?*S&XY>iC>ADhE1iO`bH-3htbw{n<!0|k<Y@1+;t}QK@@PN#{FQndHDlPTd
zbXeu^BqxcF#<lKkOooN8HAay6mMx*V_Yz?Tp5Nj{Ftf|x+GBX9XKPXk9HVow_91*B
zbXhqUE-;MRcNZRIY|SU<%U7Mu$`ClkgLnQJEb-v0cmUkPId|a&Y|utq<^%s$I*=R<
ze>PGUc88}|DA^ywW)FMjT;VvWJq0BGxk-W9%n`QRHY0K$o?g?RvW3}er7n`|qw{O{
zX-hcw{ai1(KFr7aN6p~weUj`~;b1x*LnBySe?0UWoS4<fWeDF%qZW09spjc}wBW8E
zB~M9wul~l>?HcgAvH4yS-}6{6x~UBR)=JW|gabcHvM9pW*V;o*5J!0U?1%6A+}L0U
z7bUH3k%EgRUn!CKI=ZCeo_pYTcl2`9VAaL`&AZ^3tm`u*zBef&<+cNUXwPmX3)8f;
zP_x5(v=2Td^<HRogj^Wm-Mc$jNIjSl;SLIV*rW1~E<3C~Ds`C>_AIzlP3oyuQq8Qb
z*JJ*G;l)2%_$Gz6{UV&jEA2`T_pokw_XD08JEcqNxvn`~l$?Nt8T#Lm`O=$XGPj3e
z?Z%}iq&^GHvu8hh;qndc%>SQ{4S8_06V@>f)M>`{<Us1VkMPXvwW=2Qa}BjdJ$z@0
z{{QuA1^9gPD&gyAZ!i^OyY0JJ`Vv?%Az+d`A6UJ2c;vzn?6YT+VX6Rw)>m+_&a`|m
zO!K5y={bD7TQ4INKF_v5l?+Sq=x7DN^V&C@V`0A5R~2Nw{IO3N#Y4C+G5N169RKIo
z<p_9>^Is=YPvuLNlWZ8gacyA>nV)ynSWmtM-}<e2(;1%MDRSv1Ts?VsryVTNUDV|X
z`_M;5U4q-&#uGeXVf)+C)^Jklbp~gcJFoQxsh1x3F7xwcSlX*r%^Y4VI()<iHk+m^
zCeKs4U!I#Uz#}~Cr%uBHo42}|!}^7XJ{ZGh);fnw;bR6!pn`YB45b^w3#<-b4B=a>
zLRa<S3mj%%TJV}}>EJQae&d5V9oU<aI#mN!xZ)qK4rh48u^oml-OQuVgf;e0_8){l
z87C$v!*cch$7JDSQO&F>@OW|u^M9~(M^VlJSdf8wYB&6*nL3ule?JRZ<_W-dj<a&4
zzKi7FCB7Z7r`Xol^6-p|$v6j`|KIOpdtp)DkgCnF^M8A!W#FO5zk+GtfG6~=WPL}=
z>(D>{-sAZ;z@sJwhiI&nufe@p8-|5oo-EPFv+%$h_C_)IV{nqiG<<1n(T1!S@&0n4
z`8)jX^=h9WEZkiXJq(W@?YmC;M;9taFSo<0MqQQy@V{kyxi<K$Zr(pmSb;y5=^bpx
z`gDvJeitXyQvnBDat|cyS1#(6s~5o|j2D;5`jsyedRyPXsci=zF~NHGe8*nEJDzUw
zCG}{sE^%f*hv&+Nxk-P`U!(7LI4soa=|SS<AN>8wLt!^{?d=S(ZhGn?Z&-U|evQ1J
z&+bzeo^VBRWgMwj^D5l?z$I9h$tZxl-#ZQIjdt*iDnCCp{NhRNWlNYP=X(?l{K(Bu
z?i_qwH%prIFPSZ0GM#{fUkh_lVf!~v`yL%wB<)AxUu?H{aX0r6y!iG^0$K0Fy1~>-
z2_E3&JxJCA9eFb|_8%;I@k90sTq#waEe(%~-PQdGZ~yWw82@Zmc}%lkW)Z&fu*`rT
zHg$||pM{gc^(r`Fw}S^Y=Hc>-5_i~P%cj-u<FML8LrYrt@(;--GCv@nbwG3zTrn_Z
zHv&H#YkIg|hx?bb&zCV+b!XAJRd^)ifETH+qw{G%eg;l?bHeI7+<5#G#T2Y_dGm&T
z*uUn&<!><0(TJ-9aJJc5xgq$CjXHBDJpJeAvmSWeruJ4hT%Y;Fp$iWE<tae=`*-bb
z_q4#e+<&4!!P|}mCpW`w%<22d|4k_@<$IOG8e{jlT3|oMO0_chjFMUrsn;_>e<~**
zrkltSYk*r-E_&v|Y^jzFm2mgDwb67~>qeteHEi~VB|8;1dEwDp0@Ey{b0@*up7-mJ
z@d>|u?Z{JDR4#ZbA9k-lYw!rRHy=M+2=6-Uvm+Y5WAb2?#9yn-aux#NEn;fl@?dW1
zp0@$;=b&l7SMcReE~4HryY!(25|1@_pYZECys-5B9vNR*-%+q|foneOqbB34<|hs!
zSK#8+&g29*(TDb-Exdh+cY87%lB;~~BFz8bT^@-K3l;Q#I16tpq~7xcj-cg?HiH$)
zUe-K-m&FPxjNoe8QMre3$J3=o1DML=b_a>ivVMCcrv(enRA@%R7p@I#I0lE+ogF3P
zN3UKV$0M-X`3J@!utHd)tTNpCa_=IE*GjTDJd=Y3E?d~&f=_)bbC7|1cC6Bn@#*`0
z8;%OW$>O@RB>wHGV$8T3mQxrD^?)hp|9Wx5`L{Oz^MpARjn%nepVh=CE^y@T)f^T$
z&Z(U78obf<oEH=PNdIJp1MKWWIZg{3&p7OKf)!>i<!plQ9iS+`2&Zx|^Zu*F^|!{h
zkBqNtUigfy!uI(uKU%>1f9*c`8}>+gbHo~cn)rz47cBZtW6%WNwpBS~3Lfs#H!z1A
zd*2vNz};3ub0=XvyK|L8uu{^f)oEDMs6TiR_IT*JK@YYlkg#rrLmxSh8p3s7bHzWx
zebcJ}BwlbK*EFUM4$NBkqXTbR8?mZ^cRTq+sgu{w-EAo&+fAHlNW3Azm@lRTcDc3u
zTp12>Y^2VELm!W^tH2MCC7TVmh+i%s@#+*YdZjct-tM%p5<JxYocbj!Z`)r>;va&d
z1}+J3b#tY>EF3!jLopsMl~wDMfT`^gQlsGwwY!e(g(LM;T^_(Dk5fkXz#8K}2SQ;p
zJwIdee;)HQajC)Z_V5jh{P4s}?QJ*VK8H@b-EdCR%78Dt#%4sr4bQ%Ot>ppV;t}%X
zg`20&ZF7US?tR9-9X>tIa`Q55V(ApZ0Uy))pydGT4@~Z1f_K^Z7M+K!<#S_Mh^Lfp
zTEPu`;_`H`q3F+96ZmEFY&wY-nSaPHIs@NaxTs0uNfTn11odHw#NDNv;H4?)IbGP(
zEba_hKm6Ts(o_Rp*n9HB25eu@E)-OU%T71gE@8XI52yPFVQQlrePsU3aQ29qBCIv~
z!{aB+l=ruOKYW29acTkXnR;a=1qXNp2z`g;e%dwcfiJ!lk0J4~DRIpQg0R}-C$a-@
z`AM1$yzn~pku);DXOcPDumiTz$~xK&r!S_<vcZ3cbc;zmTkOh%4J`2Fz0y;k;I-b9
zj&$%@{ZkDjo^3}fO|c37xgthI;?HyWi;n9x7~l0&y4As-?55>b;fYToY~}EGxxD8K
zFn4e9Z8Bdu`z2NW2fUB{P8Eq4zn!_7G7jq;WciQ87kdU=okrmbKle5gFFwq4q<;Xe
zZCO=)4fF5Rc+n4c-mn-V^ToTavaxo+jlaJdzJTXGioa}yYvP_qkoa+h^*U<<oFmOg
z@&EX77Sli-oG9x1l*EtOFMc~-0pFZlV7d>#YF%M_3-jn0W|H`EbLvO`0(e2DW+#as
zZ<U_X%7f)7`O8WCcu)+bu3-9Y;d^hx!k*MRFX4z~l}jXk{H0)^I03#Qn)Zdncl$kQ
zZpFg|M>cwq__22P(2r>NQJnRRGyJ`jvGf5P$x|9a;>X(*r}l)wR}<OSF2NlK4a<Vy
zo3roaOyR|KX%RozFOoCeoV=db@z)JF#>`Q}2&SaawQz%z_f!<0hSLv)i@L&|XPHmy
z!M3VSj~w7ggR>3#@Ya=OF<aPy?jPk5_`~6^k1gOFo}+H6@VjC$>$C9Nr%|kmu&DrR
z>nWJ6uQTu<Tvu!zdlH_i+qFvuR#DTY(Sc8iTSm*l3Yp7sny{AcVv7)5?Kw(&1YY_i
zsUiYv=%}_If;l&P4DN)>6!#sLg9qQF>+gcgcPxIEhP@pRgt5R{+7m~_;0Fp9*V*7o
zV*>^en5pzt90RQKTKzgdte(@pg%PIj&Qs-spFLrJwFwT<PR(YA|CK86Y=#F1BGp-8
z@h|14myo}4D>^ur9v<G&->?GHtWw_C3>WHi+x&!cKCewsz;VU@^(??{#y9f+RpWVL
za@B1bmOSafzXV^Hx;;Kiytq2`8)jat4jhGlvo4>Rh4phjEt32asg9ewrs1hQTcf|i
zUru_h^~1&dyw^uy=aXCNd*QI<Q`^75asjJbYhX%!J%{hG;ZRIZ6>RBuYjZ!Gano<-
zD|q?V>2oBX<&?6>R4V+NK6tekKDc@5X$br`kF|!hf1{RVcZa<G&S6W^{@A^fAy#nm
zF2h)|e>0bOj4WWjgPw9^|5gLu(yG8g6<60M;KVOc?aHwBo`-Qm@N5i!5I@|Tt!p&}
zr@7D=@WHDW9sUi&%%A<JDd51xZ?)ujEsI@iU4MuE`0A<^*&l{XD)w>MCFxZmY5(y&
z)$j<cuwHqRe4i<^P~jGs|HSdMNjSpg;jbomC$-s8^8P!9*c9Ht@syRZWdB|miBadn
z-<dwjk^S4On4}dCe=B7OBi}D*YxVXx_zpk22>E{P$E<&Z!j3+j^yK(|Fbyvah8NTa
zQpxd&7ha;c3O~vDvP$+RGDf2L3Y^$B6hrcfLY(SeSi-7Q?%w46R(Ppg&cVvJJvh7J
zEr;W@PQV+SSO1dtTap;st_xEc{eAoyK7R6$xg2~sI%%4`pM26?VHue9)05zKI6hl)
zp|lF|L#nD+a(=!yekEKE-!ku9+lcddW-vM2AHH8n8MqzJQBpSch3B|O`M1JdwU6j6
z;c*+D5q5YbS*7bNypQd#Ke=8M73{M0;MbiutjYDY`xLjg4(v8^W&^ptA{34o9fE7m
zH4c&dr9;uHJC$Irwqze#c%hDOMI2V3q_o%q+gsp&yI_H??o}%IChs-rU2vE5O-CB|
zYsbO$o$x)EQ*{6Eed-EZ?K$D3#T8EqY~K|ARF)my|E!sP8QUxGOFv_T6ZIYM{DlVt
zshzgKw04ICf5A>!v3=BV=i#2{-|)GQ+E*!HmooPja(=y38Xa7&g!35=kHMF1YhNwG
zsT{ri18~gBIgTGNlY+etIbX!o)V|Na!gR8e<o7$YGI(MXUOri6LVlmV+Whe$c(aO8
zR3ltadD5sC=FjM*BKc>9D(d{*Fi&H0QVr~HIU3#yC!gKL@*eJrZx?KW?~G(=y@9V%
zT)$rfTgHl(6~X;3uA-H&-nZP}FJa9cypM|DprSn&)8Uk=JyQ8_VD+m6l3zET*%9{|
z<}K!8dIGbB%<NBv58aME77FhxOGr$FRi03mgu@I?wenBkU@_lc-Y~VQcS;nzZaHl2
z3+Fv=-W&mUhq5VLgpK?|-EPArJy+6gVVg5MU*3QR(+qetV7Jn7RyX*-rkCNz;K{)>
zHAgs;(tCq2e5%1a=K>scx&DeM+#tG7;}k4PlT<v1{KzM(?D@KI{e@wXpD^EJ)#J+W
zK9LxgLYUFuP@x?B!K-DM)R*g`%paG8?N+ZCk@{*Ks>Mco;8pX4+E`di^Y*L&yye5>
zI;oGw+kDq_2OOxw>O}HK_fcJ1*bYnHFiG`-dz(Eh8R5vCH#mG?&s)<HTVSz4-hyke
zz02QNYS`+vlAs4XtL|z;3Cnc#S2@A&f}UnhSKxVllADF(ubLMNcum4RJw=(9VUHG_
zw@+csjiFnE;De{re<Z?M9ZSxnz8kOghsPZ7=7trWQn*9p<%R9A@)^%bQV;Lz)I7&h
zIr`u4r&3A%y#vzyBfsH`X&2S=;qR@Q;)8H<0aFxdPvLfGxgU1_8MHSK-uon3xej)D
z#o${4vnM`dsDZ;&{dSP|r)H8L&4=4gUS4?vSLq+g%Z0~J3_c|F^v1L4cfNwtpXhDM
zfv+=i&7{J%)D_98aLt1e<0P2gOO)jmEX24hlmNS&c$`V<>%|q-K6nH#&#m*2dVDqC
zmn0sL_7k0_NdE5m&keDmuwuGg-9vc1M{;8ztmoz$cLUDYOXG9{?$!H9NAiJJb}qTt
zz+#n^LgFx;|AtLYu#u8;p$NQ|v!C`nyrg4VOY)=TT}0z9!H#>joLYlf@A<}Cz}vfL
zt=r*Gu8--A;Z2|A+B@LXs*$c!@R)zJQ!||0_)kp_UU=Cv&;r-*H(=3$li$gBy@xki
zIr^%@pINR=Ho#6}HQK7MPHfBVD)`16Ym_*=C+X_vdbsM7o24l1cdPLVskatuN#8j0
z7X5kC)(NsdDeiYy=iuN{f1Q3fBq+A?E4-?hAT|W6=W#zDfWI_Oz3+wtTlY-8hi^G9
zv3-S4nG_V&!hvUw<aEKh+{O3bz_Z!^-6ij*^-b3z9}d{yCH5H}UOu6a0vofKZ|;HV
z)@Ny+!J&1DDXs7YySbqU@P~WO0p$3+NsrFD2R~2G<s--E8tp^w5V+VdDuNuJ<qJn9
zgW$NHc2RPCvYl0GJm6Qk!L%e_{xrj%dv35=eBJYE_)N*4^~<nIb1Z8eEbN@s<N#0Y
z?#v?j_xE{nUYNt3^v>b$U|(hzS5sKMK24+qR$_J0)rMc$?x(4MHPjTjkHe$EcF&Mm
zaQL#LVz3JQFn$k9F&tg8`SfA<hnQJrHXLbAw{IV;+1nUe05^?&U6+J!G_U@@K0vzV
z(4{@Fh;7EhENuTv^Y(xs9A5uL`XwB!UCz249=x@W=`}nll{~}>OB_G<n$#mOZ%its
zf@vy~f>Ys^$?)Kf@bSqe!9=)y(Es4~GF<<xJHMvE_P*Zq!*I{Nquxod5~Hob2Y7g*
z=RIk^#Bh0M0~}GiYE9a|k<hovh1EXTXOaC$3bvBThI=VPv=ZRgo#GSsV5JOsYV!V5
zIogGH;nxa=Nu>QHoj6`Y*tlw*mDE3Iu(dj21TVM_x|hL}S<RGk@YDNUd&%!3bvQ)k
z0KC7yKI$Xf@z3lXJ$z|ro5&Z~Q8q7fGi?5%r<R;wACAy>{Vc`xczO>LIscfu98!M3
z#){&v$@xCK=|7eUxaY<}u1<JYQS8@Ixa#BKH{|?!XfIOI1!wje-TwrO7(c$#0Snwa
zCD{mvZHk|L44*cqdrCgPXGQ4kL)hlnMg?-dYIy2X`oRl*&jQHj+cb~1-GHkEAM=s@
z>lmixuz@Gfv)T2*ZBc2X=iwj*YHG57%@izHOO5f0z~isvdJ>;6i7<ryrEYtZ^WC+O
z-&PG)Tc<fg-cRoPCs`G;-TBwA5AZalJkx&IW7)ceTu)4w=Lhz}_djW0BKHI1v6Dso
z@LSf`N6Gi?i`X8-2Ui%}A13uC1`LIoY2ox}e=&0XXqx<r+XR<OpMOuTAIjSQC>l$!
z-dyv`ezJc*b9AMf;KqrKj|buPje+!U;gA2VxqOEQU&Ja^z@JTbcaeG%m)=OF6~gwP
zpQz2jz0zvE#qh@KHL0ZD#4kRpyma^&)9Zj$Skchs`)l}!LdO`XH^Iqv^KCp_mX`Hy
zGc3FwKAQkD8}|yaz~QxwrjOy4Zz@r2Fv}gTuvqvF)8!>@xcWQug-}?mNv542{$tMZ
zFdTOFv62&o=R1ZqoZuqI`e{<{ljq%lhci5tzjQ(gmhEeP8(oa&IX_PZsb5Mner5I%
z{O+wib11A=W8-cQFLebyje%*`mtQ)-2RQmRlIIgeo`20zSTwLifIROU6*v9XgiS12
zg2?mGnZ@YF4mcy{Fe|B_J62bp!2=)P_td=^rn+9!uvmoq@6$IAd*G{HqASaAe=)~j
zQm;7u$Dg!5c+)Y1j44>k+MxFf9I#Z#yZ}$+{tT{w>#K^Y*WhE(swGvh3AKRmCiItH
zy!x`14lk75a3uAq|J%7oG6QA|pJ>|#*U`Lieh7PT39<9QCR@jo9>W~&QC@<u(0i>B
ze|Sf4PNg{f?A+~bw_t^80YMq~TgmagXW@d&g(^qjPYLc87O>JU@t34O$48~br~=m=
z-+RUo{(jm~Sq+x3PAfBorOF*|O2EsM8Wh&B;j=rrQgBV`y9<|K<M);CuNUHaXIl(R
zflut2f8-7~ms|12!>I;|+{a-FR@T&4@D87mX$@F_)<g9f%;sp}%mwr8j%mn&kDf0%
z!U4BhFP=|>wI-jN{CtD{sppDM0jwXwB=!S-$Y98oLADP{X1#+A!yOVzVIQq5-%8lj
zzFZ*>PPi09`2dc{)~u+4k35(B90~vJeqciCPviw8PTRwEqpDYH;oJ)vZ*Acj%iyhV
z;SbLrb*R9}+#Ny<u;JblFAl?5lWgxQ;j5YS<07zw<SWX0c;-n<(H{7@`PkD6STD5X
z!e;n_j++)~FSsFGmIiL^%oru@Imh>T{3synnP&Eo_J1lEkIlk1BmC8*z0m#s-z{*>
zzk^Psz2A@ex@LGn&5@3LAO4z~SF_-rQ<`tccx6l44YdsT<{uaRcksKT$IOCYp|uH{
zkMQRXBZ)xR@5ffkI@r8vsOKVFS8yh?1>QHjntmQ0qr85MjAuG;zmSlF52(*Ibil9d
zJJ<h%uYRSyK*mG+Ux>fj4!`8iW$c2fm@j#=!SgKd)5+(J8e|Ip$;b7jE@ec<TeWI`
zmw&;$kCcCq&l?CAd(i<aR$h$lfrmB)xwpf=99(4DVB@8PqB6L(<hv_r|K;<hkP<kj
zVVbcOzQDvO`vk7%N-8GpC0rwDVqyNk=O;<~Tm6xm0dQw_<pa`w;2ATQKOAtQQj)aq
zETcEIhn;l`9m)PTjy)2$g>T--qb2*-kQ3~v4=4S)r9tYAoIA{~tOpAR-WVp||3fLA
zpFHf4D8f&U4{c_KzAStrinpu@*6544&j$~lOj#l0{r~nIJkJ9My?Pk^0e-xVn(1F2
zuHQ+fL!>>|ud1O{xaG-OH)(G_;ubytr?txZlh1#6T;*Ip>@&#AO^)x?iuHtAxFMg{
zgtT|O)8SkVy9-hNChZSTeyhJtwoe$Sk@&@*#*Wxq@Pl~CLGpcn`ftrS3$uqS{~+;?
z?5!*TX7K34ZJ}g5e6iY8@(`T&dW$rPpB(9S+@J)@vko?qct^!h&tXCMJoD^kG9J$~
zS!CG-OZJsMC+!WnObr>}<{K$PB%Wiw7$8Uo|4MiACh@D$gB*WXauI)6Pt+TP=S+?@
zFTr)uwv*)hw$b$`Pr$nq@4O}N*KM=y+8E4`q;rNGPkH|r$GhPrOEWR@`zrE|b9cfm
zO}usF_dAf}{<97~uErfh;xV#5RW&s*CujeDa(w>S>%|tp0vh$3$oVoAl;n^HF9ZfA
zk?S#XKtkm?eAnK>mHgg5ig(zOVSCmcjO2bHvdS`fAAX$qeTZD2TVk%2MZzIfPrS+X
zc~DewPcTgJX=S7u{yLnzd>ghk%JC!jtKvkv^S-cgB;6#r-*8;(l)V8f-m17&0KYIe
z&u|$Y^F4pM1fIXxGjIw1`DOc0a=*;Jop|g#ob}YoG#`HThKt(@KH$juhum-XP=32@
z0=u6vIhP5y=~@||fx{kcULp5u#(J@u6Y%j2E$dX+N-F!IE<9qkyp{mlb$C)}z@qW8
zHp#HX8LH1}u-@BYida}ito6`Am|J+qB@&<b&~TPn5pFN4rH+EHG>CcchlO>QFF%Bn
z0xER(!PoSXH%GvH+2O?^umNM6OC(HVSantqp0ndi^@U?vA2jg5J9IUfZ^D|z`=9K9
zonOwpx(>g!rlDbjrQR@aBk_)To7X+eu%KT-)>T+r*<Xzgb}RnO;RbJZ>zbg3y;C@J
zFTl5-W}jToLA;n!y3huuXtUh23Tp~}(mw~g2r1oPfbV9EmRQ18u0PNJgbfY{8X3d&
zf0|n+VWnSD<)(0T<<V=S@Y0o!zmCJEQ9@q_U~SEAGacBNX(G2DKDPhrq8j{@sgb7x
zJ}Tp3LE<e#vZmFoaENt!v@D!==dff0yfGwgT^^2=W~6uzYc(H^*$aE*{JvBHJMb!Q
z+z;otH5_^iyMAhYLgFz=0y${~u&QnywFKPMdtNUG&e=MvzztJ%pD0O#>9f8(<ArA%
z_lCcOJxZMpZHMuP2TKWX@NJWq9B>ltWPBXlw&>YU1FPTaqm6<+$IhwK!FkW$_uYfd
zv}Xq?U>}{5qakql#gCd)a8>Ek=|Gq!c<jb6^oK?YqEGw4jP+HczhQUHJ8ReBrsB>W
zBk<yb09zN>pXb%BF}VNNO~otlt9SeV|9=?|9DHBc!b19#cSwKC&p1T;Jj}7c^p^ZT
zM%=E@LNi$VWv^g69Gm?x!~|wfIak>TFTH&H+W_VY*e&w^{@#hS`V(;7{LAVZY=7zc
zdjB!_@rsT3d$>&Q-6joKxObwi9DWsC=d28W*pebe>Wx*~45=N2RnH1Gl6qv$PLo`c
z@D}ZeIP!lCIbmC7#bA3H23hid37#q}#=GIDs^X_49+vN^AT9t8&Bz?cf)$UeZDfTj
z#sla`JSeuxwSx&>_g#BV;xX2J*AH)o-&DqLA^qEY$1GMF_(%P=R1%MIpe~tM%*OT9
zs(GFKKSEFEV%cw4Lam&Y^p9EkH#``HV=2FWe*wo%AHDb;{x)Rb`xLfJ(rW96N2tDx
zCBh$@9zO4d<xlF~B=NcG*hJ3{aMw;F!+2POdO@cF*66FAA@Lty-sPeyc=XocQ;*<*
zXZm3kuuXQxj|g~J!OSWf)(VNKdI0PHD?=qM+~0OmnUVheo*VBHU%(3bS8Kvy8#7_o
z=kWTO{<DGb2#wU>6L??#(f1_&wm=b^8w)c?WLo;dZ{NPW6AJILzb1VPZvDe$77QQJ
z?QJ6Q!QC_h@BLw+y>c=nKDcTU8|w?(1je?I_~4e9WNHss_5M#e5+6*V+1Yaq&N_4Q
z6NwMHT@_Kg40}etRB(YCR$s9@z%2DN9d_`o0~Ir7uv2+r%4N8T;&_z_eAaSZ`668L
z$xz%7{=uh~O8!5gxZvBr6Y#eG5>+f<|NL3|WAIa+p>!))G&kUo2E3ZAsBQw&Z;NG<
zhlf_Pww;3$_2tH8;Pe@q>{IZ&0u@6^nC7e^hcWz@VMItAW~scFdjh6On7_9hb~3Hx
zGK9Y}#as}8-%4&PI1cx<zG&rwcm6)aqXX-j8$RcN3lH2cRD%apoIE$fXLP!Qj=_7k
z?$)J&udN9S9D!T*OBeskLj35sdWb5V!#N$c1`9ew?N)@19RDu<hF!nE3OfkbIF@|)
z1<ScF3(3GvbB(go@O>_ZyK?YFy1R6fa4PQ^5h<9jB=OoX%r<l3-ac4ohYZgEyj5?d
zb|-Ajqjjef?o`<*xeFdkn34Jf=UuyRMaHk@3p8<!@Yjf_MlycA$mTp*1%Gx)-~S8a
z;Y!MfMkO%gi|28_;g{RRQgYzT?-^7i9?+9$!juj(Nhdmx_=dEcTu}=AD3UL!7OrKz
zwCgE+lagUGi3dor>n1#c@2^#NWx~ex!E}+ZQ)HTQ4ous2dmtP(Zu;Is;z2eB)yHm=
z?IE>CUcv0g8|VFDLo<0dQvdQR552i3%y5`>;0atVvy<8l-u2C&B@F&!dg01t_~!H}
z&j|SU>NPb7nD0^;+im!&ep%LexGurW`wkq;@F~Cwp1d2m-48x-mvhbp?wm9Axe0qo
z=|4IJ8;Dlsl6tijRPh`2;J;acT&{4#M0uw+*}hVcPwJIg&Csi;!y2#LxG%$3rlq&5
z!g4k#Z%BPvD_(zpMc7N#lGheiKiVfE2PbYTH8>5wYm|tVg0tD3OGrK4$X^zA67ZD7
zlar)gsq>5c&w{XlsZN<8EHN>ix(gQn=5|U8_Gmo9#tqLY?kd-TdH48^bHdg#T4zZ8
z(k|H!Ll*c}@y`kk_(BG|FcbWAH>Zg*O#5HW`UcoN-$X<Wem=gneLWNFV?uqZ72$7R
zi__-dEuS;*ABMx*8GL5o+w864^00Y;)x-$w=W7|I01w<PdHW4c{m)-g8eTqiG3qmX
zIPBq?ESx$de6ST(JKDNW2$tfxnOYCK?lp`NhWXqlyzAh13YYiqgjI)B$ID@h6VtJz
zp7GMj?6NZWY7?~#7hFC=FI)h7Z}EM?4a<1lSj~mC|2~vugOgNxZC=53HuO)o!<`c+
zl+xg{@A>7o!ZU-JFO$gY&)rL4f_oE1y%XTqdtV%&g`d?1k3E7J7nqXh;Imi4BOk!g
z^RgYwsL#wi{^M^bOy3u$v<i2(d9((@@-!KpzhHHbFN!x|G43sg{=nH@_Dp`nCEVRJ
z@W6>yFAw<Xio5a;*wXLMZddsFy$4rGz3AJi7Lg9{wx#jjAvo&u@_Bps_m2hF9yn0!
zLaP<o9-!V&>QM_iQ>IwJpJ(*k+TpQ3PE5w|jaPABI^ekUqT-YAeBWzkQZL>zKtxan
z{#5bP<2~#+-@betjtE?4sel=m)i0>Rf1?yUNqzVjzuyOrz==)DY@|LsSD|gn0r&}x
zw^u2AdA40w23~5rnUxMxdT5nMz{>lJw`aibnrf^?;F*@v<4?%z(+;=r!#7V)=RAeo
zcGP?Dz~Ob1BjK=;mge_u@D0~(I+3sf2TL(4{J4i@EC^n7d$5}U7Rr;?4T1eOZ+b=z
z^FI~kc7_87Bet$*V13r(V*yv;E^qGeMOZy$zrG2)v+?!P94uF*Rb&S5uwHHa3YX`s
z&+x-yoTtu>lkFulxB1}F%e(_aWP8Q?lbhh?Y6q7IxQO=63?=;R_`&&M_`7aI>0~qV
z;STu)PQs?$UMI(4i$7<mzQa7{3<O$W)8NR*Q!u-Ta%mGR>f+2k0-OI}4bFqlKaYPk
z4fm}4<IjPWE`=G9{i(e(Y?KHWT4Ya<{r?|F_Z`pG_s0R;E|FxGkdT>3va)Bgl0C9l
zgQ)D4s1%8OQAqYoM94@+gk%&cD@sOWlo1)f*ZuwZe4Nkw+<VWx=iGbGJ?DHLb#}}>
zhMhW+U5WjnfBvL495%Civ9SQ3m%3wo1Af1m8$j&OaSIEc^RT6O`JUhKo<pj&&T#m4
zNi?xP+~Ev&b>YsBrQCnu(8zUeZJ0BntYZ!q3jJat3sZ6x*{;A7O|R#r;J25{z7qS>
zq<rrcC!CX;ew8S1%H}I3?C?B)$!}tR)@~^9lEXi?AKdy2*J<#)B7rkY@+pb^sa5-R
zcd`TZRUq`y8cd<p!}A0FO`W!n*q?v59xc9uZ*X6Fx(>I!3%uI~EAwQL5b>$BqQ7(D
zrk8gA5%Iec86vacjL!*-M7&~kpIH>#MW>ZZ#2>r)a`6uFd+S?#OR(US-)j%}^$C&c
ze{jklOEY)4rtKab5zk9cS+4_2aq?vl@gjDUW~X7!r+$Zs`1!m{zGHAjI#oFl?=O4v
z^-=iba5yy)KXjX)e>ahShWs%RziLfgzYG3*z>S@VmyE2xxA+dvCt{<;M0{sPI^R6}
zRQRmuGJK8Bbg2(M@U5zG1CDW)y7v)wrIk=2&PVj#8H;K-%rT~K6Ba0F|5FJ^v#AIX
z@m>LTmI<)t;{8`de7w2xQXD*K$|X<4dri$Z_`}KF_T5B0<Bl#1U-**qKYikSvi1cC
z*uZk3;@^q-B`IOiU<C_me6%Odr=Bw9eN|YJe0zBto*w<iuM7*X=6e1Ae2PRZ^TWv|
ztvg9kUk~m+AAJ}O_w$P&%0uWOy%jC&6%c)Z4CyT|XP2m9h4-4tM0r%+c+j}ej_*&N
z21m(}-t*nfat=QKo8cL8JaMyo1^eK)GJBONkS-WK+wcKqnjWYpj^|ll^!+N>^5c6$
zqP=LUbQP$Cby`igNZ`Xsf>t@Ox35a<PPn;}bU71V$z|C~?2k2TM&n&r<==89H5}yS
zXBh!MsW`Ys#E(U;G&;i<?k+?U@m`{xmX7epKLa#Gyrt)PL2a1+Vp=K@?{2KrcnVIr
zq0mN@=jO);O`I^b*>6iKq+cMrXvGeX%+gyC<;S6Re|5SI<Gm*@w=KdFe@m=qVZV&Y
zHllqg7^qpRg0K3TN)5w&nICOy;Y%Eqm7id?_j*S&;T<kV4|l;$FKyzpVT+yl*{yI5
z`A7RGIIfwWu>nqD7;cM(U1TNdYGJi#|IHw{^i-vAIjr0q?06kc|IqWP1is6-@8M;b
zRNP!GA1=DWvh4|vcZber!D(@Y;&!lg=<aim;W@UfM-DLS3ALS%;3T>e@6W=8lD%HB
zFh?D~gfTpq=B0ffZgZM@uLE=TP*vTAbybEW^kMTBW5+Pq?3a_P0{l#KrY8XA`mNig
z1iKoX3i5%sE`KBwgTM29`*|6reO!KC9Hy*FsCR?M?s$_6!AGi(9d(8`zZ+gS0;f66
zkUPQxs*Du8uy6crPb=8GedYomENiNvX+gv%=TmUPZROuzoQ1j11YP8UKitc`dj_WY
zPlj?I%yB^D?<v^cYv(04_#*Y5P7SzJxQUVh_HKT5QV~8Rd+!nxOwk^=S03)O*Px<>
zXA5g*Mc^`;_aEtD>FEcJ!o=@0!rXSk#>zd9+2QV;YqGmx>&oJ*Y%uxmqFxHPZJ1o|
z(^K5vdVD;H?Z*a_@b<#x+}yi}?Q6zM50u002lcWJzz1KbmXyKUeShQ`;jhKt{-(gP
z-RC`t_@hE=ok{SQc^VobzSDSDK_n3`w$RT4FYFY&eh2ohyYEQ{lRcHT^oMz0*((tF
zEhX9<^M%J=Zujqkw^JumJz#}kdj(?u_og#?xx+cLoBhQ8E3)yPv4LI5E3&BJ1IA{2
z=irsEdJ3fQ>9?bC#<0b)tSoX^ZXeqPLpbUBNriu{=x=cmR#$_Aia+lnL3-Tcr2{JP
z{3W-nRiy9fT8@x~FP<*nwGMxDm$Q+E6a7zREyA+#da{CWQA4}O3S8s%n4TYIv9;Va
z2bWav1s{Z;x5axbz*5=%MjY_y0Pn6T_+`dDQ9Ag9Y}BV&c(rYsk`{hZwa;T5rlJeg
zTQ0=?QuM!!8Mr29iuVs}zn??yJ4{OHd+I&hp8rU89&Qp?<a`I8U1IN@fYt7JMm50+
z?t-$@aHYy}c{A)Skef#AKW+7=i@9(VW2H1v9)^SZ@%gZhiS!eqyqp-5habQrRtI~C
z^MQYB+Yt}5@McO8=PQOxUOyO?Ub%3dIR91BxxUxougZ&E+_3NM+WPab#n(rqM1304
zJoxh>>|V_6O4PT~L#=PD;M4B?$EDz7_xa|mVV63)Bt^L1q@h(G=GLKhR)bG_9{6nl
z>$1mp5cU5aUtWg_-0v&;&;Z^ux4Ena?{2HzGKaTg0=rMZ21{D)*6;<&&NV4G=FMj@
z7nmeLp;rJ7t~1-X2rE}cZVJIIbkp|NV80V{{Rd#Re#@hNa0s~+DJLA4`|H0@ct+gb
zodveA$XE}9KX&IQ?t^V}B<!MKMfxRAYWQc~e@9}8bPK6u8u-sOfw)I-*9DWE6maRA
zkAIWl<2N53qk_F?U2U@9<>1oPtpYr+$I>_F!2IX`yd^>UdE;#1Vwgw%K*l1{RX1l>
z%HW}ortkj1^-5vqi1uDJ-ZOg~?yPtv&;VckoZmSC8~YpIZ-W(Ym*@4vk##pLI^jO=
z>7FkzBN=<cCzzCRvalUCXOfE=glC?y^mV`!{hxk+hux*AieJHkFQ;Ek!70~|eSQsB
z{kzG#2wz!cC@q0!@+0S$;qDok!BW`UP0(Zu{;j{eJQKb?edrK5?r&EXL`SmWy&?^_
zY2be4<;nzj*!$^Ode|kJaqJ=NDyv(y52k(JUVR6iFc1#sfRmfYzemDe@$Y{ghW!@r
zy$Xb*{Zq?@;HCJ?iC~yjL52M|OkS*jx&8S5x<EN81)tm2pZ0|1B?@(wVEvRdQA=1w
zp)yDl9=%pzb`JhWX)~@5JKs1gt_RPSlN1}l1ysV8XW-<`eCBho5$Qt-Ww_U0Vbl(m
zJ@)9FDjc9Pt#JX~+V@vd0-lQU*n1iFSz5A@gm3n;`})B8ZR#@oFw<;;N+7ItM!{YX
z&Ms5S4~L%?jCLM^ZFUFI-G+NeKCkk?WoLxF?!(vP>3f*q?I#Zu|AVO$$=6w6bqAH4
z6j-n4k@Ft7*UXdV3A~gZd4DfFka*}yE*#g)zCjIFH|qB1!)Kg!AEt$G25rfg!fIC@
z#Ztg!!~B^qVCJ!iYARTP=?nEM_~pQVajW_Gp5npX+W<E%h19OWJ$!w#?XdgUw!m+=
zfP48#2OQWwZLkE-8|6_E&u?yNj&-x}?pw_l`{5un-N`waRl@JXSGb6^$#4?(Ns5#D
z23MpO1Wv<hZ!}YX!d#jMrpMq>8yoUpFwbLBhH==JlIg-S+<4S2cnH?}B+#`=#2cQ?
z9f6;&4xb>w^QN~6$Mr6_OJZxA0=DDZ%Ikr-KfQ3?4F@HjV{V7ftJJ^S1M5o4D|Em&
zZG6P{!O<~^1#jRDlIw|Vu>6+S#}@eeBdINJnEL_e(@OZTuVO3lJe*zdx3>!3j`@33
z45k*2D=L6*pZxPz0@j^#{qz(z>MgR7htFn9A4q@)^rNEHV6k~BwTE!yC9P#0*rB8*
zA{16C+R1AKS6sjGJPbam*Ls(DUO&aunWG0E+)<|E26GKu?>Ymg$@!Ie!AE{jT^EP@
z=^`~k;5ORgJPFvX!>H&s98$JC%K_U+1r0{SYqkl@T=0yqmP#V5|Ei;z6b@|q+nWXp
zblA_4!#nS_p3H|YkzQ(9%0qvj4GrZpSfYA!ZUrvS8@gBlf4Kffd=yr&&VBR>rhgq|
z`3=4$96-_nJH(hhc?a`m@g02+|1lhV`ySR=-uRDrKcW&#rm2MAh}~%%g5UVENL0a%
zl=gx@;0&7@pA7gbd6&s7>?R_bmIXhzDtNU7f4un3CmuF?8g*+8=KOAumI$wgpZ`UQ
z_qB!Ht3DC1(-VaXDmd?`ecD~PXO*2}4?L#6<`V!f4UPX`g#YZZO$&kr%irj*!+!Y%
z-<{z$%6>l{_~>71+VgOeUDc>CyhaxK-5j=%x5*cSzpf9`SiuMOtJ2HBq`%d^>%cs(
z2S3Zh)N#o)`fwpzgQ5l;=)Lky5oV0k*{KaD)SseJfo+|SUp9oTX=U_;;Zr+ik}cq(
zfiQ0oSl_vq%mEf*o@5@##ry<+%QHc+(oo&6e%NopdHNd6pZh(z3XX3H_6vrMmfEgX
z!k@ElGI+!CcP%Q?;5|N<6o~kAX`Sd)IH%!qKM~Jerp@RH(_HF48U}aqX`Z|aUzYwD
z9|^CBWCmHmdi;hB58!vaiP_fhJ|8oIWcal7=SfXi^Kg}61}s?mX3uH(>fie60+{B*
zPlMxdjT70#bGWm!%kKoNSWBy04gWV1c7_ku%MWCF4Qqrs`U=1fArS#@;rX$p7&6%A
z`8T(Z@KD{`mlW_RhCjW7@RxPN`^!0aA1^zWG73An-gfx|@6tYa;xl|#h?_hOrePfl
z_znB=`VT&aKWx5Y`U%^`&~w~|bAtXUEW+-ySC_+KpPn!MQ*envwrvocMt<_-41B10
zw@d*1^&M;PH`tcKbI&EXpsFK@=r4(WF*bP~F8`f#{3{$6&1h&3TRvM)7=t-X?g-n$
zgO(pfzrgn#Y7@+09yRVb;&?8qNL@C8Ii1&piR0A?yEvc+?+j4A-v=k!xka9aX}IR<
z-@v;6vR71Ka%*v3qP&XMk8~-)^kbB->fo<$on>X<Vr_M<2Kd4l{Tp$(HmT|-(Ld97
z<gBPLJS_BEmpES>oTahc@ZhB*&m&;w-CG-M@D}GeCgOT1J2FU52eVw~%r}D@sHFp`
zU=3Y$T1$Ax?AFL;Hoj*|*<U8=htDPF(<|^lzR(XR;jAsQqF=DU&Daxc@Okcc`zGL-
zguI7DeVm-)%=`-5E6v)I!!>sw(tU>MeK(pZ;X}12>OaC&vi_??`_NfYCfoskOb)kL
zg-8Bc55I+3rMDs{U}v4NQ}u9RBiZ~E93}4mu?l{{FJ9FJ^H5MImckaFMcF^VHqWM5
zOW@;jQ!m=!yt1oddGNdaW2_zUB%juaESN=APpbxIzWF&V1(rXp{FG=P>GazClHlS!
zD{AHN+E?=*58#ig<GDotPt<Gux)_);I8mt>mbp15cn9YDdOh<wJZt}DFdUXH|Nj5>
z`u#KVGB23*Urtgs(&<0!jJgUxjx#>~80J2nx_S|A2oOtn0{^;{*L@ylzB7E3X#YQv
zD$3czim7F>k6@m&dd#-46PJxpENuNdVD=1rtZ#EZ9ySe*Yu1B1TXQ1r!L6CEQxstj
zX$idtu-nD2Uh;6_<AI4g@ClY(x<_HgR+Fd1{U>a{INuStHFaI>7W`Jra+4kA2zS~Q
z3D-qLeqw{&JE$^mz%8O``zc`Mn>*eS`K5P-{3eBGPi8xW!t(+dZNIbdez*EVfXL5-
zVj^P!rsfK52!e~hQ~8g<c?l)Ai2VB2&l-M(Ys9n;68&fVwpWC@VHtau@nCqdw1vDA
zrgh&8^oIRY#|P@*3l_Un0^o@w$}ehR>d%h{uE18--3QCz;5ZI>;(p9YF1}U@^WG}%
zy9D>THaZr<weCXFm*GhsL4|zy;-~6vXL#&Yb$&X`Ju7znJiJapA(;$w%?xhn!<`(D
z)8pVL{Mt5W;VZhNNAJOArgH)^F#C`6M>pZ;)h3ZA;qeVFz7SaYz;7es`NfX0E!GG2
z$~LUzg~{LRU-W`0$_Dh=;UU(wPi}C)1*uX_IB7Dx<RZ-XtM)Vt+~X|D?g;nyFclHc
zOSwAr%XV-<+e3AFSdHY8odx`Ga3+@lKC(f2(hQD0<*u{~mKcAQa|V8WyEcOs{`Ggl
zTnE;E^XlV2JkO=cK5SNlGexK*w_sO8*(WNn{APG3@%(qcZFbj5_)A=?*k5>rRlZIV
zu8eQAn}n+;{|Ji0ktQT>reSH03~~{;J0iep430ZwarrR3<o%-VJItTo$bAS_RLGqt
z`WqE@ghcO$vrGmIi04^~lx1aRm}IT>#v6Fhu%c);Tyk<{yam25N^)`staHTpSrKgM
z+?unUiSaZE0rVxX48MrP8hribhc5~6>d?lMMR-8#_sK`_o5}yUhv39uc`<cZkLyNs
zFC5RU|A2UZ3BFrL>H?pfYn@HP`@ZnHSiCzCKlt<RLwLE|e#;3CxyL{24Qpn$#Ja(K
z6<T+%!7sm5a1rrhWfF##@a6M+UJ&s?%qELwu*_1a>jgNL{r90$@cL=;4NrJ~`CiO<
zK>x!>qfeLNmU$a9d6=Fh?Ys}%SrfP-3rk#BQ1yZXJl{o&!@>_G`vc*fo<EL=!LKTB
zKKF;q(j}VtVdI__wHt6-ueQTs*u0kM;C1-Q_2hr-@S}z^rMF>*$>K+BFq7}&sGIQ1
z-6Y}+@V0C3!F%vT?%wV_@bb@t>v!P@Eqm7;aNJvidk<huR!=HQcqem;OAP$|cw_3u
zTf8q0x2`9`QYSj))?t&Cy?ya;cgMlLMcAc4#`Q5=Nh)}C9-fX4RY``mnF44g;hLja
zeHn0DU}*k0+%fXAI1M)2)vG)NJ6zbQng@I5^nd*VM;XMgX2MmXLG*2KW>&%7LRf+<
z<XH<`Ke*tS5C7ck(Wrx;vXTBRfp=2$jMu=Md+t4b3MZWRVJ?KjSmG65z|1+<%JSfk
zH@KII;q^tf@kE%yfcthOJm$!9BOW%Dcz&`BrcbOb4Tsg*^E#_x2Yku60f%kR=e>l(
zVyLJ6;Pav1PS(RW-AHcxzz42+EY!e50lAgV@aI~KuqIgheu}XpoO1Z5)NA-#nCdM<
zSVgL%y#;P~FUe~Fs~0n7zk&CJ+^szYZ#-R)>VWe${4F$KZQhXCx3Knm?#L7Hj-Q4h
zU9ffNUcuwA>2#9$d-!RZQ-ctEJo&;bQ9ptr3~U78Q_dwVAK-HCoYjM{7Da&h0Ia2O
zKb`~bJw!$K34S>$-9ig*-EK`AhTFxt9CyLK1G@tT;dNQB4N|!O$h+O&;r@E_r0o`b
zzc4p$9D$E0QoNgk$FA-&o`9qNO}Ng&)IB5LzrvSWejNJ<v&2MrPr~%IZ@aqT@#%ui
z9+)zZq$v=NjODu64qGKM9S(u>uPUt*<tbUR^~(unPkiN43m3N1oN<NaVt7@E^OaC%
zI%NZoOlB09!uKd`Pus%}76Kig5jI-#H-IJ6wtI45tG6pdhVbj+D^IgvA1*~NZTLyt
z%6{VdZflV1*M<MKPIW$nCHmWT$irh4o^r9Udsf4FMYup{f#p8jWJ^UR1%FEN3n%Jl
zq}7^(418-NOePGzE*<ip0Q~mN-rN9K-uBXp5WFcYWJR<W#jJCDY_O3|Z5z>^xLoXu
zV29^keha<`J8qq=qJgcC`OP}OT)`3t=-|XF3~%jVeLv4KO4#mTfrJH|!>`A@6OON(
znl^^7guYQ<ZASk|ZMdl(JZPDmy9PIy_t2h(bz*mao`OGAc>1fr9f>0{GcZGJ;4V41
z`Ns{i5Ad!FyuK3fD6_6(FPt<VBO(SL`cwX26I{zBpDX}7>HDuV!{Y^&XLw=PonQIN
zVQ~r9I(B$0=5a(NyuMJW$3moMi5R59M^-M^(!uE_KT6YJirWJ^JK@L_w}9I)>&~QV
z5;(z^bNCKyD^oG}Cj-x0nQZQ+ux9!#ty#D&y`jq-P9z&*dj)IdWqnI~gZdfO^7IX?
zKEfE93Kyjmu@u3~5@Nel;L^k&;o0!b@$!pmFwJ8VmM3tS`tosM_%vfecp@CabuC^5
zj;U|7iHCn5y)AMWcDzX5c@JikA-&HJR|=iTkA$zjV&Fdr^Y8Lu4To!1Zbuw~uMZae
z4uy9wCUWhEW9AoZ{oxztJ8v9-e||V3=L<Krv9K}1=?6RuJYZM58v)Gl8hz<acle3s
zea7AJK8}<2HgE-%`KP_`E6s5Eb8w-pgF7`WO4C+o40A;^bkV?Vnyj}CVHUG?7jk$>
z@!YaD{OTD`8zr3bj`FD{{HyfX+ENpqe-4~sQ-b3pZ(6Lv91C|9j>G-|DL>!9dpktB
zW#NAm`ga;($5Bgr33%U46N7x1(eclplkg*roeMeel0bcd6nrF$mMa0S@X?o3gu{|+
z>*C;z=eIkh;T;l<xBTH3c{H}f_U#=!5BtKmj(ug3gFggZGj@Rk{#fLx!jxl&mK@<r
z{%^vR;p$ADC@Z)_=p?fioGI5SWC6Fl+TEcBuO0nhp#=xZ1fJ7@-)#D?X~0xUXP8dG
za(%&qk}&V>ifny&=F8#M<M4(KSEw$0V1wUQ7=Cgilz}MUTM`{x0`O<XpTEw+j6IzR
zTrh>SMu-KhB=2#86VCjv$ifWfH@f<s8Me-)m?h31%hKLUjIeXpg}21{GrGx4K?9d}
z*P1!OyUd?w?1Y8i9FlN=(;UlXN#LmRDw8X)O7?f3e~lPVV8A9$TrZX)(|i8FkCbhj
zeBjeb0nZj-+Wgn4UT{@PsKylh_BM%F5F8}G_s0*oy4sp109LAI4H||STzW<B!ff#(
z)t})!m7~-Vuw(Rzv)%A%dWWR@a7b&-!h6`Gvc`+34;*rDBAVehS7)e*`odbE$=?Kr
zOsIT&0PlQw=5;lESTBJh19so7w^0t~o}d0o)W0zwv;T_VZKmCxxv)vd2k}Cfd&63X
zsIQ!k!|fUHxN?&F3-|$T>yA`-vS(7O6drWzeG(6!*~fgT0nQtHJ`@9M8dz(-hJ9bZ
zz7_%Ro^}7+0v~G;WV{8xUZ^M|+6#S7>B1n`m${?wBka>mHsuRTHtl)d19K!XT=#&F
z>N2T(f$z&+<#dN%w3u-8!#D1PRXD*BiYCuS;N^2;Mh@^$c;cNQScd=itOXo98_PBh
z7mMmfn!%NuJ<DUT+Er_wGw@lXx3{L@SH%?#x^TmWhWrmWF7wNx99(ozqLXO<bXmk=
zWa0IStNB0S=oV!Gad@!RQua4&>K5N33hz9U#Jm8HCgxi6!#|D$<*dRLSN?AB!hU{h
zRz&;iEx{qe1i#bh{k0Cqsb6}x7nTxZX!{E{4+T3=!w+UB&58E;@1b|3JKzd+2l@@9
zuhlLbTWLW5WT#j<Ino29Pj>%-Z>1EOZX=!lr7g*KnCbVGDJrD@JD;CA3Lj^G-b4Yj
z+tx~chQHf-8qvaZ8f1NaaOlZjyNLV4c&Y$pGd!=8oxBGYs=1We2wSCapQV9Q|33Km
z9Dd~g;Tr?2sNLsT4Bz@eUq=t0Oq-(4g||y<^!CA&`~rDdu)!W_N+$S@y#D7nxHNwt
z{s8=JJ<2;4{_bz4!wT0em*rfCmA?HR;)FG)=hcE?BY`V%Z18X^i<cW5Lpegm2rqPh
z{&X33FX0&>wx4k2r@IS$b^Ko~DQwSVCw>W*Yt(v3lux;!N4o>uczfQMxE}7-3L6ml
z?HkrU_7&DrmYjBkA8CG_tA}M~N-n#@F-)i1>)^nz6+4_^v$G=VH(<-_zZm`CT&^;%
z>+sCr&q5E_Nc&0cSy*7rZHd_bfKM_H&k*tTj#1t)qx!)K8Tk3n%Oyc@!{O!zqW#{*
z>u|~oww$0pCI*kjmF4@u5Bh6pkHQwJ*~-N6)_ydc;e>NvNK;&c*H)?CvcpQB`BN^!
zvBwQ1nc<o*7dDCG({-g`V1$FOn#DW89-qxZY2cx(gcYK^ayeMeQNyh-ZbaL_=8cXW
zr0^b=+Ic&eY9D{zb~?r<rsUi<hjkXcS^vToB7;+wuxH_pu0Jqm>eGGNaPOd{!Yr(G
zZqQE`R#6gS`w9QlY}~63t7V7W`393p&0f)jnb{1TM&a?qo?VJ?O<8{LXLzn+<)Si-
zZ`)D5u;uWpWHGoYrSe|~>?$<8Ar5nKCHA+&EAw^#3Bga)|7bM9TbI5pAAxng^m8}B
z@AIne@xnpJPduoCKNxq-@xfmGobHwIj~&l$al+QlLBqxH<apgA7o5s=sj3Lp*qsux
z4^|&}Cy)bcvE_}j!7UlDDYD?@mtnpPuxK*ZwG?=D`R*4c*h!q}$U~Utp#n7p%zDEw
zIR@4zSGqt2HyZi*M8n-w`^dKHas7Y!I&ll8$Y63HK{{LQcw;y`a$shC73mkebi{*T
z&dG0<>+oe)6S@HSY=7mSML5Cab<kD#$%g`?B{=%@*AtiFf2;=K-(mU~oop94Oj+T_
z4|qMsKGX>=N!SxK3|rCkES!V27gmSA!spm$J1pUWnzvs4aPB)xIU_h)z3|f)*#6(+
zC4Km%vL;m<%t*%IcnYpu<8^rlH*v`*X~3pJi(8Gblhw0g1=x$B-KH7dA2|>y2j8gr
zZ?zVF{_o5`3AnDu)$BFwEPJD099Ee>won1DeO=QKhSQ};4XWV$qhdUQaN@hxsS;R@
zI{(2Tm|ZPSs|^0;GVXp5j@C0DD}eodtVdX3sZ~yuBA96+wVD~`^ZouM3oaL86QYAR
z&t%Ew!gBdGRJ5?mDVGna@GtHmFADg)0nhPt_}p{8vt+Q<>+$x7Ft=@1!+IL}3;rex
zC&OM_e;)sZw}&j79>7N5uIyfftu*L(<Kf#eZ>Q&A+w_i_C^$S{(|i)1ll5o64?l28
zKk)+&q?LMc3l3z-VEP14^@Mvx!e6N<7C*w~`xJMF!JksXZ98CDwXbeBVVcJ?a_z7Z
z=|jpO_=Kz5(?;0z+;Qg+SjzWHL_NG7^K;W1e&}oU_a&^)5o+xR+dq8YTLIsEE4ktU
zlXM!W6~nCIttMCD`<rjMir}TJz_|;so2zb2HvA@*THg&;=~dTChiPTpgK<?UO(k@_
zd;|v=Est2khd&y`C&E($+1@5F>$@R}82AaFK))G$@XW7Qk??^>H>pm+V^0D_!r@>>
zGMCeE6ld~82t4CpnIHonYB_4+3zO~suyPX4rFkRn4ey-_j6M!OoHEOBhy5Go=1#y1
zA@?mW!1}{VoQL7s7Xt6>Vc#E5gZbf`RPDL8uqvMs%R#u(!;#e-Znm!RJ_PUjuxrT#
z)@8Ay+Yje@<~ZoX!XZuW2jI|e21>fHXORmPBOF~hSF8>{(`a^PhNq>TM5)5nGcH@S
z@C6n5jg#=%@_Oq%u-b>;pJiaa9=jDPm};`Zc=HLqkFq5GCALScI_0|!r%-L#a>LIW
zwoMn{CS8|9#Qys=9|`ykJ63hw5rx&YB`v<gf7*plOTaBF)<Hkusps*fa&Sr6@a!<W
zK=qnI5e^ijq#uP}y9fqo!ULazLq5a%7W4<T;GZnn83S-bd$sCW_|4y^&$3}zGN*BS
zIJ__=G7~oE_!D3O|C5r{x(O>}Zv1nARoCS&-G+zmU2(hw7auJVJP$uRp*rpbKRKJP
za}l;rt<?#JeUr`zTfwmhV`z!%{jQU`o;7@voaX=a;Tn0|D-(D>{X*|Oq+fe@Yt#%L
zb-O5^0N3z!=^MZgigX_n^)>5e!xcmL_{}y-qCTrpP=3>fH&^qVGU2@<D-?RLuh!wt
zLYO>7;+h6*K2Lh|8C)FAn|KO-Rvnx`v`-7a&QU4D8F6MSFJa#T9YIyN_j8|h15C1h
z{ozTtfBb1(6Kr$cy+$7XktxLA0UxP<EF=l9eA~L!30u<N)s=>a4g}4Af?bqe)QZ6y
z_w@9?z>XGAzKX+*O7APj;C%l#dcyGJk7U+y*xmY>rwDwT;lTA-c*?zV^f3JV=L8;f
zFkh!4olgiBEBR5f4cq@$70(U7t}Uh~!~MrtD|(O*UUhypM%>@1mL8uz2>;6UR%V82
zSgytJz~3dk7>N66-MxVA1F+=NlUD@b9(F@@E_msntf~y`Wq0<)J~*dsE8`?QQOCwX
z<aZ)0V8{qoETW5Ig$wKz<xJtOrI95Lc*CmNi+H}Oj(Y3B0w22))OQ6Atb5YI4x1OP
z&_%%m+kq#UVS~Rf-J{{L1Lv}c{W*6{ERT3TjiwT1WP+KO7k3oEGqkLMY%pV~i*gg(
zk~aL40lx1lkWM@g)9mf=CgN92SXC$C1flRBjBvKv=ZtB%z9UqRh&TOpYKRQa>%#Ys
zz9QnA>8a%?;ixVdEh0WwW^tGgR%88KNyMM|@437n++jS!MZ{AGa`>pgtQx`hiFl8y
zp-*bCscFsuB3_E4&es`^>=3$3#D5zP`s@mm=NbOl5C3!;-+KcNYVNQj;w>FAJ;ULx
z$jx@5y!#ICEPM>77+jRu3)7gl>`H@Al4oTQ<xO)=P^}6c@SxgD50kY_WY)mByEXlZ
z^8SzJ)Nn7%&yzYu2OAYo$oIpNg%buudEYta=)C}6brrAQ4ez1i`t%#_AG{$*l=pIH
z&>mX6UzaE~CDOtQU!*V7!4~ox!^HO9x*SqE2>ZH8=upFFat59pg3bHg9}xLTvo(2$
z!}%XlNvPnhDF1E=_;vn(#x7WI!aiLc7WW`4CxdnF?IS$}UzN4vB=Xbdx+ZG}v*ZOu
zk-|GR1(F<K_tnS6<gnYj6tYY3f?+wwMk?y(fS$cOeDBJ#0}0ZD$0d)4z?+XKKKw;G
zo519QP`LiE#=cEhk+sX=0Zg|~_trAJ>wZwvfAH7GZuzS)!>dK%$MB!v%d89V4VTA}
zPvDEYO3p38{$jVRN??_W{CBg&@Art+mco-YZF6(*&Vnr78u%I(^O}TD)@X;nf^Uv(
zX3W4W)+dZR;VO-v^y9F5=D>??_)rJ6!~|?ysL$~Q-a5FLJ_2j<{0<z1Zx@J8eS?|O
zhID7)g;qL~L6}=7sAvwR?G*7FhN&BVGZXz)dj@w*_Q6?CV!YPiMMrg!0oZdTKw}sB
zyBy_MlRv<M)cbO1VZMeFb-nQ3nR|3Ze;dzjvLo+d12KMgR#=%{@k$ST)Q(Y60FFx|
zA8muL4-}*d!9TMOk$1q}f`@h-hpTwTJl??CedW$4V3EbmxE9ze^+=aI>|y<q^flZS
zSa(zj{^Gl+*#wIPKHWY8>y>1d*TAvSayEvr;^ynmui)-CWp6EEHXb*P3b>G3nco_A
zm&=Z-hLyjI{&k0Kj+|aEg}JS2Og-UOf1NnW;h=5tdOvtaKV@VQ++9#}Fc9XOm+N^B
z7g`rCM8Ovldld@cfAZpI?i1<X=k1=tetHEj6X6$rH@dQ5Y1^awlHiNcDZg{zzdv)X
zXTWldLbgv}Zc%~JEO@o%Tuvt3{CxlOa`^GC?~Ez%gy19kmvD0GhGZ(-bBMvO9`+s#
z%u0ZbI-)-}!gkW}Zy&<J3OkkG!EO%pCt_iz12@v%6TeSU3W$f7FL`;6z{g_CrtZPb
zLBG03;nQyKXkuW2b1pK|Fy9#&zX;ekZRp_)?0?(!brgKAqx<{@JafGB$W7QoRjq9c
zK6L+w{%x2grta7d^fzY-YP<@8{bfXBso_#xtI<%{g`{9@FRc8jQr92m8e%nPf}I|J
zj|+yC`*#Z+COj`m>H~kC@Vmng`#jL$^@HgSEH8?}S3e}hdcyNo)&}BmTw-&-7o0C{
z%&iLlNTX4AhaK~3L)GEgMlM$m_?MRSPhI$EwOyYp{Btoy>kKRq6nVf6HqH2t%?{3x
ze-q&Z^9HZ_IlwU^p9@`Js(V+zU4(x|(eAf}nUg;%yTj?aCu|&HIlc~t5O{yHZHE=i
z;3{+_6lVH;m%$FU`@*gI08SEr7Ge%>>4jwc2lu}F(tHl~%kjCI4IB3@iJQPf`X4^z
z!tDcx{4C(R_u4aG!cs*N6KCPF3q0gC@C2vB5mPuZ`athH_(-+eBYimd$(7@s@ScZ{
zzZ$~X`4=d@!W<h<badd;bFUr7U~!F}2WQ|HBb5@r;ngeewok!(O=<pHf@KA_)OF!@
z5ppNu`$`VyLa91D^2O-Q4)}qjGCPr9Qo-9zE;y-+|Bf2G5xMUi4=gWZ*G1&F!nNn9
z1l*XUD5nflOIqKPgxg*xWoyFfyj?B&aLF4t1|>MvorCWzoYUJKpaK6#i?X>0zYlyk
zr2vO>4b-{8tN(<&i1=KKdfWRj2lx1xA}qL<u09r~>ao%$;`t?g*9u_Hq+KtG_{Brb
zW<{`~MC2jjc*G(_9<;y$X(G|`u+me%#a8&i;fhsNxYK-8=o>63q3b9I3zP`o9fudQ
zhTp5e%o#CFn=rG<dD)Y2g~%W`3BDI{n@YbW;w4{|y*UKi+$=v%#Mg&x@$kah36_tE
zcz!4AbMkPD^LuI{{-0G|ts-pd5O9?!ujN}*D`xO~-`H0fnDK?au_b&@?(-!g{*=tY
z)j+sJSnP`|Z2s8QBm~y^BJE6Uf2rd5-!!;U?Z$`y=Wh^XnhCec^?4H4Z)<Nlt17;S
zpI#UpCa&M8`gL#O`+f$Mb?JFH)%W7G5Bzo7h|?aXd(v{s9}eA{6+zS|<<a%fIM^lr
z{t{6?*yW7J;^B)06V^oiiEq5kRt$gXY-zWFhYZL3p2KH)4xey_pB`i=YlnFf*3+zE
z%ZUpN@8PGvCnt&R{q{ZaeHhLTdSPe@t6q&#8HE=$GLwk>$bOkH67wH66J4mxh~Kk4
zz48a9=`__Pj^{^!w<<BeWd9GwDkIoqxGjSU9=}aVLe$4chyT0E3V(O3x@Z8`RsZ;~
zA9lI+wA2{p`&pbx%y&4&YR0JtkCkqdiNK+8I!;7=jBacDC=VaonD0If4>q$NC*~({
z{P@92)W;7^W8}nqhP#ZRVZ`-X{71yW5LRAW`9;((Qc|mwOR(nKTjs>|D(js4&mCTO
z3QHsMtK{|Q2!a1w+eJ&9&yZJD!Z%>jg}dHb@bj4;j>LR}zuY^%5!cJds-tfn!~1SB
zdl2zs$u&-|2_Fj^B(4|nbc$wT{=o1^=6P-S#r}KF#Q6VWa`HYRe_4}H%|Bq5%@Ynp
z{Wf;8aM^+JCLfb-brSWP;Y(%<HQX`!&WhOoZ^1mS!f?{c?pC5c4GOxw6@d@kaWWyw
zE8Ka?l^9=tfb~%WaeQ^B#9IwuibqaIh<Gw_9ny>Nx#oL`M0|=?ysaDDe!`xN*uI)y
z(W6_iBT0xGv3<ps<-f%IJQo|w&&2Ur$kB>tz#OfYREhnssWXhtf>~b{-6hKVdK0aE
zIjsMqVwq?kEd9<lRKi>;YjQ+>LrydgTH)5?>$ybz6w}vVB*wE_9ZG&jv=<*Y3e7*l
ze>W2(rQj;oUoVOAKklZVgNXXnI+k;10=E16Zt6IEP;6pq3VvKiCngPVj6JDZgL`?_
zlf>XAhv9u2FoQ;Noj82pnrtXB9-Sv4R8Sbc!0$Cm1rL}td5FSu6{62sVJ5fqL4LU4
zu`4|>{ybv0%C;c<nZ3oA7{7I&_P_;hnDN9$KQVr*_geKmURYSvLP-Qpw~qeH4o~>r
zdm;+!7Ii2df>#E$Jd|Kg%ZCN~VHWd%E*1E?vQ*~*n6B}Q6#mLWY3IPEG!vZZu`^K@
zJ{pm1#R5kfxojK5=V{KprGw)o;;hYJ{m`|a^ssx}?-pBFa=zS{8vdDefX@N$KVslV
z1D6H|L|=qG=3nV;JVt+$#2XzCc=5f_l`XjN?%{G@_%S!-@CtnEs5%odzOKDBiDV7l
zPm&uL1~cx|xVQ+L_B9ROgr~d)qW{3dhxpWp@q_|{ypH2=nzacTF+a9y`o--Dc#XgM
zLNd&%xoFi7yYmeT5aZj=t^{8H0;gV5iOqxGr^YD8!<IZprik&Gu6l>q<6!@eS0Tjs
z%)3sJ;bO4ww)>f0_;poJt~gxl_VXn%Uj0`|Ud(0+?pL~b`oCb>v4OH}*jQQU<ud$M
zaKNJm9zP>PLxb_D!j^AztKeSUXBlL0c5gvc2JETLQb!GoUr0Nj2FKUlHYUce-&qgN
zy92vfw|ne_RhB|--iAM^O7A3rBQCeihroY?lbwnDUIce_1i?!YJGO}N@Nd`b)7{~W
z@2{)3;0ATi;7f3Nh2Ys0*u|9G@Ep9}-c9!pJ~Fyr%n~MLlFs=J--;-p(1CY;dv8yS
zpJmZ&8`FZh)5X{4;8XX^DrDg=0+khi;I#W8andlI^?tn>xWj3;t03(ABx=_JJe?({
z&JTB<o=u;G#TnZ6?}O*jZA6UkXNo3SWrp2d3YWjbDGwswQNgF!H=YyYbCtB;<x#*S
zFHE#XVZlkGpygz=*W3w|#C(DKLn&Cn6z!?lTncf1meiad4Z$zVL@J5=9;8-z55QL?
zZ|DueG|_U}@8D0~iMxpWTzMY~w84{?r_=jk^1!&B0=Sdw+x{{5VCv?xJXrUh==0Ao
zr%CazSor<MR{K{te2DkmeOP(qlsyr@M^$p<Jj@@TBSma~GVoQ63*0~TvvUC6Yet$W
z4)1fZwIRxDWv64a1bl*nr<EwrJ$okHSP0iIDr~}E=oDi1!LrMhxx{$q-6Nr$q;T6<
zQ9UgzZ}ee-9M=8MTaX!^j-P+CltlFRycpjPa~GVPT!B;df_1s!V-u%qCSj&W&vx>|
zb`Kv6Ps3kT{XIqDj?TE}12CiR<0BIAch3HgL-5Ac3-NMrj(&UYd-(Io>t~eVSb6I9
zE_ifAuSyHfa-Dlz51(~1y`~2nVSq#<>>tiQYy#(NnC`g+Q*FO&JrC=zpZFC92lS2F
z*uk=U!?(`CV<k!AZZMz!wINIR_IhobBOJxt9VQPSuIp1E=Kl}SblIJREd&4bIl)#}
z_EB@drv%@fz6^7(9G+x@k6Vq8Il~zO=b|?r;d|0=e-mOofdv`AOY89Fqx-*H;C)<n
zycKXh^SU@OKO!MpK;tE>?>m=#6Sg2r*q;v@@Q)bZg%f$rPZq)-D0}OO`4H}bFX>WX
zr7IP_iLm)eAF)(8wWDb42@yZYm6QM<IGv=B0rT37)I5Y`4nD{w#@jbf-#8o#Cw2r-
z6v5}k6*c4FtL)d@%Hf>ck&;NbWX+<z66Pv@^x+<?^~UgcJ)C>HBRd#Y*uC!;F&`lP
zSlHX^#P1CmOy0v2(JaUOV4K(TrCo6T=DV{2@PF5T9w6pN_^DgeUWJ+1n|%l1Enm73
zFPPe_e(W0@v%vY>nTY4OlspN0)^~nzg^%^QQY^qn7tYAp!6e%<cEtRO#_;WP4sh%-
zsrGevf5)nr5qy!cJ8T=C-$*}e0)J`foZW%-Cc>Ha)#||`ehFH;V3J)8!)M^#nen9z
z@G4h&i83ske&7--{IFF0gDR}5!QOWecAE~O6M_HB(w^aipUkm|iNbeU^o&H|2ChLe
zF4!=+bhiXN-*A<e8$Kjc=`9CeD`=qn^$`6>PCVN>@O5?#{&{#b?5L|T{5*!;;WIqv
zI~-&MCq7J9{sfbob}<>jt==M4d2l*Uy`nwbVDmOH2ln<V{A3R6jB)MpgC|;ONnMHf
z!meN5@T;iBL>qY5^hH5i*feM6DY5=XFdN@aYncCghpIKa8C<QZ2^*xOn>oR$tk=2K
zVevB|^ThtdX3|<8g-7#_QaHj+nZt5N2!Gs}YzeRLklw=qA5U{Nw1veq_Rg`v8mdY^
zO=0b+I6(?HO21@_*xsvqzB|d_!SmtqCUCb&$H4DI^na08>k|28$yQY@z-94~<7eUT
z88lI2Fz;k>3XvakGs(rT@cYH!<NC0GqEK%?Y+-Zvz5)Eno42eFru}Zprv;0P=(Bgi
zGQrk2i1kfO{q_F6gID~8_N&4Nu4cWjh5yM4^=QKXZ52MPhDl2PxG2I@%Kgk`@Nn;J
zlQKL%_I;@YUTb_|Ap=wYk$syEpHFzipa3g;(9d}S_ik9{pMV$B0`@$FFBG1pl!hbY
z<LBbxmAiB)#Py>lr4Z)>`!K}O5c#d8vcB+xf1UVvjo6+^mkh@hIJTp(o7msT^}Pz$
z;HMX6Wr*u3lvy<Q66_(?7_SE(rJ!nchefr>w~6xY;+9CVflckQD~R%4D5R>fgZ-8#
z4-)4yv6z+D0{*1=B7nF)cs8cgtl%`0)p2+D?9ZhlBbf1Xy^<%aw*IEm1iooUQQ!y5
zz3xuagvS@|*#*Oa=TjQA;OgZM?YH1Wp`<ujcu-OQMkLI9+3tlL%v2vg69-qc=SfZ{
zp#9ga87zYTou*)!g!i_bzmg57?&_ZGhx40m2o}H#*B<43gaZ!_m^^};-rU&J0o#AG
zE=`7`ZvL8UgY#N;Y7zMxF?=>{gas=jvf^RJ!YY<J*k|^053zm@ZE9Xf1-wCRC~_PA
z>vhoP1x#tV)<hi7LiV24r?5nh`@v9HJuWi00M7DYtnh`ENrLDz;h^cTy#eq)vaR_v
z*hGXs?+P3z*DZ7xPAjyoCd%tbow{}u9C5ymhgh%Yy1(d)aQIyE!4P79HtRBbZ^5G<
zL#CqOX{QMJ5I9_7MD;#=%I)8|P&jQ;p(qi4yEV|_2Q&I4?M#A6+jJ%a;MS~vo*6Km
zI{%q#FsXyl`z-j-heQu=*o3A+k|^&AX}2%#u+d+d2gPu5#L$`tta-rwUnQKY5b(|p
z-n>p<S_^OUPs}*LYzMC$Xofv~ijAz`_QZPcw{R5CelKhIb_wrj7d%C4TdWBy9$Q)b
z1kVdJc4@&co2@Lr!X@3ASA^l?St_l>`bn29^v(*xF}puokHSy?R`IaGH|WKgf4~<T
zE|KqpXMevb9D-;1xi8Vfv@$bPM1G$n&(Q3GjcOjZ6Z=;-y!#p%%yjhC;a0doDPeIc
z9`{R59SH~c&a98c80=JKdEW_E8xv(4hVMyVs3qFpu|LdVeXt<uHCCeiv0YoW{|I08
zSt}yyTZq=zckkd{x2>H-`y=AmQrHG}p1bkn6r2+mA5;zN^#&Ug>n-)qhM#*0|0ho}
zs|G)REBP=T4mmZrL9|az5yyO=z%PZ&<B0k`A3s<c0n_!;Wu1m6>&713f^|gi$g02{
zTVd}n!#jQUYZL8V>HYX3H`qcuW=sh#Cli}8fiEBXw@9>a_y6g%8o@Kc?h!=$#z|r)
z&kv9A_2&`$ca84YIYC%{@H}qtXuqG?lF+~<6MKVfV0JP-uHCQ=OWuSFJj-~=V&y-y
z*W{rqM0@e@lc4`!*y-7RTOT-f`LXsi%sryY90<pqF}*kg$B~Z&6W9Au_g8X5F!}8I
z@jLJ}yDL^BuxM1m<5;*Ls9mHBRuRcLn*j4t2k7>|e5X`vQ{j1@X3j>qEnVF+6TYYE
zsqhANmKq-@gePr__LRe6T3_y$!13(HqLuI`bHBBhu%AR2Ngiy$YxnFGED*uRRRFsd
zlkIDP_ur|E$RK|I#q$br{oF`3&&z_(ePtZ#hOO>i_KSz_*G<Lr!TD0VA0@&a3Q_CB
z@X8_P3lZ?~Plm<c;QcPo?%aj>d;ad5fqV4xECS$XTxIX);g?6`{exh`1aqmsa6hA<
zwmUram}+(d_Kc{y-~lT}KQpGpdSu}t<XPsh`;~`|v~Z7IRFfr~J*?8n1k-l1JITZ0
zC$*$F;rTyF;fiqcq17}#n4cndWiPx;$5bZ)pV`mE!UX$xyycgN8=Tzip2wkoa?GjP
z66U-ns8S5~2WOu#grDUc(Y^yy`5$Ajfi<qK3*UyNVlU>Iz}!15H+<l6S1v0e-iq<q
zuorxJ-Sqcam_|RQ$QhoE_?K-8|44F=c7*%?6O+@2)o-M(SizZT|Kbhc!0(~`7VsvY
z=n*a0Mg3c@HeCL;@~bW^HSs<|3l3?W@=}L&7mk?A!n?U_1y92-y18VfVZ-F;*UIp|
zu;5*SaCQFD6%Cjv(|?8!4tv5ytpHDLeyU-GTOGY>RbZcUgDK1~dtd5VS$No1(v1o}
zY4D9w5#HKX(W8I`<fv05;p+63TfZK_?>qB|@~kcxahZWz#eXZDfXVJyr1ioaHV?Gr
z;HiH>p&#Hd#nQ3k@Xto!iw5xGsBRBYeie(iboAj13RW&e`9FPCXe0<r#d{wn%D=vF
zpCmu5=N?i+ls`l6*6_Dj^rsDl4qt?qx9+?ih1ZXTUUh&o)y-`hVcus^{g>cm@jpuS
z@VAiLZjNxQ<Bz<T@J4q?i!)s29DcU~&g1a2vW6XO&s*feBwAK<M1F=D^m5toBE4Z2
zvHsrv3*=dkVX+zcO=A7MVlr!&M{v;$zn~7Rcfz<U7G_$ay`cx6r8{bJ2bQV$^yLV=
zhg7UC6u$GTOk5PE@a28x4wqhH@coYZP_(VY;sTTQed{Lf4|}}pYHVSnw6q7rdV9O$
zzVVpDm!vMtbi(G%{%vRB2}7=;a`>rF&M|Fxc>i}wqCIey-&T@^KMQQXxCWn+s{X7D
ztJ$bo5%=@LN3p>tVIA#h4s%#YNSQ?yo-Yz<CfZBB(-MD`;AV|Imc;#myJh75DLC%a
z88YH|Z6LebQv*(z7Jo>z?-skgsr88T98X2!dGF&>=NV#u>W>@sNfW={rV2BJ=Qv^l
zCE)`$D~<-R=HaUhN8x9WV>is;0=cJE!f;h>$cPCnT6bTc2OgbZ_O^!Kk+rOF!7rj0
zWh~&jYxlV6VL|_p9y^$GqM>a!ys%%{oG7oyxAhLq;(aQt|8)bgy~F!h{O4d}-_o19
z@FT7M>|yw9+KD-JczEZdEn+@8)w)DCQ67{7KL7Q@j-w~jCE&Vmzto4||9n-$#NlYs
z_CaF)`6U`HBOX|O;pjc$eUasxndBkj_b+$ybi)?*Lzj2Kr^HD_i2NGTR}FT;v_792
zJBfIgtC5Q_Xg}}ebrAE{<M$-F&BGmf0rtfEDLd(Z3Zt;ZTngg{`1NEX*9gon?3UjK
zlO9pJ^9kNiTqW&*-}7C&*b9sOZBA^0!wP?Y?10an)Lv+YuT%?Hw8LHQ`)<90GeQbE
zn_z{}ha<1y=NZ!^4KV3_$7{s<v`yZH^Hp%e(b0}7IO1!Ob|u_vR$x!8S5SRe>_svB
zo$pXh8NBA<n@|L6c1)isgv(a{ZDqqnt(N)3`#XiH)>tO&FwL!)4Qq3DYNfy&OfiYX
zeEY_^Yjh9c*%r2@1bB*T%R2_n<+^d;5lsHT)I1ulFI9gY12<57Yq$ju$mUVU!2@@c
zvch4bQx~2P{SlJ#9kfAk=hoZRC?eiGzQ-3n5qXLy5Z3iMEb9r^d!z*r>qD&Wj$ywH
zSIk@QCDw<SymaWM3!F_}dfpcfVvTiif+@D#w~79geU&`j=U^M9SEg6sc&~@0massD
z?=PZ1XUzD>0V8;UuTlLHEINK@R3F|Se!`Pj4<Jyq`qU|S2d`h-IaqaDR#*deqd8_{
z3~NXB#woz<UoKag!jtY6-g0oh9G|W}TzqnQL;?<!vCTGs_Z`39AP#r4GM^;+pR$$M
zg@oaQs;A?$;Rq##c|JJAv!qTI7N{CAJqYjU_{t&=KWy-l<$zh(W1kZJT{{9;Gnt9_
z>>3IwSUj=pCL>(paWUyA>>X<|M*~X>#Qqk8O&eCbsbS;GiV*^^ke))u`hD~#oDY%~
zfhlSy!~eo@M+7^0;m3NBzZT#TcV#}J|Bbg>rh5(^Et;v}gmW@Sq$lBLoZF0t;6CXG
z2Y$esUvl&J!RLI3X8Yhg^#*ee*kAi$*GIS{&}E(pzEdeL-2tESb<<>p)l;|F+TjTy
zhG9CGVbAH=YIx=;{XIsw;y7d1OPG47l$+?U-Zng!mJi3Wq<z=}->EnnmJ6R~RCL_|
zN73(p6$6|9A@?BiGZ<Wc5)FH>r%@8?t<c7Lsd&KLV=PWYy!)K(VRtw$;@LWpF6rVV
zb_y<_%6rZLKM%EM)PT!GWHooerMomax!}^nU7JLI=J{{Nq@1u*hh^MuIFruj108JB
zU!+3B>+wdH)57EHQlF_|qa6o1Dd7+51ERFBzt~Aqa#;L_eKWCs#FEkb^Z%kTzRsG2
zgV>+@v2!|W@V4LWQlh^#Y&Eoe5f<U*+C}uY$7tp~oQHL*vY!zB;iU6&q*E|YjLa(0
z-yU$*b^He`l!+c3*!|>|&Ip{7r!!9U=W;RFF%G~E$_9Ig{@}eX{{lY1@!kW@ME~{a
zfZW3!@I_w>equd|B4@4WH}Hj#q2NxKQHWl;4mLYstVn#H_+D6*Rsl<NbSG58dpMI%
zm%w_y%BHEXmZVNu9?Ygx@r?NX(Q9(*Tn6l=eDE@{KF~Ev(v~DxPWE04vA)9Gf4+tf
zU{yT_c2`)3Laz2MEaTU9^#UBxI-+$0CR2)QI|ax8eOl^I{QmJG7x6u*Y{6gY3cSQp
z>@5hN8#Bzm04L^9b_&D3w7OFEu*Sy<9%6lf=dZ-lEMSLt$^c@0fFEqeN6*5NUIpF6
z`cN2+n|K<YJio|KtPi#GK-^&!cw^&E&^uUMH!4~dw%~2+eGmVl*})+WcU>?RdJ6k)
z?YbodFTIHheFlg9_dkyAJ09rgj{|rKC6$aMD`aP@C>hC@2FVJQ>{({Y&We;>$W|H2
zDx{21$jnY9Nm5AmF68&R-=ELN-DlnB?mqYVeBPh?P)hQ`^db4jVqs~Hor&ylE92Mr
z`|!>9UO^`Kb&t;EHP~lxDta627~}n)JNzq<SDqR^=Nd+346m6fXZ;IDev5*OWd5)f
zTfRN>uo<6)nhb0ptraj1|98qK^)MWEFq!@b+#t|4w;QIY?(+Ns5Bm<BVuk-)rR!>k
zTjXk+NASM(7QMb)BTU=e%smEE=WK4Nh7XMVyWR-<Z9adX6rRrh*V+t=v8b#T!~IG3
zmdoIKgNc@Tuuep{CYf)psV<s63;xMsMVAim;+^(Pg(Kw+t;qbM`|~#n#KR4o!u(`@
zJi|xUQBiQwHD;d(xKS+7APi>YN_kA?7afkAcykl}^f>Szd7s^$E9P(mZhEU)Wd*-`
z^x)%lc*2)|mo4mlwz9$%KJIUsV*=m2Ex~6GzqeD`Xbzv7zBXY4YYvw0*M{|CC(fC|
zT`Q3Ry72iarM*TlqbYU%aaealWr!Xenb)&P6<#hHzoG;0-9wi^-rv(w+kH4q^2hW}
zDZ+l&ds5Y4w!ssu;_&^0`dgG>rts~~lJH1;M~57|smVQw3#P0)cjN#}lO;1t=1bh~
zmB1+lulZcQMdnj<8s!QRhQsdgePxFa6xv)7gf|Z8UnTQ_W}3|OaKTJ$+ndS!nv`o{
zsq8SltiwDNe20Z~%Pv?sljAg*50rD<ew+cWw^#qRj(CT@ldF2P@U5*&hbWM~D5iIW
z22RrCefJ0HQ*A%eH^RTznt4{?@VCk#>tT34(ZBGL#7i_h?w(nKul2_5AoE|wrzMro
z!P6aMvOnQJ6B4}RFy+6X$Pt)lDsjsg{6)HecK~kpm2~+IheoM*4Z`7J^m1QeC#UGl
z4%qs3Ud9L5_#gLb7rZGX(Y^}~Xtm?7fp^Xv{@4sxge`d2!8U^jAJoI#r;j`?hO=Mv
z(p1Aw<f_+7;7cqENiSfAKn3j>*egGs>M49KyCORd))yVSp9R}yiLH_OE|de(H>SZi
zH)QCLcoyTmyJF&C(~_;(dN9p_-n9t$ii-O`eVF$v_qCgF+P{$zQCRlN+*fb-TAjKA
znZM%TnObL8SfxAu?hbg6_CenjSg~zkbSJD5pXgu#OT`?NC-X&k><ajF5q7G(bC1j?
zVOsI{vM!u=tZJkkrdv+vQHPZu(<*eqT6v5&RpCP)gw{&orW@NQ6<}*eCmk~XLszN4
z{~<WYG5m1?oPR3#w-_v^@NO*$ULHS^C<q5f_P!$XIYcq3QF6me(e#W#@b~~tJPT~S
zi^bX;Zms8{pob$hPE=aL>5q5BZGpdpDATLJl^PNoHo|R-cGhHm2A};(PydGE{lkGv
z{Gzauwe6lcIO~J2w>W&YBXDRER(kD{#R(g^7ix^aGBFXWT=1{<-rYlRm%R`FPIzsI
zHlPpwe)XO=1MI=bZ`}(^vfZX9^D)TV8FqHU)>?_yWWI(w9SKRTF#WE8=oQ3YJ$Kyf
zR0S_H#>$iUtL1hHy;rc7RB+c4(#I#QtDnPL|AYwsg>8-FGKyg5828E<nC~c+M>_2I
z%*l2UJ~u3P=^;GYZ1iseKIQd9>Mr~^T_tB07BwE-9R<tDiz|-7H}Z7H{owL0%HL!@
z2>Rxv&Kt1H?{VK@xYzygP8*mpFWjH3@6n&o1xuJ#)rI*doJqrTKoeHYo7hd}kI0?y
z-J=1AHMHdo!Oq){)QG{uAwM>e<+W~PJr;rU1>VGycr=exf#F@Sx%qIyZ}_oGS_>nb
z5m+romOuAI-gV&)o@bhx1(Ef8ZLKq$gH5PpSjqCf!<kA|u*>En&hv1kmJ0tXxaQzy
zYLegB?UigC+<3&kkd$Xw!WGUKSYzsd>J)6n@K(YBuD)?-hLmsS?_lODa9-JR5GgOg
zmF5lsnDb6j&}N*URjJ$;d~m(4F6%ndQ&{4pmTx2ez`$b9cBFrm3}sn_J@c3gC}DPW
zukm5H|J_*w8dy2az3T`3<iUmsa=tmPS!eaYaXv!#sbE10`><~KQs;;LBtEb9-g%Qc
z_@muq51G&7*?Ak)8aP8C!R`;zuecgND~F$Hr&g2tbmFv2Tq!J+p{6?ruVmY8D1;+M
z)t)TC)sX?i1@P0CQ}X0|2u@rrPlMUpzmJgmRJ%RqK?-ch8RGp54%{BTH4e6%@$4k$
z2eWQY--FLraaxh{lQ)o2cN1otTcjI>mrr)(1i*)t;xh)|E!nj<uEJ@O#%IX+;#U7-
z;S7)eTl?Mz>#NVU*}{LSKFfTCk8cnyv4*#Ab${0b^Q7;+Z2*5|;l2JD?ujyUJO@ks
zsM^{Ehe%)SJp=!hiZFf;Z<5TYR);yg1?F2|>OJxI<YBw)(iAd(iSpS|4>|aYv!)b@
zmrRcRJ|qoWYSQ0ohU31-G)uyHaan9Nu%wmr0bw{J!`!J3{`o4LRS>SRU7~yiPrC$7
zvcNZ(EDB!3hMPv;Gs6_;7nDokwCi89H^c64&W@A(uar(kQo;7O2K=7G-&<7vtcBqI
zBOtiv1)Q7td|(B>T+e7%0Mi@i6_3M_r*#>N;b0fu#4-3M-N0iKAL{#y)u9h=(b}Q)
z6n=0hNw*iyii`W11#4c85^RR`VxLFk!Ys2abd7NN`6K(%;TS4PjY7D#w1JDPk7@e8
z^i$Y$<EfH|Fs+l9b3A;6vZyE<R;^++h=VyhB-9?j4EuU)onSvVnF+FfRSNz<7uYbh
z(tsQv#d_cC3-E`DCcO$+{6D_WMlef=_M2Mx0OybVGjOQdye&B&mlp&Z&cfgIZ}gD!
zm1s;Mc@oa>Xcp>*sb>E>bsDau(2FJY=f#_Gj-&AD<{|lS@Xnw6Wfb7+O^#1Ueblv#
za20^}sEA~d_I`ZoZMYEp=tVjGGF<d~&3XP7`nQ6)OIy&s3Z=M17vXKULz+qdZuItU
zQU`p={I3H$X@4Bq&%5BgdG|h(c-XfN{qKWer^jYIN8#{IJrg1Ds3uhex&C~P&+5>D
zKi;D5)rC7oZ~xLG%f~-eF@h<5SC++Lg`c4#Ht_GS9rRN0fZ1UkXZUDT+)GCInK<1e
zPuNY^v||@+&+&SDAbfpb<=Rp(&hN{M7sKGT;);kru;4EG#uzwSd%sg1EH=zcp9yzA
z@z<|`YmzTyCc`Crg@lXY95*BNhw#I~Tl9r+{nNB>@vzP>(H{?Cch#s{De!PfOiLQf
zv!R2H%*Q0oH+mo*et7qoBbl$Mv*yjF7<lYP<^5oI=+PegFt|%a=ywSG>uQ+p9oWUq
z($^23O88kB0Jqw|>mt|tr=CWce(>(So2|+577V}K;Q^2SXIt(KU&|}*cZCDF`@Ua>
zPv2%xvnR`Y$sBTk)g0o)F2mee4$Wjdus3?~zBxQ1QO`ljw>HSv*A$-ZT`4q%(<i@;
z8p1NMXQ<5JzkUB+>cO@q_%k?MSz^I`2A0#@<WJ^<vMl(sMIE+sKDg^NEZ1h@q5@Y&
z`PgW{?jQadD#O{51*_!zTO2j7Jp$kIpV3r<OU|a>Jp{)c)pS1uM+@v+6@z!a4r`Hx
z6Qy4aiNMmI%Zw%9`)7GI_+Z6|*&->J=Sus5eXy7Sry7|*O08WXl?`sD)lL+F&-|SX
z+5-pg^A;oZGbP=4iXMI;o9oXHvwvm!NCzvockd$Oo8;DDr7bYku75UUd=tL=m>@N5
zD$KXG8&=kM9{n!}&pRKSI?D<_%DU>Y3Qr$!`auuh<r)1x4^Q+($uPkeLi3tu;ibvv
zEwu0*4W0wP;qdwn&K>Z}x4+qb!L9~#MdW%X+-4Ru2<Mq>r6%p~rJkhy0DRSX|NrN!
za?N=1;Uj!HM}C4_|1Qe;RQ15~hmHKn^>5bCA-W#6I^rtu52n;U<xvOkQ;)77*E`J%
zN7PH;&s*-BlIwe@73YCsI6t{?fn4umYyF*);R|tzlcYcBmUcEsgl|4A448%+q~!m3
z!DT^)ZDf1%QgXu{aFD<iGqU{iYsL#Y@XE&Y4di;=CgIqx1viU7iy`BY-So??i#HKZ
zQ6P7X^e1%MH9wc($A(7+S>R%iXWZZ6WRb1CWWKL#j;n`%z~U!q{}Y7Ot5mPG!U{PR
zN6Gk<?d`_!b~sD6I$H*QMdxe$8rINj(;)rN<&1-FHSmx@cNwXFj9W5K7Q>9ZJ(o_x
zcZKy$OW^M0zGhOtk3KGy&VpT;I~>o!p88g&vte_}Pkoo*y%S{|39z+DwI3O8)9yDv
zm;`%9Hjb0_m(`oSISg*Id=%{ji)U)=jexf(<gdBII-aTL-Qe;QpXW(@|DJ3)7Z3Qw
z-4PSgA8dRP=Boqe)yJ;hg9WG9?(4ycUXN`^|CHD!aGeWwW46i8gC{E<h4a7$;(kme
zu&0gI0i!^a@3Uf?8JKfakmCYuJ?FnV3V)iT5IP7aL|uxVhd)Y=(@VoFrUF9aFy-^#
z&zaynp9RMSxZ>te3jWahy7p7qrU{s}o8{9=0ItVcPnPH4j;-u({=m1S?ZSS;T<y_!
z$6$dgY2wrHHsutrQMk0zsFuvH7v4^<(F+H^^|vD1%lF|s^bw9MkpDXbe`Woa+78F#
z=Ly5G@u%fmt+0zh;6OiIUhQC51vlD+1$>8XN+XqD!9sc}%%9<8iqpBzVNc!~>o4$w
zt<Et;@bf75m2Ox_ebh1?POG#^{RHbpGHX7Bo%30xI^gHQT`v=0I@-`ca{ngQOZD(R
zT<0mjyBVHfsild6chWquc?UoBT$v4rbC(TQYvC@6@(aOm&db*t^>8nKyLuBA7jPP^
zge_HG=6k~<%w1Bi;hefZah|X?wO{>9IJ3We-35Nb-@m&Y=C`N#<pgua-Oeq9@3qxw
z*}^AA@Y`niq&>ZyH5~gPEGick-`$gL40{-S8_b7w&v{<I0E-q&(U9v^n5*)D4xDW3
zcRmfCWlCz)f+>3hCgb3IFAK?2u-q#rMRGrSaDNT!2{`RBb9WT%n58!^3x`l9T_e}K
z-%%Akhv1s43N+zx<p+(&0x(xtVQw@mv|16x2g~|uE8d2kXSzO&`lCOjywOPRZzr#u
zo*09dXMY^XfMaG~R`tQH;j|yK;q!m?_w>U`(^rp^<M)#LBL4wq^$Ca}$A9(D8Qo9t
zu>S82uV5FEzppyr>g`KfRq*|Xm%F>*Zzd*H<a{{4r9avN7b)7(k@*^{X8g5VVKLfn
zuTJ<1^}dR?@FGL+J5pczenodSz>VjQA13w5a7y&ZYdGkZ>YcCf$nB)FHE`ka!bMVF
z#r>qp%3+g~LbYG;$IjIDSMYEr`|}z2N2!Et3GAcGN=4e=?ffm4WpIe_Og|-_H^>{_
zZ7qa(y2i!Ge3u7S*M^GWCsz%U$b6Wo@d4_2u!xG*I6d4cZs_q0J~%J<mIrQ(>KV+2
zU;Nt3%m-Us%-@j@ZwXwQJP5z{=XT44gHy&8W#Nzhf7749f?RbhC*fz8t+qXaQ;c8Q
zo`%(8x_B~Rcl~`Ibl_r#!=cG=Lp7toIhcl?zVrbc%09ks1=l`x<Vt{Bo_s!Q3ttI7
zp^*a5P8A7}?~N>erIy6P+>g>cy<wwy_wOWsL8qHeIPAyPaOy7HoNbm73D=!}<Q50N
zeRIU;0lZOlbRYt5tK8T22$pU<xR0!Fc*TnG6};!PQ)oCm%c5yf1>2Wtl}5upYkczU
z@bL{dx$eMrirXSO;V+M@G|2j{Z6C7w4&Tj>DhY=Fb8UF}1Gc^C`kmzexIZ;&0iMu~
zI~54udFeN}1aG|L<#r3sHqb98&-0Y0V+MTTLo~9qw6GHA=0$(lHY(kX5iWYbcF7aY
zv-NM>1xIPD-?;&w{b}%!AI`i-J9izvGIU^85YBU*-s=VDp4irM7}mNmf9oooba|NV
zC@g>9D)k!tQ&&5L{EuZN%97dv4tOBcOP-IWGM<!nfsMXxEYgR&Iuw)a;Ks8bDbB;;
zw|E;#er?aEeReSK7DfqcID{@x#2y}?4N|p*m(NedUxVGe9STh0_bjh}xxs1gwfZdK
zog4`@A+X;T>EoB+!gXuLQ25uy3_}w*u=Ks}J-EWp?~MUmUHhOT7MAcdo4g2DJ@R~#
z1xuP9I;RI$cB%Z$hGnTAU(ttuFBe)B!fgH5-fO}ES{^Tp;R@NGV_NXh>EV6kdAH|!
zf%Ylb!a3Kq3NEDQuvLd2h3pxuhfg#PcBsHcQhk!-e=Bs+XGT=vy)`FOJ7Eu*9h!=;
zZOoRbZn))zhvhN2IN9yO7nnlhK<i=n&VA{;uke?E)FC<e0!umzd4BJgySZ2d_70^l
z{|&F$**A&7OMU_T^RQ!HWBgutFlDG=8TMHadddw`ZaH^gBi;v8Xu92CfV114^iaVk
zdEUn`!7lk6$~$0<SVjvfxSYdchygw|bJ=q<Ea=>;$p&xtNjbUfhw;}PhMB#vjoFOx
zUzkbfwvixwmj7nMEF8nhT_6mvzWLBU4<9s+XC?n%>G*Ft?<cH#wW@-=&#1Cfs2zb5
z1!V-u|5xNUpSt@AW*ydSQh_g(+{^w9uhBIh)PQ6C8FzNW$MUs;$@gN@KQHk2z(tzx
zX7%Bdo|+49Vad&1_b$Ta*7s-|Nq){V8!X|E;+wC&hCO88owbHtyHDP(ftedmRFeO(
zaEF#om&0jW>$bbVLqGmdSHdj}$2>h@jxckF68ND{Su^=Ri&W&##4`BqN^yEP{AO8|
zqKM?bBRo(3$C4}7EcOEKp5<+Q0Q;Zc7gqpVWhHQs|H~b%eOyEGM=jr5EQbFpTo%fO
zy*sGYUcmRJYOfT+&n$hy+Tm+1H1D6lw3nv7bi!`CO@qn)(uFiA?ZW#m>GcD9$?<$I
z(3mFkXL~&eJy-{;*}T2T2J?5Bw6(x2)vDX}z)gEtSK48|r&2%3`?ZRixqBbsw!;N6
z0x*~Dxtw0u(TQgx`9I0h1<B)s@Xq}S&&c;;hZz$LhhUoTv>b=vDa~uMV{qC#pLfzQ
z6U+B46Y#{QDcPfNMr!p#QXkwnFOHJ=##IkwwvqZIu~qKPDR{foE$a=aZ{7xvoXGpY
znDuoZ3V3MS&i=FTezhUytuRNZOV}CMF5K+=PWVY`NvAa&>!C5X8#d9U_qT+terZ$*
z!wa(|XUTl`$1GI&_Q9%b<`0YE^i{<;Q8-BCVs$@!@EQLaAI$2obtn0Lhgl^>pR}(R
zq6u#{;(cv~(X}dm*dR=effBy$w#Fh34^ej2^1+`M>wN{_BtJhU^1fbcoi2YrZ1+HA
zLKY5I>}2GHA1Teqlm8Qpd9fW6gsD%LFss8e-tQlC!PRso)@NYR;~rH!@Y?B`Zt{Ig
zfs`m88~jVwj@J;Te%c|&0nbdliz45*tc3YK+6C|2<T7XuU#aFUBjqt7(W61)B|1V|
z_LB0Fb#O~{fOTE393uU}2d2KQZZMBHeF`aGZBNe&9&mB%v*K-VO~Tg(fB59lNxwCm
zujy}$w!tv7`R)7bu*)@%o(Q;UxYS}Aer)mZI*A{tiPiKX{ehgrmZ2m#Qq1`TsV^2(
z`))pf(=0a`lm1}K&Cuy=*pG3y$Oo9QHa?ofw<L6BD3ku6?ghm^@_ovFhqNa-@CJ|f
z-$*>pwKcZadGNEY;~MYa6YA0YnXp3f)08%NacuX_blAX1QL-L>aj)^ZCj9x@=L`~`
zq`A}8L<0`0za;w+=Hx$bA^?l4S~QXGQEIO2KE(&O@DE)i->Xc`iu&w;rT8>824Szq
zi&ooUj)>-OBwk6Ulqzw-7ynP?rtc){Z~5FCI0v^g+_oU=FS$PW;tMP+m!ta?=Gy$`
z!Do2vIp-*eSK@AFIPwZ!G@=(I%fDRQz*`PWS@>6cfZNyS&ZWafht+fYVe7;RrH8OY
zW2pjJK6vfmHdXj|hVLr*UM60Kndbzo`IFQ351e!QxvnH^XDM&60r6d<{b6>}F#Ya<
zx-D>x?amZ-Sb*_sF&#{+J6OaC+a3(yVu4Ez3;EK)Y){`-v%~s13o-QY2Gz?Ve6U8A
zxG4o(X!)>32tJ&$be$5Gb3P#}1y9}I(Z6~F_ZL-PZ;|g~qK@~>{)2BT2hSgc9i*13
zrr-_wPwtWUHwBBb_cQPhP3;XN-dW4G^}%;oV5?0UiKkQG4t?<h&Ua(jM&hxrb49ZE
z!&A}m7f3uFMfho{0a(QSc%v!Yd{gaTJ3P#<YE8ax(05yB?1Jn3XS*HX0mmheX80hp
z<393z!y0oz<U6?a7h4pG*RNW8uuuobWyTJW_<k$HbF>ZcuNh@^62HvFCGqhk962QN
zI|R<$I5=Jg2W0f=llbMt!3OOj*x>W&$K-p26gM}U=P)(X3S%-{_Mc%}9xUW+V@~3k
zrK2|gD1h(nW9i6(@9<SWO@o{De>sqN=E?<|w-4d>Hxm2E|AXgVDeO;#f9U-aegQ`w
z8&OJzpDsMTUj_FszRZe&SLSw(ye1Ymeia7?Y^&92g1zs}-?|0Q26)Z3!gSjAQ*Oh%
zcZwT-fG=#gxG4aZ4hb&!1pjw+jpZiH5^;oW5N>Jo{NV~yFAtQF_)D=jyZ>H?!(3wd
zCt(Yl4r537yv5M9X?VvjOgsWV)KB=n46Eeq?X!jBoqkBJz>>7()0g42FNvw-f6I<y
zyIx&{g+m17x4?x=xt*8bHk*MbJK>T?+A{j^`4z4|46v~Lh`J&CMz`0J4W8E$W;q2L
z&1q9|!RgNBqUx~mn{Cd5@RsDM<)d&ur3alTJgDTgLlM?cJK#;?bM3n5TxH;#Ov@G-
z_|pEw+lOIVQ*K!$m`&}at}x7U-}8eC%+4ooCj#$kkU37`kuRN7Kga=RJ`5Zr@yi#>
zT2JkT<y4i=koed`waTi0d~o~?Z+b1^CXN>uR$%G(H&q?rEP+)1aX9pE>JJy#q{&BX
z8vg7dP!$N<C5^rqg)h97*d7cQ&>OrPgH?_$ctpTnot2V9aACnpBl*8}(#n3dpRjf6
z>w^g}|C6vhe0lb|Ql{=^63lVy&zk{Q_QCC$bl8MPPv8^mW^zX<3*P_y_0i8H|FN_A
z1u&2N?nhnlcfm8O&*1U^|CjIKnE)nR^8fI^VLSnE;a$zto2y_3{gC?&@XPqNtM#zn
zr>@m%xL~=arV$o7C&N$!vnYj%cfw3>z1_;;se11l-EijOK-epo|JHxM`{0~+m-O@D
zo7?x^{szYdR9<-spH=>~FbY@Ni^)8I&90Q(n}FvYhp0b-U+?nYun5QRsVGc@*{#hq
zmtp74ObyAf%5AY%8}L8)p6^$p!{LyO5ko4tU-wN`BuSSmsoxH3{<qE958nRQ#DW2K
zmAe=m0P9mpbdvwq7e4j+?Flb(ZRFyBO%0nj_`o|dJHq(j{=;j{_He1Lt*|g0X|49n
z5jN5|a$gGGWOOCR1itX#?ExA1@s6TuGdOa4{6j_9AgGG>0(@Z3VEPzrKSpuH2tM4q
z-{=%v+D=D#2Ciq%_<IJ<EY;j|7S?xjx7LRb3!J@ig5>WJe_;rR)JEJp1t(`y?lXgL
z#RnS6!FRsczP5tzmR7pR!!Eo^qK@z)XVJ%lu+QHKFK77N?AW*re59go)B|Qw{j4Pc
ze|hOB;|<rpqqmlVugs`s+=RbxUu_YFGnl4kgW*0ksX-B#rlH<A60UpmH-`iE2-?1O
z4?g89@_H|9l{ajg4Cm}j)Y%A2u%61uggF?lDXe?rc`K#8ObXmTc_w`cR@GbyN`u!a
z#3L5q<#P5t_u)j5t#cFb<bf>f1lUq%s{c34##8?{3jWsAqWl9s)N<-1*?tpe)TXcS
z-G~edPdN9OtIY@arX!CQIX=t1Izk=r;Vjp!=5Y3;LPR6XRQ=n)5^mL%)vSS~Z4WW1
z!wwz$pO?eb<yj`={4@%lGAV-hNv`LKz|MXr-sZrzRn{wFuvT;S#Rss&ueYBm;ds%K
zH}SCDOFp5^@ZTW`hbUO%xB0c7sLy=+PIQOBVv7~EBe0BWO-ulMPyM@h8=NFL_{S42
zi<EBZfGzBlJFdgV2`6T%VVf??gO0HI&KSiS_@GNNmp$yzliWqxx7E_Vk~46+(*xRC
zSTx~V(^)tzA<4Z3j*s~(b`q8v>8@{u<$jeMKMj8gX_x*02Xr-OABQ_uDFZ&iE4?=>
z|APf~Z=53SnYA#6M*;RKl$IZYrM7HQSB6V<MRw1_PAPPSN8r(&MwX;KZ=Gm-dlYU@
zFzosV(>t{YAB6S2Z*grz`CN4gRFr{dd~Sx*z`@SmG=gw&`3IpL@b5)&PGR`8L{A(u
zJnO<A$OE6f^XCT(%#i!(J}=zjzO2O!cQG}uvcsHz_B_}JKVJ8w-wUgm?AcDvAG^Nw
z_1*AKYS|0q{5_gy4&4Jc4$Cwig5MtgH$@NU7wa$|Cd<FNxQ7|u{#|GKB%D+&cVh=!
z)M2kc>dSn_*xjA*fxQm7x^PHr-O?7A<3P}#b8w)j%QjkAcO}Tm7%rk!bKV4dA4+^~
z3R?v}Oxz47N+(CSz{mDFtgn0Fc~w-w7gt#PO_Lxc(gQu7y$FKSStG(%k<PUInlc1#
z93FeI0qIPwHDBZ5`n4>!KS<ZJ?-WUb+2<+$TZ1*lx~cQvsK(MK3$Wt!fNlYNHN;Gl
z8p~fa`}}GK9{cmR_#e{Og@13Iho28Q_fsHUD1G<`We3LB3>3;MNWUJwAhj7b<@dZy
z_V?Ay^fnfFHv>h-68wB^?K~?yUS0Wv?9Z{0l?EQTCtm5~ENrxgnwbyg`t#Rl9)9UX
z87K<hOm_(FhuJCV><_>n^|&7lz^6XYeLf18HT1iw!CaF|lXfs~oOakrxaK?U#jEhP
zoswlzFhxD%f1Yr(cxvkb_^_~WQ2^Xh%oE24*M?oyxCJ-phUN&s`z%AtBjHPv8?Um!
zqBaeBG4Si1R<~H;(&yi5lHq67ZJM;Om;v3Thp?r&n8kK@fJM0F2`u}fIBL-o{ei-V
z;%9JT4sGT#Y~e7+RR*8De!X)LKD^0~<~4k%qW<R)JoYH<dLyi17}a(krr`VRJpk`p
zF)ojV8J<6*`v}je`w!oMDPKKa>WAgbFLrsuMISux^uQ`Q*Z*0<zP9QvUtr3w7st%u
zPju{5@8OesFBj>;%jtL1KEYKJhN;@HPN%U{2RwS&l;Sje*Eq(vi{#hPn>+!F(U~wb
z!z`?qw2#3a?;?%g!6rNO6%^qM{|skq;SWNlk7VGIv73tZ@CHfah=Xu{szz5Oyf4Xa
zRun!_eswQ7e&G`PulwQZ=_5riNqz@UWnTEG+{JZLUf&V}#CTwedG5P~@RdhVcUj>$
zdxe2wxPMc=9W#8&w4O2@{(YyqZ3o=AqhBi%Ug`OjwG|enFm)s6Gvdnz+D&lkkaJxe
z%tn8B=${9kcYm1q6$Br+udB8Mi;b@y3W5K`y{4UkzcC$}a)9+)ha7*w{N_iFI>UWq
ziCly5$N~Oany@%U)6HIZ^)=6XEjUiu=5I61G{^gq8E$!(bEy_?X<_Ew1K(9@qpN`b
z>Hlz8LVF9!Wpgct8ywmy{=iLZwtTrTJ{q9@1lyggxt$J+9d*(946ku`nWe!2bFJ=8
zFzc_6_4nas@0_<Su=lwm#j$W%!a0Ll_@-0*?g-dOTP*V}Y@ua4eH-rB5!n13o*Zk@
z4S>5>ba%gm%`P1|<_Dk050*)P@l7=~(;cpP*}V7+_J2oz_d1O4F>hzXjf1-5C*TP7
zF})XXq-@*zDfrx%6SY<FTBk>&9Q-Bf$wjh16i+7m<YB%#nr5=U6c@rW#NgH4M&=#x
z!J^fd5^zmbRR=l#H<6t`_P|494_^$x`iG7zv%$<8sCh?W@tApDD)?JM6U`J%b4O2h
zGwjJB;YP}LYwS7EL3cb4Tm7^^f%4yXkBW5wuD@#^@)zmq5hFXwVE?>AYHFk}nr5%O
zfTMbq64sFZg{#~6DV$`M{c|0zrcO}Lhg}&Cxs&xvC{Hn^!V&pPJ6B=5YvGd#a7W_y
zL%-qAJg>Cx!gNJe0Tb|P#c0JSSa)oS=_jmq^i6sQyegq$Is(7)bo03hf9KT+{s8Y=
z&K>lI`5!#&BITja;Z)%cv&7~tHNc{5Pxd;)8~<B4-VD1-L~nD1MK*eTcmx0TX>qcK
z!@s@ase?Q6AD=RZb-%n;D~3zGh6^shmec?4mB4CopOXw>N(o>7e7L8Wb%Qp1?`o;b
zQ`r0)<Af&6dPs)qG5oAIrbG$$R83CFg}0xKd!ztMM6*bw!(q-5(p>QNnr9~DdQ_v}
zr^*9sn#s12`u8+vYzHHpZ|`VT1|L}Z$h`|@_h0TN`@iOWV2ldx6y~{74_BYySlbL+
z7v}Z0!7R7`Gu;56dHss76JDhhb)|rHtJUuH!cl(CN9Wwo-)mjk{}qn&($!pmwQ9%W
zhvDg+p}U9SlXG(t<b2VD+6s@tsh|8)=U~q68xh~&h#dd11z3LV!o%;d&X%19|6m2_
zD^z_j*ZQ`M4X8h6+fT6c!-hRc^fa)Vq>gtF{BJteh!(zFAsYD+exk_N!U&J9$>=x2
zbz^kq<a#<qy~C~<zMuD?g9{Ge+ul|KQyh(E-v`HP9I1E>`}wXHkn3&V$-{w#u$Dl#
z>Rwp1#KGw)d}L0cm-Iis?mE1G3_qgf;UoP|ox{(9bl5>)@#Ge`vh^23GD&ysj@=3u
zMmkK~hmYP(FDL!cn4_Ck6s*kTMNR5=_wKDCVeoTlwf&^LG(C1l-GuLrvAB`?O}n|&
z&JX@UJDBtZZvEBN<_<qu${Qi&f7r<Vi7PzJ>b#AdzvFKrw%fz8axw;_{VTAZ9<_lR
zOqRT>;h1$xbyL{(#mh!gAI!w!nJ&NsqMg2^|Dmrhch`Z(D(|%9z?!*nI+}3V_hZuu
zuzFqPOEtLR@q%13{3zn_-Q)1%wrrD7cv`S~Q4X%h|4qYTxt(Wz9EOcj3lzxstBNu!
zPZ*|VU+cLIw}=TP3c`k-+BW{MrGtLO@9S8<)bBcSe^OIX-Z}yMWv57y?eXlJi2VwG
zb4qJ^0QXLw&i)458S2P9frFi$oH}8#YPB}f-fmSi2Xw>!tZQ<lKlL&kJXHrrbNuKk
zhfBC+jOyW{--$}3KTUEt`lbqQ&7uh-{rjQesP5OW%EaqGt#F4|WKtm<^C2dx3%>0<
zkY5ach}8H;t|y1fKhfvGo2!aW_QS`G1$YbK2UC|{lKzRw?4Ra+xWe*Q!Z`dv=RdOq
zIEwQ4X3`#(j<5>ff#>QbQ%HSD&$)Os437MeOH2COi-xXC=iro;yQ~cG@#80c>caH&
z?RlhqT;JQZQvv3`WFD~-KJ##%M+yESBfLu5L!m}}uq-UHpsU6P4@7RwJqjP(J;Wmd
ze_!t2aS%Q{N9!O4uNv-=J`8tmOgyOwNBe$`lY~Q7U&kDSb=p_6rD1-#5Q<aq`1jIn
zA~4_iJPma?W3ZP~4CbJBt<Z(#hN1%aVN2auYJK=e)Uy~txG2!b)fjg3Gh60@6@PnG
zo5EZB{kHCdNAIeLlJV-%_x=aB!PCW|JIMGU*gIZr2VB^A&f5bPDEzu({TiOX|8-@!
z0kd3bTU~`?ryplrgJXnlX}81KcOO^<!X1;LO06)5Q0p=o?>2B(zYc+)>b*!L<5{+p
zl&(AQT<F~`@vu<wQ<E#OSi=ixGJZ`{3v_XSqb=edlJV=NsJUc)nCs9xe=>emaI7vc
zg!PpQrb^-0j)6zzVDYaGtTpgUYn3zdu#2W{2pJ!Wb9uV+!^U=sHl1*ine-h&*y@D9
zhhDgvW%leIILOuL@>lrK5k<w_Fyo`EYh?VoyqNlk4t8GMeBu)vCOi|h9UjSN|J)9<
zAJ(3yg3Dy`c**#*>Bf`qn_yP^>K9G0@Bppqsw?^j{!<&t_;l=$&4Iu0i-8OG$oN#L
zLUd&eUixe<NXFaL`gebg!Ze&$%d25?l~>W>@XCy?Odm1JNxx7y<&S<7*&dgK&vtv5
zV$frjq}$}NtlGhDH{5S_!zP&ve7bO85x@Coc<_EQlQz6Oz`a1q!@0KPp){-<*ug=T
zKX>VJlq6iG+VGUD|3>;VKU(;=zA6tXpUr#R9ckdGmom>u`BYyJOPIZi`};rIcggtv
zf!fB9X*lec5-%Cwi?q9)8H9Ca<V#8UNv~_m55TuC3!Nh4`v;j34?e=x(%dm*dr>0}
zkv*`I6fHkFe;t2@_3B}x(-UQFaKCT6N*#RY{rl5oJYVsfHv1LK$yXgq$}c<cPh2^C
zN-9%;jOW>vW&ReyO+|N{N&Ptam8l^Q=J<X{fYh%ho%6z(utn-F=UjMBP-n|S*yUJn
zOd`p@FXeIqv2@W_a=*2!Fa2aJ+}P(#5eBQApUn%0Z*TffJpzuNrw+XhOBQZ$@`00=
z4JZBKsvT`*zVHDxyMAAIuTaiuH+V9oO358Q|H37fw6{_D-<+=S0T+QX8~E9-q@Nb>
zFYYJm_VA&E^7m$Nbd%p#3z%z^LG}Vk|9M2v8b0PDBVY(qGSHV_f@KFsCr-j8-EJD@
zB!Bs?el_^&ozny7;e+iCN=k5>__Cl8{Iu+WxB|TGa&tN9Uj%Y=7RBI31?Dq`u*s+J
zpCa%}%He^taKXD+I%YUvTj?v(|9p1p`^N}do8LS`?mtq8eWoT{@Vv!cu8M5$kec9z
zX}FNWRfO!1knpSeZ?FNkb2Zt2M=G<A-{D;xxuQ<6YN(Y(9V{X3r9;Zc%X{OsdRQ{1
z^o>7kzSl+WB^(?Ysv8XN3f-b!2A{jsTtm)>o%&^l9Qem%q~1OFw$vI=9vmp$QJVxC
z6?>@1!ZOdkragi!2R9krhxJUjcaZvU@<+fgcUVZ$K>9hHC_wSo6TYIF`tTL3&YzjO
z7ap7Lrz7=y``CH`H+)%E{KhvpkLMpfE1W5#*6<y^6P>k@1rA)CHz4iNH$HlL#u?kc
zAy)qrP8vG>Z3@2E_d%cBPg}h^n)MBi-PZYQ5bn6J9{UwmT)6H<`Y&OzsSE9}>L=sv
zq<s!<EI-`}>!@!^BkgmtGMl~%HXZydLAE#1<F)Y>-0{t;hP3}SFWZJZcvL`H_XEuQ
zN#$h@{I=-Z&sNxh?kH<I{F1d&jI>u3ANH*e;V9wruN&ac&uKfN;iG|6+N6J*v6`=r
zgd;g043YlrdC2!5KlqH$k!z%V()e~?y8#QG?V={_^V)p#r|a-sLcAtvpQlz|H@d>T
z|A`Nl!RpVRMOeZLW(6))u)%7<4Rg3WL7DOeJeZiGqD#_kp2e2KJo_^aXu}uwD+?6C
z+Rvl^D#I(esih=;UC4tmCAjLZ=&1tu^=jBNNjN~%qmSe_-<9z|9A4Z^ZJz_T>IF2h
zz!DrERSRLupBZJ$@ceC)PucMJOFf=EC(H-rLfKA^Z*n4wAqOrf_cbBM7n8d)H53**
z`_Z3V4=O{QB5uPyl4ls-z}nplFI-@$EZ%Wao)yBTkDcID)_5P%|34RbCZ!E8S$e0E
z^&5)`?>h@GU;Qmk)<4N?Qy>Xnx)O1gtbe>_I#nEIWco8m(zV!rgwen*w{1_6^HY;?
z!)G&G+u7Df&d=2KHi<4rJpYiW>n7I=5fy*#4wzPe$Fc>kOyx@!gzvcVM6JQ8b|SgL
z@XBcKKdMf=Z!QQr+3tYxyezvRH|#NGZO{p)z5m)E1hZx}`<BBgzu8hH;5gyTh*xmy
z%(rcaVTDnDoqV{0DLqLZzBQz8_7r{|YP(ex{%#q1J08~Rclo9c8)g{d3rT#BS0$&Z
z2TPT{<MxJcrCq*q31+2^lDGl?{4UdH1s_<HS#W^Qm6zLIhSSOyH#x(e4k4ee!jA8v
z8cpGm&udohu=?iHAI;&m^>;mfu-VcDlmB49%<$RUu*@-9M>Tj^#KiP2{4o6vCj<OY
zo>%7)ytQtIZYR7ta_UC{+?Uz+_m@4!*IzEFWx_*Qy5l48l#t)2WH@N`uWJ*$hgEH!
zq`Tz=ST(@C6c#}#a4v19a4CGjM~soI|45no`&^j6_^pQ{d|&tGp$xdhAnmm?oO3$2
z_8zRaq;gUW?tT21FAToB&Jab){|#sE?mIB|bzW{kSf_KvBLKcsFkvkW>lqea_Ja@R
zt}T=EITx-Y;SAem1O)TLP3P%(9N`|ZsNI}!u7A<6F&xsnDU%1*y667M2#%WBaflU8
z$YV)41J`Ic*OL5nn?@qkVf#4`U1oT^v8&`DyyLCCAP2mBKku<LT(Ry_#ssTLMYplT
zReHz5+2Co9>lj<%eDfXWWQ5!KYj_yp`Na1YyI@z}JSKXWZ|42NHh3lA&vhC&J<jwf
z9UMD8YO@(uylT=)4Y#Puw5(sj`93kqNCTgHv%hi;?$7<1u>qEM@!Gox2Nv4=rhrS<
zT<PcGjY$^Xf6*Sasp_we!?hjXYgXanhjo@?@JpqBoq3pc!|ulKaCFwW#6|c_K5O|m
zcs*Hj|0HZ}=D^+yFG|%pPm|><{5SN#Uvi7?4Zx-=y=JYji3j&*(*K)Dtf)4@_G`4O
zq(9F7tN-K;e3RmuGHJg@Xm5pA!qw3iEJ%O4$7FP>1a@t!%Bh3d)cM{Q!ar;tzAJ{~
z_J<zIfff4yF_8Xoc(#W%3!V<>KR}*WZZuNzNrnH29rSt(d#%TtCc<+AbSZJL%>3rM
zyKr%>=}<ge=IoFi0aN(NQiZ^KW(K$3g8h<ip1uQr7h_wy2{$S_d?D9wVX7!&ANW>i
z3C~UV<&7OG9`I$8AeF0d&cLlKXLx?7{tmg{uwZMAcZ8#v^4Z9E=w!FriZyJ~_{-E0
z4%vHm!V*sNZJV`%EyZ@6y#$w;Qy;d4-^*5h*MLh7GrZ=5FNO*D>A{S9zI*J0Kb=v~
z*MxKS`HO6Y-wLP9pM#lpogLl`n=@6koP~@1CgLY?Kl#ahhphoDc(X#A+<)e-wrl7T
z%X+x>!Fn8Qzc0XwdjE-$=RFB|{q6d&=_1A1MmY2~m%TB}CE7|uo*(_k`$LQ5H>|j`
zpFHo1uH>9DgKKDYeip%R{ZG_igtY=E?~~^TR2gpO7I53o60Q62(a7v0<ajx&G%0V8
z<&V7kNXjEmin+=Qex*+Nlx(l)a)A?he|yTGU7eJl{_Is@6S%3bX%|Ufv>vusfDNs>
zi>zS!Ke+-&;m!+t@0h?gPKuv-;88~o0UJ1$kuru0_B``*nk?@k>GYAjUt2DHA5PZ4
zW8gsaDy(uhU!SB;v?ag)44dgh%#-ym1)D~Y_j`QDm!6U1t6fYsBk==^0`(f?_-+@P
zvFE{6YG<R>;PN5rEr(z#v4VL;_-Tyv8CkggWu>VQydpz$s}J!a_OnOda>H8I0<C1e
zy<>OJr?A1-$^v}rV9(ow8<=2Sp~ScKFt_iX-tF)j&7@mC{7WkPC^hU_{;!hEfB7>+
ziiZMz6m)BV#N!y&zYY3(8SjT3?(#i^HD--2FTx-H+pQJ_JC!Z8O~Mp5?BRD|op%jy
z#^Dcp`Z?~9{9`73KVb&@eseOPXD1Ck?I7%HbRmeu6ZsVuIP}7qzw}ys;Eb#*x;^ml
z&-U>v@b*tTN?T!y+&U>o*t&f#rv;9f@~tKDOeOmFchtcRKOJdo;rB-V8*5;NLZL(x
zc$+-GWjP%EiRqgeJfXGApcGyfZgn~j?+U4?cm`hyEPinjF3NpcPykn7v{NJVU$)8W
zGdzY3hfjx-`OSDPpQXx#AE<8RB=K0XntyCkV55y+&CkM$QA-z+;H1&$c{1OmPRqmU
zdvL&e+an~NYYSUuQ8Zkp%-%xcy)4ZCdIZ3`v#QRi!in=#_I|Kjy2FS(Jh8E`!yPVW
zJuIpOH#~e(dma9qI#MYEi&8rXIKlyH`J0ZwS<eGm?ct}|=VK({ubTaXMsTwDr@dtU
zw0DXt?=Qg3O##nD;V0L#Wp!bue@7O@VbN<X`?cXSdw&EAz`iB?bINcqqZ)$<?7W~g
ztOUQWop?m%SF01r%a?>_t|*EL!rTP|55!^JyrHVSaO@XZ8!q_#R^C&*@WnLO3!L!4
zr?;QkVCJ{)c<A7^-}9DS@bRXd%-dnVlQE0C;rqEek1g8aeo0!cffHunH90U3(+Ymn
zXNEaO42=8X<YWUu4)}L>v34IkBsf#b1iL>{8+-+4d6u=2^w>j%@5|xKSsKQ>;BP{4
z>*=svp1U}S?=z92oqGu9Inumlgnz1Y{`7(e#d285@pOx4e)53-B^=Bp+rQG-V{i~Y
zEGWcE=AS#J?WHaab6w2M;ep3jwNK~RqP}kba`QB-xFW5X4J+!Y?;`Wx?NMi0a)FzJ
zwk&DGcf#m@JHcCSIo~4n<!My1yEg31XOgG`dwOJCISXHIs1qjZvrgjtD+&K#c9AFb
zHAUp$q&Qq|*wsqXrR`I_=wY_=3g1ZjNLH;Q9sEl^(TU8*w`DW?+O!SM|5ROo9(?kb
z=FB9#bd{Y^10K^l!S)HBQjGpawy*u<7TpIp!sw?HS-;4N`{8O>toVQe+5eh`TG2{4
z**2){B+S=rI-d{U?$OjI?Zx@i^U+*bhdp)VKX~Ya*3)Eo@Tk5MIo?73{PaY47gPEM
zWw_^DOlu%4MxW4n0;XbLdE*Zo_zxP9_8^v{#^(taeinX2^56C;-s29pcR5Ru_ORll
z@y!NSqF*XkfHwrcd2a=OPmnuJ+5_$N^GW*fa@f;ulE3`jhe$nGC~L-C3buZ>Z%zYF
z_{p1n0G8a9IdU3q3bvFb?P01|vEV4|8eR2T0={s*>Cq8bv3B(=X%E+S?WUH7eIs~c
zh2goT%)b(_-U(wqQa?&|E5G4}Gwo9H`Qg^>y(N2LzLJmfq`sFLxO(q|g~KT8Nq(Cs
zM&}){vGvh&tZ>Swe3^A?To32;zmojlwe&>RU<TuG2U0(S?oZB6z~O247fJq$+NmSI
zVU^_OU<NoM_E5nW*ekkr2Wf8$(UXrp!<+Zcr|y71cLmwD!0U~D{G>g!?Nq(g1RIag
zyxa;0YkuJ^huKxXDUkTt&FvX`O5uwOwC&Vz@^}B^58<Kq{KW0B>PJ1<G`NZ7gD@3*
z(`fi#BwQ&KP(%Zl-m94lhZDACD{q9AShUM;z`A|P%_RTd$U{%PVQE#X^J|Fj<p`(g
zwS-F=3-~CJPU-ol)f_f!Z7W$p`faPXOX_f7?~ES>(lZ)gkDr1W-FMKF`SU#@Ydu8Z
z8M%VJn~)xu*y<n*AM>eyO45rXs#j>?m1*88l3uC&X_^KW?~y%2)-P;X=JVSM^?h0I
zBH6x5%{P}{@H=12agyG~Sh(IytbOb+Ne>$F-r5SYWFNF6<&ny=D*Xb!visTr(qA<S
zzg8%P(>pI`kp75j^YNAhxVdwvkPlAUx7w2guaER|i^0-LPy1!zd5SGzq&;#s?Cm}T
z^O$aAC;f|nC3nqE_=oDP%cT9$H>bbc0l(GqS|RPPT`2zBk|p8+a}w)FfAE-+|HA@o
zbv9I21y;=DK0FDhafII|*QdVl=VIe9jk>o0X-@}p^5(z5hAuAor2S>RR~!2b-;*+y
zC+#U|R^eF-Y_wgamgN6->3e1q>|`vaL)u^Pg|Ay`;ARHaI5OX-Ur+GAYB+y_f}gaf
z$09dPOX0$<UpAyYYCo6Me*v2x>Rc9r*DWQ=3t(oAVmZ<tbyvPW&4ZH;C$#K?BQ_5)
zWWxXaukRr3>rPJMmUQ^y()m<!J<z33zMKTRI7<(b{(a_+foTGq=g90#+QZqv3w6=3
zGuv449{Bb#j`B!2>`}{cdN|OCn<E6K^-ByU?L${+lpz?Vi1K8ng~!t-uHAs;(o_t|
z`PT9%yX+0`k=^%;)CXPVx03d7!uKZ*r2d;5B?w%GgSH3%+W_}IO}k?bw`MCJBlXYm
zle?cOoPCj_lhn_IAip6)xIn0fk+g^B6_<MTVGpZ<^m&+Z)*<Z#{5Wi<5Q&FxvDJ%J
zg<~#^l#+OP+Bu_T1-RmQ^vW!(;C^!QD4f2{I&=(Pu)6SE6lOSGuyYFb^{}lHhbzB*
z_FIBWuV3L7gcFKAYRUSY#60#3!=J0Oq)B@d<#dbSfoY4Buao25<`odn3x7G_G`tN~
zGxAzths{-Kgh>B!+Bk@6FWjIglR(OUUE0HDH=OF!+DFQNU!T9r9ys>f%4yOcazz=*
zZiOwLaCVaO%av`aybUf1K68wWXPlE~{Yx#dKd*z>$@RnJOiySzELvI}M#gK;p81vc
zo8x_-=?LvznBnA>x&io7(^2n4_+M8V|0noPs$><3SI?v4m-q}%dEXMtg#Uz=-tB_t
zoIIQ!!=L!;GC#m?68W@B;Z~C~TiRi<j9vH2;Um;PczfVW)VqIl!&{roZneVIY}EW8
zV7q5w`6T_nedkA(V8Mn}x;FTL+)1IoaA{7+o(?!|E+v5i_XC;5b6$<`IpI5fl(3E5
zji6@utl_}v?Qp!oiBlEuO_73jdichXI;Aq$VyC__4QwVfW&H>qj+@}!3AY7Yzw`iR
z*?sT%W;o~1k$utd?}sw7+u%2`&3hu@ttFouHo;GnM7?jpVoF&w)Nshy8<!yX?H9F#
zHSDkT3}25A9F?%6ZynzHq`Jim&Z#c2BgglHmQTzT<|=T?`va?X*7CZ*Wkz&IXW*2V
zIt4ngeEYaEIertNjhR~TPu^QyB>k~Ym>xTPXn87SBerki*m#K(ZZ*ERV=F8uULLd=
zcCw`DCdZd|b25Skwv%u_z6W-2Q}-M)!}k{=D|dL|?fV6t2jQ`(TdeHxLc+xTX84oA
zr>{KlmACIB8sYr&rVgy|CjIIOBlr<-!G<Gn+VR{)W4I_u%2^qXTAC?83-3A=Gp7p6
zYxmY_!xN&c7G!?!!$pgHr(qiz)l3o}FZAq-m<C)D{cabDkKgM}J0}lI(Xhpn`KGBy
z$5#~L6CIDXSi@IGw!fBu#orIzA@f^v4@<oigKu)3XEld&MNRs5!<<t|{kCvLM%4RV
zaObBT_NFkELPOP*Dds=w5iYs{E4&JBn1LNDUh!Om`F@26jlnK8FU{Rx)2(V!<FFg&
zsrSBcfRIYe5BR}x<y`@A#l(h`VVI4%C+H5$xW4@FD{NudTptFjSUul72%mdoBohm_
z*gm%Hg)29mb-xc!Uo~~<gZXNQM$_PQTg~^~aE5ZX&?8tZx#s6bI7@70YcU*tCR?oo
zcCQ&dT>`&wV>f&ck0$LDCGquz!+*-(!L%x?_9VXEh1&5Q$v?G~SF;yhmQ)dIf{h!t
zN0E4XjT7aHt#FmsLFaM!w8X84Z(%QWj-p9eT>f7X$*(`Da&H}u9jsxhfiH9mzu$=G
z1B^>P9Ch&c=PH%0utT`K?<;t*|6$NJ_{N8#sMoN``DQB;56>@TH(LtlIOjgz3m0GH
zT`7le4lA+<!paXnTr7s$**Fb_;aImw%Mw^*b8!=ikEbd)+K>-lJs+|4Aj~E(-~JRn
z_iCS)JZz(xESU}87hSDTgyk-4AIX6?P~R0f0h<ObBt3#<W3BB^!4t=GGBRNPA8Y;E
z@UZ3y>J<2FbO)y%%v-p!BMq)UXB}w-j~B!^-G>LcWjc)E-Xc|x1i0U*P00qf9^Y+x
z74C7%zIhdPS-5843|C#*#&j8eG8f5a2Dejt#yY~4N{b98aC&4PuQkkB80cyM|9u#0
zX$zZdo4R}so_hX!o;=T~Yu_ra2FqC}T(^X&9B=Ud2aD1sQ<44aJeu(9AY5~$KiCxB
z!L@5p8ZLe;%WMb>ag|YVz*HMoK9c>H_fcA7g$H`I|NnhJ*5qOBXC}Dca4MX*j`R`c
z>5~O81{&TD@S&X2_DJ~fl)?=+I5NPeAsjaJy1AVkPfSZ{fi=ACN#z+&Sm4gJEK4|e
zWUZfkFHmu1mxvmyYWDOiNssRPyYD|(@#JrN7x>6Fp%Y@T1J8eA9`K2UJxU_*(qo@W
zCzwX^n8hx5j-tqiY+olv{vspHE-<o<Y(M>Y`QW@U+P~V|Hh1`({@dPJn2w1znWWR0
zNgBV0HQ!Grk#uSP)B0U7|0%ZpWc}OSw7n|eL%SQt$nl4jxLqxSr}xizkmGm1&U+{a
z{x2fq582;6f3(E1;RczO5IgvO!`gH_d|cgr3)!Awg!HdC_|cu{`&Mwc-Phb(WO*%~
z-K0KTxyGIm1mECQ$s*71RL;3j-GD_}sfI0JO2?8lFL>{ML_NU&F`K=<0?TYp{(pVg
zb2Y!z4rcya7HEKUTR}sw3-F~7&P}8~XgB3uHG~iEJaShT?h4aCbP6s#8%|H^!#n3<
zu@i8Veb$4su!ky5loBkhbMhN$4+@9vLKNWMzb1~Py@WL~pB9HF&L&KrfiJB49v6jE
z!wY;=Vab&J)SU24Y|kpmznLZF9~)d@JsPSEQ=FeOW`Z>(ueGSaG2d+s7~r|^;Pd2p
zq<P?*vaPWE?H!5ad1d|{`JydwwG*e%AvogLgzKM6cz-v`m3;($&*p5u1ot_J$w<L7
zkDA)1V5)`e>j&T;ceEQO;JDT2R3dPgFXf%DaL2vmn-Z`~Zfw98I9Vc#k@P>RPgVbG
zg@rx6?~?o+d%wxI!18&4+`O>7RMdu7FmLvW2PFTdVaY#baG;}xIC)+=^Wh*zI!q~{
zH^C48kE8pJ=j!|80B$83B!ui)b{P>RD<h?{vop#_e1*(1lAY{X8Hp59GO`L;6=hUL
zGAlAFNfG^C=lAFH@jjo=J)e8dx%Zs+xtCuw6Rf!~TbfBA53E<VCo2?=NDB1Z1uw+S
zCI!PCxBckI_0Z&|D2E+PuV%f0e1EazPbOP9@vliTi9fqH|3nPFt$tKr8WxIw^Jq7`
z+;;E-Io^MF)88?{*@iBelCb*5h}VqpCO<P#VfbrmnDKWjT;HY4g{9!Kf?)jxIAdL-
zg2YW|^5r_<>zy<6<ox8XluNe3G$*=)NPUzWr>`}_YJVQoiNXJx)*|ZRRr+K-l0UvA
zcm7Bz?E6`_gVaYQFk0h2On*(xjQoDjb*Zx{aBfZ(3prlRQxn@HxcIYgJ{LT{&q&J+
z9$HrX@c;8O8h6MQ&i}dX9Qpk}U(Zrn!utfhrUi)`q*hPCRF%5EoG>dz4UYya-=rc(
z>QmxG%dQ5OEp2P&fXljV2KT}i?{rm3ebfUV_e#SHIUL=raQ)KOR6h8toZ8Wyu+Asf
zcpf+}nPG?tw()E}$q3I53YqPINAHO0ZG~UHUih>Xt~eaLb=?y4n~tCM+u_{}^R$2A
z%f|IT=;2{^&5l{voub^G0alf$ZJL2w1TL;`fPE7bKJ~&^rdw*r{WGAw=Hnaq!~F;y
z8d!6YKCcO$+jR0d9V~Y~IqNB$>A++}0p~^0HQt4{RP!=!gyk>atS*G#JsiG4^7of2
zHV<Ei-6Ecwk>k|}mGobO&k0`sO!D~>dlu6!!<O<J9LW9MU@|))2<|^y_v1I>wjI1X
zY+#YN)UPD|Tk1Vd2lD%_y8eF<KUlFxRtrvQekMoi6O;T?LKD8F@n7>Y;@a|BCnRBa
zu9hHDpX1kAkBGy+4ti`M@AFiBi<I5~o1`Hhg3n9KxrkE3${xqxkmJW3eONMSf%S=p
zYzK)yRLd(Ihd2D{Hzmg}DeLNd0lz3uVIs%B$J^P`0dE<Q%OS_l@Ov-Z1oO7;7$N0v
z{d&*)6xQ^sIQJbkF8>l-4WCO-C|-nZmFN8{VgGlM`@h0tCjW*?;fmd~7s>mDU+3uG
z-iIG7=4>GEUmbMeQYe7eeY`Zt`&ViV5_|LE=~r8OMqt;khZ3`3qp)GdG1xxaC^iF@
zKI3(h?3bJ!be>CqA0AT~Ci^KT(!)N-!&mG2TzX(Rg-o4DSmbR+Q6IdKsz&`P{Qb3*
z!b|uK<(vFV@FT7TFY>-u%)rkZfv|smC^eZMswgr1^MWn;Rn*A*aDYeQk0&fF_qw|g
z-u=?0)*jZc-LKaINBqosd>R&X>=>wpGX+=nYrx}PF0V;Eb#1?#8ocmg$+`}H_0Pvt
z40bhaW+U&1{S210l7RV!l%mM{VZo<P1hc|4xnI=C?}^>~FPshbiL`q}ey?RK^=C%-
z{MN7EhT#Kj<+DuiD;GyQa()wU6*I1y<L}ut&Fm!eRU!TptZQ)1<+HKm{jhQ8KCY)Q
z2WQ_!TC_iJt`1uRELe4%mh?AUUOC@NSbD=f4bndX?Mpl>V0TI39@0O!j)lt=z}-e&
zN6C2D-%l%@5Bsxd4Uztkqq-QM1;3t4VkiAIx!*531AexDQz7XOUU_G~Ccx^44JQ}K
z=QS6n;$d&@c2CkDj=ktE42HWJkIs?)L|bm3cL@%WZVVvryB&5lpuPy7YF()&zjsXd
z>Tgf-`9s6~q`iB6{Z6^UwanX@-@*5faTqznLfj#_q`jr67#^R7^8_D`koWt>GEWs-
z!Ah@VS4sPFe=*o>0?V*eD>lJ%_trNU!Dp%j+iKtz^FL>f!da3>Xh?f1;o_qM_ip9k
zzX$iQTh^<>iO*E5OJMgG%+)Gz`ud&O+i<ZL3x@*v{A818Av`YohFKn_D;2H23Ad{B
zdP%}Yt*T2oaPK`c7g3mFantteaQJbX7yR&w4%hKS_~hEIR$kcT{^bu*F#f;UE_OIl
zE_NqbU(waC@$Z073e6XV!Gb~?!x-Sck)^3{SURHAcN6SvR!K$HcR~?$15|M8iRwca
z;a=&~J_^`za7Wj9I4Yq){?92~-)UGj{|6UqUD>k?%X9vh;RK)fo&V!A{Cm}k*$rO%
z7CkowvlmzAI>5hGv-C$`Guxt(Gcco8gzhlBl1b@i4S!fpFYbdg!)EW=!e;c*1wHW7
zBbth4FeUd5+81z>qnI~Y4-YFPQFg%RYl5i_;L;OMnrmQ{fI~qhF!jUghAMdUOwwk3
zSbl6IxCjmyQVl2NDXvZh+<{qa5}C>W!}`JUXZR+pXJdEbD9qSO^FABC<o<9(1Fr0m
z$c%%VRyECZVD&cDlo)t5Kk?Hc`1agc(?FPGg4tFRz9D?Yz#n!Nw3%0i2ONu8Tw!b0
z?z5_}@>mz6Gu$!9_Dca?-AyBF0AJ$eyRQN-^2kY@fMc>8mB{|D(zMYxRajc>-XkSA
zQy}iE3jCk(yqXMr_TP=83b6e7=u2|&AI%|cd03qB<rWEeWp0gL1itg~SNI-y)<<K5
z5d3k&K9=3En1=BgE;zZk<%Ae~`2DTZJK;DFs*n7zfo+T6W_aQ7b~6#URgsOC9^QBR
z*e7oI)=$x3N_eubOMnmFI}j4^&kXtKM!Iq~_@-*n!Ef;Kk~L8-IK+u=|2*8VN4}aF
z=3(K=`~<tq75!v|cj$zqOv1%$BcWU2eeriq`(Z}vnpKj&x=71r*bCR)n~fs*E9yM)
ziWjiYPlMLYu)grkvJQAvG~9?9))K7P)&#2+e7e2?PJ1Z6<tbcnmW`L>rzn{<+^XSV
zRxb;ZpE4|MbgG1#9rCAt!3H)9Vuf(r(c^aH?=uV?^b#q6P2~c={eW#Z<$p<mWxIDc
zlYADB#Gc6{QvSHw@;qF7_llD@%pIZmg~Vlp_#7_49#t+r3-G(7YY*w*v1aP045(jv
z&GX7l@P&n$z2y8!pG#GmHO2YbF~CpGZ%t&A$~>H!+?+((FOJo@sT*GZb1`f$T(mp7
z^$kql>A18XZrm|ed=Gx@^O)~2eEZ8{X$dS7SD1JVeoTME<0gE3O?wj=A0JikdF8-v
zLCS$-yzLqC>raPYPS93c!jffI2QuMH11qAAu-P(ORt)@tDl(VkmoDw$yA=oTw+mwS
zgpEeV|AoWC!iSD~!73Hg)RFM66}e}DFttgcLomGfZt?FW_+I;cr%?Ecz|8pw*uvVe
z!yn$ud8e3M@9Nx~Uj@P@L)l!3u)#8yls7y)Z)}zfpULNyxd^8U9qY`7NBFuD-Qi^e
zYT8?Hu5)+lf3W)c%0+TL9=phAW(V6=SuK$3`88o~O9$BbrOD|E*r2kp&JyM{rM^)K
z-=L^{Y7JM9{beBc54mtNep7gV#GND0V6Jlp!l&SK5jk}oa7bjxCtWyCYDSjakHq_Y
zX7u2M^r?ck@K0AdJx%y<X80JH?}!`y)z^YM{6Y-Le5m?kWSI)AoXQhV?uR}O0gqJS
zQ(t#dlKXwhwMehM@QGkO-*50HUmsstSp1Og44EI6?O1*<4&SdD7G8y~WKRrB!kn{%
zY1Fvik4V`Z6oCycyY`a#@2-<a)ON$xqArKYe0(HQo{9smyBAVN=I^<TT(q2UNMnc;
zSzr9Fh&jUy7nIVuaKpUsJzQ8}YDM~CvYvS+uPIIoi+XM~B<rKY^+M8gu!<w&bFw~_
z*}Q>i+ywa#D~tJq@UZ?nmPyz;^|Y-PteszY@fOVRH^avqmT0mL$c44_ioTHiz_X>G
z50>y{_wqH8pIDsd7_)|b``X+u!-8Hs0(;@VH32=baLq!Iuq^CvmZq5kI|^PA`DKjt
zgklv}AzbCcEcg>{Ur8#y2}f}JN8JU_QHZ=D?+Y#IZ>M+(<F7(l=fa!a_CBqHD+(+6
z3SfiJgLO~flxI<PH{kJaGhC10=uGPyx8T@|864&CUUeC9@;p=SRI%S(IN=!8nGE=@
zueDDhOdHm>cpd(tUu+Tr&+og#kquwT{d6h}e$w(j<~FRxK35X}cRo&Ny#q6}J78^v
z=O0y;i>u(tKX!b+FyFz_sT!Ek^roOcd|zSAv<VIjObhdb>rbR4w!lVeTcds8^oOfH
z{ct`1`t*4?WuT<|9lX%u^^KJOD$0`j1=g~)I^hbxv~GDl1G6cl8@j=k^~>ty{k^Zx
z10FfT+FJ^Omf&AO-)fxU{rk4qk@r2b+Fo$j!PH4r*>v#hq7B>*@LB7x3`{WV@dv|3
z@Lo^FE371*IQ7v4{&UCe7dQNSE4z&%+;sNCs0i#m>gcTnZ+vV`VFwG^vh}OLmSxLI
z<b8r=Z|5&Z;IeaaU&!-)w_a}0(SW5iy9F{}ox%E(y71Pw&VJ;1Y0ZcF<!bQmGU^KQ
ze7tl(Yy~MFB%vTu536gjvmAhfdAn@M^UM<Ci91zci3s__<oQMOvpf7r{bnON|Nnls
znq^NIsgK4>hqqr5_qRJTu@Ao4^?Mt6UNV6_eUW^A?afa;c07-nBDrp`AAV3Db(K7C
z+D%{Lp$9vSDn^s%f1m%dXEKEIPG=o=fR6@W;5-E@TJqirg3~l*>TKb}T>-8EF!%Vc
zCUSmho_8IOg_AX(*q?*Xb_uaY!{3sAyOH+Yem~1KAD#>sf8_#4UDCNjp5JA?Gdf7(
z;*%5S+u(r_8YR;Hr|w_B+X26@HSvyv`Hz1%c&Z2alV56m;qZq4QhhC8#us#-;^9g~
z$w%Sv(7AEVNH|FI^IQbHiC^0AIy~NIUU?TjNw-o?;<0a8zTboAxJ{puIET@dnpg0J
zBh0)}aG{>c&u&<#U|f`Z|JIE7Bh#?qiKNH~*fUWl{44DIjy{dVT_(zpZSBS9+wLuq
zcy*6UBqJOla&b=)+!^@#ZYq4Ohpwj#9?_$7Pliw4d_P%3%AY%Rw*mf`>U;GWoRJ-Q
zz7DR5JY4qycKOJ4Po@vw_imf@6uf&-$zu=P)1Kq~9gg5I<+6wSZU(XafsKP*$82E(
zTQ}Y{cq5bh^Z#Jk9nnEc@WVt)3NQFxn|IVIe0axclQ{Uu%GJ+{Fi+;Ogm^g2-*1t8
zA7jjk&qZ*f=;f0?;LS`21n$8#Bfh7|^{(CbAZ;C-t?5%W4;OCPrPcu34R|z?^2QFk
zg}dRwB}eYBFca-I+c)r8m(#)vaLq9$&2iY_pnlkA_~hEJOOx=!gd;Je{Hok<yCqnF
zQ+j#=cKI=MV;Pn>F7cg|XW#iDgsva^tJmm`kHVHy4RxE~hCEu+Ntk)9F^3Z#OCPKl
zhNa)$8sdfxV+ZO;`JW$h8l~XJiUm6d;E|R~D|_JH%>@GF{MX|DfU3dv=beK4VefJa
z4o!IfhqG7S!9fm|F-PH}dql>&;Tli*R(;r?U1+8k-lDBgYy;=;4{DR^{bqZHsnhV!
z%=dcaeqeHi(bNTwPma3V3csnDNH_-<Cxn-G!o@D1yo2C_YEq2N@MKB#gUj%Gi#YRh
z*z4dEfk^m|L$^mgESwo-6%7yhboi3~6u&D@Een2#>qHIwJHb5g2Ha(SdaxFL7jHRV
z0I%gND^$P_n0JX5!DSsklq=ze2+^zu@E(dQ8Kp3_@b~_Q@SufX?nBro;8#sE%%Vf}
zuNZa_sr&gHrVaQ@RRX`EYdq5hhnWW37Qo`KLULcjS#1}b$o<NIA~Jjoetc@-c`j_+
zqw{nE=DIuaij?nO(!c!^Zu({-eiQcT-}><v?8SRjHV@XCW^Ug27Ju)PtLl0t9RK$9
z8a*5(R+3K2*A2cM+X*v&VEmN|7xgD_al^WuwCkk2d}kVk6f7Zg+9C;V>^Y&l2hLtM
zvrmJos!Vv*;1<q%Psw;6c(v7B19oo9Zztss<uj`o!EG6H!m;q5)^=YLIKAoL;cWQv
z);_vScw<}lmwfoDHd|L3Z2TNg3d0LJTT^Rbjea?k+px#ztJk%#C^uzt6C85g<C4-l
z+@C`k6i9yvEzH$Wgaadvop=kkr<yLfz$Jd?7D<1VWWQYD1mD!VxBL-K*zO_nAMBX_
zB9n|4i<ZQ%=V8jLjJKv?-J_va7h!(!lT&!~=xKoblh2-T?5P{mD{zQO;i&+4=uSf{
z73MoradkX?@X8cp0uAhTpy+xCoEYTk&k4(pzxwD8=V^3b;)eC)D^G^OPw2&+<X}17
z%A7#B(j@8JKKQw6*7k6C^c%$=BUm}^v<Qj!{JXej0+-6Er(c1&Hz($h`Iwuus8uLD
zAjVK&3m<Wy>yCy!vqW{AV2k*fq)7N!kL1a7aBE7z#SHjiSfo-IJf$ezng}m#V>=WM
zALpl6%z}9qTy|%}F*0sfli`jBJ%X9=@UB#rSh#MA^FcM7%9^~3{2u)T-+Ps?sLj*I
z<oD)2jQRc?F5nV7<OA<%n3!#b4c?f(a)UXxPs{Yeb(<?poMHRGG=+Y+-|b2}X`hla
zS$wl_&foJpT;Xg}W8r!D5!Hdn3ox6T0mBB&cbO?D-=2dDCfS%b!i>e8+TL)l67#7Y
zaLdJs*B&tc`luB<to5W=owOIT;71BRc+!5)M$+Dwa<6U@g13d&&P2c>XQE2T{9e;V
zxs0^O)rTro((u{4O^K=S_zo>|1z4=}fGIgY=6mTKl;K0Wo+=f<XXRNpYQR^+<o@Ns
zcMRXKlJ!dcx~EYctS2*7eFARF9c6z4-%n|4GJ-W#EdF-Flq{o;WPQ}c)%>&_mgRfl
zMb=Y)e15Wy!y<lP*<4_*Y~#U?Fn7Z@5f9kA=(6-5xZ*o|Ct0t_vJ5W%g7@x}=nH_2
zn6%$*e2?qJoY}=N*r7TrYXjUZpBF>cn|e#GcDvv@o<XT3c+-5fh%oHFO-dyLw%hh9
zKm}&(a~mV;*~sI}st4fR6vN-{!1aQBDaP>Sn}W%u@WHz_rwn1Es=%8MVK?!b0}imo
zQoGs{n0fXGg&n+UMEYn0{5(cy(i5()4PJN-$3z4cdBDDjGXGw{+s^o`MZwcYV)A<7
z4Mq9SBH+Spx2lH7=UtT}@4~-Fs4OPnm37;rg|KD$yvsC9)p{iNDI8#K&hQ=9xaI8F
z0B0y}<XD2an(yg!!;T>r>;A&}?^?FJg0=R@v{4{`;LlF|?E_rLUg$#d3n^!JR1CqP
z>F(ZJVEWb*X|r%H-!wZ5Ont)IVg~m3uThX4u6~iMvI@&(9Bku-qpxRE{ek-%N?-EB
z++6#-C<kzU^`tyR;ks@675^bVaGfha5<b-I#JLUehjlqT@^H})$B$d#k=|_4{qV`A
zgeD%?=$7y+Rrs<*)KxB+I#T+*Cald-?kov!U#tr_3QITSNs7aLN9|(`;7mrdP)+zz
z;%{klSbRlYOC4?&uTiyyegA&Tw19n&noORBZ%g!BpMqIw6Bb<IjEf6uF0fszOcKe*
zSdYKj-~{`b3*7dDC!d}-4}o)*UTBBFyZ_VTxeW7n_M1h(78IkN>F{pVh`-n1&A%S(
zONI3wJ2I!ixAoiqR>4tf0#!HR<m7~>k73q{@4ZE^*BH<5k1(f{@Sa>)&e2?M9Bw;2
zW>5l~_1S!28N~X+_+Kf>H{Dad!NCR>$2Gls1Q)+!mNS6!gxh8B!#!+99!795)tm{*
zXU)Z{a74i0tv)<_K;n;rjica@{++`Ou*}dq_ZC>c`iDXl%=Mn@ek+`%QLbAL8@;(o
zF$!<V4k~yIyYzG(7>7A&HL7aiSY_FSRhXfVnz;ggt?Kh?4bBPu$U~0ryyEzPVF>e0
z%5;Bn{49pT*=?}8ZFulQ__QFeH3zKpQgOH#Ry}Ez$q7G8+y12#E}uCTBmqCKsMjF*
zx68YtYoy>EXVQ<~gDW2TXCH!@<&^K`!;b3}@6}+@7dxs*dB=c)S_63Nk@D?1@N)l$
zWg~c^HIC;t+@{$z=m=;3;`Psl6-#N@oM4GlYvH8)IK$E(U-<t1h_Q57HbQh?0L<y>
z{W%kkTF5O7gEbDVsFQr3S4i(fIPBceuTR>4S5r%CDy)3Kpg11>V)v6O1E$TDswCyF
zq)biSh5zf$V~T~@4l@hfhrdT&XCwXT+>Y3!3V1I6pXXIL@ndCoCA?F3@KQ8<;z!ZL
zHaPj4>R>3W*7;_>13pkKIeG;y-K=NZ1Ml~UR}O;3*F3WO;DW7A|L@P--|R0>!Bjra
z@<@NT`4&<88E(=mDGGqU<Wfq0gOhV8X}sW)S^?)DFsJ!@MqhaR+K!{t!?-@!2)TN|
zXRG8RH^9Hu8UOQycMO#M*$R8hnY?s?cXGaz-v%$yi@!e)XLUVg=ZA0JbCxCJ)0}t6
zNDwx;VYuHJmMJ%G6^D()<C0Iqj+|~(QgAVsZH^<XQ)V}%0#}<StXjcRyM6i9U;}f1
zN;3YH#1<2E;le9-EY0A=I%K!t(u9jnmhi-$zvY(jifdN05%HTX^VYDvUs#6;ETI``
za~A$|C{O4(oVuQp<qUg$i4;2t(|%#v>IsWy<%R3QgSA|`UNFVV`GjNe-*py=a5%y;
zc=j-SVT{`;0`Ay;=7%=COF45O9`-)%c}x{v-Iv3f2)}%2VyF%eZ{&{1gwy7%N|oTP
z+<eX1Fy)|X#Q~Vt@rGOh{E0$?@&DJ?q#GWE@X^m3Imz{PXL7n>HQZZI>9ZGBdXpOe
z1n#Vw2#|%-qgW`LVJrXlZ^hxwql^ci!><Ce#-(AtXPf!n!k^|M4(^79L^fEyhs~Fq
zG{oQ!`eCm|VGqL-Hw9pcSAO&p@bHrKZ6TP=?YI9|c>2)xe_U`0&1~fyyeskbCUXCn
zteDPNhf`yU9Xa52^Pzr<54avHN4avs`mW~M^zait>sDsCNK7|uGh7(Avxf~XsntHi
z1#1a>me>YIMakvyz^6a9$ZUsIH&rn2f(LD4<2J#j-)|fjh5M_VlF0o}dz$;%URY2_
ze4YkQo2FTlg^!Po{~`Cw&$=5%HQ~m;*+!IbiP;RNHavUU*PI$=c;*s!92Rhve7uVL
zFU|DPj+1b{>crE3u)3K3eLMK$uXxViaDlDV7YA6<*@b@v4%uIJ$_?h<ygl#-%oG)y
z;tu!zeID@(*131hHyD0+%yFFL`w!8(RD{BR1b5Dp@@w4Z(vskE!E&9iuxa$+-W1rB
zHAa69UU}K7c@r+7;J!Nr`xx8^&Vd)dbytx2g^o^+eK|}QbBb{s<{$RD^$5NlCBr%i
zpN#*ttq#^@ta2ZQwGOl&ZGfFQoB~GS{md_=yW#R<ll|}Eu&ylEH}Kw5bwh*jkssV2
z2H+K6*?naGbGLPdeHiBE-E^QIu0HJ+Jqg>31*X1&#f~eqeuBNjcIT1(iw{c&?k>ao
z4<`QYfV02TO#Oj{zMZ9d3G1vym{5)2dXe(dvIX9@{a7Lm{AJ@sr*?RArlB`09AMGg
z^c3c(-%-v+%0Il+Map+7a3}AE4^;H*u7`P?N4mw}^{GOsM!0L_w3;luzxP*U70fTn
z7bFkcXyhc<!V=-TY_;ImBcJ9U!3`fKvUFf^*@P8RK3?MMrBm>;z;2@l@TsJNCl)XT
ztKpeSc%oXG(Hjox4u4AKpTdIEM=rwNS@JK*{IkJgK{67arM4Bh2k+~<;~WiVc7IhU
zhcBB+H{`>$MVk`u!tQ-je+uB+*8=a7cnkl0V;fA96-!+V|Cf4uwFB;=W#lB^Z#h`>
z>?<s%wauHvJGE`r=3pVk{8$n{A8OOg_z~;f;*?J$e)9|KKPLEl@Uh?I_at{F8H&Tg
z_HqW~_y^^5<0auM)Eli!U^-Q8PZgLUX{xFK9;jL=QH5`?)ijgxk1Ky)KMA`T#dGJu
zB?pRM8p0y=_M&8do-0*U<^YQp?hPaRQ<Y7oU(dkwKWXDh`OZS)u8Xi#%*!vC@VYMb
zCV#lKs&YOX-sBw`5DH)0e^Dm|-n>V$>IzJE>xdCqABZfAXQsgKUQv}Mz-mwX`qN-L
zws$q8e58MGbrCGGc$N7YTy@g_XE9vIXUUrg@B8Qbt`<IXm)b8HzBtLv+yEy>v_)Ts
zo7uC@zJqNq+fS1HE=S5k`2(=ODBoWak5^K3UWKC!N{pl68P4I`Yp|vA_0w@M*MoNv
z45Mg2Cf3?;IQW)d^EP<+!|zs7e&a6hJN)ogTW`Kl*h`3YTo9hzW-f6RHn_Fzxf~pK
zs4M&u+*({pp#WR=JxU<uH*geBXv3~$ykGrce;F;_Bk<ncw9BMCcd{Cl1)Nmoe1fdc
zl52+!TERM7PFe=Q`P<&{ormWR-G6)mX4Z1I^nlwPV%q#*9-q$-qTqY9Lwug_Xz8Wd
z7}#~T#gf!7Nk`ve6i%y5p(f{--M@r)1b)+8$C?b6T;A@r40C#<)Mdf4KV1};VB6Pk
zyK>=ECGD{cV^|MbS9z2E)Z?)8<Q6z`J9A_i?E1!|Kp5r^Ta_Z?vGql*vmjh-uA@xG
zuUbXcQ91aeyZm?)Jn?CCn+)7sX0eg%rwXyS*Eqm?MJ#OF;3Ij`OK0G72NnECd~ef-
zCz0^8@m)P6?xcJ3S2Ua&mN`P!f59ic2C`uOzEA~ny?OCThV>>~Q(Swn70wsDdG!ul
zF?lnUtS3X?oN6k96>c)-llpYl?J1~%^}}XXpTO0=Go!Vz+!+BXa=jAYWn$0*m#-dZ
zNQGJN<4ObbUp~`9_G^WT_Rhb9`}?K2N&nX8e=9l&3on`qCc)cNw6ezGJ+fSZG4K<S
zFK;K|7k;jh@$ls3j+!O7#$nf31bms-d1)E0qLZQ}?Q@@h<4v(~^xxZk*0C^qLD7H&
z%$ZB=NZQjcj!jP<W)mr>C+%%6T6t9gmh_Z;P0C+-O*M1^mbLHLP5SpU_naMuuu^TC
z-z_-uB<H|WxS(KfPa3Qj^Ngh#Zmg>tA^qXhY|?TstbLM4fz*dyPEqzP{KC%uAUPkw
zH*#-}z&xXkDWpEJYwDw;@TnN;Y%>1dj@&;v4SRn#|4GKDim6`QSJ-afjTJJUO&>g7
zUxW{ZFBp*g1FPCerC;!X{hm{#zEs=m?ybXKSwZDNFiWk`XNn2r9~{=}L*St<u}&s<
z{;<XlGQK*(pKV})kL(HK3WN*WB`$KozAH^$UhqiT(}z5;=OxMjANaa~gwQTnXYYaD
z^Dwhgy^Sb5r0+N20pB<$`erX|I#asW8FoEawM7oTlslu~3b*YLx^w`}5azsY4-ZI{
z)u_P7eT-8b;Vmb*#I<4di^W<d@cF*od3x}5fzhL8@S1%Zvk`26i>BZNtl7<e+yve`
zsd&!-E`1yE)EZ9FHKW#prOavn+QJ`p#n2yvJqEnpoZ&9-g42g#5%2Fsu5j$!+q2rR
z>bcW9y<i%l*~UY#7~i0=5B!!#|D^`(5d1_j0)D=3E_48<RNw0rMdBebVk+>id%05y
z@PQ*qq5I&uE3Ev<aK)LXNJaR&<JH7$_!`^u(LL~(>GG?a@Yz>CKFPrK51bAa!Vk`T
zQxS*zpS<<I3r{`fIxGn%#^}tJ!)XevH-zENl1IBLV6m}tcST|IXK9<B!#lTFQ3}9v
z-zl`(V9zs=8-?J_au=$);d;LdHe4`u;J}YJ@Rj`?t|Xt=bD^Ps9R9v^ubCaT>kwd?
zf-NlGcI<>LE~SLd!7LON{LC=r?63L-c(#9|6dTOjKAb}_iR-K2hj2#NRO7%f70jAU
z8_NU-xRf2+3^R4UouG%GuWgRn3Rm>5Pj7}_WnW%lg};37P@{nbbq3_w;l|`|+O#l}
z&9Op0SR||R);jW;?gF>R1z_=aLj@FwA1-G%5{KUpSr~suJT|(nQyPBoU!cVz+<8^z
zfFk@jWquRc&u8gxe|P}4Ikuba3)~`Bm2wQ8<a~dA6wdKje|;R@9Q4zRJP(lC=dErA
z7t7vyIS9MRJP9&~CnTTr48yt%G7ENa`b!%zl8@bb<${<a{K3X=&pUYd-PbHPIQJ7r
zWH)@>QS6;NJhxru+8bDVZ@!K%Tp#jksso;SI}+v(Z`Pjt`T~yHX|@y!Pu%d=Xn|SZ
zU*8iBOa6`5ZH4b7ZOV&-X_fhN8(?;4)erHou8e%)Q#d{QiGDiFd+OOb$v@9V%|&Ix
zhSR+?wXli2(`p{f|J&U15gezKzOMk*;6G>g82)U<TvP&YV4trkf&coePL#ongKLdt
z@ZlYGM%8d*wLe=CEUWh^{s~;d9K~G>pR=~3Y=*g?7KM1h(z-&odSHruc@aMF_LMu@
zhG5#@-Z&e0EUD?)7_7+nJn1x?sIDzL18>uj|E>;e99807go__=E^ESqhE3O3;pkx<
zmLBXkWQh4ub5G%ZXhX5H4^CoX^cIHGn4H^N;G2g+W<=rLbDUlO-!DsLx0Hd~)Q$)@
zBEHb~GF1-Fdb}z|_P-c!JJ213>3#@>lKrpJKdc&uV9xcv2(th6NVT*=8$K@ZXXFw5
zs>E_Z7Z%nqo2i12mB#g$!>o*6Y7gMOyOp+D!E|r08j$@lw_z$fA2^9V?Jn6LJ7-p!
z?F(lYKX^j+({^6*{+<BeJp7o6?1#xw@ku1ZjLW)G<ooq*F*!8AEPe;V$^NkTruv&t
z;RZUXY!dJIvE6YTE-q(UBympThFg=cLEs4*a(ubVfj`$^>Db*C<oNj$BGMF}@O$>2
zKSz!q96k}o0k0G)HQ$Ff&&D=z!sSBGy2$St?XJj`fX&szg~@)LkcQ>36e)je%U)7n
zO|C1Ahv4fD?Ga=@PAyw>MGa=kKaoVrSGt`1U;u|R(9DqiJICdpY{u}UWZV)dFIUU8
z>In0zDjp^Kap^`4@=h?V(chCf@Q}Mfp$F`CEUzdXj^_J5<_YWnaVRDGbMGI88wS9G
z0~<Dw{kGQu{MUlua_+WGDe$g{%75Xo<&@p&IN0gTaivID<e9)(vS0Uddh*_N_^W$O
zeFS`b)c;c=oHuc?ISPI<w9PCF4)CMj843qa=O^BPIm26dufQvoN;G%it9L%U^n%CQ
zP5g@CK>E}kAGrDM{LDjGTIbf~v+$dUHJd8fmC7*O8RmYQ`lb=Kwbqw0hgC$<wOZgF
z_caAecwr2GnGI$bvsOL~4_9TL?S<FrXw|e~-M0z@LofyRG0i=&Z{6j{armgktgZ~4
zevo%%2EJNS`AY!4?egXP0^F>A@~;pqaw=+c8CH0>^)4&?X<5_wFKm1>zmyGbG5p+0
z^BM1(h#6SW!9orx%JlGz+l1{V*j#dd2@~APc4h0T5zb%P0RIlyt$Z8v8ay&}DTxQZ
z=$qd-2Ok+=q7#HWoW!3m!16)We&X<-qYwTYh3Uo*&P&6el4LKA!&-||Hj1!vO0i%s
z?A~G3cL07MBP!YtZ_wGObr=>rnb`jvJ{SMr6J40$@Rp%A*eHNY!T|o&rL^}c{G#>f
z86#NH{L#K9xJm5yJ4@Kco@U}9EW&jB=xKOW)AvgS{NMO$y)!K3TAN$|PwhV}a~@{S
z7t1V!1AQ0sec<jrTHkJwxE}L}FTD8g(NZp)K-F|S1TNb4F*gw|`@P&84*!wYDNKfo
zxr*ek!SmIoYq7A!p$7Ns@Oke>s(9FG==@kZ%=)pzECT+@63UqcH^}U<j)Lh$W#jTm
zJWReKgnZslqpbiQcgw5^gX1<VDVD+$w=)?7;gWMy7aqV}BI_)d;CYXV$!ge3^N))U
z{BFL1rxy0JvheVQ_qhIdy%~NHcbLl=X08mRX@{Tu&Et24>u&Awc@5h#CSJ6MAD!F#
zpa-^Koey+`UAw0Ehv0OE_dQlH@52d;55)Im-rK;7G3l?S;4?97Qf9Et)ufGI;IoY$
zvgWYXdmX=T@U!p}Q3kN<wCbZDaQ%s*YeulsqhCU+@XfW*$)m99&{yj<IMHTcS|2v!
z&U?M#3-ZA~N)KtnA1snL(ZPS}%#Y~7+=i6%>~P%Dt{e?G?#B0BoN$I!P{CpNu|ZLW
zAe<9;c=aIs>QPFsFq{;SL7@t7A3J(j3Z@IOG*N_Kn<-r01CQ(|vrvL%*5|(|!u3>c
z<uY)5>{~Hq*j>7zQVwP)zLu>4Kcc+2MH1d}{KDJA@WJP;Ow#b(NpT&0cs$7e>@HX*
zXKUyQ_|W_IbE5FSlGa5t;)@rX_+iE10!a(l#i^xD5N4#cxn&PG&be`O!5`<91{~q3
ze%jr9aHU&moe#`RQ53`u>)A#A@`X1pFNW@f^)1w$Lg1i{*WYi4ea>*?g~0-=A`?5{
zyD#FxlVPI=PZSy9q;b2(RCq4LK!X{cIruKG5PmuIA$>EPXj?pd7e1#gdUGrMzRf}Z
zA?z1XwzvVNrIe4XfNdNOuhYXl>cy_l;lDb~hE(vA2;YJ>I7+z4o(|^EDO?$aY20?!
zP{4~*UUC!geqP!RS~%J_FX}IRuHzifKSTV!#`DeV@XvuqvKtXE5;u(Io5uX7U~?3S
z$2;-12*As-_BTmfe&AoUCS1aMf04uwZ+Y3G1^a0AGH*e=>=m=SAN-|@)|m$WZ)~h6
z0Ja;jjM@e}z2Y`3g*n&#M@W6YKAVeu0LPF1N5cj`dDB(&73Q+Jc#51qi|pL-Ie2Wc
z{4zJ3ec`|L-80BX*WK)6h5cBx6~*CoKTReH_{zreosn=^?&dQ>Fq=`FQ8e7r>k_dC
z<~|p`UI#m+a1HN<do%168)5M?48KW#l&rk#F%93KE<Gv^S9V7he}&5))jP?<9-(dH
ztY0x-k<hCr{j)Ekkc%CTSmXP+9}b}kZ9M|-X3UT!-zPh5PjL+9s+&800FE$AP`n5S
z78%|q{e8E%m!}`>dB^5486QE1PPHY%=09raWnl$oWy%z|wf*Hz^8JVMc}z-SW-m_n
zy)dKizxW4m3uCZ9sh^C2+J$HE56jjrQojNjzLI8`_nr74DL+YVcfAkZ+3GAM1}`nB
zbiRe_d0y|Af=#M}OFqNiWgD)Ez%&mmK2O6}t*evB`BLlpYxV=a(fj2y886JkeThHe
zdG^dX0l3H0hh`17@qDhv3Ad%{sr-Xyk9lj8_G7p+SGI8$_p6w!EYg00qm9$_u!PRa
z9S*p|ljhY<_|h)+RVLWIx{sC{K1<g|!2<UwU-T7*DPDdwBK_@pn&!h@FkjLEThhNm
zwnwKZ!eYOVR*?SH=4afk1V`N{ZY1S@f6aWT2QTJ7WG3UQ+1g?D7#zKeiI<G81MPRa
ztzpgXZ5JrvXs!R~Ps3aGdR!vq4GJq~|AT4#&-SdL|8wsR6!C(8SxHZmc+(usTnenz
z#CC8U@nyG8k#x9L?3*DOf66k)=W5_>#T|ttK2XH6s}A-~U8*MIMRIK^pdT)|(7c6w
zKmI`A<9G1id>>IV{@y=+H%B>#`Ma4+5E*}l95;5+z_BL|B$K$#66?G$T+2KCnZ)-W
zAKJAWcA9Y6#(=n0qkx7z%uD^xp47+a+f1M%TrG!xKneR$nP^17%IBYVk@&nQPf!%B
zFT(bT#II|HYutnF{NnbL<Hg$@3o3#4RWF<%<FzOJfkro+BV>A;#7|}V2EBoOW;$v~
z+`jdl#v;7#F2G3I$Lr0lpe1-`eSrvRKL^@X4Yql#*DV(ONSvCkIfw&ZNER+5*WX$5
zzX6W0&dPBray{M7+wu4;e0`q~3+X?0|AIG#z`wJopOOCQY+nBQ65Qy;O05773UrkZ
z!GgQCn@Gd2jEla0fCVO0?veZ7!?j)fMhnP)O}U#H!ZH@BpHIRnVHy|7{kn7Q4No9!
z_b*h)5pF0QoAiUl@0uTUga1fO6lcN076mh2@T$mHj|`aJ*kR2do;mFB{2~1JcV%%X
zTy)7X<^e31vG(8!tf4vfw;DcFc+xr+K2Z3fsS@U2n{l}gyS#o=&<5|V(O^%9`_8tz
zK8HV@Pvyyk9bc$^cm*FE)A73t7oF#G?tsN+D6W>k{9iU79fVCMtz;j=0_%%R@8P1w
z#{E@r7rj&1DBN$#^SJ@0IHIRJ0yBh%&pm~yChDJjf)xy>GTULRW7)xzu+7brxt(y;
zg{?nk;h?t<^?P6?y3bWJaM~du<34z@)<kp>zB6`}Y8a097hm`W*Ep@wjlhw$8Mc4m
zM_#8Zr(l!Y&LYcj3&)4L&v1(8+q8f1?Ra&U1vorB*J=%}GHCYr4l|8y>E7@S`F<HO
zo<A@jPj50coXq?{h|I^o(jKJU0?S#k_fTQJ&VGLV1wCwTng5;!7MVPAa68<~xb^B5
z*uz_pdK<h+@<uEJT<sg}#SR-Ep;Ouc?~qeh+5uNZzdFVRGr9kFO&YGxP+b*-i<|_E
zBw?TUOLV*8UfD1ERNzBLe?69lV^1gjRfZi5vg-E2qbWb#G~w^QEH3-u+__9yby)94
zgNHJ_t8C@=5!k(Px1RxwhohG?;H9XM%SN#Dvh>-bB;IWzN!Ck?<1G@T{NaEuC0n@f
zus@>(>~LQ13t4~NbfoV$gBy--T_EePdPh60({SkhnC$=Hkh0m$Hn8}8gZv95en2zm
zES%`sb0Prtf6$@s2<KZIa14RlBRf+s!P(3$+sS&-LrK>%5I*$UosX<HU$K8viG$zB
z|9zDVTdX_L#K1z6kB7*5mVRyX=PX!nSu2XHcYStTzMldAm&TBG8$K`36JHFAncdbT
z>+|x^7^5PXJ>cvq@_en#oeM?JU{}cv8=t`9dk5Vb;fH5tSsLKpRF4y{;k4FkP0!(2
z<2S5bu=tO#*B!9Ukp1rw_{Kl6OK;%5R}J;Ua1OUrEP0-}^TM&5Ir!H5f&Jw9(Qg@f
zj$dK<=^5=YnA%oS=P%rFGHdAz{H7*w>k7QuG|EJtKlezC?BV>5_w7$-H<IT^6J=kg
zallh?TZSo+-<fcDZK({eobHXHgH?`g6W9;Owrk#EfSEkny$#^CU0&a5VO^J)2S#w;
zt2=_Muu`>DM?C!3tKNGn{5b9>bt3%fWn%^#Y^1b9sSXwhsL|$yYf|+7)xdKry#w0t
z4W`5I?0(?-_cL8w70y`{*zO4HUEtQ$fk#IN-(H1#FZX7W_}kiQrYJbcEb}hOPdzJV
z{+R)fQs}H6fGIN;q_W{idmknZ_@L&+(8uts9lO0Uyi>}cz6!SWuMQ^hb8IxB1299Z
zUJr>Ytc=tR!G<NBTaUsGtg>3Xi`YMUcCyY8<_kWtnHydk?&vuMQ*%DI-Um}pnuU;j
zTHmuFK{<G*yZ0?;_*mSzFUIh438VghFq3~ki6Kn;k2mZxTzSgo`8C*Z<b2;n_@k&P
zMFM<BD{mqIR_aO_&xJdmevu>jy_(_}?%VL>7H&;nI7p}SUj^LFZ;|2w8}DsUs)CD8
zUcXJs$F%?DYKM<dwl1B6AJ)&CcEY19e`!d4EcGRohF}pJQ4><%x5v4?KftVW%~r0k
zaqodoQ}Du$*;0GBWJZ+#3%pI4ui-3A<K#^J2lo7Th|w0#k1<kNg>R$`?689`hkKP#
z|3v<2|If4L@XrRznGNuk^CB0?^TPC^H(u_5Pv2K;C(jc%oe$f{0oQTReYAvs=}ef*
zz{g4$_87x<3GFFz@EF5OD{{V-$Ab@?g(-K}my-6V-R5-B87^<XJM0M0X0q^P!!u{X
zCCTw(%GS(o!V?B_hEA}+=#^{jFjH;iZBl=q$@3kZu%%U3?HSl(b3NB2{DmWS3(21b
zZ@**u3Fi2=$Vtve(A|Ok%docA-E$UjYu!_?Kd=<V_CQiT<=9V?O-nfbLc>c_n8|G*
zVGBI@+Ov<;_oc@o6)P+(yQ7!|wkfw@5rxlODlOjumyQR8?}e{q|5#kc_{}Ui>!Ad*
zm0Vu^1OHNv8&ij8|6`pShXoo^6Lew4xXhoEF!Q4ZDg*d{A$<h79*Ob}?XrS9<}P1*
z3ST_CF~bqA%+YxL|NLN*df0h*`d{fg@;rRHqUTQ^m}*L!BOH#Cx-fDX&Y>&fBl)_d
zJ$H^r!q)cnOdjxKCdz-;V9Eqm4o_Izf1gJhF`cWk3p}QuUz`EUym;nu4&JbLfHMzX
z;oJVq0cPOTFu4ss_B-2t2A=luYr7Atmp){-fi-<bDa+svo>oorKGKk=z}+!8u5UHj
z9yVZznV5hngH)cm!@nt>Meq29^Y_S_$qCNr6o1YRi{{wxBlSBJBD|^&x3(F6@`H0e
zKYpqTPf)eYk^9Z<b5nbDVd|8}H^N~5RgYyYm_jV?KKcEvc`pY{;rr*(ElEBz-QM7q
zF`U}U;*bCjhhN%e4cA@R!jb{+bpO|H0qZZsac04~JYw1o@E6*M7kTi!^qnnsFdcX5
z;2qdo{P(;kEI5@EP4dT^+|O5dz|-35xg>wgGBUm~8jdYd`cCdolR@t4vGCph!WkdK
z9?v&!EQNPYoVOwQ;y+f&Y7gM8AJfm5!-Jt81)ss*U;G;G!os^;tefFat+!v1@)xuo
ztM<V%PC?wHK7PLr2E2tk%(n{{!KKgaXGdV+!6`3t|6IB{EiwjgZe_Sa?w@YS^7KDo
zsSg9a<b4Y_#~O{F@Wr=oLnPn)xbS1eUpVuHtautc7iYV$4!>zJS0d-<MpVfg#%1j9
zoMewC`Q?ZJi7ngV=#%#nNPhW;oMF&T_(+}o7`flmALy>)g3FpBzmfA#DZ-s82~$2-
zRE>t)71R2pNxa1R_%-+>_f(}S9IQ=y>ndEUZ1r6o_S`O6O3DxHyw__8Kh$`+77BmW
z<YzE}C%!FiA?=^b<Noaoe5oedlDv;;Y&0R}4C|X8xj@Fts;TLvP`Ktoe^U_rGQP9=
z3hX4WFh=5{x^_W#;AOK%doIBle*INNaPr?)lSp`QJ$9}K_L<moCm8nPq1@dMKd-4A
zBK4m+_4ClS-`G!hyHT9fr`_1qe>?n2wMLip$8Ww1DsphvnbmX>4{<x=w-5IAuCF5T
zU%8(Sn!!hIf1@SGQ;xUtHHV*@HVa>edHM$q1j5eopS?(&tM<gjOK`|Hx_haxry@^$
z4a{iCvO?;!xRTaU3#&~|@sa+%w!-&s3f{`}(Veu%#Qm)OUtq47bC*f`N&kDz`3HV`
z%&LpD-|aeGlU3Nh`0EE!e%q$Yid+65Ur5y_LE2+`?~*42>{5{_7Yk=T-Zr@dem5Ny
zb_I@2y28T&Tkp|`A?+#o?N&TLd{do&kepxoiEW*NusqMy7&)J<H4@4au=>`9J!Jex
zKg;x%f~SIl70LLw+Ftc(A6%nr6hY>rw9*3n`(gXztnuFPuRkh@YVgYP#0NL{l6c`u
z4Y(jNe~MgxB0X9T9)(xg+~l0#g-TIheK=oR`~bNgvifLGo51CF7ozRpQ*Z7Ho`O%D
zzn@61hnbt&lTX9UC9Y#+e*M^gSGPU+JngP&Yw~$1E!A@{tH79oDNOSy&;LA}v@Pq<
zDL7>G*;gO9l<vf}ld!r!r-&cS5=)nA2!G^PP78tiZL!M;pMRb3CJg5GbDup1i~J~8
zkA*LZ?Nru+LmzJlx(3hMMjSZ;H+pE<+=6ooMKjc4zeDL6x$x8HA9FO}_4n1AieZ}R
zz=Z?w<+_cB@57AZU)EJ&)3ds}>fxw~z+?MiX_M5`jj;Ph8DnKQ>}*v}8+<PNS-vdH
z<x07=6XrDbz9$c-{Svs;1E;k9`y&a@GPqRt!M6^cp_hRxZ<J(C!Qz@<OvPaHXFvKr
z!=Y4JHWF}g3yan_IADscR0yV7GYS3y$0~L_7J)<j{l2fj^UJC<yl_NYwfGwR_~W<D
z{IF!>Q1*rutp5V+%{kyteC+Qw!f_{>oVnrck=8Zruv~~lH7mS%DSdG#yr2-<M#@*4
ze(V>A9oObqx5M+@Y}=&ZrWAc)vfksDvi_k0FE12cV1Sd$lO@#PZ_e~#r2LW1LktG+
z8#D7ao8Vs=jJif}aQdc!E$|yE*(a88hP}zI4KVv1ho9E4(U-^j=;7vtdvD$0HSIrF
zC}EYGL)$!I)zVYRq<r{<z+x!ul$SidhV`uUjT4gLu++@bcT%2tB#ki@Zt~o%x<b~w
zdCj`%Fm-nH@pahy<0gr_@M3kvjbHGEGPyJN;F4yx5>o!&=K!5L__Npk)gN$IQ+{Xz
z{2_3LY6)J<Y+G!FcWl~tat_Xoo|Wu?rForf$@-h}k=(XHI88OMbQ*qDVtQm4esoNt
z@+-V)J)m|H-lC^WGYOk+&0hKh+qh&he}U(Pr`|2YovS&gM`1%%>g_A=>eds^<8T?>
z?l7uV%<lqDRt>_}6g28-;PTt0tt5ZorW$vP6<#bTWO)bM_}>{|gGK6%xd!0LCohih
z!3Q#RUEaXD^y60q;I_lR{_BMqTQ>d@gYT|SHohR`ML73J!uQM%c6Y-!S<Y@(fvpP#
zxk>&bAk_D$D*W2CTZrU8ydK}I*MZf7A9yywwF)K6N8ptfbN?3j_hhe=AuQ6due}b=
z5BQj83=8Ic>?Zk^-TAaE)-ZKwB{#{(?9*q|w}lTbSP9p_{}%Q&I>E1sr7x7j?qvu5
zxWH>sL7^m{qv{$v6aWhjXuT%+o?`jyte0SBy}5T~aQX4-t5@Mc?{eWH*i)+JX(aqR
zz(lebe%>^;Hvu*eWev!KKRo{Engr)_)r8)L16t@lWWky1p0Bgv$rsdYH(@$S*7rBz
zZX?OaJ8;5Ghj1Dk=^@-y1oM=*NM^wG7mmx8!}3}?0}|lod`-7U@XK!V=oC0uAmexo
zEcci4eH`p$6&uwGD>dhSjE5KASFUuy0xvWqBVq2{g>r9T1(9*NXn2Xcr(gh1rN10X
z@@ozujUR{Ls^6T^B)=B>edfd@998w`T_CLN+#mf37R;Re6bw&2lW<#x*=Gaf{9tEI
z*1|t<%ty8Z0q}x^8avfr+>f^8MO}c4n?($0V58&%3Eps+h+*><c<YU4BW|$w8~HT`
z*t6RFlRKPWYImLuzM4HK>jbyCsTXm;!+M^|F0k%%cMbvg@aDNlJNQ=mQ9~g(Qa|jv
z1MKDE-y#94PXGR32``>BT9<++E(p!p!VKphj2?mmaubwJ!AET)cdEnvUqsX`;N;@U
zm?LoM_iOPazxn4u%=4r0)JuUhV>r$G$v$Iv^+EXLF_`yytcNK~&&NJ{9A@vX9kYQ=
zK6>xhfuF8LbK1cQ<Fsl=V8*H^u`Y0Bpv^UPxaZH+)^o4}^FoRyd|9$e!5elLNZun4
zSN}eI&kwew;Z;<Cjc;7!3WX<pUBji}R$(QRD{%b$&)B_iz2>>LSU9~rWS0P}ko8$9
z0e1AHl@@}z#X0Y1kk3EW3gm(X{`5{|!PcyuVLY${HJ#~gSTk0IhY?<ybnh&JTgB^z
znMirt0_Ad8J4f&-$^WO_{#W`KZiv3oMh%x<-^bSgzx}&(`X}=1OA290P4FHWSLa{w
z@8nvV7qF07LghTHyV*+R6->v!q2U``G@eq{57%oQHXDNzSh@uUVJGtnn+bTxl0JEy
zeBQk4{t)cWp8IMN)}uU7@d0KV8d8~q{RZvzyI{98%7@?Kqc2|?zlK*k4+^fpbp?ZY
z?Qs2z7nXnF6*2YVPPoXAu8U?3=lkQ4<tAABTGGaiFxBq|>n(6*<!fI?_(Vj7UOmkG
z(d;1;Y$nTL*a)|TqzdkYuiaqFse(BgIIXzgpTquzHL&Q=sV*USI@(pO816|oR}+Pw
zvUKX)hdV_wAMS+%%<58Z!#j#tXJz4A-W)gXz+MlGtq#Dl$+R;!;kd(HsVZ=errq}(
zSihZtP8(LV*b|cgTPghV*Mk>~BNCHfDsjbGLwN3()5jQio~BUP1Rfcx{}czWcuuEU
z!*@zEWUs<Sw#Kh*;TPR=N|EqR-E=i)*es|eA{dT5LK)x+m+WPW4}~pDG-ofsD>Yw+
z{Nbxj#lk+YAEnYnApHE+eCj1Q#DR8?H=Ngg@^vsQc*sQIBCNxgsul&02XbF=hes@b
z`NzOHa&?Ip;E5}jt+L_o)Bzt|;i4BGQg6Z=$2vZ_!F1UIbcOK0=rGwcaNw^XwY%^&
zZ9a7um|`29&=V35eRItY&h|QORR;_6xZfb<-$j2t^a@^^VVkjrGybUib;I9X=_nlG
zZx&3izQE(b1xKx5(-&uHzrw`{Iu@tl`SEXGR^hh_9|}*wUY3Ui*5O0b{q;8Rvg&pp
zwsnl3ch;NCVD?(aG7h-HY9ogwEY~-eAO?30M>rb6o@R$$NWf3k_Ii=>&ga`o4#MwG
z-hFxkZuq<7^C8$Ne67s@me8~?(}8>4Jy`T$mQRHVM_|qYHo@cY(A*v`3sT-F)Lk3y
z%?K#5BJt>cA6<B_`BR=V@ZFC}&1!Ht2c4M{EPQPA&0*MvIZ??E4v;;_qXN$izq=3s
ztGLDstHR1VxTnJ4cJa^uDZ+Y-Hau71lQ*J+55QkXW+>9&tMdad<>0^1#g#H(?cL&i
z`(S<F|L*0&IfmYR((tfn*<?Pvy<>;8EF5@3xvc_Ty<!$14$~W7q^N=mpB9Bm!sfyC
z|24t|CR1I)uyy*c;%6|W>AOi%{xfUG`XJmd`#+BEJD#flj{~^bu=k9}US*V&uWVTf
zA=$|;G76z+$S5HrL`Y>M6)HPhvPWdEL{<_F8Nb*0{rP;n-}m^O^Eu~p-tTkob$7`K
z!cO~16-MCLv!X-9@r%;xbx7aF^T`@&5#soDJ?4Fs3Cr2sbtC5c=Wem&ML0>@@U1Bv
zx!=G0JAB^Qrh%Ams<GK(5)yqC*;Y<QVtbEh<(J6d!eUWAGa|qIStm2xTsd^!0Onl%
zv6~HEzBL~}<ol=FF9^e$Jc*6E@W#Y*Au+h?I#0VkY<KBPq73ZxvzC*X4~387opP{C
zRi`L1e;zKWg&OeQ_wJX7`IG-JKCcBw3#|sK!&JST)+b^A?K@41@SfwAiAHe1ABGMk
zIIAswrv)7IJd2B%kM&bMDpv5>^n9_SaPXj(fII9xA%9sGu5!C+brJq=xGad6&l<PN
zHb2<yxAF%`ScUHQjsW=Gt=f+L@b7RL{~Pd@zZ$m)T&V2w`WD=jRJTtI=0B9RFAC;&
zI_AL-vuyWSM#C1_%2$c`^gVatSO$EZyzm1LtZ_Kl?=id}DBHOgR(Mu6n+LO5q;qq?
z|3!V{e*rJi@(OUlGrmG`Z(xo+w>_9(4lkqDckmf|a$gqs#-}KyYWS*-Qw<F~G5OZF
z7UthK`GF3msQo$f5mua3X4wfxOmgzK!GGfA1*l<Xu6XiM_{r2A4|4d8M#+EU@Vm+#
zzLc<g+S-d*SZCU-X44q`>>%6B9Q@j-^TRfLy1>NzCoE{p&GHAH+47EEg9i=cxYuF6
z6R*j(U@`Flrxm#4RjVQislJMM`ALsexc&<Di(T+Z_n6WJ`0ld6S1LF@Cg{U5%(apE
zfg5J(DrWu$KL{!z<%NyTiF41xGVgzT3&V*))=pD!jWKn;C`_N(<vtDbGU)Nhz?^a0
zB_nX<TT3%JSZ3sF(*!L1d`Lk9zF<wmJP3PP&UtCUJ8lMZ4Z}hA#itD5wV`y!Ubw?l
zevc7c7RTt`2WRf|i#h|FH%OMW!|Nl#jh68IA^N6n*tDE9_X3=_#?RCO8$R4M=>gjo
z+~;hA2O4!w`N6qb84e9_cj<|{S75o)5T9oFX=JBIB<wL3T2%upgmq`%g>w!#w-Ncj
zOid%x;F_s(998f>E7Q7k*pQ}oZ#C>d^59?&{3EHwtppC`jCaq27v}P=RKPt$?1tq;
zK4nUMF?@52DWVddK8P=F!Ch5}=iA}G!*;x{VTSqWC!Mh1oT}6t*d~`bYyuwG%jf?B
zmKdX|o`UzaT)tNX|9juTyb0e^*B*EdudFrbZ^NDq`)6Om?@P1~Fpy#XTmH!Az(@Z4
z=fVWPerl#u08iMGR7k+PmssMT!J+9tSEb<WFC<xc@E@nk{l{SKvbT$mVXjwB461Nr
z-5!cuxciZ)g9V&5)M$_ibIx+4S;1RPa*o+>jorZVWq6gp`(-*Tn)gA>AMQ$NXd~kN
zc8yEPaNfKLM+Quj`9>raP7*iHsE6OJ4f7l%$NIQ$%d{2#Y&HBv24>(=2_nvqSe_{^
zEBN+{b(vB4cl*G^8Q8*rUgrz!SnqMj2af&PwMCrI0WWMeJYfg(_dLY)p^?W`b002M
ziR$?WALu0ukAX#6hUZ9eeSRJY8_I<ZN(wV}!zUG8A7{g5oBFS4VeQz;TP3jB6A>p?
zn3g|T?=2iO_v|V+tii*W-T{A4h>#P21HVi=w!uEP1@wsZP42N-=~uW;o{m%oZq5)4
z`2w4tf5CSIZZUqPv4cWiW#fESA8|kJi1nqWfJb!wm$cwrw*59du!o`V6XO1H{8OS3
zH~iv|Ln~1q{P#l4QWKW#_q<^Tw_h0NSBF_=E6P0Jb1V0cT!VWnMm>FDd0J(XAb49u
zLMazc*)v6Tl2Tu#e(CM)On8&;q=pgf$oTWaYgof4tu-D#`Ouz;s9(qRXm>n-N6)S*
z7Q+cva*8!D*L|Z<qMp?ed~&G{{v2-ot^}^lY2x|?Q!+m#A-4C{?5N2f_&~t8Y$eRD
zY`iYMLto{SHB-<V_)JfuoD^Iuf3=_n-pSW9U<<qYB>yJr>6{cDW_#FiXEi@jpI4mI
z)4mJ$&NjPMz*%jz*YCkwt%-Mu__D)$%~!BQdh916zTPMwTnO_Xy7-%j2L~Te?}gic
zTc{A@c|Gtfs1I&c*0FDZ6N(<H{DB)+gq{=eMM~y?b(nQgu#Jctky0Gnvr}J%CuW7U
z3hvVj^y7s|mB<tt;Q<#HMHP6YqdJ6$$2=dqqz0!Pn0QRYP3Jx+IKZ@pG4n)RRR~|*
zfxp$)&^Ez~p+fTEaGAWl8PRXhl%`&cgnw^j`4jP4#cOi;@Vxb*8Y0f^ymq00$Unb4
zNR02e)$sc!SbLYR0I~hFaO1zt@LN&^C1U??P$}q7!KDMQLy6<_>F|rtX}Gs4Af4!k
zg0*5lZ^2^SvomFI+a*dS(p|WI#rFIqwkK@9@{<w%R)1ZU=zk<*9Hdy_xQ#c)<*=KN
z5xo%HzL)u75zPOlMq31abyz!}$TvzV5LbZfCR0~m!sSzY9FD@D2D>SV^J}bex0W7U
zK)cs~IKNi8eS=TH(UGNQ1+Zz$g=JHi@;*uWGq_u}Ps|(+%t+48fqSjnQtaS80o)47
z@aqeSw2tupwwEdo;bf}lYwoaF`dm2CFa3PI^zI_Obn|L#0vy~jBkB+54s*C&gNJlh
zdauE?C0XA8?}yqJHN#*#b3r{<#C3!||A>P7C9+SQhgq2W>=R*wzY9~Aut}ZWrxcil
z@%(}{{8zwED+_-8@o^AweRu93DanS5h4+LK^}aFLsMssGc~+)P8xGE9KUWBI_T_#e
z>cuC&IC{(A#}~?Yh<a~V!AaUm_{hApuqNE&Z*;8zK4|uzhZ5|r7W%FUrg3`hs|*i?
zhlzH=K2P6O9ftEAO3rq}5n2*W#QOAJxV(E1HnWhVC+fdymT%M}aMs;N>_q){#dslT
z8t%E2VoTJ2*~aW|XW&x`)GqtsoiyAc%kcOr=__H_idWrk1&-43DiMVpP95)Bhdl@F
zNr?Jy%I^ZzCahWAxr<m&<3+s!DR-kj6RI>M)>~Oy{2my5IaTZo4}9lNk`M#@_Y*@V
zu|A*deP_c2GmHl2vcpC}l^tC0$h`FrdU${Tz%Cw`Hniz4BRsY~c0~y0aekso1%Gz_
zTPOnC#nR{!^`O*F5<zMB<?%1E6tLoLHfvd!gj_FW2dtdQ(|#0=h~k;t!u`cTR%WLX
z{AJ+A90}sA%?kdS@UIf?fFFpPikr>pzzf<zH-5s?a<-PnuxFauN8<jqP3{_R0-vqQ
z>|TWbi}0qjhAn0G*%SA_Q!YV%XW{0AAh&VY-7aj_6+XVY^tTh1PQGd30Sl&TkoCZV
z6frHnFyGgl*gE)n;x(l}_;lCbWTO5#ap`WsO}KrBq1ank+|HdZ95y(VDnrySZLfl2
zV_?bT&|Sp+f1z6LzX$Ni%4UWvI5JT4MLKNZoHTO>o;y2y`WgH;r1yIi9CUm6Ljml+
z{pZ>>*#2A6(IS|~N;)hAt_~@9UJgHy>acc&$7>nPYT>}(Eywe)XuW9DM_8MKe9aQh
zp({}6fGJ-{ZCb<cZZzfg!+)Qq_Gl5W-@A5d6fQgPen=bc-(+a`3e#U?E|h^aJ$WxK
z!mk#k%H&{Ll<RA7LkEeDAYAGfVYCkajbSqqhL6kU){;@_t9<=^RD>Qb+`4{YH(dEb
z`v4<MBk*K|5&k8Wt-oS~>v3S_Jr`^nnQO8NciYg)2*A@*_r*tGQo)o#F*yBTl<XM1
z$W*H*3tJo;PAnnvRq33RV1=2cM`dte_|bk%xP#+q`9t`3TYHHCe9t+wE)7<_yd`!T
z4h=p$ehn@?W=?GfFZs~ShQO&>cY<7qeD634dpIsG&)N%iq_L)PfVcjQw_kzRf0T%7
z!arIXUfzJoW&EU%!=K}~`R>32o7wuJ@QImR(s+1i!ooxxPGgwyPK6Z{?L4VrmT9w7
zPvH&TUH-IioyUXv7qCqEWZaS=`iJ_~CvV})v)3Lj!xaS#Z13SPb4||y_-YPQRRet8
zf52}D9{gv1pdEf`<rr51i_D4A_rvvkODR=wRhoCm7#y)^@HQQmquFIQ3x}AtR%XIW
zdriBR;l+73z5B3_J(cPj{4{>bI39jJYhJhs^WQllaux2l+<u0F8uhGD-u_@%-*ImX
z4J`FpwBjNh7V-KhBb-<iU*`p1o+r=egaeHzjqG7jr*Ljw*wy`lxdR+=boj0?y!NYo
z+62y^KD8kZo1T(cG=nc0=eWzkZ9&6wCt=0`o2Q3h6&EE%BRKqFG21a%%W>+u4$Lj*
zVxR&udhARh@+E>?AD@B6GBZby!^%v11}$NR-Oh`8upVzy#RYh@`j4Cj%vRyI>H&ZJ
zE~u*u%RKPY4u{=G@?z9rKRJ<*NSK^VyMTyW`(4q@hlBd6R*CrcU1C=Y;E0Y4Q)`&5
zRqxmy8q9ay+(T3NJPCy_FPw9Bp_GUhYAY$Kz&rmFAtCnnqW7A&8Z2=22(Jx1@I_p~
z0hUv8bRgms6jK+S;D(1A0amcU%7?mO*ehmF4RQPi=tKTphjWMbcbdbwV;rOR;lCzY
zY{c=Rrfg?TfHwoq2odA4?Q{C`6rS>RIe!9nBIlCMfosBkcoWCZBF`!F73^sCuY@>$
zVzX=mg>a7#%?IN6Wfi_EuY;EwXz7UK$NtCWX9MitoxrLEXK?2`w8N^uV=a%tU0$bC
zJ7Je|65d39*XXh3Z}71S?vnrDAh~ZM3viXwfhHCB9obE)O}I~uo%RU4X(OSw4a@eG
z2q?qlwv34!wE8OCU*la5!&k~m+PGjAk^+B4crnrFl?2QjcfCpuR{r~IMhbp@`(YcA
z@6;dt@fiFn)rnaeKCUW9rV3BGUf*{R7UpmLVgwJ8X}CzjvG?8gn7|6U%hzOKFG*uh
zcQ~3YyIveNN?pmm2p>4r)UzMXi-?R2flofZ%qaphkc!pbfP+dBMJ3=v%hgZfV57+Y
zJOp6gi`K&lFk4*fWg(dJY3_+fu-IYuavnJ4pn7NqOs;YFBR}lOGwl2tE_4%Q;38b?
zlU_u`jWqW1!ZhhLH|pUd>pc!^aH!Jb(nff*bk&E*XAoCR?T7QG1524;lFs&?0a&z-
zx`qWVzQwIM2`^Vi?VyFF74w6>z+8U$tc-97zn1M9{NHaO%iXZYSa0HQ_)ABzJvF?G
zao;WyIvoFfVmah+z}O3AGI)Q)+n1CuRn)&%RIvREp|#DEc)oZ3)+`OY@c8w{HheXq
z`wT0*FPU5I54>>8JeD11<$0#F4%>@olkvgY(^Szbu)etX(S7iv-*JhnaG~Cn=i=~(
z*q=iSFss$yNlDoCHO2fgJj|Wcpakc(SxSF{ljPVomEonqsl)T|dY7YzHq6?5=;{<K
zzCQj`7k=qbacde5VUb}!1(yl#{x|~fIgx8%3O_cu*EI%vO#OXt4c{66#P%8Xmc01e
z7OqM<!#fC<9;<e7fkQSPp6iB1l4LX7;NNPz=X+sS;aiM8aFoC0t5#Ss=BM^$SpCHC
zyLR|;ie}kWIM;+_vk`vEQurenPJS0h(F_lzP@D^gn`0VvYT)xi9x0LV(sd1^IyhCN
zhB^+OlJrh2hi})4s3*V*`Acb)@GF(T;xu?clzr+AyfQyJpAHM|qhBe7tsHN+zk;vx
z9XMPF_p{GZ7Qr?tdB=)jPUipo%Ha!c4L9@QiBBm7m9VR~@|^;h|HSvbjqpAe)6QqG
z0-xUL4{#K(_E;X=duR2?0Nku<DwqYcI~jNl!Ll0d5>H`&i>%2hnCeKMXBteZxz70&
zzR`TbKOMGzbMnp-yb^6#`2d!Dl~ub8%RfKX`Vi)zJNcB9USEamrvhU<ypthwm>m9a
z^(99l9J~4J1P#pd;EDA;xQbpYln(y(Eat*}c++{sc`tlT_3G<LSo6AaIzJrTxKeT#
z-kwij5Qp!|4sPCp16jw9OTxD_4JgCl|2E`H55kl;rFDbhr9;=2<zdb&_A@u(XCab3
z$Km3$KhgqWw;C@hUHGGi!_%v<lTdS@G2tzRxy!JrFLjX#+?bsA!w)`Vc23Y57WsEY
z-V^qC_t?@F7M8HmyaZRR8Xxn7uh0raUVw+KVlI2bevji~Jz$}-*{=aGx0z|56YMA}
zz<U*@3OF?F2CKOBlH7xD7c7aLgG0X2D8#_tN;Wc%Fk8K2ZW6p-oypf4_CED+JO!S$
z4Y_Iyv*)cEWx?a}2Wn5lkvbv~Phl}PsxC`d^wQw@w{TC*D^?RYmWw*81h)Rn!(#?V
zEIF{$z=ufRpEZCfpWfH2gK0&RJdI)Fk6QbC;eambH@a|Tn73meTsM(gp%1eTwDyg{
z23FFfnsCIkHQEU{)^{g^4*Z}oZ}|tD;C0_b6<$l}5?O`Y&$*o=^3y7BQ&BSLs~jC$
z$X0@<lAf#XgwN$Rye0A_tLy|hV8N%#|Bk>W88<Dt;3LO5sgA*#9~6#Bz{lz$4dh|{
z*JmzE!H1O`t&hTULv-fHVD}^KnX+(qi&V4<EcNqf?m>7oJ)A@b)~$ZDC<&LQKRK)i
zYfJfUNW*#!7F<?vKtQ*O7`)wb$;bvSk~*d>0f+N+);hrzdhvG!V9|p!e_i0@=WY*0
z;3|_x!&l%`oszM=u#|TZa}ca>J$i}Ak4|v=br%*$@0HyHH<w<OiiZ6Q@>TiZUt<Ru
zGKhTrZ=oFUKPs)`kKwzWCQ)4Q@Ni~H9=v_*ZWj|=$NuVjKD?-6Kh6fTA93lfgt-sI
z3ev+B0he}H!v(us<e1^_k0cj5;Tyj9{HWp6Gx7pG@Qm%>YqYSELR|b1Z2E|+juO5S
zlhQH*>$`pL+6^zgJXNp+9~a%lMg~vPota*STUtg0cfcw#Odm)YQE%>Ea@jJ#d?d1N
zlf!zq>ivj(<%;$R7FblZwR|1%N1~k^>~IzpQ#T3X<WkcYq~YQ<TDHH4|4E$Al7%ye
zzX@)_<E?48)!`+r5tlXirc!F9CTvDo=11gv`<i5!!R<>=%74Ihi-!H?@b!;Obw6Ql
zofq0?VZB>_b}YccozH^L!Osr%ur9+%6n6HP;A`%$&dkEv_fIGL!pduRT!{RhW`>|J
znB|3C{ug+k&5oi7_#ll^Ig#I%^gba4URB$@Jr0-36}6_q?vtlkXW$FwANbzF1zH?u
z#^8zNvePB-O~!TSDLDK;pQFw2_0`wUhv2xOb6zd*-8Z{xC*Z+kzlJYxYeO;RAnYdZ
zyzv!2v+<B+6qbtP9s3PS-BC90gHOuSu&opM?vFf%VcUDWZp=*RSH$ECdttHz)S0aC
z!ra3T#P;a->{;7S#Ct?&dSKbIosu$emQVb?0oeFI_7Gi|GlIpb3ts6beWwo_nowQ-
z1hd$`O}2*r&0H^OgO5_AciO_&vVHrAc>Td0iPvFLwlU6j*s^7*^(K7T*iM=l4?FET
zUmC2vSmDzO@6Vh#oen2Zy5$h#dv^G^*B~4n`eMEt7JDj_GYpf8OzkF)S3_ci`xd<O
zI{OJ?{2%}LJRxD$SJ7y)K2OAp_Iz;N2k-fJqkxDj`V?je!Y*G2T8a3BW-=!&xbNq8
zdSW~|EQ_hyaBpa$5;33G$wo8+;mi+-A)jGs>E^(z@P4Z+4~XNhn^4)22-AIZA0&={
zV0F%pWVn!j>kkpntDkQvgI!#v6#HTCFMVW{u%6Q`3*vmp=4Sga3a5rzq!DpaY0~X+
zIG2ffWf6WZWIUq8g7IXz_z~L^?vc?`gTL+P3ns>wK!2@57j{g)NI}ex42_}qN%*V7
zzW>jsMn&4g({MrYx!5|ymv`Flwu0{zGbT5{&m>+4IKXj=`9qcP#D#mWonVd+=2P$C
zeYB(dF2c1uOF|{^6YG*QUhtfJvQ!y-DPUL271%4|U11(9Zd{~r4et19U6v20O;Y6D
zhI4n$Y&?NmT|bS7!^tyuD6$FriWtYjlppDjr^5$n*TUoAoAN~lnQ&d=@%4vr(2PuM
zGJNhoCYeV>e7q;=A$(KK@$oa5%<jZc9BlSm5?=wv^)tOVnE;aqgy_D8qvh;{?!nZ@
zG_M!INt&cmG4OGv<dt%m!`|~^I2_1eDOLq1lhFA^!uoe#rZmF$=lx1=z}X%iT_4~u
zHkO)OFtu}?S{HmaZ%FepEMkB7)hAe%-sglLEZH8#KMK>8bVgr<XTGYLkHc!YP7l1`
zkdEZ$SvZ34{eUZc`nMj*Jk0gz)WmuChE<l=Pq<;~nScZA8)uxe2ESfBBH;udxtzzj
z1-HoezBGf4Ik#_<v0^*{_V3K$w;twysNj~Xxql7e!J*Clv~b=DdD2sG=Zn)Btgy>o
ze|0^WQhdFS9gYel*E<2<_czhzgNud(I+S3#?C3Xwu%$O?zcPH(bzWEs7B6(Ol!i;D
zIpSqtwd)J^vhZzgU&^EK+w|iz`{3Wx3EszGshs*HLD)8WbxMoKf6C~?3ctwSVWbCB
z&O`*T!v*zDwWo;J*M8XA3D=6BKVS|QD*d;E3O-xjnqde3`+XsD{RGyBi*>Y)Fn|6~
z>;`P@BOL5b#5J~97vZK$^!O?f?zgfoJm2BC1t04GI5RgWa|{ksJo)h&Jkc?cGXc*C
zzflZ>KMBoBcEcuhH*)U4J43Y(_QJ>a&2h%V!KErC^)MSv-t8p#zESG?MmTkp=}!i1
zR?6NH4$u6$npX%nKCtMEgrDwM;x32RPL}O;fLYpqi8sPG-Is)&U~2jEsqHX%1D&Tb
zEU=IL`2c*H|Dc~LtU4LJXA-tLW_)cQ{C1^pbq;ovybvk~ld_z0`U$%-+TNvvj|AEt
z+kls1+~an_*_)#;DcDe71WgW&>*Mpljt?v8VTYrWlauha^4<d+@Z=%CZ*_3*>t{Ro
zVbxpbmm6S#MJazV__4qfpSSP@{^2Pp_+@TfKncv=>0l}kkBC%l=D-eylr=};u<0C%
z=kR&&XjyeQSgj%KA)I?`-=pJj@!{w9(qPKo7xad(mrp6<J(zbvHqZp-%}C*hfj_Ul
zU$BBRQ@Jg|Ve*Gp_u0bQCjaarVO>7zcxO18>c><7+?o-zeIAbc+cFmfyCqY5U4o5^
zR3tCM<v#D9`NAqvTylQ!_gMpuV0f@N;?hMpvTOUqbvVEDY@ioxTo?U50_LV~t#E~<
z%aqpcz#Wes*PVy&incq&!*sPfDIMTEsVk|8aN(ySCKuQ_A|*H*rt)Dhv4cb7)ZgU7
zYrm!~?BOpVy~2esy}eSZ1$-<yz^WLgvzf`Yfhm8cDmTEw>hkku@M#9s%T4g1a;g<`
zxGt#sYX`jLZX#y{>*V<C=_caF8!D!-6v>0_NqFp<(v1`FV`=$A)9?qU#55vaP8#@c
z2RrJ0#}A`KJV%gAW;e|LCw=-PY|8umF(WK@!t2Rt_$dXoJ3YLX^!>dp{9RW|P6l4E
zX}#tQhqyo5+z;RSayf-Ko=)=Zb%yX|Zksd2@#ah5y=MSF9XaZ86&|})Ht7r($Vf<q
z!oh45FC1Z=`h9A5;46Jeq`~mTL)@fs@IuN^OAtJsB*m5tQ%Sh;CBhOS`#)vCs{5YK
z#lhdsC=Ne{11m(VQehiwrH6U2P_K<}3cOHz@^L<VdUNc-V>n##)Y)R#=Ma;91}v?2
z>mqS}Ka^n9d=1aty}Q2}){Ii3e+kncetxJHK4?)M@(!L}EM9Gfb%rN(-w?jNMb-{a
za1Kc|!reP)Yd^uB4I97f;Mh8c&H?zY<d4B#IF80YdIF9irG45BA6gtqn}&t&Z-!05
zy4!13i*Qm5v+)GX%XGluJN!~SvhEwKn5-@E8@{6RFlq+gB5#uU2mi+(>iGv2F_~T_
z!+PN48guj)EH>q}y#o$+^X1vef%Ro0zKRasF&sEU0oT1e(8dG@?y&jD3U9=ozRLyc
zWLn2F!?90JKjwooo%3cT;V)TXXGP)SgIR^*aI1})rzC7z8I+(13yJt0I0$DIU9>#{
zr)Xwt9)<UYy(}_@nIyhYsKN0sA6_+t4VJ2ywctaE7wpc$&8Z|kC*ZCbV{uzpDfHWf
z5ghk>FRdqBws9cy46Nf#((evC2pcT8!(+Zf8ny5)$FGvadb>M|BCsA7_!FUi0e)&C
z+%W>DTd>_C)@P%u29)E(>szW*+~Bki9%uf-aYm{`_V9<rgy?_ph4$NjiMT=tvndZJ
z`V)aaN6x_{$w%+(g^!Lzsyf1kb;%nd@W-uR*RA2xbCt5<u&R1^ge{yJ%kxAQ{wMvt
z`7}J(cx><>?D~>nz!DZu*s9QkKeJrqG=Zx+czzy-n+>-4%;1l|t~waP#v$fs4d7_y
zloVrFMRUf*5PmSVPHhQ~s43=Z!*`Cds9D2YwWmw;VJEUaK@V8#aMm9UILBtu!V`}E
zAx&}|zIMZ))gP{r^;044PhS`8$pYagsj(;3VYgzT={vBtX-Bjo%q6J6eGi_An|nm$
zoBmked<4(e?HxM|YdBFK%!CI<^1mK|duZIB=EBVb!@{!gXmr5PbNDmauS4>Lt&UYy
zz%;%*zWZUpX`R(7STr>Esx<t7I^VGgK3d;WNt}PHnZ*yAVG$d%265O;lbyC3W^nbP
z6o5y*?NRTATcS2-gkUqOkm6xD%z@<u58PLAV{R0tVo5dG3!7SewVZ+D-WJ5O!;@TJ
zW52<lmk*|L!mfvO$yZ<rTeV?Ec$@tAkyThquxW}JzWeZb-Uh5@(;+|ui~2tu--0(@
z7)ub>Tj^aY<DFdiJXDeCdE$CJ<3}348&<m4@4XBDz03J8Biv&9sgMMYC$&7l0)MGD
zEhDaH1%{f8J+O$q!TLI`_fKqveZ25Dqc+k__{L)nZ4vmCM&Wg0{fL}gE|P$UTqPrj
z^}~G9T<9RYRmIUf16OgYSjxkDFUEF$gOihTT93hpyQ~cdVfJJ03hFS~yROs2Fx!Ft
zTs_$9M|6KHOvQVT)e!Eb*&Zd<KdGC4Z=1u5l%IK<;GfK$6&7&&b4_7ly%hYVxc?kn
zZaV+86h5jumh233$e6q+ha)odsXgK2Me~xxdi_Od()SWfSAX(g0c^I*Xf_C5w`0BZ
zjClPr8*eZyyx|u})FXw5Z%2p08H>Nxli-OXyZ+sQxvEUah<YSw&Hq9?oW(?^M%-U2
z=?^_lguUF|bQ0im+RvENVgD%Jh$#4ir>#yVoZx*WCK}!=+*OtfOSpZa4}mY|91$*n
zJ#I;`-+;Bd^B=s0xlOJldc(nKJITvo@2rn$m*De?L6_=a3g`197htY3!Mp}IMy33V
z2h9E{nY$h44_-b;+;2lECT@4b&!QC1pM_K7PX8H%6`$D85%>Qp>ezE*@Y9)`AE)32
zy4{~<h<IO(rv{wYaZqIe_BSB+*MgU{3SO_m9+?sEj=`!b$}_*<%B<!p6*%c&srfd%
zvsQOY0gh5UevgzJ?^hT^P%6Sd@@uwt!~dxT-;#h|FZ8(4!Rq9tcckF`-6x0H;P%f_
zEkf`zRWBna+$rGHEdmF*8{XuHGwVMw^1+{qx=IA#lw=yteXxI=fw&~>bbsst6a3le
zc!D(i<soA_3w-x!!;T~H(9cVwH1K^MrT-LRm9VGNbg<=8`3rT}J&#;yCp_&VJ*5f1
zX_A%P4cFDYG%<jg-`+V-3V$-;k2Hi8tV_Mg;g5SW|Cz&omu-Ih)I)#o7vN+Kd$orB
zS%dxF{_A&yJG^=iFTqrS=V)DE*8YF^w>7wbAD+JE2`3y^zcvfY?$#~#hO^{dL+9Xg
zYOO+n@ZI)#@*#ML{ccP!-1LJ6KO=&Asezs>9G2kJ*8K!WesDV+3G+5O8}-9qR+e(^
z!&NO^9ZfK)#6#u>aBcoVUo-5{%omyt|Bd8ktA#nYyvj1+r)vj!>fsE|KN5NH*GD#1
z6>y=Y*4cdcP@M0%D){7TYj-j1omx3j04L?zDwV?d^_{b?VC}av1vPM%;F3r#93Uq7
zr4IJ&+ur{iRx2ttZH4VgIXtr9R=Ho1?QrFPqL-h-g-3%o`rxOsip6Pg^oL6PM+MYl
zzjeyf;d}bWvnJs0$>)y5z?#Wrv|r&n_uW<Q!$z^1!Amfu@}=NNSlBS2cp2ub3A%k3
zHf*32{tE{vTx+-myT%^2{0Eb3gtp#>-`uQgCEtV36WzW}9Sk#DuaNG5mAJ#0uETz<
z*L>(;3(;#vS76Sfyc`C&QtO6!Ae@$dn2QsB#e3<24;&b0caj_SYxI3|8Q#0OSS<io
zNE+;Mf*-KTONhd2JM{%zVEv!<snW1oqKv&A{Du8Xmn__|F6C+u7km4tE5ct+(dAgc
zK~JLnmEdaC-7l?R&!D|?nsAcimqioUp<H3FHe5A4vT6ojVQ7vqgio~;$(@8#t;QOR
z;rA`ij~c<<`#ld^!W_1GC93eF-}f_Z;nMrZ-mAkCN<z#ou>av*TZ-`QG8t_**kJW9
z#W8sKYJI6UTzRfaT^=sl*}ilMuFWmbRe+VX&)Qvu2d3O3q~Sed&I!RVb&*w!EZmy<
zZ$~)X_>QeZ9IjW{R*Zys7%2KA;iSO07x!WRu@V*`_^D+4WIX)6`U$rPob^T2Bn|#z
zVPdfte*aiFA|2MDmv9k)RpSgVyn?fNx}R~wr%m-U3*p%1iWfZaMAQURIULYzv%m^(
zSq&bqgkRgqt#iUp4Jakr;h7h$3QTY@|AuWRT+RAeiw!=)C89n7ALy42rGpRt;P#(_
z4H~{?5OL<+p2sM8P`?|vj1lpcE(f2TaN$>lRTkLbBmW0J*fOd>mKOdT#k#qVh;M`*
zXNEHcx{UsVzf^w@rG~dB>TVx{s~r2|=;2GE^R6f1+BAjko$#Bvp+`n=+pNUEZdkwl
zB7+4?IUmMO1_z~CYg)nj-tIy>;Pca=qVBNbZ1uS<T|9p(@v^=MQ>$cq5&4&Prl^F#
zX<{oc*AX`zy?OZt%+mhl?FM{Ei(@7duDve4whC{HZF5Hv@t52izu>*}@lgqIzogaC
z?{L$$U+n{Ub5c+B2P|w)doTm;6b}pj2EVXfa(N6lxn90K59=%68q9;A1wOBzf?w;{
z)4zb7)stGL;izYSLf*i7dz*KU!p)UEZ{ES(7mFFj;pqo%BGvFa)^UT+@Sk!ut6F$_
zso8W8HfJ7e`v{NQEXQ@jM>JlNwZW6spHq6_A&%phKEdVde?Pav_slqR`(dx?@v(N;
zGv_teIIQ$-gQp3eUkN!m2|ux#6l{i>YdLG?;35vX%u+b$c7gbJn5JqeyBzLl)=vEm
z>-%m^7s18qbX|Yp<4;Bw-oSbkxoTv*=m&&n#S7r&$n$;_@b++n%qzJ0!;Wt>@Z*H`
z7a6b><qcy-nEYCH@nhKG9dA7+98&yrB?Z=Z@BhOMy9-_Yn+hkTUUCzJi?rM?N5RR5
zhkHa}gKx?~(J<psfTj%0(koLI1`Ab-1<1kT+hjEn@R#uq^NR3F_~3s5@ZP~arYi8m
z>1XOe@UDxMjoPrPhUfbWFx?As=@YPP_u)nlnD6b=OjEeHvn}{E+?#Sq*$Os35_S6w
zJWI#<+5z4+-=(4k=RIsPI1evBe6OVeR|j}h`@n1e%xVw9{v&~6{_tMU-OciFj<n#z
z5IEe^<i=ijpe0Qq3~s903g?HnBDC|O;Xk{5DVX4<3|Z!QSR;a)ngu578NHPX`?|^3
zZ|LCs2^83u1*g>YeB6TfaCXN%hXa;t|LcVB2mWp=fzLlaBHs=_XH~a)1?NiHxMjny
zoKw%1!=v6a=bpkh-%frngo|p;EN;UgnfcX3e5c0uQ@7y7hf4-U@cX@`H14nimBoB1
zycTM`<2-yMJL$@6IFIe_bxSz5{^P_O*q`c1;2Ai2eTU}@SZ-onP7P-LB12OQ&y*HP
zsle$KZYjk0k5zko6@}MtUX&-sGjdgKTo~rxeo~(cD;Ccr(ZkwLZrTz1(`;69pO%Q%
zzFEp9Ucc{0_>wmE@1a2z5f>osy0HMib_~+bfv;_NDSm?ccaYB(z-Ozi5B0!>K2pBV
z;1l11B#L2=6+_LJ@Z)cOLWS@PYQG*LzQysm*$N(A|499wczxO5It!Se{A==Cc(n6W
zkUHUzn1hwD|LN<#s&KAEPA##&x11e+$iPCI1!BbUYYcoie*pGUtA9s~ccJ>46Ca!(
zRLV;nzaINaJ6^cavNb;+R*pXKhz*Y0r!r2AU(VSli3MJcHS!?FS4A`Pi3Tq5tIj0$
zw~R}=lM1%>>pYMFyBv8+OAZSK9X<CLZcA4u+dhuxx%*BB$HIrBE0ur4oQCCvaqt;l
zw}U_79Kqi98*s?ztk*nT7$8d)3a7p&KRXTQY8&Mf*8^=%<f9RIyEA9Z9WHWjv}}MM
z^e=|(f@99J^R~g-LzyN!U?=liWOeWX-IrX$SZ~DZYU@A3bFvOI1MulL>c#c2`(@Wy
zV*OlI^!06pADHpjRKan-Hys;cZUz2bPhrUvLD6=&n6bB)Sic$EBzcJKk<0fj$HF^8
zbjP~j4~$`z(J<Y?!S)uIH!Z^17gly!i0Oe(c^x@;33k5yH?#xxdVSRJ9Lz6CuH6s!
zht2Le3!AbrDiQf29p4lT;k*M(+k<drb^@gVT$_^g_cNSxCoxVF9={e}J`Rg|D%+{U
z?5Y{BhT)JB)gW1TJ}J)o3w$JfR$CgTTjp?|grAVl^@+e0Ogj(E!6$!3WeLHP%aLNU
z@U#AC86Mbu)Mx%XtlcNQ#RU)F4j3oq%aijE7Zt2AYw?(vPeZQWuf+ZTe&I;!4|s1-
z-=%G$z8EdB`3sXqc&l#0Www>4)?k`8KkEf}H%ScZCM-Y9C_V>^=_ODR`FbMkS_5#X
zt!*m_&aWDUmrVWe`X$Gj4a7$xi}yFe-kZWVDG-11NcUeItU4m)PvlqqKFMALe;fFE
zWEb2=`(=u#mlT9Ai;=;D&ht?ZV0=Ppem8vA_nJil9Kxygi4=CY5_;bUKC?cSNW_<Y
zIc&Y)zX~5b|KabaAL3M%hYN=FWr_2@g5o9ZK{#baqKTL<0TT_OJE+G$G0jmD^U1IC
z&^!w6kiGDgIKOV+G|abvMT7nmdJh*gr;S;`o9{DNOW_kd7bA%Nj`YA4lh-iUgEtjK
zfA>`7kH&L2wJz9+=pXeyeZH9mi+R0I-VeWDD87~n(?57FA`Bm0PpnLa;~c(Ph{A~;
zmPHBhpVQ^O?69Gp+Da5`b8<PC6ONu_nT>#ddDb-Sg74fT5xD{D-(UVi1-EW|=MRCu
z`}W@^gY)@E?EGQ%64EjXxT&to(iirSnmN9K{yO$-b&3bvc#kG<3%+@{Ea3ti7QeiU
z=*Mq{B{5sWhA*TpuEW_gDRh=_>IwSIA8@^g|6M)!LHE&fL_XV@n_)WeWm>Kui*TLM
zj50HPz*5?56LzO+&|rmS2Ty;X#CXI>uh&w-FXsQ-PmEu3?o888SZ%~Hg9+xSli5K6
zuLhm!VS&HO?xrS#`R9W)dEoZ+{O}bmykBQ-@SN!92b6=OR^fd|uJDM%T|K(33vkX3
zYeQl_lGeGqmS9qc@Y;iLvBf0)4D6}ox+V|H?kZ&Y20OARI4i>*2YpUWz~vj>DXQ=z
z7gh5q*x*z;jV`=qx0yHu-_i(B)`z>eKRz6Ri`cVYo4`urA%mabMwZ|&W^fI^{#ZYp
z=#Xz_3wt}hu=)U--!-l{2QT#boc#!w8eHFh0hTc1&8USPube#V0sm((^`suQE4kL=
z3*Xo&x$g~pRFUxr(a(DvSP*^(H!P?=zX`w4teH%QhvaXnN5ZLES7tKde#5tKi2nTz
zw-H|;eC6-{qBMBw_`2X#IN#Yx=o!5Dm~pQSZ1QIAdjb5#@Fl((gnH$=ko`OO-x#CS
z5jZ&Iw@ob^Tasa?2yc|hcYTDNb45P3Yogyf%^&v-o==Tv?}X2Ix>K&e3wedl55dl&
zHOoA>K54_^vgP3CBWJI%!hF8dO)oX@{?RV8_M>onYfH;(IR9~jiaH!vwi22G(<lA<
zqyt;cbVj7Y<;gDEM8EmV>+_~N>=@zXZ3{~q)2*L}?=>!Mo58INWg^0`Z_!{S(O)X>
zagq>)3)n5CiS@;QhD=~LoWLmdD-bU7%o3)CpLFND+=8q86vuz6qrak?*dY2xwZ5LI
zHTcM3=ZkT0CYw>(DBQ*zNS*@g=uTve!}qhueILV2_39SQuo>U)-MMgSYm0RYe4hPA
z&};Z;i}64?{Np{-*c&*Wq;I$q{wA7kR0ZS1I_3rNImUg(wJ^O(o8>F`*uqQU7C3z4
zaDN8;fJG>x17^PSdhju9cDDE*v0h&nrZbC!{hPUMhT*V@8)p(==J5Q^FYpMB#Dgf<
z(P)Tt23FI5loAbJzkA`*cUZt?k~IXrr&Hbc6P{@{<h%h#{xa6tfZbm$m<7PfbAAC^
za7e}(iy*j?nR;;t?nkdhLqA=BuL<d$q=t8CE`IiaKUI&_FvA63gV>zm!O`^<R#+`;
ziqjP?`W5ZS3*+A~pFRt#?afK#gY7wcEY86Xi<EYY!Pds+NtSTlSL34+u+6{nht_c9
z@7a7g_}{kTfGNy#=-<d8SX}DS@M$=>Hr9~ncbzvmxD4TFs?6&uaCN~I9%I;tMPXGN
zj??{ap$n5ZYY6GV3?T+K`mo#L(1TO3-%Qm*4fvw&^aoRzIdf0C7HoCms-g|NyEkn3
z82qXD<^?;rR6=b^4W2t%Y~%&+=zhYd2=9Mfa>EB^^CT5ig3kyUtp&mp6E<fL!Mh$9
z3txjtDasrU!)1x{Nw;B5Ri?)W;6A3g=5To2wJApq4!*zVWio8S#r{<SwxHu2e+akm
zd3}?DP3{#MKY^d8mJ18R_gM08K7;p)u!xJoY>ZmJ3SdW%GtPW)LFRuVui>7cS8n^@
zTCV=&QaB)bIhzYEfAjHUIXuj-^?VO({@hWi9v<5cnPq`r7@B!B!mYa`zH`7T6?ab&
z{chbEYe`1<zq5h2i26{s^YsB{_+UTV?+N(c!srER_||PQ(J%0yuQHyrFx8buDGTt8
z_A@Ui;XK)}mL=Fed#h+S%$W54)izu~%KL*9HZyuQL5liRa{S^dIeesE&4dcBqKuT;
zP{Vo`CLBuiyAPg8Dv%()x@hah0}mcMcKHwDoUc_M?uCD*PXrSAE4+ar(r{niT*)f@
zdcxwhEG*V~?>&)!_;h@tI-H^ty|E03b9y&v!uuo+lCQyyiO=)RU^;F|l|?w$JZ!`q
zuCM6Q`T?hnRM)z~TzhM7euEj)Q+^WlxKB`J)OVOc$y1N0*M0wFe4K$Derg91{pX<`
zy{>uKEAjf-BqClTO!oyop>KXa1vazlW|@U0e#iI`{aH=L6QglBHs3La=;uDs=UIM*
zBgl`EG{K1xo=Kzd#}~9R&F~d#{`5(B*;kWo5I&+aHZ%wq^06NuhP%8Lrityz3e7!Q
zgR^}f?HhnQ>dHEP!v!XVl4I~5x4ZbI2fTmpZSL9+M{Qb~GsCC;FnJEah5ure1mV80
zSNT0~>OETzVfega>sw-bHIoM#mEp`O>z`flb+?UQs&K?(p7l?#c9_htF?^!pnS49!
zOSeH|3M(i&D|N%VaxyE9uz%ysm5=aj>EC@WupMP?2$A3Rb^op_Ff|!}Wh2~oVND?r
z7HQFHYK2dR)yKrc%;SaR4X_YdWKAMmVKYYC0)MJH&G`y$xTCCF2VdU5N4F4u7er;$
z1hd7SJWvNubJ<6|hdD`@>>A+u7O8k5f6h%)vk#^i3hKn8CHy`WrSE6BT~DW<$Umij
z#PS<V+ZxSW0yC8TzB3P(Zdh?u5b;A2UK{Z2Vv1QY?D}{na|=$*?6xa|t7VJ-vh(47
znn#gV2q(l}6z781nESKd!u$sw(@Vg9Q6%F9uzrlCiWD5frZPutFSi3f2nIW5TMNH{
z?+J~4(1yjnW=R*pNjr1->|v>UZ!SEC6^!kS9N_NUSf7{h8G%^&%dkmp%FAq6#a+wU
z4{l2HdrRauYx(Ji!-c~BD_QWLXz{C&@IsC0Um}0S%hLWKEM0!$PzLN$MiZ9?i?d1o
z_XO^LqU2uy7YB3ur@~PS3puY~*Oc{ZM1H^+&%GL0<kCc066`MAQdI|&`WRNFz!%5Q
z$+W`$Y_jY3VJR6p`*wKWZ#vQku%WQZ@iF)n)$D)Ku$J$v-vk`EV5$-eJH5U>_YE#?
z77L1i`Kd*?7hrKuiknez7?}mhCTvsLQ56b%T5d{j!#i&LR~rVuWq**hlOOMQCXsCg
z!!`kjdw0V>DTXL+!5o*)mvX@wcal_s;Mq^R=k~x%augcZU~A?lRzk4u&5B@Oc<P#R
zln6XmeE)U;OcHp>TLJ!ZNv+l!&Y7moIttTn=Qmt}Pd&+DRflhdpC)yO^Es5YG~wW2
ziCtds5%$XxW^k&1o4PAp5V_mR9Cn?SKYkvL`}m~Y4qnObxp5ADd0c+m9?pHBc-s*U
zr0DiK52pz9)L6qxckCX!!}5to8f@Xk`VAIeIDEc^#2hv@4cGLCRf-<$w1U@lYQ!Vp
z-TwUQCh++IUCTQ#U)yahGuSzPrY#Ouw4}aa0Q*RJY$d=Vau-7lVN*wHuSal9<WjXZ
z{C8(`W(KT3ZCI}hf2fdT$%Qv5Tej8UZI>4s&*9dzdpnN93#Yz`Rlv1UBx=gA;I^|x
z72N4|R#O$$I<%v$5hkr~3poPQ%w6C70Jq<ix}^wnrSW-o!E(>y-^;-lER!>O;Ii43
z+C#AG9R=oL*r3;BOA1yxRiHi!M=3H;%EHM97e&9rhZ0>?#9_OCc4vOTU&|WRCE@CP
zlGeX)!6;X-AWV7HYvUhGecShjFnszs<3);nsQ<kiDtX~Op~2}p;HA{PHGHtGG#?W^
zJY(#-!2zc*-%(?PZ*SLZbHN>ol5g-vs!Hs&9g56wsA&8&H{9~V`WP#m*LKKU5S~~|
zy+RB3)}@3C!>_Veg6QF;>Hq%ihucadOLoFx(~l%%V2Q<$^4)O!E!9UyVA&YosYzAz
z`&ZVYHDHF(@~>ZDmGh}&Ctz`Jqn-xX|H9ikQ}~wLoxUbmy4+6Q2KG+OVXTI0?H@VW
z!S~m>IO^dy*MI7H!ECJuPF29aMGge{!2WmAoj$<q|3oF9!M2|tNp!-u;%EM45#Dt`
zwio^=d1#^-wv&?kJp}82Uwl;vmj(%t65~CyFtn=`*6Kab_ze!4jQZRR-}`m6^E-UK
z?vnHr933r4Jqzc)Xt0}xg`MPCm*8V^&r7!85+)YIuW&r$zgZFi)LW$&PZ9afi>a2o
z;Ya(m?~TJ0pT6CphV!kr;)&yPl5W4(9=K7Zy<-@Dvg)773)41>_Kd=N@qeF0;M_|;
zY5U<fs^>Js;FnI>EX4lUU&|3Y3JZt0p6r1iUsyWxAG{)?Xg2~^vT!_bg7@XlrF?=Z
zCvBQsVBapzx6?3Bl(khpd_+1la1q|gLNA#IznU?NSc8LfgMYQa4}04THeoJ$vBqY2
z_`UWSa?HP@^BT_-EHU21OAYU{O<Ej>J5y&RiSw<v>gPK$K|F8N^I0Lz$CaP=!bspJ
zfnuA)`Ma2>H^vFSvaYBVg@u^M3)o?egBL#^gw<$|+vvja7A%kcgEN}Cq_p8;QpQ~3
zde5c`3Ox%aSXOxu>p}bPZ4+DAY3S1xV*R+mo0abmkGbFr6tKfFz93(?qoz{V2F}y2
z=!u4BZUizo!ABp;W<|kvZ$5BefXO48)}O(9^6pLezz66Ke|!Spd;4qQ3hXjg&tC<v
zj@B1mhxr~z{V0b&G#sxY?ho(uinTw%WBk0gi2KjCLu?#9aOhNdbOPMbmT++aHugy|
zO@lAYEgzeM&9+>uGvRpK1%ZEXy_3E`F0AuJ_2(ZrSc~fbaew}BzF3z@2+uz!Dc6X4
zpm~yvivbq7vAR(PFSV|1@xecSeW|U5f1E$o&I_NcoA^l7OY`AUMF-$_4E-@gJvDRE
z^M(|B=G0tjFZ}C%=YSR*+B;)E471;*$<=^GR#`6+^(9TABZ&>no6CJ@4n97T(qRcp
zK66kd>S@}q3&NM-)qCDM|G@g{+`qix5!XKEEx2#L(}}xq;O&J0qCcRjirNzi=PIB7
zO7s(Ice{MDV8NJ(e4^j5Jh7sd2~&y+lybt-Tl-VWVEcTXV19Vt4{g^H_?*Dj9TE8E
zt!vd?aPE+#G0}g?=f*~N!1A&iHblS1u($f_EPR1iPKfB|f-bkd`3k>xXp>TfU3y|u
ze!~f3yH~Yg2csm{HTcxCU8E;r?X}WsI$`u<>H1A(@ZgiuXc{<X!>QK_-WKouDg>L0
z6{R@9JTz@@1mJ~B!C5Y__ukNygRpTxr>iGSF6!?p3wO`n4fKb@x<+M9;H<0PREhpR
zg!Ln-F<cRBa`HC3Tdl+VJe;Ck%6bpBepe*o3SS<t7fFPJZ&Ch;ghvz(Ev3PXhbG^L
z!+QiSkUWF`J{FD0gZEL-Hokxh?`@vWfs3_u2j0MHX$t%wVYlk8^h$VVJ>_x}TyDSf
zT@&0Y6C$w!H#MYP?SNg<G}gbvJLj1a2H>D81&6pquznsXv78|C#oQ=3;7d~%eCFX@
zm+F+&;4~ioqd(yZ7hgIR_^8G^OHw@FnKV}39|$M#U*AVO|M{3cv*8arWqIgu!j@BQ
z_bOnn5F-YDxI5O(x(t3{{8dT{HmRtjT7+--4Xqx8!%GYY=3uF_jkL<}+0-*EtfIJ{
zyg&A8!RLmjCYfO89ppcaVIB{f7)@Bmj<d`HzVh#`jXLafIrp;@EZzTz+85^J=uY>5
z3tzJi`oMeK?v?t(Rid*jk6^QZCM%xsB9E_D2FyIUz2gdeZIqL~7XBshPT33QsLocY
zhxr1AY_7uNyAu|F!JBpp!l5v=J!!=%Y<26UbOdbsQ8$B94DW|&F#d^w-)O(~Acq@L
z6Uh?bfXQFREb!`~&1T|x-0JPq{7f(}tyae)xG~2+jtkZlC`fz;*Sq$f<$yczf%h_a
zui{4E1$b#8F|HO)_0WCl2LB;#&iVkK;d$`yCcMdgc(@u?Z_|^y4NrX0`TY?tB5QJf
z1%EbrdY}#-O9)CXgqL~xblc#;&&xf-@bwYin+>q>$!y9oc%}Yl5)uDhwB1G`j^}}L
zQe8w`o&D`L8LXWbv(N$abn+gRg73J!6C}n{%hq@P0Q~P|>V-*IdaztR4K5x|crpm*
zlmxn@!|xAsH-3drR&=s-!-3{oo1^gbrTbdFu$p2g-89U3y)<<Z{_B{nH3Bn92ef~O
z)9FJ_Pr(si(gk-*;Qptf7d-?|McA5A!{x=|853~c*PHo*@cPQP{sGwjhT5nwd{ex0
zb_|XVb3CX5pYXoP_Zfc1Dd40Ak9c~@5aZEr(x|Y6>1)|t`{4H{Ntdi)4p#fnad>3#
zplCQ8`sP;!@%lxrl{1lWJ(KMKvHyaTyz#{_GuZ?KF}`7$k%qT~L;2-qVEWBn-rwL_
z$0#>qJbWU}S@W=#{N~+xxTfvfNnS}j&)<2fp4eZd?&sI}VCI?1g&(k@W?i}^{9bQe
zU=E(<3h%Opum0=N`UQt(M_-MBDGb-IF2R+j&0gMz9~hBmuET$-jV&ACpaka6D{!YC
zcT^KRT90}H&!6WO7QRSIVLlpPn3BWv+?8wxV5MTcP-gg<LC7<2_-A^E0XHn_mUGDy
z&e}_xMm*0xwERbD6wX*Y@1z9J#xu|i!!5^lh8~A6?k&>Xu^*r3AiZpG5^g51Wu|})
zSPb3Iz^6A(o!Af8x3tQih2{7xxFzA*5l<aw*fx&dOA|J4Ut_um`+T8OR)<-Q{z&-2
zG<2Ce9O3t$!`H6C770nc_OQzxmtCQ7fZZ|iAXrVGwEHeR$a3J%75H4#v(Xq>IB#hv
z5)Kg4$Vq}jZw%yy!|u7ii&Nob?S!agxQZ|3+7tMvMu6o5`1zRSogBDHQC2zUe;nO+
zJXY@;2XK3p$_N=1Nl9jkB%@G9WM@XmPDR-wR5HTXEM#P6q^OLPm5d768L6zIl5FMo
zxqpAYU)S|`j`N&z?s4t`OG!~1K7v`zS(tO+qY@vi%i#OLjlZ74D;C#8s^N~Nw3;&b
zP{fR64a_OwDe(f{C3A1J5th26`LB}rcQ8W>T*k0G+6o`_I@H+#KMZdwX@;3-OZz^+
zUs6)|J7En5yUdSprQG?S@8RUY^CcrNJ00_fPcX&V9o`dgMN@nFFnn7h=h_t99hAvB
z0dLH)QlEu&Ev-L&g`?W1b>?8&d`Z0-SSUYl+bV39{(Z-HIGa^&=U@1~Z)MCJyf*mw
z$ws^n`BJ)5^d}trMXPcXd{<~DZ4s93W(?tgZ`dWf%)^b``M0^?CMVnBzp!7Jy}?fS
zTEm9IRe0;Bjb;MyNz-mV8ga}|p}GA-5<X_gQL&Er4k4NO1F%cT&^`vlpBF9EkoPh9
zyFHg^VgF6}jYnavF?pv=<nxDwO-{k;Zs%y3U<2u|XLVqOH@iJq;r9P*=E(b>?1zV0
zNq&#mo)z-`XDD?gm;?UkG*RyWYd`VVWrrD5AGJ8ae-0k4=Y?-~OIrHC$MX(aa>1io
z)OLQbK*R6%JK<>dkfm_A^-jMN$!8a~T#tnNRN@8&;mzB2G{?g>?<fic;AWS9?-NNr
zTP2SOJYySVlMAa{2z@F94;wl<<->2a<oAlh1}*tbui%UGTG4yqOHWhZk@snhS170?
z;hr<ta2Hk|_~y6|=2q&J8iXy@?tYYl>x@pn{tg!w@Lv^!l|G(%I|Dzndp~gq7T()o
z^%pj9Rk=>`KdXPXUx!cE{+yG8x38s1lJ}W!9Cp>p!jcx{vW)OQt+!IjFkioT8y76|
zMd+<Oe5F_W12?Q`^-e(*=FQlcDgZO-{Mm3E?j4qRAP5_p-}Tpo#{_@5?uVb+RcWZh
z44K=mh{2-NR@J(&m1;7B0=(ZM&gc}}Z??{H43^RDJ8TL6<*5He-q*Sne4{gmz4g{6
z$opKYrQ2S%@UO7iQhiw5B}w%hJVirMVF)W|$UJj`i=Mx}PTmh^_9=!qz{2iKx6i_z
zYD4oE;X_%S`u1?^&rfw1V7XKtGe?;1ho7`3Tz6VJKNr@cqD`@bd+pmZvf<>H7x!7f
zL7~6?Rl`#~v@u5Tlx@gjCA^KwV}~}(wmy8DjQ0qn<*6Y5{}Y-E!Ea#x+}kI}`L*NU
zda50EK4QYI2s1v+R3+m@Xv~{4$?s>CdOeejXX$j_$tVHm{G`A41-4v?P22<j?g%ts
z#rS~_?+0zT;jB{Z*aQoE*mjfa@zb>q%_Hy)*Bf1&aKKh~{iE=;dImLeeecTSIBpBS
zDy&!83P;SfXq<<|%aoq-!M!I>%SFP)k#S|@ew$S1Jaz|mQrjrR1Gns;cPNHcEz*oh
ze9UXe?GapC!_rKSXZ7KUwkDWmFPj*-|L&~|cQwP~!ol~+{dAp<Vr3H62)f_S2D3b#
zrTh*Th-^4U;%&E1T2f&=mA`6P4mrLqF}3qF@WyCfuI=y_;e<LKc;NhfKl1;XwcKyv
zg9CMGe(Zp2`t^Rv!!O4?x05(kr}L5mobA<jhs6C{^9+n&bqeY~<o*}5dTV|L<~v|z
z#}8kuP5o&PYcHSwOO9ukZtJ2W+*V(EVK*GJLAv%59IR0zw+sF|aK70cc7MQGNbY~r
zEgiAGaH{HNFJU-z2je||m_posirnAt-h0@F!WrL8%E|Mfdi!ISo8<F0kA%qm_)UGs
zp*wKE;k4fe;mkg3g&4R>dCo=wE)8g>PllzX2F2y!!~d+gQsGyV*ICK^<m=Zx`T%ZP
zwHwxeja&u4<-l7Cp6Ter7tbd@DTe)f<9W#aD4aM`^$6a(bv(iZX5U~N`W#+1e|g3j
z9(c!<Pz|39Fh4@>ry1_Jvkh?Uq&WR~n6CJb{cBjV&CiS6PoF$4Ns{q?-KRBGT;RU=
zJdG~cU2%U>C@d8#%037u{+P1~h8=e^@BRc^B!;TR!C#gWeoVll4kuV+;ai;{>)+uQ
z3f+G);hopmn&;qTshC&kuu1CXfkoKwAWv2)yip)4YaPzl?6^<@vql_zL5uN=ro+i~
zZ(wb;jvLHy=XUj|*KkhxOd<;`aJ%JVFZ}mJl=U{aYua7D8$SQ{`DH$sEp&GKINW7#
zDZd+DV~qdy1(yA@tg;9GzPHnC8dmF1-y{xGzPY&P8ysx-b;kkt#={B5RXBq+dP)wi
zbqVZVf_1t_R}|oF{&UY5C2;-nDo1I<>xNr(XknYkxrEd3Ct0mm%&<gdmem<J_GC}^
z23X$N%+VCSTe;yc8~mfEdd(5OvXeD#Gd#T8pO%a_y(z3p%LT{28cOnoH%uN*A^DC)
zIT`-2;4LR+UU>B?-9a+`_0;`S4>;i}%D$sy{HsNe@7A5LgWE0oL|7<v{1YFXBX@R7
zGOVG=rY8iK39t;1@wfZfz4-)T53!lgWc;m(<AbREu;doKtB+wn<#W6D!c!H8u9d;j
zqTvY=Fl)<Q)&^MJQbv^IH?Z8|c?};LwMdhOqci2k-oiD!MUGN%_dd}d@8O4Hoda_4
z*Mp<adSS&7-W*xD_Fvztet6Gr40VGyg+$#Rh2O-5epZ0PBE$b9<Ee8Sa`jKZ%#p_|
z{y*MYdvd!fe4R$!?I+?p^o1#n;M|WihZo_ve>QFU@Z8;Pnyc`C;u*!Z@H6!Rc4~|l
zf4|o4eGX2@XOSS|&z1B=-ul8Wkps(H;J@l7N#1aa&>t!?zFoZ2o$)%{5K_~|4S)Ka
z(sd2~X*tx*3okF1tKNdY@!pEogh!bS7|7ofU^Tp{4qs|iO1upF_`c;ff%%t=MK8bx
z$?+`4u-!hjYCBk|a{U3Bf03J@qh}4jrKrDW3uh}Sj-G*a`?rgGz;WYpo(6FC$)Vks
zVReT6bXssz-@XbmA7p7_TM9W}zb}3*A@fD-gEopN!VziVj%0q!<9z>VNqGF=_+>Ib
z=7>V51^In?KLp4>hpnGk?j^s^uZP2`mGIpG+hip;YjI0|Gc3f$BrXqExq5$Yg&(&u
zr>nqMdDsd+z?>2NPRC%Q&cJdqA4s$7<3|nn@iNafGG8dIC^P3Id~P=C)(Gq!lEtYD
zo5hOgO~5stcAvH3k(Mm8DfsA+t-djQVN7}VEbR1+f4d?4*7Bv;9DHkd#~lm!=WolU
z6*!Bw&%_KaZkuK&^QC44+6q13&bYW?26&UZzbE-UB5xjDCG)RL&O5b)!_R_e8aQB=
z5%%~nc<@dsrcI!~J8xwo6J~wo_)ri|(MWro4l|FRe6tTOn)0KqgpD*9W2IofvTg0p
z;P~6rC1gIDj_|BN2fQfI=0)bKP4eEHc?VDUkH(YvZ7%l4N|UgI#^bZv@blntrg7No
z)n`8g_;Xf?#X8JaTcu_Ww@u3I{R=<WqqjW=hYT<Ka7f~Ld~;IN38vNZRb_`0TmqHJ
z{Jggrr}pfI#l6mNxC+}#G|vjatO=j@`oYUb0#xMT!S43o!7$_8?@e;>09P0tS<fJ|
zu=<w<>@4orPUaIn3lXV0376EaP~L^j$`XEFhHaYGS~KAA`n8ISa6@&&Tt2*A&)Yv1
zRx;>(Q3_8)_nwG`8<k#vd<I|PalM-l|F>~4`z7ppy}>pYj)?o$OXgp;HP9q?!0kG_
zGCN?ubNV*#;f00Ju8;7IrR#~y@P~|wv@dXL+Z*de_>-e~2boW*_jDqjUkd$aH23e#
z!?d-6Ry*KS;W$br%uoH|c<_xo{C7-ThRjzT=Aim_1-_GF<wWMgQbzriOozSiPu-`1
z|LkqG&xBpqXWx+cEbqd;2G~Bw`5%dIE2_784J-GB>|urr|9smu3A60_X-?L^VD@=#
z@(u1V3%tY#KRB#;WECE2<CQ1#bJOa4X_sN)>4~B}@QB^Qkl_KG|LeJ4;_x{gt~`CX
zqSf!aD%{Mb6Zi<W*q5|Z0p2$#^Yk(N(2v%T%%|?TKQ=W8d+*qETM2$(^nS+(oOb(8
zKAFEh|A6xH68uIqVwim1_{_K571;MS`#&<@`sZn$6*g%cpD68tqwrS>Y6%XQ&!71u
zS^tAC#*1YSJP|PON9IeHs#u;7hEHeziy`?eUq0-WgD=qzzdi^n-hE~%53f;8ekA!#
zYNAS~VB6Z7Eo6Rm6y@ftI`D>s=G|m|wQ6;Uu@(H_aiS@iU!Cb=8+i`4vCMKK`O(J*
zF1W+I{SFVveCj~j=MS#H-_5R6ko>$s(Hl45C(=?sgy7wojMcZ`$S6f>5jgJVwbW!-
zw{cE}%)d@KZSvtBEU`d&ik$z`D(}k*;o;jwL1e!5*p}RH#c*|ObppwsV&!Xl2`h%4
zZRLTfzWk=FgSU#TeB*~D)pi+tgkSN->>%qCG_Wp(4Z+f7Qi^1Kg3g_L1{dH@4_>%)
z!Jnp9Se9W*vGf0Jhlexw+Oi%*`<QR6i37HASWRY!ZIj|AcwxJ?J=3Ca?hSh0t*}+p
zGQR{|H>$5j=8IQ98vLpYzjb@&L*h~n#oPukWhQ$ziQoSeIdlb1eDBat;t`Q&*}UL=
z{XNv=`^C(U^d!Sua(HCP_s9R+xG@DjqGf!F{6DQ!J~M?d$JPIW$a)M}dFs1LV1>E&
z2_)aU>M6}D_^&s0E16GTYa1e02fImTbZ>#DC67F8fmht$Gm`t^?ilT88(dK8%)SAh
zlX{`s4gV{NJ4p>w&W7CVg=zWPEa>6GY=0akVGgh9n04IWg<TbC-(ZK_n<<otN9AAI
zJO@kFWVSCOZgE9gbsjEtm;bm5Uuu~y{|k$&>23Z4C#DyEUx%wQLj;##jZVI|TMps;
zb;O+c1-Cu?NW}(o(l)x1{NvMFUw6TU(ajmtFn2Qpw-8)%_wQ4ZZ_4GfdI)}UefirY
zd}HZ=<YCy!MvQ_ypAwC-SvBCdx%|>(Jq=bli<4Tg#93qYDR?R8ov;Nwvaaku3fD%4
zoIMLG8w}ng&pY~CN89aT$49kQ<ax;I{fpKK?!0aKdI*l0%fEUVzLY7qLe}>f{$Wz+
z0e__Gr0Ijxrr7xW;V1Q>E^pwEv`)8z;8qPT&lY&dd-rk}O!4P?0a;I^`EILN1k6b3
zU)}&S-nn@{4qp4p$yW}0E;KVG!wFmu_K@fMg3V3e3|L3s*{lS<T(GM&3vSuCU`NV>
z{Yj(zg|OE$PrDBsA^j?;3ZDL$*XRY0d#>(z0yl7RiaNqlduL;x!PcI^GGu+5mp#v@
zU%~3-N9eR*+ey#<H}FQ^lr5w@rK38g(E$tijeC;$<8n3|%e&!U_Q$T1@|b#|clR*t
zwl!c%0yc<@i~bBt@9CZ+<+*CIHRX5s$!nKAWd6A8V&$P3c+H|tlFT1Z3ci&)4__1;
zOX7nEY$aJ&;P~$cvv$CuP87jZGI-zbpuw~SHVnEqLkDYVCa{zF;w|gWmYZQ2#(STC
zqyADgboBri?56i|`VY+0r14-UoTyY*N$OJyN!;GT@W{`}1~R|ecY1b85<aS4FY*Sy
zxnITL5WL7Ycd!NSU*>I8fDPD89qVBJ{mLs!@G;k0?qq&-u{XD~I{b$3TMn6DT~mG}
zT@$9QRjqmjKk54sWDfVVrTrlFLmSRb&n#g#l~t-2aGZK=k{j&xQ1ehZ{Q36q+e@&+
zVxC3?Y|s`{avhGZ_~l;;AKg;)H3aVI*N!Fmi&j>z<6+Ll$i^brC)ay55zhKP-B0p^
z=tYO};IB5jm<!;<(<-bF;mXN!5mJAxuWPq$fWMf1vdn`|&`%`4hArNC`;+=^xzOe5
z5m;S5=}``xcm5{-XV@b}_I)9I;Q))rDojDENk!&+zrV0M|1T_*|C}Qq?vw4gy-613
zgG-%y23&u2^5qt|^s9s=$v<{FIfEZ|qLPY9g&#%d_w0hHbuzL^ev!B7b7@$*DY-8h
zzF+Mya|r%B!8k+mca(2?e*#XbT;7oYN3ZOr(SZGrN$yL62P^-1=)sTP^H@Z~<BSXi
z2Jq!~VVC0IMApi1JNQ?*^8+%UoZGhcl|9^cYv4J_Kj-J3=>><jJo$bLHg5Oo^?_|4
zew)7yNA1)*84Tact=St4vj!OWhr+UFM2_Bs^K<CWCcxpv3vQ%6kxa)BmjoXR*zZHy
z8*9U(G#N1Mo!^Dtu=~l8!&$HbpGB=dY#;O=PZ_*^ll#vVSal}q^i$YJP3NB{+<(fk
zwgygdrkA`3AFj7vcm=EXx~Y=(PQpgcz7F`5(GD*c*f4~dxeNBD*1vuM=69X+AB5k^
z|1Bf!CzBr^9}mNCLT#Fz-~%UP<9@<lxM<hT!S$`d&9iV(nGBsB+%11rZUttb>XNm9
zyP8kAt-&IDWlveda?-TA%!g4vyl=fm+HW!Sv!R>eV3WULX7G6R+XYVed1ZLDKAdg%
zOoSUAdNI>Z+IJc4Zp<QZs+T+UY51YD@i9@@aW;!t4>p`R@Z=z@d0tRS1FnnVnv@|{
z3o+1!9r-$&Pr_;JYd6$jzJ{`Y8t{=f=J!Z`*4Yc6%;0Z7Ti+go6Bu;1TEaU$ML&~#
zx-y2v3oy^pf9#5|^w|lKOK{UMtD`4K{Lh)6v9OcbGdB`f{ZB?P9=_`tmqg-PA=wj8
z;ru;=EhL`G8NyouXKZbmBk?ucA0q?sh&h#z5^O!)#y$jp<)zd)2_H^4(Dx5!Ulk4_
z@#ie8%#?Cy&qW?CAaMz<EA0ZX9+mzei8tQVr`-*6MAIE6=ksvP$l66XEo1{dIp1Hb
zmYOcW^iTXHY~ZWEj)h0VUTRVQ$nR}Ft#1?s9|$sGbAyB2{>a>iM}4oC1i+(D=-%BW
zellAT2v=)&DP+OFE9h>K`$HzWhcN>#mGzCi4gXh>>5~s1tBkRVg^#kPtLDND*ETql
z`;Vu^>1hdkAnq{z19-K<SnDC2Mp?~5o;ParJ6}A3FU5Tr`Tz4RZS$>CIN|fxKjis#
zeJI7T4xZPgtS8UQ#@HLuuVDG*oqaFh=D(XcI$%N7V>yj5TgTj|cW|ld#VXPsr*iPF
z8-aIRNC@kIHB5{nhu}kb2jWP39P{1&jlmRJX6HV_I@f03e1SK-{p&IWTZoh%o`!vP
zYctNk9zKTeC*UmYWwxJiZ56B1FZd|6z~=?nn`)Tp2W;owIlTl6b|(8Sz$dcSDk)H&
zeHXV<`vYG#ecVU||A^#%wgz{%(4QmaUF*$cttD7w-)k3kc*RHe1;r7#k(-gUuMO*K
z^hkbb+bEk5oTceePlLEa=El#Yy#2LFFp3JMn(afk9vLs(_m2r~C=?G<gk8T0$I-#@
zSu}CVFlWL?n$2)Rn5l#=?2^xOm*i*cl|4e%pV|4Xg^3NWl8x*o?dfsN<@=jp>Ol9;
zwr~P}&K6FXEjsOy3mkpv&_{Oo#`fD)q<!tvJ*vqE-_3s-M%veI@~#{_u>7^$I8uKJ
z7vsFS3)T+pJ{JgIDNNPnhXpfRU9ZEn`_<}%VToO<M{dKJwM`LwV5OT2Y7y|Z_6vW-
zVddaGTjStq-|tPL@Ex(eI}_k2t{B-va6q={k5u^7M+RzXm^I02`991}SL7}a$Hu>o
zC-tv~%~1@p@J)&CbW;C19wy<9%Dj?^vE0#Gc+WkGO(g&EUEP!QaOltb0V;53c?d@<
z?9WN5ehdy&%HV$s&n>4_XuubHx_@@TZL+JuCt<I=#g!h|BtP-bX;`{Kw0RijT>nv{
z4d3lF==ubg{tXj1hIuR_GD-bd$7yic0H&jxcuwlmn>TF!Xa`%m?z&0p+k)|C**5UZ
zs!{9$tR^$J)dgN3inIC$OZLfqa)hbN-a3=@sEimoPG5$_Z)z}*_6GMYy)jp~o;HGw
zv{(AI#tpB+S11`Ck@nhiZliCP;FP_3Riu4K>oH;K1Ai)t4kPWwuijj{z2I=(PjRBK
zuytO1Al!M-Qj)ZHUlyzh`@vkNp30N;#X^K`-wlDcjLtKifMuMDY_G#gp^y1BVJg~2
z)&Jn0KMOzgVCwUqH^;!OL1wFDJvHi3m%wCr(mA8q9By6<(MW{-ls0r*!jJNqtM0=*
z*?L*$VHsKe&{Wu<wzk*-rf|=j&xS9iGx=YHRk)tL%!0eM=l}D77bWV_%V0mo<LCU~
zD|0PQkKu53dGA2@-l0y-dbqkE>clPh1V{JQS~!_C!7>8=7~Hqe0iO<;*&hcN26kgi
zFY4Rs)GA4EK38|fC-`i_S=MwoL8{Gp7&gn|I+z3R;8%UI2p<vkr!I!0Ef3zDha+7?
zU0%TtX8nDY<?%knr&#U{Jn3bvstD)LYEXTL7dBJ8cn3dsjXv-NuI3e;Ylm6K1!Cu5
zf#>(GvLD6!K{w5Mk{_7aR>%QwOYI$>g$s_e{1b;qx&Lr}gZGIjOH08iE$2`ChHXy&
zoY#kGKe~I7c#YVO{YG%l)x}&A-(A`~;|Zs4o9`oWs~gL^eBk*98Ed~_P8*pk|H1J`
z{u7;oFCIMqFdlwXr>0BRe`T)ATq}mxwf0}1fJ0;2rAlEt*0p4Eyq;27Y;`cz@4goD
z|LM@aS8sqjqw_zLeAj0g`?}%$Mt`<XaAstyRWJPMsE){2`1k2F<w<y?iQ9Y-zP|6Z
z=QsH3wi$PlPrsgYW);4@RPvw?p8i-9^%wTt6<kg7OKM}>HYuQg&iLp|7d)O(p1lR0
zl>N8mBb<D8c0m}Xw<=Wr0FTMDi|&UdHinw?!rKhSnUBJ|Z|%GN9xjolS5bshm}xRe
zzKlh`;Az-!IK8tK=2TuX)q^jba9-#jpZ_9N=nQu;tqHZj^bMy!yTSo19~IugQriXU
z17JU48@Jc69hJgzAbg(j_)U_(;<|Yt2A;f9_pA<fHWc0x2j_)`Pms8wYfDEtY;k>+
zvmU;u`IY`T>{HvW{}#^tJ#qLm{QJ9TNFy9lOLg%pEOUI+oc!JuvU5g$iex<Tdc<e=
zU>;9o0PM)5MYjk~T&(%k3G0OE^!$S(6e23y;Y}xMMVPUE@V~h~Z5xzuz1$gCWrtH%
zpCvHD!&+ne`QYfCOlL%3Em@|&WWC~6oko6Pc%UU?t1xVK&yh+F&iSu(jI4jWWqf;^
z46JjH?>AZhn8(6RUJ33UK3OLR%fHw`rvNiKFApfdJ*QrbYr~V_!VlG8+h+SmWH$Yh
z-(<Z8ybw$oV*&5;<%`pUzi{W6n!$=4-wMfk&o=8vj<~>eg@XQ;aAD~HjT21iK#_0`
z-u%jC%m?n=sd(NAE{LQpK}Wb!v1ms4MOaaEU_A!*6q+>ig4uXon(x5=7IqFkaPOAV
z!%6U1dyy<z|9XX8fjR*Ws4mmJ0k@?$e93`DnW+TG`r3P6X%;<zExtTB5eJv^Z2tEG
zrtw(eOd)aeJ55#atyO->bl60LIj;@A>gY$A2mj2zd8q|vHGa%Z)(>xdL8<o<K9<Sy
z{R!+PeU+ylX6t*rSWX;M8a@iQrn0>u>zAM9<2M|EBez#}k@d?T)0;I;zzvqX*-dau
zUSrf49I)?AX*2A$^WVQ2SbR+6I$1ycd5_JT@9@~_U=&#|KL6ug**`F|<gv44z4#ru
ztCYXt#@Hq2A=vD&<mDAOm$6|ZS+9MOag1gG-mxus+fP_aoa@RzxZQMWY5{hYc2-z}
z4a<ubmSBpBlwulXlz$Q<_FKsQ3O2q>B;WI1i3i#5;Y3Nk4;|u1uB|qmfiEW7N0RS1
zPT5#x1dDSW<NF40Iag>#_8;MT>svzpKd;Q^+P3iPW@E)6n3GcDr#t-hQE*2eJYuW+
z`4Su|Y;D~RJFc?ohrvzfZ&f$L+jp|6k^NUP4IQ*<;cXt89CzR&!56l^guAz^Ge*L-
zbK2QYVdax0`6=+yC0&`va2!Wo%3ava@<3BQyxg}gUjU14-fNN#|7n>M&x4aaH%z6#
z2No^UU&3F$j2tJ|*Np;=|6afeb&Ve);g+{S2j0RD7ZdEl;JF75Lanf+Uch`HY_;gW
z&<WrAXI&EjHyYSXwZkI=>e^Rf4RiO3K6pBMAEyWWOVPNnhxi9;t~31Knzi3BJXrk8
z%@Gbfui`cc2SoL+TfwS*>WW`s<1=M%EMfmQ`=ma@X%(qwjNnF5;m%pO;-dODU3kke
z+Qy&o+9_!tbvW_hzqmzM?FjAh6Y$aYzMJ##{=2_A72rj$Hsimrb4<-WdH7#)w#F(v
zcd0-`8veQXA2-<_YOnj1Ka#M;eP?D$*s$9=L>P{EY%s(C2YnJgwFmB6psJ^VZN;fw
zIpCcZUt%}H-xZn<vcr@s6`@RUrpVJq^8CBIHQtcyZzZDY9mNR$l65+{1@?P#emf=n
zkx_|@3ufpQn)rw3XVDY34P?KpzpvRn7vPlM#|30Rt`Cyo48P&g?4VS#Usp}4Ptp|p
zeM!TW?B~TgCSg4R3xrSTk^R2To!Ao81K*O&6A*`Y{nw!01qaSw*(wU(2rKJvh4pkL
z$H;zT79)0<&G6{GzrAFCF*9Q$sajaD=t-^|tnrLywFcG+2)HW?k3O2e{S;<Y6?Y>0
zrOj|>=$FCWDNE*LzcrqO*e?&^{K8XfWPdlws1c7`_<%6$Pfgf7w3FsOtatfojXvzk
z=J7TKj=bVsO7@GBh_JVaBl#X&K_;-BAe~Swy!&6jyD|J~`${<)MoNZ{-H)Gzch$xR
z+=OZB4;=dc{&z=jZ@LCI?0-XRhj{*!KrboJq#JH5k^KNACOGXq;1k?giI?GUTg4?e
zxU|Ro_C=U!_~0#jn6dt=i5EOj+;G|sR-sGPx(ffuuli&T%jfOj4S<(JPUM@yI+uGk
z`N3I~iih>!Y1#Kh;V}E4R?8`P=iZ?7Fu1Hs)l?O3)mn6mfp>H@2^@#V>vGTCfsM3l
zAIrgOQ8y{c{)wrVs*WFmjrSe+lLEiDfBHcbj*q7KuMocWGSgNVKBoIHv;Z!Uy#Hq>
zT&#ORuoCWi;UCHizm(a+`5dMw^xeu1TXr^-H^EgdS~;8H@geKHMtGt}^AJ5;#maD^
z8&+-G)I<fh9Zx^}0lxHjv+)Y*3lDe9Fp&KquPM6hSb~RpgID`trCisNpKv%U%iT#>
zbevb|J8b(aGh!V6(Y&Lb)IVf(zL=5yCp&#FCw+pCm$_?C!-At%_V&Rue<r3^;T}hp
ziVtw*HTRKaSXh%oy%kQd&Ml_IewM5JXIYxzY<J0wb;Lh~*k-(fT`MCLHzOWuJS|xb
zTmEK|BKu!nJTzDP1lBb^Ot}?Smy)_&3deE0m}7+-Vh?lY!|swJb=>f-<SU<Z;Ei6^
z<y^3^um9yVc;sY2$WE9w;;CE;+{LkebvvB%v!>-gI4zY!O$g@RFds|mYxBS3Wd-3Q
zzy1n@!BygU^!s524$1E~V6TlrE5h)1KRI7g|5IL<YL<k9iky!7!Ok`%RpRiAc#jY6
zu-wLHw`Jg|_KbU%;GRWE|ATOWT%m{~{MblZ>nQ9R*fVz?u5T_<I6^+}JQ{2Xmkt*&
zABT5VGiaH^iv0o<%JAG?_CbC4_yg|uC*j3l*$29?fly4X8f<u3MOq#9$PJFxhL?No
z*3{q)rAybf;Gq+jBNSk*$uV66SonFgfjoTC+eAeVPRdXHdI0V{ugqo&hYMB|O2QG>
zp3t6w0}@}$3&U$eSF`NlACKqS1YvQ$ukm*9L<W@wFDxJR($*DrImW)58{T3lV(bi0
zKHgQ%0vq^I3c17lmQwzk;r141u1oNq)5n<UVVykr2``v~PP>~1z8a9-e-%#iwzOMA
zd*LAKr985KtB#z#=nA~~V&7dq*jU`_#VpKPndTS*H?R1I{)Dsc)0kg}4KLl<IsxB$
z7P1@zuZYHEe};$a$G+czBX&MGH~=@q+^<Z8TUpZolJ?E$?)AcWcsTS)<a?N>;E6BU
zPj)J((C{rx`<mqf*>Bd@^VJw>FWsf6mCu6D1UxMw?J0u?eBv3f%Y4hxO89!JTiYX;
zOStH5IegHesiqi~;H|ePf;)wrBA>$a>Lt4$!gk)Tu9d;}Uo@6y!Y)57w5wtL`C|Wc
zc;d}tC9?mm<M&49B$!QRbf_8r78sRE+JhyslI=|}{alV{I6NR(m-Zg+KYe5V7VK2D
zCFU*cu5v##5Z>&Za<&_mDDpiO0H^s)>3)FK1mcIT!2DK!etd?Px2d>Zg6EUuM?b-w
z8_xc9fCt*DN+w~ByONFP;p#}L%yGD6<0(T+_=EQ!g$0;eck-(VyzSf}NwWX%14Y^^
zy08v+{`xAs{^zZ{4qSSBYIYgsvHRYp1_xZLi(<rn!b%I5&5yxWoc{vpVY|;U(}&?T
zeOn!}|M0<@(`7R729GplX1G`6q6%q$tJtq^-U=79?%ya1hisOmVuPD0wNeD(i#{`H
z0`SI#3Xz?#sRn<{PFTYFV-+X7e)^551RNc4M3W89KDoF<46b#z{Ky2;f4@_G6gKL4
z<U|MiGF28If#VN%ulz-SLE1?bO-<PS!?xSY@b5d0N7dnm$BNvu@Q~wJ{~35C_-g(%
zEZ9%mW(1p$q#phX4`{nPoQJ6=U%wfFg~p>yZDF66KhN~S#fviw?r`op(_|;i`iy4k
z5-g#A(5nT0JLIDu2EV#r|E?aUw+mCf3DY?JvaEuA2Af6`;3smEGf&~=@Qx30@RlHs
zfMQtnKIO#+aAX(-a{<ifNp~)jd|pc;H3L2&wD(^rY#Fg}e=2-aXz#BQ_;<_E>Nq&=
z(vgUlu+s63n$fWC-9rH{;KjcRA8*2EIFC$r!2vr=C4*pZ2C;!oc>VO9S}*wC>kX{G
z;oG_0!)~zf&N=E|aID5AH+xv|-Gd`!|MH;3Z4s8RM|7YlGt66P$ZG^g7$&?U`@fHO
zCPk^i#a37w7dBV_xLpB0{Mo6|0k&B_O?3c%zQF(NJbZ32F?Jv9HBuNx_PeJL$d~7X
zyHa(1|AQS|=G)le1pnYub@1|Rz*Tx!eSE9pD|jiZoo=1<Kea#b7d1e8d~ep+2<$!1
z=q3WUZ=<@}3vU-<W(k8`e*I{uhWQ_AQr(1iikKLZ{xd9_RA6F=@-1gpf%FgBhF-X5
z49AXMdG7`{&`$OqHbVcbqw-<WpUdE6J8=Xac%Ggo1HZavqT>T6Obd7KhS?i`Tl&F^
z6M-sXuzO!y>^->rpp7Ys%LHG^OodmP%bQ7maNh-mo@%&G$#6svUJF<ltAXFUW@(dn
zqC~w`51iFnoF)XHJaN;!53Y$=W+un8_vpEW2{=O}A!#3+y(&ic4Hoemrau5T(K4nl
z!*h;~vE+DIU4~0m;Q{p$N^<<#x1XtRFh>8#jlB_4uyazp2{Zh9-g#9HzTe_H#|xhh
z`VdO`tD^!9sCU4F*VyM3;P}@fsba8-sna!*Z!XAFBmr|x=KUc3&6@*e)s$cpmKiUS
zUlKfJbPPT(COoMIhl_Xb(tyjYRf<S|wNXIl0WH{v@fz<b*dgsDg#lcn7e7k+t8ETp
zqjp$4^xbKFVvp1UJ9vxX%mC@1E*mayafID1O)JjA>Sno#m*DGD)&Umq;=77mclb|L
z!VKx3E__+&;R}B^Pkv1Lr_=o!Li}N>$~Jz|KYe-hxo#*te6eMm^iMyY=(fHIC!Sd|
zB>mILuUf_Kz(%|0xi7*N8mv11!4lDi%cOsqX<;MpJy_oJWK96vF<~u#AI_uBPPqds
zpSNbrg%@aIts~)I4Olr7j`ddFUIO3yAjkO(9!VAYQb_U}y&P)c<kP=5k?WhPKK5WU
zERgc<Ll=CYCT-s&oE!JiNFVo$gQT9tCs>nVQ>-Bzz%!mk;)0*TwLRg1J-0hZ{Fi=B
zm^U1$D$X_q*ZIq;-Ge*7)vJ!eRkKb(<oOeK^xpX~SbbOSS@QfUJG>`(2wu70d-oA+
z;j>;r@;{8SdDp^fZ?8}H!w2n;m67LT$Eq3gFl=5C5ZeV`%<fU_fiIkR__hb`t$k!Q
z08i#mJe+{J>jeJmgo~6|C#GOVsS6E#u<{`nX=;=Q`NCZb?XYV{yc;bX@lt4SFMRCs
zkLvBPO>v;<d$@;%bBUBckxF*HAK-H}x;>KctI(%Kt#I;rFBWOoI)`PX1NLZrZ+Qy7
z{n?161!nV_PbTGOxRA2cJD65a+{+67`rP04HGG_2|H(PH_?ts0$*-7=h;fI7KBPRW
zgX2ny+emr;`1h?ok{@3%S#SeBC|Snz5~jbzFiz?ZfeINS^>BjUv4&)Lt+U>u3QpIw
zTE7QR4IIAk0=|>rf8hb#C}^Bs4m({=%Fls?WRBHV!1rT6+<XQP_ZZEU!i=8NbrtYL
z&oTC=@IdaKj276jO<S!P?u=6yY=hY=kJvwkHG8}(hu~ARipd3VYirc}2ps=ue<jKP
z$=CAX7koKr&vXvF#51&M4nD2H!Tb<z3*efeMt$>@5`$tEY#b`QmkyR#Ts%vz_wglL
zI!<`U@zEG^Kg`m5C~t!U@1M!cfPc}&KH`TX(&f97;ZlLL@4Mi;X8Yz-;k^$Bnx$ce
z$FzGAV4L?}X=LD%Eq*dd@ZcG057J*P!mH;P4L5`_l_<lHKOVgu2TSZZ8A<x9-Q_n_
zN5BzQr`{OAwo{9PB)@f2c#a)xa=&_07@T}MYSbQnbhtn~5-#1`_R<S(P&sc+o)6O|
zZ&!R^-!_BmB>#)>hW>E){(gqCAozwK6MGaKIvdas47cP92PeQc=|mUE^M{F1s3r-v
zjNQf=2n+qNP05FK*J@6B!A*u|dmqB?R|*~d;18N<<<&4+Dfc|!o~ndjHE_XQnQD^X
zQ`i0OJ$$mbb><>`@JJhDC+u<V*uTp#EzPvo0NlE-L);nub8F<uAiOdD#c4NKE_+Ap
z49xoY_;q_YK#JupY3~LyN@kJ#wzIkqDbQZt?OWVs1KZ9kjg$6s^~;oblK=8RPy-wM
zEtF-C75t#%!unSD!83}JwlFJy$&e7N(dpuC4j*s2%SGDvF{8Z&=is!A6}w}w=P#K-
zQ+Ql+EL{cW{jmS9C9K;bc+C*jIus&i43GLTR~o|%bUr#}@Rg0Hk{sa6FWv;|!zY>!
zd~kv*D~>)kfhn%X?hJt$?E=5(!e5oV%x=K*Y}a;^@1yLS<IIE0^&T7P!OaQ%dIj*b
z`H@>^;13GY>GiPuopTkZ;R4ES9~<H7Ro_(-uitkkaRO$o{ck_{``2dNJE!0`S(|8F
z;El)Ht{S6%EV)7811XPa$_I`Z!gP0>gaY7~{VMj?VCvk+d2)SaUeeg_4_}YAkd1;%
zM`9<_U@652dUE}%Cq);L{!kg;*N0Q!^D8wg<uHTQUxo+po%iK0pTOdUb=%1O>Sa_f
zRt<loU7aj~*_6uXD&Thlu}tLt7oTeDApPkJy6^kR^F;ak^Mp6>)e(<X^88_b+U7y}
z)49GrZE1wV+aDk9g%8x9_)DIr&1=m!e!+`>W7^2`Hs?UT<`39S#AB!%9{yWgxd5*X
zyeuT;2akH#HPT;BR~7w^lplp&F&4Dwzot?eO(o@#!l0c1H7p+U>g5b<gaLZ&@V)O_
z@65wu`Lc~HaBt6s^hNl@j>FR2@M`usw{_UPgld@+?xr-0p+1B5(;<r9z3{o5r&b$a
z&XM|iLhuI8ic8F}%&%8W;;@PYhw@hVd*QYB`{BKbdu+DBd!4Qp9VPKwQ<TE6mf+Vz
zhhgQBRaO!BWY=J}GHhdH@mUIPdmG`T2urMZ%t^x=7()6_z~9Dt>*V2%t>S5_a8%Eq
z4+^l(fFQFrJb1_?OAXdtYw6I0O+9?ePQuKZFO>{n8THZN)38R66|EjDs3DbO0LNCS
zemMs#{YklE4u7H_&9#Cnp0(bvgdJu(I2>WK9vP$a@Pxj@$MbOGxU;<joYiEk;RZMC
zRHgHRtsAd?aDoSigE)O)o+g`P?y%&_kMSVb=-f2jC0K=4aw!;={n2~H8>WxH-xLmK
zq?*Zj!aOtMeUWhP6V?1{upncjXDYl~Q&Gwnp4+rF>^{u-Qz#=C7P}X6CKuk<n_?FP
zGyUjy%!iNA26u(QT~w6}6)@u_Yl~3Wotlfg3Z89NX^Vup_AWkefg5;O3`xF!k3~xx
ze9i86eGJ^oB=0x~pQ0$zBKb7-4}FH=w%+inc=%_*t!+Qxq$+6@l0R8SA@U3E-^ubM
z8Sd<ITUmseN-RAS;W?3+4J)vE+Trp0aH4%%0iy}VAI-hKa1Rc5(W~A7@4t9|C=0fF
zCSk?{vu@%!PxALWy>#J&Gq`5Ea^X!4DH}xLE9<5fB>#z^G@m$}l_=Ks5Vq6Fnmz>U
z<eEq4!)kvO|H;DVo5j{k;jP*`QcuDP{QftK;J*BZVh#9nyVgQE%xbim?;M;mka4U8
zHhlF;%oaA|xlsBHJ|s_*>I)awr~G{c&zIE}`@`Pxb}kjLTR_68NH~wt?N1rZmTi9a
z4m{v+(B=hvDm3wJ4$RB9tK=zcU+FlK2g@*z^Sy-4U&{tOhnb`svMXWBe75LH_)2LA
zdp*oqKPuJ&@8;J{sex$?8kO4MZjsF!n&5Jgh2k%;kx7QpD|l<`*sC%4)gQCQH!#yr
zjp!M;$X_h%HQf7AG4m(fk~y*X4z_X6xwHruD3({X!5KyA!OQTaA1?d4;qjge0*t2U
zpRigfZHM_@UXtDbd!>}@?1uy96+UpocE%!kUGSrDjWJ%>e&;a95Ime!S|$inbH@)1
z!2jK>do2V%a8XnL0?V?AB#6OcK1&-%VRsefJPG)`QJ(J<9De+vr!3s#X{a~>>({*w
zlY{eysEdEXz0y)9$KVy#!b>x-B&EKy3Ve>r<kLLNH}O(V3%;wlmNf@6Q;utC!!ZrH
ztZT5DsR6GMoXxM+vkWJ36e*d)y@kn7n2w=8_4v*$=U@?jDNhENdt6Vz7PdVwFt!Cw
zxzRN1498Tt=5K;K^$&Agghjn8Z|s1D-#i}kgd@35YVg6VbF+)y@Xz|`=eyx&11?QL
z@OIBDe!E}`{nGwmn5vNLy9lgaESet<|GS)0EDW3Nt$%w59=I|RE(dQmR!L2Sm-H=k
zWZ@fU;!Bd@U;KYxVDSqjuNBT~8E`w>)gT4<mHLI4ELh%|{g)d2-SW59L-@<ZTTfJA
z{~HfOOW=y<wb6#~IX7v;XRvFxxPd<W>_nn{1>DuxQfCIYX7S6^!YT^~ZkWIihUUx~
zVVaBQZJc0d=3tSx@a1RCLJsiCh2KZt!wpK-@fYE*EWymZ@Z`OhXD+}_wTnCY;d{k~
zO;_Q|y<tB;k<as$-1dN{UtVJ$gG)d5+K0k-^Etjw!|v81BEfLt=fs5{@XE%T<Z#$j
zQR4LiY@f5yA`Jd1r}%vZR!9(&y9?_$4^~o{VZ9kO&%cTAZ&9bWG;r5#I+t|Vyn`Wi
zBix{^A)W?vf4*0;2{z;HOU;49mX2KGfT!j-tRKLGSr;B~!>xP770QVt**pZ`y&Mjd
zPhj7@Pi_dpPJX}Ls$h>$6QljGd4SM?3RvyJKL;`RvujC4Eqp*BNA?ix5<G1C5<YU}
zw5BX9y=M2J3Fdmf%&i3L?T$`pgik#(RZ@X3l-zUgfrn1&ZFh&C3(C<o!~exbY`6pu
zg;gfLg1>%$QxFJG^mXu6!@B4GB?iD_FZ4^u@#gEiqDz1?gv^%;;i8qeZAtJqjo$O*
z|FbR9xm5xm)U7BfhU4rd?v=u|G?Lq&!A>HV`rBb;ig&^!zTeP#x)Y{XQ%-scSAF#h
z{|pc9U*LNTOTD;~_7#5e?|eihe2aqS!ZiFfQcmYNtha|M=m%Usng4<uzraw;=>^z3
z+$*pKKBgCMvjm@U8~^bd?k_8+VlYSl_Vg8xI=H&8b}JJsYCih81@;Wp8)Jc;4`pV*
zfnO}zEV01~;v3mJ;31BMCLVZ+_f5|`Sn<a0A3NZXoTMis@E)(~7kl8c0`03qu-27<
zc4655Ncq<>II910x+J_&|9tKjSY&s?lLK(EOY7EYSb{MGw-4^0DT*(j;BLXnE^|0E
z(Mop;RxUsFz!u)lwZt|7OV!X0JHgsIEN3Z>V?O^zhfOvx<!iqbD)`H%Y<@d<Ys3K4
z2H5qt#dSkiGCMbPGfed-A>J6i@SW}tCrlHev~U7`r1bg%FFa7`!KeXq((f4(girTx
zc9MggllqK>Vf}-O{_^m`u-t1&xHsTNku+@gB8plX_H`(GbqJ=pIeSSSHnLgxB?d2E
zK31XtCk_bEkn>USGMn!N+^TZdmLI0BKboWovrg4|?t(ww$)q!Y&!1V$CFfr*cj~wi
zEO(o)iVqfC)P8IU_Y|D^z7<~Q`R}I{T+Erw!VUjBVcB*Gp1So)nH9G7OlR~Ut{*dC
zhduS_y!>F(ar)4Wutv0Mc>vs7ERwVd_Wt>B*G<^>`pGwRaLwUKt1#HL&*>w%o+x>B
z-p9ZS7S}gW!e#EaHpanON?F^f;m!R&eNtezn#O=RT#t93oS9FDL*I?Y%)@-iwKn;%
zZ_{+`4E&R4HvJ(yXG`Dx6TTB-y15Ld+ssTm3D>dT)OrdJ92VmG24AI^t*n8!Q0?{_
zfIn+09ju2hm>dotgkL^;nAHlqPHpFDghja-%sOGmjUr-A@L}q!%>!`Z@sXKac%7l<
z#TWQU#|T9Me9%RF|1^B2QRUZl_-n^Oi$(aP`6231Sf=n{>pE<~_VwHq_)SinDvb)B
zmp$!QJmCYB8_PDrc5D~B?ctz96QV4zHPx9(M|gdURmwK_OylGUQ}|DyD93hK;Zv)r
zIeh(NZio<Ev>JKa0DhVmR=XDt%yLULf~{`QNJzp*v?tcoV1CV-{Dbfyf5T>Vcpy)X
zO99?h>aC~@+orP`D!~~nhI+?gxu84sC*d|-+UrM1eyA;lCcIN|B<?8OHZ^)dAKoW%
zyWt@0v-;$rA*@?)u2%-W^;weJ5<Z~CKraEGprkamg7@f;Y?FfBoUb)Hz=PS>)c3)M
z5;duu;pD@H=Hz*QEu`h5JIs6ZS2!sTv|s#JbOpX^(U2wtmy5FT2EgMirth}HVeb8B
z0%3ud`$u=eEcPZ%x8RfaG?iH3*Sv#Dk?@@RHhnhOB-)}R9?tF-eoPH>2X^kg3m5nQ
zZlHy0+zk^m;jveLc9HV&a%%OKTv+bc^FvGU9v0<mC9s3ou0~S+URO{)_!N%aGt&DR
z788GyRRasyQ#V$@8Wdff%`mV1quv*Ak^NcaPIzropIr`IN=d)i2Vdy(^U8yl#^UTo
zVaD}abTP!VygZX|Tg>il|G`}Lg<-$o@tG!1QXjIpc%Nz>c6fO9b|~zxD|zWJ%oI5{
zc?I4S$MKC)74^w0H&#h~YxjKq87A0raD%A>Jb5vwV-qa&Gug!nUeM)G;)I=D)mQZ3
zjmrx2eDG%V_Zto2FGf8!LNNWy=;nj4d8wG8I9yD*VNeEcy474S1K(p$PvU|veHbrO
zBKb9&9+LX7wP5Hjby)g>r~NAG(=RRU+4bN(0R!HDVF6*rU{lySaIKfr&o89eu3EyT
zm8RcF{rvGHy^}qBjsJ>gAG{E9b^8VQ=C0PT0eD!GH}Wcc=1JT0PPju&uGtITrOe;j
z1$RY%k_m!mKX3{+!X_oGk3!+FaQh=ou$*`0_9*yzl)2MOxFO}8X*B$<qrk5gZkoE<
zoCNO;z5B2NuGw~r_8!b{F!7=a9+{Hx$bu(CD|rfG<;&{Rxp1ful~^&XR5xe(2>z}$
zW=`5a1>CC%kKsKXB5tJp(=wAyTLq8gGNz@&(Ru~SFW|Cg+K)2f4|#@<8sTROdq(cU
zi`$H+o8TP-PO~Yn$sCngJM74!urr?IU!+XzgwM(bN+rUkZ;NO@!ryjiTa)&fuyMZf
z5XtY1a*rYThm0PL!4gi!nPKokoA&esER~l~77jOxubKWL@n0rig5iUmvkAZ9l8VIn
zP*~*oecDy{Q>md~06cy^R{1a7OBZ`65T<NbdPJ*+-@in|&I_gumzbu9)9!?N`oJeV
zM@+ZC0+X^im*FUdwggsqRsZsH4|t`>mzD?4FyA@h0tW@zDf7W^WMem6f;ndzwu`|h
z@5snG!m-VTrV?<>x|^0W+}LQ|EDP_V+u~~j`xGnF9)VjaPej_m-J-wUkHe17N2@GI
zzCc%rDzPHxyR)$R?$GVp@aCMtHDmaKkge%y*!(#Mzd3y3`D+<#xWFY##{kx;%W}7Y
z$1ZO2I0Ij`r_=R--&~H(JPq6Wj7D6AsXd#@^k6Ht|5gLw4|~<VkoLH@l(S3_d?tN-
zn=b6f9T<EU7CmZmQXSr_X#6q-X5nmdIR&5DUYSw^t58bbQ-wz~@AQ?x7dZzyG~sKM
zS%S^5!?X;A3LGQtY1Imw4CcF%<4LMYT>1+i@R+?v`UgC|xk^)<Kzm=ivQrzLtMUol
z21^h7Jurg%5;9ac;p|P8>g0Ua-^|`?1NZDb%0qsSKT$8It>B8rvwEKJEY?BufzJeA
z4RnL|oJ#ZXgY7)&TS(luL{>ZvUa8u&MB)cB_?^>XNt!`k^82&Rxt=VAMdJrF$nT#&
zV-WHLcBxXbxByF8tp2Wo8&64ASi*VUFP&b&CsSfutzaWZ`~ElZjwk#hk}xNinNknD
zEA8U!0hrI1p=21Q3~TGz2oGMa?Vo}_L_{?(!T)w_b{>U~@$S%`Lw}A)F4y)+_~)US
zBeQVk*K;K!aD7sf;}kqNME{-StI*sto`A)(Py6-5cN$JV>4opKM$8StU%u?m=!O|~
zehBG?U0S2gJcYHzx!lR|eA|)j^c+rq+dVoC3soI|od?V1e?IdamX<N>D}ckAGMeV#
zv1<j^|G`XN+&(L?sA!f>4E)^Y%!c1EtIBMjH{6<C@L~yeWmtIa3GWdY)BXi7%*da%
zg6rqEP%gr}6k_Mj!CG$pZtL*DO;dMFVQJq(4=GP#eZGRe4AP%S?X|v*31)SOdQbWr
zWA2z3ZiF}8@f$UQi#G3SV26WN_ixsLhopSgIbg58B^5)MzN1G|0=_MpdifO0zP$gY
z6l{0oVxB%Mrhe;#Cj8rrp+^(uxH_~+8_tvXAWr_i=Ec{tUhw-nXDqZ~(|f!gKJd#W
z^&mYsF!!NuIP9GDx>y5l8d#5rgc<v5UTMK$xlOC_aJ<x^A1birIG0Qkyfu9{t2%s~
zIiEcrR$HTRJq$}091kyo^V<Ie9D$c9m{-c-n!~&41>r8;frr(wZpW5wLh#YuIoyqK
ztWm2w2W+U$7t;)HzA<ji4j23B2-Lz~S9Cc^|Mk@nrp+y|VvZl}9K2miHl4)pz3-_c
z{pVHMk0MBXY+*}2c|X}v(9c%~N9L6lkoV;@O7skq@E@~1$>e>yfaQ+l5%_Dvo1F(>
zCCVW6ad<geW3wbY@F;#@2o^JEZ(xDL&fjb#@z)QsG4c`R*~3JmVYq*vrTs6A7r1Py
zraS@D|N3Y619p(s>m>0R$sDHl@Y3LmY7(z=H(G9kHMAN}k?;5IX$~xhvq~KQj==(w
zH{71UZI4`|$oJbi{$3#CBN(&3AN>k{9;_TohB*&SzxxO~ygGW9jIU@nD1J`jWskOo
zdBJ!53)BZ;^>?mYtYPDd_e-B)pI+T{OIXC?P1pcT-<Emf1pHi~Np=(#_z`<W6)q01
zZtjD(RSvF+!b@M{yvXqi&i8#6A)jx!!PpD`PU3NAhlLAepOfRAo!)hh6@I|CN4*=i
zvT@^>!*~%hv3^N%J{+ZQ($2z+hwAG{yuGeGq910l=e<OZcc8G}w-=V8q^9bEe^;<r
zJc6@^j|-CTR|-9;RSa)p+g;uRvnZX(NrT%i^9z&nq4z2=J_TMqNKx4d_h9?DIQY)B
z#X0i##(sV+jfL~xc7?RThf5YV1jFKS<xB1G!GkKRf$;WA(P3|3mV{G#y<x5&-u2}A
zdhe3X=?O0y>Kl;jYvkCgRx%#u<F~g*TH)>lfht2dcq+4v#4j=N@8X0Vzjxjx-=E-;
z&bk$zjJ_{IzJGYbzT9^hZ<Eb*R_YT>G1{Ea2467~s3+$)b~%i%9FCi+b0g<(<K#i+
zCvf@O>lEbw4>|MU)qk+y7WZ)yf6);2C<cBRF6K$%uHAAnKCrCy)m`NGVK$@M;|1$n
z6e}aglRD38tqgDTysJvC9~YrNrxjuIeVRSwd~Uh4Q<4kLe|P&2x&Ey}*!ekN`t658
z$@h8Ry_Ne9<BdA+*GrJ=H`V0!GYZ7}j`O6?z)w~8HFS{iNsl@fR^Y4g+qyo$U3FsT
zsns#w$ywF38m=xfW?_Qky!SiRz^ro50$E{+9{FE6aBk8|k!>(lCJ#kE?0%pB9zUG!
z<7|=)$6VgZECl~`P<6Zqb1ZrJiNUUKZq$XtiK~`Bq+sQKv(8BP-Fm&n5m?ZFXvh*S
zQ004a5?*`5`_3FzF?)Pm36^qF+;a+MJ7!X@0*5%?<kW;8Onm<zNB14i)%V8%JS#Gj
zEu-v|q7o8W2`OY2B_pdOBqSL{$}VITLMSUKGb<z&k(m)vMiMf<5`M4q`}6sDpU?f=
zaqe07-gAx|f=}&x^KK_xcX{KEBXH{r-trwVLqSX#iQhkY<RU$+vFl<oi61_hYe5H}
zr&`>l1h0%%zWfjGla&Z+JyL~(x9T<gg+CsyVbX!qWDNv<!h@mIekWjth(W1eu%G0O
zX%jebPkZnHtn#GT(i|?yIUV;Ec6_s^)dpVJ*HYIFZ`#sGYX=YQH*W8Rg^E-?FTrk?
z-mJC3m+3nTF2gK~TFm5qIA19PL2p>JpWD734p?`N@`cX_C0uQUxzc{F2f^QERvuTu
zZ+SiBL*NFhYehA%-r+x4QE;Y|3<G&TkJ9KLcPvcr_l)-i%(~<g@(|{3H*`;j85KR3
z)8JW+cY&F3vc-Q6PhoLEo4#1Mwe@>%K5YHs^W+0~%*8>w1YZ7@=Hd@q{r7zCHEg(_
z-Y*ai-Xdq+2-i<lQeA+rGn`}i2ygmucHRMQTI)`#hpC$nXOj0Je>O|_lKA@_v$03v
zbkk&}2KeiABrkdYvL))`tM~A6%Z?p;;fTc*(GEB<(eKL^SVVhp;{a@1t@VC09JQeH
zfW&*n+?MEwpL?}-!4AnP;~Qa$$#0e|aISld$`al;{T3thsU6l&xgfIu|2dO*t{IkK
zi97QP?$Ire{{Y_(bvyAB{+qUa2igCo;F)&vzHEQ1T^mUsCeZt)4c01ewyJ}F%Vx7O
z!wPBPUCZ#tv@uFXSTdx?ZWeZ~D5W33`|@0Q$;E3h>lNmIUtkUSVU0yt!>Q|81>Cfq
zRd^k~o1yry3~o7U@PfqECU_Te;M90Mp%u8ZH{?eaJfjz0GzW_=DaD1rX*niQB<}23
zaXT1ZS&7{C2lhDO&ENueKP+z~``6e{xq1=47Cd7@_HV#uN`id9!L;{S1W8|^=EG|P
zt7Z8K{Df;Y>@>|`m-C&*zhLnzf91&cA_wg0evHB*vp;Oe_atj_r})QU23LP$J=nbQ
zZr&iQc=dGNVYnwzfbSb@nfvdN5?oe(JogLveS7C3`CewQwUzfP>|f<SPQJG>2>ADu
zTu%y`Q!0G0K=(zSKKNc1<6d4^iuXYdxt@QRNAHmDfwBu1xVqsI`&1wDJ&|b;e>S=P
z{4-ZS|A+69{4AU}Kf{~X6&n`efx5^i<a$2NX5}A)OTRR;x59PKUzxwdE$zQDNd7)t
zm2{7Mza=&$szdVcsT7Y}<ohiupCeyL{us!!VhMtaI$7TJz<=c&`N{WZ4m`{9!!RxF
zW)Dx;yzI@B?{HbcmYd#i;kA6uX;^|!bNC?aG^_TJTz{kVv!CVRUuODemSDbR(?A~b
z`)N7(4LW#!MCpHp3s##`X(I9Em8JKza0GXf>_3>IQlg3mew3fqK(428PYMV5e$R<x
za_@ie>l3}S^KhQhblq>5N3`ly2YjyX*h3O$5unX!hjnislbV5bx+Hd0zz$m9Kau=c
z_0w0N4E~Zae2(nDzQp2x(Qta1yer9HabjnGM#4&^dnic$`ZUCnNWRycpsN2u;=NY4
z!!E%=DX*MJe5^5$#S~8UC}Sf3A7;Ce(impR$$m)o@9K#0sUz^~pu_a@aKM3)W9o3l
zv0aHIfAaQ9r|*MD9iDF_`y2eNAyx(ss7;C^`BA#kxt4tI`p~ia!vtKzNmncm`{~tK
zkn2-(;rUlV*pYte9?74VI1Sp#_p`~qgF+;~eHdF=<$z6&Z9YZHpXia)88*1%*y1=T
ze+;FM^D)BKyMzTv{*&}sVy1@`%V`Tp{yWIG5>3AMeqHHq&<Q8re1403-~DRDXqc2Y
zJe`L7$oI+vB{^jzu2;<?M!t8x<`b+<@*6|KrkoNutu)~$$-liReMv9jNOpH0QeFx<
z3;)T4*JPc>Nd8rnT>G95cZjHZzJ;I1KW0sag<56v-ob9kwo4D-3caBZrEsb7%M;}L
z{J@bic~ZV-P^PK|!;RiyO~vq@F)imCaI=Nm+AElHRQ??K-ajrtJt800KJqP;%m)zU
zDN<huuSWOWaD&@-%o}FI!M3}*tl<T%?CM<jy#20s=U~GK54{Zd+PQ#j2C(EbR|QFb
zizkFl4^C?w(Mg5n*qDxx`Ryi0xZV`N%7Ie<pHI%osqbVK{N$-~<VM8rwC$~W1`oEz
z1(Nv`b*BCtPlv50+-S&rX$;r9rgLEFo!S3Q!o_=HZjkzr+f7r1%!igPxvQ9@&!P(8
zBJ-tDT^v_Wg3mp!x<uxWJQzz~kOE_r)4CO2ajaK<0N*WCE~|zoKX>Gi^tSnTb6>-3
zhr$%@!<$}N?Rf%o>r;P8fUkWj6Uu-s4N4uO;S21u-ei6bPt%7Tr2bwTHE_NMt4y7+
z4TpCagw&JyKDhP?wUYGtN6$RF0S_|xPy3Vf7yosU`9sQDhJ|m!iydEIyTOj171iBf
z?!lWAWPVT1f(Kq#;IkzjpX}h*Uw=KYfsHc+{+)%@JJdg(hr?#my3AmQXUf-g;kOco
zlw|&sn5yvSCt$xXv;8`-^yPqavhZK?XLRZ?>*IH^a&S`Xp?_q4v~(>@uMOX7SrS)(
zi^89umVvJ-iL=PU-8YuJx4{RujU6QOvyAlbFA#$Lwg&Ac^QC!-cPaD2l|GuMh2dB6
z%vbney~c^-+hGmYd@6RBAtTqD2QFP0mgj`Wl#HFZU_}f6CMGz9p}(FMo{jI_y9H)3
z4=<&G_3wMsZGw4EvTY{w(<rmP-o*@Sntr4r^QU>Gm{iihtCCx8_rr=O)65y+gStJ}
zzQCH-<bG1Y6b)wW&G6}1Lt{F4I7z&*3AQj88(l|x{GM_aKbfB=KX3K~HRA6R+jdmI
z-QO*%$@ZRpR10_p7hSN}!3t*_aR?{#{p{QJA%O?JnZ#R`2}`>+v}}c6#40yr!GE%3
z4~xL2$v<aOV3Q5Iu8{WmOK#@XG}yc>d2~0-_vxiXA}qiY#Y4`2MoZWJWcZ>H#a#t>
z?<<}#GXK}yp20s#u+Ash_z3vkn7*wh{P+pQRx;mKd>{qYaX8L{L!8Xl^|0`&yD{u|
z_+%%U-|F1eUd^+_7N>{Fd`oZHPnOuhQWO^=55Wd;-gjN#l?(Ps$}mIb!e38#{pT@l
zLAY~x_#?^BXEP2NZzn!yrF;k0N$1ODg>~v`v&j9Bah0x=4Gwv&#vKQ{&ZVE9$9&E5
z8+#@n!K+(txh}$)t`_E`d>D;9-1GykGK;P!<pYnBUF9fjyG(CH?sq-|znYhDG1HMq
zQhurFR~Em3Im}B1{$GB*@jK`Y{}jHySb_K*Q4viSI5>sXp49(Wqcf8&;V`|b)+V@|
z=}5K}eE6ubN*gRgU%F-h^9jyplkz<y^(4I!{QX`S4{0Ci^aaW4!uuGzj}O61a{{Vl
zzHnK}%T?pB)S&J~P55+R$=oE&>^bVG1t<R1w;}cW-={s9WWMu%6$76r(LOjbYL>_X
zuUt|(_ZRU4;hqh&@Vv?S7}7qN<5(@Dfg|JJ2+za)O8nnfF~55L{U4^Jey8Tl?p=Xr
zZPdqp!Bds*sOMoNH><6re)SnWwLA-NYpZ-p>euu1z9N(G!@17E3D|Wghv^3_VRC1+
z2acU;lOKe)L?_Gi!5fn<Ns;;DD`V$tNc&AeEZ&UFCqMX&a-jom@4k6}%r~zhN0Uy@
z_m#qzR%AYU;Y`MEQa}A|XF65~d)+TyAoWRqw8qtP_&e{b9i)D+{ITdn=DT0Fr7L>^
zpB32?N9MyXTBrU+u4l7hs$VYLsqlm$9%l6#cuMBi7o1K$oCwdJOip<WOAY>PiH6TD
zerZmG-((I@#=w@_QmW(O`yxB<g~BUpUniqruXV0Ql0P{sv%f~bTuipcLGZ|#NqVv#
zfbPn%JGWsrv9k4BaM6P}Za<jo=s!uao`7<Kw{8G@>g*>$vfjYe`no<Z*ztCJnhne&
zY2ZoHZ>;o+vx56(;x>}|r^tO}$^g~~l)dBwzrM`=pCMe8KRZb3gT%|HS47}S_bVLa
zc!Vd<Z4`%(QyvH=_0gH&jW1~7jrCJTkKu3~imFYpW9{>Xr?7jUD*Ioo=P+o!w2PeI
z>QXtufADzU>xU)q!72ltc{sStysZrWy;akA5q?rEq(=Hj)2YtSe!yvWjB*;`Emu#}
zPQqpDqj$UE9T8?zBXHu3cU3Pub5Uz)6sB}j+cN_9%N`dRfR8zLSdYRBF^W=O;g*XJ
zKTpAh%!+2+@HMAhw7+5YX>prgm~&>qa|w>;7K&(t1?K~vEyL<wObMUiFDu9R$o&#-
zNLl|LR@&I9M-7XvboaKx*B(2{aKPDu_0&!9o7@>&E;!OYALFFx|EX4V3c~LW#U8AK
zM-2{d5`uqF-#Aha-*%wCCJBGKYk9d6cJm9(+XeG~*7T`@4{)0b$iju2grB^E-DNus
z<Y3#tnTm4w)1Qm`wBQYt^*@T>!OatPI<VE=r?bWIwF57^Pr~umUVM3Q>#5xg#xM`t
z8Sw%*oMOf24E*Dd=*cWte5Y%HB|LIy+Wr}Qi<Tk!G8}1_e=i*#m-ef7gQ?e}A7;YA
z=XGU$V7Xr1ribMBv9BF`Vfwi(gK6-IP&1tfcmqcRT_XIV{H<>kY#N)zmJBOikDZQ(
z>m7`gW8kjm6hcYxHb+_QIQaHL>%DY%b*kSz0zN6D(3lDPc0Rmw56(W)mGuf<N;_11
z7v345)K>~~+~undgFhQE>ej+D8(&S_f^Xcv?Dqy9sk*Wr0>7zcw(5Wn-J+2UfW@d>
zW4ho?Mx*<0!cFH?XuiV5?_4Z>VD0P_`C)igf0u_J95JKJI|r{Z7o>Q?m2%0)=V6D&
zu&3UzrO?HyfAGuw^qsD7flK4;8q5`1Kj{Ilwb^}UIfnPQR24Wb!M_EnH*SHGhd8!f
zh7;o=J$YfPqd__jaO%Y9Q$ASC?wqj`?EmfMR#BMSx7p7cPC7)VCl0ed_KPL!ySTi5
zDlHFhqZqC}3vcIKu{j9q(N;8{gSj7m=um@wIJp+g;La5ux+Ac2^6&N2Fa^z&*Kzo{
zxu&Ec{MPY6t{(jT#NuI7SZPyV_&Hd>M8ioBj&T;QwT3O;Z1pgJ`=}OWF2E13*`{d2
z`z|S-cZNgl4?aBxmjp9+dBCkLz8&iDrX~GNUhqhy#N<)<;LD}S5crR>4Le?Hso5+l
zFAxf|u*nOm!LOScBJacOZqC{V;V>2Lx>)#ggNo51*u#N;-y^ub<MNIDu-vGrT`Fv9
z!x<wFE7fk$dJg|CQ>v1NJr61Pynrj_S>El1V`rJBD&V~<GJhoDN;h@EDmeNj<=QTo
z>nV3sBRqUTP(l<ImpS&P3BLcfT4@KoO=>Zt7q)8nY`-0T^g^ts4=%JzcN2ycy#8s8
z!kX+w$y?zBYRT(A;07iAB0-pCYuA}2`1M|selED@2}SfWJYFs`#sk0lubYBW7w@ZB
zin5aRfll4sAWIEbn$(JM!ZsCooE&hGTA4mGd|tOhn+wi-9&ElDj^6pKToBec?j1x2
zJJhxO+772H9*Lrd`-PvJm4tr;?=7c<18W+icfp1_?^-v)HJh*E^D(qH`}3C9uwGGB
zZp@RzaK&>kY6`@Ik}h&-!O#Dg?p{V*S1AO=6Rwxmc7+w#D*s%?NjP3%#rhBY$Jl$?
z2tLX5#(4oY(mrW<20oYn;K46AbJ6~uC4B0TSl%rB&WZQRWs+WGu4@9e=GvX*28Rxo
z4*!HD;%T{k;4o1Q*?yQ}ljsdU*lv+VWe|Quv*Gt`*wMJbu?y~fw@K(Od?PdHN)Ozq
z_5I#GSj?{BQV!f+-d>*qYv1LuCF@0fx1Ke802|$VAD#jqz5X>g0j8!Ez4;K%fANna
z8kWsg^1TFabCW;%2tMGQ=XMc(bV{!)7PkFomTU{tcM5Kbhrjc;L|elP$7JIp;g`x{
z-%r9iSDIGu!`FE-zUadW0exYiu%z>flq$S$%wmqD-$xNBd>Gz&*ExV3-{|e0t9#%N
zQUgCo`dyv&7p34nyPqC6;f;~6tNCFGE$u#%{!Xm%%dM~lm$4H$U;E#1?drsOVy=P(
zGUWd$tv+r44EwxzUPI28ZINQr3s~ZJ)?E@m*+*6N9R4Ntgopf}P;B$TMA*n~u8^D$
z-JwU)@vyAoufuoXkB0AWhQJ=wFEhen6|-#bVECO&-o7CC=(647C0Hn|w3%%0ub}?a
zMYuR7?-bd8#@(KW&%kQ4+Erx#shJ&R&0&kEL&wSfe_PD!BkRvK&8u>Tz(UpqZ3-}p
zymTgs?^XIJA_<QjPS|t{ereUsD*<=$1jUp5!{RpY%nch`_WvX4+x2K|$$EKHtqq}`
za6+tb$wrvNkYR?TPug`jj~cc<J$J($?i%>m^$+Xueb~?Z+yka=nEvn={_p*t!_Khu
ze>WEAV3jg@Hy1c)Pv+DNY%nyv!5+>UJ-|uU1N0o)u+I@r{}M_09k%Rl&^LqMUlZFk
z0PD@R1)hc-6ix||^#*s>7O|51E6RNK7+H^yYPw9F++WI0JJiT}g>A<Z+K<5(nBQD@
z2Zx3yQJ;WCoi|v&g^&4q-#-GMxt|nT4KKD{Z8!?^s|^OchBNgHjSj=Mlh>ZTgq2<%
z3s!~2ChF2&z+?4d913s%o7MYgu!|D!QAPN$b$)FQ%r@|+b1z)XeBx&s9Of`WD+}A_
zr4FaSd*aLENO`l;r^*lyryj^?+6|{PCs4$}s*Bf5#b7g^LpvkjXIYkaB;fI~gzaIl
z(b9hIZE*9H(y?1`MFqQ#5UlKzsu~D8C5`v+!1~gf7p}ogZg1%M;0)$`D=#>BBsPH!
zo;YG0dKsSlaN#`%%yXqK;1XQ?;m~O&I9}?)Gdq~KnJJ6~PJT9!W(zN#8sMdcPmkSx
zZvk65<>+pLcfVY(Jq;V&_3Ya~?EdWMNw_{wnTZPi7$q^H4}Uttko*_rJy%;NgEo9T
z=HthIu#d7C<x$w9Bi>>jW}~3pbr@dbH;Gt;4^%}6k@Y?`rUm(@VRNfr9#Zi27h(Q$
zuv)k8#hvgHuMx{6+*=|QCk$uDQK?SB9=>nFw!_*H?^?gXjTRz9tZ+*S@4j)Ezpt)~
z1uoGXto;fP_quPOgQMsD{tOdmaV^onxom2Ir2gaH(Y$R9>zk%_489=sU!|ry*FSjn
zW{TQp_^y4g(-gc#{(WXQ{6#6$imazvdE?IhR@kvfH|Pa?Ynx!?Al!F?`}%X(QK*Z*
z3qJIbWjO&Zlips`58n(O`~3hmZR=3!fR%6WR}X;;Ta(gzV7WE+gTZhg?eV>z;M4BZ
zC1m~LxOtOCvb|l5vw0Wcg!k0OE%3ASUP)v4lEU~n+1}~1?b{7u^MZSxA7K9r93JX0
zQ#|_@vc17U&WoyWUS_2OX%GCho-3t<=gtbuk@HcU*;z{s|Kz-3GXk${JOA?^)_+#L
zo)AOY14%=g^J_5At7V#B@P?D8j{b&AV#OS0;oYJK^k?C1Iw8HJJ+N=*!E~~|w1-ZX
z;u_q?x+V7;?BGqGhlLAN!c+YuKEUyZ1XM_Vm6OqvX@P47Z$2maIp{2NcRqZe#>qo~
zq<7bC$%St!Qc!ck$IBWUec^zumOF&W@1?d@`M_?vze{-Gq!&3hWW8?|6=@$54}ZaA
zej5JARk>*^e1Ph(;ZE3U%l6&m{``HX(Oe2HU`k4nhV_LuQ82@fT}sxZyzm{rwP`cV
zt5orslqXzkY!(~f)Skutny@TGiXmA)ea7GO4QYQo%XMx20UMb~<Mm%WkM5^?I|_%U
z=6xgOP2i(@Je_cV%WDl4IPLac*3WQYf&6DVSbW!NSOv^&Q)sIUZ<EitRR+KLCXVGj
zFy3fAmG>OJp`0u%4^O;)m`T>3=hNR(v<E(Naik>+W~~Ysk%76n5*jn%$LAI=?|?nD
zzy2oc+jkA0OWO(Ot0#>m!PXodd&v3P{C8w?4BU~Ua84ASa<ktM1s|^D^JRw_xr%p$
zz)=^j=aK8tyR6A`3$80NZ>E9EL*v!1!^_uS{w3v&QIEo2FL>#{C@#`|Tr`a`zYK31
z96d_%i=K+T;U&0xR=;ZoX3(g<ZU-AorfmEJzmE65Xbr2pz9LNWr`p}F*wb*?r`Lug
ze?~2qg`2^%kzym{em;1SyF?$Ze&w`<+@H_IDGE-&OtkH(o$y!LYKp@!>up_%FR;kd
z!sSD-$mQpeZSaQ$XI&{+bvN$}Nk1Uups^DcExdl?BOIYB!$u8@-H>-7_iv!BG6N;d
zUKqPd%7-d3joXu|xW6bm!pZ%6@ZuT2aX7X^ijUmCcQiM(_rQuzRj;GMQ~9K^v$+c%
z;7FivhA*G#;(H4x?nrVX>HXO$I2vHJ-826+z&U$Om0!b_29pxxey)_ieV_u?8B;2$
zh8_C`EnmPL{QJggVQ*=6v*+-pBS9WzaK5Q?Kn_e3>5)nL6E9b?ytClIqmBDWf5R(_
zGCc)e$arq^5_U~gOL_>`OmCRWg_nE`xPoD8+w1_6{(SU9mRqod-aN}Q_<n$%^%a=y
zUb;&GT%eb6+70I9{I&W7-gNj`*J*g4qantPQ9tcrY&C;TBNDb|!n_@&+qK~dTYjG$
z_>`{@?@`!X*lJT6Y;4tXQ4W@r|Lj20E4)!TFAL8_vM(jWt9FC?m|?e9_TRH$)@qww
zjIc*_x_b&7$RQ~*pn~}xTDYUh@w9zx;Om2FqfZECz)6=a*mGgJ%X<!y{@B?&%uG*V
z_NlYY*|4hvP0?LgXz$W(5+7oE`!odpV=9DoH1PiNywa){EcL153OPPDL%PMQaCzh^
z*4;q+X!EZ`Q#e?1PYsC|tu)>@h8bfFPmnklSCaezcq^?MLq6ORaZ6@DT*_;mK;qJt
zT!&K*<NIWO3oer1JU9M2k_Lacbm9)Fuguc7o_B)%&uX`k{@YK@z6%%OQ|qegzu|>H
z8CFX0LfuDmQh&#^ET2|{`wd$s$o)3<AV-`X{uv<tnUvo>PORIvzy}+Jtw?>&I#5|Z
zr;O{B5wvw3URT;*H3JXa_st>k$6T#eZSaeu$u=aOywSwG6^<B*oF(!4-vW8naAQ=^
zi50l>LH?81uxjJge$pOD+-SD_3B0GQ(VmnK>g|7cGvLbT;ssJZynf(bbqh8;tWZGW
zk+TA&fpFj(Ath2D`Q<Wo9fMB|?hGL9nY#`;{m0>E0qs9@u#;wG@{$t959ZgVNqekD
zzw_}jtZgM`Masu`uF&_h@Bv4;NK!shd3iMahE-`;_(}N~%e55M1fN_JrXuaXbl3U2
zjj*ELViYMaHR3603gC>JpLj`o(Up^NJr_Rim6A<<FWOz177p)flQ~D?$45JpLSaL<
zf4@lFh4ZTNMR@Gdu}l(AD|#gF1m{h$?h}D`nC|Y=fj>_1Pm;J-pk1dHd~)ooCyCp3
z=7=f4n-q0FllqOOd~%x{yz+^`iX5-xa+vlWcq@BF1ZjUt@A|AR1=k<)<|Fmz+qtV3
zMd9rG!aAh=x${b$oiNO-H`GnqpNHz~Be%k(WkEEg{1-aHaElA39a`B&%K!MFm$@vk
zqJ7c{QvR2J-4;g+)9Kv^`i|>!X1uFv{Se;ArsjMx2G3;0hW&!eeq7E^g2x7GY!=`n
zBg6g)aHABr;cqzL?cW{#u!4%5<Pu!|!s(wc?AR9mYY5JEqh#9->t6_}ABTJCyuS;;
zy92n2N8nY9TM;xcy}0DS7uaf;zLFNU*56(70dD3jOZtHEu!VmnL-laN=>B&tFnd%?
zXAN8?5j6T5&fHzMRtm?nt+3*yO%+)=`{h?~M0i?C39NM{PN)D*3ET3q3^tgW;(7*K
zNn4C(!;aM3Rny^U-M1Xi;O@KaifOR*Rj2gF@HI)g^9gX%lTV*A;FD`rmJi?v8@IE`
zB)#L#qT4Xbf6`^CaOA>dZV+6h|4EaKUxqw2S@(cdMSRmpdcJ9azwYojH}9Spxb#7#
zhXowb@b6V3oVyxz`7|tR8K-d%rn_P<OAQ+zO_Y5KmwP)O+z21jVaP6m|9hGqwy22u
z<AEF{IbNo!jOhR1@2pR+RKt7UaDFL+Ka|(^e}ZdhWI9XWq7WUYCfHE+;93F9&ZGFC
z89vZ(YB>*<y;dz!2QOT=6?y`H5qM@$4~w0?!=C{kX50O>0_IAL)l7z^KCm-Z!O`{A
zs)=x$VO+vX*vzf>{$1E=+4v7R|6N9mks<JP{!ahra7i6csXr`4pP%;vzA|U<;szXC
zyHk-|5AA=>G%j#dOKVI4OgWmr!5O|PbWA7<F5cYfV+=E8re^2Cl3Rs54dJ3k+y}^b
z@P{S&ck1w)!_kpButIr6y(&!IwUIv!o*v2I+zW4b<$RT-KXHa?i!}Uoe2D5He5jq<
zb{qVb_P`mEKAhU$QUE^L{bZ6{-`<9p=gja9*-3Sho}-XDj}dlAGixK)w?IwQ;MYNv
zf3&$bN&IGchVD;zPKc8=7VhaNo_P;nv=n<o;>KUpr{2NWCByVdyxm^Yz6jnj{<D*e
ze+xzpTNlEoPo1#25A$9a7>I|1;%<*8z{;;~^~S+``9D0O;Wb}3Ur$(q<G47<U%yOt
zczeJ%`?HEke4E6U`7`i<LWlx6o;hKBz6h6OeQk_{*)>X>G~ke13CH5#kJiC<YVhy)
zUp?XQ@ph|WNqGN){~2<;b8Jcj60l-n+hi!L`kB>?6`l-Lb|Lw>Q*POi1<w8z`tJ^G
zee`Y1k^<@zt#*Gh{{OS3ym<juGvH$mflm~=y?g*~U})qg_hYj_^z&HQcr*1ga=dT0
z*d)opQPvKnB>z}D=01>xGtMU-A^GQe$A&EeFhkgbCX(MgPM9$B!F~rCjY)pkdwSTC
z5$5?#l}GZ=p|Hai^sup<^g)szG^%yiC*@Jz8F-D8_?ln&$~e5Blj=d@!P+H{-oaNC
zGKKTu4GH^`-ohHAO@$=>=7j@CAxtl}ZC@^&D>lcP4@Y^a)R5;F53=oT9>In2EL@~K
zy8n6EG8vY;BbAW?vu0g-9tMk!PyQw8dG2n?zY7;%-55gh1H;UI33oX74+T9rKf#NA
zBChb#4&Ddk{1m*{ka7xk5dF<f%BQq}7fGgY8x{4F2XNJJpt3x?rE>HniKiqUQ9J<K
z=q`LE@!CBF8(Cm;lfn|R{cYcFQ8B^sk1I4teiD4}spY#Io)1hi^O55fI8yfh8@%fe
zdk!h@HY(n#E{3-T%seIM`>fv0$|AT>Z$^&XPZxFw7T$!r66F-g`7_GcpBDg6?~(cc
z^PKN<yWZ)*I|m=l79*~M88@_GR*mQz<a~-`MU?Tt=a0tUAmvMfdB-a**y74926DZZ
z3%Ya058(aby-W0@d@6arFY5>VTWsI~DW76D(<PR`;VBhyq`d36f9=6b*vdRfxEy}*
z=!I1Tyt^iRiIjiu`4ud~;KvFMw<=*jm8lKRuv_;tsRlShFJR3H_M{FhC-EWqDo;ar
zhnAKCdA=lj(bB^JP8HbNNVeaU(mF&B&-g~FlKSm{U-TdyoUVAPg>0|2NO60!ES`Uw
zL<)4n{q4MhP4Jsp{bwY7!$DDnXgKCo&Zhymc8`EuB)n79_Dm;yj9tK6A3oPy@azYP
z>+JVD0n2e&%MZeRT5ocO_M?5JwRGbj>>}p-Yy|dqI5|g+`j};oqmmOoRjDtc1ZO<;
zdd&^@7}h^H0*e+gq#5l)`G2S&&IdM(UrRX&-*_%8><-6hln$`LD`|EPx8UQhP5rF!
zq2=~@lD;stw|QhQ?msr3@etVY;D+WQxc`9P71F-gm6SE_24C)&%y|UAqu(%p8Ggs7
zejpB>@oO#9hR3R0*U9r6g_(n8N8#{y^`Y_b!Mdp%+hE?rP@{BMf8T{00<fZe?@%JV
zV6(2iB!lsu^YS^QJ^!~eN__#&T=18D2zQP7NjJiAK2D-f;R8+L()F-qZ|-x_|JlSn
z&KC=}QBkIm{=tgf6TbU!*B)gl(!Z)%lG|hp^RBIJCH=D-FBvyk!)gER&nDaR|JcH}
z6W)?SQ$_lNFYI6Q?SPZr_v?`UOjvuwFa^B(=#I^m#FwIm*QN2j-Pe=JWP22MlT63q
z#E2hT%Hi+2Ii^2g=?=ye@_W;@4GWF1O4H9nB>v1;V4)rkZDe{!;^{VPL$UDfB+Hjo
zaEj#K;rs9fM<3N!@R7eMnHS+(A^*{k{;S`cADK>YJ1@(<Qn=E8N$nW?vu}PkiRTX<
zSJ#GZ#c3-@-2L*2p&jtm!W>f)m$E4y5{D1GEcr&_5(@np8({M}k*qf){chvTwLNIR
zR!Z%wfR%+Kqgr7GBME-ezg`a!i2ev0PfO;I{xyYMk5oSFs@kDJ;-6(acjv-hvF)Eo
zd{lTjJq8}<J%6MTrqs;HxChJfpKE&!f5~xhxBx4p7~dzqUuh9@bcDI>j|tYmYxIRQ
zI&dP(&T<mBYVh5t1;<76X_7dn_vYqpaKwHS+V}9Q1GCKnu*Y?^`*rYY@k#sj-59^_
z36&yo8aj1{Rk;0&dl`w_*v3!~!tSfyh9v$?H-@GkRw_U9mBcG)ny%HuU0+_Fd<Vbb
z=<un7Z)(O3lK&UTV&qPTSw4w+k$8!&1Wy|5zDPk$&i9o|+7WkP0TBw%w{WVWYvgS>
za=Dk1oF6)x=$#I5$;4a|i4WN~?XrXUuDul}acAT1-^#GX%cdV>`vR5QXAi+SjPY({
z`*r)+iaB7JOENNKywmy7<(F*m<FJ)Vay@6$G`yyy@H~`V%7=`fly83NJqdR$&u%2w
zV>0c+p*Qf@lZtvWK03?(Td5WnH1g3W=Q}|*WJ4nCE;hjQ8K%e+pp1vjk{%?G@tHA$
zYd;;}Gnxk1Nq<}9koYe<SS*r;j`YXN_OA;|z?pp)WryJAOYcO*;OfmhwIqF2w!1qg
zTxh1vNXCczqaV9+!;TCo{$xB$dMkU1`!2M1pI^SmivAP5x>TAg{9|>a02!~B)}&yV
z---Qk<-JV$rypevndV>(=Cl>kpUXM0A>a#~*B9kP`m@Y>XK(hvu{+ooN&oLfKlM@#
z?BP6MD-MtFyDV41b{EggknvUzt6<Fncxu1!LDC;hu~^p1gOhqv8%X~!lyP(1Lzs5Z
zh(!?2tqqM&f_=q4C6fLi`(WDlQ24Wh+bBuD<G9%P9eAtBPnRw5-Y!MiYp_M9PZ>!s
zzuqM01^e00X)wdI3j?<t;OD}w5hVTJZui@EaLMWKJoIpD8q3NF_`d<lkj-#t-t$#m
z*rw5)jr8xU92#Vp;rCTm^5l8SkGHq>Gr~I_G`}I~6W%Xn%}e5aod`=A^87hMaChb+
z%oVkqNsebCU-`Q~oMF-XmOM|Iw@@Dmgw=Nk9MXcfD6Ahm1oynL2{ecE-FcJ`!mBnf
zm<-`Z)|Xbdz{PWW>d5nA+03L3tgzeJYsZaY-~9N5*&V1aJMRsU_~@O^<lpepdXEE%
z*T>e$VnUc2%>()WkvIcAi$V*mylv(tiC^cLYRiYII0M<v!o^}*ow=}fb@d|>&p*g<
zDIB)C!n~Wre+>D%hQe$EN6Sb&(PH4SE_}*Bu-guPc*^dH4!oYLZ%xwo>ulN*CxQRB
z@V`f%-*z08VUCB5yKQO7^I%zVx+h-nE#F%)sjx3r_`3$r>0jKG1JC8H{&Ip{m44{u
z!F_e?lNVv-o2~UPVb|O`b7Pp+@51g%nCEz#sVOWXX_{US`|h)ScNmU8*3S4IuC;V(
zP=%?{B>oIjtB)Lzgug%L{n-mw|NXjm7aYaSaBc+N&_LPD2tO**o0^0L<L4Wg;VZY*
zt^UAGz82YE#nB#-P}sNOIL5of6f=h5-~0Av)4>Bmx*W}L<B7kUSzxM4A=VG@!|H_~
zE?7sOJFploT1%ehhb6B3@O=fRcO=?~!K*a2(~sa+a@#-bf-e^bPo~0UZrfF5;kDP@
z{sAyvV*Q{5zX*=LeiL>Q)Kk@j&2CEnx&Xf&xt*g6AL|+(cZQ#Q2^TPiTRxpXWdf_!
zW(J$X{dvsBW-z-z{)!E3@Wiu01uhZKv~hxsn7C`zV9$wy9yi!6war8r?)u7W;{*TN
zW_MB))?Ak8xd~f*a^X8AhWugm%eVqQQ@MY;Df}<3ai|EM`o1le4jzaumTiIux6mhU
zgwK4xSyK%gX?gA~6vg+!-NmxqaFck5Tt58!n0HMJ{9#E$Sq0wyFE4%yzC3VST^Tm2
zuoWJKD;V`9oJ26b!*o7}{{+S>N@t}U;G^#;_H)1-&UtmLaP2PH)Lrn2Pgk2*;7u%V
zB}HIaKX$fv!pINxMuu|maLF3?TR5(8U|=__IUH=G4L>+PF`*A1qkrmn6wZBZeMJji
z5;u#WgSp1Od7Xk2Ud6|3gwGr@rZRv}*-YqU3t{|v-<}XBxLCm0;0f$k6|=<}PX8N_
zU<rTlFWv6}--%#OJp%`Eb5vi1r_5D;eBF-sF&~#zN5GsvXnqaAl+QNm1jBjKm+Mqu
z!?B$Wg|KPW`3g1Iq-OSD8GP??!-jv`P#;v+n|y%HX&x=F!gn(6edvJu%<K>P!-4<t
z)-A$TF7*2X;f}y1xpjEE*IRl+c(XYD9|k=<zb!STGKNFPembzjSLga(Nx^Sb9jFE2
z{1%IXJ#dfaiEH9;&gMB@Zdi)xVz(50%h`#I7oKo8I(`6Ncs+W961F;F@bnO@mt^Eg
z4L5Qg+I9q<sk*lDyCBMIChFwlFvZiswI6W3#2l*$JezR;c{O~`%{2EM{7!H@rxrfc
zt}WyUpU^Ipe+=^*+<oW@oAv)EodKs%`LkVv?KNkU!eAx;cP{?0%qf|e2v{+u_In6?
zzMXmfDjX#|sTv74+iEU(!Rzs(B@f_(zv!&3;Fg0^Y>!~hb-B|va1QIlohNX2+}HYJ
za7jb!_gt7tV&m)M@ZxHV`AhhM%Vuh2nA?XUp$smWllgZTb{D2(se|QZa_l7F%pXNg
zO>oS<y0en7+04tKPjFm-z`HH5NW+ms-S8mgo?3QTO!`>SS9li>EgcP9SEv5_8>}0)
zWdkkT@lfad6x?Cauel_E@^-iE;~BWLc0_p@w)9rwUWUDN9|cXoezd&Ct1xqVitkVO
zS)K5E8hu=kaozep*yY3=Ej=tNtz9_)KlNVq-2$8L8K-Q4mno~tIbklxuYX(NgO8e}
z1>vI=FKtWVNViX+qOi7mhDA9{?edjkH_R$0oc<Ip+HhTYFYG$Rn3M}kI)@b>gfn}K
zsAEa|xCM(UOh*y(FAg@^>Jp?42j7`fyA6*OkJTQBc^|hNyaV5vTahz?FQ{o`xWW;G
zvG*+CnjWrXclelZF5P*UTFhj`2G$jzIN}JO$rJf<9;TJzsc?ly=N;8gz&*mg9A0qs
z@*YKfIQ9O6P=8p!*m+U{)^Pl@JruT_5gw6*wfVNh--pMvC62Md&&>Gd5@22HE;SC~
zi%JfUVW|(*&sO=dza?UI+3-E9^Xcnwz%Cv6=kQ41KE`o4EojTV5_sG6C#p#}*j%2j
z2A=o2b+H}Jt@~=#2>+nvvF(7bEz|b2z{cs%KUBh(E=9<6!rl2w^;Iy(#<HvdIP74U
zUJ7i_`Ay&lTycW&Xc|1ZzBzUp-Vo$ia0eDm*Pfn-9XW=dgu<@Bylq$EWD8-IEAWel
z(XXitaQ+?dZM+IMXw~myg!O96E}ezjX)40Dz}4E@?9Ra%tTU8b;U8_?Gb(Vb|7mYw
z_<;4^aW$B6@ZRs8a9nzon=m|bwf6jeI9!p*Nfe$HUF|yrca`_FF~J<Wz4xob3M~Tf
zSm0WvlBdVuTSMlCGkh4IV7al)2;RODt1}0`zFZw=0iR42UuuR;6w-It!yk^Hoc;he
z_K&By!1Ui&^6X%m_e^}D@IU^wSGMr@R7GYW9QJxeni(D&I{rNYRtowoz8O~MdTRa{
ze(2|(roI*JO}g}>y|9(`p9e?a6G~iF!?1vjgPH)WL0hdm1)Eg%$ZvxUedXTF!?`zT
zYd65_er&R<a8=)h5=z)qGx8bDNwgnST={?UqP=bQaRVdl$@!7(7kvB1F;8~*Y;=it
zC!G4g;R7$s^OgQ`H*C&7p(ae?4;z<C;Algc;+^oRX{PBi_|lG-lKWu`mq#9naJ64;
z(joZto8Ak_@Uu*<El1$3HEbLnaKTaa6g~KR+F=Gym_EOS!wjB?xy>UF$JoR#I>6fI
zp27#<zuq+d=V0&QRXZ{Gz6x`xE$ra1cv%GYrS?{}falJZ-{XV1{I8xl3!joHP3DDv
z4S)S%4BG{%4$;H!HhmO04I6T6P13=8dG==;z#|?^j1=&d2H|=`SkZ`wbDan8o4egP
zehj{GHS^SOnD*c4AhQ2P9OX8@U>egZ=A&>((~+zJxR~>XCQ08ZZu7hkwif)_ss@kh
zKIg25^?1$-Yr|?0cNiPtfZ_E7^8bzRD_!$po}n|pOyRkkVfKaaC0a^ba{Pbh4X2~v
zan8kda(<%oxkm57iQx~mUE$(H7HuDRCNnSD6Mo;^tn3TF@-b!ehvhTq1D)Z%kW8Ih
z@UQ9`PZ!wrqke4|yxU~1+!C&6i~27LzH}zN&<Yj~QgTUv0}31e7{Gr1E>9l9^6739
zhH&m<e*P!$pf}5jLvTvmN0(eUVWdc18UDm|<3}+p{r>qo0a%LbuF-3lQ=YGb4_4{y
z93b(Idt6*hury~Kdl{Twb9XxfY!S%ts1O#-53*h1#`xg!_YRW2JDI{|8BS%BI!pdf
zo&VqS3Am(YA%>*y`ruzV28-S~D3A^74P9IBhEHCcH6rP&^y%ok;OUWlgXyr-62<XG
zSpHuRJ4ydSBHpwf-m;zNQ3_mY9i3PVdtT1%An7}eq%(`)81>0BNwBHVj`7DZ|GNt@
zB)w+mr@2%(R40r70es=WJK1Phej}F=Nx$Q%w@M`ZPgZ~69?X&AdeaZ?6whZP>61T8
zM)<<ZG~bgWU=ItSHfNY(x6EgfzTRN8?*bfMe%|6PoOcPeFWk(XdXJ>97J0JcH2l%9
zeQPj0>C6$K2G<_k<V>!&#_6ee75Mmm`Nf;?mH^{b30THg>nPb?S-L!(IIJ&w<x>Eh
zl$~^u1r{7SvpockrU><9f~QP^pZdW|qhoywT(}-K+ABe@>XmOl{=hpEF5U8lZ9imR
z?0|JfhJTazW7=ZRcDVirr8kL(oTa>ZAAUd~tVi~L(WB2Z7N)ztsWA@z*rc`U0k6D&
zEltkv^FfX|PgpM|D=Q0DRHQdK2RHTHUdn?-8d`L$VbOK>ORr#6mF#>SxI%qjRVB=z
zY@4nNb2e?4ZGhXlg=l5raK@Tj?_pEzu9XAu*XhEQ&#=T~u0I!SXOwxqpTtiYdGNrF
zw-WkC;n~9O9twE6dt&EL`1bv)AF1H(^FxpS!2I-IrKdPC9$LyWw+t^>dWcTL>KSy7
zl!h2DS*Q!?f*Th&OX=X4Dt+G`*!J+2J*=>u`^}*mI5cwImkTy5pzExImkzAX3&Jw?
zyj(Bft#)^Ih`^h}5*c2?$vz>eyI?k|N5?ZsJY{32G~B+KM=cA^6{6KufIZ{bZBpR*
zovL<<uryVKX&O8!r8b}rmpt}Lh=x7(<g#kPd;gmXzYkwe$q&(oKbgF1y$SD(rGIS%
zuf)jL2f;_&nfIT8&qZwe?h8kpmpfqzJME0<^@BInDK^-{XNwHBUWPBn-dw%_|0h?@
z;s*b-ymR>q9MBLe?F6%{X5YOEPvra)xd>C<&8P5#X=lA}8<F_dMZF+6>}ZdV3H-8l
ztuY*Ci^)tr0jI>V3`fFx+LY1ya7G2USv>4`HL6_&-eM#jmJI)48*fyDw~rm9%7g>v
zv&RmS-#=C5&w`6)*7^>S^p(0X1@PM=SNNsiNE!X67w`_r2G%_=-E)h>m2mDO@4ezM
zrOl~RRq&JHCb1px$T_=Djd0vqQ3oDa?u9Y+d-(Ak7mKYhub{2ZXPDt0moFRaR&5g7
z2`6to=gI+B<(y|6gtcnYi)i4o9u<`lxJ72{2`x+~V^A^)Gqwc2UFX1fL$yNN6ioN1
zzJdbrQ*k<43$UKk?|-w1H>9y%Uxv2}?V9}qU;iQehr$Tu@5u_*DOkgXl8G9&a9E_7
zhONaoZZX2Ib^XPDz~v8S9x}s5wPn2Huv#w_2N(R7zt+45rg&PYwH0Q#wxIU~4ms6O
zEewmtPDeGv3jDTz#Nmy-{6Qb!%7fROq+uKBn9O=O;=abMy>M`QZ9*e_eUJIdL3n`u
z@t0TdhSu-955w0VHMf+)-+NXwkHVMk?EhT|#|c(dYr|@;=HH6oiL9;zCt;7xHB`^w
zP2cY88xfm)U&@6WCUW0ez~6E-xHDmM9{b_5FvAH4#w<ASk-wQed^Uvl_ygGD=Va&w
zxP?tYH39Y+q@lV3=l>10iiWFKUh-Xq4~%9T--k~)x81)1tNJZ^gu)9qZshsHeT}S6
z;qdQEi6VDkCeG7$gW$O<8p@&YiwgG}w_%HK=U(22FZ^1n@`PvlpN>C(MXxcw@P_rv
znk-Y{Cl*?tUE!Ww2k*zQ#ZmLO?r;X}?U|?W{6O^B1vuchFnu1JDwf{o4A(TN1-yhe
zjZyKPh5Lfsip$`~oSQeFgPA_w+gS%Ys~nUzgO5HIJyH)(e$)^-4Nur>R(^o1pE+ur
zgq>u%I$L1A2X694@C}b8-EMgFdx4h*T(Q9D-v`r_zPP9fzscIO^bP)7KazU@{=*|D
zISx1b4yVe)Qwrv3Gw_Fxb2ZX%%tUYb9Be)MyLd0Wc6&``1$O4zxF7^Obj;eW!?EmZ
z<05d)5LZ8~G2-bP9ckcVmv+_7a8~@B1ugu$X{D4K-mu!*KgN#w^4v9n?QqTL?D%(B
zS^IbviARL=OLW1bZF9YR@Z){7vK{arr#IH@aHi6#(FgdwCd+kBxOTskRWt13H%QG4
zYYmG8)WJ6{iwcnccMv%pUIUkE{dq$6&&%B~uN2;(CtI@#cC>45D25+>{Mhy%j^|iw
z)AwAsZh6zszwk|}6KmNd-udX?1gsEjAdm*9h<9>K!7(O@k|}V(zlV>=`5o~|(Rlzb
z*|e5?hyR8s+1!V1`p>-UfQ6fm-VB8k9Pf;D!Cll3Bk#cfG3s3)*E8iuc0mB_U*K`;
z6D;CFRp|$Z%_%T7!Et{!_j|%NPtC=e;jy=u$30-KaDjqanCiD5-6i<wX~m{D@K%=Z
z>=)sp{(t%v@I=qTep^_+n%(I&T%&PL)fzS#?wBivk34s?It}md9b+hgyB$WH&0v<K
zCo%bOe-T~27A#p_)mQ{uN(Gc_!dG|s=#l*YOsj-<5BYuJjl@Fu)T*Mm6kPI6PB<I(
zjSn4LWyANwA3v6o{}be%`?3!I-Onpc_U94H67LKg*4JZ2j%V(Q8S@-W|6Hv19o$`R
zw0jc1^moJDdsy7Jc>5H5;DnwdIlrc!&s0ZAJX9=@oZpnVO|n1WpfeuJgE04z6{A7;
zc7*npVOX!$RBH&H7>vI|t}nfahC>frOy%_WCoHx4$ovaz*Ivdm4~wz~`?SMLlehOS
z!h3YSUh07V$o1r`!Im7g5g*_q8tHW#kiYJ-xOsen*BmvTv%;=i$6}jc^;1mEY;btr
z<B(=}RpzWJ$?wSzu4dQ4%j_bj1>msK4@vbf%|(wkF}Ow|siG3DRFj{Sfc>BR&aZ;E
za^JO*fm?X}r}JUQ=QQ_a;YQ!q;X?TMycxYR+!qi{kpmCDVii__@2h^De+qMXoln$)
z;|5IjC&3#hKD^h3?E_Q9AHp?ULh8ow!~mUrI6UO#bLABL#$NYyBrM3${?iI>GdNl1
z2|wU?EsF;#D$`owx!&*%X3o6JaHeE%&Oul;HPkf#wx6|oB@fH)-uc%HwzFv1&jY_n
zr?en(@2;1sT<|UGN24VE<coXi`WB>LZI|+ck3?P0TZQKYFTA=6Z@DeO_ydl2^IpFW
zt9r@sjKY?t%pq6cvu7?psE5Tg6(>l1jp9y59ZbLW-j&4DgG+_d;T4aU?Id0^IJ74X
z=AlqCC-Dg?iu?eWjdHw##P72xRQSPB=PqlIxZ2fsW@d2qgW<{>uwNd#oe5m<#r6o<
zKc~tNsy#4gyYp**__W~IW+`}J`R5UGeB&-gE*x-VZB;n=eKK?PbvF3lGX+la`=Si_
zWCpmaX!~xGULZ0%XA@kel=R94R+oM_zRZgD<+U?E++l}7j>RQ-{#D1N3vj?h6vqtQ
zJ(VBq3>$u97M_MbzY}3O5078<3+RG9OXE#QdiUH-ksYwE8N*j=_^sTPUzKojs+pK0
z%$!5NQVv^EHRYd!i-J3iY+;eIl_F0#Z~nfuH9YQcPLb^2r#(A{)L{MOn+YU7Y_Rl8
z1y0>Ix}C%=eFSuOz@L5?ICv2E{&z|o_Ss!9a}n-OX<J<1jQ*Kt<$3aZEy-%?H8>`d
zefkpI!`@oc0`pE&T=RjsG(NX{fFH0KQIhjfdHmJghp?AfZaB$5v_ft1N$`}%e;j0c
z6B(^x{P1DBy5M;DQ@e1|R`{>vI&%~pa-TKRgay~vVaL&W*y)j7oEiM$Csp+aIOmVu
z76n-89vx37EH+(0r3j0j{Sh?)A4|P=P8jxRQS0~y|E2tFAPSGo3+Yb5q8ADxIpB~z
z%U&~ZW&Wf;7c5ivW#&Kl$CuJ7TKLKMWBygxV12q^6MSbZD3-<q?c<@=77Dmxdh{7B
zTz8hbh6=uSp-Ff%{I{fR^$#=df2-^I>~It3#Pk9@sbkf|2fy5Cb!-rJ6*giJhWC8D
zeP{@tuv5Ib6PDe?f9(_eRq=hn9$2AJ`9eD!_Vb0fJV{^JkX;8)Ka({&1n0<&B-F!i
z-U@!ufbXuH?k<L}x!?a!3wE?|YkCFWT)A=C0N(erpC$|Txi^|@3|sH}y_gN>1h=uD
zh1va%?N5L|)9p~ThW)e5M3Z1iN3Jp_n4{#0btrtH>)iKCa9(x3VK_YYSpSSCy#4-k
zlrOw{CG?ID+~zYI;0M3o=Sy)57Ge{wc7Z88pGt+mJ$>5>UE$iT4>O}+Dmjf`R`6%-
z%C;Ez+1EpZHgNIjLhXle-kQNyBRI^x)*}txfBOid34C|v)vp}bh)Os306a^RccciW
z^4{ku4;#JDd|eJtPcYAN!&dE<9B<&;x|74aF!zvo_<K06DA9a{3G+$x^p1Xp2Pm9$
zSK%YOdoB9m{YKJve!+!X14D-3;lRJ%zu}UBzzq|yxTk6S7+iDoB<D}~@tWYB3ApsO
zVZ<NU!uMlCFMLI9yle>;9F2O_2fIyA%4{%2`|Q$i$7gu!;liVoFw5@rhEABy@kKQ~
z%+xDK*$5BM?EA?KXO0(rdk5#_9_kZ>b!_);D~Ip>E!-#qA1nU3xe|5^dv#+M%&#Q6
zrx?Ef<U-7Dxb}O$;49etl`Eqh{9K4tIUioF6&6x}=Y-$xE`+P}BokHPzwC>;*>IO`
zZ-F}8e(9;wQ}~YAkhm^9&DLT57-l;frgQ?PIHsud1lFERl(K|9B`wS!!6!>K)UDuL
zS{B_@7|((#9AVKUNvC*NkLAy&3-Iu#zSD{DJCPNwEAT1qIj?(gcITtBS78oX!_#r_
z)v$sSx8c_z=e#0FdOic&J8+5WX2&RaTh*!lXjspa`*sN2arnR4`~Oeh=y?|wvZQcI
zhE?3&#RkH%?a6+RVE%rO;9KwwmnTb4;9L!tx+`$H;%A{}Fk3k1i>vU0#$e(Lcq=1Q
z+a-9zBbUOL@NjNX?PXY3)JLKUc2v2)dJfikec!MSPOjcJZ4EyxOnu)BTL(`aJqB}l
zN;0;=e;sehABV5hE8OaZB?Y98Y=k95=#EUm8Mlg!sNo*3nGfIKv4FqtM;S4GDRe-H
z#48?0_l>|Tdc03b{H%S`$v3czJKy?GI9bibx)x6J`WH;%$*pm{Y4A_3iaruIIDdR1
z1&&;ZvmtTouD7jU7%=`39N@xbhVdNz^6Gw=ex!0t5Z*p(G8PU?9)0*~Kb&^>_EIPu
z^w>;!7yR>Es`EuS%|0`V#HW7^`8vUY$rjusE^Pbrj}EN&<-8M#m+nxc)`q`~bI<LB
zKf4{cwgZ+)8B`~6+WFYK;&9OI@b@H6#TvMQ4mNnj!cXF3$7eThgztKlXOQ?Irr5|7
zdK`aE|1(Yai}AkHhcF+N&pu^%s;sZ!1bjkb^S_gDWhU=SeOP3d&lPi+&u++eJG`@o
zcgmimS7kI3hTo0ewY?0FrW9?P+JyGM^@ZOz;G;8dS*GFUm|^?d@FNXV`!2ZWxKw&L
zOub-Z(gSz&WNwXv*Zg|&YT$itpG=ZrwW$8&IylPsSZfCSpTU9or!YgS5&biGp;qQw
zE?h(39{2**;tVtmhdX49+bZBvCs)l#Sm;Hkc0KuheO$Q<e7%e>{sYW^=H+{5nDu77
zAc?<C`e306JAT^|&;mccxaO<@?@qcy*9fO-tPP96O0fziB+l~r@E;*KP9k@p0Y1~F
zD8&XBo_3;chUfmr(S65r_5E=Gmn6vwX&50gi$W;Lib}FWR%R$<g%BcJk&#eYp{$UW
z@uh(>Dp?H~*~#9k-|PJTd_Laq&$;)WbMO0{`}y3@=d&+FejCi0^*yo%=KU7vwE^a#
z4lN=1?Q^Z+|7h_3-ljR(O1RJe-C8%?DX}}0#O2NlF#dv%G6pk{xKaJ)peneu*v6Q|
z?Jr!5uYj5D8~Q5X2}hUWXYknQ;#?IRbAILFb2yJX-l-0jInXfw0RHH^IkyQ;C{?Gq
z4_Eoyi;?!s|NZmvgBz>rd`LV+DJI$np1#k&k;FHB6ddM&d-p#d?1Ia(`<HgZ3V}3E
zZ7}x+^|h~?QI7&7b_~Nsn*<qK;5tUX2i>sdk?-Xh@EhewhB4TCwy7x%mT7NJ_zl~I
zow>&gi%PasQW@d%P8Oa}K3LxQ{$YC9U;W7v6};1cGGIF_{K9pJ8s6Ccd65&Adlp>u
zi5mMaSLh`Qe~dbO{|j96{>GFfJm>pq`W1XtjZN?<e5cr}ryM>n@Hb5vUg(~e%7Vp%
z%sWoOepl}9&4wvn%V_Dq5?#w)x8UlD@DM{1|8U1P26pwc`F8=Htzu;Sx(WAdOpEz<
z;A)Qso-eSn9<^iy+@;A?^cddSZWa{}J1GCH$$@WewPT5bW0*`YdBH(<`h1gMtxBcq
zSK+@+0~=%D@FJdxb8y1U?^7f`%dvw}AEsyc{rNU5euM4ye)yd_rC>5#F1jZ}1g0=r
zEsTX9cXcw;!R3}#v-e=CQ&ar3@JUT09}=I~=zeXQ3i~%GTXYvLD@}@?gfBl3Jxtm!
zNjtj!8D8|^@F8)tZCAE^f`?hQQj$2=e&(-QFw>$O%Tw4%Dq!#|e8GexIR}mleRM<`
z782}jEP&0o>=%%QBf_XupTmL?(sy^k6jp)ZRWQ{`<&zz7z4mz~5@)^fYWLzs+>a#1
z>5}+GF8<BSaPj%7##*?gcJAtT_>6No<0rUBUf=2`yvc1OtOK4%u`o-3LlbMbM&V=r
znWyg(doA3ZhG(tp=r6!07awoka31$3d2ve?@aCR@;4QG(r1AFi@arvR30vV-en}xi
z_^%WX$3}Snu5}eHSivJ+bQ8>({KN1p9HV-!bQSH(GP=ab!~3TXv{E1*Z)lJuN8-NY
z=NA#T{LWh~33m<aURs7lof%pW!L~b@r>9`k4LMu)!poeWnCIb8vy?qN@MG%8dw=0M
zC%dD&Nc>^n;|Vxuho$BYxPAY9@gev|yZ9wWxb^3R!U*j2QOutn?qhsh*8?B#Xnwv%
ziTN*CVYnamiEID30!xK1IQ@hTdb0;-U?nR#|6lOHaOv_C{C;+7Q#*Wd;3nHB96flD
ztrJ#|NfI80wK)e<$#^*ZzNFd%f8paP_yR`<2A%%}w@|c7e1OgP)(dLkJEjiSB)@Dk
z@0)k<D)sI^WPCTX9n`oFpB1P+N?xB-vm)~lcG|VQ>>HdPMVIRjYc=W5^}>A24RL|6
z1Vy0}8Sl%~#gvw?w_iyi8Sf|?t8pusX^LKOg}grI9lsvD&a|xd55D`>W!pJ8`tP}#
z%@{9=pi9>B@P{$ZDSFt6j!8=a=Hc>lV1s{3X@`o#ENdzeyW!zGldgwgle>>L?uFyR
z_del;cj=k$6@Z0aS0?bmng%tgV(_f6>o6UxRwLIa1(y_WY-NCDccq_@hgB}$-?y*<
z>tnqYcNKW!seQ~#a0P|s_!-z;<B@eQtU;H;sS9rl;Me*M->0X#YYclehi5dv4@cN*
zE#T&J8*Vkhw~mJ%cYx)1M>G=Q+#~(@Ua%1DY1t&0GhTmRAbeDR^OZ2zGR5`8P1w|~
zAUFiR>F}??7q%X67Bqm*uulnw!_TWDkLkl@bDl*3FdlO_OHJZ>J5D9Q8LbVnH1P4l
zdvET;Baf)x^iZHa2z4^#!saSF3i{x%LbI@^a9LvD?-rP4=56*f_|)d;=2n=oSDm{O
zP8JxUdJi{k$ds>vWgI3ZYGE5g(U%`!p_4nd{s&97>(n*CcfPaFSHs^Q|5Rv&{~a_J
zErvA%_Lz6V`iW*cO5s}-Pda<x)q8n%DKOo~nN35ms!oRPefaYEK>rDt{pI|eBRsyl
z;M)p(euj1HW!P!c?h7+;C%3fc8F=X4?-UYu=CO%74O7^i;U)2>&R&bc@NSD1QxeaY
zdQL9{4>C*lPs8!_B}GgBjH_9)DUbbw*%PSWFTlU8E#A(<Zk2z<JK@h_3hV1|1g(y0
zJDk;$98BWuBkWCuu=MAaCJJLbujd`tmk<BEB&fHDc<*!lv(fOGjaP1wxC4EcRU~{Y
zsD_oqdHsg2$iXakbsy0oo^vZM<OuxHGev}o`1rvNURe6`<8!pIMd`H~KKN*{^=D?-
z*F0TqZQZzfZ1TqrPWZXtkAwf<S1ZY}{BT#k%#9(~V&ZIt2)tfre|ZG<(O^0(33Gb=
zP5%aaabMMufvv1|Mg4#u56Uzuz|Xd{Wq*ZhDr~<i!2+j6d^+Hq*0CmC_~pJ|37=rP
z8#{mM!{hfQ9Z3G+7Y{z!!ud~s1vkJ0N9()n;8i;-<u9-x^EP!n5U!vvvBB&EtYIW;
z6buVmS5lLBX|0k%Hf(!QorlD)mph!zh1IJ<9<;)nJ*NbJz$2?`FB{>}iQUp&u!+K;
z1&P1$-Ocq6KJh}sm&Elml|?t0;QgS_D*PlavUHqfFYN1|dYr^vn(TP^;d-ZxVY2@h
z$1G^n;86WhN)oqpieNhh(;R+LL-ubd@NJMKEdF)+2id=KwWG1taOq{gr%f<(r_D_d
zc*F6hAK$}IXCmS};VmLT;iNz8x4)%`h5bt(XTF6!X9gMK;Cww9uR3^(wFPAsyqo#l
zo&R99T|rFQ@ZBw9+N3>`Q?LF0ga7&}T&jdAYOo%LU-ExFUIQn@==rz6-<p0Hy@JiV
zU87rJ<pQSzB)_C_EMNfUh;TYt1}9I`+#Z72(>8FD{HJR-ZY;tn#fyiF;qv9wm}U5=
zVdva)xbDu^H5OCMr+eNq7QrGqV_VtaT)Ff8C2&xM&A)vxlZ@Q@6L?+6mtF{Fi2B-6
z2p{}0M{xx1D$gIwhHFmJGRnce$qVhdaGwtTei8oW*D#p|OXqhcs={Zp%-?6hL1%O$
z4B)wP;qFxUx36WA5&U+e`-cZGGYdDfB|O?J`#TYq5)<XNhV!fgo08z0N~8BK!y3O8
zhhkvs(=$0v@JemympgFF_hKGTm}N=nPXuh={6fqd&Jhl6i-H$^Tzwn}i!&XY2!>CV
zd%p;RAKmu<76Q+nkUba$rwEGAT!-hGWRKs1|IA(K3V`44TzZ)ZpH$*l@Pa))&DAEs
zj;6-F*I;YC=L+etsOg3kSNP3*(b-Ixr&fNz9d28^QlAIQd3Ud0hJS`!Y%hRU#n?xj
zU?yrIt>>_F;&aN2aJfH+*-LmPd2-ASX7>HnQ4PO-7D8<SU+8Tfz!xwS)~NrRw1m6P
z$C@|5%&nTV#_-3y>yAw@oqNcv32c|4IMfC^%x+`Qho^pt%yq!4seXNi@CCz?;bE9n
zn_^W9uD+B!KMH3XNe$}2G2^CJX5dBqa_?z4=&#cCIXL|Yd+S-)*#DyowHfA<w%dPI
z;XV2V{xtAp@L~<gXWt~{whMO9wf><5=M`@cWQVo8@4i=o>py*4-V2XiSpOvl_g;KK
zvk&I&wJKGBEyWd955q!<HH|Xxk%#QGvan0U%=05~>ZzU}ML2v~{qrGsCG%yhGVGvS
zm~|MYxv6wh4{rUnR(SyCd%iR794u>d;SR~aQkD^N5$=)5$rFZEE3d}e!(w?I38L_h
zjdBdGaFgh+B0l)SJROHSoEqd6Bnay<Br)EEO=XHxxna#tTh358?j4g0$-l!e&6EUN
z<SRsQz(<R!xRT+BY-e{aI4UMMDFc>NOpa!QA8?$_&Vt{B)p_oO1$<b!3*Zy&V=+u{
z+VuDRMX*)V2^&^;yPO?QHQcOWd7Taxj}R4m0~@VH+cCf#9y7Tg;VAJ(fz<H5!e`GL
z;h2SGeOkDeN%=_^e9Lr;GbKF7P5H7L-ryl&L<MUneK<G_zl@f1U0pM-u8O;Pd=z$>
zwl-OZ&xL8cnufb7?L6k;UCz{Xv+y_P+vbb#a8I+s8a(?q+G`SCF9|;T4;KAfVmS@d
zXK2)KHplw~ocTVZu(LTu`xe;T;gii6{Ho!DCNtci@%DN@Z0+uC$_m>J_1g`?W2VX-
z9PlyK>g0B~>t@n4H$0I4Gq@A}*<p2A2tFnF?*3<Zr@@wMBJf+qywYY8-*t>)FMLzv
z#Ev4E*&*jJiGO95+g|{0VeY8lg}3Y+@=SmW>8=e3!gLy=(Qz=(&Fo8Ldz#%%*^zLE
zl8`sa&$4K*2!};2_5SUG1@=4~_l6ZVpV`d?FF8G>@`APd+|#zhUW;Cb?O>MT^W`M}
z&Gxu6w(yu*pyD=omw=az87!po_bdziDE6+82|N|Z+(rxE)37Qy1M_G7oM3?CZbrU6
z4Zpqr&x0C1BJTQA39fo;8bkxzl|7tRfOW0?w@|>sSx$ThVcPHe`KaKk`K%*iaKvGa
zCo32)0~5oWJIL$#54CJSJa{!ZWjoBNd)9CX@!N$b2iI0HzX#9-knuH2y}P;s%lq?F
zFTlfjTo-=A8*GM-ka*%nzpLM2gHx;3^RPhP+_%^8$s5<^*5P_d>&cgJ-I+)q5;rPn
z(!B@QcfKzo@nxzr4tL>O;Vn`m9#)#&<Ozq`eXu8S*>95l9&p*eFB5Zcl8oksvvBF!
zMR9Vx4f&H-&%pjMm!6aTtLF3N+YakK7i1#+b#++!C<`p_%%4ck-)qKOUi?`xu4a>c
z(?-r$N~g}I5tw!Sl`%OU_uuaG5iq;ao9P{h|EzbW4=4E#3%wZOvS}{^7npyJ<pCLQ
z@qGbK&ae#q+FpA2vRItoPI!*HE03IyDegA5yWw+O>-?f{sY%RTT6kP5KwcaUy=)pl
z2M?EJyp(}68a92LT{f=v{qJ;_JS@-uv1A@Dxaw@625W3<`#lI(X*D^k!{$=)jl*z|
z^UR1Y?Cr%e&;#eIa?b0+bwi(<`e2(r<tt|J4w|>?EpWeebeJVvspvD*3Lms9qr3!9
za*h9MgacXH7#!iZnOVclaBbXLm<PN;l6gZNtShuT!4qEEST|A+N9<E(41g8Y#3*ZE
z&1@6)8?cdO-{>3IpF1QW0?sl#v9TQXibze5g4?U+|5U(ffwk-j@E$uosxr8t?VG?|
z*mf7y-{<h?DXNTzaE^z`rXpA=jI}TwUUQ)xe+nCV9~XQAO9YxyKZbv$pOMUm*MGd|
z$cHa5WeQfpyErK)v*2|4LdpN&FrUKCY?v|fTVWls^UUM}*wwZ7^#^!v=Ywx)aQ9_;
zsTR2Pzpkky*j%1ju@#ni7V<qAt}Bx-{|Qgi*G%7mtz8uAe!))+x4lb*6UOe9Pry6+
zm44oWdwuWKO~E!tM&HH2c>%SG%W#?(TUQuNzw$<76=n;yDvW|@ZgVQpU%>m}^C7jt
zFw?IcXBpvR60LVh{y>bY5;uIOb-XA5j(+BFmKT1Q8J~0m7Sl_r7lyMJ9zVSX_gO@@
zio#wCGlAFP)cqs%$KWAfisY;C7~{{@<8V$v)(tOsqa3Z~N%+-3Uh)-Kk7oJ&X}BwQ
z`jR_||2?N^49hZ41zm;*qg9Me;jJ5G^hy5B*mO-N_`&`Cj&|@8b+qvnxLNhHz5~4F
zQ+b;gJQ7#!XbHO<$m+cYH>yz`w}rXYDcd9AjkSNynZfk_!@bdP(dVe+7vLvfcbFu?
z<{O+14B@D$<%>yh**OM<^RUEQ;l4EZyX+qW9r)iz+VKqd>$flkJ-B4oQM)|&qVomA
zGqBCpo$dv25mT~|7HlQuZC3@0cGxMNgrin;-K$~uPAcKkaBF+;cs;D6-K?kt_k@@%
ze}qNu+X<_{N4lfkzrsNR6GoD-9<xML2W%u4taKRGX|bX1fj?;|o<9Je*Oy@KgZT<t
zmBeAIJGN1y@Yt28^MbI#Kk=k7xMDY#vM_A;%9?o&ZaEU@x*Ps$Ga<ADyA{wIbHF*F
zd|4YTkiX@XD=TbT*I%>|uB%lxW`hN6cMH?Ox@{w_3~<)%4k-rs%}-ZjCO9CE{wW)*
zdZ#3U0^a|{uWmPNYI)d=63)>pQ``${Z}}XtykuP6u4Sje50~%Naa)BgwbSbM!~MR4
z5wq|~X|1nfaB8ou+dMq_EKEZNo*kQu7>7fHrHqciGb!$Fld!bE(^n<f!)QHXn8amv
zcB{ZIb$r}LVeO~dMjEjBn|~2~@EP4jYfZRolaE_Jyzk_pZUgv{z;eV-_)BZss1a;f
z=H~Vbexu4{V+kJ%{~OT`vsOO6Vh!_J*tm7VyYv5yUWPe_zD0b7ndrjjonX-|T5c_{
znAf{2p0KRqe-R(y_cdm|-mqhVgj*xL@FaOY5DvY2KjIz9|8<Zu82+xo<W>uNt2p^a
z!H4JXe$Ivulw?1NhYQsthO^+VbX#!}e<2nBFBSIuJaY6FythqqM+&TDms@ia7WTe-
zAP#oT+t(Bd(?7c95e-lBnwpXQrP#O}brY_A)M|eP-qf?T)gL~7lWOH0{C&ayk0;!s
z=0Q#RXRp-MZg)8P_TaXY@ZVsELziJgUv19Q@a4G?3p+Sj_CG;cSj5lH`vRP+#V2_b
zuH>H2HG!`O-8wD|yZ3lk>%lGW{+<?vC!cSh)Pj{A_0F-w4+|e`J_V0=7Fck?7EP{u
z)ZoVt%!gRv{XT1lkHd_6o=ubUF=D9w>@j$Aw6zyGU%l0>Y^7i!-e*Bfu)`*$>k_cJ
zjMWwz_{N^k2_o=`z5-TSm_p!Lfe`#U%{ZA{A5D^Gv)ka^-?=L`!*S7P>6l>t%MFVE
za6R2%4_~NW#QNS{vzP^OuOg4`H^f^CML6K#l>L|E;B3*Kj)L%?acaE;_~)17!{V?J
zkISWK_?Z2XnM3eD&6J=>xZzuy7wI1_G5kb6d_Oooi^N+GUR$z<7k`NelQ^@Ri<1&8
z9O-jG5<c5d6`}yE4$u#Zz+6m?{T~+ae!|_vkkhbjtL9oAoZq;cj$A)c54~Q5!N1Qb
zUeJN%6nB3Pffbr72Ts9s4d;ih!x2x#Ce`6BIc3cO@S(lW9Q5F0D;BKwux;RM_<8tb
z_O|^O;b&TojHJD_D6aJ5uwL>3WfOS#R`080aI`~4y)N8Hk(53@kM&s4!~r|_%3yKW
zBz&<w_%S&jHRyTp$9UKt1yzd|TvU3Xu?7AboqC2`KTqEIAJ2nZ7Y43J!n3)4`wHOl
z$2XSZU?b_68`1FFIWL}6_~(y6``hqx@6OaLc%PGNp(o6!KKkkjY@lzP;0-?ujgl;d
z^^PC>ZUNuOkkfeuGuUsdv4W$;dK+utjwg+q&cNSSoJZ^6dA6)E4OrzHo6TpK_N47@
zd06kjE3Z~q+FNFW0<7U`G4m6qFlX5*1K$bWzxE4W>-fDc3!gpF?l}Z+k&hM?hBala
zBmcnjK87r!aQp=Z>RGt8ct(K(zQucM*CPDz*((7q*zBonJcT9dHAkR48%*Opd!G_k
zxOjqpC!7+LwsR|dmX+^E=Nztw-+yh`;qq<GHQ(W}=Cq!@uv1;@sXX{K%i=C^SitX+
zcmW(q_cUGxcHueWo&bL{5G<C5&+q(x{x1A3txrS^_Kc(r3x#b?HOQ;Ow^ZYt!r_;T
zA+L1dlJK$=Z#c-wqR{{zq>;Vh10N6OQo8^bExb)~gRf<WXj#IXRVVyC;29Z}1_zks
zux7puyy*<>FDKZ)y5Y`6ctGWYp(p(K)al3OaG8{Vr8j(>{rznVSTk?%XCPdAPCnZR
z7711y41yo(9C9;-*H@~4#KY2+8R7bHc=oP=MA&_Z{fYtnCik29L)eHaG(;2DJ}PFP
z4qq<z)YXN}8jH+IV3oCR_UiCm@r`!RVD+Ythe`g$-XPQW@TQY|8fviOjyBsmc=5>g
z-6X$bNZ+Ir4(zuPSBAAGvTVM?2FvHxRN=C2e&au|OHaR$G<+zg+;IZl!)nAN3tP(g
z4KKjq`r7upU>gx%dI~E%4|L*{COfQ1uNX!Hi|jdfXCr)cyfc#l-lJLOwFze9PUG4E
z9~z*4G&gHpEh#c1&JJ62UW{CT9p9Gc?S-``qthqgaj~9f{IH_%VCWS5SLLzT0r>bV
z^@9;u<=#gbarm#hY49JIMkKye2A-YtO8yNCUM#6N0vo<;3K)Q&d-zH#!#0Dz6T9H_
zdv_I1zypnuR=se5vgqM+u!_(<?{Dx2nG?qi;l_iCsw6*!^1GxxY+rH0qzyjyVe;4|
zcyjQsAjxMey(!@fS3De%{{nAPPnNq5Z+SC3)eff~Udq1<^YM3X{sjAl(>=cjbLdN_
zlla<IiS%+f>KEIKX4u+E^+_eH9K6q=73LjE-`xS{zgY5bgkA5I?)?T!=<C^%{P$mc
zAN0a%M|gc};mS*qIlp0DE+5N!cz|1<cMN7IQ}(Kc!!s_3jKg=klg-``w+d&^!^4mE
zM3lh1kECBN!;^Pht~`U|j%}3KXpQq<U^pcUcKf#B#AbL;hvbcH*r>DlKSsFc@5tQ;
za6jFL`fc!w-;&qU;0Ixe%DZ9u{QkHk_%;4rf&*3@-hV9_*1d0B#|QIScHX`NZ%Wtv
zybmty-*Yt{c4OmG7lS#N-bY5kr5hOa4#M-Dw63?{<(aN#S$L%ENoWXMTieia6lQoo
z?idCSOQq<jzyZ49K>@J*<V|B$cr>@c{sw&Hr+)icxMTQ&|23HD`mt^;k{_II;|u>C
zq(5&252gMWa~Td<Xt`txCoeBwb%L8~vj%NozFyi4GgvIcc+npIOraQd0sh@_z|9r*
zD^n`ff*1Tcg0I4Kcirykz^uFT|6PY49vd$_4g2c)&;-J2Hk=7(V6V$sLE-Sx$~#X~
zVD)H@s7QED7$2R(e0!&<<KdH%;@R@Bu}C>%A}nGX?y3ZH^xJOAfp4Zxh8}^HEB7-z
zh96(xaFT-$^lS_-hILL}50Zq-(&}PM;pu&?nlf;*n|tUxIQZy(8*!L+)8Uv}_|uV~
zgCyT-vF~OFEaUrCRTM5gpK<FO{4aY=^Z@*4xA&Gl_`$uCO8ej#YboY_Scld{P!N8a
zP8U4}mnO>DF~ObtMRTTMBNdag%<$jWn|N2?gypYZl(1Njsl-3{mi@RH6`cQ7rf{<j
z>givD@Yxw`@6C<>w!(#+j?VM&XAbittZ+(RO7J)ww!E&y1}E?oIZVP@Uw%|_!5J4i
z{fFUWiC(qbuyMwk`WU?Q`B23{cz~YEq91-}+w@KX&U04YPx7a0LSL)E4>ubt^}wov
z+;3IkT-n;{5jaWAS;z(McK+Db3k&Y0IphXce_Bo-fO#dW1%lzWyF)!qaDlg%VgyV-
zvQYa8Zc8~=aR&~qFmj54v!j$LGGYH>O}#rX|1CkEJoufVxP1ito;D$<0OpS4(~N?}
z!mq8D!3ux=Sp~z*W520i!g*TFz0vTFBvZ#e_~(hl`I~S;Se-{de0wbPO*niiH|EkD
z>_@NG5eOf)Uvyi5oxjRtlKkq&HTE>N_&kk!;)Nf~epJAf7Ixh~bl)Fl;idb_3>OP0
zm3YEt$xd^uuw`<{bsso?PUa6ky#MWiI5*fr{@#oLe3_r$+XH@8a@|QBZeFj8c7*l&
zeq22St7ccYIm3^?)=V9Nk1`3?YQnr+%q+_AT>NsZF1$+JPooE${|V1lhc^w1Z950A
z8MsDiz`{JcqRiki`mG<O;GYgdS=R9Wve6=G;<=VRj_{VwOYg*B)%#3>&hU?GLNO9>
zmBKJ*0C|0VdX@-m{BrNU8*t9u_f<mhB?;*~Z}?XCi=ka`lUiE2AFN0n-NX*xdwA<`
z2%NmzWqvEn?K`3x0SB#TFww$(+Di?AaNe)&{FJax%bwOCn1fm4I0f9HeZa^EzIt8K
zZgSeVI@8P1-XDGy;(lWs{`=B<{3<N8$huYqJGp=1BCk&yy|kkeX8+ugc@4Jm%6jbw
zn-5w4Cfnz{u&d1n=8UqkBgZ2?>NDa7UzSz65)A9|%x`psy~2*qk?sE{J(zt6jy-W-
zA_@+(zFs2^Oa8j^l59`s+RgQy@H6(}PvP)-Mc?n;@N4<1(|6z(`Vx!GaCq+}op{)D
z|JWNgc;;Ei$w%;^Ki+?+;ibfH29Mz<%U?dzz)9l6EyeKI$OoR0DeRA@#ndY}r$*Xf
z0KRZbZY38!rsZ|13(lneM41PhUy%y=0bijm56ytTzV=N13YXnEc{>Zf^g*BdBP^Ns
zO@Q<d&tQ(^8@MmqOw1Rax~Aq(1%C<LFMA2z^X<X)=dg2bz5+R4a-uej7Q$Pz74_6%
zQ)!#^Z1@uYD`O3~vG>HTNASeu)E*T$cz{7E0p1(yH*pdcDfsOf3lHM1R2r^~JQEcT
zKbg*<Am_V$(cZ2gxHU-SHaGl9FJa0Deh`?Q$P2f{g?PEb@$Y92EaG}S^(r*o683$N
zacmX-&JYk{4I9#Ycu9r)Wyj@Y6S%~Py_y>Cy}#-CdANysR%IRezi3x~orVv5iqNG*
zoQsiZ`6Rq_%%XD%@lBjj42m#y*`w|ic+ZtbLdW6A=4;k7F#nOg^3rg-(d+-$lTn}G
z+Xvyd7Lv<95D(;8y(SAg#4b#KgJ1oSFP4J)=kBl8!^K5I<DBrwuoCkp_<n1?F&jKr
z;?Ga&-P;+JD-5vpraaLi*h$o5kqV}r%6&)bt2!qq{n{kz<+Fwc{AZ%VO~WV3OYqiW
z^EMB7D#E~U3eJ7#`_mInHO_LIfIl*yuyBUIWzLu_z%2Aa=N;kS36TjiuvWlpD-&4V
zQ2EIpSpHe7gBfh$J<>A-CuUi?Yrq<Q*>l}62bHIfCj2Agh1z#`dQ<I|!*HUbpGgaR
zIQJ`)416`V+w(K*G?bVi2HUq^POpZwb+R(a{PVr3qoN9q)wK~6fjLe-{PLW<p2J3L
zKm0kG@$WO(yq@nFA8hfib3*|f@@P-_K3LoEEN32^vf6c=%zyhm`czZkb6xK>c;UQu
z8<G3)PlGKVgkif9A%z5(cK_lhQ8?=Tfi3so*+T!?WAO8)5zbhcQTKAwad_i^z3gq+
zsarrt8diDKYv~WKXv~-&g#}|AuKU5Esrmhf;8Q0B;ymDgwvm4%VXL4MA6?*%zss|G
zVW+~n84EbKBbQPT9uK;}cmb9WFbmxSN4fCw8N%9P2X67eC2S!y=i!ig?=58i_dQqQ
z)PYN$t1^-OH%jc2(SqMeF2|GhV{e*TD!|dwAsGU&x-9i|d3e@ST7b0g-F&oSAN;bw
z?kGQ;91)f#2wxL;{hai7-SV+AZn%iUsgjHr{kz%ET=3D?>`J7)k;%LPHkjt!$CE;^
z-7r5V3%qZHS7#@jwU(;75$@D>G3S6~imfa+z%`S*`&nSafVi}g2|T~>-^9W$xFO26
zVh9$IN%Y+Y>$3BF>4ukY2?de-W{;(@F1Wv>c{5oL)lYOEuYy&zCV5CaMzG$v0*<hW
z&8CI-R%pMChf~sj){^y->7P?OZo_FWiuB0(tK~SAXei8T$7Z|+tCZ86ya^vQdfGh;
zS2n&g@q;b6m<Q+KwuTA?f4E`0w*^_RUApb2?+I5{cU;_n_8YhRyLiAKdYs1=5idPE
zo@@gfnC@9xg$*lzT)zmLF@(EsLVlS*beuW7wfM(1vfexT4V51D{dHoV5iXwNi!y>o
zZ4*{We?0vlmumpeXbA^yfg_(Keo=!R!^)%S;d$d1e^0<?rOq;w_Ad(CP|Cxm{kM0L
z_FdK#29Lw5d)DJf`-99cuF}BX^XC6?!lFTkil|^GldJV~@TFf@J7>qSzJFEP$^>r;
z*}QEEZfJVfMUJ21>)hFIu!+vv1liuOmHMR)_*cLUcha9)GLnz~gX<5)hipV#mN)Tz
zB}^m7ww3gM=GPL@L|A&^mmqolZyv!@@o*%qNdf6E+U)nHQSk4rDy8f2KShOW5%8Cf
z|4EbaXb9@Qbpu}L$v8&(+tJZHF95!w&iQ5n{(YIE+6(r)x>7d<i)G#Xc@=&X<$h)a
z*0B(ra)KT4!%=@=rNI(<NBG#S_w8hTzth5i*9PwD!|#c}Jk4Il7I2ex$iP=P^Tx+u
zZCFiv&lI^|Fq*VZ*MvFQ;ygaVMb83Mncy6A&CG82?G9Nh2Kd6&asiUBsQ;vF{4d_$
zFO!ldamgRQlP2M-$D3Xa!FC6|3Wj0Pr<VVb{WVxBiW!9yo-ZFE_Y<ZD_6u)dH?_iZ
zq`&4)#eRPW_c@$yp+bLBDTL@Jz{|#4X8u2Z9mz6xVUOS^PUL!<?GCgEg{`8mdXw>&
z6Dy;QhQ%gL#z_6{ne&(MgEyFQEgXTVmr|Dk;4VJvadnt2T!+^M782OCqzSV=G1=q>
zQ_5Dl8^T}N^p%X^&1S{HWd2ZcJjZVen^qW5TqOD1DIe~KPw{=*;|8Dly}d#N*4N*k
z<p4iW{<X*gpA#r6y#mkn{r6)#98zc{<_$+BtxV9vR_)=EKCp#9Cp{g^ck%m6SNPG)
zc^)dbHFKrX9p)3fAx{Yx^_*6^3>P>Y@fjV%da@x-o8*fuIVKImP5s?%_OR{3V09<F
zn!eoa2p1de{nZYyU01QTfy-4>sq5fJ<{C~U|BG+$-uLA76baK8V4r3#nM&9t_|AeQ
z%&lXuUk-o#(&=*^&b7?7FNL)nz66l@cAx0|ngZCH<srQ??7|^3dLPznxV}RT9@Y%q
zoC^CESEtCsx_dvd$HVn$kJA+3V_D*|cVJP8Q9d%?-aULxBLco8-7G}LZ-T1VAq-}^
zN?%Cs{|tIO;=Ev;M|Cfx;1f3no?eB|<Wk9z`fu7G{@w{T`1)Oe)c^d~kNPgdDL2^O
zlleBpFLaMStRj2;E17>1YiW+@!u0Q-8<6?g<Dag!I{b;n$Asj6OZe_|3jU*B(nHR-
zmS}+>ML566Wq`~_!7im~$6@yP9Qz$`>Q2oMVsP+{oo?)K)2H8q`(Y1}GYib{!u3Nd
z{4nS9wG~p|?SmS3^1-fK#REwFV!n4tkrgggyBSW-|Ai|I=FD)SMHxK}9MECrMhlCx
z7%`LiB4w32mIl85Ei{qTbLw4-O_P7{d<>sq7O9`_?&kj)hb8NR1WEnl@mFW<hF6?2
z50d((HCm_n1MX~@lO@;ZcGav8d9X|Rh#sk5H`K2UJ%$zD(tVqQz1C}2(&1zEK3xm&
zvR1~fG&nKwz6GgYEY8Q2V&I%QM~4~sx8y`h1iW3oVV=Ank&>_S^alJUS$O3KOykZy
zb{&5G&w676Y#`Xm>I@GvvC@%xbpK7mAxGG~<-q^n@8Gccl79@=IMe>P1@V$U-5-y_
z%94Nfe}se2wQc5uqZmVue1>yOZx;x`$7IhIl6oY@sz167*5hb;P4@S(ga-{1Jmc6U
zPwLlY))yQ!@co8$C6fOo;O7x)c<}>$T@T#Y$C37H6!!<iZa+q0i}r!Q9{7o~y#YC1
ztstEzpW&?=yv#}eq@>2wH^a710)CIft)J?C*24MJfkTt<cJYv^dicAFx78B-nOB+d
zF&rXs&W((x=g&L)b6{zM^9y9Y2(7TY;}2_<e4-`exA~p;Cm(nyuZfwA-^J;tTdm=5
zLn>S(UqXUc*b@F4rI106S9EFM))Dw{>*g}Dz4bJQ0vXsoY+Z)TH}7Lh+XUgakyZ+1
zyr<|CXZOLkHyOSo?+^Xh%M&;;g6p^SS=TbW^Mh;EAK2*E?ScRIZ_S;S-*8Ga=Lngf
zBHk)a^}-e5TO5DGrLi>EpTN$Ut~bf{GHF^;bK$o=23yGMr@BU;rop$f-_nuS2dBUK
z^Z;g!&50rNn?t_I6?6FUR;N62ygN%>v@KvY<5&SQKhsi%MxTNgR80<&{>#7Zo394v
zC>|~&{qf&ySgSNV{5Yqa%s(MUQDw3u?)OQW%;(MbBD#d&2ib?@$$F*Yd03SQtlee&
znyhC`aspfS!fm=?m1O;PWaITxe)tr1i7Z(!hWH)Wu|ACTPqyJHQa_m9DIZ>i!>$N7
zk@|6n`OxWESg}R^GpQd&kIvXn!zWKM>XG_U^i0lg6gI8qG9dGvW4uY~F#M_i?{`uU
zR;<rH?SYkC7Q0A2(TH{X^b6)yuC*Zbpla^q);d^{tHFWf7fJ3KtA{H#Pz;gv?NZ+u
z%PUxJWpa${Z_c+Dv#;R<MFD$$m^Z*wJQMz@Gv`9?XD)Ev*Gz{G8C1-X`;jVEbI({f
zcK^*4a(rPSIf=Jn!^Knn<o?C#Lim$VSlCnG26_MP-o;~);jmYn)jGLfD5;n&@rJYY
zSgA<8w)M%3^MPM})ea!_JZ;`9#|>s+;}0VDE6p?fVIFWZlhwcDuo=Bchdx|$CzAFg
zynP!tn-1)|w3(UYzvnwkc^-DoKfy@at5GZBF@ziVsp3ez=PeJG(t?{K-zOY^<3=`3
ztH38j4&;;bXUiG(UuR$oG1tfB`cRg(ms5k^L}W^m>;Lj`S3ynKOkwcgFE~54S4{)n
z;hbL924B}0kRbafOVe9I)?533>FDah@g=E;Nqtj#taDKv#(#RqHo+$<1qYPL>lu_!
z=D|t7B$tlDH^!Gw7r-qBB|DG6R3#<NS@6T63@Rl!?&V5D2CUMbqAU+zXt?w>78Xk`
zF*po&&vUoO!KG8L5)Z*gZ$)?AfT<?io(RK+!*V^ru%g4Ck$vzPs_Y>*c=0LSIv30w
ztvTue*K3F$V}~>MmrYs2ZcCem_QJ1S=_f2<^BvWpoG^nM|Fu(auzjQ(KOAN6>!}7e
z^KiwH`~W_&6?xeH+_@am9<y4<ngXm!UBk}`pR-A(+XMglP+HeIg!d<S5AcY=cXm1t
zwZPrk?OEjW2>HqDXY%0dbfU%L@X#ZT%a7sJj8Bq+u;;G9+*mkWYNOl%I83mn{x+<i
zpZOm@?2{1n>@IA~q*S>V&hN8nO@PBGe=D%V;j8zDqv01Xl$AMQ;U_d<!SK^;)3#}R
z9<wQ3E7cdi*<RK$3k%#kT5%2D=c!{%KHnMAzWLb|{#5bElzhI^u%@MT30`w$y4(mq
zrpvLmf)#d~I5oo;M$>~W;ELASsrRsG`BIV*+#7pzwvNR6mtGpcXO>$$|AV<s<n^k-
zRQGj!-@<7W|M956l=vC<5?F5s$6-16_w8plpTPm2>DlCAg%WN`@_CkCM!Ea}Sk*0r
zx(0qY|Jh6w4h-5E@e-E%Ptc7IKIWwo^%|ZwQ;y?>{SUV>lJ+x3Qge30B8scqNc$D7
z6?Hpdr-I0YJeckBo?T0Ws3+{J_e<dgo2kWRc<$7d-4(DKO)SqJcuMvT7yfifVJ}Cm
z;s~rJ&yn#0KGVc@t``nDy)Ww(Y#^$AwHuyYEfgq*D;{P>bin)eJQE`A?>YVZNgG`3
zf3)BUoOx4dwG95P&R0hEx02DD;~D%mJ4c4Z#nX14$btn$ZpanFHmg@`GT>y5jn$9f
zcUd*w$?%S>k(wNM&&%tt6XD(8hwBqz9!i1i2XKWJRb4!sl^0x_3OgMPJ{<*Lc_L6k
z+Lw(?JsAPtjSXrc?Mn}FGzP*FCwQu!z~X#|KKjGQbvxFx;oyrBU!34s$;+dK@L?y_
zPnY3d<67DRI8wh(#~SvS)}JTG<8r)1%Mwm>v^FS$1NhJXI0-+`8&Y}!zy8nen=0&6
zdq1cY7PWHdk%Gq#?Q|}O57k}$B>`{HX)Yr9X%Sunyl~st@s$5yx0g45bHicvx~s3?
zdt+2io8h7*d8<3{G3!*%ZLs)`r$I6B)(<;Y$mh@7YLt`0;E2h&Ra)3X==IAGIA-IO
z0804ovERK{;S3+HU~1Ua(~{ByHanNNc^#i`H-|=w*uaNp4{as+yW?2SSi!Fob8jsn
zKIY#Xt_~l1F&+00uIf2zuK}~x`!kX4Q(mq2I{|N{kz*#?H)fSIRfGBBKip!5w+twR
zNW;_Z(s$V4FkQwIN8zJt`jG-~^&+*C2yDyt;+6>fx!zu5KODcTx>XW(aq70<ha=xk
z(;bFKeH0W0;2GYaaCtbR{i*&Qc%fM&QUUhoVUps3;~rORJ_VmT=yPfpoF!wqMI9d6
zBtydqb9o0-n!taRlR37-55EXdnZY?t3oC4}uk@<`TezrNkBJdpb2YkQ2UmtZonV4@
z=>1v00>2TXq1pl`yM|G?!S`1y-_XHy)%i<7@QW6@4k~y#M{VUM?4I!^fd&rRetDLh
z-?7;=PblDyTB`XZ_-%n@I3=v8eAhJ{erKC`e|Z4wnGR9+O!#A|zR5aVXsqK%>OmO|
z$4P4Bhb_OpM6N$C6CVN6zOB@mVNy@x0*a54_E&xTM@T)my^WEbw9h4R)t1yhuhHXT
zr2U7cTkS~wqgG$~y9UeXi&=ESrP@4{^Dz6VH<sUF1s=cN1vnu>ue%S<|M_rk0yeVf
z@9BrlN0wTrU@k6C)4#CyCW*CPxHCHH!W2AC-NV@f%TO);9)^oTEpEJoDZ4EHOv8nJ
z85XbMlEIaWD=<^y&*Ee_S~uH~d>$W?v@JFj&W=<X-3p&>;CK}U3wv+)%LpIJd9xe_
zTT#8AS;y<Ua~l}~;q_dOISRxLG6S^yV7l_3D-(#DdfxYPglR7LuFt?Lf`Rug!OvH|
z1^$5>c3rvY2Agb)4j6&2T%z1^89qHqd5iQ{flu!&i9bpxiz59wI9<El6?Pb8W+L_f
zz5O2{2e?Yl9DhxW^ReX3C0kf^m~AJihtm7+8aTlTs*P;<a7U*6sx^GxIzETgue&e)
z4Uz3Vl0ThI>et)kULkup|MtIpQomAv-rMd1Z<Q#`BlU~!Z}?$nn4gD1jMT3KhuThG
zgs<H-5+~<#R(?&C75v<WPFf#MFmm=H$2(vCMoJgH)~L>D2{VpeuN8z>m<MUd{vWN9
zdcO~TAkcN1?EiyPgALo^0*!T^tMGrm>K{mbk~ueSMUFpXcI^{+Ugn3ChvqdnRX@L(
z)Efq)%U8VMogJHW=3!Zik>D$E$L({vi!iOzz$4NhgZ~w_ljm_HJFQ-m?JeC}?wEp8
zVr+hp{z-P!HXecND+eY_U<%zN6Y@OIo9ZzpWB5qV-|jwm;i(h9F1+$XthXQbS-+;L
z4L9!yw*Cp9Ob>8Ygi~dfZF^u&eDm-)+$MKsv;(ek-StQs{%sNP=NruYQ=(Q1u3`P+
z^acK`{p$OESVD{9%2)Worf(}E@bhBLnUAoa`~@aHIAY_q*+#fZ?&d*W_$5od=R5fC
zz;0(+_>hvQ56M5S`$vNgPU!DhXo0o+N3O2+WBp~nZMhw`9}kqIAn{FpGehv#poNo*
zh)XlZ&XWGH&3PlR48P@7bD4&9rw_?Z!+RJFU1#A`oz>m5@T>a_6RR+_?nSXN_`_w6
zNisfb69*W^VYjPaFO&JF`%ygaAbd#hm*W;V(Et2~VR$@0VU&z_`{?WKJ+P7D{XZ=5
z+4VH%5!hwhL1R*%88?mx^}+{uWKBqY9;~UZAluth;&YPJ%ca+*ORcc%N~F3sOriAo
z=oh%Xf<uSY+gWxRtq(Ax!A@NVm^w<$r4HVC(7fFO_7n=d`5zqDtKVS-EA_w6u7qtJ
zQqCL0iG4>t6~M-`*G$Y|X<f;cR5<qShb1yU6^}(SCcwg%^OjlRNv3CRx8WPSw!tgt
zkAFU_VWF_rcEy`(aB=;}#~|1~?^Wa&taV+p+Xs$qz7;hN-y1x{>jj?~+Zfjc3+cAH
z8IpW{p~M0BZ2h@}b8w)K`7RP?Q>uD=7XJ60b9Xn12Y(tn4R5{{%H0figfa<Bz`A=L
z@wUROSA1!t;PcXM56Sua%&LcDKU|%`o%Rbp5O#Xy0Q{fS1P3`k0uMfB6oBss-Qy(Z
z$Duph#s%TnSi59$JxNVDQ1ZZoHH;}UFm0jYMRs^4>j58mUT*1ErVk7JWzTVbvc2u?
zYWKIn?NpAr<b3b^m{+_77D}Xf+y)<_)Bm~|J}4|D+63Fi{H<anufLuw(g2UpC-l(6
zjnQ?5Z{P|hin&d&w5~-FxgNBwjAbZc3G0_-rLd3A$X;6bnFDuOF&wfh@dOQ=Dsx8W
zF&tIJb&v^;;VG8RfrY}Zy3@f&PHvGW&l_%=nhm3Z&EqoUli=tLIZsIYN4cA7Zo|*E
z@h6h@H<e4)M8g-%+Fp?MYu}iw+=PYN&NouP^hygVq44YXb&PAjQU6p<t6zmV6_2iv
z_7BHCJM9jKow2y^5Al6j;;rZ5Pd1D03-H@VZ(B{^wT9=3bMWO8e+=~CU2g~f8-T-H
zHyRnjtg}})_Q89<X_%|Q+Krv#BQQtId$SWThcv}i5>J>kyhNTa-F#5TViYbr`q_a8
zK9c{Uwjb`=c5HSt+;VoUcnnt9S~{}{zS8*NE6I1W?6|sy=Uvb8)BZONpO-&<bp@t0
zNvE8E%{=3LN8zjeoqy-ye0D0|VfeYByzUgd<nOZS6D$y6FTVueY3ZSAf}548Zjj@<
z=PtCh0^ay&pCjq7N4FDcU&Dt@Yo3yPVeM|F$FRcq_mmCjzsHiNnR4L$b~%-#|4P3*
z#XW$Fipq1z`SdZZ{SJBl*qWV(fsEg-H!2)K@W;umGGzaqK3(Drg+p=<v(3U+wN549
zhT~6tx!wrpNR6c4gWpKJO#2AiN^j<lg_kZwe0&X8vCVTQ!18b3TUWyd5@~k};ga-p
z@0W0pCTr4DIQCQ@OBF14zLMc1%>AWU@Hrg8C(hUiJDS!}ll<S(EK%fnWrvhl_NQ=u
z|Ba}2m~Y~BM=3m-a4Lj6pZw9pcPtNHrF{`H0(%xd$}NJMe)t6}!=>tGl{ql?u91LM
z`11S<DH8A2@NnnCc-|<xaGJz<_w=}P!*Xu*Zwg_SqxN=6@R+VeM>edK_SH@Wrc^t*
zlm$<-O#L|uyEpmpCcw%xFUO9<^0Ajx;^31fzB)_8TcxRuB4OuNu`9B0s>;f>a5%I2
z)C_r^`HKFbEN^&<W^P6j&XW+Y^@Jm<=sZPX3bl(97vW3$vpq?E_nhN4Ti7MPd|3ci
zw4~i<1`l{`SP_Cx$4f*R!cA}Ff|=llEuCpvu-|u|U}pF`AJxDa`04eB5gXtEcLRoF
z@Jl*|NOFFE|8!OSDE!lvlYyMy1H2!NMBsFRYYZe``|Pxj5PaSsG?qN?UGY6Nh6nDf
zEsQ1o9UdsWzz(zT{j$3kuK(|z*=!%yYdL4w$@Al^dky5~;rQLENi*<~71e9M;KNmx
zNlWl+(fHJ#@X$S5_9^($RoUWJ_<-z1c9Q>KD)MU!eCD0~19E*W{W~=L5q7y|^I#0N
zd>29c0bYA%%hL~En)5$d3>R-Z&O`DAw)Hy{!Or5xvdI2z-_V+S7oM&d&m`y5Wi6YK
zdoZQu4EH1)dy|6Ff%wwI9&-NhIbQF+1ZU1Hrc$9lib{ky_27~l%Bi%lY2AZmeRz+y
z<}MbPOK>0KSvdLG)?M4-h~#Gn&%kLE|5E7S9o5HFRbUFA=P3;EU!N~_N^s`YTrO((
zl&y*15qNa7F&7OSbZPFP3@lQrp8gN}lf9Y#gCM+-A~S6x;s#xXfA+x_JYx5fdL(%J
zD8(LlPW<p*GM?gveY~9Ty#C&7^8Ee)pNsT%*iZ27qj~sPH0OC1c;8x~;5huVzQAcK
zoH=+(kn~5uHS^dl@QQ<E9_cUVSAnmWdNIG+nLHum8@p70cLg3RbQ2)$d)~2b`wibx
zVBJT~kD4KY#a=k^)N(Ev-v^w<bl>5FGQPQFd_^j}#X8}o$qOQ+y|IaC!+JP&@tp7k
zOs`xe^%2gYb<bIVKL?gSO@=c>Rx-))_Zg*qO@cXJb?zg_&*GT08V0k4-r^_ym9#x%
zPbf^?ZJ$eyce0?NP!nGDw8$jm8Lsm_QX9T*6U9vrcfPs*OcCy$TH@LUUzQAWIsp&y
z=<MQ!naf9S9D`*Gf_L)4=NP-qkHc4JixbH8I}|vTDgYl)m54h8*S+0b%?~rkQn3lc
z3rbe4oN!{<zU?Hx#QRk79+)Qg+#OO6f@|+mQovHQ6}RMIxpN~YS9?%jWAx%h;DK|o
zl2nL~Z&pqq*Z;i}3=h^354e!SNv{9(YVjX~uyS|ZZZ;D4w_ERr6Fg(?ljAdX6clKK
zZB$}X$np8E+MWIiN93I2+5$6}Qy=~TOXnKxA@kui!4pQ`;O?8;8SCgj4UIg<FYwYs
zj&$;Uk4E!}m``xY{=U7WK6rfRX?_87KQHGd`3)+rQ)O_l(DlqYxY?z1Qz2~WV3$G0
zv+(mT=UliY{)zA}xGH8}K@1#o=#&7to@w?(eZB?z*it|F0iUy4>JNe2H+JQA!MBcB
z)7*rIhmu6v;0l$m9DeZSR0rV>m}}5_={oFpzbL00wi!r0d=cKO$Cxz$pZLE0ybYY6
zS+|e07tfl1!Vx~Zyg`s`@8ba5Q<8slr^r+C{hJcS$am(j67zWBTi9N1>#!-j>qXYV
zauTnaV>%1BwsDC42j36BE_nuSJn^OYIqbtORKx*$j(&ao20qbR-?AGvj=dpD=KIo(
zzh!2+vA#TVk^ddcx;N2e3SL=b$|dbLZlQ1)fwRSuvMb?XmzVKF@XkyHp)&X<7vJM<
zc+=P$ffsPWr{2acxSi4A37Mb!W?#=W!Jds5a!O!!srfIT;B?n=KGMF5?#;bV;c6XU
zE^>Tq2MyH<;o_ZK>16-pIm?Z+VMEKHhh)9N+Iq4s4KBH9C6EbQY5yq6g@;Eegwo+k
ziL!Q*??j!Rmjtt4q`P(z-gZX*K`#7AmFj^FoY~gSod%D6awsu{eZzL_$$+UAFSZ-Q
z$!`kN$$I3w+UHSS_+!-Q!xY%-WebB2?BN-}8wd9`%k4c4uNc1g|N7)#sEXQ2SbA1H
zlYD=1gUwT81(^M>U-~UL*|ySO9v+d|#uoyYGi<2b2b-8hagqGKi@SUIVCGnkbh3Ub
z|7FNU53defNePEtZeLg03K#!d;|zp7+Ftn2{KEAdEV7fVua=`jjpyK3JJS=$`idp~
zWbgnSC{Pef_P2i2KleAR_(6&_5)NLYlFo-Ym49p^$D8rUcDx9Fy`!Dt3GAGqE|LTn
zJ9#Y^!IlBD)XA{R(1Pbn_^;qUgKKcMrK)o^Oyywh>jl#oyqzNFgZh!|m@BaD=BSBR
zaKl@sGAB4Kf3s^bENiUy!4|f0Z*VS!uPw*>o5FO<!mD9$@xh3S6EJ0~)*R_SriGot
z3UH6+Q(q5QPmJrLAS|=?*uw{&lPHed2fxf@Uvz~-HE7bfU~kp(Id}M6a@so%xc|P0
z*Jb#y&r&BVENWQm;RMqTbH!|hlZ^guP=U7>g=TGpS?>A&I{^<wMli2;;dsK{gowfq
zgjV;>!{^w}1|NVuWUQ`C!v}+S!Z~5b$Wh~E*u3g)Bs(k-rTvKH-#mROh8Ffa`Q_C(
ztfV><O$Vpk*eEyxdo&7fpTYMpUAITc^}-+6^8f#R=hH8kL%LwKVb2}?h*NXCc>5l<
z)c?guzAwEwD|GlRJT<9srx#`{U;5erhnhFXcf+|p^@|_iy&ea5kndxUpO)(X0$+Jo
zzN-!1r$V{qGrU`GPiiCVvYNzM4{LD8-)n{~k6lu#g{ds&*=u2@%8dq9@VtucF7kcw
zmnVMsRKQh->r(!M&-cnUr@~DP#<6wqr6YQeAHaQuYYd;^D~m2Iw_sL{;w`Q4okFvP
zD0oLdT~q_i>@mLeCQSFiJiH0+cI^=lf+e@T-ufP%Y~FC*4ep@Uq5c35*U(6Lz~P}w
zL0{k$1`abDxaM%sb#i>e!W=<Xu*~0Y6r{bb5V3q+SpS{&3fUheW5G~;xS)O2>l>WZ
zo0p;i52Q(4{Q>`qe_pK)^FIk)Y=MXSj<zYoyiu>_$o{u<sV^(S>8f;Ir2lMA8SXs<
z>m0UpCGFp3aXBdt7gUzalKv1qxM(5>Uu<ZfBKx1tdN_v<KGxzs{}TRmK;ttjT&q<u
zSphqXr|sSbzv57xBj4ZOwqIOq3w$T~{51LgzDAq5-ex%4`H}l0*y%x_-@;F<AN;DF
z9>a~>UuVq0XGOP6k>3YkoA}W%08dyj|H*<s9lgNT2Y;D(FcAmyCCv$chczlv#uDHU
z1IM&F;Y<EKPSJ3(lY@6XY@*U=7Ym<^EPqf7$F(y234@zo=#*B$G)-$m5wIJ}dUQ3+
z%2Q!O+Gpe9e(@AuZN6=O7v3yf8(RV&2-NI)2;biK{dEQ`I?URU3BT;SmXHMpEw<_9
z!+XC3RK>%A|KsSs<GK3&IDi)w2_XqtWhD_Ri6|MNB6~!#QubCN3MG5X2pP#Hg@}>}
z70Jpbq?8r;R@U!zet$k6=YH<K=bm%V`@BD_Vd^EYvn)qqJpAvD#(Q%9TpYr>Z^E}5
z8(-JLn<;rp{a_u>kdx&6Q;c}bT!Al~9F-*Z!v?m{OgmWXg@eQp%;Y00aRfHJZMK`_
zA9$^_Z&C`bY5U8v3R9c6Z5M(M98h4`i03y_GeYz*{Jo8q@-VE!@b1(Bn6tfP{RnLE
z_Y|intbf<rM-KLKx-KpNmtNuYItg!xn%%Y!?z#W{KNa};D;^#m_`K2GMKzc~Y+DyE
zET)L4UiekSq3^rl-_6xOP2iTHoO({U)IZ4PGF-pZ(z6o||ITB51)gsbv?j}sD%~9+
z?~m>vxf?s+eL7r&<b6}}k8Oe-HkQ%o%!WDoc>XfM$Gay!=D;U6Fcq=Dy|F&;N&O$R
zo#8b-{A+=+nY^#hOa2um<*HOCUk$)DmXjw)`JZ1MFGzb!Z1cr7vb~R=4oi~u+j!rJ
zv2F0!<+l=~{jQK!?ZOCOJ1ST}`ZsJGQFpe&)2@||N&luNce@!`K90*@fb_4!hKAiJ
z;Y~7(yrh2}l4-2587?#(NZ$u@MG9K1_T&9;Z2f?=hkNQD{Gvelt-nnyq`!Sy-+0S1
z%4Jfub|}NK-ul&RaPEt5^!l*E3A(l=_%6TGHbYoPi#p&RoMo|v$_759_$=WUoE#ZK
zX$P+<mYgNaJIw4^_lB3ObS}-nzQb9|H(@s&jh$q9W)qqJ$oDPxtf_rduq4xqg(x`L
zZ(?v74lUN2&48oVJ?AIjm;2g(WWoB)E|0#$BNNt>&tM79mFJ`IUf%Js3V6f9wb(H@
zzp>ct6@1xXHK!l08{2o0e9x2KcJ1~cY_#!re+w+I@4vV%Sbojs^Lsd~dP=PqcBrT9
zB;P+Jsmw06!&(8JAIbO6*OR?c9q^Q}qWU-Z%aq#LcW~1Cr)pDhR<HENHn=HUU738J
zwcM7;{1$ehsX0Zy&)%MlZf=1CDfQ*(@jbWw^sj-}F#myiX$Cm=?A3}l@H6|!N>*6g
zvcBa7yxrsPQ+Aj(T`Id4E)#z%!Ar_-j=U>^FRg|Plkv(G>+_FF;PbmK<{pF#I;h!i
z!EV+@F*30FX{*KCuz`~(qav)fWsKbw4hwj`RRvBEl>Y4o7yk&qdmauMa-p_|xwYH;
zwP0__rY{b#_TlV}<omVD6AABwaL`Y#G4lOe`<A_)IQ%4F`4ahl{$EtF_a1nA*daqt
zcrX2g9xrU}&)7r8iv;M|e0IRs<z?E)c%)X=R0boweEWjt4Ok?6bNN<ckE`c=U`G3a
zek%BqO;DQ~9L4i@X1$NhCysjO0pG0TYTii7FT1Le^{etq4*W$qzvgu%GG2Ag*Eez%
zj(Q<09}RoXCzVgbmzm{{k?~GJ5AT5=r2LFYbr?L%lex1KmhzJ?j)CnrRLpk4V!s7N
zQsB4!FDP1J_Rw8Isc_(Y>p&aKbz|+(BUnMdmEsk=VBV3M2Y*lgUS1FL#bhQ`ljVmx
z2Fl<we{7>)!pX~%kri+egIxGWc!s^EJO|#g@Hem%wmb2BARBJd-cJ1<?sM?i84g$K
z2Q9b5d_|745%7N*?$^n9Xv@D@X(u@2cjy%|9=d4zZpIZBcCfcxfS=Q)Z?uE^*Y;of
z4G;H+_S?gU{B{qm!rqU6@6dzI>*U(W_@-TA@3cN#8X&Gg3+Js^?ofdXX+o75;I2f4
zX;t{Iu-_Y2*golz2|Mik@Nga<e5%IzC<p9XBC<~ezUWoU#|JYv+&>@;t8m4$iNhr(
zda0LTs|R8Sgy7_W`NS)5W!2U#!f>GC<Su7;Z7z2FT`%IXl-5RrU_sTdG%fH<_o{^-
zylMB(gH^Cn+FK(M-?T$nS+5cvU3)Wd15W?-_DLjsBG;uM5EctR(i;wc61F|<12bvf
zHPVNLb9M@Zz&y^|Z|TAp0;wL8_^CmQz?gGzsMn!Pvi_0xOjT!Kk!^hZ-tcmh+x#I|
zYfl&pS-vBjo>c;#O!2yZ9X{e>tHBNj_Px003y;S#da%Mg@;Tc);r5?_K@9Mq_0uh6
z`AY`k#q{us--940*y2V`-4^&yZMMG)+<MU9+a@?QIBc^GeDIty-S5xnPl-h?+r!qK
z>xUNLs1|o0GC$giX2xI)_Kv;mdX<!0miUgsBde;vFTn?F_eJ-@v7Rz>B))5jZmzNi
zj*Q`SF@k4@ufA)8qxop;jo};bB!7K?`4^^UwBgRnSwiLT(m>p>A<SCrbN(qj9PetT
z314b-bkBmnt?=pV!bYQ-DH-rU;D+9_utaE8M=;FadbL>#9;3|t7X(L~I(0@3PW+g_
zeI1USe0!427yrW^q3j8B3#YzTf;BeYw6%txFEUn=cr*j9o6%OV9o5%k@^G=wQkDtK
zurcwl0<1l@{O$rA&}dsO4cmFm%$<R6jMe9pc(vjuE4$R-J=bDIBw_C<kNu}$@8o0q
zq+oU1V9k^8^cU(p60dfv%+Es%*3(u>I|P5-^5B6eyxoRr54qp<cCnQRz=9RIyUFvA
zKzDI%FMMz0BsT|~?>fw|8;&sh#Kr~RV4;>`gHO1nB=3a1s%cHO!o2CFk!<iAF}VOL
zSmgF~CPuizu`YhS2jlM|tF${{JCQ#%tMGqy_2D$IZor1IX*fo{#-ARZHNPc31t+E}
z-6hZe({GV_eenL9!rmKE9=^5T=QFIOGQIi-<tOu|GMeCewYpy`@T_|D{2SPn`Q#Fb
zPiW=JWqAg#xo!AC;u+#Iw#b#i(QY+%lkoBXqR;2UpP#c>llX;+IHW3q!(vr_w!woZ
zzyFAXi>kkmbii!yWXvOBn-HeUB!0wh&u6zFSl{005{VzV{h+x%0AApEYmpECvd&$$
zgWYs)X_dm^VJBUz;b&(Odr1C=RDZEN4VYd>u<-%htJBzi4$i;XeL4;vd1^bZ1YiBW
zB2Sjz*}8>R5$1iHS04@w{43--4o9lKuZe`Oc+J^M!6_U0>&W{jU?s&*4ECx#Sxw$Q
zcPtbii^3hzKaP{}<nq#ARRZu8Gm4|+eV248?F%0~F_T~E0*`oU{N{iUb=5o}@4JW2
z8##Bwy*n=-Ch-)T49X7ffWPi=6(#W&4h>1I+u%D_X^)(RKkYOerG!hn7!Rt$I@&{G
z8(^1{MiR2H_ZJJjxo*5)y>$iT;U;mhn=^3Kx&LycU}Vpa{0a+foOvh>KlEv+9EVo|
z!g(d&Cu_m)24Iu(ew>G4y+N~uKG^;)cbYK#V876o4mi(-Hc<qgIKNr69bVPRW9Nsj
z+O(c*hH1}7Gn4j<#^>TIZ{e(I(RePHxz_8(OE_`^QzVH$i*z;1tby${3mHlKXcPP2
zrb3t^!)h}Jyq^ATE+5`jzjkK_Txs@<G7EmTq0^7VgIs)(uAL5douCZZ1jjcqh6cgn
zK~~NrKJ2Un<MB{9Jz2(KH+*AjvY9vB^1aTC8%}?lTY3$qRr_X1+Hbx4UEest?wOev
zN&C%cA^o^5{GW^d*b>@%G&Kt57hsDwFS`H1HQ^?~hVTWaGX^C7!S6~+*D<(P?TZ{K
z_u+0_JqjP(X#Z*+zOW^ZK@65_qN-YeEgG!9iNoI(eWX_45liu9A$U4*r^FiEebAhD
zAFLRhTJ{^>e*EPH2AK7US~_Wunwziq)5E_bKJFpw6WtS@yViyGEzf7>|KLH^&h{0U
zx$Qzci5D=eC_C5%=gw!kllT{RI%BFHc&U_ck;Kp3PGw_ngRKn1r%8OChQpQSPq2wa
z<P<so)J;PI`LNM3`({p<=dg-KE*$o6QjJ`X<Bzi465*xyL9%RcH~*2d$#8i4_7{8L
z>Kvf}fAaf?i5zl&%qf*z2!z=>90bJRr@}LS?r_fP6f3#^9=JFfc*4aG+!Kz&j2VX`
zO<@yLX8%*L9#x^W8SE?faN`;H5tFQ!A$*LY?H_qwa*sA;=)*E6<-JM!c;?=<z7z2C
z`eJJ}c!Gw3QV#w!%k`Z+FE=IAcS^!sz0zM4;9HG1BE;Zp$Newwhr27}-?G9>!{wS}
zf0Mi8Q`zCOH_m<}&sXDK!BQspNU&ZrdA`zbx0$lQ(rULG$^NNSUrJc(#P^5CVWpbz
z{mBA{4JZ$e<`*-9d(wq({XzNg;k`n}aMilI!9V!M{VD_&<9s;J+WdlbS)Znp_$oR|
zsZ)!v&hN9_j&RMHi0cDz>?$vfJDg;wnbAkeuLXsW`epV0;kPYtj*7mI6P$BxeYOb>
zi+#Rk4O{kpVSWy427Aoe!tcfzepbPQlq`;<zOr!iUV8$E7|vRg_W6Or$6Zfh=d%%C
zZ^9ZUyJ;W5EnS=217P}$r$>_Ex6&3`-tbxRK|6o=<j*I^Z^KTrZ{u#k-6!a3N&Weu
zZ~x=#aB*03IjKKSjj*?S!l&c*O1Z+8iN0fwu)uP!7&$)PuWqysa9z3h6LNfv_WfL!
z;q1fXd8Gbi-q?NGlKehP`T#j!?YeSC#;}z1H$D>Yqj>bB_(k|wVRR-rA9aeE3VQH0
z9@!L9U-wOC+3CRDEm52{uz2%U-?Q*uy`wB-dv~5QJXV9lo(3n7c%T|{&#F`Kn7(kN
z6>M<g;SpKbPMe3B+>Zh87*vkH4^^vZN&OvA&+mK)j+3PcSArE^ja2P`zw0SGorBp^
zYod0-s?&dGbm7xC__FBW(I($XeV8+3-D^91@AIL{m*C`ouhP~#@IF#JqEGIZ#r2;}
zt1zvT@8=8f7^j<RBYZ2;H}fjITm2wU6TBWTvzHvNy?47}C7hkH$V9Ghgc+wpIn2`|
z8EX%FmA#C91dCG-1vta625lxXVAp(;yJY(xt}xTYz?)>}J<0aR3SAFH!9Dq+f64Yk
zESi<>!3@F9^CocNtcc@XSiG>%g&f~@&*vLe;HjnqhspVq-g#VD8MbgVdq$pzJo$UF
zaxk;O&BBXty8xs0ad`1bsi+>@wCB?G!|<oFW&s0u{M>Yg1k72#oTC9>-X-^JKYVb2
zKAk*&F2Ns%_Q7LmC-$hq{(E`ndEou+=h(>edTpSJog3Cr^+_W24Y$H}kzH_W^qpu$
zcwxgCza8+0+h1Z2!85P2qPM}q6kkJ+z^~t^yx0m;doj_I_vH}(+Q{Een2(&fZH?3)
za?5!%f8a0EM|?^AV|<gv<&Q80ZJ!=_A3MlqAO8dgi9GEh^+~(#DYMtG);9MBIXG;I
zD&!R`%b%z$2?x9CKd6L@a$V#|eY8;}+_eg(chRUh39nZcyhwsIyCYM`_kmqpJ<%y}
zLaozoaz2E5bt*z(W9DTVay?wfuZM-hYx)EC$n}zV@FeXHJZhYB%M=dm?Q#!-AF|!t
zK%OW2Gh2iF;8V-ef5`pyx^n-;+c2j%rzg3;TE`5WykNK4ZU<7I@Z7$p><v4lKA$G_
zgF!xHgfV>i`;GUc{>bm;v$_ZiR+^m&gJl#HJoR8X?yU+D@b|Ps4|QNQhrMs^zz(`D
z4T|tZYm2gAcu+XdSq0ww{ZMH#{H8m}|0JBa=i}oC@bmMThNs|_N0ox4fB*DpnXNP|
z@<NmQG3;tuC4U?)tddSGfqlFiv=77A3O>d?fj1bm2uZ?Bd{xZVFpKC%8By5f*IC*c
zSWmixQ4BsXCK=KIb3AQ3%?fjO^g6$T-}W_gvcozX8|OOUL-}<Fncy%VwQpT;!Oo}s
zJ7F#h-mhQbFFP`)>0qkV?7?qvu6}a;cGy-o+ISxRL?75i1$Wyq>MXzxWv;ij!S5}9
zXl_D#zjgR$(~ovMUrCJzNq;|QfMVf0+^*JLLcRx_UJZ-MfY}uoEJ%OEo!#JS7OZiH
z`U{ya!?0YM8VWPAcE9C?YsFpN!r|ciAC(Wl;%$fT+<`a#rjsM{bGRfIF9gAnGt@Pt
zf8`lkV($m*3o1M%{i|eN2Zh`4N}}8$(trCb!LRED(-gb!C;c~(e<S<7;g%%l+%s@h
z>nU|RILWgsK?AOl{>$qC2iAUKF@UKzWF5H-E8khCBmLQ1-F~6=a16uZR?>g}Q@T6V
z3a&BY*?1EcDeZ8zhF1+Zk*EdV&&-aSJHoFH%mtDDzxk-la}W57|3JVaxQC*lg>277
ziq88n>|YR=?gY;XQ7@OkTa&2%sKB+a>szbf7x^}sXW`5fb?@K7Q9PQB$6@ow3sr6K
zHQ}{nIXE(G;n-)GTI%FS0azi6mwO0Szc8M?4=!lrPyGtNE>)@EflabR<G#TeJ0i^a
z;JYq|V*bLN@l&oGuok^^Fq!Xmr7KjG3udl5zLm_szjd)ceC;E~XWS(ww!z9m&XyZc
zZhlhAlFV05pL*f`2j!Bt4_qMmyVxhrpZN#tHcIr7`G3DICK&&M_m1<nllgzU?+HmP
z!j=#BpBIAds%;d0!ota{r^)=nlRKALXW-~|?#4s#<_$;pe}&KF(A1Fmd*1gN)+ga^
zJ*MMi{`fg&@x7nnJx>RPPQg3&D}CsP(=N>lYQwwaoQFE#eJvlkbYZdmf%kgg6A529
zF2g}KkCWQqqT0G0SKw)Tai?~8;d@IonXg}#X&YS!drjT+BlGX)3*2NI;A`PAHv?fg
zmLT;S_^#?z_q*`k$J_W`!b&5qixF@|Gux30Sj1ELM-<Eul1%d)X1c3slLUXW%-UTF
zxBulaOM#1Y`R1R%!?zENWWjGH1u61j*Y-c%kKkWak9rE={Ekg}#jt`_*0(H}dhNs6
zQn=$GPwgYv;d<Y@=djujhLLzU(%1ZX4SYOwLr4<bRqs>L3h!Q@NsfktZpjvXgkxI_
zIPSwe%T~fuaNnWbazU_T$q?%d93dRJBN(3GnNC=OeWh*rZo@6wS>b=+PMK3)_u#z1
z!C-chzo@=D`8sU(P5BxZoN=vI*#}ODwe&a$mygI^v4`m{*I68b!(<9&9pNeS_AfGU
zZS!SyYnVUFt5+6&rrpVV6_#QTF;Ipr_+*p};nZ^-N^0=@`Aqf;a1YnS8!h;1%z0sL
zc!eRLn&cZhvW2@_4`!2n{M-tra;yKU4!8VNEU|{=s)Syghf7ZDA9R9ehMV52z)PRz
z_+4OrU6Bkmm??)co8+H*sAF0$4I4Wgh`tG5I>GHA2k*DkiHv~h7|q)0;p-LG^poLt
z+C`5T;L%G_-I*{=@xcmeSXi3o1IeeAz;h#%25vIuJzE6xgg6)eYeRkflIGYGxH7fk
z_6mGYmcOzJUN1Zlvk1$-jVXEoYtK1dS%SrDi$ogW(bwwtzQTWR-C}QsS(6x_j>9M3
zS|-1Ob??u1cEV>1`GelTA}%JrpW!5V^E+MeN4}tvSFpe{o2&h>)uxKT*YFfo$hR@r
zzmw~22E4VkyzU1qC>x^u7|#60ePXjU@*yAT)=P(t94(Ge!7kyayR+enTkoFmz*Bs8
zzCM7ha_DmR!U+~ns`B963xD=rgjFAh<~@ObQkNVsh96M9_I(PkY-`K6gySD?O3#85
z98B(Cftd#rxykR(Y1Hhz4X^(!JV^HMB*#YD0GK9bcoSLPZSS6tP*|R!Z80By;5rZ+
z4F93O?p6wq*d1lcf|aLk2IRsPbvLOW!CbBLqJ^*`PxY1x_#oW^*E9GRl?%f&I4fIX
zu^f)943DURgER%1b6}-MT;6pswRnF_0X!Pv`L_@Ls??N8_Q!bdi`fCV>vhC6vi)t>
z{jaiK!S`05!^hg;+Vl9UO*peGn7#upPS@Yg28Xhjt@XiWW6P|&;Jgmo+#$FtP;l2i
zc$e1k=iPAimO#4w@RzEDaB_WnIg&#q;MV4rn<Mbw=f~s4VD;}|LgfB%`eqd?51;JY
zrAqD(`Gb3JDZzc;+_=d4f~JpdP=__E4vDtHPrgMiX}~<k`V8K~?kZlMr(v&ImLPJy
zxNU8W&cRojtW3!HIacc5s|!=-bJ`cdj8X5~^x-2<Y)+NHA?LrUUxG`{aB7kJ$!psI
zC39HF<=G0kUSZ6a6kOre!=|+4`~`+)9&?8$8<axH^~yasUmgy7@{J`wgkzNt6-L4X
zS8pnl`>(q0a{fa&ex6B>+<)0|j~-^iB{W4F$ntIyeQ8hO+ttSy5@DnIUGe4cR-HQ&
zN$_yD_|BKGe>LszXt?>5-L^XT`lhV3c$jW6ed{N<`1Y>Wn{bn%?9U$f`K}9@ez0w|
zq3sB4INA2(8mw1($LtGina3F91z!x!9GQYSmS-N>z?^~$?`L3(i^AS^u(t{0+5h07
zEaZoSnbWnTmSOeB;!YRg262}P%BzUC9RC%r4hwK(XHvoWE3coQg&#Hg^Q~j~QLBK@
z$KgHgSqx-(SzQxK8CYNAR@6U~$Nu2jD-8d-9_h0NCyvPdcL4T#`D|qimQQ*0OJOs7
z;C^BY1H70|!A1oK4ZT)ngJ1q9t~c3=@s3N@d-lK-)<=ZD!vc*l=|b@DkZRRl*ezWn
zR0KY3^?YFf9;wU=mV^CX|Dx!EH<$+aorIqc%-`yR%MxkV3}N3+uBcD2=n%4i!c$J@
z&cmAxm|QJkTGhyy7w~*qppFgvVd>75TKK)*vkn*7X*}Dr96oi*x7iIor5ClQ3RaUI
zej5l&*yV^lfe(CnRC5>ZoC+?kfPL&FWgZeI#nu+XiBDF<GGSTDkeE`~IORY|J{)#6
zA|n^3ubIs*gw@vlJ@etCJUsm6@Ymh`cQRq`-6QOku%C&ISPm>^C(qUls|f3=C&1F3
zm76}mOM8y|NrJ;^I4Fl;{ad|<ZosdjMtdjVx`7&MANckz7Q-2M{jbae5%^8@uepsj
zn7<`@qe&R{wS4CM7v+C+c)sq2$F3F|ufmtjt}wF0eP1017vY0bGCWN1$CZgsOR&+&
zduJHnx`Wx;Wc{)!7mcXlLSq)yIhgx+Y2X$(PN}nb5*{Bi$z1w?{zv2Er$1n!y_>H6
zfxXgy9wO_PJllC^4%VyC6e8<4PY{1H14}K_=1s#7V=3#t!n8v6X|u48(B+@w@bA5X
zJY@aze~&E>z)jY-cYcRGK0g%bhs$@##E-yPmS+^-!OL&Q{KjFas{^bbV6FZG8_4>P
zGb<=PgY`7&M}EOOs$V#j!Fv*4Uz&o?<U2L{!?bQYc*y>pv)uUm7W{YX>vZyan$WkD
zUhs;<k2tb_S>YxJufa^d_gTpP_21){bAorje6fw}A9eSus}AtRx+|e%|7x;=uU&>+
zS%YqUf!(Ervn=7Uj}jDp@O1sFIvuz^+v4XSTq<retpyKC(AsywLe=5>4#CN*$K*-5
z_>P{H!*J|U>??9V2>0r<^TQ4<ad~9>i>*mB0`R`Zc_DJVOEkKxT%^43Cl|RMv?B5C
zJg`lUYU&Dnhx^P3EBri8K4uLbvk!jC4*%Dm%0z|xscX}>b{hDARlo`j+}KgPN)0bw
z;P;_`eN*Um|9y||2b=z0-U4SS3@QHy&$T5?lKagt^P9^syxHk+BPGfO&(obAg<q-M
zSE7aQQ4Xb+!a`Iw6s&M9)2vGwtoZ8FEgm?<T(vL;wibP%vkwjqSMH61D`qvixMAOm
z1C#e)O8xcbJ@D(y{^}5Tr>C9jewczPXwnsK;<XYKgO54H>~MkaoBqxbglSXH8mqx7
zx4t`w!z#!A^=QCx&5F}%uzU9G;tAOBym7ZW{3GyVlRO--xm{Nu=HIE*a|~`v)mJlw
zH-6jXD+@cv$gA4G3>LYSoTR*5dbbOF<*`pFH!Pd<B*_alz9N^q9Zr08-~T3jNR7^i
z5e{5qq`V6&`df!=g>O#!{ucx%M;<oa2B)X~^@xJ0{qEUQ!jfi|wlQ#TrH=e&I3j9j
zDj9xoF-v3h9pYU@l!qU{<FD;`*I}ieR~H|_|F|l}|AVQ|@oPVZ7yqdA{)4^t@78(_
zi+Kl6{(@OA_$XJyL-U%|i}1#XKMnP;iEw!HPxwHhepLfZw{N%e9DFfE{dqSW7o_g{
z4K_NTU-%i0+Rm&!1!vF;ij2bN1WuWKf%yvk_Kd*+O7Ez@!rV`<@hrk3{&OrtupQk;
z<|X*j?x$13Fpu8Z*fm&md*`1X_(xEB&<0z44>)g_-VfJgCEjI(^=+MsI$-taA2)Wu
zG1q?UlI8Dy9QWdbe?F(QY=gV59d;CeTcd-vk>zjniZ~pF+y8~Jy@Lae-!MN0*E?!V
zzlT{Q{*21Q{0ZlVJK<N;xzi_LgAEMbWd9n5?oGMCPh}_P$@&Fn4|I6IjDNfn$@&8W
z_I|nxza74qL)L%2-m&o>?9j09#s}D`V@fF+-s$i>>lvKAsb=qen8I}<Pc<x6a_C_x
zJSN^MQU*WNaf>S>u8-VEmTyv>XMO?S{Kd(c4WE&{vicGp=kA|-1aA%d>fHpFC>qfw
zz@oewR`1~}bW9`nVgC=U<DIa@KL6z)SZa&VhtKd#-uH}9nEvtp_upaGTlY%>;CV0Y
zS3ls$7PWvo@WH6g6N_+?U`m<?Y%;og-yitF>fAdwIEgy(@htp4;?$%i%<9n^xd1C9
zeXY6-n=)!MtiXKNDAwg*Bk%am&333i9O6Hng!^}L>(IlT{Rc**;73M#R2X1%M2*Pu
z$1hYj3c*Q^E>|Ss`!X-8gyGeLTaJ_EJO5LZJ`7h1MOg9>Z<An=hQBPbN$rJOC~M+Q
z!DkLIXfwfL8&Z9g;qB3J0?crZ*8Wv>SeNd@)t@bBZ>J}{GJyR&4dbWa>)*D@pNGYn
z9&gNtt<RnrHidUpXo=>+47_Eg`tYcBrOZS4j_MU{L-;Ef&Gt-qMSEk18LaAT!;uUd
zYL_)yz!xMrR1@JAYqrxD;4ANkEbhUNLmWlP`j>1IBk#g=9vww`FwZgLd{4N)d{?{?
z%vZ+!*&SB$yw0KpdobOeu!j}%m}zui9qQ^zNBDb7**#-;evNNN1Af)CtZxaYs{UhF
zhbMUrKa=gxY}VPQ3_lYYd1peLB&w?jZ#a4UtS&4o5^R1P4!Tr(f*kL^>@zQ<;Jgsm
zljM9lrxrAe!QV$`52?Vsw_}z>;kth+Pfx&U=a(o2;aAp3=>><~{36B=Hyvf&cMP88
z_U09V-{wC&d=x&wv1bz>{BoOqIW4^PP|lJt>^U&<ng%}lAf9(WoU(pYfdc+_br*{S
z%#~ZKu>p2GyXZ)^KYrc*Jh?wlFX^2o$EO=I<4*4PG<8`wa(r|DPA`qXp{s0$I<SkH
z<n}?Be(qnO7A(UY6+xaKHy(>?MsOnoWy&X*Q}$H00sLJ1B1a4C$D5sS2^J9gu#Y^C
zY67RYF2G;;hjWYI>5Tgf7VwGqv*iVFaeqM;S^v&3w_}&!M)OUr((wMP)XbORgj=is
z$oZuSG>J8VUlfI~2*L87b#9o!bU9%P<a}Og$yqjl1Iu+ax#6Wd9J5C7-9N@RIpH&6
z4vt!|?$+5vI@q~QRZkCY<y&vu2D51-cAtaG?W4XdH)DQ2twoI{oMxW4{U3b5yhK(N
z=J0dl`~}x&(~F;h_g?MH`U!7RoG%rJ_j~6&8Hb01Rk9DkL!Pa}U*MO%(fq>j*rm+r
zKDcCXoK*zodDO<<OP0SUl1S=rA*)CG+TqDHuTWBdPcHQ6w!xO>uW7m9|AI;^-oimM
zG#hwe3A4$_2H0e)rr$33{QJ7p8aSmO)|CyWm|1;S4L9BFU0{I45BBwz!TXM}PBOvT
zNxP|@z{RgGSku7wOaC(G!AD}_jA&uq&LGD}uwW6}g=M^-JT&cmQemp{bLy+`A+N2U
zlVEnoR`s9c{bllNA{y2&T#=uFbJI1FL*TgD->2TgKAEPz$*{@E6yqj%&XlGv0Tvr%
zGpT?ZlBt*O!Wy3)70CP9Sw6q%9&ETSQBU5_rpL0nZ^32l2Ib`a{Eb>E*B>r*=8$ZK
ze^_u`<bdakv%)4}{?YspcKF_-F1le@sA28nuO?jo6X)N5gI`}W&0K`V3wY1Y!>U`U
zUXH`wpF6~V!?x~)Kfl2Cd26NQ_#6e6c<W&qZebttKEE1LpjihmZqZu(0arcReIpl+
zw7%0t*0&yIbS@vx*<-Hz4^H$d_K1PM_PL3W_xn-D36(gQwoR*$8V;H5^L2-3{YE{>
z^)fWsq~%F|AMyG>R@i^&xv3+pNNqC34m-GyiaW!-5pp)X@Rh=-6IbD`kuGC?*w(&+
z(H2%4tr#Hp+e-h6t^zz~;+9C-1CIlk_9?+v42{@M!e!^w6^_77Oa^NTuvo;!ok!se
z>k~K6!ZYWV_8x?NSf4wo!+MpQev83JzNXKS=cz*^fkFsA@3?D>JdY=LdsOX#165qc
zBw=o=t^!hSC%-;-82&x<p-&Lr-L=#C0DNB1?<Luuyd!_;KG-ezqN)UJx^7Fm9d5mn
zCnF7Kn9Z@#!5k058V<v1Ge?pZaDFwJK2#ishrU<lkn?{(q{NXN&)SV0kK5pGsu43;
z*m6GZ*$22Lq{E%8U-&yqc@lhm_J=iDziwhu{e5_w!%V#-OwazNp0r=t{;ocggLn8V
zwFkmn=35=e{_ftN&~5>nuuyxG^CNwN>5Ub<{7v0l0FM7?qbLI(FEerCf}L&*O3K2|
z65LWb;5hc_^26}3RA2!!yf$EzD+&Lwdf3MVZ$5lgNEF^YRQ8PqUZMN6o3#H0wkkfP
zgoFDjIp~SCcw@G~NBmQTNPlE8#bK5TPJ2-<w2c1CCpx9k?Jygs#!=FrKK(^{X%jr8
z6?3!^mTbGeY4t7ogC)O(n&4d*3nZ3ds`|Cum+;R$(<c|;pGS>T>fn%1-G6_;(!Z~z
zq`{nl&-prGnsf)(Y&dS3Li-cUF6^?90=J~7o3+5VxvD2pVY_n=BAVb3vl^>-IK5-)
z!7KQw-A04^@a6Y%?`z>2Yl_bi@B^XnzH&GxSiU6+_P3d&eg;30l~=n5*QHABDugYs
z-8dcs+a|FpCcsT~=Z^Ek(jTL>B4A_Z>!O12i9;)c_ux4t^CCKU{-W>CTf}GYrf-Lr
zgYQ1_g5S!RrcdL0Qq7*Fgxhe|Gufga@SZGxULW{AHJ2#)er8k6E#VGx&m8CJgrzPr
zU%LVeln<rdhreGiz3K!n%r_Lq!_FQ&zir@l&Lj~Z*hyf7(gMCIU&8GR$Mt$kn88E8
z)6zU(i=^kgS7C!E!G&({ENeUMCD<tNsE8W8%KK=y0nBzqh5IbLci%ZRJy@#fNSXpX
zALb@=5l+tMFC^bfTV=1lCCjsvOdlZMU-!ucRFd@_QXY^NfDih2>@<M`3d^N;!YYLm
zTdZK2l?;^~@RSb10AN?Q$R--N?`WccE&M3?dN(!vbRt5ItWQIjs=Eu{i(eVvKS#D_
zSkKzj1Ano%r`Cj(2k{rR@FUZo5nJJp7lKva!pTbwwN$XdP21*L@_XvG59^H>FS&ZY
z8jaAC`rhHfEAZ2b?bXF_++vFKA{^8|Q&0*Ex8J_{3m)I{;Xp1N#1nIE3f`rV!<7$r
zuFF`A!a9!^9{9n6=Eg3)@OSTq2=YBXJYV}^54^)GZMzptGvQv+Mt*N?x6vEsb$1#5
z0LO4B-ExIn0^?^I;4ORUT;1VF<NKU%;Lj1`zwBUZ#o7Ze;JU(`aR+!wvNgC8wu;ss
zH-TIKs#T`LQ#XB|TfixNo-7Yw(LlcETJYtoS^RPE`lil29XKg+$Uh1$EpX3Mfa7Es
zWA4FRR@^B{uwu=uMF_klTZ2O#j%`)BeFL7Wy}zyrQ%vpA_JNo5T6~S*?dx{V_V5{|
z%@$-lL+I(rQ;x6`h1A$(SdZh9rZpUM_+uv-zo7XizV|BpD}_?m87>O6JZT7X<q1iV
z<F6B5A2o)p>!YRaz(TL+=XGF>n|t;L!IyXxd9>kVrJuRJutKQr!87m*t4H!Jcs+$<
z!#OxaykIvO@7OGMh)Wixz4dG@4BpqbI3ou?o&R|=9#-D?Z&ea*x3_b;5C1i}ktPk#
z_4GTD>#tMnStJ4Pq%|}r*MIKa9}Tj+eL|D@3)pGfki7s*b)`y)++S7nNpkz(f0_#o
zP4G&{opU^JB)xS-3!GkYl4~zq<CK211LmI*6k&&*H!}*6`<?yN$m(u*a9AyO5FQqP
zP0I`yoUKe6hIxvv4eo@s(|)mkgA-N6mN&!3d+Jwz!2Kqp@2FtT_iH|jaK&=)_x~C&
z9x(Ij(jT(?_VM6lxG7ZHY%89(>;uJ#3ow&bg4Q<pZk3VEZ#c}V^AmYq9g4^APQYgO
z{hyKXm)+gL29xj<<?ACn@O+`F^)PJj%q+MUez7urbQG4>)y^T~F{NQS%Dr%9QpWuQ
zaLgvPUHx#~(kSZ@_{eC<;dk(7A&+G#Sm@qP%Vt=D{>Tk7Ueo-@`_^+<)x5&wFkEM3
zIPwfW;4Wsu3oE)a&KAO7I<Bho!>`Mx3m(BsY1-!~VLzQG)v54X&p^4&@I~dy>j^OH
zSu5EwoR8!7_kto|o(B=46L2u&bLAlT#dRx@df2qE_h=;iAV=;v8Q(J2ylfo~rz|g2
zSHkUzsvdXXO*3qTRq(!chpyZ3Oxmpia{utZ3}_67=j=?XbKsvrEK6kl%E62>X|T1J
zAR6TO9(Hg_^#Lrtw}OT2Pt}{$=2-Zk|7$9;zXkGcpQGW856&NrgU@LQ8Ib$Cnf(G=
zHhg8i*_}Ku*FKD?WWwL{{C@kur>DLg%ZJ&$&uk*~&znXQ8gjmdC1V4~c%f(Y#pS1P
zhMQ3gslPsGjO;Ii;}e;7kos%eTL129_+oL_o@?;kstaex_3%9#{?HND*{gND4%U)Z
zFR_RJZuw~Y5{}iN60?Gh_SG4`h23|)kt6k!*59h?dbq4fQjXM5N0l-Q$o02Uo<DmY
z-Yv!<(+K;1=Xfs(TSdvK)xt^dO>3lJmJrq4DtOSf^@SiTq3vAx1RjmpRwM*}IUT&K
z7}o0bC}f4(Jt_opU}e#wRCaikNllNOuL*r~E+$y_>LWLDK7)npH?Y9+l*1iSuuQYS
z1~R_8_4%n^x8RI**Dus?m~EuyP57MOr_ui~9xSPDaEe@ixyQwGzhQpiHRk|$;DD*q
zG@Pfkb~p=`UN6d@fXDL^EHmJ_Bs1Ybc%@%MHxE8xd_bCvKRX&v20VthI1NAl1bduL
zaxZ}$x8^i`goWk~W*5O{<BU|AV1c;7xN^923%7nFEIYI1H#r|HId}A)!TPoN6Xbk3
zepIn4gSEOl6)WJ_s1i%^|5FdzosN*})$HQrnhxK2oES^4_j{esE@XUvXWM~5a=rSe
z<8Fn)ai@OnAlIWnuXKYOT(#MC6S-a*ckQ>6_yO}P?XOAs?I>yb^Ki^Dl`>LpdTfb9
z9bTo-epmxLH#sNs!UNjnQ4O%vTammy@EwkJda{2%4nN5mM7+i6ToV)WJX~F`GMR*9
zZ?lJm!J)=hgF~?T3-K53@Mfj<l5zORpMO7G;TOr*#0KCUIv2ND!c#eUOd~MGa#+6=
zY{alR<{O;u6GEd7H{UyanZ$nt-o7k-7S6lfGcf_DD41S73>UJGRQ`b5qOTv5gl%7)
zIJO86NgG_@f;pZF(EfuTC#c-#fIm9E37LoYD}T#jhL;7)ycghw^Q}j>!z=1{mwVyo
ziyo(`U`aE_pZ&zD?w*_B;FnwNI$-w(?z^jR(0-ZvY1{?3nDSOE!>kl{2HwNIWo?ZM
zu$Qvs2NLhHC+73gJe<d}a<&ofuD!Em3Kn(il5K+P#$qME!J4bKH80_7lZwhC@Qmxp
zqB=NR)4*d0-df%zLgH&8w5sA-;a#mx+ev(lbl~Fe7P##}JbeLtbTb2g8JzN=e}u&6
zXc$ZDmcoNKY%k@)$FyfGbKyfOe46?2jakmP9N4G$$;S*hq_!g~4PKAETu0)8GGo%+
z9>T12z4C?dU%JA~docgO;T>i0#Q0RlUHChzO-vrl)|WWu3qKyA3n2R=ur#paChY5<
zKuOk@Tpz~k0XtesE@s0+tfv<|;l=bqw<1{b;V%j&_`RX3RSBHkcl?k8JSE#co&#I;
zo-o&gGauY5C;MaM9v`g(%XrgElJz<3|14F6twgwXk>eG6d*;h2_|rssd^+s*?7w+w
zc(h~BU2?o9Y>f9FgT0h8w~+X#X)ziJak%L$_kYQ7&3-rYgK(s0nnw)W+sx}C2(#a3
zv5tdtsbezuVHWSWuc7cUKgB1U@aQwDo^W`p+`%2}aBUDpw-3yi>p{5}_MwZOxB+L<
z{5Zq||E$_><qDq_%~4>5zv=nvy2H(#JZ>y-Xw7n`9o)r|9J2+^<@xZ8#EXqZa=zIF
ztC^iXLgL9Ziu*fO>M_2yFPGm2{xQ2L{x>|H5zMOs_ry!xS%nJ?4jfX3-`zHpnTAsb
z^@~V+p5U<3nF;tm^`cY~pI0B{UoZ;y>c>4G|2N@hZuPz$F3*v;IRj68r(11<13zW1
zPQXoV>$FX<T;z{w@_!bk$%V3wu({g>d-8uh@#Zlm<*?1}!E<BqosDYYPvMunY9IQ@
z@^oTFSuj<0RpAhv={q}=0Vm1|h;+kd{$n#q@b+W+oFpFc&9TSaiSWjdx)c(x`1pAA
ziF@$<!ks=HFh!%O(_Of`*Jq^#zDKVX=?T~Jyc%eQe|i6zcZDq)L;7pr2$5eK?cg+?
z>~}9=9j%Di%Vhb5kE$fTvg%J%)<xJRckCF6uQUsJStbvk)9*RR1CN;htv?3K@BGZY
z7xvX!TRaMTY&?`k=F3%4NN*N{g?dFJNWOO^NkvIf_{+^8dNN;5{^c!Y0ocgNca0f-
zA{ph$2Pe1n`22tVt0Mh<X1H^x!i3C!Js&R6%mf#)(hpL>`a3T7(!g$#|GnP|YYx=g
zZHCqQ7S-kuZ`-a%>$CbA-zT(tq<_IIF%m_~Fulb7s_(E)Ktt;fcu;dRaT?BxUR?hU
zC(=l;O~3{s%<?U8oTuIApYW%Fn9N4_cJ=0-e)veH;G1&zx7ywEVc5p(g+Lh`?Y{e2
zE3DW~b2J|=cI(Xg2<NL`xRMJmZs+7{f`b$CuRVm9_qFe6fx`?o=B2?)KCCfyu!om+
zRRTO-^7eK;%-~z}BMy##Nk>8Ao2k7hR>ELM+RFJCu*7R~kx+P~bH(W?EE``b8vy6Z
zWLzqTN6iD%{osht`%JUpa6aieCs<^srCcsd`Sx9e3rt_R_hl)pk>FBd4lBiJq&|a3
zPMYp8g%|BwQ?lT>BNe>*@ZKFJp(I}W&ErG5y72bR$=gz4iA9+^vT)tO1AUn=&)YW@
zGVltgwIPZBUixacl^Kp`E80T#r&@BW3={lnWjrticG*9c@}&;rqYAtBlKAh~!1&e?
zxb)-chiPyO>)6m|_)B<v<U@G#!2^YT@c8g$#ymLprfbb7*v0+Hh64D0byY|wTr2B;
zi=3as+_D94U?~QMOO^26#hYG@u&3ykkypgl3rXehbo!;2Z{UN)mG7UzRt=$Y<b3x`
zE({dFf0!FYYGFm!TKat0Wns2}oUhQpWv)z^!Gt%Z0@l`fcm5$9@%!xVV%W&@v~v_3
z^gH`6iC>TQ?A{UzpWeOOGZEIw=GYYgdoIddCg<zju7V+NIA!xEb22~YLCe~V8_aJq
z^Z)t$A=jsPTw%YHjO`@8e|#`X-U1HdI9^QVk6gKU$JGpW?l=Dbe8%PN{r-mVtf?)h
z6Ux&%I-lvoi=Ts2$o!+MBYxediRqKP$o!+umfO_IaEwL8Uvv1Nr>Kx5eEQ|np3CsW
z;IRvb;gH!jy^C=9yH|sYuh3pm;%v2thm5ASFTerp;^(YjT7lbQWAKx!ef!D$gz7s_
z%}3!B_Mf?z;5~L5U3=jdpP%0++k3zLSauKmL!o6CnV)s8ue0GTtT?Uzo6LuB)7bf^
z0oFf!*^SJXNIYywT?<EX3s{i(If@#A?d7o3bA8hz@b;>a(IWT-FN69~nD3Jqb0Pd7
zm;Hk%%)Bd{FB?V_UbPr3bxZo*L)hx{$a8M^o#=zaMEE;Z_+v7kuFdc7y98J!IZlww
zw+pAfI1m9dddRWthP5BOqz{Md>lNdeV8wNQ?mO^Q<u`w3xS=~#GXSQjo2H<J?>fA?
zZ3jp8*0wUj^ihu|ufTtNUccV}+od1xae`kR6B$~={K3s!J04zz%lQuV4ZxY<^Iufq
zF+TIyaabhp`c4)2JfG<fQtlKz$A1#;To~Rs1mB(WF_43+3j6)KU>1(CdjfEluEN=V
z*hEc7hZ}y;%&YPo7BBy(APAdUml=}$Ag6z*)APXoBaymsaMac6RZ`wM%WWM4t7a=V
zk@6n<f9B4xhWCHM^DpuJ@uT`*lF#Jxs&mvdtaR+)f41=54E>|2uyu5ek}o{CLB=Kp
zesMGF4avV7EWo<113T@H;thg}r8y<E;eipy46?lSSEU<IYtdfhA2|95e$*aQ^aQrz
z%q@QaAGn=iegWR~KJe!gIO-HzydgZ)p<<f{Z{GE59}~Q>)b&j@TpJN=%m5n%iYk=B
z-LHQaeyc(IXK;Gr1w2vtaP%u|yp(DA6h3}zQQ{?hSnl7JTDYd5>~anKHz_}m<X0Iy
zBYC$FHi>1qM9ybum7{hsyk+6?XdRqZcPHyE{6#{{pX5(Y=QRBs2siomZ>)!n7MlOK
z!*<*02O8l+JoyLQ;7!sMMr3;mDlF$LVTQS$!z4e;tkQ;C=CJvnn`LBs83U40M(|~u
zpmcJ4yc_}z1~9j%C^tF2rSOYg=i%8Z30kthN(|atHQ*i6J;4R=anmri({Ryfw`UQo
zyZ7!nC0L%rYbhIcKUZ%e3l|Q#jpe}SwO&Wbz)w0^%+ugB!wngS;9sS*8V}*4>6^O6
z;j0#fA4tCDDu2bVLh!8%sZ~iZ(`iF>0ocBEpyD3<DlYXR7u-PElobMdFcn90z$Y54
zc>Uo^vP&7vu+Pr341sXf^0po(*eUv3IJw^@D0C-j;PBPv8#iJ9XQ3KYa0u0g>-O*$
z!G6>A7w8`p_ggu_i?4Z_mSG_adW(y2P`caa1(;HGT;me_Bj^F`FF1F<cPq*7^WoG2
z#}w=+e6HFMF16dE`3+8Q8at*5Pf%Pp8-Xv37Yk^^$_@o_LokP|Qnni0KC<~yH{9Y%
z8+{h0oxVoj0S6vA93caLZt3BA2N&i3z99=gvfZWK3>Pp3{UiA|Kk;9)sDnEnDo#qm
zPg5x0*T5_Rm&f^G!Pi#@p1}?0IonA-Uh(_S7@orPEd?6fFl`d&o&r){dhz%k*rwD$
zHxDlP`m>4^eiHH7Dg$=-o|wZ9yDr>mO@$v=lx30po7-fUhT`ErnMP6DV9R^jJK|u)
z?-ScezEkJoH@snRiDJ;oCU}dipg{<nt;BSL<g1N1k#xl$=6g|Wy$0Wmux<B+{aasI
zPQw>h$3{KjvfBolB)@9mODz@;m?w6)?JLYk^FhD?wzqJ3@eNj}FORT+o8x_+lYE+#
z*Co@<;f_q2N4@ZXV`=9lxUnIeuN~e;acIH-{%@Lvu>;;IUB;#lKYo`O(E=|#mfWua
zuhMgRzlV9wDa4$C|MYQRuZArI-)Abo+{O>ANPf$N7=zF9u$>y`_*2+TZS31IxZ!Ku
zN0LvILZ4bo65i4o{ek4iQoVlPTojfo+FV8QV<oVOCmevK3U5oL!G5guIec(-#vC8X
zPstFrfpHJ4Q98LN61M&?VGkQzFs?x#4X3?3uD1&|TWk&``5rTvx-V~sHz<f)C;1w?
zXM{g)gT-9AJiK7Fhb<$NaP#^Nb8lGELR4)7{H^z@sV&TT>yy!+YQ%G8)t#}2`)>qC
zEWzt+M_Vl68y;fmGw{##d*viwn0;Eo)*o=qvU8a(9JtwleT<m<Wtu)*bcjP^6lQ-U
z&ZPn0@n|;fg`Fm@(`drnTP`+t!7P-<R3x97>r;ll4{)Sk>ViDXCsd};0;{R`%!$Fj
zPuc3chNmd21|;C__*3^@!OC-j7xu#*VJnH1@VU39r%ArWi9Nlo<#3|o`vzXv;CJkB
z5xm8Gy_6r;Z1G?&giklxh>`q@$zF%~vtiE8`yAY`nf|7Thj2-u9UDD-#Pw}jBK-bu
z>}Ce|Kd)z<3Gg1rRevft-_>g(0xs<4aoP%xRNJ$M!<5uPGaKORQHO=^5QjYKqkuhi
z1mkYQy=%@r^T-dE5x0=-1&h84t|$2%O&J#YuE8Y~v+_USYoc{OoM8W93ejme>U#r^
zBg`;lRY3APri{mlTf-LJZuh^!++q327I4M*(KwRNuwlWk-~#NiTmBZw=g2o2HEIYe
z2tQmW`5GJfuKv=5gM6}oko<#JwR{E7!?voMY)HPwZLS7VDzJ0~rCtkcwjnA*5!Sj?
ztMwc<us-|dFdSK0xW5KY)phwR0oRmL=RSo^=rn1B;S(-@W6R;D-MMapFhxK?6v;ox
zTk06U3x4Z$^D4<d*khXgZYOM1+%-w^4-OUG8=!*=URQKv!1J;jPt(9!vKAjnKEX{C
z9asKUVf>|c*JF}@aL$P}^$$FC%2pr@w$Z03o`d(~$}vU2CR@&p&%m~=k&$;`suro=
zUt!hrrrsnU;lIkD{S$DDc*#FsxYy7_W)ME#cKz!u_-)WTr+%2uzS;6RJiMj)RtJ1i
zApHCdxXyiNMLR6zH_++=v$St%YKFOVQ>xtHN#Dz>Z($wV?^1TKZ>1sqD|qHY7M}ww
zol~n&3tNfKWmv%ldvdIb;G7c%URUAaA?D-)`1<_AKbPPJ9-4wISb#}m+#K%W^cl^7
zPx~d98^H{+ZoiV?q8BIBjp5(de+nkT9Fuq6Yr~-)6H-y|sT2Dvbz%7hbB73clYo=t
zIXKK-{h=qEYkT6a7JU5l=Wcg+qwZ}_HMqk=)lUGv#^jx60@KF+dBz7fEI!*u*2i8T
zKy~Li+D|^i_sIFVWG&Wy7rx(HzAXUW?7o5j68yGeYbLo~Ni6?n%;2V#alUvsgC+cw
zG(2M8Q%&+cil%zf9)~TH%Vi(KVNq?S%y3|;N@potz4lm$1-5xAtXBndd0pOET#5R@
zL;h3;ET>t0v=CMm(SAklXIHTs!GUnrZ7*GtpL5oK?3F*97I3$N<QElgq~p_pZG;-N
z$n#^!A7-Qlb0vNFNS>cw3;!V|m?>O}kK}{&ndaHa2va?i${^3*I_)>l(F%-z_^|Vk
ze5;KaDMiC@(T<&|pJ6+3i@BF@?oo=<Bc%MPpkOV0Wa-Zvvc2F~cY{ap`zas)L72-!
zIU)=Guh4lTS-)OK#H&!a>22G~KA3-p{eQu5egsm4!tpL=Y_ws<ZCkU3;n&K#hjig#
z6)u5q@b!^0g>z*2OKc2NFn3oqtp=>jd@%YK{HoVZ<OJM1&VG3b)-!cnItjZ^iGN#z
z<s;1mg<$^G|FSoseiPbtVQxSCTa0lZ9qhdJlVLYJ#QS-f)SnzIqrDvPqugIUZ15v4
ztADhx{gHf4QXf;i)vl+9#p&L5kovlHu6b;&9QTK~bB++)AXHYc0p&L?gbR`PLA%@T
z4|6F0z`B2x<j>TRTaWt%yTq#a%E4)QhUH)2D^p!sr{IK5QoiHx#>(HFBwr?PbU<1s
z?Dxp+u{!MMZE~d>rf!VePu^!L!YM(G@TPNH){Nla*^Zh`uv_guKMQ!pJ>9ty?j8)*
zwuZm@IY?K*q7RF@9O3;gQAT<2m;ptuD=bH6#9ILGbr2LL@8eo-M}-uavDR+Q7oJj+
zpiPA(_+$J?e&g($#}0(UYIH5yp>Wr+{}v<QbB*&|vGBnci<^SrD>Okb<6-H9k`MRb
zL&r+wN&8~dE^Ycc>~8jnITLR0(Jj9LbA4Hk&xi9`CA)25t&Ht9#jt(zWU4*f>n8n^
z<Yzu7@~OxQp5lAiMe;MZp1$R24NKZj>A!{@M^qE^VR`%S`y1h`;004d*qVx^uoX6c
z+3u(b>+46xe}on8U6;~^m8@%6Nqa4(UdTWJ{`n~92gwJzjq^Q^5?o5%Z9f4g?M)Sv
zh0Xsc=}*E1$#Q??;Q2PUUeaE4GuyWHC>$0u`g$H_|Cie?1%DY~P$Kz4?evb$?}KZp
zMt1$b{dx1_^ZoGTBZj0cXs-?~YxJ_i2d&!eXkeAHv4<S6kRIhM`M-+uMh{AvVTQnq
zpPAt!;s?E0;LabBMx5~F`(yX$;pmxf3Z%VV9qy{d0CT<D-ALNwuSGsOZ-A+t>h24}
zr^}3_DPYUg-|VD)&-Q~t?cXzeFF&cUiL~$6B0`u};No%5J96-`k8R>VVXY==!&C6V
zP1^saVfk9Qe$u~)qn+LQ6)s=D^@j8>dQF`^O~MYgmCCxXh<wU?4;&YEn2q#bEO}Y0
zdf}aC?2^sk^D8;c?eJ^i>;Mb+&FY@$4tSgC;1)ZW&F@HQJ?#5Zv6u9p%oy^nH^7mK
zH!oa+6UvJ3KZD=N^oWrDSlTBpvkLej6H`e5ToKRWmjj2S8{a1VdwWGcm0Xyo`Ti!7
z&(uoD#ySzsneOb4g`Ziq9!!S+Su+`u{(ZP@o_YwpjrXK5>0eq&Zrv3I@0z_?m<#*w
zaTW-Kx28nK=feiuT4(OSql0a%PvM2qC^}C#u>0E-`Mx2x|9jUpn8ilOp5#A$IR8J6
z?mM2V?~enxRT9e19$6`}GLub6vdT(`l&qv7eKRt$3We;IjLgVt*t_f^vXZPML?P<;
zy1zf4k8{tx_jB*L=bm%k=blgM>Lr+FLt3Q?mRVnVeHk_yyI%heW@*xTcOK?jyZ(&$
zKc|Sf*cb;`(y&T&5KcCdE;EJgIg9=d!@4_sZl8e<wlDjAfv;w?gc-oWJ~K{V;U&+#
zCWbIm#-WApaKL{t9;)!EXEZg$dRFYCg9_^KLvCYLV!bP0T_#;c_~O-LB3tl>w$t=V
zu*cbed<u*o^?5Xii^9H{r|#^6_xt|+Ee6Yu#r>m$Kj~PraKqd$O?!#)Df+2LV?40m
z@e~s-IH+rCYcDKXtuIK7e?|UgZl;G7<KuEf;2~4__f)V5uT#_^*gN@RGBy17S{cI;
zSX4Ou<)0UbpYj__5#w(GTkUtZ;lTC;M^$(_XEpsh%uXvLuL+OsW^?)hE9~%msSmFV
z$lM!;^~RRM4dGj@rl&r`dk(1Vv4BIFt<Md?kG`z`BE}1S1-ykm!JJQy-y+rrdK%@U
z`4*<DD$ygxJE_IuXgXn~c9KqF{icuA5eMJE9-daI#Ck``Us6|UV1<DKUSfR|5{4Mk
zO8D5ODU}b*Vwu%m1;6df4iAR=gYVAd!ckQVXNmPsgwNhDeg?mqR2hE=|7UrlCKJAu
zHQE{jGZ^>=XTg^>CH08)P_o#yvSQ$S7tV7K<J*==IxcZAompiHF<$Q%LJ}4XbJGsH
z6~Y>Ee~m(5MMH^YV*I)B+Iw3+nB4pI5HbGzEWPKzU3gB4@oXI&Aa+IjD*T6^PmCDf
zHlKFfa}D-5e5?2!To5C{<pLM2Z9XRA8IPO=zq-Q9*G<?5VT$+yvUBje4E=Az@asQG
z9X4>9XSVAXxLAjI_7qHiBwBd}7Et(CYy`WSE!6#h|7$I;(S>z_&*l;9rObRt2|fWk
z^Hd$$gbf=0J~;}XW`D4?4Vzhic0LAE?D*!h6Y(DT%SS@R;FB?>r-=0yJEQ51#NmJ*
zx;_S&k)+&47%p*ie@Vob{I#NlMc@~#T}s6IDP_wYnrtxFq#rFG{Gc(Nh67IjIuR)X
zi$`^eP{UFhLAJ#Dkq(O~%QUcD{Pd&@to&A&Ypo3T>w10CQCMAo{_8LJ$!`H}P5630
zH`xsQz&UG?_<!c7RTJ&Au$l^$has#VGBN!T-gDer%@mH=NG=+N6<j77iS<5{CBFYE
zg>M#B={v#_w-Rbzz>HP<yWQYnAx7pPSWhuq#T%}9kv|d)e<WvaAl5@&t}a^mQHt?1
zH_CM)o);jv<Ha)kl`Gi07*3up9~*)x!%8H};qxcRvp>Pyj*>5k_~83TP7QBi@%vE$
z^>B2+^UzNC)=P$+M0{~9N%}=OY|^;n4H1uw47_@~64vAjQz7D&*BgePromB;R=-B!
z)hBeW88FB9&tB7T1kE(19z30M&Y6h6-tibz)qy+9x@L+0oBt8`<E%WK{rz#}FF5`6
zT&yh2I=VxKh{vY){d#g3o{X~RT!NSMevOF2nkqdBL_GF!B*O+L9QXdtrEhS;FuN27
z{Md2!>m(c)DrZ0q2k-{IAkIfRN9P_DEE2cy|Nk3jqBf5ug(<?M*(Q)~=;YS*?>YLD
zHHmS9Fo|B|{0~_2Jv;uG64%4Kh<_1|TJW9hgUQV2t-4?#C4FBa-dp3#7W)pa@Gsoz
zh2vgYieHCo*F)xs<Hvj~z2pgVx=vgigS#)<t@6V|vA<oG;m7l1V*6nVX6<=my%`Nj
zs_MQHoDXgNcjEf_vlXoL!20n!oqxiIqTZS$z?1X()g*|2O9+SFe+-u~M98iq{ghf;
zpF3P{#aT&;bm#L4G;T1>;F%*teEi=29~uU5LHoWgBLC^5J$LlsWKV+=ME<-?-JBz^
znC#WR+i(f5+-E8H-Q3gLYw+?lZ&pV5@Ae`SkzPH2)0iH<Il=vK72ccJQP*3Hc%AEP
zBRTfJYBass4bL&ss}a9Pz>ln^y$J7vqX<AFJ!14qz+0HCE!mM+k7i=%@$UcNMK*<V
z#QHPe6i#Y+!xrSnKIy~HB>iioV1akD->l&oC-V&n*g9kC60!Z4mLIyL@R(_Gn=Skw
z_gLV+LVTb7^r4nHTy%kcsTRKW`={GQn2((MPz{{E_sh3)aKfMbkYM<<in2H{UtzC)
ze`6r*yCGCy53h-hesh5%7WP;<!DUl)!p^XJ>FOYHJX&{_Qzr2Jn(|;`y&T4fGhs%s
zVpKdivH#PxW~B=7rE;lKVt-H7v%bs0YY!R3tzb2t3}#+fvNvdy*x&H3O+#+D<mGuw
z;{4?tGMx9o1%DU$&%!;t<T*6(^{)1G6PRWBS^ZW4##>}HFPp)6e$3mO@W=w^i~-E$
zxL5ECO#fUu))Zc`3by?W8+uYP5Z6~{;dV$noMO09YXsZr{A+B5>3H5L>B2QJ$2M}{
zH50*ZL-^`^&yj4{-*oi^F+bx{9ogkzI5>c6>=fL%H~VQIY*_K$@;KbS&veZc?v%e#
zZVYGN+aqZLSIr%j(t{uL#QO0QUeJyp?kBt5#n*iBE>23SlW@01^xutql&_5AK4;*n
zn>Q5K;TaL~KScWOy{Fwj!mqt6!-@P;LVEcF@KYK0T}1loNzRE1c-eP6p7{M8Hhi4r
z@F&+t%*5}vI#i{R0(%#~tS5ed?vr-kB-rPfvoi7f)sjPB+=dVBb?72~f8w6}rCYG`
zG5Y`ien0smtmom@hhx8p<C)T*H?@UNbcJ|o!5s_Jw{_slO5!{xV0KZyDs5OTXdsCw
z|3XUb3qr7vAparadc<946cL2uGFo!f;7ayl>mBfY#co;Rd`=lqC6dF1^KNCTu=xIg
z+5TrJAE9@sh~MMs<yi0m#-H9r5WjaIh+WACuI`vLA<8e=;h=xMaLXa1K@Ygs>aMCe
zT(st@L(K2l@ot3N61JC`cpCsah!@Ez!YhF%EW%;MKYuol!v8hajS%yT>Kb433BW=Q
zdBF+rx)14BLHJ__?`~qg(&SL<UuIawF0Y4}?_|bG*{~0`VA*d<%%3W}>9O`Z58pqE
z@BCa2%h6|5ZNO2}{th*8DYH)B9PH#Ydawc3lDZ!I4K8%EEb4%l?Wl`C!9Q>3T<d~w
zkxE}3g;To)*9Tzpv#-KCVU>#xHN$X&&!|B+e2QvH?F%f{%5c3Bek&^UZ5CGecu2k)
z9{iQ#whWic_|NIWCtp*3q{jS0tpTTk6EF{DtQ8Ys)0F0;@PCpje5^3rO}~(1a9BrY
z7B6hdxVd977xi6<tRJy{(~Z}P8Vm4+__VEqu<vknSr(jBGWYW+yko=sMmF5x5^_@$
zPWo)u=>~t)YR@%-fA@Xb?Fy^M3kd4MPu8CETf+|jEzIe|?JtkmS;3)|T8>2i-idTq
z6F8wRQ-@d&iZZ5j_7rS?##l`TekL!lb{uxf%;T4Xi-gLgv|)zre`$wdzl8V`vhbnC
zbO$L|+Dany2%NWbZ9)Wg5y^@bg=_tk8xIlb2i5uy!WO~ND#ZNEb4v#o*x~G477Agw
zwW&vh4HkHO(T^LZ|7>)BC<pQHvi@i>xQl}2?I1kw$+brizTCO+r4{~UW6*a1?r5s!
zYk^s*;tYuEyIf#rk_}t^Z5$x>uaTh~odw&BQJV0;>vF>lf$*=E<zXRMN2HY`0G=I{
zG$W25;f`e?;l}F0G2(b%txc}j!3~s5R$N577;C5ze43(@o0wnvl9}m*3G8#}VJ7kW
z85sqx9EAgUXmp76x)^6zq>d5WKkI)>T+i{G%gQpaZhl&!0xTMBMIs01KD#KX4(la{
zOYVbbbFWqr_tRp;{U<B@J?EH`F)aS`hQLNP##3#n8!h1Eof+qU!+G0EDnxns+>`WZ
z5Khl+X*P$aK7Z)_0Mp)CRU_ul_UGTe;sz_}UoO7{YyJLO<O1)mijcI0qbr_&(}XvR
z4dR{PpE2SGHQ+687bZJ6Ic)S><5RqE-<k>g!m^e^h0U<R{p0!fU?wuT=5p9}#@aO;
zZZY%@u7t1sGFW~D^BuU8ngfpvoGE(@53Rkl$%C1tb>)cp!sG@O&KdCgZ^v1Q`NV7D
zE22+ekJpOH&tSFc5zR;Nj~cOa#Cl(B?2J2O;gS))$qHEZ1R2A9*iDF~u?m){lkI;1
zKdjn)ydDlL<sA=(#e4n;H^SLRP0~Z)`hlhVx3ItldzBYF7}w_74U>`T-13G4=WCV+
zVX=3DL094551;l8!JM;(+Sg!OtK>72u*)?OV;A^zudmz`d?Cx2(GBjRz4>YZe!ncp
z;|R|inI$h0mN_|b5q?W{iuX5sR+D4F27bXLO1c4CC94+N!G9G5f=Dr6eBGI<+5#?S
z`+I>L{xK-(Z3Wwu{hFhO(=IIqnZO@yJ3DCM&{_K9r{Q02Ee6DVbWOz`<CC!1e1bSJ
zpWU9C{(~X>JuE_wnD3qx(lVg~Cl*+<9)g|U@3hy4GhGdNm0;RCWp0{qwG0obGW;OC
zPh1-g`N$fi4GXN@I;sqtx=mfsfuqd_d^BMBd%eqcaJQL9*io1(IjN7BzkiLfghmDC
zsd+Gb4W2rt&MF5x+&c5>27K7CnUmO`fa}q>@vxrv@dL83m>*d|B7E>{@ro84Wm$1*
z29A#3`}Y{UP2w*xN94bH=QMFW86`sggyDM)aWgwT;(Bv?7P5!JL!Y0WBJR(8zWu>`
z*ynnZ<_*}}&tEqWjvFWnxeZ$eYJ6yb`|jr634p~KEm!Mc=fZ5w2)NCD<{t4qUS4X6
zLJZ7g^(%W0K6h%KBn77Ybxn~8-}ChZQT)n+^Pb+eV1PO0|9IuX=dWql@e^KVcPoLv
zI%@h6>p%70<XJ9**H?ChNWnH`n$xdfvjY@467bVKW=^$mrAKp-8eI3z|6D8lZSG~K
z3cU8d&7liE=O{C32dk-*SPsCq-TAj{VA<y0)KBn>r&afE!B<W&#C(Atv8HF=gd-xh
zKhDCxkBLhW-#gYFI^MMehqBWd5#K{niKZH@!c21Y=IQXqli#(sV68LBH;L~nOZbgD
z{=vV*^?ZwAj<)PtO4KKqz?E7Ex9fbMpoLRLQ$<=~m7UU?Oz={!t4=d4IZ|<l6}CCT
zWH<n8ak6{z!bj9c-QL5;+wy<$!$o0!H;DCn{)90t9D@H2Ys7wmzu)*$C<edZ%fz+-
zw+I?Mk%6;s_sJ3K6>;Zx&nm*XGRlqQ_+FLHQ)5gW?%)0EGqL`YN%a`N4jf%(<;nqH
zOtfM%gh^LuBG_QEOgfv>uuG`RK51AhInLA?W|rJ1D+yQZzxL4<HcQAorVgj4{p-90
z>ja!Us|pt#`oc)m#}5TEXNdJ~-q+uxx&f!$RNZM#<oCTve+Ld{Ghrsyw`pi*r3`|-
zx8|h1V1~gXC&OTB1IgNG_@?Z*`a}48Lj7nYyfkjnoeZ}>!c-UdJtu2(7QFSkm7yMH
z5u;&x4xj5-EZBk{j(w)8hOhi~eoK5WE^3|5PzTezFdF8>_s#;fcXzeH{#RPpiSNJ3
zro>Kl!lTUJ1BmabOKsS+i1*EB#j}}Gu(&3_!3fMJC-K}A4!**nIR&5l_PCo^51~sd
zZSQwjY>4sv9eB7pXU7^Wt>Ni+8|EAnJVT22A4SYD_DYz!O-r8&CLw(!Uk-=KY-e-A
z(;IUW3|Mc%Zbdys0NzU>^^aJ;MCw8Fq6D1GT^p|tA86SBRUT$Lv|XVGld8q;ISuD$
z?^*7HpD7>QVGWbe9o^dt`+KLeJHuOU`$U;tQ654J={@1oBno<r@Ou_@PH$NFLZZ10
zy!tFa@G3l~@Sma_OslB%lSp@U@_1(lcZzy$5$S^-CPnrzO|X8)Z8(ipL-hf%{h(t%
zvHw@5g8QT3x7}f5M1CH!+Y+U)6HDw2k^gM`S%w$zrTo}(BEK%bM%EY{cPgTW$glie
zAb0})oZsC}<PS9Rj3INw_0+29Bl4$QH@!gtE4f{n^MjW(zCP4}{gdTayx^Dv?br0+
zBQ=bXVQ}~j`}j2YfS-HtL%4+gW<?6@9VquO0d~BS-Bb&c|49qYfYakkC*Q!PT+y+)
z@JoY_OXF~q&d&QK@Dlmxo-w#PlsBOgHmBd<BymUo#3?hX7IruJrT7==Rag3kn&5rq
zfzA7n?(Aya`wlL#zWs$6Hv1c4)&sNX`_Bu(cYV1|eS`;&T-_xIS0DN>eiYVEU3;hu
zr?xXkeTCh>kC!OHtS24}&BGy@)<@644Lc-zSK#dpRSQ#i;cO%OI-ILq^~DvwaKxQ~
z1npHj%UDtuxWta*><&0GVrN7UOn#=vgciQFXEZMW=E$epw-*+?b4DxzP7H6|vk&fJ
zJ#ZonW^^`<CECM+EUd;!FjEiR{r&K(<uC3Du%D&1p#W^}XZbS&ev;3jL$t3;uJh5S
z!)t4GUE=VMQfk)c@Z-0EEpjmH>^qraxbe5#$)hmm=Q5=_c+!YeO9N&<<8E04@3C!o
zOSJEYcAMCB!_SnX8x7!$+Fib#aFIv{ttrgaXHGQ(%L-=hI19HdPzryAABj0J+QZ-Y
zYmZP~!SgtFlG+*e>TopP0jK!Yp1uM<3(FhfhLa2mPkO;W;`BB-;U(R&_qSm&Hg3|x
z@a^R6cLDI83)S4B@aqNbeWCFEL(92Z@Y%B(d!vc;(V!L$SRm;9r4(4dME9I8taa^%
z?Nj)o&HLMTVBf1khOgmMTUEjfutCEYvlp<Xjl%9l*ukFcNi{s3Xc9x|f%~CU_Ut)q
z<=c0I3jTPITdEumcYJV%9p(~jQ7DA%S9aTS!Utm|>Pujm?G{Hdc%`JfEf>BZp{6Si
z%k>9DJcCPbrM;7b&GWcoGGS?NmSP3ixFLXp=-=Is=`YuVhpU<RQ(;>rop^mXq@-m!
z4ZcE~!*LpRzc{iM36IVPO_;-rA495%>oHF~ZEpwb#?#gl*Xy>Lp|(AIkE<#$9KQLn
zq}>^&awva9T<_z(-Vfa24SP$oJFs%q2)!2^+^p+J^d~<_#t+<vnN;UQ+~I~xe=Gvw
zSMMz)FT$1!CQ8BZxAW_(mtd)c%Gw9;l1VqY1w0~lF7P3oarR=XC7g4xkunLUvbHDV
zfXDS3*q*@;xMr1!{@-bzGjSPkzlr|Y4LooD9?RT$aJk^;_}{S7kbhD-ysa+sj;J5v
zIe)Yl!j7u9BkN(_XAUPTVBU*Oan-QGf`fP!Ty~Sm@)ex<W4IK5qM=%7Zf;iw=l&gx
zX@DL6%N8hyf88`-eG4b<`+BGl{%oSN`3}BfAo-&RX4I&?^8p@xa`_k0znuM6ZZimX
ze1B0*)Nk8{VqeDL%iFVc>F|pd-saD+lci)}CR~sauQLzJ3fP7x!fI0?2Nz(~m~4Y&
zm|KRlXcd-Y?KvF-M`|uc{({>&EJq#_>2Bk3lvi>77Zd02!4{n*meg=L-KWA(_?z#+
zF-G|Me*Q)eIQ(T>02}O?Zy8Ly4~pY7Dfhz+pF@(YVAHv}0%3SuxANTo-*-QhB_!ZG
zPu_ZJA>G{~;e!mk`fW+}IGh^7W}ysoEG%lu!Mh*FbE?CYg?n}>z_ZNk>3VRQ=_)55
z95<k(We7iA+dZ)#p7N<{GlvK223B{&ug}!Go`d<+rYdRRYX^=mJHkP27Q;mQK$*wL
z;tG6i^-Rh%+}k-k;sx71dsWo}M`n}T`@t?81-FUzh=_UAbO?M!n<J_OKC-<t`~fT#
zM`ltAGk%QS^BCscU<<tpH@ft)Wy33i(<iRMqR$;uieMur7gv2)*>{1w3cjp*K*9i~
zNDsPK2me&@Ii?IBo!qI{1T#b)AyI`rj59jl!J*Ioqm_VD7?`4Z;6x9x9!XfEub6QN
z{+D}kln*{d$22ekFU>Hd6YW=fp63={VfCXbg^aM`r=6U0#P-Wm?#ytN!qc>6Sk;dF
z&JI|^bHQ#6ei8XZg=kL;^F@5!hCj2v(EpA0_L+}OIi#MLk5Xr_cLPrUaN*EynB|fY
z=NxRcJL)?vTpu(&HV;#pNqMlqZ91R64Z}yN45ZoNmC?&ZBe2fX<%<3A)N7+x@8FU5
zf4ziY@Agl3i2j9U-IJ}uuzAyquo_szHM2$v*49xtSqCrV=%^os>1-%0iT(|BpFD*M
ztZo^=SqclBow#=#{vDwzk_kJKH|U;#t^QSiBl`aXBbPf(;LVdx>qP(m0I71M8T_Bz
z=u4vizaTQpU<*foc-MIcPNWPizW|pf$wm1R+gr#exWRh1v`>isU!?AfPoD5RnfnDN
zc(U=l&3`b@;z2JXxV@#8^e)Wo8lXt@rw5#_1ckxpB|<F@!Q(#}=N`eHXL>or;G0+5
zT$14%hDnM$;MX&|d!EAjT>V=+;byf)lOp)AhuGd9S-5|Lp=)Ju6WiI|C3xII^VVxv
zts!J|0)91Mt5^r~etw=d347;q*0jNG!K2SRVAs%mn=V+;f7|mN{5-(v%K&UQO&?JJ
zbCT#>7=usq2^ti^5?j0Grs1yhbdC?;WU^<M7h%pZmIG0+JBi!kFZlB`)!`6$_r|-f
zb@<cOJxig)_Ab%Jq}MPWsz3YZ7A!NP$+!dldvfN@ZTM5(?#Hxnfks)oGfbXdY(@_Y
zzbXiKg)5)m_{0WJCPYMEfL)dwUva?S`2tNY!n0oCDgy9<961{^ILx1e<N(~BCBkO`
z?=hbWkbpH$YzrB|%e=x4Qn0<n_gQ0D*>!0~5x!deYEci4CzWVZf~h{{mFUAy8aGa8
z!8yxUD>PwGep%7ua0#!Cmo}_zMN)DK9{Rc8M;Q(dR){i!PfF9Os>0kyD3~l^rHqgh
z5^yY|%X@2h#~D{zDOizC-rNyxT@qkC2)i^n%3p%#$|*k_f_r79UtfVmcE23vhn*_U
zC0~Wp#uJkT;m4_mcyGgI-;ZZ<!69=dBzItrejx`Q*ylK3U=VyfvCC;6{MK6A;T~)p
zm4Ap0z9-2v8wr1>GmxZ*#TjMWqG82-B0m}6lCu>0iLi=M%ld9OkBVP38E(0l_L2r(
zZNrLXu%wk-9R;kaMjMq4fA`;WcPD)6#t36E{PJ+dy}wUzzp7V%mcUsTZs?LAz22ee
zW;NXPmi*K@($hSL%wEA041;u=uvSdor$+d^lnu)YeA(^Qt7iCdsKm#g@E}EmN*C;W
zzHIaxtnw_8rw4x1emCtqe67Oy$wzp?isb26m|gg0z%Z=c-|095bLQz#eu2xlwOz*H
zttrEqDfnPE{o&7W+sJ<B@9@a8K<Od)^B3V0KVWNhgSBD!meFR{Z}=3+>&-s6o`0)o
z1MbfWc>Nw0rtFp?yN>=M&qDn>I4!G_fdUQ~cplIN_im@h(ZDl1nL}IPTaL*$_P|Hg
zQfWHiof#TFJg{BlI(-AYr%34>A1uo7y1x;=5=l2H0{_QGKlBPtzPPjD5Ue{Nd$tyS
zR9e)o1S{>Gw5x<!#WVAi;rKI-Uthx0sd~>(!CVP>^QG|1+N04%utnzOf){Z8Q95Qz
zcrhjSc>!D`{CCv~zIFS6ObPrqCuhqA4v4W<%!TFTAC0)dH)luQ<ijqbN>je@S8l4t
zC-5A-P?J9#*sZ%O52hB)I+X;+-*ckPfVW1&#Z%ya&PB%Au*VLnR~2x~(|WU1c=X7R
z#45Py&F&Ope`QY2LVa+l7ky?D9K~X|^F3V9bZ#aco-ltK{T+TsVzCepiv<*U{D3<O
zJb$Lay8r$0qrZXrtjl`+F??)$)Rqx;Dlo1m@~2mB{5%HNu!yt}`Tx5#(ys!KliGI@
z`E8~5f3brH3`P2g{L_jQjrQ<sWvwJ4|HdDdGY?>jf!}FFepl%YnJBn4neq^E{>5+K
z>o>w3<C)^b`P<M`i8d44H!18Q?nhV#+nDrC%%^b4qIm{qj*!>Lz^SbVa*6Wbb8U5{
z03MgMDIo6WyMXDwA~@LY$_=7?DBiETFa)1wdE`x$kLq`&TAyIUKd&^KU=RCyA9r}+
z{kGPj^BNZKzg0yE-!S}RNaQc82yPXD=MHU}68ZJ-c;y^|Q-uYS>fnDFby8aJPXB#r
zRWRLj3Bz&tzzG?CVt-dzWZBJOo?32UqC7?Y<=?b`-}0Swt%jMLor64KPsW2D&*6+7
zvkTYZ!~6Bti0w}XkGKTGa)-G$i1PO-vPC}xmM=SYhbVtnoKKi0z)?fH{E6~M$|ijz
z33hs~&{_!J-05BW0%rDF?|2HkOWLMYzyWIPr-<_B_i!q^6*l_UZA_FuH@mjrc6dg4
zc_0h+p4ERa3^%c)4kyFbR)^h2VC%eI-b`4c<J!g=EcMqzAQ5(bX*%>9-qn(KnJ6E1
z@`(=gw@@A*A9EwhhiSH#CL{c8&VGg1zLjC?gaFL+VR7vttS<2JkPyt0!sHzX_f}X*
z%fV8aad#fTk}fig3a}n&Z{s7_$HhC<7#_N--5L&yrWyN~!skw;bQAjv*D$+(1K!Rj
z>korh-W_)Jg1cVaO(F7o?O*zr3I90rKAp%<KGHg#1&=F#dY%C9&wjl<3n$#mE+Vea
z3hx-#418RcM4Gss%=M=Q*WqN^UUA}jf4b$N^$V`1pjat_D?S}+{|hU04lGu{llkg%
zTkwuOd!G~Kg{SwA%MNeMxBF1>tPK{9<|rhEH@1Ge5cQvYdY{B@_}ZU$PJJ+a)F;DT
zFpn#vC{e%OJRkj@4qi;F6`X?m>|&W{;nwv%vqXKr!KE9|4AY5CPZ93}FEPz3M!2k7
zG3N*Tz2MhTPMC6yG3z&6-@jnR4&VCh>bL>>u%wRfhkJkP*puRYm2VpPj~8Y;oGVBU
z=UJ)*h`{Diwmgh*^e@InL3qBf?K2asI9;!O7;fEoI>revYdm!ng_Z0WGq~ZwUq<ss
zV2i^&iHG6l-rWZ!VK=WD9-@5^pJOAb4%0u*;8cV~PaH8)h4*)*WE_LZJ_nf_!K}A~
zQ?+1)22-z7u+|aQX`(%Iut=BO3En}w`wP+DG5bl+e-RE8`c!NMkM-)5N5h<sqXqVG
zT<fk6k?^-mw*o!kt<TS|kHCUyXYLX0GoMErr^jHe<z&-qu#*Y%?5^8*|2jIFxxnhO
z)@{3ChF{lbZoo!vbYsWhGtv!HJ}{d{<MvTFa>*;l5B|+=<F5%faJOa=?Z=8Ev>EDf
zl2E|KFgQ0ON8kkfvy$(8BHZ$G&HgwnpF1s(4DZl;FmnnHst@8J+OO{U9YXlePgUha
zlgUDOZQk~oDXgiMHC_%cA6#!YhMzm!%&dfc#qOW9f-lXmr?kRU?+PQ#VB?>^Y}(=W
zN>w^rc%w_#x)(NL=@35$KNUR0+Yi$<Ta`J&SLplMzrd;Kwkzl1Ii<YxY50h%?}jJb
zI!~Iq2;0(avR;LE?wsadf&WWp<_&;t)HV4w;q3pyRQ%!MC9x$kwEuIBG<);m^_b-E
zyW#zxOP2EBCE+4jI>NU4w;SPvb-^R7aFTIpVm*BSq}odk_%?ZcMju>XP*cedzmwvt
z?}5L2^?3`z0h~FSLvU-Gkr&Y)i9S!}FbJn+1^tzPADB}+&%*!i?%tAzZ9dtCO~YlU
z^zSOcB~gyizu|<}1HMFjPtCBRWDPd<7TQU~1BaWcDtG>e|0lU#L2d~1)RPTTz)u92
z!ifIS+A8T7GaOr#ch3r55YygfggXtG_Ym>7bzXG}L0IEr2{qCGiiz{%=Z6=xoK6$*
zQV!a+LM3=2jMjvRr=I*O+NlULJH-#(gtemh-k*RUDX9+<{W*%KCO>uI(RC5NAo!H{
zn>+UK?D`1zeK<0EHrWo=${7quhZ|UasMo>@BU?f7u;kx&{PnP`-6eLSf4RBqKlxSI
z`Lj7|KKzd&!E6QY7b-bV^jA0PW<OKkL4Er6g#!_<Q#a{qpoLEc-n&{1Tdaonh{LzY
z{=1d~2ajKQE(zE5PSg~@Ct}|mJpmtTZL1^Ve=7gdIZwi)1CrFw;EtAsY)9BugO--)
z|N0hp-Ma+a@cw)B6i#`P|KJv^o!J{p#1mH}!rgDfD>rm4(qOx#jg<g6@yO)aNZ2&0
z=*2yl&fAnX8XivPmXCt_G{*V;;j<M@8;{_B8z*M&!fX3v?<B)*N2%wCc=w5~<mXah
z0n!@<|H0#Lu7A#keUxX5iThPBy7S31`0BNjo<#gqpVC{X3?{ika-E28zqB|;Sq?Ll
z+sj{q&uo^2y@Ag-&@0-)g8Mw2YhmB2tJ_3;`^Dj}i>>fA4vv3Be0!KVv%4KG^6_pU
z%9CRji%B1B9Lv>2l(+fQJ<{*taN%J+Gq`KJTJb9^VscIY6kKiM!7&4Oos;M{hAsH5
z_OHWcY4z{*-~ui>@=e&yd6b(d&m8}`-DmVc{AK@nUZT9utn#@r!}6xjUl92#Er;&v
zzy?{|6-0jRiTn0?u);avd&K#i+wNGs28&Glg`9v>%Y8rGfPLj8<B0r5S=wLX;fYx9
z$3%XS^3BFXc=zMx&&2tjbTlw{0jFIi`*IvkSR)ayfJIuHmJHzY<Bdum;n!D|mx*}0
zR_k@HVfgZ<u97}Hd#xqsCp^S@`55v19{qG9WDRCpHf$pHN6usxxziWpo&1-YRp3<a
z9anb2qt^`dHDG_=uQ%A>A1}|IJPKPMjyB_f9|x(wC*tpRl^*9rVcYTJABgz7|85SI
z!?5YI>Ug3)iH`|ykcIzNR3{MiP3LpTC-QJYl!&zyOkS2Lqz3Od6gYPfK9Q(JsR3Kd
zKjagIQyD75PQY)T-P<n!uQi@=J_*NU{QOGPZx_ni7Ei-m%6&7;Fk|9&u>~xbC7-_!
zt{c80eI9<IM^#7(tIIrIy#RmbxqO8R7Hg&Ua)V{sXFcaoKOf{jw0Rxw?^2Tc1_!^)
zyyFAc_Rh<Hf(KtEDc^<9Xe(@uz!$QZ8p7aw{@vT};hE|1%m_Fo`%K*c{7`#`P%Qjh
zc7J^ryls4I=VN%I)g`b8t`qqgng;iz{SK;w#anvxp1?C{O1cfOz~YIneE8|iAKjNQ
zzfXBlA^dMmnf5g-%_S*S0edX1)4qUdZ$4(If+=Ygdx`g<!hOa#ETX7-;N@a3@xJ_C
za^pq=ygDToTMWx6|J>++n}3DHrNN|B#V@<yLs3l@8Ssr6QRPAS_lqhkV!UTL|KRut
ztjsmX9S$d!KRf>wW*7?L34oV&tgFw!Zl@|I1L5*uua+NhTD1QZ(SF#MrFU@+&Kbzg
zaf5dncFu3ZvM<_l&%wei+WDk@h&NuGb+(1&8#@l~h9?ZRTnu5h0+}DQu;mpN38KBD
zw)yfZ3%vOvUWyoB33dqR=YfSTWUdk8E3cwy%nrck4WfQ=z=hjt`$S<MmzZi|JZ0tf
zyTl`K_xsN;cfemuNRBGPGj$_(DB;7F_iNPQv{_A`e`qfnc|T6ogzYDfsS)kPqC|oH
zC*f0br0UB^PqschX$ZF)u2B%<7o^><FId3q;zm2Z!A%~owXERcR+;cc`0MzPz6)$q
z9TGkbvj`1}y1{XCw+v?C{{4<6H{h!Ktp*dYkCbhc7hHZS@iEc<4Y@$e@emew{PcK~
z@XC%qkKiM<aXzc?l~<y9Wd0Zr?+EnSf;Txu+DTw}y=q@Rod2E?_D5xKa@Vr22<)v#
zTK1f9M{NW#p4FgAQr{16?B8);9+r?DpXi0T{k9TRVE4!G7k|Q$1qO-7;X1~GJuC1^
zg}{_POzqE=Kz$eS&wYMVrm)Vr#VRV;>fxOR2UtTu$ovf45JB2-7FJ(5D{l^8e9?9;
z0(PvkVO9=6yt5?RCI<e!NH3!VJ2i79l)#-ODb7vse*#AmtKdNq<?sf$vHg)tJ^a*I
zlJh&9q3P^g4NGywZY{!<wcZsquy|Na@UB42N6ghKuYlA0crWgTe_hX3BAz$h$!S*(
zSjF|y(Ng$Wm$m^HTvyuGKs;ZCl(eT0!wpsb^~CeV_xQ4m1WZ>a5kx#+9Gjh0@-W+t
zsel}~!uUXfBAgx;eLN37DHg%00T(W*XcN!d-cw(;G~tU3->9Cz>KVuVPQr7MM=2k{
z?=O5)HG*xqK6en;V}r`5$pY><63|XuueySiEGyWlTj>4+IIxZUfCJne*BBlQpFeVP
zmm?gYeBl()9&c$a3wMKu%ePJv?e&VS4d*Lx*5zdSyKpt7-48E#Hu^A~H{l&w-QIAm
z$-91HeD`b!wMhW{?Vv>;(Vw_<>V$L<+_AA5dmYZxEvvW>n_G}QBF1+gm>;+q4d*_J
zKXVa&l@-020Po^tJ8c8sUuYRlf(`5oS?%DnB@*Yd;NYYK`-t&gk^1w>+3=emFNZDR
z<gIu0Mew^pi6Npsa2WWLQ35Z>*C!L@?OLd#U^S86Bbh{$M`_WAJ6^#(%5~=q;IC)4
zLmFY_-P;zj@YaRPBJHrM|E;(q@Xdm)r*-gNn=dh<@HiD~a09F+bfK51Z>}=tk-da9
ze)n|mhgE`VCyD*1>@lYyp06dNQ#NJrlUYeBV*Hijq#I8q+_hY<wHHn#+e#wN|I?<p
zCQ;u^g;V@ToIjswvma3(rBXz%=fF1&Wqh~s{90wke9VLUHo9N^fsc;yoX&u&50+LD
z^^1xm8}n1Rzxnjq9L#YhGddY|-E93yjCVRv$9ts0kzcP!5cSEmpFE4Pa1ia+!yjRp
zH*{T(;ar_Z&I7RbrN?@au<DyT*2MV4Wa}xBbeQLiL1F}~aiQxev3<d_;E*HmPM+)P
z1@Nt}e$7(wjz4oXPhgU~k;a4Yh4#Ct#Q7CVkC2GKJ(qs5r@%I=vD>WhF)sFDV*mA5
zQWf{X%-P{*;^EguG)I1C;``hWsqfR^U~)l^HJBlW#)vrnB?g}hZ(z!Y)UHH%u^)e)
z`3e?XzdA>hr?~plY56e!Tj5+Hzlz_(kvw>c{k{N^KkC8P;S5+aYJ!|7kK7i{r&HlO
zrny`9VBhUVlQ=k*;@788*h*zZClY>e?@s4MIQEU%@q6&on#KYrxcd&3w+}ocpU$oV
zC*Ab*x&bS5jcusH()F1V9&q*hRX1Vy?Fyf`6U@afY9Infzx|na0nXB$)MkbEKk~}8
zhX1rP3bDh_pU!->g2k`7X41nq?cAnJU`+e>XN1o+PVyPUayM7DiTcdi)0tNf7UE+c
zrGeuFzFO<R4aOc86mUfCx}`ikR#Uo<s1JwiZpX{QuEUfu|4?6^3yX{ug0GyEGbTrR
z6&FXp0Q}Q9tZNhLv(GBKXy8}wCC(&BXYD;jLk$N7k<9)^y46cNsy`VRAN)d|{RfWh
zB|E+WJAX0S{}T=(Nml<1w@=8_uESx^bp6I*+GW3^OEANU^WL>^+A*F=Vt@G1wCW99
z8t5qf0~WX=TABiPnbZ~ig6~Cb{zxL+OMZx`@B7&l$2DNVzR$18aDM9ani*Q~aAA%r
zHQdwnEm05_xIp`g0XF<LdsY~JqdB0=0iU1hI5m@w_=@aTse`cX$NBqT;Xh%_#e6XN
zP(s)TnEvacvmh)~)6murFY<HEa>9qLIa=Ss2S@L=aKopgb$4{YaudbsEO4}77I_1F
zxrmOBxZmZugKBkf{&l64y>R`WNaYgP=irhBaesf^efwV#>^H(TK-}LCw*qdZ!V2-P
z9`1oz#@i~BVJev~dv?N38-f)vFdvWDcS<;>@XG2#_=um06LEj#-gK{o!A8FE$4QZ{
zRmUS43g>0LX(aB4a<iYfKipHbok861gZl<tec`K_eB3Lr550oRO*s4Q*)8IJs+B%^
zb{&qq<?HngUd>p~b%pyY%g+$+<9A{&1uw%}3hM?V@Shg~0_WkyvIAmc@N2o%^m8!Z
z=0(9y_~IFdv@>vb@k8=%ICXECr4ih8XyIl#+;dUXLKhy_pgU6um$1e%X~L|v_8lqk
zxo7(rmEa-;|J*eArg37IEG++`i!&IG;}YsT3|mKk-Mk0q2Fd9if;AJFf8Kx<X4`c5
zVS_TEUN2Zpd$ySecK0)BzX+?U`Zn!@-9DVlae`MEnaNpTwQf&-JJ^l9h;$F^tKdy)
z4~Gcqs?xwMzwh6%B)oe{nF2n3Gt%lTOny7?4jH_)kuhij=LNj>UP(iJ$ME=(8SFWA
zp?V4a=bN+l6uf^IdDSc&&zkhz5LT~z{%aa0Iq}R%2fo*1xHbmQtj8bMgI7B#j*P-@
ze`GhR!S6?&N_`-<FN@01fWr>hc=W^0ZYf+x;iExM+!|rBJ@!LHdrYwYLSa2z{lfLM
zEc|Z|RY5h(8?7rX4+|vp%vZt=TgJuWaN)@HxnfvgQRKcPyt7>WKoPvkB}F9yYb?$Q
zWy5;~DP|7B9Zat;WWgS6)b{(~8jTAM$?$^AM^ypXtxD-hB0Ro0`kDjg8J)>^2*2UY
zPUM1@(wZisV7=65EX=UoOONpoIQ*;YDhq7*)`a^W{9M@M${slQ6B(B;Y!N7KKnI5^
z&RgAqdBY_;DB*C`B+KjYk?r{$DmeA~y#!A<sqGs-DeOL{81D?T8>W+z!!_Z&ESKN~
z+O&;jv}aH93^Cclt-U7)f5JXYeJ1B%nWhsa-{9$#2;(zwP|BLbcX-d|uxL{_!*r!!
z3O2Sq9;FXEX*>>_hC>e<?$L#7Ki<Fl0e+;#K&uA-Bp0(Cgdg{C>Z`y~lR_h1@V(Iq
zJvn%Ge|>cita+5IT^fF{v-Ei_{BQhi>mj&4Ks&M?E-angc@UNeJw{y(pFUZ%V?X?j
zqjUBpEUP#hzzvfdR88a&+q+cXWr2@#sn_Jg{lO#kOz^6%tl|?`t+=?325vk2YTr|s
zf8WP{yJ02XqDRT_eVM|)WN;q)VUJW;;M?#qQuuQZ&-YlE@6x@a%c&S&7^lxofK_R0
zynn!9{-grY@R)P#tr@s6)|2!R{PbLJ)mJ!X%kEAXtZ?>j#RqsqSzi7Dd|SD7tsjnz
z7I+Z^zwYt+*$8Wo%({ib*D_nA8sN|D{qufsNV}IrDZJM$=xHGQJgnQj1Wt)}<@*o*
zUD|)i4|X2rGP(!zd{fKyfiK@D>GXjqUoq$0fN$Sbct-4Rb>hiIFZf)p*<s>%^=ZPE
zyzobo)}j>n#_dS<{csKQqEt3a-T!wV1FTlGy+B-VZWg<bjBpZzkVh$;B+b?TGX?v9
zzwaw?znT)RK3ao6Drh)05b0|6k)yDgH62MC+~QJvY8?JDe=LwF4=>Xzbt>U=WXbP`
zU^D%nyQ<*;r%v-pxVTW7JOQ5Cwe#H^TyXn*V<OypMbU5t7E8PJ#v7)#kZIh2Pemr(
z`47&ocR5am=i%b@(3@vr^%aqq#Pj2EFIDaw9Bk#F%mD8=_*7H~4tf!<%>$#cv>*&C
z<bLcBhWQ?Rnf#rM=OJ}yO$wf@c$c{WFKcjn6ZKQVL)XM!SlU6lO%twH(6;P{Ehlg5
zpM-q{FPfCW{ecs2OyQheDUY7RepxXJ`tS^w`-22{Vd!d?5&X^gut5^srBQE8)X!|q
z&-B9K3$^Oh=ip`=hu!yKORtBKj<7%m<&NucaJjsI3w&$QT+0(?_nb~6>if8G-s897
z=ReCDiT45bmy0^r;6$&>r7Cc%9*^FCu&%D$z%e+gw7J6zW>}8y6oo|&UVG;U&)c3|
zChA9}b+(gt;Bm>ySvGjsx7Hwtu&OT&D@+qZXXpcK6-xhE!~Lk6ergm9JJS5&UWFAO
zpL;~)7m+d#ZHI>#CSr*EpR0KaTVd1G>t?s$O0l<lBH)<6pUnN?kq0qS#PjsxnDVC^
zaKCLhs~H?3cz=XA-h9JprPJ{GSbGYQ-!{yk_$cflLz712=W^KBuK>5+zCP{?Q@yG+
zkc4f6N+<5Y=~h8k#o?yTyLN%Fe$0RqH+*)s;(P>r;C;e<PWb9P*OM@Ku3Vjp30A1m
z&w2<yc}*t90Lyu?3P!@ecb^s@h1t!Ng&xDC&lz<7VSIv$`H5pJ{DA9q<1bhwr}1J6
z>>qYxW))r?3!5d%gUe$3*cbTZ-ORZR`1z(k*(5BnMR714-m`MZX9)gayzfvhtlm74
zF$mj#xaph?lS+qkb;Fk9fi6X`aHo=5C+tc?<(2~n(oc)$!xLY2xEI5-f8tE?V7se-
zONjjU#irl*!0t_qC8;nwm1LqHEE2RNL6pz*FyCl**z5|m#3Oj)Nt3Gw?6Kl|B^uVe
zb$RX*+(}dAMqK}2Ez=n;u;?9`V&eMW3Jv3OfVHVZ3NFItEBvKSa1%Ad_X}`Mdy|+Q
zENyagP76LmaypgRUqul8K~30!X@$)euH2K%PXkBJpWt?dSuBhkcEb-#CliSMM;`Gw
zznO&g$KC-WBL6{G@h9uBWAo)s8`$W}sf=0pf~bCwJ<Pv*-{dsx(mh6E1#@x8PYl3p
zszp`jU>=EGd>`PF9_1rv;3_G3?l&;Q;`>%&`^iBjn^%Nm&TE*!k2<8S^I_Gs9e;@J
zr>xmh^Wf=_=o<#`{5SdJ1i0_#{=>$wjjQnJV_5upL7pxwW+p!p39HMy1)YFv1w^?X
zz`?%1NHk#gohqEc@Ne_75lxttSKc}h=5<swSAt76^w0hWubp0zR)#OzoJjG8cZhfu
z%fLS*&L>}mRmBg5%fV%n7e=qZ%5B9v#o+@5J|mal$tmke3Ao1S;kgTNkE+8E54^v;
z#M&CJOQI>~gY&if#x3CL+PwvI@L!EzV@5EUMd>{TxJZna*AV{aD@DGWNZ&8bqXWMY
z?-`?pIpke4GzsT)e%Qo#qD^ajx)S^)_QLZmxNhauXGM5ndQx;1-t9d%Aq7W%yT0oe
zY|fx$FAi5!y8fGj<E7ot3&Y);o5RzvOl9{JKP(*iqxS>sdUe+n2V6sUvv3er`2B5`
z2|lE5o>UGCM@i1oz$(TcZ&bpfQS14XFm=A-Tnaqla6JECB96!RqA88oUj2akCM@Jn
zCl?II8T+}dz&_^!7((FmZo%b6IEdmB)lK;Kt$?LzIF$Fp6fwSf>a(op7kKGG#ixt#
zeZj=5pWvc7u1Y7E`li*|Ane7vRcH=No^D$0hJRIChg!k{+=pbl;E2m_DU9JOtFbaI
za1;B12@^QI#l5Nl*2^XtB*vEqWhW|M!p5;?rNsDh+e)iqC2Te)nkNk}Y#mc9hUND8
z1j@iaHY;xz!k%Yl{t@HZ+S}r{pTb;8(w`2)ItmhhGhj+h@;)y3{)fWt1USA`w~!bg
z?+n*!h=Iw*Z}aSg%k1CPN5D_oUu{yt<tkR>;c%@C?~Q*LpC8&gMHT=n%2^o^<MV5>
zUYh>!L#LW|>qxiZj?nOc=R<@7w%}t@B0=tOVcxyJKViShV}Uj>@B7ggzhTa*FU{7l
z#TO+BB0fO+!>>sTe$AFrzY0_ONbl5yb5%B!7GTrtcNC&<m$4K^s`3794A(vg`$vZB
z&cTbLyjl#flW)rKBHR(W5KIUE>HB$l8h*3#FK{UV^L3rO>%YS-U7uPO;ncr;$B6hv
zYM*`c0KDxv)Hx3`AJeD&0KelB(Vc`h!VGsd!$)6D{w20&nN-thga=I|yhmZxZtde`
z@U5*u@z3xUgIefwcrJiH|0CR9*c6fnhd3?;4Z~-YnmTge+b<MJ`(Uq^o$Zfdi@27G
z4{*H90CgNJ+P_Dt6JBRMOZ@<L>+7WHhDXMnPDa4JADBW~V1vb*`v1ZImI99v@to@P
z2M@eq<1g)1_3(#xEDx^2>i@hSHNwB!rFyQwhpTG#yn@#jUw2=Eg}+^%dkwe9j?rI)
zb1oM;ynsvESLw`P+wZ^Gi1^alHn+)Xc-Bfjwiy2AoNs&*&dwije-8J}567H<yC#^w
z<-#>aPB9vA#_{6jXRta)>VO*TuJK(p6BfRGct8O*tM})~BGMx-vC6}(0X1<+u;A?G
zJ_)#+)xaYK?$%bcJPglggf7IuqiS{*+;Hz~Vn#gtF(NOC6K1n}&lv^Nh$|;C!G9Uf
z{Emjho5DvK;NM0Mu7<+BHv30+!=xP4C&S^lD%W|a;1XW-HX`09{GOJF6rLb?nHdPb
z=&gOS9gp{ioM3_{yi9WL$r{{j_Sln%A3B@(U0#Ckwn%-of{)h<U!H|C4N_~Z;cHKL
zkB-2bRcl=P;mp2q#rJT@3A1&6xP_^wzX8@IWozp~yf)z5^Zu7`Hmh4^58V4Z^Jx*x
zp&daI3%`s?ewqzGyEHf)2j@sVUrB-Q3CF0rz+QT<R$^gEia|~{xIiT6ejx1SacF@R
zo}7Mu|37%5->!un{<bW_eHH#w%92OK%hS3pb6<v^u4@F$!Hvvq(+==jb=+z<OmmoF
z<}BQG=}lKJTyd=2#RBf#T576;&6X%!jbQEt`m_f4>16rJN!V3SJ@z@ADo*`V3qIy;
z?M}=WAZwYE(S)z5T$?B66A03%$tuC*_rjVAV13WsujS$NW92WC;I}3hUrWF>&CM|>
zaDagEzr(O_<<Q<(SmtlZKOvaL?CV?{Ov9R?E(qV;yYBD+UYjS?;DSY3|0)ynA!^MR
z+t}b^4tz4cFl~!zJ3ajH?Eby}#P)1PG<2|rnpBt<eAlm<W*6*iblAZgRz6?zkOJm7
ze!|iTma-RpwDlPM^T%pOoZ-!-BLka+a}A2m!}8y<23Fu)deu+|I6$@G><^gM*38!g
z7X2V+Jp%_)X;_?wpCs$2e}%tkpM0+mCm(D|AB8n{9Vs$^e<_ZA`2;u6923!owHwT)
z`r#eZ+~hj&HO~0UJ+L>&;SE_>MtPre8yqdOyI&sOx_7Lo1rBkfGmwC}p41f8z>)DY
z!cy>(`#zahFuCwD7atrVm?~2Se@|%my&sn8r+8fq3;t~TP7iDHN59U2H?m_|8R5)0
zeEtoOImM|H^Jh3F%t=z=QW<MbV*ZS9@?(u;xT)6qF$GLFF02^?$3Nlm*a<g&alZEu
zo?PW#*v5Pu9^SwA!r<zqPtE^ePuJsbLtq7}Vb$NT-jh#n{a{wEhwK}$yu!h~zHrah
zgV-fF{8HWCoAAp6>h8q+9@^tfCfDKO?ql<F@E7+26IVEkaiQ@Wyc)OTu`@j6Kdt-)
zHmpv2Y!8o(MzVf|=MMZGwu8+WLm!R6D%D3ujNr)mPVEWUo*|jX5VoLet{;Ri`N{L@
zz_H=BNkj0?{ZH++;T*3sEWPm4Pz?uVc$@nBk3P84vph!$wyXPmxdUeJX?ey3e|L|5
z)(<z-sb6G)c^A{giR160yL@RUEGVBaISxnIt>sg|2WdjAiQ^X+C>Kq|q5ksHY#f8X
ziwrMM!uKP^l?UMTKh7(|utnaZeIMat^)#|WaP+-954+*6h;-RrIIw!enK<9(L~ZYG
z_^?g$bQ`Q-JL266pUC5>BhELt;$BTN?8HKOv;qEnou~E<T<Ud}sR_Qt)I;_f)-6<z
zd<8djI+4GC8-*WTdIM*^;5l9jf8h7}@&f*J@zwEX@ZE~W*A?(~+>P*Dn9(~&t_VJ=
zR}v8q57kJ_KZl>6zt$56^LR2`$b;+8GxR=yRRj%{^I_-4PfYh=+6;;6OxWkmZRQ~O
zlC#spELf?6J;fh(ixLib1bdvQOSuJWC0p9X!lC<J1#iIA_nFNC;W1-YAvgHKu)0Jr
zd}_3G`4U_*`61l}?$f=vVhfKaZryT&*$zp2Tf?7hO5CmCmr~!oPs2|wdUb5zkIOA&
z#<2Iizp?=w8xu^f2hR$o>@$SVOS*+?!^wB`XjNb(cj*Xaxcr~Zv?{!AF4m(2k7>%-
z$-^sAt35~Hv%^}7#QeIjhM!E*u)qvkxg?ys`kMI=yen4lfi%qGR&OB!-*#HxbqKaj
zjIiW`+r<BU7KNWQW=wLyXLe=|a=_L3YE!iE!yW0NJh1=P=>s${ouoU(KKR@|VG#;A
zSM}m3D?C-K>PiNWNXwYh!4}eA-Bw~TUf{WJHxnH7g0gH0wlez?NDT{&7rdB&lb)8z
z?u99JKdz6#jJNMRC*~)PvHNUx!B;;Xwciapx|S+;!t80}W2EqzJHaZ=aQEn^3Ub(Q
zUtK^Wtm={}`3LhIyZGV)U%_6D*LQEjG2|cGs^Mz3qd}{%ont^p9;`XrFS`y`Nxa>Y
z3%7|se*Obi3w^RT9p=e78@3D!B`ukx!nZ28cg(@OiyfwMu$A`s=sbM?I9Eap9Kn@t
zjv*}7?U;>(2za~MN^%PRCSx=f22)?)DEI^q-Vq<a3-1x?3mk=29V7Vt;mwGsfA8VC
z$Z!!|IE0gR;WMnH%KTLiUU_KaK^%`IEMP_ozD2|GhdAH5ZSp5a;FK&IKjQanhnYX+
zgmZVTQvHR?>bq^Z;eZB}NaFfR{XBVo5A0N`s7hSlwfnVPbVPdPy=DgZ{TFc_68JFP
zwHqw(!^xy!QaHl4;SV?5efICC<ruur_|gmZ!`Eva9{+^>-~5my%GZ*#UBV}L>OAkO
z|8aER@mzg>9KidAj0jN@MMxnsBYT7*AreJOWF%!Ytn8INGEzoVNQz_@$(~WjjHryP
zGE?+>o!_6&$NSv#x%Zs&zW3aF&qWj#FsU#cgm-W|DIbQfFsB>U!keCZH!8xczZaP6
z;nwiZ6Poaszb9Frz^O&lFG#+)Q{8)?1*?ajlR6FWGC0x^1s^NttT2V!cln0Jz;-XM
zt69NkC*mTU;GpLUnIvE1J8O@*ka%j6z;$>Fo7o9Im{-m9UJ#t*rWeZtM=h{!^MX%q
zJQ%l?#3dPPec_1{LcL7z<4;*iZX{lw+)D%7Qm3+cz&5%Mc2mP@&eAc?u(hi<*K#bL
z&;Qz{dK13AbjNa$STFZAIbVEgcCh*e(+%CScY?>od~-(O!v`70Y+-fv#hiZFB5<nW
zGF<hGVXhZmN%1;N*2n&|TbgTxb+3p{T!Kyi+i|D?=Dk&Q@f<9BDg4k|_{?mK+<AE8
zkwW(h_`y4#BGP{5=II`Jq<lxQ)mfO9zoRM_E{InjJ_*MT9DSDwQ;5)(7{U>gp41sI
z<LkTP$Kh+)S7~D5E;_~$U06BonNBn;8=7QF`Y%0e--!_Tm8!1fF}U!%U2G71KeQ*0
zoX=K$>+YJvT64VLNW9y0*XE0GrwRMq8QAYj$mX-~Kd<6?(!Y9pCF@M#id*73q<@Po
zlIslN(u=Kp)-Yw_w45<~V6gh&E%@e?w!9wv-$heu(qGKiALJXr+b9gShQeOMzw))=
zO5TZyFgVfup1ls-P;7aXTo0b4PTH%(5)YO&5@0Jo>5-%GQJq=+ELgwd_J}g<+v+8d
z1J7>ad!PzOO#I0!fUm4tJ&=X{L_z||^=?*!)>s}^sidMO*TdCc>c*1rOhe>o1$;(r
zZ0jM|yp7(r9&Vj4W7!TDq%zjG!Cn@+ZEWy-a^&$(@B=Y?=N5zU{M<0-Gi<Bn!ny?S
zKHI@ZuK#i0jJMUn{*%8&zrg3OPM)cOsl*(glKFtUjsDqOxO4MyF|vK6=WJRIEOqtm
z(=K?R;c>bf+@wWOOy)oPbWO)@!Pdu|#K`v7-y9j=0Uv#ENMi=R?XypW4Yrp|eoN+4
zCp|Sq{zYT|6&=)nz#T1zT-IQT`S+D0u>bH$mv8Wc&+bRYVb}5#WutJ+i@u5>*mLYs
zSu@P*X|6`<8`rtIp$Sg6FMmVkN3wK58*<<;{e3&W!m25$8d<O+i$rWc-0YmA;SF0n
zDXSsz;X<zszOeuOOIp+L0X4@BPH>pqtK~Vk=Bsj<Gu-E9;YsG3gZKE#F2cWWKNKYM
z)o=G_oUPznH2N>7FrRI4t8qRBCph|=(ZUA@gN0AS_(O)HWd7_~a79=bW_eXxO6JdQ
zY@%a&u)^APB~Cc{5#!iVm{V-i_T4ZKLwlMQ+%#R3%nz>{<fN&>1>e-1_QRYNHfN5&
zU$!qUllgtg8-+9SaLb3=ZDf9bPH>e)5%#(zYA6T48fj!X1lz9^2`az?`u?rb@WZXP
zFVx{5?@qKHghP#{0ySZ`O`fZg@VTLlJ1)Q`KV(<&H|^dA#rV&V`<+JSse4keC;i_$
z;jp2Ja<T%<EPSId6n=3a*;X62eLePt++Sw23)rf`vd3IX$o=Kk{nzx!@$J*u_kJF}
za(_mb9N*8~FCQ(!rixc$4B%7O&wnQCvGw+{#GZxiwOXi;!P^3w-kyiW#i|o6V4df#
zRW`)V``?`>@j9*9EAVdzb^|v!S%PBjI{b0hEstBU=#}}4uCUEeWl#t#;ht~l19!IX
z$Pa?uBA@s8!@d?~ugUuE6$R(sF!*Nti*Mxqe7mrhP82M;@^kJ9%<OUWL?WE+ptSQb
z9AuFrRRB9q+RyAI&jSK;B+2-6{3BGm557AlvnwAqb&Tyl1~2yR=gfv{>h%lAdg<F6
z?`h@1$=`RWS;13Qp2r@;F}Z#0*6{J>#y6zAyg0+&TX4T>=IeBLAiDmKD_p)jEBXj#
zQd-?ao`;<Ft2+1qHk2tCB<q{=g6K2T;Oz|G#>w*-jeT7Y$^QRIy;n)rGv|M;|Mw6M
zr8)S8Jm2b~b6vj&M}~bX?u0qY)((*EBl(^kCC}@^^d1V4?HPAiaLvJnWq(qW;R{L8
zg5-IlnPoysEPR9i$bS?t|I9n%yRf^^K;ULrSl8rqIIQRqYDU%vGxYm1N5Z^IyrbJ-
z`gs<nAUKk)y_5}J^OkE0h7Eq(C~?C-b?X~Qep`1iZ|8xhho*c<eltitO%{YZtekz^
z;F@+lC-S_tV>w>V13sEPxlGm%e{W8Zv4;y!2|bd54PU?d_5bm6t4>e_)-B?iA^9!k
z5}Kz0dtQ*tBKf_!WWS^?9K`YXG0E?8>k>MBIKH9eygqz`+bD{xAND@H*Zdg#Dt6=&
zSwCz$F2zprL%Yg*>LM({^ni`z2lEPTwG}+`_Gt&n@6dZ$N6C8PkW_|tlHWaXB3#$t
zJvsZ2D8sQ9_JTfeZ?cc73@o)YyTK1$Uq~*JgIj+H)5pOTzkd`;zzsW|kKBc=(y0VU
z{>vVko_-8-mLA_n^55_8<(e$m_JZ*jQTVCuX03d<>)^ei{jha!AookSvo|A25OzuD
ze_RgFoEuKyfgjDJc)Wp=>BjZ>;CLaWjdk!j4K6)SSX92Sryeet=cC&VZ=Nwc*ABb&
zy`tO%zZXyW(gi<JDX5@^rKnV_Kf`B@Dax0l@cj1^E$av@v}@JnH$1oSENK$94dZnF
z30v%7xHbj9Ims+MPn?s#NZxP!T{$K&3cFibJzRl5avmQ23Ja)i-v1xom$Vz`ei?up
zd(GF$dg~4~p;N;!GiNR>D||Lw#-InTJH9@&4fZtI%g_g3D9E(h4VS7)uO-1r+Bs~(
zaAqt`aWd?@ZuEe>ACf#Y@xl)lvhLxMgXxs>?E>I)vO$l?`=@=KVVADMjcrZ(n(%_G
zF8571e#-5WE`0MRC#N;cI`Z6)yblw2)!StQduUytHHFn&%08Zlsl9FtnZZql|Lrt~
zXO(MAPQmFywcB*zmbzgo6L{n|tEmpz-s6C`9$es>U?2?dIw{t38s@vboFoJv*K<8d
zeqVz!HkJjZ%GK>Ogeh3|>uiH-MCi_t->Z%5I!Xm^EbFHt?;9C5SZ$<+Wr7ky$@|EO
zOsNh3BJuuallz6s@CN4U(hZ1*9+e(*hCfPhzZ^$g>Ql3gE8JB0;P-b}mz81k8Z1+5
zz5E#-J33tA1gAw#Dh$FIy4(_WFkXTkZiSP&N<NeKm*Vf}y_;dH_9bI0SoA=zXEj{E
z=e3A6Tq|r>Qw1x0U&$ixBRLaf-j%}VbxUuP_n})x+Gt8(ufc^C(jIPG94NEk^cJjo
zhMU~l-(<u0Cxivb`_YcPYcE{ktYv`%<bCeFZxy!gFvF{b{F|_en3UCJc*}bMGk2J)
z#&h=-xT1S;#19r}n55hWhjn=|CK78lX|s@cdQM0r9KoY6m=S^XUEL!R<oz<Erj=tl
zEE@k`UK%`Ro@MO=^U9}f%!1#Qx8!-jmKx<Asj$grv)r5TwI84K(_#A;f%Dhl`pTcp
z<oCj!X3to`FZp-fxDN*^4oF$T-LsN&vG9&b2MJTSJYTK$F04@Z*zFAb_sAKgaM;JS
z?Yb8H^qcKO6zrwO_~s~Ff93YYU|3c=vrHL|J?<rQ2R1r4`JWQpnG#dr16yA5`F98o
zx*HKh+9Tmzi-r_Dm!I|@X|MGrt0Tg2#M^{!4_M_|QK%5i{Ul4z1-?Ew8OQ;j`VzcK
z+WXeEBW>*P@aqH@(jU5AL(R;v$GG<~@_yYYUy+3gmWzm}ChxNow+}GUz^xrliDWz_
z%PAXgf~!@$wpzeTUhMia;kaMpV2&o^r^!Btb`CZWqGluGlSV~_dK`A-?f*gQKP}u|
zIRPg=>2P#|Gg5z+^}@ciS2=FO>EGR)`(e9Jm(l~_r~XuqA7N1y(Ho?_SenBGy5N_7
z`~Q;moNT|#R||JGym%A`4?D6A*1=m(<p@21w=;URr@*$uat4p#D~}m>Jb*(46<bL>
zU*#540IWMMqMZT1zr4-Z4^BQQQhN{19;Y;Lh6kK3I;6mlH$1)P2;cf}ew_68=rnJl
zEzIt?@HzqhaN_-tHM~1{?hqNDR6*5!r{N2Ww8JrQeb-GMBe;&0@(k(kdhU6y6R=Zz
zh)5W0Uy^Hm96nm+n??FtFZYp!JpAm0w|)>@E@qP>3(pAOY$olMGj!pRAnev+;o=K-
zpA??n4@;$=o+0Opg|dC)JK*of#1cH=UXH&9*<b-yKIZH2TN9`K|H80--~U(y>5rp2
z2G`c$euu*}<b3kbT;M`0d`FLYBia5`ggE<q*z6*IZ~!cN@Zt7)*eTiCl<Z%oX?9x!
zT+ZV;LXQ7+Axq0!V$SlSXt?hMmwXLe^YZ(<hwyF=pTn==#3MWjnefpADeTqog7U5B
zb+F^P+3n@9{nnR$4X~Rz|8o)#kl)EO5AQ6zm`mabyr-5H;I^-xoRzSXgXhLgWW9`b
z0edm5IrXZW8fKNO=qQ0HjhalEU`PGwwiob|yZ=PV`kE1$<-h{?t21lyPFVeAoO=vB
zu&IWc2mW?GsX7Xt?R@IP4$n!_mfwO+<u<O9^*kasc2eAgPYaIS+z$J3Sgu`yt;*=Q
zNqtP(x7Dp++0^MIW>_V+LFp7cF7r=i8@!|GN00%W$TD0`5Bm#l4bX-^&3uX60_#M}
zwjP7^<Em)M@qNh;sXq)STNmfk!eg7t8D(Hvin~H&eNfRT9o>GIYWUViN_d`M{Ukqp
z#nDjbFWSpKq5Rku_>~B4BPoB-VPgzEZ2aYm>Tkqpgf*|f4#jxx><T8|JGl?{AE<!o
z9H|(|`lL0zJ$q7Mfz7pM95B_^?4DFO`QGv<FFadR+u{W$8n}uJ!TJHp{ywmGS6+z(
z+)|=&+YzoB>oJ#x?S=}ZoZ+GZ#_vk-qjOKiFT*j;sii9L2EW~t_V8Fiw~`iYR?0kP
z3G+)`WH}By^!uh<f(OR$B^kow4cC&-!Hx&`u8{As3ZLrHS-@tTajw?zqZ}#fGw|Z#
zP90lV>;2XHB!2X~=oDFRSwR0F)eb&w{%A)G%<?&Qivw)CnQ1Rs{~1zU$9w~Rt>dMi
z4tHN^_I8C$-hVeMfY1J+`2X>KG1R;B0*;n?m=lONujY5oCiolE*JlyLa>tI5^@}`@
zEdC_IYk#a9{=hV2bSqKtMM@ggHP}~*F(L^T;GP{O>jxv_Gwwvgee%(TWWBL-zI%Q=
ztTn=}N!B|b^rXlm^;g@L?No;oxs-Orz-wCD_8Gywf8Ma)f!%Cgu9EfF-oq=w;jog^
z7HV5qveh9V0It}Z(`N_MFJvtQ!;HpMWA5;tpWA+V!y)M@Wu7qC8Qt^#u=C&FbrG<S
z^-EI^c(gz2UKD(P>r^ut4_C~m9;d@HqM8ji;f_vkw+z@~mzT6V{KtDBun^|g?vNnk
zK|9RhOcBf!Hr7buRVVa+55u~j_SXGB?l9Ui0)H){nZAX%<t<zDzi{Ja*@<g#(#BQs
zb$IE&{xm0;qL#mud_OR6PyK-OuK`nG82LWr#)ij+WPIsre%VUCKMCH`sz=6GxxwY{
z<ok&;1-3L~d};klv?t$Bc!Y#flJV8h!lg{UpG#!pe{Bv=PU+N<?<F$t58US><qxl1
zkc7ik%)jk|4?9=)3&Dq2+pD_n;Qlx(<Cr{r|Il^1PWU*Db+rT>P<v-48J_Yg4I$sx
zeAuBaeGjI8euF{=9w^oj@`X3CHFzk%%nw;yykT`4-zD;ULmAIB_ro%+w$#Vq8k5W@
ze)!V;oj#;Ko+=HG^$<KSJz$ec;`5CP5*tW)|MI;j;cl8S{&B=ZDR@#&!-;P@2PfeD
zw{G&ChmYj)6(+%bv^UM2;C;8wt|gHAj<WZX?}b=PRu+O_)BkjCUxD3SWE2D866xt>
z^8H@yjc%zMaNP2i2R5(^FPE1KEWP*Hc2fV~*qa-caO~9U@{6!k0OMN=IEdLq>MYDc
z|GfAlY%^@scaD@#qWw=Fe)V_GzzF^w+4uJ-{Pm{|zcFlVEvumkPxk(orVEE&U{F<p
zyS}?P>BFwRPN52L^ga5iqi~(KW{?ytSLs%v1uOi>Z<l}z6`5sJ;q2+)79p6+-Hq-D
zoRPk=O%OJ$WAvAUC9*o0d0_vYE=Ht(avo`%<%Ye)Xxd5tTzIkP^bYvO1M7!}VBO{9
zwC%8@_bP`7*?yDj{Vni3#i^NtaCH32H+tB!;JY>XzUp!Ir!SN+{Rw$l@_p46KT{zJ
z_*_HFOK!OAp2EIA!N_0tU4cCC*EjXoe#1jmx&PSV%e^`FKVg>el@2nV=hbD4W?`z-
zK<)p3k2A6{ZwNl1&ooEA=Sf#eULJ%i&)l~q-{b7B@}BR43sw5$nBcrOU$Z~Kr|EUy
zk?(y*7i%89hofJH#F6j2w$JdJcEBFL)_3y4iv#}|H^NIMho<@9_Vx=~nqgjsTxVg}
z@P;&9HQX;btWJ)<-Rkb!8d%TNs6`rHsIq$f8df<HlyVr(kmVA13paAOJSF{g^YM4S
z5_nJIL(k*ziL<HE<*-#^<Q+4(s@p95CCr^&ZfXwyUMo?11xH^IAGL-ZD+S~p!6tva
zf-b{ia$Y|l!^db=7+m02d?VxW#50EqZo)qn#8MOCJhc}x-tg>+!Fy3~qkR*dFPtCj
zMjZ#Mr@di|h4=j8qzHqbm~~CW!LpP^uaZdlj-*|^@cx*?`O$C~XW?ugyk$+bll<Ph
z?K}Mz;LcyA?<3%)M)6ZiFk|&)`53tG@E!~50Nn3z{8hdO%YWV!MFszUbs{K}l$Wk4
zl7Yh=vwZKvqhX`LvhdYe4bu$x{m+7jrm%9ypYu=QMeV5eGq8SeCTl6o<i4FU73RMD
zfiWMRf2Y))2Fu;8tFD06QVMCm!7NE#6-6+!%W(g9Sn1>G>!d$|Bu`k(!mq+ETzdhl
zH{Fo@2{XU@!e0O%`1iH!H_RjUeNPVDV@MbN2hO@+*+ce6cKsF$Wgz-9@Zv|ZzpX6E
z->Be%tv}kI!>Ke6VpQP5^|t0GWcyEVE!E(iV$P=I_xQ_)C>`LRq3IXM{#>jp7Pp80
z#7@dp!U8nsk4M0gKlZBB!%v=xx`n|;Q<cjNu<~l+hP&{MqicWL;mIOPky!X*-2Imy
zVDtCQg~_n>Vt+{=ER_*6k_5*-Y#Si?lrLI+{Ut1F%r-Ix&pP>K<ii53i^KEq3qfhU
zX_(tPw*Lpbx7dSc7T$UNXv{S1H267d8UB)fGl=Bl?F;5Qf8bve{EDRhruKIqDS~i)
zb?6o*``_Sdtwjq<?H0dT3!e@DuVw>$WoYoyGnjsZm+U6kUr^%(Y2U^}+Y8rFACJIH
zYAh_`Y%fUaGhn<pLB^v%>xRr##M`u~dtKop9}n&%_3da4=D7t&>Q%*({cGuZL2nG#
zM_2c+!$<F_8X3V7=k!l4!A_U^)D_{crF)yn{?j$zij;@nXTLZy4{K;dxpKl4)UsjZ
z_jXMvR_}x<HLIw8!Pk1Vo~;I9{TuBjo!@YHCGGMG{4O!1ZVoo|4*Na~Kks@kM}9Bv
zKV#7$SUy<q6=~mVy1jy*V3t(cAkw}!IC5ON;M!dw8^++yq-W<|!E|R-G-u$=!fmX@
z@PtrpE2(exOV)ZkOyi)$N{%mOHvZ^c_@#D9_#*tic0t+`ZhLZRBRRezhglzYI5c~}
zo$P;;gQbTvyqo)?&H|ja>yr3&*!kD=$G`C6H?@6M@WW$sH%R+F`K~m033jveSfhd8
zTN%ILhimyJg4tk!I+;uRVGVD0MsB!3VeHHfcqaH@0WTagTg9{!9ym}fa{zW>WZAqG
zrvA=GCj!fq|9Hy+o2@^MIs}_WNtbVit8T1akb(b7ZE<9P-6>+mm0@%ICwD4%yWDW8
zDts^fUpEb0Ge}!+02j+BbZmelvQ8zQf-OH({37LFG_xGI3a7TtPOSyvdDWWP+BG<q
z=lT{3#G{otqVK>pK1nox5YOwqXb}br%3iDZ3yYjt8IOZa-sToe!L5t8LlfZxCWC(`
zVcpho$|%^T<L}Z4+_G<PcQm~3mAJ|mxT-l^Hv}${FqG?sFDcY=hr(wqA_G3b9nTKj
z^M%#M3cTLK_Yaw0_J?cF&o{QhzRtB@-C>q4`HDAiND60=7ra?Dkmfb~=cD(An{e6f
z_P<ZzWQw|nZZP){k7f>>Dz=}~34S>rB^3j|7<Pyx<@e6bdPTvPCE936`_#G0xOl_C
zs$)5%{C(TBiresP_z^xkc=zjx0tdJ(UAyiIY?yjx%^vRh_E^aZ=DO{@Yzg~&WH4F7
zw7E+v7h%QlwUBeL`}HtEH8{4ux|Nil%A_7X0xNI2V(0*?+pBa+!r3~9mmFc;siKfW
zuvh1(2RR<|b4xdO!+g8lX36pU^n||Sg!?#JZOHLx$JW1~gdYgY_j|w&$AdX&$o7r*
z#>3(D)aY#+;F{%&rIGM^%5SIW;Ep!;FYjRS$3M?*h2La9W2%DBa4qfI3y+p>?AslT
z=l60|dv?Lw|Mcc?!+)}imU-dnT#s5+Sk&9`CkO1rZxDY3PJJ`Wyazt;MqBV4?78${
zGdsNZ0rwws*v0DbMpC~=c|mqEoZOO0BMe(J_4Fjcqgn5qMd3T<d%owuO8Cq6GVtwX
z<!#yU&XQ<7C3v=_`Cv2L`G;9c8cy(kzM&OPcT#&LOSV6=!0;K4sVd78hu>#*eI9~K
zWdh%m^38W&JN<@lPs}wOgrha?tNnq`=Z4%CgO{HwHc^CN{>nUiQvklm!I4Y_n+fe6
zJpeaeJ)gB54o-F(;Df6iWnFi`SAQ|Z@WXG<5B}qZnU7Q0Ed`)GGqb)5!HLHMxK`jE
zA-&6z@afgI9dqz)Wk&f!@ZI?nZ9n08x#D+<@RL)q^%F23qjRh>T+kmSJ`F#OtWML1
zBaXHReS?)3Jsb^SgRWy=zQcxYdsoiF&P!f>pW!Ph{S9XDfcu}wVVEM(U-uF$r+*-%
z2TpX8=C*;A-ak_8gY(CSA76v}jXR`2z||p9H=SUG@v4ViaKh}UzaM<f<7;v&yv`GS
zDgfRkaCBcctf)M+^c-$%GU9H7BYnc^^WiJ&?N3QO#i`3?02X=HoJr!Jt9%cChLvng
zML)rR1MB)|?%;TN)db$d;$NMg(!nA>b>hhWL?~62aKLFrLg7s?^+EfPU9f+t)C$?3
zvBJ`L5qKn+?q@BWe#pXF6do{$cw7&=Dbmi!z!aa%QY+!`+j$kT@FewkWevR4m2uJ#
z9-qu9c@6V=X!07tmEi@vZ{d8OyQ0?cRX2Oi5}2v%(0{ftLl12hiC0_Sd>9K)re3He
z?S1k_qj?zY`>~O62)_P@zt<0TrP{$Z2Cr~B(fGm>?k`)$;cwOWKPj-8O6my7-zmX9
z&Hz~3STk`W{A}q~MmQX87@tb=xr@EvLnypbtageXK3<?}5(hVw$C<LigFpO&W8i|z
znp?NSwEEnP$uRZJd+g-=LY1zom;~Q+KKY&t?*A}ZlMdfsS{)?$@!uUe-V``xqCA%5
zhi_qL_G8%M0(0_V_z}laPbT~)?USAy{C;bM`7>CI`=Bv7|LH~LL_CEpb5|MEVNOGp
zZG|w6gyA+Fcy-M9NC7;sd2jOx_|mPJrZU(dps)8FEMCkgPz--EEQ~x43oB<luY@ZS
z>{715m%R%ZUc-xKI)+a0kN=Lu)xb8dvd_A~q0f#~zk^pi-RnJJlS#|=kMO&|!L|Tc
zq{sYU2fRO|#XktX89Niu2OD-@^7MksTo;T6V7m?j2_N`fw%_1aSWD!MYzS;M>p?#X
zU)>$Gm0Vxa9u@FYg<`zty_YV5X9d-m|03S`v2VH*b`EGxphTR~BXM&deA#=i!5ZRz
zQ!lIf;c>y7Ub4OE1W)5AY?XSQhLrDktmgF%KC%6G1U+1rQy4f6|4plWLkFi>Y@DBi
zH5;m%IN&li*VPsHN1Xp}c35cZ;}@$Wu1@961Dmw%F4>6rz}Ed$dE9XCHhl+5xGPgx
zN&w#8+kBlKu6nS1aUcBj3dMmf@Ywh3lLz5>X>W<`@bcn5b`f~fzqjvp!!MrPEj5Nq
zZ=Gl&^QSI%rEw$pyF`LFnLqIlmpYiksfGN(qOft(xd&!&yiLu51bnnbFUJ9PzGw1R
z4pv;5?XicoV)F_V;GVnI=GS4K7WFc9xck$85zg?jt!dXZ;YyWTtR67?$-}pF;p!v?
zH8(i%TcU_Qy!_s`(HAy7AbH3H{-eOM;tfkPBu$-xU6q4whrmA9C^wV&q;1=M8B+e>
z1J^1Kn4g=W@(%o)nzhj%W_Jym4u(Bb=?(?M8K<mPlVICn8xe2V=FwDhGTi&(T(Tcb
z`>d%a7v8n{GM3ce7pa?*2Xj6X)*|!S$({<)Vt63SQ<cnD&$}saEQQT89iHEUHz#m0
zHo+!Yuby0ky_-{po8hjx1LvGz&eSc|ov{292O~RJB<7AxH(WD5N^cKW_pMfZhU4_P
zsVrfaFz2XYm?tc@oXm&+9s9a{0ycWm^wJDgFEbgRgh%`2?9AcDsV0Yc_-57>i_>r>
zhl27Vyw*9egS014bza>XJYi?{p9)N+H7iRIhUW)z)y1l?5aY$F&G1iF!8Ad*<%EwE
zGh7-HXmkLM6k9H5hrREXYjDDXsu|~Y!H<o%uI+*)9Cm)&3n%#=o+k5U#`fYM0hl)K
zP6i`vrY^cg92OkNi2aB0esQJZg%sQ&hyUk{_^%=vX+_v;cui~qaqauRa@640qe|nG
zu=y<qvEy*7&9BslFw=(mP*eE3WyeGs{Nb4zl_6~H{i>JbJ74C7C#PY`gYP5Be6ua(
zyYP89a#wlK9avRoZv6rrTJu364F2@`dVn2lVO1*S4~GkQ7}>)`l<$9#^AY`)je{<5
z=jj)t<b3s8hAQs{>^@taM9xPxF`<%PaQ{MT^i4R-J(S7^Zu8IAbcM%{Z4C>7FUtoj
zIl@Xmx0r>(nKcQE<op;W89y2edx+Rh+rcdNA`9=rzw&Nmkom37NjA9@c)dwA*%DsA
z&Oo0A=c%30zXS_p+>ObCCz-b$Bj;y|fZ&TcaEtHmf95dzKIX{+Sb}1B=`_5fenWX7
ztYSZwYXa~29HR0DexH(&sShj3-`H9SQ*6jSV*np+_?K7@zx--`QX6*uI&RwtpOv+#
zAlC<mpuaczU}gU8MH+Cp)TrhFoV%0V{wOSZ{7Tzb_)$sKMP<0YL@)I_oFQ5Jo?MU0
zu36<S!-c(;_2haLdR4>oH>`NU%2NUEXX>EX7>@IQ$v+n<xTH0&lL8)<UKb?u$N#<_
zK1&b(#vK*8K8~GZJ+K81D2eP5g}EnF3%0`v&Rp&LVJ6<2emmfuqwIl#ure<N-5%KQ
z@td>cdVYGx`Yu8E@r5VMWIn(7b9kmWT)nWD_AllG+Oj9EOTuMO7%JD`UoM~j$it0O
zfklfjS7dUFA{?1uZ@&z`Q9NLv2`7%6JWJ*muX~agv|udHte=F(>?;2=g_+)aR*b+O
zDx5x;!5kONT)x7pt&}F0;EF3%mj__Rp+W&0SeWnjCo+Gj2<$!N3foKfwvqXok6;kB
zJ6wOZ$iEjZuV#<%gS)xuJv!i1duz@Gz`gQgVjtlUiPPW0VMcM=O;6#GpN=c>aEwEm
zUN$UW+2<GmAHLvqC>rKs@*j<bpYte8#lQ;{yX@}6;lAFZcVOBBnX)Nx>)jH{D0rir
zV_Pwtt2g^62%bK^lu`<}47Qmkz<-nV&uof7KF*97MZ!F-y@E9G#IGEB@_T)}j`>V5
zm;Q&Jw_y5b^E}(({KcpzZtysFc=m4iEpI}K6C9Yf$&DLMsx&Zkfz3kFHVD99`wdhr
zVVmjT^aJp@YPuCG_$U|OeknLUpK{g=ent_yatQv&eC^By*z{K;)lnF$TJ%j|3!6jT
z$KZt9+o;dNVtYTBo`hNW{#!o@*BHwQ8^VUBySR*D>W(c{SK#`yf4Awus&+S`uflt=
zD#ZYPH1I6N8_vBwVkHM(W$$1NgqyEKa45i1Zyn+zV5QuBw8HRq?%mQca8dPj7g6|G
z+Swx+@Sk{@%lqNZ?mX5<@b1f>xdq|W0iEP$@G+*XR9oSv&SLa0;TXTXG8Wh;{zFVT
zoO`(;<&Qt+bDv`=s^A6BvxaN%rrpwa8sYAk0+ngl;@~5}R(NSvX?X^gD>;_m1*@L<
zHvJu*b8`3j1n<wgmN5?3T;rx0hFw&jNA<vmv|O`B;jLdJHTqzhXs&}(FvI3H`48~x
z=NkW};d5#Fzdpj@m!|`k;86E(<ITjH%tkBlu|tyv?_oJD^NX~RSiiFUx>h}Wv)Ef=
zGo0t)$K3`?BypS&hG&jb3wFa>29`X9NcrrTp-=FhkI9shFu&i9i6K}`$VpNhel3!n
z@&&e--BvCOKVuflnt<C)$0lW9W%_!vAMna_h@%SZv!Z7`4`*L9N>_rzL_$6+!CTuB
z^YmcN_8kN3@P-)k&nMu3%am&rX#Wqr3Qjh#RITkiY5zabuBvu0pK-yte{jp;5?y!L
zxoFF&Wmw(sCzmH2;bHW46*fLCDjWfyP5qNQ2{SJxwMN5IDfcX<;J2=_hWFr~TgHsP
z!n3QkeD~ptl>S>tf4!QgdzuN$dmH|2g`MpDIC9`SEaQ(!`x<)lKP-Tsgj|fRgwIe}
zsusb_)<2I{!TOdojTP|WBZibAa96&iYcqV6p{eu^{Kj+3hEDj=UW*tzxFT*!sUOZ9
zYSOfa!}XKuM#=W?s3c9{o9>R6#^BLfn+Y>m$%kut7QVCHd*~GWMsw4fpRgIzm$=h#
z;=4k%Rk)0K{*Erps*%X@7d{_Xuy_)ts$b-0h{F5Cr1BqHutk6O+!ol1b6~R`ytiY-
ze?Khl+VkI0SV!xfp&-2Z?1fJ!U|wqXtH)sj3!PRCctfd)(h1mHi&ciycR29XadX)2
z)UvQDJlPP<c>&&Z^-ZEW{P^9pfD>HhnGm4>3&z*~c7|v4f2%3MMLpNOJzx*v^n(ZC
zD<iwPz2O$EwXdS^CWp4i!ElaBLOVBnq}oO!45rJP4&Z_N6WCkh;KOCEj$7dvnMd}C
zaJ+33KP!CD==6LVoUea}lOAsP#8&+f9$xC{V1V82nvOk%O(J9Kso>99LF~_9L&0GW
zYB=YGY}zY$pYvU(e|~sg^>pECF+5H&yzf86OZR6jRl<yGk-L5)o<4l8t_qIw>-n$>
zXMEVI(*#os`!)Q6)ivulTVR#!M$ZM<D$gyW6Q-cJ>O2Kk4GB7T!*eb#_s_tq<wL(e
z!@qAE?EVfj<%Bg3!^3mE!4vS@^iuavm~;Kw?Jsbmefr~hSh~&EU>tt>!KG?jH1flr
z_Si6-9kM%`4HlYVP$a*nMNOk@0E;f99VPp-?r(feAC8FCdbtdLYA^G&fY~HoWX;0A
zS1;>W!eK+t8%X)@d%V7Q!k(Qp6{J4D7b5vyFbzlH{y8`{F{&a87TQ0#_8#U7Ik1)h
zpS>gTvI8zx9QI3t-+lfUQwqN=&HeQVe$cOUv>etAvvAFWl|oCzpTcwHzB>xw&F#O&
za^bK~hf~Yok4a`9?!%V)+KLtM*HaDhY4E1k<=XGzw?F2^65;qYC5{f*o@xJB5?py}
zCA}BkVsv648m_wG>evr2U-gcTg|}LZuZ+THtkMHR;eb6a>c7EmE*)~=Fm;gai5YmE
zgPPwHK5cep`X^lFB-Vc${<3+S%PKs?r_p``F5DNa_7|?Z<`8fTw%1l`qKv`&vFOmN
zHt>b7yKQM;?!9?@cJOZf{#hoN_WYYIXW({;tO!<kaNk1{W7vjklA0dQ$*Ex54?ns;
zF}fWdX|HY(fXANX+Ht|Yf|XT!;6<B-!+T&eb-55pm@`R((hDB-r@wswwl$6Y=nb>x
zsy`5e3+X;u--C6P=we8HgJQd-@56hA#Qu`<e;OYgc?J(wPR;Sb0zThap2N9)ThEgH
z@z%Js=PlfJtyY&C&I!+*tAazzCQEr?b?*b~A7ILpad{lD-RWzso$$k^k{w*I_RYDz
zZ?O4A69zWe^0QdZ82sAG?%fVpL-LpC99;5@s+bA(J}tW87woUNcMmJPFEXEjA{O)6
zpyF-xu)gZ_03|G<+3m#$>pXFo+y+}ko4ZiM=95oK*<jw{D+09e#}ON4ZrJO^&t3n)
zOJ7nLdEl<5wGSKNXS(O(1z`hckNQ<#v=3dZ)dBdhZ=lCt_|vrElq6gnanouF4yt*6
zM+ROTb>BGyN6tAhtHAQK<`kddV#dnnN8q=aW+g*#lfT~~9k`nz`EEUY-lI3;B&?|t
zrPT-@-I6AF7H;Te=FBF3K5)qb_B0o=egYe`Z5=j&(@Q3F6JX8p?YGU~PzCzryRgoG
z+RKJ;c&2@1I9$J7qs|CE?H1P;3P-NpQaS<eoL*}4gWdLB-J%D-Vd2~93sVoI1!=<S
zF~M8h;0rrrjE=$OwB;tZ;Ntu5-YdiOaeGc&gZ*doQdD84`k1fw@KG^_XffDz^S>TT
zc&KLHTmqiuyM6Tntn}@~Nz&eqymJ>#;D@CL_wd2uyq>G4;HM=)EG%$K|H6z8Jl<+C
z!V2eCMFwcW51tlxlK!`lWN=f3-~1PzK?U<Qp08DgMH!1Y*Dzl4HHS-O;1SorAM0>=
zVXU4MO!c8_a2mciy+d6Xe&U&yI}4}O-ii`}&o<QUCFAjGZh$KXye@j8dJ?|mH&eq7
z|GDlYKLRI;-6&;-H%c7b{1v7*`AW$IPpY5v?}t4e`8SXGVE%vYZ8(V=bZ=t&4i{`3
z+B5)HK8apvh28baoW8&T0o=+h@Gsi#A3bowG{3-WShwkKFe$&OslufUR=vG_BgrSR
zO?75Du)d5?>L*zB%cblr`2Ba)9q-{O*K6*<@a9?RlijfJi#_#$@ZO)=&8@J4Npko(
zxbeSpA4!}(>3pv#Ea89UcpLm--Q?YIm_dPeq60pxuz!m-iI<65G{X0I9{do8Pw{ZK
zlJfg{t5YT6OI+Iw$^P7yI2?BXc8W6N>4onMnjIB^12!6DljBVtYnA7RSq>)N9EF2w
zSRV<%?J0f%3-Hu?_oO}Wku!A$OEBY!u~(!#x6G4qM)bE-u1d~sxck(25i>mg{zV-x
ze8sduTL{kaUN7T-FAq@f6o#iQkMVNBmS=wLQ-lk)N3gNMhiwloDZxBC1<gBPh8aH3
zqp(BX&q^j(ujHJz7A)4o;<6PMC@}m$^7Y@ijtw2$B^{bZ@{MVe11CLP`q*b5$;X<n
zU6g;l$^HJ<>hthTjk%IFSg@gA%NA}dcn~rO*Ec%(U4u(D$8`0>t2H<OTEk+U0-Emd
z-NEckPdN6UcC0I$6_dH^I_$T_I>-^u(+&S|13q;p;^S3V;$xtt1AOuE(|T)oIMYs?
z)Su$i!*U7kUb1*f>Nlnpo6~_GUYKXS0{i;e$sdQ~`p3g9VfBVgK6zNtBv`-(4w<{y
zqX1V0#JwQ(F_ez@Q^7yN>h;L}B^fJpP{6eJUNySF(~qvDk9y&H+o89?10K+#KJ^Vw
zX1WyQ5ASPcROo^es_ydy!_Qu(&2_`V$6jVf!L0}4TPone?Y3Lv;o<CE-f!Xir9Me1
zaK7#Dvsp0XzHJ*bVL|tsj5+Y!*MlLsaJ$dpAJOo{&$OTU@SS~mDY5Wy)0<mm@c!#Y
zZtn2joAh5Q;q|;KVNZDfWg(je*zV=cZCBv*SIZk);8UW54GwVfPqsUqFw>k-rV$*?
zC-SQo?%we7v@smyuID-eZ`1YC)`MU4KGOIKPwV%t>%$?B8d|4dqg<=+DlluMjm;cP
z^Q$yT4gT~YY<2}cxb7M*2a891dc6vdO0_5}!2R3*s!_z@ecsPNNhx?TOpTceR_FLM
zb_jO4W0S}Ldj^K}i@>twxmJuY&%?e5QTU1QhbcCA@bw+v{qSyfmNItOsi|8^5O&yb
zScM19j`I=VfukSa*un?*O0q@mg+Fen=9Ge^{+0Ocf-@x7Cl0|)(Ho_?;N&NKj!JOc
z=2Ss8m@(c|Q3Zbb>R|Lv_$hVH@sqIU!D|1laJ}CUyCJ-+K_|ls+xTuuH--0KOBAAq
zxl3gn&cSoMd@+nLhiZ_=Rd};bb^tYebyM*%M_6xST80*Gi2B^_3csnka^OGs1>@!v
zclh7!g&0b*{fjfXVX(~U%YlDyBfnnzyGFpx4-Tb~@}Xb<Y{`Pf>(XL>Bc7zsH;@gh
zW?y}_4!307bF7A+?`ch2f-gH(Db~U_x=vHC!u~u=I^D39PVVYYILlLVXAc|`P*=YK
z(^j`1T7}~u(3Q`@uk{xw{=#fVUpp6JeqNiTZFh10dc)B$4V!MgbBPUB;MBOg01G|l
z@jDEcIPZE$_P@n$?Ughf(o{{e0sF7kr(SauRvk{;Mgt2D?_Ab^{e)K=Nc&V5E8NzF
zbM$+=nBnyfhI}1(*PL_+3+#C7po|fm$HN}a0snoxYG()=Z}mJz`ujL1$1hV@*WkPn
z84o<>U--_#GI5Qx`(T}n4Y?QL$kDv*2VvXQs?QhTitD?Y$oRX=Fl=Q9JAS16Bm=kK
zx}RtR|0ue3M;1;$Q_AHCFY;I<sKQ74uARIJZxJzCSBGy7J~{6Vs~D?qJ^?GFn8e<O
z_Z-u7BKg(l8=f8sdx^<=nZQN<hdaaJD^?ad=V6b;q`BvC@SAhWBwrOr=icPQF?r+j
zq`Xi&jd~d@^lIoksn4#<bn9z)Ai?^c0c<aQJ*ftsJ#G@N4f8J7UaEtI6D}=~{W-3=
z?D7fDH$Bv+2p?{YWbB8fSWCi{;h;O&@uP53XOcHL{utM}i{Id<p6rt3_!pkj{g{TY
zPc8C`!?q?TN@ii^Am=^_c%0H!X$4lu)M^!i-`Ql-ufnwF)FerJPiPPA+#HYma%J8}
z`s1j=u5o(!Nn%(Z$@h5|nXB92D;B3(x#2u+XL&YQZtpQkK3JMFM{7SUJWaEY6LvT?
z!X^l>cKrz_`7PkZ&Mya3+%NDZ`Q4+gJ1-9>eGrsnhugR>yQ#y28Uy@fe0@lNps5L;
zk!cDi`MoyUb;_8O&vEi5`F-^l74I2%uF8Cj<afV?qS$44yZFCelHbMam)Gs#&t5L!
zWc+UN3=X&s?@ig_P4ZRjW5LOrB>raUJIU|;rc>vG;kn+RUXmYAl~_gYz<p0w!$|%f
z(-M0X1OK~@zmy4Y9zW$92lF3Z7AN`HY3)q=05-|@+)MJawKA?d1un9h>LK}DR9Im4
z1WsX^e)9zudONwC16NTQIgY|cYqVZ3VJDgPi~Vr(3-05u;L_dFY=bc8Mdgog;LHD>
z(sscm?FMO;@cVA2H{I~T73X~o@J#XD%a39GYYB@V;HwmxC7H0Hk&{Cc%*Zn8;}1`i
zOFry?cfQMP^Mz}cH*++?QargARN>cdwLYI<?&YvNWjN{W-PJaDdPF@|6qfd3k0bRP
zmK_`xf#s{m=t=!!4&fj8VY;Uedz;|{i5^^gVe!{jPgcXMrUT5oVCs^+T(z*+r}lFk
zuyNwggx9c3j<`Mxd?@RoWd(fU=7AJuIPdh8LDC+SXQHBL;dpoUoMQO(t;j)YSZ#HL
z=Q&($xA^{_C$3-OcV=I}iv7Pi*Wqp6CvCFe=K~iQm*8D33zDS$$5Jkv;u-H-(TVbB
z>99AKqRLm;GU}JcBbf55Uc?C8kX>APAJ$XhbN&GHY7Q8u!8>V`-?qaOrl}nX@T<j~
zf(BUZrC>@Dyl+d(zdHDE;?(wN_?&g-*CP0z!Qyi=erSB##9qNJQm^)h!99vOA3TU>
zS}GIa=C)ZbclcyppiC4TMbEix0VgutdvF(iY}cG^3Gb{M;UnXXVvB!-A*|pR^oATy
z%2Qz#BiO~S;|Mw4WBq;-Ct%^o-ORZ#gRRhaUHA;8ZDJwJt?ALD30E{0SQf#q8IE(u
z;arE9)%UPX+pCcyuzGA?9T`6sZ}V1<!Sa@+ra$0KGT*0EV2bg7`={Zw$`MLZAIG=B
zicJZaU->aCE5bAlJfSpjq4ot+RX8`kD2W{wXYe~A3$IfBw&H*nmb&mCbaDSh5$<vT
ze*S9akrbS_-l8l5|Mw%_SQ^$*V{14B51!7^ItT}@7{tlI{GNJiqA+hk3Wo~3EAiay
zet4R@XG|3~dbaVQAbdxc_o_B*d1G@N4?J+wL{0||bbqG72fK4TdUpzb{Og4bC#<*j
zDdIHzbWHEZF8IebzU}AXK6>53ZSc{2gOLkx`Om3HHh5Gq&DIW{uleS~2)~YPk+O$#
zl6)kYVdHrAH!kq^o!9wk;b)nuAva+Ap)I|1@Nv#4CNENc%UaV$c<0ww1K#k;yEsou
zxVW9dG6WV+^St`k1JCF5`9(uvwIeJ%>+rpoF2%9%+tMDY8Tbj~bKL~k;=WDEEKFCr
z-kl0(NUG<I!5?F{XQac6n?9OOz>)=*1asiMIyoo4z*ZXWOHbiFjEDXkg&TXDJquwu
z3Yz&o*ks?}u_Cy)F#6E|{O+JgM+LFbxr9!*;E?=-w=nC<w`1M#uEKD>MtDK<nOqxe
z<&rqp1lRY7&%B2_FHPS32>W&~4AsM~!#~x!;BQ8^VjAIb%_Gf&@U4wf{#9_l+tGv}
z_<-Nxi5i%-d-~BFEGsnK_Zr@Mch>P2>@VaHUIF(7tNvbv&-!qB6~Vm!snq_3xgC?m
zO5i!$xZ_lbxc-+(tt7ya2{s<|uxV7SdOW-|%DhMcZ!%yK2!u;se+i?8jd!~C2f@#_
z$+9xR_WL*kPQ#xL9Pi%==U%!dZ35Hp$hP2xBTvWdJO=k<$gc9k?w!LeTJY2EM4y9j
zz|g{TS@?N62fGAJb5FrS9^S+0o+by&RjR2UfYteDrIldS;=pBLSZ`dnQWHM%gkoYZ
zT#!T=dJHy+IFh^%E^fEldJ+~C5Wmd^Q-;-KpMo=Vu86Y3X>|L<&cO~VgL|0aJFFdl
z&Eb*FY@J(S9vVr18`#{^x0Vj3YwpvvgPSgu-lT^!Bose6!SnW9wv=$_^Dhrw;N#~E
zIX1yu;p&2(u<l;g^+k8ACmQsr@`k$%)LtyZ*EfzG4S{o6AEeL1FT1^1L*XrRD^&Ba
z)iW*L`|z9GW6P89eughI4`8mloeXpEc3S3uVz@GS$G<Uny6%x)DV%vrBYy%m6yMxa
z1^4rAdixWeNWV`17M3?S>_qB6FxVU0K*}@z@%{tfKCjeJ2j7X7kXVBgFF(|M4|AC>
zt5D&1o@}J>Z-pZyq!!5W-5s>t+zo4Q{j-q~J`?;_sgwAy;wvVYO=3^|04yZ1sb&Wp
z_w(kTKKR|k6E}9k-1eV*N8zfB9RWP>2}Ob8FYwaUOVWIBMsSegB+Te5u0i_W%c0Y0
z93D#xSRwtN6fCwn2eZ`}P#=Q%eO*On;YrO+_J`r4E20V;lJGo7q|Z$S?h<!)Tt}QW
z_OP%T+#k`pvI%juJB;$$FwG#HFcnO#>N0a2Zl<v;WPp{lj;|TQ_w4SEZ-#3Pi=G?7
z+b=C#WrZmmqAJe8KK=VLx55U^|E`^fiyq$=;(#L;`@L-7vV+ge+2QAp^u+Dp^rnqt
zd*JWGA}UU>qV)j|Zg_AsYu*{|=<t5HAEpxx+2{dp^nKLLPvQYIuRP%+uUE_t!hc65
zs{>$a?;SD1@XOGvH%NXigxIkkf-8O-1Vq9r7Xox7;d6_F($R3IY<H(TY~WI(kp$=N
zouZM0N8cIzz6X!A$wjHbuTRR;WWegJ$7@tz)rI!5On8?@vbGldJFdJj7p63R;&l{e
z<@zb|0@eyui7<iVeZMG>^UdU-=DXAIuLZu0a#(2bbGr?!$iY!i4c`bJqO^v0-(_oR
zfIls~zUK`e6lLpehZh%%+HS*+59>oez%LK|I~4?<JkfZMoS)UT7eWHyN)|62a(<3H
zE5{rGJGA?neucyQgw(^};RM;fDL7CzV4?_Sxxm*<;?1H-uS(znjz^;7@VO|SnnpNl
zC}7Vp*?y~JR5PqqP8CG150}&5qzu3hTnBIV!#>Yj>^{TvH%tdV!?{<CTxa1AB0_E5
z@I&g0>OWzM<Jl5qe|Z+C3^v}w`RShnA32`Yoy%O5Ftfr`NEiG;+DBv?95|Wf)(U%1
z1g~y~1&&=3Cf5%;#Wo)<cxT40-Q@bglKnwv4_rIf(@xq?*?C8o04%(Gr|K>IC7wN9
z2=0|Q;_?nQ=r-Rk3BUY4XITbM6qqeY!AFM9H@$&dDke8-!g67h<*#6&ec#)T!U~U^
zxl3VB3+F)-Sn>E4=6pEK$Ugflti^grpa^!FR8qPQ+xtJ3A=jfC&m+#xaP=jtAC<7p
zjgVD$_|Mp<RkHtIIYUI;;2Vn<&Nssqx=ae8u*aaD7inKziVcr~V778D@j*DvPUS!p
z{A=F-{30Cun!4c*+)<@aw*pi6_;)A6ua`=?Hefz+_=+{%J@}cY)eIGEYPKuwC2WcJ
zcMNcS(eID>@RKd?E|U36bI{e1cW|}Gac6eeaF53JDmW!hk)H$h$?<y7NXoM`OYy=x
zPV0Bn!@gec#>xDu?0JZBJN$8NkebZz{;+brZGi=^eJ(o$Guxfg?1F8tUTGrp#}XcP
z_m8l{6TeY4`1Z|WrfJxflXG4h=6m3B<OjTInB~zqSo2pb%duqKKbe0lyafAAscCA$
z&KAqoHgNlKr#4;qs;H##c{p=#^*w!fUVi2iiGRq+R`h^-er#_b@&4ddy4$ePIV%xM
z_;}YT_DFc+rhwh1u(49+w<uWp-Uokk_*wbC`E)ozcEaT}T%51{HUqvjC)IxjUNn2s
zR!AJ8)_f9PADX*Y1nXzo+$Qt+!N0qCD&d0hYYt>SUMp=i^A-;L6}yMb=l3<mUT=go
zM&g+@;JG*5D$OuMe{l_&fA`l?HGYJhujXfx`SLGHp9`O0&CHh5hv93d^2di@S^EcU
zr2hoJxw4PJ!Z)8b?S%FDo~6ygEjhk9WIo#NvMMtVzoGJ2rh!u;Yx5`J2ibG+Js3~J
zJ2c!DVV0i%zLI>F`MP<23Krss%^>5wMvk6$0aht4oGXMI&DxTGz-JcS+R6Fyw|b!j
z`MrNP&Y!#w=g2rl*1&Hb8mPv>72i$H*1_%n{S_eR>j>%S+FW=!bA_Fp&!3%ij?RPq
z%cQNz`M!QggzhnX$yY-2IvlX)TY5IEmg*iyt{;|9Q+AU6vDLigauK%vtXhx>M_q2L
zx&U)ntqR_U12;70o4^<RYnL9te{XU9BlEf1KKHA4;V`Z}v%2sSy{cRSe0<77{sc@X
zvHUUuHZJ$&RD@|Vu4~7Tc;uKZnZHrg?XL-eKNSBkk%T)bzC?z?8;4Il5r@N<Vrcwe
zshy??g0POJMyEe~FTVNfez=Zy`8XM$w?{s9a>Jfi9_=9GbL-2aJX~<;Kf~zj@DU4}
zk#)>hHY$u%lJdQ&(+A1?rJO%P#szLO|M%}JTpO&F><T-bj@B84yYA1kIKuA>5)}Gj
zm7?22PH@P&NN6uCc#q%M4z9Z_?cM>W)aCNp!%>?%8{WefZU*-+!UcCem(;@prJdGR
zaNuq4O?9xpg4?huDbE<b^aiGjT6%g8)=(adE`wk8Dn8JG#p7pv3gAThS2iSHX+J)A
z{{l`CH~yjlf0r$&%!1>38gq}r&zh|mp1>gvm-i~eveU0x17XcqR0bsf8zx;j0$}ls
zjAlhxT7E869yUFr`SS$)Wbdb5S=iZc(3aG{);rWF4u4c(ks|dgv$e2^!Hcq4&y?US
zis5B$xV)O`h#Fj_*`>|}Ta+cfmW4li4NI}XP5y6#<l)zB{eIivaP5;DB;ldW3m2*2
zOH;A&(r{4Day|w8_60BFL0BVQO10Syw(`9%2k+jsW1$6}uvp<e0;m0;Da?iWf<NhM
z!=ZAYv9tv914q422Jq%5MN;vwuPCF83B2y<JC*<|O5Ulw03SAX_!LRv%vbJ^{_^IO
z35kX+?~F5({tSJmNTUyb)_1aTgH;k^jCA1=^|@g(KI$)OA5wxV=xlC~@#e0ag|5Z(
zn!lqnWP6dqyDU_&ys)<`8DBDUyK6VWZGUM0^M!x;P8Y7bqJP&OHk0u__0;9k22x%{
z*dPpEo>VYeLHyh5JN(}oJTIp-<@^U<&HEwu0>0kGO1}&b$9r!ofa4C$eBX%e&BBz*
zr{Osr-DNsBZZva_oNt~uoxI8d&wNyk-+mwKr!Uudalma0sm-h~ZFzniH(a+($U+3(
zBO?50Km0$A?mM2V?~em`vZX1bq7;#gQV9)vl<XamnY~FN*~!S>dnGcGm6?d_l!WZ8
z$V$qWq~GiQ{(L^(=iYnnxo6+|VKLh~jtBnl%7toP_yZ*+pA77Lx~g3OK0~f$ECpZu
z6d7>^=J=rDeFuKO%$_L)i&>^tn7|fn3x^fp(WHI1!r)ETFm4SZ{kC#MC`|n*B3lnu
z+bF;I3QnRJjw0e}rT0my;r(y5KbgR(kE-5Mq~LwFvRBhBSRm9Zj0#q?+COLrtJBS%
zJOQ^};%U7Jr@Iuau)$x(8%FfuIGzKKuELQ&yE`=rfA3Qfg}dlZ%iM;a{NPx(fE`KL
z1+-xCm-BC|;G;fma>VscCCh93!^tlzgw^54ReRVT!6Nmym5A$wezL1dhb{TVM2Py6
zpm^3V6W-CfphjG;EiwFXEnNPfK|&GsbWobEgRi97YpcOaOGWPeuu`0$><w7<gtg2d
z{8sY&EoFG`hxXxBc)w@PjcYKKVL<L0>`;EokSJdv@u{nOQqjNh(<n>BUA(DO`(VxE
zC5-a0!?-QSIXLp}0WKo{rFkW~XW??@^$_BIFP@3D6o-d}^;3!RxGB_|CJJ}H)Kn(Q
zcZgYv^BTOQtDgH9_K!c$PsB;K3~mO)J4w@D$-*ZbuDvLQ<LcQPMPM-@3!`%QV^PR;
zB5v+_scHlc&wr{)#NABotj1tNR+=v|@TG?*pDe?3Cw@yx!e?BK#eTqiv05EB;0$jk
zXKM5pd0I@CMEXyH^&Gnh|GN7_5#Hz5`s6bF=!GAj6l_AzEq)cA+A&%#50{1X8Y{rZ
z8!eArhu1kp8I<6by^T**;7>WxoLaD;i}#Qce1z*>hz_i*#yf8S=Sv)MSB34P?8=Q`
zg&c=SBK;_f!wnDEX$O@zaX!<U5(ZDWulW9X6*#7VGBp6^FQ++i9iAnTwg`kXRNOwv
z!A0gtE8#FN2}P3x+~d+$6A9-8Ik`x|+^Rg1NwEIZhB489?`JgLlLGhYm@<gK<QCO2
zIq;b`rayUMRaq9EJeb$MBj*g9HQ`cP0=IieM{~kte=<Bv;R>ca87}xc%^&hw*zrA!
zz;T#-nC(LyETjE!_5|#2_&~b_W~o~0I}EGNXR@`zi_*oHj>1~Ln&$>#<z#v;1~@ME
z{@*Wfx^!RYA^4#IFYN;C5pm9AKg_?a(7y<aYW)~L2ygyJGP4bP$4kGbg&B^smh4Ew
z_~u4>VISNn|LOI9SfWJn1Qo3EZ#jq#ZZF>Th<N_%y4eZraO#kP3o)LI#n+i|!0JrT
zIf?N`d=JwCA56P6OaB-3sbMEy<ylziYns~*#53I|o5kVe&*WMwh;!>x+>(az^#}DT
zY<0nCQUT5_c)UIb=PB71DZzV^NAteJp-Jrm+VCQMsYngXvi4@(2)=FX98v|3R2tap
zz)xbz&GX=MnwKf`;lGOyD{^5M#sN<am^F3Wix{8s8$8E|^tUT2yF=lw0w!%$*xGoY
z)*s$K{Nsc=tP=az_7NQ4sGWZc?mKPBX$B8f#q}A(t{rkNrf^LlFaA^r>W`3{3emql
zsd+g`Tz`)DF)7jh7bA{ZnZa5G`C~Hh_pRt1Rxr<CX#~;VxF6XW=mfuVsDCI1=WkZ3
zy1>;z&HNH@=aZ9P9>Di)yLX=>(x(U5dBZvN?_ZyXn>~L0ehiP*Ha{lDAF0N9%`lig
ztnM-ke4|QtG!71Iyg#vq@lAtMr8gbETVN3N8$LVQtdj@ds6A&l183C^E*HQtSJdjJ
z;6ejq^KAI&mEDgzVf(qUcSQPTk4t^+@V8fY#4_M>jJryzVeiX|eMI{G#^V28!GEZF
z6_R1nwbP3);EHZhrc`((=Fa6}xYW8SJO(xpy~3CV(~yLnOn~n#c$ucaj4At4!(kF~
z8?_j?%F50>5<W~-nGpr64J?ln_dkCjCoC9duDbp_82%f&Hu4yj``yasOQe54)!_|`
z%&{!_!SVI86&`TnpI9y8d5C#VWIMy-y3@yPV8#pEVRrDvm)gN<u&5)6rx`r*FkOSF
zPcOQ=51YXI6QX6LU`vj-Jl61Kdqockc-ZTGnK5y^ebHw|Sm5PCrY^ku!Akle*kqtb
zR2xq98jGNUrCsf2&cH$VJu=ZACu!#6_+k22_Oyp#OJ0%yF8HNl!sjD!V!?euZsPb5
z4t;hQe@yHo8!YnW#wntGUY;W9XNRAJ4i*#blk?o6(u1(4`yr`wuxjsP69(A-?z4_d
zaK3X4-}XJ!AMyn*F}Qp6%!4ghCQ2t$5SEp_V6_Ib?KQU+hW8%%RJ96!v+0{6+Ize6
zSKlwNZOd1Qi?9_{*vA3bL`9*77k(?081xFZRzER$0S@mOy<83Z9jLLq3NP>IAkT#V
za67gV<@Y==LOmU3U;ivd<nNq-+tEN+I_plVC_L_=U=sjOCAKmU`AguTCeeh;jyr!K
z`kQ&RH6?Xe?S0R6BEN;g8NayU&y-@9i1U*LW<BMF*PUnI$iZ@ILD47Sq0Zo7dDu53
zNE&~mszJK=JRR}8Z|t-_e+=%c`!uWx-{!EKVuc^kKQOrs*SD}X?1P>C%KqO!$*~@C
zH~@#S=|3duSA@5XU!E(zXU}P<_JLES1O=YMi;>O}M13uf|9K({w!Zy&S18;S<>&Vl
ze*RA62+>{!h6No{2{WforNJvEk$yz_8?M#vRj|yWkYf_u#la+9152xR^b+YU1-;Ze
z;ZNhnrnYd&H&fbv_`did27CCo%F*aC`1iFuQgfK8!ccDlo`||tW&!6!AD*6r{oB?(
zRA7>bZn0&!HchEh3HG=`S2Y8x>^004g)4Ts+?a=FR^I%+3O}x>Y$DF5L!<lpBs{{&
zb!-;iS=hRV9X_(dB5o9Bzpmep|0&pDwX<|}5*{xY;Gltds8%e8V2)19<sWzP_cW6Z
zw2Z@RD?db5;LdJ&kpZ|r%8POUX80+aFaj4SEL9G|mIC{Z6Zv!S{}$N>JMG_mN!*W?
zld@z7{4ufV(kfioaOG$X{OoyZ=Px+&Yif5bywAfzeH$L0+*4ZyR}`qQ>`2FYec9H!
z0#;gO&Y^;@B@Nyzf_Dv)*wVnS!v$$xz#pT!ejR|n%_Ohq!r5nw>kq<5TmH+<gX0a{
zWmsTu8autmunzgK1v`9z^hDt!nC=Pf*CX(Qlc7dta0A~dayB?9M){>FoKC0l;4rM!
zM;fXDKT2rba}?gTO65_7B`A*mqlIIs{vMKp*Z#bJw+F5i@}QQ65B!unOWbdz*3|DS
zaH-bs|9-<cw;E(F!}V<}4oh%auXx(33*N`=Gw~$Kqsv@MX$?NMElEL%^94q&a!tWv
z52fOW`~Ri8JU9*CDm{6O4!(vZ-U$3DDSei>|DS&^xsJiq(mr;?{ZGUPnDoPnlN*A^
z;O6rW4-UfdB*U*c;fKd)mRsSW&<160*ky4mwH=;Z%^Ell*Dl|`Uk!hIdEY`1ez9_g
zs}|1J*Z(032T*?|Er1PFPx?s0##ie~3*k|zT{QA=MfOs94(xu%;-dnb`KDJn7pCb}
z($R!HdjDNbgLQNAPiVuogI^cZVRD~{d;_>WhI%L-Cfz&dXav9Zn-5Ba8w`3jE#bKD
zyY5B8Hd*XV)-ab!;iEWM{_7W=0C?=z8|N_i>jPf4K$x-k#)Vk;sD7J7K73+G>G%`)
zGW(HT1+dkwzh|T1Pvza2&G5SO8cQ(YPe-lZ!4XCST_NywC-R@~VdJ~))qe1#tZK~%
zxL>}&G5~hd6_)%0&(b7ldBWM#KD&nDGwt^%y<i<%%cv<>=;Y~cGs1&s7v^9&gB_k0
zu!GxS=T$g;&4K?qtl6><y#c?B%J-Iq2S)$V{(z-20&GR$|88>i5$Q8-$Q>1jsp%N?
z{=i@It?HSG^a};jWEm)5<D<5RVHv~JE?SsMMC|ycGrq@q@_vyH=Bk<Q`2(jdG`TRt
zu4^aaCSi*s4PD3K)P;JPX}B<=LgO?{8pO-m2dgk=O!LC6rA_ZY!+eABHWy)z5$D=&
zxV$+~KnNCErn2sVv(~-p#Nd|3GVNB_DZ$2H0zO_RL)8wuiQU<K10J}vxb_B)h*Rp5
zhh116WH-UjORwo^z^c+mBWhrh2ELP8@LspeEA{Xn|KkGY@P(M(;R<;FA@aW#u>7n+
z$SZicaof+4hzIj=hr_k|1+CrT@wxmj5pcrY3v0e`=FFw^`*3$l=#9s)>+3=#cQ{8f
zv^N5Nwu7DC7&f4OdpZvGQ44)*0-s84ewhX*-Ed7&haZOUNMyl!@4v`v!fj?}+MmO(
zMk-Fqz>$w0-7JO`A`kY-!m4?}6P55n#n(bX*nRVpeGM#@d`V9jerfdOza}_5wrtNK
zc=MMCV+V1($iKS7u%)bQS}$B0zU{LUe*16k*8tp6B6^Mt-Zo!*Fag(9i9PFZ!uTt3
zd36y!>}sLa1s|ur;r1J@K6;C)5I%pQH|{T7lHyuf1lvtcAEU@b|KwYc^%TB#Ph^%7
z9-nJgeFg_7tJv*>2Q1mR<6%|0|Nhd!{3L>365y{7XaksGh2+~U5pc_G9fhOtuR{(l
zQLuriT^|Q5dw1=m6I{FGwaN?Eep-2F2cNsH{FOL<*B<&ZGx&T*U><S2=`2UC5p4PV
z(tdJS=9zkw4tzGndVt99Y?$GcHattEqP&g!@fT%`5rRM1ELaoi`LZs|T!bG8bxmy{
z?sIJ{mH}o7XCom){32zkG!uN1M&>asEIq<NvjdK%(;wXrPf983ZaZRr%^|Ew4IhhP
z>S>1Al80L8VP>v(p6}qh;uK0me)R$m9!Y~odF1&y;W_q~ZRxO0uv^s`xcPdMial|>
z3zN|$c;=$~4o7%U@5a0YOj07fU;$6G>@1Oj3;a40tzdWdi^2-<!n1||V|Yw_{+}Ye
z>!n(xIZT@47jF)amRUX}&L4EJ`@<dBy!m6D8!UfyZD%6P=$w;BTyIxdaa$5BS1+XP
z47*()SILIw7$~Hy;SlF|rl)YYY}~31yy)4MUIZVKyFF?O%j$cYy@2@)mqN_oxRK)J
zSFp|9&+{B`k9r&XJ6Qjy>6MePx<W*9JzT-J_Ib+z^HDd!2SnV8Hty6P*m38dH6k7!
z`|sa8EIRz%yAi(X^IT;P9yBf7sDe}7y_#OYZY&OWTHphL)ebLVCAspYZg}5s^6Q!K
z2J<cVkFfdKOY2#1Xjlg65NzK#_%#W3O<isqhM#}k6_Eme_ZLu|hF>0i>JbBfzUIX=
z3%9X<J{<?2$Z1JmhTCbZ7{XvG<~?RV;3%(F$4FSuD9Lqa7OtnQt{()m=#O6|gNyrK
zRENU+pKTQBVcE3vPyOL$%@+q5;cd3CosZ$f9U>=B!O~+?OJ49cx#xE-*x+c?e?)pK
z{C-6eCZpRi^#Jxv50{gMcUOik`M`w?CX@Q`%+%tb8*KhAJ<kBXoW>mJ0q@tF<+p%M
zU-al(!!p#G_147k@f)<ZaM@Ifj0+s^AX=>eE3+%y_JHf@b<LIFE3<L4e(?9!Y&BWf
zNVK{z0FF_uC%Fz^a3#MO2B#lrDLMs*{AaEh3p;6lymcCGW~}_23d{S`UONGcdbK2{
z6Y1}t$UX@N$Qu`yz?pGsVJvX4u)R|$d_+d?>M=NFrv6V2oIHL;l@o3`RU%LgdrXV$
z;DVX*w(A;+cp@D=KdkWg`+5UB_lvXX96Y8h<kbdeHE;J{f>|qBtKY%Ku1o<};OP-7
zi5}SLR_a@I*mRkCr5&#5d+VqP=g6ww>xFGKWlM<idOY5GvKtnRbGvO1pS9dm^cjv6
zQE|QpQ%3gBeu8Cpz3p*_pD*A3ZyKImovv|$GcB;PhI@A(wRC}P#)f59;4i6{G;Cnr
z-3NBB!g6W$q;~Mnb<LPfxNPvz(jEBjV4&_6obkFQ*&IG6+&xK_jrDI<*CPYit$Qnv
z0`9c^Ctw7h&XPE{7pD5oK&uK<F~!s$fG<x<RI9<U=Z0mD!1?aia&Ew!2X^dcfyHh*
zsuA^}C_^^pButXzC?XC2ykM@&3IEnhT#$k7gkMaafl05&^ozhoUR`<ou;Pzue=&Gq
zgZ|tl_&@h--Lvrc2kH8&@E7H`)Wq}QjtG;HfgM*~t`X1k%85+cYj8q-PbN3~P;((#
z8Fu(t70L#mP5Psw3in0!T_);}os`U^4!mP9X+J&O&ZuLj5BFr3yk>yEP&{3~10TzL
zlD`M`j>)exhYzb|YVU&|Z~T^afH`+6^X-7k4Ss!ahHb|5hDqQjG?F?G;8PKN?>6l5
zJ=x?H)`xJNHT$9eU_JAtxVvz(*tz2O@Rj~h7b2dkd4;4KPFuLNNW^)aUt7n(Mi)sm
zec_KvNr&TLtIsz_gJGA8Va<2pd&)|`BH<q$dQSJ?oc{a=N$|y;bo%!2gF1c56xiBh
zY?mV(SykPU125`^{kDLcRIMU%;m_4Kv#sF9rgw*4z@d_4VaBlBK9{i)`0=b^yg8g!
z6m+ixmdyR<V*r0sx+u~GZ_u=zHG)t5jBM$H^~lc1Si+p%Gdn)PcXy{N*}*?PtS2nO
zZqa*9UEv!&QlGxVkrOiq?!&W2skheP@4ninyy5*$GqJ1iqy?RyAFMYSn@gI5`N?=t
zLJ0ii!r%l6oO9n+_6aO{;H)JL+_CH1tyoyd#U`5yPI_GPDgn-LXDUAgUtYP?odHK5
zQ(k6-dHYU#WWn;+vRzr>gIWa<&*49RKbIVZ*`hK;3*keXT$ecE8)r{yl*0jUw46`E
z51WpWR>I^Fd0V{jta}dAYxtDq$BR6$^qriR2AFg=+v^MPn;kXG6L1`5VlI(Bhrhsf
z3_kcw{upsS%YmGPWmt>BA?i3xD-iL05w6{0-$mr##%P6`0`={eplB5xe42mX7fQmT
zf#S^YmFF8|Oz;ecUpW&j7j&ZZ5PYqt<0^4JrHvITqJImk2|aljo)@Un5rX?PuBYsW
zUu|&?5&eZ(zRQ0UunxoB$Cj|m>2j~Vu<?(fR7cq6xli?OSl;N2f-{`F-5|jL(`&~W
z5#z~~h{qlW;p?m``#j<3$`&#fxcjUQM*!Tb8zgcB)=+-+=@Bfe(bB>Ohr6@S6XPf6
zF8>`TV29O5@ey!U|Lefhu)fgm!UR|_?SA7aIECW&En>W$5Gj@8hlR}EI}qdf2BW#(
z8F)syu=^<-nK2M824C=Jn<^rXuX)rh0(Xf#kgtUCal5MpOmDMxu^6^3`F_<3X4`3!
zM#Pz0f6c_e7uQ-I6LJ3<xxzR&Zhxy}1w3fZ++79VCUd@75A*Q9rF;d4)cRMvfo(;&
znA%_|t&izdund#$Xggd!Wm7<;H?TeIIt5dg7se9jTT5}gIs>nnU6g(WYjNc?FTu^f
z#!1uRV{UOwYw)nGu|_KF?QRtQ9iI01#PtOJ*t5vI40BT&xQD=^pDLn>^YJ8IWhch>
z-2?H3i?BI&)<<GIX<_OW_zm~*@kVICmj=`V|G=XBk43fM(`Uo?kv&EG=GLv{fNAe?
zmhXXIc+>A8`d0y=86FBaFfl)U3-vXCY?)>+T$nwgxD7LFU5H|Y*}kp{{e}}GPTxEP
z|LtL$U57Pq+D{yZb1Tk&AnHGhtZ^<Id?v`~;SZR^FYgQwOwD9tF$dG0O!&o1q~~aD
zUVt@tIVeQo{aJ0rQ*fv%U8fj)bo7_r47|ajqkbLE+qo(`3fugaJbVMbI4+w_w8xJ}
zKAye>pZ|I3$slZYuWCgPeja0TWe7I?xa0mExJFr(qZj7+IwfKb*Z1H5^a)li;dy5d
zk6bdU?}V>A?+$f@O`krpCi?gIR~q#0a7c-zW(!=)cYeqNjv{$N)(Q)Mb2s*f8_KMf
zi2lQ8zb4lsSadEV`3=l1mR1r5TT7V+RKbbNcU>c3Jw3k*HLzX7>wgKbzk$}#QuvQj
zRC5wMuIJoY2LCl5QOJgUADQbB{ikL~^XWpk-`jZ?(SPpNrz<UoRpNh-K7b{z28vX{
zGY`owd&89bIh5LA`urMpqQ6e~HFU5O{&N2VpC^3cZfoH*OgZ4rM2t@k#U4(xaK!WU
z9uHVmx+0o77vC@VUaEG61+y)5cERUW+*pb0G3G3iUWAjs{iAk)T{qL)1mW9{H0+7^
z@)1@iBly!u%S|HQY1S)b0t=iCX!n7qRe9W>!4DV)O5NaplwZa2;lP}I`-uGQSH7!K
z1J4(xf3<<zvId6h;fY<r7p&noyF%3~;F`V6l(%48>5;K2_^H?4n>z4jahO&K?5%WD
zLKXhheU_yZCOxDYtqhOQevKxs_nS2J!8N$!il<HiOvRD>UItcG<olQfuf|-=ya>y_
z)Yi*|C)=;CU4WfiDEd<2DW#AR9@uj;Ix!vA8i_x{4GVr1KM)TGc?<140y`-xrzF8$
z#}(BN!Q(=I4o1N|Ial_Pz^aezOo{Z-2W}hvv%~y7i*Y0jj_u(1(haYk33-qRO9&Y9
zbiuo6&-{vj(*i^rZos5=gV&1S0GBo!1^85|<OiaBv`SdTuEM4$#A<k<HG5G6misz1
z*$8_xExqQ0k9^s%X@Os8Ticw48>8?1?uMyrb46L<edR7*AK};Rtc%BC=kiIaA$TN7
z;q`u)XL~Yo6ej0wu%?4=NU0r}h1K5lXzYR)cPWm4gC7fslkSF3y{j|-0jKZP?Ax-%
z_jk$9R@dND1r0vi@MOv%_rLJskGEF8VUhxBv460=1Mi{#VA>Pzt(4EOKc&yJa|QPP
zY8FZji@b>}{s9+u4bmTgk7<U)&%q92O<(BXG*8W+3vfVA?ss<h@($VIDfmp%lNTKD
zGS@!AZ*bUor#FJ|#rXAO<M81EtpH)TZB(ag0xlA5-y;G0tX-)Xggq>u_e#Qhrg!Wg
zfgM;Qrqp4z*};uZFhjRpo+i97kgPrcn^$U7o5A_-tgrUKW3&7ZEnvxNzW81^l8h<b
z4Zaie%c}$aT=_%Y16C2!;Ol~ucAJj)!A*?}jLk5e)8)(nxYfPap%uPgc%n28_L&dX
zX@JXOe!C{XG5>v|Y=pJlEO%tW{Q(MtCGhKT%Ag!Lur@oO6h2hrai9p^HLPs+9KJFq
z-CqprujMco!i|A7w_m}BYvjpuU=j;&_G*}_BJJf<xah%pK_e`@Htrh>ulwG+*a9aq
z@bSmPH%FK2yWw3=S`UT8x@6CNd*HQ5x_1%qMDGdOK{%r1S@C0d?fI9UFYs3Uk6Xd;
z(-qa5lW>E+x3n+Z>PC5V8h(1Jb=40}zu@(B5e|(}9rA#C?D?&h;aTyxKu`F6TK>;<
z_<CpBO<TB3Z|8$Q@W-@K3VYb{qX#)z9_C|px0cP|L+Whp<nTqOgk%eN?P{v(9=J*H
zfWIM};ULbq52o&sKW7YQ_0*;@!Ot!?9M**uD{h$_hJCxwx#+_(r0Oo*@ZiZ5Jx$os
z>W45dY|7e4qYazhv}qK8>yBRfsRVmCQ9crcDevYgs1fnee{t8~joYLbZ@@p?;%>>o
z%x${T8t}b655gY6&5{gydT`y7@pgB3(j}$R06r+yI}`$Uw&}e$hoi{&8H3@)pj;12
zxR^XIEeej?vWRwsH$IaLMZoI}RpQPtcfmd5MEGx<m;+JX&s3Pd#KNra;*SQv>Zc=&
z(%@Cu<BG)dCoelOm;{do`}~Q6Plm@BX2S;bVLGpf^gnzRQ(&|os%kj-%+Jp`aOxob
zK{gy}QoEfDJFQ6Z{J*_k;Cw{Hd07R5$<Uuzy>W9&g$o)xgec(Y)rmh(;fE}n50An(
z=2i<b;49%NyhML?SwTx6A5MJIieKuY{??1l5c!GwaPPz=SXn*Owh*RrO1DsjT}4ff
zJ%eQe^cdCQ15{19FJP|RP8kze%hH#HNU!)la?KR}Auyg(P8@GI&{hPS7B5v0`K8QS
zIZ_C7Uryj7?pOEpl^b>NuD{z^3Gj?Q_eMSZ<h?3SCTzM?r!@xKX3Q}V<)=_oM?L{>
zeiBa0g55fE<Tv2cqJI^M`}e%{a&r^*$d>CT?!VcyZRQ5Xmry50))@H2->ql`cu4Km
zGvfNks-p@t;DXxMUy1VzM|SFH!Or%iRz!I;TA4cDhCAmBbBO$8q-3!g!n6+AywBm{
zC=nrIeLA=K*DMd#KISt+tS1vRL|01SZ~Vu$iS_K-a@1*}yi6F)3yAr|;iI2kzJl##
zDBlwEjg?lm#R|B|U&E0Y|NYyITwcT1KKy<h0Dtr^EUtsyEaij(;Xa-3f-SJ)$3>-Z
zIDv!T@hu$GEVCT}Z+F{lcEUfdFVH8#!q1B?biiw|a&MDhQqK9>UbtCsb%<C`=F@Sk
ze}Jn;HG*>Bej|g2U*OfGe;I}F^6j{)0hrrewD2W7TPCi$3ZLp&eOnC+u{wsV!2C)5
z$LnD!iScBTe4M{AT$q?Y_Ak)%|3kdY&o{OWcG-5B-G}&?uSC%YSms;e@x8F+p2l0m
zd^L;VeI6t1_f#Te5;j<%IeHL2XFL)24Zd!bUcn2;JLVU!z*A-AE8K7&?S=(0Ki6t>
z-meHt?K`eY%+Jm1jQW*epZ*EGHMpi~#m)krqy8(s0M}BF2w1^yMowiB>7#=#%Xq;0
zo0o!TVNLy$w4Sha+<ReSKA$n89vuKD-5fqX0spYRtP=>YZ0vkU%;&G|PO?mZg`QHF
z4Z~`T56>pSu6gnFqwuXW#jmnp@jtPD`{2dzVV*hguCE*g{cz^}28tqBZSYw1d-%n-
zl+I!}Bdbt?D6icM-RiGk6S0ibM0qCf&O2NUpIzb^Y$qJ>C9@Gu>7~pgo)6hRKfV@N
zB`;K~7VdjrQPB-={BRa6gR=z#JbGZJ=l?C1!^}2SWP`Bex9U2gK78|02p@*I+k~uh
zVXlAPOw({d9i4g_k-ku7bOv7Z4%?Xl)1<lIS%w=Jgg+AXlSF*;$1416XR%i#Typ=c
z+aFjxTTYpn56?)XlmCN1R90{M!Um1~p_I>2pY?ra+~Hr>gVd;DF^!dIVt!30+Bmcy
zc2#sTA?C--(adJ_aEA5J0Xul>y~Z*NeB^cP<{j83<!{+B*t%isnK}GJQSj<1Sm4#m
zaAJSxdH2xH({OGwgD9~-H1vx;_#9j#{EmZ|Pmgm}DqnzQNVxiR;gYvM2Cl$alAmhT
z;NQ=}Qbl0#rSn!qf8tcr&LInr^$n^L{mq7o>B2RbB|Ns6n16Rs3~$|pnGDaz5%ce7
ztj>+PaFVrBCXwFd*GXL$c-3<3u{2y^T+8YTm*<yN+=OKfY<x#xHxHHfM1Pdd-c>gQ
z4-H-AF@-g?gu55uw*li)METh2L{WW*W50aKu!qk-*kam(v-N$eiT${L^~!3SuzV?n
zg&TbMx9`x-0{os{y~LY%KCfka=}F+Tf2`+&VBYz*dTv;=u=oQJcPR4o<At@XI{1kG
zO6}fwv<Up2oScE^&z4_D>WIOPaS?AH!v8HaeZ2-}d~Sa33RliJK9hr=>km^A&wH(>
z@0Bjh6F|8_^q-W9KAw8;GmnT=qW`?QtBm3fTyd?^pI8rBU()L|gCi1KzY@=XkMx`2
zd+<la={7SsVBIX!4L+T3eUIp`e@i8v_J!wm`rRhV&pYqxiXXg3oO+KjTxV^6FBFy)
zIr58m{@T9#M8e?nw^Or-^_Fq1WJ?@uL0aJ;4@dFcS4n~k<j%7y!m&k#gITc0#+9Y3
zaInlLlU$g@tSng+ezcoru^6`3%Mm&TAED(Ut%SMm?VV+XRcZ}`U&BX!%_dR75}Z9l
zZ(+^**W_qm-(?z;E;uFhC=)T>QC(eF>Ve-0-f#H>pOZi3ItX_#=okKkFU3S%8G<dc
zDs+Fr{D*tqPQslWu@Z~$VS1sUY4~%@!pai-d9TZXB{;UOrGExasvYcKhEE53h%Upz
z`qbWs3(=n+DA!(xzbB>FFv0t+zZh@96?>G`&%x<I%n!(r-`cA2Cud>r7t4c`@JSif
zG;!ECPw?knIR4DYpeWpAmYcC3E=f9QbPc}j`J<XxFBV28Cd<I<DkF?6@UvGGg<5cf
z1TX(d_}_BCtOlH9@bt=QB2LckWd}d__D|y+%$A>0Z3B1qMH&jiZVUoykKo?5Uv9+n
zpgQ#|)E_3{IxrvsZx&Oh#=^!Y+<(Zy&HwHWM8oSJuKZPk1-Z!_ir_G#Vg_w^ZPxO6
z0j$?F??m(ua|z8gb+9I%aVSxr+M+pr*T4ldlvjxM84{)H`4&DA<*h-q&$g7JSB>!N
zj?-jB{rzJ%DAobXj3p^Qf>ZQAE;qxgiz@#D;R3@=*KU|}|M1^In3RmYz7~FXtg2uL
z_VkpLA=38-$Bcc4i&-94zk$6<-JdMN42j7S?eNs$n{WQYyoXvUTHqGlYxe(Or??4`
z_i)p#SC5JP+7!*@dtLCM%>p56_~<iglFx8-Y?u|XUz>T7(d8rTl@-#)43F8%`cJ}j
ze|Ao?!)<ypuP5O1Bzwe(_i07(PVZOY>*s@Xi1#OkP1e*uU;);bW&-d*x91r&MfiQg
zH$m^KFvI@TAu6~$|NavRn3|>E=>#l5L;Xw+mSk-zWQB9@OHnAo=C#vx{BW?mjj%r4
zezb_64<1;I{&pLFk1q=@!e0C;0>t|*Z|7@fM0%|}|Ec?MVvG8+FnsRDEt5?6dBo*?
zL|l?Chb|j_W-l2}#N7^Vj7`BxaoMKaFtxE^*bL0~BxmtFyej)+Xd7<wF-|0||I7ML
z@D98`md`UhAqa<eJN;mVOJ!ZD&ce+B8|f$DlbsIXLhzrfKZVs``|SO5yzrZy5p(LW
z^dyA?k$*l`(u>6V?4D9)79xMTHHFi*@W%1IIYj;(V!8g^h5ZVQMv3cbat7-Y@6Q)L
zN-bT3O^0aj`M}Q;BROT^Qy-c*{opB8pJFBWL58e&2prAT@l63XStI=s3I~@}*=xf8
zjX$P|g-<2^%~OY|BW_g3!NcqG{Ce;}LT@ke{eam5mz6HeoSW#I0rxO7{4|EMl?y9M
zU`w(9Qv<lq^}(G|xJJN!(HzcYib!aJ1Gl<vo5JlkEw2;bE4<{Zn6-iT-u-3N1#9ge
zWwnOg4t_fD9zM;`{LC31kvHV&ho4b?n{b4quSpLNz?@@U7VhxAluy6LVb8JenfKxL
z<!2gGu*g8!%OH3^i-_F<96{gpJrEwSVtv01`)x)3Nq`p}YQC+*9d~ms#KYD@X;eG$
zy#-UjoN))7Z@#p&fjAe-@aZmCzWICVA6VU}_GKUZXYGRjPk6!q`Tc&_N8qf$FW5so
zgk&5}rgT2C2&XXKYn^~ecx*bB;OOf&mFHpa^yeir@cED8j0<r6vrNNpaEKdQ+8Uhx
zdPtVIzoK%gJHO$==RNBau+^ve#cg=Oglu#WrfBRe+fj`9!iDwFA(%(2_zE>FdP7yG
z10HrYZ>NQ)#6@X{@|M?-SEYxU)9$Rih4lj24l%;_?yID?!2H9M8OPu+{ZZBxaQUO>
zd~EQ<z&++ya1UEV1vl({sqkAaeD>E#sWb2iqmcMKIB1ZzQxKjqN%th`%h1$^NMV@8
z{sCVWoGe;(SON|>l&~2IyCn%dlZFLv*yl&XcSVk$RfGrDAKWGC^VaK#Iu&?PNr@u>
z=6~)ktpf}5UaKd*|G41JXJ80R@zdH8-+zdx9{FYg?=V^y)`An$^;~S=n**1EG~msX
zc8ezPc<1*;c6i`yceEYMJ{yt30n^96VZH}@?=`kyfF-`a$#aKaDv=&yg0tc)`2FC?
z^6BlpaJVV|fBx{*LEobNu<T<FuP1Qcgh4bltWK3G6Ap8J+mhS`n`cIK$HQ%rpSVcj
zm|n`5MA*o~c90CFnEK0{1q-x^z1~9qBlpgBG8>+b8L%b#qeF_OR)z4CUyk~3*naXO
ze=(eS;WF8OaPoLtRVCcsymNjTrZ{!Ms|t?Lj!pOhhbM7UHNwNe+7IVo%9zORCU}hT
z!RP|)wcBU(6Wn{|;#;DBtO%OP{tOp2-emg*iwS=&n}vm6Q&W$_{Fj8>=U@|t2F7Wa
zCGZ#>=?m-!2pj($hJ8mL4wAtI#?yyq;g-hh)IxA^iM9Zdzdznn5*OjGW87*R@X_pK
zM+<oJSf&t>U+ec2!d7sAOROw$zZ-tzJ$~@pp?^F}a0~hMxB&PL$J1frd{%l_j)lSU
zd^C;3_1MERro)N!T<XWa!*m}4e`Ubl^u-jDu*;+GHCga0#{W!-{=a<tV@DZ$arXL+
zQMgIyd}Ia8x)PB;0pFfEocRt`$odjC2-9TWGjD@ibsmTg!NpD1D<5FD;s*9!`26{I
z6}_;HAF1DGn2YR1%M@Hvd)1;FmRqL`oq_q{AGUsgbGKKL*WuOD7lm!GzKe|U1{}sR
zcH|>`dy-}sdkOl3uYY#5!#`9FKAeR2$%xqzanY4y_myGxvTN!@{FSzgs47guzIK2(
z|M60h+s^Rtf8W<z;WCM+lXqdGQ*pUO`i%hpLQhyN^>IieEY<qi$qUwgaqh}nnBKST
zPauqmJVhBydfhNE1m5XfR9+5q%WLe5A>x_Le4#LBX2^01+{qT=84RBbh&ChQ+MjKV
zePQ4DX5KjB__)mj{;)tmeR&%E^XOzJ@qNV(>)!1$csfeTgLwZp_OUOZ4lWsca(Xu$
zRoF1l2)9(t4DNx&_?itm;FWc~tZmGPav8H1x?#^>#j3>j6b|Eg&i(K{fkVv1{)70!
z{T)LvsitYi518w(SKuT}64ww-><?VymN+;IOAk><5&Id}{p6CDVO_=leze2po$nXd
zV43v`8J+ME(JwB4;cbt;tt9xKiW?KvOU&;S|2|KFAE`c0-v<X77TolQb(yn&(8Ier
z!}5vs^V6r17Q5lZcP&?l`KQA+o7X{@p{qKSSnq_+?)h&Qe7VquOc<7bI@wFaS(fgU
zULubFw57`eFIUVMoPaA+yb4ah3A&&6vcu-nNf)@`cN#A;Na1~smU8D{k+eu<av1+a
z_~RwmAw}}*6xIWw_DtWz;d{YM5yX0;AXM014mO!QlSb?(K9oADXbFEZN?jrL8!7FU
znhoJas|N3L@XZ5sU(8{hN20yN`<cGvF%<*YS%l7u2|ldYm2L|6Tul4G08dlLG3mkH
zZ%T}a_a|}D;yfnsl!jv28XW$DGFumZIH@5`yr1Y<w5~LQSLsOOKEg*W&z#YL&(vI^
z&4*3Mc2gR|(=uCn&)~m%J3Rj%Kj6Ya?B_EY3Q_4J{-Q?o9<kpWXt(xI15SBVB}VKA
zvm`4~--O2%LnDd(V#h*iZ)JGFuj4MUKi?$&LRuBB&(CgkgV{JO>aN3aJEjYW{pYqe
z8lM~RPrs&ZVt=03w{b%PPTeG*B=)a)F5Iq{f;~p&E)e_mDR1a6UV*nA`3~KN|9TZ}
zUWK=!ch(X6@yv6K^E|K*wL%85pWZf|SHuU$UAy{I1$J-H<KTe*4nOX{4nOIbpXY?n
zM%i^q!AkE)RQJHO&CMlO;7XA|2BJQmw`|=IfLT?q|5`--UEJUv<%JhaTC0fqJ|-;p
z=@hI@(aZW7PBE)|#R_No-<T%a69v!EEf#n#F#A&rTqUF^P7ha0GbXgcdD2OO`(VK$
z#vR45@(Lp}6>)sO@7ot};;c>s8LUh5xs+)CXB<Ydw`?%KbhvUa1J*lCzP<@R;-6ZM
zhi97}53RzdbEV4?;j0eQ50~L(=g6$baMgyL$t-;N)RI{+Jd-|1H3gS{6V!5pRj4c%
zhv3@5&?6o&Z{9@20K63PiN*>JTz0+N1HY_ce{T&tHA~oZz}f}W7uDdLyss)vF!?pL
zO?8-}l_9AX&dB^Qa1I`$di$^pw)#Ssase*V_c&4j|E)gxlNuhazO*A7=BU42xeGpP
zmZX{qXHx&+BZV)@58C9zD*bOPN#F&}h@w<jpm3|W8RG%1U}@V^SaDzT_a@lbd%ht9
zJ}D8Ynh$>{|2LEe8?9?Uc?Q3|`}AZMY<Q;Lniww+9C(iZsfYJ<lzz{M@l>0p)H@A+
zeZFw<8r+)QdM6J4morf!2Pahv=|{rd2ANF!@Wc--$sqW#SkLe|IQ09iZvk-Szx9se
zFfWNumnU4u!Wzy7%jDCrK7g-gzoa|@_l)tAyTF<s`Z}25(dpM(PB0&jndCuO<MP}U
zE7;K7pOOJqP4x(~fD_~BAMS>W=0DuL32*F{qTCOYTG$q7!INSiJ*nW;+ldiMFr)id
z2^yI5@|7tC*v!YSngsS4pTEZor_T7c6X|EwQaZR{b>-a>JK)M?Q)yCocDk9K8t$p$
zi6?;{PRNB4@nf^evUAp$pVKW2ki%O+_KCA_l!UGFU(AP+s;W);Vbe~g0U~|Hy|~Ig
zSnOZC(tn6wn5awcA}nb}w+U1HO<V4O3*=^ke!zYHt)H6UiIif+pRoFNF=rz@bDy_m
z9(K$9LR$?h4F7n%0B3r<yZs8D3$Z1cf{)9rNxgt0w|SeV;RV;3xFWdCH}A>_+-6As
z;3-@{X0l@pKC?pGlMO%8A9W?>d-j`G%ah@}rKrmTu$!&0ZUS-qivQ_%aEg|_SOjtW
zYk{R!_`+4^s4#fTtkARpZjvdy_Xy^c(dPR9d^513!yi7{)SXVuNBc#%V_o2h2Mnj`
z;K`(`b51bDzo4`-Sm)aPZYwx_h|{<NR=t_;Yz}+!>`~2uFMi|})rK!f3JpGkgQXNB
zHDPy&JmqvaL^a%15k90KcrX(dKmMv+9%eqC8=L^YSK2C;f*CKLRZ4<K+_*?3;V+Y^
zEs^lwHoI?^;PboLf}&x4mCVb+aCJ~PNeH|e$xp!rlMe?4hQS8}Y;JPG(|W)E1;8iH
zOH%KJ1zhCii1dy{!MAq9Ox)#feBlq(Uq4S-A%C^;kwl#K(Iej(n3n0nkr?==Q`X-)
z*f^%_dkTE|q+tGQSn8RY^HcccPe%4Qc<+7(DPsN~^f<969&Y$T*G0_#y(Gdnv|yII
zv@^|cpx5u5oA4#Ga@%g$vyn$b9A^C6Q`rlDG<-}V37;eL5F3Vvw^BOJ!Q*$_TZsB`
ztai=y0$fwdsq_u5G5#aY4qFQ_^?ip2CFGY*!W6B|dTTJ%y3{LrIKw=5avfg$6=uQ+
z{}$7<CfdWx3O7DV*kT9QDzRR;-uL<o73^?y(2W)rN(p?tVu|`wbFYbL-vP{T1y<qx
z%ctcJ!=*K0|0du=&-*{Hz`i=o&nMwx_Fx?jSe3%pr5C>b@6<RK9P#$$@jf`De#D&U
zuXa8#`u-M9t+ZYefRlAX;#%N<+7qrKaLF+~!wUFsZ|0Ub9LcP@`xP8|RL7s_59ODp
zKj*?4>K!zS@NF70-#p^@Dc>kfSfKTtSq9v3R8UhJ_G+A@%Yxn6S4IusL*MjABH^O`
z8zv_3T@sha(eO?-ibZSq#rdzQez5$Ss-r!;%X)R&9~SiA^XDFsessIQ2G+PdE#V0V
z-zC3k2d_?Kb`br$B>R69TJVKQO}Y?x{>ZPF+OR_!Lvl1sPu^`H1}A*aolJnaZ@r<F
zfF0{BtTW*yFRyAY_?r4aX)Y`$XnBVlF1eh1<ptasxA!0&yw3d1w;aA+xcvGcJawpu
zwjM6N?ryVXf&N>%UyT@_IO<gnZNnW}X~P|`epdJ2U+~)6W@;Dg`zteV9Uk&%;`|Ix
zScE&y!Yse+3I^faS-$ppSV@4iejZk>Oe*>c8;q-aEx<Q3Ep(>fm#s&sf5EQwA4G;>
zYBrmW-|+s?<oOZ!lb4|SKR9`9ySooI3-Vzg#@D9AR=0k*L{A}&7@uFMpS=AZ4q%8e
zB*tgcfd!fm@QvFB^K@{%fYfp;to1ItfF7QYrA}&xWBly}j>6e-x(^%S!Q_(lWAJv#
z<mYC%FYh`vKkORIQ&R^^i3N5L^Mz!k<vXuovM_b^%kZ84b2lpCgim1%SK<F`e*S(1
z560h0lZN*s@DII!Q$nK+W#OH>R{~zb+V2eKm0-i6Q&#z~v{h_@3S7oB%}@Y)95xZq
zfi+W^{$#;HHZkkE@W0NFPjg_INMkP(czj|<a0+Z69U*ZC9$I{LF%2%@Gw85|f9Fgb
zj)Q-U1%=wfm%`#&;^DmIn+*5ip!w?jaF|-zdw`g49VoHYjD*Gelns61sN#@IL2%iW
zGn+rGr6w{H3|oy!6@<d%zckx@;e`}a+c5Z_3&mZ3m}}3)bz;5PSA9t50bJp(R+T`+
znck5<gdGgoB{Jb<jh*_6u*5On?gE&^)#{}@OrujMoeh&YIK@iAf)j<5PvQBciFpaQ
z^v7pUV!b-EYoYrRyf5%0zKF#7Y34SYFf3`iSs4o#x841I3ceRVd6}4hN@+MopM(V&
z&YULZpErhl?y<lEUydvU!B;yex{kmZ;$p@=u#(H65;}PF;Hi^-@SQ?loqh1|1zS2N
z*j!jfgbMbNRqk_!y}dq1Qo!^(9Oa4m=z=(n?r(GShis>M?1*?yR`D8~G9fE#1{XLD
zxK6=Z6W`k{;mV(GonPU_9BK(8cng0SD*`rsf3=smUe}w422rrasZ+Oz`S6HeB&|DK
zqE4FO4J&_bsPusC8kf0<`;q^qV0Hxl61#etC?EXK<Jv<okImLgqI}}WQicZ1P(Qp1
z>xlA}GVluc0vmAV%M`+AqdGQ9;6Fv5X)9p*_LS^Wc!8=vrXDt{IiQ>bzrB2GunBHZ
z7}`vRcjfCFb;2)q*)@j1`|Pu)-owwT_-&rR>}=0$24LZU$_t)w2I<%`vA(ZXavpmK
zKm0R!ZwfZw#oy!#2T*Sc&%iY=zT4b~3-11FT!O#u%~ElIDbFA9TY*U;bhjK~7kZ}M
z8*p;e?r}@_gcoP`ChWD+6l4we_w#CzVm%cUYj0};_pS&tk;A<2*$>@;d+_U2Vtt><
z)VZYxGx}dQ+6#M)@T(faj>THetT1b$^&u5lfyv-E8$4io_^m3;DQ*6cSpPXBl;q06
z7a7gOi1lBWn4YRUtXpN*b`h>;To#ambA_#fgy2_+@#E4kgNid9v7X;Lc=GL4IN_o7
zCt^Js>eOi~3aioH)g#uc$0O8K1>s$DmPZv}iH`ragb06k&L!5z6E8NKPQkHbYFxzn
zc!fOC_B4Ex<MvBp{lDIIQ1t|SLgcy=vHtemF4<y(&u^-4p(ToSS#XXYfsZ#_uCswZ
zxHJZ_!1sU1%G`yu{Lb0Z!@;K9l=t8cs}3ecSb$b2+zSq2xwy3lHs)he@qsPIJD=`@
z)#Ofo34-+n&IM7y>4$eFg}`aOEf;9u(dT>FW8k+P985c5@zZltv9O_ZRU;|fadzD%
z4K5j{d-~@N;(A?t8E}q3w(?(?X>h1A4?g0&asC&aQd)HHIjo=kX!JMSm|aIw2Cw_~
zzgdFSc|#k^VV?+N>lOHIRPv2_SeT(m=^K2z-JG@oruZwkIR~>my%*C8_pv`1nSkqp
z#5LRD(HXM9Nw{rDW$YsyGw!3<3#X0^7<`6TYsoe~!A36gbEEK!x6ZHM!itebR$pO-
zniY!{_?@-O+B|$d`h-F~e3yx*d;wlEO<sQui<ygx{DPa`{H!a6sW&rT{|BcQnwgit
zzE3Kyk(6Tp$EbII0xUUP7(@ZPS6Q0H!OsU{Nw$&Rnk!5$44w-XX#5Aej&P@k!e4K*
z2(QETj;g-?u-x&=4dVRfzH0-%a9>A?{R$Dk%2MkNTP2_4Uxk&QzuoT!hp{j{n}aQa
zme(9$mA|>>-{I35$#VAaK8=tu;(oPnw(*+76jF@oQ}CLXyYC&?$Z?Zl7#7LTzoQR_
z+I#hnz=eE9wYT6$E=G!dFvEkWG<A5<XL3(Jtg5g4OBD{+f9u~3_pDl9I{_a&Xh$^&
zrw1pjvcU`oqar3?zqr?ZM__8fb(Kk&cGvtv7FfFA$Pkg=M_pVpyWtZ&gSyLbk&fcZ
z9{9ub_7qV*;`_~eDd2Jm?VJsG_x+#;RB(!eC*Mw#_xq2j20LJWk55aaurU2=nw_vR
z>mOHInBzeA;)W^aBLfOTdkCLdi2DOC{&0T70PD5y?rMbfH?Nbj!S658xxR&YOzwto
z!%sxFj}^f8M@YNQ!V8p}ZG~{J&N)qCm}>t*K@QBnSBK#;Tvs}+nG3%md7LH*Z{GeW
zoCfC_7v7eJw};y%(_!<D;cp7?k@48Pa5%B`u!Rate>YGq60UH*v3e7}5-5Af2ab8{
z=BNiV37&8Ag{j>N{+PmY+Eal}u*cI*cMEv!So=8_SZ3%SnIk;lpG<E9A9_O5>;ymM
z^m=Uz(+P<vdcd(~6*BL@8u8M5JYk;#K6!K4xAJ~m0PL>)o6i8|ZGNB?2vet5_!z@m
zQ8N|^a0oB1M#PVP<4S@#H`Mm(!JoUBOS9l?uHCEZ@E!6aPC4+k_j5^_u=r`^twOju
zGsRO8KDYNqZ87}hs`^J2*krD}y8$*{-7dQhcght#X@rAk2lQ{ioI9o%J75`6PjN|j
za?fCYCrow!OpFZ7N+Uf#0#m>2a20_SV+8ZZ;KbjV$Hid2A)E8xV26*wWJ2&WI=!EB
z@Z8FtB4N0>JIZ4fj<QP+=ZF2v9$r}^;$}{l&clOK70p|);p2bI-0)Y|H2-ZlT(_r%
z2ex79-$Pl3`?)q8%nWmSq&%U42hQaR9EGXxd}gGBb+<W~7~q%uW&H<Xi^k<QjBs1{
zq5%u+Ogb4r2^Sfpj<doZV>xH3;r(QT7F;mRnc!dlnV>z+yUp>y>nE<IZNd^CD;x!2
zYVTtv^RU$W>#IU=Tgd0#3-HxH0q){(*S;$&lkg(_jmwfS$M2PdX_%!l@a+wl?OCyY
zAKb-GA*BTK=IB%P!;&=8U0U#S)4g3Su-KDQd0kk=?bY2@_;=;cK4aLwnC4~!ygN20
z#uUy?DcRWw|G6-8)E4$~*`BI`SsS89?O?{MSx;(UsZV`o_lWedXVsp=Pfwhhb%%>w
z-ftDaRPL7cez4*C-mz?0Ok~g50JyEVAn++Xv`eMx3A|J9xI!!}*&Zqs30L#H`W*)|
z4u5!)2w&A+7ziVd@3-_$h9yb7eIj55{bHINc<;^;8E@Dx<n!ZauuP-XiVxhX#Y|TM
z2ggNybb~vC@;|<W|DI*_@PH*dR&;A%X@6reYnaYr=TJTTPGEk{2CiMaZt@OpE+g+W
zg}t@A*xF!wksuc{*ie<e@B@5orc7814!^yhrw^_SI6tWkXQb$qj}XUSQO>;vD>ukq
zn1F@WT9xJCAc@GjIr!<T{)3m`bT|7ei|}}WT>WL3LcF&57hH7nh7UJv{Ulgw15Olq
z#mx(^#}9Ool;igvoS7dE!o?e_yC~t;2ITGx@HIw>n7#1VL$e|jaGBh9IyyMPLh2hO
zY*}zQ<p|8f&s4B(jP|kCcjOqX5@)Be0aqk)=5WI5HUfv{VAlU$vT?(`a{-O>F!@*V
z!t-!uo^ke9Sb;~zS^ys2eyK18TLvfmx(e?y3_3FmEBbsc6NNXP^bd@{Nt&lcuEG9M
zdDVR|_ongR>+tc!HRFCbU-DIeDoiH+M*2P68?_{@4$H98Ecd{VR3+cvf;}ug^t8fq
zN_U^=!?%w!xwXUReLEP<;7Qsqx{Yuc&!5lcuzt!>^0#nqpR$1i%*#DAQv=6xKRD(D
zUx{W3uY;$r_daunMQ;YF6~f^>$2lLuA_Fa3MexFtdoLcrzRyoKq{5T|m3+alp4csm
zbl8z+->WEi>UbefI6NgNb}<eP=p5;bfOSqJzD|SJ_j^@7hK-sEJTu@OF+~Q!Fbx|e
zRX!}-HpAu)7bG1ID1_$>_jY*@$BRDLTLBj;=M*`^-x>V7E8)^N9a?wct}_!_4RDs~
zEn!=@y>yzP5nfO7`f3M{iA$un!w25)dTR#XaFo2=2^XyJ+E~EhF6rMs!QY!p6%Ann
z)zsY2aLeo7bt8DF{m<Dk_@tovpborS{rB=Xe3{zO=N4Qeu6}<Ge(X2OAqCU9^Hwau
z2lH0nOT*#rp`z=s_QcI0GFUS8?nUwnJkQ4}eiX1w&G75pFn!c}>KP;a-u1?h>Vq&}
zd)3QX_=ud26bl@DXs^&am~8QkC_Ah(_I<n+&h1QU<$-U--Ih&<l?J-J1>nF_+$$My
zui4dIBCy0yW6k@p3^VOp8Q4MT=s!33q3%NkCHNmNv#IL;D7x=>D!(`m;7Da9i4Zah
zMUhY$84<Ec_70JhP0Q9W5+Sn^5)#QOp(12uOUj5M>nDn2{XXZ<_v?F}ai25qdCol-
z9w?jGXacvTd%f0!V=sDMCGo|d*EjIOMHVe{rtsH@MYCP7&xoG0J{;Te?#&-t)Th^N
zyk@Y|pc?yc*kV}s9*J8#`;yuT`)EqtA?N>Y=kdE8&ihihNe_N;?i5!NoOCHo+5#@O
z%BW3-)1!oH?BOuumszoJ<bCNNM>v3gvrZhGDpX5%5ss*26N`jpM>`taU~lU)y-~37
zH%o&{@axnI<zaA+hBMO@_%>^~%?-Gz@^?}QO#i1+DFAM6Uoj4Yv60_IAiVJM=5Q2z
zp>AW7ADnq9>OnNTI;G)x8Sd@j*p~=fCo4#ugUiC%vr=HiF8{ACu${<b(M<T)x<}O+
z_%_eOsVq2&snF2@R+JL;c?P=;+*h-NX}b4F7Q&z3_x)!Dzqfu-Sq@*O&wH)|zwC^c
zehqKlG-Rp=kEILL)WRC(8Jvo+vCxuy13d23QKJOU9u043gLQ}K_j15RPkXNQ!E>4a
z1+c+Nca?sV_?-kd{&gE1-;{o!2X;}ky}SzFo~F%gfkjRP4s^j9gHKFIJlj0%a3`Gc
zkl`bVUv^vg^a}2%q^9YFTNr-?zJ~SAX2kTvRi@N8uD}*TlKwy8_ny6?*Wj?9pEl3I
z9hmsGhd-KYD=xy=2gJ`2HWvH+VI7vW7mzW6cRTl~Y$(I;$p^-Vjp6QqpjLX=vQs)k
z4Q6jNKDia9v{}?R36Jfj>|}!l9Ap@z;XD2f+MICRhPf9q@HI})-raDlc~smX_>x_F
zoB+(xc3e&pHu1W;OBCi2c3s^KCrXJXiNhg<Tv-BeMEGZZ8TeIEUKlsrOf5Pj3(ql{
z9^iqCTR%Iiz_pd<W*A}p1)othxLkxefeAL)AaFqsW}Rd;rhu1aipEdDMd!-aDB&#;
zwjLI6-J4+hL~G1f-@dTL6Ba+hT$unLtuGEa2e%JnU<cDURx6%|SxdJqM8fgD)MaO2
zjR^mqP*_TU&dUL|tz;Jqfn&GoOpx;*s=TrF3QX6mlWhe@NxN|Pz<cO+(4BxSr$&}s
zVJ~T>dQ~`-=C;LI*zLo%hkM|2hggnT!%x$wEd^n&#UBq$;NxdjrKsV*_bvzO!NFg~
z=QhGyYKp@(;pbLqr>Bs=&vzKOD8p2m!OS!8A5OMfC0JnL_08|FQgUggH0<#!^~4yw
zuoAd>1P=7>sThD~viJwY;EsUjenaq9$GO9zaMPEcGre%RbOM_oymz5GkCcBoV;8qQ
zFvI>uzIHgKyfbdn3eU^YMDr_rLw;0t8Xj#I>?YSADPvmw0-r66)FI`!M~5?W0M@s%
z`1A|5q%sh!g74%nHU5PM`E*;V;Y#UdLrQ$!%iF(P$cBF&NDAKshX;IQ&4E1{U0FzZ
zz4<8H#1AfLOAX+Fmp?W>_krzfYyL37v?dQEj9~ZL$T3o$i^Mu34Pm<X1(xLaNzMbJ
za&Y<YPq8ep-r{uEG5C~aITts)R<?YY754mP(n!j8q*3129q`SKa)zXQpPD*%e-liv
zRo_g?cl5XFNm_XNLG;jZSgxA2nG!C@X-g&LS*^dyV*}j8St6(nCz@?NwQPy?d>`k&
z>A>4HOP5yQs?y%`#xS)j<>%k92`lqHQ+PuBao_@6@3vTE3wte0+RVTWmqag;@>(5z
zd-E(jbdqJs1s+^z9UFs{R@F*e;hXjsZ~uhpj*BYzz%mzdFAT$V53H7bVXlbricz@e
zrO4J>aJ|RQ)Gx4Cv}sc~yu??2d;m_dS3G?e7JNF&-$T-mp4%1=Q)+R$^}#kg(gKfR
z+G0h$cK9Nj?Qk|MZ(|%o;x0+wVmsi3kE+kf^_Npid)naM<B4<R{!X3~xw#BCEys6|
zxTuS{$|~IAG|lrJp8d&h!dQ;?z3ap4<o;^x^jMhSo2o~(hhR1i_Pu<t>Z{!cKEXq@
z%A@@7WWV3#ez<Xw?ym&=YrnZ!CmduWQ7i?kN1E%9^j6yk^>yKUe-4Va!G&)(GU~%o
z8{;mL_<(^=^%a=LyFHp*kK&=`hRbjmrNY+{IOs4VTLe5~8@xIRXV!i-y9IwVP{^Ey
z-@L9Ije&UwLu>!Q_f2o^y+e+_*H-=y=B?RXmji$3<LRS9dD-7NM*9T*Dqbc?%G*De
zbnch%HU|bZMtJ(QwQU(ZBRep?6&5-yJ6R1=rbsce!>{9ii&nu*o8C}y!xw^sn|oma
zPQKj&@b=SEOg$t%OwlL^&$n(#9)MT*>?cHFiNcDnU*OIS2ag_tudh1)nuZIcl1yaa
zn>@@?Q*gF^*t#tIXKt+OH*8Qa%cBC{+8seP5BnbLc2$Fic1!M{eu?)#k*c?KVbS<@
zQ!03}_F%g)thO>ucL2VY`m~V5Rqhzpi^5e=*=q){$BVz872wNCI|nr2>(v(bl;FQ+
zJHoW!SPn5h4R~u|h&{P}&&TMmns7ndHF{OJ>%QGtLzp}6`vj@)D(ls|jo`l1Ut<(t
zG3C4YR&dg^g8LD;UVGZv26hRNVwZ+9Hocv9g8g2{E*^x>RInAEgG~jm-zU#U^yj3s
zCtN@=a7`HArmnEy1t-dX+_N8Unb;n94VHMtN4*Dbo<AcO0PkvM$|L!4iC((y2JC%4
z$C<Q0^V+TQ5%7FuEE5}S|0J{FF8uWQr~gR)cMtyzjfdGES0^yRQqSKo-iK+=Q~1!p
zFXE`09>7+T-?`{un!Y~6CvZ>-?+R(3?m4n=%Z1C1Y{($(Q$NpaauGRRQ978kPoBmi
z#>Mc?LXLf_@RP6&!>{24Qw<tYeihEjrd7dL()JdR_USAgi%>nxIezLkX`ePGsE;(j
z-Gy7e{DMtg|1I>vKhEeSllpC}XLj)`yleMfB~pKk3?!Gn!z}vByrjMk^jnpT!5c@}
z>q&iYGmuu8g&ALnKJJ2buiGsDf{Qq)v`Kq(&_g!tAN=7K^Zr&iS=U-=1?H$7>G%k{
z7s@nIzry#Y?wRNHaP1NE8=GLUkxG*faO{>N+qM!vtKabw7SwXR#SCw4yi@rK&b8Or
z&IwP3M5h+P-#KkQa=})fM#{yoP0le>0r*3-8f7MYU(Kq0FT5#==1CUZ#&*nH9FF<#
z-}N-Obxn;;0@iu+^1uW5kFrp@EX*hxJ9!&US31O@0DCiN#@>O0J}_sf!H?O*-EYFe
zL(JAE;Y%OJ*uvqZFZ1L2u;0z>?o051^iP}9aF3eF)hn>wrKSl>IDJ{%+!Kzge)HHG
zHoiSX=?!o3$~fo*ZyqTgIuBFY$4@!K+fLfvxB$CE`T2OjE6J-WR`A<Y{TXlAjxlr6
z8t$bz?B@?B(w}cMh7axKmJEay44B+a;bXK^RX5=Sf9{H&gw=fCOGUy=Cl7UNz^lo5
z)p4-)a(1i?EXQJVBoQ{YP?VN~lP;^heF%?mKUolg7uTkaX2O(_GHD0krR?r^PvHTJ
zI5Te8?#OwWLU^^8my!pj-fdJ{4j+m%Fk7&|`pq457vI94-?mWvg^ltT|9*gnc2ZT1
z!7Z1J-CAHZOJDn+aMCH&f88*R6}|E>tkOPP(hF;Q`v3d}Q}7Nc48d(ITN*yY{AxFr
zhvDg!YZt!2&2+wD6Y!bw+ak?y_l;L8(=hYbrS=w>{&wE=1(LpZ<#r`}k9BBu3Fhpx
zm8yo#tvYT{Rp5P}@Yn5Su&4A{Wor20n!>Acc=w`d3j=&YL)iBT{G;Dbg$ceTe1kg|
z=J|5Il^u=_JM%dS-q&>X1Q*Qd@hUI{9^2yaaSz<&$!~oZ&Px3qE(rfR<hwB*HZYuE
z5rb8``$i&Rr%30vgYcT;{_xxIdbzckH2gc~meY0EKDnP&7Cy@Oneiq(CEM{p89pa>
zv&k3Ue4u)V8eH|X!~GIWx2^1<F8t@-ZasJSHSb;veYobc%Yp}7c!~FiDID!s)^!ff
zJajwV9B#d`digvYL~%pJ9u|3`Y-$g`u>1AH0lvu8l64l&j~@Bw12^rU3$=#xoHR@Q
z;09-HVO#ipy^3NGoW&GIV+t>w%vlbG*QM&7nZX-(WrRh*X4n2k8o=jIQY%HlblyiK
z4B@k}YmM=6zlHraEqKk*;`%+f;ntv~E-V$UpZo-N*4!Yc28VV(J)H~R4^;T34%ZZ9
z4;I1M-z?uK!bdaLlZ#=liF=O6VVC)Tdn)1ZsX`SQctectP!%jwH$EW?3!c_IR}a%T
zuQW)&11YHjAK(g8XVxRIS4o`oXIQYub6yng^ceZw5A#hwNjeCtGz|KW!e42h`R;|w
zMMY$Oz^ijZ+`=%=l2Gjoys2<#nGepPaSND*Ra~|`+6_~wyV5SfaSil=oNyXNQSCo?
z^0bT~H#}2ZptIpM)^D8>qh^Kg?D$2y5&ltRp1T9?Rrv4j7Wk!}=1oR8MB{+&R#+t1
zTa*c|92e<hgO9$kW}tyxQyt?t;Ab^AifG}71rEFTVZAZk3rpts{-@FwCjj^Uac5bE
z1(Vx$iNa3(x^r`|#ubXsV(@Uq#l+w6<Oxdqqi~QYkKrgBEoJms7M|dc{`VbzeB8ud
z1>T$TxuhGWm%aa44R(#0G4F-r!_)2c;5vbq(jQ@G?rI(b`0I4zU>iI({4U1~*23St
z-h-7wcGo+?MKzlel3?$s{rVT-bo%QPZg8;X(xNZCz0mcJ2YiZRQ*a<0z3r{09o){*
zvls#!y?ONO47|uR8Wah8$qP9t!_IF{yWWK<otL+qfS<%WE~db{3*J56PmX`nA(Re>
zaYbo~!p}3mKhJ?zcjRy01^-&QD3lLd-*(UEfw%F7J}-eQkI<=ZhW&n*4!?p6f7MRX
zz@ow}E;aDNm~!Z>8QMF}uPF_%;pp#ub1;MLAAxo_SIF#LAN=Uzx6?hawj-reKYXTk
zWpDu23Uxox3F|&eN*;n&?(UfEf`7Rb@A(PS7z8ym!<KW}gA;J|p*<H`;qM2Xo#)}s
zJGV6J;2P`o-GAU)$Ay2@!xGy$pRK|V6~kMr;joE(r*&AjX0O*<_%n0k+~!KGXR!^@
ze+fT`HO;4mH<j=#z9MlkAIv1+eaF04R}su$LN&J?e#Ex*axr}19M4rQSXwq;G84Y}
zWB)H6nAutBa~9ktqj_a7d{-yDEDipByID#YKB3KJ`2ZF$nXEnpJGJq4_`@~l8*`-L
zdG##cKscUxO5!-YF>Aok4=z?Wn^A@}W^Ddlf-ju8>Zb+wYS$M#!xqch)4DMGLuE4;
zSi;2J*96XHOl2{L+ZQCJ%;AsD%&#oqH}NJu_ORWUg_jomPljRgENrFO!l46GaUJq@
zgWtUrcrFF=|KQK`hI6eVjgG(<dNf4+;p`7(OhRyy{HI4j@F8FJ(!KCMH_8LyaNf%^
zZ~rqzd2{hpNq}W<<~ja?`-jt8@5BG?yBGHco)kGQk^^(oJN{P%vy3sOKZL#dY?@19
zW!;_TkKpQ^QbHy0j_=>wlHhsvL)7{3PV=eo6!`Qjdh0wmt*MmaF6=Z;Czk<V(=C4$
z2hSBh)w&O>@7>OI1@3%QvM&Li;bH8#3djAH(Ts#I6_+HQgugGD><xv7%d-tMVTw!Q
z|6PHTj$V1d3n#SLG<(AHI~+{;;SpM|yDspFMUlsgC~w#Ei`~w^<po=8mSD{+s-xy`
z(QN(GR=E0}A?qpFCM4al4c<^w6{H1k3BG&m8SE^#%UT6ydhM`S0P7d@3Ch78zBDRf
z@E%_cYDw5AvSal+{J^e{RSahH{Ac9~-}rfIUXUEWQprx*o1(xKYJT{Q?a-yu@T0oG
zZyfLu>of^tIHQmvX$L&3yNO2?rkx4*VT5~bSAHVxpVxc#1N3lp=<eFXu>QX%bQ@s)
zjosHsd-{!O!GRL~^6dINX>W_XZz?aDV1D|TM7}ue{#W$hANbbH-9%pam0^AFH2k(o
z#(=cv{cm_BreM0dpY^1@=hLoW8igNaMg(!fGVD9ge}j9kOD{6R>W`kKJ%`<<p6GGI
z9nS@p3gChq{W=!-H;qB@1Nbbxp)@;eey-Cb9nKzmT0^eC*!63B4D7G_@bDh^36<Z)
zXt=r$D<I(DR2uCY@Y7r64&?kw+5W$7!hFr!XGwqaCG74~Ke*Ru#%>?1LMK4u3(sDT
z`9#hyF;MvZ0<8XeF@}6TsaVc%H~72#X)Y1C*i*Pd0j?=>@{)ojw*^`&!8#us*N(wL
z5=(N@aA!7axdN<bnVon9PN^z7a0Gr;!0#gl-^u#>gFOGyO1GWju$#GsyAte5acl2i
zW8{ZSZ;&=zDOT0I1aA;mWH5p~?l7%3z=t`<?QCG~CkN9T;o8vC(@yX=T50Jb*mla3
z{Q|tjR`=@*IOxpCBOh3jOWr$$q#qe*xdOi`(%?vgot*ScLg9G5y9;sf$~m=dq<ro#
zO-oLIS?yn@+=eBd*&XtSCFgI{k^XDS;7m^dT(`8WmkR6f_TIS&KNzWh_W-7BZkKe2
z`9zLsKY@K?b}Ai(dA`${7sGw#E2GlzUzgDDuVE!ul?VGs`Y9UYH?WR8ud)c-^&)hb
z^j9k^-k+J_<#*5MNqxMwN6nvw9Di?r0_m?T#NCck!*_bZH-CnW)#ScxgsrD&W52<5
zPR0p;jPU+a%yh#KSSXBJW)W@<>x-I!g)4-A|A5PyIo5x{l49rezQd|t?|G5_&Hr<-
z`BQjDo?9U4zsjcs*YjZs@xOFy@B!Z~3GwiLUpvVSXkT{MXG`CMjp?SU=wWBA8}rxU
zw)2f*TVc&docC_RIcN#l;Ogwo18(pP-}MpFUvbD<wY$UhRNF5Iz^7AJ&YHr3OT70;
z|3u+>jouvA8Y|$FfERl9zt@1}s`X+I!^-*DPFnEO=^-u!SYiK3emQuy!6S<FSDZ9e
z?~lR%j!?6c_VOGxhlK$AO8cFn9(<HLbX^dB_~CRD>7RlHRln?lKV(ORn8B{$9J~2p
zqk|=hF7WR29qSzM<DdyWSJ+2JiBkv`KN*zu9Bxc|EH4IE#GjZhfZNMi_esJ+nCAZg
z=MRQzk^8gle9=`8KiPHbt^yp`-S+bnY^AtXss`uw-4ySIb7%LS(1Bk@RhTcq)%Ww9
zj9?zw^BIe<2~$S_d0v~QgUV^D(EhzN>$HWHzwD>j3?FBU-su3h$1AY1!@DZD<z3;v
zx>1WA@L!gy;R~=+=lQW+@XraIjlS?*<}G5}utDbUCw?UTzq>C5h@akQ4upl&#VGf{
zLR<b@Bl+9@w4p=?PB?d$KL*a|F<;e!jXb1IC&Av?<IjCzSAj{tbT~8LbIBVHD9-1~
zfFC*k4)KQ{COIhP!Jn>OZn_GaGcMkE2FsnkG!zAU&lKmC!hdp?gd$<#t`OaFSijD<
zC=NdHL)r5UOe;LU6boOWnR!(MbG(^i%!DIZiwBxuEeAWJM{t(FdBKlx1(m7G3poG4
zQH@^M>SsgIbJ#O#MCuEi^F_*_3HCC5X*voYIr<>!1KfJX|HMyn{IgBcBk-qrOXpuO
zUx0JqFuWwJ`usQC)p0t04&GQQ(!Bylj23;Fg`4{MxG7M70~At!QC4F<z;=rg4SXeb
z{wM`pHOAS_2=800vg3!hEVKOC0V~Wg=JLXI>{?;m@IqF5=W*EUr9qAWOnY)CrxGma
z81QQ^eDvR<m;pRV8ObURy9~(q>cM;N*I7!!B?+vNwlI}cUyvO9ufm|y8a|Zk#;gpp
z^i!+`!5OW04r{{PPY$aD!U?{+cI&}T@}46}u!oJhnhE?i;E`}59RE!ClNC&xs%ZEM
zJ}O|h;s`H>I;E7ug$pMxdyu$;u>Eh?(KzA$W!NxUJ#P-yVc=MdhQlr%EV6xr&&!m=
znFzZuVk<;=Gj}%)Y2SNfjT0}y@jt8%WWl#|YzBQ{_T5T8PvCk^w%<2lf$_HFLU{ec
zPT3o9XlB{|GWc#;pnVQ(_193p8h-NpYF;+1$~7Qg3%_#=(Rd46NQIqghTXgTVyfYH
zy~$5M!X=OQJZ^)Xr_|beNqR$;=~j5h<R|Yw`0%uoZ!a7#elvL(_Ih%vsvGW$*`+W7
z3v*?w55S^yZD%IoxY5YyFYuOT7n*4}SYnXlJ1pVDbKnomPW#4Y1TIa&P#RW|*fu!{
zKk@ciScBJDr^P4WMYi_}ROo;E8zNPg;q(6m+S9?^lXg){@QDkev<z^F*K;<ix9D$t
zrw*{d$(g}c6mV|aDPK0&k%ilH8|=`{mdXP^4;_EG6|O62SLB1+T_jc5VYwgo9QMHn
zfBp;K0lV@W(}}=7c_&zT;N)-~F$s7~YO@75oUwPbQxZ1p)cYX-2fusvR}Stvx8=Yd
z*u_lcxFSqLeP2lme)}KGS#>zA-|(gcod5GXy#{R6o5CyyKPxOhXaFx)Xq(Ew5e(7Y
zr{GVqcSnxH;v4P%nZq8Tio#0prW%C@mayyLu;P=jL%`IyE1b5aT}c(*=-eK45zcAZ
z-mC+^*q>8G##7QSikP)wGrzmWmtYf}->IkJ6j#@)LGU-l+asr7T~15B5SYHK)zt##
zIxejm0f(2KDK>*g^+hKm;fl=}@@HV#Tn46iScF9)%ogV6+FX(VJ1DwuJqL&0t6O^v
zb7+U8I>IJWjTuj1^&8cK7hx-tyoN$J{DzXND{O93>{<lBNWHq~4bMAWDtiZSjPVHd
zfPckBSk%Id#d(ZZ;CsFLkGo(#pXd}{I91G5vxlV5t`i7^MKUGhf51(L6N|3G@_S8X
z#^Dg}7P&BZoO!f`2IFnlL|G$$_>mEZCmo!q;W~63zRCZ3n2h(;X7pbK!Mql0*Z07S
zLxIP_;m6-E?>qrVdw3azz+VSis#RgXPY;G7VE!0(zl(6|p9=~k{$zU~w>x~BGT{S>
ziw4q1-hzMc7)T-4i~1WN9sy6-Q3*!F;h)5>q`=+mTty^3%e4aDG+5F@UM>#aUnm_-
zzR!jFD>IVx*gjIS3|?eAlXwpnG4=MZhdH_R_K@_AJhXd0z=Jie&r)GJ>9b`&VXt=P
zx_DT+n%;5}ZkgDxcOM>M8VQ<*mni8INcyKskwSmq?|*jlX2CR99ko{B8je+m4A{M%
zb#4t-8fTf!gKxw&$!^8>*|WP}UU>p5F@z2?!F21b8=u3K4=26EVIRM5T)8mYr{bLw
zutVMN$3-v)_pw`=@WeS*zkK+-#&$7n*!Axos#2JlvBu95K30AyilnbQ`)HRnTx)QH
ztpdK1e?|E$toKyd@+JJ&+2*Gce1h-D*jt!uNS4tZK6j&g{~Oq4U7*+lZtfW>ZGiP&
z46X*lMhRPwzlT}YJ2FDy)H(L%7Pv|7c|#;jp_Q|(88(*4WVr*&+rAX|3NyIelum>n
zFDbk9!)J1{YcgPoRu^%$cbLzcd2&Amj_LX_$qxU0T0U_f<|&_D-v?*Z7QRn_6D6Eq
ziNG@oWiI4=4Hqt`NWxcs=ctnFHO7prNx?UE7suX(8B=DM)nJ~yG}j22Pr|lE9qzMA
z-yQ{vQJyu{hmVJZ&5+O2pxCqR6zsq0M%;DyROpu!bGW$P;Ubw|Iq#xwWC=U(bYLa(
zE9dv<4mrSQ{p4qTVTu=J$!Fo{WZ48VzjAH3YL6Ri5Wm%(Jl`<3J%jFW`?k%MUhvt?
z67#{Z-C+B@^RR1Ce10fgDBXPQ0^H%5b|eb^n-RnA2&>nv{JITi-wClN^EJ!;44WRp
z4_XuyY~iyR&TrC5dg~+K?clOSca2;)L3*az3=Vf}qJ9d?r;Ip|`5TjiUAK$jz-{r0
zhH!+c@X1ox?fA_fr{Paw5}j3WU+X~13Ap=nm)bjcfx1~q4c==x*xm?pa=LRVz+)-G
zk<G9xuf;n>xa6+Xj&68g=W^;%xaHEdwjMY)d-S*r%r$n?Y!Lpv;Lm*s4)$tc8HVpC
zJJgW!uWQ_Q|0nEq{a>00ydJUBbP_h&`2MFToHTmKbp;Np(W@1NS#G-vt-<2kcQOgX
zd3@orTWfH>jMND}cv7M64->2?qxprTANe(LR~U}(cvHFyK4T!DvmbW4GA}L$cb|$W
z3L^2w3}Z51#WSVzHvrb8kBlduS8$V8ZZ3ShM7x4K4->C_vrpj7V{S{ju-3fNqfVG&
zN}0z5RzC9ISUYS;8(C%rYo1%$`Wyap|NK{yzdrg8PS3$2U()xTgBPnGI&Y}O{>!d6
zbxD1^@?Eij686$`kh}`-;XOJj3D;5CnvwGBto`wz1nlm*dp;b_wW>Bb4O>UBw~+cv
z=_In<7}gBC^(zj(!8%1z0#og(Vk7g56;i&cFJMPQ>MBzIo+VsptAIOZo9>bNC#o_U
zUI`C=b~uv@k3Dgr+VdX2e=uE>djvam{dg?^f4;OTmJK^v)R-v{uim63^OZi0a;!>l
zlR(4@ssE0d>@UpV8_#HaNc~?jyyI#C$4Zv+lk^chenGA<W0c4Wx&DaCwCqLr=4g+4
zGHjsPts4lxU{L0dg)e+pqYH+G4DU6N`hWe9TwFN3mu)Sb)c;h^Je^3`{cFa|Z8#%6
z&Mpn!;6~YS9d<LO<bD9R%@|y`30oXpc$^LI<H}Pb^?g^owQUZ(Szj|Q1a6o(>HP}s
z)J}H20!zLw6nhPSJ|+E%v=`mlDatJ{HE+OOA9(ui`f4jIu*fw;+J{KniETr0TCC|y
z(mp72X*CbSy?<1nlJq|X_n%va+2eh}NP9rJCvwj!EPb4{gQTB->2s8^4*h?jY#wP3
zvP8P(w!+1R!uLt~v2QQ#?1SU$lzmD0noiiNDFSctkUHlAw?3R1SAjLhl$6iFd+w=c
zsKV^YhYyqfp=@4I$p*f~e0Zx3Y`i~U*%nrK&}UB4S7bPC^@JUMe3T^f!()0?AG}~b
zb>4o`zN8twICTw9*te~iv@hYg8yN%On%xByq&`q+%<|oVKXxYck@|9hS@BB@eDwTi
zfIhtcsgz?f99CLqauPP;4CYORk8m@uYrq>t{BkqlYRdn5kHaI1Z|xt$FAg8|SAm1;
z%4VLyUL{+N<=`D5t4|8y%yOgEV{oSb??W%)#P+>CWPbYR@ZsrK@X90CtE9d=oD%h|
zfq9H%PLuZFw56-~d${P&)#ZcmdliR@7FcV6HlG(B_x~i;4)04;J;e{N=Cr@;gVTzF
zztX}7-`kE4z#qa(Lg?W%N=uJ1*hAjcVgoD|9=87{{A4tZY9kyi7gYKSzIaHle+A=-
z7cP(8=HZUwXF?Q+huhx|rLM>Lq0N}$FXHo?-^y=-S--L;k@1Js_Cm+K@CLEx?hCMU
zT|2KZ{3iTGA&HNEEAKFb4OEZZBJmTRpCgUnyaJsD5+9(dln;V0byYqj@f5d#zrk>y
z=ENY0-}8K(n-5><Qz<9$=T%?r3*dcUkL#21&|p$^WIG)3AaWlWFFp7@sM-muWo_{x
z_v>=8&1@9@CaI${3!jpoVfg{`sT+=w^SSA?%F#67eHKG#^$h%H|KtKK>|0XxYZ>l4
znXak>yI*PjK*ndAFTSDBgSRwU{70T&@QA`pKFqpbsh-?VSNWMI1#tNmhRvH0-<if^
z_8IQ&>K`ESF<oVrFC=|K#V!)>%=!0z(+7<AfBP(uIKRxUKpHru;(X0E#Mcvz7B9f9
z`vxaD;0Jd5j=93gELwx4KcTXm{(K#_(QVi)1e?ac<PC#UL%Y%sz=09A>e(=hsZ}E>
ze<}8Yx3l0M&-c*F!~74PDzw46)728H@REjeSSxI(wx^Z6Z;=mJdpZlh;%ZqS^((RI
z#oP>R^`Lmd6do_MyhGE7@v73<?RM}Z7lxiq@N$aN=CiPSN1-P#tUxbt@FIM5+2rLe
zI8$`7(HmCm?HN*p#g4w6zXnG>^c7Tq7ei&0g5ZMDLo#}>_HFuex8QvfEde@k?tT7^
zWIQ&x>sYoM>~Wkzl#JJ|)V57sfaiN!x{~08@mwEY_(*>KYC4SFN?&`!GdY2o8Ssk)
zW>tSUr^v1)55B6G8gUi&VPoYifGu)0A4I_vysOG(@V<v1M<ZY{yU@W(crS$z!!uZK
z<7JvUxGp|J|0%rkO~>d1+>@f|Pzf)FX#}*x_O9=8E8ucrS;0>D`>uG&T9}(cTDKqe
z{I}`yJNR~qVA=p|@G2*&6K)I_uKNL3wX=4%!{Tmx?WW<2tEc|W!_q_25r1H(;&O#K
z_!5&w-(Oga*YMPaCaf0@w56iN`_O6T7m1Yc3;YiW6@1t?fS(R#^-Eu7hVQ70<!^!$
zR>~i-z{BNBhquCNy;Qpnz+b-%ZX)R~TMNA>?`QvpXWwClTSQIR6kz!{VNQ}>dOEC1
z5mwfj&18e|C+%bEa8rZu1S_07)Nxw_{?Fn+&t0&_aoS-s`1LWPwVm*r2Pd#R1Mk<r
zvftbdZ<n%rZVzu%InlxgTP$aoIKrG&n~a6w|7HereP9b8{b4~kYEsz14^~)VauI{?
zGB{=4gysBB{t<zr6<%wG!{2B(2S~!hQUB7C;pCGCXvJa0MdK5x@am88SZTOC*zZCn
zoVD`1_XxcCbU*83c(Yf5ts)%Aye9t)_PksASRSs^cKlHQw~k&ss0Pa&i`ZHYuWj-0
zK0(qC|1Et9n@9_<Yr|bPPtZ2PM|^p2X~0QmUKcjO2cPvYpMqUENBcVAfp?9@`mnsU
zO%QqC|DiKr*c9fwSJX+?17wbyx){O1+m2otgSj?t`C|o7ct^A>!U12q{LSHE!JXb@
zJ;LRU*J<qGAzJ$}vYw;gwAj-Sz7@SAS_M8dZn<g!7yR>}vxNP;y_<~TUWO7ob2!$Z
zRY@0a-Y`<^0#k_dHfh3iY&=`YdKlwVmz9)Z{~(j+;qbi6f2ZW&xC{|fvR>!z*4VEq
zaPNER;5ayO_a1(do?o9?I02r1_&$%EuQikZ)P49)mBH*u*eHo&`2ifqI)BLkcG|Ul
z&l9*y?n;#&iC;cn@dEa@Y7L5npBgK~=D}iLHILnfH^+bPBXNfF7SrYM_Rfq#5`W#)
z_v97a6&FHL09$r5zixt?el_nS>zjf<-KA(Gu6lLp6+Hj_!}fl-awlEJJNVb`6DEDI
z!2HJf_ppeRpUVWiL&uz}6<*GtE*OU?J*;a#!X~3((!XGvwbJQcIMQ+9+JEr7lBQ$*
z@LSP6F%-@C{-d<-><C;wdAoZJab0SyvLEonvX|pq5zo9`Ff;>e7wkH~2zOcz9h`&v
z{Z$otV1codX8&NB=UJiL@L8VuM^spUMkN*?sSZD8y3kAq&x-Z<sluBd)p9Yy2mbzv
zFoq3cPpIyI^Ci^UPQ#`La}zjV@AWeyj&LE5_!~Yrz`H=m0dDk4eNNWH+1LHGNrWk1
ztliiRzuQ~Hl?-Q3QSK9l^_&NfzlJ4^Ppy;VZx7sCtArhuIsXd6ztWGU^uiO_)~&l>
zBlG`^`rz}q!u8~QR^HL`b8t0{T^c7m=%G^Z8;;^Tn7|8Xj*MtBwqSgB$?QBkEH7|x
zGZXB1?>@^;_-Zv@3_Cm)S~IZ?ew^K|wG-a*PhFN3zV0z*Edp;Uu-~=?Uilcuc>q@4
z^!O!tK1me3SyFI`-s|X1a58nH%@NqxXZZ*XeDdk(2?bc*h=Gv;ZZulSQi2sVPL@)_
z*S&9wX~6fY4I`J3KM{2zlbY~cP_*PStY=Z~We68X#?#Hi9j8nV8o?nNH0ETzU^A<S
z@>w{TYoj>H|Leh9*PY<D0-vB?uu{lA=F9M3^>fB#z2IJl+LkNutLLAyr{LVofuTrv
zY1{j2qwu?BpVZs%$8XC5q<mF7QVZULPk$O({tC<6Ck-dU--<M~$a=$~w&LG8u+2pw
z{yx}PS*<V+-g?Qr@iW||(k)#Kzi$+O*a3gFwEt5ACp|i&-UXlQne(rLLvKm$YKA|?
z`^&t6eZ=hR$ofN%ur0L>@SQxdR8pU$CgTGd$?-gvD)sP$z5s0}JaBOLPO=`6+A6oU
z3tsZjdG`kHkd@K-3fpsRO(g3P<z^~q2VveGyYUM6jN%urSva~mhq)FGoi(wYf$0+I
z&ye$HtNM7Y!$Y@CqDXxmJ~&;z3O9E?V*d_zQBaheZ$*At@0lU%DeorSb-Mspx1}8+
z@w!4q-XwUolx_=oehWff{mHN=$DfVg;FmXD{fgm_3x@sV`Mp+Nmnem4FCOn2fUm9G
zYx@X0DaYsZzy`}gk?rv5TmQ+8!MW1sCj~!Zzo@4>nFrymdnmH^!mW%QcI5muTJ*1^
zVfMxOBP2fro~C-s!l5cUL!^EA8^OP>3^TqxSJDYzjwyU~0+##o&axYh9zU$215;1;
z9U}R0AnxtDE<D{W)=%2AFgx{ICd8MO3hUrw#UEA7;0W<}lLq+nl2NN2Ty-w}0LhQ6
zU!QN;!?gd+b-yLYKeOBJ3ZH+yl=~94(;8{L09!GhJVo*+JkZ6&mmDvtv6>4f588gb
z42y-`&3X!VnogR8!21TGE@#3kJ8fCQNPMM>|1s>#FqswwJ54`JkAgGnrP^ZQRGF!h
z(eP5sThkOc`9RIQKdj0X(RLr+cIjVAApFFM-7FiPu*ur#1RqJ<7x@&{>hE~x4BIc2
zvzEXu9^vOrVcQAw$Z}X|@;Qq+92GOg`WCLgdgCWqpBa>LwEZ0%{_bfES)V!c@`G6u
z%s-9^Uihsu^Ntp{H@CJ_7fv}QwQm6CjgN>R>oaNWu8a=CcSSn-HDEXI`-`*i<<HTD
zr2lqh{8lsvCtg0eMB=S2Wp><c7#}Ck>5}^~vEDPq0h@{K`D+0`9WL_bC%)3E;|h<6
zZ&}|3JLOX+dc)zj8lIhmjnvc5llVXY-#JZ~&GZY)ML1S4fBqC)apU4oN4V@ARl#Za
zg~QVr^1NOT-9Bms)9jUTw1Erxhv%)~YY#3Kkof0EsTtug|K#t_Zt$>?>iA8##alMS
z1Lk#VbB}>1y461i!+vF~%TaJ{YGQCGoY<KbngH)oDma)0M`_F_M8lFJTl+}<w|DyT
zCc?*sI1ZBj+hzGiP8{sFG2|0z4?LpjB+}sL^t9BZJa#8U_@=;VqaU+K{f||QPOF4X
zBG0sw`fof!^Q{8b-Iq#3>Yt#|prb@PzF*uqBl#cv+W%ypINY=^rj7Ks;&bt?u5k1t
z_Z8CL)~hc(cY%F(Jy)ZL--#&OCcxAQm7E)3iJ>1{iEvAteHAVIXIsVbS1_}fO)Tjz
zj`UfsRlwX;B_q_ZYlzym7I<anld=_D&!>8<xfNy#SfL^P%}h@F;2?bI{`W77h*y|h
zOc{pF&)*JPg1b{j_e{Wy5{3sz|B%4LnmP?Ht}b*>z$daJ1QuY0tj-+Lo=9EZHM|I`
z9rH3E{l%3_@#iQyFh1PQ_m8w6XOs$uH^8Y+Djt#cL*~X_7Y6vAvzZ2Iznj%0ziow$
zmS^Tjdm+`8@4^mu-#KyN89bK9f1ev>&~4jM2zO}T7ZQYPa&@c7c(3$n$o+kAR;Ah2
z3|Ln1+H)D0&6;T>84i(}JTC|TOBW7Hhd*e3jkSX7>_3_$!Pi_hbZlT=htYnL|8;!Y
z!Bn02eKC_l0lD5MpZCY8VYSjB<06<tMXsI!?wgkqA??p2`RBomFq>m{CmAnBhwNow
zgKw-<Yu|<Qf4IqW!L}<RSut>#<YMu5*x<JKc@x-#-KvWRKGB!UVg~Q@{A#%uE(w_!
z(}x#51UQ6Y&J^1_r(oL?S&t6EA-ySQG~tMepO%uaaRn2DHk=@NZcGj?ymeww1>O>n
z_edU|lrF!a3RfuZ->(KA!iK=|u;0ORW9o3r4wDUvaGUd_n?Afs6WntIZe0`De+r(}
zpY@l98w;{a%wg&t76WmZVPe3|5^hYJc_azbjD8Eb0JnXk_1O=*#j+{5!O6DXyF_7+
z{-g#!*!yV2F9DcYtSRI&931jHNeF)ZpZ1mzSagcol?RR*ztRv2`)xSS$_EeguIop^
zv#UPi?C?<4zAe%4#o_)tJK?Vv@)PdC&s>MkFvE03UHVC|6}Jil3!L9)(w`2CzCK>G
z0geew)z5+#9Uqu&gg?yi_2<K3ml6-G;`@-FfqX&%>^wWyy#|{et>r0)!#m3O2H;AY
ztqj%ho=4P;gYdL)VthTELot&|)>}K6r|W%yl~RwM=z|r~gg>{#v4d+94Y2#JLweot
zthe%A@_n!Q@$0^?@JlmZ$9Hhh;;Xnpn6lE2u@(+pJh5vW_K}bou7HnDEB5__(`_%`
zs)R@Fo9*V{DrYT=5;$?ahWj`C{!BP^89Y9to4o>y{Nu|d-&Y+}B)KWN&>oJLnr6WJ
zJK5>}L)?1e#{Lx8nQz1USy<xhnnVJ;Z`E*bFMR(__|t2!UiQ4n7kErG&oBTsZVvl4
z3e(JM|GNM`D;75)_gfX=^oXn%=jMGsOwQ*hy^5cA<NfEFtueVj@8)f@w(!Zqg&}f(
zkIy8=>%)<up+@BX{>?r<b_%Y!x^svIE_LS_ISvo0CY@%0WtW5^RA8^LgM%!vq}f9E
zZrH|h{R1bg&AxhoA8s45SKJQ2y;MlC6Bf6_N*UPrVq@VB7=MH`wgGPF2?=3@r9=E4
zZG?Tl<w?-P+VjVv$^C}%?(6%9`IPi0p45L~LrFF9B{*KO>oR$M3DTRXf5BN>oTPri
z5f#D~|G^&v>hs9+NQ=#<9E9uFhIpr7R>RMxU*Stv<?oHavrjL*BkvPjdd&sq;n>^4
z=i*_Dw2cMJu*`qAwuZqwf@*fJ!@iA@W!GWus0;a<alapSm0Z$>H)h>>Pd=~i+MW(g
zc-#CZS$a6e@~p2ceD9lPAtQX^sQKQbu&ct4)K#3%;vwZSnSbW&XEP?}Uz?@3+y}F%
zo;XO#XBX8QG4g)v-L;Do1Mnrko*`~{A%d#61zxyw=LIXAzakj(5pLbg&%gqg9lE%g
z)Q_f3Nzcjr^O2>TD~<5nYY93kSXFlR*IT$c#UYryAAeCL$V<{Qx>xTb@5dL$zU7ef
z9Xl=f@iTm$?l*TQT)O+R&lfo8((~+oc-U0vWEaevTx?73mwMiBwi`|f^qBk(TUYSb
zw7~aIcw~*iLOgEgKEhWs4vLZT`ScR=G4lTYE5m`GB>#%A!Eht&Xp_4_h38csrDpXG
zj+DzRrG{tt<2Kg9M-QD*+yXPT34N-7pBI__BhR->q)M<F{v`Ej3omS%q`p)NGwf@w
z=Yxl>V;`2ow@M@Qg<*GVHqSzsUgs+Pe%No;YG)BVYakad348fkRHwsE51DC?!eW&7
z9m#re?#a$rMY!HGivBL#vp;2%3Y;2s%031*JMrnNEWDFFJ<tgj3tZ(Uaqh7zeU9*y
z^x-%X&#CR!(}5>q{NIxEDP-YaHsOL>#Yf2X3fE@e?}lIQ68S{pt<($W1z-=+CEJtm
znrH1cR`|^c#cnNF%cG`z2fQm~tMzG^>cXA~vOc@IB%j?Fwm8gphza%zzV^r(7OuTY
zP1c9-E3sSH!r?}~d9?7Mu<`HC@Oht>Yh=Cl#8|)s7r3e8{T{NO+bBbCpBG#ax?}Ml
z)|+h49sTAFXEm)(uEW{Kj02<L7#F3gMR+Fkr*sVb$5@<U8O|4s(0&9rmbnbf!H0)-
zZq9^%T{PRj0FS(Ty|V;Pj*eI(>%VhmPIi^T_6i>JBz<H0Yxg#oFF}isobNFGf$~=P
z@=@&_6u7^eCz4N(!v)UbD&+Ika!{xKfa%sXrMJLR{VviJ-Dt1rWX_W3C${rrz#8JW
zlb-AIz*=c{UWp_AWT7}f2>!2sg5n^|)){bG7XE!(!6yM$cPj`{hFcaQUdO>Yha-43
z;AO7lky2PiS8GlQE}PLyD~BJ&FN~4(Gj5K_G97Tx2Fr-U@EaS7XWj52)0jg?;cDO7
zBLgt|DS7IHaKHwSUxV;X54SvVm_GLKm2vpkRHY6doL6^!W)g0sn)pN3^YEr<`Td6D
zgTw20!Yj)Ei7&vdcEuOC;I-(IiZwXjQy1?jF#qz!(3_$M`Oob;MxKYnL(X*?*sq%5
zC3#+1cgo7?;Q2#`Y_`IcP5#HX!&46L#5cop)@&;*u*p@rK(fBb^}^$=g7AIU7=0?Z
z#!K#l5KNOHFhlag;-%^ANw{_;pKBW&bm`4ub$Hy7)`i@Uh>xa*DLnk)UJ|+Akqb}n
z7{i-1DaT3vT=taAbb^nS#qZb)mu5y!IKtv3ZI%0Adm{s{i*T3m*(vh8!f!u$<qA{0
z&%P@GFYY|2;sev&SA0kEbE8>BxEE|P-@>E--)@(^9|k9NpI1<W8Bg9A4T0ZRzWkvM
z3rVV8h=d(_%vkl|u%gJ~aCnrD(%uj@7~9;C0>4y#5^Di7-B)K!hSwik3|qq)pWpE1
z!So%pOipmchvl<5u#$GOl?zPA=zirD91;`|<q3O8J$_pbcd_Vw@qxXA*t<W#ItH}#
z0kFWZ8fOE%voKec{62+;VbzJD7welocd&)R8N6NmjBwlZtCDcy=A4rU;TK{Z*Ms4R
z*?<j)U~hSob1|?5Z`WskSj|^c_7?1JkslWbAEFr)zYV{ud@r61-xPjNbsf%;Nt;Z8
z4?pP8C+S&UQ>{NG>HQ1%gJ7w=-tuSgglFrU8!&Zm`d}L@{f%Na8jjBYAn*~UyK?6q
zx&HE<%LTpgZd+4B(jFUcn64-3S1!MLO4@59GX?nu`1>7>P|~06XjS@G3UA$P^o6`X
zZ5c{&BiBn?%}ONwXT5{S&1{&twriFL_OQ6Qb|3yyGZ{?Q7d-i~(s~_kxH%_G)=xO3
z$C*UKjd67xY#5Jd2E-P6!dD&!yR*W^MVp0OU^WcURN;<Sf9q`EyCIW@$orPv&;0eA
z;aZIz%}elsFJ1px!ERpm8NP7oyHk!v@ZLACCko+E1`!PnSi4sIIC*~|exl%w61@7*
z&1?w1zpv5i2>ivM?Kv3_KlyIZEecE8Pzdp2JpF6@?g}rwk5k!y7u;OO@5v6&hg#Me
z!yL(v4M}-Oi@*l|un;rz01Lb`;F8c~m~OUjb_<;CYS(rJmg-WvyaRR{e6vR8&u%uX
z7gECO+jCEo`L;7D=|W2=Z?l2dx30oY{Z`U*aC!XG@-<ke>E*kBut!BA>sEXp=5D>F
zxd?M_Z>VB|k2dslt;05Qsea<H+ueOX{=!jLzVJ!F^MCy>lIsmIAI{f=XTIymtst&+
zHpEC9=DnW&o*MBw6XzF}u>Nya9g=?MY_$dX{duUlV=pZntSuRF7G|?c;-rDYPv4Pr
zhV#FVXEMQABQ`U)VC|hZOGtXj&X#)-@B&SjJTv^}wNl+(_-X2FFiCInGVNU=y!pS6
zyM*DrS2%w?gn$41Znqas4~m&4zwh5xS-nQ`uZEL@>lw_&^YOSM%<?G}JI`P}g4~W~
zb@*qN;O{b+CX1Iz4c^~bkoFShPjyVvg$w#@N9N$1JyPDvu+vnfG}%8v{qyfh8902c
zB!TSTklgpqla!ATdWPwB#CP?EOpx*+-xb73_J62#bPzoNzs>J<C;Nw_ei6*t1J4~?
zG!=tS9W(sP2^)EoZV-p>yu2Mm;-<m;hsb^x+cb^e^TXwmWBp{mk8=<2=!n3Key8b_
z;n^dGvHM{66rN(T-^Mw|NKVq8>|nn0jqJy<utC%MARPSII#LI|MIStV6!tS${%Hjp
z?)`O93g(sIx@!YlN((L>gPq)?-#Wpu<vnt8u+S@4mveCTBf2^jxJmrOLNI*f1x1Vk
z9Op5p6$A?%{kWMtk6@FsoESLtC0(=xOcPhX9u42R{&^$0e+ShAqKU9;ug6Jp|Lr=m
zp$Tv=m+~7@pDYgj8+r`04?3xF!+(0|qcY&0NAyypK5-qft;mC?Mw0yK;OE8eXP>|w
zKjj=r{b*~ej4y<@JZ#7z<^O_Ui&8$!J??Vv2YhdRt6K>iu>H^HQCRE1F0LXtCoQp|
z6OOGh)_4WW%JVREz%C!`7fRu4bTvzF;1RC)J!HS6W4vm|s$nO&<ja*X>nV=nQdo5J
zj*UIA#-?ch=dgk$S3xhVXa8z5>0h!WRlg3x$J-BRlKv%iS^vf`e2~VZi=4k@qkqXy
zSoTUC8##YA%OhH{zf-s}yKoyEu)FKXA9!FY(6trL|HOCrAN(hIfo2?Ls<O1F!hTU7
za!s_z=PetGE!hg6U%DDk>d&px$q_dAnN8OxQh(;IzK+}lUuHL7CGBC_GJgfxe@b*m
zp5jS(r6QyJAe_qR=zA6JyumYe6#he%|LQWFA><q*1Gft|Du=-OCkD7q!N-$Bwvhge
zM`etY?638swEf9Fc<i%_h7D}@j(RE{rkuQe(gBvR)V@&w*PC$rk^Q^UTQ4={!}l)M
z^LfD`2^}+}ze>4&M(-*-l(s0|3SXZ;nH2zkJ<Y2!2w&Jb)p-N{8>?{RD?IhI{~FnE
z>|gG!ymeU4BjPF9kF5Jz`phcqZ;)w}2D=Y^W9I#Y`uNs1EDN4jpFh0|j=FaAb3RP1
zCcWV#{BQ1T9*GCd?0=&H4|Il~ehwF_T@SbpM~|lo=D?j^SLANOCMj-$&)^T+9`vTe
z?-G3$$?=y%W8*Sl8_8!{B>mWd+{eZ6)Ko5aI?TQ!<xDB;Z#V3b2^&+r@UDkBdb*TT
zVQQQ7Lm%K60lK6IFh}%DmCx{A!{5&LU`4wu$}jMxYkRAcVeziY?bGm*Bki47xQQ#f
zZ3ecV@|H=0)%NxNX6nQD<;fHDF|h58>gUYxbN<Q_a=r`J)7_GA!QrddqhY$vuGquy
z_QU4a<KPCSg#&tUjrbO0vY%V`hyDqDSl0MIBXT}1$CWS_*i$A>=oU$DKXlv`R_5=y
zO41)<Trl*9o2%Wm$^LJ2!M)o8;ln{ik4S#rx-h*v244E4;z{!RrE&96Ec~BmXhSfp
zd*j<&2HY36CFwHU_r0nh3*IxEr%cLAyGG;DXYl@LF&0vul5{fu6u<^)&d$E@RMD%=
zZ{afwBhnY)HIbOwcktolfKfNtR3uHi2{sD+UF-xuKIul+0?*AxS)YSD-d?@i4RhMB
zirK-&VOn~<@GJiVVWfQTU~;q@himihp0<R0)FpT(;HuNY6l6a-S98TDbMU*Z5p71W
znKYflZ`kcR&lOUC-qy0stiVn!mo>@$bf44)a@XMZOj{Q8VP>r<iOrwU9*o-6orLwh
z3TA2GJDH)J+ORBJGu2L5=urEl3jClrvYHcq{LCgn6*f4PqP_>_`H<}>5BJ2IY!rm0
zn5DKU!WQ{wZ;Qg=FMWoOz<=ZTG!McOA1Ncres=}};$25!>kaZ2;_#-Tu{$zw%=fxY
z67bQAMGj>+_VH?uFuXjK+oJ;aWiad~``>*{Y8pQcYwVI)5rB&nuVxv;M$&H{3&D<~
zk)k$mq~f>_53F)fX3`dREcn&L4<BT<SoMHsFEXX>gxNbcz4C&~YVN9X!3Nvdm9N2n
znDTe9z;eFT>;7=JUd0=dK2e=|Pdcn#SaXLN4zI}_dIZ-`I({c{?}MvREpXf|vl0^b
zx|5;t5oXT`wdR1|KKyp!7ktg+tk^dAJ?l-8c{m`@Ka^ZgOd|UjbwAdZj~g2@zyjPF
z|2D#F<E}ZRedhLeW?+MBY2`0%hAF?&eqe{os|Ni@`h)F9?GM4)wU5-P;SJusypnKO
znwmN-to~u+Yi;<=ja4>En7-(dpDt`iFMobNEWrBV%z-ah?~pT@DhcnTW6KtSr#-XO
z4#WTb<~k?|Uq5l$kL16}jDzPP*v7uQh3s$Wzw2U{GQ2}RVvUq9Nv)y=C73l<KZop(
z7!*^YuK|}op#4nR|NNTyICc1tQ+McTxNP_jw?15v6J0{ezb?C&tu9>h!^Vb`f3~d$
zCyZe}3+|Y+Fo%Zy0VCMoy7>pGUv#l&6wbn{Uv9H`!t#`{!49ynLp%qm|KX`Vr;1=9
z_rmc@uy%khQ!z{%VG$PyU#U1I*#om=IiB%@i(jz*>V>t&^%+Tfp(nlV@(}D7W%Sh@
zR_^(J_#0fFs&JEBZ%g-Z^#r`uEN|=rm+p9RbqYTIM1YF)SB19=HvWN`JE`Qg;5Po&
zzsqp<O8+>if2pA@LDXN-e%Usaoq+#EM#yi19~wWhQ-kNuM$|LHoobQd3h*x$)leo_
z+2zQM<FKToY62hp-!^t58F<6ZHG|!7|CV=o$KV9+b$dy8`drdwDOkL?nC~z=LhUL*
z>T8x(Nv=Hnq5o?P>F;%~R1Yb`mDQ|cq<(04yf&7FC*O1Yn#Xv;MYU;@3LNF`s5%GV
z>8`m(;+2brdLQ7T(~kQ|e78$!Rz0k6%`Ah&Jr)`{ufwByMb}Tls|8x_q44m-2dnsV
zZbdE0Ob4=`-w#e}R|nXUy5oP2?mM2V?~em`NJdB~nMI21k&%&2qKuUECCbREP+1|7
z%qUby8Iee3uZ&Wei6}FPP(-rH`n}HY&*$U3@45GL?!D)pd&d22>4B|!1Lx1fa^*`V
z<a=9jdee9O;NLl$R`0;H6g*rv;iB%l4&LyJaQe{*xMw_`g?wL&ce%AQ78YM+^gj#N
z(#dX4fRiL?glyp((>8IbaK%Q>W-=dV_gm-U=kV<erQQ4BA0qN%8SpoXfGG05^k5sW
zbv8Ws=EV@1|6*D?(m}RAMETc{%tr~z%%IDJuMUVjnT7RkI0rm}C)->5$@t(>-SrD3
zznDxOxi(m0i`H-wJizp)jf}rihwryYfzOL-?RyRL_0G24hc|Nj#%03IJxbIM;S_()
zgIVy?MZYMLpI1&#Pdxnhl@@gt{GRI44Kf~hoIf-w53Zuy!xs*(d{(6{f}b2OX^en}
zgKk7s!YA426N2FGu^zo@SVTBcBN)zR+0|YL%Uu4+><6pxT#9Odvo=>+ll0)eCgoZ9
zV8om_Nf&A4U7Uj*`*KCdc(oGcc<h#MxZhR2E_uUcQYwa9;bFy%M@W3Y<oh%Hu&&Ww
zE;8OO6vM_N0Q;Tyc|+cRTa@-_=)jV<BBC$Bzy7+f>cUBSW3uFZdGm$q{7$fMz^`*;
zf2VvT&pE)|VXjPJaQ_jx$Z(j&%U6wzM_NzzwT8l`^w(6#{JJ`$B$qT;w<qr6BbdQV
zB`*cO-~QF{DJ;*P^Q#@6*pMrq0`HyNlKurwOy`dv<FBF|VZ|eG>CN$z58%VLV{X4-
zO80cihcKnC;PPL%=$k`p9DGMMxOf_V63gpD_HS~hMs*qP6K(J(^9yd|TK=Ny$NN&o
z-Y?GZF+8P6y02X#J{5uX(~s0IYp~}&iaOGN@FM86!8{zjQ(RIVZrD%lPvToPrrlJ9
znYL8VlKlk@vhhp6n+w>TNjxKKjF%Yfe!pd40=`&WIY7n>4cnwyXJ9$nLkg_$p{bu?
zWANk8UCLwV?@(!xl_Kd+W;|nm!IfbnnIygPgjQo6{N1Y~b_%9FKf9|IPJa|cKMEJf
z7Mo?jN5jSDC*h--o-fGwn-5o~%TM@pUK7_@cyy12<{Vti^xU0{mvs-Vm5syIJ`a0!
zVKe`IV<dm)r3h)#-{a@iU`_J3<Sv)vA@PTpHj&@^%%SoY7aZE3<xA29W*^Q|!b+E%
zbN;{$XI>m3^MOxjZ`@7JUz?C27a7lDS-Ravj;ABiw}H$jW?Zgr?0{X)?7mOt8&~|$
z3GRXgXHsU!d}R5ghgQXK#P#EE$b4mWE*{QOc#qi%PZz8s?mT-JmQSww-2%VU{PE&G
zY%Tv+<0Cw`>&l*J_-k<?Gnqf#q4=x+HeCMp_qlhl^0e0pa=m8w<jYpT{>(p_$@MI?
z@+Yz!=1TJjxeiB-m7L0lYv1*&2f;Ppm-2GqG|3C4K5+b|_t&1n`DShIzOaiML+2B?
z<)PK+CAj)yclsmvNJG`*E3oK`y(>xZi_ycJ=V8MG@9vZJhvGcTQLgYQ8_r3x{^{YN
zU}|!|$=(^O2!x*+byPdTO%gh6*Wq&~tmMwXA{L`BU13JenQU9wMEfYsMfmqIA3h71
zDt$WbG~Drb`K}dQ&}se80v=$v&R_;#y|}-g%)fuyP+ofye#riG=P{V^^+6RQSYU_A
zD-Bq0dwSk6_%(eCi#j~UzE?;eUQzLRLDrM_^Li&8g&D7I*hI$rY(<t>Nd2;RASaa<
zwirARq6eotC@*ot(f>+T)!=H1u{Z{J`pk%%7D;ap9H)n`1)u$;1XsjwIx&s@&@B6#
z+tp#Vh@9tt;qcn^NCg;!OM2ho?Q#?p$}m*~ZR$7JIn~Qk242|`L0=31WHQen@!aQi
z&yw-A{NiRVN!a)7Sr>QsIPa0uB>(NNbl$nbL*`|lNqk|Q{jwo!>yr6O6{cdhI7Y^^
zy0<Y)%fqVM$Ns3m4IVBTityK$zjTygTG4hcY1n$JN-i1SilwSJMB;s$4$+eFi;r_V
ztHt3LFD+Eb_|xg_7cykw#3c2fWIQ3kic#VqJX^R{NXDOhbnpKn``3TO!$`g-<RY<f
zn&jssu~n-J=I)%*BJqh^)RV~iX?wAwuSkATZKd+H@V72W@dGf$>QppYf32VtkxqX9
z;X^MiD`4+ybC%?IpN~uwmBWP<M?dd_=Zu_<vtdpCZMtIctpf#FWc_!tvr8p;p4>lq
z$uk9>h^+V63o{qJZg~Vt=kZSP!0ik{56OCR<IXEjcEW;vU*_WA>m7~U>~QA!#J6NU
zx&sAI#}2qTZ<>p&SC8m*HDHFfTrC?7gw;1!QM15QGVB^;z5B7(%)WGRLPBOA`JT}H
zO41(&IPn3K99ciFUo~O75nfd2qB;jFHi`0Xf=gd$S=hm$=X~Q<@jPWTfBfD64q)ef
zO^NjFlia-eu;-MM+&`pO#CnBD!<rdGXVyvl;q`t=c)misYaY%qzH@aK{N2X!Fo~Zs
z=KIVGuZ85jo+7?oc##Qy*WWEop5Fq!N9q}13+7!}<FLvx*LCv!g}RGMw`O39IL?z}
zaPby@s^73(bJh&`p2KN&w<~|(iT;JeUO1Lba-HnoN3qPI9aa($C|!g<u~IXCfy)wp
zs8itgJkq-QjC@ZbqxE$GDG#O{@*Cg6v{mc-RuF&V%1)&;*t7QrBNfu^4w()<hUJCy
z?r(-~bJ*)gz=!U=eM8O%eWP-E7`)!MB2Npye(+G$8#Xy{D~rU--1Cd~gui6J+ez}P
zPU)992mfo=xI@ZcaJW9w4n8L9MYD$e=L(4m9fwbD8S)~>OI^Zy{TLkW$397ZPy5?X
zNA+QS^V&>OzH#pxGWFn|v_+n2ctdn`;YWPmWGz_k57~cO^)zEMoN&g%mh69ft&0}<
zzEH5}gf>0gGm-l+8!q?SQbG3jrGlo*8ZK>4kR$CU9=cTjv+(2_|JNL_43FARJ-Dld
zX_OcKe7)tCKAhY&=Pn5Up=p0B47=p}A0zkk!gEt6QF#2JL!TU+v_qSk8~&Gg_Xw#U
ze4oF5#sk-X2<X&+^B2=}7-5})N4liGJm$M&f(bq)67h-Dr?$sTkIx^+`P%hhiPXOz
z|5Pt8z>zs&L8N}SsR_LI6W+&geTLNU76!kRM`28-@*~fW*bNUmyWnC$^9g5|#(TxD
z2QE}Q?0Fd;V0^rz5sq=+{nHaJzr0e_1i$~Z%`E^{7>hH11!s=;e<#mBTh(9d6);mw
zyHg~5gHnz%4nELCLrI>;#jib|-i0~%)*~Lm^um11e(;*;@dDBw6kk7C><@F@KdSN!
z-slh><N+7hGR@_{>XfhddBNXxXs;E)MGL>@FT&4?-pQ4~cT7w*FTo;gWryow*HsT@
zXIOaJow5<$RFzfi0{dP#AK3<b%+&_j!f6w`wLZhlR~Po#!}No^AHTv3s#_K;VFSvx
z;BW9{*YlcZV7=h_1k#?$AHB+K4i~a{8<X~t$K9;rQ}EHpmwT6B=?D2iCh(_rzF5*e
z9NGMBpDFCq!^5)??advJ2Ilo)ww$`p)Nn|KtfnEHeC+kF?eOPu31(f`H11r=4){uO
zpv7T$Pk?pdKDZ(O(moA%N`l%&1dcxV{)#rtWW9Dx8U8YvqoD$i`lrYrgm0}J>(zue
zFvnO~!_@`CPnBS5MH%+9@C~cyiE8lk!-7Ru;h!@e=M><&yjmAO*y7^H0uq1XSyez3
zacNY541D?ee+swZ3EHx~vaoZLSxr35{O!_=DD0sz<(&wBPJgc|30Js|-FgOJ5%**e
zg5RFFuKgTNPJfiY58kfi-%<phC_j9S58hO>HKYXQox8YaH|)c^W$SC$F6mVj3%sZ%
z67Uvgeb-~l1}Fd6NB;p%JMJUJ01I5pf71;2s^9NqgeMd7^gH1C?+vc2rpRx&q`Vuh
zE&ING9loMdsx=5tXz$kh28%7+<sXGNT8K{e!$yh;IaBa4J>}3A_;|7_*BsnCs5saR
z%e{8KGY<18wdoeYft<HWNW9i!Uuppye>GT)<abkKLh&(dJS34s;@$UC-c5zGj_qX`
zf}4~g&LqGx9+w-2;iS@xSNCB|*jDX>tCl50qha3B{P}P2#c`v-TktS*rVIIfr=7pO
z2!?m6{NCLKkG4?J-5^%~me2z47kzQT8ICfDuKo-w7JjdHglX<vlO^T%=<W(epwYj|
z+5ectYdI=Zn8Bgvn>p&>vAViYLpX8Qd}}>yyoK(^5xCy)hYmSEzp@fvYQvQ@G;43*
ztnlN<bz$cxoS}`dpR&szIry-!**rNvwsd@P3UC*bO8`0kl?VI8gy2)&34h4>nKA8Z
z+XvS^e(6Qdk8ypQGY8x<+dM+bNBjKMtz0mN-LUH)*y+u=Y<l>9((E@<{@Nz=MhtMd
z38UjbcuD?v(abUY9wnNnbvXU&#Hl&hfSP{??RT_yIgSfXz<I7aTIgV<n?de>VgE-*
ze{jObJqHf{g898P61ib@RnMVOSoo`@z#iDIq9u0#Ry}dFcQ4Fy$mYZk*ihQZP6GBe
zF6Qrr8x733rQpvIJ?Fo{O3BfZ8nBR_fMN$cBIxr|6Yg6m?C*rNAKh~^fYsHPp0&Wn
zb$&ue;h2ID<4<r!QDXiHm?Er}rvct`&EN4P{Hx03Z6kbt_`!@de0o=8bPasc&^P-m
z{F!6B>^rzaEOEaxY(R6Eq5__j_x$YwAAa}gNhN$K>h6^*aJ9;YOGR+M!bMR}_*xG`
zRVjQZAV)0}enKN1o(tE+2Q7rbRzHg+^5LgpY1d=m%PAepS+I+She8~jqG_J`4F2!g
z-I^pgIrP%`$FTiId+$fE+~f>P25dVVOqB_9zNYO@g7d$bls|>HkKMfS2riSqq?HE`
z(4=!m!8$6G`GxRjZtj|Bc<0yM%9U`bqd-&$Z1!t-x(Z%aPm~FRmDXwe>fj2qM@?RE
zu<-S<M)(USlba7L6Ow+p9e(kHPQ@Kod-9*i7ns_~bMO+p>~pQC4}Ri#*2f0^*fhvL
z0O$T{*l7nFj?g?Gg(Etil$gQ_+!mY@u&gw#<q6owH!yt;*5A-Ms}0-UuiLr=U(=CJ
z)P?O;CLd4?pnY??==Pim#%noGRI<P~8-B|!z~3(g>vF*}k8U)Nz`y+*3wh!A*+TbU
z@Ez{NgM#qwY*qR$m}~RJXTq??nB&WC*l{vNRtByO7}05f&1&q^<lu|h^y7`N@_2%%
zDtw*KJE$D?e{7VX0W-?p7pj0)S%P=#!{&w=5s%?`c^@4kxc5?-WCpBSp4)m7{t)>*
zHWGgGEO5pW=B_DGh=L>4U-{X?J>7R6T!Hh}9aEg)Pdj7OJmJ`<>B5)c<u0|Q8DqTf
zYV<@z!<%;dn@+<Y-^5Uaz+qV{#oe&4{;}PWu+ry(|9au$`yW1!gLy7q*p&@$R?q+Y
z2xjGFe*X-vOy6)d6W(o}KOGL|q_Ud4fXA739SwuSX=~~-U|(m`Tvzz(^1!cbc(ZV?
zsXM&1B73O-W_LFVG=>dl+V#re2>XV;$6)!-!k=qk%CEfBhhedt`mlHKmYBQu4B**~
zyV#oH<FUhMv`D;fdBaC|j{ejp9k|zk#k3QqickNf0^8eU(RIVB8R4AjFm19q?-*P-
z)HJLB@8ti}{u{2!&J|aN3(_9_T7g57el5wsrZJL_)?gE^4;u1tpV>hEmO=D4RR3d?
zfHxJoI&6jKeT<e#eCb<n8WA{W!L3#V&Nip16ou1yPHZ9Z&TA!~RA48A3q5<`o(-BI
zs_?R~@or)G>DbHzBe-(2^&dX?mbtI73EV-~8nYYD=K9im3f|$-ZOH|f>^pVG0=^-u
zOUVPjwkhDUgEhqTo7vz=X4y~n@XGUIx9#vqP1JuEVJWF1WhPi*3*%Nd;!C^(TVVDB
z=N@>&-PhT3Xy9OhL8GfMd$7L|9eku#xi<)Y5ontC*9g~3@4e+vxGFa9_%s|HJrjHf
zj?O!F{Sz$wGVH&2ICMU3PdiMjIXavI|JtK=vmEBK{7d}=KIIiGTmhe;GP(T%uJW>+
zD}Y@E)3kG8k;s&UA~-^OV{0iq&3?)DIh;Ui99#~Yju+6rgp(f?Y<UZNQ(bR=0w-=*
zefJKoi?8;43I{V;8#cqbN+B94u-ld=8(U!CJ8wr)VXeD#(Vehyb#Pt+%pq%_)eWnM
zE-xj)s=ch{W3czR!gq17_|IcZ<FH82gu^}fI!$T(ES#m4DiZ}C&7VCo51%Ut`G0&O
zYp~~zALx(c5{`~Udf&U(qMWcqL(>1ZFB4>QJ^~kb@BRPwJ>EvU3}KZ|uNdMH@AM++
zbRb+Wn3Ng<Z?R`-2!>aa`?SMIe%~%1i-Iddb(ycj@*3H+x8c|~Hwy#db!o=fczC<)
zNr44JjK8GqO(=r5hMCnb!hU`Cc2~i1++0T0u*vqkZH@5SR*KozFjf5Cls4F9#yK<>
zR`~Urt^>CGs4toicfF90`v$*R@tMzpx1C-;^c@y&mOuC$UJ0JCoPsBwS<+^}c`5lU
zGq824V$KtIi9-0{GEA}gKaWT7_E*1+S7H0tvYaWfMx4!8>LK*k7a9%Shu{3>yF&xZ
z2=5C`fV-6wxtL+AC=>25cz9`ZFe^OzOW<`l{5v{$3pX5dQYJhQ_Lx(6#{*BhQ;FYz
zZKw*4?uA{>Gb~<()oE;~gy1CIo(Fy~%dNg!lJMY%KD#R<T_RjV8t%2vqVt5;MX8$=
z;a?t^?H6F5^DnL|!+r0RxZL3^s*HO_;L#hB!;bL9m-_mK@K=SUP-l2hx9*D>oEr4Y
z#0H+Y;}mWV>n^;Qw}ti6M%d26uRp}Uwt(ZqZ#LM#gU$T3*6>!HYu_%zlE<jp%;1Cs
z?pO~v{d?^dbGTS5f#(_=|2I|D81|5pX$yd#s@VK6fv=h8T7<#MT?)?+!|tOxTO;5f
zLkmU*u;Yz)4`N{!`g%?+I4a-F=q|jZta(-!)(ARg_XPg1m0na8zQaAl@f6;uP}`yg
z8=9O=&xLL7ha@P#@4_Ze=EFv-E8mr1w%g<9-@^MDin3+kENM^v_waZ93rA&P1*-X+
zW>{l**A6lGkEY+57I?|;wv{B@f9<NrcetkZz&;`PxyS~QK@y*OhK<C(x!~8h469YG
z_6fibO*ULxg=G$>F_ZLcUT+zpVVtiU`+7)v?C0g5`{385*6;VhgX331G+~*#o+v)}
zbI-hzHcY8-yo1C~_f8v~fUV}<Cv(H2``xHd!bauSHF-&T;AFHl-1_1~2P53AKCoy5
zXPYtjY=QefTL-zo4N<O|G;o9BXZZ_o`~2>ov~aVwX^jWWQW}`M0nXNY=ivow_RE-3
z!Y@B)QCx=~3g6=ScNEv(g}kCbc#2v1%`)ugD6JL&pBae`pMhnw9?V9<tr5!NbHv;{
z*Y3i`zrz>C;V(;pGWX%nhO!U-z@LXURwct{5BS@Tz?RnM+*4sHuGVLx@R?7}A^9+G
z!Imona8*f@QX#xwvSh~(xK`z8Z3TSPWNM%XUVD@6Qw1;Ds_gp)b2#Qkx4;3i7pA|!
zd?)F(KEVu4EcZHLIqzE^yWyZc2d!FQwoOBUz3{5{cgjz&Nb)(xA^7y^O&{vv&W7?g
z!|)roCl?#x>7IiIe_-10wF)(`<Kw6ee_?}s+pllo8=|Zci}2;_YZ<TLcQIC~|KJ!U
zF1<>4EOw}Yas>0|D<xTqi0_N}Z-he_8;gqJEn5p{8DSfa9{(3`YyM&d6U-;%#-9tX
zKK9pThpEeM6eh!OXVzYF!mZicPNu>G`)(@khV3}H#%{xpPAsJDg@q<FZpFYaKV1`(
zfHOUeJm-&~Jj}0!8^Y7mOrK}r4_QCgb>K^7FU7yY3xPpg25_m()rcPW?2ggfny}(S
zC7wq3VRQ5%i4RO*_Nj-nF3+4l2#;LL{rnOZd!-*n;&)}oNWFk1GIQ1x;k=_JZy&<c
zMtki^{9vQXt|YkTNN}$#e5>uNPZ0cuB5|I?XZe1?hvZRTY0W!J!<#-%s_%p~zSMS*
z{rk7q5AA|?312=#e$UR2J5_1nvak<VO<{)aKLd1d^5oS`maz8YpBqOF&|g!y<+Ba^
zmsaTPPq>xKQtv;QDl%=R1C~9+kb4?lJ%8$67kth8wc<HgvPHD41pd)DNpk^S>+blk
z48Gm{B*p{&s@7GM0w*_E=Uj!ujl52#!JMNU@;Bgo#rDq*@TIQ@d2YiZQb(oF!D)K}
zVnX0!6J!5Q!_P0rYlp!Z=FTTA;fkcL@&I^WRpzJxY{t60i{zK)E2XOscO5x!kL>TC
z%*8H6*yFt3ia#8yMJaax_9_o{Bgf}{FKtZ{jxN3_;01r+R<e+Q{RZD8T!bIw^$7^V
zPX{Xv+~AkbuLkacZ%iz_ae%wtzGdA8d)E#Ky1;W=o!waBi60yfNqL&bGAnL|%PMG$
z>|o_W=Q$d9)cT4dIUkFr>{aXfI6gPaiQ{mdU=!CGthg9+_6U4wv-i*(Ji*|xjhxS#
zW6~P4@JsjXaB{wH`wY^L!#5&ARSv;!3aJibutDpqd{x*m?U>XctTz#7rw;#@);InQ
zR{FkZC<!Nu+$-vUIb=UjlIyAL{2A6S@ZldTp8Mb}irim6z-G!#!Xofljq3XiusEgg
zHgdmli3eD}fkk4c>$qUeS+lBYxIKH93M<UBn=7OQrd1o7WP>wLFAf#KjdJ*BML46i
z^7(UErL~2f+}{z`Q#R+otWTCBso?@ShtH4U2F)T>8hFCONIDIEwb);{hWbS7IOlQ#
zoSztXZUfS-_AC_NgJm!LG@eAdfJ)u9C|Kpty^T}w;>fGMNVwU)%KH~QqaO9-2F$PR
zAUXz9oC)0+1b1mfrw+gh>lT=ShwFXMe$yYYSFDAIH*7_Ds-Xw|b6IBA6*eDTy80C^
z-=&&+9{#|fY2O4t<>U6YgQrFMb~M9#4+wSIz>)47qTaz4el#in!3_8As@1|S5~3C-
zVai+G!bLDo?AAR-aMdq|zG9g2jMjhw{B1U?E&~=DlE~JAdqZV>GU1xc*mtV%FQwbv
zx8RVyVYlRAW@XmMXjsCsS8qRT)o{eaAGTlaU=fA;DVl@=V6!9gEkdwsIwk8xc*Euc
z@w?y?+kD=;!lG9$&hx@|9>gg+z)~KUs<*=n%rp~@@V?_OdA7j;9=pz-fuj?OMi^lG
zzqi=P^SQM9z+*btZBNyjF??4=$Atp^+_@+382npUAY|n*=Gz={WLAWA!xfEY;Zx@t
zYn0%filGe?Fijx$eGU@uniDe&Td8~Kalt0VG*ds|OG05)EO4ZxczG}EJl^NZ22Uza
zd33?K0u=vI!7&{?YOSyVpAjQ99QZK!(MLGY-8ygu?U@9h!gIB7<E8BVYw$`DU+p{i
zbb49V9DJ+8B)S4N$zJ<!0k*vPexe*UEob=j2c|C;4#<Y}Q$l5@VVUA5-=4x%Z{xB@
z;q%t#sY2mTf@YWg!q$HW(!=1r`;V?I!qw^58XREVw$|Epc*$bK$qCLWYc!_C@#Y$-
z)f&T*{8SE%@Mgw`=Z?Wl9P88DV7X%rOByh{)mAf7UQZ@>KG1?2;+Y2d;P8)!=SAR7
z3dY5~@Rtks?~B3r4>JTwz&<&TtoOiwB{s@R!DhdXSMP?8ac#^d?YnVDt57c3mU`ho
zVR*<meIF0pIlM3;4PTwhKC+^R?FW-y9DsHFujKrLMcd<dll&$(d0v@@7h62Okobww
zdxm2$dyF|R`F;NhX73n;uh>eo(!mFof<3>(!*2w&Dc};H2Wnj~UBco#CEWDdH@O3r
z=$Lf=hw`$z8Rzg3-kJZ3hn&w;wX1a>;MtFPF*ESutLNqwFyk4e`FS{`_F-u`+<!;H
znVdh0U8AgNFw0(x01`j6XZX`2xccouC(<6?@qzNeJy_iI57!XPwuR<j92|1;+wETX
zMB%-k&hUE&Iy#a*-}_R>36|iU^CRg=gTr0s@XJijfp4(QDO!b-u)f>I6CJQfhX92U
zthD<!O&2`&#=!b0ocqDcm$cW}0-g8iz)?Z#VxQoef%s4@c!=R=T0Lw!Qf90Szo>UG
zZG?Z9jpr)Dqf&+qZ(#94DNSK`Hb_g9ydSi5o=+2k{VDdPR=|<Xcbs>@Z|*0VRKc6<
z+8cRc*|}?VMX*ZpQtWp4;_W|PC9waIFcVf1Uz~rIyuX+~E#le?pNrsPBkwO0w-@3!
z!kY?{eg?yj-$|WaIfVJIB5Uy>aR0XOH~-)Z9bXyA`<0)g`$#t|mMz;(;&W<xwY%We
zHs(Wqa4h@Lt~&U1SXwrD|MGqPTD}&psJ*(=3;trWyrBv{8eQ4y4I2ksvaWy&bM9)p
z!N(kO_Z7lteA?#SVar9auza}FGt1ctX54e$Bpc2+JizS&Ckg${dkTvPmE0lki)#r|
zS5sh)4PzR1Fw@rZo=0$5WmSm<ELgYt_#WJlIPP#7j+NoEiG}O0$C{A$S3i0?(Fiyy
z{uLE@fBmq&6cGl`yt(D21GgmK=JkfX8(Vtx;Cn;j{+@6gZHl2fEat=9a~jSx95_qj
z{l;D$u!K1~Uv#R#f^QS=YQc_M>&G<U)zio3G+@KQ7%TFA&2`gXl>)ZSWdErPizk{T
zuj}G^Zs`3_m2AI@V|fI=%Wr={3;tlWerg!r5heIT3H}kSCeR1li7v#F{grEo-oS*e
z*9W~yXk}r|dwJWN;N|E;P71Jl{1cA`c>M3CehGNu)tKrV*wU#!S_)Q`8cwc;@wfFG
z_rY@sB90~SWnqmXVfbvINJA04*I;cQKYUX1a?EpBwY8{cH{289J^c(eZF4o`f?2M;
zd-WK8|KIKnJTPlP@6{C8{=>b|&2V|0sCGR3FIqE^5f)83m~jujxwgzi4IixhA%7F5
zJ)`SN3%3ld-M;~M46P2Wqd!G!!sLuETo;sdmjdZ^A(!6xz;wTi>6eh69La0y1nW{<
zcV2;84$RLu!{##0^BWOA?x$U81FvdYWp08Mho)BS;WO%smF%!|w|wnsc%(Gs0tc)Y
z!(eX>AGq;(i4P83k61K>1+V@(wFe%!cPic(z8ESuA_k}YZ4y?8tIU*iN%>0K$2Dre
z3s1t^4#2seYhxARpctAUaz67m-jY#<BTkwzk@LN8L-~pfT+-iKr48R1^GlM2!@2nm
zAB9)lGwj4*6V?0w$o2c4{T#IfyfFPU_$2%$w%&R>?2{~W-xB6k4A`&(-fex8-yW`E
z-Wu>t2jfl0*JsK7c*^ba_pdM$O{SwGd@ZWFxd2v980{hHtL^gQ`EcZVq#;RfF!l9t
zg^fA#T1o#5zsT@5clb9wn+2&qUcAbWQ-I?gRYXbui|j7S{fcl%Y(@#`e+m4XZ^i*z
z9=7#NgbTc8=Q-gb{T9l{a9irDP<r?+@BRPRXZ@QN1R3DmGgN<GAU#SqJa9%E<M|vh
zs|9dc&MUq-*uh~#7^y$6Q&DSwh8f1C4w3$t><FQuFK`CS<Mt+aUwun_I;<ZsJM{&=
zP}V2^gru`N`H|;A@CoLaTX0Q=MdS~7beVA`0;bO&+RzIJotfL_47=s1Ru8~e4*e>0
zft8!e50AkEM-u&PVTL~4f4_+*!ny5XZ}+#sv#?o!{IDe~zVnDIdHz{<@3~<G9~5bL
zy$1gm=)TPmP6_|ClRRH-N=_9T!CSkIKBI?+n*aG8g7d?hPcgvXUw!8~48J|9KSJ7D
zR#sPs)M2%x+Pm9fy-ij@n(%ao7T-=-^HT_$3|#Ih8Nd&(9kVOg57*AT+$;inT%EZp
z3e)KBdL;_Cf8pp8hBY^&NC?22Gi+}!Y2kj>9@ZC!|8faREW>&RPMvbFbbUgxC+y6a
z-bmV;eFEEdc)&FlEUJ32bz$K5^RUf5zCVZIb3RnpF2adh3%yBuR7YyXK?go?;{DKn
zu!^EH%^`TF`+u&su$(@BygV$Ltn=|4yeu9ecL3&G=`$zo<puHmbwcpp)v}UH@Rf;s
zcEa$;0~1YOxLjgbj33^=Q)$`{HhiM}VK-bT^V#nvoOmTFjth1&E)xxf)zinNdEkp*
zO-gUWQ5z(e+2HWF{pVufgFhn@w!@tFK29gXVXX~knBcp=a#E9Em5aMKFvB_4x?<%0
zAz=8wdKx(72>;h7u!M4fJsm8dTzT##Y_B>ZP5~c(8@D|V-h5Q4nG(JxB$-wQf9;C1
zoYutiMd|Z8>5uAq^J94izCGX?@g5FSl8F2P*Va>y*2DE{p2EZM#LLH*Kfy=jd3p=r
zsbtDqr2mQTw2^la{B|mR#}NF<|E&6R_|t9Ux?xzwGPeH(EM`7yLi(S6)2C!Ufn8!A
zQjq>9iqwzVPhq`J_$w4Ry7voX3S5#tqVx~e+eev`3Ui$buOt0W1%Ih7C%}1iq8_CG
ziFRI$<pCT&(@H`5pQPyaq=mzcZS+>muv<0d#xR(Z#jc&ak2cn>HwD0d{`|X62aEh2
z6uSnmZ!w)G@1x7AgL59R*z{03+24We^XlheYL36BTW~yw?+4P^!Cx4>7)g0-U$eP$
z8V=@c`t|}Y`Eb+x1l(Ate=8T}UAp<o6qfz^h~g=%#GDgk0MB3L%*}#*UgixShQ)(j
z1XAH0Te_cXz?X!7w57p9d_!B*VZUwrb;<Q1d&<H=2v!RAH6i_xwuzS;_rejCjkWjS
z(q>o92@UkeEJ{X@?eF`k4E%u^4*lBx3>H<rd7uN<-dey%j<0&`P-iFX?d<Zr6t<9!
zu6_Y~#a>{01Gn!|v&@BCB1KXf;8<6^iDdX9i|5J*SV?v^JQY4-ARGDxepEa*7z(e4
zhQ;*2z8(<);c!T^9xr(x=a4o}afI)s1$K<W%v;7)oZ+vpw9ih%bI&@dZD1#j!_2dA
zjjF?ATbQnmF=+)BTbGtGg$)KbFRsIN&Xujl;j{UzL9{quhoh3>kH9R-jZ*aR(>wt=
zLpUHXx{?JpKeM)~1CM3|JCpv6%StyM9D?)C>MwA^N4-wksKL!U4`%SfJak_-XuxA8
z8>Iwc-uCSJ1MsV?nQuaH|NILo75MklfcXRPz{Sf=`{6*F^XW=(Bjucf9DG+|zoZsC
zL|Y^&4z~yKeA9-@BnzCS;OW9=b0^@EVMm#L@Nbux$0y+=pP#M5@V`&y5@+B6$3xbf
zaK09Ige}b7S-r{yON|X}KM(IwHZd<#NB{Uf9_8zBTwBt7IsAL(PhA+id-43&JFvX&
z4$&A`t?7w(ES&dpq9hT{Xnb|w9Txf_dLb2#C>_~<8E)B0{Vxml);<;SA51Y4PWcjc
z7QHHD2{(({MU}wGYm<|vuxenxQW-2h-)3?QzTvhpHy74UtRB#S^XA9s3t`<K&$QIx
zkTrZU4&Gn1o8bU_SlmbSIlRkl+eLXeWk*s<I{bx=c5N>lU}C?V2@gDAdLRT(ENh35
z{IhbepWOwwCS>f-heIcV*ZD|%S@7#}*gkrumIF@sJ8-@NW(}OP;ew-Y)-1h)sq-vF
zSmAFcxH4;D4|B_UHh724igXL?x$Si{1N`uV@%L6Z^HQZK6G=Ceap{KhD>!GV;g80_
z9KCR2>$W>IaKzzr89!kAUvGCVsNwoI-mu{(e7wE1ViCR+{v%=%KDiw1PzR?p9DT4v
ztYJsp0QWh{2~z&V`AT!-e+oy9clOf4U;nM?KZajC*segfzh9xt`T!Q%BR%{Vo*0=|
zz6aBVIIDNUFLU)aM!^Ar0e`ySCmbIe!{O^uk2~t%LI%N@K=}Rp{GbN-d{EiRYcS8>
zHs@0Kee#Z7p0K>l*BzuhcL<b?T!JT_Eo~szN2w$43uk!n)avtW*eY#rmpv@&B|v`%
z{xx|w`7~^oz*j=9zmekO_W!}3JQb43^_nZzBz6p5{48M*1XmuBx?>DWuO4{q1LrC4
z+@%ihiQ(iV{lf##qk>f7tL^+zSK#e?Y4qh`qs<ITo^S)5?+aPjQ-bv+>F+N5Fn>i1
zUUXUb&lL_&8l@71Gh-P=kHTZx?oGTfh0j=*Ask34bAuJ$EWEyv)ECdizUXg;Z&|eE
zZG+<;tg_I;X*KN$8{vt`jGlE>ybnmF>TH6?&#E0<gKs`eDPKi>MM3$SdL9;FaXd%r
zuRTA*9cN*YGv|8e;gwc-sc|^9S2&bB4^@Qv;>O?@Mxm8S*v<DQeID!;OI@@Kk8G)Z
zk`GG_F{+dOFUh-_UWbc5BpQ(Z*|&m;e*@u$z|5}g@U5Fw*WBUvp~X_1aHhc^*JW78
z|6L_Ntf+S3hcjG$UB^iPmVOm|?K~_wVLC4g=O}O2wS%3)+SA10t1hxX?BOn_L2-Gw
z>uPcKX}B%fvR482ux{6}hUFGq&Z)zBt4Enm!hhclv1-CQ?mK3i!v-<4$@;KZO~0El
zT(#(6K>E{9FfTG5gV~h5yGVb#YJ<a<!?2Rl*bOsy_XmGB12}Z{AG0<5jb%(h3$}}N
zs5}D)Y-4rPg}v^Fe{qM^HeXRtg)iQjyM7s-rw{$C2CMwo#N-EiMh!hsfcvgoC@0rf
zo5q~HBAlWUpc4W!n;NW3!9N^^rbA)6%2N+y;PfZ+{^a`JV3BiH1P*sH6N!bRg=-VV
z;b?zf&2+dx`uILx_))_CBvOB!DzkXM6Fzd_kPxZA#5=jTXy8dhRk0%2)0Crx7Peh9
zEvtloKB;2(dl1J{AXHTYXLII1oq}6z)ebkot@+II1MnN+^0bfe`0{GoAgs&PE>7<M
ztk9!p+Te@1Dj_{EeWvVcJ4yd;#!BiZ%RIApO>kd!Nc9lB;fAtxGn{Lbrau8sa+wRh
zhf4}RF8qO8(v;rT!u~CzK?|^Hy-9c#JlDt~N$M|0Dw(~n;X(`X3JTO$0mWJqC2;KD
zV-8gC2_ecoui&(thyXUYEsTCVA680xA-Ww7fBiG05WfAPv6Pqi<=D|2IO5cp?JnXS
zX*XZO4Z6Giq~QAMShi$XVE*Kn{lqLzxhb$spvM^%SbnDpbtvpHn`Nf~uR6Lr-h{On
z!n+T^-}c%{`opW6VuF?6y+e=UeBphRZcEZI^F+*lm*KmVmorHIE&Xf)Zt!UriCeqj
zO>A3!JHX0Wq6hZC)GWybcJN-A;a%kSg}EjBSi)CxzJAyS2j)zC`wy0UR-(oTbDaE}
zaSS#P&K_ri2elI}7{T%nEI+TJJnOjAWDmjLP8<$cC*}R8_^c*;ub{1W7%pgO*r!B1
zSQ<i}Fa4ZiQ3v3MccPcS!4`)!j!VHFwXT`p;Y#XfWfJi0NgXcoJh)dj&cqIjd3@yU
zgP)!D%H9F1sxD`f{5jM@+?Zj_+@=#Ge_5aPFHA56@1sVN|JO|BhnwJ@I7bhXzl(FK
z#j*<CzZSVt$@O2n`^sG^q+3v&m`j5*dhZCXB3<rO?7INC=7y;?HPZRbKJ2&#&&JyB
zqlCYwI&HWB4?WHLyM*{$7Rj88uw#qvwh35s^6p_W-gQ7P`|A*Ve8lMg_0@BO(ToB3
zXV`Eb8Se_6GCto8FH|Om@xX6aAIWvV)PbUIWPB^LnQ^Td=9%f`W`a318gJLZgBKQm
z|3-aV{7>g(H9Q}la(@Em>z)|Qg(Gj=%u0b-KSyLgh3}o-eVnwvL$;XHB*RlCS(`7y
zp<f@XX2QS4w_2Zv7u+=H(qT#d7+nikelkcs2llpFcyJ2lE-`+R4KwX2-C_c3yuI};
zA1?UEVQU2MP&L=ggGXh1J9S~fp6IJ(@XyBwM0MbKI`i)(aJA`jvI^|jRAy8U_ewrL
zqzD(Z`WDr~X1iP~q+rg4CleoGzo@s&lCWFuITKPI_h)Y25QHCwzO3nkd0Y9#$ou?l
zb|=BF@W7>?DP%n7WJ8D*DgVQR5_4qy!i7QY-5~sIdDdYoY`c76{|wyO<+GIumS^Kj
zn1X*wst1$t94BMxPvrc*NcQh0<2`P?gR+b8+4I^*meIeFJvMQE1Fnbc%hytu;Bn^%
zZEHwhDbd+B1xwbY($gTl!OYKb63$;SxJa(2DrW7z5t#btkxWLINzY4a82;2cznKAk
z;;EML6;?Prt;q)8IOMw210VYp|C9x;99KBs2Dkr>`pyXpp0In<3TtV~Xmh|6uHv$!
z|9-G%w;vz8?q(KN3+D~IAJ_?dQShx+!WU`tID}x9BpqYY-{iS<dQbpvHR(}!1`Ce1
zbBd94!_~+vSZDcpEV;j4de;h&`CfAGwVJlWhElU$q`%YpkHQok96_~}{SEpn-C5t1
zQNWW_eKj@ktvknqNcm*iSY_wI-}-;(&%+(5drlO<d>c;rkn;b});2Ez_BcMRF$&wW
z3s^pYGtV|<{)97B23uobH!6GAemH0$$u|x@cw0b`od4{S?Y2R%#;Ny|pWzEHo3@bo
zdF|cV=h|R%y^tVZ*mUxUWF!1fS6;#&9{8qkmt2p2@2AqPz&}*KS-yr>8<UQD!sn7d
z)>Oe<q9<xDz?1qO5yd24VdcCl++yL9lM09F96U-vw!aYbBa8TaTG~41AI`kp(UAb>
z4?Y&mhWQ_EXH0|X@;CcFg#%7r-;@aN;<-`f2e%nGsgU%rr@vWzVSDxX|KGp24UhhF
zg1JUL50d*gMY-UpBRsUJ@;r$b*jbll2!Fg0olfr8968~&Bk)>D<pmO-UKu&83|}3+
zneh_tlAAc71hZxrTqO6qE`<@FFf12+=}93h^7Z)@Ay~Wbkt?~sX~&o?*<k^X<C*0C
z&e-dcw+(hlyw^eEl^+K%komhC=+zi2VLSRB>wmC&X^?U$d}?aq)pvMkZRaIYzN|so
z%>D2=l_M%7{u9H~1v0<*yZrY{?_t9YtNI^cri}~-Yhb%(E16gD<NUjq$@$CT&kres
zE#f*KllX3x+QDR4iqo`*)ECv2+vUmp>AXDw=_Fp-$(#2U+-^0~L#~H${W|vuI3q=t
zp42yNa=p!NuwniKHBuj6))3@(g%kb0U;G5e-&6EE0ngYUc+w3&Zocu!6n>TYK(QST
z`ly>C4a-LUaP5Vumu}BW!X=)D)L&r9AI5K);CQo}N~Hdhp-5zBgdgu#OC;NyA1ZF{
z#(a7joztyk`*Xk7__|=Wa|a~I@hS_jb*0169}e2}z{UoaqK`@ZG^IKDeM)p3c}L)M
zA%Webyb9^+Eezp7Tei|yFpKJW5iwZcs%BsTEIYy0DGtZJ`d~nwAHExGt9am+MGAKE
z{HU6scG?NQY%%bC0?SC{^lgVz&2H#Cf{pj;h3$ZkCw+dF1Unu1v$6%=ovWi33HP&e
znzF*b52j><!>i_%b@Xr=_4SXA@QaxKD_dc@`@dxz;5(<Ujgs{(btN?xy0D<%fA>j#
zU-S>wXv4E@3-mOwx9HOovLt<f(;1TA+kSy5IXLX1<R2E;->QRSJFLt3^Z^H)BduM?
z4x0%u3-QC>MLvF=SH^tWCEYJVZ~?D`=OX;{Q~nvU-evesbaE&Bx+R-Q0p?2|JkSk~
zdhB?h2G7Z==6k?S>z*m5@W((q11~tG^pB_|>{_pJ*$n1q8|bouTV?)ZGKT{moU$Y9
zRg8A-aZ!U;-|e+`gL8sqHfg|gCTY{&@YB)t1S$A}oy#FV_^u%Bei`_c#OUW>STU-$
zjvwB+EnS$bUwQnv{)_<pgqy$Q4m`);J;w@9w>LA~h2Je*j@|~B?l_Y05LRB)F=vDY
zuJC9j!(s_)GfePX@rSKs{Yvq^uA6I0$bVFN?=yHJwQ1J|q|f&k<QKpzGIz!nklv%>
zZCM1XSqI)&g70Mg8?A)HZfG2xf@xDK;;P{<wo<>Q;pBjWeD&~OwT!ES@Q({69!>DE
z#ar8k;G9TBs?RWAu6lnjeC5W}bFzNLi%ZD658lRpMe!Sa*{(z53v8PyG~5rD-6;Rs
z0gt`Nar*^-x3+om5iaYr;2wkN_iL-Q!W^apPp9GIX}{>|Ve4&C$7W%xef5tU;M7g5
z-&bIZ1WNfb*fji%>;~MQatpn!<#1K$&o{Jir6a9vHk`sJ$j$&8J?dS32FrWDc+3Xd
zvi`gM0G3Yvw#W`Y;;j>Y2#@QY3*H5*-|MW5geMP%_Uwiky&joG!Oa3J=R`^Rbjp|?
z{APT2g#;XyedfkBxMIu8LkjR+hL7LvVTR|Thg9G%zjx@`!6&7XU+sr|jxM@r!9tp+
z?UZ088Pj$RSmIc77pb2{6gBLnVP?@7F|vN9@WHor8Q3L9p!^_g=4jX;0t+Nuw^f6~
z{YKA<!A4PRQ-@%OoT@o)Si#|~wgFsl&m@``wof!`BlY3$h2oRj;kb}2Us7L&-90qT
z4#$cgq_cv*gl4|l0*@C&7Ffeo-Ezmb!qqK&YK}0c)oornSZBgz%n3eZ!&6F6;{7N+
zFTws4?+*V{#Qg8FTTLEtSnuJXW%%1ofs@x@>)HFyXW-0qTgvNj(sgd#Ihf<;a#R>x
zt&`n71o!c~{fLB%vxF{<z-no9u6N;5x2Mz{Fx!iZ@8aPT*}IZE;fqdm#;LIKl^Cfy
z_<)XeMmp>gw6UokzNxw_^&I}M|Nh=wc+$&SG9UIIUa!uBRXtZL$a)(Fs^p>Du=#|6
z-5Z$yl8$~fT<|fcs}w$UDz48T?(ZrSt$;Uf*VgibTRYfO$oic+kGKvO*zPvVY%#pz
zcT~k0p3A;)j;sf=De&B61K(V*-I@!B3dx^812@iB-yrLUgrA+2Gl%!<=ZR;*3Q>X&
z&0uMX&1oqx$LZtthOkG(f_@rI_i|_R5m?yNs5$|b{9t%b8#XGHcYFZT_x!cdfTyZQ
z48vhsenBxs_@7Pv5_!H-igx^ygYQLM{_X>RdBpNg9KP*t6z&T%1>`R7gSU+x89EEg
zFVDZ>Bi7j+WeXefypQIEWtbZ-AA_~uZZ+Qy%jd-N9*3vCPwZud?Gu!!G1E=0Fi-6-
zJ?wjh`lUA9)F@m<1J?&<+$Hyid2LY0`T>+zs-r5o{;$$r`?Ct`+m+^v!FI+yC3Eog
zFi#6||COut1y92dZn9|d!fu5J4aeZcv8M5zaQqpa;$Luuzz%D2zvuI3U;7S=-}ykt
z0r&lUf20qVzIygA4P4tU!TtsA5!{+c2Uq^q^lyjpkr+m@es1fYT-_%4N94v5O4ug5
z;Y9;X!+%8hAL^&QQVL#g;E8Wj?aOe}ZnOSsc=_Z3-5L0pvb_6Cn6lt<;yj$`ZPoo8
z-g~&5@egcn@LIqHcAH)@C);;!q>FTd*A^6-N&R^0L^tm#n8lrE7unw5T;%3S_-EXy
zSh5~)dhhCvL$G?a=*VBV`0~jB9r)b(Idf9~s#l4y%E4QE1ap4F4^Q0o*$>~6KeO`(
z?7(fuC;&&-Fu9MwC)V38^TTc`I>UYNP4z4q7Wk9bfIL~BxO!pNMP`_9EBiCj9x4}G
zq}TwDtR%1Y!bKTgj%y0&&(CjnCF>uhH;+iq!=H9+<s{D!iNDT?v+$b&&08Pf2akJg
z#$geDU%8L)-8uWFF<39{dDeS)X1*(K5T@i9Fd^$Lhl(6mzQcz8TWiUBOnK^W@4MjR
ztEv}Y!|YO*#X8|G-HU@Iu>Hre`H!%4OMFBb{HfaD!&}(y@RvODJTGE<Mfm~NRLG<C
zg_$ZWof_f8qkUH|!GT&cGBt3g48@)+WP9<yPL(kIYM}pr@b~KI{YCKi*U5sG@Xn}d
zs(g5ieTI>&zjZwv-<$<!aMPEN_TZOcL)oWrTadJ{Hq8HbVJ#V^zoXTz19L4F+CPGQ
z`<!(S!sm>vB=5meGhUOb@Wea5_&E5tK=N66SjG9{nMjydGjsC+_;!VrR2aO<Gc_d$
zi$<|52f)&PGl~1)ai@W^*WlB8*_rs@yW#glJz>r$wi41Ft8I6Ry8_2?%L{YD0qXpx
z&%=X}675_t&%*M1XZYm?V;xrbcYaZ{4IJsMHOU4~e2!Z<1LwEdo@Ia|{q(eV!J)}E
zS)~1E?xx?z2QOaNlOy{(wP)c82fRz4y?-~{$F#(>1J+BGG$H$=sF<rCkw<&1;)xDf
zFFo@>G~ow)XnTt&*`N4&*V$h9<N?1g+sO85{~EhtNB-M~7~%hzbEZmRy*#ep<akvV
ze8S4%nBmP{+^|q$4R<!2z@^x*6XrM`QTU8(A0cvrv`2+IqSFK6OE0=pB;oQ8I?6ZT
z%$Fa<NO^x0c5Jx>Yn^@XuMA60mdU%rfo&hBWZ?J=0}3ayJ-23}EG*uU=I8+b=dRC4
z+W(q5cgMwH-nVO+q<#DFL?M?nd@F15jULQZE;qanrc^X=(ubdxzw;G=dpz|Pj={5e
z>N>mO3&{z|$Kf!W<~{+~)%d>XX*l_hRwg&h&OG$l3YIhec#s!XlN&ta0B><squmZK
zMu^Zm!Kp!Y$?UMfUg7)hu(I5K$1N~3tE=i|c<_j7JPS<Qcix<|e<O<1&d?JJ<xzyd
z%N9CjB%P`&t0oWrduaX^CvnzU&RlqCCU_4yp5yLTnWgZQxPk>a-eG;#^<vm*+$KU0
z-eN}2Q4brLa@R<}lWwK1wXhiNi78S(A!#|`o$zE5n~)M*yk<K11%ByHIjIWo4>}k&
z343cPl*+>&eB-62;JS$GKNVrQi(&etKHtXrBA4X1rSAI-6<pLk*DnjtEq`L%277Gh
z$P$AY^7j^Rhc~&uQX|K6@cvFs^1NZw=%ypbt3TxWo3tk%k8&OmhUK(us7d=S-A<#4
z19os)IW7x7YVSMC1zYCK50dtx_f6hs-E!zpn<^8~hYM)aSi9gKSIX{d!0%6IXVk$;
zU)Fw-=Vz6OJX0+!?X_}>Y=4bPJ*5b)4v~09+K19yowS9ptDXoiX`jY=k5mQ18e0D`
zk^BtB4xG3FpB1xxa2Pf@xGT>Y9+}pTHH5iF91fj_&wn%8brSYFCHL4A4%FVVgRH+6
zo4>4h0zNInonZ${S8IOIhS}KqW*y*uQC}NfSW4yhb@KimYH2B|3QvjD?j!BRhk{L~
zG~fi*ADTB{Gsefe6=53dSHFYdvS!`UgD}P8k(gwdC!8f;4i;dmR3z;^)4VcICHQpB
z&jHeYQ_}KOlYwPUR)mrE*@=lkAx-$_Nfibb^oJZ&_nIR4QwDD<WQ8fY%bt<ryY|?b
z`y^a6E_Rt5Uw5bWJ9Bti+4d9pJz}aZi)6j8<;MC171+#5JB9QI9e7K#K=Q9Ca{QbO
zb6h`FO^&DJjk<3toc3>df*ik0__2HWu(6AFF**L1GeQRoVcC?pBMNXEzjRXt?2+EJ
zO%l%L-*~AC<_q2PTngr`W!z8)8~!?aj~4c89@io3bLBULi_ybb6#v@E`dqEaia82+
zn{(k+vOaf=K~jJkR(EW<OV;N`y)++Rk;QnWWQYn`pQ~APCuj|({TJ6r*5{rZE7G5b
zInDIk$@<)v$-f5|;4^p4*4N;p=jfkJ!nvWenH$ibw&#P2#uR)=iG4pEthm>VeiZI}
z_pX;7zN;9TItEw#Zg*gXxdoFP2jPIt{><B8OO@sO!!ZA3lJH(wt&iHe50-M#Y7>OH
z`ehcr!4pEJR+8|Utp}<*NV@XkCTaLOWz0l39IU^CPZQqs>sHYxn7X2@UJKUfEH!9{
zQ<xf$ll8+F6w<%ez!bkJGK}Ew3-y=Y5qq;ro5PvbPpAsvcRQ7@Tfj<x-z65oe4|I1
z>|l<!-qT6&k%m7TonSxBsIW&c!(FNvcQ`(?Sm8Wu`lZ94^k>%i6t!G{FD_1QCjFh7
zPUcpp;Stt1r$S*NMw59fSkt}tCs~h7*~(L824D6&7)|<9fAg^&H-~o_nRAo=R(j7K
zZev(`s`PCVJmvYZzywxM_-vE`ZwzACtO)BL{;HD=GhCieRf0WYm)i5;rPddYGVsYY
zy{m=r>FWA6Dfqx2kw4F1cfYOIH^9fM^Sa6U=T14Tv9<kZzvf37Jcl>4mini|yMNUC
zRKufHr?x$TmwaYv>fzw*g!H?xK=$JCCRlHeoYH-m%5Tq)cG!#KT;okx_6ny|C%oBa
z)jAaB3_4WR4{PNeV={wJd(~x*!rg~Ir=NuFzb@^chGQ+vU5sG4D;>RLeY8V*C#4DO
zc!bVz1&%!Z<&HW$?Nw4t=JWPmJ|d(Evq%2cB=ddMd1@yW;di{1V{~xEfYME6c*m0|
zPZrpP`{j}S@ZpcuylgOIH2;t++}1Grj2ou1xcy8Fz8+F-!VA~<QfNrPvJ12Qd*P*C
zM>;{+`f$ZfA^0who}4h8RxOxH=I07?JYD63*Dj3flKHuBDuRXgz>$I{&l<pK0lib)
zFs}?J9hr|SkW|9E3tkt$x!Vd>W7#;u4wv53ZnTDzGrqBK!Bb!IhRA%{{${=&7Wh-b
zg@{YAU*s)UHrR4w#tvV&Ri{aw0Zz6&UF`>deV%N)1%6uJ)Ex!ObAA?~fvNlh18&3r
z<LJKQx%&P%fXgZ?BxI9}vSlS@WtGS#TdA*<mB?OERwy$SA+pnuky(Uf%N9yzWRz6$
zd)?ok&&N5Rd(S=R+;i{ep7*);exp+3E;ux>k}eJYQ|}x}0?W2uenG_7s<QU*kizrF
za#V@<+C2sQB`b&VyrzBob}r1;5r#Wv^jCic&Qh4s>0Qqh{J!Ug(=+((Sw5#Pux(B4
z&nj4BO-XVTmUXm!K+Jzs-brj8gGt|}9cqHbYYJlfVXhtW-NgLKS!$94129jYyG<ut
z-^{Sk0SD&NP;|o&8_tE`8DIUYZ<=?8;P3RV+AXk!$(RBWZ~JA5@!EU1*2mar5uR9L
zQhEbxADi9$29KV2`Cl`9__6KYZP?{!u|zGL_4a!e3Fe=EF>f{1!O3q#wW(lhi|;Y7
zV1?^dOGG@apWre6O4w=Prymns^5@X}Q&>heWIwT<$K2~$@H6-UXKg7Le69S%?kt!j
z|J`3+So7bloNU<mJw?<(_^9Sd>AUb}Zju2aewNqrR!btx?XP@Z7Uul7hsz(XA4)S*
zguS9BB7EUH!sczn{N3H2|3>U#5znX^BA%Aywz`HLT*Rp<DGvX<#7S!ov(sjOlz?w1
z{=H@jr=?r#5c7LVZwHk0;DI|YmxbX?%bHwW*pSNAfhe!T_`NG9V5eP;yY|D!zJw2`
z!CxGG{fPO#nDG8eHn=<WV->Mp$&+h9p92=*+^<cnH`+X1$if7_U9nsu;)QqIEhyRx
z>&)f($-pX6nu_FbO$<YeJUo`J+(iMe)modVz)21}Q?{fLzaJCxM-@KK_fK>iK6rTe
z77-6TbRwi`2_}Ch+J73>)w*-w8=P`?OiKecax_`^0!OuPe<S8cC;OdEKEua@OYM%s
zzK4EH^}t8Eri+N}xBdEfy$`;bFRw^!pEGe`<{sR!$NQ}bOf!GLFb!60=aDD&_pQ3%
zup3P2_}-I94<g-s-~w+ixX$Rp9+#YhG~m#-k^@9~<)e-{by$H%KZQs?!ZLJB1a3>t
zy=4Fo`RhD62=i;6_@fQ~aQfxK2Y+26eMFSU|G3K#51bjE!K4QB1o33D!WMECmFn<~
zhI`a3u=|U3k)!Z)6TNOanD0t{w-RiiZjeh2cTJC#6YWt;Lvw``mYRsM5`!g|In=hL
zFn)&Bs&c|33nRNWVDY+(Gem!$NVs(M2fU!SZNUuhpAuF422<Y6-e!S6{ix4bfTgJw
zJ&5_<s<d$D&#<-W5Gw=x;9!-?1gzCSwnfCRSMLblIS3!ue~?9-e|-T09v@)}bt&dw
zNKeXNRp@|s4>eV7!YA*hX1Bw7FU-Y=`QNfV|6O_udl=64tiu1CnED%GF=k&4BEFvC
z*mQao>{3m>K*ZNC?ntJrgr7JjSrhU4CBm0JJcY^ka*z@8!+R`w6-wcT#|76$;hX(G
z|K-BURw5kZ@Re)NoF2o0{gtuAdVs|n4jYLu4`1=%ApF%s$l)$rRej_XF<*RyVQ4uN
zwtT^!+zYGe=A8|JE!-aOBGwn^J;584;GLtpOWNUj1CtnUI5{Yl_bvQzhqRF^?6&r|
zi5M@h?xU%_0;dIrD-iR`?04UtvW9nSsD#zSUpMm0E#apt%|D3sUR8~e0Y<Rl39j@?
zcqq|*)&RaUm_=6x-_wxsQiUH{shYolGaUscmElW!n%ao@>6x547YR5=-GG@G@7wo$
z84`oZIeKpr*Mqu={EJ+$_oi+SF@NoUzqp43c3W*f@d!S#>1js;a|O!8<-k3pq3@~S
z=G139?!$>oCoMK55x>^GQ#S)%)UbcM0q@>@qc$1ttQRqyfi>5gcM;d8dB;;V)3Cjv
zs$T+3zI^|}3wX66(;^*qJKx{^4F1Z?(tZcNpJDJV0p@J@XG>h~I1Z$n$HTkp+<J)X
zVFu@JPgmGUl<7hWEdTVsPgmfZ^&x}A_4ECy--k`$WjVTc#Cnu>bPgFtu#Aw;k!T{_
zXP=ll+`qCnjL7d28JVgIOOXft2#3c{U$8v_GY@IpBi7IT*EZTF4?Fjk&=Tuk96whl
zNWgVZ-O7mdaUJdQTVn9uyMz4KVOvGEw*v6+^`sUbI5Ym9!~yuQ`d>wNxbK!-4HLZi
z?cxpMeJJ-u7lik~H-_7PI>R$BpOx=`hol8nTw(D%&HW_sBh|=f7vQzOD_%1axZVd{
z$t3b$;k-LF4a+Tj*mDlHe|pxfAJ#eg+mgud(pg460Ebwn&$+;@U$}Y8;pLjQe%Ih<
zwEw+$1(Rg|M->RW{TQ6T2HUFs`v3YK@xBsMPq<86FC!G`o2A|EMzEJsiDV?a<6*^^
z0ld3`B%7!Y_M6(ys_-;p@<JG#*QhX{3=39%wf2KUHAx@J!^#GSNQwI&|NYC?WZ+ZW
ztzU`baT={v5{2zHDWk8z-A^j_9)uTGvs|s<&eXUOUYLS$gvkarle(+L1MmGH6k!6#
zdO7cAh5Odd9x{WY{5*Y`Va3$k`+D#ev%V@FocXR#<qUlJrgbq5e8HIKIk8^vHqF<V
zRB_C&J)0^dw!dX8x|t0B;@Qt_3P0}B-|GdZ4c8SD<<U5p7wie^PyFFAhM!z*NH>B<
zE*h1dg#$+p?lOcYC}Q{w;bV4x=7ixoX)|LY-Sloyz#%x#b^nwD9HQfpN(C#dPq{h4
zx55TRXyEAer~iolvxn@i=DZl%+f6E#=x?p+e})#|>BFQPA#i@6*2NKcqU(^u4Orw>
z{_j!v$cMknG4OxuJj}0Q(I)Od;`}&5?)jt!esg1uhB&{Av_rD5!rb27Z3Qs@ujg{t
zVA{SS^XG82W6+H~u)(<x+r<4}A$>UOUid~)SuAn?XHg(6wI+&qBa0*KA7LenLvPpN
zYDeBD#CRO}=#6AGtp3!Uix}@kxMm(y!p$n-am0EnmvQy;Ww7L#AZcQ}Kiqt|yA<wi
zO~@IB&yT-P$%7fDBD6-~DuzQIImGWx@<ram_V#fK_u<a6)DB{Ne%yBDTN12O`Z1X}
zp64u+&tqYMrrIM#aPwtez8HArS$knN{H>IRLk)I+E#*kuAKP8dFII=$st>JI!E|Tn
zJdeUEqq9k`VF&&jwW_dmRr?3x_(+>2e(Au;;WQ#+u&R_l*J=32_NL|%TuLi$W&*3y
zAI@2X7tY`EH-}>@xa+rIVIP%pJGg?z@c-+pe@NQ8IKpQA;_ry-cd0GklPj=Ap5*~z
zJy=G`T9+TpHZa6z59`G5PPqyzuRee400+D|uYVmTQwn$ShuN-qFuTG3u39q^?<<fz
zyyGa5f1m1cu{ij8GQ|#Oc(jYDD;}1vz9Z-YlTNNLJc60JVi$?>gtxrAoef{<G7P#1
z?@F)WEP|V_YiroT$C+={6~irjG=s$PkXibiE{E@0|9L<h@A5^B@2_Bm(rU@G@D{Ip
zU_I;}nETTJPO0DKZG_9NpN}+xR~J`G+F+9r9sN_V0?#Xhc33!&VoDbttj+(_2TOZS
z=beC?!kj}t!t#^7t0!U3Y1t|wUfby^nHaG>c3OAV4S1N{aM}$1A)?;EfOx`+mS`TL
zyqCMZx#{7Q&h1A;|H<Eo*&yOq?FzhDbKw&Gmu2EGe`R0+(H}1<q$<n9F)U?g>tV{3
zXQo6vD!F;{w+1*^;qDhjcv|n+xgJ<M<n}`%f8>Pa&t5op@v^82e7U8Sk{jn!+3#RC
zVt+FuwD)*mMgjAGMEt8teYcDSY=7wKO=AD5@lq{k;l2kU%*6KgR|S3xgS)r7z7Xk|
zA#1_maMg*29z^=-w)E;)Sk_*#Qx;C&X4a2`f5uZ<ABVLw>LXL&z?Tmym0(KuhNt)7
zrNqPir(y1s9t&A8)8DsJx^Saw&&^Vp;TBb9JgnB8+4u^UO^E+{8(!JdHCF}KZ*cC*
zg#Q%h9C!npsXz352s3`3Jk<=Z3<$-S!g;S=M|8lOj@gUFu>Qo(l5RLv_|UF8`0CQ^
z><~=0nQ^`b?x$8`7=s_r@dtOnHw_P-nueYJ-W_d+`}U5Ge}$7?7+>m#y`ML+EyE(6
zb<Mr7eWtwXDy&p@eCi9Fa9zm%H_XAAbNn-WH2W+4UwF&Np?v`^zSbH}i}CouJa_mk
zY`c=cwj0jY7}>J|U$aqFk%xnw9Vdu%hF<PI1$ZTu%Y{hqTBoB|h4E3rwq<x~;Cq%D
z+$O+c{tLE0Gc|S+*2pn@@e^*G%}CRSDGRS!Gt46Xq9w~l3$_S2vSSbI@8cCg<o9mP
z;pB%u?sPjvY)@zXV*LSFfnV*a1{{5(cSIIevXfRg1`qE{43dYtrb+EoV7bxld)lx|
z_uK)ZygMptj-P}NG*svwg`>Lgm3LUvGMVu(Tu(l|Wd-kfdG3fD>}hYn<^n(7lK&?L
zb1qTUxWXxHTz4d3w~O^BufrGC7EFcUFA>+4eBl2oI_8P%A&aM|e<*x~Kedz>HWnP`
zxdD48Tvy)@+uckmj)6;Km3Fbi4(;j&x8bTB_WK;L&Z9r$$uN)fkR21u;FBAg3Ja{h
zSl<ixG}tgaf}b<ER1)oHCQA7t3oi1}I!(0S`fROgA#8i_4<jXf_^ZQo5v*~v=kZRs
zgoX3!OL(7u@TG0^hrHa^EU)0tawh*skpAnWS56(=v+G~uFQn&OVbX4Z{VsQz68)(!
z{6l{$oR`ZyF$X`Y`OEnMX6u@~N?gB{=_?BQVIze=h0n0%fs=Xza00b<`xm%>j$-r^
zeA3<1qz`tY<l+AeOHe7y^}~7;qfZxLV_#E`CRk~5dSeNGKfpx!4!+5j6TSi48Xbr$
zhZ|o!Z2wK<_Zrz>0XqxYoF$vX^N_z|g?Vs)u+Ae&xctj)<$QQtgj#|g{<um-{s`tX
z^zC7Q--cDB5aR)*`%ybKSWzyE_YQoglp&83zT~p5l>}ehozy4>drR2T6624^;%`R@
z_&`_b;dt07E+|9=?mEu+>n1GNG<84?{-$Ne6AkwiT~slG1<zM}4uvBWTRt1Zq-HkW
zH(<xjD0gd^mAvezKOD|ByVn*z+q~%z1lx+aNV>seyy`;Uu+!s~UU%63RFs}CT)U;W
z915!%we9hMpMA)^a|5n0y_`$j56z#r#2X8rUCzDa46EkVzPSzO^~@x=z(XRMpEBT^
z``An`z`MStgg%15o-+?{g2hUC9zKJYO@meK;lm9ssxM$;>e~O#!=F2TS~bB}3r0n)
z;Ccmhl6SC(K;?`b+;Su?e*!MN-BxH0FV+v~PQiEAPW`rlcRI|5k<Vj1SJSOEh1cFo
z2~onwK1uml!jE73b@9Mj8wZXV!9D74uJXY=y|ll~;7_@<Tt{Kj7pv9!@X1q#^-6F^
zM54X{oPV2HPXn&m@MO|~&or5>Xu>KUd-G1hS^gYB`f$Qri?||8F_PG12+IgNG#-WD
zytgp2gf+$GA`ZjX*W!O#!9#mLu*t%Q%uR1N!fh}AdvpMfPpxeG54N(~lo5nW<buuJ
z;nUPNUo*o6GJOv{iTu|Y&#=OxwD&~=;OC{(wm)$_&3L)DG7P3+zqz^rUorTk83UV9
znC}>X{fAk5@4%;>n-d2KD^A;`!__@poGtL>{<++Tu+rb~(pI?Er9vhTzWuK(Bop4F
z6L_u^KB&BlISc;id}iepOvRHmm`3FPp^#V!v+n%qoDN@(q1oREH&}A5MZq!g-4~l+
z+MUi3#Qmp_-Qyo0;GK>)==@<vKC7eMuut#%%m6s?kW}js%=O^x!g;ukEw^kOc9>5I
zya4<11t`zJE2GS6Ht@g!t*KeqtNTnpaX;pl$?diRUp=K_r4Os7<h@*nr%10YpMe>5
zgVncSy{NCxv|(>$<*)x>ieB9z;(p6Zd1VK~0?rT0m-mVL;l;?}97Z@K<*S4S%+?<v
z%?^*9)mc-5wab+IIp8CAuSXn*&D_||9e~Te_Up*O%Htgrg77UNdotpFdLq=SR2e?3
zR@N*Hv(YgasuI7iIUXzzZy$K@=PdkB|MzQUxc}sgxdj~UDS3vt|F%l1`)UtsY`HNV
zfqP}VBG18jq>LYq!3%!d(gCo7;fZ)zxLp24e;~}cQc|t}U!`zdiGzPE4EjjIGW%E)
z6X1zu)y%^%l}Jlz7QB??a83lSO7u3&fm3fJ{S<{SIGvd&f<3C9Rvv(#pZ^<L0`s~v
zO$fo!IVBJ4U`9iMY#zAwr<rO4yqn!bjt^e8m+EYVtE22U_rWhU2HfAnv75JJ*x}&=
zW!t^*+Gdje9$4(2QC2^kMBgyQ1Z#d1lN^UjG8!M#zz5dbdp^NzRtpMrME>eLyIHvB
zX3NemB6yxxdNcMrY_I;@a|-UD%io@X)k9NiTH%Q)v6)4<);sP{3w$zD*WwFoOmXvD
z9o$ae^k*6-7l{sTfbX&9MJ~aX+5zg7aO6HtQDXaHI|H7+f_+XMc}Q%(!s)zR9_%c{
z{COT;54e*37)}k8G?{`&8XYb?fHN&pHa^2TTJF8+u-3gYrxEzY^nb~BVI6-a+A;XD
zzv;mwxR2y_8d0A70`0{ZSkBX2iP+!AnZrT1;q1%GZOd?-bUuSM>=v{?brY_65SVQP
zr!~<Dk}eYehiopG!WYcXw2;BqPe^T=!7h80Olje2vM+&JaEV~~J$hL4<5NZ*xRNbf
zcpqHw&?H3xE}f;j!U3O`<~*bbSMUA%n;)*Xn_ZNGz1Kt@2*6qQih>Tqc6ZrD#Nnc7
z1qy!HO4-#_3QmvsnQ{PD-e<dY1a1oU<k}0r3d~VG2A3#_K4peu<C8iy;2E-M4?6f)
z)iZZ3c);-<1wCA>lC!N3$KTqH`gaKbkHdP^jbQV_5-t*?Usr4HwuJjAEhjdRE?_x$
z)f$fL+<A2qE{=V_;{se&RU*3rUzH!uz6jeNv}jp{`^G*<xxunIzoX{ir~8I_-QhPC
zSzL?oH|Y=dzVNX($0t6+{r~#N{Nen7FCNqIQcP>Y4Y-ljPj(ERo%?V&0={_e&DjY!
z_5LgU6u2wz4A&rBq+hv`3X>dJD;<KhJxhWf!GCG}Ji1})iXy&jcuk#yq8A=KlT}&>
z&j)cwHNxMU@2-`=n%)(hZ(+04sE}8%%BRDhs$u=M0RBo?-~YXP4Sa|GT3G|EIPvml
z5o}?9=Eqw&`j}Q^34H65cGw5lynuiALwI$5@4GJe<GYf~445=)x5*GJ+rn}#1&-%l
z{y7Y5MQ8j-h5dErZhVIMI7lnv;cuqRg41wq*sYUy;L0EMFTTOMv!`jJ;GK#0OqXG)
zGN+7a_-Ss^mkqcyjP-yYJlu6m_z(QXAgSCRw&zqVC;Nu+i~Q?#PgwTJE^`X_>UDb>
zFF5rg#aB9bS9Q^cEAY`9T{r3Bja~seS2*C+2j+e7@{`qEQ&^0D-ycqx<i7n8b6CTe
zHBtaRKlAX9K1_G0_mB|W6hw2|0N(28sgQup3w-vd!rd2@|4PG#q!T%6aH@t%)KNHa
zlHsBvoW5&C<QV*X+;j6NeB|tEr3TDw=nz2-yQsVg(}zu7F|Y4}1q^C_Xu|jM-`0LQ
zi27T;%0;9*zS}x83BP<5P-q4V#%QOsz>eliaaOQgnD@apxQgpHmm}ffwBkzml*6dq
zf3Q}3qjEKT+HP*i4Sv`)9-amB#q#uCgO%GG)-vHl6$Xtf@b2-EBe&o(E$)LJFb7L}
zUIhHuk~ZB5o{b$7@q&MK<&Ry4-8cu*JYj9>Wc~B7*4&nWI-K)`oYe)UyTFjB3Y$nS
z-XhAEV#92D1kN91J9H85KPC279!}j&a^D92m?0A(0e992AG3q4Or9S<2*;XNlOKn3
z%UekJ;IR79$I5VXfoml@tfO%83KzUqc5-7s%=cNlodd3Tn9<7vn>NxtrG|U--5G`9
z6OD_zso>ud_ksjr@_^1@68Mwbg&J|#lCJR6KlH!sA2A|gaNE(_20vlbW+NwAIL7M2
z({(r^`+<fuT%#|RNc4YwZp$!5_+b<2+9VvQ!cjn^|M2h-CC<<C+<hx-@S&w4`qwbW
zd41b`aB*j4$a6UB(yz}u;nicaZ_42p0Sbnc@IH-ZS>k*@mV483S{U&h_rF!XfX@yO
zwtj}6DYu9e!4b8c4DaDUy;r--;J;$xL9MX7QC#p7xNy9OtP(!ybET0OPpYyNJzl{B
z+3GUHc;ha>K@vgaPxRa*wl}ero^TT;rO3Yd687J3I4=r!)aSasBYvNg?<Wp(8IEmr
z!tASxjm+@Mm-0`2aH#GrBUU)iWBJM$99BFuKnZUYv6fE2(@nfiyWmU@gJW}Wo~pVC
z36Y;-Vr(9s-@5sF2i$p_{qh<tPj;B5MF{IJXW}}E_MuLo@@<CO_0Omh?Q@_#P1hf;
zu!;Rbj`qAGlsOgv_l@;>5aWa7uiQLin1h=!ks0=~Nmnq1hxsh`bHmO0A%Vx>T*En1
zewZZInO+&THIz*df%|{Rn+U?^HZt5L;W4UxUxi?*wQt)B@UDYjomk=ISUwdcc*pO$
z-}~UHdbf@fFhhUlYX&%lEZl`S-{p0#pWXwXD(L&G2kRt@b?<=v*;kbeVdZ!K?8)H4
zUuy5q!fkxH)2o75@4;h0L!2+Z^zL5ku!wAS+6DOBSYP!B{8=*H#~D8JC`oq=E>v6I
z=?U*7=k98U2c17^dBXuW2JJdvg_j~9gJAuT<o(SseI1)u2waw<_xv3^;O9yn1?Nlc
zyjBOxGoQ_ghSxS;Q#8Pi8c(GY;pQiNkx$`R2VajA*h!?D?HPQkt(znhR?!a_$%l98
zm1RDHUwIz7TnHaNNF`A~q#JoH--G|M*SHkJ%Q9TS_u(=zmaUiYFJ4Qs7?`xbN~scl
zU;F27EUe7K{JsG`5}arf4sXv)UU~!9)JuPjfHNK|ZN7({hRvM3V0pgx3Z3xs$K_3L
z*nvgp-2mLI9)H{xei(0?I||=q=I*qE&xO>;OvA?(9>tr(tY@$GeT5@!#rV#`O10e%
z%kYV&!YKpzgy0R*6_{yM=Bg3gwKWyL3F{sg_^Ae$zf$V@3->TQi8ujQH{Z9RSi=9c
zHQGC*@Z4>C%RTTBv-}-9U}xJu?Nl%Yso#z70(f4(NkU5pcfaOcUxIh6qy~_~e;C%i
z#$k7fnAbbu*!|gGN8vcV{o>o$-@N1QCw*|taN-9Nq}$Fkvi8Ch(+8D*AwBMv<WL(d
zc0FaBDDR}tyml*0?jmxAIG(xdXQ><DbGs6kSK&RwY`%4H@|>XkJp6@v>u(9Xv@w_Q
z4Sv?xbh#M5OX9~!)Zfi@1@Xslyl4MYqW<o+f27NTw`qRd?T01Q&vd52C*SBCCfeiT
zIRWKVn9Fc5rvsjse?$@wmof;S=z{y+`MKSOSE63Nd<V~Dd#we)J(HU2ZE(b<a<4D^
zrq6nS=r7TyPnceUN3=(nYhX#H!_EJ}_Z!aNd;xcVEWc?7-~I2tU^z@pTex8ZceEc!
zCHiAd^GjbnIDI|*<5O6{@cFzh92`um{RCFjQ7k$EpWPuhlMfr6IL4_CH(#$dC;GcU
z%IIe{xRFuYlSp4;Yre_>yIpA}eFh(6t^Y|4ht^N25dD48I6HzC<~MTaB+5(f5J&a*
z0P>%8r6c-#_}R;8TQK#3@9C|uy4dL1AFvqbiXze9-QJbY|AaTpJz9HVE3*~xaoAVi
zCU=m?-_%h130{wwl$nG-<nad&z&wY0d#7N{S1a^GaO;?<!vegN`SfEc{AR7!e+`b@
z`%|+7cJtC*BHI5xN2}!_cz?q15YZoX<un#V;B9S}|A_utzgz4(HGC|kXo?9Qh_AP!
zf_HW^8`Hq|(th*pfP*;it<u75(Rc4`^W%O`jr2URy{XksqYaohDTI^~t~YXd`vY#t
zoxQq+{ddy~?iz!8Sx)JbB3*COFJ&Blr~h?~8V*x=X8sX=)M4yTY=5$iVs-$2?E9UX
z8LrHd%kPB$-L%YSfmc4<ROp83@;2mo;G01y!71>EIM0|vuuGo(N)mi*U+)$lT#>DM
z#0u67_BRlNnev1S&cX-n`Wp|xHDrs=_Q9V?DxXWi3{BIj?69!X1vN!@DV=@i%6_!R
z9anQTIK!4Sc@<93<DEGP^KOyvn}U70cJb@M!9HJeKf`wPRb{5Ij%@E-8$1_$J=zj3
z4K29d4qIIoWj_z+@jN*478YFCUEv5Dgle0;gX7G+`@P_EEmHgH;7YuI`Z^rxJ0jZ%
zn-0~*N5YSss()6(6Tk0^N5itt=l0gXB`XxV_hDr+#r_xYo%0iO58zK1Y0sC#4TqAh
z=fZwc#nX@Bvm3`><ijR<KAw4S^V+)FGx&3mx@-pQdHU_db2v|l?rkRg@wKn(Yxww)
zB#n6Zlj-ilI+&xxye|O`{M&S-1?KZ%Ns5FAl%fV&;l9`b{%H7|iQ0u8_`+P=mr(cx
zKN)!+Jo7;B>J3=7wEE5{ydAki#vk^e@sS*dwa0531K>F->AJ7*)LG}SYw+&%1*=(j
zQBPoxH|+2Dc;P$jH+l8$1z3%Dx6nFl8Y{H_KX~e0%gev8PIk+bE$o%*ZS)WBTJmwX
zhiRWnPf;#oJV|1fwt#~f$Afmkj=^v1&%zWLX}cNW<FC$!7{bQUszrNX8nvAa#&CD^
zmLdmyhAOq|6ud@}HOL7+KdfeZ8n*YbxhMcTM1SDXfK5ZT$%SB3lWQfKaLvWncO~H2
z2SE~YaG&*Bhcs*={8sk}{7lnzQ61)!Ql^uF$$wEqX}|#_@3rLNSf;JF7h$DInOzdF
z_We5!PB6EizkoFSuY)ew7ye!{I(-l>ev--M4=26|^b~=oVr+_T!1q54$?(IP>)&)D
z;7kvnHwR#^Q$>Tf;bD%>Fi!Zkih@@>EN^#t4>w#zy+NJ^XQaLEVTOZagR<_y`T=J4
ztZ-J_aj9(hlV%nlJ-lb+O-Bwq(yI8B0hW&rvo40?`Gehd!MX=2{*=I(%f+!YupUqN
zzIvE%W$rW?d~`Q?c>}!VP_nrbKDMmxFar1Uk5z8-As%P7etQ)DE`EHS0_mL|b&A_?
zShMAeEu?Si9vvk4j`9A-xd0;FLh9!u5xCa(@-ZTP<*~c67;MyYVr~c0-*6T$Xu>yH
zRPr~GZu(d-QX6h89hLtB^Jz@88o+IdmEKdZ>{rF_Ca}#*;kgO;&0in;)9_Fn*})dL
z)-CUdAw01Xbgvms{Pwv(2cBf3AC7?^Wl{e!hLtS6|GN#3`1M9u!*Rw3o?L@3Wrx~0
zzzXL=<-FnHYp1_mf)hV6d)dI1q(g6AVaIAGay!_p<FV0oc%$mGx)!WcPbU%pzdI+^
zqYYDsk5-1m|CN|@3&9QY65=ti+|dNvgYe@DlA1*Lo5S8u`(Q?sJsT;o)?=M3?C?6x
zba*CAKVG{?1#g+o)Mdky{oj0P;Bob8y&~BCc$Oj=oIX;%Pz<N^b+nMfu1BMN%i*>5
zfLnigasOc####aM)b!?T!|z{;%C^E9RzBx9;PylNd)i>N@~l<dlh*t3ZrJt0{L^aB
zzQf7;=eGJ_+c77VRahaqHf9XoOeZIqhyP<QKKKc~EPe3y0!;QZv|<KUQn?n>2A|<)
z5nX~aDx=xk;jyZvs-JMk;cAvB_}OlQM`SCwf1Q7x6Agd5A|Xi&YfP+67{Klo->$R5
zinU!XM(`#__fB3||2<=|A}pMJf9wG4=J{1o2{zphxhw`#1zl0#fH~Sq#t*|oR5Hz+
zaLr`$6(x8n<`_9S>=d<IT@{X-+DxE;lkffN)`3l2(;0s7;Q4LnC+gGiZXbh(KjE!+
zZD}U(Gn)I>OYr$(1vxW#JgJ&;4ep=$J>>>#PXB6}hi`nk5aa<<y0g13!;E)@MPmpD
zoD`pd$sXKkiG}s4T?Q85idLg*d2n4%eDY`b`*by9KK%Qk+lM)LZ^wnx?_oN{(3nZs
zyzawXJG{@fMD{EEV<{&2D}1E<+4>mly1F7g3%?qjcrXR~q(A+%V-?r$<pHZ<Sh$SI
zpA3F6c<MTlf6u<zw7u}Lgd_6(FlT_a919%OSZFv%<Uhn^ECl=T#xr)o;p4vFh2fes
zt&DD%G1xIk3SNv5v}uJG>gzZT!+H-!7TVzd`U?t<!d&#RPE~OA5#!It;qt+w8`bci
zFcl9i_}|%2o`tY);&8!9SkzHrCLd0JyU3vir)P|vPlGAEJdHJAKXR3U6!=xwjV2}7
zP_Tk22rl*&zo!Z}bqYlUz{id$(HwzIuY4f80(ZViRwwdbcGvWBhH1*OUJ&K26Rx{_
z5T1~=Nm7BS`vrd=f^}@n59q)X3&q~-aCeT4l`h<OlAeMSZX-RrU<~ussHu{{r#Ln1
zEa3DnX&vOSw}-l(158(|7yFkR*Goa!`ExLHXg2#lm~mO!=Q3Q%lz*okj!}x_^@8tD
z&hT`=aT?L3fpCLD)OZuTYlr=*V3;Ah+4&v(+5g<|EjTFh+@U(y^R28`6l~2kbfOVv
zGd!A@4v#&#OjZS3%u-7}fIUMexN6|TuNm}8;IucCNzt(S%)|9p@C|>F{ju<#xyNDk
zu!GEj41YMsgSz?+%$1=g8VC>M?>X5H-weyV=m^^j(sFgf4_>}lzW@iBuoMl!ynLGy
zdN7OlV&FLJ#7<U&XHNA@Cco%rU`aahUvjX2WWmG&9PvRcTme4wq{4L_zULpME(vE>
zs?z*~I|pxeNx|Bu&fNP4|L%}E%?B^&nRV}2!|z8$hWEpx%opvb;h#O{dUwDb$r>FD
zaQ<suJ2LnetGP8B+_A=<KF@{Y+mR%}4O8T73N6BczWKF+ME?A%IU}%`jMI;U@C3E4
z)EKNX6?j7$emNAn+y^^L4DraoAs@~CKf;=4mP?diFPSLC4w&Ph=E>u5XS?;gPPp~8
z)sQA!!TUnJ4*sFHO@9)eati6Hhx=JsGYsKg+uYj~@S$!8MPu0eggZwS+)L}%Y6bhZ
z#t)UjO$Kky+rSAr78jnwM@dH4F2FYzqNlRpfJ^p=F2O3CdagMzuby9}2i)*2|FZ{d
zyHQ}}50~<rx_QD`Y^@77U~(xd@yoDc#kYtESd^5q`U<RdnwBLF?t4KYZw<#@I;ndH
z)|ShEV*{7TTpGCt+spX+$ig&{byHce)MFY-dH8telzSm;*Rc6UoXEd5Lt6|-9=$9t
z221~V6OaQ>y*l-r6K)l*f1U?##J&^cfW>t09ms%1mny#Of%Od%>M~(5Sw(Y3__M<$
z$yC_+w-^f*Jmg~aJ`Fze>_y~GIMYQ&DFIF&EzsKL#CR3LH$ar%hC;r23$}Otr4<Fg
zPL%NZ0h2{eOhv;c;th*yu%ctRQ5f91|8>CvTppgbMAVm*m=X6pEO^GnmZ;DAh%=*;
zaG<yD?*RDwj&J%Cu%slf^EEiLevxhvzGSmW;SI+Z-46K(+fcN7xxnYT;*~q#AjM2Z
zH+Z+0!t-{xveP~EB1~1T<o*_JqEY2?f*r%=zBIy`ag4X^;G)-?+y$`z^K&+ia6;Gf
zJ5S)%OsP(y|Cq8iw#UJV@s=6(aD#iK%59i^R*=C0UUNwPc^<Z=yTnYScMo}7ItRC%
zl!`EizsX+vY6vr%*i~D?M!PJ}8o*<<0-{E+>H*u2D)1R6HG5N7z)<g`GVHZY(Q_K6
z5jSoYhdE9%>@<KczS30`gY#*7ytQE$Bja*T_|`^i(JA<dg6Sa+IO1z0mpXha(KeSF
z&U1G)B+jR*zDw*>uyCx{n`7|xm21hrI1o=&LGnulrjCuG-hh)xYW`DzZ7!ume1)~!
z10EcOb?jgM{sPacDC|BATWr7a>Vv-(eN~f#lMEK-dtf2GjOSu-)YCr~8sV6;M`tBr
z1{=|lde}vH)m#{+4?J%66jto_ixq)CMqGbi0(W*w{@V}l`Y%T7AxzHoL|PE0ZttwV
z51X8@%;tg*{QCAI48CN#=uYIf%{qQ56waKzKShjR(ti!Vy2BH@W>|>)X*-I~y20Px
zCEeT$3v<2sXbYF#`cTaZKMN2%Wdo;q`ij!S{FcYxorY)oGwk-jtt^E{b>Z5jligIX
zdimQ|N8$AE))aK`zjj4YMc7eprx!VVT197G3TDryVxWYn-@Ubwgi8j>g10a}e_j7F
z%me4#dh&t<=}$g7>2t%%^Lhfmkp8_n`aK;ya`dppAGm~!U4<6D)i%(&3d`<I63%DG
z{*s%wDe!xpo`L5Duob6B+-`VqqueP3HdfDwV}W00&8&yQYHB-qc;IS_tVMhH#p{r8
z0a$nRt@k;&*JE+7IP5mbx*!Dys~jqkhvTPc?IhuLl4@=V*e`#HOBg=?Ubcd0-^=WC
zcLd=c-zH(AeFe2YoZ*I>b&odw|N0>Op@|bVU1*i&LweYUR8?Ad@j{;C0r(VERyj4i
z@372A4p=!j(vuW^J(})Hv|qhQ>KqBolqxhqv|kccXx=Y2#E0ud`4Gp~dLWr|1I}LC
zJ5RJnm{aKR63kKL5k|D9LQ3zEdH7=V?*1RBzq0rdzg74e>+_?;_0-da@xn4Zl-0!f
z8Rn*ActUJ%!uMj>Bs?K-;?6p}SJ(G^7u?}=r0*}x>c;lI1AbWJT)PP~-4rdVfv0oL
zNQm;YZnW%q4R^`jn*WFNZllq)0yymLCDENoAE);^n-8boPGcd5jh;mwO@-SVJ<N&v
zajN3YN``q`GSsNxv@DshaCrKW>kUTu_0N{MFnE}M<^z##$>PIF+;7=TJ)++O@B2d=
zW(NBWoa)#GpQKV1JOE#~_aug>&xh$x>IC5Zom`85P(Ee}B}Q7<s^dn%8Z4^$pnwhz
zcVeO@>WAUI$lo>GPyfrg(ef4kbs-|@2b{vU_Uto!f+E)I3+z{N$$bR&o0+61?#JaA
zXDkQd(5C6{eeiRg$-#H<=%*n5LAWvbpk6af-oJgf6TXrt@ct!insBqZ2WC0yt?~l4
z!*#U{zMZz>mkyV@mXZ?r<8Pc<NrTn44_$4BZMIuPLtwecqT|H>g_q*8SwZlB;R2<N
zuxWGQ*aet!Jka+YOrj`Y<OnZl{+O?YBl($5pMbX<#PyqC!{!H#YVZZ`M|H2^ul8&q
ziZFv`jyaM4WM34G61>7IJxlCg!u>1-2dufyqWb~<UR@K%34b=t8|jDp6W?pC?Zf^I
z4-JmNE$y5=>+nU<+KWVeQHKV^FT#@AX(Yt|mz}bblnbzbF}eFESmoKZSD7%A+<NCX
z*x_}CY8HGpJ<j$geCw=gZ30|q@GX857TDvceHZ>c7s*SC_Dnpd66On+@AsLfgoDQ{
z==@=kQdVDjcrQ;^=t-D%<Q5$pJSEieOB<$YnGRrpX|gr1DZnSRW=ojh1PZ+cIrzJS
zIu8vjITxKT4wJ^!ydwHjrfN%wFq|;S?=z3`M3niyk%aRrizbNU`<@edL;^mmLuoJp
zU&xj7lZPV;qbtT?Hfi-0S(v7HTKFT(-!w0M9M(;{7*F)4gLCUol;C{YMiS!x;Cs51
z`4ccz7?w^E>1_|~)M2^*(gz!0r{JSmr{IeJSXAm^p?;Np#PK%Nxj%gcM@(KxKMQj{
zv<i9wzxaHa(E{EnT)A8be>}2fXb;a*95gF{ulH@X*uq6SBHlfMPrSZC{U6-mv?`tn
z+bstMUw};q^fOZ6;s3}RUEuWA3d&^ITjsC)6_`4o#hds)oUQEda}5p`@E?zc+p^u4
zuflJ=hV{bWB9%o+qP_eBl*&Wk^T$5r676|cC0)=5-gY*g4TU4SH)FkFT6X!qAed|M
zmCFS<bvcXq7VO-@^zl5r&}KFi2s=uix-JFJT_a2Nf^$C1GZ4=Y>ZnM+66IyHe5JMv
z?rN^fA&$rBuigk1EYLSf=>T_|T8n<i^Nqd_IZZ@;NdzvvU4d^qe1BjBf4{FE(Fxmy
zHCqw&A00Ww-3`b0vDazBl4GN;uizo6KLJGha-Xr=RSCPtR<;xUt2T~O@ixr$w=kOM
zUmQC_d*a}|T|;LC;I2PcJgwl<ic|Dl@KE^#tqn}_$GV>hezN_#<Pdz`&Oea`zV%N~
zOBAM{(L75EyQZ(r{=)M;NoQZS->kUb95)X64cDy7IIY4Lue3btgn7>S3D3h<U-F&m
zhNCoGuTR0n4Uzu2@I=!)`C)hm{m9-Yu<MQ=H+x|3RC&z+I3U4Rs|}V|2p$iFr=pv0
z)WOoprr*`z^V=s+yn^R0C*L{&+n-|%ErO|Y%<d7-liMm^s^-A|{>4gD!)vO0I3L0_
zqc_%O@H|?%rgkI=w*L1#dJew!Wvk^5+($2Zc@Um>`t(*5T<l{)K1}%K*0r1P#rC!@
z#Pj!yz2&k&a75see;e!@cCIJ@mi{jEtpPUJ#dG-@e7aCG{0&@qpnK{nyg?iEqY55i
zh|6+@nY&YCiRb+uX_{=8;Me=Rwut$FpNo`3_VD=fm!y~Q`^h)@c5tK=2W2r_d_RKT
z9DcS_<Y5WCf0A~~7_R3?3MA$u4t?u?tqbcbX0T+yHA)$WPr>E1y%EXq!Katj)L=82
zLGDy|)cMFIRk-aZbzB@=rn&Rb5jaqYMkoRHa~a8$hqs56Qf|RDPYdlN;0`7Qi6}Vr
zMEHOhY*+qYMhJXr$t*<xKDB8h9|l{vv4-!5bvtWVJ>cWc-%qf^)n`jeufp$JYou9W
zLl5eB2lx~7gVo)zvE~mUVm?P^HPVR=zQevhm6-2&``Gy)1zfkWQ_>nHU9!$3gLz&b
z&NPOZsMPHKupnM8Yp((^UnE^~WMC8iZL0j_G~A-ho3a8&YI3OP!}YdYyT8Ly3n!jx
z!k=^~J7(b3&m7v?aAE&0jjwS1^%E7!u$j<0`8ZtX%W_5)UgG}iHwss7AFEe@#Rlh&
z_Q5}>Y0QcFuE?Vs&w60aV5t^jKFr2y#-k0so49Fv7``s@d#(ju+2rmb=G$hTFXq?7
zg{)H-Md4RV<a~9o@)gQKez<9TbD|tpOML4p0BeM^n!ki;hi5)<!aqlM?<<DQs2_QA
z!`#bKafPt0%9|Nt{?DgGL_Zt;>Ej*53X_Ni9?OJ}cvspI^NsmRfm<o?)6I(;#QgeJ
zUa@B~yikAhA~C;i%KKF2He9YNwN1>g%WZrqj3Itce#VuUUsoHLbG`xFrL9x`hS$by
z&xXLIX%aKDupzxOyARyr-4RI4r@s8Yw95<Tt)jFYg3n(iX}tnVOlJHXhV>=xyt)LZ
zIQD-e=706b3cMZQvi|>Ei22{kdFf-;aL}z6wPmnMdCdb8SS>`=^f`RukV}jqd}hH-
zE(^AaO4dCIi;MmGkPTZ88Xwhy9fl5++<~hj!~PtH&z;ZJAmTkZCisRFU^4Pe3J>`4
zOPe%FIMVFugR8Kbhfg&R{JKWQg^0JQN@DyY1ZNjFeq@3@^AeT0V81|#nE}M_)Xvfe
z3Bb0#wfZ07>;8I2*<cAZ@va0|?8fRJ23Y(=+QqvteO!qHEgaQd{mKUp=(6G`hbOIg
z_5I-Ox{Z6Jut(^jIuCfa(-X_z%!t2djWYFw|2As({(_6e?lwEaROgC~XW>=Z6F*$w
zUGfxTbFgKmQn)vqv~6iK1lt*mKPTcrKZF*49fm(G4ycF0V^@D(Y=h%8FL@C0pGR_4
zzrTlhnH)*u;O;tq_iEUQc~<fceC$!f=4+Um=}Y}Rc%9Uu>IHm>jMw}=9Oj>{Rt_(?
zbI#_#%~!?9O5lJ+<DgvFGyF<)Dg5cZ0evZ~vgh}yJUF{6BKIjw{#w582|UYtLym|C
zH5#u?%!GSOUw){91$lpSX2F|o&#m9UKL`BA(qP)C$#o(=w7cwuV>-<I`qK>}K9ply
zQt&Q((w3T&i1%VWpCOkFkC^OKBI3E?toLlh!lvpHy+r(5-mF$o96YsC{2UR_B_7U4
z5(ID5dn6F?pp&&{ZUw_}<sN)Q{8nukCzTsq!1_dg6W(yvNN|VMkLQ2df&L=S|Jc9@
z?zgV>BH}?+vfmF~g7tsYQPRRg%L4Zt;JJt059r{kohSF7hqdy0#aQ67xrbAh@YL|+
zTUOXQt^SfVEM)w}m=`W)U=T5Z-!d*Q@WJfn63<QH=|3xehhUlS4Tm-1KgNIa#o$lV
z!_`_an;VIu9Q@OM{IwuFmpYw9#DAIY>6a0JuLg`$$iNgiC(76M66?(l#~p*~^^C<=
z;b1SJZ6dvIK~bU`Ru#56OT?3o)>!6s!uyu=+N9xvp$|fJ@OVh)hAiB(y^&D^-??6U
zktmODM)pJwJRLM9LgW`D8!^v@qh?yu55k<h%xvj!Ud=UW5!iLfAR!HwWU<fM5C6K}
z$`}c+WfXJ@z{ctHQ8!`lgE&v&P2Imy7vMk7R?>+0xcFovGDo=b+W-|2Z@FsJdqM;j
zRWKG3geya|Y7WAUUu05<-&cB+9%F+$uF$?E>O0N-a1%THSw+m4D4%eIG36u^=KG{G
z-H7_=_Ys!uf@j?qj}zm;-VU!H@8G@#(SBmQXxy)(Rs(a-|NEQ{`&pEczJ&XiWqlvO
z*6Cj^KZVmXid%{E^T=*9u_y38$#L6onBmJ9_hXn$BUqUj52Eu;Ki!A7c?$cl!CpoS
zU1>14&&ikP;dtju2?=oiL)TLmV8=Pyu-h=H60L{{%x-)~JpvXg5@|4npFUQT4TBqF
zn=*;`_HBobAHHy?_9r<azFp*2%#1he<l@C52k%Yge&P!EU5zS|hX*5HM?1kiG|!xw
z;hl9>y7q9zXzdPGIJ->zl@+Ya$ZD{K^#DcthrEs9Ggr7~{=uw`txg7TYIs5OH#j@o
z_mB?kFIs3ttS5N+?|QZtY!~X*{uK@o5k0RAmmI$AK&-bIrIQ>x2G9CR{(n8j*X-#B
zvT(MX(0`Lik6vD4k%47h=LZJi!!FjT{BTfHE7>S)LF>l2AO0i}eU(`MLGnYmhYh~o
zc9n`)|6%o4<<vg-n4pYLJCR@SFAW2H@;xhk2W(cV@Q)S_W=URp4KEn|t|f;fDLrr0
z!rBwghe+V0nWA1|Jqva4L#JIZxm@?LY`Eahvh?3Q7~j&%t8L)jk4M+m;A(>y13NgQ
zFvxZp7AL9B)Pz0ay?AHfeAOs9ZP=vaRp2MM`#QfP7yO@9aSf3kxo*};tPf%k_VFEr
z@0Iw9He<b!1(#;!1f1>iEcq?WRM5pb1poPdv?&d)xqHiW5<aGIRU#FxjPq+8g?n}<
z1O~!)l?8W9!#8Z2XZ_*Oxp!+seuZd>7H8OA+evyJ{>|?oeF?VVp%Ng<(|PATqXld%
z_UIgOJh`5K{LJ8F*X7Y~@N>_n3wp51Ny~@C_I-PULe9Vq+~f&Uu*St1J7sv!DKEoe
zIEAt7rwXhS997#7TYP$_Aq4k)r40T6e`byz5r*k3Iy~B7-^9f#R#=A7K&BDSV<|Yp
z2KyNb3e~~GL%Sq*!N;viXUpNTy!s|8_~PX|BhTT;QqIS}upY4K9p8gOcwcLW;%_)F
zcTfBi_#U$``yBkh=!rolJn!3AIuAdd7kvK^W?Km2A=VR?lhnl|!`_xcFF(U00WCpy
z;hIjr#2$DsS-3VG{yx_KuM0LYE<cn4U%K9R`W0M|bT%&!ZgmabPpogGH6P~9g#*Jx
z?i9j#O_d|HaLIm#?p#=3Pr{@IW*4YYc?e%vf6-0U4;!f(b2^+nmH3vZpGPbY*CXMt
zk3W$1!q=aV*xZ6U*N*yk!$&EjI)Y#qeb*|Yzf6g~RS1OrWJV4X{p;Pb$CGPBx-gXo
z(ZAF)^Y?hdc{v^n<FIP4d8jk2@P6j;23$8eU4H>q+^xm)6TVHBB54Dk8V*mVB+j4U
zNpeg0Li_k$3b?cTuBRbPPxH%=4)zOrK7IxcNYrbmfu~e1=xM_@ogJw6!oJr-D>UI)
zQQ9ryd_55}n<5KOJ!d&eoZmupq@*%%W>&2j3tZsv-{gMSXt>Uq8~!31bczqQh#W2@
ze(%5cjY1#R^FH$V>rR}%^zn~7i1ox>mQCl0@-;G3l)Q!G?|&2A!tt1mO{zD;ol{bG
zf5FyCi+70i&U2RMO}@iLbB)3!u*kqEZKD6%Sa9xo06)*XK~41khRwwX58(sh|H3}Q
z7yVM{i1pVhua0Prz|unJvs2(c(#krbJx<=+%@haAnp~l5fN6M5`|iT&1Dioa|E8z>
zrydQHegATc=#QR)ZTAx3eF>qY4`9`L7wSlud-Z2T49vZ!N|sm;&N20XBpN<CZuK|}
z_F~x^?hCt(CUr%?#wKt7U5Dp}<x~RU=6yRF+~A>;?fpTpp6-1<C%AlSmdpfB+@Wjh
z4(ExRxfsDKt96Dh@MVFd(`s;v#f5k;*tLqJLIozz=cc{}bN|Z_Qh+}_snZI8X}EUX
zk%Qynt~L0<SzUQM#NjMq#_cdT#E15>D4db)vl<Mmx$B<dfEAZ$BqQNt=Sp6(!39S?
zu@L#?QpG$s@IHVyu~tLG@x|n~P;J636l_L5u=~mdpYJgH_HJu)SXMB%lX!nXS>otN
zQ&@Gss`3*2?^xS}ENr|}F=-txqWX409<JD#C9nnC?E3X;ixKhI-Pe!q!v5di`7ZSr
zHcp`_+(!DEgQP|ktk$4qLW^{Xd;8v3!=`Ih(|h5>5c~Wya5#zZ^@H#Sh9Z7__yA|&
z3@_YCmvBiAZsAJJ6@bt5&VG@B6N~q;aKY7k<nlyeB?+oRZaC%mT|N<*vg{T+3(U7i
zDwiEjOSU{g)K9~W?R%{7$ud)ZqP)W-#@6)kIa7rSDtNRtykRH2@FQz_9OXZtzZka7
zfb+S~-**BQz(?}F!>XEx`=ek5va9s7aIxWzOEIvFPQm6R>}xbAbO}zE8w>1)gFo6E
zT!F{$cx`sVr;YmS&%=k!3Iprl?J(W>i|`K;z0Dd}RHoL#7Jf!IU;PsPTjQ~02g`Ha
zk$VAa*?qP)hg0rKZWhAAKkuws!2AEkEIomzI^Daq;lVdjWtp(xbB+rq;cm{aA{lV%
zd}O~W>~ZCoQyxs-JfWfjS90$*egsqAO#8<L4;vaM<iop!mz_A_Si@bk#P*pDtcRFj
z4n7^7r|@IH(i3}Nv-icvi{XdXG5o~$0pIIR`w``L?HajFeBW-4N89}w%(GT;1y!kH
zVeC~>1xuDt3@yU{of*h}1t&0menot5^{f2f38H=$_lofk!y8tXA78`k71X4yaMFes
zQxlv)Zg}M#TzxP+tRC(=|FD|)-mF;s-TD?d_|<2@BG`s(^(B%2!tn-*beNZGWAy`k
zd5FwC4bD74ey$bnqB~PZe6P;$(BBNA{bowz4-wyw)O%bL^&UR1d2-egmT=2?*9)_k
zL>iriL$i$4dSGMPUyTOvV68hv8{9tq%FGDnWH9*t25vd!%q#`#p7MWQ4X6I#FOY`s
zy!`v50{*W5`xYN8t15n(sNb7f#a#Tbko#+UqJE2Kg8wqYM^CRGcns5ti6=0@^pOo2
z*>K*wWD**fF<D0NE__bz^FiYKcgtKfj}qW0@{?&4FfVDaPzY?j|3)M6z2)tG+pHj%
z?ZBKA3H)$1-O(G~DG=1W12)KE)N+B{6?z;x@IIW@;&ap&V9HqAjZRp{>bRdhoL3yG
zLA<}`$b);wE#PMfRKvvkd;aZCsx*U>m7R1-VbjVre|`9v<iglfxFT+C<1}p3rE{A2
zzIH&iakU2g=tJ{lK74iDLhb}iWp}`Uc)w7gWzFVMc*g1ebQUc7=bfh_oWAtS_#Qkw
zDW)I|vr}B2ONXbXk3E-!nf%|G--T)9a=nCM#SGbRiSV6=)hmK<@UD2P82E^};7e{;
zPhs<WEL`GhUC05eW)^l5??>wK>2P6!Pjb_rC*F_rT=@GOBm9T+V(&HB`u@3MD)?ny
z(?xIiQE8O$F8FmS=YR`55JR%KO^@?k(#zQm_8}L$_z%9#)ILmn&tB=&<3m5;%2&Lu
zPO!Alz~gn;GxplJ9UMXZUi1s>R>iRMJX|A1`D6;_d3(;w5;pA!aUO<$=oV00!w2it
zzK_7gJIvD^VTqMY#W%41y}jm_V9gf`FB@R*g7fc)_e1sUJ$N$}b{5boBK9vZc#AXz
z_7%U&L8M!}9M%nl!>qmz5ZjwA&}#9A{~M9eBKB7#R~hXITU}8bv4I`qMRs0=o5rI~
zn!>aZ8Eu!~xPa7gGk8XwRnrL$p8RxLANI<QrLu?lVrM7Mz*m~6!)@XFpT!M`_h-)D
z4%0S+_uiMD)`3^|Qoc2T`KP^&RpBnO@=r`~j@GX=;(eZe8hg((6aHRtgV?`z!rVML
zyzc2%WC2%%sJc?Zny3E9(S65b`Mq%fM_CyqD<OqQR45HaBrD&FvPq)s$_^<rBTBL=
zTXq@QrDT_k$Vzq@AwroMzt8#o`F@@A+|Pa1b<X{y`;wF)@572@pr4;(#=p0?e7j28
zSCpymwgA(*$Ie}c)wpj~_rW&TS90y)UaumR0r<XQh5T)J&%?`~Kf@w+r!2|*IQBf@
zVhim5fNt3jt~%XfoC~iU>{cQ3>v2PTPd4$6ttGzj#M)ugICy)Balb#j+QQr)1DAG2
zob!O+^`~76hKqN8aq@<@KDE9S2&=dq)wF}p=fB(O1#`AGjgtHOvoB=ZUHG7*WGxxL
ziKnC8PH-1@m7XcA(vhHi1HQf`|K3s9apaJ%Gc3s`G<z7fljL@HfaR~>Yu*jNTSzIn
z4WF!<J3;bCKCz2B<OaWewfiMEJkF3T6b<i~d4Gw#k4)6eKj|sl7ckqv2vbi{^(VrK
z7tSAJfPeS?&`*F(^t{ulV4sYpR?<IypTxb$`+WISGS26~=4)4{=iz}1ejncxZ`)Y+
z2R@ykf4U5|a6NW(0*=~H<yi}>I{74z!PO(-E7h=?;%ip&{y6IqBx-@ZKdpQ8!vb1Q
z#6Q92OV&nB@X1ZHHecYawK<>2`{DTG9$h8l`T7t~Mk!oFH<-`~52{>Ze*=$R-}#7)
zFN3Aj7xKQz`{kD#y5M;^Ct32o%K)j?lkKpbCP%P4EEyHQfqcKvsW!g5un@n-zdHDK
z%!xG{IHpbDeFZGr^*5BfkFlwg>UcRE)*?(v-q(1_<wYgwk81Jzd;b6azl<<hGJk3>
zl|~t(JS5+eDiuEBc}<kOFHlQQX*mgwx2>VqfDaY$mpy}JzFWqU_YJ1);glxhla}&?
z@eKTOa&Gkz>?3$IK@GlC^V>B9e)H|xW(7FtZ?lX)+-^qk{4_i;(k$f*f3Vc^ItY)O
zl`N6@!K*mMCIx$Xl{u05(G|+&D+a%@PCsT3ySZg>?uX^|KWANsYt@9WvB9gitL(19
z1vR;g>~NM==cFmzr`Ki91SbqOzA}LM1~2_%hW|0{5Yi!^4`@}H!~4XqH18Nc2j584
z=$VJVF$Wl(fyb39MS9_6`Y`@eFx||tcYScd>f1Ou_{=UNu@3lW@xZt+Op%!}@(o_>
z<}??A&uP?aeSt0RU#R-Ug#Fs<=p}MJ!EF@EQ}8ka&(tui^y*(zFYF<b!8Qi>PbOXH
zhs6dSq|CsqcB<Jaq`v#g3-Ug6b)R>8lVOvHt=xZM%2(M_(Xhr<sch07dd}ygPhfem
z%fUnNj>u;(9>G0l-1$b}OU-$a{_w`y$=Brl@j7GAzl6Xd+uMamzEBCnqbfnL(=dZ$
z6l|-=;~NH_k)0WcfJ=pwC?3OUi5t`(z^>VzC!WEnKErQ=;0~@psVGwZbyKt(9HwJr
z7Z1l%j?=or*#iTUv9Ro)6=z#`p)^+{6~318^#{rK85$%Np9rshWs%T={f;bt%Ydgs
zCSorV|8UVshjYu<7}a3zeTTzx;a-Y%S5-LWM#1JB_)NmjpK|cd3V#3haP(SWr3~Ej
z>e+@e*z;4IgcO{ln^DvOJNy5+B@Un4%6YIIelD|Vl;kTIDSv;1j1Q-K-9?hmKw*pM
zL^r&UFi^=0e-N`ZA>+%qaxrE*94^}4Hx65!wPDx_`#iPV{s-P{wbNw_%(=fUat7YD
z_t+>c{N|YTmnC?2^VmfinCoi&xkY$zjjC!D`5By<F5Raf^KF0bffYEd@eR#7%8Tmj
z;{L!DY|5u-QGU<YfngSIvPvqWhNB-na2ta&&x<TG!R=oTj*h~S$Gx2y;n=h1wEN*>
zWgGI?U`4K(%3k=dOkO4nycQ#r*Z|A9>>c5P7jkNu>R}E>Pm^u%NXejkC9EiSwQCP-
z`i?{UJ-qIduSM2F&#Yuk5&Yv0U+4kYa_ECZA)KUR!?Yg`2^dOv37h=>qH-9H+u+Rf
z0^WC-x8@LR&k^RH1Z$q_JFW<yn8?(MhsAI3mngsqd+Vwr;ion3f7D<L-}4d?aK!Dh
zn`HgEN!~~ZhS|r>M)cvH>YJ{Cu%ddBi5`46KIEq-e1S@)%M!lP<5fZOf7ETW*Rp`q
ze<X=J!I>JbAKAiDb{w$|u*up4<4xFm^a!Ih+<oANj|Xh}opsn8UI~7-eg_`$J*;^d
zKInJn7ulah*2}0#{t?lS(H61rp)*5{>af!5z1xdm@zR0UYVfvN*~kL;+cd3+0-W~s
zA!7}^nioSU2Oo=!38;c~*=uZ%z}g;VRrT=J5&B*!*s-<lB-x+%izWZt2S3ywaU=Uv
zCW~W<C@iP=d%hXA)`%4rfDNr^B+33$Bh?+Y3r?S4%qIJl^w7o)T=0%^nak6#<l{7D
zHuycGboUf&B-&cU04qBwaFFxP=2A+5O|W9gQRcsJ@NGTHCFE<7>pH5s0`pzGcYOgi
zJ|!l<1Yf(*t2P1;a0|Fo;ym@;j;3S?zPy`zaUJEMC6dBD@LCMxK{}K#T+t2t2A`3k
z$|2`3L(Y3tUtq?IQ)A3<)|s>$&2YR-#~=gjqd<A~JuGbWOos<%pgFOd<d31M3TWL9
z`_Wp3=fg*ZPpXQ--<=|CNdCTH8Q~fcm@~P$o8<4a8U8FS4PPo7$WMkNX2K<pz|(^A
zkHcV5xy#p2!n=*ntcAk+lxYS@eX7B4YA&#jWfivq`8@ykVv;|xjL#-S7G`6$rzZJ!
zT(jP29)=%BSv)m@f7>TFAA$>|qUf~YXv?_>F<9bbK#UHY`DloR-0!Gv5d+ERqc(k{
zlOHx&N{Uy9f4PWV+y$4oe`Y56BmLyPw{gMJqQyz7u)yP6TR7nA4@_Ppf6#JzYdaJC
zU+r%;Y1qZ-n<_m#AaLD;<U6W*FSnVD&z%C5`CV|`Q)3@8o^4DO3M4=0EzTAdGTxEm
zk)8B#@%=fu8Tg9nkHSUdV+zx@p&5hEcjT!q!{Ir;-lK4l^w$!SuSq7>iHXd&IXcS$
zk{>klL{uO-|8OS-pZ^7)V4Ar45>7T1ktF5eNxKF!;U5bsi6q}$)9yd><UCs?-1nPY
zZ@gaGApjO}S~ePkDGhUudcsa#;j<(^se<WB0Xg5ktjM|Y9Zu*rq&9=iolJN}VGHJB
zud8sC*zF*a|Fr#!e-w!~*^8cCL$DslA69Z6xMLZq(gSZX{1ztxAC9?uljKKbIcLs)
z5S~x9qWB35e3Q%Khpp}@2$TCYz4Jj_5WewNyyOq;F1UZ58+MD1Qk#Ph8|At3!ZULB
zdRF27ko_Smi1#`#mqa$Af2}57GyH@5Hq$@-hw`j_tp?xWQ`EB;C{R9CVEuIf)*4u=
zSU|bD?hlzXc%zWtN0JZgdeDIivVWGk-PL1&qyBjKCBQjnQ-6{Cs$bvM(I>&JTjKAK
z{8$<1jlx6W$%r4%x4~g`iJas-Ab79$5Sb5${|@)uhh>f|f8d8DHVPXD!(HKjbw%Np
z#%sHMVZUakUnJjZn?rK?Jvb<a?heV9)$*di+YoNNu4YK`UES~sT-S&3fBEZ4{zyTy
z_th6*{NFtzl0WiY%u{&{c+~W4Bgr2bGSNb#3SV+kF(&yVd3|2_D8q@}%AbYc%_n}T
zoP;g^$(ZbcgAcXT$dJ!#o@gQYy-c_Mjc0=$B|qi}!@J}D@pHg$gB#_<Ve5uVS=8`=
zkdN6xScC4eI4w+{6}Uk1y*g|a-qgp4-w#^?+ZAA!vm6ilVg9#aW+Y#$VNct13Vd&m
zw<TG>d&VekB*U*aJA6F{i*j#27z6M7#%@j4Z&QF;?lZWyfcl#<Jf`F&eIJ&SlvyYF
zyx9Jg76-rsr$ld%d|ygW{>Zz)9~{-g6ye{GkGyw=?MhEjk^W?f2x2yZU(|kiEf4=H
z?Fll3nf>1GIR@*#TvFGBO<qfvlJ!4!P`&8_e9A^(FUfDl7IHJ}3{0CH^Om$fv&5f4
z2_DYBK))R}dugb24wlU9b|&+qf$w$Ie{kf^s^QHrXTA2ZOYpUcx^gnV1g2gV8Nfyl
z@(z&stnvMXm<@c9DsvMhsb3hJVFeF<4s#{(L*#3to)7GhJ61u~i>MQ8rx(1zyj`5E
zr`Y8N7ScaCuTI91_0F+xO9<&7*A7u8lFxEMqq^=9?3nr3jjYc}E^6fv*j>hBtOGvP
zm+ut?S3Uc#P4dgVJwCe@0n^8Pt|9p=&ju(srowxrf)eWBu87++Wc*l7TsK$1%A)Vh
z3gJ&FyT{+b!R@+zx$tDg>|v5WJk_P@c{<$Y6;qc2j|H#pOoOi<xPLSjHhpF_5(f{h
z?yrx7X9pE8hQss239TmZ>ce*r$o!B|q?Eq`AHBVSAsSY8{gtB&Q+{+(d=4*NQRUTv
zCsbcoCc+0dN(G;TZygp|&4B-Nez-*PRkEKmcO&;x>gQ&08n*b>R6y=m!MnNr6kO%c
zB$)#bQoK7Y4S&zSX;Taj+}oUY6sBBwF-F>(ZojgV<V&2Yq!TQI`MuO0lKkdhqfaHi
zg}Hl<u9AF?&uE`@SHnz>zE*;;wsVVa6)Y)Z-$n923V%0r{{;v2=Kf=aPhRj|8i&I+
zC0Q|$^6TN>8L-}@<aPO|Vaw3F*O*|#9anQn{>QsrZb#0;9U~N6l<-urUBOxS`P{Pq
zVn3cI{8Fd1;6ElSf9GMD=4aNL@LK=8=@gu4`6-3OpN*Y=n}5NT$vN?Qu$s|$b~ntp
z)ZTRkj*J=R{s!+)N@_HKOU6ET7Q?Bd#k5ypo$<QUMKI@JrmqP+>R6qh1>f;}dWOWa
z%Az`@9N2%&uY%kU?Ww}B2>5i1hd;UBXPgB>QSi|VerqalV!|_rJFtvyV6_~)MjuAw
z0V^3jmM8ISNIcNV8D46PqCEmLWw_J1z(Z_Bl!xFA56wo*;LWWSA4Fka9ZgpYc$l^G
z^j<iWUFGLx_}R~yW-d77F*~y<OnGC=xoxnuAMG7|c+bv#-$=YGdR>`x3FaEt)S-dR
ze&n%e!Op+0@~&aLSnUIowc#?kV+reUBlR;Wa{a<`&DjySKA&caT>oL;4yT{6t2md3
z4eYgl*YN?E!+L<_2JHO(=et3;U+Yg2Y2T3YplS=8o$37172cAS)bIsfD!;Gi4F{;1
zWRm&KB+GQ<KFpQRvhM{vRV?`NF<iNvf11RHlGe<vPvJQswn`Eo?p%H3^$7Oc9~yrd
zX8WLJ^aR#DN5f0vC8ze0#t^vgi{0`ecw{~#gN%>y$iG_$;mf|)w~=z5j9wX0xL)mR
zCb=HXrnRGc;Pkae0c5;{ct+Ov;0Dh5?Ow3G1luwXe2Mkt;!XI^W2$mCSm`c9kR9w|
zC|k+`M^%<t7{mHZ2fgUw(;nOYU4aLgJJ)Do%gJd=Jy?8iQ}sFnevf~xxI)HjU(l^n
zYjDqYUh50+<Q6-+c{p^=X7wU$(8A~U7oItzV50^{NpAky4L8|v3aG;xJoQ@NV9(<d
zp~~=1?^^CJaDKxcK~>l;pC+yq7B1B))PV2l4E=rsTijf*CgXorbG!Xpm_tcu)d;>%
zLwB?QR`=EnA?<nf<oKIH_;;<(PD?moLclW%b_veTvx4bZwWxAn`jdSM4zRZe*TXot
zA$^YpnGbS0r?(`))_!_Rci}<XogGnd{9e}}Pxwc#itbbRkaH$aAUxLj_eTIM9@{4u
z4Briw{uu<z9ak`og;VHS9B#wR{+9j;@Hh*T%UyV==X1s@c=x#`8E2U5K;Q9vm?dTW
z{Vmumfu*q&uJ%g3cN4C@&2#x3Tz|cs)()mJP@k@WKTV2;8N+PT`fPP@V&F-36IgdS
zB&7u&7yJE952h;!InoM$xI}Tu06s2O^O3|Kwl~XJr{EObth)oSdLgCwX?V0`X!96+
zZ2RfbgK*w|6$eTDqOCbCBL)BNT&n&HD>=J<6ofypfB3lohc!E#5rUWNDcmR!FU6Xk
zwX?%t^2=g3z~4I`>Ttpf;Y<5Te&27q(!bNdB|_;JHp9c;BCgWGpCpHVaKdtSiN6;%
z;qOsy_|TGg9@G_Jw*>2^ls_T)eyM{6@*`o2W`XO6VTzZ%hn~QiVU}wo|1sN$Lc19(
z{N$~<3j9ep@!~bu$K1Z-B%CNu!*vN(`7~`V5C8aX5oG|^JxJ*w`_V0nX2Xkc*!m6&
zvR}zq9_`kE4;FvvkbocSCnc!DYe$qV4#J&pHuI^F&;MBJ*bC2ax(}U%;~Xq4#NcBr
zrh_No`&SzjNqb(uZ%;i0M=2fd<bhx5p5J{CE)5z{B>9O~?W@Q4!rks_o$Rn{Z`G(U
z?3<8Lun`tjJ(<M^PyV1&qJa~)*NE<bT`G$TRxuvJv!`a*;UzW}rFD3czv(6${C@OZ
z!93iYC#N<+kMXOO4O)Z6y9VmU;EHFXOLK7FhEpl!FiZZw&*XX|d<z2a;ky9|vZS2z
zhV57p>}dY!Gr8WDzLAl9nC2x*)-XJI$L!?`_;#<9>?nLBemo-`ZnSaZ?tsM(nGWT`
zc?CN6+u*|LbmNz>wViCo8`$drTXX>|Q_7|I8cuVKdh!bP5H{jZhiBrKzPyIRiw=jT
z!sC-N=L_LjS>9f<9xseP4txivfBvHu1RFGdr6%=jYrCRIJUr+XQcu4B{W^sRi3e0q
z`0KLZfH`>@6L^1Y|HBkm!pk&@>@R`>FKMD-&z0g>VOajJcf(`&t!VRp5twIrr|Ls^
z@3myN&G1slVA~y7;B8gRR`_~y{Y7_pYsn>sO>i>b!+vX+qt<F46Fhv&%g72ISfYyA
z2wQ4ybXJ8W3r71%{gpR#bINc{s{1)AIEgb&=>UAO`xqrHd@`-1W*@Ar+HiBN5Ak#5
zmIg1}dpa<b66IZ=A2)NuKgPKzmQc>S*D;b6mNJ@ov<$ZygtKpjYZpD&XW+t{`iYcq
z@TXn7=3usApPdx2cx+C{FSs<$Vq}31zt8@2**OK@u#dVn4-ZsQhYZ8AidScb;dQI~
zxj*4R!x-Bk*uaXNZvbB0$#Jd}W^N6e9ff&9J~h3CKYKCyPQz~1-uf?L`3u@9f8dS*
z@$M|RZ*TMA75M!8gn}bHaJqFbX@3!)UX?wZsi^ssw10Q;o<J+O$)R0@0_7SdzO-iW
zD|1b!5tJYBH)^~DH;a9yCimA|a-m)aR=QXFz6KtRu20_&=f?DfHo}qpM@7WpE8|xM
zI$)9FB)QG-z}C8}J#a@aWyKcwE!BnjA-IRfdFvuA;?2Q>X=89TL;d3=_#l1R(OEe8
zjnR%Vcsf>2kM!@WNS3%!xc+>>2hzV+_NR$-!X43qKYzoMXH7HO;p={p+N8he=q~!b
zgstgJg#TY|<3p1Tzx(v3WC7(y4?K7u!2b=LU0Q`5+Y)0R!p5h+-={%;tg7mn`oXCi
zes8CP`vqKo_``JVJ}<YxozFw=X~XsQ?u^^vVo`r;E%@!xA8su05A8$s|G|7gUpBGA
z`6ndQ)L?O?qpoDW`p-S=kcKaH&^;yd+oL?D;|TomX0sC+zuEm8O@!h7Cm%$t!}M(I
z-*>~2yuUY)`(L!Vdz~HDN`5Lp=BIDOlSx*1pmZse%+Hrf#j^is@cY^)9r<}!?MYwR
z5*&TGFlQ2W>`*x~29N%d{7mMPtF`N=QMl*LLm4vOoF~K|^~2|HDK(PuY29zOr4RO!
zPCPycA34|=-3V`rr!pYpsba~&(*OrV8`O2fUT-rOlVJaEUQs__)=j!D$?)qyF%dF;
zFYXp>2#4v|E~=36sd6#!iGbCAt#y(1**)E$`T*V$A8bk1W6AFHj}PI%p`-uEdTl%S
z>*8J5Xt(NiYSMo;_gg*SuVM2qNPli?)Dtv^k0;vcllW4v_#yck%(GtcksdaAWny&+
zjyiNimjNDYSGCrMZG+nnk^VdxF(G~d{>QFZ{SS`5Iv{Z#K3F=CFb-$k3RqBr`=6W<
zC+%6x<Z?R+ucX)NRKSy!ttXGb=hOC#R>J<Cm&>JKe<}y9H}If$;<5}(QO;6Z0#}55
zULp0X=#G0t!nHmWN915_udlzu;gp7;Vp-Vr6TeX~tZ!O8L%#q0r?*Y_VJ%rXdqsH8
zlUBwXes|04<yrU_U0jwYoLA?Vbp|e`ICTFetW+L4O4=vg@L~Bny!1ueS_PKh)x0JF
zf92PbAm6|J;E{(1VJ};@{Npf($>uIDc;ga}>p}P-qpbxu{AjdfNdg|NEb7<_5A;^O
z7lFg?Y&BzpZA7lg?SZd}=(aJy4<6Xl?1az$%{FC%w;ty5-vLKN{At+;)6<EZ<$z0V
z6|d01cbVE7*<c^qz|X6_`2B%>QEwxxnz>_&0_Db+vc6Hl9d5>kizp8bD^FOa#`DIh
z<cTHt@X_15mf**9!+JCD`JP9k)9~E^fw5V*saM_NH_RPlsxuC2=%sr$!3!HD!>8fT
z=B|{DFq_W}s-N(*K=OmPFehE<&I#B=R-5xBoJ}p>8w?v&aA*|3GLx+5g5dH`O|3bw
zwp8g8JGfTJo2dl;${kB@3(pm4Y%YYe9x{#?!Oo7!-ZijCcI^iPcvp(whH9AFa$V{o
ztj=na+XMS6xdxnrhZs&vbi)$E`SXf!2yMUB4|vww!~8Vt93Esd086RODIA0|&he)H
zge}F&3MAm1sSjzxaHII4(4FvYbM?VV*i&nnk`I;_^13zxze(d0`P+lv53~QqO~Ku#
zhM&&DXWrKHk@|dZ`RK;s#Gl9X=3xH*L6@I!Wc-l+EbM2fqtyvluDxs|<JCXca<~mP
zuW~;}2`3dYrPRZFyTAF<!v?lB?4MwH$#gn8cp-+;w*u~+q&T$&j_)u0`yRIGtgmE-
znOtX0is4Osc2a!s!*AzL7r_4&Nfq(J?lBMYUcl<7ynpY8^-2#5WWqabPTLB?eB+Lx
zi7;JEP=*-1^k_R(0&K0TwpSF66w|Yff~CbCn3DN#Z}4v*0zP*8%n+IXKTM_1KY;(t
z`teG`RolDX2f^WO@^MFD=11H1`@q5B*;`a$>2GH?d%}AJO+%GoMwg&Fw_ppKuuml3
zTxQ^#a)Mt!R8%_$Q*#&_UWaGgY<;!i>k`uq)-Z+mPHHW9G+pAjDJ)s8C`;m-`F~|E
zuD~>Of65HtH{ulA_245XSQkxUEyKY3I<UOtHn+<#uj%=A8CY9hG@r!J{~mTIo`5}j
zzDn!BlPfV)eckx?p15gBa(|2!Opp6vzdZ+iNqpJdQQK1k*Jg%yk^XSeT)O`WrsKP+
zFAf_@9a^e@3nT9BBJrT_L})-2%p#MQK;lIrr_S~U_~Ra`c{0A+#B@G3!#vLfowmaL
z<2&@b;7V5O&>769T9*@1<oj=0d2IOuvv<;n{DhsQo?iO~i*e?6{DP~so)3}rVWQ_@
zF$b$#r`XrS`;z<o7U7g*88Z!VD)Y;2lxXkQj93q{zE4xF9Nq};5Q<)V2h&A-`p5`x
zRSu~k>vhBGFCAw1v)297#qjNw(lHL$!qV(ZDqNL5N4p)K-)*3g4!bqiJmrTwySkn$
z!b$lb&Pu_??X0^`!}AqWrDE_TkE5IbEKOmyAPFDke_yc+UTX=wwikY(bmKe=EML9X
zXCHhlxUzXOY}WkWj3CU^5*<Yg$I5Yd3c&+`>d!X9ALn!o*<ssV;#XESV!tlso*?&|
z7XIk_G8}sKxE^WG<!xEq8&F?T-{li&uld}*U8^Wx>74f-M}HOFJf=^La!-HBzofre
zdzTHVV9Tp^&7H74=W4_zc#BS^d<PuFZOBOvmu&i!(+DRl>#CFc-*az$CmHXyM};lq
z{!LQ&Ldblm*!5gtC#>x3VOI_ZTwAK%0pBi5=r4v%ILB9o;6H5j>P4{bq>RUIxU}w9
zSr$B}AX2gq-ki=V{u1VU>2^#Ewyu+kdk%Z28QUL%qYmh8PJ-__Q{LGF|60H5c?ph-
zlRizp|5@4b&6nYz_xc~X;kMx?dWtZ|j<^t3cudyvrxI)tY|BFfGv2ZMu=EXo&mg=>
ziy7v76Mu9OKJKR4L&_h_3teu6b3~fhNPCCV4V&v>&bTlE3Rp|mfY%u|?Ub5WK!1PN
z-0|`jY;#Lt>MvZv{a=6?e1_^*;V<~=4SG%scx=?=$OL?JC*Qrxu+f0P`giz(Zzt;&
zSbt{``JWEu)MCH9bYUw$Q<W|_A~Al8K3ux<UtK4>>tz024cPi`X6R>lPwf?^i}2dT
zk?;msD9&$89#(RVF|39yZy#_`fR|l|FIT{hi5i-caMyIA@N0Oz?eF)4@V&>2dy8N$
zRkrv1@REM%Y!*EK<<(h1xUD2`DGeUy9;c>)JB^Daa^Zoy=WkKKh7b6pNPT}f>x;j;
z@b7mE3fBwaoRP-rNm$lkekvcn%-AD23?HLDc$wUvmsBMCcQ}r-f1naB^G@;Uf_Zl_
zYqY{qTIyyU@X_!2Us_=OPsVMHFwaenFfzX8GnPgba7ld#3p*T_baA>4P7cVLk%H^*
zOczwaS7HSn$b2e)O)pRivrX~;AnW;*wH$Q`y!0yUsscRLr0<XeGuH&isKMHiwnJHP
z9rr)pGq90a(1jGZwQWl40!&>LTlE~aF4ON+hp*3;NJPW7ysDe^V4Y7NlAglS^MPTS
z@aImhNe@{3kafKwoSH3UbQeDHT&{`K7e04M`Z}y6W*(^lr&FA-y8#E+XZ-*Be|R?i
zR)C$)e;<}dd52EPT}8M_c3|o#tWkT4bu0YT?2!;D=el^wcMGhZ6ec1IXF1<DUjK^U
z10G0UQG!{OlUi0`QP(%$Nq@ZLeSLBcHr-^n{VZ(l+?e|Z{(4vU|KEQ&>tFD9SgLhe
zle9lhm1%7Nera&MgS5XTL(t|cd|R7>nY1UeNwT*C-o@zfn6#f(*;V)*ym54~j<o-y
z)x9UB@P_c;4Wz!3MuB4{tR!i((FCq2c{iL6n+F+eBK6;uZIAPVe+zw(zY2Q~@Nd2c
z8*?iE|MNbhWh|;N-K+U<(tn+)uM*C{P0tvfoP%{%yWEe#`+O^mN&By|eqcBb=P(YL
zlJS=>{xvEBS1Trn9f#Qj+nhyV>9`}=$6)E|;URvw-XZ^_2)s8Wl}ZR!qSLGphQC=B
z+48~-$*lMJ;I$7S>pNiMeK+aI{@|1D87d6BMLad3ga1~|$%w&n6XOFU{%-RB`S}q1
z)b6bP66X5>bC<~@@Qqtfrb+yd)v)o9gFR9eUeCfgx%-(<!Iw@3A0hGQ46VTb+k48X
z<Kqwb(({;iXHmYnY@6~hthVd%d2KjbOY3VJY-O=xqX%oB3)Sv`vzh*^U4h#^-j*lp
z`QhZ@kCt%l$%|Dl;M9Z@he>%6<IkYyaE)t6wFz9>Q_YkFf8g(y)Q1N-3_G5}f0=A6
z4B*N?G=>rI#HuR;xnIL8>4Fd71z);n3h;r?k5hx->D!y=$av6X9=_=VbFqg<o`CCZ
zg=W0qO;iyZN&iHTvZ-0ZTGkx7N8#IzERE*y?yqb+#NkDWgx^Xq3r&~KVVG%qww)r}
zaipzgAIzivmr4qLofiF_)UQtL^E?dyn@Dsd^MgC%w(5R3bt}aNazE!En0`0_&sNez
zko)~~{9lMLTw!-bKoP!|H^3wUZ+mD_NcwvhokPb?n7Zb@!g*Nkk@Ob<_?KUkxiMUk
zQT2=){z)M)Px@2rRAA%|m}^yHy90cOkNz?Ty!VYyx+A>%V}m{yoHG5mfz0=VmI?wa
zaK-eXzCTRMPtC^$hg_Mt`vflcvma%E^O9wlp20@B8rPWM(nQ7hB$(;#>wVPlfX%~w
z$uOl$<O>>jr9JZfOE_WglEc~t>?a~UXS3n&F0C``u+G|0e-V7+i};%b_)eG5jS_ev
zkM8IaT)kbKq5^*PHQuclj)>2)YlIK8>MxeS9+q!6ka!S8bwDEl7B!*E{ssrzd$z{G
z0p<(bUtp>`QGf5iBP%;JNj&Mhd)VFs-t<Fqgv1-E5=ZG<aP)?Qj^E)$HI@<=_>-10
z%>;Z}?2M-^yn9U{{1-f~F|=w2>%7$!BJpi^7iX;{?EXumU>=Ttr&3`9@0z{+l@{@m
zpUxrhD%^L~-i#g=|Ci`%4o@e?+}{rWq^tVxGJIP9(Ka4<evn_`8qCBtWGo9COh__Z
zg44Y^rcS~qA3UQph1ZVlIbs4cJbqfI4|iYYsxgJTW~@$;>uJSn-M#}SwHt2IfuB{L
zrYHNw`;~crU6^rBH`*T-^8ayO9iE9lEfNS1oxI(s0Xxg;m4?EZKF#hs;dPrJX0jjY
z>0emh1%Kd8P9Xc0i&wzlA{EI85^(JWoTj&Ev<xfPCNJc}AL1gW#$cP<oUFyLqTssq
z1bjC0P|AC_GVjB|AMh*tpOR$%E!2wIKLR)E3Fv%*3sSY`dts}qZ9}avU-esuemI3^
z*0~3MQR;lWlYBlqeq$f3{qW@BZ?J!Q_a1V7P*Is)ZGo%Z{fegH^$$GG9q>)90h>)Y
zZ)`O#muZ6IgaVft;G`n~M@jw5i`6@L;qg#@iaNM}!TRM6__p)U<$73RTUzr0c=WMr
zWfh!w{fv<WZ0;-bt`_bs@bf+ee>bV|ErYH86W($fR=DEtQ32aDnI6)DODSoTU&GAl
zl$F|W@_*N=-@r}#c50IIooQHKP##?R@XeqxeD>yX`U3cYXP1K|tZtao`~t4Au%)zy
z57*J3%Yw6NL&6+j7eg2J6j=DMz%D0JU%&ZrDl9;ukbehm3_GSD2M^AFk@J8b^M`ce
zr@rzzu|Hq@VMVGxaZ&J8riXDLJiSYa=PAs7HeogtHY=fg5di-c$YzRw?S0Sfxex#P
z^*KHkPIO->a)r6Ao8BbA|NfpjbQ>PhpZPBXE@{1^p%2@3mU-vEq6dna4B#84Lu@5*
zGrPhiH8|}`{((|hhZn7Y&Dg$GRKcgeNr)eUzsUZv{0NI==w(U46s_DV&G6KARi_`6
zcs`LX^&Eg(rBxOO;b4QHsZO{$HqoyIHmmHV>xTENWY9OmygOeye}U^wzBYe=UDcX4
zw85g|)cRGh{UxchZ{X|g^^fb}hAZsl<bKcOj6L}XZ_v+)PJ?9(Q(MUO`r?C`Q{fHa
z`I?{M7Xy0kq<^$WtsZp3cd`!tj)w2#IBn^G74<1Eg~4O{zIu(or<*cPJ%R@ldo~Wk
zv579ZWPDhCB%J49hqo+|zVK|)fu%pNVbS0QcUW0(+jB<rM=HZ!L-KqPC&wtn0N0NE
ztGfXUubztHh8=%i&mr@N>nUICHuy{|YY=%}s9(!%-wAK6{jf@&C&W^Nx_RN)!s}hi
z@K_@&n-DCtlkYzzxQ)I$W*7WmEGj|_KEGMJT?BSgSEdt%^A2qu6o3U%Lf_NDwFh0f
z#NaJeCnag&*!g|wg77H|Jsq;Xhip1;^1!MoX+yp64!aMFoG?cS=l*JVGvDp<&G2uF
z%cV8&-2jhT(%uw<mB<3PH}KfQjqqHstY8tm|BF1!2Dq%9;W0UnH=bJix{Utf<x=G%
z=k@!`+xr*bDAmE`SU94rH}yAsduUrgJp6axtjH8B(ePs~5>~!aJVVA~uPcYo6F5_(
z#c>FJsWUJg0&iY6+SmrWB^_Z1gCp0y{J+4;@77)J!|ok?hZEuI>oFfl`N*x|yd-$^
z)mOb3IEk5k(|!1d&oo6M%<a<b7X&w^?+?p>>y$@(?P14me(7vj)b)wJBg{5v(m>jq
z_h)j<6n^5YJn|YIx_|n*3Cy!Xt@#T6<f~Y%3Tuj%E*HXCazEtMV8-^f;4=8IV||n)
zeB<h)gH>?mf)U#x_{~&%O+8#cm$Ge~0?#YwvP;PG7XJum!~}eSbNLK;9@{V@o&O2W
zdiLzjPk6K{?mz=9zxH$U49slI!TuapE9+=lgx_tbeUeB%U+jB=#OtF9<-(z`c6q4Q
zANcWxT*Z5EVb^#iX)muE+ua9nznslsGM<9@`t*UYYMqq_>CfYIdGh4*@uK6iWIs#K
zlu~^NpR<>3@`OKC`gldcG3=%CWPfzHP8}Eq2S;w^CC^KRDrYL9;ZC=}M>cTAzq*f4
z;B~1!YXg|~88zkq@7F-9Uk^@ySLGXz@-wUJ|7pN+8<yXu!Dbl_<>%qyKKtrqc)N35
zG}+%pf5xx8gcVGsH_O1k<MlmXz^f02-4DT69;8o~!ttlxno7V_Glq_DVA(K>mOU`9
zV(bv<-@d5>CA;BVO*M-;`0BOZ-MlabyZkOKjMt%GgAG)0ze9HNMcB+CT6!7hm1|Cc
ze|_O66l1@pVV0SJTRyOBRI2_@xL;<xuNThSQgEgd?hSrt&<_tfPxbV}7ZQaW=&+u8
z!rQi!^Oa)%$$1)Byfrr9GrW7>$5=jC=XUkLCph9z=guAQ!)GDqDq&%-blv~Q5BHN5
z<!}~PVK-U-60{5l$aye_$%}O#ywA2ck(?JV9tnyRg{jSbHk0$@$1fU92Vol>F>i9-
zeDpw1LlS0xv-tZte7AXfpfo%t5obcqtM)uQ8IQqNDXg2H!aX!S3i5E~I-|l9c*9U%
z?MZm<*tgsec*-eaO&QKEcM*69pC5|wQi2=IltRh*xr|r&^*MOOad3k#Y|N{8;w(Jo
zmt%Ju)?J%+(1Ig*l!shlhKMoO3-H;xAMY(-D(T=?WdGZe=ptzjZ|(Ii)`7qJvomYM
z+)6yZFT*8?X`Y(!9T$dwdho^cfg_Tzd8}8J1}vGZR&x-3G~=tJ4(pk1J4l{4cidZL
zR)NzU@0OG2!^#U=*cIXXQS33?u;tN^-V<=;s*?zL-sBOUup#?rVWZi(*-rdE(5#y*
z0}C*2s+fiqvaN+leb3m|{Xb#a9_dK3AK#y6W*de_&6T;xe!V}t%c}>z_$yugBHaAZ
z?(a9aMj@e56Hd}j_4@&LUJ!oa1gCU$srSN?H+JrKgf|~fFKdHk?OS7fVd3MM&s*Tp
z<F$M~@bEiVmO7X@)%sx=9B5-RUjuXP&}DfHC$r03eFyJKJ64<tzitdFErIRFxurAU
zIvpdCT(~uBsGpq22Al#tU%;Vn-<sf$i^>-UE=?uD+;42?x?q)S*A(O6>*3Nt<h*(F
z)$#lY_@v#9%6?d)H)wY_Y}<QGu@B~pFbNBS51ClFkH7^gIn?)Iqt<_3KVW6~OM@;j
z1MjZa6Y!NIX%}z7c^^2Hhv4tmzPkJeU*EUq?l1U8)2@j#@cP-8;REnmL4zI*?6Lml
z(pT8z)}2vWSj))Xv>hH!6{wo;z~4_A`-?TgMiou!i|~Ga%ba>xB0Zt(H+<)@r%M%l
zrCsU2894KW`9IPhMR}ZWe!>x=Yi{Ix_gHn$(?76d-@k=GSkli>bOnw~r>*dUD|rV?
zR$<jiDp@i<TWi_X$o)zEV>K~>_p?%ZF~Y-pDEm#}H`+&8+2MD?t7+uCmw7ECfdgKD
z#wJSE!&7rRW@b3eo#mY>Eajpo!U8+nNXU`-e6ffjiVju}m7te{DNAk$Zh}+7?`$UX
zwd~8{I%#jiCf~2*d{`!?{a_h>%-?xqFC6zS^FbMWLwDf_KU`S9w!Iv_b6292oOd?X
zz7Hsd^Z7M>$$4mLgqh<t%$5*FOU@q~zc%^g!Wnrb&CGBQ0~bpke0|Gnb8_AY8$ZM1
z3~PRJi6iHcsL#~Cj<D23)h-6OTeWJ&8m4EXo1lX2Gig1p!}8e|7FQ5oFGeg#slon}
z$rXR$>aIgo|G^Zx9G}Vg!(o!gZ7&>}<@|)44_nzU(u%=PAAI8`=Mnj61}6d7OG9S3
z2hQs_LA4vU4M?@<hJRi7dy@w)c*7vs3fm^`T;+v*RNM;5dDxY$(~2Dy9vi${2Xi^E
zEpWh}8?~s&`F6HH{~9x#acfURG5k65uLleKJ|bmX5iB8-K1m029CCY+0t***&@#ed
zK@<m);q6ZXoHoEgJ31@EVDXmZ5E|G#$4v1tTt2P2y4sHQ!{d6$5}r0YS4NHUn~qh-
z&0rpf)Te(@e&0*e{s!zB{fhAqoHi8WY7I9H(El8S@0AGVI>20NTMY)_K&cN0$$6>h
zRoTZ*xIRzS$_>tbUUj?!R<0PEbb<4nY%?0+Kci-XUa;<OJDvu3%70_J2V5b>cfSgz
z(RJ_hhq?Fju2#V82MUJCe%d4M@--LURm;!w0N&^5pq2y6uD*>Y=eK}kyI!Zl)iOdI
zr2XL=xx`XnXPPoS(tcH`4^Ly@JJY)!J%hOeN*SZ!hBL*iPvK*NR&I}Btv>cM<ox()
zO@HzctokXvF`j&$W|KhxY(Pu3F&%zxvC!xTXF3Zqknspw*UE5$$K4#|v*5Ysay*W3
z`CPb4Cfw~1zhDB(RdnCYgZ1?Nt**dcGy|OEdTrt7taih{tqKOo_dScevLFP9Q)yg_
zgQ<*}ukC<k+Jz59!lF(*vwSc|Rb5^<>>%~=GAB&2@wt02OlQ>cYa2|Xa)yHR&oOp)
z{VnjvrLULBc(F>lQ?kP*x(^0z;aY3Kn~d<g*zG5E;q34gb{2S)qo-0EUQti-p@X%j
z&3DSeYxgefWr7)e4=101|5eXLZG>GS$Bu}>ANVt0(ZY@<6{UOOlsGlM^){?uE9dju
z;ncFpqf{t=ctfXk8*FpyLFy99X>FLz>EK*F-traLC4F(62DUn1y6-QX8~y6;JkDb?
ze~v0I!0KC4sOI2Iq4t6)n2C*jZyWq}Z}cdsug$SFwH-b(K<Ty$-#iqw;T_E9`HPQy
z|CJ4QJ<8x7Hm$r(u(o<?YAk&F+KVC5Usm)%{N()U5XNzf3;tKgTtv>hER=g6@xb-G
zlM;{MBbt%?Wc-eB@`T)iS;aU$ionO!rZ>65dPctblCbiGR-6UQQ)=rV1$Q(GY`22F
zwhmCs!bTET%=f^>w!baTz+HTLe+A%`%^|PE;eub(W!!M#c()9>-tXgYYPZ4jlvCSw
z!JL`Yt2^Nh(MiE%esBueGL!oK>ouoH`}am=o+j7(d)Bq+ADlhv{*9Dxl;{7}4Bz{%
zmCOo1)vz}E0{dz5XKjJgI9=o`;I;(HTXZnDcWGlKtd`vEK@A%`tx10cGoPwZU0v5N
z&%d-mDj%M1+|juRAKLiv&QsVXo;h(E&bFwbkA`=~-a9e|iy5EYXA8eI^QRnykIuNi
zwu2RmA~yBGzwfz+8^h8qv2E=zgI(%Q6S#&}RId$oV%Ysq5B?r1CC~udZaTBw0Jh*U
z6sv=E`%llQ!UGF7^X0J1(W_o+@awIK>+j&#MuvvcaKOoux<Z(8tMkv}aM1YDmpnKn
z(7I|boNK`un+fwpd7Kx63!a;$rosD+?e}uSq7L_M<KdnUo<%(HX2bCKNASdo;A(9v
zeorY;ZGQrv=-{=hfmupQ`yycV6ZHQTz&Cr%+2Y_D?e+J0aM@5NZ#2ANZv0sy?AYpd
z@j0BN-p8B(U*9G1H4#2)s_7mDM}4<aAoqK6;lR~!IHiC4$6VNYe_Bfr%#-(OwFLfZ
z7NU3`7LmK`T?~)V(dK)>)9<E>-^1M>Cxkp<s@~`mW$>qV)9_pH<+pihO>l}Nzq=!x
zcV9=W5#E0_dd!;C?>3I=h5M|}v{=BIy6fCMFm+|MtTFtP>!05*IN9;4&?R_9DU4wP
zw)ov2rU~=AdO81tx16=TtpO_<Q$3!AqpfrpcfhG<o*RzCSC@mI@WBdi<OhGk-)U%R
zIN@uo!!HKl!OSC%x54h60pk5|V|MQPX1J`w=}|4LATONE2K(d*vDd(d>S9?KVXKA<
zn_}QSeGE;kutmVbd$DlT{1amynCs0RbuwO3JD&gIh52bs>LX#hL~#!x*m`I_;vpQP
zeuQBU>{_{xg^d3z*_v2!SX1p?w?BN<>7$4wZ1iSEI}lcB(taxqd**KZ<w8Ec?LwOj
zT-GFM?gsyj7&KFYsZJD0*u#%9x@MK(y%U2k9pIu+%X{kZ{08G&)^L-U5z7U5O(AgB
z2L9wR^;{qRqvz^x2)}vUP)horQZ<Ik2o~C8bj}PGR$^|{g8z9be=~;zO4O@#;pYoh
z>n`vakJk^>Vb5HRAU8Ois*COdT$TNU*9We1JkhEO)Bmo`@P)qw=$%u8x9jSicmO-4
z7H?C4Yxs_Rd<aXaeF-}ar~j$fC-e6-o2bzVxbRf^$P>6wRiR4;zUg(`mCXOWWs%RN
z;C3B0>gS}s@5>!WU?a-(s2A||<mI3HVZO_E1hQbMYW{u+nDtnSN*QdLWu74dmv`Q3
zdk-7Zx(SNHVswn=AK|{}*Hiqk@c!=EI@rRm&QcIItGjvc3w*qG!yz6x*ZDY08>}JE
zlEVwvx;H=XfoGFl6`0_#e8bXy*tW^Dj2Yh2H+%LcygOTbbaG9<e0N8;`xKm3A!70y
z=6m9}c>!*fv77IMPwKS@EyKR+rgj7Hqm$OJsSr;tPJ7(F4%0o~W3UbGs+L*00pGgZ
zFu4<+u~dFw1Pi=L*(eC_{Iy1F3|Bro6Gh?`yT;6clW@q_#%f8}@yD(9LvZV&c;!64
z&wO)mycq0o)cfor-0oF*U=JLt=M~Wh+kPKd;)5%s8+H!BL4xN!cEG&9`5tz{a&tFT
zIbiRhYg}D$b<mF{Hn{ImiC;4u)j;!<5%znw#6tShi*5NiJ^VO4=2tmfkS1`05|&u%
zyj2M^>OKFnzKZyyv}gD=e9iFly9K!Iy^(Dx%w(deFb{`PXZPm88#{A4hv9-r#=nK|
zK33UFL$I*D{uMGGI()AS_rRuu-oLWp6YP{(-{A2}pY>AV?&<gKui<|(r~O{Sd)==Z
zl)w#s5B`w(X5|vTI~R`gkH4D&kLbw0$c7(%9G!@Pcf3zL83)IduTmz!uMO$dqTv*~
z`#og7FJ#EEhrus%9+*FZ8}2PX3x%n=zO?zn<_d?d1;UP^Etdn~{~Z2|`@_rsu{V0c
zs)+{*J>cGaW?gUi&-ORv?r`Lja7jDZKYHc9BV4H;@Xj8V8~(7x0bb$#wATuj?O^P-
zf)oCh6q0zY?~^lP4tMfMKO*sArgk~^GW_M70JkBmyPo;h5I+1VaqbL!FJi?{6Ase3
z=lLIe>00zQb=WCN_M;>$E57hu8Q$`N`{E(kEhXDg0shI^{A@eCmdtkYINUpyx|_t)
zip~lXNw{>3s_^F*JP*8**|!&NlWaLT4pWXuDhk3eBDsG*z>hlKZsvja8{YD$g9C#;
zCvw6X;#?ncV9Q)no6YcD>TepaU;{x97e;vc*D0|C_-Qnk!bZ52cdaN9-uLv>c}h4=
z_iE@PxXR=Q*V2l9x$H0(&tte{j7w-9wsp8O?+KSvS4>aBod)~7yx|=j)T`sLoy<c6
zJJ`fG@56UE-RtOxJ^Yh*V_QG`swlGj3hdEW9M=hd&_1qa3Ud~Z2zJ1Frz}hK;a9Ci
z=L_MTV@=<U;Zg^ex+2(O@VS#E{AE=zJR5%McaXvwmfttTlnWmjqYHC@M@1x_$HTMC
zyy?#HtY&g#5=`Gv*XR#F8kW2A40fSDuNw%{R4smsCgo|nCqm)mhTXP7F#DV!MFecA
z(>WFl54~P_91EK@n-}=PZcWa-@vy}>$9_Nf$?Cb>H27V$Xq6M(PkFQ^6aF34cH$O%
zSd&FJA6A&urM(IFDtLY`fMXTbJ#FE86#7o@;Czj{Y8G&#bIp1gy#EM)jU`+g8~>P$
zKjmz6$Q3x_87(gv|0pvVdQ<qX==Yo!SfJ@ut3G@^M@hOBZfH?IYY5Z7*wxq#GmX6G
z)P%VTy>)uwDi_00EtrnmXnYthI96+L7EXUr>NpDDG%#*I2an#4qMe2r>#F0G;4NV@
zp)+u1^xR`r`1$LMVk*q%x2@`z<YDP8l&3br;l86Cr{D)>y=~-tp=c?SC{5}sNL*%y
znKD|opMcM8WS-@KFDo;g=7!C$9_A+JixW3P-|@inui3MA!@RA$7Z_oKeUB^uf4)eI
zt!IL_q}ppqpxnTl$9VOhe)*k>eoM0cc5R64T7xfMs#rMzzc8o2QUmL7lvk1SL&F}+
zZ?&+hU8*)YKfK^)-jE6>1oz$5hLtAX1t!DM=jJBP!aT+Xc|Neh<xy5m*hzrrm^a+{
zd)ZSB)?v%Las_UjOHC)|x0_#leqM$-w2IkP;g#`5_w#UJvAqb1AEV}f=hWd3b*690
z_3Sy%Y958hg8TLKV29pqCQ`6L?czZdxL5tS*gm+dyYd~mUR6kG@n-lx`Rk|RFdn?8
z_IlI8TS^2Q$o$moKTJ;p=lmyfEDHWx#2GiYtY1DSasR((u&mYw&IQ<s*}p#t-u)~1
zP!`<SHdB}jd!4E-eE~nYJ;k36TUf{Bc*9dx`d>)AX^H)L*bAQAbMYjZ|9<<P*W1FE
z)x|E5`9BrDc;P0@cwXQ=i8t>fb$HF;+`a&n=WvC3Uh*|Ku;Xqaxu4u>)|;2$bGQ3t
zV_=qZ?RWIy5$3vWL9iQ#jLHT0<`%)EV0fv`sqZZ8y14q2#GB{WsMxe&ft@LrNj%cE
z^pPXwLaUmSGVp#OW(GxKpA6@daNCI2V+DBUrDs15!xikCFCB-kEsoh7g$wrt3>||*
z>btrQz-4uuITED4yP&BAytqH|usH0g!rHtCzOYRtk`w0I@YQ-Bd?37)mjm9YTm4lK
z{x6V4Wo`-k?S==dd*LRfR_T7&f}Z1YW()qk;uVAKC@eVtw>=%UDD>nQfH%q6%-?}S
zl#<nc!i`~PuDipYarRc<VUx$-cIv~2kKT(PhbO~}qjX_2YJ;*NSmlAD+F^J$&G64J
zI97I7<sq2E-t#`W-lvRDblmXWb;tM9aIQwO2Nz7ec(IRMZ^ik*!G&hD|KSnVKX6ea
zZRQ;O?i#lSxnC&(c9vJLXpc4zX;1m4BhT_+f!Sfv9(b^C&LI)r@>Y1E6<!nAx|#%k
zx>!xq0)IH$)Da3x*fD<j2;Z9?x*P^G)(+@>fW0~^8t%hawM2KnhZ!EVY6TPj+nDtZ
zzG9nG=>uPT7^{#4b9Yy_`N7QQp7k%_w3RsdyKuEtQ{;2FFFWaz2kaeQv?B>_sJngS
z7HqvmyD$_U5q45_gDY*6WgfvizW){35l{YX^??6o9Q^1AXS)9|xC^@~(@WXFKdJm@
zufwcTeM&cBo$C8;Ht-+TynOtPwH!qsuY&@tX0mko1{~*n_@6v{Rlly`8hmrx>p$Dz
zv3<!d*Wqr?2iDuk=Nmg2oZ*sbcB)Nq{xc<BSNMK`>U}ym^*+meTiCdV^Vjc1{c__S
z9D+`8qQh6y8Q4twZ1Ej9mg!;5SJ?6VehqJ!;pS<XZ}6nC`4H(}b#d#eTX4Rz+nHFn
z&-$;lD_osX+M5C^8y{-1fRB0Kn@Wduf9C0#!#8tJ86?12f)aj8F!!EB_f(krc{#Hp
z9JR+_j9l-;#9Hzp_{)diOQinZn5caR;R~D6&7Qy}UR(9I!m*oU{NrF+RjU?O_`jDU
z+tXl=suz;~7WB(Messux0jp>(Wvsx?vgJwzaJ>RQ!w~FJCemL5KaRcTJq&X&x!700
zvOYFvdtvsVu;og)%`&UH4;E1P{-7S75zNtVg2y?T<C@^}MPn_W;T<!VBsyW6@pj2#
z_=S;oT{rA_nkKUZF5A*(I0R=;EIQ`G&H-PChT&HZ4XfF3)($_7UfA+hno%UoCE+qQ
z2%lmL7!8MKH3YP~;EUg`sJO$!E|Zg_zG9Tq`#bO!kJDZw@b>*@wXVa{j7*_putS7?
z!ws1K&^5tXxL+4X0$6cW;pHEgB}eC;CA{y=-!B`np5sp*QojP9&urGGfo=E8elUTl
zv_+<vVds+*h8N(6%pI#N@a?Zttruan?gOFQ;aT1Hacc0Z=M-E#u=-v6=??s*OaG-H
z%zsns#R>T1shLt?__3@yzbriQ^uP1s@OU=cq!jEby|q&Uj^D&|^$7fL`MQ-fyuUke
zNeJG<HsvY<cMRON-2-RNoncaf-%3tUZ-bo*N_kY_lixesx!{>1u3QcHM^kv(;yljV
zh4oE3aBX^t_yWw|Zgu=TENXA@Zwi*-W2{n#yJA9pC*i`QnFmzh1K$+R55r%dC>4|I
zCu-S${Q-x+{2?F@PtgcJ?}p#;-+pll=5Ey&`v#Yab8aK|Z@S2`&;l>K&4@n^dnDYW
z{|uk?=y%ym>hmbH)xzvnHWXs;K@KX368Lk`W!Vmlm(cRizZ_Wk^k5B{Z=;n`yE5VM
zy+>RMVeJZ`Ux{!}+N<><c%P-WQv&Rqs%Vo9r%lf_7{SpM?rCq}HBNi&OK?WfCN>g}
z^Zs4hr3H&o7)9s9$`1XR7vbl>$7#uW60C1@QiE@vKNj*5e*dv2Kn3P(SGS0U=bT$E
z%E6z*p8k%3i}|;>NyBcOm5C%?`cG_Clq9a*AmR>tGGsQ1!%u92BOG84m7J%0;CYEU
z9ul9tOVk8};YVN814;a}^fvNkh9{dQcKnZ{`;N!*d*c9}RaQnqXxMvYCqxk;85J2J
zBZ;V}>{7Byib&bzt1?0;D>K=$6``ceLL?Nw&-wlNex3Wd#~If-=ei#c5^p!U6|XSE
zI!B!gNWAm?ktO_d5%HJfUmJ<vh82s6v#^nb@2N1D@7dJpaoCGJZXz6xp^_h(fM@Qp
z1>A#Awr=tI0GDcLM&5^IJIp3O!m)#Ic9M8wUFoZp0P~%0KmHufYqe;Ohi#b+YRUW+
z<F_gi1fLk9vmo&;Ao*KS06ezkdL4;xVcWtuoZ#x;Tqnr<Ms0jG)d9|W75z2=&X41z
zFo3=C)=!Y@z5XH;c?j<Ocd?$_&sB;|$F*R=2-U;!uu~H2$Ua!FGp8g9{wurqTp4Ee
z_Rx%mi?-7!D!~-5KWB%+JA|gzrC{Cj$@1j+GwC?DO2AK&uQFbN70yr%^TS78DaVld
zT(aMFh7Ybx%Umb(hm8`G0vG)2{fV0w;E#baZ#ZFv;)eM%@XiL_aAx@Ds<+Qs_=ue@
z8xu@FI68I;_S(63hz2%Nx#i{v-?56Fr-Zpvopj9LA<w9al?BVHQ7hV(qi`8}weB+f
zaP*>zAv~W_v1JbaSHxO*7<P$WO#BH)tN2Ukz!Qgl{Og77tyL=z!52*B!+PMhv*{9A
z@b9VJX0346M(Kk6@Fs2lPtEWe%l)0IaD-{V(^}ZCh9_e$%(K!WR|A*6yT&RH|BC5s
z$cLW@UE8SytGi2><-vpJ#v-KP#6L1SpTdWDPO{3t%<5e+&tS&zl_$#Z;b$!i(eV0>
z!zyYpd!du-J@`)JRI@g$SZ}Qu0XuOYGd&1*Tm5<-3HQJIHD(0+?;P{K4(~}i;bsg^
zYWPgufMZ_%S+{`sUmIWZg8wL#Fj~VaSBHLk!vbedq>}ok*8O@|0WLjQ(n;FW?XGvf
z9Bg@lZJ!H#It0JS3ICl4G9c}jOVRv?7ar8?e?{7l>C?8KOTRGRWIR0X3SU`pbzFuW
zM|37hf9NdzTKWpUWc`$zjKAxz@^y;g_pVDf$@*mHnLw6Y_z>^x|NGmNyP$9u96J^{
z=8W={t&L?5;k8fhbEH2-uV)-gfaQitZ0zCM*M@^(us}-q8S*^4dgM-r!aqm5daPiZ
z(VTbZVApSFPTRq2Y-y(MFn>vYmpRP(hx_GG_|N-YPNaSo)p#__;QZZA9i;#5^sDLG
z4_gM$3?7HKpD)$ZhJQpo^R$JBm5&a|!!5!5{-i!Mdvwec;j-LeW>Q~|1v|$D;nzBc
zc+SB`&s5k5!)wu-UXbUv)KdG!4%0Q;my+?NC&lN&31=ws83n^bF(2iaVYiBgF0x)t
zqpQedflH#pPTzv*_|9LTg>NNF&fJC{@tS<6gCqN=ug1ZV+ByEq^OjX<Z^dqrc;ZCg
zv*{1)w%z3qi3hfWH#&d9m!sGJAMc#z@@;;=bzjsbNj!MG$5Hef{MfzSBNA>+ihKDL
zzEH+6Nbc{bwL#z@EMSvhe*;crzD_p)2maUH>IaW7&L%g(D_=kNllAo6oUC{weC#5R
z4tf3(*@=ZJn2+UA(`C5NQRZqTO#iS;iL8g0xhC~r!LJV+m6QItGfA<x2$t&#5heXI
zxnVvv2Y#EhnnU`>+(V7FOgOKt>!dE+@s%zi1%7;M|5rU&;!di|eYiy``vW7qnj9j3
z8-7>DYRd#uf0}s{3DaIa&`bj>29zE3gCn9g^wPr2z6Oo{@E*<gXISCgd(tY+U{+2C
zYA$lT;x2__@D>K82Yj%eePg3GJfu>VE(q_S*3vi#zc;v}MB+nS>8CD5SY|tomMknv
zeMC<g<}~`)tpYRY41E%Ye^qG?llY^jc*s-~ZeZoSs12uVX#UO#Gm4xGAkTX)UdEaW
zZjIAnHHME~nG|M)zek>pGl88S7(Utp?{+*OZV5j#E|#T)bp&oG*uYYpTQaC%Z*H3g
zC-~cmbE?1Q5Fh-aI!S#u*4O4Pz%6%OoXLFalyCK+3m$KM<V)I5)v{yuJ*=7b*_4dm
z%3FSA4e-j1FMX%s^$kXss$mL+umuwDauw;dO5l6PuK8%d-;O-CD2DelRhf|b(Hn9S
z$b}zAzwDKUhdoqYWWy`f9s7mh8m4OPMEGdUb3-xsaYy3&hp^e6cdvQj<(neT5pXeO
zRE+@4<HtB32A`^YD$N7`i0dl93QzHcyxa~mu^o7N5f06@zuMl8@8hjoeDZ@g6h^ML
z!fv0rKA(lPGJ{e*;ED_?4lnqqQ4Y^JQf|T6=>`|Zv8fz@bvGy_Il@(TU&^)NUMA<(
zljQg>67KwPZg<jy<FI+!uQ>tOMR1|P7%p>DOs9akXjNnN;6~ox!c?%Pk9W2Xyz?E~
z`dl00QE~NUb@<+3+x1^C$AvK}HMr--;Ll08M@XSv9&XFO=QR!c%Gg-R!Mw*)Mn>UX
zmbt>>@RNtePGj)t{J{cIc*9=njzM_IR5p+o-i)8C9fChDIneKd1LfIjdf?CsrZgt_
z<hV_9KYZYxfz)QWqsdwMJ$$A({SP(#M1ZEe11{+QdV>m9q}(jp2zOu9FkYQSKKa6b
z*-h}{(U8GqSpRU&wi-A)QSIUc{71Z#?=8GX?e_Y2xYD5Sb~!9zIoUJ}Z!9^r<qiB(
zhKjup{@Z)$VFdiTF6s~|ugdw!9u6lN=$smab8Q!AF2l2V@8Z6~f}Us3T!R0}@d=E=
z$0E-4xWk(alFg^!;GLh1-QbnVk%L2UY}MlSU9jWBn_GI}tM&eAyzumCbBQjvGv42a
z8CH2jwbTU1t^fPS0^g>-aJ>=stN43{7Ji${d!!m>QTO>l2Xi^a4phQ|OP4Gu;C(lB
zGGCF;NBtP0gl~nvkuQdaw5Rk}TJe6D@4|WxEV^LRz6z)72IyzNj4}Jn8{n;u1%ag8
zK%}Fy9#%T4$dC>Dmp5y?fy2ULE|$aArK5^v@a!&@4Q23k_u;ex*wl4SWf~4$s=xUR
zUgWcQI|=)x*3YNHRJ)?3Nc%}2O`b@CFX)*b`~&ZcO{u;G|2*aBy8-Pz8MRS868@Zg
zbJt&#Kh&eWb{_T?yE^p?rjbmcxd;n{2=Dj-E1!H=WDM&|NKcHx)ym?krm*Rikf_hF
z;~~C471+cg-tq&?-u|3Y6+Xxkd6Bfosfo0YqOjtX_Pz?ZpPtV}3fAW`cO=hyl7hQi
z5PtMGC-xCMq&+Yu4v$40<a-D&uy>g7!|KV_Gk4)Bd8J+f_^1DhPc*DSA+eta-b%%G
zFbp<Tj;!Af3rQDu-h{tw2$I_hb4zq22f{o@J{GgXA?ZF60q~Elt^AweBOLKdUa+B`
zKqeE+@KO85Mc7`QooyqWQ|D-W7M?0|j^6|qc5{9@1MB;mQ?0k){kD{q_X)Vrdzyg~
z<wLHVlos$^-+{}^D5vuZaNY;2SS3)e!FtsPf2qTLvmu^~u-ez}Kk?gjRXgWhY5u`0
z(hLq9u+hY|1R9*LS64uW38v|Nyn|dnh(|k}8D>{3%V&lq#*d%d1P5h&P-KN)X?uUB
zg<aj|8o6Mpx4}6Z;A?h_Mx?&to+tBC!X|eFzmWP2dz$ll?kC2l;gLyUm_@Nx;ukEC
z;1VbUhZoc>O~RK?U7_3!e|XpDIt`a`+>6@-vn_WieTB0elDYT7g7IIUjlnHJuX7K;
z-2MaJpI{5)YB?SFTl&QK5OMcF{b4v}??7QM93=W#{|L-Vv+(c(>{7sS(GE`W7<BG{
zyY_J{*~5BUzJKV1-{>ery24jwn=+c<;^XqnZg8tr=e8F3dY#c@FZj7s-q%`~`h>p7
zB{=qTk@;KrrL=QdAiOQu>1QGQK+?4K8k{@mc&Zrg+vQ;%0h?thN$0|H;kE;0{9K5V
zPkR9ye)ac=g@Z(!RZ`%FNYl&luxLSbRx0dCeV&1g&yXR51JSUXkuuw3ID<*8_%59E
z^>}6$Y|;Aq@HLpSWAlq#c;In*RWMw1L;Aogcrf6dfGd3V&f_)`ACk6Z#+`)^aMYiw
zgO7-8l(r(re>vv*4&LuFoN5hk2=!TOhmA7#-1+>&vPwQtpy(USw&f$mC@d3aa_A@A
z=(qf!6ZVQYW;_qe--==AhAYx;d?oSi;l3Sx&2SG5h09-9`{UvAHuzAnZS-cu!#h5Q
z&ECKk6-MzSzFy=Td0PonG6qR-!4H3)xcdtBUY^b6hP8K1QkB3HFZd1!z)Pto+w<Ua
zywUZ7@H4Yc>lbiP;YqpeaM-6ezmj2_7^yuZ-tTli;G7DpyV|vi!22eWs!zh#@|M5L
z!_f`Y3U;v6*lvF{IOXcwrXw)lvlqep;6-X-brX1gWt>9~=IN77QGufmhNT+9`$NM@
z72#i7S+DGcMbCT-k%BLsR9hwI`zp6VMht!-6{11zKjB%N!*2K>wRIUEoO2_eksRNq
z@?>ojd}vZti=2<@-xa@&u;;}zYdN^jYRz;J^?Bhr-(6MM+~R%vFL)ov&1_{@YwB3$
z7r1=qzma_~JFk%7XSmQmAcNd5v%#E3G5mCx>%1%+7`d~C^cM@Ao;7J$!g^Th1zf}H
z)g%mmE8LWy2m5p?SO~$lgWqj`3fl<x3haOre@&*4`Grj|F`oxEc=L=Q4ZbwHFMtg$
z)@_JNhXqs_7`DJp%r{pOV7j3EUOHGLKPBK1oVhjFkrp2Fww|~Lvv-QiZh$w*o_8bT
zCGq8kH)}JfpE=2XGM-{5vciAEMs;ddw_(;?hm2pa#X`QEKis0hetrsG6)P_afYr`@
zyfqH@zLvgC#{26N_bf)>R1<lYb1?0^@3$e?#AC|O3FbboSkMbc^G>Zf!;-23nmw@j
z-gMWKa1X}_Ln};8lQd%sKR(!%&<xLQH#=btk3YKSR134M>kV4KuAGs-s$s6JYr159
z{M!@Gp9VL)e`<Cdes&-xF9o)&wX7uZ?LVP*wosTQZCaPipT>{J(n4S_;l!7RU?Z~(
z_W(Hh_&Fs5SpLXRxGyZk)V!I@r$Uxbj$MGCq{T;*_)6QX6y*k|J<#7r;=9Zuy`>{;
zD8y334J+=Cp|*pUnOSKl;1kczzc+`e4Bm&5`6=wmjd){N;`Wa8KFl}IN4y;LU|+@_
z!4I&Lg%XoCtZ=^RbR}&1Pxj+pcyo&1WEI@oN*|&OH;TDQWy1b1m`!A0jg6dnPvP<6
z7w(ee_+7T4@$lharF#TnHCt->1en*s<v1UFs_)R}P#8Zb!p{X8`%O56!xj0xd7SX~
z&5`X_;TP4D{>*S{laOgJEM8~GzywEH)>rtz&)lv&{x^;JscWXjAErti-TfDSlXXkl
z3x1@q`tKLKaGERM8~&1e_SQW7K>gKrci5&X#9|VDvSnY&Irvt{>bG$?XKaAp8UD$<
z?d1r3zw6}f)9}AtF<Qeg^^=u9Ct(ADg3Wz!%kwLKb};?^Lh)|6_fL-L5m+Sk!|!G|
z+CjL-7;ee63u%I7KUZq%!Gj@TCN*$}qkQclSZ8?aNEJLZ+$^mH8_Mj<ehr`VSIyrK
z`;0g=7QwB%&V=oTO(J9O=fIA<o%HfB?Wm++HvC%8<&ro&w9#(%F|2v2<&Ok>zA$lf
z8mw&hyPX^6lJEWS0Pg*C)O0(1U6*(1K74(zzZe6&!fRK18{W60CyNo@lK5&Q0{-vg
za`0+1-j}`qmmLh>;XO?A5ANT`c_I)V?pxO#h5yStEp!RS+N|j-Tyim?<2<}4YlX2H
z-oUqzbOs(eqIIVQ?mX{P<_rt}wstOqdwo8Jo`l)flg7*8#&DWi3%I_!E$$)Q^}_3p
zF?_C{mMal<;1FX}fju=j)al`f-<S7k!V~J_rL^#JmyV4(Jalv6?ot!tck!B-BK&g~
z-_~VVa<J4%2A)-wujz%~4P28Gfo0n*wEN+70Z(H=_+Z*eo_BCSfclQ@u<FCWqy|_o
zMKzlnX13fwR|T_Qp!eAVd%N*OR>Oz#S>l=D@`UZD@?i6!Zw{N_FD!Cj^I_|2E7z!D
zp=8;zR5+8i&*<+I>d#kGJslqC`}S!Cj*WlwGy&%CfBSqMrn}uJ{s{KX=Knqor;3#K
zUx7UvnG3(d|81+X^o2S8yEi)oGi}VGwSeyr->&F|E9WyKPQZrOh6lP}1?h+Odhp!V
z&rh4-(V)Adhu~{mn(rE5FP>|qDzM%rz1S*Pvh#wPDm-{IK%f%tzci7#8_t{woh^pt
zb$i9+;d8|`K}GQ634{CMuvT2VVGjJHOP*5_R(i@jm<9J<d>SkOm-+5F5CbPqXw!<q
zXW!1ejD@*RcP7fh6@x2>Z@}_?{;A~rLak5VguuJDGAOFS|5-hY41npvJ{GIPpF5BK
z4TSqc&lntpm9`l-UV?)I6<c*-HIC&yS761lI(uW-e#_5|p74W{w?|E2$@u%1&%=_E
zJFZy5JN0jBpMkYSzbsq9VvX%WZg9#0N&$B`+2qx{13Y=D?#Vg0*TB-j3C^lJy5}-X
z7pW#|1E=}2m67&pSqNmcgOA23d<}<P=q!fJVV~=>PLc4`l_jGSu&c?nl^9rAyP3xX
z-d(-N|2}M?>T=5zrvKf<k_?-aE1l4XFN_D>OMzeQa92GHAMZ>rBmHmAOKy`6Jg|CH
zy#PM-(s^7Lw%c~axfX62<}ca@|G6SEUI%{`oZYBRKEFDUF$7O(r*!Rw!*s(%M&R9>
zI}0^n8R=}}IarnQ$~7hUZ2s}idAK!|d0rX*>NxJa3Y!_`y^(=4UGI$lg-y@v$n1tU
zhwuf^V7wZ4jjW2oCY#@`ZG;O0FS?1tPom6Ym|>xKx;^~x*@UI7tZ>RH32q_SdixFy
ze)#i|*Wb3oJSR&l1>heZy5>9KGTXyPCE+->b^#9fhrst9DR{2LDwY!tyyfev1h29U
z*)hYyT`beeaFV7=2Mhc-{mE7Qb6w4iCSyso@T;@Rl>6avDt9J&a(sGooId=#>FY-d
z`00%0Hbc0M%GH1hrjGoXeH8w5b&zv)67k8xPx?5F@3)8jg%xdBYEQy37h8@lz*ln~
zXxqW`C5CSo;j(SgA6(#?^uoI{u;WyLr7Qeev(W4pyl{#(=N7zg$SRba-~G*1iAdN@
zVswd|f75?kt72gFc}3gJxStrCrSfQ){cL?Z6PyzjZjt~u<<`22z*iZ|TVi2RMf(BL
z9ydD;?33ULZ<|Y6aH7ZY!3S_R9qsr1a6r?jXBzByvw+(GejP3UGX++6JQZmOU!ADD
z{uI7u$y|99W@x0R%!F;}<ylGpcKMoBSp{#>nAEn1w|UK~SHiDfecyB%&In_V{!C1t
zv)2ReU^8PHfz$u)-Ejd<cQ~ay2digoGVz5^n>{T03H$N)RQthBoxJ*g;5z-si`QZM
z0kekRuoB}XXA(c;EIwGT!=kwdAKr#-d^Zh{`K`NTC&L|>axv0lBj!W5o;i(p*h;o&
zh8lh}k;D5CF77Jh;D8(LLXW1yw=WLIZiP>rIs5i8teI#pwgVQj)Lka=PVLy$Odgm%
zN7j|Z!xBFVH9^>ulR25h%dW#brTnm)=<sX_ywvgVvKoB){X4-LxY;asQ59yU$jEMm
z=b0ZS1i=w{Nmt&&weq)kuED#<9$J$4-G3uQ`yM>L9xhDccjvHIeGDw;8$w$PD>|P0
z`2=QlIon+d;~n$)|KKXy(>mqw^q)SO7jT-o$R~3DcYbEj6~HGxY&RnJzm-WaxfEXW
z_%ENt>-$g21ju^Qx%Do89GoAs_w_s2jFsvpiO;mxU#Pdh2W7whCh_^{{@tD3Fz-Z8
z4T;YuzpR+`!U5UuO}yc)=dM(?!V8r*wvl+G-`3Me%ENN?!$~}I4zxZw4F9@Ce@q=V
zt)LwlfiF<By(RG}zWa{X1T1ww>@JB<ukWk;o`mn+IYg-f^KY$+_ys5QueFl+biv$-
zk>qOzEh;ofd|FqVNhSFj#TlMnUikWb$tN4IzW&J4eUQYX_P8PyI+(7s`57HNr*XN0
z<ePkxeYhFmFcwNv4w(J7MZi49qX<iCFIm6KKKeUD#xGTY<XMuR;mNySG6i3vcri`#
zWdk3T#L0N~rdPWr1#iq~TKozx4U|&Kz)r``IDdoL4fW!c;g;^D-9vC<O6@k1ufgwz
zvVDg0Hw<g(!{1hlhx*~>2=iL9|L}kQqjCT~vg_isHB8y=8rcQ^9v*im`=z$M>Yw`H
zZq9oWS727-?5FK;cr8ti53Do$pA`B0H)=N%lHU}aKYnTyt|**uFNY6Y$T~pokEwUl
zaw}Z${1+3sKl?kuz9e5!l)73#%Cl$QERuZdrCkz%q`dXTp3Bs5_Jf<Y<o?}T4O7|S
z-4og3A7IM*IzCP~UwtFvAZ)?euP+LZ+Y0oN`?o)MxJ3+3JkX}w1INqs*~!8F+~2me
z!rmi#Ur7Go^7W|eZSaI_*Cn#w|I3tSR1YUQX#G)#75^Qqd<X0BwA?xf^WM5R^&gy9
zZgY?1544UmSU-jLFHZ^|gQuKW=i}j%l!;;%@TSi6QweasrT7~=*vI$LpD;L!qNU0K
z_74+269K>RwmL@g-DQoe>ppN`>5RDt9PJb5;RhS)2Tqgx`3vrwsu$tK?rL`*IPeH<
zmKSleDP=IMkTLJ=25a}<yM7&BIC<flJM5<<xa}5f!LZlg2EM&3f%^_z;aoU<626ik
z@gg3c$?^y`f|+^m=0AkFIM-MY!xHNMw%>!_UHvqu4L@5KO^$(2DxY^d0Ize$(nZ31
zwwo#Mg++dsMv&_z#a4PN!tZX`tGL3R$uBgeU`>Z>C1+tB{YfTa*w84nQxkT7|LuS@
zOuOc4Lh?5@x8)rq;7qSQqSCO!nD7I6*vpbTQxeXMt_u-^!=1+CX3?LV&rKWi!SA9e
zw~_qTj-*W+cEEm_GM4@DYT2IVt#EDdfq@S&o7jRS8~ix>zk?kxZLO#<1Ke?==v^mF
z<2PPJ2mg!aly8D{)sGo2Pgqu+xgw%S`ZKS<&cP)(qAfI)<ma9`)~FA|LM(v-jqp*c
z2d$sriPeFqDp*D4{evF(zw~zI8u*20mS{KJa7)s!1QyENSy>CaeV_>-<HweR>PQXz
zc(eWZOL*mq26riZ=jFjOMet8K(dVyWk#DKp*>DGovv(fMm~rhG$uABcQx?jGm5p!3
zlY9(Y`^<?#SUNX{BL=Pxy1ASIzy8Oirw-eU{;o@csqW7;XuuaF{v1t&cYQdhpadVF
zKg$~n-wx+0BJrj?@qFGrcw37*FNsG7CoFY?;dn_JemQvJscYX=*tW#{wiukn@j3kp
zeBsP?CJ8v5_qW_-xM0EEhab+S^H@6vFH}gaka##}6CULb7wQH&@xZz@)Rs;#ulSyC
z*kfvTJL~wKf{kYS${FDOV()Y;;WrAm)i=WdJ~KTQu<W^kr_`{<tMh5baDQ8*7|Hi%
zn<VW%0(Wox5KH2FPU8z(X*l<ddps4&1)g}d%fQCw0+NjI_rbY`BJgPGn{0Ca>Ai*Y
zVz6DQmllcd*Tp4!dErYbj5VAv3)8d?Kiol6dz=>z`Pn|m3Lj4WZcd)B*el$S4SvFx
zGEM5kgtIYsWgPjkXDa7pVM(hiJO9EeD|3`2o<EQ99!P_YIATLdK1tnsRsS)p*n4z4
z$v3scH!@v-Yo_RSTERN;djc=QfpKjG4#ZpcXPLsAyHa1CfzSVV%zYFN*x;gf0rvUJ
znSTJLJzk>c4M&bwXzhpdt7c!4{M+x@k9)Y_pIjaaB;Q{2@_rL1T>UaV<t)4swO4Ze
zJJy#prMo;~?o(71|KL!isfg3?=TJ|BI`~FSI6b+ZOW^I&xA1*`n-pL8r`YR|3V4^#
zzFqz>#gop3H}G%*Tj32@J67ZPf5blN^5L*?v(ej3__xcIhP!aYpHQoKIN>x`1L^N&
z?RT3Vz_RCOt;zc`?b96+SK*(xv<FGPQ*!nF!)tJ}<Bs#s;mr@GWzWO8it(N~@W-Zw
zY7bcdclp2**y`ji0dqK%qto&k{4GtP@EBZkZt*S2|I1Gt2s#Wuq)*l%`P1S{Cs_>P
zb^EHk1h`4nbKn51!09MU@~0YGqTTkxb?zaL?!h;5`ycSZ@t3|QJb<GPJ=-JzfBexP
zP40KM-CGxW_?wSQP6izCDzc9O7N|1VPsaP-XLsCJzgbp^%O2LshoiYV)|TPuV3%x?
z|BV^!Zk&VtRli7(=baS&!!!-|6ddXgh1L7N9$0`w8#^s-!i&06J@fFRhtstrA4~18
zojM60cz^0Z5WKJ9`q)=^|AD%n)^OWK8}1pHZ_wD2^gpgAM!}?fi_*}%2rOT6>+m3a
z`SjrnVzB#N9nTN&ouVsx+u$!n>rXzzwo~+tWIS<YT$mhy$6nicFJOG$>E+o)&SxGm
zw>S?!n(5IZ$CuJ=Z}|*62P<qQ=VR{(HyDMzBI1+#;K+%j;*T&-;-53^a7fcer9oII
zqv=)){3~0Mu^F!8kh7?RX%_B8lJ)61uCp=~@bZ_j^fWk3W!B*>{AR~ZfmHZOwf?qh
zI8^+#<4riOqsFii);N58>;}B1t~m4#zRrHynB*(lsh@6n53`q0boj#R`r(SLuvMc#
z<{3DJ%PRR3TzK%vQ<9J5bCaw72)~)V5O@r(_qx0I1rBSXS~r6|j;`J$&+j?R?rH$j
zZar2u0gI?Uo+SCj1dlr&V{lR32MJj?f_LySX`ir7PTA5h+q;)lBk;cbH4n1Cs$`0|
z)epPvbpQDUHk_Ju=z#st6>fYDbE|%kA<yS2!gI3(?$NcbCeQbzU1Tl~cIWV1B=sxb
zRDJ#hIsWhBvu4<uX}sV*{ImS;r!M&SY>+(JU;2Js-$2ekWsyL49ai@Jr$E||)l)j+
z8a(2)X5I^1((BoI!g0g%kwfs-;~z)P!R|S8xukzQ<zFbafn{d~zl_3b>DQI5;a3rs
zUZlRL8>7?BV47gfr=<U$Z`v+k3g6-^w*Cf>g=#yh!08lsqJO}C=i9!Le1PMj(3ewi
zNB4NC5L`uT{{0us^vh$fARMjV^ynvi$2Q)d<R4f5-fCZhDV(?eBl$;PDw-xz-;xy<
zCR>p2D86bFN7_TIZTw6d{2<1ogxsI0)xUieu)0TE2x)JsF89heu;kFpQ__Ep>Vod)
zz{=aqyh;65rcZ8t0W*vSJs|y8`p@!Y5?uauOG`JLbv62IBK#>>{U@p4U9_oMB%gG}
z@*O`pKYl%`hUA+Lj#w6w_D*ZqD|HQ?@)-V3`UBmjmYg8?wvVUJFr47oy^Z9rw5oq*
ze}^?>?GwD=H%5UPr2ZH-xKfk+*A1gT=Sltj(EN4dEd0gx1{Hb!l}mqro`S15mz5S_
zzCFR7_AqTua098&vptamBtN-f$NVaZUqjoNtj%F%C7;_X@JXI+?~GuhlcQCXh<7_j
z;&czgfvcxYDM)<OODoWZUk|i|(7`iN+vN|yU;i3$(!!%QBFQ9Q`T8AW;5Im{bW4gd
zOcNQ#%n7SM-bpV5r+R<hzYFdwiHeYd*UK%tcfhr@j}`^t2HV_C!f;jUrb{GWsU;zl
zAP7$#+xnRs-h1<6izIx=Bfy>u?(X?+BLU||M6|HL)DyCI<zY{uSwm*H@zI7pDOlE8
zaCy2B<B$2>V<GtXud*vYU}KibdVYAcuhZxg-2XW;h8v#iacmoc%Lg|Lalv)G9(#J>
z?c$&2SYVw!e_!{(Yg=cwGQkX2neNoXbCorpY2cvs`%De+=nLbE)bOR%B%ez7Wv{5_
zU)1-h`@G9lunbdq2dV#rXc5QP@Rz)}WHKLY(8(Arfj`U0$ddWw(!MOCeAvf`@!vRX
z!z9>N055KR9!2`g7Fw}A&*952!mUVu@|{b3odut+keng$&TleR;4$3S#Z=k@pZ>x8
z_z8UNT740TA42v!qg~+CeU0NJe(>uQvYduR9W<&*{}-Vv5mAFbnMp2?{x7Cx^i&nz
z&$6OQ#*4J;k)zvSXZAjKGM?I1M!PxS>@y4e<a`-)qwN10uzz%{J4WKk?JBRhRk$qk
z3q3hL>DR@+&+wjv40Uq<?f0lGM&PKUO!j0xGx$L%-4568Xow;6lYPyd+*WusTly7=
z&xelOxls-;A0D0{@!8CRi>3_b&p)u4)XyUhu7PLpy4ch{5>Fl;O|^OozrFXUgN&aY
z7gOs~;QBgs>fdmloS<$pTu1##gp41TAA&n>!<9@5mSp@af5}LSgg1N}nIiMQ{MG+x
zufx*MympfDWBXem{2F|qzDa8x<u_gk*?PjE_Q$+7p}fp8b@&`SV)`te^bbj$^dcMh
zaJ_gFBkU=}tz-?aM*7c?@g}CVozVa;`bb$u#^ctN^hiT^@sIt`8qV+IlWxBkmVNRg
zi`@UW1cA?LaE0U(brKH*<@gO1U{5o72J*a@-IJRY;rskQ5=s1BpiWehf@|x7TuFRa
zwqh%mhJ8Nn`%CI~ZjPBx7#8`{)kx+KK8N5`5!mHuf)$Bx0?PpmyWod2GGb)@)ef18
z;Dt{{uavgIQQY4aIbkslyBRXy)M@!#;(!^phAWWxdHJLR|H3=GkN7T|K&}^45G*hU
z`yO~xPUfS9iYv>*@J=(@pCleC+@SIuf_+q4uabB#(zy1u2d<#l^78-f$$HbN8!kHA
ztxeWn6y?|6H^V7E*e;XxS6&E>NfWI4sf(7h@69-h@@iOY?}J`4fBAC-?5%~Z>8B&f
z^{&~w`#*#AGfGd8`}y$T%j$F3Wh!)v^iRvpgU;!2A;pOjGCt~U4Zl5x8KWc&NdLdv
zrET&EF59)fjf^)|t-SY%u+Dt%b28tH6lU&?g-@(!U#W&`)tJie!^d`JBoxAqwmAWM
zaEW+!b2;oFczEp~ymWqk`UU)){bSW~J>rXe&(7Cy)NennKd`@F<exnF?}CCwD;(l|
zLc9ciDcIZJ3@4e(jga%lP(J4>fIqK!<YvQyB^wi7!tEK3ozGx%hi~W7;k>6$Q`2D9
zVD%r5VTQ7t<4JIPI;~6uJi5FpcptuY=|pZM+-DN?;U?@C6*Zs;a~pFp+<{9<wXGFk
ztGoMTZoxH^Tyg@ih-<Z7EX;1$TEGWO*L2R`gEtGj-oXWH+-N%X7(VctZ5IbjbFJq)
zxgVjY>*1SW16KpC=P<)yCOsqE-D#tq30Lj8I<oQ>e;*gubdJ<ld%BSQGJNLAY%zI0
z?(iPQKDg8_CWM^tu$k1Yez;rn31=!i-^aPs4hvm5^erB)tZ=>50qeY_7`qKCtks{o
z57V8~;)sK9tz8+7fsc&(s>Z;_zUY+%!v{|1pM3=PaQ@kI4Q{<HR7mP;gf4#UBy1VJ
z7EI3fcGH-n9lTbeml*-O9LiTc0voc3UJ8bPyjU(VhSg$&9tOc0$7=8FgAeIAow*Eq
z2ySH7f*sc4R=wd@?GrvKu&sDdlRI2eDzdx><`*rtc7tu4=pA>%TiR149AO!^1EX^A
zW!6s>r{KLDLPp}S&uo#EDSSmd+)xVc=ih(z2%Oib$G;seS5-Ko3o{B{Oxpo}(!csy
z2R_<j!pIKSfAY#xhokpjj^u#d<?8pV!Mc-2e{Y8GPZW$u!2X}^F0jBsr#4>{haYyh
z+tR{KH);0s!*`8BhUj2L=X&Q|u=coW;h#FZ{~fDS<b?U#4CPngFTZk?Hp7X_dv?8n
zO(oya(7@h}`;#l-oV1i9>tmRI^b!vx!5j;3cP_!<Jjo5oaCyZ3-g%gRfrl;xcHz93
zF$t>#aE9H4>r=J|kHTG4ipf@Rp^&Y~0IdB<bcYR`D%o4r373x3CyT*Uk<!skaE0yf
z?Go@~djt1cI85uW+y?m7>ms!>Sdnfdp8{Skw+bzSsS22FhHDX@q`Hsiz$XHx2S(sV
zU1k60a4+|@{C3!UOR+&Z{N#v*YzJ(A-+d?*R=dpir~$SvKNk=UXO34tXomNnl3}?6
zGuVVv)xsrj@`rE21qr6Xb#Tq12F(rlfWol(OE@+AUAG^6`D1!-AzZ8;d)gO%vcW|w
z8-D4rOZft<QY&1Q1CRUHS$n`9)w%Z*VFSA3lBeNEGx(h=_{ZauvNrHLpQ3epxb7R>
zhGTHUU8g_?_?~Z{kSXkJGG=B9yZ8tmw}i)&m3oZfe#`iGCh+OTf@3>i`m*Mw6Yw(*
z>OLO$thT}5Be3;rrJCUy#P5H*TXf;yp(C1~Vb(2Twg+MU;>4_ecwT3Vj0WtGt|k5v
zPEKN~QG@m0|Bc1gQ}d?b%3TF`_lHEbE|}^2s-QgFyU{$b3D(|I6Uz-h9phPPgTuPt
zi*Ug&bGjVsVSS0LceF6wzA5`g*l@hYaucj@G_9oy{x+B|zWx>YTRvff8aR8ft>Pc7
zt~5|o0-rOiy1fWf@LDO9!9SzE@Gijb6_`^B;6b0>*(vzQ-iRHAFzvW7=LF2eIXj;Y
zYwnZKor62QFL|ZG4-YL1Pr}9qzrruUg<r;x&%?KWUt#cupB_>V_z4Tyej0IrovH<L
zmSDzxcBf9knG(oZ!72G$T2H_uc2b^ea5URJBMX?#*o=zYztWU;$q~4*gU(?yp0^}e
zrQ8r!IW6{^0cN-`EvyX}zg!dA3a4k<J>3u68mbzy!tIoe0lVS+%NzYkeTulNuFJr`
zKkrNDfc2NsyLZCU)0CY%;WKfp$9KSb{X3j?z@=RERa;^1)PYzbm}2kl{cNx)>w<_N
zY%B0Bn;x!-%QlyU-`5|Orh|9gu9*~v_im+1*Z|AE_vR+;J-FvI_j)znKS(5N%EAgJ
zoj+$_>BD-SD)5Ue`Sa5-UGrTYW|-o<ap<oq><3RY>2tz;z16hy@Y|m`@#OiwHC}qz
z4%2+R;X((uCQ!<Cz#>@=9;83mzs%i!AJ*1Bs!8hK==|<SaWFfbTHz1)WhOt50~~i@
zf5<o3VPjH)Bb+p{lr;(mJeoLXM#|Hv0|sDbr;{^B;V45VmXB~!7?p(~%o*<WxdVRa
zak2L>+*hMT+YXnwlx3;Gz2@d0>fvXlLgE_m-S4$-Z{hvX4Y7)_@X~;K1)Q-i#ik4^
z|E+Q?g}+;$9~XiTI1Vcoz=p~l&LS{dL5KAVc<m3X8V4MA;kQ&K?5^Qf$_f9Y{eAQa
z9OwA_&PI5Sk54!e=4D^sOba(`kUpFM*QThB{;ni{-)y_{F6>$sZvO`s?w-oO19zPe
zZutpIRqeVS3RA~;>d(O<XSAQ+fLVhxca6YFIe~uuu&3~J(q}k&frHr(X1jco_5+;%
z(rn}cOuwi8=12J2-nonC;f!$GxeoY<x2(<?Smn$^k1qK6nagg@a6x&Kb`3neTCRQ)
z4%xJ!wiZ6?;@n{kpP`SJDueC3bJLH)UoO1MDu>hgZIsO5x861!g|PAS%uNRHx7D!N
zBG~AG)uTgj%i50hY`Em%Q#UR6e!6x*F6`Q9zd;kep3(n31CBeG-=PdIIj=Zn!iz;7
zPD=3fncMG^;cq$BO42avq31@a@SvyuNeS4MqD|lqe5g8IMgab6FqRe#A81xF=Y<8%
zY`h!<i+RP1Zi9t)ZCktwKNTotV1-}o_(FFao~#i6L<_r#PKTPq4*!i(Z-kB1H`*M8
z84@ge|BYgPcu7B?3x9dXyS4(Kl;Y1*f~U76x6i|R%zV-+@RseN4s-B@jI0MT@XY6p
ziW9JWMh3@j*g;~k;X8bFugo=3n9c3-!(n*G3Bh$SxMR^(dI-kXN6zrUC-Q%;_rUZL
zN#FTl3%~K0ZaAr0(3Bgl$oFt+fhl=d-t)jqW$w#Oa7BKcDjTfkzSL9$(}@MV-U>f|
zwQ{l=p0A`7V1&CzZ_1Xyg2%q5ZidgDyHocH)|_@>pn<Qk?~Ho^JErJ_Z-gU~3{10N
zBmee>={LyF`hFF74D(E69Q*+b2e2BZ!UHkScs{}R3-We6fUmmwCJe!*E0a3+;nV(p
z=UQQruxQTP@O0I|={7jG>G0nWSS+P#!xLEa5KUVEY`*74U<S-BDu2o!KJG{{kqBRX
zok8OU|9j&5H3iNp987S9rFQ-{iicC{<IkRgv+A;19>58d-RpL+kcO~wG<@sM-3|-5
zma?z#E?m}<!fyu8bC#X-fZw{EUC@Vbe{~%6gbnu^=O2XEbDMa~;Z+vl>l$#W;<*G1
z_{Et{7iIYG>gyaS__9o?sto+C|EPovZ0gvzBo4>Qyl`cQqih=+`QgTT?QsscdyC9T
zKKSKSu_+VG8ZIEq1<R%BzGsFXykD{4fCZDqGS({4KT{UPnczQ_h5Q>(t|5QAk`Z2s
z7recM^4I>3cd224{^#_|@IK=KAu2d3kIQ=&uG>1WwDJY>9rL64IXLv9S<!F!Uf$^L
ze)z1rP3RB!PUFcJAK>Lx=e#NS-ICIc2AIj{a_}g;Hz1p$2~K{<qd5$_J5Ouo!7F@9
zTl(OD|E%8R!-mV&d%NLCYU!9%xUD~6a|<k$AJ38whbVBSH^CoD)_oJ;op)5dYT%h0
zj(;A)(jnY(Z(#dZ50tOLOI!7*i(w`8rNUs?n@zJOAC^iHUT}d=_Fs;D27ek3Jnss3
z`Sw=)2P^M6c<=;q{MP7XIPTknT1&XQzfmv=UT|BLGKJ?n>6c>R?<$9~%;1{Yy2u!~
zq4GJq0n9}cLForyo4s=T2<);uVDciY_Q)hn5N5n9w#^^@7`9bV0KTE{UhD#F?~u;;
zy&U@uQ9E;Axb>gYoiVsbuZR5-%vb5x)(ppJTO0_4jrXaWG{Ix)Z4~7A7E9CUJa|}3
zTP7H;s$yk(0Us4+ue%CARy-H*A3QY`G8YC9?-1XR0pH>k<hcoR1dn#dz&y>7dQtGH
z<V5p(unEtJPq*OW+soDAaCm4L{eAeT<O}UEc#&=1I}TQjH2D|}i$B@EmJ4$znxDD_
zk6!zDF9!~rDsH(Br-~<e_rm$!Z%_Ecsyv72d*JitqIDNxn!S&dKf#RuULU*wkL78%
z48Y&_Z_hsio8P;;O#0WH>oa*5`1<4s|7V!{yeF+WJX7+$j{^O9PyN*`Ch$O;(E-xG
zpQLj?JpqSJMtd^AnRjBuE#MCIe*<KETym4FvV#v9Y`QB2y9JFlTEbE{BZVYkVb{Y7
zrttpP^`;8&Y1jN>V>tVY-gi0pU<nVO9&G0pxOFeguIB&vAZ%Xn@97?x_2;+E8gTAu
z>0T}P(!zmgHCR<X%T*JOWq7e75AS*28?Oh)#Lx!F!FH?0lDcp=lh=1KxP(6Ora4@;
zz%wlj>s%0<C-Ler`-^Kbu$1eY|9s%xUm7FG@mn&ixA?&~XHM{v^Qq2E)<1$X{z;2T
z!aQ2)Ru5tM(zF->c*fSN=s6r4u@KJ-JJ?hmdIle|aiQD>AN|*JDIZRdy>){F&b_*e
zArB5Zz2WC(SpAEP%4_&`1@C!A`1;hPmSQ-~;{E^?{E{hn`3-z&cYzHhJe5>`y8<qf
z6=_&5!}k$_TT0);$8Krr|ACE|O-IRmWkVye>pPtB!HA_9ZoRLSHU`W6VQ;O6<GIpC
znqkTonw2(qIJ)Rm6a1heoWBJQeV3wK0&`yWJVNHntc&?2uV5P~MaK7VQw+;;5}Yv0
zw5K2L5a#tugwN~VwI}oKZ*F?yNH}8FKI#)Z`h}x29A4u5Qv4B)r=rNb0&mECHu?oV
zzkxyQGQ1^4gmDDUJ-qnO3EsK&o60!s7xXvC5k9Xg(E1HF96dj21$zY!F8_dOA9%Z2
z!W&gMqh{cLwo|<(F!k={(nUBoe#*ia9`d9*vH;iB+SlsBA0-O>{=(-2PwE_mDd)d4
zufjP@JulRWJ?^SeVLfAN*tS~@4lJvCPeIl{nmUQ{aL9_wKRWmX#onEA@X6MMyJS7o
zccLIn4EAhOdBXzVOnO2u3TKI&Hf4q-EVp~_f?Fpy1aZP6ybMb_-~)`7nOot&t*gz9
za7EE%*LL^_%lE?!FhwA{3lFTTYx|lKj-N=4CF?iwdR<itc;Cc)Ia$A5%vE8YEyezH
zulIx~?0ahG-5;<C<6Bl?SnM*h^C$R=wuS~-A0D@x|2_bBH5aak!BnkQA~moRGoOeY
zd^Sn#Srwc>TYFg&&ZpgBmJGl5+xbKRcDV4jI}!d9b5KPdw)gki7YpnB{lP%io0)d8
z758C!LB9ra{qER5fBoS6a;e0fFrUH}zW|u3EuoG)--VjLN8I3`GSdfa@NgSTn>%dv
zj{X>_zZW`gn~%a=W38f_;QgC@Bagvhi%DaY@YTHcO?%<X2hNs|_2v=zem!+qcV!{@
z7i?QVXR`&q@36I*w72Ionqd~0rtjsiKk%0uV=vcBFu#j5?IP{HJ%31X4Hn|sR=AGx
zz5%1uMfjPd*a*44ZlpH<0$lOL%Zsdkskw`8O~G`2S5ukbJi|<;Nx09aQDHOezHgh)
zXLxSQdpma6d~xIIFdY1VW05>Bo8c9wKG<!6laI8&c8J6G9+=A`?GP7Sntiam4$dh^
z@aBW1cw{tcVV<s>dQyKp5ewf_VdlSe56Ste&FGxdVYa7hQ{?&s-0zsL!siAAs%T(}
zAKkaF!3BR*Rmpn&yPhMX5v=xj&54wsNwbVHgo_?}ydux9p~9#l4yRn^A0^NKU5uhs
z6uuuez(9^?5BU(q34b~qqD-zwm)*?50ecoEERgYWhJwZT?`y=zP$gcnpGaZe(76Iz
z-n&~!+ILpVO>G{I7Zn>J<0Gca;>|34J$HbX)YqT<-7&-P2`N{F9mH37*oR=fr_~MQ
z`5A@6f_mT^lllu}d<1%&qv(bsrc=WB;R`_nXPaTUd4WQ4*!u9BnMU}y-z7cL|COpG
zEUIBQ?Zu0`;rJ~KA1mRPM|Egr;p3B6v|qvdKEIJyfmJGx))&F~R~Q?}{%c^RMm7g7
zY`FSM1J*QqRFDN*d~Xg_him8Qc07iAS5#l>z%SZ{lGDiXsn>P2;ccCV=@Q`l%QF`Y
z;aj_RMaIMLpUD4zzu5mEYB35n+4n%s4CQ@()|YR?#lHsXO<-Exmd`ifHzs@MPrxZT
zaSqqvi?{u6TEH&`H@5l08(;M1+rb0%tw(%dmJ93$ZQ+g+8l|4Fyt(W7({S873N;Tn
zA?-gJXZYNk3;#L8#`?cy&%y6s$cZ|^T-#;ey1^0jPwrX6E@8g2UhthDyRBAm;^+Ju
z7hwsF&OlQ*gmvkKAKa}JxxoY$pO?_~g)L6}bJc?j$If~L!<jt=(+A<s!^u?F;LX-T
z<{I!C^#|#2c$0NszZxuZP}Te<?DM5OM*_b8?QC!qEV|82MjXzpe8_PdR@gS2zz4q-
zc&BwAPUwi>;e}mp{OXB;Zz!&XaKdWY+!Tp$+J*l%aljX2weLTKJyf|bY=+l^oU77d
zz126r7~r0tw~wa5E5h<8so<R{&x4-956*TEQ@{`6+S#7MBCC4(%de0Rp!=?o2Zz>v
zYhHrih0%58lFt`gDgA`wDtXq5VScLLuV&!AGB(16aEimotwB<L#Mz`AemHiSX#jq7
zFT<w<4m*Epw2_o2W<05e9mJL#8{pncwJKHcu57pVN;pURjY9+6{{5fv8@R;vcjR06
zv-5;d4s5_bUfc>_>c5<s1@AmZY0v`KcF(Xrh96G+@a~4?o36y9!PE1*k~?5~H7A#7
zSkr>4@dI3adS)UD)=`w3>xK1cKE4TnuiaqWJ`5*1+iLp5Qxg1npJ2iHp63@~(S1uF
z$6&iYbIA+v^>g$dU*YQdwzxBJozBOEX?RxV@HQ8i>))gl$(PDruM4(?9Uc@}{DRFq
z_femOU-i{a&%sV2ug)EVH!Fv8uD~G=q-V`w*R|NJKd{%!|11sQ_k72CHz0p^>nZo(
zA$ZUElddFxcT6PapcY(Y!F8YHd)-s18uq~ovb<s&VfO3(a?0?#fgUp^Snle?OGVgW
z@5k?qa8CWHol-DcR>T%|xJS1oMFQ@)ck4ekSZrR0UI0$3SMK0}ZI`kl`QQj8Whau4
zj-(O(y$ueM{&a^QejgQfnG;SB{wTl)f80Rzg$XYH;%g)Z%P^gC*bJZ2Ie$qQE<J0m
z^0yfKjVanRX;}Tm%aRp1@HnNS6kPUDT5uj#td6x+gso16X3WAAbT>lf;F^K}-(gtw
z<mLiZI4Q4d^%Gp|yYfL9R+Mad-vS4h`ciAc`gS`^n_)*~o2tDq^;p#1d{{p0{p11o
zJjKYCJXn8A`4%nsol@`jWccG@Vf90BP`KckB>0HO#$|1|^2z<D*J0su2Z6(I|L|wA
zV0dG#_OKrO(b)8i3v9r5pN_mwu<}ZrbcUImJx&<Fo0M+GYQs65(lX@wiu!xl4#J0o
zCC$nGip`0SE5IFrbCM+g>v*x>SqWa;`nyUAw%KLeAqB5~t%xJ_S6=<+hz#si{7#(I
zpN+dmsW6P(PVaU&y{_Pu7~Iq7?n>HovO<KP54Po};vo6*AIlcI1Yyk`yPlJL@mI~3
za2`0(_^JfyucvanXn5hfd!AMPgju7<JUC&Ia5}9%*iPShiX1O)x38xM9%$%3#s;5n
zNj^^Uw^SWc9pw0+yPqe^$njGNdzs-2A)EF;g1K`<71`lcR;%6wI3)jW3M0HXw$Pl!
z+keeb+^ldt6Z>=!?B}+4gBCU&_%GfA{yH3bjRCfEWsxNFfkWH$6eax1;YptjTqEp0
zP6O}T#OY=YA9i?e`mYGz*K7Wwb(DPm0bR!$ocheN*A%wzIlK2a95g1Htq&VXq?Rnf
zvuhcehv34~6oNnDj)F@ZTJYK@+4Naha?|qjeXtexUB+>kRlema$&aq*l|@XzM{3O2
z$^3kHhI?@Y-sdbfB?X&3(Y*KtJ|SBiBnc;tB!Bt<A2W<PCJ0l%uCy9}wM}>@$@<~o
z!uI-3*ko*_k{jljR?+T;Me4;T$a=+zV{Th5T%5&FN!Bxc{+r_K;Hc1NW=!y?>nVzI
zSZVB*7+EjAo4XiP0XMG7yrG8shg&BK;aeT-v1ETD6Z-LVF>K#+x?&j?VZWu80YCj~
z7DMu-DiSfJ|G`5Ol%lh+K=Y(vGOQau_mAXD3n*sNQ{e6S8TZKkDLd`J=6E=}A<l*5
zOH2P~Mm~VKC5-<K!Zi=#7Vp5_r3bpm{_i-;or`yg%_&{FV6VK<PhoJG?H_frzYNps
zvx<OqmCHLD;i_@*`fIS=tHP%wUuvJmrF|XtXbe!Vf(x|Va(&^->MLwy|NDjexTHU<
z&!qd5?0*f)GUG17J%QSRxiEdvt*zd0FU>Z#9QeVpPl0Z5@(<35C-96%#b0-rDQ`A_
z<WnE9Y(DJ-Z)5#sM)vQa2IF6y$>-1H1w4RPG(t*_!J^0i%S?sMPiO5t3b(0VS4)9i
zcC2I=z;)9XoipK_#_gi|u<Qw=)eKmC^z1z?*yg*y5pusD+5d~vfR9uD87+i8w100<
zf{QMu+qc5cjATQ1!`mF)ev|szpdCCX3R~3(>XZ6*@VdV!1pC{M50U-xNZ`2b4!A!o
zMs5oJWi{=<4L9@}zng$#{WRNH;kY2)Inw?neQL%maKy2J5YqmqE$^0Yf*m`~eb|8h
zWHTN3h8osCE^v;l-xF_ii~cP{e;4~6PuB1KrEj0Fz~)K`lB7RI74xvq!+h=L$4P%3
z^Q4QPg*6;EO)<iZ?`<i@;l`S(tz<nO%%p$)8@zeM{TUm)ts`~j6KqAz-^BwL#Dsbb
z!Y$8QPLuIcQ!@0S3$EENRz}v}X<TWa-ovivTaSprpN}r<Ho$CE-afnG-Sgdz_3*z$
zPA0Pc{uV8z@CJV2Xl<_voB#JgxeT72U0NjT?Sq!`=>_mXmBtI^@OIS)BDpZ*Bg;+4
zVTPh#cQfGI+D~#W!F$AJ9;Cqh86x|=;lJArsN!Lbt7`W{;3ToUjj?b*bcxsvI9rbS
zd?XyDQ0*TJFHJjog~1UE%B*DlXvXk%D2Uiz&hasP@*=|*fA~a4`X91B+??rV=mk^k
z;O2i0ztp2|y8s{ZSkljg^F&+I?O}lm7Vh_Od%`nuOZY=_VF+1YmG)^@oq`n_@o$;o
z1nwp+a{Sh@2JQh^$HKAi4173ab39r96s`1IIl<N0wUmpndAH}BJ8TrbDTutk)o7^j
zCdYR#>9CRYi5<1*h#kCHm)V)jUpoWlzu3S7PP!{({qd^J=I}AtoBuxn0eI$0MVlGC
zw`t%NS%0uei|sLh(+m|qll8|3>yXkzuv37Gw<sLpJtwFIKYUxBOy0MSit7Kj4?Yz%
zBPRp%WfZe0!)I@+S(Ehy%O{3=im=vu*IBY287RN<R}$uZQpiQ#?>qW51xUbjo+CNr
z{eEe=@;E;{q~)@KtPftYzMtF$+rPOTOXmMbSB+zwuw{93g&9mi71GNNQ`h`3A>U6p
zUHMCM^Zz)y?|81hKMvqu*{Mha5wc4{Dl;pUksTqK*)uDV(y%HD*^-?SDtl%}vV|g*
znItKrGWxyF@6YGsoX_WT?>*<9@jmAOe+&}zH-T>rAE{@6OSY>rlKlvmSF`q0!WUEg
zr7Yo-DHC}V@Qsp$H|B8D9s|}tg@`ZGv@DYS5yw;`6P97`M`K~Ou(l`#)f~LJdQ+h*
z9Qa;3XckVG;y>vEv+_Tg8;5xs)ZD${{|r95kHMGj_{Nj{7z0+d$9v!ugXlUx_)_c7
z<}UccLXN>Dxa5wtcniGgdC#LTSoKJ?L=!yy->7UT%*ZI3QUzNr{5VhckF4t&a#h0F
z?Q6dy;L{N;VJ~355L%u%c#Gk;jnCn}>8&L(@Z6%AcMg0YgpDp6?y*d|m<8`l+MS#U
ztFSPRCc_I?*qffh-j#yZN$@$2-Nw1FYhO}(6s*y_<9Z?NxAsgc5|*9azVijV!H>T@
z6u$2C*RCFZoTE}11P>hhwNeYemZ{(mfDf{M;%kK+6&tht;XQu+Wv^hiBQje(VKvRn
zjf3zO&STr$;VO&!DgChF-iiP__}=R2ACvH8ZQ<4Pa7vy0%?Y^sv+&oma6KPe-Yond
z2d|R}e9QAcrEl=X)TFn%@H01#%{#FF$UNbYi8{<?ta@oD?3P$Irw1Rruq&Mt-qIZF
zPV(Qlud#(2_HAaPA>UWc!!0QUPci=rHiFl#8fNT;bD6z4EMdc&B5%auk5|<mn8UZ&
z9i$}S#VfB5+LQb-%9gV5_f3g~wy;5Ble9c6TbVF&5&mYCWpx7XEVVZGfjPRqb&&mB
z|7=GWuE5P(I+w|QFYTL;yvg&VEnz>e3%4HRX9$M9s>g~g;i_wCn{L1#e584-VZDIe
z>9^rn1uhLI_-B3}&n=is!mpI<KYRUHyNs0Y&;_ecUNFZhg)}MOTMz3``M`&k{5ulh
zvFz9svY(Kppr<ny?wkC#F%&+yq;B&N9^BDy8V`%d-nAw5$(N(*a1z|<b~!Q+p6+^T
zM)nV8u&^*cg(F|`w`IcTOz%7@f@h{#7s&p{K0Y3yLU@EZ&LST!w~wtR^?i5Yov;$P
zLsw9~0=C-8v{VXzx}Vrv4`16)$5jj8Nf9_*2Xno?ce@U5{S-gl3Ue6VE^380GH^SR
z_sz^cC;SbpsIVdC9ei5(aY-NCIB;XfAWT(yl(!!)Z~gV;6Wm3kbc*ahZMp6){1IL#
zeqToROMmwKSUUy38yVmD1OEQ!bscFB9;Aj`oQGQ_rOuG{V#lu}7qZ{|wndaNNl)e;
z{g0f7>et!ZI0TFH_UnnmeN;V-<o7pF?wk~bPcb-(lJ+8;bt9t`Oxssh&;h@?elq<C
ztS+y+s~NWF=Uq4fE98ysYJjPJnS>mNt3(2V$n$F1EXqyJk44wogyh0%yOj!K;J&Za
zKhxpQk6DHvz%<vmJ<{NvDuQmwFb8AZa6Bv&`#UZZuHQFk8V3*T=hIDv6Sh|*llu7l
z{+CNR@Y7wL9GBsPpQ%!_;9qh~KONz=BegAg@PGb19uBZj!ke>C;WX8TVGG!(==#kf
zSaMU3DS3a4=Hs3`hrPMCAJl>^|Elzs!y7rcUz~ysnT`IGz%eFPA+oS0{py~VutbCt
ztqknnO<7FN+bvFS@(_o)Bho)K!MqvFKSkk%*nG+cIJVc|6(^jgq_V#a9&9u^xf|BG
zuKKbS4o~>|d^=qBb8xB~KF{=5d>d?C^WLuuo={Cr-U#1Wu*n#N&5p-&(8Hlrwyker
z4bczt%P&x$g}%&xfTyhcFD$`QE|WKhVci{<hG*fkXRPza;iyhm({J#Ak!kN|SUa~!
zd<a$%?^>CL%O5;?{*HWp%d0(8a7M;#a0^WFR$P4!R_gdb^9sHiF5vzRHeBZ&E{02#
zL*o}<e#@<<MR3z0AKf4Dd5^zIiSQ1JwoAX^UoR)v6JW+8H4hiz&TQfN5P0<meajl0
zx_|qHU|4DWd-f9SMW+;e7XG$JpmQDGG$KS}0)H+N4=3MWd)Y&b3ikfPZSw^_oqyvQ
zHT))4_Vxrkdb2iY;W_$WL2+yHe7^C$p<aSZEL4_;;5a)6_gVN1okTV%pAS_Y?myrJ
zJ#FdN@U+I3p(%LWL3L|AEKITK>@;jV`sipeT>I5+S28>&P``uJzj6`l#0Ri8W9uTR
zpT@WK3q0T;zQy(j@F2f}s26;!RNRu(fA#<R5}e>y_TgLaz>De+5?tXI4857R;Moge
zRJL$~Xc)C4d|ohu(iyJ3_c7icRz1S$Y7NIx%BUH^yVG8{ko?cR5{3=o^i{>dbMVlG
zmLe^9PL9gR9DW=7*Hs;6x5$k<4tH#?jn#vn9r?<l0t-0auGWSZgs5f@!lHvGC&>BD
zL`g*#ahU66t}priG3WLHA(;6UYl|(c>>xA951+U4Ico!36}2euhILj2Zn(gL>3{0k
z;TfLmJDuT9oluc&@W&e>@?NlYV{zVAxb1Low+Eciufj?XzdpDBj~`6a<r+^5`^dcK
z@`X#B!(Eo1q5ssoc#@n?)k`UwU4T6|^124VSI_s>kHI^(mBs|Yr#hCEM`0&nhP^l8
z5SNg=cd+P6f)089N6+Pm48n^kGh^iW|23D2?}R@d_GXBNliwP!cEId5jVY1vsO;qR
zCip;uYI6eYF8Lp2BRm}tV;m35Qbf8`!uv9|UnA{V)%8cS<*>uF+4hGp<1;Cv=kV~`
zL0NJhH@H+|umFBA<X}bGL(5yPc`5MIviD(6;eD^Kh&+HLefR9ng^S#n;_t)39N{X3
zu>axRtkH0;UH1TK-)_qnT)zb$?UnpT+Bf}MWgEg^swbDC%HS_c>Mnus$ng8}TDZ7H
zXZ8xLt*}dzw0B+cV`qF|o9?cpPFR9t{ER0|H%%|v0gG(#t#^b^s+t@2!><cHlpWwl
zGcnVB@X0lrJPTNgd6J2|f4>i{?>C3fD(%W7@88Pjs5nDdNz|ro3~qWD%whnGevLI7
zg*BhCUq1!AJsb}D3Ljix*q{N6Ofs;M_DaD%%~=_KV}&&|_~gL|Y?wj)JAA2^v{&!w
z`OZke)|ZO@F2fWin+J}-?*~T0N&B)ZCPV1}tT48{n6xi0PGNQX;Ro$<s%tRqM(+K5
zuv4mw8#T^rhuUs<$^)0|jNU*6KeA8QxeNaFtY+^f*g(TKmKA=%LZd?uSG~%1qJ?*5
z2wmI?Q;uDqp@!q5)i*N1C(rFNTq{6-GHEBy3OBF+e7gd#S%oz2gu{n#DgJ`Z0v^tA
z!s=8Owe#@TpsFjo;rQdf_f5l{cAZ)LaO|(vCsVNN>a-LeY#DF0<0Je&YuS81oc=~E
z<^z0JZEx^i_-urg;~Us)TqI8%)?E?#`Wn9aOGQx(mS%l*x*i@iP_dJOeHrfd;h(N4
z?wdFIdjy`mEu>He3$p9)QGk7@XKPB}2g)`@M`5e!;Jx|qkwYd!$KjLHCm%nB$EO@z
zRp3Ig(QTP9XPR-$DR{o*VRSl7_t{oR10J!ISx<l`Ep@f^;Y+Ry0rBvg!!ZX)eyz0M
zQ7-WB(P~=qeNn8k+uY!2_ufQu{{G8!Z-6cA9l7o)16N<)x^4%no?)YvhRgLH+ndAV
zGbcWg``xp7^os>NIc@7H3cnii)i;8zhJUV;^2nN@?K6e_YPh0yz%r+k<xj)M>U_?U
z`tDX>sz5$(SKRQu2ev#i^Y{$RJMpQMv=_xIiI1(}Bt>sN(w@-KGAlU4X#){!q`i4K
zvsgp!XTFBpk+etJCN8Ia;JMw0kCFCjbCYJ@MVL9Vv4FH^oN-MKfiOi`ZzyT+HiV{6
zUnBWTEEcc8?$x`l-h$h+96NkqpF<1lx8bW|i!!ABRBm^^e;>X)w|<ed_x{uuwk5-*
z(IE_^zqmKQ5D*P(ONNafhnvld*GT^R+gN;6;BIv(`#bP$VRl_PIRE{xsc?9@SlL$^
z9x`99x(r`n)zlS-rOfl>uE09|*L)AaPgL@^lKZv05v5Dchu$kRi*$wg+73?e!SB{S
ztk}RA-;URCz?UMz{7LyGYer45!E!x8I)*THV?!K0d?&kI+ZZ-1^c1Fp$7a<kbYT92
z5mf)dHDi;~dhl`MWAW=4KkwORm8k~rS^p8z1oMka>>=ejwZgs73_G?~m5}n@<Y#D<
z4bN|jDzbvZ0(~3F`J-fhPIV`EMeT+UIX^@tFt19k{|fcPQ8Hioed@{xDZj@C2`+)K
zQTzi_f4Fz<$-8TCRPg?vH{eO_@beC^qKS}uC>+&tzsnIWVl1bQgd4p)uA9KSE@@Jc
z=ii*;vC|lSYF_C|$}?VHF-;K`O!obD7iMtQJgfjSaE=>>z&#oJrw+jS)TazceK`GE
z*<S>{+gJRO)R&ljhfeduv%RD8<a+8uwZHJfzUdl|{ot);$LiSOf(B0^Ql6u~tPOU-
zVUa^op0KjK$pL0Kxo>@|H~fqtu$~F-NVB<2>bF3fZxS6`O>=XFl(%qKhA1t3vUl2s
zly5oJLppL^hr@(&g1oO<N}b7TFol4<wi)ap(W*t}--;UHnwIcrz=p9IIQ9IGQu2OY
z5LrCY25)~$T}1NR9#j}2@c`998%|O`y!Hw!Jci#@AKpdE^ZS>e-bXM^Zq!YE__mOf
zWC)x`y*rT9pYZhlwjg+Z*yk&$Ki?8x8j^Snd*u&X19<Bn$r&g3+yVS|Ex5pT?}M{&
z-L=6EZTNQ26LAtR>QX)+eG=AoNEuUu8?HS)q7Dy@3i*=tsjPedr76K*(>eE%^(B!?
z=M)u~bKi>^vcB|-<t3dQoU-kSJ6W&Wd4P>Z0ltuPf|{InXc%;GKLQ6=DwdM-6%p^B
zyGX<H=O#7C`k{F5e}iIh`Thw$2AJ;C1H*%`Ce6Kadf0Gqrgkq}p&l7U0iUG3sUQq{
zoK+Ge>z%Uyx*qeuVLOihN7h3%bj}O$!6xVa-d}=ePd<xchq=T5bNvqQs+8Zl8>Ze=
zxnUM|coF8m9S(TjFf<NVoZR+z2h4Cqg?bcbn#%5=f@9tEM@ang>$iQHH1NS{HqSx$
z=Y7x8wS1HxpYSOX|6H#6dH5eJ8`0oR)}y<tuWkGeM=1?yk@ad<!<EoE`1!fKu?AS7
zK<U>c+#LL>suE^)EV=LnZhM!aTLC|;Um5xcXZTj`Bj*=#A3B+QhJ!c6za;DNtIGwA
zgD^i!X*^l4Ke4>)*n9Z%K>YvDGni_d<#oe{?!5mPi}ZuG0#Ev2CX*(w7&v&7{q{HT
zHfef65<kAm$hox>rr*9+c>`vrGV^bSA3v?>A?saqFIg^-^t`shqhvkI{?`x<`F+;R
z&vVD%xr5r2LvV>tm&tMXq5t-TF?fM{e$!!?*Tpx6-0!YO?=BvJIbX{QljotiV_fF|
zydduM_y=sn|GH8XuAdiI_yf0?cHS3+n@3El|H99gUi=e+?I?KkDN!E9anGN#!q>~~
zwMqFbk4JEj_`UrPv575ks8;CWR@k>v%bE#};kULR@qY;emOrepk<l4x2G}}F{NgTH
zs9ZFYtRH+&`@4x3Zq(UiNY=L`x%ub?;QI3;wPgR%2J!DH2jKYD<^-~TkJ)^UgVg5}
zcCl2;aDLCL7gDfF%%u-x|6gBFub2#+RCPj?tbeGOrZg+VRfT+e$o@g!``Iew{VF*>
zcblxAl(%1aPu|}j%5$k?{pnGLb_aRCKPJc?A^Z1Pl>?<TVZMpcsciT!tKK2f9t?hp
z(9414Kk&RJ?N8K0Q(>}x<R(d@Y66$=(Zr^~0cHaqNPm&=w8J$4&Ny0n_B_mA>HUuE
zAN6|`I#1fi{hOp;M8OflHg2T<V9Wf#aUT|Am82&9y<$z$;%)c<1=9^*IOO9|i*Pte
zXOxw+->vmaQe?mX<(ksi>+pG(*o<Jf$o<xS(mznxuAcUR8}{xKihy@C#Js!+@BFb=
z9Sb`TD#yFQO0q4o@o-(uyA2oMbLW%0Q{jCNt_|74=7+4c)8W!hJ5P}F0m`+K6Hj1~
zqB2f$K7eD#iq%v2+f(&0Yq*87>vs|Cy!(sgS=jx<U7r&8%)^UsOyMsFY&N}wKMXQv
zoraCV_uQ(5XU38l4dEoEWv*7(V^Z{sCfv>U?7?d|#jiq78~!L8EYS-mKkuVdfKPw?
zcAy^~TQ+i4gxxnbHjco}|Jibh!6(evYd^!=|BQu+!=4X*8GMEPW6xXdg*%HAdS^&}
zmQQcU`GSTs9u5m|*%?{d4X|Ra_XjdQe@@?<{2#nII^pCmI7sp7I@zx;P+4^J4=j3+
z+JWq^mWq$=rNDTfLE1~{9lVsmq)Q3=b8-!k{rq`5#4G<Ie@ybdf=)Q)*kh?x_{`QU
z_cquspXTByJW|B1)&MId`!0;ZgAGA#6>uVz;Du*!=T?@?7w|yJz3<QAJ2FGkWdHuf
zZ@ET~;rf5B%w+#Q<zuFPQeLv=QaO)chUI;Vq&&TSt&QVg>Cj1;EI57Q@EqB%9?JhO
zGZ`+BZhsXHi~Tj=Nr7*D$UH~(x6jA9+=+p6xm~Boetq3#L#jkr=&@b^*`Kc`;p|Gr
zFZMb&4_Lv5A@lZR{1P~Mq0s`aW~S~X_0zIC%UcI_(erI5^>dSDGJ`gJQskCoFkEEU
zQzZ{SHkuI+gJ)QK^p3)mH&&9!_;+#4RroMGz{k%<>VJNlXPpFGqJ8MbC0J$tnFlZY
zJoi$-W%$x$4IK~6ArLY}#xD~CNm2ChVn@3fdB4)W_SDe8cVCPhB;(DQKA*Vt&xo%C
z%@^3i=TEWfkHXfX{=cixUPh$S?tc$wZn)@O11}n>)(^t+tCv0&!>N2SNnNn`Pj}N&
zc!4=kyc2f+=FyxF^UK(c)xc-w^=hBPhwjoaRl%!A^zWy_&1(#jjj-QSTb76LpL&gZ
zB>!hk+n1N&tpx@SCGg~S9l0y;(D>7TMevDGt!!`jl4|+jQ+TU~1n)(dqG*R(F3dYA
z7VZiQ-sMxxfGdA8ZFGlA#HPJc;ofli5i^+1WL+~JK95G*0``Bn;1~hR=T|E7!E*79
zk+HB7^<)DNJSy09_$E9rdYQj45AgtILB`AQ)e+V7B3QCWRPGX-k#x`}1FruTx8nlr
zQ}yR(CM?Xu^VAK#=QV4Z3=8$#39^GPloh;t09VR!aM;2+7t)W#z`gqyI}BjDZEQ#5
z;r{e+o73<T`^HCi;TF+HnZmHFr0vc)nETesW)b*pn(xzx@HvgTS`N5iuqZ1XE<VG!
zkCWs#Y>~}{NA#U3cf$XDvM75B-}+MO%mUZH^wKJZ;|ds0Fv7pv>Dx-+yKjsNnBYH*
zoR%-)%VxQubZ}yN!G~J7g7W7)J=}Yu(X$o4VWH4Q0e?QH_v1Azx~ug86?~54GRH7%
z;I#ST>L<jj?P(J}kk4P$`LqUCT;~v-gbR}HmM_AG^fPm(U=^t@o@KbWvs~#1yyKDb
z+ew&7vqt6@d}8sk{1@1BxUXvk=2Cse@(I=p)74yqT{yo4eulsM*^g19JU7biG<gSe
zKK*P?3%ew0G`xpb{{3ELgxjurCHKId#jYM(VHt-<)P3+Br(n8WumMNgNE@u1_4_6}
z$$x9*WILQy&BRXXPlur7-zwO0^Ve;HaPmn@>l!#pit>pl98p^K>H)kG6r6MzKAG|L
z>0P+e$Fk-lu2;aDH#h`7xA;uvGc0S&TyzuutA1fi7hHWwH~cazDpz@{8>Z{h;`4`x
z6%!X);B@<YYaXx+)>p~%PyP@q><;TOC#jUf?;1y_>|y<c_q7%9yzF|bH5@SDww?-W
zsp@2$g)_My`;q#i%*Fmo3%<BpPr?A+6qe0)2Ck>$D%FR%&lE2x!7~vhUwfXS{`XO{
ztHZ0AVXob<+)_ZFJiI|{U-cdM+xh&z_?uI;mmjPv-i9B!CFUH0In&Zp*<tmOr0e@(
zJ^3b%-SE3@CR_O6h)?lx)43S`r7ImG>8Un;>|fybzwWf{gUf%N4EhKMX}QfGgpaN9
z(~rRVLS>=iu*&Q&kGJqq?U;ON_@sZwQZH=qeCW6oEZUxI(FO-(7CI@yg&#e~Tj7a_
z<qZn()o5j{I=G}DNlP2fjhQg0fm=?!o6v+C&lbNdhA;SKF&M%g8rO~$!BY=ErJsh~
zJ$3VP;p)RK-_OI0Vk1R4@cQQTAoBdp9Sb;9;eCEd9HhKY#3hI%!W<^`h1cOm6_>b3
z*hEb9Ulc4_{5mB9KGmQd8wqdren=M#k9Ze+PJ{Qx%`)DACn{TgQ(-%YhD(01^9#?E
z99Vw({F*P!e(m<*N3i{FSvz-l`Iy+*0{F+CcVAuM(@DpF=D}2D1*dJ{h_g42lKNbg
z^69KKe84uUkJNYRlVwdNB;8v0ZzFtRuZEg2{9{QnvH>2F;4RdFpVhXNkoTuM@x>8s
z`2Fx(&DXFX?d{YP@S4YYPxAhK`ni+uIK0f_ys;bRubT^(gKzjPijwy?Q`~o}EPOiW
zZ}R}$Z>j5l5LO?!^6ewcb*6t^4E`N{?ZybKG+kgX1ixp~FW^FZME~o=O%6DBvm5Ik
zxM<jJ7e726-V-VfA4$2C$xUp&GA{#12*%6og*DrGe|y3QxB|O5;W&X$5gzbnM_bvQ
z@R!r-MSgJWp5&VCu&*SQ2I(K3bX*tO1alm8aK8rIF%;)+gmvuSJ-7mgzrTL<&l9W%
z%-;P%`lIIP4?#;Xg|qV2aPoQErny<Tuq`e#2EKi8*5e!eu=k|wefWai+u<>|=wF;g
zGHhA)$9xo~i#)!Z2&-z3w!VXJgx%vH{i7Z~rRE@fGE=rN4VLBnR?-RYcepnA7&gB|
zFVg|rZr<mX1FQ7?%xHqkQylL<gF}lp2{yv+Z<vG&VD}44_bTDT`%dYU!h`*rwpYMM
zmhT6U{`+^+r>Pv+^VF+!G9HkyTyT5@H_kXnSHdpQBYi3Gwasy64RBZC_cIS*+ar>T
zb?`>jcXjvSM||eHUc<?=6DrZLz`*LW7WnO0SN<({Hj=BKj8BrbycZ9H89OSR$@rw(
zwkatPwlo-w9DqA^wsBsC_p@IR>W8ViOG16%EpB0&Bd|10IfFMGQo}Vq47>4Uc{{_a
zBM0dx;L+iX-;U(-Wz7%A;GJjhSy{nSS$&N&a7W_p2@6<|&i3qAc-_xe+X()^;gj_j
zzWdJFzyNMKL?QPF_IRWF@)Yc8N@+=f@tXdOlClQ8fBp9IKcq`4iak|^{eOmX&>{W&
zIESbbyor;skc{utlNb`D;Qv0-3~qtnG%m19!fy9(xo(D^eHaTmK=ShhMDKvZ?zGa0
zz}A-Qd$+^RwB;Ura9-t%76+Uyo3zLS|G4Qmu?xP*dfR*#Jd>-pk&Hig^*D^O!aV;v
zQun~?OeUw8;Ey5EU&Y}R>rHx_VV8UK*Tmq%#cP#R@I~KW*BxNWGj7^{ALBf}V*EEp
zm`d!@#0I2`ZD2in12%sb?y`<_i|p3MoA3eM7)n~C(+O0j6~pVZYTHP9MDS0^BKT<1
ziGW3TpQ>gyIX}Eu_?2oNX1e7kN9G^@_@-UIz<-9<f`;H<HM5=*@IW6Q$9s55dG^CF
z%te`G^A)a$936cJZ+u?4@&zsu8aveuKds<9{s*?&->TaImvSl$EyHK~UspE4&uVA?
z{ew@cO363E+6C0H>+qS=GC7s-_uT~*G?;I#X=LuJfQ8~3b*N#1itPK(;p%*b#2xU9
zFt>z!`1r^!vF-5CMo-FY_-IJkX%4t^v^yvher(bk$OikFyfco5X;<yC_Q0GDhleBK
zBg*|RS>Olx>h%WjRaes_M%ce~THy@rdevKe3(P$A^|2Pb%)P#eT;F&8AVD3tgZ^A6
z1>72S)8+{Ly=CqRx&P16tYeaJ{@Z($3ovUH)9oFwN3i%uavnUs;{hED{Ar`5H+i0E
zR*4>4;4flSx})%+1fCy^u)-IqsZa1V5l$0Yn5Fi5N*CN-%5AU_cDhn~h|DJ=l6JkM
zfRBmUF};G-=kCi<!j>1l%QeFH?1Pzp<{<v%oWxoM$BC|l|AMCqS}&0E;PFof4tK-Z
z$u~90`DBxz<AptNXo|33F3b`p7E%YN_kA<SfR*0HQ#HW%B~N@ygEwJ%Q32D9(YGYP
z4yiw8D&Ya=mIZSDd5m`8<r6sDGOCN5pDvs^bo43g9lC5w=9^Z(1s-L<Sw9<;gJ7@!
z0{ODwKa`1X<h*uuo8|9l_-3iIh97+TWU+S)ykSP$_agkl`@Y&ucw$QEv>V)iezZ9V
zwz5wB>H=?g+a(qN7rgavwt>CAu;pKYAKdtDdLG_lOv~y68#?t%nZiByG-58o`5H!@
zCh#zY)IV4FU5-?)9=vew;$?R@rt+ndF6_~1HE9PQiAdkA27lImVC?{F_8urY3HQ~7
zv|GTo?Az}tz?rty>Q-=HRF(jl?{0pVU1SV9>V$7N0!yV2h@XW|Y^V|?^V<W`In?T~
z68#efVR(m6?{y8h_q$6pncrr;kX~nj+ke=X?t@bkn6K@G9YgcR1>srck<--h)te9L
zNPDAgQ8YjaPt1NkECPFq2Il^Jg!gUywK17r%ihpGFb~^uF@zk15BPFz_ym7poOvPx
zTW<Jqa|GrPf9*=Hm#-+Tz7bYaeGo<N$BW<ncmupY#9<dnUpMKjy$fg9<Smikn`&A;
z8VNt!Y!tp9ZannqQ7G(Xnc~0)t2NT`--5Mewf-aRX_~}L#5LHKDsFfe+%&ai(+!xO
z>69lMoO<Smw;$}I6{o!wwh?3e<qyBRtvksGze=4m^@LLu9@f*sqAB$6z2KUBGh@;}
zurp2{bA~?;<R4x~e{w*4z19VO?(6wx6;4YZ-e&_#vNY!`z-H6m9@)Z$({~kq!RODu
z-f9M?tc|mi{;jk5ZG<_zVtrHX3(RsZ!b%J7sr|_R34Sbh|D!g1_rx9j53tD*^+I`A
z=i994TbT2fx|kw-Jo3@G9$0#6jZzezy~-#<`gf^<-+^LqffZ{>1?(SrcymuS#vf+E
z@9N>dX3F=v;FP=8w6*X;*{t<Tcy~z4J~AGtt6H9{h9y{{=g4^Ce2_0+CcJWFhWQOl
z;~w}Z9e$)e_?Z0O<SxUliSTiG;dXL8j<-$j$HO#Z6f0!>U}->O9|G&NYjBcyi0Ufs
zOc3m1e7Km5A1v8NP6xn=%zlGp{2;D6Jm3%WUyyk49=7^mw!;cu)pM#P@fMDGlXwd_
zGl)Nk<hSS^etQCD+Wp6pe4oVA5j|CSoblb=Uf4D_L_iV_o_pck2G{+)ks$@I|9hB7
z?)T)meHR7cKEc3?<ar$4vu8mF9=&^c%S$*>_}4jZcw)c#ObHyjed7HdxTDG9dNG{B
zRieTMPx-v*xdZoBi4>Fk^>;=cZWGh2aI(Uc+F88*aK!g4R(7~KI^@n}*ns+dJ}<oL
z*)XgR`}e%$6oyZ0FL>&~{c541Jn%s08y$66_pvfHA3Qs>;fpHlx@V&s`M#;{4~>d2
zP4>$f4*2;NHd6)o3umywc6dFcXNM>}baG6K1rBf7nMdLuVq0^{w!np%q1>Bcmkg0y
zlD~rGaM%|3RFad@Zn#T#qb&{GcAT<?6ApB%xK9ZuWd}uWhV_2NTv)+;;a?NW7DiZn
zzkcd(xb9Zm=d~={|MH=LA216SpV>b+Rr6o&EZlxFP5e9j*>Wm$0%p|}%AbR$=8mV6
z_<<7lVtOe2dReq-7%n#U5eR|z4<z0mgqaF5tzBSddf$8!zbNV8opORHCg+Zm`OLkw
z4?5Ox#ndbNDVRFLxX%(k5XEgq^5>haj30sTvyKOncu2dtkNsiTTcy8%T#u*Sv@9Qd
z*Lqj@2Y6<eOBp|0VZ%8?=1&HnPMK4}wjS;+op4D`>kt*(mjBzl1CHVgJieNV`w`PT
z+6;R#|E^nut85*d$^33}wN=bFm^x**U?D7Fd@N!PW_B#Dc@B3CEG<vMNvF0ZKZZ{p
zvGDo=Us27MAoJ1QV&;*La7gN=tz^DBAbru~GpsM7(s3W&l>GNmGR#^1GWQNV=w-l{
z0-yQ9GZY5@7<j&X2i{+sS#}N97NGTtfF~qObpl~?@uCkw@SO|R3?v>RKBv<k3ZI?g
z&2WXqG*%S?VHQIXGc$PdU$E2-c%gl1(G>phR4m;Ob~qK#OXl-$Sll=-!<&DzQ|iH=
z`S2%6;D<FipVZ($>OU^du&ULk0cDt?Tjq)qta(-OFNu#_wV>Xh2uljL*O7RL8P#uj
z0eHI?_c)2SR9vd9=YxM#^=vx@8&++K-3AL&?LI<&KgzC$jTydWxzJ92->=^H20ig5
z=^rNWy<al4bg+lzmQZ6jyx_C@zYN5a)U}>i!ojww3u|y;6}Pel9Dn1a*&?j!bM`!m
z4|&yY82tqsc?z%E!pZVaG-lwMH49ER*owlca~l57aZS@19&vx3J_!H$x!2tbPIRyp
z7=R_LmS{cUd6O;oI^c~}yZ8CS$?slnYlr8Hr|K@jbo=cC8sR6O=*LO<<%sR1Xn>E~
zbo-O?;~B4UtboTYzCQ?sYh4|_m%(!Gg@;MJ?9>frqi1k~T-%wu@MLuPP(D1|A3hfj
z-=w!bo(=1HrEZOdxl?IcGhr%r9;Imb#=3EGG^|xBY@Gy)xBcacg1<L>{hI(U7G{Qp
z!H2}>IMU&#G|HPp;k=gIB2r%ib-wvrh39E<`$>I1zBl-90Ia^(#+AfZMEb<ed&Bpn
z%<qx-3YEmGDNnd-Vy93(ydv+R>jdv^W>7DI$9bvWI=~Lm7cY_b>3ja!93!~F!#b&w
zeE#)}@ELd@ibbLV-l-NBqXnxRTR&Y7YklQq(}WGb7ksOQU0-)zSAmD!BDb`{E%Qb+
z$Kd%a#q3w`(m`r>894Gc$N%4duTQsrNx`oME-t@8`j@w3&4O^|UJbUlaCW(^x&YkX
zv-GSN{_3)=XgA!m*w`}!_YXu#a=<#3tQ$zY=0f4OjSTS94<C3x!&&+c5%lmmPf`8<
z$7l2#EPtnC|4Ph^*Cf)L_8y&Bf_JRQWRAh+nsH?lumQ*SrWyE%$ribB_<^46;urW;
znmuDL?C3eMa~}RZJ{;9eKJO=X;yZjvM-m6y5no8`wp)VfUgu2Lzz;9%iu*;<jVY`1
z;OfX1Wh<}~y@%pc*j)P06lwn(s@`l%f|ZOz=_$}(uxCicCBQ!2Z=}|de%deEF%&*9
zuV+H~7mm2q*<g5&-LH8P|CW$@a^?!GYvi?!^iQWhG7epabBvjD8DOW0Y85Y-<~rSX
zcKF4XD;gJI<)f)VyWns9BE|Nwhu4lrJn;6XAyRfQf8`VTJ+LO9WV#tV*s#lDFFY(3
z!G8{>kIh>agt<1#-#ra0yR)*1!E6sAnf2j<P#IOye}>f0Pbk6vStmOjhPU2Pc2I;>
z9t%?(f@KGP_DI4)2BAE1u#AwR;SrcZa7Tp<Z2$JhOA+{Trt^?8{5e<V*nW7PV%b9p
z-dr*BlozJeRlBbSZ(unn#shQ7bPJRI|4{H)0vp_C!l|hPXE_M$W`*NAGsd;xA?d+j
zM)-T(4D}hfGlOO07TBuZ^??CQ|F+eW8a5ApUULq<*+jie30JQa&YHk|iH@&-rs4gn
zo!w#$Q`Bc@&cjTHU9v4<R$If;FED>w+A9ZmVA~y;DL8HKgC(*)^QmKgb3ZIm+rr`o
z8yE6L_QB>q>P|SrOi{PaH^A3I#_hadwY-X{I{25d`9BYm-tVGY4u7n_%uU8mUoR&1
zmBP1&UA28-6*-EWY?$}N4fjC!%XVSmEZ8ReFYQ(M>a&si$#7o_{oW9`jggu)308Qs
zaE7c;)s{QYguy;^E52m>HllscH5C5*VeC;D?7I86(nWZF*XNc<*#0YPlQ%3}t8Z}+
zj@{UPzy;pdsd0_0k13gbeeMJoM~FO&fzNK$4>EysQaHLFz_Up%bjI+8^4s>w@X!Gs
z4;^?u(K{>?7EqL4)Pjdpbjs4;>cRAuqr`&Z?;gW{xJxzUV6W0-_Z&D~z`0lg4siC3
zd<H*SyexGPrlvSmn+NB6PBH9(WlA|elkw`4ON$X)uq5XX#zI(x-NI@M{N!!9SS2iI
z<TSAf9&6xkDTkFuxwWZaAI*s`b?~Nap`H!!_g89xWW3B3IU@Tv73~`@eHs~0*A9)=
z{Dy@hIy#%+yL{SFQ?Sy^%^&UX(QKU^ld$2?L<pHr{Gp`1`T>4Fe4=$2u9;cC`5q1n
zO|uw+ADNVV?}pXA7Sm?n<h7KA4mf*AO`609^8(J8HN)bIv&KJRSEUo58{xlS6y|@x
zK0N=_t6&@J%Lhq(Fe0K`r<|lSx3rS@U{m1jif8Z#Pm8Z){>Qu5?PviksJ6gL4a*0P
zF{Qu-xi_RY!+qwB(aErLcUu<&T-11FEgF`mF`VB9s|lM1M!}(FNukUz$NbK(VQ|h%
z?#E<)T0HW@Ih3TYTPu?JX(08}{;TlsfiVjb59IQ@ZhQsy%HaFW1%IZHZ}5htwI8wy
z!ME0!PI$q_k3JL#zzUOZ3Y=gce*LZk@REJ<K}T3=<6S#4pH6>alxzuCnfwbO^LN)O
zJ}wLR$QvoHL+~cM&!K1Ft#cU)a`4>pV+KR``0V?BGM~RmY3Hp8-yBuM#(AtivG4z_
z0pB;s<yVB|va;J`;Qmu|Csg621$!-NxGmb<>p1){ZETMa%p2Z#UlVo^%E%OemFmn*
zNIaxv`u*oku=}@cKN2rFVHAI!0WOT${8$TS%43%L`;eS})Mzz?H|V!l{D%D%pDpXd
zE3Z#ROu-876D%Y?W1I7jX%eogJ9)wwzJ1JZybqrI<!NgPdl`w^^}_LNefQ1a>YYzy
z>R~yp<sw^nueE7)Eu5Lme~QF|Zm+NjmcdII$DCbYsm_+iC9uU+H%ezXxFvX7K5T0o
z%IgLD@E(kP3cs&=UP1Oh6a@VEmjTDQHof<QC(Pror^D>$zg@TlZ)897Edh=m`x|);
zzISuQH69kR<=PtvKTNF{ybIfu38{s`K9Oh7M!>sU)ISBoZd=%!f?(EJt^e-A3BhG2
zZ^BDqu5sb8|9Ri%{&49vm(mz`)tdQ`AAFvr^>QREb5QSs1-z_OnVbN>VEg*Z4DQ`+
zdM^q#qIyJi2);8U{VWl-J0u@+5H6&;`yYwd`D@R}Po!Y|FsAoY5Ip%!vuYBi;G*&+
z@#o#K^a3L!okzpyGJL_rF5@FSI2brbp2r#`&*lO6S<tAC9{i88_$tXi_h|nYvLEF4
zH>c^h@EC_@3#nfp&KB5`{F6@g<|KZ0<hV^&2mDl@L6OAIn1(VmyI|)|^8vCyq`T3m
z^c76MFSnG`|D0=4hg#t)JyhDH{&zZ^NU4Rxm>x2c_)_M^r|}K2T&aybc^?_Yn4Dk0
z7ahwu$@@BGDLY*VkH+sQVS&vxzv<<|R4;vENj&LjHgnfgn10uU$QGC{s$M!1-ccyG
zg~XGXna4}A;O$)eM=4?FB&A#T;kLimcdwv5Iu><~HWqfh<a_Ej+!0Xr{wCZJH@u&;
zXUQ`iXM*AHLLbl0!e^ufg}vd$Ff}={z9PUWmE!|DiWobQc*(AgaDN+kdv~h_iKoo(
zP55mK-w8M~M&dD5@0G30U>+^GOwxY;DAh2vgj1J#WM9D&<-eMY;AlJH5BV@<!$-Mu
zaOF^k7wKQh&j)3nhWBa2E|LC|<Bdq73H;bZJ%YqP&X{#k>cLjQBHE<?);oG@jpXl&
z{5nb2_x5oM+ns`kzIHw$;|I#s9t&+)^k<BMJsc+L@%jX;EI#*18@^KdMo|M6qN?{L
z<C}`x4o{Tff1*c>Pr%|<dj(ZsdeJTODlorf(>+;uZ^zAUGXDB-C~)&pSnH3agDiYw
zBm2cea23Olngkpy+WqS=ykJ%RSsb3Cb~+~lvoRN@?}014TMflvCYux)Zuo1mWvw7=
zD!?>M3vZ>=I<g<GQlaxA<5}spv4^~H$dOAs$ap&YMa~W(Se^Sy-ZyxdUG6FuOgZi4
zO5z)xAN75CVCRnOG-N)onlSO14L<Pu-y~VzosDobV}}Fjw_PRcyFb-dUNOV{Z^F6D
z;oE#}M_J&DkMqh(;g-O)>@Dy*g-8OKKYjCX=VgL@HtLC!`4er|+8tUr<;3ZqWPgRh
z`?o<G;bisex02yIp_X$L@NjXk#vPdVp5PZM*tocQ>=qnw_qp!s1LS|E)JWFb4YD_P
ztikVw0!+z#G$}h)auIG*r#edJt6#=v3zy)!wBv6t!h)0DyT8LWH#>^S{CHZUC1DQU
zOuIwN6=u=WrksN9&!rw9^J&AO<f~ucDu!>(WIw>w5uWLfaQE9wk4U`XXta~fXE^wx
zySouw^!!iSEBN_oI$a(3)&V)rR@gzf@*3HHaN?=*d@1}}!`SLLyp(#?r5wHyJkmh+
zFHi{tZ;OMUgx$)Nge4`a?#9DaLM<*5u-YrxH&@_S@>jHk;g)14)j*hvLiHIxJiBcD
z{T%H0haqw|%sY9<(H#C#{P!mdTpJ$1bQF%hD#*+YvzVQ^FAKkOd9aBM=F6(hV1f%f
ziiP*UOBD%%jBvwZNjN)9TXwVkTQaV<y5=b_Tx@NsI|Fx`^eB+@iD#0pOW`Wl&)nPK
zsHw9j%Hh0YF6CR{OH_RY&)_3%R}$%AO6y<3FW?Prj1qM4YM^7xV_2w}cl&>^4Q<fY
zT)6c|IW{~Zo+Ys2mkvjncZDy(FZ-C5GvNP<odg!)v4tRuBv_L(`O7%m?3-bf0#~>w
zUK@iiecf3f1FPAaSPj8jYdPiPV6Rcim3Q#?!N^Auu&=djbt~*Z9sMv8jvSaZXn_Y>
zDe1#tMl%M<TDYxw?dC0bV70!p1~$Lr^8Fe-8bcA459j3RPu_$>57h6=gJ&D-v@gS#
zPs<nFf%&YB6|TefL5!-m;R7y>IhWvjlbj3UuyoUjzvTCF+j-AQ!0%PY?nS}nlgHP0
z!8=$!QIhMYt5me%fTIkqBtC>&7}W$f!93hGk>q)WrXG#h3~zTmCq$lSU(g}(#Sz4Z
zR=AQ1;9Hbj@k{V7x;pVP_~`A8CX?{nKktMpVT-4Nzs6yo2+1f?UO~1yiu>S|EAnB*
zaN;#ttzNj)Ch_M}_zM3a(Kh1wov!&Xqmy|{D?I(~!ax>maKq$r9sDPJTJI5T{Ogu-
zEu4PwSQRNRs=!d*GPps%L^2ij-BnXnLOw6gm`3jRHhay3e3<W807n9B`|0<QJh(~p
zZO}b<(qM%p3uZHwry$R3&vDu38Sqi{7)SCvnMD<&lHh`rKNF<<9;pTiC&FhUw6#fj
zY}JqJxCTqyvaAb+n+{Lg1;SGt#rv+n1EFg(<}m%m2^Lbmj8qmuX7IDM!`J-bJwZ0M
zhOoy!pH))cvHRNpora%>G~0N=$GG2qIt6Dw-|*QRo|{wh(}1ta>Z-fIvL>g_9)r`v
zLz`UTou_LSlwc0F{sXo!l|<WHY1lKG?ui{tcShMw3cky2u+1F4m|-q11n)fhl->%a
zto!&{0DjJ~>|qSwIq)Nw6aG}g{@nx?^YK2u8|F{7Iim*)e=KWV{ebyef7>x5c>7B&
z>lOG-E_0qX%td3N@(WJq+ash4zcFlnvH<U1e_uns|7h;_1AVY3?e{0-dTLou#=M2;
zwVo*1!}BX@KJ9RqaaNTBd}ra|a0jgZpOwA`JW3a$lntAzY^fmcL)&hZp-edUpcd~1
z`0Z!;s$|$fT`Yy<-&4^zmjH(h<+)qJrS(l+k?=j|TQlVT2QrMP?!wg8)HURK7k`*f
z1j80C!&3Ti-TQy6H(}}4(+tY6t@Gx;{_xLJ0>Q`NQnLz?OR(scWTS)dr$ZfEF2K4B
z_Pr8tglMR;E4(Z|l*I!}tEcnY!nbqMxcOj)eyw>+l1`~^x)DyG^6W8&w;ta(zyR|$
zs?nT*4dO38{+opI@BDGh4nFyKv2Yo#jO+hk1JlWf?4E=DPGqjSz!62Z>9g=+LP)GL
z%$k+LFaa}j=@fgxD_MQ_#^CTZF>Oy+eQDF*_b`L;f(yC7y8#MU-@y^}J+yvswutYS
zF4$w?p1^fjQ}&TdCrmZ%TpI}Q)A-ci4C~JGe+-3XJ~Eg#!OQCJnaT6ia=UV%2=+C(
zB_09SOFb%l0n=QSv$+lbo@NV9gWF@qZbZX_UlbTpVVh4CyQAR5OP9Rj;JkKIxkUKq
zdeWa5c<tOr`dIkusOsU%aM%qmp%nPZDTfL_SVAYHAqGz9tr0&7Z>6Ts3Wqs#5}&HV
zakO9M@4)33yLVu5L$So$V~jkH?pf7f6*yACBESQ-D-W2Hg^e{P$JOAtm}3UV;8eda
zS5#rYM_x5DFh!&JBp1vk(8;R|*Bbc*a>Bk>R_{o|8G7INXkgi_w$-EXi+skHRPfid
zC7Z*rR@%DC_%O!L(!4t4_Zp%PejJ6}g*D0#!k%~cruV>)1y1IZ{M-C&<+@>MXBQR`
zn7ejtcPo76%6Q}f_*E}|*(>;W6a5N5eEtWoe<`f7?dzNn%)jcoqXbsU-)zhcSNF^<
z<-xwwKD~S3I@5^1*|5+U_vfWVyno}|!zr-xo$F_R!yA<j=O)4y&7-j+u-9<+ohW!p
zMt<ujxYIYj?k?=$>p#{3`x?n+guuLZ-RHXCW0y0J2E(48zBj*uMY`3vuE0BgD=4+X
z`Mb-?FT?jdO`p`lAEwNcykPdC9KL#Z^SR!`o^XwLV|Y0nlpMg~1j{5b&{e{p#NAKX
z!-X1(?;pcS#oPxhV1Lo;r*q+ow+~y)U_Gm(>U6lFL+^<p%;YvGnF(KH8Bj5RcW3@c
zO@e!a?g(hYgYSgcAHef<sb|$;u|I~hx8X=H)1%6;#^W%%aCp}4+khhcF#2KFO?c|=
zlX5Az(z#td80Oj2|NSsrxU|IK4O@gKc8S1B>RfR?u!Qgtr~UBP>4X2d!d;uzPVvDv
zYz_U~;D(<H*Z06;XZ=r^!J8%qk8g!H?kQBXg#TN;@re<>`l{iv5!`!Jubvh@`*M)i
z1ZE4^aE=D%vj1{N7dAQ6E5AO3`DWN}8hv;+DfHbc%zKE|UH$(SdGHOMdB}EN6Hfm-
zBRK;%rwFvGz)r_%*~Z|sX`z!RVAIz(iax`GUk^Py3TK6y#J+>ynjPGy0Jll<iVwoJ
zR!5_cz-)6@%Sz!t<23$qFr|dCehKXHam%;_+}nDsDjdGv;c#3Q_V$n2a~IZ@vl%`{
z(r;T)hQMmBQijLjnpd9op|Gv&p;>ahR0<pR`@+mOIzQ>a@<%pDUV^`$dvnnke*Yxm
zv;#b5VdP{AYn_WOcZ4si8E&wFN0haatl;{potJIl%U5;&I}bmh+Odt4$L_R>27UNd
z$1NHUcp$z+$N;wFyY;{ip6s*Ps0oYvE3jOK%M8ukwBS8r3i+gd#5mIHo`A<T%?pzH
z;p6jP$w`=f&wNb;oU@>MNfM^2QF{>yU#yfKk%E7IR98!c|C97i6M}0b@5_<;nOkN~
zvkx}1i|x&V?}<mWvcdD0x|(y~4Xz#s*x^H^z2~08?-O`>H^8>};jfF~H+8F$RB+~_
zD9ajHY2(9(L+|nVK;F70*zx;-%zK!Nn|)t3ELU&$u?}uizYtpoGrQ#Z)xym8Z2y(P
zXCmada$u%oF-|0Z|G$WeY&i5lXkQV`^E)9R7GCa^eN_toXSv841J7&|5i5Yb?{65s
z2^Up#@VtO?7i=%yfF-nRZj<->g3+9jKYUw~j+(sRC7+BIF2Ow=OD^R7c9C-_b%6a^
zFI$l3@u%{mo;_?*?9iGFFBUo-vVe16Whtk?1$W!M3}LNa<~>%h@~l9#87zHs=#d4?
z(Uq*B3Tu>{J2H@f`feR4q6ly0y;U#>&p1wS3c?@8E-=c&W2dU+MB&#(y0LPwU0&~~
z0PNU)hk+iZHjn;~qzBw`j-rLd3>&gZdQ*HVZC^b4%R$G+1MqL9z=$6B8vYF&`F`oc
z-HDIj2)XcY<nw_X&-P@)$FJu<;D(vh*)vYUKb?103c-;#*7lx&TSm+x_+W#aTj%$~
z=V>Z(_rvcR9B1~y>gE0?h2fA}DyMm1n~Lu967ZJ&dxp5-@H@K6V(?a>w@(@2mH3o$
zDL8d4Ut$Y<qRiAl5?(wQmP`#RrDS?2z!4GVyj1X`lNMX#;RYU=J1cQ$?`SiGPrwdT
zo45Uit7J@HslYdvr~K#P!tMPO2Jmvq^|0@-DplA6eRw6s?B@i$)$|;*7hKeQe)A_d
z-DyL<2iz=r%x3`Ry!&1u33hIJ#?l2h2dQQz!*h!r`GfG+o1S%<u-oYihe>|9T8eWS
zFinqsN(U?y^89-noK&Hr@CxqLJ)++ZTlAatcfzuM1LKP@m*==o3w$!eU2PfuGWd6M
zH@r`na)=A>(~rG7@>^loRYM<6m|u7UOC8)_pZQfDep_uXRtbylwa`|CODHeBYJlmK
z8rIz5!(7a>6>tFUe7qYx{hiwI1^hhkU(Z$8#>v&H06rlu=z0ZqQMGQ%hAo~8-42G8
z|3vC$!3!@n1%hDh!yy&Pus56fG19(1aekqg1aB#H9=Q$I)8;&mf>$T3SEAvxrcTjF
zIBnz2*eJO6Wm9}8{BNgEVIsVb>MLgme6;h$bQ~;U*Z;#C&d9#On*(n+xMR%&j&V+|
z$%f_BHrYDD#?)7b@?q0G0^jUmPs13WJUAt8w}A!BH>&ll8a^#@!txw!x?gd}OW4^&
z^S2E=(<uFM8RmJZpMDnB9TM?df@2JI8T8>_%@4Y^puekYV|kzj-)|3b+6-^yVxc(!
z&)czO?S_9Eeb{;o_S?Uvz(MktfAEum`xupD55e|79X1_-`y1KCC162DXKxXBEdQS4
zF<9A$;o3g<@1FD2WIS*)b<5X1utoF%Un_W<CMN|4T)%gL*%I#h%<H%f-tb)Q)CJgD
z@V++_{EV7@$_*}QO&p<xWtQ?Nec>c?&GR&HcE4ka4@_%$x_vDc?N#c=N-}=x3ZT?q
zg%9=w{_uwb=eF|Cz&1H7n{UEJN;OZW;ns}X%GcnYo;Q~VVJZ7n{!4HgFW2%rn3bP*
zgB@I5Zg|QOHe79(AmgQ-w8_m*@RejYc2oGmy_9$pc)e)nKYiHGc!b#$&OP%pK@U#%
z9r4$Pb;gqd$atyUiEZgLye024s~XH3&T4)N{*WiMO2$jxPqf}?!Y1R3;_@(Sx_Yi0
z>?)A6;|MG+>(4I_mz!MIAkW_;-fMY3%s3(=DhwOtJ-l!L=1lpon+Ik)8aVYg2K%>S
zJBoI}_S-WoSK;$E?b>W`9dq*QUvSmK6(=&DYM;KO^Ao;rxt_xUZ~LVpS^_`JVQS)n
zCG2>Mi{SXj+~VZ>+~_Hcqu|Tuc{IuI#W9YI+=DB4#5p-(Ipzkoi?BbZfQ$glx%%Lt
zH>@$c_bnOEd2foLbAf4<=r)t_Am1y6?T#=<Cv^_FztVBZ085xnaIQfXzEw<1X#vYA
zeKnJTDGvVUd<L%e?C>M??Pu7Vc>{QX?bQw?SktD-L=%=7x}m8H%dhI$s>5T7K3}xq
zk?~WVN^l0X05=&Qm&mrgmxsIeF;|lEP8M%Ib_6z*9q+d#?z-A~2rmEDe!&K|<M%(f
zA8sE=40j>v8scU9;Ne`y21hv5TId!V{44XoM-SNG<q#t)EOu;lyF0vXspm5dd{(_w
zjMVR|Avf%(;ei*|ZN1@*AN-^j?qfZ)<<Rv2m?Kl@<xe;=VO)>YSCg~se+S{LA7QSf
zKKszTx;g-RJk-y;0*C#r)@_CdseZg9^9|i0+kr-y`AX^H4S3J@bB_z*k$Ls4ci<E%
zD$y5k_VB`IGG9qPv*ZvDM@9Lsk@<|2UgBIV94jf%aU0GUzr8O2el40h9Sxf{h&=O$
zciq*fAo=&kaL!o5Rjp-j<6t_Y8g~nL>-DP)F|amWk+L@I*ES~b0RHozZi^;-H0I87
zJUpkMM0p54vuB(+4Q}EX4m}8CIaf6WW^?K`*#mb}E?Z~AjR6jyxL~6n4-TcnC3}t8
zX<(C%kJ?Y*1n#+1Dp;?n_G=CtSTjw(8jbP9l{M<;@TlD7yMN(FBbBoGaP8y;%V{`j
zCyz%BY%dh<JPEfHu579%>7$`<KaliwA)zMt$uiT~VK_zz|A!LpW!l`>3nys_jkLiU
zd68;8@CE8M-`DUl{)iW?uvmdo!FxF1#GUG9_@@Aq`a3wUEli*Wey;ZEC=ce#7b#>0
zp22@sB{F#7<0eO3%VCA}Obb(3z+Z4%0c`zXd-FNCtA_JQDLf!4$KnI$`4>tT!k44V
zE?<Oqp3mv3gcIC8wv%{}McEDulD|2`UV_An+>X;Nzl6KgZaAdDdi1gs)o_*Gj?Q#A
zdRjQX2`)N$kh&0-E<TlB4?8HeI~Ku7Uu31*;E8J=f~w#Go8vX)ep6BdW~$-WiT~s1
zzT>g_9yoy0vXhXqDI+10MCR9wl98+=nHiOktn7*?Wy>fsTK1;UFrp+1$(GfyvNHO8
z&hO9n>zwC4&pqp&^_(kZMA9Sp`9nT3-(~;$uw^UE@<RJYD;%#Qu+Rxdu3mc45BK`)
zr1%W4uk!C6gt?73#*_3<9FkF-fZew&aFFyDpq|Q@giVM03rAq3vs-FrVYL_UWrpEj
zPhRaI^K+l>mwxyGSC9TN+l2W(ifbWV<FGY<W$kA8dY;q88Cb4v%XTt9IB)oG?I&DN
z(dEel=kFbfnTI!hy&`P_J1grSBG=<P5#CDXJG&)a(}rM)%elN4;jcP3#roj1^j9aH
zVPTWze=Tr_^_z?CuzLNK5RzWB)?YGQVTGBBQ<d-;sn(ZXuyowHo^m)w`i~%qA2d1U
z9|sTneN*v;f9$@qDHeV~y~21EJ~BC@<O8?Id=Vk@wYoI%Z@l2%U6W`0;AaJ0aSrgg
zl4`F|_$ieShdt~{^Wk|A9Q&dAml5n)9N!oY-!MOY`6TRkF+c7)%uxOExf~pO#--pk
zTqb_{fGk}3?YcjS|Lpw>7amw*n@rL@m_yKXmJ5#8*LNWCFK(<9+XM$R{RxVLGgS-=
zH^8E9o6Dl%&Wz}gnR_Vjf79B?{4~oh5t?au!7X=lBAlD(*wY7>(<$>lg#W0oTlT^a
z`W^Vm{PnVLic2B<PGD3%9ZqqUn9YX+wNEg_!xx?Q9C3yv`<@A<!6i@1YaC(Wtl2x{
z`iT=_Hd?THvC<QAeXkd_;~H>t`<1IHaOGvTJ!0@3p|X2qe%((rCubjgXj@M``M%Z0
zL2q`r*nRup6L`Gh;=i4+$RmEA$FM+6gu^yC%A};J4n9`Svp@%z1yos+`TtojMazwF
z+r)RjMp$(Ji(yJQ_`w8Q16+OL+p*=lcs_mKdY~1)6lvVH2q%baYk3d<r1zAYf;G3F
zpy-2H+|H@~g!MVJlfJ<U6v5AiVeyyN#biCBSa?oi2<|mHtvd`iv#=y}!`aKhL38ju
zy@~WMu)NU~&RN((n~weioVpgJw*l)ZZQ5-t&9DTQ-y{Wm(%_HZE7<Wt$R-+?rcr-G
z9bBV(A(aaD6!&l{hu=KERL%%DindOb!XuN$23ujl*;$iZxLm-<c?Znmb+q>x%)!R{
zfEj-2dN=Pr%x=w6$pQ0Ae3wdsuSLAR!3OJn)w>t~bMZWV$OHeomOgh4cI0PMAmNX%
zc{u98vdN>TNI3hBhTlhFN)P8*@_kok?%D2uX)24l$nQ~9Q5a++W=pubg!{j>&hB<Q
z3gf?QcFSp)TfX%79k~3PNy8*uaG5*W1wO1W@q7q&X)WA(5iXwlr#T3F+ckUI!9s8E
ziFd<yf1AzO!&GUxjh*o9^~<L%Vb?*`Jd(f8a%-Ju;oLr(qaWbC9n2~wF!R0D{q^vs
zqQq)bIJ1!d-5Z!wH%~wx)=D>uFNRCypL3ps4e~=Ii{Ma^x=<as!_?qAsV~&yoJ%KQ
zPoCTUr2PN%61UQX>o%K91;U5EoNFiXmxD6i`@_2Qm*rLAYgrcq?O`h_|6CGZqvs8W
z9b7SZi%kjklaFdW4rltfhLQNK!n5bedXMg3pIJFrXu)8UD17CFYrirqZSyu&1YUoA
zRqHUEAal!LJKV8%W2HPSY(e{L8$A3U_3neP`77B<3KHK*cb5#j|8w2Re`w!#cj*U-
z!>z~6k1WFKn=h>GhZUGSFOl}YKk9NTHyrwAhw)FC^+=dDFYGk@S#TWgd3-B$3mlT{
z&oBU&@h4MI!w!c}_4dFtWr;_A-@$&<MVdG5aPoRa=@hK6$zb^-%;AxCvk%T+ryFR5
zhh-ma9DqYNSh3c_Q_Lx!Kft#R^R1HS;gV6Z-bXkvtSyc_FUynTD;nSx<_<}+zH{P|
zL*{!pI*BDd1wJr*QT_`Y?lvpw2d^_x3V(xxS?gNJdPe;Bg{XEoVd-iSnco-M^O5c|
zeE7vNT{6FaWBHAH3%tZcCG7~eTPIGD>&q<nw>rRUa*-x);YT&erDx%dZKvDoVZSDC
zeM|W7;}h~P;ro<whsk<Py%T#`4NN7@)ouibYS8nR!8q@;;yAqH;HRW=xJ|I(<T3d1
zw$~f;;i{n4seN$Xz1-g=uoPX_Niq23#oADEeeRWeM+D&0X|5Eta9zNI&BAcb+gR~7
zcs|(RCs}_m6jgit34RiOA%Mi6al5s79*(BpX3qt;xEu~xfPdL4p4|g`PDZ-%AwU1z
zZ`R<1KMKhG=7)6$cV?3C-`A6_o`N$dZr>u|OobYA#>5MMCP;YMRGQx{xNKejBMDEZ
zJ+>49%d18F<At~RUwM%QE5v;Jz7y`e#(OvicD=VDp99{NByU#%xBodB#|&G293H5I
zsl?4!Sl}#{S<lz7iA%~LJ<QP_JNpK<KKM*yEBxK#QP_JpO>aV!tgrZ2t8Hq9eKP0o
zQo$WB4DWZssi|UD|Dit_9Wl+?4XXyq^im-F!q0!t24O8@$Ja{;*HcXt8iorRT!sI_
zMU;<U{($4W)3(mS`2&iwzu>B?kKE?q#5LWI^RPGdd($6quFatKB5V}X`tm2tJ1{f&
z4<4Smv%4B@R$!>3M*A7X>UWd$pLzZHOqk&6i{H19@xV~R(dwOW_I#~V9Q<_VtRWw)
zvhCMKGT#4}{YhR3UVByP;0ceO|JlADUKOr8NXF~6RgsMc;Jv9g6Uq9AQFxB!5!jI-
z$kqflPLn&S2+ymjzB7emyifhmfDOdt^2zwHemT)r3+A3(VljmMq)J!yVEwYmzuNE(
zxrHkRurW=x<uSPA)Ap_Au=&$ybu~EN>cq{{a7_5|C+e`Gi8GHaY)2y<r2x-d$V{|@
zt>iLI$$0-(Q-6aeJo_$K=`bv@W5<79@H0-iN3t-dw^Vl^ycWhBE(wR}+8GAJ9S#k@
z55Rx6g-qUphYIg^h`@p_MK+OeEBA3(vVKByyKN;Fj#ua8A>-{8*ENrLI9jneSO7jf
z!@=+XKKIMw1S_na?m(FVtK@7c-T~`~-%NN4Ye~FIB=bj#D>>Vr!@I9uT4#i7zc)TE
zfgLA)H2uST(|w13Ddc%hGj~gz65$1wywc=(e<>@ke;na63`QAm;h-#awMn?L##4^;
zAKJYhF@A+zyl;rN!CprWy7$1Z4?lfN`X9BQdrjM6pYZ2OJ@A1&PA@xP?d-NMr2lfq
z;<UXJO#kN^73u$Youk-D)-OsZ3@-hKKc$I&Fogv*`>bc+bJ5-BO<=X0yq0nJsbUH{
znQt5#9gzJ6ANhHzl*~tl{?1DufgOf-*$cua8!H$m;05i04FYh~mFrgrVBg#6Mf7me
z4~Oq0K1IIA2|74PSxWaCT<i4i`y}Q=>x#S%lKxc^yY|d5EYD@GTn0-lWYGPDb9mb8
zNqUxQYxs=9W6P80qhaHRcVd6T|3z9&--W#&uqcr5E*1*gGw?-*A^tx2%!SZCOPGP~
z%gb+YdaahGG5q{T=A#Z0U%jc;1l~%YrrZwaC*9gh%D4GhS3xqr`#^^(Lm&3axcI6G
zX3c1%BmJS39=6*R@E_^Ib<$tj$iO2~4j&$JwO56eXZ|qe!~5R!52(R^)F_|j!c1<d
zN9Ez^<nFs!aAN?~YXz8jaIJ~VFKfpH#fZX~+{+{L(`!7V4C1h@!yla_I3*<giU7>%
z_F3{C%q>qjEeJDRpM4(%J7-jzaKllXz7*Yr%dhYF#6!a6mQLJ&3#UKIvB5_cZ;aW&
zxA8pUg8#*w(jn^~H=|FMk?X6rZDliom5aVU7KSJGcY2$`?DTt7B;f)7=V$fd)jL*|
zq<y*abA0s#>=MSdTLiYsuN%^Y_sHrc?}M$aZ<MLRoJtqIFu{eAjwwfA?V1NCnBlU!
zg|c$67|+RaTKHdkJkJ4Gxj9gh9(FqQy^5?a{17{sv=MgO<7>DLrpkVKjRx)z`8u@~
zj@Wo%i~^pGzWH#W8~eXhatt=Z+YRRw=HYMZMpdh5e<`*;ocady@;L}nBD^PbXG9M?
z*|Po462g-Yt-H3v*EqIO|Ajm2mY#fsP4`-NkHh~8Mxq*Fg9S5#Nmz+ydBbZs?&04*
z4KRP}?06;IbN7c!6P&EB7gGq&<-H$_g*7}ay`R7l4y9)C@Xp8k^s-=2g@-YIu;LCT
z$6VMwvXa9WK03<gl?^jCP6(3ztJo!V%QQHE<$am~{L>&JAsLo>#OSI5PjJ*;i-C16
z{+jp??wDdOzY7o9id9LH@Wtb)VeqrO%?G7mPd+R6Q24Iepvx{eTq@Jd4}M}<G|CQt
zieruOhSx%VmC?X6W0u~R;co6q2|D=Uq~$MXSb15feH{G>zis91HZWt^FP%wve<0J7
zv+()W%23ju>;L=wwF5k~YmvSccDves$QtHQIi2?mcDiJ#=LEBG#2<PJ^UJ>!w1>T4
zSY5gc8~G_HUxb6ak{0j4zj)ic$oGp-w=`aZ1+QpEyTb!ZlzM*fd|y|KE6npqiq9Ed
zGAsNS2sbvy?mrK+`FbP=z+-{?6VAeh)c>_ck<U8>Wm&+#CfA+rz&c`Fj7BhR)77>-
zIBhI?-wBwfOXvd0FSYHGF&gkz_ST<Y;A5dqGD`5xe+TrsV41~tA2i{;|A{6~!(lR&
z)~fJWZ}Ptx_^3YHiVnQAZD!|R`0Oj{AZ@tziEqggEPU$Oqzarmp3lAu<$c{yXNx@S
znkQby1{>+lT#$m5B`PM!dLW(JV_ylFze3`=AUtqX@4FBjax}O65FEc@d3FyR7Q<sC
z4gY3-XwC_HAB?)84wv7NJHHDqQCZnd*56{E4YzHBf4&h@I0iHJKQUp1>(0b=Ys1~9
zC+oJrg?N*&0sM=3r`Be8-`L(eq`i3Zvo3%2HujSW8RU@m#9TZ`W(D5<oqdq3uTmZR
zLOls9$jSXB>#MV`qH&NC);rsh<1FA2D#fLKcy&`*o-ORLW$9WUJfD7b{2Uy-dQ9&<
z9Q-4U(h0VZ*won!SIv&6koDfHgSkqtVLtZxQdgKV<y?Io%$}Gxbpf_<Dv!^Hr9Kx@
zd%}vR&vWO&l^jkgWId5Zvt}v<PH?t0^M%!1T&^U;FT6RTz2FG<*P6Frw*mTRf$)xx
z7e0i+!#s9c0dNxyyG$T_$Hu^lw9m}H>R$N6qY{tTuEY5uE`pwL<jJTVci@^Srsp1T
z`}2{)NLcIp3sx7{E5E)u7Ut|alk5clXm{Ea4QuQ#bHN+2mE(S>agpc8En}lUCh*di
zF{1>SsrmU^O}JuX`Gp5?lkm}F8t{dWhQ5jLWw}Sj9I#4kob_Ee>FVY-PI!0i^gr@@
z*q`OevcT`UygvBDW9BxZY_Rd~Z;sdCt0VNWTj68hpYoFD3vc6J3TAlQWrYxX__)@|
z1akcufeHg-*yLJ&I5%A8p;k(sH}f=d{6eseTv3P?Jh!owMFjT0wx5qYPn5XK{P^Ig
z90zK$e!M1icYz;vWSD%U0B_biXvq#|JQ0W><@rLiT^IR2DT!yo2Vt2)Y8CQ(;*}>E
z$@;b~|Dj59Kb@l<&qUxp)lPnT*vYXpnjg*@_;;THX3vjL=YUncxUz>LvA^lVL>Mz%
z7oo^I0-Ge(STe$4r`XKi!I!ztT_yD~RA*_R5pIb)tV`k>>V0I-gFoASup`%_5zc$~
z9QNjN+{g}Zjyy)23A4Tb%R#<B@Tbt-3^;vTOgUM<SIT?4oCJSK<7pFyL*r5c65$h<
zN?k~Orztx!5d|wR)}_k8H!lt>M8Zqq21iJJKYrieG88Tk`edj`!kv$e2E&&!&Q8n2
z+ZTT5`oN#Od#FkM-+Q9uvlo0<*glgyzb_p!QgnqA`oF!<f$i8h-d==l*zL?n{r5Os
zC1wvZ7ks%)>c7rgzhYZ>{;CBdssG##+*}s0!BnFVssEiOy&2{(<@Besr2Z?>@_1;&
zKEBdkr2bn=^sH#X`X%M8r2ele`r0VNp?o{UN&VmU>);PX__=5DMk~1CznuaCaJ<AX
z4pQI0wtslK8%{ptK4Sy(+Z24KfzQd8)40HLUAE5Duw!w1F$u3u6CCJ>!2ZXl|5}{k
z3;({_wZj|kb19MXo49UFQvj#4${JsUyMNP0<-xy#w4zA-v`H<iRM?QkJcqOwm$xmC
zCBsjTIt-HbW|Oc?#VvSZ#&wyr7mmRrO5w1<+lAPx@ba7BoIu#dfBh|KA42WgORm8*
zY<}l%z`8|l+*jZMVIOZ&AHA1ZGu>ed-NhZZ;f0J+24`5iXG|j%7UP&^KM&Wxu^1-%
z8@_+M8+;a)SJqp31TRzWrL}}L%U;Km{-+gd^W{@;J6lRa5$t*Hx4$85Zb)lW2=5NO
zJFZQ_>%T<5f=8k==QZJpdIbrx->2in(KAZ0*6}sVHuzMWu9G}Wx&6#)D;(84*DeKb
zq&>{i1)qC<$?O1p<#b&B7x;woj@NtP{DV%7eX#A5J4c1#5tas<UYP#AbRiFH@;=V@
zJ8U2M^e{Jk^2qeg5%^V){zF!ns-sfkCv11>jSvfL$M1N40?s|dw7da6|7l;~41Aa|
z(4P|SC=BG9hB=yq#+Pp4d8w)>y#%jN##~s0eXoqV%)>f^gG!^Y40lrK8oWzSr+x(9
z@A{K(6%O^775@hRx11zP_Del+HYxcEcQVOeri3@_&c5CRyA}+F(ZIX)Xc-z|vD1Fe
z>-hY_E=7Z2xOT(B$pv!#fX~e#ut*1!$Si!Rx^A-*y!%?rb~1h{{$t?p4680$>Wsm1
z2NLwm;qjhvseV{~a`(H_@O6*<G(E6~9n~gP*xTaO%qO^HI>Jv4{^m<@xgIXR$h&Vb
z9Q&g<ip^fa2dnNsT7tPh%qo)dkhI`2Q3Ow$z7~243lxl<D}kS=Z+}e6+ff;%Z4Pik
zE>CS1JQ&*^X9sJAi?^o1yBl6VJOUTc9xRWC%{Gg2D8N3P*Jfg14RfQP`{30tVP7NQ
z@?GV&VsO-_0p@UczN7CDCoI%3yGov~dCc<pTyV<PM~US5x~TJECo8<uqdbVzr*q|k
z_jbV4Jr{U9;p1~<e;HtBtGusgU?#&XyX~;VmCK%_eHoONZl!^9%u|mZhxaqQtfPm0
zOWU96!fc@ursVqJ`zahqdum!W@MafmCH7?#dEVF^aTa5OH91FriNgOVQnSeQ0}t1Q
z?}Oh33p3Kfeu?dFyJ103qnmVay-n<M(!L)*;9&YU4C6J5+_;@ESJs_REASZs5j8U2
zQ94?!-Uugfn21rsmu~jFY=Wx?`4lNh_$&9ORM_3oN@yAVMS1Ut{~o}JDyP@~!0$h^
z`d){FS~ACe!UwE`=5N5AiTQk!@Rnkc`YUkn849`~n6LJb(p7kwd8c|mTyRxpn?20V
zd_lYuzP(v7%mMDmyXVjW5AT*YGlm%^e(SfuHzXC>P2j^6R8#NZyBt+V^x(*+wq38_
z!^UOB`osf49(6FU+Ci?P@TT?QGZk>_^L=sJ@F%@3t7Y)Ll<ajC_`<;X@1*~IOghO^
z72c?SH;DAV=Y&`X<lqK_MJF<zs`|CTR37FU+)a}S|2OPgCk1acikKziCGJjJIca!m
z!;EMWOn23oZVyaRV7cQS-0@Q`L;x;VZ_^|F|H8SwMlA40Ds%gISh8F5+jcnJ`rSh^
z-n#Sm&~r-ou(D1$x&D1tgM$=sw_u>reK@G6DS7cG();_WQwF?tZE*JjoUq3>>j5m|
z(e`Hq-oM^iodc`uj`|G4#;0h_$oTL6wKF4MVVmt&FOmD_8o21x4f`%-Gm!g#=rZ2^
z5#A8LZBHqjYP?|93U8-VtSg33{CDwnJ<JmEu(KL&EcViV3-7tz;$8(mTb(VehO=ix
zZjte9_TsW^6<if)C`|IJG}$e^5Pse8Op)a0VP4O@1@Q3qPd#Kj?8!fKHwSjxDl|*R
z%l_gsJG0^JO6@zX@KmHzU@H9PZDJ-VKY{!X)G6?a2c;hwZ`(O^sszJU9jeh}JU-Ol
z)))wPWwlX}@sz+=g`*|Rd3PgsA6)&raK-|rVNjtWpBJ<9lHLV>JtH<le&4Bi?_74+
zRdvPoEzGoPsJC<j&kKwB6E9$iLfxii*lfTlyb=~&kx3ed&r3PGlkxi917ggRaQ^+N
zT$0`jgUlmc@VL-I0?Ch=#ElkT;rAH|he&x7Zt-~A27i30!J7&nD>|##4rj_mzaZt|
z?08$&JNU|z)NE2-me$I6T3|0H)gdxI|HYLsT?u=z7`2e``H$kO=c{3}NUKL=d>#_|
zCOsW?xUE(h30Ka4-}?~0owe{M9QK@l_4f`O{`w<rG<@#<VBl>yj#@Z}TwhI3Z!#2a
zr(S!J2zOm`at(p`zUiAMz;B|ycKg6-HGHn5JZ{vQJ?jl0<a6Ij<{K7Et(sinzhjDf
z$o)?&c<5b%`#Nvek@_|E>U+68{5$Yu=X3bxtpz1JScoFs{TYn^qvTk?*CWq`lkzyR
z*?s?Mm?P=AP!as+)=0b|+(LU^ft1IscE7m|;J29tUrBqwf7J5EQCM?{a|_AetCRMz
z8t@%6%M4Qfayz@%6yS66j1{E(&82pQ$iuv1Cr**_CpDq{OA4N{$_OOw*+yH16$zMw
zz4!m+$-W}rS{UBx5_oVF;R`O0CI#V^qVl#8*p6qXAvY{KY5f28v+*?bS5DZqCL-hq
z!j+wT|6_sArPSoDz;5mOdQ9+ta=(v}@jT1V`f_TxMT+GrE!t}zuE_e$ut|bED-C>9
zdE@@I>lmNCZxUgG>skj&R^UIiQw?N%k#@qEdk%ix?b%Dl7ZeVXnKN*S`F-yl@Q7Lt
z!vt(G%{i(F@1xAm8-z#o=#MJH_OGNhC*f@Sh%;L71<J+u<HTiG_K^O(h%Ck0GVH!(
zP1X>OUaksWg10qHzcqoYW*Y|C@q6F(g!G(+8NT{D?1DdSj@?B1<Ntyw_LKB|uuF=a
z^sg<H@=7FO3yxz0q`w^hHh1Jd_=NrRJb4~VZ7^|CfoJnJn3DeRP}-Lb+Ax*N;|t{Z
zzCh~}rUl>nRNEE=t36%f)rV^-9LGq1;DcI1_6b-d__{XfFBFflD4D<mPTxF8f7ixP
z<CqbA<P&9g3Y@4@H%!Xkp&8Rnxo~Xrz_b~B>&Q*}Jb2qKvzyj%cGS?l8d&GKee79y
z{pGHOT6m*gzvy}Rc3vZ06Ks9RvWS%TAAdJpd<UoZeAXuQVcFg;iR_2(8E7zefgR$X
zu95zic8~m&2mFos3^VDk^8C&9aEGnV=3F8DS-M4j20wV)_igE<zq#9Gc^9dFrK~oa
z7vcRiP6a{mV(SM9D)b-E9+i0M57&=~#8AV*(+`Yp!bMa=kGH{%`l~(H;R0DzhV8J~
zijx~@9~kIL4)eo`3oHQ<usR=4@^1LkpCGnaxKk*)K?<(e$iC+utk1t?pERs(e7!0O
zw#m<kw}9=qi_M~8(GiiAGjPaD&e{7g_7@qD{l{;{YH8zO-7Tpl0dQ5IV0tRdb&PH>
z3VvyICYQwL-s$W|{=d=6|91zu-sNQh)<(EsMX8S5kM&cRf_nJ$zJa{~aMQb!vwd*a
z##dFOy-K`x?{+Ut_0xKf8~h}tSC8zkl>D{7+ZKNI<nK?i-t#oAQ-$Qe%bz4Mvi@|?
zO}L$umzIsWO=Lf%bzj>NJvd0G<c|)VQ+-tPIDE$NqbS**I%<--le8yI_S*lE^)Yc5
zqf|MVPUuu0**_UQ{cp<wco%o`oH6WpyC{ORFP1JHcTU057thQK!7Q3;nPfj@THID2
z(!SW7HtaQrD_+?gV}%6_Drc=>XTI&9nBl(%8$_(&8heL~4RE)Hfbx0x<=XbWl(72Z
z{;Om^rskRRf2UAi4Fp0XFTgSTm;!#oqQ3Xn$ogM<e>Hy#>@7R6-IZ9$I_DiMRWdi~
z4EMY_H<S;%HSSv_|F0UNp>oKB)dWvclj}L=o4AF*^mF2KWWOghRl%=Nc*E^;4dnMl
zY<eu@3@aOJ7LxTuRq>UFE^zC~2{V#jm8pHKa<HMxusTW4ihIIQM_{p5eRi@wSiG6#
z9UnY3Y_yr=&s>YK+HT_Xo^G-pC}^X2jRx*7ns_4tSFigl(ZUI>*AvP5o>Zm9ftgU$
z-*2fQB)`RlW1r2!c_$4`dEr^A%cEWJdkYV>ov_u>jI&>1`pFevvfj5-vrn>#c<&wu
zvL8HwhW6Pz*u`k00u4;NyYG8GY#SvlOxE)_DmI=igxzDh&aR{U8TTHRd<d&;W;#ap
zn@9XHd72JajIi^~!tI)SzTbo$^eyPgdSA%_MayvbLJOz*7>V!aBH;!9ykINQ4?mj-
zeBup{e2_f<4c?!S>vJ9!&ki_A*88GDU(7qgGe1lt+u)}7v3gT@^WWU7O|a*d8D(?W
zQkGWtE&T1}Q*RYmRQ0?p*+1_}nfK>E_|)2&%ayRZT>D!|cu4+@MIr3C{!vK^mgoCM
z{RDot?Lg7L5VTi{XSqnYj>Tcwb$DTXc9!hVrz;%2JOam_aik*u*HRjuTpEI3`AuaM
z!{JumR$t+;POI{2IF!?8tPB2kedJ^nJh(`!_Yt0cqksN2oFz~F<pUg<WSCwH^H~UI
zzkp{K%1TN5z}L+$Rt@uW$rv`kirhu9MX;9EAD>QGeM`#2d{|J{W#<?8yOB6;4ova!
zWfob#WwEp_N`b32&eCp!rS;!yXTeQWa~J=={@heOmI|*HE7Hp#JX!9PUL1TYmGuYN
z&nq~Zxb-^BARv3=Hmu_-=jjJ`u6MpB`)}Fb4N!T(CvMGHX2K~ugD+izU+1;Fc@OWr
zJx6yQzE;+8wguLmPH;a9$9ZyueS;S`JpC=;4LV!`J@EQXuJMzwiJ<XuvcEto=;y3H
ze5C3`=s4`jcjS#Se38>SaT->6lX6rE*2}Pvo`OGVsTUrCbH|;IF2X||k7T6bw-h$t
z=i!IO#~z5n`XVmNYw-Nm9D#jsdi%N9Rk;7S-fe!^a?tKE`M;{~og8L9nDM#pASEpB
zxje!MzwSOdPXoW3)^*$p?_E7|mm0pCxcF%^%*k*da~tfPa@1rK++NG4!U#KN%+{_1
zqkbk&`wGDlBW-$%aIo>0oq}*-x^KmA_*+-xNkuq5_wdn4xH#$jv^-oa@V#IVZs#3S
zvViMza_W2Fu016^=CIav<NfV$#Bh*Z419)*xxEqY`6{y^8ZL9JKT->CXXCf6f?1!n
zca+1;Oa4vOaNaVfa~=FL@MAhF_E#m{uIDR&KT4QVvBBG!sVgc-{J>&AO?XNA%IADo
zQ^06Q3syN*<V?c(h4qID;GuRk;Vif=)ZZ^3z8<#iZVGYKmX?pO?2E7I@$jt!LiS|8
zo5R-}x;rraZu8sy@H4+FED>-O?SFFvu<54kr!jELo8B!Gu)^FHiD)>avB`<-zvK5g
z)NmgbuiX^=7j}vsZ%u#;A1yDgz?U!Vuzv`Dx<GBV2mAXJ`fjWy!WD%S^Zf9~^A@&u
z;pbOksrSJhckfS--=ll{R>oeq+uPOP2E1>cy^NesF)8-!ODKHn%vJ*l_>6myk{_J9
z@;E{ZPJ7GIaup7~5G|w$x4oS^cnLnef5(v%@S+w^#RYh$^xEg+a8lMHpB+5X?LA=x
z_ZRbI*}!+ssq+}Z$G?8`G=ysfD-W2%LwpM>`f&N<l=r6alZg*DN8xdOhCwUXv3h!3
z6JAOzF0g=GWqo#w!y+kcZ*Acnf0D9AVX;R&f6u`gw#U3U;J@|KTb*Dn)AMV);6pS!
z9-oJ~H2<?>f`i$Zh6CYYv!GdeIGSHxD;N$smmS6mdyGYylk+@`-W4&h!0ub?YRP#Y
ztDia_al%T<J3C_Fob&y{<ogZ;AD4}T4cs==?uLi>vX7<0?T0t3@xyHag9T}DpsG-h
z2y7jp@HU%-%LrKRg$=0uL>|Mwsu~ND@N54bg#tL$PRUyWuG+zyQ3$KLSu)AOn^pr#
zD`C;MhOsg*L*6@%YPj{&Wl?2Vlu~^E8`$6QT)rZF?4xhYTX@&G08Nsf*B3OZKEqV0
z`X|(2*{oFFPFU-o%jhvU)FL|YAKZHMxtBVe+9}LQ&Tpa7iy4xK*Chx3+lupD64Lig
zlHaq%=VC8CoL9_jNPhp_U%NJu^J|2=?wgVPO5U82$^o-4guE7jzh0RwAm`7t1gdK8
zferb+j`73lYohriJui8_wiJQwSjMH;VT)4DzrwKNueM~8f3v2{2UTD%=bu6h@VtFe
z;(xHsO^O<lf9)&$wdB0sL|^^-?eNjbLIHA~@ARa#1-X9ZpQXd({2zm$&4Z+TSp17j
zwSZk`c3dU-B@xT@)&+iLcFdm#J{3?ULe3jf;5@xU7-myCuI~@;OY!F-_tQxGr!)Xw
z%#SP<gL#KqrxV~ygM3OPfA2PN-HIpSU9360@PnP{1?0S1&Naq7F8F5agiaQmPqBF?
z`TZ^8f|lgGrJoVL_nBcIFQ?^a@UGvko9JNw>U8=NczW~b4H|eQ>3dcYT>hqKngV`Z
z$5vSdOF0~K{}+Vyo`WVQ$@#T0A^-I*z!{36_OIaLqP(;7FlEMu<Qll~RPuolSmwQ8
z9yza;u69f55PYo0`e;2|qp`;Q6*hh!bovAQ?1)Wz7kox?If}e*$f`)+y#d~9$@r)p
z_8lr&d<zTR5AOO1C%I)b6~k}GqkeS3-@k1-UIf3=XbSCw6ThyMJb|^Zwk7n#X|1NR
zk70vi#rNdAD;;Sqx&*jkv*N%Ae9I=|b{yO_eA#;#4s1zUjD$6IxkQrlYp>s!^^Sng
z-%1mjgqe;{4hO?ch7XFPao$!#_Qfn4IE+42_a1!kf(PSi_|}-1dpfLg-G$W@rgx>^
zO3v3@F>$}92k*1akt%?DRV_k}!$B_s-sizT_-%iw!4>t4bL2eu(gDRe6?kc8FybZ5
z)}nb@7Cw=ikyZ~k2<-2df#oi^$&&LgJ1!j7+7DZv`f=tn+|IUoTol$HD_&}cWn8wD
z?S{ifdALVlqlwCDUN}K(xQv|Nwo|8GU?=%JbJ7NKUR=B-h2(ble9ehuN_fw{tw}WS
zVEFwy@_vKIucOnpz;e_&=G)*$_tUA@1M&P2_~Eh>?isSYwF)oDBv6s_>u&74_-772
zD=WoL&YN8NA?!H|rwsHKalxnj4-ZVho9f-_1z@`V-{;0*`3;<B_rN<pt~d9?>CMkB
zllL_+Ru|~@!F|aF^yGaMZM3h-KEoQ?ecVzoL$Iq{2Yf3(uv`+pwm&GN8D3GLZkC0q
z4vGuDgY^_1+Z=|46_xJP!Oevtp2{#~>ljlld`Puv8#(W<{m`;^8T=}xR{8{7rK=QB
z43GXZX(i`PZg{Of@f2Pf`7me%vuIB_J%Kg8+4!7<896t6eh6R4{2WQnj||+OZ2SQJ
zDS2MV92T?8tBr@n`a5K;;q`TO)i`*V!miy4J`-X3EE1+`mRxd$9bWkqgu{RL=bUka
zy*ll*qTzscMpqx0f7{HvyYQ{D14<Eais0woC0O-Gif9O2!DDFt7jEz!j3(jDd&@_}
zke|YR5m_<tBep~Kr2O#S=Vge49lY4r55flaA9zyX;n?T^DL7f#{(2f*xp;+59&R_P
zf0_qhb~5KA<<)s!Ks^^WxAzK_fZ502-1z|OIWyl8fgL{W*!vzX{v@@;2a6~EIr|-E
zSyu4pg8S~u{~d<eInIu=z`X6wJb&QGBkMnz;D(gk@>$rxk?#~KpDBOZddd4!yU*mC
zk@Bf~m%)>~AIB!C<MkTuw{UHDG84Sr`eY-y{{UxG>1`zZsh1=vkH5S7G<U*`bj3x}
zuvQ<_;0{>2pqrDF$5bJvEkdxoy(-^#_|UpSngA@p?il_J)<4rxlnS3>y0*6-{<+l8
z{s3m<I$rw$&i2W?-vxhc2tWP?9(vod;VWETesZJ*_8Om)orSMj)}3#JgFg#BoP*!a
z+@xrO|8nVek@p*GpZX9=;&(m2t;7KT3XA3><^Mybp$!-8u#=Ma6MULArI{P{PJUDR
z6+S*Fz^Vi@SUJ5Q^<%iy-&Yyt>fCp-7uKbyn!E(}^=4X-@a1^z;EV8);E8%te^{!t
zD{sIL-(J#bfVWtGG`J4m7Ah@%2`ltFdy@B4*A!%zRl$$Ueln8xQ?Ky;<}HFlCVdWO
z!tVn<?#_oV%g(oCz@}?#k=ZcCVVVA?@S(@STeIL$u3XP2a8q!zXA0bVLok`VPur(G
z-a84VQHeiT0ozv%43qNy<=K0UI`}_J727EI>FSaG8dxSX{KE}+QpaVc0Y30$?8J50
z^+0!6JuK}lS>XpCR+Py70;_clRC&YqmSQzN!w*9D30#IbOR7wI;TO4nS(ixsEj%+l
zu)xbkMh7_c=NZ<Ya2)ly?Y8hUrt0UD@EL(zpVM#!-BjCOcvk)JHB-1{lZN9m%zG(x
zOb_<m?tGgD??a!kqnJDnXZKeNQp16%x`yiTABr#9JK=bzN~8ba<LSJ^JK&^zni^S{
z_J_o-{qU2^xBrud$5LDi#Nbf({->gF{uReDb(m?p%6?&3=Ey^THTd1f=mZ{^N8)zI
zNqBQ&T@okE-t_W_A$-J^brTDGwJp`s8s4+%;1(u$Rk3N&3hwH?d661E%;=~T1n*Lb
zciR99wOsEEfMsv|{<a)|_IFx<ArYSb+iE!v@2WkV84q)=3pf3Q_qx}9&4Vp<$8^Tw
z`$kQdbK#_||CRK^A}d=eKfu(di^{v<(%lUFAK|yXMkj_~ONHO<yrY<3Uuitm4qN!X
za^itwjl^o-!D<wNenRkTiZ9Ad@ah)>RzbL?T<%FNd{&WONF2UD(=Sp3cRlNQDGJw7
zsmGMUe&hcQ$-@+GA+bfUtth?s5qK<aa{URMLs5B471nDC@qY~O@c%QX1~<=h?I?ub
zrWmpr!L_k!Y<aNw8$LZ#xR`~urx8|;{%U0fFY(8kH^3Cymk-#$41u*byWo4Ol4{N{
z=T;4xPMCT8Gs{JITf>DzB)x>_?+bdu!=HYaj>30Sk1cw^MWZYui?GNqHku$<(e;ka
z0;~{l#Wfh#*5_MUho=sy1>b_@Y2$s?;LApC)py{CLM<gW<maws?GN#=k6d{TD_q4%
zc_{^EP?+0w7#_bk8kh+SkC-PNf_Vhm402#?t}6|i@NjyyO+GyTU$>?PoYNrlz5q^?
zw(Zk}_bZRFe1h**yzSS5y_zojwZql-b+72d;~5-p=U_e+M^7F2$+p1LvoJ6B$N;Gi
z54zO@HjLqZL(B%1U|P;hHcI&O#n0L@@S)Pcy)^J9Ub<#dKi)+3)l$J;=dT|WgQplu
zKQY3$v&)P3!A}CVIc|kbP8{Uk4WAz^isXi!-bQls!i(b60$i|}5A98oKDXIA4hg_#
ziX^Fbz^9i4@TM4y_Zo6t8Q`r{vaD+G0TzMFRPg=%3x4WwuyQ8#Hh9^f>dtX^S8LhL
zt?-Qmza?Fm;qM_Ha{ch#>a@mif2mp;Nq^q!^lm1w^S~=<Zur&JFCk}P|K{crQh)81
z(tlaO*>hUQ1mG-#i~r8UbM(hs$o*JODLXj9c~VX1Nc$jD!07D;OZhYoiNFj_qeJd+
z-~&}JDVW3h#+Fc+%JHC=1bkuD?&5WLz4tjIX@3?OXrtp`_Sy(WlK&sC&#uJ7IYFDU
z6yf}Wc%B^iq+eU+5tx-W?B-+G?Y5@88Z4|U@vH*Qez-wi1?Iml!deCEQhI(m3SSJ%
z(r$<8qJHa>_VBdz^P&!T-|e&Gq`f@M^w*GU9P2ON2W^$%xN~ij9I!gul~$7f88T*D
zMPcn7)gKPRF_!x>MPN!}{lnz`n^dzK<=`&yn=*T0>;EoW%EEiDaX%#aU7QscqYq#2
zXy+m6`?bP&pB@}E<P^pXZ{AX-dlpU?_Pt5+^WT)~_cO4fI_oUS?*q*oi*|6;_juPW
zu(WPRq%HjAtYi<VZ(Q_VX)bWyoqV%ZSX_AjA!k_sy!M+pxV7<vraK%cSg$$@&-(@S
zU4|c>Is1G9HlXC1_J*aNbcvGoVAFB{*HySLl!1b@7xl}(=q|wwU!wy^d!j1y+0GGm
zTw4$%?c37G38Qnc%f&0%W$>kM=J}^#`|`HqvGDw%k<^p0iI(<<IQV^`hBdkWmqs*n
zez4c}B6ky*=F7csA6ProkIop@8x#6-8NNBj@>dt0D@}2ChmU)XL>-62>LvS}U=hQk
z=|=EUR<(sAOy6H@N78%O>eVDYSe>2WswvFTOv!!%es23X^Az0Ny!V#^Ec<Gyl%%&&
zcb>C6%)fAN#2mgo*QvA*-savtZw)_CGOyVShef&Wwt}tPg758wf9}sacpj!$-?*I(
zUI_7Owue2AC-`iI<ERS1U4-N9SXb!b>3J`=3$Q246PrzNoB8vQD==5}?vV{}(C}pr
z57?%${P<sgw0EKpMg8D=>*DX1;15m0W+cC~gG?Wc!SM%moq}NY#TK4XIJL4p!5`L&
zS)A>FIW?yr-+*g09WJ-S%%yIfA+YKCJ@r@cDVrPP5%9HXinq0}ZZ-9ea5%JfUqT*y
zK7v{39(-yhjx86y`2OC>JMgQob(6`kdrgdOJbYYR#PL3yG{F=d1G64CQV1trqkWVN
zo3B(>--K(r8|3c8T7`Oo0kBeAl}-kHXsR&t8VP4R;Pn9B)!28{1wJLo6`ljPswyry
z!4>zv@Mgn}wjEa1@cVTQk5>4zj%S}aY_#^9?gN|}u}#Yme(Cy-^9wBfz@$MRj%2xT
zqy?T)4}HQ4zZ(%d)&bMfeAvqZKf9Jo*#sx&hhAyDhUaNH{Y)*K?<}+U5&nKpv7{P4
zu<%E!3{EZ1dQ=R*4R}yoPJCzIrvg~ucKwZPIH4=C?lEi>?@av|4tcn5Dhm!;yVDa7
zS2I26ONC8BB~B;888sI?Qs9>ib#J3!nz-*avGB1sr#0@uX(6}ok^HFg_t_N)s|L{p
zk^I_F!ju#QkG}f8GYqC1Puu7X|LnCKBlXueUo-R?%w^`SN9w;{WEIB^_}6ZS{iOa<
zynn?R4%c4wO(5l6sa&Rre4k~^uN$O3?D<k66$1|h{hKEB`ytQ1cge7jRd%jCoJhOY
zoDPe7K2kpdOHqbOC&40(o_qGeqOFF9Qs8OoPy=Duf$A(x1pIX09~E9W`CCm`B<y0k
z^%7~1880-Q_JuDAJ1TC5?`&!54S>J!>Su3(J+2&e4};&7i(Fqod!89P<W8>V6-GC;
z2tQ=DqKk#I4tBjCgF_g8&?UgfM%Qgd;g|cJJnq0@kKe0)flJkfJ;?oXA71-Po)7*d
zR{iAqk<1?|-oWwS8~Vxhsr<L-zlQ%jQac&~pDD~Y)`lfTMBb76ZGFc-r3L@cPL?9q
zQ?U2#Q-*7L!-}He+k2fE6ydsePS;6(sr+tUm4@GaGu%S1w>P<QpA=lVTdMmq%o8Tg
zu@7D^W;Jz(y%t^$3c}y^osBhv$6CbONdKZZLZ0<BT;@^~Ob@GiKDqeQ5B;rj1Gi1^
z)@HA%U$FiCxOCFL*?#rtt8cLLR{49&=nt9cF#p#F4>t_&U4qLNy`Fw1et2uwG`#n(
z;=WE2|H|Ql->_`vqnHoy`Ldx0qwv=+HY^|EwXB%K-{F*iCcg%FRaZs07j_;DS!;x&
zO_yqV;9p_mcC~PVLv|kNul?MWHd+UlGVt|(giCkWROG{N)V_RZgii^w$`-;;+fT2*
zg^&7m(mjN04($B>0*<B+zLgH!Uhpibfa^KZ8*ajvO64<2e{sK$re-)S)zaUQ3(F2~
zWcPxP$Ul9P1)IOhNc4u=ZwH+w{n3*x6dNzY62qMGvGA_O0~<VGcc!)WXcEqM+sPU3
zm~Vbf`oD_`ygyvvkBSB6;qc}-?~}H$Zg`Lm=|58pQFYkCE>BH-{NWvnm03pcA8rXJ
z(*OQV^PiwGe7SgwlpD;;cl4YB+`Da@-wC#O@orEN7LfT^cn;olpv9C9ZhKjuZU&!-
zQtzgR&p+7EtViN&g;jp^#rhue_9`vdw_;iL6I`yO6HLYzQAR&J%3-hjHg05mVjXWZ
zUjZ+0U85u8ljZl1&J@6(2NG8fz?Mq1eTDFKzw&5Fc-Y-U^9f9Kb<T|s?ucd8cn;s0
zVy7qLsUh}rd5>T@A-PpH_{zHq@ho_>+%9GZvF_%C6u8d#X2@1JQ_O@d4UXJc$;kjG
z=cfn6k<XV>tgT|aCih&<KM^kF^c4FGS5dU+--O@)KBlk%@zY&{KV66OW$Rr2AzZST
zCDQ}um%Qyqh4A;cngrb8t7j>4H^G*S=1b>b6Tdev=;87edM_(j^6tUkG_ZDjs*WBU
z)jqYx1l!gfZ_$NUn=Ql{;aT_oR0a5_)HX$Oe{J7x@yNq99_n9M;qyN_Zc4%LUeA8#
zf-498Xb!-UsRGwH;eW>)F7JiQKE03J1Hby@JSPOZYOD+FhVzq4PxHVp&OVgh2mj17
z>E(jmU0UDog+n^iHCW*>7nfd=ABVkE8kpgC+v^$j!!!rJByNB=%bIh^z^P1^*(qV!
zw$Ku3xIMi(c*zIz1--0q72wHjMw=GlsjZ3@q&&R;m*(;tj-hOFCgsI(_2BQH@Iv$N
zO=P?}s}*280w31)l`@CtZU}ex!+c^1&18J~Gs@$?PMG@Vy~*>iHm{#*2i%vP6XXCJ
zA8LNq47V%u-n#_L`5qN}2Yah&y>fv^nMVJW!=4+<+C1P7u~q?PaQ4q{l%#$bsjeGj
z!7tnXWAcG@H+!}}f^R&qQ@ILfykpLahMS(g)(e22y$ch(2QM@5A0^{k)!U5H_VE6H
zjwXTdgRdbawlH;bO*y&VuAB-pRXFb4QUe+9THh7xQ6cfIb}y0ZsXI43mw<J645`B4
z!sx@|`{DW#yR;i{Z%JspAbch4ZY~)Q(>Twu3BVV}(=~3xUw$YDa>6$<f7+zNtVT>h
zyI|J7#nohZY|!$@HrRh*2R&(z)?;2dF~Vt$JdZM9cYmhOTi~n)*`lYgS=}Y0&G2a{
zWt}ImBTengRd3|~E+ex-nC~lx(h6+CZ91C|clbNy%);4|4wR(5Jlp?Tcm`$;a*-^B
z55!on^uvce+?8L#GzTht`e0KkkFIKXj|$EA&#=Vcm9aN)w~M)L2MNFD&h`rSo?nr9
z4f9322)=`Z&gzuc!7oM5pK5^1{{0Bghr<j^ZChcM$A{_i;Q3g6v1a(P@?OnYc#nXz
zJb6B(cDgl0!!%<GtK{>EpMNr)fX7Z={Z#`~zD~ZY2QLQQ;Udoi5!XXDO7NW>AGemk
zy8Q#g%CNHAU{(=)FhcbBVc4F*E{vq7ZI0WqBXF$b@tH@krrF+MRoIOGQGz?HRhu?&
z3|8U4LU9ESkvH`;f=|Aacxwa;S(<p5!y|j<MUCMR4HkMEm}TfcMooCgZI#v@4%k8I
zN!nvihl+<6;aavtQPN(z(N}PL!d0W{F{C{$;P5K(ht(AlOeo>K{qG7xVKbM%)1-at
z+)mBu2hUkE4lTkg!TR^F!Hc^6+vnl*xF#1Dc!TrbjlW3z8w|fLz{4&TwqtMxCr$%^
zJ0ylq^}|jQ2bpx?G)B{@UU+(!i?=$gEE_WL8UAOHxvT-dmZ0$JfWtL<&ndzlOQz;;
z;JmHMRw}T<j7>xxoGbQBN&==n5${(4r*8OCC<#YI@$V>yHO6T<_rhhh;Y-=D&L=%~
zQTXOp?z>rVH&saRZg_m_Z=>t5RAP@miLbVx{o)3EkoW111F+q4OVmYJDD-voA=v6K
z&(bCMZ9|L*$$yi6wFw9KigD~?lK)m-v3id1<wZN?qj0TyiOM;+fYqi(8*aV2@iCdN
zq+&jF$`Fng<xVn(Ki2I3d=h@Jbe_@z4q@NmYytCqi5@-%-@P<>{w#dLr(0VWuIhY2
zaUQ1596zD~F9baEcZB(e_ho3p-s%B6+~7lhq+^uegMLo2?!?VkR+M3uG$m1zzelb8
zdnMprS~`&cSdqC>?Eow)J5YNQmP;y^79pQ^sZ|PxHw;fF?}Pi6V!zyj`|O6Ualj%L
zIvu1w`Q2n0<%AXH`J7VWTFUyQKbTMcl*a!(6XvcSrCfk*^;dmzVSk0z*<Y}6<cq(g
zehR4;-XinW)uO}J+3@JT6yFheEg@|v2bQrb9sUj{=6HJ*z!lE}-jexn7QgW;#c*70
zv}h;1De(=%3-}a|8&@kVMR_ISC5%7DgnWd3y$yCZz)I_f>}ugEjVHYCVAdd&_hi0a
zzvV{RClby$eJ%{%-TgwW7k>O?uqhmF{+#yaJ1lo!GWjw*vMQ-O30o@bNV~!wbH^VK
z!t*&?6IyV-TpZs79BZ!=qzUtS<c1Hxd|y9W%fM9QUN?qGxGU9~G|cH1HT@M18EyV0
z28SM-y6_E-h@-k83h(LM)YT4~x_$861OFa4bBeT=zmG67?S{8Ixz)75DFI!S9I!%W
zqrwMx_kG)gJK;_CQ;Z~iCaI(aw!yFXm2Q*t`CuCOax3g$roUJM`-vOoZGodSl0C}c
zj)X^Ao8fnU&-+OJy|2&_na6t2!8qw2k{`9JnXk$E&|z+MwZ|~?QJ>-;aDaBut0(aJ
zM_;jWjro#KQTx*25|cv3A^59!)8h=-v1Lcs0L)tYW&3?tcU&i;9FCL73nTHfiaKU1
z;N8rbyieiH#*c;z;Nwr<q&|aHD@C-6;4MEYrOEHtQJ<H43iC5{7L~#d%3cqj!5eem
zYuCW6MT++x!Q0M_HrB#48nsKAF#G9V%O=?5LBK=`yd!nCmy{2#=6@&BV9ogncar`z
z3{}eUu-My`S@L{JY?aAQfNy%ug^}{Yz5FXa3O?CMN!<@$Hgs6O3x6J8P91||xSIL{
zVdFHq`=tD6pHR>UhAXQ#9hiehrp6BWz|O4H`F~)Y3eyx{c<v6R<{BLBnsLn;-YdWM
z9|fMzN47J5cYz~cEp}7G;S)Ob7I3E4$Y(m(%Bn!r5+3;4@5}<<q1NUyhBfYgoMeTU
z*q#TQz**rff!rj1?<X5An0-rzA0OQPdVlj#ScmcfiwN8+dOC71+$Y3MPx>nw=bz4r
zz<VROG7iHFdPOC)u>P6TNs92U;XfSoaQeP8lA7>NcdK7>STAK-$#|jzn{g%@&cl^K
z*(xXDEJ=E`U$A(;RgDo$somB41D?vU5IzoXZ9M*gtjBgpGiT|-{Y%^qLvY|f21X6I
zus_b^EBvMUWd!-YIboOCF8K2G@_F)mZUoLy4#I_=)K?YY3nH$q-{7;0^M$)%?}_og
z5!kw2Rhl2(YJdLO0BjQ|afzgFMMOu{I4q&%J4^aYR4X|~V=%|Chxt14$DW$eb_%{L
z^Rk!pm%N;c6Mn+<UkdVmz}yd*a>)8|o!z1&$^Ywv#XU3dY0e)TyWt=Onjg!s$%NST
zPB@USJ7fuVUlN)k^;y$aIEDi0DQsx(`W~Jtdeg9m@YQZ})oNIfhpuxo!YN!6-d4hf
z$1-U*!ed(_<4OHw=pWie2P+NL?;`DM+obn#YWPrm)sHxsCo}IfS&tsinsp)V`~ARt
z3mW*8N{6>29CP!wE?Lj6X-r&lg4L~LgVyo=Qq<w^%;3o=F1H1^m`PjfG|XDJL{IYf
z4z)^wA$&ja&2N&v;-`zAoq~rS=G-LtY5ORLRTpm2j`He(gMXVvlm6I}qZc#D&nJgY
ztdjnM*r8+dO>hid*5XlE?V9A?2Kdmg@Fvp#YC6lyUISli64#W2JsNiwzaVDf&HsOY
zftfb51ir~#BPNCLfA^@Ais9>ad2u4}Q;n7V&tStxM_EY!A+v?j<}qA5Bs9tnGe2HA
z`4H|(ueRodBl9**k^KiciBDRX;kZ8(1M#p#xSTdCT(h0go9ti63=k@!hwW+^oNmLW
z>4g$oVVMQq&5>|>LTch>IFO!yAp|!0v4@Qco;8(=3WmQ8G6t-BA-%d30)5~^ws+V5
z!59B}m0X2CP}sKqhWDliXI+Bhw+tSehGni~D_?|jpEi|@!70~^B<*3tA!VrvIR3-|
z3Ts%gcfq9<?$*+pF@sme?0<ZOZ`$<LoPsz0-6>cGCupqa>%!l=f-}nDsN$#o+AzZg
ziM~|W!vFIn^8Qr8k{I&`@IwRROtOFF$Tw55J20QdjW`*2fvMt26kIU-Ug8kk=bOZQ
z6CTs0;1`DzhW|u`!DZWzRg1z8bw4i$z}cMv&-cI<qavO`u;_`F9X#;#<1F^G@P+W3
z0zz;=vth~^IHyhAjKqJ%%XINLJSaWnK(1$et!hRGc1f1nNcQino=!4Tg(D^gnaKW~
zV_GV`DzNLA#51ygrz)6NLl*Yt`dUf$?=-BwZj^zQ(%h%W?|<48lq3jSud}Qx!tbMY
za|ysYL1z;bVC91wuXDm0Rk0;xzfMS^?5$n!=N&yKj=?Ni?0>ewxziWVoP>`o<y~Qf
zDa04=>BHw<xN5CmMSCh4{LmCGe7vc76`s+d{zCFcIkZ0c2W)=z*2o$7<?~ZKlW_jr
zw=rY5U9e(b4ID{(Y{3$ajMK_}0UL=}Tax@9j%?7s4=4Pnb2$h9kE8pJ=kjag0B$xY
zlvOekElJ7B-aBN=UJa`f%3eQNMFSaSWHqQHBMG6bvLZ8-QOQc7?B{cyKi{wWeD87Y
zbFO=x>wH7+7<VSa4#7iRWW3PJ!ym6)fpsSjk2%8ft=3Ck@Qww2U9vub4ZW#`@Whsz
zmZW{9D>&{pfd8iMxkbvewC?_`0M`zhrn|x)RUdiE!;f@+bU4AjKToR(!ND(ChROJ%
z|57I!1Yv#JEH=`9P0b#r?1Gh2>iDm~rRs;cIACU)EmdAHZSUsrZSa4g0?h&NIg_YO
zOfc2Jb4t=*8o#LZtzAKTxLVIh`crsHt>r2lWZ3OZ%KwX(rRaxeAAAnK3cvmSGPD<-
z{_gsR^sk1Fz+>0p3PC-}5LkNuN>Mb-q4Yy65M~lD3ipAto>wcA|ErySC$!lc{uZ=l
zFbo!=q`!0lR_*;VaUB-s37vC;IRog7BjC*V--+6=?td-zH{crWa~xW*_#>kZvj0_5
zhF$HKF&^Oi@E5ZG!>3xz+TaqMJFH}X)I9?Qs^G@bU3^jSeCtAf1<bMX!IbO|E5(Dr
ze7NA2=4ldtw39d~^Wc;#8S7+!7)R%vGGXK0u^g!|)3#6N)8X!+!J@nH)3Z;z@4$PW
zRkh~9X6`|s<6vD4I_Jl5=f_j3*I)tPe=|$)pi!WuKdfxnVY~uU^QZm^gG<$a2e9D!
zVNE0B8w}UH=pA8&?_M_B76n&3OU-h@EdgP15pc@nK2sieXeM3YCOl6U?MTKyy*W^y
z9}8z@`ZXPZ@27lKPK1pPeC<983)0fmCBOrpx@C{S{g=6{(%`Q(^4e1HCT8iOd$3Np
z^mA!AGR*LD4xG`KQ>hG_8Myw-f)`%o@~grbwg259^%sAE`Irt&Uz@m%)L)<V&Lmx!
zL-gsx7x0^q$Q%=x?{tMgAt^tS?tTiUp8sxE3)>2^2HC-f9?kYu!%J!V#_ZvL^|Y6o
z;Ej4|zn$TyPw3_v;FqNzD#`ubdeYH7eek0gtq)#s6XntD9@wh=YLYihrD^za92Rfh
zoEr>xi0T;qfLSK>FOmDppWSYui*WbW&q3GVay5IJe=zMP;S;g&6V>2jo6+7PdImgm
zVcK$qmo#vK#{&j(f4t?F2=5BYQ!E_ed;*_7%AU0ZTNYR8J%$fat$C8|kK4;z6~b9T
zgA3nbcS_s0<o>&FV_wQTc+Il4y$HU=6V3S+=6EKMUI4p^+nYXyFI|brC-?vTlJdO|
z;n5ex%;f&QU3pVLIQ&dt6K^>j_H|^9v?tCn@yKF0GV*bzJ$#SOC!qq4coW8N2fvsd
zv?tFGV&~0l)ZwTwmW$Q!{H>#3RpHN+PqHfEtj6sxMB&gky#;kJKFW)Vz%)D;M{D7Y
z-c1|!z_FX-XWzqmY^jmE;THi`*P7tEi?Orpu&;rC(nq*0)yjhnPI*iJp%s>UrJza+
zTfgJ&?S_;1x7Jg`0&HuHZ(y~^nM!vry#M0q;B0_jIn^p$gf}_Jht<GaL%c?H;7U%K
zTV#8EE9z%Xz&n}-1sY*@N6}VgIHBB9r59E*Z~3SIb4N!#Cgb}aCwy_zgg>X%w~_IE
zQ!)EyRN(kE3W+&*z(qWqtbaHl_#_RU_exx{qqN}Bf|?TY{Fk3nxZ4meig`1>7ZyBi
zzMquuV`M(LAN~_@y3!by`T5cE2uvS9qhJKLg$UFhg-@k3bX&slHIuE!Vb!{aW)^Vj
z1x;}&nC{2(83*{Jb)2OE92<Aq(+1AFw^CyW-!yflKL;zNyb!ww-;2piGKVDx<nN`z
zt^Jut$nQJiN{XMr(G?EIY+<>_+MLhe)0Xy)<o9(|n+}%3(lg~+XW`I^3pK^?_VtPv
z*09UO{?-bZm6t`#3TAtL{oHH#Neo*WIi53j<-Oj*eR57bq&`xrofXOZgxTzi=8|wN
z$2Q#txJs$IUjk-7-@;C|-+Zn@Hq{gNFU~IX58&KT+t+FE`lyp!Hr%CW78?Vv(ri6O
zj*oh3e#;G*o%;6s6!_1hUtZxbMU+I<ZJ5I+YAymkcCXs(7JN?ZKdT^kbEMM=^8O-L
zoc(h!e4^mrSOhHnn^DypW~0jL4T2r_rq}ww$2&i434nt&V-wE7htCSmxx%`MskdEV
z|CXj07kHn3+_F6^V&EU*0H5bz@pXi~TX=Ta!v!6iMl4|AmmLh|@W$3KJ1cn0v3*LW
zu<Nvo$O%|c{)?C%tl~EOTnDbcCGT_szW%-LKN<L9&AO!uJTopqB?n)aa=EDp^HuHa
z6olgykA+FXY^qlcgy8#)PWt5iiT-WF7#28VO;VM-Ke3v6NzVq4w?%G02yfL1Ra^1E
z{pL6O4ZN^Sz}L5{a5Gh72Pf<@le0bo>n`Tkv%qb0YXM{MnVUw-+u*;NoqC<H+GDwy
z%`j)j{+3VhuN{B(Y=m|GTS|Wm3z>|tt)oB5+|=N%BjxX9YpuXRcX#|Mf<LdM$dUf0
zB4~HM1eWD+x-<*lyDg-U0}G^`J~Ix>J#eqgh4XJKq<n*4oRhhk08dLQ#}2}hl)em!
zaOc!+OVYo2pYPQSfbV%7K1t$_0FPCDAiT4VKa9km>EFD`Zt!7u3GaIN_oyNJ1=#7S
zyc&sbXA2hejo~RtODPgxH+%1CGl7RrKIkIxJkr2Il@F$$>uDnK{`F{JEkAsgNv}Bz
z-e2~ib@3AN-L~GYz6*Q3{h_lAFSyuS$H5%BG`02c+2B_O<oaX8zeBMRHv6xACKSHF
z$X}8GU!inZj)s}_SdPcT`fFD^+~GEk^*f91hzIW^8k}IU6e`wb_-Jy)dvg8UaeW(a
z8{E5RvCA3$>9H-V1=bz@o^u8sq7E7;f(wV(o}Y&!yZvomz=BG}V=i#cB8PA$Jb9u2
zmj^sS$Mzxv&iZ!X+9jAnZ){f*tV*eM#~1!E^Evend~kchQ6HH9X8wj)_*T<<wJ7*j
z`%SuQuv{6_*9chO-_9cx?md(wN#eUOzhUTQm?!p42f5y`&K#I<BfqEVrkjD!U0L-w
z1FtboXHUWJOuIf?!J{JIUai8F%*tQPNqMfnMx=e^tZ`}@z^fOhY)Jh6`nkF3BrG?-
zyhsJF^F0*NAmzoTXz1agTgJs|u$$3h8fniWVn?~<;71{2k4Sred8{v820kD?qfFix
zDjX}`Bns;rcj=P%i5IIZqL0Dej|P6Q!NR*F{v3qk3ab8)@!p${_jw+GozmaNaKV(n
ziU)XLzqtEJ<oXeN&)9|=-pG}Gj30hkAl$$TZ(H+|CGR_zCYv=`;E>b+chY}v`-ShK
zhFzYW@E3+B=6O;n;ZyIl*~s<9_~Huf;zhjQe#^>Bt}m{>w<G?-lwRA*#bJ8=3%{n}
zW!vs|a`5m^%1cvlcz(N$EL_Aj)He#pUcKe43LB`Ow;X|IU7~16JTmXne%A-nA5&o@
z@v8Dhw^}c(`$F=O7QEtH{HzTQJTvoxT)z&zl@)G<OXo4r8}6rAqN;>x`~Le);-Nxh
zP}pnu#|fu>#_(*9v`HR()_$w76?`MDvilLNWWUyA0aGm9Q@9ULIi`Lh@z+O>vnCxr
zB;}T61J?$Xu3Uu`3)i2Vg@>y}1H<6pw!yECu%GU%o(H__b8eEv_mLKtc6azw?|vgv
zp00kxQx6uAy>ER1zCLWZpab_$TG*b0?`(KR#Ruo=Ry$uLcG(}s3-h%`yE?%+GoCjW
zF5rIt$mh%MFi+a#wt0Bo0-+w>TN-qtAD%u&tLFtf7|b{K!j6MWKRjR+#&+>`cp+2j
zj~^T+rTnrLE*L)?;|qry^6=KfU+<nv423^1#Ad#OM*~g?hrkp6In!6bC0sY8qhQ(A
zPuI&~y1N0N$o0=Zqj0_u9+sn@ONVp22YjBw@n2?Q(%?3`*TXsR)#SFO7Fe<9!Owee
zj3t$D8ywF3E`%&+IeGomFZfVoX?Qwpm#+P18h$-|Z{`m1#<Q#Bd&lG9){6<Sgy`^5
z@;#(;HAN{5_H3DxT7fUgysr&~Y4Zy@mtgwU0zqH+yGZ3A6~3qZct7yO8|Hs<#hVh&
z`BBSu5iZyh97@LLzfqq`JP+T_nkn7@D}FC?vVw!PXQ~)ruB%^uTEIevIj6S5{Tu5I
z4dM15=?<*$n%K`yeYiM$Q{r~m<9=zb0{lsLDT4#HVd&W}4;z29?PP~9$K)&?hH08L
z2YKKllC{2q@DcH++qmGN_cu@Mf&(35ckP8Ql;kz<ge^X2{n!nkD6-i^0n3D3`F#Ku
zzV02hb{_Ay9QyX|gLUq!T1>&|(m6+j;O#FhK2N}>=ZqQ!;agrxsw41v8ApdGT*hf!
z_Z5E0(BLWpn~TdF>4o2NYXmF9_7Nt+UGPPtnVm{-Zk}99Gdz~|h))ZSHCEg80oF~P
zGa=v47O2^$UcnV?xwd+6+vKkEW$+&7gu~kKw)oD6>F^U9DG8E~;O5+YFb#Ig`IxE$
z&xTxX_JfVh&OR`P_2;hW`ohfI4oc*E98=l*&%fL-o}&4cHrbxme23KxJTWEk|NIBJ
z_2eUiut&R3B>Daq;hSFY8J0bGbPw6SVPWXbPPo-5BIO1AQ`9o&4Qvq2AX*6jT2N<r
z33FY0sMiE5DrVh$0n7i`JKg~MzrMNn7~bj<xZDGamoP3rfbAa7$9KbAGHVX$@Dm}<
zH1hp+MC#>eD*T-8mc$_ZmGgm40_+h`sPGN;%eQKYgAXt8_l?50f1Z%I20NK5j!eRo
z^b{|nVDH{NY(L?i$-yXZ_|tiDp5O566F2Ctz)yQv4QAkS#q*y}!*ZFsEy(w0wy(Ra
z9N~!c*g5k3`D`qGodx{RG=6mz&aEs~GlywLT#qip(}4*)G~r9FPLkC4zWr=kCRrVh
zvFiLtzISI+9;T9q6OVuB-wdCiY7do#i^ftJHo`qI&y57(ee>7Z$#@)w7K2X$urSM9
z0U1AZUrkwV53I9&u#6RMV*gsX8`f-5GGu|>C)@Y$fVY?Lw<P0n;&fdfvcVf!qUSka
z%^<673~<Pd)7l>R?4`L|TVSuT#zgXc{^<JH5;dH+C-4y&fAfBP(+UNA?U2Z4A^3RR
zRP&50?sqz<$HZZ4S6|&}STn;iPz<)*>Q*`iKNUX^LB`))S6Pr4g}-J5?k3}J?kSFE
z^uu)fR1cEzH=j3O;O&F04ky<r!K?Q6(e1F_ee?HPu-@xYx;D5$HQ!Ma4s-AEsE5NJ
zo^#WOe^{8#y@Q2*mTou+A92&Rs({(V_wKNTv()6QU%~&(&p)>&wil^?4u50{cu&SV
z7<7kfJb~MG${!=+YYd-V8!Cp+tfnbP!rpeqUkc&t?M{!Q;E*WGE9J0_@2(fO;Cm6T
z{+7XSZ6<cc!NyPD#MZ#FF6n#j!eU=`GFHRi>^!5$_?HY?p4>)QxF@&b100**|KJTg
zd9~bxj1P%U?_+ui4<9~bL&k@6QnBAEfw_IW|Fy$^^x2lk{x&djQ})4uYI?r;aP+^!
zDLruYtnNq_JQ>iE`2~)<66TNzOVfOo9)kY`hJ8qePkCQa`3|$(DLIh@UuVB@c@z$&
zE9H)Wliu(KO~NnizNKA-tB)FtknxaT_I^`xfYt7HPE5luIaq4#;L+~olAo~2o$YJt
za8HGM70E|o@RbWxBg==9qe*!>4w*7R*hP^#ZUN4pJS}+${-YsiP0BA6*n4h+#r8#=
zS%O0^Mb9z98q6<*N%_qd;YSu+@V(ZRT51grr_X;j2eZoy(US7VcRcvn2g|cu+Dh_Y
z@=KeXdtrKpXYMOlZfsb?PzwLd8TKLLN3Y%-jV*>x9@#fY*0=q2@3A;|Z?xvO4OmW@
zxKwxxb}N75PnJKc8a-eQcb)kVMwa&^&_1$+T{)dc$^LJgeR^ip8P`KSg-NnM+{ZtC
z8-~+_9j`9Jlv>SteK6Z@+60n+V>ZZevK!v_eUH#4_}kLPvKH7kb4rW}KCHnf*$hA5
zxVe?&-xR&!%zO)%7q)b<!I|lzdurj`CEqWw!rY!h*IvP+Cm&uR`8cmemFUahfZvr&
zoUjn9tY-nd?(e&UANFO}oqGy@d>#9I5Bwub!zveMlTa-afJY=u2C`v6R#St6u;y-k
zwR^B=&?a+XctzEsE(I2DJ#bwJp7zsEih{RYY>yL%xrWVlM8ZOOGw;awUl#$rpO@jq
z&>PLtFk8E!vlp>xZX8*E<JxK^E!;XRew`P7>-|e^BV1-2P)WuETW%d-T5!U6?Iq??
za{NqNn{NJv8wPKOZil~KdiZ_-o-`5hqk|u4-q0R`+oVN(s9~kEI%Y+%z`rr~Wt@*M
zrGh=haQW}_%vso#yRyUwKIrItcO0&{7BB7x|JkN~mW=<kl(%-bgXb^1pPzz92BKzd
zVA*c!`=tHvbUt0H3mbaweMs5^r)I3O4(u}Rsz}zKr0Aco0`KsT(je`@r|`a@GOR$u
z>POnQ_@=-$VVJY&KqzT%iDemqM`3x{!XmQ2vb+H&dEn7QU2VH?JOwhNCwIcG8yK89
z;JT-sWlZp5C1cPrn0ol1<QDj9z3dKhz9hF!WKzR{jYsz>!X~RTnG~?kOS39@m`Y@X
z{@*#g4+}g|rw-Q$eYv&(3(O|{Q-OQd>a51#%9;PxPry3T)dM52smH@4ZMf)Dky<~T
zWgnYv2#aRt)%C(#TmL!h!AD}lDc`^)av$AE{ucKMzmQ5e)N@C+5&S~m-tY<B#yS4j
z61F>O)R6}d=<8o5`CaT+gcxqa^}ehDB)?1XG<WPx_@cP^Gb{Mc4;tGb_)rpS$!R#2
z{r6A+?5iNI=Lkn$8`JQDcgIZ{yTUmqS{poIw?4WVXZRdvt*{GB$^Cl%5}beG(Q_x*
zkftZr9TvZv%3%i^u^qV=0w-zOa9G1dBPwFSaB`5*f5tFh;ZNyE_*LH#Y9shA_gZH-
z{GaPyS8cd_o6k%xOmoH6MHRj}9~hYfmtJ)2l!3D{*ls+5hf@TNq~ZH~90&4Y`(OMO
z$KY30`9ei-NB+2sFsx}<cKazT6WsKL0q%M!om>JR=#R183h(i^JwldGUOCm(dlvmi
z`n?!g{=S9NqzAU!vvTYiT%9{%{{)VlGmtEWd$gVo=fPr<UNkS@?zvd5+pu*^6<s-8
z9;ugl6W;WdViVb)aG4#CPs3e%8Y#*Ca?2YDoP`<f`OlE!4R_~hQGvOYbX>{)JUjSJ
zM;ZRO{aG8yhwJ_JbappPRaxIv0EftWy7R!t6c;y<^5-_1DKo&g_HAY)`!ABtQM(0}
z(l_XP4hK)nto}ZO_FQKCh2+oe^(Y9Kg+o51=M}@cU&3B?!}X<io>#yvrpm{=V3`+R
z{Ym+nF*c9a@H5^Iq1EsnosQqH;B?v@x}^O3<($L!VTZr-hVS6*hPF@A;YCS?DUv@C
ztDw)82;b%U{`)<AR$$Ye1bCMu%icyf-s$JrF!+M$s6abh7@zh%6jrijv}%EA#)8Y-
zVe_&s`!4c({bQ0B;kC%0%OrmzFOM(tEWEihpK<_x`na9<4D731nbHs6w5^S{g8hR1
zGDcvL-)?l4aMg`y$ziyJ+SbDmeqE^~{}ZM-u<?&R+~=m(^8?<KuxOzP&%AdWr$9c+
z-_t#PDsWH!+0b<?=f3_ySq8?u!g1_azU~@XBLQpdI={37elB(UlmhJkyN32493qo#
zCJPrXceo0`_fO@|sKReY1-zx;xtRQEC79ub$`Hw~@mngqstu<c(D-EtzjWSCgD(sU
zR37I|Nj_Z56}G#2aF)(4D=XNeB$PuJmOC*!Px5*8ng#tw*3TU)Pf79xnTAe;lJ$T0
zVoY&{Wv^*XNW%LE3eriwP*g{r^KqE(bl`D!*s=dn#}Qbwl0(i1zE-l)PzVnCHr90o
zX6M-OdM|uKIN&qMM`Mq)mF9<OmQ=k0VMBGB>|HRmM2~McETU1u#{pNRr!ilJc^rzb
zZ-X!9mU5H)r&s6At}(!=|E`qA!3W~a=4jy#(XbklKUN(x`I`zhJNf=#4*Y;_B8nci
zPVE&fhNs2dA~(Sw0uJ6Qf&WrD^N{tcn-$)#gzXfv(-`4)wT+uezLyhShS&~xDEKx*
z1I!TcsfZ1Z3YhdF`C(gB+q8M${p`Me?eOR%#d|JzSD2(0$tTO(JNJ*&$8OPPz0YvF
zA&>WAnBO&-dk7X7X3Uj?6OM`Se~07mi0vikKjzNQ>Pfg|8&il4tn~F({T!S)Ekt1r
z+a$W3UV;n!C@q6w|1*1BsK#+U3*Olu2y?&Yk)nkoF0XI83CEu~q0I&JycGz)2D436
zkL-d=)+J|1e^O`m8s~#2#}v+oz?G`h`g>u^<)gIGq<j~Ty)1leQ6TgxTpJj^Bn`j%
zB{Sg<_h^VxsKCr;MV$R${@Y1OO7NvusvVc$Djmf%Ex4!lxB=;}&n2?NHDNjr?ecSQ
z=ct;DJ{-a*Ek*jP$A#QZJvfp>H;WuEKZ9zYDa@=TwTJXqFUibHCh$yw&NU;rq*2=2
z8ouQrPDlD{b;2DcD_BKb%R>uJWIx1q8m7H|<hKU=R%1ZT9v<*AeM|b|dFMa+m*D!S
z9W|nG%MSIQ7vVoPhYtzD5$8|N2g9!RLkAAR%Nx>Sg5b-_^S5@xhd;8VCBnx4IWTa-
z3~A=#ci@xUepi@b`zPB>>)_&s$qRJw<AbA>^{_m1`v$VyCAwmU@h83qu-f{P_N>)Z
zXu1uS9F^Th+PiC>k()4VTdzS++V5R1^H0a%pm4rSCRqK(%`q)FBq)$;3w$IXQ|AQy
zdcdTJ1zx|Ce$JElhO*#RxXJBZn-?4`w4;_4)|nRQ3V^4I-4sdr7ahiOLGT^}#U64z
zch5!XCc;#r`wdBd2)8l(mH^++F@8<@%OCaavpI13tNxc{`y&UtBD3KT3Hm)Wu-nLy
z*nId&y+#J<pUFx^6^~$!eGf0qp2qWr1a0ken16Bj*9@#z^v=8h&g<K5{vAG?vd#7-
ztgWckGX}Glwf-%ETLXO+2jDX|*;Xsz4L(n+`r#K&Hw0h9Ps|u^H^E!{n}y%PO$iE2
zjqnxm$i^CYR>Ixq4Xh(o-O>a<-<1Bh5`Lv6vQ`f#Jf~=S0+&QNP`AO_?+$6?!&O5Z
zcUxe(50=j{2b_W`lUha>?Bo%4BopS?v@G!n-rZH4lne_B@X8Lrhqm>xCBYrF9i9Df
zZ!3N94cNPTu6G1ZP7_><ffu&txDUfJW!7h}!bf*hU;YW_@A4n}500Hb&oB;a-+rp=
z2ir|vWuApSBO5;Wz}YUsc{4Db#j=<?%wnWm@E4vQ-Bxq~R`!}yUw{LcRk_Z>MtX}U
z)?i*?v%9C^%iA+XSK#dOYcy7{;NXLCnhC7W?QW<Atgd__gc=SvY@INGb13w}>EWWJ
zekXl+!`b-aO|WE>vWx;eX%qX3363_<c_jx+*&Q)pgm0&Y@QK4++We;MaA8@*eNk9s
zre>NIeq#HYP7scKU-*X$zRy$@DF81r>0RT5<C*7XdEqTXk~jHbThl)mcEiba9sBuU
zm68L!?67NincyLKGKSxj4d!Ihe|r#a)WA1JxTspVQ5e=KGLYK>$4u4P9)-EzM?Rp2
zr*3ARJ`RU81?;7Q7p%or#YuVDqS!@8+%L}2Q^~`3+H$u1gS!NUgk|6?4(6e6aR2JE
zm<lXDi?jha_T05*CD^~=c-?2%^^nm=Eto=tU!@;*JpR>56P7$<@#G`SGnIW_AAanp
ze5f5B$SP0Og_DjHu2#YE@s~4AU`O{vze?C%jzY>9X4%|2S`5?hmdIJbJ%a`IMey})
zb#CVHlS{kBvS5{?9+&Ll_G{~f_hF%}bduKa(AC`O2w1i7vFsTbe;4B#4u8=W{^STR
zE0uo=fLDe;^t!@-hT{$WVXYTko1Ee2k7)L}z%Rm`wqAmF#`I@7!R{54*%#rwOy;e2
zu;8x^PlI8d%O#tv;WFkh)gV|namL*k{t~du@&RlkQS(g)Hg}8olLL>suj#46OLceo
z*I>#7+7eNCSB_cCI;`1NeL@z#d+>1z`y`$ZgpJ-Ehx>v(sCUAw^bD4YaFVF;mV@w+
zBaNvXd|q$AmjLW>?e&xz+&ShOsssy2Y(1ky>~m^D8ID@6S<!;Kne+cyz~{0iJxO_5
z-b6bq*q1hgUJvGo@o{#8H^-jbZ~~sUa_cw`pOU3YHG=y#)_e(vxsLo~ISJ3`*Jwt<
zl>W(iX0T#-n8ic*QRwXq1DI_+{_P{!p+Zi=0^XT5(q0Y68-I9e0t+QjNY}zI4qsNa
zfw#YTbz%e_eZ3%g3jXosd+{iIKQy(C)c-^OqqQrrM0K0G6<o*WEVu>>@OurOhQAg*
zmt>p5_1-$fn3UJ5`<uxQcUtpJlJiM_<6)5m%;Wxd$N?5_U*nR51FY{{c7>y&yY^|q
zla6ODlJZG6#cpcBtm)JnFTrm+wR11QXB`!;IKvyNDj7ZDrvBco9&pAhTi$qBk7ky_
zjkseZIsv|WE+WwjKC!nbE(hjX`gfD8Pn8NO$S`$Y%zi((r0)^sGnnVDe6|nFPT$=5
z96pqJrac<wnV0D;gHN(E>qf!1H9D2bVGp;Q(OYnRteSc)9L%m`cN6~hYq;Po%;G%w
zHwjjbGcEoA(`trzCc<nqi`*?Rb<#Ha3^<AEB3~EWo%bvv4c;5d7Sj!@{FUQ=05^QT
zacc;kmG4Q(fmvOom%qSoBhCmvg{6apX=dU4v)2Uj;F|U^x8Lx$W%lY9u-rBKOG_|k
zT$XGh95=b^^D<n_cck+b%uRLo3-vUv|1-rW%V6zGr?hC{Vt<A2)$s60pYB%pdO(fC
z8+gJ#?Ii>JdBcgN2KZHWb~QJ=V50Qr9lYzu#Y4N{6v3vb7Fg@${E-82pP$@@X7~<W
zeeyxLQRm&gPq5qO&P+)-Ln<TTBh0(|=@x1Dli6ND67Q;X#kVQLt_#;5_QK~qS^ZSt
zpG=rW4_;bJ4>|$MjkuS8fgg*6jqAYFOLO|;@a6~iep|t_laIAXyp_m^vb2GR^aQ_7
z!xT~Mc4uMli@{b?Fx#IMQD<1NKR9}gl%KjOc?q@-Zr!j7*B<z9s~0RJ(=5V(crP!?
zwLJj-bDFJyTpw1pa{33t(roc+tgwOC%iwVMv1d;WGu)j~Z4^by`?SyS!x1|jPvO7o
z-~6y-a^-`~UC!6uhR2>?qaxS0L3!qe6xhG<T_Cx>&1UR5b`O5Yp};BvE4Md_XTyDG
zylx4@X^MjxIk0Ha^nNM$RdYnn6L?*eC;K>TuXCUA85|OrD5VIii|MeG!lNR!CGxQH
zTbIC>aI}w<js`rjk>kHNq`ZS&qZ;g#W^Y;x+sElFn8J2{*eu_}<&+mLnZQPtu18y7
zpHQ=Oa{rKCvrnuGKIrAS>kQ0cO+PyfoA-F1egV(LADQff@3A|K7s0lAg91Zv@3xZs
z7I+u^!rpG!TP^Kq8yq>{wA2e%QUqIlg&R7&=iA}SzNfzq!`7KU8$02fYU&JgFiXd;
zw;y0@T7ld1a80Uhax1JeLSMB3_nV(LS;yDI0^cW;$o+Fd>-%#}@IqJfg`M!a=NpF_
zcz`GG4|)Eydo<rnjz2<+Gnx;cmm6y+houiJY$eaLC7LHvD`EDL9w~7+c&A8G3EW6q
zP)VLAx@R1zNd2xQ@EVin`^sl(tK@um>df~j!kTNj?S=5!jviX_yrTOr=)+^UyY*2N
zd7kmT_*6U}zV~j|Zt}bnYaS|0&VP-``2U}WvM)cqOU^&{Ba8n(FTFb%a3>X}Y~5RV
z4&^JE9#Evia{)<4<az5`-^JxSaMW>|9`Za^E|+vV31(CIc%D439X++%A`;$FZ*-YF
zKh``}d`H@^`%uG{2>4Rj#A7>{p+qY^7S`xmW^sUDOjL`J_cvV6o-ta$(S1&3N$^tC
zhY`{r&*qtZdj#LVcV*BRUL9O@%7Zh^!!%4`312UYB3RB!Kv@sAQ(_M*hEs0ngc!nX
zM*`Jb;b*Mh{j_18Nv`*8@XeOlF%l1KlN0QE;b@icFC<>f{uCbTgXK+=iqv6_Jl^e-
z@P`fj&*Wh<#qxwHINA2lPDNPONJMY}UR!_8Oybj0VB@pDu=Z+6fE4UKt*AzU_hsSN
zk9!}3i=K2gQo=firH4h}79Sm3I@m0~^z$M3YV+q2did6_Qnkad@Pe@~3+!ZbL~$={
zIrw#z6=qaFoVO2t=wK1g4L{3C&mr+u?aK%|d7oE)^e!WbuYxsJPY=Ll9-cHz@bw0V
z;zRI@38(Yh;KQYZ+M+N+TidzK@J|KHRxy~$EQg5^&h=J5Xa?Wiv_iKL-uIw3{}kNn
zEm*-1+gabBA@4ueYWZpf;jGs*AzR@0=Ym|w@fw-5_6fmCVqxy2KE}FbO%KC1YQxXu
zU`pMa9O|&d>gE~~SbFjG4J9~{Z_t#S?^D-w7bW4i`B5v<9$IAbypF?1t4jWm_L6r<
zcIXJK@%`nx3v7CKqFWHQObtsQ@mVx6P>~-#-0Sot8t(p)e~cSGzLw8^9sYHQy>TDh
zKbgiy;^pLt_-a0QoR?lN88#QKiQf(fWiJ`shwm*fGi`%wIvs=4;OO~-qwA=T+8f&8
zxo`xfo$VUz{%>s;>0bfD{~G7vq|7h8B)(3yA5xoxxmi_oNPq25G~YP_zyHf=NcuBl
zz_o<0@MFs69|bTaGv7LSUmV?$F-_t@@%58_-S9%NZWxKjE<ry=Ti|EKB?%;6rJI<a
zYJ#^4vQUtCw`}lc<|E9PFicD0VSv?uOFR5}^<iH>Ji3&dGz>TR1bi8RXCo_F$o3gs
zziExZs|WYwjl-TQ6(^_QuM?vCf51#RDSLmxNgo#t7hx}6Lt%;;JdY_domhaq)!yHw
zgg<v(947VAS$FlpHn`u*t8W>O7u_Js1RE%_sr-TOmkcQFfCJf?-^{|i4Hi9Y@LTz!
zgJk<ldg~+m;OmQ-yx-sg-77wO;Vnm0uMNO~M#@2l;m6x0HhzXT{(Z?J2(M)KUhII!
zCxSRcVQH?0Npk$!$NoG!20LzXF=>QV*@}y$;1fGdKGwsL6#KL#VfE9C(p9j|i8K>U
z_}TThBCp{UzRi>B@b|HEsV`umWY52*u*^DtLIG@P-Fw{xE;-$__5iLGzLj+uPTa~e
zeII^)<;QU^SbDhJG#QROc+~wJe8;R`Fd81Znsm1Ye%mHN;R6e~3fymkb$|ExU4eg1
zSc*5o=j|fK&cim<<I?T$0Q+7$H<;H^`%DWgX&EYN317a{>e2<Xm~j=D!+{BF6rbP|
zhd=BzfGOhwHVnXQl@19fVJGv)cl%+1U)$H!VQzK)`y=oe>jPgkc)Czmd>HP@HW`(L
zdtz&)f5KO7zT3#aZ0QqiKVW0+#6}UgvahlKAI#kP<jqm|qxd7WC0HnQ#Y7U8_Keb}
z`-S)U;*`4Luu`J?YkIgxRCiPk=5`#ZW`?<n8*Rw;mJ{0qS>XfESQk`b-8U-7xL_@Z
z>+a-x2Q95cDmTn<s(Ygj-2HsdLm}8>Yw4OMoKnHXd=xg+rAQ#hUmz9CrvaZ@5!$E=
zKdFs~)r6mRd!?Gd3sY-x`fy5T`wnCHdj$Qu0i2r0{>%!F*m{-50yg}7UVzkh?604@
z?BVpH+MN;ba=$g3Ieg&ng|tZ6k?X#xH5{8JWtRy{UfX0~0(*9kj%C5Q{n~M)e0KWN
zhZS)7``j3^y^$7^!=ydFrR{JqhLxEIPPM^$LVK-s;DeE&gQR^6p4AgQNj$WPp2U}3
z4M{@e_)3!VZj8d^>u+eZVGHVGuStAbNupd=g2SjkD*S~FTK9iag+B$Exotwc>&&oe
zm4#E^&ChOzTR;7mqX4HE`E&1rgNF*!kHi0l*s?g`hEI?7ll|TPUzSKI+?QE#m>kdf
zYb#HSVFQL8G*)ourpx_xaPyQf-D!9vuF>Qj{At+H>kRD5Pdn8NuW^O=ork{-8=m_B
zck!2fy8v&$5WCh1ds!V?zX2QENS$bbPo;P`-+~8eK819{29)`i@55@>mApxL+@*ib
zgfmZgGYr5H=Ov~K;SJQCG=1;`nOmod;C&36?heCl+yyqT;cA8>Y+vD^HHP;Uusf@L
z{y6+r`e^$**j6)a{|~tNaJ)=Cd`G*a;ujoKSE|$s_ZD^>pMis2K3a6aOb+k%bKrY$
zgVaX*L0DO;KXV7XwbHkF2p%8ZEXfNu|9IZ<9k!m~C?emZj|B?IkHc3JG_(%D=V%;N
zXW`==M(_5)b9rA2e#3p9Ar?pA)EKVPCAfYpvg<JHVaXr63R`~|qLPQrPo9aVoyGaB
z`Whe$Kff}wz5%{YvxP+srmh#+zzDAhY`#Ihr>7_A4{U>XnOT$@!@_^>j_ib6C=A7o
zV6FRguQ=hrfK2<-FgGiEH9zd}Fn+)RmJ=ux+y|dIUhd%vdoI$52*Lh$9!@*Mb6IM1
z!tnJ|e>nVMm#gVal5neJe}XUE&7tNm1^;wiKlC4*XL>(W304mt&JBSh*H26<!;MdA
zWuxJu#K&{mu=M;$DN-dAHXB&j>cCt)8+32MQL5!<jN$C0p@ti<<#zXvCh%|tg-sHC
z*si0;8uoSm)O!aGSBO=yh1svoUr2{}Bu(@$!e@kToxTT8f8AN(4qGNaTh4}SdPf>V
z;8thJ+50fli2||zVCLN>5s%?zC4Z$jIG3lz{{h?@sQ)w`KEgA;y#T(k{Jp*iengkE
z`Uu`PN^SW9HfX(m_W$cUYj0l;+lU<-Ci`<^&TpX%b~5ESkqCD=ep;!96AfP1CBR;L
zY4=vauU4<8gu&V$j1SeryX6I0Nqu^(yHve{MH^UxNPQQ@mA-3+>(dGrz2P30_oqI<
zGFOuwF2a#h+iW}G#b3gM=i#T$d~+Y+_oBNr&cJQGj!S)Tg;+t2BfRVrwx<Vn;{WfC
zA>7APao`J_?ZUdv0RE=*{`DXnz_#wI2`hK4)qI10|BjhghtH<bnU2Bxm#^56_N&1o
zX*C7+xKj6#_IvHR((DB6{BcTI44z$b`TGa9>h-D=fp7Zx@yx;@^xC)gz+ZRY+q(#V
zG;7;J`kRVqX4zlZVQ=|m(jO1jS5&RTs~cr!+28~5b>COuotv27(ZY<@y;C&5@%$rv
zTb>3kWd9sO4W~N>JX%J7A8MgX;e%C64ddovw;8q#dtsfb(+Ah!AKl_RWZ_e4$w`aw
z)D^ujIau)fLm?`xkIUxtO<lNQ&4zCs%Xc<}ujs*H<8EaevAjF}A;URX`jO26GTy`_
zpv%_@&J}d2q=)(63<tZzLcN8@>EONPtW%fZY}1OC?QmtX@M0*uaapdG5pJ<^I~@kA
z)~cT($FCxJ%{?9#ODNT0g`MhJ2NGb32bCjSa8laLcn<vV0cQ`1XT5VWCJ*4#)O*hJ
z!6#yLEuX;^2ef{W`aQCc(NF-p1?dI~z{NrJoo`@0mRpzh!*8GOQLKUUisCkr@i;A+
z66#H`82{5yAvpGX;*0mNZ`HFM67bZqXJsAmKf8Cg$@ylG^Sj*zM@ZFGlK7>Wl9V(E
z=UR6iSA|P$X=uN|Gj~6=knuu_?ELgU;KkoxG)};?dpC~$go79dJgs2kDZ!t=VeTKp
z(-tsC|D7X$VTb6R0x$TtQ=Qm4EG^O_;0c!nsAf|9A@_eBZ%F*=IdkRVCit9Uixe5(
zv@)}CdJDYJT)q+y-_1~-V}a{@3NFXNW7j7ncfuPfl8--uS!sn8c;R8ch{8O0+UVES
zy>RWav*$aw@MU@s7t9<VxKsx#nEVswgHOFRF&Kv*g(e=_MZCeO=O=tM_AL!J92IRu
zvjXE<vBnBtWOj^Rh5u57ckh5T^Yls>Fdob(nYo<_-s)#5!vuRhk$KDvC+^cY#|szu
zRcFz|;<5(Qd*B<VjF`5<#cCR1hhQI;&ds!N!*5->!|?W^D80?_prG&vHMnzXMS~LF
z-!5jL0YA;U+)0)nO`8AY2baCr*}n}AeLtz^3tvq%DkAk|Y2V>@4Q4A_eZ>iPvb~!p
z<KY@6Gxn3?lMpGrb{oc+D4~6@EJrr&Ets=lE@eM_K{(-VGW;++^ZpTdRV#os30_EA
z^F0R3?6OjP1k;2RhDgDK#q#A3;3kh<7P9cMPR{QyVQaTfcB=5e%%W{6T>0=uiyAzm
z_kE!Xez&6iNf%~GtGZYT4`|aXorK5#<!z{k4VD@;%-{&0px}4#0jt>JQ}FIqXEriE
zanl*S*LLu+P|2Gg;LOiE4m!Y*ANlrug2&}QA8~=VzMM+$fSsTFZaxoRT&j9c#zzY6
zQ(?Lc_uGc4j=;RUI|Hu3-wa&)C*VB$XVDRG=(+DLKj7p8F@GcB(yV63S=ea))Y?sW
z&>(DZ20qX#<8m8*7wP2r4;Ejbzmx)>blx?+07nT8Xs5!(S4MVj!g$TiXA2E-;4OVO
z;x@o>?=q@#;qd2|4l=^FX5MvAVG%WstgY~PlZ!|Jd}_zaaW;6pR8{IFY(A7$$O6a8
z$vr58_vHs^aKS&Xay+euujFvm?1IB~@7PrfkGig!^1}zbrB(ir-#42GljS#FoqRqA
ztFj-f=Y#LQpsu2s!~J>M;a9t1<!WBR4e-CC8&4jD9mZFVF~FHS0vq?kBJ{g67-6bh
z6Pu&3bIfWkJ3LX<&?5xjRr8(R1&dhfrf9&zx9sNm;1!iu%<AyAzcsD<;LhCB@@DXu
zK|z-g%*FKKr3oy9C~+8WmioI#7Y<)pxMmESa#n<>!M`8MEt<evePY@5;NDMs6gF_Z
z<ma0@aLS#FZnp5RoB8|5`WV#Z{4T<2=2ANiVcm|nAMUWn(xzt?FiU{LLI|w<E9^em
zpZ?BjhyUQ$J^B)MaD0wUP!=qg&&o;48@T`8mI?ok)($s-6Uv|S6vD$t?s${^@w+Tn
zSOD8{HxHBjjWF9$_7aZ!H)){?zbMPpE`{k-`RiohSUN7-R``p8oA7aXDJ%7NGrX*u
zd-n*Or7TV{2s^dZ#t6a}J`~*k44Y1_{w3${$f+yIqwtu>M)y7NnaG(#BXHX@#r~ae
z#V&WrKXAIPW;1C|9#SLkXJN;_FbM|u_)pVb%6T%rD&QbJ9P+Q$g#u39^eT=DrrQ-8
zz8ij-<9}rZ?OQZ&at9B*R#g7=53I?Y#IqmPXvj4G4YO#?J>Lu878`y$4sVN>uM&gz
zx#pC7gP*=i&=-X*$H#UL!pZl<%w*t4TWXR&!{42veoDbZ->GOiVZIBKG#2p7y*l5?
z_~d2(2bV12hS1FcUGULs3O<f-EJyo1DIZC9wdNdb%}-T24gc!?Qf>=-X3EI@g6mkG
ze>n>)rhO40{lQvAjOr$Q{8>miGdwHAc<~m@nJ&S}3IE{n3b+q{V~^QN>T~Rq=|m>n
zsi&C53uk+8`TZEyIy$zC^q)5RePNGa`^UoJ?67^)f49ouc)#;kNdL{%N#uJ8zo&iu
zmDIPNlY+n-ICjCvoDMFD(|=tF4-RI&rG!^f=4<NUH>Z!wQotgvG{*1XL;2wk{^EG-
zX}m9t!OPwyQ6yf8FnAAqgN>a}^DM#M3aq2k|Ns5BL=vwCtT_yR!A$z`hspXk|12~6
z2mcqyl)H}Qo4MZBEy4{B71AVr?Vvo<Ou2yisue9F@vBV3OPU(?%>1HB;#Yy=YYk@j
z>Z59@E%56roh2-ARGUj1Io`-9uDASf8?|)xHhAMXxnuj_q)Q_v9B}xBD0y*s>&Far
zQeOc(Up$e3<091uc;M~6_Txct7DE&JcKF`(Q_~PQ{IK&A^84TAKOJwuv^Gtt<oD~#
z@*TI~EAP&Ukn^#xGT=)lyq&L<kHpIe5$TE?_^-e(T@tS<JcnwZz<%!;>q-C8Z+nzc
z0C#Y!{g#ERcN;x;2~W$}I+OmIyuFI`6>M;PX<Y@5D0ktkfwiI;y_I3-{W^<pVLwjA
zEF(B>Xnp+yygGGq7l}Vxk4=AWg=5|asX4+I7js9t;ai;1mG*G%vCKDpu#alVxCgAU
z*{*&VUSut|y96I_9u*sf*_QPF`oc2FIWm*5&5GUyA2@5Ibmt8G&EZN)G(5)}wEHid
zGUmQL3idNhTU~_DCf$)ufw$aup`rSV=hftE#YwR28ifZn9A3kzeIJ(0Zu6ms_2;+L
zro;JcE<d)wi|nap4`D`D*%=nt$3L<y7k+>5vlSa$k;H!H8GP$cfg?9OErfrpfKzW8
zcksaPRjzxKz-Mn#emw%;d8zI20?u4~swWKRu=e~bhbg<S1UbQCeHY}P!}RA1n9jkR
z);}JR?XN}NId&8Nrh0*b>~F_pMQtq1{QIXfIi7c7i`}^}uTO7#9K3tsv)V)0zu4mJ
zJ(#CM<w6h4n*C0cEO(Pq80>|mt(2SY!W(moCdT0p=Tyqb`ht63noq!$=ica&?Y%4Y
zwEF`KZI`Me^;1m|*ft0I(HC2g{re&=)4c)*d^^}d>ZifLym%eXyTY|b@<T2qa=+gA
z592M{uX~aDP`js@LI<lo3CO62{b!i(Z->Rgzq8lDwgcKhtgu4<C#7z9uRLcs7rcW;
z>eVM$YFT!k8@BoOOm7fwDPmgL2S2;OSpOL|E4Ar62$y~QH#-IU1|9z@43G2~I8DMn
zF7Z{Outub0{3?7%$)ipNR$`2$UxB%AZD&!0^TS5ovm#$c<nS_wCS2bwtjq$h|9yT=
z2ewfNr51w2Pi0>)hQn=|d`Ujeos3Hrr(pSVR%w#2lU9HJtsQ(O*R)UtmX4qMbq;>i
z=aqT^&gdH(w}q+QB=)((-QuFB>|y=*ta2Zi_v~&1bJ(H6PQ?$7aB;1+fOVBydjEr8
zDoDQ2hTC%GC&J-B(RH_UVc8H4Hj<C@(K{<z4K_aCl1B2C>T|2qPr!#)L+42T)$W8@
zT_ads^@9t^@4Ed?zLFdd->3v-E!;ux`OXUVwDR{R`B&Er>P2nfYxCc>Ho-fdH<?Ai
zDZ(puBwuS|x8wL#Se!lK1Ig#gh$;V@01Kr4ct!HB-el`V#*^jop?jagOKPuE^I-|T
zk?2RTU6Ptm9_%|9IG+IznmLNSfJY(|UDM$wOk)$Ra7Xy=9oopJ>#WlL(+&4<?!Q6u
z1*_yso)5rV%<qi4z-L?q%En;tO?NDuVWt7*O+VpH6Ir{$;4N*p7=Ocgj;XgpVXXj#
zmcQ_H&+7MVm}2_<r**j5`ImJTTpIF&pJox`@x=ddSHRz11_*9}Bjbh=%3;se=YCA^
zn*M<CC-`vl$^Ul16F#*cI$&KI2PJMe@f^dR1$bL9qt-q+^x;&}99*aI@Zdo>uKGqT
zE%Hq(I?RQIVS^wiDH_-!nqr$MEIPdDG%Fm*U$#RAe#JG=&kTz-y8M%aU7LJ1?1hsq
z2~eoRMgM68@WFeoZ@#DjFFs7zE(lA<G+j9f&)v3(5`cGBKK-r_3p~%`7J*0DF3p^R
z``=$o5Qe#IENm>`wc&CBDL9Ui_pAeKCFFnqIDGU1W49yhBv&V{2%o&tJ?IMiyb5_D
z4;xQ6>7Iw(YMYca;GMb&CYRy;7emU_;9pG<;y!Q_&$dxh_^YIuTnNmiRby@fSIC<_
z4TbA}ZTe*m>ueAxiH0k+i_ciW6!%5$#K7g^3b)Ra@|U-yCBQO_-#5C!AryRpNpQ3B
zg=2xR>lkHt2K+IZ>5)GiY^tl43)iS}tdV@+!B<kcPvNaEiab-{?zZ=V#qjjEdFuw)
z-?=fo0@i#P`Kb=R<a49+Ej%S&Sv3o%Xr@(tfJIz2#ec!s)*IWq;5!?BXpwyDuMvX{
zEwEFmT_?%Mj>y(})DB0bb*;(4pH_F=Z-k|ibs|YVcbUPf*=Cp_aYfx6=HmAse+O5`
zy0?@3aO3ReXtKV5FHI+Jz!iJ;#F6b47wgx@z-=r!9=))6)0^2ecrkO`?<<_csdO$C
z_8L{29EOX$yjMwnylGR`+)r5k-<(G_Y%nPMX$l@zw@E98=Q=V5=3y80E|wxV+ci~a
z30@X*?`(#53eZVVEg_!&`>OQ;Htmw@rGpQb(lxEaLJj3@WVsD*njt0TAJ9JJF|q~L
z)0sXiOXe$3Vwz-u<yVXcrD4tYO;0%Be~ep1tYJ3?uaZ6Rj!&+SEMYAR`^3Gle(>84
zH#nG@IpZ+QTf?K}3dd;NU^)UjpV1ofgs*BS?UaBedNPd3d<uUZ)s`el`N}^*WWI%U
z&vhy#_(s0ULMR*%#x$w|H}=Qxj)#-8TPIJz9co|h+=eset*mrmmcttb@4_B#JZDVc
z%?&!4$?(BUb@fy52jS!ok6}gu#*=pNNzFbbGCzdj-!J!1!*$(iRJCxCdf{U?*!5+I
zcQqWFeRstjesFwTq969HxJ>H{TMctPCG%GVpWfRL1po2Rpjv?g*0;7tz{)Z$-b?Vl
z&0dAkaGt=HEPBkhq5s06{5EWMMsz0~Ecd+oUIILldO>*?ob2);Cl&r;e7kHXJY%I3
zkpYKvHH`?s0S7d0K7<?Tew-rng*Y&Fx#z)tom^p3@ZO(YzAs?>-OJK(m}&2JxiZ+(
zJVn<677N*}UJc9a&U<?b&U_L~R}Vk=zHz5Nyn5b&vI_2=S<DQ8U!7tZA?2fM_BWIH
zS&BAGPBy|ehN8+bu<k^+Tnqd=(39!`Y~e4WKL~$h37F1;O;2*w48gfhH~-6rx%?jt
z{Drrg`j3(FTLTMS7vLUFmy_vm%eFqRHMnTZvMv?AS3eoI3|oAbx_2G^8%du^y^QZg
zGY7Ym`C+E&_i3$T`Jbx`2JW!M+Hu2;Sl)JLq~QWQ&Z#&|3kw8&6gdk&mDHWs3cuR-
z`q62)n!?C;3!HpDkA=(+^M%^-KNk3F{;g<IU&mA&?{9-MA6&H6f(5)B9`A%jj~aE6
z`C!ZkQui>xw09Z~)4+Ge0}iplVrfsZsNmVch*xBNDvoy<NPE!Cee+EQeq+;T@f(gg
z@PbAPmj6>O{1w)D7qnFgE^vx|Fa+1wT)C$JkDc?|-VJ-zHI|sc6;f>;AK_7>f&J!i
z-R^-+q<spwWgoSN&+^|5B<*t}YsGyBxRUAt^DzAQw(biL_{j;@^+9;&_uC1V;RkXD
z5B`Grst-R1hqcwiSjhY?6<*ZhSK;&_zaTQdOZJZUaxrlDB;Pz)-_gry&DUVN(OtG=
zewXBR+paiRI`Yk@9{8&p&D>4+_i#a8J)E$&awQ3NZ8zYpgU!TauO-4tqT1Ih;Jckl
z@#%1R**GPc-{t(Hq38Et^Phd)r2n#AzV<2`_IY(#hxFh7Z1(lsho>md@g>1o=8az-
z!7n)}lkdQc2NNzlgvaL>sbk^$kDa65z=_3A9i!lt=Yl(`;7sF3t-<h*(wg1%u;FPD
z)gU<Y9L?<p`0lpjeG%~cHzHX*@K+DHcO+gdDh0Ci!4Dl3&0}D}1a_`rShBRD^%{(i
z^syuGzKkkI62FRisS+n(*F6$_Bz`q>(oW34(v8QH^WnnlkN^CItC=4&kojyPm`-;s
z!Iya-9w+sod4p+)Y6asLzcW951z))9agqjZe!WeZ#INy-yr;InqlMltN&L#Z6V<ep
zln?UKX@c8pBs*B)^qlUR26#8s0~L1om2-z_J4|u)lnxKP_07>{GXKuMveZAK@Tfsm
z1ep(MIX8So1}>yxSk;9~_z&qT!u!o8%g@1ry<Fy+aCNJwFzIiDS5;(Bz?J&DEWF{1
znzCv}@J|)%HZp&c{f@_5%;EV6e*R?mheZLaJ#nmUaw4qz+91LKj!Zr&MCOx<F|oMm
z0)K0b$V!7b+o`DB;L9H`A1CodMW3A|0NxSOy(b&?NUOgZ2*0g=TT0?jk-+ziJMhsy
zQTB(hY|)`339!^N%}^45bYCAio(i*GJ^Po$AB7qBy1Ve#GJpF7c)!#6o;>*Al_w`|
z!v|v?pLq;FuBt7Kf~nRsFBHPu54r>+;eZdHR|{YVy{W_?cxh)1V>SHu$fi&dZ?k*m
zQ>%z4c&0pHR-u+>t?=#YL){nQ&0p^Gw!=?Tx4Zhl@&z{pdSUNJ+rD0b9sSSU>w`T4
z{(1$&R9R*@!*I;Y*`I;1O_VtMC~P0r6%+y6Z#cMn5^kP;KX(<5ar#9)1F!JLag+L1
zn#bcfT(a@MIC8wZE`1FA2XDD>`T(hKA*1F9id8u5Wa>TmztKDwYWUFf_WCEV=BIp5
zde}AapERlOwjcMuZGlBXdfLeRVN*wPW?0~73T3Kf{;(dabUQX!Q97xw9M)LQcIJkc
z4|?jog42|<Kl8w*oCc#cu$4sq*nU_|>fotrm_Mb!^dNkWf5UVmEHwJcRv5nK-ecbY
zHz>5Kh{Aim-niZi2P6;a$iQbFSyJ}EmT@yxvT&b}#GNm&i4s+#Dy+5de;nO+JWyQ&
z2XK34WJb2KvqLsfM2I5Ul35ZeGV@4QS!GMg$|@owS=mHol$lkj6pB)b_jlhvzn^pN
zIOm>o*IC<i@8Bj&PPM~u(EYc$AK~9NQhKH^b8i;g2lz+qp(keWA5H%U-{7+!?3z!)
zb+_dCzQUU_A#$hSlcaQy*WrrUR8?nKCF;588a%E4wCpq-_c^0+6K+5Hrp61te#b=a
zFPza&B6bdr|0CQ<j``dwCHUno!ueA}s${TS`_cQCU@N)eK{{Bnp|t5HoU}7%9~FGy
z-3Qr3xM<D0jS*ICPH}62{r%pDP{LFhAI4f?{hlfoBK)G<Y3k4LwIu;-V*3>8-oP&~
zrN`&5MEI#}r6SfXyq~FjQ=o=xyeqlb;pB<O-Ar&$_PFF;czN@5<qnuZ*Zz(OEI2QE
zh#gk7jCrI4Z;N$Gvk>8f?7}Lrjd}EQZaBP0cfSE#*T`1J38%BaEi#1V#7DFRU?t_1
zN5|k_p=>pL@ZmeL!WQuO+>oItoWfopWdkR<F*fam3)1v*ZQ-f5esgJfb|AR&EbPUg
zs3r-U?b*A>8*VLK8B~DJ=r|~a!sXnD>SW=gK@Xn?!>sRPg~i~r&pP`f;n#Z~rHR0;
zd2FZtgO8c5lM&}L+AVTA4z3g9yvzgNvGQGsA;KTq&auMfr^9|H!S2FAmPGoOv%8}b
zVNS-@R$6%T#><3sc!qs)KMkx^=TLGR-ecvy;}^;U`>6fn9GI*$Je(*`pSYJ^WD@bo
z8LSqF@^WTw^d3BRU#M>m{&8B=B@aG8<)JhV*QM+__W=H`5mZ8y{|D+ee~Mr?k~a32
zM11qz>@D!`U2_-u;B&9%ueZYH2QsLJVUEj#i9K-SR_2x0aQMy~@;+FQ;~3Kfe1$%4
z#}I5pXYwCW-^N?)!iHgSE^_P<-^0u%(UY*A`rkOBzJ<-~{W}Fa=spzq1n<1Ii{b<9
ze(T;XqP|r&4SiaK`&4O~HsC6s{_iXBVd|f9M1GKsKRojtjxH+d+=dU$mU#bxKi^AK
z-GWQcq|E+>9aVJ(iSjJdmiU=`8}-L!??IycS2=~+QNpG_hTky2KCGdx46v_pwGmN%
zWgAtucES5}`B%;0TL!%A%rM0b{Sb3_(V5eo1s>S*eWwk)IkaX^2M18I-?4=$GnQV_
z!@k?C@@L?#Z|&X0@fQMTn_S^g`vx`Q_$;q)TAYU$({ITC!};njl)UqSi)1hEB0+c~
z2^DPwY?Y?Pw1IGW2magt5k9haok(v$%9SQ!zQ+s4owvvkpQ7JEJ_VlnbLs*GykB8Q
zR~CHgROXc(a6smgY9_4Clm3-R@7PA#;5~R;h?|5Drlc{d&4usQ3Hb5D%n#O#is92_
z!s%Ktb+*WEB0hB-!(L5T{zX_+2JE;Ls%!%5|3~Vb3VXYqZa0RtdThpS!2W$*qqcCw
z#etSscuS@5v<-ahrMMK4zMRgi%sANIL3l0zo+}w*xB-9detzjHe0f4pAP25{ux1wu
zf2+u+x(gpFm%E+-PYJzZDuyj%+Wrv7<6Cq5Spv(v-V`R%V|g)Uy9!nji%!dd4@%DZ
zR>Of@d!!0sKT?k1Mp*DpNp3z&H{`zj47Q5WS1gBRw{kZ+;LHPEMWt}X;i!~Xu+8sy
z;}!U(wOniueE$pc*eZO~Zq=tBjtkT#BgcH7Q<*7l?XX{6>rD#y{L^D5U9gw^YArjQ
zv*(LmGrauiydEdK=2Rrv29p%$o)d%1e<}+#z`MeC{}G4(UbuDpDQtQB@lAR7>1Y1<
z$FMP_)NV!i8}pTIB7I-4v_DjbADtulSq49gIH0Zxw`iX9sDPVKzJ7TKz8W^>PzXD3
z9JDil-Tz7t6~SH7Q>$k1UV+k{Tv*%HDAXJtKeVNu2b2F>V6lM{OfM>Az=r*%xwbH)
zU}s?_?DPDS!Wp=RK_w>{j*vLk;tKzYiDJG5(?onZPRyrz^VAQjcz8D4bk+xsyQ+1C
zxc+@ApDzZ&3`#{l*I@U-BV<AFn7X=EH2kDATr!@B&y#gD9B#ZhU3&v&{}5Od33G2(
zTr7eGRr+&+Va0hmvIp?zJPj3M`=lFh3%|mC9JIQL@IUg)+)FUCx>HRO>=MKHa1Hi4
z`?s4&Z%>Uz>MCsLW~+W54i6cU_ybFjCY*i_A1(T~@dKtmNb-ib-hGD?ZxHk6Uhi{W
zn}i+H$rgXXiCHsl)38}*axe+z+a+f%zwiNWI83>+h46ozty)WP#H^OCAj0)`WErl(
zJ-($i{IEyi4c{%;(kZ-ym_Im5KRlR<#HQu_{G7@uIAMuvg&L+IIroB?fB5-}Hc1tj
z&&TPiHT>@-OPvzTm^86u2H!XL`{4@rh-u$F44b)Bgq?v~<(ufW;H?_%oDevJUG0o2
zOht-i6XAcK8eYo5uY$QX;^AhBzfXwyh4(b*_r$`b--3ih;Qth7Co^HE?J^o+c)tsk
zM+Q8yCGF1*KQJHg&4VkLbwBQc6ZWlc<-*NA?dHsI^QHYfb?|x4kEQgmN1RFV6PQ%j
zi<2Do44|!Qg8v$xk0pfzdDix}z!y9}^U=X?)y^Gw376C_P*B5mHIC)4;J)4V8BFkx
znu(TK_{5DvVLRYo6mJ#hVQ#r5R(5zyG)?mhd?}_hiWM$TNv~Rh$ApD;^T08D+?|_n
zGwU)57yQLxkLniOuzdP9asBT16&+<HwP_h8<qzV6v*sFFnP5BqWF}E~hm7_JKU`>`
zwoc^F-QBi^f^bDuSqw3MbFsm^tsE>wt9M=;J}D=yuL#$z3#Aj+V@c?ji8|~=|B>zh
z?C2`=TmvREIgzUadz5|c*N5|y*jTjT+*hVG25{uVZ>q=O(LI9AX7ILGak(knWt>=K
z0doz6jXJ_o<!+TW@M&^ILkD>4&3uMET=Ia%*9T73Z@updH(S*%c*8z^N8&wT8QmC$
za9I7@zSIjag@=52D6Grh9_kOLrI9`$=IhogDvu6^d6Wxw--J~Ywl+iH!c6){sc^2>
zXR0We%DqJBHazB|9dsQgZDXn><_FKolfIS!D?WQ5o(&7N$NWx&GZ+|~^5KJqSI9Hq
zJ4*Lu@59_N<CimGpAf2!QuzDFirZE2l0+#_5&YuGZn|o?{vUniL%4MJHg7w;d66--
z41U_;pWFd2#+;L=A-1PDRX74a6Silng0;ina=(Gw1D@V*fc4w^_q>C@FGz9J!<2Sr
z88h%v*_e`6cu-8ed<7OeY@g5sPo#AVeuoo=>V&)CRQ?vpKd^czPihA&Tz2g4U-&c0
zC5Zu;BHE~goDBOL8_w>BIpyd0C}9KheR3l(m-Dn31MG0}`u!pJsrZ!~MmV=?T6q#4
zD-S5*fIa>yl#IhnDO^0e;3dac&3X8+7q^H2?A$i~Xcpe(-I6H?@8Ofx{|ukWe4Z~3
z>y-!9F2ZjcytyRd!`p*KtFW?~zpw(#)X34a3?B>JldcFGQh1tgz)eS`?y191zLmEB
zgs(rC<<Nws_HCWqhPPgQ5jX^^=&SYpgM*C<Zy$zd1LGa2Fkk#eS5>Yl9NXOfiUKyV
zQHU{z2U=YIu)`G#`YEU2>d>^aY_LtpP_P~B`&{w%UO10+De4Ry^V^Af5B#Ds%EujU
zxw<K{AKpA(aK#7yBeUn80_^S|uzUfg!AxH2@JUN1p-ec?eceY9w#gJPPlr?I%O)jZ
z$+(`KpWw^AF=jmQ<FMhV&+s*sz6IiVyd%`lxyfx>ngW&*cEfr9NvQC^?8n6S5aDF0
zn$fm!z6o0uCp>pP{GT1%x!35B0Nk_^y3-r>IGH8R3;X8vM4gA*&%b;|q%SU_H}Nt|
zSA0Q+*q_5OZmK|7qo&}w6#ViyKX(jVaC*E@9KQbNazZRjTDe0_9<Ce<y`Kr2hRg8D
zz{f3Tc4fo;431UAeEpvqXWb{^9lLZiiS$-nasDw5%c*db2*EQ2C;!dCbT`6x3&M%a
zZ?4b6R*aU{cfrxT-ASKd>dnRt4p@A@9?v2iKAr5s2!9cl6<L94&iowN0bg5u@aP*{
zUfi!k0khX9HvEK{x}_eI!Q~P(`s?ugS#thAC@&-8y(cLtaD7|qNPoc#32O7?@ZsRZ
zbKl^U@QZ9x@Cm1#`5)l@H5{?~;D%jFDnxlT*xQk#0bhMv$-M*@$ew4_f@=ncE7stA
z8Ux<LaLfR`zz<kc{#UXAeEjLY>c23x-Ro>KIQ*l-UgCT{=0~xZ!xKH>^~Cw=EOE<v
z!tcU1cWfd2(({P|FPM9YJC7*eyWDQo2f@i6R{xR1Q+)jgufX&ks>{Uw<Qgtp#ll~w
z-Chyt8*+Ux8x2RU8)*>dKl1zVdOG~^v?o7t{;pYmVQFwql4%@Kzsp!PVshbN3+qjy
zewR7BvfhDx=QQ2N;OCFNid4XNf({=Ug<r2RSC+xGg3?c3z=gd74b?E+Zz)mY{<FVv
zS?@7?hJ-EUIo$47Z1NNy^I@WBgC|+K-qynbV?WOm_d}_&D|4+d+x)kgTKLsQ>e&|f
zTiK{FasU0`r+=v%t~Kp@Rt^hzJCJn2LsuS)7r_5|Y3K&wz9;#a#Qptd_yN9t_|=t*
zzRB=e(LlLL*udZ9cmf<J5&v`?7JRPU5(Vd}hJPWW#Qn23X^nV3J$M=BL;*klnjd`~
z9v;>T<$-;s873m&px;Joys$wW-}yLrErD*Q68zK3v6a}L&Ozbp%CO)~?-RuFK6@X{
zJPd#87*mReA8vRv8^RW9A9`=WdYhTT*0Ad>t+FII*0v+#6ijD$L^~5c`p@>hGaSpd
z@+ckt8Whjv0{b-m*2{yRc#8<1g%8wb*5ty~^fnpi;FFg34U6G0vtRcv!tTLZ4TbO=
zy&TtNxQY3&36Z~L_XdT+U`CheCL({M8cmoYU@xIBABg8sxZRIkvG9kbV5?^^d80}~
z9AS=#FU0d`z2aSZ3Y^8rWZMq^l9XV&4G-*NT_MWDq|eZ<9Js+e%drnW!01nT7p@b@
zizc2wMs~tX#qiTM;oswM*s8d18T@5Vw1%i(wB++a)$oW`{$8SfJ!91QUISZb=hqYU
zOU`%m?=$#J?`{dAJ|tv2_%_2^&D>2y{hGNuc5M)@+PQg$c%FQxJkK-$yGC!(5%py!
z$)wOUoH+FI3$cGX8?UlSc*1Ge>I>{y^>UJe3i<yeCx)mm$txBXRPfP^R9>P!?f+oq
z!w27pyy*QA4to6Y13&y}*^6uimdLubA_}*dl=~9*8`<mPZsIWC!+TW3@grK^`pCib
zYVR(s!=`<{ALZdQi9>Y6{XoZZ&#EfyYDgcn2~UJQcT<O-rfe}%B7N?*moMnSeSvae
z#QkA3fA^w3ysKWAmAGGSzJ9fO6jtg#_8%QAOC$2m3|@JsP)a;+M6~A?Pr|P~Y<F|R
zf25KfPQe<Q#t(`6_X$h`;t5+MBqZ>|7CD`tykMt$A;MztX{tu%c$kd!<vekJr(wBv
z{RX`CtKqT)eE+^~(ruVCwf!Rzzt&+UG##c{Ph(PrxBlFZz6&?gW{0W3l1)BZWw1!f
zC|?M?SZ!ul4a>fLc{2#M?cOf0gUjW@j@*WIuYRg+fxDFa8dBgTh7svD*fiJDB%27|
z)vD49YroQO%7oS1D<Ag3x246*@53Ylck72>>l-X>d9c}++p;5Y@Vg%;O5l+6DAg&L
z!E3Ce7#9EUYUMQitFqp@5`KEs|LF(#glA^YL%282Uw#p$Eey1)gUj0O4sF137W*`6
z;OIivXTRat7j&<l!Q#(Fmj$V9TK>CCLh=N@ba+RA0Q}*G$k}q(YHBu47H%)TYebw6
z`^gqI8QAJgS1obAuV<pgwBSQa@@aQqPIIS94VXc}hCCH6dBM|h6z0~golAye_Aehb
zhI#X5Ok!bkfiA1#M7Uy1Q#8!2oHk<)_pDV(gu~^oYHQALliY7w;(F}!rwnm|%jou8
z@`rDyW+z^N|LWMBAl74=&2;4QfkhOqx4OeKx#ddHaI?7vvkSa1=hhqrx3YKz6YCkV
z@CK1L!)xcKqs`#Ox$!G4aDQbfk2UQ4;$PZZSozWiPhvfxQ6W#JarmfK<rc9%()C-K
zN`K(8$X$(=aE08{^1rY)-;61-9+IH<o>qDqJWq-OrHS}V&9aXe;WAQ6%X6?=)#rK+
zSX25)hZn4~li~pvyw&-7DH!HrXs;54uX(W866J3r!BRpP9t#^;{trGgxl2(J-eJn@
z5CN}68wyLqaZI<Oi1NrVy>p)uTz<S~Jqhliew42a4{yc95ascF`IQPSIMt_NBOU%+
z)Rv<QH=H~mKwNKi%ao!cu$8t;0#W{`MK$=1;iI8K!bJI-*~=_`9R4raAektCz8uYW
zPrw81lp;j=8#r^T#177&6unK9uLIxyWjMm0|J`Zqf|HaUm;1n;Ca*Kw;d@aR_WHuP
zcJb0LV4Y`=EHhz8{#NS_*njxlbUJ+C9$jZ6eA=>d@h+^DNW1?jtjRm=lM8S8TjW*2
z#$hE_ieQa@Cd|b74zCZB6~gZhW&{)I@nUi2cmhkFy>_Yq&IpgXQw`tfd)b){4+OM7
z?T1M%Q(1}pDHnNnu#fPy`LG1o!Hm*r9`2Tp>L<!Gt0u>%S@?q7hzfB%3~yZ8T!mxD
z{^JOPzxZB_T!BeehaxV)PpXE~NNDjrd&|$!4?dYV#=nj5wf6RYPxy*$h&VOE=Y<l~
zJm7Yv;5-_*N=;*sDDMK)UDdl_e#Q1OZ+Kt*fD|{(8|$Ne8P2fYtt|oHxc8oys4o}h
zCF>;Niv5X|MES}Y9BNg7C1(x_{Qv$I`02oY_>|k%$3*$^uSq$mL0B_eh)9oMSjAIK
zIK5u)36WkQdYg_zFxRthdt%_{YgaT3V0)?5I-<Nicqx9^47RaV6HSEm$4#1#!4H~e
z8;Ja*ry}XGh6Q;d#M6lQG7>sA@OeMcXSuLZ>C}<au>EG6ByoTFzP97J3;gJ?TXP|d
z?i$PmaK_LB1)@Cvu$zl6giCiCblrmkzbqCs!8&wVEX4LVmJae^a`YCC0i{A>`=0Vu
z(QY_w;tm^e{iz0z-R*&uQVtXo_rIxkq$RIl(ihnrWw3#uo6r!P8K6{B4UYx(?w^Ox
ziY-SG<x8EtSmXoDl+Rbu2ES%=ko^X)IQ#Lm!rz|^6)(d(Khr+yf!U~TRQ-YtN38j}
z;gD`B$=|T1*>dGeSj??Wk(3V4S2tCGL3qYcr<@E<7#(>02HvT%{e%ua%grt{3TGG6
z6f?kAW7P~l!s^-mmF#fj!Qk5Wuxg;sZf@ArK+bm?R(fUmc@@VKG8{ZYO{{mfWAefZ
z%ww-wyM=JSiI^iV;Rxf`|0obH+p^w9<OegGXA%P((xLva75?_(PBk-p>E1oj=kVhS
zWdkla)~tp1Df~LEe~cS`J|&#m2$zqaIVTKzd8x-&!-n?1w)Vi&#W@sDU@h{b<bCii
zj><pfu&E&b9vQfaoZ0UoY%5k@s|^2V#^+H4&(0h)JOBr-y|pfZRqO+Nj=<UO)28>}
zgYG0`#&D=cnl@2hMz$5j?clF(Q<QRGN1KKQd-&Nk>RtC?0WTritFTrdmryAzt&n*+
z3^oZl5=R{WY>u;h27Ks0*W0zQxA5>?Vm-^pv=6t4^u~In*;K+ZFNbN`VYi25y$|67
zrcJ*)VG=*7)fRY#_cQq*{8lpAfmjbT@ZroFk-s|o>Z6GDLOr8cw#Q%^8?N;MST{fA
z@&wFXP#XOPX6fs?N|e9lEvjE5a1X7?p9OeMJw0|BmQnn=>mRHekT5a^yZ77N{Y!*9
zkmwTYlZu%r4GE(>oNGJk(F5N!9XHwwHy#?>B*GbtWE}Uy^&Z+|#PKWlPQF!w<0N{|
z636e<q?y-*ACCPTCywu=+F*m1*p`Dg!@P;(bKPG&V*q=46irSN+c)P<8^Sd^WqjVl
zGyyLckHK$tnNQEdbY8R;mhkM?h4g=L!Tdoxd)T{*l$u!2vZCyTi4#03Mla2P^)9vc
zF<N`T^v*)r^e`J;!I86YKfCyI9ymMs%W;1=_qnRvZa96k@x?{>;fKa{VYs@2@@)w0
z+R`I01ixpUGz)_T-W=(afD_e3ZLY&jlje%z@MbI7a5OCR@pYFReDiSjVmf?c-^hJw
z_-;|SQzpFSXQ8YN7x45y9)~B)s|tzzWfTueO~Sr05~>RD{G^S}5?o#NhFunp)^%_A
z3VZG~d7uIZ|9aTI4hO&C<s|kO5!$Np3$D{hDba%4BIpga;oH0IcWJ^8)m2r==uuv-
z9MUp{ZyChu(ZOo{^yNq4>p?}&=wYw+P;E=NYV>y(E9|PPRdE~^kmS)}huNenb?o4{
z5g#L7_~o0k4{hKeqx5z@_!s7Vae;;Pmj^^(@AzAfoMF`|!&Y%Pd(!WXAAEJXuul%Q
z5ZSBm3)hg0>nXriX(?~7zzW9>n5x0;JG2iG>+w?Smg;B{+lO<XBi8E`%w#q`1S@;C
zjz_~U+)X<U!}RC&c_+b~%(a82uvx_5L;`%C<gdXoI4(f-d^-I8r;CL(99;iqG8NX3
z+|aj$E0s&hi{TRy?q)9V(<R*tg|It+UC$Z#v41JWL-@{FiQ#jw;|WdQayURT?C5#8
z_GJO(6L_%eht*|xYf{0l8ul+f`YM13H_D`X25+;geu#$i?-bA0!z(Yd9b#btLxziO
z@H^T#|4cZop4O}x7R>$mH47fdJv-k8t6#Tez&CYEjA5tbbJ*zNa8wNu{#c~B557fz
zpzsB3s$fk`#P{ud#y<!r3D#x~!v3iOS|8z|OKo$#u*gDX-6FiX$a`rB_7-J*OR~eJ
z<u@x?(*V3dU3rWQ-k`NP_6FYiobAd2tBOuZ4#R&74$iQ`4^JvKPr`;4a_hpdX-a+u
zvHo();*9rRScT+|)Es=w+B$F_oUJOEIRgvHx1W`T(+Y-KR^hh~bT6yG<rdrfR^a`W
z0SoGItjVvBv{(;1W|3rB500wiIYC3L7cKhE)EHLkez;!&j!XzRbsP=~eQ{3?*4<(^
zv4S(#JbQHEC0~ovZm_jv+I?dEYOV&!DR)@-*SwMeT-=+bUJ3u5drPkh>u;n!se&oy
z`ErTv-zm2DwZZ+(UjvBky)?S@+u_fD<aQ9-8{QT0S%80B$!gYt>(>-NzlRO3PMRNq
z6L0>Y-GV<I(ag|?eJ-&@Zo`L%gQZO1kGp@=i8A2)jQNcZ!8>Wh6vW}`MeBD&IE93V
zogwV#yq-iHkJ`E7%@O!!kJR2{@ZK1kU(WCa#x+l4IOBNv1sC|lhS=6|n6$qy${$V*
z(tSh3kMk8Fy#!0&z36!g7CBr?9}1_1{vACDdoXiGg~4BM@AGtm85K$rufvyfD@Gk)
z7JerB7&!jHI}dlbIU%1t2|h4wGwKRQ-(gHlhRG-5JkG<)c7>Ul@SrOB=s9>$A}S#V
z&TMzw423@|3uhL<XVPA~hrq2B8Ei#__mFH}gNIrV@IQnNgwDA~!Z+?$XFP(}@-qI$
z!(xAbRkXk?Z_W(Iz{+(&;%!9yq(rx5xMq`2u@?^OULHz>A5Rul^uebta=8)frEjLL
zKA#}A=k3)>h3(A$)0~1mD89eG1DgyDSbT+(yAw-^_13vPJqEtPCqF;Y%!h@aGmrg*
z89cU2?!iBTA6aa`ULkulOW{G`Q}!f`_}?PxUh)7IH7KwkhX>w0eAxi&uOGLkhmUN2
zRj-G~97x7?z^QkcU$(;Sr>f@JV8%s5^%nTzqO&~*ycp^=*bR%xaeDB<=Bv4CUGVm7
z|2#kZ^h(RXAbdICzi*=Ou3amt18|_RriVC8b&F|W6t0r}<tGOpvsG0cfj^4Yev^lL
zdQZNXf+wwgf2+d(o`oKmgbn?b{ng=LeA)dA@H?8y7-QH*b3A_*rrHjrFoBcD)|H9%
z?C&^fFj>Mal#Ka{@QxtnSS#2&MND}WHj#XF%K^UfS?&HZoXzxKtTUW&+q;J(5baf+
zhPORoNr&M5+Xye|O}pd=cQDfw%Ol*w!|!Skoae>BCI>5d+iwQLI<JI^4#3%`)Tyt*
z^OnM_D)8qBsfZ}}TZM8VGDDjx{!3aaJn>y3R0H-+TwqCue?)5RJOuNXckteY)ep*s
z=)v40&(rhZnl2sYqp+P;(ftQ-(<7N+BX~Ksgs&7%7u9Au4x3!C(s~X{?N~N9g()@-
z+FRj}rkQ49{|f6<3uCZ#_gQjX*t)gD<1L(N;^;%1zsw8W*cJF^NY7(MI7Pyh@;iKX
zVCWEWzJji5%zxl#sp(Z}u=vN*aev|9u{?d^d|7?eQpuTYT0;AsDvAA9<#tokz|~%X
zp0+UA#|JFTaPTgL(Nl1D0tYQCoZqOm=>>02{$t$@XH5KX^MqUJR1<jML+cxVd||@^
z;mkeotY)$61$gSG3%dy1eWdJnAY3zTCLj%yHd~$vfccK6Wy!z-7)2Kj>&9FwREB@q
zY@ZH;uM52rJOCRTlm5C6|HyBZ(t+#Q?>R@oT+S@Ty70k`d+RshUOCFgM_|1rO{W|1
z7>kXxG5oJZbL}?lID1gf7Ct=d-j@uo-?`Up2j?!k+GoLC?7m+@;3Gexb`bHI1ZQ2t
zV7A_?xjAsZ#K?u~uu|_9T{g^q%J6G6%#*T_lMk;v(%MLbpFi`Vy$|bB)cYmF9RVKM
zrLanIWoRb6^kR~_1P&y7bTJ1Wc-^<}DSYDVL(kjr#5e1<Mp$H3YAOR(7SIkFh4T&x
zyiS5;4f~ni!pw_z^itv4{L1cCn6&uXftzsZxSHJ$IMg*#mWb~-E&d<H6+F*53)G1H
z=_}v)Mh4UUd?cR@Kk$!XV}rfR-)Q8+C$u)gSm3xzr|S#gfPy8K-7t4he0w>3J<~Fj
z3yyc^)y9mUEl<B2?i7L#HW(Py!lEn>g9Tuw{^`y-*xfddNgV#<x#M*UtWZcABnt1!
zD>~W+ht7RxkcC-pygAtm=UJKrO2fq;FAw*@zauqwD8tVLO5P2@KEk&z?}snP{u~{J
z#~A%`4#A#1(sR@BcfNKSeK_;&xZMm)F<F^)6wY&D_gIA8IJT&aVe|CPg->u$$LEaW
z#P%1+S5{$h33*BjIQzzhk8AK62d$(FoOrhS`z9>?^+>8S%zNU3_ZGY;v0vN^Hq!YM
z$;fQeGR;`J?FQ>nw~#Qyeb-WwePF7Z!F{rDI-`-6Cp<;}w^ACezH+9_34Z@b`I!<d
z`67nX5gu-E)Y%U=W#>m)!D?#h#u_krT*vYW_{c`nOEs9TX~vdF-{wJ~k4EtR8cu~H
zu*(M7>7#Hu^WP40SYW@B_X+rG5tH08Sb~w~vn4FOzWUr6u1Pz#ZVxv;A(c4^yWLj5
z;0TYb&$SZg^UTXX*d5NC{VL@E3*L0u@POl42AYZVI=H`KyaI;{j@~BnOUeCZY!K`d
zS1oo9{!Xr+7YFxOmuz{!db5XkZ@`bNt|$4z!yOS~w_)b!piLsbzI4Upr@~KptP%oY
zsoz}>@4(uZ5B<3e?-Ur8ybD+V6Sxr$Z{@Hl7sCz_^c$gY&8NMOAHXSp7Gkf%M%C_3
zm9XQ3-t}wn<eo6q$FLRa{pg!8hkCpIQ&@NDzaQ~1@6e`36KrB4&vgfGSUzmn345k9
zL}tU?EMo`y;f#ROgH5nop`89OyxFR(`V96}vTGfIYfI^0bim~tb^TMY82^NFJKWm0
zXz&hB{ZroC52tVFAO8r`r3dWqgBxE5y<CJv&m8F<f<=udCRX4)DQ1P&u(J`z$?x#l
zFEbtEFtgWNZ?c_u{#M#&y@9n2c)pOs!^QigXW%Q}LVwc3hl<{(Ps0N%UA_#kYvN<c
zkMIwV#28*!zMY+P0X8}^N68PbzMoB5f+cwkc8bDBcE@jhhHHg#Z-~M9(pE`7U`Ac)
z3|S)njm^KSFgZnQk^&s4n<z*gg!Wl6nH)8^ghe)<6yE(liAw_>d%VF%2TNO$?bRo?
zFHeb~fmfA1^A5pP+BQ5pVej?HG84GcWi^TkX7i~lI0i3shL#Dy<MMKq)^J-HBPT!H
z+n2x32G)Er^gtB;InICJH2gKrflUM!YiE&ng)>imJfI9`y-m^ZhIhoC%ij-oyiZZO
z0Fxwr?>PiVY;)@d!jf`+iu!QBte9Fb?CP^_Z3z#X)*On24_@_YKMtQR7}UBBH*PF{
zIs@1DI2$Fvnpe&ocY&)9#_A=*U&ZGFFT&R6gv~NxW{fxRgBR&f8s@+&<o&eQ;Az!g
z#|z+mS0(@d;5THGy$|5rRClQySY#z~v=Xj+)SsFKKd&4etcH2*wHwRev-#I18sX~2
zJ0hhpU);iQGpsbgWZVb~|Cce-1t08jf6@Tgyf(4xft$$$44=bfoKzmKU>{Nc$E~nm
ze9QaS@NsjAL%lF1@0HbY_`%)4N8PYZ-2v}O_<N)D!B?<2<)dp$@S}ug&H*?yEP(7A
z%)8)QG76K$t#EC@&jwdRhhWEr*3@m-!1n&mN%&HQS_Kme+SeSJKfHx!Kd?*ggq`-b
z1kA$OPQyxEa9-Q;+&kDO?v^YM%r<6BvkE)YTdVJZGd^7MU4|ctFg+H7KTd>5&<3Nu
z*k!6o7Ph{dcZ(V}t<R}af(=Mb-igC|&IdMW!dlNg4aMO186I^ya7Fkt?*lN!38QvH
zxU*{btuico*igp^rh6Ogr42_dGFjWeA1~x+X~0qq9HX`{+u*_1`tYH>t-t-@$_fi+
z9XKmt_|hfVJoeW;Ls;>3*3Bq5lY8mXA()w`jy@XRA$^n96n<u&!<h*GO1$cK6ux|S
zc4rFQrT0AD9zHzT&zl8Ta8{Dp!Ll=Jnb|O1o!RX(@QT}9VLohFePH`E%#)X!RRX{J
zU1=Bv``yhfs)7Z6q&$v<vtDk-wZawD_s)&OnYp{ud*FZh0dL;ImOXMIZ($`q`y}ZQ
zls6Cmm>F2mLHw^2{EB3dY7X{kdv;?#e0zzN^)nnO75Pg6HYoK=`~pvebH=K}<ns;L
zKj014u^*~%Q#U{NI_zof6?G7fcdnGDWX1PZ^^CPPJS4{dhzhoqyRc*chsRaeT!y(G
z4OYp+oOwH@FTxGhh5`~W{o?_~R5(qKr&AdIW5%C!3-%97SJ(}+3cY*L2;0bC*JXtb
z6Zp)Y!kTqdkLX|-_2%?1u=>idC@K8B`4jhNm?r4t?G5C|Sg!VIZZ>!|b;mNSs%rUu
z7yLDx@5%>w<&le^4ov3MaD5ss-tBQ;3qGr^zdizc?ALkc1`92OkPX0nK8jARusHn=
zpAL9HlH^(_%r&-E(gMqse4+}0Mc&@rRR<>*zhb!tSFc7~eFAe%*4_FKW<SBYTn;<)
zgp{SgnfWU%CGaj|d+B6idyxp~doa~aRn<&b*w!oUF1+H))tC<d)A>h{4maIc>ADM}
z1I@Wq_`T>0!(4dD{^G<9IBj?Ci6S^;z)CNku-FOfeE7{sFn<tiqRw}w3>M0^jShtO
zJ^b~d1U_cHyzT?P$$I*|3ifI2vp)~hv?u#l!e6KC`(5GUm}BAf@Zyy6exf|fx`~k0
z!H-V&-Lr*zDQ6g3;AoOOdK<VZy(*yz&i$+yXby+pmFWEdvwjk}b_7m*;AyZ3JK801
zTEGoQ`y4jlH@uXei29bL#5VmKzSr#)bQ0c^a%r8G-KJ$<-k|Xbc-p4hj~;f9P<%(!
zx8M_#slxDpmN=I+9O@jlO9+mP?~F2o)deK>NWf-4&n%n3GjqKKVz5IIxgAm8uLt^6
z%EIy$xgC1&$SR|P44nB~LqQ#OcY3I)3}18`%~FNWBp9{qhY!s9)5^n(Z$9*Cz&t{9
zzOr!k)9|C}usX?uccL)c6o<7QEIqAiAOc5Tsu<UW3kAk&c;Pi4tq(`wiY#|N9$2hp
z*v$|Q(WQxJg;P@;{f@yor&88-!awPwFPXr4yN3oz;FsHU5teX7tc}Vx?!R|hWUpDk
zq3&6%-{7CaC5blhjI?0z60AKvka7~1mT<C~fW=s~a~<KQhZma1;D0X8_w3-4j(f6*
z=S_42mg#~SNAk(L;Gf68JaUFt=-yA)z>0lG8a?5OQRl<e@Xc#u8XmBoBzX<-Jlq^s
zFuVXe-3s9?fywun7<<E_kD4~pVT=y8x&&YKQF2Oye~L+t`NLz%Zw79{e!iC%g5k5b
zjg)V|($7d-gWz4QOZk!Tmv@IR{0A>SwPPTj-_<h%-><^+M%!1ez-FGuXp>=0hf$-;
z@QnNG*hDykA+X*XZXIMuO^2mK-U*(A&qu~{ronGiA`*!AiQM)!p<MXMw}oHMu)mB}
zehyrICi=`Nm~1V#p&T|})>X2CyKFhs%iz+;kM~Vr?q43}jc_zmioX%OU^hP00P8<j
znbU>Ej&4o2!Bw0wM|5Ci&$EuLaI1_=oeDfEALrErCkO@$5bslD1}@&6a9n%$-@Wj-
z+?Buqc!Yt~We=Q0{U?&x-zd4}t9N)`JleLB&<j(N#vUNvPgm34BzM8fZ(p;$fVKQP
zat7h7eLNw=`*EeQGC#4u_17(*+u#f`0f|wVyMxN26%I*CC>@3y2TEJ&U~)mfCzG(P
z{Wq~%*uiy1c>>n$Pf4wSb$YXoet}nL8Qn@@IY#oqPq1QY_3%A7*r0OZH~eCRzaST8
zi(_%!fW5=JSkmC4-gzGq4wR3FzpmVdN1p3`-$J-&Q|==1Ju!KGjG77IB5Lb(G4RVU
z`4|THg8LnjtFQ)l;~ieu{NuvU5SU>nlK>A)s*vDv5w0N_kk|tcke2uR!KxK}WkPU!
zrIjl2{h5CG?Gp)Dj?ecV@qINmA)+D<Uy$czCcZCMLnn0Q;H&D20mS#)T83!549rmT
z?!6_<z4zLf7EHNF_JsKU?d@WjREKx9*d*z~VjHy|^kB*R?!UF+Oyz%W2jOG`b~hEc
zO()0K2)69u8&raKs?7W_geiym)QRtTYM!92V{rKDt9&W==fXb{Q)2teQsKn^1^zDy
z^j7efuQH3o|Ao$HgYhR|BhRT5JK??@+cZ1)Oz6}zCODdZEaMbB^hqUS3;#PN1nu&j
z;gJ(cr2pWJml=DV;03(}?=@Jle3z^TTxK#o`W?1lwWxH1N$<t$eTIX3`k$VMQw;wr
zTZHpIP-u9=lBDw7Gw{<(frl@_HxKQNn1;U{dD!g_dpZv<kHG(``G$hwyZY@`!?2#V
z`SBpQt;4UQ5ALwu>k$V>mKxmdhMz2$e~y9Kj{GKTfvHAzZD+vW<eOg;|9`3-w8PWk
zwPhdeYB;COd};<hlvVhl0M0i&W&aK~xM_c!_&?<qtQPVMw*4Ivmkz5LAJ|%lr8|^=
zC%|t<T3Dz!F+S(V&F*-3s-P}~0zNWrs1ymWQ7RO(!NttUlviQR(LLg<Z~>QzAMw9#
z?rP^@NjRc~x5N)N&#LGahfm*|;3WPJ?o(I!r~?OFi8gVCKi=VR*M{}>8#LO%1B%g6
zC*gk0*WXXV8#A`lR&dJe6h|}oF=^&*H#pSmx(x9@^;(5{_8EAE_ec)$|1!QH{n163
z;;Hmm9hlp~NzNY@jsHHT0(%KW>PNyC_H`HUhr0(3bw<GW%fPV@ra5W;G8PsL{T?C-
z8#S>Ui-C{6uKgke=LmAyB*Euiaajn$y;^T365#JK?^<@jc$<Bn23w12igCinEN;1`
z!m4@{sf_R|&qSX)@YgVhe>>pSbqe1s_^8y<+rRi<oh!Q$bRVv2(bN6|7rlS9nFq_8
z(N_@vzk~nWp(=rwBOKXR;OK)4G(~VS+qaczB7V^KoeyD}yV@s-|MAsK#mVKc=soJr
zVVFuNI=cq`(`UJF2p0EN<E@5$<oU9CVdJ;UvhDC>VWkJrK2X0mr?L&Emb&t$33hkY
z>v#<t6l@hdh4<Hd(SHR?8+NlkhD`(NO~+te4$7cP*l>n@a2#H#Rb?RBFPN@Z&wYlE
z#}rOHfz$f9oR?r;$MJK`u<FClUTg3<7uu0$a5C44FYE9_33azlctuZa{U4lm(siI6
z<{e4%--gW@(;Z*HiU#LGsdu6M=*+XOK3HRG_8$#QM*q#4NIy+|J@rm_XFOx;YxwWG
z3Mw{O-{IW*d000io|y-BHH|i&gH`Al5_t)SJeeliC+;;Dm+yzqU0P!O03Vj%l~#lo
zF1K7I@_R#MU0EIG-RNDMfXR-y)v3aN>~bxM{5FlI?>_=ZhCSHx5~f2Vu_0_u5tdBk
z_k(W-Eswz^1);w?;K{!7QB!#4=5aS7KaxKB&sf0&17-t6{vQmPbhLy$ctq8S{AcmI
z<7p3n|HFU(|M}la{>2vlQTCIWXixgQ8nks5J{C7MT>#VQPK0{FI<_^&Ik3OMq2wT#
zP5TCSCLEuc%W?(&E#n%U1h-xKw>K8H<dU(x3BT_(D~yH}#c11!_P3efy!v!ln)7*5
z1S~xC?LZn#t$$}bkO)5|f3yg$K4AFb5^VK2@I?U}9ko}@8*a>Ce^U;ZC#~n5h5wYC
zvMPhW>b_=jffKw|9joD?r8}3L;q3j2vsG{iS@422Jn{F$S{uB5nXbwbKHQz`-wKzP
zE%FoXqw6ntLwjJ8fRZSp{Zq%{<W?8#zB6X+AS|IUP5lxc2|8?}3)^4dh#r9L14Vic
zz}F<xl1Aa2h*=pGxLD}L&Jp<LLQ9SeEI8S==RLf#OUg?M9v}IhKMyZu>=+Y<Wk=j9
zzQCLvjaowR;`Q6opW!PdIpth%v=gPucletB5w=~h!3){C71*jtGJ*+Kx|-Fx0qcv7
zEHc0ph3z`O;Hx7~EGglGiV{ZKu*H<^GjiC&A<$?OK3^t~@g42u4Le7VQ*hz_%Fw<|
zw4ZbB+8ic>A4nITTZFswEvD(<U($z$Kfp#Vm+fg`wQ4clY1po>$89GZY|&9nwCB_5
zefh`)@6#yeAlmyQuc@qZ!j3^YA+KSlTB{2jaA41#FFo+#q1-Ec@PopJW8Ltnrp7-!
zu$1+kW}-hsj+zd`K6rY6b9^J*D}M5ZB<xF_|K~Bx8#0)y2EYGY)Ab0x<UPZ$3dc@l
z?I-$Yc#=QVI|bj>NgB+9C*rEwPr^-|ff^a`$g5t8B)EK^3EfS&_~2}0GMse7F`MY`
zkyP&UpbAdjpSM2|-f~S7uZG2rKk6d-hqzK~>-EEK;eLNo;B%((9WP+(UE%TBaHC-Q
z%zIddho?CWcHVm9_z`yBCvxmA9Cz*VO(t%9AGr>j68md#=wsXop9>nFCBnyJtkn;|
z@9p?zi0}xf)<#wM*F^zeB0X1=nBSVibWhmxiQ{$ri9C56W<1QUQ~)=SHh8+g6ucXx
z_u!|8l)s#T$7a`4O5nQR=l)%U$A>x{ir^sbwUEp3#s0QcqW_9rpj6^@ICA{zvoiS8
z#iz_M@LQ^2(;8S)VT>yY&U<jYhPWP2PMph3h6~$|9wx3A^HOQqJ-9(<m4)cP;`rHM
zUp{;$aWTIYwteoQR0fxLKBjAd3qI1<mc!dc53-5!;729XQUf=ao+l&vr!<<4YS+S#
z-niT%`lndc{55QbKU0YOc>x#gE$(fBgZa7RM`8MxgG1f0*rm}`qCC2}UOnCmn}_xM
zHw7nImfF3B{kFqDO~9nA&eKD%(l6hj1-O8*eq|o+mmWSe3-c5OTzC(2oN9mj306OO
zp_qL)`n%I!RVDhTxCLj4vcWraZWj~%Ujk(tWqIHLMo~uMd>EM)9&*E`C2GOM`EF-#
z*9pN^oV~L|e;jKq<63@rtM$jT2AD;`r$+`RQKF8ig;{ly45Z;t+dRK2V48!Krw_rV
zNjaj#^*m*nwQv}wPrX)O1$T`Wel>-!3~%yP!ph94-k92`rKoHE5pg{jM(<y?hQnnn
zIqKlN{plO0;N3gbi;3$orCm&V8n(LkfPtuwnVoqNF0h^N&0OMoaBb7~<->i4oO+4#
zb?I9(ybo)dMW_(RztsHO<taSdZ|Y9;f7&<kcD^3Q{O_aruvdM@)+<=rgO`dZ?=^d}
zLSDiQ;=2AseevrEOPGP}Kit*41v4p`GQNWkc6OG<!EYyzxXJL~`R7oX8w9WacXv@1
zrj&`4i-gr?|FBuZG_P$Wg5iXU<P<CTYH57BAFMIYQgI$8wb$?RhL=h5q`YA&)`0!4
zuwB-W=}q{Y&s?_yEPDL-Ks@Z*$f;}vhbK+F%ZAOGYDkX5r_4^;XTix5OWsCsfWz?l
zQuu&Ukct6(X^-Kz2XJ#+RiPGaeU$W9CCoqJPfzr}n|tAR@ev%{UlzC@HgkR()dG78
zi5!%Nc|Pe;HpBFa4wXcI!jj{w3|(-}1r81|m_5xVz60i3G>znk=N=X3jKE>hkB{=e
z6~A}z48!{T-=4C<D@EmdCgD91nF1{ExiY5v<8W)p$W2-}Qn9pj4qgZk{Xq@auF*-%
z!q&6(PTS~DS!|gn{|Ro7bm%1dTOQ$UDqn!7Uhdqv0JnWR{A39ZjjOph2XnsPkRbN=
zcibef5dL_~P2n?~llfyRAHH5EC;Jg5-*9b6fgO*esVu`jthD^e@Yd>|Ctu<Fe|2xf
zz$<n(&Fipt?d<Ax_(E%=#v1HN!Q)8ux7Ah@bYSB}`_OBj?*TAbRERStTuAkkJr=g`
z9rxsio5RAcM8nyEH<tup(MjzcN$~Q6uWMp(ZD@y20_=U!X+sje)u?~#F5GyhlSC2b
ze$l>h2ma?A6|o;qs`xLq2-bi3HC6+TT>ST~08VVE+Mxvx)IJTbfO&$x?6rblBr;Vz
zfJZOv&OZTju37Np!4u|F)o0)&f8qBz@G~=N1s7O<!`<RGe388Ipg&yupEwVZKgl#R
zt-kPUQJ+{Me@2bP=ab>~#kSr5!KZe!ow)_uSq7HJ!GnL7QrltE#dWF(xI18ZS0{Wc
zqbQxopQ6V+svlsILuTTU@X?DhjUVBy%B_ZYIL7<<6g3~(k6WCLqTo^g%MP?~?+1pd
zoA8XNX@DTCb6=8{*dKXQ=pP}NN_#kyIA5J-jPwdbe74ulME?3nAHJao+s+595&fY<
zUcJrHgC~bw8gIc(yxanZVD%AN6Cyt@x|GXW!XESU?3wVZxL;LPa1{IXqI+<4z3x*7
z*jwcsJ&~WMsgpIFV5*Z$IYfR721uG*fW1auxDe&>_uc<q`oh&B-am=!Lsi2!8v)m~
za5t60jP+rsBjLh>^`_Nu;EMsTc=&8t^y4b{>o3J`H{c!~5&fs|<^7{uIq=xt+8uSU
zxSIaeTzH_%{0`B7yLk6v(nHwk>#H-*;5(ZRY?bi)7O!6&FiG0+eLe84pctW6cn8hc
z!(O<hU7)%Ljye+DG7h_b^$Y5R->1?ZoP=rIX&DCL_>7}2oA9Nmpsa5ArNoyH|KNuW
z4Eu=w+2ZpeG<^K1pQ>t4dtu}H;aGlHQLNW^2rja?kR<~b40N&*{mG>%#rWjl`(G^z
z-oh%AmqiZ15w?9aM1Ssc)d~+(;YN3>%y+QPz_m(U_z6kxzbTkOleShLZpeNouneCy
zb!t8ezsxg^{0cLE6w@_@Gv!9vf5P%={~fV{TOBk5*Wm2mrY}yy^^=`+|KRY%vJpr4
ztAd30U%2*S=t*ao^-kqBIqp~DI!7X6;klhoD@3^D@R{vsc)?=I{s&C0yn{Idme2Rz
zy8>6e7QB%L`%*8Ze1tXjoWGq58y=MT^&U<zNK43u?L#DnhvD3&iL`w99EX=OkzdA#
zzp>qiHNGwu5c!#!x{tRM4i*)mC9YTVq(<fgIQ(?}W#anlQwH3tgqJm^$D811p|`Uu
zh;WIC+H&}7UuXUkSot)|?lQPOf9}p>*w>3`gDCF>9P~v`VLwtm8)7^`c_8PW2KZQW
zTTddfeY>hu8=Ua-hZIr2OashBn&JNUtF)o8>!PQ07wmXN;9M}=rQ%=O0Y59vo$!OT
zBVr!EfN#zAYWl)H%o*jqa8GT|ZYOv$w4mlSOlI^w)B&z;ER}x+zgfQU)e^o*@mO^X
zcG#0<b^_i_Qd|25c9iC9CdN~E2-Y{hgViYx2pPeZ;|=Q5u$NzbqAnaTQmgj?&ief3
zhc+BxT-&+;|86?ztOCD_D0sC7n~%hb?T4+&b4`B0>%BYDq+lnSaC>qAwAXx-u@i^w
zll>-0;Tx2X`vhPH*TY|S!r4k)NxX30Z$)=zc-Y&BgdOf{oeUF$)Ak${XNJ2=S~f*s
zUDcs9V!Vr}xfz=l?50@NLIzhRN+fB(F`}w6e=z<<lls-&qi_+&&h?*gk!b<1F)SvT
zdHNgt?3U&}TbN$VS^Nvk`Ef_dDR|LtDQym>FBz(IhHtO*{+WSqG~`M<!KHC0Jl?`A
zR!&MDMEqvieq#Ji>t4ynZm?v_Q`G@@GV5c*d3gJFN=`rAEcQ^@8xH)-w}Tij=NI6r
zbqSvL{ozfFH%fdi+2{`^X@pJH!*feh&x7IHmS)<-cs%W&ceR6Hzo^LyV!WQx@1q9)
z!Q46}J1gLc7RHXNu+*qhI58gTV$PHP7$Uwr>HK}zL-?X$G~6I{^H>&KF~)f;5iXNB
zQJn$*<Q;x-6Bdk}6C%cceJZ~&k_y+07hWUA%iVY+X?`0%{Y_yl3YO<?x6Xk}WY#RN
z!739$qgn7Z>xd3wd|C=0)AW5fOkGQi7@tOZr~TADIKJ;isxLfr=AB0s?9rfZdmipt
zzWL!1{LZt#*A>?B=lE6!_g)I!cLuI%eC}BbUyNtWwuL*Xx&pi4V=vsCi1D89ti6AB
zz-|=32Z`~ZPkdb{N8tsFgSU^uF)t}2hGDO=5psQ)V)Rw+8cegTc2g7Pcyos52Yh4o
z<t8zI$G5%<I=cnYUZ@c8X&?NoaqSrw91+ZXaxc8yUEMDZo3Bvt3c(-S<qXB(XQ%GO
zaluu&3sx%d-Kqb~IN+{An_(q5&4aI*0j^ejIH3u@XpR#k##@*F5k9E_Z$1)9B!|yB
z`#R{u5)Tr;lftGS7bXtEx3?voeq%iMyqNU75!{lI{G1pMUUT-2!x7l^gtYuJEEGNG
zY7XB_O1kwGUWzrFH-pbt?IV8=D}^U~J_%<e-Z(>yPq(<_K7RtP)bG@N4gW~G^VtqQ
z5FuRf5;na?>t+l4aI~;?!(&%ey<K36b*@XDu!=c@n-koWXkkIjZ*!N^_TmL1{>nd2
zVtyM1gO=6vuxWKx)B{-7!J0iCZo5Y6OUy^G?`m06Dtzqjy%}P@f)!q==L4{`*Gj?-
z_;;_X)(iN|iPWt~c>C3*qf_v__UpE*Fn3&O&jj3O94HqED?cp9z;fbyH7VsX+#)(-
zJO_^(93VRnkM5na_zaU@GI2Qv57{xiT!haW|9tHNYh?YM+JJ>#v8Oq~KB>n>*I^k?
zH-9rYUPx=|AFLeeJ8A+mX1H5#!lxs5>mP#mZ<{$%2q8aIg^ToHz5M}`WUzE$Kf5}7
z<)Y0z9X!7E^0F$-?-lMq3&#y!`5*_oUbA=I2`Bdk8OXwA&IR_2u<E<Pz5MW}`&Z6z
zz`G6%T<3+8;<9JiV7icipKS2A!n2D!uu-7jNmf|PB;I8=94f@uMa*y2a?r|47#412
z7pH||BU4Tbz`apkR2!I2OeF7wrx<J&>FE9wE>QLTAOd&XrGG=rf95ME^HmzI)BdMI
z%zsuHYv{2L_G~LInun`xNPYIhgA{4Bb8wwM*OCI<^hGyd3|`~!|E>n7zuY(e2Da7v
z{aFPr*%?*a3D0ueU)6>KPIz;5z{Wy#=d|FQhuqPPFxQ~1|6%y^?d?wuutVng6@A#?
zMA^wI__83=ucI)>^o@o`a84P&pD|oPrY2qtQ!+LL9*4=Kx#9|8HtX(nb9l72^LGwB
zc*}0{6kL8S&n6r0%k>Dbh8z7&dsE=)n%|*Lu+V!EsbqK{ocyl??0H}$GX|de#!2G?
zyXptpN5LDNyCc0}kEdcULg1f#cVjQXlveA~!7x`Xrfq@s<O_2AV2THKSg*l7w-lU+
z`R#m6G86uTJCYU#-QdeivDqnbGo?$43#`)?wksJ9+rvR-3;%Tp)9-~D6yBB-^YL*d
z-tXyyotFf(tl<y*OfQGvbG^^*TERsZRgRCq<L4>m9pUmk7N_^H%o(|LVt;c!0UnER
zUTq_%H=LSfb7=!+w-_1sgo{Z>L;u1xCv5)_^X&}{8ebz9#``t-to;>OWG;c065gRN
zyb=L_U#4MZfR%av$I*SqbM^gk0GF94gtD@Cl$|}x9@#P@E2O0eDYM8{M$^tn8Ocb=
ztn87M%tB<uH#_;gKEFSokN5k0#=Ym9dq4Ny&v|DV2g9_2#`h1vb2>jJ3EQvENHc>S
z))(*3A#6XFvnhO>uthB6i8xr@pI$@|j(d71m9TzaZSnbHAvkHKNhlfir_>!d1K)dh
z_zGdYzsbxI6D#=j_{exDJjiq0^%C5c-A#H6PGG8<@P-?6)2?2J&3#t>M8HXv9x0dM
zu*NHw!eRF`Df091{8m!v6Ift#Qi!nq%X9bbK7z+8U#1e)H{9r~p?U$I#6!wfFiDi?
zodTGn_uFS9Shth=VLe>MX0o6QADfC~tb^l5IBnJ8*?M;FZrFpumR$u_nz{9)6Fxt8
zG)4wyzfIP#3v+nh>J@>FXN{Hr!8zwl)p_9xx~P-nytp1zVw%Mb|Fl;7OaYH=2T2`;
zU1a8mIpA@67fXIvc3<&XE;yho=I1fk>+`Iu5FDu#s3QvVHkAGnhC8RSzDmPlb&Jaq
z@TtHU1;YA~{o^&)rC=%A*KLaMn<LwSiZESQs;B}S$d(nM0)O)TZln(<>CQxJ!AG*|
ziwWQVy-*#U4m?>gt!4^mB~vgN!}s^sWg5fJ89s8E!9QM;H#xy|SLg+8VKU!gK1Vo*
zZu5m59J_Dl4PpO8ywoalfl1cd4!gr4S0!ZKVBTvBd4%!AYZR({5uS^zq$I2-sVaZ9
z;S!wlXW*ePoNm_q*$=Lgc)EQJo^W|<=ns=b)<g%vw%N`$Q81;lf+3;5%f&j4--BoC
zEyoD`tFDHa=rt_N@VTB4k4$C=FNg2NPnd?mhuCFH7GOm(;tfCehQ5o;65R8TA(Aj2
z3|HB%sqo=^LO<Dn(ErHdE^Vp8jrTG}3F}*i&;%Kmz^#9!xX-~qzL5`<!q4tWmwCdg
z=YFkzh4U%jBoX2<oOc7h!P&8;yk2lYv-Lw#emo!f^%E(f|DL}>#Yql}n%6xb#AQQ6
z&)LIge1czF!`5O2Bet+2TLKSZJ<p)vjnzQdp)Na952hHVyA%K)r>LOQfPcwJge1W_
zOW(u@>xa^;sQpcViy4=n5&BQnu=d_exVBK=K?1&)Z4#0WTdq2G2*I($TK6mA$DM`?
zg#IiitaYFQ9^7=XWrItscsM&@4FR!$!?4vD^TT#nOhRYw0Q`Q6z3+$s`h$y7&OfZL
z>S=6X!vR12k4=UG@o#T_d!2wa)U?cq;i?x$|C5FPDDzJ3gI`fC{?mq4c>1yk`P)O{
z;kq!BVX+h~y!L4|-Wtv|Hu{emF2AUL*cN_}FBrxMCoWR(c)|8<<?09F)(dv|7hnhD
zm|hn6{wuXt*I=66HVI}p%KWjkFI?=M)xZT;kGQGbfpdr%L)c+C+t!bFVZCRw2L<4i
z%+mIFI4Yd=3LiYK#cGxaf1+L@CXC;IEu_{D;ayfXClQ!A<;wUYcra#hg)m;<WoXYA
z!gW97OT=Mc&DtwPa6~ATx;*^s=IyX1*x`Vk17UwPzaXLd2wSlo{jCHa9<FB_gX1I3
z_shXW$x_K9aOvyFKrvV=Vfgtf{PcQ48ezT}eWAhi2j&U=xR(buapn;C3$tX`yAi&x
zhemk%794wMv!4mx>b1!w7R2?K;os7P{hM~ZmSYcW_*x)`uz&T(<M}9IN_IBV{qR>V
zb0%_lMm=hB8~dBC><Ie-xZ^;e+7`UmBq)U%R<|iDCakyXU8DAd0gh|UpdqZs`+03Q
zjt;&zNV_-+cipXizzkCt{?#9W6?vIxnBZ7XshThFt+;juPB?s$jkOmZuMej<0>=$R
zZ`Q$M<`Vn);P=H>tguM5>bHgH2p;(4RKdpznBQ6|`Y62Y6vO`p9xjh26Na64njR3=
z55Bs6j7kDd;K=zySU-4%B|J<F{>?FZE(`9F<BpPrGpDQSGvL5$t%1_8osCFFJZw_q
z5TXQIhmjEx);o?LEZtUs%QloRM!?M*YI{z?O3e%%VesH!qQ5#El5VIJ2w&-8yR8d9
zImq?c9}bIqdqoRoS3o&<ShPgZ&j?PSaT#)hrDLO(4d8aWXW9<%=}7W*b9kuV^SK?Y
zDr|De4E`IHd&nH_`S<CXEu5Qo@tP@Ia_-=gHC$9*@Ix1_p$q%t1h0o(($Iku<XbN|
z!gHiAN>yRj`V&{r!vmh)bSm&BZG(#|oHI7HBnr2F;P>=~N%M0IMc{AK9zVR`vBwkd
zcwpH}pJ#pGpZlJ&al>ZTROhb31<qgZF~e%_oZSOpSKp*L!us;wp4k&OVCoZHX9(-p
zFFoIw4u)?ohF9)~C0S(7-iFB;8UzUIg>!ZHc*Mi%Wjs@R;ByxHe#F8-e;v&>vEF!Z
zm&t50Z1RJ;jIchr3d>!m2k^xtJ?<r#(P00D95^W{dF&VbBwukl3wC$yH~bFYerZS4
z27jJv7a**s&P5e?qXiyjq)Q>Jw|<n*HE9Jl9Ll-a0!xQnrCx@sT<1p#^$=p6zq3*b
z;r{xp&Q=X9!aH-H0{&x_c%D#yp}&{xAr1VW%kIZgc+--C{s6oyuYIBb)}G*GIz-5y
zFL^+ykFhSqnZN)q2yBz4!z<BJ$!zdIkmET*J%}G{Vt1M0m+pVm2=#zo=PAT+!M@y9
z>G$B87t*)bVJX31LH@9hqih&IJb6-ogisHpXHs&97cSnDtWT(Sp?_JNSQK_>_^-el
z{(Ob+j}Y8Zd?%7npGQ-eWm6o!*f%+21Cymw|2hVjj$Usj)aOaQy|E+%Yr1yw>cCU-
zzul$b?ri4!s<6>&{{<!ZTDSL#GW^xO!9gCjtS9Lfg|F#nIIF{(#ump#U{9%N3l%ua
z{?~q1SVzs#Mhn(5R`6nmKTDZ^IRyvNMGVuz$*g=s2C!;=j~osBtM`zJK5Wx@B%d5E
zygy-K2Fp{sQINs@r1jdyuw2{D)PJbAlC>CWa0V9iI(d>%ABZpaO0y+QP99%23mbVH
zZ*_n<^?K=k!d26(C+*>JU5;Qvy`b5!UTs&HPugK@1lDMNSLY0WepqPO2dk)Ywfewo
z>6}!A`aujSWGAn}-ooDgpWz=@OSA)EJI$;?LcN~K*rd7}aJlrdRxO-%O1?Q59$Dkg
zCDiNj<zrE~4YTTBW-N!NyKS`NVHu*9?h@FoS-LJ3*1o~4MyS`b@wTfe8CLUBefAu_
ze=Se>0enI){=hTX^I4Bp4orQnx8)JsdLjEm7Ch?0E1v{2WJ)#_!nIMVsR?j~G>LKn
zeEq)!3PL@f<!_8y)v)}<+J<o0F?_7H67JZhle`IgY&bQ3fXhvI5&~c*S7D`E_}HoI
zM1*=|24#6_AK}YtVfL3{wdo7hO>kS<K)XBaTWjCY2m3YtjC6r-P_Qe0fh$#&Hf`a>
z{5_|Bz?)$z<!4|zins43VNSjWyvFdGb^iJ}*l|2Q#0XYo8I_-fy{D&_HDP=C0*y^r
zHLkZv1LnJ8Q?m}sR0$tZfU`2*e%OUub6ErA;PIy(a{u5wnX7YRaIGST`T=45J~*kH
zD+*g1eX6F0sWvhh`QU&z7aQ2%1P;$`E;wrRpdu@5xZbGB49Aq5Rpo)rv$LKahL1nn
zQ^f^uOziBZfw{sG>crtE-o>A(VDmd7@?x+|7nK|dteNJmEDQI&8cW^-b2?E}$iNo9
z3gnxpKli8cR;?y%cz&>M6%NWeD0>S2XeKSb06YKDRy2Uw-TuY?f}f`jz1D++D{cNw
z!rnLJ-`T)BG~cVn;9$unX=~UaTuo>Ic4=6WbAlsUb|d;=4Gq82vv60A{TiVjUPRH8
zH|}tDJhNFVEd3wPaW}Z9+pnP>{(9o1<VD!nNsOxwcGCD%cmejLjE}E`YpHh1Zo;m1
zfAk3T_zXk?L;~Skg63~uz!W8MVqx&VUwfDf;ajOx`5`drk#l!5;r(NRC5bT8K#9gP
zxZvAUp#+#mgrO`M9%y(ioezI&UT95#e+h8Cd=4M_XRHtj=MS@2*TM`Nd(FaN%iLgz
z_izZ^#fAWQB3MOt5q>s%<<DhUFFU4w9-iPBId`7WzSW?E^eFn@KcPTpnBF{5lLX#4
zl>CcO&#;!5#exSu8OQ2q4p(RxcW}W0+EHEl@U!%9LvnDz)9{~K@Qn686Is|ue$7$^
zZW$^%qYb;XMIBUxDbo77HDTT8zrm95z>4RP1^iDgL{SVr@;S!X9A;r(Efj$JejPgF
z0^gbObmfIl3`umKgC~~8`dH!pQOjRE;iN@INfww|naaQe{$U%HNe90g4K(wIO=ExA
z9)M@_<J<h;X->yBGPpWTqw6-DV;U_)3TGTO*S-Zy=o6=Hqh6$j?kl4>xNpk9bOR3i
zuli#QA)mOZehIeZc4~b9C!C++ScGj7JvHvb4)eBgQ!v%>m%7>Tg~ddjNjTz7Nqr`K
z>j72O5bVNh&|Cn&5aT*D2$x?mRL+OrD?JSFghk%|P%D8sZ@rjoht0dbSG|ITR`^Vs
zV7qkEx?0#YUxm6J7H;2>eGeC^RtHqU@67HhHp6~z>IN&|>)N+oH^QIG6t!Q$MFpgl
zZSZiXYEBV+#%1$(E6gWZ!;k~ZW!{kNg~L{BE@#1`JYI#}aN~Q~iHER<!pzGd__BbE
zavDq%Ho!j!7g>}R#lw2n4TQ(xe3uvd;^4J#h0IZSWJ}OL0-iB>kuwd87IO@Q!Ow(J
zk4(Wfg^x7}^+0vHNw^kZVv6`If0+K_Lh3J=-+e#*6*yqo^zna$_8vPIFToBL3Jfc-
zws^pp8+^Cy@!>7_)sUN_D;zx*9Jc{Cl1~>B>XrH*9!(??!S4a{&b_v9&c3>RyND<M
zH1IQp?T#=Vpg_E7M6%BqE+5zkCxcu2OHb;+@=dyt`(c+W4>GjiW=)|z)UZQ010A8>
zs*+<J1si-@sk21^rrA!r#RB(Ygb?bxk_nE7aKrWq0x5+0u56KSwm9Jz{(0m=aKF+u
zQaN}dh4~0C?6Frp@B~cd{5YBwE|5JP?EuFypS2~_pB15@Cbfr6PffS(gL{`K568k+
zSbwe)!HN>j&*I=|KfAk>FiHBk@{h26pDyh`)W6l>98&rWH)U6+lOx_;rl2(eb4&`o
z*#lb%ynR0gTN>8zZ6cpOjO^1oy!m^t0-=5`u~UG`8f>Hbq~I6a6&Iua4;CvXrI>@)
zjjxMu!}sb%rw8Gg!dp@#qUi4_iRuIJ^1OP-Z^T7^`rNz(CuOjAZ@>okM~A#&Lto)n
zE3oYXSE@dozr9+r1#bjI{n3RjPVb}>K95>rVXqu~anFaWU06GUPD~a)*xQu&7d~Gh
zK_dWf72kS5iuWI(P4?u2Gj>D6_Q2h?6}k+t=RWB>lyD_0)ANHcZF%`W3fO)-@6bM&
z<&onaTKI$``PIGf`2KOf1MpyO%H%HUC3j2GN65e{TVloQu$SQT1G4a)zmHUjkbiJg
znAr-p?@BJ&L_9?7ZoCD|^Z6LpGHjY~I@KG#E>bT&4_6pv(_DZr@3qbO4)0DjG2Dd3
zO$zPC;mo)6(E)I~iDvr%EXgF8a1Va-HX{5BEJ$@}Zxp;X&b`_S|4rDS$%Ow<x>0_F
z9rNF&X2JD&pVB(v_;Ynn%HSvb<Hl`ppFs?NIed9ZWs>lECsrAcwZkN;>T87jfU}El
zI$$23XAy&N<do0*Y4}9B|HEFmqx+23PdLu3Pxu@B$KBk5=@`zxe=wQ!!0zM5W6W?#
zsrTepct$sp`73;!x!^__+#DtqKM0E*cbzSOtLUUte#7#71=~5WPF4T@CHNGFyXO;_
zg1VN0;yBKiZ%5uF)Z_Nzvb;wIbKC1I#K8|tzsE7c_f6KbqT#ZzYvc@YpLr#H7;N=P
ze7^{s*ptq83yyND4i$zss?I&Q4ok=j-Ia%R>wf87g>_a7|H;DR?XTW?z<Yv5h}7W6
z7ZwklhbxHfeN|wG@zRL1@RCV+fDydUiciT7F8J^GiUGXm_uLCJ_}E+XKj!e}NA|s@
z@FTts4>Opv`G>DAEb(d4%N8C!#n`J2TmE(aZVjI(7*<z>?QTDu@qo!D#Wxk<(yo2>
z=iy|}O?N4nx0K`TWw?Zgqfr7r*%s4(5xz=4BPk5;>nQws3udhmnB#~2NEwWS2=4xU
zh8^zYJz^RG7uHdgv%xHUp`XLxQN=!92Dl_Uvi&|BV?i`b3!kr>)kuQ>t+nXxg^M_6
zPCbGJIfrw|VRMR8HEHl?{#?d?s0ZIkD)k{B{!sF^bqglh8!eLu=Z@S_Sb>#tZ^{<K
zekw7^zv0VQdtbhU6T8ol|AfaE3rgR^BpqjJe!w3Fw*=q8XTt?V2=(ggS(`-K;qWY`
z$wAnGn<lFjK6ZP?xC?eXx0u}vzbyRvq66lTl40$Eqw$nsGc3INlYJ7t9TeVE4>wK<
zKNyD#r_I%?;ZCQ2$v<H(J>@5r@FN!G{WFAoW}5xQ@P{))wCivnYhV2f`0g?KJFBoT
z&2x!tIA`JO-5t2}MOaKGToQe7cN<P6x7<mCiFK2Ssl{+S@~0?EhK0yK`R#+rw!U)5
z!Uyju2eQDf@qvR;u$!~T3KP67Wvm?ndp2|Y;Uu(w%$9W<=JwF>;DD2!FCX-S1D|ht
z3c%47RTr+qj~Tfp`3M$_8@T}cbzYm2hI@k<l04vL>l7O)Sc2&nu@iiKK*3HCj&#hk
zI}3Y=+Vsl9Z1%U>En(yEtuN|uu92Le1>Br-SWgYUR7#s_03RGG(bs_`^*^rY!8DC+
z^;!foK6BE58+#lZjbJfLlXq(H>AU{&hOk?Nu&5k-^~yd)3po4I*E=WRq!rFmGk8CF
z+4?b9pt7*c7LHAIFcF1+5aZV%eEhy_JukeNb?WFj_`i+`HXc~N$}+<d{w(%3ng#BZ
z9?U!s579f$Fv0zdKbhR&@nLyOT6pNfIhISXlG{kh0XUZFa=bSj_@IJ|96qQ&lW-jt
z`fL$M3g4_-p|}P=u@j%)_Q3O+UFRro!s&ADnp^No+6%V=U`?sKH_Nd4_TcSM_-Umo
z-EUZge0(h!4rFEvo`FxdX>LTqQko^hQ}CWlJ@31)>i!tL5x7F5=wdu<G0C1g49op^
zH5Cg#q}gWdg(cnGem;fY|3}~22{-aN+dqLlHJ9Z-!c-L14mt2mbH4{o@U8gQeOa*0
z0SmHsa8{z(U>W?t^-OgYtSPT!SPFkXDJxt8PfPQdw7^W?(&b*j>_!JZeS!}?3(n7i
z8<*o-2H_-H2m5r`O6a=k08Fu|+K~ePNcyEd1JlORgx-f|XIm<#V4}w>EB9b?Hp#cE
z@N=`$=Xc@Jcxv%KFx}nc!?)q0FNspr;^@!CY5W1O(p#s3eek<ax00{Gfel?n-0(N2
zvpE-FS+*1&E_m8Oo6!Y+oJcOH22Z3Y1=+)*CACjfU=}&SMRWLAoqX;sxYpUMRvQ-h
zGr$@I*F8UZTov}KN)uXyD|)6`gka_Wj=x@l-yEJV5QlxX)+=ZvaQ?%taPTO6-R`M6
z9V|+%lqm@xNV3xuhpAp@QHsK+I2gJm;2d?$G--I^$XKr~Y)<2tD@Mo{$h6moIS$y#
z$iWMpL1%5@0OOalg#4j=-CuU_vTxoEWjHK{aq${#aV<E4kbm*-f}bz^h2+K|bvU)|
zO+XynurAD_1cyF&M4kXkFLIQff)CbT-<ts!=^b??<afC`CuPEU=h@eE;T?X_<Z75b
zHkMcuZqOFss(}~jZzUSSa@`9&U*NCDK0Vce_h0(+vJduRdvnYLW_%P`wgW4(hc6J~
z+BDh9yD;4!@0*19U#>h&ElK=;^>ALg2Hc$P_4X9pyW2>s0J}UoRbv2)ME^cd_<lXp
z6yo~ugRlF)61G=S&9Jx`tVSy%d7RMx%cEQqSh&eFiyu~he<IHb?)6GD=Yc8Lm)RU)
zGVRJH7DD@d)kn_56xDs~%<z@iqZF?2kstKC6tGM89ECS*Tzkxl9QI_(4D^B}4;X&h
zIgjx!Z+p`R?n-pw`U~GOp<B5Ei))7`{0AS_Z(i|-Rj#MaEyK*QqThVsmu5pP<1k;v
z(6?Lg=C3)PG1xRrr8y9;`5{c&0Z)CKYz~9<r{wI~V0~$=;$YZm<A%~(`1-qv;z(G|
zDI&QF{(U8p?=GC2lS^I#$Mp;F$HViLuN+>%8&>@fW8n`@U7fiwU8?J&WcVRRzhDl0
zapoZH19<NEdg^0%BujuU2X>xb*G+@{7&^kU;J<7vZ{y+41e1tDIO`B2LmYgyb8Rah
zeqDAVECMdQc<FB)oM?S8E*K`}p}PD5ZXJ=?^@B%`Z(QzzkM5-^xd!Ku#!Pp>l_g?a
z7vR-?ubEN!JMmi2d04Z3+hzp*)WfFX2vfRr*e<}`y1jqw;PpVu?q4vS+P1SfyfahX
z{U4mi+WpQH7HwD4T!GK~ZHnr_5fgtkiKTEo%j4mg7JTLB&9_AG%tC{a3j8sl@9kc=
zj4Uos3Et~!CPo3DUaDl0hBxMN#c1H+;@g)c;rr1%Is4%iqQVJbn0Mh)4kN7Kbx~dj
z=C=LC%mDXtKP=#c%~B;<*x=C<HY6Ny^_Rj}7WkK0#MMLa{rSaMZulMj$u<V~{F*Zf
z7p#|ZQIQ&6n9U>+f~R+d9_)i<>JIq{z{|7dWW=ynypi8=*y1m>JrOJ}T{kZZkLb&F
zth=K>j{ljLh7VFM@UOuRCeDshFyja2lm(b*DA7?7X6J8N`UQ6}5%tT%Pc_yZzQdvc
zLjCG+kZE@11l)aKPpt~PyJt7G3x1fvRjUQ(2jnkzz`m>ZBsJjz>H)`Qn9BLNq#-ON
z7F68`hlSJR>BFxCUI^E~)17>IW-!aDQD`+xTzikr6s9!|`mY3*nZmzM;BzhP`o-|y
z45EZHa8Im3&2yMMn>xXfkY7B<kP8PM^CmkBuYY9@e*#-v_9wdpo7(8eJcNze`)_!|
z882?+CcwN7{Wq?|%~aI8aqz^@@kJjvsX_7L9r(eT@M0ib*w*?n9A;GsaSDK!=l-6!
z374Pna|(sYpWclRfGG{z`-9;+?rNf|a18hR{z!QEmin2?a3wjN-d%XVr_X11Sh(V^
zZage>Ws}Pd7CUcH8w(FK98I)`@2^VMCc_&(MRT@r(6tcB2QaJXxV0H9*RCO%14p+H
zQW?WUm!h9%!Q3yX1GV8Z3U1E};p>k=zi7gYFN#<T;E?f(lge;ouqA6Xd~xUDsyrOX
zm>O3Juef))NWgs@ZgC&r`^k#$#o(mi9Fkf%*8R#cLHM`ZMUs!OuIg|EKU|Yi=-UL>
z`q8Z)fkUz+ef!{C*TLs3u+Q50U%hZb6AjZrc$`)6*DxV}_`)Sxm}VfMcMvAsKXQ84
z4bMA?YW0r8=VD~@ci_1P{#s*jrNbrWRrtv#VXYbXRMe--|G^P2V~_uUjWcCUCgG5S
zGRNm(<`c06<M4Du>fu><)%{;oC#=MF;_x!O>1O=B9Twt9-Ccmw%jz0x;Q1-h-Boys
z?I7D**xNT|W(7703Hh537hhzV*@DN-yUg<7zBs?mb(pG8RXPREuln1u3;#G69rFNA
zFca4J2XjX^?nJ|-*7@q>(s(|?huY#EteCs!C<#pU^`?wJOgZW+Oa+IDG{pK5@?$ff
zQWE0KfB#*ChcfA((!u?V%9h^n9v0V#1MpF&;uCi8Z-<WXL$KNBr8pbdmw#=O0X`xm
zL}UuHuT*dF!XYwGijClyZ{NIl;14weoLaE9lbqL4_@5K?jZ?5Z>zQ#OxX4IrRuOi&
zSv)2V8>joJDZpc-9j0Qi$A4ud5^$gfr>QLLyEs894u_{He3XHS@{afm!p|(eG-<*%
zBi_P%@aL{sxl^#+yTXTTu#S<KoB>?4-m$_0Go)%1>A{@J)aMSuf4?*q+Q7^!TJ$t9
znR*Y0HB9Lc5lRj>oYG|XfWIh~Ns_=E0|triux8gv)|M;wU&iZrKX_|^)@&WVWch~F
z7hXy*Zd`<`?MilY;S^rOFF)X^oThtu@XqXB=LNWPgdwUDrb(NkpMyXDCw{0J4hwsl
zwE~Ni+A!9`PqxFif5UH-Ze}#V%I!+`HetbAdFie2OK;Bag!fna)+y2s`|uB3A;RaK
z(Gog30(<1ea_=BMe&tNXC@d7AQA&pRfhTv~OcUC>GVLRUbAHvR|Ab?N+tR4vHq8aK
z->{|h<K=zu-YS8PWf-ex2h+p6r>xsI;qweELv%3JaN3z|I3&B(ov^)`Q#-6kWH8^7
zBz|CmON{BKNa4Ny>ZiG2<=3~qGr;M-b-PF4afSAahv0nrOL6?L#RTa^c6hNwaE2GI
zjJDk7fcHuDUl)b<pG(*hfFu4!b{vJJBxWOo;6i5^dnwpijxRzSwzixqC-kQ?A|VGQ
z;d?pprwIMc(fI?N0(`k%{)rqc5WxLZ5zbosA)*dj^kzKPhgB{f{iY1-S5gZZ!pA@N
zdJ_7#$Do0r1w6@nse#bHRVLoOwuIZA51Sgo+!A|UJHUl=FAMbHar^74j&LHaxx6_X
zKK@qaJe=@hCV?=X#KmRWJmAZ1(OkB$8CzqEKP>2(-DL&qD`;5;!p|RTopprkv*Rqn
z;4}ByDjeX~Gl##2!!4QKTJD7QnS~P%;Gy>(YtC?bnWA?J!Q1;HF2F~>b$dOBcU4!V
zJmA5%o|}2_ovftBD{z^s-ueglu3%3KA)mQ+IkX-Y_<h0pI{bQrF?bTTzVfw#FrV=I
zwC(=^$BtgnBFs024+SYiPT+otS&7wom_B;XeNnhRQ~l><SaM18P7!>Qf#i%O{KQ&v
zs}Nr6xcQl|{T60c{|v)5t2I3*VXE$Sx34h$R|O5i{P9_U)@22DiOtnI0q=_$9rz9R
zS_@Pjg9Y>HztGC!_`@wsPna*N#=mINz#mhJLOEa|rLmJ7aR1-K;)MC)$fJi9N8pIG
z#~FnFeXTmBTog_b-Y}$v$CV8PMd0Seo3#`$8<!HlB0OK%;zbxg2ixXT<>5yu#v|Jp
zZ{n9blXc<6+i_7FaHIMSN*$Q%{^9K<c%{sFuQ41aRANk+FDNaj1B~FrEV=qAIQ!aw
zp98#y*6HFT?5lj^mmQo?@@s4eUgJD5djWRPC5!2YQ)zo`ykKAY_?>n*fb)g54_tlw
zuvr`YVf<A46*#Lnv#|m0QkriGfoI!tFMohZ_--o&!w$TXlNIp#NoIuvSnh&g+-q3G
z^m$PntTkW0TL|xwkt}=$e|CKQA`jN_e0$_6d|~g=BkAxCtvu^XxUhh@<uQEWLQTvI
zc-}8j{yrhzCwi|2-qEs|iHGyf6zo*P14{FjcVW8l1KTZdms~DsI7}rLe&I8$Zz+2%
z5Y}b?<}n1T-~P^Z1J3@fKQaK@H(gJ>1YeF=86Ja|x0-)?!_7jDhNJLguJsvL_<dr!
z-Xg4H_M7Y+oMcD&ejXkd2)}L(pNmv@`xg!%rslDPTLPYnZo}_(GLj78iyjTaRC4%#
z1{sU09vm3P`GgXV5-cfJhuiz>Qn}#9LG3anSok6%6(_9xV}eH-9=!IHTo%60Y{@SM
z=SBbYlY#H<Ur82#6^6#HX~K7OL^XKft;4)OPr~LdpUYU`Ki|@(_2I(o2}%~2bYa*^
z4>l19@~4AsU%xfCf#3Yh;y(cU&#!+x19K#)rI5kj79E=%;S-ET3nZ}J#v|FYupj?|
z-L?y^_xBT>aEEW0t(R@W)g`j|u5d!z1Kwp=(JS@2H+(DivHudB#?--l0rm-3_%#iS
zzY=7+2Afi;s7=9SqP9_2VRqxul5cS3vy!_3@Jh%i#V~xJit&OUd@SV1>}UA3y_4r{
zc#@M<<rA#9l{gXv8-A^RRSWM6{5l)~|Klwudk?eE?llaD)lQjTFNc}5^z>uk6$Sma
zGWd{6j#v~-`#ZWQ6Bg<kJ(dWUn+B6)z$`ZVGUDOb87`kx*zJ?@vs74q{a{Nnyus^E
zmjcf&m&wP%Vcsb;&)}y;8S&BZ+sE&NpTN8{8hgUvyY)YB<-k9$i&}=j<VsS`negqR
zOR|??mSl6M0$3-+D)u7mK6&Fy9&BZ~_0JV<JDl8849g9Unz_JVq$^Lpf;kw1n{44|
ztxoj{m`%-z)dud%pcQxxdx|{&s{?OLv-8!!H=4suv|&{q<&<jp`!&G^6}ai7)`NPO
zu7-qJ86Gilrl^DUdvYVC;g6@?$v(rmjX`6Qu+_b1vrX_5=cW(b@Ryp0Gwp=-jSmlT
z!RE8C&$Pjv2FiDsV2$+x%P;VyGqfXz;ODFLpL^hKo!15jV4Cr=k6+=gJ)v3Du=DnK
z;Q(xF(HgexjOXW=Kj)9Z4go1&H(@`SQPxrT?3jYyGR!Pq$2<)`Ehf!af+;z_-1`B0
z2jtVuz*6fak@N8EhPT@k%u`vvJqL#iGYo!%zj;2|T!A&r`bCG~o7B}KOYod97flPy
z@+We59iFNicm4$T^`;oC!Aq_YeYG%ks*~P7_(XyF(f9C>j`zF2F!h_CkILcVImx%A
z@;JZA$yhFfQ@oW#NnjNwZKp!`;QWp-70mZ~ry?KzcJKhrUbu@|FD(^5-`GS=3zHuD
zx0no@y0rxzfcO2)c8G=JSAzl%!6_wX<<W4yN9ZC0eE#1yUl{zPPi&qIHanXa5CYG#
zN!qi*3-qVwZ@|gU!!|sy0{5nxAAIiMhzcj%{8yXD4L%(ks3Zvc`Yrjnz(aomUh%{3
z&r)V>;TVHMMaSUKkMb%uuw4W_hbXLM{{58+Jo+||O&YEj3MDg!NA%N)B;eS}FViY;
z{Tq>ga&Yk0WkqFp<AA^=SvYZ<rAQjCFn@VL72cVBO)LfL-p(CUhC7YzuO5Y`vIIvo
z;n(wjJ_*6Y>Fh?QV1u_$<+$K88ISZ0;1|RaaU6trb(okgEJPo1=>R;xv>|E&Q-3<t
zOby?ro_}^4UZ$**AtjjI=7|+-;%OL744?5;4mO9Kow6=0pTqsh_t`;qu$lO=h9%f+
z>;7*WIB<GUat0=1Ut2f_Z#bTfoPy84>FquXN2|Q?_yUg{5b1P>p9m^^=z;fmGOM}4
zWX98CEpTwUm-0n8Z`v*56I|?flG_U|D|qi#0U!Dv%i#mB6)C+dhmShkNVoz&)R`46
zg7b3U$NIxJHl0HY;eq$@SA5~ctQzNsum#SyZ^75<q^nb5+r=lQf$*2Gm`8Wu#b@28
z!(eh+(&cb?a3NhP7}lD%>G6SMzqE=+!hBPm0#{+LcWI0fu*O#bN+;NA=<UH+cvv;f
z{wyqIcXurc?lD|eF@il_X8e~3bMTyfU;t0tH`5{H_xGKfk%U99I%+1v(}P`#67UZ9
zG2tY5@SGq!7tC-%Lf{en;!EOH4!AUUXJ0Dp<Tqz_05)meph$-|EldiiVa}5JUytF7
z^ab~}o$&d@%713Vy$&=Jo3KmC&9)5qpOjnuPgvL0?Q=dXvGn=y44fHqtSA>|7~$IN
zgEcPD6ug94$wCajz<+rAVhZ70s;|czVCPdsQDtyM#)<Gc_<l+3-xAnx^!sWhobt+X
zvkIo*Qr4@0EAqHT-oQ!wQ$%v%tZ%=D-owK07lX6mla~wLy@kyiw9X~LqQjom4RHU&
z<H`j1SGkTzJv{wHM<@~w+94BafpyM53c3SN^uDM52-}*iI$VdNjjvF4!o@Ks%Y9%u
z1A~BexU6QG&kKH(x9!^puVg9(c);GiUuJvZC$hhOIl?i;H>Zc;)>cWivv915nblYL
z$ft=COW5oDhS?;nwpW0{0!|-oYaWMXJ^OqOV2xhShM%yh)!}wMxR_O0dInzMYF5&K
zSr-SymtfKw(j+ywg)%Q|0XCQ~BawrNs}<8%VMoa&s}peE!LOk!@E3AJd45=Z)8+OS
z{NLM%I9^yyMsj5X=5&xDVuQ=Ksuqb9aQ&yw)0_pSqzXT~i#TH|Ycm~eQ$%h@L5P1f
zV5NokC3JR>!8N-7?oq%hbo#CP;Z1VU2{PE|(?KO_n0|D`c*haPS4tuoHn{w;*xyZf
zcK*Y27C7wDq}MWB^d~)C7`BV%KfDO9lh_^<f~QJ{?o7d7iIOSQ2<>%v?u^5%543Km
zz%*wD*9YK?d&g{V!5-pE&syNWXB*pZ!iG!vwDoWT({6Sj{4QMJ%`3S4a)RUl{Ken-
zR3#kj*G<Qvi2JS4r7HRGqzZfJ5jfE)us9vw$%_aOg(Ipe&OCubpR~^(g)1sTTJFP}
zt%6euFuD4xs|j$`!g&jMSj9cy$6Z)9C&5G=CN`#)y8}x<>S|DhcSi>EgW&sO|J7>4
znm(@o0^u)P$Hlb>aW~0}J}{%Vfv6GOS@^Eu3T(~aNTUynkz3_B!WmtIRA%sK<=CbJ
zJSSkdcp83i)PL9z)}geXvx0dHc8?ptqnb%Jmhe(-Tlz`(1o=Zt2bdwwa8(^XokJ;a
z3*Voa?H7kf9#P0R!|8nIkBY(EU#~Ga!k)>b`#Io06rK#{VP}nC$0M-M)WDhxe6@{D
zgBpIU+qiN8KKnB{WgqOWw|UMBHk)?dOANn=9e417r(X@*62YFYwbU=ene2YbOK0(X
z?s0zQ8?d<LeBuIp#LViIFTD1#nq&&zdLdqT3zm6#)apANl<UYA1eb<yefkPVjz}{_
zz?sbMM~2|1h36u};6BR}v0d=c2Z``#I4~_^vI7n~XTKH&J1Ji_ZH8AZ1XmK_2GPOi
zjj&RO@wo)pK`xJ}2A+9#$RUl;zMtwsHQfD6sVfEU(Ec`30#`oTX?+I2Oj496h7D@C
zm7c<{z4m84hp+37$mYTpE*|SS@LLt4f^2wyj)MCW*#61+jMuRB=p5}sc;rLG!7`Xr
z^IdQP{P@QtWdr<QnVoPf>?*V6Uk88E5PuX7t8nUE>4r~C*K35pZt2$FI|=Qdro6rZ
zZ^vzw3Mk?I{hpY(!DcQ~Jp3>fpMQfr%)2E><O+9DG@LVrxh-wt++ate@s%_19*N0|
z&tT)ulgfs$Wb*OdbU5O&ZMy|LowNOQ9Nyt7_SAuuXcP3t2>H=Zzo`=P|GS{R1b4_$
zhbh79(L1FJaD3bLA1Qc5sy%-P?s;YXSRCg3XTkCpru5X?F9f@<R5Fq(V}1=@Ju3hk
zC8$Oa!@611-RyA7xhKK<;5N4yz9Vq{r+g<0_$~V-3ToK2cgKzfK5EKfvk%@oyjO)9
z=HXsf+;qVD0!Pf`8Q{?7)cAFn+v3=9ayUDGUt|GX^piyDA3jf)jFa>Wc!8_Gav9dD
zY^rgC<J>;Jn}sv^=+B>rElQkje}@BXt3<TmtS?RhzhJ9X@7t%~L2D<DNtjz?lJ6kw
z#i_?K2Qw+8-k^nlteSdF!TqO=+ScrG{%j=XM%Z2k2_&4Wux9Q(Z9@J|Nza}iaHFh)
z#tQ7^6lOjNlloD;{tZ)zcr_2fKC?qFH{g{h7M4Lc^Is^(IxPQ|_+BSWVPwFv3qSi*
zG};ae$*)Ec_QwN<WTPfH@_bb|8McQXt8!KYoGa|GMgns(3oyKeN#xj<sR-LIwAHN&
z=IW|*B<zo`Gp`4W;oI*5Y!AY9L>3~i{@?ycJ1zXNRpm)8Ots$qkqMSf8u^_KE6ZP&
zJq*t@esp{czntQf<RDnysr(_l_U~QR5m>udpFa`yiFAL;2M?})zY!1j`;pM_!c%J<
zb9Z33$vjFCn4-l=IRc)0uI4Wc*B&=~brVkfJ>eq(-z*s=4uqAW{iej=v70SduflR?
zi@vJDk6OoBF2U6z%6clW%7^xQZZKVC&nYeVWVGp+3*2Vy_~sORe@6AR9jw{(yVw9$
zb!y16fz_06a_Pg$yd?~#@WdSoHZwTMK+N43<{n6hHi6}@vkz&*^Sg)cSi=g24@I<K
zf4*nyR)qYKyHAv1A5o5#v+zmhJ<E!)nNW_C1ANN*x1$t%o0ikg4bG2qDVKo5#e|fd
z;X{iWDO_-c@grF;xGm|;90xpkjXmE3mj0V#a~L+ielP0^{QNZID@J(#Ol;Ui_*>GS
zcv3i>>%SmhLfp#n2Qe(^eRb&?d|lGme9I2!uXlT9Z^C5HtMfMC3Z1SNe|Wp&Vbl!#
z<q3aN2s~f9XLJfqB;m=u1)o}(sQm)}OSqJN2Y#lhN#6?}v;MVA$k$dq<XQ!<-4vOR
zf}c10RaL-jukw{5;Hy1a)K6hI_t6uv@VBTuhsSUvv3+DD{5tP?X$Tx-91)rTA5H2b
z3x>1J_Vz`?yY-n?Zt!_I-p>1Q<k)VZ3!Ijd#~BZw;%fV+2b*zLvZTV37X?goVPeU*
z+k|}0B2p<i_}S08)yJ@_m))HcaMiPh{xo>&gZz1Z*dV^HD+7M^JHCb&wj@$hONamU
z-V$YlUv$YS<iQV1dv3G90f#FJbK$tZb<1?{@xPCsy@6TC>{1WF4A&TF%VA|-14?rE
zH1`5Y6C7PR^okg6SqV&PhL1JOC{w{7Uwg!Kz^BOt5-H)poL#mqSpSbC*FiWXe(BI4
zEOE};hZc^{h|C>=!=?O5nBk`Kfb<Dir1O=<VVGiuMeIA=8(KZZ0h{pB2>*iRbbraR
z!#}Q-Rn5avlYc%EzQ5|X{IWl=@fS{3K3KreRAUWJGZHEgCA42wKS8d7<E!7*)55Th
z;A%4k{D9GaOakWOpRPU(4_zt^KMsp>XXrA+X2&ZSWZ`K4BxND^ea%R<6#PcPvO^ed
zd_1nB1aI~jf0BR)$QB+ez{#&!tfXM(&x=P-!pEx)>Ys$S#x}cE;WdXJ!>8cajhkn6
zVD<KiJ_GpXm5nkjIP!j_ixKQ4zpj27rablLj02qab^511e7F0->{*z!@w=}%O!V#k
z$R$`ax$cMw{9g3tg)1;|M$HRrc<@M&n?HQzMfR>0EE4az9srv?d>ZQr@6Y#M4u$Qy
zgC`u|9R<hWaM&T!|B^dwso`<$0lddt@(`i_K7QmvmI51T3FlmZsiHi0pTbl1yX&6t
z7O_`cI&7G_8sP(Tu=qsg!IxE<hpxcy%Wg0iz{~5^?g4P}f1&iHaC%F`+Z*tFQEXNj
zEamF2OBi2^#JMRAF!^cH-$8JBNR>bn+(x|?bO)Xi>tXGKF9>?`hQYko7YqAgCvy9;
zXt+a@{^270!2WU}Azyw?LHIXZ`^a8C9)4$O&$L&S@P7$CiF>fk<)l1Hm?=xTE(umY
zSC-5LFK}*G#=`V7fB1P|Bew5aDR9Jdc1k_ir8xKpAs#y4;->@m20by4fUACg_BsQv
zyp7!=e4keLOW!PE$+ALEe|VV6qu&9ZTW5do2R915F1LmMTAfKJ%pWdfIj@{yKAM&l
z!uD6s*XB3}ulmiLvxE1$N-=xFiKAw3Y~bu6zYRCIiZ?!$FrTn?+pJuKySKOIwBeET
zzmDFpz#x+?p+83Xezmy{zqP;pQW@svxY6nZ&t^R3kb(F088-#OM1#av2>oB}baeI&
z_-mJn84tXzYWp-8_V>%k<$^O9Hum3!1&)0<Oc>u;Kk6y&!p7n39)$6IuyTDm4CXy&
zt529;_B2$DN5i8>E1#0W-SsA?@4+Ny12lhaas8%<MmGsIYCG<<1&@X0Rwck%Hb%Y6
zaFC&WSsHvaG@I`?Y$F_*m<-3#|DYIysgKJ>KZOqz$ykrTf|709k72);7Oh`kwZqp}
zv*EP$oFl#Pq~4=18St>z^llv?-&3(8AATwzY4QP%(>`023p2jHD)kCx%-YC(35Sor
ziztHk2}T|&f>#|z*Rx?7CpOx0m{yTbHw%tQm0v1>O^RGa65;v%O+Tw(?(Kr0csQWe
z#HtehJ>R-?2X<u`H2wfzougKdfF-hji@k%dsT%QKgYQdS5N?8Bzlynj752IiMp+Mc
zv2|HF!RB%s#4T{o4pre<_$2Fr$!3@`#4yGP{=|J_xPy@Y<<6J^e6)aAuN|g8oqzfi
zY@6VIvJXx-8OzjwDck*cdf*#xxx*#k#ic&BuW<KqivcnC+m|2P{czc<v?>nxuB6=R
zC_MR~g^C?+tke8547Z3JSfqw^Y!lnR!#!b&s#Ngrs>4c?uv?^k2{Ei8WiK-aYa~RH
z?12l|Tp4HJ66%hrB^%ry?8!Q?1balRomhlx?D&HgV3i%F{3&?kKYQO*_$$Bi_IEg6
z#?fL0#sU!|J@D|}1fwnZBzNxdZdiUb;n+INl=h460~|wAC9n%e<x)AnhuvspQ+8n5
zN5}fg;TQkT#FMFEzP8d6cn#D2=-(xQi_5%I3t@xO|2C-L4bHoB`S9I>xq-cKkxpk@
zDok1auZtF55u9dEfu}$EsnWpCYn1V^uvh6Fxx?_&@FSDa@Xsf^d5mytm6~Z7e9fIQ
z^9W3|X`B-Rr;6O7V}s|Ct{?J;B?dzG@xn}@q3(V#Ta4E%C(LlPUDpjh>f=5s2%AI?
zJa&OExryE4fGchnYe>M&=DHDt_m@n{SeAqtx^!I_;Fa(xEW3o~$09wvs9^`<?qFW{
zih`dWCH#)$pff#uw)Tn19++otosJQHVWpk%7u!$zhMCK@HTsLLZ{8pH3568>4%~Rm
zyMG>Twr|kxf!(P@I|=bq4`&{B!HU}3M}EWVX$p&P;HU444s8(f_u8wL!$kWhR|)y%
z4G*}p;j|C;776e7J-gf|6aG;7zI_wky|!SH06)ujXeNBVhoAT5$H8$m>(WH<kzf2Q
zcVMsYq5_2dQ#5YzJ``R$`XTuM+$8LCJOJ)uoxQ^jkJ>)y^@X?6uB{Wc|AWr5lNaHG
zt85ce@Rapuc@MaeEd8`3tX4T&=m`6h`OIX(Mkzl0y6~&qCW{Q1R_0lX8tmvzrCJ56
z*3U*O!flzRuPWg0dWZf=!j0_g=^x=cx1ut{;JcA$X`10x@ydgO@Y-xGMF(v1pO-T~
z%yEp!w++5Z{iyE<EPm1Y;ulyZNMC>r{urG)+5;2+^G~IRLtZZQe}$zvh34qsyE#Id
zLvS&<l?^4l{QQRU1Z+G+Ttoq%Zdzm;g@u_M<JQjL_X3#=<23AUM>+8a&hN<oZxYTe
zb!+$zzt#WwYYq<e*v~i#zmrLpBjmpedFcKLUNHJ3z6jf1RIYA@2aEk~&B8^=E&GdL
zeV3=c%P>==mqQ`Ur)1nT54$g}mnOg@F&^*!z!@h~N#o((VGgR_@MI*n)pc0yqX@|c
zyueVG?*nIi<o!T+y$^oA-X<{L3$DsdxMqvt!)bWhZk%it=Fodge*!ic?b`VZukVp{
zk%k{Q^;NIIjy`ij^zhwp<)#1NW8C2ZbnwyTn?zf%*-gsMbt~KtqA=OmqmJX<*-Xwg
zcp`D2pO9~9xkWq$Pt9a@kR#sqBHrvf{E$PShy<3X{wdP~hn3A{Q^DRLfp@!L-xROV
zz3`8mFCMk9r3ZfiE&ONPrRE*{VC(sr{qO~r_fKEILDXlA8DW!8`o9Zc2A!ef2jR}c
zIX!9cp@+c&EO3;pIBzQKbNWLv6TCmo?m-;<E96`(CmiW9Jskt9(WmdQ!)fC5R^jk*
z0p(SG_-k2eekjc9_qvw{4lP@`cLmmN)oDEn7vx<Vxdcz$3zZj!RVOkH-Qm;^^b!)V
z)E(}0S6JOfFGCDA=RZwn4+mZDPnCsPZninu!t&Epdr!a(AzQtsaO9ao>zZ)R?Vs0A
z!!qQWuBTw4SBHOU!Hg$0%*|oq`L(E%@F&3wji&Hk4S~N3u(h^U=2h5ltwK$jkUxJ^
z@*3Qc9M+`-dv--J$H2v0VU4nIQ-44~EIiC%XsQNBK6FWY3ioDAt`hREIXVcZ!<)4Q
zVVZEhuP$>j9N{M_paBc->KBy258wP(t_Mpv7R7&tFOa0<6Y?GOYPecqfoImTM)2)#
z_jc#t%(EMT+OT_TLHs<Nmr_Y(3<uZm@g>#3@8^X*yM)&}%pkg#91ahzjWL5ukJycf
z!fDArxb@+`jE}vK!@VR=Oa34C|Muf0JgQ<>D~I^U1D4l|VZNjL4AtQQ*-Q?ilemB4
z6zL-l8$VVr!BWB>_MSOLA`c&#`s$<u%N1u22*WSCnY*=M+jw#vZn&(6>ZKbTne-@%
z6^<=eVsnLMxrzQBgo$4b?g@e|Z%{1khxZEaxfBSK|G8jK23Itlv5$s>%l7T=feZWt
z+oIrf%PW^QEpa_&^kelySlfz-ZVeV|{~?$L_wk(%S%9-QxDV&UwQfJT=iovv`S9oP
zdwY}n6YxI<&#M*ip2>QtQCQe7aH1UcAwHJd2U|;~cQ(QNALBH8;M%T2rAGJw-QSAO
zaEodE(J!#-VI!+%IN<1~v>rG&s^;@McwnqIXb%4Qjjg&8zIwWA{wM6G7=5%D7I@VD
z{Wtt}BRk+FoHz5)cnRjJWmw38eg7+zp*V&8*{?m44l@ru&L)HTBC8Ek;rF)#5*cA@
zpO(e@@NT**5d(bZw9?sV*o#(nkq6GZsZ10J+j$<b<%VrTOE2Gs<1#07B;eqcY`UAU
zrfgk>7~I0e66yoXpYY33g(-S>xG%$>C`{;8;PInA_ub*Zj%^|%_!NhZlncBz)ah*i
zzsdNJV+*^vd)eB-HUkl-&cI_Y<y&lEx6s`;r{NMNlDc#7XRQ%(BiKWs^OzHyZ*AeH
z3Ez)M<nw^Zy2U=7gp<N;licC=x&?BIFmowO)FqhtYH*}H>>e|@?oDWKy1gY18$5cn
zcpWA^)~PE7|2A>7y#{+;)2R`F<<uEXZ^CVRSg85omora}`NL+!G)oMy_F)~q5IBrv
zM42AuBBM^a4QJO_7Vm>a4wXjUg(oj^6H&s#g3>PGaK9<j_jL=Lf86M?iGk+>#wFI^
zODbk3qTol@`WdHSr|zGkiE!e<$1dODgL>yF<KPXhMC~3p@yP0KGTbd`p4tT;)AJcl
zf`3@)1=PYu_Uqk`;OsG~)_3p^m1{+*urmws%NOvQq@}EMnC{SrodVcc$m`Y<*vIwF
zcpCik-N>~Zn0DZ@SSoz~CsQpUpJ{qBEC?1o5>%cCd&fTh5(sOM26<(|FLELtTEp_P
zy-o#ithUOW6})A)ckKb}re<9<YYv-C?h?L#d3B22FSsN^tKtr9?RcK&GyLK9vASEZ
zR_(Li7Wmoxmwf^7?82Hr34BPeiQy_C{vZEfDg0tL)Sj?^pFQytNrP|K-*k6{eRVUx
zJ%rEInw2`jNtYJIg5ij1%bGLrb|c+H2;7r!(#I6`k88|53+KNx3(|uJK8;&A!8BtT
zhehB7wM~f%GaRo)boNWZQHt{+<?sQk8A(E%{nc1i6wJ3bK!^~3=h{OV39Af|O^U)}
z5%!&~FjaKqfHa&Wdz!-q7I9zW5{JvXeXr`l%kM56mV=k7-5PXYGWHQi!s~H3#2yxd
z=MHIGD#GKp0^N?mn_E>GCt&L1nQs|j?i8jJ!g#d06H7%8t2e(fBD`K28$<VRQ{2CD
zAv>i8lV9BBT!KACz1|RB-{$;oVF6rY{J4<t`g9-WxAWjPGCOWZ;Zgskuevb((w{4Y
z`QzHB%_x1?=A+WoA-I*UfpIVVZuj)>18}@TLlY%TTWO@Q4^F<-%>3H~<JrVZlNhEm
z`S5ueexMtgu!H$6h3@^4LHMg?{^M1+Kf0uS2qq`*nxBFj&yCB6!TUZiZH&MhGN0zc
z;Tkt7no`)2bi^>(7{{{%6D$QVMMUAh6j+|ew=WBRzEjz74K{8On|K8KyWYO)3-@J@
z7!i&aFIek;c*7sO(`*vq)Y7o~mtZ$%y_R^`TBnK39d4~_nz#)&G$^`w!cmuRpS}eT
z-U#S-g4-)9t`d%KfvYi7Zt#;2L6a_U;ocSt2e@YWtDp>Q(-!D+9&SGNuj&MRS@RUh
z71)-i`sZQzgobyWAAI<1*9~TP>VF*FcRbc#8wYSJD<etSyRtHp-7+#WvR8KYNT?8z
zL?WY9R%A3t)-O_sM7Cs8W>Qv3cJh3_&!6wtb?$w>=Umr0_kC_R1%q(n_Fvzn6Z5TE
zbCJyrn5nk&5IO8TbY=cFOih<>FpK$m^Y_QiJ8*Yo;rJYEy^tA`4nJiWUi%F18}<2-
z32!tE+#G>($xdE=3P0Er^}G>gtFpRL2=luKA8UeVnh&v*!$l@ve;B|PmohCn;hQE0
zEcD@2+IKCD@HxGe8$>=K@_{j`9X8R>Tp{uerxo$F_weD{nXG%^BD14ATHxWat*AZl
z`d9Odb#O)e#6u!~aoN)8A=;OuYcY_+P5I8Js$e<GYPL<}JEzZD{Hcc7t_j~<hhNWK
zIQJ5EZD!8;0iS!QUH=NcT@cOq9sZ;1aHJTvli6k;gSmAzCQD%Z!+|j)aQ(<x<7cqI
z*kW=YEJ=5qyZ~NVJ-?$DUbt%HpAF|X&+cl6Gls<la$)ViK4C<Dc2P?8ZW_^kaqd<<
z?Dd9CH3L3-;^Jl<?6M^G-(8r(Vwv(aoL}(If#|PdbrBa|!S5P&^~Awl|0u2z`JwUi
zFW2JXvhW9sFW|(d3roc3Z9U1c^%(Z8F3*mJm%{$@%!3Eg8kxi397@H@88H3m&38n9
z`Bu|Eod!S5d>|bNXS>=i-GN1z%qD{1I3+U2BzU^a$%yEGmNc>6F>t#PH<>?i`xWVt
zXt-)X#E<Cjjo;t?2!lzU;QxW)xnG_ZS7APe*(4`;igMHG65K$WrtA!72^aPd`7@_+
zUg=r*KgVNZUa;U*1AF3n*vk5&?+KUXTYNHw4{zVFa)Nm&NW#rwG7(ZGd$^{a(NO~~
z(n(RbfIDs$Giky1BfljZ!+Q_cJ4wJ4w9$`F!%R76nWf-s7if4<MAVku2uzzZ!2I<`
zdygjkpTN}I416I;Qs5Zey8e^A2;OtTY#&iCNOxPC6v7gXc8x@RMoP*nC8m%0gnqJ;
zsLy13^RJ1(X1}`?iTW<WRE+kU9_H&-IdL+?{~oNg`U+DOW`=GdzMJ93ix&8o#H#NO
z#DDBzB58(YZrHygfyv0f7#6|4WzSzy!$(gz=N7_FS337o!AA4OEP3$D1Qs?%xPN%a
zIR}1kV!lq)gOiV6X(qv6OYsl)uolhH)C9PGe}5ZM5AL02yK)tN*SfQosOM~|Q`<w}
zUT#szeQ@FA&Eo+u>2pf~9$3edD!~u-9lmsj3*NQ1LgE3p>Sy2B4^v6|8oI%mR@Ey+
zeWxL4UvCE=s+jme)OV>&1AA;?kIYRAqQ28}ZHhF7B_}v^iTaM5`e?r~Jo@->HBsM*
zy%*Cw4Uc`)Ehg$a&Ak~Z+A!q>2VSDSo0hvxs{)^jxXgS4_Bgs}brSwTaw~%P{KD$z
z+T>uvO9gJauoQol&k@*8`qiKgZ1VBNm?(Vf!Mir1-n%8jbXWuyk!n9`2=gDO$l-&t
zLOw}Y!kyZVe|X^T-$R+^@Myj1xqWcO=wPHPOe;-Gy$24v^Lg1B7ViFcc_+Lm-S^!a
zej#JjLIc~s?=vU*yNZ&g5-F@^QFA;5K4$vu%a$(2E1}94!SLj@&w9)72<MYW5wM-o
zfvhF?byFtOH8`xDlW7(%+Hrn05e~YWS2hjX{Bm$ffXj3<1V`a<`BRn;U?uC%0bgJ%
z64{n}@O)6uw;tGUYN3c2Ke!e&Zg#;Vvx7Xu_%SW5ywL<-iZ0$=2&X&<(D?wr^+>r^
z01vDBRMo)sKivb$U{R|q`f7Ng=*$#RzfO3hhW-aTa&Qk+!UHl*ou#na$L|&8FnMED
z$s-~j`8>Y{)}r`MmId<%C9qe+Zz3lA?!z^E_30bnB7fS3WSIW%nsqH)#jvsO3S6dE
zpx*?S$?&=b!Dk+sWfJ3Ub00&M9em*4R$?n*X=!>}Shh5zj)?R1>{dAf^Rw>ykBA4%
z$lf_jwCBi~B;x94n3|~I=-+&OM0}A~hK-VlfBvxJJ-n<-t2cZa{b|4S8WCUVJCr#H
zPi%d<^cEJ+{(K-A79Zzv{{Wi{lU=?8|B#I1C;E${Ux)2YZS*Ipzs%?1yVTqzQLvER
zETsedr*7e?BFyS6zvc$tVo~0ZhnbmP)7rvYTI##Dv@qV9%xx0=ZP#Fm{U%Jl)2rGJ
z?ti#r{~+w;6#s&FJh}bm7yIFd8f@o@`;QZ;Q+NsYzZA81hZUagzEuVfw3?NkgH69>
zeo29?X3ypj{q;}EPw@w^lE8uMMEkJz>|If?eS$#11-NASr+p-xaB0TG2X<D>QT2!2
z509!7<NuNV`MVe3Hz$=Vi1FW~_`?o&ICM(#DbfF}Nf^ys;S9Oo(Lt~<Z@s)3EFm%&
zNc8tlU#VhDU<z;fnK1Z@=)}fpI8K{=I2!iI5jd>_%X?nZiGp|P|Ep4gYYrP9jfYi(
zjxs32s)vi7$HBuf`>x8vO%pdVl3_bH!;iACRP8AJUHIq7A!Tv+wPoo)V!o_9e=bQ3
zrrk^9lL~9;D3c4qX{mj-+3@*<0Aqf5NLut`7Ch5=rhyISzW*9ObV0scTI8}9Hori_
zUj&!4#tqQJdQ8+)9dN4>2NxAwwxVUy4i9N>#{JX8`izgv43Yn|%bsoc4QIB~1rh5v
z_rF{+-h^ZP&u^cC-})^K&%<MKSA5jqKLdlOr(hXJ8)a+Qujt%~G1#`<uEY|q`)gR-
z4|@)ZL|lOVQ>(H+!ErMJOXuOq&I0BZSiVrbCya3Gk(Z6IFsY*2Re0v${sT3zRgV7t
zc-Yq`^TTUcT=7_P9K8E?f_y1q`FD}YaPm9No5gTuVd3%}_+-A~#uK<O`OvpC_@ekv
z?Z@!jAA3zxVUghRHyQBQn?&_&n5`^{E*;KTxLlqE4?0DL+=09E7al)_BMhWF65*3o
z-Fu(F>MjRP+=LSy)ToN!63VXlD44f;=X3#F{iwqCB1~H9*Ix!-E4O{;4`<gXR1oW1
zAr9)fj<5h(%9B@c*4*qLd-!Z_(7p=TGH~>q1-$E157k>(t0KJI3_hoqJpBfiJ?{2E
z9qwuQ)?W|DE>izcgB{oNDr#Y~o4;D5;fL=Ro)GyoTWK7}Vc0M4c~k>jYZ<V`3*UY_
zcc~rzv&N{$1HUwUX4V3Gmaa-Lz_oA2G(N#Bjqzc0uqJ8x!A|&W!X<}I4dmOEE&KZ6
za5nm~by%z9`f4|v^ykmr@38x;{OMu%$WqkQH@MHi@xuVTW7OwEFU(mPRxt*P8IiE|
zz;l}{RR6CR>WAH5!-psju1+Fu?d|^N70lF1<}v}7s@sSa!~Jg=%x2)}ydPIyz?<Rq
zveWR_`YxLcn6t6*z)!gFfn`w|>`<S1Zyq)n(c`@X@BN)|V;SD#(sMo$zTDxzvIG}1
zHIGNb@29=KZNeAybPh+sr*c$GH(&~zlR2R<t3ze40_vd|m&OCW@R7F{PRYZg2kY*;
z!q-jAWKO~rUcBF(;opf2dB@?WNgNh7@aXP^yXtUC?4@VcaISa`#VI&yuOGWHER`Da
z=QN!5zSZ3jez}pVstM}`*Hp{HE9`F425_Gp3xgcou^N3%2ex9Tvgd+l+q5qj!M1YN
zB^>baw)9=vaE6zn*>`o!=MR4Is=yVEW0W)SZ*6~)6YxFuuI~e|->3FnM7{WL!uP=t
zyc&`mCIhS0y3%}tsSYeA9D*|{DJr|+v~SfUVsO&s4dGV!L=gv*AUv9#IM@b%xjrAp
z4@aur(0&i|e<^sh8-6_Z_}K?I(cuOY6YN!(!u}Rk`u&ZM238gmXsLyt#5N{U!Hpez
zlwQHBM}@Pu@p(K5O_`~L&FAQM|APm~VysGF!|DtCD{$c?&CW77C)_&e4_u_R9-I&B
z_|<0<^=h1zzvy%L`svc$L_KSi<B*;MkJxYs5dBZ)+kj3Uym6ZG&Ny7h*jSYg(}o4*
z48p|`a-I)ivIswBqJLAx3w%k2+xo@?KEjko5@PSe=?f!wI$$Bb;H}%Rprc+cQUA)V
zPCQS5-^ZWXLtLL?jcr`fFvI?O!D?8yU84OaJj&Ng@fw!?L{fAaetF?EODR0BX=4)v
z535*3664Ew=&4R$IOxBgWMce!ec)lJA3XbU&$k?y%Ur+90`7ire}xzy1ztP~vx2|<
zlR9`8ra!~{QWEwsY><nE&wo1WbQpe-d(ZVcto!KQ11dN*LNV|PEUC9clLi)P%CrcC
zm&NOa*G{1xa?o=3g-dlv2G`-eec?ks@Ux#^v=(9I#6z<#aQ?Bq>%U=HHV-RjIHCTx
z+YBtX%<5?a533wtn}Z`0tv(a;O=&)9%p~k^d*{3{tYamqFa?vJFgj}l@5!Uh{|why
z@9@@v|J^uZF#;Fx8IEYdRi*STy|A_&<xgdJt>JKBKOCxHZhI0g?WUdSfX71X!zAHo
zeGSb|@C+sQqBuMi!d2M}d%ZX=un+zeZ`Me(AGw-$hXs!15|wL&ZGCpV+yVb)IGRkf
zPyKmyKQZ6BSJPA0!S`EbW&dJ6?zLll`40YTTkv=Twpbk9{~C@S<7k?J3*vess^Mn>
zDe}a6!}{^uKmWnzOSG1QaF9T>;VbyiR6<KX{BYU0z6f@b(i!fAvv!}nPy*}8_304#
zz*ytX$)|9_16?m7KMpYMIr$vs*B$>-1>X~WSds(FIy_wX4;FhEY?lXjipbd#`M9r%
zT30&EY`@}D0Eez~hCPG}kKG-62G1vb{gn)#^kX3-@|hgTXuTA;H;mqx$cHwx2C}Zg
zmM{C9h<r)2?vZ{t(LV3Z|MRgD+hwOyutI8j43V#eg}-FhfO~SeBz$4!BI#Gmu+`h$
zCyD&E;pnV03;f*A@ADb>uk8eBvKq!GJ<V34eqZF5HM#@;A{*s0fpr+{@&e(Q<R^4z
zVJE86l}oU9to;Jfet=Y9z!^^V<@-Xc2auh=AbbvXW*w@rfwu!EX^mkCgTz82KR$6*
z(%KN-dBT&M$Zw5Uf3#`A*^b=wUT|{JVQx*>@N(Az@qB+I=5EWvIX{EG5U)q~;jDoS
z9Li#(N95~K4Y_q<aDL$G(aZ2!<oDg8aAatE;YB!|DLaB6PU`eb4~4mJO!V-=eq|@=
ziF{Z1V)`jo*lBTS^EzDfaPZz<*yz9Ko<zMTyL5+&0Tvxqwz>t6ceb0;!D8V|Z8wSb
z(b3K1@b3qYUMIqlY;W1gU^;dmQKJ59l?}SJu8RNf;oe{)>c6t!!q2PlW@tkUQUBR)
zx$6Fe^Umu8K7^fD9z2|fcNFiLNr$g|HfEfHQ^%5C68%f4x`S*CHfuFJK=iN4o3VcV
z@HT}iIZ-bS?`&o1fmvm?{D}1}o_{xQw89qGd>oqL!MU9NX829w!ET}+x}oZ*SqHPl
zkrWfx!?i21Gu80QcqwlmT)lSM>LpCq5V|!5JBPV!mB5#5MZLemGW^2c&tU)XTh_#W
z=P<L>+b6Kvrc66=J?>#&lE{P)WX(Jyu2*J@wXQTc+cutk9Ui~_M&%BCd`@<i8rS>#
z-KAgS;meD?E>y6v(?ydgxaHh=HDdgrP_|i(fcuJRUJ~O6#VY~VVE7B&{lxw7%;aC1
z%W!*!2$>*!E37`q2M%rj-lhZ(@AvX@hu_os9aDr&p2>{Z!+nzlqAD<bG?RoK{DI_1
zIx)We_8H1FgD*|DIGe*%<mO3+@b6-+ep9%oi=SK@W~t09BgW$ce3iNCaAOmz;5j&x
zC6eVh9P`SaBmnmOkFG)yj$r6L?+4%O7(93wo}SvJ8v)N%88(Z<N3Vrehr=y@c@+=9
z`R?zcQsAfRieh~5X4!$Y`|u4f+6-3s;Vr{=Meyfn(s*W=?pontV!ycVUiUUF>^}c~
zhR9!iE03yBz*Vcet=ix>K1^ksD%hXey+uOI_chn6Pc6Zo_Z5AA!+p8Q<uh<?@BChN
z<P&LXW1182S}%JPE1ci)rg9LjKW0w-|NQFo>A7~8B+Bcu9^$R_VrLuRomV;~ykVIE
z-G?=>`cQwSC%m>Q$yg4Lb~2mA!unc!42s~>s*E3q{o_rhjoQcXru_a;V*j8xE0Z(}
z?x|y5cnTZtj=pdo=BXghYl6o|ewHS{=_XTqKESuvhXkVGeDdutBe2U|l06adUxR*K
zV!z_az4_}w@S>E2@I0(Fza)4G7W+V&G7G1(OeA~5lW%_7lVg9RJG3*>4VEOS>>`C*
zZ@*o!gU929qWR#TT)wiF@b&LsS9xHOe#a+gV0M4;7sUP#^W*+++OYQ27p~**6Y6#|
z6<E`ZK8D!eWVT=HJpy|?4`ROxUs?R?bPN_cvr+vRo_}GmM8w%SgY}60zG=2I*NC|I
z%F^CinEEuAuRQFxBm7An+`ET^M45=&tojVX{YkY8N^nC-0?9D!T=^zM4bIsWGdu&Y
zt<-Q5?ME2JJm=u0qpu3IV3CRg8h_ze4bQaIVFrh;{w<hI^wFRm{Fg~9i$xv#Z+$Z#
zi1x~)BvSj}kd#qVLwIF0gqsJR$X0u70H2&tDB^_|)a7L?U@`~!7)e;P<WIK=Otou^
z{V*Kr|INV$F6jTetPJ-FCz4vheo`$rRAFbj@B~M=`(&%V5!_41E<t=APU??-8^aG6
zsB2td+l-ucCz!=D-ufK;R_~gPGfWj6JnIF^4O5)<hW$>zQuHL^ncqMAz;=2$&Hk{9
zwpYs~IOEJPs~^n8Z)z0?#~f*R5)3cSeAWzy@4Bt61j3(tTL!PeA&15zufYRVMjv9}
zGj|z#!{C3f)y-pJ8HH8Hn=n^x*QvX3XBTf-6dZoG-sL`Q7B>I!0qoCaY?4XDqnUV#
z{?6@UOq~ns-G19v3};_hST2C`)xK~L*N@N;<+EZ~uqLvp3D%U!zxN70!=JJ51I%18
zq*V>SWIXwP4E|ytCD#Dw@||HGh4nZdHZ{W1nUdMlu=v;0<sESA#L>kmSg^!Z<0E`b
znImigW_iFSGXMvc^LNg{_b)3p4#I8A+h>>Idm-~><M6X|vO;2fdFIP}Y7*|R8d3TS
zFCD$Yy99gN_YJPWo?r4y{=j}&#jd0nuQ-41iKEcK@3G?VQT{`m{OD<JO4wlDJDC#k
zl{*#dEO5gCRcUfqKW;T<A8eh&_HHL^FY4rc5SBgo*_IlX?Rvf{1joE9Uf2bzy=3o}
zhu<gI$I`<Os63q%;b!e49DCs%mV$;V@X0Sb-1opNwLz1rFy-a`HBQ(<Ql?7>raqdh
z!2yfrCphTB(G~uE0<fyQu7L^6TzGUpKRnV<IBp7`rlI>!1b*-9*=YltNp_M6!{W@J
z?Cf9-uZ%<~qW$M2Jy-ZsgVmS>%$>9~>IMf)3i-&x$$_=)zVKDAiE3H6NJY}t5AO1K
zary-OLu2`LFl=_vG3^*UCFnkKg)pVK2r*xM(U5Ap4jU|exvU1)<R17L1qZVD-ZOzu
zg)V)LhiiQ~ri@_q_2um(cp$Za>>PadX48BsZ0l@r#u4^>pno+TUK86l<^jv83wq_k
z)4~<v#QYmabv)q-EX<*DnwY=8d9a2S!Kb4>rv}0`Iwu~L!tPg{Ud6zVoq6J4!<Cln
zls93)b4I1raK1&TU@Dw0tB}<Iv**(LJ%9r^xJ+8$SzZI4QrP1to$4o8o^{Zx7|v9t
zUh9J&QSD`Kf%!^FzKy_D1rJ=C;180`VpH&vUu@0{Ja)5#eIC9>M*aIc?3cT}cMUez
z<rx%2zUN!Qxr0O#<Hgm)g95OUUjNW;IDnIF;3gbH&)v)p?>G>8AR1=*?OUe=$9R1i
zQbIny+)P%i3OigD7gmIae@cHk0~ed~9EyT7OD1bA;J&bP!I3cOC+kCwa6yQAH&M^T
zl<;zTz%sPg`6}SLy;nZ@z=LL9?H^%t4XwIMFl$0CM<;CDb9X8TmhzgGAA?P+Tzam-
z_nFzEi2Bdd6R9-JziOWQ6CT=`G93r!?Tq|A58sq)4U8vlUnCH|0vG?ubG;9n{n76H
z1G_D;#HGT&9!AdXK)t)+vJ#vPA258PNCAt-_+{n6?Bt_nEU;L)MSLM_DY%)(43qwy
zEGvd{h9&9+VUN+y>{sxpyE>BqOqN42R|ALpKGit|yZCMmHNufUDpFM8EZ6PCR=CkP
z_|#cgJDN1S8|J)x{SHyTck)-|^}#mGFN!_kmG%0&BXDeP$v=14kmKONF?dMeR2;D$
zz`aXq?{_$8N_Ci6FW}xJQ<{Z6HC)%O!RMar7FmLaFWRez!z{kxRe#`17QcIl^@t6{
zI|YAX!^&^`#Ck;oJJs=ju;7)8CB%A$8X3nSN-gY1&^d1t>mAPS42CqY?(#LxEZB-h
zNSO&fwdCnete;dRKIz^KpJCfrdkm}U)xTqhpK6S%6YDR7a~dX`@RY7cZy`M2cuq|a
zzV}>5fLOoz_B_b#Agst~f3h0(IR4OF0#5v{bo&iF5Gg(@3I9IRz)7q>O&u{Fl83YO
z(%j#{HJ)MHN^tn~f~am-uDf7C6>eAv#vkus{HfOnKLxA4A#)<u!=7pcoY#fBOgc)4
z^|HFISIGwO;F-aWAMio?x$EZeqD3YrvEH^_bu`}!9<q9(unu<>1*AB_7rI=cR^hnF
z?iy!UX3#U28tZlK61!h`!>6ha{-%UaeLdpr2hXVGXYj&HqgPCV;q*^7v)r&RbzoLF
z%)QHUzcQTnvpxPMoEk~xcLJVsh#|QH+kX4id;wl|Tl$#_4^=1cBi1h)NH^_r;Y0pj
z-nsCa&}D<?aBv|_RW?l9&rVYUCzyJ>RKZLJkJetn2Nfw^66>`OB&<uSVO?WKJ7PWe
z>c(tV1I#}0yYLgNakH(l38qLNY?*|Ib~==QgeUJgvQEI2LgreZVEMe>$1`ww(@*&!
znDV3LA7VZEdf~Lq7ua3@DANWkydzR?3O+jh#%2u`XumQ34L)TqI!}W2YEhK~T?_CQ
z&tt`H#LtGvtS-WDovxYfLYzK-=-WE%m9m;ktalr7eGlA(dA*#Z_rYgf;@!x#vA^2Y
z6UG9MEI#^60joxyWaNfVTIkHt!3Av3tvO+eO^2%tut4G7SwZ;CRR*8E@HyWQc>%cB
zTPv9jp4`wkIRXn8Y+UDqNySRCiS_wgYh0`X@D6@9DJA%jVHcGsymT!fQ~~}`zMd)u
ze>DG0rvi5!DvCJ*-})hKc@pN%*;yh7*RTG&cm~eyYRozTt1TP6*N2ZyY)C7^X@_1K
zn!}{xuLQK<aZ9o+Q~2nnsP<`i`%qJr3w;0If`T!;^?{Mr8CH2C-fjZdIru*ChWmz>
zs?Ne8V*gEf!j#4G2DUKGlRf?c@W=V>6D~wN%dpN5jv3VIc7<CvO7yS5*N-sQpNH24
zX48X+_HquU7hq}|Ezt;gwdjy~5Ij>Jayc9xY6%|<hF^UgqKtv3KVFQ^fxT8Uqlvg|
z>8|BR@cu&ejmz*c^}9VKuu@sjUE=vjo)=OshPM;>DZSuD$FGvFU}rTsBM<oN`HLCl
zFvrc&_YN?<?xDCE_~PO(CSrev@>unH70jBR5<$FwX{0_s-oqZRpL`_VzdwSp@9JRF
z(DkxYaJ8IFX*1l)vV)Y^pV{y6j=KqFmUwZ2_<UWQof$sDQCG^}5})szU7^!$a2Xd(
zju5P4$=2TkpZUu0>i`_uAW_@}kKVKICi<h#*>{<P@bf+=-aYVbE2k-<effF20OI=S
ze=^ha86KRoe@9#&dY;@-eXwsK#mzpLy8G_M5tvDMM;~#${-8dWOvHWUPBY}g7Qa4R
zC*m&xPFp>NMS6`S+TpgB?#Hy@knA|_Uig%jPmCr^bB4aF1HMQ5&)@(|swh`W++TPG
z=|e#{ql<&`6Ko_n`<oV)I<K%yJpV^ab0=tE!I~=_M0+(-X@ND2ha%4ttBJ=S);fHC
z1?FFt68Qr6MD>o(!{%+uY*X;F8(rdaaKqYY<Rt7N5|A|si&xJ0&%)uOUi0HHuc@Hk
zcUUL+<;RbNoev!Q1y|M=aCO4Z`|6%8!0&qX;~U}m&YA}+@a5MkpNaW`OwfGCGOT@g
zTDJ<0rZo8T7e3wIm--qOJ3ei<2~Xz-)0M)1X@>O4buga)b+IUhkL>rUB84BEpl^Kw
z8xC0)(7;L>EBlD~ZvWuVeblh?ue6&PaPp-A%3ZM4i}1cQn8wo0j{!bYeNgib{BiuW
z!(KQ`iZ(eBo_#Xhu?Mz%Tue#K&vb0Bt2trnu6Uy;xc8m92nQTfAlncM8*}lp3BY$_
zckd2?Kjr5~^1)+ml@b1M*+QtlFs$#C^zi~bYfCkL5VoOJR3Y*S-D9~ma<ECt*swD^
zvUWgJ7S?mUscQqjd{IuV4wq~5O<Tex|49d^!6_=O=7#WwO1YsieB-k5Z$0?pokMR8
zVT+V)M|F7V`v=z`SR(1p<T04#zQf;O`1+%-zC`@^%=M-_u!BjznKFFz{OFM+I6FSN
zSsuPkc5HVx{6_DcgA8oeofw)0Z<YA>h{4Jq6uq9poyv54qA>rJxWUKpB<<TIe)x)o
zRMQLC;Ed5IFC6?k{74}z6-If671pfe6?h5Dh1}2B3wz4?#FxSIOgfAVa4Op)&wBWY
zr^8cPxMuvvKplKeWFI>jES$km-UX`;@|68UerZ>HhW{f>Q`;*@<ey*VM|KUsBOi=?
ziTu-Ak|(4OzO-lO<Sa~aU(E6wynOv%@OK#h)7JPEPTzPrKMMC&eE)9_)^`+9B=X<x
z5k9_IxZ(Ij0kQuP@i>EV36``mTI+^~N_v79;Y*o2-CJQ+M;-Td_)$P$IkA7yX&BbG
z3cuz&EJW;IknMCRqdJY>BZ!dK5&IK7>WMs*@X?K`!!O}|x_{{zU@s}&t7Y(GPvIas
z*v)0=S3WF%Hr{m)>}sNT>=}IA{&ml8SZ49hi!9hviKCt!Cck%Plh|MQC7>q324~!-
z^STFfi*M`{hCNi??6?CTbKtss5a#o`bSVZtk#xaX0v7aZu8)T2^Y45*1m~0AkO_ky
zyq~O<fn#fX!b9QDb!3N*z~kkKO93#G&V3p+cq36T_5#dtw>Urr_9~g!a)Y0dFFR_(
z`JD%}U13Wpx{sRhjPcYPTR1&Nr^W!@EpmX`2Hs4!!`JvQKe0>&n!vt!-ITWQJg@a`
zL%4=~5<g?d{+tZwbuIYmS518{nDO3qPIY+ow&5EO*tPrA?PIWsX2Jbn_|DDD14MoG
z>Ua@(5WM@B{R1hO)AM9i3S7}U-6R5E9ndyNgPZL6&7@(DqC~L*cp^gQrv&WmSZVwM
z?hdHhsSKZZOf6Ld(_4JXAs$b5VSmG0_<IfYVdDAp&+3(ZfK!I(Le=1d+P)gia43%o
zoi5zskS@~&`+F#x>%c+%_06AP^Z0;oMli?D#fl;L*3R>XiPtZ6kL&bj_!2`-ttH&{
z^|azwc<l89Itw^Huf$;*7UcUY<PP^f`DXAFHd37PC*J?KFWghV;Aa_}<i2pjhDkS;
z`fI7Csq}r|4fQ)N8?d>s+?Pu*-_<q~GF^OMAe&40B0N0KFhdTDz1OKA`oruI?SY-}
zxYr@_5Log>q9;Af<!zZr)T;+MJ1tq@Z4J3E5%Avvj-Pws{RbUAV&R@6R$sVb5h<k#
zqCcJ-e(uW)tNuK9is-K^p$oP`u!pchVj{e)bn1^V;YJ6ZR5*SkdO`{=m6Y;$03Yr6
zdQloqdv38#Tpw9aM9wL}+v)<RGU1iPTkA*RmPgv%PvAp0x~J7(4Npd%$ME4Og)8dt
zN}f#N3s~k}gu5ObowdA1?EftmF8tGncUQ7U5!Y``zv8?Z{CcwYQyDBvSrBdk^A4}u
zRl$wg>pu2yuT1gt*Dz^<H-#h2M%S%a4;%ih`Rxu5-MfB+7%xn96rw!gpE{5Cw7`xH
zw*vg(H<U(pO|Y!|PTGrbUaH>$QQ!Y<vt0{;FGg}G67_wK>DSn+u*8~T6R}^*MX3}V
z1yeDPF!#Yq4f?q;@MUv$$!S<z=y_5STsm42JO!7WJ$mpi>`~f7vj7_mr?RBO58b>>
z=HRynCG#_2R*svK#CS_poA4kH)*$1OSc2UJL=QcIqm$&SH(|5BIF2H?;8`Q}23%%v
zsJNIg>)1VFd_TdR^zap2W9vRa0;d(pO23AK3$L9g_RHVj&)|CphYM0y5&P-;PimCc
z!)pdS+PmOyD#f|2@XTsvGBKYRli4b?!>r`x0{h^nJS_)%;Xi{?KE!&1@JdKkA3RX6
zzQqO8iO=Sbz;|1!H96rtj@%Ptu*jXRK4SerRwbPC7fkb~#ETDpH>y&y2q*W~ZwkZZ
z$N6rP>S2Dpnv`?^R*aqHCx<_WWb;bEUIMM#yWs>++X`a-T;zRtcMrT6>2>M|{P~f%
zs2cn$@i>hLoW`hrPX!idlnEvtPo|dM&k)X+D`Db>XM%V}4B*crPa}xe({v@I%^bGK
z9q%C4Pn5Xg<jmmWlEITZVRrvxdt6|J%#;1Z`<HF6arGP=(Wjubjn6|gZpJDAHe^p4
zB|fi#4-1Wca8hvW8RGMlj#7LX47cl*r7yzOPmb~i!P0wQF#Ldj>qjtLgO{?pEQtPO
zV;T_{28VUDwT{65)+tOA;97MWhhex<cf0mBtod+9&nH+&OR?x4+<A+erwbmqc9=bx
zxV;ufBGKOuxwuki!1op;KNH^<=(}O#mj=7-7T2qR_ZY|9=fEsJCsT;)?bnyfa#^tH
zex;BCIAt?y|5Nz<mUa^{e|Dd{oA4O^60fQF2=?==2z>$H=P`*S#)mgmPk%gz_p=(U
z67#3&^Tz)F;9y&8m1MYd;-yL%ELvmvA2ELEzUh#B0}EB#Z4={HegB)ZN_aEe*7q9h
zkkWax4o;VMs3PXmwY1lN-op1B?Zq#{<rn%scEVfI*6;mchWa;39q@9rwX7#x<K41v
z1hy^KY$L|+Il6p&Ga31=g!XYeI5w`pW)2=JJlJCmX9q?$&%hI=BI?GlRA*q`27E_s
zeb@k2rqSEA4ySMb)zyTnrDf)*_3`~4vFb@;ej0v5Zbk*?3%@ft3ah;Na(ExSQ0O-+
z4~Hf`&R~IAdjro(!X4-Q0{6ooiaD3W;Nvl}Uj<+?GQo3#@a%X|nkq~we>8y$J|*Z(
zsRAEUQYT}9e@j$W+rxj}@*ZM<y%QXS>|ptTLzz2Z9lEc!6)@|3ZTD}ipT2W&X?Y1}
z75AQ+fp1cj@85zizwMeFf>(AJz4-?l?<@D6ggZTNEt(kM`cUi4{s?<~ZL~6m*DRLy
zG{ILYriX69oYB8Is^E)JJ5R;Hf*BmQ%izA~x8F<PKqG6C0$67JlVLGjG8%m$8x}G%
z;b?+sE`%Foz>i#PBO76c`J#7s;a*!qyFU1-`UBHMShm)*r3Y4;`_M$J2miQrH18|S
zlljOx5>`8^#5f77`+VxS0`Hm&>ED1ie_nY`eE(wD*iU&KCMhc7_JKW5{99o?gYlP>
zTHO^^Z2o4q501Qj?3FEi%T{Nv9K3B{K57mxNc%pQhrQZ)yzJroQf>C;aQ(ZLJC<<7
zB<Y$3+}Qb=&k=4vL|W?$N1rJAcNVVNuWITCJ3TrdOML%hweNvyFdUT3(B}j%OpOj+
zfxq{3IC{agYjOX@!n{mdD{inx`4{cmaEaTS>lfgr_1OInVabL5eZ=dTIydzu6CSg@
zn@7Cf#lhrzMet*>OnHB};LnO!3G7y3(MY^MyeUtq>R`_{Lkr^jD!~rBAHIVX&+nWL
zhh^m&E`NeAwEqqag%ykB7<*uqm}gW`@ZSGse@w#9C9bAMz#oR3!=_;09Y=&>;ao;e
zt7VvCY4tVndC^Q|F0R0@$MZFb&r_>^bL1a<fs8UK9$u`!9zbG<e7U27=K)M=e!^fE
z-0f&rO7sW!rH|j3;C9VjCyD+dnJm%62Afo$y_p98&}ek$fL~sv+m{O)kRCJ_fY${~
z?1=tm)B0{f5U!{vTgZnU)AxTCgUj!$%RPhJLmDrL!(Drp-j~20&Z2g*a185VhGJOO
zwrfQW{&(R^+AG-2R{rY=*zNJYsdBhxJDy1u{#M~ZLR=rDMSuTk!{<%2v>M@irZ19D
z!~XPI{T;9?7gvNa{A~C#Z#x{u5nF5qAAkHoX#}=SBzb5HhmI~@{|wJhS0Ay5>6Y&A
zo`Q`6j_|v|3s%)u#P#~>MA$bkSaeST#TH>^lAZwARiH(86E@DgM;ZuA{9tsW!}#FL
z&-pV9ws90LrG<qz@03NtE`RB)i1BCYJ^!OPxQ~-Jmmlsg>gz~=nFMU#O2ejn|DI*R
z<A*MuA;z<lH^xt9!@;S{qr`ZpcYv0&6mFPf^_79elXxPF;dq*mNn*U)5!9&L1b^Ic
ztvLwWWPU1dgdbCNO7g(FM!zKX!2+u<-f_UOCSNytU_*($GR*L?a}&K^2?tI$GQw?K
zlb+w;XBDBwtngH&t;|38JPE4=(O$LEvuzu8NP1pH+@FY``x8bZ)E~x%dPMu7PgjpK
z!TSHc4)emU9-(Y}a3ocr7cu^xZ%!}fhZ$OEHuu9}@#(h?!ynjVV~O|YTY5eJ5jb|4
zom~_*NqE1d3fIQnDj;4TkM5tlr{Gs%tO~^YRm64inl9|Q(i|=hyZ+8+(}x`!O&H~f
z_R1xHY~V$Tf-K_w)^1q1Wd}3N9}y?!7dKVEKv($N%YloEaKh-zUGDH!kUfPeeEeqJ
zY#`ido0fb6p6sEE2!@xA@(U32mwf@7%`JGJoA!Ui{1yAyYdID+u<2AL>MLh=lA2t2
zW!;^FXrKJt&g3zyt}_3Wm=A+Yz3Qf5(u&YI6?nL3)_fX{4BQAL>M_-L2fl5>%R7yT
zdM@2~{uPNa@-N!RF+JE&&pw<LZtC!<B<j&z%QaSZctrM_I#I73CjGS}4DVg`>?hiD
zSI6HHg}?fbJDI^u@zKsouuYKZvJw1nL-OBIc!;U_8Zn<UzszeihCP<dtcdn`E|xZ?
zaNw5@-)&)z+lC6xFry_?Akp697h{(TTyAxh@*Es#5m(~_d#YyWIl}vT^i6%?*L<{}
zJzyn6U8!(*T~*$b$S-bOVQsz!cPQknpN9hyAC$+yCjMp0M19ED<Ej@6e^BS@yac;!
z&nVr6uNMpLBkIEp+4~;%;d907Qc>`IMjneySmOG2U?eO?vH2?tzE|Q*bsN68bbaJ0
z9RHt-ek@#YTa)2AtmQ84o&i4<9oQ^`Rr<wC(_p5YJN2*Nb0$`nMExZmDOOSo3%M9%
zm%%=zJ?GouB1<d!H6q>_ZPN?$$f=vGz*&!_nkh}No}j?)w~c)GdzMiJ1FU%P$LlSa
z)AQ9d6Z}p0b}s|gTMPG$^|HYaa?QBt;Y-G>-W>3$si*lYup6_AwE$e??)94)e(ZVm
zk09I_RehBcUQ#ZY5QD!dg?wO#3;vrA5{Ery+KdHYgDeg=S@;-hR5~AgQ_PW69u`^X
z5f*_{3m01T;ii8xB>Q3U2o<L@u;l^S+lOF@2fl_DaGKs|uPAI3)iPrV-!v3<JObY-
z-5hX$FFb3{KMW`SGC$`Jm(vedCBV_gNG^F2@xvzqlHjz){wF^0ZOWGT9QcL(#Yz`g
zFke(N4}Mm6dd3}APAGRMha2-JHi`Q$EM?&!et)1FdHSvsJbc#bX)PRO{3XvC&Qqwc
zdk2@Wo;q#=)1Ka%Z-L1=KI)so(&HwN+u){P+3#lXC(Cqc;`a})n;JMz!fgBr)<baq
zW2MV_aP)Hq<AYew|KmE~Ox)fe@^#vNm?9nj9u50=-%vdPd*!uqJHo{?qPLF0hT*UD
zo#B+g;ygY0mV(o9Z}_c^!Tf1BL)XT~7yk33i^>Lm@*ks3AiN>xsc#L_lkSVZ0$+YR
z<3{X{eBav<avj#cc(sJsA8AaRco79NZfvv?`#1h}nHlkL5nBv%Ff1D?A)5%li*C#!
z_HPU<76en^{62&4#Qw~GQKbtRu=GRHgfy5sKj=#ytQ#NMp8`t{mNPtqA5pC>=EK(c
z*SCscH~WhU&)|EzJH-EkCwr%ih~ER<OM1jr1)DsuNqYtNelZSv2freb{Wt{Y9Fy^B
zfitt7>>GruL{gf^U@IrPj|TWXRO^KsLj&+q(t5NZtZ`4AVh+As$bGO9-gn7!X$fXi
zy5d~{=chi2-h#`uE>_RL;<wi??J&jqhfpiU54cIYT!j{1o<8}U48NzleS_)nZaCa6
zeu)I0_FQsgfvax}(eH*C&5ez?VEgj|CcEIhL8_6w@XebZK74T2o_v2H_}K7^avu1~
zg~yLYVZ&cbA0=V8s@?abVcL8tRtb1l(_RS~ICb1GPY!k$isU{9GdJIwlYy1j9~hj3
zrIK1HHQ>M0^d~jpobi9Ur(lH+&Ot5skRR8uE^PTHsp$-C`b&rZG<>l4iM<iLeAcbV
z7|v(nJ!1uTQr}rIgy|U+XRP7NhD8xp@FA%~&7LsL>K`U^SZG4u!5f}6Wz4jL17`-R
zs$u`B^XK&8)O~!WZ{cdOh~H)~MU}f?KfEQX|ADywC$ev=2Vlo~8)M@BoeB=&=rqiK
zx7E@t;CkgK^$GYmnURnKe7kK`W(M}%l=dMW??tF-=PZ0*Tludm9Kq9EvjjW&a;dt&
z9`j=6%dl&@@JAn5J@=8u7TocRWS=+uH;#7vAN+iEXYNI~-!l9or5UdOz>yh$c=)>w
zIW0Uewn%XU&T<<5%>?_j)aYD?*QpI+nc=r09|mIKSE(Jr9Pp%aJkKpy@?rf8Zg}1*
zLm?gR8_{@p0Dd@R8<q-_9B+~nf=%w8qtAgK+|@fM3Ew&?VEhQ4qPMb?hIQ%1yh~vR
z=4mY@n4ItHf5mW13rWavc=G#?jym|z)g(`KnAs_vr55h@uguhf$qr^pbiup>2JvU$
zY?{*-J7Foh$altY`UjnaG1!5dztkGeV_NDPfvMvuuiC@SDf1y~u;`EH-fl2=<n8w>
zuwUIXC2x4AM})^N9po#H7NQs7+*Php2Kal9_gWBqMv2}+2;Ou1;P-3rKDS4i2jCG|
zlb2C&Anh&nlQ6&AzPxzYevmcpINTm|_QGA*W#F&0IecVU$RQm*t9d=h6dtU9lbi{^
zQ1HI%0xQqQMm~X?cl{bV2S3~ttIUTN{`UR32vhfvKP!cKl#G-DU{(H-&oAL!{BkBY
z;G$=7ZPl>phr+b$Fq?$C^IKTg<)Kg<Y}BS{`T?#}*yVEzw(%DE)kL&^xxIM@w&mM7
z_7UFr&r>A{-aWP$_z6BhXVsYs4?OL08-my6>seA@`RldhpW&At#o3SG8i%~4Nw~Cu
z`9~)F$?{&@6im{y9q<%p)(;7phxc3AR6T|#9R2qFgh@|nX%)ePUe;8ru=;v-d?D<X
zY4&IhE~$y-EGKUNRwa?d9P1NV;|~A9?)0jnWH6O-%g-wKy^16UEgY-QF8c<aE|ht>
z6Q*b*t*?h?*97yJ;cO~hns@L-n8XPdINetIUJIOBvx{dx>?Byl{{epbSD^9$oSc|d
z)Cn8^WO*hIzhWO*ZiiL0#Z@I?7stA5eeexKerb6)jcuc;2exWC(XIg39s6wZ1wQg!
zrdk=M;M<ix46j}>H&cbvc^8Gg!nVZ*8anWdB(Ki|%;Io){4~6@ljQFVOjB^7%NW+w
z5>fd9zYfgwFoo;3sXG^8nSnGb8<^c)oaGn%wZ47X7XG`rGkXo5lxv%EfvxU{eP4l7
zPLhYY!Pz7<0o(At7V`7HMEm!GZ?@pUpC@Sj-~xIQO-lTp`_pZejUbqOd+%)u_(@m9
z-7D}Ofkk$Dc;Aia>(^mtWpewSFvYhH?i+C5$<Oo5@VBB~hTAZE><{VP@NY4`XYuei
z=ek;USd~sB<vz?e+Dyp?-+15Fo(l8MU*r{mZy63(XTwvifzCp3d)#63T$p29Z%GnX
zkW$rr4!6+iDoDU(H!~*+VSP5fMmacKrS#KFc=`-Goh&?Ba*?VMR{!u8=^nmc!xq0<
z3!6HZAzep3D!H2Y4wh`czNQNc6*66Gfq7H>j-Q5I#zQ&V;G@H;t;X;@zcjiYn6~E-
zlM!5>8m`<A#}&7VIKdBxbEHP$w~WQ-9f<ZFoNZ$;PkzXjJN#Bqx#~MCD0^1b4UTU<
zzBmiB)h}BI!L}W)<4dsL%g*e}uyWXZ@G?yCG*u!Twn%03+=7KZ_yk;qMXSXhkyxOf
zr67+_fWJrDB~rs<H$U~<hRNryHSUD})jBL>!p@Gb%bDTl&&7^Bgn!b_%<hHnf2q_h
zg4Yip{LBppON8Djgjso=nD}9FOX|WJxcSdxQW5y%?hn7K;H>?NvWMVeSv|TAc=M^k
zK^gdmF_mE(T*{SbEe|vL-SYSXm+Oz>MPNQ%JzhebH{eUHc1;ylV61JKgL!}4zn}x>
zu6ym8g_lJdR19E`8~NoFIIp17h+o<q*4btFmkh4V$aS@XKiRag?15DSs4N`e0zGf5
z-S8DAdtq1Dr7(+B3_c~*&UPM7KYCO{1m1Br{Xbt=SA3<LI4|LMB5htE%s3OvCIt^a
z`)}w9thxW+VHG$iPN?-dJgXjm`6T=zklgtOd_F;ahZf;)^Xm7AIFD7rDfn7U*Z6(7
zJ7gD^9z4jb`6(05oyEU7!S8w{y&l1Ff|@^#VM~E~$1CBDwu-m<aD?ow!PoFj{8_y@
z{D3m>bqhR~rP)uk59qpR(gxQltvQ~B`<rU1{=m|2hHHp81M8>kWte(zlnxO;p)BH0
zZ;5(K`635#e-+~zjEr!|5ALVL`4Th>V!yayhTBgM6YW*ijc)P6j@tTf&%u4%AA*J8
z=PGd&POx$E@4X^$-{9dyPx$FISE|GCjej0}?(q42DcRC+?D<`ee(*ImraMY-TAkWc
zUpSm1wD~x^^f#vN8r=KeW~DluSXN0H4vT*a_@xDRPygjff*aM=$IigZ<Oj|rz=Lla
zOHJW}uXpUshc%pya%|uke<6dXaE7`#n-?5Y`dpbff5cZIT<9E}yqxfN1@86gt9ORk
zI>l~o!z3z#-NfxV+UV7Y^GqJuU-GttMHuow66c+8@2d?lhXos=ZV~69G?qC2X9aJ)
zsm<ktJ746~8^O&>X|~*ih5y)?z;~a@&mDj{sU^I1VV%@nPlRAci}qXtIRBz{tpdz<
zb-PRx7XHB#tOP$OPM^_%*9R@`66eRf<Z4`3g^#z3>FdD;5)P6Y@QqK-uEcpXuP3ja
zI04^MmlLpuy?VJWs=$VJzDF;>OkFaOiZHXuiB;nKo38B6H^*R`h`?Qu@WZK*78$sI
zO|A6?OnODcSq^s5nlOupM>CHENWlMH&flE~tMG;Hl7joBG&56R{>L}O`C#(Z_B|PJ
z$mN!1emHs5^AT~rPw-&V06Xj*AY%OlZoEh9&k5gYZ2n#ZHxH0U?182CUe76kH^Wr9
z_rgCq1ted?B)M{j7+{^jp_w;u*Vx;S``{Jcd$K=awTbjmqCeX=>Ms6*U)~km%M2gt
zjG-mNc}ByZ*93RM!pkQb$YDE2rCK_ex@_bO9c&d#+erbxN=l$(fb+Ms-6`S2l@cj?
z;fqu(f&XwlB^!<yvBJ@gMtevQe>NU6#tZZ6u?nmqUUoz{jUQgPYh1GqJBc+P6ovKe
z_Ovg;><YdU#Cc0SiF&R}@VOKw9~pS<7|o?wxYo8@SPmAqRNg%gKM^u3KLPKaUg4dB
zA3t3?uM9T@I+=ZkeF_z04B<VxOwMEQRN<hSF--C{Bz+S0|G;5$4$c|iD;S0?HD9s1
zz?EzbSBUmWBxyBau)?VItpWH=lT6?>_}3QM*)MQ><UXEsSlH*bM=!j7w|FoE4)KsX
zHUtNnCSI+8HKWUQKEVQoLW-5JjDrJLKWy(uJ@yIq6zLW1gjJXxruM*<Jem$f``|}k
z%BJA9L#5}5@$J>y^WM|2o5{>hVtjL}+qL-<9#hq4e-8_!WW8L3H|MGhKETfy$2-Vy
zo|QBoo9$b;!o~Y01uXO|GWi`WxAY>L1!fQ!%pu0pq*jHq``|X3#R4LJKh>O51-48s
z${-$peze*CBrNs%r#$iaadj>Wny`~qu}BY`c(_Me1AZ0Tai4ho!#~xW-QXKx+j+$6
zu}>Z5^?)lp0$vdDYW}aI$*@UJQWX(b$qq`r4{LpI5gvqR&A+x)!YAwo<htP4Z-G&7
zV7VvWCyDsJCxPnUVEsF;dPKaEhLQ9;Oy1zg+XqLa4L&Btd0?}aXT&>Tqf=h?<Zzt3
zK1nxR{8^TY3+B$3WN3w-wl~#r!};nl!NmR5P6+)u3FqFmy4egjk5|4>fgKkWorwD%
z%kXB7f@`kaFdc!_UHZ)<;R2x=A)<frHYNRg2%jZk<{<j-FY)F7pAVOqvUp|zwzOkA
z`vP%i{?lqJaG>bL?B}qPO7Y%J_>;{+%|<w9-yRxrTu(|LLgI+?@pNA&3{%0Wroz%A
zFxls=cH;UzY8`m_GyIP9P8Km<Bx&$)ufXd*G<S&c#CFEj@ei!PR&kCPkFum_Xc%yw
z;&!*JxiB2*ds>eUK18}DA`a*8nO@ot-=@C7B?~`T6i^U^*K_KP6<`Ye!-g_&vbCXx
zGE9=-c3&Dkb}A!O4et5oU#tf2DU$L%4fo!9ysQGJYs#w;^VRyr!)eyA;C8R91>E=Q
z?3g7?$GuEL%r_<5lac<gAz%7mVt%q8p>DkZhkP`l@`j)8jlP)yr<u`j1i+o-c^zr+
z7|&t1D{%C)RFWDvAb!Q_IxOm0e5wlWW`3-g2%8T^JR`w*m3M|B52e8OjpG;oAs)7O
zRsIp2kv;ib81WwaY0+o!u;}#SL3rnm%(No-;+59|#QB(x3hB2i;P#<%S54T)IlA#R
z%ut&iZUL*DzE$}S{t<qs(G2cyy1v)|YuH^Jb%izU;=Z=SDUmLMF0coALRcqko7G?J
z17{Sc`t`#ezv`F0;G)`sf+3hA<PpPF*psK~;RJkFGTJBvezrDyVH)1y*|~NPZqD7|
z{1Z-iQ*<mDCK1eKSclhBB%+((2Os@87Gc8`Bh?o8O=tVhW%%T&#P5@^5r5L(c{un-
zS<V!^Z>0SQ(f+AuRMiR`ec`6^5BP$?lS^yxlgE=R3ou91B<F6NN7_G@#QzO`e}rs+
zIG^;cLvao9{6wogoH*f#Aj{TKm~`?64>ue%kVHNStGQarOThGpkL((TA29eW5$B;k
zJ@278Ld5gc=~UphofIa0FiV&92UU1mL@{m<7LSk|Glp}hT2i{;iy~@irtsa59Nt8G
zdF}9%=V5=t%%BeVl){}&U%2nzl3q8QW!IT?3vS!*Vbu!z+#j`ygVXKa`xDP+x5a$_
z1YB$E>q<P|8uMPxaai~EkwN19cu(h|M^2nC>$T8EykF^K8h1$H@5O14R$%!RZ+Q+_
zXw)Y89~^T|D})V}Qygz6wZeLLCG9;Cc#%E7jt1_!H98~&KWS3fpo6IgGnN$K&sNk6
zd*F3?FL`;`!8-2%D=cp;bVdti$_`}bh397%lQrO2>W*?g_>Q6;zX2@ol$$RM`~ThT
zq6fd6-%=NaAMW>FGKDQ|`xK?&d?s;u6L@r|O#czsf+hO>S@_Z&#@3^7jHoJ&HB9U1
zhrbiU`Up*WvJ;#{Vqm2X(`g$H5$EeFF1=dSAmU{C&K_{#<NLGvu(+31fg60jYDe@L
zSdXMs?gAXy)Zk+eb8t}AdBbxVN9i14i8?FYOK`*r7l{Xa)pt8F0N(vGCEXLI_-)7?
zO2p5GB>2M~ZHo?9VCBGnVi#fCgK9so!%<t4yrJ-C(Glqg`0`Qr>Z`DVy+rLTIHB)M
zNfi7c{yjwuTqXZS_a+>hxhF9R&idY{oCu4o<@P4PjNWD=NwDF>l09)g@oQ<-PpR;_
z)78iK;q#vdywl-G;r7E>@K{BoLoO`WXLRWyJQ-oXod@#;WRX9CnFG!&6~co${F-^N
zyVGKP5zO7-)l&$YcuYoA!2Jy~tj}S}&}iOD*pE#n??2d2(ucYk4z=SGC(cu5B<IR&
zA=)>(y{?3LyD8#^VA@k^s^xIuxi`X}VWygx&KmefW--@S_$SXIb2a?U#PjtOtl}q|
z)c_ZJTVyZ85m%Ol-oXW5xlXLY0Tc2siSwK#>RF_>;hvj`>rL=u>(NdUYwRbtbVqi<
z%Q;O2tZ?1#dc!t&JLRD!J3N>{HrfL#(8f!Oz&fX6U5NIE_-2VH{QXDs(jaWzZ1PMM
zzVZB0Ez$n%F;6-bn8Eqz5#s)M?wuvkhHwA%zDztHj%8m*O}K*R$Xp#fFKlCG04Mr5
zO4h<Le&=87!DfGjaw}kR#$*5E=)U8r{{A?C%gAUTGRw*+S=ossLNX(i6*5x_$q131
z>_}9$e95j*Hqk&SJ0g_^6$+WZ*ZKYVe4OLn>od;hocH^E@5#1?-6`-58+b7PD2)|-
zqh39;2oBjI`tJ<f>*4&V5T=ipwX}!hZ%dkI!Ta7a8lHvK=!`P%!50p3RJy=vX&g-C
zdMH?IzU>QN9W=a^1Z!8dtzL%ZGB`Jr>+jT_n=?W1rSnpTQLy1^>f<Xgg-f%751d|M
zT@(s?J?-=Nh8JE~Z@mVq|GD?;9NcHgM|mBV-cT;%2GgD9afpKNX8RS`!$Dm`<_Yjt
zm&hNsaKpZLJhAW$-;TFrd`KRP*p>q4Ig79x!2cb(b}1R=3z~`6gau#ibIE{DUj5gl
z0U!A$B$)=A3B*2<f%iXrDUbz^<|ZxegY`UG!|uU0Qr749z<;<Ld<$S7x6>6O@Orbw
z`#d<#cCRomY^}Y}{Qy=n6LsAQI}iVmE{3Nb{vBb3uc?FxSHWTqGyE)Y!V|Bk3iy(E
z-AxAg+!9SdEv%pNaF7lTx1aw|4U2aK>rueMK_PD&;hgW@32PX?@0FZRtAnjt7=5SV
zWrj~NZSVmn%DNx0-J3VRT42_#-BJ^9JcHrHOZe8=dM`5mH~raN*a07wFt>aS=h<$H
zAAp%h#Xr4*{lER2?SqS&md#pWr5fiiqp+mzczQFeCZ>OM1U{Ws%2*4ZTH}?Ph99$B
zNPPqsH?AlCfOQg8H<iE%p&yJ{tS~>Rva-&DZ#S1bVup2|O7&#G#z{9cPQrT|vSi5f
zOL|nLzzpVb_b&*A?P6n{f?&Gnuz&t=?+J+)0kA@g-8oNquvs%Y50-G=)Zhxs(DqH`
zz;&Wi(snTO51O$exbvH{_i5PvuwTFfSj#4Y(gptUS5c=ERw&bFBK^(O>n6M4&;pkX
z@_M;4o~MMZaXpvMUp0e|Rr4*1z%}J`TgdClhh(;D!S+FYoG0O?6)U@=u+N6idA9KS
z&FTZTaMs1+?w0VFYsjD-%%Ebud<M3&t#9yvhb$9<Nq_dg@m5}N{{HkW<oy{`zstwK
zUw60nk^bD`&)?mEzvy?_orAlT_GdkS{V6)nlizc%=h>}V3ZE@_y>uRyjCk?s3vstt
zH~IfeWZs2*g`@6@TAYP9ywd01ZG-D$^wLEuI9_9SfH3T96!@9UPnfpvQ`U!tL#Cy5
z;rY!=cXVO8tN-%JeC9q^zl$4umddkS84eOpdg%&twgwBy!Y;>-rbffhW9lTuiG3Fr
zBVjY9?i@jwtstWHKKzoW^TAHo=l34r0$A5!oPRrf+qHJB9zI#4@Qo3!cQrm;2m37P
zS<%7`{kQjyz;Um}94X-9IpG__aO3NLLkpPi$+>HpFT>N{^gof`n-?m0R`U-&T<&WA
z6_%*?yUc$Y_4*xkIUiut%ijigVPWnO_I{Xe2Ti#GtbfFB^bOn)<GM{A7EMY&{v77o
z$2M{Tb_rFmXoj8Y&mS~_b8lL7*TCOJs&<`$-*+Y&KY}M{X~XQ`5a#Ok2XGFjs;dVa
zojZ2yKiE<?=H&%AlZ&=73%+wspxy_z;9#T7gja5y<Gl=@T2%H<h1EC2Qb)kLmWE47
z@Kvw34q<TZd7tywVY>J)Iyd1e@qpO~Sk6?qI0;Vn$af_3^Hol<gdDgiCgZz5EH2|X
zn*~!+w_AI{zTy*~3Sqmpr<oUFKUr?g`*2?VB&!Qt#~Zk_5ze2h7_x`=ekcyChZnj(
z=v%=5rAOO$!6VCsJ!E}hQc~Ia3NB<A&@_Pk7Qdx`f<x5KZYJxM*Dds`A7Qs+=~vZA
zd&BebS=gQB5cNUWVNdzhKd_O{)_6@=WS6)Ot1a?{M+8$<VezYi-?qc`yMGCg^^T|d
zwc(xc%ksiAq<?2ikRLBBdfxN5K5Y0|)kYF-e>UWK49?hfWK9a@Ps(05hF=Hg|5k)c
z><rY7!~PRxaY}FzEnDX)IKY@S<S;C}p?)h_PsI)F;@5zi1Fzk-g)L4+vFO4g*~0H_
z;C-@HMh5WbUnO%FU~4;G4Kw(Pm#!RHPl-KNnlOiNX)rcjhIcL$^qz*d&lOO5!>;Zf
zUUqPMx=U;z%+aLa<O=h7t#)65zgt>ubb}rK)>(wXMvYyIo^aZN?wxD!V!M#SWjI#%
zWmPg<)1R>?2p%mpnNNgot9Nx=g(I(R3rUAJJ7_(Lgv*#xThidDKLMwr;jyR22HEg`
zBL8#~;Xco|@#Ok^IV3xk1Sc%U?kI$lc`HWKVdFu1>jKzjem39^d|kfvTPfV7>v16u
z=2BDITLNooRWlaA@4V+8k^9B0bU$S&ELwDCu?i0F49zNoPuJ`St%LVz(Ir>ISJ<Q4
zp1?bz%w=lfy=$sQt*|ZYs8BOZ7haG^?$51$GHore%n>V|m+&OplgBUNj`;=~az9&U
zZa3?M9b>(Iko%p%OGJ4DzNa8|z6)M?5<NT$zZ)I>*9UjZvUYue&-ck3=!N5~1I~Sg
z8BISw8-bS`l8-OKhpz`89fEb^X=eYy=eYLueuP!;@9d|yL%u2Ui5VGxcoR~+H^Hxj
zT_z@BpPDiYZg}O@xWgxS>a@)A4w%pX#>^BPk)}5$2DhF3<M|CvSsw_JfX&$NuFt@?
zot-@7;nczxhsgMsGrPd72wze4d_~s7RMzYZTJTU|z5ZXgD!(k{D9ml(FtiH)<A39S
zlC;m<wOoQv?eXNcfG_5&f2G8Dd%7x_;w&5+eAaax?U(#iGu>eKBU|Um_#71TCeaHX
zJHf565iax&miC6JW}h~1g{x%lvxmdk=Fc@Y!S~*uejEW)P`kV)>+x-ckr}D*w`}|4
zOmHicj&d68W3^$F1Kyl{b7Kv>r>}XO8SY+n%&&!CZLvDX1+N&t=Vh?Rcqf17FCFau
z^GgsNTs_F(N}d<LPS~39!QXln#Fp{-!~U~-%mc??D#)CLxp{{Qg<<>7ljG$0P1z07
z3&BSH&rgu&$CB^UpR%yb%&vZNep0qQ(wBi_ByJvi4{v+OuXX^=`mG#8&i|4!XV!jL
z{Z<J@4?I%(DeNfxGJGzWTwf(IeV?`9_qLAnZE#CY@(VNg%7cu{<oZqMy((%7uRUR!
zBF`7L#laocFl}nSST(H6*?Pqi?qTH4BKKDXJBRxjxF!F=IC<Wf@22RsgZrWcO!MGf
z#u=3!u)2UsKY8B#st#ni2zM%09wYbr$<NPdd|^YS12N=zldn|Za2XbOQce*EuO9wx
z76jk&kypC`cSm$Q4uH$-A3O|&+1)n&7Y6Sbk(dvGFK2$F4~2uI^IiSm%G2B{*Wr&&
zf<-=Xe&}C|XgEeBgO`kt@A>xVC&J%3*iWB_on<$a#KR+p<K8*I8O4&Bx8MW6H*P-z
zca+jlq{5d%gQCdu$F|G#Q$D;|=L~~6yh%hvBM)w29t|{ry*iJ|KY%xg9&6BpySH<s
z6v1m2Z8Aq-wOewLm9Vyyq?bB;;`N5F<?xMHg<qB6UJ0(D8u+^<)1LiszUim^)v%}i
z^*d7Vj2b;p2Q2?fk4GH#Za{@Ptg`1tq9ClHJLKL47YYi$6@b%fGP+;ED;?QdTyTg$
zZqqwB<mz$+2V4|%hW{<h8RxUY2v@W^vJAs*lwHbO;c8|f&p|lX|5!N<{83uKVI1}>
zx-&xsKX)H({Q#%Layu>~o)|gy>i#d-`{ctf3-B4wYji(h-V3r8zu>iIucg1R%%&^p
z({R_3J*WP_yJD6ZKf@^(x9hIJZWF486Y%Lz?L|xQy{?AVA=qN7<PPN-%;!H+(2)Ie
zgbZv}Dd1ZQ!M?9yGa0pCbg&U^LroVf68=k{7T(sbD)9{F3@DIhhgaW}l{CY=!iI_4
zVU0HFUA6FpqHyR=*q_4Dz8a?Jc{RZe(^`M+FNJBF?)2`0!%uK<l)&mbhvfv|lRML6
z^5BH+TSY|SU2oc7<-oJCW#PMFWvXLpBwj0PqU@>&d-SC>rNR_~gU{t*PGuhXICybq
z+LMEDjKv}E8}Rao47Un=d2icyvOmxriu-H2Fkj!AYcRZ<UB&tsoG}>s!3XYDoiQ+m
z2hL>hUWV^$hL#$^sXYS8=i!EDV~Mu#R}(GPv#^rj`B@uSb-pXo4rV)A*Xs@^_J5+Y
zfpu0j<j%wX#peP{VeW!2!rt&MW6wGh_~9|Pa4+~o;>tc<n71p(B^1s*wpy+YCqCcx
zJOsW_A0d1QZvCxSoCq)U`Q|IbyVN^2CBU`;G~BYV(0Q}fTks>*f2XA3jpf~zsj!1#
zSoa?IgWN~e0$5ee&OjJ`*==$!4~`G})v^;V*fS9S0Oqb5pxOZoRcZe&f-CGCeOTb9
zDe7;Zz}v(m78&6)J|)t%u+i2!H(FS5gRo#TEMAyiOaotd8+)x0F8wRYzlwaqAd83N
zYq&dgB=aA9PNlc43tnJ9zkLQS7AU$u3b%1?yEzTt&Y`0lfm1tk=s&|%56=Dj1UH3V
zI648J;eBpC0l&|ttRI47?II4$!A}AbRQln^dq-~1z@goO6<u(+;-~ZU4ww(I+FX1N
z&oxMO(Zb&Le?B+DAws;_yzrUC&3R8?v$J*^cwo2D9L`GkcUr)8E7-W}23sENnwj_A
z0{*;l?{%_&l0;%f<~8_td|e0GU+GL#hFTc>-g$=!X?Kg69()Shc5GydhYM9^{pw-e
zdYklH@ZK3FmU&oVU!Z9WENdxMwE%Z$ycs9^1KmtnKPBRb<9l=6G8&c<kYCviSH|gm
zO@#H_UX&ZccV+r^k#@%*R^#Jv$S7|qX-{Zz5O#&TzZ`TU`w7X2J#9Y=pXd!+xCt-x
z&J_B?4wa#oNPoFy!(#!kWa)DXvVRd}RVL3(m{qNyj`V*mvAHn?wz~RFo8+&Q-k2wq
zz$zM<G-+^J)@#`^_~)|^@ma8xEERhryg?vsE9tM?bgjAx?k(?2%ZG(dJ-+=0KByJQ
zo&%5P98!J@@A*`dP4-(_I(&&|0v@k4;3NA{oj*$3_z51iiYg-eH~EeWluyBYE_&Zd
zzN~Fi?eU-R+_$hxkKyL>e)V~Hl;=nl*$--J-ShJTeBJwsYCYUnnbfxqbM(pwK7~IE
z$@y$>!uUvaj=l|kJZb7e54T<y&~AY%0#+F|!JG+ZZ(qVrdi;ot<NFkc>9&#mtB%ul
z-eHAlc$M$;z+XSj#_oWfmnMf_!!Me1q<CPn2V72r@PU$-{KBwNMN=NRe!0tnTSQ<6
z<vFP_*uJo+N)k?Wz3EQ!d74*uElR@&U;PdH1sm`ge^Y|JPbIdJ`^Wk(>vd(=R=UZ6
z<o6VEG_PpDg5S+!Nq#S%udhK1=KETiOYT>dOIykf;Gp#*6IAdKqyPRKhqb2e{9}bP
zbSFQbg5~W+70GyT`>*p$8~FOp!a*^(T&nb`6TDeel4CFYI_hY)8|*E1zlP-ZDyY+v
zyx_ntkwuc<v)QWa>kH3vq^FVm9_RC1*I?Mykad9M_g2%y>J#8YVP0BgaA0deX&Sun
zay*PYKT1YzsE1+m>Mk{E%pVsoxy*lr4_b3vCG%n1tW3J!FlBtwfF|th*S53(2le-`
z9fA82Swq+0UUO=7Czw`C(|e;c>c3r;gB@Vk980TBu&aiJKoHE5mTJHPyL^v19RTm+
zKAp@4zh=1W9ScWSXNL2@MvO12Vqng@-Y@xKY<u(K4!mpPY26-pTkskkiMMHsWm1a6
z3W4;z4`3?JsXwxCj;g3t5qz=GK2;v3bddO3N!oMEqYlE{20FqOa7jjSml}L=(m=Td
z{&|q1=_veD($TL8mM^$we+(YUcA|L!A2Ay|VGL8U`l@%pA)jp*P2iJOzFj2#cq*sn
zyCp2L5VpA+{+!w;c^WqDza}sSJFdzIIK%GU(Wgh@M*EId7x=Ja<c}{fRlmsNi}1hj
z=slld7yG7@p0L=T@TzIp72C@C!+|QHvm`z`p3?O53cM*eDBusAE+jM_3eU}6eliR1
zUF*0O4i9Yh&|HRZ-<I%>g-;YXg#LrI)A~8$;n-AbMoPqIoz+!0-GVbu>HR-md%$`6
zK^iQ|e`J8fbLsfZGPB^0&5~@i@W!(Y>N#+Bp->hhT;MV$QVCDA{@Ae@Zt}`_Q3Yq6
z8!I63V|s7T(pI>?A$b=wd_+z0_%rytS40UX%y@)Jp%0E--6P5dd%hkS?1$&;xE}Jr
z>3xstC*ie#A}Ny36BoE)`wbS?x&34p94G3e`447R<5b{-PsnS2TY^_PHa72uEj?oz
zx49tx{$iIu>3?wWvOOy-F|lQ%7+gA6t0V?nHc&SR!zGm!BjWHq&Z(o4FniH#)e-my
z-&0CaSgvi}Obb?dnt4MS-jyaJX#*GhJgO-U+iub5ISv1OvG<J}%p*IIeic4EAlxni
z8)i_chQPz3G{+U->0mjw+pv3#2?Ke(gBo@<>F`@#shdjhcj|=rN;s_8T#vk-CI1VV
zhj8B2eFG|R?$f^vo#gKoW#UPGa=*-hk}g<YkDgl%F0rRf8ihMF@7*N*GjAKpkHI~T
zo_r*~a5~;^%Od<VU1s1A?9bm@_7B!tp|(E?=lx!eV0Ojlx4g?m@(<sJ?e?<3hgRM4
zbm1+b;gow}t;i3SB>#Ek`M*3dILD=ElH@Zif-P>z!pAB*1WEogX!`8|dDzD_sg&eD
zo4%#-X~I@&jeCq?Yc}pyEjXSks>%X>bSmhP0sJEV*33zmt%T;35&UfT=_@4PDX@N4
z_av-3>RNLeKIXgd>l93(yHCRfeo*l2oh$6Mq*(6&pZR#o#|_@?xvEX_ouv&eu3qpC
zx1}(Wzfs}0+UgC**VZwSe5dH94vIjycKD&5Cww!>F*gYQvVM8MALfaEn-T$Q9zDC=
z4|dysSt$w@QWwh%fn$}wh$X<4Ra_%i;b+_8UMIp@p+in2-{dDi(Q+H6=4s81fU|f@
z95djfEg_O5-#K}J|70#K5$5C;3sawdw~`0*Q3x%hz;7du{(1n5eW#Ya2~WS>kW>nH
zC^gmJfz|1K!ydycx*5yqu(iMZo*G!i(=0p}R;VlGZh~(-5O2wbEloWdn&C@@lX@io
zR*^eh{sR8IsV2G*{(R=)iC3`O$i?jy@WTda?RW5k)4}6q@LK-*k6w5u<NW(-Sbb~I
z=m^}{RL4p3eYVwt!sBp@g{Wi)Jl<Bw@ePhUJ9YLM+!7h`^gDdcI%~cQF3+YforSeh
ztYtdk#+b?Df8bi{ZS}n{Tjhl#EAXBA7fWwpvsUA8t8k8GK-hbjbzyXv<}B71pQM_H
z;5f<lAX<2r`A6LexcIz@2P4c$mk>1$J9eqDF~f33YOLSk51eo4uw_T1<endfUx_nY
zin-voTDOOP!=;NR_XOZ>Eme+R@N&Mcx*)uGU^;sN=G`<VCkFqrzwzNOTsQW9P#jJd
zS8`p0rHnjY$-!{}z4<F}{=j9{{ji;-*wZa!|KDHRXw_gH`sT$=Fi#eD(P7w~$L$&`
zyx3BGM+ZJSx6-f;*1YpfO&6XR$<yJ6C(ludSi){EYFgOgKsv6MR<K9IX?;HUz@wTv
z2bi~iBAN%*_UW~Cf>X1iwu_K<>B}bWu;@7LaUu8__pQYXFk^7>dvW;t_<<ijaMV{J
zPBHl3tZkeh{Lbomjx5~MsPB{r_k7|yDG76n2X9J-P12rBD3JaaG@rD<o5QB`$m>nf
z#M`vN>g<sNa`1za^c~aix7}Z9NV{#%V&hNvg?&&wX<u$_y|vK|@z-45BU12)x`YZH
z{BCDew<3Jq__P2AOuvI(oAe(^>UqWqcic<wQGpNMqbc44XT2TOQGz#ST{YYbo7uYe
z9){-&s^kv9FJENpslxluDh?^b9(IxgTCiK?+gBQ}m!cZ0ChU3F@}efJp4W9(AGVnN
zXRi;_<O~n#!eTU$bcQg+XD5df@KO1;X&ZR+F0T<IxQM|r(H0&(zve{te;$}z4t0U~
zOILHq{?E*xQumyNx4jORu!YB7?cd=EGb#qV+Q5syhZ?<LE(!X-PO#(Wz{)G|tGYEQ
zN7!zkka-~dGcxSSdDwN|OPz4o^pN+08*G^8{VM{F8Cwp%1W%Xoe2jy$8Yb&J;a1)5
z@C0~D)=iu2S3PI%>zf7_9Wcfhkg#45k>p8-H-`6Zy#}w1hEWy4A9_>5gWwxyH0~F}
zU-xh@N5aNz88@E7tfkK)L*e^Y_R{rm%VtfM8?YCHBSRm&%2f0$0ycTDzqB9zTr6S~
z54#KRkN5?14mnU?hu;fwip{_RRUcxL;69h_)b!_2FT${(77KT`Y$#-aT?Nj+N`d9x
zEnO9W6SAy>65#r%IUzy#{z4D^ZCE4W#&304iA8)d5oS<Mxp@Sx8NL&e4sU7}I_&@p
zE>&JghUx4M(m27>vi!>#aEL=ocQ|~&bnfd-_`%W-uSj?wm6hjRIRAHyQ#_n~?^y}y
z&t6iyIT1d|FS$PtHsfEP$%0KY{*-3HwV86MIk19=g%a6sd|~HcR1sW9^Z3$zxTK9$
z@&Rn(u!Eu;Hq^3at%J{<dFK59rYg^_sfYPH_iT6sTRqe+eg+p$UskSyJ+u;yI^b=4
zhn_u!OH7qCUK4xnqI?4HVUGIt1{MqpjcI}79u0Sm!#m9AsT$!OGBREhu)K%!jSg7(
z`H15Wc<)M1$1_;vywc`rc=E>v<8Ju)TGVsa^O)a^fA=Hp$|t!6Szz9&_}^r|bps7c
z`dzS)`CG?Y`0vuBJwNPl+wVR3|B|kTnC^j_BU9MRh{ZOSi@@{p2X7R>PouJOB+1`@
zGVLJ8)6t^BTnv6#onJ}L*PZ!;$7Er*-%o#%^Q*VxS)MffoXz1(G|UsHcS{L2-QshP
zT(9aTC-oFy`JRsG%dj%dfT}8d+<35!+%G%de*AL)j+GKEKLZ;!n@_64hm{ql?BKt*
z>@p6)efy&N$^Cx$S$C{9EZC8}%@Cf>8&E$2Z|eKJdJyhnR*~0(XXk$^lJSafN#n;+
zc<;_bf@Hk)$juxvg3CKJZA9VB6T1`*;r`TL@A%=yeqT{@*pPCLk&O3ytFC-7fpa*H
zEN_Jeyk5Mqggdrq%5Q;rGIhi(;02RkMbvPCViJ!%%t}A~g%VCY$?R(ji$6`VT*C8e
z`MJqi7x<`TLh2%%F!s95iCF)@7V>=ju$!^k9X@kaTKgw_{5ADCH`q-+LS_WEFjKPe
zg4O5z&kw_gzE;+Fz?#v*pL$>wtxrXMu+T;hUQ(Yl)@iZP7v4(Wl1%0gZ>b{|ufi+p
z<=tfda3FZ)co6)e!tw~IuM&+HI1&N37i(R83R_a9+zW&KBj)~A!aCm`CES4H4h>6@
z`HX?l?y2kW?udwdGT%AOq%oQV8?K)nFMxNRuT)Hgd&)V?NWBpU%?r`nFzdH}31q(Y
z##|xn7VJ-3KuhLh1MS+EGvR^N(8EcvH*?jSyRcxSbagZwXO7ecT%fXLE)tG#O!mov
z_r7o*y$nB{N_8!Q;~3O9N&OK|IYnC`+`jo&EU7=b$hiKf95&tD`ur^X^0@<Z8SL)o
zp-SqH4pZ1rRl^edHT-Ph+hr|QkKo-bbHB`C#fHZQ_3-wDCQ&mu*@5f7r|?4Gg-m_e
zMwdRL6=r8u9wzgBcGg#hO>hl+`m+PDoKnT%=kS{k_8Z80CCy^nopw0+4$Eayk2G^~
zF18!~A~;x1)>Cd5jlOllk@`_0A~2P<_;4@Gee;-|5S(!$O70zePjsb!2YiY8w8(q-
zvec7p-0(iS+TbC$f1g|AHrP1sy5~oDeqN-73EsL*W%ma-?qYPwI@Y_j12kNd@RKI>
zZ>w;#nU&XPcuwiB^<TJkp3iX_KC4rdHV0F>c{l!mgC(sP$$Hy*LbhTK)>~uL`34W_
zM{b^l4;nN#koA4iUA47;u<gjjC9=M!nE6~W53?-veeQ(4ucqX#!6r<he55|f-Dz@d
z1!fwQPa*LKqwd7t)b3axl#jh8@rR7!aUCjH=Sz}i4g7N|LU|K>EKn)<F}!Qnt{GbR
zuuYa*K71ml@gpOAKIBM2F08q-S!FByO5)!R5-(XW$&+A%?U-+y-G=pYe?_vwDSPxg
z6X2`8A$~jH^p`(q<Kfv~tdg8?o2SWKAS`BkkB=Xw$oeHt;x~q3lYYGLoK$X(7tH1D
z<|YE?>{K50fFCMUJQIS?an2Z%`XAO)($(Vd&9<;uXINsJ_ck$DR{Q|<X;^s643#Y0
zck9(bYq<4^w6!#>>lRXV0=9^|Z=eKUNM-tE42Q^mEmVZ7`<|US20s}yPd^0PG#TAH
z3JVnU8mPcokL#lq;p`+8wIgu4xK^7y{I$w2T^&yTw5lWlbNY?M9D~`pu3Zv?`xH;8
zX~UK4zfW_+E(c4c4dH}F&vZ_Ba`;<}J}mo7l$qpf_tzc_G==ls|2szNd+hZu517DQ
z40cT<UwoOS{kbK)OJ{VM#M}7)lM6fv7tiZW&LN-Gkafk~7T(d^&QJ2SS``(~ZQy<H
zf>KF7{9(wSS|=EV2X9C|eKl(Lc1Kunq(qD4+f`*8HlByyiU@>|eEqR~si)oGFy`Tf
zcd%n+mys7d%zaGyEqw6)T9F5Q@*?$pQje}cweOA}Y<}S4M^dl;;ivV24}5<`)VvX{
z6^QwI6*dV^POOKOXsQnf!RIRV=}3LU3iFsu1pIuZ>M*HqIQfG<HViJk>0Vs~)4UN2
zx&b%b?U^O@6q;EkgV$lNoEy$0UmFw``y?IywEO7D9XP$dZ2N6^zXOdisi&_#G_p_#
z|1qj)Pk>vx{u$kef3~@+M8R#JIAp6~Dz2>+VesoWlCh8Ag0@#80r2)EE!!@5Sodxp
zsYf|ja^lG=n0m!p*Bw4kZWJ^HcZ?sBbB5np9vAuvGf@RJko;|mj6UreJhT0s%sE*2
zuGxci*jROI{Ux~Jh3Q?|3y5camtG|GMz)p?8uYOA*Rvs{p5=#vqcA6|aIIjT<cAX?
z172~#`H`bngJB<qpgI9q!sl;o5RCO0y)gXY#p&*NxQ(W1NgVcK^PngB>S>uznUe5B
z`}`!5&)yv~ouB~g_E&V0<8^g>yW)P>fAO=~UD)L?{~k4XYw~nL2E0_S-+dSskK)~t
z2VdW9*{B0o>k63Wz~--F9d+S`?Z#u|{KX!;Yi0tgZ7|{@^<DSq`&LiDl6SA>R={4N
zlRvHCymH^sGPv7Y@TLuXS>V1i$?qRpQV4f~hpjTQAH&~S{KQ<~`0VFm<ocSs7q{~w
z{F$c4kz8Nq<-D$5@Yg;j|8Drlh?2z>m^WpqsuM2njoc6jy9o%XlKPc*4EeKR@HKh{
zUvj-uivGJ50T;Q*P?7tg%!wm94$k*sQ5lAhm0XZYfbSI_XrF+C|0M9I!Tu9$8%RA%
zyxp(%+py*jmFwSOt@3R(+3@mF);3Zv@kaBKO)h*>NXdZIr)<1?+priGD&7?J3ud;U
zTzCLST1c@h!e62d2J2vr;<oTV@Fm*Dpa$5){wvceylHImLOXm#yjX|SZ|n}WVt)?n
zR(HOm!gwL-5JC3_*8DGKD~Zn!Nl}*ez`b-2ZZW_bToRc>aH@b)52+8iv86=wJ^aZe
z+>(q>r`CrRKEYlo2U5uRbcD-x^fT<6agvYJpSZIobWg*tXc$hh!4ziP-oN1J55k{#
z;P8`rP784Mg`S-|;g**7TmHc;JU<JB;JaN+>l7CeAMHyX-v!5=&dZ~O8O%%1lJWG3
z=Wq%GoT+G(CkmetzofDmK6k@aQU)H?ejvdLH{7Ik*#~Qi>h^Aj<?DIp_QQ1g;m>x$
z2Y)^mBjdTq?`{@;*f{+2Au`^}S25D;frpuW{IuW&ui7F}*gN<JwIQsnwvr(YKak}<
zs85`2^<55LJ*9r!2A<fOH>?8Zy1cw@1&fthgs8$N_(r!o!W4peo?38@sja~oSY3ms
zNe5=#6l#A7wmNyP;yB!tvEhy<eDvGg`U#j(k-t0?F1o8dV+FGbrF{>96Z@EN*}%#v
z1zy+T=B7G7ci5^jYBB=usEOmh2tV7Ka*;fbZ~XeQ%@-cFpeQ2w5)T_@x65#S=^wsu
z`0)Vcp*UE|a%bmN*nvqf?FRg=ibdTAwr*FmegL27blH6oUXn0<Tm-W(*xe=1<G)(W
z*IVFX_X9fiu-<)I={9(5O!eJacwJih>l8d#YdmWQD{?Ex{e=H@8ebvpNotdJ8$B>T
zuy`gyj#pFgDm@)scE6?kJgj4#H^K{Zonf?cf!*iZL-}EyDf&tBc_LL5oc6)e$-*Z|
z|ED+Yw#vY2yLczOVUbw6k2-L;&7N4&-~8aAC|&r^Ze9*QSo3hnSxdNDm?@g{kFWT-
z%^IGbr(z}fr`cSqzvtlWy%S-i{@SuPKf@hPqU>cP=jZc{4>vBucJ+1I<oqOk5ts9Y
z6P-(XqTxe*S?p0T*DenYa(=jeE!IcF^KVag#lbSdvSo>IanAu-a(--_;?0ubTGKrV
zDKM1@y;3f`mhy%&33fhlemoC;z+V@W4u4}P?s)*q+ef#h!Nsy{ex)!|lb1m@oH%ph
z>|>ZxR3$PKu2yf`Rs&O52yZKd*Jx>}o8VJFzUdUeg*Rr7x5CCrHP+Rz^o*j$E7&LS
z^8f4G(^N{8-oO#fd*n#|>iEF=-a)wc!1%c?_=Mo2#8tRUTtbViPa0KCLTNlPUQ)jf
zBI^_1$5gvE!*}i;DEJSa$}VALh27=*KHP_Qdv|W)gc%b~2Q<S0X~C;}@U=&O9yY>p
z8Y+1Lu+Z#F)#tFf`&^1BeE*<@Pdl7>-}{R={NM7%m;rd+LwZ0C_RNlN?SpkUECngR
zUAr9gKfud9k1wjiw`abEll5dwbSS49Ja?py=?ffdud(SU+@z#(^b>5O!B(jQZ?$85
zI|Y{u4&)w(`vamk{eYiKl<JzmTs{^z=U_)R&x4lmSnZq68TiFfgD+Mvb7YnoS^t(O
zZXa-fU(aldC+lB_oAW_V@UMh%&J9>E7q=cg5d<IS<!)I<`*DAT)vNHM#V@*KeSJIl
zXlo|CQA|%_73~u)dOPmHD`BCze_+arpqWQ-{Wcdp5?^*t3{R_u_Z^q)C-LQ)$cN`&
z!;uWrL9_5`a|c@wOnt44p1fZ|lk(CyEF{9|NBaBLnP*SHp?O186nOtD1)X7Y@YbMx
zUL^j^=rAk(7uKMfStXy(f}@0Y74C`OE>8u!t@pRD!R?c88%R7lv*u>aMlZ~VGv*fP
zVc8e0wsi1VTUjuPM<2T$YRm*nX1%Oof?eCHmzm+@I}z%f@aY?V)12_*dw2Xve46Xa
zPnDhU?U8M9yJ11SN0LIs`**bq!`fE<yG7x(_j+dz!3E35xTN8MHnR*8FKJ@B{6rD1
zdn4U)8tw=*d2k4}@RM7%hW$1d=xf0fy0ikpu(nRZAp>~tL&{SmKFQN?F4_#Pxpswt
z#MkyYIA5`WBSzg1llU5!I1`T}{Q9Z5%L`aBhn?v>%+b%8MdDp~{41v~!aKfuRSm)$
z6zGk8;cr$JQ~mIm*mBMl*z-i?`d8S0d`n6wTrZHUFbU7-Z<&mMTi3qoEW)p{g$Co`
z5TVwPdHA|+QE&qML+;$>by&2Z%`**Fyr!<P3Um7#?nsAsJO1dTF~j+O@3u7uULSl)
zLk-8e#@gh=cR$f{Zij`=mKl}61LeJjEU<}?)>0`PIOsRT4d;lRoq7x_cB*aTf_E^}
z-mHNg+CQfYz`WSzt_e;bFL=ubhjv{UXoXX`roZfiYyC4`yn=aR3wfmAa!n1-E_mvd
z&V5BVY3ZUvAN<9Ua!ekc`o*(#02cGfc2R{d{ijbc2H#RVk);AFyr3u?hfQ|;5!Hn4
zuS=(YgC(i5?KI#A<=InHungnKr4um4wxQ8K@L_|n2gdMCj$0A)aQJ0@1xq+A=#B3h
zygJf){uF$xELni!66TKsHj8#J56^2>IylT>P0|)NaI$mU1Y6wOr|tnSc;=Y1z@}j@
z{4T(JF&-PX!<Sp_sC{A6dk^P!z@4w>4_t=FAK4t?Bkf6o29dD5%YB92@W;i9@NhWW
z`P$eX*zt-sQyd(`-_^4Z7N+abx&fygEAf|ssjMB}+=Tx!ET207voQUjONMK0#@JNg
zql$rv8E~qQB>fRMk7@1sZMf_ajfFOBlgB?&1ZQ!d(ldlB`qEkdgV)WD%^Sfo>SA{*
zV5gR>uP5QI+gZJ3@D0&h2^MhLpp;DwY0vn5%^vnP%Sw3+pOlyqbAaQVCHWfRtb9%0
zbMXDm>1Oq$zr9w+d6?n1$oMmu<6};(H*8fK%h3kcJTJ8Ofj3^@%I<_a_32En!pWzv
z48DX7Y+2TW;ef9j?cc#IQ=T(Xu<E+~?H*WEH1zg$*zx4_u3>oP$(NWU_*BXfi$T~>
za7FGW+|=CpX&k0x4_mK-yQ!&~hv0p>wx*RZ_0~W|@_M?$+YhwB4(l5Vy5Rdye<U=)
z4C;Y9$>+cIP&M>995-KU(h4^oVI6LV4-_c8d;+(z*mriruedK#){^!+a)Mp(mHj_`
z%Hh#NL2P|6m%CtDDO}!aaPA%H|1V3p0G?J(ws{W+{C;PZ2j8u=do%>gd_De-oZnU2
z?E4?#<$EEU(&6Nw^Xp@9CH01oM3_DM{>)c6H9)*39u8nvz4sZu*C?7F1V8b<kT4Bz
z?JyY$faATCzW#u%^4}U?f~gA~hvwkv^Gng5a8IVhzFGKSt?!1jaNvI@b}hj(>UR`f
z;A0uwev7ci%8t_0u&lp|8-+L4Z(1r}tYI3b4J~VE_i(GTG=-(Oc^+;=yPwZck_o(J
z!`LPo_&I|GgDxBpy|B6&-Z0>$rURdKeQdG`HtzrXSPd3_{#=s<u6Nk{i;NedIT3f5
z;VnHk928*L{^U4LxRgIDLk>18GW^00uPq6%h{IJ?<^#O&`%N-Bd*P*!ZIV2&$nl4b
zWPB^J-Oeuz9~Nw0AmbaaXy;`?_<Fy_c@9`&^o0w)@Z9*_RX>jn?*FU6z6V~_F-auj
zFWaOT{XUreoW*l0*i8PTjU+stHmbUe@p^sbjgbO;IN+oAKlqAf*nK&ej@@zkH=Ov<
z{k95R{lro57aX|qR!a$f<b0la6#m-#aQ|UgI>Sx-J#3lp7=H+MEB#&n7FIu@9-<Aa
z<o@{k29^)VmOKLQ()jbS5sq>3=GTLtwNG(2z}uPxeU8BwOfJTg{LpO3oQpAWnqxc3
z551FIJ*N-9Jo87C<iAu?8*EHrfsJ2n)8L*>JGPMiHNSuBN5Y@Vde=_DKlwg}g~Q6$
znq|k~#NJDN7O<A@R2FGxUv=C<@||NpYgfqMZx;8QB>7=34x^tIuv4Htk34)Np*Gzd
zX8h^AiR7ch7PW4ihE2On5ATAVua_xV!L_EAl4SnTC?zN60RL>$awPK)hmnjyTbSBO
z&v+g4oykUymoBihgM2iZe=VLu`5Ao5qlSXy>(8<tX1M^<OW#u<^FfZnS(o!Lcd<YT
zsSmh@;%aZ$NSx;LSNL`NwhAv;lQqg>43-xU%DDn>G;>ZIh4((*yW|It|2IWP=CcX2
zi9bSMsnQPBcd%&ew_8Cl_v<%eE$}R@c60>nVP9n51mCT@qYw(OWmFlGdW+#pbGu{U
zGY!`xN?<Dbzhb0+<sQx-$?$&XgFJC?&i$YKB>(WGH>W!s{^}p>;S3*oFxVIi8_k*)
zI>I?mT6nL)+qX@A5rrSVA7#1@4{_D++yf7a2Ja;QPwK~m+V8PmXm|44N<L2j2WQX_
zZ1-Eg(I38R65m}4ujR{@lh^wg?7Fc8-n=F1VIVBbH{p^@+RxhMlh3nI_#`tCE|;wR
zFBs0%k)ig5c@-kkqhQ*73<oa50%iKM<o_%8i1`2d@>DF_1o{6)xGcW9p*@N&C!QP+
zT6WW33;3$AU2rmdMqgy}DVXBPv_t~@*iPV|Hr&pU%bNxp?U|7z@q;}D&fcl;=&$qn
z2jQM!PN#dYo{!RqGW_XkCTj+~KT!U~UfB1qHcc)(d2^kD#5XoP?5fCwrz@AINqi;Q
z<$TV4_`|7YL3a3_`W#a1nBT|OGn4qRnqsut16Z~_M4QBiHA8xikpAvPD@7#!B*teY
zUj|zqZ1_mxPhrLr6UDITL~VCJT)5BST@~y`<G+!_!*YVY2baUj&E9jZFxy>wj~e)m
zr>tlTY)3Ej{4tyuTaj4{|699N(*Sc*p6joM;~mVI>fz|9A9^I7cU-!i;u*ZTAv?4L
zK9C%0)(T5j@-LJ4A&riy;yd_pN|<vt9Luydt_PlNrTIX<e`B{@`t)~rym&n%8UDL1
zjD8BXW((L%;=LIxTHlx9wuow9(!cz5cG4=G`B#RDydLW#2d^!cG5@}6b%De)E2UrT
zWQ41k`v2v_#Va?~cwmm1pN=Gc`Cf6kfDcY_a{Nu=mzt9eky5Zrkek(gc=Lpuv^2bT
zY5WWM|6(qs2`IrqBGx-gVYS<=uMWV=o;~>_URf_UT6_$?z+A^d;@fOocBXnTpPl5L
zr|^GiVhUF9UwJwP67T#^rDn_;etq31sR_=g=6&M`r?HPdZ-6ty%Ke;Sp@VwH9q<Qg
zuCo{5mERAdp20tt%2+*M*>Bt|B>s6RkekL2W^cKCl*B)i?>sK?hv#EH_4LBFLW1|M
z!4o$Q(3AM5vbOVVIK1o3wjH10dDo$jv2akm{c#fST&5P2PlUa_6&y%BGPgNL_%^I4
zdM%yg9~RzH`rUztT8v9b{4qi7s%sv+`a12?2DqX?j<o=$ZlE|%;*Y`952;IGo;kH#
z5`TR4VXt`woW#84G0B%i_Lphb!i#scr^)qSui!EJ1h(%k_U3~NWd40@fgfI*C?@en
z@w$eXHsUZ%c@bE(PCK9z{&m{Njl>&wUSJjJhA+zw{UzVWHu1X0-VfiArxhdd#(2XE
zO#^V{u+u~G{q0*_k=b8i1A!`j5?@?&wbT6$E5F=UMB<A_`8M)U`k>y&`-~pxAI~z?
zP6b<^XzU~Rd*hjyG;a8c)DIs8c&a2&eJ31sM1%4W9FxwyT@EfX)Xr6cGnKg-<l+C)
z?~1F#*WQU`YQkc^*V9ztE;(5pZTNNj2LUqvye!q)YYy|iuZ`7!kH0bNJqe$d*utR)
zYlyo&a)Et)`>v6A=T^qB(`RA5Zs9G*;WL++j6C7#o7Czg-q{u+vFru!tTTRP4sY+!
zdLIgh#o%Y@Nqf@y@Nih}v3?VYcUE0k@s5R;8+aDTcuDWLn?D}@_r&$;8Ms2Tn)wzS
z@<Z+siT_nNe0!1xzplQjO5%SP(>L8Ignyi*FLHw4`W?|Kf{R3t%U*y-yZaR?;X@gW
zt|Y$qZ-DJ%6@2)h*&K=287-)^w89tdTdhg_bht6>+%xzs9m7`=uj7g4vhISNpVsUo
z@xF5bPIRwf2AQ>d60g(ISzGLf4Yw4&C-KiSPKG&y@a_{+4pDHQ!ndSxn8!3RJpyhC
zJaljZmT-S3NaCx{jt@)xfV)yIog(qO=oW>+DR^t}qX`nf<4k||{11Gx`#9%K_^F({
z*F4-AotS+Gt}*vGvC$XxK`wP$Zo_kx@7HPJ?;^`7Bz|YU?*E$+-dY{?ip1}NLVw(5
zh9|V1ognc$%eOJtIpO>@gX;ybSI7o=ZuqXvb=ESt<6W-sE_g+mNryZ?`ycSU5rjG2
zb>2RLGpJgd#9&6x7jzHd!j0-~67W%Ps>C{Y*yg*XJlvNV*!~3m5p$ka5f;Dn$gmX-
z`^LVgO8P$&3vY(+9m>j9gP)wWXM73Y&D2dg3Oi4{(|8Vd@DHmTgQrh2biILv!y+Y&
z;oXbgRIg!2sU3qRaHDEb%mB=n`trFY97@g7+y@7^o$<1U_w3X>_5qIR+wR~9d(#zO
z9f3FZRWdrmyJv^!zrg3zohUBA^Hlp)Kf!G07>X{!mGv$iQ*hfzL%J_axzN1&9lo>A
zS<@eW9x@v~2eXIwid=`MWm9K<!Q;2Xdt%_smR7$-I6LrQOET=E!c;a7?~5<yxCMVt
zcW$P|d}nHlD}5%+bG~GO2Cioismg*!RR*tah0Cvh$t{FK<hdSghF@3QHz<PT`qfpp
z!}Id4hbm#c`5-SA*d=n`k1BZH>HaFIXQ*fVJNy*(dhkJ-3%-86DZCzL{Jrt10KADU
z;_@^2pT+(eKA2{HZ|8HEM<9$!8us8?sCxq+{!*?e1^*Y=?fe#Qcj;?Vgq89$P7cHR
zCTsKZ#AYW;M`5K54SH?(A%|Gz7x?$6<3UZBS#$pHH@IWte}<$U#4D@o%M5%!>si<d
zcsL+=avtvI7Up+{DHyy5*5Esblub!J%4TzG2}(cY8ytO{17W_vBfJc-*hJ)=E3j0I
zA|E5nHZ-D`0&kz#&CCuz8Jj#u=BxLQOFD7EGSoY-=E1@0LgoVSJ3Ib|IdEX;k&_~@
zdf!>YI#@AZLq`%$u6GH00*flTWJ<$DA5v3a!J~8M5|rQx-uPE9U<Q{biK=iR<7+1p
z4=y?J{F)YgX|O5dBdq!5o5WFAKCM@X#Dk}L|M42ZyP}#;eS;~-HN8z>rK6K>B>tP@
zYUyMN|Bdg;BJtm+bC2q5;2f#nl_VZ&%HC7r1Pi`?^OY99#iK-X7IrcCy~F{Fzdtqa
z0q1JIk|goZAMcX0yx>sbp=w^(>*nLcEAVUe^68zh`bC9rK`@QRi**UO`K8TJ1iV_E
zE=%fTKa}K!MZt!H`E_!z&gR$N39!DG=d28z!o@9+1nW5j_$$Mcep)Q)u#xbQG9}ot
zDz!cX{yV9+Umd>9{;V_?{@2BHUJW+6!flZcYuR!v9EDBO-|{|#%M2EulX_W?--<8W
zVGFI5<Hz74kuPzRaOmM%LK^T@Z;wx(;q1`Vj03Q<YxT3gaPD9i4XM{n<W=SV1DBh1
zUm^9v`pK79sr)g2=U)807yekfXhaD+_WrXZ>%HDTTh$q0mp_pSq~5K2OKd6~Ji&dP
zj>MO*iQJ21g8Nt5RLJrDs<LBbE8LUFSw-sK?8SC>vB8fOvcGPIl@8?yY==da@@z=_
zJCN!>mYwkCY|&&=|8}wV&QnhK3*WvFk`E|(lKy}nR^zIAMB?+>DY2$JFjYluE?Muz
z^<L8whKH3848Di2?3>Xb{SB)$4wCg9H^-3N9$4gFiw9ZXQ5I>x=YzS2y4%S8QM-w!
zb2t38Nq>plAL8^k+?e5CV@I#-gui_H=1&g~mo#XR-*ch};d-%%;}?+|K264JmH*NP
zf5U8MzpKf3{<*rm_Y0iK`Z(kkeCn;n=TW%gGrK-{el02#jlY9?g<r9g=ee22@tIff
z9X7!Uk}niH)_b@K7JOT^i_E`FKO`Nmfv>Sp{gQxt9@*=V>&ZhX_!y~2pgv-Iid=6)
zgHPE=y@LD8T;mI{uC0DQ`M$L?^OU_a9L;wrn|vSJ<WlD*a=-QcJ|{rFKdfVRWCyt)
zO>DxZ-Qh>g>um?%ic#5I@_o7by2L&iIQNa3yEx2V5WIIceDm#wQu6&+K_M}0c!~8q
zCyn16Onp>DnGL?T@55p8{Z;L%&$?UTOScBMG{Y3!DcNNF+TDFtFC6xwbE{m!_@*6Y
z$q@<P{c_8C7S0~ha<ziZ_XfFthvh=0<ZNKe6HaXtusQEhCKY(m;#40Qf4##+hY!MD
z46b6ma7zFFM?2tmJuWJp@TnD+U>=z2J=4Js*pubtXKMJzYfghkc&J6JY$F`kGHCDw
z{=3nQbsE3NI{WFzY4Uv8roR8fPxxMAt8EFaT;ZYK3wv!H^T>z!{q}F|hZ}m{c#`Lr
z)An;7b?~C@d}tbJcM(@<ApQSQgp=oCf|Ny89!#4lkxHJI`<S-76~NlE$8SZzZ>UsW
z-+=efMimCZZtlNt$H8m<5ftQkT-e`!=^V_-^pcr8ul+W79dd``MTJ=0U{%q$+!OHd
z_ltsOV2LqVcQg3V^Vl~Q@P8vkjbgADpH!ngTp-3UFAB&0Q)xK~_rDjdU%>D2Dynsq
z+rpH8qUQd>XO4Yrl7&SJqb@VToyH7h%J609rQ$7cz4#7m(mr-VZtWv}ulZ@6lrCvM
z!I&>I4xd@o&6R`2mKC-(z=efIi7GJXc!7EyteoMNOy*Ap^+^Reu+hIWA%|clD$0>8
z*ueN&=mFShbm~wfe9G3{LmmDaeA1izzV*Y1doRfQagTpCJOkga@UPZ@Wy_7i?O?IQ
zyjn6JyMJc?cWv11{H6O^@SUU_UM<-CVfKHA;Yp3?YvM4yy5lV!xVC4udM`X=@ZWFp
zeww+yN#ys#*_N$F$$agu^>_y@d~T>%{s>%s+#%;Pet-N@j-j9)oVx$jzyvIL;=e1J
zFo&UDWfOc@`Jk&l>~CNBwE;fVnB7c1k8;MomOF4pn{b%{Eb=~OF&(bwPN5_7MGA#&
zZ++ohRfc&(_+pMXoe%tHG(T4xR?&?)sRvKopiLz0ofW@hkHJ&*o2JR}cr>oi$p}xs
zF&ff^V@B>!ZiO9xM9Go)>6=XhhkEdP{d?^n3Xu03$x!uv4Ko&5yd%edXan`$7}%j(
zcTxuSpicRF1D>ebqPYu>(XdTbgoEh$PjbV0@{_hoFl*~>8)o=7ht3{acy!6YgB})>
zYM-NnX+;KJQo_8tYn@-PpM@Of<_}9)4}9O{b?Yl!b58H$U-<eq_LVMpJ|g<>G<?A)
z{Ml>RQ`y2`5>C2SoLK^YX3n$w0L%TydbSL{`ErNj5N!PFzpfN`p~Ky`2bKuloOTQ5
zJ4F%D3G;PltOUZ&L6-4tu-3N4XIJ6ONt)zFczaBUDB1s|S@vu}HJonM|Hm25@Dwj1
z>#^fhmgWX<%-8gKvR>1)|4+aO?q%#hdmrAqT*yfFpSi+$EGQFx`)GDh4c=?0bS)je
zHsGd0_OFQ#ew>m7cMFu#io#EBG~6cZ$=D0K{=ffC@0TMbWWDKq)JAR_+E1jET3mx^
zSBwQVz+9mR-2LHkspu(6_}$%#9X@bOi~ryZ_R~4SuOW2-wlgWtnS+@MI!4@J@%G#C
zA7Qb2o0&5(ZB^T;Pw=ObnY*^|+QxFNw{Y>P*b1_q{$kL_+zVINtv@n>vlyf=J%QO1
z@?Pk|XFeLL*1-wBCwz{=J7na<is6)TiWoI`gOmRJ1Ne$;{r-dSe5&LG*}q75pSvDe
z@6+#Ae{h%d&*wkB51uZKV+w;?UJN_zf!De+hRA+N%B+uBgyE@G@AgYDeW$kw4}8!!
zFyS&>A!91W35x_a{;`5*S$GdI!?z-v>TO_kUG^iJVXoR$eogp?@i%j7_^I*Y53=9Y
zC95T?b;LI&$|VdWV858&iwkh`kN_vyPwSoIy7w%6*TMJ-8@#7(BAUcQUhY)W<bYF}
zRVOE4?Yu7DdF=N!(Id4y3_s<4_-z6HE>&gL3ujyHZ|Q|um&?zR_>9kOjvM{(>oUuZ
zXYl*jB*%wvt*q1gdRR2}tQ6T_>`)2v3UF|l;?)@VbYM(w32dE5rxOd$boscZ!c`1?
z&1^91%3jlZ@X|5nf2^>@vRCCTSen_fXBPXNo!95MmkFx}WYW#RF<abL(%{C^v*TTG
zXZZSL7M!)Pm!lKr*+Ts@10H)J;$I2Vt6m?>g>N_5l$XPT8T%ti|4|d#yO}TxXSHV`
z>_4RZ?k=pjb?ZwK|Jpbfuag3wb&hyM;$KO7TCOI;-z|o>kpJh=ZT5xhuw#<JzlX5w
zeNFLb_()imVHG?Znw~@Ui__)_6lsNrd44el!md|d1UAEaWRHYjg6Bu1U0=ZIjV@0;
z;p<8PO&xHETB9`Cug=wXtoSuNmoV<^0$+N!o0`POE(9umI1QKl4*%5$e@QgmZUY<2
zZom5$&KswuB>U$LrMpIv^D7v^r%3kC%geg{<sDqs?$0a=$4k9=^B$JIm7=v9o_}*J
zoV5Su)JR>$etvyBIMQFiH?)Op*WvA#E-sSz9b2D=(g@6ZS!WA5|7-2K)E{6a?fYk*
z!lSNt{rcdC$FBL3<MAilQ)2*LY1Y|Y4kvGA-PaCxp4_WKj{kJT#8L<RV?8;U9RD&m
z>5F84Lit;l3(56ym}yms>`!P|V`@&$ZyEP3k#czc)4_AeaOw`LnF@IC*}Xdw;2U&*
zN3w`TIrl}uosLxnWWPkS?JQ$qu#wEsWU`-PnbXF<0r0<{l-9{GM|IM&4;(V~zR?d(
zm5gV)2v>{6M_+++4*g8kh3Umisv5B$Ws*ithza?7--_?`@FDj{@jCF&!98WyVJSZo
z|KsrFkH{}kutq?1ls0U4W}(Owej3N@WeA^AGW%!(>$tjxXu?x3o)(b(<zIykx#`0L
zXLgSA!k=l9c9HgnpAL!t#eSJmwZFEI_O44=_H%G|@`9Tdd~`#EGTE=))l0+70Dk-Q
zi$^!yMrZbjyuY{o^J5R-pDf9l<o&&l?hYw}(;rP1ka+m-;@6)N;Osz-L}NJrw>Wn^
z{OO8&8hO8N-QEDQpXl_4<ZGtzp`TJ!WPkK_i=WX(FtvI=n+3ddXXB-lu>9eDdMDxk
zadhADTz!8Wz)7;RLlRlpWVGyTDSH(%8b($|*(=G)Xd)vrqwK!OEM+7~$jFEWA<7p0
zUibIs^YOl)>z;AXJ?DKsKKHWm`9Pw+LKFI*DHESJ^0;UPUzwHorU-94^thVCa?-up
z#QTAN^YoaXgXd?3Lx}g^rVd`BAdbJqd*6i-CjDx&=m4K}`}v4?KkwpJ^BR$#cWb}3
za|Q1srg>BR<swYwHF10iwj5GVCXVN&J$;aPpE2Wa!9W*ySTn<V0$$>65Ostl{!r@@
z?<2R4zRybJ?<pEBLW%b&PYj5+UWV@kw_dJ?Y2&w_dc(Je8FK1irS;o3M1MK;G$?_1
z|Fh!OS#3Yq_u=c-0{CFm!m1B^He9CsK1?(8Y=Y>2<)r>U?!y0tsU;En0ks?7K3<3K
z@oo5r!)i35G{pO_8K>h!LSSdM2dkd&+Td}PC|IawP}~DPUH|rF1QGwFx%V7wxaC<A
z3)|D&Fd*I!zPtJuc?@jU_u{n)+}bxdPuwpfZ`b}B!B_e&X550E`YukZ!nW$$QTJeJ
zn=Eep7?_HA?8`CYetY|H;O-Haa>%ruxE}>(=-$e~$}69*5##gnaNvLZ@QFK@?1}OA
zVQuL=FC6D2QcK*=-L5~*?}cr?Kg}WTcLqj|G<JBs&V7^EkFb?AWMqIJar~MpfmQDZ
zYwd<l8oJ#ng0E@+lG##2|K6SoBK9LnRrfk?!Xb7!eWmcdk4EFa;m~=O#{XciWdA*j
z@Lz+TJ<nm!#EQ5d@Kn7bNh7?*^r__=+{wLWUJvgMWIQ$sXIws~N{n|WUP`-<z^h$s
zDKBA<`<K7=!gU*d;hnHaP7LP<IPR>}P&=IR<yBHUtnL{9vImx_7<=;uzTKwE`5un5
z-mBCIpQuXNN$h8Q{(Z>19xmNUQuz_y`y$`A7(Sq?pFRSQe|d4Q2-c7yT^@p)N!Mtz
z;Rd~vqhDa%IV!a**h_v>ZUR=is!?+vUOuA2Jq_PHX!7eWtR^_``yIZ$FY!V=+_yu*
z_7|L!l$I6?H!Tc4pM#qg2N)yZ^Cc{gmf?q@<62?xQfkB6ANcLczJ_aX>5-+0P58?4
zfhAw~2Oh8+aFyseXE(U%(OX_(|3&hbZPsP@49(sT+lWiNAC5Z<t9(+e+l9Eiz;KHt
zTxjy0i5y<;W<O>K*N{^GCFVoJ(=6`#@MutpF%6ve&*-ZrypN_+ff;rhJ;|v7lSf^?
zL(Het&&4Duz`je@gNXUow;iExj>AG8{C#Y2&wPWTG~8W(q=6egV_xPZ1wT~xcHIZ3
z=SbRe!_i-Y&G_NB>D>3Y;3spOPkCY9Z5vuvc+};<eGyo>{^SW}c*OU`ybzpqGxk4f
z*rM;nfD~Lr>oZRYfAwFuArAMkEf1}p!1GV|hdZ&qbYFagVFk8-75YX7wsqYXH3w%I
zdzH$=tlA{?KVgA+D$3*Vx8Eu<lW>Fe>H;x;O-VlBGy#Y5@@5h9*9TTPrtjf`FT0{O
z;oY~wV&B2Dv}xn&@bQus(${cEiGMpWKQ7HlKk^E09iTmM68<4RR#HdU;yaZwY&%^&
zSpzdiT(vWVACInCmccis^mK{&_rY^r3D01<cIS0dc(vXzFauT!IP%3BHhj-l{tyn9
zYdvNKPaeA{bO)Adi{mBc_qvR7Hpy^YIJ>_+JpT3S$7r~DdC1-wwhC9Hz6r-}{9?QW
zf68oM@r55Z6mGb|N8crj`M~T{GDfa2D_ei|W%y;u_v1crGWEkx&hVu*w`4EayJ76K
zJzN;HKY&=DFkH>PZVL<Lh=>sD6Ha3hPkq?SuZJlVew03wcM3K$F>?-v+gc^KG++&y
zH6vpEbFJ^Eks5r~@E<9${@G6PR+fg{EFa9oz&Y}gK2mVetGy?pVX{wNKM%t0B~L|?
z-~lDk1A_1dyJUC*d|1=tJ{Ro!rQZ2ItaydLixb|d`-0;REVKNyh8k`^e`3c&7(Z0`
zixU25+hmyvzn93nKmuD^sh-G&S;|e)wpDSwMSTjf-phTE%D4jWlRFkptOpNHXlO0L
zcN-)Q<-)$aA7mzB)7eKHB{0>NztaTl<j3hrtS4WZH;;XSNp414R=^KeFR~86H(5!`
z%3$OAlGu0f=1%978rYlHp!qHQq0~&f8m8hMEvbV)Emli4!0H^qlQpnGL-trL%qL3w
zz5w1Z*m%<dhgTMo=fipb+_;<Jz}1C-3|P&pnW7z*){HHC2#4~@o_hleEqyq62WGw+
zrqvD0Q94^E!;u%yuXMskKCSD7!IQLwqrI?u@U4&#nEMpRVPZWVkk!BJ3x|KS*iWq2
z*=QX_ec;{S4tMp#O0U+~&cmjSu2rKjeM{6Sd-zG>Fzshp#Nz!+OPKs5-SQM{$7!{0
z4%2Y?=@I*rp8Im$_2HoZa%F$QY`NmOr{I@!{*y%hK#8*{NdZ<K&glFF3mn#ba~!^*
zM9DW##GfQ6O2Y@~4$=_&l_{}IUQ#gSh1HthaL07+Ic~Tsk}i7#zG5YKmkW0D_g-Iv
zqcl8dSYgM&$O#hUJBotlRG8sCs|JZ%i1)t?6W;+Fp0vD1j=1ivzxE{Xg`WCuGT82?
z=HRLd=0m%hpVPn=0S&uX;KavK7b#)yLgURT*ikI}Gy~kx*(Nm!Q>#zq?uOq#WX>Og
zrAh|l_rPV>BS${LEN*EE%!E@p+uy+D!Z-Pe{0)A#ZMzkwr`73YgI5&}{H%lz?-j4(
zhI4do@l?PkOyZdK!w>Ec-YbINtGR3lz@tuTZwug|;5I{k_yupmi7dEBKl_*%oL;+p
zH3J@x-AWXJ9Y$5>@4{M2AFfHmWAeFtci?jYqVJ{P<c`IZSXiEZ^Er_(ES)p#j)omh
z8POkswZCU*gu&G<`&N};n)jRjA@DNkmD5DNF;P}$(HCyv-sB?kb4O#=&U(S_J-R+b
zJ}*#E>w`1=(~rv97`}8ng~ADL5;Lzfgm0(*2(pDcnpPJRVWUfn2aVvR@YkuyFx7fm
z*%>%DI^<Y691yB-!x(1WWAlZ`CkF*i(p$mJX8)DFgdc2j_*=k+iJ50w;mXYhGCO!?
zDwpvy%(Z_Z`z$PeCZ(3xUo<dH7CR6B)_Lej>=$;vf7odQPj95{U4yrk6ihF{l*zxR
zDUfe>4;F89fF%|-lBwX-g%0h@@Fxc&dk#3wuc+J+mUefb;e;!GX()KYhUXam5c`7>
zBNCqO@VRKghx~9PU;D;Yc;ISZgcvNNP$EgxXGYV4m;}scqFECRyOca)ISl7N5SR~y
z7g$>AkHA4;^;aX|-6TG_#D3wx;{D<X*z!i|X;t|46N$rdaErVCVPb!xQER753@oFY
zcT*4kwILCl275NydJy}CJ<HqWDR2%;GKU$g{wrA_8|IHbO=<)GX0`Do`rDm<FO2Qr
zAnl0jW$-tW5P2uKuS>h;87#^7V#*o*wQK0ae{el-=v!j{kmA48tJQF{+%9fkc)+PP
zhPXezHFxg{hU5Kw8j1VEtDL=**gsVIO{Vh>CRd!gPwXESiq{6cg>UOgt46~jSG6em
zV3WRoLd5=|{^*)~FZ`X%_(L+BvUa_782%W;Tbl~I#U9!igrllI(q_Oh|1{}-!XBrB
zMoM6|;Y8o>@X^7s$Y*fLB@U7Wc#2WDcm>W8Wg8rW7sK;*5c`4KeRuT-U<(C7Pk!ug
zIVv8DA+GP=w}dym@Nv@@B(Gq<)n~!SVOhqZ^afaF%|J*24oxySNR+=W-F3_u-j#Rq
zRWlqmv^Uxm*0y?isspA@4!5`fSDP7CzlL1{kM6hxOE9!4cf)@1bJK2cKozBT7tDOW
z;I;?ss~ogN)K7Enxqxf16+_LTk8sL6ZUKLI*jcP@1pYSki8dTQbIIWsF`kj~WmHGN
z7Ri0ri1F@+m}N#Re5sbAWCA{Uhfg~m{!(@A@C@9ZHZFM=zCo4e`~zk>9v1Nc)=-WN
zT8Hm+skvmq%!|ck#CUss=U&!q*j$uTo*0ks+#UT}2p3T*xo;yr^|L1L34EUU$=WW&
zL;OQ;Rlo}S+QrD>!wa@Yt6=+8*=jo2EKr!I9&Q#rJwpTEKeFQ01UK^VZS8~K_a~~o
zhi@opUf_Voi$dpm;Mtg`^9NvGN&UV-;&{~>ULKg7Pd#K9zG=f#ECkc%vRs;kdsGC+
z1!2Dbb~Ap3H^t+eB;j3x<>O26xf3xxqVR$5l`$)@i}d^%SvX(Z^31M4<l7U5T8QUc
z_rvo$DPi|;1-)bN9x+v~BQQPp!w3m@e}n_qF}QGajrIs!vf~iBDlD$pts(~>=At>P
z40E0IdM*Z=N1tOdhqoS&8y$qlqoo{8VY`|e?fYR{*=I*Cz{;*nhdAMjh5qpla9nLo
zJ`;R-kF1XieBIoCm;tu9wbkJSi!tyTQNm*_tl?pBhrsDM;(5w`pno6)UYS~T*g$)=
z7xUWW!!x3~7Z>3bR&UBe_&>*ozliqVtf9(pgCEST)&GXC&p8`*z!^zeTAOgCR|U@y
zOipk0l;|J(O}RRU;cHa|M~MDm@V2FV5@y~f=0fz33tfk-zrqiauPzb&;|E`e*fN~<
z%;PK>JpEy%e+3Q{s+}VGgW8Mf_}xLsFCC^2A&z&?cRk7g8%~*0(!)bhH55EBeI%bd
zar`!qX88fQSJrWjm`@~qI_z`|E~5-g-VINcbTiAtE3@^SZ1B^?7ac~hFvpWBMp%Z-
z-p2$UJ~X4W7fxIH$?Of+e4L>n&KLMTtHB3eHWs`~w1<jsxKBLHw69iT53GMnjVA$4
z=>GkjXuocfhK8rG^@+gi#NU&eyya91i&>S?5&iXo<Go)4uxji!EfGJM<DWVRpH-B+
zN6epON-y(}2IK!9YMJj6=T}ub-?;;pAXnK>#0ws|{nCL|Z&Ups%4f@9uC5Iy-I%f=
z>WkgLyzDA`PU=De(O!aEqPu)y`Mc`7{=ol~;$FnVc54P1bFlYEbH+G$;=DBLS2!j9
z_1bNC_u`-yF`gJ4Ogxng3$)iY5aZ3YH+K87;Zsf|{KR;gJ|N(k1@8=)OeMzu2<92(
zQds#R2T3O^l3H-*Dg5yJmTwEp(7iLT8WwwTyRZq~bEf%yC49i^8V~XO=~{Hnd<9EB
zPKhMuTV8+oms;TWcS8O?fwjzhhC5*MMQX_+*xE`&svV9!wV3+|-qdg0{siaV+M>>Y
zyWhGQ55Q6UU&Dy`Rl0S>@iCZ(>SE<>cyZJ=;WK=X`m`u9zZ%ld^8E@wsP42T=2z8y
zCp#zMV!q0cp>TuXjq;!Hp8FCM#Qf@DnIy#w+~Up_Ow0##!XEUk!`-8#lULx!;R+&a
zu-M{HOJ}%+)P<2G1oPe5vvI`yqmF{^;x^)MoHfaa`PI%#hfnQ7d|JFh&IW$u+5c!K
z?8BB(YzlLhZQP`VnX)OyjA8qx2cN0o!>hkdPr{7j&tEaY#yXZabzsURV-7}mH?_t;
z6?pNFD+veul&|2BGMqt6Y03tZ7~Cm148NS+r@###JhU_<3yV`%C33+u?c;`G@ZFAA
zR|ViEPsQsZaP#b$w|uaIkI3c$*ggJ2g(w{GHA0*RK3};`Ap*yncs^!>t>ymBAA)V-
z-t@D=Ja$QHQZU)2s#A2ZV@s0AQP}AsWhf0iSXI$03!5iSxo#+9{^b0mRsr@Akjq+w
zn-9s;%fq$ad~6G_$!qbI6Y!ND51n~<I=N0)71oVA*Yp+sOi_492hJ`n{5=Vu9hAMH
z1=9^Ya2kdyB)DAlVak_dX@f8~d4BULn98)9sR#aYJf^@DE}&%A=!RAIFl`ybM|P3D
zcnx0>TbMixM}(=(zk)kyeUF}j^JZi&ynsE(^ttWfOmWZqwQ$>y4_>yg(GL6F<?vKv
z-Wf-Di}s;PDSV<x=-EYB`BeP#e0bPy^{yNIi2K!aF05gAb>=ec-C1Ru4qHvD^mxPZ
z7p9Zb;K9!g0$%V^;4sx~*vBk_HUNG-N~4ejQyToU^@Cs7ZI|DK#S0s>!eISa(XTh)
z@%*C?L*PEY{Z_$n^2G1(C|JZr`&J<A^woJF5>{xHC-;Vn|8Y0O!<NDJN3Osnl=qn8
z;0-mir%vz<GR^hd@c1jg@k{V?#@bWKF#U?F`8im0?!0U&+@f?V+8RzK8MyfX4jT?9
zF@<wq1iELz<g=O5#;{J`?8^+;aOqB=F1+m-Uz7(IynQ;X4NoO(Za;>@RUR9uz^Zij
zzZSz~<F(h7U=Jy><4<6=rqWG0_}Z-$o(h;x=#{uEyj)G@QwFno)jk%5nX~y%G{dQH
z`zeLsxf9X%8etv7cOl&HuJ_DAZ{W@o17%#WvafGXD@-oaEyM~lOl>~zg5736o?(Vd
z6Rc?8!m`?3J=Cz`=*aJ0IIg{$j0)CHkk|SEk0rMGlfd^Hs>O$3zM(h8+e%o!`Y?xo
zf=TF_`BvbAk<pIhu>Agd(<PWob?U_^ob{sm?N1ml^~?DN_uPH9Jq^45DOsI@TQduN
zCSdkfj?r28mr7>-7)&4MA^j7+T%EFi0FGB0VE+RrbH^F<5pfzZ*F`v$B<jsu*ghlP
zcpZLu$alR1_VF0cUxkf=Jw00BoGFD{|KQ-O*4a(4-i!DzTg2xjEjj*!&oX{(BM-&?
z*@EiHYB+OVhHEG6#-h|x0`s-?Pcy@<Jmi8!u<?E#B_>!Tct`ppxHH>@e=n@xKK?Ef
zF5E7^#tthdk80e9>CUg)@WB4LHCOM#8Ldhc`(dP^=i}gs#>Nl{_*#sEQ8XNt`ma|E
zu3WQk4<+J<ys{Kvd2tf)Ah;y5Wa&7p(ns>x8|HGF7&-wzknQNZ0@t)~NUFku+MRmN
zFmH{|rUA^HWL$a?CXFl5*N0t4O%K|@+ZpfW%wftl7E3F*=_+ZADLfs@_TCt7bm8}~
zhO4A|NsVA9UE^10;RELV*L2{W_VI}>FuR7@hz87ATRr6j8|G*kE5Z|Qlcj!e5o=!c
zG5DGa1^G3&y5x!YA=oKduqO(>{&+J{9KQWoUEl_M!FLCx0Q~f=+2UQeeo@Wk034j;
zu5kzU+B*4#9d73GW_%1gZ3Szv!a7z_7qa1v6E|Pb!qt(%hsxocH^tmkFr`vlWGPIq
z_52<QoUzl_un7(^=vx1)i2caJ!MP1^C)J?G5*(9y#`7J_`e3|w0WQ$AZhZ@@#m?#e
zfaA2pl15<vjBh1V@KaaeuS0NR=Mw)2{3*Eo-fx&P|8z}1+?!lKvjE$V*hsyD2M5$2
zQikFC!E^UswZZQPB^P$V0iuQS_>z%If>Fk!{qTOT#_n3U;6&*1KA5wnSF;?J*JfxI
zgA3~Y3!lQz%V$|c;YW&zJb7@MuEgsTa1WV#Wftt4L%LTLmWsO}`T%Zq6X~>o#iG?3
zlVRTKrTymcI*0Y)7<fU;Y~~{T=6>6Q8}KR>r_u%Zp8X_!Fx-69oyrH^e^KR%KOE^J
zVeJJkJ6lbA!aAxxLJ_d$Qqf5_`16`XU>GbQ)7EkU?x@)zo&ujz<u$W~4Q(qz@52>0
zRlCgL%PJ!$^I>Zy7fBO%!7eH@7aq7Bn|BiaJDTlW1t;X>QEJ1t0<;?{;C<)XLX=@O
z&0)7r`0SBBrsME|4_8~-;jqoM=tFR3_u`can2L64pBVg8H}dru{NWST9X^;L;G6F%
zJba*6a6i28)uUq>Hd@_CXNC1IoVrUMj`D23{Kp7qoc!>E3~r&D^QD4Sk2(kQ!Rw4h
z$9KSG;a_?Vz~9$`%GMPye(SD>9fRM@PN*%xUe_J_j=+H<^mRYsnV^f2`tU0%qf_5t
zzk;`)PQfR4gunU>KV#f<b%iVX^rQOW-&rQjE^t|H_;we(Rdm)Y7H&Ml-256A&nzg6
zhEMI#IobfH>)cc-gac9@ZdAj6vfGmK;e7T!&!=$E5mVJh_{d)uvO+jBEbdM{>~uZP
zKMQu!B2n*y^RhW<)8K$`iTl0qgp5T*GVI_Nt@#tCihsfq569#_O__#G4$j10hi!~U
z9M<8LshZhPc=zAU>Qy+qX5HZ$oVZ)$B7Fqb+bOKeSK#CVl^QzO;;Q*&XZSxyg9t7d
zuc_<02z!Ru^>f1C3^mkkV8asoNE!HWjc}g@oKofd=@6Vg<fdl;|BSNAR)u-8mx}e^
zJ#^=mmEpCm<NWIIUNf1;=CJkL_ev$0xl3%-6m~a~5<3i^)_xb`16vJD%u2u<f_0z0
z;3yXH^MbIdWk7xe{M5w#6)&t<X}=K$o4>7--wQwfsxTG}YgY`ou)|B*ywW$}NB8(A
z>0yuIj?Me<$=`-*v@qR^qSN<aeuk`CGWf%c274ZCwbZbe1n$-5ad`~a>g`TmmB;=a
z^HbSM_(9G7-+y4^U*S>ZaFCw6(@(g1R_$^v{7vUd$~2t!eoy0naDetph6z|?Gwx;^
zY}C`>@fm(%b!PZAe3_c@$49s)n!f2BJbssoy%!$+GsM&dKRs@h&;dW*5xe>kZci|5
zY=hN(Omur;)vU*do8U(+1<aFh)~D<DUci6LFJGL13-|`<D&hN!3@4}I#a*uy%i()7
zAJV_WIrZ#Sh43i#mGED1wlm4seE0^fbl)6I7H?{m35V`}TeA$;k{yprhd;5$&@RER
zlM=}8!vE=&_mN%4_bup7J0!vXJ~|8SfF=7M58Z@+>{_R#hEEI!Q%AuI_n)1kgyZP@
z!-C-lPmZcHz!yi0%L3s`8gut{!`8t&g}vdP<DLO~U^2E(7FS@`&wTG#;2d75_fBv|
zWp?>Km@Sfo#1W>kH74hT?f+U_JqHIXX}lAG`}KeIpM^Oc7kGr>=cGEPjp1|d4&;a6
z`ro^Q4dL-ev=)-^Nd~87ZFn`tU*QNW)+s8W1>3(qkRS(NFuCzi2{ufM@lu5O1~uL)
zz{P!%ujOI#cUfw(@YV3!MQZTleb!#ma9j7`Emc@L=)W0Z*vsbbgbrML*K@BB++2BB
zRvVtP>q_E=4FwX}4PYDfh-NN0^SY$VX;>j}>?kYDF%Y3|2B!)oJ2Jx_$_KJdV4k=0
zW7O~ymImkZa7~4dG6j5R)3n|m{+yIwy?q?}?ZFw3oMG-R{cnHavu?6Wj_}VtPpy|=
z_TH<XJYd0n#__-5V{d6h-QkBlWjkl!c_v-@t8jmovFs06hIPcw2mak${$va$@6{8D
zggt-#q#l9kO$GxaV5yUO;k~d#CyiY!98@@2)&qN(-m8d)$34`A+u=J;U*1oGkEVRG
zcmp$^(3?qs)!rU^-vEE)Pb<%a`HRgZ>tNL*`^hulUXI$la(KK+c{&$9-=o%F3a5=U
z$v=kwE6O`n0H5PoBddfD6h13{3=7tInU%v__00Sa;Zr`*$7|t#WVek|VJ{A{`2XOX
zh}DiH*r0*ev<+_0`YC)1&YHNF{~BgJYxpP<wtSlv`wn(E^!j}S%(2ci`W7}b7t;=a
z1^?~M8-d+!)8t=;C7wjB4Z-wFSN6LTJ{{gP1AnPi3vz)I{HB?vVHvaHC3`r$rhjM+
z?#XvEJ_j3|KPtWo_Xd6HFoR`P*_U@kV*EK1Cu~d{@8YdR4pX|UX6eEOuf+fCgXu%2
zB{X2asZb40I4;F3PXVTBt$3&l`*HR*AA*Av{>*E`v?c1tgkgcnS6Yp*ym-PU9sDq~
zcDV`mzQ%Zc5B#WpeTe=B)}yY!EOx?|3|XQXVQodH30gSDJ!bPLJRYRjNd}u}|5tb%
z_V`?GOvF7-U7GZSr8{j?{~g18v6M&71Mc6m$hZpsw_*1;1m=0q@BRm_8)ZEm49}WX
zf182p(@GEBfEoVkvQER+G4>JH;oSL=xN-Q3@Y=;V__mE(-6&kmTku~Dy!?VhrXT*2
zbM#>{T(Nq~?j!s@|Jz(5JlcF<uoGsdxzh6h_IOiF(E(R+?B}}=U))j-X@-w72+!of
z&r(i~)We&Z-SW9`C-t~-6)Z2K&s_pXKe7$4fD`|wv=qWGSED_%Vb327d1Y{u5M@>t
zOwC)h`V1bVOJ{okb1euCKZhHr*fsCLN9bIGE8%&q6LOI-g>1jw3z%iJ)*%8OlfP6@
z1$WHSov?%R3z}l<;kCL*k8^PCF(!^uSSO!boD&{o>ys;hPg_6Q-UpAEuZiTq>+(hy
z$lwaaS6XRsT1eMna@e0*<tI`8vk@}_OGnWjZj6*feUbCqt}er=3VoKhU}4ocw>g;P
zUV$&sJ|eqqRDQwgVV-S7`&?R^e*O*q(5?A35N=vDjs5|9e_}Zj0J9g4lZ?Ydoy{ID
zu+TzL&Lqqp@Sw#BKAS7UIShA8Y5ui@eHCWwN8y|s0;etD=wDal`r+EREoTE*??T(I
zPw?Qsi5I8gn6IaTyWzu|b%UC4MO21<5BwlDS5yP$?&E#a1}g=IX)D5IIc^U+U@sTj
z*<-M-k9SlJTr{LgB@MGYs<o(tg~TLEB;X$!^;$*nJO^usAUykSi@g{=O1``409@o6
z7?KRX-q;%9fL~v)Hn;<)R?_#fz?E{6&;8+VWt0oF@Y0a|%|MuW$z@~*ygsgOssjhz
zxwgK6`|)p{yWmOqLZ9%r1(>8q=?@#6$*xN_4X-}8eZ>Lmn1y}*2tPFHw5~XU{H|xm
z##{Jk=$J$moa<!pqXmAq;J+CLzheL0(E;B|cM%DNO&bj^67epfq!3fMQ({b;h(8?(
zduj}4eW_7yh3zfcS&qYM{0h8Xu&&R4YDZzd!t36huwkA+og^Ifj?}ytK6Hz5MjV#3
z(Jt(Pb45bz1mH85nqmjx(9f3=`QUC+^3eg<=4&4XC;V#uYSS2e%%Scu2TXUTmT43Y
z>lc2?0MlpR8JL4*&(F}%!7=SU!n5!q<C%z^aN5jK+9mk?0lD%W@WwuGo8R!t@m%4J
z!#JPkU2<yFcXcCA^%5+Q{>GdVcKMPlJ_~=1^V`P`yYCf>{Q+N+&vV-YXJ1Xj51wH^
zvO1NO=nrgZW4DIjHJgS@V(=GI(_J6nB1a=J1vu?=tHV3^zuO+c#Q6B@m;7)mysWr-
zLKoiCnSQhdF8)b>R~uf*V=b+Ly$(lP68$}w!HKRK{&w-<6Em3p;Fs$q@DU?QkBjgb
z?t@<nVL$RcE$3llk4Kh|V0l)}$Cu%TDy5s5a8s}0iZd*9rRLu~IQU>*tv{TbFl}`k
zUT`d?^@B5RT=*CR&lkU+4}~ji)^<e0mFpi>i1C`e+1o!9Ua4XvPk^_{5(fg|*O3h7
z@$g0#oxV3ryDfC=F5FFXFX#%aIw%l(8$Qg!vg`!M$Q^Sf#veP~6h22-bf0Wv3K4H$
zOFIX%Q0Yey<Ee8!+uB+9#})Oye0ad+zPm9TOQ!dn7*D^;GG!RTBiEFvp2E$ilUa4(
zTXU*EiSbf;l1g0*ws(_JB*s@S$Cx@L_~08UZeo1ZZQGt!fUg_#c-F#O|ApAe!nTR*
z#x1b?)Ix$ZtS7W9w+S{^xk4cVtLd!YXoJa)jLQkZr2HR5T48<rNq#nXJ?jN+7ku~6
zX=7HnXENWW6Moh5zJnJ2qaLr)3x{zZTc?IE-}X)Jf!WT~dF+7eKACwB!Y9LdGD+ai
z(n_xfU|pe{J!^7UKU#4VjKOQ1<QglmM9cR2XZW1>%@=d<x9*R_U*VY9Z!<q(XVw42
zr(jDbXZuMwDam5-4@?oj)i?%s-8iiF8@?i)eRu#?ZYL4gfS0eYobQ8GI!1ig;LiMj
zk+<;j!XpckD9lG&-%@wNEn5La+laH77=^dMD<K=MyAdzpn;C6@a~QfCY2lbz53_1`
zOhzSQA55aRQC<#*Yt#4bg~Rp3MT+3)rRHj0n7qB&q5x)LO`tpg|2(4mJ`>)2^rKS>
zzSGbk_7HxcS;{2|A8^!ud>fAU{yVM&j|4v@NrX?QH%KeOtPaPnMZpG_x0dzb4XUJ%
z5wH$Nt=38Svk;eF0K8JT=bbY=b~AIQH(cHMn%fE94wVRWf#sIi#0p>)M!#7r_{imw
zpgj05_wMs1aPnA@N;Mp*ywPX?fAQV->p8qH*+JV9j^K_n8-r=@e-|g>yA~P9C*bL8
zdes(iw)3vG1(-)<i_sLmGIrbdH>^ixn`#Y{_3z-MzKQ%<OdB6@e2dS+b{cr#zEH6(
zyxc|M#s?3@I?J7fa~_oJ6M(Z{zo~bCDU4W~6<{9mNlhC#SL=<t68!M4V)sS3(@vDd
z48H3oZD9vngip7a!(}^T#+~4ge|0Xo!@LF-PUm3*ZI(Tr@LT4R#mn%!6JOF2VFBu)
z{0nf4$_w3OxIt7@$_>`)`&m{4zuFneOvHuh25sx$jLM!gS9t24W#J6Wnz6Uo9zH5<
zzVQQY?fk%Z2IdR<7(yA1?^8Ud88m{!$i7NY!~0Ge*b(Jb-unCD0DReL_cT#|Hbora
ze6YTVfhSSk7uR~#Wnju<HJ!xyl-k$+$ilZ)){Kez`D$EItquoS7(6`(ztftypb4ii
z-8$?Dr{8)gWCs8DrZ<r&{~v+g0dx3bFg*ux{cnU4QZK>9H`Kg{`nu)tPR9uzKNhs<
z30Iv@Elq^Y$*V?)^GQbPkS4&Lwjm}&`*kU&f4K)A)(;8$|Mj}+%G`x5_UNt?<<X!`
zVM&Ljdo%@!{#L4`ejyFsCS%Gt2@7?^Yv#b3u{51JFf;QJyc!JkFFbHU6%O_bxK;=U
z1a-M9!xD9!9C>iA_=R&4uxT*GW(l0mWf><1m+drvSOk9=SqR{S^Y~+e%3(IAF9jU%
zrOI%3;&}g?8Vn>bYf+&=75qF@PH|fn&j)v-+fU)bz4rS?;G>mJ-qmo?X+xbM*g5qb
z1rg^rRL^<_59EFLL43Y2QKqW|PIf;PNSr@qh=)G{Hdj}&CgQ0A42EIwB3IP)$FNCg
z-?k{s$zgn<7(Vm0O;iMaDRf|+sE^0XS>gX=i2Ub8_J^=&c%dmN;zv28Wp2O;P43Rg
zh}Z3SY!nQ~H#jNYflKc0KI#p#`Sj4(!S}95u?NBfCL>4B!EEQ{tbE{!TW{DD;h@JE
z3PG?yQIEPj?6Uik<TW_Wk)-$lOnUGYeJI@Vi*k?~{-RoDOZ>fv!!Hfk;3vvds>JnN
zj%f>Gg;ND4zJ$XeF^aA`VTo|5moe~5f0fi7@QG8LEYa|O*-gd`X<Sdjg(aeY2`p|X
zt-+yvNAJbM9{nB?-(f{xf8V?CFkZ6s6;55We{&mtcUHJ}1kSyhnNRd5(r`YKVYqI;
zo6ZB+PcQXXJKRo|Eu01KrBB}1250?p?<DGT?mH#zbGSt&?FrEy+nU=)t6=G~h8dZ#
zHH}nO8mx59BRC%p?&s@Dfo;F#r6$1#{zgrRz-LmbYKiiA<waMD!S7hV-S&s={tZu$
z9m4%N!&G?%7Crmn#RRN$hgZrLUNpCuh=4EO^ER-6Q(mi9M#7UnIxFP~8(hs>lEQp!
zr_voYIIkeB_c#2qF<69%+X?myx50Oxe5NAetkD~0uVDedye&m|L+D3+G3=<aKB58N
zSf&111XuLPOAzD5_RVMZ*~I5VqUrSDWd81iEcm_=ZK*cwQNtdR06(-dOfY~07v+lM
zVT+uk@ze15(hy%HOqbHrNQ^J5>q`a^Fz+-yqbcm~nA+wK_q5bKy$sI}e9-rS?e;AG
zbB3J_{NG%L-<9!=5%u$LCUVIcE}mSBC;Bf-&gVccSTn1Z`VQ><-?$WU{A-KRv&pcS
zQe1%p{EC4}J{6Ykis-Y03qSvu{(pbCHegMhk1L9`ow%P)$aTax!UM9>d$Zv=%d0zV
z;qtB5_nP5(AFgT(cwKnldn0i^?=Eozc#eiKuN#hHj)~HPZ#8qScEO%{^8eJ}Kib+=
zpW&9UX$uvY^yaBuBe2PG+WRALU*+XjKjHEwc@bIIKIk&*3_S1l>yaoNCFQ%c2zT++
zz7vK=DZDinV2R^yng`(4N7wk*VCxz=FK+l}l()|c{9SQoW)CdC>?yM=2Iv3irp^pg
zU2wd<6aIdi{{=Pdd(_T>7LI!|@q-c;cy3xrO~m`|+mgWNJauj}!85gn@!OK<4?I$G
z^l(^ML*N`7p}@()278kE7XF0CDu;DxU>DlUzn;OK3RIWL;Fq7Dwv@q|*W{O$aeXfg
z6hd9$zP7~=Td>#WzhW0yjFrM?1O7{G_wWq7`KHo%2R@%;#M^EG@6~E}OaiMh_o^7c
zoD&x#C}At1B-hjM33s=TM0puZPJGpX-+Zn}+5?NQRVtl;tt~55*kNxy(l@&B=dksy
zgM=OJc(h>7G}01bSTnV_Kp$4`&y76<SN56qoq{bWD~`*+@x7VWX7HuATdOBvt=y?<
zBUlRG8&`)PWQr-Dg=qz9BlX}fa&0b_a5Y_@>}go+@9rf#nADa3w>2CaarBf8?Dj|N
z(K%RIGpO$(+}pkoatSs$LbKxnEbhc1=>)H}o{k~v&rIqSohN+d>p(S8e>p!EUtED{
zRrV@-!(RGnN0MPn7v{yw@Y{%UHxpqA{g004Vf~9cE<J$npVzr-4;K{WpS%SNo$Yjx
zggd7=TyMb4j)q4L!CoA6MuD*FxhC>$3G~0=WG`=cG){5wAKYeYJ7)*amP>6vf-A-=
zI*IGe^mrkX1z%(_vnAqb!>7W0;7;#*N<^GLcd*0@rb)PX=scX{yvcF~=6{z;e;FRn
zid40L^=bpk9O09^i&9!}u2p`52RyWV%~}J#n-F!#6+V7_N>3J6x?4o=15+(K`ANeP
zH&blA;FTrrMPc}k&vT^!_@+!Ymk{i>`}X)%xbN|9IyPA4TtPz!TpfDr7%RL>Il`7G
z|Md2T&`#L&PlD2QnB&?t(;YC=Ugz;pSd8qe`l2|V=ZD-HZo*X@ww}LWy%Y{(B5sj0
z`{osVZ_h!WYw+O^*R<F0E|>kUePN*^2bde+XP?A>xWOZ;>E9Y*J`Is$MEROq^=+QR
zn|G6YcEjG3qncfC)QU?e15BkP*WCy2>^&hejr+;ykN2-pIO!1WAThpp^mJeS4zp7C
zEA_&STXu`H@P7Aub06WGUmN_E;a$!ShgxCXc{-kTxZiUB_-ojb;c@{f%6ot7Gv9Og
zNonzEa(M5x+aLae*J)`7=-`T18heQO**kTmAV#>qefd=pY&D!gz89_<aTXz-*M14_
zg1O<z?~H@Qc%CA8h=OR3N{1IY7vR6D!s|r)wR(vxJHYF$%^o7KGj+vL6Zn@``W^{*
z-|C}b;(6r7*g?((yUjaq5zi|Yt<q2X;VYUyPHVwGB{dB8!1EFn9?G!G9YH>J_;7X&
zvjS|IdWwkxb|s0ClZCI?2!Ex7b2*u#q~XYbIx7-*x69W85je&zS(0e~Tj$C24#G<#
z75j<yuM!@1<%SC+BNu<eixeJ>T=0%C7N;55s6l6f70%l+Ay3qQiDJlgCiuzVUy)(B
z+sP)68m6s#xitb$Q2$#c)(f>N20kBQO`&lPQkc<@NxL6rorrY#hxLVEPI@EJADVtS
z#;?NHzMM(!hDrFFq?X`ab#7rq|MDs*Fq$QfKO<<;1UpO9tq|*z+8syKp24|dn`{$s
zCFwM489ZQA;WP#xU2u;tfX^%C#16oR_jB16!Ca@fB|pOTl0y0^u<uhA!?$o=efNPh
z`1id}*&T4vxN%A{{CK+iRSTSxzT$ERE}DL@ry1TC?>89>*NP_}CDvDher(n8u)2nA
z%yamFT#9%kT<w3h_!+EXAWaelHxx>2m%vq@%C82)58jLN<iQKPTDqZd%EITD*>HfP
z#xZwTFMj-MD*PYQM;cF9KDhBn3f$9e7~u$8)4sAyg2f7lO`YKimVze<aF?`2mmREq
z=V@0Id|Li<rUSfPai9AJ?3ZN0b{3`)$Wjf4`P)BDTfzIRZru)qM}8XFnZUUX530Q3
zXGZU2%wTG|I0`R#RaNWBDVWLbfv^kVf%+hQ_|5CY04Mn4ZMkJl*pxOi-45Ping2!`
zHi~}u>m2Mq!KJJMJ2e$ETEL(BVi-@rg(lA&i1qMy5t8U*Femeed`(!#<E^+N{O`o)
zb#-{9MLAa%KHu?+QxV=`&b)dU4q+s5lZSO>7=MYw!7(g}GH^_VOS2^0@k98_AviR1
z<mf@z$yjBl2)un-nnoBNZ98Ko1gBAChx5P%^U<m7u;okTgZyybzv9_FaFJh01}8jJ
z+q#<`o{3!c;DT4b%-Pbxvy}EfSYU>t1G!tsC&&g*#j(RrT#Z&Y;jQh{I~m|KKUa<=
zn94D_pAptH$#Eg_4>480Pf@{S^~2A;z}KcMf78O;GJAIr`HK$8W~ZI-a>5b*LAYdj
zPJS26#ueZ@0KcX)sn`-j|8z-x&<$_z2#ov(f1;n9>4HCfAOE`o%WU&WHo#Jne2+HZ
zGDV-T7w`(>4ffx#$LD)FmGGYPSu=m&ahbX0a=4Irhy71Dq?LjF2`qe<O?D0*lD_O*
z2*)vAdol$(<X1gSfg?Qc>i>YLOF2j%z~evvydHzMl9l-qVe5{~2NQ63d4bO@_%5R*
z!yr7|zETqm-xEDsIRa;0cccx1KY3J(euU|35+!_Ko8r=~J~%&yBFqcE-azfs1@9?4
zl;Z+l6(-T@hW%4YmWljQ2&HAiYk00~kj);R$ks`0`~UH0oNeI`ryo%?!O3+u<1FAj
z_V~eOIG|_um>C?JG-*%+?|i33st<R>bnw=}`5W!Vr{LuG+^OZT>hz|M25h=cdbtu#
z5sPb6gBfVeCZE9CbWJnzu<m)8suKA0B~!)Y@T%Gkv0Rw#c<ec8xUAD=I}dIx5-2C~
zapu=beKO!;ck7QraH8aOtt>c(A;V7q4sGB+oB;nhIh@7?NA>@vNP^h|!{#~RkN>HL
z+=TNAn;2MN2ND{?7}$Ej#eoT~cxKTS2Jc}giKK?#338=Iz^|<6MJZsBx~iL3VDdkv
zr~V-y$$#7Xj5qvejW%lwmbup0;{sm_Gi_OhTSEMDTwxQv?n^}evp9q{*^2N<u9z8E
z=tq--4QzVpvE+9+t;WFU6g)AqYDnZ?X(Imd>BGG`ajV1dZoxPvC3r^eE5}DT$UtsN
z8TK+K|BuN3&XC0%WrfEy-G*MmVSJ+0Y;aVTv@@|^Xk{`dTqBD5CCkyOfsI&AEuO<9
zmJTXJ{(5SRz9Aj9O@G5h<gYiVeP`2Povrkj|G_24eh<aK`T6TvM84XH#EdE$-l5g4
zN$eNS9{;d<74|ge<tOsh2h(K)ec`z+nybY1B>whHcZCDiEKP{(eShG6rwcq(teW2r
z2Tbf%bAV%$Vy+YU>c-Dbo_6p@V~>Gu_!&jv4-5DSZ)GKsuO{gsVKaxPe&46)hb1nk
z+&T?^d(uBe<g0IO-g%)1v&Q^)WCZ@V{!vC9PF526{S&rt^h#8L2l94l5baU8Qb}<X
zo}qF1w+<^BYn+#b&9+sIi2Ss}%cx;dcvh`tnjZaO?y34kLAX&NQGv)uCkaM>=7RT(
z^{){9ujlE~vAwXOeWnhPk2XJdyo?b(Q1yvS45kgaPq!N`ZAmi|fv-A_UMGinUcX@=
z?uTk_@d;A+piQL1QJCt4kHxwO=HE<@xwPTQ#Hz|=__?f=hbDYrc3X4~R!MOcA@0}G
z4^lU$VNXq-AQO1xV!*#~_#ZVt%Vk(GyC`}XKHk`M(HW*xS|#a)cUrcoU4dQO{z>$}
z1)LuDJmA20dU<W|`y@+)P&g^jct<OIa%?mE|KnBNBfl4LaotSF4a854W#-qy*=(^N
zuEQxe=l7SxyO^!x?!cFv#{Hkd^Xsdl$?%htQonQIW%l8^RQN3=KhI;>X}9-oVmvi7
z^}e45A4rgBBl6?SPKJN(!@2Y=d-LJ6`E2I|_>5=D>Qh)*Bkn;w97rOnTLRO`jnYTL
z8N1$*)x&cEc`jk_JkJ@kI=JTX`j>04O{;*+OL+6nCx)x=+4*OY&BW)0#BRF5TYmD&
zJ+NB#*rYS8DbbWfJa5e1WY5~efvll!#Pi5#jWXI6zW!-Pb07Rf!iK~GelhLq{}sMG
z^7pI>EOB({?IhfF(zy2|EMs3#_!GYG&PA#V`!@3ZorV>4ysxRkXU#&Z*5MZ-+r5e~
zpYjUD8hlaF?4%q_UYs%Y59Zxu^^<|0<uD!DhMBIpEr`H-H>;R;;dyOGCc0l3E+!Sa
zxD&oV6LFUZcKu_|%>pZ?{a)AyKaK46WP*e1^c-1WDxOQH_rjmYx9>8+s?9xF#C*ZQ
z#gdL1o;$j1Nz5nI3@RLV!M`t@DHeo3G1HH42_rwR_U)zwY};E+_ZKz|(HRzl6-b#Q
z|G+zfOz#l;2a$U%#(%-<>J{IP!&kzp%)i4|{*-0v!gDgS<&*FwE$ZLe@ULE7kzrW4
zDdL?0Y`HORJ_xJv4e{v189P<F-@~8Gn+I*+;h%OQT`-*%lbAJpShD5OE7)6XcIq<R
z|E%wC6WpJF<Ong}(-%A9{U1!Pv~$59cG6Vnu7say=$`O{H#Rdgi{Z27Mf<~G1G9bJ
zMX+}JyhjKu?i=#+5#0PWN0^we`nI}jX23MjUjpJ`ul*nE@50d&!wk8w(*}=bB5ZPt
z(IE%6KO0pa1;77Zz*zzFjTo_ChXoD{x|YG(zO@Mfu!pFFATeM6ns{~QDtvA+{#qj}
zdw$%`9rk&uNk^;?(mltgonXaa$8&w~KfRN7cCdBpN4BqUdCFv+H9UJ@(P<Lae5x;F
z3iBNg+TMT#quA^8;r6UVgLQZ)=Z3Tve2;&Ok_zh|HolEGHCT#$?hFM?=I69i9@dZ5
z`?VjY*uNPo2g^qrsuJrjzQD_5;&7r)__`QuE`dJ}Kl~VWQWUOg74PGL^EGnGh<vIu
zlba+L{M9<s^cYM(Ig!T#=Y~|#>A;p9%%qI)L4l%k#QIY8<IQW7@Wa(|Hex?T+N}7)
zPS{r@+lk13UP$59{VRm|R!RB+Vtva{edO^PJmDJUMXYZVq@Qsvz>SZ5M7`kMGgUsb
zaNsY?AWwKGQ(|rs-u>~oTo`=px1iQIZ262MDg?Hi$Z8mXGu7vmi2azdcQNcA;h2)w
ziA4UKZ<Rc;6YfnZx_lR|tXqE34o@<LHxTP_pVOYQ&G0J;C0`;xdc{lgRy~{~$IwRX
zzeFp)B(H+Sb~J{R!DauV&y~R)_hNgV!Mx;@0|oGY7V&5zUm9oIB$W$i9$p%%hs`pT
z3m(Ex&fiQX@}<o8rb$!a1FX7JoiP4!%P$dL^P!jg13z3bu#AG~4bOdEf_Hhnok)Ne
z%uMxIknh-YGV9Jwc%rLvgB3n0$j+4nN0(+g$-!aI3%a9W-Iu%BkH8L#`z(^-S7Gxv
z%-~*mXX;p3Ps&x!0#^Pwlzbb`Xjgqq<by~)O{vGhUzy(<`N1FG8Ft-)?HX<9R$=bg
z+2pJ6ScBk;HF!%%k24f568LwTA(rURQ<?s7xKi&HBYetFRVV@;Wb_>5fHy*1Ov2!K
zW!;;caOa*kBgFLz?3i)jgYTW1r6kH1tkK3K0E?DtCK2_MxZ*S~1~al<s=o!x=$}fL
zfSom(H15N#o5?0h@W_=v=|p)teg>1Nz<1Jh1&R7s{mwh41@Av^ZIlY9%`)H8fp49u
z7|Mo6`fHpF;e&?FyB@*Gi_h4NVI$@}35D>34)dim@ZV$Hb@_1FhEa|cJox5{S}FW}
z<?)%z@N@60X~nRALjjc=JhI)!NA#cc`FP26c$M>tXc0VWS}>Xc$DePgD2H?Vop!#1
zw~{{866d#ZIBxnD))I`B&V(15_h<frr5;()-GkjN#(pirETim^@o<jkavo_M^3PWz
z|6iY@_e)p*A>KHD;{Wx1?1Fp@8{&Q{x&r|?-Z5ovh!x(~Or`Gy8-D+qBmjrsG0by^
zou4Fs;e*xnnf70TdH+y0h{9hf%5*Nk<n0x^Mc||2SDLM0veY}R$6y<UTy{(N=f7in
zj>7$Eml6%&;b6KhEjU&??z<lR*}H^G6BhcSe@-1fV9L0D3J$0E9CHGuvVNwc2UpNM
z+Ho8fKIcMW1z%e#wLA>#tdbd?fj>z5_K3qG99ClXu-eMnUr|`~<?ldSSSqu@n-4D3
zzAxheE4-@d<c3)ygs!{6#`&RYY;fi`?{mKJ66LxZE6gafv(y{TGHd!q3!e%*85;;k
zN69hKz+GdXhW+6-<*n!)@OJ&#<QVv;GM?ZEk*_SC{BjdEmCmzRf&VCQHzdM$NExp$
z!SqVGyA$AKo1x90@T*LQ)(qG?E!XG=?0+bUH66~C_UIUc708+w9>e-s@0UNry!pzi
zIWTi}nrk1N@8G=e3CuON_MjJj$?^SiA$;ZJD~3)u_oEbF4a|Dp`_dcuI%k2`b2x)q
zb*urtd3{Rw4dLc5a&@qRm6?AlY@J<NQVu^Wb2IINB~JbQR0>z6jpla3Hy(5t6u=QT
z$*k~8VohUl=J}7|05Z4YLD-q;AooLfFx5Y50^T_5sGADQ3QZ1-!F%<Nwj{xBMKk5!
z;e!`^=MrFPT|=^O@TW%23sG=ZqDjp%+?x1bT?8E3Tt&46KNpCR34otRmQ8KK8K3KI
z{9uN52DuG*|L25$5BShE3Wgo=sQ>d#r0y`~yYsdraQ?ewzl-o5M>Ba!!U9c?&%@sD
z%VKxIIvdIRtY9zGjElSBA)b1zGqBbB)oNOp!8Wnc5H?g9OJad#%%0Ea!_2=Dq#5Bf
zb(<k2xU0>LjsvD13MW^Di~qJ-v%$xs&4OfM=jP0#+_2{S)dFewJH_%%E_fHE9*+od
z{PT7P0r;7M^GPANZp(8gFU&j6B+o{Co=s^?m~f@UMOK)MElE-c?pGumrG*>gxV|2N
zIU}WHso(`J7rDbQz0R&;5_pHdD1#Dw_66I(wjjo5uB)~R@bJvs=@mHcm-ksO_)+6l
zz%=~rgDQ;=Ofq?3=WqDMX^XTtxK3f_`Ye3@N9fNOIR9qb-$~fQv_C5q?%bVZG!EZW
z*{^yZ-e0YMq8nDd-^iH>zkML-+650feQ`;LUHR$1zJl|g1Z(EPEB!y|U&4LVE#Dr&
zf;Lb7mBHVuO`8khQ>Bq2rEr9rFJl2b`s6}(KKy2A=j=0hyi1`g7vA$!Ev^`zkllK5
z2Y&vn{bD72d!^@lGR)CKK~V<FJ0=f=!J>+h6aT>v+RyI@g_lHf4n2phk8Ai}g-?fb
z(l)}6U08B`;Jxgo#dR=6eczq)FzL{%8!rjp%5JoWNgB2Un_#jThi8WH^_laeZE*b=
zi6MRX<-YVsuVB6AU+qfpO2uZtTez*~`H}*xS+wVE2fXy+!DU%^Ld+xY1MHY?eP0@$
z?ak5bhLb0`qYl7E%}YE3@H>YuW!x~!6*|v8xV_<}FdMw6YkBfBOimwR!V0fny!mqw
zZj{wj-wD?hb+%5xZ~4jGcfb^TzOatNH-1fhTNgn2HFy@j!>P|Q7}wzI{kn-$@L;7q
z>36u(Bh+~oe#x>|>?>S%?@sLud_w<k&Io*GU+bOUuwqE*yCHbSbYN-$KE{7r^8<YL
z&5p)3SdU-b^F6$ug_(X8?vOb+{RSrA|I%>(Ev$#N&Nno`vBs}RdEi~bL7GJT)TwX7
z2jMRwdpuiV<@>X-!m!|g_<9%Y6~u7y5bRIY!uOVlzY}^b3tvc{m-!5v95BjKfQ<!$
zY=+@uLgx*X;1$y3Z<FwUml8xYVe?i_#xF2;MBb1V+<sXyWd<J5{CCS7er6&!{|$~7
znHV*NxApigj>1&wVz)2A-~0B~5#?WHrkZqspHNcE5arLG7pixG!_q^oiSldtk<mHB
z?~i-*5#{q&-v8Yb{*pQQk0_sS&Qg^<Y?`NW#1B4UyFPpdHu>E_8vqLm6my!u9fz*Y
zTEJVU>s9sOCZ*-(Gw}YtyhlX&{YH`vCiyX*6rK+t%D-EjCtw0D7_WRH1-m4gx8%Y;
zSr(B;VWz}yvpKMgXj&^#pC-O;Z^K}7bIHtOa8cFYl@NGqf6$mT{QY`ZzcpO_oV4aR
zJWobXY6V~5I#DPGGkz;|JOQ_6*M=*?lzj@fRp6T1?JLCJ`*!#9h9LZ1%mtfLxIdOI
z2?)T(J}I-r^^S80v9iFjCR?rQ@Dh8eG80TaD{@g4p4ak_B!&OS(S65r_5E=GkB~h=
z8JQ8X385&Fttd)gBg#q{nGq2wGgM?2kwRG|L<*sll?ahCN+PmX{a)wy=ksySy`OvU
z=iGDeJ>z|fRU$O?Vdd}hmjAY6{4syo7af>cuv~u%_U)mrG=^hrRlR?~8q5lo2C#be
z@~M9Kp5jFXGk7^PAg&jltIX>(fdg9Af}7zZM&kt*u#ZXQgGShOa($Itf3w0A!56US
zS+$Q=aN8P(VKp3e#?HqQt{3Z8D}Zw?ZkgD@kz9uy9>RrXd6~9w=BVtzT{t+V+s_G}
zyq~-24qUK4)<nwF(ZPsINw7*iYt}hf%47NAP58Q=zziu*qip>`F>v3?fwx|;vA2Oy
z6ny&TVV?8w@erwoQ24x}$Lt08NZIYFOR(bCfCK(;kwl=QA53@d*0vB>OL`>U2i_!`
zc{UiHWNM;42S3Ow(}{q&zey>&!V^JNx58mgY1RUJ*lPH#TMYcQ<NU{y@b~v^FQQ<H
zs}{z`;U|M59;tBudA97Mu&B+*%iFMq{Q|cUe1&d2<t{Aw&_vq+K9n&wo(T_8?yBAo
z)2NN4J%)cN^s#EdUG|?R3gMc@m)Dfwx{`Mp)$mNp@d0@_*S&VK3jXS}&s+lLt14-%
zgL8zhUJ`?SW3sorf`?DIFY?3P_1Awl!?t6kLVR#Rez0Z}JasKCg#%t_b>wP;#Yg+=
zH^U}xk2t@FssA*n)5B5y%KJaU|M)2#X<?TMp@a{xT++nAKVgjb8vp0g5C6U)O8Xby
z#5`Wv3%mHRgv`SV%dZl@!qW#1=Fh_Ge-ji2;eS3nso&taWA+SV@QzWFh9UUcWBGz_
zaFyWpCvC8`&vMvL_^O=w;CooKwZv-_9{RWW;1l>w*g2y~STy8-M=30oAhG8MyhVD$
zr`vF&QZL6e+|MUVnGElH8gX<SwqyA4)f=9AvqO3Y_T59l=mi@q-M`ocbN<{%`ArD-
zQ{4WXckqK>RG)_7!{HCRUc%IeMFk$f@~{3|tAKCiewlj+k90KcDTQB;9O=4B(tRUN
z=fg#7H2IP6(Ms;zd+_^vo{>)QY{SUAG*~2<&(;OD)^w{$f<Jz}-*^a)Q`8!bgPl!`
z(oNyUioz?=u)*Es=zZ|umWW4T@H@8@J1uyp(yR4Q_*s!#uPPiFoGuyw_Y~0;sl#oL
zKl_mT<I3}a9g6UU;mQmTSa;HEZ5Lc3`ft(=epP?aTM91J8RR7QuY}kqeHpkTMck3x
zzh|2tz7mB6bLrx&;S1Kv$zt#&s(hIfFiU%P#1^>zLc9g3f25kMt+?Pn;bZp?!=bmO
zx>(?Z(biTy*x=RUhiq^%<xT<eeDbrtC`3nW!lA1P&pcaRpoh-|c_)+lc8R~yjS}vB
za<Z1x$J+}uw5edP`PVGu`LJn#u6k7v?{8dBRHWd^)S!fQIPVPqwVm+eWL>&>c-Wu0
zSQs|BT0Xb{ZyE^NAO!z0xnwZ~Kk0TC=Y|h?j7v_#iAE#-Tj3tcl6&9ba`{hpS>QSI
zEf>aN-AdCLCfKp;^Yjor7OBfk1MBSG+xQI@+1}_v1>ZeMsnG`;(LSl1!~24I+tVKd
zaI?HR{Vcp;*8k*3*rlBRazD)T#9@f!FPkdqB=0|68+RP<gyl!W&R4-4;X5An!sGcn
z>dE_{wcM~s2OQ7!SB<=nX3F~Ibi+K8h0)}Fb`!1qwpQ4$(M>W0J}dX!gZ$p1#ge{I
zxcnB?GC3aE<IZMhV6P%=|6%ylJ=uHC@O1yuZ*n{(T72~6egB|P-`NRR^%nJig79KS
z#0WWGzL;sxaeVLmIuu#{8*cmYr;dD2{eCVhL#|)ss-}H2Owo5Blw9w~d$MeAVZMU9
zbc^tiXWX??_=S4&)irof)<@+DtjsCKN{#<J=EU>I>F_T;={Qn8PRpcNlke4vf3aKG
zVHM|~wP3iClF@|+?&vfr2!Uy<-Dia1w3ACJ3b3|#nuZcg|4Tno4&HK1ww#pz#UsCq
z#bJ-p^e9sP+oyFX#o*UpWGQ#RXLTke1Yr8Rx4TLCFPPN}<bwwtcA5ylE4%(=llBbu
z<8i`5aMGOF96Rhh&Yw!|hYaDryo_)(Q?MI3zQoy6=jdU#GfZRTerQjsu3kZVN#WKP
zah$N=(oW`Oc+JC*h6z4-?voN}Z{b-<?_-A7z8GHp4gckrFr$H84w?V$f!&U5Y-1q#
zJGu^a!!@}v2RFi$%;8hz@SwAIGP!;Z{OtRl!gsh=n92RsRKi%L0$=T8JWS5V_TWbb
zWtdO-N)x%itFFBh{D<~7+Rf#O+ev<jqVwzUtgSdbFZ@h%{_zXA)KTYw1YCc1enSoH
z_NiEaT#u8+A%3~=p!Ks<ay_}CV&2??C)Ncv^TW2US+A4vUel^lyU6uD$13+V0DgTY
zzJR1VMt5DBM|&i#@Z8hA@V^1MPSRefrDz~c{?BvyRGp-~b@N=`m=U~}HeMtK{wcJ>
zMjIAi8hJ&=zh-Q4$Tx(OMlW%=!VI~ELI+^Ydl#aPz_b^NQuW~SyMhCzaE0<58>xS-
z^cp3#VBwIVXC(igZlB<N@MHDuvZTK4XE`?~4$mAI%_I41ABpRd@kxU+q5`{NuLtjL
zZH2pa#u`Ze^6vN_oN$?p$R1KZo5d)p&=41V_^J%g7*Ix0!EuQ!mZUt|@GSlNh4y$o
zXWtHzf9XfN*#ul1T%;!nxBT(S>W3}fC{B_5<)-Fyy>REi83%H`+3)I|A>)4-e#8%u
z{PWDpH7{W$sn<uz|JfUHb)*8Otnd;e^}Pj6fC?G^^P>5F<~Dfs?0cIccqrnqC;2}Z
z*BeU6_#fHRmw%A*y0XP>Lnb_^(;UkU>#DdNNrz7fEm4v3o$|9j;3hn;eY0mX?8f`%
zJ(=IZHd$vv%Hy|I-)&*=<CMu+Qr<_ehr5&h7Uq3CuH^oIE7{Lz50^OadCCYMySQX~
z5`N_2AVr=B%oIkf^zd-av@*Hh%oJ&B$ov-J8|}4%aC$5U|7-M@h4zby$iuT8rEeSI
zpV7>Z$n*2*Ky2I{IQ902CM}p=ahrM;%sf$Zn3NYaw?0wQf10H)xz_^LIBMQW#%Jtg
z<Y}~lmn@#$BJ+dZ9Ap?G&wB%7VJ#DQTfw@s2W)SANJ;>v`gHbaAbjJ){ZE20SK+CF
zFj%JZdK&4Ue#9EO5Cg9{_2{m`x)FhwZo!E(*2f#*j<q!PY*?irmZ}l%ElO+1hoAJ$
zH)g_j_H=wMBk8eQyzatZ;=3HG;VU~1DqVmXWb%Vv!%06ZzLNQT&f809TH$&+QCcr}
zl}+VS8_d|e)yfktG?6{j1PAqgzf9)a7P%J-zJdEvXJlOA*$tHsJK)dB3f}XWFR3Zz
zJM{~0wWkwYgsohn{N`c4QI4Brex_#0!HE^PEKTpn0DO~P&i)T<^XmrR9r$*Q`@{yk
zpUJ3<dS<}I2h8l3kRGDYIeG>D{p!lcb+|K5RxKQ+3UDwY`!{=bUC$U6rZd_|iS6%+
zZOSl&EviKWmXZF`^-egM|6VTQZcByqW_Rgc9+)-jK=&%r>#k<MoWOi~PR*q%8l+nY
z=yH<z_<i9`@_&)Oa8{w_2JEadF1{J*>qbt_w_wvI;Zh!$$FR3Q2-fDW-!2IMRiVCm
z2|iT%w@@6WVW0d!;we}UP?$);S7O;OdBQV!8a=z<2#Ki{J2=)&(SJ7_C(q({3eI=;
zq}UH%i~C%E1g_~gmaPqM5?OLHhi&PSC5_>={T0u3;2s+HcZcD@)2)uW@UnN2xh4Gm
zKxi3>Z&Ay1VZjQfoJ+7#g&j((E;+!HH&hBpybPx?A3+!RWQUf8Bz)~v#Y0cn>&^9x
z+hHCFwgB?}%+Hx3CJHN^JG${A{FeW0Dia*VsOKFDNBExAVS(=)ja`p~>E?D+EFzxB
z1uI*(>u~8Y{!`0vz=QjX<b8dY!co1qaOAb&PuZ{(|L)lqxOtzfeF0n|qV@MC+!8ar
zxdIk`<$L4?{80H$WD&e&qvGz<u)*dWmnxV}IXKoH_PuI6R08+M{}eqy(qq>JD&e7H
zI)NmfO{w#}q+(e0&3$%Z__7LX_cQpo2%C!_yzfG(5!t`oBPR+9n3C;tbUEyq{?+0i
z;_s+d22ehRU+k6s{RQskw%h*{mV8yNJqYKBuRSY-4epJXH^LKF*LINamq^u1jIZJQ
zZ*OKigtMI+-)6w&l}QC8J&40yFdb$~+9{k5o9xW}u@}y*dD&kJZ}q*Pu?L<=HZUW{
ztK(Jf*NAvancS>?o$${1M?%f8#(~5Q{cwRo-OdDfqt%Z5@35{}c2^>7Uj0aM8XlH0
z8~6`?a5C)k8k~EW_o_AQvdH2{jqkx~-dv>=#N+DPW|X7=zuU(3B^Ca7_?Lh>{4}YB
z!3rKVthk{M`*VssCGpTch1&3$!5R$5zmj-v0d;cm<okM!CMk-<d!t+V%<Tf-@cW}f
z;?o%&78W`WEBFfjUV(RP@5~Q?56C2Nkob1iSatg%d}4P^%^dtrt%C9j96cmHOyc8l
z4gYM9fH@b;Vy0k$t7#{$!?tmiB_zJyh1Iv>39v=c*AqWrUfPSLDR8;Ufe;d(FGTM_
zNE*y>+C}0U{H(^3J_j~!67(kV{^mdC-Oqy?F7D^+g3pDVkSm5WjwNf6c!8S7Fa9lo
zPji(|ka&W|uCmvvV7*})wnlgxi-`qkUpZN{y^6#mY>J{7YJm06xPKw>3U91zdraDA
z^7ltwBk>GB4z{bb!MA?3KdOXp^Ndq>z-n#d7SCZXr;O{Qy+`Pb<V6x6QO3R0nzRRP
zJgz1B6wVQG`aTSc4pqA6!g?(cVc+2o7A;(P@Z8fqOw%yEHigC=xc8`T{|r3(n)N%0
z=P2}G{qzdVcyB*r3jBLBwc;AgEO+QBi3i!<`n;M7?N`F<0evK1<YnrYQ8cj5t%$Ij
z@VbN_2MfI4?9qc5__~z;H&!@gzT7kp&a0F?%MCw#wUibN*PDyc^1)t{YuX_&JJ(PG
zX-~^o+j_<yPAciP6@xt$dDsKs;Lq2`Wnn)Bx!vdCzWrg(<l#f!a$mh*tB-s3tHJ&a
zhb2$LKa{x#_QFr&47(iQ^nV{555gb6m@iwyO{>+r^kAx|CfT+ym$d(j!?4A}W4}oJ
zQK@Rp6G!3qG={fK;YY%2!=$}%?V)}ZiC-G~w6DYlHs7p%$`F1Ko~-T!8|Ci0b^z8L
zK2PTYhjNL?>%f0`<ZgJv?(qzPN^p<cXBi*3K6-w;3S8NrS`h@7dkpKz!c*<85v2XH
z%eQ4l4tBl2ll2;0mYAk41RoNsD~N_W1cOI};YIn&N;hE|KEWdluzBa3%oJFsczKl(
z&Kryt&xY$yNj)L)b>%}Dr3+w_g?X#*BtEWqXL%X?@wwP^6Ks9^#AFq`zkTF3iSKL2
zwB4^B9xD4SnGfsTb$j#{p4Y$IRRHS`tEzl}<L|uJx(VO?_4dvum{ZMX;ug#!e_MjI
z=l1<Wz*qRTU_!$PTq1OF;3~|XYHKnH%M^at;SW3T8;noG2h2U%F2G;kaeFPpemPZK
zXW;qKd8T!^s>}41D}3%vV=^_`laGkbjGlr!?#eoBg5TIi#5ur2zc&14ffvmxd(7b@
z^39R#@I?;&kYn)i(p2_sF!Qs|IfvlW0?R{u@RQ4Dj7{NH+IMGmz=Isio+SRW<$kf<
z;&9f_a2`WA{Km>FIrz)Tq*Ll}UCMo{UGTM<ZH#;2QNh5mJ@D<UJ90{J{Zvbt25dwt
z(yI*n4Bp+V3y=3_t;@h^epB@NaJG@ieL46`Tm4N_xI~BJw;&vod{ovP7T=qYEDSe_
zNLE_Ix9vAp^T2vX+#+mYs?))zx4|6xI;_s{AODGK9B`}Fl>rynIQ+Ey7I<ftmD72+
z^4dFdW_X)p$}VqsHRHfv7MMxe^TkE@OTv9&T3Eg&KROuRSi;*v2bcZ2%y|{Ix_RL@
ziJwiQSNZK4am}yfjj+H_!r25^BwnX_74fz+XkM${fLH6vPp`xJn=<RuVCgILk@N7>
z();)f_~WY!@{6#XeICz!xF?x2;5!`IxAx>A{Q1Ns;c>X!zel4K)}3c^CGoub!})uk
z!nZZfv-iVu$5!k~f6e_Sx18s2PU3&br2k@f4A)vEyf5w|Qw`kbanR8fb~Zl5(gs(J
za=dVXV}CkbX@uj8x=jq=tiW#-q(7&)_Q`!cct`l64A~#E4g2riu!mGyb2F?*xpGhi
z9@za@<0UNZZFyY`zH(sSr+PTBQ181a{OyRT$#a<Q&jZ;l@YKtW@8ozLUfjLP0c(F8
zvMz^%*g6Xs;fH%ucUHi<Q>_~r;O)W>?iRuF^NL2Ri058t!K79OuREybEW`4e+{O8D
z5BIs|8Q6m1^~FMX<w2PL6wJxp=S;5u-k$38F|xg3h!VN}k@N58M&L1z$by^jT^>5_
z0hqOWr+*Txp)cS`;?G}gQJ9K_WgM(-eSmdOwN+h*x8(RucEAhb-EyRSjFp$Ok$Cnd
zv**@H`CzB%aUt>U_e6Smg}@CgTyZa9g$SB`mth6>y<;z6yI=I>q<`tHdkFnAc!4+N
zGU;FP_>yn`6h32?zC_CJpYGogkKj8`L|>Egt9$CON<K-qktjI@>wHZ8FB?`BdlcjV
zkI%H1-Gy(YKAN?H`%dtEx(zcWNxigzGp`<(ONL8(C6z7Ui0}80UWa=(-KQk|S)V4w
zsbgTFcUe;h;RDSVCBos^lUtta!LPIGLodTgUpLF|gJrz9?+3tw4==Cphu?ITTKK`|
zzWa}p`lEuMInW(`#5w#_0XBQ~MDi@`DBYbU1UCh79zG2_)Ty~`hj$-(v%wCIE8BTu
zGrTKaR@4$cRus8|13sQQ{gJG1uynz9^G3MW+-k)bzWKRrkP42yy|cgoei~Bwb{6$%
zVryEP7A#@Flspf=vHbpNFD&CZw$u;5jI~==f>S;!z8-)@k7?S<!ap1r)1SkRjE!Mp
z@R`)TE;X>^;W$%HSS-pdz!rYNr{>E97cJ)<w1XQQ?ZxQfJB5J?<oR2iSVXxQ?&&(<
zXacK6X#K|u7mrAP)`6o2mM)R?ATp*;KhT9IRF2Qz$NCYnUcQ}&@IHH@ytC~w>}~Bv
zV*+O_1SV&}{B+At=-|MQpFGL>8B>R5e{6!k1iv22fLrS`gx=x%&vHNQ^IWohT8jBw
z_{1=OM;grLc7`h%c49OvxCeLBI~kGhb>@BHuTo%+bQu<VSgt)Kjr`u+y5xbA@Xed^
zCCRX}@lR@L*eGT$`VMUB{X><s&y37l>XUSzdmke<z%P4rwv+VE`VUoq(LU<wJD^I|
z3*j9N4QhcqUzW0y<MnwPQt}4wp)=^X3GWO#`8N~Zp~+Z~4v+t5tB?WbrB*nTbWeTN
zOXuNz&z-bLdZN(oG7q>zTw()Bf2hy6;ULVe^tzXvuNW`GE^XN0Nm}v^I5Ma=gd4tI
zDB?-d?e#uA*$SuA4SposC(eF}o)<uWn)|ULvVXN-1GTd-h2`OMBt7A2Hsc$3xuE<Y
zNxz<VcV82HF+RG0oZqXQyIXT%Dzk6l<ox0qG7Rs**N0z?C&6;1sluV~2s>SUCfxcj
z$>I{c>RH}Ou0O+C=Q9VmDRCx`T>s^Q_Y<dJXVW1@a=a0AjdlBBkFN}4WIYw#@3jk>
zuufLP4Ea56zolb4U@qa2x8(n~c{Uv_0<&t}?I!E7jPDSiq=&o8%8DM4^f&xMbg<tC
zd3%yy@7Zm}C4PM0JlmuG2+o?0*|z`-QdCWn@-{n4BQ*-&J67FT0?U;z*$%@!Ez1JM
zaPZjEkA3i_EsIOfVCl;_biJ_9O$D=Zn3>1^Qaik{bEo7BSU%LatQDp^aXP#jE(l?e
zXoT-ZAG2<N50uSXHNeSy*URf*Q=Zb!=P>Vpi*qOJzr|mz0v=yXdqviJxm~PMTm<J{
zbMYF2>ks_iS_q$zN_sa4ud)`$-h<QXS>^u1nGS!f(qZu_xyUt=zV@{92E3w7Yfpvy
z^ObcFO(Gl^J3&j<a~W8vh);#TYU`dAg^dpv*pmEpJJr}peWCr|@OT=ms}Svb5Iz}}
zSaB1+lo!jV2Q#iUYGuG-l~fOGVYa1=fn=CzFZ&@<|II#ZbGi%vnuzH2hu<Cup(Oij
z4$2B4_3cNQq8M`g7A=FrDe%qKCnw19U;ITIod(m24UOc$b8#(q$nz=mgDW>VUgiCa
zy6@mVio|=_@Xxnm`4h0J-i!y?KO<)^<xlv9Uh5b+U;Fuo&Ej|-kE?zN35Wk{*e67u
z_b$827Xsn!iFd3_U}wX?h4b);^Ny!R@Vn1;XV1XXv@DvZ;p<`f)DE!HcucZAY{+pV
z&<c*?vla?~{ROKyj=^4=IxqOc>BTuwCUA89(#~sef@$Hj0X(AO92NoVa^7~-f^XM{
z?n;8EO%mQ|z@BvzF*o6T2ZObg;X1yhy*Y3pm&*eMSSHUZDI30d;28f-IEHe-Eg#-`
zLDy6qmQB`ddH`23C^ref#~$wTuYk>27^Szth0O`=<#77P)ogayC;vidBP@5mo|YAk
zIoi?N0JEQc61)jspe~H+f-ADljckO!s{Q@e3GZ#QJ+aD%@2yu3&--8>WtG@vIFq8B
zoxJZ=v`B26fj6GH(C`EPtI+B^32Q1fY$NZBKUQB2j==io0^TpcZfnQ1zrs=VwW8#G
zbK|m6)hAfB#krdb@2i7}T>>BBgu(|h<o$J9{o7mb;L$McFPq_$3kO!4VTb8p6*k!9
zgu3TTxQDKZg&V%`^3S~&@b}PvPFrEIn4jF`unlWCml&KmV{)k!e!~9DLlj=0)}4O{
zfAo|QBHssFrZZ05hp%j~x}XS)Z@=B10c+1LQIPMAjgdjlw_$-;z7ynor0)5J!RxRi
zd-k`Ja8=}9-zYe)qDIXYmaSI*6$&#N<!n!a)ssIM`@kaNSuM$MO?z8U5d3@F=fFHz
zjJae_0DR`k*X<AC{|pNnFT*Sbd|efA{ht8IOYp3Q<i#pDP0{P=Rrt^cCn>T%%$l}5
zPdJ=?G`On;J|8KT69Xq!JP+@Oo2j~JBjMwXeNtromrkSR#00o<nQPz|%%N~<F&19F
zvG2+h{2<6YGzor?bV-S<*V6fJa5NEitSK7!2aoZ#xu?OkqD+otJr%vui!>xZpQS!C
zH(a{=OnfG6^EKjyI9z1aJeLY<XSFzz^-(U5l?C5}k9X|&y&vYN7UU%Phco<=$@e^8
z5ZxW}f4sJ76Zj8ipFO0M1<$KUHCw@ZCzNW*|EC-oa@ZTbL1AH@12eggFZsal<y5~E
z!Yfi{mbYMycJaJiIP}h2iey;+46XcQI91zZGig8CD&%EFj;H;=!2jEi*kg^y3gFX)
z90$H2Jw5tuAUPft>A=(hI4u0n3@IN%BB{dj@VQCjtE7C?lq_B#?P<Tq{MJeN_^kYw
zf&uMuo>e7@q<oy}FtenC<DU%BlK(fZL#0w2&MCXwM*e@@<x8w$a7#d&&Ux5IM#JME
z{O_qbqbq!A_(GF5yvN|`WqX+2m`&_7OkLNm_aEGIeP6IW?7p44)(lQur`?+cf4Mzq
zpbZyP%#V`w323|Sbs51*m0CJ=aGRTSst&yNPh+Yc&SU?*-2|qP3pE~w3$H1SAB4|Q
z#x9J&Y{|3d55dEqmx9({2exV&16cn#tJq)omAPL$`F(YP3y(R`-WlS_En*C((PbRl
z3O}Fdcw`PQbtcAXz)L%0?vdk(YJQ`#4<6jVPnx9vI+*X~1j{8Q3X}8{-MOtUaE!iI
z;ZZo<VuRl`_#LIH2ibqaH%q}Nm|I|UnQZS+zWlTu9?<wwLe4MT(A%~XzT6O|PR`Fa
z|3aiK+Ixe%GV`QiO2L<3tl_jHwEUuQZ9ca~5Im;KIK&4R79Y782v;olTX4dUMLiCX
z`1Xh5Pd{UWpH}6hkofj;-ks8PaPmr-UJ7hiP!vZEzvUm!Ook6P@KdjE!}&^#8k2bU
z$|;i$%kb)F=A2x3_jl{h({MI(RNy0+QSc?>Z#cfaq@w`V?UoB0gS}$XL!QGGBR_|~
z!8HRfx+`IZcB>P8@QRbn<5%#L+$T|=;15kER4?J(%R4CAVKtq~{wBCJJy5<Ceo)pU
zPukO?k5A>jhPQ3X8Y1!abN9s3*1^owRmxp(kTk`mN|>*oi}^E5>t<N=41W4u_H-Z2
z-Bc@D1g{oHs(*tsKhjt{g7?15Oc;Vkk^<l5z%|!qoqxbCUbSo4a7igm?HD|izRN2W
z_6*NCw*XVmmV8Kpw`r8t&%v3d;s$Z>$s?<&Yw*DqyMP$@J@2NO6__*e({vcje<$`1
zJ^B|?h4-6=ko=1`=4s(*{>mml*wdlo9V_gv^kdNnj(GP`n8f?Pk#f@Q92`uc)4>my
zoqp2l0$*7=AV%W-udYk$*ufsPK7U1El~OYwTll}%=Z|iOpOw9vuz*<$-%^tJ|7n#B
zMn_<Jt-9kR{{Q~zh&luKlid$lRd{ND)*n5%iDvMM3fwZZ&1D}v%l*%atOsy+!>$w!
zc;Nk?(!Fr;reYRlSi)Gs&KRB?`QWYq>nCh|W(e;PG98nE&#g<v9f1=Et+$B7sfW2o
zOyLb-{V@XYVCe2dJ2*J)=PzE^)<NKhEzINNa*7>px06qDhhwGA)U&`9A2<Ix2cJ~`
zsk#Y1R=Cyk3QSwu_J#tcSD0=LgQ?q1_bu~cyw-7lsZQ8xV4eRvJlRm!P2%q}zx8_X
z8~#USL$?a^P{<{Z!GZqI%huo<SF;33`pHkeyGguyhKa(WaX7_%=o=?&lgq362j+iQ
z5>NWehW^^$o`R#gwyTT5TvcsCi|}aA=UNR|^i*o`47~a0i8K3Pb~7rq71+^*_4hG&
z>du4aIr!+6)D%lNq>jaG9o`jU#83JYcRr0BBK!N6`>pvrY{c-#WdqJv^3x;V%Wxcb
zfAbpB1tX1w!eJ+my=K%%ZxUI{O@o6U1PuK{`sFY84`;wF3VklLNROR2`$*!a-)EUw
zq=Z?j=t9cjBkzqv8Q`Cr68k^G3l}3asNmeA$0K^+th-;D7~wG?o?YKzBS-rkbnwFR
zkHH^sKvZQB8+_+t)Ts^VkG*GZy_e+ovvFXigl7v&8ad$WH$|)2;2=XfQIfxrg3gH@
zR=)S&V{VvT=)uHJ_)ggib&`MU?c^jW*iM7_^)~pptRk;A95!oUwiT8rmTA<1l}eKP
zN%@+2(P&@|b22=3=7Hn&Tjy=yoYln{VK_|w+C4Y;w#m#Pl0Q-RwuuLPQd6~84E}P;
zSJWR)<CCS`0aIU%ZodGp_xmKszzVDe!IAJcile`G!d)+%B%)!@m$&^D;pcQ>J*lv&
zsYACcJb1wPaymT9^1yaC9L^?VnFFuIT#Y05Q^#>js{61y_nWPnu&Xv-=~KAnVt|i2
zth3eB`WehcSM~P*yuX2yp$QJ`v9u!h>tkWF@@Ba0RPrdfpU303p8f={q>CQVfqw^B
zvGl=)5_a#5VU`p7#=gRl0Ya;W@Nv_qgkku2*MH$h;V9dqnzJzfQ0v#ju>ZIFKS@00
zLDfyJmhklw&)ZZOFYsTnbF(?T<K?>pH1I#VJEk`9jYDNT%<$l{UWgTZ*_FMK1)dfR
zrgMPl`@VSzz#}dVj-)<&9BL>);%C2$U;It#yB8;SEr`QI<2U%7;YQBvtevp@;OjgO
z`0RGyLuzpN@-!8xFO^UKT2Y77CI#b2eOi~;({TXqEh?(^f>(#kf=K*t1J6O7i?DmF
zq@+1KW;2!T5BoS3b(8qY9D=-3p)f<&wQv$&S;L<@G6)`1<&<-V`Bb$xN5B^ye-HS<
z?W=O`mtooC;gJ{MBh{8mQ83kM1Lg$y*yZ%FEAV&QiAoZW{;hW%BYA!#Ox8PP!|p8M
zE+jwOJa07_-(gi@J4Ak;UH`iaiRW%Iw|Q?ctUIjwg2XpY`tZAqoF7*O_pNd`WWV+|
za(-r~&Ww}z5a%L=EM4Igd;VlHzC@b(<x?j(=dQ~HiD&E^mMLWm^SA7+dkY^)_;JD-
z*5tXmg~WHj!jm23|KF`*G1(4VnKN%V0{bRs>?iRZCUPcy$@63Oz7yB~;}M(6=aTYf
z#`WmzN2CYQv27#eks(%zhr}PYqKxz31A8R+xDCU<rrmy%`=e+<QHR8LaNGNUk32v0
z7_kluoP9I$CV75rJuT@m1N#=&){*=1N0d{;Z`jBqOO@QOmhr8gB)*5N-o_;I{5WPn
z-ALklxM++qvcv0(rRmfdj}yGYrcUY??fUQ28(|yE`4Uq9o%L49WQT`6wU|kL`M1;Y
z4;#E=lh_qfpN4nSzTt+`PwADB`r7lLG9MRw$xeDFssGdVe3&KUf2?8+k59wnHGg&a
z;n7*SHuAi|vSstqFy}9O$r1P$#}R!JPl75^Kf52Mw;K`I1)nyzZtsQnT&49^fEQ0_
z>vq6iJ_15ou+B}pd+*_0vKl`7VC{B&p4YHxN4+75FQLBoh+aLMls<Ha#FrTOs$N?K
zyU5%5lJQDM__Zc0U}ffuZ^?M3WJ$@>#qh6KPd_VIO-K4=A?*1#qU8iUd2Opo4s0>L
znnmKz2s*MmWWzqLEDI-Lzs-O9Q(%7mOYfZFU9}5zx8eTJ@q$jUWY^b_>#*^o)de@$
z_i)eSSh&cH!SEc+(po2a1+LQnxOfqca=I593e$ysF${#0c;lD+;k<_$!eQ{6-GMv&
z;QYCRzM=31bLR{<cpGz;Q6#LVb-3j$+<zwT?p63!(_XF9@apU#<79Zh*2c_}aO=q7
ztXuHLzcU=i;Y&yF_+`M~qT94AV1Z+qEorcB@rz1hxH(4FpTrLmJ?GA80H<u1ct_#~
z(KOq}?1yiSyJnZbjEf3Yn(%?dQwv3KRMmEQ6*$IwAiEastgMYugs+vfEs%H?ZDl1J
zCE<rB_S}09t66B;iow)U5{oVHlL&=wet0eI+P!|*@?D8MFWf@mvDgb+DBgdt88-3s
z?qtPyxY01zAJp*Nh1_5g{~<Hb(~}u~^i#Bl#FH8}YZu!DH~Kq<k$6+dk2;H4;GB{E
zelz&H>y#rcEVd+h?I`RgG5MPnKD;fM{w$o9ZSKzix2p7&pM!tIn^JJVHWuciWc*)a
zpv4G1obKI_kOY_hH9p4<^U4N#tidX-#g(f(Xzwo@tS9jZbZqP8X5l8s&+a5Xo3;aU
z^l!K)M6I60XOoH-ru+^|Tv1G6g)K+4WJlq(lIy>iVJiP)_dmm255wxVz$enZKlH&E
zh0RIEU)JA_H0XrybiSL|1{=iQ^J|A0MMX7vVgElBQ%!I)1q<hPSn63DZzD|a<lrm>
zvtJoatbx;&4KyU+jXcY>&*4wyb0ebgtdQvAe0axNdzCb-Zm!(_fVeKej>NMYJZ1kT
z8QvFUqM`stD0wd2f@d8~<Vk+Vn$rI+!e4l{Y*K=6tkzx&fJ@w3^GG~}F=L6(hu{>U
zupkmYum7epoeBK?`pjFhebZ#bs3go*n{=0KZ|i<z^G-N&H|vxPOqD-0wF%xel3T9~
z>pK48rGcL~?_`sMLoO>X4RhoBDWP~w1$McxU-TQyqUsY%evh}_fxQD>@A+d-;`v=X
z?zXQD9(i3(N8&f!d5|dc0zT6(`Gt&^4fuTfziQZo<@c4nFpXl3egPbm_TPUxupRX)
z--mEGYxUy;aH8Xf$-6Lr{Pu7|*qpA5=MHSjb-9PcgOL0%mXJj9yXjoEgh!tbOeDgZ
zv6&x9Jcx_cGxkyNjr^k_PH>AsUv&ih-S)u;5)Weg<==|I@Kc+6M}pw&55-mf@HUyL
z`+@KfOS8NO+*ui68Vw(rijF=D{}XtZ6A9bd<xrl6ThAXmlmZuwT3VeX`Q4MVli|zP
zy*?a+UupOF-GN=V>u<1t70fwXGT<Ldr~HiJ`+SG*=EA2^m2wQ>=>0LXBpyUG=V9Ih
zaOC={<^nj`KtOLl{A1S|Z$4}%qgJ~c_8O6zA@L#TchUS(hNr#zeip)AKP*i7U}=GW
zwNGH@|Ac~h;T8SjN)kU}{fEae1<Z)qL(kxdW>wY=u*8#~Yo+jenQJ~{T<E_FcP}Hq
z*ELeD_X8enTd>T7SraCed*E`~sc>?BrjNGK_rleeRX&mPqs&kYZHFlz$Zbr5?@d}C
z?S%KpT(Y<c7eDlBc>}L#285FF+T}7SnJsYooUk~#z8m^p#Z<xLmcqdoV7an&g%@xN
zRY->)e7uV#|0#T8dx)4b?7^#cxDxiW7z=QOf2tWY6~kds-*atXiJQk$OW~()%$BWS
zmJlbleAxV_xrjN8D6b<0a02V@7Bc?(2UkpID$Jd_Z-JCIDyI0{bhvR*Hsc^nGnRKF
z8dmwaw^;*D*>~SD79KkLoR^gEw~fUE;qdXaUQcpA`hC9>b`9nfH0PIv53eUNCXn>4
zj@|;WaD!jzO_)RRvmmKoLRmf3GvHr+gNEF2na+RAci^k)XYXu<%_Z%xB*82nz2-N;
z8WfU}<aifr==8~W@{^;o*<}C4Ma<rRQJ?ZgF!|hoBXS-#k@~htneA5;OcPf8XAWj$
z{P`jVZU{Ska27rg`Adl$Kg%IYPcq(|?Z!*m2)Ju8hl|9o-0`Yz!5dcUsCD}U`{n$X
z?hi-IyVZ5Wj#p2xd%)?DQCv;%_fKCdykHJxt+TJ;psGPxSNMqenMpF9{H-<J1Cn2d
zMrMB@Ea$ONz!{FHS3jErJ6<cBae>uCs9uuzlAcb5&UUc-PL7FGSog^>^;7VdKVLOS
ze93v+L!~ER=BQa05?}Jn*ZFWOc$ZCM4T;y&X!&dP2yFYU_XmkD`I#lI)f`r?E7?Qh
zOO724(=mqa6`Pz$e90_LL9RpaD1XlLi?EF;$Mu8o)}ZHO-f*2qp`9MQ$2&vK3zj`}
z=aVLUp|;$C#2eawPoZExtXY>)N#aX7nTQCh!twVySxyk!?`_%xYs=J~Iu4&_l-Ae<
z&uOua?t^=els+Z-e|9jaYQhY%cckQDLHe_!0&uH{tM6{OoZC;8A3k^L=%g%s=R?kQ
zX1KmXFi{cS>RK_(2z#*5(n-R#=h~U6;oBFT`laA9)^YodFz;1kGZ8q@j<<3a?-Q=?
z|1OBZIx%~g{=keq-_8lZ?tK=!f5J+|yY>melOJ=2#^CnFWocIUU2Frx7kJa|gBv!(
z-ZnF~12C1Zm>(Tnu#r8Q#M9a|;ik_3KQr)G?1UZDWK>qRqCLU#j?G&*+|Pq<4c-(&
zcl;&%YgblhGpu^`y;L*&ZRhC?O|X(|tOSYoRgkiL`Vst8LFX^oe%ESMVgbp2mUflQ
z2RN*CXfXknI{T!JykEJqu!zRPl#!c!Ncw2TF+T@*X#VV7@;(;)?uNb-tT<CKN8*d=
z@t=EX1D`My6np~rhvp=ngd4}|n~ULZmPbPl!Tev+1ju}XGk?lNj==h>3to3%rh>>c
z16X=9ov}Y`*eO#^(%(z?W%<I9LK~zFVP0+BB}drdfk=l5{OVhckps-LIIDXQrrsjv
zZw(K7{NvVx^A`n#$ou(Ut+Y)laQw|UBQsc6B&&Bf?7B@eoxK0AoRQ;R--7o=o(d20
z{(nwfPInc4#O%M7q#ye!n9>ekxX5}y12&N0bM1uV-Ex!nz_Sx0U*EtnNuQ?3_sXB{
zwkz*p_rg7?G9-Ty9ZNTCkZnIhzIQ11jg|JonI^B&1>v8@LVLc!)qW<;<a?>niJo}`
z4pT1h;(^}`=p_GwxkoGC(!*X)nAE4?U21H;j4<^{gN7wIw|w*aHGI!0f8OZ422*68
z_9yGhoT%A9LxuCTkNa|O0sd^nT~7mx2_!7d!CIMps(;D;mYGB*;otU;7&ah1?q-8O
z`QD5OJ$HE#=|)xua>)1SsX+Ck%dj%#zooCRq|?e<ay)s@E{XKPyOZkE|G<m)DO<bY
zzHE)CukgOcYs;;0i7KVlFzjqRyhy&ErOqn7B-by~?EH4}y?rj@PeKcvf2Pv+Ib8Sl
z)7gh`N5|3ZGI-mYIE?~${6*b-AuQ_Z${h)hT|Fa|3qMxonTUeV%hr0Oz=wP{?K}k2
zwg%lH?F)Q)g{y~Q0d~2W5ZJgbCUcb&-?u9)e55_1cv{qB9S(ID+U5;we3I-MhGqBA
z>yh=L60%<8j>7G^TQbhTjD;@S2H^adpK~YR>xH4UL-2IqKYdGB?AcD`PjG8|_OdEm
zn<IAd3#?jtDTlPbNVJ7g|A1ZkuJw@ip&Vc5+BukeTZ7a_xTc6!`4>F1E%W#)+LI!v
z?Ke%q&d!66mSHYNiePd)2ai?t&cNrB%@2Kt<F6kKpMtge;`emJHb2CQ$6%V)FHGck
zN;g_j_rr7B`Ha%xyYffn$@*hn!S;Nau)A`k{2SOma(d(pY+7^E`V~yeC0%|NW-4s8
zu7)vjh5HEX$2A=J1U`OEc;YB*?xPe{1nc+oo2bL;O=jhJ@KQR1;9mHH*jonDeitK<
zk+chb?=-HG3Dfd6J1N65Z-&2-_CPv|A4f&une((PH(>25rX6DNW3TAb32^24^mKkW
zmZ3DBv@bR?)|?ZBuW_o4U4{D-4Mw)YSJUh_hrqS=j!(JaipRg5f??nCKay<lXJMY3
zzOX_y-TG#DuV&%6Hyl53(~BOC&icf84i@9i(`JOXG`YLF!m_mT&o{yeTQieS!8sQ+
zVyNN$2h}F+U`ypD%5@Gr55muIpMZ-7+CKb+tE(B@kHf6a#|#!=wn(=ovfiY#=zqVK
z;cOi)K3zDZc*uSRKKj8xUlYF4*snMXFWp|w+zVR>oXr0TPjSe!D8V|e7J<LujNz|>
zyWrM@-kD*zdZ+OP5!m5&#f|SUZ!le(F#Nn$mHrECq`z;K2R;)Z+&=^t<WiV&!(r~(
zrk`L1TeTq4{=EHUgm51m)3D(K3%qeVbxH?p$?+|08tvJST3tSq{CV@wdZ*x&r4h4s
zm~Z4aHEI9uurAx)2_I{H``;*>XfB=l2G%T~x;6kePA{Bkfo(EJ2Kr&Ea`&%w@N*YI
z`Y!nT)m^0x#17OaJK+tyh2qt)U_;X@GCxT?chBRuaLCU_S2928vVV)p2l!I$TyiYz
zf9fplM_6rfW<Ob9^;G6+!T@Yr&*OF#rnF44C)dM`aSIn&pEYz<{1>@iPuf(qL*cqB
z_0{9>H8z>sr2pXIuHm*7nCGy5!$sKkzred|a7pVPt`K;IIjxKd<stamA#HznTc=z&
z3w&EZZ|VX(JoJ)@3znI)J9q{bqWkuk7tR(mpLT^!jJ$S>z)#;ecprtk!szlP;Ca@d
zw`Q<*pO2srY_L1ZgsjKAr(rZ<2W(^BxkBbU^?FwXbHYP<U(Li}xuhfkQvPeQnIG;T
zu35ju3M-!Ar`QTJ9Db|J0SD0j%;$oy)}4O24SpRlAwvP*<i02`3=5h({zTS4W{Tx{
zz7rnS7-P>se~{u84HGT+Tm9iPY4C7ia)T;K4{Fo#h9$Re`AE`v){N56!*|Ed7^=ZB
z={<&||LY{nmFWF&hqTfBQP?0@k<$Qvakkf=^rz`$3S2n^OK;H;CjD(~Ozq6a;hw3=
zTrrroAT`(;HY(nBNCFn-HKuihrLJiHrGpI)bm*Rg_kX*U#{dV0M0EJT<yC!JyU`!%
zq1*ZFKKwH9TZ%HQ5U@#x)Q3Ua`@C4-%-u_Bd9coxxwlMk5v@cCNxzgEy+GD?UrN6e
zau;59DKMsjU#J%?B*W2y+85T)pDjv5(U=04O**%)z`0(sdlKL~H#e^Rfn~ifGTeYY
z&PX4bft`yVhDO29Dc%N;!(88I4#&XN1`^U^F#B!&y@BwANz3s;IBRzdV-RfcN@Y_&
ztXwm+<O*9Ud{OuSKWgG@Cg<NhnY_Cdj@^~KlhoImdU~hH{HfB<@0ZQtdU^X-weTB8
zr%pw9c!q!S8SEC3l%)js$JiQ_z#7Us0@&e{QgPpha7d_$J}GbFf3JVYhPRb;36c8B
zDbnFzD$LwEKRpLCJ&C1Gf;q;I9O;K0#Lvpd!IU{}!sLGBGubyp#s^$$d&v9_R*@B9
z41){jUJSg4oqhZ_2g5p6oA*6|qct5geBp}%LM-KQ%sY$8^Ki4c`DzaAwo#wk6*jQ2
zd3zt;RH55U#w++JUN64|=l!QSXAA4MBwk5|i&YHoS;40-zVwWMnf3JAj>7T5FZNx7
zoeb@QP2oEm$EEz>%gv|q^<gQGudDtr)oi5YL0IVx?GGn-;B&$iGJZnl?rOOUd`jl^
zE_GP#y}-TW@N#(PNk#ZRGt>DKu-*D*RynweMaD)SE_*4uM;y+5&M9pO_t<((h`?{+
z6}i>m(d*G$`Cz3y&L8UVn$&K0Uih%gb{j=F%h)W99X1c#Agu(y6n<vF3a8X@af`sB
z#ofNNutLD}cTqUIKyL>%oOz47ivw=VJ!iI#@gnWdda}2`7n^=jtib2;#^b1A8=0*#
ze_)+m<<^_v=$Ow}rs4a|H6Q-6qkm?Ew)6+QBj!r>2Bgoa-LV^md8ZQMej{DuUwiBT
zY_#pD^$ffm=)JcOjxe*<AA+eL6}WW59uwSL-{832VXxX@>Fs=Ry|Cel>d9uf{ZE%w
zKb*?om+=~oN&BSt7UoTT`lbe6{1~<M9o$oUTc{ddI~W~X53_0Z8b5)>Dt24FhEqfe
z){Ehg56XH^;8fNbiHF2RgImgB2j2GHT=?LfUdmip+MAaq6BZc@?6?nyHnQ5J!_QXy
zbTeTlR-34su&qDmmb-9($x*cgc)E|C@;cl>mFE}<N7QGx$HQNy^IlvfW=lVK4W_ug
z_VW@vB`3=n1wWyqPrC@8rV*gH0N>*~-Q*3wi7#vmfd7>R`+34GYAMfM;F?{7_gr8_
zIiV<5xR!5Q;c2+C`|pG)y!UGOCo9;@HKghYTzawknk8I1=Wt&OUNYPH)D%8F_tje)
zPCM)FU;?|EHJnt03yQuaknvA@YSd(v;OAB+Q}@F^XJ`|6VgGBN8&zSBHGf+^m}!Hi
zpE6video2+zJB}VJsFs`=mj@3+@mOWR1!Y%Dv5f1Guk6npM`9P=d)Hn{Do&173InN
zN!G~r+DUlL<)t+jJk=!|_Zxn2i>iDJY&ptB^&QSwO8mwQYdL#${($KvKdUjplzRW^
z4Z+jFXPv0wRf>`=-{7qkRka&owvyzSUU;T_fNKup#TITUNesZb=XZJjfgkJf-06a|
z`I<6*!Wmxn=el9)A>jowzw+t4&hUF!A=cnfFPvE2e5nKG?0lTp16yn5&o{$$hCLga
zVfrB6#CNbDyS616@0LKbx~Tzv5ZHU=1?>7+s{1vZrEfS`4WCqEFsgyY&-<%9f~Cyt
ze!PU^>;7CXfJYziwW)wpE=N`0gZt<0q^d}IFCAw#OfS4Qy9C}}qV7iKFER=FYdnS1
zqUsytVGdK%Cxx)3?1DfjOxF-_xEN-Qj_|((&n=oZ=E3W0l^yQzmq8c%0+_MiY^NJs
zx<&I-HoQ<fY2gT0YiZxlfdg`)i^zOLZUe4u>2N`S_-8U+(CQJ_&kQ)zp=B2tPpA_<
zVS5Yakv?O01g_=(E}abf@^7vp^AA;DSKNz(qo~c;wP1JGY|TVi)9*=x1|0L>e#ua{
za<k=(GW;@4X8AHKwUyOC30^K<a|?hebIN_CVK?#7Js07|$LHH5VQr?;QZM+g6z|%0
zn4<bth!4!9@%bp3U+C>&w{RBDe-shQ17EP%*Wd<kcx}|j1;_N!t2x5dJC<qK;GxBl
zP0n!Yfd*R^IK}XBkS)xVbUtPitbRAl(2m%dLxTzyzRa$27=A6*d}a;fIg_=9smx%}
z&zbcr@Z0u>0s63M?9u5z@a<-AJwv!(S5AKh_THiPLJJQ4`Q2w6PB-5WqYX<JG`D_-
zCBqsh_P~cVFRy-qi^s3D?S*-0oR1E|vtxQXO7P3*?V;UpZ#Xr(3Y>MExvvZUVA^y|
z27cexLh~NpDt5_24zA69ZcE0uzN^=KCkFd41jf|Ee(ir!Bw()*_t97I_?}W0A-GaQ
zelr;_yBczGKp3v(lXNBHX{BrUkMO`ZU8a(Y;YYih1-HS;CX>^T;Y{r-N$l{Zm{LA6
zJ~whv;xs2r<yY>T3u}EC?PY{n?g!n=fU|3^<T1nCn-k1a;m)F!#C0~5pU2jh6JZUS
zTPOd)v9jm-<Kc>JCfy5gR*gDsB-uWH_}&s6p?%oyD*Q7(je8p2-yj%w2|i>Y^?e4W
zGFAH?1fO9Xwi<_B>litFNjjbT&Iy>>T=JYZtZ`lB?l*W_#lMuZa87-}xe<7Sm!6Re
zY)8*w`2mhPAbi0NUd+F><0H(-?=NWsw=}J=HNf;%$BtXTx4V45ye8WVPn{z3Gv7-@
z?kj{v^t<Er;h3JkOpjsLmb!T@So=WbNHl!>*fU`=KeMJ$tTYxr^m4BanLlatfj^lE
z=HB2C%>#e&2s+II4`{dC{f+VA3?-i}<XO=^a@nwzj3@v8SXe|6zMkj1>noi6IA(<v
z=F!_|PsXG3g|#$ohV|(sIJ@EW>uaSH@cpgNwOZlL9ZDe^VUfBc>F?k_bMNL?SWsSH
zeSbs7!(VWts9%FWKM)Ce1qaSZJ)VH8IbP(G`HIw^{tKLhhfVFN$as56mFejb*so|^
zz8LN>=Xo&(OU>Mmehf2Rd89Z9U)ZNzc^~fV@7yp1pRmY2dk?<jvoO&LU*4>fng;u;
zZmDdCx2FkF+=5?6m|uSkAFFDYiG}YAxmgv%*1}a5!SL!yo8VLMc+rG7nQx#yZd76i
zt1y2b4}x>fQ>-h)?+d7_ufTief6FStKS#8-UxGE*w$QM{FPY5d$@W6^8&%oh;s>uO
zFT;OtWu`1Lqra`ExhoQuD~x(K51(Ijy+-nvOQt^?fm`w%PsG7{`>*``2B$92GDpKo
z*2y0`V0H1;FNrYs{b1U5SnGcJjq7m8&iL6Eu!d!XLo(dJ=(D2+zD6U)P3A`=+=yT+
zgnz5iPLS)P%;KV*PtvzO$h-}oxg8*z0-t#w;&B)DdvwA+8Mf{f5Xpcysh%~CfZwxD
z&y)ETLErU5!eJ4kxQAKrDWCsby<i1ui@=AlagB1OC%oi7D?|RTaAUp5lkl_r(hcPQ
z{30V%Z38c8A9_OOW1M=WkY^10QqV+{!b*GS`V3*UmMqmGctZ!zYc)8A?l8kM`0(h|
z;%<0|a^gi9eB$DUVKI11eSAEbA1k)AlXC|wWwMe%=5ORJx%x7~KR9o?zkuiH_dKMB
zDOf*rll|H7SY7(Tg!|pW`avzc!%DJr4Cc!mZ71cCA%6Hn3jFt0z&|oyBu|nlD-DkR
zrBRj(->7DfiGrsO^?oJSYxT8?WemKm^-4V*<}9pi4TDWjE!~cRH}0Bqz6y7L`0*zS
zJ|f^f7!0qvR|R{)Q@I5?;qcy1<)1v^v=;H_f$;q1E2mGuuA9|_L*d!;u`iCpSI$34
z_J{Spz2w!0uY2XoUxc63cKGPRRK3D^Uhw`6G#|)(-bu4f`~Bc8{|QJd!*6PW%H3f1
z2UY*cz}8AGVIHtGP481F*xzGt$q81`@f{I?2LxZgc7a!~zql;~7j+gEABVHl?3%b?
zu9?`N6YyMmdEgfK-i7nd`ml4EO+GWsO=F^D2#ZO-vLW+-Pdms8s=<y$Zm}ET-?r3~
z>hO)S-0u{y+aqs#Mc7Wve9H>vD}5f)kyU~($Rv0y!TEp7a-`t?8(Md!VG7p}PZ{`A
zM%Xf$A1rJ+IVK8=*Z;8i0w2or50QWm7$}sG`M|Vk!}Ef$I{ny}kMPjN>^fms=H@Q7
zE_iky<8B_<fW@@28a7Io$rOO&;tK?y!-vyuv2TTs>Uz(T`L26f^VrD#*S5|YyTUhv
zXs(j|(>KJ>8o^H;DJsQacN*SPWd3Sygp~~0Uw5X%OEvg$;JzmE`$jfvJgRVPR>~go
z`$s-y>&wGmyQ%25!G5V4Ib{B-@q4RacK8a-_f9e&El<7PfD<-rxhlPbn3CruBkUrf
zV8sv9<p;(v!~N4e<=f!&{T&oE@V|ZGqZ}};uuSVFcwQxPo`qOyr_2;1+JoIRM9BPA
z`{Iz5-|(xw8&*~@f38A^F1G-Fxl6W%66xhL6`vl$FRC2-*O5N5nzuV1UaX2Nq(-`!
zti{<lvVAj^J;~1@K5r2O2O9|}lKHg!b9bWx;k1a9A7uXBgDFj)Gw@_=K_xTne`NfD
zGt3p_#6jlcu5MK2KM9Ln_Wu9zv#NYCwSny}$?RiCy1KD!lR2z#S(%L&PBZCTIRY;V
zK4{zu+kHJhss)GU<s}Qiw*uL@_rq-Zwtx6w*`-r)yJ6S&mi1)*U)f2DI%Rn2Nu$3o
zeEem0p(rd|Q=z{Tu6(t3Xge&j(Je<DuFHut=Y^%|{_~N8FL>{W<c6)RncHRH9W{P`
zS>c0r3wM=amH!wOSl|csd8@nNC_0-w8rbi3)Vn?Ky3g-ED)^JkL?|gA6sk8~&oZEW
z<jHHZ{jj};@bU~?@Z9^6Cd_%n+ie^^r)dzZ3-|5Vko_H&{FAGw4c{rxiRp$nt(>PK
z<<oMz%*!sgF;~ErluxJ35T$ppxy0iQCrEy-$n<9TpZwpa7O*tE+|_4r?j!$Wj<Dhj
z$*D5<{{J|-?|81hKMvrjY*H#Dk&(SZBH2lZL}ZhwY@&pcC=?>2jFi1c-&FRhkh023
zija(q63K|)>-_$FKF;~v&%O7|d(QiQK6D&U$@|`=G684vVb{RUK+-;h2mjvBh5M$x
zzBt0iDs>rB;rA~>P6Wcg_orng!3Pxg<^{l?XqI-zz)V*?b)w*){N}(&Smgm#)?GOH
zDfi!CxTpTO<|Fvz@`zOsJnHc&^&y<SU$M&<7OnTbm;rC&PoVaJ+plkGO@nFiKM3xy
zS+tbvQ+ShZ%7`<(JX-eV39P`rVqyoY=4vOD!9B&t!)@VU`u5*1;G*Gd3Nv^Y)mUsJ
zELf~^!5H@bXFvNIR%K59q6@ztagQSX3F}RPBigX3`{d*Y*pu~Exhm|VHXb$%zYwR`
zs{||AS$zKro6K3q;So}WhetPr^ly8LTUYkOvVE09q<^DM7xNH;W$2j<snA~*SG}O)
zBOdT7+zdzNvjyyi8$T9va=?_@0lQe>t|kT_c6eC&+g(ODQlMj(Fw8c`vOo(<76^C=
z!deVh9Vy^l_k)f|!bc8AC9l(Ay+Ww(5g9Mosuq|R;T(@!%1ZF3>g_(i;nl?Mgu^hk
ztMAMtym4ut;}N(^`6l-SEIap#Qx$fmGGO=!ALyo^JqEXUm@4<c9GRwCWc)f9TKB9K
zb`E~H>jdoi^7Ys|_;bsFHXZn;QOt)5SVh|Xks)j*6h~POH|5Y6>cbJ$XMbkH`mu+2
z$#_X2a+Ws>9yq;M>i_vY<AcIs_Y+4qnj@W8<Nk{~@U}w%PN!fUEy?f;aPjN=3KlSj
zwpi^sI6^~jk2b8ic=as}96n>Is|M4kdOx6p&+n?wR)H;CJ~C{Cc}hO?%E2u^Tl+S_
z@`Hz@$ari$Ep}ps7VFy%dbSd9P#!18KX}uF$|^C~()-%Id02z_{S^7V4JlU#t3U8d
z6?IKA9vjm)bxy;%QSRA0;70d*F27)1`5zS9;rQ*-!{hKIr+D-V>WjDYRjnDgu;SU&
z5`0d(yJi&TO8$C$5^jIuWikP;KXuC<hi}BbYyApue;?dS>SIb!Y~nCXJI*de#?xm9
zCz(FM42#mXy>Pru(dT}68&hi)8BeK4HyU)p)J)@3t#FCvOU`bXMKJjP?<a>m+!@;f
zZ`_scP1?%_`3{>lk}iGp!%JA!il?Um{<p(^BN=afWIm=f!CNF5Ez9BE!a{7d@Q|)<
zbuOH!7xLdrczpODYYxn#-NRo2&#hVHkp5#p^;I~@KN-AhQzZQ93e(0?*ht>w>~*;K
zky;YTe@J0Z%{927KYZ&`n5)i$(-rQ&R+Rf3{-Gf3L;AC?b$>Vu;Rhl*xun0NXbbpJ
z1XmUOvLf$y(?o6QNhax3Y>}pLJVQ*{WB5D$uZh#}!?2I658yfDUF`bsb~Tf4@vzD(
z|F5LKj`@-+?h2nBd9hUm*2&;raf6d4g~z2}l|`OR5m-z68k-0#?H1)B25X*oIK&M{
z?Ov5!ra^p@)J8fXxa~}g-CuYjlkzeTthDQfd=DH!6{$hSFS7_%moC_NHF|~2AG{w&
zoPGsQk8FQO#;cbF++p?b_5XJ8i@~wu78}apckxjRWV|YSJuO`dpYDsyC-arhsdk)M
z@Dt5Veq_9oW&M3J1OBgqqURtSRwmw*L_RO*o=L{5`qlE~1X%Z(qd6Jx#xnMghQfDq
zJA{wGHh~pvAu!9!mRoAD#O*&3{;)u)m=PJTA`V=wzY2Fm@Y0j}mz^`8?*#MGUHzm7
z>&$o$I>6d*E*;Q?W6YkNIs^M2Y2IuE3%JRITEoTL>a7joCn_HQjN#e{CJA%+Am5Cn
z5lrJqd54rIjk!qHad>4^&y<vRAY*2qHf;G`?U^+kpF6Cl1|QN52|5qciI@hez?GUl
z1NQJ)(FcnM;ajiD3SHpNt8^l=uyAV*4XIx)Bgaz2;P1yqdOhKxjpdyp@QX9=r7ptN
zZHvcvVPgk_0y17@yq+D|0cRiOr!IzL{bfuU;2MVGJ!HHpw+IZUgBx6ag_XeT2N=AU
zs4@Sk++t4J*VDq&d5iFB;sI`w{@J*2z6CDG5;Dk#*?(Bpx51mVs0vAYQ$3m@+X$c3
zSpAX;V=s5p8~Dt&`WP}Ef2V4jegWUTT=n`sd|tz=q6`i=dDk}v-o52_Mm9<3ip&p#
zldEDpa$&A*hOD>Xl5@9@hQLQ`k9-e@bBBKT+=6$laV&<wQf6s=PViytjg6!|Z<NRX
zKEPe?$NfnDB%iB`Ca`p6gLW+Z^VcWg({NE!X=XJ1={0ML9_;pCq*o$r&fwX395!pc
z-cEi`$Nk8YV@F^vc0L!<pJZRQC{}?zTerN)f=>)2^2xz|lKuCKV8-Sjr)A-jzhC_-
zfQRCQTg70ikeybfe>3?&eO?eg>#$Hp`ZvymW1qQTtFVj4WIizbs#%Q#HmB76uLD-D
zpfB4FZ{1a`_y74ogg@t2xK21acL3>nCG|1Xu!Q8o(HXc+oPT)}{DkiQD(TNly^6lg
zQQ`NM43yr@!8v-LS%1N1<^ut<a8Rt>#;@=V5&sj5usluFfdQEH$%CCF{e11v^%D5H
ztj`tF-~X8R-&G3pWf*so=O@3)+Pg*Y`ih)v8_e#mBlr|<{>pi;1ui;#Cpi~Zk-ztn
zT>th{T8{a!$)2lwUcp;`1rMgdd(ZvUBlVA2U9}(s&dqvlP3mi|`2u|yY|*ZIkKErx
z!`zSI@V7eoDRO@)n?`hR!qa_adotmqrD*nG*hKA_cnTaHr|9bpt1BF~A>}FR`u(UY
zZ0v6*K*odMAAh3M;STY43lCsVDudUmaH3h4KB=$adqd^rVLAp`E>fS{=)O81gl}jn
z`jYu2#T}Mmad>7a;aCQosP42=3}(}KoSp`M5lFkk2WR*;J^cy)vF8k9hLuzE8Oi-M
zXtCHpNBmDZZw+qzQh1IER;gm9{0Ap^PWS(##PcBi-BbpQ=bGY@YRm9z+w-e*aO`jQ
z(qHgEMt3}!&)q$pxo3trHupChY<hewdK8xW{i%L0?5V%nFaoRoF5uvTjq;Qf`r#CV
zzDa&~{hGdOAAEM%H-#52y5DW`2EH)z$W;VBzIimP5#Hm$e4XU4*;??U0QPeh)+O`7
zn&EQJd^q@Ys-+P8pys;&Jy_~xOe9$^aF1})iGe+Ocv8rG)WlaJ-v>_S;`~77FM6|V
zSNz~er=gH-@NvU9TSs_e_i#Ba+#u&8;S6itY~Dcwd(gbdI17jHwH)05e-MoGu!mQD
zvQ}4d|DrZASe$|#ZWM_xz_(&Y1&v`Z*VNm;;fIg89_hku_W6}RU|*+s#}lyg>xUj>
z{=-&nZ=?kO<ta!f?Jr?ThDQZH6_IC3>c1^_I)enf-LN){%y+`tocknUn&!8vq&)|>
z^uFSPmlnQxzJ={4lcKm`d+&cjP4I)7O@3S9Q2IR<wXme_OHF22XNyE>HO$;SUquT$
zN9#{KhYKGS-KK{ZcLzLv3e!w(^;+JH`azxjJ`Z-`YfxE*e<qEDWWy{+`9yxezB5b}
zk71o(9~P(J=gZPNNqwH<qHy^JYbx4mlKOs_DqsFP+^!jxM*2%L%8x}~U^m~&F4CV?
z@L%&AgjIqjBuIa4@+aqK5Bw{0w`~yIVW3t05#Cg&SA7HiIp-<W0l%#cob`bN?=Y>u
zhj%qpXkUSOSLD2!;iaaZSKZ<6)^?S5Fq5&fG#L*+PjZP=z|wWu_GG*a6#s9r5-u>2
z<gkSqdDe#V;GM!AdgS@Eu;+GB0o>L?MM>sYFH<_>lVCqe-Ge7!helKTWO&9mKI0f1
zcX3qS4`!tO(W3&dd)ZN4gB3eDS7hN8^L-6k@T-iQViGV-cG5i^_)AmVA2L5mj}hzN
z3kTcN3vt1ZekEn|z~=Oy@3X;{=c%r4fN9q(o43N=X)eb$!n)tP`srcDg%{c5o3Ot4
z!g|YQ*rAuzYZ8vCo7uaL^%JGT=A9j|oLivbB0Ssh{P73)zXYLkb1<Xg@3k`cD1T%8
zB+Too`K|(f^nT{V7+l@w{5%&{ZiosTgf*{L-pGeruQbYkhM(1ZaY}@JJ6)W+Nd6D}
zat~p)$S1t-Vd^Ojo-p`>zNK+99P4p=CLFfdQOMW`zdn=s(GTWUv{oU%?=)yKl5q|8
zrm0%2fd6r=-gSnL#(N5vz=feQ=B}`c)0d%QxQ1U_!xCn<P253#pK1%mwQbh$ZU!TF
z^809VuED{^u+s1C>5pKpo6ihPV6iu`X5{y=DidEH)`YECOe4teed+T|(`dnJs$3KI
z;5YAnUsHi!T_4?j2mW`LRa*_#Grrat46AVR$n1v)R*q3!hb0YFHb}!h+3dF0;7#&J
zE(yc7isP}D;MiPCRZ*Djd(BTzSjoob1utyje3#c5zQ%AVa33tl?0DS~{ugt3kpq4g
zs_@hn{_Yq2iWBZWwdP<An>Pg)GQu%Z-49R0ySVT9Fu_eGRez1(Eu)b$RPYpkoQNJA
z=o?o-19NHL2ssX$FvUo0fQxA?DvrQGUt?A%;7@|OEb6ez(J1$&jacvN71C0G`3%Dk
zufWUmT$%E4)9sM|=3v*@wch=((+B@+^RRExlC&he)OTg>2YgQH(>X!d!pf;;8on{t
z&$$oYk!O+f8IGT*Ke-2XPSNrjfFB0EDclXmeN&m}hNYaIeBBP0vj{!!g+I0)tfzu+
z7qnT#z>522?rwq8-%Lf_gN;isrP0DCOB-js;RVTaZrflh*%98$Fw?zg0g^x8wVBZ#
z4twA`zY`t}9#K6D%O*zZ?|{d;dR~~pdonKW;eey7rYB9{GcRuWu)_>)L)Q9m*{ich
zd0<igg%~|JwKB<!T+d;JjyW0l_MnRZxn6UlVSZ`2^e$t;E?Dn#km(`?;=!{G2g&(O
zC_3+3g1=LGDQtz8tSu6M!n90Pt~7AsKjm|C@N0*mx8(ZMe~R}{z$#}&*4BKnp8J+D
z`v<I7VPy6X*1x;5djzIax+*XLr%)f)nS|Zup9g)0LzQLghTyTo>o2<C@U-<Xl0Rxz
zaeF81pFh5#AHF7d`{+A3O1rS-Gi=w}lGY60<BL=6f?GDQ_te9s>!%od;K_VjsXF*|
zo<d+N{J!Bo`!aab%Rjp9@UcWa&gbyoQ}qXHVCvoJCkx@ify<lfVB;f;h57KqMzbrW
zaME+#p>)_Koc>5TOy8fSm<D@j%#=NW`wp+WC&Koci8r6Z&nc^g9>8{gEL>CJvu*5_
zk#N7`rbFp)gU9vq2)Nf~q$m;IEHXHC3%<JTmhVIO{%lERAnblf%`OZsW7^f{3+Gx6
zNJPM2ByS(^fit5jGj781sy{Dyz}tQrxCg_fR`v~U@WFZU(QEKlo3_8_;g6B^Pp-p!
zKF5sC!TanV?(>E{dpW9%;WYMVRlabo?PE40`0ir({);fr1F!2E@V5OiZ!W>9vFrWn
zaMn&oMHg7aLg}(7TzshWG088e*8M>kcC*ah;RwI(y_`Z1|Jb6Z<^e}??D<CvJ7;m0
zUVxPzUEbgCgZ0@A4nI%$WK3n(XZTlxKGjuNL~n0eHSA<*A{_+N&zfk|!uraQHRS#%
zb7>D|!$)t6?Y#$!4*LY=!pgSi@)Ka0eGC%`uv~n#YBC%aARC?p_dZ%|$%OaUSI&jO
z7XB({bK${fU*jU+#HW5U|G~%JMoV0VAB47^AobzNV9^I}_+trOe=YobE35nkIQW;i
z$16CrM(nc#d_mh~^&RXv9jayqTkQ{uCiRb7I&st-?kat`=Og^gdR*r?OnK~W390YS
zit{tNF!L&%@;CU~Gs93>*!9!$W76KnON>S2;B&VWMM!&Gyv!s#c?J7n)QoJK(Y~2>
zON5NWrPp7EuOQt;*TS$F-Y?u!x)JGxC&QjJ!GBppMVHC(${(|o!IOS}>;J*8C3`(z
zz?>IzWEWuDi&K4B@C#GwmcMY9x#+=6*w*B^3h5t4MdTclVHJ8SdU8Ho+paYw!I}MZ
z0pxs_KipZ4fxF)pX_NlpZ%NnbX!w`2S?w^Ka{k+$JMfkGrQ76sO^-;Ahr)Uc8EfQz
zbWR-EeFGNqQfmGJYrKrVavg3cA5-jx<4g<kz2RlcYc#!ZnHVMQW!UJ_zH4pp@C)|C
zuJD-A3(XGrN$`~fXP8#mvZ@I#r-*8?gICNaf}3IgJ*Pv?!1c~D?q#qrg;#|sJhfVJ
zr~+oy{laPj$MIPgllqa%v#PBRi~joRQvzR?{Y0q?(_ZI4n+BJ9t;uP?lQn5#8SwqX
zp7+&ZzI{j1lHf|`gk}Z!Qfj3$sh<Zl=!a!tfA*xeq`sG(I<!*)W>95_y9FO|RPGRg
z)69?gd%?EDo}2jK$c2()m*IxJk9_vPO<H`rPr)NI0|h(b)z_h;MsU|$e8X0FJjhu6
zFf5TW{Fep}&wa+I1TVd3eMSkl&wcwN3Qvul8~f*t{pT>ndU5!O<uA)cxI*!M3<JFU
z=J>r?*sg5MatnNnA?^4S{A2G{&3_xPKJs;Az&BWi$zt0&tP;kSFbMB4-|jXFCo2WE
z^ul!WCh}vj?d|!HE_mBfU!ERVC-ZD&3tVDQG1UuG%?@8~hGYFdb~nO4o~QHb;psKz
zls7PS)rfr!T(nvIb}7l9Ynku@ZvJa)SPr}25n6l(^X{H)dII}9WC|C;YdT!fPl>aR
zeb0q++hzPx;axM$yV77oFKdl-I8!UtI|a_~9xqRXO@sLI<6+j)EjJ&+ZqEkJ#li2&
zI9<Zv665oU5hQ(!^1%pLT2%XQ7<{FuA^#@)psq{gCLFCYbSW5i9L*dHfX~<cu(|}F
z89uPv2X=0x5b}nz_w)I9!=stEl3n43y)O#f;M(!~=iOnCu-HaN*r07sgE1UoDzR(}
zYg7qFn!qdG0xzs#$G1XPG~t}0ris(=Sy2f!Ets}zu=WIOwUQOe37hpq{?>$tFJ~C+
zh2^9No0Z{izby$1>pCibH$47#5T@C-`RpRx5VNmK0$$d!$!&pOi!M+L!fVUAo^9}B
ze_I}2c+%y+j%V=EKZlHW!%lDF6JNlaO`@6E;6<6hpiFqDocqzOaKk1$-E5dQGc{ui
zTw&T<{|I*WzVVR?PPKm)mI9{_l*&@V%@O<?;$h+R1jm1uQ64>O%?a?$&E0QSV2Sr`
zO7~!)nMBDcSbc=~LoEEhcHr(LEI4-KXgK^RJy^IC{%hEiPV%32lWXaMW%3*(65(x9
zv(gQ4-k)zTlVS0=r0z!esE?0c7VNcsA|o4q?W=yN5I)6y`)DrARrzTHx!w~pO2^IN
zXTl9%o8bC}x;#^Oc00dOEu7&|?sEvHH{Isf2p_l6`6x%yD_m!*VM?n2Pj1*`TZzsq
zI8d7N0~dVv8Dm`qydp}Ix&iJo3L344%dMZUuU$g>^!Q|24%eCtCXT`9BO0IAz=jv&
zmqy{WNp@j!ex_BPZyI64arP7B`wmJU7HEK1Yn)z@@_Q|0{<0AEd%Vs`zRxE_g1Z22
zFV&6t52pMQANmkx>Py`B9Nw9KX)F<rUHP6+05g6a)C+?v(|AOmz!y0i3U9-H?anEr
zylou)hHk*ZBS8+iaAKOhN&x&|xaA8eZ};S`Y<F1h&a_(wJg3n_<pxj0$b3tJhv%;!
zIu8#BC>4_O5qaR9U=M3;zR4X2i<|t|U<_X?xLrc(%X7yc)~8_km{x%(xZ`S8%yIZ?
zcJohC{#$S7&uPOeHVpQ+;i#>AW(x2p+QmPlzEDK$FPDd_S`Rwig!AX~_6oyKR=55O
zfsYN<T^EE`-=6Te4yy_&jIqI#0j!&X;7!4%M_J*wCa1i8VW*<5LTY#_hK|-B*7aLq
zpn|2mHLhKPxsOQa%y?mbo%*7e<WFC;r=EuSn`U$_!WTjl)4JjQck)@@a0pKyMHgHs
z?Z)l~=lanlSHZc=v0h%V-Rh~;3ixYP<G2&7&l&U}9p=8=pymN*-Rk?33b)%Xytn|b
zpRH&JgvCS8_L1WS3hv!^1D2YN)IATcJpJ?g47^{j(#;iq+T~<u0~bhq8?lEY)Iw&C
z!I=prisbvgY18Ow!XK;s|FeZ9!m4g4!`ggvK6da#xZ02+9JQNu#vFFKSa?hv-r?}m
z-x}unrjR2F>o{%yZ46u8p6lm>tqpuCP2dajw-k8cCjv<l`fyl;lG|=r`}peONqF>E
zPuniIY@Wke3;yYUZzD6@Z|ozZ13&mIZo3t>`w*X_2KSn0HE)2=vmTK@3g7nm9s17`
z>#eo^+y`LW;gYHaIQ~=1ge=@7V#6^H$F`4Kio@}tJo;1coPZR+BrN%^vv?9_`FT81
z0AAZ2KQat62H&$4g1K3!(g)$m)33GJ;K29oJ-x8o*-hKo;k4^?e?GwG2HI{LU_Op7
zLhoP~`k;dw;V%?RIj`ZXs~@SquA%>4=>1#;izLx?48f7wIqX?*$(Ln8NBGj``0s`A
z2k|bO3-EIqMXFr5@9%n*9<2VH`@<7BHM@8IIGn;UdXMB^aG(FI04tf*TRw-cJa67{
z2$o8pwa9@Z&7_|%{L@h>E+`TtpTGHyZu&P|<`6hu0H;m!bPvPlN>X*m`8r$Ozxo9h
zx?KOGfmkM#<~uw|EfUlX3p4J#Lh@_M8}gF-;W)E-^AEVUu)5+q+^iSiIR?MioiQ7S
zl@(mqXW=c3j5X`<_PrrllW-l~hdpa>Qdkl@IbJcB2-`lCZ(>!OWFKth?p?+YFI{+1
zH3TO&bKfNO&)~N1{2=^^*^^HaZlaM17>Bd1xqcpmH=S=RCFgrN^-`2Pe6KuToqT`$
z5U+(QoNpxWHw_=)xW1|e>-p`W{sZ$!hFP1zf7uHPf5Mt4=GM*Oz@P~ECHVBEKMi-_
zn5Tz=XJG1R-+i~?>}AX4QCR(0O;tP`!o}x6t|xncwO<?@n(BP=J>2uzNHZB0(R~-%
z4&USI%1VOgYi3s)VZIONFOv3OCZ{9Q00$f!ih2Z7-!6;FhYML8EV5v!Gt6&t;cB)Y
z@+6%j{x!pO_%DkMB}xBf#d+i!%tPlE^cYrH%GqHKM-+AGWyANsQye#icUGAcWx@+4
zeE1Cy)b|VJK85hj9lnctaA2T9Up~BT@}bjF_-N0J^dxLNQom0Q&S)@>8HabqO(sad
zi>0y)>oAX`kFqely*cjG8tl-WUcwD~Kjiqqi2n56{h!>N@K%k>+6?gF^Bnhg!b}S#
zJ9oe;35u=T;dgoTmzZJRRtHsj_=@cj6?XVmYseK^*kWJeW73}|**%-u09Sr%b=(VE
zNw@Q^uj;5IQF{yRfmdD%GR(ljrfKth@F_u6^(k1ae8G?x?%V5HIs*GKb8v~k$)|#5
zhTx}e*qVW9vcL3nz*^=5ITEm=$4|y~_@;>jjW~Sj-JZZkcueP5=K)yIPOSVjoHH_Z
zPl}}bgr=6jt`2`K4#Ax{aUcJKRk$DQJ_w(#_*s_%`^Z23t^@}LtSml)FKkoHB;%dM
zUE{A2Fn`rycXe3yhZSo$+;jO(yDHq479JJ^2MFCt)PjZD?!CMLn;qsfJqqVMn$B~F
z({F6$(}SyQeh#_9U47<3WV}uH;WR!6vkGYGk?~lOjx)jzejXlOXaJuKK2Bi)FAn)$
zF@wEFkI9+Av_>y`P2i`my$epl$Dd}V*}zV7?jtAQUa21x)^NK_%4toQJHEN)9L&D|
z{#^}Ngr8BA%n$N=8a67zJN#?vz2N4H+3xbNd&cTsPq;$;<2OlofhzSyAl!31-#`q0
z*3h?;%vVH$zcli}I}dJmu7y8+y?2cTj&9%ot{N7uX#T|rd+*D$X@&nw)wiaDvy5NW
zzJsr1-R`7-7hi}Q^}}c6Hma_zVEhYEd)5bM;Qu-o;4<$y{~<Ub==YD`aNvo}1A{OF
ztGLY%*z>K4=PXR|>t5>^yhp+Q!!$fw+^RYVtJKmaFTjhgzE{4$-HJO_f5U9|UQBht
zyWW;GuD~;#HoTp1GXD5+8CJ@8_~0!}{loYt1?HC%8`Rt0zyY@`PmuZM`HAalb?^?J
z-@9nwA3Jz`YT(efi&v=NL>rsw=dhMrsQMQ8kJ$#kXK?Mlurvm^n^q}4A1?X8;<5wY
z+WDz17Z!iO+QJNTjIybx!Y0Qb-Dij8uRZm741eWJUSNa0=6+7!hpSm0-w}ivns%AT
zz=47B6a4U-^QP^0;5@&p+mFJgH~e#hV4(*N7mvUv2kQ3t!9@`Q56{BOfw_yG@E%i|
zl{2vF!x<+hSV`_GTMo(p$i&DT<`1bTC-ZwNABLf`@WrVcg&lA%_1T|h@GHtry$`TL
z4D(fz?sntW$PipD>pyM{AEX|<IRbOHh<IIqN4(@u{D7SY&GOE{fpZUjlINA3n$)sx
zaQw;nig`FXe!sH|+*@1qZxI&D4hiyy|K8+$vksqhEhxVV-<$YNw+YWj^Tv2F60X@{
z-c1Kr#&A-H!|4I<E;GOd*^SY$uw=4~>JB)LXXs5dyoDlfcqd#<6M8BM{<CFg;U2iD
zKKV`p+~XLj#|88Is<WiQnTCh1D8W_!ZZnB6_r9k+hv9_r7F%+>)g*7H<1lkZOWR#I
zk$SRO8}5=9Q4fYs(rU&Uz!H=Dd~U)OL8Wv0u=2>wX;MBpER`oOz?zq>BQL|%FL<7u
zgL}``ZE}S<wd#*thV^;l+#F%vXq)fk`8gy*YULvA>Y=L<30psW|B&3jJ4t`PN5O7Z
z&VuB4mS5uh$n$=s5=$(}Pv@nzhpY$4(G_!%@9&Hn`|m$k#7i^G8)k`3H!Oh}v<6rL
z;KKL6_f*2Zwdu!6c~G}LtF3~q&&huz*S8vx+b)FlmbHA-Ci4B;Wy-_^VYc-)1$)?C
z(I#9OzL;(EnbZ#!x^t6?u-|O2{%N>1w#lEYHx*rYUug(mUv2uV15bR`lGK5nBRM?G
z;pL47k~CrYXx4VJp5>5U#H0+Hi&>v_fZZ>L`6|H1?@ra9hqtR!%}T+Au8~G$eU1NB
zm#G9io_)RK5=>F0-^LF=P=0Xj8Z6lUbkjcAHuP4%AM7R~afJhZtDfr?25<g5KFkKs
z2}HNvhJymmo!$z^{Kz?z0H0po_L2b>bPBJ10J9cH$!>->ZI8bF7?xEYa@q(VN%I^_
zhAmFpd|g_`^S8gJUm;A*xv2dI9>_V-mk)c|de=_Fou9SROJJ&m>iHkA1uGxLQ~0xr
zlEVmmfu1q09*#U!*Et9$3=PfI!a0I!$9mzC)Q&2$UfNFSf2|w-FC?A45jIfVFxLVz
z$6hMxhE*TASTw_3JJlJwV8)HVI<N?$vd5OcryuUW#Y0sKSO5Mc{Rw8)&GLN#hp-hk
zO~5WIYu}#2)JHw{k@efznIO|VIGj^wb{4*|EB|f|ykyR#J45ojOKwVm)e}m-{)3&J
zy<8r`MHeqBt-@)u%R@1+ZW-+ddaM`UOOQMs1viVmlAwdxw94v2;O~@gt{sDK82q{5
z1II}S@70DMm|vK`0SoL)FENF`MC)1k!;dN$jmi3TNJh;>Fq{+;GT{g-oQp9Gf(JvF
z!<=ES0E)pdc%RrMuB&iV%j;vI@ZrRt_19p%S;;PPKDj%cjmUa?Tf?wo1ROszyLcDg
z`0IFc989a~9QFtvJ~=HF4fovoE0zM^zGYOC2#XY7sxOA?-M<MufcvfK?EZt_7igC}
zhJRXzF4n=8Ja0J2{Rz3cFYzV(?wn{&2CQJ1A@%{zI2XSy6|V2s>ga^el`KEZg}3es
z5&HpaMywtp`OR*~bxgrZyDS<DVA<8@XIJ5`3ds^Azjucl)f&9BW4Yo#Sg2B>gA)54
zf6`)Si{XTjnTyo$b(&wkW$?vPcPducdOz#8XYlCk!CW?&{jrBzH9WW9mr4@0dqKxY
z^2=-M=I)0%&f3P4`c?SlScg8G!lLC^4o7K;cp8v&`Q(LqxT`x%>;`OMzamizH(b5h
zLH3tuowO@SeXJ1T<|O-PD^n4c<a`(AWb0qT+tqu<$?^X5#GU#8zxt?nlGImQexLt3
zV7Z-(4TW&-QujSh><8xFWob`>3$@~B$bMylTCX~(e~VMEZ-~NqdBgdU@RLtB287{<
zVHtZ#{fi4q^*99ErKg6H`oqFx+9n5|{m<^7FC1I#bmkcR=Zc}dH$3%yPt8$ysf6{D
zD||jEHH7RhGfvTNae=vOPJSc%%k_8K0`1_a8@k>Wa7cR2qz$ZW_P5gv)^u~VHh~Y`
za8D-t+Z*(aV~k-Fr(Mf7u={lm8a=p0eJ$J_PM#QY(}vgIrB1lQyN>35Q-uSrZ7I17
z$Fv8tslW$VpD>aA_PR*Dh=cI!&HiaO;hQ?^^U`qkVfOVv__f>{2NAg9ir*Wuzt7^7
zlq>}Af4OttZFpmq9WysP`?{qx9*%C_;JXKYT5x6u`Tw#w&37|9VD9Ji*;#NPrK#~Y
zSVbXeQzrcI3Ew*!xcTN}O99Mc_kE2DzRz(*C?6iY_|$W43G0uC=&LH=i9nJ5W%z-6
z3|l$eUi0_F9849vEB_7bbp34U4BU6&A$1e%GQMB*J3Lw2*U<(W>>0NH1_x)EiM7I%
zlTW((Ve`S}S`x3p_>b!FM>xe!gQFiF{?qfM9X@~5dvqA4@4ou2m3;ooPt_s#u9U86
z1Kcg5)%6pWi@#e}50{^*mYjvZ^4J_Ght=Cgmj1vO@>VXC!ptnj#tU$DeCwAYIOvWy
z7kQuO@Gtvqg(UyCF~1d9SzRtT171AMwS~m9lqOqEr@-m@cN}TqAr2|qczFCoiu5*O
z&bqk!@O?AdC?>dqB9`th+;)cDlohV&;#3NURrgMA+X1hxGz$2^m#XGI?S_LLPMG_^
zD(<ES+2QYnydCZ&eTU@+9@uXxXOkOz>QlYNUKoE8b>$o!5nQ)V5SGYT&$okvD?<kO
z;C7?jI74`F^;)(lOtnF%`6Mi8bHs+kOY0VXc&Y;bCo3gH;+fg!PJCB_jo&N|iIMzC
zOYLGXr_7hU1F(~?*CtW;MG{q=Bz(nW?hG@$QTS`99K4j|6t@+ol<-<6$Gccqd12-+
z+K-FUD-s_a%_;M63cmG$S6dvWcKy@(1a7;~#Z2On1RUHcis7xwA7#n)8}1N#wFkC8
zV(ZEbSCpkja=~wROuZ%XM)WIAn_1y^)K@l=^7#B^u!9YDZ>O@RhR1&9Xl#XfpTyo@
zM|pBHvoSNno7@C{lky&47!0O`9Tm%jN&Sd5(l(@r{eSC+%)>kBw!PU1KPn!snSy0<
zF2`<$hb;nj|A4*44%4nKqQAU1c%ceD)27i$h4j<|Vhki+NQvT>6%+h;Ox~{uu6nv-
zk$gX^NFe7E*q+%aa5wBXdLx4TpWX9IJ?!NAuD*FKnFfn)WXlqOkA;;!j)o7ihAD}_
z2&_^g|KE3|qqSKY9(}#mXbFciO<1YGm3Do+q(3{}ozi&_9t+TQ7lTW-&nKzDO#7|2
zOTccFsscK2{A#fE2Do@D-K-J(G2rILjqsSExvv#GS}Ei)hyGmTgD|r#EWAg$?I#?&
z+8b;N8?kI>C*#4PE5o{Wa9)9wH;Jzpxpn8IIV{^AP(<P@_@)f*TEgiTne?UbueVDZ
z$@kq@R`<<@@e)s>32f%_SSADh6Vw=_2?v?~c6tcE%M3W71+%pAH<Ne@iod+C$@L;Q
za6=4iW6~E%u5YiGFxy>N<6h0QAWX6E_K9Ga`jJbyFf28tcb<%Qo5qi`ZiBavj7r>w
z{bf^hNO=W1J5G{#i)4dAnKhJe`_kX1Bpze>kfZ}CZ#w2fTf<@ZrS>ns;qL~grAR!8
zEW>Qk6l_7s*IfXc2pvDP0Ea9-(;tC%%VcDa!`VC?g+p-n{o@>8;m59ZO26QpmEku(
z!+ml+Nwct_w(L?T+?9FEZV^`9e^TrN{N{#5{Q~@ncO|tMemQZ#fD+|pmBdfi2v6G`
zDc%HMuXyiY4bNETd(*>vbcUZ+!UAgz`$@cx=A_)iJor;2-!c<Sw^Oqthva`Md3p=X
z6gPJy1@6_o!^Hx(Mg6<-2wqW0>0^eQex0(7fS<VhN@a(ihgjYZgB#^m*4W_W3$*k>
zaGj@S(_T2LeT(u9c<n!v8zlZnbMBm=J3J8dP>aMLx%_spaD_u>3O4b;g4<qdSi)AP
z$KMITAqAL~!TvLgxA<X=2KKYsu=$Lzo;W<T%=X|Ie8^1Qp5%Xaont{99`kn;Bk^CA
zY`cWS;B;@lG14Ahn7cD`zyZ>U#RuTck&Z{%;V=I^Ym|i9JDoE&z>U#OcgcLC-@*Rl
z+8-Q$y6+gtKi^YXKMh~C|F%^TUZZ}x@B>bmT6jz1&z9V120y`?tBcX9@M(or=04a&
ze|z3xxIy-xdo6t77VSk6-}cykHlrFoA|!ZQ8O{-y-IxJ?3}Qa132&|#lud(!yk#z^
z!EtH>v7vCyBD176>?zm!CK#4ikkizFuZ6tjcY&3M=$Lfjk*}p@PO$l=BSB<-v?;_w
zObfQPq}I`c*%-CXXu`XOFZq!3p>L7fvja|J;8i8_CFX7XCz;{Vx>+G|ewt-Qe_9vN
zfAd+{9)yjAZC|#-Un!2?BlkDpilqNTcyD-XGbvxW!!p{B;QwUfmAK%kyr&#j;lfS)
z-mGx4LGk!Cc;Bg{{Up9kH+J&9GwdHA?#KY|dpeZt3RAs)!bjrg7~bv*v4qP`XjxLg
zELQY}*6;?QsET#84^En_CS%w&P53uyKNtF=V@zNLkIVXhV1Hv#8h!Y}N9NlzFrCAW
zu9NW4x993VVArH0)hguk`KPav_N&Mza9a&#nkecc?Kh&o`ky>(n{2@R3C>DSYF2=~
zI*Qyr!i=K(m89Y5i>GqPeAr8xj_v@wCFwb3J3Jr$$X^s*5w=unf(tq?YKz04j=f51
zfOXd>@kfYQ?`U-Hs)h}2cHa?z`}%tKSHa8y=hr!5SB)UYXRwQg)VsYfwchWhr|>D}
zSITU#cXrAK(m!oxy-m*!pUvE9l?yXHXA9T{mrT9Bp9*s=_33Pfrv{bgAHyduT&Sai
zQyU-KN5Pl9zntCzm+$3yMf%tA8HW~1Sg@{hh4il*D)z)v!#9}BO-cWmwK11reIDay
zR^8i6@C?_cjEzWtYoRab1rNH1vn?Y%>CKA-JNV9??&5!N+^F87E!=b2f^Pv<;(u|$
z5T1S-Q~4KO%QbF12`BE@CHWIhsjWGv2Jic-)btzX%R3*Z0?TQ?RQLh^dmX4O1oID?
zJtFx(ha5~6fcr!Hna5$KskQ4gFjGps$}Bwl_vIHVIJ-{i`FFTs>U!N6p4X`4hli)(
z0(C>q?{I2|`RP%Z!rA;y8+`h_WBDX}Ea?z`E8ML#BsL5`^i}S74#ze$M~=bjfx_a?
zV5%>Qn+M@_Hqnm{;SYuz&V7S7FY(Bd_%oe+k5B#Z<0n_LN&H#z*cW$_UuV&q@(w(t
zsXN*OJKt)%><hoyp5ylkE|==*x&rrK-TCu99P~i!D2X>S`)C#14ZG$mW}JslXun-<
zf#2Pk{A>+ZDU3I?!7(xGhpga3*9{Ie!UhHA1$uD6L_kL~oWI+Lj>Ml$9+)^%4_~0~
z@l%99N>KH`hK~=e^eMmxZaJT*g4KibnPuQH4KMZ@__uzKyA(X=+;{gmEVyuRm<O)7
z)X!HApXPT`;fDXqR7!XPKiap)XBRv&Eob)>4%0E}Wrh7_6F=s{!5NjuXkZKKK-WTe
zOma1g3Z`Nn9?pQB&YWdi#Ck_TdFhoLSpHPO<puas>(1%NFb7BD-T`<)^o4FFymgHI
z`e)eq#<rIa;jzfCXR6^xCr?kO!=wMMZ6fPGMqKMx3Sc(cD}~wcA(7*K|H0uI3@38o
z7gGy%74Xf-6Ln<$>aeNvay88NcHm4BysE((Oztml<Bm?U{v~90efL}V%i~905is9X
zk?aq!?5rs#iC3dg5vBeJGynNiOV-<pbv{LZg;`m4-;{@+p1M6Y16MwJK70@kpzJm$
z^*8lE?Q1r8R`~5LQh)nt9C%q_?^Ddnq`s*>n`~LfdZUe~l_{yeEH)`3YcS`7^wuGm
z=PhUVceu!^S(Mb@XuYq}qi_iwL+Sur<Zb??6<(~T-$0I6-X(aL#A6v1>v)m+t6!Zm
zO5&+BjrVnu^PQjbIYQPyx8AbVB-c~kcAh^LE}_x>fBoKkLjP7Y{NhQ_H&VYFMsprJ
z!E8gCy`=v4@MNqxzy}Xq)9HmdMWkMez=v)OCz1BZXu12W7~JbnB0%m3o1HEL3#_G@
zc#HH8b@gI}tnd(r%eGZ`*MKJeArkRXu~Kdn=$}l_b1hQ9N6u2O(83jTt>@>kK2FWj
zc9#+UZ~tQ&vYvi|DTAE_7LNNg(FOO+Z&up_OJ7R4(*twmerYBB_nyv~n^Ewg;QOPb
z|7ZWJ`Ry*esriMe7+iei7Dou|X?ccM0%nOG@w)}5T?}}@4{zAS`|KJ#ew6==ApCA?
z@b;_lE%77WTrktcCLJ$0Lv8dCH!SZZk$({`UZvQ+3;xt_am10N>p%KT`hOc?*1cqZ
zf+ANjj+EzH;o7kaunJ|?J97WrZFW=H!K}q|0;GRn4=rtVg3X*vtw{Zh<Brs^hkqWZ
z7ANh=eQo!47g(8{*FFobm+>wp$KUX?>7FCJetF|KiB~F!u`qXrRUH_zjbZCM!RqGl
zFk|wd9=tniC!-~t@uTFC4qSfu@PZDUHK*094u{h<*66|~S^8zw;5g=wQW|h7qo*5*
zfAarsv3e91*hkw=;-Bd2UEG!6W`=a?{V-$qw7d$uk4@>k1k4rqukawe=V#wz0r*hQ
z6>oW1Yu0CdAKYaW@<S4SSjsBL2{TRpdnN_P<W)W3fMpNU3kk!~CmyI$!p`qc-I9PW
zvmZ;{1Rp<Vy~Gb!26O35VL$B9RG^V493k{MZxWt<b*GsZ_Nnq28HO9=Mxyt@>jnzy
zWWR3P$OP3M*s<r6AKA}ijaTg8gi~!&`+H&9o$5ze;JaOFJ33%Fx@bl=*xg`@R~!7s
z^!^Pdc;v-@1&y#+<X7!&FmseZOFeAdFrKye8~saj=jIAnC12Ei37)>Fbh89*{Uxr_
z3)js3smh0a>zru&;563M&sng<{5kttn8w+5=VLg;Gg-VI9`@urkO&*qMBmAVJ08xs
zM8kG7FAa0yD2K1DQSjI1>ZTNUTTlTNiRU_cXd)^N7FAC_7Xtf^4{uI{kLY?lz79(#
z(6%MP*AF;aUxgD7EI+>k3#KW?ll|9OtKHYbVa2z~e=ow^y3D_W;9CMa_dCHoFT|^E
z!NG%kzev27YUi#DFWC0+x)9m_O?)otav4^aV7y}m_m1!lxxfvB6E8{pS0dHHJU6)C
zc9q8nPNx>;JP%WE?l;$k+Z+#$U4UCX=s8II*HQs{`)N4(((EZU_;V;vyeZ7wBDzx<
z&db~wa18d4V$mb}=?2T2wY1?751TDAaO<xjNqIQn&<RaZSgCek=@7j9yZsm!tbOxv
z!k;;;-#=_%BK!S9^BNuV@Pw6}BoBOUa<gbZ+$pKIC<MEgGo0;%sRVzr?t?ily{)N*
zb9mbZ$nj67cPv!HZ)*=dCi%l?GrknS3&vZ|?S~E9vv=gff4nprNjyR8fA>Pu;4`~e
zBFOn)(~Pc7f%O)y>5}u8aypkC30odGy5lf>Dc)`%0zM^G*d+(sJeO;{3bSr;Nm7AT
zd}aRm!f_UlS4cboQyHhnMYu@A>?Mf@_;#E%#~sd3zr&*ecTQ1oT!6U~RVGM0K*q^M
zgL7~iwVRd>Tx>YpXbE4Y-@DZi_6zO$XHL?CeLGITnm_VJwP9m^-Up}Qn$koLEtpE?
z#3Cu*D{R40DzM<tT(u><@a$rf6706d!D#`%^R`lug(=D_znz5*zG+^RfxpBsW|I1p
z`-aPm7xtJ;ce((Nwou*Uh8c6-y(94iHZyaZcfni?meH<o;maNcR@kmDaLyUlIQpu1
z3%sPwR8H!5>SX$N26+CKiH`^DrGKq$<rl_}n9s^Sa9p@K<ua`FlW)Ui*!_ph^f)Y$
zn9_I+K3%(&Zw#)Af5lJQ&$dVZ9t^;m`iG{2U>3EWw$Je2>1%}nFpt%f7w_OM)hW+V
z_-{h+bTj<#D??W>tl8^%rXIeob~*7btU7Wuz81dnD|R^?&J2`cD1}cmU;RY-6H7i0
z&La3;f~)UyIQWrp-V2zcO^mt$Ugk??ErF-Y1hX6AJ$bq5m9Wygap@jd;uYPtGB{_~
zR43{G6b*MK*TISgx`~7E2fo_Q8hCq*(IL`*28Fz_Zh|+RWpDZkS3cX)`U>`^7CAo$
z>+!Idw!m3hCo5>tUsvf3t~SCOU%8mk!xrl!q3tl6&i*kHKk(dkeSzE$i&;j^U2vA_
zsslORu19+kCE+bIw;9RzOS}JC5{Ij5LT@~Wm%=paWMOxHsxoqYny##S55QWcl%o0Y
zUFBy5B%WaX{X%>;yiymyK*qZc@jncY;p>;1KWM`rl^xWR;r%qRQd;o)HHXqzc$I;@
z)&xHOR)g;zJgGRyc^XzK(Top;Wg<96t>99ZCvCy7ciZ3*OY-@$r)vJNTBY`r7}(+v
zf2{}n>)aw!G+cXMOxgiXp}A;F;uVaoD0<Gq?~2<u=EM4Vi)WnSB^FJim$2xC%+2Rv
z_vj}Jui(-@@lkH@iyFRT{cu;_UTH_zZ%g9%XL!hOTkS>Id7Vyy%%>FjJ<qtn0leY;
z3vikIndwXLXW6HzBtBbpn-8xSd`VYMjl?TZE!r1fg<17&Xs9t?Q)TiQ^@SBof8@}>
zr<&|Mf?&%^#RDW>eE7z-FW2E^f%o0JV8tWn9mxIh2w6$uhQq!)KPLAl<9p0u5`Qk}
zXCx8{8yu+HNamM&t&Gn^z}z90>7wxZYsKj}n4%%fK?cqmm**wragkP>P8P1_-dp?-
z4v@9#P=pzRSw|D$L>EdA5+84IZ`C~={&4%?K@vZ&Cp(*!O43V4dXK@K+dHN5;J-Dj
zk4QYj`K7uGIk0E{8zmC&z?Yjo{{)`vUfXO28@GoG7sCRh&oa$n<&&;2Nc)SB<&`4y
z=Q{$@JkMa)+@TN7@Vye|qAK`Ax4!jN_zXwmu5x%dpLK&jeD!I1CTZX7Pea1V`w8uZ
z8rw+ywwp2*Bk>S_bh(pBdl~rfMsXhAVYL4=`F_VQEf445>H+I_SuoFy0aFz`Z#-0r
zA13!lJgdG;3BD!MW*iPL9DVP96z1ws3cmxVME~MC1}|@;VT*x%+70!C;r$bfFK@!{
zc<%iQfoX#(^hkM3T}{3A09H}aEx!$akRIbC&sz^h7&W3{_Pam7rNA5^`o2-{!a;@L
zG+1?&i7Ek(2{?K@4_5!GtMC9mzvuomi4TwxU}z%kZ<eOmrxISc;=7-erxPvpZt^^M
zs#&%=1Ag1GH@gMSEQ}E#<@a0i#<4cog<7v9m$*ACaTNZ3wA_H?_t>)i@EDvk<UUXU
zM^NqENcQimC&RXr{=n7piOn=@#nv5?26xytU17lUY~TwHizK+tN2izU&%b+op@UrC
z>OD0f^8D<};O$24M^#^S$X<BI#Oo1qzp7}H`wo))YySn3`tKabBuCyCt8JrLybOQh
zSo=qw-+RpFMM!&#&33go3~NOkNg?gK%Tr}s2c|#CMMwGr{*?TqWdGl_$lc!tUU`3)
z!2ss`Zc<_epWph|Q6FB)%o8w%51;6fG=Zs#BP~wB&5so$jbYpOLmfJB`VST(vfl6^
z{}rV+d|!HG8;KvdbK=5`9K4<5S+6bJ{YsPfAWV5@Y|aw?wNoiz4?Os&pv)e=JGJ}y
zZkTpLSBk7>aE_k|Uiyjtp<>hDbMVaxrOHLvQbBDyIbK%OezpO4Z{>Ym^8VfQ0fUi2
z_}Rk8edKzYYd;A-hxhR*+K}u08}$443)nnM=94;nQi-=A7UtTXxr5xVnF*Pw`>^lT
zmv;}quX)VRc)^zil$*uivFG-pmq~u_Ky?9F$0hKeA^ep7FO3BJc*R%B02crKd59m*
z>g@9tfQ7r2v&G@>r#=+ygZqY@>_p&Y56ie6@U1hALelV#2*bC`@VN)SzLVp%r42l#
zfV-Zl7m)IQd-}uJ`YihQ?XC`FJ%;<7WycJ>zr9qPod2fhdX&?!@&}!WL+}l!Sf6jO
zc2bmq8vG+HuxJ=Ad&2Xd3S67<hUXK^^*Kd>l=u9-#PA+?N32*PSugVL9@@|b2lYJS
zBju}kCDZXO%(S0B$O69leR`lC4!LuO(HY*XoPMkZt_Wdpc7$hor>dUA^Ue{KH{hdw
zXUw0#Y{^vY0kAH0VS6?_%B7bP39o-ql+S>_%++ta3%`!NQ<wz*-te_44!+o<JDdQA
ze?Q3|3rEf-8sCFC9tJ*1hts%N>muL`zS%8lu-{pGnOiV-3q==sUv&H=r$Z2Ie%@Is
z2WJ24{KXf3$>F<5;!D)Zc$j@)nw8_v3SjxOb<5}B=XwS{WWDcRwWq{6c;va`Ns{jT
zaoI}&-eqdZLedZN7v;*sifdW>$?;~a?^ErCt8#0c$@{C5WnbTO!+uN&-&5cn8I0-c
zGl)O<Q^if*U;X+`-<1OC`#c&=$o*h`xJj@L=^UQ_VnSdh8KvLtaNqz-oja^p{Y%dT
zKH5-xldKo6?|K<z3{xKtP4R@6PTu-@816IJY3~Og*mi2C0$l!ApNHi4d(-_-2wo`a
z{(c>v;!cwigj@W#W?Y3e-t*!O418Z#_=TJB`0MEtJ7M#-#(ktb^_|`1Hp35J9hwY<
zg_mVrHo`$;p4qqHgoHAqU(;BxxH{-W;(v<kuicr2t=_T<-GO;c*Dnsh6KlTH_h9ec
zFS9?xwBAqiNcoTDsYkto4RjdY?!y7pn;V+pSxN@G+wg{a8_wT?2Xk8<lk?d)CodHO
zzxjQQom}tL8zP(R;n?@u#^iqNdS}^o4vwF6xabORcVQ6Gg%8Il7m@xY{k+^CJ=lxB
z%;_wwd?a^35nf}8$tL|7eOY_1GCcI}6cy=jKE0;mJP13_?pGuIjj*ragdChLUcXM-
zPe(`0djXi^YPy0Z?6_Y1PzZKxbx+iQHMG8M<%Y+oje1D`?Nq+f&jZhD2^=8pdALhl
zpB?t`VDupEJvLZ%HwSzm<6Apfe=YI!jNA@)l(o>4{$%mo4YQrF!si@EA^7>er)>=I
zk1x?#WIZ<AtTJH>y!OkJl8i6&laq{8@H<`YYg^$vL$m3$@Y#Cl&s*S2etXy`;6K0V
zPOW1+tEbskv>B#vT7635(GC<G=2@M>^H})A3|WsgEti=72kYv8)t!fLikqETfGxL0
zE0Xv*+KiQOl3$%U{$VG4FPev99=<YgTE7Y|Eh|2=1V1ZuD6W7z$2+@!!Y5^w1ju;K
z_1D9R<X^Ni2`1~abNgclf56-gVryi+K=X0$rCC_qP~S2hez;q8;yX+o#@`(Z2b)y+
zPr_bTPRfw^$8hGSxgnUgUeWzJ{Qb_o>JfPOkxTnEcz0gW{(g9@%bcF9-+t(@S^W$T
z%r!P&gufh*|Mm`6zEwf#1ZzwmDQ<;721~s@5BID1Jg9>2UlQ411FxIywXK2mnHKh#
z!x4cFH5u^n=0B!}@FhLE+gY%jLQ|X;TrU`*>In}re15MA$LsB5xCC?ER6L;ozjF8Z
zYyhW3T7^l&aRD2%Pr;FrT-uWG?qt45b@*hwMzA0}#Q(%p19nTuALWM`yJ}kx!xb-=
zEy;Sa{H11F6*z&%p?W8LQM9+`ARNk9et-&QwQqM)fVoE`;x@zf{QZMcu;)aU)->je
zCtW0z<w*WZLb*TSL3g<l3AkS|*|H11R(6j00PJADb*&o?Ww3dq2>XRg9%>`btG=KN
zpK46~)DEAvDV^7Zz5i9Qyn!h?w$*CE@miv#<o)2dF?t<x{moHozsdW-{eowAlIzcI
z<CJNDL!X}(vxhg9in>?B$D#@r&%qTr30rGn8_Mh;H+V;C+VN7j{J+1t9xz2F<8&FE
z5c<2%2kv>ryo;=7Ct06r4TPg6%dU|4;rppZs=n|{LT(0G&yKr!LM90IcedS3;*~>v
zj^~i{gXtz$P2kf!F^B!(=Uux#8^bTS?>-^r88^E16nTE=IP>ZV`M!UbK9y*|nNC$@
z?l7fj?<{%#xNgu9co8-%$UH&ft7FCA{BeNY^)tfA^NZc--a04vQJwb>DY%rfP3A1z
zZE!_^JpTl^e_XSJ2cGJO2*IqsS}$6_QqqR6$n#Twa_3<ycx#X(?_ToxpG{AU;9I|B
ztjY72-{2eH({RbJWlj<wUjM4d_9%R$db2qr+%1|XdJMkpGF?FrtJNf>kn&U$So%Za
z(XAY!9aUk?rtiiZVb<2b0a9N?-R7g0@jR$d;gxd;o?QDr_ZQawd6t9JFO$5@P80BX
zlS5BP{i%vye>(<qB?$0|!Gc_z>L1~j_^DD!SlpRAovh!>ed`qwgf}JGwHLz&1y(rr
z!#jEP-Ts4T>;Fg5ea8dY1aJU1k`Xd8vno;uQ6wYuHjE@Y*-|JgGa)mCtRiI#$%u-~
z>^(9fJ7guJL@Cnyd;a`>?(P})+;h+K+<1;TM+SbxZFJxX+_u+ZCvm*8LkjgzVZ&^%
z7^3`fUzhtwd|$7so-`uLpC6~ODe-;X`irNVxL^9>jGo?y9mhT<D8pki{+l6ig;50^
zaXud(1UTP@zZLVQ5#>EJs;JK$=29eOA<pNd&FkHc@blMs<5IA{;jDu_tiuqYB?`aU
zw~%`c{@W<YMVwzG*?wB0{r=!OT7uzorGn>)_JHNZH<u5?`5{-I6Z4G|mt#8l;AN4U
z)7o&zA@TVA@bF^(e_C+a7VR!hIOpzLU!r}Y!z1&<UU=Q)tkOAH)y$}p1~$H^>wO9)
z(_aaqg<sjHkIBP2wynR(;erdVIf(WV*$n-93fRSn!t)r+5h^bI_bcjGA@&jxSaL@>
z$v^nSAqQ4rIHNM!<tKb&Iza0H{OvZY!UnwE^Xb(-_{WZ=q7}H;>*q4jUgNRD?#_3(
z@v{C!c9_vZd1W4!|KSkE0QY88l`g;`)%{=T;T<2MMW$e{i_};Dp}nYZ#<O|`=Ja%L
z_zUmacR_LtPI8PP`3Y})E8iN2gYQ$AufadJ!yE_TUDpy@iT16izfFfGVa+E3LJctY
z@0i3vm~Tn$S|v>9^Vw<`&R}S7BHH8C)eDAtU=^)tGNSz~l=)A3AG}7B&R+nRHt24b
z!M+>~W?8WRsi(~qFm3YYz6{v(u+YmFa6nP-%nSIU{Ortg*kCb>l88UEE~^v?cSzi7
z&xf;Ze!54%#UJTJ^5D|+s;`0YUa=1=#QtOFT=oaRPJ5|~3gNsGa++JP(u05#H895=
z8+Uv7!!?eCcktc8qhGCHv(0;aM1RCvtxy9C*vO5|uLJ%*sMT>9j*V{l?*q(p^Ea6R
zJkG73*$X#m*SlSWC4T0M5d9;{2X{`Z!GHT|m&RfB$*1inVV(U~i)P`S^C!q;;FnX2
zj59FV8o8S|%&vUDe-ZxKo|GpF4>2=JeT6M#Z1@hs`7Vl8#C)abM==rmVcsvb+`r)u
z!ltC0@Ph^INn*YdN8z$GJM8Y*r$m&8_Uww>-SCb8GYU$CYyCYpMF-n(j$0A^LGF4i
zdKB>E$;HJz@LK+XdQ!N5uhj)+_`BGu)b9m+FLuu|?1jG`b+P*epXM@lBFd`)%jwBw
zI9E`2gP5Q6u~AOrD{RZ!WI*&+@%7TyO~FU)<hY3btQ_CKjR`p1F4yY_Y`Ls+a}W;f
z=Taov8_(LerVqgWbD^n{u%rAF)-L#^*-uMZxbVTQ3mvdtpm~D~e5QJ|rXH@OZw*$0
z=O$Hu)xu2wNz4=X^NKUqjWW38)5BcieqX;Hoc0!ecW`SLF<;91%4L?9a7N$d_ZQ%P
zzFM_>_?k$ym^xhM8e9Dgj$UB<LDVlXv>WT`aPO&!*P5^xbJAEe+?^`!PPA{%DF0)Q
zf_0K&KN9_i$!k5q!En~@Pfv*U&E|FScR{dUUiuZH{-P-v$aI0LYiD>YVNOlS(OWRL
z#o4<=|751gPEA|5G9*yh1{QBKy=M)7KlwTRI(*=y<R4Rb?H1QH2Uy5GRNMrnmcHFY
z^mm4yH-4rIr>ab-d&Aid{}{Aj<s#|)JMfInhd>p0ILyj104CGnt2hVSQdD&N!8tG2
zMNh$R&L8DWfcr@rdSu|7U*4Ya@SytBGe_aaYsvB{u*~w{9Wgk%_)Ag}{Nich%0bv{
zN%KV|eBhaX3ol&k8c9<Dds7?BvBCQz#)c+gV`F+XdbmNj@b+i;DwFs}R=8aKV;%AQ
z+<0Prn-NwjDYn>x<zs^>IN?X4^#VKaygghREz1tSzL(WV0XO)+Z03WFdh6AQ=lQ~w
z5=m}YG5F<IqQ70?Xm7Oud?mlr=^)&b(JZ_lrme1JJOqyfOuiL@-K!_!iT{Iqh-^F{
z2yYx2la_%4J;z=W=X)-EAEg=0eO051INu%V;@Re~KbeIJ5&r3<ye;wmbhhHe-6Jr?
zTcNh=aKN;{4}LgaQl9xP+@1dLA(21Kv-_OA;rYq{Dk6W*r0$anf=iC5E3m+qtaii&
zz#2KSuV~>u@qY$k@a9*Nc^cS-YN9k0=4kzPg$!1m>Aw>VzZiQJO#%nMe=|a~kDlYo
zpxF3=>sytX91p)EvylA>KP>m(eguC?*Lt}G|2=UzFq1HM6Xybae^`7v13otQ_Q53F
zX3LtLOQgSZv*8m=&AYhs1ss=Ua^fSLSJTl-%r9f7W3casp9QBLE`;q9$fi2rf|Fj0
z#QW)NPa#`7Y`I56y##(&oe@?C4-WG0CjN&b-lkDo17B)fvnS@C-RDp~UJ4(7+H|x5
z{<HqYwgh&6@-Vs%9>^LS&xgDG%yrt})4Kk9^5CR{o6OB{E3@s^6F9c0dVqL8|AzG+
z65xaSVN#uNf(=Pl6rA!y^*8Z;-yD!K@&KmI!@5&M{MFct_h4$n_j^ZR!B1jAfv}E~
z*~mv&fs@0|8D_3$O8x}PrM^mcf`9EB{yPQ>+{|XRfzJg6*UZ3D4f5*OVUAzwe8m5T
zQol>on85#TtWSM~TlO}s8^I0VN|hJjf)^DwI`Dt)MifMQ_DYsoiWW?|o5$)Kd?{Xu
zSrz8Zt`yvW^R2qhpNB^-c?JK3L*F)3o`MrMSyYMfG}HzftMaf>Szpc;Y_{vnwc~KT
zi}g+7dx+Gh{i!4zafZKx4DOGq+bs+yGrf601E+pGbLKF7`={M96})&szKjo+>E9?M
z{?{~dwQ89MKHO2rup7>iE4E;T^+hTk@xX>0xt&b#`xd)(F2bD8lxSdO)up%m@V*HS
zcPjYP?<BSZaEdbX*MIZqe@cl?lz^GM*L1hwnl-sC;`^|LYNhoDe6{j`AJM*FuvL5P
z8*KQtb%JQ$&nT*TJ_m>2l+Ga9_gTpIkI%pjo+D($|E}(F@Mw*}tHHU!I<U`;(aIrs
zQ&x3O3l_^A67PW}Z_wSefLlsJpLW7Ljalu)_iz<&$nHki?kZhB@%{baL&bCz92olK
zm=A3Ev(lg#mcNECNZ8c*&5;7QSkEYl7=I<8QJR(sKX)m&u7gwVKF&>qJF--%8{o{U
zC}|@6EaUmTWN6PAxpH744vrOFuONq=*7n>?A=207cPha}n;Fc}aBG{pJ<&dVWBEZ!
z0&FG8tW2~w>1_{rhQfV1LTN;MoHz5&WnWmx&|V-O<|nyf;0-_8?;A+8S1u}qbhyB}
zZi#1;V66ywQfGKtD=+gY{OZURS6f)WwEjBLemSH;_re;c&*^DOgWqck^O(UW_@+aM
z_RI4BhP6y!Zh>!e+3@-28%??}dBNWtqP=n5{@JEBytkQ>x&YpLtlmKlt}$n5C&n+v
zb>4WU0y9Ul3lZ&=m)7pHE5Tl}T#FTOyqWlgQ!uUfezkIVZvJAe6fEY!^S%`xbczy^
zgc;0vMO)y`14YR~MEX{8mrt<D6E`^lxOZ{0cMM*UPblPq9|(@<Ex~)Vi#a%8lhw}R
zudoH*Py_>fN1*2(G2iW6D(5v4csnU;MhxECeP;OA9NN!rk}he$_X8Spzrj<l+SD$<
zs`;zD^Dwv66FTC5hC%r%I<xSDX!D!Ic+<}(+*`(A`IGA_#CTN01<s?xaJKwg4RhEl
zMJ2Nb7NAt<b%YmaKhbr;k6--}C;qSa;VZp=BkW;ay6OhA-_a?lhhHCZzC?_NO|J+P
zs(?c_AIA~%31Y|<n~UKyzf{-n!yHn#Wb<Lc1Gyf=e23AGqZv8yfoA=Wk73bc4D4y}
zgu513A)Mdy@Xb>=LI0;`0Zh%;b|@A;f5uH^4L+e0`qv+B@88NM=5uhJZFKU4IW9f0
z`2+I@HfMUkOh<O@+Jd)R?;rJptKG#P5c3C82mBJe;oiEuMPmH5*1j4#S9tU6!Ui!u
z{Xfke`PX2bLUny&e0inY`F$p^U24r!Vt&dl_WDW#_}W>{KUd&kaq6R*u;wti_YGKK
zck*L(*yOOmhz-oFHADL!Z17)mq7$t8<b|R#Jp7zv(*bT*SbZY{SN8{0y2Cz(Z|0@p
z%8MU3iTQR#W?M#LaO4A-QEzzcVnx&un3gBxq!(QGmYhNW?z5lY41gUxt4|z&#XtA5
z-i0|c9zUXnJ?sPr@4-9Tv|1@)U&rg0d|~GyrzbPBcwcJCV+w&+MTEOP!-5`}=Y3#L
zyWZeJ_<G|9Y9hUYPk2QEoR)VyfY^R^Lt1z^ywt4wUogB)iZTk5lV3IUhb=e`b34JY
z1|EFG{J+ie2~7vMaXeHu2wr}WpRWs7+Q)2#!yOMTC$-^J50$b|SfJ=@t1?XYQpGbG
z{;ierR}qe)c{UgcUyc0ibON@~PDvo<3y$x2m?;G(zrCbK%r81P%=JJ3-kJR$TOyqC
zwXOC5{O)C<>l65H;BKkCaB9(gsdPBcrrd@DKG;3+keJWJclF;G1AK3~Rrfhe%AL))
z8=he2d6Nax++GaY3D=$?b0y|SrBXzf?SOxV>h$Hoa`gj8wr24Cc85{75<U~j@@NCL
zbTD~M%t!2XGot<mv#Ct4_rM<dyw4Wkjys2Rx?zo@*6dU8q<>u896a7b{dyGMx7M>Z
z1Cu4|2!4RYCvz)=F<-2F-S%fae0*0MhY*~3t<tsvu9i3DwT6v5^eOUT4@aX~8+ek9
zB)S;xYO*3H{s*34S0Yph?|)~X=?{OoU{q2H|Kc{d(E_g)X81pcDNV&&n_zPZieD+P
zXH;h>vAzJ+BUYhg_`rO|9I?ItzlTTiBbZ4<?)e9Jso-8uEL?DZ*0Kjq>rpNDhYMZZ
z_=jN5OuZ#vcu#)L?`|UfxV)quykkU2rWIc26(uo%v-CQ&8sNh!YQ_q1{;VQ1vA-oV
z<0v_}aQEZ0b?~k5XjN*M<jK#S#Q)v@T0HZngrmah>xknwXg9g`a~k6vsyG6O<4;y_
zNLYi-CT0}cVY9@;{-5EQGRc3vutlD9@gyuq|F8T#9P;mbQa9`p`QM$7@cF#I-CeLE
z%Wi4ne7n}(mQ@k)71V!?z?T$i7c1Z|2I9KI@arfZ^VjgeLu-~P*t>xLVG(T5r0Puk
z&)(C*pDG8IVeyfihacz!$!5cG#wO9TFqiG;m&ve0b@-)aBEI<NsYE!J=f=xLI4xUA
z{~_!j`_N$xzND;hKL*aAcIsS(Y4#><hr(ClOD~Y&|NNsn!mr+gEz2TviU0MNP%aL7
z!^dsfgc;z0q7DU5_?UEJD6w8(=lGG=PB1rh8#NECr$WME4<8JOyH2bh;E-w&VFe4i
zznvr2Cva>(_`@7lOY%8GtY=lEe*gMq*y43eqYQlNgkq;I{5nYI0I?p^v(L|zF2EC2
zS2Bq8rg|dPvsGXRId;;su$k4Xy-M(_I3_<`SgBXdPack{Z5=1pkNVs5YW*18pjews
ztRFRM;dw|B9`twHx(rJ+OePA!*98o{Y~Yb6*T@9nd1jj7>#*^`_ijA!S?Qk%4zTFW
z@Ek69wn1C>CT#i1IA#}|9wp7<0vpt^H&VmRVl%gH!IUrjWJuvc`UVM4IM`g~=D*K4
zzrS3|ZZK2CF5P9ADd<PO4_rA}6TAq2$x^eq179VJbsT}a2RIG~zzS<;GKSzFVW(+g
zeN%E8_V5;X=ML#-!7zP7%ey8xBP_x+5T4C=l3fhHr&Z%6*0&VwK0o{#W;nd=bstV4
zf2ENNM^)v^5$l)w?=beufhn{9{dxf3Zx*wC469DRd>aSnS`8+~!5t)|&arSAcWzJ+
z{CW1d#8a62@}<%MIOl?9R01sgxm@H9EOPG0#WYy%hq38xxU2Ehu4LHU^5}VM_>}c<
z8?jzzB}1?0HF%%z-9yjd{-3fd#_%pFmib(G(qm|!5$t1CdgcWjRC78`8=e+bp&-^L
zRb?A*xdgAcE?5-8w`<PJtHAwQZu?8&&99#v&cR+qEWRah(NEQB1$Z_s@zgtb`R6#R
zJS@(BGN}?iYN;A_3_ieBY19B8IWbZt0kgc&FRz1tQ=F3!g30tXWqRS~RwnTW;s0W0
z<GSG_<Mv%Vu&_lh%LFWW_k$xR+@)&iJPzxoDbFy%znotdt-~8s#a^^<b&B-vHF%j@
z;5#|&T>hSx8S4l4wT+i=O<_D?wVEv>toihk*cwc8*najDd|AoO_zRpV@$s|*JZQ4i
zGXdY(_rB}}{7CkFR5Ls=^T;R<PCjsfs~hGt(tbj$FWtc#_^J)&ofMF7gq6?!lkbD~
zcw|(3fc2ixr@x1Dw0%s7^{m&LgO3ctB*j~!GjL`_Q1k~_WbV`5IoRsk7S|XorNDP;
z1)h*x*BF7n8c|JsgJVwI82$|3f2x|c0f$tZ&`!ZUS<?Rz>vJD|*cZP5lXTu8C&PN)
zu_kq`^YCbcT^2dKk6cRkJN&r!wbd^8F9Toj3e5QS1r;6a8Wh8{0qf+gHt&HO2HgMq
z33K**r6blCSKGLJg%bI@!6wtm3-dI{L{Pw*2C|O(U}2{mc6zwr-hHvdu(fZXDsg>G
zEuXlGz*NlU=G?H(=jCI^;F?6K*uAj5A{UPg+{NZ~{5Z_zb$d*ah_9`7T@sF?iS#Ab
zTPHhNvMLK#99cf43dfiF@}Gn$bErP6!PX87FO^|m*;aF6J$L_qPRys^7P`e9#_-Xq
zp=6>wAG3Ayc>#Mrx*tjG@AP!#zC4(eX@Qd{-+w#}$9v(oCNG$XaN+x}{XW30_b8Hy
z^1ik?S$5bL??-V3Rfpjb6HC@Z@FON8iG8rjQfj{#{PJm$B`;wcJ_%9S;kM}@D_l!+
z`TKF0VX%mr1s+csxNr<kWi#_3^2<txhE5J{QG5B4240dRZ#n^=6r@e~jq8yWEgGZ<
z)BiDO`vpgL^8b>7qyI7_^~19yN+n9LE~#-BQ68_pYYZg9t;VZZa$u6g^2Vb?`X#&R
z7jV||o!<pv<8qr+cleDry#ycporlrkHZ1K!MamAlEoql%z|9l9$_(&HryqfuaJn;v
z!7lg|-{h1Od@f2LfgCp1^(;C8i;r}!lfrrzxDSfMnd2)`e~_P>jYVrm;VqV=*bO)`
zLfhsrk)EXX!#B7><+HRfyp!Mg=nA|%5s<eZKD2vc?IT=B!NGnA4qHvSGysPVmxS}e
z8-A25)vz?n!3}=+FMp3y72GITdy@;cZDU=_hc&ZOsrd-k&ubFb|4Frs4;$Q6K^yZ7
zE^A3w=YaR5eO^w7tBOw6GQhWdsl}hdPTR?mOt5TL-IsVcovOow6jmNs5{iP!x`ob>
z!<9p?r^8|PTpjV%Nqip}P74IV2bS`;f50xXZ$J6L`x8FQO~IYCOMIU2obI8LY4}uo
z$FLhb*sGS(M|g>n%K<i}d1BWO{|;H}zX7Wml<PIX>6^#cuELLL$OW2UKNry+GdS=t
zAAK?0BkjU;8Gf#3Ia&e-rMWri!{_|JX%@gMYVQg!!aP4jc?;p}v_?7&_~CMSY&Lve
zSwBhvzI0VcJQogIy0#<-H(h)4EFIR{P3uYz|58l3oe#T~9POor4+`=xKZ7}`+?Xlg
z(gL~4EcoElR7awI>bqJao(#XbFZ|;N>a#sm(;aCr<9JLyQU6`sJ69Y9C(Mj4&%-kI
z-veUcb8@WeMExoJ&}kzSJ|Jun@d=(3a&HQQZ6zkojlwryy1ev+#cv%ACF*C%S{H9G
z*jKmmbPp`Z=5Xx>EHTRz)CyBRvpHr5pKjSmY=Gq&MxwQ08)k#?O4y&g+f*0kK3H|5
z2#%uSisXRrZJZG*gEh_`sbzyVKD<qN1q=66$F5J{`|j>hlXBQpnX~Z+{KQAytr!+>
z_ufAY|FtbYRz<{53D+5fvpU>Yi0zR`+?H>K&tDzOuZ8zK3vy_LCzns|s(}^vZhfwV
z`JO&)ZH8+sC|E0CZ-rk6n_z8OuluiHA%*;met5wzaJc~98BI<~<j3Q{EsHFeQsRmz
zQGZj)u!qFJ5B(y-1Yuv7$6KNB;=9nmv+x#EZ@oXvviNfHKUjuF_k<_RZ+>ss5++N~
z`gaTFy_qU)0duMkI@`it?3cue@}AP3aMBXKOKKW%7fwC7|D_?kz8e0g1LoHMoqQfP
z_|H?n9oCT!Wmbek;+pAJVam8^8fm!9IMbG>FSIt@?~1~==3mYJgWDA^P6@%fW?`qd
z;k(_R_4dQIyThyLP#<NE<dyNjyHA*M(ZcnQlto$Lou4lcGs9)S(oFZjS^~n-Ot3EV
zi4VKr-_v~S9I&+7Lkb%ByW+P?ME$7VBIHR5@4w#NNz|ubz73B4{e<^r@@v8Tu=gNk
z(;_TEdf|)+EFNR{YXR1N!I~}vmr1VPn1V+uH%ukqYxPP=6L9U_no4olwrPlQ5T?&g
z@+6)I%pwO*55NmkLdS^b$)gB8kw#d(<llGV`5_sTYFrPu3Wetq^?%-6_t{sl<_iNG
z;`xC8?t2u%nbq7)r{I#$g^SrRh0aXCIat$pojVJjJ!U8WA6#H_kn$0H&sAho4L<L0
zeIgbXihTX%JRI$xu+Jan@Up$735%W_((;AxcYPDS0Go@_$T`3x*Hgaez!X8}?CjtJ
zKln2)!F%mI^o-!y6YXY~;Wmrc!G`eezZW_6;4+12M-^CSW$B|ae7lb;{T!Sj^75Dw
z%<WLjdJ6s_d4AOr-WXaqClAwGwd9(?sW-Wfiok!^FWXqdv2GVFgy0TZ_NHrawB7u`
zKDfI-BfuVhae<wR52khDmA?UR#HoI#hnv2n|G5Q=v3l&MgO5Kn)pvq@tQq5Xz;1$9
zdVOJkK8xQZ@Us9WvAgi`q%FIRaqMs53x6`a@!m<|JAClaBfms=C-v^^c{r!>ta}AK
zAbI}ABz$dprmqavK0N<v5FX#jNZSKXu6(`K2j6hWwtf$P7>t-}gGFm?_x^<EI8{b#
zVU3LM?rX4H=(1)RVId!(y?*Ggq)<Ck2ybgrb#cKvU!--H!Ux|q$*aM^E_&<vMEt>P
zlj`uzKiR$|@B_oTSZCPY^MDHxzV^>W+7%|rb^KQhzmAu82#37~bfbywAKKVtdH^q+
zPURx@Z!7xVjKd$}gQzKk9>e>6`YPGrgLQ4cBjNDSJN63jB>|<c_uv^F$2K{*{wkH3
z5Bznp^W7C#_umSiJ4}&S!f6O=Y?VE-hqWb0Lqp(<qKpztcxZiK`X2mk+e!EeEYm$Y
zm<ijF)_v86$vm=-J%gQTW6jjy3;qcOui=63&uY%WOJl|~ui#-p_v5GFmR<h^*22aE
zo{wZ<&AsFk)v&3w28|?Kd2{sgdzks<X<IS)lz3cmC%jjd{nJ7CWTu7K7`)5tpTYsS
zm5VKG1m=|Nf6WPN6%XwA3SW~iU}l5=O$3>Jfqi&`Lg-=Eq!Ys%u=tOQ^EB{xuc_m|
zU~Q5^#$>RAXvyj}%yOP8f&|_pWTNpG?kSld-5A63Nb*lJZ2<av$>Pn|;JMF<2X?{K
zi5R{Dn=y(cal-UP>{9b^o@?s{J3R0D<HaXf_yvuaI2>Z2b8;BIbtUD#DEy7_=*u4X
zTr1-a1^8qC8~QGIk64<i9IRg+6VM2|*6bWogSpOAeXfOvhog?E!f*BG^vhu8%vf7<
zc+O#K_BGr{%hF^D^SF#%$%W5Jm-}CbM|XvU<-kl8GUHb88z&o*G`Q{0&=Whjbb>)V
z1%CZR|K|-@^!e(uI5=x%^_4U1yBzo7A-u1^w$UEmEg>g)2d-E7<L3syo*K8f4cAI<
zXWfLej~w7T3&&2oTe`s9nN1h}gMAyAj}YPH|MoxTfVmeuzYyDRc5Z5BgPY=*w}|cc
z)tDdL9!2{GxkD+j{go7Qy)9USV^_Nqd@w!f%@mx|X&8JPPW&oAJpr4l*eek6Z9IN=
zzK1pQivM`S)fVx8JK=F^9XcZZ=bhq4Z(z?ik*&UP(v^;|S8!<YGhZV9pY40DY48mF
zpj;4~xW<>60*AfvxJbnJK3PhB5AN1Y-4z0dJkgX4gfESj)CIzqbZEGp;kzOOKH;#2
zZmPNyEF633%3XLu#ruZ{{OtCH6nFU4--&ur*i*@0kI1j7_?UcdSoK!G6C%Hyn!b7S
z!d-p`e%iv<MO#)`VX?S_CoSQmw0-sL@QcXyM?`rzGWbiH0Zt3<9=Z(gic+Uyg425h
zqV-@;iJ#v|;B{v4ehoO;>P#IOOn)LKoG5Qj{a<sxkKlis4Qbt{;ZFg_y?(%_I)hHh
z!@ee-7kl70nbw>C!EybPci+QK1_|_v@ZOlrv0}LGwqx5l*vZ+L?hTRt;j=Mi*lN1-
z#uGSg+aZA{&s$=FPanfZz4MwxeBqt^LBX*1VlM4PIA`_an;;_m*mdg*u;8xehrQvE
zs{;JG@Uiy>m+!zQTgUHe!)z*tyKcc;43A~6z;C7p{yM_nA5#6$hm|Eg=1k$@u(AT;
ze(7~Mz-9vf;Z5Nt^2=ZA>Vhm>{abO!3~sHX=R675^B+BL2>()5Ut)tBChN&9;BU+8
zT&!@6oI-^OT;3nMlLBtaX>q#-zvh&cB8SIMD~l4>>+sqj@9Hq#|IHh|5ZCkIu=mAp
za5$~+85>w?O}$|bexdl6gedRhMaw^C;0UU>Mh@_qBk!!oU;}M2cB1?w)fqh=fmfvG
zoLyn#6cM^U*fzmXj402Rv@LQyFdc8pEK&Z0`K%Atz`w*L)BWHKQBu8kFm><zU!r`H
zU+ZZrh712_lm)|sYS;g~hC@rqSnk2m)6x#Pu-2RUutzYx{pGG~xaQEUxmftlQQ^}m
z@a$$s`cwEwf61*RSSaH5b^^TeJ7n%5%<lfaEDgTq%E%TApAhh5NrgQ(KZo6iR|VR;
zv*9ugn~D(l$2Vt@Ecl?5oVYLSLsc`E4~v_>GxdS3zFj+=2e0Hre{h8xc?z~)!>xG?
zJ6zz$2eb`e!6SOp9yj1_>qji*aL7@!=Qi*)v9XR4SZ;zc#sIb!U<-K%3mW;=>cL0n
z%05@ZZDzVs8ZgJ&a&iOw;7z-gIy})E`KJyJ;7lDp4Zr$XUEBuqpJk>|hP9pk-E4;A
zZdU#fhZ)Zb9(oVol{s=i4E{dZ7|;oC{w95V5YFzLSLlb^k{z1);h4GuKYL&`PmUsH
z_=2fI(GYA~6F9*L-+t&}JpgMx5N#uY)u-+s7>Daz<9}}tq5SGM3=hM!Qc9nf;3~bY
zM^o^}ciBvf@O@g!3!h*wr%PMIa785*)f}Ahv{-lu4qP4QB;v2SN#3u9g_l3{e}Tt$
z#g$dTznULy66quFhPmB`m&RO6i1ZF4%b6jBXW5u$;pgqOoW5|el&n5+eAly#zxu&J
zidKGA@GWKMT^|S0K0vZ9+X(0HpF7zPF9_1-64&FwS$g`{@LX5CRTKQ)&`-Vy4m-4;
zyB@Zo-y@g`5Bp_&B=VoRAy6+FuHJhjlF0uI8#cuV*jX@3g~<Q1njnWTID=G-v;&qi
zV884McT}fT^uaZnfgv8S*07*+H+*E6_11NmR4wYrAS~eGn`Q+wNo$7^`9C|O!fFg>
zSC^b7&X3xl@XQrhsMS4X6#gRQS*``=+6-KthGksGzGxEhqaGC#`Fk=a+vGgVs<Ps+
z0KaXgd~g<yipXo9hlk91$rRvKW72!y;Ls~#5_0fzb>-wT+;-_tmL#0~Et_FyAfD&H
zHjjzI1(}97cfcnmTXF<oHHN$m6_|7vi8c%Tq)bWYJj|HZ*Gvm%@lW}i!d&d?x|Fd0
zK8JB*m?wQ-+xAC{9}`P{Yy}@EQvSUKpHn@&W(l85WVc^~{h7V2ona<V&5m#I-&xWI
zC%7e2P-z|(NEh(A4ab@&IL^XBu{lHTuwy^V%ozOoT1)I*INR&+o>3ybtLln3{6dE`
zv=2URel;fuzVv~yv<G&0FufxX_Mlr3X@yIof4>WZA6oso(hN_Jx^v!#C;z?geh15M
z1b>Kz9mR+LRl-3R{KFo=)YV~Ma$z#A`)A@{zvx)@7qA&0eG`#Bpy;-$J$!Tz4{ZQ^
z*!bpNM|dhpvYt5J*f>@SQ&=a;=%OPWv%Z*R0Uxpa_QD=!{9L`)5bhtn{^$hk6`I#`
z4Nh6x^IZy-h`4>$1a2}tAT0);d7;E+1|Ku+k2wNcc+rLH!$Em7g95PRr*5Om@Toiv
zdlopP`}ra{9AeLPh#PKDUD`_qr*~S*vcraK%AWHBXipp$TIYomwgPizVV0@ad0eoU
zB~xraY>;htjUV<|(5mZ$L%yza?}NLQCvxlHrmNW>55ZA4ct&bq_65;M;&{}Ha~od5
zW^9A!iR10NJNF|WzF79;nJ^rBslYlD*7>JkA_>Q?&BkZIO4a|$j>7*57SKM0ck-k-
z%Mj_)Kg%Y->zl^!rC}eb+`=f>$~s#49Q<`@*X{_o^`C0;8F(u9LqH(xPWMUw0$e}$
z@0CBiR2TPJ4KCi<D(DGYe-W_Lh7axiuIB;&tQ={%1amwsZ+Czdx2*gx!#p9M{@B5b
zOC00+FqKV?gB9$z_rRs=a0L06PII`osVC10ZlQmpd>Q5|*1Tp1YgBeQ>BA{Le`{~R
zcMd(7)qq=q-0u+gM`l40%LVw3-Tsfn{n2;F`~H7$U_^WraepKaN0%wXj<Jf1#Qo7k
zWg>bKe(KL_8Vr*LdxcBEM#}Z&LGbNQDx{*YKjRUX2zYs0TU-Qwu+sIOxF1YQ_hlY{
zlRrv^#=`ds4}I7N|LN<SChmvzwx8!Y;NKr4lM`V4oZ6iYezDT?J06x|Yh9#=M^o?J
z%!Vs&H>vJ|V_kV$GGRB~xN0)EMZm=`A3j(Vxl97ju<shng-70+T5j|c<;^heHLSj0
zFXktl^ke0F5xg0Cka8JTJ|1|r7H;RIwpxIHlI*FehI@;KhbCeB+XlCr;ge%cR1<Kr
z<?M$>Sg!lA_eYp(UEo0{?C`-auOIICTlA$Jwmqb?uM^gNzL?$z+f$s>Y=^_%yKVQt
zX63Yvb?|22gySR}dc13YH5^%N)$s}L-;*9+0(<U$6f_6_d*$8q2F~2gJ~;y`|F|TZ
z2T$F)p}h`weA|Bf91cG6rQiqbaODGCDtxm_Y#(_LzP}DT-$;ZLC7yec5`L#L5lh5B
zd%8~yzM$8!5dyQ%J{J{*t!1<AeBsS)+CpczUEP||5%&4qsN)LX)4G@F0e7nOHU+|)
z^{KyIVB;jF{Q<E2r9k_e@SGUa!x)(AVN|;{9HDSwB?|6Pb5%5h?M=@;e+;u}{IoZL
z`6GPE<KdZWBcFBQea)_w$?!$x%S<}(B6B`l63ktx5Ud7MT~F$M2Io1J6|2C@y}iO2
zu#Z}bkP<9*>fQ7USaOK<@+tUO+xJsBFg45HPANF);^0OhJb%Y&>lobnn_A~3T*GeQ
zBm$d0{!056ZZ~L65rW^E@3k(5v-Jx1?1#NLHu$RGPYyh%`QV*o2fZrb>Mn{>HkhRE
z@3DGVq}Fkk1+E!B990X``WalIgQNVrl77K-Mx!Ytu%Pzz#yYGd)w*Zn1L~JoH*G2I
z;rXg=>a+&GQ}AvihyQ6_nEeW~H_7_!f_da)_bk9IPO3xH@Orvm=p<~xv?GQQwy|z_
z`w8|RV_4b^D~r7r`3N8A@-X3rpLmIe_Q9OGzGd7ngFVl78@%V%h|m!@BO=VO8D4!e
z79<Q;<aoV*2Ma$9QjmmOI1Bz(!m)pY5{|-O;!|$Df%pDBq$LAind(e^1sAc2ypw<p
z=VDx<;GYyVZYSZL)-~x5;6n|aQ^fYZQTw~ygss!Gp31@lH3iRXVJTO=pTzcTmy$Uw
z;FTK#1xj#>cgs05*wS>6S`ogytE^HVcHPa&;s)Q5cmAge|JOz8=mOWxSi300Cui&r
zdBHXzF6oN!$9jVRPdGo?mhA+ru~sAN50BG1pOJ#ASD(lE!iPL;%8$UMa<msi;4hu_
z^TM#(*3gb1cxdxVFDIP8b*w5J{;+03!U2=K<75wm-Ai>{8Q|8Bj@>aZb(n4jJxo@n
zBODFCc&X056E<DU{QQ_me?{f&4me;bSRo$voK&pX?8EmveIaiNeAi&N^BPR`WTfFO
zES<M!dkao8wmaSopLsKN`8P}=nKs-4|JpS>O^WT2^VL+$!D7W16aOImOO+4nEPNsG
zBI7Fj{z7%v5`1xj@6<QAf0x(cMcA2P-<vtuW8{0nCj29;Z1*%AsF$<$8y=i34;+C@
zw3w`@gYmw4{LI8hc=&!pH6<KcaZdL={3brdKol;%KOxfu4_Yd}7J-c)&lXg{d}puS
zI0jc$#Ew?L@e-6x60n2NlS{8*lI+t`%J8pa3wbZ$KFv>2im-Fn_kG#$#?-I#=i$`i
zhZi$p(fsI)v#?-cVnZVQ%OLZL1}x<yxB3K5C>mf;gCAF`kA}h=d!|~nU`_r7>JT_A
z{q})NM0$@^pSy4+kMD>9+)@&r=M86dvPkK}IX52dbA`h#*_KUUi9nHy&hR&h-1EjT
z=ab_Nws6!`Hi;GdFue7<HSE?abHx(&C-1vv27h>Zl=%j{^xpEJ39Oh`Yi9#bWZO~e
z!KRUK1e{=HjZG;X_;QW1uLCR_Op&JsD^!V}aED_kqlQ%AHu|a<SHfveG?d`l(g?C3
z*zsCsjy%lKvd1_8J|$ela~u|R{k10yZgV)QE(r@|dO3u`Nsr`fh2XH4QlB2fKc^(Q
z1Yw7y5}9~7QBo<I2flY<w7UuxA+vU2f#ojPxmClKHG2QJVKG6b*)EvzJBuMF%xdAO
z*a<&qI`p0q&a`GK9EG>rhYr)jZ_Qn4Mqu-frDO_tca?126l`=<se>FQ`IyKx3Ae}S
zDsA@SewOD6{{|cHTYdTqW?=Q4U4~!fQ!=i=p*hRC+wcj-xEo(#PQ^2YTk!3cyoo9J
z(V42V2SSj)-S6v$;N@F8()PiJ7#5^^V4ZJU%_m^V?i<zZaOG{;{nGHC9U;f+VZYNW
z4py-1AA!@Q@DHj+mg_JT4MkTC9L!?gX%GMIVAy;IJ7=uFbB3J{<vc|nvtqIK6Sq6?
zSW-dD0Q{BOyv_&anXww5gXy#lzdVA|zFxK>jyIG3=IMv9!?5o#alHCW^qWuNE6uKy
z#P*a{xOJbvXV{Xw-ovG|6}0K_qwxnhoiI(rU`;Yy@^LJ-5}q)(^T>j4o$jnDhkZUi
zxt9i;>^RMr245xRSIB|yjf-DMfn&(Lg=1i)9Pwg7xc+?qR03R*A}}QYug<Q^J%*3Y
zoYUuq*T~X>qTm*OEg@dGu;+35Jy_G8>C4w1^e0*mU48(&EYPwpz)Tr6Tts+6U#4j_
zOx3a67XedfrG{6*bvzeC?!%Xkj=JT+yGUG55yvB;^C9B}Tt)jVf!N;_$5r-p_y$#@
zCUHFNc5`P^;R31E7jf|70!2kU+@wx#LFC7B-LJVva7v;~Wg<+K#%de^^LJ`GKZBFC
zDei~CPZT^miTr#O!~f48jt&hEd;yR0GKl!W*<5eNpTmpQVrd>Qi+}B-LinX1dzTyB
zD>b)L0GA#*aoQd(FImYdf!S_wJKls3&YigO8s=&;HoO97^U5$)z<cr)gD=BIPmOMt
z!3>n<Tbl6IW&H!Sa88Tj;fwG<UgF0pIHuo^SpkkNjeO7uH_MtT%E9@yeadxk+KE&l
zVOZqeyWg#_>*+iChvDrZ(t;*fO1x5u9loePeYFcN`t;DA6`oo@$k7gKR`wfE!0aNV
z-M#QFhP)th*qP;Y;CuM{=%T}FH}Z1_i|j|ZvcD$r8!X3uTZM>UskLuw0Dfn3iewlT
zF8^_;AAbHNS(w<q(Se=kLSRybGgCx-+Ts!Cd+-CzP1O##Lr~-VRao|E4Cx1$W_7=-
z1$^n}N^v(#s&d8j672uS=jI^%`|XkNi*Q|7Uef^lezz*=Ik@3$wd5?U`DWViH2mQ4
zT*Nf|U5c#xBpfASU$hCE(_GX$4u^h@*!2gl^|Nmmfd|(EJg7s_Kl^K%|1cbMJ-L?>
z_D-O9!Urpi+U6aEJKdYqIp7Vo+dBo|#=$SO46shYMdxGi8>M4=>EP9IgH8!Jw9_DJ
z2W;lJ|D-Z(PXFi&3A|>0@S!5i)L3q^@gDVIV36v0c)LYA>?b@CAN=er96fQHWEtMw
zKWV4|`&92fvIr~fntG!S|CE+W{|v`lO5f0d=f1aeO~U&sk2h+;O6@DBhu}1^dv^?B
zS+l#2A7SboUom|+@<yj&6C60uGGhWi%rp#cfTy0;C0v2+Q=dD%hOGn0G%aDjyOPO8
zu)6AYjyZfX$B;P(X1*X}W&>ZfoH~^aUzd_BzYcFLQ5Pq}VSlQxjli}=M=u7zHg7{}
zhTzbgs|}v8an&=oNw|#q<u?!bcjAriPjIEhl$9ea_Rjy_9DF4CaEv`1Rda4)2HtC6
zOnD8a`+GTV3GTH|le`KGv`?xmz{;}JJlgQz+OPk<!v?=pRWHGIg(v8U_!oZ6<VeHq
zB+~V3@FdT{f#YzNV~raTzu;GR4L=-mr$pp8{Gz38aX<WOl;R{2pH}~>IyJ1T^lfDm
z4v$aupoHnP?__MiF<v_@e|F*gZW&)DxsU!53&qGa_;Sx2?O%j<OJ&{u3}4Hwt=oa{
zV|8PhlW?KFnj0zH5_CGM8xCLO5}}6EN<1pN;3Kn{pD18AoAInFc<#8vBRaU_6k}fn
z{MGB%c^Y_d(yi(R{4lt5n-MNB&i?WoUW>eAzyL294x6OH$|chD?6AZu%CKZOe{$nG
zD}0VYmLv{-cA$`(2mY;WCGrsFyXD}{1<#Wvq=msHIlWWD@Ds7mzk`YN<>7Kdusa94
z!(CWr|L1HOc!E!-`40SUJ)ZOgoOk@boHKkXV)EuWc$~HLp#yArAiC)coUFG(eH|WL
z=sc=R#An=XVF~A*_6XC4t-Q{CG=$k?pZ~OgEf_D0=@a347c|XbrtFw!8ZeEIV}&Ek
z%o?|)3OgGyusFaq1Km!_aKr0^zCQ3EZ&RxR%%od8<OTcfB0D7oKN&t783<o{_{;Vf
zd^Y9Nyg$4!AvqxobD4b7j)Cne_MA8bx6RzjkAl}EwDNi3y}U~nkKu$s`5|sty3MCD
z4&E@jqrn0j@UA%}!>ac!J(=MzO9AbPaA1Af3JpxAZYh-qlgwQ|M+ujWEk(Y7W!17P
zw>$CvF{^*(73`!GG`|IZe>#y|2;bY;XuJlu)SS^Ng`EdeLRVptpE{Jq@Q-p{mq|Ef
zps2DEZk5<b`2=_9onWnik7=G@`3N7<j%u%i8#3sW`r)rX_XyO&RQokbI^g5Gt%qCS
zE0_4D+Te!+3zE&Sv$(l_9o$VL^Q8+8mlY4FfqT}=lsn<ucbqof!enR3H$K4n7V`Wh
zaITL3r9POG{BA-%JW$iLa|CW^JlB{D3;#H6HUwX34n3Ixr{Aq@n}?TJ7-Lf4U{@Lb
zIXF~Vhccc>|LE4xGVIdDB>4#TcsVbz1kYd5dmavVeC3*7gY)YdKir4K4@WEgfY*z3
zRs3Okz2#i8F!Yb8)}{Kug8If3q_EIcN>(@c^|^cHRPe<|rAjVv%FQ3ll(5_G?UEbt
z8tF+NR#-+>kKP(CT1fl22ez9?3^0W)3rCdrVY9i};VUq?vBJ~+@Uyp~n%c09OpJpP
zyj&Nztp+nL%(t9^o3$pLPs4tcY)K|?Ryy5&Irv(o`A;MG;HqJ~B<#Uy+ja-03RXKK
z0(bX4Ki~-~#yu@R08<MmMTElRpS&6Q;MdOwW`p5VobT_k!L|7>DN^9go0QZ{@OI>c
zNfO+jXy`)?-#Jy<k_TthviDQKlCz)p<-++~cB+3nFrK8bAgmm|#?77f8|FURKV1r^
zWZYu?4lgRkYP7)mzI*JJ;P;MivYX(hqc^6e;pRds#sN5bVf(}+Y>??^`vI12)+-o<
z-BWaUN8##_r$Ym<TdBRrFnqe{hej9N)+Kjj3f_73xMv3}ORIZt0=6W3uu>1VDDcS6
z!&Y7$oOST4)MF24;gmZ9QDv~#%EtL+c&f*&;w^0Jdth?`zJG{0D+?YD`}A@Zwii(E
zc?Q$jQ(LUSwYJ+8vG6geD%M}H8vXIPXn2mU$6+0&F@9ha3Y)Lq<^Ky$jMfGR!#f-@
z2Y$oBy)L)hV9z7pPf>^Cem>gQatmI$_3tqy+?jqv!IlWmOS!NcPJF9xV+}{L=4H{r
zrJ=9JO<{F~$=%%W4xg=KMli;0S?`6f+%b5e4L4o!<~{(A8G7_zf(L>_-}Ay*`QkN-
zFpVT@pdkEBQsb)v+*P<wiXT4fx^v(N%)pVgAPiqg-$yC}$IKTd9)e|hhrV*cKj@BJ
z5{LI@t+H|u@$V@Z5%CR<?{xpyj`vgQmkg4yohNttU)YMF%S8l^K6l@J1U88gJA4dQ
zZb?laf<GExjyM8m2+(-Eh3m(2m5#$ple`(lu;-2*bz*-vRz=7Y;o8q^q$h}QUM0~d
zu%qB5tE2F{)0yNR@SdHa95V1&Ua6=XJla^sPweksPwfLE_%QkGpe$^h*H>l;|2Ciu
zBev(c7Vu03=G75Cr3lx%#=buXcRn&vCF0K?dMYLge_V0fR)$^o<`{~=Y2OnHPr(B>
z4bJR^3#eaQJqPRVyz0mS`x$qz{s%9dVZK5Ir$~NiQ-h7}aoyVq2Mn!yorn3}v^%c1
z;rV5^F0KhjJnen@18%fp{j3iAy!E>`1<RDu#p}Q`XYLhEz~*G4Dwp8Ri^mh+!|cr5
ze+^)>AnE2#_#Cf@o<4k0DpIZy7QVnrV+xy`e{j7XZj+R#yh5ZWRnWpzVMQ9gJ&u;}
z?uwJ%g|P1*zE*R%x;|z#8{Qz__OgKkFNbqy!O7&*1J~i%y6KoCSW9R!)B!d>K2r4*
zK5}tk$_{q^Cn*^V?~kpDbA_`s1Wlr0sj-F?XZYrA-@Xv|#a=W0066`#(cvKYjEF^{
zAADQpZL$~Kd{F3WC>)}b+Ug1C8wphf!*shg6>h<2sb2EO!+YrJAKJrRJ6?F>U*R=*
z%RDsK;J;J*W}d+u?*~mSV3{m7g$%f9<aqyOBD};u^A())WKu{E-d1$pE`;rRPo-Xf
z^#gmXYT!|av2_(#tiSTzJGiV@?uHV~rAB|S3$EAbsF8<9E!KQG;Hps(spGIW$56s&
zIGn_$L=4VPC|R9^83Wse1>qg4FI}i2@V?=Bl9UIwOrP3I10N&*5Oxq=TThqT2RBX?
z?b-+bSehK$509jsk2?%s-q>|U0`}c@`YHhX9o1fxgooelbQ2}g&v|Q~h97kEv<tzi
z7M*|ogZX2MbS2@We#-)NSb0&(_b6N-QL3u}$J}nAISC*4)uh&gbN8woKLPKo$tl!_
z3tfh)72%4x(^pO578BhC1z4tt^tA=-qTu}RA{@_{cFh*v$oz6x1J-y-L4Ol|BI5pr
z$nU=XtXgN7d31hU2Ud~1!{81tvXZV@!MC#ZHTb~wr|o#I!g8L`H+<ngzkWTx2?sUH
z@P@$eZkqPl!s=!G_F-@?*{%6I@bOc<`(laoYkf>a`H?ri(E1Q|8@Q6>4=Yq{c_qTP
z7|NP`;eylK?J2N6Y11fCUN4Nkx|<C@F6E|-f~)_N5zK)bn$x2n!wzp(h6~||ruB+A
z_){;X&>J|N>2Ei2{~Y$IAFF^j9;j|+!bgwl235h~?Hxe{a9|0OOe0(p$x@gHr>o~o
zG{K|saVLx6&0On;UGQ+m@YUC_l)w(TZuo(_;YtM@Wzx9v5jJQ~;3$W`mRrRS!O6Dl
z&+6d+x(=yL!csf6yK3M@x~|nJn8K;spcOXA9;_vOfbk}FQKUrtH#6Zj<Z#?+n(#Kb
zmHd4mC;Tkko~9A*$zd2{hkZqU-K~VB$z(Ug;N3ANw@cugj4qm@@HwVNXX5<woDS}g
zf+cQ$NFvUUE8E!U7_4Dv%KQu#<=@312YV#nkWYul?kZZJguN$zzDj_9i$=XyfrpP%
zP!jojSF1+wJRFn}?G*t>1X_$-glpc!W`)6)T~U%6uyz0+R{*TREjp(Q4>|Fk^@C0P
zL*ljIwQDj*9pTPMZZ$(V`0w#6_Ap(pN`?W<$Y0-0ls}vPAw4trcYNg^OZe)T7^N}1
zF86Up3pQ?gTYi<WLD%j}@MC_u8|E<i;{2aeutG;Tj}5%HaEzb0Kk9rZyR6`&M>lpK
zfd%Ib{Ow?yqy-sa_}}+D30pXTmO_9NmSp3ab%H<ft!uEu)*cRV_V6F?-6ttwZ=(Sf
zH~99+zm^p6_x0^G7kKUA{h_T^)W5&XbiLp)QCIR!xNY+##ceoOHfs3`yk0?F<_p(*
zd$7;Ld)W+ZykUQjSn`jsW?T+e5Zq~T`$#|hKJUFt0L(&5nb84Dsc;<%gM0hFbhN>&
z=dTS0!{R;^rDbqx#*45>Sa5k}@-0ji-t{>GR#<V?e+l>QppSn9zm~h?mk*CKi?77O
zX~~~{K7$u?Y}22@k6O$4GKlm~^0Xeq$7cq1#lS`@;}ogzt<r+yQShzqZR2Ek|1J64
zV3_T+2xAsJy`QN+2%b?@wRr~H%BQJ%!{fuZxbon#_FFD@U@PiKmlrVGIkJUYa9PPK
z!B_CNSKZ7`Fd1#<-9q?4q*<sn{CeQ4L@69ODE#^wT&uMstOQPAsXSx?_nqWXcn3e0
z3)C`#3&xJcRl;t=ds?*NgP&DY8sJ@@hQ42dd-F`v>fm={w%1kQF*|R{UijCWh4M4-
zJ(391ZusmcFL8O8yE2Yx5MC*gHk5_4U7y(wz|8V(?<L@u8adqKu<4TDZ*iDUtk`uF
z)*ssAa0pHoC_Xd|pTFMv_#nI~Qtdkhv%E2)=YfU0U(bGr#gi+{IpLDjQiX4DBCF;{
zM)>B1{O`ZumRo;F7~miO6{`G%cd19ZQNn3D4_;D463@$_R&v;pC7f~x{N$s<sm&I=
zk9)Y5?}B;B7;JvS=ggd#XyCr<S>xZ}d!r{jIN&p3qeqwE<_NKFHaMBfC3_l<l3h41
z2s`gf{4)WcEg6XrfZfNBIS#^ck3xSOgX<eK>Oa7JL#}F)@U8s$6CH5=0&9^neBN~}
ztOfSp_)Db(XNE?SVp5{w^vM`|O?a<lgia-F!Q|4U0rNW_ZhH;aKR9t)4?ZE5@uLV1
zj$rT6f!VrG+2p{1f`b7@FpX_VOg8-JLdl3BTz*5FDh1w>7E-c>E$yYQJcUOD$rG&M
zj;9~GW8i_)w%hKowr|dXNI3qlyq+6;bLf1+J@}B?<BA~obIR^Te|Wg-8gn3A!e40a
z3IDtB#v>L!+G+j94K8`=-5m{=d(#Nn!%oIV^Uq;1+Z|cf@BkaPVm55X_<XM!OjYbb
z(*!33)Ycflvpz>G8er?i>r$F9kE>d9A52{^9-<DbP;c_|!s*KQwok)prhz>}FjH8i
zpfc>TSK{y>?C*OuNd^vyEE)L(Q)S0DNyF667Lw!e#lNTI#Ng2#Q!_L05~-ur5!kAD
zdT|0?o40OahVQ;GNSTM@%;Q%W;nE8F?Me9kkK;`%&BT1e=W4^S-NhYA-(j^cMj6EZ
zYk6NVeSt0Z#3;1F<(@J%i?BcG#kgjeM{Vr*G(4NP@VOfHR!ydzg%5Q*#8$$4**^dJ
z0MiyROum7qVw1ZD;N9uzQAP0C{S#%4uyg78@f_HbD=w-TUOyi$p8>n=VZ5FR^IlX4
zdkS0rtd`G)hYVe*{ouL*qj(;8cVI+C2&|Z1Uc&`Pi%GQmz~&<g{$HBV-kEjG`yR}6
zCn<Lh7Qf0EM5I4$YDC)wvnWzYhr(sI%8qxy;ZgGnMERiIa*KNfU+wAp76z*Y^i~(b
zjFHu;#QrR3H(#W{wbAKXQE;l9&W9xUjbZ$Y2XJNHyvie(&db#(4wkA=aE^tgr;KQc
z^7df$x`{vR+bHqw2~78*BG?yxXCc6v0IN7@{&k1<Pc_~q%HNs7rHd|btm^BYEO;qB
zpz#L$YSufT0JanAT(*H3+-*kk;3{v+tLE?_>mLfl_2@8KEHQ@r>xbgX;rk;2BD!!N
zd&2oTm`Ac+R~z<D^iHjTeVMMbtHKHlC$w5%yYv5Zbl>q@eSaLlNf|8>nUy`0WELVL
zt1?<fB&(#NQi;mWs_YR;2=O&SC429T>@877B`cEfd!65(&&NIYe(pH;+;iXeyw4|c
zK@*-TWKSdY{kpIC6=nF=$ySqQI5YNg=n>e(Idn@STz~7?LoryXMY)*NcPWY16j4}y
z=v!42+?5wa%LrFS`QGV-)h3%HcEB&?4?b*#y_mv77OQbQ=j+5tef*POSGWKtB?k_7
zz@?c>$)j+P-|pZ6`0}by>j)enHl|GOr@5hXg{|=RcH22}KlF7y8f%8V>5prZ`-$V$
z9^)FAqT}PrH~5B@wr3TbB$siD+)vuazWgbK1vrH_{e&4;HuDs~>#u1{zr&t}iILf`
z|9=m+&%+hp>&mj=7v?55vv7UtMVS;>)}x7K8TR1tx{yT5UwCc51n)k)yE7KnJn!B{
z9fbB}`kdf1IB3&3kxlR+xw+UNSXGwy2@{;sy64wpI3#_3j1k^_tiZ|(mgYGf!4Bs-
zH$L%zhe~;-S>X!3OH|Hqsa21j5d6X4^~@bOpgI1v04)8Ov+){y>9zJ28MrV_VD}Z+
zdT6_)6rA2&6><?){Fzp*3V-S=8#9I7e%bC;f#oF4jnBYkr*fLLV0B~_oFdB~+6!pH
zYF&T+Xv1j~zkSca7hFDTYrr3u(m$VpdoQ?`9f21!`Bkmq>PcfpdD!n}PqZamu>8;G
zAY8c3DbpEFReZfc3@$p#LwyfkQ$6m)2Rj)(yzC2KDWz=Sf|-qZ%O1fhv&l-Va6|G<
zo(Q;9|70)|%;d=E90u>nTA<zvAHORl8VhgItQ6l2vrOFRi-O~gc5p0L;eN{u2zUw0
z#tx`1!JI~0rk=rEzZ}^+;kz5w<wD>=x1`xFxSJ_CC<yK;)4J3QUk{HNCi~|XbNfgu
ze1+3q{Q+Do_T_dM{FK#V(F@iXE_@LJYw9td^n?RHo@erhr|qcL{o$|YB^7<)J0IVk
z^@HE0b>z6huV`M-1j7Stulpast3f9&1i~_PTKc!)hH|Fz7w~SUZwWWxgRG^j&*3qB
zKUQ0~>ES)+bl7^F<%%_YDq&As8XWhdaQHl2bmXIC0sQfjf`k$5D1J5I1MCzvlB@?$
z7%M82!80YXEhph{$Nta~SU^uj{TQ5Bnxa+%d!6}vO$|<}ADOR!6PwkIB;i**Nv|5<
zfd?z@5^$;P!~d#b^TqF9SYVDUne$DsDf`PUyI{j4M$0;wQzr20ze?19@6w&E@JRE~
z@V_wc+trGXu#9DZ+axSum~g8D9!`=^9fxDS4D)<~uLyXDb-~}Y@3;5B3yhM*9dPxO
zQC~ak7{Rrt5T*>T6(-x0(sKA+1aB3;=1%rENo1$pTe$X7!1h<L^RPu+F|1vh<4EdH
zV`^5HJ51jy!B6VX<;i>NuCPf)b_c0%x72c`uEQlBLf&NkuVT(Sufcie#|IMN#7DdQ
ztl)zNMo-A~*rnT_Z2@--bSR|2+s`pQ*N15$kNnJpjq1Cqb>R;hD{2{VpwlgR4R||`
z`R}*zm->TN>aeVF_p59;@8MNlDcF2j@=QKFeNWiwAUxzYot_6jajp3&49h7WGcAQX
zjofw#!Q(S)Z;Rp2rMn;Rh22CGnaTC3KISvX0q;pWd#w>>>)}7O6XxceZt8<ys=L3U
zhs!U=^7q1u8@SnN;C+mOk0xN}v)ApY;Guo3gWuqbN9afXRv_LxO#gHmuKM(bZW#{a
z&HMTTW@9&Soq>H9XTulZ_{TFT)9|Ea<j*<STsma;H<;&K)APUZP9L#jWANBdhu?o-
z#h{kLe)uwFLJ~zVo(JWZ#(Lqva@Ex}EYA_yZ2Sqf_-&s-jpg`TM2{ADVTgXyCb(py
z%AXpTT~hYlR+wU;ovRwo7<9CvgN=vSw!Vdb1Y}pS!k77_P2a#@W_37O;FKM`Z7DDd
zb?=Yka8!iKbToWv_u251@D%>VDiQv?=f$Smu=s;O6|%h3T`cnseCXB4#{@X|sb0ww
zI5}}p{W<)WJ&*Y@95VQ%FbrN4DZ3p5^Y-#?4Tk5vxtpHB9!EOeePOev-D0V5KDTL`
z7kq5#o>vO&pF^*CAD(l%DU}6(d~(vk89tIEH2NRhwCSyhEo}3HH8dCY2$=D_1b>>o
zIh74(-%MOKgH6wxMd!o)-2>dFaE{0O**w@~Z&2iEIBE0q_)?h5s;1Nco;08TQw&RO
zb(YqKHRw8DSHq_cWSDBgZhpcPRdAo&#dan5qyhDtM%Y;)ctsKR_-9Dd06Qe9-;jo@
zz8=W?1V{Sbd?pDm=DTlih1c{2=|$n}%F`v?@M|W0Sz&mxJdwEz_BukH!394JK63jj
z>=3ED$_Zb~Zs+|1yLJ~&Y=KiaquM9o7P)~Pn_-4$BO(*<KhKaylyC=MeBUp4q$(?O
zy&Un##tDgO_`ZV;-x8d9H*w@QycFbi{5PztIVraQQ$3fh_yLPE$4#ujEYD9)O~EVl
zqe_3_U^;5^FYt}k&|j1x=+92F`F@74@N^xcfcL-uwAu|j9q?GBf!%L^;qQVITq{mc
z!<`AyF-`D^Oxx9MaMRJ(m5p$w;Oo;{;ouhYLzVE#9qo-wu=q*4i{<b$b{`W)*g}D?
z`vdIn&$opgPK_2_e-B?VykNl!Yfg?iX2PutPs;`2u6vVJY4GikDpmn_W<K$70{o-o
zY@HaaAP{fy5*~Zxzjq&8Lvg+*622Il_)s2pICNYn3_c{))_DlNqeS~606x0g$onYV
zuf9_42j3s|9#Dey)AQurVgBpB^186jlhA+%unEPRkQ1=dUVX~ja9vH(?0Hyla*zHE
zc&l)orU@LEJXmuXUYKyO_JfD>e!eq>=d<04eBiT9Z$!_)l`fNZf$-3%%c)cFdHbb`
zCvc^aQoS}jYh-dW92VB2nbm}aoi5df!fpbMHp;NKXN^+~T>mfd=@EG3$K-<uc+I^3
z7a#0nr6~3SzLD{Qg%?iksr(uQ|D?~Z9x5Z_=>ufQ{`p=RfBqSkkw|_*_RoJy%FZ5m
za<i<s6THKgx~d<3tz!J>4lGJnb*LS7sNn6s4l`~2$<PV&_v-Aw2HW0A_4x?v>}PSc
zhIdvrU1)~Szql!80pBlI)hUMQcvT-7!@Z9!cuV1eS8V;K;7z8-{>H+h+ZIKS!_*9B
zZ7<-bdv5e;!mVE#i=V)*?+rxB^?S)Y6dnj0d=B>@*Uup|bc+w1apGRPEX=$ke$<zg
zAKmOB1&2w~wcLfx+~(UzeW90NNVx~^icbn9_3_BPly@BPCV?mw9ymef^&lHuFMM-}
z4OTwCUF26O`ootElDT0!etLtSaHDO`>Rz}iuc&qm=52VAPU`O$^MYSrV7kTcRHXji
zJ$2c-4_>`nkwfaQ-+;xF9{6eVp3P)`E{HQwwZdFCXFf>6R#CK~&9LRX_Kt(_9i6<F
z)o|nomQqrm9mD>stAvBC9CpdURVl_t3gK%ya@FK~l(*{G<ii#Z#&0RWtS8d+U&Gw{
zQh3zh?f4h4WLUw>@Te%<=K9u503MiW2;qgJYV&1;U~}zlnjG-ntLq-CC8Ylu_-rTa
z*!ItO9Tq!J{c=0}nEFTIS2#T<XqL1WhTNl}<M5WpHk<yS{qfut`aT-w+EJ3b4nNzS
zI1~jla^WA6;k?(Q^**HhH4%o5SijhKcGepXH|%C1<qz0>GPnx!Fmu$9?Nf&iI$we9
zic@!Qf<HZZFmn;U5IfPh6|M?@#A*)D)lj+6!S6oTQ0c-e*AELbz)7J^q9@><rPDpz
zV7~foEDA7<t>+_Vm`RXP=`bv-_gtE^UwbtSM1<j3|H@HPADHw`8wkQ0cDnMU{VMfe
zsNDlg)HzI&`Y?8D{ud|w*78vlCme7@s(%YS;}>^~4=!puK(!hE=K1zF7d+x~WBN}q
zzBk>fP85Q<YVCF{!M_`O4fsiUn{>)=Fs1hw3Q~XQ^<N2(!7K8MS;8<!{}@v{>{qgA
zDgi%o=u`LvGj-5y+Yhgeu?v;KQd}DfrC~4r?Rq6}9@ES6190%p={K+7%by<GllsKi
zFx-;>ho;BxA>|Vl_f`eN>jxiwB=zZ7-1Z-VaOc%%7g8U^S5I_5gtryn5hnNNGM)VT
zeR%KXT?a_{?PuA{En#`#@j+F1sAr?^MYvCB^|3OXC9Qf(51!1eK1}ZSOv`;SC*eYx
z%STCh>iu-cOu%v~{$JYgj<y+IN!YGl;e`gACbplR2Y!n`VI}SN)cu{ZTx9v<2m@07
zboF#3HB4WnL}36Y`?r;Dg#C1lvQEO|W843mFT(Rt|L^&;@SQU=ZL_e%QoN-;T+PuS
z*#l=>k!3J~?KY&Dbis#<49d>Hk|tk|Rl_`ghp(B!yMI<(uY`AK`8yiIY!Wdosc`L|
zEj;Eh|Dn4}DX`0zd?E7u2;?|v_>`=_@jw@8FY})Xxjlxrdg^*#fO$7r*tx(L?TZgy
zf}ig{9C{Bv%X!?Nw6}HJyJ>I0>!R;uNqbz$nts3@o-=R#W((8o|HfekTgXd<-GEI-
zKd7FEFI5(Qw}%~A&*q<k<;vNf-Gy~B`A78OYR6YIw_z>S%ClPV-|&^^58#aaz=s+z
z(`~QcE^uU~*uoJwC%-Gf6ZYM-#GweARhj;EhtC;@2TQ@`JC;rd!%V}wM-ITE(@yE+
zd6;5Wd{zh!`CV!h2|GW&|4;y?SXasphZpTQ7k0ya!X9SNVN2&84o-N+jN(0c9#-Z%
z1@DAaGZZZo;nvp@`3x}4_JV?Vm`$^7KONldI(I1*u3+&!O9P+WdaX1Cp4%n-ajg*X
znE01hvtXs#{`r4!lM!2027FfFf$ajE$f$Ya9eg5hU+^3pv{+J?3v1qKrk;X-wN2bE
zgujhD@1KBQelcyzhnuK(zZ!-gfAMfGhuMs38VBJ`dlo;H!o%H{k9NWyM|Zi_!h@UX
zZQJ3-*FIg<@RP~xp$2&9SAu5~tcd>wtcU-4F!ndX&GLU-%HZUmLcZ;=?18An5;!(J
zV)zrB)hy5U9{zgx_2XXnQ(}+uTey&)X{;L-OSu33KRBtID|i^*X1Hr86}~X-KQRbv
zzb`ly56@JFgnxy<AJ=z@gTts-evFdxTNY;`;O6z!XW!vl9)7IhFzdySniH_=sdg$a
zxP!m;_b>R#9V<}}SaSQ?$`mYr-Qe+M*!<Yf*K=?m&6ivoI3_KW`UhP5=Z3!;tiE<D
zcOD*Wr^r!(Wz*m1Ps8`Crx=Cdgj)eNi?9HT(_ulFDR;4W0roo2@n#Qf@uKF+KbR&k
zshbnNzZ}iB3}3zeqhbr(H!5_CHWcHfmH#l%!a*rd8>r##q*$Nz0>mHIbnkA5|2gl@
zT7~aV=QeMJ3zRDOe#4J!9bA~;+TTjY=V34Jwl+rCi2ZB%6nsNTc^?mKVAi!`9L^Dc
z?#Tte%((w(2#&gb@_-N=BtMfe0PhG$^$~#crXqMd;L?v2Bhv8Wp<6dw;mG2%a#Ha1
z4;&M<uw~i5F?rZzk2ie{>^`Wca2RGW6!R{IX;Om2wcvj%zuWWS_^8i6G~nCjaa!51
z*#(zpy6~MBYYtiP#l0+=$Kj1d`sZK3HaV#ar{JZeOwU;OO1oO39!!-%X&(UB9&FJy
zgeO$aNBF@-*&Hcn;k=nmTixOMtd#U?@M<K5hYP$eYkkHZw(&c?)eG*3{GJ;QbJD+R
zb%q6vc5exT9hpuay9xg{=e6TM*so=#@G7h-k$EW<e$$X3VFlZ#&^LaAr@p?pat6-g
zr*xcv3qrmvn8MN7GWXVDQ;`i<4B?3aNgm2D?C)lc1#?(5*;<elwxd(DHGv-;zTV0P
z$L)5Vw}cD5VmlAO8$ER|o58%V-aI@AH#Iz+vw?rVqIr53e(1}ucNS*6**SI_uCV%9
zeFA>Ma9`0IKKuICPHouWty-8ToRy{EcNA{04p9z(x0U?OQi8LkjUxTvGyGNjvhe;b
z397-c5VPxXY4`~3rRYHT;(%twKDdhVzhjZ`e;E{$A~4my>(9gCmW~E99ynYpL+d#l
z?&Ips1=GY|e;EU(Y}a04fmZ{*o%sZ}&9>2Pfy*|Aq_@D6F$u04;P#UxhTU*?<e_8=
zcy8fRRwq0XPsjNuAMp*#K$Ah(()GE@BK%B7Hm4sxKY8uLPq@F%$ZQn8{d#TaJFKId
zvgI?p;Zs~gAABRTJZ~JHR@gt=15-WQZaoIKoNO7Wh4)r-G5ml7E}2l(z#<;Z%%r@v
z(nqUwn2(RMd>Y>0dNv>pK45zF<~LZO*|NtKUam3ULzdsZHof)$&PmvEn{2P)e6izg
zcrB2<p8THqoW#kyaF9Wi^8lP@dNAfV{Pg<!<_`E9L!9GD__m_heR96G=u4R^!pk0d
zt@ZFV@0deM@Gpjr2Q@I8yBPm|_^;c)PbF}kbl{peeBfK9P%(U`_N=2ITp>7p|K0zc
zdqNm~D&{Ma19vbgA7X`5qw*f6!JMIyjO?(enc2P+m^p@PjTUa53vr8s(_?OSZ-&S3
z9@`%aYnlJ4SpI-`w~U)d7%V%Y7P|spALa2O_2=LQ-_;SaoX5J~2ey@K?iz(-_DlPD
z!7XveE85_?i2H;0VTZF%Vme^Q!&jtSVE#Qi3?E^|+qu5CU=1#xsU}!=>6wfJT+qGV
zSp>(MO!!}hPaDf*mB6vF{c_gu<L3XOGvK=-;!jNBlurY<vS2w8ad~4nV}tI67o_}%
zPoM#8@W@&2CH(f`lW%(P*ujIDk#Gg=#9=L%bAyr3Gg#-r+Jri6<yn2x7alucrg#KC
z*#1q&A3jcNAEp3*Pl+jaha;Z0PDsJ0R6j&}!jwn9DM`Y0BX&Dnh@-W_MB$b?&&m6+
zouJisVVFun=7J;4f2v-I2TrrplDh-@7EVNP!7s!AW?X~Kq~0kpz^$)$n%{tfng=52
z;gH^n&dcyS4z=$z@a}@T%qwtvkb?>}obmP!p9Ng`rZ-{@?bnyjcULXpMv5)d|6rvg
zzFQ`+-~4Tr-!Rv1?&GHL#ir4jS@=NnUD@NL{NyS1DY&!d`i_(EIrrvy(q3+su2@lk
z?P^suhheA8+>Rr#A7|rYKiu0(RVD^&JXY7~fY~~JMTx^3r}_0;V5Xoi%gnIs(CegH
z_@r`O8w))4?)d2{_!&Jz2{l~O(($?o&QqR^poJw3_fZtWaSCBuDd1VP_os7VpM3kT
zlrTl01JxV2w>PJCCJ+79r1f*J;Sb%usdMm>jYU>6Ecj1o?-Z=5H%}D@cd7qf`VL!d
zt;&gkb@OCL`(Vqx#x&%4vgS@zGyspW)tQCBv@I_sI^d4=3%UMq(AP_wyWk`-4GSMw
z<8|EcDp*5t?7b^ItaP!t1`ZbNvAz#emWAiPgGbGs3moCh9{rF!xKO%)-wN*6mKCvp
z`<^Yf+QIX?J@w7u3;V^ytzm;RU4lp8fVakdS7GTZ+`0<zq)@D!4Sa|720uG&`l(=)
zJU<2O3y-tHclc>kF2Vd^G`x%N@jRZ{_47I$w@+Vt0WJ+1OuYzOXZ0^;!CUT4tQo;<
z<pC|(aME1orZe!!C7A<J@I&KC;}fvafzPzjuxXg`W^K55_RqX8e2L%af(raj{`p6L
z7}Fc(DZ`Bigj77>>T<rVhv4O!T6QmZy}i#;7T*0xKgb1c+`RNb9Da29$K?lb)nfLJ
z{qXx)$00|u{-YlSd*D&)=YdXeT|yS)Zur48?<NO0XnyadHT2ikOH?l1g^&H1Eg}86
z`t0g~>+p#TLEE43?(IcSZo<@El;xy9dWAxf>I(d$cK5C^Sm#l8za6}wJ6Qc0o)3Lf
zV+<?Xt+A8-v0u#IxbtNFjE06zc-4l(Uk5Ijo!Q$=)}QgRI03)P`XE>j+w5Mhkc786
zj^8K!`%%;LG18>`ry8#!nBJygg#&J4Uh91ee>4^B*bQd|E&64{Q}0+xx5C_O2Zzb~
ziL1DM<aT)PLAk(W_=);?kJWd$KkDv{k@z0P(M;oY_}jaHF!KIG%N(UX4YS^9n+%1m
zLdJH_z+)V<&q(~wmama^7{0Sf@s}_Bo|kdtGb}!@ui*n5Q+l24fv2+KVqIa*6E*w$
z;BR;G7s&e_^>3M1pWqg1I&BgURC(ffza6Ga5lnD|Z?2EdHo&}_?=4-01;;oWKEjcn
zvAT9}GFO076&&<DSobu%XPKj}9=^$KwR8ri;(TM!2G<;4jz0$f%U#>h1@BF%(IWAH
zK#H&@Lof%s?gEKV2>Nv>eu4Y7Sz-^vR_j;lreOOQ%`v>NbN3rPa{S>AI~KU%MM~D1
zarj}{3(X&hCk=$`%UpoFOqO3x!4~yTcz?iWWvq1i;fXKT+ke5bEVYTf@FTWnO|pJm
z#OfdNeL#6Fk82W6(zDhl-v`dDGe?l~*?+5Jr3@}~8c-jDO-<EKlkXMF_v8xuVJXT7
zspNY`(st(1LAbSYmhwGp)n`xJ32VylJC_N^6>5AY$G_Z_l$8#T>c^jHhFN&NY)pdR
zxH^ip!d(&Orit*q&mR+N;pgvO<dE+-J;pK4<ox!xCtF6rXOC%Fe}Gdtr#=M18&nw;
z3*dpG!yg~P!}8l!AHfs8LENrzU2s!}FU+8HPShDLp{<m%hm8W>x!r_YcRkp818#CU
z)$0HUYc{!GhUH}#y)MGE%u*6p;ZlPS0~cUk4Uc3?xOPwHfF>+Zdtb~JwqNJ-(uQ;A
z4}2iodv>OD|2Ej-^Cw3)_<^9m&lXt6f@SJ1oU+<GKn0g^J}bWm>%2~t-T+(L4$6@A
zMVxg$lka)SPussb!k<s^9-4&*`<YG1{=C$^{d5w3bIkwXb$IgzgYj`V#jG*K8qQe$
z8e9%r^|lR=<+hQ3<SJq6x8aw_@4NX%%7w#bmA<z;V5Qlp;80k0U-<;tpG`so-vVHx
z;Z0>O@D<xHO8zkIPDSZku$`k|xCcDT_+aa8*x~8HX*bxLA=jPkU-q?os${&vA+u>i
z^85PcezAAqbV1%`vVWaB+h*-yv2vrNOR&wp)x@iC%fqt3v+(oHI?Gltd(5njA?$I$
z#(<2E&<W%n(1kaRzDqHI?f&TI>cc@+?73%QpM}qia`3*Wo3y&H`!1TPL$K1V=!+*{
zs|M){60n%d!h3c2$f0vGl5h`)YlSlW%yB534eot4!g2^Uk6pgX0Y5zdW<(U;;ia{!
z`z`vHyY|WQ!L+xGfA+wNUhgKk;7e(*yKCVamt~aL;A@<3Gwb1@AvPT*IAfZ3`x|(C
z>FI9{*uIZlHWQA$+jo*3)?-pmPlCNaXfJcaOP?h>6X7Y#FaxsvH}{ORW8j!v+Z1uQ
z>bp#AB<v}bNwFW+%rIpLgiosO{7)LrH_$lz1aA7CUqSXiu~~H42<{!Z%u4n@=9*%w
z3EUWL%(oY2ew`w&0&CDRI<vsW6uH!DaI|UpKC=IX0*f;T;VWwoJhsA08~)Ww!NW)U
z`!~arBAkl*;NS0`Nl?Kdr*<>#hgI8F{3&5g4Fx}bIDw<+GZ`PWyI9U#5U$<Md-xCB
z<8roh4;=W#N}i0@quzYbm=8`d>JB60mpCa-v~a+l=Z-~^@pM;O!g~bZ*8Wn(T=;aD
ztED*Hen)VUjHjDw;bV}5-CJV<li<t6^s(}=dbG|rGCuC3{r)9#ykneiACvKIc5Iv;
zI&iMeKiPXQb5OXrF6@zbVaOR)vG6K52aAQbN|EuK%Kkdc7hv58=cmT-#$Y4=v+xe<
zU1J9Ds|JdThVZIlwW2=!I(AzZ*`6)c`ovLKrTnDlDcE@PdlhB4KFsKkHoTqkbd((2
z=sMqg94;NEpOb+j_N=Os>mmDJmWDXoayEqh7#x4mAzlm~EsG9Rgg;X<F7d-g$3$(E
z;Pt?6JwEuo%fWsbc=INgWKP)bWJ$Ih+;c^pf&*sJtr9o@=f0gfvlFJb*IAVy<+J_i
zcEFUer^mVA1%BxZv~aLeS1}K4&@sZe2^JL_NMV4FI|g4~#du${(}oXs!hs#yoPXie
z4JMa2z)^AQH|AjXj88{4!alp4C8yv3t|p(}Ts)s*-wu-T#naZt+1>DUpL6Qp;YSt*
z-tXXYNzY$o{o7xMGIL>Can;qIu>3&RwrF_Xi~H0!*!G{sSPaY&I$bafx2j2fxCbwn
z_Us_zqhrpzc<KUQ|Jz*E0sB}5IbDHy4NBOXV9Di$lUHGL#q#EQ_-oxLCW63xbEWV2
z$arkm5fyq<Sf{DzVHvDEEa!C^&gRSQAmhJH)I*KW!ck}XzvRLr7aZ~x;C8V-IWoT7
z%B?E!2w5&d_473x6OwvQ4E|4yMl~Mhmi?nE4%f~Z>Bqtvry4Su;e<OjDPi!597b;z
zxU=&=lVJFa!_0MR*wd>x+Yi2ZN>ZH`&K@{i<^@~c_?tMLgZReQGrP!melB`h=NY(X
zdXmoxe!T5ZPZvD<VylY-JZHT>s|QYwRO=-91wX4<_*&siPFvASFy&RPzn|b23S+~T
z@J2(nu`>Afk8LvNVFM5Kf(o+!PW>Q~PjP<xKJfzBG3x#|1Ng$DQ=5uli-;;^eRyF|
z&N&wro|%mx`5l>wCVKDS)~X}38gP4!Qgu2UK7UO^8P@7Ejmd<6y(o=80#nv2??{H<
zC(JC#z>*@y-%?0<!MJouxJhz%YXp4gZ0Cl3@EJCV<S2NcO#doB{BJ|ny*u#V>d=ba
zFk@e#t`lrA-0+DN{@`~i(+u8i%`C(K_i`9}nZvI3o*witU7qyvIasryrH2Nlh?H$H
zf_eW_k)(#(R~gjwVHsu0Lp{j1X}VgYaUTA{qism?c|MesZWM+e=qF~9e4ozJmwh5I
zJG~qo$p^Cka8s8D9%T%@K=Os|(&+N@!NV)@eD7e(EVFCN*@$<EZgt6kWdtQvS76Gg
z?)`yqzRI<G7vZZa0tZQcl=Xk&x|Xp0mBY{7;pY!kd5*$#=Dx@L;D*Cq$CY5q&J*!I
z@Ts4g<udTW-x1nmd%OG}eV2ll-|eM%42LN1=;VdN(#%syeigTm&N?@|X_0qh2+R<$
z!;uaC!epND3|7w3e8B?$av!sZfc>|$`%uGgZnJKE0Y4s~&DjX69*QlGhNU?}W9HxB
z_bBVGB)|-jHPy55muBDUmvGo{z~M=Fwmj?lYnW5M$Z8z!$-iEo3^$Fq_YT1--9a}q
zVah#ORD-a{-xE#g@E4xjP95;?qjq;lzE-7DTtXXMm>&Nq3;rrNOOX#-I_8S!!DD%B
zqIvM*xY*ZRSb;Z*DH-ncl6^|@yM#;|kGz8S>t?HdfXg$_3WdUF%5#2{!Y@Od4T9my
z;OiPCFoTtHtuOrjgR0^Wc+$L~@&R1B`Df%5oc=IO?l!EUH>f-Zw?BJfaSJwT@`{;(
ztC(%OufVp74r+hkA_fOaTeALF=D0<;`}^TL=CFy|KaDjwx$ekIGx+bRmkIyipA?&!
z&%y$19y%LQUn5I4E1f3gSqgWM<$ql%e1u`@T>pHM5B5-%GFuR4%yX|N+xypNM!y|a
z3aGDS#`0%1dQWKKYEuzg7P#(@7b^oyRgzgC0Kd9tb9EbRd|<1DENqsmHDCdk-T2u{
z?&r$|`=~F%FIUG4NPZXRptM#P{IjUvQV;G?-Ek`f=Cre<Bkc*N)Zw*gczMk*#|UPd
zq!)Sy@AtX2O4_6Uew!ajgLBlbCtJb(;u4o%!xeidkK4d)I)?La;N~~03nc$)yq$M<
z7946G9&Hc5FVuQXt~XC@sOnvqB4kI~JNV`C1CylvG*Xu~ErGLr4urVD9kxr4ir}AL
zKFNB(*%R!H)v$$ohaYLLL%#-Fm&4y(_KlHzD3@jXz7Me9H6EEb*kQa!jBH;asD6s%
zJ3X9_U?KJC+w;QEL^zpC<7fiR$7Z4V5~kd_NtDzlT{EfZEV!um{KF^k=YyUL8SsW`
zg?TU7q15L2J6I-sl+zQ=D9v3W&!_64%3x>sW4gUoCH&2h=Ib4}+%qq+9Nyb7VRRjq
zsIvJ@@{Q7^_hgXz_UlHfZVMdKOu<90-^BB`F~8yJiRxKHxQTb-_dJ}xDcwd7zDa#s
zg9`nH+g~#BkHhCI6XPji5y9~NYH->SD{VU1Zv%s&3QYZ}WR3JMbO(ozO2CuucT={(
z`j$p^;&8$%iua^H@_Tf912b&Wm0?EuE6hWW=6AwtoSS!&@(r1%2RFd>d|8D|aKxzw
zYDzez^Kb(_OsD?PdOQpH17;mJNj}kE)48W#;gc~Nnwa74#U83b*h}SdnJPRYr}pm?
zymBnwk@Vl5N3(q^gJq5j?AC<C-#gNm!rp0SpVVN}HLc|gxZJz{-f@_xI)Nu0c8XtY
z*M?JrpF}3Y=TffUC;i8|L!)K!u<|dTE<O0ERkQRnxOVT#LqmAeG}nbl_**DrFUdFB
za(8RTQ+O}0QQI|`e|=il4|ZU`yzeS}_1-|08!Ve3`M?EM^Sj9M06u*~v77XFwM6wE
zJHqa9&s|BrNa)Ka?{2~i(Mi3o@Zih)B3EFKWjdD^utLDe77KWlm%1|+Haw=RW(*7Q
zs^2Mu+dI1^4B(Ob(yjS$uTG<>Hq0#W(5W02{5}3i6V^+=+D7teuGJ5$D8WbF-Z+zd
z8<o?Gd`Dm@4i{gNukkyz!;=p_awGRZ1AII6M>-EY@b^|!C46Rku^R>4_wczg$;Y5O
z-jTYNiS~^CX*9{_@#U%8vj}f2$x-<Pw;vtQSb%l!dg^_Ix4+0s?t|lB$Np)Dw;aTS
z93BgOY(VlkOs9+0T49lymw$WV-<D0+nqel|z|$mO!}VeLmugswBmej>_~OSt(=zx$
z-izd)uv$-RTOJ%5nZEcBwykL4dkf#&`b2L9W?QUz_8+|C($ha1@V+!=SYD9|m(X4_
zAn#ADQy*mG;WW0hbL4%^>B+<XXYllQq2qgCi#{j4V7RDeTdWwI(W0L41n$1k|C_x3
zIj9|F@rGMo=BmrXkHsi#-QhOA`*Gxbm%riPpc5=9xJ}6rZXP@7egjq<sE;D=*Io)I
z7cawCs8f{9VD);oy_etz6Bnb;!-rhi!pz`B28Jm+INUM$t1&FvRHJ$YzGjeOYydld
zjQV~9W-PqysR!4;J+AHm3oY6H(SY|4v;8FTg4Clz+{fUUg~nrd;I)3?2t}AvJ8YWd
z6PVI|Es=*a9;<2IhksFwOG?5gw$aXzd;)3uxbqUQYFoouQhxkv(gAun$isEb3*IVe
zYP1cOr#)f)5cardF7`bG?Zd>}R+3NQyNTuOB>a-@d>M&%+{$B7?t!OTi&$M?!Ke!?
zeQ?&|otq@yq5sJ2@h7+}sJDR}U+%kj%Xau+KolQ2zSiq;Jq_@k1lJ*wKXRz&&DIXs
zt4vQ$6CRXKb8m#N%w0Vy0T<HlrXkylPZ9i0uII@*y4g~=p4R__0K7R}pspM?|8q5k
zyw3~9b13G+&BKz0%&_$y&F@8U?$Vx|o$xA?y!l&r!$Z%_<o(?%Q(N{u9Mx@ALJK?8
zh;b*usb0;yNPRo_RrXIZtXEUzu#WoaOD%Nm1zf2f%{>E;FYo6_fMd=-uO<0E(RRwo
zX|S8m2CgaiNc)io>99s4RSn4>Vo21ZeFtZATkRQx-GAr|li#-pv8?(E-()wtLXPhQ
zQz<9O_xn%%>``)jU$ToT$ov0?PnSQ|!#lTMxKG*>*-cy4+u*5Zj}E+tyAuW{NcnWT
z0bi0I#vf5!S_$v()1D>yi-L*9q46+J{&-XtoZI=JC=Om3F{dQ?cyR_SK@Z>~v(vBN
zz(*?&<-5Sz9XA=$;MuH}$42nn&N<rzIFK#P(gc=xqq-*!uKwe2LL2_DtL{!D+%vAu
zcO1TYUO+Sqe)EWKyFA=BndSKyR$J*AQ-J$=*yTt*UairyW>I+Wlhh#6{!X5<OcI07
z@pG$_{65Z`T!EbM0TYeI>u|4Mk^&d3PXAbswD)_zx@WV%a*AB3)-caUMPD}fLbWZG
z6`VfDy1D}nt64W8@rz8M)^<j?7V|!l_=O95n&xI$W$EkoQ}DyM^Lw|#E`o<_N&F(@
zymS~9e6*#lTni3AFnVPZ?A$KGNuGC09}0&5rQ`Z(nKzO6g*gk|6ACOBzFj6L3m3)@
zQU1YlCDrq8Bz_^V&$VY6-d8Coy^r{+V8sNi`l0R#iC1XfuZWt0xuofz?}epI4lT99
zqUu&^g7BZ@ms~BdSxxH;ez<@1W_S(!bOZM>F<6hGyQB*CA6oh=3`h67yv~JB%_}8H
zz}wyqe#(Y<Pp17N`{Q`@&9PK?PvFl)vcIt_+Z|Hi<Xvaiq~V2cBV#Y%ZqKkJMYzX9
zar<+aU2bJv9%lQv!!rzi^hqj(^bd-(Y|}&F$2rd^Rp1{p3f%s%v{UnIa{l!7LbQEh
zMy3eUW3ceALsEBP-<*n#C*haNk4<mG597{W*MPsA>N{`>t~x1Os{~8%dC{DK1y)_V
z4#O9$maOIBD+0FSlCa)vw1Og>MmOk3jyKNcO12an`S4j7I~=AaFMSvmA7K5(3csDB
zNt1vh{@b9*0JG^vyGg=%1CJ8uN%=bK-y*P;>&+D!Sjus}aUV?UwQ`0UX3j5G=7ZOl
zCo<R2-&@K(#v%Zp6QQ<RfthW4D45~!(MjeX@GZ~&3|2Va!rg(yf80b8cy_=-JZc?{
zu!;Gd`z)~AnYeo-9<z5ShlUIOIqTb24O7hR8RCX}^}pP$g(I3wY{~w0ve&kjlJb>R
zN@V}^Quf>-{ny9;C>zP~v)r;jNcz)^{5^lk`C0K1dh!fzT#c}ohG{dN&N#!d+0}Il
z@NnQ+9Wp<{&A)DnWPSNdgJ&#Ymt?uJL$F8Hn>Xh0OQBgQa{kJld#@gbbyPlClJgt3
zTv96sr`mb<kmctZq}#Y*$^ZI{W#PXW8;)?m3pvll$oW}%#`l#6Rypl^ZYP{`gjJc8
zr)rn`xEa27PI_Djt~<lENDJ@0$NrqeFPswHhnN0C|H@8WO$=^owV_*tsVBJNMB$=1
zmWMy#c4~=ZBpwoyxt#JHUhQG{Ck{u)ngsX3&bF%=T(I=5AjKh=Hh+<JFDxRfl+y{n
znEg^fPu3r_FzbbpM#Q|GEPqAc-U|PV?7vRp9SrU4sco>r$VfeTpFCw<v%3MlcD=6S
zC*Bw9g`4AA;0%dAaq_-f_WKS~Ev&P-&36oTTX2}Fga7HUM-Ri<_iQw?V6!;(c{0Dr
zvb6D@Y`B-^(8(^irD8qgHOwh4pF-j(vCY$$)8OJ$f3K5x$}2;zH?Hu_fN^HBJnoQm
z-vgL$cKeNw@LQFhlegi;GfONTu)wA%r&}<!|5f1@`07$yml3SE_o+uM%+ptrZUTSz
zC>$j5nT;~$+^67w--l$#`~2z48cV0)+dK>*MeyIial7NN<pr7VB)%}t&~Wr5oOt=#
zF%my8*kt=&9d6_t(vO8hD;H&TV8=MF3=;oXn+Zu*fsMV7QIq(}QB^AsHMq3z$;DvU
zNnw3a9*zuqS3u%77l#@@D#CAyD0h)~k6ohmQEAv!ThyM+m-8=7j71jKRKMTw5FX{P
z3D^(&_<g!>4}U4slsyQaNE7L~23MUP{!bV#KDrpL0qZ<7?IFwkJuc3w!?~Tmj*Gy8
zd$JN`;G$P@f5hPLUOekku<}^lRet!$C2d17xH!c|MG*cPly^l4KJUx;avRJvJzmKL
zuh6C4rYB~*`-ByqAG9eNOGEq3AtObWAJ%OD_63$6(M@23W&PJbl)>sO6k23{B+&zQ
zqb2YG557Eh_{Znacd_vCAJwKjuy4iMa5NlyLpPsn@A!Ydr$b;t9v|uh@OQ1#sZU{X
z)s6p2z_BfLQjze6$6YTp;hC7e++cWffqFKXPiaGs2ZIy*SG?n#4qTPeBYy|(Zm!=>
z$_LHQ@ma&S_UgUUg#)i0)3t>2nAEQxhYOyY%NfA*%9V_#;Xmcs7J6`1KwiBb?9$b!
zqXa*oR_4`$)41+&AB8_GDEE=`Z?PD-`2c(|qFM3?oL?*ZSpr@c7??Ut%A4ubbHP!+
zuB%DHvUxvW@WAd`D{<ub{;=NJ$qsM%7Pu@7JD2aA<bWv{xzCX6BmOJebSLcUk(Wu%
zR~ow8%<w(86Px$KXGii=w!-sOUoBbS7U7c*w!=Td+)A0@Tff?7H^G(}>}=cN?>-i_
zH1IJ8lU6dnRlkz$o5fVTpE^W&u3$bazNmX9f8ibPj}9-xW#xZcW?>0)*N`dr$@gXF
z-|(-71Je_*8|%GaKj4_Rtr}!Lt!BEps%cnp_EF+6+_1sn&^MSOOK7zl7El}8J^|BH
ziS{?Z7H>*&65;xc>+Wr^##_C?c-TC6Nv;LX&q7)+?8PEE+y!TucFa75(;XKNcfzcm
zC#@gB)n*nxWAK{-%K{HrFC|Iz8@xz0p&kGi$}>9shVN|q5$yweov3S{huzQE(!0X3
z)XVqC@$+bYJM;j)p_b7}j^F>MWu_xMAlmCfiSw0KKG<^;t_Tn4UdM9VDw7je;H+)R
zy9BWOx8@`6i*SnJ=nX!&sgWka5IzvU&aw|aUt?Ex7Pj)75D|nI`DS)2!W5ESUgUZj
zwEE2-f&G0Yb;<QKZrFI32@aK){=Emjvf18>5uS_)PUnE<Q|(Sr!rlA<2E4F#So_`e
z*NAs^f1@MyrIMx9d>WQj>B%C$cOhLm;0OGQ+ItJx-%{qc>!WaP!TEF2un@=X)1To!
z!;QJ5zWSvt)OEubuePkIz@kYhyE|Zmu^YxmVSi(xkVaU!`zhCRxS^Bd$vc=%k*WFx
zoS7HQS^{?$l#P-2Dcy?hcq&XGa@B7EE@>^gnFBM;Pur2_ug!?z^%VF|-VGk|{Ch3s
zdoBXzJRwj=;+I-??A*g(hrI8-<oR5hA~Ea?M|Xv}3d8iKJL&GhEqYyjg7C+;X%8IW
zpcl?=<ax__+%M%i{9e7FpFFQ+D7iUpV8#j~cWKze`JcKK>^#{edl06P+9!SrR#&+`
zc!-oY++?H=ua!@QlJ6a!zok@^VeO@Rhe-T1v}()MBd}@9?_Z=plAtbsMhreQaz9)J
zjwz*g6@@F0+}of4i}zpEr-PaOW>Zw*=3r$P8aOcM50fHX%o=^-YYO&%r$vDp{BO&(
zyQA>x&vA#NFzY~+c^f=<LTeZKexvPd>)#5O3kKXE-*2Y;*4Jub-}mFYbYc0;O+qzr
zP_f|66R_A_%jd<gs*5Yj892UIthNxoomG7E6g-hwC7%oLirv9#0zaGxu+D~^R*&Bz
z@m}^FynU}>w|C>km*L?%DPl?R{<%GDm*Dg&rG!{Gs@SH4e9s#F_OCG-ek2&nb`9Pb
z60RHqPjL^IkomG~BXq9>!5sOF?6=_I7ZXE1aKYmzRvxgGx4}U#_`-T&DT()PefuNX
z1%BQ$Z{-WiMZ~t=gCm@{${xW7cx2UYz`bs#te?VR-$t+7!=fi2mOX|?TON+u!1uh<
zt;zR2pF2X^tYHzi&ax0#sJPPoJna2#%{m(1aqP-}#&G|;lbn&TB~N^q7VNuhU;YAi
zJgZ)!0dr_D?T>;h1+#<r;fgAOb`oE%iaK4u3o~%H(U5rbmb7>6UCDTV^cb`t-w$Pl
zx1{yJKVP=AkmD8Qx_JLRY*hbE#07Q;&ocM`ukbW9S;GRSw;$1hzy8`RYzEuBImx60
zi@7PCI1T4^M76NM@$W-kABX$HTa(z}aNfoOQa>2tuTfFJ+ARXRl;J?`xL!)QTxwGj
zsh@*wnH4ih=s$0?5hC};-TuC)IXI0*e^>$@IX><_0&}mtKP&<#4{kFYg~ektXUY94
zP0w<)4fe@pJ3;Pe0U<e-4meyl;Q~8sc%#g*05(z++eq$zublW7AK=O!$-+JGmN&^h
zDX>=h`wL`ynz7#5NwD6iTp=HPR)tpJIXv?1{RQ%Uac0MuZVVi^KYtf#4_^K^Dd!Jw
zVGu7o02}aETKK|c=SsXtfBx`?6RD<fEI*GhS<WLX*lq&PQz}G~^$#8qO*#bsw>4Ov
z9B=e8Rf{a_epO`?S-#iFlX)9_%+foRtp7poywVo9XkDa;^#3gm^~TP=LVN0EVNUx0
z&DY-4{DPwjrVGjTu3Qk8ABQ;|xXnrXVsMAb`YSB7tNNxCtiIQ+q7jxf{;`W(59&07
zANBB#0A6o$JsfW9l%&9)w<-ve_M%W>_e2t$I{F}zv`_mT7z;dMr$irl(mri+936Fs
zYrI$^$@Wa|n;YJPm(+L~E#PzOM}!^VksYrDF2XiGrOz+H?{huhyTUGC!_>^-qlL>1
z58(tp*8Fqux%pnBCvXwPwXLUNjvnoI0dSP{teXz(Xf16N3hPuxq-nttPOsjQ`Y-Iw
zvG*t}F5_?b41Qc)tf>S~-C4>d_m|z6O0f(aV%>9&+&``~U%pAfdL62{&*6)nmrVA-
zDf4^JCBggrsJumB`yjs@^1WuWh2JtaoGO;}wH~gRF{@{V_q?Y&S_emHO(^bww<~mw
zwZQZDuV2~@uL=6ae1u2uyX&ncVtnM&6G|O$oyjKW75D<vhx8^m<%aO_Uf6Jkg02Rx
zvQOaYhwVa3#K`{q75t)b0FJVk{FDwe_Bh$>hm&*CM^oURhZifEV2{1Ke6nEq3jseF
z;k#oY&&d3DtOhhX%L#~=e3?<mffJ{q9hcy-kYDqe@bipF({FJ44fV+PaM`So&lnt+
zS2_0<mT^v5>4%GJnf^cDoqD`9e;-Vv5IkFe<u4w+efA0d;&r3{6MSJ_Yu87ZigMkx
z9bV3@i|>HFGDB;=!1mMS3$3tF$U653EMKZ-TL&LX^0_<%%Poi(Rl)L?rYoo67gM<h
zir|hf`z|fQM{n~P7r>|6gDVzb|GL-B+3;Pn!|7WP&$w;=RXZK#G8@+02CwFrb-jg`
zM@~kP@iUv>aSD_2M^qB$NIYd_{?+r>u%9UPArZJ~=Jd=f*!IeqFd^9D%#c+q%&zY)
zdjO_alXw~pzbt7E*$?|~D%=nP?{VPhCGjPP%Cl#l!p23GQVMWP+DN@OEaKzUP2x+v
z_eADBVU7)r2T6Qsy!hQE7x>iLw@wmY(so!0x(8Ff7L_3JIVA?4O*i0Iohlu=aAR`)
zetVc9(_5Uxn-X80Nwk6aw?(y`fsJ;Df3$)PnR>-e!)#96N6*8bUwvyeftTA&uNcEa
zef;}K{4hRXYDk|rc7Mx7IH!S^Ru9gkyeeW2D-OT8uK^4Hwr{!wdr^)jslzS4{|VW^
z3pX9v72$@Av_=xobZ|;hm4}Zzj0uqMSJlU)KOBTV)(q9(f}O>!M-IT^A9nHIgx?y^
zpAmv(mABTB?^#I#T&@DJo4E?F6I_*<Ilmj;$u3#r3ja3k;pBw1Y%g(>`08(!OTjzg
ztEW#@dBb*{PYM{|ur}|#Ua%g^ZgDy|Azg+x241UmNuz?#7MNQ;gU$bJ-MbQx{*RS}
za~HgR((2L=*rS7cFZn(+*ZpyB0nSWovKohl_zTo#;Y)Hgbd&J4H(agDuwTwi-9PZA
zu7BK%aFF+{v_;q*6Ttq2OQqCKtih|pZl&Mh)7i)7*5QO5U$x2h-QVW-?Lz#%_`;*=
zX}J1Dtt%`1zJ6S9368D4TrCLihz(7cht<zS(39^&j<g2(8*x0YT6Q@H;TRvTFB{;m
zwN>%5aA=a87dc;_#=fqR@rQEmS55Z7j8}Z+<Y1xx!%SLm*1gE^1Mt?8>)*BE{dfOa
zD#89vF`pt~W$7(68t@-4^S|M6Vwz$)`To)QGtc`4eD%;tT|M}Nj#DPNU$P!}FX+RG
zuFZ#%V6nl-NF#V<zrRHye0HW?fs6;8790NgAMD9BF>FEB-yg9n4UXC%>}^H-XEHtq
zwx?1OBI8YGwPPFJz^}#{Z<6t-lypZ&%Hb?IL-psd{=1!>@8OP`w^J`*p(1nhQaDec
z;Yl)VarL)vF+B22RPr?}apWjd4SeFWN>>)#qV!3Dv_Bud+^Zq;5izu74GqFd&z{*9
z!CyiS(G0+jS{a8M;U0&)A3|tvm8<L{$#~s`a;Yj2_)zA6PaRClztKhw{*oU$Rt67z
zcU3$FQ*GVmUjgr2tExK*>*yJYHNbnWYt9~rhY$AbZh-^K8AEO0r15>_U2yPBV4)R!
zygSFH2Yyxd>DV<m?mXS*&v2Krw!Iyk#SxY@0yp*h|GfpzX{avFzzb2=bsXTU0$nj=
zyz&d_j4mfQIkw-M%m;K;epHu~*J?iUnFiMQn_P7TE=>;fq=)TwX?|XYXK7{!$$07e
zc8wR!;l&+_?#!^vD<OX~cyrFGG$WiRl6~t0ToiM(mkmC!V{5DqS-;nEf(iE9V)$1A
z_B<UMzzP4c$>t%?yRbbK(PaLiuGtm0U9gDAFU7sEeC4TB^1S;ynmfk<H!1gpP{9vc
zd%}6))e`YSO1O>l@C-LR%{MPjo_|b-jYEau@<-~1<oWkv--84`c;n;1_vHGD_6Mu)
zgL^GM50U5HjyI?O3c+f=HgyefzS70#2jJPQ?`FvJD)m|U(tcR;n3HuGywA8kS_XcV
zS^1;{9vc<>Ed_I{`)nZf@mQxwlmaXk+#*7rM~zQ?<_^PcUZHWM{?liBhpWILZ+mJ}
z;Y-n<e<{Ppo1QDg!@)m$L&*5`Hr8RQIJlfz^5-$QxF)eT0uEr>+GPs=TRCkI42w(^
zxsdVi&T~%&pTXOi6Uwi{dbGd9NcjtNCYQ+gd0h&Dd~*MCW}V#Z1ouqpj*$EJ$-Blg
zF0dF?;Zg?t!@25@2i)j5yq7#*yY`$^Bjfk2bu?ti{nSf!e4Nbh#Hem#RtUFMay3N4
zZNHwzPs2NCB(BB5_Q#Xzf539V`DU-+-Jue8)VN+fs%?}c-@q#KXy`^*>F~|@H*n&|
zTB$v-*7?wg53pPEr}Lb!L8-PcnSbeMtp1ub+^Xj&O6Ffmk~$+G1rKnk?k4jq4N<n#
zlKR)feY=e0Pm~#c{6*@Y#s!lcGJlfgs#35u+|Uw!W(dw;l+Cw<*PTN(M&azIuZ$nS
zOeS4ZBwyp4MYx9x{Cc!Mh~#s4DSg=H1-}X9k|OgV9kO~Q?E&wpl5tyt<21%~LgC3!
zH{Nx4eZJ{dFdS`}XukpZA;w|b{1afoQ*(@)Vbi+l?3ZwXHeLP}m{x3?Vk(@YmAX#m
zi@B>`@i+;dFt1DEgq8D#STf=4^~*m*VUHY-OKEVROi+jze4g$3Tn<coTcTG1zVcmM
zB@5<D2<9jAU+mU3H!Opx;=k2tzyrs5+)Cg-*G@6(z&h7-BU<45k25}y`6~kEwv;r%
z-#sSHNIs1S3%6DmEOSGB!+F^7XOBY%O#iU%B$+?L<N}4yS9m2rc+Lj?Q<RfA3U54=
zf8+|B{JpDc0S>j<`-RL8@n5Uwk2yGAkGhV`@8In|vR?rG=`hvDd?eo|_{<?1A$Yd%
zu+@E7yvVi00B(GdSw@!ckM52j?+<6XT9Y5be}{Q`ec&uZaVj#u#Did$Y(Kc}!>vg-
zc&Ay>d=V_tSEPOq78+&#SON!`PRfz>Ps|^@)&sxUmp0%H`!jThb-@Rd-Gu#M`HF98
z<o(M${8$socM7=V-A3NOIxO;Tg}`zh0jAUNAh#<^G%VJ@@BITFE?p=l`BO5KqC0-W
z#V1QHlKCSVG|FV>;S=d^GfDo{gQ40J8}U9UW#Va&2{WaiyS)Ma$i8uz%op)ti!lXx
zUvz)g5t|2(3x5@)gNucYRrBG`r@rMdz=}@$#>?Q>6<7P{Vea1dPb%Oa@2^_3!k3o(
zB^qGWJJXMM!P^(CZ??hqi=(PX;YVuj&1AWjpbe)g%vJtKuOGgB;gEk6ycGI);R`%_
zA}c!rHhi!za1!Re`gD-Ik4rEdk(`AWPpodtgD<8%cUyqZl~1tO!MDub^8JGcgbh?`
zV5S(Zo9l3d(P6`G*wkKO7Y*|9$~9lOcEZ8B?<_aNtx}%h-$;42E*di5L3G+k(HKn8
z$n|d*yu&-!bPbj{p#75M_r1y6;{6Y<eljgC0{fN)=*uBq(U~OHAp!UK_BqKAQ{37`
z<}a9ebY1)+{Phg)&4X}Y7B8(O93i>RDh12NYzwu6CG*l8_rb9#rFPd~)@m;fl3z$Y
zo4R-#R=z8GR{%aZV%TyQR&^Y#5{B<pihcEkZ|`Kg&klcP^^AB74`u)4;e`ENu5*XO
z{=d8*GQo4ZnEpn<J4+1t$?=(VuY1M8heUq3k@+DWo=q@~hX;j<1$V${j!!32VW&zR
zPcpxRSGQRCfAGOMb`f&^Zk}R4{uaJZB{uRG=ljOrldE~K(aVbcB;V1nQ+Q`RtWcxk
zPv*BcGFtk*0e)O_lYbT7{N@(RPx$NTdi_RhkItp<$anbjVw(ds*?vTI{X8r^c9EIv
zpI^4%>@0k3|4vH=xMIf&H5KAnK?*4}Z1CQkbNeab?pxlO<b3@6t&~p(PwR7>BJ)?6
zj7NT^f&a(ReaCbCJa7OfE2FYkM#-p@lo8n^vm{DJh3t$n63Q$ivJ#2x5=oK}k)0GF
zMaZhJtZbp8-|K#VJ|Fkqcc0sLpYiV_86vP@lI<^UxY~+qg2czQ3|dVN*km(xoGjd;
zKKX$kK46h9qYN7h%Pen&@At;`tH5t#xr2pafje(S$o>;`o6_62!3whV@5%lWfxdy}
zyI{}gzZ{nEfp<%Jq(5#)5~a;~c&B{HYgzb0cGgC+zBb15$EY+cQIY?Ytfx&?X}qKa
za|!QNkAyWgI&3D#pZupW9t9Vvs3$AKQ)1t5CBP{TmNkm7;HQ7mi7=;=yq+fP)|&a{
zKD;n;!d(MS)vpUA>y5n&cdzNe8SHi<xv-|Uim)!cL$25(AJ&(hk~fE+Z!_mEhS_fX
zu{4G4;zl-=!Jb=vC_P}A(tVCk;TyZ1dp%*TTNcdE;O=Zy+iURIm#i<!;g2o)QKY{#
zj*WM<2B!Pwp#BivY&3Yk8D87(;+O-kbeT@QgOvg|1-yWZkNO5oz$&hDyoK<Ijr)4W
zV37yHu@B&*tg}~VVTs4=W!Z4@BW2-v_(=YcS^+E`O!;;d-cIq}As?=oFuwQ)7JHkx
zPz(>==HZ~idi569YrLd?`OBMOQ$~1%-Lbt7o{M05LBd_ELi4`D0hXeVH^Qd|zv?W*
z`wKN`$$lIy*{edUu=t7WCmY~%PPI=c(Vy<xTD6hfFN?J|lnTDNeA$Gohi{s3Ol604
z3?hnu!GoHCUYu}`ZN?*VysKt6ha^0yolCU{JFrbn?}z`a)UK|;ojGbTda#Opl`&Z_
zpEqIba1;)%_01;7$JUQrI}1}Wxvo#a(q#*$EaB&GcONC+YrAKV^Cfs?*&yj3eANGR
zg$r!0P^L`YCsmYR^D-<z`!$>yK1ua0-W@)@&24xyEHNXv(FxXdzZ%L3i?*#vIKW?C
zF%7cA4BQGi=U`z)j_Z7IOE1T}Gw|lJ?0#PORj`rjNw_;YPjojNKE8g7jBn769|+h9
z-+!q@r2~hnNeYwwOA60y-mL`-y)U~e0k=mUO()|Wv?uU~R&W{H)+R-mWs|Hg*$-hP
z-Aq9m-afyzK?CNEn+zx4^G;MMpE~TOxo2GrZkUXyCHpTl6wU~X!sVqKd9`8DTFHC-
zu(8HmwE=u?^IXkV_=B=5*D?6L{{dMxcyPt=)k%2t>5K&n?AfW~LiT&8A9B~CfGHhC
zSjm16-(K%^T}S#5(#mi;4I2cyeOrPh7`?Yx!sZ%c42$qW<tVo~9Aq}-*bC<|7FSur
zC3mu7dtgU_96<}%H|?QqDZDw)vf(_uxYZ)6gdCsom5&@x+nY*B(*NA)JGG9mw}Qb=
zlK$m_n0d*57Pm}d?`Ohd_Vv|n@M@|`Lpm%_qsZk7vv38;C&6cErt+fT&8K<0V&KA5
z(+y<5mx$=II%Irg^D&LtOgQD|?y4X-&-0OX25iN7=>QoI88_GbN%s3VA3<g64O={a
zr1=mQXVz_Vg$<ikC!WBn_FopA;jH6X>IE>f{x&BY_}FckAJ1W>u!2}?SSRdPQW0F8
zamddQrp*mfEQj~rY{)c#+gx)r$?+e*-K8Y?CF54%i3+$-bNfz`zfuM0E|C37E=Vqh
z@xsGp)k$POlX3>XLQ)=-M{b*~gxhp$cQC`=^DznauqwT#?q*nbd1k5>Hp-2BO#}ao
zG>dx+&*?CYlJcmowtV~zOmW1>{13{jqt^wZKfoW}w+F4lyC!`{Tj4%Y?&Vo{|5r*|
zsymqfD=SF-9d62d#Y6+&KiL^Q1<#4Ns*A%0n?sI$gWYHqCicMft^2=_^3vU@ThItL
z7rb_N1Rh#m^)`eBj5;^<!cS5U^O?f?p3+PAz~1Jzo+j{$>bblRaAJxF&1KkgkXyYO
zRuZs$;tj_O*Sv3s?@kHdi-zYmZ&P^(vybqp$HFt=4R1ffJ$ut{rjz3xW;n?4MS~f=
zS@7*?De+-A>fFyQZ{g8@C&s(st<rt=Z{U*AlC$LgOamNDAK*Q*Mb}&5x2EDH?eO~b
zqg%-M)TQREzk~3Tud?Qy@O0>){x_I;lgmZ&Jw{Um=O*CqdS;2_e*bN7RGWrfWo|v5
zhf}$vC1?^cUfM3lPwE@;#nhoxFw0zKJo(-Q6W7{UVVg#ifg$*fosK9Ad}VW;5&2$E
z-2z*<VS|YzAM!jmj&k^Nzz*-7Z5rW8slx*Nu$qbL&3d@t&Zf&-VU5}Re-&_N-a+0S
z@XK?4A}?VEqvp4QaQ^Ud=0|YT;RzQpSe!yo_91*Y>RF=*%sC$M_&%(!GqFhqPNnBt
zPKLwW3v8v}&0E8r<KWLq_4Eob7r%ad47`3f#7Z8{i7KZHgJtL+=4rzwp0Y+E@R4Iv
zhPv>STl3dQ*zVMpd!}%UxXdn6pA@-NH)jHKH0GoQz<;dT?wo`B*-tfGgHI$0C|kk2
z&;C0W3JaauGvWXjACLFE4wtw0$lJp|{HZ4V;L}yZUtM8EswZ1~;Wfu785cM%M&QOJ
z_|o;*FP`wjm4<vbc-MLP{T?v)H`#6WaMmSRpJ13R+2_J}_~L=y_CT1wU~0$=Hox1#
z9SiGNZr@`9A6Ia^7!6OQ+{ru!pMSEO;t4G1^zon;{5ZbK<S}e<UiXPI96Ic&Q3vll
z(8(_kE1LehR|AI$=-rlthu;n<H^X%0P302s4-d!0CivC{RS8k}oy7KmPw-2gy*@&)
zPGycv7d#Y|JIw=|vhCPD35%VaJ<AT?I*@i{91g8??qY<$EVR*WOhW%i*^DDKJi=yG
zL=Q`eU0h^>FVZeAbHlF+xmD<43+=cJUic1Q(pwf-zC&zm7yRgo1p8*VdL~q5C%m5i
zEP@99FGK&^KKO|0N+A`zHkWru0&ZyZ6aItt3{!{GfDFu~_gZHat~PFxk%nJNXuKxl
zujN+3Uld4qa>(~-n4Y^|@(?`QOJ_#fPa%vtS9D<21pk~7nA<Yvtv>w5$Nl93Tr6|W
z#TcG-csMWzYkIJ9o`P+s1ss3F2RJ{xJOkV8Jr=zJe-{a}J_k4XHF8tpdHE7GY3<>A
z46{oA5YDqlJ<kPR?r*f;j_}UYOh>)oT=VfLL73&ly|gRjeBt&?5`Ujk9MuEiJ3FVF
zNc_F{_)+l&+}5marw!}hd^{8dQ-_&F9)Vx=ojec=e;Sj|AnD2K>4DElFy|iq#*;9=
z^PBcmSmW6p8<JkL3JN@P;E#ow5v2V_YvR$A3(MvCr1``5OU^hwg{#E_>#xE>^!r~G
z!`%bMJ-6WZA=@k~VBOJ^YvlL%wRQ{rE7+m4IxGRMpr?FN4~OllEQp5<c$ZE#!Y%_s
z2UFm)`^Hw^!+UP<T9Ev~k99b!4es3#G@1#QE`B=l8CF{LV9bE6^FPjX!-Xne?)*Rh
zF>Sd$NPOc>1<8NtM&2t9!~Z3SYd(eX|8hfP@U`6>PETNpq)!K?;3=10|7!TA<j2no
zuu*t*_A7YHo9oRR?qYnEpEroKzXYD7IWxdnk_!(=`|H+`Dh?*N@vVU*DPLc%_Pk_+
zU+ob-Ny=BjliQiN;E9l4M?u(1M7>A=4!w{UP1<ALOhW6T@Z5J>b!}LzVAfO+PFc9e
zPuefpE+>BPhU1q1{&#~MzkV<60Ni3x$3W(9G=2N5B@Ii`aNUW5pYS=wYQRb12?OEq
z&LpuPYVaQ~HRC|Ib4TGmLs)jD=>An$EXXd@0G{4_j*YZ;x@C;HTwy(5)`z72Li3rz
z)ftvMUcZ&pUvhcguHS_JL@E@L`5YsE9ZyEUySLBmFov;h&gCY!ba1yeX|E+RvTSRH
z>*g<Z9))>WJ(vdJp~np><b6H1ue=z7&&|=b9EU4?Ph~B`IkK_`NqdfZZB%a+4k^4`
zYXrZV7f#rijQWD0I0HGJ{ce>K159zpG2t})<NnuS7Fck1Rrx9S5~p7z8~ob-xB5A_
zgsR_rHwm}tdrI1Whi0yC-vh6F<Tym?V+R%2pXtII*f+i-^HUNgUYP5{lM~7(&%-*i
z4BF@6v}12;&%hZhZF4qovdNkrng5a|n_QX)56;xZo`m1z`B^@OzuM36o`r4Rq&=#D
zfA>#Ylk4Z5i8%2J{$t4VliZ){Ny|tt9I8Khm9$qGLi?k;;TVG?2a+BfFO3`+giGy$
zqsaHm&svuz$4d$@PD{XsTUUFAVUK5vEPLVB2crA?V5*T5;|%a23)W8~aK<ZzO(Z=F
z%L#~+<IhsFg;2m}x6*tVgP%04JX}ZmR}$YM@&o?k)Xw({)>4>jo`z{zo~tgxf&r@n
zKj9IM$kIu8JwJ+p`X1VI8wG?$;pZVymK)%w8&;CO!uuL!9<jhzobC^Pft`XS*SEkz
z(N|7(z%tSQGPz(*nIk?Q;IM#|We)gw+4h+xSlJ~~MFe)8ES4qpll>Y2cXq&DNihYa
zezHwOLtY%t6gFxvhY#(OiP;4!?vp%H1gpP&_E`?@+4tmD0nAmNw&x&x*d~%H2fiD8
zrSc@)-C-J^3SaKHYik0VU%bNi05)hjMt=^b3fZoj4WFs3qqBkSE?yZR`9-}z(Blhm
ztHRa|m9Tr=gGXL)PG7n5G~DNZS^pYbvv$Io)Q9&S5Yr2WcN8U4(Bk{+nNrL|z#TXD
z3RA;JPhZ!#1t0izT8{MRq~5dskpRCk{$b7rvuZCW+=b&VZ@DN8-+AzPFdd#befPEy
zoI&X+oefLxugaBzMcp*67Q;N;HPicGfek65C9u72`xQCZ>fr7171;dboiZ_anTH|a
zH!QVyUriDgbZzXTPeFTeNh^F0oG_)ee<M8bQ+0g@JoJ#cKnb>cE3m`~=arfl$icIp
zxJ=gYz86&mkE_BhqsM$ndqUm4<+v=|s&`1a8J<hIvPjOCRCKo@@!en5vq;XrnP5{-
z;_FNvpQ1J_f3uaI^yl64h>kk~TUNXcAmzc_o?G?Ku<y^9eM#`AX>nIqc%(k&Wjf57
zY4+k8oV2g*A1QBIR9`S$h2>`PkI8T-wN_yW{G6xfE~$@7eMzSZhH2${H%Gt>0_xLu
z;qY?GD<QB$M7%~4e7}`un$!o+XmGxI4^K!Aj*#;6+^IwMAK`h%QifPqf}xI~4=!xD
zzc(6AX&tuw1{=P!7$oVHH(IBPgvT@aydvpYOCiT$1g1__{oW6Um+3G~z$bQXr|W~`
z5`Hkvz&}@Ja>(yd!1qqkFPKBE<qc^sw5VCr{)Y3bAM}y-oSPa)K4mKUFK_y;lm10M
z1<I3DuwbuUILRM0H*Hnrg~fc|&64!T?ZY~`6_)*7;=2hBq-l!Y0qZAUxz7kwYu3q&
zz#oPz#n@qvs;|O|u<@U`7*hT<y8ib;37&HI=HY@1!;(ET;j91cQY7h_jjQCXHk|uw
z&Oj8N)Nye+4u?#oxs&vqCl<(k0%i{l`b*N=ei4ONrtoyjE<tg)s-=d_8fJEjYA5;a
zu<DYV89XRF_QVA4i~QGY52vN~|4o5yV*hh?gWpE_3f_awXO-&R;nSV_r5?k7Ht(|c
zg_G4<PUgY>+oG$k!8?`w9V=j2Q-7-)u=hTesB+kjZ?-HP-Y`^~{uY*Y`_DWUHa=-k
z_Xalpv4bui4pJ7?Z-?JeZ+)B$XKZ-t+6MC)o;{TU3q8NS@)?dyJ(iXa-(Cn;`Uv|l
z-P0+6<I*kOkp8>RbU`xpu(3_O1UbGqPyA*r+`n}`rxk8k<&$^|e|>KK<{ix5(HQ&&
zKGPDXR1e$D$eS&}>&M3!$@A}9%%NF^k9w5csUhd@<dWyVPuA1Psg=RJk=sXj;DvL!
zdrALhH|6ge+u`gF69zf(E^+@}LHNIWLQUlRK5I4f7lRMXS&t>d<$Jn1Mc|8DQ_jZ0
z!y6T=6=4G*t;R@L`rivy1=vm_NFfAXQ>9%ugcH)3vaZ3^ZQdu2!(pY`++Hx_<sv0}
zSlaHnKbe1Op28Dv3p0DoEt2wg%cDcruEJM*6wIyQ&9*5WzOZV5Uk9llZ0gQ=6$dBu
z<QydRiGJ}l=2-anr_m>*e675rdpaH7d3|>72+TORLX`<$nkn!j{V}<nNA!x|;7bo)
z>%r=iap{Gya@vH91}uN$(#=NrT69B-68uA^WS|~CQq0IIL&7Wm6Zr^dUmQBQAHI>B
z*U<&HmLv_z!xAt0xWB_bN6dG~!iUVgF8+WMOd4giVAXO~_8B<7DE&04UvaX$yf6>@
zd(k?df`>!RxBQ0p8}{8I^|3zf>*rVCV{<#H^<kHZ?Q|4r$e*7779sDu)$-EQzX(65
znaE1+A2L8|M2+x{3R~%eFh!|M208ztmH$POU$=!8YmoCTLJi_q;r<qngjIy^q_}$F
z|NS9-!v`r5E_G4=)+dAybzhMt*RL!UpRI&rF86g)A-w0oZx)ij>C0U1T1WV1zaCGL
ze@9!ldeb6Yef&XU8vL)A;yrnupYLaw$av3rCL=c{SX8J&g0v?TZ(pxxfZy3rKOpUm
z-8=#eys+*{^cd+cs0-6Q%MGvC_MQ!ZOU%1-#NfEKQ(1nn@6Bh&cfn1|^m|BqpCXbj
z$N&~I@aZD?xkmHC9z*!+px9ZG-_z!mb2`BJX0-LB|G?d(sLl~y;wjb-h1(S7Z7;!l
zH|V&M>j_s+vv|O2;S0-AuwsJe>0mgRg<XM^C&KbR)Ysud@vj<4dDFeSDmN0=kUBCN
z13%AhGP(s<`2KXe3m2bdT26o;I=RP@?-Bl(H#-sTzQVngly7bOtdFF@X=Qg6@59;0
zz2?*5n^8(lr2euet@=(byr1{w4^n@jyZu=$5AJ$lafy_#ZF$@OD}qnNe~izEX=*K$
zO5mY!u7@Q49?ujERl>A75pQ0?KVB}%y@tz;T6)QNm@9>De-rE{Bm0+>=jX3_gg3*p
zx}R>4`kg>ji+DR6?5CJZ>UZ+}E8QJ%j!Ca1>7Uy1!qD#v{O_~k3DQ4h_vN}+AKc*c
zrEdVf>NnUj0{_rDxJJsu84oV+@9@cIouU81;)5Q%Q?OE-_@i&|$HzrYKVj|l#{E+;
zP0WQ&YjE1Eljj(m;9vA|9cI`{wLS~?j9sAEoR0EiC{gt%Z1ktRU<;f^v$tgl7IqH#
zDg)m#ICYU+FX+}t#6h@(er%PLzg~J1XKdlmzHe&A;R`3cpPh$uZXP;F`tw2z8jUZ&
zI~Goy9)$1TI{wHJ=Cy8WBk$`}nyhyTrYY{5>4FQzcci<)LV*T$?_udcdv$NvtIR5l
zeD6<ZuZ(-Z{W&_GBtGI}OQQVX#Te5&Wia!2gVYsR%StWyA<Vh5@;Lw&r!dGS^<BS~
zjs90*`xmmYr2g}zRC@b$m~W%{Gm;)9s17#=!t$BB(gNY7_x2aU;hNk7ul?a)$`p1X
zu%pT?AzQdJiJLwW=5I>SI1i6?lu(7j<C8xh>cGEW);_!ix6UuTA^lgvudFi3_3$j>
zq(37@>ipqYxN`4t{XOveHCh#Ny;!%0Pg&t&>b2o`xc72iJ2Si?DW{)YFZIZ})H3>0
zLiWZ4+=2Pq{uwX9AENU`$?*+7BWh$kT#f41+hkbc#jrK$-+4NadodBdak#;t1Kz$r
zm@N(Nk*dA;0TxW&Y@Z7M&OY#ijK?=|eW%ZXCw=#9Y=lqu|1QdanG3coJ%@SZn~fg9
z3$k>a#c<=`g=5*U$^mnqyKwURy>t1nlak>*GC$zz_T~62IN3O4;sWfkAy<Zk7hmyV
zbb{OaZ**tEFNSl>RbbWP9lm++OM#TDO7PfW!}|O19<#eIDPb#*&$bWXJnh)tf0#ev
z`u%7Ld7mv7DkWdxwUZ5}9>PLNvY-0k8$XUbNQdWWM+#rU=Ti%{a^b}2o)2YkYI34F
zdA>wOE~zxQdT{<bxqlQJlW{7{l6pgmyx+gsXM25Nly0BM^WW5bc<c(SFC*qbp3mgl
zH%c<!Jn{W$4)T1SFM5Rzz-Al@=SY0yzfC{)3-euUHyTrt_oX{}H;~MSX+Kr-h@2n!
zz|w`xmkHa|p-awR>pvAe4C~A*&XePlxdr{&;ffs11oC`h)NHA3aCXS=ALM;@>3Xv^
z!N<?9M?8g7`5mMhU^z~^{RJ@HZ^>=X;g_GRK0YVmL4s<};F>&kv0|8-`+C_UI3khp
z?MwJZm|M?7xIxP8Vk!KBTE6iP>_>5ywHiLRQ)raTcT(f7eOUp=g->>p`B1+aa?R^t
z2g}ZdKytj^>8CYtq1-_yGXJps_Gj5a*mj`sCz+q<<>YtsE3D+pX+!24X2q~4^JXCZ
zSQt8)!lgkOQ`|7k&+4J$@RvZx=xuOXyceYbJZu&q!w-v78%`_1hYqQB3lpEE*`f&B
z2aj|J!mrAYx(mVI7n3~1VCUNux3|GYw92kRFrBZ~FET%ki)n1jZrJV93MUQx*=0kS
zC_E+KNwrAkw;AW0mVg^|f`sScr2xr-J@5|U>3iew>)WkIrC~9?dzC-n^y8Pb_rcc!
zh6LK+pFFoCmEq~A{g!0Dp`qv2K}Fb_GyOA}-#S+RFz_&Z__q2ona>(fx_$2v__|V8
zAeoPt-&)vq6sBhI$RzVwbK)iZ4B!x7D)A5Sxl2`iCh)_=`+BYL>(ujp=inDswtvWc
zNJei;etTFnb$RPAxGquqg9|()CaTVj_pK0|zvu;j)_-PA=3}nDJG<j5JpAEPxEx$U
z#oibK>kOLa$--fF|60OfsdLksB!2$=d*vJp8;LmEk@>FL&s+tQ;2eGbC=%ZVs|Rb-
zVEVPi0#~@}Pe|({crAJTzf3se);YH#xGcq)HUqZ5F3495pPQJBA?dT^>))!Eu#dvY
zB9cBo{R-o%f+LoX*O$TENA=9#!>20QsY}T5uXr}L!TJ`lw_d?c&VTbh!52~{pH#rM
z-Z@lXVCuhvHSgdig{TKZ@V_dV;kU5<`#-0D!1dysbW?DT%FOR+82hq_O~3{nsg#Q_
zk5*GX6@Kqs5ASCGfhF=bf2V|PCfwH6;jpM*zgXe>T^G}7Gts`eB+tbH-(<4Z-w5l@
zKhEHR#j0(lx4=fC6E$4$(YIzPEU=D?x$ZXDCF^|9PWYhi-+W&9!d6>}-7rtJlk^Ta
z{y*E($6;j}kx%4$b9O#7C*WqLn6pCgk&X+uF2bW9dk4t*C7YrTxx+CEY7XT5>GJFT
zL2$&LV~+%hIi8A#z;3sS_mlZ}-<}K955N)?Pm9R&pObOFI0R>KFdQP++Z2C}bqwZo
z?lt9xo$EK+j>4zE2DWd3U+B-#PQ$18j?Hd@eI4{lX5e!J4}Cb{txYudXtU5?(ZAS3
z*4wPsWlmAUW`Su28{u72*Q1%>7ZMh3w6MIRz%T<$ae#J|tiPe9{Ts{*&o<Z4{DqHt
zC46FrZNx8JU4Sc<UA(#B>3pHoIau`vRSPG4%ej?x9OgKhzeyB+dHTQ!GN19|u!5y9
zta4<axgR!3_>?ULUsjOWNY?Wl5vg65g}YyW;U(#T*&sec8Gh4p?a&zPb^GQYHCX?j
zz|mEBuHEv!4tyu7%6S?7*=)O_4@+G#4<PTy%d2+J82%8rm`2{Oz46472^`1~^Ngg2
zr@N(+&cQahLLD4%Db=@h8<=;3+GQVX{`Q@kGwi-UK58#~j?;R^1*Tf+;~?v!GP3mJ
zykPrC8yQkw9jyPM><!1TKdDxPnK`?L{Nd$Q$$>-g(sd5SVEEIn*Ry1Omfs}pKm_a*
zr^KuacgjDBjD)w!g(Q>tnG<#ydvC)}r~j58hsVS9`V!z-Gc|Qn_|{eYr913zS!zYr
zgB^08-JJ$&$FEMDgO{1wnP0$e-;{OC$nh5=t4rbEssWwWa4hHPBcI>_<7ESLSV%@_
z@iQ#NBK_q&eCjui+$ik5vzv>oKdX}O`R@mO>MKj81ANr~)vje&rX_pO296p?>|TKr
zy!#zo;B9(l=eV*_zq!!%pDldKPGb`f-0Mx{<_hyi3mNW&O#{w9ae}2<*#7N;ABQB$
zdcfnWL*G?l_Ep*ha=nS{ukq?|&CY}Tm*M!ziqD2HADfH0I~?I%w(~gbc}=;~5#HjQ
z(P9GoIvUTB^>p8@Qut26yQM@O$oGi}4yZl@^KX<7I|FMMUtzX@#r89<llic9Cfb6@
zu%QIsFHJZ)#<BGtJeR5wa10)jx%sOGW@~!KL&62Us&eY!#K!5Yqp;r9zv9F2r94f6
zBQVot<=zpvnbtO!oS&lNZbg}c{Lsr+NDJ;-sM|sXcS$BbHh_;>#XMtxt!NBe$n~y`
ze?P|r$K1GJbP9gN_neX)o_)04ojmVO3&*ouaAl*>b@IKxW-3w$!nID+*(5#>n%*zm
z2A`wj+v5y3k7>^Dga0yIbR_XfTU(g1ANEbZF;CVb_A*>omxs5k?__a<cb3h~9)eR$
zl<s-MsZGuC>hL0Uf4LV-simNH7{0k<M$I2)=41b+2j>e$SYCx+B>zr50Viy2yH4td
zzj+6h&EST0%WP6VoKl@!u_VWjr@SHaiK(MjPnp7A3QT!5@cp)M>$5PWk?i4KIP`I3
z%_-P(=L3;`SnsXCdvloeeQOPwAN=hg=Wb&d{eW4^@LBocnRBpiLadb(>c3p06!G@3
zej0z^e)t339aTp->X;b)Ay~?{bmSt;m-|#q4(6X8SMh{D?5L5~fmJ=2NBrQNHTBb4
z@EMAQpMmgOo>L2!@E3K11F^7xp`IjJ?^@TmIur+&%NxA3g`KaT63K)sHKl%8!CbrO
zyRzVE5t#r|pI5jkcR3$63(vUk07p~J3Kzg$dox8Z!797Azj+Ry8=%v4gVnBl^?E_9
zP1oiPU$tT8u7c~d9H+eC17RIa)$oJM_Fn$*f*h@56MU_q;r3P7TJk+tGpt!&%Xb6L
z&fQS)0gf}~RS1DQJX#$(VChYq4UurZt>Tj*_{RE63bMYp!f1=d2%K8@JR%l0+f$;x
z3JXx){7%*byF|p#{f6cH0$pyyp8R&cJP+{wrfo*a^)h6Qc5Q_fMNYdVz?Qz3e`&*q
zUPuc^z`gNaT3WD!!I6|ec%i*M@)VqP%)OgDzf5;kzcIYdapRaL9DHWb-vXXuN_2LI
z@1=ErFoWl%^1eC36+T<oonU|FT0uMb#iI?j4sempr$iE8k!##^7hz-F{t~i2S;%zl
zku$7um?m2nR*hoR^MpSR(bsCjrY<v6<oHX~2c8~;+x?fKufPi|GOaRj$oKa_9<X4{
zr2~9$XxN(_elUl<`*B{_KP}mwTu)ZLX3q-Jt5xU?`m69Z=NjE#Fqeko-^*}x*~(Lr
z-n(Aur1`_Mw#%*L_h4wcKh6i<qa-0!3p3c#N(I4m7sU-<!_R2fLjvINJf-GR_@`2v
zNEkfccyP1?77D0*69OCFwCKu)W$%PIM#2?mjOR1qchWu;5pe35ontcWdRfsT4!-li
zJS+*m^IT;87F@y<<P{3<?ixx*SWRi5$L;HI?WL~S+wh!4C<Dn47OHN>r@&DaUORo^
z=ZROpCBrtq!qYFoaqC}2^Wg6pXZlF~Ki=5loeO`WcRxY$w*W7}%2N2_Yq@AESXWEl
zsT}@RDa1v}llk=Tj5Tnq$3JP3za<B~v8aZrG&u`M{%^j4Eu$6g$Zq^W%D>vq+1Yon
zW7gNRM)2V8*!Yj|O`W2vhHwI{%eM}=Dz|w-8@4dpc;gEkCwG^H<llCgBcHlq%U?y|
z%5eWSAMZi<$Hi+86=Ah(!{)E>iReUrQeSX9_RaA>IC}n^0%_k$FjZ81gA?6+ig&@A
zz8$fcgu|;;+Qs05{ac@m!{YZ$wFKc9)7`Tx@N1F&;H_|_+Hcima{RvKRZ>5eAM+bo
zhxfQV|9}1X3!|>o8hrb6Tl7YRU)`yGndu?MKh>04sNq8jjBgm=y*;LCq`sG*{)?U$
z);FlQx&kL=R+w?a8`ydlX5i09lkbbc8i~92k@`G^%IRqlSU61QA!&bamfF2v2ENM~
zJv<19v3(Dcf*(s4p6-S{GwJPg;UaC{XC3fuNmn{8*oCP&y#_vL-Sp@fEURc(Mb_82
z<$15_!-YpYq)Xvh+IRPi;d7Q$CrJBbD8hI01nk`+^7b*T%Jw$O3}$aD9wqC6raCTv
zJq<S|eL6$hN0MQvI>AS8obyYE(}SEpoP|>ggXa_B7VBph?O?7@dS=pIr%X1lwSoU`
z-WwJLb3aV6c7~nXi*jzlTUe*59AP)9m3SX`bzS7aMcB2#r^p+wk#1XZg>Q!57juKN
zk5VRGhQr3UYLfMct>p%C9`Lv6^HLV@{b#;keBrC~L&weFtno|lyx;?BdZntc)8#nl
zYcTb2<40xqa=zSCa=k4ZPZaUN76CfP{o$hD?^=1`50ro7z2P)(<NOu0S2qi;O9jAe
zRjqGG`}O@k22paqofHT5lJ$Ll!xV3V;4dwCx@3J{u;Doea=rarQ*xxeo%-!4eJC82
zY;}sXr%n4F=Lf?>&Dn>`;9NQHsW>>uG&JBjoHw>zDHc|-fAov2SAD^eTvG^JbErF$
z^{rnL{<syvsvUewWPM-9es-AwIP5F^gA7=5>i&&>*mXgQ?=CD{;wt(berM<-PuAx(
z<o~)n0;{~qF1iJ8O0VOZfP1%$wnoBp9oi0K@Zfi5O|qUmetrx6EL_fY+&T!Zu}UzV
zhV}IQzFdK8J-AZVV4>_8HZM5kW8&l=c$}Iq(i#5Oa3YE-7vtwU4IeqdQdaH#l<?t+
zYl7DBAOEmx^ziMKr;3&^e|ew)EiC(<UfcjKE#3Ee6C4yTuYDALZ1i{w6Wo?#_xdpW
z!vACu8|-rOcE398_EOi78UEe!vt>VQ(>OK91>ck69@_`+J8!4X3HK#xo)d$!QmDT1
z!#(59S4H6OUVc)1aC*VL1+u=mr<bj32fQ*~&Ab&(oQn_^f_0dFhOxpdA^eTIU|Q+T
z518TOpW`@o!e3t~@@<5T6SkG^ga5uUlc$Awgm2SIz!rHCMQd1Z{bVzLt_=L`K~5`K
zFTUP;Ygr0z9{qTjtj89fXT7TcSF}!Ak@exUe}cy3;a#p<zl^~R${Qlo;7}FGU!!ob
z;lM6sShFMM`zJW}@~IY0xXCPwvJ0*Vtmi!pv*~wUc?TPJ%2w*ZbTz|w-ohJsvKV#Y
zerDE9wXjYSbAchO<0i2CHM}nJpZ+oUja2}5A)InU@8?O_@=AnE0i4-dqGSv+@m3UM
z!}F$`1Lm;E*4nq3@Z*7N5@xUw-@IxvT$0q=W(CjC{W_BbCuHTiorU?#PwR)mSq270
zE^zW|lh9!J_RVJ$&alp4#F`KM)MPm5CaflZ=8`-7;pf55a5!;${FozL(?R(>9X3(Y
zRk49Z_+MCO!k;Huo1NjmJboJGBs}YZfITeqv+8y!%z9?<&RJNqK&q<|KL6zU2Q&D5
zb&+QsEWPD-l@5HTa)iAFR`hS~)q+bjx7jws5hhe8RNzv#qcrXC;b(2GO7K_Nh?8wF
z`vm={G&%m(v!zdPutetuDR?YyQnL&0Y1-tw8{YKsmfdfdzpI9RJN#SIhVw7{RW>Mo
z7yO<+^AzJF^asifz7v55DH<Nq!z&lDP!;~WX>pVrt_!+&l?T>eW;w_O&-^G}V21NM
z&YCE})~uDmbTHdFLpl|BORgs)38!AYpmhvxKN@|Q32y%6o}>?V8Go*%g1gECyUk%M
z#*xK;8R*Xl4;C|nKd6X1FT=-1Lf%-xSJ?}~m*C~;5H3sD>(SD`DVXtcV3|G4=-|OO
z3Gb-!r?Z1^n^)Z)fjK-c=eodLv~op5uovScEhl(N>3!M<*f-Pi$0b-P^KfM=Y}sHI
z<_d>Y_T;^SBNWxeF2mW~$C@hObOU8?PgrDAvQjbpYH=IaRak+Y$*c%g5a24i0<V6^
z&`yV4vS&F8VHppbE%9*3C&s3yu<m2_yZ7MUt3@=gVUxoZ?TN5j+yTvUSU_p*i6{Kl
zW$8N!r*%2n;tq%H;4CSE`L?tE6@jHkFS6&sLM0W0Vz7^vxb$6kRpfqnXFBp%rw0kK
zaOyjG=Pr0XqqZvomKrhCDTZ5YwPb?fW|tp(N?^9ggAd){x2je8r{KVZTbkZ5_bo|B
zW4Nk_CiEiA)*x}@0L(#uRD`_ms7<D|Bs^mDgu???n?2La2}f&=m-xc%Tpzx(!^Xn&
zG(PaR;Y}7y@H-9FoIp5x(eDZa>|l9z(I4g!sGOmMpFWAb9SU#e6J?@+b0=D)LST*8
zIlrgVP=9UUcaJCM>$*!#!XNL+){*z!6JMM^0%u(^vm)Q4!;t;W5ZrO&(z8Uka>ZD=
z2X5A1d;bbv^rCy;2CwG-x>^lWwbU7R!;E(W4o<=RVp{9(;P^w)KYqfG<<~;HV4saW
z=b7>_-YoZY`8_<V^y)bS{O!zN*9Lgz-{fO0xX!r1;04UhD`cSq->o^_Qw4w56S;R9
zp472mu7D+i&+D4OXCBig*TIq8cH>sCLmTCb8hG;APaRwMd!A8K2W;%}C(IN6#H_I1
z3S07O%Uy;CUk!(ThJBU{y05{{+S;<n^R|0th6TVX%AVq1VNaIFqG51ux`kFBETLo?
zb`w6BlyiCt*80z0G#=jT8|FCym&7%Ez70!m*u6Fn`}coi&xUKSk4VqJ3J<g!b70vG
zAyv!pH!V|}0{DIA=`Tw#?YBDiLbz;X*=il0^jey0fb%z=d$9tWcspe^!SfgYD3SOd
z=ZYNq1pgNl=(UFM=Q11Py5XCHyz4Xw=LzAF9E5e7KJ!q+79J@>L$JXQw=9yr1cM6$
z#^5M^v1*dO1`o?fPQXi)uaB_7{uXCkSK*(#xA|{@pD0WT{DIS{OKG{`k_PrO4Ed<9
z($OlD^lMV{coP#G`8m0X4}MV5rMDH1dET=|j<4<X_{#^Ecsqq|hdcEnQiNf*!&F&<
z@JN2=UorU2_Z`p4?<IK;t-?XrEbYj|9ysLH^GP|_x}eKl2JZ9ca4><hbjF7E!rNbW
zaGSzcirgJ#Vcr3G=>XXA&C_{u{*^s0A=ls#`&~}L@Rpz(wNbG7mZgksa6-d#=15rU
zs~b0Y-sj)yerCeYGeezN;hfGf#SHkt1*#Ex_<GQfzFb(r%5;qmj(Ex_{t$kD^Rwqa
z#7A=^4Yt@p{^`6cmc-BKiWpA;Y`64~j>NZ^--cgxuukbsQ<6SrZ}Vx^!XXL_9i#9j
z$HDDAFr#~`&@g;{?}yGW@Rne`$K!Cdw%4&0c-wwXZt{DsQ1P-_gV*@4Kl=mAx7tw9
zJVySWm;Zhhemrv9YZDya|L-z+|5qmQ>>TjxYXb2?a92R-Wo~%1a$~j>Z2a#f$2ORE
zV0-m`xH7+^X*>Ki{LYa>@F&l&>Z))fMSC&H?+n_h7S&*HDpdsqn1_|_fFYb{eE8Bq
z*g4WR!59wg5)9UcncOc(S&;Lic<&#9Kd)-7Si?Vs-c~!nd#9vL&0(3Gj%+9R)yD^w
zXJMMf+!8-nEAJ+s30%6bF!>tHD)h(S49>N>o*xZY_jV7SfM1z}$Hc-yTerlK`*SBR
za3#Z46hG$l;hlbqfA7K90{OC!!5Vy)H?m>s+cQ*Ju<pberw6e8z0-EO@X2d3ex>ki
z%#Jte@C%y#mgR6Xm&ujGaQ1TQSPi@=&;LacUb=9nwGO5*3|1iDt02Q=;3ItOlxnIR
zeC)&d`cJS<RbV~2p6~b3rHv@BhCM!8llxs7oMfhh-&|*BC(rw@(l~hwy!G#e=SDCS
z?a7i&aOcql4)Q&mKksN1fWLn*ctO4wZ>GQyAN-m*+0GLFk#OCCl#iiC%QOyfW}$D$
z4iav!S>_0v*$y)9fsg-3_3H|3ZCtIk6JFvp%k_n${%vcKgt@4AMkC<+Z>Il|<9DC%
zPKt!3?G3_Z;9U*fvbW*&NBgp+;DXUZV+pV)V~n^WtjTjfEEQHwbvkkgzOPxbo&zgW
zE6v)#|13q)3SgRiX2$dI?zc>oMX*z1(^gXcOU(pll)+iA5@bpFAIsuRRS8=dYH5YQ
z>gw}Zb?~3%E!IJB*W@MR2Dqcuej);9|2n<!4mPV7rwNCTnt42Eh1bl3Z^gp;(r(}T
zVZ9A&by2X+hd*});N3BXdUs&Ta$lKIcv@wn-EFu?l<CJ0I4;I~It9Km!zj88A1kQb
zaTi|ld(gcC3(hhXWWej@qTUn*s1I9|Hl@LGuNro4fU~S=4RT?Bk7j!oxO7SHdNv$4
z=gPwdpPfy{1<*d~onPJsb5vVfJcK!Ga`MDs*?}kD3t`=-!r|)h9vwsJJeYmb;j=2d
zny~Tz_oqrR<2VkhTW=mtMR>sb<nzbioc^ZM39vz}f7TgTqN@7;-{aO;`K&py-If1;
zuUhHzuD<YEy`oznj(3%j-F6i|Iux)>zURB&<rOusy+q7+Z@60Ev2z_9pVZ<^j-R0t
zYhH#2v-O2N;DKI#&R;O?2xqDj94|K0vEvE)e}q2Bor7Z;nXZe#XBa7J?cuWynRU{z
zK_lN1NguRMO`fvwRHoiFXPBFfm0cP3w=hZ~*E^<de?<*`Bwm>72lxFh<I;ge?22lA
z;C)j(SM_11e!9+^aHj%|oG)DS>!nKooHR0UEC4=nMw~Vo9#NK=4uv0CY~Gdx%chIc
zM8VrG`IM9T?$cv8a&E&W+fQ|p`0x|zKXnII6TM<q1_#C|{z`>KM2>sDfG^13eUt_p
zPF?(41@B`r|M3L=lfx!S>esBD)yYp`k8=mg>)>5mf_tjr#M%1EYM5@}=gk`UMB0$Y
z8<>ULZQ~$3^`oQrH5~b5ykZERoS3j~hEwcx%*J4o^3<zM@X_{WrU^LcS_w6&|G(1S
zT`&iSC0hxQ`ah$AG|LjKEgvm00B5(~EBXtMb;)S=lkg)d&6I`6Z@4{%NP8rmx6qy*
zR<&XOy#Q0|I|Xcp^NjW4H=%u#?lCOD3F{k<K4ye%tzO7(g@>m(50m!Rrhe(qLhx+L
z<1;(p-_qUT!f?@!ivPsndDqiB_rOYmy8lRf?NsW&-n}rpqe<8SIQdSnuME8P`ACK&
z{C7wHpd8F#@w-S3b`Z4*P=zmx1h$a&B)><?cMZ77Gokl5{KDVlx*i-|#lCn9UQ}j2
zcogn*<G*SGx6r45HijALlJA^^Gtw*~PQj=AGWbdRws_~yooC@yORj?!uzsjVv=v--
zc88V=9Lz&6;RrvhPq4fIC!G}C?F+Bv6c*LMaRY8Q-Qge;&7?Y*<FU1?KfKLc!(bgw
z-YK~`6t-D^=<pX_+sRfN28)a5%#!`(UfYgX#=u2<R19SQylo0CY;mv?<G(mY*eqIZ
zAs1d3+Au%^&%YOcm<P+t{IT5(>$?BZd<L_vYX>mF6E_xCieZILRXPsXaiZaF1*|(B
zv5oBKS9PRjy$TL{cv(^y_A5zDYlI^eD|Ce5rS>%Hw{Tl}wy6|6ujQN54%e0pyOaK;
z=fW`zT`+C+n_$x4G@av?-v<vGQlzTF>Q*`RL$Gu4M=7!&;&<s==f~jgC7PqB;Z^Nl
z`(|L-UA4}>utLSehhOlp{?v^t@Zck#)HRs-<oyR^Kgcg-K8iF?(Z6`Qw)!p{MB9<I
z5oUXEr;Y6A^;Y1sIx`$6R`Mekejsruj}6Y`xv^XhD;z(pvlVXTO=Bkgjq(eAfBE2j
z0yplG`95DhhNTL_W-iIk$bMUN$2U;zgd4(bYRUYef!-PGZLofi;iGoACTq_(5^l)R
zV(<rkE3r{yJN!4gOm+<p8Edl;g&&_h-^Pjl)B_CZuLR(FGlLi0aK@7rMKO5vY_)|3
zy!@dwRS*`5&eza{pR{ot+zb0e76(Vbtt{n<A~3&Ereh@hQh~;QKdh}*w(Sk<H6HzS
z7yPFqmyXPzS@y_`SA@-&I0r=0U!U|xLFzF4F^+Fp7;ctgzo!L<YQCqHh0nh;>^lX2
zcWjX(;|q^1l+?{&8(}YP4LHMjXv7Lus&}?hgUvh46VJnq`Kse&zgWKvih~zmxg@C#
zWV|DyFL1&ccEmqLkogFDdeg_UU|)GTIdZ-IG$tt-@SNg>qC;@$nb7{Ha5(jr5%N5H
z<b`9O!T+p!9aUhR6{C(CczNA9MFD=dxO%+~_BbZH<1p;e8ZXiUv#hQtsKXW+N?+c=
zybQJVWWL1w!5*KFu=<98e)4=;!(n?r!987?He|e}`JixHKOD*X?<yHjzg5-~Gyvxp
zHc+32m)>6%8ij||eE3hnax{|><FJuG<z6yh;DB)S?m75UOpzuTZ+h8(bYLE?I_S|#
z#-rjZ=KX)e=862H7vSqQ*GAW1=0E96WPEE%Pb`e42>0(kyx9+aUQs>05%w9b=Z}IP
zJ$8v<hMN`6%ie^y>5b-dz=C|Ktz`V|T<m>4emGWGW|WM-v1A%P-v+a!6f70PBQu+f
zcf#u1RX0C_-vvK&+Y6t~ae2@J&xu@SmVxi~{H|(-&j&IlD8Z+W$JmhlvcfkFN^8Q~
zZnIyTgSj4cj2(d|Yu{4;hWXonYpK8=k7-W*fy3xJ&mV>vp4o(OV7zj%Zl+F=oZm9w
z#0B%pmi#8?D^zkOlkrg=#r%|Ga9e%SGcrCJLY-%D9FBI;kvD|z6h<Dfho>8hgY{rL
znh<|m*e#Okk2*Zo>n`X5&(nFak^QuOxjS6A0H2g-iX`LlQ*VWj1;hJmX+9l*gIVP_
zT!(|ji!Bu3dW+9Dvf!!|p=vVT-!N9vkpahD^pO>ZS6S}3KZ5_{yg#-Jek&k(DjT+0
zZ7(DHeVyr}Ue1RVD}>s~e$%w2b<w$S->VNbfAKy1&Y88B!n0jYb7Z`B_-US81uSs8
zf`S3ZzklQNr54`(n1W{`oImhMtr6a^`RGm_c<^8T$a~l~`<5#Cepl0U|8>B}!+pCY
z;WunMGrqtk?@DGQVA_K7#(nUlqlq^eU;Z$tzBB@h{*H<v<I8&uLh`=Di>4A>%JA7-
zjmZVLXMdCyna}W8E-HNqUJn-kK)x^I85h+xIH$$vhbkP{Sh2Vc|L&i2CG#6j(JEcx
ze}?+vfWrs!{mn#^_Xxsv>Qp8qehr0uT1DY-KTbCizu{#(JR)$~kE=h({NsSYhkq2{
zUC%Q2k^7I<Dr+5rX$2S_k@*&}70-7W!W?Hd&yx7iex%`L05`T=ao7R(O>O2hfmKvI
z0=L6vJ$s%Q!BH;SmzZITxM$PWaOO|xOeQ$wu;L*rSkga(hwT5RFI(bw5zb=`(4l~x
zxFsdsVc8Lu4iX=0fuW1(u(h9_<r?De=u@t|Oql&|&kq`epG$Ak$%Fp{=KZ6BzvkGi
z=fjWdWWvb(exBe@FNUiUDAP%Nr|&B_DuHd1qD0x?{1o@aN;tLDNSOr|jD3FQHT=2F
z?x+x4N$s)T1dCkQX}b-M;NyAT43`BKP3?sDZ9aWx5cW;zlOo^4H=bU17#?Y{tR&y-
zw&UB0F}PBJ<s(VIdm01MCtxP2J7(nfAZn(jIuEbUs=AZ(RHgqiZwa=V*9;=@DLE0K
zy9OKYow`fnYr_NT5{hDsuXX;+Jq}Onwi|DRO>RcNJ_c_;a+jU~RvX=<Wde`n+2*sr
zhbHsRo`hwZ+nYIIhee?!SC~D|mq8R}_tF)<0DG66cr6C|=QKX{fZgab)sMiFbtCl7
za726Mt;6u<E~nu0u+*V&34QpH^mwuroUD=QqYDo`yu@k>H-2*9JpsR4oZ3a6=j!%A
z+v6}#vsV^*-oE^LEqnNQN9PzxpIyqOe;wekTUr-M{^R|8X&?apyeFVk52h|zxE%yL
z)6Xdx!^N%>oEh+$p;IaPFzew#t2Fq|;W4(ua0GSH_g8TCKDJAWFqKmBzDoFkZSFY9
zZ`jq3wAaDK^5YaFK8`eU+P#K9t+33K_;z|!N&5y)ylF@;2#YOb88*T%*+zrNeu7u8
z4aaxEm-m?$vBJ@BD6~JrJv5C6x5CcFDiQy|JAUo7Bl(B9fW7h$_`g@NKgspn0|#qp
zo}+)DQdE~4rk>1aq=pw{>gq`T7BAPW&jv@_Se|8s@21>OVu6qDPjDpZ-AGtMjt4gW
zlov<|?^-Kw<$zZLzFnHd?`6A<nkzp%GW;ui8fJF6eT*BXj(b1f1+zOa&j`XoK?C$3
zVFouRO;-4=ZE0IHtQYz2KXUzROD+GA^02-<VQv##RrhN@DZkHW>l)I+szLp{WIl#R
z%;<hfcy#am>+*0)lW6BgSYYU7%0XBvDq5QYre@0g#RMxiyc(l}KTlO{Vubao4B5%~
zE&nmjlKG?os+UU0`D?;E>3+cNLo7oiJmZ4<IGOKn^HeC19zH-HO;Ha|jaB_3*SFha
zYkn8jc=;-koPTR2(4EW|*wg1*N6uI0uQT?9&o4V!lk*$2zFu&LZRdo9{~>-(cgw1%
zz$#5^_2m8HD2z^#`Su}6lcrQ~7Nwik9+>qMSH&M3&n#ysDFNG!iLy?^_f7K_$^7_~
z{-I|}uy0N);}~4#Kl*n8R=aL;eGumF+IMCOR&hMwG7QJ+A9^$a=h9dH*8>mi%!+7$
zwfEIu8iBdfs=G*f?KaSw_yUI>qLCr#`S}t0k7WE`Lh1W*5nM^n{_qi;yD-ju5B|0;
zWmyP6wimFu3&(Ul>mmDBr@eS5906N7)8&);yrs^@i(zopfe<0GKd<S^3&|_6TIQRD
z9Qf1Y-+q^2!_#WcWIx@d%14Ui_j~icrxF?e7l~O4vxU!SPQ6HiIiin_oq?|%4oD;W
z^=j?YYB>!TNe<Hm!tqA`Ia<O=na2hFVeXCJ^vvN^_GjTXupfGcj9?CFl}mQ8eM#Q3
zA?!!_eEbYd%NA0u4v((XR#?FoMMtUBV39H@DN{IQ^mW62ION8DYI1x4k2td=oGP7p
z)fny;{}M;?N3mZ{0v50li_zCDu;#DNiAHcCMYR&iUnz%`15U!fGEW}+OY&p-?JYd;
zr>7r(QX!nKt$LUX_Io#co#fBL&M}>2yj}UXU>3<=rMJ6llks+Q2R8W~aM^YpdGx`k
z_R{+G?1o?VbRM68yC%mgMBx2l>=o_s$o3;<d*POMsU2-F*MACgyWnrn-Rr90J%3|j
z$@}dpUHMW8mz}vGCIQQ0Thn~_+sTe58F-)CiIGR}yOT|44!}|~VjszPx4=GzHF<c*
zId9?)oYP8ax(8lRUwUE)A6D*pDGdM9bV)RVfBf)y!UoHATj;K%zv4|wu>Mwfd49_3
zFZ|kb*q0r?w%J>w7goB`$HNEbh0&V#z&t6No^it|$t`-M|E227%(NKnATsP*534@D
zeu#XpgJOplNPkX@nAsKb{GBcOLZm-PVqv^q3g%iXx<~qpD9aNvNO@zgv19lV+$YU9
zr42J)jxZ(thq~;ac9Ha!cEdHC^xqxbWjtUCOFgG$egN+*|50%fHh-mjij22%NV~ha
z!!rzBUrGOBYSqpsq`Zlyi($%vBTXu;Lf}6~gc1ti-!^*6<o8t|wY8V@FaDel&%F;X
zT~`<<&uhKa{>THknfC@oDg5vn<DZ9cz<aiE(jOI7`BttJzEGT8O5XQBh08z7;6Y<i
zW%515x>;J<VEgnBA*8=c@<51GC+u8065j?}OWSsSf$M5m^54Tle0$7B;EioB43=T7
ze|)Rsu=!}e9qDf}5r1a=6Mp${)QcAJd5|ralH^Y`N*ixc!`%&+OMk(8A4am1{wH}y
z*OTk8-_1wjr2k2MR-J+5uc{@xpR>U`3>EW8{vA20-ogUkd%|&+<flK|>kWC~#TMo@
zW_Z70w*xmk@OSzdDPJW1o|@eT7k-{R&I>!Y*wP8YECX#cd@zOV_h>QL$g?$P2P}1B
z`T^<hO0P)UEC!1yjFrg3TBov}NWjvcrrweH4DxqkttH|36AngXzJvbHJCt&8>>&py
z1^7K>M5#RNdu3!!13t_ddr}QPU-)&SI!xmo^!hNor0{`@r1!qqTW9s*M>7o)<o6)@
zHInTZtgE6}Y6?&NePDP7zGBJyo%C;gwlAPP2m58jTp;~h*FScA^MWZfl!{Knn;(9=
z>kUh0KRsv#Q(pM<ITWTUI&XUhK48HS6%PATbWPd9aneHKv2f%0Tq-hu<nkZYp*Z-t
zCugKH{5{D+AQS$*__W*szIrX>V-_s(i%<0u+^71&pcXzOAdo`lqcC?*P}jqU-NJ;(
ze3hOm`jIcN9QS=Ya=jOox=DR7bp+M4C;au`N!f33Z+8K;2OP?nGWi|;w~;l<53bP2
zy*UMEJSfc~^I;DDoKu;Gd6Rf|lld}U!~X`B;IN<y)j(L5c47TDT&g|%IT^Oprcc{Y
zg7)H&?@y8+d7ilFK@V?>`^``R$B4(XvcO3+x3-tV7P|z;xZraC4Jy5`f3kj<ApG;g
zt&=@)$c8e-?eICR@%|w=TVk|tC#*W^wlDx!x}1#L4X^OG`2K*qPKHVzfP)zH<Nkwn
zHeF1Sfj363rIY`=u=@SrkP_U#=u^4~zj5C-s|-I>>QEy2dFR&CF-KtjC2eCef6CIS
z`>-~=V?C{p^e38rz#lKcvQ(_|lrZ~ZLb4(3@!rmd0WNw(-(v}P#Hc(Z<wgF~om<v$
zpLYD-E%3CI#swev$=9-r^sw|$?>0Y}tCVhq{2vJG$(Q$&;TsVr4axN$7N0Xpf!`Hn
z_K^8ujb(}RS+IP@#59>7HuPEl?f*Es??A4;J`UhkloctYGNUAwN@PSbB1I@tqU<u0
zQIaS`_V^(?vyhZoWMw9@LUvY?kzJJMeV#vG&N<ij-g~~|p7HrShXs?^7|HnJ=UYJ*
zxp0lu1%5KVIIvrh`wcu_9rye={P^DE(zh_jz}GSfxRmSf-uI;aGmECvu&}doT{WyN
znK+^hUo@t@Uke|5HhPn+pF2VuQ}PA&^-+mB0}rqo-|B+@4*Kzs?_Ubr%?D`nv0l{e
zT+08Cmwm*A2EIhcvWtvo9%Goiumir<D`zML53SNBZikOqP<N5nt7H%oeGz_@-0wri
zPq*g<Y3RYH!nSS}fq%)pd>#N>^zmoxg8lfb4TE5z=UNAa;NE8ruK6&dlV~hiZ+Fo>
zR;&>I{a#OitjAkW+WxWw?xz>LOWIqtX_|Dxo=NJIq`i#7SNFffp?21!y<NS)v2~a(
zEo^~|@3uHtv#}T8`}>cgI1jwXxU!xDezf1TgslI2eP)hs4?IF+KP~{@)Yo{w7xoei
zve^$mQ?M{N1n;(CezXs!*xSH%7`8qq!a(jH+sBdD$6=e1R9<pDcKDpJl!h-psz@jI
zk9O32<0<&HxkM?sfA5{!-Yde=wdWPd^;O-${8t;UQ$A!X1G{|kcyj^fi8#Ha2ybRf
z)G~n2isdq#g8#&DZZd?W<my7n{nU$<%rJvX_wLV7g{jx_uUfz-mrfqkf&~gY|JuSV
zqDhLHFvIJ<8xC+%XT28rz4p?MhTawa;U{2W2rn`Ol;4AA&5zBP!_Vw`|2=^veR{W(
z--C}ttn&j%xz<#o73|d#p%Vd5zCT_-)^{oxi!emO!fL9r4)Cw43oqhfbLtQ+dpL0a
ztWhGo_gq5v9hkdAIUxr=eTR?62{t#FxR48{ycT^zevi&vl@Bk6J@Vr7$$0q$?W9^I
z?AV(j^AJ|Orr_HGGv;qJcZZkuF3PpRPd>6t`@kwjPP=}<1?vw)Jz?wMqwSM$^%3tp
zKe#O^H<zjq-+weM^N(OVDOU>`nBrpFU9vvbTW~>X2fU|hrI;KqTBv?)C%pUcihMBq
z=ZEaqBk)J*6?byHhdSIL;;>NN0&N)F@GH<p9oDdERwBo%tGX+A4qoJ_Z;XJ85<eIl
zz{iDRmO@~+&>}8FnCE?{8yWwnyxm`H2H)dz3?<|LqcWX#7Vry~o7>6rLA{CUId?dF
zWJNay7Wwb&1`n9>($D^6Sd9NKZ#w)wqeqz>@A6r;t_*l7vf<M+c%acCzYN|wx5y9&
z-#3b|s(?@a8ww@QCn*KLRJ-7B3*(;?;NsWZlwaZbT`jug`KJ4%LY`s~jz41IOwNz$
z-1wRTym$YTS#mu&U4BVv!B?)CZ1;d!JVPF8!uCBrp)N4{U|@wIEVp0#-EDYkT$uhU
zOwsLpl=Lr+75?X@Fvo+g)1-fSDwq5+hSdZAR*?Q1p%mV97Z%N?U%w0|e5Ucf2cHlb
z_9Fe&CAsT*7^y$rP<a*h`%i}}0<QK*R3-h}oldzp7H$_AH86$ST59a#VM(vz5o=g=
zt$1@9tatDC%1wAQPOdf`jtg&eC$G2L<EU8<T-QYxehaSp^L|$@JfG9e<qC^M<(Cw}
zf+txHlKviB+aXc{oBw?!L;B08SxZ9|tU>=x^D%6<%iOaXzCQD+lk~5BP9}Vx;M1yo
zlYuZN&3ac8EIIY!7J0stXaDE?1?CEG^(Or(!Zq$-7d*5S&qVUC2&%+44ZtNoD)?gI
z?++EchhSaCfQ%HlZ=;gn1T1<svxM}AExV?Bf51;g9ZzM#7MJH-=U|g}fx6`Rbel@z
zkp(zWU$;LOt~rs`x(XYJTg~ObzbG&H{e_Lfj@&7N|GYL5-cXFspLeGM3Sb-OmZ**J
zmq*P{YvJ*;6JI#sh>5|<D)@Qii@@#hkB2F$jWEac!P6?Rbdpm=IXq#?5TXQ|&J;?K
z<F~8QH|xL`jz77c2k%lp#Gws8eEX?~y#62D`wH~oTUTGtkk`*@aqgcUeC*_+1$qBy
z8J~(Xg6G@6+#~(_%Dn05Rak91*AiJTADO8rU;|g5Xxl~J&vH`NZ(6~81ssv&{>d(%
zp}!4}s?59~_wP%ixz;VXgZJoe@_cPXH}@$RuIRIIApKqP3>AA2obF%n(-wYdXBLtT
z3po`?TfnRQH@h?89jg@i<nwqfJIrPl-nV1a^c=jwD@$k&z9$*>^CC<W?@;|4W(^Ud
zAkW9I_n0(oc#H2(lg^i<|0utZw`PJj@m;GV{YPazx{n3cOMBf+&R6?q!HG?<eZamF
zay`Cfw+FGo8jrV+w8I<qduJJ73+K?!UtqP_td=b>-TD2KD{#qV>S0nolakW;2X3S&
z&f<byqOHPIFdp+PxbF-<JU8|;jm+<9KNq0c4IjN2C`$J0&;L?Q7J>C=H=R_6bH9aO
z7KItPU)1Wr+eS+M9EH1S_<FS9M^mo^q~M!()@-a`Z^@y`lknqB)}A-uPb-qHr(m)6
zO`9BGJsW{YOL$!CpQR=2vNu5ECcHo5zgc^@sqA>8FMPS9PnNVlEAsl$6ZnJCtq){8
zYAItw)l*oT?e7l~KY&r(+cg%x@Fd8d>{sEX`C6O_=do>yBLC0nz93TpY&>96M&bon
zW_`DQ38yU`$RhCs?pDza<ieG2&J-8J37;$FUcdwXY-#UcW;0`&A~-a}_3JwPJGL^p
z4BoXbdy4Eg|Lyqf(+61BUCo07<8|Rno2(n*ta8V2vOl{*R<FMqc5wAdBJ-baWgpx+
z;Y$*kd1U@G|DpY{Zus|8F=<hFwRE6k5I&i#bxs8C)DH>#26I(+wjY60&Qc!u0l(kA
zFfIn~t129ugzJ7g+mQLox~&_lsor5eO5#mA*{`){q27%K{wa3!fGq5oGWm2L%qgZ6
zK#o^;zf5~Syysa38`<xr;MHKK1sA(o-y-v`4*IWzbzl+W(G_z1#;Q~4w_xfYdWxid
zT%+c+9c-jFQo0YWb$l7%0vD(jeclUO)D*Wn!L*Eu|BqkL`rnq@_u=T(tp?mEKYeiL
zyL)giPtq51y_SUR^dG@R>oyZ?q@2zr$rGOTTD?xjLr)0R%KO0#7i%0h!M5i<`8<Y?
zozR}4fZv33><NZr|8Y@~`&CD?(<TruI-TLV1gC1GX2rqwb)rcm|By;q%6ts$rd;y>
z{rkgJ!=cG=>xR3cWW4pR>ri(R{CRX^`T%U3zT?hwQa_@qxDQ@W<0wyutvj`jbikT_
z)D3fBJ7;?3HhAcyN?JC2e#g_Y1~|OLSt%cWm3gkU4&JM7=l=%w%<Vrz_K$6#sA;H#
z4O(RFOJKvGV%7?nkD>X;8#th@|5Y8F{PfOW62HaKW7@I-?hhP)Na9(jwMk`k!%U_J
zpBKQQ99CR?@Tq*-0y00(=<;9j2s|O2TvrW$GdTWo8D?eK5hQ@?SFY-Pb{+PLeUZcm
zmuxDgr7XdImpz;JlKXonn=Wl5Y)|o2irilvWjRB7*i-dy`62jWx`-?vY{~X$h16er
zZnMM>b32XPC;esl`x2u!%;z_3%>^^;HLLM~$3IIhkoXj~^eLu6@C6BXTJrySLw`BP
zz+$^AUtfV+`V={m;n<0PAN1kM?PvVbV6&3=7BZi0F8k|8JZu|dTt?=*Z49VeQsKzc
zNnJs3W7AVHQvM~-v?c^Tq@vhD+H-#YX<7n5Ev*+zfSb*8waI>N{@|NeQ(#Z4=&?>%
zC3f_EEG+49rM(;edGoJWBFvP$H24D+yJ#C41wXi3*z^+~=@vhn1h>kI+mQK=M|BaQ
z(eV58OP9%fYNTAB3u)iFTfmXb{|?<f&`sL^jvc;E;vcc~dz6vavslP@&k$}l{lG)Y
zFGMz4lKCZnhq5x#{;!nOCV#m4-wY2q{-E}sr2trAgJ1VkxM)eijl^TBue@^S8T^F7
zGl=Y0=6)#JmIddR?#Zu(HBGiS<iUMZS8GZ9r^*l86N_QZdwcZ<;43q<@)dBjg`QO(
z?0om_?@D;}$kVw|xaG?8=mwb9s+xwxqxxOAgQ*E#WKw2bgvXw4&hCKC%5DnG!^au}
zdAnhYweJUM5br8K$ESP{7T>c;feO|rWIH+nE3JE;V}q~7u(nT<`pI!dtZ?JWzJMus
zb!+$7b~v!FS9B5nNHep-0dKmRJ-!4_9uaoug<W!A`uu|}ZKXoE;f;)sPEwR2Uda^)
zjy*6BhtCilEH&&dEC|=1xfZhtwht)G5rwJbEqgdg{qt3A!f;mPnFub}Vr=EoVYupn
zrZ_)5%)fH;5FGYeVnzTia@;>B37^zH5hMb4{1u{+fMpE#sfxlv%=&(Euv_8biKC?b
zkVdR5EVPZ?KoY*m^alG%F+OE2@K+92*H3<{4ktZhvp)sL@lw|sz}2gQtY_f(v8k@h
za0{J)*Eu*-MQzjyHoYb#coDAiKDc}Xp0?IuGJt=V4r~s9TQ50ho51^8O8H2<!R<+f
z5jWvYrN&a(@P!bcMPvBO{NueO-nf$%wU!O6^6bu8lFx#9wKUfZ78pyA9)Z=wrvz`n
zZxyFiNPM|Y?&CG~aQo$&OY^Xfn4^><%z1&;jKpJoxTEIlJ(y*5*qI78rroUZ0A6qr
zc|_s?i~lm2@qsHnRw7v8r+IIUpTP33WS)_Dz?&1d(S*T6Vl;WYu(F`?`*7HyX}6Rx
zEK~RFYAkFSGk#_dEVj3cGalAmq-`bfg3~;Y6{o@}Ox43AzI2IimgsYsy^&&;<Zt>k
zvbpIM%xh3gN#bArd7}CFHK||G;X~q8K8VlX`xgEa=NnDpWr`hDh%1Gk*q5b}c$Mc=
zvSh2_|7xrYwP2wFrPp<E#L>hmWB6-*p4Mkrfl9T5#P_5Zq+@D@-QOEsz5(x@b<XaF
z?K^3#E#N)Vd-(fcV|}qZci_(AxXKZDX0qAO8P*Qbm-r4#Z~Fb;WB5OVj?Niamn}5I
z8-Bx_pgs@JH5BGW!ahCRQ-9#-vuA1|V0t~@^fls_SJdNSsb2ciH1F~M?@b!S!Y6i3
zme9d9rx|W!!|mZqf7xNJ`RxHDzHH<(+agZ**ONVLB!5%Zzym1>IC^c%r5Et->_6_}
z@Ryex+mhf{XXncm;gPcMi*axbmj&%9*d=|ymb@OZA#D{cIJ6@-l*C(I$*%I(gdfa3
zXY_@+rjCf}!Fx6_bNj&WsGi-r2)}tu8+D(w7in<}gFQDr<0tV|1+Tgtihx_^pJkBi
zwSiXNJ_Vk>#P`tw-es^Lk_O*9z<Zv=lV6U%*q9Axztg*Z7naqaxm5uF5Iaqg3M*JS
zZg~&SzIS0whJ%{*i)!F8{!2L|e(m?#uX;^zQjSMCiC_EstZP#XJg;rn*b5sfQ`mOH
z1A1Y7U*VYa?2%r$@xS{MlQ2V~gx3f>$QJu&0zR<FCO-xjN(4WcgF`BWJr?1H(b8wr
zu%a}x%rcxkpR;!vuGie{Mq7sYUx!Auc{r12eQp!HZ$9%P4e}q!UJDFkh56pTHm8EM
ztv$}M!6p9^r|99=rdwvX;4GHpe;Z-7v-B@^!lGM(AN@a{(ps$AZkW|JAYwDhS+_-%
z?}1ZYO_F$F;SUF|9fbWfue|1lpE92aJqqvR+pZ`HH`DeXmVudL=r0_Di?nD=PQtq=
zE5<b7t>IZTs_-07)-uVT^}(<Gt~y*M;Y>~PSFtsE?9hQ-nyzdm`Kzv3#eBH{a}LNq
zHHFPh)SM0Ata83gW7uKP;;<pi6-Xmy1#|4@&v%2T=L~L}!2X6BcJ44cjqD#%&O@IP
zmI{w3u%09Bc~1<VONS#rOt#&Gg$9lU7r+G@br;QHK}pv$MKHtdgRXXPH*ceVE$r*-
z8%vJY9lzsrJ?z|X$nOZxo?ByBhTr{W@V11bW~uYnVeRuf1;Sw?jl2tV<>-&9=|@6g
z@1YS#Hu!m%T<<6Ng6FOd1~}o`+mFrgbCHN(CioSL_xUcEv)xc^8ysj$fBg&Wcd7R$
zJ1p7LKHd+XDwSy#g*C)ZZ|{b8Tq$7NPs-&UgnfqRi~lVuz`i@$J~Y7ZmjZJYVe0TG
zwKn)p&)JR}a7}<~Y&|TzeKyz%?sSylZ-o`aZ??L^qAi08P4JnhZGmpE)3by+@_N|i
z-sdL6?)G!r$@%<zcGo%;=6ao#&;h^i`uQ>sZn(}--U82E%e_$md-^vkeTDt{1hT5(
zL(IZv<aj*(v*xw%GVj17IX|s}7aN=53(_0bdf|g7?|t|T-=%-+F$!PglQivuZEbr(
zhGF-|%zR(r$v=S{KjBF3#)=`>=0)b7A28eXbhlwxY0e;f4rYI8#ytsN_~}?W3pXXs
zGR?v4mnGV_Jjdtv{dX^a!%>2#M_6E8w_u^a@cHnR89uo3l2I*91^RbK&N>hL_L2DN
zCfKboFZeiY@|-D_6>f<wPLzN<`u;St!>X)BV&~y{wH`Ze_{7tKlNvC)?_i1m9Fg?0
z)dIeJqFzY^=4(p(W(KDo>M1<{2mP6wa)x={?5w^C)9LT9CiSJX6+EnAhW&5n?BHb6
z1{#0(!q+J=OPJ>Uzw!W>YWi`ZJ*+)aMiocOTQ+rC!?D-b-p9kSpPpTDg2RUT4AbC%
zs4G^t;dmLIof+_y=EARg@LqeW(i~XQ>^Y??yqa<PPA;7NRnF%jyfsXes~A?5n*GlM
zev|I<<t^NK!)vD>obho_aSJR{dGE|4*k0qlV;fvRx4Fe1Hs(+%{094bsm?xzMJrMr
zM&LVdx*bE{3YI5Zf5LHR?7V_t%gE`^Q*f~OI(-ye!1Qj*U-&F1&%SW@##^E0e{kxL
z%$!(w!|iz%=1R=p#Jz1I_3M<)KW&Ch^ptdxV3weBHXJYyLyd6)Ty>&$-*)(;hsH!Y
zY%25WBQIQj|Kmz3%v3M>n4h%I)xQ4{rn$!{ybq3EX$Z)I(?*|;iohb{=h^b%>9aoG
zM@YHL2mUv3U^w$Bad@YITE;tg_v^J`8MyLaVPP?>8NhBJ4~yeZ4e%YY)p!lqZdbri
z4SWpAz|X_ktIX!jaJ2fPH9h!yzKzo-_~6BNj#uFKcWgcS;pLDw>?W|oi~8VRILB={
z$Q(Ynp*Cg;9w=NmWD8%&+L1X4x2w&X-G=$5L!>vnK!0dlq`L<%NDQh`!-1bl|9HZ#
z)%8Y#@bST>7(e(xKZ~6JEUdBK5(FpBx=_f%kDhZnM8Z9p#haz!jl$QS$HEdCI}&x^
zogY2bQsAFi7jm@V$jieIp2NF_UddU(wn|L=x$udhk#jfTJGXLU^59hWx=XHbt^S})
z3B0_xWN`;BI&bAr0nfxL{|<%QJd(H8!(sV08$;j;rH3sIu;g%WKs3Btq~umB{7H!-
zE)s5TOgz{QiypM*PlN@`dp`HT**#Ch;^7-(9|HQ|`UlGeX>f-)<-t+-s55I#3Ox02
zAmcl1Q8)TIAFgfTRhxx}j{X^V11BeLqnm>l2Ctizz<$Yk8NcCkk+*KYh1oT=OjlvH
z_3q!5aFWQ^bowehU+ntHQ3jt}?=fM7d#ujK)xuvpd1<%8MeW*I)v&nlo~mu|^gy9l
z6a10g#$*?q7LqUD2#=@U;p2fl^f+tUVW;mEl|nF^4r@m%taqW+eJ>pN<(7UAJey-u
zDFF+(>$-HpYp2}YkHhK{1%C&KFW2&(B>wLiV?W&WX{1j9W-Xxz9fQlC9&%TM2VajT
zj=&B-v}Dxb6XA+NQ?RU6VxKnL-7X|P3HMx{)zyWS<NM^+;E^7M-&f%Roww)yz}>EP
z1x9eW%+_|QOw9Mb`k-q8FUkD;Mgb=rSl)UA4jfdp*aY+HD?NP-Q@*>KObN4udh7bZ
zyz$L@>0z3(eNUs|;fV9fw6N%wvaNA&!rLWH4%qI>wt^IRyYwr=ZSYul!J!PeW%2wC
zAy~eTwKWG`n%r<_H@thbO#Ka<B9rn^9RBYl@AO;PCPORq2+XL|WAPql44R5ngu{I0
z>1$vIyZ<s3;CHt+dey_feu@@o!+QC*gj(R4Q!O9P!#a;tlG<VQi>A%jVcO~fg<iOm
zpSs@&-q9gM(GMTYIb&=I+c!iejl!3zN9@hviXukCad<n^{$*RZ=(;<_4E)Wie1i>~
z5q#Tq4o;y`XK{zKB!BMw1CMup<#vPn)u$u>!q(Kr!htX^&DdAQ54he1_R4;6QpoBB
z7TCRcK{E#KOmto5fG=j>HjIYNSs3%T!-FMxBT4YS_JE6gu)@f}`2?7oUtp^MESO{C
zk^xt_?bSUDzj&z|kpf4|S8qKE=NN@^Wy97_R12ix&yrNanQ+d)q=PIhkS6=`4NSe?
zewz|pTbovr3m0AGY*U7fW(QBcg*^=uZl8l6UslpAf^+T89M*)*<nDKr!&8FoZMrc1
zLf`OvIA)ty$R&7x*fz^rSjm0!k!$do5Ig5;*!gVr>~%PMGHvY>{N(2O&>OJwk-zkf
zunH%mrWHJL`fzYNT=66NmjgWC{V={2rgyrO;|MpsC=}>{N7ue<y1{3?XbyM7m1fz@
z?(kJsiNYcHZ_<fZ-msRqd-VX!P}eHr2Ww~#HP6D^DJ?&Rz_vdH`lsOwrIJs=;EVUQ
zjhEr#7oYdXz`aHx_KWZ<N7sya_>td~D{U73zY(We8ocM5pdStV!gii61Ma({wV4SP
z-5mNn2mZ$8y^8^UzGiQp3s+d@K4XI&HMeXkh6VHnU$Me_@Ao|_ffJ~YzT<~Wn>~d-
zzzoI)^}O)k%{C*|aN0YsbHZ@jwr$>@U<;EMSN6aX6HAmWu<DK#Gf9~H@>!)p*yZ-&
zhezRd2^H#Zu;IUp8)e}O`tvCh@Q#Pp?9%Y}ZFAQrVa~eXm{V}By~-2TYJ7hzRSq48
zB@XMUvcYbtLuLx_p!a;U7@QbX9xnygP_YFbfq%L72$1#<N+}%FU?#K3v*iDs&J+<-
zhwqu>v?{^BDYmg2!-2g@YjSXs(V2D=m|;ra<1~EeW0U?vc-SkvNFILmpMIw|d^oqD
z@;rQs`JYQ5Tv&AHvj*H5rz#N)&ujW#(1SM`hTctp1z4!;b>QtBW0Fa5N#N$CEAYVK
zmR&_~2eTlLF7cH^y~VIp!od_nc<?~GTLtXV)0JxgKj^S_u7g8NR;%4%KZ#x2Kf_n7
z;@aHct-OCC+Tcaw7kz=Sn)^$M9{9qb@}xhU8?)JA5SH=Pxtj(Do^0Iu9S%(W;gbTF
z-Z<Sh0qeR=F=mtYA7~wa!DZj>b7jKYZqm;!z+#aeyG!84iceu{@HTs<!*AhVTKy~(
zHTe85W|a8|x2C1Nrh~U_3{$O#bEA*iZ-Uzogfz9l5=sBIu)^XsTY8(}^d7<Bt*{p-
z<JcgqHMk(Q6IR>(c)lN=+7mdt3vSbR=rRrmP#rib3UB4G2^)rYJ2cN7fYbMybN+-k
zt0smYgLjQ|2>yWiqLsBJ;j6Dcy_kbz`L{31!L4}`MYHfhtq*Tb!WGg7WPig_$8Iib
z!paK^x{GjEAa{WlEOKq4_b)t<UH$tS{Cg~Z`TzAR8KjNiy8>CaexdwOdUvlm96nC@
zU<Tf{k(=8L-uZa*>KN?BG+t&6$DFvnaTH#CD@<txi=481*b6t>y;5|AvtBdAcflrn
z(_VMr)fukspW*tJ%sn3PdWNx36HM7WZs88=sW~K7!&3=~^gi&X#iEy0r2fR$GhVRB
zY8^5z;`i{elR@Edv5uNzA^h>7)8|n5OX%gYmvGs-z^$k7vV3G?7QC|h>rgDb>wwq!
zd{{yxsWlmv7c9B@1|Flm9g+&qH)afz<KLLreIy%ZXX=?PhQm_Ue!YY*+SWK$!g^9U
zVFj?`%DiVeT+*oe`5m0L_KNi@{3wIwRuwEE*u_oGpGITiP&Lf9qdb}P59i}t?7eV%
z-Hwl>zLpk!M;{#DOrc5o1K;kc%WH7urIU|(;JlSdu77ZFEdQnvxYb7gDpM`)*AHO<
za=hadH+orM|Az7X<o<<P3Et;~Z!ZiVC-;wi@UScw>|<8(ei^>EKGV+!Yj+oYB>h8H
zhTT9Aeo|rAL7R=wd%doI`{7F&*T2!gOAi>_4#8al96z_gBGIkfl5p~U>fdZ|MAxsr
z<M6c;y>2_<hUB;IC*h6Xs{FX%iw86RoPq5G8q&|gDLcJmwPBO-jJz}O(~t=+T~gmg
z^ZgZA*R{UnD%_bP{81kk?mI4h9nNU`)P57bP{rM62`jrN4OzkhTVgL;!(zu2Chx-U
z7rg%7hT|@<thm57Dh(x0FvXF9dmiwg-u$cgVZN9QUw1fv^ZKp_aMNKY=Ev}Uy`N=1
zaK^CI4sUqnhLpQ694$_l7zkf96Xpwng$~wc`NNWz?hS^*m!(6+BH%l8)}Bw{7`L-0
z!eFPbA5O-?jEWppF>pek-OWnaRltKP6jqGcm{ksM^?v8(3mcs8m}!Q+{MY~Uf<JGu
zIMf6i?v>u+23uC1ZtZ{%igt0k!U?Y_!atMtJ$}L0;7c<d;$86TdqQ!BaIuSp(-+u!
z{Tin(d?SYL?I^sY6eOk%m#4Vi8HW#S*DAP7%6F;nn1SiGeyh9$SH``&v;b#X3Z8d>
zSsvbuqprhv#@nMeY+>W7nJXJ$o-^~)&ag^c-9JY7uiEWZN4T`~{Cj42B0}uJeRy1M
z0~I%%uP78v?pLwDqry&jF8RjRTky$esv`n0^WOnpJJ?62Xg5C`SiU>f9G<rKsS$=f
z86z`H;g^>dX!pXWkM;@}z)LURXB>ogIGi~|&ga;O@PsJ5dp$T)3$BuQvtJh0cwqYB
z9IRl!-C7zhRLYW5hW%{2m`}l+k6G0f;ix4UjgxSBu3oJ)+_ZIh_B6~e{<iHnY&UU9
zOa)%PO{F0QPc>EEz6gsCmzayf^Xa_#I`E?x8-{novbN0^ufX?)4QBY^?-3%A`Y_|>
z^c&>;67|XLt0i3Z=<GvwxN@bP%K|Q#i2TO{mnv{wb%xnJ4sp=KPPeS$9bp@ud!dx@
zMypNoZZMN|Rs1^M-|iEa9=O8Ewwt-g`=5h)j_)C?@=9BXy#F<u<ga_cyEzh*$oJ1L
zx^`+`_@mlTHu?T(`E2{h3+A)Co6-&25B(7gfY)vozv_fHB#e#uz(qRo{O{o$S+mDM
z@aR;}0rGu2TSK$SAMX9<AV|KC%VqAp2!rK}a>Sm)X-^w|guou*t67O~>LFSGXn6Je
zk>YsxMz3#UBz(u?!O{QV*wAI`1emctUp^dG_E&fr2iI0pl{|r8UeDA>g`FwH>wIB_
z7Yjkj@QrJpr##@8`W?65!mWxl7OrsBmEI#Iu(?Uz&xdfuy9B3?aK`u|%>%gYzpjFM
z*yNVV183N2W6<v|c%8#F$^m}!z4CY`yu0@k+fDeK6K799ESUR^#}bZ7QQOf6`*n-Q
z7?Ji`F(o5#MUqPTRrqVu$F*;;(SaELi}0UVj`$yN%f#~o<oDNIbLIZ;@XN1%pPzxh
zT?lZWg)jMTDo}+V+Pp2Bh8_A1#7@G;-PVkjV1ox{vgG$6<;b3-1vu~cyP{+8MmAH0
zHF&V8`~&%YyILFQ`3JWBxlMjQtjAF+Kvj?5-?ur{_rb1QGsYBf){=ECAAH1*f5S%D
z?3Q&K5A5G_T8S3Ep;vW|1AcbXd5j6Rt1Z*t21_!;3Nga3SlPcY5_e2l?0}sYXr?#9
zrgxd1Z-)h3u2@pQI(diG_~5C@bB_P;{LrMkm0kee6t?u6JU@KAaDVDJ>?x49ixM{L
z3Ko@wS=N}NS5QCnZ=J0Q+&B06)dHMydFh}6{JmqCpFIDpiP5&G!m{@(4v^=cl4ILg
zPs4Y&?0WGT_7&xQtpUrtT+VNTiyw&2orPbeX^Yjsr#U5$8o<)S|4vuJkFKfZU4ogu
z6v>h2!H>nt7p}qF>V9W(VDpu85r(jg{di3peAHg~m^obeHNTZSe`^0zcQS?9P1w%G
z!kLkB9M<sGivCMaVI2oW-J5X2OPP)kSWuHY`YzmMUH>xxo)+Woc7Z#?_gZ+t-}olE
z9>ZbI>FyqI|E4j0Z<w`<Zq)@|VoZyTfQ|cIwm8CW55jha!iq`Kn@r%Ez#FB}q<n2=
zD;W=X*{tan4hLwm`J9GVtaoz9!VRi5p~~<p{$1QY@ZoOp%YztC(H(bjbBF&8x@dfZ
z5AYYek=Iu>JtR{O$Jz1r*}-h(yTr(Nl=^7OE(>^VsWqC6mp$IF!_5dTE};!1<7wyj
zA2^{yd|PYE09Jch9H$N!Ji0ez2uJPR#ZB%fXCrslIXIC0$$L%srrFZ4I$X7?TSm%1
ztVy=)gEt&0G&~RQqi5;c3-j)pOd$9B;0+@^UU<*48lMepB^d3)2}|lZT(g2_EPhh4
zz<-!NP~L{ci*uQo;r5023P;#G(IAW+9;O>mAlK`}`_q-Ad}nGM)qimAz^pO{>=M*!
z@)17EVIQ>#mR)U0sfTqNn%F4elQLSPU9e8c(muT7<@Xk!Htm2X1@icQ!sX-c8~R|C
z#Z#g`;HX1RUfpn^0_E;*xK1)va0uSp7kID}?k<fK{0cL<)9oVT#|kV()ufy$Abc+w
zKjsX5yMeSn6J#1f#>>^m>rw|{&at^zZ+Oz=Ybq&^Q@QSE0(a4TRU++|SZ5-x!*!pR
zmB{fe^7S9e!zu5+kCJlj`LVzgFy93}A<}-dAbpt)&NxL;LyjLPdz6~Ym)xE;QT_sZ
z2rK=6ekwTTz!*6{mZsJ@GJkXN{6#Zzd`DT2iI4F77Y^EQ@S#k`MKb?Xq$lUy4{xJ*
zH(3Oa6|D%4!E479mkVI0a0asx_@jT!t(R~Nd-;Z+aB(5u{Ve#=$rhy_@O}F`zmwsV
z(Fdcy;9J3KG|%8E!(hQ#c>hbC2hp(0g%Oi=n0j6_G6L@HoKE=*kEp)b5&+YTh>tKf
z;P+o%l&~)xZX>;$0Zvk!N8C<){(O~J5QAqU==z;tfhY;jgK%TN=_MO@qw3{~6Y%6Y
zKD!%mF!NbTS$N^|gUM@fmTY&TBAn>oy+r0iKWo(wD!^&Cj^EOS>kT@4-C+iuyNxPv
zx(8*P2fS3pc3u;fdAZsX3>*2lnybTmmPKPjVauK^KXu?^bD7dlVO4hdWi5E;_TkkS
zI8We<>t)zert8jI_}z?AhBlna&Mj2}M;x2qe+6#L+IHt7+?vUAN)JYSh~uB&%r7~$
zM(~x}mtA_{{kuN)k@|0<awYrWzap2ellfbVYX`bU;VXNMtjYXqo3U@yIDBvR=Pxq<
z8q`ZCIRoE4HnT?NPq&nsugt=ug?Bw}!Of%Nkt?u=ii<y)kF`rt*ZTt>@uXtC1B<vd
zEmM9(f4#iA!x^64E?Gnk8)-aBbcd6lz0+lYMQ*udy1^m4_Hi=7W;_&!yx|Yahjn+t
z0vtU`p73<!a}I9!NQO~^A8b5vpimIzbyMkh3|E@JaNYx3)PB4a0`ppmaU6ulN3%_W
z;KJ(M&O@Yp;?P7SyzC_9ED773XI>!v>r-x-gcK~m9PAPgPi;}_JP8+;Sv-t|>Gror
zo`Ms^C+JdPDp@0mGjP$N(k-Mvn;e~4R);?t%0y<u;*0kpbzsXBhG);=(FPX1i*UBT
zuh47Q&#5Qx34G>Hg?$PfnsaEu7ryshbt(q778E-Y4HrI0ql$t*ntR-egab1U-Y4f%
zwzA5a02i!uJtpr5pZur6F|cC7r29QsijV0~GW@7G)bB2QGduGossBhR)q~v6+4*hf
z(&1iVHGeX{9<GtsNb0M`TzPmAUa@1h%7jZ**8@m@<%rGuLFxx4vU;6@ZKIg|a$vsg
zuY*p)oDEm%v*BO1(hSF8mG8M0`J}wBYnudYdE;OD8<-*LddLCzfOgziCERv5ENvgW
z-ajH(0qfgx^Yg>e&kt1B!E+<I`^kETUtYIqYT;;E*$fUis&-A`3#=ffU&;o*&6f3S
zhrO!CBpKil^##L8STV*~Zv!l}v_D}2E|;NgU&DHhD@UUGR^a{b*T1j8A!8qRF2m~4
zK_;`XRnO|XfAEE?bhc#u$N2%#)ipRGF7n4H%(JBTl%^5S<GPHC!*K4gcbt@P#D3AA
zt#Iq!{=$uL!K;KNlF!-OlzEvJ&QU&es}4@Pv;RM4II1k+UJX1c@?<LmEUQrAkPqM4
zk@RK@{K)IT{Wq|df|xxMymfhCHX3fMk!INjtA9PSO4b|gw)*^OGkmmp)tao&dFj<`
z#Q|T@GIJs8ZKP?BPO`yC@4akq!e4o|*6o8OHoOTmh4W`l&<VqJA&T?{@TXzg5jnW;
z)_GxF__edJzzO&T^JvOBxQ$iM)d8js`SMd9w$L<vYY)4I+FD4$rj@dn?!f#j>9<IJ
z;w@ULQO<Cd!O3Z|9_;kkP6>Bdr^snVgp}6`Ik~}09xS&7U>~=|tzK|qi^6?A*dgby
z_Cxsmdhc&ec;DmNIX`&)6eA4>%+5DCP0HU5In0s#s+y{40Z(9^*k@}bzxg4_u{uxq
zo>sgW$v3-X8Dvh{N9ldCBl+W%7|V8(|M#Xmd^ig}(0--LA7(eNoO%I=#92|1<IM=^
zTRww-`)o)Gg)J)|IgotBNjd^NL9ky`-VKtE*I`Fq>3?wPzuwzqJzyz!<yttrX`AEh
zBbY<K>v#$*I{A*q1CF;Ca(M=GOJ8{40`KcH<9GpcWIFgc!5d|5E@r^=hD@|J@ZR?6
zg&cU_hrKLhJ>oU5g(ELv!QRRzB%kVbIlI<;*ydPI#5MTM$=j@X#IGG$FTr%&lR59;
zVag{vbm5J+rlyPG@gc!TvOaRv&M=??4iu71QimnAuQR-dS7mIXq~X2;jnAuLXZ8Ef
zj>9~qjo+)_VbAT{Vz3c^gkT#ymU-|nS?_tUB-o?{p4-uwy&LBDymW6F?(3`?;DRfa
zY-E4K;nD&o0`U5E-n$z=;q#t{+Jy&hR+W{ehi6TV*2wzO$=e}8a<Io{yOX57TB<>l
zES#FiSxVNkYV4S&KMVgWef^mUey;mg^$h&&@fGzAaDe6dxE9<HyZa(FoWJ}*=saBV
zv8m+`*3&BQ-%zawvvh>@tibY&_0+mBy~PRLS@@wb&9kedy&1)|X*jJ+<LV{2erdg}
z9hTkj@~H*<>4Mw%XV~zTO}80*IC-ye9W3-S(%A;4)B9#c^2Hv?yjWlbJ8la6UJAcg
zan-pESG`f3dk5#~Nrv5mCF*Cb-@vq=L#=(`2|9`=*>G{XN|p~ixc?<>DzUzyS`b`H
zsmqcKTRqz18vvL1ZSa2zyF?wUj)m3a&L)uc%*jn7)G;s{)nBea_|3szNzdS>p_twN
z@Q2PbJPGid($yWV@IH3U(lofnB1-TMyzTMYY6{%%aXQHkHkw$C&VnEEe|upAn`ftW
zy?_%FLWM}ar5Ld!r`PbHxbPtpxJpGW{}oKb@ip@@JUlI@T?F?%v(6{+e#CUgLkeK(
z@7!V}evblQ*TMI&n`Mra23*qPW>W$`-*T-$8Lq0cWc&cv_)eFRcs*7fOlK<Lx&IQS
zNxUBG(S`5z@Ed9oB@&-XT`_V`9XxuwuUrgPb-q*G44>;XX*dY)v@cO;gl9K5RB*#(
z9{&xt!A-InA4xu^qMZ^vt+31nDwVCUnI>atH{7uIktT`XlPa6J+6f=mk!aimUk`VU
z9)O*#3p(iFpKY97eemd-<@t52cP~9V;y4QTFpTMw_*78??s>zo>U#8-1=#bRveqR0
zo0@HK4$d_i44!~ZFV|is>*ou3pB?xGH(!u7{SI3Rwr5Vk-TG-)$ohMossPnRxRIC3
ztOMQ<TUJBrOVK|x_y7-a*qi)@i((ecD&dF^&xS~SH%o)7xv(R*y8B-^u%^*G2R@eI
zwnpk_xriIa!y=vBPbr)5{FU^~A{MUCFX&oFxwW9~NEl4bs_jIF@_|zoQ)K_Zc7=(&
z4e+vvlcg{GwETe<6D%d)cgqL9WSH5!3HCHox#0wFDUq^fg|8`RIoyWJgqt%r!y%8Z
z&5->IP0uf>a=;q;RV$V-&5fTv+hF@Om)qB1E2dk5yI}gdPB%l?uOZ^ucG&#-DMyl@
zPhFi&o)1p{op4_rKCYT_p9k*yb>R<*cW6AlbLSqI!aawY#3%eNo24%Z@9!~nC-I5y
z)AFwDhmTz?c}(IHC1zwF6M@fhJJ1}2)53SQABImx)-aL%N;iEowur%67@j8knMR|w
zypn_u?rRDq`#H1*W2cY7`(Ar7ll>ksFHMD&;U6(O`Pku4)RX3laHc^=EEC*0k@id*
zj(514L-zOBaql&`0H35yIkE-*KIcto0H;n4$*{m1X_%_6!r{k+DmdZpdtQ=muyw)w
zC@DV>@ao+I_`AyOX|kW>`*GGwkKrKo*kvC0(TyxFKR9M<k1N^F^2FQrLNuJ!x+{>J
zPiof|ju?20oBkGZzPk*?XL8{Wn-WAxek+?3k40a>^g|}k$$lo!q;Cy{aQEliuXn;V
zZAUg0z&jbG4{U{H^nKGxVVXG=335Iz16?EUV5Jb|H{^UT_zHVg!KbV_OX%Q$YtH2r
z@I$)+39_H5<3N=`J)Ed8CQtUCvFLA(t%ZA@XO}F%uaaZFe1U`YbDL)2!+qbjcECBS
zchty!rr=8guY2LMU!AnaV1Y4<*{|@80l8+fpK1R;_PSrN+k3trB;S>tjt=cCY}@wJ
zv>E35?vuO>kM;N1e1ac_R1Gb{9lGg1Nc^en({uO#!XB5x<}2YB-R7&mVbi32lVrb=
zeEXMHmS*hVyxF@U3od0!4c`K<-DmbA`LO)&pG%X3$K9j~Uch%2L;1yFp_BdD(J;m1
z=Vdam_4xCGNVwu#!(S<wVZrrq5Zn>f`&0o=3s#g4fS3Juamc|#>)#LGgW37_<SD~-
z7CF*);kuvZhfcxNCE7>GengsUmY>vMnO__-=5SR(qmL3y6&;Xs7Jge@x%({aZ>L#w
z22S`ieEkf(Q;Gj5iJz)M(Xp;Y>a%^5ISI#KUXVQx`<%%ul7v@t2fymUZJX^Yj=_vE
zA7b@k9m;qmIe4YV*TEjH3VdsL92VSnN8ABE<v%h^j;9!+Y3m864@xY`!dh?jvmd}B
zL7VNx;s2`T)gHri@_BcTz{eF-AA7@(wEP$M!3XU32?oM#zeWG;g{@AC8T-TPcC>eS
zVfJt)ig0)<bE+pdJXg5oL@4b0-R<8tSogq>uhDSBz3p^c;jYvv&L~*&-JB-_yee0o
zp8)?+dh%owEW}Vb9|vFmZbC;1Gt>tKr^3mWe>SgUf9mLXP*XBYXV?B@307j`-S`G(
zd$1Tg2lvx)KFWb>0yD#hU;(jC-a<HKULtM)-t)I9medy<n+k7&nQ6U`zk?$=T;dvG
z@8@p$r2g=fXv901Cv?A789X(aA6E<~KHL*r3jd=F*-rLPa|gHVuZH87w(*nw)3zNA
zH>%(iyI*l>@RtpCbRXe?%MNK|zxHapxl%p+<+uhv+0T7`p6=UcID1FaKC-`GbMP-u
zGaO^^B8|ioh|-HL`2sT?6UqsKoudQ(w8Jw!R3apv!QbP>M@HcMr?b)|p2BOt4Et|z
z*xjbWyYT#LN#-B$l#zV73mmB{r2ZX#m%=S$2X`jtexHFWJOUJLVB6R@p=tP`uvIzP
zPoK-UyJ`_W_P4Xn7*@E%Ot}D0Y%EkH`}O^&g5p+T^){Zfm*5?NE<L~D8HM#aP1sI(
z(V6ly=3{A0Tgd)rYU$qmb(AM`DxM|rPRu!UwCGT77nFWM5vDOZ9=rjbukmS-hV^b)
z#EZapo#a-<VAJ&zy~41}4FP9ic&aMRMGRICwR7JC^QF2L9E2%;=&W+XRRR5467biJ
z3DhM12!B;>usHnS!$bG2@Nn~HQCWEJ*M|S+17mQ_%Qy~;q=&mxqMX};Ug;!U=G*PF
zj`%cXlP}9j{j*ZZ?$hwm;<YPEaMQ%7&reusN7K_&@a)e9>JfN~kwfAPd?t*Z@f#e;
zTJ%~4mY!*+Zh_woubk6>A79_X*bM7?*ZH4?b>A)f)W8+@XoN4oUV?{%KfqZIt!CP=
z+&2!!5?C*A6ZK_S^OVL`67MIXyF>mGyl5;QoD2JNZtOFHr`}mc<-mMJtz3q%tGwpc
zbU1ZPMB4^tU4OYd88&G$-)0AEHq~Tg!gV($C%j=gBk_t<*eCyR)?@gMl$z2@xHbLi
z>0sE&!|ZGpe75NYeJK2i?QTmR>@aX(AOlX_mp?)3Z=3GgnGRQRrI@C{)9(L@Ucy5o
zudGwx>;0NXGvQjUAk#2-Qq$)1Yk2ePXzLKTGLfA*7w%ksJn<Ngk~sLH2p0AZ{^bq(
zaNZZphxN>DCmdm+;J}I!xU2H^FA{%AiBEj}Ev#_W#G1rImoJr%sf1f!nK_d9PJf<_
zc9p|IuP**Ff`gy@V)+bfnVhF2@uloNL(Vn9WpN5_Ixur{$d3-#XkE%n3s(KtY}yL9
z*6wm6@!$JI>L|a$#Y=2nB>ubh&J#E4U}b09D?boVEcE90q)u3P-pFbU7H19~Ajcah
z)cD>9TLl`r_QChuPR;hf?Oq#-dtjEd!&YsulSK6F4>(bt<sONrZ!9l$U;<W1rdT2I
z_FL@#)z8B6E<e^kz<aWc{O4dtx!(^-ynX3UKdLBO@cvFL3#*4kg)Vqg!wsh!Ia=Y5
z+jj6X!2azSJfC46HNO!?IOS+wau?h^a{j?qSf0T@^9y_@R(b;`ELxZFW*iO>+?d1z
zTe01GHwq7DcpCG;a&~v+reVrEyJ8N(7Nx8j<a)5|NHjPM-(BTsn}a)9q$5tk+Pv}K
zNPUdAwaUSHfzemV^$LG?$3_L7%Fs0%foZ-^XDY!muG-(o^|~eJFsuXXlvV%gg!A2o
zd9~q>A1kfN_3EKaEYXK^7M&c)^*9*8{6`OFGrRqZTrcOeVGC#2C6|wd#E)y>@f5iO
zZ}`p|UJb7nsXdK^dnWx~lk&Zt%U7b|xr>jFk?T*vc_};t9=?^TMDi(o&|%hn0aKO5
z*EhhS8@cyYz<T}r2Fd?pO7H(!3G<8dnUL4Bm=O550d~!dz4;No_P(LI4yF-FA1B9C
zI9nSv0C#lK{40UKNv(GD!Soiack|#MXX5Qg;polo9<Sk<z|Sv-;Yw=%za(FW>jxXP
zNz(q=5)Fy}H*qDwX98aML+wH0`TZ-96!--{3Ay<=4i*)OikpHjM|wZ-hg;2rk1xXQ
ztCK!{@O0=G#%}n`v5?bLa5vrIj6wJuAB83b{9KgQs0R-Dw)Mjp^3jZ)ytw)euCw?2
zI09Sk9(5$=bFV0<isY~9;u2*YhvT=cHnhMj-S3`|*Docvv5Mrsd7rx~L|(u04f}@o
z@ar>vNu++A)BVb9IES`UW(NLXJ6fL!XYP2qK+aE8WJNX<Hg>8BBIjpSXP`v#_o&=t
z{zU4ZSuw8gffHLVQ?JABrvyJggaf|D%m0O+Wbaoe`GLg7%X(;9@q6j=W9>U|qax*Y
zY8dI5n(g2|&(L>=;Aa#!R!v~biHem2Fx7P@=PPiPa!c4T(mt)|zCPTddw}@}?ESvQ
zNfmC56n`!S?`~neuLA2U7>`N9l|I~mPQZTYrXKRJaOh=9S$H}<<oyXaCCkF?C~UC%
z$--GUsI}|KA$Tamv`_=S&d{*=IJ`m0SW6c^e0P<d<WFM0?-g_bF5+MaI{@ojI98j$
z_i0U%_QB(Mp;X53iT>NWNIoYvYOlB(u=Lf~-6X$NbZX*P3;0WPb|MG7&Kc-v2j{Z3
zrf-9>>F>1-ESx(mzy$Ak5q#DO9^>60!T`To$?&@kOYY`Kr-J`0@E5!X_dF4QNdfP@
zoP7N*ym4M-AIVpC@r37J4>(NASZoPikc^ai0LScd%ASI)Puh3*z?&Td^GJR=-q1%|
zyy3;<q(j57>IKo$5wN;R-H8GCQ?ayH7;OHj_btia=5d>zHwM-?Hd#UPw+SEQFo=eg
zsVPp7d~@QPhnCSt%7siAlp0`a-k(Pk;N@`MiVC=0IbW(8-k&5eQV3I|<~moww}WJi
za$r`Qn_E7@@5~OHXTzqp*Zpf@hbR-nSU7jb);-Pep%Z#$PvQRe%qE}UI1l@8A#g<S
zyMOJlInVWpAb6`^o^%_WUE^x%150^a`SKNha>dfh3ubE3X6uI2%pZQg2RGVBo&F9V
zOVwF&fyX=iyvE?DAGWvb;1|J_Zx`XB%SRqq!8<m+TAqiEdNkII;SxFJ&{cRec0cuX
zIF|Wv^KaPvfvWo@QhuY#lClloS5gArx-e^ScG^11Z+OU4X~6lcQYYz9E^~xq(^=Rv
zfdBpm_(uOxFGV=}=nGCJ*yQm>e+BqAZO8=%*fLURqZItAjcs-d9D012SrT?%TiMSF
z+hlEfauBYacB<usYm|pWMB!O4xs%&q9}ix?o$%1*{GOfg;~$g3T(Ckz6z2}o{xv<*
z7Wi}ZrZ@a>GFuxP3w-!{(|#V<X@!MxJr1w8R-#r2*5BK?<uB~(x}8Q4R#aLFT!0@w
zaEsp$n_Cx0%)$Gf81(Fe`KG&Af52_|C60$-Z{}#u@9-dt>&yZ8k4YCxCv45r>U#`k
z*ZGg51MaqcRdW>nBwP^I2n(c8U6X+ivf4jwfIs_{ewBnHS#v{+Va{YaM|t>dtz~o}
zY<PSm_XKP)=esQjwsjU(SB85N<#uMnb|y5wim>)Uqo@>EvrbV!9p3q6OTsgFGb6W=
z8howp$d0FQdBmkZ=V3SVVZJC>-kAROIe0Enkjn?=YLR8W2=_6!@p=)vP5WrUA^Wy%
zzYU8vZ|B#C&zhI>+=3-e|GKINM<)!$Si*<PIer_$1?|4i%;7D;Q{q?QPj;EyhVUQJ
z&7V!-Gx3^&2Jjo5VMY^pU;M2k9oV0fBK;=J`eAE^7A*K*>#!x9yGLTT8hpBig7Xf1
z+S^`C8J09@(s73O?2gEmg}r+QrtibOS48uqVUy}i5jWWT>iI)Q;8)j+svp6bL1V|n
zV2@-^s)z8-Mfx{;;bt?xSU<RcJFZv=?mw`L-3PWgF_yaxW*g&D`wxD6o~n$Ml#2{{
zhr?>$_DFAnRj+mP#=^RbuTIjzJpW=1p2GbTUrPVQ;{A3hWH|}8TD<aM4esw|w~vRF
zjyx}!gz34c8PecRCef-1_}<?SDk<<DU2VA`_&>2w*Eg^=&w2GexN@IHQ7*jx%%!d!
z&f`9$RSXvd&o#BeRJN0Wg)oB)*O>;masKX=CYUG0;pzuCf%8CgBP`<^_w^n8>0YYY
zFr1|KWhx(5aMDa3f_<-1-N=TW$Hu<Q!iJ|RoSwtK7X8^~;0W*OxkPxyM=N^?mY`Jq
z9S>JbFHJ1K2Qr)-|AYUf6+T>p@9k)E4TpD{>X-k4#f8?EpTOa#*!8K}v7R?n^Pexw
zaH;S=3OJj>{jLXGVPJD;Bdl-w`GGqe)xcy;3qO@uUvq*(7t3gw;XmPLsU6|}*#ElI
z!v_O1SB>E}Lh0MLz-@1rDX+t0UllL1zzst}_b<U(tUqQrU|~ADN4oIhPVfEf@Yj$8
z3Jtj6j!?}m_)pF#?OFI!Z#mUY_-6dJhl=pH;gwhc_-wwOuL69BYq5(DzDMV~K?<I!
zdU8t`=HsYmkc8Je_;dEate<}S9E3Yl^G+Xx?{^#v6oqeYR`U{t_s*Ep3&PJgbaIQs
z*JhJg1mK#Q8<&s3_110vT(HgX+=3MR*_=L%6XsfbBz7ELI4!f81wJIV@uNK4EN!=q
z8Me)dqLYJPK6n<g0bb$cNK%INt=b}~;g-SFK1FzWEA7_R7<^vY@i?o)ZoiLk{f1S7
zv)-t|pEsEQHw%|5^PSa#4-bdLPQzbIvwSsS1?_6iF}VHdP60jGU3iLn1pd!5&F~_u
z`j<DR2WGQo{cQkSG%6)^!;iwE#jn7V)OUBaz`mvHO~&xAk1+zxaF(<;!*y8H{BuGL
zEaN|(VhMBYok{%wb6&R^GKU%V?B*|lCA;hH+QLJFa(myxt+eWe)^NZn$CO++<@xW4
zd+@D~&t7H2V$;q-uCR?o_x@CPe0zPFC+v1?@^CUNSD>`^06rwapYs$B-54727?${V
zC_f4=U1MzZh7+$_hy}y19CdC6!fE`sB?95s6`#`m;mRMGZ@ge7i}PP&;63ieWghU2
zkJao?;TVrO={qpfZ^~CmFy+OClg=<_-tC_WuwaSkdmGqtW0qGs9Ok?KgB5JJV^?J=
zY_Dx5ZvuaCd9aWNH&W@V8^ILGKM%cuf73?P>B0d!PZ?LjI#YMswPD_?FA@;UrMyR^
zQ1c9YZn0Ui4%QY<y{HP028uh@zyTkJTIFH3TaM`+@ZO#`{W37Oz?b1RxVZ3_{!!SC
ze-ryK?ENp_>=3+Z(nM<rw)r1N_Z`pG_s0P|D<c|a%B+kelB{GT*@|c&QBo;{6dBoM
zeXWe_nUPsWM#?D3N@XV{8I^>rtl#VW{(L^(_ukLvo_p^7oO{Om!!|c81lzyJD_@6$
z6Hfi(g}r%}XI9}|@el5Bz&{sRYgxN6zq{aXz&2Py-1Hwa{IW)tnjSVhekxoUJ`olz
zxEhc88o_O-0(&~?<k29m`F>IF8r=Ta^Yt>~&yR73UV-K2+Eiv?!QqwK+i-sFitZF#
zbc1X87W`np_S;c-NnlFU2Oj6N?iz+4HPKsn!6$mF_4{E_k4cI^c(;-I*<RRzk>AA+
zzAiF$vI%y{TVW1`FS**Ceg$*Ju$>Hs75{tLSpzQ{{~C*g<9pS5s$f|+F7q(>^{KIr
zT)0B$=VA=3Wpkq|8$NGJDHRRJe5}?_f$PLu+Y({F@grxGV9MIB^a*hA)6fqO;GY?J
zG<C3o{^0K*xcE#~b3JTic;6ukRy_7Ks*mh{t;#zTb~-tBb^sQ0ytFX}R(Kz7K+%o&
z1<oz}A@DIjm#}rjwUlop`M|aR_6yS@PJOsM-3!jz$bOjymTF|?y$e%kG_Ekh9u>xW
zoZxq~k7YN(x3elzZDGz9!%k-SOyo+IHS9OUtGNZvtuIeDf%60FzOuv19!nWU@T^ye
z5eu9U@ib8bre_hH*#TeV{hOu+r<F2@al#g-^m!EF_TYnN!tjF68{xySg&K2$ARIm|
zm?Z(<3rUp}gRexJ=83}`srPP*!qr!51cl)9U&B)6;rore61!o>%~qe}VCQ!p1v}uR
z%QqCy!H$7D>zUznnG{N6m~q#$<2&J)&AbU0VW04iTAc7jOD((WFmrtGr(>{wlV#dn
zIM8KvR0%HllW*w?rwlx}PR?)CResGI-j|ztlboONy?}aO_|Qw~*%NSc@w?Mc;NuoT
z+sN@+#Ox!A;qRwoLdp5Q4*a|K8LZ6_5Gf0DU5v6UhbwI6Hy?o4hqtXghi8RHSj6Cb
zmLj<tSooVkxB$GZHT8N6yvI%;o*!0YmwVI<^I68Qlk;iS$ye-z$E96%a=_RAsJL{%
zMPWZ<H^alaCCokWS(Da8M)-%8+KDcBf<uv$8otm`H2Mj47~IK22?w+Fn)bm9dF$-c
z57FNAlAHemn;sq5IR!W6U$hy7+5XhBeuit-t7yKH_}MtlPjJQ7Z*E`VqhqejE$~L|
zLu?bUEw2GbGn{d^NpB3sqRpt6Fx>#l#BVtF*u%J5IKWrd{3m?G%{`(3Hg9uVoPkw6
zPR2ZjFP~4lIR($fNruJ4bs>Ya3-B*%WK4k#C@4K<;gYLkApx+z`$Khx9@PIAstI1O
zjnq~~M)>uecRWGx$vTxx7P!73V)uP`%~gIs2b{(FNaP{hG3oG%2Y&SOqIfKv_UCUP
zAAH2_$CDKJ6`j~FVd86P6-lu3Na^Ta_(7Yn{3CeV8(|JPILbLtH64DfsgZgFb_k8q
zehRl3`pc@q7FI{}N?^t6ovX*;UsEqWRKkANCega^M~=(A74YxJb4DlOZHA+G2|)ib
zmCVc;c(TdQoRnW;+Z|V9I8-*^Y6m=7NRe*^uZvdLk?V2#Zl2u@SSv{C?*}+*a>*(J
zPEP*L@D|qkuACJHw>sVksDp1^D(gyy?;2Q!KZkESE^JMLlP>>aEQ8gVL~}FA{$`iA
zk@JziYdw+<Km7PJG!JH!OLWVF8=B1{bKu3b{)!wpDt&x&D%|p&Mz0wD6JgAf4DWd1
z^*SG(iM`Gk3cH48UMPiA&h>8%hQFnLefR`!_q!D84I9L)OH{!{${i7&a3htx%`>>X
z^Xz74ScA`y<|W+bU&nk0excFqS_4b0zTadC&+7EEG{TR34sW%9*JxQ!*29!m4I##`
zp(Ni}Gh99)6mbqN<74<p;t|GLKGN{+GFt1m@ThTNz#+Kxk4p9%c(y>AS`>E3msffR
zhvmf5iNId=#bvD|o}NR&32$dh)BOl9*wSv~fG^guHInVMwYIO*!2fjCOnTwkF-IzD
zc;j1{*lzf~$EwG29O{GHPVvuVdyccdOR%`1!Szq@5c8J})3BA;LCO($F;kjm3LY`L
zrZ5bjp?>K#3g5n{(lr4$hO_vOz{bo4+M{qqhM>m>c>Bt|Z<BBqg|km59O(L#=NEjq
zjABDGoEPF*J`4LY=}|Yq5q)E#f8eigELO|lrT6)b3vl5~5k)ENm^!pR2jBT8ckeN*
zTbB~M3P0lU@y><0C*HkZh9!cS)>Gl@5+T>AdU3sT45(7z=%>|L6fn2*XO9@zbhm>7
zJuDEx@B08AT~BeQg=HJ_H-x~VvHDxL!1+DDsDoh6c6V(i*vHn{%L^V35&6anUw13>
z^MGY}PV=z9R8B`JonU|J)v_J1xrgh<+px|bf$8mV%^<ChH7vOH<~|=B`9(3{I&7x;
zr-279N^haM1Xr`|o81rRz7%J?0N-)a6%&OEpFh8U8eTp8{gou#*ZU*H06x4xLvavJ
zlDkW<4WAp1i<5(OPi8P_!aPeAA7tQemV-gcaQ7y)8%pq|Jx2d2!XoY#j}%}-opA<f
z_~JRoE*)6TPn6{#eEECGR&Dskcum+|c(h<k&MBC8TYr=g91tz|O%LAMdwnY}Z2F0h
z*&Jq4N!Y#<elv7X_X0d|Y=1N}yr9D8W&=-7oJ`sbD_+`PaRaUr{KmNver20{;ug%}
zKgCTA*Nx`}+QZ3$KJm-3XpdKTKJ$cW*CNsv;4IyM*?X{8pCIoPTpxYEuo{kbZC4zE
zojdMKRKog6R@L2bg@3DO9qdDQ;>Ab!?9R&S7cljI6Y{OF;XitVCU}1Kt<qa~Wa4k=
zD_DB)N=+S{`bSxy4W3ju{_+JZC@*5(0#65hJyHSZSlKVUhiyk|l*?eDEk*}BVewd_
z=g3v5e9JPSxfi}ODN&aP&scg<_rNO@9SZ3%<4A47XLz$g=FwC*Tq&db6Kv3Ov^ExY
z{XSqb0w3aFt&fK36KivZ;UlvpilK0e)r`^)cv8+wB^bWu`oU!!F1^e9!W*Wxr)2&^
zwy*wK?+KR=e%1L6*Ifuwa)u8qZyK3{_aqn`y92M(Pw@POFQ?DEuz`)}wv;c!nSIY1
zZosPhe*Rg4vsBM1TfqCRMR@7^FyE@RU)>CDdQ4$V3wt`aHlBgcX78Nd4DV`?d1DCk
zs7&u;f`?msRdryODNbW9I6gpKM+0Wa{_$W3e4%yXjS@U?ZfV~x*hM<ARRPYq@#YF2
z{O_}(rW9;<{QasBOsD!=M-ujUnj$L*tLQ~Ei@;{wIaj3M8OhOig0M-BU792;<r<{R
z1OF7W?off{5<3ldz@y#b3`b!v9;eQ2u<4vong%>j&DOOAezG_*pay?StJbH5cdyr`
zn!-D~z0Xs?I$xa!OknqRk-o(k)W26!sSdEr+s<z@aF_pBza6~v(bfD1yhk%6B>=u2
zM|ooeJ~JWJ?*~Vf6^;$Sc7gTDiSTb_wwW%thwgG;JRE4(VA}=@q|wpl!Igcfx0~TC
z$761fU|;!l+h_2|AR|j59Q4u3p&Z_4m#do(Uliw@Du6>MY)78L;SHWMkKub$bi7Ys
zKJNoJGhpi6H)WNu5B>)=4c^qfB2o^!4gb9n4(H!3t$PmJs-C_1ADj^}E?osboGZWP
z4%_p_wbjA=A{^GPFrA?U-Ag!Cv}xP{E{f(1pM(u9YgVqn)Ll`hr{Mq2(0bm4^~7X<
z&BIduIzBeA-SLW&Mfj3v%*H#guwCZuE&X_ZWz^Yf2X7b<livovdKMYw43~4=xyA>3
zuFgMngas!~4|2g9!>pq$;P{q622og`uJNH6{Fm0kLl}PYRX*wj9M1li?EvgMWD%nS
zmnpUdk?keF^oPmA<uYgZ55Yaf8=~ak4S9b(_QK7hW*!^ivE3dM{BR__lp7ta`gAgm
ze7-sL`I+C*IDZ{aN;Y`1QDo{5{8re<iF|(#ftc|jcsgUpS9<uEiP`tB@SD0xmsOnq
z4yI!#9>EV|l(x|z{;$eIKNGgTH~n%Q@e4nqnu6ejOSvMXysnfRHip2G+FRJB;nas)
zE3U(;A@A=^z{a9)pIXByG-g)A@cbRuM_RB;#{Lieu+zK!89MOdUmuMgczmmOqC9-n
z@$8ch_{)&kLk0Luc9l>oJeuwiDGD3YMMX5im&XLd#NaqCDq2z>DEB+w=Y}QCzSxoa
zMLWjk#|sNFB|ol!sc5PxIN;V<H@0H<%cgT{+u;+jRKcYF9#TwMpoK%s#{Oo)*;Uei
z>0zeR#o`$-bw{rq1#DIq{V)MO8+XHo3jQ2w@$n(taFOxHzXy0<O4d@0gcqISM_1s?
zd(%(<gB2<IhJM0@c7xpH{@fXQ@zW&i?OT41+@H%j>*v11k9TC&yTdO9d`^$SRy5wL
zu5ejA@B7binUeigN7(XZa{Cwf^m*Aqa{mveer)Q1b(}@jtzh*dCmK6pfjl<vtMHrb
zG393X0nf|}J@`c1VQI3xR{H3_6L6$b=abj4M`uC$0l01R`OJ1Wain-q46ZHy%}3&{
zG9Ej(!?g83*;?VE_@oF{m?xECOEs)#7{1I1OGcmG^c-$*rrS*oFJ!X2M8cn1=|flW
zyiX1?y7K_0YqnKffEUvjf4abKN1St}U=JawaW|ORV9tpA9@XWxnOeXPhS<dh;2u`#
zGgsjOMJ=m7_(NXx`wK9~@C}8x@SR2GmP@eF>1^jW@Kfs;bz|7ia)d7rt~F(mCGnc8
zV&`*UIm)O~Blxe6O|J{QJGm>-5{}=xHOUPwqB7yLg*|(=*^~CilZ}Sk9pK+yMN&86
zhmZOb$oKDXPP}yv9;z)1^MsA54$2zC9CnH<fiM$Q1-Agqzx(QZ47@BPYqT5Ii0F0r
z4_>{wyJ08%`hKo$IBda`62J`yPs`54!HKcDuQtLvrDDG)!xgM`fpqY;B4Mj+_{#}5
z(<QWLc@!U;KZbQDe(;m_?dchXk*9DxldTzPpT9A=+EWSp1bp00+TXkRSB&f7fRsyg
zC2*#!|B-jFd^fXd5iAq+^H~$TVd{rrAk36ol1}PZ%xr#m0K90*%uDLm(!c38J6Iql
zcpIr-4f-$WZ^F9`CPGR5N!a9d>nfb-bs_K#+%0QRWC>sTTSfB{UW;YtyZ|%U?V}*y
zr%UE_IC;PH)cv|t3?Fp)@82mnQb}j-3EcSWhO|C>Dlf}E54P!Vymc6!`Os=Xwm(uh
zC_~<VT_$gjJ%h*ncy0^8gP+~{YT>)G;&MXpUV33ua(+8br7>=Yhss_Vw7^RI1@AcF
z{W~0bKEO9*?46eJzJJBtyKw;K&bF6dg$0@=G)Ca~>?hi!|3f@k^1yF+(WX9t^nWby
zdFGS*`#8I<SOq*0M)Q!||H3vmu9v}yswdb;JoEm<)>t?`CX#~0o#bji#=&=w==#mU
zMskzcfpGJLk?Rs%NzFSF0O!OcE&PF3HNNrL!;ZTn#^>QbSNKeC!aMppFO%;h$m~F+
z4@dR~=#lulm(P_>!fy4At>p7Qt=@8zg+Iw$dOi#DufKgJ4Oa>$%8}=nDZlA1arpa7
zheKrhiN$9Z_QSnb9~YDJm#EWuBLJ)Gx<4L;*K7-@_rL~ur9$NSb#_q2mJ6mH^x8$9
zUl%Xt<dOb7$v+jzJ#gD?C05ekCv4~Wun*q+E>~|G>?BvlM(W#xAeAb5xMJhot>k+6
z`0SG02rESn(UJP1wF`e8LHaAZlc*Zu$(K@nE3kiDhX;8+b<uRG%)#IG2D*^vQ=-dB
zk6HL+dgXj6oNM`K{3ra+({{QXz8>}G;yC=_dh0|MTz4s^<qM1%KqKUSE8fXPHw3pz
z<eI0zZ*8pxI$(>0f2T9xarp&~b~x&n!25VOc75Ei0+xTUp*|I+=Jk#!gJ1p@RwVcL
zr1MtUSa{UxnlOpK7k=hQ`hTx4gk;9Tb57m9H{m8Vioi5DY(A{c2Bwzar+G-WXBXQ?
z`n#QOMy`|3yLjW*)yweattGDH`O9%Ir1L!d3llQP^Ec-F$;~Ek-^}5eVEAS8A14EN
zS8MvOP*~*cvr>K7y07+{AKWo$!lMNXZrEiJ0P~azn`pot4M&FV!OFI6jii76pG-oZ
zCv3kXg+d9YdQy7Y8D`!hp2G)Ag;6V!c)9kL?>z9+BRi^{VD1-@!5d)qRpCqzSTV%w
z%^JoBct0QJBk=(NQ<`yj=ePdN?y%bNvnr!7OZ!BSBmCmHm`4Z95qbG8c^*4fNY=E$
z3;}j?_HcuubyzKIU|BG68+LEJ+gbxhAFi;pfuo;{I3&Y@+UvR`KKy1waUy)ukmjv5
zEc@MeFBxANiCxSh=hIAAeua!L)d?^0+rchptTV`Xmz+q=mOJp3)|@Yfu+^)|U~>F_
zqhtQkupX26Epq(S$%BoD;5VOyr~ZF@`QIPN_~z~#eDBEq^xL$zF~L9L*mTJ6PoSiI
z&=AH`y?PA<$@z(lZO|p-x1vQBdET(V)qlM2;o8vRB!77Akl*kJ*et1zKMbaB{m%0o
zPIHdm91VNjzV@{iJ{nsPnFK4c9xp9|j~(psBlW9g?9Frm9DB8%g48dm?5svIp1nNM
z|2GjH|4)K42^L*$up{+p|LjOM8J`!_Y&b*WJFGpvyTL~u<h+l94UGkZFTm{$SDq!n
z{+B!6oQKDcX&fT)srHlvU0B0!vk<B8%9DD1+VGXp$#nAj`0v7raWbFd@!M!Ga=)a|
zhUN*u60ub@<okAy{b1pP8B(a%)8U$Np>BToM*ChL@_TrF)>CN*{Jg`?tpE<xsiEM4
z=Pt%<Aou%YudO#&;p+4KOBL`2Nv-|taHsx;doSUL$cHhTVQRIbPULyxab(j@GT)`&
zJJf?bj~W6_`7*$l)LNap;Ip1VYK*YJe={qC@XB0k5jD)JEjB*{m#I-XY=oc88M=(a
zy;E+g3z(17?^kdA3!XG8+(_o{C|dpa^B1NT+1WP%Z<o~iwg_J;P*3;?E1bM_m9$T9
zcp5U-!VFaMicB!|9eKSPIQJW46*bH&TppYSTkklW#Q;y;ex;iYpR2yUmj!m_5e^K8
zZ$5Ei<%CVt#I+;gPZ#sz_~GUn&C($F^SkVb-LTjOvwvZ5L!lB6X|L1owzaqqC)dk!
zD8YRV?qk95s!b}d9=y`&tLF=k=*4e81^@Rd`2X|2W;<FFjp4&C#-e0?-CA<PX<L}(
zKb7C|Fb~aI-yQg1ro`Dpu=@6n_s+0ghfefC_~NIi6L#=undsHsFk_vtvLlHzZrUpV
zyXIIny1~|e^lATKzF_X6O9XkJ`DPGw{5Q-fC(GmwzbYBkC-XT!6ki+<hO5R7gujO0
z>hHMh12cNebO*u<Ge*Ku@af~{*zUtMw>D*x<FSm{@Lz)e`byk;0P}f%H#3J{T=~32
zj@P)$M?xR&d6x7e4CdZMGkXeF@t(1bgB!Y{8;`;IjG1PMa7P!jKbb$vzWLub@;=7i
z_AY`KE_1o_yb#V1R5Bp*cf+LK9j$=hS#-pWU_SA+r?ym0a1xDc&oF#gXR}8wERyfJ
ztra%DclBx`yr|vsz71x-^7dyd{Lk86{xvMF@bz0eeAl9Cr3uaqP`%azzbiDcB=fP)
zoIPjW2QM$D3zGTT{?s)i<b5*DUMY;s=Wc6l{qzlXVDr->^Sz&aI&kq9Y+1%tSqlG`
zq-gXT?kzHRDTigZW(>~5+gxUc$^7%A=7O$8*!am^OETX)i^AzMJ>GX!u2Q$>!K{HE
z-J4+MEVZzF*y+TGF)J+P+q#em+qO@fVuyu}opd4d-Typ(Y9a&=GPVt;!V^p727BSf
zP^Qdun1PwAR|5Xz<<FP^`<~-^CkeY7y=qH@EkAe}9)W|L<fNlvGiDDRML2S3)iDa*
zP`~|+6x@8vxX=x@e>Y!5-sdSLL?&I}Um>CU$nnx&O#gQtZvQN}iNxcn*z_*I0?tuk
z$KVsi9?#Ce9!qus$I13uX?M@T;d6tVNdJL1Kkcv{eCp;iDm}RRTKMQ$_{8BGY^49g
zCU5KniN6s&&P4hrwi$?blJyCTA>8bKFulh;IUQI@caA9lE_F=%N7gsgKDrng23NlQ
zc}WenFq007fV0_|_GrKvJ2N)N!xb^7LX_dOR>zHr@TjbVt_tzbuR)n`x1+c}Ss$XH
zr{a(YJ5H*p?}tCTmCQeZg|o{!cwl#1sZr8@bfGZo3>Qol+jy}MroaBVmKA>b+ry|B
zmQ#Pf$_(%7VCu?-Ro#xaQ^9ISoEl00(&?K=nJ8i9bxLK@zvMV`n*9^jvv4=5u#^5M
znQDvE{czB)<_PlrE?Y{>ll4W5cXrt2!wU_%QdO|&$E2TRf6wR=n#b^jQb9lYyxH>q
zUgyK&q5I6p_xZY3B}UdidFvFOA?G7=CuZsq?7AX4Pz5WFKR-*>PyKzG|Gowe*nX=o
z9WJ_(H$eK=VjUxoCctq&g+6q^MsDg2$*|u&flpsx^ZE<>V&S28sUL>n$TXIMc$ii-
z`O_>MbmM?~Fnr=sNXr6TU%gQ=6i&LpsJ8+Ag@wVp3(a7~CJ!z~*u2Jk(iG;~vK&hV
zUsA9*eFpAQJsm~^v#4f0Fob(lI~Z1RJo}ruD?0FoH+v}8VQ!s2@??G7KF=igd3b<-
zKI0htR`0hX>5m-c3frX&f2;j;V+=kx_%Mj9|Er=EwwQnemVY)&!}-sXK9lo1a%E9M
z99}aR=_2RnWPH+oKg?HuPQM?HyJ^}d0RPR3*Z2enCFU9Lg<~n6>QBNC6N>Bk;e;nM
z8dGrilHMy}nA@D+g!Hd6Ueef4;;r}1PqDz#A?h~;;SXmizKFv6lO=n2;9t9xdc<Hm
zZ5hrz@T=>eFO&Y_7aO;Galxv+JI-stpXKc-`QT(eaZ3}p_KW8A?eH-ZtMjJtql7t;
z9q@3@>=#S;;`Qc8vL4cEK&1C7T;X!dfEBI_E<0}rYu{3-W`u>xCkz~5`o15oo8g1a
zj=e6h{c`EIjqshHSsiY0RJlne9V~xQ!q5+HrQ~O%fKR)cX$QdCEU#NB;SUBsJHp_{
z8!U3Ov0gKsb^3BP+%q>ao&`TrF!_=USIH*_1i-B>k~NRu{5N7ve(=*z4`oO^bH%&O
z43?*3V#t9PE($P_^|>_dwtgwFOU8@GN^r}OGIMhL{8YQ23UGxy%O|q`*KNtuWc~Bc
zJ?{$0{wZVT66`SJ{k?n1cm&UO%7>d_O}9_HWV~VzP1N>H@UEjF>=CdNznmu({Hj2X
zDGEOGy?dRk-|k=gPDREa)XevF{DB>QN=%dTV0HU+f~+rp!P7V92vcRs@O*}qk1}_W
z@rd0loEJX9$NVhxNck@p^G3gdOKUg}k?{!?C&sP@_}rFjMPz&;rS)=VDg0L2DbXIb
z&NUh#`2tvM8aS-rp3;pvkKs@=)y-u5LNsHsB^5q&e0^F5-p49?IS01a^I0b22_ZDH
znIvDqjAiSc{qWmVha-h>&NW@neQ@Wfog2wl@a#*>@-EmQ{}C(s{Ly|^8h)5YJ;RWE
zzH8Y9&+TxV^v7S7uvm6qAUiA}*da>t6`UN|O|uzpE<G{V4oA~^^3%b8oQ_Jh!F%;v
z6UqIY#D3qBl!w!c^rB_B&DipLFD!pj;Sm`>ux|En{{l;2&MX>-Kb}x_?}M#edJ<p5
z@4g=V-U&b0W)t-W{*%pa*#y(*2suT=UxaqHy?_PjN^N4{>w85*tKf{J`$MGvet(zj
z966t?)y>@=@bC{+sS?<P&rsh99yn@{lnZmUcd6fnXGJd$X2Z90IU7iSyk??zK^!d9
zu%(#%zHLrQn2dony!H24!(FPM=Ir3GMZ4wOur=k=G6%T*qNL|N;;qjoP2j#LT?=1$
zG%dKm6h21JJRSmvMcijQ12Y`5`b@?joRy!SHiX|!WElCwPrp7BI1YQSs;ULS#*gMK
zkHHeL?sZ=9+}Xcv^00tsQ-u%wp6~7nS-AL#R3Z6&)~R(XKLDq(x@3~??{BhMW<R|4
zVI<xH9vWd!5r8KPcSl&lXMb-r=Yw<Ro>P+Xg2@byH{0O>$N5EFcqNxNkOgj#3A%m=
zZVZ;4-UO?f)R;@dH48BkB!9`%;hzKhVMf1_hm<g<A?JH>nEy3v{|4CXfx4~`yuNlo
zh2%rYGq5{G+D9U654}mgly^EwwS4fyrSczBFs*T2=`OfuWcR+`@MgwI@g1;`-Noh4
z@Z5+H7Z1#~QP*t%o=<jRW`gx5Z;p`sEOXJ}bX(w^(t%d>@YNlgdMnZ1lWsju@fN=9
zu=<s>XS*F&kCA*ZA9fUKhQiiTIRkIt$(mFH(w-I+8yO^V(Q|v1t>7#p&)dy##m${s
zSK+FChh!Sz)nbooUD%59ReKApZDsdL8*Y<h=_K(dg0m%i;Ww_)*IHp4!*A6>aLvjY
zktSF`{Mi1@@Sz`Vb?tEOs)P(99BTKL`Zeq_-<tdt?_+NQ#S`0L<}Ecj<ozyV+>)D|
zPr!r4<aRiEvc8n$qtUqgJ%{w4zn3?i>wq_Wr`kjMtHifntR96!hs%zV{>d<}cP``b
z=;DLdr2jPRkP!19_=uImJF>m5OG4)~>?W&sx(&XauC;*z*E6zr^&07qr5x-~UPt`#
z6aEqM{%Zf8zjq_z4Z*XM<oHi6W^Jc|+1_wik@w#Q@0lV-xG`?jp%i|8#qkfRKL#?J
zev|iS#W0O>ewcab(xyl7HI4dtURW+8(4X`lSe`m6APx_8(#Dhif<(S@OH#k5o`|zW
zz-t@-tQ>-`f0*DQ{Size77CJZDLZpK>95#zB<|y3cu=f4!xs*E>2_L%Y)`u*{uZ2B
zoBK-<p8wgNLHcv%+5WR3_uIb=-gt9ZV8c^tazD-(zR$P-n<a00P4e?x4$)#e4sVkZ
zFeUe|>*r;jWAMUiY!cbN;LGm#!|?DUuZ>6GZ<Y4pN8k&7V;bc9O^%5zZi9W3Cx^)Q
z+b#W_Vk;cFviwaH_SU2tXo<pn55G|ta(=?*H6zXNkNik4Qa<rb3V9arfgHo_LNLeD
z%F~Om@584%$o*aB;E<{W@29$2LgGW55_t;n*Hyc}Jn#m(+HEZGcnou}Abe}dZRa+4
zYo}y8H@s(v(q}Xh&;N%Fm&x;^XGeX=2y8)Pc$Mt`pS$qgdibb9*D8ts5F7J;30H67
zK1%j~t#t86H2l>mq-PIoEYJ5h3J$vea|aj9axBWk3XU-e@nwax`QGW@fOEbUs%?Qk
zXfQSC!=Zy`i)mq=)?<|hWPf|sX;Q!T-9B?j8`j?b!gvk!@r3$)5ncF-hiAeHtdjdM
zOBD|Oug7*0PTBk?LIbX$O)L5d|1(@?REGE2>2i+1vg5m{RAAehoyNnk$C$)DIk>r_
zxuG9UXx4X>hj&gTQuo2VUKgeg!dDA)Y{~uC{p9ZVL-5O#Jw@dH+qlQiTok6D@7_+H
zFB2IFXT;#=LJ{%g`B3Cnq{9u*x~Nk>hbcW@s_?>TSGV|+{8c%>-^p%<TQc8HmB4lu
zpTxGpcXot4$%p?Qm`a(CK>kzDlU!MFllI@}MfldJ@K6fO61{<T2)4ZaS0fIlI<vm=
z1>U(f8A$SZ{Vt_&?uA)pt7rd%`x}>S`r#$-%G)GAn1c7JMKe75D0qnEBWq-wF=~M~
zS%veF{A0>Dra#uhw6d3jT;Mj<uWuXSiB_8yXZXzdq2o31qS`Sjd-#{{Tlrczs!;#V
zO*rIqQ+XN8YPqIq4y#-XPp^bEKeGm3fTOvCxl3T%-sm^#@KH6+^>SD+y@Fm1UfQ(H
zr4UxX6naY$W(XO+Sqx{bJuN)~e`DzTkqs|d1@lP3bp2Uha^a$ZZ>bWne@|F<9K1{7
zC4&fT!+*9l9@gV)*5ijC@Uu$V!TwyORh+Pq)dyh*IB3qphvctgp)vK7hX1j7PSU`d
z>CCRO@J+$(c9d{5?@v1+c=P~w|3Bp0dnuD}WiNbH#%5?1=JPpriWVM}FuA=9uT{sK
zr-2VTG1tt%U1GZ%`oqybnE6|u?C)57r>z&hxWjAbZ}{5proBn<%T?8qIauZ*_n`!M
z$?WjrFE~;yHr@`VbNUtf7v`Xx%(R7F=R%?;;er*na2=Sz<G^0Bf1c?3crEx#!Oh7j
z*m1^nlLVYRPU}PR36|A&u!+Mr*gw;d;~jhwy@>}NRklqa-#_@o7#kO?s-((8@)1gM
z6>QoBhZ?m$U58VBSJ>!bU*U9Vl7G<VK>eo0Ftqm%?rNn%c`aSu!afhT%7!qJ@;hWP
z6Fvzav8T<ThYQ1wB>aSpTW^lg!a-BK?BC$+lB0LGz<*e-@_mJ6zUfqx>toZUmCy^T
zIoIlu{DQ61|7CT<HtxG4N&dhw)?0k-@O$NOp`EbI-cpfPm^NYd8oA!H1#wvoaASzc
z8Xv4!)m>BvZ#wc^i5HGbtrn?-h0gPJ3Bp5}^M@*6Uvp1(0l53uKv5w~S@ij_D9k;<
zQk4(8(<w}n`t~Gp=};zY?ib^I5MJ^ZQ%Z-IC1)EB!22Rus~*ByL+VDdu-iSg##ngs
zxAb^vSnH>#QW)G)Gb2vwe@2IiW++_Areja)|E6S>MqhY>J9eWgeAC6Y-5X|T{jIJ7
z-^n|z=>iv1N)2klKkwZ$aE56&2J>jZAzQDs--P$xXnlGT-ZmKAYXes|@XhJMTJLTd
zSi+`fO@mIu;}2p?E#Lz*#VrQ#^ND-C#_;K;F>@2x?osmaIoS5CY`PIVbUwgT57rrO
zy=Vt7j&{0g!C|#*8Md%ncFp`zcteG<>>XG-v3-LwoH!nE*AYHdTj?qTAIf;2L7q=5
z)gQtn;eEeYzk9)REH4@M!R&*lwnV`1G+TLuU}uGJy)Zblr}7~WTz<LEB^j<e{;XgJ
z9Q|pjIuUlH&lYBeIl372GvP9=w1Zn=hxB8S>F@@-@B&&`+4Mq92|TsYwT=ots1m+f
z1n<0b<H+)V7*C{*i>!d#DooUtU<#!-AIjipN1eJq@Pc^DHS+uqu9s{14b#3{$|d;>
ze|-^A8-;U*78FT7!hJ$)dLyvzt395ieafG`v1I^GV&P#U?bE#PlOOxwp%a>CNc&Q*
zY3O7pY+ZK1vm2f|mub-kyV0Gk`v_mOi~ZaP*YX`d^9c@Xa2&6Potv#<$?skKk!u!J
z@a?SzqQfxXeHEK$@X+QvHecYnOVZ;-aDuNfC23ElJz|<EfUA04kCFCf-!O$u7A)s(
z(o24SnR&bKWWdZquAIN%Z#8eH<Kc7vP8ZI?9@7cSaq!I2t*L1e{}X;E9FDur!%5no
zi?(}%LSPkd8DrA^JetW%;|o9HrJW+}&)Uh+&E7CiD9-`XK1lT)47>}UF`8&3?N9&L
zX;DsaI@dZ4d7oLSjoW+^F5!3;&kUbhGTLqfcOU2**b18%=to_K>x|>=$or9i|CXdn
zaAR|R2|L_)ly<u@9Jb3!jkJd-ZR+{Y!MDfm29WlRL{L@YNm$=vtau;%c22NZ8xB&Q
zo!$$7(cs&63{J7g^p}9;13M2Lg<E0@n@D?iT%n~%7H%CkK2O@Kjd$)=O2fbHEs~^Q
zn$TN^#NaP83<pVj)S{M0Q54?re%me5ewCHxtlSNM_bR0&?NM&?x_W+?wxUwwDC{d&
zqreG|MxPzjfagsvs&l|w_)U1!;U6*Q>o>y_Vt=2UfG0}US{Px@(6!r|Ft7NZBeS8{
z{$vP)K78?KxY{&)e@{Z2HthS!v!VyCis!y$0B<?WSJwr5#M)gy4jY~vkBflK!g|(p
z;PzWV>0$71_uI5eFpcvO7j5|1;>!dzSl8mKk0u=5J}XGh|6iAx{@)PHAJpfrChcqA
z1N0^{@Jb?+%0XCVEbqt*IDltYw;bGQc3SN@O!N6;KZ&P(+Ilbnmh0`eCGGFRw^i~F
z;a34|rQ~|dOPZzI!eh_tG|2unH|X=NVFj%yU9$hWMRlwe?6>6nmBf{|S*B^gw}c~w
z$o@AUtkUwpM_I2_llOJA;OuQ&u$lFlmn3etc5-zo81IXnI}OSHAFnTMT!a%xyE#aE
zKRKYx=`)-{8S$80&tuW1UY}rVjgDVr`$xlSD<9y<2fm)<dU8+vq<IfF9jL1#<@X`B
z%d;6~DX>3HuIHXur=TYISxSBkDSxr-i!?7_ah-D_y70M_4O^bW>d_H5$n~q-`ZKT;
z{%tS2ehRLq2#9(DORDC2orI4aIv<z@Ut`r^Bl$!vXXYYP;K|BovE+JJQMBCu53YAV
zxz7at7jh{w1df=0Q9!mAyeo6x6=o?sanua<?re>?3pYhdshxx0#yYy6g=ZSe`bfOe
zl0M)xtk&2+u0`UJLz+`TIDY6sH}d^Dom>ni;Z@ByYoxw19a7c&1Q*e6k0kvsvZJ3)
z^}}MZ1+4$Cj~<USnqeW$xol&^udE$8)dVw2C{2*hkDcLft0nuhc)OXy)0kCL10Oy0
z_W1=EPe}bzIKq-n{|fwEVxP$qm}7VBhf6S<=)7JU{7$6p%60hhbzkEY_-!sr&NVoG
z%k{1pSaDcYp7bvrR-gO)0RCGM=w=I>=?)l$z=HhcTkgQy?pas_!OTpGkq&TApSaOo
zI8@5-nHQY;PsaK-ob0wy{vLdMfacO=ctM`O-4DLf;&<Z`+_`SP#TRz`W<6>IuTR}c
z4~C0dC#KHAMGR%%0^vW$JFlOFt1G+cAHwnCb?(}*;M8XASorAY+(i|bwvh94GW_&2
z7v)hn$0*1=0d@%fy&w*sVhWv2hn0-XD8%3}pT<LJ@aeM}ZUXSGYxPZ}e^ZyI+;2C0
zQfiSd8;*2O*{~Dt)S6BxgsT)77&u`LK@*<GaH00#IxXyTK&Rvhtk8Fyek1&qWzw+#
zmJFeA`4x!wiJtegWw1&0HJ=}F!sR<%<nzrs4O>EBn?t24@nnDBk-Gn2#VgW*5wPfr
zp73SZvE6%~l*i?wUY;v(zV{IYQr_#YrTpY!ZlBn^yKsq1nX3Z4S96;SsSj6dcp8T8
z<NZhdzcEr@#P>#2eudoyzLt>ssz77S_6U}hyv0lIw^q)sO*!!9hP^)&;g5SBT(yQz
z54}4}p8r=PXH9M4msd{x=7BvZ_OLAk;C$%sc?!Z`_PyhogI~8bQSF9<dn{N-;0srO
zMvK7G9ZWpK@cp$zoI-HYnKYJ8_*=+z1!;JUW>T;Xwo=&SL7qQLjTLE)u;!*i8RYk)
zvSh9lNeh+Zdpbsr!bMqi;?LlK?9X?|?*Vs?iCj6np~d+bdETt82$dGVd)vIV$n&CW
zvG)06xJ`X$2zlPb7Y55_z_M<9Jg4E_3|^HqnCV1?8M!|Ls(#hP!Ou&v5EvHEb$=ZL
zzZuk#G=dxXw2%G=zr3UIirk+)bbVSOFx|qyM)JHk_w~^$A6U2keH^(S1N9OeUU1jL
z%l(&Om6dhPyRc2{8Eb1;rYFF_2|oOKw1C{N_wCQL+rmQgAC$=b_UHIOk2S31cFBv}
zuR=%jPF;rmKWni#!%SO5&tHOnSN9l_`&Hn^a<>uuK(Bh#9S%6?^5raiU+06B3w%S4
zvs(?e?=4&=_331L^pGk{wIHY93A5j|G(G~KDcjl+0K3o*SsaEn_r-7ZhXq-RK1;w1
zT-NEKFiV2KxHxPvG5d|&&#AQYmxSP0#=6^4FngetwE%1^p<Y4icfgs$V_Yz8z!pt%
ze+P8t{n-H@rg{)W?(hC}*Bi|6rQow%DX@*>gyUA2!K~jj2~MS|o}z_69X;cf54+NY
zP*TI|5+CdH;OOQH?#upIj~Wv4|M7<5Gxh#Uu;E9#m}10-T%#$bVde9-l`mk8qEoDs
zu=~sJ|DMC*^g>}HaLr_7$SYX4$TMyj4$Y-&Z-7~@pJwTY&(oKfwZOgf`CPql1D8Nr
zGwdbc725#|7ri;y2~XC3Ol^ZjcgQ<-zz*_xJ71CbP#;YX9Mt}APXqieO-sECo__o;
zr3$|GaHRJWTqett`wR{?Z#3zHSykR9XTv{Fo|*gtM<=r7WWhHKUx^LD!Eb)<N`i0S
zIrVZBuID-=ngCy@6Fc?|KHTtyKM2+uc>3`NeCWI2zWZ?Yzp%4o@Y<CRd`_@0Bh$oh
zxb6&x$Zfd&nc@L*yr3bKa4k51Ij?RKmgWq2r~z{xrS>0(_m@&Lh{Jm4E_3{Wi^J4e
z_QSWR<hdu{_vJBb3~)|TNFj;K(Dl*M!<v3KOG%tcXV2`YALbLKKRG@PtFT;I8G*NN
z6%Ckz_s7XPeS$;HuWw&~m5iJ``{CQ}CJD2!eF@i{X87jo2+?Kug0hiE6a4Qsz3md5
z!6N#v7G{_^yuJbBbJr6ssh-2eQNrG<h-*e{T6zrA(Vb$UL40ORg)$F*ztm(%#`8kx
z+1=CNw6tH}8DM5(E&mkQ?5DX9$*+9-6E{UHZ1~#q*;e?g;7NvPSUB;jJjuuW>+bxz
z4?K9&qm>m_j})NyhVlQ8Of2x9OG`d?;bBUelpV12ZGliHczyKtm+f%Yqb1s#FfYHa
zJs;fjWY;zuSj}|y2@gzvd?ENUoc?y@m>|4gn>+dv+<oD?-yV3E;>;Ff*nZuXo#a=R
zQDoyh2S5ASe^vyZiTDw95{`Y*KTh%~uLd(D>B7(Zi*Ja*C0=EbN8q^ZoE0hfh31EZ
z!?0U7v*IDR{AUjPK{%(Irb8aCFKFOB02iCuZaoaU6hDj?f)7NTPdf_xS(ju8!1G`C
z?NNk9Uz$E-g=01|mmP=IwQi*|!^XYN^T%Mx1Wj%R*hJPiKpQ^CdtQ(ZK4tvkjV4Ud
zc`$9=7yS{F2}b&`*h!VVRrsFc<xjfslMR1Te!&71ayBHN^P<jb&JTFWGO>{4d+yNr
zxO*685wun^fd!&Ii++LkerxkIf}hQnW%t0<-ErG4!n+SWFYbc3|5`jn#+x1H9_(v_
z1z28uy8_RNKRna|zw_i4u!L9j?ThMR(}B-r)^MV~!?TyLNt*n^b=aI<Tk;uvU3@XX
z0p^m`JW>w7&^2hbgX4DYswjZ{6zhI?z*nMJn{#0$t(!J(aH8Iu+BkUDfqTsdZm@aY
z6a(AD-%|31ZEwY@{0EoMbG-|MUjzkehrkJU?6;A8)I8G`uYF**jqK@Ra4MxihZp=n
z^ZA|-_zpMSD?6C?gHc%&EVcT#%@#fzlRqB;7nF2pT!H-!R0Bx<>h$1B{mUfIJx(73
z$En;@H-I%hI>jf!T|ds~>BHwzZeECkkH?L^lz|o4|Nc&ahlX35rQpEgc>6@y;hNWr
zJ@6TR4$4gUyqD#hU9fk=bKg`r;wxwEHdt##f-MJbd9(a_3v8y+8%wrNrYf#k^FjT~
zRu#^N#Vf;Jt-w^jVyyDu@Kr0UoxuDP-?gO@_(p-6<_yfwI`^Dx@2t{Q*$YeB=$|Ns
zUp^?V?}lGE>M$3P?PC=rpTj2qC8d*m+k7D$N2<y8rgPaOP9^Uu^br2IDkDqsb4xxl
zJP-?e<}0s|&uiE_nCcEMFgb@*!saq%xvsFB<hwSqy@Oupo?CG98_EkWV7qgd_S?fO
zXG^}2{M|Oa%)8BD$*}>u2Dq>A`@RcsvUboc*<P7GhF=%H(4Fr?@^y0-UJ=oTy+o*9
zy@Dkum9kV|y9vJ2ZLm`sW1%vf)Ya0{4Bw4?o*@n&5Bqwx6Fx)}n7<!36q3&EfVXE~
z6cT`C*wp2EVD&8`2X@1HfxoLiz&)u00?aUt!-Dnz?A4PdwiRYQp%vN(i!{09(!$I)
zPH=yPbruz#(7@EGDHn#|a1D<AtKK-?bn@>}Sj@3UY8e*x_$~e&rV}VBo`GLePrUdA
z@6ooc`~wI7l&1Iz$DG$VG!A=YiAK!8lJ1lWqp)nnYnCba-DLT}F8F|TX~sOfVbE6o
z1H6=xbafi$NL_hc3D@lKTv&w1C7za6z-kR`vJ3DthEVY$*va<sn>BcAtg>tY{Acfj
zkR`Zzye%gR-Vu9+i_Cv%<?t+tfS3Ia7L6mG{ZY|s2h1rK%1h4Ql*!AS3tpAFWKGK3
zprfax!wbKsUO$$5VP}S<sy2B0PSuyBd^vLH_m#qdd+Sb;@@?^JlY9dIQa=<y%6Cye
zu`m}t7o5*Wj(<YLv?3esr{uXr%J<J1(Ss@Qao31xQofUWe;iIC`)gB3lJcdgs4RN`
z8!z3gC*@n{>sT8Ji|qbPMaoy!K~*jYPNmU^BIO%(c;)DQIOTrnN0Pri;(lw52h5ww
zd6|@7g0|NycleZ>Zx$(Urhod%w_#JCV~sQ@AN9l%eS6qV+3hGj{Ku8?yf+-tKlF~|
zZ{Igmdf5{eYV!&s^OY*vzD$tM%c;>SB=e^%%=aw&!W>WkTJMI<Bu{vT!U+kUc}L-U
zeHrO~a93UPPbE0zj5{~^K84W&uIljSIeI}?Sd-1B<~W@F{#&X8yql*{o8({ra>FLq
z4i;FT4<+-<7IM}1T!U$(&T|>SREq7QS73*$siq|Vdc>!kY*Uz}TF%WJ=H$<RW&|JH
zeE0bUSnO|rq&_^i`=!nmxG0nQ$VvFZ7KM&Wuxwn7gd%K}Ryj%XvkyKmP&o|KQ~VXP
zgD*S@dM*Jom5bIo!FLVTUWvofH!at1!?$w=l!f49B`w^3upVut{%-h8@cIQG_+xl%
z>kgPF=7UHstp3((ek;7Er)VM%HsMNf<%HieYYCEk<8fu56Su*hZw`Hb3nw32<R|+}
zryD!Ihbbx)M7G22yR;-pesQhU(?xvnnebTsZ?I$WhZkJ19c$Ru?{H`TgsK3XvYn!q
z<o|xXIlz<`?*6g9M)H66ncwPVhy7C(xal!paxU)eI5W)pK;{B1T*dp$f&qThuQ$0F
zKKb_Z4LVpsSW}D%jxK2(UH8O%<o=YUgRsu6b6e(Nz0|<NB;WVPO<F;d@KK($F?HBN
z+97=mW~QurqzNnX-xK-+J4yBoUxk-ET-3+mb(_51SKtk!_Vq(>-J`6dx8b5}<M#vb
z7Ai;YTd=!|f$j&G;__MXAo$QmcFQ)nEtlKwKFpN2^-Ck1e|Ul`1<ulZx=;&qh+a)5
z^Lby2=T8>Ei#v7pXTXvh1LhvX$7C67)8HQ|K6V+frs<CrGGDmJ-o!Z#9{cb}AshaC
z<J@c<Ts&uDLgp(=>|djdhOhm{l1Sz=A3wk19s)}>ie4f4r4z#kGQHsdRX>4GFvpR;
zy}|JQqXAPCn6E9xWvJ%`)7nfIlKjs4V!B;{aHLW|D>F<#{b0lowzpjhCi$H6M}w{Y
zgE?;Jj2wl%hbUsn@$by-5>SS>jBH_cfmxY{pOXB`gFj+8onfI#<G*D7IF(-3gPZV}
zBAbscY;<aGq7AI3KtrtsuUe@^o`<<YDk91J^rJ`KJT!)_;zZ9W!V5I|-&Q;@-cXX%
zEDdL~ydGGCH^i1}Ny3uXdO9azg;3F&eX#XkwYO8Sp3#`QApCHfiF`MlcG+@@2WHb~
zl<bAYOxDG@VSnZ3!VdV=CXX~Wc(Qqab|>83%00{iE4oPRYKALzr5KQW*U@JpcC^6i
zg(?pi;O5$>=z7>W_Z1B(PxjxxLmOe9agKm>l)qEeAD^eN=|;ipB>#4yLY!j-tUKM4
z_ZyCBi<v5fy*`<7jlu16-^PmJ%D(obZ}8J?p9fQ5v2>Fy<a%a36X;HZMT~mFd*QD0
zT&>~o*R^Yuo$!6{3yqPm`#n$1I(TO=JBJ#4X}GiJ4eT~Bz@rLZdBr+F;%YWe8Fs<n
zE6!Rq!ylxanfc&<)$jH-!c8e>eKrz1(p9y<CmDAJQ^NuyMe^i$D$l6BX7Ay7kTBHT
z0Z0CQb$=SZ<aDTw#IK3RI(EQK&rh4YgGaxeb!&seMW_bJdVqQdC5IZ=<|fyTkMQP&
z)w@-2mFCRj_wcWg>Axj#apT6rq<(+8T(D9E3)U4^cf+?sqi2%g{KL;RKf|(vC;lbE
z1Lq@xNO}F`IClF1?9cdcJ6WG_!D7iR67~(eVKhwkUz=PAgwNfy9V7YD1COVz2f%yP
zm4wIP1?3nQ4_L%Pp?nIi@KN)2hd)L$E=<B+L-MPR@Wyc(zd3lCdxH8F-1SRNbpf84
zoC$P=MR(+zlKOtFz;w_Ou6$~ktO0LaIe*R+Zaq(>VFo+bwA-GAtA{i0o5EDA?<P*b
z&Q{*+mT<6>>a-3VqQ!sKf^09YW~~al(=Lx(hkO33xTOMD9*YyOf(5fHf6Kwc(l$@+
zU<*p&c^O!@o$jwKyv<d_UK}o7==Hh-i@lF_-VdMn;ZW}g%RY{q-2-pup!@6tcQ{*8
z^1~(jlX$#ge}60Y?J!Ncz~KmZPl9j=EBxqFnM)Y#JGh^g5%!Cdh)ISO<c8SjVC99H
z?nL-R@%Qj`cl6(?8>o_e;UTjeEmQE2$7|mn_}s%iYGbhKx-Ih%9DB`J_dDDX`Q_9g
z{Mz>Fn@_NhhVPdVc<bT#j(+$*nZJDB;PljNt@m)u?x?~a@bc9j{dcgCEydJ0JSq0Q
zwFwRgPjDmab574}`}hhzd-KlfFL<SO|JzcSF@i4mFWhf_uJZ}JPv_evk}q6^)v+lJ
zK4xR{a1oAjPHazs?~V#5ka+LQ&MJ49>tUww5_}<fsm>L?r8In<e4d4<^j>{<R!3)X
z0k%DR;lN4w^Gtj-$!9J&k`>AV8(FH0k@IW#;pEQ-i$7SJCgo%1nDMR84ev9vRhQqv
zWgl;R8i1R#-w8LunkKGtsqo(B#j+Oo_nT+v`^Ws3R>~!kU*6lgD*G0EMT^t_Eqq;Q
zvCtmw*%f=g0rpM#8-EfWluThG`(OPak**6rJF|B?IsO+Dk^lC=hnII{k$4r|)#$zO
zk?Bk0<oNDcXIIu-(O)p5b(<VNH01%+DtzaQ{?ZG0v#9g;X4rsUz`qH;uU`JE37**V
z;q@yxwW;{(3)t}>)!|xrrpMmA4i0TotILN)Q#i$};o#JH-BNh4*Iep4EbbfhJ{Nw@
zyOTo(_Vy4kD}mEoEO?~g)KkYV<-vN2;tVYC)^DA^NqiHt)3$A}ed2)<a(s(qUGD`K
zl>cIh0y%y=`-8wan0=4iy(e(Egg^Bp+*z^6Pz9SjYTon{c2=s>eg^O5ukjy-88^xG
zlJhl+TnYUGXZ~K_PR>W(W{R#CKCCU?L+We9?iJB?*#F5G$1p5iG?V>`cw_kiQlA1Q
zRm<z(-Y6@3lAqqb;D|&eTqN4EIu9QjG?%S_IoRD5Nj`qj)pJh^;SZyIZ&%>!dtIvX
z;WMH^o0egxTnDL4`2J(rJq%c{rn>v_u~c{iTSV4IxQZiLE{w!Oha@(`zH;Ttp|JZ{
zkOL!J-B(oY3oplhTw{SZEjHGB!+a<1DKWzai?s?a@I&c_7EV}<rBl@zUfBIIlohV&
zsV%zz7xgZ2a>3!T9X01+lki+FHh4s_H0Lm!KJYPz#K)W(i)3M~XW}B{cuQ4fSwir4
z8iR5^_*G*=z5uNBqCkcl4jL*=XN8Y!X>Qm93svDS^GH16HZ@tV=WJ8ChXJ<X3<(#3
zpQ_gHql4=fq&tOS#&gw=*6-r|;hBah$=^S=udZMfZl9S>BKiAOQ>ujLV5^^NdrAKO
z#+%Q@XJN<Da}zSKjBrEgGF;+)^|lf`uTxjO1p6O<eds8>TJuVo5}#-8*ZoohUX*&F
zz5%A$de~D7jxnuoCEv$+R-5q@{8psm!$x@acxj6P*`L1h+!lDbwdt%0d}Uv*854YR
z>=1`3yth7ggbg;zGZnXn-*>sqY=c$m-~YCOzn*k;+5z*(?tdHwr=&DI+zMxU?GYvG
zG1t7>!^rt7JMDWG3v-O6#E|nhPTnQ=0On823;6}R#PGi&`SI0y?neE9Yk$PhlH=75
zg#UX1KU4LMiiexc%qePN^9-twad5Z&Ww$bT?jEN`1nkH8;C2OE;b-{X9!_la+{puX
zj!|E@3rlS?-^B%oi20a1z(U;GoBuguJZ`VRFA|p>*vqyEv+JA@C;Oj@rFUzC_47un
zoZ*cb<K8W>sYt)uE!bJ_{cH(5e8!B<6}F=&{#OL6zAgxKf@{1}|0Kg#=SA2&;1+7P
zg+%zHLFZ|ASoVga!vpw3jpkRfzEtvu&fQ3u+UYmH5A0uj{BI!qZTqDHvVPS@bmwva
z+}WEeM*fc=ftqRh4$KzmaXf~^n~K&P;L1z9{-k`J3v%yXhjoj5w<W@|e0Myr!A&gV
z?~>pZOII3u_#V~C^JIOk-u`2ZH{q?~6+6lL+6N-)5l-+}9dC9a?4-sJcN<odTNZc%
zXUT6#_lM7AUMs1Dzx1@`_`=)T^$t9TFB!ByiH1$KHB>jk<2U^)qhRauBd)LEg*-n+
zQXb8T#T(n<^__CZ<H`Q?;;+g76?ku!d7BQqM`r5xz>FWize|PVgY(~!|076!`njK!
zzwD&o`C<6-QovVI{v0mFJ4axLQSU3y;M#kl*<`(OiKmcFIee&6OK=L-KE1=K3Emjf
zQZf%eyIJY}3clqtf8ZbN@-`=+8&)>iph1uI&KHDxAH0WSVv}jf{|Ee!qdSkM;(Ox&
zZb_0QOURlevL+JQOCn`S)+i$T8WIVSwWOqkEZGUEzCyBvL_|mtvLqr2p^*GO=lAFP
zb<VvrbMBclGtZfOo`RsaT>bFWt$cp+|Lm_Hz6*bZ+gtQLllA|VnTHC8$mh!}85H3Y
zW>c?7c~gGDak9R?q2~(LUcvrS3iqnPw=er>k^a_baDJOAoUjm9-w6LV@-0gf{<XH+
zTn|Ub%8Y5iOFaySD`9T491rq;^9uu4bja}v+WaUv3j1%p{fe}Q={XA}vc5jwHtM!w
z_)cp^fIcknc&k<p?7fkm))fB!I8-+ao_eFNWem^c-)Sbl$BXTpXU@S7-`e*iz-|nt
zX*MwJioZcDY$N<k)ETDW|7;QipYi<V<Oo|loa?*_Z)!Nc=mAHz8uo_3C!M3^+~JXO
z`;-1~`Ql*R1^Cd1Msw2N)Z&Z}dcpB4)B5(Xhd^c<SzrJ9l(xw^`03U`20u7h5O=w7
z-hfbIFkH5!?4voXEp?`stgoM)_r~x9Ot&Y)HXP==Enuz>GkxyOBJ1l@Uz2-(1n%mN
z)l7zmUkFa9!&iN4!V}?`sslC(uvX&&^8@(wuMo%m@VJR#TnenN{`kx;xG4V$FIf-&
zrS{Ufo$!S{TL#H`1H$hVKhVLvm#0qLg9CNuJLus@uS~n*;Y0MiO)D4ie~U?Ztr++X
zO?&NM_&&c+Bw6o&ukDE90=(_3@!wF`@M-M6C769AK{*8e)%2j`2h6W?=?Q6{BIlz8
zKVd@~S{YxMD%LsuGyEj;XD(^)e@_^bhGFx8j@{(<lvOwzPz+PNZb>EU8SKBl>Qh2o
z-g}1hhrwdr@w;$t@uzOmUlxiU58Z<k;!=%{!|pxxJrQu2Rd&l^c+TiVM-+VQEd6HE
zKXt~<bgsZB9&<0q!j0vQDq(PVar8bJc(;UmMF2dhnYoFqU$Dj5GVLlnlehgSS)YKO
z>kJnuKcgg`zl!rwd^v|E1it$Azi-PhTY2^sKe%OUW!DtE;_2*t88*t)VI%7eu(3MK
zc*AY!dQl_rQL~1L3-H>nFU>=6*W(%+H~7e%NtIss-7yYJ516auYS0JxwFUD>dst!q
z+AlIb-9Bdf&JoV-7Trhkr>wJD9<zoYJeMgT`C0CnK0Is#XP^Br*#P@~$fz}k1Ez-0
zko63PJib?0z^vxc>6P&Q+!5K6a9h~jt^dL2?+8m8!(&(G?v}vSt6O#+hLyso==0%R
zXMNry@KctuW4Un3{X_Ru;9up<b!qTftH4`o@HhGpN;1CpYkAPi!yLwUeMx?r0PCC$
z2jDOd!*X(cy-1M|EDh&cI7-C8zujK@$-qJ-KZ?nE2oLjf+;_k~y*BM6`EjNbIvsYB
z@@~7Y<a$T5IjNTpKAaVW03hOjIW?X1aB<xluLt}nEcnp8FZzpNXPz&-Y-f3N7LFJ5
z6(!ft-lu!jhTz*T50+knP3;(t48oo#*%rz5)_Cvly7#cUZTe=iKl#ry+uxD;itk&Z
z;Xuu@lYOwR+4usvUPaFLyLZAF@uH;#@XhDnf01%}0p86dAB~H!pXeLdPrX)$TpuDS
zJhETH0lMBj<ock%!(3PkE4FUsApMEMm{zzPUSw%}FbA`{<w!h(H~p|3A=i(m8&mU&
z;2<|9*Wd6ekHVveu(;>(AHQJ3WRdJ7cy@8-BI&;zA$1S$!LfWdDoForx2xE76XqEd
z)1X9u|8i7M;s*T7&#rL|<@RS(1uw%BDyw=lDF4gWwfhph>*>9l)bMMKH(BT5na8`i
z$@QpW>C{6HI4!i{6uDlhMV#E_0JC1SUD*y-vCb)+g&hxdJtymn6mDFqc7nB@{rW<#
zKNXf^A4z%j7tgGN@VV<>EuG;T$w3tcusThnlRX^PK<#G;({MJ-xWn<@+~s8a4Rc)E
zY6~wihyEtxue<^Ety6GUzAwWKxb<{)iV6J8qwn~2IL5z_QxEo%(EE5BzQp>Q?>NkL
zqJ%RJrjGrWr~&6{ZO<g*aj=k9`aziEP0(lp+`g{IeE`0=GU-aj+mG>g1mxjopR|g}
z_&n2|a$gGG&Bs<>2s`oc=ZnExMO>*K!ndx8>=cBpsK1Ce!y4z-mAK(|?b5DIFxzAL
zau&GqT;$SQm}gX>dJD`G+r7UHes)7sffk-Tz3U}eug0?4LzM<zFQ5x0`AjB4?v{MN
zfcGtr88Cc+drWJdO~QQt(Z-SWY*;rP_Vj|azi;Px1)FF2_<F*9YzGHwVFt0N2@^P&
zU(fzE9OF{{!wA+t|0tK#pX;r5JPz+K!{0Muv29cCIxvR=`}tP*(AU|?gK%^=clakb
zFG_7m1=hJ%e|P|<XOj;&0{;wY9-W8%>Tldohd0>=WRm<SE*7DzM`6vGz%pvA=X3XX
z9=|3$-KyYA16wpFW$D77z9~|W^?rsQ<`f)*bz)X($$CKbg9%b(f1g~Wcu(?^Wcg+&
z8o<xDHpg#=^<r+-n!%!9TKP!6k^Dn9Uy<Yesc4@n2FEx!cR0XbKf8;_z~yPSJ$7(W
z(!mLmUu3#i|CBp?YUtQ`C0JSUu(d0^!FuOj6*!P$&sQJVUTe<_k}u@P2>*A|-oJ0q
z2ONQwtTuTDz{`xgZW_bgi=P56!Ww#X`lj$}<9doKaQ`?*-x>1x%{d!`;3ls<TqGZe
zMQ}~X1=vkfA?qA`P9`nV8-Bh={|m|gk+iXb$_1t=H~xJdUWjvJBFFQm)j{49HcgI-
zJ_Bc5v3q$De&TiJrX@_haDmbn?)~JynY5p^nmv0s{PQsn2Wh{s!SlvfVQpQ7I4!ur
z&)DfUe9EgWMFXxlXjyOz9yv6{sRR#5$X1hl98~3=JLTc00&;7qaP^CuX;QEuEl(uL
z#}U6tFIxhBZqD;M3ubq7+b#r$UHWTK2!Ai%y-N^&w$68geEt(B_rF0O)SvtEDI0#U
zr<ZyFPNbOTCZA{Cxfs+9?|AJh^%S=BbGX(43sHKyKZbv$hts@<i+aTVl*5682k2kH
zr`;tK%HXbZW)W4edf@2GYS{AuT}&mM<ugi2*1w8~+)euw=94`7l;rCe(RSLI4}afp
z?)3#uQ#z9W7|!UW`8x%lI6qwc2xiOYu9}8_a#zWe!+)llH5cH|IVTjJ!58w@Uj2r*
z&eI%fg6C@<>y!K+jca$c8ey8EcUvg2-j~?}_qH~8!*zw7%<#wSAs?Gz)$`V0Sm0V_
zGs{kRz^!?StRJ>v#oXa7d`S0CnINoqR%*Hj?r!vSAnTEZ_PfxM?@N<^DniyPv(HnC
zc@N89and9CLF5@~u!ITjCo490xWLXC#)YK)XQ*D7k$fO6%MTy-!v~T-ehP#SwVi#-
zgx_l=BIz8-_wmv2Q5OTOTWb9^3jTIfX@C#5zaZjq3tlk@9pQoX@88-(@_n>vYuS_E
z|M;5O^CWmCJKBZ({_>Me{v>~g{Yl+fG1$V={KiB0;!xv?FkEx6L$`?3_lOAI1NR#y
zef$spl>Q=264v?0mPpo*`#By!w;xt|JhY=49&;&T+6Pzeuo|s_?>f1}E5nz3BwU-|
zn;Q2L6=CM0#}dtO&u=3>(%+NPgUiVJbv?qD1<81KEOpbxPWVZjLLM2vlx6d;4a2q#
z{!hsG6)bk(*eEQ(yl=lA{JD*;XA*wLs;5N8(?J>MkF%t{?H)Zcz8EndIr|4*Qa*H&
zj4$k$cW14^s&lp@;jrRa21y#M=V#*UIer!P`C>K82=99`8~6yelsCM@4r?hah8Dr4
zqWAu7hh6ixrVqh<0{5dt;JcR0*@N(^*T5T+--FJbQ|33UdH$QxKG^>)gZv^)n{@Gm
zJX|qhqrMT>n`D<LYc*KpwV~z)IO3-9j)Sm?!QU1JxSq<fP#eAxHqpKrKJw#$s}3yM
zc=IG1OdD!_#T+hMH#<$PZ?EkY4_d&}0_!83@Zl)ERvTDl_ux1?oG&XGa}MrZ4{_m#
zUo0NtaD}HVEIfJP&#v@|Wc|h+)S3R0@Gfd$!HY2G(1jpzxJ`03>k=G5_dHS=)=cD<
zBKbpf?IL3o$>*y#|GWzO`66Ek{H0mk|2q6nc#fT1|4a9AuExSD2c@<f!r$0b!V}>5
z^Yc3m;M=ltw8`*yCJ9M$KQljW6_){Ts-4<v1t(OVW6Oa(hXj;7VWC5JQj1{yEuYlL
z{me*9&UTWYq~<BZ(O@`b*QWxq{-vo+oo*oPJV5t@<R9sBjp$E+Y1EHgY=k9W%MRax
z2TgpIU&9oUXC`ytoY-eqJ7DUw8)vfMr(#`)Nj{QR<zz2%|Jbi(VovghcsC3L<iok2
zFL95;(O29lp1>OtpTDKWdY+8Ix}14%<-ah7jqt~*+S_SxaYt1GBP^t>eJ=&hPFXPB
z0-sua&qKDaxIblytRH&K$w)LEj@vs_PSy|ow(oN>`MyzyXTv0)hWxqgT2ij^YGbAr
zoNF(3nC#ETyGj!JuyJ^tb}oFZGVX@~{6&T1?IU=Lc=JUwc-s@dPI5e%96Jw?^-pWJ
z|1~D}%P}Gr4QFBB3G-9`!2triN67lA+*PM-8)0!8^LMVW8g-dNJsihc8|MzoJMEu-
z1E)tR<_5wvZ~7LR;Lo@69fIK{W;6c|SXOXiE&@&!%L;r8mm9VFT!X7iQX)RXjn7%u
zN&b!+?a^xk@V^Y2(7UjrL2vvI_~j>E29mEM+HqUrceu+>@8$#8WPWqTU-($~eJ+xZ
zV<B2IX9d1wx1+xRcGsyErN;BlGK;4jS%21Z|1U{OIJ;r%!!lS+$@m2~9C^`YUkz;9
z8CJUuww5sa+XQRHzB1N;ck5S2w8IQSKg<up8XF>+`(RtK8$LepmzK5UVK{WE(9a8A
zOnsa&0q6NyUAqIXr^!hCB=s3D#@>e6uh7db!99PrKPZJWsuHV7{)lZh(%DbpOWY>G
z>u_9F;_esl%F-Ae$p=AwHe2F3e4jV3m8{Qu+Km3mOZZwy(=aE@n#2CQ8h)R7E0YVR
z3%sP#1S^W~klX=lGx#5DgiW{3&IrO>$pf$2;B@6se=+z<;D?qsaQqKrC6eD^_e%x6
zZn*N<<p1+KRQ!=N?1ZmL)kn&qeE)pxhdwwa!IYKcYnTcQ{`3)EDr8GghYK83zkGv>
zCyE8MVQDYXiE-F4EN=8D>}nI~LgFC<R+4TfVCI)@9wc7ES-n1M1gj+q`~8D2M5=8(
z2M1ps3nuZH<$%4-cJQ`X)eY2$*NpD(G9>FKZ<yrRL<!sfYTioLPqupO5kulT%z7^A
zzObd0#w}VnsmuPXAM8Jnyp<W&kS+F&gsB<icp2cb{~jwu!+}oM9&Ck+o*OmXf;UYW
zWV6CjRHwsl!-{L!yLsRbc~s2FaA&8z1Q+aDv8C%iT%P>=@ecUYBg+Z0KC}(HbOj$N
ze{sH`2)<KuMOhdwXs)Sw0SoOL*ARpcboO7VhEuBdHH*Q!7I!DK!Sqtm9i)EwvaVS>
zTz#+S<Q|y!?BZw-{7AvyR1)r$+@3@7H&B{2_RGO-`<nL*!86Bghh*W3mZiC2cx*?p
ztuib`F&{_P%l_%-=}zKje;dV(NdAOdX65s$u;%Fd&lFg1TVGpqiPSgoV9TI_uMJ+i
zqzQ9K)QE3})pl$R(tsU9C}-$l23Iqx<8aDgu^$^;N<B!U1Irext#QCXH*J_me6Vz2
zHj*E{n=`^f;)67%YC0r;!p(8PgtPGcuKD*Qf5L5p)Fdl7!BO*`D9oWX$VcMk-#;wx
z*b7t9oZLa;k>evL#$@2lPvUai;q;%h9*XdAJyn4#yj*{7uQKc=q%KL~<+)K^M~=bT
zT<rTuyj|T)o=z8TJ7rKo;-3=CKjV$y_bR0?Nc?k8zL|*$@xB?gE3n%-%gAZC%tcot
z2p+V$l4S+&-4^jW0(Lf0k|OJ+&t(q3A@TR)!H;Gg;js<d^l!jB*<Aw2dh3B-+zhY7
zRCyokFTgc#n1-_9uNo=3Wc~JkC(ewLczbzTYS$I`ZRV?~|KJ8DhtpB8M*fx=5^tvx
zx-fbj{_XF*MB>r%4jOLpaLQWwavl78?MG=MO!G!7;uCyWyHV`{EU^?G-3uRl77>{P
zPYZ3~n1>&2v|}xXBbSeG&B8uWlszP0gVcgo>K~ZHf5eL9Te!-b`(O!9Xb2UofFs)8
z39Z9kdWRKW!+(E>im$>2cYmxj!^MGyCDfSj>D$v0{tj;O^?OPQ=Z;CxzlR5|H&wF2
zb0^pm`r#F-iE3tej3?XuJN#O0x9w?|ayTb!1y;z?b25jY%(-j*g*B|*f1HH{-*}#;
zNB)6p)mML!`ql;+$s}LFTA`hXF)UD!vWw(1uyuFwItlCEYPBKx8tzu>&gj7G0`)&Q
z;H|+1bK0<?<4-Y?4}orvteZN_uxI2M$(NA*Q^r#jmgr^p#SNQNa7@d=zg53(5`(1*
z=;!ysJJ}hIko*nyvp?NLVg6_H@AkmCy<a^=VB={{CMh`W%A092Kjzr5oG1s=I9C58
z^JB#pd>>@tTF*?Et#H57inS7KV0zn~v{&?;TE9H3{LIpxwC5rfyS*CR;Hl$8eviwl
zxu+E1<FtcjgK)s#!48r?qI}`IF_{mM-|?D~?B7(S(aTa;+&Vah?B9Wvqm55trkIiz
zNtj1QT>T+zL}hD4_AkqmPa_}Je)6(?FI+D%tauORW#$}HhYtl-sgwDoDh-b_DzIqP
z6@^gPLV{)TFuc3nS&5uaQpcTa55gv6QnDU!qyqJfHf-L?vEL28d)UHJ6Mj?iNzxK7
z-}htwINa$|Cw&Tbx8Ejx4E`@Jv*`cx3$ZzshA^#ecnO(b7}j3drw=oBAI&4<+ZmtW
zS`*mAR_q}e-$K{&{~Ez}+ZcrR!Qs}Tk(TgL%c<Qmuvv|#ofiBd)9rUFu17k8EkE_(
z3F{LpEwCh)qBGh4S82xi3iy1;wFR<$#>Sb2GB{^<{oWHWUss#wBe=AgvC0h2J6Gsk
z1Rv|vSSI^p+#UTh3l=H3cJ&N=$j)v)1D;`7TssB7j1`=^1*^`;M%lpai>uSIaQ%0t
zKnwVkpwECSJZGmyYYQ*Y=?*!=B`YN%R`4>zrjI249qivr?*PAO`P^p;m#%0>koqNA
zNu4B~tq|nI>;fmrxxXjz?y2v6*GPT8@!f5*u(Z$oRuA~5?rQs9_{RrPLpOLsTd$5N
ztaMLhzz0s0$=4NuLoK|yyy0Y)h!%c$;ACjlCHT=r!!}-6W8XC2MYueKsgcC1L-zj4
z3xYRR_coDuHooQSW#VsThsgb0W0c^%O!(AeAA{ex|D#dVe*XaOylv7p13MY1oymto
zeCRu-;jLSud$VEJ@Q$W_I84gVrU>>_4s9Xv=v{P^TzRmHqlii!JQPZOD;?e}?WIWW
zf4LQYzD$74F1^hm@nYTD#$#zP|4>B!UHH>ek)~vr-bdp>7;LMys89B9=cAR(P<Y4B
z>$ItGd-@#?65rjSrx!=|=SP?hmji5`KB-N%x2bP5Mi-uY_n<2mmUqJHAMghi|JS6v
zm3MQnC~UAr@C4c4XOcA`BJkO>t((a9CdN-JGQzbqPPYr-k<1N$=;6J~96Drs$7>Q?
z=JC85?^)1Y2%GNGcAtf<X)Ldk?S0Se9r*xH>VMh#2&Q`$HTE7hf6H%3+N<5i*18QA
zR1>s&0ms)rw`+!ZMSh4>!=9#tlkeb$!db;Om@8B8C#nDXM#I`$*o5P-cMsefcO-cX
zuC8MU=zx<R2%R2>(^bXSKf>yTIpaUzzQsyPvOkBWU0vs3xA6tK3Ha9Q`Nco*VcuYd
zudpg(1|>y5o;O6McxiFGY5X$RY2k2bx9ueU`{;v^9vyt;Pk0t-pSAGvkIZnX@rGQ|
zK5;Z9$*l0hE*`P1@LNL-A#QkA*j))$csfaKf(PDKR`{62qql_jc<zMzUI_fR4X%p+
zAiE20%#@Sg0V{Y`ebIr<=niU-=k<TKg#t%mH+|_^CfGZz`-lU4#wf0t#0xAh%+Wc)
zD`jcN$@9KfYE*78%<|vmlXUQXsk2`K;lG{dJ1F37*G65#;mVcL&VM-m#K7kTSK)n^
z9_lW^KFm+5Zo@AYg$>E?T_JmQ`4*g2$k$Hd-8?SKp^329Ka+Q)J=ZHe4#dM#BZ`OH
z;hI;U>XTvbVXq_P_pAR{v`*^xyE@f3z%lEGedFK@iPCkiU}NUU+$i|&(IxTw<n!s0
zd?D}-uV<pE@bTSd2hYR*aqkW%@zSxbJ8zJYsxH#kGm^x6PH7p|ka9X!(TfsrM*I~m
ze^~FQr$32jQQF(QyZ~41K7O7HZm)>aA?@*@KhB#I9&GoE41g`tf`2l>v8R%mNqfYe
zsGnni`MRTY$^Jz8Ja*dvm)^_yK=${o$gBqy+~jqeEfQ8Q{QP|x@w&BMq#l8Fl#ON=
zVUw|Zn>+COqK4}axOsEm+C$io>66z4ygOl~t_T+Co>=+`M-^_?DTSF&u`HANx?j!S
zmBZA%qLl0K8SaqLCinuQJIyLgzxp_*8UAnfVl*}O$M4%Ksdw<^3-Q+}VeMNhbDi)O
z#*{6a;a+Cp4I}W%w^wW%VYzP)u8qN7XS;Yvdwd)0O8EuvxH-9<4Gv=DvR;IvJbq-6
zc;fOa-!QfTT#r4b3Q4*5$yP0PI6ic04=+5@FR`cy|2`gbfED&V*}V4vEa!0R868YL
zG^n8sUy3>LoCZD<>2u`>tTbpMw}#`fdf`u}2U~>8$dluH+{AR`IGnj(;lFv<Uv^8!
zNtknp`PnQioFlJo0H3(QTRa5kZj<gbg;^MWJtFbcjlm6!Ch+>EWib+;y|2<9M!sLC
zbcg6i*f#vW;!(KRQ7W|>=Fxog<RBbfWpKY1?zh#OQG-Y1PjZs@a#Ed*odSGd*pvM^
zJlnHwx)=U$$cyG4%<|;(Fe%@B(~R~m>>JsiAPaleng#^GY4Ro8mEd38%7Ol{Lz|f;
zX`i+_rDabz^_j?5b@)GCzEyYFrMP1U**@J)zKiy7X-CpS(q8((tA6L;7%}yU!|?X;
z)ddUqdpM0JX|I+;AD7JGZjFaUIxySjUau3dZm+YPAuQtX*he4MS!VPi?e{JA$?Oq$
zw5er<w4dX2#Qb6SkB*BxX}>I=D0gMJ^n_sDX*j;?l&2y*sZjsd0@iq8IlUKd_45h0
zh4Z*1X7<2B4XpKN;kPzY&LXh7fNQrWOmnQkZ6`c;pN823zWb(Wk{gzKUX<tyyBo!P
z-v+ZL9`5mhefHgQV1}>GjGw*?x78RrF~MolfytL(?RAr{H1Lr+?wz6V&TAYK)Nra@
ziPaT&t2mGCsyFTrq_n?9!d_(`&n?3|^8G>)aBum*@GPu)z@zvET%(aNIs^0PP)uEi
zlXLE$8HXc>Z+gYUbTWq4WAM|G?Im%r>4ND%KWr=XP(BGZ4x#_t2M?Jj_}qiJvRO`b
z!u=a+{-(h>d+RMa;F4sW1F7&(Y4gV>_-{z-%WU}HA>Y16SS-NgUnZO{9B5nxx8CoH
zcnF_)CSqC%oBy$B$cHa4OLaeijSahxJ%(GOKD;l1wOK8q9>ErppAGWh^qjZMWw2It
zs9_Gg)_hX86h2yitvv-UyZf@|1^mHK;$1Qv%6o*hlGLx*cl<V-fi(0l;R{E*b#K96
z7-T-y!sc5BS|VYW;|W%;VTp{3t>N&lWX_aVaPaFZT7fVx+eM+b@LzMTqXDpS<C1kN
z{Bl_El^0y&dt$N+p7gG0@`Nv4@7UD|^H|g$a)eDU?t0V<&(9bgwujSxW=ws66ZTux
zorZsJ{pIx;-rhR%(gJ=n>sB%Vi+eAtoP;y<E9J*v=S>l6Ct%u}vOc5mcjmYk+OV}q
zz~4!DB$vDT2yFFcUf~=3c8l-<RaiYm?&VK7Ft<oi8Sc+4T>AmP_oyh7g>!_2nbu(c
zmKV?Wz(J?)>8!#^EzNQwup47X7u6u%*NM@T-v!SVsBWQzt)~tD<Auj2GPg6s57Q2n
zZG&se7%iFLgK{TinBnHbiev0>l2D^86MXt&mcUjxou|8m2BuVN&F6s|={25E!=^nl
zU%6m8TSLiJFU&7|Fm~Gk?=h;CT8967_o84syosUX;VkU>Wa+sS9LSwsJPlW+SIUUP
zz9Drv{V<Qi=pjYeBt9(vBW!1(9;`sh4<!h7zy}`b(W=8`XMgQ_3tMk2)KG<0&eLQz
z!V|YkTQy;;IIFCBcusH2ro*rSrPuaKcrW|bTgTutf-M3Su%Mh<+fn%0e1A#_%rEC=
zbOJ8kDxFpguU0hP(udtOHMn!&^7-0rrtnF}J3Lu%<R^AxWBBrN-o0daqaMScB`N1y
zN=$^`CRuY?z+ad)v)_U_v<x$B;K#DY9I^1nrR+g#I5XVob~rpe7-#1Q+Z8^EzY3Sk
zjb_-xb*G!Q1i*J$TSeXBpfGwCfB5t@ZhKc)^`5{DPk7tcwIAN_?;4v}cX+z)n3xwV
zAmg{$9u77Zd+HDOo+_t52cNs^J981XlX@Fz0r%J%_y)r}%;=)c;kUH+p9aFrG23ZQ
zz&n^d6~p14GP8~Pu<W+yzE@$9V;-SLVAoU8|E|GHzByM9!)Z<L6r<rHm#TFo_+fxl
zS30cjtwX&Z=ALq6N`rlUY=b4?$Yd|cD%dAt=ISok<x{RxC49(vGX)=9Gi*Kg687{I
zqU3?Ug~dzO!8xVsfvoUR&%esZ;Z$cZ;~dNck7|kezlGNwqgH9)1&Kb29{6fX;$Ld`
z?*Uo=PWbmg_rm;n#2a>hqUeKPPK+$h!bf-S^C$IV*LY`!;Ogz&6oYW;(C(juaQdkm
zbEKSgC}rpc+`r7{Ps(o}&L4gb7w-$2Bi|<>HPV|88w_srAAwh#r}}c?GSU6dhTtPK
zv?ghAC_|<41gx*YXqp0>RZsYRg_l&sy5nIXo3Y3RxMV`2=O+B>2xH?s{CeB56Or(n
zO%cad;D9hK!*F==L~-OFc!u4+{W84oS$qQRXT&RcjNkde@-k&zH1OJ}&v8#Uq<iNn
zM)<;I2VHlV?b+c3dblDxvc(Qgx>d}_247aY_{J8l{?KO50&_LrJ7NKcO-qk#gJsTz
zX_>?7_w@KUVNu<j1_Su`L~%AhoG=yJs0Z)9Kf%ibd((DSslW>hs@a0@$;%bhN-)>I
zQ^NwV{Nug@vatN^Vu#)EMd2F7z3?*C*pLvstB*of0G@jw<sbnM34f90hjs3S@`%8b
z2an`$fGe5mGo@e^6_Elen9flto|HFg=O+z&qJKuYa_@m#Uq>Z>h7}Xr+eP8ODichv
z;FQ}7#(Uv(=cX+Uu%R;hZBoC#^Xv6WSpEEdE_wLZ`pcLKSbwK)oGiSbi!wY94zRho
zO$q+U-yfa>8*J*hMe1*3<PN$6x1Jd0RD-pq=7Mg+EJo`mRp6EgmepujvX{R9FzjtN
zz8VQ@sfluGz{)lo{et1m|D@A&V4Fj|eu3~Nac2%KxIALpc~@9*!6{V__EY_K-We9E
z4DUM*Q$=i=ISbR(T(LHSHPw1%tl$sdl2Z&}wuwb&Q`k!+Zs#euKcm*g7~Wl8U}Xl+
z7Yt7vhp$NAAGd;!*ynxIfp_kDDtHEd(B6FR5PYC7t-uZrjft^CatiehnbNPeuz>NS
z5qY>^M~bTp9JkeDR1W?u`)bSq4w`-XNeH%+%yIF6Ga}FT3&IVu?O#a!vkK3;SzsE4
zTxV~1U*7rmTj0xE#`)dhCe;txOCA{iW}fC;fE_I2jxNCUn<cwkVaC6*Wi4>gxo>7Z
z@Kdj!Wv^iub|pr#Jy|L}@kg+$&i8m<IA3^^L=h~xu#<soujl3wq5H7zzP8(!;Egf=
zgp!E6Hqc*$2U?W*qTp1%oVXykGj*OX0#;9{dwUsPA7M!jgbM{Njl$rJ^2X!<ST#7V
z?Ft-qjXK^Lo@d^5G76rRFO7GETQ(+Wgusp^d%}*uiidgLkn*PCp|Hd7J-UlQSK)GD
z#bq(LN^ow&b@&&}<nnGf{_ctA;V@0XLH8|i%(XhT8}RP^KiwJO<lY|w!LTYtyMBv1
z{y%;;F_|1sQ9YM_D?B^4%u3peQtFsiCHzXhAcnN(cF(vYRd7z!P_r}qB`v@HKUm%O
z)*<qH|F?hY<uf?(dTY>GIEITtwHUrZyT^<4HyZ(8<tOkmv)3a7SZ^e{A|GBz?8!I?
zb9|pED}p@|1U{4VMc^8RY&M+lGSavMjxkKyL&}4y6e-F0@pflkVHTVqIdzGQPltZg
zKg@wU4r!Njzy)3%!l`hd-m>%-cr0#wS32yz+tQ7UhnHLDG7^Y8m?p@08K}M?BN1Lo
zAF`r?g>pHQBH;v<dwpd5-FROpF&a+WEL%Md%W|6gX~JT>HX3C7&g(Sv*MKia^#zmh
z`+<<zq9Q!pL%orFzJ6G5NdZ>R^FKt!@A`NnFKJk0SA!lcwzpqN!AAmq@H+Q3HN5+t
zrYjGe+gz_p#%o72SvM|Nw?+0E9qc8pILQnvZ#>3K#%s?Rp(!Sq#<lV|Io``VB<wfB
zqhoDdq&?)v*&H^&oh6D}*x|$eJYQDb@V;Z15f2$}xnxGhe#61x)uv>;W?P-K{t4%d
zG!BySQugQTvp--PW~&Tw_^3h6*F{*))BpKVI6IhOl9Z2J?OG(`lc6t{-B+09dN~(4
zKfS*`aO#7j<IfM0^X<=6?2i$6RL^FT^w*o)=4J-rIvt_nNLb|WfY&&j?#Cy46YdC#
z^d5unDvT}Nf;~9Aeow<xltY&j;k6mgKU460>ctHyunF_jIypX7>5JF0;Cjbv6e}=S
zFfVH!EVt2o6Fu5PqhBEL5$yZ<*Cskxhh^E~F|3f=7sCQq?B6)kL|l3+meeou5)yj_
zr??kyriNVt1RuA-7nT(0Dd8WyYSVAvS!R>SKiJ-!xNy)2EG07*H4k5SuUI(*e>S70
zA^Y1j&C@gkiyU92A;(+PDo*tSUd!hRCGDZm!V$FqKd8JN+7D|??4y{2FV=KldINjU
zaYp=s74o$Mn&DJw;rb<bpT5)YTKI|Y2JL_F2BrSr)v&qocI1x7`cU1xvqi9Y{-P$;
z5Z?E@7c=`1exyYeN&(A66}x7_o*%ktH^GW}+-?ux$?WA9q<;C(<&g;3mZk3CW|+e0
z+ejEZKeD=)8qUmi?6QIPt^HR{%2iUkyR6|8R)6zIdC6D(237c$Xs#qZoMuzmpbQtk
z<WM5V8+|~SrQH?rH}iyN(=f;9$IS0wrElEM6Y#}@zr)I4Ex*h$(w+jh0>UcbOT2Wa
z2jI@o+{=0J%?o!wzK63;?7Cb4i@(`q&<Tsx9rsCuk4`7OX@U1_Y4T2nZy8z!H^LPv
zs}on?7}v$+DtLXr`$Q=GF0tcLIjm8gV&Mck&P(j8g$FeyEFIwVncAWka7~_$kqOLd
z!Y<PQU)a=ZWCZJMIOF~jK5}N_-7(lc|Ix2zSnTEb&ZDqT)#9Gl@Q81S?m<{J_29F1
zc&UGro*H~l@Tf&SOxNh~lo~FGV*5}D8;6fRp@DZDbYOiB-@7&=x#og+=Rw&UPhiDN
zOUZS3qvcLday~o^&0%~24~(lUK7@_9Rhgc{B?SyAY4D8@7q3A0;kiwm_uxF{x95Z5
ze&(_jay|N$`1ynq%rp8Rn4FJw6;}-pz|X_Dt72i@qOf*pSn1bmogBF8p4B@s_)pq_
zNV5Hg1e@c6@V+Pc$)r6P6AJXW;rH@eK9cqf@-2D80`v8Mu^{bnEI^@k3*7QrJCU4!
zS6`@V(ZWZ~nV-$WW+9?FtIoKe39a!X{ii~Ozn%L3<^9)L(ZAj*)OC<@wu=JI%<%5_
z?Z<w>;`HgA+u`V_YsY`W%hp4T{BV|ea`QOM!k=_|7aVo`SMwNLA-0WP5EfTpd)W=o
zEVbMeg@dS_Uv|Q6#hcnh;0^qjR9fIu<<AWE!0*4mRe24|MeJ=6hmSeW$d$p%X&-cD
z;aFz%{iU#<tzi?Xf7r%aDhm$1{!>RD{ySVEl>rxOx-^jb-)P<m-+~zeDYTVfp3{6H
zvG9b%<vLPd-dJUOApFRiPE!s38Wy!Z0Io5=`Dh;;YdK1*4fBhzi%G%<MQ_vUz#YGr
zK9l`_XId5@4cAqMof3fUJFEg^;4P*f5=i^x@H+n%g_HlYW95XGrkH+<!>X)Rdh9U&
zG^h7YV&?(PjqrCHBQFuyIVHJ<j2}A-&pLC!!>^<iSMht*1paZ_1|O*I?IP!Ql^JJE
zr4!<Z$vaGc!f|EMH5G989gpyFc-1RfEEb;slS@a&&vLQ9Vlgn^7lEu#u;i|RASqbU
zmtlK19Ij#=Bn>ZIe)j$?tfO~qo&(-YQ(!>GcMjH;xoxm`6qN?)e=(=BMwT3L{~$wI
zOV0Og3tS_Ah+nHHl)@=_RDBb0+ku0nMewD1@7_sx=jKnjq`ymOD>uJ}@1%VbB<ItN
zLhkDpSZw~T6}dj`I-Q{L65b&l_Jy1eJclF?*TR7}l|PX3ch{$7Q{h8bc~51-*B3(f
z-G>dkC7ILVZZ?Db5cvK>syn&xeX+0k!LT@+9V7X^{`>V0+~N4uy>aCH{(a3j!xcVY
zJ^D5uUUfLkcMjHwe0YLf@1C2#=d*#$p3t?D<B70*%6<Y)oNUn}$D1Rp&Y=$%Ue^dJ
zgtas$LWE$S{qZYgdl`DhA;R!u-%UObV4Y7A{_L>rH_KUaeO9%*>&FSFv++ri@q|7*
zc!3H2%<o-5uJ1Y#Uw$#e9ibL|5pY7Ti`BRT?q>#Tjf3H<(XY>ZgLlR5V<7kA@^Kft
z+Tq&+52C!_{Q_@0-@)ZC{a$&(bY+iqo8cD);|HB!yA(>@H}Dtzh9C#{%=nk)mvCsO
z%&HZ<LrA*00WMJ3s&EEY7i2m70(R&?##;D|<G?{uU)WH8N)sOTsI0DlS=5uP_P{UR
zSih)&9Y5bnk%ap`Dan_?mp}j8CJc{vIqxU+6Q!4Lllv?CuY6K@aLsR*Ej+NHm6l`y
z{A%7SniHP*u_TlT|GhFr!wgqWatkHH0@1$?F~O2zbLnv~{}b2Rjc`C9b9y|?q*MIg
zI_@u}uAhxP50}R8l_vL_=briB@P;3joP9{{S2wruh1<Yq>!yT%z$$*yVdvoYS=7uV
ze!*FiXCnX`h@Oofhd)2MZ_5vl?TLCf2Ah~V4Y9)=3&SVL{qR%sQ^Ra<>e-EPQ}Bhe
zyDjPA6}wYg$^EdCJ;!M}nD#)>iCNg|?N~1b+<*D)``_^T`;NYU_ISUg>?g|-eDZ#p
z@e+Ji^y)Sm9N+5!XVZCj^!@{5YIyjgV)rC`*g?dS75?J4{QfJvflWP$wAZWrHwJ^S
z%=ZOB5%|2D-pP-!LKcnnF8D#-j*fQt%sr(q67U)KxsEpYMR>?ZQvQKSrS>75qG@Kt
z4{w@xswskNK6}RT!W#z_6|-SEg`-U5e)<Qe?SWjlBF_F88@#t%=2<HICQQAV+`l&;
zH7QMp3({<8HpBX<Lelr(M?%}y$@2ks`WdPF@UZwH<z?8jQ|#ewIHKma9BI$3gD3M7
z;7$LDdVhn}XZVC-VRyqJR}zn^q~0$`>MQT#diW83{c9~X8m4@|Ap8#QbEQtb4s-a*
zo@<9yS>9~B3MZB@k2Jw7qi;CF;YM$|*h=_SitweQaPT@iOFcZ6As(Owe|7!aOyYS$
zoZd5%q<+UjeKA~dz<PQw%)0#;MG>jbFW@K&7eAF-xB;6=w%C&LHtpoSF>uF`@S)vs
zgMW-TiANU892}H@WBzFE@P+T|3%6~Cc^!|Xk@zU}zSTDj@B_AjPCIy>?z-Hl9iERG
z?i#tldkiY~55xRXn;A*GHPh--K@*(DKYh~!=0CZqun|6D?)a9}4^F5Su7ZE>(KNUK
z---DqQVADqP;NaBpRhQ&y#Q{WVb=49%|$N@<iW$wXj@4A4=v-I39!zt14qdI?LAS&
zkx1&tDZg}vrQCNiMZ$H?c`r!3IKQNp{yO~q!`@|cSYgyNG8AUl+3T_o&i0WGiGf#l
zzs;8+-Z=R8Dtx|3Dr+Yk?54g#zOU(G*D#64w|t(u5KPMH_Vu&EHU=u*q<%I14U;Xf
zZ@>*_FZgHY%Whh@L3fXn51dWCro4ptg>b$UmF+NRP<}0$f6z>)QsaZ!4U5W1`O#n3
zBv;R2J)dig`^fx7EAI}8HMmzvUYyKtj8vp?_rpKpv+{@G9WNxg2H|I;yf*!C>b(sy
z4e**|+)y|CPV2_CSMZQ7#m6?7NB6g17Cc%JY((aJ_I~iYm;?KANix;JPbm*hU567c
zmR_%bhZL&5-GF&2j;|NP{ai}zr{JF0ua|S-iQwWkOPJIB-Tn;NTkf2i2HY-xzLd<b
z)g67Oq6xdzd%NF(kC<I~EDqy&a5@J5%02!_5^lAVaEyli#i??6;osl-zJ|a-=WVk2
zVFs_IvqA9w^-K2|;qn*xL%wifb5GJ1_&`(@-vwAM+M1mf{^R0#-whTjEMudCReneH
zxxjt`>NhE1_6w?}=iu?=xEoZk!~IL$*6_SvM%bJ!-e(!wcfuSV_5Bh03+BuZd}|C#
zbS?Xj!s}0!kCFN5tdr_~WAFpXS{gDxy?>%@>J98I9&z;`e29~AvJD=aj;$o~%}M!p
z3^U<lEEUS?uvLbc(F2(8p!IJuA8#S>sVM@s(+l!H1mAd-(i{dS%>G<dg*&&W)_TK2
zY#aT^{BlIf>6ho>v6iPYWP7R-gR*Au^`7cdGJo%6oFZoeTVIyhs|mZ>-IvgWy;J4>
zBlFLE_GVHVFx%E$MWp<Uz7g*ZSbv^NN*BJ|$;`hU&VFfTN9M14{KF#`Z16rqo%a`I
zn6;xZd<kYw-C#}T$K|YFT>c8*J1g{=%(v?wSiCd=YnyuUO2gT!?n|HHPtW3$cf-+=
z*$cyPiPLzmFkG9>>)8wI+0dD8htKcPb^ipby|=#02Vb*joa}_>?8DhOV0yLLiEfz6
zT<sPs+;gq}b3Od|i6av|d~}|2un}I|+j^W1{>$QPRs~NBExn<HwYu(^)WH0*O<Mo(
z{)912pl&g&F}?U|2~InjbgTq+e4C~`4Hv#skiHDFFj&@*_b)u7cgS3V<;AM}XW-PE
zZrRrG=9BKL<b8~+1*6<E@cxHi4lKZR(G5FHU^(`<7pt(<T;5J2Sift-$}-ILl_UKa
zd^xx{fb8E%{XY+m!cm#qE7wt8km1045I*^Is6hhd9|zBg$iXvK>Qv(Jrt;oQ3HV?6
z$Ez}M3VlYl7+l=Czn-+eg9f{RAiQMPqCxuO!{kpp1Ynlv@qeVg!0P@x8{rj3_ba47
zzW=v!cLVGg^~;~UAE98;e0B6J;t6f8tE60M_<Hy-%v|<wft0@zH}<Z9C7(O_D#7eB
z+b&eW_ZQkrN&na>b8YrNSXfbRKk2XXN;>mTVD&Bko~pnSp;D6%;5#ms`$&Hru$i7p
zgOAYEd1=6}3eMOk!0g#v3*>zX^&4D{cVMdQ02y-rRm#MCxelKQfA^mOOwD!pYcw4A
zU3#9Juk?K7)*-OLmJn|fc-KZ(n_#%Uf9Q!3`Ml%MpfAjONL<zuE-;E4@_|42M4dkc
zzhS4baD}V*I_A&9u^UP)o#96#ksfDA{kQi|n!`yMO|y3J_B-0frsVT7f_un#!<JI@
zP7gMhvwTd(BRf0$uH*36YRPXlaAi}Tk|4}#Y~th$n~$GR5rBPHO7k3Hp036UPFOSA
zOfnW$KQ>y&2wP6%yO8m8^_!V84IEtca+<vVP}1~6g&JlJVHUp)FV&xWzG993k|<O}
z#^>~`rOH1rRpa?7^8SPCKezp}a4LU@OFF!H^soF3tnj$4AQiT`@AKbR_>S&Ju^f0U
zgyPv3__^i|r!4qWlAm-xJg`e-ioE~ebCpu24;H`h+&&K;S)SY748L(LpCIo$oO$6V
z)&&0%xtm!4|MDJADT0USqjo-l<wxz(9>Vf#6};s8%ugSRiGuYqQ&UN~mhS5t5wQ7&
z{sdA!`7Ax)9Ngplg!3tUMMNmj2Bvq<?J9y3xWayF!-rp<KS|!F_#;m{cLct6pW_{Q
zA7hv7+=LulvGJ1ux&B=g^_rB0eY3=Gmcb@E6X(R?niEr7YT#xKJ9|-B&R9{e3g&G1
zG$H`+%`MVzg}tZR#&}`fvcqlUeGBux=l%5Xs^sGF4p?+RYLE`Dv{S$S79R4=F{6az
z1*YkH;GWBzr`D}-eW;bwA=mTu3$Z;*uu%2Dn@=!b@Y;t3IHX>Pt`DyL;A1!qzo32{
zP3{lqz6_t7g6G_fHx9zDdpmUcV7J#lBgp#|0@VkOe}q>AgQ!Q~@zC8GO>pxa<}h-<
zVXSuRa3lQRNE*dgct=l=(tq%%i)hF+oZ~d6`~==r?@>DiH+;0H$cJ-pE~?GLp&m8Q
zbK&>L6@zBsEz0}l(%{0=FaG_8=|A4xp8}W3YXmI7x5~mLufzBM$X=$#{gXtivUDV=
zKjmFX3Df-dtS|^3y~0>61-EI1{pSV8-5d^*h7)WyDj?;#`dV!C6+Jkb^}Dh+eCLz%
zAp=<0*6AfFcQ<=qPu@Q`B9&P04|9+Hq%eU~o^q?6hjp`zLQcc{AxG3aVDUTdwd8(s
z+_t6C9(EGE_c97TxGDVQDY$g+t*d0dzFcHY(-yAn{t=cB2j39Wv49_KUp(><4j4^q
zC*|=MzG{=_g|{9q?@i$e(bfnu|NUdzUwwU;_5eFAng32-8#mB}`;C?l_rnKh{Mrt~
zC-PKZjl#Y^tll1iIn-$mlIO?m8ljDQVY9+RFUj-cGPUEYJ+Os5oyr$DK=fJ_KkWBH
zwVFKN{Hk}W=7rg0cC3=;n~6XF6t==HU5^6D^Xz+zyGl&3ZhwyoC7z$^aw+RL;DFQ7
zs@q{nM&$-lZj)I<u>)4Sk*&oEFBIBQs==?K(sZ`KA0!GI)ZuR`)E%T;MxskY8y2@L
z?_h`h51ea0276Ql_6oxxt8v;V;jI=DeM0bqT<Nza@H3g8BXY2TxUDXU7d$mj9F>I~
zeVDq=!bL@<-%0y4ywEfx@rOUAtKUic%xA8BaD_F5%NI_<OGO7vec&Er<HZy38JU0m
z7h#8V#(y^O=5<v|68}&*nfuQgu6doy9|AATQe1U{Z%It1k$9}wzdKhQVE(7ZXRpDW
z1~astFl$NDNF4lMS>PsjIAm^fc0Al$)f3|jAB?_}oe7_InYcmv?}s_wQ4+toza@^&
z8D5`C8ZCj}3EtgI`Ws^$pTHyd<BD3uX*f30<iRsIVtaK2>0kfkEP0;7d>m{+I`DqY
z8}~^(x}7aHNE<%??KVdltn=y11$o$$xhkO=rg&oMOWN}=o9cTKKMyRYotJ?9gKUf%
zV8+{l^J1{k<Y?SWnCJIycR{$}9u+Hz--q<vcNc&kI)~`Lh6R$erpWJWW|`8_4%-Hl
zPm$kO{~i}3iT~YBwY6u2hk{IRe1U)Vr#aBVgY{qZzrvh~v)@U7vAjZWK;p^QGmEF`
z;aNwyp5O3f&ap+(Uz62!jo0D)#mq%+_<Q99Cne&WT%NQ3J7GsL%0x1MqQ<3hX$O4m
z?1NKeKBPhG=08#L`N8+6xZrC6BI~>0k<|b`9=JQ|{8cG<<;t&Ab@%~uUKr_rM`?<z
z55Y~Br#DH$<`z@KX7Km13v?o|s@ZOSQ@H$(OgK5eW@+`)++dFIl<;lvt7z`C9`NzG
z0Xnijh2Kt&WWfPVTASJ6Od<K~9QgcrNGuQhxl}E?6h3BuIhM5N%ttYYGPvekDJyAj
z9viudHuwwG4OVje_fGG0dk6F1U*Z;r+4t;m8-k~Qyy7PNXFVt-Jp!|x{*y+=1BN?t
zkH5iU7yHu4@tCe3@ScKslQ-|&4_8X-{h}B~{O`&gL239*@#!)u*s`cTR{<V(J-2@|
zeC@;STvA`cJGP1uUgw{Fqy_UWBq_7QD{W<uG~wB!GvVBDXw7~lEBIm=<wilco_kf1
z^yjyN+A+J}OsC@-<a{an?i;fYHZf~DM9zm7U77m(;k3-@CUU;eW_Rjq!g3kLO{BiN
z7Y&;hoZsTFa}hq>XUS#<-^}1X>H+K6@EX{{hdP!U$@!!tDE`hF&e2b5JO{IHon&x=
zxd!~yE#dbZzhXS$H`eUxWPDFMU((_ZQygD>LB<Qo^3tQe@P?k)7y9teOCAwE@EX5|
zJUM<NYR`?AVWT1%d2;;B(xMudV0z>6r^>Lu>~@W4STT?8DQQoU^zPtDSR?GaBx!E}
zs_Nhb__Z>nBsm}76}eX3fp_YS<&*xM`O!i-1>SSSIiK_=yYF=V$*^{rt`HZ@XTI<!
z1Fm`cZYSwKe|jFsJ%AHJO4FI(q=<-TdGLkMed!Evoa^5C9GKzpHl7WzfHkXEF>Lbe
zE;kkI5oiCs02Vbp!#Z~c*Vj}vmnU$*{yvtU@Y~n%W2FAJ{0zF!u*;8g=bpiyXSwMH
zV0t;GjQ`-9)&Ih}VL9)d2len)$MLHju<**!K`c&N7y74ly$OCXX*Tc~F8|=URs&mE
z&Tkupi;kH4m%$JIJxUydx3@g^D}`@=I?^)=zq^;YPzaCI{xh0_+xaOL3SbeMyK&#(
z1IH&lGT<mlZI)U1<wp&VbXa&`Kz9cIW-IwU0Z!Gr{&o?jUI?4I11DMWZ(e}MKfBw<
zz+z0z(W`L0cZ1zEIP#`>(=xoLx_Bf6mJj)-NjZZ1Uz7FWV0dhDd+i#^6{O$yy2I-W
zRjM>7FU{K7>k6M7I37R^_scRFor9CbzOHPBmkLjvw1KSyyyfZOu4K&)bNB-TZ8<X>
z%Xzci6!zLGD9uR9mF$|1z!z$ZOSZ!8w~JmKhV4?#?6$y4?XCyJVMm3&F%Fok=c$4y
z9Q!INnFZcyd%kE3{M6td7Z*IiRaVFd=ksbYu)>{17WcoO#{cKsA6+Nqtdr@<lkiiA
zgUy^U_evDU2>j=7mezKdMd=Ou5PaRZxsC@8%}QZxhsOmj*NVY1bes%t;7=x-|L%sB
z_ftl_guTno1W3bH;RhmX;ms!B%cWoz79r|#cqzO`P7~gfTtV>!wo*Rjr2#kZ$+?^l
zSN+YH(}C;8I|6dyKHgnYN8yeARlif=G6Bb81Nc?K*wTGC_Tl8D9$Y%v=@k#p&WSjg
zz=t0$osWZQB8vD=z~ZNBzFve6)eNPY!R>EG#xB4LR8A*P!kuk-W|r`jrrP^suwj3Q
z`5Aa`&PiQucvRN(gf9Gp>0+Bcob)cp;28Yb;kxE=IOxwwZAF-7I=7L0Uy+BumIB;)
zOq$XVt`|Pnum>(?)4E~~zsZcKmxOf&+pA3Bkc#uFyI{w&bCve+?a3nL9dN#j&+l_^
zgltm9Hdt#a=~pQ1x$|o&Gdw=ZA{_#cAAc{s2`&-cS`r1<-1)p`BYZIC+V=>!lefKa
z%@Xqu98u1(aFSEc!&TVq%ir7>*udbG@Gtn$lf_+kV5ZELU30MPH%FV>u-(M-jBl{X
ziseWW%%%F`!8m-m{ottt_%BmRVh?;~RkAM?Hd4QTuN&Twl+K<454B!rYlUm+BJX6u
zGE`BlEwC5M?{^vS>1n^%I(TzapMC*cBI0$U27W8A9g_$9dD_yI!P?To^d)fTWAja=
z@D7G}tzuZ#>{wVKd_~)}sT97Gs(Q5m&gp&{K<c~cu>HOXQ&5Ghl))nEG)p(&KP_yZ
z^WjG`S9^}azxZBTK8AnP`MuYIL-M6q3*l}K4Q(m-+subsPhp3o{aO+*tyD7|`To0N
ztZF=P(@n=H^8H^Usa3gPdfVYfvOib7=bkgelRO;t4RD{sn{o!&qIXTP4mOj{FIly~
z^?T#3=dWSf)LW01VJspc(+FSK=brlwPNAiG(h7eMFv=N+rJqlVHp2%;_onv1+5E2g
z9dPId4lL`2`3>=*vA1yHrw!X$VTvA0+a7ou)i_5B{NDKBKqq`|p@FFa*5D~W)dy!T
zWipn*;Wu~R`v|{ey&YW)8zd#M55aQW?oows%;crme%L1Q_?2Xsd&?NZ7x?id;owB#
z?<bFrz;y%ct2bd5<BHecV9mzq<s0yzPlEbaShu}(?lSynWxi$_es=4@>?Qb$>e<yP
zxLDzqs~6n7>AC+rY)E0_;tA82?<$*xJ2o0lIKXYM{Pz8UE4u~8?cj*dUp$xKG6fc!
z({S)}Hs`IQh?k^`o;HS68@zK_;odL2eaGQPKUOn$z=6Z@AGG12eVO(<;o8}>Qzu~N
zb7HnKa03O6nJ(<D8#N^d3)*p5pMfpS-#Mzlx^(qtEMcMUFbOr7RkmgH9PH}T{_qH_
zu-9|M27Xl#>8?#a&*W?80*A8{I@rU7G2g6g;qCx0aYs1e{?r#z-m|Qk8w4-^xI09S
zFWqyS^A$K`!(Cf<n0o%qw@7&QAGeJwymgAn^E$lB&EXsfZx=l^a~n=bN^lH-*J?O?
z6JRUJSkD;v$SUPr5&XRImrDd}=f)*j2-lXcOpwphY{?g`g!9Wjj`_oh4V88kF#YEt
z>+|r|n}5I5!hM&HT6w@X9x)2k!0#yx`|V-N8lALPuwYh2A8C&|?Ngr`;Ihb<#-zO_
zQf`~I!qIzn8J&U^Z$G%x0zdVVdPmy-h1mZ%y6<?dzCRA&$sQ%6VI?a`iR@6wjO>vW
zvR7qP5-Ma=WG6(ZWK+IMWT#MMB}8@^p%h8w_d35npO5$XT%UVB=bn4-8E-wToiO9B
zTkZOAa`621x3J+{R`X$4Sdx>z7p6G3;iV#+|Hei74XhI&D!~dzjp{sYf*&=#KFAKU
z91T2B4}W0n-Af6V4aF6`h8eu%MJV7cNAsqe;kYM99{jSz{eu6wOFL}JnU%8)-}&B=
zLyqrWo69>7AK&(ouLrIdrP(<Lmm4nHbiwuqHl>ckzbjV;`(cAD*OXECv>n5a5AY?*
zv+Vuw#O}@PpJ6wC9+qDC$QEvcN%-?Kq3AcTi#(g|54chFWz=i9%85JjJDj$ugSrmB
z{f#D!VjS}^8|^n%!{6-~>(&v^q3{fT0*C2OS8YZ-#eOlM1YV(-USWcHlm09}gjM{y
z&auPQWAZ=m!?SVk%2?r6KMn76IK(rhhz~Z>dFqt{+rEvP=7nFdyqvxTKbAi0A`F+N
z{`wpZ_fWXz2*EkEG>+Hc_r)rF`^o3^WKV^{N2g?MMB&a(_2B^6US{OPAvkUC-GTEk
ze_3au9DH%C(Cjp<YI2WNnZygbO*~<nL$P{?VamqwcMkAx+38m%@co9PZ8q?2`A$k>
zSY_N)(-hwK*m&I@z8)NQ)DYHNkx{UNZ*<?T)q-6doXXF`pC2?<s=_l#H~jr!gN`C4
z9av50zi%-x^}BLeb+|Ed>c3dnXG40`ahQtBtSl35U%2s98-Ad0>s%Jh_4llT5nQiW
zKK~TH)G9Bn3){N>dRz&Y4RckRz)#C|?0W}$4%9x@gR?fbxwOMnS|ef_aO(bm$zFK6
z^Z7nCSbljgUk}WlG5AOUZkfG7&pUzj!X;_(!f;vX@3*^P?+Bl5;;`xQ4h>oO;Aem4
zy|DU~rjA3f!v0;`$>%daIviJpmkS!%<zdaWaTYbW_hnLw3S2N7c1s6N&yY$!0$04G
zH#rV(_Mqk@^_MDFuO0wvd$}<x!ZeBr)#u?<r%p;y_}y=zL%}eQlNp5wJpOm3l$7rk
zty$d;m-L5-g}`aFDl1#zGapSJkn-i}j~1xl<Gp?S;c%6S$k&Z<A(QgSFj!pG#_hKS
z_BS$AyibMCZfdjt0f%avr=`OUcM~W7z_IlD$px@dt?$S$xKZ?%Wf8n6s^CaLj@Rq=
zp&afNyKldac(h=b{WCb{=K;4Zh`)+5{!|MG1tvIehI6JyTRPy{0XI4;*o`|_vky*U
zXrQ)$l}qnh4#V_UtJyEXRf}pLCSi-nO{^DTu?4ofpJ5T9)}*VjePcD}0_+mLE#WeJ
zE-3cXBAn3Mxh)dbs~jI#hc^b=u!O-+%xW_!Cb3>1cU#g;Sii=NhaSE*XBvMUw%vYg
zi~$yJ-Lx$M9=~{Rhyy+=cX<oBUK_)GTzE)%shREf;Ny9GlY+2q1lQIKIM8VFmnb}U
z^NRrKUmjo1JTD2)SFrNczzW=P8)V^=b$)v~;M<w+LJq)vs=A_`@brgQQYtX-JAQ-R
z=ucI~b02HL8y8fM3&PD(L(TfI){A*74VdM|q85oqu5_Lx_ur014Sqv-%9Z~cx&NP;
z)w-_@XKbYT;Ro9&g)iyBAO5Td$G~%<LFY7KZ|$+Gv2bp7?)ouU<NLv=ESRDw`RY;F
zi;L}M4m=@P&q&H|PjE;mhgXk1iar9rPEkoF&p&?}yS9_^$3Mm0eFaxjKfa>?ht+%C
zBhOFw{hLoJ!Hcxp1iN77fA>bDVavt&-950!kDosj;rVAV(#x=-dc%1V58Ue__Y3}>
z7c@ZXXRzdZrzD;SS$tldAm_K?6nlpR{Hb)7M+d$$`PAqT{F+HN-3V6r)}t>63(?ux
zo4_o>7rK>UPUBxT4lpO*{kMv+l%$A&6a4C+nxQ(J>SxRy3hOg^sVl(^QSqZ;Fs&|q
z3yH5>79381Bll7_s=#9xJ#v!ZjhdMn$6%Y&e>3mH%yQS2HDEJG)&C0M-MXLkT;ZmK
zuQDX=xOK(Q9S-#P5}pT#UVZ*C6z+(Qq|1hf{=WWn4PFub_%;V_J!$I@1Bb<3&`*c0
zM%|rb;isp4GPB^O=lj2r=lS2w8~IY<GmEl6$n*Y%w1R@WFiXF~S~Z-$S!#bWd~(*~
zA9;V^Gy7{!zK=l)GZ!V^hmwS1-jna^(Y0X*1zeu+Ev*O^IT4>m4}V+^<@^s0pAAl-
zh0SH^-JioP`@{su``EW2tLb{!&69l>FPyC`wEh}Ca8p}M1>Tv|8uShh%i1G)1U6HD
zp3n#TEE>t%!>te9SwF#!gL`FcVLx4;yJN6&l!DS(c%!>8_YC}YdDEfOa7a_>=q$Xc
zDe=X5Sd}T{BmETmn?L2HB<^^ZBbyPn{3R<z-fz!)AK1wcKTmMl>kT(;=^7V+MG_~A
zF2X%lQlkf9gLt)E^8PzMGW<{q<~-f7HyHNrh!s+VxlVcr2f_m^%Ckyv-|Xl7FnBCs
z$xR*pB6Tx21TIL(J)j9E`O%8rfQ9m`i}m2jZMnixu(9)2KLc2gj<0~ck1H|1`ECve
zQ&#8Rf>XsOb~(dNoBbNQVZO-6nO^X=Fsiyvc=3szs5d+)HrG4`+r8q;_lJjfUuYbG
z-JE`&34l-eOly$w3>Bu<`Kz!+<C&wM;m<DF<)Lsz-AMBS{JryANfs;>{_YuxS2%t+
zmjmmSDJd?(zE3;c=HcW<iX9(e&DfTlIrzg`dLsFL0cLd>44*MxCHC}M8_X(D@_`P{
zJ!ZPG5oUbqWWELV5lZ-12PZEY#chTo?nzvF2G2E9ZP^BQUiG|C0iX6-)MkgV`tL^(
zu|b;JLAZ~jXW{`Yq*Kix1shICxE8}BGR{#7@bPjB$3j?c;fB5v>@HsMxf~w%l5JOm
zO)UDyAHx&l_K6xWON5k56&&z$Gn*bfMQ7|#2@8uH?$?J^z7$T?!}s6LnVZ8K8k@(+
z_|02&vk6Ps+UvsfJM#Gl^bV)sy{$JU+u`-;qau#5XwsN#AAIxUuUrrK!?Ev<z3{tX
z+0$OI=PS)GL$HWRjz=J@!EQOy4_{TBkqCybdlWg4-}hGY^L^=X&eT2Q0hm?E#W@w8
znK5`r+QW4f_Q@=GdAs_X4j7Bl3v%Gsii!Fk;N3TyA3cU`{m*Fjz;VM{^<TggzA{#{
z7!Na6?0MS+kLYojQ^P{0g_f`3{m}(B+u+Y$XZkzfiJ3?XcGz_O^}b#>PW9yYe%O5`
zq2MDdpd<Z>jK^Jj7-sYtZZK~DeiCM1x9gmT_lBg;Tf@A2KHpx1E2M_KonSMzm)m~9
z?Nzy64shsi{h?L(74Mft5BQ}20c(mcm``0VoO6Rqcxw46;TiV1Gd}R(qszNk;p_jo
zx{&e6Dyi+C+2ErO9?YDFh0^|W*bBFxuOB)KFH4`;yASSgTeG_euf6;BP!$e$_-^bA
zzX-_mQiJO)MEWklxl<FL-QYk`-g<9%!(vXc2V8dEP%Qw~kyU<>3&(y}-sKKw%(@Ie
zfREd4y=xDfi%8fM!EJv-Qfy&&9rNS@cte}{Rx;i>(aN>;3G8yFVT&nTYpJYP26Lw0
zj@E_$acy|}40hLCk30t7=MbQI3MX{;P^-d)+{0ltaL+Y)3T2o-a{Wa$e8HPJSQh^E
z=0C+IIDfDAMQOM+>NaIFJmQl2M+q*r(+_zIS6*CMQGgTXc(!!HZ-+Jhk-t9~G!XLv
z-szLEO8$P0^L6i0IQZs?sB<vAsOjPtxPt3Z7^%N6H#LIi;HxQLuZO`gjNAS$!Q1m>
z!$V-spshx$F#XUS=5*L6uR)(~8t?xhJTxir+vT=x46x%pg{XV*9Op%L4p`Kz_%bQ~
zTkrZHC%j*;b>joL)?Kz=1ir?;Z<Uk}zh-bx6gHhw4<zH|T`7O>9)b_ONcJJ+O;dL|
zDZ=kui+>iuab`YtmT>d(&M^{KyOkwu4Trov=u`}=2Zij4f~CbBHM3#XM8=YvaNWr(
z$DhF6K_B-g!k6POYL&rM7Mpd_;FCWenUMJb;o~zc+3?l1RQ*m^X+kOPJ{;D0zpEb>
zbm!Vq2(yaEzwLvkYJK~P;6D|q1|zWNQ6`fnSk^;ZWdPQBbcU-LR{EjWGzJ$59#4G>
z?{^TbCFM_T<Q3_J#cU;ClKG81If_Rg;H~-$b!2{H-r4Zq5d2hmi#9#xLyRvg1Wm#s
z10zRiVV;RHwa>86=Fw&{e|aw}LUkE#;X7AN<}XjpF<klq+ohkEr-Yf-yZtF=FkZ;>
zS8N@}|98u%i~_dpST9(H<!(uc)5E(D)I9tFCkpP*qK3H!8t;w6AvOIO>~Md$T=FOQ
zO{#GpD;#64$VTcTduMc)I9#r~_O~7G8{<tq2#fCgafQUUdsW_6f#1<7oG10Ye}{?f
zQ8?m>#OfgY_~+9>3%Gab&zD}fsl+D73O;&o(SywIEM$oAJHVq#SDnfHPWSenX-9Z1
z)pvRVK9Q2;>IpB#u8))Y&I^nl_J<{TqW#JIsOET{tvCFQkv5pjXPU9v3;V+H`9C+1
z`Pq?f&4&T7_C&xMSr711qh2}~US}|+AoFF@c}^1Pa3Gt~ESb;Lc9vMZ3lFpJK272*
z#T@<*;JJz<S290&qvcp>4$K=}G)d+=j~R&_D1hT-I7i5QY3N5AmpnM!^PmlxUpxFz
zajFzP#glGM=GS%}NHr^hm)^ZG+yd9Lc=wjW9d=T>WInBRBz<>2JfmB8h}55~qV0n+
zcn7D5G-<EAyD0Pu;Wagn!dkf0^Vypx@Qc@74`0ClT<57C!_zfi1pXu5R<hm!TQE9q
zBG;P%!+>l%y!1Kn`hB>DJ+z`1_GRb}BiGmZ`NH{bxLIS4A{BnvVBj?fzd3v4&uw@h
z!T&)&+{0vX@fP{~t{sA-@TtRjzR~cE-C^rbF#n;(MbiH;ALt*Lf)#zY%!a_qf`U5Z
zu-0R>Nz$LcV|>~&14p&q`g8`~<Yt^t;-+-V-N)gJoFDeg!ZXFn?K*I4ib>}rym$4w
z`azgMv0eWwe8sHih&X(8h`(+crk18Y#0#HIO+5S!j`G%(;(;Ft)tp~|L#dp~$o(|)
zMzZfe_+$0-gDtS)$*O`s@b(Bw0Xp~!N5mt>S*#Z?4%kiwt0%jj-2}Ty+om$X*VLuF
zxM79UFJnmg&__JdJK?goxhyPjw$8M~emH*nU+PWp$HakEF?dLSC~_-YE2`oz1M4_Z
zgtEcWlCsKjFrD5AH8(6_m05EHo~T-1=Ya3<rG~4(Y^FmY{P6F7N@{KRB-gLNUGU!k
zsw7=FQ>HXT0&br5VKaeCf?ft5fZdw?2TkGH^~`lyc<R*`3maHEvvgG&mbG8vvxSQ~
zqXG}Z&P$H>oZ;}6r1Oe!aNX@+9`GRs?sZeR_8`jzUznqSZ`Bxf^iHx3gbns-M+CzP
zY&^rEa7DAm)j&9cr}W=-IKMgiW(I8dN;N1RmOdC3o(^9uIIW%tXUrSZll#FHv3H8~
zaEs~7337jGw~F(tg~xJ#+sDGa-5K8Pu$_Lf=}mY_%PQ{;ys3YpD-<qdw|+PX>nvVx
zz6@_zcyM|MW`1g<9SJKIJ@lA^*M>hUlJ+Wg`j_N9EEZf;OOD48fAR58_)Lg*C7GYy
zC$i`0Dts(&wI&Ugpf0Z8Fo*RC`=33#16vO=T;B-a{VzZv8-A%7Psad9#Y;((`{VbI
zOYazA>(-x7AHmiAf%<H4_<DZXLwI5T`1Y;v)z9uyCGgfNuVij`(vM4wT)$@RA5QLs
znKliSlIy!?)^SJ(&i;Na{|WqFSmU$^tiiaUv<W`>_x+qWEaCkyuK~81Y6_Bqxqfq(
zkpB9sujL;F*nH&0qfVHP!8G~^9NI5lJO<y>UtrXPH!8o$CHFU7$sM(Zu;fSfXJoy}
zT1TUj1#Ik)TgC#Pk6^U3gZ(ScRg?8pU7`)cF7VtYiVCuxY_njzoEIE)g8i@#Z1Tw9
zsUOUH;*P8~Y@hq>@_CplPwP2ZAMsx9Y|u4WFH*heIJ}3KLn8t{UiSTf8Qht5`)D#8
zcW;>A2=+Lm#gqc4W<@<9>n*s?(cQ>|73o(qPQVfyYmBpC?dREi_VDJE%UzG)sf(Mq
z$a<2j3Hh{q_}jpLcU|D0DK#mTu;8KKSO<9c%@zA9c#p3jn<q@;Lv7m%9~&E_c7?U0
zJA~iB%1f6c$@;C+4D9#E;I>s?KeGO0NNU=10=~<zb%m@yxtVrvivBCsFKJr!lFvUD
zj3{A*Jsz!?d&9B8yG116BAWqe@_me)cYZ$z=Wp_PM%JS&$o-fzfMY#ArIWbs;{^eI
zn3`LMlbp}v>SKH-;qz&pOk{mmYOu-)Yj{Uke-x=N1^?;y4lu3bWQYMA`Tp%CQvOA+
z=o-1-Y1O;`c7pj&%lwdn|K8DmPvYU1r>0q9XT4z)XW~bTW8{8Td*Z_lNAmd-)^>Do
z$?;PRp78G|2MZe5>b0ecJ1mjf@%}H`)BDZN3X$-Sdo9m@!kVGRKH+fk9XYwLaH2%V
zVl>?BAto^kD<(WTc^#g=&$N#`kKME69*To+nQsvK05fLxJ|pq&$mg6D@Dp(b*?9Qi
zn<BPy*q@E-K@6<k6ty`AcC7IiNQODT1kjT895Qn*mWl8ty6G^|-<aQUGN^~+Ce$oR
ze^9F(#nA}=_oVY<B7ETO;O$nJPvlW=JUn%b%Ki<!m@9dL^bgN$PJHTyJ<d@ZlKx?6
zbQ{$mtZ`D*stOkPeJ*4SR#^LKTnRVS-99@D2PY+ukms{M)YJ>#;Vco0{!utNpySvt
z_({x!-5N}lq1LhvTeRM@ScSQR&&|`!V}6$Ip#xd}btw0z=VsW5&B~gr=h?Dycbx?u
z6t}P^>+ycQ=MUz9t*YoO_rNb?5^{FII!kK~$6#-60scMku<m_pEjVr8Y`G|`;Bv>_
z0^ZqjSyB?VRaUe#hjpV&nq^?Wmi@M*J!gFUs&*LW=WjD7>!q?^+iX^bIW1KO$a*W8
zf?qc^;oA&@UF3RtaKUO?7ruN#!7?0<k^ARj0`D$;YZM0GpkMuM4j;T$Zk_}mxq9!S
zEv#d$Vvqnc?-6_N2>VAT^%cVW!9ymVa26x?yL^~+^vCBju<zU7Jyr1cuaBHBz<*jV
zy{&{ZL=TBygjF)9^&8+r^t7V4;V<k>63=0|{ciS2@PTZLk}`PV$kvf`_-O2_+!DC6
z=iIh5xGKm-C>M?p=1Izi&HP^TJb+F12e#dVDH=|urNes9YhRbZo{M{Lrob_jF7ajX
z_iyo=v*3Z7^emO|vj2CQOn6Y%;eIt7b*h%J6n=7nL7)j9bmgEbhTnFdt#}1j)Q!>A
z!V<0A(jBmlhAhPkIK1!H>n_-Z=`VFV>=UM}IRMMB=>BViuijqY@(~VlDZ0`FyLOk|
z8i#*3uK0JscOIUzn1th6%-06s=Q)FBKj1a{PqXjgjFY*$mSOk9N~b@;?Yvf*e_`W*
z0Ouk2Q>v)jI!sH`_hk|`*IaSnS-|}1x$G7ams#!I&kKj|UelR^_ic_W+zoSN3#d)N
zF=Da|`{1iqd)ofO?tI@OCE*7_#~RmQiEAH?q)GX^nd($n|2{;M(y0jdY<r=!5uV>0
znRXbyG`XdY0d`VQ=hT4PDny>q!OgsfCN$xPQh|q9;Nzd~eDs5d)~Xn&;YWr!56{E2
z^K{Xh;Mh<rp<tNTmiii5kFQzmws09fyTOo_9gavIoQr`!)hn(r!+d$)Dq`VM`S6Q7
zU~k(3=@gji`Z@1y@Y#dS>v!Pqr7xCt!qykA24}%-Cmzj`_5a+m4Xh8~n>VEw_rrV#
zL*fcy%_p2+$bN#^osX=F;ca!c?ozNquWfHPT(~1$WiPzMzn8HK=GU~U<%1<6N22=S
zS1}?_dEqmfd9{7;ZJueV?eHu2N`-kiA@c|~sgF^<-_(n6MR-sK2W(_X9YV8+=Xvpx
zYiw}sE<;^9n0D(7E&0AO!RxKeuzYX&Iw`+PDBG3|)(>N*BH#C<oarzptkPJ$wg<iz
zPvyH4PWU9c;Sd~QRsBtf#P4>m$imN)II4x=0~z!I%CLOF^-38y^_PyDBJA^aAyf{2
z)^T}O4K6qS^xG3|V{$K*firj<#XVqF0Yxz}ScjFl#0OrPt`^z{v*^W7oP~?*ZsiET
zdqU(K{NV)gO=+aQ-W+(Iavpw4JF<hEk7170_F(w_h~*YiUw1Frgap90eH)l);G?uF
z8$w|I_=}XJJ${q8Aaez-D$~76+AGUn#{VMV$a4+;t8mes>oeEj=$}c;i?Hr}PPb^-
zqk(RI9)4iCttSc|V<?>_*9(3Iqc}LTa@Xh}tbLm+@)pb*^5bMTT(O!#a~qzNKV{Yl
zU%1Apm;~3KlIeL3`w8E9o(>lXWVJQJvO;W&sqojrbJ{g9uRitHJXqgbMUM1;FK!3$
zKZ0LLZm%Hy-#dqQcWYq94zctCxH#6)wGK82G22-VQ~JH1dIkSeD%koMK5l=etOf4Q
z?7U5mccp9WKqtKZnD5pzSn<l0-(7H0qXtVoeC+a1{{dK8EdKxfSy+z5>2WwkMmb>`
z@r04Wg+W-FZZ&Ndz893MKML=)ILS}0SGfx5_Al`FKiM3Va7=xY!yN1pIL1S+Plb{_
zV@q&#2H#dzSW$Jj@F)D^-I3dz@cT^ae5!94U-?mbja;8KoQ-}oaM_<XwB&k8RAD?L
z2vZ6MPmp-;_xJL<;Tip8XA<wNT9J{4Lyg~?aKY;)Z4|OFuj$--(!T6y=KiU}Os-rn
zNqMg9`-$2lo}t<z4o{BBu^GYwHAZ#+Z?83+!$xpuo1-eZ9->dWemDzPwO-nJ06v8W
z*)y;TpI7>BII%sJAsBw{=Wv}L-j;N&_cAQ&d6tP>f4olVT`@34hv{!pUe6$lHX4qM
zI_6LMpUS<$;fe5RYq>MzdM<VrGE9c2UaNi+gdI97-W0<3K78*b<sG@}ZWoi!tNb<>
zhMk7hw^hI|1^V=a;QCt*g_SVXz?c!a9(RtP&wCA@Xp2@p2<M!Q@oR<CkHj^Q>;LM_
zgP%8jM}H)(cZT#2;+g-rnBeUWMqf#NIaST?;DW;g^9D%$zFFQg!41Dj&#@-oZ{N$T
zQ-bi{6fI+N{uk;;_V0$%T~vBWe@Mw=Rk$B!sv2!0$Cn+*xNrdeC)<Bq0<L69@;eN7
zykJrw{q1DM$Ps0Dnt9_3vcIb<-nvE;R##1WLiTsfHs{Xj!O3S&Rhhy&9*DV{!Fi|W
z%Z%amJrf%&VTmj6{&R#)tIk}uhc*A06_WjBri|~7Ily!mG{ijM+PyX{?(p$ruLa%U
zZiR+KPh#JShu*N>7XvmwxaO|p-81l|=g)`F!Rvmzc>UoGKaSZ1!70lrThGG}%SC=%
zf&WIH;fR2>vTJ-I;fTmF=4)_EtmNVA@S~$|;-cZdvnLhqz}9>Zf}`MuhC!M%_(Ivu
z4e@XVB`sAxERbRHm6UI2xY1Dni&7pslMI_rSG;)+zx}spMamb(9!;r+tL1uzQsKxd
z3ifVTJnmIpB7Df_&Zi!@v^iJxE<7C=X-dC@`<;r(zZlpfLac@wR#ndY9R#}-l__q5
zAI!8bUV>SdD7_hBx0oNNec@j7kOfxwhAN*Esjt>8-2yBym8RynD{Nk_o4o^`r}FN1
zhBHUf-fx4s-EW(pgnwgNU?<!vQFGiHzJ2Os6gOP5GSNnU&zGU?w1Tj33tfXD{34lC
zksq#KIH0TzH!fd$E&|iG8OUhDB@9a8qVU$XJ<s&vV(qP=hhQ5!oBKL&zIu<IBFrT%
zx!VN3BdGHBD9pK_!EFRLk5b)Hhr7MGGAv=u<G$OE!wVsM6Hk!Ow<(P4!4IGO-D(ee
z@^OyXz)|I!H`>5jraJ7_aGZ?N6>|KsC2kfESfEhZ(*Rbzb>X55+)|L~dIUa^*SB&S
z-hS%tNhP>OmTI3DY(Vq&qZFJQYn$%}hc&<IBG>P9mPQFVUih9T+H~*?!<x7w>?Trf
zOrE!lWhI<W!P%=Lon(Jv^S;khmhfZ4p+V9=D{=C3S-@i*be81)xF@|o-4Nb&d4nT)
z-aDOONlni0%}EoxIXLn4wg?S)^oE8zxj$x>e-%)H9W-ht$n)#-#<B<UFzt@~dGdVv
zELBg7)c@!AZ$HJud}iLw2jSL^FTJs_z=oFJ;_y!jCX+}wh;QdPP55BCmP`n2Guxr8
z4RZ|hKf4Z(vG1y~h5uw7N+s_nQhkmKq`ukaPVESUyGsf`UxFp`4HkW29-k?$0QlF)
zrPCg;k|Oh#Tv+7Tk_35Qe^Mr^_5k+WB~VJnH};4gR4#{^J3piu!K+_Q{T{=Xqx78Q
z{p^CM-27{}#o@}@QTX2=&+}GT`;~5xF03)eCf5bG1#I&r<&%y7QTD)sH%EVv<J}i-
zy0{9v=OxyY_dB1ZTJ<$}c%#)(L-=t+jtavM^p`=EVr2ZK@?7pFCfKPUsMHkZ;7+~4
z20NeF{m>X*y_Idg6<(2?7AE^&bQ_X;xnX6wXdX*gNUE1w5FU$+6(sfZ(5WX>6#iwt
zpECeX599eF4o@1pW|H^0nHWK5IavDDzr;A$S-Jg`3cR!W5l=OI`Rw?J7JOruEE{>A
z7+G>s*MmQn+NY4`pOHTyji#_=<#aT8{yA#+#mWL+wl$9%gY%gf2JB$!ss8X0xO_*T
zk0b24eDwM^_;Psmq6bX-yYBJ=Y;=q->I^L5Cmgx~?e(g=F6{-_@MnhqKg21m;=29e
z+#G}7<oS<=w#M)Z+<&QYfjs}UKcn3l0(bTKdT)ZCN1x)1gV&vPt;zn~3M<+tiLjX7
zBU|$Pv8zB%A|1XVy2+HhFBnP8v}D2-flenxU>3<;TDdS!U(<1Nzhz%NQd9_ElW*)I
z&&QSBL89d_ogDY;!*DkD#L9ngT6B{(>5r&F1<t>KxyE-KQHO1!V^nM5BU81QL&g01
z<&L^$xH6u(g7i<n%1SL-Vf{;%m83tkH(T!Ogtt7nUrhR=%#;uG{qVYz#D9VCEk%*Y
z5jfYvFFydTntvKT4ZC|L9ee;sMw!!%!Sa=6O1ZFjvhN`hj|u8J+5$_iQB{w^uj~`_
z+Td=Vw?-@Q`t5Oh3G7F=^^omZfP+W#Jtc|#K4t!fdG8)R?+mj$Mef}A6VJo)J|2$n
zX(1s)dbsG*EAMdl;kN#cE%37159cuWrHiZ^JIof#>7E1^FfM-Pf~9;^Y!hHT8a6#X
zxTNjJcp=;$+Wlq^+-tD4KOgRuioLTJ*3P+aN%9kHKWwz)AWVO`PM_o_&@W?~l!Rx3
z^*SqIRgFFe1^7srQ}a`pwUG6;JS=zPgIWnJSrL<{1@}t*6)S*U-Cn-ZfJ?Q#i?ZRA
z;UEn?c&#oto8&v#NAu*OE<7%?v?~P`u5|uo3<o~@yOrcS*lC(7Y6PFY<&zi<PpNC?
zTfjzK0Z}C1fri<oA#-Bm1=>(}G)&0a77m?W`f~*?rZ>A~1K$jByW|h^o?qMK1hWfx
zoF(}VPM+DT;sA^AjLv((`5bMv?lAT1Pvai2UBs{Nt}wrV*(nE@Zhgrk23CmY6eal%
zm^IikZ^HfmCFU8xUH@`;65)%o!5Jjqf#>sjgLqh=`WLqb%wBf9;|?sL^@&9d)*N-)
zm;#UQw~SSQk8BKDZG!2e&mTVkpLp)u+zhYYSZ<evmu~tt_QIzEuRkO0=ly=4*giO2
zkM58nyluogdJ4X9{Dy!W{NbBt-2}Yt0CP4u-o4{>atzBD4^~cb6N2x{7kSXZ4`+D4
zaKqn>xM!H*Zj08BoN!e1!KW<nsa}<n0<cx7=>b{zamooH4*0BQ&>uP2&!X)iAFP(k
zzibB6udex%xP;${#uM<z5AMH7{6U*=oeO*}#eJLy*1qZ#?FQ@U^f~T^d1u}-dXvwm
z8dwOzOZHp(ec&&vRRjCr64L<l0Qg9zc*kD&*{yoPKv<wK)qvE8+2;K@p)lJc26b}1
z-OO%Qih!512Q^jU<Sv=&7}%9dLs1zv-Ezkw4bCWIYQ6;T>S7&CfGZC?>I{OP>4$G2
zaT8_PzDzi5567)+xW^);?JhhJ6J=WjTjdXSzk}DF>>n;CpYM}=-44rdWV!eZo;$zL
z`U!4gvp@d|Zu}klWDwr%GkCNGF1DMKnt*K=-qn7BcZSun48z0R$G;Dec%gG_FKoFz
zdSMRc+&1Rl3A-jx@z2660oPYv!>Vb&Qn#$&dP}}iT?23Wj{nOIr#J0WsDOnflV0tE
z=P#8q7Q;>F<&wl;k;x6wB%bNg#3ln9`)t2j4uA0S9F>JnL^^ML0jo@}+8%+YJp7lR
z!<5@i*Hqysf40>&IOgc*i^t$YA9%mEz`HzBHFe?l?H;GQ;I52MD(-N7tMB1fxbM$B
zW=~lEQ&laAf1>NBzYYrqhTbA^-Mf$aZomn}ueNl<7wV+V65!3!B~;}6gQ*=N<KX#^
z9--v?5AOB3b`SO!m+)wUEoxGqX29Rs7N)D<&$Zk#58(}?Z-z*JR^4*c^*-Dvbi<nT
zcPVuBQw8vwzfK0EKjVv>+K~?r<Op^=gbk={Z<oQJ!v8efhvQa5T1sH)m@1WY*z=uh
za}E46)n0`3XY6})66@eU!}sz@f5&z#i@6Uz@$UDvR9LGlX6OTK$Rtaf11HgX4}6A8
zlb_6Iz}Jj}n5JNF=8ImWKm0OlME?_ZVEJMa4;w^SDlEZmFN?cLzL&=hwUxhN8F%|v
z5imv1%h_M>^yNJoB;U(^k!xRQe_?$DbJ%{;-Zxzj=cIwR+Upkjz=Js>DVtz)%9&?j
zBeyYUX1HqCKE8`^m7b>Ee%Mm?;R1<wYnzK5fR~i|&yu*rWve`OI9UI>jxQYcd26r%
zoKT!?MC$LtXwkYBEUCg}`v^8@cA_zYhlKx3kl+94&7m;-&zQOmhL=B(>&Zo*!PttF
zr^&bIhcz=pJ5RwW*Y+ImgWqd@@p6XWbOh*sff==&=e*$WtxKv?@P>9)b6+@pr(5$n
z{PTWFZvaePHCXu<4yWSu35E?vgsL|q-%tCE`-|7$)4$?NnBeg@Gc^(L*MJJ~tuWp2
zd8J#h-1JUCHh9liJ!2fqy+h>z7kqrkDIyn+U$MJP%G-UbGR=cu@m$%k6W%^-*;xzE
z2wWQ24s&j-&a8*6Rc>36d_+4AYwT=+=lsU>NO|f!wyHO<@vZHK2Vl{pZ22De!eJY=
z{V?yx&2;Z!7lrdLNj{{%hMD0*aDnpEXOb|d^%m1l@Z@y6yds=umEAoBtE)5aKLr2S
zvm^Tp+>**ytO_4|T(D~qR@Jr0QijV^cQ1T{ne<NclYC6KM$b+&uVOqqR$zg|Pd%OH
z+zjtsWjQTJ%8Q@7vlSN0kg=D67Xs&6*<d4Ap%L<ZO>}>~;)feo9h*hq54sV_g0OXf
zpXNchU}4kNeQ<PH^dWJ$?e!&%y>KGq<w{}l`7U9pFxaL#hKCtmX!^7<99HB{$RPDu
zljyzr7``L;TAvYar9b?-9G+fmen)<<&tFFByI|{$i)kd@mrxbk1D~Fm;bw=E73Ude
z;g7<+KR3bqSGou0NO_v==eNNT*%^In@Mo_8D^|EY;?lWwc%zAvjR3s6W@3rvH{Ku9
zm<{;gvW5>0bnvSn%1&~=TSAViY=LFC@*2tcENd%nVTD8U($vWLn#Dhg;efxTE6R$&
z89WbdxZwSL`=62e{5#L~ksnUq)tWB_=P7L~5QOV!o{K8M8&j@{?1RM~8tznpcjVvv
zwI7z1Q_egJyF~vzFAZnx?~Wt+wB}CHYskV;9(An8V6l!%O^4wx6?)WKu(0dR1ZBAL
z-l1><*u-W7s}{_l+T^bXH&<>Q)h6-2;#D(Ph|$pE4D6D~SD_1cEr?$Cf`!x-q}5<i
z>14Wd@KwfQVbb2{<Ic$Y!k>6vKa_`a4yTnz!A-lFf=T-gdg(bC0mmEc`MVcR^1ou2
z0W)Xo_6Wi^_8yB%hfT)ajk#ft(oE+2a764&bxzo>-$gkac9ooHVu7!wJ*&xsedZLN
zlJ>)+czGcgo?En(p@n-7wRx4mZ~iOULk+(*ip?m3r@1<E|DeBkaVzI`8|)mme)b34
z$UN)(7LIuQ@f(Rh*Y<Y!2nU*3zyAgQt7O?Y0uK$ae4xkink!CR`3xH<A8RFlZ`b_E
z`8jyXrAL>vmjg?`XV&1-94QGN7<(_D|Aj{$Gdvc8<udZ+sMm149g(_E+FPi>7CKsZ
zeU(m#<Uey$ETP&4n=a_l?}3ke;O^NDw*>HA|9|_6q0<+GpJ{p6k@_qMS^Fvhn{?8j
zBJCwW=(wjmynQ=|3Hd#gKk70n!2(p}rlfti@6U-+BcE@2p-I|@O4=R^4VW)K>NRN}
zO@3GUj>B<vG0#c+P<zObs}DyRS}2&q+;omY=J5L$7W+-%J+YxpmT=IESutnW@ZPBE
zDN_Fa)GkN(%kp_vM_8JzILi~Zx%EEQ17<b2pWqIc<ejzif;HXU*?r-ngSQ4l;Vu73
z&XDp=)=~x6;2TZL?&sjctqCI0@X+Ru)}%b=Go{rSxU=Q%&?UHp`rpsH@b5!b^%r2X
zp^}%G@X=;Y)hn>;i!Exo@V2ktC4=G76R+6v;4Xo(@^F~DUL?L0cDon$Fbq!M$(AUG
zt!Dq`Cc!<8QledO@z<SaqT#1v9#-$*yWgDVN%@;0f+s$~&3dDq<nMVLF^e36i*AV+
z`oocCMKqJ}_^C0~^RWGmA(?SFky^CD3w|_w;J+DoVPfQo2OM<c<m4CFaau&u0bb%P
zbXbJvdOix;!>vd96XxMP3cK&0fPESHS(o9_gYT2b^{mx6(MbLtqp%G#1AIN5S@kP?
zg^GoO4(|UZ_v0gcK>1<-dA_>WukJGe%Th{slIN=s84F4B{R`LR-EPD0r_IYq+|~M<
zC3#<ESlO>i&bPntzYpYjq$-WCZVDEB=g~@@CoCD=7D@Rldy2HZ;U{zEr{~~pC+rl?
zz!!V&W{~scWX*o=3<rOY;QkJ8&@(D@gijm2(Iw|w=9VaG4GR^OwXVS9Why+Du*S6?
zzkk9<4uqu}!lm53{(s?yP_Y<&n9gfk-WvS&l=mi0c%RDm-IRauzSOv5T@8Lgf6$x)
zHm9-<R)jOKeU=Ws;l1JPA^5D7CN(WQ&8D^>0kh?Cgl>lYq9;el`<TcnvnNb&K%9u3
zFdR20Ai)khZ+~q_-p>|!Z0%WL_8_KCZkT^k_!9^0!2GCz6Mh$C&%6V!ct5AY3U|Z{
zMf1XL=dMX^f!VsccsSwrp~hv)7?0Tg`bHWbtU5W9{R56*q4>iCucZ2Bjl){bdcoV^
zL!kpDldz5VyJ7P8W7BPmd*I!^{Pv7+=XzcBdpM23Esh>$U87KJhqokFvu%Vgl%G8I
z4!$){tF{5&W|h(M3jS~1y7?FCGt+&!kBpZn@DweR_I9^g%Df&P+gunl0!LpJ2qEPK
z578D6!_Quyq^N~YvQS9BhF?A1v+pHrf6T?H8J75AS5OU`1wQ{=1Dm&{Ro1}0Eb&@Z
z@O3`=XGQRaZ_}+$;11uz%_Z>q=4`zOaNV!|S~7pZNiFfF5FQFHD073UG;?jp^{yPP
ze1MEMzday2SPZxJZsF5|hcE6{EP#*Q@Z}}r&7}d^m5*V?Disz5xX_t*hV%z75BbKD
z@#c>E$u7^}Z5IxQkohuNde)Q*Sm?xA3NoK_IV@}|`Tm3V<d%fsRl9%c)v(vNyAKcC
z!r|H22w#^IcO>&iQKu)C>fzjvr^Z>~r;f+HTj2eNg?hKZjS@{+ui&<$Crrrrwz1P5
z-VV5-Y`X>-?<>u}tN#|B+@bT5j91_1`unB_)=i*&O2)H2)~=_&hj$uw%l>~nkSULy
zT>ly73ruAE&}UU;g7hCR7@kFw<GD`#8z$G!x;~>fS-;TwJhONmKGWU#jf|(W&-@c5
z*Tc?9zj5+?c(2}HBiGAUwnL6Aa6rtvS!wu~+tW?d@YfwXxTWB&HY+#(;O~j7dfZWf
zU%$Q_{2OjbUtN`jXIIw)$^5EmlKO=su)*>0)1P5Yg>qLJSh=oYhK#>ftzDQEgY|^u
zR>^#EkP^49DC|>Owo(LhNgA~rgp(-_Pm}p!fvjbb1MnT|r=L?{kDtwj!mzff$Z|Sd
zv%6b~AFfdB_YH;199Ex;z*@a-PFG=hDz`uqw-quxMaIiJc65H#geipnaFFrn(!h`x
z+VJ<<np7KDLiuHx3p^ox$Bx9Odcv-{!L2jqqa>bxFY(`5m{X*w%L;zEa-!V_R*AZ5
z><HK4pDF~vlsl)@PQgbVCAk7&caaA#-C^&;8Y!W0COh3zvfjyolil?itlHKf>kXef
zqHrn^=Dc!=(+keq$Z{|l?x2xMI|oZMXy+Be7k`PIA?x|FKDhPg!y1%+^JKjgW$%^l
zN|^BxO(*&LcUICVpTP+Wh6a}K-pRaxcG!B3P0$2ZmaWNu1Gnqg=jg!4c2^7c!2ObG
ziDZ4{?63TlURZincPknHzt?Zwzw0l?hXgCGD8WW4di1>TpLwPY((r9<Axbe=R$63C
z93Hb~mD~saR=jGz2No6lRU!#bUb}9z8!j&$|0Ds+FN}5azzP2~S<Ay*>eCHeuw7O0
zO<DLKv#Kf^{QmEC`Xlh5kGdoaJR9gMuLSF4W;~{Y*Z&-=P=ke;GjnL*)Ek`JRN%8^
zhS_Aj;2Xi2cr7@N-XLKKE+4J@PRd`tv@xEnUu8|adPWzXuKE{3)~~iacg;LT%5$99
zNY)E}%opW0f;YMtF7?7+kFn?)z*4&leBQ!O{X1Tp!zEX;9NJ*f_$R+iVUMh}F|wYv
z?62oJ8~7*PLU$c}BUb-`6|8VW+xQvWAy38c0KZ?CS0n2Yw`xop+QT{HiH&4E@6P>6
z?XIw)Q%HFM-1FG)pEI17KO{-kCqC%oy>uG(l7B5o)+b`sWWFb?Ga_)GtWWfkzc1_u
z?+s*3N`|k$J{fTqmSk&8xCZB_{iXDW&)<F&77C~L^h=(Hvm>aeF2T_;zNJAh702fv
z{xCy|-pD2RKlh`4WWUzHt#Rv6Sb<)^iR|whVSRD)DtxB;@`Mu{uXUV03g&UO?sb3#
z)rI6E;NHMW6D#<|v(o=!;3DY+bqjb%)pqL**yho3H7!#9-B?^aoTn`$P4Z1u*i_cX
z!a2Di<z#=9so8(eGvP3qJ<0O0fqcZwU0AC#d@EVsUU+}q`2jpqV?smLx9d^7OU{9X
ztDaoj4L{63%2ojX`Y-srAiQ*i^=KYk!#4br3zqa~l6nQF+J1h<1_uajq;7%lB!<az
z!x9Y-m#5&9@yGv=`1}0t&0k>2k*Pou-?tj|jOHKeFZRq4vY&u&%S0p{oU%++N8-xN
zrvrAw*H0V|A@NHl?~m<)Yx;&alKlubD2)|0;OW_^CK4AC8}?9x4F*oAk^KcP-uIe%
z!{)0iQ|s72==Vzh+8Ov<{AuSEICVCa;sShirPJ&u>~F><aSj&$uJwKnjta~W34@L3
zv26{0pu}ns0#m94%aHx5RGg~Kxv*a8jxS_?q#M(4avrRHAl-EsewI)d@d_TwOc!|%
zzkK3;q6J=(;m#-VA70r#@8IqqhN)zK>ZZLvDLY_g`ECxf-*GSho-6O+Iw~55E_gcX
zgTV*5eIoQa*-xp{c28v)Zn-0*L*i+6wyeM4H*uM5Brd!DHGK0r-j_`0)5!6TWIQ$B
z0>>yjag+U<9Yr2mV(^W`q>m(S8gP_D9Im`gXG7xWdzr&c;rX4jOk}_8ZnHiA8N*dh
zfj3FMu(=DaMW^6hkIg-s;UxXQk9M$x%*^ZySfC^Mge$B<**!@1tMYeDv)jXrHCzLC
zVEy626bm>!<iHHc|F!aV<&`;{dB4_;<p1(IHLGI)SJbv&OoDmXnJ($UN;hp*Z^GJn
zKSGYc9a*P2$bRI9$~=#iU{R&Dlt{QMhx$1=KL^LPXQX`pE}7|l@V)kHa%BJW$-m6!
zw!yLs&aT(t%21vA>~N><{O7B1y@q%pHT-<7i8h@0vF{)ythMJ@L=c?P>TLT5^&PMv
zcKb3M{;N3VHyqpicpKTj{XQv&bqRKzh~G{2YyZb~#CrkG^|~$O3QJka{rn7<()dWb
z!v|AFj3;2WZ$45M@NmR%-$(d3wU(L{+$t+aJ4oVRnj4MapVblxO|Vz(zNHiJ=JUx7
z4e-09M?MCyUsY(=eVEZIyNtxoW-U|Xz`5F-5+tq~-kKByf6es2Yzfa*>%F`LpKF`_
zX9$~1scHMc68~;&Hi7H*z4iBjoqPU9lYD72B29nX;SrlVcS%0Ay^5n&E^y=I#dJlu
zXYAuATR44&x$rQ2s+{JCHN3TFE}!H}i>9J&G=WV`f}S6MuN@mS)Q34@8sxUYlP=@E
zny`DZuGS8CY=XDxFzhsA{qifx2e6e+nOy%LS^NH*g;`%Som7B>>@^-ggPX%f`c+}M
zk@{?sZ!CO!b_$9AF|fLq2#Y>)VLu9Mop~P{53A_TZ#)FwdfTyy<Ufdw&JI?AYn^re
zIl)>|*OW-S=;pxMQJCVGXeEhzzBHX9`4!$B=JF@;_{x!KURYS<$r6bV#aRvTz&XY9
zA&RiS<<%2Z@b0)v|H$9pxbj<TBRnQs9Zk+}nU?nz$q!b}dYGP^U!&{or&Dmgew`~h
zpGaSe3X&g8QsdBsHf->s;~~ipHeK|aO$%oDEWVrM2MZiObBokx_~HBi&kyFRzA&!?
z7Y{gZCHcWxlC9m1;r(16s7ZbdsyMDxLpUi~{u;>-7R(p6)dGGyn0t=o2NO+JQ8$Mp
zOXz=Q!*xy%>Q2I!8P84LgC|Yw7s>B?L%Gk9<O@r4sPk}y)$)&+Cd1czWZLZDb!#e<
zYq0!!w1z9(T;i@43e#WJI`0g7?|<7!@`X*zq<-@v<)g*R{b9w=#(bW{o(Ym9Uzm1m
zR=O{2I=Cc2@?}+WvHm#&&y7~{ll)+#Bjy)K|86V4gUt%waF#ij^zT3HF2x(c&VB~`
zr2We@zYj5hIfH48Nc-o|KeUnLD`~7(eM|cL0}b)t)nQhRl|NTt>%wJkC77Z`%s&#=
z-LHE}0bYDHni~!``j?I#gp;JtaomMls?#6ug9Y4nX{W&=yC@Hmd?^_n_0p9jZpO64
z1uwCma(W7T6rJ;7gSW5`8TP_`0qT;Bu$_m`)o!@GsqFDa_}=%-3uEwT996<U<YyVr
z63-oh19$kal6+Pvf#)~Vpughyu(5F#*5_JPqJl5&_fsYLtLiLh_wvKXR~~L0gee#=
zTkL{`mAOK?U{$Y6J;HF2F0ao!IOfhb%H8n5a>BP)@Ii&?;QjDLmZZ^_aP*i>u_*kF
zo5B7C+(Dyy{}9ZRwNa%KzDo1BTMpKm_OC02`J*!Ql;M7(v!%uGcgjt{hhgJCQwK=?
zD*2fK-{bJPoo|@4;Y%;na&+JaRBE^Gz)MrqcP!z!M_gx;;4K!}Zr1QM#_WZ=a6wM!
zgaa(97x5_#KJi}gKPUK>6_XvwhgJ1}R@@5?|2d~mjxW5|wDT;yd3MQw<ky<I$p7jx
z?4tcpoaEQCneV)P72aefT=o<$Wz39@g?(SYjwR(UI+&e|hiUI?vXFdT1G!55ci@k2
zSty>vI(4ggX>f<}t*Z^NM|n$TKHLzw&7S1nkuHrsTL>o)#f>(@x4mtgtKi7pboHeC
zCGmu$O88l1j50aiacyaucd#w>L*{bW{IG*`JN)Ca*sTIMCSIwu7oIyZ5S#}yP`ZEW
zh6lME{*nAZcaZgI5ayj>oG1B#VnW=b`e6^@B(G%H-&BEW6sD$9ut|hxs~sgj!MWK@
zA8){(N7weu!^Q<P)e*4KDUFC3Smp~?70LJIIn@%l3Y+XTO7(%i-JLC1fp5JY;&6v+
z98YD@Y_P85il$k0f~CG|_|U<xWiMVl4KFcJeq|<Rpmihp!6+=|Ua-KAZT+YH;9bjk
zavbpAD2je^e9d^Xoq}+eRqEga*w9Ysjwl?Qz}c1q>wV>9l7L57Y;;NcWD0JkP==WX
zj*F7^ITiY*O9hVkT~SaEcZ^(kZ2;FUCS51x*ITaLF@oQI`olnepLGr@1~>SG!oL1m
zn3bMq&>dFgiM1g4+&;hDP<<QjWC;CP1)ty-i@pP2(H%Y41Yd|r_*(*}4c|XXe*enF
zw)Qf3g>^#{IlfQDQe_9cDE8(GiLWRhy3q-X1qe`(>#tsmlBS=0UQl<D98WA!uWtYz
z;K)Av7XHD@VKfH2a5dYu!C5htuCwsyS=Z5@u*#nJ@$c|;%dmG#@IwD1^I!0GrVECf
z(7%KzMs=;jnn^d6N&iC`GM7U^f%?rKtRwwXlxzD=dYJLXTnP)j>x|4I0~~hjkT@qC
z-_PN}3b$U>;N1bMWrZuU!&0;HnY-Z3TOLoj;Hwu?V|Kz5M+_`^;c+4HTL<7rJ@UP~
zVTS_;gZINnUz9!E1Dp9=`X>!f_onlS!vkIZUnSuumpPUs;K#LfUL;?j6gSOjd06T~
zrS&0LA|m350z9{A!;mU`J@?#mRoH|3N1HNS+r4%}4W_h_*VTqk1@&Jwh8rx|_mckK
zD%!=^6t;FV&nNjJc`4Mj9pT~tzDQDjS7GUeQ*f8S2(1e2*n8)@8=PWNw@mUGK4>_j
z?+lkMC@quop(qhoKL=}CEO(2*UG2AhePK@F3S&O_bh*!b0L&Z~t;!2CKiymx2wM)k
zX%L1ZbIuo}!d8PDf=RrfeOFLAT&Jn{kHqCZt*+$2TC@M=gy7q4k6IqUXDH;o#NZdU
zp=w3&x3y&}a(}YfB)hEy?yWlTQ3~EJ#1>Zp>uj2CCHJ$x32mpI!87M~>5%)K=7GGS
zTG)`cS6&{zAtrRS5q{F9eCQawkM+y>F4#;xZ9B;aM)9&(s|Vg$*nV3N?)COQJWk^B
zJI;~vA_4b3N8y0$Q$I-kH66L~`3rpNV)*zG*yGE@(MdSgQDB^Wf1}oCHFL1;;rdSU
z{qx;t=4N1n54Q}-{Z->erOS7Cu5Pa~KP>TRI%yHUS-o1z0Y}i5Z}|l?md6!uhv~A$
z4ll!+EcRl|aO$*h>fVjkb$uR!<s0A)2UTD1fisL&B}x9sJ^jTmWZ@#Vxh+57&4Ep`
z(lEPRLoB)9P8~kytOReZm$^I*$DfQ!RDgLjH?5Dr-3_0jj=?+g=LSE*+m#lc;z6*k
z$*ak#2i8*?6t;y&6IXY)!z?RfrZ%v&PxnJ|zfGK-dL9C^{E5*c{mbR?`I}+z<*w59
zMmYRt1no`ux!T`q(w`0A%`UhF?`l<gLGJJLb4PaHhLxX&6_ERT=hoo#boi~wC(#*L
zO;lj}eYkXlm-7pW8()mhgMXy?rc$6j62y1YmBBI1MUm@>^Gr<gKZhgFi_-5!{LY(u
zck78GY*t8nj2GxQ(+I2E`dtu*Wvw)vy5JT2He>Sp4I~B1_P{@AM!HG+ySvSi|2zDA
z-TEep>t1~HV+qcz^kO2{zl)dsnKf7_E#x<8pUH9gDu3Zq|Kb8j`@Bx)R82)`T~{TO
z?Mm9GSi_E)jc{>E!WZ)QTiBBH_rUpVr7^o<mWD$?yI~&N2b)QMbV5`5t0KH?cjE(T
zAJ4?PIThgB%^@d9`>49KZObwE;9ff^(m#fL2p-dccQUz@lm7A7Y<-_493CneOUmo-
zJD6_``yQ0rLi)q)H0Lrs;G7prv!p!b-ml(Xq`dsH2RB@+eQVASzHsKP1?f+v4=~l9
zhZ7Rp`$>Dg+F2qW3>)xey(0Z-xW5F`6*yzzo+jx}tna=LkAQ`{PfL^fU#7OPh=Ly-
z^ZJkUuf|1`J+bg|m`o1okHY$59>&8DA4m$wz>XBMe5vpYnO|GT?;-WIc_|G}+VCTm
z^sfnb&YsSJPk(t5O!`+UO=^_~u#Z*oKhnProhz*>gqc#^=1Bj#JfR&^3`<m;@+AG`
za&A`W3wVj`jV9?|TYsyX)xux?G`u4H>vYV*yJnb~+xtHq_;gNE&TDvQv9q)Z+%3MC
z(g!cT`ELt(e%~pQ;n5G*h~~wffGzoTr$%5m(PP18u>Hq>&&FU~NyUFB;bBSZ;&1Q{
zHt&8*xU6&A)g`#}vz>(l>^Sdxej}AN@|A~4*}^nuWwfbajX<Ar7x+!-WFsTIcj|AJ
z6D<FuFnJSvR(yt!ypO0qwPD!`Q+zwi><Ncdi%e{T^(L%t`N4*{H~WR)0d;Hlv#>|3
zU7;{sL#;kT-gktau?io6A3v<=I}dX>%&v;VvCI$6FT=ds4Hu5UpCoP`yaca4kZ4eW
zwOza)llLj5gOiHdaN3ul%&YM4kXB|Lc%`|X_c}bcevsM{{+Sp3`x<;lYS#xV_^rvA
zfEc)K_aQAGn3^p_H4^r;Kgi_=w-?zp#KOlDCzCG0N8UUsA?3$n$6SNp@62%rZo}`?
zZ;yw;Yhj<blVBUFI~Cz@jCWP~UGn)Z%EBagOhM<u9k}0b)8*T6*AKy!Eci8zzu!YR
zxGSfVlsAoz(tHHhnqM+}2n&rbDL#d3w5CO~Ve=Dv#-GEI-U*^lNF37?4Y2Cph8<;a
z-~ULu@3<bnhYjFVT9SxwXzw(%X^4iRp+rMUQPCi&(55L-(Nro)dr5mJ%4jK-k@i3n
zX(z4cI=|=7_v<>Jdw=e6&VA0!yHWBjyzCVdTLIrseUbAX4!5WcEQ94F_wl#GN9^`*
zYKMDVr;<8h`SCL|AK+D5c9(8g<DIbcS6INF$NVpxq#r5J3RCKj-(7$gM(fh+;ISJi
zo7P|(o6g9$@M4dx)Cyc^!LXwW9tipVkb4vEZ-vE6$nxE57rVp@TYO)Tse}vvg`AUu
z`#i=NOW~`$1JW|E*Lq&qOE|*r{xd~bOYw;(nVz@7h_4bHWox}m=BL3HyK)5X|EE9p
z8n$YjZPkF=+jiK#hhM#=RXz**@x9&m4jyrJWVV1`jr%`qfpsXj!!E+g_s_+X^7*bI
z=WSt@RSwqAaEAZkUPqXIX@TY=to<TC-wF2LS{&33w;!_>c85pL2VLugm9A84`@w1_
z#c&$O{lF%lx?p(UoxcMc;15ZgRPMvi!?-N=z?3VkFJfSy^TXP^U@oQ8_haGU@c8#!
z@Yg+j^iSZjO4D)<_##I^Uoxx}$s{KT$9dm8odvgTZ|38N6V#YQbKqZ*w^GGmZN7o@
zLb%0lf4B%-pL^Y-7`_@g#v}tzFlx-dfKy&QS|#Im4x0=$RKxGXwY|yso&G-lFPq`%
z#-~R6;iY_mh!1eHjef@=SUa{Ms1I%`e3(zlAI^0#9f0-Oj);@`qg(pw9V2i~!5}NC
zKiViXpEU+&zquDr#;=dpZQz@N_40Y|kn!vDN4@?|!!PYxXimV%_w`+t;Jlo3bH`zw
zpY%tU;ZR1pYew*c9YeJg)VP05e|XLS?vzT3rh=IZ4-J~Zm-=onF~GN<G&G-qe;!^d
z+X}0MGB;m>Uxju{vB0eJ56kV~4Ifjecf+?j6y=;@wq##lE;uIY1>aS;RF88nAAD78
z1D`L<_<Cci2;6J!!E_6D676smgO9VZJ_v$oxGHC4;6GUpyvX>Wg2yB4_QO?l5-Vgp
z|HWE2l|%4@-%rNw!OJcz)oO4{w7X3jyx|#@oHo3&^T(+anC-KVxDotK!(YDx?r-ra
z)`gYl*e`U#v{MJENZvH<YxNHfuh|z&@+EaP*A+PI$7HTCEY`GrUI6utH|<&_PrzJH
z^Jw?N^?UMsNlvd$LqqC6sc+n(Ci%xV$$Los=K!Pq+8Nk^igT9_%;KBvZV5LT-=ZSp
zar#KUnzw;(jLG;vgzwwYI61;^zlJ%I`fVCvncvsoH6Nu(GCt(IV1TU`EXfewO~!}p
z{@d`w7oKR5Ga>cuc~xBJg5lY@K=rrqS(>x7q3{)>gd?Oq;?0!`|0q~@;kyK>zmM~y
z5RHXf3m3$Hz~P}*8A-7FdpR~TUgN!-P|svIHmW9m0xmr;wU7xjQ?3P(_K*H}y`)@t
z!zKElB{=4N>7HWv;7L^%(w@???bl=pOfy|KL)u#kUK`j~!%X}B^{>L7u1(u(VJ(#n
z{fuaz8GU~stO2H76l)^wHU0{2mQAqJrF_ku@HVE=zIJ&2MyD)kKhjkdE&K%EjXYgK
z+MiZp6U2Jp4|870yW#$@k&S)uy^3Wn9ys&jY40C!<W<%!T(C4(hW-fb*cTfj1T(wu
zY55JyO%%D2_Ab2zhvYx7<huCZeXwfVH?~E%;=INWQCM=D;`Cp*ouk%D7VhB}7^9&v
ztC4s;s7Tt=w04d?*bLt>ZdXu+O`Xp(FvBu0x&)MA|F!zT9dP8;6X~S=E~Z!2j18XO
zYY;)&?*c`iNpQdygBrK#!O{1GbNOM{n1)pySU>5Jk087lf6&_yK67i=%09Sk!vVWf
z@Q6`pn*^-<ENhIkAO0v~(2;|)ZIeEe_QRv6ZgVNXsxO%gEMZw$ngkWt_`^o!bFfQP
z;8itv>b=t|Tln}Q%`YuDSJFJ^B5c3sUX2c{`L$Wt5f)oxJZJ!CMil?&02e!O4I9Jk
zMPWP1_*FG?nddCv?;}??dco2v2V~E~W#@Z+$aqm)nzheuVYZ(Ym;GR70~X4wa8|U1
zeJad(B=@E(+}A5>^b|g95VYb2fAX~d`~s$<=W`2yH=8TeRKS<M)HL0LQ=h-D?t!nn
z*lI+=0Vkrey5RHQMdBX8*L?S6EW_1y{X3q*1N}V_OYrWX&5;@K)o*{9Nc;MUPwyD>
z;r#BR6()Eo>u7l)>{;co%njd;qn4?JKa28?a>B+3qx-7i54K&yq`hCR^|Z-5SYAK4
zeIMLk!oRN`&g=Si;sET^IFa=MzR41Hki0KoR(t={M_6}NNl^pVbu(%0g87TS3mk#d
z4{mnvgXw1P^ON^6e#CUm{eTC#B(|M`I|XAOkHMcSJGYYeFD&^l?U{m;&bcg~hj;kz
ze>)4u80`Az43G0NDlfx&&UwREVOQOe@ikZ-cc|ojk%tklFHqB()%-B*Z@mRuDHSWw
z!iQ|c^zOhS6cMFcVX>3t3b)}wKc92V@Dt5b@(<z33CrF+ux)N9Uo<>aV^P2cyGQV)
zCc^i#)WrDUyIN`Y<6*ud>J$R-na)3qsqoc2;hSP`(eR~z$#6D<<SB9ZAZv+xHu?Pm
zOY464i?`^7OxR{n++6_<s(xWb#-s6fV4YWiM;?mlmBGS)MVr)M`ll`*Ucp~C?a|PN
zQ`!eBs^R^H60FBz4}X67I@s|$$3p{Hmo|*=EgZTif7u9bJKvtt4C_$~kDY}F6lL!>
z!4d<S)fVs;C09n$fAabjMR^<Y`^z0mZ7>JJIYv8}XD5q$7yO;|)ZMFaY@CzzSJ?Qb
zmxVLTJb@QM;8;ed9(TCt4RvcDY`Fd*&>Loz_iG{jb&I4LHU`4y?tUyM{dw&)IE@~{
zvey3<sNj92J5u{UK89~7pGhG7k$EMUPo~0LDl5B9;QikuKjgrN%H%g0!~bP`a?6L!
zVv;FsVY8Kmxl(x4ziaXWEd3xYsS>_krSzNhhtIy#!ulG%$bGf*8vNT<c=`?8n(@Tg
z8*Uyt<?tSUeg1<g>0f>*s6@2|F1o*3>kr@b8GQK}PJ1kn=L_@w)QIYUcU?0Oy$jb`
zyD;^`^qp=jci^O`{^0?5)gUeA0URC1U^xo^-15$s^lvZl_c|~RpOc!}@DN^E%_*9K
z)s;8@ih@ncxq@e483x%)iST@({-%HMR!424csN1oefKi#_RZx>3hbY^YD7tg`m;xY
zHOcU`8BftoFn>wz;cPhdcYY=VJX~8LoC%LEO5J3H<pKt>p2H?Cw*Pj*qr;<7&)^x=
zsa6&^Q;%Us8Ju!RP=^y%rDj?$h97<^;^u~(S)^}P!-0Cg5{2Le9x1yQaA%gci!l74
z=hWC6csZ@?k0iXJsQalFE_!$Toiw}}f8}HoOs5*Gq6q8jTProdB7%G@N^r?(|Ef0l
zfp@}I9r$(9`G{utm)7Co<M6wyH@AI(XZgI&8^Sj!Y*s$PugiE37{db|ex5z>#5T(!
zbJ*ql#fx3Als#kcIau7+XLty{aYT2MEu2(k(KY}dv|R7DgP;4m>5aj$Rm#Rr@L%Rr
z3M249(t@Z9e9q6lViG>#A)n;|``Rd{{(?Dp=Wcqzvff6#^Kg>4+_FEsw@i?67GC<f
z*cJ$jTss)L4BxI(IvxtoP|&$8!QAcje;>d(C&X{i<9$@ty{6Mia7$Q)HZ?3eCRCpc
zXR9<dF~VX0Uc7n^r-Z3JA?0^G4UaB_N9j*;GQ%xhJ=-c_FHTzeZSayt>F5i1gWAsE
z-EivKM(a1QNp77B3+yU6B>xWH>H2Yo6W(gKue2GKmc7--4*y$OJl_UOJdW(y2Wx)S
z?EeZ2e^RI;{S93Xa^3BLUqxxZRf63rZcu-RBb0wXQ-qKB+w}f`cW#~&BkuzX`@A~+
z3r^e|zKirX)KJZ(nu2#<i~sKw+&e_;y9nF=l-fw%H<s<DGG2nsgZKNGz^O}?pEl6L
zhK=^daC@0m76t73=>50_ywms%KRqn)!sPQ=_;7P)##WeRtEs*#Oev|%#{!2md{ev*
zGtQZ{?SV7y49MSxy_Oqvc;Ke;^Lznt*n^qB{IE*<86NUJc8Y@4bupOM?JGkhT#(?c
zEe?-4e7qMA->dsmzaKtkr*$I^Zm1ByrU0u8DP7BkkK9h5Qh`+-<(rfKU0y8Bb!xDQ
zRYu=)xY+85nl?PKcV`3XfB3KR%I@Rv)<>I<mciq<$D$2jsgi4wC2*7VG1b#>rmeYn
z9c=Ka?xh8M@?Y)lxA0$+m8kP@l2S=*Gc0+`YnvVXiFb#86TBEzI%*H|Fj7-|g1af?
ztexS(W9NR6{$(@o%b0G!F;mJDLvWPlYq~%<JaFV?AKW!YKX@A+vi__z0;hg?U={`o
zBytJ;fJfBC=px|8eM|iFu*556ie$L_rQg3Pn5*Dn=TrDk#AWv-IFF6TFdNQn$hKO9
z2S0m@<ic%gk>5!Fw12PYGK=7iADWw2;p>O&Z<fG2r;4=6_vwwU`n$e`rw4X(QNYxl
zKabbJpPSYmllSxAakw|Nz#bAJ!Q}n?{Tzm_?eKqH)3<lSXJ|%eJ7M~gT~4IG6mQa*
zrf#^}`QIN-_!Z5h#y6Nfg{_<PKN-Jpk^Kk!jAr$;0Q~p(a@<e&TF4$XJ~+tP?dorM
z<l#~+>3>4?IK^%S{^%tbL;9bL<_IaT!ILMbc1prJe_mE?+H6+CSg>QA^lwUhb1aeu
z-XJ>VeE`02dvNPk*l%#zhV*9>;dUHhf{##ijFA3KdRDYnyI}s!eQl(_ig}|16B~Sj
zJM4oFT%Y$Lgcmk`a=)DPSJ~}uYsC+jMqNB`3hwNs85D(g*jjPx!+TRTLM32(UPew!
zSSWjfP7eNdc@y0^cwhScL3y}Mx+};Q_7ssls{$vqzjq@2RahqbrPW}a!;hz~z_~Ml
z&$VDH$&hZ+|Kz);Opp%Tu71{p^gpRu@1-<=_lIbxk^U#U)zk}&;jo}#Wzzq{{byqK
zMfitQ)(+DD!$WiTX?u82qw4l>c*&vhvlC3ak9{Q!zFQKK;{qF5j(I$Ul}ru^dBVP|
zFRe*`lK>m)buakVLeTd__~P9P&j5IW(xfFGmg_Xwdk2;c8E?vk6%!fK@5A@DmK0~h
zA9@G8!r{&;Pw67~FIU`BENmI2%3c5)3p%wuf(^%L5-Q--36bMZ;T=1g0?XiTq0xV7
zutJ!=e*=6dEZsE^{w&VuPzQ6?1?%R+ltyhoKfsT(wceM)4cd3UG{YNp*xV~&6MMQ(
zeQ@N*q4`?)=a&~%J>>TX+nV3N$3A!{{(xVrJk)#-ZwM3O{|3uD-{oq77eq%=Cg7h7
zClf!zZOZpU$KZnCBifyC#|fHyOYr6A+ZqPo%iY=67U8<>Oi4qqhxUcpbvUrRpLHA-
z-%HiE3ik~S%}l`Wm8(sut#JPq<nwC@{?YM!9|g>QGWO9btix(5$_#(Hc8O&Z1M1`E
zf9~7{Ys`90Qo}bkBuDLrXQK2kF~UCk#BQ>{uH81OOt8%0;0h<aZCU9R3#?;lJHie>
zqcMruP0Cm9xgY?`WJoY`!<i2fb@|{)j}sF-u)%%Z7E#zNZm*3ne5azhR2bebqkBjc
z&Nugxm4<J(3%!trCwk{OB;jZB-gXCI<|TbLRrs5m*~lTd^Vhpg%CNjfNVPKDW#t@j
z3_eEXpl}R+oHOL00e_55-lhdJHirDth0DMAhv~x~trx%Oz&9lS9yElnIca@53-4zd
zs4#<z{qn0!;cH(x!p-4fCu2oxm_n9@@gmInwT#aazWqjf*aj}TY@T8d_b16(I>P<@
zl_9op!=FYb7x*O))m?XZ+Mztu13smH#>EvrD^7dC3w~I>I(-X1Ci-{CA7)e3>+yz}
zN^~j$;p$`4Cb!{oi9`ECVKL4_Y5}nM^_d?J;H?a|l%wHqoBR5c;O!lB%;E69E2*I=
z@G&!Wrl+vWdQ?y$JaE1GTOzFOu+gFz=6-Yfd^&7x`LE{%Os5p4l?oR>yi`;TCrAi2
z=E6>!FG{?F&##>>%!Uuq_R`eD2V$osir~0^UjshCofYhR3gGdVC(YX6#iiod3fOE#
z+h_o`WZ7`31XjuUAT|WEb4HI>!|p2;-0Lux(!WrW)AwpEZP<eIt=>I`m$1K|^i>wP
zAwIXh3@&hNJ-QoCj#1F4fy=wn6c4}*>iZ^0esfWeSswnYS#C@6s6Rq?_27;E0lby)
z<evWX`f%da%}-y$=6tVB&%wJyKD&_lEzBulBzWBa?e4qU3MVv3-?;=kZK^bBfq!Z(
zS~$SQ!v{ORz+V$4d#}MMd^>AD5s#D>-+&XdV-EMiRAu>+H{on0d!cT)vcZea2QIOj
zNdE@&vAEt2f^VLvxIYLtUSZpR5B7C04Vi}R%vp;f;KN^TUH=2~-fyvtftOCXJ8!VY
z@^ZEhB*IVlluXx<-~O0imIOQKly^}hzdKYclL0qeb$v|*|1ynb$bw@IO)GDK*~T9S
zKZlb_bM|hAjYNXZ7s6MC`7)Vd;lyauTKL@DJ@>7!N>iZp8`w~s;x7w)F*r863-+yA
zE7%5`yp8nhfolhxB=*1uxssQr;rSTN2{JuuyNvc(*!pROEgNk2>e;((jHoZ@pQqme
zugJYgWQGN1&j*uShPjMU9<Dd|#JnAL80;NUfHNZ%BFOZucE9dE4Uf%^NRwQhWufp4
zDX*wiNOI+^+c#IiRSWbt*U9#Cz52Zx_PA=fLW4Z(xAxJETTvgS<;g#fJX*SelM;UF
z)ReLcYflL>bHiP~2GvMzb+Pa#56sIZ`kLgk##95!aD+OACCP=?63SFzCU4C_k_SX=
z-)92%N31_wgatH8sZHUy0=56h{-gO9<ZlVvNAawY@^#lG%&g&*(-*wR{$nw5(er~P
zEX!EQ{vD+f77BnZ_ASJb{B3tVcO?8b^|l=aZ02<PUleS2;LRvKthvBDmjc^Ys+N)R
z&s-;()8HM<-m+wWhU5g*6~jJHe^QbCU&~^YR0<o`^7@ng<@9eR_8ly6*7qbS@221A
zR1fp0mbH=n-}UXnr4HC&g7OI|U&?pnNGI$NeSm}Pzd#n|+5y<q2sJTq8uvon5Zs(j
z7r+DCn?^@Y!P*oDPjSGuCwwl?z)ia@w+q0=4^NCQ!G=X^<$Q3mf%5BRn9ot{fEavb
z*Y?AdOxPc1UvP-PbdRZbZGsQI97~XfpZ9k~F~C{tP63kS_oAO17~!qdk0}&j{fiTQ
z(y-S!;~jB$oO-@g79L{RPb~*iXTOzJf@$8T|CWW<wtr?g3}-!VzH|uwDwP(j0n4Vz
zojM3#R%}(&g56nt^^U{${-u`d!wfN_`?X=IN3X(9!P#>3C8uDjju=K$IG*})f<DZ7
zsC3i}w$lyWa|V905N2%+S2|8?JPk_=7AakXi_PeL&cWtpp_LBsxpqq%bJ$^S@Ujyu
z>yc#T2x}}RT=an@ZmLLKg3tN39`=Kuo;my61->nLPd*%eZa;aGlz)}}ZhIu$$3VO4
z3NusrGCYMT_uhF=%D39nyh?-Byi4l?;OOBo#XLBC*Pmy8aO_^M$>;Fan%y~(u!oxE
zrE*xhRVN}G9=4|7sDj5DUBaHigY3T_y@9)QlCM93Ke0VJUJsW(dh1jGk6sII`T#qH
z|2mxy`{}EBe}u0|F&Ngs&yF4V*9A`|>^t}pMmt7sAIuQ0CD#g{id)z_3?Fo~;cS7e
zBP=LK;m9_Z#4qr!G!vgmcyVJ$z$bX&V!g=}e3JGdMK8R2;dRF%JRFie-UYY#$Ua|!
z73GR;zQJcgq{KFELwnBFH@buH$Uqh~C9Hq$ee)RHWs~Vo4<EYsrDz0J3*bA;0N?fL
zmHY$ejPMw<!j}2p*C*iE$#e;Jn9Y97dlu$fO%)b}Q&ao3N%@CU5>)%(YQCYyMR<`>
z#PbNe<4n=bX*iVWwSfk_@TzcS2|guUrE3Vwx!!7;hp)4k3K_$;PrZ(<!PYIO)68KX
zdo%GB*xP^Q<~jI*!s$G!3;4g3EHB%@Zw;lRDBv=g)Gu~$ev{bt&G6relvX!*t*c{z
z8cs7b$nt=BceI|}3YT{o2>8K@w24Qyz>%XhU4d|>)?H-|_&j}`Q79}~cv6rJj?43v
zxDUHj9!=weZ|mI2i-BpbZw}#sKb9X0iiP*^tka3WJ)cfcJ%L||znl_+_YU`#rNF<8
zpZ=1Ee>@(S$sz7E{d54HQY&H1gJ}$O^p)Y4?r-iD!wf<j<qpBqqmdU%;qjwWB^vOD
zxRh_z@WPcR2}fX_e7%@jINi%L))3BEw_<LDSN{{Zbqa1zKm5B1{y?>T)f6^$F|_{(
zbIp`}H-T%v%O3d*=LI}HZwc#)9<S|zm*1)#I|t8Pkc#hv53h*U*}`7J+Pj8f|ND)(
z7vYOyvNI#_%}WKsj_|mHp5r83tgpGv0cKY?q&Wp!eH6cc9gbcwsau3YH@~^=0{<6s
z{K*nLE|EFw3H!XYXWzKptcI$3f44hqz-zTg0W${eIqe4@9ezB$4Q_T7=D!K=kVtyZ
z3|CV#q}+z1DyomM!seGkg9G4KEw6dl;km~SG@)>%<VJQ;xK!Ed^Bs6tl5tTC=9gDF
z84j-=)|oyCvyAX_lJcUW=ieWK^;0$`M#E2fe2!_rn=U%|N5TigAMqT6yXuc_On}|1
zUL@(kSNfif#=(J#-R}Bu$M>KMPvJR5rD+>jyCh{7DWBJP@x2`!^Ta(S6|Qeif9D35
z?clL`0*7mKCV9ZQZ|4Uy;WJZz+5F%cd$sy>xR2eYJrLH59erH}k6j4S4TbL%h-a0+
zIlCK$?!%M&HVD3iP5b_&#lU|bscor(pPiBPiG@3>w%>aTuf>_HCc(v?`cALmh7Y3!
zDR6Vhugjm{les&@bKuaI{HNOC;rjLJ=kW2}cbX^QBNt^9%i;CD%EB?&J2X7?6+B|s
zpGAKW?L%AJx$EJ3Lv#;lVb=WV=gn|Lrx_g&JTWb|?=wvO-S-bCJS`<GI0Uz_eYG%!
zmof*qr$~O6PShCA7dX8#4Zr{1kYxe)nq0U>%Z&CM3~FZrFN}=o(!;LF1zqQ1n{tnI
z4|t&1_oOPEKDW=;3-&gWXw!l%yPVhj;jV_2l4Ed)#|vIR*oa0?P8nvsF%q2tA5GX*
zA`1^~<9?9_C%w9IKn$*vDU+&#y?lbl1mLSo6ULQrK*Nwd2W*#k_+%qoS8!ne9yq+m
z!L=Sfdnmko8*D)pIrjlpw>a>4D}1N^)$SJf$cb<+8n~rzjky;toA~sT0uG}Tl<$T$
zxx}yh!}g}1RxTZazs9{k^%w4rx9J&x+oc6N{=ipXd7U1G4Qpy%{DzJGBzq6T<uBO|
z4a1u?3;+FsrOb<Xzr*xvUpRllD>YlwyWyeGp@bRO(Iw?xC%j%y`FaX|s<45v4PFbS
zKl~SF-Vi?90v|puV!Z%A7n!{N4!)!*Hna+JQF)oZfj@`pP_MweQC)qNuy~E8KjjWQ
zkKVF=Qx4Y!+hlHpS6yDKKZgxxEcof*8_rrH&tP^HFD)8a{e5O$8ay)KSkDMI^om8M
zz{5p%e=)%S;zD-D!xMMh?RLN+FBz9(;l6KqMNIJTz~=QJc=Uag#4flpQD-<19?*Yg
z_#Zr;kz?Zx%Q!vw$PU+i6gp1MS1w+ei>$Dz%AHncSkdSFv@k3><@V?b95s3EzrC<-
zN*5bBUzWaFU9pCp3^yM$gx%gQaa+L_Va`oDFw@>ZR%dvud{6W-_@?ds1sC}4tAg$N
za1l$FMJD{x&Bs_37XAHCAsen6V)~*5b7qJa)WABS@d4!eaOSRA$ZPm<mk`BqII3Uu
z)*x(1lNCequxalz-{5c~sU0NGmffMuu@lb+%GVDbgf}qPShK;$=Vo3?!*<TGCp6)E
zb$8hWVXt%RBHHjk8_gqecyFLG{~7q}<XbCpJ?t|_Zv)u5>hKWxeU9MNl0CdI{4<-B
z-}L+9m&<V54QnAe__ImI2T%A%&iXVd|CL@K+Z&!<zwStuM`W~4AP_F3Rx(h4+X7ng
zVJ@^UcnIie!-Ff=&OCs(&yGrK!tyuoZi|B7m$d9V15-!HgvG<tPlB0G!?9Cu?GoYf
z(SHxf_3rS^t0Sp!K7ZkLb6CwaAu$u~xEX$xT;HBN(b@AHuHL6+=m4`Sj?EXqW6A{|
zufxas<D4sCdo}Yi7r07QLH7mBxzr@%1$(MyRS&|B$&)!wu>ZEl!aeZ3bg?v9o^w8j
zGrqxFgmrcq!TeDV<Vaqbk;Wqfmw)0dA^F-#B^oJsZpcrA<l_+$+n8XN8JagFH<;bK
zumzSp|Jkhz9$eqz{~h;J{M^Up$^2*L(`<&|);Eo}Nj}p!<@5>`G8CsAg88rCF{*}5
zKh0|Q!Q0DoO><#)cm0MRu(PqMayIO5@ZUC4Uh~pL^*DI4Z~fnv|IpuH=;@OXxcowX
z$5y!e<7SR%*hOHdUJO=G{*h1ebG?sK#9{p?O)-*Ni+b(SfOls4c89?elSk%`!XDn=
zjUU21m27tAuvYZ~6}f*`4xT!44xYJY=tt(S+4{QT2HZZVCQk16SF)3%-QaAGq}+J;
z?kAD3AUHF3?{zXg^GDn5gJC5)|CuDX+d9EA7S=nuQc23U|99`uBlzLPQ*x>B9{(K&
zvfzs6FE)_p19`5^%sFsQ1k=q-*v#|9{X%#b-yzF%SniwlrDE7HD}3M?Z1e4_)f@PG
z>OcnBe$FyIhu^^!za;pJVD^rSa-U(nIfvh*yeYHujt;nNt;)U(?p^fVGzTlsZdxWe
zn^pYKJlwT*!j0r6S{6nOEI8kYpXDRZD-y5$r5NEnwzT95xX*w}gdH~ainS|&C(0yf
zIALDV{t>djN4<pq9)y3jMcyF!_bnGbAA(bSzs!<c+-#SoA$)$nOA?u1#nM@RV>qXw
zfQ>x=h@DaW?>aoWX(5N?;ruZ(H{j`5iM=HE^}YN(3N{FqDJOZM$A?!j@GRRUS(0bS
z*~sL<p?CcU$?_T=`plFM2dtN#eGT_G*#y3WP2#d?t6-{tf%Eln_@C~;xA3|(Q~w8e
z@0yz(DKDTBTG<90EM|-}!DqCm3J2h=zdQ2k;F|5%?+?KmnUo^r`RsJn*PtnQDT{lC
zl&5gCww{5d1a%zA^H^V5o!Q1+I3LKE>?h@03{B-JVft&nMPFe#j?fZ%c(={QhhJd%
z+X4{`u!yG6j(&K-{N7zwxQ>Rkrwi676t!W8-{c%VO`hLe#%g+`;oQuS|2^+%A9E;|
zg`bE$yY&P4(DbsX4qRf?v6oCw$-Ib87Y?qPODE5B9DNu6U4p$QG-OCF=qmcv0p>e#
zzJTN#{QX+J;NM--u4H~@v?p?J!Y4P<&riTt3e!?U;iZ`17o<E7ucz;Qn8_zejy&(_
zU21cG3_s*%{NMATS$&?-6WFww+lxFOs{A=|^d(F?-$MHn{_S><uLd?q>I)>f{pq`G
zt?*3&Rvj`u=N9j!HrOOW=>MM|dA3hX!sl)~8<ITq9drE@95e0taS=Yk@TiP&H}3D_
z0?kQ&wl^z^32vvn*F*Bl%shenU=Ire8<H<GDO*awOpS&=NFH_|`=l<M-`Vd-a(~MX
z@e}ZImEK<@f9op6bp_tIiQkRnpBt7`FT;DdMV86-(28SG^n{B&Dr?C0Yt`>Q>khZ|
z)~a>Gl=0uYd|<Ki0D(?;sV8;iCd_^-B&!wfJCo&h8&-GJ2_et_ntXQg0WfvE!Pa;1
zV5coh2)vlIZH64b^}>P*ci}q{d#+c)|Lx={4TrV0J{y<A8ZL>;p>TTn@YxL5+4+HM
zG<>xoQ8^8ElwqhQ<r8W0HKO3V#}?({;A>kh?2UkR)}@mp;f4wCLN_>$W(RvbJXkLk
zeFKi-8*C!Kj~y}M(}9Zzo@tQZ>z-wx(Sn!n#l?{Imp!CdN$S^&oF%vW!iK%e38em8
z^2cvuZ`gih=_#q-PaO3AMAkRnqdbt*??1d@y5I+MrkBwsz}i_OPGo(R^jv<%!N2QY
zN8N#M3^-pQ?FqG0E%zS6SMLu>hr$nB)1Hy_^}H}t8UPnN@CzrxCYK}Q{9t+SWgW6U
zyE3BKJmA8t8x2q4nb&ITuJEji_RlA<g{8WmBV3nSdodF}7&&e2K>RK$I2|^8I6G<$
zFPc+tdIs<BOK7r$t7$t0bK#8|NypE?CpwR$6v029s7suN2k3X!6~Ja!juq*_-Avvp
z74XsipV7zR{mt6eWv~;|pIz#3B5nS_OZY<c{bg0SMaPSx8demIyr}>`ebw##7FMZ~
zI4=ihhonDw4Zo?C`5_L^$!=h4f;+Fa)``Jg_nHnhz_jh3H2LB9OPrOhuz2((QC`?m
zYpk~gW;k;-e-E5|PVV#<SX+8i#4h-F!@9>OxYdk)Clk!LQ+uHs7ST>v+ybX<+P1q3
zHtS0E*aZK)V;nUIf9;hxO9{JBu$A@0`K|j0|DnB5wd$<Y2z+$x_3OWI%}XxBA8^az
zM)fI}J^yUmPx!XONufzNT7h$R94^>vk~0hkoHxEQ4M$!c2>lNKyUr5+2eu6zVIu9J
zKA*H07GalRyV*{XU!@bDhyU0+-DrbprmXp?_Tc*EenpYAuUaf{9HW2>j<~*j1CO&D
zeM1McFHb$Gg->Oy57WTgME>!T_FbQKp7UGb!iB5Uq<#0@X}Vt|pFJD3owPS^_MN%9
z0e-q=j|6Ftb}=uCT*LflK5!M0_Ue??#9d_h0@{<?9>B*_F`PWiFPm}d4t%9jujV(L
zaF^HVE^H*c=R4URVGji7d||Wr*<Zcz*`3Vdx8dIlaZ+Ua3kd!vOWN1xobHyj!{@FC
zoOFdfm8`nS{x-J^_;LmI6F0OV$HQ&P$(gIL^jj&vI(R7J*LBjqe@IM#<`ukrTmOIK
zOOC31bR@@XcKT5^^1eWd+n0$NxYuxaO&7L3dG!X##|J*si@{447p6%bcGUT|F#OYR
z{{eFRKKX7tOWwcm$lxs`$M1a=sty*|ZQuMNDPNTLuZJ4mY2WQkmhb1rsFzeQ`@PrE
zWcf7A@2imUMH^P1GJSwc>iPNp!2=n=(#`PWJKP!5aDx7YXXJR*rYQ;j1HTK<YA4&{
zm1qIODE#OGw+`7}=`|{U$ong7K@;KRcxOAUFi+l(5xP~u&<9(5Yxvp@-*!k8?}1GX
z-kl-id6y;FWPgLd&7M%IhxhN$Y9Yt_rKaOGFX0CsTaS&wa<@93R>9qTpF;n4e7m(}
zlJ5b8K7By@3;7bS@x3hA?2D7g1Wa|*fH4`?xGS7aj&DDj&Z)=58uX3i_-4NU#f6N2
zZ720ojT}FN)<#BAaO(xH;91zaM&HaIcC-_sT82wQ+79``QNic_lH;j^tL&3HtV})c
zOpdqFV{)Zxu#@8*Zn8Y)zgX3G!wadK6Ug+oKT8y3ffEGl1WB&_%2%4a|JEg|_>|-!
z@|6FP_uuA6M=Hqry`y;{M#dAQ?6`ZFY(I%WDeVF{Z$tEZvVB|R*NyJOKi;V6ll^zk
z#_?J>Y_RWQCE4H4#8p;Z;e8ow%C+$4$?QGk`x9di_F0kRF)ueR(Fsocd##Tg4}l*f
zd>r9A?HmnK-sRN_tr6^-J5ocYms=k3^MBv_xz8i~24?$dc1;0!+W5&-a(*m-F>NFV
zFPlYec?TzmR}OH%JkKkF{&zfmJ^q>v-eNJ@LZ)ZOBh;`N9&4gH)&_UhRAke^{e4nl
zr2L+q$mf6YKCGwZG1|}YvLkQg0^GgQP)6o=JG_RQyubVKV2k8O_~ok;ROJ0#b(R7_
zGJjRN^4Kt#`*UJ4nclMqEzb~GV~ufhJ<NBVipm8RFPRD;+wbp}=n?Y%^mx*LnWVgv
z`As`pSor=dH<^FiX9k^%@EOWo>STToYUe+kg?)VD3(4^*P8oW`7-qs73FLgt`Jda8
zF8ovXj@~5P&$ZN}0~Z9>M3dt)Iiht)5&m6pXX_07J5u+pJS-%ZDm4Yanvp*$3AcyZ
z<dWkvgRXS1I833OI75yXN#;;-4w$#{^ks5<W^vJMXM@w*!U{=w+oe91&G2Qtxio5=
zKV|ke^-_~OZgV3!Upr-$TCCxHd3`zSDrR`zBbx6Ytn>TEz&7}bw137lJotp&WH+qP
z{5$v$+(^&3pA~*DwNCvP&Xy_7=YfqlFO1K_TQBB>@WBU#u3se6KR|6rEehYU?Krjq
zKY5~6BMvL8&Z=&~^2~nuD}MmioY&<i%S&;1=|6dRSDooo^8SAGMCJnwI$qP&To^#c
z$CG4z=Aa7C9e%lS4;*p3s{1tT`#UR>l)qcmTy}<(S1#ly+hcq3-W)slb*jPy3tZ@D
zdcgq}*4OwU1Sgkl8Mp>>Gx^sEz)q^7RX1QstsphBy<2{U=Lf?3QfFyIU`@|KyI^>j
zeR1PK_yN<y?+@TFU-^HK{bx1zrX~Uo`pbV_6@IzysqhG9qduXg49ASWv`d3Ej;TnJ
z<1cd4o$tBu#v_)@WW2--F`CEE;e`U@Eq-uH|7VtRn4in#4|#w8ALE|+3V2N6@@4Y=
z{+jIgm0CD+#ZUJ(EW1xy=M5ZO;qjgv|A*dF)-}PMA42lT@qhZ>$&_YdF@It5KL0h^
z`IsJ9LFUoq1K2KK`&u6?ZV+}U4vxES@P&dE=i^<zU&!=mWhNIlz&hsPr^)=dGK-yP
zVJf)*g#h^Zlui^ieEeHfwI@87z{to5|7j0Ma)%!}rb#fsNrTZmWPQJ%vdm_NMMnIn
z$oP-(7X-JH@_QOfLP`G!iz8k4cEVHX$&RPs1Pi+MZ7}7?>+59u@@j|hX%KJed@2pw
zDbrCLgZ=$$Im!OnoI7^K9FEoJekTjZr(e}M2gha5s2+l!sW8>q!0U~TyrlepREa5e
z@O167Cr4mCuf7;J_}MppYqI~e_?@qLz&i1?L&spQTD_qM@N*fq+hloc9sj(HfODId
zDaiPfO?4uL$?$bI%{mP@$Mn<v6qvqUKur%;5^|=?fxqvl=Of>j+8oF+nhP6jO-Ux}
zzoY);xnlTP`XPU^{;d@}Y~`?n<*b)Aymr4n`W5`|Qn0xtJkNj2r508Zv+S{lBc1qv
zH^91gXRFBh?0rX4W;2}qDY=yFkKj@*p3iXaQ?XcA_*3AP4IS`rValC8@M3p`dmsGp
z_}v9>Sl8LtcmQ^BHFqKVfAwsS)+Fo~Yw^GDgR%8y3r)c-ev(CZk-xT}Vq1qzi@9%*
z@_BE2mNu|q{Vk?v$nmsf7&OQMUn_m$MsnR7DHQCmUijx_GQX{K<MSeL!@-9y$@2O|
zZ`dUahn{U#A;*uby8LE&SUSm<ii|JXrKBTv03O*?9z?c}FTER=28_-ZTIb*w-Z9py
zFjwV=6J+}rXY%%I!t&)DQe^x8R*~9p48E#kR6_RuU}~ki9{l-SN(|Y*8yf55kHaA*
zJ-Zd)Su5?GhOk-y|MCHNZM*S-Q?TpM*_-72F+cp}`58EnC(S|(p5`3<cp5(VqwgCZ
zJSBWa=N$Y*k>@QBJov}*iaGr0yy;PLe)}oaIeGyOZ%q)|1%L4yptFXLoaxBf3eT+S
z`Co!9`geqGfx9~m)9m1|7G0)IFhfW!hZ9U|dv}@wHs085=>R)LtSyrB`+*PQz1QGs
zKDjP(eowNMS#yTxES$|o;bezMR}VOyHcM$3{x32n&J8xn{9e-w&su4Q1i_)ENBuit
zHBTM;V0h&({RZ;A?#k3`y$m?qFgbwaOU&_3Y4DWN5KSA*(8Su-1iw_#ad-#Y%qTo-
zhAC%gCdl}s+M8|*eum%vx9vR{e>8ADYf}e&-}e2{&oGbo!p%OoYp_-5BRm_UsW=2X
zX{qphhocJ~6_3HSGRl->dG_}-MohqAI*Yf);b40<h8g($-RW~=eOb*;Ow7WWY8icG
zdt9qr=%rxC^J;up(oa}BLh1z-e0PT`+Z_Dxc4r<ltn9t3pOh~<!WOa<HY;sBL#~g>
z{f?X1;o{TJ6c^xH>+<g$u$r`aIk`Tnx@<Ws0Pom)D2`koZEDXb3c<8#zjl)S=W(Q<
zSR6hvS-(K`U-TYhCux{2mwSpCzAaHWp#Y29EVhyBV^BGL<3V^b^XYMN{A^USQ9T0R
zE_2yOj-TC;Z@Dz!lt=72TyS1QSBM#0W8wP0^4_B=m(1Z!+#F5hc=XrQ|9TA$=Qwql
zTu<pz-j>{e$Ep{`$nndN%^M#DQ(eu!MDiekH1`;|WV7D?@{P0$=EX4eoqBtcTW16+
zmBI_0R-@$iK9&tUpW#Or<LyXZ&3AEQ2b}XyYJ}wdImPd{abW*k85t+*d!NoBn;CX>
zy>XG0H}EXvWrcZXyEVxA9!YkjV28~T?cR{(-w{;m$p>3rZcHKTd-S^783DMo%!q3*
z%+Xr&NetfJU9dqAei#^3C=LhKDS4Csuk)#Pkpr;g!Kkz3|10+~fnFZ2Zsh1D*ONnW
z?l<({t#4^PN%<tU6NdWmcJT*`<b0qdJ9P9Mtn9>6POeW`*QxBx;oin@MRGs!!20O7
z3$R;48!K5JI!QZ9Yq-`#JBcjsW8)03OR&CL&@FPmx2b6Sr47tW?|qy6-w(}l$~nSb
zze+EX`=|HnD{EGyd|S9D`M;$Ka=4M-zmRG%?SNT}c@LB2X{(RFO2*fvl9Mba)7zij
zd4i0u>tQ>0kmLv43e0c8$xX8*B&TMXJmd|V>4ojKgcD?R8_9UL?RkC?b}-em;H>j-
z*@e;~Qa){NO_cOk%^!<Qy8#bqUH)wVQ*3=xcMbmb_1jg_ANKf7cgcIOHlxEf(tp-)
z{>jN;_|}`@C^G)7qR0HRXRvocz`PXvn0jklE*yMvqq{I17*byQ0{+P^Bv1PPMkuB|
zsfOh$vPww*-~ZlD`S-xzj@8MMoG0q1Wgi?fpjJrotM=7BKj1AH$`Pc0FuqDvIRa<&
zS22?Q!FzQcNKeA?OU099{#$aRwok#VAH^>z!U`#U^IJI4zS2B0LGrZb=KmOA4o}A`
zWcku#um6;TXKqI4k@0SyRGwlu0E?~gNbZF9*0rpv!+o{YQ%tbFaR$c`I4e-+8ZEs3
z%KV`=9JObs0X00+x4&Eyrcg`$O8R40-W-?EhqeFMl`X>_du#OdU@NaBg<1GK#g!%_
zm_fN}&on$QulCabZj{t{O!|YbY5lS?gF6@)ZjQkATWbQ&!27KdHj?pe<4#+zo`<sy
zO@?}4|1|o;=I}*bk1;ZStSwze*#%fqLAId*cHO(IK=L=Au63lt>JGt0ByaE%FHMCt
zzoom8>D%85eD4JNzUP`I)4!FalH&+R?Va!>>wCiH%@;cOKRTtklW@t|+a)xxP18&)
zS^rKN(W8Cn?_cF0vyH63eBvL09=PPXpcGmEfcrPHKf(=TOw0~2O`zr8CfLSMc;*VM
zu(>mh<b7#Y_BY_~xpxBF;Px(GO*gpn)5^v!SSqoq_7<$sm^nnoBe)ei@WdBhdcbNv
z05^VM-5m@IcfVF5%VV*2`D+OLTr6$>BwX+|PcI6t9Mkyk7yRh!X2w|fuOI)`Rd_~B
z|8^4mA-{H#jA!ugQ{aVUc+On>5+&AGEU~#S6ZRjd)7l8<&{J1u!zSX=^<?{$YUs)q
z!jCEI(#iJ8_YB!l3=7Ul@G`-n!W|(mU=Frd6pS#H;O@)S@QFO3TV#AzpM1sRJ@8=P
zfz>VW&!!O3KDga3(VgV++{s&(;av`w7yp-=Zuq?dKb~!IA^Gwx>JNLk@ciFsHcfKg
zE|)wu_>ESj1Ie!o%qEJ!gVJ`Q+u@_uw%%f}gUj2@J@9jtQHO)DqNAk^DKBPief$u7
z*x|)@4%p@nXQ=@ka4OiBj34_nHzV2z{w6lC$_3AT8Qx+J>zT0jk@D@e&c7{Sq0f#c
zf^h8F!V5OA)Ts<PewcIH5p_G*|H{8&G1!nZu=*;zS4AvJ1itf#HPIQKT)D|41B<en
z@AQC0c=P^9!rRQ3<~(8RTdS88V0L{a2Y*<8NkCf;E;sGd34{mcuh%QXg0(#FLSU^o
zkJ1mpHzVs)!(j7sV?0M;olA`DF|esGErmKPsb$q02lw54^3M>qD|lv*46AK>(RB)5
zuQr!SfuB2VGBSh19_Hj`!%vM_Wy$!zyMO+7`5D~WlPh)!-eO?;qXcG`u4b@<KZFdX
zRKT38TAMszfx!K2weahAhCj%7#{q>tFX~`*Za$N6__T4q^aq&AT}bXee4u1&(HGc7
zPI7MnoX_hf(g$x++DDrYZ)4>CIS2=j=545fr#6RKjln0*rVUiXB}cd^C*do><_2G3
z-apZv^Du9io-`TnLUY+vaS3K>tP>&UBX-#@MH{%$f8<ahJsIzUnLFwfH5~B9{1!R?
zdDHA{-U3TCsF{=V-_r44mzd$YgX15`c;dgdTF!1Jzwf7>`wvdY-0wp2S%JYHa_~K^
z$Nxy)6STUCoX?}oLn^nz&(>|%wBa9neyPyHug(N;>cZl8zH!sTZx2?+8^L^DN?8=}
z^Zbuhr(t1NsbDHNY=KsuTn}rX-eFqB`sn*|oFUgsO$(<svOZd-_fB4eInrJkll2uH
zeC%=qPPkZfU>VkO`SRx`yy?fv%UO7J>j;xCY%BKt<|6FwcZx0oUV6(%Jp~`zZ7CcD
zH{aS^N6J4w)5?<uUzb!r{tNd1*`t;LtMA{_LUP&vie(z%P4(&qB!73I#*o}!UzjtD
zBHP#Vi9eSr?k6-h8f{^OO{eVF55upMDjithv!AsuljqBO(G4RU@W<c6+T{7N$bct^
z51us0dPT+`*!TCq22nU+#rH9(zxZfmHYf(ys$}mW^%wiT-uZYCzIs`=lYH-jZOiuv
zWq4>Vt}O~qq*>j340evT&X0g~1+1I3;d55G87Xkfb3gS{@U?4Bx5@YdQ4UUZXJEIq
z#T##6mp6|NTf#z?C5E*yOQG$c4g5%9ds8?3tR&9F5k3;wnAr(Sw*HWJg5NwE;TwV(
z)LDw$U~RcL$^rPDpiQI){Ns1=E%H5(jp<*_N?~J-%4_8N+5_CGO672n{fDW3IDxe?
z^8;)r;}}Aw&zK+{+y;kA`_Pi<?{oL|9Do%Kec$!Mq4>Dh5Zt`&fyyxKsC7(t3hq(!
zSsR33#kTC5fxlLVc#!XtbdJwuEWxHn)=rb<aoc$7&N6(|obJmXIOuK0MoJz$zaO|!
z^c(g}+y9LUzCL|RoYbc_SOtG(hUsqU{F;U<M7T<J!U_wgZ2!T(1+@0D!(Q1%8h>G>
z@?l0!IJ&mtHTnK?-iX4+eK6Ig%ePjLZ?xzi5{Iq39GA)WU1THZOb@`Jwy(R$_giK@
z6)4KX&Ao38N&WAtTYs@KT>5gm45|MW47eAq3b%b^eonsM!bCk1qz?x=J-tl67p?R6
zk?kqCRW*5RC(J=Tf5sB7p5{m+<(&o!6s=)tA6D)?Fx^|(3=epHvit=zyyfX?kQe;R
zxbOg}j}CA=<#7+*5<xx30zZ}EH4P;$Uv=byU+%9zoCBZaxjsg64vsXgJb31?tu@JO
zCRjq=z*?stuI+{!J2p7HgZG{Y^5B7=&4=lKhvmFNXGlIwd0T22_P^wQh2#vKn^-7$
zaXz#<JVJ6y+RcBdU`8!LOOnq$@apA(r?=#Fk=*?I{c1kA`sV{fk_U3mCac0#o*m63
zpNrh#e*}JdqVyQauQwV^o`LUg+VG7PzO3rsY6fc+_nzg0nJWiG{a~47v%>$)-<h2;
z0G_du*++hVL`uv35p46Gy`KDj>z{}-32>{;j4JuPZ}Kyp9N2q?ca0OaQePL#gYC5!
z+=bu=3H)(yVA_D>?PPjCkNA4LgMCV`h6%%x1+kYu!%59<ngVd9^2+fJ_}&Zkcl%(f
zeQXuKVC{E>XUX)YYwtdqgfl|Dx+Gw|(ZrBdSVG)1N)$e8x#P+@JYK}ZBnx{n37%u*
zLw);&sU}iB&pAzn3C>9`(U6BvSm#%=z+Zmt<U0TxKafh;4ex8|N+RQJ<YyiY6N1@g
zLeD6|LoYr$3d5Ccx*ck;tni<1WjN*2!7EDeca^{@RoF#yd0ZXtU5FPnfn@{V`jY8U
zFe}lS!UCUft&;DL)0m(5?FKsro^mGnaQylQ5BO{o{Upi%I&P{BhL3QVWs><(M^`<)
zN6fj6PY14ztGS&8r&RmJlH7eT&^8BlDwf_sa`iAzoksW_=Y=~Yk6X~)_n!QoVLKJc
zpXlu0J`QIcp>!j;UkA(F1pHDUcUBwz^J(fUEkF7<ik`J0`Keoj74-0TN{a6!*W=Ae
z6oTJ%I2)0iZz}VaFkF<v{E_56@)xX*!K-RV)Je`F<fN_zi%<{Mki6hO&b_wqvP-)(
z$<+nqH`~L<MeOrQzI3_D=05y!xoVAk&;5JlsAf1k`1XW{CQO%mBE1x5u~Ke41dGUp
z-YJJmlv<CF?YCJ=+oK-Nh#FW`g~$A9W8cArJ}3Q1`xRfweTrUq{ct;r46LNC&eaV|
zoYqJXfpa-WwvEHJhBAhNFeC3n@lm+3G`owmZ~b8u;a-5Zp1c=9&NrEXUk}Z}zm_Rj
z$oI3>{LCdN1@QifOh+p@e{nld>u!Ye1oaHa_oxEb70OxQas}t{HJm?>DffKY38$F+
zb|B|xxeJSjMPZ8NDT*n$dgcCEVOUb*N)S2UH-;;9NW!PMURsgsMODS;S#kJZo8lO`
zp6p<5I;#QS*J1G{*Qfb#6VD^?t-TL7et^B?{>^H`jmceo@8N-?ceZK4Vn0kQ$@TO3
zsh1Qcuz=E+J+I*5j-y=0utNj-k-<_2`(n*u-mLqc#qfgOg;FzkC~n(^Tv+et{61^=
zd*spHELdZR%KjXD`nC3OEW9Zu^qUR*U&XE37`TKck)4zeEcI^+geShR$6SIbvrE#+
z{lU)0KtD45V+<8d<bEV>fSukDzPEa7QU#Xl9=FtkQ{5Llg<zSu;EAJf*+OZOFnsPr
z#mz%-*vDP_H^5&h=oi)DlXYg>Nqt<5+?t*;yyje=^aBnVQ)?i<@6e$4`UdxYn;0hL
zZ*2G9&<$%gikKgVbJkz?euY&H+C9nk%#=8Iz7-a8+A?<%Ryp9VMCvm?h7@emhvQpj
zYTv?2gJZ#`;YYtkAHRkpL+)i5!3N{$Je6?3e=j-7_O0aUUn_&dPgy9D^>6b(?Vk@b
z>_E3#IJG0hA`kvNB>L$*yd#n32N{2>uhUT54mP5buOZ`aT@kDhBiqx@qFONrZY?;?
z7!1ElGRY<RCyu76yRiL4mmtYGj+wS+!cJ?lu_V9qsk<nfSgDYi<mus@sTHu;yZZO(
za2G|!?H91-E0v>U`EIof*>u5LO^RhCr#t^rvj>hSFOVX+fzz`51pGxYW+EHT8i{55
z1q%$*T`YpRXv(8zVXvrpl>(Sb<BaP(tlVo;O~wmz_~P+r1wPoX8%MTJL1a_$20`3!
zib_0afbDu@*jZpLo<?4>eT^f>)_1`}=l3Ty!K+G_2KU3)FJ5CLxylZ)HyC)bW-zWV
znB?0{l2eRG?%eaY7EU_ubo(^?Fi!az$=`{5y?6uG)L8pQ@~}fCnr<-tc?)xr&lvoW
z4}$lWr0uMO<Bm761;g=oslq?NnODC>J%CU0BwucZH%Yg+M!-xlYonjx;{!VeGhvIx
zN)J-LEQS6}Hq52EbAi<7DJ#nrRltc&LU|wI@Cn(N7w}@Mj}RF@ZH(6Hb`v~g=RZKo
zpAxW0X@Eb7h*^{AjqkY1+6F(%%Q{TvpTO+8)(*4Mu2+)zXI~Az(FF(g-iRU7?=rj<
z`4xV3frpi>AMbd`<^h<>;Ne0&JY?Z3)Ca#+Rr7oW+wZ;m<Oe*gRbo^PS4nzTe}nmx
z&i53<cO`vgCt$(aw$ehFmieON2<%<Dw<a0hDP}qP8)oQ;iBE#nsST)p!JMvYTo2(?
zBW<r)_~G-sW%B&vR;w5{4eu>G;}ZgN|9x^=ObFXYMa0w-{wCpZT?BR??H_Q4)4dN~
zP=Jq4U5U8@Yl&|2lY`F;@UmWnPu{I_ItsVlNpC+7k3WkEQ-@h<&5TI>rUJ*|n+EWa
z%^w*I;f`|p_>=JKkl=6~*jYaP?s>Svb^0h7FOXZyA;SW8R?Tic44XWuVY~sCT@W>w
zhtF;H5xEB2oE`lp0n5%*M%;yEc4}P{hD*wv^Y6f;@-$1_@a~eq#}8rIp#%A(esN+d
z@<lW(s<$9b>K7B%=dx4b_=meENd01KK}!8o__J=;6;i)g8LN9Z8+H^L(WHhM@p08m
zc&~c;2l9Nq)m}rp43@Sk4Itx1_VN9(DS;&$UFoLbzfEBSRdDJS&mWWU9LxTdN?5S#
zpdERBkDhCDc@2L)pmc;hzt?@b@t_87w_R@_^@+11473e!_0UR67i@aEfUgc#bbBS#
z4zoN}O=y8HZmy(kg{#tr%iqHmG~RdWU`7FFiBIr{;%ioK;kg&g$J^m!|H+NLfcu@}
z-*&=leWGtF;LY)hLmlu;>eNwEf1%oNxNR7ANordq<8w;c^!)k`=jKQIk@`x})!YiE
zy?CD7KA1wr`=m@e(7_1HEoTXl`ViCGJKnLw&c9Fe--WO2e2~cr(<=QRNB14i)%V8%
zyd<)tC=!Jbl98>9l$Feo5wayKlJzxHQdUZKNeM+EtEf<DD5LC<vbQ8Fzt{Qw`Fy<J
z_k8Z>I``gl-pA+O%csfvuXbv7+M2^}&W9ZggS~Cs)h*#YdkXVNe)^0(MKWyJUKH#H
z_r<dfrN9Cc?aSo-RXx)lmRazCx5HQRekygzD!;ohwVJ9Ksn>|<m^QtI>u!I`aD|VQ
z-X5!kCCy8D?cnf<lKKI7h%)kqIb3#oWUvpe>2hKr^(3kuy+V2+oDb|JV#i^n_zNFs
z;iiVv=ZE2;QmIFRFeO(vmlRz0M5m4){`LLseGxcx<f4Koyk#%Le?stoUN=lcU_bT0
z6g=>@oVH^M@VZP;*>2eW^m334d?oqR8+uqwmUZC>yeOQQN(*NP2rwUpX~RSIP{0E5
zhp(!^s$wsf*HIt+<ajb$74DgM6ubyCmRRl5f=5aQPA|Y4q(cmk!$tltY=6QVGos$>
zz;P;bhkw9^n#n`j@EfhZ8dBfo8cDY_gndM|rMJWW+g{$%g)O2dAHIY4G?mkvz|-fr
zL+fDgz;-o~|MSk$wPKjk@Z$?J*yPfF`)BaY?cMFBFw1kcu}37%^Wmg5Y+HD=?jii!
zZ#dEdw({X>x&=Gl|GZ`k-*MA?bQ5lp>qR98_rpc$1LS$R2UA|hIm2^wR@6~&e`;5Q
zJv{0n&wL5C*jcJ{p2UN!$9>@Z@EY@TaK7P5kMl5(Omd4CoDu4&MV<%TCY3$q0e^jI
z_4zEUwdbP!CAea9NUk+}wkSCCBJBFmP1F?bZ9VZf2v(uJzJ)xG*m}umdm!w&HQ)w$
zUhxn8-O=H&LhLO^ZTK54Urs1Iyc{v13frd)?~Z~WB&NMnhMR^a<gUO?_Sdy#VYesw
zPh;Rnj(hv0VZ9rLAFsm)^yBjmz*N!BM-$;6d+tXF!w&z>StY=ms&3No!qSp^za_(E
zIa!0`dD0y6Jab8~VeU<*oiO#o7N<;@wlGtb4Zfh<5|Iw?W{a<9fWrraR<hwP>6CkP
za3FKwj{ESrP1o@n0o1d`d1CTlVWor(8{rjBu6GaN0=|p1Gk6~M>uptv1#pCw|IbNy
z`;JP}$FSEWSLa_a!!e`J#jr`!`J;pITDR`_Gq~!6bpv_6_Cb|jHWhG5)tM~veC=Sh
z?&Rli8<pDQdf4Wj)7C0@;-YdSdA@gpgssR6_`ZrHT@^e%KAu%W@;{3FBF`INAOBhX
z8m3s|b}52Adz_>iV4eGHYER*V9@hHr;0amU#vFJysjvPMd}?_u>j7-@>g(VK*kNH-
zfIP4LBA1?7D?Ho$V`D0u*{OE18NMLV9+?2sc~nkxz`R0lt;zG`XRDuVX@}WoDt=vo
z%dc|<e}|_j9=y5?Tf1*f?STzMQ`CastKNakKZz~ExXAPG|BSgF_yO}z`rh|~!vxyy
zkHV*<ErUGZm*TarhT%IRh7?Zl(+B&cr{UQ+sUCZ{^5`~$NjP^x*v1m(oc3t=4NJSy
zDVW2{dn|v>!KV*Uyf%QFHkFz!!@C>4C+oqN8}DBH3qP6qilHy=mxI42*5SPD!oSC0
zkz<W~tMK~a3<~o8imX7^)J?*;-^}~;NWlDO$683fu$kS^UbwwfRFfL<8b<lo<ozyD
zdniLmzW7nW_l$64g7P9Q%)YpCpB_FJ!gi44(=ClYS;6}_YM8ViFv7<lzqqml-+TOT
zJBdf?-AZkTDfjJ*Ch<cb9DKgQORW^Oq&@HR2EpWgLPO4b<yc_<;k~EH`={8`*F8wS
zhzW!3GdM$!ZI~6l@uf?VydUeIZ<jHNGw2oS-GDc;4t^x@!MH#n^1i6z=g$>M{Q2_}
zN1R~?#ivCizFft=(-C%Cj5Z^m-|yWZbqHoX<n@IaPNh#`l7K(td0A|Mn+3EUQN!KS
zsY4s!ZJfSMG;nE$+&cODrJN{SFFB3hPsPo8FTfni(VazbmtM^7G5Ejv4U56BkK||$
z=`XsExOa!aHlewPI^jUml;<Y!gfz=5(q9FepLU;yKhfRa_7T>WHFZ&jE3CI=)WNS6
zo#IsC-<(>N<b2xSs=+D`f9rjrM$R`mVIu`a_=?S<H924DtR!Dc!e?V#{(nBdq?I3%
zf@d#@DU<Wxj-thz6Ba*~|DIf57Ufz}xL|gsb_H_%*+_l3VAT}=50Pl`?iO4yB-Qp0
zcFio5A=g7Cxm&|M@Uvc}nn;-YO(a7f%sY|#Jpz{Su}Js^A5Pq2M6Q<t&F5U(;M*}O
z|3YBuRi~(XFk8s*RX<ov)2Q%1OgGE>{Q~?sqVe!G_*rPPlPfH8roi?(Y{gi7&k2@I
z(K#OgXYkpJ*ubfSA~%EJmsh(rtl%$w%R78vTDsU)a(|=``g+(GJ|Imya|&)`%c^mM
zWBFeBpM<-qFO7J>&)AfbPQXG+N6$OK!k!CzkHI@4w%>Gtj|=%9ISMbBe&2BxrlTD(
zJOuBnxnS!6=iK-9kbt}N6h<uJ6+w{|A(-1|oxvKu5>>ThKkRz%ZGs8R`|7{}4p^^I
z`MWtRxS?KiCmdNwX=@1kJq>Q#3hys|arG2zU%q>m5nhx2k3k2XYHJUmhOfqmN$SEc
z?)%@_4F4;fEjtc}ib(VR!+6TaJhN8=7OLr0T7}~{tj;RK;$<oCf5UU^Tdu0Y#oN?}
z=iu^-@95>>HSf({<M8J9E)t5c;hoZ$QTS4wK$#>wY=4pc2V8QlzDEkC(-V>IhdVZf
z+Z=!=q9$K=z%=W-uN;JJvw3#3!byDEtZZ;z(D=O%u+QT@`JM1P-Gb^yxFjs;6%)z7
zbxE@ZzII077c(p)s_gI@4sYporh%7#ehqjAe{h~DVSs7QJh)Q`|4ho3+YHNn_TYU4
zpE4A%qK5x49#eh@AL8yB{AYsoj0xrs8E~$sDa}U2=jO(S(_oD|G%<e>|D#ypbqjv8
z5>~tnuW#VqbR7;6oznUOyUM6sx(UxH`t56i%}(&$iih782;{wm55H8QCF5t;j>3pq
zxW<lGAPGKLc!uT$yqi%mjeP$0--CnYu(B3s1^N7U2X8t(h1m~?iDttiv8+c6;P0!9
z+GM<aP3&#`16Y=w>vb+XnXi_0AI=I~>B)gZp8e)eg~MAm8<69{ui?2d8Lm42Dmoty
z&S<8+3O5YC*-#8`I)vZ9!|A&+c9Y{-7qRLb1j~O&O(=&Gq`cJvU<)S0k0r1=&sQB6
z_;8<w%1d~uSxe9f9?#woK=Os6^TkbI?pssSui!Uw-1Mhlo1TaJNxs{wU{*DFapHOg
znGa03&Q7bq{r*lb-oOT5?|I9?``>Dck^ZnhW2>$VocMg*nan4)ReGB8!`r_<HEe?&
zLe&{~U^{`U9xZU-&ZT&Ec++Cz(HWSw)qiCxtW|FpGy!+r8>HL-%XSFO&BJoGihXOw
zxIYNJ6DIkN|FTCWU}}qqyNmGW>Xn)?SW0Y97s)rlI$tN;Cgx;M+N;T+o9l+l5>pn)
z`5+t_9`y{av7ZU)hGXk^3X9?W?g{N*VY6Y;!zu6|1IZJ;@I%9d9e3cfyWYGa@zIZ(
zLKoo!Q-+5~Tz~yBr8gYCcP59#6?a+hFo2^5y*Wwz)wbGMT{tV0JC4MqT0AL5VVRu=
za^As%t9NxJ;CFj@>gwREN1AQ>;b&pFx>c}ULD!NnyxHKs>kD{fG4wxPVs4SYq<?T4
zFlO(A*-C_1i(m)262aZ@!O4=lc`);c!bxuUmTpxSIln?KM3^wbB@8DVGU5F<se-n`
z|GG|vr^EU(xf{2@N}GomZ^IY!`2}cUsXM=g6JfW>`uvUX(Vc8ZFT;7I&;M+O8>2+5
z!{L8LMgeQ5&|lgdW9;F5ChJ?N5dUm^J>M4Ite$d<#9!QfJ0nf(d*6q&&tm_NK?*Lv
zDZ5PCFAri;+yT>csl}2wM_b0lZLme4!<{8;|A})S1wFiKkWsY)?^m<)rG&LOIzD&8
zN@@!fYnYF_rfym2hB-pk%@*N>?T^E1;5e>3L(?!d-?yAPc$e<trYZOao3+SGnAR*l
zb_kaDzpP&kujwv4{t17eW&HLWc1jSc`wE*DYwxLque-c{*bY07)}@m6bs9&iNPWUk
zcH!4Mco*;KZc?AfRq%Hq?cF<=MUx9Vj_3X(@sG)S1ajboA41_I-lVQ_<PQAdsL&_U
zo@rdY`EB^npGW%S^V)+<hht#59a$I2{!SnB;E9F{<<f%lVeX2}1>x}CkFnWL;KbQU
z6@S=}_P2aE>?jrg$qT+_*JpJZJ|-+W?g8swGWi(@f9`I%=nNkgI6@N)58U=nbc7{4
zOKx0*na6Bo^x^er-BpsWn#Ooa7p`Wl4e^FwbxAM@!4{(LWy$tCN@qj_;fIZ~Rb=~c
z$#}07)Y~Fgqm#-0DD1g#bPBHFwvyF=8C|w{k@{j%L(h9XnC|XcY!l2McSM)O4Ps)e
zpTgq8fdeG&)OMw(0G=G~v?p;91!1Qg*n08IH7!_TjX(Q7%zJRhO*xontm$AHZ2$Cj
znF8E$qy5|+ctk+^wGceBA!3o#S1ESA{V4(qMJ7w$fKRpfOzwg&1#7*!4C}~@F>}HD
zQ$yH8;KLIW8I*9Iq}&5i&*kVhtEGaovahUr!AgF{dXq-jzc+6$_`{Z><HF<cC8^ay
zQV-^oNjTI6>v>D?{Ri`n@onvZ5AM)W4TOttUP}B-;_?5LhQkFmTRc9&H1$bsp>UzQ
z#qT=UFR)I7)Qj($j()Czw;t<pAoXPC4~LB^;T9>%?ihHrss3O&tP{_%bRGWwfU~3!
zcBndhJ`t{~yC3@mZp_C*70k9_Y1;!>X`APIGQ1)eG@S*<Bu4Be$FI7x<w6Slmj1U*
z6@0!(vMLt7MLl!$6`X#*Q}zygLD}x-GF-d8XWJFn@QMGsRd|EDe=Ny={P!l$HuM*M
z9kabraH08gN>(^Jcp)twj)?oDLF%vJF&w`l;l*cZ4y68?@gdy#KiDH6@g%9g<{0*K
z`@<&DAH+0aJw2b)Fu2;IcmwIrf<9~1Bz`jX?++*Vo<mGHiO*=(@ssoG&bGeyzHmh>
z2TdG&o9*235IFnKhZCfpN%PtCh7UX{<=|2buPHP$pNE+YzCR)LL#uu})3b2o4a2xD
z*m%=Os|);k_gAaG@O*`)5{dukXsWslA8l@^B=MvZv+1OM=wB_MZ3o*_*u5b2!#{fY
zpUq)!H|G1h;ru4i%O-HLamedk@ZU$pG`g@VoBknQ_*|yP&l9jpLbd*0SmpbIlNu~>
z<Jwz6SYf8{s49GYko_4u>>~Qv@t+~?Klu)aS>RI?j5jtQJ}EV5M)oJ<V+`|O#HC!s
zhqu7q3k}lC@ZVx7p3U$M^?IdI_?7F`0&@LrA6T&)hZRM(eq4c#oc%_Bz)Ov#KPTWL
zp<gA3;S&zWDaPUGTD|h`u(oze45_D<DqrgDhj%^}eLMiO?wzygfGtM+dTZgz7Y=_&
z{HZbL${RQ(uE(Fm4@sUDA@%DoJj_f3@UB7{EmFVMod~;0;+Maed`p2%DleCJ!R=ca
zev|9%2A)5PEpS$bMMyl%ckH)K8*F}`Eh85Gqh&kv0gg_06uJt_*ILju!LL>yg@?i0
zCA068z^)Z17o%VayC)ZlU<NlPR+2B}&ha-Fc6NArm9$s>Voz%hoKxWb@CGa_9AlCR
zm;IpQxCOJ_jF(7<?^HL++=OQx)=LxNGom*6WdF6t*5ec4;q={&Wd9R*+}N(cE}Bmj
z@4}XE&dpwdGftc{%YbRmbom6s1CmRh9>D55zv>0S@7@=U--oT))xLVeO_K^%`7q10
z!c#AJY3fM|xj$Jca8%g9B3}wZOW~886z-O=5|3SG37n<nHE#rGq*U~G!pq11%4xyX
z+&2Hn{ZY@swOR#c4*TNS2VacVOjd&FQ!mE$!V*l?yJcWoVXcd#e{61aYn6bxUXR}#
zgN+h@nh3!{9!363@a{iX82I7mA-Z?S{e2V7di-wKSC1x`3jOgb%Pn<wc%bKA8W|tx
zo@e;D6@DPJ#6-pq^m(lh8DTo@xC6BCjME8WD!8KU$6aQU|AvW*66T7!RLuk@|Gau_
z#Q@`%lkddI_$0$r(|!p~j-GKP;}gkI1-B7+zmIf32h3=(tT6;XSbM*=6E<zU@TnJ;
z<fZrA1NWF5eAEr=ZaMUr6ZQ<`dG;P2(Lc}42e;7lL^r_FWw*>oe*98XVi`QiSN}<X
z#4ks>KZj-4Bl&sYnZDW8RFd!aBzZr4{N$tdWSE`eXc@`>uD{nJ9+oM$6FLY_b+<{!
z!b%x2_QEjjfqJF?;M_}(IwWAq(n}nHaO+paKVop$rn!s@FolVIj}jbmS=-1RjuKl~
zIt<5hyz6j)4ca%IKL#gnb1Sxk8IL7gI|^@P7?rVr=>^l)wBWCMV_3}KjY9i(X~MUH
zX_E9|kC);bO<^~7trI%%Px(qNW4NmN-4`|Z^jLYkC0uv(Y`!YIWyAS>M(~Z`CY7Bq
zPkm6)3HatUQAZBACpddj0~WE{>p=rMMBT8~gTuLNwW#5}16mbif0#@~J0|t9Ua=@B
zVgSc4G!>1*NqJS8B>(%Qy38P)w|4ub39OLwi+KQURuk$v1$S+-y4?X!l{LSzgDHmN
zwA<k2OtmZrn5vGoz6UOfdbu13yWe?Z{0;WClkfcxrq(&y@*UQzr`L;w&-gYzCizQk
z(dQ%J)dw2lq`m!e!TDr<c}20<rxBLD#}q^6k6+Rc&NjoB@-i+|!h@}}4?n>cf)@%(
z;WON<g)iYBE8=^r;kB>-MODHc4^oei`CsxLO2#7C_4%o1wXov6%Sa&{KVQ{E=6|AD
zGp;%Co3;-A4%lrc^XgsrcaI-U7yRPYRo`4VQ}I9`SwHgh>DMRuQX&2-zu@YSj~eCh
zgR>GPWPVosh>N!r-kS0K_7q%1e>0;RZXQpf`2+8})_;lYZ}XVO1exy*MH~LEgM069
zvRa3`&!jcgz(>D&@NGhUg@QZyZ7WR2ES5wIbKBKq{{MI!o$#ZF19&8Mbs=v0>zvgt
z*f}o$^H+Fq?x5;!ScZmOn;idomO=p$`1Z}v^-kDp#h+Fbe*131{|D^5M<GZGZVci$
z)enFBNM|hrKRFrkWdy!?NxNJJw&41GhU8z}A&^SehYr6p>l%Ywm#yc?dd$Gs1E-&`
z`E~Vgj_^}wnx7MJ+rt3S|6tw0gI+`MgwT0rQlFcbjhmc;Ll_4Cka}O@p<DMzdv&fo
zopJCvwRz5YIP|0bE3$s!ZZZ6Y<j+$XX5E9`_>Z1gguOloFPFheS}a{Nu=i?oFR4#X
zkGY&$g4>siq`ts!ZCMBBU^|ZYJ6m9uZkIDF@IY8-G^v;N4;_;w`I-*tZryOvN^<c=
zoKGoo#sj3j+HT=-V;%A5hmv!K;ESrP5nB-#y=KfY1^ciLSu(=0zgHiUdad6Xer+*$
zZn=(q4OZ`&<`ae8uO~dDM7?+TAs>q#{PCzgJ3Z|7d1#zm9~8_}qewlON&K|YC77){
zV3iYoxM!Q_MObz1O&=E=+iI3eu5W$A_YL@A%bi=p$@T3})0C7T{KU!lUj!V@+w$lj
zF$Hx;7`(M<?{#t5c}CkX8s>_jT9<`W`W8i^VEvuX-YUZHFaF1y0$(vpkyV3lwezhd
z!AIm5b{&W5Lme*Ng*Ok}8n%T!pM3jH;-(+|y|;(mG`E|P_*3N%PrYG^NlAt@xROdS
z@gn?O)%|KV9P^cj`ahUD@~=%6JZN=iEEuNpljzNZ)ssUkufPG!Wu=ec@!@6VDERHY
zY4K-pcl6KVIM_Vaovsj$_~3BnHawKFEr{H2dbgN1r^9M&H;muG4Dx*?nef_=H_c7(
z=s>eT4t$|lI{zb_-00u(7(VFznUmb_`e=QQmB1z~hyM)1U40q!<*<i+=EQH9^?rKr
zD|qhEmUnaTHuJXQwXhkb!^=&$->TeguXqn1Jl1$?BdnElDg7fHd+pCwT6ifV^v@62
z@DEiw$q%+^XBmKbEqeBn`}2jl*2^RCLa^A%U)WYX)Oieck~X_Y+M9_B&|QLitrrB>
z5TDN+W?O@U-yG#8<AEjjktj+LjDLSd{iTC5S+dVl!75&b7q-JfT@MXe;ldPAelngI
zFm;jH0nZNT-`fdW=(*-`!I8t){Mq1=n}=fdz#|_XFL1%3bh2hg;GAoYW+eXQG~*Fv
zxYYXcR}$Zuxh2UMKDTq&nzT3CKk9D^|Ek^Cvj-k28J@I)#ecFtC;3h<J~i9G1tOAS
z0&vvQM>S`7^4@WpeQ<SMnczA2!j&@-2jCUg@>DN4P5->5Fg&`N6YLH1w1sy_!b(he
zc;gwyxAQliiNj;I8Q+57YL@#V@~~0=J<ZGT>&Qo&W#O8olmk~_)uS&%l;OkunRjDg
zA^NJ*M__8Lbf*M(qw;{RF8ue|!|r5w*sn)W2foBLvLlDYb&o|}h4on)vom22J-sJn
zJe&ECN{YlUbwwmUhCe$=JSu?AG%tGP!F<&LMkO#`)2+c;*z-+6{R?=cG34bNc&qPL
z?>F!rq2vSIaOgJe;RaZ&IEbnf-m=r{!+ThCHav6yHt`*K)(Kz!sU+D8$D8iB-3_1b
zK3eb#cC50~+;RZduYw)5WIo~7nR9>^mTh7^Lbl(Y)pM5_md^dk)(0Df^IhHszq4<N
zC-a>w=9=&O;f<Mpcai*^!`o|x;S*wWx5@lz&x?RudH9LZ2@UdjI_JOLP=xa{j@C}X
zGA^_m)!^a1W2t0*^?~X`qdF|(@il%G{vEODur5qzchQB+&urbD_v*u^oLqiUU_O_-
zn<c;zo*S2RC;6`@vTobM!#7ob&%?FFZ8YcMe3!P5v#>b3-M({hnD3xI**}xtrX5Le
zdI+U`4}5u7&&y<(Yu8NQPxyj+)M_>CqR!1h=2yn8e|A*CX?tZen_<3R#y`7YS?aP4
zjqs!I3wTs4es7zW5<uc<_4JBA;hgnp!_V-6`BR%m;Eus!O)}qWxA43)4ab*l;`t75
zbgx&LhYh~f?wE$poE|P&hW$AhXC~m!|B{kd;hM+^mjzhtZ$~hlD8}cr7j}{FXXYPo
z#{g%u>fK&~xznesc;QHiRW5Qo7TXSV?uFAUd9ugg%My9fCt;Bj9M4Jr@QD1+Lk~`J
znL0QGr<dO~wt|bN_Vkm#uf%Aef(@+pcFv4!uN9xM*8^6t+fGOF4@taKbb}R*)#6Bd
zZ=CB3ec+Q;dQPOjrraBRe*xAg4Vi3#YqyOZ4uHdYqTYUi<9<+{_Je)yRBAQArm<8X
zL*Sn7*F5iFp${gzNq)*}gCcVN9F8~{7X~+snp`92k8!VaKFR;*ag`|x=4dwOx(eHr
zT^lCz(L-;1<Ram#_g}as!Ak;9zr2CVmQRR8!UZ!0&ud}EiS0Qt@IGO&&;j_UWiS<q
zAEw%u)(2~>RYnKFBDDV)hha<l8@2&(Sm5mbU$6yp;|Q5=?tk$%Z36yq_|9t&xVEmW
zYz(f&{{=b0`;J@@nuB9z@9uVhsrr16&A@@Ld$TNI>SQ|Mb@)rYtHEhlsdDky8qCt4
z*RBWKNk}-0AH@CoWkHn+9B4xuaS+x^oKuy9nd)Etk%n)*P30i-(X<=4nWf-u6#bc^
z@ah5e2t~L>FVa^8ro7IXDGwi;d%wyH(<gdGXu@AMF+S#og%!ryj=~#{e^;P_5Bo%^
zYr|R1f!oOZ@@%76kUG5SHx<`B?niL~4bvy#n9%zRGq9O*Dy<H@R5s#I=9d>b4+I&(
z47Ong<bE48(o&=cn{Y5#euW!LhLWt{s3)@Y&9G_W^CC;Qi6uCm+}~&XUM9K1zJ}?_
zb+AWQWRVNZLh<YE3z*><<vuSs-oib-0+z}Bq~rnfc$D#w@dIP4WKtx&8m^j4#vAvf
z7M?}GMsKf+lJUsxeGYurVUJHVRAf9e#LcgC4X(Ig6ivoEKeQ5_#lybIO=oYx^F4YW
zW8so)_L1xGx@!56BzV_I+^cKwS683Yw_tVC9yKx^n`7wskOmu9=y8U?F-rOylVR$g
z!~A4E8p*kNC<o3OZ20N|zh|i4@DRQe#%g{RmbGTN@C2?<43)5kjYb=9<iqL8O=TwV
z&_(tQ#jw{-nb=csf6`};XRvB$#C9^?OtI#;Q4W8(I5w^Y`>=n`DTQyS$$F~77Q0zF
zs^M=YsT#^Kw_C%ZmvHd4(N8k4)}AZTEpSxhKSOc2gQeG_4GtfD(j*5fSaJ?_!<&C>
zd`R+b{ac^(!9HCUsT#2C(H(n+VUwfzUdQ3-<K1IpaE>>H6WM?17+%XcxKBr0iR{0q
zNVMv2xJq@Q!V>oCZYx=VYdqxQ&EW#w!r*ndm*rZdD|{wsZI((5<F988mgM+7HuPxU
z0y~^>@9={4Mqg=eg~Rl73q9al5i$o^;QW-6LVmD7*wuUNaP*JxjlQt+56UaM;CuA~
zfx&S5znpVI@FDrjLIH4$yokOCoc)deK{(v=O5M{MUM!i3^oHezpG2R5FPWaAC;R8R
ze|F6tp8jh)=nT`0p4w>#yKHQ9vVlJxYF_n%6U%zo$oD;UQGACdoJDgq%?R%5%3KMC
zZQL}q$b7;wV}<oUcnj^b&+72QU6#w&VXxhJK}X>?5!C%L@SSqyzuNH91*f`n_~eM-
zLy~V+&XJc1r^{FEA??|)2gDS>cOw&<NIspMl=oAZDUM&0eEvVTn)mPE+hOlNk^U4$
zzy7lh-X@@6cnq%26EOJ*n}22%`v2$mpY?nX_jW`U$|JsB5joflOJ<&ll!dQeeZBS>
zu3-2=CkB5=>vM01_s(ViH~<&08)Ub_*V(U5a>5@CoY}hJ;tl3?q&~v!veW)6?DDw4
zh|J&qJ>$cpBQbvV4-qEwHyS$6+7IxJ6sI0iA5iVJk|OPCKR#0Y6sDS;aweZICdXc#
z2?vjS?fwQo)tO98hYf#l{%M0%E6g}<!FyQO9ZCBm<HEBE@SPmBurAo`W%9*q@C#O+
z-vjUw1}B}XaHp~ZV?SJ~`mH4xHXAz<G7J|zyO$dT^A&`q{DL`8Y(3}$Q{Fs9KMAXM
zc5J=?hfLq*ABVF$)T3SCIwprZb1+2&!&xWzH|4{k8TiCV;II{(W$nTD7w&(iRBZ{z
zOcfmY1MdzfJbDVwx$OOP4IVk`&S3}}Jbw0m1>P3lm#GE6$r3N1702)EzMaxJ4(pz9
zY1je>oUCs-Ot#PGliv#4JPyiLfHzK=8!^JPQPZN5@QU|anceVWr9qD<Y#{$ve-|u2
z@YaSOUbM-n<$*Pyd&%;_`(JnT?ty)jhpKkL`n=(~f^e%uTp~Mc%Tesi56|#WaxlXz
zxvM9nh=Wen)5EH~f{v2#-Ll#flyK9@`VM(mdygG21w3IhJ0}Z|RChjF(!+SUG1^WU
z9y{h6ya?~`Df#aR?5#OTIStqE(3&|0H%(pXo`64Fc+#rDY9{}zf0BF!ia>36jpMe=
z514~p@U|vwK0;sB39n0(Q0v1N-ru{~4sXiq*sBXyukK|33}0Kfx@in6uH{XCgyWgQ
zpBTZei99}aaMj(-+!nA-@iXljxLH#`&Wywh_cvF-57{2%*}%^yp68Uo4W@7Ftl$bA
z(F29>37aF*j_`%tvQ1CmP(@2Ud)UfdEGio=4{3hm3P+BXT4lkT7pA&h;M3d1ekH>*
zWnK|Ua274Y#C167ba2KkxQRL1GXh>esT!IM=dPUP3V|)WwNkU-izj~E_l4aJAJXT+
zUjjA#eP9NbC;X4#2#LmZSNN9*<()#<DfGZM7q~HkrsxU0DeZ~*S=h1LocB5GO~WK%
z4JUoHI$R7dUX3j?fhnw>6jTy#pSp1h4jnCQD2J_<+_ve!FUtPPy@u!RzaQ0tW4f0N
zt6`N%ZFf~T<JaN0Z(--s>|@GsDWlTT8+a)pNADo4s1)GR2zy!m<39jjQ45Huho8>{
zKjwpHo)#@M!5?~C!+2oo^k@4&z)C0EZ!p8_2M1DG;C#jXc1&<HTYt$HxRX79lnSo+
zMa$m-5A!d-qJ$Uiw<v#umz@HSt?FWZ(?j%GFWEk^Vb?Moa!u$%H=L%ReQy>vYSva9
zgcmL+`cA`s5yy=O;D-1eYeTRGwQc<f@v>#>Pk6}CVqggNKR0071DCOQ8%)6>^Lz)p
z;IDtrxlX_@8XlE2!};_7_0Gc_?xWW}!zV8IEY8AFx#zdm!@_ytPD^m6TmDcTe5&?R
z*djc_Am;iKJ}MnH{|_#iby2N^mqvUT*5J;C>H25HN&f#)N?`o_S0JMhrin8CNb+A5
zmx|to+cfnKQz3paW0Eov7P+BjLh@r>y{<*WIvpZ%+u*2*Z_-!b3O2^`Oz^tX50#7X
zzv!i2Hh9C+tvkKp{pQ`wB>&8QPF`C$X0bYq1O9PAW62sWx*ST$3|IB^CrZN#v_?KV
z;l&PybBEx}-SV|8aOQ#J6%LrG!^40MJ{s=4Z#R5a(5rG2tjFM{uyPXDm#f8^tN1<|
zv@-T<FcVwPv)?fHCb58SxRXOrWfBg_na%EnWzXBh4#Pq|c2aflL5k;G{czC(ZmW0j
zo>HpwU9iUS=;_Dsk#3t+(!c08DYF;Cyiwt7%`lHqS;j*+dwc%_(tlkX92*|NBbTXO
zlm5GG(5rJ7{_Ja~OU{qal~;YU;NaMo;V)rIZO^cHxOkOo8#({p^6q$i6W(!O?*KXf
zJnN&xqv6VnB`@>g*9$`CH(=-fv2VHX_@T7^2w3!C@j?pRd$CzE3Z@#FWlDxuT$L+A
zV2Li{%y{^2NZXGv_(WfFMJ%kwqUz)iYyPn72!V&VEMNQwhrKGC`wzb6*r0q7w)nyt
z<_kw#>$+TmKYQ4x`M__~DyH3G*^!UJZm{J|1$HmEUwiLya=qKXEjz;*?%sdxs~v1#
zwzuINT%<QReHQ-Ea#hC`R=cGWYz{y8xY5@hRu9fkJ`LxDJFZ&5)&imBTJR@}6S_9=
zxzV8(4S4K*VVfzue8S+Y3M`wq>z^4c*zz(^3I1Cg6m9@prR}FD_oL~NpO1~;+@E*&
zrD5ZkV-hD|<vSOS3Ba#<sV?imSIWn%_Q8ho_Ou%C)IHN_a(`_!dL^j^YhG@n;e;7=
zI4e|O2j6Fc3~-2JE!}arL_+E)9lXxQ6@M6Jy3Krc75967{gOeFueU!va2Xygqj#2r
zE63>Q=iwT4{R9PgT{(?^7FN=Fv_le>b*3*Jg<B7fC`-Z0B~%JzeAA*4+f556@?Oa&
z;~T3^!=f!PRZdm^Abihy<>jIdp09I6TAz$(4*jmWxd2D%osT5>%WC!+KVjFc-~UX(
zvEBQ8e!$zPN{*Aylc?q1+z7{avX_zZj+{zg_d7T^CuuK<Pt)w5&4!o#rsGNcv*Ad6
z7F<df_n5R-?;@|00tf6G<Rs%E{nkIcci{hyhspeg+fHic#=;3VzvPhd5cM~TkQ;En
ziCfJQ%vySC^JQ55N14P%9M2_l`kpX2M0?JWjHmSNi-tVm+y5jxC=u6YbgXiRz5ci{
zko=7U^bKd=2d<Loq&)?9<5_F?-m!p|1-QuX?}{$GS4QnD*<W8j#eD{_P}OAM1RT*7
zou>(By$VU|g%w{@t?9s10>7F&VQtU5)Q90%og$kSc+l&cm=c_Qn>VQmZZmgP5QXo_
zEb!OEG@sM##Nb4qVwJbB4foKf0Bjf(*<1z3k1%f&f-8eGCtko6ZKv<-g_S3E2bRFY
z^C53|VYb3ww~OGP0rkgs!Hy9x`14`L*-`i1a1PB?m0Wmm`@x0nFjw0ln-n<imxDSx
zY$HY!cn6++o%?Ys{Fo|AI1F|T`>wtNjy>sgJOpMJ=laA5Cmbodd=|bbAmT~lZz41A
zlKGa|TgN{n{`(H2o)#Rnpzg^EfBHyuP6K}95b}o}=B4o9kbpn_QSjUbKiPXhN(_!x
z@ccsyf3u=LwHLnnM^u9ewlv=1!41>T+kB#eQCMBy0aqWD|FZ>-Ir5u>4c6>A7q9_l
z{#ujA2s4B$WmCYsdhKuN;fyl({mUmX-qFc9wHfv=IbyI1b40)P*aWj(KHokMOXS$Z
zk@@aX`+tIeVfPnd`D8x)Vp6DJ8XoI3R2YYun<u`_!sbu?j7Q;=g&h{7FunANp#hlb
z;Ma(8xPJS6&hK!Pm|$!dY{%yR_#3>?-B;EFo3!=*AoF>4wu3bv;0={3JkR0K(SEx&
zIP@6>bs5~mS=C4K+iJW@?~-_Q`sqRVGR=$T47fkP`a5ag>hJW{P&nZ`RVayjDjgRI
zhI^)Xsk-6#Gb}HC;cdD3qP=jX<N0<UIQ~?9G5NfcQ}T{(@T|R7&o?-#A|;H}d-4kG
zY?|QPInFHhupH}P)EC&@{g9>&Y;Uza@fG}{le+UXyi4}R%Qvv@H?Q9&@GZG)l?s^i
zk$MEFH~r_d)8z#mIiC7W3y!KWS-J-spS<Ki>Roq(-|o#O+wY$VRe?n-J07OO`SYKc
zNxkgyCza3X@Pn=f4N`BrykggR9oF2N-ysTfhBj=Bg;frS{uY66cy~lb!oJ<i5&Pit
zdNPGqVGTas7kgo;8N&)+_~S`BZ4TJx$dds-cvrvQ3?sbh)9m_jxTw=Bgc^RjrXr{b
zS02wV+XP#&7)r>(cV0eHUq!vp_j$URJZu=PWxEU;q-FPs!>vx5^Q8V*e`}2T5d2X3
zj?grGjdOvS7xs=ztt9nLpQ}>x`{2-6jc=sBX(=f8iW6Se({cC?7mj%kbHTmIjujnn
z%pU)Xn_-=a3!2SvkY`~AH9TGKP*e_2CPZ2#YolIvDOvRyJQ4l)N-9j*T>mKtHlGUJ
z;|W(OY&mlmPA<sQxBy$Kyt|bKAF+%wI16hE((&JdRpRdX+rj651%HZyU!KspBMuv-
ze6=L?VOv|&7~t@PhoAgm^CxU=%&`3g)frNcwshxO-3DKDqwx2Hd%n|#(!rc!cC;>V
z>>@)h11xsIj^7DR*|c<EGkiC#zSJ7tcwzArHEf~ZI%NUJsJ*xPqlN#s{UaZI3LfXL
zz4904lKUQ@1~>DzOFo9}d(6hQ;R)3tx;%K7$U~*$@SJ*lN*qixw4+c5&O4Fm6$9%X
z6aPT+^?Jh=FT>K&G<jz5OUqk1p>UuZ*E>^~P1;|?55BY<Aw~A@%d`I|ePQ~HC+Erj
zHRWkAI>20~=zDG95JBxBTlh$r6f4Q6AKN}-0Q=cpk8p&`omm_7;M>l3@7lxn+?G#h
zz#`FeOy}X-^ndw|!|8&XMb5#2KE1hz;agD#sb26)@s3ah*z%Qa8CfsL_*X?G31=A2
z-wK8;r*cb0;YSP`ih|&Aig*Qnm?7)U`c2qG=X5PMeEQ?NT?w$k4ONXD@IJu@9ffcK
zO??g{{GlN8_Y=6=v{-}+wx{@F`yAGtil(H5H709QNq_5Yvtyjs#P!m3g0=$w&sAY)
z1}@0xJyQ&;7q5G_!<Wsgr}JS?5B~H{SjM?OiS);T18J2HVf>ehU^0B}bH$HGaNP^x
z=dp18xkCZ}!Kc3n@g>2fin|O0VF#axL=yL7&v!6`<zsv{k@$FV{1H<)ljR0C>CdNi
zeQI@KwR3(k|L^ZxPN(X?idSRvQV_pMeR$6?`1u}R_AGer`|iK0@Ud^vQe^*xRVjkx
z;oAjn+2nlMBHM2y3)ilOzJ34;tk-oOglD%~A0)>sc-!4)2jEvLp4#O5h8?*qy${Bk
zRb>%u>1oNx3$w1DpDTcEnFM#Tz((OpHl?tq+P`TgxJ6wrs08*X8}z1zDd=}kynr{;
zm7UlOS9%@hBj^93Y?$$H4cy;sDQ>=k8)6Ja=U~sxEQM8Yg{EBbDEv#RW%pZnM>Tcy
zFf495bBe6jj0UtOeuJr>KdNhhBj++*+h8sE&YfiaCO<%Lr4n8#jJ)z5R_fT*S`LTr
zO}bC=4V5;UJ|+3>N-SUCpvuOB1#t4fNzo?w{N=)u2XH|9T-sMyoZIL6efYNjhKg2r
zRmYq;6;67ZDbNj@Q*n*nfg>jJk9NZAcPQQB;74bV7xlvw9(BiJ;P7(Gu^yPGH(oag
zHZY$t{R#V(>IwwF$9-13f53m@q#t_`n??<e!oRQ1hI_y}>29u*>#=%$#}+5}q$sBw
zxn587#`W97j9#J-$6@;{t1%;(xu$UYJnZy>wZ;Hm*B`%2+6yqhZ6*l+J?keyK9BKB
zcbE{&8cEyz4W`|9;O?S2>OmV_G|Bb-Jk_M{0?f7)VNdp-nep@L1nghZ*E$FbF<x&Q
zgDXDQmy!F!AWyFDJgh0vPO%EdcfI>Y@}Ee)A0q2lE_MC-q`ljdf_Hb}el=X_|CGdS
zM)pVShIihM6DDz~G{Mi3u;`c5MN{x&N3L<Q-nIMgahV}Ft%Xur1C~ghsp^B@Z=Kga
z4%;U7skX!WFUY+n>rI;{95}wh5nB8`WW9<?+c@(hd}`8B%McEK({=GZ{L|9VK_51Z
zc)#)n7FLOCGllcnPqe;*XSDohjA2b>Mbk2vWoYCh8Gj59N>LZX^FB=@wlIT%!1X-1
z`M?H~bFh(hrtKqm$@r(2GpsEUKavTX=`s(H^(a3ps@LgoW=O}*^DwjaSmSlr`{7!o
zH$3cbdG8vWRM4O01xF<6@`u4I+cz@%!#abn)`DTL(jOw1;8N?NFkkqb<-Zg%-g0Z=
zHuHhy?|d%}g6|cw^tqDlD`{_%^(}GApEsOffxw{xvc5GX(!pX4&scLgK7v09>wB2M
zDPhxLWc?}KR%78Lyp;9tBUuj;P&^W#0V~Tkj8wvUnKB!c;pWELx<>ei_xl0`xct}E
z{(3l*`>muTJi9aW<Y$<xo`y~wc4|^{`2^qpN*N~ze{<<yTY~TXF;3kD2l5~MLDqYY
z#T&En!DXIQ)wCEdH=WL@<A%HCo=1}L_Osx7m13}ASoUvL_^3}!yeO>8V_ikob1YlS
zuPDJk1`UPD`2M<L+nK{~oMsslFI-yxsq+|oe<E{S9M+ClyrKdp^3i>fgbV7YD74@K
z`T2ZR_+2jbGm_7K%ppz<wtTQEOpZ@zla8w){P!_smnOV1zd`R5TyDK+WB^}Ve_3q-
zCwKl9)`R7@Ds`E`H8h)^sl(Q$^YNG9BTe7v$^NFlcX@IVUSSxCmxlL9?pP%2J8G-<
z*vR+&#(sq*8ZLKyo+<!e{$dxB01G%KdF_Mc^;=WpU?1uHMNW9r&2V3`-eXv3|6nIf
zpE{Y44xfMLFSHdF=6}860sKqJa3dqE+91ezAMU7hirfq@71b<0gZl-x9@+>8_3&?d
z3f~>$ulRc$^BKjdkTO{A`$Fs=xME!|?K%8~l7V#!Ue4S`OXipLJ37b5Nqo(FADLgu
zWzBdD!gs$*+^m6bw^gVQ!21GzH&(+m;-mUsVE$`)GGzU!*5RpO6Fk#EYe?3g>SP<9
zyoDd^eEIqVJaXfDL@k^#%hA&aSJ!6Kynq?P>NUywlb)<Ye>u#>8WHjdzA}D$EC+6A
z6`UgLJ%P5yZyvxyHzH}sdQoq`+wpYR_y)f(S?^K5B)mHnemW4A&;k3NR?A9&$M<q=
zAoUQlt^Y2?!N2Au4M_g-8I3KzFuh*gtN*VLt!?P@hB?>zn8|vQ`$bJRb6Cg6KA6-?
zI94|tI}Kmz9GmEdU4_q_mLWDjYewR(fvjRu@PzW8dJ?CRb5q*}Pk*$MB5})8`*tzI
z7bPj~lej>p-@)l)_&rLa<yI2^6e&hE3G4pOJWJ{cLW1XSwZaE;W<LLfr5AZzo8eM@
zi}4@u?X5Di4RFn|N2X)&!S&Jlckq*IEZ!sV$-sXns^PI$rw69tkZT3JFJTek13O9m
zg6d=YfqeKvtm|b`U#jT6OqmNCCamr!+n-rj=D7$<_X;GD?G;n<mM*}2jWkW9UgYTX
zd6O;dnf23}?BC0k-3RR93D)Cd<oKRyaD68aGp36Mk-yh(-r{LR_`xmZanc{Qr~cZs
z3-&6P{EzgPjraKu?1pnzy1$VA)fl7taudw-=$kF+zcc&+zc#~jVo9Z>zx)4+_nuHg
ze{)FI%!7v+>e8oR9x1Q1Y*;(9RpcvN^gG}nIiHwK*H5*>#<II+V_}Xlx}{W@uTeJQ
zD$JFAfF}b^-OM;o>KpY+{L+DNmAG`I9~|{i+3G*IzG7jk2fVvT;IAP}c~dys30@hH
z+iMJOsC3UTfxVr7eWHP{DRa?T!R!j%+0^i@E`!_T`eP=SdARo|*2gVoC@f*Oid);e
z;ns^*UL=0}sI_1P{AKg>cXEB&9%H;-3ZF=EJxSuO_c^!Sf{Uf6DoK2*oMkKlc6pV^
zNIt**+0RRUFl7K;09o(WE$Gzsg*P#^6p`zjz_H5H4sgJVGB>H;Fdlm%W(SWy=T#u}
zo0j7A=jL$7&l@?8@cGso*H6PQ<=kuS;Rg@?W7dcF<+mL?5C8djZsa5!mQtd94!*}>
zdHy);e3G@?3(ogbS5t$Jcg(kv<JZ6<*Qfxqv*$eyhFwlj`pUo?L?Rl3;D;iME28kb
zreKCdxZEQqL=ZlG+F(Dqp4JD1Z{7pTrHyaA2X9ChDc%LI6jtme*V9AOJhI#1<<&!`
zq#l_NpOm_$iu=>;%ZjA`vY6drqe9$#t@_a%yeC6taudAY;9T7dY+a$^wSxS;e_PVl
z;lQeE+>5Z^H~;cAc!~RZ_7tq0`!$Z9)E9f|^~d1D%zlr_dM#z-`)>oV;PBm@EU;Xb
z?UO#3VodcAS+8|2bdYF=f4W_v=Z2STWBXcQ&lNsFQcpfxe$(zfoc6EmDOu0_(_DV8
z3YPt%_E8=Fy833O1Wso63nc4_@v8}1kKtbiD@nGnv2^C=`!L5l>K;GXo}=9$9X7}E
z5UJPe1^;SKghix6Y=hymEyoKI;PkMi|AOGRDW@c_!JJ`pV-fHwLkZ1Q_>GGTRXE%(
zR~r)y&p$rnbqyB(#AP1@w}^ecaTN}=5FPV|E1%abk@W=Xtyl2OG29>9<XB_i4-`qq
zT;RIVt~#=QaqUHWh7By?d90tTUl>)5@t%es1-*(T>m|$|<^uKL0h-WvwXlOL*A*o=
zRztXgtaoWMIh_@Q19<w<$$HqWqbGW0VWv25pDkDq8flD-It2S)pFBbj`|i~WJ_dJ3
zUuD|`m(h3$tH8DeIxC#;9})eBny~uIU5<QkZPJ-Qb$D0WFKvD}$yjkw7j|HLUUmTP
zVn6mt2fmUYo^}w{@ZPIo3`>R?ZIOYOWA||x!MQyGld|yI<qgReaM6xsQ)PJX^17QD
z+&rJpqXsvp71^DG8MDJ;v|*>qkL8`=*ZXWP=)jB;5zjqg${2o!Q25p4Xv|r7j|8W7
zINaA;Nkg_*x31txfOqknd+q?IwUkmP!g-ByV(xI4yJ24zd`+gaoBTZ<rCa4bgqOWN
zn*-n)MhUT2*t>kJ)eY``xl_9tc9q~eP1-AedY7jkw#mFqNj`t;SlHq3FqO^gDDw9^
zpr?}i3)V4qwK9Rzawz)-;DdX9I3I_TlwN3!!uvU{E2+UnmTC6Gusu(GodSGZ_GI%E
zJg4ZEA_u$89hjJas~_cZi^FUok+m!E9rLO8B5>YYo9|07Et9YwA6$EBi`GU-{9Y=j
zVIL3dY4*cz9dYyO&H3!Gcru?NBjSy&GRCa1J=L-?J?!_vr<)$$nsBRT8=Nvg^NbdD
zNp<dJhQHm{kfwm&I&aWqhaYxz(rtiGFtyt5fZaB*$1kejdbP*?GZ#E*lH;%dvz(P4
z<AhZPhQ=r0P7B>P!mteE^6e2=Rfw}^KP=rR&)E-e+<sqO94;<-HQNg_Cn^LTfW^~Q
zRzJeqpH_|>g0K75HNS^npN-rk3Dd=HHmQNHz1iR{5AVHpS>!b=PM?%54c}R(mMMfy
z(rLCHfp4r|rhh^#)h46}M_AU!XTt_Gs<)5AivOuPX2IEq>7J>;)k+Z)$*`Z1H>W0i
zICS+*5*(Se+29ylpcV2l5_Z4(PS6Mz+wSZe2G6P+oY8}yo|_8wgm>)7Yczq&=Fgb8
z!>P{hKTp9=YVP$oz=Z)dx|Z;jb4*2caE42yi#fb0!$8IYe)y{G>sk1zV->v_Orf1L
zV@<YS+mN6SZyM}3cY-BHoE&xG7TT<f4sgl9<B8+&*6l(%KCrmdg(OvYd&7|91^Cp(
za!z^pHfwrr6nx#WAx#q2NEnTYh8O)pb|}ID4E)OpFwOIp2{~9?-M23hesDI*k+j#g
z@3~eQtn=raqB6Ye^;y=t@F8jy39^6oEDu6*U^S*FYO;TxAy(S?u-K{TRV(<(2hkgE
z;JlFhz|$~Znp#r@kKNR|q5+GfrXP3<|BVT^Am1nEp|nOV+@#Pta2P&!^?dPr_?rn$
znF8!Dwz;VR7I!+WNWM??CY6_~@GmCMt$c9V$Lf3k;FUKV(IT*e`UpMMA<R$eB&>yC
z*H12U)UY>mcb5dLk$=mQ3AS*ZDinkL0>l_u;ZIou+*)vT&sjfCxctV{Z*`dQNVwV_
zICZPcm?_LJKh1FvuBKB>G=ftZuWk^Buh$MTTEf4COrM;DWhffYlKAMvzXUy)^N~X@
z`TNTzC$u@h5AmaGWB7rrTBQ@*+F$eS41B;PJI)tQZiomW{o_4eJ{|x&Jt*-x2h%=0
zQ6C0>5suMvhEtf0&s>A|YX3YG4ev2aY>bBo150V5U|psCw{F3wU-kSW{r|`Exee*C
zfPHQ&>Hi)Z6^An5fqwaucj0mF5dDYnjy?+B47h91NahjzWFaB_A-wn?Q}+}6jOxhS
zRJh*pveakThrdyYoPTQ*%D%tg;M$K>>2SiK*uGwP!$MAL0PM7@T8qS;`*a`q!ONnf
z{|&$vii*Wf@FAzy+qz)3sD$q>B(C>Y{Ts}}5im;nQ`sU%F=<cqHh;AVeDP7jE)w@p
zUTBqqH=fOjByslWyN^hJ;d3^mX@d___8g^wwbpeqKEgMTin!Cko9HR1-@+lyBN3y@
z81EjUPOE}tUWz{*hi_j}D18B+uE>xYga<dNYL~$GR)1Lkf~^_nk_$+_D&On}Sd4SS
z!5r9}^(<!->~ly(^8v{}{^8zRc*_I5@9D6G7v-mVIDWO4B?TUcYHcrtKlIJ!B)~uS
zQ*Ww(v$DJYT!)R#WNv1{eeu;ciLj0%l~Xz_?Z5E@iN}QB2?~J41HMU-c<mWS13&ow
zZ-Gn_&t3oRXadL5Ow*9~&fHqXQ*iO4Md4sr*K>4nQ3?N#qHOSn^uO1CxAHE--be0i
z^@4j&?knzx1x=S9xWK6n$G`u8d+(So*ukH!8oD*Yv4?7|S;D`>+>$@Q*UDtOOkinl
z@BKyap|82_<a~H(a@D8=9`AeIsR8>hbvY-%J7X2yRbY+p!-<J-W$H+^0{rMlFJA!M
z{PCR8A$Wu7Pu(Cmf<r7@6fP8O?X!i0K2^#Iz}cd$v<~o~c~aC~`1yy*loN1e+<tBj
zSnq7f+mo=56_@*Vxa~vYDJhtbt(=kp7M#BlA_I?w`MPh0M`9k`Vuc6Z@7heRH^0s%
zzTN?^K2m-?16y=lu<tp7@!LYA&|jEKB}Tpr{z4OXi^O+V-q9_G$IdmZFT(yaMSP_s
zpRV79#91cG<q~20aN4gVPBGiUm;jeO7E>ni?VfGC9&nI?P9BNhQJwmG9@bYXTAqci
z-#xx+1kcUa+AYDhp>Hh>;GdnM&*x!!p|D9=IJiWLdj*bfO0JQHeQvZFk@hS)*goxp
z_0wCc$@eo36UpL*6;zKgk@lz-hs0@N%}a8A8*n@>Ut6Kt0>^&oDInM5<D9<Ci-%GF
zRczcziMaCfsG;BRXr_uYY46>F%EfN@oj7kRIiANa8ESXJdZ!IflkMkbLw*&&kLP)7
zHzCf%f3xy2tdQ-dxs3SR|H_TR;IrzY#Tya#vHP$;1oq)9<RbCpgr`T&!0GMQS4q6>
zSnW0oSW{|dp6vh0KlcUY;fGriElHfow{%Sg?wnIEAjiY<jKvKu*mJUf2l@O*4d>5t
z!a@}(PHTwswK308z+ByeE#&+C5#Xuc05j>VQj_))8)BNL6;aQ85aziBp5B}Oa1!>(
zGtMFTTdvSN>w)KGziy?6XMV9pcEKLaxyMPqFH=}tBdmRU&r@=L`hDTLeLc)xv+#=!
z9<%xDUJ6@R+39YB7e8z`Rsx3x%3mh=#{aqM-iOr+?oF}5OOsxF_u$tXF7c84a=Y)M
zaWIo}`wi0n7dwA!ih;*Y7Sxh_7S@xDL2%pT<^x>tc&y%_Kg{abdzR!|$G(_!hVv8;
zeB29nGQF&Eguge>bCUZdkGHwONjU4XY$Pu%_1#S11iW6q{UtZ-X;&w%0N-5I-$%~R
z{cUfk<lwVcMa@b611@1^LAZV1woVA%oX9`44|aW`-zNxno13584QrnHA4m5c&(-(G
z0X(Vfy{YV#St7G!L?lwEjE0?Awh&oKW+Edqk;oQNDP=?|A~G@}NkV)pNx#?m{rP;n
z-}m#m_kPa3=iGD8IiJh=^6=c!QB6LQUvCv64L7zuGN6S^b0a@1z=3u({M7Kh{TDXw
zg1ygwx&2QK>-oE<x~RZk<wgSj!ntK(QG4Kp9M*r!u)RRu_r0({DCN5)`03hJS`B!|
zQI!+3FlB9_mk!KrCN4Vz$B5fKC;7qN?T@<QWNL4j1Mv3KwaHy@ua$C$COnjXOsE=u
z=AiLe50>}W{8<6lWl<?>!78I8QE70=Yl^&su+FV^%Ny{h$NYP8zUjnE^e0vEdv)E>
zl!QI|3$~5JQD&Tz+h9?REcN^F`$L|A<oEPcy5(2_@9J#pWQOM!n0}_hZ|~ae=7v=Y
zSh`Z+`mbh7v?M;y;&}po+B9^M6;|Zs)U|-`WX^X@qx>ffw5q14;Q1|FT5%o@Zx~`q
zhTUfwqG#ae*F|#tVOi<H?c*d)#qcr^?z9_v)(4BdjGfVgw-`M**$t<Oy096*n^Qb_
zNqaGFY`l&U-X?##ssR?)d@#-oN0<GMD}leI^3c9g#&|T^4PpiGey&fuU&C!mf30%h
zi$g1WAH&Iy7oOjNgN0<+o8YzOx*tifS-N+p4IH8oZJ7?goUY8Zf~AX2P9?xI_nxWj
zf^Sgp8l}O5cQ-J}!>8u@bIA7U$EmV8;hSEuRAhUHeL7z3@Di<nFv(}PJn)MSzBl;#
zYBsE87y60@{>Er~hqR}|CN7&&z>=bjjJM$`hKJ(+_TYKzSB_*p968@q`X9XA{6NxO
zxKV8}Y#C0RbZRezgZBT7orDW7QpuOWCsHKOjKgz^H~-)MKF}aNJpkY2*i~JHxSXt2
zV?R9T_O!bKE~!1G*$wmGFjuOF3l3f5=z>qjemYVImn$V^w7@#6-VLO^{_uN)$5S{a
zo}#Z2KCb?FxgKWHjZ-J>bziQjjyibYSfSSwxN-SgZy`LXD>>8(C-t%3Er7*l_Op`w
z4j;biWcV4|;{ejWx3=1QB@vETGB78f&-D6e#UVII?(=*#oY^TkbQtzO8BR-%C-8{m
z=>zbY-vR}sJggM2Ue$+#rz>YJ!$Tp?Ua3kLk1!h-b`f?wCz5>={&IO+gC8uiho(3h
z4p{kn#1lS}@wg`j{&Tp~%^i-lEVl@Q<&5HTPQg8#3}un9rpwtz@;tYm@MmW*{Ov#O
zW9Bf=Oo7!U_<q+mPx8F@Xf1Kv7e4cF1C0^9sbV*M0Q_3-qlh8QeOe&N6TX(#@<<zw
zaevZy0nQ!1Gf19KIUnBDJO{hQU%Nn_f9r*HTwGz1Snqgc_zA7df-Sr$$5Na;UnjqQ
z#_IrkR4JVz&)2a>lSIs54Mm|}qOf41ps@u!W5~fS0&~bvy*mu|$Zss$3Qs;yUN?am
z|NU;~g>C-&hU>#z2WHN&!43<5%M4(PwTW~l_ykwW0~PpWRo^aZSmCnHgc^M4++@^7
z`0~psPa$|9?(;VqxSz)HfB;P4JV!(FuN~Lx<bt(Kzvgd%dlg@-@W9?#d~Bru<H~>r
z%`Zjt|AjIKlK6`&Eu$;2U95D~8secDAv2#~ji(xhD{!RnPu9=yd%xhE?=bzLn7mi;
zTRz(@KVbnkHos2TS-!=W#5ef`U%d;n{LC2n4_39KI$Z>tf9~e^0sBfeI;X;-v)Mtb
z@b<0R`%+*7m);tZ-&F9QemH!%B$IC)9?T5d9tJbn)b1hsXB%c-;14fM`DasN|8p`2
z{e9v5JxLEKV3*12zizM{wTU1(Kb`!$dtG3fUk(~n@JI*aaa*{OMesK1-?5RnCUXWh
z&QWS6{W}%A9jlJR;}mmZ?C{Cj@n~~6NM?gJEBsCP5&dC!ZJ^>V5B$7!_k<ywp5O9<
z3(iPmcGQOH(mbU3;agUb>igj#<`g?VxMaV^0eQH6zjCJ#tVUnKCkwAH9{el-Ul6#K
zD+<rLd@+)M_b{ya2*dxX=%PsZ+7eK6i4_iZE|`;oEnS4nnBh|!YN&U>3(wXEso*dF
z4tS9A8}i<{d^2pv?pQ?1FXc<2hUMMZUy~&UMR>=j*!U&*_<yViNdEXuotxvZo=0ja
zxgPTC@40=1jqW`7v>U!6XXn=qZ?RG^RENJD>p0W}FP+nNB-hiXs=~J|aKH1zSLAxT
z`<trhDg2GI<I6tySN$ic2AJZMnu#9#SxATC0c=pB?@IcIJaq)4?!(Dybv=jR(l^1D
zr7)A|vv~v9>6qnM0i5t}hnXq7u(7r_57v)XJZ}Pz&m^m+!<+7<zqf#!8@@25!GGT5
z{~-NGpD5Z>;$b)LCNWpo`({1+6<Ct1iI&`-l<&MxNQ8S5dCrsmpG{u;_9Wl*z;-io
ze^cJ7F_sD!4JclTgHM_MIYsiXtc%}{g^wK_`xFhYz6zne4s&hgc^C<6BzuUF`c3cB
z`rcspd&$#lH(|eXyV)<o84Q)hsql~-Z~6r|!DF3~)Nj5TM(&>Q9nZNPq<&+uSNP!w
zPx2`y6~J3>*tXll=Nbje^58Gq4UDYe<#KyAQolK#_Y<;&7rvRuk^UqXYnvidxKk?e
z#(mhj=Sq+Xte;^2irnurznMqvgY9T<DUkZW&FPY*27D**baW}~bwOcP7^V`B`$p=I
zg#MFH1Yvp202-2i)qcMY54@(B=Rw*RqI32<T<{lT|Dsx0*GNHl3oIIblY!KKt%GL2
zC}Ax*PhFDVyC$^phXVRHa<1HKhP4v3-!H(EU%c8L!)97LtY+Ztx1(i9{df4M-p*+_
zo8Q|08JwKUq1Fdq;BxNlfCDXeGWWuCBYbKk{!03#a3$Ql%9BUp-ZfLd?!$S`Gs~p@
z%(#Ce`Ub4oFm$pLPUo+%x(=t$HYK;gpSJ`$T!z{Fi+^>)<H5;lp>UnrRe6$+{{YhU
zfO)ChQ+wbq1s8bT;P+NGRc}Z<-6F>h{(WA9djO7Baq&J2J3C14?uW~hOn#q$jb3cY
z7=g!+p6RxLeU2~J4#5(PdPj|6A&QrLlkob|F$p7hi$dL=aoB-LtxN|F5{<q^+KUsM
z2QF)o{Qu53koKj+4QVP>c=vPa$Q5{5LZwm>o)`a~`vYE^6Ht<YD|QFCZbbXkPe))(
z0#1;!yh5HwHy)<37l8j{r8JQC@6P`DNgmjh&!dk#-`}PF;KTwScS+nL1uuE$ex`*l
zp0^bu?dj8R;#@bvT8Yiy$n${9d2`P7UFa{DOrTMM?OAm*S76QPkMBtPzt(Sq?jpRa
z=I#P%zpL6Tbj-kZCf^#5z~j-`UZ3DFRmt3=u=j`3`8k*+zgX!!?0IuwKZ*C)E%AE6
zeM1vXB%XSs!!QQ+O6O6VhP_0$%g4fWl>&A1a21vLpLDowHS*LfY+=Uyob)G6aV41j
zfn7$*B}sqN`(vs*e#1`_SQ$xw)CUcXLJAz;E&pmS(qC2HKN;{3aq)59;}vk%$*E;3
z#9Mbfdh`GeGLG)p3`ZT5%x{2e-J^9F;i(^8R8L{8Cn7xb@OZn%+%q^iKsbdRUhADW
z@)G_f+T_FvE1x>9)CJpIY?$PQX*<_5d*O_5qk3-mDt$m`AI#=`P(cu89u$}!hJ^<P
zsQBRvUIOJ~aJSp5zjCl>X&3tpyxqW}hm;5B2WOsrgX3!VY3so+9XTXc;1IDEE?xM^
zE|HIPiYRZT(nBRMWy`7#8{Ao$S6&Run&~of!7I-$6*j=NM+CgL!;|~I2RwjHdPIdp
z;FF(fXWzh02dJ+|!M9enKk0^ZBpO|1;L-&e)%S4G-|U{<aI&>KBe~wyQq3PI!PkFS
z#Eig>=KSHh@V6GWU4yV$<*1_`EW`4rbR6~@zN26cpW?b>M)I3~yKx_fd--DDOu-vJ
za2mM7eeYb2KEelI%*cAek4q1?e}>PvIk(2aYge^-NL+Q-!FvgCw5ebUi5D1+4;RAU
zr|&b9?{gdLd|Cu|hQ-8wfnBX4;_Bdu6TJ%L`%)`?FVw>=_wL>Q2H&;1+V=@=dL>yj
z1}C&d`wha%X7a6NutwGkmLAyZB>z%5{FAv``VCxnLEo<k9@S-NYlr=NcNN@)f9Og6
zeGY5ahn3xg6J}h~9>E_I9R@StUji>E$^OhXtbX%{rF7V`?-Oec@LYsD#HIamVBMYL
zT6<uIKZz_i;devT?ke!eYGism{4-vMnhE|m&+_jEyln0}Ov>-*&67;w@IXx<Q$4N+
zq4TZYS7Eul%E?;TzprQfGVChN^y@nOt505!#8;<vyOQAI%Nx@p;BV(*EdAl8I<xgy
zn2!00oG)BHmB~Z$SuXU|xWQGnvmr^aqbhZb3+%m1E`$6&nd{pbZQ*mP{{K>8#o5CX
zr{Q&{CSJ0?smu<J$Kkm^iqI_hJpXkybNG0Sc4h|ruc)Ni2-cbk-;fWBet4H+2sh7d
z*^>>k%5KV0g)^h~Ws%=s#!=c!8P4;fnkVP4Pv^o$emGD|@hB+|*PPP(x59-?l!bZl
zZQBuhN;r#EjP@?PcAip|0-nT7rUKaKs&2>Uop`_bi{)tv>=u6R))ed>{gst`pHf4K
zbQiq7^vkal?#b%j@DhHnAU1UymZ}!uD26w6h#HVMt-a2dLO80ZriUC)5A*HI7vXBl
zf<5H(Z+N$x2f#Ll%eP7VyC;*21$;}gkA}n-@)h=(!CBYBH1ELMKAIiWfm2FO7M8)n
z-2U6NV7UUSVRAfYIWoj|!V4P)H7j9nvxk3V;ZjU?D2J_mIzz?apBaCeNqPJ*Fmp@<
zej#l#Tm$!>Tpi?t%N<7xTj022smomOmw4HyPvM=Od#RY<r#|$b*I=K=-bH`q(Z5mf
zu5%r(9Xu(t1#v~cmEY`2cwQ`#&HjgYx<~scC;a>-3lBBorp>|H+hMc7)w#{EjJuhH
z09;2o?8pcghIpGR!Owz%C#himpXO@H@P$E38)mY7C0*`5SnY?xE|P!f<5I+aICYk}
zj1yjVv_5PCyK>eXV}&=GA5t)do1e$O=7rrwHr_k|clVzt;D)K%SAs0z7Jh~8g76>z
zvj@(>0_sgKw!-&^t)*PyziQVtMPb<|?1^5m{(&Rx!m!T(yN?gtJSLVPMa=tZFbG!A
z8#^lrn|*ovI0QZzR5L<;pLbVdg`?n!z0Q?#@L{GK)K}mHMs;arc!vW`Pb&O1_GYgF
z{I-Pm!A;nK)%mbGEPA?+FBg`2#Vn)>UpV=7Lq4oH|1pb{hn*fp_IF{<&EcM!uy)|6
zTp3)jy3OGT{PS0KN)7xrrcuQhenEqw*zjSS=o(V~Mm~p)K7tbu3S1%O&-Q*%%M<u!
z{p>~?_`}z85^eC}zmR@Q_<F+ArI)Z}5_6X;ysQ*s(L>@UIXUNGdG?3u@8Dxz4!mCQ
zXWsC<A$TQz;hQJ?t*kz31b$~&=R~fDUu@xDKf&QGYU+OQE2~Furr|N(4G%8CVnQ*B
z^KjaH=+$7jTcDkH0d^VF-W&y=*S&G+CoI9-JP-~q{T{IU4WG{nJ9-Ts3NGr{um``7
z#BZ^yu*%H$`y1i8!wq@Kux;lPHd?q!N!lk7&i_jPn+_iNIr|+GY&2<PN3Gf5Jhc-o
zsj%E8d2J3@Esb+;4*a@sWARq_uTm(>EqHY2iMZ|Xy0rQ=azCivC9@<7Ka|KjRRC9c
zUwJPM3pH4NxCht2vsRabKQK3y-GxiK9trM*@2L4mRKdfsDN)MsvF~sGl*4@2PaRQ*
z|Nh*!*bGxOsn%)3_k~lRKZeDkSi|(-YHNyzui*~vrK!WPHHB&1E4akXF!dPx_LS@2
zX*kDw*B?tbFs<&*C-~yhy)kQeLBz@M8+`S6imp8zR9}XH>A1dJlbN026HyH8Yw&Zm
zOFo`(dy>)T-*77HRZVYrEb;CzE$+9phb|Uggr(U(l~cn`+FN3SVF|ay9W3zd(68?i
zu<4=Jzl`w3m@9ozaN54}{#-B(UKqp^2j&}cz)H(^HYdYB*;X{g;B#g<=hES4tpe;K
zFcY7uNhbW>wLM-MJ}{(En-BY3{C;K!ywjpL<2Kyccw=}MZ0Fnk?;flyR$nd;XB1zU
zDudfMSnp7QTg5yKYT@<Pz`shc0TZ|U1G2r^cK>~_>m0|8$8eYR9zzXSJGLdT8Gh|L
z_(B&pYkT&w4Njf?c2gUU-0Jh9gKU32p6w7E{=jF)Tlj=q_VhuRsYRN(7k*r!amEy0
zX_EE%05eYO?>2!aLuOA7!?`Wf_euR)`u^LKNx16Rw=hz_{xiN`I0c{YidnOP?^0FM
zeuMWl#J;wI9hCeR=3(JZF#~&e_E3n~e{cnx$Tm`+v$n7auEJYp%~`#PwYNu6DC7Q9
za(L=I9C>x#g%VD8pFR}`TR5-2p@q+19o$9Q6MBxX>*(RXGahB3@XYODK6W_vv`uIT
zeBwkM1t+X{;>T(f{CwrP!#3DMdgN6E{P1+aA%0lyiKl)X{ME9$QViysH{*+iU4v88
zB;W<!nH!{iWBtBpO%A?N*zQEyH*Vz#6FXrK*AtWJFrQPto(f!Ps#uo>H~$weqXw5$
zKbOyi#TW~cwcx~+Ov-Hd?9mi|9XM@4GUN`Ncm0vpQ8>z_Q#c<M%BYhtgKf83WS77#
z`#vt&!iL?SwMqU}s<8okcwzVX$M@lX6U!QI@C6!$q*B=B%&M>l%uU-!N7`#wB}M0h
zVVRPhl@+j#^R9Q7;OnO!NHxHp%=A^FVNq$<^*Y$-&`JInI67#-{|TI}6#XR)en4xq
zy%DyW&wZT^w=%!J*#akMyh<;Ihx&N;lKjHD`Aa2mT2e-R8=QHL*PsE8i|ex{`SgX_
z@{RD+y6HeCeCLt-Y6o1uGdP&!dpG2ab;2dbfBk$74=)WfO~8NqZ+djVxevMjn}nrb
zGta(-8?^T|FTtMQSrT5sqg|KpEW@I=qG|f!K-q>qS{2k+mu5rB=Uoq{YNChz*RB4%
zhrNO%qxfJsdd1vc_<Qmt*KM$;W+Cq|oZ#MSuLZLjUQ{CAN9!PSNC%FKo~{^#jj~QL
z`NO|@-+8`-vtve90^mYpm9IT;S^vvzwJ<kpRM1m+rRD6V2eACi#DC;?bUcoBzkoeo
zGiJVkW!-8&x4_4qRSP_Vw;$G&J*A5N>W?%h65x{pc6!#Z7t_;GQoiHq2C0+aN247X
zesDtQ%kRlByE{DxxjrJgA98fV)#_7u?(qKot!uC0S0VyiNxs5|+DDXXC|}LV{f;EA
zIdFS395~f#;t6xU+WP$>%)mcmPukO$+B&EL;YHnNUv*%aLLu8buvSr1&mP!~<;lg{
z@K|x?aXHwsbx*mSI>u9+8A$vO_wSDrQEg}8HvVqTd3bu=@^B$so%q%D1Dtmu$)Nx)
z9-LWv3v)8@%2mPH`rA@S{UW!`P_F_u8RX-A0dHDtWqJZ{W7lpZ^;K;85AjEE%$(N#
zdRX;N+Ob~vsKuwMO1SG|lj~bJ)M{Fp)Q7Qce2QbRe8tzn+i+#3y3r`i|9AdW7OZlh
zHeeZ!iL-ut1J1qIowNk&P}y3<!J0+PCn+@WKFs^TuPgAGBGC)~5N}d63JHasKAco#
zMEr-lFn<ty#K*;y9#;03DkSZfgJGd{Y;fI&B%kx}$>xM^7P$IA#vdm*nj?1?5B$3O
zZ>IzN;#Zjg7aV(Qiz#V8v0iCm6@#y<JYPBiYixP7Lj>kF>Gmh>Gh5A`cqy3HPU0YG
zpS7LE-~Yh6BfDN7fMusY(C&mMIIrfA=YgKmaUnT)a4AKUv=2iAMxvBpLDMfQDzM|H
ziR|5QSK{);opArz*ACk7$)W38W#B%iHzE7so-?`m<ar>2_vwT_yxr*Q1tEC$IsOU&
z)>HcRiwCA`F10xf>+5NDkmrM9#(TbpVA<<N#!N8x(c}+D;hBzPeg>H5K*G`yINU$C
za1;Eg_q_QD_~*L`pN+6k#knXmSjA^OY!S~3J41A5tw{dxUeoWem*f78mat^^p@C`m
zYY3OaSy;jHYVjvHm7X=^G<>c6rtC0$(QR_v5w<$pyFLhC&l&!051-?ih<FQsIe6FF
z4W?M)F?$VP5Xkd!fgjW1y&tT>?mTz_7N)hi_Z)6|U_s*nXNCqnsD{_Ra=H1!lQHGd
zmGFP{jFH~(t?9=Mci{%5mopdP2OQr=?!e-0b=>~2Fe~Hi4LC6JT+k(0^pN_)>+lc#
z(<#Al?^l#<xX*;?R|I_D(2qF=eqT??91hbRj!q4QjcD(CU4<X@mOF&N({FARM8Qsc
zZ!WmO47SQt@i1fQe_AfEUNo2S6}W0ywC@Pn{z!RM0({2Du+SK$_fA=jf&Jh6?@@x8
zeFbfjU^)F;RJ-B!QI_~PIIHa;n=o82n6{V#8)=VB3cv}nR|HAENcie^Cir62=E$3H
z4-H>41MFk_vxej|(JFVX$)UcJaO2K`A7`3pt-=Yxr}Rm_wUt-#7dSWk)x8{&|2x6|
zGn^{f+HwnS4$NL3g`)!G#0z0Zjr#6kcwZC0MIM|P-uIysK5G>Auoymg<XcGxykpkC
z=MLP$u_pf%{<tKcUJGyBEA+MrZjutItcGO_c3ITGM+*Yk8%h3cP4O!Dzff1{1~`W8
zNZDOD&z$i`8(d{(XH*EEfAfd76&9xV?ahK?WcA!%!4H1~7G%IOMha1#a0h*yWHKCd
zZ(aQ#+}V6+@G@Mk_Wsykm^#z$R3MzoO!dcXFZu^q&9|L~*``e=E#QJcg)}EP#X(3Z
z0%lLN^09=ewqD*I1^aUD{%#9*DKzaB+=ufk9lNXuOX^yS3&RX&jotUcC%Vi{RA4bm
z&EY+;^zDr*YViBb6y};Ro%nxej==HzU$v;fM_!Z~9EESN#A;~4m$fszoZ*GfyY8vM
zdx|ZsTws;RZz4MIfwe<IfpG07{g!?3etu56AUJ6^g@!)d(7EO9RhX~aa7Y_oD}CQ^
z4UTw2VRi^^s%*QI2{YeT`=JLL9?5mO1+O3f?rH+J_TTKh4a+>)tbP~{mG-T<18<<O
zuQi9+=smga!@pj2L>z<va+z+ZfbUlYu3N#1BL`X^!%lKZS;t}DBKh)WIH7eP=NXti
zPKvc1HVV_3vVjvAc>i?3M=BO=9AO0`PMf!IPwS$LJv<jqqt^>p#N8@#gOj#Vm3)8~
z{@wI-f#YcZB@e@SHrfkb@XqzWE0b`(wCa=duutCV=oBm|JgH26|Iql~x0m6e2QB?R
zF!P2@e!t-1DCU<@a1sU8hkr1=)9;%R@PLi<jm?^9&+<%f&W7V(D*d8|lVjW8Wx~Td
zY+f?M9(U>6OX0j<t}@)PZ_=0464*#6?;juRI4F6w5f(75IV%jO?4dZ(0LLx&8j8Y;
zl{r1+`q>vUb6*;6ak-H91hyI76($d>FqEdefq7mUe%b>IYXsPK!#&ZyuT<bYcI+el
zu-&Uf`Tg+I@57kMgz@eBn|ZY1tM`3HM_`)qp&$de`iAQA2e^-p+2If@H`n7f2~%yB
z={O26$tJ6h!*<j5Rc5fjHpx12|2U%(!C?*iH%>;7`-jQfr|UMb+5Uj_?=V})_!$RS
zOHJ<8H#n<H*w6`XKi+cSKUlC==e`GQbl;m}86J;)7wQFnzL8G78TT{O<=>Nm@ToJp
z?>EB9HhQmu;0sdyCUkI<fV+GI>}wj#PXia>_@ZFR8v1k=IMRA1C=Pz0RPIRbmja6W
z91>s}d5v){_<o5~M=H$EI8@F7zw;5y%7FKj{m2)CHI0n_<-xKP*UpQ;y_%IX1@QbG
z&acw2%Q8cG6-=Y2dPM?WzT<bZ2Cm6|MzIqvsOYt6fyMm$vPr(Mkgom<xFXDwTM_OG
z%Vm5A`=wad%EP)<Jiq$jLE~{*6<G4acl;v(-go;6?2(1JCIa5B!PE*l6{P;q>g!0O
z+mHHipR>^}nDLRyeHxg_c&=9x_BCx#6^CmWEEojgYwg>Qh{EPON3L_jFKTTA)!?w~
z_H}Z;?4CVMRDrV=Od`qoWK|zG*N6L7h6Ty*Vf9(n?Eri?(V=(^zZV0i?i(X`;X{${
zD$MS5YuXU58`$}G5vCl=KX??TG4Sjp<)L%n_o*ZB<C4`Qq`bJ4{uVtAzuW3QKLJzd
z98$M|wOfCClk!-Xb0EharfQSb9)S5q(`s#D$KHn>uZhFsxLshaKXYlX;G<3>vd(bg
zxq$62;C%D$Bu_Y|p?K~YTs5(^*d2ZmtLXI*KE_K!=L>(JIJ>_dUX(4|a{)H{a`A8x
zOkEt45kTyEXDg|H(&gV*_`%6x3I(M8Vf|6Zb_uSNvOJ#wUlF3*5e$zM%=}D(9b`wZ
zMZn@d46O<9=NO-cQ22bYL~jUe^<IDL6}T+QFfRyprA*ls1;5%qDDDj(%{Y4_4p!Ft
zy+ZC^+~0pbje+epa8Q!_XL;LWktFyftHN7y|8!oUR!e{fnV(va`*R3u=dD!O(_mPX
z+@BRE*lJQ>hkNHr4dHI1x13q9B7Jz^K{)z3w@e1i^oE6EKU@^>HX#q@JTCrvFKnO2
zbteaYA5v$g1g}p8yWEF+w+}4tgt-cygq6bD@lO7d@Wlle`j_yG@8t>sxI&{qs2#q)
z%CUzVrVo`Un}T;G|8!@9ldR2JCSl7R@he;4{FG`V3N5@3IKM|`T^9W*8~bhlA>O&|
zZS@Mg^}l5aM#O13lZ+Q(*|Y&xX87@~mG<B8f-~bS8F&|s?gkS7^Zs9y9PH^^7(n7`
zxjFZB;TxNOPAtJSy_q-lVClWbtp32u%@2j_;h{o>>m+Xa^f|pF{Ica5J&AuDewP{n
zzblp2CULfsxzH$hQ$<+QD(oumS)2t&-ZB<lhW|7qCuhTNT=KHlV9Cm4i!%7qP_xP}
z_%_9({pIlMlg!l{aQw6(8n^3U`h@gQa{SbhuJQG-Md9b)<owuNazEMz-`?^qWg~2&
zQ>f7a&%RP-q=WZ76U%)AudLP#QNy(wXRr3avM2r>V}U2xrsf9W?r~osa{d=}Mc)s>
zfBK(fa=~Z3@2X6~a*ey3IpEFK^TJcGfnMOmHn@7yD{2nLsLpaevi;>pp7StAiL9gu
z$!9gXxk(%M56#m_|Ihc$ySxRyD_cM-hIr4T5_%ChDR-kLi5q>V|0xQydF^iyg%eLv
zg=xdl4rk`K!kyNBF1m2~wk$^y-=8*{YzeQi8ob^P51h0QwuUoP!t}-Aiv#*p7vYtN
zoxvpD==63m2wtAG`;UBoKhKl8Som@7?L;A%*U3094nFpvk46f%zAq$o50=Un*-PT8
z9nBnNWc!;(9_)Yx6eDw9!fh01z6!!uw(h*z1s9FQ;E%)5K7MntasoDWM+X*6AG|B;
z6YRv5q$3S;FMJf;sDt)uu)IHsD>>h0-UL6THC-g%U(Dv$#|oESq=_ZR(_x_9%ntvl
zm)Il^&py2Pc?ayU_0~CZz3qQs+9M6u3pY%X>oGdw;qKkA`JT%aa&X<ARDLB`p)X5P
z8P0m^@JR=zS`lnffcv!!ULSyYwN=&CVK=7gorhr~<Nv5t;VXMGx0=A86c{dR!Ks#;
zFIm8sGoK$O?b$TdCFc`xD(8nb(*ESGv+g<#rwv|9IRI}uWc=VPEcG>)!5IFry@}@>
zoJeE*fwV_oxm0a(g)=M995sW*QUx5n;4@Nm0!QI%M%)^Hu!5)zs~sHJe>Eor-o*ZP
zl-v)mcjPNwf!|)^R=)<<v<jssz+oCS)K}rIlet@N!OVec7NmaY`k>%^8?NS$7iobd
z=+Bka!gK!~*^~BykwK%ueVEI8_y5}yfnV%?lK5W=&0qz@xlR_Rka+l!x(ZUCuMM5v
zUk583c$8uRe+)?-CGl<N71~e0JQACYnqX@AU0me(G<I5ewgzteQeuz>*LX0dk+@M*
zzH9?Ld5V8G`94=ZzO#++lP>OY5?AGCJTL<L&GUtjcxOUXz(;uBJ`t%$@Q+n*YYIH?
zA4=wFC-Gkgz9mw^s%`Q<B%aCh-kZE%b2j8=CHu?1-?&&DW;I{xZG;0B)!6pKv#hT@
z$^OkSR3FfWr;Pt@Bj4}WbYq7-9HG(mki;!(=xrQf<x@0HB>w#6?EV<oIr!x!^8F&&
zXMAGeKfjw>AHui7bjL`4l7oq#Z8iMkU?W=*Onb4DnSB3O_2i%Ja0!KX8Hqm{qmt@`
zMP6L=Xn;GNr*C|M>%w{HtKfu<mL24MO7DY+1`?0#*-=K`ckH{vZcgIu2Xe;9`;aY_
zGTim>6CZy=^1fpG`>L7>_~+=?5HVQj?^|DTKJr9czL56|&rcp=D~G$o6}M@@tXb##
z$nk1T&|a~G1$K^~FN19qgBq>jXL0nq$^Mq!GZrKLhg(mce{&D6|MBER0KB~?Ke-ZK
z2upgN4BzQnlP!V2KHl&v1!i&Hy-2=~*Z$2}(tmxYAUv)Z-ki2KmGn<XnLafp<w?zq
zo`UqJ(mmficL!z*3fSERyTu>8Ukclq>gG(r%}U`0g|L`=WzT1L+}m34E_`Jw?)fiR
z)+*sq9-PVa>*p$5Wq2-y<bTt9_k|AQ9lo4Tk<W&WL)EvD@jNeCJ*o2H)BtWKGTvs`
zFS#HC)@lyXBI9u$wEv6Gg1?U9Z@A%k?`={y;C)7K=A~dCuAda?a87sWm^$pfks&(?
zRxxB`-v@IX3y8T6|5vtlO%E22x+;1N-eYRnd=TCc`Q|gp|H3CGWeXqv)*pTq-dr1Q
zV-M#SRGo~6BLYsD_`(qemH$P-!vc-rWIPCKRop9*?|vuMCk75ki*OEy|5+{+$HLbQ
zmySikgPNm)De!{dr-fj6({@F(RJd*Iaa$NXCdHyh#-}70-n9*c_i;G{lJO~V_7SS&
zexyFV-}NC}!RXlU3wM1?$!UUL4{DW>{3Q?1q*w61r`ryC!DW6=pTC9!HCFk_{cTG}
zRvj5HBX0Yu(F2|v{rY7BjuKQWIuF;}9X$IL-VjftP41r}pG8y2cpDYEPdx7Md^5$B
zb$Fn*q}BnxM1QDp1I8zodUNGD!I$||chkW14uk4v;Pm(~M><&OQze@{JicIkVk;cS
z=2~tIb6hC6wjFNod7p6#wtkVcSsebNAE$I2W^jL}ED1NX*)mv>?T=UPP=&iLvfMoe
z-(^~|R)?+Bf>O+3<)X2E9hg%|RNfd4h}=%A2Z!8>=Q{%53uOp5hCht%dT<av9i?A)
z1pZpKDc%U?dMZ|Y7Uq%3lO*-khj*uj?BGW!G#vUQpWXPF8yt2ruR;^PZX6ly0soRb
zA5H4JC04tDP}o<7LRbTqvAS7$8LldO`<vu1kNIX_hll1*+)#lPl<&U10aKSh4ON3%
zvu+w>!{ti4TX(}QeC@%xu;2r>AA8^>i6W0m_+(H*ygZy%`!2s4zEoyoPx7xvRHr<L
zRV#Wn$iTb#Ken~PbjkVeNq%wpqlWjeau1`IB&>J*^V}d@ZujvZ$yY0RF**xtPH0bw
z!mmz$WBCRj7v*Ro`TE|Sl<Tni*m(;f_>J<S(guv5UhLJD6@%X~yp~{rdAe?PY=;kz
zEm^X`_MR@eB!ANPjgbiatgv2<4>q(|3KfHMS7TZEVZZX%7xut{Zg0!D;I3QW3svCQ
z3xyFRKk-3VngNLmP4ctD-PN-%55as*A`?9DRpnYm2RJ^*BAB#q%q4rAoL~<}`D2`L
zN^{xC0QhaR<#$F{>q&duML0zFb|v{dgAGZ)$awoJ>CX=_z!5)6q|)Fq;e25h_&9as
zwqm%d=HX)+*q!E<NeRrHN*l%mFKw}HY=O;Aa&M)E<JSV_U%<jet4nn7)&$eBeweO!
zLp*7ZB_}(w4Z_BSlXfKk>-4_Ov+&D_@qZiOJ-<wq=isOXm1kREVKdHx&6uwsen!Un
zAKH80PD=Ds!5;)Tc2goQBlE9~8=if&;q@QHyEK{p@WO}xol2rWyyWB?``xh7M@{Kf
z#Gjx2cvA^(k-9TaK5rs5o081ONZuP1^9%O7UaDjYxAwT6UV|5MLM6!jk2XQIKg+O5
z$u&!Rcp<6i5&67|%!92V@HIA<<3HfYjAOq;;i2pi-run49VWXB_=jm~?IN6&&Xbk}
zKWt36wgMN9&0Z;k+wN(K&%?FjOO565>~qz1lK*11rK}kqUYNW&3#b0>7<&f07TZ`Z
zz#APd8xF(Qw)|b0fpwgtLq=ioi9cO)@S6p5&+jmGP_p9`+(~h=U=d!VO5XbgzF;VM
zV<YDCTpke^9ET;&?P%WwKj0CpAo+_vzZ*E<&pV0@Mq$hRUvpgWX|B71q&;rv*)}Qx
z3)x9DeSn=yp0h~7LmPHnC;1Vo*D2NEZ83Q=@8P4D<CXTpEd2$WhT!~nRuabWi*&Y}
zUU>TsbIT*}f7uyl2I1NW+SYThLdw5CZ{eiwjlW&t(1I<!eejc<*R#Pe^*dX)Zur2@
z7u!PNCu@sx?_fP<|10Tmrj5=^@;o7K<<^)9FTFVHPvZ8A6giJzX5%8(SMXWxpKqVQ
zUQZA7^}q%n3)BbUTNgt;I^n|AG>;+pX>Zzr*YN1$Q)lMjk@k+UHn{)uk(7D(tBq#?
z`MeCbwRI}YKO2rn(`bd~uYTJ}3tKDcY#{qXC!Lxl3~z}$o$(y5*NA#83M<|#(kJmm
z1;%PU_?Sf91c_S+tWO<;9p?&z$ngeooze1!Ga?H($@h!49`W&o_fe*L^~0Rf+UgHs
zzw`hGvcI%P_IQx_dDlZc&BtKv@1O5eW4_<>EqfLQV4w42<FxSS<rAW${M<dHlW_`u
zV!Po9dEVN_ruFI!Z18uS`ahU1;~xEeSl7xWpOjz0$7TB};LwJLbL9FGr1~#p4Sq%?
z9!0J%nwYi9b$GLM>A`jQUZCw(Zp?SA{;OZH8P_Yd&dDzvu=GTrFdKa7$FR~7n9oS+
zDlaTh+Cgaym*zg`lY*J9RB2_x4<Cl9E5NO1t}~^>RUUV;wBW^-xV~XHMK+q!0Jbf(
z&Hn)JaQKvS6#ha*x4sGUJu~n2Y_Wu=3I|?pgq^*e3+&*gr|x1h@HKUNTJk)_zjgPI
z9q?%zyX&NVap$^An>Czp%v{<NE-bjWdJ2B799nx3_7~~zPKGJeYz}+FNuyjF$^6p7
zIMsh7UaULtsSd8Hq`gVvWkWpN4Y2Fa75yMszNT;W1I(#WKThHjVqCH#aQe#5hyHNf
z8!!HO_}_&&Q_`N<XHspt0J|{FPzJzf1kWk5Vm|J+`zcu@z9sms6FW?k%<1C;zbT+R
zN#^?=bZTTE?Hx&m{c+;(_+O1_l7HoAMu;+;OE(lk+DB>b{gtY4a#+4LIo?FMVZLLq
zU*qm!(jIcl<TN&i>og4FNc^1hi=F=Pk(=G3&aiUjKRYtNIg;^5KZ&1NysMW5A07|f
zOOEF+y(@bL9H`g1gS79oJlNy%;ZUz*$)vr=G5PjHE-amPH-xk|<A(fuiecBSyQfKe
zG`(nN&K-C;@yp|QSV=1=@d4Z(=r5KE>s*qvu7&S+4zS*Y&k6SSJ%Xzloda{=dv#&?
zjd0({?xO{8`t29jyI`ltj)x`i+Y<NFFUj_libdr4;O2jfgFUeGrcTBh`1i5u!Z+|?
zO|?Jdd2LL|bo(GIm(g>UJTE$aTb%8O>#pk=KY?BC6Kp@iwFk!PT465l9r7da^xqQ&
z?Xbe-*5WC61MM>H8<^sYmCqzhduM5~7jC|v<gg6qa3&cJ!LCt43QKV49}eXan0jyH
zy;WHJMQzR}_>G&M|1Y@3ao@FRIHYlOfy}4(zdH8g8*HuZ@Ms<J-dXpt?=Y|Unj#hA
z*Bw~&f5I$Omo{#O<;_$C|G?k;ihgjwg0_(hG`gsNk7r+Ff&113N9f?3b-B&F@Xhdc
z9X1l5zWtU9-a6#GlLO8bQZx{N`yaBTZ-x8M7IKpH0Cv535V;*L-Mu?O4CYRtHj{zl
zZ&OJK!PRbc`{iId(UjaBa8SS&mc4LYi@6HPKPlMscOTrhG*&4K&jirDIt*(yCmWD_
z+OO>mCh(tIye+%nEf!4+4)9UGEfUgjS60M`6Rf^9Hg`9CM)Gy3A3XPhO+_B|P|isY
zfGv4aE0y5^ere@2xV6o9LJl5gq!mqv$5xk5lK6$+(JgiGGDT`EiCeXMRn)`T?97`;
z+@yBma6cU2eSSBIv)T=-4Zvv*pG(Pl3D-^4KditO{4^uvc(#pexBZ0QE(Ds9xYe5!
zdyWHW?`^b>B=NkxC8k{Pq3V}^m0+#CHZd}=fymV}WdApWh4{+BcQcm<$@do=moC$V
zcO@lgkn_>!VUeK+OT7NCmaN}U|Kp0XJv_azXKE)LHTzW55q`&zX-(n>llqr^V7EiU
zD~j-mBU}@H@F}hcx4rNmN9E8PFw25%7Kx`)MZ2ZJz3I*DB;LiFPFD*vbe+~F@lWY1
zzv|$N#~K<n;F02AsqbK$F`ilSd)QIgM)bp{_1w>rxY@@%aUMOK|MAHfN!WASR#h(e
zbxs<KAT0P{nOY3)`ruYf)|YUvJ;x^kADt4CXNPHn-d>i1ClAK_A>}vrpY9DwcxS`j
za2nX<pF`(9IFZk0imXRr!0~QG17?20;YO}6mK{;0hhPue=am1!#v}8O4dC-fgJa2h
z6z$%-teoH*N|p7W;78?&?hbH*mYXJ7pTc>UkcJQJ7q-;@9-gBOGWLR32Fq<;!-DRb
zkumTlBb(-S*n2QJEgJ3`+@{|QFZd2^tbymIc<HL)pU1XwRKX{0J|>sI4Qem(M}wq&
zrul@dPobJm@%$CMzL#1r9Ucu>T%*=Ue<IEHoM<?5FDnxjtaoBg>=Nv@ZO;e?EX~v1
z6bS2w9{tV+f2+Nva{)g7&0Ay#{P?SRp$q(ZGDb-Prg$VFV+%)3B)jZ|t7e|XS;4ce
zxxwnN-+U?usXwUyCRUlk>ddUZM(`=VwC5&plEKVh9k?PQR_Zv+;8feL1$VZl8Xtp|
zh0hM`gdaJE*IB~HOk@h=;L)bM_vG^hzFG(rqduH_I_0SdyJ&`(mB44Cf*WMuom~~)
zS72j`E>kgh*R$7mufo;+!_?&X6jbtlD#E@i9v-|f-I3U53h=`Mu{-Q=WYF*lUij6*
zefq6%Y3vITZg}e}7i~`Xau0jcI@%j~`d{vDgEtPYMXkYKZ%Q=r!8>}MGA_d^597Y?
zgiW?NczlB$b6!x$!-WPiKR=P}1q-{$`8&Sn<Fzq(v~XaI93O9G5&HnFO2^866qc3d
z@p%i!i|iFU0!w_DTx*B*rE;&4^B2`z*47HY{`NB492V;JH+~G4y$W}+hkN8Gry5{S
zxsqU8cryOAYb6{fYi@7>u4z29u?)T?=Wpc+?{?(9dK+Fd;*z`sYuH`o&xM`lcdG@%
zyR1$WrNK|KOy6a|;Xj#r;^E$Q`{|qTb-IZYQE&;L)ulRE<>2XvU^t`KE~y6g3{a%^
zfpsJwS<S$icGRi%@RD(r`!t;GG`Y<hwx5aUWj%=YY|X7<(mtfW;ylF+pS~Szrw3O&
zt>O}g3#Uq2G~xR{6C_1pb=o*XWjJtm)rtb#w5T(t0LRnDQtg7joRx5rf)7R)tLVcf
z143;g@a&HO!vpYoFtzbkxZWbT(g<d>HRIuhW!#Ng3}HJrwLBL1C;K7Eqi|zjqze<Q
z)5oiJ1b+0z<;ND7<q3P<aoCc-`q3s>RdS-r9NzdNU6-_<8O+~v+rWz^qfDzX_ql={
zR`9-<7io*|%HZ`xTR4P?>g;z|n?|bU6uh;y@BAoyzlx355ze&YP#=c>do?O$4}bfx
z*3t|6KYW(t3O`F%iGK^1U%FOs4z3Fl<m`Zr%Ux(Lz|*#tW34d#{&i`0xWhwgp%%6*
z=}Y#3wH<9AR>L3ubE-QJcPT2o%!faxD{l>e(>0t^a$%Xgu6-o`MYr<p1ehiyr7#Ho
zIPK~l2k(*n?}IO#z%RVT8%|ZL)(n9c<;>rlhmGHSjVAG}S_|KeVam;!--6+iUBVBI
zV7`)x-6U>YUOy-Wn{A26AaVN8uLY9up|Fi_{9uEnn`&gelR(CF#Y?bZ<IBxtJ(TEu
z?s_DDk*hpzGc3=%p)3Nnrx~@NgkJ{SeG>|YP!~Ba;d!b#LP6;YY(o2P=K^f{h)O>S
zZZ55F_zb_Hiz|zR8Q)KYPr(uMr=G+TkG9c`z;U5tBG=&|`R{!nU}uIZr6kxX>z#EE
zd}wnqMJ}At%d<q*V^LJ_VatZ|V>bl8fb$J)MoVFy8_JAN;k&%z3ng$`x<G0@EI8>d
z@D$#!W4T-j>lw)JdIC!Z>jvG0Z=HSGHVnTWJ$pMBUO(<X_yK0$Z6bXW{+lg-`wQHr
zY|wliexfv4`x(CeL0LZ*u5MA``wmZt?qrRDhc|zf{syZ{3uJ`Cf&J>q%dkQ&hg}HF
z&@xxB1oP5up7ViEzE`1Hg&T@~)_TEK?lZi<U|GM<8ZIQ>Dj)g}4p4tj<qQ|CT`Twl
z(+ED`Iu83JyrQNw!2H1fZjYP69$`DANq+0Ch(#TEo3U-u7Q|0Scs6Rmx`$W_Ho<9u
zr?pk#N7lO3^zi4HgAB^B>*-u6YWPp1<Ti15sI)7Q3I1=0`LhV@SQU`Z0C#gycx;7B
zweqMq;ONs+%DnKir9(Vy@YII>W)^s?)gy!#w!HA*Dia(n$eYLw@AWHYCH(^tD#|PT
zus2Ke@Fw`l-tjHl;SYiSc5CQQ$j(@G5rz9Tj>)dV7Yy=)h2f`k2kI8#+x;DSyI^jS
z<%8c~D+#v~@^H}J&u>4$!L^y+jNnZ?yuV5R#mlta{|w;~W9G14_^W1Gbq74f#)o+$
z=pWQsf8GW^krQwu>&y7qyom3IOHYe$$b;iHN#wqRMLJ}z+=L(g*}Qoe=Dk;XBo+R6
z$dU5{v48bo987&h^Wr#hxLiRjtQnDe?IWC9qa+m$J5l;9PQxWL<;$f1=0QpC#woZy
z<Ux=>Jn2^8I0wHQk~!cD8#QkTn1!AC6}#PFDZU$8zu{-XJZGFqoO%A}Pk8a1(3jIN
zWpP#gI=tI5p~?m})~9{B27lj@u4)c*h`f~DWQhBL0Oh7*aJ+{A)(FLT7kP$jhVZ$B
zq1!Ytg_pP4LHLk-blYZldEkn@GCUWnD$M{FO3%wG!6(NPH0WT9%fISm;O$|1^I2i3
ze<wpp|JZNEndgk~`ge~+UO1g4L6Q?@4S92d8{QJ3a){(Vl%H~@g0E)|RPey`Z?qLQ
z!)cx2y&Q0)&T;K!^ydli^C@qG`BrM^m*Cz+epfD-Gpy(K0KA*K^v!mdN=nwfAHGM+
z#!2GJ>qp{i;NeF}fh3+8Q)W>GA8Vs(Ci`RA(&d*3N8j-mA#o{riT&|#>$dE2vj4?O
zW?^K#nt#+QY$Tsuw8ns}XQOCgBgzgJS=aaMgDJgfpVGrJ(Z^}D;4#M2S4jDAR$m>k
zM}O~C5&Jn(K5FvM=i9=pySjFf`0}*gGqPSvq)$sKiJz8z61xw!4omMGf<+W=36uWx
z(A7w}Nx0dI?HgGi<xAUBQ&PS@(X6eJ^-->d+^Hkw>$#<8D_I{!bymCm6Kv37cbFPx
zofeiR<tt35pKA-e`|lGCQoasxcINy=|G)m;%)CYT<3knaKk(QFrRwkSj|JI9vR;bw
z$?-r^zSO%nM$E$_&3@NN`HC|6O*ai&4C*aV;`p^=Z2Bf)<FCUMq<r;xm{||Oec92+
zW#O!37mjW?R*C+cG^}Coc<Tks_A+Xx8hriGUpcaV%FJdeZ57ztW%WTlT>r?MRv&&W
z5pGZeH{Dv`I{=Sd59_%H4+b2WJO)dN|FtWEx30G@o5Jy<YjfoNOU(M#rZe!ep39{S
zm{&aU)hRgB(3L6~9yWZR;tq?)zDkdSJGl?safMljUJH`-Os39+x?O~a7KCfa`yj2}
z*^mI33B5`FaJ?q?fh(|JfP1$WoNOLq5e45m<7MswJI!Qozd`av%4QtkH~Aanufx5^
zt37StIE&cp8L)pur-~K)@zK}YH{q~tJx`Cq8~&}h6u~7lzmJmlUB78egA3t*^BaZ_
zz%d@iIyG=rC9k^{tju3zRs~y33je194`~QAG{7=U(ogolvFW}qAHZydih6Qz(tYcs
zR=6!meQ*cNR9>F{9A5L%J0k?A&BQqO!p?j4|JVjE#k~)F3(wmdUF3kXIQNYXz<ZK)
zb=Y8Lr`YfP@T!Pu7cH!G#JFw>u3=TN*#hV3rL|4M9g7F1|Kk0lQ1Oo)Ut!H^#qvLJ
zm4T}I7dY)d?LB0Dl#Yd@oCUadTyDc69I@|x#XRg1v-b*FA4N%O2m61pSGM>OvObD{
zn7imQe6U1mkgRv$Y0-4$56tsrYyJ=%x4xeK8<smEy@RZmvO^{DH1#1oueg41B<n9+
zi0nSU1x}RMpwkLJi)ZO$fS;`m(?5p|q7P5g!H(PJQyO8t{%Z%>U^l*YYqH)0=f(Du
zEU;<r;8X?Ko@wJ_Zg^*V#r^y6&}sG8obZv#XG(Wqb+z-mw!`$4Y5xk~+sY-{Tj6si
zccU}m$Hzb15r!$d0!`B4OQ#Gw_+guSIj66{wvWA}#o>8n56LL_Y1=&wQTX%Au*zWA
z)%A6*G;DSGaNtE)OlV8h4mi>O%tkLblU|f#7yRXfRHrBW!2P6{JZxFB_ox&6C)+z_
z51jjC^HvA=Vp(y9BCHd_bK4qD5q|tv9rmvtakYdmjV>^%!500C%cihL2E_#}I8d?r
zkqO*Ep%AVKCpER{>XYp$_f6};MY>Up2jDYY9zS*AAM%;08Zg5t-;+l0-%0aRYOpDP
zp^G6Lrr`Q{7d%;7)NKk!GK*Ho!?$_*KAOO)&sCKrU}J{Yg{NR~_JR&!xP$*!oi)6J
z{oxTlcslYsk3Gy9?aa#q&+2eV*}?{2L-U#8)diaPbFk7C85c6XA<jxZ#|h3i(fzR*
zPCmSSqbGcW>w6<5T<@UG<__=Cq0%Air_^Ul`})AU6z|jjhJ9^KqP<|s*4C5-SiF?W
z=rT;VmriUB?%~{H6ADZ6iQb=tqr^F$M#D<^&wR(>_j?t3BH`%C;q?LdpYo@)6u32-
zG4UO2{@>r?WZ0Qw2R9k-vBZ(@o(I2AI((PR4?G?4;8G6!+{I-lnQwSwC4Axz%(L?A
zcN6@0^UWW(VO0gr%Qf(ye$j?%c*n3f8yR16EKc!dC7k7OAhQTQJMo`%1H3QlrEMX6
zS$Ff^2k=MlFJH6Z(Doq8RyfRHCg>*o<!u!EbJ!=6dUGQD@t?Y1Cmf^}{wfaMR;PQV
z1HSd4z$_A8oxNi;0B;{jm?rb_()I4y^ussWE8WR_*2u%=Pe)*O4&gn%F!k{hJwxzA
zJKZO4uyEnO-IK8IP<1p}A0xq%;=nkpo6yf>3y;j_7tg?Z<+TP*!%C(F4b#N>_NR}-
zO;Va$=V3p#ZV57fcZ>QynK?K=VX?vp?y!8H@B`+Lv<M*UW6<*S<u1a$_7^F%VTMai
zl)qus$k7f>SpSP1`%k#OW231uoN(iZ?>gMVX3MJtcb3jaufZ3ZqVr`)d~|~moe}o;
z^Iio>I3Vk%H4UsiY}Y6NuL@plW`<cFHHL48m#%rfWrS5ZC+Ilg7stOVaKcuCO7Ga<
zZqG>_cKF_?l@%TQ^RjgjA1uaxUxWtc)HkW;fpZo6N;kmixi5GHVecElKI>%s6zc;i
zewdxl@b3y4UsWj{F9z!rroQ+AGrr}@5rJtE9vhMQ=*Q~9DWu_aZ7R+$aLGnnVF}pP
z(gOcGkKae4Em97S7s{URgT>71Qf1&9Cau0?zG6mzm!&#9>|;RH0cRQ6xT?a63tkCi
zzGBv)2i^N&yTg?hWPbg-SGgbe!Q;|HA8X;mY%BZq;NV)0;%YcixXo4@F0XU0&xf7v
zvb7q(UykI5=E8o;YyJ9gj&~O|Szn-kla7iBd{}kk|K~4C?w2w+42wOLK0)R$vK@0T
zHG>aUo)RSE*UB`GJvs_&WL>>`85T=R=C_1D);&B=<})(L`pKVw7dKD;ChIBic2^{y
zhM5i7p83E>SyKvZV4d~725#`LU+tS6;4wF6Ru?#GwuI9T-W7Qx<1F0HHRSICoA5t6
zdm1jUYm9M*A7y-*CF@5d@A&-H6Fzf_vDyqC@NHdlhv)aIsTsj%c7C(*g?VMIDGg!f
zfs)V*u-VQBY-BwPqu!2*09Z}o{m>q`QKtBZAN<*Tlbsw~;_=Mv5^NJLC@lj=`sFwT
z!y<IXHDvyx)P~yj2w3*4bC3|cb-Vj)DBM%~{2B{<^Yg_+SKwU!kz-`OV$EL*>nQlr
zSK5&+@Cw73CvotnO9KC&ujsGOJstyBSO(Spz<9<x={(v=@WjT%;6=Fq##=j*pP&6T
zZVaZB=xj}aZy*0_HVS{53ZF@YjcWeK(S65r_5E=G4=LFtdnT2U5+NgzNVX^=N@SBQ
zGAq8>BV^CeFhfR0NhL(eO4&-8S;_W$-QS<j$NT-c_kQlZ?{m(*&iOE~Y=gO~-BlA|
z?mO1UTH(r5$L)#y^3+DTmoTjcYkLZ8=<|736?{Fi^G^c&QU56OWBBLT3!MyDRrS<R
z4!k<<<Vxfx{(SI<SWj5xtJa+j&rhaS#=tRWcmGR=8I}Jv5$gxj*uEL$!75j`qloo`
z3Rw?t6ZvvphMC0r!N)JJ_dkWTa;{ku>j&A$xVLg)I{#`<BY4_m^jaajtFBJo02Z^(
zyhG%N>ND${hy8aNkCnjYPgq%%;LHv-aw7jJsjC37p3uFh-Lf3Ev2>j$)}wT#6y7R@
zeZ@1qi1i^|uZ{bv;jP9rg(I-|GuHJNFj?L|9VWP!zQMQ-zIlF;bw4~vo#9XeUp3;%
zCf46nzEt@1297w)YD=sax!tfaR}U*kyWU>Gd|I042^ZhP4vw~GiS<5hHE!l_VbS*q
zEyQ}D+y%;at?+@4um@Ab{M-ET?q>LBXf@jytRmnk`5DfB^=xz)j*Gge@(H#a{A&9Z
zK5k`8H3;(!KVR#Fd)?(Z`r&<QBX?V2{ZH?G$6z*=X4Pi6J1iw~1m68?<;!dMG+Ua^
z9PG&Y%B&VX;qPEJ3x}PYn=FGl%YQfih3AvnOP|Ak-&b}m!j!B#WS+wEipM0@VV$Sn
zNs09$+hiNctFT2lO;|dd-hJ>GmnP1~r-LrBF!}KxavZQgrQsSeA35`15s47|=KEO4
ze{kEArMaW9<G})wC|K^-9S>Fbzv(C*BHnA-ZJ`d6(CH;c!p8%bL(Jfj3B5n};a{)y
zyl%jHpBSy8;m6brvaaxFG5zH*Sbn#ckUQ-0mhomBES>u`+y{<cC>AHyOZplp`uM?l
zOb&&_dY0HgvNI8IsBN6=L%9C0`>`mvNlL4n_<o=7^+Y{{Bd_&)r^3aB8vcp!i8t|!
zIk103@o)z0c$TXs8{Y3E)R6`Io$3+Ihj~bfF1>=A#6D>g@x29-N)52o&U+u8!6Ph}
zo|9?e`9X)imDs=EnUV$)n7QDFF7f@vOH~5t;a>aQqam=&-HbR|_~3pM+dHrnhmbxe
zyjHTX;saO5`&zNXuW~NjA=cL%@2LC03x9tVrQ!lBuF&@Jz|WX}b=biCDuF4-Vd-Bs
z*DT;R*3bFEaA4S*U&gTf@m)0HFq!;zkr5nRtive=Ur{lTya+qJC>c_KKdOFsrvaM}
z{rhtU&dA`^RDy>-9nd)sC(T@9RD|z7vAV7Vd*zj+5%cX$hQr^e!|%99ZV>bJ%dI|t
zQH7t&%FYn;`4`9M#V*3SBR1v2Fd3)#Ic-?o?49f(IB(f@*ERU45_2mL9NzPk$plW@
z=cda7{}p+4>jpfcoyf)nXTI9FZw8y){hLh#dtaxSuz`0?GucwX^XV5>t>EZ8ZVROF
zSlzW64>)eN@c-*mv~m+#-Qc7S>OIR?uVT-ecGL$Z>Ei2HgiEVBWpBf@Y=H(-u$pgI
z+8uaUC5d|ic6hU=$RA!_Sb01QhqjZ`-G?PLs2m63h&NK)L9oFUyMNuVDAS36aF}A`
zc6}$zUTq#73ZK;duG|W%>0O?Wf%SL(rfG(`^6ryF!}q_bJbVog1iPChzy~TXn$*LY
zA-OK`u<?A^&lm7wS!8D_?6mr_pbUO$UN@Eu7bS3r=fiQ`S?99hGp#%uPhiE9pY$@}
zptie#nQ-e&(Tm4${Lw(Qbokc#w|BX4|AX<)csOI@#o<EOk@IJAEUaEVERhet`gQ(b
z7|cdmnNSM%q$y4Y!yg@nAD6&~Kjygvz)D-sDXQS6!VD=tn1uBkO9jj!Pxi(g=AX~=
zs)NsKtOmQnOE23(YT$H5lf8Cu+qd}1H?Xdc_E&4TK(}V?HT=A%+|(47sqwq=0sbeQ
zd*muCI+ktsp2%O_Q*sIRdvN_@8+<(EpNB3SZ4=nv3J2#KZ>z%p9xbPRgQF~tMJU4=
zhZu{#!e(7@jB;>&$p_kD_`#NEzYOvDk)K?HMEvv64KdiWJkI|oEOMkl=mg=olBhA5
z^eTTjKYWadOlJY!lQW{g2mj1uyFLf&9#L&!hpV*e8~(u$n0aGZ;rx)U&wt_mtx(pz
zuu3C+>`raGul73em>Q;h!uyC6PAN<|z7xJ6{Oc_X9L>COZ&MicSvB9q1gi&FQ~!mf
zztcZF1Z$t3Nt%PL_cG@lgd-P>cz?q-Ur+KYz}Dh2r-$G_B_gNJzycHn?|R^;tObUb
z;2jmktR3*qq)Z!K_){Hkb`yN@RZ3ettar#htqd0X=rIrr$8?V$%7_2n=|7zU2RPbI
zKY>-eb{<QEi+lc<KZmaxJuH3+8=UU*CE|umA2Vv<1Yg6yC2;Apxz}IdkFn`0&tUc=
zC!Tk~sqyTuOJR-bdFL@Wx_wB!2wtC;GW!YtciZS~1)Ng5%DY75|Dn+#@}r+$U|5Fp
zmHzwi680^p=-R1+@$oYMB_hAx!u0Jfc;~<LkM;2POs*hCSnr33A(8JKO<7I{leK(V
z$b{1wuI^`sUk<TUr^9K1PsA8t%CciE5ky>VDV7bsJ>U`@1_uY8DPw{Y9D}oN!*)^k
z7`Wh9MJ-mIuyXV#Q6fKQd&tuYW*?%8JphO5@|>}Nrym=Xa>6If#kKX|H_{RN4#B;x
zu1pu<$kuNsh<vH!;3EpKd-m=J{O}{@cQbOZ!uqA>d~jV(-<B|}!sNa8C_E{#|D6!b
zD%m1J<d@&&?_q<rAO4Cy4nGyRp2`9X`b(Aw!JH@E3wOg=yc+ak@Zg_(S8_O{GwnE$
zzf$!oaOo)Cf7IkhNx(rNOR5X7+R4o#QCNO2h4BdNXi7#W4QDM&^A5ozkMp@s!Cd`s
zpY_0I?1g@3;DVVYr!Kgvb|Xy&{<BVTw-JtVU*0?m>+(vfG{BTY%A7?0!9S{oC9rk>
zDPLvyy5KGDB3L<PIQ$%JElTnv7ydWgHmwE^CJEkr1h2YqP^-X)XXN}Jz!x@2?6qJ|
z8%w2VI7nY7jL28;zJ1vrzIXWe)J52XI+Mc}{%F#(rVTGh2<E!MC*6yU3}BljbvqZB
zZ)L+v4~`1I?sFZ!sMp?i1)jNj_v|%zE5mKV5RUsu-Fg|$KBsWuI(({CFh&oynG3fz
zf%7NMWGlkceL5d*z;c^ctQBBN>3_XuFlEvB+$ngUeWj!={Cj4*LIQ4=C(*Zr(;qN?
zI0S#Jtgdi?U49*nJP11+z53n`zVf}2i5=dU+I!d)4lw@M&jPni7%Dl!Hupzob`$xt
z<hdSj2<P82a`;j1-%cl3_hh`rv=G|6sfS{o@V*au43qG+(Xoqe@KMVezCO6e!MD^K
zo}g`=?15X4wtl_^tJ@8&zk~nVG(O=E(+bQqG{WnF`PxK&l_E)JDNLOrUUC=qVWLSY
zfp<>@e)5CO|L{D^fPIvAAO8<N)+^|g29sRV*Cg_FZ_3>XhbOl`7lyz`?3B-k!kfdq
zZ9%Z#YeNGs*t#kHXasEb<r>#5IHB{wmHTkull4jy_`=58%Sd=%)egTa@C)s&iC~y3
zEt&Z&++K6#LNsjrEPdb%>|kKw844?=OWZmPQ|+qije(Col{(D_f0}IC6%G&Of9j!x
z_kO3djD>y5Kc`Z_@=7j2QLtq4P~ks8)Q@-RkB9JV<&f)Nc&ym}AQ4xaUWxC7TMw1q
zCE}`cD_1_lFGstc6UVd874o+d&P~~%PlOA3f@@yDU$2g65%KE`$pf+QH~saZ1lVXj
z@lg!?=+*H-;&^kb4xaXeXV&FTC&4=D2gp3&`}tn>#PO2ZK1(%*rG@-jlVMYh$7V*b
zO8;F-BJOTk9C!+jPxZ1P;w&NssuFOTcf^wiuylH{{eHO0$744U=hiF`-3R-JBq<Yd
zk-hnPa{_4JTitSr{cAsd%r*=EB7gjYI6jG2S+XBti4ZqMA|54^PTB%z?iq6-_OGy?
zIkg04{+#=n*uHw?KC>eDb;2KdBHnFA9vBY4&&+Wo;;fB3R72q_ahpZN{+Xs{?X2O0
zLpd}=JVJExge7dVO|3!1hl)FO&%ylRdHKZt!}{A<&%$G0Ij4x@V<;+<;elHpKfOT2
zr(PG4aKQ~cA|XUPbUgCl20!{+(V}0(^@$h?nOKF_dK8ZkaV|p(s;}@z!SWy?u71k&
zb2ofmk%p1DKQq7HN(+H2+e}@F`%{Admic|ya_h(<Q6I$yTX~9b)|=}(M1AZRA#qTE
z?-cufChEDu_GZcE5zH4UN;^*EziW2$Sci97e{dw?dt-SM`{1X~zP0(n++X>x_QGz#
zWLrf2*11{#tAlUsr7|Y!*S6B3t_D8c%I`ze?+eni?a$zvRQ_*7Jti9|#XW&NrVS{G
z?X_gw6^?@4cWPP(!Ww@A7sKI?Nr8#P@mxOtI@}euTe-PR)T?)L!$oIUw=@560Ia;a
zHl+_g_Y4ap&Ig6+`twWhyF;0AM7~#=xwHmM!Q{O_)Y~EU>pRroBW{tTVKC{J=HRpN
zrQ#c=#PxjWgZ0C3Q$T0{aXzJwKD>4uUhY05n+8YD-J24G_0Ef{r@*D3XIyz<BlFFt
z*)R*)uoMscHHhkECj9uk>KkU*<PYtMdN|W~zK<3@UAIr67JgHA)od5MA-QXk{36~@
zTnOZtJB;-cc{8hIaGBIv&M(;HvzOBWI3T{aW)L2lx*Wg_hh%G?>wz=x)yVt9Yj@~0
zs$oePS8ZST?AO@t5?D^bchg!I&s*md{cK=vpB`!}_yzxuUDshs3pd$Vm_=wLM;8_q
z6&8+%C%#B?7{iB$GmIPH_<aS{n(zy2dyPhT`1Q7kK74W8-dA1^$8+bd!U@>Q%pn{<
zUGUmgMXrS(u58`!?gjIdmd!H3>wR1IZoyZjJ#Nv$Uk7<hAHg*YlKV*D+2oDaS@2-k
zR`SXrJP)XSo^6Bm9>|GL!J99VH(O!fHOl%?Sdrb@fbSB{9~aqt6MW=2ofR+aINj&<
z3TE}N{B{P8N-z(tfG4HNCQie90#7p(!8Ge@Rc5e_Z1S&cSkWo8$rN@F@pMXtQykj|
zJYcDhLA9~);KR$)ZgAIM3#Bl4>}5;tJ^1Cxt8M?mD{-3Tci_oqXD<7}v@B$MLtqVd
zNj4w&S#A*beVE}d%Oh8KJ7Vl>JluS1OVAO%-+uj9EPN<^q|6ew6Wla>4%^?q*JuL2
z;c&JthCM#os9%C#)~NcugYUL)C1}Fwrj_B1uq6HsiZVR%*fYBij`J|FKLa~%50v!6
zJC3OQm4J6`t=WvjCtbe#h{Amo#-2Z5MaL#`LD)sy{=_1DI9ns)5F916_uyan&zEaE
zkHLm5&*oV#WBhV&qK6kIxn(-W4pU?;YY4#t%{Nj7VWIVN-G_;|5O3sBSf)Ws{W!e-
zE@x5<)^wPo6NXd!E&Ijc%D1ckiNo2Alc!F@3~lkMV({Lm=YnV8ju&YSGH{dp%P|c&
z@a+c`N!Ya^xLXUhyVU-Q_`dAnG@|<Ot1Bk=PQ$4U!v_uFW#8*-O0bjkRKFD*66|tE
z0hT!QzTE~Mz38@b0XFPZ6LN+R>Mz%vhc{h>I9=ho(q&O?IJ;D`=MKzYJyWd)KiJLv
z;U3&mJ0+qAlX?i=c>u@m`ckO{%LTBy#=#d#+m0E)-{l@FRKvw7P21{lv*=T;N|@2F
zBlsLF)jrfS3BL{98afHbxV8WI4eO}T*c^q`Y^m3_U~BoNQsVmfzFpkC2_HTARfZE@
z60d$urH}U?CW>!Z;LGPy+xNibX_wUK;kToD_gP?x;<C?Futly|JQMs)w#kSLcC-kc
z=Y&rr%yW{!A^ld{>~KIZ`QsHn^!IX<Rf4e7u(t3LTw^o#jvp@LvaFbb-KdW9ion_&
z_q`_In^U_)j=>W3siY(Dm9HA%;&AEY%XfqDh&^Aj7_2zgq1gkI=UOgH!x?JRd%Iwc
zS(%+ua8EgDN-ON+>}4tsvz}qU+6*6Y)VL`JFHwp9dJQ+9{;x#|=6QGiSv^cWXYf@K
z&iZ>*tO8!xgIO8yivj25GPuj>>e&nMcjplQe0XP1M7lOS6r6PSDI7d+QlJSx33%R`
z3Gd1drnn5Jy|0f<hecfUne<=^-d^U1@Q$0lE?3|`4@bVm!aWPB0fz9_r8V;~cwNfA
z-xMBLB{>oT-*G)Pc@+-lU@r-PNq1dRwuEo|;db?dWtO=0Zop;kQXB3t`xnU)JNW)B
znOCkbjXO!b4SehRB^5hZCw)JgGpzbRkIDw#vD|;e5$+$l8D|O?*iPN^fQ!%A>0gC8
zZk5Kk!9#OF!<XQblC?A5aFxIRBVE{b<<7bnd_OMvs2aRTc3=MvY;`f_j|#lxrDov|
zceNCF%EJpCY7PIv^_7`2a&W^s?WaJvDYo{lI4qS;DHIOZ78l+ZgZq6yo(hG{|1{GJ
z!Jq9K<6>Yt>8ehCSbaxeb`)GV&}Ga6H%fVIJ%pR|UvqQ8Z1=>e<KgV915X%X7K($`
zsc`4+_jU}h&aM&nWLVW@Y>5*7*3<ks3yxN8uB3qfh5R>^0Y75-CBFlv%d?ev4DaG;
zA=^5LzhBZGzK{!->iiD>3%_wE&n<vOf<I_2!c`Aml|F;rIDdVegg2CuX-i>-dv8;I
z!yf50f<^GYKO{xH@T0Whpck;9!+=vaEZmnATLzCRZmi;`%H+2XTK{<obIy0ww!lIA
zc{ZzHd!Z$zH}H=934_;g_wE*o*YJPZnU?kNi`<ErO1MPS;>|l)?Rl-<3s^dWt)mfs
zUD`iT05jKo6KaL;&lF@ngP*lTN;SjL7uy7~;nU|-<2&G>+T`gBc#vW<yB$6lRO6li
z3%8eTb;CMb|DB2_;^!@>yI^0{#|`1I&WonTQTWgSvGc)j$Pc&A!|>VUOCA1jNjQ)2
zZ}@F5Q>-t%+xesPIDE5Qio+dVzTx_C1{OWAGUx(3Z*k^K5%KHn*0!*0v+0#J*kUMh
z#sa>|vfE|_4!1A!Fo941$$q;HzxTD4x&lWpp8v85d*6(Ba}ic%8WJWqz<j5oGeO#L
z`=`4yWUw-s1+5BfEXSBY3A4EF|EvUa7gpv_z>|W~MyKHjE2SOuFm1~?hYaDcaT;3K
z`6qRrC_E73Xu}APmsMDczznM;fqUUqAu?}ncvMYvm<2w-kbjyJ=7{<-!vwcGety3n
zo@Q>zIRt+mWmcz$_wThVJqTNdpXuHWv!Cy$5rP$21{28Pgufo_0<guQT?aOK@%(k`
zw}%LvH=H%L2G1;VJU9v;mR<Ne0VllqZ$=Cjqz|w91$#yFte=2Gu9hnd!Gifgm!;sp
z*VT3ozz)Z_Zb-s?3~mu!Fn_$?D>=ACnL_&u{H2YtO%~=hKGD|<rvy0jpM%Zn-=s9b
z&U-Ty<zZ(*#-a+Ce(z%XdH8N_j#D|TU=vcH1RvaJTg`{p%fIf{fS=|W)jowY-#9R;
z!EL62N?Gu2qbjG1aEml8MFxC5ek4p2mYuuK772^q=KFOCrXQQ=4};A^G)am4kGiM-
z+=gXqLQD){pKFcJJ>h2;x$N{|hf_1sPH=UH-utU?imTJ616;`YyVDq^E=m5+0{;7p
z_4p0Aj*b0-IqWu>FKY(pzf}5S1h4PtOR#}|=rzU}!28cfzcz>OwVf3?1J~r2vfIHs
zY+o(N!g+U<1c>~@?<TxY!Wm-bfljb+jJcdBO!<$a&=xk48SP_%HI|Q4xWJ`*uB0--
zMOlrEL_P^m&>>n_cjmLxEqH=+{TCH{N%MxEJ6x1-$e9ejKJL)x1M|O26eEEtHn+xa
z!xq_%wJQhkJU&8p_AczXE#|)re=3aC3V;RWuTjjx>qZaAqu@6g5)l(H%^)X31gtJ>
z&NKoKzNBkTfwMh@Q~KeCrH4I9FsbepzAl)$Svjp9p0Z<^`vA+;y?#~;U)ECf!as?Z
z_de!Y^M#082)(X`hra#%&;h6UU%T)e*35e3Hw5o#_|aAXZ*tsC`VLD|Xbq>p$*u-V
zqwv|E5!p#_g+dd_2y7tGC=>&a{75wZ4f9BB&qTt1tasUt!;c3}-ue$NFz9?c152{q
zlnR849-R3y1)n&S^Trz{`LtVj5e|;|7U%_U*1Jg0!~eGFX`SJz^AhnZFiYyWj+=0V
z3RTGxJXHOB)C6|mZlc_PB^}3duE4A!Cs@|tNG`Txx^R~6Zx<3n^uJ^m=Ct7#@ih^f
zh@XE{K`IX`@3#BB6Y=t_vA3t;vQu4uN#ThYHcfGOb=gmw5*B)Wj$RB-yRB`v3-%Z(
z<>iHU-Cul118?$w|G^Cl48I%R1M`qy_(uyjN?(`R3;(fjtfqz={xz%6!PahhXLrJf
zGfW>b!OY|>J4xZ)(kJTo!2@QenCE$LyvJX&uo0#<>YIgAX!sAaz=w=u%*J6}?a}~l
zc#lL0-w$}`=$#aH*piW3vJ?JLN4Crhr%}kRcECBcwqyt3=ZUU&Kfo@@zfJhz&YFmG
z?_uHU7oL1@HOJ=V7qI(Jp-v%K(vXq04Av)qFf0I52x??MgCF>j$((?_9-7^F0^1C=
zUlN9~JlZ1xmUw)s<Ro0M_48CbeC&5xohU3r&-Er8Uf&>Pk%md$9}5hHX)-^GO2C~0
z84tbS|HuR*PQzO(g$B3at3FGQrC@hvE;~y&`j{%I0!+0-NcaXEzg|Rl22MS0UU3EP
zU)#1(hEJ+EcpAbYe&)B%!MxvdNp#?tmg3K9aNWVeMorjj!F~EXtPsl8a~iIQc&V%f
zYfK+Zl!3KGIrTK)kypkC#NaYElOjEMMd#X>2yA%azaC9E;>I3-X4v~~jmTyA&MKt>
zBfP!AB}e2xy06$mP2}IxO1uI;Q$HI{37;*0o@)qm%Xu@B!e8$XY@5QeVz+v?xzYbo
zWwDvSuP#qa%)+B7zuN8KM=$#vCSj&IrG6WjrHA3)2<)40F5wLOUfEqe1oKzm(G*tt
zrf{|w9;ok2^MG5TM0a+>WC7y&ZtzcMhlr0bb<YKIA2?M1idGB!Tq9@SZFo8L;nxOu
z?|hm49r$(Wo#a=r3^&bff7t&@-N8zDnU1CFKiDZN_h&i$bjfifkcbzK+$?}qYH!EK
z!p_4_79PX*4BN9~V0o!=?+n;Zq<te1RzCdhbQ&xZ$U~U`Ta1!6#lcD}jP<#2qIsoi
zG+e=F-uejkv|sML52p_Zi8a6*782k6;K4jc`B$)iq~{F}n3QYplYTfUIl#^VR?1O*
z@eTeu`flk4e53Cz#|pek@^JkM{GDS-U>RPv84T2gsYl%;sg3aWs6#!?>hS(VO+i}t
zFiDvFCHUE%q!=NXet1Edi09e`1Pa4iQIG2MVC&$TDOGr%#K%T8Soipc6%}~pD7S_p
zd?)Bqfj<0hgR4UhuKsCKeF+YecQurN&p8a*-+=dSTlAlRd;c5tGJ{`7)mR9?Z_Zp6
zb|&Jdvwrizul8M*c7z|XtvGYQo1+frgWyY!k`;__yR)U<J=pAC^cfm>_+Z`c2e5sr
z-Wv*7!T$OFXxMzSNNopPqqW|Y4!e_Ewy$$xJ(JE<S1Np|tU-SfPOAt#mIFJ5v9Qj=
zBaU7&+3@33x9s2WEO+5-3B0|;a_9#<`5<Av2<FxGDEbaNyVV!f!R5&`Cwk$NSvfT|
zaHEp_%XaukkSJp#Ty(n3`y+hThMBhk-lx8g{4Ly-oQWCV#C*Za?;BuEiNN6Zu-^C!
zt!g;%1;uC^{NI^>^p)^cimBOFIAXtkauF;)^E>MstmD|h@eHP3dtdYwR*E^1mj%~c
zlcyMl2Oij1Wx&e^IT;6GK9<(Ghw$azn43RgYt<d4aWJ{AgZCIrDrP1V4s+-YbWOsm
z@o^g=u)_Vyk>Bvh$a2sfn4yPPW)6;UKYZRFE`Pm#einYu7t-MYE18&O{e^`mUc|V;
zR@+iVi*U(03%fo1aw28-I@~>Xw%-OeQ*_zC3O}~Yv$ziXdVg}*aRvQvc-!G?aAA1P
z?JdM}El!kNhU52bc9J8mR(r`=57zzOF-!(mtW>Y5!PLck(o`^a!1tO9aOjOz-QDmh
zshsvxa7Qq6AuUYty)jAxj(4A|riM%P`B{&_8#%Y^*<qS<S5pLFt|v_YF~eip0!1wF
zo(jDoE|@t;-jN9|Y(6;60cQy1t<b>t4w)$N!FkaytEu3QIl+s(utzeFA{iW?d@Wx9
zz9=HPlLU_9JX&=Gwn|HkSmDI_M1xRU37EpAlx_*mj=y;8B)t15ThbKlcG#yw2L5cz
zYcv6uuqzHo!OX#-W5clTnw5kC{Q6&1&LHghSXl84tme5Q+ykHQ(nwW?zp<>(cEV&*
z`<|YIA8(j@w!*z-!lddjTf4bbGi=;3N2>~pFt)vU4WCNdZLI@`GPm5TheI5i-L&Ar
z1~HlnSWuGh$6a`cq)s;vKG6MTE&z55IXaLAXD79dF&N{0aoyIG6HHQX)XNA<FZ!5y
z!JFwMqe5`+U(p;Fc>ZQmw=mrQtB}nbmd<0sav!vJLiHR(Je;c*(}mGK&z+3D4f8Au
zMBBo{WV_;>;RdFGd-kwlvL_W0pY^wlybI?f<*U2GwCa3!17V73wnk$6`wG5@#lj6o
zIu&ohi-!}B#KU9U@-O{i&3vW4NAQ!}U(!VWLf5{wT-aan;`4iOu<t9sa`+O%#0esQ
z;ZmGS1>AdC=gEEeACp~c9ZW6%&^icq$~yPz70kx4IT!(VJ>_6&f(H#xXN19K<7-sS
zuv=|5V;syQ(RHH(err0|9Rq*ht2Fomk6b*fo(zAliFw`!SL=CEC&F3AUb)}lD?Q)u
zX2Rq$m$pXX8gW|1ba*C0Vc`cnsO(rxT(9&pF12a+HCdWh4qQ-0cV-qg&Dr=<03RD@
zncIMKc+{Mpz+5qnKepgz%O~R{@OV_#>0Krm4<2sLD}u?F(@#*q_3M0`m2mjSD`QOX
zl#gLrDI7my+RFlO{VQdtfi<eni15H4tKWB4!4Ux$_;_Kpw_K_Xuxo~ZuK*l3CQSJX
zo@Y7bECdJm1_m_2caN{~O2e-8@jDvfzxs5{vhdr@2@m4_PSBcjRD>P5rzME{TT77Y
zh7x>eR<7_fOlLDws}7%akahS3(=Ss$*Mu*%MvV2s2i3ornZT2+-sVL89132&d=1w5
z)YA7IcFgE6wuIkn*Ch49ZzCvjtl_(36!fDo>-6-7BW(F*>C+JWE}V1T8TS4mulyV4
z6(v*kf}42wca6gWL8s)r;bUK1d}iTbXYPc%@QB?d*=cyr!!Rrmjx9(pCE5#i(z)3z
z_`CRyQlh=sN%?Fo1HO~?Qf3TRp^zu9fUTUlz58MEjs^O1xQ4!eXBS-N=EU9tCm!ZK
z*9Mz!upjvVXKW6)y@kI;R($P&_bcmZ5bc3Lr^$~lxZHMsFL8Zs<EP@sh|lNVzFY=d
zJ&ep6fjgLGho8Z^lUi%P;g_M48N~e)n=?=T3wAIq5FqYPdTU<#O_=;pj&%~8GFr>N
z4!eq4FGRx)MS*@SS1}*Wqj!#|C#9MFp-ix6Zu)Ja-Z&Kvm1JO{M59w~u+@crZ7I04
z^UxbR_%fa3O>ZKeblg`T7X96B<_otSFkZX{uO-vHONO7EY@E9cZ?e6pPKBc*rYwm#
ze}-{mDg27&Q;q?=-Ar9o4s#w@V!IB<hx6Gq!lNd)l8oVXi++=L@DyV*odrClvPjzn
zFQigOn!=+UrDQ#D*6PunHt^j-IpYD?zW!RHCEWIlRA&g@^~_Jo5l*CxemV|Iek@qA
zhu4x0#!kXc(!YNA!bi8ur{>|8pXhRk_9^PxrS88lucmTzIDBOHl<+2e>#~hjDE#D9
zA~VS~%n$#WB9j6?;uUqGfbC4H*NFCms;X6!7S;;fGA8P^Y}o!WBdi|G$U)S*%mK+5
zRyauD3<Xi2isAheJg{e`b`#M*9FuMu<b?xk%}*2csXXN%DG0xfcG@8Br(0&42adsI
z*J6Kn!%VT+Uu5AD@pMa~9xDt|n&jZaTLt|@J^lQy#G?$KpUh7o>XBPdkx>P{uTZ^r
z7#0vodVd+-Vt*Dz)T5SudW`}6kog7q54ch;<=suVu-gCZ0L-vA|D_Xr#PNRBPq@B*
z-Oe9wv)7Usf%nKWT)zW{zt<}u`rD_}=KG>y23l%CBL9c%-Q5r1ebjWBGw|04LDM97
zO612?qW<1GX<kZ!lj?qUEy4r8GIl+KJ@(wY_y>ON)w-S!>q_7K@DC24<0yOyQ+CiQ
z6Zt0ETG_SmzFex>b@<WF4Bb{ZBk;Zyk?*tAr_u&DY~Cr}hAYzBE{?(WN7ANN;3g>s
zm7g$|QQUQ6yrDB0&ZBOM`E36(+lcR{x@(J36Sn#ksyGQBI90%X13vz4)Q@N{hL4B}
zn!%?E*C~ke$+g-f<_XhJoIFRg7v}lOavty=O6_){eO+gNdp;Z%2)Ety4jzk^xflww
zjNgx~g=H@aktM-eUSjk_`#u_!PLlvXJa93&7(VNEr#=_H^K_0WAFi;R`|t?n$fVE8
zhTS{X?tXy(x|kXyz~#-!o-Oc>Uo!0(Fu78Q=pVRPKrko{P8yctpNHk|>{w4F@<U5Q
zXs_e_V1VahES&q%$)6rRlBa4z#2GvIMY!QF{x^RT+kf<W_Rs;C^n%<KqJ6R+*g7T&
zSK3~RC)%f*o}c)n;I!!jRK)RJkv#U_WmuJB4;c~9_N4YPfGG?<duG9{UX(#M;nAVE
zQlh{1wOG9E1dIGO<bMRKq@VA+1uIyb9w+wKAuHbO1(&SvFn$XE$g>hFgdM-NgcIBE
zAG8xFhX4BBCnfgZ9Pp6*s2Sdeu|_9*!v=>xtqa59sj~Ee@Ypxgo#)^eZ)#PD_993y
zXH5y7-L$9=f+<XolNrOkQw__0aFwC&stHU!WMxmZw>@;Eq;7C|Tt-d+993qt;tsz)
zbCxXxo}T!+BOF$!yL9m`Tp%g?F9PP``P)RaH?wsSk5l0XR}#<u2MfMjNlS+%uZvej
z!dgs@dF3$6L#qF`@8PvSQY&B=-CPTz{bzOY*zAN0PKFr~$J1W7y4Vdrtmo;7g2^Ym
z^%mg}_olbR_78odR{IOjwi-wiaoOAc`TNW<J~DWHjEGmzb7k*`eY`bti2aZ9-60i)
z&kVXJ66d2KvxiCqUa^|yCC=B7pXf(hn1SvACDETm_BwZ4!_~HQ@n&#FzH`tm_?u5R
z?N!*~T|uNf{NRXQ(j_>S=kd4?d^lM2vM&5IkYm*orsNW_I}0bDpwkI}Poz=v%fo-X
zFBtj3romyQlJKm%WN8rmSK7i+9Io<ls<{X62>r2o6#md?$PfnacB-imgsJYwaD>3~
zyfO;B@CkMgw`kZ#mTrq1UPvzRjfBN?qk@@XF`w}6c$hQOREZI`Em-*#Lzwou(N386
z%HxDgI6`=%bDIP0H~qKFboh^>@6~_s!M^;JTv$b4nf))kOKpH82fn}AlsgTRy>fqE
z3deeDbN_~~E@ZzffqR`gpANwnV~*Lrf)mFz4}OQm|I>G^gQo;L3%|hk55(T?gzID$
z$6Dc~{_=aD;fpW5ZZ^WR6k(&YFx3aH>o4J*(b-eeFrWRCsps$xle0QJH}HHA|C%8i
zW`Ct@#08%{pq-usXGPrGBMb{{USW=hE1%!nCj>w1oz4n}kK~s%NWow8r`UpF<(T3Y
zN!YX7H`gD|d-26f879qk<no3GO<L}rgWs@`J#~Ryu3!G925%YMvT%Z*yjLH)04Ir4
z%~`?G%w5ttgdh79Sim2oniaKRn&0%2CNRZUwUo>7=Lr8rBUrieOpYFWKy<&~ML35c
zf+84x#9W<o7XCz6v>gH~?&M-qgIWLZ>c_xbvp0KG;K?)<%~*KD>Wi8Vyyta&ZZb?=
z%!MCxLi=!FA~hA}tqAbdhh4;a)be4`^VG}4{tV7iC>Fv3b9Q!DU`|p0<Z}3kbp8=T
zxN`ADOa-jwv?uL4EO+?WL>=tKe9rJ19F=S{{0eUSmf22x|8BZ5$tL3SLp`Cy_aBis
zc)S_TJ1)B8CgIt%|2kly81q^?xZuO6?-#i9X59%l*u3#-cOQI5cyh)WmWq+D8G_w=
z=QYA$j<=2be!=%RSSUka{_oZ#Q}CK);}UWGZ>!B2EWq`gKS~l{yHnZcmtjxWu#_i6
z{<v_)COn&xr=JINKAnyru|Rviap7zwtQ6<-lLFqEaBZs`J``EfN(+<DYFurH{hyyd
z$OP-sny`I@>veXKaKSVUQGaG&t|yNT4#9hT67r{D@yZAZVVH4GeE<#W&&Pdukch9Z
zSHGo$A6@vBEDlFe{=G@GC*GbsipStjSxcovdt=X-CoKYdL`d@!?NQ)};{!>!oKpJ7
z6_|gW!Rs`vG)R8V9d6kE(QyvGKC-n<JYO%n-uj>nGkleIC;F4aH5Yg^37--_;RTnD
z4l`@RjWzChcVIXBaz}kQ%hSTlA2vF#ZDk0nhvf7U?KQ={=9`Xid9e`{kuSE}$<i5?
z^>`RS^dF_63`_yAOPlrz(O(^}YoNIcUltE_AfAtff5uvbz&l1w1;XIHt;!~0@TZ={
zbfQ1MC(icb0jx1>YeYOBceZ~nh=a+@vOW?0Wx03W&Qw_c!_6?Fe|P&}wvh(U_dMD`
z^tZ1oPwC~tOv(1OX+*wLt>RNS<U;5FpJy+nJxnQqM|~ff6(DYW>_}KSyyw)adL4W*
zk$kKMjvT0<sDX2wI=|JyRrkhy8{vN(Wuot3vi~xq8ep{<L*8cC|Hk^kFYr{)>DwLf
zRBzGHC-{;7yiFIpvtd`uFdUiJ*YF+wFSk5s5dKP8T|EHvj18`h!whcOdw;@L`GPBm
z@oucKJ;?-|eWEY(FT9V;$Z!sx9`i9?gmv$q(^-IH%N~7RhuNIOo~{ypb2efX-u;9(
zYaJ%xwk9RT_;Fw7zEx67yl)F7ttZBtrS-e!cfvni4~tPCzAm()LJh0Q*3Oa><IUDN
zd0JSubkLj@?z%me$OvooI&xFP<88yy%<y(!bliS8X63#7VR-yd9u+-&Wv%rTKOEou
zHh_5l)++h@w*;Jct@$4Vto6HY_!O*=^V6OK=FRn&zYO#KS8qhb&#fh$GJr+ndOoqk
z^o;6>?r^4tQ{6tefz~bh7QFLNpePaN^%F^qfRE)y+#rspF?Ks63_c#?^M`n!r?%Xv
zl?=0Ya#-$$xj#kfC&D~*H1k_H9|xT5iZkHYV1t4Um}a+lWg6Vde?f8yR#~E^%Y}n_
zVix9Mtqa{ukKnm)cYTTHi{`seZa#w-YCoL%1@AUH<(CJ??aJ3A-rucGll2tBr4)bm
z5aVyLTdf26@QB8695McO(R?6Y25SZ$&~Api9~zu~4i^hEe18p_zhsNAf}Im}9@fK)
zuZL1AV3It=1H}8gUXiq=I+#VtzrPGl`fIvT1NT%oTM^^&uIH?Jjqth9XS`40k0<-D
zG{DDA(+Y|Du{a%F_5uE9)oGm$WAbm!dzc~n{bD@)pmPU9J1jf6T13>VS=e3P7ML$~
z_$@JBWEB;>{TcT8vo|0BKL52Kqz!g7S&4UqTRPN7y5P0GBRUSSkwwQ`2Ry%n*2);J
zF1A+r3RkAd@EXBIqBHtL{!`xrr!K%N?Y_m|;V04>i^{M>{+Y@?cv)56PY$MxYo#55
z&17w)Wa0gHHMs`h#564}A$Y3xi~A4wY_SKW09?}^>pKb`+hH5e1M^>I=$?QtC`W2@
z!4}1FKYqd${O*=S`#lp(Ejt6VM<pDfg0FRaRGflSdBO@v;qc`%DGRV?%`>YV@QsbF
z>^Ye2dHMn|zB=XTu=Wpj4yY+4##i2ALZr*^$#2D{i2h?^A<l3UrW$NsoP-PAb*`_&
z(<$|Sqwvt3iYiho9Di50)G)lO(fRcb_}p^K+g^B@{R=Y%%ws;}-wlVchjZ_OPfv7F
zw!udmetFQqnW5wFT3}`WOg}34yIa5Z8#vGTU-v$^MRkhmHLNgOG(Zn?CyhKL`bTqN
z5^)wd`O%Ed3;3ROr7ROnd-+Fy0c^jtGmaBxj-N?*1~boAr?A71^MCLX<F%Ieq>H@p
zS?;NU44BNnVvPr$Od7RLfbZw5>F~o`XU7i`<F||Kg@%XW0iMAkV*K_jV!A{ae!Mwo
z6ADu|rd0{SLGryzcVOAOU+Ki)-#XpJ#CT5HBbfOF@%fcD>07YM-TIrS;32u@zr=Xs
z=Sc?-33%qhn*e*bD<Zw^G#vK!rHn1ixUJSL1DA@GzbD2&6FHto72$uQPwx=ppUy76
zlM1j{#UpBc_(79;m<r69{IE$6PB+O(J_m0Hgbpae+>hSQtHBmQ-iZpZ(jKSP3ovbx
z`#~wVE+tG`2R``4d{6@Zbu!9|$fwBG@#ln@c{1xS!fwChq}gE$clGz$@XNAO@Akpz
zg$A4k@K@o30rYT8WXVxI_{}cnhuiFEFIivQy8_#0ZEJ7Bzb9y7_2FNli<Z+c&j-rM
zt1!!K-+@WkvbAE~7$)iMEEs`nmy1+xz_afwt%l(CDno5Ec#NTRp$EQjLgTRw9DORb
zunQI}T`sbMqb4FweT3U?{UmpUH_qBGHp6!-BWN7p-3C^E4aDd9Ol!R1D|Kv3weS%C
z&PFd-nU~qW9JY1}=1PE{@4jT44`=DlF(tv~i+V$4@YvD~mkM~SO1I@1{M_@KZ56EU
zpmm0b=c!jTyn@e8>|85>RqlzrY=D;qwr^I$5{Wc>o8fKJ5`jwi5FZU`8!X6}#qa^1
zcbzrpf-SD8x4(lEde<&|g&l88RT1A`&TKey2>v8K<U)M^>a^9EF}TF=gYi#T#(eDe
zBrN%#HS-vJGunM*8um235<Ug@JTyJE1n-<&R-S-Q(?<)e!2HMiMAl$W9shuBxJAHm
z>K|O5#^FU`jpv)VtEM|}z1z8IIw)Yx=|5~+h|_Twf1re~j15HXLY!<glY1XbmT0TG
z6V{G9&$1s@WY>R14YMXnJF>&Sjt+TI!tR?ttvF$Q*_K)2{-Qhkt)375_e|p{aew(4
zg;pMhW0WPiSmDD3t`_2O_2Cn-`{7h)p{tUxpBW1UasRr1VW3uq10zX%S>WY!ojX-v
z8{6@D9(d_Yim3(6;1~Rz8P?IYHnf6w^4e$<aqeuM7lH5v#*b1&T=nvL;eRmSohL=y
zaH>UZX(~K2A3Q*8KmT=Bemb19*X-f}cz?3O?poM6^O6h^?~OmXqaI$kFIYlse-OW{
z_Z@z=JeWvqU)kiH-T>U5TTDa5dHR$}*5ITizGWtulS%LC27JzL-j>+El+sk;J{!#U
z$>dHVw!g{0^YMQ8SnF>ZV*gp+6bz-{oL}R`jIbaRo2ewMV8km!1KW(;zo7xA*!;65
zuGjSm13NYNGmH2VQLjA%zgdjn^Yy!}SK%E6FSrfhA9c!$bMW%}Q*D;8gekQZQO`H7
zkaXRE6-v|>i2H5FUJ|iHxM*PSZsPvz46BfO2&=LiJZL38Uq<^Y2NsAOByWP{j$Rwi
zgXw%9-u?t1EZ!ya7M>Mwz5X5+ZMt#tJzV?ka8Enz&nqXp03Z6jah#}Uxwc~QC0OA8
zvmBz{*-95<kJzF;Xm_h5>aF3ocZ2{e>BxTc4J>B75O)bSsd^ho)H~au$Vh#-N!enR
zXb&`f-~V=lmHY<=iF%Is={V{EZ+3d=67jJ``tfi$LfY2<1<XwPZYUC-Q6O8YgS|fe
zkSc(w*{S=8?a%t;i50=&zcV$6c$K2Wk1sGqYwXl>_;CouU>D5pa?tc8%<*9;hRzPp
zm(fG~Phh48tzmoN3N@=VqCM$dGFvHyOGY9C{NST+#J5V|!`|%F9`K`8W|AhDr|7tZ
zBYgVd*sgc*v7q_}OZaMsU0EmWnoKWd2J486Rey%>yveLLgy$Qa>H6Ru{7Sd<Vfo*Z
zjJ>c$c{iyRoICuq;U_FC&giBJTYa)?8iS+vJ>FJ;MPxEKr{DqMvsGu{D^u4FPQVF{
zU5b+M#G^>BIhdxwe&Zy3hf&ji7Us6vzJC<{%I4Yq7k)b%Coc$(Xh?itgoRg+d^`Z}
z&b)GB9VV@O8ORL>#j!}P!VQNs>6u|4F{y|h_GrIY2S4nGJtmeOY#}~6?W{))D|XXQ
zkR#5+yiH9B*QmG7lEL>iV-rbWv!Ky)RPc^sPMvKwykD<RQQZUAsh0LH!#@;@GU;LG
z5vlkk*h<baj~2c=(#|st|Kbn0$O&)1?TYyYi%p9eu*0-WcAP_S@4Ea>LHOLNdE_^E
z{r=n@epn-Ao%IVG=|6w%IK0E!^~)z%vn|6y7`}Rw>S`0*xi_`uBz(m=fax79e&9lb
zC`{SUl3feqpF=ZC!v>6DMla#Yd(#}J;LAS_jz5P5&4yggz{|R^>BaECQi$hi_}u-Y
zf{$VAm>YcRa5o2ON;b?lLn){V^JJwSPKM?47yNZ#<|fji1i1V|LXZ|*Qk-TR1^0H|
z{(c!IrzSZV0aKK5jp)I%2B}4XumshngfW~xwPAS|K3tF?YXtYECN6lvH*~xnT!$wt
zmY>~%*~-}xufdMq4<sC6`@BChmhi9JGqd*aWJ}cI4Y+bC<n|5tGNtJSdpJRGRMZU4
zn%mN}h07`Y>kVN6-<BL_c-yVZLm#fczq`Z%wsxkCREEc`TglzwPdm(%&%vS*HdL-K
zC-?Se891<p|N3os@rPEZ6r7*+&e9XUZ#Bbs0zS$aQ0otOn#;5wBR>C*{f#eNtlDRI
z7#@%K%p3$e`tt4LgFF7&abg0(>*x<}(%9h|8cx?xxa9=ZWmY&`s=_lEmKb?DLJ!|l
zqTx$`t!+<Sq=vsqXA8u`ZML5W$l%{1D*mZ(YbgCg68Plr?}5qitv@9PR$1})VIkjd
zS@5dTOy4rxmP0q30Z-CKTFk<B;sxT5;iZ%&&S|*N>9kBPe5Bd>=@^`(*&ST~SBGa@
zAA$STEFM0CMYt4ZzQSy`R;HfAnk??QJ+Otu{rO^;l9u^IJG@%Nc)k*@kW-mxg*8PU
zslR~B5+~gn;nT}UvuojnZ5H7MI9sav@k{tbeN9yrJf|+V*#MIo|8lB;tuHo{zJ>$+
zLN^Lw7sC&Q?XaZtSNo^%JASRQk8sHkpOs8Fh@+XJ3r>*AC`pI^6>8FcfwlIYlYI#D
z{b@AsgZom=mtx_%vnn>daNAdkfG{{U_sITnnD(*U+<)-##>cEb;5D(I-hS}-kG+ml
zaHYq(m=9d=Hrj0h{%Mu{$`u|ETW+3%)ka?2a)$f5T|dpjFC<LJY~bJrU3|;%hjE7*
zOIVlj)A0p3`E%`;OR)73{-9NuF}F2T7nY&O4gClEOS>|u!QZV`hqmDSbN=lr@B*d#
z&ka~z?ud~*%v<$VdZz=<r@zQPIrt9e8F^Bedf;oCIIPSP8ovjAtT%K?3|>Cqmq`w5
zYl}GW!m2I}f2m>9sgs9z;JoXlR7BkKc$e-L3(gPoZ&M=f()5*T1CH2j>AVX*Z`D>b
z3SVH4c~1j7(|xuahFMA&dw0WCPa5|$!7mR;9HoPquD@@13maW&kR^`i&0@uke0W>1
zH-;Y8t*zpC3hNn-q!RnP|Bv)!BE0PXXPyC$A0wTPhtr;{Z4ld|?NKKSf;IR^E;7Su
zKUHh)!m7$NCPcnoRNNP5n2CkDlnu6h6CLUZKl%_;$pRm$6lb!6Z~P9U=7AXw9B;n?
zX9quI=72R+y?*M#iCe+;2jPZZr!*Z{W0uC{04zhzBya&%DqVli4@Y)Tjwr*oZuoyZ
z3=7+o*vrB09@Ynr!PjnN^U1>eQ<H~}!aUbiO2pvpx#u0yushvBp5yR65s{u#Fs(^T
z{$cnUAFYr)EJa^t&Idam4ik}sXB&+Eu*3W3WWK4xn!~);m|?oQ@*!1tXtZ^b7XJ3&
z{>h6li)MZ{HSEN@Eu{@NmFpeb3F|AjMe4%~mrsn7z~PCCahKr61K*ujnK8eCl4imf
z9$hOJ_y^zQzB_9KcL`j3F$<>-DJz=6lTs26(=cb{OBGXi_2cl$80_)xcA6DTwf{xQ
z2>j^UOtu9qO=T+E2Mg6c`DYKG3pugW15>cFZQ8<dKl=UK;l{=e9TzwwDPQs<d}&Nx
z-wEDhsNdKKpYLDDzXk7CI_TX1$JSqe?hdC~f7(?IH;~iq@`a1T66-5q2FhuAFIaEi
ze0MHP{v^gC0OmKWig*OmwQSq^!RKplu%^JO6`8MsU_NPq&xtU53eCHFun9?zaWwp>
z`zdP}tXh$<KN3FU%g7x9r;MD-41!sA6}m>l@oi)V_uxP$X0J$i%lP@&ZTQ9cXKnE?
zU4TQ1C+uMC_caE-IryQ}3XTumBb)@QAG&920slVfDw+VxFNrK0!!FNP|4WCZTz(fC
z!I@lU;i<4f?n9}IaO}j`@FVz=k=nc#oWrU%o&~$iulk&aNyR=$KZTzR<eyZ64|T>X
z<-%9h_NbpE@)fC)3*ehqs>wuQ>cPI8C-AyI6Z--9W$yXaV)%F2+b>-3%7db<LU`K3
z^(ua7U7r6bv+fI+>@yeBez>mjhskr;$IVBW3>H73Tv`R+B0KzZ2OM*?pt6Ga{8E?G
z3KRM#wmsDK@ctTa{$=<N<;}gda6G+G`3xM!_}-!so}>9>Hw9D4U-PbkIbVk+H^XB4
z7><;~qjY1Vt*~2ez|m58*UPAzjqsyA6ZeSolYLEWy9u^bx*9^9pR&gTp|9Xuz5B$I
z;gC)K&IUO6ZMbwIEYtD%YBl^c_Ut%ueTVO{Jg$Lvi8f3T*Z1_uE73AoR?aiwK3udw
z;{5_nObEy(?jJg7jR!d}(^nZyANWaa$hSOrFNKbwC%lj1^L#wq>qAfO3=gdDmQI8d
zINvkc!JLPu`~BdKy6^^b*gc)&&>fhu-RO%6Jaclj$qKGZ;`h4@Pn<YNZwm{u(nS&V
zpLKGjR2!D1{~>(=)~aA%zX-c-jjAcahKDB7q~K|uSN~+-CZS#9GH|SK4}}CQwfkc*
zFMPALx}0d=Tpo;e@WB>}!dMH5`pBgI%>akL+yDRelO&B(gb5Dp(D&se;#1vUHW-Qj
zf1)hF1drJdvu(q{`+HCBgN0m3L}y{+<>p~Z__)Qc+jB6ZnbkDW|Mc8E7&8RRcwSB1
zMt^v<lecdKW^o#RO7y39QkuL!zzNR>FA@DMebDR17I^BJk;5dsePew735<VS!#V~F
z{pyv<haITdg$7`fKX&~waCC}bZ#R5-`7&P|EXBWP>@(c*@tVv%xL}GSss(OUQo0ue
zSH$kfdJCI1v>vjDUGK7M)WLbLo;lovcL*^XR>Qj@p9Px0do?A<OJVY@dmpdCHW^CH
z#CR-yX5*$ZTt8#im;<kleyUJ`jo(*{5aU0`FDIS2;0EEzh*;RtZM%{Oe$u--L5z0`
zuXK!M?Z^Am)uhwJc=dEFLuv+$wO5ykc%oWYvoD-AKKs-MmiK4A>kX%jh17b$Lt++u
zX7Fa`UV1<H!mY>s*I?JL-W<euS&%bmQ4>DKyWw~T-oE!PUmY%K6!9R&%UT{MCC|aP
zObVL+gBA9>{850@8-_jw!m_p_x20gR{#Fm-_)lEZojM6~S)@C~!;vDR*G|K0U-rKx
z#=k#`_Or;qyQ!z^(%~~y+2M-t=99h~g>W(5+J+pQ7F>0e7@rnW205RH&4qKx>*3t%
zA4kr@No8T%uVC4Ay~}E_Smxv^aeZIdWcd-to7DJykr*HPyg0l_d>=Wwle06h)DA6n
zWw`Cr@!x-7)~${x;`^(|&x#Y{A7Rc<j!JOQ+PDlA{I5fMT^7E?TrtWDyWEzsI|c8!
z@a#7+Ua|D6Up@|ZKCq7>#tSk>Q!Rzyt!U$TK3Fe+XMq>)-@Q*(42~0>zs?0e{IaQV
z0`BVZm|=u9NOa?g@j_j=Q7!|_9CbQ{sL$%SVG%0$J5A*5X?W{S!*2?>^6IT6qMnOp
z&b#e^BZM2z6ZNjO@9@zr2FyoO$k$MSD@F<`|HAgB3z;f#<>_F@MfkR4U!F4D?L@ae
z3E#<MU(@&>NB14i)%V8%+|G!kvdU-~UkWKCGYu=0QOGDs%gD-JA!J5IW>&JYBRk0m
zN!hbR5+Zy5UibIs^YOm--1|A_-gDpY^Z9ULF^Y+T2{=!Vl!VAfXk#s9M&Pb(8BI<2
zo9X$bL3qQ4#z-CJ>d>NZg{J~#3yAsY1O9@s8J@U(q*M!*ip<k^4^y^l(-HZ{r3z2#
z8d%8u^ll>ma9*T|cniDo+`e@KUcJ(zQVhRI60{=bze)1nH&fxs!pn8H;441G?8)#-
z=*cD`Ut!slPLF{t7qku#`Nn+l4#Ozeb%u@aHoWgAtDP^rnsvh29PY0f5%h)~6IXoi
z!Y!$D3N|p!Tbe#1AMs3kyKV(HXiN=Tz_ns>Pwv23r7I`w;ROqF+1s$NV5JO^&ycq7
z)zOA!XKKTUeB`KL7riD-)0h%P<TJDDhB3;pV_(W7k&ncLa9mb|!ykFi63+|zy7U2A
z*sRZ8!5fwez8N76cS#y4dBHkIr?^hRduO!ch<s!xUt0GGxNrB#Wa4?$a!APJKiGF4
z&m!@>+HEk#&Ig~3|4u^WGt6PDA}sKw^-r45VEw;2zxToyjb7^#&$}2t3A>$e3w=m7
zk&jqa{T8H!1y0>BAo3Y)ecMt}SmdNCWjtKLci3v13H`~*OBV}Y<j-ASg1s%s4U-8U
z*DG9r%MT2iB*9kC#$=}8){3H%S1{e@;HBTN{qdj*B0uSkWcT_G@8dGwMdTZdbhW34
z;pVf9`-yyprME|;4JHfjH_wA_KXj#Tfp^Ol+T_CVk7y$5;L(1^k3@bFaxqJ#7JhhH
zqooiw%@^-3g?~shaS{2%dTCd13A|wc>qr@F<!i#83sV=RKB|GU>bJjS!O3|Ju0+04
zvlM8M0vpJPwAaJg<~;je!roitU3IWNSy56n{Ab`T-zRt>Px)FToMP;Mya|?m-7^{l
zmxV}pw!=Ol4`QFf)ZNri+F*-6YdnwPFFJ+2o$y_nz#$J}`x{=vU*V}n_InQSC8ZYc
zA8<&uXs-<{P-GH11ovrc&fbKN@sNy;!DRafUKzt1&Yvbm;mec{M6bbYimO5YU{ht=
zWKH<X{hIJuxZa!cxC%U5e|dZvE}`%lQ-rVQuuLt&xyj5A<zS_2sWO}JUA=HV8Q7fs
z?zwe%MgM5gDcD8+(Qg_H{C>=L-(e9r<DK~59q>$dMlK)h%zHY58TOzK<TwIXTP()x
zg~c+tU+;(YXeVV3!`$DOSXkhXT*>DS!jm0=DGV_0>Gd<>@E@+?rX8>#Z?^m?_>$Ts
z?d{#DzjGdsE5IFmWFOYxn9QD$^YGn+cO=NMeGtn}mwUwaE#ocAi2wIO>CppNCH|s3
z3F6ng9$9$79BZ4mR}nuo|Lcx7?BSx{Pl|X;c`ki89RH?9X%lfRS03u;@b}OAt0)n#
zkPFa@gV&}n+7ZXI$fwdyfQzDE{-%Qsy@XYZ;L^FByNK;ogWg^!fwM1}Jf?>)nmGUY
z086<=&QZgEm}tj8!lVw9rn_OT>6U;_c*o|>Z#!WZc@v**I5@&kaUa~wb@ab+B5q+-
z!U&JB)*YFE)l#beV}mn0zwh6Ib$ZLync(F+0n8+pSWl?l@qry4yS-t=0srOtlt>(}
z$G<?23l3;z+DpXsYxbr}!Dd4E$8B(4!<E;PaJaapGjYCOt>lw5;I<nbi9~;OUv@}S
zgZI7)6(IWa(06KO1NZ>*e=!TNYS<ZdeYh^`_mL_1s#^8@U0Csu{j*>2+t%q7GgymS
zoO2jvj*9>53YV5xo$Z0mXFn`B!{fc8ZJ*%=uGI^VVUM$ayj$TaX)aYySg$FUu^#64
zc9{)<i*)w7)xeJ*CM*WQ^T&E=O5qFE5;9q^o3HcFTsZZdhQez&`-y^8I=r$K`0Fja
za>ZltB|MgtG*t|TrYhZyfp_}1hkk&+JaX)cfTP!jpTCFu*v{Pygu`$C`_%;J-solx
zfM=sgrW;^Gv*c7yxI%+HtP8d;tlsSkf7Uq?`3;Vu35>Ue)6xYd`r$!(W-V(t;^E2Z
zUO2ts$M9X4XH`6G0<H+0RyBo3!=)m};kC%}p6hVRCy9w^xb>=3h#sseAT|95&a0>0
ze+8x}5|y2Y*Q@-#sKc>6r_Rm6-l10wF2WiGe32{g`S%@r&cnU2{IN^$qve;0Qm~RZ
zg)F5Ney_n2vQq;7G)r=h99D`qiWY*O7EC;+g{z-_Q9B0j6#4mr8YZ_(?mGgf#AV2^
zzy%Dh7rEh+e-ah;!FLtazp}uL&t0A$fM3nO_1_2QWLUpohe^T$_R+%uKe=W2VV%?~
zUevHgBa;FzeE1m;0|~67_cP)+EW76OVUrQ--Q=Ayf^fcyp2i~lXqUP48Mw1&SLG}m
z<)?f0H2l_SOmPD4CgYBfgFhyo*&c&A<mqB$V70W}PY2;qjv%Q^@Wbq)<sR5m&{kdr
zzE2kTxE-bo5emNod;jb?-3AZd+!w6@b0_50*TWIaEx)hAL#1oZb#UUFycunHe^<wj
za@eovrknxn!Ovb*3V&w0a9$tQ&-|y92hZG@kGu)r7ZWGRg&zfW#u~%l*%<@V;C4~B
zX)`!+`108l*s5B7*#wRnC)axh3($MLu!fhYJU#}&VIIbbR<H`Q-W4CXX#e``BbeJK
zocb|rq1Cf!2Q#dgM>xR)a(Le)9GjS`>;O;6D62ZdhwR<EEa7aI{&+9=j!t2qIm|3q
zlI#Hog$A>l!vB3fyYK`Kd0pLh6JEM{VATiKxEQOa2b)Nw;)U#}r(>EJufflJUDTh#
z4_>6jslx`P+ey#hg(F|CT!I%qb)|*EKmBut&cTP&wU?vd6PLOo&ccG_WTX)=sdh-V
z2;th9lw|mubua5NnEB}Yj3hXa>}~21*gNjT+ACPfs$1_6{HvZ~I}LtfQasKEHwIg2
z<iOOlU*lNd*RJx~S@5KBKHn~wJUS!20G5?&8QKY(sXAok!NqHt_b6cL(!Pzi@CZ{K
zHyO-#;x%arvA=L~_UbNt-~N|Mvl5>3e0y^lo<IKWYB?N29yK!qf0jP>`aNtJ^g4A4
z?jvm|sDhug-Kpq@KXTpCZiPQM`to(di*H2qKEeBW%!=Az*Fu-94meTo;k_1EiROG>
zJN)?Gm8Ck^%<w5`5B#rNH@g=8>Uf2!3pP_ZBT)tiaz|Vpge&J{XG-9BQoZZ_a9!g;
zr(AexH8ST1Oqp?5I2+DS(k~c+V}4Lpq`+?`!^tP$)-?+2moW3ytJLH0RP?XSXt?5E
zfbKNBXL7VK67D*3$?y+c`{$!<FwD>7^5!2rXjilN6ker~E}Dgz`%^q0!<&j`lq;}6
z!V7Uv*pG^rb_xD>+pW$4UNN`Irg(_@FYBg|Eljd0kWU6*|8TMVK5TVVg^U*VJAdlo
zU0BYEatAeh?mhdaF>JoTb!``H>q1#*2-EKBy-p8TT>m4Z1CLLUZSRK_L*8ayhPiv+
zlC#6B)d^xsu*>+jG(PyxhC%W<_*SY<CJ#*ScHy`b+>;o*ehkibKKS!AoP1b@L=e_A
zrnM4*4^f;?mV|$@z3mr-3v_4GCE!i9mu5%clD?lYYOtpnoj(Um#^9fz3jgh0-n$R3
ztI+;&7gp%q{zC`X>Q)ZkhmRKSGTsYsMFzEd!g4zWJ?Y^e92}kQ@bOhndP<m~V#Yog
zE_iD1Kmyb4b8-%Zxti`#tT14Ff5>pe!q09OTh7DZ=szBefn63d*C*j6TDQ7a@Lb%)
z?Q!@DHEClSeBF8Y-yr<fxtlcyUd?sP=!Y-L>T+bkQ?phlzrxWJ0u}{un*sG?JA5-Z
z%Q_EMCMU6Pgp<=8>fXY(uOkFL!WoOp4aKlSLEzg;c+jwhwGti=<1{aakJ!m@l*13V
zm{$v64Pi2i_waF+^xQmnXs5e%4J`L7K{5m0!7fwR04tvsm`#KG*~DAwU`iGa>gTYq
z&&+{O@U@UvmCs=3jC%*0VAA*`r2x3sl*76m&QRmqegfO8N87i-U#ky3b%#d{FEn(*
zUoz9>T;Ul9tX#rn%`w*=z^}%?bN9kD0|yxH!K^ITk9NcF1DIdjfTz1Q?S|loossHB
za8;|l(*T_HE3{t+E*RePX%sHL&k&{sPsBa_{2jLXPR*eTlaL<a{tXW&Jnm3}_1`n`
zkHK9H4wDk_q<4zr6r7qhmna7B^JjOPB(^u45;zWji%)NxgZH@H{4M}n-Z}8~FWmCX
z!2B?5`Z?wBGHm|4{m?<!-k6nd5l%K~$z_Gp*kT<v;M{qsTg-5`*JIBWIOOO_7fLw&
z#nzW?m}VeZgdA?Mw(i=5^TQJ=*XVJ*4ovV+T4R2DOlz|O2RQ2ski+j2sJ8#YCnTj?
zcEgl1op=Ahtyx*^yWkhEI~ISyCL}BeS>Tmxr?N)i5DD+2`(SE5QSlzwad^`10Q`e7
ze5w-`AJTDRhwmtaIkdvg-KEV3;d;}VW1rwJafd&1!FB6XW$$6F%VIUBV3Nhz-f~!V
zDdvMHY|%JpS_m_6|J{2Ao?4RMpASE?2xgRqJ;mfg%HZf8r+;_gb35AFvf%CK$7b%q
zB0?X}7Qt`Ynt~nSms$cjZ(yEd-T}_=Z`OkcOW}yLjy^BgTI5n!F<h7**5wT!aF<uE
zg4IpF^8~`jmhWs6=XZc3?NBf*)~0Xs0XC30Ul#|jHN_8B!wwmP?~-78Ubp&o*ppI(
zE(1=jjB;v&%^S&fWWw)+eP_DhFvF`?^WiT%u_@nRsn5qW3t@@Fek_Bqeqr}~ExgX2
z=1KIoXnpbDIykB@WRVz;N%y>wUifT6+}=L;Do@NnKRh$`*pC>$rxH_wqp;YByEL(V
zU0^TY7<@F}G=Bo#P$$=CwZZvX^rsN*OK6cAF~dS^8$!hS(|rG=E(m8H2vlo=o9o|e
z{s-q$zUixh+rDq7h`?*&k3)$5stH<rB?Je1r|&O;x7UxYh{11WAGH(X*%-%4A_~hk
zR81tqJMJlINWypYg5#55F@{sui0x~Bek%@vy(JAZq~U)F$@hZb13#4WPQ%oL6J9Q`
zpZNn4dH7;gk+>6F;iI|p4D8-_V89p_aJ_f^EWG{sSEwQUIO+N=8Cc+^;Ok4U*z*0N
z^KhBlqJau*dtCPealD#Q=U{$VVM}i>5icS=ufPjui|TO8!lr-If6>FemY1w9z|jXS
z<LF?&hngNl`<o-vEx&i-_`K5X#Qx!XOFVzU{7L6}i1T&YyAaa_n-}x&DZ&3)zEk@K
z2k#I&sQ`aE#ytNH4)mw@R)$OC`d^j8jBf0K#PO77S!!Ov-;5^vFTq;A{kCavs@v?a
z3S8K>N)iwA7M2TX!W9YcieJD+F*Tx>;Sl9s`DgGe?kA70!BJXKOChjoTfh??xYMM>
z>j|u%q1tT#kG^^+?gLwMsQ2r`q3mIGF0i|7YS|OmD>QrC0`_t)EcS<g2S2fS1T#zD
zr3`~*r}_Bo;6F{zHX~pk>;7H7@cR<gOL6cWg-0JA!|^-JloDY1W;KaGcu??AOd346
zHa6uCKOMah_8MLZ4f{rX9?FvkzvscsClC8a!@}>(dyC+2jm=iCVUFd04t4Of+;DFy
z{Nn9FyLwpWX5OV7`1EYr-fys{Xi-T9{8M9qu?vo$_4+R#zWIccWC~6^Jb5t_W^gvz
zn1)Y>6qgskUnzCY(AlDYH?Ic~$2;$yDozi3{C9+uh^GoXwf_%pEC}o%+Hd{um$e`q
zm!y7yXkUljarQQBR%AAj0PFcsF5H5Tie%eH!qe?n!fjwTrd@+!u*&ZK$cHfdh}K=A
zKduS7j61;b`JNoaczrlYK4}kE{b+dY2HPg%y*O~}%$xx+Uh~#RrCng@#}bn^u##wH
z;A7aa$td9=Jn~5%uQtNxtxf;$F8pKY+pr&e`s}Bn+i<w-wNYPqG@j|cA$%@v{6sK3
zeC;IHb(p#Bj#wZ}!|IZy3G;h9b-sXy)JyiL!y#TPJ<;$lqwT~C@M4EEUlLqBz@l{y
z_KR5&NPsVB+!#3nXGuMBPJ=^sJc>9CTYmcImI6l))o_czTD1?_GGWd3uiuWtmso#&
z$$)!kIdAa5E5_Fk=E3CR$M+q9|MTcPk_+$bba=TRPTYUNwiwPi<EzaEGm=+5Dujik
zzkFwe2aiNBzlS|rekkpPIezS5uYrGX3U!ggPIt`jHo(s>iUyFv6f?sQ>S3Ercji?(
zTwe`x6)kXvv1juVyk}oQbu&!r)TT27AC_m>)d5$rw9-z&8du$z+Tq{`_NY<V{)IsP
z5Pb3(!}bsy=NnZt0FN6PJne#+*2Fdcz)KI#&3}PqD-v~n!;havxHrK*_b1b4VNsjM
zq7Cr=C5_iJ@R`N0)m5<CO61BS?8Z`KQvqL5*;t>4w>B6_ir_~{(kkn4kM3GwK0ICi
zQf(Ffnv7ZxroJ^4PhyAsS@Og}Iy`?-{^b_pCF74h5@0$7$5~3mKa`rCjDsKk?VBfu
zvl`24!eL)&1_e4;7gtFbe80fr0u5ZQI8EXY`)I~LXN0LjKNb1H)1e#D3~>K#PI)(&
z!G~vJAKWsry5J0Fs{EYU4cmWBq`wcpN}`fsgDqVhYwy5A{HF3Ouv}QnC1ZH@i&rQo
zJZ6_dY6wdS%SN%o&V5SkmtgtR+T#ad;a{9>$}oQd(=-QMz4c-IG%Q4YQ0gcgEE@en
z9DXV<e}N0WwKr6jlQ8@F=R9zx;m!H|@IU$oiQF*d@oUj!Fs+X13@_Xq#IH&M|Jbp<
zPVE2J-rRMF7WH}SxH1tB?3EE2fRD1R=@Z9ym2H{HhX?L<W*&hrJxfS_1OL`@s%C{3
zPg_p8z?SFFG7!g8yr+=l1Rp#V#l;K{TU8inz(rYV7DRg*VPU(~;KE>87otDkij<ud
zgdaTq-FyI^(+XbVhaE3Y_UwhrX!CigVgGl&yhJ=-*tee&c1U16L9~z8TzX8=V7~KA
z_8{6f4Hr2%3E$?Z2qxN(i&Zskgzvk{4HEm;_Hwg*gqtV^e-Zna%KWR$hOc((h!Nv+
z=~?~5O!#B$18HJ>Y&A6kV&J&;p{K<79RGY!CJOeAejK?UPRW`5;R>_M{P}qZ{wz})
z=?pKDJ4_J$@qH)NVH-GLvrmi<p6U78Wd*Bu&Px;h>6dTt*9g`VQ4bV=Kc?}g7{C`5
z`a}5P%Xt<;+OYAw$dE8>H!MDS1?F$7_<kIgzT|4D4C{0-2#djLZxs$J!kc!{q9@^N
ze*SM{VfnT(&oi*ju}db>aMg_!KXLdQU9YnsoP0p0TLz}@eIfK8?7Xv~PYU)OA1OZw
zo6!2yUxAq?n7Y~F3nNrb8t`>deG?}5HQ6ImBbY^|wwWGg&s(@-0FU+3UZsSuu|3hW
zfiqWVt+%L=kL7IYJcPA7bhZ}Zin*(|-oYkg>}136^Ns?uQdrr^GPny)7nr@=28)r7
zWqgJu<`uMC;C<iDoN9mtuNcnt!8at1#Jz_<&E+igz<v5IeD7dk@AA-JFn7n*kYadh
zoho7smbj3=KL@U_-66aH`?tA!WxzSR)kXiovf+IUNiYeW!e<hDtiK+Mvx|j~i28PH
zAx^HaLK+T#O?Tp^Lfph!t2h)kiLN+I0WVGF$@{@?YkcY1;rn|F^gUsZm|8|wnD!In
zgaZ+mdu_-Czu9RVYY(sg_;G^+_T{POwSWV-UTq4%7c8`b@4|8~21x#cYkG><Z@{Ls
z5pfdm^a*Lt>u{VweWDn=dnSQi3vLLEotB0lx(?M`hC^O|nmq$I$KtCm_~5a483owu
zwkyd+*nLlnyga;bVmMF+9;3cBs16IB)tEmG|7-{zxdfZ;EpiuuD^6=4*M^%?ew`44
z4d1(oXu@ZDRjPRiN07AMfU7EAA3X$@E*@<+f;-RdDqw@hw7+wh!K;y{O<CZ-9+U@7
zVHJ<WIR^N}sS1k+aL=xW)Sd8~UUIuTa1Lj9<@yfv*IdDSOPIC0)M^!`z28-D4o7cr
zZqC9Z-5z`FV7poQycsx~J%!l@7Ie&z8i#ieDBf~{T{0T~j=~8Ocg-AN(+DA#emH82
zw%8pO*j5$lg@1qhuhbR3s8&?o4m-&<Q2M~W3vCu{aK!K!^<%gzU2MG`exKl~695PM
zspZzenbfhme(<h@63KGd;lS}%A+S>Ur|D8yR6{v42woLE>68bjmG&%0!1;j}j^)DQ
zCG%^~;OBSVl%>Jlc9fAX;e*4?TrXjN)dMk!a5~+o>}dF1O5%7r?7=T%6bY-JEB>7d
zpD4@t69kLSii&5$F-&g~p2B&0ijtYIGbOvgV_4;-WM?Vt?#dD72Gfiw_msetwf-FT
zaJ_rg(JJ`Wuy4B!>=4w-R{`t$&R@R|&$~$3*TE4Z)4T4%@mk7`wXpr9UYs#J6kYVO
z5mxlLqHYNLNY*xegs)6j_iMvJUwK&C;M%I9U`<#|_5^ziycT?DzY0uuEZpoXOcS@a
zO%Z-~GydKe_}*tPJvsR9F)hjwcq!MQ<_sJmrAIvkubyaC6@`n=P^3)3!aT7B$BFHa
zP^C}8U2Al*Jn+`l6uDKniL^EKAgs>*Qehcp;*}L)gS#cmazq{>zxh?tKm~K3e3>T%
z+sz1RZBgOxImXXLpN9o9Z$4OtQ=5*)D!^KQ2Ulj`o_zzKjp0G5xVkZTaIT=k5bnrf
z*BFE;N8DZpz^Wr{?w{eYZ|76}V9{$=b~eDjo=oUA!w=H_UMYa(D5b8pz$d<%e0&FQ
z?>Bk+8>V5U56y?S_I~jD0}oNSk`wXMGW`|Q4(NZ!UoCm?=K`g7v@pw2O}R3-W?Ey0
z7nW#pqaor0gDrpf;Zf0Xmr}T#{{z=WcyPzp^KW3a=a)E?U=<OuvbS)l?SBd8u$B|m
z$!z$e%7<7>INSEtt0K7mmG#|N_|)vs*L3()AD3A?9NH>&k!Y{w*SlY}ut3I%+7#Hr
z$6>4vX4CQce|vg*d)dCjPdd(QBqPpdGt4{+zm*BF%z|eY0ybCRuL1l%sc>Vo@%kFP
znQXg4oR6?J<qt+j^w-2+dgAzg-+6vAz)xddy@-c%B?_C5!0Y!Y@*?4=yw;XOu)2Pg
zR4~j%Z+%+?rdYzOO<^6&q<hC;-I<ay2YB|#y|*V}`5@c-_VCedkFpc6*(;$Hb2y&n
z0+l3O;WhdCKCJXcpIQPwM3OFM0;e(@(3XX#SPUnO;bwQ?tI}}93Y*<EnBnA9$~m}0
z^)rtSoP1|*h8(<0`J&u;n9i$l;UXO0xHfkdb~`_?bRHHSD{+&A`wO2cT!JN%%!DQ2
zuCoc}RbYDVBb7q1AeGXyD{v@Fhs812%icUv4QA0)@jC!>CNhp{!>hK-r`cgwk3(ac
z@GIe>kGo;6tr`)1m@dS?VHd2j=jW-bu;SV7uq{f|Q%g=>hA_h?H-!!O1Y4r79_%Kx
za{UjSbmREf8*uuMc!uBb<pXk^MsRb1UhD`wSk`>d40cW4R2_na<oXYr!abeudOP91
z6F00L!0crDPrt$)-d5K4;H+p?)=zLs%Usn%*p0NLsS!Ruxm{xkE3Vt<)W9-NT<9Oc
zc}Wb^Rd9%v|1LW?f3qc`7%sU<dff%i9KLm-5H4e(H*|tW6AypQgqe&yGCg6Zs#5O^
zxMesX+Z`VJ{%Cg+tnaeA;tMlN)7Hhq?TuvX-tfD+CiUlV?7IgS17UxCUD9y)bBC=`
z0BmrcEjR$~W$Sw$2Dh=L%lZ-fZ;nKTz&*Ebx46TcFXVql!c&iCU0vZJrHkVcFb`io
ztsQKACgnsN{KHP7!W!N#d3Evytl__^cn==g-12w{7w&OeGlQkilRZv^H3MXy7{ONG
zwLYiACYNg^4B(dwI$u)ZQv#3cwP617RE}(T={VV=EAYwsG_Fi|{{9DYWq9AtzxVUu
zTiN)jH@s0YWBvw?R3$$v3rlH=zAJ&tn_T9lV5(-3iXxb;Ro3GqoKgOex&mJGEfF~Z
zU){2xeFu9_J67?-#^*D2YGKx&)0VvOs%HANYPd5ee}faYm>o#{2=jbDlzRYPZ0=6~
z05dTBlH3cs%%7J13h$AwiQffhX9~-IfoaNp{@Vf9iCqusfon>p`zhd=vdbY|@NiV&
zoec`q8@2JgV?_L_)2C&)=wJx{DE!Y~{@P#IHU5p=Bz#CMiDnwMYD#=G0lSTwMgD}V
z^E!7e!)7NBtPaCZ%W8Ko!X4~mKHcz@=8Z*KC;UIyoW7WLxTog(GBteuYZ^}@9Pwf;
zgasCylkl&DSuOg*_Q6?Zl+5L@`{bmZ0PJ?WiN6T`m-XQhKfFB}Rgwiy>lDAb0Q)aJ
za88ExS$tlfgQ<FDs9(U^v4%l<utM&;{o(Mc5^u;gxZ`thMgT0yxVPU39#78K^@C47
z?H@3J<9U6@-QgEIGHoBg4Uz8^o#AAg6ApLa^ta|W@4;UscYm;i%jEs`+<||wch;N3
z6MqeojNp&rZ+6?k+a-3F4Pb?z5BJ!>R~uD^wBT<#7mb`?`xfJnD{$m|=q+2=&i}`$
z(=gqTex5TNl)f}B2D8cSEGLe)mvK&%0-l_?Vo98jvQf7e75qHtrM)p+d5^v1Cpr30
z>fe95u>R#$ieE6xaX(>A*q75Js}+`-8UCpP2M3&4`waglA3S*;PRfo?DuMl(rW0h~
z{Rx(TOX0L5^~sWOd@CtU25ia7cU2U2Inj1C6MnW%YH$puNIbL^3Wt(B*v$i5_)n;Y
z!>akFdyc@3S~<M|@WSu*h6Auyk_BH79CGe+6FYojUZmI?{+V~iZ4WG;G(-Lb{%)(_
zwF~xXddOi9zacLYBd#ZgNxlaTFtvH51QncGGqGX`?+{OXNnD@Ndz2$>;qk@yY4h;D
zyC2?|z++tEdQ)(2j`@};9OtWcow(i~u=77PfQ^3EF%tK~?V8qJBe;8EnCUwlQ1s;X
zRoKK=r=b`AS<YLm3y+Rfwi5TFM6kNP99->p#;XN3-T(XbSvY+<Dvp>RJZx3Z4wB*b
zYwXLv%Hi8PtLFP)GOg^HVwlabHKrEcxke&c2|whQQK^OnS1aV+!n|%Ob7^oa>yE%G
z_}_){<P?}(`9d%;->9FtClm`a)jaL3gE{28N21~4%BFr|zA=gRH4laF1<>*~!6*A?
zIfG#}t&98(u-WsZEFXAEm8Xs9->5UyzpP-tG4dATe$F_$L*EfDJ{6S14R`RiSXjfg
zU((-j!h3c+S-%U<|7+GHuE!u=7BOwusr1w3n=tK^=4%7^i?X1bJM71vY_0{r^Okh+
zgg?ghja-L46mK(y!fi#r&t8LB*j*T(!4KQHN{r#^%g^*<;J0JkW`^+FmTcWv__?2U
z-)%Tq{6lIoe0Tfu(_8SS{%CS4?8NW0^#JBwTc6H?yGdQ&+=Kr#a82dF9EG`uY~Xs@
zJFRsvv%2dkV*4n=$WQffbyik}EiBg4o!t))D(aM*!@CO@vj*WI4bS8DaILd`_ZobZ
zwP%jlf3)dk=LT#$xOK}8-k0(IKAkh>3;AasiT<4rV!THW8zhySCi=JTwY17%m_>e3
zh3MbdeUVB>;e2K0YA1NQxZdt8yv#i4`4FCaE?|2OemS_hK<v*yd0tx&Hntq2B0f)$
zY`4xexYYVnIPrO@75k=c!*8FFEt<l2UCd@~!K}Z2dlKX0=4f*I0c<$naY7$n5_grl
z1B=$Et1815@eiL^!c^aXZd`=fUdo4<68p=UR&u~cf9RhxgwHsB+Q|(w+w&_C$G;P0
zS4ai3d{o}jfDh<&lF`6+WI?2t;Bn8W11qFhf3hhkIS-#Kn!CRSTe9kwD!_?!UsmQ|
zfeLqXDfmeukKzLCLn~k@32(YmbpC-kzF#>a3cJ~8ADMwmd&qc1V3J;u{4rSQhd@6+
z%q8qbG67RQ9vR?;^AG3-4Z}C9X`gY!mYqoh-{BMn_vZ)TQW4Fic6j-Ij`BX3&+z&A
zudsk$$z@{vMEd_a<ii0!W~iv(fW-eA3t|1izq^R>KRT@J=MTR<bgF&<j=bdB{S<zu
zdaPp{_OIf}*MJAF`8*kh-PYAeG~oyvy0A|8p27JVKKR}}s|#)LhjXU81PH%Bt@aVt
zP<nip2A(U<Ag_k0n_|Q0VDiNH9p!LC&e5zj60AoTGFBGCPhU!`ZNQl(Oto)_xLehp
zDVQwA-#!CQ9RGB429{b5aY%<Zn1lX~!7q)dk0-*#BhO_f;3v2D2*<<f(b}JeVG^>S
zvFGq?oi6(iI5a=*S2)~8#`>xk=JH^P4}`TsS(f@?%^rco0N7UNo7Y!(SI&!S;(6G#
z=bdFA{K~(q)*3GKvDx?nJ47A)aUE{Ga0>s)6zlaX%0KmB|670T+Tq4P&UezV3hj-2
z;&_LRwJXlR(&J1r#QwRYY|n`K%K5XBBhmiDiv|(I^QiRhGGzz6k(^#cJWt;35&uWD
zFKfP7LILm4`|d`x|7l-R;4jRVcb>j3BiawUvJp(=Q^!KpFA(i3Eu47s8Ri$3IzjC3
zINh2}<Y!6?(P<-a`aYqX&9G&O*aFc%ZnROi8sRq-y&lB*@XVBY7r>v4Vjg^l`Gpj{
zi06lC-|FyhSl2vRJO}RY^E*zAml->=WEPxi&09VSiv&LWn*uX;=F^PByXV%X(%`ZG
z_PP?|Y00s+GZfZeNxZWNcX~PQ3Wh)QN-h%Zh5mUc<N#Y{CXdX+rJd^{_V8H=N%KE2
z)9ZvdqP|i3w2yWcrZ=s7X#$Ie${r@h|IQw~-4dQyOnXS2|KV2dTSUD!D(4~m7QWz6
znX3yAxpDp|f|sphONjc+;$QodSU5K37%5Sog(+H`j)A}HFwqe89A66OuseKsHAa(Y
z-+Fg>s4L99S4xMd&m4ECaM;21m*oE3foF1@Jgnf|7l)>A!#oRg^mkx~Aw3BTSVu6i
z$`ocvU6y<ROLPjW7!Yn8`%KhJfxFalufh8txOEWykw*PpQUflMliYX?i~s#cauGJr
z%2|zqmu0Wps>4*H)#k+W`0vJxKMJs;j>3K7dA-EBZKw(#Dzj7m1|OT`vpElQx%^h`
zfG0v5wx!_kC**=ezJ2Up#~v}*>x|X$ak!<+Cg~WQJ<#AV4a<0cyet4q8i+dofuDXd
z8#)9F>iE|GgEdRuhH%3-Qf3=w;Y-H42Uy{U0Z*@Q!)he6ZhPRsk~zaoIBe}19UYvP
zdiphSy|=vSt)PZo;uEsS;F_JTN+ht|==Vh$SZ}*#ZF5^$ZaL%p$_{w7>eiD*xcP$j
zSt4Iso=KCKhj;XjpQDH6cPrOV!liB8A$#EzH$VFcnB(GDI3t{}*&fmjQ@&yuBI*OG
zNP78BxY6(I*lzd)-RgKbtYvynhz*vjI2m0A575Pl5&7aP7EYNYn197(iVkjy9}Y~0
z)6ZO;BhIf<@nCuw+@vV=iUjsm7+eU4Gymqk-ooeK&~x#83Uib=?j!o^=dE9yp|Ib-
zd6pSimf1V&2|S$D+e(aw@lnw=e^@N^TKiA<v|*dCCw!il`d=IT`{jFUKe#$LY=OuJ
z`Jd=*yTh6Sy2ixykX9KU=M8J{P2MD~mr*HxeiwK^wT+d?2Q_b2KXQXVYpin+_2|Y=
z{MjmO5;^+yH7x4>XxI|AFy!bZ?(akEFIEg;`g)p>1el+e=i&``?O1kL94tdy^7R@_
z+Zc0^xPD(aOC8dOlTv=GhQTx>x@VN(TEl*_09bmw*IyMrv?WgM3)9{DmwX1k+IOtV
z4d$*kpOc17rK9SI`{k;b7ws{)Kr+nH2G*upxh4dw-PqwytY2)|Q(JSwh3=H6{(pa#
zJJfK)@9+9a-a>pgk5BI|`0VR|S>pa)9{$VA1gGe*FI|HZ6jtO&VfnY**_UB2Yl9GS
zxQn+kpI9#{`Ftbe-<Gmm#OnsL3viN6?a~5lemnNwIrz~}`Nvam)&5u9#ClcNWZah-
znA^ks@EI6yQ8pZhY3~O1ioz#Ut+OZKCP~F%A-KKvL47wobWZm<A6%MPxu*|)nc1Jh
z3CpJ*?05tJ*eIVq3QOGWe4GPIaHh>3hQ&G58Pni>O&*d0ur(LS`(*e_$sK8ac<Pjs
z+6!3yo$M1~_<<cCNi=L@%M)-MzCM#27y@@#H*x&`{Kc342EcQ4+1$kWCz4pZc)>kX
z4)@N&Nwh4-J>Ulqbj^wNx4~24?;gR~y5l73@WZ{|IBZ~@ggSDf|NKHOXWoMgL%lC)
z!Cbed_3yyLFO4;b`8!Ac{)7=cKXu>*F@MKvQoJyL)0>y$uEGi7UOd{c-ZfL<+pvgN
zmcIrpw@*rx7+)GD0cJ%waU|}eHLSJ&qN4)b;9}Wi1@BmIpgaS2`qW(~)}z?Cy6=d=
z>ZH$%T;U8g-Nj?@ZpGezPvOWQ{cHU2WOB-)KfJwj_$N2~w!@)=SP$xYs<g@m*KtX8
z#>0M!pM7@2DqAc0g)p7*{ui`xhIDZeaewX9OW`4d2b*=nh<fM&?H9@QP0SA)3=#Ek
zwY+}AKRB*AVvx9>9gNBxW?|_j#S!9per8pHasnQ@u4F^hhr`=TW}~pgnN_=P_{ndt
zg+BP@&S`35{&1w@zuE<VXpW{M<`25_C8Mpdkr2H$F`vIGr+EGee(>(?)!%T&)n^Cm
zU<c>tlgsdNMjr1f*kt_7^dii%QN&mR_nb`=+k|(>tko966;8^h*Wnw1{%Toppa4?~
zF@I<D)8?ncrV52^#QgZnF;+SOE|xg7K-BBELhZ<&!^t{jONWU0QkNzq5ay0G_7{N%
zxNpuqfse<`KNW(1pI&x#hYRX^%!u`b1z(de2blWpt$PZv<=`5J6)f>g<N~oiK~b+L
zau=SrFHyV-&t3abX$-F$E`%Av%|nY8hVTrdLj;lU@pXo*Yr_;*@&`@ehUlbhP59&&
z(UBW)_?+Zv71&B8*4heAIj0$W0jAGlv$KFrre}C%U=<VF9j<Wn^)>&~uxZK+jWevQ
z9mOmHhdVQCdcl3x(GADpZNCt04|uEflok&hGq>A`$an8?u(5K$oK&7JvGDVhvedmW
z)ddC@B0t|rM&e8X-_0y^Y=>tzuFdQuw%<D$KMkMS|016pzB(2c`xlP+HgklC$7D8A
z??wI4n4S?$0*iG%rDBHXgjeWjV3NZxz6-#yk0?3G;OG-=qeMNUS5lg}x`Fvxw#iNc
zuD(LGa}gdDT74u2M}L18Jp~^=F;^oEGcp?}O~PrjTy<w)qa93L-{GCAdv+4_)^Epr
z-(h%y(~40RJ`=e=sSREp*VnxOd!H=RXo0tz$_$8lRCD{#y>hsID?VKbzTQ;DUIyFe
zxxW*KcPUfTo5RJQiXRHYdPi?vw}h{{esJQ0*<NylT!Pm_C{7%N-I=Y2)Zs+VI57@*
zrnqTY1|C))nI`J5>?GEU@-V4U@4_y4hv>d(URWyjNH#Sbnr0yNAFLA`QA`5Q-dnMt
zh6ihZKUhV7e|&VhiWU~!P_<l!Lxu;H$>6mcDLk{VsXF@$3b>4>;sjBj<pe0`_N^<+
zv1xKm4#D?dJ<1q>MczM~8i1E(nNNL#e@HK<5cOKE)dlY^_{E{$8DC(jC!X>3aI)R0
zPc!h#?jqv~c;Hf6>lDnPs6AZ>FP<$oT!+8s_Nl#r3paRf5a)Z!(xpEgrn1d`O?;jm
z{*r;IaNs&~_7>uqSp%$baMLKWG*OR=W~)0z!IP@4vc!5rF6TT|2wZ1t)y@XDNa@}Q
zfP<?$I#^)t?ac*GxV(-(`xxACd5g*!=A!V)C9XG@%W2`(@IfCYNptwyt6z-<uus?*
zabi7S`;vszZNg>qzhA%;P7FrZ;FHuJf5pMv6uKS8u<ij{hb;J2rGV&lSZwo>eGYtO
z#3ua~98I!LRROz`itQk_Pqi7KsDi^Qot^H$q{^a~>ft2auK$SR;fEMXP4E*f!`+YI
zq5rOjwZogHg|)VDbgE)V2i%^zc+wTNZBFg(g|*o(j5)!@AN;-!!r5#MpPs@>)W7$S
z!C~Y~F8*+j-w4|;cu&2?-!PbaOaA5zOu-bDNc5)=m6YK>_%+LJ-z1nn=4JXSJkxtw
zECCL?nUTB+4|FvgAjVU257QqC7ySO6fxI;vc3NluO$7_7Ny!z%p9XzI7~rZ2>)8VM
zQE~DyCiv^*_pUnlVexKzHaKOC=}9d-o_f@FKRjEZxYh)_c0I2+1eXihWj4U26^*4l
zaF^I%Xb(I`Crx@B{>n)qPh6kXWY@Qa;CK_Uq9Hi=@t2F@a8T~GTg3I<$Gv#|G<?R%
zzxyXF`SpIV9K4_J)sr8v*1oEMbMS~frNum~GA8j=1^#u5gL4i(6kzt{61-8M9JUI-
zd^*ae4NpoK$}huI-OQ|4;ePsnqHUOlHp18tE?A1bwF&!WP#WBX#}7>_GvIz?UiD48
z3wL-dt<k~as`V-NVU`|Fi@mU1+r=qscr5xbClgH87%*uIFWD=HvBO@@45BV@+6!fQ
zR`~aR9T7L!ciXav8}1|Ncl3dG``*9B2}dc}+55vgI|`JAU`o}ks!%wlHDgT>HeJxD
zd<N$gHJhJ;rTF?OUl9B6so)TWFF!g#5eLtD41}J6g9j>AQ()e+O>(DUgAO*8G`L=D
zqL7%+*6yT-XT$A!?IyBt<Mq3tc`*M+T4fFR5Uu~gYPeak<+TbdvG9+p7LNZien1Nz
z<a~Um5#GaD+j1E;TEAi10@vpME4T^YR9MRS3bWfZ+%$%}PTkM$g#Wn?b>4xGydhZ}
zfa#NSeQv{6ica%GaFpnW6$_YRo>6KXwtE+n@c<SS4UwFHb30P@+ri|!cpv|T)hh0N
zvWDrFUVF~L0{X5p&M+srLh}k7{7QDlfry7SH?G0^S~YHX!q-0E+D+z)`OAf2w>vCI
zF}I5XHsIs*egfy(1YV<qPfK=-`oIs>Ij+*fl;&gULGa<(vc$dc^Y1Y_PvK5$^#o>^
zJT|>494<OHJ<b6uTkAN6!P8d`|2zoK-hN<|3{#w~7vzU$3Yd2#!Qri@0s`>S87{93
zxOJM^_5|D+S1*zd8*=AbpM;YPTT^r4l80By&%oQ37FyY`n#x9*G^|@{+fW48w!S1g
z58oEt{ip!GrKUl85msN{H~9{pB3)KegDE<4VoKoz{!B#;*p)YbXDuwja3$<2++%#M
zq6*#^pb6E5d!;T2HNdI=3VMv;!JcnJA7IZrmfbgD(=(lyTVdfhY~1%?dPyVFPcUCg
zALj#@<*=dcS9nmt*USbs@E$$<1zy;pdfN{EGd~j93%|}=$#sD{-rl&-4U3-*$@YM4
zS#<>`;FnB)r9)tfK9#4V@QIf9QeiO3;JK|oaO(~mpJ@19<J+9yu&wve$8j*PMtb-f
z%rMydDFrsn+oP}oA4@82PJ>%d(v%SSPyxTio*X!Q`Jw3+;`9-hncl!QWVd^$5Pzgb
ztzQCv;%$CH<X_Cjv%015zOsrnBEPz+l95~uugM+Aq=hd~JbzgW=U$`d*aKT~t4%h-
z2NmwLFv1BQvcH>QiSJis*$B6;igdsykLS)X!v{M53V(wOuEgEof@iN}IrhV+$YvOc
z{IHfZ-C+>kmDBh5D11BbX6;Xyy_#3_FdR&Evt}IDm}N>AfH%juXlCFaxAe97VUN+n
z)U)uz1Lqrw{PgYo4~=E`@x0$7A^1h~AN5uEp2)*VaX7p;E1JZO_<cxT%qh6<Xjv2)
zEFl!NlgNL=qMSx(;B%k8l%Ii>B$I~d;jwSAFIC}|MpNE>@aeI34Q2Q|mm3cY9Q9vO
z-4)nv=$s`dd?Ws+wFdlP;D!Y^yz}nIv1_nS3;$bQSXJg<gbrNwP^E+)mJaRMVFYVE
z+q*3c&o-=<T!&8&OKzQjd6RnhP2oqvlousoWy$rPoABTf;R{l5ZFG;yeYiS(Jy-$O
ze7>}H2WEJ2J?J7V|21dC5l)p5>{5fb6h4MLf}e}u?9_lQ4=0g%!1Yw3oY&yzONIHa
zuu_gWhaN0-J@AMx%$Os4`v%+)7W?%vEU@loY654tT3-l+y#%i0-Xr$k=ep<*OB{^M
zc>t$9xpL<j%;j}&$p&8byv7m=+j12y+QAY|f&tO+&pbaFS9qf9*y%{vZ0U%!CoHGf
z!TAcdPTlhHgST1RT2tXn)hj*$FvGJ1xg7YY8Wl?nJgVrQkO9}VX0t@W4%zPnl3*$&
zPvZnw%rdJl9zGt;b0ZE8J2hxV)N^%@Km5yt-}@KW6X$1LVmhAzpLscP#Sd=e5t7P-
z^G~#s68*uz|5+**p2;Q;A^NLsF5IUWwsM`2c7{Frm%QJ?eS3@Yi2fQ1S1@XY;}exC
zU0~_WJj2h#_9MH6ec&deV$UhqCQ<bdv46!$Vb2*@CYI6A8(w{SB$dt`-;ZbSWFz8M
zE!ipbFpEjcQ=)yFgg)29aLU4P6w$uDp}Ff(*j6i!mT14|l7W^5%y&Ozz#RUolcV(j
zuF@a4OI%-ifl<f3;QBMhc0_%-9W-*>13vWN4H<F0YWA|$1jD}8FO4q4=c^5B0^#Ee
zb5n}2zk>heSa^)RTj?C!Mc;fm1|FE^>n84}_7FRPH}HoqW<O5C9ar86<iJ5c%Pj?A
z(Jz%1<#7A7dkZgI;xJ!P22Wk?)FtK*M&ZRvjqp3?z!G-&NCl7DN0?7!RDlV;z?2->
z3Qr!B{I?5Eu;_^V1PfdUbKe1f+f~Ke2V3qE8zAb#uNsrQJuro1@Lghl-6zmgIu4VV
z@O&id!xoLX(x31ohll1gY$2gfIt71oY9J-%Yq#TGq?2%1^udrHaID2Ir8#)^<ZbB@
znD!LC@?Y4kxTcwS9%QtdKU;$J!pIyu;YYWgJzIbaZ4Ic1=TEHmOy4?89~xKG47XS8
z?q7vZb}h@lhtEV*-KX|IzBlk7p%T6}GI*Z~HnnXMD27u$9xtMYD~+~$iRb6ZQPm<k
zm`?AySth*uP|OAsJnbE_k9c0Q?JC(|gvozQB`3l`>6_<RVGC7`%ki++pxF7nu%leh
z{XqEO5Bs3~@MaGcdjPygFg%D2p0d34ipWoN{M$OYVKT)~Z6ZGra-!-w0O!3?u_E%L
zqH~g*N8r(7J5C}$vQx9+B(_iZBz#&QR`pH1%?r<NU;A|pUd!mceHhNK+e4-Zi>Pho
z{s;5$Name~+x$<z;ejWj7Mf4OkK%NekHH>%Y>p?0_=L@}0Ic9<PxT)xrxhqG3OlPs
z7ZLR^nes<jA-GCZ^D{HNd8qq|7<}-AjVqBaSBWtBoq)CLk42NimmT)EpN2>0R4$Oh
z`;xA<pMuFmscy_7A6M7XWtE0&f)4GPf!Uu&vJ%@jyA1FT68ZbvP-8jxE#-1IQ7?}$
zem0hZlaurQ5%tNlq}mJxxL&s@iKtIlT}CqGVTSWO$E)FnTWzz7@b@!P14Mny=twtr
z4rWtbTFQc7e4dj~g?S#*roD!ZsTofz!%UH8CtkwyZ|6KN!(D3*BSihx?0d}f60GVb
zx*h~yPTkR@1*`2=cumxMrjkdSuE5=vNn(#-vivnhJvj1g&QA~6Tk_Oy9a#4Coo!24
zkc(W`0G5}u$uWl$n7DQIVZ)AgNmKZ)#_yz?@X<ZJ6F1?sy_7GF;U#);dp$Tht7*av
z_6n9dLe$48az7_bVbZA=`RZ_uaH_C5tdkvYbO}}~?Ge5Uk0t3jNx@0XVGdTXZ-_ph
zB+N^b<zNAa@w_V*feUI3YwTch?NSpVc%S#98XLGmjb)Ap9*p3jc7{nRnG%n{T>LWB
zj_?gOYrz9BU-*Q&2khK%ua6Br$Ht=J0>3ZgU!;b!=gOiU!(x%#DO7O4XnT|=%qHj|
zytPKG_gW77!M7D{ht^@*9`9jacuwxy{dt(lgp)Uz*gn3VZ4TDDpu`&hXEgYn9DxU9
z`z^v?@hf&e24P*}S&I-@%)8UF6P7D<Es2EF)ZTM^g^N?eN+RG(qldDZVbaU&Td{EB
z^iJJII4?|oD+<1@(Pr}&j?I35J`vvUUvjV*?pyCX9}ge9%JL=~7PGn%lnVEK-ngC#
zJB8i~N`^y73@2a0s)hsKUc>*D$weo^Z#K5SrNL{O<b}a7{+Y~y9GLpdPvbyXZ7$*f
zvAx#gbZ2KcFK*K$5AKWh;dg|yUhTS-3+MKZmsr8k**00l@P9&ew=7_H?x?JM!jnGk
z2C!Dd{J&E8kcIIveR%#L>wFO$+I2`#8Lpx*m#lzk{MQ#R!fe^kB#G@u5-J(R;Xj+h
zp4D)ldqmYqct<srS2@h2pwoL8o^n@hdJl(R5qNSCZq>7Gs)Bjzrd~3_T>%A*AK~Mq
zHR=qoY4|_J8d!K>WO-o~`LH6-wFX#0yfEz_yxOXHtqx9~w66IMugtk8Hp6Fa6)c9~
zb*IL}53ot$4d#z<-{HyePw-AXkq>onjuyu+qP;^Je}@X-)d%9oKf}65D+BZ3+xC9P
zn_$bvo|94V$34+@?Qr3{v>y@hw=zciM)=IeepVZp<{wifu|M_NM7<TPDe%6s9uDL!
z_PYQ}?Jc5cg|)aIi=Bf#n=~njxE;^*{X=lpB?;9QxRSq|jT_#h%X*3Eub=b|1B)xj
zM}nuqiSuEnyBIJJGq4_fUI~ZTY4p{=O?!Xz6Q6gl{z1Pgc#pmJU<pim+0yheY^fo1
zgy?S(dWAinFw?QC{BiJmHW$0OWo5bi+BVA+m}f)(@L#yJDaD4kKXO-(WxRkHJvPdS
z`$Nrjk4`i^Sn;}?xZe^A_@3Is8H|ghMBH4S;j}G$S+{_kh*Mc{T3mr^lxLNm!<#e|
z2Q*;H>|9lUILI~ZJ_p=w*840Jmfv<@+Yjd+or!jUV@Ph57ULyd&L<Xz++p|aE4K^b
zenGoYOL!xXyWJ9IJ8_f$5!`39$ITqhIk+ZxA6C@9-YN<I`}ft_8V=jmaF&2){Bvy|
zz-~RWhq&Nhqpt6W`OGKrXZr#8KRNPBVt<A&#gyxd%5ov6>&b{XUCQgi75KFMP731q
zi=P?We!&ahKPuV7UhQNqW3Zw4E*0W<aj)-2euKUCy$>bk!>S(La~-h2U(+z+eDB@}
z`qBim@$c<+gJ;{F+#6t(ZzbKt{8(9@yR#amzGuwg4d>jCc~=2{94F=Uf@4ctFBZX9
zd(usa{#?!|Ud)HncrM<00@GZZ^m+|5*#3G=j7NvxXW>`yzi{8oK$!9cMO6Z<7tN$f
z+|Sqd9QYCnFaGsbc?VBF_^uEGe?0VaY7GAS!$RjN?3aCa>KDAle!M9hc1okI+=S2G
zl<NqDE7M+7Y{PdIHqJeVxf@Of?eoO?Z0h8tV0c*ib07=ccRZyg5~g+^OFjvEAKJDL
zf(^8TlEq*{v%=rR{w4n5rJC^JhW13F{qSnVQf)ZoqX!cazdA0{W(|ivGioHxPjIJO
zn-%P?TB!XP_M5z;>kgZ^2IslKEs;XHo^aW?#Nj7!TFO)YDEOnAiGT+z`tdq{4E)uY
zHo*^;jaqK{01K)t<v76%fBKs~!mlKwxQX@?eYxwIy>NfbybHSv2M8ai-wUTmAK|(I
z8$JH0ei$|y#<!gCICGWyLHL&Y2P!T2TK_99ad?e)gZ>g+Y#GgU3O>5yZtOYOq4j8{
z0-PA@x+n`jS7FMOhh0DY@e+q49W?(c!mI9cLZ@JrCYiq%U<M}RN<lb`tHe<o4p6_z
z!UuEc#XD-kS|>VExnR|~9TYd=KamYv>~QtIKjg;n-DZhECRn2<k<}Fz5?q(1fi?Fz
zvO2?NL6)r~a2a)?ffro&<Eqovg0h?=>mvgX_(XckjwSe`S#<IfI8CacXdYHnwoLYc
z6>svM{R1nFr3*&Dn<l?w$KjcLN5N;XPM;C~5d3O0<Y5e)a9*mbAKo8-<6#sm$XRIe
z6>d0ZQ<4BjGzT(%fop#5D|rD|6*>vjz?MdQa<AdQDjuJ5*zD1g>?`<9Wdc(nOe4DH
zoeKvav#QR6M>rb1v*EGe3Dpev$*GS`h48HG+toB!VLq%WAGRSEei9GQ-wtFbgNqi|
zMPuQ}WgUjMu-SgQ+Gp_pIJ)n6uD(AG;AZwFk|;z**|JxN?3AWZeM?p(Ga(5L8b)N#
ztPt5r5oKj2dnBanl~sPP`}_0xIG;1_x#zymx#M$hO20;Q9lX*-zB>#qvY?8tg{=*I
zGw;C^K0o$#z*XWTWOv|aqZ#|!;Gv~kk3HeNKlr_uVa-1ja}ID5^>y!6_-t^XjT@X?
z&!$g*7tc>6+`Q@p(^=c;Gs0Tk^S$n{Ux8>R5B$nhSmp+-)*aHx3$yYir+dSpM%TE6
z;LlTX$BFvXIh(l-z%r_NAN}FWm9H!%U>XNC7hjlBgyVt~Y_DBB76e~n>YY@FS*t#)
z1i%h7dOtPcHZj%w2XMH7=s|rr&h7oV5ZFhAT*3@qS`XQu4Zkp(b3F}D^;2}bga>Pn
z`Uk=x=KL>-<EJ8NxAJYcXt`qJ68!w4sah~BKAS5~#FM*gZ0mk-!b9B$MEvruHYbgS
zgXTU?tiaz`igXj<<-L2um*C2pMZI*mJWBExJ>vZ-wliV5u$l3_C|Xz`(&y<LSpVR-
zl{oyldAhq27W0v&7lo;<F7|$aYr3Q^9f8*(dU+e*{47r<P55iW!@Vsqhd%GJ8LZ7g
zb)^gLdS;bm0_WUuu^WQfF3k0N!Hn_i`QtFH>46XrSgN}9^%QIsRO1i=@0>sPXP)@|
z%nDZ!tQTmwwg}hiYCa5u+edp<H(+`e=fjU+=H0DoTkws!@~jA$&E?5{i9n+N!Y>5E
ze0@QJ2jT1l)9G7q*~uMtvhepUn`ojvI?pz3rC~D~J|P#l)7Cvt5#G!^*x>|^d)mD^
z3{P_Ywz>l6@|{%Bg<pzqm)gLE?eg+kaNk~^PE*+H2jd4*_?GfLF+<odXsg;7u6eIr
zPV`@G_ori)un)N=i#l9->9zhjSiFxkQ69d%aJ}mq%&N1nDg`@UJK1>^7IrKO6oD&b
zsV=y~$4H_E1Yw3SVJlDAU<2=qgikB>Oa;L|)>AVMzzvLrKLg>`!E3U6;cI5;WiQ}l
z4tj-Mu%n1)X*B#tv8#?5wjQe4N`ze>=D9G!;twJ=<KZK$9@~_#!izqQbogAlaSl10
zL?*04q}y*heILbmQ+Z=`Ck<vy)(snm->JX#iGw?4ZR)CE?(oSEsqlJ&qDv+GB9SNe
z7VODt7D&WjX(sxG0Qg(=VM%5<|Ln$$54^qCzL$uvCr%Da6Wh~0V|s5HX1v!W;S2YP
z1{@;d<uGmj&3mvg=heO*SX1wn^KCfbrU^?aEbii6Oyn23E?e~mo)`8l@`o)XU-qQJ
zH$NU(3x=Pbdk~lm3&!fL-h~Z6ZzVo~O>%Z9KZN-OhYX1L7W0`}={_9d{=AonZ&9)}
zzE5C2cK3UC;kNy?x5MD>&k}66VEc7ZDx$ya`o`>tcoonsydxGi8A(`kgay^QkEOsT
zPTWkhhY!!S>nFkY-%3bdg3AkUg}o%wZ;%aH!?T_@9ufW7=<T&`0v{`2Z_kFcY>uTH
z!Po1U+A`q)(j787aK-6Y>;>>=k**;vn13>bH5WdXVz40vUzk-mRRn8qa%M=tX;)<|
zUK9B{J7t97{>G0l%3xEc_+df#*}n4VH*l*3$0i%xwWc*#37hi|X0X7Yx@CKb@(MW{
z2j`ZKX&4=Uy@yE8TX=eZ2If6nz+DV87QUD6g4fjet=_`%Il)8iaK7Wgb42;Pr4Aeg
zun_mNL?S<LwakZCaEg9hd?`HNoi-2$``N9JzJv3a>_T3^Gn@3oM0>4mo=M$-y|SzX
z-owS^7K6U9($nkvi26P<)~`9j$BQcdtAz)jhosrVM=P5yRl|Fu|5Tra*UgwR>*0T9
zW%j4x{oeaBYGB8|LcvGjfP0p|8eoo}<I+0tREzV^Iyg)1gt09A&nR8I1>SX*WkU+S
zkd`Ob1RqWQ94rEV_aD060q6V+kP(I{p3OUcfj@m*Fy0BD9^)$f3jaHvy}<_WN!a(g
z6P|9j388~$40KldVBQo?SsHk)&v3a1R=V5zfdoD_Zm%!`+eZdC{#(R)PVdIyA-KFp
zX>$d3%YSrh9G(&Xov{RSPCoS>gRgd^%KnBuvtPdZ1*h4Xjr@ciOLD4y!pEFxokrku
z-ET?f;YWJKyN2M5l4_D!_+p{c%dc?FQg_G}ET>fYuMPh3{%i0C%&_A2=rg=?sK1Hy
z9@dj-oC@`DtY2^AHqz5RbktSBrlozy8Idl#M!%;VuF>f-qlcBQG-MaR6YoCva>JgV
zR!MVV3#E5GTyS8}o5!i}{BpXrFzn0vbs_<_vwUu~AAZ6gaWjf=`Mp$e*u0BxZv=d0
z)h$I74%Hog^$=#ux0;ZGU6pLl+=s*88;?uCJ&Xq?{o(&4I33kstuK;lJ}}cEG6xkn
zcWI%?6;}K)l79r2uXgcpf!#_Q^EBalT^Y)2@R`Q6MLpQ>L_xt7So}ulf-bD0c0=s~
z{AKi_oG~mIHa&F?R=RLZ))3y&m*-&)CyMU&G>3&8gapjsoLi(GX0RytRDmAcoz_xu
z8ooPgd0rO|Y%DCdfD8WZ{iRBnhCJdve9d(+<{<14{q<Qe%<NYwydO^K(B_VUGac-F
z_rkm;Y`Y?0s|HzmE|{vxEhz=Q`n~%i8!RNJk(dNaJxQ6Tg;y7Te}4&AQ_sax!@nhq
zN7La<u1XOSSU;2W+8cOs^qBwV0>*Dw{nbKvOpA+g34ZwaYEC))Jp5ewJk0Y{EV~pg
zu@E`>6K1BkC{+)iYRiZpgI$;QNq&Tbf4GVD!@W7Bu1&BfLqT^BEb8ojqXBNX>vy>g
z_P<9}(gq96l`wsQ>v`+me1W4r1;y9FOi#_$zQX6-D)nk%gKdUCo$zx0!|n<=^h=~t
zKg^$0b*Bve#A2q{3-_snF%`g+YF$1fu+R0XidV3jMcAz&__$M;UOMbMOkX_?+m2N%
zrNEWVbyZ{V1?@+7UcjV9>ZHHnUz^3^(Xfu&pY5OUzjwhEkKw2?ha>Yad3oM{p|C<~
zzs58i<$nB*51e^kKX3`ANbwN&hH37R++BbJ;`A$A;3u)y>epZ=T8ICx!#iU5>Q-T@
zt7=PE;4Jz;>VL2s=Y@pJu)?qc)fOz=Eh&B;-pr3aMjnL!Cp8#-I|Cb6lIm?EedzYm
zq8@yX?CirGNY_naOwfe|l^GvUz^9`}#nfQSVVf2@*kF6TTN#!sZD^!|-|{Cdio$K}
z9E?n`SY=840r<Of13d%$<mY{{y>RhQW>a=Jv^Ktb4}2)p!-yG9JE^@$4}0G#eZmO~
zUbKj(g^y_Qg|Wdo30r0B^SGY=@>DxF{Ca@?@*g-a!J~yJuVE~ZVF<n$p3ckzYimW6
z^~2gXn(24Kr}$|v*1&&O=S=p%N0Yf2-ow%R`j2tI2Yt_LC&0BP3!y}QUwZqwSeQRy
zI)o^HvpY-38(wu=Y1$2E-z;nQfZHcYJ`wFp7hj~dfc>s*(GcmGy(DkU;RrwD9Yp!0
zBG)XH;Et#2`b7C&tM1ea@Q1Ky9in|Vcn4qe!Z}iYAw>Jm(*HWo17GGC4kY?xoZff`
zIlN21@)Iwtx%=#E5;*aic^%Oo0}2bxb931L><6g%;a1O0j~UqK*%Jz)KAQIP`?}zJ
zU(OyCfE}c+G`GX#GL1)w`WP?Pxs|~ONFD?U!oR+^>@9({3`p)0^?m;>+875XXBF4&
zhowWM-Cn@?<>zbn!O4_$PwvA-k7;*^z@a^j%E55O&HH3TeQgT+#~op@0dXBsSXNy0
zi9IZm*{dZ4e;lgFISXG5cDr{FZX|zaaT-o{6Szy1XJ~DF<0xF(Tv{gyFO`_=(Shl=
zHEM|R<YqGJ#o(^VMha>8?B$m(A~5MQU$R4R`-WU77hJzcq9X^#rphYpgw?BywWQ$X
zu^Mwqm^oVVo&s$5uKFJtT)_G94pE+NBU|RwEaFdq>_<gdxsJ(v5+0<T`#_X;Rz1$C
zoAAsj3RQU9K5ADNoGsP8Een(S=b9G6ZSSSDRNz0A8JqdA=~AznJgjH3oE8PQvWwjz
z^1sWOF^PaXb8CEv@&%hVgKiM{y?0a-`G3i;NIAm_Bi(O__F8s(8(G0MLTuaW@Hf{R
zYv<vcc|W$4;kCDa*bL!l$6e}2V9`f2@AToWAEauUFoR)%p(cEvOxj-$K5!xRj~aZ{
zWS5^V-0yego;;l2r2WAN{?%n6DGSTaioQ31?N4*R6NC9j`)QqF`WG?md*M~hVj3qn
zO35aL6V?oEGjM}duc#Vvz<A-Ep$GiE`)2hXxG%uwWCTpjUS-D)r=5+qh=L7N<_CD-
zQO{3(Y4AyRA89Ul@Eheo20SS9DvhYmv}g}+9&A41V8RPGT~FUz2tVj<l#zh<pZjpJ
z9Clp~91@3f%V;lG!hF(&rgHEP;UhmA;D)GO8Io`weZ*7~oP1fEOA)62???V9kzYuY
zOB(JiQGY!KKYC&NKnb3{dP8mzP7i%KOq55e`Bi=y?v83UBl>g4fXmTC!T5g#`=Jb?
zzj701^dw>ZT?Sl4e+H<@#Ja$ep`1JU;Dy%4I9IqfUMxfycGRz(cn<fL)%5R%yIAdi
z#=r-kwi^k;`K2}vnQ(W{=@cTr3N?#UHaxBKANv9LXx=}W_wcg;7PftG&kxtbAK`_Y
z0)M1nl5o4q4)~;_zrjJ+JN#f(7n~3rR7GshT^<3=F_?F$gN69Lc-oBCILw&ReV6E;
z(!^fsP59cZXaLba+!1-Sf8jwbv1OuvBvQlMSVQptfwFUpGVoCf*A900L*ePmD)6z(
zT76RR8Oe+EM0z-<#DEO!J#yAp8D`-kP0@!ZG8BA>{vuIWOErMaw+_w{`6&+N<=Dd6
zN)3@jeww7hS9UPJZUq&Q&iBN{)gRWh)S)D{=dF{!TL3)9AmgD5i-{j!e*(AuXlqn}
z7oXa0K7(sS-l`DC$MgY3zht=4RsRW5-XO=RJE<_Oku;eOtd^@@n+;#RvzVg=(*y;5
z%7as1y?<;DkBYj|l)#gxZYi3<wVZKuW$=$|>zp%i^7wtDYS^G+=gCv>iJPS+AK<Dd
z8}-ETEoYzc^fQr8nd@u`zl-e&Z-ft9g?;}IrmjytGXkHVx<7mY)*H7yH3aKfW;<HI
zPQOfJ#$iVRBhC|W^$7d(G1zk5G2H-W(_ZWO1<R8&nh^29lclozC%j)-Vo(F#>WJZ*
zhl@j+gNX6$(8J3<4WE!;N+rfi2kYv|C3rGF+mIOF7u0>s=HP|xX<Kgi&7wj0D*UJ@
zh?O{giyzuNn1$6`s0~(UF#cx*npfZ(@+r$p@WPp*PYW<x+9>lF+$ZZqvko7R^Qstu
zt8*L3i2A<ReY^Y#PT1|Oy#ZU@b7HK6XI*oY7h(6<N!?Vq^r`V}B7f{B-}xlCVDPsm
zQJ?W>IsFs3^JZ|x7JNs;q$CuctNc?$w0Gr6hV@PO(qzcWU)Yybnf3<E!%H&v2X0b$
z^5!)BcQ8nD8%`e(xL^V6Qc#K#_0{#bQ>(&-r|;O4+(&r{G=)m=LiWL{M14UF8ec?U
zYOj<`a-@IR(e5D(TQ8cV5#<H&Qbp{9rIf11cOZT2Sd=O|{Ibt}lngGRYd%8`Ys9tV
z5n9ZL_GidR;oeJkc!}ThehuTBpT_z<aoCChF1yOzFaw7ulv>ikV~6EVjl+!{%!#b<
zRmOKDW3c6s$v9@%Riiho4|Z2k8RCS8&RQw-z?TDA1~_0m^k3f!pBk{)vj-M5`ggqr
zPTrK;y&GQC;{Nv$4pI4@q6@22O|F)}=e+sS_24D9I@@a4BKOjS39P+eg0%{MeP7^*
z5!{w;mh=XGOJ*v11AbpDF_#Hnh))o|2{(sO+q{NDMDlJ#!@M#<`RTCv8ok>KSh4xc
zzC3vFxQ}lad_Z>9E*7pQU-s{Y_t$+GNQGZz<kxS&7V$?#qhZ^Jha0xwze@~pNpM}<
z-VXT(I3MfV^CJ}Ay!fF@0ggW~a54%Oj_KvlfWH+r{|krD&&si>!4@Z(LLb5b9`@bl
z@ZFl0;6OON|9z(!+?mF@(+5^&?>=b_58v#*>H*K&3!7hnpJno_I>B`z;t~JBm$%mw
z9N_0=K2I;f6p<PSFT>VLx7cpLI(rv=t>C_$pP8LuT`DDpQ*gU%jhP2ruFP0+0(O^V
zFmZ#k11+=-;U|u(ZFgbqrj^K}aEH?C&U>(JY7UhtT*IaQq6}Uk9Zpk+6X~6wm%tJw
z5;BM3a7v|Jb@0EHM}g9??aY;(wQ$zv5UVKsNmMYp9lqiuad|(SzQZW86~0#&u*d^j
zaK4P5hFSjGj9`O{c<Up7!P(Ph0(5Z2mB{V|IKF4Hi5h;aThuuR3)iTfC4ryK+-Cm+
zXD+sr{rio0oBo1j1?E!|dAb7cUl9x^e~9bJw{^eI!{y1UPe@@k?nLLG@Ljn|7G}8o
zQT~T9_*!=>BO}ani^jAce($&1CIEZ8-q-Jf`z0y9?1M*B#=kYezpaZIMPNLC?B4*V
z{`x>C3|lo-GJb&f814#{gZX;Wt=_^X8}~hsfu}0SXNzE4X9qehSax$nEgwEO=1i>t
z`%7rFWWbhn<FuCWh<%4sJUsV(n!yS-^142f4hwHowBCe!zPk1%!0-K=JKW)~K@0{j
z;r@Q%ui<cdl+-kl-#1^kClU_YthXe}uPVKMCJh!9(9BDQPcTQF&w%&r?&8aaIR{1K
zU%?F3w4aIclDbbO<-=Kuaf$`7N8|625?Juam(f@7pUb;{l)=|DE|{0V1Ac{q?_t~g
zhnvLqo~fJ=u7S-ZxE+c9(EICa+W>zfKf+M~tGO;ZwZIy;&aXAXO7Fw+yWr?LzogG_
z<wi?kH_TQ=%i0c?I@vD`!jldn6<=UK1(m;JFo*O<Mq>Zoj~!9{4gb43P%;j)>3VC=
z!QbMhVpie3Z}{)6!guwyG?!r}8n=)&IE(jA(H6{{z}v75*GW7+w*gxm{nASQ2-kzm
zBh`rUd1CSwGaYQu7e7Ia&m!esHU_v~nC~<T97h&%f*odM7a(DR53Ws}+6hbiNO9qW
z|BlB*?}6LpQg(5`AALyT_+ZzNy$|=mrgs@H$iaVeDevxtZSVTo9EKB8{FixQ&Bs9k
zMzHRx<}^`W+8U{_3EUM{Zn+nBp&^^P3@5XkI=Ktx9tfVk0<#%4)$fA?7X0&kV7hJX
zcigbUL6$;aSZ}acLIBoZDqFk<3wQc|Bg(toX0#d%x5&)viNMO!@g7mIySi7jAY5Xs
zbSoOplAfSB2tP{uUYQ6x>!rOW;=$R>yVc1s)jK8u8TgCfL6R(3P_dy=5?*ZRAkTq!
zO3A1w!v7p@YZt=7EI-HO;atx<CS@?sH$DX-K55a)JgJ5SRKE-x!R(<i&uifzmzbIh
zu!4w5Pb0iysAYE^Zn{=8`~|*dM`Pp&do%m&?S@q=bC>PlX~r$#KKSj2>)&p{g73?1
zN8z8r41Qkl3w1w-G5D#j<NO`?1gF}oU+_Pd9npSp+s>{xvoOn*8t*4C{d&~O3f#QI
zf<Fv?Q=<5H9qt%opiG1vQ%TfFL$SVJkIjvPi@hG`Q^C|<GD(Q}a{0vR2aNFfYm%8o
z@T}?KFlKmQJ$Tn!IR5yKR!;cB2JMG(SY>{yV;9W9U?W`vw+DorH~_~TJbQ<jU-xIY
zo)(3}J6<i;!5{esxiw&BY09a0aBFS{uNJJ}b@J>d7!T0=xCv|2%*_z(G5@16asyVR
z%kUxQSMU3kHh18^M|GOA;43AsEdAg^V_RpE;RWCS5`y4s3r9(b?Jc-x@gflZJiGlk
z3J%Yu>3<08YUv%0fJH*ryYItY$t3l}{AtIU$@vtHQPOq15BD}lu|0-QZvETzhi?~X
zoQQ%i_Gza2!cE$TOe0{ue;ZQn@YkTuC$VtSKIL9lm};f^Q4C!2a`~z~d@ItrB?&&u
zEX{Ncju<p(NPuJ3e#cwGo&%FK8E|NZkPb1Py#KXRron6TBb_JV&U4pvb6|}hT(`{O
zx>Lusvf!^zI%y2xNVf5S0@$^I`n4Xs`*w+UE=+yK_X{z9rWI*c7QqakUc1S`D*HrB
zU&D;q4iv=kbF8G`PZ?})8J|NOKSO_?FO|U0Qcf%J!)^<^WZ%K2u|cDJFbx}t<XbpV
zOUs#v2Z#Q<?OY32`8#qF@uklCqQeJR;(<s8J$##`Kld|S$Z*_<7Ur3Jmst<%c`*)<
z!uG4uQ!TKRmh9ba#6Qjqj`1e=H`4;kADEQ=-u_NljhDTgh@Wrcuk34wcN@1KorZPo
z+HHE^zT}13DR}3X*OuLIzfAt^QTWI@XTl&%(b6n942vKB6Vne1e|S*T4U>L2-S-{-
zn3#T+n1Ac?c6JQG=icq}tc44ToLMJepAIEHV!nNR$%OF-ytK9UstlI+lxF-J4zXZ5
zNz6wwW&y{h;N4>_W5j$F%GUW{9u^H4eUJlJc;pAo!b8qUyHery=*{{S*#6|}_erq$
zx9*xHSRupNBpRkV#Y?^kA8GSljf6XOx;9o}q0GN*_uv%`cIAI?4Ha!=0PL_ZE58MQ
z3v1B#hAj<5J;=ilpJY1cJz$1za#vEAe^0pIb+|K3sfZeGrg|ad2!B{&&EEmDn4c}a
z3|rCZ%rU^acQ2g32!|cx`Ar9>N%H+Z1Jiua7h{8MGWI?@1^e~!3A4cc#iM&o;DLO-
zt6Z>%%g84~I5u_9rJZo;_hbugc<7sE>K-_9EdH-1Je|&wxEod}wR)roKV~%N6NPhQ
zjQeEa@J{~S2jJV)EZ4;0ee;R2<}f$?qvO2rUcb@Alkg{<+FBuavEzt!I^4X|ah4ut
z@&A4<74|)(ahn3Ja;rc09)9Ms#ku(l@x=VxsdsRHWk<#$tj3}Gt(o|JHP7-4O!~W}
zqY-92zZ@_Q`^}~t?}Zbiq}oQ{;YtbPZ?OA4TB{y7igc}I9H#lBl-mg>*ZVh&!NLk0
z%1!VaH_rR(aHd?{p^vbwNlf4$ShGC2suKPZuT8PzG3Gbz*R-YZ@#{6)<nT%E$1!>E
z#<sN|EBtQY=|mQMp`p*48D5}paZ83J^eW0_VHMA}#gTA?wQ#XC{9kRNb|@@BmLjVO
zZ>`>V8UjbN(n+ero)M?^`omWY4$hr`8;ftTdBH3$kAEG9`y(%=IK$`6W3p`Fg@?A0
z*9eC#r(J=g^UMTo;9cAkmwe!CFGbF?@FP1VD{pvyNHD_;K9TG(6avpJ<t-Y*Lcc!s
z2EosAV()0f@5#cV<KPUw<2O}dMVoKoFW{M7n&fiuw3TgVGOQKsktGdh#T0x=gp<au
zD2T!?&p#RE!5&GCf&1aI20Hy*Sk9!9Z4W$5v-5KWETGM5%>~!UTGW=oYC05iOt5jO
zxz;Dx^oFrA9o*aZShWuBtkY~HgTEyDzwLx~i}~&RH-+`z+p^Mjn55k`eFbhw5c|^u
zcPxh*EWx*;E-rS%4O;<yzhIB^sxISjuTY-Q1iWJC>@Wt)-$^STgq0<Ga(=-#gNx7g
z!-uwLUjBq9j^zI8fE&~tC+6U5Pb!|Y!3q=cqciYK-fO<kFr&j6>n+$zw9dX3wx<s|
zw*lM4R&7+kU%O=csGnfGntaqPfhC<RzwUtRSl@kp1<QJEn{&V(+ok)m;5a%#6E;|c
zqo^PW{&|s<K?GJaewq>kFVgW*3&VvOVNy?F(!FUxa_~UG)!UC?m71zMGI061EA)Zz
zu9w%<^<hIzwtqgbsC9tSQF!qXd+1F#Zg%(Dd3g79imxM__)d7~EF8j<!SElv^r&sl
z12%X(oOTW_c-ryH4W3#YmobOum&_-h!L=bj8};EA2MxbJfs^?b&uGFyI%Ru`;o^j=
zQF1U{M=DnleDsXl{)6zj;=X4?uwMQFDn9sIVM*u!%<iikwG)=mE2jGm7koQ6$^ySo
z58W{ZZ?9c<rh$Vw{R02MrjPDcQoys+=6)+MKS|87t)CcQYzI{6o??AmyhnKjPUBgT
zr-6s<<r=494u=spX4vUP!S!Eol3A`ZBWzam`QIq)vfwex1G6m`>kq>F+tsJIVLz+Z
zo-SDOs%o+kT(OvR;UmoWZ86pW7P$0&rV<``6u#>$T;+aUp%fPQqs@LAexvy0Qy%Qo
zCSvRZ=iQ|xONAXDf6?=X8|@^XzJNF8B|fCXR{H{+AHmcDb(N{G>Ym)~yYNl3fRguc
zm7`vSH=J0(@cJEW8Sf@=0}k>|&FP2F?(8qMg}1r)XY|6gUUWyT;RLr0n>qN|f{gqb
z__&1I`59O_`bwQCoPy7Rb3McLZT+*UT5x>9u`fH}d5UM!O0doEA3K!cv1(!aLvYUZ
zBczJ(;iO9&`(e?HR7FcT+doB`8~$<MT-^%ZIb)N`4_{CgQuKk@@I|>@@b;xKHD6e*
zU*+XKnEdVGjc}OkrhO!lf8pr%b|ie~kiZTBcvF7ZCk@WHbk~Fz&e6^b$bbd%6y6KL
z{^jecZ{aU*MDzGyPtndJ@8Ek01H1=d8}V2879hss4R%|iJRZKV`Y-VG@7f+Q*y++H
zMK?Tl<;-mn*l~4)wg=vCLp3V}ds>?455ses(a$8{+9!%8qj1|>ZE^+p4tG}QPxwFb
z_Lp+-uG#0|zu+JLZgHu>_g_$VEWlbh<W<VBE92I;CHS=PtApBb=%C}yP57>&WQQi)
zyzn2-UsyuEN9!2;WUS{bML4cc<XKD}g+-&kTJM0Z#QvTl_TS@N{X_<sjmBfk2o5GS
zNN0k_cknn`z&Qmn{Jij$A7mwFaA2^?fxYm8OS;fmSdstr6=Ar{g|+Dv>=pCQK?H8~
zD^e!L&#sf1Q-@*aWdFc(u)1;8oFXi%&bM+2-g{m8kS0uP;}>HC7f~C^9)ZpLcxdg2
z{Dw6*j=>{4JoB!?{C*^U#&BhE-eXTVu-?1sBrH-$A?ps4SSQw=g3GlM(tP2e25vGd
zxHoN1&j;=$*QU0C$BTo@1L1>D-s{@JWw*O51K?M7vxauCER+402k;@9pADXH3*KNF
z1Q-0br_CGg8GRTW29Gy#7~O{#=&0N7!**H6%^$*kZ(}r`!3tmX+hX9IR+RTc;TpNH
z?pRnbF=9Ouc4MUFNQG@kKgNf{;Y{Yc)8UQ}W{h$0ZC!)tB3L#v)#5pv(GZ(Z40Eg<
z`jiNN73Laz3(NbM*~h~#3>?Sa!48J~{ps+j&@0w0@Dq17!DRTLOzo9cSgiX+L>64M
zQzN|_7WOGncnOPJCg=3P9Ovb;^5N-=e7}a_qN_)ZUcvVB)2m~!dyL7UcX0c<liY72
zeb>1TBA$sI)z_MXV-8srHN)~JTK!jH4}t$qHNp>VN<uea&)xqi^utlLpJ{0#aQ{*J
zqJKBMJ6D^94sHz@o*#k}_`aC1!k6>DMGU|{GmS0S;gB2Vl;iMM_KThT@PEVdMkDaq
zy}x<|;Y#U(s-N&%uA5xq@U~a1%>>L)N5Xdqer&|nF$+g2am1;>HGc<o{ell%%Sus$
zeXNf^ScJ7FWJYyhy9UWa^Kfo)^W;(Zcy3z48vNzNX(1E%v$wC-D$G>3B5nrv4$c?;
zgQbH4>`%iTEcF(|d}H!l@Wxq~aYg<UF(2(tP@A)blYF}vNr?GM>gS3b{Ci%@j~bq@
zeel{Jc3XL3M+$RPs+9%6xs+Rd#QY{D-{%?)n`sHvlfl$aqrG3i*7KqAbg<ITmwz(h
zWtHEzcfi(lj{maZKVGJ@jBtbrNyU4ZRzR(n3cmWJ?R^d0{5Mgb8P42mvE2Yi9#xrP
zfSt+2b~M9QDRGv>{EP3j-0g$?Pkl}!=HCTcwg&?+pQaE8H%!kL^LY$*&n+(Fgark?
zTgTy@J6T2c!i#4}8E4?ZiMZxHFdfMx`yA}u_D4ksJ~_AY^e_A<oFs4`+{`%^y$w&(
zomm!vNt)(47$XtSkD4j(hrhaw^Dx7j#xHY-^~2Zcg&1BqlJxQ70ho?^Hfb+>?fLhM
zQg9&S?OttoiD5LH$lvCDqeBZmd+3<}(Vm))!O+vN_L*1)Vtbj-H3wP1(eI4oiT-%R
zsa|IZkG@aRAo|<hSNz>MI40yo8?irL1kk#M!RD`|j}qf)x3-k`6C&NvvvdRIQadY`
z0oQucB`?8q7ayu*!m`CiEW~(ew=pg+fy<L)PyK;=sDs~^!LbhgpSIzr4L|=?!|6+#
zc7Ndv7NH$Au#TEiKPBpqS_;u_fJ;R!e97UefkuNSm}TYJEYaTK;X@BP;A!3Lr^I;L
zW9Rm?3nqCwPRa^9g!Q%d!)khKX-x3P^8MciVJcQ>4lY=A`yt0ToN-8_i~}xi>gSn+
zg*-hE@WL}anK3KySVyqaF4$iFOy)Wqvb1O{3hNBlOpruje$!Z55Qe25@0}%sKT!)`
zl!W=uJQSyeyDRu955a2LGcxorCHYA=c~~p*%ndf!iQAA%7Je4|-irg){O%K?0;h!^
zEaQQ<FI*Q>g2jbns(Im?840mku>J|EfBWIUkVk47F#UZG$^&q;NkyI>EdAe!0C|{K
z?*8%-*n+3|z5;CZ;LT-2!c9t_)#3KgNUCFSl|X5$CY+A<VIGG|mxLJg;mb|2+@|o=
znU@>}a0}nZ2dCi^LtH10!@V=H2Q6SzuY_|a;EoS9@fYCU0so$hu!`S*V`tza8w?|t
z;bWus%`d{;4t~52aAw<yRVz4Lj77)^Rxk9pVhht$-@WVx5ART;xdQX?aXWaxTUV{T
zoZu0sq5mRafzzfG#Ckq~Ex<7fR=(_b(-BVY*y`Sd;|~p;Cbl<hSh95;Rz3aYC($3)
z@;wJ)p5yx0rq2K|KA!rFNyfqh44#I>_(-6O6)A)3{C9sP;*D!$kyHh&rpl^A!~>hC
zy@_Pecz#YMIffX|{yM*-NZ{VdA`xP|9~rf#6Ne`=tyYM5Zp^?#E(!~KdE6u7z330+
zO<j2N`#SwMIMsM&Q5zQj%^v>+o+6!<G=v$<X4HuJ=(%CSfn)I3O6t~HxG_H>?KEuf
zT)<ili*9JdS-?*vT2e}2ofuKB|6mS5+lkk(?N|rXB{=DDkUKGdy1vVQ=mPI|V6RAn
zuTr15dmU!&k~v1q-zE2HRPVu=_nak&`JQ_zL-sD*DD$kESg%XH4ZiUJt|&idL##KJ
zC<X08V5dfhg*$N9L6XeJutf}ixF5WJDmF0`PN3Hj@PM<1ZVX1iw*}We-h^eR=)XRL
zPi%0Xbbzlf6__T&N^G9d#QKT$pRQga?5P@ezzUAJ!xoeQ-&NCXJP&6$WZq7L4V&!F
zo`4IS<<|@0n3Cdn6ZreNPxA%vm*@QliS?w-K**som_5L!l~|9mXL1RZz}<BzRw^(<
z#*^faaN*tll*90r3r|c9Jh+=&hFA|D$PH$1hYh(U+(qF_o=o(uaQ}|eJBaoFc6haZ
zH~i6i>LnliMMGD!3;y1~s=x{Fa*KWY9Ttfdzr_lhK1s<Lf+vsPi6w>GKWk5o!vZO^
zs@sz|-{<^1G6qj@$+fJ)YkB|i{)Ugdu5?<4j|@$6Ou>&IO#J%|H+1=%&%>+^c1crk
z)elmGS@`G6NXb#yP$?>8h4_63u3N%Z1J6Ac;4MGL#TIy=K(KfXemOoJ-ULhfN`({U
zk(oa4%7X8(yl(pgU+voI{u1_g)h;FSmq&*Sg~3DV<;z6=zxu47AHrutMmmW6?;_t&
z+ri(x^q7hClK*6~ufoDV{buLjlXu&G>A<uxePTrUq&G|+9fAFy2mPFYh0eJ%kie!P
zpYe}a<d;~_`#XW_19X@6Ov4dgJnAd3(T2dt5BP9Vbo?K<NXo3F4>q7wal)rBH9V_%
zy*gp{!Tjb{Snh<Nbql;<M18vio_)W@Uk{(ibn7pJTQYOFiSbav`qaJvZk4?=_!e&H
zSZ^qV_b|QsNQ|HO5gqRsn9cisa6UZ8pV<=&|Ebt#kxJN2Oz|45md3Cv4tDr2@VPxK
zM(a%y1s7yj9z715cR19B!O=X787JUun&y-sxLVS1LK+ULX&EMtr-*xhgC$|__C2M<
z@kyq3<n#{M*`8^cI6kXWR@TX3_QI&n0C;M*u+sN&T#sY8#Z06RB=q(V!|uAGYefEg
zuQngn!#Y|Nat~oD%U1_K!u}EI>_mD%akpa%oMU#wjL0v0H-sq(UK0_NBFev=n``0=
zzs?+UyboW9zOZl$p8ryKlE^=r?VfxQ9-F=TjL2_LD}2NnE>uwS4usDosV?cl|JHw&
z5cQjm&qQd$Cl0n{1jBTXH{Zy>_pZB+5&bjEm~9~izo|anM8qFjiK-o3uuJN1swc2_
zzg;E=EMPUdP4w4UMi&JJ*eKOaB@*VN;OV1<UE{39pTe^V2R7D!;Q2M18QW+$tF=A$
z4;*{8!<2|m+GoZLhTxPBCqiT3$0ZME`eE8?o!dlt1Gl3Xn&6`^-<K2nmw%^f{%82*
zL}3<D9_8Jmt);N2sn7%w&$KP3or~e1_Fdhv@LSu}Cuy+d+k333@Va}9bPD|Jj>iU3
z-k8kG?;(U4d*##M5-0t@AXq4(LnsNp{>m)P4NgiCzw{E;7Fg7Ah4(oL8xZl-i~sM+
z8Tb#cM{p)Q@iFfCDYzoj-GeBvS|YVn7Z&e-SCj+GGH9OBh8J&q3MbmLbN*NiKip$W
z)|L&I{{E@77ZwSZPD+5?UrfK48N>D9u(Jc{u=VptD!<{zL(ksE!>8hdeHvi?+1xdv
zz6)i-yr1BCmX#i2`y4~}Tu6s6Mv`$5>EZQN+bMA04XwXK{#vf0{QL0T7#&5T{9C@q
z&4S^`m`D4F{*-*7L+S*FU%F>W%nx4TKT_=BcNL{ZDKK4jU(H#Vkt*wc7JSLW<ML^k
zD`~)sC{O5xW8hJ^!KuDD7k->VEu;gJo#IL$%2W4P`zi*TH2mp(1*_yf^ALf5{3q2&
zlxMvW^qdPWIZLzSHSA``r??ZAR@7c4$}6>GJ3|Ra6|hUcfxlB{Z;-+3ZKnJMuyS%d
z_u_Y4|7_ZIp%nHBmVP@2n;bl4Tm(;l+&?e`Q)P2KsDKS8%5D$99Sd=G#C&J$7*|yR
zPs^BPl*5g=5>{n!yV$!hB7g4@PNqb7AFFL6k$*lvs~`?eaDN<5w2!{@Qj!gvl(Bw_
z=#P|w#($S!N6uIcqJNv*lk<+jZUXd_#CSfuOv+#cmz(MRCB}c}{>3<LIN7HHkCY?+
z(-?2+!Uyy>%OAnH6)F$a;MHeNzW3nglo3-J@Y}yd?nHbzFL%dF0lv!=yL}U$ndg^R
zg}MGr{<#64&10ySg?&G@_+N(mCldk`;Sn)@uZ!@ubTF$FtY#jmdJay!*x)P!cb=S;
zI|Gl47m$d-Yy4l|9fK!d3s*_NCsX7~_25|=dLv<2P%rD2CTwP<nIi&!&~kH7g;jlb
zG;zW56VsCNFtfhA$Zput=Cp_`yw1c~&I;QM4_;P=1LS|6Wrppg`HkfWlRcpQGm7g+
zC*$v{z=kK!<}SnfEVKbiF!Ki`m1%fB(!YwR-_eqKXbNVLnJ!i*(#576N8!9(7Z!Bk
zZRR&j!*KKS&r{lPutsEJH+*SCZoeT+?`)~r1@m8^-AQbpHThnfT3A`s*~|p)bDSXi
z0KdFiq@)iw{0b?23ICC|*e2>fl3UH34X^DN8C8TWtqz-pz%TN@rc1*gi>~B7fD0(i
z{SUxdBssUO;l&5FG~DnZofXCZ;3t2L$hhEXk>-Z;u!L6CLmHTDhBC+o-jp;6q=E~q
z`Z&(OuUV<|iS_iQu6fsUuzF%VUND36(fV3)b2xOAp=k~#>mI8<1+%hAJQ;>71W&86
z!~YFgH%-8`-ew~#@bif`Z@<Ha-M_X;;63$JG7GT2Y4?$>5j;Pbn<qw;cY-FZa|zx^
z=(w^9v#Lb8Ex_VeJgt`DVT((YQ!trX@mDgm@B2#?{U7jR>P9`$KAPn|+fKq&%w#)|
z9zp(*wjCxtP_#h~=Nt)t@frSX)8)(xTN|Grs)ZHa9QI^~KZ`vyZibVyoG(kkJxMcP
zYhVr8QF|G<NQ6tb3AQ^#wujhX!!4d-AK_Kj+kyu0*`>r-B7f6N)K_cRVtBy64lZ<J
z`*Hz(A6mv-1@jbe&|HC)L|h6hU}@H;q{Q*$sA!~BNTip9so29QyyQRfVd|~GgI8e+
z*Glq4_=MmsTPN5c{CavEEJ3|$?Ew3KGmwjbA71#@?G4jX<aj=YLv)N=Jz?Y65b9te
z|95^JVm?1l-)|5A-)oNi|M^DoYI(mGY)Pg*`vU3Xbn)+Rz@J!hCWv^GuH<WK2OnNi
zex3(gY8;Wf1g{AvKPKYWgCe22v+$ocyEJOxt*n+TbNC>Wr^0(U)}~0&0Di8|l=lTr
zT6^oG3!A*WmeCAbk*CqC!Ab{~clX0)!$~HJaKQaz?7gs<>iuC!c)|4Z{YjYbf)~Fy
z+*8aQFb?lxx>P6tXXR*0Z^D$X3Zr=7OY)(j>#%Q1f)G1g_E57<EC%<JZpuC(hu^c%
zwj6}7j%$+8!}g-5wN&7W!vk7WaERD}V`}gY`N={ixRBJX+7M=>c3Gi?$8Q^cGKPD@
zz5Zi^ud_s}Si+Ixi!T}B3Th8+E4b_58Yd_Gn|Y7l6<9@CqMT^Y$Mx|rJGiC)aLj&q
z^6%pY7kDAmR*Bdi|2eOASNI5reYP0f!m^+K7X0+ka|03h(i}ODAFP}cEv5v=F%($@
z!KzBt&4=OC^_Ley;Bbj|DjM)#xzjO^;qv_>gR1b&YP000@I=g@5wSmh?IItDhNb>&
z%pQTeG)RBEfW?2UUND3&l^5}*z_EEuB*)<T+a*G2u<c%2=i~5Ib~~FKc-?@P#S|WV
z?(LEf--u^gu!c{HO6QiqacaEJF2F8R>Tk;6qr4nsSK;NDwb^R;kq}?%Wq6yFZ@U(*
zFsHfe2Afs)D>f17?F@ph@G-At%@&xRk2K;I9Dk(Hrwd*qCzT_{vuJE<U^gt;wwQJY
z_PHBYJqRD<nbq-wV-9w;j>7i*U-mzN^H`qKPQhbiwe_L!(aY7Wzu}=hh4N9b*_FFS
zi|}RL)NkSNV~c{5%P{Nq<D<m!7~<~sWD`yc^Z6MAJ5#)j{tJ`WUp<`ypVV^fq<Dez
zmA5AA#PR&gF|~gOoPR^{S|(i5V7C+R{CscR#zUI{|9zIu%M4RfQhMjXPW7@8yzuJ8
zyUHwBj?N=)FI<_KCPu^$x#JCn^02S^9>yG)=ccc=EF61WDS@b8_`p`V7QB+(Ivfv&
z7{7Y00VlA`UXO&+1-fi3V8%eX<6&@*v+tP`@PvfL_j@q?%p)2**dfyIqc1FBBS~rt
z`vj$&aEINm>2)W=7wB8gT!O8?R}Q7Z-JvNB_OJ@ys(B$SQCm+->~C8(m-BDn8|^XP
z*WvbwBlL~%?{TT~ws40`1A8+p^O&^R8Qu`TY|;sTK6%H%3C`o3J@pk1xNR~()USK!
z!LtFFH>c6(Cak`lnK}Z;U%hmmXn!}e{?H`sP20Og#6Lp{hP4^^*sjBd#QwWETO_>#
zN2_N{6Z>y7sM~TIUcDHyn~3*I6c3_z#NvB!B6F1=;C#BlEL!;1Klj)UI3qCP2Mb)P
z*rVJA)6$=#;)czw1~-WLOh=hVYadK0emHgxX5V9YUKqY_c;go}=Eqe*_UDIS=eW8D
zJ7D#(=b6&*e3q&mC(JW(X-pCBb$Uq40XwKy|5b-SxR;$d1TS$vQ#cBLez(0Y22XWL
zA2WcxuQ>Ipz*n<r?j4661q!^B;5&Ouqby*uOztxV@bbdbc1yUo*J51{HrsDFW&`Uf
zSM?C<gOUYN-fJ-V_a#qa{&)SpAmIqB?X@^<3xCS$vbza?RSsSw)*s19Rj%%^&Qp0?
zCs_1ea^7t?itQ4$1FX&cxYQ5Um}K_62@6@CIv55suv(T~hey<ps6T^Qw2Gel!&A3J
zy<_0Wwf4ilaNqC!cVppR-CHk%U<w_^cPTK(<;bIfumC@ETL!$x@rO_(VfQWCJeYHP
zt^OIDyUi~22Cnq`$&m}Ih*R5C!Y&c3#aZyn9m1~F@VLB6WCcunh&Qhu)_JcjS4QNo
z*MHv#YpMsaH^3u5wKv;gebxJK>fy`uaXWk9mrj?-M_>`E1hZjSZ_YY(5Kei(;5ZH!
zDa$Ud!dsR*GpFHUHPL6p`c#*xwRss{$P6{ziS;a1%qZ0s9IoOs&jyQ8a<cq`Pgb#7
z^T0oIL=7q9a6hqhYkL=*Uvl{*6>MDc^g2KMpSRZ&MwpV*gK00!7q*td3U~X*&q~5E
zhAcz7U^0u_VTWM3?D2Iz_}HYx;8FO9CZ(J(+@wZxTL-SSJFX@IZ&O826Xzq9yslo7
zgzFq08Ngc;9|NS}!wegn=5T-MM3o|3DAgEi2KVSjwyDC0#7Dg^!cMG}bUH9)T@JT3
zT$t4@Yyj_;IC{+s{%S;i={U@PjE=?wUbkd;b{^hEmL;D|<d4#Axdbm(T<%VQ%N;~U
zuEIAP?TYi^@x&{;ufzBL>^=Dk)|Iz7<O(y4@you01us9p<_((%c6L_6WfkE*zVH`=
z_QGcP=vYtbJy^rW=XfJ5x-r^#A1<J9m+FVF?GfAY6xI#f-QENH94KZAhkr#zX^axK
z-9GjL{(A552ys4{#u|1a4mPKIZ88a4UGIII3O}|nn)?A)ghl6O!7Y_Vs{de$kH01h
z;IVN1!A<zvS%J+raCE)QTY8+&);{o(e+!qfemqADJAQws{~ngvm#ws$INzn;b?*~=
zdQ`TLIA2av_z>0r+w*4V?}PjNcpBT_4sG!%UU<ISW3UU37p40w0l(w=#x($Me|&iL
zAiO52E<OUg2VK!sgYo^otCMhj#OSy(+^NfX>o+_mRrb*k{(RfFWD(|lbMW#pm?xyR
za}7T7)VA;v9Q#~~i6kEH6Oa66W&^)<ujQwJZ#1My-hdnY<u1^{yEGZwuETEg<hBej
z6^pC7C(Od>k;)E#o&7fC1{bgLmU6-SH{z>;;2zGXMLzh0!Qb<N@VDUWTl?U>!55kz
z!TxoVhehBKwQ~Ch@N{~*!9kd6pXaeym}6*Puq+&8*fJFj-}9e-p#ZbchJ4O~#fu!e
z)nVhTZ&zQ!d4Z=!G~suuGT-vymd>8t`Y;<_X!{Dj<xwtS1Z#bhI{6M}`JiTh0@gG2
zSgwS%!)4tpU{cf8OCMqV^@;*Zc((*Ic@6B7@cN?-+!6D3v;&_1r%ZAU4xRqv-v%dM
zQD=9A{iTzvMq&RCEhabNzO}FahT!&<t~2higV_P6Ntn&?a^!8e_4XNtarj;L?W{X6
z*NctcEAW4MEaM?Cqmt0WCAj{!z}y44?(fZwO~Q0#qR-$;^0=6FxX5EtEeh6JmGh*<
z^(tl(fA4s>=K3j4YIy0;+puK#j4ECz1?Rp#-IxiV7Nv>Y34hY}>B@$)b&pf<!A(DR
zF&Dy#G1pRg;QzQC1WVwfs%v)+!c|2K)>ZIpa@u`jaBQZ-%@6SLfQW5n_=pN?!Dm?P
zZBl|F>~;8PMI*c-`GY|VzA!nn(hirm{mxY<(gTD^y5P;4gFJe0lyR$aKm6*mWTg)5
z5oBaK40CY3j<JCI4c8w|zyeS66i&cdQ>sxvVeQ%Jm*-)X=3nh|@Zpwm-Lo(WjqJbz
z-1w5e<Rbi@>O1E;oH)Jnq&0l&hXns7{6hQqM_c&f_K+o60?sezG%sC&cl$`$Qo!XO
zZ*@4q`-?_X>0slpS6m$6p;m=F2AKUo;>b;yO5oQNJNzKwp5G0)Zdhk|CtU3GcGjCn
zH(8V5g((aYLOtQuoYP8s;n3*LEq_?(Ful7l{HCuU))(HAaq$;{U!?z_4TdlG?|&-^
zM;ldT1;WQXAJ<F6J&|)<q40ZU9Wo_2JGHj-0bJ=>M6Uv?Ut1OmhZRrT=^cS525Re`
zz(#U|$93Q@d`q%1aI0iwm?5mYUey@|ljYIJ7{mVMzqJzKfV#S_lkms2*Q0T8_jk?V
zQ?Q}@kZC$x7W~HI3jDptGAs#J7f`UVg&C8B|7OBb1q*T4;d2z4aT&1QwAV`)xIzCK
zT|WFMQg+M}9%JRr&V?OZKFoN-kzciU5!aJn$ln$TfL$q8N(<q!`DC>qSbJG5surd!
zu<;Is4@XVOet<p0)&n2IX0`Nb4Y2pMiuX}4WmBQnCs^#KMN>3<#;xmhD@-%YMU@0M
ze0MW#fw%sav!uW$X``yY!iCJYjk4f?LFo&f@N_Hx=^R)+z^sM1UVii6M0g=ATsdXm
z3$I%~O?U(E9Nf`A3Y%tH^i{%dZoTjthWRro$E)BD?vkIAur_1!-a1%_PbYXBw$Jku
z`vf~HTdmH($0d(m{Q`TYPeuHOTb;LE+TaN_GKyu`gYomLZ*U4@NXi0iG8b6Z3oGqU
zWZ8f}C+?K|3H$$yH(r5hw)>QR!7ld;tNz06ENSiw@TQO0`Ayi3#qrJ(OdG4#M2`Cj
zRJq%0q=~qGnJz%Rjr853ZR8ZNfw8Oy71EVFY;Li_4qvI?kiqX=6@%DeW@=6WI{0R5
zn4&1$@$~RNqP*(|T(rgE@8`4}>0uSU>OY!9ei3y&N;u<h4w*LG^FX(hxW6GYx>$S$
zmW|_kwgaYKntFc@{uLoW$^>u4h}?961%LJQ6YY_w7V~q3cY608V}=!OT#~*IOS0MT
zr-3_EuB$$T4U}vnSm48ZCf~%sO?<^|M0?b)Y*fd>b8Y$R#Ql~7@glCT;Zr{;xEbLG
zT1S10;QNwWAv@v4A_2!XxV}K1lxXk$aASN>5aTUg#F@yileU+eG6~P~WNm$*fCEq2
z?5Bd6ZGKAr|Nc$uf5jHCci6%8Mf9&<1ZDOK__&_ogI}-}KV3~Eyf-(QgBXtr!_P{>
z;e$4xGn!#rw}-o{;WtqiPrrlRYss0b;AO|KDdPCC^PCB4g2((b1Yg5<$GxAmz%I3(
z;pMQ%`dmvFJaXZmBym6IPM%dw2kgvruqF>4tLil2PewWuMNkBs{CdCkUieXp3g;tu
zX7R3+D%@=o`6vKhm1*9u41bYq-$TT|kIkjuOkqK_f)ye@W-F{W8N;d;vq5$+F6&ZR
zz+ES#1&MgPBmd5(Ib7N5Tx<nTEb6|x22)mugr0^2ulpxog;{*<cuir8mdXJq*t$Ns
z(g=PdvE1eW%g=l_B<7QVNvor`;6^9CU=8@p@d#xvIOg{QE(KWY$kOXzn5J~>xD1?H
zB9L(p{(4{dhba7N#EmBcR!(%~6@oL)r!YT*$v&6m?}59kCxen;Tj8}SV!n0LX1<jG
zi)X0aVum|L^cHgAOcR%4I#|fbaXcHoCRnaZ4kt9X(6_<?Nn5A>V1Czb8YgLiH`DZ{
zX5pj~s+lQxIbXw)SU;?j?;M?k7v~?(4#1<AYpxwm!S{S6PvsKp7s}_IZi=w;t-st&
zaLI><HWu)Wi`-!!U<R>l$J6jVleb&M{j2o|vomh+`1*_M_!GQ_tK9AXJYcr_3PYda
zZ-Z=R5%B72k7+f0x!BM$3g$U*qxuuf@@a`77fw5>8A;@?Sd-_@gE<(#krU;+)pR%3
z!V+!)y+r+T#)9AK;LbL7y+$~Rb=0s6?u*)Urw)$TEq|t)$bakATnp?~%pNfan>&j=
zBDUw_1*fE8_<mdYMkma`YTQ2oUl)^k-VVPxmpl0rj;4A~*#`$oIavOIJ4e&izQVR^
z?bp^}KV8XJgYX1*VH!y)#%o=iem{IDfaf(C?3l5?Yz*G6`um#(ws{zOf>`gps&iPQ
zgQq6hYp38Z+$J(?aDcR@6|vr%sHsusfR||hwame0QW@Snuvq1JJK}y~pBHa1FC4@)
z+C!}W9*~mP?1#_oS9T-Tf96zvlVY&Kj}PzZF+R3!?D%EiOivC=T9{fj)lnV3OTxIU
z0&l&^kXC?&_Psx)4vQb}O+5yeo#j+|2zMpS4Vl66+2^}MU`FA`zs=#d=eo3?!nS|i
z3Jl@q?Z=tKdO_?<;+zG%S^d4O3jU?{N%R8Da+cq*5<aoeXnGmWczV063%;bj{?Hy?
z%PKk10sjuliFSl7jvuJ)gAdL2{g0#jj_2z8;{dL#tV*OoW~8sO5}_p|D<qVJNJ5z*
zyM(egmF$YlBs<wEGh32UHla}2zt{Qw`Fxyv&b{~CbI$vmbFYt%Tkz(O21dOw{~Xnl
zEBq)RGlRsdqJy%By<u0sPp4<#!Q)GEJ}@V>QUQ5i9Umd)5eQ$rW~)WwS4U}SOelP>
zK}ndzgZET_+G1eGc&i2yU;5cA2Oh$Iy}OQ(@%*>v%C02%c-ed>8ULB28U<2dXO7GA
z+hBa~Z1MtTDRurz;>k6}e(Ow_B6dKXynolY6Tw{tmt<_`CGq09gzdo^n3BUKY!^Iq
zSa<g~xbkrz1&KG-ymI@#!_TrNtVw=lN2OO{PceV080J~S^)JvJdnN+63WVpA``KFZ
zL{|~^7NEF44RgB%D$Bz=db4+qz^R3ADzu2(k7|<n#P)k>uQXuyzR5vSpZEMeo0`F+
z@Ant9!6A1lbWP!}?4M7Q`OiW^N0S}=#Yow+7WPZcudspB=vKD8fy4fm9`=N@A6-@=
z<9{Jdte`ur{FwO@8UHQ9!V>~uOQ&mFGvH2{vdkb@20yn==3`vOIR+_k?4xk4OqkK^
zyTw!ZxMFWbK3s6dUv2=-sTO}i=7+ETcAfnOj~}<Ae*r73B(5*O?aZD1$#5$5U&eoM
zCeIdCa=z%Q<bSNsFuzjED<=8>Y@ngp0cS0b3XuFScxO&>!d7;ttI7QGDfNRx9B@Oy
z*7FIlrtb}FKKSYF8#8h6KhJJAe%R<_^5y@3pD>a5>kvFWt{RnybSEj%Au*VWewRQj
z{I_T7;z?MIqR1cuJ|pU)b{xL!>^tobYp!bDSA<ojTK&m<-R0O97kSvaK7ri}_O{4-
ztpa;L7%6mz{laC_&cJ1L1!u_mA%=tDy9T`4x%9&hc0CZ)sSclZY;d%Iqu7kL=)k3I
zjLhcn<;|lTwBc=C{V9g9e7~LZ75K&73!g5+4qq26jNtXp`>nL#wC@gIZ^Ch150lkk
z^<Q&sR`8Uc)gkgd#Cw};Mh7_FBcVkOHotaY-InAJw=<T8*X0MLZ^P4F$;*=PV_u^J
zPVg0V$6#St+h~iq2OK_-B6t9v<qx{(1~Zp9mGZ$YRZ>yj@cr0i9Uj=mHs9|K%+lpJ
zO5)`a)>O$D`0~{s#mq4G?;ZQ2;NGbc6*{=N)Ia+Nd~M^gc@htAotG#Zh85N>nUHvy
z9ag<C1sgJHt<J+WySI-`z~0n{LZ@Ki!UW#mFue)?e-rSfO&X%}@QCB7hreO>vQL)F
zaF3Mep;?$ISm5#^yt0F}j*RE$obnmBJjeGJ=Nh8F!IjR7YmD$~kC*#;Vd)<?b9iCp
zk~9Cv{=hTV>?CeDQA8|&#LxAnnC&94)r-#+HE<?<JMBTZ$Ei+>>_;@4%AJyc*AB)^
z6~jOM-6X_e7sETAFJW#;jTe}7RO(jke4Po$UiXbV4v(LqI-LsdQ&HQh4i7Abx+TEW
z{+=6E;ox3(rWklJ@rd(9_+`)Xsc=|r@|uMn?94RL`2fz6VjVDpd-V<I$^Ol~(BmIX
z;qp<{CvLDp<^eAkIHt$&#w|GWkfxn8{32I#&5Go2<L3^ByOI@KuEKQzr?v&cyXvHk
z4d9iG^~xmpUCCBa9e6Nmdwv2eCrDdO_OD)t{ERDuX+EkRkcZ=&7lTXS9uLL0GH@GX
zhEq4ZJxm+_(hBb@ld`UN!e=}*O9kQ1%gNH4)A0Pa)dg>d#d|}97~$|OAGny{V{3mJ
zz2H-|RJ9}6-;?$(F86>n9d_uF{lX2yLcvAw^M?Zhjqo9@Ue5y9=EA??YS^bL{&x+m
zA4L1J9FCGbJyZodrSf_ezzw#1oFCwu#r(VSVdc(-E$`qsak<P4_|p;BdtLCObH~3v
zgEcbtICj80_g=D#hj%Dcjt#<_qg0<ggu`o$`o6+LZ!Dz3;E-S;)=_xY=5kvw9Q5Y{
z^)TGI>}Ki<^Kpltz)nczrqvs(-f+6Tu-F8=I2jn~3imJ1TK<CdWL@{)hR4<#PE5kN
z9^GFJ;RVrqF2CV=%32o#SSRG_SyJ8rEvKkFY+$kN!5lfhmcHTt-?!AxiIMA(JzOBU
z8R<DpdjH7vPQ0ytLcR|X5xL&{32w7v(k9=B>{D!yY=^6Fvz9Ev>wk;%8{l4z8ykAz
zQ-wl2q<)9KTABC3gS^sXrSRSM!d&t`z|_AmCm*hy%-LQBmq(~a<igt9TcyeO95s#&
zjfJqoP;UqM-XpF+EcqoY^p-Xt1U`N0X&-sMoi$tc2Eprn+g|3utA@w=>|rZrxA9_F
zDo*j1EzBanr};JfpQXt|Blymm2hAI}dhELRWmxvd*?%Q)fTeTodHB;>h8SrNMpABu
z=V1P3SH23Eg(F~A8J;`SZcq>Jl?n_{g3UbaPFBPGhhOAK!g`)nE~Nb=MWmmRfW3#p
ztVsKr$Smq3@0;=!`=7SJ>3Xkk?T1~XGh&+HFC8^BJn*dUuU68YzBQL8al#kF-d452
z%UR9hZ19d(6wAG^;zDf`3%sujKX?zTN_81Bz=!nc1qR^3<`4hK`!e;zDRh0Xt=|O4
zKfF)NKH7VVw9mUnUkVpsXJ<QsFYx)Y)xIHEmMY0;2>#qXed{}16elD94Ib~>{D^!n
zGMRnFowS#qht|YfVIlbzEmEFo^MUaK`0x5ez!<#Mg#BJV%-a`eP0E|~kxnD;SA98>
z(@1;eG!T$Wg0E@I2a@sxcoob-;hXGQwbO97tjKy0OqV;KM%w@SQ#C$!xMpSP8)^TC
zHb|C}_tz;AP3<%ATC0MF9Xx%qh2bw8?J6`*-hakaCaliGQdu%?*I>8SILQ@Q>>1~F
z^8S40h?U?HoFgrqb_uplH@&hU9sT$27P*UX{<4_%I?_#Vb9IpS^&O4;K{QAg-n@3>
zEF4c?ZL<-U5aSF#2B#S3q|?FCbj$zA!UxpcAJf7LhZ)Mn;V&Dnc5H@O4Tg0^VfkLs
zIz~8VVqt6_oIb;{#sYU5HG7lq9e(C~oneMWv<6uBz;yfG3hsi3So3ps!{Q$w?A`%0
zTGXE0M$%uHXmi3cZZUmZ;N3?LD00A3;^{ZY_Zqp58$9{o{s?CpYB=Zj2OAzZJInv!
z%2%w{gCD00!XGc`iZ8(nb5|Y<z&5?tYk$FPGY2~k!pz;`hBNTeiTPR~_+EkH><By@
zSGFn+r*B{i7=mlM@63q8Bl6rF{qUVgdBG!a@W4>PCs@CjcDE#)aPOZ|8~n4Y?%XlB
z`9|qr3tT_+KtUGHyw&1R4~v_g@;C*XWCb(T!psI#HuzEC$}Kxm63bu%*^)FR_*}f9
zbP24$>H0_!ZnAV}d<okc{@1PsC!RQHmIGfEny68Mhip#$eFiV4pE!IGW@FC&FB$gq
zT^7)T&poVp^ALU`tMJea_7CKljf8*fTk$uAODv?l17VBu$6rEV3g-<R9`Mx6++-M>
z_4S9pFFaeI*pdxPcyi3T!KG|j{kiaCpQXz_u+8$++a~z);(U!OY#U(Q+yW2Bw}{<?
zS%SlIC*chf0kJOdt0?B=ad?fbV80#Q=J;4;9hUepuwVhp=d&JNg+nhfJh%eyQw+aF
z^#c11XRh-Y!OS=5uWf|c_eSUI!ed6>33Tu|;~BN{@QvXadrJ7TnIokvT<LQ;lODGF
z)bivAoI-IjU=Za;6!z1G4UqO|Up)qUJyJ{#hDXB3AAEzyy&J}@;8zk`szzar@I&`3
z;1Z?Z(ImeKf0VQ){4<uRh2&?nT4`5@8>#=Le234x)%TZxeJSZallwg^Tg@vDv+ve^
zI}9rcQz-Gk*Afl>Ou?$tX5TnrKGyV4q`WuxQmHn>EIb*^vv9W`Z2|+Vl&(QJ4SQG#
zh*HAMZ0fQLuwVK84;1jo+gQ$DaC&Lo&zUdSKP(8={Rg*b@ZbLlJCuEro`;Xkm}K_D
zp3?8_mSLZFl?r|EJvwXCMVLSDYj+zgJFXW;f%-G;m9cGwY57t;SCDS~^>)--I4Qul
zkkt1_<@SSb;9TDJN91{O%xyWB2}^CuZlgi^^Ca`hbXY)0yM{bZu~0vcB-qw{|1twy
z5crub0p5D2Wr{q{;r^xcXqfL%(q3lRN>Ke&Bz&TCoR$gpUJJbD4V!FveS#I13GQF_
zg1={75ZeaxZCeR<hCeBDTI_-cXOx8;;aW~}we7I^L4S>_@DF)@9}ZamY}eQoSj^eR
zd?!pN%*vz%`|cG;<buT_44<EcB@6Am+2IYW@eRk|kCWV`ys$~xu&FFO_W5Q!C#?3B
z@4<g?&!g>K{P6e(OCCXZXrQc~4}Q7epU(w1uNkiW2VW6sQQHGg^JWeTz)_`)c8suM
z<LO<(@B=9gdV07|J!)k?{O)S7@M1sqGd%?*#Ng$<E${xo#YWCM4#Fqr8K#C|=3P`8
z5^&jH72hB5!wcudMPW*d2QS*;z{j5~q~O}zx>FzFjbryjMc_Z7#{zTU%=Kk+Nmy;8
z+ukfVib+>h92T}KI1@*X&#Cv8hMNR_4L*d;cJp343@1nl(L8`t<pbl7!Vg5v5`E#j
zo5$`Pfsg-4sJR6vS1K2ufNyj47}&!r<7siSFypPQcdx*V{2Mz?!H?!n?>2%}cCe<C
z@&*FpJ}Sag8?Szqhrh_RS;)hGZQoau@_rU>3K56vhPE!9hEL@k-6skkd*$?nlqc}s
zL6r+WkXyv60=G~<AL4-NOf6~7z;hW@POR{a>gUHa;7?M&wrqoyuUrsOhdoX(rO?6q
z_`<H8hm+W4WNBgH<=@Jhu!^C*(Vx$lZ=dG7s|PoE#Q&RvJ-j;Yb>P<Gl7LAVKaZAS
z0LSk8&NmJlYrTxqhj-Sk6?}ukuk^HEf%)(4)fj*WZ2fADVD5WzgI#dqkM!khuv6Go
z*A967i|)^>@a*rqjE%5%{;j<?;BbwUXYb*bhdgYSun%jcR3%*YQAXVkwy*s1u^c{^
zJaXIy9vWRXDS$uAE;~BGd_UM$Ucr%npPAo+H{CoOk^#S&FGz5M<BQbyrNbpO4BpOg
z=~{qlENmOhQsN0$1tkwf!E60HLT<x`TUH*s!SbwZbzbm#C$oeL{Q51=V;6Xh)pEiJ
ze*S!W+Z|YPo7cU|a8rdU9l5{gfT261eHb5T*iKr(I!7sY55v)CHY^&G<DcG`FNGaL
z%0#ZiF^)mO#c*lp??0sea`pSVVqoc<#DnH=yxx*^6kH!PI&TR7{&lLz9%l8qFGT9s
zYPYGTEnH_wyMdJNXB$JK2e+`qOOgCu9}5!C!$+U2uaW#k?0-hZ;p?0a4wL+c(zf3f
zg{hT~?=peYRV1Eq!C!PLG%VnRUFVMPfu{$Y4w=Dc4Q)*r;X6*V7UcO=*aj`r!D^eD
zE|KTwpA{Fp0X{=17eSt%=jH-|^-ox@++p`2&o45ow)hX+G!R%yo*$**XRUcyTFESn
zJiqIPlRqZm?R0J5$@9}QT6Z6ZKN-B}B=yfwy=BWFe877v!(I5!HlFkW_(E;vv^)Hk
z{!~*l9D9qK--kFs%d8QmH2ufs4Xa3){H=!ToV3;b;r1OiVU@7v^hPmXxW+N;buP>r
ztZN<we|{3Do()T~3119=PnczWeF_Ke^au@yM?b&5odWL+*1j7G2h!BjKZZBX#TUiE
z@0%J^W8oi8Dsd6;;Q8rye(<b$aN8p|-|)Aw4}8Yiv?dnb|AunT4gTAhyqExoZ>J7&
zf$Qp>CZE7cU2L3oFo)Mmo~N*?=k_9N*woC2B?Uf}v`_gOeC=+D@(cL;L%#2(@B!^0
z*)(|19?4sm;Ea&Tv;tU)j{mtX9O_W|C?78QapcHZcyr`XYbh+-Bh;n}dz!wgDu$O?
zPMXTYrpbG*w!jx>sfCZiud{}9nqUiOj><#uL#OPcOc|K({>kIwgh#0<RJXuC`XYh_
z;KkQMKlj2Kab0>`Fm?EYWdS&!Ilpcn{3a;H{4kvQf%`8ntn!7%NeZT{U%n~?%eruV
zSA;{UF2<1ZRF4PFD#73U#Hd7I8T-tL%dq$nt`<_>MjxJJBUnvsURD%t?>WR|4d2t)
zf0LBQZkWez3%idm_mS)0P+F?x4Es@pIf%gt{YQ;mU=P+SgVJ!Yno`Uim_2gVMGE#|
zXnE=lGxJoAo`7XFeryeg`IXyu%EIN|c3hG04}(NMQhyBBd;^o=P=@59<M6J{?2l97
z?a!?EmEiucgEX&T%{~L&Q?N^R1M6!zcyVv73LM+|`A#)#P(Zz)2-h0l39W@S^czjc
z^SfveE!GF$R$3Dx<;ln>oa~3ccvL>pfHfYdIQ@VRg>j0j!-*T$e1>6%lV1~cV3v&x
zzvkev(2$Rs@W0u*^#!=DPVM+bl0T*C@GAUcV?sA+KiLO^6xQLGSNaM@@cZA9t~8mL
zU+Sgx8^DRXFZgeQi|?4In8EII#uZ!OuAq$XCU8g5{uXBVpy*XiEBN};LsYxq`qZ?s
z>+mV+4J_>NXr+-ZY5$?rjLN+5a$LeRY5%`A4(RQLN5pjuoZ(rviC`hv&M|cU7Ci70
zKSc@i`6-xqzyZC@?Gmt{sOu75iJx4d^P4>a^XGr-3WTlq#0s2*)jw{v_J@~W-#&Z_
zjyzTUIUL^FA7G^n3%&d45DFjJYUip7AIgs(B>jC>#pmTYSUR!RB^sv6yVRl!zw71J
zc@8`F*i#w8LsF-HroxtVS6Pf<OW$ezEZAP&UD+I-R%Mub0V_VUFt>tlo-uAIg*P<%
z#@oZocb%^l!^2B=vu?qEM7cZ3cqSr|_}vX2Y7@Wl7H*<Q`sD%NU;6Z^9!^kyyU!Qy
z**Iob3ojPdNZyC{Jq!NY1Z(a1aU%roV2yQdfUWlYbPI!<L}iEDVTEv}SFvyxEq<C6
z&WJnkF%D)+_PIdDXYOT9npAk}<h@xkK0B<NZGQ$|xW3nL6gILCRLz24?Be<}1pBZ&
z)6ao}x4t#~2@gMN3@d=e_P<`9fWP#NCl<kZkF+f2;4C}l?zeE-F8K|=VEU;G^VRUz
zORoJS{+QYM{MP{IpS^aA#GlUWZ0RQWDmTS<TBJvv?z8EDAGnUXP{X5Ko4mT<cXeK)
zOz@_r!v+2Dq5CFY46u^Nla6n2zh|gE2V6V4dSV7<mOmY^10IN#*7yZ4E`9n-;^&pb
zM`i1<sN$V{>~MH(f5V0>jKAK@(R{GPBI5=+_`=bF13a*C+4-#uaO3ZrkN3mMlzykT
z!Ah)>;`?A5lXe|eSVEyTQ3M{=K3vTUU(Zu&{SOuv^l#e>pS{*`^blMps+b`M7nEhh
zk@Bwm_q;?Nwqq2hBk{kMvO>ZMzPKJMOwM1%qr!g+_A}g3wG&>f_6hffCnaQNS>T}s
z2Jbtt@MNhssSm1me8u<SoKB_PB>vBgyh!(joqxX1qJUZ1%LjtsEBmw+)=>W&1y8jG
zz}YFC-3zd2g(h_bynevInmkYblFo%txQ%{*ViLZbKOhtfM+}=h9D|J>U*U*`NBD>T
z`v(6DwS15Y^Yjj1{0wsjjo(g&!)+|4Nc+5Ve=H{*-ljBskF?Kn+iQu>;f-<@Z13UX
z>lYac;O;3s#Tr=Dykq$lJaFtw59wbK?`%&D!0wOru9E&J+)JzR4Q>c-YI_aaZJzfT
zg%_d(EndMt%R-~Z;rkn&bd&tER2~hpFoo^hP0~NLHTLxVhMRQEK9l~rHIrfM5*#2@
zY)|^<<%pMDD{xeR;5X7gJ1LTMD6{dt{+*LE>7Sc@mCdN(zQo}n(my3>Wa1cMJ_QkX
z(mzf1jb&_xpF}?yC-*O1_UYSpSRi@u4!M7Qm!R1laGRC-bT8b;<t4xcKOPA7?S}uj
zN=ov;w|W2lCjFIFkRwF|wiCa>(+4mA?aLE`8<sjkzQaroPyElqyJCYTNqKta*B@!Z
zZc8)&@BfbBBmHjh%yjq<ay>6X=$c*NpGp!=<a+fFr(1`@LyNkyr2Y$RYYl@*dctxu
zslV(b6^c}t-ijhJAJ*J$Jevdy8Km)N!UlW91kz#kl$1B=@N*wUw&(E5g0e;uTrt6{
zmJJUDof?UU3r_GK&4hX7CvKDRxQsDBtptv;ZhsyIe{imjErR*o-J~DDr33ex-@>_D
ztv>p~o>CFzZ{X%TtfnM>DA3UFZ-ishCc<vRl8&sqKESj#(R{XWoq>4i0K7@&`2XXV
zCB0-uKOCh#>1vF06E|7a-*EOJrxPTeelkBII|~~{^0#ZkGqF-*`*Seg_;CKgF__z2
z>z@#;ToeEQcz^VBUdtI+LRepu%)h*vdk0kD3)Knb3UIjPr9dBe@yHc>GJm;QzQ@fQ
zZd2V$y&qmVnflV7950+5N9IrT-dB_E!!@b4!klo;_2I4%*rexAEjvv2@L63DY>->3
z#{w@5@+?Qf+a-=qZ-pJ!zfFY0N!A<hZh~X7E^t4BofPivpn)U&yVs-O^HU7R7JBjb
zpVg-iKY>Ly1$O*~#l5NdAH(+?HLgv-k(_q=$*}kL#+6Yx`NXtzJUl*gp0@{PyME5*
zDLk9fTHFbzeb{Q00&kR$Qf-1Qb!?+vz+y^_-#@_0&kp*e!L7<|x2j;1s0SrE@czWp
z3>9!xyTXesSc{4=p%A9#j~mE`yE8l`Uc*6Jx-EHdu)V^&O!yLQI{vj9z9+YQefb4^
zjMrqY5cZ66olSzdLYFSr!SUW&d!E1wRWH?R;4@UaUPi*gp{~^n@VWExP2O<O@!s~o
z@Nw=|=|GrXwmOY97xBzuGU6`0i}7GF8=Ty_lOh0Co;Uls2VU*aiMbCiT<Kcnf{k9?
zr3{1pLzS)z!}253BBZ=t+qbtxVdXPB<H`BQ4vYLa4i`{5eh7gF0<z~$!k5P5BxB(T
z_7TA|@YDX9rYQIUlZCVjJRmbJ9S_F_^`%~bqtp&udkBC1b@jDAY$UAF@&EhZ)WvB5
z$Gp3{9*1<6!D}K`@YsQr8&Ba!yA!Y4!^~R>Hm1PxVTT=W!BbNmHW@Iz@$;|Vuzvqk
z+%wojSz*=(etC?JE{Ej*>dqeo&#G)mB+nzyj7u^EuHX9~BY9psm@ZmH!^V$<Qu5%R
zA{6eiaNeZCmQq;Zv%|<U`1iVuYysS5$NM)8&h64lFNa(5qplRfrgl=D#qh4TD)z;&
zM}w*yX+I45znEL#HaZ$gQr^bgJl>D6&@VRIYWQ=XX7w;U6qYSk20OX3cZ|Z;G-U}j
z@VCSH_N#C#jj-_>co+ABd+V?q{gLKcxOK<GPo|gn`_1XPf24iZIM%Oif!Q6K&ECVI
ziGL66fa6wzm+Romk9!q%!EMWt*IVFfW!c<)aLeIMQKbE!E#|A-5C2!pu%R9PdQ4|Q
z6n<e@5z`7A-x*C%B*#0H^zxy<PCq@=sRlPr8(H(fmphNqYQv-Kngud&YEjrxeK?6_
zR^<rnxB0oDAv{;{ZLcyM`e`N7436FJR(cwiq-J_%4j1Lv?IY_C+QF-R*07HkZMhoU
z{=#L_7VdXn*-zFVmND(zx8a7@!4>D=%PW&&uJFbG?j9iP*Mdbw^SiM52d3%^aMz0I
z?R&6b(Yo*zc$~f>I{?-#zh7$z%VZ9|4T6>UZi|`2R1L@GBjJd!<@&3zHbV&8Ls+4-
zH^~uR&{Dhm9PaD<*ht3n=@0G^>9BI@n<M{UkMHh(mkakRinll+eWNJzr##p;h(p#3
z_6oP#TmtWm3I6B~ughn0mBG#DosN-svZs(yry35Z``+#iZ{i4au7?woUS>tY#g4OC
z%_RT59jC~8Lumiux2>>a;!4gV_*P`xTsOQlW~e~c8)nNQY@gwCUi_RS9!jb|R{ak9
z$av>JgLB+vtw-SRaSFkOFm2(B)Sqze`#4@QpW(~atN#V>Sh%=C<{K0(AC~{Yk0Ud~
ztBGTVMAqT-47px1-!gE#Y(|rZ`E*^-%};P^;ZnwCcu&C`_cHua$m82~_=&Dm;XgP|
z?34f}Y^D@$u^aP4rlT#F_~8(n<~1^Z_R5gS7lGwPrZ`W*2|OKRk|ceM>-7nESkU#P
z9IPKC)M)`XF>*PbfuDElTA0HfYMmKpVP}`p+&l2)8Lw|T@RJi?6+GeE{gVQQu)z4n
ze~Iu;lOzK(IOZ^Sa6HVh6c}y=uWz;QC?x)+^v)g@`t;!XYxoI++RAPCSyp>aGpt;-
zS^N%sXZE{%BdllYsN(}$7F^xa4?mzd8W;#WSlYb$1h2NwKM97N+=RKl!}spIX^(<M
zVkKUGh1X_XhGO7N+`qZU;P#wTyA#OqDRTv6|FACN{jn5Sg4rtc54`0_w8IPdEtUD+
zc{n8VvTr7wJi#5l0&`vwDtiU@DC`tif(z{bHNA#?Q$9v)#D3+)Z-P(T;K)|rk$*@J
z+)i280UxcE*4}{heF~TL#^H@2z04&4+d4UmN%+7Pd`N?Ij>#(TL$5F%em;A40_n*c
zt8B&Kp5JMMgYX$?Q4byXlo0KQF8KWrua!2e?S9pO)L-~5+wLpynACIM_pp?-QLPc2
zGf1_o5_a{XSh@xmpGeLwhZQBJN3X)JY7}w>a7a17wgbGIPSo-x938kt&JGT>4qHuw
zlUtrS-G=u!^F=&^`+`EQI>B+#KK$f)*KB#&>I2`@PC5G!Rv(Qj_lEIS?|UdLwvT(x
zA8zXiaSDc4rYQ&S!!vrn=zQV9umHADSc}dj!5jX0<|b7zd~^1*m@Ay-Z(|b&PilYH
zcZB&aoxS`BE{;4seFI)u{1A}@_bJwSTf!g8((WX{PsjGNnZU2!a27s;e@{KjFoN5x
zms3;Wg5UJV|G&T6cJosPEUN6&PWE>dZYjS@hkxdco2kJUrHfW_;Y5AoC1qH!DSRRu
z))J@>mV+<PEpZjVM|fm-N&os(nY;WFZk(i67KR-hn8k|WRN>oSgkavBNzOvp^WcCj
zS-%cfpE+L+hg7Rmll9}uPo7g{u-V?%56Sv*`l_pQHJs1DbC3<TzH`p35_bN0zmlx4
zqc1*x{0^q2|9zgUCw<I39@N3rVi(6Y!h=ao<xOx@d8Ip9Pb$QxWH!Jj&j@ZM<4M2F
z&u?w8u0ZfpvYss3SKZPI|6y5>BKrsG#%j_7utHmb@ff_(e9yjqICuxw{8xCq>v8x5
z94p?zLB=!xKjvOzB)#p}OR`?6kLw-(16!yJ_cp_Z-N`-kF#Rd58+GuTv`)qqc(+#)
z1zEq0w?A20gmXSIMv?W)Lz+gB4fz;PEiMWc!x0xMJ4t!>j2-AgU>BXF#2MIziq|m=
z=6$c^HVHE;&f#BOBmQIvogRWk^q<g@_+U6pCGj1O5~PeH@h7!se60^oe40i>;!AAq
zyQyB-Yl88y157m)?oH}z2a~ehZFoh>+4epBp)-?;#4}^+lQgC91J9n%WPj{(-GTWc
znEAbw%?)__1?CFU9uAAY>m&PXAq5+=bKui+{MOgt4!tqwH26yG%TL!~zxY<UWcWux
zeI$wRmCl1sq&-&F9Tz0~i}o}v!lb>wJdo`u1P@fSo09ykHvIHtJ;JWpa**VIw)1f9
z7WjO{dlQoX(xa>kOz^w)_s5^YKdOwqRxn>tUoLaVgd+mFS(ae?nX)S{VEJOvv|n(6
zdPWSnex;67*%|n<_zNF${jH{JEhEHp5hbMk3$<CB4#5HM!_xBM`?Vkbe1<ir9Q#TA
zobr(h`~=gyvTq>$!L~1gvki_uqP<=L`%SIBBJ-{8>9apce+Ybb@pL^b(fc1SY0v9)
z)qP~XS2V@5M%sUGj?0F8_=(9Maq>L$E`5uB37<W^{JI3Lt=5Zogk`g2?!1CW4JS6;
zhSPr<sbs+=9zUxMVb?9sx0CUqGulP?3M?5SmhlkIkG4z^hTW$99K+!~%0HRJU|yl0
zCj#LU|9yV91C~)zW+3BV(?z{QyWz+Z-6Ur?bzo20Xb;BEhvS`|u)b}Y>@d9HgID5h
zSi8%2p%Laa+SKU<dp+G8@BuaxkgfKB>0>VJse*gBD*ll26N(1%-oo^{dpqvHip}=D
z*>GKd672)HQS$GNOt?t3W5E|5)t944g+Crv{f~^NU)XA*l3@F?TpBVS$A{~cg~H?F
z+_GVCKy;5rFgz&Ww<8Gtn``Cd4!;wcQH_KLm&fT{;pdAyGNe8(@k%7v!RuH2tVw+p
zRpyG@z~?D1>?7qJy4CHa4(qAsUW$buDV}3hg<o;BZY0;E>0dg}4QJZ3NkzfZ_oVze
zVIQ+cO(Z_-OY2*i?8biRHq(dXe$P(nU7v<yzDH`2`g5W;E@*<oxXt&FcvaWk#oY?O
z>f5q(gV_JP(pz|Nb)?P=7Jpy+suH#uSqvlbapAe!jWqaCZI8hPc#p|&&kHy=I$rub
z-0rQv_7G;f=tZp#|M&8(MI1a)IXb5TcUu2liGXV(8!F`CR!Y6=(eSHSsT?`@kW9#O
z5KQID?kWSfNseC&g=u#OUq1pb4skB|!95K25@PT%Wk)lAcv5MMR|FQcdGYTKd{nt*
zdLO)9cG>hEe3?i23qSm>_uyYwxY2#P;|_RZd~LHATu~oux*cXOpEq`fe{g$>Y=&<Z
zNH@8_UudW~8DU-Z>qd5PwC&V56?{HBy}<zv`|aGj5#C(hb=e9YurhwSjQL8r5A%nc
zaIgPt#3HQBc+9{IuHM#X_#4iaz4gu<&Tq0-pM|%|Cg>Z%C(JJHBJ&^q_K$T};C*Gk
zX-8ob<;4pZVI9+fj<2xTnSHgFU=bbn>MyX0)LA`kn1;zBq#JIHcdpifTOTucbi(hb
z;&s&FGSgw!dRTkyyU;mU)-;r|79Jd>#t(~Pf9#ff>l=8~mG?h2`0W;<x23RQzkIno
zY#2zbn+4AZ+eV&&9Uqn{WWbwPLIqC3>l<HeO@$w|CxoAZ=QB;$li(-9Z}!T-N&@E^
zACdez??R8lY*x&rvGCY_{6GPGXo12n3|=iB50->`yJ~NRz!OwdJi>6H{8L6U|IN^#
z`YR4^jImkvfHgQd0{(+PxEQ^2f>%CmUpN2{nTr(Of)lw9JlG3AxWw&!6W*b~GbaGw
z9G<r&^Y7w~l75`<pRtjnSK;MgfnVHk;^s;r6F9k6+Gi)cnK%EhKAc~~KeHQl`w=#B
z0XDoQ<-HB=pz(dB1)r?q{K*QhnVKhS!1JTRcNpQ*u?9EE`XMcYd2%y+AWYuiG<;2&
z+mi;q-XSe`0-kkP8`}g^UFY9%41N>9;7$Qcm2vzy4DZ=9JhBn?on&l31g~b!x-4}e
z{+y*wH~=4dUN^J?=kHz$`VZcp-Re9K4+qa(;De>NBz^w_Z{!=3<boqzUv3(Kx4I8+
z+zIPxxH*i$Or0a&SYR99`;U6yf7`~g7~$zAHL5<?@z``6JzT=3725{e2F;pN!W{L?
z8#`gW0ov1K{U%$)CRhVYv25N()^`@4+9K-USQ)Mjf8e)w+WE`jFfW1TX}F8tKdb`Y
z-Kd>80q-pGE6jn{77U$#z-#$ZJbAE1ezC$AIFtThUo6b@xM3?<pPuvWQFshb{xat$
z>tX->=g;nizv&BKtc07l7yaOYH#vP5D1}4CLZ57ctsf@nSHWBKe~Hn+gSwxUE8y@i
zKWbMyv3?$i@F45u;}_)hmtjQ;Mgy{*-V-i(X96x`dlUKr-l*-jeGGPT{pa}(Hs0it
z{uO?jsXo#L7X=G-^uaIp`*n4|mXEovwZq!`ZEeTlD=XUs8e#FNWTR2oQHQRi8Xnxz
zSHA$apNsoZ4om%{Eu4doQ${)!z%q9e#+Tq`?;eJHIQnd3FR5?u=+=Y`I7sO-BL$w1
zmN~OTI{b^ue|Z(@TK#nI65&A;HW6y1TT&<+#KYQK<v7Xn%<qw#iGrVf)bwSB%Xx}+
zg~9m`oo{V{4K(wz?!$AjuAle7_ZD~cc*8la@eS<oZLjT?u5hUPt~FkmT1Ro+8NQ(*
z`;!}%KPDGp179e7#VrW)n_2I>2^+X{Y!QIdaxF`*!g`9Q<qyI?_D5@&z_NDtdG^DZ
zv%!v9@O0Df^P;fMt3rAWxcxATf-oE*oF9K0PWj{FO!`masZZhx@ZOaT5~RF$svkUg
zVV;yr<`S@3_zVj-Y^l%1Li$g)XUFe_4#eB77N^Bv*2$&&bFfuv-bZpjA7!e8isA7p
zw|H{D7ucizmcpmvUkB}i`>P%Vyn-WNj8>5Qz0h66^%Ax>hzi~fQyz)#je)!P$}4%`
zKM!hdM!~O@>_SL+GD!&nZm?oQXcakM(!r*(+wl8s3`t~vLnq<YpgCO4&)Y%vHx4)q
zIGMp-pAzy&d12nQPtL<X-E)RW{eDT97CQ%z#vQ2H3lFPx>dC=<trCBP;LMjRQ^#So
zR}RCZeyx&byd>ezs?Iyf{b%TI-!1_^<Sd{i`zK-Po6?2g#yziP$o`3Xp3t%VaPPO-
z{iHrGnQ?vOhI14r4P@aMe9^)QGcO9LNyClZhyHDcBWgIjPQnj-wD7O$Fh4cdvpx<F
zt|)Rdz@D*Zk`-aTRpWw9aI}zjm^_@=qjQD=zFlQqqXJw0XZ>Zh9q%&~(_WGBmd@PN
zb^#8M3mqoou_2=i^&D(gSl_7*b7fjToPbO717!?g`+s58!|?k@^E>}PzH51ob;3#Y
zEviOHzcL-@(GJ%zQp#S2ee=DyHo#_yy*Ekx;7ARA_6}a{Vz^A=he?CakqY?1hOBB^
z_(E2=Nh$nR`*WT({Pw?qg*^Dj<F~mHa7BpCz%%%RZG2@EEU9F#ngiQ@8orPLYjhr>
zPlH8#*Ob!X#ic{>3GlS1@V9b!I<MzaEbOes`Ktonnbr9|5e})`e4fldZrVBbg}~AK
zS<U8QX8xN><am3%TP8a(pQ--7K_n11&h~fM4G&8Hj*BGev=YyG;Kjmt(Qx=nKYKJ6
zym~&T<^jAt)@<n@eE;0a)IIpO<vj*bSiWKWVi3H4hOt`>zNn*{<qflbmKr?^yPBQY
zMb3AXPG!g*Husxd_k@G~Z0)dx`A#xMI>Ff!4VHdz%i0}H8(7GV(VfiaJ<LqXo#7C9
zwbNvMl90=>#TxFIe5^;-dk#5^ZY2Mw)RQxBV0t4CX_EhZ=pzcUp5mKact-NubIY%i
z^{&lqP@omO`CsPdVOW~$%0CC#Q0Mirtyo|09BQ;PgH3;mXl#S`RX!TH35z?>c^-qs
z{<`TI!2{piZ^**yefbl*@Z4DZbt8E67;~!%yp(jr^$P49+9|6IcYn5Lc7_Ex2mY$U
z#oasjTwuSI_^apPsfQ}1A+X55d)(^q)9%H_Fj&>}WUvlgU}Urw3qSD?;UVSab-m|#
zLY(__$rL^(Cw@K^W;zxUas^IsnKF9@Pg5!_Tfp9Px(~D9Z;L{q=J0#N?y{Hgg&&Wu
z--ad16sC({Lp7HbM_6*2j-nL)Yb|U+p4Y$y7x60C^(5V@8+=SaUZDnd>U(411G6XQ
zJ2k+!SR+^O!nuNbvp&Lnp=t7QB!AUb=CANR19__$ICSp>?;tGj;a3l7-^ZR9>x{t+
zN+niLV3SA3%_m?hp=-TQ;S0TqYwPfif2oo2u+Pp1TQ|PO_o~;`DW1b@+^eVP;A;+4
zQK@hW!!|KmnB(82edPRl6o&6P;4C5Q@1(tlglqM2!XEW38svPgT?b{g;G6WO7f5?`
zT#{7Rh8-?#s3XTmYsGo#!`UvO7fAoGybyZx0xZJ$dy@2zZQExOjo{%>4=+EG{(Uv?
z3jBFt*A(fGC!^lT{(wDhTPTy~RnAOtb{Kv|Ghaa3V@Xxr&=Pz<rO@Uo@m-d`EAWFi
z$NF!;=YyCkcNL&Med+g;{0%18+u7m6hl8U@e&y<27Gm&)`qi@}zxZcQw?pvujUHtr
z|EOF^whSzH_VHOuSbKrD@+ka|VrQ8>Y;9rqTOJN55It)PUoC2)It@#H%_=4BqiRmx
z;yf(o-1f}@mU>y@rVH=kRaJL~?QSn*Uxx2e>wR;9xqnW!UxB|DoGuA~y<9A$Y+=Sq
zjjz7&E9#%h_VC-*T2)d%pB9ANU0}(n>H$*!FF0O@xWR4qlB!W~ho<<PKkV1XZx;$P
zn~nSz24_e)7pB9rnnIUjVT0If%A`F!iZJkwgRAmS@fN{Pjh?+uf!BNw6ugGx-`?7r
z3x_CWpBRNJ-ZbeJ!dwNx?L)B6h1(Xzu#Mls@t^Q>)3&$@__#q^+XSo@d#I`g=D8T3
zu?*Y1eaQ0%o}xRLL()wa+BeU`6q{S*zQbdW3ZKyxVt@A0%3>e9%svr83-6pt3?}g=
z$!_7&UifC}#oqTYs}+|rFI*r^aibD`TpN`w3ilpX4ljeh*xOc$!>##At2MCNg`vH2
zaQ@Lxyd)m!Z=~FI0`|?gS6B!)I!P&<hFR>{mC5~wC$a0DfiG>gEqDXBEst=S!R{N=
z)?dLNWqZZV;oL)it;qRUBCdUKhYQV|`AB{{R+D~DID@A)l;l5IVnmk#_rEk)%Z8;F
zZ*pY8N!wE`$@vG`*M{E1)v3&{v*0el-TxY3_IPdX0+_Gr=zs0-0m)~t$oXAjId^=7
zKZ;*HodMr-TVmK*g#Ns#dxiABqHzhX-LS3=lf`5Bgz2?WNjOzDAukMO8O>fg0<%lC
z?Rf;(etaKx7G`c@?Iigh#_WEo3D;>UoFw_@zKPzr2|JdXKOp&4--LSEz{h(c<{!c_
z{n0->;N0$@ouoZFOI@Y+hBrHZnI+@XQ+dmy{xIdv4(}A0#Z=KW7;g07x|9#koz;kr
zf}6s&{Co)yNC^CR0_Qx8k0;OnL7MdTr|=CiKar2{zO+KY=dhewT3jzY&EKe>4fCo8
z9_)s5ct76FgR?(>peF5?`|enNF?{cAdMs(bDxS9QO5r2bb(Ez2o;NSL{1KkGd8UNS
ze_lRUwrhuPTbb}r!<jVxv}5p5->SY5SnL5m`ve@u*n4^g_V8Ep`UiXFU$7+YJJn@2
zVhOG-z0v&}&Y)!byQvuC+jRdTIiH<L6+Hu-={Rln2maeWpTrH1r~cbb${TdZc+CsH
zc};WwFI?*NVW$}U;_cZCQl4U{-+@E0mWDnX>0c7ZVhm;AJClFY{=q||diF=*6TdgG
zZovF7Clb3nFv~?zsTHJCXP=x<gJZr*rBWe%{+r?1OYp%Co%(g8=WvI~T!dw%HTB8)
z>zR{;lVQ7}?Q~z^y*-7y6X7wzUGb#8McOjep2NXvcZ56PrGTm<PvJCfpXx?fS2MV!
z1YUdk+^H6x)_YP~1YdohMNj(2fp`tgW|IGI-doata(?R_ZG`3LOU{x0aA-x!x*h%&
zN<Z`hmOFhy|0676#&SCu_8k}-qbtFF_OU%1$#|(I{BMN;zF5F$9RvFX9IO?DAEy?+
z3WCR`m3#k#C$p0|qv46jud>qc(V2mhq<sfpqtujzf8KtVMcViBvf;2M>~NIYnDh_I
zt-*`uU?z=;M$&&+#5pcsfve5ef0Fip>9v-fDV(u5c#*{80)wxec5rCoh#M)df%?*_
zBfL}ixi+~Uk<Ps$9`FcH@(>xHNB3Qq_k#bhdTHjuS2i4S^n;si9S2E$D9*b2KY*h?
zX{nR(p{?_DSt#rrFF!!WhY`cb)^K>-jZ=k;PabEDH#~xS(ilD$!|xsPw#UJLmxoSQ
z!Pl+5lv3ca(B_`EaA45^+vjk0sC#ZJd^T(?IUDAPHagi13%}Mc%!Nx&9?t55X=z(j
z>)<C(>kM1q>o+8f-@&cDu??hs>=a2_=!bhVsXRz|f4a8Pe}x0CcZ~JG`!+cy&ch!v
zIO0hEcAuTe{{#P=8KwCIFSPjVpf1Jx3|f6b(!MhJX%EoCEseZU{jh@n<IwGJysb|G
zDbL{S-lsd@tb7%oZ*Y^qbQdRlZqGvA7g+Yb`vf;U)K#*F^yl%O9xqAw`n9Ci0l2}%
zHtGm`GVO{i89#=P-oK;+TbJZ}ko*#J2W<7=o<Q4iGF~K}$?q_O1;5^<AA~ihXe&%%
z#-;j%URcKUF0VbzP|#S>0pD>Km%0UaWcdh@>#q;Vc<c>N&fiue*B?1D=X(cso~Zgp
z>XY9#qv$@&5h-QY1glP(Hu=MY&wuul`e0OT6L|=y3pA~g`lb1A8+#0Vl457XJ6N>Z
z-t#FuF*^RL8m_L%wMc<ycjJc=VWlwrxEHW>WL!@XY<@q+FAWyoKW;_ZUrh1Q;vAUv
zugc2*+ut+i)GXM4=3y8a-y=7b(3HW^QQCQl@XC(aU&XM`NQz=C%&ij0R|!{@FL#mt
z!KYER`7La1uWCv9BgKf`$vT)ZF?q=!E>5jstAa<R<@m^a$+zj;nfGw~tLS_u_?Yj5
zL-p|chr>$NaQikEvu1esnp7{D?}=0?X*R-*x%Y37`Cv$X^WAp%d`I_+G5knx!_ANI
zZ_j<<7vT3f-U&VM*k1=8UHHzK0{<>pmZq*i9rmUYFYAYsIyawIh3h9{!h7Lz-aKm=
zcv70N<}0jvY;jEr?sZG|`2;7PoGjynz5H1UzrmCV;%XeQdeAQulK;;ZyZEIx>__=&
zM3MYIo);hd2k%y<&?WgT&pw?PfPE;>-zWKn1t(qm;T;zlmHXg)uTH5N*rY?pbr3%L
zWcT|@IAgg(^9y|DaKUUYe0LL@_YlmSuy`jMj{S4~=66_<Qfd1$`0%!t)>$}vp#E?Y
zEWfJwd<u?yXKEM<2T8m3%)#@bNz*|vGhJczFL=}2X>T9+9c#%rM;YdK_1lIVVJ3-?
zHBR`A-CGS$Seu(7LIPHf<e+ed6}`SbmxRabYOTEB*<uSTZFo7JA&can-LHE`2hO;X
zyMyFs6=+qkhx62n^=`piU%bC~3sy<dt8s_VC=Lg>!6O|S+O8!3%$TDK%;c0eY6pir
z7NQG<hXn7(TEaOog7ZPJ9Q&k@2`qEt2!9lOtgySx2o5xq*ct)LGstS{!Cnl?_DOKL
zDxK{)*p))|%o8}Awez7Ita9pDMh3hmE4KJ3OsRM%IvpP4T2qsN$47+gbKzCn&;4TX
z=vThHY}i5Rl-+)qX>|AZ*YLS%jt%?Z^WB@9U%@x``9yQVHK#VLmB3tk4fr`=9l`mr
zB6y^tri2BSr)*KFhv#c7KW&EpF_s^$g@sBwZqmSBZcnc@!l9KZtCVn%TZGmJ*m5Uh
z#PUb<cMV7Hk8q}AFV7;}rf71r1wJ5ps&E$0o8f5fhg}!ix+dYv^faY?um#;Q%O9}C
zw=WZeu!kMR(l^-aS6$avc-xp&NH08f;1SIzO#l1<XE$t1Wzqi~R;#5{s)NNkB$y`P
zrIzaMYWV3Rj(_C%=T5>_rEpjC55XDuXwSq_5zJs1KRyO$N*^pvfRnZLchAE0U&fT4
zz`aj}XD8v>_P4fy@Xv!o+;ebj&20*Qc*|<ZpJ~`x=j{I5@atXI_x*t>BWX$;;p%HA
zR)4|eRi6j1!c;p(4lcr*)FSLmh`+z3T!5o?m_OEnfAbqktiXxW?Eh)NL)J&=|G`VT
zv*(V(A*Vmeti$!Lso!Pc2E}szRoMC+lk*{%=bol6)f?=$$i1ZzgL$R?J3s;ZFhq)Q
z!z!B!4QOGucDaf@#4_RHlrWDp+ZZFPo4DPS9(Gl$ai)iLG=3kUfsbm&CM~vN|Kp5}
z1ru!g@|5UbSjS2I1RXq}$#!uB)}*Yl*$TI=R*e0CFXg5vGQtZok<1;i*~hI;EO4=e
zZ1P9==v|5{%<!AZr-$FeT$?Pzcfx_PDs^?RE0?l4D{R-dXZkhlBa<1+4)1WT@^}T$
zwg%qZ0Y7;a^*k9C^%{xigm*rXluU%Ho_0UrfX|#uYKS4nmmDbJgL}eH=tsfg-Rw_!
z;Gm2b(}A$A*3C{qSmxwuPk&hb>ZJ++*s1L0w!5&EV*1QM_(YmYiYI)p?AFVDaK$};
zBQx08sOXz8d@!GP#spqaepvV)>~i+cj&rc0cgKhr{GlN@O#}Yc_##aR=BoT~RTAcY
z*ViKsZ@XhWe+ag@kt)Iq(<(oToozvTUwyE?8<y-?qMd^spG0)A!4B$GqTgZ3P43UO
zz-h{Rl84|h9ltR0yz=rq5BI~58f=Zp^Gs&zel`H7<$0-+_EIu;Sf(3Z6tQ9_?df{e
zgN$Cd_@yV!G91b>di*1N>4;S~Y5yBk4(GPR7Z1m0k^Xc<VY;UZZjKFhC;h2vO7cuC
zOwF2QJ_2_|h4+`i9bWNLq(AdN?^1gUXGK@?eu2-`2oDy(J@om%yI`AR)>_4|T4~>x
z4!E?nZa5b{J5%9N2d~ac)xU;6(al`1fvc&5^|RpO4}(YEz#}g!8gk%GODbE6;d_GD
z=HlV*D7mjM;eN$P(<E3>cp-_5w-x2S-1p(Dj=ybF;e6e!Fn`$i;pkT~p3CoemvENk
zZ~K!Q4Et;S*sKNH&FgY`!R`xv9BeS>1_=#6SkR>|iv^x2W*Q^$B<%%v#CS9Ldz-!;
z_u%NujJ%_;1|wCUJKUDgJJ1aKt<}@{z?0E6){XGJ!oQ6kaFI{2&?}h!=F4T0zVOz$
zEElFUKL3K`Km6tnV+dSENAZc2&ns&6BoKa+ZdrR5zA~33dJncOVV-{g-zbl&yaQj!
z8fhTqN#5EyZUYaU^IHmpM+4Sw--JV}4chL*6<_Wq8^FKT<|#=0+bwrZOdmFwZ0ZSs
zmqo@eD#ID&muX47Tm9NNei}9k`S6<@A7;bkc^tNu{-%`xM|}PeFAcvCIdkj@JYK^n
zE=JNfwcH@}KkGG8B@AmVNL)yU{TlY`3cznJ=Z_S^vfNLpxnQA0mUa^Fc9o7lVuP=S
zxEMFUX_}{%x4>?DJ5=Apz0x6HXkgdJ+<m0I*)TT;tv6x6)7PQyGrXX@gXb^2q9VVS
z#19Tlzmvb={7VsANPE6H*w#4?^Be0}lkq)MTVj3)u8T>!I1e`*yZfLYKKEqh0qHO7
zs|R=X!CfCt-y-AvZDqHtHaJx>A(f2B>_+@YTj9-@Mnl$+Uc}_^u^#3Yk$Fo^`m4)s
z<678R#rp*rp92D}&zHd+z8`zZ`20nU$)^MsvNz5p{W&|~MOHfePd;sc^!Mp(wWH7B
z?(8E4WPA>Y8@n0}^Re9?BI9%MU;p_Cc!WdmIVn%x+&<3*{-qMsMaJW48WuTcSaaAu
zmI2<%x43#4KJqEPej6-F^C<Wd%tssafQ;{7TijJn!IV{5MPz)xyTIOe0yg(faUs|9
z%yKnG05;xOl1|3+n$9?Zy>Q<iV=r<&0{@9=u)wb+Y;wqWE<4yfuoW(;v$iGIbLd7^
z+}}nVpW={6;={XZXM`4DZKiHDl7H8i8}1$O(QnOeB!4C|9b+53>MggQjE4s~1TW{p
z{i+8pkn!?OK<!i(?53c;o8*^CdiWv|rtdtcO!A*PCm|gUv%P=wXETg%I|6LrS@ke}
zl3%@gWY<ktv8Ha6l;3Fox?3A&-WtkA@++ihT+@OJ&P&&l{Ems2i$q|qhYP>A!{0V7
zo<0aq)wg~i_s8PuX~O}}CHwp%_vbFUbA1<lD(cq{a=t$lmm-;A-JaxaB)*L^{pQ^Q
zH&rsNk$C8M@^BFiJa1KUfW)`C)DNer;3&1dJ4t+tIKuRKxdH1NqsG%DzNP$5uv~<b
zr4Eae_;zmm``Rqrc<pwm1e|NRx@QV@G8=Fu@o2Q<)T<xxhc4FMlW<nLX4?R4yzEqS
z9KNX;Yt{|(oUHM<1bg@grZ&O*r`Rnn!qrY)Qnhe&rC7Z=e6Xraw*r10>6d2)Z=j`}
zEQEDlgl@hCvsQegdj-d&ep|GIZ(lx`@B(gqWhCeVD^*4xOoJVt=CU}$rIp{S65tW`
z|4w<rM_tcoJ%N8yxg2zd%lo5;BjLoM=}Y(EUsL~Xg~NO|gT%ey@WIIVJMhHNlCdAW
z@x;ObPxz{jvYHRf({`%L5q7$o?-~dz`zC8Tko0AWYyPl<%gm4^Tq}PqDh$5hqk8K)
zyhm_@RS+!yWb}z1T(ZgNQ6y|RFLyu(-lv=86AlaQ469UwITNY#AHqA{jcTaC3`1H8
zG4Llf$ssxTO7!!lcsSr(pu-8cwe43?9IP$VM=J&UPs)v?z)dj+VkKZNuAsIg`0+P4
zp#yMoa?g4i{3WunbU)11%su%GeszLfg9pwnGT)UAzg50IzzLW4<x*wBv3kY!Y%mWy
z-|lYMRqkX9Ej-6>K-~$?-i<a{|A76g`1CV0<(LmYu2h?bMJrnmQNc1)9D~Dfy7r|h
zZurj@w>|wZ&HC*gPS~#EQ(gx=nG{7W08d$rpKOD96!K>IU<<c1UGL$*v+p^D;P37_
zSL@+~@gH>iVUyX{|H|PggFjNDaMziN`(?22%vL^OSdWv7BOhjH<kUJ0H#G}nzJ!g^
zwfBj^C(}nd65(PFeVrq)%Cjkxcv#RSOh^KLxH~H_2sZT#y(kOIn!WrVNB14i)%V8%
zT(UDGvPVcrl99;H$jod=cFD~88Vw<`XR<OfvLZ4gqEco^iAqHX*^!WbulxJ+`8fA|
zKlj{w&ijn}`M?ngpNTKgkcU&`7%OhV@)QN0DzMrxlhO^Cm#XEw5)n`5Ip7NyPgX~r
zfDI|G*m%R6xj$@FVXLgek#=wd`%s)VT>o8y-3I<Muo$2TyK2WhJPj*79x2j?-%Ug)
zn#0BRD@nR=c<D@^K1_b7Y2ge^vig2r8}6g(AF+THndL)N;GfGCR2N{Q7SY{G@Y5I1
zS1jQO<(NVl_|tt~Luc5n@Zt+eSnyuhF(+8+M%QT(xGg!AHwOMOBejnUUe?Z}iGp{M
zWYjUk(PaxsIq>CCR(o1_qT%QDEVx$f=K4-}w0J*NH7s}eOa9ht?9VastW?5v+<NlA
zU`DZMgJ-Z2RiF6+eB;S=`DWOjMQL^tc3}IO+zmIn)liMWeZniny|9hX3GW%Wc&7>Z
zXL!ZFEMWq6Gds380^iZ)5&jHEddKKa!`mf(>L1{!)>7+Pm|=*l;w${o+bnh&-kn=|
zd=&OSE$zPumpJncyo1v@nh()6<NdvK25mQ-dOL|@7aVnhIrlki&h^@d9lrBXvAG!z
ze4J*@26t%G8rQ;B!4k1NaOhplZ;xS;-T(Z!;9A>fKBaJ<PF&$Wc!1V`tQh{)Z<W9g
zugSko&4Ft@XPQM|Zv~V6S+Mm=eX%f{*xA!~2WI=LJaiED*=K$-2|npd*CqzzzoL&u
z!dpM$7Np>JFU(zU!_8+cM<n4-Yy&%jU^m$j%A;@!uUY&xxFx4xSq6?9>=X2Xy(f71
zj>C0FPCfR7&uLH7D8L0Ld$caYtZV0ws=>#1=)S)Qk9sfDDZz?X>i^7PbH%Ppda&PX
zIWA*(Peh{0Nm!n|=8+D3AjzuyG`#U8vquAVr4~pthb?_LZ53fb^KUEmaOJbL>vHhc
zYR;%FTwU(Vd<g!s!?-mJ?mBDzQ2@4b&3S(tKAQ1SQw&Ztx@(mMKcs)Vv=63OTJXw&
z1>T=LFAm2a`?6UBZ+7!g3Bk(@YE1R8BWIG=K{)@(34<B<#-S}dYUF>#H%EWKfjP0W
z%&^Tmz2gErUs3JP1oL~{HJXFRgSF_XVa3#eYrkNMnai0JFe&ZXOUv*y&$i_DE3EIW
zU$&97VEq59p#KN{Z(IA}Hp=%!^?h4}e;)K7AxHTg(pmR;xPM<z#SZwV9!uJ1IAyNr
z6BRtU`{4eM@ZA&QuPBJ)-?TOk!0~=Yzvy7YxgniCxVU3rbQe6k%XRb>{K;W?7c*>o
zGsxv7%=E}>jS*hn!Mfuq99k2*Z!awNMmX*X%te;4P8_fO?^Jy;OqriA#0k@L+Gsw2
z-HU`6+2PF2wUI2ipi=rcA1tc0(<u{{uBhJ61Lqs2{Y`=!_*+bc;7yLas07%1uafdU
z*d|t<F9O#8rS2jMhgPbThr#%}^5!D&`>-Lk>+t0R&qEHu9Xmet1;UBXn@@|u7d}#N
zT!vlp>TgNGKl5pCUxLf^Wj!Qe$>KaNYj`n5?4BH)*qK*y9(F!f6fOfdN-8Lu!EAG>
z)r#=1;-fvru=jjI#8LQg!NoOI_=iGZtuoByY8R>u_on^MISvbuZtj(X8;m~nXu!k#
zzY3+{_4dL0D)4B)zP^3%^SxDXv|#0F4l91xim5DL9aj9L6V3>8Y~SoZ3G1dQ@1chu
z3~e`R!_uNd#pLkf!M-1cu!wS}+)g+;qvNSAJP`NCdbu6XH#%v?81`A2nO}e_a_CF+
z;AO8zW$)octKRn}Fe7*Fu|c@ry0?@#U)g`XcF*A#4PhV5;p^^Cm!83A%66q1!Cl)o
zDjvY%0}U@MU=BsM;{|a41<lY?@M$jz`~!Q8$Hp^{PQwCgoDmW5dK=X_BA#8>_2WfY
zyE;3Zh~GzZ&dC9mc%!04#Ge>o*{=r|#PoO(@$K(-)abxx)P0W-^(oeD@RWq<-mG6Z
z0~f{@kVwF-9f~wW{HWxtF)bWpS|v-wGt>=zrG`6F+}DV5x4PR|i!bqe-h~kXB7Sd(
zxA;8#r7L@kI6tM>zL`O|dx?bMEG()>?>7L`IQ8@r_bWZ>iA)1rV=1^vl*^9gKd*&@
zccvB)@%&{U_uPTMt$ph!&Ofcxo|gzKt5WUPfnTQaY8%2LTk<Bv{qR<&f3F9hT|IbR
z0sbRrlDGZ>?e~*vi5grxp>=o--o@g(M;gx5{-n|fuOxV@631(@4))f=5|q4c67bjj
zL7gyIbB1P~XwT0wdWS;b|7zkji2f$@Uu~cY9As<nAr6~{R#Pj%d%N-|1mIsLY>UkB
z&(e!h2jKK1*6U0#lUvDSE|{5ja((nU-lx`_`$F{B`tYf+PjFY_;DcG@uPCv6i9c;v
zzi+r*{SF^`emiFq{>7JN{1vXaW!f<Vf3;NHKMV^b9#NQs>5lpR9fYfxH|;*bYdRbQ
zJ@8iY;JZ=Sbs!??73`j}p7;{(4w1U_3>Hi2B6|%N&{~-^!!cc=X)SQ<3rdkXI7jvm
zO&i?#O^%t!_sL()vm0QwoUy5g@K!A!QxkllQ@^<w-gDuDd@20Rax3vZ>{60h`Vek#
zlDkffA1Os^$^~#Mby)EOxWME{?|pc+%g;O;9yUqiy$Rd9Ke<^5OCNjx@H*__)GR@a
zN8g{z{<DOA7+1~|z_%y7V$Q;aRWc{?;NFNXeq;FRO9zh<IA<rtBSTog=E1olSdH3B
zLksTtG7we)Yka&jpaIW$GkX&CQCFLHRD?Y)9J^Ny`?~B~m4|8P{cl&n-O^Vh4#Q6}
zKT^MjgTGNpi^4R%`8=I4ne4-CDVQa0JNpYP;K6!Q44&0L81)%`v+X@90C#*l`;B<s
zd7C90-0<J-Tiw$z>ljVk9yr>)TK^xMnx!sJ4=*-+IQkcseOu5&4vU&j#}ebwwX2QO
zB=8$5aR*9RjwE>ZVk_pqOycqMaI|Se&Kz8;tsh7WAA9&ydIIKrs$EEoM-yk3+QwkL
z`AZ2*@DFA)ixIe__d?TNcz&<N#1NeE=lTOySWmjq{|)@-#FYVVxIEzrWe;)u<+!KB
zcxFS-oB0CXweQ*wqCarI;1q3xgH_Yt{(n5XAJp6c&p3o^??<`LqX4}+SoC`KG||6`
z7ruNghjZvdSq{Pn%!k~{;8MQqf5dn;x~8}@AC}_2Au0vGs5zXF3o{%@+e3^`y>)km
z(um^|yj6(tiSJFs;}rP(-54>VKl@27YQ@6LF81cc_#|`x%eyEz)A_3EF?ifj^KuC6
zUS{B;3hz2}WIYJxaJ;TYj8F3uB>WykyrzyTF+Qzq&6c~ubRBmjlwcVaUKdk%+wkp9
z;`0~S509F|W^zYg64y7+V3~0oK4o<^oyZS<$rtHVU{2m%52F4rXhmfY!H3vcHHq;)
zjzY5NF#O0v<1mpwie2Iq55P+vF%)}Xu7UV+F_@Kp^%EnkysSIK0sDPZt)hlWdbD)7
zVW%Utx5?qZrQ26%;rU?-D`LLHy!C6G9{xes#k&rxP?O}YKEwB)O$AmL;nN=$cCW)4
zv)i@Ae6H}t@|#h3w%;;(9PZlvN%b4tL-IiWBdo4}AgKkuU`o$G<fEg4yU5$%t2_Do
ziF{Pfu+>@w@A(~D*bcvU7&=l4GbET^YlAz*y)4t=w-)Wjjj+$Uc5fzpEki=70j8w5
zW19>oUdm-A`s1zRj)N(1rZW9MqCYpZJh~JM?_v%fB>Fpz-L;W;*z?*-3z1KLoN0Hv
z4Obs;+7k)Wj`ztV!n^Mu+i@Fy@4Tlo0v?hmeIEqxrR!CQhGT>!+OET?G)#RV@Qa4*
zyZ^yeY%f*A;4Y2*AwKX-1jYMnu>WY<X*YP3v{ow!?%fj7aDn@#S3mv-uV$vPJHYw9
zIr;%`ih(G(9ehgk%eO1A!fMvYIe2H_Efa58;Fxs#8Tg8B+mth`GgX{nOq5gEpK*h|
zThzmi;3N9ka}Mx6uP2r|aEXuNg-dYE=xJ>&IO~w_$_2P2T62Y1zc@b0dv6cRp8h#1
z3;$Ujxr|l4N`<jq^&!~M%=wcQe5H~u=OFx$G}pr%4z9Z8BMi^>iI1Iz|I3%Q5rjEc
ztbL7Op|Xdv+_3t=A5+Hg$-_1RoUqmlj;kl(!f=xwS~%E~>w+Qt)rG!+29~?6x1tHB
zG=|6SgpIb^?RDVwBU%AF;7?(z>ngBiM62Nj)|(TK&X?8U97o;#Yw**)7l~5v{kV>;
zc{p8IhD-(y{FU_MC;WrlI#nE&5oB(jfSX=*Q6GXeMyl?7gLyu3OYy+jpJkkh_3*&%
z&^$i)jl?dC4@A6XsoY+8_Gp}VKb$s0Tg(9mztSM<f%6_%^i#vS1>M6hVP$;blNJ`9
zjIC^i1(h}~Z?@q3o_9IIpTN~UMxXw|)zwxhxiGn5V^1o~=2ZEt2%gjOuuOr~Zsb@J
z`va@?D=IE<m+N>~0n8Lz{Kg3$yutZ45vGjvC*y(1eAWM^!HSL2Nu02P_Kk-L@cP$V
z<A0iQ{U_3gQehoERnOnBvHDbaJY4lBy6qiYsl8fx7v{*;KJ^xsR+9H6;;n?Q(>;NA
z>^+`C#E&t^XV$^{GH=@xpWmn8aykpXdNMec_<TPn;i(KbRVFilI3KBoTwoHMeJUZJ
zsLw>lJaq!RL$)M76FyB&l64!dZ%KcW2VWbn77v3R?o|~M_h;lr`?G8CU~*O;aevfm
z{R{))M5^AReE212=6{#r6S-9brLcXD9>pd2oLpyfF?`#}D*XaHaJ=NlBiLP&_P}{q
zspr{XIegWF=cy@tO*M171}-k>&^3ltJ1b`%!<mwwzUaXEWw%)xVfN-wH!b+A@8h4f
za4ktmiY(msCzzGkkMaFvBqR-UDx{J&!Mw?K4Px+RaXazn@R8S)+6UnHi!o#^u#){j
zkG-(nhLJ=&d}s2__8wUImjlNOc&&3Rkq%z}C8*H_7Ze2Z?}GJm4Y*#x%o#;G8&9!+
zsZOCu?Dx>W(ERWlUaPQMBidtkM4ZTb*zp`aAJJZa{XAIr7T!;Buc-}=x*L>H3>VDH
zO?JR9MfpS@z>y)c=ZN~A7Y&wmfhm}pLW$!&h6P_b!B_UA@z=u?5>~~^aMo9PU7|kB
zbfia*!+SbZ2diLtd-+E+un<MT-v)TM(-$QwnBoWXd*Xgy=2>w3-Gu!u_1ZGxdAvWU
z_2Ca3s_uD(c-}PEEt0>&`;T*K6YU{@zL<O*R!mx;&44wPD_c8YU$N}*B>1(_mQ*(^
z<aOIM9G;Q+U6Ka>q|?#}g1M)Ta%IBf+vlhQ;9D7DAA(_Nk~>m2;fAiCjzO@><cA}U
zu<PECnceW!SF@I`u!*p~KO<}t(MazAvz2gl%r~O_3_YGW56iwZIJN|*E|fMC`;9xf
z58Hl)xfqM?7{li)&c7XlKa3terw13W9Ej_H6Yoh&oq!W4jYzuT<y4(rs&G_|h)5&M
zDrz()54Wo5q&<a=IluPG!H#W54%WczkEaTV{oTALhFNuR^3~lp#9?h_{`Nw+caqy&
z2>u!@Csz!2G_P>-!X?@>cn^v1d%YrGVS|6kZ`dWmKRorjnPKMX)~K8CfWBQGE!=sk
zdn*J!QBZf43f63m6ZC?Mjr&b@!0x%pcYNU5r684m*#Djm@jl=R4;Eywt;1sd-s$ed
z@$U@D*5FkU6N!tkZP=}<DcF@ni_ryc-L0BE0Z$AG<lDja43@s5FqbXs9!I#eCRgzT
ztQnElrw8X6J!kHRUGBuI8p0Yq^X;!;=Kp5n55gx0*t1&UOosj)l5mvc9s5R@L_zN<
zEBulAl|nU~WF{uT4m&I4id4bm3tO#>aLUBne<g6A?~oKTOu8u?lLhZ(sVM&X1n+|j
zFWKLP?T-g>jKk;W_w9{?dBjScTH$v)-50`P?r+{B&*7T~U3R&{QR-E%tl*sJe@A>_
zPljLSmc;Qp#DBQLUmN}u9D}*ssu+FX;ARDxqcGL4&qHo-cI(we9#}~JEC~@GOx=8g
z3yyf3TTR4oGBx&YG+@77nCUa|{wO|i>-;+Wq)f2W6ZSJ}Tv~v&+~bys_eV|=8$ok0
z#X{~E;{8$OsRot_IGUe|ig+JH7P6W*279KnuM+Q%$|!2&M&KEak0*%tKeX2b&ELVv
ztv{rQ_dlWL6Vu)BRO-DD;{If+Yg4_3?OY#t+<~V(X);^j*2$k@-{B)oQf>LL#q;64
zV{qx%wpk{;>22n;2**FB^u7z%-cT~1C*lviql|;KCVj83!p;KkQleq687t=%c;CPK
zqM<NPYhuy{EPXPk;U?VF>>ot5N9}MoeSi2~`1?KzwBPi@*3RB=$m52m#QT}V7l-~i
z!z~446T9HyeS)!0uwd7V0c!Xl+b@0_IPBo`1|v-SX5x_*?4j2=MGv<K)M}W+TRbxi
ztgzgXg108Ht6b+6(ZAHDd@kz3A^{VEobWj#+cj-iF!}`(JKSb}BvJ)7J-BGIA2!h4
zS)>5ByLK56{W-Dbox%}Vsr#cZ(ckHgG;~VBS`@W*qHx*YC@T^8Zsd3%@jm0hhJz*>
z{PQzcoE5C(A6>-@%at<Rh=8;D{?ahPQ+HlE6ZzAV`EwQ(EY+AbPK?)6BU2}Lz`fK4
zed(~eQ^)9fJ@P}f5Fat#dUfpCT7hk(`e`4)&mXSG&BE5wnU+Mp-xYTB;Uv89Rb7V|
zUyYt|sgA;P@}z04a4Vyc)i4~nr|=dro^0pHEcd~u)(-w1gvV@W?sdR&vR%^yaHZ0~
z;Z}H8*D;$PM7fpI=LXoqy<dM4)(JDYQVH*UVtelw{HohHwhS(fS&dkRMNcXT<ini9
z@;j(7-%R<N-;)VzGPTc<!*|*fZIa>NH>}w&!-q_+ih9BZ=QqWP`F#_|&6EJR>QzKS
z8N741Sc*M-GD5ka94^WcCUu3Eza*=7!8Fpr$L!!|@fH@u`bf>(zt9<8IY-w!24~9M
zF(Tsa5088!_JcUbZ#TKXX8J5a#C~>b(SN^e;V(?{Nju@9DMxD}UeqIwhS*OYmN-m9
z#A~1N;vv@OU)H#MiFi}0ySp@Db(NDH=ZSKk7+zw3w724rj3YeiLp9+HCvUKAoPl>|
z(*JRVjVRY0h|iO3y6zqVKiT4EI0yGo#D&~~EfTi_i25ifxbWYH>t2^s67k925i<Gk
z(WPK+BEC{!qO<{a*FV>O7PbwdebxvUZy%B(;$ObbFPns;y!=B<VY7!Wso!Dpuo5;s
zxZiQ0Wfsn36)Vtz<22Jsr-|buEag>UOOK6#MY!H;q+JQt(|y)F4>N1go|A=LC%7h8
z;r__*A4lM%#&7*AaC&pYRWX>pUH;DoJabNp<^Xa0-M`=0VZKHCEIwFk_bFPEXUKn3
zBVs)8w^8QxzbG&MNcU_H%-3nlOOA43@tgY0@MePGuAQ*L&FXJ7aPFL&6b)=FCge^9
z>&h=vQ^2oCqVN8$BkrHfVLJHA#)jZ3yvTav7g0X;B<b5nm}9k$lOE>W*x^15A9^~_
zNqnA%VMj|Hoc(Zni53>?l+&+)fBv<sA>s?EJE=3_51rRP5$B)lkh_}(*M6vuBI3Ec
z)~5c0kJWcn5%HsL_C7vv=2b;sBA)Z$;$chp%TcX+M7+J*`Ia-VU|g#;C9Kgs8K?rQ
ziL`|i*T-sNLahYPCvwXX@wWsi&T_%r%1l;7eD|d16g#X*@<N6h9%<-gpoTq69$7NN
z&$?vpQNU|fs(i%#IzUx_X08_Bw~5=Q#RR8a5SW^QLqC7wA<pM0<;O4rZ&cTvV1a#y
zzh(}>-l3k{#Q7ep%D!xeS$Aq`u)&v)-ZOpye>5TGVuopCmjfQdb^g6-9I(?>3#v-E
zT{oJ86?S7Nlgxo<_nuPahP?|In(x6nE{yE#@Ia5<WHkKpYmYJ?9QydBS0o(w>dH>y
zd?oH`l2_nXb|F!I_-A_FQ#W`=V&5E5F15xTU<U7O^Jfu&$u3@}G=WRH#6NJt<~D23
z<>8Fsu5F^cj?Mg(9L(RJ@ty~cXD;v;hTY6b9})HQxT5}31b!%5r%T))^Dlq;wrkM8
zM-B)P&tu_joca!wFU<%rk-@2Hl|$<&FUd}s*+P3Z*-|^X3Ac^RZ;Zo2g4qfw@SVqJ
z_=)}}uEpMw1UIJ#{vrBn9gY4{FkH;}g_r1Wr?0)d9t7uwkggN`bM4)Fp*uXn*q}l5
zr`yeAt(W05!>=UQ;6FZp&1_-*3T_LcKk=`*j$eR<yu{Qu;U{zv|5?C^Pp&$V;(FVr
z*2v6Y-hc=*qCW;**qx>av$4t#YQduavU#LoW@+soI`E0PfJjA{$71X31z0*xO-cr)
zO4;LX1Mj8a$T|+c*SREL2b&-Np}+@IWF8c%fw%Rz`q<!{uSU8}aGA0A`8{x!MeK!U
zm`(rpYi?LQr|Q;An6{PFoD*iV_Pp{O4sSX-vm5p+nWX*-3mRzhP{YGC_f|i{iBUJI
zNMMpv!xvZJU$u^B{#0YXf-}No33gMtKeq^buswW9(Te{0);W0^zFI^+LIuZNI!Lk%
zb6If+v%z-{tg_F+L7D-_*a<6E-&%zu+Cr`Q;HakwyH{X&`Dt$f_?3p?^-Z|kYx|ib
z92x%i?i$>rdik9cyep=D=RcU6#Aj0;9yW-G--3fICm0mr_}6M%WVrr9o+TM|xNx05
zf)uu*c073kPMU20MFXFB<LRLXFNDV4q=L_A{|q&NcTH)`F~S>68zp9N*$QO<J?zHr
z*J1&$cQj3~!tL`(yBuLsLD_#yaFISc-zC_`@5f~h_(Ap&7hgE`zf+;a^AQf=RriFq
z7#GWk>tpm3bn=I3m~-Wc>l;=}H~kN$^I7a6?zdB3dcbwqw?FIbZ#cn&!SO0wmNY*<
z59b?_S4G194r)|0u)LA)z1#4wYe|{k;I>}p=W(#z%FzQ~;1^vV%VS_Bm&m8@;o-@~
zjSQIFqx*e7Y{e!rnFg;Y@j7?F0#TcXi(p5*VR``{Td?CUgi|Jp_BO#nN43=-!jn?U
z1r6}i)C!4GSi3$+9{+h*rCQrHpaI_RQfFKSFMsNDsDrz;=%(`E@`;<3FJU8pL6U4Z
z|KYdH=des^U~&p9!VvbOAND&N_Amh+rx|<u2F@NERgHj8Y^a@>fIl>uPu+wWY*Ho1
zVbg@lK!4a_n)m7w%txM?><zPqUb(mcPaIkoae*5TKKMY^hWE*p%Dwh*>5=8<q_Bxd
zmaQfHY0Q#=38u2S6lehtbLDT)!&f9;GZ@0Nf~1<<u*SqKk&`e<(uu>I@EX-rlPWAL
zykIT>AHAZgqYSep99H9lxmNFgmW3zY`Nv4Wr@t7i9fp^^>;1&x;D*Y`18|(MMb;5G
zNMR@2e%Pli8Sj12-+UZPd0<|RSA)uMX%fi`c378X$Ft+Go}j~NCU|3Bc$Xf0_1Urq
zEgZ07xuyfVJUC5G2FvaDRXq(ewGDIsdyM(0b&<F^5&uu6Y7L(JS^b|q9FSVmxdh9f
z9k;cGcZl;`n1<g+TEG1dzCBsJa|}LYf4kWSzR}K`It(A(>qi|5^9g%D8ie-=Xa2eg
zU$*?J(GBYzxuF~ncO4Ts{|f%-lPwwx+rGN9)C`M$^6|-plLh;!pTL(*60OtW>y#>4
zmGJl7mZe2-;<#Hae)FgDt=T)J5bovraxx#@I5^n&5Z+{4exD2T4b2vo!WSxSozq~Z
z!R)05n5peXNHR=Q_4rdA{GxJ+EgGIwrXp>D4PI^LMZnCQoO4aE7@OPCn=m`4^X?aL
zY`D*h>+sc;tAAVJ1i2rlec>vH*8&~zThh7jUa<T7*>&Q0_Lu=WJ2+|i5KlMkRQxW@
z8eWQ2rS62wLbN4L!$#~kCHmpf4ecjpFcVEaSr42wEHSPD|EKopz#u%4d(d4C7RcN)
zOOz|lg^C}5FV(6uzJr^#g6oB0GpV!6&)`q}qoD&;7!RklIEeaB3l6Oh!tNBm+8@Cd
zM{k~d4EOGx%`Ju-**u$T;QOV`2DvcBGCgB5Ou^oAfOsD7&aa20z});#-Y3Ak|H9vS
z!-3P!D<k16znygcgPC|UyomPjx-go;3N{TWHMj=9;J*}L4U7CvXC&HFdQq^P7Hl|C
zIqMFeEVL-qffs&XXmf@agct^o!pn~W?%BhaGDo!(V3SKS-q!HwP=bdjeB`Hz;Tc%u
z)w%EDu)H>>uo)cKOhd;7Z>AjIVE|_ezX{@j{gkgi*MjYgdykXD-24x+RA7hW(Up|2
z>FlL_(y;5cx7fQ%%wNwO(pG?VhnngJVC}AK8X4GGvdp^yUgxqrqzH2vt&r5gDHTH;
z$6)(0wL9gog?F5?D!gtP&R+(zkkN<{{aMm*s3s4dQFv;o2^R{otL4HSuVoc9;9g&+
z_o?s`uZat~@Sz7qwkdGy-}Aae|5iQoXDtTq<)rd3f@8kRghatR@@||X>Kn5b#ufrg
zN(%)M_oL&}v%DZUp+3Xe1g<vNebf)0YEq0p3y;R>yzqeom8t@Xd{JYQaoQFBTVs%O
z0q+0%=KE#1UHW;{c{t&afWIy5$9wJ(@qCJeP06j{YZ<*6ME)?UFHEz5ZU5LjbAr#&
zycaTq^F0SkFT#tPB2V<-kA{oCeBggit`BIzx!YD>y<jiWw~os2?`u<Jf$(+rKg)_R
zrKs7WAN+yUAY2;G<{D-Rg1?VmVU~ioUY;Pi4vS2-KR5tab*t$_!{!O(&jjH|rKQqD
zd-a<?XUYY?Z4o>}wCAjT->>YjcxJQ)eq-^hIJU=|3BI>)hf@kX+&w|U0Gs^1XqpVS
zPb=P`fcLHs`DMV=A;$b<u*93=_G$3Qzv7zBN7#Ru-2LzYoTA^|vj(fIc&8S?ntVdG
z^KcczNK+a7YVh#<Ec};Up{NA5q>Kt4hx>{%x+~#T);sjy;F!wIx(fJm@%;S{@XKn8
zPqi>V%bLV{c&(xKRW<BGVf4HQPLrhn*$8WOn;Le(YDZj#h<tE^r((PfKE>U#N#u(w
z%9ZZVV1I6|sb)B8X%|^Nyb*ADS38{Jx+}g0zVFw*_8h)*!%^@doTkIb*#*Bbw|i6q
zuado9B91rDXCF?3XK&K5_QDO_EDm?!d}YTSL_XA@^7s=A^GN0ky@lUJUAh$w+stk=
z68TVR{|oj|*xvA{%m;X#{7J!0m?ms)7m*JyI9}=XfW=aHB|pL^Qyk8^!AVR3oWro{
zxz>3HSm(|I<*%^yWL1D2tf6Pg`U(D&b~(=&mbe;xY#cu5d-jkK{Ic$o&^NfkzV^8m
zY;tZ}=LdW&Gtck@+>lts_Z@D&f6h-DP8#dhn1zGHw8*4j$5CO)X*gItFZBRCm#b*H
zNO*s=;C}dG#vSE(_;mJ<dLH=xK%w0#oHp94!3B@qI(=*je)>Dybr&pq`*QF<nEbl_
zEeg0c;F;@R*kn&B`*sE9XLK(T$e!c-5RMTAo3Q2Iz1K+L8|SCwSKy$_q=$uJlSg!`
zlW?ShE|(yz@x?u26wZ*LFH?cHt3vAs;i+={yGn51z8Sr4`078NFM9CnVQc$Wa8SkB
z&Xcfv&a3rim}~m@{3$pn;(BNkOn%pI*brW=nAlqlkBLk3TfrJxCnYQ3OeSYqOE`(+
z@ry!u+*MuD4t~#TW0Via82NMBz$=>_-!tGEK7Hj&aK5FFM;dItBUscCPDmXkOMq=p
zoHB5QYfQuAW8tlRx8$8+r^Q9VFnHyo;dxJ(l<MxI5IC|vSla^*+qvUJAnfs7+vPtv
z$v3~x4<>I3u<(Ju^wT?dz+bEs1Fymtb1D{H;Q%>T#{f9+9LFsOSXWmx@+N%qRz0H~
zocc7%`WpOKFjn3ezI<IZG!%}?5q)V0^X~O@4~7>)@0`(s*Yx%!MG(iIJ2asIhp2`+
z-Gb>2$mykF&wUax(QujXy|lydSMd#b;(U$!HD?)MQHi_fqu}+JQC~Wky{^ZQsGoux
zJxNYE-WQK(coFsEtFMT<2e;XL(D8zMd3~y*;T9=O;9-?U7L`bNQTemFFZ`@#_>w;y
z(|qD0QJ>cP|NZiXtA*l?1L0Wdk=t%?{oY?bM1A<L`LMXaJFXwM34*iTJ`~x(-V>Rj
z;c(aPE7CUbH|+^`qJHakgRf7+y$WfyNia{x))y1F?)~T71o)4;jkhi=Z7cOM72cLy
z`lk&WZTdV)fkWiXlT~0_S(e}Vu;+W1QU#cS(sb-TTp;yU`3P*2J0VgDA29uFE&*2*
z^RraI^b{v%h2S|V2f13<px~wNKKMFAjzBg1srKM5PWZ(5=!r(SyRtN8FU<R6@8JfR
zavzHrBYZ{D#Pk{bz(1~*4$j$Z7j1%hZdrfXdWd|u^hf_W>~V19@&@c$G`sNx)@Sr@
z`T+N~F!8j(#%s%3@8LQ8*Ky+WhK7X6pTe}EkDG|=8D%K(Z-K?qRFfXTl0KgI%VD2;
z`#p-`zru^Gm2ib|n`Qw_p;fJ%0}Jt%?aP7-J;kf<!!}df^qH_!X|#4aoKQ18n+&IG
zl040XW%<+F;^9uJrxQ_dM&0dfqJ1**h@FjvH_uK+63?^#LHPVFc;Cvqi^TKp5nr;s
z4gX}xR3iGziG;$a|KL+TahybdQjMn}34kkCep3+bkHy(8`3n5a?B_VqUnhp!sJvnO
z3uoRq!PiAN?m5G@&kf3KVG&9nCO25U@<<4gPm)%7kDZ63K8sshz)}W2<rm;@t@*lU
zFzx(nH4AvhVwQ*je7lyt?hJhC0w)WR&%`>Nbx*;LajZ)ka5QOsiwP00&GDMZhr)rU
zf2hIIs_X^waOA;k%M-9#R8G7c9F{n@s0at#%5jy1d#evQD8rFw#m`8<IWbrN$iijj
z2W9ueeY{Ux<zelQhIISj5dotV5x6JYbcPe=J#?E!3_kZfq?HZUont@30c#jVXEDM>
zUV0C>;IiN4M=9We#^UJZGPKW}=X;3pVRGax$tv8O&^P)5uBg+OqlSBh4>vu9qt2Zv
z-32EesBo@<m0ojgO_ySSnVDUu99G=q^Y{r1UTIz@<|kp|L(e*4&x*tEv*4Ebx6(cE
z#J|-m#Qf)KNdbEv;nO~bF|a*FdQ1V#^f|oZDop9{T*4OqeV;RinBPtLm)*CA@A<eL
zAm;Z)-Ui{v;3YG9N@D&PyzkJaBCN%2s$vMY`yYStqXgq^P^vAlUQM%gG@68?1XY<0
zV6EAgIWJ)SGCvtJ*n)9EybX3bzhi?acXT~6T?EIyk>DcY_YI%(DTKM0TD}tJ7wo-v
zI0k;@I!0;%#|OQ98VNsA4tPb(r`_qu1Fpco!;+?n@(2oX3U^p+TB`gMtRUvpW(G@g
zs`U}`<(<xP1}5-5y6I$N*nfW~%`w<tbiS5YpDaCGNRfl-9%cp-^Y1;RA|^cWr|P@+
zi21kT8@(@_aQG{ITT__2F*t)1zVt*X^c?)Tw{SlR%zA!Ho2aj%@yPgOF`k#g_+?8N
zFWlU}!)>lbhlu(XzLF5{f;r@Fog(JzLzhm~zlPKPoMI*FbCfg4y8^Z-7d&bOv+TT2
z@(`Z!eZ)vy&l2x5kxcmYr$8wic;}g~)oF092=y-FeEyW%pKimY%01%5^J_`qatedn
zISZGF@)Pk|LauNik2SLctYG6%c^T$dUzxRrIVo-qpMm+x3h6Gvx+3=+EMN+1#YsE3
z%Bns_6Lxl+q9oc2@4x`N2ApMZ{i`EPnm(s`1a@~2Aa#SwtSEXV;knmOMu_zWbv@r2
zFRYMYvE>1;^vDHs!xVl?gD&vv`coye@YkiVHDbN7#CuVe2Hrd;@WvgM$_%plQ-uA%
z@JEZjaJFgk%o;rEt>57Z>)JltJqfR!8l3Tm|2em0jl+#?p3jN)&a~@8`v4qyYWX|S
zAE+IF827<NCla3$>leQilE4;NA&lnB4Y);(f$}LVZGE=u8vNFcGou>*$=3Tb6khh-
zzrPA@jdFcStask8DI4a(Cac4f;jo6$$&XoZ^v{5n5ZK$sc4sV1MfLS7vEGrPb&iXI
z^MivM!r;pC;JN^KuhG{LqW?ZGiBR{0c??1yN5EmDInEd1w4RZ{cz9l{@V7mDr%b#x
z7S0*2jIx9+^RAEGfmed7+0Mec`~r;$@L%$7WgS?u)8$htTujo_r3oi=G1U<HV}|AX
ziVS>T*z7&Aep<F3zi|W(DBUc-3p-G3JP?4}>*e~0{PQ~R_Ypprwe?F;I(%t_&XNHx
z4Pxme_AA6XsDIGH!}gbIv*8o#ELX|kuNkRBh42n_dMZ-bKv3n;eYowlpybj6%rEJj
z`itRj_FPT#a3TBd5+eUS4V3!+84j#D(nYM#PB@8pe1w-ZM)QdMsAEh@shzM!()tTx
zJtk%(CHNZN-Kbyr5T1}bUf%-$3bGrhhKB|uG@imW@pPq+;NA`mmoiwCnyb4GK3FTg
zUJUaudDPdymtQJJ=fX1I0*0I5H*^R0X2VIZdS5<)w*!xsrNAc-4NkVgE`0lrCc}GJ
z_P=d`ljkJ5qhQaK{lAFy7{fg4=?GZoT2FTy+*2VD<Oj2kHq#U9t<z6_-}QozHPdhQ
z!sqhI#GT<hGE%PhFlEE{x=XP7xDnMLytQLl*Ba)_6hAozi=8aCI|pB={!f-zZ(X0N
z`)v%*zSH!ZhZSpV84Tc|{jv5x;l)DFyc6(*))W;nzUBJcS;@mZw**${VCtOzmL*|>
zns0V@;16F63`yZ?rjP&Kg*k7EG}6EyxUIiTz>R_r>K6*p9}Tp-#^G$n4|-GZ=!Xc}
zW%!lTRl6}bS;K980hTQ(|2+)%%jU^%!wiv{^zUHt&mlrvFg<U;{ciY$T$v-y3;aI&
z7J0)f_}$(JV=7q8{g{3W-19L%i4~5qY_NL*=l#BRg9R>5U-(@KlkSUoCIHXS+tNRT
zANbpr@xjTtY4`JCZ#suL3AjD;Uwt;bo+Udh4wHu-)xQfbU9b9c1kPo;_#qi?V+ffz
z3=df3xJ1KWH{FF*V3DL>!QpV>E5+SP@Z7;eY&YOHZy!pXfQvqw-oFYjW%=`{!{^?`
z$$G=P_f0CDgdcsWYP|x-&pi^=Cd!Y_n>oQ{(|dIdVV!LHZ;o)p<1tx%c+C8yj}=_7
zU(>=AcH_82VhK+#(yJT8Tax+7CNRxsSGzN?$f*|IQ*dp8jG+ab*S`5!8~#Qe?`{Qq
zsk10+!hibB&soBs*-pJZ4ojAo1=_(TOO93waD$KMMH{$OFn?JJ&N$0l<POjOZl{uf
z&!2yn<O;vLL4HpN-sQ+w?M)o-zguJ<tb6HOwkI59eX5BAW|`jq%pcxScTQ_B{B~xl
z^gsCdR{BQ<xM}=A_jP!!;=UstyjWbE7XWA3^2cozpgov>e|{4dzO<iX1J>uvuebqI
zy>l#If-UhE$irYAxy$kkunk#SV<^0PXGzZ_oRi!6F$!jCD>?lg_WG&yI2>*Y6218r
z?mh1LHWuEKc!0K_IR1rXOEkP5>Xh>umW?(4k_6MQIEb~wRaS3n<KS=qCQNEz|4&Qr
zQ{XetzK&KAKH^cH2;VqwO?e*<atQBDgRMNyBxb`@>Xe0d;GTOQp2Wgd2iV#(VaA<(
zC!*mUB>X<faL~T4l*@3_ZoxYluv2>*|0UQ}kw!8BmQ?sfp#=BT{WVO5Pch9UD8T-K
z^q$213hS|39L>l0^7>oCZCEGOF7Ojv=dH&=JYObvhCoGFyyD?6qW#D_|6Ndm9e0W?
z5$#+2<{zK_Jj^#Qm-oxTiLOI4Z{ZlenBGbBUt!);0a5qyeXpp1iZ8Gw6U9Od?5y=(
z{w=&(A%F24tP(Q7(G8QFocMSimeNe>Ce~}m*w)1q;j`VT51Zf)^~@Y4nD#_OSUs#I
zm-G4{ydIl)kyu~Od{sIw2}`8KsXT;7VwD_t;qQf+{Dp94&CoDE9HLgZkqcAvyxqYB
zld{x(Oota*9etVMd6k}OVtxDd`}r(VSn>V0J8|#|`On?t@T!Sta16}+Y@%>07w>1L
z!|lT0C=++ie{j>|$BM*yoR9s2`aJAK*TYS$*ZU5P*Db;qE|LEx*7sy3y<fh-^S1;(
zxWkKb`le&>vnv-XiS<~Ar}Wi+_<+gnM0@z}wTFvu;f^=M&em{<SNz`R@NS=Ny)!V$
z*3Ouh@P%MYVPgHIQZ`my4d0#(r6ks0j8#Sl>flQe3tx2zbBmoSgner{+tgsWoTQgU
zaL@O|3?-PX-D&PF{QO<pRbssr-QI1J4tpnSnje7=JjjZOfK7D*<iufip{>7Buo`|i
zAp$2q>ktZrnV8g;`QW8S{`6}w|KeyD7i_qDw$%k573X-k2NsArF6$1jW;_pLg55Gn
zt*qdJOwvm<aATt3fHj<#QLjn?Z&@*J7{Yqin*zl8t7pK%%@_`C|H$wc?y!+1Jqd3_
z@h+{xQriB$dT^J}Y$vh5H(e){r2s2eNR`dNpE*5tE5UtZ+-byqWBS&~LK&C~+fBrN
zq{Q10j-&9^TrJbju+OB7+J3laAxVZ9pYI=YsyzVbKEBB?08>!2jqZgvU-mC{!tX{j
zj5%Rp_U=w%K45P@?@t3qFYuNT^M%33tn;*RtD)}>V*X+<>de=ggZ_Vynva;jbcyMe
zHNzyiq8r3~=XdLmw+~_S!rHyW{6)a#)rC^nSA2N63U&>%3r~mRr_VDH^A(-{RG3rY
zK3ex};`rfA`Ui1v>=Rc7;(A_Xw=_q>bL@d4#QHU9Z=7*3%qs8dK-4EV|H$QQaQ>jL
zaUUG(LALD;w*_e16Z41a<d!KbIJ3dxzuj=2*rdrt_@QFh0I~j#-}t(A0d^0|o;UzM
z;3TuV1V5N_5I73&*sB&`2Rq*glQ{;<*V|4y!&-K_p4xDqQ~X~?nDMyREn@#uIHKIi
z9rn5>+jbiMz0ehO8CGg>cy|`IiJkiC3HQamS|Ro`1Ae&sdBB}An-oNUqTG!5?gytb
zx2O~QlXvm|XT9JI(hYNOSTwfa;#DG^(b9+LzxQSMSNvg`TN$^B{Wt>!xeLVo+5B?h
zC9(gPJjCxy+#mJK!Vg4#IA$p`c8jo=)1FMY@*%^YAUOTMIuT+&$e@zXAp(x-^m8bK
zm+NK%L*ZrCUcYkK``DkUXt;hNriRFWI%`$i;qc*rnb*y5#qZ|J@o@QzBJv)%^3tW7
zQLub2E&CgI@yC_9B-r?3huLSCk6{-X@w^wKq@9R-e1v|t$6YwQXQ5yYj+#ynON14U
z*)|aKvx^tAmx=cC_fN~v8eA9n`5MuFNPo)CuEV!ozfR}C_QlKlDUtu(#|=p`;oxx(
z1!{QH#K<KdX8+cEh7pdhx%oR6j?X#ex*MiR53(zPhfL}-iSfl$BzqtMmj1&YLCjB%
ze<*e&?$6Vk*Z2ZqwtaQn#QlxrdP_^p7rZFiD~a}}Oc8aF7@wnC3XEOhInEIiVtoEE
zTRUkFdrkP4=faiZ{^93g9^ba~Y<Mv@n$rw+;XS!p4cA^i+@ud55sUs-1uuzc8J&QQ
zbv|&n!lHT`4k~b8A}dV`%wWZ|AqUgu#|D3dPn<Opl7MXrpSumiS4%E82*H6jS*BLu
z)h(~@obaHc%G(t<Dk{N`8GbYF?!@*I_1(uLK?!f)i8I>+r%Xt-ZD*tZT)s7X6dv|G
z|KBpa$(%MM3sXCV?3#gxr5z1TU`o<AGGF1|yB-Rs;5ym$jv-k6c#dc!yqYn?{Q^F6
zDuwkn{PjCWRU@qNZapR+{#n`ju@ZL5oAAF62gt9w7sEks!fGDDa$D7*`LNz6_uO(g
zZD@LLCT#9U_PGg`6ux)xF8ucS^y??^S+lpTvGCxVD`Xw;r$YhnBVgvUCX4OxNLA(K
zn=sS+Ua@zuIlJDCt1w@78QWW!Z!whFn{X7T$v3!gY`2IzOrNx>^aa+U({FNw*%vGV
z=HS_=-aZ?6Nk+nP7Pg?FaX16hl7{B~fyMXS@Hd6Ogqz3whMlGw>GWW_7um1L+wnf(
zx}bm-JagNvdM6y4Z(FMbOUaZjFv0V$nmgs;{qnva8Q?+HZL7m@f>|Le51g{3?<Ecw
zrMi-G!3Hg{l!EXT6%xLE@Ua6`3H<Q=(Dq&Yu#VY^5IY?D!1RC!%)rg^h!yVp$-YMz
z_J3feK~Fd`PwF7d)8o~<3s&sE$Rh@Stf{fx30uzmRFHxl<@<k<z;lNm?Uy9tgP3ow
zXQ4l}OP-K}r)<P`t--VOE0Qv>KBas19Bj$sZlDO~Y2G?83-kJ{2pxrIYH5r|;DzIt
z)Ro~99o|nv@IPJAL&xDL7F&-uFlBtYo(3#S?!D0sH&To<D8VX?3U!a+|I~C2o`B!|
z(o?O3HKhi~RN;Asey1EbYX4yYZFnj3>&iV?F(_n$DBpjy;87^-;QE172WF+OJ{AnW
zTe&zwe4Zkktlbs3EWPHpE}WsFKIaCjyklx4KCc%uEHhZ#+w6lL%yooG+5{%oXvoln
z7uEU}<zc>$%k}#3f$fh0a_}J)tE*aY?7dVu9{BE?m^1^pIybMC6K?MyIZs?~M&J4C
zq(u2C;Q&Lpocj_L37n%NwnH5b)ET(ha}V>aTS`19;qI2vU0ty6dW;Awe13E-bUhRE
zr`WS6xMA*UHik7g+RbB?1wOsdabXZHP?X$Fv?s}(v(x?XgG&zOM0-4{-`e{CUU;~t
zYcG5)dHi$%%;BLHw;K*zys#%4mah0w$_`%-x|tmT+if1UB;p;v3M^iP)xEm>h<Lwp
zjQ|HYrTF{~T6p+{=!z69@!>l+GaS=sa7_|EEyUwY0y}5iuKJ#V@9(^d45x&H(km6m
zV7w-0e2M;bytt@kFdgefhK-e{u-i@>nIV|E?anHZUpP2EH8{al*TR@e;2bGQjf*hl
z)0Ovmu(qx$i2?k;dt{j?KU|g^sSD4j8`cx~s?Io1QwmP~EjCyRQ*5pF9fF^l7o`=z
z=OjsESm6|kz?w3cQNWaq1)d)dj4gtjj-6B92^Sb?l~llOH%dE5;Nsj@DGy;ao{ID9
zX~?fpu~pS@XzSM0DxAC=8%5;9J^?bu3AjGZ;6WXHiQOoD4CV?q3VICJQd+e2!|JnC
znM6L!Kb5QZ1~z#Sal0N~9LfLM4$~AK&u@WwLw;U<0WWeXUu%T78dee?!_AGescrD>
z8hP$Y`0g2(ThCxtyW^Eb@D5*=+*j~iQ;<R-e9L!Fz;pP7;%&P-Ft<_dolf}bbjMsG
z+*KtT{2JD1?70~U)6%@X_Xh54r=`6O%eWaw_Q2+Aj5#-8LG_t}LHLlhzUVc$v*=Rd
z030xPs@WTM+1z|M3>VczX?w!?QR`tuKKJ{T>|q0EWQ5-T1k*A0Y*@jE+eza_;K<hg
zSabM?Nn{C;-~AOR*-c^cAj-Q$ey=}C`%o9Y5fxcA36t(qmeYa78Yr^A!~fzmx>R6i
zwOdb!d|%M+ZKeblUm<xg4cjIJOv}JEegSQZu#0e!*AY0p_*eNnJYi5yDF&Zg`aH1(
z(`J)!3By5lrUM(W1qan5Zdf<}`P>e)?|^sW$2eiez49afP=2#qx_38R^FD8t0_6;^
z%}+DJ+<JS*$l$?ktDlsx($4X{ME~JGolde7W_@BpPV~Q;Z+XcZsmM>$Op3g4TIWE~
zDjfXnx(JaE$R2!FoP$YHKBx=AspX69GcaAehNJ-8_+#_z82npm&XLIX3OwxYpW(Z1
zW+oEw;ZmWU@8GzIr3fOwdwR&S^}&4<=Dx>Z6(fz(SMW&ML>ZCKObfJI+ThO9nrTFS
zTpqG8c>@2m>v&@d|7<e6SOaI+3pW|VHfq+JWkmc`=CU=cSEtKR1e=JijatEJap&{0
z;RYe=J+5$MvSM92ysM;UhcjH>VyK%4XK*tg^@nRs1un$E@5b!~|AQ+BWLHArls7eJ
zZ^2)FZ&3unFNbz&g}{$r@6PxSZk!Rejf9KbmIQs^$zNUuw_%BUlnpL0nOQ|>3Ovft
z)O`_F%w6|LhE)>YT3>)K%`--4z$8}1GnR0n;u*g*nCW=ybyHZ4=|=ej_~Ku?L__#~
z?(_5l*!0jfVJ(>LKz~gcydrS&kp_Ibk>!2~99Lzhp$H4KazCwvzmQ4v%EJ%Ltcxq)
z!^>K>hhdjt`xmu@^B8_gz;qskkE&s*`2#`1Fo|bjS0g<0cb-}heo8Y{*8pb}QfG0(
z<B?+n&tTd;-TT?$Rw03wX4sW;s*w@q5o8~E38(%jJV6ihwOX`4hfDO@hRNZE<0rp$
z!U=vi>~_N6KZW<ahV_qS{NA{W&l~dj@dp0$!tCZcyvM(4um`sJer3-hEVZ1mFbMbb
z9LS!78}1B!9Dv78Y95(@d1IQ^hGEvE&89JUMC$k05d6+{@2L?ux@hR{DEx+{Yh(z%
zVZ=1^2|lX-!|e?mtT9LS9o}J*y50>}&I>JlgPEsmqF=x?Hh*_b!-e{GtZlF_oy__q
zY^!>+qyZM&revOn+sVYG>)?-NO8;hIG4qqJ%i*7#bQ~+Njo<RAGI+dOjbaIQ-p@3d
z2U|R$<zI(=i)!6-;k&M?bZhYbns+<XV6R~ck-zY+JAN@KFj?F&mQC39-(CJ#I4k#w
z4)rU{mnH|LBj9goGcuI$qrBDEL2y1sAbNPSB+mFctgbMqNDFtpd^G6;`&&m^FvGva
zv^~6F-}CkAOt3?~6PYtCwBxeXUf9oRJLVD`LUQ*cD;%xNCtwX%2xvHP!@+h{rRQN!
zL61|Mu-x52Wiy!f<z5#7n3co6!x+}>P(RHFUnvbce-gg&W6E<sd^Co6N(<hzz;r<f
zK5|tyP#GSKuJjj&r<<OU9fv>N8F3JWL#V%}O2Z;mK0$}!gT>AQQZRGWtJ4QzI>)M$
z{II{{IWKAW!<nOlJg~KF=mja5tMl9?R`^0ZbAUYjnd{3EGu&#c;3x;T%#eodf^8Jq
zgOp(3%n$}@SdDScMG;<o^&k(oLgm&)uW)s^@Pp97?G)^fE2Vj<!fiGuTUX&h7S330
z*t7rT$rbo+q@$w-tV7A*H3oO_ehbot_jTRg`T`$nrf}7PKmYeIeh6kCxEgK*H>V47
zyn}an<$4*wj0HO7-EbK>bF3M>D%>pB31`t;I-Y_LU7)gVfQzl$gHFTRGJ(^zaOvwA
z7jyWqUCy;~_-dL__<7hom65UxW+(IZItTaflg-G3YfRq7*utdsd4jp{{IlQw*6^O(
zj`~#CBF;4VB5al{t(F2y{qqTOfHz0ZzK?<3^m@}>VBLeyFGRt{D~w*3V4hKi+X1i$
ziEWHKTovle<Oj>jh4{O|qw|>s?(j_8n<Q^I@)yY=S2%BL;f5!y*|h(;J$#JvXu3a4
z#UG((3m2$cg#8DbX+HXT1{Ul|&$$jCrD3>i0jtqAL|=t>$H;CQz~wCKg&{E0qr`AM
z_}E$L8#iE;;cpcRu!n$4S{NK}q$n>BkBLOy3WcZE?0O_&CXc7tQLsf%qqzjE>OT?{
z0n7G}&j`V8%G8DNa6g5-_dfUtyZZHL_}}4(%-yh7_T|(hc(L)55F`B6Jv=l4RvIUJ
zLJ4nsmt>{Fr@PJ6$>H43<G#tTwNjz;uRF+}_y5Ibz$1aHzn0*t<YP{E;avX{+~44j
z?1mv(u<x#<!ckc0PSm+{_)qd!Zx8G=lIoKS9}1K>-34=muFDhW3zf@fse+?AH%;!t
zCoV4BtAML0?e=EE`^s(4rogU-mQs1J$Nq=oN$|F7K20`kzPi3E1m5MFB3KAhJy*RG
z1g~{VzPksXXL~<k1*fpFF66^)`*__g;m7pJkBRFYrH&F)hnLQ}_Y}ZyF1)Q)fsar8
zN+8ZJ-=}zGKP+>ky_7hAjeF>ZAbiir#3KhjdwI5Y7wnwF5%~bNH<41IhMnxcA0y(u
zMC;<GlCl2#on=bI3m9*+Pr#pVsIU|9Wa(D#yWn}2B`G5Q_^yHr9k7yQ`fs9K;xj4N
zBRJ@l3R4k0e^<NUA)Ml~^p3cnUsm#Ll3@{s*af2e!1|Aw1bD?zvzoY{bfc;d{NVZ7
z4?V^3s92b!FPuSZQApI+)$ZA82e`p$tfdUDAm2G=3#T*NrV{5%e62`h3{M@NtgL{w
zTCOD-!dvziBTHd_y1GUsI7;JtUKN~odQC$S9wNDTwH)S@I^-$_Kg#`drv`5BcUcpG
z|HsjN$7A{RaR8^35R!(KABo7yPLfJODto4^B9Wa@A(B<uMM-2tR<g3omc3;rvNEz|
zKcDOQ^Zh#Gy6<zH@jd6dhuD~*)o0jQJb{$~wp48L$%DgA{7O6slc~@-<igfgn^M#;
zr|`oU#qfNocqJv=AXVg22p=<1*WCg4N3n;N!Ssjxhqgnp{yWE6l)!f$mQ((Pt=^J8
zt%SQg|AkJ$E%z?imcy%;4s!p7b?Dyu*TOw%@}Gaf?IXR8HLyz4ExB&^I)zYB6CC?8
ztg#bb9<+Yc09zi&G;V}Fy}rF{hec2SoUDUo47NO4Vf90s?&Wa1=jF(5I3)5oMJdcp
zQf1!(XF8e)Wxz}n*FFrxIbok=Q(%p0-;iH$oo{njEPN!mI%OPo=UXt0fqk7xBSzsN
z*ZoW3u;p8+&(koYhp^jAnA*o7Y7%Y~RNMaorsYk}ork?ctRwy5afYGTS@`+8KtWHK
zMw-581+F(t&U1&W20g<T;N-|ZgI0vAQq$I8-^`tNE#ag`zhD1@jec=#nZVsc6j|Fu
zdF|6aM(|eTx#&%Jc36*D7dG}Z$|I}6ekI>3UJGtI8y>#{){YB2bq%&m$SS6QhknGA
zD#4t$$3K$8k^hxx%EB8;B;_=4c6Rf?Ihc%A^wVBAUuWL#6wK-<UqcU@U)@?4gI&%%
z$fkpHudxO3!`&Qy4Gb_z91kNe>_1(Qe+Yg_dL`{BETmc4dIWx$qbAM<pFO%<!VGKK
z-mg6ji&AcM9fiBRT+|Q3(LKBsZ18&2+p)dy$OZoX<1h=|I~z(k>yZ9;PT1S0lxzpA
zx~((B2P^1(d$ApY_@>jl@dUiW|C@aUek9{QCIlN94kj<cj7+I*g0OlpnamVyyEA4=
z9KOY|RXqW_{HpsQ3P*lEs{aeNSV*Fjg=4q(TJ^zghgz1;!6JjgJKA9znF3k`_~cuT
zXDzUb>92J;cvp|&f8XKjv{eVL!dXiaNmX#Z<P?b#To-inObIM(QqQOc^Y6V}SqSeB
zp4+7YKOwW#&4Ra2H?V5MZ-43zWx%&A=O{H{VKEQKBsg_D>Wm5Obnvoo9316X!fgbb
z72B~y!fOVB=kLI;%G44f;D<fw{HE~t>W7j+u>Qq|m+ry2e7a>XV5_p%!WJ-Rpr_VT
zxHHvA$qw#Rzwy%(_7HHFuz{b_``AB#?O$I|ae_A_3^ttLd{%=q_u(N8zaVQ^RJ8Zr
z6PTvvWb9p7Y<of116GmH7dM8>KBn6F!j#^;Uk%_p&J{Pk;iqca>e}#&IA^C9FfHk^
zJ`MQi{XmmvaODXVn=5b+)pXcv_+;jwhdjLF7>P$XEF(a3NCqAV`1txAe2l#H-5Izj
zx$x;**m`hVSQM6eW%w=*=4UJ|6oT7xZ2jNEY07_<dEmG88HJzV*vUIa$6!9;lEgIF
z)gfYu8Fsm$^DP_B>QZrIgd3`ErDnpF#gF&X5w=^a$cG0Xi$~JH6F+x-{sMDWm<sNO
zo1D0YD&bj&@A&RF#`g(<#&Y-t<$C+SVC+{9<&W0F=l&($ScWGXzP8rD`zO2Srr}Q`
zwL80D=D8C)C*a<phQIBwqWI15LAZ$K+MYf*?%EEv0r)$u%3?RXV@@o)1GX=!+xrVv
zGw(Xn2Ah=D{~Lfu?ohSV!o4%HbfYle`DEQ1IBP|Aa~S>`H8A}Z&J8&(Fb~VS&~F#O
z1HU+!W?>_4#n4RHN;yb)1$N~9$(#ZE#Xe(Qg3BZhW+cK3K?~v=aOaz(QwcEn`1H{=
zSe@)={abkNt}OLE-w`h@ZS;r3{;?lrcEe(yMePFN6D_-Ss9|B5uWQfY6uS*sDp*2i
zCBTbF-<RsZ2%m`F8RHJ~{fja@40};Zi#owHX0y($@Z<85A_w?C^<TGG;62a(saV1b
z7X)27;DZTH-RAHik^juu;p*DY_l#gB^^Dho@bd9QH+{I*@9k55cxTMeehoOCn>|+w
zJ{MZYp$xNrpoo=(<8SQAy9C#id$h{Ko1?#L&ch2nrX_N4!A_1FlJJ9LtuyMd9LK^v
zQP@f_t49^q2@&4G2Tw;0&+EXY60iJu;KOO<16nXCStlzy{JNHr_BMR<L6{&59K*J}
zW(*fabd=M>2a08QZDH{QpLQCUQjg)VHOzCU_RenD;l8H4D@>Pf?LrEh>YfmJ2;Y2^
zMZFq?{=1-O;s=-ITwz^=YgqY|ec*d_!I_ir)x9!i0dW6j_vs1vofNJ5bNG|Ze@%n1
ziuQ>oZ(ugk#Gk!zX~VKr1guy!ZQlm_-q{uX0lqbT$Ey+M;%fAdhiAw>GgQGN^v$s;
z@D+hSG3D@dM|i+TcqLX?tPtj(4=VXWlxKe{mkT?uYb58u*5f1HY49e`m9iq(Q~Ho`
z3j9riHoXAOFfv?@g<Z!;t4iSmhXdSV;8zVkQN{3kkE4l!u<d#KoC^5m^J{`H;5tU}
z_hs;0Yecyh{D<a9{&)D?*)k<hxO#FRz8Wt2wRg}37Bns`YJ^SGMD94j0izegYGLm~
z--AqHF?P1p7PwquhT#_6Bb4x@0iHbZ<h(jud(tJc9sc(I!*><f@tu@UD}0M@?uG(f
z$x0R74Zq*He^d@`s|a-LfVWR4(ul!ND0Bk);BK?3SHkd!)WGc@un5ofuk0|HT(s*?
zI3>kd{y+GYtg(4NY;>f&_Yln8$m;PMmM0l7IRGDc6|XZ0m+rEEz7ysj(X|<a70*6D
zKnnY(v*?e&)UBOK{{r#-1osB}DR`&F^vPv7y-!VP91hL))E$9GY&VSm!eVjZzlPw>
z>rYNk!XF&@C|lt#Ih<<q@M3{XNE6JqZ$f$&P7(9xs)oZSy){>0yPh}c6|j;8HU9!U
zI49VZ1$$D(UtEJVrp_9ChLaBSu`I){UbOkdz@Hu!ifqEg{e!gc;8S<p|67N3Wq9LX
z!jso1C3e&z{+Siy3x(%rgK4&q&eKt=;R*Y{J;=2S>At;feeUpH^=`VIFr5LbtrL9x
zu?`O<yi|E?)d9Yd_mgBdyfTx|ehdDXtj$0Tze*|jXao!JF_Tfj6si<wb>Xuy0nGbh
zVJoUCE!dY!m3$xk$wo`>8f?V!jrA~mYesWO2_|2>xJ=|fb8w1M3f@RhrDlS^j8BA|
zf+grhMh?Q~U%M9`hqXdOH&|fzvWK#q@Xi#iaU%bxl&UTkm?SN8n;rHN`)0rdyMK3>
z{1483NVP}@8(yv7aU4Esy5kWooM-i7<`}F;acv(t?CLPMiw`!^xDY``<o7i0C-T27
z>i)J6fc|_neNh0mzfrF+2a}z)9whQR9cAbrhpByXS47}xjy<<WVOM9zVIg={PGhwn
z-mSStcMcA|&r8t_HwWZyO2g$7&QZ;<ChNihIe6)?A!j4J??yU_EX*~LmR|{nS&bgP
z43jvAoG*vZWyb7OfCWDcb`-!ha_vmYaMsJR8+ourz>D2i;XyXK`A_hHe-onD;Yz-G
z(iB+2FPcpkW~F3#6$|Sd)JPb@Pq>zj#K4|Qk2r3^KMdtE!(qqY<*Jr&K-ElX2z;{K
zLHaIyQ2m^iKYU%}lZ7*^pxS@?DV(RLuk8qL2%cPf1oMhISh>Oxa%&zB;CF^>dJkbm
zkE@65U^y*0Uq3jw`v>Pe*tTxk-Uqfe<1e@cr;M%n2f*yfGv|%rWusWf=kUKU*-l;f
zbpPl0H?XUG@rVYj6{8sx0sDB-Kez&$Zfhq-!v>3Wq?h5e>a~z4!U0ELorkBB{(X#x
zDGh!ck%4bJzIho7uWJfsio>lBpOt68p~pf>g<vs!K_(r}zxPLz2R6%Psmg(qEW-P_
z;N7kHpR?d^bhEasu!D0_O#$p{^JbM9)_8p}I}d(kzwm+{7UwxUR0VtAl!>B&*+M@x
zRKOKkuZ4EQ;g3Rp*TFL~Qu#aKy2%sG-(lAImsi(c;Q5I*<ybS!|5Fs7ltBDmAJf_h
zUz-UupM^OK9!_+?vS;|_rr}i)x{fwjGs)-a2&|}Hv||V^vHcP@2wy#PZRRITa`FJr
z5BRw}>#i}_B_%PV1D>J%H2WJ)sv?tXfc?uKkWaw}<6hR+!q<W+7baj4`~YtmtW@1X
zF$ag}c#MCA@4qoznt|W)|9tcX?pEX2y9_VX-6hL`EqFh#EWlHnH4&-s)1SPYJL)iB
z-04b8gzZUl_mRN2r^L@h!~C1~j+4WtdHLmU;oxH{`**=EuNig1;JXI;=je&@28YZ7
z;j_)Zc<JDWAx`VwFzJiay8pr7=gcTQVNLm>i$~zoPPOk`;9cH(?0Dg$HtA^&@VKA%
z4IcQL{Qe7;@Ydzy4kuyGUia_ju)RjSfdKrO_V*1Vn2o9T`5E~3tz1ieSp1%b^J$oU
zl9^Nk?y&t6a2|F_eeA0W`_vjgkbxP4Mp+bLjl*7vSK*3tiM$u#Z~6a1l;8+Qnr~8Y
ztS|L9U6`Y^tWg~9bZ|@2hPf4aO$6ZPO79=H;ROCRTORnw`a-!0+)FOKn;o8O{5xw4
z>v{h;zykMQ)9tf{%Q9s@(!(tA3KVXzYF+CW8hG_y`r<=)Mp5R<Zn%hs<Ww-+w6ghY
z>p8A(YQPZ)&lX!cF2i){MxmMTj&d`mKZMJ&-7;XE!k+YBaJ??)k9wHrpJ`ne93N?2
zUJG0B_Zu|9rsn3m2jQnl981;km}J^qKWxbP*6%CaQORONT95OZu13Brcrs1n$~Mvy
zyp>9mVF6y11ZJc=dP?-iz{#U-L5y&r)fd|cSYeQ@O#q(Ef4Vyu?mwYe!UqpdlSlf(
z5gJ_lDsZx@o%AEv`pX4|YcO}-zZQEqhvB=;UAV^a;<P#Js@!+|4s5~H=wSrUb(J$K
zHDG<BIIFQAwx!%7bQNyOdHIzIez0Tuk_Oy&YFdr~ZaeTnNDV&f`KpH&UQPSM9s@JI
zaf)7ihR>%s`|N!OU;J@GbPBc$;SH>Tn<V$@_QM55`7Tv3`TL6Lb~v_gvY;0}GC}^h
z0cMD>Pw0k&BFYX_!kpPJMrYu!LE|5a;c*h$mMPfGH$f@~ZgDl+Sc6l3rORi)Lx)C2
z|G`td_xcjyFx&RyG>uq~WlXGMV79kP`}e{^tsFZeV6F%sX(o90S!&u)n1goxI0Jl?
zqbbfG_D=eGhaaX^e~BNc!2SBnr_KvoKGv;$0PFExag&54w~uz-hr>K_?nuBQ?&Ejw
z!H?Z)Lgiq-$OOkbus)lBn=D*@&yvazJ|>k@q61&zntiJS&srV$s0E)mpD&~W|9JXj
z!UASU`LA37&Qj`YGlx}ZCbiGOXDiFLoM3@$2NNmyZ`a|8`|zH-=l==AEtM5#L*S-Z
zep(**NX9;%Ao%O6%{Vr=HSm>ND!gfxU2q8gquPBZ8K!;jqf7%Y+dgY+fD^rACP`se
z)w1F`IAzM|@v1-ax1Hwx3uj86VVQ<`T5j*3hI85ufBp>*+1)XtXu^6uM_1hg2Pycg
zlEcSpXRo)yioLf#aKP{Va%^khFh92-c337ReD^n)PNlCv5cYR6r7ML0D9y$5!$X6L
zA2Q*tusgpmz#5`=#8co|4yVR*u*m4ux>z`|i}R`l+*u_!843&6aY~rO4Y5p*pTRXo
zuYSIV_eb`9bb?jSr7p$6-246<cnq^gmx|`YduBA^o#A?`UzZDE$MKuA9`J_dl*4!U
z!1WNuM{uA%{j)mwbMtF2FPJ%<C8ryHMOhr+4o6I0uIq(wte39(z=nxxOB1m7M*Geu
za1FCB)f8-Xr^||XeN`C&mr0xPd74w5n?$<Yp+>`<urg1_o#(L8j-)+j;0{v$Ama7)
z)v3)(!U5mJIBj6PQ^G6?@UNi>0Sj17rF+*U*mrTE+!)?>HdRmqmduT8xB-X8D>JIW
z4NQr~n(#~dL$ZeO%)<+oDsV<k4&P1KT11&t0p_H>Y+(;)YsUnhgU7XoHEiJ%I-ic6
zf(2w>xVgjJttSLT;N;$;cU<8hPO0(}Fs1(U4<Ya!YkgG?_@*CoP!L>0Wj)FS|D8|D
ze+Tb~uKjxuX15lNdkbp?40ut)`}A_^lVPJ${(wC&AE$I~5}dqKmV*R-#bLf!47(4r
zfBxr(_2$W+{zACUO7hYyeEiWCa|`@v*LvGH{KnR0R}<XSeZYJW?&)X{=!X+yPTKXt
zR!njXz3@V{5_uckc}+lT7M^+9A65sqb4Sa}z_QD0Jms)6W!Iez*tKg}xCH(pa#3v!
zZh3RCCI{|#W&LnZ3*sG?T`d`~DQ)+y-Eh1xr)d(*Q|1-R4Da@HScrkmn#Z0o!uQ5s
z`9{DS8Ozzn;U8Y6!J%*}jn+F(_^gCK*E6`rMyFZ?7I3&K=nbzO$<7dhLtN}CTw(D!
z!OBzc_s>lV58;qR|8#Nq@PVa%JNRCRQ`bd!SKf!wd+^PO#%~v3wR;T@Z^Jt>WI7aK
z`fhd-6Zpi}mnHJB{G`H5J$P97-k2t=w>%!D3FifWZB~avuG5KJh1;e%NA%#CHT+s8
z{72KNQ3u{r{PfBNI8Cg3$N*0K+Sn`u?@8pTzd?9l<+cQTBxPvP0)BPa!%7&wU@16Y
z4!`zG*?9u~Z@zc8Gi+zVy_XYa+Q~V4AHL76@ty@PqpW1`g0IF^d^`-tSy1lqgf$B1
z&eFntnFE7O@Ns*ysRduOzv7pb7TC60P<sP@<ITf12vh6H8mz#TY7`Pfa1J*`?KZr+
z>|!tr|9i5xbqy~4XXrQ&|E+I2vlI0%{U*yIZ^ie2xxUn_BmGmy(sv3tf5B0N4C&#e
z2J?sE`T{j6qQ03iZ3-s%;EsJC$dNwLyHuhJJ3Y)&m_s_d@JOOIe5Y@#e;ig#A}_iL
zhe%Z$jlu?dmgDu|d#n3b`eB6~2l7o|fubJ|dSM|;(pV#SvGdrzHu%Q`Q|=vDZF4NN
z8Gd(zJlYf{xi8971CtrBWZi>Tw-!??;j}*Tw-#_%+xZK{aE}o~h8-+Wx?NcSn@;R_
zZ3CyyU%8$M>(A4qIl&XMdwza`+n)S;c^_77)pSUN!}pOSKZ1pQX#T~+YboO)4`2^F
z{TFZH;G)S79`LSb`{~}mBSvk3?(pe0!w<o*%5qDbH*BeV;6xxCk&yS?3x2w2{M8#C
zEY6I11{<`~%X-0VP7!{7uwke1kB9Ij`hch)c#4ru-vxfsY3CgPH#i&4*}#74>gjLc
zOwsIr7I2}NX!skrc$6%_1hzNb^EC;cym;m1O*pA;B=G}$^zyqCS}@C%w5Du0;c~Z-
zDr~sJCodBwkK?OWfJ4bH41R-`<*ql%!pl?)-%DWcxlbli@ZZ3y*?M?dy!Ea)>^>gR
zT?;3RagzwZ+&RlmJKK<-@dOJK+{JM^a2I^xPQCY0IL^$smI=;Qq@`nq_f>TKVu2T!
z(;src<C-i-gkg@whFvT$b&S2JDBPiFZgUL&7rS`<0xWBK(CI&TlU?2ZB3vSt{_8lL
z6cL!N3-@P+Sg^r2cKxfo4u9Ik-N_A)QRH?T!^{UPb-Cd5`J;2UVDhf*a^m&x3)ka&
z06S)6T_x)Cy4NE62u@g*%@c&hA1PS)!;|z$B`4r#K2@I2;je9CJR<OuHL2t`uzi7_
zAW>ib>C)1-@aV#UH$;1N(}_(a!=&*#F+%XXcPU94OriaY@-!TG`j1o@Tp+{~CJf(<
zdaPanx0$7H5$QQ^-v@NVwvuf=#Pw*V&wuEJ1Lig6iTiVD=wrhKte&I$kGP(znd-<S
zJT~^jSO&gEby##yJI+6Hv#iA62Jt#2O1S90K({o^ez?Q?KUj<Jj}cLx`()@lc9_%3
zsQxUhA|X934QqQhcZtHOQVtzba31T8dwg)-sr(H^xS5C4o@hUlz^UKzaPGmtJ;eRm
z-pjdH3w~L_MMLzD-MJcz>M$8uZX6vv_G*&+I_&4@%0)}~GSjRMJhh*?Xg8enDRrkI
zoIcTVmJAl1qi84cmtB}MU+}^Hn*HUNF|6;9Jv9q=r<XSo`6-1idXB>b#+Qf9;K?eo
zU8At=x>Mb4*ncqWO+S1~WNp9_&g@Y;(hKkG;;Oz2Us4^;Y=tL6;(Ki2f=}<nn&Fq{
zo6D?WsV9PU)$n}}#ZE_fQ*QifC45rKp~L~Uada6jf^~Av><xxx63)zI!dCq($3kJZ
zH;Foh@Yd4$<@fN_uDKhz@Kd#6<2X29POqi}{xPTKm<$W<U%gD!XIgtUAQje`HOQ%e
zX$4tx3g8<fK?Pso{b%SJir}O(OUG(p15%H{a`@D3pG4yI33S=+tAPV_uRQ96lN3id
zn&8+S-CJ$2^ZsF}7C1Fp(!3AOa?w`)0S|vIo$Q9+mFSxFz|r+=T0?LcQ`3WA@Ty7t
zkDqX4Z%4>5Y%oYFOSHc{-<1!4;I5g+l_RjNxpv7EJk`@DI0HAQH?}Omo`%|)lQ8GV
zU($cDk{gxJ1{~dW_uw|H>h+jn4en@u%um{ZcrEvb{SNepe_uAv?SWZD6qmP=ev|*O
zE+uT=9&NY>>0A_HmUM7J4b|{2xO6SkiynU6ZFrRi=BYaw!2}OntZAZxH%@6}u)vm;
z%%=~)q+6}!9B@UVTM^M;X~x%jIpLY`W-g*XC%=F2mk-vQ6Zm)-UM5c@7laR}y3-T$
zk$cPs0cp6}K#+l$|D2_IF3G?Kr(8XW`A?5YPwx_(G~GzX4!;%(u~UE>#h9&m;L$Pv
zZ@1tkm($L~czPY*^urXsaMg2&7;myGbVd;{Yt6XrA(-`Kfx;{JP<A3Y@%|QAHa$~d
z#$=iRVmuAbzPtMoP8)3E*g|_zw|tK;fm6a6lb7M+=WahQf`=ITW&VGEq*$|RVMmoM
z*$JduZRNbFfjv3Py9Z%PR_gR7cv8RV`T%S>75B0M-W?b=*8!ihmM`js{}YQ}BF2wM
za8Fz}OjCIG8PPwZLv3rvVB_6Zf#vWy3ewCGm}gLolNcXYpFR7r0M|A1@et!9R^#xu
zIoM)rsU!`)uJv+s8#W6YEK7pz?T<8W!b1mBbYkG1#ehYsPMo)@`sqi)rMKz(DByQo
zn)4y>Kr&~?ZFq+Mgufk8KBQvW4A#$4U3>r^3=%)>1q-C`tlPk8%tLD4@R6=7w_RW^
zasKC#Foo5nKelj1+E9EHti^1qL6pBq$u*D(x2BxwChA|gH?o`!-|f+neFz)uWj|R9
zd*0exV-L?=|D#Y3YaZYfegxmop|S3P%acUJoZ$VEKYjY(qGrWtclgR2Y5E`dfuKSx
zalO@~?y4y`r0M$JC$P_<$?gT1Hm&`|W7y<!_52bnT{ODl3qMKe-n9ug?z`^d4F_K@
zVBLnP11*LF;PV*`Lc6=L-_+~9^&Ix<%e=e?-lg!TF$^v_R(*pO&i2<-A=>jyLxv+A
zynoEN;0>(zxclvYaC{A4@k@9~zcz;*-V-Hp{2km{Jy639k4U{rBJNKbTl=pQ@HO}7
z{qgWT!zQ^TEX1gCFdF`wu*xO{2eoUtC&DrtZ1Re5`l%I<SolWqF+(MI%VK>p8IH8Q
z?5zuHzIis20QZ?{Mqh`Y%e~M^ho_xgD$QZmv((o=!m6>)1}tDvqrH`%;lumW$sWM#
z9FM9~;b`mXBah(m5@(?t`1i(=Rxlj)Wk(LtAB`_D+JwTwZR@N=f8`h#ef1uW-F=ar
zsIT(2!KXNQ&zsZF@?rntC*yf=rj#E|CVcpK9%&(*uKdWk02W!RKmHwVS$O+^xZbbu
zJ?HCSH}@C6i(#4?X0vYi$8^+a9z68==Hp&iaPFB(DZJyj&4&rNjOV!;v3{)a6?~n9
z3*w!Mi1p(NS$XR`Ol@r|T?VIm(@ibH^*YxRYhhYd=IwR(@Ea9wV!ZY%TQO|G@8(a1
z5aU^i+J$%54?Mq2=Amzd{e7D+lEa*K`&^0jg+#JXn+8^Wzp+WIFIgu~+3tgHcKtFV
z))&6^i(ZFeSJ&_3#QLJGkPyWPUpktmMyxMQ1DP3YM0uH@He!9b-*mY4DEvdsPI?@k
z(BbOmfg46uN{ID^rYdlm7p68B;wI)V=L^vkBJh+w)kk7|VdJCb5QB$q{n@_=yG9-n
zKLaO?ehr<2Q%QrA&%$b#qBd7yE7H&RufQD%QrkrSp~w?~*Wf>o4w-MlwJVA_`mo1`
z_`Cn$CsnnLH{tEYN9`n-Z<CGYx0+zG>b`*=NKdqmVQ7UNcPA+Pg1M}%Zq2|{TFIBY
zU^6xzw^?}hh*dW6e%Xarb9Z%PKbHSpj3`gtRNPDs=aTqG6Z5b1mNm;U_)<K_d!oJ7
z&Yl<Nf=@d9q$J9R7FC8R!WsJh&s*Ws+8@%DVBO+#%RO)#)w5DH*vZb{k*Gf_KQU1S
zmZ9j_OWfblwId6buq|aDbrsASB-DKuF8|FFPxQa7*uE`inDx)=_&nG@VCuIce3WtG
zbOyX}<Qe5tIH&50R0=$95I*Y(-?<#sLX6i%3!X#4@P(MgmMB=6On4&zPIJC=hnO$c
zo_}GFf`2*&-wA?S9~O~E!YgsVw|rm@4>A6aaQJ18ZBN*%N}N6sHmP@dNz8|y3UQ}$
zU>D}(m-k`U-!ZIN@ao()?>+clm8wty9F}_^^)9SpbM0^*torBf1!I`mG2u)VoS*jW
z!VNgZ@!io1m|J}KhX#CVbzHs`7KvT?p$vPe4DdI@I_@gg@^Ftbi~0b3I84X-0z9)x
zE!hXpS7z=y4bwl6x%mfne3HIP3?_Bwzc>z)Q&PU=gV&wZ%$H#ko7KqUa6{V}<wZDI
zNlW-Y`0MF@8I>M9Kc<Sz*z(5rFK9n-UW0uGcFHfqf}?BtCh$zx<*FIj?0WG9BY6Kx
zj{Yd@b0x&g8a|hELjM=c$f$bt9xTWcKK}#W;lpV65Uvi|o@;~GliRgjU{~FHzI8DD
z@MJ&$yob?_yaEnOjB$7l9}yUeDuf?;U3vWmUaLG2l?!{vY`R6j{eo{r(qY!^iJUa}
z;3?b85AbkdSY!&UGxJ;F9o#^E>{~wEn@g?m8kT0MOZWm$mwFBa!BitxYb)V%qS5`&
zU{Te%PvtOM*g=OUa2{RE=nvTHR?_@Kc#u`Pz7sCm$L?njS8B!0{)W$FAMv$<s|(L`
z4#E04;jE_cdz)8lv+(a7zDJDU=lpzwGjNyA&TJj{rhyCDCVXFIEK?mm??Clu4L-eY
zqNoHLx0<u<>&1LPA6qR8zwuq#MFUGwvEP(}+Y4zJ4#Ka;z4}kVb&p?f?uU0tlR2D(
zGkHqc*<n?Yaywok{gMLte{g7@ECmPbTBOCu1wUST=gS5gjQ4GE!1L?>{l@?+9r}Az
z7`8QUI6@EKdSkoiB%EKNoJ|S8SG&(70bgN^71;v^jx2AB!euSTYPX-_Jeqx(?hIW0
z+(B^@ep&9gA_?D(UHQ2PXS&^GR)7UH0tWuVb<SfXm*9^j`|ppz=_|eaufo<jx{JRF
zlj!`r3?FnI@b818cPdb-!CE~>DSKdF=JLPFFwb^kObh%xHl0)(9xa>ruL(B%&ON39
z|GsFQTLrte)2?2JxvbO0D&X^!egnF&>NU~&LfHAW#jGKG;HQmJK74XuxZ@^l%DnO`
z1NNOO9lH&G-Y;a74y)hH%rt_Jr$`4x!G<z^6?fox5=ZJt*uji6*%YqU--ru=)9c#`
z@4@v9!W=>H*PTl5E#L#KdHFst?=(Y}9h|;6dFm;AP9!kG24<qNZ+Zj|#^@wF!RN!`
zu04R)mKp-@!)@feBernoSjhWF@beX&Th_40eOF6o*nZ0__$DkXCgtW1-@6jFPap2O
zmto=xfBngvs16T&Hoxx$tA@#Oslwi?{d%5ol~+TN0^C^|V(ACZMlVWTf`b`$tNFmb
z(~nxEVd2}kCIRqO>-VZs@Xk7J#pf^?(}{6mIRDA@zhZr8uVDA4WiRY^g-=kPf{oLD
zp4x`1vya;w!w2Q9gl6HUQUx7D*khHxW(>ZsA^Ok?u8?u79D->IRShj+c6m<y9(akf
z%+?+**wfk51?$J0-E9HauUU)b!e-RnizYCQUSVz?JgdCjZ3Oe^8(htR<>W-asKYOu
zCzNwwm3*VOs<88{|7a>~L-x`|79Q*-oA?ZGef)m&Je*J+=l&7irL-<30`GI9_DqMP
zN*s0z!g<MZpQ7MFwS7y+VJ>O=lQHlug;!rW;8xni8-Xz26R~s_c!s@cAQ*OCt9E99
zQ{HS*dBC;3cg^Tv7e4kEPvGhExv4u~FK_-71vpsyZsa=JJE~NUPYLcgBQQ|`@2MAd
zw0VN~;FHK&9c=kUWa%E9=_OxT4O6U&AH4w^RLONV!UGq?-|NA<<gVivwGf|CNH!|M
ztXgWBEwI&R@vHK%Y5s~aQD2*6{yqWt^6%gFtuXJY+(2G<QhZfBAEpd{8CB(p^MgP>
zu1uI>>pAOpIQVFN(MNda<Xz`PIPv+O)L8h^u-@uN_?lePg*Wh~Jg>Shoc-;9a3~zr
zLf`HW7jXJ+68-JO{biB|M1J{}DWX4$xOaOzg2{PR^Pa%c-@l|=z>V`!iNyFQP=6_C
z1v6`&uqVdHm5bK;H(;jn2gbHUer5T71Ne6wy#O&@4M$lhm5KB`vm?ZKZnpjFuL@s0
zOg%x2|7V}ReK`kzX}R@74|XejaY_~@A2?H@18+T8Y&;E%`Mpe2h5u|7DNDoB*Hv7I
z`A+Ps_ai<yBQ^C7F(0OtD{czFMs|VMF2XJqsi9o(%j_v>X?WqB#Q`3o{Av*eF~5#J
z;Xls+7yml4Dg-Y*9xY{p(+sJ83c{@Aayt9rHOYI8+_1>0wI2sy4iSTFF8JoSw)I~4
z!e(h4v0k`zkk8T(<&!e3nPCa1uPj?0$j^A#-~hb&+dPT{={M`><@Up2o#i6`kp7A9
zp(qu6tH?Zi4L+dzh=~H;!%}v69=@3Jn_>q%;$l*_2(J~*br9=e+Jk-nhT))`8<oqj
ztZu6FDBSbLJY^BKSR<hwfHl23-%P{wsu6*MaPjcy<4O3M;Uwn|_-KiS4Y58`3%Y&i
zfiuM(pBaRi0@>QW!~VH*yxs8Ifi(4cSSy9+Upt&TqV%{Bj%$54)&P^{wvm*;W#v|N
zxp45losLGZd2?@XG5lcg>C#P@DM8Xc1{QUY;GcMm_36pH@oTt)H8E`xHWn7y2!hXj
zirifbx3e!z`oV!yJALZm233;iC$JDpreYS{_qHbB5$rTfUz-D`ZunkzhL>ocEXTw9
zW;B#+VN0E#j)}1LcXkFM{<_3>IqnrqXEaA{3NJ3jaJ+^uQ=Bd|AY3Im>JG<k(5C3X
zg-rgYp74oeo11Dde>fA5In26x<(d-Ac>mT%3;2-iwVbo?KTT@^Nw_N8s8SAYy}+9;
z4x7@=JIlZ%b}2STVB6?*-%D^~mgy`L+&f31bpgizm$Fd8o~nCI72)X54sXffZbcRm
zqQ2bFnwn*ItbY#=%U*#cf*&g^!nTY&`xIc&l{SZA_#w*?Hf1<e&3|za&N4hXeHper
z)6dondx;&{RE5)*f@2!s^#6owuflgse%BYl8dZmTG~lNX!mkv-;mb-6#PyUGP9;RZ
z`*v}9sl(1%Q^#Jx9ATXjM0v(-qp?Tu>#qs&M0x2i2h1M8>R*<A5$#1rlJ->xp1zzn
zN3^FXnW2mptoF$*fvEpeO(Ur^%xx%<L)72G?%{D7j%AHgCdx~n-q*tbPf92o5amsN
zmgydX6^-gwiT1j9;!5VC8}|3Z78Jz$yUV;SG!OGSt;G@T^FG4UzZo7fdXYu6Pico3
zWh2~Q;Auvbmm_^ypAAzuysNN>J=X(j6X3eOQz=A$N>R)*jDo4FKXiM;qWhoxd<pw>
zoc`to4<vuQ{{k*637R4L_j`H$#i#H-d)AI{xZ}iAe^>b6@x_G%*kE_KpEJzdXF;6=
z?-sLMcnnuwPLv|X&ojdbTNn7lFK*4RupDh+uLn$Cx?)d^zpwWadLF??o<4rj1c!w>
zTqLeHUVJsRAC4@)CQH;O`l-M2C+u&?oaPIk)w|d+3hVNC@_EC@D}Kz3!}g+AUj@KU
z5+A5n;KbuJFa6-xjpvWA!i^t0w}Ro0S4rX|n4g5(Pr3!d5g!y(i22I3Vr48GHZ{mF
zAm+1lv#VxA`!tPdxDfLlTh;y+qWyS+i+zdtkY&h3B@#B#rYkxGKO6kRkqZAxaIHH6
z^SFt}eT4Id`9_HOmW}n_-b^_E=$l1iK7J}H^ZXM$t-h0+7hcRMG57{ko^p^7hNrKR
z{49o-h9>Tc!;Fp(Gl~1nYkBhlu|B*H{328j{|OpQI}bm;DX^;_7Wt}EOvK-TtGB#*
zU~OvGW5jxt?;_8;0k0}<i4f~mXQE^BDx4$W;6cQ{VT$2n`_UiiD%XRE_;-@@o9RB7
zWwkBY40bfMZzlThPj~$SE7&PGT$$*<9ek4QMEtt@reZ!TydGCJOvJD0<mRVX;DPUP
zn=bI#3yiVHV4o~$zCd{8pTU1e;17k|mx2jr?)Bq@X%9)q6~g^TMV}D$i?g0CE{1g-
zd#3(hKY2kt5%0LYZnGfjXYeZ=t%8U3oI8m6lbj28b-)%oZnpggYaOrnuM0LgO(M+=
zGx1*(9DvJ8rV5GcRcNRx4#ID5z2Fpp(|wLt67g8#GjkRuIJS^1<q#Yh)0{~MyH+cA
z^TI4wc?Bt9n^>-|Jg{C`SS2a^=HODl1pFlIP&v`wtXFEviFi0o!9$lA-^LgHhluzx
zYhYRHFYMW=TSLT`4Wq`>qwo(4vt=##s^dfRpYZ8~lYJWSx9=0%op2dz=Nb_|w?)Zp
zw!lMKk%L71EGG9U^gGP{%#FqorWcN&ErWBbr5A~Kx%n97hkV$#tZKg}tRZnOj+iet
z^gRE$!#mxwB#HjJvv=!I09+;0FP;eBYRcVs23z*1HoSwcWdEfKg-7&;l-|NKc^~G2
zU|Kcpp-^}SXD>+veE9T;Au-;jC4)y_!i_KVR*3N{%wM|n7B=c1xlfGW+iH%zZ{T+?
zuJ3h&f7QSL^B%6a_}l*>d}o6yHwrc@Z~Af<9#uS984o|}))K!1OKXfI$HLQz_4Nku
zHutWAkMKuMRiztnifn##A{?kv{YwMRif&I&hlj-!4b|ZD1!o>4!%ZK>UYv*TPN?{O
zhPh{QsAOQ}2{P+XFs}q(tT<d7eZVaj<{bXWCJIw$RGVbOiN0)Kc;TVxR=Yy@{M$$|
z9@v}asZKt8@!kG<Huy{1GqZ277vr<btZ+G*^wkoW%z4MJgRq9GjD96Nrsr%x57&hJ
zJzoxwADmsHgiB1PRcc{7LlcKR@cX>C;x+JsQ!gb6+?)JDqZ596C7*oV73Z6}lBe6@
z9eKj<=3)MpBRWHH;2E;WX?VD|QhE^nweBV~0tZxDxop5&oa-lg;ZgsV&@Fhx_fgm|
z>`))`d2c`ZhYCmV0IXX=Sx*Bu@Wif-!l9Z!CRpI<@>46n;GGVNWdFgm^f`uq;M^-G
z>A7GAy0w8ZxM(<mpBt`ja8Q_q>r!5v5rkte=2Q`{?@l4Pwh-KIC2(>XetEmgK?Zg%
ziRGJvtKRDbo`<t<GQL`c<=%6pDZ_z}T|*XOO3F{ws&MVAx%CaW=+LW99XMI%$b&Wb
z*uSH5daz+%;P4K#-%Z{*8grPutmo$@(hVe^@>sy13ok3~MtW?is=N#AZ~s(|6h6H%
zW%Lkc8lF$5fQMq<1O&mUdi*>@eLIR|K8C;{3gIEd{qqhU=}3gF>(lq{gpa)loBaq!
zoI2=81t*bc(&WLnxasVO>kV*I@f5&1l=pjSU?uBGiBgy^%TjkQymH_8UL{<Xdy?-6
ztZ8uRQ9WEVcr=*_?vy4EZ-lS!ctXzsOC6d@=z#Yn*aQ>((e2*nZ(T6CXww=uJSH06
zGyp$P&U5C1XUL5H48mnf2Zsb;-9q`*G5F8VRRccw7u~496nvN=Ls%N-wP==JfYtZ|
zGfu-<bMZP$Ft7PIeyIWLnPiaJ2F$Wj7Jd$n-jt0Z8NmBXx4o+h7mN$1lEZ4nm&UKb
z!<_r8Dd4nIZ&kJ7>21=^eXz<m%O+wxub-@=ItY6#)5qS1JJL#+Sm0yZ1OJ)8rSFr(
zSmEXTlYSPkJ9X4WPWYVE%5HO5JoVuN9$0?%RW}i@6cyO}orHbnwY8n#fZKQCh2g@f
zgm3QfUt^;zNjTEX_^c}&XstOR4I4zR?F)c2Y1RH+ggL`M2Rws)Y*p#y;f&_>6=HsL
zBT+tj4L&57exH~hHG9>hRp8di<$>2QgRbfoZMf-2ygm_+ET!t2>B3*8CM%=ir;NIe
zhOmm-OW7#c&e<XL7HpjV-=TCk!^f%60&a*d4^4rqL;O4M!SnOGH?s%_1&lbrv#K8+
ze1;bfd?0axCHIdH6YIlg(iB=ZxOT$R=nK5GRdwPqEPA-S_A7k1r(V(rRyWgCD28u7
zr?q(oUncEjYJ_bm8Qnu*!B*3VI+**b%$qPc=WHBlJ8ajcmKO^TpU>MM@}JIm+!hb#
za?IcEg3Xlthf-h?EyrOZzt)GM%`|u{KK)8Re4Mv>Zw{QJEKp0tH}cz?$G^a7RJTQj
z;aocki4vl`;9$ley!+clwQulFor6phFzr!QqiVQ&;aT`7{Bk_#(RcWd-&Yc1Jr<RG
z_pBK{^G?WZ3Z8Wy`p^n%zBd_LggNqNbGl(pftFiDe9mGk+0qMNd`H^22KT;G7#xB_
z<L)Z`gAca6T>lN{Jbs-`g7`pxI)QQucHP<(+Cq9y#0uvO9Hqb;xf|*96NfKuz;+2^
zFNt^}uhhn13(mZ?f13h+zx3E@*H3)jN%rm|ayVFiz>geWv<@Aig=fwGM$o{H)uYDL
z@JTV%?0s;YAx-^3nCy~C`C&Nx<PAl7I3i4FjTugQpTtbWPsQ@`6dW+m{9FV(%v_gs
zj1#7+J-FipoNQSu!Ur#h=(!(<BYD&Bo`lUk-l?8~9j$9zB;bzP{zfsFE=A_0Bz)`F
zro>tJTEAZWIamUZVWi-Jy&An2;Tf9yK38D<Uv__#U~$!Cvdi#LfHS)atZ6vZsRzH?
z6?sw{rsmkMLF~swgwo8e!_PY8xXfYx%WaOva3X_EoGJWwVJ^)ScC(7U?*y}bVlKW1
zuM1VoJHXssmlkc|qr87Bp2C5m4m(}o4J(=pPvFg-l+&)T8I{<9FgUEIPtgkwZMqg5
z40~*|dHBLow6-R(u;P2opg=f7{pnyd+;s6nbtwEyJT5Z>F7qAed;=@4e-=!Kx09u4
zqT#C^b);WmmSCqNA7G`bb~j=_%Pag#BN?{;JE21CcP$FoZheO1v!@$sVe_6>kvZ_#
z<E`jkxSp&hxd^^iwZYO2x5nuYeS;&#DE>~s8a8or)v&-ispS~#!E%?n7G6-@-SHRZ
z>H5sl0v83YsZPVA<BA#`u<OHZjx9J*?xjf|Y$iDqvkqr<N=6RC>@_oXd$Hg5>F`Y+
zBfR^^UkaFHRB~t%u9j#oCC&?edq1C>hx?bloMnLLEbdY-!6p3JiEQxrS~1H8ylE18
zj1}(GjXAXid+!N&!3FnqF3Rs3#Pi$SJCw)Z``0SmDd7EQ_4-6%w|gvs`(Rf~L0w_^
zq&G#%e)ym=SJ`R!T&QsYBOJf9eD)MP%&F1I40m0eN<0TIu%(Y2g}qJkj-7=$NZuYf
z4*!vfUcLsOh+5?nfP)5Z+h2i8CYBUV!bKL^eH!pr2Mrww*xi#+R}EH^(sYo7&px6k
z(}U%+v!9%U4^vg2)qw{V^P?}oR<=2bhH%++rca8np|jPoo3PQLV|7aK1*PjROyQFj
zPkYqhOSQC=x8UCB&}9v{h+^H&5)K|(+NBS7kfi)2&U-Eg?>TxCZb=Q(v4f5I8qQh5
zR_kM`_h2rHF?}ndJabdQec0Vd(egelZEq)G59{Qa`8vVWBswt<VZW`~a5wl}(=v+-
z{K|BHvnPz-%bM|n^=$@bg5WK&=`k<(xfmr?C@i<9QRM~9A!oz%240jgXz+(!ykf-P
z!k^vFiig4-9^{we;5!0!nL)6+)EVOh_)T{bGjZN!#T9Rx3hR;zMG)s<40`=9(&2Rm
zYSL)<nOs_G5nNWYZ;i;WlQ>;d0{d(HF^+|^e-)0^!xQcO*Q4MB+nr=haC>`pMFM>D
z^<DZ-m|Kqfd>rf*mn--Kw*S2OF$G>Be|l{cHkt2={Q%3I`*C+1u53-F`UL-bB=g`e
zY=BQQrovAI!(Yw8%(FwY*>F|y?VN2ma4v3w$nW~DqJ{Jq=C@2cwLDn#Vel+1tmDO@
zM4T5g_^<5U4>RQd%_@XBbIN$x;Kb`eskyMkyr9BS_y(EY!LP87+jU0?*h81!{|lTH
z)fyrRm%A>^6Y2l9DgK(kp9DnvGT;;z{9ijPJF;*wAC4E9bPR|2#7jRC=a1@q%6czh
z-^+W>6YZNH#qXO82UYXugu}__pIIcq-8@cL0^vPTs;`UT_9yP&d|=(Fq(_DD9??2&
zcQ{2zJGmL=u*j`*f*tviUNpj&&B;uxVZZ$}seSOV&!c*G;Xuplfj#hdGVysMn64!|
zZ5%e(ruw4~-}2uI8il=+^gW32cjKPYr$zXWCYOscyxTiCWF8LCaNZ{mQ@+W3zY5#e
z>pZ^*f2v&ZT7lWPQ#j7REy99vyN0ko)-z$2fPWX;c<+SWslH?iz#$(a<LTg(S>t3L
zm@TZ^hZfdZ`Es5eewI4%>JTja%&(Z3zqpgR9vpy&W(G74!A=Uoe#~&mWLh&l%&BW-
z$p|~7?z}?<lk`6DKMog-M;PpeFDYf+<Aj&C{w{A~zU>gme#8fxoz1l)=3mLoNrMyc
z`_I&r3veFuxRnshq1W<s7M9LrRTG47oZvY!4rjkVWF!vHNd1Wzf%TQHToi@5%`cqn
zhwHz|s7t|h!z8IaaFnZqxFo#CN>{cO-s@r_cMdL8J@~Z=-lG`KeHQ+A%1WymcB%D{
zkb^6p9&fFHKcr<d$-<<ykIjkoj5X&C&t-VnU1B63c1@|@s{k{x2S54@lSrmBE5pp^
z<o*%sWB7%iTUTJ^v(bScU|y{vY7N+?N`)#O*4JWfC-PtUMRqzA&N#C;qy<yeW#<IJ
z$|9UqME;C1nybF>x9H{e>u|{Fq8ehofB%syPZt)>K4j<$3%^~cGK5dtl=eP=siV|i
z=)<EPj+A%dhsKO=P2jNT|GdrM2fB*xM(|sS2S*Ixg9(%YcVMRyw%7Ww#N)dfx8T2f
zJFAu8ns>)cEMSMF2eOLrw5P@;bGSdHqvsr)f1Fa&1`geH(jwv|k$!V#OSr<9|0zFA
zp~-N<9_BsMNWu%7a4AsR!n6B$B96lD$L5)x;phC-^lY#Y1^f1W_=3UFl*91r7gf}*
zF#Sj|7ZDF8JzboA02kXcmh6QMgI;cXz%|C1l9X`uy}3#vzxg}!JFAFSGnJmTd%*&K
zNq#TGG(!1bJYmka`VVJdwU^hb{9taax#dataKOWlJ}`~p)c_(sFLK_S7XWKM`AP8$
zp7c5u`5fl>BlZ3Vys}jBF%(X7tYab0yIvlgeI5+oJ<Xln08>&sM@GO>Cvyae{RQ*6
zShrX3kjnmQ;=F64nDa#xy!Pqsg>UdvGG&`c_yzx3H?g1jv8T~37M@@7(9D5*jF*jK
z;JeK~r&8hgX&akFm}ST9JIU~|>k;Y+u)AdW_IsG`i>FN%tT$M(Oq_oSKK-En89sXN
zSU?zTt98gY5577SLlFXRN=VA(!X))1@BQGN>@>y|@WAS9xEFlfgkP=<UOA;E_y`uM
zUovWj<(S2}oL~}bI=M!;@>4{y72JHuM!f?rys%r+5<a!*FWv^Ti<&nR``xOFFr#s}
z^I`M_eVBsh<Hb>!tB|Zm9p=@zR>?Vx_y6ClpfqePsWx;RuIBKJkc0IOuux0G&R0%R
zo`oZS@SKo==W46$F2MrLlNuWE{T+J0iS*m{JMFY!&-LF|<cad~9s##t_FE#d7vOJ)
zVp2@uYt4lzm*EFuEHw^r7}eT);(GgpE{r(B-GAIEufYy)ib$Wr)&J5+6k+MI305DN
zO-aa{I3Ebz=Hd^4|LnN%o5<fDqjNb3p88gPMH|lJYcqWZ3xxc*K%DQLT%+=efkn%;
zQ}p0$1;vm=IJxgSmk#_f(EHOzSly*Nzz}AuttifbS*W@xZo=XIyL&TXV|q<HQ+PE)
zZXzFcJEAg8wD<C#XS<8wTfw!O#QiwCS$CiuZl*77Ce9bCGY$z?!fFeWl6LSyy7swx
zn0kgc+ZrbC`*5QX=8}wKA)cquRgGJ8z`UtJ;rHQO%QJpmaIf)h5;yqm1^4g)nD5%(
z2gLbkhjCZ-AZ%%4GW-M%I>uZ+2Jdc{zv%(rDsdW|fV+$es)+vg*P>`<7S5M`bKVEO
z>3(GI0(?k<Dmf6&V=!S_gQcI19wVLym9GkFZo${`E0&1!hBrbkCcAzkK7ankhIsxV
zz5V+!Ih<Nb-W><`92E?tfg`EA)rs+P{BCsWKDaUMV$nzViOZjY!|;YJodj{d{P?uN
z4@Nl6^<nfUI9x1clnp*uAj^~n%iA0y<ACLbQay?BdQjVT{|Wfdi1lVB>_YWdkPi;4
z>AYPCul1ifD*{_Dy&TMgWk_XRB;ds*gU{dLV|HOaXJP4BM!ss8>K9AGIhgL-qp&9U
zjkI-^JRJC2h?badE^=)&E5dE}LY+Eb7c1qTDzH1{#ralvx_NLz4Hnyu)9Z!H$;7Di
z;C%;FI*9q~hL`cBo3P)hy&ooEFRcQN+i+QZCfgXCX|H8x277JL`2B_Lgg!mCf`9M%
zymK0k=9(|GgU#b^w{OD9p4Vz!U>3n0%IolFy``~-aQ|z)FFP?`UyfB<_JlK|=7os!
z1JT7z`loP{z2Y0<{6Ocp{?X@f?ccrw<S?Ii@r@vOzSDbzSRY<!|7RHv3$z|EB-RJF
zTOEF{VX<Me8sd445&Nl#82Gu?+y!P>HfcU57M^Uqkir4Ss%TYwg!N0RIf?UwV8+hv
zG<bT>bXf?t{Ta(r1dE(9p5%j-gG6<{!J7>0h0^fc&RzE#;ZT|18N_))=~PEZGi=??
z&v+hI6*&983szuw8%nH?+`;r;yI~84-|Ls)LXO|PW3UKm_AHTKE$iFr1pL8%RfjlF
zP$J{mGY7w7xZWlY&kan;F2Nk9hT@3xgrx=@wGEh0|12x<e3zQ>oXr+|f#R|EP1txL
z)os@Z=8J?b5@LN9l=Cj2fDfJ4Zn1=YikEBl!Qz@9m56xZZb%>5K{(a-7|TPrG)aY?
z1#UlT`^p*aA(2&PgEtn(O#NW~oPrz2VJ;fMU*53S$HFiCaA-p}V+`z<E?FfC=UFm^
zMZrP3mijU<+X`nC5q~uvSiXA+<~ecma3%cMMsfHW%%IDeHww!N_RVR+(+pa|zv1?Y
z=^<0t>;6~!<A^u!I)%;MgX{Z$PZRs=jUjJeXPAsG{r~%4rsI;~?r{0uI-4s<?+Csv
z;1BOR@z})?4tUNX9Sk4K4_hGik1Z>H?UAs~H?a+3za{fgeK;158#?b831>-1>8HT#
zy;+Bf;njI-i%dA#FE6M7?ra|XT>z*4WD)9vN&Sl!N?`*grj%}&EK}oNEnL}PqqGh)
zTT4D_fuDz&R{n!Eb-lZ~;DO8UHtFzrj=N^IqXTf)s~1kRu)1C6`4KpMwCEEzY}`_<
zG6gq&N#NmvRW>iC&cplO*Bi;e`e|nhSK&)5>Ah#*_iHVONJg=rbZMa1g45TVILToF
z&5tkCiS)a!9@Ow*+pm?Da9WW^&;eMlB~0cnoN!fsiV1f0j&*thXU?jwv%{Y)Z08=s
zJL3hlx#55Ljy!MRgAwOU1>t?iWa7eMS}XA~G1!9YOm7Cvm36h{46L=bsgX`N^*X;S
zobzD*c{MD1!R5?lBL7U<?n*e~W^{xKoK61b>;POWSDvU1bCM|M^}^qtl9JtouVo6)
z5})UpF6O1b4O<KTGXEb(_Z`pG_s0Pom1L8KkPsmmUqV*NDl*FoMaZnk-V#z#A!V1D
znUPVF)lf#FLPls<kx@4Jz0U8?=i_}o_ukJv^PYR}x#W4D8J>_!POz14bs8O>7ZT1d
z4ZI9<``d7AfkP#EdcEPMvoa@n;dcxs<3aGQ;qDf0_=5E&!BF_;r}AWRII;Jz%uSf@
zi~e@<d=%?5EW-u++6oUV!F+8pq4(hAk-D=AaHQ0~`b5}^B~DBm4jw(+o(B7{2;^$Q
zlzxKK8SpL@MwXLs0lU+B9&B5ccta01`KPW}1aCC9J8cE`$wi&0fO$^*{&)svjtX{q
z3UgI<$lJk3%Nl)aVLv{@avPW<q&A@*-o7NmbpdwS{<*UsZr{IagEegF^JQ)Tei*dq
zNS;q~y>UvPb_B;OXr^Kg5B)v-9}RrBFr=3p-$@BiWhU5dvF{Xl{!FdJl9vJI=-oJZ
z4BmP<MuH7ixMO}^9gf)S&&morehB?Xo;RyJk;}slf0+8>B@e4R`F|(rm2L~?2*aPQ
zq|b7|POO1Eg2bLSaob=i^SLqdJXlA5a3&|5t#Hhm9{%<5^!c6S_j&hXSCHQqdM<fz
z!#=-9=$GJp3x%Cze=d_|p9kQU5RH9%;MrRRI{onJGQlyjzoe$cz!sP%Uu2ONo@mop
zB+qMok7ugd4M*OJ6?_JpS<%1ahjSMO(<<PTbTc=2V3k869a(T>)^LI#EK2RIl>tAe
zYc<;omp3)|#lQ_-&mH%}msjZLZo{l5i40_W$^L#XJYl}?ft(_6HtlO^cbK=*wwA=%
zSH;&)!{$~;-jn#n5g%_8c%4h~4%uJqtGXNw_(&r412Oo;RvKP4m}hlCSqOgo%w>E(
zTzS7<PaNhyUui7_-?ezoO1Af%c{O$?Y|tFQBMJY<qs*`!KBMjPT@<d;2~*qz>qkk=
z9)w34-d0e-(ajQN60o=%{m2a3v&R0P4YII|mX75Ve5m_Js1$rOF#66{xUM=nRvs3r
zYTrWIO9!_YLm7DV5}RBztS>BUqXZW*oqX~ZK9C|OAP4gti~COIi$VpyNGZc@S{>%(
z`Lyq*J=+e$c3yw}lKHG-_U?Pt;cGt+T+D+<8$5?edPg&tR5IVzk+Eg&80>K%cL$jt
z+TKjtNz&JOH5J{0xg-*PXv3;y6he`3oLf@%arnBOiYb|2lrG>c*MpZfdv|!l&W(Kc
zbl_Q+1V<NGCM-MC5dQAh{GH5SrWECz*M|d~8QCo0ok#Y1n80Uym7>UetClXmkrBLn
z&XS+Z$FABW+gQNX3b#_p{Lq#g$!cb>IZv@PnID?l%XI1-tYzC<MCOM$teLi-f%~<&
z2PNUo559YC;a79VOeNsiG2czru<?@Pj3E4Ivj(p#Y<s)>J0GkZs<Pn{TsPM3$3ZNW
z$>Ir*bS?ee2{*oZFzW{2yUi8F4DVcBq40xGjmlFq!cm#?L*B62+S$}iaD?9?{VljF
zF=q>zk5~OXF?kbarD#i=gU{UP+?fXZhAz|phVN^P%VfZ#|Fyf%!}soloGO8by?f5j
z!1cZ<ZckvX_{Z;;;2~<MJM}Ps@uNEOd>++qqoS9v&k-NNHF)3Tcyl`}CVXz!BCI6A
z_Uj|;v|l2G0>|f<dS<ByPSE3CA?c4=MDFZ|C8{URk@+l>vMzxiFq>&-?*{nu<QDZ|
zm{u%Zg&wXGH99p3r>k76Cif5KzD2rC!N0HS?`4JOFY(`5gI_Q(ZD)W*^sS55;m(@Q
zfNijBO3@4IQG8!Ts%W017g?I=qk+A2J<gExzbbn87ZZG1;dmE0|7DxPX<6ZI4Gf3L
z{GBTQr=9HZBZ2-(GJjX^$t}wP7i@pXO~yy`!57te;gMO#crrdRJW*r27nal(p*TQ%
zn9+Sd%$_#uEetz{pNl;J7uuE%{s(hgKS`5<<s{rq#bIiG`g&=Y(el4~S=iy1MVlh5
zoH2Ds8s-;#{`)X&qEL{g1WR-?tf|9d3pTsRd}ZV9OPt5y;AQR*QeM4;UJC2M%Oana
zmEln{Ax#4~EHUbwCaf?JU}6fVt19-A@*WjA>SYF><D5IH2m384hM$8ul^#CVhKqR$
zvuxn4!A5*Wu&nonGAG!PeJ$xEe3HZK;|2K6>yi!T@FlbNL+)@$=ShE4_<&{I9v^t=
z{4*^wpSxXwLo65`o-=%92iK+~=!C$MJ=7wkeoI=<nO}#C2U9ai{oem`H7N?VA6j(_
zgzePL^X|eOwznrpd-3A@&v*CWLm>*MLSf$$weA#HI<Tqb3jDkH+>UgZW@=Az4D4|K
z4Sy~?VxP-)2fpojS}h+odST!n4+pE)o-BpyA9wzZgUepd#8kldZu7q)^ZgcLr_)}*
zUH>u^GU3aui*>c|;hV=ZN&9${_gvc>c;n@loTPoMl;1S<77n(z3oV6zOm)$9!N>0D
zcof1Hr9<|Afw|VE`bc|gyvAue2VbhYT|@3SJo)@FbO9E~6cHfz57I^0B~Fat{1)fE
zBgaQ4IIE`vcO8|NNQGUJUS)g3J5Nec-G+lAi{ALcr!LkwkoGwJe(U-@c+H7jGYa0a
z>os=*oUq|R3EAFu^LCSRc$?UZ=$mlErO)1#@Z3?QrC50LXj{og*gl#23%TDj5;@rZ
z8TJ!NK0?kf#f#|Gad^+DdCm=(M!A4<5*GdanTh<~(cMskY8>+=Pu;x8_V0B0*li@1
z8v9D(GP2qa_rUQ{;x%OZb|Qgwyl_NV8b8@S@AYqe;_&_91KY^)yXWm%`wu><lk889
z|HaSzeaB#L)%NcszH4|=LlgeNqo8#Uw&L@;d=~B&&?zPT(QB%gF;?)rPdPg|KNZTV
zFFfJ0sLWt;{@5uJ`@LaLBbreXUr(J_3Ww{mmAc6B1l%~j>pHw+;DJ&S9BY>-eII6{
zd~<;8Pc-<SQ3AY_vp0_9&&echw?}YZvRo+XFX@M##^Os>b=%7B{Yrxc<*17*VLzYb
zo@Dr6f%k`Jum#1uGPyq`V>Pn;9u{Y?$|2WN>!sEl?Qr0hN+wc1<DXs=>V}i&_gy3R
zuZqHGG<#rMbN}C@JW<5!ogamV?&<fF^wKfi;o~r!bB1aW{4;g+?hJhX+2(3eo?Y3l
zm;ZsO7mfKy`Ly2h_~kPEy1FuvlxOv2r5~$syA3tfbJ(lPW_H6bwAT-<e4fHjRhC()
zVTaPkgLUxUEj&C7@Hg8{CN=O%n$bBHShzMxpbd7SyyCJG{xLO?(gJT0<%!+}7t2U*
z`V8lJoOr+kHw=XMcfgjn?+^0BX;~~<-{B>fH@`*T;U<%YL74rFE0Y+!bSzb94DQ{R
z#w86${~UZc43{=go|S_qcGzE9fb9ehUQmV$C9;P9!p|bj+BD!*Z+lKgjK}^{i0jvZ
zpKf~)O9!h5v2ve;?T&Ju<An3x>K-@^E1GM6VTUuCw(6L}84Nd$@WNcH`sUW~i`0rr
zZg^Wqag774$9{fN7S__8YjJ_q4@BBX!wb{wu72=D_yc=OIFrjUC<Im!dNE)DOBV%%
z$HEkxI_zn%#h)GCk?>6|*>o~K&L6bjn*+CO4;Wy^c%C<V=D#AiN+R5djQ6*wt;UtZ
zTT+*A?t`xz-OQ|p&&aP)@xymdy%2m2FRa~sK(050Z46~vU}L^(+g0J(hPcEIxT|MW
zi@aZRez#Qa7x-#Of5T~5<#8naAgs|Oz32un8A@=Bz!HD=UUG#!cBBVR!h2ghGRgZs
zN_5&$e_<7G3l8!=Q2xKq)61~_V3uAQ9HDe=opJ)>amH(nsqo8h)5_Fvs9tGY5u8w+
zrN;mtS&5=Agg5=>h-D$}EbDmzf3W(LwiEVRyP^LazP`u!2Pf?BTFBi3tBG#?!w2u#
z7I=@mzckS{VI&NHQp{`q20s%jvXy|{tlf_e!WCk3<A-3X=Jc<WcpvKNwYsGv@HTH-
z!*#@cr`jwu;78+uH+CW(6PxC&1IMw;Q*MXPi@p1B3U1^$AuR^q<xU$ggRizw7K*?h
zrv_Ed!D?q{zp26OBDDq%@XI^TOjKa?s`R)Eu%Akmz$w_{PH3h(EH-PMq7QpMTY2qC
zeE!@<^1hdm*Vj)0aQw~9e#Y?8sIDC$@K6rLaeJ5w_l2&*mo*>O+QNU^4<EY;m;Xr=
zxCooE>@$vm7wM!^oM2kNLhrlqp50;_-Qn%&ao3Vy#=_UWuJE;pJ-I3HPQe#LKCtBd
zEl)Gyq64}nUa-S*{FiJvfkmx02)5*OS}21}{LBk{;mF67?3HjttM1mT@ca7leKl~t
z#OLe5@Y@ez$LrwAi8s>`@VgabyZ3O=*4O<c{fk4(5g*{U3T3L1@Rii2?60u4WV*yP
z*p<%x?I7INbSwTg{O_=N*9ffZvCbF;zZRlh8iV6K#y#R-?)yF47h!Ip+H-f{A4Rui
zm*MF9kKV<@`J-MMl#`f0en@xZ9;_WG;jjU&_nOU4g@aRfdDFsY7xcN3;SD9-3G}d`
zj7(@IocgpOXDfX3K+JL)yy;k2(>7SX)59tcRyH#o<%2nSxOKANQg%LC0eC=$qP!5+
z;%8t#0Eb8F?9YcES@z0_!RvIQF;8HcFZb+JVV`=6ITDYZyLeq4)-3BYD}x39%b4+k
z53Z@+Plvb2JZ<xUkN&(Qo(PMNE3V#v8Hc)JV&IP%Cwd~_XwFR{H{h4|xyEk8!Wlg2
z<ov2S?r)5OD-?9)N&fmrHT+0|bz+0|k^KGsrllbPP7ZrqN6O3n)5e33;D7fz3Y_7Y
zWs90DnBg0hx(yukjjOc)_P@<sZ3VX`@#W{iak9#Wrf?Ybz_Su~m%)i<Blu1C_xnY#
zjA?+44qW^uF}ni(^fjzU3mz{?4K0J0RVv*`eNuWynce_5$Jd@!f^TzB1=qnPMzf0t
zVG6a!w;JJb{@II?uwikb^K1B{GC$3Jn9{<~uLV93z#AwCpBXx7+5~ef81C2uYqKoa
zwZloNdQn_3#g4yxt#ExwWi35yx%19{pJ2Ya;)AqsWx_4y4*0a`kN2c~Ilo(g`wKks
zu}77(FKtix);i(c&5U2?;r6-;y036o3Dv2;u)h0~v0j*dv&`f#ID1`r@f-ZtRM2`1
zKGLGtIS30fSgexvY^JC2#|V6+MeFiclD@8?;V10gA57N?R~j5^pMYy=E?oHtD|0AC
zjlx!%T~8X|mB8wxDLA>WUZ@WKWL4=i32$atXsCo$ZFBFf!0vu8AD6;+iXOTz!S^;U
zYvjRNx@=b|exp4c?0xYFZY-s>`iJ<BMpokoaMg2z$gPOKo6CB7AKv--s3Qw(CO)8l
z8)g<^y2cHkZx2@_{mGoi-drA7FHI{m2ELu7|4AC=_srdN6P9`HGA|1+KgH*s;F!6C
zTQ%S_U&oDa!DqD14<3hmZ{^n9gL%uj4UFOMq3n6lFsr<_yD7Ys{+T%uKDgxk;390a
zFyKn|*LNnf-USwoi0>xxD#q%GF!<nj&>^xv)>CVY5%AkdsfS6h$+-2gO!yx2bx*SW
z!MYO1Y<S`3q5cF|)|oo90sh*j_k{f4fsdANUcu9CtL*Xclg25AQFxM8&6fPXepgfR
zarmh(KGy{=2r`7TO<{ava3C@io_rILvmNGFZJmvTCnofA;@}<3SH#c4dhhYT7pzvx
zc%RIF1`TPAWWm%cqF2trwbK-|Iq;z!RU?jYtna>^MR3uNm*)1c8}*P}2|R4C{n7;%
z@}xQb6lN<lki7^O1io>qg0&NRQaxeiPrrTY;r~wcZgqzpOiPkq!ge`UzT|!1uDd;X
zP4Ma$izy#C|6W>a3oLf;n_&n%Q`y}65%y8)X$pePf^B%Z;nuN%`*+}S*%+|__$fmN
zJ;`5_b!&qm_{*w+8_D0mlo-oV_|p9&qvU)QP94dffa7wM$}{2qy>4ZH;MX+*!s+nk
zV%@GexN$J!4k^EO%^^Qm;iL=KHs!zxkJR^5PNTg42<UhU-!Tn1L<4`GFw>}jW%6vy
zY2jRDJh={!DknR#z&Uk~d8^^GOc7CA;d223*I&Vnk#$MC;Eir8YxOWwS8)v|oO0jQ
zrU~9BH{QYr_ii})r4d%A9GK#VPu{6G`~jxdWdA1ui@JrBwZa>2vGRz)SM26?b;54d
z+G5i1BAx*K2p<p7GLVINxJ2iBVT<T%mWSa3lhcl0VAi(lSCwJW63g}>xO<-Rp)M>@
z{H3Z7E;&c{QXlRcROk5#pRTzwa2CE&TtrLS8&i`Qs&nuM?Om>;@S728ZWnmx@5`sZ
z!{bG}k6wl;7JKSQ`?bRR*7+JteWGFa57@V9?Dln7r%@nm0)DXXW>qR2C-mzZiF-V*
z=zj={Z$EK-5)RDWz5Ez<o3j0n?9bzjK355R<JhbCY52hGh{hY3{j&BviC+%i>+}}3
zQOGf$fu;4ru64rK6BE_Q{*qYV<#oe{+h_Ahduz-j*f<O`P<*~S1rM%Y9v_8yGlW+b
zU~jPx)C+Jz`s(*tm{*5acnRK8s;jvIANi>#OEH7_5UbLfMR+p!kr@@N*u8<DwExcw
zH+nO}wsF-AtB6N=ol9bcpL^4}Z$w;@Av%{Gt_rsrCFz+@{b}KVbK4*5kp84OKyOS4
zb~&LVvkCq<`;1-$PTP=>!T`_cY!i}$X>|p|X<)wDuoDWf+hvytW;il<z+Myfy*2fT
z4j$JxjywUg?mj5b1_!Yg<(!6}(q{58!8EK`O`fEu9=W~)F5DP8>IhfARJ+UypZkxN
z{sNq`KfHSvykc}l&<_rN_Ni_gJW%>eD**P1V%@hJ*4?6He-obnrN_h$TgG<WjDjgd
zB0YHENDjW7B$&gj%7PPa{#etT0*h?^^Kvg77sW7|4-Zna6mY{-?!|PE;lH~zSV@1a
zcXn-GHLNmqYMB?FbbF*#1D|w@uq6F^+MQXu7FeDw{FnfI@ngo#_wb>Om5<5#2u?hc
zkNV)}9+~%qVEdS?=C5#8d&jB-9Lq8}G6C0aE&f5q_YK7bbW`y4-d;^IzF4!I-M0qI
z|IYbO9JUgDrnL?a@^r+@!nc{$>=<S-zS?v<n2bO8=$dab!4EUbhvi`*E`}T~IK<@K
zdujNu`nP6oxZXNk>M-o5v!O=-rn_L2qX37^^{olQQ3KwL<oY6#l6#j7{7#R4o}_Q>
zTvt2<Gl+?pAA?nU_nbHaQ{A6xBk5ZYP`ez31N#`H$@uEF<grLSn1wEai>xPMP$pGu
z03WH&xJs@^;>rzcOyRze(+ebh?i2NIX0TF{y9K!(@l3FvJ_k#83$&B#nI5(?Y_@Q#
z@nIRVeudaTFt0PrLpPas8XoWRRlf-ToY}x)4cCRIp7MZWI0{28;m*}$Z!h?YL&LZ|
zOmF<-ZW!#&LDNCfJFSd8y#_CR+9gZIn+@3vjkjPWi^_Zl_{!TIzwW?e0dH9@!^ce&
zmhQvB{+3~v$nO_4xe{URjV`~)^-Q{x%l<T2%4fq_4_GAPs%{3%YtQmJ0B#!0waA0b
zPCk_NgKK^3uN1&mxdo}@dZoT{^!5{Yj8=yA3e4ZOv8)`XeXHz!9S)xsX{d$=9yI<6
zhb_Xihil-SuRiFL>lckzDO9cSk&ZT5G9LH6_FA9~9<l07CFAww%t@(EST0_dm0Z6(
z`pItE4bS2MS#tg2F>=&y0FIP@_bU!g&2qar1nVZW=%>OJH&YTu;RDqQuajV_#*P=`
z@KUhSescZdcUz!m5f<fVWqknOTsrq}89rsm;{6B?>y4zR`h)A?PWN9VJ=e=t@s03@
z3zzlD^^5NHMI}1e%C`Mg9_;#C(V79iX5A|M1is@L8^i(cED2<J4D-+qW^lpbyS%+B
z;EgS`rF-EkE=}VkJ%7JhrvN;1q(QG5mbiND#{rm|f%(-lc$B4|MjZA~r50|0BTS|E
zmEdFYam+8^^6k;bkHFpi5uUH%BTuW1HQ-A$O=Bee{pH|?S};>!VfjaRt3>f*1DKm{
zOt2kRtJv}J6uf`F`_>ou;|Gl)GuVlRnW_se`1oYg8Q4PWpWOg_yyM4KTe!7PytfZ-
zHZYX6gVO`Jlz+l52d}ALgq6dz%D%ywlB<p`@ZU)3UBBQH%c4GB@C#bYs8LwLGbhCd
z*7Z65XBzI=)0ZC%AH8t#{BPKO*Xa)-aOqK_mU+0(v3}wX+#3;FIs?<hs<XtxC*OJR
zT!w39eYq3iYaG!x7vM)<H>f7V?G5fT>+oiNC(At8`*nO5NguYf5?TP)cKIl7z<M>E
z7p&5%;Do#=zJG{MxGcS{hCBB;U#CX=@pDFw5jeyCggn{))#9gz$Kdl;d(+7FB~F-l
zZ~BY;6?^482XAd>OxX;dNxI*$2CpbT|1J!dc{VYV<B#5ah2{X9YZ~vl1ke9q(A9%C
zJ6|Z9fOr4;=4JrTzCO5%Z14IHp;S9qx$V^DN%-SCnwJjn;C=RP5^qh_m<)v5i?)fA
z^LNl%ob?LKHPRVJ&R;`h)cJgvTE;<b1g1Y4akCJfALYxRf@$t$mp8yHJXKUAe@+SK
z_q>9GlwIvf{s`1RpYMR_PdRIo{OrBj$nhDT{JQ7KA2?gRQ|3F|Sx*;F_Wwp^%={-T
zSova&?Ej*`y!RjYl4JZg^8Xjrm{aFqz9x-hBtI-IIjT0y;rSMA)&u1Km^@Y(*aUyw
zQ5!?fpY>n0m96l1Cm*jxxY6a}p6#&aL%x0r<j+xNH&HIw(Z^Sp<limYhbOt=gKT`|
zB>#k?vaAH)bJiaFHp14My21tFYc`xw^f0?q|6MV-R>*OE3)!C4)+!13Xf%^8E6kd=
z>#Zz&wZ){139dRD&8i6JH9bh*1M?^(?@@(&g1)ouhVxeX)YM_0?P0zG@Sf+RC$-^X
z<yRAY@T0{8KDuzSl8u1~ERZC3%?NHENPQ&)7aN5Zn80i*io*ZF2m7L{&ceq}yCsXk
zueS{jSizt9n5ksp6M?@c?cvQO%I*hY>gRE?7hpa&ufysvL**lNcUagrqeKNhTt(sR
z2|u~4u;T=*l(5w|04|%dzJ44I+vWNo2oBL%`K=H8^o16N!(Pg}t#sk;-r<f2IF!2V
zjWJvmyfSzjcD>XgYX~3wXGI+YKTSNJY5`M*d$A?J@jk)KW^nSAZ-<g#PP(n0*0Aox
zqDDGAaaM5D5~e?Ie<2gjHh!k<0H-|(^2>+qd7Em_!_2M@Z;If8BcnIG;7tahpDJMf
zus^Hra82C5rKfOSe(<>fILdSvO&!d1{@N#B*qbBaKm*(`%PMyjW^X8$e+Sd^Z7T?d
z<){u>HN(HQJz%*G7v40w)B$r=CtnSRH)(#o`w8aX#y@roR;^e~?}g<gcAG`QJ+l#S
z`(c~u%(}bqSLK|}AMojrg#TjTvQ^pDVYuMY?)XI5Pt=t5Hyl#LNE;8w+5HxqhNt9W
zE<J>M8$?h1g9CDGPbR_D!p*J}^SHiC8Gf1pOPu-@v>Eo_&?KA&pOK5q+5&$$bNo&&
z9I9UUgc){_6Qp_sujd(jVTHf0WZ4zL9~0b1*x_T^!CwmC6#v}}oN%-IsuEd`Y?qEQ
z2OrF+&{13pD;7;1;fEi-JF)#aY;L_(R|I}ay*q-eZ`O76jk_ppx_oc44!-wgJmes(
zUTA%`2EHJZo+ATKQ}@1l1HUV7tWbgr#WJK{!IV)~`;Ne8r*<Z{z-ylG7j@v2)a0N>
zm^CDNw?4eq$n>)f&YP_eF@b$`nvGiFeg1(4r{TVSh3e0+R$Hc}6)e#6=fFq!zb=<>
zYxruLb!;!(Lmz+F5l&RzzUd1r9&2Ca3{NG8Iu60ruDw65z*PBHYf0RttDH6zzT@_L
zFIf++_RT+m7&y&AjHVwpH5)u}7k-*_|H4n$%Wa=SI-F(oR&NkqlxDu239GLis2GKF
z^_srFhwFFRo+aBa+4y=(JA6>&)hn|9j2HWkPQtR^Q*My;<+zXWa{hut>W}i1|9@Ru
zU!7tB_cMyF`jGR(7pJ!8AL8Oah1qK1^P1+GTM;*F(Xp?D6?8TCvcQ9;i&P~4Pn8|h
z5r7}bts9Z@5$Gu{xEF5Y&Ywwz&nh<FH-`&yKl<H(=U4x}I0L5)au1R6+}c_>;s!tV
zFOj+l3ph_Pc*4i`EGNXmA}b9-p>UXohCit<JKs|3g~O^LQA79Ovw<I-?!uLinqHFi
z=LUV)WA4E*T#Q1bew;8KE6jxDw#w7R!IoE~KV`!LvwkjQeY=lg8>h?QjZfnZNc{=?
zYO=i&USIF5B=x6f3;%zwVdi_^6G;8xhz>Ssgc&us*Gc`cN;`l4J^8&dw+pF1T#w#F
zet_eQO+S<RQ&%06^A)zpJyDqnZ=YFuKM4O24CO3@%?`X8{|ygm+WjNv?@@ia%pZ6*
z;KN%|A53rDP+Nv&>#Git^#GOR)}2;iGuO#fQXi6jjQDI=#PdGFADOCQ`mI(EH^G!g
zHhPfyK=(lNF+E&$@#oKanBm0RPmJ*37@JlTT==Z?+csGD*35H~|3`jGZP^J=U*zWb
z0Q*Vp*})BOy}l4l>PPn1Y(*Yeq>XQZ)DLf_SS>+#)7b?(Qa==BcV8BU@6qzMlKSyb
zlP*{S=3<^vB;|9{Y+|+~yq9NJ1}UF&KO@TIVDsc3TL<73I<8&?_#-R5&j{=}L^q}a
zS8V7Q`vLC>&ty`EQwA1vCSe}MyIk6^sQR<oaoF8bLRA+Iyw<<>5BztL$G`}#v`&m8
z>ofjIeCcfhyVAZ`UW8}Z%EQmX2Id}4WPQi9gJy+Ru$%q85C7n8(b~`L;YBe`<yF{6
zd~wJT4oGvz-iY-fvwHj1ykU`Budb2xAV22b+Uo}!*$+)@Mm%IG_`eW1I4Z(o6YQWa
zV;Tx?Y|Ut3fP=k+?QX(tcIuLJFu%&rs3^FA-ZFkGY?IKOn*@J(5bwhXe~FFykOFHJ
z7Jc0gpJTc_kq=*F?yhBl^JL|>J|+&I*t-k1{K6$x4c~aSk$M~KC-K{`24;-k?!*PF
zF1&Ybfw_}*pV$dY1ZKy-C;oPzWDoqO=U(<_*gYnnXE*$K@N#PxT(0yiTmU{Qs=P1(
z$8Fx#P2ydc)|i5Qx%VpWgZF7r$*sW-F)LiWaP;XZ%XRn(>xQes@RcWT{TY@}UJRS8
z`Qh5R>I^1WPO0tf0hqhorguMl=YZG^K6p>KEtM$T87ellA2y$m+^qm>OT29($0Ir+
zucid|Ouv>AgD-5FxOfuYXB-tqj%WS*TAU%w6mo5x#9iKG)jGoI3;X2-;p(gP!_IJT
z6z@ZE`1r1?RDLjpyMHj*-#O}Rp#b>YWtX3l@T}5qs|46LXD&+!PJE^vkp%N@`$<dI
z4;6e7(OLtiS4zv1|Htpy__q$e8n@>m`F|spuFP$)jg3Gs*?-otN||<8Esx<R+5dR9
zxYaOh`D#&$Y+wFDaKtFA>d}`V0Y8qJDOrR6re=<j_;nerFY9naRj3Zx|1X`<zYNRh
z?_X+(lKqA89_M6+12lwU55kK_i`4kxKG}+IB))Zy{lY%jZr>dZY1sEkQN%$wwp?r<
z*`L8(o?;nznr?ICA=t@z;)N32c;&+iNw3^;?&lGBMIqbrFueETB84t25-xH?4t}xf
zA*c@v<gRBPg_r8KsGfzb8$3eEdaU|^x16ltUE1nnYOu7aiH|+(L9=3_0^g4tdgur*
zFT8u91@|g=RC~jsEdnWIeOIcSO+S3$vwVLjbzx)I`|A;KeB<Gv<M2^Bv3)mT&+skk
z2JrRynxhGD*|HkHHhieo!Z8UJ=V7>E2)A$)#}>mbl1<$tKHXsQycD*66{ToIY%tVW
z2Y-H%&Pmpv{UR9suK_lyu)bmnZ}jip*A3g<`PoL|CgL%=J+R83bg9#@lg(DAQFy}j
z&Q`L&D;l3-#^GZMTHY4$x8#$L7vYr~g2pEB^T!;W%kZn}!RMB6tpyXqjuqTLe&y^#
zjwfdAyA(U@W4-6=8Tf1q(-~1%j-N-w7!KF`9VQNoi?-i63)?rmsy+cXe4f!J`*(a_
z^g{=Z)=DWQ`ybG3miB>L-t=qhz(p!=&-lTuk3&ky{zO-I?EeW*CfG`m@>>6Vmg+m~
zb-k^P)VGlV+tJgj7$02b5FzcSY%^P(3CwXnu939Qjoeq6ufkuYO3#w^y{ndQG#GZs
zmslbF$K~oHviWd|<);`jo=a!>$dn785i%7e{o6UZdYKwn`R1Ar>Hn1Zw3({m--V&u
z%HZCeIr;<eL#1^^(!a_%3;7PgDS~e4Wc>1+U8raccK<DGo&}37RdlVxEUJlhq<<DZ
zmr2jLhWn8!+k8oXpVF#ya5sEpWAN8}xKPLYC_g;%^V12^-yb-%!)YJPM5k2p|MhkS
zZ-gC$rA2z9$oM!+S^TjK+)=4KOO8*z*x|VnY_M?Ml8leLG}wL|fyak`zp8@I#p%pw
zz+aO7lO*GTtp#iBny~#;+<h`WzT7RlPakez|GbHe2b3;O=$?d+wM#pa@v(!Cpv7sJ
z-qp4HC4B1EV3;`^8riNu&gXG&u2^fhIBj$OI})ewd2S1H@SJDrfEhpUc;^fk=HCw>
z<Hf_H-7^>A4Y&Uek?~~Z?H%hL@X{?FJu)8H%G<xs8<y+zFC*hwjU3K{L2!&#7B9)q
z_s@ncuE16E|H8k+Pj~Ngihw<ac<0FY)}?4J_68g>?Q1#)GyIWGi-wc*5*vr%B`Vsc
zSUBS4^!_PWmH$LnB21A$mpB32mhn-fz)hDd|NVt6%Fi=o!VjuEooC@^FON!R!y0q%
zJ}kqA8R060uv>Yr5*ZIni`zLD!GBI3$e=*^6`9KSsepa1%dwF0z?RiJ=}+Odn>ReD
z5&st7SyT%bNXLHP08{hVb=Sik$wM0SaHN*jpEg)RZ<vpa2ZlE(aCX4Koc~2Ik@)Q^
zLSJACe$jc7Uh18vK`+d1=zV${d|u+k*>CVf$ECNdu=#jJ#1FXr{8JGQm`&ne+%I_2
zG(VB_-{uahHIs0>{_H=}f1m$;<I4){9M{}K(oY}1L-h|9{=;;5FDw_(#kA=k#)B&J
z1w8O>>mk|Au;HddETn(lTXE^+HsXy-6C}NEQ?UOIxPAX2ebQfS7;n738)olettIKB
z0{Tn$z?!!De58NW%ynuNh0k*@{v+u*og(JN;b>+lYtmnEc(rYig>5(~+ev!Er_&;G
z@F7?Eg9>nPb)d#E*lGAJvkXiv^2kLK7D=P<ApMK*-roWG@HN`{ZzTPmtymWvo)BD6
zC;i9eshoN%c%P{g?-96?zJJ^rcJ5CNC+mZMo#tC~gtama{*v_fqs)0Oz#@^MCZxT4
zr#vq22U~j$NRs}en_k#90N(MMF`l&NeSI#ML*Ywf<(o)<W4o_BDI9*0_}ziDw~|ke
zR@{Y0j_|9I{${Jlt$};+g0WsMY5#{i*q1Zm2k)<hlJ=L&*O~7T?4*@9O4{FU`FX{1
z_;yV5OVa+^v*_7X!pt5s`>fzCqj%kFV6#TQIMUwpD*j2SgRK}IE}e%zfA)X+9zM^M
z^NFO_GW|C60cLytPSz1lrFUHY3dcp&Z?%P8YC8Fc;Gxt(uM4nRr1_C4xLf(Hfj#W*
z{J~)ce)052g$rDA>Qv}Dd_bf++6h*$ZY!i*$9RXPbIuL^b%NzN4b0#wZ|w>*_TKqH
z3r`iFZ1jO`YERPdfxo3YF<pl9g!>Qj!d9BWZocqkD>FTDSXOMGjt9JR<(JQYu&~0R
z(g66Ami^r$u-8mmq&M8Nm7?Y-+-p5B9SoZ;m;E$`dB0@HlKr_qFk(6lFO?Q0UxE3T
zqB*VLv>jtxg5Ys3S#@jp{i#0}uE9OeA6vS@{(h#%Lf~~q^BZn3<!-Bj8?fh_51ChB
z?roLfVepzp*!!#SJZJTI6x_9QaWoo^`a$_R0<L@eg!L|*r@v7s8g{yPS}qs1Ij8G#
z9kyKIw#kR<q;)=#c)a<|z-O?3nDgUEcyfnH&U2Wt)}A#E7Ky2Ecn2$g^_;j3fAfo*
zXomm!yXeKkTbS0Ud*E#6i^8$+o_*coeeiV`+gnL6+ebyMaS|6lX@3unV&CI2L7bq`
zk_t<Fy?T2YmKNsEPJro8UU;?&>n?7mO^3N`*9KWAEb5{wUh5^ovlY{{Y;gLoCuJml
zm{yyg7k1v@`2X(>c-+v?-3te%7|v!PzUgv{=OH*v;GHbl-+{Id59Q(8`%03t;hGa}
zpN(PH|LSy;Vf%wN`Gzo!aNjTTf3E%bI^YUFw5&)a=g;NGoAOKWLdj=2lD~Qjf7$}z
zul{0e{_q{A?kqp}@qWExQa)en3+Z;jT@RWhN&RenYUlF>&Y?-UPwHpTd!vWH;qIJ&
zeI!1^@}OxN=JIYmVg~>C95%Cw(xT38KYjQ~xO%ROg9c`{>KY?)gSbb!d*O#!nn|R+
zXg^HtD*&6Tu&k5uVdr?~LwR`Bb6tgOKil<ivm(6W+wh3&f8gEbSp#^mK5Bx*mqmOz
z4PiDBZ9TGm6=QvAYxv7wEKvcUA8oR<g+pEjM3VNv#kJysGn`^nvPjaO3z3Sy2vbKm
zo7=$R{&c1Oa3x)%6d4bSKEKl!2nVGF#oNK7`~Anl;H@#)8%g`{e0&pI1bpv?g*|B>
zm}O`8+=j)bgFcb=q}nrBD;hqhbx@X^-<*dROyc1U0w*&`dtotkw=fxQr>b%y`Li`M
ztSSTMJk`+^2=kZi{+R`rf4(YD>Yu$D^K1dUo^=0FC~Wz;kh2Ir9IQb{>em64he8$b
zjps&Qq(0_K4F^`iW_hJbNwDOBzMJ*%QS<6NQXgt>g;u<T-=DW<OoQKA`@L*}A4gsA
zCFSq>V&~2_nEqY8auKX<($3!r2c54kEPz9AhU#_0$L~9^l*7*&gDeKf?{jSeO5yeO
z>C*48w?v8ROL*wbRP8uyQ<Ys@2TwN_j!(d6ShU#Q!Ah437yiJ9m=uEFz?xc8+KaIM
z_h5}KSkXu3^g5hl?EK^tynCssXaki+U0-Q|?@zd-q`jIJ&P$0I{s!mwJRG5iwZDpM
z{(_S(<^0_WQ!24mjFR-R`kFi8lRq^BmSDLj=EmHx>vMszdD!f+bO;a3#an-3oy7Bw
z-WG&8F2p}wg<oE#{3!yvSiTEl2uJx@VxE<Rn|YFck?*an+4gD3!mP=Sr5x~*=hUgg
z@Y|2EyV+sEh{ik>c;VCYpF(gR-`7e_nDT0f{yx~`O9O*0Oh=c!lYB46a=mYt5o|4H
z7kUs5dihDs1U^N*Fro;*em!My7WRMe<Rtmt%%eTyIo7bWTidP^uzev-g(I9A5*~gW
z{!f)|$QiZ?Vjb6qg$jj#yTNxiyf)N@g9_zTz2P6cUpOt{v4<A=L9h;2c!UKUK<ngx
z1#UmgIAII3_T0K20snhkVQdZ4yn0x610Io7eC`ClzVy028ve9nNWcN+?&+O~h1u6_
zZ@9w$tSFZg;kU+{=E?VY8cuNXr@$A|B22yDn&PAXWx`z-`ChxjQyk|kvf++hS%LvD
zmHBnYLU`F+{;n^asZkhL1Zz7zUkHI)tUsq$z+$}G*1_;l+gj^W_)|>tn+SMB*=?>B
zessxx%N6+VjjTN%U`w^{&e!2b8LY>C!uC=YMI@f_PRDHo=DhTY^#;7xr~T1}4Hk9Z
z3+~kg!A6NU{3+pg&U_Z+_?_L_Gq%H5I}9FNg00O%z1d)`sUdkg_#byx3@>cwn#_6*
zUJ5*Aw+D8f5GgW+%cn2hItU+NI50!<>(LH&Ye|^>XKfV8&+=cK0m|@>AE#|p;r9^@
z`iJ4eyQU}<V3pWX?^AHneC<&w_{yTbwgLR)y3qjn-q7!|3%w6ulPx;FOmP0?nW7X}
zbn5r^&2V9&FJC`A?{=zZ3gv(EGNbMQtdo$ZxCjSPzok675&f6S`ZiKOlb>BZpb9(n
zsQdK6O2aii7h&zsWlJsavB1bI7r6N2ocU+iGbEuo46c}5N^XS@&busJgZJynP;|mP
zGR@5QV7hF-&mZ8S?p%d<*ukkn_6zJGOl6b}?~NH}Ap4hF9=Vc3;#It^WdCOE!;fCT
zx@I4XN&KyU=f_$&cw{qMKRk4N-()LnaG!0Av^RQuyV*a$C&SfG48rI9-tc$9A0yvX
zko1zD>-E3Dk^S@R!!Qqx)0si|oyq0U@384N#~a^Z8M?F)(*E#Fv)vzqC0BMBjKOu9
z>@R=8MoenuGq9!PtF~E~#=Vl8oL@)A)|J0-|Jb*X1-Q4}n`RY0@ltQ{FKm1uT<Ra(
zlIW|q2H$P|PkGZOi@KT7?^Vli=p)q&n_&)K`rR9lf7kZR`Y^(Of4D?Yz*GJ-+05|U
zp!>hb_n<01RFv+3PgO1$Qp08zziBz)QD$Y%9dOX0hdcOS{+gt4Hu$AOy$U}(=wCC&
z31{qa*AszTQrS-Jf_V(<bHw32M~rrn@@0J2t6T<t(v=-52*<}~3>|`xRlOb|-@ghf
zJ^lL#9R7yIKor)Oxw%UPeoQM?E)9R%ud+`Qj=ky0P0Fv9g!jo4uz^HO2r1v86cUyv
z;ckJ?6NliCfvl&-@UD9_Pc-3w(&t{Efu$+cxsJg}%;__haA}i8upV4?^z1)7_(I;j
zacy`mIYZbH_WE3)Z3O4!TFJP=twKYU<ojQDLi4QM;4>9-yUgJ)P7W@<uznDK7^$!H
z^PAoU!rQ7fwH)Da+qa*?;K*h7a#G*B*f^;o;F`R!oi6aenE}Sz@H>nAkPGn0EgAV}
z*!NNu7F0+1ezKww5AV9)tLp|Iv@vl{gw<%rO3C-mj#+bENrQc|H*xvEZ|(*bX26_&
zEWxC`GP<Z*l?M;p6dDhN@9xPPE`XQnCAF`?4?em4c>-%{XjF#6Eeskbp2EwW#sP8g
zuj4GHwQy;>?MMtf^x;ZaJ*>XpSu+W~JaQuDEgX^PQ5Fx&Ox4#k!C{8JJJR5TgHg@x
zu->7dE2(gc{pQ7w@H4}ZALM&*5>lTw_QJG}Lv%9XR7C@cez<FYXh{L=@SR)f2b{kc
z#E}O-zL4%X41etk3M_@YCtbWIVQF@+(IR+daUo+0er4*R^%M>~*;qUeCo<WWm&2h0
z2K|e0REf>b8hFZMW}ccF<=sbdf~3DJ9?G``UJsDbt%voUPl_|cL3g;Gk@VGg*^d>T
zp4-OR2tTK|?zsm}^7=eQ(&sqt%ix9i4mTS#!ETiYwx5H=E=<!tf#W2-#?HdssT*?0
z|4BPHNp%snXZ7&Qf`yGGJDuR|8P|8Fz~0-}X(C{oziPGQ{6`8Z^o7CM-z>~;z|AiY
zQ6<5A{l^kWf44Es<#RmzOvqZA^oP8!4Oa@`BT^D>m*Lb4;qUX|{|2;~9bv|^&qtoY
z-}YVpZUbY%jjBrctHhmPQoawoWB&9S_CJ<$(iq-nE%)dpe7&S`S_h8bU{u!*^WXdU
zlJrM5+x=tPVC6G^EtO#_#+wEG@EG%7Nm5@K6AOcSVK&+A?UL}_e6h%H@b#K#ISJU+
zLjUX_?5<YUMcRwVd`<7)a9Tln9{C=gWv9K?1e_A{MuUv6c>E1*mSO6*IlH#Q3*0U;
zi!d|8`${rCbEX+mS%?3AlH;L+!#kF@uff$mmNisx())HXy3H1K6V?*Zq&<DlGD@`t
zer0DOItM?nE#=q&o9yADoQ79;UjJr;k6cwt9f3oJ_O5WiZzD4{lkuq3E9v*_u(NJU
zCh317Fa8?d2h+U>@*@3<Z`0B<ez@jqE?XP?s3omK5+2{BKSIXC18D_W5^!OXe`q~C
zx}s5Y81~EFVO$M+Y3fER!rI}gf1kkCtNpoJ@Vm1g-;nRy8NV9xKMt3sQreK~$Ifl(
zX=h;O<8=?n_+CEmfx9_uJ3OsGu6I{$SfU)^P&G>?a=krvna<K4{-qpKK(5yxhPilq
z!qb=L0<Xe*80@s%VW(z6PCxjQSFLpjeBo`-Zx49UyHq+DUJog|Nv@CT&hnVW!Ti?T
zjpX{N-~gj&EG+78WMcsjrq~$dz}lBG9~i==vReGvaQkq-f;Mby;i*^#NAgfH9fK(^
zn=+TeB8v(IhvBN<UV?S7D3xKL9IO>!yz&Abk%{K`58h+ou(btNWl5P7fwNAl4Znlg
zvU_fj`Ml(7n*X}sKAj$OZkU&rul+Op?kM~6c3AZ`$Jlpx%X9h`7P#l;^z$K@nNize
z3oPo;_i+mDH<Xg!2oDYvW>3NtG@jinm@jqS7FDwX+jHyZk^8I1sm-F7;78(jHGac!
zTx{ixG!}IUhtxvI{4P~r?=^b(T<#6-ukZ;v(@H^j;OU<Ra(}sDe8&v|I6qv$vKjuh
zI2CsQzCXeE?k&9ajpR!)*o6D_{&x62#j{~m_&ELE^JIQo`Vlpo20Zw%^DT*6vYk?~
zh7;tPoXGv})gzBxY~er&@AqWB`-2eIU0+x}Kb(eazg6r?y+7Q(LBfgLA5Z#HJRJ}F
znLcA6^X=ZYJiC)%Nw%{t@8OwcALU}0mV+yg#5pYgUMz)A%GA=6?VnPmPJIubIo|h}
z+|N)Ji)#J=CpY@Ako)bSij=G?u<GW6p)cTZ4aXmguvd5rPdPkys$+$Ei$z_oqVsGK
z?ARmoej_Z(*?F7X@2K`1{z3=;;y<*Q343Rj1a5|XsTd^5^F{mFOm8s4jX@Wa$nz7N
znReM5U_Ke&$9AyNxAhWQxK^NlyDjWM=^RP}Pi|BzGl%bA>hz|BYqkw(orR_E#@YSF
z@wJL6u8P3tWf{#U;U|@Cv0`xU9eT<!IBG}C``vK<vxvDNxQ&hbJP&-*Q1(+J9QfV&
z4SBxRmpyraoFDVSU!qm;m-yDuCfMU;vO_MsQ9}4mJN#a9S4TGdm-6MgHkh*f@}*SR
zco)aTPS`YIvWq<5`-1h!kx#IIuewJp92PWxVH&Qw$GU?&kDM*zkTeU=RF?Zh!)|(;
zN-6OFTtY%MBVl)`paCklY9oK)UD!*kb$knaoIQLSc^+9YR%<6c%)7eRI}yHkenfN^
z+;O$%SRA~4-r1ZJE@|}4Pl09MSK0Bw?Q+dq$?+BTtH$xeiUYQu8Ss+hV7?^Gyq8LY
z{GU_Vu3rwqE<%a9<o~uQ&`qnrHp&9NX)sG>2A4Wq{^)rhIX^WP(}LRY%()d+^1O1V
zYLt;KTrYI{Q4zd&SKxvL{O%v6H+epJ`B78iS=dh?wx<-fQ`(Vz9#%Q>=4dgj)?WM3
z9zOrpFzYGY*kdy82?w1n@*vMA$0pG1^nra<6uO_o0$!tsZoyo%S<K{p%wdLfyF0MP
zDN#3)zZ<Sd2ByN59+oPVaFNR2{D*Mvo{_9tShV(SYdLIG!}gWLUz^6RRKjPP?jNax
zmu=5-wZd0I(!I&?cy>!_wZYL-JiR2&;IZKR1D0vnvXwj^ZCm>}aTu1r6XsD5(@or|
zUV&W#Gz&>wmeFT?4Yn$1U?R^$SG-T)<)KA+H)PvU4u|fE*5iXUhQocx^VG>-Bbr^{
z81GlVAHq}TA1qylvz_+qlk;D`eQ(7$Of7y>A^`3Z7`!$LXB;}%<_^CN8?2$D!}yK+
z&?h^1l_~np7I^B~i0fH6u+FxcA5Ql;#$*U5xiH+~gEJJD3r@g)yhbu4;6twW{WRdi
zSvNhz;O2Nu_QUWmCAVN{xMt{XumZevce{ZU{LlW_ZYj9!@shbbTp(~KOad0q8Ez->
z>E+xrJK=-BYWql>^T5pOZSeQA^uaQ)b%GJ)COF6I>kTDX^hmNj6|C0RxlZC$#ih#R
zeM|?g2egOb4J`{f!|>m^2SKv1Q6gOkd0#8W^2`kq=MdH#Bky}H6xgkkIFFH4LkTRX
z%t?C$wmF?8MBaygcHgg%91k<)Cfihao<iv9QFzWrqlLV0C|=urouuzDUvMDryA9-A
zxvK$R)0Al^@5{+)4aum$$HeZ_2gCHVSC4AKkD@=j1;An1KYpsgQgc#8&TzO~(DVsd
zvBh;ec^|NvL%e~c4~ya{vx3#c-?Zq%=f0S6koODE%6X>h!fMNO&x~N#w#~Ul@OqWX
zo>Q<pRi*DK*kAtd3oZDTY1{2{a2AJIBw3F@p4QLG5{_S?7gmCgwNN_S!HgUV(em(E
zR)L}|oOt@Ts3d%R=75DS-0bOKvmf?P=@9jXQ@8D=;)A=DTtbTBxWEoMvOdE1UxUS^
zaMR$nl<lzN)muI9;onR<4$;GVOX#+=!|EM|No+80(NV!+IOeM82NHKEeP=WZ_hmW!
zw++^IG!5QJkNNA&^;TMv{`bUVYFKffwD?xowEopMA$Z%Y`G3@Kk&7LR2(0ia>Ml8+
zs~Jsl$6yxiWU-C#!DC$X>TsLmrB<>&n_Gm*!E>;K^l|$c_?2NgwIy8hgqwN{_Rh^W
ziHE0ECFDQBhLT>_65(r&1}S~8eDp+84!onz)v*iKQ>$&tgC*1Nw2<}POb3@fmB701
z*(J&PZmnC}H<ZD1OfqplVZktZ#^<nV$@7(OFs1CM!VB2Lpv&SHoD;NH;}uD7Z~ST$
z9x2)A`38RM;3`0lSB5>{#wS>3-sTTUU*Tc%tP}P&@;4;w4_XZNwElqSE6?&y!CZFl
zR)^thUhbg_@V`%rEOYSpLJfVgJ|She<dFrqyT$Yg`Cci-Le{BG45$y?oWXOjYDfCj
z&9J$V$hS2(VZJwt5q@>^+A(rIPwMwqGs9OM;_^1&e8;)!w(o|2N*?z5hxpxjV+tPl
zw~OW%l3%{FcWCi0b=}yegu^6%7Uok93Bza7)6+<KIQWK1M;0F1FL`k@yz-YXKn{-G
zC-;E~KJnK4nljAE=`YOy-}UsUP=Uq0uEdk_Q|)ne>^yvdGx|Oaoabs$Wdlnz+&M@A
zSDh4}yav<spOE^4<1;I?=DYzLOCP&O{*SHvC%Ff3Qq0Y_B>vrj#W4+jqj^<$6?S}R
z5?BNu4oIG#hqo^!7nZ=6??#)f!=AS91*jR(KdJoTCf{eZj*&8=fvYQeuaNvqjtfdY
z1P6bK)a-=Sm6x04VZXc!1z+J%-_3uG;g9FdRY>_0&$`8T8vY$8n?=fBqCu4MCD__c
zrIW<#^mn_u!o3unvZTCmwrtF}3wx%>NPU1~{$_UEgM%Yz?~(7rp2)s7oe#6wRlOl`
z{tSsdk72{&>w;fkP46-Nb~rMVVQ&kpl$w6!BP^)Z6-M^wHh1XBJj`6V7EIR5JgZ9e
zeG&dvRsXFGHXQjdPtAn!JIB?+CU~FaLxC+YSD-4>NBB9_1-TutaoOCLR@fs;#gQFe
zaW9i6=VR}Xkoz9^Z!L8iN$<H~QzkEbdEg}#`Tw_d+bhLkmd|FbBz<$zlac@6p9b5-
zNd4PikT7!yzP)C4m!zlm4(3sSC41QBf52xf?Dng`lS_tXr2h5g7?`QS<_8&GjKc!f
za<(U6o~GlxB)_yoh2wN!Q=9dx)9{rStPc!fk&7~8ldvAm<~Czk$nKXWDG#pB)7@ua
zn&I8Wr2I@tkI`7cO^WR-r2NcX`p9Yz7fDcfk@X?@sy-ZbgvCdTyD3pVY2H3R;R<u>
z_bQU|G#>rJ-wifDf8znE4~6cz;l8l0YVpQRutrT$g+F}!sl|CxABH@V>#o8|bV1Fe
z{ggTUXgUm@>=!;j+Rv=!yUUUANR~znGhD@%DSR8&>YDkp6Q1*kk-7(~v(cK8_WZq4
zwoN>2mRVZ08~*4XckuzNXY_`f6Lx)3n3@K&t6jLV7rwf7v$P0~qKVMrhQ(a+zm>oa
zh9ZUg;I(_^wC~|J=90=>uxvyGDmKa|^~ZFwo=(F>Go7!ni)O9!9+*`~cy}K>nZ`p$
zj<3gNT4Ef&^n&s;D}3_dbIMWJ(!<t`{NG0>6X>R3ekuKKa=xxsS@%xBqgv&j<a}=Z
zt?=^?ad2uc$&b^))a5g9&?1#DX+P~*AHQ9P@4sqMA?>I8r?Ev!W{hvO&S#PK^YFD7
zR9oPOL#ni-ecbYH?LRu$va!#Jw2x=?Iuux8xsHktq&;QNwMf|xZ>ahfONZlOFFN>$
z3zj}qxk%b4<~PAz-0)#}t<x-U%tO;50oYlLqn7k%CNjA!Lh#D%!aY0S%-YlZGVt%N
zBjY6fncxz`L-474AGFB#uA^zB-E`o9Steg{e$J-c%g}?V8IyZST+HK0<rz5h*XAtJ
zUJ6F`gqxG}?ExyJ{PaHcN_2#GU+bqQ$7ik2=x7gzwVui+=Z`s{%k2_;-IRiv{9k3|
z3n~}jH|t)H$@$wmDWUBSi%{`wCH+fky2S)ZfAs>h-Vj{8mt)=&UKy?|BkkP<HM0ym
z*mvj5mQ1)sYh&R>*pEK>B3ZAg`mFj1ay+d2L-X&z5elP*uCUO(1I)Kz@slER&T#gB
z+q45<H|oZJZtzF87bU*%NkNDAB>lx%alOm%CiC?!Z<t=Iv+NSw-=gA0j(2fy&CD5?
ztE(f}4=(v@Wn>Ps3wY@Hz#C^i|2+wJ6|b8H!=f@?ruy)Q=sTOq_ARc*Ki&>g7wr7!
z0H-QVA1CWu877Y?Six>OIWNijS*j7<lBeMn&&4y#Fh!{31{0Wj)OwAqUn-;edWqy$
zZ&*=0Szk-7HuN3I&mco~nF+Y{<o_tT?|2}eI1b>Eh|EexHW6k2NR$~-c1FmKhQ0TS
zBqSM`DM=&}Au1}Pga%S%&q$HckmC2bKi{wK7xz5R-92~rJf35Fb{O_OZPzsiQ}X27
zYQVFCQcOeeU8#L$2jI}VUM1xFUTqN+!iunA#z*a5xWhS<OBUu!+dlCL-qg46i3Cg;
zH^A2hODT6%ioiiD+n#j58umr!cEJf0{+7+~yKMC!9{A97@sAg9N7XNOPWZw0Gcq;s
zCD*G=+h88gtFOuT&1xi%movhf*^TLn;d@Sh3TfcI(?NwLFkNdUD`{UFOA{imko>gG
zyqn>OLFY;G{kiC!wKk+Z;wid~8{FeUahe)&-Nurpv+%`Z?>>^at9f;v5$w>(G)m&f
z0+Tlyz*oO5MpD8(3~H*%aD)1uc+!6F7IGFU!Buw5Vw>Rl+O|<KSm~0QEIl0a@}?H~
zUa7y#e;euG!y|ttcwv?iJ9-v4)ajiLH%x1;RZ8;DR!7Ft!|Vet)#Uh-D@<m|_c?pZ
zY|fMX`svb(6fkvFL=rn}VHG|{zEA2_;blYm2f@V;iRAmE?O%#Lg<v&BFEjG}(Zgpm
zR0UvZ>Gox^KTYVhG9A(%R8pr|knfcjYv*u~>!ofz_iGT|Gw@`O9IWIL@Vpm}qAgmL
zffxC^ZQsGSN}6_P!*=4dNv&|%{h}#Nxbe`bz0Y7fozmaO;FsUu{dfdF=uB)if(=hg
zrB%Wuf5OI{VGjF!jV17y)$s=>VUzt?c4U9IOX_?dN&7f`n|CP#w&`BD9S%<q$6UD#
zGwkx~&WGKPI>eoW_l)1)cnjuY`aKg5|0&xh^%5Rh4;Tr9Ws+^|Ucm*to7H1sYtOdm
zNqEMlxtn}1Ug<S|)n{0x-#{(~Hca7~VPV1VV+_7b_OCng<UGfAxL|VadnnwV%N}eG
z*D~a**ujb7DLS@r@<EXyb9k`O-8BSmRjF~;gKwT1Rtkb`J5?Ao;lk1nRsHb6^qBK}
z@NLnA$wAn1<?GaLxS7e1nPMyM_x{H}k?;STl`E)igs0^mD+$5x3U?-{!<MTr>&bpH
ztE{Tls&Isc`w1%8r&c=R1YB}fVV3MC^TSe4-x6NlK6Y^dj##Rp{sBKbe1eVa-=Npo
zv+ozo7@r$R_H()O?dlo+ZCH=2N$R){3vr!R;DzOaO<aoM>XAFD!mty6?wdk5{Xj62
z5b+@gH?n_4-r^#!46OQlS~e3l?|wQb2@i(c?;`tOd}#jpQyxx=o0q!;uXQ!H{0Dcr
zJbX{~Yx$}9<Fyh@^?hmIIXErqS?+##QRc~qAb5-a+$~l3w#3i<Wd9c4;aVSMSh2IA
zm+arN({wCE6ZSjwQ;F;sB6U1~Lk-R-x)5Xq?=Q;Y*M^N!>j#d*@)c4~HQ=2-`kdOZ
zRo~H<N8n>0&xMiwQ^d57cdEeQRHrg_!g7Wu`?O%%iQGTz@ci*B<D|U(CjQ&!v7arU
zTGFgKTv1*Y@D+YOzACH;w^lz|Y=cWpzDkhtEXFUIw!%TZ#T^IWzQX~j58)|+l=q}O
z(dlJBt6;w}LvQl;KfjUw?-uOcDHBZo{<d`IjC@#1a;wfExa`?(`7C&A&%EJL*n7<~
z>ndz(_l8#o&b`R3kOT|I6^R(aYsz{#2{5(V`JZ}lohY+nG@R40m-+<k|HpYlIQ-!+
zb&mynM|010Klnwc>sNPpeKoz+4c?cj`q&lDC_Zt@30}#*)D;E0CY2;x!%tGJ@*{|I
zeI!j`;l#Fo-SBaWpl&(1#FtC*1N`}O!GFqd&)^QNSva8F*jgTTPxB7=247zYY9Mh<
z8_tMjIJDi2{{TFe5`6zByx%4C+#&ddgkbGIc=nOWq#EozdSPZAmaPrcIszLTNH0)t
z$9hnh?w!N%dPKGWEu7NpPG<<uJv}7G3{P)UcGH7zyH{Fmg%5YwydmXJkF<8=fIY%Q
zrH{cjWpC4V!ltR(DOT{|D<Qc8@R3K1KaRs&>(8zW!*|!UAD)3%I5}w~VEY_e&QtJ4
z&I|=9xVKFx!~^cvIjp)5HX9fjbcMAzbqkc>7L#o^!r<-A>m};&>ZezfA#iB=g@Hrx
zlHjN#xqdP%2PTffv%IM<BH<RhR#tu3>_xH2Mfk+MFm6+LyMkGKEX)(iXkZR6D4m@p
z^<#V@(8dXFh^oC$^80$3lTX3Rqpw&};I*Ze40o8O=B)2!c(=2|D^IxCC%7jA<~zpT
z836m$?@&mGqcrL$gW<?tp{#3g=NF-^aj?@HLz_(4lj5~TJY1uB;^__e`Qvj(ufT5?
zX8H5ry2pd}(n)+}ZTuemdj4unE_{;nqE;y^*{3s|2QQZ-7m@a|KD6<BA#A3$gRT-T
z)_Tle468_TxjcfUc>G1nVMC>BuSt6orjoI$fKy}hC7!`{W#1fXVbje#SL$IEUC$R!
z;0?6`$KJrZJtW^W!J7B7s@q}vhYixL@TH!tfC2c&v8erTVLjC?pZee&dwrKqIM|L>
zX$=1Gmc^$R9#i$dHVo@F)O;9#4YJ*B$^P6Tx5I|UVd43n=VX8GgUXWX)9|)uucFuB
z+UqMi^RW5FJyWajh0%v)OYpN!&SHA>M|n@qSO0+>m;&g?e%ObK4LR0frMLDSobcjb
zetv3JoR6ql3DSREOj(JcgF|ZbzLWi_JM7*hvcO$K^Txukb^6nWZSWZN=mQCOw_N%Q
zPWbIj@f~~NNw0Hayzsj%^t}gQr35P(VVH{Rn4%)=mTG=-H@t8{HHYk1r5-NrDhXGO
zo%=`je`nYvlP3*#M7rCM{@3C;{cQz!XK3j&(*M@KVChwa?E|jzll`b7Ouh}P!3xuF
zqmROoy+2tF!8cWFC&>O=mHWCmj=~fo-?YenR>q2>NA=*8f$ky;c)2;t$_kd<BJFAd
zADp{)$(qEuSYMO<yv}_+Sm+IRSwt_9c)-MokG}Bj7Dp3n_?`av+(kHiZ+WmOe2SHx
zKM{Vkn9xt+_DiDL<#7B+eTyL++-o0P0o$#m36sAsfBnn-F<9(`%6qckSG~ZE@DZ3^
z+rx+K_vL)+>b1Xc^3~-(vapt|hRYw=bxI_A4_vxpcaCWX?q4tNJQajTQ)vtt;Eupy
z8*+cjxkG<S06w2^C}tb1E?D*-ADnk1RB#LY!t$4f1RPkl>GLM|kyRSYUbs<ECH5cc
zlizeFpCatS^hD=3-0bNxw-5d@^>dos-vTLQHtE6pUvV-{!y#u{x{knB8;_Tf`g||T
z?2{3kmAaW}5bl?nDKdZ~#I^3dhaKxTJhX;?SLb=Xg|`k|j<JH7Dh8Qf!Y&Fs5*=Xu
zJLkQdVZGQ}7IyG1suq?fu*6AW`&00^?^&NZSPRwC2@aMl*;)Y~dR2PR2WATT+H)6P
zeJ#Jm3+_)7_bY&Td&{;4!qskVA4q@0M!#>w4?Zxn#h>&?Z!+$D4u$g-Z+|5H7u~9K
zbuc`|I_-Z6?o_64j)RB!wkyWL9imsR#KPv*=6w<H$ms9POYp*u8O1PI^lzwh0xa-g
z?<Zdpmm6_QfsH30D|y2q5spg9u=42oCvt!2RcutxfGHCb50Lvq`-4Nw>2T5Kcl|an
zrTH(O0yw5{G|vM5VDA6*27KH>MA-<gR%u%*g8lsNUe|}ecxXQ_gg2%vC~LvteHpE#
z@KbJ|8yfJA{j66@NIbhvMF~DBWOuCsw$D?@SAd-!44f^8t%D;}rC@hHLGK#a_Sb5@
zI6OF%r&0wo$!e(Wf^#SN^c&&SbXh7sn00T~&S$WvOlSccTouPC_6EM^Yv;Tb)-sR&
z)eb-LF4;r}|H!Fb>w*Qe*-z2HG}(JQ-oX=v4%F+RSnoYuH#!NA{Kyjf1y3FpDIbTi
zsm!Z6SogMn{Q}I9c{_0i4r3UNpNAjRE$<nHN1h92{ewe8is$-a$BKC8RakrN*QIXw
z{@M9+Y-|`0^X}jF3g%4HGh~Gss1qxn!8BPOHiGbOCl0^IFm1z*E4yI9kmjBy_+_>H
zby?V<N-eViX4^2?DF+Aa`tth)Y|YK|`3M~C7svG!7X9xfhaN1XDjxO{K3h92;Q(9L
z7vCW9J2@rxCt?3l9g0>sJ+{d|2%b#1DMZSnCV%-(2z-`S^*o8kT)5tl40DhA6_fbY
zjeZL$@Y+KrT5>!R*FzY};TlSTOQd`?N!F?r@L}nP-$?l)O^r^xhP7uCy`I1>wJMk2
z!hv4gUCr>AZ$Up7JLd11!K+1Z|3pSHCu}VABl|jh=B{$RB-~S{RG$Gq`nNY;9R5>W
zd*U*zwP8F%3089w=ZS}x`(K~j55KFvTOS2a$p&~IhK-MHj|hd=GHp~eVf{^MJif4{
z)~fC?m^0@4usb~a-!O*}9F^e};SA657xNv5KPK!PafCmqCVVr6m)3G4tl;FsTUQ<7
zXrpOWGnn@K!b^LYN!VpX4?e8x+T#K5uq?^fhAqRjZ@R&>$r5U+aKHM7JH9a8@T>fT
zuvKBdpEvx_S6@vI7PC@~j)b3whEhtA_+fU#aJa{Z@}>y<(%2I_cHsR=YavGgxTf`x
zSUkMB<}M{CiHj!h%Y+@Go;PiWBSh_~uEGXNM;z(l5KoFN*Wm3R-Zjy}k8gB-%!cpJ
zTR2j{x2<R<i(#M3HbQ?x(BHGZuec3I(9JY0!L=99)Rw_vOs9kvU>9Gx^LOF>Uly9C
zVdIOYDRuBUo5`4Qc;z3r?L)XI+e@e)Ud$_YYJgX0KgaaK`ww}_Jb~K_eT3e@mZyFy
zG{J#MQ!%e$wS)DWp2L4H`UthaNn^_NtuXD^@t8)KbB3y~1>S$yOXv}t&3taS11=I6
zj(G^bJ$$&d4ZbkwDpU@~EIh63ge_%yV@hF1i<pSF@VKtC&@I^b{O|K0VBVc?WAfoq
z?kC3YVWV_wp)8oGV~<5Y{Bxiw<|^DO_h6CaU!NOkIuF-A-MKOdyH;olMZ=TH!!0C#
zK>K}DFf4FQqhk!_JTEU42yebloizgg7uwR~0jG&OU;hk`NbeGIgXQgZyH3LSaaBzx
z;T>Ml-e2LT4_Sm9;Gp-1RKCC>?)gm?aOJ5S%>@$Q@mJ6smN~^UO!Dh)>~z$EP23;P
z{(%|o+62{L`jf%6zhPTBt0o25CA_I&9d<l&Pf#BIek&^BA8Zk!(j*Q)R(o-UiUad;
zhGfA#FmqP44JGVzlfOv-)~RheNehRTcnI>rzN(SZG;l>8MH3q=F!p#KBdpA)C&&s5
z<pfaC!`pm^8|mSL^b^dSFvXZ#G!5KlkUPi*%V$sst_Nd$$oqPn2hNK=6#W;zn;LVU
z3--wD6<CIC?E0UG!D0iZ<8!c^?d6NRVN2uLb5rokbA9RZ@L1ppjZrw7KHlL!*wt`p
ztQSs<ed(?azqUAD&<$_Q@l{fVt5UwJx5JGtg@^UwjS)H<U%(r-7;M*twK>Lb*2Cd4
zK75w&m1#-GS~&Rx$2W6Wexi-?KCDk8ykrA=QhakLgWVn4pPqorPsC9c!t;}T?Pp;V
z%I3!F@Jf3~=4p7o!OkHAZoCzi=K<Rt4sJ|?#~$;zxWO5YYz~QVqBcv|Irwp>(YY8n
z<xr_kB)rvVfj<;h_02c905?2Yiwc6>@|C#G!}oIX_`TqdGMgo`;pzufYG>fBnz?^6
z;PxM8qjtn0F4VW-?k#5dR&W^m->w2!uY5)I82nH^g5e8%UVqPq{cxq^ufEUlkbUoU
zDLAHrZ($=Rj{mPPuQ2@Im&^4O@MqtT4cstOOZS@{aJQw@5Gx!sejsN%oFG3Q#sI%m
zJY6aZU$^AFwh5+FX%7^E3$orH_!or#U;8Z)BL|B*s{j23kH;k$%EH$+uH?+ayKR%~
zwc!H?s2_iZC3-%KYr*R(Pc4UGyCjMICh)dK2F_2gW^&9XWB9O0Yh5QCccX#X4$i+s
z7t{eCmtYyRhP6#zus6eov0dN1;md(3`<}qAe|R2w!k2CuetZB6(H&?BhyOnJxq1)Q
zr#pWo6n4{-mA?(|@k-B)hi#0G{I~&o{`+(~4%SfKlAZ|%J|6P93O5VyFiC|!ck`*H
z!Tf%`OY!i&BiA%@;PmSj$Kqh`v>}!(I6{wWDFS|Z$&Bp=%(9qm90qsOW{h8h<JPSg
zePPL1x|v(>0iI7r-mrdMLKMj#HMP595AWUfJGKbU|NiN_4Sc2H=`4wFixYUK35OU8
zERcB1ja*3$Sl0aR#RAwej?Y5|u75#&xddkC&UzyW7o0k3RSYZeTDgnB$1QK#mBRuO
zov(%9{U7(NkbDLMQ-<wuaZ$)x1-$vwD_0h{DEe6&$$$Ghfu0uD|G4E{4gCAxKNo6P
zdeR`b3RVw&wq-34&)=S0&3_DEUzK!Og-2HV-0I*neT#HU@CGw3pJ(uDm+jf_@Z*;@
zDh;p}vmo6x%v+dys0C(-xpZa{ZqpuOZi0LHjA#eppgU|k+TcFMy3?QF9TCUJUc!P~
z!Zvrobso>Y_P{@n9eUXTFLnN_?S^ku(4K0BuW(v4jly?^n|D2h187q(55u*22`x1+
zYsqNVH<+eUF{T2p+QsfX3x{-33f+No>(YX0c4GWpsF<Gzb9bM<M++YgbEhbRe^ACg
zV1~C|tF*fXvuD|S-U?rPH}R|#etR|aD+fI0EW}p==iIU2<AND}nnYH@5`KZZ1mQNy
z<l%C-fXdQh7o7I3L8TUE%nP#F3%~IEkyi~%m)NFAz@iTY*6U%ED)#_9DiB>y^7Y>)
zyi<m!8q2t!!=?5U!^hyVNj{}I_^Vm}HZ#~@@Nf=^U)S6t=mP(c%d92wCw6=1Ps4`~
z`5q_d!??q7Ee!4%D)J-e!}+aETL@fe7|WUuPpbL7zX*S4&Fap9CA(a2Tp&L`6X=r)
zQx<p^Cc*iX;a$maxzic1L^w#!#ybv9kUtxe4Hxv-N=3s_vDSw(;lF3p-UY*#Vvp-y
zhu?lbC>aPZY(C0<4ZbtM`_=<Ksvs|L7w)lTzH}C5*4{N&49iq6?R9{i0$7*I;VXAO
zC)mRIbsL|S!LBy#d(7dJuJcV*u-WS;@h0%j(SggAaQWyBF<tl=TXR|+EYN=Wq7EF_
zaNq7B{72bWR1KC7Om%92|J}5UQ-&9eBBY<d`u>``<ze>A*78m8sEOnSS@?L4Hsy1;
z{K9sTJuu}70h(60cVzYaZn!O*zPknH@)_O52d@l`e(Zn;v|hw;!+M781#NJSLa7id
zOwFEK+zBtnCPi<BkL~kNeGPwzwQQn*O9mA*-@_e7N&@QvcwUqsz|sYOwdHU839r-K
z<s5;_9X~}Zz@-{jrUv1o-OqVv;0GLrvlB2EeRlX1{O^L?!!cOAKZ<7vE*zbIJOk$^
znTPemDd*l__zVlzt8jP2gSPRBbFkX%*3fsbyR7^1udrg!>dsc!A&u9130~*#2yTIM
zvMEIuU{|JU&U*M@M7j8HxL+nZ=n>3cdu8PZ{4m0mqZ0PxQ(XHCf8bUKEQdMYuBDUw
zfo{6mJlJB#jqG*!{@nW=xiDAaIp=?HpLs(~D#<tJb)n+I{o&hr)+=zz`i6a!@Xu<G
z>NxnAewGp~EdAoY?Xhr-XfO>8EI-Fn6$aD)WuRw-MS@1RhQNPl=RR(Mvo>^8dc(rQ
zbfX;b?HFxOH<&Nvb154f@Ae<F6Z|U7vw{b{<2>i?04M0`hH=5a?|ovlgc;5qixq<d
znY21g;IBh_jCaHP>SSGYVZUn}ClA3#_e@Nw!73^<lIn1(Vo&UTSf}-^f+4J>%X#QO
z_=(3RH)D84LFCo}`0;a@Xg@fGizQ4FE(!>E7yxUYU?1EE8(u8_R1RmUQFaQz9Oe4A
z%i!x<H+pfx=an~>KZaek2gF(7g~h_)I(RjB=ruk3^OIimOZa5w-FO;!E6+Fm7C3Nk
zx!Aft>X%KNc{iLY?fH2HPLdK5?1W`R{4OlO6lYvTdSP+<&dE8L$(?4Y2bQk+aDEC7
z7CZWD0G4u*niz+lI!rcxf^YK5$MnM@1wt=J;R1t8W4-Wg#)gz(*xxbr+&h?|`}fr;
zIGk~M<Tc#xb;V%<u8*3FY=QSZdg(k1zbR53ZiM9%ZDnR)&)~xmkKnt<ugHIg6L)3|
zK7>0JpT8#gqXW0Ni{SOC+0I2+Y;`f@7Cb$~eP#~sl-uwm6&^XO=Jo^D?$qVH0$&dF
zqgsFuoVT!ygsms8Z2k=oUb|Hr26xi5USEPa+VB5%g=3Bl7W{$d?f#gZg)3aEsF&f3
zQ*`@`;GN4)=~m&A)nn=Uu(!U(eo~&DyPR0X;Yc_2gDY^s<9j}0BwpU@LXOAhdEL@x
zSl7AT;}?9qZ=*3ayz$)2E)u5?*evtS5BERc`yWVLk<mE$3!J*IdOs<@`N}cRPWX{?
z+CftOHl}ND-oQfd@^6s1hIa0~YB)zJ;1-Gh8=Rnj057`tDUtGPNRI2?gohp#sgUyj
zr!IE)I^4OD{^L(LhJN>K609QC{plZkH`h%kk;Hw@-zNEwFT2h}!(Bq!C6wG)Psk}h
z90f~#DOFoTd?~l=f+yS_a$0i};xW7CC*9x<v$q2qV5b{jcUi-XucAk2VCma?V=UqO
zru#}sex%nPA!9gG_j5Tt9JP4*oB_;tOaJg@c<7dMqcZ#=<kt}<n7`mA-vK!HL1z#(
zoZy~)gA>*iat~vG1?N7jvB3#cquXg=VVX{58n~!mhlP|sJUV5B79I@PK~K*2+Et$o
zBfeOVDT&`qu7}^by*J0;GVj8+k8px}VN@)9Rc`y6A$TV9*Kjoa_vRZX(mo7c_44|_
zQitWwkoGa;DH`qxPv&luBkiMa2Pe;ISp0>*0%;$&_MZ-Qf^U{fza#lO^L3t>z&ejE
zbx*@wYF9ap;Vt?u*GYah<%LH&aMxht&2R7^cPIN{5-+^&PTEJ5a$~JB{G)Esi_}Mk
z9$K~oa8cEpgXDNVnyl8y!o@6S50UHjY9Y!;0v69zXZ{P{@ABOy3~NoqZ`+9T!_)V`
zOAt1==`c*L-)@c~mYwi5kK1G9`b}hyd$7ZM?ZfVo>&L42k%<|ueDI`#TtB{jEba_&
zM{i0P9qc8yiE$I0c>i@I3*1?Dz?BmIkG4RUTu-en()53PP(Qvh9OH&rTr*mi;i~t;
zJUihWu}i1F!rjA60s`=sZBJgzz}x?heB*`dq$-_9;owC21z|WkZK!z&HXj&xA_N<;
z^ql+v(=Tp(wg(RVzSh_c$NP0Bh{C5kemJzlSD1e$Nx}Ff&s*X9FPkkT;D7ep?VrKS
z(__|h@Rxo2pVq^@UH3(0;jLX#w$*TIVB20r*h%nMeI-npk@0&UT*7tKx&+?3<Jp=f
zd`0pCM<M*U`C^*}{PkjFT`sJ3qwt*(oECfEF9VhvcF8q>H>lrby$mOOk0?9|&vy1p
zUVu+?sd_oUc&+knIK26RQg8r#z5VNqKWyX`eJ=>+FZ!wz0n4X`R$YLdRi-ut!)_k!
z(-+}YpK+&iuyjb{Tn4;<u7f`eHuYl{%!WUOyo@>zJ8WE)sDaHmU02A@b2(T$*22?&
z?Jc6=qT^iN{V>a^90~IGJ@CAu4}O_c^2QA|Z#<<n2e<OkPdmYde2Xk!;fA~1an|s^
zYiXPmJm?SO9r8`#?=$REYlt5W^jFh^>t=7xZ9|-+AkR`0KC_Ge5euBRT=nMwJiVd$
zDKC87kF{nWoYStHzzuKPEp8?WpWWD#ya)D6jbaglC2Vz1h{BFV*%kco@ueR7eQ@Z%
zF;^~l|A>yb9DKw3AN_V%{1C0w0r-H~wX-a+fm7(}emGdHmW~$g*59|L3J+W~JxvWO
z+`98h8J4N{+`Q(E`NTH64o%oRbBpsTyqepYp#isuiBK=W8_Q*{8Nph{CeOdY^RMzx
z8^AM~UiOplq^q8b8LXGG@#z>W^yHDe2~0J~XZs1(W{KAdhhIEAlH3L_InA(y!qUEO
zQjM^J)d!yIaEfcy#%lPWT+Fe2*rzbju^yfs{(Pzr7G(C;FNQzP3CVthv#0atuEXjZ
zZz+C-FTRVU&V+YU^l$nC`_VtReHk9GGugZVUpDx)@e=Ho8s9w!r+yK=6$8JE_3r%(
z7meMqiGa0_78d-0XNLyY{NX=C+ip|v;&@XzPWZy2y_#O@h-=U5{dIx!7Rr675kJCr
z!Qu>jfp=7y3V!_Q@roVX(x9cb1#Y{rXl4VS<qx2zg>~~qewo7FTD^?Suxp!@$uYQZ
zkmeHuOsR2Y`3PJQcXD7mEIr+5qzw<4q!w+3KRo@tpaMS~QY+<yl|zq}D#9BNx&`pS
zyQ|}MW#A$~rqI1`v~?e~I9x+Fb6*0M=DXo62UqpRRUd#K-yPzUf|nlZ@~Xkll$}RZ
z;Xi!W`L*G1^5F-S;hO~>3A*qn1&V+AuxD_~rDL$~?QNF2aLp5!4UX_Et;X+I__jnB
z<yrXJ=n+$LzSn<ue(;9Bnn=Dcgt>Xt`hsAaYm(9haK4$5MmX%Xp7Z?y968gZc^=+f
ze^svn-r(99d;u2xh5y%rCtn>3OM*}DRik?dzj<L+nGAn^wshtxTs7ZTl>yhgO}=;n
z)1Mlh$$}rBxGLNNM?O|uxCeXeJ9d!Nx5`CJ;R^Ur=!R<~{=D;?%zI)6O}AQ@jj{67
z2UxV=YX>%!RNX`6m1f0<^}qISWl6B1==)dJaAR^5Lk4^#_(xX|tZtMUkq8@8IBgDv
zmCuL_r@^%+d{{E!;inWv@o<9XyjC_`B9?eR1@=h4r&kV}PQGj*@sxxAMOVO9h5EZv
zVef%27hk}QH%}=hz=ImWPg~*ThhMTtynyL@(+9Zfbc!)4-%M)kN-rGOv$gUn%yV3N
z!yN4V<@*Z~&(G<U`wknFx(So=uSTdSuE9=hb3<2P^N}f!4gBa&q)sbm!{1uZ`?JDY
z)?1E|@`g{#m$Jb%?NOB^-a3(ce-|vZ@ab$iEX8j+B?5Ci)Ni{6pQfn$A_qTtnsJV_
z-#eCpd<yW+!Odeg;QKtEgtXw1R<-OL_*L2sOKte>!TT$uzQi5aU~2}a(f3v4!9j0d
zryYl1_8wv>g5O#0$#RA}<E>xi!`XBj-kydX?!DMu0(%5mb^F698gEB#!P~U<(FVam
z4RRQ3p+Cq>X1D-%$V>btzpp9EN8=*Afi}hbKCJw(?QjMhcruvjE}U9l6_y1rUFvry
z^>?fMNW=|T#`9Gh$zQK|Q+*T8SlTT{>aUCAu1EJ_R{r0kBwvnV=l4pudeuaY)YrUZ
zkL72uG5z+H8u-vrSFt8|m$LhDQoj@H8zeg6QE6`GM=(=*<H>G#_>r#%>0e*popt^M
ztITM&ll<j>OSuE^){Y#pRyb&g`}#OM;B`8d)c2!z#d;>;n0rqqU&CpprXRn;b?q@~
z?eMm1&J6Rgyu-&E-SAG96sDi>`=8l=-@!+^i!^`3e4l5n`d|i@_lMWvT}veoKfs2L
zbX6M#FdiM(_Wul1Feuj0!SN?4yC&dgo5BQ`;Hl?1$v<GLo%e-yz%maFzAnO224XL{
z;Dztvbo98N&3Ze&5`-C#_dAjMow1yKuLL|Zp`<PgAD`m<AOhDUq)y4fx~HE9k~oLA
z1C;^%$->K@#I1AcijCkJqlvLSaJ-HBDF=9y@TCzUIE*H93mG3|HNV(F@=N^(&XV!N
zcW#&Md?cPL$>a&!-581_`8%%GzK$dw2npwgla=Va$#_KJS#=dJywalInE=a1=~uGD
z`qS6^l3=r(3)7r1OV`-@tFZRy&Z%v%ikD<i7TjW)WK8m@?dtZC@ta!oPD2*BC!A`a
z6wVqmi6!};qIHzW`0vrllTn*sez}j)kKi%$?1wb4NiO$zBYduct9k?6EMa${g~UG@
z%~Hb0e%zjV4Lj7monFQDOQ!l9{|;VZr{Z0MBg7=W^uotN!?=FI(KRkf{cuX;R2<2#
z;Qpga#>ZMOj>j&;I->FmbMV)*m!6RNl6W@E@E7bRw^~Q))0f4X<rP?kS@Qb=oRGS9
zjEu(<Y%{-of$wF?{icGYEH_w^{3Ab_Ygpl$1PAkJ_;1i3OEUhCy?gZ%$^R{<{)i85
zvtN!U_1k%$pADHmI8L4T^%-tzqvHM#eii;;c?7OKD*s#_P8$C#M)J7?!}(O;!VQYM
zNqc$4SJtcs3osR=k^G-u4n&jrkOt%2l|ESP^jQ&8*h$f1Z4kCDS(zmBshFMDRzJY3
zMZ4n3d`riP?sPwFVqc{l1Y7Jr?DQVKJUH|<1kTvJKttj`WFOF_!@YDun@Iee%;3EY
zcsTz<5oyn(UH3Zf!~c!1-y-e3`B<;#1Gw&}TGbFdv?i`M2uH?RReXeB(pW4E!&Me^
zzb4=}v=e)`V!nBAetl&Yel}kj#{@e_|IS^6<Jw$r?}op9Sh~IfU*ngf6oxhOsWeD^
z(UzOyRe`O|sI^Fa^8Z&9Lgv5UtJ*5Jz}?;Kih6MKhqu*R;onR>=|^Bw_kCZt!y?gJ
zevtV!jpf1lov^Tclc6E}%7X0#X-`pm_cGbTdn);CNqakUZ0M{FoNq<bLE5K5jk>4@
zT*kNktqja*G#}#%FZ$3N*aye(8EAyT#f5At%CNZP&%9t*EZW}A1U}kz%Z#j7WG~BG
z>%r!uG^_7m;k{b@C*U`3JJPpcJ>;zcO|L1OxFu{qBmB$2HqRTDx+~5Y0>}G2%MXGn
zr|QlG!Vii@H6vkt`z;s9de5$YZJi5nGX0gYB$&0gu_gh|5^20~9X1UVf0P0nXsQ3r
zg=dH7zo)^s`j1-`!h<?i%Q^6<=lhzQ@U*zVo;<kPc82vX9B-c_Q3!{+*m)JhjExpf
zMR3OhpLh4+gX7Y!)i8yO=>?Ln>qu4b5H5Y^H1z;Zyslo>0S~8T|0Z#nF`kJxaD8l%
zc@;eCeTkA$5cS(G{1PdjnqOA?7PufjSRxG$Iy%`a0t>A<<y?d>=S=7Cg1fFb9f*Rj
z=+T#}!PaG5cl_b3S?WL)Sg(Zlh&wEM;zg7RTuObx${CiPeRRYat~`_Y*Ba)a-fLtB
zv(-JXJP!Ze&CO{8uZOoDGlY3*D+GPuMP>>oZCH#u_p2xT^8g*SDqQQ%_VYZP!Y9n8
z0Mq*ZZHR{JDy3^B;bkG!mMidd#eeQ(eaxnTKj|{Ocw3E00KOXGm2nHEdM?4o3H#FN
z+1-TYxs;!?!2Abe&OC%e;~2YW;iNhXnQFLOhtG!s&fMUs&;&QEeBb>S^~;P!o#HvX
zfrqMX34Z-RkM0AU|Ge<iEPSMfqq`es)_oi@4qsZ_+BXV6ZFiL(g2OKM=MTeNb<tft
z@Mg}|qHpkouxK2qzy6w+JZE9)05#E8*htLHe+Ay%{b{HX*7+i#@(Z?)U5<DJhY3<@
zZW6+H<Xw~;S+8Rbe8#X5uAj>NPzvANbYU9{tj^1mSOoXasSPl~7MY6TWWDbFyVX%H
zc>mM#u`IYr|3L{SteW#W`U*U1LR}*dzb?Bn7Yo-2REPfun=Msd4u_9Yja)Q@=PT9!
z_`utrDLpraW$d^uLSZkf_7`@r3#&e30Qq@2i8Tk<j$PO-0+t^BvEeNIK)CiL$xo59
zR&a$&&m{?;hs%m~Dftl7a7CSi#e=VS`@#87z7NO4Q&pCJp|C-1kYXHsabtUFIIQ_X
zH!B(bM4euKp5!ZZE?t5T_($@@!|e_}6?t&PgdYDDI6!-GOD_CzT{AfymKePJikv_C
zz8$H#Fuy#lPzmgRV<%-kY%O<ll$`(ciFvAG_zK021GTWkaSGp3_^?aK3b}srG=2UL
z;Mx*)lNa##zc}tku#1m}=P)eu$eHgsd`IA8+W>5&n0~nh?&h$MBkQ+O_Wmgyu+o91
zu`lr6qzZ~oxapeqja68Y?<!R<Y#>|s=Qo_VGUzh^?^)kfOX{=l&ldl2_#;i&RvI{5
z*W=zK{M=W`iwW*xIbQJ<{<CzcogUVj*fcW-KdU<;#tLuno}c{zhm~i>Y=wuP<qQ6X
zS>GHRC++F)jzr;g*h=x*L3UVoOx=cJ7uFvt%yRkQmm4JPH^b>^IX}7Kc<q@?I=KDh
zF;ijKPO>M51?Fx@Ef<6{m(seo!MvY!827?`0j_=gaNCB4Mv}j1Da#@RZ;$ZeC+$Dy
z@n$v|_-Rm2k0_j0|3UvhSYI#pKN+~UGud1R?tQ(cPWlIi^wXD*!dy#t^GUqs;-edW
za8dof2GU<d{_Z;M179mkwk5|`(Oc>g3_mQ+tz(02BAR6bVc*|BEXny}AJ3AHfJMF5
ztH}8)etv%~6fWhnFr$LM7DrLUz#G`??vwt+`Dw<hC|E=Ik<kjSmy+1YjyPC8yW#Fn
z_(ot*S}d$g%b_<1)16YwxCD3o;VdHki_JGv+XVR9D?e@0zc|=(IHbTm3Vt_7V9px#
zMUv0IC^q>PzCgRaoCYV4?N)gWf9=~=Px6^xM~^ha>-XEAX2H9aA{0sgVp}(SAp>?g
z|Ea$Y=GvYbp9c$jb;~`3|F}Qq%!bYR;{$KQDtAwD=feg`QC$V_vwtCzB>&*@fKLwG
zP%k)L2u}}nzRrX-wD;XFfG^(?_aN=_Pr|3l5_pcD?-gmEvHIVFi(w;~(6gldud^nG
zmBUW#uFa(VAD*mWxC^(33(<JPUP(I4m9XH{R(mp@kj**KOY#LoJSb1WqOJ3vYG7G<
zs}m>TReH*TDtNB+;Xf<5xjwn@G5mxn-`oN&R=nv}2a7SU{WgTPJ@$G&gKNJ}80*6t
zLI)KZ;6X$6Wlgw#pi!}f<d+NUYrtKvx+t4qDvy|XMR+f@$)+}V+fip71=wbf<Lj63
zjkC>PB;nlI;kR$#z~+KO;_$roTt)}{NP}`p2<G}VkoyUicdO0fh4a3AKG_S`8n7#o
z=MlWZ3a;Pa2=NqcCU}A2;D57lyZ`bGHQaYVNtIC;_4h(|$qL4gvEdql%y9Z%S6WKM
zpT_aU$in})=3Xr${)&5xt~AUPZ|U+C?lyJMSAbblsaj@WB|+UC@^G)Mm-8sR<M}-2
zA(&<Q3C94ueb<LEHJF=y&*N@*HeO&-8#d4A*xm^ni)=2_g13t()wIHrEQaNJu)5GE
zrWY`E`c4%cSkm^PaW%Zx{)Cz#JU?hsS_$WCtJCVkJQthvO5jhK;ag1M59e))is1K^
zM{-F1jbBP%uEOq<5!cM&uYNrmY48f0vlGdWJ#c6;0j_#;_0$RYokG9zMYv{vsH7#l
z)%M6pB%J13ENu^4^$qP0ho7eVJSX{w)apasV6F$5O^&eGLBkJcVa+q)2_(NG{Aqv#
z{DJQJrPFZDZ-Y)-IC3T0)EQpSdg^UX@_BEVyTNl;^g77%ns<lKekS?-^Lv>N!Lo)C
zGaj(lnYz<t{=yo6vV!C@3yae2had0od*BP-=YHTw=09~kDjJ@!T4l=ZT_j&qM>7Dv
zuxIB6GJle5lVI?JeKscKbHXF_vP_|H#~<cZHu&VW^*oZl(DMBt4g6{5?~QPHS=ldx
z%-=K~jh!a>dt@dR{$jqz$~tg18deoOl|tr!Y&_3pqTp?zA7vNdqyMV^i-R>6%r24n
zW4>i%Gs)jux$oT|+)QQJdIk39l!_+v(OVA>BwvQP6Z3`0e3e~DDCH_#7{U=w=Ce1L
zs4dgrY25@~GT)8eFk_ViCqLQ{MCQW}h1vwOVAol1PBLF+%`V<`16KMt>GKf&@iXq*
zHMsoLan^G9&3A|STky@!R(CT0ruiutLGm9l+^fie|8@P0EP~xvxVDh_yOCvHFNqs7
z`^=N)A3K6heIoG_QKQ=A`NppoY%=-quc80MPr|oFKFSuurad=f?coobZZ{RcJyX%I
z42gAYT1rU1&36HPxO_<S63N&6Vb@HaM_3iDB$dM%vu)fO@UriSSsCm<s`OM5)^EIg
zybAtjTEMOV-)Z&ZtAw5JZhu6cPt;`d3Dm)2c|qI6;hw%tUus~!W3yF4uvwYmw`TZx
zdFd%$m?}o5x)JVv$xF)y?|Si};VT^K!^%$sSCp5;eu1g}U1}uHA9})lk{CqryhHbW
z<N{pJb--*3JfdMFFasxUJZ!-MAKzR5ejGO2PtVT=uf{6*_rs}vbV9q}68oIpWPM3j
zqhnS8_Tk;xM%J&^-`CGc!ERsOL&<tqm11a(1Z>0botv!RTI9?>l!NojSp&%WFRx-*
zge=S@mBC&OA3w1itqsRe{uCtZff9>%k7~iqGeIq6z0jt3tDYVl6rRd+6E+EWwf!ip
z(!%yE3wGX?$YudsIjeh<_1=rYD#K>5E_3TPvL3w8^~dN*c(q`vg{+rfbt$~#0B@~u
zI~5MkR_d2}!YB7das<JbkF5H*!?%hyKlX%EKWF%d!ex9+Zsd7HBAc3WFwDA~$><0l
zqU%(RgC}fLpIO5<yZkrD!oF8|98BS_j&-z`;A3%YkB#9}C!5ZA*qNu`1bO~29+KO2
z1@2DDsy+<AuTjmu3_Hf`GAGX;&TOm9y#}ic($bRW54}^yCv)K6av3Gku-2Z>r|!cX
zc4pP0aPZG4$$Ri^-YGMFcvMdCzczT(*Wu9)Sn+uE>PvVj?}rs5e4)#4;|ko@p7d(f
z3*+~*zuJDnNiMrxmf(;O_SaOqaXnRUam~RrrB~A^VI2*XhDmt;w!2rE;e;*a9wYGM
zfn7F?aFN$hmR`6wOWckNb{8*i?1HWS-V))2pZwH4*#>(s-4NXkZ@+zuwFTa=W&6S|
zII~OR;S-qAmvTuKPVu{Z`XT&ev(F=G`0yqvx^nn-6vtB&cw5$gE%|U7Q_U|kxa4P&
zU<q86WxnbSGhDAee;w|>c)!sT4luM8$$)jgdp3u|ZArGhSK#+SFA_pYynrtFB79Ij
z_)<Llre{qo29~qvFo}b!^zL?qz_~6yW>;ZB-_$UFm}z$-cN%=eK#kWOcGXGd$${5+
zDgs<!Z)S-ylK*v{{;?(8yyHjNHP}==WZQArg8z^o$=|6UT5SN+mQnlPg#BsL8T8<!
z1(Sm};7S{f@<XuG{<q5a;K<;ub}DcJ8z*%s{8OfpVjrASeSzi?%&u|1QX2LYfBWVk
z+-4(hA`1JxAAHvVJLPFu^TUmryqRq<2mh}%cDSM6BdZrqWX>ty1`kb@*?oW`ei|5U
zfrYyl>?h#hPoF8MVWGgiqGNE0U|zvLPptn?zY?8+O}i#n|G-s~lnYbvN^tJAMfmPY
z_QE%~vUv2zJUq7beeEpVbU!oWGko4<rEUejd7e{y46fyojQRzC|K2sz2cLC(614_%
zW-_UNgkKsiX#a&jI<$_zfvI-}>ueOo@m!=l&;ci_-(#kL)gC+^Y=TE=s#%y|{UDK~
z2Kd~o$zFQ+0ri+<4ZL@>zF!{pS^uDV8~!((yL~?_V724=J=nD7)DBZvM8#vh04`=a
zW?&A}f4*Z~3Wo;u8%4px*-zbaVQIJC_-I)0!czM!*yN^aLOjgaIU{%zzRjp+90%W<
zu4&04`8PvMD&cRR6nZYg)}rn^@54b(TLPkB)}*ssEpWis>)}E0R%Y|@Mp$jgm(L4k
z6pEf0f<+u^Bb?z-{(SCH_^#dXpgYX1E6p<x$F85bbOwInXlA|umm4L`lAqsZlxO}M
zwlUMw@PHY|Unc*7cWm&?4}k04%&%+~!~M}`)X*FL$`RK_2Wxmyln2B6AHHp4fqh3F
zPzS=V2dSvG!&-7(CnI6C)>JA1SS(y@dk9QN`|h9+94V~j9Syf|k14Cd(%!A_$j=|E
z6$?~{>79oq$njsQI~n8zpW1S7!UtB~z@+L3XY9$1b%Fa&IIE?>vA6$yISxDWZP=Uw
zpHN;*G=zgPJvJA?$9-f|wc&{egKBqRtG7xEB(5;vpxy%azpT{Pf`<(ULterZ9yO)<
zaLGo_&>py;)zV4_KAMtK{Sl^WvZ^zJIhyLKhhU+?B4z`auR~>i1b+APw!1l8_uOXw
zGwfwJ*J1(-YtHQc0-s#LDia*NzFBkuKG!A@VhLOQ%WznN>)XWo9N@svT8BTd)wVNI
zcJSokQS?-p-*Q`j^@L6KZ2GWi5BlT2bPaO7=YQuhZHDW|FXj8g+wz;3m|zLE#^2=p
z?VhpMVS%FpYt2I84Q3Z~*x|E+(`BT7C9{h~bHYpg16$6)<u`nzcf&fll8;EfX&6tv
z7(7<Q&wd_OQI4xufmbXexx?VN_e#IiV2^6|5E2j63;$&RE9}n}CH0}_pMtb8Ts(FD
zLLBVCVkvC_cUY$nk^I94I9#k?dxwYvNwD2^B^L*H$uK@O0oGJ(9&(1O9W4z=d-L$0
z8FGW8TWoKW_7s0O!q^)YKDfuB1aAIZWE=$V-nyp_JD;hJ>n`s<2cJ}^k$MH6k$Ap8
z1U~BfsIMJ1Jmgju0k_MBrw_o%TV%@u;pa<{%ERy-{ZYO!m|FDEAJU&Wzdpg|0pHlG
zq5A{243xI?f*<zoDk1%2M{ezLeOPAZ%TGG=p90JaJi727k&RiD@Lb{so_+9%i<PM)
ze)^I6#DDPcj+b&I9yOXZMy^-Gksnb^uuJ+8uI=!iuE}9GIOufJPHK3-AViuQ9(t%`
zO0NG#CAZ7FV7~pmCKRydLs^C0@JUhGR#IPf7PBoYz|6_5FG+opEgr~Kf@h`tDM<cs
z*_%Ha@N+I23R3^Bi(e_wf;)ddQ2YxIr$keb`&Z`~RmC5$T8c)A5q#VyyKDtE3c!~Z
z;DT4YWsC5+KU0iOFvqWssb$zWxX;xM4)4;N`UdlcrL%g%t>MKMB;O(<xHA%VR1vV4
zg%`Nxf}`R88s4Um{1dezy$SH(M$MEdII&?kG70WAzOjkquQIe8Amf3&Fvd+2@Q;j;
zNiu$D)O(^#^4E0THOTlO;omOhVfdn%z}He(Xg;c999HS4DXxc?qbKeUz{#f{89sw2
z^3{b#;p2|i={w=Foq2+v;M2Z_)!pzPr?so3KhT~0&uaoMZ#KS4`U~#h369UOp~@Kz
z67R6Clih&vS>M<LbrMeqK0QDQ8_jAQA?4>ze=VvHJ4`blCFjG*m^JDseCx~ghM(|g
z`^<q8aHX#2(|_>a)jeqzaD)88m327(;Pyp(xXhaI52+t7CX94!VWy^GSz0(dOrhu$
z?DRBBjt$n5D>8L}<y0*_IN)`@ga>EgQl>wiBCu8cjJ*^5<!)bzD7?7Z_S6loG1Dkh
zhJ*Z-T1edI-rmouaLz^!L3en+Tk|xj|G#YwJ5R&*BUJ)M@RZ6PNiTTX>xhsoycB6X
zNXFmc8`N#=;lc-EO5}Z^(vv;5q<z`-sm+kzSI+o8i?pw|Hf)Cj;Ja+N5x_x3T)G}G
zSD5UFI9NSo?hc6;cAF0Mz;rJ@J6XaNNm94EVIu+l&1AgZe`);oJUq#N!jX*6dv8^{
zeuG(OGdGd(d8VtX2kl<WXC7R)`wy-erj?_CRc3}M_rfDX%JQsmi=yFuVR-Bt)!(f!
zZO;{B9@tJr{2w2Di2LU{JACZRd?OEhcjx|_%&>UUmgc>1vE>zmEihkC+eI<>zxtj9
zQXeRlkHt&FR@q_Nq`ovfV=<J3vrjaB`GxxA_l(WxAgq%@o4E*U4R`HOf=g-*6u-c{
z{)TMouq?}bGO2%!@8||q;G-FGvcvGnuhD~AaJxs>#Q}Km+`)oFaEd9%-uJMMU}eEk
zc+0&9=SY3e`EmA)4ji-eN9Yxtcv9!AIlRm(($xgBcdtpB!U?ZDd>_LShd5*}!6Dyr
zcHf30x&qxU!|HrTWADK;I}|-CVJ0IFdD1?w<`v(mg0Hu-r`>@MJTEGF1*dramqFq@
z8~G;N;U2k9%OoyedUEPB+`E%kpS1Uu!!vweU^%g8cZ*<KflmH)*s4F_9*Hvs+Mb{g
z$NAbPN?#1`S^IH<2_AR6R(lhUa8Jl!frnTWcHD(int3yM;lF~pjfL<fgC|}5@VelC
ze5Cw=e)`>#aN*9l4)Xgrb}ll=z_;DF#VX*>YA+cN!!wIvdr5gS^L=%6VBHj^coIKU
zzNTXiAJ;t~Px_xs(FZXWaM8i`)GD~1TIu{L_~77Ym2$Wm8!?@Mz4&~uJ%smbhdv8{
zuM|e=RKo9nDX#{>w-o7$9>Li@jjI>nBZbt*s^Q*)iSqHVbmFD^q<?FUW7wAoI}QY$
zsD*F44S8k5Y^-Z_q`%9U=JC#l*%!YtHNZ{U%cTYI!6;9+7qGwuxv~;ix5ui9T>mTw
zrs-06;L!kI2W)%NX!-&C^L&#(sV}=8OA6M&i_g{Hllr6==`C0fvr_F6dkdd2Hnn*Q
z`(M3z;Uhf%DbwZ!eA6IukkrR6qciW@V6D)A%t@Hx;QjZVaAT3d+!)+HdX4Elyg~id
z(OK9nd6KCg4xPx&M_;3Q?f%CjgD^+W_Vw>@xB%bL2{>nN+++@}kz;y34X1v5%d`$3
zptE{D4_i5AIsJuo|C#??fUB$+nyAnoInr<a{SEutbg`56Dy4tN`yV`IR@1!|&emS>
zrjj82wVx<y?>+bFW;VktBBm33a4&<+3=^!u$fQX63*%j(w%g%d9W%=k@Rx}$+nsRq
zuDm0pzj=1|Uk@+5P0M%FL3rl1`3GS*gGJDatRMV$=(6q}xGim&mE14Bw0_l<fjzpe
zxsdlCpL}D8`w#BSpn7Ep=gPUpDZwXn@9>cOO^I>cnhJb#$h*%5X86ast_5pt+A2xz
zH^x7-6m?*cF5kqHaF4?sMML<m2h$k2-%JYASD3&P%$>R3#6P_%tYCjW=S9*#*ESY^
zwT9c4n+*ctH>OPAPQv>`Obh*B-scw_&%lTGFxipyoT8cqM^Cs`FuOV$7B`c<?hSjc
zFK;F5KdWD;Z$!f77Hjn+KdaE7{~Y`v)@&zvf3@#WUH?Tma{9d|$(IVDW=n)iT=u*n
z>q#Dio@}YG?x8}#6gcK`qj5T%!Tl#P8*Zo)Kb8w`ar5{<-sejni%!ae19KZ?Z@@3x
z=93EHItST{<b6DQ-y>~Bu<CToR3Utx_hH*T*l5>+5_#XQRx3d50i3cg`6qc_ZI{Vs
zwMTHm)X$?8@XJo!uqUvJ&!IbYFxSocuqK!y>-HLXf9-OPNL>ru8nS3b-bZVb$g1mr
z_1O(8$op>FZ_)gC1MfD<W^94Q{{;Q$fqhRdIX1$EvtOlpVe=)W=WVbim7Vl3d^Rk3
z2U*|K@cQUF3R^gQ^mzv}>m7BQhW9v%ym}4K$-ON80t@813X}E1OYfELEWp*QwISqv
zHpBf-CYIoPw^w_~`r_kk>B&FvhIDm_KG->=hVLJ|77~*%3TI#6%TFbV`SIwBks(;(
zZ}kakn1+W&`7<m$zSo)o?pisNO5Sg~^Y~FF6Wp2@{rxK(B~zTm4ab%(W|RCQ!UubJ
z;eaa=zvtmb@m+m3u;59TpC94AjPC9B@QmNJV<Yfg1u?b+IK-gCh#c>j;uqsf@W{1a
z_j+M*O)8U{u;;mfG7^7A@#gX^IGT%U3pt*Bzs@ID!c;CpRpj`;zcK5mf;&w&ZXJMc
zUZ#KD2pe5|{g|AusB;sWTj1Bt^X$X$Cfa%0Pq0=&6dNg@WX(Ix0a#D$hA)YG$~GOQ
zmLmO;jn`XPIj|;rGhC7F|AypC6>W-Pg7?<R3iiN%PW^kz0{`jMi5!FlEcBkS!-A(M
zdp^PQ={kQo;Tt_WWXO8(VV&&1{BXc%TP!&rA2Y7`3d32=^QvS$*}rtbR~%ke%S)ew
zYXj*;|AY1Jzb+-~(bbonMU~*CEI*1(aCDEK(?NKMBie=mzKIuQ4#6V9!Vl=+1kZ_l
zE%=^+4D&YlC9UdBJvd9a^CUC;M(6mD0o-8J|C}8bD6ASXgSD>v?brbyweRG#fNA)`
zeRyD|rx$mgf~ACRb8)}{SIf-Lz(;=E4I=OVM^HaG9u5~K9tj}v1DP{vk#KLZ?t2n%
z=ABPZhXoQ^J4w95MYt;iwqJZ9ApqYMXzYFji`-d$PySyZ@Nrm1Eqw6AY5;kEk~PjO
z^EG_FU%-zFrs1bQ(GJV6>|y^)&KF10i9YzX`{=Wu@VJpG-$xkVi*qFBlQy%OZxX(3
zpH5HK>l?3aw*Cw=zmGdZ&i|(E8rF00Wz~=MB!4hHJL@~_y!jR9FL>m2Pu4Fues-(J
zGThrP{b2=e-@LJd{QavfZXY&CV}9hI&G!ecQhBp=BfPIiK8zCO6<wv<Mh9Oh4Cq`(
ze7^ZZ0we5_Y?wf<$EML8iL5YvSHdv4o;6bETG?RvBmM`-^$22YYUP2wDa(?{^}G;$
zOHB|~#K*YE^NsQ6(`sUH8Gm^mIp6<tbl>q@eSaLlm89%FQ>4ryBM}+#wX-TDDUz9#
zL?{s=WR;PSQOV58Op#fHP=sufl9AQo_d35npO5$Z^HHCB?m6e4bI&;|Z;V#<!KvA2
zo|E~LKI#W62jFiiVOz=kNlpoGo-(}ss|-JRpOj_6IqyGMX4=f1%+HtxEqv92^{&gm
zH-*gt)u#>Mu|>1p$KaW}Z9>Md?q|81mazXZeqnRism1u?3D|Y`*;xyiXRD-)4IE>$
z(bgKSa``X#G~DMDmwFa1qYxOkhePwfraHlW{nGO1V2#*qJgzVU_2m2&SdgNb=Q?c7
z`{({eIO@8i*$r4Y|NZh+xPj`G*)90h_Yb-raN@e{y%4y*J3EuC@6pn!x)%w5x}E*U
z2M&I9?tL`O-gMnO5Y}5|?tBRIC0?W;^IhL=*D<6M3#*+9hC^SzVl0Cz7a32GxVX{g
zt`ZWzdiXE-d!~b5yWYSL3Kv%{z`Ym6;+tTuRM7`^@ZgO*_vxike>3Ti=)uVX_8%GH
z{om-6$?s|Y?sShdyeJhrtO<wOX|wHz?e&Zfk@tU@H#D>R!1AjG{<84j>{gTOaE$Ew
zXR>}LL|*V{47_bEpqIpVCrL%!gB1ez?LPz$E8K|6f-CRGNRs!9h0NmL<-oTc6~jr~
zi@V@m5v+MOYlxH=k>XaG=P*TxkrJ7YGnAX8c>&9=Rz#}8=k=+zU&39NPJh>igO?Sw
zTVai=-FHd8Oa?3MTlk0mO*uvQTevXod)Q5C<TfdP4AW&tN&EuG@?|m~C(rZxD2Y>q
z9BU%$hk_e?K9TS9nxkbP_kU}j@24)<^{az5d4D=#@MIFnXUVDGv;hwFv`FfO+js9U
zU&H<7+RwJL8~#xDF=YmhI6=3wA6{>eT$qM)D!z`Be4F&J*iksBYG8Z_HWwP5BJIJn
zMMdUkc+f^UoYenpM+`G5WYAwZ@oEog&;K>t7~cpFQ&`>Zge`6z8E1ku%sxw!_IrUl
zNPrbCJ>nHk+Kcxs&H_AeL|)Ml$<OW2wAu!@uIek1_M6`z(n=7PZ1;~O?cw3R_6NIR
z1y`Q$q`lClFMqHH-uXgTg|y!#?EiWt;Dv&b2a~YI*2&)eu$?>oENO54-I3&whksS4
z>yh@G{V+F&3Ov8^CWX|0EIZ4h)M2K`IWtmUaqWK;r3-&lV96o%oo&?WJAL?ca0WF6
ze%~)=C*K`~A3d$H_=mX2{C#b6I9_Xrl>zZ6!7%O9aQdfZJ6bs6_;ipp%pe|EN9rqQ
z?SUW%_?}EW2U-6m9`KmL1y=0KYbW*9WOpKkJACbE)lO0#Zq{G)xeA{(f7eguciFBu
z`rLrc4u6m!^Se*D^_K%+x5uMjNcp7`)m{#TIVdI$lJfTK=7CF*utn|6PjbIa&dFVh
zgCB)YYwEzI>(bv7VY=KO>!iLaZ{7br4PN>(VPXciMJd}qfiIt%pml%~Uuf9p!9SUM
ztVsRDCTB5P2>Z{x=Op)kdd=C<ayWtJrPF1Y=IhTLRj|0XLKCTPCS}%kyoNLA1$eyR
zsot1V^>FL^L=S(MZan!^3!L14{SB$F0;oEB+hIR@mz$CBDc9lNk8t0J?uT$VL{s2c
zKb+CBKO!0CV3avF3STd!A4!B+lKk2yVX?KJ_j6$Vy4dy^*y}{&_ouMz<~iL3c*A<;
z;|iENe2d;MxbCg{YANi@T@~^NKJ;+x*ekf+Xv1wLS^WP$NgW~Y7jR5z>M_7OI2-5k
z;SY;udhBp|SD-q1zaY?mtexbKIOK&sfcY=av~$8%c}|}b;Oh=DF(m&2)w*94?DSba
zW*fYzwW8||oX_HWj0ZjzXy6$H&(hpDCP3ovHov_I^Z3<q?0{n@9=LeJC4XLV2*LIR
z#x<U>u!hb9l5hRjhnlo6{KC=?Bw_9CBe~Wvr=|O;y>N_~rxCgShPRDQDZ)A)9ZN^y
zxzmw56yRcZhx?@b_)u@zVF`EnM#w3{%Gw_-t>E$6`501PPb!pKo`X5Pf+tA*r@RuH
zXb<0I`l_Z6cRh7Uya4Y~_P$5TU(KjS??rf%Sl=9Jf0d7k^m@X}@9fk`ecwQ{iNhN{
z$k6bRl*iplQ|$h5sK}88(q8DfHXjXuC91OwPQjsP@{WeWy+`(@S-{3jG11|~av}dn
z`|Dim8GRT2e2CiU4E$l{OnWS>;BzLIl<#^gt@b21ezk9nl<$w!`{^ITTA|V>Nqd$c
zzm5J0{O9`9JZIR{ib3xwOkumW)g2x)Sk`?8)3v!;UV;tgzlRjUr?=FXlk)x~?L$a8
z{Ay|+ExA6gYdRV$VH?i?d(xizzD{dwhS}1L=*acF{WoJ%3ryjg>Oijd_>u5Uov>jO
zMHR`<+I07DHypfbz!?JTXrDbi3Ue)Pd_nTpxi9&R!?!ORaD~Af#|8a<!HVn3i~(@V
zQ~JXz@Idr(5&3)a)-!5rFyAXxD$<|OU;0S-7v4~``qUNPBvnL7xgYh1wd$Yquou;X
z1`4>lWHrSW_N%|tKn?dz9-1fR>*S{s!Bnte;_^LGzHZ+5dy5tJyKz;4T)!;25p8Bz
z^S<<FQoh>x^0c{N4}DijQa<e1qiHzcz(&z7(%yc(VNSyb3;aF1o0Pw$GR0ON_|nJi
zZ%BJC_54+f2>j!9sLMV$Bl6)LAvl6ki&+GY`^a%e7JfDJ<oQnc`q7^T(s0f_+Y>zS
zGb<(oE%-n2&xR~8_wXd+e{iI7@=wy<j{DWp1;UbECLc+EdB>fNdbeOz$=lMT{dnG>
zpj`$V$?9Gt&xc(bB5zf|@43BN$@Agm<2pfYu=;VK*CgJc@?EnP-gWc$Inv(J-Pxqs
z2b;GSZza!9PCSpOd*M`@+j;L{=?`MmL$LT;>-9F+E#pn|09;;uAfpjBQEP3QhU*xH
zHEZGGBKzA@aG^ulbU7T7krBi#hxv6%KH(?ushd3Yys*2kazH-pAn5pdAN=^E=~WWv
zt^7(M154a@?<Vn_!uoYpctd!jXBK?RMqgPSKA1GpRS37`RUFcVEp-ETKZAGo|94Fv
z_RLTAFN1X^ihYj4)Ln{QC9puGM&)t%U+7WEYM9@=xWW=%+CAe}348l$uUf(NQk0*`
zc!I&^@|AP2fO>*N4J?smEaw2Xrssx|@r16~+WoF@xY(fqG9IDCc*gw_OfzUGPkyg_
zw)dB>!V&}hw_D&x1(%DwVV|+@6XbdNv-?D$KTK)vet`Vmws*qk0^se%0e8vs_i3i}
z*-)4|W%C4izV_obcZq}tj|(J|>p8Ld?tC0PT#)jEj2{Gly^)gu->1*kCH=3*!OPhX
z;opNhlSuz-d@=WH8tfjqXLSLtG~V^~DJ;>Gsxt>CDh>(fz|Q?oAFsmvW@f@gu+M$2
zl_gk=viDIb?3=Oc8Cfq*<#Y5=HJtE1f`U9B?mxsm_6j!biLs=E%Pz-`Ho~<&t9hh6
z#}}OzcmpeZ_`Q{s_ZOK1{2lP(?8%di@a#XIly2DQktHiXeA4i5azDIPvfP#rF0p$*
z@EM-IU0SmnuJSM$7>B=w(z6J{>({9*zQRn0H@}sET|601tiXw>kIzfMTd3yaf5E=X
zDa~?lqwbYBh68v%A^zeE5|<wjHKT*K9rr#X1YZ`qVafxqMK5n8{iW8k(VSfH<ns-g
zT(Ihos~ke`_JvD2q`!5iJ-9~@uDRwrL&gLCOSkzb1)nP)jiiF3g)hWQ!mqOCWJrJR
z@ve_?a`1A<_8@XU-~KjiCJSfv?GYu{XAk`o)5Gw0UcVO7pA@>9$EgZibVs_9>%DvQ
z9ESlc&ECUI?q}6`#~wZSsO;2pQeHM!)_gR9<>IKRyWw{<_3=h<Av<>tDUY?r&tuQQ
z;|I^B)WP~$MW$zAFJZ64RdCFAjpLW#OZG|Q&tdy1We!)kuCg#B4;FQ=XS)u^{B9O|
z3Y)Q2eei~pN`~4V!hd)e-#>!)9qB2FglWV@m@?t)^OZ~q@UKZr#(dbbB*!`yj=$_}
zPypKr->FW9AJ05HQU*s(criSHdzasbSHMd-C!EN5<C?^l@EZ8quv%3r+*Bgb@)|bz
zy@Qj~7gRat-oAn59#cAy`h_X7TDuL-`c$=p)DO>xSF}FB7Z&edB=y7nYnF|l;OhZL
zM9BS|Dw^0Z4DVnN@*?$t`*m843AkpZdmp)f`-Ak=zrzO?GX2T;*^B76wR7+}ITHmk
z{&!=Ep>_q%P2CYno*#lM?yLNT%~cxINd264bwrs`9`BQK--#jDmsM+zFBQDy>!}}P
zykmF0`*k|_tb%|FDGwHm^)DFU)0T6Iq`X+^(!XGb*LFVpMxGzcS*-tX!bk33(<09g
zZM%N{+6@my&P<W~sm%roBJe+xat%tvO$OuSCE*`8onlG8{Gnw}Dfsw(nfWbnV5f?w
zJbYVaM2+0<^7$F12Vs@0r^yVk^@bnM)!?EA;~%u}<O$OybvXYfr!E_@Q`({~e2V==
zB6<E$S7ner0;lixTjqwj7%gOu!I2XDTAZ++b&H!R%o#J9PM$|*XE@zX!HUejKgshc
zMfIJ+(=cVTvLU(u4cvqZT*&7o9p^}X%*l*dSNONIus&&j_Xp1Y@PMs&OOr_c$?1y{
zUNDuL+bVgUNq(9kQV1{7pS?!z=Oa@eGM~fwR&QiPVM99Z%op&}xcz~oKG;EJE>sIE
ztHmoGfd2-h>~4nZr~ZY>!lEwf=ib7sFLS?;@qvV_P}}!#LqCK3K{)dG(AWpq{+7e6
zF5LcIbZh`lU~N#*hQ&<6Y)0TeoIES$u!6=X>nS*c?UI%$+;BEBZ5nQm<Ib>x%~=Oi
z=i!vC=YO7rRrVa`UxxeXE3!#{DPAsf$3K{Nj_QviEV5Pn;RXeimm>!M?|-RX@JrbO
zKYAFuk@UY}e=}{Thj*KOstAFdDjoUQ;JsYDG`HY~6x7LFu!^WfZ5%Aldp2nYoN*$K
z`5tV}OTTRwtXkjE{0P1ub)HuoUOG$7oep<<Zs?bS>zI1PtKb5$#C|dOSWrfPH7vcm
zvQG)7Og&ppf%n1JE#>;uVcDgKEo+F6ALp>phC5tKUojwlek%5aAuK67z(@xlGzq(J
z3>(e6IJ3dMX`2)5;6je3lO$eVN7d^9b8#OpBk_NM=RSnN7j;v#$ouFa_b;<Yz-I%6
zG8o~;cUEjku%@u6It^?}7j`cd9uJrKP2O++!bEv56YdP#tNZ`;#WYH6xp26y%mz`!
zqa4dvi{abl!p3C3qF>EByDQ+AHc!uz^}|g&9(C2g6Y_DzWdEamM!%0X!0e}@osPhl
zHrzPc3M;02RqDe3&5U$)z_vRsUOEXctvYt~z=2&RwdQc(Kq_k=T*lnG4RbZB`j16f
zM~D@(&s)LHo6j8`gP*kuG~2-%;Xh2K;XCL5aN5FCq8Gb<!1;G3+uUIRntz>3uxC=`
zb~iXrQ=N4cPTC{k?G4Y5b+D|%YK8yac*2qL4tFUJqJHlf_6vc<_Wg>Xf%nyCcLc!^
zo!a+U;X}OVl*xJu;nSmcdEgvZ;fP1@&b&mn9q{4IH4U;pgYMn|HX+#8sp=kCpP`)c
z_nsL1`u82ZI@n_<>7EqawCBGEH8AZa<^*;4h`fsjCDxz3HLQ=<g}>%=HB!Jfd2%O=
zVgCt*UT(N+Zr0o!uBsapChJ|aX?=K3!)$ab3j1Jt&4WC4@St(*?f<Wz(KUMD1P>45
z--5W=Fw28W@Zq~-k&5t;QAYn|SoDO_H?m%bFT<|i8<q;_IH(4<o{6!%0oTy`&Ktx3
z(Vwuq1s{Jxr)CJNg+zZ2h5x(#eC0H}5OMNzG;A5AtVQ-CyCJLjFaa)}l{w)7cS&<R
zd<aWel|CiwBP-&#t)IZ3+R`h-;b-BqXY%03kG9j0^^6<qj*k|?i_4`oiLfxM<Y+l8
zskoPkte?`MPCr`>7f;kQK7|tteb3gzM-!wt$a<{Ivuoqc@P-F9t)=jGhr#i7;uqrE
zN?_?;C%bOAgQK*Qtp9o|XJFS43qRrAN!EXvyekzMg{S4mWcuMi!Bmm2u(jmjfL=J`
zy-xNFe0!!=;Vb;ZUoLwQ)-~b1Jqcg>@m>5E?BNinvI2Lm4v14I;`u^xI${xi78>|t
zGtBlSF_j+c;nKssf6&8R0#mazFo(RsMHcu(qWKeEnCqU_MQ%9yaOx6SU)Z~eSB4+X
z+o(oO*6%r*^T-IpZ<%kJlJ$UYRU5BL!-Bm&+fTqLYV=nX;3$<67gPA651*ncEPhbs
zhAS-jYp<dfY_;W58`-Z<XvuW#2z-q7=TH#r;pDP*3|80PE*St%iae`53HzUoS0(GI
zn`2vQZD6kTs>u8BJDSZJ_OOr(wPrT_?EP+y3vjWAP%PPR@WN)7MmPABl8atBtS21R
z=mqx`-%5NAukEX#zDDxdpDtCyDh!{g17MGh)f!dsNs5D^!7x|-pWiKT^a1P82)KSb
zt?nB*>+4&(yYQC-|55b8ZQe_CiSR`VL&F|et4`7&30|Rf${vDinNAvHz%O-Ne+|G7
z{rWmG;T)^9XEX4+@YeVFur^KF+BEEJXuwhk=dqTb_z80qUuP+Y{bY-u&cW6vnvPb&
z)KSfpWWPugua%><FtgArlV#X1<-gcExU8!)Zw)T-_K1B8FAvuL{R2xr;^S(Ex5!Tw
zk^L$6_Zf42gy{;qH_*VLgV`r~VK>WhOBVQT$Iyu(_>pdF4kOHP?9hV|c&B#XW-j>V
z#>)?;;DDU!<7EHKicKE|reW4UZwmNeD_7dj^KeSn({-|6X87Et?TfJ5m0}A)_!MW>
z_CN5_>pNNe@GVZZGymWxrE!}?Vc*|+XErIJe)l?mR0vM@s!H1oE4{j$F9BC`EvC`K
z8Y>$A#Nkm6hcQNYbEK|0+3(YW$$eZJR&N&?C7<_OTS(sr|FaYd-VRs3(aTVV-31=(
z;)czvnyi)JV$P&DOz;y2RvTS-;PWPXTDU1Aj9(jmphQha2_I6(<u`;6+LT#Pz~{;Z
zhxFlPfy(t2{NA&a7DE=W(E@Yw0$d>4mTV43@o*d_*SmFSEcrBS(oh}s1y0d1vpfZd
z8@%36%1@V{gQYDTdfh&dl%EQTejXe6rTux)Zg`}6f#)LpQ#Ze{4UX0Big$)PbSjx%
z!qSvI@ow;4D)ZB%eA{2wG9~%NELNMy{ss~inx>xc3zJ_aWIqH`PLVE>e=3A3ne4x?
zD#zdD1<M|L_>J6;-*}><N&fR|kE6)`2F+E0(Y|nZtI`nJ&tY_I(eN6qYpNc28~#l-
zZWsWUiuHEhf>qs)GWf&%>_eWua3Z@hLkQgGa;eb=rf<w`4T2Rat~y_aKkoHxy$cJ@
z-P=O;Lr@AD4UL9>WhCdFg9~+DhbF+HH--P&z=jihbmHK-xP56BuubHM_9M8zS5f&m
zOx>wXoep!EYL4l{*=2mxS#WnnlawwTqa4`q1g1>r{HO-sd3>xP59aeT-mL;xU#tws
zfe*d1d@BcYp12iI1iujf#3c(yIeb$qfE!xItHojc&LXukIP--S9a%rkD#S_g98Rxx
zDkST-4>0$wSHaWLqw8e-wn5gRmlbfwy&sRr`tZ-}f2(U?|A@0cSzzr2t7|XeqsA8#
zXy6cQMV~%c=D_aGb=3bievQ5ufDf9o?Irt{maWCV7=xW_JbkEOb@~OBDfreOV<`?;
z$T?eO7WVIYc7qjuJ!0uU4@b@>_VL1Uf7tz3;V(*yBHZx#xz^Xe;p*(q0Rpf~!>!jF
z4&nLDMY?l4tg3K$(<Yc{FV9|K`1RH2lq~Q+?y@%|Uu(<N|JdMm!K7Vc@S{Id8av@b
zOCq(q;DIMaw|2q%b!fMd{aNL{Io%S6OU~&zk$hHmh338RdD=Y<q<vzM$!b!B7jqt3
zll(_leYYyZ%@3}>*bgh2$Zh=(?%q*IBLiRKVA9iqEv@gIQ-r;9nsp7}5{nnbWd93?
zA5X%K;Dwnu26FwImCuBm!LgRLmdYefq26`^zOI&7rU~zpd;ZQI*1k1*l;nrAK4f%)
z<)4@5>%cRsW{j8MGhrY9lKjpXxw}{3feGItGdQSYA?6yKEE-Qi$|vicFWtVd=yAuB
zWPcBqTaUVfU`dASS)@E)8B8z_g+EyHopy#_NuDr|hR=tH=Q+S?Iu--5@T63ejThXx
zz&DTtQ#ZC3c))kwiJwV>4IAw2f?=EXh0{;r<wnPnK=_g~{dg|?kN2-*EF9F(Ggb`q
zhy5yxA)kN5o?Qt`G9PIs`=Lz!oXDz$=_l1Wvf#pxd=iZ?!~K?)3RuH;e(yW@RR0U^
zGPri9T+w@Y!?;R&6CAvgzNi;2xhu}s0C$C0$$f?w=Ce9Kz>UN5a^vt8#wh+Sc!JXY
z>LjeIbi}70Ug9`>bq4ltlX%k$^H#W5&ccU}Obd>{hl7nOm*M-znl25(u1|yiuEM>$
z{97mCOex#H>#%;>37&Cy<o!eCjmo(H>zJ>6hebKAD{qD4N+w=^g)i-|_M?Ssgp>G4
zeg0bZfgcNeF~Zq-7T(r1^qLK(J<8um>VLO8FJJS*A0)o9F2QHAO|<yoeI-V3sL)>2
zzmU}uhL!)ZbCULiF6l#yI6T+m(aH*YZmw#Ph7U%_@i4=3PaTX7z=|(p+6CYzPR2&c
zaMg%D-wt@OjrPM~n8N;1C)v;1_UlTw4qUQg&c7G7VtRGL0G8>@`EUqsy_tXFILzE(
zA*cw)-r`I$gLM@*`l`cUi>Z^WV6pt%7FAdzX`KHo9O<{>XAHXv^zu8w(Pxs{4B(X3
z+Q%1Qwvf?))9}Zv^2b+T$q)YTEnz0EXJX!PvvJ)mvLCqAkt{KPc$xN8w-a2uDC!ab
z?`i%caTzWd-{letA6tpKb`fr3lUj&??>N7e@`sZwB^P4hDr$=xzOc|lrECIR{c7<O
z*{{6uONH!1c(~(+a3K8SQ-4JUoUBwha1TBwJ6MqoV_QzK7??K2{ckSpap7HHB7C^m
z^KUU6Vr|eF4<AcnQ7MJ5*^TW<g*DG}s8kcTo%T+K8@r$Tzk+ji{p@}WKc}wte+S!~
z9C9W3FT&5(x5I6}UEe;1?HL^E$Khw6ONvN*O`nVU3vBRGjXnz&*v3h{1ap>dewqO*
zdba7Tz=K0k8*|};<+nOiD!8Ak{!4xW>s`1VP7NQBc(;-dTX+VCGr&5A0{@YG_Y1o1
zOt2Yi=ED-0QCg>+6V}gK{$2<_eaghb17CgVtyKxP3Nf(=z=m%c?v=sQ+Xjva!U>Yv
zv#;RD;{(UUVB=>IO4YDTOK$ugxWJAvz5!ln%Z)z>zi*9{s)2V|2lgq!``^)rll|}a
z?+NTvhaVJceIofk51rxDgjuNSW!hl(x-)!7V3RYy{954G$JEXk!aW<^`@7(l^D1X-
z;pMM?UXyrcnP`R`Z1K*GuN&4^*_GiAFE&+_k?$*e!anH%t1j+k>4D#Vrk@Oi-8yY^
z-^2CRn?-}+6s?b&`(QDwMvR3Ww*E^c-#6*}FaJIqHTdcH1pK%DcYZ4TaC#zr6z*!G
zSV)J<O-%kx!v}x%&bPvMvUOX?_YEAb%YO@>yF7le6Q*!1&VLUZPWM!|!`If5oZDer
zHn+1)@W#g>&L3e<rn3e0u#>Xo1j(21i~my$-)L5y=!N6A25Xb+7cKJ1qy<(P;}N?-
zJ};PS(g~;X(0g8ksf})GzJWt)?dVU!d5hYb9mH`bEX?6xfrB;V^NCS`kF`jC_ODmu
z^YaT=7Bt{2&xLCwzvwz`0@*)bKhy5oAUyVFLW=B{&$r!DVE|sLzSbiFx7@CipN88Q
z^e&P9d{5T%r7y6=`7sVse<c_*EiJ*dwT}yU;aQ&b!k@5Lh>9tx|611c3pc2u{T^MK
zrH4H)$zNDUyq_gHmWnvq%Y`0sHaA5{3ix)OwHPhzNZZ>@>fe&BaiZLCn5)MHQePiv
z_nzc{_q(yNO~di_=@YwPll~`pr2bF*7?8dbHqz2OO8VRTb5hdw!Cuc>zkh@q>aJNy
zz;8ocVn~1ccJ(H!{qXysJwxPq@!+;m9vN8Y#k;^dxIOM1&p|j}DfE2}oS}HQ=Ky@9
zTila8pVA$u{iqCc_D$41hd1v`zN-WebOt--!Fnm2ch%u7Rw||0uxtB*p&C42HgYl@
zj%sx<)Q0_=<DQcKdVlhcHzYqXzW-+g?06%h8BbX?Rr@1V!{O*1PC+DpDqCujJa5z8
z><%=9-P=Z`{o!*`;cFzHx?9-yB5Zqg_Mb5<9@O*J1wQYU<#`1Dy2i^v`X~P$QF$JN
zA0K*aL;5F0E46dv`y#{{{@?!@qvo75g(p@jf0O=ClfzOj$#?y0nM(Rol)wMWJqgPh
zP|uM5m{6La;|X}UI4g$q*Z9UN?Cs&ap(Sw%_=)>Swj*5TXnc$Gzu((l$?}A+df(Y0
z1wUkd^xX^QJTmE}0Mq37Oh>?3ztT^W_<6>Xz0q(X-D(AizYe-7{sex$CFUWC2k9T4
z%7E1vRR1IW^|!j!lZ7zbxY{7uKdHRRE8`jb(_}t?^pEepEle+kc{g6@;DVR@T~3$4
z?45ibOz<RgnpG9ty*c4EJzT|T$y)(`J)rGC`r}RfVLUak!osVPjWApIhI=I6-<6+Y
z0sVQpo1%AL!;i}1^k?B)v*U&&|2?JF0vQi_Y`4X*2@Zc>sXPuR^VHEcz+Jx1<79m4
z3(F`?D=gMIu<sN3{Ipph$$zV*e2wg%HQ3}D&;~Dw<Tp3K!QaGGNxt5^)rD%9Lswa)
z3+6I!tt9(#X_u`2>40zgUq4d>v)`ls(*rNMOyxd<J2h&{KEQ6P_f5!tXrqr?N(bOD
zr;QIE!IH^=m;2ytrX?C=KQNga5tpW5_PT4I<6uew4T(v3mUCYKIp4rYRc+5Ad?4&Q
z?`^m+{O8m>d{if`)(>WR6+A4ehW_#*!!Bo7l0i5buTIu{(QkQU1OM}=NKl7Isf&J_
z!K?~K$JO9-eV0<nc%z5?sIe(ry!&6E7JN_sGQ%;r$?=t#3jEfRm(B*>(n43K08jNk
zZ9WY<UhQy@f|-3ho9y8HnS~Mwm`Qn4pe?-PZ>fb49GD*G?*{*I{kgyo$20LOUxX{a
zlqYb(UpmK>JYmzx&T)3);Pb!SVZm1kq4aQ3i}<P!oTgszkp_O)R9xZ(U%BpajqES<
zCHz9MA3P8o*1V4K-{$ruS6{elr^$sCIEEwlLJ&+{Y+Jbq|Dvn<Lh@567pTVJPz9&S
zV3=bkr3u+@h;?Q@o#eOlyjkgmWgjG^g~L+UdeuL|6|sU=q42kuhhN{pE)8!iqhZzR
zoc%4Zh<NV@l7ExxpnoOYpz7Iu7p8rw@vaPB&smEi`O&kqm!H9k>h~iPNL+&LRW9tk
zv_n4*zE{(4OUA=bGL-5j!_+||1!?eOY9;CiaLm;#)BEtg^mkP0@SoSY>102mTcakg
zAHpG=SF|JGmuo{cPvCD~uG}O05$(EVd;JmYk*s_$0M;A2>|F%^Y&y_+9TsC*k}H5~
zCpTQZ0-woRk$DMMa?LW5^C6mpugq1!t*MpI?csvUW8XU9I+@`6Wd9)no0Cu5;8S~#
ztC+!D0R<Uj@V5V`1P$Rr|D9(>;QtCfG;6|@Jys`|;Y~*zbIExSag%R37vXYIJh{Tp
zF8yHHdKmSWUh#f%{=;<CvG&dI{QZ!Avj0#^IdzjLY~^#-l+3@Rr{~k`fp1aXE+G56
zzDVA<RR*T{aQH7De9P!$)B(77@OA<DzLbYW5z4RwpYmUEILX1bQx%>}Ic+Kn>t1}(
zp#=*ZWlWcXua&v6>B7^yB>(<@e<aTq7GwB{L7&zE#2qFMCmx5rzOnz+g5!UsBv`^0
zH><S%gL(MR3|PU|M|#r8{LcIDFZ#~GH7Bmlkog@YZe1HEcx5Uljm+=#D`cO!1iRR1
z&5-$>cPbu_F2l(}r?trZ&Nr@}bZ<C{eL05A@0e`z7P|p6#tUe<!iG|VBDaWt7R8*0
zpM*LrhQl9Zzo(M<nDHl_3wL3UC6DhnVdu{=-U)D0OML2G*!Kv9*F#w8*S7CbaAxns
zi!`|NjJPH#e?l9MRXv42Q|3mK@>fBlyq*oGRh55BfggO!{Z|Mxb;}+|f|D*kP%D8c
z2UMa-`5vO9Rjq<QIhGBO@@>qz7Elc@*4D^n!*jM5Zq~z+4Kg>$d{NKWbB&F#n~UNA
zxqk|IH0!$IfC0A4B;UP4gSrR4)XM#i%ojaPD4`mJwdDP{$bPt!&&za%;bT_=+{)qC
z8{##8zz@pRx03yFN95B&=U`1$jk8s7z+<M{D{wJeN<PWwKe^-GFWB>Y(w177!Y{Ig
zLLKd;+``e9@XnHSMoO5&YBrDTH>McP%0L4v@~QqJ^Hme-;wE(P&RE5xt?<52Nk*)2
z#+%@jH}E-{ihJyEVzmD%+0SgqO#JRP*je$7dOMs-t>3d9c0F2~+yiUVzxuG7<hyP9
z+6^Zvj&qB^8GXMGll^_|f0=Pf!UC=e5q+@X6Msu7SXx+OY7|!9wrn8}Z<KP78HRmL
zkBuq8rT33~nS;l7w2r95T1+>kf57T_6hfNtmm0V5Ww=hlYu6FDDL1|6C-K1|2SeB<
zFIws^Z00U*ZwlXLsJ`|KUO4}B)&f@D62Fhs=d-_d{ji3&eSG0V4M$HpNZZ1)?U^4K
z;Y9Jtea^5c%Nu^u9(;?FxZ(nzK3U{V+KZLDxtHDHI@b0E7Wm)wUu7Qfi`>#3yfBT-
z)za&*U0<6MX>Z2AY*V=jmu^bjE(&YSr5w5qZ+w{RNZPBNRm=Wiu-U$-I?|q9_wn+J
zfd^Gm81}%t4Ik?7!Q29V4zjSrp%Zlv;Lne57nAnz4OJyIwxX%|^U;x>?9aDJPI>cV
zc&X!p`2n~klO{3?z9KG8rwwb1$J{A^H^qpVk^TPSt(`fZ!-o%z(wM@><d@lAz!ppc
z$B)8{8V)C3!YrfDpPhtrI)9oqz$e9Wew&m0meJui@M?oaz9TH0cWI~tuJP9WWd|oa
zxj1})DeRYWJ>m3+>vjXMM##{LJ4`!!GiMOK@Vm&E?2kOu&z?O2e~L;-@`h!zlYe}H
zKbSZz--Npjq-K7=wpMy-q(8!$R4p|R@4CqQAO!YZHQu)h_s*?Mko^_|-LF*qg)Qms
z-6#E>x!Lqm8V$VfZL2Iv_JjRw->bq1ufFUWO@n)HT~g+N4dc@Ozn^SsF>?SH9IoON
zO!`+wp*j9LV2W^=PSU^HCTG+r0RIg9EuIH^)lb)pz&ABtd1S*K|C9~(!n*r(#HwJ~
zp#gnac#qYVE9Ef5;GvK5utvfikvH&VmZ5GH_@cDd<wp41M|~>|xZ_2WP!D{>YTi;0
z)~xfn)D7R5a-KAVN0L`|O~C!HStm^4Sf(egqwo;Rg9|5NdqqCMpRkmwri%@1%+u&H
z2k$oRTegGsV&w%kpg(N)F=WXFK0n;=yoR`siTS~ca1Hm}hRulUgi<Sb!b6{=m^Q&>
zwuP^K;C&iNb!_nY*|W7bVXuq(8CYQH($&b@a4y{uUNSzvN3t*?3O<xHbWQ{oZLvBP
z57#UFa8rXFrTHvV;IKX3)#Q0)A!AJJF>Ks&<1HD#_4<`5nhUE5P_Z9}dH#zkE`a$5
z&6~;mg!hbDQ5nph+RJhl&JQ$RseqNe{mzr|Td#5M<r;W<;h$16e#`!cQ?U+i?Mq|2
z1Z%U5D7=NEZ*iR@^B=}f$9!Ais`VEoWIT7uBky__e2!mo{W5GFUh?__%=q=a`88Ov
zM5|^DrijU!A^DNx$Ehaay=gjHH{g~-J2uV0ZlcekNq+2%l+G;79&+Rx84tcMR<HRF
zmZhNcBl*fppTpMSV~;aGk@4eyy-z|n|A+DuOR*~m<`-;e-vXE3PP~2x7JM1e#t6Io
z_|X&!Hv|{5vcT5T!2)+-sy-hUZg`2d$2kh#BbZ^v3mZOkX-I&d?zv#P6Rw&mXN-eQ
zmhL~;1$%cKaZG_Xm!3-$hhN^kSNs4@5^LVI4?b;FX_pHRABq<|0AIcFr+|!4|MA+K
zuLwtkZL_U}TZejc50ki%c|IAR<{Jp#U=O?J%xjYIQ8%_=iVLun40rTFxTIGj%nd#h
zvRy+DesK11s24osqZ*+Nx0F3;_krIF)P6C7EzHv1-G&!jSA9tSSR);4I80~h@!=@!
z*T0qJE}UH&wu6kP{&?$U77MS>Q+u6&@5XtWCc)aZTy>`KB-Qr^DR8ge-ECxiH8Ny6
z@iE*K`OuDxueN%g9nOS99l2_3VYfn?p?p|iCqE52UonM$cvm6Jr5AsejJGN?4-1yV
z$FC;l*~6<{6ZtRTUp0YeuEHBQzvk7!MJH}%UxDMDF8yqPExeW}$#`po?UjXAxZu{0
zBR(*{{6_h9_~z2-%m8@f*Ubk$!d{-o=KbIprG#s}@WuW0y0_s|kCJ_cV9Gru_sDqd
ztfx%v2)sjK=Z^?DF;1ao3f6f<FCPv|Pj^v$gF`61qsjPf)vLZu3$Xt1nf_?l5{DQs
z!dYQ0vWf7mrd!$@HSv5{6y8koGfMYFY=WIK76r(7?Y_tZ;Vf`Y{^RFle7E`j_<J_E
zWrBv0jK^;E{m~{0-=gvSPU68TkJ<LXYQDYyk$B;$Oja2<O!#3W`99T$HYfJON2b@N
z9>e_Z=ggI0@h!E|Wc;>y|LzoJc$s@gcn*BBRwVg9*gALM0~rr~E9-MXAI|8R9jS$T
z@&a9s!W^wn#L0N8_}Z+p1-!UaaG)11v|T@B4O{42`+tCE{;mpLf`5t>EHL8y(}I^=
zLRVqB7sr+8VNPlL2jTGNDYi4_u-dJp#Jh0i<Gifnu-@UY^NDcW&fCu~z*_?wozq}G
zHQse+_`e-(hn~VaU(C=1!BYtaN~Q4bgBwzAz!ZWOH_PEM3XPRu_`P7F|0{Ug<t9~<
z?=F$uR0|h{Y)QNW*Gx<|Hp7QqgU3SQnTzXmEpT2}qY^nk*TLS8_7i-Ny1bp_XD}og
z_rvssiz0FGn<E28qwv->J2#Rad*yH3IQ(=ut%aP&o91&Zb^)eb@v<WMzOOR+7vT;2
zi^|A(#+(iUeH*o~A0D^2?tOT3vmrkf+@16+gPiZn&f2n_74|%5FP8+fMN*t&hdCq?
zBguKkCsz;IZi5pVW_wBg(xPYfc6eccUz(hEe4DK_Yd2gwb;*aEms}scI4cbI7^HQR
z^Nv&PWo9Kve%lOR9(?_r$9^feDuCCMoOhf!|6Eoc7QA}4hMbqY<KjQ>gK)Y}BzF~D
z)FkeC3VwaDI+%Q(R<&o}Nw_vCPU12A={)T|8@Mmvjb}Q%MY8nkY4{d%#`Z+`K>x&)
z9XxlV%RU}f`4X9K3v0UOF+{@MELCaF@WylfX5ny!gY8L2cysCVHF93@l~2!3c*1}8
zZjJVZCqEx&y#nu<9zWm#vkQ8#T!UTC)A(P8&tKwg^@6oRCxuCQqL(|+;s=l1-FnFZ
zHg4+=^o7r{PI8`s?OA>X1i@C1Hd~*9A1uZl3V=g`#;8eol`PLv3Wdj#HyE41Cgb|c
z!Eo{L;0igf*iQK5QUvVg_ghs9_D%km9}a)r)%%5<SIl*WI{z+At3SU_2^QnevX6#^
zP1<|NdBu7*`F06#F~uam6l`(ckUtK-;!xj2&MT&oFxrs}JErt93BepU=Xw+27W=X?
za$fPd9bY~^g}u)7=y1UrI|HMhz?)*r=E(gy`Ohmd53V(<Q=o_2bUAc#;2$#?!<%6G
zC)C<SFrR#$=th|GP{xJ=cv>=|;}`DtG0rH8GB|2OEcXihbycjg1YWoBsQCe3ILca4
z1#c_y-ufL5@y&CqfJIy_3&!Ab^XN-8aE+nWuVMIzNaHxk-!mehMb0Z``I0{N8g4S#
z8TAg14m*@g@<l{99U${H#|6J9w!z2l|7|Aq(~w8Nu~xXVZ^*R_9y2_Cv<r6m)Kgvp
z$IN`Adk=?Pt2#~QqoykYX@=mY%^CA#{;Fa#SN#A?$sUqG&M!W&<x%Z4Y@K~p>^>~L
zN!Diyej%v)J_;6$S@fEP|CPw_koLl~H$Y|v{t?Mj8w95^{NDEmPFI;QA?*+Qrd!ji
zaB<MPU!ElHI{Rg_HtK)X@Gx>-@j14uX`A4|`76?-eRMVxPNjwau^ao4_R&-G*@>-i
zgNWiz(*9a(wJ>Lb{kvJ6N&8!Tc!Ze&9@1W8J_dUS1v9b3^4Gd8Nc+yemEkQ5ENb#<
zgAUx$@~oK~7NWnas|mlkzyBsD{1g-Cr2o;PaN)*om{yxFKps{uo0AuWv!}O;?Std*
z1s@QDnPon>k@;PF%dPXmu-bvw+`HlOiU+e2unBdT%}#i-Wn0!Bn9b$tRvuV0P43A-
zxGZtQ12&lcY{_YPIM#VijSk+`uV|$Li@zxd-3lN5QqFk@j{EaaY6E;>NRdMW9vVL7
zy@vi1gIsyL8r<uCL|_>fR4Z;ZglXQ@6wSd)(wQoHu$W*v#W1X=9Hn#u)=H#}>4T#_
zQ7@aqZkGS#JK@Uj9*d{ozQH{IcKCYdOx{U2d}FEzd4HgrwKm%k=8j#hsD&?N$=ce(
zBZA-0koOPLdJ=3dz_haWvP$8)GTLqD;ZwUpjPhYVJ7=EDu*r+P_sRPV@1j0;U4+FM
zcB*E;Mz7>MJ>luS4I!y;lx%j`6<B+uLXz}P8*-0_1i)$eD>X6jzxQ=&{xH|O8GF*-
zE#hTU4S`F&LkdWLIWWxsR}ftC+t-Zrr*qWL&y>PbtyV|R!xi+*vK8>eR_k1MICHOw
zbPe2^HMB^c2d;Ylx%wLB-#>iB8$L|`!Ra?lmtzoZ3*VdN*tH6$o;Q`Zghj=#@Nd?^
zcp@G18&mjOb@3-k_=*D0MFaSl<L4e4INRuQxgPvmlQ((`{B7{sX>~Z;O*N7c-sRhs
zsR}DRxUNkPe|Pz8AP*nVO3`E^@mQ(&{curb-#RnwGO4J%7vAt?`5zaY8++%L80_>|
zx{L$9s-3WRC+x_5rg#_0-!JoW8|)mCaDFFjc~s>bd499h>a<mcJ5&vCZG}_S9_6UQ
zdViINnBkhG%1i@T>*F(5I(UBTy&p#ZcTzL?yz;51(^hbP+&^<h*eWbU${LpH|5C^a
zcci3>d%)~>Pll5CF8@%stMF--!($}way8NE9_+`TNlE5!c4tKu#=$KeA(rg$p^&JY
z99TR*SC+&FLt<>R;7z=3{p5MHnJe6;02bru79{gKdA4_W^Wos}rMJKEJiFk2llwV5
zYX6I61#X_ctwG{5Yp1ph!ke;^G&5l*E3=wm_(|yF^+)h(n1_8YocgbPLkg^M#(4*s
z@9D8>tb71}=?`h_gzw(!dqMvF6uZ5A$$2<_dnqKNU}L6&R`Pzb<Reb0+i+-oVqg>e
zjZHTr5H9-D+DYDTj_9*}d>v-xEefrG*V!I%dciwVhI+~S(Mh7Ox!vGwkylYU@Mxp;
zngcwzn_(|`-?~&s;jb$^S1Wxb7-s4EK5Pfq*!VD$@tD0^$_HKG*^JZ^XJOS<PGd*d
zi=!^n1fFLdFt`Z&e4U&n^EFL6bXzXKocmVewBS9HEmT)vqcH9v4fx8tJy%J-yo}Ob
zGCmb#G;zff*5tRmLdK_lZ{Uz5`4Rpu+sOD=Gu7KY*WeG!p|)iF%YEbT3G)97sYs&T
z4pRkZjrqa!Wo1Xnc-ptN-XvdmU;mrmWW4QgcR*qg{Nv2%VJ6tlzUXKGe0_59D>Zz3
z#@sj*zP3msO$C2%xkVEKU+U-kM8*db7n`X_d5XWK=C}eI2mX9{7k<!toM{#w5sG|~
z2sd9jYyKVPm9nQyhWU963dwwqNU+@BLXzKVb(_TPG`Q4D;5Rw{jgt84h_>=;*hS`$
z8~Hxna;cztn959`h5WrUd5=AQz)N@YyuZNj74sy&!_L|50z>elz*l0w;cwd_3qQft
z^>t$_uvbcvIT@cd^VAwygS~e|q_)97H|iz+g*`SFX_4{Y^Kx(FDRnWQOB)tR#(yK|
z-x+OyHH@Cgk@4kkwOR&SVD8Z%UoyTNH?Bjy8J-Bv-c81<2e@lC(ZizYzAkw%b4YD9
z4SXsqgY7Y_t}Ii<3^V9ou}p_)R%P57;hd60%0yT~GVKxv+&1K>7Z2Z(O%r2-JF+4d
zBH*;|TSa(b=Tnvk!{Nw7TSvIy_K=$+WPT{a!)0&>JXWtS>JRT_Js-~pXB%JcxC(Dd
z7mX2zLr$!pz6@WR+odN8I~WU7JHr~9zS{d>1-`Ea4zTs`)eRD`w+HhwnJ<zqd$%SF
zx4!K-bP8TdYATb4F9!V@KL&R%az0mp)oe=ln84~n%oh&8n!ZC_I<U;TrL!`eI(DCz
z%(oa_JHAT^rnIhmP3DtKKPCyN!(#?MG)l1G!+U+I@Z-IY3uRzU@17nlnBkGduYGWH
zL|fE<@ZRyjR1ui=8(oAxEI4*xYB#K*N2#R?rw7_ZlKG@;kwY5Bun-+<4-fpXTl${?
zypd7amj#xPark{4X5I0<fe{`RJ5_uX)(PNrp@vgvA_^?vIo`UGO)#s$O-FP1#>kJ8
zf3e<a<FkCb({Sa+gp6OXl5+ZvQ*ef8z3x10!~b@hE$rRp6!QbN{qy33HC%BrUSSfh
zvl{MnfQ2Fy{m0<wpw2KmxW>~#q#u@cnh$Y-Tcv3(_QHj-AAgg4eSX`QP4LbQKUQ4f
zr!Jc|H^3hr4HuC7=u1+0FW|ciKT$04KAcwjVg<Zybi&RJew+LEK_M(wxOmnJcA`xf
z%ZJ0hPi*sqf4y%AeFD!b&2js}sufn98Sviv;Z7fT=Sa90*}vj@>}2~*nBG{hHUZx3
z_%Xx}R_il%Ap2KPu)X!lfH&o^wB3ZWRKC<ahBf8~g~<K`_mul8i{X#zgU^FtshevX
zN@10@Ooj+JX#4D+I@ok;d@@<@#^%kV-Uxs0Ikil_zqEMEp>FuvAEhAjeR9HzfgfQm
zh7E&vVFM~@|IhH#V@|uHVUHDu<{_B*`5xc<uz;ND>lwH*XMv8ak5g8?w{;HQXH;}9
z32sge-Mj*;Q!wU{{JWy>j{JiC7h0*vdbxjx>UAmfaKCcyKJpOu`j0kdBiv~=@;DQ|
zKermj1TWAA$&!2qCao?O_*<m%oou-3$)OHzxO97HH_4yWh~mW2?ll+Y)b<v@XCs5z
z1Yx(u5cfP-CwK7VZukqU$~$sCXhil$^F1*C9e=iBSXxs$RRY%kz2Akb-&0-{OWqGx
zOkFN1hcj5h#t*;`Glb}C;Y(KoN0ea|>NCe)!uOfKim1UojLdnBu+ZuLorZ9Ls;45!
zH)YatGKOcvci(#hGpwrEo5L$7O!`UwW|4w?3z%hbO{N{bP?wcs4eQ7W`?SK+ZrgvJ
zg=x2Uc6Gz`V$3s_;9*)08<HPCA1><-+a7pX*#nm`+>-KvDaJl+_yC_gw%O}CEMn<r
z@fqH>o5CXyp1BsE)(6La4XnNe7pW`#9))LJZdBfZlRp`#4a4e%TQ)|)e`n_JPr=e(
zDc9p*hF|N$6R=HAwB~)7>SUS%xnGCl?x?52iv8Js-{8fb9bxHkbExj8pYWQ;wva4%
zho2!ox!-@v6}RWW%GYPElKLR%c0p?qT>fR|)iP||tjG2oJ|`W@wGO+t=`g>5|1jS=
zP3jZH@UP}CVYzJna#G*C`)}%a1N>u+bA1EscQZV>34S(SU`7Lf_P8DY0d`!8nIQQk
zEwV#Ba3#N}GCh2Gv&_ICTt3JeMDmsUMg>RU@Z(QEllt#{#~|M<{PrN;tcGh}#Gadn
zcQ0+MXNSYC-nChUZMTiku)<fy46=X22X<XL%L^~}>pa?`kMX>I{&|wW<uu)Q8dz00
zUuQd9`e5r<X1KcSMij|!O77Ul274LNeiek@+-cj(3vV&)l@x#n84|DX!E#DAA!L2#
z-l7DzUGRrev34O?tH_~J2tGeuBrFLJZ*eHw3vci9xUdJN3{hH_BtH4CQ5Nofe(={J
zxG>}DF_ORc2#1;~%;@kp_W*3Oi(Od@o~<eVN%FZ4^t{u9`xMI_{Rcm_`1IBUE?;-}
zb{J;<_=@E?tXw*!t_Od}ea&bI3(dxcYQv_Pd1hAd)}O3nMzEGt;jwe@&(s&92JmEd
zYLY#?XF>j^DZEW3Gwup3P<EZs7+&j09`uBh^j7Roz)Jn8{l0LT&E0&GuloIgpg(*;
zgO-}K&oh2$e35W`zuY~NFPEKhE*g%b$o*~&FZDh-{SaQb(d1<b2k;bRrop^Z3Z1s_
z!Lfq0XK<F`f2Ya!(H*M&S_m)yE-ABzQy#t=dj(hN7HHVO&zXC~U&H(ge92BQHAC0#
z4w&oG7O``%b;7($CmfsZcGCqmllW#o48MAPgpu?w7CV><Mq#Z3&+RY5vo9$!SKyGF
z!v{&cpJm_dFL+8)<1UGdU2Oa)bp-ck&#MLt_~5ad5t6WskF5*oZ)|<l<#PhoJX*p+
zu20oZe;G5FGTf?C0gjXWEOZ$T3jNzD0aJXrId~Dite)*n%G2feZ{0yKE%&-UDX;gP
z!omaKUs}%=NqHW9mUQDGd?w&09WBhUS@u9O93h=qvJrL+*d|s12ZoikuHgRdx6BzS
zh1V)CxX;2_f>wjoa1FO}<#%{-^u16GOfg)<vIK8aoMxGZWAu-dj>B88xSsqDo9~HW
zn1Qt$9E~>^U_9x!$S{d#JX^g_3D>dM$&<K9{F|V?@Sb70{sFlCk7Ju8e4g1whSX=*
z(m&Pc!HpH>x}<*GYIJL>0r@;vXgaAMZRbb+IKtC+6e>u4Tl*zZ<2)S8W5-PDOWuG{
zxe&P0@{=&Be`Q{0-Ux-4IX3u_`Zrq7_{u|AKjWDZiMJo*f0+im#&$g=@c_4);!^m+
z_0wJ?-p73ZZ#itAdE-5a-(8Vhcn5F)HkC%=e>GVYJK#Zms^28;)c0`T1bp(l-dhqM
z{1oQ(1?~y5-8l#s@-Vsng+={C7D!z9Emip%tZ$O6OXBq9etE2hSf8Ag!t)XK=JZ=;
zhgFN7xsmt*F2^Y;m_7A<a2LG#%3Vqp9{=!pi1feSnDhwgz`<uDpON^5?C-96a7RZx
zHTk`Dzy5db41Bv%sE5Sg%-QDKzz0u@OOp7R{*nw&nB#H$8i|+0eE#kQ3;QRSl6a}e
zuF(isN^o>HX%9OiO~s?(D7m5QB(B(gin|2%D`e<tgEKfD+LXczlT?!Ada?W))E|cB
zSsPkO`>V1mf^rac<?D7Q?Kyv1`04_@ekWMH6waUA|7;GXX1xE6^e1)>bY!l<90{gZ
zp2Ehx9#((h<3Wymsc`BBDl-}*{QGwDW+uXh2Kx0>Fx4LQmD{kEc~}h{EZxqf6b#R+
zN_vv~T_bzOec?|nj+dF?BnAr6YjBr9(J;vm(--k_hLd6^23X;FhTqi=u#DM0T}HUO
zT7bbE{#I<M$pMS8FPI#M*-ef*k+@EixSkSRw|>Qr#3f(;iBy0o7q5hp_}LWc5PlM0
zh`2@K1F{?6@xfwkI@a{?W<5<8vOg)`Ez?tMa8?*c(J$D}b+<e%+<fquNiSSJyjzw9
zzP)>Q{0BI^XA9$2IMBuN0NIbkZsR{1CivV&iECuPqyAF&tK{>`^;)fDzZ2mWYj^Vb
zrXQTlDe%T`{UhY>bMKV0z5};T)qW;_e`t99aVXq-cYOl`eE5@K$|cxhtp6X0haXrN
zy#NPiS~-)y$MSoNj1`<cEMw0Jo6LOhJPES|E%C9#*H4b@I11;eG;(i)g+Jxk8o|^u
z!5!Ri_0uvsvL83E>(N$zxU=Af@qe&eA#1>Pcwi*#ml90r+V8s?KJ9L-d=NfH@nF9o
z+_%|kQVKq=VkIR8zZDb^mxQZ!@J$KBC7cpnLh#Aq{xJ!d<JAw&U2raAV&We70^8qL
zys&N_UCcpveZ^ge1D?Ixq%990tq7Q>hhs+$$ee_OCVpvC!0F{*zM8{#rRnF%`2#yo
z>>sg%4OLEflk*3jeHn?jg{@Xyc9Qc41`KLKz2N?7?YR-y`k$SeCmg_YCgBs@=eI{T
z9QMxLZb$Zmzijw!8e87gyfl$#Ap6COa#&49!Kw01CS<?)zcOn{5wO1M$ZxWLJ;fl~
zy(CyOZ8?DKUmsmusGA5cu(9kZfSvDFsXc|o!+4*Q^FA8+kFP$42b|<jrNdhucK^(U
zQ|8Lk$oT*TJ}%kW@N=n;I`Qz=d)8^?a8PGkXEf|8x?)xeXWW?i|M_7Lt_~X1!vp*K
zD9QO@v<(-jUc<i)e&>+$!#4jJq<90raX&wI74C_<Sk?$1nGH`M=bhZ&aX7ylw(f8c
zaE6^Oci48qlck|=Y+!{(nKPeY3AaW1Gq8taEk_T`Udd5v1}}?Wr=NiLG>#~nz?#9-
z^`kJWH`Ny%c<M%J<s97epx%|7CuVu~(4`;n>#DDuO0dxDA^X3u^3SAHIrz<;v)g~e
z;y3EFCE&(|Rkkh07!PiBdM^S$_V8+<g3r~*c=5y8WiK1);IaLq)qF5(nDTWRcwZ!q
z9Xl)`_VO|p{F6HE2O~WF{Gb>Ito-h695vj^JI*T(-#;6Bb{*&C6gOLRiog*MYiU>D
z_RZDJa&V!B!o7J|<ov!HvT){iJEgC1+Hla7!|-HgXZ;xLy|yH-3J+CnaOsE5vXplk
zz=n6Mmp;JNH*$LQV14?S<ah8^>o095;6IBKyPIL!Iinym;$hCVSFm%%J&*r!bl>q*
z{eK+5%cf|M5>X+^&euvt_KvKGBAJnpjHJvWBT2F{vq~B=lcF*+LnI?3krknY-|O@H
z^Z9tc@444K&bgm;-XCY!^nrh33B1v1S<nfl+xSAM5RRE(<@ScBcZ@gW!NZ1LJ)UsZ
z$R3Y$IP*a4`xrR%=-HrqaM|w3E79<Sh$I2Bzfp<oh;tTPC04LR_CI=QAjzEp$1abj
zlKqq_H*>Q+g_lo^@{#?qo_}#`DS$gd_P4si1|JRHSCIJP_LEMqmT}6JGWbiJ!3MH_
zRQT14Znf~oJ(4#q;JDYNeDC41gO^3gepG%#$@`n&UsC5Tk^QW0xQ~3UhsCn8ILLli
z6P@YJ-LRmUca}2Dws$PJ6ZQ}**O7%~%J2CO!*;6ypCsUv%5KpixcJz6KOs0dS!>@S
z+|*^J!3(=phjh=wUt>~dIbhR&yFP9_f%{j4hWAc*2h}hu6|DSfLn{~jt;J*WcGxvD
z!E`sw{!_(-1zu%7Ubr8&Vq!F4hkfOC%#(aE{_+tnxMQ<lhA7N<CuHCNd^G*&82LQv
zmlZq&VEva5;^g6CUZx9&;nX6t9`g5mp{mf9fge<y8zkRPN=&qxB23NB#&ZJR+HKdX
z0!P_i>>%H-MZSEeHe4^lwUg}6<^EcPOAp@BRCmDv_C7|p+Zaair{}h?lg{q~GdSjO
zwKdtFYko&tt`#i#)$SqLpX>AHkH5~sq4t|s$$n|uL-VE_;hGzd70Lcw)h3SvF2I)I
z^D|+v2Wy0%Cwyi{l=ux;ZT8LwFE}$&<W@ACddB0eKP(mXzBvN6D)HYG01Kb6JrD<5
zbe*BO2^-WcI^Kb|J$BU(hktk9eVYhB@-@(ofgjcEqrMNDG~33-!YiDwEz;n~;e)r*
z;Th}3VUoY3t<sqZ)2yA7&4efBs2ZP<xZv696qwnSZ$}aQf&LF0*>7*<D(%(^c!Q~%
zCCT6CBWzv?dtRe?`3Np%nm*nLJBCcilKgZ|j>L~}?6hC(6Ikux%H2<}e$IFo$(Ilp
z9_WIZEPRBE;1iBay<cI2@Ikj{B;Qk&XAn*gcdajjyUh=9eTSWe+c%Tzo7W`u#Uxz7
z@w1{99u5e4@(bQ1pt=4IR&{&7ya4~+^~r?XKb&;(=U3paWWmG+c%W=nZVlG%dO6n)
zJF0X^QyXIadkeipE4(bSFNhY-G>VD%3_HJ?^xgs2Jr`u|fZJZl)$D}zy`MRe``7c=
z`(JayY+siPNWP?;58Xa^@AMVwA^5*ir8QxgoqO#T$-k|grXdDrT=E|#_d{(HdwB);
zQrxU#KYV?y@#ZnulkdXYG1yU|Fh~QAo=T${fop7cHEY3?jT{y~;keWNH7DVeYR_*Z
zzac@7=@fi*a9U;to@ba_bA?YYnoyGc9G}iPX}ZISnoZ^;u6*R6!gcr?+u9(xUw2C6
zg$2Tw3NA|jg0IHi2o8hQwS%twKYt5j%Pm;;&_X-8|4XXYze|AS+BTb!{LT*JEy?he
zS>LCBVUB!phD`X;pX>7^f42CY(L?yyxhbs;_<d15ntA*&Jos%olI+K3R4bkM1g^ht
zHcE~7^Oc=(FX7e*lY^A-I@R-m5|}Bf>e?pw?08J?YxwF?Ni`k3cc9g^23{Nsabtsd
z=!%>g;L>vMB3Afy!}@wN965E&h7Ud?GxoO=juQ~c=7F~bRZ@?^^`ag0XW;mQMH{Bz
zi|H?QEZ|2DuG%wjU*PtvbMPmAi({*>dP@U8$=`5|Gh!XCo#hFzhwYo`0vU}k-+1sN
z4QVgrOSd;|flb1BPCLOS?6tM5@c5};X(XSKDsDR)oI$6t><X(W_|x&hL#*9bN&a>@
zLqmQziSkgVJA5xrT~8ENSDf5Q+AFJ`|AzmAZD}GuT!*Ka7y4ykp#lwhe>ifngI^ww
z3XQi4g_V_?cvRu!486=C*f#5_t2(@=HtFvz_)BV@lOF7GQco@n-mZRigCV>%YGg72
z9>3wUVg|d1#R!x37}GzqnA7mwM((dUuw0;7ge`p1zJco@JTWUx=>`ib^L}cE?XD}Y
zdBKgdHLPSmBCeZfJcHl>3i`(1uq>^HuOECQ()H#tOe<Y*BLXhr+&_63?cHD9U4gOi
zv`UeXC|npc^Dz!C%b5<AhGpB?>XTtcWxrYpxb>eTODfzuTf`|3|NCRTB^%b-C~qwb
zyJQBL=fbRiFO@38;>Qb(3*ppjfBq`M!Cswd&tSV6;S-v0f7{07Qkd@ble=m#vyb5S
za=1a~+oT@68esPAEgbsFQdkGJEiUu^04sfX(`NzSrJC^g2$!Tva+$+&w5AO0@ciW6
zk4|u5VmNgVyhnt3s{>qgo+|k(+*Wz|wKr^|A{##f=Q!1GxC~QlrSqAD8y~9Ekb0H*
z?^G`Rf`^|z(ujb+6e|5=G{)z1vN%oZrN%}kFR{SNE>F`)y;aSv+h6U6ca)ueMCuX7
zMER8P!~ZSiPI16nUQbd8!j{?9D!g#TgyGs@*usqN#(ua}R5?xxj?I*k5Qkr6Jh?3o
zFIRbak@~_X$^`lp;eY0l&C>9#p7?HcSn+4wR!KO-m5o~qW^C`Xmxo#8LpcrLL!X)R
zWnpK-%}$1JCEbCIDzJL1kF7ae6m(Mg7`(xj>X`*hyY7&v2_L-e{@4cYp1#+o2CHUm
zT(*UWiyn#}hhJR1IPVOHv$c5Yz|z~O6kK7GLw!v~@S4<+#8o)Ya=!t|uO7M*a1G8V
z5X?1&nMEf2LSbD$%?XmPbTX{&Cj5`}#4$^_&TzRV8um7K3NnWs{v~a>19vI7^`3>f
zvNvr?fVr20IjrEr%`Z%nV4;KI9;Cm|a)9SV2CQYA@X{7e``DV21#f6g-h2Vh={T0~
z2p)IK(IevpXBo0ZpTfN-^8a0dPZ{qPEP+=n3*~)aUyEBc74XCB1wYC7g!NB~s%m&)
z;ju6opZFP}lu-|V+MFRy#y29Ct5RCw$Nh<(De(U2k)|Hlsn5TSjGvggIMofpJR2@D
zzk;7`yRG~aUhI<oK*rb1{_Itlhnp4m(UJK(r{)1$W)rk$=eg=lF+TW}G1huF9CKum
z!5F5ejV$1R{XTuQCiAJD3m77V^P>wh$@pfpi^6YSc*~`@zhu01if&<65N^#pd(;YE
z*|>C61b*7C7E8uU)wLf>OTrtxwsey5SFLw1f~8@j**Sp=uwRAabp=?IzSxD#_Xgg>
z;~DVG*kyJ<IK2HRi#8nZAYthP-~I2nl`j0RiMfc(C;M{JTNuG2H6MTb!;c%K7f!<K
zmqRn7VT-@NXU@R$okvE={B(pW^U<^LDc&7N<KXT4+oT-f*5!9s@4&~Weg&O}lkcQ_
zBJ<x5y`Eijhwt}lu-=Cks=FI6!S7ykxun6&T1GX2@WxWdS(1P5aln=kxVl$PJrgc@
zwL%jM$5whZq`-8NqK0vBKd0utZ1_@3j#ehDHtC*4j#qnT_})W!+pS|Ox$yI`FWy~n
zzHa|}@_Dr+qXa*}<r{XoM#3*0hq=GO3>_PP-GE0g-RT~HC+B68uED|w{TdeFoE;%&
zykNVbPpnI@Xq$R5iCezjz07Bd_A}LoYtC^0XyGGX_*^mrKN)|28uc^b7<@NaSeT68
zzfkefRe-;xU+yOJ2R^G2vZvsbH+FqwK0-uk+ssKg&E|QC9Q;f&c*q479ahnlfJf6P
z;?BeC>vw*U`H+vrGX7DpfUBA`7aS~C*Kiwt!a5(tN8F$B_5p07v3J{kxax{DQ#$-x
zsKNda{3Q4xeJ*_ON^dU7A4*p+$%l_U3S1}iDKn-82G3w;mncOcnB%whgBS4L@BhV<
z&!cj(JfR%!+H>^tVR)M#g?JULz7iaw41d{wN%#XCmKgd$5zc0-uWf+;lr(sd`H;<2
z@-=O6b=8L=GJn!EWURCRFUt<qHo_Np%GIXe#PNmDX4oRy!D<!O&!Zcq!+MtV`qFcY
zaQmUXS)1T9YzreBPvZZbYQ;zbe$x7MkPgmP>yJAO?`@6|+63=#aQR7|4|6(voPRs)
z%BdqH4WE4a-(?o~ZCFo`BE0Lz6PNw4`<ZZRS@?*5QaKMCOt-^=)R)XTak5wd{>=A1
zndHB+KdLVZKeAcYG=Lkg{nM6$4@|xb*MqCq=kLqF!&kM3$n#|-?~3j!!Vi3y_Zz`+
zg-?W4;nJHNE$85UrS6Ax;OL+ITh78v+@4-~@R)<OofGW&S;oT{UQ^`Cv4@vy6yKP_
z`)JcvU17-sG_Ov>9)@P}F7Syv+vu&~b2gvvdcrp8-Bb?nJa=TLJIo&S-M|Tcc$Go$
z3Ovp3q3I1ju(vND`O944_k7{ewIND>_=-4l)J=GAyKsm%{8>-zOE~;1JNpZH9*tw%
zuCf9?K=C@2y#JQX2@J1c>u#Y%a=hWJs?~N_erHJui5Fj9(dvYA_i!^^hHH82W#(W-
zjlWyS^Y!t60)I}!{qA?l$oG-W*E9SN4&y$5gw*G>EsehS7mj&FHA22m&TT!BbY>X;
zxY2fwtl#=_Izo{K7LImiBI~zQzST*wz&|euMU(oV3{&0{+u#oq_0r^dd$FY4Aujm9
zq<@(>yv4@&?jHDj3x|yW9P#dZG!Oio!z1$`Of?v*v>)DKvrTs|JWx^~BMNuKzx=ox
z4!UjfQwUDcG4>+sw?=6CzyAlb{g+v?1r`zyO*{<KYAail^;^ULg~uquDn(sG8)0Wo
z5fynjNyhuuA6yUb^ByUv!j=`4jpTXIwXx&Bl;DnxGoI7%%kA<%^x+D{Z@<T3RmOoN
zJvjDWNa`S*Tc96r3>QDI9{38+t;}i~!UaxtVV&><`)O5kxSTn?z8#*aTwOAS8--Lo
z8sK0{yZO`bTbrvdYGHLl>TC;mW?-LX6`Y#WnCt|bj)i?KgL}>Gk2}Dlts*y`!KS@?
z)h@$6zi!b!hIeU~EqlNhwZ)&2`+xOs+nE4Z@n(?N0}|(1Nxuds9vA#V?&sI|#G{ko
zaEhES;V|R(s$&W8q`qNDAiRk&O8g0YswPs^7e2VaGWH1ej5s>u2H$woRy7P)PpHkD
zf?dMTFpj}<ucKAT{o9QrhHeTjJ9a&U%(vdR<2IRrRnOFZafG#&Lv&W*bInPoNPhiE
zuEceC=HTEn@_X>r<=SmVbF?o5v&8J-7b9H#Ti_nHu^X=N>citbtgzwA+gg&(k+N`r
z4d(9K$mt31i8S292S1=INFn+0iR(`Mu<3z`dGdSol+nUk3g(mx@o<NO#I_X5z$Nij
z_2lnO<a2ze4maM{(j>>LwdS7JgpY~_re1|BdwqYH!b$9_oMb(jvcOR(bGUy-%=0?D
zejrB30gim1yg-ikHPY;g6CB^wtQ7?RIN$Dk4X!O|qrU=kUdt*EfI0rGpCR$zLJ~PC
zu(XlSX>$DYLCn8XVcoKfB69qK;pm|XxMF7DIr)5gSA0cY!&khi=t+BI6YHk!<8bt@
zxezknOuw@A-6;H{w_Sv^hYTCIs(!-lt}3qoZ%<M3x=p~kckwkMK5|0Dc@9o3jyp-(
zYg4b30!ds^Th>G#o;jm@mBi^;^5bOTa5bw~5>IH=i6y_6FXT+4NW4d(qMiJ{KAyPn
zi@e|W?kfkjz`c#9r{>|EL*ura;axv(Qcl6iKX2H~qrI58&vlK&m6I1TW?}aG-w%z!
z+|+yzNc(eoWUJ@^e1oCrG+BR>sU-ZZ53aP0qAP>Dj-3472|pZQttab!?(FhS=z#wP
z&A7jS553BI&;*}#_Yf!Ze}Ap#DeB-K8GCO$grBJGqk9XV{_{Yc%>QkE>*xFmwzgMK
ziif|A6}Y{Gr+BdiH0*O!_vRBgC+9!20GL-MI5GzwdYjD_48IXwoy&kFO;lVw;P?wt
zOG$9-=chuK;d5tv@)F=z_pWxkz~vf6Pwv1^BS+&e!VYDBt!~4NaZitt{(+*Nq+J+!
z{RS2a(*AFh57>1B7Bcwyi1aTGU8~%49aa}R>P-3%w`VrDUWM5kDOpMX<jNP#&dYEM
z*Xgb^aA{-8jZ5%13ZCnve-pEH=N&uPhqY+~$v0tjS2+heNk-?B{*I0-Ry)Ibzx$j>
z{+)BKPfo%pZ}^(@w|du}yfA=osO0#Q{@75h-!5I)C!eRC^#1}gtM;hDBQo}PNdGR%
zg+W3A<`hkeCjCjdy@p4m;Sl!j|JTd+Iwzkh4&Tew%w$3Q#>wz3LD=NqHJhFA5A%($
zcwzg3Osh5YXEz@(e9H+-S$6E*h<J+Sk{mOfkzwH0jX0lxk@9AE<2`S&UeX_y_ROV)
z-NL(r>){*fodp|Ujj?5wCb*rClKCI*Pu;r=?^nPQ-gdiw!vbF~oO}&8_fa(df{P~D
zD2m~g&vvboa09nkbtz1LD_`O}Y{eI}gX}j^P`6EX5MHml+nEpVW-Xig3U9BHy_NyT
ztnZ!gg1tI56duB!O-&C!k$jfv@npEpTH?`1SS)QZm+V);`DE0x5f<Q2JP{8cpV6~<
z2lMkk*q#WpR#385!zn8YuVUbXxi0J#u){?Kzq_#I{DJ0D*dk(pmy8#jjEL!Y1}}K_
zjz+<YCdWeyVf!!M(V_6yr1D$2aEpxV@i2I3)K5MeemB19&vm%8Yg{=M-uP;@Gzi|C
zR=Ai9`xM<jdj<Y^l;d9<9QH3{zd!sk<olCYI8vUg$rJW%HY$pMJyvKV$au$tdp!2x
z@LFi9#6|ertvk*^aCvFaZ+DoUO0L}>&MAGOaTfMJ@}%1fW;2YWvxPh8RAw*27oVw8
zlku1w){5Vb@TJ^6@5y+LHcikeTbQOzZWkFJ>NZ}rBEQcqqFX<c@t=~nW6b3DIa=mH
z02yC0s<dV!zyC*=oR5+5Bd)6o*GPMzh%Wf<A=tmXGFTH9RMRmMf~}dJOR2*@q`Fqg
zd~g4fs2pjZ=u9M3^1%xY{Iha!0q=f$E;!aI@3$nprZaS4KivI1JD0R~Xxi;t+2G`b
z15ZeMNcqD4+Z-_ChlADv@Z!-N85Y>B^q@0oZy614DI@vC55&0G;q;#|XSczc3;80X
zJ+~<&CY{8M*W2PY!to}N3v@6Amq8L~4`$Q}7j1$CR)RM!!h$`#v?~~oYqg-Ioq_ii
zz5TEXuhMI{Ou#QFi`b^%<bsdx!*Hs)R?iIl$7`N<2xdC>Ht;(<R_i0s3omjQDv|kU
zgKb&;-SB~+x=Au0eV0*Sq!ng-X8dRbX6Q1DZ-yDH>y7&09RH!@T6mW71j_)-^MOVG
zJzTU}Q`rUYVNWq8?d8NB8du4DcE->rx>vA>S?K{XpS||YlIbP9drWGq0}ecx`1Uz`
z)gwE)5mxQuu6+bMd+s|<#w+U*&-v!T89GtR@8P9|>1!EqQVmsU9ehdpKk+m;cf{5D
z4Sdl;L;en&Bd0$|@>7cL&PBublS{+M{J6V6=MriEr~B{MB>8uZUGqcXi+o|fO5hD<
zfiFq_;jW3k8_920>2<ga8_5;zCi}&^`rBM^CHdjodP%;}kE(qx@XiX4ph8%`sZH<<
z?DS?I1<5bfmKd~vH;V*3BKz5^{jMA({U6ouZB8UVex5hM5bjD9VIkwUuZktJNPp_o
zm3MbY{>%D@rpoXiH?E^uu<@{v<xyBW&SoVW7WYiwdITQq#1AX%DSL=j99F&X&n6v~
z(8;JL{k!&MLq;-wyst{2g&)?ViEc`QU+d)t^1)rbBc8Fa=>@D)ft@VbCGHVllAK|O
z^=GSZguo76H4CJ_$=x@vb`!4F(at6P(cnbY*=umbsh$GTU-ejVD-48-^=+-`;eN{M
zlfJO*<^?+nc%tXW&a1G<SJr0IKQ8zb;^Yj=e97$~{bL%ITz)bh|EE~t2I*g0(=4>x
z!41~!5u|_pwS3zhM_BKbi{d1#xpYd_8lGU@s5Sym?DhO>0}D*0{TYHCb1E}W!Lf7y
zt@px*)!NUVh6BT|*>%A(a%W!Z!l7-f&MmN&>V-@CFn`Qju8;8a%jbJEVA>EfUNSx)
zFJ9TF1zXh6_0+&Wrq)B0VAgZ#{jXq$L26Z1c=tZzJ7l~;bX0ActS@+ZVLG0SM-1v{
z6ez%F^Ru<dctw5E4HGGNEKAXVjA!I|2k$rnA3d{5MaDZyw^hFugY#+bGm!C+Mw{}h
z|G}9GX0OS3$-3I&0YP}<-G!QXSdD37l&n`s(k}OkgR^CMq7T5+Iwn`i_zRCWvmQTu
zAZV{x1pI79ducE1E><ZS0^6la7IVX@W49&(;r%u)XV~G$WBjvMVCHZ`PEL5~(!Wd}
zc;mgBwPbyR^3}vVcUb7KQ|K;OQN-QyB7FR2ipW;@?#NafN4PY>cX~VQD%{v`4z?Ek
zsz?DR9&l;3gikywTBm|NULOx8<4t{&!@2)3U-iW1SC|pJwXfKotdH31Q$2Saj#uAS
zJ`KxTJ1l9y=IQ<3WPL<yzwskA*sO_uKbdc%zx3}Z8P9S`Y9E}0cU_!5CkGd9{TD{&
z2VI}XIZ48_#%O}T2X6<ri@`e&ZAl{QB`)p|`Fsf8_W7e3nSb22BoJ{B9+sM?AoH1l
z{M|A8V8K%bZ^?XTOxR~tE?Aqo&56v1iaG{s?}A5CLix#j=^LgyFPPysef3vf!4_i2
z$~MFF13pK{dW+7>x-JZGy+^`uF`Tcq>P`vUPpV{)`PyIxCcceuV8dB$GM^iJ<F(*l
zjQ4q#&@+(v-iG>)K{Ea~HOTvd%m?pY2p*e-k0{r<k@@0BMGq3E;q4{gc4x!KBJ|U~
z!(~y|dvf8pUr}_!Fu(OP0W#mM#Hhm52j9uioFMbtYtJ33dtmX6R<U>Bf4-b`?eM>n
zc>^+^PMNCi*9ucu)2)#Cc4L;cfO=RkGQNz=$3H9<kgSE%ujij7^YzDjzRA9Uh4)MB
z3x}sEG_xw;`FRr$GT;Bsfik}cHeLTB<_9y(%AS4>KmIz=OV$f0Q7+j$g1t_kPax|F
z-qZcJD-Tw^;jMH5wyB@llL7l&UD)6TbLxt<r@~dU>v?2-0)NF+_kH-Zg_py5*fHmd
z;$3)5D7@SpetuF`EfRL3{O4^6i@v?_HynO$O}XC~p5@Zm5DaHOzBp(K-|L)oxCSd2
zT{)}{r+F1#@P-f256_bIBocqmbbG*`=f;&};D~_(U!CFdt=b!p!n<RGW1Qf$zuNiY
z@FK5HybZh@mFFM{-*Vf&fsA)g>*kb`^(3#=zfzO&a1EVx?}M;+9S64oeE;LT#}>HD
zYwDmD9CS$a@OIc&=1_nH{KDn;{#sZ3UaD-pAq*Fe$PCrP^+WGhx5H8AT$^lRC;EEI
z&2U>sX1D|Fdx+MB7Or`Axz7~#jAQiJ0Gr=>m}m}<1f1+!!F)thzQ<2Z_=xD)Zwqkg
zbaK89ymJ?0{4ZE+A;3@t-gjwd$|T%UkiAVE&g}VM@B`kk7FI3~)2&Rnet=gOXx+%`
zY4U_C>R^|z{B=ffXTqV{a+s=LRfW92I@S5@l`y}!W71i;XHbtP7xvrZ*Xaa5lVa_8
z2%pb3_9yXx<V^z)V980tqvY?UaO;juhUZ@kj9S3OK_3(1U}qoR%ro#{XNq1dyb`~n
zP5%C?_wE`+z=!H)>B;+R**VgO!%<@IpBuoRK3Q!Eg5A1bUL>D4%yfs3KTL7YyjmIl
zNWb-(7i^xbdR+~E^lC=j6OLTj!B77FF^)-@3vg<{zcEGFQnzLLJp625W3)6Jd#Z8a
z9DH?8fvzl^LSK}37IvfaT|5l8zkgbI3jXV3S|kB~q>5xSg+IzpQS-trRFPczaL>;7
zHGFVc-1SeoaMg6AGZ*|`IiOb!j#RWhv>%o@;S;R_o1Z<{!3H0H;u|Li&+sqZ=74_`
zc&<ysx6A^*ZGwk%eW}U(<%?TdX-qJc!qsvSI5dG#lLlsv419ACzI?2mh8}*p66SdT
zmQ9Q;+yM72MPK29mr4v>DB-E$B+)%^$th;ml?!NJL}f^_!iqD^9jkEV((_4Xc=2n5
z-)~q<zkF^peEhrek!5(lR7*AkOuKKx@C^J$uKO`1ES&Z{?HA0IF>AdMMp<>u33$@v
zkNscF?+&oB(@w$9q<8LFh7*2t6pp}!Nqf2HU^}C$F5lrVf0aH@!v|ddV;z8*H|zF)
zhwF~_bPU01;~uf2aLmgnzaE$+*FT{jX51`tqz|UJDs`a~_WSgwuN=0r+waf^2jyFG
zmBO{kWj9EC*Q6U;Dr^{>7(n9QHl3%E;RQF!pWU$jnq<K(I5_p|C^`O5#)O%h@aI$8
zlSqE?cg_3PVX@8QcZXs3puFCzu-0x4tsyx0wRw;yd_i|gc^tMID|zn@KU*+<Lh=<n
zcket4FR|>+oq*5%ciHR=%>Bg3lH~K><fAZ!RSb5U&cL1>*Hw(*r%b_bNq$l6aGWx{
zDOIV0e1B?}Wj`yz^es<#r{I$hQ}{*Ud>uQk1z418;k*zmJ@YAy9FM8exRL`FHV+9}
zgvFcl*V$lg*TpGvyuRK|2K4a5+SKple5nVWiKT({k29Yj$9uk3HS*g9<6UttwO3##
z`R#o3uyM3NF*#oBL3i(Oa9Z_;!c{nay}En=wi8j<{Rj3wxqovDtf=3?yaE3&%^%$K
zn&3Mkdj8~iXQEnDD`0B*FJ2UgQ{LtLRtk?qpZrFSr_$gjo(pe`=>I~6xRiap=R??8
z|Fjx89@l2R+Pkpgk*^B0u&tsy{T=u}w=?<Vcyop=<^gcCMt3GX9L>d+;tvnz?J^_z
zu`g>?FT=%D5hs}7i;P=tdce#lwp5b*MFZ!av+(=GE5%!3kz>!<t>CRUD$kSrf*GrK
zrZ9scuk8*JKc7Wo3~R>N?IzdPXJ5lY9r(^*J@aljC-Cl^CTudU<4^Kk%6}=zzzMv0
zUL5d!v%?{h@ItEax1I3FdUO{rtk@Xzg%iFg*}RJzP6|7*LgKYupSLr>M>we|w!you
z#kX#Tz0*^i$@P3LaC+ZAXZ$|-7<y2{KjLx**5J*LA8P!=_nYCP8Tb_*o3lCo8#ev+
zS78ulN#9dG3%69O#<aj1hX&sKfa~wg>9xb}(;f<t>$9j#D(x+7?BaBoTtBPJUoGFk
z3A;MJe}NxtxJL7eygv5+^e0%Vc<;N{@KQN-7Fl1iLifhG82&KanBNFv59~u_@Yfr1
zR`qa8```AbaK~vX`)ZilGxqiiSpS+Y#~XO}X%U%6up5;UcNzTfa?N4^iKoB%Tnvxq
zTc$pQ(>?_cko7aQGE)}0aQ_r#Tmk%FSqOC+Y~9k7MAqLpzusDt0cQ?%(qzCbd2%dw
z;0zUKmb<XUX4U9;_(%J4eGF{t@>wbx=BcV_4Tqm}8vl-gU)39h-h}4^zNdu23g__T
zCw$+^>Qn^DpM0rw4c>KfmNFQwiqp||gYAPl{Yk#O@DFNNSgGPHUjY0nPi40`%*LB?
zhQ!qk(#~1HGmOk7<o)(6a=VlDQPZlOV&wDvH1m6<55G**2}^|~r046EVDBjkD)N2E
zp44C=>#f9|TscL)uV~Y?-SV(*R{JjUee>3zuvLUPK4@Poh4+oWa6b&c)1I5Cgum>d
zuKW)U?m4gY0rr=8S|bE+ax7o3gR6=*Fp>3O-%KS;+hA1|9rpdO#@2?mF8JQ@1X~`M
z`Metc0PGnp<Gcr+jg1%^f)zMIi@D&B$LZxKV1ZW^HQV5pBax*u@GKQI6APSqcGK2n
zn5kcgod%|J2nt_?-+c41rGwj7D85nSdZ7Lt?fw_*;iA}GEjGdTUbesb2kWrUzF>ym
z>Yb|j4OcAfb7O^HTBR^9!*@?+)^WnjFEV#ez|r|@N<47u^>62X!scE9iGuK&jMe#3
zc;IKgsR+z!_Tc4r`2B9-LMgZ;Zs)5(See7v`3THSV@xv)t3LW%qXZkI9%Ux$|K!v;
z<uzcJ#><x7u#{3}oIX6yH)_)gKkj>b!VrE*Z@&Bq=A3NYcn(%9IY3<t7c^7&Il>a%
zr;pde6jL`l+~BX3RmRn@j6mA$OK_5S_@+1TCJHtgXE=w8nm3E&_v#6G!NMJ1deh;W
zFV&qF;O3^usR)?cp=L9QyB%!G42R28#b1*6{C(d1Ao%Tj0eA9#(rye^0dS8-;%@SJ
zl5U@~^MyG^BfHPTlKW)ZJ>kU9b_Y+viXrztUx0N7jYciu`AZt|=CJ$H-`4GLsYHc}
zAuPw$7r6rt()z?f)}IOu*orLRd>dXl&aDhHSStKngiB-RIz(a5;zJ@uF#oM<z5MW#
zGs~0YenY45MvWI9yq1478|J-Ypi9=zHr{prL+%ghDqfTva8XiyI=MfX{+F<o3HA`z
zWhePBw|w}p2{yfwUXubl-X85(#d_YI6g%WH;k>JC;bgt<O1Rx<BJ3S489xPAZD=@6
zj(0!GO_!`6&TrU7dml~}i!dkak1vQgUnj>)S8Cq+1$I1AdN2-NxjeRqtY;RET1h9z
z`<fu~sR35*Rna2%r|dJTL$6@EJ>E6s`agd+F1{R=%YS{I+@B1@_da+5CsLd^Nb;3N
zE*X*a*0EpiwUYY@XJVK&S&uFI_o*hypSBp?N!Dvyv&_$h!ZRMOoQd%BUY{o<U-h%t
ztvLAazdvi<u<n0VF;Va#kt-Ef;C#!dwJ^9hZgJCjxN41)ItZQ@cdv7SODQ5MuEPfX
z1s82$Uc)`rKJdsd9w7(#o(zQuS+D+5;{H`rcz4S^39_DDx|sfmIUMnf>F0U)iQchq
z2JofD%wOl=BGo4kjNlogy?JDPJnf+oH62(^v$*gS938Jic^t0dma-%3>uYMSKT?Bz
zYd<=lfZHC8*lWT~=Dj_-u;X8iQfc_9@})sF_=;A}C0W?}-}*hWzW<v;H-|Xfem5~i
z4)zlf>ydzC>kk>p!Yv7B0)$|PZ6D14gBQDs<V0c4YV&R6c>?jsp;10Krr|ax51iw9
z?KH`sj}YwK2b;U((eT3eb!)%uh9B+vRZa4L-m<^53qE17`#cxCH#9kw0p{43I?Mxe
zb}5_C!7ADBZgIeOP17&_#Pbvvwx{`#*Vm31@lC+u@80l`*H3#MKl=z?y8HR96v-Fj
zV9SF|6=obo;LR`i4kW>!hN-^&2YdUi^xcO?TXuyD!v9vT50mFt#Lf1ok$i(=W{Kqa
z6{{GL=>zcNivwvlVf7f1e13S%?cjtjT>k22;?jA{SIWPd^?*;U`<wiQ9TH<tyTW6p
zaoIoMl*fl`9pH~Np=W=>D~(JYHt@@=_~&2XY3{rp3wWw3@IpUqaw)D?2Y#fQMUw@W
zQ~u~MgkQP8(MpG_g;oo-U?cJRiEFUzb(K5=IGbTi_$pk|WVBNkE(jg>cZP=<<F*>X
zIrEe?j_|<`IsV7V>-(vh&0v<rK`#?{X^_j*1m@noI7*JEab#bPD%>x9aNs0-uU%$R
z2`;Wv&?UzUOgtic7}o1@Qac6v)EQh8fsaMC+$QhO<g4Yn>V)wOilTTm*o8?*U<2a!
zsGIdvVBsqVJC+b{;D2E(2Rnq)ME`|_bK5q{l6-{?Qomq5zY=EhJXGM@o?i<v_2u3M
zF}UtSTjEdH|Ng_z+;FRm_jZzhD6=JcAG|NXrThmRIahRVH@w6B$Yqir;x(*Gp4Td%
z7Ump*$2{wew!wiei#=nopx3`mTj2A$;{pA!$#gB-MtJd-^Pgcjd;>+>8lE3pE;yC`
z1-`qvv7bDD7Sz|WYX~kC*?f;Yf0n2C>dj|(MB_z1dA@C@=*Rg%ICuM+HF>^GqUmK4
ziBBIHaA<`oSx%dh<IP_a-rEd^{!>|RhgG#_h2Fq)D>pBbe3^8$(MtFOuM1}@tgFKJ
zlRU3?rH`(c<ooRi%q)Ua4JQK{;A#h(`~p}pAW-fj%=fa|`VriwVl(;<&h83!O@S%5
zgjkULCGp7vNpL@l4OKO4Hhn`j6n^KjEJ@-<zm|Rl!R?RQ``^M-7Pn|!;SpEWZ6uyV
zOI_s*ON_CXk$Co|bG`bo2w!J*6a4wtj~G4pRb#dudH)l;TgrLh;OLLfKfw)-cJBM(
zV|w?^Nq(EOxDPu_-!ZnM1-5_TJWigsHC6PseGNC(9i1W1<I)~}yO+G*$b5e`dHywd
z@J3xJ++J2#Km#jjHU(9{h8B6B*75vtqdeP{4A_6|+LvY6iosO!A$+M~Kx+Zk((Vnp
z3)5$n8BD>wLEDeT!{W0S=qE{>qkTLIwh7bRIs*4KQfI}$_w_03hT!?9HQHgYLt=k(
zFC5nWizWij?n@5+4C~StJ_&+ZyS*dZ;EC)W$56OYa>Hs9eC4lhnI~M~H9+|R-cRju
z$s6X6%dMz^7Y_(<T!cS_-mHEF=jLj6yTc+}Ccfpc&`yeLPVm*Yk^wK^pIbPOxWMNX
ztfFJ#^gZuvmmSgnb3S!55&lzHoc|l9?fFy^1W(YKNM*p$A@i^O;N0zIzp~&{+vYF(
z!iLkU3CVEIh3)<x@bQcPj8fs_Rvgn8;J-VSvZCOfR0_ZC;ZwA-XJX(<N6i9T*t+8j
zO&A>b+PUa7OnIdB?Jbz=Tm+9f>{iXV?FuZj{#?KizJBjt<5f7)2J6RQCOZjs7g$)8
zK2sfz&Ef2Fg^!K!oKl5jXv?nJ!*4DhKPwMgze$mHf-|FH+GXIui_JI8;1~8)J%?eT
z_yQ#h*ne;|MihSjU3tO~_H<%N;D>cWI3Jq8`4Z0byzl_4`hqGfNAqASCrq`Uqfi5`
zh^7c&gNOertVzL>*-|&R!*L#4%8tN^)49uxaAT}6-68mb&d@py%<Q{dEeQXy;3}np
zuTz9N@xb-xPgbp>-T;r4HZLFicrnpy1rC$wZsLUfi$D1<z_%Fg-`EGgtYDY=1<wlZ
z7h!`V1Wn{8VMCw(AM7y8<MhRG_~p1=3^P3cv2S$<_Ik{z!wNUl3KkE*UmYIKGs5MG
z4wau_ima1Qw!%G3m7ZO&bHP_*I#~Vif5CNdYOGWv$+s+yKKcQ+7%X$AhPS4;ndQU6
zu?m*t^<fr0+j8N)EtOQ{^&9r8>`jDy`^J69>%C^4e~yP^l5O^p*H2~YOb5bu{?Zzd
zI2YUd?CY@eg8woVd_Y6_`!Sey?qTR2_*2viVHNnVuJiyeylukGelz^yE#-4r*zg4F
zUIzH{PDe9wxKZRFAE|dC_4XOFBz$sv+rS1m`P_~QA>#Dmu|KGnVI5-TDGKwi-A-MC
zH(jpaI0(O#&&r;KrI=Q_$oZ6Nqu)j9Ype{G^X`Ua&GvGQ!fRs-0~|2VEd#+$_=kkI
z$2SL@4-IeeW_XKlj?gIVzOBo$7LGXhgu4l@ctl}K>UnUrb$xAyJtU56l)%z?d{+wK
zX{F%fPvQ5EH6)(GW$J9cd2o=DtUx>*ao8vz1CGx(9!-D`uWfvs1lNlxe7O#v`JnXT
zF6^~-A}$DKzEv-N9lmzw+hu9^<O?oYADH{r4^df|T1=DD9=@=3#cA0d;}zV`8LZ%D
z`9+=;crNaf-ziw?mz&1~{JKRk*a#krvKN|yBUW7(kHhS@`mglCBmM)c8ZgJbW{Cm#
zY{0)_HCT+1?rRs^LHXsqH2gO9i$2NE+p+F139spGU+#dLSTBT<dM%L+zn_tOg^YU&
zLa=GaA+u)KiRY3Y7tA0#+C=ijt1@Z#z_d4aUTTC@6t{0-g@rCn3z7UxBegnaxQdCZ
z^F7?!wZEGhPBVR@LGpwCTHdCFFH26(RKpwCq*H&Ro(z@SHJdt^PRIA;JiPC2KEoS$
zj^>2@C~WaYz@HpXS2JnvFx<>%#9IlEj?o<KgJmx>4OGER8Ad}ruz`R?XbEh3T41&j
z{ve(5=M{XL|9W0M$v^xytq2ZRpL|N{<*3eGFemw%5h_k^U`OegjfL<ljom)a;oW?L
zmq>nNvhU%iaQ^dk_Q$Y}?5Ip0Z1OFw^9kHbr!}7qCs(}o%ZA%fcJvO+FA<(c;@7Je
zs!2VdY|Siv5}!1#X(RQ5To`L=9>G)H(zmX`7wvkTGT|sX>O?nqg#E|YTzD`cz|a+T
zFIx>xgR|Vfn>)bQoBZWT{`sp8EOu~rNz7;>e3`C={R~{9#FUx>7ep9!l6pwpSGd&T
zV5)|SK2k3!+&_Lj9`4O;J8l3w4!_jB0iPB=YN`dlH9ANe4zt#tZcv4_DV2<U;JzI*
z)jIHrthS`fa8CMlKa#I?qhIL)yv=K~Cplj9^YdZn;V?$gagsk29nx(MH*^#Y8p08J
z+c;0czWr*6B>%ex=lkQZi$Lw2lW<2&&L&;BsA`hhh`c`Kt=UmHZuQ)nIV|I=nI;2^
z-B>Ci`7^gn)WzUdZRe-t?~nTRB~ln({u;x53RV+Z{IUm5iCt$u3!C!!?q`RKO<!w}
zxJ^##P6}d&{l`e0S)Tj!x*f(toF-gI+<RQra12)NR<R@TTK4*cVd9;vu_W$4J08^l
zYYy1mBJuNY&Ue<rtd_@0N!+38X2TP>;rh*|Bt9XqY1?C1aM6l^oR1xmGAlkXhY|mF
zJ@~_qr$v5nZ<C|~sfWe8<5ivwEJa7HPU>Y9bPL+p!EOs~<+AXD3E^kPaE_O9^?&d|
zjzp)EurNoZged&kJHAvMR{9<z#}C`FVf7UJPkGlfQqQZe>UWh4{L5svl+^q3YccjY
z3cE9Mrjhz!6q{vtu*0fZviI5HyuAabcEM-=qd&n0o3?jTY=wPJ?AO{0tGM}SGQujN
zGnAb0TA=$Z75wfp-_OIaOQ7nzf3|3UcuhYfpHH9W*!cz6Id#tkYxrE!7PBFE)%g=2
zIiC$Lw{7Twr()i1xdi{)7TD1WM+AD-lj|k*L8xyX>}hOKMy@Bp24~tDIB|{M<0?E?
z<^H4`b~({(POi`Bv7&(Ia5Lv+mfOU7l?U_T!U_ed2k_*h;FnqOOU04OBzW7^D2rrx
zm^ZzET>ospG=JQKlWmmjb6_h$<J(cNmspZo4eX<xofibVuZnMY3m@3{QvV7ZL7nuy
z6TYc*o7)2x_$`#)0sA?nH#osrXUc95!OkK)rnaysou<|R$$ulcW&x`k(kqR@TGJjX
z=J1iBiVGyJ`XOKD7#tDiZb#zZZhyZf4;KX8?;*$Y9c5@1g43zL5B0(cbWJxz;j)pJ
zOrPMSrDeaJ@JA(vogd-u>n|jC!++d#!|ULz9ZkXX@V1=~?~uQTizz^UGi<cFKwSw-
z{=6Hpat{BGKaMjM!+#A`)Yjl<p^pQe!H!o9?@qxzWenl@u+NEA-C5Yw{k3u~d~tx{
z_jlOcbdOFt{9QQr$pp-r99@+Ro5&Xa>w(ql=4#_$zQ20KeXy<3(|}kw6Gde{!FLZc
zheyEQo=&oM!<L*$t2f{a858F|z`4pBX#(Ian%6n&VeQO@DpJpFf5p}JZ{QSPu{u)k
zO}v-sS`Dnr*dprzZ+J%i@i|;CAfw_8`zgePzJyy(Gp;$p(plj`1+ayPH;oO<_h{Sq
zLO8Tn|BV&=(ULwY2j;VURc8iEe7&Wf4_AhIA0^lSVF|Ce1o*E0cNKE|@8DU`ONN)5
z8`enuyG!-of5*bpT1RNf{kTiis_-7{bZq}yC3r8-36m%|$n{P=xgTtx`miMijuml{
zlY-BGeQ0?dp353kCD&V<Aj{4mczJhSnE*_oKXc9<e$XvnP3{LvOeZ-#Va|V2e)~y0
zQTe?y{M)H8m|XvUZ8`p~@aNFS%dGIFUf-tEFohi7#;tHzKu?G@oWLaJxe2!Ul+&RP
z@7`Q^l?vW9xgpXJ){1>Uw~qRSy*C<qm0+IFYJW+6!^2FRcU9qb7N-jf@c6>Fq5t5`
z>C=~|;F$^0Bq^9P7M0524EDM418{|1_B^SlcrrjHgCC}?uPGRSkHqfO+z0>C(<%N8
zN4cG%;DOgiV-9_SFWzL<XNFB)>=FM6`*#`8v%*`)Ri_$=zX&{Kgsbh_f7if58McmF
z;p;n2^Hjn%X+JHOZ1DbWvx3F&+DERPf8icJi}Yu(a!viYA8=ITTwXr>#A<2JPuNe=
zi8CAKPfI@k1uob}$(IT{6};o=hYgS2OiCniDO>lCFy$qltXNpJ=!QTmtfEo8D;ie6
z$?a1G`&Jw8y9uj#Dju$eWwjULg5U?S-PfMMe>TTI@Plv8PD>ZTYUPtBec`h{r2~)P
zK;dX>518h7<NYV_dBbsbQV*2nK&(PGEa)4-;{>~3N?*=}3t1=n?cve{`_weJbWCj4
z40g-&+D7t6qwnRL!a^*vr77^Kkt^?%;JQAE;fJu6$b`QlEEoJcjKm9l`EMVF|6c1~
z$$&N6A83iff1Hyt5@8z|c|(5KI4kTF$&a8bW#oe&45(1V!3O(JvhIZ|qlGKtVOqzo
z);+Kh+qiW!>?`5b!wO3)ecXKqo{|U&{Du0lA0k#lHp5%obZ<?<{EwUDx4?3Naup-+
z^NTHq7tdlmFmcm6QopufDPeLM4jnxw(*tYOPD+o%M^q)1+Tp0zPv<7!E6T|wA7PfB
zRry}{@5IG7q+V_gR%Z0Ul*z*q)$qP-YSkv#=vIY%1<c@Iwb~4`>-hdDg<t1eXMKQ=
zO`o864kxUzTGqqLieJ16;B^ht{8CuuP|5XdSeAj-rUGsd)>%x4A7>~%&4+WX1lAK_
ztxrE43SegKm9qQr&BU8q9>Sd>U#er^1FFJxIq>YK5a~#`=)LuhcsOCB<FQcq&EUr7
z1bF`B-jV>=^RXy<7##MI23zOh{vp-aaSK)*`tIuu564^i2Ek2qEhzhd-~Z&r!=bR@
zhU7oa@Ok|`*FE7@*H8*O*z<jXv^RXm(7n<Ij$l(5aD_Krw)|iLr_naXyTf&@x&fpf
zv|7Hoyc2vZTPB>;i$1^Y+oChP<Rz?1>P_cRTueC!du?FXBlW1ezx^_{hf6)Syd(9i
zW6BsZO<*OJ^(Imu+l1lfDKofkbnOPIkKHq~jlux7a-6v>0Y51VFE@nw{r=F1!JB*%
zX_etN^{Fj~V80iPZ&cxf$F?8ihR>;`yby#3e{9m?fH(f2cNT$1Ryy~S`s8E0Old!@
z(f)DzCO`>?(YT(Rfy=Qtg49QMOaG?b1#4*9+x><wOdO@^f%nK)_szl$nj!{u@cXvz
z(I4<#%3%6NxcCJ_`gb@?Xr-_kzWsM^{vffHw!?e)d}PetKA1L7;$;zR$MJ~26aK1m
z-K7N9`Zzw)4m+QpXD)<8wopzt!q;xfG(Cg;9$MXd13PSY+I$nP^p%OMg%5G@8->8P
zJp(n~!+{$2|N6oDpG*{*VD$kbC103L^~Xz+zga^(+7b4@U;Mb4yxwiP%MMmZz28sb
z-TxhF(1n9eSagzj!Scd3ZI~7nh8p0V6RoF@z&plYD7C?Qis9K(aA#h|B@*w^Z%^Qa
z=bjm#C-D!*ZVj=+-vUiqYT)1Rw$%Nw!vC}2@_UjW<Jh?6JG^N_!O;)!HTqPGF4*PT
zR<$Zv#b}772lkAU@Gga;N?GaNz`k=20!V#*e&-W!s$tc!i_4GU4JX(cpTqLuUpHpM
zHJ1(E7r{Z3+Lf8`_K_FoAH$VOWgn7ZoxoA<LU_47P3}JY#vuFR16ag;n|cf^Y~6k^
z9o~~3P7w_o)rhv-htuX)Hj(`TlypwsNP-{U_o)qmRaT3HV&Pxar+Uf$2A_kLQb_(=
z_rW-_zrocj1}e8<x?^v0?cs>!prSZ9eMS46EsS!e=8>@P!wMI&KSr&{^mdZZ-KEWM
z0aI0CAr@><c<87e9LsIVPx7lL-Y#jw5le+F!SLSQVjETA!?wjYNPc2t(<>#I<0h@}
zHQ4#d(GRk)jw}6G0L)@_?mZja^5uLM6)d#tPxE&8P=mPzE!@`Wt;Phu7Z}c6JcIUP
z*H(R6IQv$U)gM@ny=xOSyuE~pb`EB2xv*mm`<>jsJ^y+hUJ8?LTY*_N{bxG~o6NQK
zF2Ki5v+S9M*Y>5|`vte~8P<%#9hcklMqpiKT5*y;_$<fv8{BHB-17}?ebnv!2^P2e
zt}zZP&As@q9WJTdJ2L>AJ=2zNgna{kW|RCtXTiU9Fvme2-Cp?E;5$mPUrV^{B-K}V
zd4J56N?0k^#Gnag84wI1`@a~O?xJsj_q0&2K7-4~{Ec732_0E9k6<@iS;n_;)w6rm
zx$t*Q=NF~$f}><pI&3<^eZB(r_{F1=0ymxxEXjwr&e!VRgQuPTb1i_+ro5xS3(sU&
z?|2AT8#pjW!XFQA`IrOyxI5n>`_;Hc*|NpMI<CxdWIr3aP{y_dIDd4v!8Q2N3rVjS
zSp8nLxi?JB+bet*77uJ@y$lbgZ|uAUr;T0S>k4m(OpAzunKf?ok^OgA%sw0rg{$Jb
zXHLTpvzF3H{(rt_k`3V!m$X4^_;BgAY#mtfiSYe%uxwQRJ!N>U<e{iCyhGkL?I`SL
zE;z0VkFi$oBKsHp?6v++0yfxkeZLrNF!OCv3O;`KM<Ut(Xyg^MG#{+jnV&`WSCUqa
zp5ccrY4+{e2hUqp$g;un(W3`;!%`+<^X%{+XNOd>pA+xvlM0()0R_=Kvfq>4!TLo;
zSc}=qb~9|&-J47e`z0v2Qp152YDRSMz_)M#O1P`c<nQ`vd>?y^B>rJPs?nXVpHU#L
zmi+tMEX+c^KJyvzMPII-CHO*fvUC@G-Lu(X9uAW!3Vsi}Xw9krg+1=-f2@XoQ)*I?
z{jF+^EIi8LDjWO1Yp{*XVnqpTdVHq`$&YMdq|1RXKNNP{h|lvzHCsOm4(kr(T}S*r
z`}4&l_;zUmJJ}yAgk3`+0nU}2>n5MySKny#Hk^{N{*eLZ>HRJg1y?wmgww&27Zy4~
z;7l8<>s#Q|fDn!#xWT9RC?ni@=}xsTyp~*bkR7HLdu-?lmpg4A-35!?D*xjQfBeSO
zb^xw8T^DW-A96Sy$pa5_eHJ|fw`(c8%D|E}#tf#g$9#l<6ntdf{;3}PN!*N){Qtx&
z)Q73T9qY;Uny^p*R}p#G%_*cxAGUs?>n#gs2G(8CgDoGQ<rIgVBctps;Lk%cg+j2m
zWiz)q+^(i?%nLUs%B+z6pxAzVzPuae`+Kp3>?ig0-7k*q@Ya!Q!Q}c=<+&S51*gkD
zRwUQod;jNx|15Do50nwifQz>%S1!Wlac9R<VcE8`Hq)?lJ9mFJ{A?uq(IjjjrjwWj
zYf;x448y1X(A_5YhtdqX#6kFLmZ(l1?699-@iWY}Jbvsc+@|SpvlEW2lP)LuS5D`B
zdIx{nK2i7_ZrS;rqZ&4qJ9_X5{QW+k<1@I#e{9c7n196P*%MfeQuZD>UT$0FY6|>O
zw*OWM-2J3qH3>eyTY~BZTu#S%CmcSY)%J(%XZ6L)wD$(QG-D=A;uD!gO&8#Afj_y+
z;nBxaEY5I2mv%CFzskr%)~DbptL~UraPGmgcx(>s>6{*Ua(~>gH2+-~9(OkRuN01u
z6%rMMA5{1bJ%%s5cyWOOrs-w)`4IM3_dGxi-=Horz7Nws{mal{f$!UOr#AV%xwRDx
zTj4Rvr!|Q%WrRa&73^(GUq<e)RArC8zk<sRv&6{#b-Uds@yGD4g2e;me5~-W`sKl!
zf5)bh;|a;j*WHIz)dud8^G6x&zx5vc^MJ4c$={oOr#KRxp!8HD=Yt`jbuAp;Dpo^5
z&fm_Zk*q+tD}j2s5azVlJ9P~XcFDL%@?|VFWn5w9=C8Ko{0SQc1vtYkmjw5d^CL45
z&vy>Cv9{Ss&X1N=i>oz!+2~nE5v-y$vcn7>Z5pntfW3^_PMg3Xo5e!N`Lcc>Or-~R
zY(3*k_8%(|x7N{yDN-IuzJ?>eT>hm5|0mQb@E)dF$v&b8FH-LtC%<<eHdYQw!A$$r
zzShHzk0uUE!1n4f3AHfmwv8=<u=C8bsAhOTMR4aK*uwgsRug=gUb%7~JU@O|q8Bcq
zjnU<RKQjByb;H}m^X8f1%wL&bMqvl7$si_Jc*dG*9Jboh_LUWWmwuUL27c8w$;$$t
z+Aec)4*ogOa*Z6Xe$`rO9j2UH-m(*ByDSj85$%gGonA*Sc=CzD6|x_i(yj4lBwss;
zv5EoyD^a(J7iNl;$Rqok)gAhrMDhi1Fih<x=6Ly=4;EF_dn*Z_rp(!~2M%1laP>cU
zUbMM_d>-l?Z+Fr@@?Nf{+)iHq?7pxJyc9f<M-OL>rErt|&g#4R=4jvyxyk`KSgM-p
z{@N*w->p}EQi07LEDWr`lNo)tN&D;BI7jF_Y&iQlL=)yc&d@vyZys7arVcwUAHFmW
zdzMd2lJ=d*k3FwOVW#Cx^Q3)eHm7#>D}2>*{rd^n*I6XL7hd_!o}~}p?l`I64!id-
zB$&cfJ@WTk;GU-kjE!N6R0sK5*g|-l7HLm*3hRWvg9}dx(wM{LhL;6j!D<%USFGSk
z7t>2+@QsgxC8Rz2d@f-3Gx*}J=`?3pw^BC$5iF=oZRrG$<=E?I!rq>(U6pY8gS>)3
zxGuioP6ceQFl6Wpv(oAM)x%P5a>JKk=@DgV(*LORz8vNZ_dP1xNBT!E-hJ3*5BDD{
z_)7Xm%;FoXPQyc1thJ<nrIetmX9l-Dr3vbXy)OhT=))R)FTF-#M;ET6dhjKmhvLI<
zK>Dd~s_@!c>b7P0(|hhRIe4Zz?Bj2^)Zy$I30P^oshIQ+m-Ylri@^Wm=)U8zdfzyJ
zC)qQJC_AH4vJwfIkuAHFEk#x&k_wrn>};Y)NwP;qGK;dZ`W7XMLa2~_pZoXc`*mIC
zJdZl(e$GA4eI0cw^`d}FMVsSA;VQ#xhNOO#ywJ(BeDKpHJ4SZ6D>ZX7C)|I8>#G>d
zr^PeH4FAWpm?r{9?X$Z{4IliE^P(zjVj)$uYK8uq@>gk6|0%xwlJQS?@1rxDNqwe$
zI%Q(t-~^ciuZ&>>&JEq;u;8ZjLTA{*nm2D4UVdut<OrWkI(zIbEb*yCjf@X$igpv|
zfTOCt{*n4dKMvHjHp2dT4@RS5r_r4BD%kg!eR3qMxV)%V0&m3=O(y(Ix1Os2?s1fr
zOouP@vo&PF=1tKXtKgMe3!@1z?Pd9TQorcgEuHHz@V+>{)K2)|n;wf$c<jPUvv&Ba
z@}7TzFpH6q@*pgI>Ozbk{P_Fg3aMw*A@fH1JS^&3JU9(28115ShJQ-v#eE_1gd4>+
zu=AhlfF*cr{^?;$SnZOj+)vmno$Zq$9GP0qM}hID&0D3sj=|Rl^+wha_Y#fUrUvI4
z<}@=RK2e>Ye;97pI&g&^-YY|=CkuCM3v%8DJ5I2UNWfy9%tB;5>u$5pRZ)1$qBg@$
zxbUV2iy&NPJNQxn?&$9?<AUSHsfs1w`q~yXb~u6|)^#u3>MH(~0S=X&T|Wz-NKkS4
zX^H*>r(N|Kn0um_`5RnsXBZg@#{|#q`T!e`)M}9N#cLY&J%eyq)$Y&LaIUcibrZbM
z_jVT<ANAJlIMo3UHHA>Ug~iV{Nt3vT?*Sb${<<|+Er!I8%ls!i4G*bv*^)R*@Lkt$
z@ayWtY7#HiEPbbh@#Es9eA+_z3hz*yBJ4aaTbvCy8_d~}`9STS?zTi&=Q$Iv8Jr+v
zcm5{aI2%so0RPqBu@(+L<;rcag->!n$q9zXGdDjV^R4SfHWC5w(Qq+)H~3=6&weks
z#(CI`%s&~pY3}fVhcf0id%=n8BTde*5JLu)Km5f@oX!zmk1cKRg*VtY6`z22MxJ;^
z=A%08SeGqfP4@8JB!9cPqMA0$PrI8p7|#D19-#?m&6~#uz&YB_24rD{4+}T0!E+w}
zc1XiA?DT3R|I+S+=G}1ft*irNzC&khj7|&=WviGEfisr8pYXv{+qFMO!9S#{mv_K-
zW^A$|V7iBf>FjXMfr~ei;9re>yIA035zbvHu#tk|bxxS>$Is_ku;a#y?IgeI*_TbZ
z@M_zbAP=0;>GPY+kFhXrJ;M!C@;YC83`<3iZr=k7UHo;S3|>3JY)8Idir4bLD)<h=
z8+Lj42TSD726&UqU#kP~ou>(xTVP798YV56J5JoQ3*J8d(L^1le6POR17B21r8b4D
zDE|9C2uteL>Kem?k#o{yzN_meN4^!Dekw}zBkU6>J!1|ZlCLWH3}2}Kl;Hvk8=2?L
zz$I0ypUD5;qipZ5-(im9#!BvRnk(D;C0Mb;A>=G9(QE3m0yoVw$pyml|NXM2z<LLt
zVeZTRaPXYgBv}u!@7QyRNH|k@c8C#n%zt^|2K@Aow!>yv`?Ql-GW<De!F(IMw%5fy
z0p95qCrZ|1$UQT-^cW5uI<j2^{`*a*;UPS8zb0=tO!4_YuUgpB*e!+B=Q((*zp@Ix
zmR|f`8m6J*Wh3{~z;D~P3NZ6-7K`Vwu=)H6WmtwbjlKsCSjsmf>q&AlZy3IUxBpcg
z(SaLYvQWN<&%a-NZ3IX5EFB$z4Kxkd$$AxwF}a)x*gT?P)fR3#^J_23f4R(k!~xz>
zd*H?--1#m-%nMFbpJe+8cOCoY<^y|<3Z9#Wi@VHCufcy#H~k{#Q_^U-8v>gstr^b1
zjT*i;qu>p7Er}$*O>&|)2G*PU`(qxann-CS>vQTpHp%{gZ>TabCBds!e{TLFap8-L
z_u%Z8zT6A&_Q*N;`>=Lsq4x@GQj@>;F&zBMu8QP;jT7=F>xI~`Px1z|j~y3=oydA3
z`uU?4e-Z!GXkA3=4P8FwUqXfWMXL5VvK~n?qfe3Ki<=t_wZrR&Hzv};gOxO|df@Wh
zf)SF>5fsnX3)|oBmtls@V~<e}!|yyVULx(WK>O&iQP}!XPVW|YDJouh0*<6T!nGMT
zJh(fQte2X)ea4Hl?_Xy1POrdz>Edc6J}Wt!w+4sW8>Nx>7B;gOvYu;Cf~zQL|0}K6
z-jelR-dWMXJK&(GCoi|aSxam$Nq)^yYeo*ZR9~8p{GKd{v2NgjlX%M<_~2KT&o%g9
z_m<u|^84fW)kj_g-pFc1DGblv6uTk@r)_dSu@?@Ih;upsd$XPRLh_S`^okC`Qo6n>
z`(dByjaka@1(q+NBtM1v`W~`At<i_`pb|W2afpx9Phu^+cKHxI)w#h@4^HY&9w5J;
zvN;Od{a~*9UB1%rp=QT^ANXu>Ezce}bYFEXSs(YN)8+yBewIw*zGQt|>mfq}9(du^
zE}NV1u<zs$C!FJ|zbzW}(;o_Ef#ZTB{-wY=59}G}Veyf|Dzg4A?2GwR3b=$q?NJ82
zYdrbaI<60%B75gF*d{n8V;R=mAE8gy_wj6|*+s6`lH`0^vc7MT<8SvAtn2msM;V;{
z($$Jw|4qq51*I^jj2#8J-v(Mg$2P(>8(&2A!}djMI?v&O!CEPDzy967CQ0fyg|x8M
zwZcz&S!Oz5wT(;;<bF?=jQsBn{Ntr`0ckHZcc!Ow!`XKG44=W3%v)l}dPVnA<Af5}
z!bn)F4`zF;r&s_Rw<Ri!!2cr8U(JUPb=N#5`L6Mf-K4!@JR*`a21`(fvB#0)spL<P
z{3Z6QHKhG><EK=chL6TqX@tTIxom$Y;X?ZI8Pa}EZ|RvJ>ofHV#(n+Z{AVq@e!<ZK
zpSrKWn|wzo8L{58sGBa6#Qh%)Ycs?2AvC{9yl6p@b2r@Iy@~MxeBSuzNpU!;;;+MH
z_^#ehH3gW@_Vaggd}hb^UpaUz@_WL0c#G$&L0x#^?^B2W|DJEJxUB>4NUmo%h4}Zs
z>K85G&EYo^$nSTF(;g`^cq$@Z(FlIv@|EE%JT$qRf&8B5t#`Dzz=D<vPgUUE?T3nd
z;o)1K4jqF3@NhZ#z^~6NjZ49@N|$x7!JZ9q=k~&%jLfNn;cXl9w+O?p|6czS2FI^@
zSO~&HwkJzNV9~Ve|G415yP^3}FpZ$DIww4%Z*w{V4iz}{jTzQszh)8(cSsBGXM|h-
zNw<>x2F+tZs}}gZYA~$61518qY5onLWu@9j>S3v!mEAlAM|E)vB)}v0f17@W-^eZv
zll)U241Y)AmLTfaDX^n_*O6iPPjAf;l5hTg{#HBey6vS*8XTio()SX!-jw~F<p16F
zBA_1rxL#CU2EQ1}xmgOE+_>UX3R_E5$v%YL7~S;R;607?l(}$!lROPs?=5j-u<$Ot
zroMNDtOvK`3Hp%)&ma3!+5sO@O-j54>xcKJ{C_<;!zf=Qd{;liWB~Eeq~(`a;X&FP
znq%<mj(CPEa221yh7nkyy!fdvY}U1PatfZSoH*nO=j04$PQnz78zx*}nuN+bWc~ZA
zkpxjEc)2D}m#lw(9`p3|N%-_3Gvx)C`>VzlYk2V~*PkEo)QVlTG3@mG`?qCyaN_5>
z0i1KAB#*4GzhbgEUkm0JxR$&MQ?_S*RflO6)Q$hZ;YoG372%ZAtQs4zem^@!dq5uE
z-|=SsFX9xf&X*<Ofy*iLn-DKGop0O+%k=GVB>8eL_OkNA@2`)U)4=*uWyiO}2bJwR
zH^Mm$^EveJ($^jJq}~?)rHfx^U_FLBNm74IxwcgHmpSG`OU-vO!n_RfmlokG2gj4h
z`KT(q+a}=f(U?ePSU2?-<43sXw23;&=UQcd_6|<{n7NA^?mx|bxEIb7wwvID<;A2w
zb--?av)f4htF6T%ZY{6|h3z#`|BCUwCVL%xGh)?;)W72PsI{nu)7URfk^HicYxxDR
zN($46I4no!`7IxQe{*aHc|T&HDZ$GG?hZF);ekh5SSt+SEnc+mN&U26XM2Az!R3^$
zJ*0lxi-RUI4Df%}lNGeE@$&~g(`I<yX**O%-mh4d+O_oy+`eN2FR4G)!C-7Z0H=iM
zvy%E_|FOTh-wSiPuO23GQ-8+vYFJoZWj~2W@kf2EfFCyte<kO0%gzWdhA)Xajgs%{
z(9iv<2yQNrG$i?Vz8=}024~ZsRpo+zm)4$2f$f-#)=0kU(H`pCFw<J-ck=gnWE?$q
z6YdHzwj=q@!{<{j!<inz$N6FUmy=_c;H+gQW>SBw!fhqQ3)b<7-9Y|5`6k`l&%?L>
zo%A93y+;!{Pr-q{!A_!Zl^NZM6L8BFXMU33xS5CYI2<1m%0~YEJ&IzqjNljV&vxyC
z1z%==KMG&=46WY}=ghK5Yr^{qjHO8aNtuJ#rv>vz@{T*DVVn7TEmCk7hwgilZ^v78
zZZ|wEW7Q)E%eV-Yh{A^UDv`4A$DeW*eDLIuk-HjvT6oh(F1Wo-M(haeu#G!>Gt4x8
zVD1Dg*AtyW4f}a)F0_K@59O<@o8ta|Uab`c%kOx?`wgbtxeyZrhkM`h`w4Hnlx<o7
zr+;z@pMv`-KBtoRhrYS1eVl`*ywW@yVD^FfM<l)~Z?vZ#-r)4*_y>4{F&j%4eA{UE
z*f5;=(9V>+-^BmqpX>x2{ps)S30QGZbK?lSIF$G41N`TXPr+MQ!?QD;67OH}J}mtE
z0-o@7F(>b1<xY*>tA$14WVC6?`&kC>r>fvy!Sl5wfA@P;xdM1eQRXqJ*X1~(8jufH
zzoC#_#`!&7{IIr$FZ_Na@)w?qU&^$AX(n8l7U34w`-*b#-7mENNWHN9@JGQi@JdTn
z<!|_(=8&j3{K>+!@E=T}J9c&#T#W8GIp2Z{-4+3Ou^`QK6F#43mEN2e{t@%HjpS1u
zwa;UMgC50HQzOpqVLwd|Ke1KvA^Egfw_-QKc`O}{46uf2Oy9rb=)Z2g#775rPgDi`
zf*%=CY-WXJMarHp!krJEbTGkYTgIJc;0$l+T6Xx`_;BGgd|=1;1vWT+AFc66_{i+2
z1wWj9ZhmM4HZ>1t<Av|>@n7wQ@0{GQNf_q1$=cEb@8x<}CkPj2DxYhE*96_KE5Y&w
z;{kQBVleArML1J>t56yIb=`lT8vIXt+36{qE;;O@0S}ZnJ+FojvTxD0f~!~bqDWlz
zUEnS9J|s&n$0ri!nPV~~^~Z|1G=CPumi^aL$@`ZDi*&k`@D(}DAo6}@L{(%jIi82N
z`9&oB^xZM>8aRUM`hD`gCr?IgDfvF(6g1!O!Y&j6jP)>I;)|XKuyyN5968_RD+Zk8
zebSfiNiz-b&PVhsmGBYSDQ|MVPf2Miq#oIG{_L)1IKakKh}08n{_@d;obRsA_cNWa
z0cUd2OPI0np6(F*@qL?gBOH~a9ybDe7zakT!xB{n&U3K0hL|~tkIMadv;Ye(4i=O6
z3Hlk+9e5u$KC4r`3clQ)pT-Mkp7%*7`2+lFSH$5uC*z&9u-3;-FZaPk{=WlXz?AZm
zQ95u^Kv*O>{(-!s`cc?2`V%S#<9V5(K-K^@u~oV77-q2<{jLj_^<?bGhlT35e=vcS
zq<^2vg*oi?Q;gt46y`Lk@Ri3^?;gVZnI)cnaQ5*Be2?ME6B->?U^S~(tYvWB26v{*
z@T6yhc?G;kzriUKzOYQE&;pBftIv@9T`Zffw!)M=ed^&b(@in2*YLi>b2mu7#x~Ka
z9yoXK@`o6>R$aGn5WeA^AQS~(Rxy|#g6~)f1jfNP*iw2){i{pN>Kkvu)-2c$0p^f@
zWt9j|K5J!|hq;X2rIY+)LIcJ>Va>Kv%jECV_f-+0#ryK9o6kHaas3MxZuGE1^9*Mi
z%*L2%unjKr|1X`KPlT~LksI!IKfRm*f8R24gVeL)4mXh}`H7+HuZ7^!_P4k1!7U2>
z4ZGoDo5sFun1=T#&0e^5Mrm&$d^gzjw={hIub9Vu*sniP`2bA)?p_<YAI^NP+J6`}
zbBJVk1W!Kv>PPBfIYe!8AlJLp8Rj#Z@QJw3`Q-jE&Q^Ou>S2vj+x#Q<*AjzEwgG%C
zQbCnm|5at#Q$}!rPRU(z{d-e>?KlNDzdFfJuKyE{ceB~STi(36NUr~*cRUtJeJn9k
z_jPjrn<!NtBK5HvQvWj}*S}fiDi5iTmCJu_l$<ZbQOA+g$GTQHEJLpEocCwVNPVoO
z!n=MXKlpEbI;oE(dzGf=HT*{C<IOv;&fg}sF4+Fr!GU;qns49PK6vtmb!#e|%K7=x
z8~C~VR<kUa{aA&~IQ%~7kk)-zq0A-wKe(M~<G@4socICbIXKvAPwP{7opwBa7EZps
zZc6H7eQYk&ScgAz@6jUlvHIAI!dKzIy30H*@Ml)v+w5qcyV;&FcfpkHTl+APpdy%%
zR5Ju$zN0m%2LE&zEF$}7FeZ<Q9f249PArbY_eSKdYQt|9(>_nbPfxTrYr@U`B74dH
z95FKjI}G50TxZ^&@Q&%nHo9=^-6cn|--lcaRmE{Qz*Ekg><6NH_~suY*nGG>V;xR$
zoG`M2pZ?Rm%830$oZoyIAo-N8lWolK6Ga7ylW_i{duc+je17gSiBCMx`XmhRI)=9h
z;XVI__KU;Q&33oR`6SZ@93<hm)zu?s;kV4&%nriAlTINna86H4x&nOIzhu+{7M-KH
zbp*cqA19wX?4jV!s|gP*Jm?OBH4{r&^k9olI<`P~GD0NN2yPNcY>I~I1<%J?z$ebl
zZ;FH)CodG+!fH!@9UsC%!!NU3h%=2IJb<}eL@$#4XSlwxmNdf3qCsbT;nu$=f7Zi0
z%nV8{!b<k3$68^Aru-bTpUtuPi5T*H!DAozmF#!Zo5MHR1$PGYjgb9tl#1-dI$(}l
zkI~NH`xm4KljoC=<1}0Ez-jx&nz~^F)tC1YVPj4`Z}R-JpeC4@4%0E;C>w)2M`ne|
z{ydN57aYIC8C-gt1+Zz3$OH2H^;wKc?kP;$KS#?%p6?pZiIM$*8q#=<(Ze_7Ei3Eb
z*4)5VZn%W`MZpW$dMx+wHn?qnojlopXpiXntQZ{Tk+g&C7gn}W$x8^HT1<5y^|0Qu
zyL9Y<zjxD`eSi-&TxHw^SHIkxF%BQ&Ep(8CE%dM4BKs#Tt3S`*2j8rS9wha#mcM^q
zKLFQ%TWMQ>$77dOWMI2i#?53urq^NHQxsvo2LT(&eocRJMMvb}1IxE{)=B)cj<hP=
zw)gyAvftCGRI>__-*Y+o0@<G`jn9uo15WE(aU%OotyTCMk$j${9mQn-sO{ki1v;?f
z-KZ?Gzf@If>^Cjgw!37CA1<qSq-F^7T@e@-g`+g@h3dh{BD#XRVaLbM$4ud_YqeV>
zVV}wpJ`?z5+Ba)ySm<1*pEc~1cS27AcAc-RvVbQgV-pnN`MI9Ww(wM?=S5O)>%MPh
z0?BvODr(S$y(^#1+QSVkJD!@rA1V_hNdC*0)+?s)WzB*cXW*duu5YB?7H?B%yAzD!
zQh~OxTE_!_KUh<+!_5W0R&k}q2i}!<GU6)iY(y2(1COZ9TndNBEMK*}f-_I)HIw}b
z6EF1fkp5Y6)#$U^u<)OxQ>1^!dsOvr9EqP!uNZ+Jg#CL~4zGvHZg>qp-W_x98C+!~
z`=AAuKOSd5>Rah@+}hIsr`Ph(G{8ApvAv`}x5+K_H`%}O>B_;aW$=+*!cShn6j2Iw
zq(3+Bl#$&Ddv|?UFM!XuK4oo%wKsgyC;hn%`8zkhhP#KtV-w+e&O@H<u%K_$hfr9@
zDBq6M&#L{hPw+bYuv?Ow<X=|a-$D9wiHXS!{qPOtHw+hHp$a7_62E5OM@jl`O*5%N
zB(6?%L4)+)^b4x)kn^n#Ur0CxGmNo>48pzaTL(#hZHQ+7&$sZ3@mA4;aI^fCPo!Sg
z*PW#<q`$UjQI??>&dVq{y#uC62v{R=JvM_J(*LTnyLXm+UT3H70xdjEF>zuPjvAbj
zCjGCW!^~ae^X&e7zP^O}-DX6i?meuM9^A43M}~Tf55s3fFK-=({RQsve1uQibC~}J
zznAZeCg&SAWxM|xR_*(Hc>-S8RXEiNf3(^^OU_pjl6SBM?)Yi^{xdu?cj!_joHKPp
zkDTvk>4A>>Fi&u<(iD8OvXdbX=1@^uCizE&+Dp@5BS+IOGq7m6^->CK;}K;>@`W<Z
zG$LTt_*AVQuvo{JurN51sjvJiY_WZO-~uePf9(D|eEq%WHgDMassAaGpU8T?!4+<|
z3o=}W4eiz_$nVFAg^K4S|HRO;kvW{0UH0TRe54s=3SpPbc|Nk=sBcc-1o?dp(wkx>
z`;mt1q!A{+um5g`wUPYWJeyt}gx6kOtojGb?u%wV0N-@t@cavNghiC^h5h$$vfG6H
zO^t<Fe(#3g%qYJh`9HtV9p#40%S4)}5x3>L8Nmr(8G7MQ^0_0UBw1kF{r6oNU=c$m
zZ$?;>^3xE>_d7`2Or96`EuVKV!4-+&oBqIiXl<^M{G;q)MdbNIU`EE9?8mx~V$*l>
z{1MdeHBR#RSpFRzgHtM1d)Z;7_<$?J@a)3JNRpqn(_i#0%<J$dfD1l#@TW^Ryv1SW
zE6M+I_IoAij|BBS8QD(E>AXUo--PZO#*uu68i$-xxFnf1gdeV08lHFp8x$M<B>6A&
z2c)y${g3EA3Btt!$1bG9;_C&eBtK#BC{F@>DAFcc6qb^&vAF}^uE<;^`DGR5kFUbC
zYI-xf;J6aexgfayeXKR9KSz-)sNxP6o{`ff_2-0l-?@4guJgWJL(X^MV)Pp;SbTj)
z5!t`?ea;G-1*~?1v6sXrrRV6C;pl5Q%_J_i!A4gR{$rW?mBcR>8LA7xvM)tPNc=W;
zeJDTt;oGi_Vz9{gqsug~SbNa|i8C#5Ki@=-SFGeB@%}!Vif<;k-l8PwNj<!%FrVL3
z@cF(w{<~qLP^Y8s;5tDnS4raTHxd0X-LT6L`Fr|gn}=S&s$zZZ(lFn)z1y4MyV_w_
zN&bUA;pQs%w8*UILAXjIW>W>cAuVGUskit2bXd`2nB$$_2-*LaI^o36EO^M7H_i;E
zleJ1shL4xlsQbfG>F+<{MG=)NC(YM<Vdka}s6&hP{p8nCvVXDapd;gDxaZZi_-nAG
z!<lD3Fz2_IArbJEhWksNaCxzf;tg1{=wbR9`0>us9i-k}9SuLf18h_5(RT-~u@-K#
zhC7)!^X|g~)3s41uxwA>2~z(qyZD9lG59OTz-&KE*HgMG2TvcgJn#+{Z@p)t0(<v-
zS^fzp)sC9W!r9Dz%FD3rcw6ydxN4-Ig#r6v-#yUjMdG#h-7T2l`1sNe5_jLD*nSKi
zIlaUt3`Y;oZq|o4)%CjWg_&8ljoZOXsm6Or+_B6i<uv^2gkS#-IMmB2!Ws5<(&XTV
zjTZc(&Ec(zipBpKWBhX4wKPMx?YpD<IJ|aIf<YI)wDn&78+hY8#qAofi$dGwKG<~Y
zjwkYPK(+D9LU`Z@MV1O&(IQRr04}a>XI3QncU;Vq;H`-d)>Ywi2aYDk!-YLwZc4C)
zYv9y%m=Z5Tk@N4nZ?)?xeB7L~i=59$^`^fETqHA9qXjQ=o~?F+5B2DKll;u@A$E>%
zmg07M@_qeGPUYIce0#5Q>%i6F{>QA~L@{l8Be*@#DB2u$P2B2F@~{309o2-_?+mz@
zz>Z-jc+_E2*2DZHzxS1I%ORLP?GFp77q~F3LoE+mx}Rz_g;#DlKHd*YL~vG|fXxoc
z{n!f!JPCBSf`2F*CkYc<?YFUoqb>=&6NFz5#BV(XSB)tKbHnp2>Qqi}%6+;<PWbT0
z`?dD)$uq)dSm4wG<04l$sOd)mBRtz(X72*`k24r=g0G04FgXt^cJ|((fJbub>D^#K
zojHX+Mi^g<IKAQx_coRVEW<2TO(mZ2vCOwZ-{EaNr?M}?I{66>-{4zI4Hmwz!T3|g
z33z11^5|ta<)XLV2iWmK^}kE-{w=qc2I1dy20yOCZ3hhw^ux(RkMpm<vyyJ_yI|kH
zN{M0c(4-h&2fSY}LoWo5P||8`girPFIvfReT-!kV9F{f+Ukr!o<oTYI!xgt#KHY-T
z7zgG`;fJT)Qe$9efu-b!aD>!cWISvdQZV!Y&N9<ey#p8gYP*^R4_9<broca^FEypZ
z`@1I1N!-BZU3Ca-lWna<;u1e2R<FWy4rOuV`?%4|&lteMR9x3dey+`|xE}l`@!LH4
zd^O*lmla_SwwR4K;BjVmMP>LClgS72?={5MGs**Zj;_s-f6ssPY-#*(LiagNQeR;G
zoKZXtiJR9@`@vUlv-NL+o0gwlAoU1hZXOa|G{p1Q)inoyc<tD#<2+n)>vyjY+*2%6
z{sCs&A>T~u8|<YXUmk<wat~*d<9~nOmsAUT>(M+t3*)^Hv*)nm8kYcR4@}-f=Rbx^
z-%m=C_Tpaa3&#?;Ea}2Dsb}zg<}FhJ{B@_=iWz+O6!oiz@DBZf5>n5=poi^3E_^ub
zUXvbd@%)HPKAe!+FR2YjM4N>qz|xHORmuJD@%@TgGHm=?eTCFBSkwvsb_<@|!pT6|
z6Qx~`3h%(XJgS-wz>;rDjU(Y_+$TSgdIe65^F1U#*M~Yy1h!sYym$lVd~&~z)F)s)
zAowd9E~l}$zyUMc31x=BvZuttSm1+=(l#W2Mr7<T6a4I;H1!oYVAo@PYWOI-a?4dX
zB|xyA0zUFXeyb<kUB3L9)F*g#Sf$S!-gl%t>^FQY`%vIna=d6%(mbqw?(iXZxP6_S
zW){}v+aGljZsVEdoP;r}t#cZF>{`)H>JtnW2`!kzJu<N$NPPlz=j|m{aP_=R@-S?_
zakHf{OzC{EpcmGV-?YsX{uakz`v(5S_xrgneCpX}&kk6xcQVKTmXq>IX@>dE)c78N
zDY%RaYhlr_Tv>T|Qs&p2GPrEbeJ?*uKR!DC7!JB_I3ox%>YS0vCixQGBXb7$|8P2?
zb{DRsynpv6{8UnfG8{hip=;;~Tr{Y`eihy^mz-P*vr*V7UV_ai<YVu`CT?ze-mq%G
zx_&zRu=Dk2XE=^YH_;mw;QG9L8m9V>*3=gcGUatX0ed!7-*beUM&vG<!Uj}c_Ac<r
zpxi8dSfy&w$^ib-(Nv-Z>$&7{8N;r$TEi;vy}!Jh<>5oy&wZ1JXF1xt55XosY1zs1
zN<)l%t03&wB`r*zXDl|4g$l#6%IDiyVIey+`$m1NZ)p*(;Dlf6KEGEF_xE$r(Zg=r
zZQ`Qgq)abvN)rF`-RKr9?!Px`ojjlSd1eQ}RRIxczu;#ge@|V7C4Lz){e*SY0*XE0
zXsIW>r2ipFN8#=bzcL89^##7~e5uY3UT>bv`T$#HuLL;4@ls}%r2j*sRVH*2HZ-ns
zCH<{?fA^1{f_-DT<4ON7?v3S;CVay8dLHR-&Mmx7(uOTAUgl_lRXG*D9E5q3rbX*v
z|DuAtL-69Svma_;0ojv!(y(dMyLr-IHqdHgH~?p>P1!wxGd1>D3&Y<uEqn^#vd&m8
zG1$uav-o}3;fP8jAFRb;rj!L=P|v<12<LMI6sN-PcdWhM42Q3OZ-|G-<IH2&;pI$z
zsaW{Z<42>Ea8E;$S_JHqLYYbpADEY23xkc)i&WS3(0{Fa#1sr0P_1vEK%DlZ;mgbL
zLDRekzY#yy-!|wA%PTB6t-@Tr+qAu4#a6}gudvW@=5wU}fW^O7sX6$Ea{W#_*iYJZ
z_zUb)bMSyQeCJj{GRfb<G5g&DZe_vRQ~2^13!(ql6WBX<iNwP@IYy5lUj8Loki^aD
zss2gBs!~%K<a{At+bhU;OuNK2&Hv!%{bDma;F0;+U=nvy{&kP+N1nMWMC||Z&$>fY
z@MPF4I})FMxAP9!@Bh#5Q}iSr8=8<y#-DsWJla0OL0>#ikp2Ga_EC5Y!L}8~S7zY8
z^sO`RVV|uB4wC)rT{3gy2H^Bd?AD`j9{U59QMj*feakQ$Whq_J3!m;DKF|eE_K8Z9
z^VJJ?{UGCSA}5~=_rT}g%TqMNU##vWll+ieiRuRUoWvfLPFR~Zqmzv9sTXpuzk<0H
zlS3-tt(}>9E%2HyP2v-nsyWiW4L0(orY(X`F2p{qfa~ina^=A{ZG1hd;iZEy>KSlN
z#4o38*h+`WED1KZ9oTsf?)MUCBjc4n8{T-w!5wvJLu5R2i1DFhBCIO;<W2+}S1K|T
z1G|Wc-@69q1+FH>!v6H?CxhXt^B0uD;l4)=?*8zPGL5xJ5?>z`^@Ht}>T<8aoAs^a
zJ>Ztg2-{G&;8FU+vv7j2?-L(bQ*HZQFZi{0(Sj#j!f4Cr4lipaAF+j<^9NUa;CAs>
z*KJ^x!%Osza8lcE&YkdTaO@5nSShczUj)|U{e9CCesUpgCkLFKnwVt__r0_l-v&#x
zcUzME#aZ*)B3R+p1^2VsaG=jMtu63lhM6&Sm{PzhaU=ZM{pOFu@UlJgaVl8K>g|I=
z@Da(2t82Pwzs_8!Ci{s8&5Kt3gDsouyroE-A@=kynB9spiR>3{%{Vba@~w)E4at7u
z!)K0OUxbqmEZJ^{D+|A=ko-L>N4IkkA2*o#4*LbiC^5iW%_Hnd{v+k7Uu1vq_v&Bi
zXW$n~k#rm3Q`A@6NdA#?(@p;{{$H%};rt}*G%h|l4_m5JeESB6FvMm4fCHOO-kE?y
zbC@Q3VbLF+;pBL_@hh2c;CGqr66APp%8I6DxWBEokQ}d}v_G&BcB|WLOpgB%*%?y}
zE3<{NkbFxSZLLb!$K+l47@WBGvqcG<A*|)|0WLoLt+NOYNt|x#hG#t@$MRtNG2`I3
zaKa#4QZCHFlq1>!dsaMskOmvPq5j+jYey^F-G%S#9gltiw{H939S5u4dZyh9zq0n+
zdmBD%v0=U*o{wi!j)Y}6Pdsjf1vMZ1z5$Pl=bKiM_#Pd4vfsDVnZIncu=cS}%|UQz
zr$%)t+&UK4?+2@eCi|7cs%M37k^R5bW&Y!R3@^~SK6QpKiCs(~`Kz~C&N;%V+iO)G
z!m{Zlmu+BfvyJPIV99ed^Oi8{o-o~XIHja$qX}$3{E{vU4*7MW)(}2aOI?x#mried
ztqreDsk+~V&7|CqXu!Uy^|cXjtqrG%61?^Bl7BRO&h{;%B3#2HDG&nZC<OA#!kyyw
z@55lLhlk!t!TWX6LxW&P$;s(GaPee^>Q(qs_xY2e@M+dVw>{wYTRi9a;a39o`ra^a
z-4`)lc-y{|C0AH)ccKC(yjENL)D6yPaad%BIXLDm9pR$?wosG($2|pEIbGmiQ<Klh
z{^MqCs`aPfnc~DZo8Z01Cj;zYaZ&fEjqs%UO+hPieCf`&lbDa)ghFoQd<sWsqd&m{
zMStr~z<#Gr77xJJPthJE$Dg0lI@1T!bx8ha37g0)Tq66AOMlv*M)KwNe3a>g(^4(e
zj>955qcvZ^YSJbf%;A;rD;t{N1Udiv`tZ+vd)R8=dfoF5M(`sFp{`1JIX#X+8#ZtC
z|4~Se*Y*x2`92933m(9~-^Zh5CEA-Zp&GIuIoE}t>7&H+A{R2@X7h|#6_}>}ZCEmV
z_Uv^%HTaA3uu39KotnL<0ACG|bO?t{)lRvS{Ca*B-Y__*;?mZG@V4WMCZ4b|&B`$n
zSG;zd={%fXvH7PQe7kIo*9Csq|Gt=<FUp8($PuRPT{M$|ZKckvnZqKn*Lp~PO?z~?
zDZJ-xf}aE&DjD=m1?E5U>Jf>*HhP$+1p7Q6Jx=1{`3r6PVdX@%*D~;P*9K;3I8*F^
z=wWzOa8*(mekyu9OBGHjYVi|=_wk4R(SZxwe%|GR1GM_Q3}GG4nh)FIt@-Vp7H~tD
z>sA_gi&FuGEy-sTx2A)6rL(Qhz&!I!w-&KpqN%|l))SU{9Mr!IA6~PW_J{4OFK#F6
zEo`nvkC6MJk6+w&433wMl!<}w>qjTF!S=KCt_d*hjQmIkyw1eXOzzJYo4)ZE!xR_)
zd-ed{b1c@W1lD7jU@Cz>T(XGBg|GWnhmrQ-Rp`p=Jb2RQ`G2JSiB-1zkO9y95lJKM
z&zrOr;cR%jsrXVm{5sO&Y$)8+{BW`lrgUr+z7G3p<;0NoZeu-%Tp%od=C?L!FSp1!
zI9-5KNBfk>=OtJ^_j89;&+c5Ugy+1oY#rga+g}os;J#T(ZyR_eM8br$ANN(5PMX4_
z;}hR6!jqf*-Sy!ehju;;fV)IiRLT0C*?Na@a(!+5;x9?o?-)D~7dZe=#~-mJ@uH<s
zZXS53v%-MHoi5+A;f7Pj4e5`-?U@l&Z1CX2rr%m{V41!)3*5qPT}syf+?JJ@qlV2r
z+Oo-h=Nd!H(wpF`FaK~Hg>An!Uj2Ct{cVxcRAj$$^_|yS=HSIGf1Z<k-7=SRQ?Mjg
zO&VE0G}AHua~%HDVQ6jvziDj0I}Fo!6lt7-lhUufAB35Fj%+vy?^`$%+6{+4O#W^U
zuUhlBcfs8hdkbt~b!J+R7jQ-Al_VFKm%6sJ5mxuvV(bKSaNM)1f-`$;Rovk9RMU)d
z*sF7K#TCw@Q_^@0YgQ{wd&22Fv*8b6Cz?08=i#4I{Svuwc{s-%U-)0-HSa7~NbG^G
z54`c&S?*+b^t{-vYw(`Cwb^%Iy1w#>D=^)z`$r?;wcy<iF|dN%Om_&pR8V#)3SQjv
z&NmRI7W(RP2j&m)t@ejcX7~uj!l46pwx00cf_s~j;NIHxd+u<h-@dMR_~W^6$DH7q
ztya~ku))WWTlR2C3Ed`gy+(Nyu(QHO(_9PW^Ga*AEtufbL0*jHdeyDCHT6~p<Ig*N
zc**t3CpC4iAI`7w(I?kym|av#Eo`|v@U%0$rZZ;x9A?u>h&>IfJNW73!xBL`IhL?z
zbrW>~T)s6f#t=U3vNz`jd^hJorZz0S)6*srZglzGtqM=G{4(~0nd`TVAA+OhWmtUR
zkF<eovalU<38gihB9gvyAN(=z%kz_P(-M!VDE!sl`k6ZXX++(btdBD}6Xl@=vrD{B
z;)3t7E<5alv&QHP$$C1f5IzA(xOBXaj~QOMS?<mc+jMP`qJix%4(}F%Ib28XZ-n*R
z&s}7L$8R!MuVOu5i&&J*R#;2npU)roqPFn}BRs_@ePaRMD0(i51wNp{vhNGbpQkeP
zSsU;BJbb<VI~?|756=X=FRo+Y8?3zfNAoajdpq<6Ilf|gkmenn+8KOh4*uqn`nVew
zIw|M&3-;^2y3hrOPfLm|!NNrvDKB7W=1*JK;I^z?V~z0Y%vcZkezU`~*Q;RZyr}vO
z_<J6n>~1ZGg(t7bkbJvw^R4-C^gR(lO2iMY%30>Z->C)0NPfG<+P}MSokep8`S+=r
z8B$Azk2BSUQo)V!8DDR~F29#gZ-H4ujl3dZHm}+3WWWB9JDgnC;KME4zsPz;&xiF{
zfiU$Z=BGPg6W%Z_ANaIUW~LBKA7~oo344s+wi1ACba|xCz?#jxN5$YH2fto$f^+g&
zDMes9r>8q?;NRRSbK)@9hrrX;@KeXjP9%T*7}H}NIN-y&i3F^0Vqjhi9@d&?-U}bU
zn~|&x?>BQ_lZIa$bR1QL-37Gwl6Vb6U5^l~UQo*|L-LPaXBU83d`kKy;r%l@HQV4+
zwT_F&;THZ?CI+}m{F$^dynLkf*+vq7a*>(bFYZOV75^T^`A(f`C+!=Z^zZRSIO7=S
zy|Zx6O9R&*@ayL*HfP|xr@WiLz_sl8@_w+}dDrBRaFBl3B58jH8Wfa=U<O9vZqojI
z$iMWm7j|RV7#R#dIjQT`31>*gJKTin+=3Td;77}De9^FKgh^^093A@ePYV2}F+i{q
zKF-?ljI=lDYKHB_aQw5tz#`ZwYbowNY;jRft`PRS)uoUL_j8qRChIT%6CG$wfxU9C
zca^~wfsb8o!_OZ5m){IqDHZ*Qg601f*fzq7ze5wR!@l`%_1ob0g&T&0;liV7bT46{
zrs3d=a6@Rrau+O3Y4YL%oPQ~zg#7*w`RzUH1}7gY$an)=Yvn$6g{9*>ExX~<TtTLG
zF!k?f%>mfLZ$9}HY<cH6MIT(B-=%C0Z;3kleHh*wcli2oSn#4$!8`aTAJ=YOxb2FA
z$1J=iWVNUUYv&8^`36hz9!xz1=k#fIG2wZ~?KShvURc5H&SqA4{ox*s1H{*o-jVt%
zr;l;5?1P!IW_ZZ+6_b;c3yI%qX-g*0cPvz+N<#2dx2*|zzFQXT_{<IS<QuD;fXmoc
z#J0f!l;2iJeVMhGscsgy&~5O`Y4{W)#}+1-nfH8-4NUcUQ}rhJqr&09b8ud$xynB+
z?4Mck=71~Q(5&@k8NTLFDny=7H%^}0y$DC`(|Yd?`&~Wx<{NzY!p_bMu%lEk`!sBI
zry|rFmfPc5^8w~^i}kt$_q*O+AA|MB1ovKqH#A<$>xXyf{^Gg<>)y(mdJDU;MDzv1
zZ&mNy>VOT{EE`Gvp5DwyZ(HGdv9AGF;m1!h{h!0KepgIy!8OdU|5d@x$C+4TVEWL;
z{1TX*F>#vI4{BlhBwhq>eZqf_Jg<jOzw6C~y^@3Wlm0@d$xp{P*jS0um-HuewSL#9
z!iIm{4Bo<a3KQyyuxaX_c+x+4>-9N31Fo-le02mq__*%_$<Jt1Y9;lQN~Qbd@4<f;
zDxEf<Kg7N5XgE23c+U=jb;Qrs=t|s#bLn3)Q6WCVE9w;me@+x@BmJi&K5?$=B%ki}
zGdg&6^QIHQaL<FdT_k^x5Od*qxIsvYgAq<C`ZRM6_C1i$L-Kj*rsEvobPb6*R@ke*
zZon44GQT8A@^z`(b{fGov=O{p;HPDGo%P}A?3s5YpK2hJSrc~A3uqzzLsNDSBQ;o?
zT1|oEw>n(Pl!E7~Iz-5N*}V$d;}USr(7ul(U)xnbLKIFGc>0R;H`8BpckP5<#%~QL
z^{r@6@O$roH+#nWkoB}W24Bm#;99v~`^b7*YK6HIn_&<6uQU>{LQB9n1AMbpyGa~&
z+j>2M65f`Qb>j$J?^$QGs)_LlyOkqk{cOBM>+c2F{$dZe9vsCd6Eq7)(~0)$!0%L*
zg+If4{EhFD^|5i~$7V<2RgK)^CrQ4RWqcppasI^Kvv6+OeXed;cT?dP7kEotdBaPX
zpRKUyGW>!!A-o>;9iMj!fXA=pOO(St{5O>&;DEye&z`^;m2dxq!K^gX)(>F4!0nSU
z@R#zyj67Jz<y2M_+%|SgBOP{X$c-lJXDfFIgx`gkH+<2Ig-5ewB<{d3XGElv;92)(
z&s(r`@R?b%zSi1saN7;ok0Nh~tgj7wWN#e;Un<_MPx4o<L=||$LGq^*GT=ZTju{V_
z^LWl8$q#Yd9p?g<dcFOS1MixC+V2Q+e`HT3>vO&3S_4nQ$KzFQkoCFBI(pBo;Bd2R
zNAlqIC0i$B*de1}FBvbYOZxo406zEZ>z4vJJZr^33l@8*S5yxVws~_Z!!`%m7aCyC
z`_>*L-o4~j-Vd){cq&KYZ>W^k2I1eaiLoTkUTZb=9*!T`(5p_4=MT>rh2OOCTvCK@
z50qc}3SXi8x_$uOPWe%03YIgY&EE$zQ~u;9<7tMPu2Xy9JJ)xN%)r{q;kSffsaLY4
zEAYPnb#`8uk>i9Lsn2)ewnNQU`1vV&OEO-!U9|o$8=SfpzU436nezS~Jxn_i^^X$c
zd)4)_UufW&&L>qAaKTNpoBuTMJgHoqN5%ukRUh`O!Bio=r${|PW{)nvMR-2y)iEYG
zu9UZW9-i4bPesNPR}ZV$PQ#L0ulkem%sU(+k^}H+ZM?KRTq>de?iK9!!iGT$*6yh}
z(FT`D8yb=E(wzL;Wj*i&r|Szc{%i0&Eu;>%f9DiL#(!r7U+*b{x9!euD}&pHWP;M*
z&WZ4ArSP^fcj0*Ws13bUBg_|TTW}NBtP#y3<K?>og*PU_Os9Db{(~=bj?qQKf*o23
zA7OgAG&^$qTE=d5Y$@7scjq?O2$+rIbmTu`zqd`d;nVecmd=<DNdNaK%>~}hx4`BI
z$M059KMk8O@qZ=r9bTdVtyXZYTw|^Wysh$$yD|Lv*7&6$SY(2FK^LYE36=?jJ%?;k
z)M20Sobe>szaTeL9#-CeFf9Q#=lG{7376QF+Z4jgmbV#p!KT`p+aAEQGC!X3!^0~N
zhil;^V@JPjus8pK_-eQ!wS|`zW;42O)(sma@=egd)nzoSuiyl|YmxudF@JZ8>nvH1
zR^$_%Fb%I56_k+mXW{+=-{;{w*_Ga8Jy*>%?Nbt`+G<?Q1Gn$GOTPeb^8ag0<^vlI
z-WYy@^$pA!m0%MEjo%~i?TmZB)L}mMOY%doaL3;#s_<9q?;m>Lz{i?t+Atna1z*E9
z5}BrCzVU@?LVFAR>cNBxnUBnOXrXV0k9ISskk6BK@&6SI(~7Bvko@)?MF(%fKa;x8
zkk1#A@fbJ<KmWXZTmv?|lgsG}kJIhFO5$GS3rt3E?4Zs$5-%+iHqeJ_4n-!D_~}_s
z4O!SZBI7!VSH|26lY#>q{g%n+Uv3EQ7l1!;g?=QT@BF8PgAdNAJ$+maetRp%ks0pf
zb5_=YO>FD(8DP=98c)gjtgVxmR@BfR+oc+A0!voR`z^uuzdk-<1n*Wq%{L40VSXS^
z)^E|j3_tx9rVwVIB=fa9pZua3hv_O-YwY1cYn8}RxH{S4f-QXW;S<R|SdGTyv<qz4
z-{bWLwpFU(a)K4F9pP?=-Bt58xxt4OPg%c&*IzT%yTUS>Jsa!c1eb*ep0GpgH?<nL
zve%Eo0d|>-*dGB?`)6~Ugl)WCeni2qc2KF2^<`nf4?las$ya484B&px>-R3ew{o9^
z9EEL9)!jV-54C<yIRdjkziD|2E_S~3QUT_Qd2XNy`yVSCA@j*9){)HG@R*Ao?Oym5
z-P29`;hl`RJR<OUP2XlI*e|X-Rsfz}m1Prz`_FF4=Y}sAFZS$&|Ay&ualozl#eD3r
zZ+zT77WnuZm-ifS3{OBf1^m?KddDYKJYPk0r?23CdATSR@dX|&H&i0)Pcu|TU)8}n
zzlu%Bde%zb>(LGHqsQkK$@<zGp&V}#Vcq5dx&gSO@!72uc<7Uq9JwDYAEt%|!#^r>
zblcznGimkfu-S}SLo=-PzV(h5e0!<9pWNTs8?1~jz++R<x5)jiekkYnIe0d0LtZH?
zFeXuP9%fn@wkd%{9eiz^;Ux<LAJTqAhyL5)3gf+(eWd;PZK3|c7XD?zVR;u$71TLG
z^4VC{*pguxh3F|8SpCy^vD>iMIPHCsFGgoIeiIJV)Yi8o@rc*IZonGujf^MY1<tyX
zQ1}J!hG!=5s;X2gY5%xhdV86{;<j|f7hu71dlp$(Y9Q=|J8b@<`;{CVcstU`9+vR`
zvY8ovHOv-x0^T{P)58jX4i}j-hx2Hk@os>_Xr59T!L+lR$2P*|2R=*dz=_xIznwmU
z-$Nf?Z8cbFa6NVgZr^mjP6?J2JNe%T>~!%^uN-Xg^KtrnSnTdaEi#`x6h=Gq3Kmdf
zJt+={v>z|*fx9xUMhU~MbiJ7susaQ3HZMF-v(2U&-V!++u@&AQSGtl6=PL$hGQ)92
z^OdPE<w3y;^8Ug^;eR@|uu|_}*Dv_&mMwG+@X!3mt8?(h`LpXf@GA<}&160~y*;^B
z4>l^G3HuCx%zRCM7><{Jnfe}n@nfk?8P4<cU?ua*<Fulj60nJ!lt?ce*>kjC5+3+B
zb@w$KBYr_h0A5;o^rRL3bN2Q}A$YQa`D_ck<#t~9c39n}FSs7IG_2F)h5aJ3ma5?A
z;UD9fU<1c94CMFt-SeNutZ;a5UkjOU7VD*4p@H9TbehkBf3<D*CHX!M?;d8sv;w<$
zsNiIA=Rq=`Y$zg`LJvn?{ct-L7HK}DvJp-iKUYWQk7ov@YsvX0chCBf`Qw<XL-zkv
z@O!~o8bh8R8g57mko@*GxufLyVPCmi+aJUWxSGAsz;eSJ>LlNzUVoo69IVIvZ5jS3
z$gX}GHp`_fAo&gZ@2#JNee9_W=iyuxS9Wt)LjEh$A{<|_{`xp9qWSgNH~70(%O~>w
zQCn(<*LQf%*e3HBoVwJ;H3`3{5-ub2!6Kda2B+ZOjm_s(;eIS%`2dS-jS3~tPkOBv
z6(?ZjR&l&Df$@rJ?}=fUGjz$6%m*vSYG#kY2eMLG_ruS6l#lkqNpy}PyWmYC%+&AT
zni!UkBCu^K)uV3se$LP`sVAKo-tGDpzGp3ej?5RY->$A~gkAHgud&10{{{KJfDet-
zD6+x2)?PfdaPpf7WAeNgEhaTm58IwsW1@pY=Y_77!{(dWgvk7Hxzc~iRq&Q=J!9l~
zH2Zk><P-RTW9CotyxJiUcCQr96B0SI2-_*zE#$zW_kRb?!Ub2iJjsJ?Z5rjj!6(E1
znWe)~G4TeU;H+as>{+mV(f*eI;J0eQcDLZ`n`uVg!H2Jk^522C`wu4!z%P7QS|i}u
zh?0lhu!PjpkZ9P6&R(Ds=A#XI8vx509+rCnS03IT8wA@(k2%-D@e?mX9N~)!b(hQG
zI}z5ZF0i4C?U_e#$hYA!P55V(_LY2CWaUh%Hmtitd?_2QNEVtt2=CXU5Fq^_kA2b(
zN^s2Sl@T((d})@E;Q*Xi_GzBXFIxxRY$N%(lH*0;a6q`z`Tg)!saH*8e%U{1LL3_p
zswi`IU%mpD&Q<m9hJQ6z$6bUwuSnhA3!mQHsP7AliO?JrhL_JgaySp0%LXio!qohg
zd~WcFn0^``d}U{ztP{zvtg{q^W!0X|*~8txZ*Jg*lUrhTn86X5wgDtxZZLO{%r~bA
z?-%5R3)3YuBw>l^wZ5G&&ynLBNPqcGdP~3#Sl|VZIO$KT$Js9nz@b*!Ur2vkB4$@Q
z7tHL>x@9x`>P`hGIlt3Jwbx|6SMBYkdJg!mzQ`vUm@lO!faF)RCR$O#*Jza5X<?hV
zK#w(yXS~z&4`YD!-^u4J!57{>yR@K;^%dJiD!;?I*QVu`V4Je1`^fvd?LxMppWq`B
zIqDN|ux_mC7x+={?7t825WCLwd${t?*w$gVsm>?=Bb-gW?+tlh_*}2J-Vprm9q$+N
zK5_V(G5sifNZ&h$yl)(Oims#=-YlW|sS5tFU_UhirwL?bR={-e9Jfe(L+s76C$QWr
zaoqvpZ*v}x;m0*&3$I`q)mLd*@X_+W=Scp>*aH?BaM;&}TRP$F>#QNMu=G+*Ob^U1
zkkfVt7VKg9@(!MGGocTHo#t72$@iDi`A<I>W<KcbHx19V);svaS;e+8GccpCEWaP@
zY)d~f0Uw_EdF%{a|8C(p$yZ~XZ*qX?d6aU<`OO|OJtFm}lZ*5|_rodsn07kDG{=*r
zTHwB6L1r>u7jP;6LKAG<xHFWTk2-X&sRVw%i#?UptM)bcaOD{s<a5`Ij2Ax9y)IG&
zdqqT^BjbtoN$wMm;q!`H#mIOh=QvAbKHT${O34sre6*}t0FUPc=BmQV@`d~SVAb5f
z7;V@wwcXPPKFN6ARSr(+PtBKvb8M~$?}r2BeC%c5ZIy$+_P~4SvYrURf=7NZk@@Fe
z6JBm2@bb0FH8Q`P?O0Dk1vmC2P71=0AN<hS2(x(4>TZSgnN6g6l<@uRc<q_tl#J~^
z-onRI?+ugr=L$<%#U^;5@!i};n9=_C?-y`x=vkL_jNdxjGig493w5N7sSuxX(Tym9
z-+y0aqJ%fi4M-Hg9-ToSS>cpy-SS*`=AcG8`Mg`v?@pw`mkcRxknfX!kR>Y_zPPzn
zbqh=zoT?cM?~aq<AoaEfgEqX1gs<`ZdczBE*?rUd8eDkeK@Iu)djf0AufQ>mu6{zW
zUx?00KX}5K({?u;@8p~110PR$w?hoh>)51q4lbS(os)%AWRJgcf|I^|en{r`ul}9z
zwt;h0!V?r=n=qORYgq7>hS5Q|q%i5E3G5s=p`Z-^YO2gKgs<~vEi1ysYT8;yVcL80
zAJky`Z_be#a8t@s>Jj*A+wc8{VH&Gq3p03<N^M03Ho4`<ejGlgKaeF3Z@7Q?i!I5&
z{#!&8t`F_nL#}TXar<BiI8$MKos2)1d0n914Nqv@tS0LtM&B_$5`d|tICaSV#<aR|
zZ3`@Qwvvk6kM1KGISg=bBVW@!nA_RwEG7I~q2_W9{N^bu+v;Jo@3v`%Phj2FiKHbs
z?Vb!Hx&KFfuPe>Mr#@ybJ%g+JT&{kFx6JmOBl$OvJa|0>TOE`&Bkf7Rf#}VHu>O6Q
zS5M(_s!p4i@Ggp%<)r=j@AjkYW|%f2WtzlAMk5jm;WFphw<P|E`rNzwaJ0(i%jEO9
zGcR)m!6~t3PGvBgpY4eNxPc>UjC}rqttkbr@S)*Tiv_UtzEUSQc*k>l(Oh`-YLL}&
zSXy<LQW{LjbcfR%-W4?RCk0mN6sy;VH~e!HjVAH4Y6nR^n>gP@1Z;eM@cl9PVYG|r
z1(;rQd@G4($n2T$f*B*cYDwJF<*cX;ym^cDPZQWUN^Zg$9*+N#LgEc>rL6k!c;t&M
zMsU;Bu&!eyZmeH@6t1P%utMtB*H~?rA>Zc%^>EoCc-kdrSOfM5N$iq=%Sx^#k^J#F
zpKvKSfQeQ~1#ah-$|UW@=D~>-RrtntcI#cRN3e6Y0*SwP>q**&-VP<3!|>aGReSm2
z*NqLEWZ@i9S!*`f<bz!h$!|3g;$($WdB%52!BJdk>ZE<3(D%uZgS!sg-mn4AdNZdk
z0cZS=qx+8M>igpWF3Kn^BSjikMzXicEGx>l2$`ALD=UPe?2+tLvPqO(C@Ya7qwJYd
zBBE09d!65(&&T_HuaD2?-gD2o=cLjcA?tm7W^}I;hgb8cX6ND2;jfm5;k@KJiqG&=
zW9~tcud=QF=|?znaQ{ml*tx*>-6(9W)OU@K#KQt($o!VNTrGiv@b@=zIb?jwE@o|p
z6JBRjwIJhDK1%M<Z1DDj&tk}USbEwk8j>%f_gb?FW=oWRxEs!3y=n0bzC}H8iR3R<
zWbCVjJ5TBEWQ6b6GHDgV(KWH*B%e-Qn6?mBQ(F_>0qfoTvhM*LtDH2)0MGhw8N3H?
z+fQ|CGaTp}M0*Q%&g9)n@;S`%n&RNg&*L7`!0vl54u-=CC-%9J{G)c!NjG5gitD>5
z;lIXI&15|o4~_U3lHZ#q5#$XIQv8%ymq&lUP~Jl_A7dbA>ETAiFPn^CvW3U8&Yk;<
zxMJLyWHNu`wUJWi2E?UH<Ia-#BYv6pJbokYefM#)GHjYUlTYGqa{taM!cpwXr%Bv%
z(K48f@A}cvwXMNH0p-WY_^s(XbLSO!xrfz(j6X|sv3&XiGwQnWlJV!kamVN-Vzu6L
zWPCgGJ0lG_pK65|!%mo1-KKZ}{-$~BI2Bxd=^r;apIG7VKV<xTiB`K~4sH_KsPGlz
z?dBW|8%UgEv-{uAupWhJE{WglVACh-Ek(BrCI5n%if%KK^_YYwypECc8!k;LkoB6X
z?b<4qVX7wUf3>iB>o#L@ynkUC|3mnZ+3DUzSkX~#hOGZ2wJE`G7T&sijp+^?@Th5N
z9-hx->LUBcQ>AZAoq<F6t7mS(Ns=sjB>$4isR!}!VV84%$6+3i#hM7XG~!~_6ue_O
z-0LQ6%6Qjg2>#b4932ezmgKXJ!XK+&Yg~oXu1_`e!PF`q<~}fW*5@l9;MsWQeO~ZP
z3kPQxtn})sxC^Xd#X0&8-hb8NyCbaLZ+N{Oer&m!)&|a6(NpY%LxY|)S;9>fku%M(
zA*1o2F}z#<TGmT=U(%LjBiO{MO1%M=?R)a@EL<2`xTz6#zOk40G+c6PyKWggzxMK&
zI{ZiI-_~+CPWot-3Y>rKg5d+$_v6>jqwtRum0h{8L$0Hm3~VToX>l8V9(ll26fS8B
z+Lr?FRq;v`fFC4n*m)IRofRtLf_J43cLc)^-CuK)^~=sX3hr@(DRpnk?|~;jQ}uel
zSM7~|ll9ZicJTQ*z(;d>c<A5=omY#laMGiaNorWbXD-<eHu_BYh^$XI&=W37&i{sL
z=Mq_e(BQL6WH@}5HRn_beA8)*Um~3OsW7$_?pgZLlL7aOeSDTh>@K901*^UKM3Dn?
zUtrBCgy*vhRN`R4!-MZ1!^a+$Y>0tnh2{cCT*h5x_YL@cx3BC&c-s+!c(Ok|MSE%}
zIe+ZgdcSa(O=5d{D$MTKw|t$%V~?<q&zE#xVl)zNh`DDJ2EX5}V?fSlb_z>2zy`*-
zO62b~PKbPUhj$n}Stt3Y)D+|GNxmfQ=LFc#;ZdJ0>|Mffk>qbweZz4cHcWTcx(yGm
z$=jTROWh({$p1qxYxGzJu5;=xNrq!@w*FLv-`@YucMG;VG_5QGGd>h%OoNl@Pv1BK
z4<FZ!BIje=>e#~$TN{R7&Vav#_3dVZFVHs@lepDhiY=5dN747&B;F!sr?W1H`{Als
zCyBQY#wdP-IkL}Jl6X<fuj`XA|IhrJK5+hX*N?{VMCJoGvL2_+r5S!BI6{2OoF6Qa
z{`Im3%rv*wOV;m98ZfIp3D0|pCXjp<-;3tQVTD%*uY|#dCwsHy;egz;GUWU3S9-50
z4yPp?=OEwbzdI*mMPS87*HN;5r~8VABp)oKe*Ps{zw_#Nr7sVBo9~$t$xqIxYhi}{
z>(d3u_kU&|{}x7ayvv(UB>!8mVCiOf)7^ruBsebq_A(7Doi!9q*5~B?FEwpl7WHk1
z$6jQ8&Wi68V}D_nA1sR`f5TPU!(U;+&Y6Kbu<8>>m(OsNE^9K${}trAYaEtsnZ8P{
z-@~dsh9fXT2FtN~aF5e_iaxlcV1y?RUTu(8eFrChP`XF*jSniuy?`BlQid16$LQ|%
z*29515+_Oi%JBz&mGBvw??UAMc~e2r@C2SN<(MmiebhHu7s1b{271YQp{I0A3-V!s
zfupBMeo>I^N-}&-{+o0KEYJR2_BJePdtim+FFb7?i-PSfJ4R~YkQp}a2>9K^zqBft
zWAZ?IFf1Xa>DU6_9BKN`9}e{O;ctTb<lBFHzz;iF8QbAUTlXAugTrmr-oAuCx9*>^
zgZuTStKPuvhwOQ6U@c{a%dg?DN8LJ2;6*RRlVrWotq&;l4PZ+_`;8yq;k|VKPQ&BF
zQN17G($a|Qny~SOC-GCTU{s=jGF)h;;78UQeN)iwtN_0ev6lV}OH2$gOT(w%&K+2Q
z7ou4VC1AcEGHE0~d-LHOF8FL#O$b?^RQi<F>_PYs7u_0J&vc#NM{*}TG8O!htVilX
zRqDG9HdtF@{|3LF=x|t;!F+sGXX<5mOn+nPB7F58*B^3zM-?vhE;!-ijY)F;;R_d{
zI^mpx&&K3<J=04cp21hV!#!tUI~n1`23Yh+gXlDzBqkwO1?%UVYmC5WVpdja;H;)J
znjv_q|95&Bym#*C{$BV*dByp1__yPgp>Fu7R@GV&+^)R;2l;)p3SDYSU`c+9(l)p>
z*2OFrwl3b(_5yZr<=R^S8~@e{ZGdI7IbPg@=lH&7RKr;`-Tn_?$3c0cN_g^SCucf*
zv3lI?5&YNDXY>wyxiMs}5Dv9;5{QORy%*S&4QDno&cwol!oe@@!{4Onqi(<lmiPxq
z`Sxsgv04Nyt~qg*+<)#%DYtxKOO<E`azAV7NSyYECza><qT$MNz7-ERayCtolrNeI
z4W(YNpU#GLvOchc+GBlZ_+Hk-T>)@dt}3G&yym#Ohm>DG3M8xT;B4oXFJwL94UtVA
z4zNR}c)lC_bNDf<CER~7_Pr&%AkY{`@`DsM-L`<+n@gn3VPR{N=Ckld-javbaJBnD
zurB<TF6FEV+$JwlrUGkRz0rOV7L|G8tOU~+IJ+9bHpZr5a<Htx_+gSST>nu;2ELWm
z(tQr5jf=k^3SY|+i#`tvp5MnR40}1Uh@Xaw`d^9g!6J)+^SW>l{ag_j9OR}frvwW$
zrZ=&}4sJOsD)2jDv0yg1Qy?^59u`iVOksj=6i?|Nhq-M7^cmpr@)!RkVHsZ`=PmH|
z>b=!6uy0xCVLG^a`)?Bw_=MY46-sz(qBg5I+`XNPk^(l9<!catjr{xe{Kk6L*A#vI
zj=%y}1Nv9sV2S?@^1!}nBJ=aGPhI8^FC0NNQZxs1ZSV>{0N?9~Ya;7q&uytc$_f8f
zT0TAjPlVXrWPr_-i}cBQ+kfebRG8tY`w80J@U@X2gG<u*d~>?i?eJo^P|^xql#rI$
z1UDL|-x!8vGR-QV!Mj@DDv!Z!sm~WG;E1E*60I=5O(g9jxRcFdp$!&(E_|&JHZcAn
zR}IfKt))GHnJf4Htc72y^cmcT6}u+WAHxnS4_wpWk3}@+E8zbIuL_a%)JK?K|0{+k
zWlx`shrQgtRy~5>UK8FF3(E;SGRcEa$5XK1gc~-u?<s^86{iP6Vf~#^_4ncOzvYX8
z@H@9G-)uN{N9H4cSpMb30~s)*uglBJa6zHxU?xntWE@J?hySc29+U(-ZWg}d2y2%s
z%BRBTJ{`PZ4_oD}jmN<iNzD<)aL_vad6Lg)S*LCUZ<lNR7Y(OZnfj3R=m&C|-EYAz
z?xs>?z4~!}|2>iL))65cvY!19p36NXzxSWmRwWYuE#Mmpcm3BRFAnPm>|BU|i!{Gh
z3Bhrjz2yAh)P}mZWIg?)NQ)JJm}C3fXtLhEnigZaCoCbFl|$C!|L^pwo;RE|U1iA*
zFPh~4b%uv4BCqU%DW)ST-QXi{a%7p{1SJ{cOYnomQ<tdW9fRMyNxt!KC*F;)a!|Ur
z4V>_T@%#$*69_t@`pp3@tCZXI12$!!OR$7Z5{ryS;bHnyO(gC~Il?v!vmN_xN8&%s
zd^O*|A>8hxb|n6^jP5lYkjZr29KO1`>r53aYAst%;+s0pZ?AywbG$bsajO?!kLAHU
zDq?S~VS{TD|FU5_^-fO{m}P(K;bb^FaL<>Eu+N)aUlQS}*QK#WaKxueqCs$a`1J-7
zU)#~N5CChjv09V(>7<*q-mu2@hX=^{V!38oJYm*(g_d(L{bSb^8#wsl1v!%c^hn<m
zEBI*S*D+mqUNWu21kR@SNF(`HEE^*(z>(J|6;Hujoo)Be!L(u5|LDL*j8f+R!K~U0
z_fEq3-v7L{;KJ@$BMtZ-hqDyff8)z1whc;fh@_;BG8{LbSgQg{s}^llglW$0H<yPW
z(|B-`{XLq7Z?PSRIsCp&O2H2Cd!I|fQeP|n2*WBFQGPP8Ns~m)5t!>9<3SOad1|fe
z5WMTi)j=_M;XrUKH!K>oF-QQ`n%B(R2Op1hkUIkR#=f)O3nz=tk8#7}CDymM!P3KJ
z=SY6b@#V8*zmxozqJKDG%6ppWKe1nmu(%vQiH}71?^%L<KZ<&?!px>8M9BUt@!Nuh
z*x_%5d#1^LE^z^66x~v&Uu}?mJpu<tIh=R{t4^rUy@zG@wn<jNCmM{tlX!h|@Ri4K
zcDb`4iKp2NIi$iH_WCoA!c~QdWl6A^xbBWV_|-{cwaai;%74Fx;Dp00(eCg=wLoza
zZ~kE$U<ijwdhH#C_jzzM>BD6U_AEVcVDhMeBwRbJzfSg>@vTb96oZ%9%~reMGR@Nx
z46wmwg$eR`PSS7j+YX<8Yc%`@mfu#p<C`RYpQl32<nLKKU)K8qKXZuPK=!w(52-lO
z4OfmEekO6xK-b7Ou<qy&>u%T~MYX>U{$O3D{Q=J6TgR3wxF1TmBS@V8qTJRjc({Jl
zjl@4j{m{J&53%W$kT~6dpmG@ex12hO#I-U%-na%Uk6(R7_T%x?m3zPo=hZNlwZexc
z{(R<!ttjp~JcU;^N4Wk<;QBtpb+!@S7JT>8Z@4>TE|$cVXr394!B<Rdy-ECKf56>g
zcri=1oWxH#C&xCy4`_?hN&MJ=LEm$@-7M?_iEq5-(vk;f>dZHgxb;mD`W)D}=G{LM
zH&j*q8wuNsiB6OFq3KOZ;c!64-n&)suzcGUGkBouRaGhM5=bR=5!RFKkt~MGbW4MD
z;p5U0wwbVyA<K$B%-5oLC<ERpZJ(wC7f>%AzYR}OCZ8ku>pv;i6JQPD*;RE|apo~g
z6g=e5P_6}2+K(mPfT>@Xt;@me@wXlZ!Tw3T)yLpqu1Ai6uv#^zsU&Q(Y8mPchfpi+
zk%5I8ayF9vrs9tcT;zq9Uz@O#{ivSOF0l*1v)hW(Y~kYYP+L~`)>+#pWIwC6t`rV-
z_)7CFcT;#n)Oafsyk31e@;tntw-Cevr^r9qe3tmRUk5czXXnm&3Ld1r9!dw7`xZ=S
zzz?ck3T%LB^e+8ThAo0$PgB8*ud-_t;ijPN5r4$-eVwy@Ckq>OZdYA{&j{wkOTz~2
zr)QU8cWawM5xDiM=7V2w@4doHLh!|iaP<ZFU6Nq>LHKr+=QENYRPSxHAEvukYB2{}
zU6JwF4ZmHxyO-pv(cBc<1%Hwpd_Dsoa@Ww>4o9)H_|3v{=6AMig|#!+4otvoSIoGm
z$?=ra15@yY*Hx2L@X-Obt3&YdB)`9ZvENvF!#|l(xJdJT?J8V7BRbj#dtNl2`wCAf
z&FYeT&W+EDX5p`o_x^eZ@6-)xo`frT7fVV0<hd``#$oTz9QvK`w5M~$JJ{L$`74tD
z(`v-C3l?^mcW#Fnr0+(*f-Rk^_(;A=1f%v#c)V?@vl(uBd^?crulB^`k`l>Jp^sWC
zhvol0jjVxrzn*3(fq8FwpLhm8u<hzAf)~0ozdV6We<sdn!)@bw*_H6OKGu>fSl{o8
zMhQH^G}f99@7pT0u?+Upw+l;!udL|i=fmUrOI4BZ^}NEpB)=py#5)|`Fx2rp2W}PF
zQg8+4$!3-)f?sOgxATQxbBGUQ!H@1AN^^kesT@!J|9tt)hL_-vuWl^fMZBy)E%E|<
z>_w>+IUn<#IZZ=YyXV#BJMi8Q0=HG+VM%)_5}!~UIHwH9L|q-qfE8S}-#r2c6|K>d
zxT|)n>0x;E<c^0Vp3I*AVh2pk`yn9@_GF!*WQ2ESwSRjA-?d-XBKz@mEK{&m!%>^-
z>HoqMm$o#JxX`mb$G*X(3N4})u&vrGw&KF)TYueO3_DvU?V5(iMY!Wge!i|l-vk_>
zARtNp-pPHe^Mf$$ivN58e8qX`;Rm?jZ1Ao7uxh0C7}=jtPMeK}<WG<7Fl+sPKKq#@
z*s`|4y8#XrzqmOS_Ls<&u7j0BEK1_w2le`AD&cySEZbXfQM%I3a`@)t-K~*uP~Q^Y
zLwF<aa7#3NdDrCULU?M|2m4TXZT%KyHf%n!gZn0YdVfIhU3jE)qq8?WtSFY20uQc8
z^7_Fk4m^YLaBTKo77N(t%=l6SoNS@?))JmO{$nW^rk-N4RE8Z~D(SDlMU3+7Ctxkc
zu1K=~BV#+ejRf3(B`MnlHuRQ1APtKpKjU_QPx|e-bO`Q}4Le5mlRT0m%E=G^PRd-f
zfbVeZe|ZqLowdWZtQaqPD;C5B$17(i>BH{zwC#-W-ZyTKPQyH3Sg!4Y+1eAaY!2!d
z#uR+p;2>(tn<rrl`YjVXU_q-0byb++&G%4RSjXa!pA_s=yZUP@{H^F5igkP+FGn&q
zk^EmLD;Zz|-N&-z@6oQ)|0Mfwel_h$WP^X3o>HWMy<a3?&MxlP2lPRd@PI@m+hJI0
z+aE!)pD3%sL%!p1L&T|XZ{P#DA)S)2H0?iXvOj6XXYDW<*z41Otu64bdmM*FU<T%m
zWA$*G_2(%unCiUgU9#V4uv6_#0k}ncM|A~!uF_xW2y8Xr?DGV+->yBw4b!l7737fP
zg<8&&{1-)1_7C9C-3k9V;QSq*LNZ{V0`&@#PrvCul{ENY2D1@6%yRazXB7N?(4&Lo
z$BJ`HM!=U@kGZnKb^Cj@ufZ>_&hU}^Aq&mz!SL(tC7n$0?S=vc517w>`8dgcIe%z_
z8~mSY&D2i#^`C2^mhg1t!Z{Xr7Yp5zIjk^Twn~1#t6dkl&cZY{AMDBbM&Ey%Is+&4
zC-0z#$A72&(||ura<`HE4;KaM)Zm#1laAEzS^|gee)#M9L<6}#78gR|4#N5-0(<wv
zWxg+7Fv2XJJEO?;)gx>jvJ;k}Zxz`Kd)wWALIv-V&A3ml$F-&*|Bu)&Sa~>L{fQXr
z=PW6=N8vO6{gsvQpKnzueeh3nZ;jh<O|*a68@SuEjWPvZN=>`m1an?nlW~R*@3fD3
z2EU*_x#$Wz{cik^?B{&!f;FESys2kKmh8tYw#4D83cI~8dP??hZro{BBM#fQwq=q1
zn{DOTC`DoG>qV9%-{)<04j(MZ(5(6Y{hPzwzVX2E`*Z2Z{>?>RI}`T7G8(l@<nx3+
zZ5?2P*K^XJko}uYXlw!*;b7;YG_rql-v`##9dHR-)CIDCb97*hJuS=>oUBatZ_XOE
zf4qsr{k=Dm{hJlWww(Vbir=sJTK5N7O2vBSCoJo1o<R0*?sz~GIS&^~TlkK^Px2nU
z`w9=LACnt``7L$5r(n5KS&m7#a`{*NI6S>`*W?(yjUMZG!?G;fUd_O&0>_K`V71fD
znk3)xV#snc{NJSt(OKA;ndfLD{8TA^iR2%bdO2PLx2^^Ze1qpN+wxVxWgLcSU*XiH
z&7CFib8n^KC3vkNkGU8&SNKgu_LFXDo-;{@RSE}Ym*Jn>;W;VrUyX`FlF#(;ux1>*
z_+LW&D!iK35+4nVZ_#90fzvCu4Ee(hd<Xyhh4rK#aQeZS3jb<J{$Trwmu_&{-_HAF
zKkEMmhPJ!Fu~}hU{}6vc&tYH+M|$XP*@!s(!-~5XU}lG{QDi^sWW_(9HDPw$E_Z6g
zt39Jd)M44w=w)&~!%N-1(y(!&<`CK6`kaX63khOR{tS|@BSLK>2tVC68L}1L5t{gr
zA2vAlTxAP9FeddM2fXa*DZl`mG&ZH~heeikzix+rd)pjmf#alU!USMzrz^(vu+Okq
ziy(aIL2nfkeEY*l5!nyhMf3~>11vkX{VUloo31*~h!xf`v#M5sDXbD^Nq+g6j9(|<
ztx}&<*<ri{IeH5Ib5=i!<hS!)+eh}NPVy@FL_VKI)%!2Tu(9$LFOsjl!X`lWo3<$J
z=;nqS#hrdR!p(`%<_BOm<0>f^m`7*mDKDI_LAxmc7SM{;<b>Hw3{<YdGp9e~2*7`S
z=j@DzZ&>?D@W3L!)=tO5w<;QAkHGdb`<)o^JW#8o_^>L1`oK(nF*7{zTU?w9@g7r2
zbAEWyRf+Bo;+x;K-8~E&t-4u~IOVU`j<WF6+qR4U5Px;fwpbn(xODpzHR7K&Kbf6@
z)m!a2))3#o9*Jdg(S96D@F(%A*)T_QSiHev%LdpuN3{4Nti=^>O$T%B$uaYWW34&m
zNPMT7;a#$yv(k=}w@LiJH!`xfNj}~SCg&Gk{q2(sOIha8(;zO+(8BlxK76v|&|k#A
zNyq<3_GgxKZ42Irc=<}u-H-5wg&VHl5#RmTeC!jvsGipG8{Ry7xOfFNINxjV19sc1
z=J*2^p=)0I0#A8eJV1x~9GmF%?n$`)v-cP^d`Hd8YY<N4=xW&t&%L0odk^zZPls-S
zwZ(s1yoCjy$~ZE>zvM&nU&HQiP6?9wq7<Evb~9Y2lEKIVpSVkv_yQi9ZcZTi^U9w`
zO5s75ZN7WpS59u+CGe<~%qkPi;I8j{2QH-c8)JiOMMlfhV3B`AW8`>+Gui6C@Ynkc
zt>pNChk~(Qu;oU!mo)IkefKNH;hpz?k5j;%i921TVDph+j#d2swjys#_rW~!Hu7Y@
zX$cPLJy>7?>mAeje}xAgex;#>MY<Mmllp1(Zk^|w;V;2O{Ufl~?bVX+!ubBo(!ck^
zo<4eZKj0g_JZ|sc6OFqcPr`Dsdm=mFdM;;&k8r}iNAxe@H`RwLdSM!e9G>TJbBe$7
zdwAJNJ@+ZR*H^N-6&C!V^qka3livrqy@J#17Zpokg^iL=tKkgZd7}dO<hY;bQ`nKI
zaER1LPo5X3FNEdj3RmvHV~_2<AHv(%JN|^gzco}uHDI5n;&HNHxcHGBJ||&X+YF0P
zIAE>lg(N&y)q8=|uO;h$UuT0K{*z=U`+xTub@4O8H;aNhhvC(L=WCnca*>f}QeS_0
zH7$!0-r3g1{S)4uwz2M~5auIMvwtMlpApT3#XPL6eE7F0ejmy0QNw-2o%7NXu(NxP
z^eD0H;AeICy2a9#eppsAk53C0qNlSV@yy4E8f@S=i`c6@a8Mov1!*5?Yuy_hf@#^P
zu8{VZxU-bp8`wO6U7obR4&N0RYk|erUw^#=w{`w1tAo3;CW=UVj?-#hzXE<!^uwzF
zHu+>b^$0FxrIyZvTSm-o=D`hJH`z)1vBN#(O*Y&Zn>t(sk2l46WWYZ^?rD4s=X`3d
zNrm;s<djLie`3|faJc8x6W$8g<kXx-7%YCH`4h?CpFcex01w}i=_Kvf#(5UWE3o|m
zjp!;^AZN#*JFL=C?OqQj`Y9ZAg{kw~#K`{P*^x3WwlKpF@jXp&?}9bGHB8BOE`{W$
zvm5B0gRe$Z2eiO*%-7R(;nK;rV<bOQBtTIEcAVzpYKNay<%XSvm3L}BAo=C1DP5BA
z4gLo=U&HInFIdE3;k75~Bwt0o_Nf5;yn;@s8#eejM#%@;JUZ@7;`6rc-?zh)zrxRw
zcvR7X)K>V?qz`i)oNAu9@x>9;M@&_PD`Dzy)^$yA-TQ<`W$<@pb=oKJ-3W{JLRdkE
z`9%dRS~j<ZwAaV$#~x+C`#4|lkl(jUCFjyzcqP!vCJ7eKwlxTY#l3H8k@z0roXl%*
zY}9H;3QYUf@3TAHo550c7p9)C6mo?HX(B|)^^x-}(#H%A5xU1h`U9TcYppkiUmYCm
zC;88K$}G>puRni%nhO`&&KBsxI)Xg@<nzg@_3CKAREc61<a$}(z2){vST!kUg5>*6
zjEzddd@RMS4`H*D%sk?-vm=KZxgLF8W}P|V_)Q#wrEs7fd&L2Gv?QgNoKI@;`}%fR
z$1FacTu;V<oF}%DIEU6d5`SbgCjLVZ;~$oCRU|GSywmSH{L7|Rnp~f09+ORD@U!Px
z?Bx2?5@Osk0tf8jxkLV*M9|dP*YMK_nh<h5(!OO#dj<PSMN&P1J%c8vs$s<!)}P4r
z>uR|}pb~DfqbSUQr;9m%+QYo}<XbY~v9!5IPB7z_&nMF0k-H_U#&F1aK8ss0=QfWg
zX0Scu<U|bIU@Wqx1J71)uib#pX)ILg!Z*jl>O$eZuN@aO;5O0r4}tKaaoDa?u*SYr
zLqFIoS>8+@&dwS0^nm+seBW~%9;bY|;tW%6yMOTreE#_+20OUV{|vhb99rw$Z4C?5
z9(utGck(vQnZmIp-F^b_@$$z`M)1@9e$A|K@%atmXW__%1A*-D=h*-aUD&#1k&_t~
zJ^I>86Mj{fFw6pbrk~GMfeTJjb*vr6dTT{RFOI?%H5u18AkK62^hPPzLu{kRC&cYH
z7wi{?V-6$>et`=+tjzh~xtq&u-LQjx^A!%*^Lub_51e-S&p&qfwBXMDP4F!#lRYf3
zBU8%z7Wi(<-BboxD~*Gr0`7Z8U9knGpv)eug7crAlcIqa-tlqg!Fy-xbjkDeXid&Y
z0et5?YtJ8)?<f0tcvIoCPebQPc`tkP&UiX(llskN0k+QGBM=E&i<?A#hAAT=rlR46
zpzf{Yd24Wt@<;$IudB*Op10XqPBT~Gq^6Ct<oTlf>rkXO$yfH?)C+4(#HjkgFX}gh
zy@fr3)}k-L&Ys@)$@5C$i<z1uJQAREk@OEWNbH)kgda>+2ax_DMJ|sV8#o~9JOz3F
z>Xi)4>%m#P@7T!mH;r8^-vFj<%N;6%`Aw!yoq;tNIe(G<AmKC8G-u(RjDM^0;oTE6
zg_^J*y?4)jc-lb9N*m6!KbJ`Qhxp{C=}y3+Ox=%2|Ikw@;YKyMtoyNR5^QQWWTODP
z@ry*o!u7Kp2bEzBH5Tn?xYglxvn(vHlV}$Pe{<U&coeql2;{#G8>v=tO27%hYpMaT
z&fDc7DR{f-9Q75Lb16MY2zGCB;P8Y$QTEA-!pAAhCf#7(%YLJL@D$V7nmt^*`BCy=
z_)kfHy&Y`b`QK44c*6bsAn8wfJrlCR11mY5O*eyQ|8S@6gI&gZD-GZSsb|g}gdaP+
zmpKRLR>fuPfW3AZpCkQAt$mexj4<a8hkkYVx582;B^<c0w5SAc8)Y=u1e?CyFG=d>
zEAvw)z6#)ab}Bw20dvu<uYZHv4GP%~!e<#&+p=JfRcZ=ec#2DW$2~YUQ#+UwZW%N*
zh=nN)v#d$`;BAoF-6(jUUF#u|&pk1yavhFtVxbp;-|cFR2!^MO%%VyDsqwiUSNM_B
zcRgv?=g%_>2e{3daknJwcuAMW65hs~Jf;k%l<!J3fon!9?kU2lAw@EJ@TnjL=`<2Q
zJk=!%A5v5JP3r$LF`<|F;oIX&XI{YnQUms}!jXC(8OZgj>%!Bx6Be=AHuxGA^EN$A
z56k5IOC$BQdquR%RPY9UF10au^i1o^Km2IFf7nV#?x(Y}ZjMVZ*A1q*DR_Qr!;=Nr
z$LL@21f1AkeEt)h%SmyW+^@Gi8mA{<iRaUj-(dX~m+%4j7u(Ppx!;8neOY?pj*z<g
z-|*%Wd`~-I0oS}RQeL#3IHcYRpUDbS+XO$?>z}KG!<FUUAAr@TifNv}H$@pz_Q49q
z=0%0D_4J_GVVG}LMkWUyy;E|KAC`adZ8!sFeZ^5q`nNM|eSgNor3&9%N&j|DzG!+l
ztX^uzejb+DFY6o(zq1z_IR`s7{b2Nkf3>{Kz6jsoO1$d<i)%$#o5RDrXH*^FLnXQz
zw(vH=j0ihePyBs5$(K9M+<PA0R+e0H3HI+dWz&PH%8Xn{{(sYK4X0q<E|#<8dGe6n
zl3Ejft$C-H<i8ae(vgMVT>r1y6;_$!xGe=A{%=Uu5vFxb9p!;{<%RDf&!^aiQEo2y
zou<bGIltC&i18{P=G*WxwUG0_oOzY?6aM>pNy7rJ%HDIe8TKj+K0=;fv<eqnUcm7;
z_2$X*%cOdbeGObeJKjzHUjKwyX(fDA`bmO4tXjdMR{}E_$a=ZKADu3w7s1p6^wKV{
zZ91dk12`r<n#~KAm^v4B50>5|o<Z{C)SBML!u0<RSzd)R!j+68U{kkWTmi6o%j$*@
zn4Q&;_Bvc!E1`B3{xT-t77WLq`S#TdcH}QEx(V;^;}P?OE0wM|hQTx~qx}vroqr7r
zsgDWY^(wH01qMRillt4{AEG)JV8&<anWR1yG<RcA4|bj2Zbs@~CU;e@YQxGG+IUF)
z=T}Dzy*fOn6FKt;?io2%ssKMWlzCVO-#r$2R1SW!=eN^S_-cvfgeXj@GP9eEN2MCY
zKjDXKS%l8NgNFv+Y!`zw&-lv?z&gI8=Y(P3kT%~TxI}}kR2nX^-)%ApUvuL5DFHwF
zW1BGzQ^lC+9)m^VtFC^9Wu$GA$=~-lVY$8lhdA|XYr$SSD<^)!dy?PZBA>qj%Nnf0
z<Hg$+&cM_qR+~0pyzbqFEs{F$?+Bi2o8bHY?q5yeDj9zpdU&?zlBh9kvpA8n4gOl0
z9%ThvXv>B(!{H7w?<`<#s|Rf?aB^$?5qtQG^WUO<aO{SM9=34q)TOTn;Jl)tH!d)3
zM&p}9@S=SSvlD#TMRGeo%w)6Vav7%Tk69FkiwfUYxWkpSG@@c~?+O*e6`0Ym`j-Ms
z&HN&R<g2(yNt5wZuEN=00kBq{{DeNd)_3U@i67x>I%o(lm&I@g!fy;4+MVDZMRO}8
ze*VOnEw1p>&TYCR&Mvpy6#)Br#0>ku`?f^w41!t5i=~6%gu)~5qhYC>eNE)^Y%_b!
z5(noR%kIApvlcmw+<^}&r4^9#ZB=F1cMmpFd9vvSIbObG>LDzlwkeLBZ>`#hi;Sm>
zCbE4Ehhu)`(^SD}<IhA${@HhiCu?BOfbK|g|EzbdY<&sK7H!^5?w_Oa4^O><+Y|P>
zC&0N{@juD@jRXDflu6vn>p!V+SY+eG9TM-7xWoDhE(mm(BIl#5zi2oMNB{Lco&x`?
z`*q+KY=0x@70J&z+-$ZA&*?;Pr^DC#^$*cvJ_`SzkVm)S0zLto&G5;s5nD20-N0JG
z-SBw7`)zW*x$;CuRyac3`#UKQR4O>ddEuaaXReU*#k#BfAoF9CJG2kpg1PuY`wzpM
zyDF{Y;3nyuBz}0yzVa<M;iZ^KUlBOzC+nF|c>X)3oDiI6uxG^|el{z&PZFMdaYfD#
zX38`i5rdfn{l?tj8!|D^$^0Hl?;&n-Jswji4w8nAq6c5uz<b8FsGWdW`4i8P>-*?q
z9$FRnZD!)C0i0iT`U{y)^g!v`aeY`~<Wiv;?9VViMaqw}*JGn~;BBg^{N#Sr`IoPK
z3Z`>D@kSZuI?*n27S<C<Wm1G=c1(Rg1G|-{Rg?Rl{SQU&dDx$3ZjIdke_8e<>cKVB
z-?9W@^#>x}#&B@!(a)rO(KNF7Me+rr6vbF!e=3hbQ+R<Y#+wD+za!Vk2)=tL{slFx
z(o=fO0yYyHq1gyumz=31=i5_0c4mne^HX+xxn~LYofAk}fZeF6El9p%+F|)mu<MOY
zs&;U5yGPJ8T=Q!GCNiH(-TpGqFr500^^+r<BJk9H0KUGUV@vXD-RsNS;9y}DO&553
z8`Yl{_`O1nCON*rmO3UI4v4#d#0d^G*6g_t4`oh1B*$+q*Vq>iH_|u9k>g(;i@q2G
z@0&T?P2#HB5xSS*`?DL%NnF;gGszv+c&}GM=95JmmDUTxNBefCkojieV!t;Yfh7mk
z3@*YQ2}}9huz?@7{3ZDQAL)4xc)VNUFZq05%f)W7!cxrhBjodC7GM6r0-vd8&vbwn
zp1THYhsUzIgWTaj^|D5K_>!kEr87+9m$&urA+*Ob!&|SwE5|sKSK!pz>66}Y<a^eM
zY1m{#1b-kr$8_${Buv{`HB0jOKA!FvfcI1wybgig%5Lm@5BGJHpCb7U##fD6;mR%@
z;ZS&QeZ}1-*iw4Tg~W$7^I{6&`#moIk+}28k)Av_``~@XYp@Xa2cNsJy4jJHaQNXP
z`uYs`saM=(lK;npk}e9?f49pZ3XV+_*A9m>r8!uG;Y@3$Ff*9qV9MVc<ahzK4r4g@
zPS;a%{PlVT*K=@$obdqpJm;3T96k^8Z!=>j->=Y0u+m>1)Nd-P*2(n~{Od*7Z+P+9
zCMELwg?FlLu7{;->rD0Gn!F9o&*5&<+=FDk-|*46e@Srae*5F9Bz{w|DiwCtVpo(W
z$NTqd`oMPTpG_oSNrkJ_SKt8JMl(|0SUS?A8p02hk^)G1w49T7))-b!NWMzu=jClZ
z_(=|q-RyaX85XXqxql4qZNI*MC!9a!@>LM-^Rzm;85Y~MDOVU)+rRXW2Cm^8(d32O
zF27^j03RQ8q!xf>jee*9Mfv(`mhChv>@z)7vkZrD=4@t%T@QHrk@<ZU+<qlYB>%iY
z3Yp)hI7M-Z1>Uu=Y(UCyW67Rv+hNDv0k28;i|@I%oiN`kKWS3_|JZxTi4JBmHrE?~
zLuayh>EYss)GY7epbze^sbHb`ui{-W3;)+JYB($7_Hrjo<xq2YjT`G@Mffw4=g)nm
zBQq3;fAbl<)d*|Wwg@jEK9$;BM&^@IGfI3}gi{85+{yE+MSVSH7M94jjC%}69<tMz
zgDX_ob;<Kj{h`SG6ukPJ)};VuXGqGQflt&n3+KV_KN)L}!qU^F+T?lqw7ZUW0@jps
z-%jS6dH)V6{s1p9m<cAsj&@@<LvV95_qRk?cr1&)2R@+5NFM`B_Wfz;gUbzvJ0f9<
zjA!<p@T;iy+3WD0Jv({2VD{CN!Vq{~sO!~BcyZuH+ZA}9=z;6)FvSC-a9?tK$_QU0
zd|OmA&mBH-kZ-CPHagE?=L*ZbpT6-7uD!(&b_q`UD4^T`i?Dn<X$xn}eVnO;jW>*1
znZwM%y!UJ1(6KrmGXG5E!}y6ZIK=yr%6YhHY2Su&`23SwoAls6seRc+F#l>Orw&{w
zx81A+&X0GV(jsxu=8d`V*-#706L5#Y@49^Wil0s+sXxiyE53LSreaqfmxp<^huI&%
zZ=J;N%fip5V_u}evUR)-q(0WZyY|W*INM=gkO&-1;c)Oaykf_g$q!dm#}6jM7W#At
zd0>lx1+E+LSlEW+WIo!Ds-2_ZFxN2Eb5^*w^%Acy+@r8Q!U(?(37xnC_x;;yPUfR6
z3=If4z%{q%18L!Ntly`d;Gu7HjAN+ZO58X0dC!IZh1KC7AK^FE2KBwLs=AdliN8H0
zRQwcXex0oM0p_O^wyB4A$b1@ZC-KS`N>T8=+u8Nqu=nrQ8{zQdTP9Q;@NVOX%dRk0
zB*Qd`H%P@kb%Ha0EC@Eja$*_s;&A+3Z7tFs*e4ygA_-T0S<)l@v!-m6Y(F?Lf089w
zn)H{N$?Y=#4x3ZwZzlbjRgc$eufZCra(q#+>iH4RFj%rM(=iklPri833I4Mp6-oLp
zwQJ<qU16Ug1!mH|DquSD>lj?(^ihno*E)0lmMX&IA9rpi?cv}ZFESo;puXxcCU^{P
z9rx3(fQ`##OJ(3tG5x#Qu)in$TTz%dY>QzYTzG_!nY6bnT(wTdz`;2b;@t3Q<yDG!
z_?dX+-#u_|(VC<!T<e&^#t7#wWi4EShp&ZCk@mi4LOhQmyb|C=wE@o55gJp5chj<m
z{YC$Pl>0YcG5CnY)|_SdOX>9q30US}J>Pfu(E$YkZdf;{Ol=naIo>sO2<Ct5(n0zM
zSJJ`+S>TfwZN8BHjNVbknLY5-Tg~Djc)8LcVkdloLAj$BZVCRO!US{8Q!>1P_x$}S
z^5-D#r%&s`WIRqz)#uAUc!TNWlSX*=_yO@b_(a6yyQlDUQTp6G$+vu`Uj=jAIxaa1
zzrB^5F%CcH7a8t^DLy<LoP-+|KS=k(YoGKLsPX^vcYjW9gMCx41kl26A0mHr!H2gU
zpyYzH#um1=!pHMYEAYS`0x@=P;9XXGDaGNdm-tu6@tGt4DM-RW8(PkE!&I8=l%&5{
z!|KdP2k`?Vg%hxs+N?}3%*C#7@Dxnl%6FCIGj;`=>cG!d8wLkpPIb+L#;`=3m@UZ<
zAG&2q`m^bGzHA(Zr>Kk$lKz3C9sH-?!_O}lnv(tof#j!!W3a|4=Y#$*llOM%K{zwB
z#gtsHjInnTCgGw}c?#ruF6(&yf#m;Pr3$<Ob4%z*e1_@tKbpqCPk%Z3eT4N)Puz)v
zb4!2seS=Ny_yUt*p}&mmU*V#TsAs8g<fc2`Kj7kPu6ORiTlyc@eTVz|RoHUi8>5Y$
zl=!{XUI_dxg8jvMYS$4LEK8Lwfzw3|S!fZD&<JKD;~Rlnt&KOqfr-loWITh~c(!UQ
z+&nleTMzfweP7!QTdj3glKVgIzm;+}c&k@U@+<g_)UQ9g;rUpPpl>k6*`mjHV0XVz
zi)C2RFZDOp&{McJ);RhbzBCv7s0eoc_r8Gw<=e;G_AB}D<CQDxlyKFn;WK4$aCg;x
z(%ugG7sy!vpAfbl-vfJle+wY--?}+g60p;f{Ow$rdJ@x+;I8m)*-Y4EV(k-YKbJ7u
zw4}gN3MvK1V74u5m*QaA!IKW;c~RaGx)K4;QHKj^z=8+%r-i`Zce|Ea!Li4-lzGG1
zbcJpg;ZwhJ^jzSFSEI$r^G-@{^8~s7O^-J(llJzyQ*NjQEc~Rj&y&QL&UTo>XPak|
z$n(<CYSBd>o*H@MO`fOaJ{c8f;VVj;WWC{Ys&YnJa3{rQ)<C%Q^W<H1c&vhbh&+#<
zZVOf=<;$-<|DKZPwSY2j#4-39he$vWeE)fikR<G3G<}>r|GE1%*9yZtqPsSb`R3VW
z1*W{P=T(zyq`tB0we>PPOjj$_Na`btH|)Ad`BSPRap*P7FTfy3eqUG1o0nSP<MLbB
z$n`XrrKU;Z5?dq9{=(m@v!h9TjVD-}T>ry~M$RPe9!GhLT>oC38Q)*R`fEDF<o@2@
zuGRepzW1+_<28Jp+bMzMzpM0YZGt&lcYBccCH_0PNdE$s@Q{%p?;p$=rj%C0oi(G(
z<o$yOzKlOB;Mkh=zCJj0rY7wn%$swslDvNrnIt-12s;S)93$^X#EG*!^MTXOe>84`
zKiH;tU4hx98TXU-6_$DA_j<s08G?>Az%moneV1X{Q)TPV;L8h!eopXs&w>4waJ6WU
zge%N{NpI{4%o^uDU<;dNHm?`MW`>_`*~8&6>kWnQN7_)Ci!i&J^VkFUh{4K|70mgp
z_}+bZR6jo17-l`S?|B+5Ahf1y2FEyOD<{F32Sw9$;B6v%F2=$Ze#v^eBwkT89RXKX
zwq`2Asrj6nNd0apf!9z4R#n@jPWpSiF3g-1fL9mdZN1>U3Ps8zaP()TFK)28u(c*T
z+}HSGvjfbwwRY11n0<d>lnvbTc0hYOtZWw2VF1&xU2bH8DbIh7(uda<DQ)TD4q5x+
z)9?l>4GxkoAJyxm4Ihi@ZJ~w}*w06wgpEUY2hqVLuUd3e;gPj_+#BF{S`Fv_->-pV
zqg1fLj%UK8zBYZ*_S&BVXs_*PbUp%0OuYX^fw=lld6C2Ln-$}XUx;^C*PrHwKkkUt
zC;60rjxun<U7n187h!(;=OTOI%`A!)%kUbt$`UDG)H_}n&cUr*FBwSvEc?e7rUh7r
zO{ZrEEVXK1Jp<=|e78ggSLesN&%)(WrsXtn-ukxP6L8O?sUA|kX-NuoPr*JHJZ`U{
z{7V@sygUS-2w5#B{g>9Mt-_;lz|CkcQeN(eQ|j%5H<&Odk@A$b&miUl+)-D2p7e(@
zvcD7Sf~gfHyh(ql<mc(Rcksbzmp`Qb_tBw8vJpO}^oN!7zrLy+UucHIj@%jQhcExq
zOMC`Tvpr@b<+qfu6&=a{@bSWMD?DA*Ut9xo9GLmr05{!xZ$t8vR1@n+fAF}kI(<1@
zdicOdCA>VV+ENKWDC*8Ehl82QFO|SCiYE1B{QlLJVy-f{uH&^5sUH@e4RgE)7baY=
z$b#ECeGWZ<xusKbNq@GkKs8eYEK@Gnng}m)W_L!x@lL_?<axQnd9c<4?z*@4FnONJ
zeQfabf=&H}m#@HXDUS<J!PL&ZOqb!<&{(U}u!5eIA$fjF7Cq9Hg14@1_a);A6uZOd
zWns$SmGxx&!~5`^-v{8IdbXp6@Y*h?$DD9YQKz^Pe7*WeW9xpj$HtS-%E4t63s+vj
zP93FVf-qhCJH2GMCGdR%slRAt?9NDp1)8YZ1mJ+aGe<n&dvW{nN&VAUHOa#jzE-a>
zPvV=T1I*9EM+7dsA#s)Cjk)LGOx?Ku*H5)&b8pGRDHl?fN&NGNF9R|#Ri;`3sgG7U
zclR~zL;JS<;$wO^B{49z6=sYz4<Pl?PK)~H4EUx`*c~z-tZDsX;9Yn`>*zF@4|ep;
zZig^<{fq6UIXLS}1$Q|7SbyQ>CwS{FekUKeoOgc#ssGVcyf}0Pp5U-`7=_(VthT$u
zRQHo2-^094(bq4-Im=VpeXyQR6Q2`2&B5$U>Z8qT|4q8UYj3PY$avmU;TvJLuz6w9
znHKny4Wptx{JC_Fu?fzfRh_ngFU##0e+DPycigdpDY|;ANd5G7w&2WJ_<H2#4`jaB
z;ZG0m>cdyr?9)nM7xQ5i9a#GM-P%0(rGVku8Thv2rhpuHayj(AIvjdk?oKAWesbMN
z3+|8ll6xCIRGRyhAGR3fdl>_N4%nR|2y;EYvHd2z_gQ2-6C7C6AruVX+5A(J1->KK
zB;y0WOusg?%#Qlkl^up;ym`0vOyV!tU3KrMBb?5~J2C@1SJ|&y!_BVOlV;&NBO%u;
z;6=aZqaWbHkiG{-@IS3RDMN7ffQ=0qZ}vVVakK~Ce55u^7q-Z`vC;=09yzUX8h-ur
zerhMILH{#c3077;x|QVXrX-wFfQu*3mbSx;9v>ZLVCna1mq`9G!!Tj;K0|tI>9!Ww
zdUD{jFuYmiN9#-YjMSk%0l0F{-W^qN{-Xa17rc+vpsfbJXvSB~0XtIIJC?zRUtRsc
z2G`uk;wgt&1Sd>bU>&VSrw1@=n|$C7_|Ey2L%Fa@-J;?)cuHbp#~t`Nt+oXXeDIa%
z^?R_ZZ_^AVT<fRtIu;iC$wB)U^JS@SxrZjemzuMqe!|Idp`F37lLyVi1$aTQAnZEK
zzrWMv8?2gFD&P;(Z;C4&gP&gcnnCifMVfewz$z-=6@B3Y-22Pl!lnv)p9I2sH<!FR
zVa{{=&U?XlKQy@&X1OQ0ljOhAJ8aYp|Drxp?h5;^e@Ux^3uP4!k$m%%c9U|rd+unv
z6Z}#{An+l4yI0{F$xr<HV`Bl#D<<7x2D?=1b7#R!nG)A8!v4FbeG=d?g+CO0a8aIq
zY9zeC{;gU7HjY)Fybj0Fz078SoBEzp1;T7LPfVEMzI!b<ec|Nn#GH+AC96__JM0*C
z#gqnCQT$KX88%=r$X(fs{?)Htr)}YD-m+%D;aI2nzKie|9frJ5u$z|a&kN*u*>7fF
z;B3A$|MT!UljnH@Fbdr}<b4bI*GcBXaI3wnxemN+7`UkyUgvKJBJW$Qo;g$351W>c
zsF3;DtHM$iZ(w^)E34!1p+_6px?v~k8@xwhm$6TEZSZN%?doK{cf(AnR|mXgB1uo?
zgX`PfVrzmQ^Vc0F^Tpr%I^WX*FV=mY=ZDMMWxVU)cp0}HT=0LBzlEQ}_B{9Bk@q_y
zXg>5*!3#P9KUiVC+*?t#uyLYk<!*RvubaqY__gEbe)7J@2Nk~Aa=2p)M;e*GUbkga
zbTQ1IP*h9i$4}N)o_GY;-25Cs=Et-5#LecybPXPvWWK#Sy+T$2%(K11g3Qm~dU^NB
z`>?|g#Sk*z|CZ#7^#|~d^so~@;OOtkS?Tb9!b~=Eu$t_#3z=|$unGSc_}&RdiX^z+
z{fovF9K-UYDg}1zkl8i?pYaU45C@mmwH_IS-8(s%Z^7fvtc&mAJO0a65%A%i`3&9g
zPm?IuXt<x1qK~|f5^ZYC9108B$E>`B_q8p&z5yTEsOC@J2a$Xc$?Odqh7Dwp_fsq%
zv3B~x*}LS;$@?as^FF$|!4=zc70CM{hIIzj&hWQ+nvLXrlc?=H#y0S+Sf|Mr*yqXZ
z2bOU4^UfS{{tG4-)h@tn{8`6$;QMqhHa9p1JBNLy+y-Clk^UzEKl##fmjia;+x$)t
zo{gumJOG<Ln!L;nJDQwqP=aS}Q4F%cfolFC3b1I%NWgY@+R9Ll+)u|m_MiB{hVpKM
z&l-6@$!myu_6uBhebx64Y?RJVJr2iz+Hou$wzp+2cn_!Uw67ueKl86mEwAAmIUj#=
z|NlAk!>$=Vt#w<j5q?(x;b%SUqjGPp0p6<BmR1R`ua-U~<xLJ-7GD{x^SnB+12*1x
z>vcX{!(MlE03O?7Ve|l2D0@Ni9{zj!?0OnJm{C7U%CiD~sS_#id`RQ{A=v39-)t<r
z+*@Wg3l|=m@rr=Ygg@r|1os{sWD9{C7qThmVcXnti>q+eN_O*CSb8;|+8d_ZbnC$q
zT)sW{lqZ~gA;IQ5%wK!?y93<G;D6#59BHN{eF<Kz^`l#Xb1W5y%waZG^G~GwUP@u&
zG=)DgnHH|XB`b8Tdhj8w{dTk{@AbFlojn8FFtZ+}hCN#D{8ED>zWvy|74FKlJAMMb
zOgH~}GaO%SHhC0|3vVvk2~Y9!@yo%yKkJ;g!>Wk~Iz{2*2jaAM!Qr<*G6};sM{e$9
zf+Gw@st&<-O7s_4;r7{k>s)X~z0Tv^ur+mR)?RpJXv~ENX6fB6!U9Lv_KK0`;jU8*
zz1v`wKtsH?fb#F`bqhK;_^{R!AvlfqD)k09<93tlQCQt}CgBe&j%Rp`WxvoKNSTyc
zf>}8CFRGFF&g0E<aI53y@)NM*9eKNHcv*qv45=T;t{yo$3_JDzWhC{3keMUnJuv45
zNk>1}_@<yzD;y=gQ`iT#8xi?f2h&^bxS0lPoE$w-3LEWGYRQ0QM|<yA!=Kd8>V1Z#
z1_Scb;N_pxduCu?$AnV}utVR~Cx77m1_=iuV7e|ruitQ)W<gUh%vcb^unqOmN21Y5
zzOdnU$=)q++VxyHH(2PX()H8uR?4>Dda%~9?vvVZ#M>_!+OYXXvFBudkGiv6g);nU
zYw?;r%oV4^papk0jWdw;#39G{ztZqp_qpB_xX-%bt}tBlkjsU%Ppm$by79tBW(lIC
zzbsB^V%Gt9d@75X^w<9>O7{4%2k*<NeC=m}1Jd5_{tAnxD7%sN=8ljpvy-sZiBNGe
z9w5|xDtZv6-_&13+OzTOJF?%xTIP3VNqbkXu8raY%pdURC20@$6}g<~gX1$lhLirN
zJv*vqU&A5Jo4LvONT*m@Z8NMeDm!BW*Z-U{eFmG{S7^3^nGasgu7R1YT*65I)a|3M
z)XU)eZ(Xe}!H<4g#FW7LAMYL_<1cLv#bUXz-fG4sXE>`;+2;Yg<6=iEY47V^k7iGY
zL-#jllm4oCGmeWXu=3!d4e9R^33H^0gC!JZR7rnT^3s}CH2hDSiS{z=;HL5YI_z{|
z<44k8mErtBG6Ytv6V4<3T@)v|2Yq2lkG-L!zv^F4=>cz8{;}s~f7t1!x}6Oi7GwA+
z1XeEUd1wjOIfNCEe65=Y{<{FDez&=C174EPPd0#^551tj2H*dyFs=qycc;yU!#t`l
zc}~Dm2EUv_Nxq4xvjqHyzg;T|){~!pA_{X+@^_K*9ew2Y?;z~Fy8MvzpZRi7DDQ`#
zW^uccd|6Y?nO*P`l{xKO@L7x3hne6;hEwlIzR~zaPb%1OU~B1Z*uZD1h63KVe$<`h
z->(%i{k0qa-{$foq`yZvm3MX#zDO~#K*sl|Wjv#2VOf>r&Kx*1aPHj<tQ6H0OZtm`
zU6%D8g@=4DJCXh*Pwhv~hG3>$_l5J}Gk5-(_rRWoI@=z><<zdZUGQ+K?_1Iz#Z*$K
z*#=W7wMW##5l1rm8sP_&OQ)(~Z?UhwwXg%zZ2{8%6|bS+Pz7u7KAR)`Uu(HJmXF|1
z6GrV#FzxB>1;y|tjo_#k@X97r?QGbuc&|O_U;BQnIpID$V52113LBqdmQIBQJ>GBb
zgio>f_$R?#LH|11Vd;RjgE26*R7?Ts@7w<YD@noIJ3kyD`Q}CKC4R7KfhBz}teGyb
z><z2Lm&U$@?b_Op+QMOp5>EZFo;H7o6}<Dp;AL_=?L%uO6}Ue5zq90cnzzjcim<1M
zwKDm>gN5_n#j)W2AI?2MzArJcJ$qtcgSQKO<oj=X$XehC@3_Z9L%#nr+L7~@;6kRZ
z2y%S#wk^_z@cyk7cI0>#Wj}v?xcJ&R0g~UHU2{+ej^w#YTLz!Q@_t(IrSCnjN?->b
z+bt?^wfvvl3i!{J|8;cV@l^eP9Kg+tQbLHzURfa{m5l6=qB1KZ%81C<$SRVRT?kp3
z6-6YYjHs+agvyFSDkRGKy*|G`pO4r3o_p@O_qykN?)83mA60`V%#ALP^+nfM)&(Wl
z|6-gVIo{8|j|9rW_NPZDp2Jrx1q8)mwse<mldw{gS`!x>TOodY8g4%Dk4FIBGvm^-
z0pHJ`>)?{-gqubbX&K;4ksYzT@Fh#F(Jk=nO-#Kz;i!BzUKUuH>$!|DJise6zyn{b
zk**>2YZ@Ck`C$$AAr3M4wmRDa`TY}*;#MnCuURuAD-N5C)IF7gjU86D$ifzp-&e{0
zMkx*$?1d*olg;+R=eI7>sl&cLU&ly&dDWmM`F)c4i`YYouoVZ#H}d<7On3D;Zn)^o
z_9F883#sEdw^-p@Ki5_7z*85K?Ki^X;VV=r@am&w25MNFy*1?lEYa2T;U7D$2PhjX
zis6@@%Kme(ubpLQGhBauAoeT#jz>SP30`v3kRO6QcGuAi!+-Qjb$a08C%Mg}f7Sbn
z9W$+P&_2VUX?V!*g;z6t@3xHkB)spi6n7o`ud!p9^v7z}YR-KMkNkdEOZsEoc9PdE
zg)iwvGI5}v7VDmWnc3v_Z_ad*{##FKT{KgPTc~&xVM_avv?$o&cKa~t2X@WEOf3YS
zOA4&r4-Yj^Tn~ozwJVno!b-2gM#ACFX09is-`JqSn+v2q)5vU|^dsAK!?2lbPvOe5
z`=nnPn_#d}7##3%eTwum+gDFj90O0wmA2Ty!b3?vN&T&<zqAgpN!vF4B>44A(J1MU
zcGV*{CLSL6x5VoPmzVNSll^ZiELtV~)pm~DmrjOtm{#}uz{aj(k(uy<LkVXP{9B}?
zGadfOx8dYfSe$mZcpj`KS|vyNyV2<sU(A71l-Mps!pfL?S`0s$YB41J;f&O>wiLpC
z#v;*)ux}lw(<4~5Wbi!cFW1Z(SMm@Jc0N>)4o?hk*jNcK7UrKVh7HB16G;7Y6_(5g
zu=HW;pH*;{sJB@)+*d8@T@KGBPTsDCFYxAc*T90}2F9)M@s|#kWP7WwFJs!__{;Ar
zpTj@@c{%sMGq+_{Nd0Do6-m;6@8@(=CfS}}tI5|PIAFw6tORBn=q>mJ3&%5bkjH;>
z%s=!CeA?cMB^OT7TGtwdFS^cE+<|ldW(iEfR^1xQ<oHTG;vXmd06X{g-;IS|G1b@4
zz&_%lU!viz?P}Mi;iKcVH$q_w-oevzaFq*V`&Bq9$eiyNJQtYh?h9uzh77F2b!syI
zJmJ?W6lu$FTIs6{XIR*Mrzz=o__NeN!~y>8eT$tAzI0`x)f#4e$1~3a3%(a*wuGG}
zlgmlJ#EpMz%a6n7EizrU!%-Hp2XP{<8XCDxngeG2*fydGo7?#NlYWn-iBA=jV7Cgk
z8qyE)<r-(aDjcCmeOVWt-(|(MA8xS8D$|EUd!Aj^fIrxB#*%)M#pS(Kq~31)SqJGy
zN&QTAn=V`zCtGX*I|=BSX~B8t`zNj72=Cl-vOfpwjhjh-OL?ctC4D&f=L(Gj%)-oU
zVgjF-yFB6ouSM=kHirLt3GuqYDM6R#&0rd#yDMIBQ)r;#Ntlu1_<kRl`%O>$X?Xgh
z=I`t970-`c<}gnTg<Lo+M<eZJ1JBg@Y$5$UoeCwMk^1mvCBt~Q?}q<2M>s;>!L$K3
zaiX0i`%{#Ei=Ff*{jaDx=?JVNMmbOV(|XmU_mjtK^-H?E38peJ2~dN@-Tygv!S}?N
zHynV&HwjC<g%@|eDw2ciHeP4!gR@4me(Zs{R!UoY;FD7338L^~?xuo4m@Y)7PYAZA
zwcSnX5AkR7ZiChPDmRe+td^U-?O0$V?Xeb8KX`f%10y`uAeTD|Q+}p4po6RVBZW!*
z%TUi-f41TIZt0;S{a!6owFc(l%qvo%!|+gQg}@jbtml4~^oJeO409NU-*BzvlKi>u
z1Jf4RI8HH`<cTr<DNV4CO?wl`JrXm+is8oK)l8DJUv_IPfW4ya1;*f_&Ox?hct`Ke
z^-1`JR?(>>SU~Y_Fxj8wziinduuLJh^>;XwZge~tjy!#1m~796^@y}P%)FdaL;BfT
zS8{l`!aTPI{7HT0^EQriaK_-Q**sjmkYr&CH@Av#&%#Ge=u=q0hpUwr7vb<-EQe3Q
z5fpAuNk3iZzLsxBFnwx3;tJd*6D45)pUa(OUxLL87B3%wuR6@mt-<su&#LypDH0;(
zr2gs&H)|QVF=clwHTso@_V3A-g4=U$v8*F!GE1A@2^T0Q{Gdf1f5}3c8%_&+T|(;9
z_HONAf#Y7(M>4|t!|fc*@FVlZBlK|YziTygaI@yL=oUCgNri$Ip89*DnABIe7wP_H
z!}`GH!(m%tZY|sBS@;a+V+JO;rLUuR80J5jJkAO~R=>{m8Rn~?cO=_;D=}-^4!7_6
zra}6#Yf0tjzk!vy&6~;g-nng^t%3*b<+3@6>6`af!VDBHwxs@;gkS$d*gTh&oAiG#
z+WhfMAzZ*XWF`y;jSAL0g5U0VEH4Sm3U;oOdY22w%VglWI?IaZaCp90j1t@zO8Kt_
z{&;h}T^W9UM9cIgT;kPRs0QyzpGa<iJ({CLv|xr^&PLs^bpJVO1Gr#*L&94)Urk%x
z2u^sQ{o@0?d7W?93HaHj&oaI6$=VH8r(kLJozdiY3{+OLorBL`KFHP&%O1%;?g&%7
z@wqqxYljC*UxZoTP?wQ<PY-ujcUaO@W%E}!wQz;<I$TuV^nv6|Qwyp$VE4PrawI=7
znzNJy%S3*EMz+_xl%tpoQ`PgbPr<PRvDWo4_0!ZMa{sSdveFx27Lix9qi`yvo6j3K
zsYXzD2;QG)sr(9FGG3Y?kEf6Mg^DQVF)T0Lzf%eedq=Jd!IQi<RSV#|8J~1@;8tt(
z*i`tnMFyi5%seY19}n-K$;=@0EmD+{yS-ppt))*<@E`92sX%z8QJ1;`K5|C&g)7WE
z_*nfZOwq5){U2PZ{?1_pKAUy={yDfzN<V)LK5)#2?jkH7pwPAn^F|z27H(U^?JD&f
zx4;L-XXi+L|NCQKHDOm44SHi(@xr{Y4qPjyU~2}`E3aQ9^W3dJvX<(@-TV(r$h`Mo
z(v%xbV7k$MwP5%*O>`H@Kk>u|UxS~fdr6X9>!qnu9Gs=%^w<y%{=nv)0MGLsV>$_6
z7wnbFf-lS|#FP6MVM=o)^Jk`cxM#@yhq$lk7QydMg-Mh8nUd!4`|#fP=Oa$TPijT%
z%ixUL@7gR$Zu}>g%)1%0c`RZNb2FR@s)0KnZo6Ou^Uv>oQ3ubw`rUK^etbOo&P&)j
z<2aoo9Gze{*aDxTld*AwebQShI$*7Hk-09gq+HIQxA68|4(pd;kBJRkeQ?BvS~U-N
z{oTY?GH*<p>2{hQoFb(^GYoSFe*5eVQ@Ke?j=_mNFZKn)KQ1TIlX+%qolI8(;8tIU
z8$V!P=Vvl8@SVa=+XYzpJEdn7%<fW`vj`8#_I4z~;+i6XYq0x)?OVy~>4@Q$bu#~b
z<XLTVHhj>?Z{Yv)+;x}fGvUcZPp(bKM}t~z$?KEz(8vM{9Ggs&cMq;O^7%3cEb}+h
zq5^)xV`xm~z4<2fq?f^)uAh9z57#I=A8&&DgWud2gHtV1lj>n=wP6V<_>!iieixi#
ze}Y~f9-A_a?t~rmqh9TYJ0*+Kzrj|V^ttNr_hW5C<M4R}WkGHDm$OOIA6QVLYTW>i
zWq0qJhfn1!1|EYqUj7|LgTKe`>U}KCV4<9ios_U~&3EoIaBrf{5Em?P&2y2=#|uz5
z<Ku*_!qzLv{5*$k(K6)oBjQg~f+w7)e%ph5ess|6G4X?Q{?uR7hD~-fN?(N!=e&G*
z7~aiC;~ovajW>!UpNH1NSx3lxz{PUCb|<*ZRf+XE{7aAd201^-+v}wG6!r}h)nbAj
zKXLA>hvVjJOQqoB?T4(M!6se3t}-xl@s7`Ao_RqSkDxm2*K~l2-2V2O!suam!SZG!
z$qzE~&sh=k-1}My+X(I}Jp<=AuNRP<QJ(LG4=f<Z)K2nq6N&*>;7pO}4l*B|&!F}j
zxn7B@{XSO(H)i(ak?R>szR$lK;F~7Lw>H44!`+-Uu&<s|XA|uDe0BH}e7^efE_Ga=
z9t@JKCG#DbeGJbWg7X4ao5=jgg#zZgIk3Tb-7GSX{C!3La3(z5nj=K!RR$R`Q*^_u
z!z+|zp5?x_PPMo2DJQ)qK6v1lwecieEn1i<3Xe^5Buv1c?Ns?C;q*H@bQWQ4{p>Y4
zn1}0a_-}aZi)N4#9K-Zhg%;~2hQEs}55W;z0)nXE12k9D)nHS~l>tWhapkL)3ouoD
zz1=_DemQUSx+7frT$gbUX6{zDy$B2C4C()b)3%%NyTG@^9B0Y?giQY(@P+$xBRxl8
z4F={^Z`de&8&^NPv&70P5EkUivFL?G1wG{bVM}XC$__Z?Qq9&7*eU#}dMiAy^6qUg
zY|o?dtpQ$_XMb=5F8S0d_5yxrqAE`6vp0`;mcS=H1Lz`QH+#p5`|#uDgl1CjNHK4b
z3sc9mXUD*vQ~#xB!DULLXQN@U&r}*IaA_fjN+RrM5gKv}t|<~<jf21EGw;3$J2hGM
zC&M96W1S-5_#>ewNxj91{0d)~GNwfC4(z`!wDcd$%ic6c>OUQQlztI5pq%Qs3+qHn
z4mrb}L#xs0u)Shch#g$(!E+%O=BATtJ`3L~loiW{e=<CGGK0+~jA#qt-_8mTPQdp)
zY?|`mpjQpY3}G=dzsv`4Z=GVIKK$)q^yy-l)1zsh2CUGQwf`~Pu%h6n3fs|_{VRd1
z8Jc*>`qZ^UjlC6crSM)Gd04o+JE<H#7gbLu3GXNya<3-!2c&g(!*Urv_mKIyyOwKy
z@WFH<i<@4+ohqVxc;MUTH?-Bl<E9nw*<rmq3<XW_4+$O)HrQ02)1d*bN_$X4)_Z2Q
zaA>@S`RLfz=wWY4Au2M@H?1=}hXVc^!t=Quwrk%ozKZuBU57+^D;)D9DPjTk_{Z<l
z1y=<wwvzQA`a9A}Z{eiB*WIV!b8dWWeX!uJiN{~zYmSoLJ#gu-%csctQ11j+$sn9t
z(3SEL4pb0!?T0^i+Z^hF+pM<e4Z{a{YJ=Xv)U;d-WL~jwj)CxN*zo<@moM<o;Cl{a
z{fM)NK6exjwpL&w>qqtmlYx_P?b}GhYPcz9PUS1SM7#6%V|aUW2iFfcXQP`uSx?&H
z+1Eb}N2X8?=ELrXN}kNY_hgUlxCc{dR(k$|mA8MXPlGR2MI2p(TQp^<$$CvTd;FFK
zm^QSjAPyGUdv<ymrq^Vix(RQ(>~@~iE56z*A3$8Aq`3w!@CJJM!HsuSX;$EIyRADs
z;E@=bVJggj<~266a)W0wme0}=v&gcL^{TashJ$22H1k!@<79h`!HogTu>HX22iIZi
z$-mhQaOK5x=Wy7iXWgFU-B$+vvf-Esi3pNQmZm6^$LI59zX8b$t9x|G@iWal?N0Jd
z(ed>4@ctf`c_#RPs%<TKKJ2O@ILQ9k6!Bak&)30|c>^R5dwL>r2A&<STH63uykOD$
z1rOc&Tu*YVb}cgoyuN5Uzm1bT*@KF66U>{yUP$t`067sMIL(uzo#d>IKgLDiRei%)
zl8?6Sz*l$pKDAe~oa9O+eP!hR)_TWPVI%yi;;y3!e8uRrISu?t#!Q5)FXvo}_(%^|
z$MJr2fNPW99ub87I(Lp(!ZO=SH}b<mk#*O}?Zd*JeHDdeHU6|1!}&HTdBSk=$=fcv
zu&dL(IUP8}I<Ra%ta8`qkrqrlB4|d|o10Z^H7#I;uJ9e=@bnuQ8Z%hrsZ0Yu{QV?#
zvI{)>)Hjr@KVLo2cESm^pb`>iflo5u-RuJ^25LPZ$A`P!uH6eR6P`Op17~T7hlapA
zztX*5!|~1eFr#r5e)7HC_YX|{u9YVoPRp;Zo`(&u8mE)`=*n$$WAIXrs81y9wvk(B
z7~Wi7`sX_A@8OxyNxUA^6%C&{<K5E+CpdO*CiB|k{I9$$gB`6>r$~;0pc@{+OC@Iu
z$@Xs4iQg}PA1bG}llxnf6mcT!jVfOpqsacfka@>U)+5*YcRP~(%W3H~CZGRj%Nxc?
zeSi1vbh3V$+wEUZwpU3d{h6$v`qAhGk$Uls{nyBPY;o-q#oMs=u727;c&<6%Pa-@U
z5>o61kDrn5x&zyt5Bg5tPXY~#u_<trs6@OIEJ>T|oC)V;3U!n9AkIpPLXxwLiZmI)
zR=GJLB#&6)r8R&DmzAl~V0K@xqh!5jkfrZaHk>5p8n+KV>!8X-@)yp|S9#%=qTLH5
zzw^wtaVIRBz5hZKT>occ{~MgImBg26CcxtK<5$RfOW|&h#+&dbXNgx8aJv%4H*&oD
zk4l79!JD+l^Fm4fuU+C1thjoqH2_|4cs*SP^JQr3`ohM=^olvK`DD3ZFx;xM#XA#L
z756<$a(}7sj$!auE4J$%@SfmNkqG$t!`TLB_`~4}PO|=@y=Ig_@?VsVX5@VHX}YGB
zJ6x7xy>1V;+`6me4F^m)s*?4W7R$&AQtz=VGx8WLYojnowkO<}pl1s23zJE`0QZ<k
z{yGAe@BLI~3s+s;Q9{;ZTxe%}PQj7<Ow&Se*Wg~$({SHr0SN(k>+F$ulAENA>|liP
zMT`r{>jf6A$a)D+#ocLh*e-~tket6;+VnM_g`elhO_B5W8!aQDq+YqFC1x5vm!@@q
zy#I#Ze%(3&OEA2dC)+<8w)G3SUZ&nR)<NpcBZP#KVR3(r))TPSRoiNEy^JR&&k7C~
z^<E*@U&lvs$4DNP#y?{YcTE=5k$h%YLFyFAi#_%og^NoAw+O@U(gLh?;iCrj9ip)O
zxAz|p!(seh+d1J{iZ7HZu%E_>4_t8dJ?)@<@J$OF0Y+FYX0L@RJa#z5jt&;McaDqH
zuODM%TxZ4kj*`&=*&g#-G5r-dGcTxI9Zpjy{WTB&_r)%T+`qeayUZ;7RqGX#CY-@J
zaAg>#D82VhAGT;%sQm;7vZx7@oO|W^!zP$UbQ|Rnctj)nXFVJ>9~7t!n_RfB{0R2k
zYiMo=Q|mYTJ%lr@Lbj87oiqA;d9b7vTc;WPv(GCh6An79ee)z-rnjn-42$k!JZ}v@
z9N8R^1V4L}mq+sN2eN#x!0bEE1e5%a`{QaKSjay~)e@#Tpmf$99*)=JCa<rrG}_r{
z1gg5E7dUVRHWX>sJ_m2#xaWxjOc&CB!xmQIw)3=yyVg!iS-?KqtHsFc`LU~8sVV%6
z>iai0_>b0-sR6u2Exz$TSjc?kmL8mOwc+YzxH%%^fI7U#$<FEu+$D3}{}BA1CUFOO
z|8+jwET9N~x-GL91ix5dvfB%1ho7kkfI0haF-X8&l5tK^a42<jq%h3zw`O+)d`g`|
zW)~cLcw~tD{Sz*yEaQX^Pcqz1f-fD7KE(_RcHHtIe~%v61*9;+G_7??sj#sb;~`qu
z*<7173-+V@8%PEFm$-Iiz}|+TLjPE>empsM{~nwW;eKure#@mUPU@XSBOXn_PlKM*
z7Qm^io^xX`Q|bW?lDAEAjJ<)+KPcTvayct1{HFlUZ$BtlkUUZ|o2>-in35$=a-ow^
zruX53L+fQZ@DHub%scQC3EP`RaQf_xkz}}jVWE}e2_FQz0^!iuqj@C%kB^DfAAWJ+
z`xwbD(&SOw!N<!E){#7PI{NTgI4@&#ndDw?1mtyK{-oW#B(F8v=%opJ#(iMTg;REC
zoRffm%X9o7`DVk=d@)#3qeGnJErQ#Unc?On>J7!P)5P)zCRnIDI3y2F=Aji_-HP7}
zA1k$f0Gs+w+5LlsRz1>4zRSqVbOcV_o#I9EO*$60KEqrS_T?mx<ot5|CH%8K_$JA-
WN?x@zz!uUi2IT&v_4Qqz!T$r7BpqJ>

literal 0
HcmV?d00001

diff --git a/Workyard/Shapefiles/07DA001_basin.shx b/Workyard/Shapefiles/07DA001_basin.shx
new file mode 100644
index 0000000000000000000000000000000000000000..bf59e75f461832991d827b738093ce5fb88ac825
GIT binary patch
literal 108
zcmZQzQ0HR64$NLKGcd3M<)VMbPs}_Ld%*jTvR|TrmxF$z;Hre1Q3p2uea^G?vyTII
M?I@x~3_Ljr0P6e_FaQ7m

literal 0
HcmV?d00001


From 46c7dd74f61d2b19cd8e907fc65ab840453f81da Mon Sep 17 00:00:00 2001
From: Maxime <mxdebekker@gmail.com>
Date: Fri, 29 May 2026 13:19:52 +0200
Subject: [PATCH 06/24] CMIP Forcing generation

---
 Workyard/CMIP6_Forcings_Generation.ipynb | 758 +++++++++++++++++++++++
 1 file changed, 758 insertions(+)
 create mode 100644 Workyard/CMIP6_Forcings_Generation.ipynb

diff --git a/Workyard/CMIP6_Forcings_Generation.ipynb b/Workyard/CMIP6_Forcings_Generation.ipynb
new file mode 100644
index 00000000..2fe6549a
--- /dev/null
+++ b/Workyard/CMIP6_Forcings_Generation.ipynb
@@ -0,0 +1,758 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "e91181a8-c60f-456f-80cc-3923bf7c6a43",
+   "metadata": {},
+   "source": [
+    "# CMIP6 Data generation & merging \n",
+    "\n",
+    "CMIP6 data will be generated from 1995-2014, loaded and merged into one file\n",
+    "\n",
+    "**Note: Depending on if you want to run historical, or an ssp, changes you need to make are:**\n",
+    "1. Cell 5: Select scenario\n",
+    "2. Cell 6: Define period"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "680410be-715a-4678-a4e3-c1141939241e",
+   "metadata": {},
+   "source": [
+    "## Start-up"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "7ef3318e-968e-418e-bf4c-a8936aade9a5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# general python\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\", category=UserWarning)\n",
+    "\n",
+    "import numpy as np\n",
+    "from pathlib import Path\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import xarray as xr\n",
+    "\n",
+    "#niceties\n",
+    "from rich import print\n",
+    "\n",
+    "import yaml"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "f7ff029b-ee4b-4fe2-b5d5-bf768b626989",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General eWaterCycle\n",
+    "import ewatercycle\n",
+    "import ewatercycle.models\n",
+    "import ewatercycle.forcing"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "df3c38b4-7757-475c-a670-e7a06cc53955",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Choose what you want to run:\n",
+    "\n",
+    "Scenario = \"historical\"    # Options: historical, ssp119, ssp126, ssp245, ssp,370, ssp585"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "74c8c15e-8cab-4e1a-b6eb-c9c165d8c051",
+   "metadata": {},
+   "source": [
+    "### Define range & forcing paths"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "b2343410-2713-4089-ae42-dad37b457c41",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6-1995-1999</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/\u001b[0m\u001b[95mCMIP6-1995-1999\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2000</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1;36m2000\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2014</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1;36m2014\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Defining period range\n",
+    "\n",
+    "# For CMIP trial:\n",
+    "periods = [\n",
+    "    [1995, 2000, 2005, 2010],\n",
+    "    [1999, 2004, 2009, 2014]\n",
+    "]\n",
+    "\n",
+    "folder_names = []\n",
+    "forcing_paths = {}\n",
+    "\n",
+    "# Generate file names & paths\n",
+    "for i in range(len(periods[0])):\n",
+    "    start_year = periods[0][i]\n",
+    "    end_year = periods[1][i]\n",
+    "    \n",
+    "    folder_name = f'CMIP6-{start_year}-{end_year}'                        \n",
+    "    forcing_path = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / Scenario / folder_name\n",
+    "    # forcing_path = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / \"SSP\" / folder_name\n",
+    "    # forcing_path = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / \"SSP\" / folder_name\n",
+    "    # forcing_path = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / \"SSP\" / folder_name\n",
+    "    # forcing_path = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"forcings\" / folder_name\n",
+    "\n",
+    "    folder_names.append(folder_name)\n",
+    "    forcing_paths[folder_name] = forcing_path\n",
+    "\n",
+    "    forcing_path.mkdir(exist_ok=True, parents=True)\n",
+    "\n",
+    "# Call path test\n",
+    "print(forcing_paths[folder_names[0]])\n",
+    "\n",
+    "print(periods[0][1])\n",
+    "\n",
+    "print(periods[1][-1])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "619dd21a-0646-4bae-a71b-935f1fca8c04",
+   "metadata": {},
+   "source": [
+    "### Generate CMIP6 data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "cbc7b2b6-88ee-4e7f-b37c-39eaf878c075",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Skipping CMIP6-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1995</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1999</span> because the folder is not empty.\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Skipping CMIP6-\u001b[1;36m1995\u001b[0m-\u001b[1;36m1999\u001b[0m because the folder is not empty.\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Skipping CMIP6-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2000</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2004</span> because the folder is not empty.\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Skipping CMIP6-\u001b[1;36m2000\u001b[0m-\u001b[1;36m2004\u001b[0m because the folder is not empty.\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Skipping CMIP6-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2005</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2009</span> because the folder is not empty.\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Skipping CMIP6-\u001b[1;36m2005\u001b[0m-\u001b[1;36m2009\u001b[0m because the folder is not empty.\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Skipping CMIP6-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2010</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2014</span> because the folder is not empty.\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Skipping CMIP6-\u001b[1;36m2010\u001b[0m-\u001b[1;36m2014\u001b[0m because the folder is not empty.\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Shapefile path\n",
+    "shape_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "# shape_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\"\n",
+    "\n",
+    "# Choose CMIP6 dataset\n",
+    "CMIP_dataset = {'dataset': 'MPI-ESM1-2-HR', 'project': 'CMIP6', 'grid' : 'gn', 'exp': Scenario, 'ensemble': 'r1i1p1f1'}\n",
+    "\n",
+    "\n",
+    "# Generate forcing data\n",
+    "# for i in range(1):\n",
+    "for i in range(len(folder_names)):\n",
+    "    # Change start year to start time so ERA5 can interpret it\n",
+    "    start_time_CMIP = f'{periods[0][i]}-01-01T00:00:00Z'\n",
+    "    end_time_CMIP = f'{periods[1][i]}-12-31T00:00:00Z'\n",
+    "\n",
+    "    # Skip if folder is not empty to prevent errors\n",
+    "    if any(forcing_paths[folder_names[i]].iterdir()):\n",
+    "        print(f\"Skipping {folder_names[i]} because the folder is not empty.\")\n",
+    "        continue\n",
+    "\n",
+    "    # Load forcings\n",
+    "    CMIP_forcing = ewatercycle.forcing.sources['LumpedMakkinkForcing'].generate(\n",
+    "        dataset=CMIP_dataset,\n",
+    "        start_time=start_time_CMIP,\n",
+    "        end_time=end_time_CMIP,\n",
+    "        shape=shape_file,\n",
+    "        directory=forcing_paths[folder_names[i]]\n",
+    "    )\n",
+    "\n",
+    "    # I need info because my patience is limited\n",
+    "    print(f\"Finished {folder_names[i]}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "91242ae4-3d21-4d18-815f-5cc986d5961e",
+   "metadata": {},
+   "source": [
+    "### Load CMIP6 data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "f8e8ac64-fee5-4602-a1f1-90b8fb14c2b2",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">[</span><span style=\"color: #008000; text-decoration-color: #008000\">'CMIP6-1995-1999'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'CMIP6-2000-2004'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'CMIP6-2005-2009'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'CMIP6-2010-2014'</span><span style=\"font-weight: bold\">]</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1m[\u001b[0m\u001b[32m'CMIP6-1995-1999'\u001b[0m, \u001b[32m'CMIP6-2000-2004'\u001b[0m, \u001b[32m'CMIP6-2005-2009'\u001b[0m, \u001b[32m'CMIP6-2010-2014'\u001b[0m\u001b[1m]\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "LumpedMakkinkForcing(start_time='1995-01-01T00:00:00Z', end_time='1999-12-31T00:00:00Z', directory=PosixPath('/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-1995-1999/work/diagnostic/script'), shape=PosixPath('/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-1995-1999/work/diagnostic/script/07DA001_basin.shp'), filenames={'pr': 'CMIP6_MPI-ESM1-2-HR_day_historical_r1i1p1f1_pr_gn_1995-1999.nc', 'tas': 'CMIP6_MPI-ESM1-2-HR_day_historical_r1i1p1f1_tas_gn_1995-1999.nc', 'rsds': 'CMIP6_MPI-ESM1-2-HR_day_historical_r1i1p1f1_rsds_gn_1995-1999.nc', 'evspsblpot': 'Derived_Makkink_evspsblpot.nc'})"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "CMIP_forcings = {}\n",
+    "\n",
+    "for i in range(len(folder_names)):\n",
+    "    # Create new path to find relevant files in the folder\n",
+    "    directory_new = forcing_paths[folder_names[i]] / \"work\" / \"diagnostic\" / \"script\"\n",
+    "    \n",
+    "    # Load forcings\n",
+    "    CMIP_forcings[folder_names[i]] = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=directory_new)\n",
+    "\n",
+    "# Test to see if it works\n",
+    "print(folder_names)\n",
+    "CMIP_forcings[folder_names[0]]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c8eddb25-06e3-4702-87e8-258aeda27a15",
+   "metadata": {},
+   "source": [
+    "### Merge CMIP6 data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "1cb12aa2-4b4c-4108-a5c9-2d8156cdecfe",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Function to seperate files based on file names and combine same file names from different folders\n",
+    "def combine_variable(var_name):\n",
+    "    datasets = []\n",
+    "\n",
+    "    for i in range(len(folder_names)):\n",
+    "\n",
+    "        if var_name == \"evspsblpot\":\n",
+    "            file_name = \"Derived_Makkink_evspsblpot.nc\"\n",
+    "        else:\n",
+    "            file_name = f\"CMIP6_MPI-ESM1-2-HR_day_{Scenario}_r1i1p1f1_{var_name}_gn_{periods[0][i]}-{periods[1][i]}.nc\"\n",
+    "\n",
+    "        directory = forcing_paths[folder_names[i]] / \"work\" / \"diagnostic\" / \"script\" / file_name\n",
+    "\n",
+    "        print(f\"Loading {directory}\")\n",
+    "\n",
+    "        datasets.append(xr.open_dataset(directory))\n",
+    "\n",
+    "    combined = xr.concat(datasets, dim=\"time\")\n",
+    "    return combined"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "b21fe2e4-478a-4e0b-9f1f-a40316e22018",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-1995-1999/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">HR_day_historical_r1i1p1f1_pr_gn_1995-1999.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-1995-1999/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-\u001b[0m\n",
+       "\u001b[95mHR_day_historical_r1i1p1f1_pr_gn_1995-1999.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-2000-2004/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">HR_day_historical_r1i1p1f1_pr_gn_2000-2004.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-2000-2004/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-\u001b[0m\n",
+       "\u001b[95mHR_day_historical_r1i1p1f1_pr_gn_2000-2004.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-2005-2009/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">HR_day_historical_r1i1p1f1_pr_gn_2005-2009.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-2005-2009/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-\u001b[0m\n",
+       "\u001b[95mHR_day_historical_r1i1p1f1_pr_gn_2005-2009.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-2010-2014/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">HR_day_historical_r1i1p1f1_pr_gn_2010-2014.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-2010-2014/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-\u001b[0m\n",
+       "\u001b[95mHR_day_historical_r1i1p1f1_pr_gn_2010-2014.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-1995-1999/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">HR_day_historical_r1i1p1f1_tas_gn_1995-1999.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-1995-1999/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-\u001b[0m\n",
+       "\u001b[95mHR_day_historical_r1i1p1f1_tas_gn_1995-1999.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-2000-2004/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">HR_day_historical_r1i1p1f1_tas_gn_2000-2004.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-2000-2004/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-\u001b[0m\n",
+       "\u001b[95mHR_day_historical_r1i1p1f1_tas_gn_2000-2004.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-2005-2009/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">HR_day_historical_r1i1p1f1_tas_gn_2005-2009.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-2005-2009/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-\u001b[0m\n",
+       "\u001b[95mHR_day_historical_r1i1p1f1_tas_gn_2005-2009.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-2010-2014/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">HR_day_historical_r1i1p1f1_tas_gn_2010-2014.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-2010-2014/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-\u001b[0m\n",
+       "\u001b[95mHR_day_historical_r1i1p1f1_tas_gn_2010-2014.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-1995-1999/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">HR_day_historical_r1i1p1f1_rsds_gn_1995-1999.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-1995-1999/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-\u001b[0m\n",
+       "\u001b[95mHR_day_historical_r1i1p1f1_rsds_gn_1995-1999.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-2000-2004/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">HR_day_historical_r1i1p1f1_rsds_gn_2000-2004.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-2000-2004/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-\u001b[0m\n",
+       "\u001b[95mHR_day_historical_r1i1p1f1_rsds_gn_2000-2004.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-2005-2009/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">HR_day_historical_r1i1p1f1_rsds_gn_2005-2009.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-2005-2009/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-\u001b[0m\n",
+       "\u001b[95mHR_day_historical_r1i1p1f1_rsds_gn_2005-2009.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-2010-2014/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">HR_day_historical_r1i1p1f1_rsds_gn_2010-2014.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-2010-2014/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-\u001b[0m\n",
+       "\u001b[95mHR_day_historical_r1i1p1f1_rsds_gn_2010-2014.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-1995-1999/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_e</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">vspsblpot.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-1995-1999/work/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_e\u001b[0m\n",
+       "\u001b[95mvspsblpot.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-2000-2004/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_e</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">vspsblpot.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-2000-2004/work/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_e\u001b[0m\n",
+       "\u001b[95mvspsblpot.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-2005-2009/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_e</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">vspsblpot.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-2005-2009/work/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_e\u001b[0m\n",
+       "\u001b[95mvspsblpot.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-2010-2014/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_e</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">vspsblpot.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-2010-2014/work/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_e\u001b[0m\n",
+       "\u001b[95mvspsblpot.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Running function for various file name types\n",
+    "combined_variables = {}\n",
+    "var_names = [\"pr\", \"tas\", \"rsds\", \"evspsblpot\"]\n",
+    "\n",
+    "combined_path = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / Scenario / f'CMIP6-{periods[0][0]}-{periods[1][-1]}'\n",
+    "# combined_path = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"forcings\" / f'ERA5-{periods[0][0]}-{periods[1][-1]}'\n",
+    "combined_path.mkdir(parents=True, exist_ok=True)\n",
+    "\n",
+    "for i in range(len(var_names)):\n",
+    "    combined_variables[var_names[i]] = combine_variable(var_names[i])\n",
+    "    combined_variables[var_names[i]].to_netcdf(combined_path / f'combined_ERA5_{periods[0][0]}_{periods[1][-1]}_{var_names[i]}.nc')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a439e818-0aa8-4e92-a189-fde70016a911",
+   "metadata": {},
+   "source": [
+    "### Create YAML file"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "e60b3316-e100-4af9-a36d-fad721ef6e02",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create yaml\n",
+    "forcing_yaml = {\n",
+    "    \"start_time\": f\"{periods[0][0]}-01-01T00:00:00Z\",\n",
+    "    \"end_time\": f\"{periods[1][-1]}-12-31T00:00:00Z\",\n",
+    "    \"shape\": str(shape_file),\n",
+    "    \"filenames\": {\n",
+    "        \"pr\": f\"combined_CMIP6_{periods[0][0]}_{periods[1][-1]}_pr.nc\",\n",
+    "        \"tas\": f\"combined_CMIP6_{periods[0][0]}_{periods[1][-1]}_tas.nc\",\n",
+    "        \"rsds\": f\"combined_CMIP6_{periods[0][0]}_{periods[1][-1]}_rsds.nc\",\n",
+    "        \"evspsblpot\": f\"combined_CMIP6_{periods[0][0]}_{periods[1][-1]}_evspsblpot.nc\"\n",
+    "    }}\n",
+    "\n",
+    "# Save the YAML file\n",
+    "yaml_file_path = combined_path / \"ewatercycle_forcing.yaml\"\n",
+    "\n",
+    "with open(yaml_file_path, \"w\") as yaml_file:\n",
+    "    yaml.dump(forcing_yaml, yaml_file, default_flow_style=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "10ff50bf-b6e7-4033-9682-3e25d01ecd26",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">LumpedMakkinkForcing</span><span style=\"font-weight: bold\">(</span>\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">start_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'1995-01-01T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">end_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'2014-12-31T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">directory</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-1995-2014'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">shape</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">filenames</span>=<span style=\"font-weight: bold\">{</span>\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'evspsblpot'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_1995_2014_evspsblpot.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'pr'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_1995_2014_pr.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'rsds'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_1995_2014_rsds.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'tas'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_1995_2014_tas.nc'</span>\n",
+       "    <span style=\"font-weight: bold\">}</span>\n",
+       "<span style=\"font-weight: bold\">)</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1;35mLumpedMakkinkForcing\u001b[0m\u001b[1m(\u001b[0m\n",
+       "    \u001b[33mstart_time\u001b[0m=\u001b[32m'1995-01-01T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mend_time\u001b[0m=\u001b[32m'2014-12-31T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mdirectory\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-1995-2014'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mshape\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mfilenames\u001b[0m=\u001b[1m{\u001b[0m\n",
+       "        \u001b[32m'evspsblpot'\u001b[0m: \u001b[32m'combined_CMIP6_1995_2014_evspsblpot.nc'\u001b[0m,\n",
+       "        \u001b[32m'pr'\u001b[0m: \u001b[32m'combined_CMIP6_1995_2014_pr.nc'\u001b[0m,\n",
+       "        \u001b[32m'rsds'\u001b[0m: \u001b[32m'combined_CMIP6_1995_2014_rsds.nc'\u001b[0m,\n",
+       "        \u001b[32m'tas'\u001b[0m: \u001b[32m'combined_CMIP6_1995_2014_tas.nc'\u001b[0m\n",
+       "    \u001b[1m}\u001b[0m\n",
+       "\u001b[1m)\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "CMIP6_combined_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=combined_path)\n",
+    "print(CMIP6_combined_forcing)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "83a89024-510b-442f-adeb-8f9e0d07a77f",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

From 8dce9d83e7deb913ef4fb4094ed4e83a830865cb Mon Sep 17 00:00:00 2001
From: Maxime <mxdebekker@gmail.com>
Date: Fri, 29 May 2026 13:32:49 +0200
Subject: [PATCH 07/24] CMIP Projections

---
 Workyard/CMIP_Projections.ipynb | 1407 +++++++++++++++++++++++++++++++
 1 file changed, 1407 insertions(+)
 create mode 100644 Workyard/CMIP_Projections.ipynb

diff --git a/Workyard/CMIP_Projections.ipynb b/Workyard/CMIP_Projections.ipynb
new file mode 100644
index 00000000..e887bb8e
--- /dev/null
+++ b/Workyard/CMIP_Projections.ipynb
@@ -0,0 +1,1407 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "9ca8fd44-6292-4af4-9100-d3256fccd960",
+   "metadata": {},
+   "source": [
+    "# Ensemble validation\n",
+    "\n",
+    "The 5 parameter sets calculkated in Calibration_HBV.ipynb will be used for a validation period, in which the log NSE will be calculated, a mean will be calculated and total low flow days during the navigation season.\n",
+    "\n",
+    "The structure of this notebook is as follows:\n",
+    "\n",
+    "### 1. Startup\n",
+    "### 2. Model Setup\n",
+    "### 3. Running model\n",
+    "### 4. LNSE calculation\n",
+    "### 5. Display results\n",
+    "### 6. Lowflow calculation"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "bdb4216e-a341-4c2b-a410-35170773a9a7",
+   "metadata": {},
+   "source": [
+    "## 1. Startup"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "d197b8f0-0f85-4a41-b2fb-1b2a8cf3f9f5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General python\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\", category=UserWarning)\n",
+    "\n",
+    "import numpy as np\n",
+    "from pathlib import Path\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import xarray as xr\n",
+    "\n",
+    "# Niceties\n",
+    "from rich import print"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "dd7b7d3f-1489-4723-bb51-f3cffcb7a85c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General eWaterCycle\n",
+    "import ewatercycle\n",
+    "import ewatercycle.models\n",
+    "import ewatercycle.forcing"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "1c8aee93-b2d6-4291-89ae-1d29e69268cd",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Defining things\n",
+    "\n",
+    "basin_size = 132572\n",
+    "q_critical = 500"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "d7dce039-d1f3-44a0-b646-98c32ecffb28",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Choosing time period\n",
+    "\n",
+    "experiment_start_date = \"2019-01-01T00:00:00Z\"\n",
+    "experiment_end_date = \"2024-12-31T00:00:00Z\"\n",
+    "\n",
+    "validation_start = \"1999-01-01T00:00:00Z\"\n",
+    "validation_end = \"2009-12-31T00:00:00Z\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "d330bf37-7419-4287-81af-3d09e4c7a30e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create pathways for ERA 5 forcings\n",
+    "\n",
+    "forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"ERA5-1999-2009\"\n",
+    "\n",
+    "discharge_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
+    "\n",
+    "shape_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "\n",
+    "hbv_config = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"hbv_config\"\n",
+    "hbv_config.mkdir(parents=True, exist_ok=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "15ea4507-f559-4ef8-9756-60b8502064d7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# # Create pathways for ERA 5 forcings\n",
+    "\n",
+    "# forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"forcings\" / \"ERA5-1999-2019\"\n",
+    "\n",
+    "# discharge_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
+    "\n",
+    "# shape_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "\n",
+    "# hbv_config = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"hbv_config\"\n",
+    "# hbv_config.mkdir(parents=True, exist_ok=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "46ea8b1e-fb73-49ed-855c-4d95cd932748",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load CSV discharge 07DA001\n",
+    "\n",
+    "q_obs = pd.read_csv(discharge_file, skiprows=1)\n",
+    "q_obs = q_obs[[\"Date\", \"Value\"]].copy()\n",
+    "q_obs[\"Date\"] = pd.to_datetime(q_obs[\"Date\"])\n",
+    "q_obs = q_obs.rename(columns={\"Value\": \"discharge_m3s\"})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "8bb224ad-d23c-475f-b6af-4a6023a17044",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Define time period\n",
+    "validation_start_date = pd.to_datetime(validation_start.replace(\"Z\", \"\"))\n",
+    "validation_end_date = pd.to_datetime(validation_end.replace(\"Z\", \"\"))\n",
+    "\n",
+    "# Skip 1 year for filling storages\n",
+    "evaluation_start = pd.to_datetime(f\"{validation_start_date.year + 1}-01-01\")\n",
+    "\n",
+    "# Align q_obs to relevant dates\n",
+    "q_obs = q_obs[(q_obs[\"Date\"] >= validation_start_date) & (q_obs[\"Date\"] <= validation_end_date)]\n",
+    "observed_output = pd.Series(data=q_obs[\"discharge_m3s\"].to_numpy(), name=\"Observed discharge\", index=q_obs[\"Date\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "fc27f6f8-e7ff-4be6-b073-05006d25426a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Date\n",
+       "1999-01-01    104.0\n",
+       "1999-01-02    103.0\n",
+       "1999-01-03    101.0\n",
+       "1999-01-04    103.0\n",
+       "1999-01-05    105.0\n",
+       "Name: Observed discharge, dtype: float64"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "observed_output.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "7f6f57aa-9f39-4524-ba3a-34f55035ebab",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1200x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot q_obs\n",
+    "\n",
+    "plt.figure(figsize=(12, 5))\n",
+    "plt.plot(q_obs[\"Date\"], q_obs[\"discharge_m3s\"])\n",
+    "\n",
+    "plt.xlabel(\"Date\")\n",
+    "plt.ylabel(\"Discharge (m³/s)\")\n",
+    "plt.title(\"Observed daily discharge at 07DA001\")\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a48b5085-6478-4cf2-bd02-75b75f82e90f",
+   "metadata": {},
+   "source": [
+    "### Generate/Load CMIP6 data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "77e79b20-3e4d-405a-bd88-16bdc50bdb39",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">LumpedMakkinkForcing</span><span style=\"font-weight: bold\">(</span>\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">start_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'1999-01-01T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">end_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'2009-12-31T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">directory</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1999-2009'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">shape</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">filenames</span>=<span style=\"font-weight: bold\">{</span>\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'evspsblpot'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1999_2009_evspsblpot.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'pr'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1999_2009_pr.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'rsds'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1999_2009_rsds.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'tas'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1999_2009_tas.nc'</span>\n",
+       "    <span style=\"font-weight: bold\">}</span>\n",
+       "<span style=\"font-weight: bold\">)</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1;35mLumpedMakkinkForcing\u001b[0m\u001b[1m(\u001b[0m\n",
+       "    \u001b[33mstart_time\u001b[0m=\u001b[32m'1999-01-01T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mend_time\u001b[0m=\u001b[32m'2009-12-31T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mdirectory\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1999-2009'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mshape\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mfilenames\u001b[0m=\u001b[1m{\u001b[0m\n",
+       "        \u001b[32m'evspsblpot'\u001b[0m: \u001b[32m'combined_ERA5_1999_2009_evspsblpot.nc'\u001b[0m,\n",
+       "        \u001b[32m'pr'\u001b[0m: \u001b[32m'combined_ERA5_1999_2009_pr.nc'\u001b[0m,\n",
+       "        \u001b[32m'rsds'\u001b[0m: \u001b[32m'combined_ERA5_1999_2009_rsds.nc'\u001b[0m,\n",
+       "        \u001b[32m'tas'\u001b[0m: \u001b[32m'combined_ERA5_1999_2009_tas.nc'\u001b[0m\n",
+       "    \u001b[1m}\u001b[0m\n",
+       "\u001b[1m)\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Generate data\n",
+    "CMIP_dataset = {'dataset': 'MPI-ESM1-2-HR', 'project': 'CMIP6', 'grid' : 'gn', 'exp': 'historical', 'ensemble': 'r1i1p1f1'}\n",
+    "\n",
+    "CMIP_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].generate(\n",
+    "    dataset=CMIP_dataset,\n",
+    "   start_time=validation_start,\n",
+    "   end_time=validation_end,\n",
+    "   shape=shape_file,\n",
+    ")\n",
+    "\n",
+    "# Load data\n",
+    "\n",
+    "ERA5_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=forcing_path_ERA5)\n",
+    "\n",
+    "print(ERA5_forcing)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "09f9dfb3-40c9-4689-98b8-fd1ea8fd72d1",
+   "metadata": {},
+   "source": [
+    "### Load parameter sets & initial storages"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "id": "ca2be146-1112-4806-a44f-d57ebd4442c9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load calibration constants\n",
+    "\n",
+    "# par_0 = [4.45787, 0.42307, 201.57602, 2.36497, 0.26755, 8.62964, 0.083568, 0.0037073, 0.29645]\n",
+    "# par_0 = [2.79874, 0.49211, 255.96478, 1.782968, 0.503199, 6.095956, 0.33279, 0.10539, 0.63857]\n",
+    "# par_0 = [6.279135, 0.4808243, 174.127749, 1.9527195, 0.3305087, 6.19919, 0.0768362, 0.004366398, 0.4076606]         # 0.725 val, 0.x cal - Fav run 2\n",
+    "# par_0 = [6.28908, 0.423917, 173.56627, 1.63144, 0.402586, 6.56151, 0.0456809, 0.00313744, 0.516696]                 # 0.702 val, 0.x cal\n",
+    "# par_0 = [6.4919, 0.386877, 221.78625, 1.388269, 0.276453, 4.9870704, 0.04126777, 0.05640195, 1.148877]              # 0.668 val, 0.x cal\n",
+    "# par_0 = [7.502398, 0.38028, 194.1899, 1.680197, 0.47956, 4.8566806, 0.041745354, 0.02833896, 1.051862]              # 0.677 val, 0.x cal\n",
+    "# par_0 = [5.5464, 0.46496, 187.8548, 1.82803, 0.440628, 6.29496, 0.062766, 0.033095, 0.80392]                        # 0.781 val, 0.776 cal\n",
+    "# par_0 = [6.16512, 0.4369419, 151.2515900, 1.727835, 0.3771705, 6.19265974, 0.06959136, 0.001310818, 0.8130732]      # 0.664 val, 0.791 cal\n",
+    "# par_0 = [5.7107, 0.441634, 172.81305, 1.87367, 0.588802, 5.498147, 0.060305, 0.019666, 1.2011814]                    # x val, 0.73 cal         Start of 5+ months exclusion\n",
+    "# par_0 = [7.35776, 0.432509, 192.67085, 1.66088, 0.289296, 5.323766, 0.037268, 0.004399, 1.146504]                    # 0.82 val, 0.818 cal - Fav run 1      \n",
+    "# par_0 = [7.23868, 0.47495, 181.82012, 1.8232, 0.4884032, 5.546412, 0.0449439, 0.00231717, 1.25052]                    #  val,  0.77 cal    \n",
+    "# par_0 = [7.9355, 0.4593, 219.6962, 1.72624, 0.26391, 5.810765, 0.04804, 0.0155065, 0.76857]                           # 0.78 val, 0.71 cal - potential inclusion\n",
+    "\n",
+    "par_ensemble = [\n",
+    "    [6.279135, 0.4808243, 174.127749, 1.9527195, 0.3305087, 6.19919, 0.0768362, 0.004366398, 0.4076606],\n",
+    "    [7.35776, 0.432509, 192.67085, 1.66088, 0.289296, 5.323766, 0.037268, 0.004399, 1.146504],\n",
+    "    [7.9355, 0.4593, 219.6962, 1.72624, 0.26391, 5.810765, 0.04804, 0.0155065, 0.76857],\n",
+    "    [5.5464, 0.46496, 187.8548, 1.82803, 0.440628, 6.29496, 0.062766, 0.033095, 0.80392],\n",
+    "   [7.23868, 0.47495, 181.82012, 1.8232, 0.4884032, 5.546412, 0.0449439, 0.00231717, 1.25052]\n",
+    "]\n",
+    "\n",
+    "\n",
+    "par_names = [\"Imax\",         # Maximum interception storage\n",
+    "               \"Ce\",         # Evaporation correction factor\n",
+    "               \"Sumax\",      # Maximum soil moisture storage\n",
+    "               \"Beta\",       # Soil runoff parameter\n",
+    "               \"Pmax\",       # Maximum percolation rate\n",
+    "               \"Tlag\",       # Time lag\n",
+    "               \"Kf\",         # Fast reservoir recession coefficient\n",
+    "               \"Ks\",         # Slow reservoir recession coefficient\n",
+    "               \"FM\"          # Snowmelt factor\n",
+    "               ]\n",
+    "\n",
+    "# Initial: par_0 = [5.085, 0.55, 100.373, 1.612, 0.545, 3.801, 0.196, 0.00, 0.185]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "id": "d5e5bcb4-bf90-470b-90ed-4a0b9d80c35d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Storages\n",
+    "\n",
+    "#               Si,  Su, Sf, Ss, Sp\n",
+    "s_0 = np.array([0,  100,  0,  5,  0])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "06c977b4-ba9d-4e82-8415-42180eac9f01",
+   "metadata": {},
+   "source": [
+    "## 2. Model setup"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "id": "055bdbc8-af1f-41ac-ad1d-b4da4d6785f6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def run_hbv(parameters, initial_storages, forcing):\n",
+    "\n",
+    "    # Creating model object\n",
+    "    model = ewatercycle.models.HBV(forcing=forcing)\n",
+    "\n",
+    "    # Creating config file\n",
+    "    config_file, _ = model.setup(\n",
+    "        parameters=parameters,\n",
+    "        initial_storages=initial_storages,\n",
+    "        cfg_dir=hbv_config\n",
+    "    )\n",
+    "\n",
+    "    # Initialising model\n",
+    "    model.initialize(config_file)\n",
+    "\n",
+    "    # Define & update outputs\n",
+    "    Q_m = []\n",
+    "    time = []\n",
+    "\n",
+    "    while model.time < model.end_time:\n",
+    "        model.update()\n",
+    "        Q_m.append(model.get_value(\"Q\")[0])\n",
+    "        time.append(pd.Timestamp(model.time_as_datetime))\n",
+    "\n",
+    "    model.finalize()\n",
+    "\n",
+    "    # Convert mm/day to m3/s\n",
+    "    model_output_mmday = pd.Series(\n",
+    "        data=Q_m,\n",
+    "        index=time,\n",
+    "        name=\"Modelled discharge\"\n",
+    "    )\n",
+    "\n",
+    "    model_output_m3s = model_output_mmday * basin_size * 1000 / 86400\n",
+    "\n",
+    "    return model_output_m3s"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "650daf1f-e90f-4b5b-aac5-eca8965de7cf",
+   "metadata": {},
+   "source": [
+    "## 3. Running model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "id": "44092959-524a-4330-a274-77cfad0eacd6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def run_hbv_ensemble(par_ensemble, initial_storages, forcing):\n",
+    "\n",
+    "    # Define amount of parameter sets\n",
+    "    N = len(par_ensemble)\n",
+    "    \n",
+    "    # Create dataframe to append data to & add column for observed data\n",
+    "    ensemble_data = pd.DataFrame()\n",
+    "\n",
+    "    for i in range(N):\n",
+    "\n",
+    "        print(f\"Running parameter set {i+1}/{N}\")\n",
+    "\n",
+    "        # Run HBV model for the parameter sets \n",
+    "        simulated = run_hbv(\n",
+    "            parameters=par_ensemble[i],\n",
+    "            initial_storages=initial_storages,\n",
+    "            forcing=forcing\n",
+    "        )\n",
+    "\n",
+    "        # Filter data by day only, not by day & time to prevent alignment issues\n",
+    "        simulated_daily = simulated\n",
+    "\n",
+    "        simulated_daily.index = pd.to_datetime(simulated_daily.index).tz_localize(None).normalize()\n",
+    "        simulated_daily.name = f\"Set {i+1}\"\n",
+    "         \n",
+    "        # Append new column for every parameter set results\n",
+    "        ensemble_data[f\"Set {i+1}\"] = simulated\n",
+    "\n",
+    "    # Filter observed data by day\n",
+    "    observed_daily = observed_output\n",
+    "    observed_daily.index = pd.to_datetime(observed_daily.index).tz_localize(None).normalize()\n",
+    "\n",
+    "    # Add mean of all sets\n",
+    "    ensemble_data[\"Mean\"] = ensemble_data.mean(axis=1)\n",
+    "    ensemble_data['Observed discharge'] = observed_daily\n",
+    "\n",
+    "    return ensemble_data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "id": "079368de-30cf-491f-8cc9-2021f6a4bfa6",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m1\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m2\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m3\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m4\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m5\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m1\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m2\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m3\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m4\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m5\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Set 1</th>\n",
+       "      <th>Set 2</th>\n",
+       "      <th>Set 3</th>\n",
+       "      <th>Set 4</th>\n",
+       "      <th>Set 5</th>\n",
+       "      <th>Mean</th>\n",
+       "      <th>Observed discharge</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1999-01-02</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>103.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1999-01-03</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>101.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1999-01-04</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>103.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1999-01-05</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>105.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1999-01-06</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>108.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            Set 1  Set 2  Set 3  Set 4  Set 5  Mean  Observed discharge\n",
+       "1999-01-02    0.0    0.0    0.0    0.0    0.0   0.0               103.0\n",
+       "1999-01-03    0.0    0.0    0.0    0.0    0.0   0.0               101.0\n",
+       "1999-01-04    0.0    0.0    0.0    0.0    0.0   0.0               103.0\n",
+       "1999-01-05    0.0    0.0    0.0    0.0    0.0   0.0               105.0\n",
+       "1999-01-06    0.0    0.0    0.0    0.0    0.0   0.0               108.0"
+      ]
+     },
+     "execution_count": 60,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ensemble_data_ERA5 = run_hbv_ensemble(\n",
+    "    par_ensemble=par_ensemble,\n",
+    "    initial_storages=s_0,\n",
+    "    forcing=ERA5_forcing\n",
+    ")\n",
+    "\n",
+    "ensemble_data_CMIP = run_hbv_ensemble(\n",
+    "    par_ensemble=par_ensemble,\n",
+    "    initial_storages=s_0,\n",
+    "    forcing=CMIP_forcing\n",
+    ")\n",
+    "\n",
+    "ensemble_data_ERA5.head()\n",
+    "ensemble_data_CMIP.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "96d6162f-f432-4dfc-9194-f522a2e6a6da",
+   "metadata": {},
+   "source": [
+    "## 4. LNSE Calculation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "id": "37567a9e-dff3-4c80-84e0-572a6ed72b68",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Calculate log NSE\n",
+    "\n",
+    "def LNSE(sim, obs):\n",
+    "    \n",
+    "    sim = sim.to_numpy()\n",
+    "    obs = obs.to_numpy()\n",
+    "\n",
+    "    # Avoid log(0)\n",
+    "    eps = 0.00000000001\n",
+    "\n",
+    "    log_sim = np.log(sim + eps)\n",
+    "    log_obs = np.log(obs + eps)\n",
+    "\n",
+    "    return 1 - np.sum((log_obs - log_sim) ** 2) / np.sum((log_obs - np.mean(log_obs)) ** 2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "id": "dc7850a4-dc30-4aa7-8719-4f810760c320",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Call log NSE for relevant timeperiod\n",
+    "\n",
+    "def lnse_ensemble(ensemble_data, lnse_start, lnse_end):\n",
+    "\n",
+    "    # Select evaluation period - skip first year for storages to fill\n",
+    "    combined_data = ensemble_data[\n",
+    "        (ensemble_data.index >= lnse_start) &\n",
+    "        (ensemble_data.index <= lnse_end)\n",
+    "    ].dropna()\n",
+    "\n",
+    "    # Exclude winter months\n",
+    "    combined_data = combined_data[\n",
+    "        ~combined_data.index.month.isin([12, 1, 2, 3, 4])\n",
+    "    ]\n",
+    "\n",
+    "    lnse_results = []\n",
+    "\n",
+    "    # Calculate LNSE for all sets\n",
+    "    for i in range(len(par_ensemble)):\n",
+    "        lnse_value = LNSE(\n",
+    "            combined_data[f\"Set {i+1}\"],\n",
+    "            combined_data[\"Observed discharge\"]\n",
+    "        )\n",
+    "\n",
+    "        # Append LNSE\n",
+    "        lnse_results.append({\n",
+    "            \"Set\": f\"Set {i+1}\",\n",
+    "            \"LNSE\": lnse_value\n",
+    "        })\n",
+    "\n",
+    "    # Calculate LNSE of ensemble mean\n",
+    "    mean_lnse = LNSE(\n",
+    "        combined_data[\"Mean\"],\n",
+    "        combined_data[\"Observed discharge\"]\n",
+    "    )\n",
+    "\n",
+    "    # Append LNSE\n",
+    "    lnse_results.append({\n",
+    "        \"Set\": \"Ensemble mean\",\n",
+    "        \"LNSE\": mean_lnse\n",
+    "    })\n",
+    "\n",
+    "    lnse_results = pd.DataFrame(lnse_results)\n",
+    "\n",
+    "    return lnse_results"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 91,
+   "id": "80962ebd-6ad7-48ce-b378-acd68ed03a1e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Set</th>\n",
+       "      <th>LNSE</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Set 1</td>\n",
+       "      <td>0.677691</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Set 2</td>\n",
+       "      <td>0.689680</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Set 3</td>\n",
+       "      <td>0.696169</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Set 4</td>\n",
+       "      <td>0.642352</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Set 5</td>\n",
+       "      <td>0.643318</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>Ensemble mean</td>\n",
+       "      <td>0.725469</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "             Set      LNSE\n",
+       "0          Set 1  0.677691\n",
+       "1          Set 2  0.689680\n",
+       "2          Set 3  0.696169\n",
+       "3          Set 4  0.642352\n",
+       "4          Set 5  0.643318\n",
+       "5  Ensemble mean  0.725469"
+      ]
+     },
+     "execution_count": 91,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "lnse_results_ERA5 = lnse_ensemble(\n",
+    "    ensemble_data=ensemble_data_ERA5,\n",
+    "    lnse_start=evaluation_start,\n",
+    "    lnse_end=validation_end_date\n",
+    ")\n",
+    "\n",
+    "lnse_results_CMIP = lnse_ensemble(\n",
+    "    ensemble_data=ensemble_data_CMIP,\n",
+    "    lnse_start=evaluation_start,\n",
+    "    lnse_end=validation_end_date\n",
+    ")\n",
+    "\n",
+    "lnse_results_ERA5\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d9b6a719-39c6-4872-87ff-cdb65d853e42",
+   "metadata": {},
+   "source": [
+    "## 5. Display results"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 67,
+   "id": "f519854a-a994-44fd-a428-4d0c6daa98e1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def plot_ensemble(ensemble_data, plot_start, plot_end):\n",
+    "\n",
+    "    plot_start = pd.to_datetime(plot_start)\n",
+    "    plot_end = pd.to_datetime(plot_end)\n",
+    "\n",
+    "    # Filter data to start & end time\n",
+    "    plot_data = ensemble_data[\n",
+    "        (ensemble_data.index >= plot_start) &\n",
+    "        (ensemble_data.index <= plot_end)\n",
+    "    ].dropna()\n",
+    "\n",
+    "    # Define figure\n",
+    "    plt.figure()\n",
+    "    plt.figure(figsize=(20, 8))\n",
+    "\n",
+    "    # Plot sets, observed data, ensemble mean and axhline, respectively\n",
+    "    for i in range(len(par_ensemble)):\n",
+    "        plt.plot(plot_data.index, plot_data[f\"Set {i+1}\"], color=\"orange\", alpha=0.3, label=\"Parameter sets\" if i == 0 else None)\n",
+    "\n",
+    "    plt.plot(plot_data.index, plot_data[\"Observed discharge\"], label=\"Observed discharge\", linewidth=3)\n",
+    "    plt.plot(plot_data.index, plot_data[\"Mean\"], label=\"Ensemble mean\", linewidth=3)\n",
+    "    plt.axhline(y=q_critical, linestyle=\":\", color=\"black\", label=f\"Critical discharge ({q_critical} m³/s)\")\n",
+    "\n",
+    "    # Extras\n",
+    "    plt.xlabel(\"Date\")\n",
+    "    plt.ylabel(\"Discharge (m³/s)\")\n",
+    "    plt.title(\"Observed vs modelled ensemble discharge at 07DA001\")\n",
+    "    plt.legend()\n",
+    "    plt.grid(True)\n",
+    "\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 69,
+   "id": "f1bb58f8-3dee-43eb-abc8-4af333b5d064",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 640x480 with 0 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 2000x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 640x480 with 0 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 2000x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot for full evaluation period\n",
+    "\n",
+    "plot_ensemble_ERA5 = plot_ensemble(\n",
+    "    ensemble_data=ensemble_data_ERA5,\n",
+    "    plot_start=evaluation_start,\n",
+    "    plot_end=validation_end_date\n",
+    ")\n",
+    "\n",
+    "plot_ensemble_CMIP = plot_ensemble(\n",
+    "    ensemble_data=ensemble_data_CMIP,\n",
+    "    plot_start=evaluation_start,\n",
+    "    plot_end=validation_end_date\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 111,
+   "id": "b835010a-b272-46b7-9c20-b0db1a99506b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 640x480 with 0 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 2000x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 640x480 with 0 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 2000x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot for selected year\n",
+    "\n",
+    "selected_year = 2008\n",
+    "\n",
+    "plot_ensemble(\n",
+    "    ensemble_data=ensemble_data_ERA5,\n",
+    "    plot_start=pd.to_datetime(f\"{selected_year}-01-01\"),\n",
+    "    plot_end=pd.to_datetime(f\"{selected_year}-12-31\")\n",
+    ")\n",
+    "\n",
+    "plot_ensemble(\n",
+    "    ensemble_data=ensemble_data_CMIP,\n",
+    "    plot_start=pd.to_datetime(f\"{selected_year}-01-01\"),\n",
+    "    plot_end=pd.to_datetime(f\"{selected_year}-12-31\")\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d017577d-79da-4a97-9522-81f4c307f3aa",
+   "metadata": {},
+   "source": [
+    "## 6. Lowflow calculation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 80,
+   "id": "dcc14e37-5aea-4b00-ae71-32b68ee03d4a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def lowflow_counter_ensemble(ensemble_data, start_date, end_date):\n",
+    "    \n",
+    "    lowflow_days = []\n",
+    "\n",
+    "    years = list(range(start_date.year, end_date.year + 1))\n",
+    "\n",
+    "    for i in range(len(years)):\n",
+    "    \n",
+    "        year = years[i]\n",
+    "    \n",
+    "        # Define start and end month-day\n",
+    "        year_start = pd.to_datetime(f\"{year}-05-18\")\n",
+    "        year_end = pd.to_datetime(f\"{year}-10-17\")\n",
+    "    \n",
+    "        year_data = ensemble_data[\n",
+    "            (ensemble_data.index >= year_start) &\n",
+    "            (ensemble_data.index <= year_end)\n",
+    "        ]\n",
+    "\n",
+    "        # Set zeros to count from\n",
+    "        observed_lowflow_days = 0\n",
+    "        modelled_lowflow_days = []\n",
+    "        modelmean_lowflow_days = 0\n",
+    "\n",
+    "        # Count observed lowflow days\n",
+    "        for j in range(len(year_data)):\n",
+    "\n",
+    "            observed_q = year_data.iloc[j][\"Observed discharge\"]\n",
+    "\n",
+    "            if observed_q < q_critical:\n",
+    "                observed_lowflow_days += 1\n",
+    "\n",
+    "        # Count model mean lowflow days\n",
+    "        for j in range(len(year_data)):\n",
+    "\n",
+    "            modelmean_q = year_data.iloc[j][\"Mean\"]\n",
+    "\n",
+    "            if modelmean_q < q_critical:\n",
+    "                modelmean_lowflow_days += 1\n",
+    "\n",
+    "        # Count modelled lowflow days\n",
+    "        for j in range(len(par_ensemble)):\n",
+    "\n",
+    "            set_lowflow_days = 0\n",
+    "\n",
+    "            for k in range(len(year_data)):\n",
+    "\n",
+    "                set_q = year_data.iloc[k][f\"Set {j+1}\"]\n",
+    "\n",
+    "                if set_q < q_critical:\n",
+    "                    set_lowflow_days += 1\n",
+    "\n",
+    "            modelled_lowflow_days.append(set_lowflow_days)\n",
+    "\n",
+    "        setavg_lowflow_days = np.mean(modelled_lowflow_days)\n",
+    "        \n",
+    "        lowflow_days.append({\n",
+    "            \"year\": year,\n",
+    "            \"observed\": observed_lowflow_days,\n",
+    "            \"modelmean\": modelmean_lowflow_days,\n",
+    "            \"set_1\": modelled_lowflow_days[0],\n",
+    "            \"set_2\": modelled_lowflow_days[1],\n",
+    "            \"set_3\": modelled_lowflow_days[2],\n",
+    "            \"set_4\": modelled_lowflow_days[3],\n",
+    "            \"set_5\": modelled_lowflow_days[4],\n",
+    "            \"set_avg\": np.round(setavg_lowflow_days)\n",
+    "        })\n",
+    "\n",
+    "    lowflow_days = pd.DataFrame(lowflow_days)\n",
+    "\n",
+    "    return lowflow_days"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 90,
+   "id": "7460b853-5619-44c9-ac89-3c6fc099bde6",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>year</th>\n",
+       "      <th>observed</th>\n",
+       "      <th>modelmean</th>\n",
+       "      <th>set_1</th>\n",
+       "      <th>set_2</th>\n",
+       "      <th>set_3</th>\n",
+       "      <th>set_4</th>\n",
+       "      <th>set_5</th>\n",
+       "      <th>set_avg</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2000</td>\n",
+       "      <td>20</td>\n",
+       "      <td>31</td>\n",
+       "      <td>36</td>\n",
+       "      <td>28</td>\n",
+       "      <td>29</td>\n",
+       "      <td>29</td>\n",
+       "      <td>28</td>\n",
+       "      <td>30.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2001</td>\n",
+       "      <td>60</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2002</td>\n",
+       "      <td>52</td>\n",
+       "      <td>0</td>\n",
+       "      <td>8</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2003</td>\n",
+       "      <td>51</td>\n",
+       "      <td>6</td>\n",
+       "      <td>21</td>\n",
+       "      <td>0</td>\n",
+       "      <td>7</td>\n",
+       "      <td>9</td>\n",
+       "      <td>0</td>\n",
+       "      <td>7.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2004</td>\n",
+       "      <td>5</td>\n",
+       "      <td>23</td>\n",
+       "      <td>41</td>\n",
+       "      <td>17</td>\n",
+       "      <td>27</td>\n",
+       "      <td>31</td>\n",
+       "      <td>0</td>\n",
+       "      <td>23.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>2005</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>2006</td>\n",
+       "      <td>42</td>\n",
+       "      <td>24</td>\n",
+       "      <td>40</td>\n",
+       "      <td>20</td>\n",
+       "      <td>31</td>\n",
+       "      <td>29</td>\n",
+       "      <td>0</td>\n",
+       "      <td>24.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>2007</td>\n",
+       "      <td>25</td>\n",
+       "      <td>26</td>\n",
+       "      <td>42</td>\n",
+       "      <td>15</td>\n",
+       "      <td>29</td>\n",
+       "      <td>31</td>\n",
+       "      <td>7</td>\n",
+       "      <td>25.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>2008</td>\n",
+       "      <td>37</td>\n",
+       "      <td>21</td>\n",
+       "      <td>38</td>\n",
+       "      <td>18</td>\n",
+       "      <td>23</td>\n",
+       "      <td>23</td>\n",
+       "      <td>6</td>\n",
+       "      <td>22.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>2009</td>\n",
+       "      <td>42</td>\n",
+       "      <td>13</td>\n",
+       "      <td>23</td>\n",
+       "      <td>8</td>\n",
+       "      <td>14</td>\n",
+       "      <td>16</td>\n",
+       "      <td>0</td>\n",
+       "      <td>12.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   year  observed  modelmean  set_1  set_2  set_3  set_4  set_5  set_avg\n",
+       "0  2000        20         31     36     28     29     29     28     30.0\n",
+       "1  2001        60          0      0      0      0      0      0      0.0\n",
+       "2  2002        52          0      8      0      0      0      0      2.0\n",
+       "3  2003        51          6     21      0      7      9      0      7.0\n",
+       "4  2004         5         23     41     17     27     31      0     23.0\n",
+       "5  2005         0          0      0      0      0      0      0      0.0\n",
+       "6  2006        42         24     40     20     31     29      0     24.0\n",
+       "7  2007        25         26     42     15     29     31      7     25.0\n",
+       "8  2008        37         21     38     18     23     23      6     22.0\n",
+       "9  2009        42         13     23      8     14     16      0     12.0"
+      ]
+     },
+     "execution_count": 90,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# lowflow_counter_ensemble(\n",
+    "#     ensemble_data=ensemble_data_ERA5,\n",
+    "#     start_date=evaluation_start,\n",
+    "#     end_date=validation_end_date\n",
+    "# )\n",
+    "\n",
+    "lowflow_counter_ensemble(\n",
+    "    ensemble_data=ensemble_data_CMIP,\n",
+    "    start_date=evaluation_start,\n",
+    "    end_date=validation_end_date\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "02d8a545-838c-4da5-9935-22f34d49f4ee",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4dd215db-3fbe-44fa-9c07-26f13e64d255",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7a08ca3c-9f66-4797-b4eb-7943785f512d",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "efc2756c-f047-4ae1-a491-583e46612a75",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

From 46eedc6f02d7ab04a673110367b4379459b00aef Mon Sep 17 00:00:00 2001
From: Maxime <mxdebekker@gmail.com>
Date: Tue, 2 Jun 2026 13:31:25 +0200
Subject: [PATCH 08/24] CMIP Projections

Added a cumsum plot and table for observed, ERA5 and CMIP data.
---
 Workyard/CMIP_Projections.ipynb | 971 +++++++++++++++++++++++++++-----
 1 file changed, 835 insertions(+), 136 deletions(-)

diff --git a/Workyard/CMIP_Projections.ipynb b/Workyard/CMIP_Projections.ipynb
index e887bb8e..726701b4 100644
--- a/Workyard/CMIP_Projections.ipynb
+++ b/Workyard/CMIP_Projections.ipynb
@@ -16,7 +16,8 @@
     "### 3. Running model\n",
     "### 4. LNSE calculation\n",
     "### 5. Display results\n",
-    "### 6. Lowflow calculation"
+    "### 6. Lowflow calculation\n",
+    "### 7. Cumsum distribution"
    ]
   },
   {
@@ -29,7 +30,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 64,
    "id": "d197b8f0-0f85-4a41-b2fb-1b2a8cf3f9f5",
    "metadata": {},
    "outputs": [],
@@ -50,7 +51,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 65,
    "id": "dd7b7d3f-1489-4723-bb51-f3cffcb7a85c",
    "metadata": {},
    "outputs": [],
@@ -63,7 +64,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 66,
    "id": "1c8aee93-b2d6-4291-89ae-1d29e69268cd",
    "metadata": {},
    "outputs": [],
@@ -76,30 +77,37 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 67,
    "id": "d7dce039-d1f3-44a0-b646-98c32ecffb28",
    "metadata": {},
    "outputs": [],
    "source": [
     "# Choosing time period\n",
     "\n",
-    "experiment_start_date = \"2019-01-01T00:00:00Z\"\n",
-    "experiment_end_date = \"2024-12-31T00:00:00Z\"\n",
+    "# experiment_start_date = \"2019-01-01T00:00:00Z\"\n",
+    "# experiment_end_date = \"2024-12-31T00:00:00Z\"\n",
+    "\n",
+    "start_year = 1995\n",
+    "end_year = 2014\n",
     "\n",
-    "validation_start = \"1999-01-01T00:00:00Z\"\n",
-    "validation_end = \"2009-12-31T00:00:00Z\""
+    "validation_start = f\"{start_year}-01-01T00:00:00Z\"\n",
+    "validation_end = f\"{end_year}-12-31T00:00:00Z\""
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 68,
    "id": "d330bf37-7419-4287-81af-3d09e4c7a30e",
    "metadata": {},
    "outputs": [],
    "source": [
     "# Create pathways for ERA 5 forcings\n",
     "\n",
-    "forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"ERA5-1999-2009\"\n",
+    "forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / f\"ERA5-{start_year}-{end_year}\"\n",
+    "\n",
+    "forcing_path_CMIP = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / \"historical\" / f\"CMIP6-{start_year}-{end_year}\"\n",
+    "\n",
+    "forcing_path_QDM = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / \"historical\" / f\"CMIP6-QDM-{start_year}-{end_year}\"\n",
     "\n",
     "discharge_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
     "\n",
@@ -111,7 +119,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 69,
    "id": "15ea4507-f559-4ef8-9756-60b8502064d7",
    "metadata": {},
    "outputs": [],
@@ -130,7 +138,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 70,
    "id": "46ea8b1e-fb73-49ed-855c-4d95cd932748",
    "metadata": {},
    "outputs": [],
@@ -145,7 +153,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 71,
    "id": "8bb224ad-d23c-475f-b6af-4a6023a17044",
    "metadata": {},
    "outputs": [],
@@ -164,7 +172,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 72,
    "id": "fc27f6f8-e7ff-4be6-b073-05006d25426a",
    "metadata": {},
    "outputs": [
@@ -172,15 +180,15 @@
      "data": {
       "text/plain": [
        "Date\n",
-       "1999-01-01    104.0\n",
-       "1999-01-02    103.0\n",
-       "1999-01-03    101.0\n",
-       "1999-01-04    103.0\n",
-       "1999-01-05    105.0\n",
+       "1995-01-01    197.0\n",
+       "1995-01-02    196.0\n",
+       "1995-01-03    194.0\n",
+       "1995-01-04    191.0\n",
+       "1995-01-05    186.0\n",
        "Name: Observed discharge, dtype: float64"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 72,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -191,13 +199,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 73,
    "id": "7f6f57aa-9f39-4524-ba3a-34f55035ebab",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 1200x500 with 1 Axes>"
       ]
@@ -229,7 +237,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 74,
    "id": "77e79b20-3e4d-405a-bd88-16bdc50bdb39",
    "metadata": {},
    "outputs": [
@@ -237,30 +245,30 @@
      "data": {
       "text/html": [
        "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">LumpedMakkinkForcing</span><span style=\"font-weight: bold\">(</span>\n",
-       "    <span style=\"color: #808000; text-decoration-color: #808000\">start_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'1999-01-01T00:00:00Z'</span>,\n",
-       "    <span style=\"color: #808000; text-decoration-color: #808000\">end_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'2009-12-31T00:00:00Z'</span>,\n",
-       "    <span style=\"color: #808000; text-decoration-color: #808000\">directory</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1999-2009'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">start_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'1995-01-01T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">end_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'2014-12-31T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">directory</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1995-2014'</span><span style=\"font-weight: bold\">)</span>,\n",
        "    <span style=\"color: #808000; text-decoration-color: #808000\">shape</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'</span><span style=\"font-weight: bold\">)</span>,\n",
        "    <span style=\"color: #808000; text-decoration-color: #808000\">filenames</span>=<span style=\"font-weight: bold\">{</span>\n",
-       "        <span style=\"color: #008000; text-decoration-color: #008000\">'evspsblpot'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1999_2009_evspsblpot.nc'</span>,\n",
-       "        <span style=\"color: #008000; text-decoration-color: #008000\">'pr'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1999_2009_pr.nc'</span>,\n",
-       "        <span style=\"color: #008000; text-decoration-color: #008000\">'rsds'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1999_2009_rsds.nc'</span>,\n",
-       "        <span style=\"color: #008000; text-decoration-color: #008000\">'tas'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1999_2009_tas.nc'</span>\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'evspsblpot'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1995_2014_evspsblpot.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'pr'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1995_2014_pr.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'rsds'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1995_2014_rsds.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'tas'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1995_2014_tas.nc'</span>\n",
        "    <span style=\"font-weight: bold\">}</span>\n",
        "<span style=\"font-weight: bold\">)</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
        "\u001b[1;35mLumpedMakkinkForcing\u001b[0m\u001b[1m(\u001b[0m\n",
-       "    \u001b[33mstart_time\u001b[0m=\u001b[32m'1999-01-01T00:00:00Z'\u001b[0m,\n",
-       "    \u001b[33mend_time\u001b[0m=\u001b[32m'2009-12-31T00:00:00Z'\u001b[0m,\n",
-       "    \u001b[33mdirectory\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1999-2009'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mstart_time\u001b[0m=\u001b[32m'1995-01-01T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mend_time\u001b[0m=\u001b[32m'2014-12-31T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mdirectory\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1995-2014'\u001b[0m\u001b[1m)\u001b[0m,\n",
        "    \u001b[33mshape\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'\u001b[0m\u001b[1m)\u001b[0m,\n",
        "    \u001b[33mfilenames\u001b[0m=\u001b[1m{\u001b[0m\n",
-       "        \u001b[32m'evspsblpot'\u001b[0m: \u001b[32m'combined_ERA5_1999_2009_evspsblpot.nc'\u001b[0m,\n",
-       "        \u001b[32m'pr'\u001b[0m: \u001b[32m'combined_ERA5_1999_2009_pr.nc'\u001b[0m,\n",
-       "        \u001b[32m'rsds'\u001b[0m: \u001b[32m'combined_ERA5_1999_2009_rsds.nc'\u001b[0m,\n",
-       "        \u001b[32m'tas'\u001b[0m: \u001b[32m'combined_ERA5_1999_2009_tas.nc'\u001b[0m\n",
+       "        \u001b[32m'evspsblpot'\u001b[0m: \u001b[32m'combined_ERA5_1995_2014_evspsblpot.nc'\u001b[0m,\n",
+       "        \u001b[32m'pr'\u001b[0m: \u001b[32m'combined_ERA5_1995_2014_pr.nc'\u001b[0m,\n",
+       "        \u001b[32m'rsds'\u001b[0m: \u001b[32m'combined_ERA5_1995_2014_rsds.nc'\u001b[0m,\n",
+       "        \u001b[32m'tas'\u001b[0m: \u001b[32m'combined_ERA5_1995_2014_tas.nc'\u001b[0m\n",
        "    \u001b[1m}\u001b[0m\n",
        "\u001b[1m)\u001b[0m\n"
       ]
@@ -271,19 +279,29 @@
    ],
    "source": [
     "# Generate data\n",
-    "CMIP_dataset = {'dataset': 'MPI-ESM1-2-HR', 'project': 'CMIP6', 'grid' : 'gn', 'exp': 'historical', 'ensemble': 'r1i1p1f1'}\n",
+    "# CMIP_dataset = {'dataset': 'MPI-ESM1-2-HR', 'project': 'CMIP6', 'grid' : 'gn', 'exp': 'historical', 'ensemble': 'r1i1p1f1'}\n",
     "\n",
-    "CMIP_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].generate(\n",
-    "    dataset=CMIP_dataset,\n",
-    "   start_time=validation_start,\n",
-    "   end_time=validation_end,\n",
-    "   shape=shape_file,\n",
-    ")\n",
+    "# CMIP_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].generate(\n",
+    "#     dataset=CMIP_dataset,\n",
+    "#    start_time=validation_start,\n",
+    "#    end_time=validation_end,\n",
+    "#    shape=shape_file,\n",
+    "# )\n",
+    "# CMIP_forcing_QDM = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].generate(\n",
+    "#     dataset=CMIP_dataset,\n",
+    "#    start_time=validation_start,\n",
+    "#    end_time=validation_end,\n",
+    "#    shape=shape_file,\n",
+    "# )\n",
     "\n",
     "# Load data\n",
     "\n",
     "ERA5_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=forcing_path_ERA5)\n",
     "\n",
+    "CMIP_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=forcing_path_CMIP)\n",
+    "\n",
+    "# QDM_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=forcing_path_QDM)\n",
+    "\n",
     "print(ERA5_forcing)"
    ]
   },
@@ -297,7 +315,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 55,
+   "execution_count": 75,
    "id": "ca2be146-1112-4806-a44f-d57ebd4442c9",
    "metadata": {},
    "outputs": [],
@@ -342,7 +360,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 56,
+   "execution_count": 76,
    "id": "d5e5bcb4-bf90-470b-90ed-4a0b9d80c35d",
    "metadata": {},
    "outputs": [],
@@ -363,7 +381,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 57,
+   "execution_count": 77,
    "id": "055bdbc8-af1f-41ac-ad1d-b4da4d6785f6",
    "metadata": {},
    "outputs": [],
@@ -406,6 +424,52 @@
     "    return model_output_m3s"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 78,
+   "id": "0eef7e02-1e23-4d1a-99a3-56c2d3b5f62f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">LumpedMakkinkForcing</span><span style=\"font-weight: bold\">(</span>\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">start_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'1995-01-01T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">end_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'2014-12-31T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">directory</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-1995-2014'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">shape</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">filenames</span>=<span style=\"font-weight: bold\">{</span>\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'evspsblpot'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_1995_2014_evspsblpot.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'pr'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_1995_2014_pr.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'rsds'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_1995_2014_rsds.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'tas'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_1995_2014_tas.nc'</span>\n",
+       "    <span style=\"font-weight: bold\">}</span>\n",
+       "<span style=\"font-weight: bold\">)</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1;35mLumpedMakkinkForcing\u001b[0m\u001b[1m(\u001b[0m\n",
+       "    \u001b[33mstart_time\u001b[0m=\u001b[32m'1995-01-01T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mend_time\u001b[0m=\u001b[32m'2014-12-31T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mdirectory\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-1995-2014'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mshape\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mfilenames\u001b[0m=\u001b[1m{\u001b[0m\n",
+       "        \u001b[32m'evspsblpot'\u001b[0m: \u001b[32m'combined_CMIP6_1995_2014_evspsblpot.nc'\u001b[0m,\n",
+       "        \u001b[32m'pr'\u001b[0m: \u001b[32m'combined_CMIP6_1995_2014_pr.nc'\u001b[0m,\n",
+       "        \u001b[32m'rsds'\u001b[0m: \u001b[32m'combined_CMIP6_1995_2014_rsds.nc'\u001b[0m,\n",
+       "        \u001b[32m'tas'\u001b[0m: \u001b[32m'combined_CMIP6_1995_2014_tas.nc'\u001b[0m\n",
+       "    \u001b[1m}\u001b[0m\n",
+       "\u001b[1m)\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "print(CMIP_forcing)"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "650daf1f-e90f-4b5b-aac5-eca8965de7cf",
@@ -416,7 +480,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
+   "execution_count": 79,
    "id": "44092959-524a-4330-a274-77cfad0eacd6",
    "metadata": {},
    "outputs": [],
@@ -462,7 +526,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 60,
+   "execution_count": 80,
    "id": "079368de-30cf-491f-8cc9-2021f6a4bfa6",
    "metadata": {},
    "outputs": [
@@ -628,54 +692,54 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>1999-01-02</th>\n",
+       "      <th>1995-01-02</th>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>103.0</td>\n",
+       "      <td>196.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1999-01-03</th>\n",
+       "      <th>1995-01-03</th>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>101.0</td>\n",
+       "      <td>194.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1999-01-04</th>\n",
+       "      <th>1995-01-04</th>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>103.0</td>\n",
+       "      <td>191.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1999-01-05</th>\n",
+       "      <th>1995-01-05</th>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>105.0</td>\n",
+       "      <td>186.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1999-01-06</th>\n",
+       "      <th>1995-01-06</th>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>108.0</td>\n",
+       "      <td>180.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -683,14 +747,14 @@
       ],
       "text/plain": [
        "            Set 1  Set 2  Set 3  Set 4  Set 5  Mean  Observed discharge\n",
-       "1999-01-02    0.0    0.0    0.0    0.0    0.0   0.0               103.0\n",
-       "1999-01-03    0.0    0.0    0.0    0.0    0.0   0.0               101.0\n",
-       "1999-01-04    0.0    0.0    0.0    0.0    0.0   0.0               103.0\n",
-       "1999-01-05    0.0    0.0    0.0    0.0    0.0   0.0               105.0\n",
-       "1999-01-06    0.0    0.0    0.0    0.0    0.0   0.0               108.0"
+       "1995-01-02    0.0    0.0    0.0    0.0    0.0   0.0               196.0\n",
+       "1995-01-03    0.0    0.0    0.0    0.0    0.0   0.0               194.0\n",
+       "1995-01-04    0.0    0.0    0.0    0.0    0.0   0.0               191.0\n",
+       "1995-01-05    0.0    0.0    0.0    0.0    0.0   0.0               186.0\n",
+       "1995-01-06    0.0    0.0    0.0    0.0    0.0   0.0               180.0"
       ]
      },
-     "execution_count": 60,
+     "execution_count": 80,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -708,8 +772,15 @@
     "    forcing=CMIP_forcing\n",
     ")\n",
     "\n",
+    "# ensemble_data_QDM = run_hbv_ensemble(\n",
+    "#     par_ensemble=par_ensemble,\n",
+    "#     initial_storages=s_0,\n",
+    "#     forcing=QDM_forcing\n",
+    "# )\n",
+    "\n",
     "ensemble_data_ERA5.head()\n",
-    "ensemble_data_CMIP.head()"
+    "ensemble_data_CMIP.head()\n",
+    "# ensemble_data_QDM.head()"
    ]
   },
   {
@@ -722,7 +793,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 61,
+   "execution_count": 81,
    "id": "37567a9e-dff3-4c80-84e0-572a6ed72b68",
    "metadata": {},
    "outputs": [],
@@ -745,7 +816,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 62,
+   "execution_count": 82,
    "id": "dc7850a4-dc30-4aa7-8719-4f810760c320",
    "metadata": {},
    "outputs": [],
@@ -799,7 +870,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 91,
+   "execution_count": 83,
    "id": "80962ebd-6ad7-48ce-b378-acd68ed03a1e",
    "metadata": {},
    "outputs": [
@@ -832,32 +903,32 @@
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>Set 1</td>\n",
-       "      <td>0.677691</td>\n",
+       "      <td>-0.221387</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>Set 2</td>\n",
-       "      <td>0.689680</td>\n",
+       "      <td>-0.100210</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>Set 3</td>\n",
-       "      <td>0.696169</td>\n",
+       "      <td>-0.154252</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>Set 4</td>\n",
-       "      <td>0.642352</td>\n",
+       "      <td>-0.250239</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>Set 5</td>\n",
-       "      <td>0.643318</td>\n",
+       "      <td>-0.164213</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5</th>\n",
        "      <td>Ensemble mean</td>\n",
-       "      <td>0.725469</td>\n",
+       "      <td>-0.141139</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -865,15 +936,15 @@
       ],
       "text/plain": [
        "             Set      LNSE\n",
-       "0          Set 1  0.677691\n",
-       "1          Set 2  0.689680\n",
-       "2          Set 3  0.696169\n",
-       "3          Set 4  0.642352\n",
-       "4          Set 5  0.643318\n",
-       "5  Ensemble mean  0.725469"
+       "0          Set 1 -0.221387\n",
+       "1          Set 2 -0.100210\n",
+       "2          Set 3 -0.154252\n",
+       "3          Set 4 -0.250239\n",
+       "4          Set 5 -0.164213\n",
+       "5  Ensemble mean -0.141139"
       ]
      },
-     "execution_count": 91,
+     "execution_count": 83,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -891,7 +962,13 @@
     "    lnse_end=validation_end_date\n",
     ")\n",
     "\n",
-    "lnse_results_ERA5\n"
+    "# lnse_results_QDM = lnse_ensemble(\n",
+    "#     ensemble_data=ensemble_data_QDM,\n",
+    "#     lnse_start=evaluation_start,\n",
+    "#     lnse_end=validation_end_date\n",
+    "# )\n",
+    "\n",
+    "lnse_results_CMIP\n"
    ]
   },
   {
@@ -904,7 +981,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 67,
+   "execution_count": 84,
    "id": "f519854a-a994-44fd-a428-4d0c6daa98e1",
    "metadata": {},
    "outputs": [],
@@ -944,7 +1021,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 69,
+   "execution_count": 85,
    "id": "f1bb58f8-3dee-43eb-abc8-4af333b5d064",
    "metadata": {},
    "outputs": [
@@ -959,7 +1036,7 @@
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 2000x800 with 1 Axes>"
       ]
@@ -978,7 +1055,7 @@
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 2000x800 with 1 Axes>"
       ]
@@ -1000,12 +1077,18 @@
     "    ensemble_data=ensemble_data_CMIP,\n",
     "    plot_start=evaluation_start,\n",
     "    plot_end=validation_end_date\n",
-    ")"
+    ")\n",
+    "\n",
+    "# plot_ensemble_QDM = plot_ensemble(\n",
+    "#     ensemble_data=ensemble_data_QDM,\n",
+    "#     plot_start=evaluation_start,\n",
+    "#     plot_end=validation_end_date\n",
+    "# )"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 111,
+   "execution_count": 86,
    "id": "b835010a-b272-46b7-9c20-b0db1a99506b",
    "metadata": {},
    "outputs": [
@@ -1020,7 +1103,7 @@
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAABmIAAAK7CAYAAADhvpCDAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8fJSN1AAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOzdd3gU5doG8Hu2bzrpofeA0qsUKVKCSBdQQIogoICAgiJKVQRFPKCo4KcUPYIdFTkYBQREepEiXUwglNBCEtK2zvfHZDaZZJNs6qbcv+vimt3Zd2benWQRc+d5XkEURRFERERERERERERERERU5FTungAREREREREREREREVF5xSCGiIiIiIiIiIiIiIiomDCIISIiIiIiIiIiIiIiKiYMYoiIiIiIiIiIiIiIiIoJgxgiIiIiIiIiIiIiIqJiwiCGiIiIiIiIiIiIiIiomDCIISIiIiIiIiIiIiIiKiYMYoiIiIiIiIiIiIiIiIoJgxgiIiIiIiIiIiIiIqJiwiCGiIiIqAw4cOAAhgwZgrCwMOh0OoSGhmLw4MHYv39/trELFiyAIAi4c+eOG2bqXjVr1sSYMWPcPQ23K8x9EAQBCxYscDzftWsXBEHArl27imRuALB+/XoIgoDo6OgiO2dZNGbMGHh5ebk0tqS+t7t06YIuXbo4nkdHR0MQBKxfv77Ir5Wf918eLV68GD/++GO+jvnqq6/QrFkzGAwGVK5cGdOnT0dSUpJizJgxYyAIQo5/Dhw44BjbpUsXx36VSgVvb2/UrVsXQ4YMwXfffQe73Z7jXE6dOgVBEKDVanHjxo0cxx07dgzdu3eHl5cX/Pz8MGjQIPz7779Ox65cuRINGjSAXq9HrVq1sHDhQlgsFsWYq1evYvr06ejcuTP8/PyK7fuTiIiIqCgxiCEiIiIq5VauXIkOHTrg6tWrWLp0KbZv345ly5bh2rVr6NixIz744AN3T5GIyqmwsDDs378fjz32mLunUu7kN4jZsGEDhg0bhtatW+OXX37B/PnzsX79egwaNEgxbu7cudi/f3+2P4GBgahSpQpat26tGF+7dm3s378f+/btw48//ohXXnkFqampGDJkCLp06YKEhASn8/n0008BAFarFZ9//rnTMefOnUOXLl1gNpvxzTffYO3atbhw4QIefvhh3L59WzH2zTffxLRp0zBo0CD8+uuvmDRpEhYvXozJkycrxv3zzz/YsGEDdDodevfu7fL9IyIiInInjbsnQEREREQ527t3L6ZPn47evXvjhx9+gEaT8c+3J598EgMHDsS0adPQvHlzdOjQwY0zdS41NRVGo9Hd0yCiAtLr9XjooYfcPY1CKQ9/D9lsNrz00kvo2bMnPvnkEwBA165d4e3tjREjRuCXX37Bo48+CgCoU6cO6tSpozh+9+7duHPnDubMmQO1Wq14zWg0ZvsaP/PMM1i3bh3Gjh2LCRMm4Ouvv1a8bjKZsGHDBjRt2hR37tzB2rVrMWvWrGzznjdvHvR6PbZs2QIfHx8AQMuWLVGvXj0sW7YMb7/9NgDg7t27WLRoEcaPH4/FixcDkKp1LBYL5syZg+nTp+OBBx4AAHTq1MkR4hw5cgRffvll/m8oERERUQljRQwRERFRKbZkyRIIgoBVq1YpQhgA0Gg0+OijjyAIAt56661sx8bExGDQoEHw8fGBr68vnnrqqWy/gfz777+jS5cuCAgIgNFoRPXq1fH4448jJSXFMcZsNmPRokWOdjFBQUF4+umns52rZs2a6NOnDzZt2oTmzZvDYDBg4cKFaN68OR5++OFs87PZbKhSpYrit7ldvZbFYsHLL7+M0NBQeHh4oGPHjjh06FCe99NisSA4OBgjR47M9lp8fDyMRiNefPFFAIDdbseiRYsQHh4Oo9EIPz8/NGnSBO+9916u15BbeW3cuBGzZs1CWFgYvLy80LdvX9y8eRP379/HhAkTEBgYiMDAQDz99NPZWgulpaVh9uzZqFWrFnQ6HapUqYLJkycjPj6+wPchNjYWEydORNWqVaHT6Rxtf6xWa573zZkjR46gX79+8Pf3h8FgQPPmzfHNN99kG3fgwAF06NDB0Upp9uzZ2VoNFfY6cquznTt34rnnnkNgYCACAgIwaNAgXL9+XTG2OL7nt2zZgubNm8NoNKJhw4bYsmWLY14NGzaEp6cn2rRpgyNHjjh9j6dPn0a3bt3g6emJoKAgTJkyRTGfnCQmJmLmzJmK75Pp06cjOTk5z2NFUcTSpUtRo0YNGAwGtGjRAr/88ku2cc5ak92+fRsTJkxAtWrVHPenQ4cO2L59u+LYyMhIdOvWDb6+vvDw8EDDhg2xZMmSbNf4559/0Lt3b3h5eaFatWqYMWMGTCaTYszChQvRtm1b+Pv7w8fHBy1atMCaNWsgiqJiXE5/DwHSfe7Zsyc8PDwQFBSEyZMn43//+5/T1nvbt29Ht27d4OPjAw8PD3To0AE7duzI876mpaVhxowZaNasGXx9feHv74927drhp59+UowTBAHJycn47LPPHK3BMreEy+rAgQO4ceMGnn76acX+IUOGwMvLCz/88EOu81qzZg0EQcDYsWPzfA+yp59+Gr1798a3336Ly5cvK1778ccfcffuXTzzzDMYPXo0Lly4gD///FMxxmq1YsuWLXj88ccdIQwA1KhRA127dlXMOTIyEmlpadne39NPPw1RFBWVQyoVf4xBREREZQ8rYoiIiIhKKZvNhp07d6JVq1aoWrWq0zHVqlVDy5Yt8fvvv8Nmsyl+03ngwIEYOnQonn32WZw+fRpz587FmTNncPDgQWi1WkRHR+Oxxx7Dww8/jLVr18LPzw/Xrl1DZGQkzGYzPDw8YLfb0b9/f+zZswcvv/wy2rdvj8uXL2P+/Pno0qULjhw5ovhN82PHjuHs2bOYM2cOatWqBU9PT1SuXBnTpk3DxYsXUa9ePcfY3377DdevX3f84C0/1xo/fjw+//xzzJw5Ez169MDff/+NQYMG4f79+7neU61Wi6eeegqrV6/Ghx9+qPjh4Jdffqn4QeDSpUuxYMECzJkzB506dYLFYsG5c+eyhSE5efXVV9G1a1esX78e0dHRmDlzJoYNGwaNRoOmTZviyy+/xF9//YVXX30V3t7eeP/99wFIPyAfMGAAduzYgdmzZ+Phhx/GyZMnMX/+fEeLIb1en6/7EBsbizZt2kClUmHevHmoU6cO9u/fj0WLFiE6Ohrr1q1z6T3Jdu7ciV69eqFt27ZYvXo1fH198dVXX+GJJ55ASkqKYy2TM2fOoFu3bqhZsybWr18PDw8PfPTRR9i4cWORXkf2zDPP4LHHHsPGjRsRExODl156CU899RR+//13ACiW7/kTJ05g9uzZeO211+Dr64uFCxdi0KBBmD17Nnbs2IHFixdDEATMmjULffr0QVRUlOJ4i8WC3r17Y+LEiXjllVewb98+LFq0CJcvX8bPP/+c471JSUlB586dcfXqVbz66qto0qQJTp8+jXnz5uHUqVPYvn07BEHI8fiFCxdi4cKFGDduHAYPHoyYmBiMHz8eNpsN4eHhuX5dRo4ciWPHjuHNN99E/fr1ER8fj2PHjuHu3buOMWvWrMH48ePRuXNnrF69GsHBwbhw4QL+/vtvxbksFgv69euHcePGYcaMGfjjjz/wxhtvwNfXF/PmzXOMi46OxsSJE1G9enUAUjDx/PPP49q1a4pxgPO/h27cuIHOnTvD09MTq1atQnBwML788ktMmTIl2/v74osvMGrUKPTv3x+fffYZtFotPv74Y0RERODXX39Ft27dcrw3JpMJcXFxmDlzJqpUqQKz2Yzt27dj0KBBWLduHUaNGgUA2L9/Px555BF07doVc+fOBQDF30dZyfetSZMmiv1arRYNGjTIdl8zS0hIwHfffYdu3bqhVq1aOY5zpl+/fti6dSv27NmDGjVqOPavWbMGer0eI0aMQFxcHJYsWYI1a9agY8eOjjGXLl1CampqtjnL72Pbtm1IS0uDwWBwzL9x48aKcWFhYQgMDMz1/RERERGVCSIRERERlUqxsbEiAPHJJ5/MddwTTzwhAhBv3rwpiqIozp8/XwQgvvDCC4pxGzZsEAGIX3zxhSiKovjdd9+JAMTjx4/neO4vv/xSBCB+//33iv2HDx8WAYgfffSRY1+NGjVEtVotnj9/XjH2zp07ok6nE1999VXF/qFDh4ohISGixWLJ17XOnj2b6/sbPXp0ju9HFEXx5MmTIgDx//7v/xT727RpI7Zs2dLxvE+fPmKzZs1yPZczO3fuFAGIffv2VeyfPn26CECcOnWqYv+AAQNEf39/x/PIyEgRgLh06VLFuK+//lox7/zch4kTJ4peXl7i5cuXFWOXLVsmAhBPnz7t2AdAnD9/frb3s3PnTse+Bg0aiM2bN3d87WR9+vQRw8LCRJvNJoqi9L1pNBrF2NhYxxir1So2aNBABCBGRUWJuXH1OuvWrRMBiJMmTVKMW7p0qQhAvHHjhiiKxfM9bzQaxatXrzr2HT9+XAQghoWFicnJyY79P/74owhA3Lx5s2Pf6NGjRQDie++9p7jWm2++KQIQ//zzT8W1Mn9NlyxZIqpUKvHw4cOKY+X3uHXr1hzf471790SDwSAOHDhQsX/v3r0iALFz586OfVFRUSIAcd26dY59Xl5e4vTp03M8//3790UfHx+xY8eOot1uz3Gc/P6/+eYbxf7evXuL4eHhOR5ns9lEi8Uivv7662JAQIDiGjn9PfTSSy+JgiAovtdFURQjIiIU39/Jycmiv79/ts+vzWYTmzZtKrZp0ybHeTljtVpFi8Uijhs3TmzevLniNU9Pzzz/vpLJ3xPy93JmPXv2FOvXr5/jsatWrRIBiF9++WW21zp37iw++OCDOR77yy+/iADEt99+27EvOjpaVKlUiv82de7cWfT09BQTExMd++TvJ2fXXbx4sQhAvH79uiiKojh+/HhRr9c7nUP9+vXFnj17On1N/lxm/v4kIiIiKo1Y00tERERUxonprXmy/vb7iBEjFM+HDh0KjUaDnTt3AgCaNWsGnU6HCRMm4LPPPsO///6b7dxbtmyBn58f+vbtC6vV6vjTrFkzhIaGZmvn06RJE9SvX1+xLyAgAH379sVnn30Gu90OALh37x5++uknjBo1ytFyzdVryfPP6f3lpXHjxmjZsqWiCuTs2bM4dOiQom1PmzZtcOLECUyaNAm//vorEhMT8zx3Zn369FE8b9iwIQBkW/S8YcOGiIuLc7Qnk6s3slZ7DBkyBJ6eno72SPm5D1u2bEHXrl1RuXJlxb2V15TYvXu3y+/rn3/+wblz5xzXzXy+3r1748aNGzh//rxjjt26dUNISIjjeLVajSeeeKJIryPr16+f4rn8m/hyW6Xi+J5v1qwZqlSp4nguf527dOkCDw+PbPuztngCsn8Nhw8fDiDja+zMli1b0KhRIzRr1kwxz4iICKettjLbv38/0tLSsl23ffv2iqqHnLRp0wbr16/HokWLcODAgWyt5vbt24fExERMmjQp16ocQPp7q2/fvop9TZo0yXaffv/9d3Tv3h2+vr5Qq9XQarWYN28e7t69i1u3bmU7PuvfQ7t370ajRo0c64zIhg0blm3ucXFxGD16tOK+2u129OrVC4cPH86z9du3336LDh06wMvLCxqNBlqtFmvWrMHZs2dzPc4VOd3P3O7zmjVrEBAQgIEDB+b7emKW1m8AsG7dOtjtdsXfl2PHjkVycnK2tWTymlvm11wdR0RERFQWMYghIiIiKqUCAwPh4eGBqKioXMdFR0fDw8MD/v7+iv2hoaGK5xqNBgEBAY72QXXq1MH27dsRHByMyZMnOxZ4zrwGys2bNxEfHw+dTgetVqv4Exsbizt37iiuERYW5nSOY8eOxbVr17Bt2zYAUhswk8mkCBtcvZY8/5zenyvGjh2L/fv349y5cwCkHyzq9XrFD2Vnz56NZcuW4cCBA3j00UcREBCAbt265bjOR1ZZvx46nS7X/WlpaY73p9FoEBQUpBgnCAJCQ0Md7z8/9+HmzZv4+eefs93XBx98EACyfR1zc/PmTQDAzJkzs51v0qRJivPdvXs32/yczbmw15Flfd9yC7fU1FQAxfM9X9Cvs8zZ10u+P5lbfTm7PydPnsw2R29vb4iimOvXNKfvnZz2ZfX1119j9OjR+PTTT9GuXTv4+/tj1KhRiI2NBQDHWjo5tVTMzMPDAwaDQbFPr9cr7tOhQ4fQs2dPAMAnn3yCvXv34vDhw3jttdcAZHx9Zc7+Hrp7964iEJRl3Sd/3w0ePDjbvX377bchiiLi4uJyfD+bNm3C0KFDUaVKFXzxxRfYv38/Dh8+jLFjx2b72ueH/D3i7HsiLi4u2/eb7OTJkzhy5Aieeuopx+chP+RArHLlygCkFpLr169H5cqV0bJlS8THxyM+Ph7du3eHp6cn1qxZ4/KcBUGAn5+fY2xaWprTtZFye39EREREZQXXiCEiIiIqpdRqNbp27YrIyEhcvXrV6Q81r169iqNHj+LRRx9VrA8DSOuCZP5NfavVirt37yp+6Pvwww/j4Ycfhs1mw5EjR7By5UpMnz4dISEhePLJJx2LnkdGRjqdo7e3t+J5Tr+1HBERgcqVK2PdunWIiIjAunXr0LZtW8Vvp7t6LXn+Ob0/VwwbNgwvvvgi1q9fjzfffBP//e9/MWDAAFSqVMkxRqPR4MUXX8SLL76I+Ph4bN++Ha+++ioiIiIQExOjqHYoSgEBAbBarbh9+7YijBFFEbGxsWjdurVjHODafQgMDESTJk3w5ptvOr2m/ENWVwQGBgKQgqpBgwY5HSOvMRIQEOD44XxmzvYV5jr5UdTf84Xl7HMp35/cgsXAwEAYjUasXbs2x9dzkvl7J6vY2FjUrFkz1zkHBgZixYoVWLFiBa5cuYLNmzfjlVdewa1btxAZGen4vr169Wqu53HVV199Ba1Wiy1btihCm8wLuGfm7O+hgIAAR8iSWdZ7IN+3lStX4qGHHnJ6fmeBjuyLL75ArVq18PXXXyvmYTKZcjzGFfLaKadOnVL8vWm1WnHu3LlslT0yORh55plnCnTdzZs3QxAEdOrUCQCwfft2Rzjj7PvzwIEDOHPmDB544AHUqVMHRqMRp06dyjbu1KlTqFu3ruPrmfn9tW3b1jFODj8bNWpUoPkTERERlRYMYoiIiIhKsdmzZ+OXX37BpEmT8MMPPyjCFpvNhueeew6iKGL27NnZjt2wYQNatmzpeP7NN9/AarWiS5cu2caq1Wq0bdsWDRo0wIYNG3Ds2DE8+eST6NOnD7766ivYbDbFD8fyS61WY+TIkVixYgX27NmDI0eO4OOPP1aMcfVa8vxzen+uqFSpEgYMGIDPP/8c7dq1Q2xsrKLNTlZ+fn4YPHgwrl27hunTpyM6Ojpbi6Oi0q1bNyxduhRffPEFXnjhBcf+77//HsnJyY6FwvNzH/r06YOtW7eiTp06irCpIMLDw1GvXj2cOHECixcvznVs165dsXnzZty8edPxw2ubzea0fVFhrlMQxf09nx8bNmzA1KlTHc83btwIAE4/q7I+ffpg8eLFCAgIyPcC7A899BAMBgM2bNiAxx9/3LF/3759uHz5cp5BTGbVq1fHlClTsGPHDuzduxeA1OLM19cXq1evxpNPPlnotlKCIECj0Sj+/ktNTcV///tfl8/RuXNnLFu2zBESyL766ivFuA4dOsDPzw9nzpzBlClTCjRXnU6neM+xsbH46aefso3V6/XZqnly0rZtW4SFhWH9+vWK1n7fffcdkpKSnIaVJpMJX3zxBdq0aVOgIGPdunX45ZdfMHz4cFSvXh2AFOyoVCps2rQJvr6+ivFXr17FyJEjsXbtWixbtgwajQZ9+/bFpk2bsHTpUkeIeeXKFezcuVPx91uvXr1gMBiwfv16xedu/fr1EAQBAwYMyPf8iYiIiEoTBjFEREREpViHDh2wYsUKTJ8+HR07dsSUKVNQvXp1XLlyBR9++CEOHjyIFStWoH379tmO3bRpEzQaDXr06IHTp09j7ty5aNq0KYYOHQoAWL16NX7//Xc89thjqF69OtLS0hy/Xd+9e3cAwJNPPokNGzagd+/emDZtGtq0aQOtVourV69i586d6N+/v8vrDowdOxZvv/02hg8fDqPRmG2dEFev1bBhQzz11FNYsWIFtFotunfvjr///hvLli2Dj4+Py/d27Nix+PrrrzFlyhRUrVrV8Z5lffv2RaNGjdCqVSsEBQXh8uXLWLFiBWrUqIF69eq5fJ386tGjByIiIjBr1iwkJiaiQ4cOOHnyJObPn4/mzZtj5MiRAJCv+/D6669j27ZtaN++PaZOnYrw8HCkpaUhOjoaW7duxerVq11qIyX7+OOP8eijjyIiIgJjxoxBlSpVEBcXh7Nnz+LYsWP49ttvAQBz5szB5s2b8cgjj2DevHnw8PDAhx9+mOcaG/m9jqtK+nveFTqdDu+++y6SkpLQunVr7Nu3D4sWLcKjjz6Kjh075njc9OnT8f3336NTp0544YUX0KRJE9jtdly5cgW//fYbZsyYkWOQVKlSJcycOROLFi3CM888gyFDhiAmJgYLFizIszVZQkICunbtiuHDh6NBgwbw9vbG4cOHERkZ6QgDvLy88O677+KZZ55B9+7dMX78eISEhOCff/7BiRMn8MEHH+TrHj322GP4z3/+g+HDh2PChAm4e/culi1blq9WW9OnT8fatWvx6KOP4vXXX0dISAg2btzoaE+oUqkcc1+5ciVGjx6NuLg4DB48GMHBwbh9+zZOnDiB27dvY9WqVTlep0+fPti0aRMmTZqEwYMHIyYmBm+88QbCwsJw8eJFxdjGjRtj165d+PnnnxEWFgZvb+8cq7zUajWWLl2KkSNHYuLEiRg2bBguXryIl19+GT169ECvXr2yHfPjjz8iLi4uz2qY1NRUHDhwwPH433//xY8//ogtW7agc+fOWL16NQCpxdhPP/2EiIgI9O/f3+m5li9fjs8//xxLliyBVqvFwoUL0bp1a/Tp0wevvPIK0tLSMG/ePAQGBmLGjBmO4/z9/TFnzhzMnTsX/v7+6NmzJw4fPowFCxbgmWeeyRZ8f/fddwDgWOfpyJEj8PLyAiC1lSMiIiIqdUQiIiIiKvX2798vDh48WAwJCRE1Go0YHBwsDho0SNy3b1+2sfPnzxcBiEePHhX79u0renl5id7e3uKwYcPEmzdvKs45cOBAsUaNGqJerxcDAgLEzp07i5s3b1acz2KxiMuWLRObNm0qGgwG0cvLS2zQoIE4ceJE8eLFi45xNWrUEB977LFc30f79u1FAOKIESOcvu7qtUwmkzhjxgwxODhYNBgM4kMPPSTu379frFGjhjh69GhXbqlos9nEatWqiQDE1157Ldvr7777rti+fXsxMDBQ1Ol0YvXq1cVx48aJ0dHRuZ53586dIgDx22+/Vexft26dCEA8fPiwYr/89bp9+7ZjX2pqqjhr1iyxRo0aolarFcPCwsTnnntOvHfvnuLY/NyH27dvi1OnThVr1aolarVa0d/fX2zZsqX42muviUlJSY5xAMT58+dnez87d+5UnO/EiRPi0KFDxeDgYFGr1YqhoaHiI488Iq5evVoxbu/eveJDDz0k6vV6MTQ0VHzppZfE//u//xMBiFFRUbneS1evk9O9zTr3kvqeByBOnjxZsS8qKkoEIL7zzjuOfaNHjxY9PT3FkydPil26dBGNRqPo7+8vPvfcc4qviXytrF/TpKQkcc6cOWJ4eLio0+lEX19fsXHjxuILL7wgxsbG5npf7Xa7uGTJErFatWqiTqcTmzRpIv78889i586dxc6dO2eb97p160RRFMW0tDTx2WefFZs0aSL6+PiIRqNRDA8PF+fPny8mJycrrrF161axc+fOoqenp+jh4SE+8MAD4ttvv53t/WclfyYyW7t2rRgeHi7q9Xqxdu3a4pIlS8Q1a9Zk+z7K7e+hv//+W+zevbtoMBhEf39/cdy4ceJnn30mAhBPnDihGLt7927xscceE/39/UWtVitWqVJFfOyxx7J9rp156623xJo1a4p6vV5s2LCh+Mknnzh9T8ePHxc7dOggenh4iAAU9z0nGzduFJs0aSLqdDoxNDRUnDp1qnj//n2nY3v06CF6enqKiYmJOZ6vc+fOIgDHH09PT7F27dri4MGDxW+//Va02WyOsStWrBABiD/++GOO51u9erUIQPz+++8d+44cOSJ269ZN9PDwEH18fMQBAwaI//zzj9Pj33vvPbF+/fqOv3Pnz58vms3mbOMyzznrHyIiIqLSSBBFUSyBvIeIiIiIiIioVJkwYQK+/PJL3L17Fzqdzt3TISIiIqJyiq3JiIiIiIiIqNx7/fXXUblyZdSuXRtJSUnYsmULPv30U8yZM4chDBEREREVKwYxREREREREVO5ptVq88847uHr1KqxWK+rVq4f//Oc/mDZtmrunRkRERETlHFuTERERERERERERERERFROVuydARERERERERERERERUXjGIISIiIiIiIiIiIiIiKiYMYoiIiIiIiIiIiIiIiIqJxt0TKCvsdjuuX78Ob29vCILg7ukQEREREREREREREZEbiaKI+/fvo3LlylCpcq57YRDjouvXr6NatWrungYREREREREREREREZUiMTExqFq1ao6vM4hxkbe3NwDphvr4+Lh5NqWHxWLBb7/9hp49e0Kr1bp7OkSUCT+fRGUDP6tEZQc/r0RlEz+7RGUHP69EZQM/qxkSExNRrVo1R36QEwYxLpLbkfn4+DCIycRiscDDwwM+Pj4V/kNHVNrw80lUNvCzSlR28PNKVDbxs0tUdvDzSlQ28LOaXV7LmeTctIyIiIiIiIiIiIiIiIgKhUEMERERERERERERERFRMWEQQ0REREREREREREREVEy4RgwRERERERERERFREbDZbLBYLO6eBlGxslgs0Gg0SEtLg81mc/d0ipVarYZGo8lzDZi8MIghIiIiIiIiIiIiKqSkpCRcvXoVoii6eypExUoURYSGhiImJqbQAUVZ4OHhgbCwMOh0ugKfg0EMERERERERERERUSHYbDZcvXoVHh4eCAoKqhA/nKaKy263IykpCV5eXlCpyu/qJ6Iowmw24/bt24iKikK9evUK/H4ZxBAREREREREREREVgsVigSiKCAoKgtFodPd0iIqV3W6H2WyGwWAo10EMABiNRmi1Wly+fNnxnguifN8lIiIiIiIiIiIiohLCShii8qcowiYGMURERERERERERERERMWEQQwREREREREREREREVExYRBDRERERERERERERERUTBjEEBEREREREREREVVAY8aMgSAIEAQBWq0WtWvXxsyZM5GcnOzuqRVYzZo1sWLFCndPw6no6GgIgoDjx4+7eypUwjTungARERERERERERERuUevXr2wbt06WCwW7NmzB8888wySk5OxatWqfJ9LFEXYbDZoNGX/x85msxk6nc7d06ByghUxREREREREREREREXNbnPPn3zS6/UIDQ1FtWrVMHz4cIwYMQI//vgjAOCLL75Aq1at4O3tjdDQUAwfPhy3bt1yHLtr1y4IgoBff/0VrVq1gl6vx549e3Dp0iX0798fISEh8PLyQuvWrbF9+3bFdWvWrIlFixZh1KhR8PLyQo0aNfDTTz/h9u3b6N+/P7y8vNC4cWMcOXJEcdy+ffvQqVMnGI1GVKtWDVOnTnVU8HTp0gWXL1/GCy+84Kj0ceW4zPMZM2YMfH19MX78eKf367vvvkPjxo1hNBoREBCA7t27K86zbt06NGzYEAaDAQ0aNMBHH33keK1WrVoAgObNm0MQBHTp0sVxH9u0aQNPT0/4+fmhQ4cOuHz5sqtfQioDyn40SURERERERERERFSa2G3A9a3uuXbl3oBKXeDDjUYjLBYLAKkq5I033kB4eDhu3bqFF154AWPGjMHWrcr39vLLL2PZsmWoXbs2/Pz8cPXqVfTu3RuLFi2CwWDAZ599hr59++L8+fOoXr2647jly5dj8eLFmDt3LpYvX46RI0eiQ4cOGDt2LN555x3MmjULo0aNwunTpyEIAk6dOoWIiAi88cYbWLNmDW7fvo0pU6ZgypQpWLduHTZt2oSmTZtiwoQJiiAlr+Nk77zzDubOnYs5c+Y4vTc3btzAsGHDsHTpUgwcOBD379/Hnj17IIoiAOCTTz7B/Pnz8cEHH6B58+b466+/MH78eHh6emL06NE4dOgQ2rRpg+3bt+PBBx+ETqeD1WrFgAEDMH78eHz55Zcwm804dOiQIkSiso9BDBERERERERERERHh0KFD2LhxI7p16wYAGDt2rOO12rVr4/3330ebNm2QlJQELy8vx2uvv/46evTo4XgeEBCApk2bOp4vWrQIP/zwAzZv3owpU6Y49vfu3RsTJ04EAMybNw+rVq1C69atMWTIEADArFmz0K5dO9y8eROhoaF45513MHz4cEyfPh0AUK9ePbz//vvo3LkzVq1aBX9/f6jVakcFjyyv4wwGAwDgkUcewcyZM3O8Pzdu3IDVasWgQYNQo0YNAEDjxo0dr7/xxht49913MWjQIABSBcyZM2fw8ccfY/To0QgKCnLcH3l+cXFxSEhIQJ8+fVCnTh0AQMOGDXOcA5VNDGKIiIiIiIiIiIiIipJKLVWmuOva+bBlyxZ4eXnBarXCYrGgf//+WLlyJQDgr7/+woIFC3D8+HHExcXBbrcDAK5cuYIHHnjAcY5WrVopzpmcnIyFCxdiy5YtuH79OqxWK1JTU3HlyhXFuCZNmjgeh4SEAFAGG/K+W7duITQ0FEePHsU///yDDRs2OMaIogi73Y6oqKgcAwxXj8v6PrJq2rQpunXrhsaNGyMiIgI9e/bE4MGDUalSJdy+fRsxMTEYN26cohrHarXC19c3x3P6+/tjzJgxiIiIQI8ePdC9e3cMHToUYWFhuc6FyhYGMURERERERERERERFrRDtwUpS165dsWrVKmi1WlSuXBlarRaAFKb07NkTPXv2xBdffIGgoCBcuXIFERERMJvNinN4enoqnr/00kv49ddfsWzZMtStWxdGoxGDBw/Odpx8LQCOVlzO9skBkN1ux8SJEzF16tRs7yNzy7OsXD0u6/vISq1WY9u2bdi3bx9+++03rFy5Eq+99hoOHjwIDw8PAFJ7srZt22Y7Ljfr1q3D1KlTERkZia+//hpz5szBtm3b8NBDD+V6HJUdDGKIiIiIiIiIiIiIKihPT0/UrVs32/5z587hzp07eOutt1CtWjUAwJEjR1w65549ezBmzBgMHDgQAJCUlITo6OhCz7VFixY4ffq00/nKdDodbDZbvo9zlSAI6NChAzp06IB58+ahRo0a+OGHH/Diiy+iSpUq+PfffzFixIgc5wYg2/wAoHnz5mjevDlmz56Ndu3aYePGjQxiyhGVuydARERERERERERERKVL9erVodPpsHLlSvz777/YvHkz3njjDZeOrVu3LjZt2oTjx4/jxIkTGD58uKOqpTBmzZqF/fv3Y/LkyTh+/DguXryIzZs34/nnn3eMqVmzJv744w9cu3YNd+7ccfk4Vxw8eBCLFy/GkSNHcOXKFWzatAm3b992tDZbsGABlixZgvfeew8XLlzAqVOnsG7dOvznP/8BAAQHB8NoNCIyMhI3b95EQkICoqKiMHv2bOzfvx+XL1/Gb7/9hgsXLnCdmHKGQQwRERERERERERERKQQFBWH9+vX49ttv8cADD+Ctt97CsmXLXDp2+fLlqFSpEtq3b4++ffsiIiICLVq0KPScmjRpgt27d+PixYt4+OGH0bx5c8ydO1exnsrrr7+O6Oho1KlTB0FBQS4f5wofHx/88ccf6N27N+rXr485c+bg3XffxaOPPgoAeOaZZ/Dpp59i/fr1aNy4MTp37oz169ejVq1aAACNRoP3338fH3/8MSpXroz+/fvDw8MD586dw+OPP4769etjwoQJmDJlCiZOnFjo+0WlhyCKoujuSZQFiYmJ8PX1RUJCAnx8fNw9nVLDYrFg69at6N27t6J/IxG5Hz+fRGUDP6tEZQc/r0RlEz+7RGVHWf68pqWlISoqCrVq1YLBYHD3dIiKld1uR2JiInx8fKBSlf9aj9w+367mBuX/LhEREREREREREREREbkJgxgiIiIiqtgs9wFbmrtnQUREREREROUUgxgiIiIiqrhMd4Fbu4HbfwJi4RcPJSIiIiIiIsqKQQwRERERVUx2G3DvOCCKgDUVSL7i7hkRERERERFROcQghoiIiIgqpsSzgDUFENL/SXz/IqtiiIiIiIiIqMgxiCEiIiKiiiftDpAUJT32bwWoDdI6MayKISIiIiIioiLGIIaIiIiIKha7FYg/IT32rAEYQwDvetJzVsUQERERERFREWMQQ0REREQVi9ySTGMEfB+Q9nlWz6iKSYlx7/yIiIiIiIioXNG4ewJERERERCXGZgaSL0uP/ZoBqvR/DgsqwLsuEP+3VBXjUS1j7ZjSwnwPSLwI2E2A3Sz9UWmBgIcArZe7Z0dEREREREQ5KGX/d0lEREREVIzMdwFRBLTegCFQ+ZpnDakqxppa+qpibGbgziEg7SZgjpcqeuxWaa53D0mvExEREREVo5o1a2LFihXunkaRKcj7GTNmDAYMGOB43qVLF0yfPr3Qc4mOjoYgCDh+/Hihz0WlE4MYIiIiIqo4THelrT4w+2tyVQyQUTVTWiSclipgtN5AQBsguCMQ3AnQeADWZCDuCNe2ISIiIqICiYmJwbhx41C5cmXodDrUqFED06ZNw927d909tVJv06ZNeOONN9w9DSoD2JqMiIiIiCoO0x1pqw9w/roxTGpPZkmUKk5UpeCfy2l3gJSr0uNKTQFdpYzXAtoAt/+UAqb4k0ClZm6ZIhERERFlsNtF3Etxb8VyJQ8dVCohz3H//vsv2rVrh/r16+PLL79ErVq1cPr0abz00kv45ZdfcODAAfj7+5fAjLOz2WwQBAEqVemtJXDXvXGV2WyGTqdz9zQIDGKIiIiIqKKwmQDLfemxLocgRm0ANEap5Zc5Pnv7spJmt0kBCwB41VSGMIBUIePfUmpPlhwDaLwB7zolPk0iIiIiynAvxYyWi7a7dQ5H53RHgJc+z3GTJ0+GTqfDb7/9BqPRCACoXr06mjdvjjp16uC1117DqlWrHOPv37+P4cOHY/PmzfDx8cHs2bPx/PPPO15fsGAB1q5di5s3byIgIACDBw/G+++/D0AKBebMmYMNGzYgPj4ejRo1wttvv40uXboAANavX4/p06fjiy++wMsvv4wLFy7gww8/xLRp0xAbGws/Pz/HdaZOnYoTJ05g9+7dAIB9+/bhlVdeweHDhxEYGIiBAwdiyZIl8PT0BADcunUL48aNw/bt2xEaGopFixbleW9sNhteeuklrF27Fmq1GuPGjYMoiooxXbp0QbNmzRwtzj766CMsX74cMTEx8PX1xcMPP4zvvvsOAGC32/HOO+/gk08+QUxMDEJCQjBx4kS89tprjvP9+++/eOGFF3Dw4EHUq1cPq1evRrt27QAAd+/exZQpU7Bnzx7ExcWhTp06ePXVVzFs2DDFfBo1agSdTofPP/8cDz74IHbv3o3NmzdjxowZuHr1Kh566CGMGTMGY8aMwb179xz3Na97SIVTeuNEIiIiIqKiJLcl0/oA6lx+K0yX/ltt5nvFP6e83L8otR5TGwCfhs7HGIIB3welxwlnpAoaIiIiIqI8xMXF4ddff8WkSZMcIYwsNDQUI0aMwNdff60IH9555x00adIEx44dw+zZs/HCCy9g27ZtAIDvvvsOy5cvx8cff4yLFy/ixx9/ROPGjR3HPv3009i7dy+++uornDx5EkOGDEGvXr1w8eJFx5iUlBQsWbIEn376KU6fPo2nnnoKfn5++P777x1jbDYbvvnmG4wYMQIAcOrUKURERGDQoEE4efIkvv76a/z555+YMmWK45gxY8YgOjoav//+O7777jt89NFHuHXrVq73591338XatWuxZs0a/Pnnn4iLi8MPP/yQ4/gjR45g6tSpeP3113H+/HlERkaiU6dOjtdnz56Nt99+G3PnzsWZM2ewceNGhISEKM7x2muvYebMmTh+/Djq16+PYcOGwWq1AgDS0tLQsmVLbNmyBX///TcmTJiAkSNH4uDBg4pzfPbZZ9BoNNi7dy8+/vhjREdHY/DgwRgwYACOHz+eLfxx9R5S4bAihoiIiIgqBnMu68NkpqsEpFwDzHHFP6fcWO4DSZekx36Ncm+T5lVLaqeWfAW4dwwI7gyo8/4NSCIiIiKquC5evAhRFNGwofNf+GnYsCHu3buH27dvIzg4GADQoUMHvPLKKwCA+vXrY+/evVi+fDl69OiBK1euIDQ0FN27d4dWq0X16tXRpk0bAMClS5fw5Zdf4urVq6hcuTIAYObMmYiMjMS6deuwePFiAIDFYsFHH32Epk2bOubxxBNPYOPGjRg3bhwAYMeOHbh37x6GDBkCQAqHhg8fjunTpwMA6tWrh/fffx+dO3fGqlWrcOXKFUebtbZt2wIA1qxZk+P7lq1YsQKzZ8/G448/DgBYvXo1fv311xzHX7lyBZ6enujTpw+8vb1Ro0YNNG/eHIBUSfTee+/hgw8+wOjRowEAderUQceOHRXnmDlzJh577DEAwMKFC/Hggw/in3/+QYMGDVClShXMnDnTMfb5559HZGQkvv32W8f7AoC6deti6dKljuevvPIKwsPD8c477wAAwsPD8ffff+PNN990jMnrHhoMhlzvFeWNFTFEREREVDHktT6MLHNFTJbWAyXq/gVAtAPGUGntmrz4NpJaldlMwL2/3Dt3IiIiIirz5EoYQchYa0Zuk5X5+dmzZwEAQ4YMQWpqKmrXro3x48fjhx9+cFRzHDt2DKIoon79+vDy8nL82b17Ny5duuQ4n06nQ5MmTRTXGDFiBHbt2oXr168DADZs2IDevXujUiWpbe/Ro0exfv16xXkjIiJgt9sRFRWFs2fPQqPRoFWrVo5zNmjQQNHqLKuEhATcuHFD8X6zniOrHj16oEaNGqhduzZGjhyJDRs2ICUlBQBw9uxZmEwmdOvWLcfjASjee1iY9P8AcuWOzWbDm2++iSZNmiAgIABeXl747bffcOXKFcU5ss7x/PnzaN26tWKfHJDJ8rqHVHisiCEiIiKi8s9mAixJ0uO8ghitNyCoAbsFsCZJz0uaLQ1IvSE99gl37RiVWlov5tYeIO22VE3jXbf45khERERETlXy0OHonO5un0Ne6tatC0EQcObMGQwYMCDb6+fOnUOlSpUQGJh7Rbkc1FSrVg3nz5/Htm3bsH37dkyaNAnvvPMOdu/eDbvdDrVajaNHj0KtViuO9/Lycjw2Go2K4AeQQoM6dergq6++wnPPPYcffvgB69atc7xut9sxceJETJ06NdvcqlevjvPnzyvmWVy8vb1x7Ngx7Nq1C7/99hvmzZuHBQsW4PDhw9lav+VEq9U6HsvztdvtAKRWacuXL8eKFSvQuHFjeHp6Yvr06TCbzYpzZF3TRRTFbO8961o3ed1DKjwGMURERERU/snVMDpfQKXNfaygAnR+0poy5nvuCWKSY6SKFr2/tKaNq7TeUhuzeyeAxHNSdY/ev/jmSURERETZqFQCArxKf5vYgIAA9OjRAx999BFeeOEFRVgQGxuLDRs2YNSoUYof4h84cEBxjgMHDqBBgwaO50ajEf369UO/fv0wefJkNGjQAKdOnULz5s1hs9lw69YtPPzww/me6/Dhw7FhwwZUrVoVKpXK0b4LAFq0aIHTp0+jbl3nv4TUsGFDWK1WHDlyxFEJcv78ecTHx+d4PV9fX4SFheHAgQOOdV6sViuOHj2KFi1a5HicRqNB9+7d0b17d8yfPx9+fn74/fff0bt3bxiNRuzYsQPPPPNMvt8/AOzZswf9+/fHU089BUAKTy5evJhni7UGDRpg69atin1HjhxRPM/rHlLhsTUZEREREZV/pvT1YXR5VMPIHO3J3LBOjCgCKZelx5418n+8Z3XAo4p0nrgj0lozREREREROfPDBBzCZTIiIiMAff/yBmJgYREZGokePHqhSpYpiHREA2Lt3L5YuXYoLFy7gww8/xLfffotp06YBANavX481a9bg77//xr///ov//ve/MBqNqFGjBurXr48RI0Zg1KhR2LRpE6KionD48GG8/fbb2UICZ0aMGIFjx47hzTffxODBgxVrlsyaNQv79+/H5MmTcfz4cVy8eBGbN2/G888/D0BaE6VXr14YP348Dh48iKNHj+KZZ57Js0pl2rRpeOutt/DDDz/g3LlzmDRpUq7hzZYtW/D+++/j+PHjuHz5Mj7//HPY7XaEh4fDYDBg1qxZePnll/H555/j0qVLOHDgANasWZPne5fVrVsX27Ztw759+3D27FlMnDgRsbGxeR43ceJEnDt3DrNmzcKFCxfwzTffYP369QAyqm7yuodUeAxiiIiIiKj8c6wPk3tbBQed1G8a5nvFM5/cpN0CrKlS5Y6xcsHO4ddEqqSxmYDbe93zPoiIiIio1KtXrx6OHDmCOnXq4IknnkCdOnUwYcIEdO3aFfv374e/v7K6esaMGTh69CiaN2+ON954A++++y4iIiIAAH5+fvjkk0/QoUMHNGnSBDt27MDPP/+MgADpl6HWrVuHUaNGYcaMGQgPD0e/fv1w8OBBVKtWzaV5tm7dGidPnsSIESMUrzVp0gS7d+/GxYsX8fDDD6N58+aYO3euY40V+drVqlVD586dMWjQIEyYMAHBwcG5XnPGjBkYNWoUxowZg3bt2sHb2xsDBw7Mcbyfnx82bdqERx55BA0bNsTq1avx5Zdf4sEHHwQAzJ07FzNmzMC8efPQsGFDPPHEE471X1wxd+5ctGjRAhEREejSpQtCQ0OdtpTLqlatWvjuu++wadMmNGnSBKtWrcJrr70GANDrpcotV+4hFY4gZm0IR04lJibC19cXCQkJ8PHJR3uIcs5isWDr1q3o3bu3oochEbkfP59EZQM/qyXAlgbc2AYIAhAWkXdrMkBaH+Z6pPQ4LAJQ591ju8jcOSiFMd51AN8HCn4eu0U6l/metOZNQGvAEFR086yA+HklKpv42SUqO8ry5zUtLQ1RUVGoVauWolqDqDR68803sXr1asTExBToeLvdjsTERPj4+EClKv+1Hrl9vl3NDcr/XSIiIiKiik1uS6b1cS2EAaRx2vRFQ0uymsSaIoUwQMHakmWm0gKBD0nhi2gD7h4CUvNuXUBEREREROXLRx99hMOHDztaxr3zzjsYPXq0u6dVoWjcPQEiIiIiomKV37ZkMp0/YEmSghhjSNHPy5nk9LVhDEGAxrPw51NpgIA2QNwxIPUGEHcUCGgLGPJ5L4iIiIiIqMy6ePEiFi1ahLi4OFSvXh0zZszA7Nmz3T2tCoVBDBERERGVbwUOYioByVcAc1zRz8kZ0S5dDyh8NUxmggrwbymFMKk3gLjDQFAHqUKIiIiIiIjKveXLl2P58uXunkaFxtZkRERERFR+mROkdl+CGtAF5O9YXfrCpOZ7UkhS3FJjAbsZUBsAQxFX4AgC4N8C0PsDdqu0dow1tWivQURERERERE4xiCEiIiKi8iv1urQ1BAMqdf6O1XhK66yIdsCSWPRzy0qeq0dVqYqlqAkqqU2Z1huwpQF3DwB2S9Ffh4iIiIiIiBQYxBARERFR+SWHG8bK+T9WEDJVxRRzezK7DUi7JT0uyFxdpdJKa8SoDdL6N/Eni+9aREREREREBIBBDBERERGVV5nbkhW01ZeuUvq54otsWk6ZbgGiDdB4ADrf4r2WxihVxgBAynXAcr94r0dERERERFTBMYghIiIiovKpMG3JZHIoUtytyVJvSFtjWPFeR6bzzbjW/Qslc00iIiIiIqIKikEMEREREZVPhWlLJtP6SFtrkrRWTHEQ7UDaTelxSQUxAOBTX9qyKoaIiIiIiKhYMYghIiIiovKnKNqSAdJaKiodIIrFF1ak3QbsVulaWr/iuYYzWh9WxRARERFRmRQdHQ1BEHD8+PEcx+zatQuCICA+Pr7E5kWUEwYxRERERFT+FEVbMplcFVNc7cnSMrUlE4TiuUZOWBVDREREVKGNGTMGgiBk+9OrVy93T42oXNG4ewJEREREREWuKNqSybQ+gOlO8QQxoh1IjZUel2RbMpnWBzCGSnO4fxHwb1HycyAiIiIqb+x2IDXOvXMw+gMq134Hv1evXli3bp1in16vL45ZEVVYrIghIiIiovKlqNqSyRwVMQmFP1dWpruA3QKo9YDOv+jP7wqfcGmbcg2wJLlnDkRERETlSWoc8E4d9/7JRxCk1+sRGhqq+FOpUiXH64Ig4NNPP8XAgQPh4eGBevXqYfPmzY7X7927hxEjRiAoKAhGoxH16tVTBDvXrl3DE088gUqVKiEgIAD9+/dHdHS04/UxY8ZgwIABWLx4MUJCQuDn54eFCxfCarXipZdegr+/P6pWrYq1a9dmm/u5c+fQvn17GAwGPPjgg9i1a1eu73Xfvn3o1KkTjEYjqlWrhqlTpyI5OTnH8QsWLECzZs2wdu1aVK9eHV5eXnjuuedgs9mwdOlShIaGIjg4GG+++abiuISEBEyYMAHBwcHw8fHBI488ghMnTjhev3TpEvr374+QkBB4eXmhdevW2L59u+IcNWvWxOLFizF27Fh4e3ujevXq+L//+79c3x+VXgxiiIiIiKh8SbkibYuiLRlQvK3JUtPbkhlCS74tmUyuigGA5Cj3zIGIiIiISrWFCxdi6NChOHnyJHr37o0RI0YgLk4Ke+bOnYszZ87gl19+wdmzZ7Fq1SoEBgYCAFJSUtC1a1d4eXnhjz/+wJ9//gkvLy/06tULZrPZcf7ff/8d169fxx9//IH//Oc/WLBgAfr06YNKlSrh4MGDePbZZ/Hss88iJiZGMa+XXnoJM2bMwF9//YX27dujX79+uHv3rtP3cOrUKURERGDQoEE4efIkvv76a/z555+YMmVKru/90qVL+OWXXxAZGYkvv/wSa9euxWOPPYarV69i9+7dePvttzFnzhwcOHAAACCKIh577DHExsZi69atOHr0KFq0aIFu3bo57llSUhJ69+6N7du346+//kJERAT69u2LK1euKK797rvvolWrVvjrr78wadIkPPfcczh37lw+vnJUWjCIISIiIqLywZYG3DkIJEVLzz2qFs15td5SSGK3SNcoKqIIpLmxLVlmnjWkbWqsNC8iIiIiqjC2bNkCLy8vxZ833nhDMWbMmDEYNmwY6tati8WLFyM5ORmHDh0CAFy5cgXNmzdHq1atULNmTXTv3h19+/YFAHz11VdQqVT49NNP0bhxYzRs2BDr1q3DlStXFNUr/v7+eP/99xEeHo6xY8ciPDwcKSkpePXVV1GvXj3Mnj0bOp0Oe/fuVcxrypQpePzxx9GwYUOsWrUKvr6+WLNmjdP3+c4772D48OGYPn066tWrh/bt2+P999/H559/jrS0nP+db7fbsXbtWjzwwAPo27cvunbtivPnz2PFihUIDw/H008/jfDwcMf72blzJ06dOoVvv/0WrVq1Qr169bBs2TL4+fnhu+++AwA0bdoUEydOROPGjVGvXj0sWrQItWvXVlQaAUDv3r0xadIk1K1bF7NmzUJgYGCeVT9UOnGNGCIiIiIq+5JjgITTUlgiqKR2W3KVR2EJKkDjJS1mb04AjIaiOa/5HmAzASotoA8omnMWlD5QmoctTZqX3k1t0oiIiIioxHXt2hWrVq1S7PP3V/57sEmTJo7Hnp6e8Pb2xq1btwAAzz33HB5//HEcO3YMPXv2xIABA9C+fXsAwNGjR/HPP//A29tbcb60tDRcunTJ8fzBBx+EKtOaNiEhIWjUqJHjuVqtRkBAgOOasnbt2jkeazQatGrVCmfPnnX6PuW5bNiwwbFPFEXY7XZERUWhYcOGTo+rWbOmYv4hISFQq9XZ5ivP7ejRo0hKSkJAgPLf+KmpqY73nJycjIULF2LLli24fv06rFYrUlNTs1XEZL7vgiAgNDQ02z2gsoFBDBERERGVbQnnpIXmAUDnB1RqJlWxFCWtjxTEWBIBYxGsOwMApjvS1hAkhT3uJKik9XRSrkrt0hjEEBERERWc0R946VLe44p7Di7y9PRE3bp1cx2j1WoVzwVBgN1uBwA8+uijuHz5Mv73v/9h+/bt6NatGyZPnoxly5bBbrejZcuWivBDFhQUlOv5c7tmboQcWv7a7XZMnDgRU6dOzfZa9erVczxffudmt9sRFhbmtHLFz88PgNRS7ddff8WyZctQt25dGI1GDB48WNGuLadru3IPqPRhEENEREREZZcpLiOE8WkAeNctnrVWtD4ArgHWIlwnRg5i9IFFd87CMIZJQUzaDQAPuns2RERERGWXSgV4lpJ/45WQoKAgjBkzBmPGjMHDDz+Ml156CcuWLUOLFi3w9ddfOxatL2oHDhxAp06dAABWqxVHjx7Ncc2XFi1a4PTp03mGToXVokULxMbGQqPRoGbNmk7H7NmzB2PGjMHAgQMBSGvGREdHF+u8yL24RgwRERERlU12G3DvuPTYsxrgU6/4FrzXpv9Po6WIghjRLrUAAwCdm9uSyfRBgKAGrKmAOd7dsyEiIiKiEmIymRAbG6v4c+fOHZePnzdvHn766Sf8888/OH36NLZs2eJo8zVixAgEBgaif//+2LNnD6KiorB7925MmzYNV69eLfTcP/zwQ/zwww84d+4cJk+ejHv37mHs2LFOx86aNQv79+/H5MmTcfz4cVy8eBGbN2/G888/X+h5ZNa9e3e0a9cOAwYMwK+//oro6Gjs27cPc+bMwZEjRwAAdevWxaZNm3D8+HGcOHECw4cPZ6VLOccghoiIiIjKpsSzgDUZUBsA32Ku4JCDGGuyFAAVlvmeFMao9YDWq/DnKwoqdUbbtdQb7p0LEREREZWYyMhIhIWFKf507NjR5eN1Oh1mz56NJk2aoFOnTlCr1fjqq68AAB4eHvjjjz9QvXp1DBo0CA0bNsTYsWORmppaJBUyb731Ft5++200bdoUe/bswU8//YTAQOfVSE2aNMHu3btx8eJFPPzww2jevDnmzp2LsLCwQs8jM0EQsHXrVnTq1Aljx45F/fr18eSTTyI6OhohIdK/t5cvX45KlSqhffv26Nu3LyIiItCiRYsinQeVLoIoiqK7J1EWJCYmwtfXFwkJCcVSRldWWSwWbN26Fb17987Ws5CI3IufT6KygZ/VAkq7A9zZLz0OfEhaZ6W4Xf8VsJuB4IeltWgKI/ECkHge8KgM+LcskukViZTrQNxRQOMJhD7i7tmUOvy8EpVN/OwSlR1l+fOalpaGqKgo1KpVCwaDwd3TISpWdrsdiYmJ8PHxgUpV/ms9cvt8u5oblP+7RERERETli90KxJ+QHnvWKJkQBija9mSmu9K2tKwPIzMEA4JKqvwpqjZsREREREREFRyDGCIiIiIqW1KuANYUQOMB+D5QctctqiBGtAPmOOlxaVkfRqbSSGEMwPZkRERERERERYRBDBERERGVLXIQ4lFNCg5KSlEFMeb40rc+TGbG9B7ZDGKIiIiIiIiKBIMYIiIiIipbLEnSVutdstfV+aZfv5BBjOmOtNWXsmoYmSEEEATAcl9qUUZERERERESFwiCGiIiIiMoWa3oQoynhahKNlxRQ2C2ANbXg55HXhyltbclkKm3G2jVpN907FyIiIiIionKAQQwRERERlR02kxSECAKg8SzZawuqjPCnoFUxoh0w35Mey2FHaSTPTQ6NiIiIiIiIqMAYxBARERFR2SFXw6g9pGCkpBV2nRhzPCDaSu/6MDKdv7Q1xbl3HkREREREROUAgxgiIiIiKjvc1ZZMpklfl8Z6v2DHyxUmpXV9GJnOTwq67GauE0NERERERFRIDGKIiIiIqOywpAcx7qom0cpBTFLBjjeX8vVhZIIK0FWSHrM9GRERERERUaEwiCEiIiKiskOuRHFbRYy8RkwSIIr5O1a0Z7T6Ku0VMUBGezIz25MRERERUXa7du2CIAiIj4/PdVzNmjWxYsWKIrtuly5dMH369Hwds2DBAjRr1szxfMyYMRgwYECRzEcQBPz4449Fcq6SNHLkSCxevNjd03Ark8mE6tWr4+jRo8V+LQYxRERERFR2uL01mQcgCNI6L7a0/B1rSZSOU+kyKmtKMz3XiSEiIiKqCGJjY/H888+jdu3a0Ov1qFatGvr27YsdO3bkelz79u1x48YN+Pr6AgDWr18PPz+/bOMOHz6MCRMmFMfUC+y9997D+vXr3T0Ntzl58iT+97//4fnnn3fsGzNmDARBUPx56KGHFMeZTCY8//zzCA4ORpUqVdC/f39cvXpVMebevXsYOXIkfH194evri5EjR+YZ1hXEihUr8Oijj6JHjx4YP348xCy/KDdmzBi88soruZ5Dr9dj5syZmDVrVpHPLysGMURERERUNthtgDVVeuyuIEZQARpP6XF+25OZ70lbueVXaSfP05qc/9CJiIiIiMqE6OhotGzZEr///juWLl2KU6dOITIyEl27dsXkyZNzPM5isUCn0yE0NBSCIOR6jaCgIHh4eBT11AvF19fXaWhUWpjN5mI9/wcffIAhQ4bA21v5C2K9evXCjRs3HH+2bt2qeH369On44YcfsHHjRvzyyy9ITk5Gnz59YLPZHGOGDx+O48ePIzIyEpGRkTh+/DhGjhxZ5O9h+vTpqFKlCi5duoSNGzfi/v2MdTztdjv+97//oX///nmeZ8SIEdizZw/Onj1b5HPMjEEMEREREZUNtvRF41U6QK1z3zw08jox93Mfl5U5Xtrq/IpyNsVHpQW0PtJjVsUQERERFUhycjKSk5MVv61vNpuRnJwMk8nkdKzdbnfss1gsSE5ORlpamktj82vSpEkQBAGHDh3C4MGDUb9+fTz44IN48cUXceDAAcc4QRCwevVq9O/fH56enli0aJGiNdmuXbvw9NNPIyEhwVFNsWDBAgDZW5PFx8djwoQJCAkJgcFgQKNGjbBlyxYAwN27dzFs2DBUrVoVHh4eaNy4Mb788st8v6+33noLISEh8Pb2xrhx47Ldv6ytyb777js0btwYRqMRAQEB6N69O5KTkx2vr127Fg8++CD0ej3CwsIwZcoUxfnu3LmDgQMHwsPDA/Xq1cPmzZsdr9lsNowbNw61atWC0WhEeHg43nvvPafzWbJkCSpXroz69esDAPbt24dmzZrBYDCgVatW+PHHHyEIAo4fP+449syZM+jduze8vLwQEhKCkSNH4s6dOzneG7vdjm+//Rb9+vXL9pper0doaKjjj7+/v+O1hIQErFmzBu+++y66d++OJk2a4PPPP8epU6ewfft2AMDZs2cRGRmJTz/9FO3atUO7du3wySefYMuWLTh//nyOc6pZsyYWLVqEUaNGwcvLCzVq1MBPP/2E27dvo3///vDy8kLjxo1x5MgRxXGffvop/vrrL7z00kuKUGnv3r1QqVRo27YtzGYzpkyZgrCwMBgMBtSsWRNLlixxjA0ICED79u0L9H2WHwxiiIiIiKhssKRXoGjdVA0jy7xOTH44KmL8inQ6xUpey4brxBAREREViJeXF7y8vBQ/GH/nnXfg5eWV7Yf5wcHB8PLywpUrVxz7PvzwQ3h5eWHcuHGKsTVr1oSXl5fit/jz22orLi4OkZGRmDx5Mjw9PbO9nrViZP78+ejfvz9OnTqFsWPHKl5r3749VqxYAR8fH0c1xcyZM7Od026349FHH8W+ffvwxRdf4MyZM3jrrbegVqsBAGlpaWjZsiW2bNmCv//+GxMmTMDIkSNx8OBBl9/XN998g/nz5+PNN9/EkSNHEBYWho8++ijH8Tdu3MCwYcMwduxYnD17Frt27cKgQYMc4dmqVaswefJkTJgwAadOncLmzZtRt25dxTkWLlyIoUOH4uTJk+jduzdGjBiBuLg4x3uuWrUqvvnmG5w5cwbz5s3Dq6++im+++UZxjh07duDs2bPYtm0btmzZgvv376Nv375o3Lgxjh07hjfeeCNbC60bN26gc+fOaNasGY4cOYLIyEjcvHkTQ4cOzfH9njx5EvHx8WjVqlW213bt2oXg4GDUr18f48ePx61btxyvHT16FBaLBT179nTsq1y5Mho1aoR9+/YBAPbv3w9fX1+0bdvWMeahhx6Cr6+vY0xOli9fjg4dOuCvv/7CY489hpEjR2LUqFF46qmncOzYMdStWxejRo1yfF3kcM1gMOCzzz7DiRMnHOfavHkz+vbtC5VKhffffx+bN2/GN998g/Pnz+OLL75AzZo1Fddu06YN9uzZk+v8CktTrGcnIiIiIioq7l4fRqYtQEWM3SK1+AIArV+RT6nY6PwBRDGIISIiIiqH/vnnH4iiiAYNGrg0fvjw4YoAJioqyvFYp9PB19cXgiAgNDQ0x3Ns374dhw4dwtmzZx1VH7Vr13a8XqVKFUWA8/zzzyMyMhLffvut4of7uVmxYgXGjh2LZ555BgCwaNEibN++PVtVjOzGjRuwWq0YNGgQatSoAQBo3Lix4/VFixZhxowZmDZtmmNf69atFecYM2YMhg0bBgBYvHgxVq5ciUOHDqFXr17QarVYuHChY2ytWrWwb98+fPPNN4rAxNPTE59++il0Oqn6f/Xq1RAEAZ988gkMBgMeeOABXLt2DePHj3ccs2rVKrRo0QKLFy927Fu7di2qVauGCxcuOO5xZtHR0VCr1QgODlbsf/TRRzFkyBDUqFEDUVFRmDt3Lh555BEcPXoUer0esbGx0Ol0qFSpkqISKyQkBLGxsQCk9YaynheQQkZ5TE569+6NiRMnAgDmzZuHVatWoXXr1hgyZAgAYNasWWjXrh1u3ryJ0NBQDB06FAkJCbh79y66d++ORo0aOc61efNmLFu2DABw5coV1KtXDx07doQgCI6vcWZVqlRBdHR0rvMrLAYxRERERFQ2lJYgpiAVMXJbMo2ne9uq5Zc+vRWBJRGwWwEV//eBiIiIKD+SkqR/M2ZeI+Wll17C9OnTodEo/20lVx8YjUbHvsmTJ2P8+PGOihGZ/EPjzGPHjBmTr7nJlQV5rfEic1ZBkV/Hjx9H1apVnQYEgNTG66233sLXX3+Na9euwWQywWQyOa3YycnZs2fx7LPPKva1a9cOO3fudDq+adOm6NatGxo3boyIiAj07NkTgwcPRqVKlXDr1i1cv34d3bp1y/WaTZo0cTz29PSEt7e3oppk9erV+PTTT3H58mWkpqbCbDajWbNminM0btzYEcIAwPnz59GkSRMYDAbHvjZt2iiOOXr0KHbu3Akvr+z/j3Tp0iWn9zk1NRV6vT7b1/2JJ55wPG7UqBFatWqFGjVq4H//+x8GDRqU43sXRVFxLmffT1nHOJP5HoaEhABQBmLyvlu3biE0NFTR/i2zs2fP4urVq+jevTsA6XPRo0cPhIeHo1evXujTp4+iqgeQPkcpKSm5zq+w2JqMiIiIiMoGS3oFSmkJYuxmwObiIpplbX0YmdoAaDwAUcxorUZERERELvP09ISnp6fih9A6nQ6enp7Q6/VOx6pUGT+y1Wq18PT0VPwwPrex+VGvXj0IguDyIuX5CUNykjk4cubdd9/F8uXL8fLLL+P333/H8ePHERERUayL16vVamzbtg2//PILHnjgAaxcuRLh4eGIiorKc76yrPdeEARH1cg333yDF154AWPHjsVvv/2G48eP4+mnn872nrLeX2fhRea1hgCp7Vnfvn1x/PhxxZ+LFy+iU6dOTucaGBiIlJSUPO9pWFgYatSogYsXLwIAQkNDYTabce+e8v8Lbt265QhJQkNDcfPmzWznun37tmNMTjLfQ/l9O9uXuRrHmc2bN6NHjx6Or12LFi0QFRWFN954A6mpqRg6dCgGDx6sOCYuLg5BQUG5nrewGMQQERERUekniplae7k5iFGpAU36/5BZXayKscRL27IWxADp7ckAmO66dx5EREREVKT8/f0RERGBDz/8ULEwvSw+Pj5f59PpdLDZbLmOadKkCa5evYoLFy44fX3Pnj3o378/nnrqKTRt2hS1a9d2BAGuatiwIQ4cOKDYl/V5VoIgoEOHDli4cCH++usv6HQ6/PDDD/D29kbNmjWxY8eOfM0hsz179qB9+/aYNGkSmjdvjrp16+LSpUt5HtegQQOcPHkSJpPJsS/rYvUtWrTA6dOnUbNmTdStW1fxJ6fgTK7EOXPmTK7Xv3v3LmJiYhAWFgYAaNmyJbRaLbZt2+YYc+PGDfz9999o3749AKnyKCEhAYcOHXKMOXjwIBISEhxjittPP/2Efv36Kfb5+PjgiSeewCeffIKvv/4a33//vWMNHwD4+++/0bx582KdF4MYIiIiIir9bGmAaAMEFaD2yHt8cZOrYlwNYuRqEl2l4plPcdIHSFuuE0NERERU7nz00Uew2Wxo06YNvv/+e1y8eBFnz57F+++/j3bt2uXrXDVr1kRSUhJ27NiBO3fuOG311LlzZ3Tq1AmPP/44tm3bhqioKPzyyy+IjIwEANStWxfbtm3Dvn37cPbsWUycODHPtUWymjZtGtauXYu1a9fiwoULmD9/Pk6fPp3j+IMHD2Lx4sU4cuQIrly5gk2bNuH27dto2LAhAGDBggV499138f777+PixYs4duwYVq5c6fJ86tatiyNHjuDXX3/FhQsXMHfuXBw+fDjP44YPHw673Y4JEybg7Nmz+PXXXx3rnsjVIZMnT0ZcXByGDRuGQ4cO4d9//8Vvv/2GsWPH5hiKBQUFoUWLFvjzzz8d+5KSkjBz5kzs378f0dHR2LVrF/r27YvAwEAMHDgQAODr64tx48ZhxowZ2LFjB06ePIlRo0ahcePGjjZgDRs2RK9evTB+/HgcOHAABw4cwPjx49GnTx+Eh4e7fM8K6tatWzh8+DD69Onj2Ld8+XJ89dVXOHfuHC5cuIBvv/0WoaGh8PPzc4zZs2dPtnZlRY1BDBERERGVfo71YTwBF3tYFyuNt7SV26XlxpoK2EzSvDU+xTuv4iBXxJjvAWLubQCIiIiIqGypVasWjh07hq5du2LGjBlo1KgRevTogR07dmDVqlX5Olf79u3x7LPP4oknnkBQUBCWLl3qdNz333+P1q1bY9iwYXjggQfw8ssvO0KDuXPnokWLFoiIiECXLl0QGhqKAQMG5GseTzzxBObNm4dZs2ahZcuWuHz5Mp577rkcx/v4+OCPP/5A7969Ub9+fcyZMwfvvvsuHn30UQDA6NGjsWLFCnz00Ud48MEH0adPn3xV6Tz77LMYNGgQnnjiCbRt2xZ3797FpEmT8jzOx8cHP//8M44fP45mzZrhtddew7x58wDA0aqucuXK2Lt3L2w2GyIiItCoUSNMmzYNvr6+irZ1WU2YMAEbNmxwPFer1Th16hT69++P+vXrY/To0ahfvz72798Pb29vx7jly5djwIABePLJJ9GrVy8YjUb8/PPPijWMNmzYgMaNG6Nnz57o2bMnmjRpgv/+978u36/C+Pnnn9G2bVsEBwc79nl5eeHtt99Gq1at0Lp1a0RHR2Pr1q2O+7N//34kJCRka1dW1AQxa2M5cioxMRG+vr5ISEiAj08Z/B/oYmKxWLB161b07t07330oiah48fNJVDbws+qipH+B+NOAMQwIKPwioYWWfBm4dxIwBAOBbXMfm3oDuHsE0PkCwc77NJd613+V1sQJ7lg2q3qKCD+vRGUTP7tEZUdZ/rympaUhKioKtWrVyraeC1FR2bBhA55++mkkJCS4vH6NM2lpaQgPD8dXX32V78onQFqnJTExET4+PrkGPiWtX79+6NixI15++WWXjxkyZAiaN2+OV199NccxuX2+Xc0NNC7PiIiIiIjIXSxyRYyb14eRyRUxVhcqYszx0lbrV1yzKX46PyDtFmBOqNBBDBERERFRSfr8889Ru3ZtVKlSBSdOnMCsWbMwdOjQQoUwgFRR8/nnn+POnTtFNNPSoWPHjhg2bJjL400mE5o2bYoXXnihGGclYRBDRERERKWf3JpMW1qCGHmNmFTAbgNU6pzHluX1YWRaXymIsSS4eyZERERERBVGbGws5s2bh9jYWISFhWHIkCF48803i+TcnTt3LpLzlCb5qYQBAL1ejzlz5hTTbJQYxBARERFR6WctZRUxah2g0kntuqxJUtsxZ0QxI7zQ+ZXY9Iqc/P4YxBARERERlZiXX3453+EClU6lp4EbEREREZEzdou02D1QeoIYIKM6Rw6JnLEmAXYroNKUrrnnlza917HlPiDa3TsXIiIiIiKiMoZBDBERERGVbnLQoTZIgUZpIQcrllzWiXGsD+MLCEKxT6nYqD2key/acw+eiIiIiCo4URTdPQUiKmJF8blmEENEREREpZs1RdpqPN07j6y03tI2t2CiPKwPA0ghkja9PZmZ7cmIiIiIslKrpTUDzWazm2dCREUtJUX6f1KtVlvgc5SiXykkIiIiInLCnt6WTK137zyy0rjQmswSL23L8vowMq0vYLoLWBLdPRMiIiKiUkej0cDDwwO3b9+GVquFSsXff6fyy263w2w2Iy0trVx/r4uiiJSUFNy6dQt+fn6OwLUgGMQQERERUelmS/+tQlVpC2LkiphkQBSztx6z2zJCC61fiU6tWDjWiWFFDBEREVFWgiAgLCwMUVFRuHz5srunQ1SsRFFEamoqjEYjhLLcgtlFfn5+CA0NLdQ5GMQQERERUekmV8SodO6dR1ZqAyCoAdEmhTFaL+XrlgQpoFEbAI3RPXMsSrr01mTy+6oA/8NFRERElB86nQ716tVjezIq9ywWC/744w906tSpUO26ygKtVluoShgZgxgiIiIiKt3s6f8jW9pakwmCFL6YE6T2ZFmDGHOctC3r68PINF6AoALsVsCWUvrW7CEiIiIqBVQqFQwGg7unQVSs1Go1rFYrDAZDuQ9iikr5beBGREREROWDrZRWxAAZ68RY7md/zXxP2paXIEZQAdr0dmxcJ4aIiIiIiMhlDGKIiIiIqHSzl9I1YoBM68QkZX+tvAUxAKBNb09m5joxRERERERErmIQQ0RERESlmyOIKYUVMXI7sqxBjDVFquQRhIzwojzQZlonhoiIiIiIiFzCIIaIiIiISi/RDtgt0uPStkYMkNGaLGsQI1fDaH0BVeEXdiw1dAxiiIiIiIiI8otBDBERERGVXnI1jCAAgsa9c3FG4ynNzW4FbGkZ+8tjWzIA0PhIW5spY+0eIiIiIiIiyhWDGCIiIiIqveQf9qt0UuBR2ggqKYwBAMv9jP3lNYhRqTPasbEqhoiIiIiIyCUMYoiIiIio9HKsD1MK25LJsrYns9syQoryFsQAGevEmBnEEBERERERuYJBDBERERGVXvZMFTGllcZb2soVMZYEQBSlNW00Hu6bV3HRcp0YIiIiIiKi/GAQQ0RERESll1wRoy7FFTHaLBUx5bUtmUybvk6MJdG98yAiIiIiIiojGMQQERERUellKwsVMVmDmDhpq/N3z3yKm1wRY00G7Fb3zoWIiIiIiKgMYBBDRERERKVXWVojxmYC7JbyXxGj1gFqg/SYVTFERERERER5cmsQs2TJErRu3Rre3t4IDg7GgAEDcP78ecUYURSxYMECVK5cGUajEV26dMHp06cVY0wmE55//nkEBgbC09MT/fr1w9WrVxVj7t27h5EjR8LX1xe+vr4YOXIk4uPji/stEhEREVFhyBUx6lJcEaPSZAQTqbekOQtCRuVIeeRYJ4ZBDBERERERUV7cGsTs3r0bkydPxoEDB7Bt2zZYrVb07NkTycnJjjFLly7Ff/7zH3zwwQc4fPgwQkND0aNHD9y/f98xZvr06fjhhx/w1Vdf4c8//0RSUhL69OkDm83mGDN8+HAcP34ckZGRiIyMxPHjxzFy5MgSfb9ERERElE9loSIGALTe0jb1WvpzX0Cldt98iptjnZgE986DiIiIiIioDNC48+KRkZGK5+vWrUNwcDCOHj2KTp06QRRFrFixAq+99hoGDRoEAPjss88QEhKCjRs3YuLEiUhISMCaNWvw3//+F927dwcAfPHFF6hWrRq2b9+OiIgInD17FpGRkThw4ADatm0LAPjkk0/Qrl07nD9/HuHh4SX7xomIiIjINfYysEYMkN6e7DaQegMQVOW3LZnMEcSwIoaIiIiIiCgvbg1iskpIkH6jzt9fWtg0KioKsbGx6Nmzp2OMXq9H586dsW/fPkycOBFHjx6FxWJRjKlcuTIaNWqEffv2ISIiAvv374evr68jhAGAhx56CL6+vti3b5/TIMZkMsFkMjmeJyZK/5NpsVhgsViK9o2XYfK94D0hKn34+SQqG/hZzZ1gTgFEK0S7CijV98gAwWaVghhjGESVVymfbyEJRun9pt2DaDZLrdgqAH5eicomfnaJyg5+XonKBn5WM7h6D0pNECOKIl588UV07NgRjRo1AgDExsYCAEJCQhRjQ0JCcPnyZccYnU6HSpUqZRsjHx8bG4vg4OBs1wwODnaMyWrJkiVYuHBhtv2//fYbPDw88vnuyr9t27a5ewpElAN+PonKBn5WnRDtCLEdAQDcUtshCqXmn67ZaMVEBFjPwFu8gkRVTdxWW2AXSnk7tcIQRQTbjkGAHXfUKbAJRnfPqETx80pUNvGzS1R28PNKVDbwswqkpKS4NK7U/N/slClTcPLkSfz555/ZXhOy/IadKIrZ9mWVdYyz8bmdZ/bs2XjxxRcdzxMTE1GtWjX07NkTPj4+uV67IrFYLNi2bRt69OgBrVbr7ukQUSb8fBKVDfys5sKWCuEmAEEFMay3u2eTO5sJQowNQpIAMbADxNAe7p5RsRNu+wKWeIiVWgDGyu6eTong55WobOJnl6js4OeVqGzgZzWD3EkrL6UiiHn++eexefNm/PHHH6hatapjf2hoKACpoiUsLMyx/9atW44qmdDQUJjNZty7d09RFXPr1i20b9/eMebmzZvZrnv79u1s1TYyvV4PvT77bzFqtdoK/83lDO8LUenFzydR2cDPqhNiCqDWAGoDUNrvjVYLwASo1IDet/TPtygY/QF7EiCmVoz3mwk/r0RlEz+7RGUHP69EZQM/q3D5/auKeR65EkURU6ZMwaZNm/D777+jVq1aitdr1aqF0NBQRYmT2WzG7t27HSFLy5YtodVqFWNu3LiBv//+2zGmXbt2SEhIwKFDhxxjDh48iISEBMcYIiIiIipl7Onr9al07p2Hq0SrtFWX45ZkmWl9pa3Ftd8AIyIiIiIiqqjcWhEzefJkbNy4ET/99BO8vb0d67X4+vrCaDRCEARMnz4dixcvRr169VCvXj0sXrwYHh4eGD58uGPsuHHjMGPGDAQEBMDf3x8zZ85E48aN0b17dwBAw4YN0atXL4wfPx4ff/wxAGDChAno06cPwsPD3fPmiYiIiCh3drO0LQvBht0C2G3S47ISHBWWNr1dryXBvfMgIiIiIiIq5dwaxKxatQoA0KVLF8X+devWYcyYMQCAl19+GampqZg0aRLu3buHtm3b4rfffoO3t7dj/PLly6HRaDB06FCkpqaiW7duWL9+PdRqtWPMhg0bMHXqVPTs2RMA0K9fP3zwwQfF+waJiIiIqOBsJVQRYzMBgkZqK1ZQprtSCzW1ARAtRTe30kwOYmxpUhClqtgtCYiIiIiIiHLi1iBGFMU8xwiCgAULFmDBggU5jjEYDFi5ciVWrlyZ4xh/f3988cUXBZkmEREREbmDXBGjKsaKGEsScHsPABXg3wIwBBXsPKY7gNoohROW+0U6xVJLpQE0HoA1BTAnAIZAd8+IiIiIiIioVHLrGjFERERERDkqiTVi7l8A7FYp9LlzAEi8CLjwy0LZZA5irMkFO0dZJFfFWLlODBERERERUU4YxBARERFR6WQr5jVirMlA6nXpsTFU2iaeA+4eyri2K2wmqQpGpQO0foBoB2wpRT7dUsmxTgyDGCIiIiIiopwwiCEiIiKi0qm4K2ISL0iVK4YQIKA1UKkpIKiAtFvAvb9cP4/pjrTV+QL6StLjitKeTOsrbRnEEBERERER5YhBDBERERGVTo41YoohiLEmA6nXpMc+9aWtZ3UgqIP0OO0WYE117VxyEKMPBDTe0uOKEkw4KmLuS5VARERERERElA2DGCIiIiIqnWzpFTHF0ZrsfvpaMIZgQOeXsV/nB+gDpMcpV107l+mutNUHZlozpYJUxKiNgEojhTDWZHfPhoiIiIiIqFRiEENEREREpY/dBog26XFRV8RYkzNCFp/w7K97VJO2KTEunCtVOp8gSAFORVszRRAq3nsmIiIiIiLKJwYxRERERFQ8CtOqSm5LJqgAlbZo5iPLqRpGZgwDBLUUsJjicj+X3JZM6ydVhmjTW5NZk6UwqSJwBDEJ7p0HERERERFRKcUghoiIiIiK3v1LwLX/AXFHXV9rJTN7eluyoq6GsVsyVcPUdz5GpZHCGCDv9mSZ14cBALVBCo5EEbAmFX6+ZYHWV9qyIoaIiIiIiMgpBjFEREREVPSSo6RtynXg5u9A4vn8VYjIFTFFHcSY4qSQROMJ6CrlPE5uT5Z6Pfd5O4KYgIx9Fa1VV0V7v0RERERERPnEIIaIiIiIipYlUaqCEdRSQCHagcQLwK1dgM3k2jnkcWp90c7NWXDijD4A0BilCpq0m87HWJMBW5rUPk3nn7FfDias9ws/37JA4y2tFWMzSfeDiIiIiIiIFBjEEBEREVHRSr0hbQ1BQFB7IKCV1LLLmgKkxLh2jmKriMnSSiwnggAYq0qPc5qzfC5dJUClzthf0SpEVGopjAEAc7xbp0JERERERFQaMYghIiIioqKVGitt5XVWjGGAdz3la3lxrBFThBUxdktGOJJXRQwAeKa3JzPddl7pkVOoo00PJSwVpCIGAHR+0pZBDBERERERUTYMYoiIiIio6FhTpLBDEAB9cMZ+Y6i0Nd9zrT1ZcVTEmO5KW62XVKGTF3kdGVEEUq7lfL6sQYxcHWJLA2zmgs+3LJGDGEu8O2dBRERERERUKjGIISIiIqKik5Ze8aILANSZQhS1IeOH9TmtuZJZcawR42pbssw80tuTpWWp5LHcl+YoqDPel0ylATQe6eMqSHsyrZ+0ZUUMERERERFRNgxiiIiIiKjoONqShWZ/zRCqHJObYqmIKUAQY0iv6jHfk1qbZTuXPyA4+Se1vE6MtYK0J9N6S/fBbpGqooiIiIiIiMiBQQwRERERFQ2bGTDHSY8NToIYOZwx3Qbs1tzPZS/iihibOWPNFp0L68PINB5SizJRzAhfgLxDHbk9WUWpiBFUGeETq2KIiIiIiIgUGMQQERERUdFIuykFFjpfQGPM/rrWWwo2RLsUxuTGVsQVMXJwovVRtkxzhVwVk5Y+Z1HMeX0YmRxKWCpIRQzAdWKIiIiIiIhywCCGiIiIiIqGvI6Ks2oYmSvtyew2QLRJj1VFVBFjloOTfFTDyOQgxnRL2loSpRZcKg2g9XV+jCOISZSCm4qA68QQERERERE5xSCGiIiIiArPbgPS0oMKZ+vDyOTX5OoZp+dKb0smqKSwoygUZH0YmS5Amos1FbAkZZxLFwAIgvNjNJ7SMaINsKUWbM5ljS49lLIkVJzwiYiIiIiIyAUMYoiIiIio8Ey3pZZjGo+MahBndP5SuzG7JWM9mazsRdyWzJYmBShAwSpiVGpp3oBUFSMHMYZcQh1BADRe0uOKsk6MxhsQ1NL6P9Zkd8+GiIiIiIio1GAQQ0RERESFJ6+ZIrfxyokgAMYQ6XFO7cnsFmlbZOvDpM9N5wuotAU7h/y+Um/mvT6MLHN7sopAEDJVxcS7dSpERERERESlCYMYIiIiIio8uQIit2oYmbxOTFpOQUwRV8RkbiVWUIYgaZsSk74+jE6qAMmNfC+s9wt+3bKG68QQERERERFlwyCGiIiIiArPmt76S+2Z91h9UPqaKymAxUlI4QhiCli9kpWrFSy50foAagNgvifNWZ/L+jCOY9KDmopSEQMAOj9pyyCGiIiIiIjIgUEMERERERWOaAdsKdJjrVfe4zOvueJsnZiibE1mS5OqdQQB0PsX7lyGIGmtGUuCa2vNOCpikgG7rXDXLivkIMaSIH1fEBEREREREYMYIiIiIiokawogioBKI1WNuEIORUzOgpgirIiR25JpC7E+jEwfBNiSpZBB65v3eLVBCpNEEbBWkKoYtYd0n0V7RpUUERERERFRBccghoiIiIgKR/6Bu8aFtmSykqqIkYOYwrQlk2m8pbnZ0gCV3rVjKlqrLkHICKkqynsmIiIiIiLKA4MYIiIiIioca7K01bjQlkymqyT90N6aIgUbmRVpRYy8PowLrcTyYkuVwia1wXmA5ExFC2KAivmeiYiIiIiIcsEghoiIiIgKpyAVMSpNxhoqWduTFVVFjDVF+iMIGRU4hWGJl6o9NJ6A+a5rx2j9Mo6tKBzrxMS7cxZERERERESlBoMYIiIiIiocRxCTj4oYIOf2ZEVVESNXw2j9pOCnsMwJ0nvUeDpf28YZRyiRBNithZ9DWaCrJG0tiRmhGhERERERUQXGIIaIiIiICqcgrcmAXIKYIqqIKcr1YQCpwkPjJS1Ib03O3lLNGbUe0BilxxWlVZfaIIVVogiY77l7NkRERERERG7HIIaIiIiICs5uAWwm6XF+WpMBgD49iLEkZlSLiCIgykFMYSti5CCmKNaHSZPep1oLGEPTz+9iVUxFbE8mf21NLrZwIyIiIiIiKscYxBARERFRwcnVMGpD/tt/qQ2AxkNZOSFapedA4Spi5IoVQVU068PI1SwaL8AQlL4vn+3JKkpFDADo0sMvBjFEREREREQMYoiIiIioEBzrw+SzGkaWtT2ZvD6MoJZClIKSAwCdH6BSF/w8MktCxvnkkMHVIKZCVsSk3yNLPGC3uXUqRERERERE7sYghoiIiIgKziIHMflcH0bmaGElBzHpbcnUblofxpIKXPgVuH1eud+cHsRofZ23VMuNXBFjTQVs5vzNp6zSeEhr44ii64EVERERERFROcUghoiIiIgKzpbemkxbwCDGURFzDxDtmSpiimp9mHwEMbGngA/aABuHAh+2AXa8Adjt0mtyNYvW13lLtdyoNBn3pyJVxeS3coiIiIiIiKicYhBDRERERAUnV8SoC9iaTOMFqLSAaEuvMEmviCnM+jCWJMBmSl8fppJrx5zbCqyJABKuZOzbswz4djSQejf9fIIUxADZW6rlRW5P5kpwU17ouU4MERERERERwCCGiIiIiApKFAFrIStiBEEZasgVMapCVMTI1TA6/7zXmRFF4M8VwFfDAUty9tfPbgbW9wWS49JDo/T1ZrK2VMuL3J7MHO/a+PJADmLkaiciIiIiIqIKikEMERERERWMLU2qZBFUgNqj4OdxhBp3i6YixtGWLCDvsdsXANvnAxBzHnPzNPDTfCA1NWNf1pZqeamIQYzGE1DrpftTkSqBiIiIiIiIsmAQQ0REREQFY01vS6bxkCpbCkqXqbqksBUxoh0w3ZYeG4JyH3v7PLB3Rfb94b0Bg69yX8o9YNfKjOdZW6rlResr3SO7GbCm5j2+vGB7MiIiIiIiIgYxRERERFRAclsyTQHbksl0flJVjd0MmNNDjYJWxJjuAnarVIkhr8uSkzObs+wQgO4LgCc3As/sAPzrKF+O3gv8uyt9qJCp9ZYL7ckEFaD1kR5b4vMeX17oGMQQERERERExiCEiIiKignFUxHgW7jyCKqN1l1zNUtCKmLRYaWsIzbtK5/z/lM9bjQU6viAdF1gPeGY74BWiHLNtHmBPb0Wmy9RSzRVyMFSR2pNxnRgiIiIiIiIGMURERERUQI4gppAVMUBG5YRcXVKQihhRBFLTgxhjaO5jE68D1/9S7mvYV/ncwx/oMEW578YJ4O/vpcf6TC3VXFEh14nxkr6Wog2wJLh7NkRERERERG7BIIaIiIiICqaoWpMB2UONggQxlgTAlgaoNIA+MPex57dmub4vULNj9nENuwO+lZX7drwOWE3p676kt1SzJOU9PzmIscRLoVFFIAiZvrZsT0ZERERERBUTgxgiIiIiyj+7DbCmSI8L25oMAHSVpK01CbBbCtaaTK6GMQRLAUluzmUJYur3BNROrmk3AW2eUO5LuAIc+iS9pVr6vF1ZJ0bjLYVEditgvZ/3+PJCbk9muuPeeRAREREREbkJgxgiIiIiyj9begij0gJqfeHPp9JKlTWiDbDcL1gQk3l9mFzHJQJRfyj3hfd2PtaaBFRvAVRtpdz/xztA6r2MdWLM9/KenyBkWifGhfHlhT5I2pruSgEeERERERFRBcMghoiIiIjyz7E+TBFUw8h0PgBE6dz5bU1mTZYCHEGQKmJy8882qepGptICdbvnfF5BALrPU+5PiwcOfZq/ihgg0/gKFMRovQGNERDtrIohIiIiIqIKiUEMEREREeWfLVXaFmUQo/GRttbkvFuLZSW3JdMH5l1Nk7UtWa1OgMEn+zibKSOwqd4ReKC/8vVjn2da9yUJsJnznmfWtXAqCkOItDXdcu88iIiIiIiI3IBBDBERERHlnzU9iFEbi+6cWi9pK5rz38LK1bZkNgtwcZtyX4PHnI+1JktbjRFQqYH205SvJ1wBovZkzNuVKhfHWjjJrgU35YU+vUop7aZ750FEREREROQGDGKIiIiIKP/kNWKKMogR1OnVLOr8te6ymTIqTIx5BDHRfwKmBOW+3NaHAaS1awCgSgsgpLFyzNHPMq0T40KVi0qbv+CmvNAHSlVO1lSphRwREREREVEFwiCGiIiIiPLPVgwVMXaL1J5MpXF9zRUgo8pC5weoDbmPPZ+lLVnlFoBPmPOxjoqY9PZrggC0HJ39fJb06h1Xg5WKuE6MSg3oA6THaWxPRkREREREFQuDGCIiIiLKP7k1maYogxizVC0iqPMXxJhuS1t5HZKciCJw/hflvgY5VMMA2StiAKDxEOV7tluBs+mtzsz3pAXp81IRgxgg4+vDIIaIiIiIiCoYBjFERERElD92mxSaAMVQEeMNCJr0UEN07Tg50JBbhOXkXjSQEKPcF57D+jBApoqYTEGM0Q94cKBy3ImvAEErhTCWxLznK8/TEu/6eywPDOnrxJjvSgEWERERERFRBcEghoiIiIjyx54mbR1ruhTVec1SsKM2SD+odyXUsJkyqnN0frmPvXFc+dzoDwQ3dD5WFLO3JpNlbU8W9y9w+4r02JVKHo2X1H7NbgWsFWi9FI2n9EcUM6qYiIiIiIiIKgAGMURERESUP9YUaVuUbckAqSJGEDLWEnEl1DDHS1uttxRu5Ob6ceXzys2k6zljS5UqXARV9qqfam2BoAbKfWe3S1uTC3MWhIz2ZK6ML0/YnoyIiIiIiCogBjFERERElD+29AqUomxLBmS0O9MHSltXghhLvLTNqxoGyF4RE9Ys57GZq2GyhjWCALTIUhXzz04g7b7r675U2HVi0tuTpd107zyIiIiIiIhKEIMYIiIiIsofW3prsiIPYizSVh8kbV2pFpGDDK1f7uNE0XlFTE6sSdI2a1syWdMnAbU+47nNDFz8U7o3csVQbipqEKMPkFra2UyAOcHdsyEiIiIiIioRDGKIiIiIKH8cFTEeRXteuSLGECS1BLOlZVSm5ERuTSYHGzmJvwykxSv3uVQR4+X8dQ9/4IF+yn3nd0uBjyvhijxfa7IU4lQUgkr6+gKsiiEiIiIiogqDQQwRERER5Y8cxBTHGjEAoDZktBoz3c15vDU5fV0ZlbRGTG6yVsMYKwF+1XM5dx4VMUD29mTxV4GbF1xrqabSAtr0kKeiVcXI68Sk3nDvPIiIiIiIiEoIgxgiIiIiyh+59VZRtiYTRUBMD2JUOkAXID3OLYiRq2G0vlIYkxtn68NkXfsls7wqYgCgZkfAv45y37mdrrVUAwCdv7QtBUFMmsWG6DvJMFltxX8xY5j09bIkApb7xX89IiIiIiIiN2MQQ0RERET542hNVpRBjFUKYwCpWkSfHsSYXQhi5OqZ3ORnfRi7LSNsyq0iRhCAllmqYqIOAsmxgN2a95wc68S4GNwUkxsJqej93h50WbYLj763BzcT04r3giptxjpAqdeL91pERERERESlAIMYIiIiInKdzQyIdumx2lB055XXhxHUUrWEzl8KOqypGaFIVnIlSV7rw4ii84qYnNjSr6fSAmp97uduOlwa5zjWAlz8M3/rxJjjM0IoN/juyFX8e0eqAPr3djK+OhRT/Bf1qCJtU64V/7WIiIiIiIjcjEEMEREREbnOUQ1jyLsdWH441ofRSVuVGtD6SY+dtScT7YAlQXqcV0VM/BUgNUswkltFjCvrw8i8goAGjyn3ndsJpN3O+1iNlxTiiDapTZebRN9VBl0Xb5VAuzBDiPT9Y00GzAnFfz0iIiIiIiI3YhBDRERERK7LHMQUJUdFTKbqktzak1nuS2GMSpt3YJK1GsbgB/jVyHm8Y30YF4IYIHt7snsxQMy+vI8ThIwQyY3rxCSblG3Uir01GQCoNFIYA7A9GRERERERlXsMYoiIiIjIdcWxPgyQURGj0mXsk4MYZxUxlnhpW9D1YQQh5/GOihivvM8NALW6ZA92Tm12cZ0Yf2nrxnViks1ZgxhTyVxYbk+WyvZkRERERERUvjGIISIiIiLXFVsQk14Rk3m9Fcc6MSnSWjGZubo+DJC/9WGATBUxLgYxKhXQYpRy378HgMTovI91rBPjvoqYJCcVMWJJrFmjD5YqY6ypbn3/RERERERExY1BDBERERG5Tg5iNCVQEaPSAFpf6XHW9mTmeGkrryOTE1F0XhGTG0s+1oiRNX8KENQZz60m4ND/5X2cXNFjTQFsJVSJkkVSmjKIMVntSEi1FP+FVWrAECo9TmFVDBERERERlV8MYoiIiIjIdXJlitqjaM/rqIjRKfc7a09mt0prxAB5tyZLiAFSs7T9yq0ixm7JmEt+ghjvUKBhX+W+oxsBUx4L36u0gNZbeuymqpCsa8QAJdiezFhZ2qZel0IzIiIiIiKicohBDBERERG5rtjXiNEq9+ucBDGWBGmrMQJqfe7nzVoNY/ADKtXMeby8PozaIFXk5MfDM5TPTfddrIpxb3uyrK3JACA2Ma1kLm4Ikr7mNpPztYCIiIiIiIjKAQYxREREROQa0Q7Y0n9AX2xrxGStiJHXiUnOuLarbckAJ+vDNJXOlxNrirTNTzWM49xNgPDeyn37PwTMKbkfp/OXtua43McVA1EUkWy2Zdt/s6SCGEEFGMOkx6lXS+aaREREREREJYxBDBERERG5Rg5CBBWg1uU+Nr9yqohRaQGtj/RYrpiwJktbuaVXbrKtD9M89/GFrfjp9JLyecpd4Oj63I9xVMQkSGFXCTJZ7bDZs7cEu1VSQQwAeFSTtinXpbZzRERERERE5QyDGCIiIiJyTXG1JQNyrogBsrcnc3Ueoghc/0u5r3Kz3I9xVPwYch+XkyotgLrdlfv2vgdYcgk2NJ5S4CTaAEtiwa5bQM7akgEl2JoMkKqeNJ7S+0+LLbnrEhERERERlRAGMURERETkGjkA0XgU/bkdQYw2+2t6OYi5kz6P9FZf6jzmEfcvkJql3VeWipjzsffxyvcn8c6v5xCfYi6asKnTy8rnSbHAX//NebwguG2dmKQ050HMzURTic7DURWTHFOy1yUiIiIiIioBDGKIiIiIyDVWOaQoYLVITkQxU2syJxUx+sCMdWKsKZnWcckjiLl6RPncMxjwq+F4mmaxYez6w/jqcAw+3HkJszedKnxFDABUbwvU6qzct+c/gCkp52Mc68SUcBCTQ0VMibYmAwCPqtLWdCfj60tERERERFROMIghIiIiItcUplokNRaIO+b8h+xipjDAWUWMSpMRVKTESOuoCELeYcnVQ8rnVVtLx6U7HB2Ha/Gpjue//B2LmwlytU0h2691zlIVc/868PuinMc7KmLich5TDJJLQ2syANAYpcANAFKuluy1iYiIiIiIihmDGCIiIiJyTUGDGFEE4k8BKdeAW39IoUxmjrZkGkDI4Z+n+iBpK/+QXm3Ieazs6mHl86qtFE/Px97Pdsj2S+aM8xdGzY5AjfbKfQdXZ6/Sken80qt+UjOqckpAstl5EHP7vgk2u1hi8wAAeKa3J0uJkb5niIiIiIiIygkGMURERETkmoIGMZb4jHDBbgHuHgYSzmb8sN2Wvh6Js7ZkMkN6EJN6Q6qIyWsO5hQg9m/lvmptFE8v3MwexGyLEqSAR63P/fyu6LsCUGeu8BGBzVMBmyX7WJUG0HhLj0uwPVmSyeZ0v10E7iaV8DoxhjDpPlhTSrwyiIiIiIiIqDgxiCEiIiIi18hBTF5rs2SVekPaGsMAr9rS4/v/AHcOSKGKoyImlyBG6yu9bk2W/qjzmMP1vwAxU8ggqIHKzRVDzt/MvmbLvhggyVYEIQwABIYDrYcr9906Dex9z/l4R3uyEgxi0pxXxABuaE+mUgPGytLjlJiSvTYREREREVExYhBDRERERHmzWwB7+g/tVfls2yUHMR5VAL8HgYBWUuWD6Q6Qdsu1IEYQpKoYmwmwJOQdBmVtSxbyIKDzzHg7dhEXnVTEmO0C/ojRuPKuXNP2OcC/unLf7qXAnX+yj3VDEJPTGjEAcDOxhCtiAMAjvT1Z6g3A7rxah4iIiIiIqKxhEENEREREeZOrYVQ6qXLBVeYEqdWUoAb0wdI+YxjgkR5OpF53LYgBpHVi7GYpiMmrNVm29WFaK55ei09Fitn5D/q3XbLnfu788KoKPPyMFCTJbCbg52mAPct19P7S1hwvVQqVgKRcg5gSrogBpHug8ZRCv7SbJX99IiIiIiKiYsAghoiIiIjyJq/xkt9F7OVqGEOwMsDxqJL+eqy0QD2Q97oshiDAbpJakwm5VK2IYp5BzPnY7NUwst//NcFiK6IgROsNhDUCHoxQ7r/8J/DXf5X7NJ5SGCXaAUti0Vw/D7lXxLghiAEAY6i0ZRBDRERERETlBIMYIiIiIsqbI4jJoxIlq7RM68NkpvOT2ouJtoywJq+KGLUBENL/+SpX6DiTEAMkZfkhfrU2iqfnnbQlcxyeZsfh6CJcLN4QArQcDPiEKvf/Nhe4H6vc52hPVjKL1SebS2EQYwiRtmm3pFCNiIiIiIiojGMQQ0RERER5K0hFjCVJ+iOopIqYrIxyVcx1aZtXEGMzARofAILUniwnMYeyXKcS4F9bsetCTO6Lwf926kruc8kPQyigNQAdxyn3mxKAX15W7ivhdWKSTDmvw+KWNWIAQOcPqLRSG7oSXC+HiIiIiIiouDCIISIiIqK8yRUo+Qli5EoXfaD0g/WsPCpLW9MtQLS6EMSkAFpfQK0FTHdzHnf1iPJ51dbKNVri/8b5m8mKIZV9le9r2+kbEItqsXi9P6DSAJUbAo0GKl878xNw7n8Zz0s6iEmz5Pia2ypiBCEjuEu75Z45EBERERERFSEGMURERESUN1t6dUS+gpj0SpesbclkWh9A6wXYzNIC9XkFMdZUabzKIFXoWHJoL5ZtfZhMbcnM8bAkROHfLDnHxE7Kiplr94GzUf/kPh9XZa4I6jARMPorX//fTCAtfU0YnZ8URFhTM6qQilFyrhUxbgpigEztybhODBERERERlX0MYoiIiIgob/Z8tiazpkgLzguC1JorJ8YqUjWM6a5rFTGCOiPUMN3OPsaSBtw4odxXtVXG4/v/4HICYLYLiiH9GgegqrdyPZJtp6IB0Z77nFwl3wOVCei1RPna/evA74vSX9cAGm/pcQlUxSSZcl4j5l6KBWmWIqoKyi99kPS9Y0mUQikiIiIiIqIyjEEMEREREeUtv2vEyG3JdAGAOpeAxRAKiDbpB+55rctuTZG2HlWlbcq17GNiTwL2zO22BKBKS+mhJQlIvYHzccpDgr31qKS3ooeyKAZ/RFucX6MgDMHpwcJ94IG+QJ1HlK8fWQPcvSQ91qdXzJiyTLQYJJtzDmIA4PZ9N60To9ZltGljVQwREREREZVxDGKIiIiIKHeiPaM1mcrFIMacHiIYQ3Ifp9YBao/0Y3JZ9wXIWKfGs4bU7sscD5gTlGNiDimfBzcEDD7S4yQp6Dif4KUYEh7qDdjS0LGqMgmKTgBw/yIg5pUQuUCllRahB6Q1cfosB9T6jNftVmDH69LjElwnJjmXihigtLQn4zoxRERERERUtjGIISIiIqLcySGMoJICBVdYk6St3GYrJ3azVAEiqDPWlMlxHukVMVo/wJje6ivlinJMzEHlc7ktmS0NSLkKALiYoAyT6od4A7ZU1PBVHno3VUBySrLjuELLvO5JpZrAQ88qXz/zI3D1SEYQY0koutZoObiflnsQE1saghjTbcDuphZpRERERERERYBBDBERERHlzrE+jF5qr5UXUcxoI6bxyn2szQzoA6S1Ucx3pec5cZzTA/CoIT1OuZrxQ/rUe8DF35THVG0jbe9fkkINfQDO31a22woPkSpiqvpkv+TV+yi6qhg5PDLdkdqndXwBMPgpx2ybJ1UIqXTSfC0J2U5TVKw2O0xWZdAT4KlsI3cz0U2tyQBA6w1ojNJ9MN1x3zyIiIiIiIgKiUEMEREREeVOXh/G1bZkthTph+eCKu81ZexmQKWXqlxEUWrb5fScpvRzCtI59QGAxlNq6ZWavo7Lia8Ba6YKDpUGqB8hhR7JlwEAaYbaiL6TrDh1/VCpIsagAQI91YrXYu5rAGsRVcVoPKVwQRSB1FjAWAnoNFM55vJe4MKvGevEFGN7smRT9iqTOkHK4OyWOytiAGUVERERERERURnFIIaIiIiIcicHMXmFKjJretCh8cy7gsaeXgGT1w/c5bZkaoMU8AgC4Fld2pd8RQo3jqxVHtOgD+AVDCRFAaIN0Prg0n0j7FmKW+oFezneY7VKyvcYYw5Mv0Z07u/DVcYwaZt6Q9q2Hg/4VleO2b4A0KSX55jiiua6TiSZs7clqxPsqXju1tZkAIMYIiIiIiIqFxjEEBEREVHu8h3EyOvD5NGWDMgIYuS2XWm3na+LYk1Nn4MxY59HNSmQMd8D/t0O3DmvPKbVWOm4pEvSc++6uHDzvmJINX8jPPUawCadv1olo+L1mCRD+jXiAYvy2AIxVpa2pttSNY/WADwyRznm9lng/O/S42KtiMkexNQKVAYxN90dxOgDpfWDbGlFc/+JiIiIiIjcgEEMEREREeWuMBUxeZGDGH2AtC6K3eI8fHBUxHhk7FPrAUN6gHPoY+V4/zpArU5A/Akp8NBVAoyVcT42STEsPMRbCn7kihh/ZXgUE2/KqMpIicn7/eRF6y3dF9GeUeXReAgQ2lg5bu8H0rxtaRkhVBFLyhLEGLVqhPkqg6hb7lwjBpCqn3SVpMfm4qsOIiIiIiIiKk4MYoiIiIgodwUOYvJREaPWA4Zg6bGzNlTW9CBG46Hc71kDSLsPXNyp3N/qaSDlilRhI6iASs0AQchWEVM/xFtafwYABAHVArwVr1+9lypV3gDSOjHOqnXyS66KkduTqVRA94XKMQlXgYv7pcfFVBWTlKYMYrwMGoT4KL/GsYlpEMUsvdxKmj5A2pruunceREREREREBcQghoiIiIhyZ08PYlT5bU2Wj4oYlS739UBsTlqTAVLrqn/2S9UjMrUOaNQfiD8tPfdtCGilUOh8rDKICQ/1znRuA6r5K4Oeq3EpEPVBUlBkM0nBTmHJ68Sk3QLsNulxnUeAGh2V445+B1hNxVYJkrU1mZdeg9AsQUyK2ZatcqbE6fylLStiiIiIiIiojGIQQ0RERES5y09FjN2W0UrLlYoYuRpFpQMMQdJ6LJakjKoaxzgnrckAQBSB87uV++p3B0wxgGiTqik8awEA7qdZcC1e2earXrB3pvdnRLVKyvPfN1mRkGYDjFWkHSlX8n5PedH5SpU9og0w3ZL2CQLwyGvKcSl3gTPbi60SJGvA4qlXI9hHn23cTXe3J9NVku6PNbXY2rQREREREREVJwYxRERERJQzuzWj2sSVIEYOTFRaqTIlz/NnqohRaQFdehuqrFUxObUmi/4DuHdZua9OC8AUB6g0jpZkAHDxlnJ9GLVKQO0gz4yKH7URYX4GqATl6WLiUgHPahnzspnzfl95kde2kduTAUCN9kCdbspxJ34Gkm9Ka+cUsawVMZ46DQxaNXyNWsX+m4lpRX7tfFGpAa2v9JhVMUREREREVAYxiCEiIiKinNnlihWN9Ccv+WlLBmQKYtIrMYxye7JbGWNsJmltFkFQhkF2O7DjDeX5AmoDYY2kx74PKoKbC1naktUM8IBBq86oslAboFWrsi1YH3MvBdD6SJUsooj/Z+++49yo7/yPv0Zltb03914wNuBCJ7SAwYQQ4BLS4JJcwqVcuLRLz6VcLr1xP3KX5EhyaaQnhCQQgqkGbDA2tnHBvazL9l5V5/fHSCvNSNqVtnrN+/l4+LE7o9HMV7sS7Oq9n8+H/hOZPbah5EfnxAw02ufOOKti/D2w++9WsDTGegNh23ahz/r+OtuTTXoQA/H2ZJoTIyIiIiIiU5CCGBERERFJL5u2ZBBvKZZJW7JIKB5CuKLVM7E5Mf7WeCXOYFuyXDASfnzd+mM4ucV+zgveA7WvhurLoWC27aZ9jSnmw0DS/JlZ5Y4gpi16/fzo+XqPD//YhuMttR5PJGSfOzNjNSx5jf3YnQ9B15HRX9PB2ZqsMNcKYmpK7N/rE+2nQTswX7RSShUxIiIiIiIyBSmIEREREZH0YkGMK9MgJouKmFg1jOGy2k/F7ucpsAIafzSgCNmDEgC6G+DRL9jPV74AVr3NaomWU5J0uf2OIGZxTSyIsYdNzjkxx9tjQcwMa63BLgh0Dv/4hmIYkDfN+nyg3n7bVZ+ybwf64Pkfje56KfQMOGfEWEHMvAr74z/cbG/pNilyyqyPwe5xadMmIiIiIiIynhTEiIiIiEh641oREw1i3I4B8bGqmNicmEiKNTz8SfB32e9343fAm36d+xvtgcKSmnQVMY4gpi16u8sLebHZLifTXidjsSCmv9FqeRZTuxzOvtV+7EsPQLcjsBkl54yYWGuy+VX2792h5t4xve6IuH3gja5rHNq0iYiIiIiIjCcFMSIiIiKSXrZBTHAEFTGxtmQxuQlzYkzTmhED8TkyB9bD7j/a73POm2D+FWkv1dYboLnbb9u3uLbIOn9sDk6sIsbZmixWEQOQF53t0j8GoUhOufXYI4HklltXfcrehi3khw1fH/01EzhbkxXkWEHMAkcQc7i5BzMxKJossTkxak8mIiIiIiJTjIIYEREREUkvVTVK2mOD8XBlNEGMr9yqPgn7rTfdIwlBTKAPHvyw/fi8MrjuS0NeytmWLMfjYk55vnVu07RahUWDnpmO1mQn2vuJRKJBhK8aDDeE+saoPVk0dOpvsN9WuQjOfbN934v3Qdep0V0zQW/A2ZrMag+3oLrAcVyYxi57iDUpFMSIiIiIiMgUpSBGRERERNLLpiIm1pbMnQsuz/DHpwtiDFdCC7D6eEWMOxe2/gQ66uzHX/tFKKgc8lLOIGZhVQGeSB/0HIX+UxAasIIRkmfEBEIRmntiYZAbcqviaxut3OjjHGhIvu2Kj9m/jmE/bPjm6K8Z1eMP27Zjrclqi3PJz3Hbbjt0OsyJ8cWCmA6IhIc8VERERERE5HSiIEZERERE0ssqiMmiLRlAOE0QA5Abm59SH5/h4sqBF39qP272JbDy9mEvta/BHsQsKe6Gxieg9QXoOwG9h6w3+IHqIh85HvuPycfbEtuTRdeWKjzJlq8qXmETdMy8KZsLq/7Rvu/Fn0H70dFfF+gZsA+9L8y1ghjDMJhfZf8eHj4dghhPgfU8NCMQ7Jjs1YiIiIiIiGRMQYyIiIiIpBcLYlxZVMR4Coc+Lmaw5ViqIKbKqgYJD4C/1drXsAea99qPu+pTg5UsQ3FWxCwuj1gBiCcP3PmAG9q2QCSIy2Uws3SIOTG5NVbVTrA7PhNnpGwVNimCnVf9mzWoPiYShKe+MbprRvU6KmIKfPHqm/mV9u/hoebeMbnmqMWqYvxqTyYiIiIiIlOHghgRERERSS0csKoPwB4GpJNtRUy61mRgBR25Ndb8llhAseN39mPK5sHcy4a9jGmayRUxM2pg+jooOw+Kl4K3CEL90LYNTJOZ5fb2ZMfb+uMbLi/4oq3QxrI9WapzlcyA899p37fjl9C8f9SX7fXbZ8QUJgQxC6qcQcxpUBEDCXNiWid3HSIiIiIiIllQECMiIiIiqUVi1TA5VjAynKwrYqJBTLqQJ286mCEItkFwAHb/yX77ytszqoZp7PLTNWAPHRbNWWDdN+y3Km/KVlqPcaAReg4xq8xREZPYmgwS2pONRRBTY60l2GW1KHO67EPgSahIMiPw6OdHdUnTNOkN2L8mBTkJFTFJrclOk4qYwSCm3QrpREREREREpgAFMSIiIiKSWjbzYSDepmssKmLAmp9ihq3KnEPPQjAhDDBccN5bM7rMPkdbsgKvwYyK6Bv6sfZovgooXWF93rWXWcX2c5xo77fviIYn3T2d1DW1EY6MIhRw58QDhlRzZwqr4QJHVcy+B+HoMyO+ZH8wjHPJQ1XEnOzopz9gb2U2KbzFVnAWCSXP1BERERERETlNKYgRERERkdSyCWLCA1ZoYhjgyR/+eLACFkgfxLjckFNqfb7vSftti9ZC8bSMLrPf0ZZsUU0BLle0kiaxKqdgNuTPBNNkltde6WKbERM9fltrMVf8zODyb2/ijh89T4+j1VdW8mLtyVIEMQCv+hjkFtn3PfIZiERGdLlUay3MjQcx8yqTw7TDLadBezLDUHsyERERERGZchTEiIiIiEhq2QQxsbZk7vzM2piZ5vAVMQDeUuhqheYj9v0r7xj+GlHOipgltWXxjXC0IsYVbY9WugLcucwq8NvuU985QChsDz3u2WzSNmAFOhsPtfLx37+EOdJ2WbE5MYG2eECVKK8ULny7fd+pbbDrDyO6XM9AchBT4HPHL5fjZkapvT3badOezFdhffQriBERERERkalBQYyIiIiIpJZVEJNtW7Jg/HOXN/1x3kI4tse+r6AaFl+X2XVIrohZXJtQWRJrTRabU+PyQPGSpNZk4YhJfeeAbd+OentY8+DOen787NGM12XjybfabpmmNacmldVvhxJHFdBjX7Dm52Sp129vM+Z1G/g8bts+55yYQ82nQUUM2IMYzYkREREREZEpQEGMiIiIiKSWVRATbd2V9XwY79AVNKEBOL7Pvu+8N4N7iPAm8TIRk/2N9lkiS2qiQUy6qpz8WZQWFVLotb/Jf7wt3p6spcdPa28Qp6889DJbjrZltLYkedGQJdWcGICCmXDBm+z7Oo/D89/P+lLO1mQFCfNhYpxzYk6bihhvCRhuK8wLnSbhkIiIiIiIyBAUxIiIiIhIapFoEOPKZEZMLIjJcD5MJm3JAI4+C37HfJYs2pIdb+9jIGQPVBbXRgOGSDBeUZG4DsPAKF3OTEdVTOKcGGeVTUwoYvIvv3yR5m5/ytuHFJsTM9AMkXDy7e5cWHAl1C6173/6W9B5MqtL9TqDmJxUQcxpWhFjuMAXnROj9mQiIiIiIjIFTGoQs2HDBl772tcyffp0DMPgT3/6k+32t7/97RiGYft30UUX2Y7x+/3cddddVFZWUlBQwE033cSJEydsx7S3t3PHHXdQUlJCSUkJd9xxBx0dHeP86ERERESmuJFUxLjHOIg5ttm+PWM1VC7K7BrA/lP2N+rL8r1UFUbbkMXakqWqysmtYlaZfW3H2/oHP3fOnUnU2OXnw7/dnvEaB3mLrSDLDIO/OfUxebVw4Vvs+/xdcP+7U4c3afQG7EFMYYYVMZHIadIKLCfaniygIEZERERERE5/kxrE9Pb2cu655/Ld73437THXX3899fX1g/8eeugh2+0f/OAHuf/++/n1r3/NM888Q09PDzfeeCPhcPwX0be85S1s376dhx9+mIcffpjt27dzxx2Z/yWliIiIyCuOacYH2WcSxISjIcVYV8Sc3GHfnn1eZueP2n+y3ra9uKYIwzCsjbBjPozDzKoq2/bR1nhrrv1DBDEATx9oYfepzqzWCkBurComTXuyvBqomg+LL7fvP/o0bLwn48t0DziCmNzkIGa+I4jpD4Zp6Mp+Hs24UEWMiIiIiIhMIcm/cU2gdevWsW7duiGP8fl81NbWpryts7OTH/3oR/z85z/nmmuuAeAXv/gFs2bN4tFHH+W6667j5Zdf5uGHH+a5557jwgsvBODee+/l4osvZt++fSxZsmRsH5SIiIjImSBWLWIYw4clkXBCqJGX2fkHjx/i3L2t0HrUvq9yFkRC4Mrsx9h99R227SW1RfGNwTAodRCzsLYcODW4/dKJeLCyz9Ga7N0rTX6/z01rX2Rw3+5TXZw9vSSjdQ7Kq4Wew9DfCKWm9fVP5C21vh8XvhUaDkBXQtD0+Bdh/hUwfeWwl0lqTZaiIqam2EdBjpveQPwPnA419zC9NMPv8XjKKbOqmMJ+CPVmPptIRERERERkEkxqEJOJJ598kurqakpLS7niiiv40pe+RHV1NQBbt24lGAyydu3aweOnT5/O8uXL2bhxI9dddx2bNm2ipKRkMIQBuOiiiygpKWHjxo1pgxi/34/fH+/t3dVlDXkNBoMEg8mDWV+pYl8LfU1ETj96fYpMDaftazXQjREOgTsXMxQa+thQj3Wsy4sZBsIZPJZAL0Y4hBkxIM1jNw49afth1fT4CJfNxOw+Bvmzh79GqI99zQESi8AXVObHv9aB6LojLswUa1gxrci2XdfWR0N7D+UFOUmtyS6YFuJwB6w/Eg9ODjZ2Zf99NYowTBcE+zB7G8FXkXyMtxwj2AfXfBL3Hz+AQbRdWCSE+ft3Enrn45AzdDDR1R+wbed7XSnXOq+ygF2nuga3DzR0cdHc0uwe0zgxXEUQaMXsbcjs+TAGTtvXq4gMSa9dkalDr1eRqUGv1bhMvwandRCzbt063vCGNzBnzhyOHDnCv//7v3P11VezdetWfD4fDQ0N5OTkUFZWZrtfTU0NDQ1WO4eGhobB4CZRdXX14DGpfOUrX+ELX/hC0v5HHnmE/PwMW268gqxfv36ylyAiaej1KTI1nG6vVZ/ZQWl4P0GjgDZ3YMhjc8wOysL7CRn5tLozm1NSEj5MrtlCt6uRPtfRlMecc/znzEvYbsudzYFt2wkaB2lzLxv2GvmReo52TLftazm0k4dadgJQGDlBQeQUfa5qul2NSfcPm5DjchOIxMOVH/7pcWYUmPT67T9G953YQ15/BTBzcN+mXYd5KHRw2HU6FYcPk2e20Oc6QbcrOWDIjbRREjlI2MijquZGFjf+ZfA2o+0Qzf97K9vm/DOhIaqTdh11kRhQtTfV89BDJ5OO8wXsxz2xZQ8VbbuyfkzjoTBykoLISQaMo3S650/otU+316uIZEavXZGpQ69XkalBr1Xo6+vL6LjTOoh54xvfOPj58uXLWbNmDXPmzOHBBx/k1ltvTXs/0zTjvb/B9nm6Y5w++clP8uEPf3hwu6uri1mzZrF27VqKi4uzfShnrGAwyPr167n22mvxer2TvRwRSaDXp8jUcNq+VvvqMDqKIbcGs/z8oY/tPYrRWQy5tZjlazI6vdG6GfxNmKXnQv6slMd4fvBF23bp6n9gzfyzABOz+nLwFKa8X0yg/mn8z/fb9t14zRXMr4pWi3TswOg7jlm0GIoWpzzHbxpf4Pkj7YPb7ur5zJpbDi9uG9xX6PNw3TXX0rftFH9O+DufXncRN9xw6ZBrTGmgAaNtC7jzMWuuTr49EsRoeAQwMSveTeSXJ3GdenHw5umdW5lW9xXCr/sfzJkXpLzEM3/aDfXx4GXJgrnccMPSpOMOP3GIrY8fGtwOF1Zyww2ZfY/Hnb8Zo/V5cOdh1rx6Qi552r5eRWRIeu2KTB16vYpMDXqtxsU6aQ3ntA5inKZNm8acOXM4cOAAALW1tQQCAdrb221VMU1NTVxyySWDxzQ2Jv+FY3NzMzU1NWmv5fP58PmS+4V7vd5X/JMrFX1dRE5fen2KTA2n3WvVCIPbY7W4Gm5dRsg61lc8/LExrsjQ5+9phpYDtl3uhddAPtDfAIF6yBuiKibUR1tfL4nVHABVJfnxr7PLjK67MO26V88ptwUxO+paKC+0V5osqS0ip2g2C8vt1dZ1bX3gcuN129cwLPd06PKBGQD6wev8IyAv5NeAvwXohn/4Ifzgcgj0DB5hdBzF87Mb4dIPwJIboHIx5JUO3t4XjNjOWJKfk/L5t7jWPuPmSEvf6fM8dddApxfMIBhB8Exc1fpp93oVkYzotSsydej1KjI16LVKxo8/y98KJ1drayvHjx9n2rRpAKxevRqv12srgaqvr2fXrl2DQczFF19MZ2cnmzdvHjzm+eefp7Ozc/AYEREREXGIRGfluXOHPzYcLcX2ZDHEPRJtd+bOSX37sWfs294CmH5evHqm7wSYkaS7Deqvp30geXdxbsLfIYWjj9GVZg3Aytn2Frg7Tvayp97+F0+La4rAV8mCcvuP1qGIyfG2zMrUbVxuyK2yPu9P00o3L/oHRQNNULEAXv9/kGOfaYMZgWe+Az+6Fr42B765BH52Mzz6ec5qe4zZRiNE58sU+FL/fdZg9VBUfecAvf5hZgZNFJcbvKXW5/7WSV2KiIiIiIjIUCY1iOnp6WH79u1s374dgCNHjrB9+3bq6uro6enh3/7t39i0aRNHjx7lySef5LWvfS2VlZXccsstAJSUlPDOd76Tj3zkIzz22GNs27aN22+/nRUrVnDNNdcAcNZZZ3H99ddz55138txzz/Hcc89x5513cuONN7JkyZLJeugiIiIip7dwNMVwJVcIJwlFwwZ3FhUJw4UgR562b8+5GNxeyK0Gt8+6/0BT+vP3n0oKYopzPXgSq1NiYdAQj3Hl7FL7aUPw2Mv2auslNYXgclNaWk1Fnmm77VBzb/o1DiW3NnrB+tS3+6IzEP2tEAnB4rXw3mdg1kXpz9nTAIefgGe+w/tb/pMNvg/xaM5HebVra9ogZl5lAc5uvh/7w0u09vizfEDjxFdhfQy0Te46REREREREhjCpQcyWLVtYuXIlK1euBODDH/4wK1eu5LOf/Sxut5udO3fyute9jsWLF/O2t72NxYsXs2nTJoqK4n/t953vfIebb76Z2267jUsvvZT8/Hz+8pe/4Ha7B4+57777WLFiBWvXrmXt2rWcc845/PznP5/wxysiIiIyZYSzqYiJzmHJtDVUJARm2Prcleb8Rx1BzNxXWR8NV7wqpmtv6qqYUB8EOuhwBDFlBY7QZ7DqJ30QU1noY3a5/XH1+MO27cW10Z9Nc2tZYC+g4XBzDyOSWwOGAcGueNCVyFsIngLr8fefsvaVzYV3PARX/zu4MutAvNB1ih/lfItrt90FrYeSbs/1upMe/4Mv1XPNt5/ige0nMU0z6T4TKhbE+Jsndx0iIiIiIiJDmNQZMVdeeeWQv7z9/e9/H/Ycubm53HPPPdxzzz1pjykvL+cXv/jFiNYoIiIi8ooUiaYYQ4QU1nHhhNAmw9Zkg9U2Hqu9lFN3I7Tst++LBTEAhQug7zgEu6HzZSg9235stIqkI1wIxEOM0vyEICYStgIhGLI1GcCq2aXWvJc0ltTEgpga5pfC5lPx2w6NNIhx50BOuVXxMtAAhfOTjymYA517oOcwFMy29rnccPm/waJrYdP/wKlt0HYo/ljTqG18Cv7nIrjsw3DFx8EV/3ut2y+cw5ceetl2fHtfkA/8ejubDrXylVtXYDjLZiZKToX1PAr1g78NfOWTsw4REREREZEhTKkZMSIiIiIyQQZbhw1TEROrhnF5rX8ZnTsW8mRYDZNTANPOjW+7c6A0ut1zGAZa4rcNtED3AQDaQ4W205TlJ6wv1pbMcA27buecmESVhTlUFPoG17Wgyl49cnikrckA8qy5iGnbkxXMBsNtBVKJXwOwvl63/gDevxk+3QD/shne8FMraFnwatopTj5fOABPfRUe/jgk/LHUu141j6+//hz7fJ2oX79wnJ9sPDrCBzgGXO7416nvxOStQ0REREREZAgKYkRERETELhKMt/wariImHJsPk2E1DMRbgmXalmz2heB2hAB5NVZFCED7NmvNfSeh9Xnrc185HSF7KFJmq4gZZkZNglVDBDGLa4ps2/Nrq2zbI66IgXjA4G+zKj6cXF4oiLZp6zmc/jxuL1QtgbNvhms+B3f8kQuDP+CDgffRZJYmH7/5f+Hpbw5uGobBbWtm8ehHrmDd8tqkw7/04MtsPTaJM1ryZlgf+0+lblUnIiIiIiIyyRTEiIiIiIjdYOswr1UxMpTY/JJM58Mknj9dyHPEOR/m8tTHlZxtzUkJD0DzRmh70XojPm8aVF5Me5+9HVdJXkLlS3j4+TAxS6cVketN/XVwBjELZsyybbf3BWnrDQx7jZTcufEZKAPpqmLmRW9vhFBm1TeBUIRA2ORPkcu42v9N/jf0GkzD0SLu8f+ErT+x7aouyuV7t6/mO28817Y/FDF5330v0tLjz+j6Y85XaX0fI0EY0KwYERERERE5/SiIERERERG7LEKKwdZk7pEEMSkqYrpOWTNNEs27IvV5XG4oXxkfag9QOA/KV4Phor0vaDs8dUXM8I/R63ZxzozSlLctqbUHMTMrinFmNodHVRUz3frYdzLN4goht9r6vOdIRqfs9ccDqh7y+XLorXTe8D+AY87LXz8EL/816f63rJzJ+69aaNvX2OXnrl9uIxSehIoUw0ioilF7MhEREREROf0oiBERERERu+FahyWKtSbzjKA1Waog5thG+3ZOvn0+jFNOGZQss6p3Ss+G0uXWG/NAZ7+9EqWsIMWMmEzCJmDl7NKU+xfX2OfQeNwu5pbbzznqOTGGAYGOePWRU+F862PfcasqZBg9/lDSPs85r4d1X7PvNCPw+3+Cpr1Jx3/o2sVcurDCtm/T4Vb+32MHhr3+uMiPBTENEEl+fCIiIiIiIpNJQYyIiIiI2A3XOixRLBwYSUVMqmoUZxAzbZlV+TKUwvkw7bp4IBHlrIgpTayICWc+IwbSBzGLypIrQOZXl9i2RzUnxu2DnGjg0X8q9TG5VeAtsgKIvuPDnrI3kBxU5HvdcOG74VX/Zr8h7IeHPwGmaV+Wy+C/3rSS2mJ7mPb9DYfp7Bs+DBpzOaVWdZAZgf40bdxEREREREQmiYIYEREREbEbqmLFKdaabEQzYlKcv26TfXv6OZmd0zCSdnX0OSpi8hMrYjJvTQawcnZZ0r7phSbFkcak/Quq7e3KDo2mIgYgP9qeLF0QA1ZLNrDak0XCQ56u11ERU+jz4HJFv35XfwZW3m6/w+EnYN/fks5TWejjv9+6Co8r/rUPhCI8sCNNG7XxNtiebJKuLyIiIiIikkbWQczRo0f5+c9/zhe/+EU++clP8u1vf5snnniCgYGB8VifiIiIiEy0oSpWEkXCCfNkxqA1WV8bNO2x75u5KvPzJjBNk44hZ8Rk15qspjiXGaX2x7i4AutNf0e1yPwqe7uyUc2IAciNtSfrhFCaUCdvpvVYQn3QttWqDEmje8AexBT4EiqODAPWfR2Kptvv9MinIeRPOtfqOWVcd3atbd9vXhi+KmdcxNqT+Vviz2EREREREZHTQMZBzC9/+Usuuugi5s+fz0c/+lH+9Kc/8fTTT/PDH/6Q66+/npqaGt73vvdx7Nix8VyviIiIiIyRvkCI420p5o6EM6yIiVXDuLzWv0xEQvEZHs6g5/jz9m23d+j5MEPo9ocIRewBSUlewhrD2VXEAKyaY6+KOavSZZ3H32rbv6CqwLZd19ZHcDRD7N054Ku0Pu9LUxXjckP5GjBcMNAI7TuSAqKYXr+9YqbA57EfkFMA137Bvq/tMDz//ZTnu+38Wbbt3ae62HWyM/U6x5OnwJoZZJpDVw+JiIiIiIhMsIyCmFWrVvHtb3+b22+/naNHj9LQ0MDWrVt55pln2LNnD11dXTzwwANEIhHWrFnD7373u/Fet4iIiIiMUCAU4e5H97PyP9bzqq8/wc3//Swv13fFD4hkWBETjs2HGUE1jMtj/UvknA9TvRBy7NUlmeroTZ5TUlaQWBGT3YwYgHdcOnewDVdBjps3rq6xbnC0wnJWxIQiJsdaUwRe2cjLoD2ZrzwaxhjQdwI696Q8LFVrsiQr3gAzL7Dve+ob0J3ciu2yhZVML7GHdr/dMllVMTOtjz1HhqwKEhERERERmUgZBTFf/OIX2bJlC+9///uZPXt20u0+n48rr7yS73//+7z88svMnTt3rNcpIiIiImNgW107N97zNHc/egB/yHqjevvxDl57zzN865F9+EOJ7caGCWJC0XBhJPNhUoU8zvkwtUuyqlhJ1NFvnw/jdRsU5ERbcJlm1q3JAFbNLuPvH7qcb992Lo98+ArmzojOZek/ZXvTvyTPS2Wh/byjbk+WF21PFuyC4BDnyquBsvOsz3sOQ8dO8LfZ1tfjCGIKclIEMYYB675q3xfohsf/I+lQt8vg9atn2vb9adtJBoJDz6oZF/kzrUquUJ8VxoiIiIiIiJwGMgpiXvOa12R8wsrKSs4///wRL0hERERExl4oHOFLD+7h1u9tZH9j8hv5oYjJPY8f5DX/72n2NkWrSTJtTeYeQRDjPHegD05ts++rGXkQ0+6YD1Oan4NhRIfKR4Lxtl1ZVMQALKgq5NZVM615MTll4MmzWq0N2CtF5jvakx2qb8ruATi5vOCrsj7vG6baJH8mlCyzPu85Cs3PQv3foWUzdO2jraPFdnhpfpq2cjNWw7lvse/bdh807U069A1r7O3JugZC/H13w9DrHA8uDxQvtT7v3h8PFUVERERERCZRxjNiYl588UV27tw5uP3AAw9w880386lPfYpAIDDEPUVERERksnzuz7u59+kj6caGDDrY1Mvtfzbo9LuGn/sSa03mGUFrMmcQc3JLfHYMWLNOahYNHwal0dFn/7m0LDFsGGxL5rWuM1KGAXnRAfF9J2w3LXC0JzvcaA8/RqRgjvWxtw4iw1SbFC2A8tVWJY3LGw+LuvbT0mYPjaryhmjhdc3nHO3hTHj+e0mHzSrP59KFFbZ9k9qeLKfEesxd+yZnDSIiIiIiIgmy/s3z3e9+N/v37wfg8OHDvOlNbyI/P5/f/e53fOxjHxvzBYqIiIjI6PzxxRPc93xd0v6zpxfzrsvmDc49iWnpM7h3h3v4E8dak42kIsZZ6eKcD1MxB7y5WbUOS9Teaw9iSvMT58Nk35YsrdhMkoFGCMevucBZEdPcb7t9RHJrohU4gcyG0edPh4o1MO06qL4cSs+Ggtk0D9irgCpdDdC0Afrrk89RVAsXvse+b8dvoK8t6dDbHFUxzx5s5XjbKGfjjIRhQMnZ1ud9dRDsnvg1iIiIiIiIJMg6iNm/fz/nnXceAL/73e+4/PLL+eUvf8lPfvIT/vCHP4z1+kRERERkFPY2dPGp+3fa9uW4XXz8+qX86V8u5TM3LuPP77+MpbVFtmP+b1uY1p5h2jrFWpONZEaMs9LFGcTULrGqVYarykkjqTVZXsJ5Yu2qRtj2zMZbBDmlVquz/pODu50VMYfaTcze5DAsK4YBBXOtz3uzmH9iGFaFSOF8KDuXloD9+1WZ74JAJ7RugbYXSSqbOv9dVsuvmFA/bP1J0mWuO7uW4lz7vJnfTVZVjK/CqgYyTejcPTlrEBERERERico6iDFNk0jEal/w6KOPcsMNNwAwa9YsWlrGoOWCiIiIiIyJroEg7/3FiwwE7a2nvvb6Fbz3ygV43daPgsumF/Pdt6wksTCmNwg/2HA4/ckj4Xig4c6iNVk4RWuycBBOvGA/rnbpqCpWkluTJVbExIKY7ObDpBWrikmY3eKcEdPpN6g7dXQMrjXbCqgCnRBoH9EpWnrsX5uqGedC0SIrsOk7CW1bwUx4zhRPg7NvtZ/khR9a37cEuV43N6+cYdv35x0ZVO6Ml5KzrK/VQDMMjHJGj4iIiIiIyChkHcSsWbOG//zP/+TnP/85Tz31FK95zWsAOHLkCDU1NWO+QBERERHJnmmafOx3L3Gkpde2//aLZnPLyplJxy+sLuLm8+xvov9041GaugZSXyBWDePyZle1EknRmqz+JQg6WljVLgHXyObDAHT0OypiClJUxIxFazKw5sQYhhWORNtgzSzLt8+lAX6/awD8raO7ljsH8qPfp54sqmKiTNOk2VHpVFlcACVLoXyNFVz011vVMYlhzEWO9mRdJ+HlPyed/x9W2Z9bR1v7ONnRn/U6x4SnAArnWZ93vpxc6SMiIiIiIjJBsg5i7r77bl588UXe//738+lPf5qFCxcC8Pvf/55LLrlkzBcoIiIiItlbv6eRh3c32PadO7OEf79xWdr7fOCaRbgTqmL8oQj//cTB1AeHY/NhsqiGgdQVMXXO+TDzIbdoVEGJszVZWaoZMWPRmgyscCQ3+gdJfSesXS6D1zmCrd/vhXD30dFfryAaLvTXx7+eGeoaCBEI2SukKgujX4e8Wqg4P1pF0gitm63KJ4AZq2HWhfaTPff9pPOvmFFCSZ49gNp0aJTh02gULbLaqgW7Us/AERERERERmQAZBzH79+8H4JxzzmHnzp10dnbyuc99bvD2b3zjG/z0pz8d+xWKiIiISNYefbnRtl2a7+W/37oKn8ed9j5zKgq4bYW9CuVXm4+nrmgIRYOYbObDRMIQiQYkiSHLsU3246afa30cRVCS3JosIRyIjHFFDEB+dFB934nBygvn8Pr6HoOn9zdAOOC8d3ZySiCnzKpY6T2W1V1bUsz9qSpK+DrkVkPFhWC4rZZeXXvjt13oqIo5sRlObLXtcrkMLp5fYdu38dAkti92eaFwgfV5115VxYiIiIiIyKTIOIhZuXIlZ511Fh//+MfZtGlT0u25ubl4vSMbpioiIiIiY+tws70l2bsvX8DMsuFDk/df4CbHFX+zOhCO8F+P7k8+MBQ9vzubICbalsxwx9uZmSbUOYOYs6PnHnlrsnZHEFOaWBETHuMZMWAFGC4vhAfAbwUPy6YXs3xGse2w3+42of/E6K8Xa7nVe8zeQmwYLd32IKbI5yHX6wjnciuhfHX0/Ecg0GF9ftZNUOxoa/f895KucclCexCz6VAr5mQGIIXzre91qHewYklERERERGQiZRzEtLa28vWvf53W1lZuueUWampqeOc738mf//xnBgbS9A4XERERkUlxqLnHtr24pjCj+80oCPKW5fZ9v91ygod3Odo6xVqTeexD6YeUqi1Zw07ob7MfV3tW9LhRVMT0OmbEJLbLGuvWZGC184rNbuk7Prj7jY6qmPVHoLX56OivlzfN+vqEB6D7UMZ3a+mxB1SVRWm+Bnk11uMxTWjfYYU9bg9c8C77cbvvhy77c+OSBfYgpr5zgGOtjhlAE8nlgSKrnTLd+7IKrkRERERERMZCxkFMbm4ur33ta/nhD39IfX09999/P1VVVXziE5+goqKC173udfz4xz+mqalpPNcrIiIiIsNo6w0kzUhZUJVBEGOaEPHzvtUmuV77j4kf/d1LHGnpjR5m8vDLnXx4vcEPN3clzRxJKxz9453EgOXgo/ZjyuZCQYn1+QiDkmA4Qrc/ZD9tQeKMmHFoTQbx9mT9DRCxrn/TeTPweeJfy2DE4P7dvTAwynZdhgtKovN+uvdbM1Ay0Nxt/wOqysIhqoJKzraqfIJd0HPE2rfqbeBJmAsUCcGL9vbEC6oK7e3OgI2TOScGoGCuFQCG+qG3bnLXIiIiIiIirzgZBzGJDMPgkksu4atf/Sp79uxh+/btXH755fzkJz9h1qxZ/Pd///dYr1NEREREMnTYUQ3jdRvMLMtLc3SCSBBMk+oC+PQNS203dftDvPcXWznY1MM7fvIC7/mrnz/uM/jPR45z79OHM1tYrDVZYkXMwcfsxyy8NiEoGVlrss7+YNK+0tiMGDMyGJKMaWsygJxS8BaCGYY+683+kjwv65bX2g777R4DsyfDr9lQ8mdCXq31mNpezKjSI6kipnCIMMrts8IYgK591lyg/HI45zb7cVv+D8Lxr7lhGElVMZM6JwbA5YaiRdbn3futeUUiIiIiIiITZERBjNOiRYv4yEc+woYNGzh16hRr164di9OKiIiIyAg425LNrSjA487gx75YUOLK4faL5nLLyhm2m/c2dHPNt5/iyX3Ntv2/fiHDCoPB2SzRgGWgC44/Zz9m4TUJx42sYqXDMR8GoDQvx74Gw4jPqRlLhfOtjz2HBwfD33a+vT3Z/jaD7cearOqM0So91wpMgt3WMPphtPTYZ8Q4K1eSFMwCX6UVLnW8ZO0739GerKcB9j5o2+UMYiZ9TgxAwWzw5FvPgT5VxYiIiIiIyMTJOIj54x//yD/+4z/y8MMPs2rVKv7whz+kPK6iooJFixaN2QJFREREJDuHm3tt2/OrMpzjkjDDxTAMvnTL8oxmyxxv6+d4WwYzQJytyY5siFenALhzYM6F8cqOEbYOc7ZlK/R5yIm1BxucDzPG1TAxeTOjg+H7of8UABfNq2BWub0i6be7gd5jo7+eO8cKY8CaFeMfugWYM4ip9PZarbr6G8DfNhge2ZSdY7VCG2i2jpt2Dsy60H7MCz+0bV6yoNK23dobYH+jPSCccIYrHpQlzPEREREREREZbxkHMf/zP//DX/7yF9xuN1/96lf5whe+MJ7rEhEREZERclbEZDQfBpKCkvwcD9+7fTWFPs+wd92UyQwQZ8sx53yY2RdbA+HBqlYxRla83d5rr4gpyUuofBnvIMblhsJ51uc9h6xdLoPbVturYu7fD01NR8dmcHxejVXtAdC21QpkIo72bJEg9DfQ3NFu213paoL2HdD6AjQ/C01PQX+j/b6egniA0X3Q+nj+nfZjjj4NTS8Pbs4qz09qhzfp7ckA8mZY1VCBTquKSEREREREZAJk/Nuty+Xi7LPP5tprr2Xt2rWUlZWN57pEREREZISSK2IyDGJSzGZZUFXI119/TtKhFXn2yomM3mSPBT0un1V5kTQf5hpbVc5IdTgqYsoKJjCIAWswvOG23uwfsL4ur18zE7fLGDxkIGTwvS2hwaqZUSs525pPE/ZD5x6oX28FLJ0vQ9PTUP93aH0heUZMWQXkVkNOmRV+BbuhdTM0b4JAR/zAwnlWMBZotypnlt0E+faql+SqGOecmAzCuvHmzoHcGuvzvhOTuxYREREREXnFyDiIqays5Gc/+9ngdjisAZciIiIip5tAKMIxR5uwBdm2JnPMZrlhxTS+eusK5lbkc/7cMu57YzkfutAexGw6nMEMkMGKm1xoOQCdjjkdC6+Jh0EjnA8D0NFvDxvK8hNCl4kIYtw51mwVGKyKmVaSx+tXzbQddt9OOFV/eGyu6fJA1eVQdi54i62ZLr11VgVLoANME9OdT3OfYbtb5bSzoPJCqL4Mal8NRQuswMXfYgU4vdHvkTsX8qOPqfsgeHyw+m32Nez4NfjjVSbO9mTPHW4lHJnkOTEA+dHvQ9+J1K3YRERERERExljGQcwPf/hD5s+3WhIEAgG+853vjNuiRERERGRk6tr6kt7szrwixjHDJcGbLpjNkx+9it+95xIunRHmkhn22xu7/Bxu6U26X/zc4Xi7LHducluyoulQfVbyHJkRcM6IKU0VxIzi/BmJtfIaaBpsgXXXqxfidceDkEDE4Lsbu6zKmbHgclstymqugKpLrTCoYBaUr4Rp19JddjkBx99SVRUmfB1cXihZBjVXQ/50a1/HS/FWZUULoo+p0XpMq99hbx8X6LHCmKiLHRUx3QMhdp8ao8c6Grk11mMND1iBk4iIiIiIyDjLOIjJz88f/DwnJ4fzzz9/XBYkIiIiIiPnnA9TWeizz0gZymBFzDBtwUK9zCuF2mJ7VcmQradilS6Gy3oT3BnELHy1NbtjLCpi+pwVMRPcmgysuSp506zPo1UxM8vyedP5s22H/fZlOH7ywNhf31cOZedZ//JngjuX5m5/0mFVRSm+zp48KF9thTimac2dCbTbH1P3QSidBYvX2e+7+V6IWHNvaopzme+oxjot2pMZLsiPJolqTyYiIiIiIhMg6wmoAwMDfOMb3+CGG25gzZo1rFq1yvZPRERERCZP8nyYDNuSQWbVKJEQRAIYRnLrqU1DzYlJbEsW7Idjz9pvX3hN9LjRz4hp782gIma8gxiIV5D0nYRQPwDvv3ohPk/8R/BQxOC/NjRCOJDqDGOqxRHEFPo85Hrd6e9Qeo41P8YMQ8vzEOyBooXWbf3Rx3TBuxwX2Qf7Hx7cdM6J+dO2k0ROp/Zk/fXWc1pERERERGQcZR3E/NM//RNf//rXmTNnDjfeeCOve93rbP9EREREZPI4K2IWZNqWDOLVKEOFIKFo0OPK4eKkIKY1/ZvsiZUuR5+F0ED8NsMN8690rGE0rcnsoUZpYkVQeAKDmJwy8FWCGYHufYBVJXLHRXNsh/1xr8nBuoPjvpyWHvvXpbJwmK+B4YLyNZBTarWVa30O3PnRx2RalT7zroSqpfb7Pf3NwdkrVy6utt20t6Gbv+1qGN0DGQs5ZVaFjxm2whgREREREZFx5Mn2Dg8++CAPPfQQl1566XisR0RERERGITmIybAiJhKOVwYM1RYs3Gd99BQkzQBp7wuyt6GbZdOLU9wvoSLm4F/tt808H/JK7ceNojVZZ7+9IqasYBJak8WULIWmZ6wWWIULwVvIe65cwC8319EXHdgSMQ3e+LMjfP7mEm48ZzqGYQxz0pFp6bFXxKRsS+bkckPFhdD8jBXCde2xqmL8LdBbB8VL4LIPw/3/HL/Pya1wZAPMv4KrllazqLqQA03x5+V3Ht3P9ctrcbvG53FmLH8WdO21vjcFsyZ3LSIiIiIickbLuiJmxowZFBUVjcdaRERERGQUTNNMak2WcUVMJBqAGG5wDfG3OrGKGE8+M8vymV2eb7t5Y7r2ZIktxw6ut98Wa0vmPG6EkipiJqs1GViVF3m1VoVI117Amtvzjkvn2g5r7Ye7frWdO3+2hfrO/nFZinNGTGVhhmGXO8eaNQPQe9x6jniLrWqS3mOw/B+g1D77hme+bd3VZfChaxfbbjrY1MOfd5wcyUMYW7H2ZP6WwdZxIiIiIiIi4yHrIOZb3/oWH//4xzl27Nh4rEdERERERqi1N5BUDZLxjJhMA5DBIMY6r3MGyKZ0w9hjQU9HPbQ62nAtvNr6aEYSgpKRVcSYpkl7n6MiZjKDGIDiaOuu/noIdADwz5cvYF5l8vfm0ZebuO47G9hzqmvMl+GsiMk4iAHwlUNBNGzpeAkK5lqf9xwBlwsu/YD9+MNPwomtAFx/di3LptmrpO5+9ADBcCSL1Y8DTx74os/fgdOgXZqIiIiIiJyxsg5i1qxZw8DAAPPnz6eoqIjy8nLbPxERERGZHM5qmBy3i5ll+WmOdhhsHTbMm/OheGsyIKk92fNH2gileoM9dv7DG+37C2th2krr81hIYrjA5WUk+oNhAiH79cvyo+eKhKywByY2iPEWxasvolUxJXlefvPPF7F2WU3S4V0DIf77ybGfGTOqIAag+Czr6xbstr5Xbp/1fe1vgPNuhwL7PJhYVYzLZfCRtfaqmGOtffxh64msH8OYy6u1Pg40Tu46RERERETkjJb1jJg3v/nNnDx5ki9/+cvU1NSMWw9rEREREcmOcz7MvMqCzOdwRKJv0g9XiRKOhj1uK+BxBjE9/hA7T3aycnaZ437RIObQE/b9S9ZZFRWJx7hyYIQ/YzqrYSChNdlg0OO2Zp9MpOIl0H8SBpphoAVyK6kuzuUHd6zmb7sa+Oz922jpMwcPf/ZgC5GIiWsM56g099hbtmU0IyaROwdKzoL2HdB9APJmQF8d9B6Bqulwyfth/Wfjx+/9KzS9DNVncfXSas6bVcr24x2DN/+/xw5wy6oZ+DwT/L1I5KsGdoO/1QrqhmrLJyIiIiIiMkJZ/6axceNGNm3axLnnnjse6xERERGRETrsCGIybksGmbUmMyPxsMRjBTHVRblJw9g3HmpNDmJCfdDXASe32/cvvTG7NQyjvdceNrgMKPJFf+SNBTHuCayGifHkQ8Ec6DlqVcXkXgaAYRjcsGIay8qDXHnPzsHDO/qCvNzQxdnTS8ZsCS1JM2JG8HXInwV9x8HfZoVyhsv6PNABa/4Jnv4WDHTGj9/wTXj9jzAMqyrmjh9tHrzpVOcAf3zxJG++YHbydSaKt9Cq7gr1WrNiYhUyIiIiIiIiYyjr1mRLly6lv1/DLEVERERON4ccrckWVBVmfufYDJehKmLC/dbQecNtC0ucVTFbjrY57hewBrvXbQPiVR/kFMG8VyWsIcOqnCE4Z+SU5ufEq0omYz5MoqJF1tcu0A4DTbab5k6fxewSe/VL2nk7I2CaJs3O1mTZVsSAValUusL66G8Fd561v+cw+IrgwvfYj9/1ezj+AgCXLazkgnn2VsZP7LV/HSZFbrQ9nNqTiYiIiIjIOMk6iPnqV7/KRz7yEZ588klaW1vp6uqy/RMRERGRyTHuFTGhaNDjsc+dWTPX/ub6tuMdmGZC4BKO/hFP3Tb7+RZdA56EMCDTOTVDaO+zV8SU5ifMmpnsIMada1XFAHTts99mGFwyzz7QfiyDmG5/KGl2TlW2M2JivMVQMNf6PNwPmNBfb33/LnwP+OyPg4c/DpEIhmHwpvNn2W5Keq5MhtzobJuBJitoFBERERERGWNZBzHXX389mzZt4tWvfjXV1dWUlZVRVlZGaWkpZWVlw59ARERERMacPxSmrq3Pti+riphMQpBQ9Pwee8CzanapbbujL8iRloTqnHAfBAfg5E7bcba2ZBCviBlNazLHjJiy/ITQJRY2TVYQA1C0MFoV05FUFXPxEnuLruePtBEK28OTkXK2JQOoHGkQA1C0GFxeq11dJGR97D0G+eVwxcftx57cCi/9GoBVjpZ1zd1+TrRPcrW9r8L6noQHIKg/LBMRERERkbGX9YyYJ554YviDRERERGRCHWvtI+L4Y/6sKmIyCUFiFTFue0XMjNI8qop8NCe82b+troP5sSAo3A8nXoJwQkji8sDCa+znD2fQHm0YHY4ZMWWnU0UMWEFX4VzoPmRVxcSqMYCLF1bbDu3xh9h5sjN53s4ItPTYvy6FPg95Oe6Rn9CdY7Va69xjfV0NlzX/pnAhXPDPsPX/oPVg/PhHPw9nvZY5FYWU5Xttgdm24x3MKs9PusSEMVyQWwX9DVZ7spyxm8sjIiIiIiICIwhirrjiivFYh4iIiIiMgrMtWXWRj6Jcb5qjHUwzoVpkqBkxqStiDMNg5axSHtkTn7HxYl07/7B6prUR6oNjW+3nmvsqyCt1nD8WBo2mNVnyjJhBp0MQA1C4wAotYlUx0TCmuiiXRVV5HGiOV4hsPNQ6JkFMs6MiprJwDL4GhfOg96j1/Am2W1UlfcegcD5c9xX45Rvix/Y0woZvYlz7BVbOLuPxhNkwLx5r56Zzp49+PaORWxMPYooXT+5aRERERETkjJNRa7K6urqsTnry5MkRLUZERERERuZUx4Bte27FCKphDGPokGJwRkzyuVfNsYcF2+o64huBbji+3X6Hpa9Jv45RtCbrcM6IyTvNKmIgXhUDSbNinFUxYzUnpqXHGcSMoi1ZjOGC4rOs541pWl/f7oMQCcPitbDwWvvxz/0PtB5KamW37XjH6NcyWrHKpEBHPBAUEREREREZIxkFMeeffz533nknmzdvTntMZ2cn9957L8uXL+ePf/zjmC1QRERERIbX4w/ZtkvyM6yGAXs1jGGkP25wRkxyG6mVs0pt23sbuugLRNd0/AXw99rvsGTd0OsYoY5+x4yYgtOwIgasqpjYrJj+eCXRJQsqbIe9cLQNfyg86ss5g5iqojEIYgDyp0NOmfXP32J9D/uif8R13ZetFnQx4QD85QOsnGVv/bXnVCcDwdE/xlFx58Zbkjlm94iIiIiIiIxWRkHMyy+/TElJCddffz01NTW85jWv4c477+Suu+7i9ttvZ9WqVVRXV/OTn/yEb3zjG9x1113jvW4RERERSdDrCGIKfVl0oI3NZhmqJVh4AMywFdS485JuPmdmKW5XPMSJmLDjeKe1cWSj/eBp50HJTPu+SMg6P4wqiGlzzIgpTTUjZhStz8ZMYlVM9/7B3RfOq7BlYf5QhO2J1UUjNC4VMTGlZ1vVMYYHgt1WVYwZgarFcOF77McefZo19b+yPcZg2GT3qc6xW89I5dZYHwcahz5OREREREQkSxkFMeXl5Xzzm9/k1KlTfO9732Px4sW0tLRw4MABAN761reydetWnn32WdatS/HXjSIiIiIyrrpHE8REMqhEiVXDuPOsN90d8nLcnDWtyLZv2/F2K2Cpc8yHWXpj8vljYZDLA66RD5E/0d5v264pSmhzFj6NKmIgWhXjsqpi/FYLsrKCHJZNK7YdtnEM2pMlz4gZwyAmpwwKZoGvEvpPWbOEeqNVMVd8DIrtoZvvqf/k+soW274Xj3WM3XpGKhbE+JutIElERERERGSMZPEbOuTm5nLrrbdy6623jtd6RERERGQEnBUxBVlVxGQwmyXUY31MMR8mZtXsMnad7BrcfvFYB7Tugy5Hq6fFa5PvnEkYNIwefyip8mNuZbSNmmmCGW1bdroEMW4fFMyGnqNWFYnPakt2yYIKdp+Kfx03HWziQ9eOboB8c4+9UqiyaIy/BsXLrBZrOaXW0HtPgfXYckvglu/BT28CTOvYcIDPBb7D43wOP9Y6th1vH9v1jIS3xPqehP0QaB/8foiIiIiIiIxWRhUxIiIiInJ6S25NlkVVSSRWjTJURUx0xssQQcxKxxD27cfbMQ89bj8ovwJqViTfOZMwaBjHWu1zaAwDZpZFg5hI0ApjAFxZzM8Zb4XzrYUONEHQCl8uWVBpO2Tb8c74vJ0RanFUxFSNZUUMgDsHSpeDrwoGmsHfBn0nrNvmXQ6X2FsX1/qP8DHPbwa3t41B+7VRMwyrqgeseTciIiIiIiJjREGMiIiIyBmgZ9wrYoYPYlbNLrNtt/QE6Nu/wX7QvCvAleJH0EgGc2qGcay1z7Y9vSSPXG80kIrNh3F5U7ZWmzSeAsibZn3efQiA8+eV2+btBCOw5cjI25OZppk8I6ZoHObk5M+AvFqrxVfvUejca7WmA7j6M1BrD+De6fkb17leAKC+c4D6zn4mnYIYEREREREZB6fRb6EiIiIiMlK9/rBtO7sgJoMQZDCIKUx7yOzyfMoL4i2vDCJ4jm+2HzT/ijRriLUmG3lFzFFHRcycivz4RuQ0mw+TqHCB9bH/JIT6KfR5OHdmie2QjfuOjfj03f4Q/pB95smYV8TElK6wwphwAPpPQPd+a7/HB7f+EDz27+9/eb/LGmMvcJpUxcSCmEB7PEQSEREREREZJQUxIiIiImcAZ0VMUTZBzHDzWUwzo4oYwzBYOat0cHuJcQJfsMN+0Pwrh17DaCpiWuwVMXMqEtZ6OgcxOaVWAGCa0HMYSG5PtunQyCtinG3JACrHK4jx5EPp2VAwB3qOQccuCHZbt1UvhWv/w3Z4rhHkRznfZJFxghePnQZzYjz51j/ThEDbZK9GRERERETOEApiRERERM4Ao2tNFquISVONEh4AM2zN0HDnpz4matWceHuyS1077TeWzbX+DbWGoebUDMNZETN3qlTEABQttD72HoNIkIsX2AfF72wK09VRP6JTt/QEbNuFPg95OVnMEMpWwTzr8eSUWBUxbS/Gb7vgn2HlHbbDS4w+fprzVeqOHhi/NWUjVhUz0Dy56xARERERkTPGiIKYn//851x66aVMnz6dY8esNgl33303DzzwwJguTkREREQy0zvSICYSBDPatipdCBKrhnHnW2HMEBIrYi517bbfOC9NWzLIbE7NMJwzYlJWxLhP0yAmtwq8xVbg1XOU1XPKyHHHf1SPmAab940sqNjX2G3brh6P+TCJDAPKV0PxEuv51foC9NTFb7vxbli8znaX6UYbH2v+JIHOpvFdWyY0J0ZERERERMZY1kHM9773PT784Q9zww030NHRQThs9SMvLS3l7rvvHuv1iYiIiMgwIhGTvoB9RkxhpkHM4GwWD7jSVEmEh58PE3POrFJcBngJcaHrZfuN6dqSwahbk/UHwjR0Ddj2za2cQhUxEK+K6TlMrhtWzSm13bzxcFe8zVcWNh2yBwrnJYRl48adA1WXQf4sCHZCwyNWKAPg9sDrf0xo+vm2uyw0ThL+6U3QN8ktwWJBTLDLmnUjIiIiIiIySlkHMffccw/33nsvn/70p3G747+sr1mzhp07dw5xTxEREREZD72B5KHiBb4MW09FMqhECfZYH4eYDxNT6POwuKaI84yDFBiO2STpKmJMMyEQGlkQU9fWl7RvdvkUC2LyplvzSSIB6KtLmhOz8QSDM2QyFYmYSfNlnG3Pxk1OCUxbC+48q+Va4xMJt+Xjuf23HHPNst0lr+1l+NkkhzFuH3iLrM9VFSMiIiIiImMg6yDmyJEjrFy5Mmm/z+ejt7c3xT1EREREZDz1+sNJ+zKviMlgNkusNVkGQQxYg+Yvc++y7QtWLYeCNAFALAwyjBEHJc75MDXFPvJzEr4Gg0HPaRzEGEa8Kqb7IJfML7fdvLfVoLX1RFZVGnsbumnvC9r2TVgQA1AwG6qvBAxoegZat8Rvyy/npwu+xQnTHjjRsBN+fgv0t0/cOp18VdZHBTEiIiIiIjIGsg5i5s2bx/bt25P2/+1vf2PZsmVjsSYRERERyUKPP5i0L/MZMRlUxISzC2LecencpPkwz7FiiPP3x9cwzAyadI45ghjbfBiYGhUxYLXycudCeIBzKrrJz7FXNj13IgI9hzI+3UZHW7LZ5fnMLMtPc/Q4qboYylcBJpz8C3TtH7ypdtZC3hT4DCdNRzhUvx1+8XoIOaqqJormxIiIiIiIyBjKOoj56Ec/yr/8y7/wm9/8BtM02bx5M1/60pf41Kc+xUc/+tHxWKOIiIiIDKHHURHj87jwujP8MW+4ihjThFC07VcGM2IAZuWHWOk6aNv34/o5HE/RPsy2BndeRudP5Wir/dxzKxxhw1QJYgwXFC0AIKfvMOfPtVfFbDxhQM+R+NdsGM62ZJdMZDVMjGHAjJugaBGYEaj7HfQcA2BxTREnzGreHPgMp0z7Y+XkFtjwzYlfL4Cvwlp3qBdC/ZOzBhEREREROWNkHcS84x3v4HOf+xwf+9jH6Ovr4y1veQvf//73+a//+i/e9KY3jccaRURERGQIvX77jJiM25JBvGWXO00QE+633jw3XENXzSQ6thE38XAoYLp5LrSYex4/kP4akPn5U13yTKmIAcifDS4vhHq5ZLbXdtOmk24ww9Cd5muZIBSO8PwR+6yVCW1LlsjlgjlvgrwZVoh0/A/Qc5TFNdYsljqzhrcEPk2DWWa/3zPftlqVTfh6PeAttT5XVYyIiIiIiIxS1kEMwJ133smxY8doamqioaGB48eP8853vnOs1yYiIiIiGehxBDEZtyWD4VuTJc6HybRt2JGnbJsvmovpJ5c/vHiSIy0pZgqORUVMi7MiJiGIMSMQiX6NpkIQ4/JA4XwALqm2z0k53B6hoQfoPRb/3qSx61RX0nNj0oIYAHcOzHkj5FZDoB1O/Y1p4d0URZ+vR81p/FPgo0SMhOdvJAR/eh+Ek9vvjbvB9mTNE39tERERERE5o4woiImprKykurp6rNYiIiIiIiPgrIjJKogZrjVZqMf6mOF8GACOP2/bfDZ8tnWpiMl/Pbo/+fhRVsT4Q2FOddrbR81JbE0Wq4YxDKvSZCoonAcuD8tKeynOtc+J2dRUbLWM69o35Cmc82EWVRdSXTTyqqMx4SuDmTdBwWzor8do3cLi8nj11B5zLi/Ofof9Pg0vwcb/N8ELJSGIaR36OBERERERkWFk8Vu6ZeXKlRgp/hrSMAxyc3NZuHAhb3/727nqqqvGZIEiIiIiMjRn1UOhz53myBTCWVTEZCLkT2oltdVcPPj5AztO8eYLZnPh/ITKjFFWxJxo78c07ftSBzHezKt6JpvLCwVzcXcf5MIZsP5Q/KaN9fncMr8L+k5C0ULwFqc8xWkxHyaVgjlQczW0boaeQywuLmNrfXz+0G9yb2NN1dPQvDd+nye/BktvhKolE7dOX7nVki88YL0OsgkjRUREREREEmRdEXP99ddz+PBhCgoKuOqqq7jyyispLCzk0KFDnH/++dTX13PNNdfwwAMPjMd6RURERMQhOYjJ8G9tzEjC7JR0FTGxIKYw9e1OjbsgHLDtOuyNBzGmCe//1TaauhKGzY+yIsY5H6aiIIei3ITKl9h63FOgLVmiooXg8nLJdHtbro1HujHzplsbnS+nvKs/FOaFo875MJXjsswRKVoAFedDydksKbF///Y09cHr/tsKQWLCfnjg/SQlbuPJcEFOqfW5v23IQ0VERERERIaSdRDT0tLCRz7yEZ5++mm+9a1v8e1vf5sNGzbwb//2b/T29vLII4/wmc98hi9+8YvjsV4RERERcRhxa7JYNYzhSh9SZFsRc/JF+3bpTN521Tm2Xc3dft7/q22EwhHrjfVRVsQ458PYqmEgIWyaYkGMywtFC7lkpn33yY5+jofnWNU9A03QX5901+11HQwEI4PbhgEXzS8f7xVnp2ghlK5g8fQq2+6DTT2EC4vgon+xH39iM+x/eAIXCOREv2YBBTEiIiIiIjJyWQcxv/3tb3nzm9+ctP9Nb3oTv/3tbwF485vfzL59Q/esFhEREZGx0esP27YzroiJxNqSpamGMSMQjoYcIw1iapby7svnc/li+5vtm4+08Y2/77PWYJrR+S1p1jEMZ0XM3ArHWqdqEANQMI/FVT4q8uyVIPe/1A6FC6yN9u0Q7LHdvtHRlmzZtGJK80/Dx1+0kCVzF9l2+cMGdSf2w+pboGye/fgN35zYqhgFMSIiIiIiMgayDmJyc3PZuHFj0v6NGzeSm2u1k4hEIvh8I/tFWkRERESy42xNlnlFTLQSJW1bsr5oSOLOvG3Yya327WnLcbkM7n7jecwotVe8/GDDYR7eecLacOeOeH7L0VZnRcwZFMS43BglS7litn33D585TKd3AfgqIBKCthesj1Gn7XyYFCpql1JZYH/O7muNwMApuOgd9oNPboHDT07c4nzRICbYk9RyT0REREREJFNZBzF33XUX73nPe/jABz7AL37xC+677z4+8IEP8N73vpd//dd/BeDvf/87K1euHPPFioiIiEiyEbcmG6yISROyZNuWbKATWvbb9007D4Dyghz+562ryHHbf/z86P0HaesHXCObDwMpKmIq07Umm6J/KJQ/izvPtz+m7oEQ9z59BMpXW9+/YI9VGQMcb+tj2/F22/GXnE7zYVJYXFti297fEraCpWlzoMTRm+3pb03cwlxe8BZZn6sqRkRERERERijrIOYzn/kM9957L5s3b+Zf//Vfueuuu9i8eTP33nsvn/70pwF4z3vew1/+8pcxX6yIiIiIJHNWxBSNVUVMOBpweAszO9+p7UBC2yiXG6bF/zjn3FmlfPa1y2x36faH+cE2Azwjmw8TDEc40d5v25e2IibdHJzTnWFw1oKzuXGRvSXXj589Qms/ULHGmvPTX89A+37ed9+LBMPxYz0ug/PnnWbzYRwW1xTZtve15wAh6zm04jr7wUefhrrnJ25xak8mIiIiIiKjlFUQEwqF+MIXvsDll1/Opk2baGtro62tjU2bNvGWt7xl8Li8vLzBNmUiIiIiMr5G3ppsmBkxsbkj7kznwzjaklXMgdwy2663XjibG1bU2vb99CVo6stwzQ6nOvoJRewBxdyKdBUxUzSIAcir4YOXluAy4o+1LxDmBxsOQ04ZlJwNwH/8dT87T3ba7nrLyhmZzw2aJEtq7UHM/jasgNBww6LLoMARJD39zYlbXKw9mV9BjIiIiIiIjExWQYzH4+Eb3/gG4XB4+INFREREZEIktyZzZ3bHsW5N5gxiqhYk3dcwDD523VLcrvg8mIGQwfc229uLZco5H6Ykz5s8lP5MCGKAhQtWcssS+xydn248SlPXABTO5Q/Havnlbvvt8yvz+eyNZ03kMkdkcY296upIh4E/bAARyCmGFTfY73DgEajfMTGLi1XEBDvA1O9BIiIiIiKSvaxbk11zzTU8+eST47AUERERERmJXr/9zeGMqx8ybU2WcRDzon27Zgm4ktcyt7KA16+yz/24b2sHpzr6k44dTtJ8GGc1DMQrf6Z4EIO3kA+8eiEeV7wqxh+KcPuPnudtP97Mpx9usR2e5zH53rU9FLU9AvWPQOOT0LQBGp+yPm98Alqeg47d0HvMqvgw7dVFE2WRozVZKAJHekut9ZghWHIl5NqPYcMEVcV48q2w0jQh0DEx1xQRERERkTNK1j0K1q1bxyc/+Ul27drF6tWrKSiw/2J+0003jdniRERERGR4I29NFg1iUlXEmBEIRYMRTwYzYrpOQfcp+75pK9IefterF/LHbScGZ5kEwibffeIgX74l/X1SOdpir4hJmg8DZ0xFDMDsmYt5w/Lj/Ool/+C+/Y097G/sSTr2K9f4WFIxYAUIYX88kEoU7AGa49uefCicB/mzrEH1E6Q418v0klxOdQ4M7ts3MIulpX3W9y8nD5avgy2/jd/p5T9Dwy6oXT7+C/SVQ98pzYkREREREZERyTqIee973wvAt7/97aTbDMNQ2zIRERGRCWSaZlIQk1FFjGkO3ZosFA04XJ7Mhtw7q2G8eVC5JO3hM8vyefP5s/nZc8cG9/32heO894oFzCpPUdWSxs6THbbt5PkwQStUgvSVP1OJYXDXdWv4w65nCUTSH3bHRXO4+crl1mOPBKx/YT9gAkb0HxDug2A3hHog0G593zt2Q9c+K4wpXjJhgczi2iJbELO/eQDOOg9aN1stwc56Nbz0VwgkhG9PfgXedN/4Ly7HCmIMBTEiIiIiIjICWbcmi0Qiaf8phBERERGZWP5QhLBjWH1GQUwkEG9DlapSJBx9s9udYSiSNB9mPniLUh8b9S9XzMLnjq89FDG5+9EDmV0P6AuE2FbXYdu3ck6Z/aDBahgPuDKcnXOam15RygeunJb29gvmlvOZ2FwYw2UFbd5iyK2C3Orox0rrX8FsKD0bKi+E2muh7Fzr+xYJQc8RaHo6WjUz/pY42pPta+iBvBrInwm4IK8UVqyz32nvX+HUtvFfnK/C+hhon7T2bSIiIiIiMnVlXREjIiIiIqcPZzUMZNiaLJIwN8VI8bc5odh8mFEEMcO0NKspMLljBfxwe3zfn7af5OPXL6G6OEWVjsMLR9sJJYRQHpfB+XPL7QcNzoc5A6phErzv2pWsqgmyq67JygVyyiCvlpqSPK47uxafZwShk8ttBTMFs2GgGTp2WM+D5qehbJUVioyjxY4gZn9jt/VJ8WLoP2lVN537D7Dr7+BPCIee+DK89XfjujY8RVaYFx7Aw8Dwx4uIiIiIiCQYURDT29vLU089RV1dHYFAwHbbv/7rv47JwkRERERkeL0pgpiMKmKGmg8D8dZkmVTERCLJVQlVC8CTYl6LbQ39vGeVyX27DPqjDyMcMfnjtpO854oFw1524yH7cPpzZ5UmP/bB9mtnVhBjGAYXn3shF88/CF17wWyHHBPKV0NiCGOaVpgS7IBAJ2CC4bb+uTzgKbZCHGe1UG4VVL0K2raAv81qD1a8FIoXjdtjWlJrD2Lq2vroC4TIzymw2qT11oGvAM59LWz+VfzAA4/A8c0w64JxWxuGYX2dgvV4ze7xu46IiIiIiJyRsg5itm3bxg033EBfXx+9vb2Ul5fT0tJCfn4+1dXVCmJEREREJpCzIsZlQK43g+6zwwUxsdZkmVTEtB4Ef5d9X9WC4UOccD+V+fCapXn8flf/4O7fvnCcd18+H8Mwhrz7pkOttu1LFlSkuEZC5c+ZqGgheEugbSsEOqDhMSs0cOVYs13CA1absaEYLsgpBV+lFXjEvuduH1ReDJ27oeeoFfjAuIUxC6sLMQx756/9jT2cN6sUihZD3wlrns2qO+ClB2Eg4Tn3xJfgHx8Yl3UNyimH3npyzIlp1SYiIiIiImeOrGfEfOhDH+K1r30tbW1t5OXl8dxzz3Hs2DFWr17NN7/5zfFYo4iIiIik0eu3z+gr8HmGDTCAeECRrlIkm4oYZ1uy/DIomT78TJZoGPTGc0tsuw+39LLlWPuQd+3sD7LrZKdt38WpgpjImdmazCa3Cqovt8IUsJKMsN+a7RIJWdUvvnIonAdFi6BwPhTMgfzpVhBnRqyql6790Pg4tL1oBR5ghTSlK6w5MmCFMf314/MwvG7mVtirqAbDNk+etWYAVwRW32a/8+En4egz47KuQTlW27scVBEjIiIiIiLZyboiZvv27fzgBz/A7Xbjdrvx+/3Mnz+fr3/967ztbW/j1ltvHY91ioiIiEgKPf6gbbsok7ZkAJFoRYxrDCpi6rfbt6vmg3uYtmQwGMSsmVvK/MpuDrf0Dt70mxeOJ897SbD5SBsJ42HI8bhYNbssxTXOzNZkSTz5UP0qiITBDEIkYM1UcXmt+SZDhXOhXvC3Qv8pazZM30nrX24NlJ1jhTWF861wrueIFdRUXRoPfsbQxQsqOJLwPFi/p4H3XhltU1e0EHqPWZU/q94B2/4AfQmB3V8/DO/8O+SleB6MhZwywMBlBiDcD17v+FxHRERERETOOFlXxHi93sG/sqypqaGurg6AkpKSwc9FREREZGL0pKiIychQrckiwXg7q0wqYhp22rcr5w0/HwasN7MBw53HG9bMst304Ev1dA8EU90LSJ4Ps3p2GbneFBU4keg8wzO5IiaRy219T73F4KuwPg5XIeUpgILZUHmRVVmTP93aP9AIzc9aQQ1AydlWOGNGrJkxof705xyha5fV2La3He+guTsWpuVaVT0A4Ta48B32O7fsg9/cASH/mK8LsL623mLr88DQFVsiIiIiIiKJsg5iVq5cyZYtWwC46qqr+OxnP8t9993HBz/4QVasWDHmCxQRERGR9HodM2IyD2KGqBQZbEvmG769mGlCwy77vvLZ4C3MYA3RN/I9efzD6hm4XfHAoD8Y5sGX0rfAymg+DCS0JjtDZ8SMtZwSKF8NNVdZAU2ozwpjgt1WoFO+ygojwn4rjBlu/kyWLllQQUFO/DlnmvDYy43xAwoXgssDgU4473bruZbo6NPwwL9AJDKm6xpcT6wKSEGMiIiIiIhkIesg5stf/jLTpk0D4Itf/CIVFRW8973vpampif/93/8d8wWKiIiISHrOIKYw29ZkqSpiwlnMh+moA799VgsVc4ZvTWaaCVU5eVQX5XLVkmrbIb/ZcjzlXVt6/OxtsM/puGRhmiDmldKabKx5C632Y7HQpflZK3xweaDiAuvrGeyCjpfG9LI+j5srllTZ9q3fkxDEuHOgIFoVM3AcXv8jyLPPGGLn7+DxL47pugZ5rbZnRrBjfM4vIiIiIiJnpKyDmDVr1nDVVVcBUFVVxUMPPURXVxcvvvgi55577pgvUERERETS60mqiBmmgiUmFlCkmhETa0WVyXyYRkc1jK8ACsqHr4iJ+K0wxjAG24a98Xx7e7JtdR0caEwejP7cYXs1TH6Om3Nmlqa/DrxyWpONJbcPqi6xZqNEgtC8yQpfPHlQvsb63vWdtObGjCFne7JnDrbQF0h4nhctsGbfBLuhdAbceg94HN/fZ74Nf7gTuhvGdG3kROcWBTutFm0iIiIiIiIZyDqIEREREZHTR8/ACFqThQPxN5GHbE02gvkw5XPA5QJ33jBriFbDuHyDM0yuWlJFVZF9Pb9+IbkqZqOjLdkF88rxulP8WGtGEmbdKIgZEZfXmh3jqwQzDK1brFDGVw4ly6xjOneDv23MLnnVkmpbmzp/KMKG/QkzgVxeKFxgfd61DxbeBDd9GwzHc2Dnb+GeNbDxuxBOP28oK558Init51agY2zOKSIiIiIiZ7ysg5jGxkbuuOMOpk+fjsfjwe122/6JiIiIyMTpDdiDmKJMgpjEuSnON68h3posk4oYZxBTMdsKcFKd13aN6HyYhMDG43Zx66oZtsN+tukoL9bZ53FkPB8mVvVjuKw372VkXB6oWGNVwoR6oX27tb9wPuRPtyqb2rbGv96jVJqfw4Xzym37bO3JAArnWc/fUC/0nYBzboe1n08+WaAbHvk0/OAKaN4/JusLGtFqL82JERERERGRDGXYRDzu7W9/O3V1dfz7v/8706ZNwzCM4e8kIiIiIuOixx+2bWdWERObzZKmSmRUFTGzrSHvGa/B3hrtTefP5t4Nh4mY1nYwbPIv973IX++6jIpCH/Wd/Rxp6bXd55IFlamvkRg4yei4vFY7suZnob8Bug9C0UIoPddqVxbsscKYyouGD+EycO2yGlvl0+N7GwmFI3hilU8uj3X9zj3QvR/yZ8DFH7Ce049+AQJ99hM27YZ7r4ZbfwBLXzOqtSmIERERERGRbGUdxDzzzDM8/fTTnHfeeeOwHBERERHJRm/SjJhsgpgU82FMM16tMlxFzEAXdByz76uYk2EQk1wRAzCvsoB3X7GA7z15aHBffecAH/zNdj7zmmV88o/24fAleV7Omlac5hrRIEZtycZGTimULof2l6BrrzU7xlcB5edD89Pgb4X2HVC+ctSXunZZDV/4y57B7fa+IFuPtXPh/ITqp4K50HPICg77jkPBHLjgPbDsFvj7J2HnH+wnDXTDr98Cl38UrvyU1UJvBAJG9PmtIEZERERERDKU9W8fs2bNwjTN8ViLiIiIiGSpxxHEFGbTmixVEBPxW/MvDGP4OS+Nu+3bLjeUTgdP4fBriIVBnuRrfOTaxVw0396a6ukDLVx39wZerOuw7b9wXrltnojNYEWMgpgxUzAH8mfG25GF+sFbaFXLGIbVJqxz76gvM7MsPylg++2WE2yra2dbXTtN3QPW861okXVj58tWVQ5AYQ38w4/hneuhelnyyTd8A371RgiNrJVakALAsJ7Dof4RnUNERERERF5Zsg5i7r77bj7xiU9w9OjRcViOiIiIiGRjVBUxqQKKwbZkedYb60NxtiUrmwVub3YVMa7kMMjjdnHPm1dRXTR0gOIy4G2XzE1/QCRgfVRFzNgqPQe8xVbFUetmiIQgt8pqUwbQfQB6jw19jgxcu6zGtv2HF09wy/9s5Jb/2cgFX3rMqpoqmGNV5kSC0Ppc/LkNMOsCeNdjsOK25JMfeAQe/vjIFma4rccPqooREREREZGMZBTElJWVUV5eTnl5OW9605t48sknWbBgAUVFRYP7Y/9EREREZOKMqCJmqNZkoej8lUzmwzQ6g5iZ1sdsZsSkqIgBqCry8d9vXZW22mVORT6/vPMiLl2YZj4MxFuTaUbM2HK5oeICK+AKdlmVMaYJBbOgeLF1TMdO6G8c1WXWOoIYp689vJeHdzdZa/EUWNUpLc9bwVBMTj7c+r9w/VetACXRlv+Dl34zorWZOWXWJ4G2Ed1fREREREReWTKaEXP33XeP8zJEREREZCScFTGjbk0WjlbEDDcfBpIrYipmW4Pah2tpZkbSzohJdP7ccj65bin/+eDLg/tcBtz5qvl88JrF5OW4094XUGuy8eTJswKQ5o0w0ASdu6B0BRQvsb63vcehbQuUrYT86SO6xNnTi1lcU8j+xp60x3z0dztYctdlzKu8CJqfiQZDW6y1GdG/OTMMuOi9UHM23PcGCCVUzfzlA1C7InULs6HklMHACVXEiIiIiIhIRjIKYt72treN9zpEREREZAScFTEFvmHCCciwNdkwQUw4BE0v2/eVz7YCnOFamoX7rQoKwz1sSPLOy+bRFwjzmxeOM6+ygI9dv4RzZpYOff7B68QCJwUx4yKnFMpXQesL0HPUes4ULbBal5lh6DtlVctE/FA4L+vTG4bB3W9cyef/sptdJzsB62nTHwwPHtPtD/HeX2zl/vddSt5gMNQMLZugaAnkJlRMzbscbvgm/Pn98X3BfvjtW+DODeCzz6QZkjdaERPshEjYqhISERERERFJI6MgJtFDDz2E2+3muuuus+1/5JFHCIfDrFu3bswWJyIiIiLphcIRBoIR275RtybLtCKm9aC9sgCgYg54Coe/fijhGsOENoZh8K+vXsS/vnrR8Od1UkXM+MurhdKzoWM3dO6xApjixVC2yvq69xyBjl1WKFayNOvTL5tezG/fffHgtmmafOg32/nT9lOD+/Y2dPOZP+3im284B6NijRUM+dvAvwl85VC02JphA7Dydji2EXb8Mn6RliPwl/fC6+/LfGGefCvgC/utMMY39i2aGzoHKPC5Kcr1jvm5RURERERkYmU0IybRJz7xCcLhcNL+SCTCJz7xiTFZlIiIiIgMrzeQ/DNZwXBBTCRotQaDNDNiMgxiGnfZtwurILcos/kwsTk0mRw7GpGA9VEVMeOrcD4URYOyrn3Q/pL1eelyKI6GL90HotUxwVFdyjAMvnzrChbX2AO/P7x4gt9vPQG51VD7aqsCx3BZgUzLc9bsmFC/Ffy95ptQ5QiFdv0V9vwhu8UMzokZ2/Zkx9v6eNuPN3PRVx7jvP9Yz593nBr+TiIiIiIiclrLOog5cOAAy5Yl91BeunQpBw8eHJNFiYiIiMjwnG3JIIMgZrAtmTc+QyPGjCRUywwTkiTNh5lrffQUDX0/iAcxw7U/Gw3TjAcxrpzxu45YSpZaM2IAeo9ZVSmRMBQvgrJzrQCk7xQ0PgkDLaO6VH6Oh+/dvjqp+uuexw9imqYVMJYutwcyA03Q+IRVoePNh9t+Zn1M9OjnrLAmUznRKphA26geT0w4YvLjZ46w9jsbeGp/8+C+T/1xJ229gTG5hoiIiIiITI6sg5iSkhIOHz6ctP/gwYMUFIzzXzWKiIiIyKDeFEHMsK3JBuempGpLFn0T2nCDe5jwwhnElM20PnozCGIG25+N48+OkYAVxoBak02UwrlQcX40+GiElmet0K1gNlRdan2/wwPW/JbOPfHKrBFYUFXI1/7hHNu+urY+jrclBCmxQKb6Cqt1mBm22qQ1Pwvlc+C6L9tP2nYcnv1a5osYw4qY4219vP77G/mPv+6xzcABK3D9wYZDo76GiIiIiIhMnqyDmJtuuokPfvCDHDoU/2Xg4MGDfOQjH+Gmm24a08WJiIiISHrOipg8rxu3a+iZK0RiFTEpwolM25JBcmuy8hnR+2ZRETOuQUxsPkzOsHNoZAzl1ULlxdbXPdAJTRusSpicMqi+3AplALoPQcNjVvXMCAOZG1bUUlloDww3HkpRbeMthMpLoOwccHms4KTleTjvrVC7wn7sph9C+4HMFpBTaoVOYX/8OT0CkYjJP/3kBbbVdaQ95qcbj9LUPZD2dhEREREROb1lHcR84xvfoKCggKVLlzJv3jzmzZvHWWedRUVFBd/85jfHY40iIiIikoKzImbYtmSQ0Hos1XyYDFuG9TRBT6N9X8UcK8BxuYdfQzaBz0iFNR9m0vjKrdDFVw6RkDUbpmOnFVqUnWtVzbhzredi+0tWu7K+E/EKpgwZhsHFCypt+zYeak13MBTMsapj3D4IdkHnjuSqmIFueOIL1rqHXYALvCXW56Ooitnf1M2Bpp6USx5cVjDC/zyhqhgRERERkalqRK3JNm7cyIMPPsj73vc+PvKRj/DYY4/x+OOPU1paOg5LFBEREZFUnEFMoS+DEGTI1mQZtgxztiXz5EJRTWbVMOEBq0WUYYA7b/jjR2qwIkZBzKTw5FmVMUULre2eo9D0lBVY5NVa81tKz7ZCkVAvtG2Dxseh53BmIUjUJQsqbNsbD7Vac2LSris/3j6tvwHKq+Gs19qP2fUQ1D2e2QJ80Tkx/pHPidl40B4eleV7+fU/X8Rtq2fZ9v/y+TpOdWQxw0ZERERERE4bWQcxYP312dq1a/noRz/K+9//fs4555zh7yQiIiIiY6rHb58lkVFFTKw1WapKkcFKlWECEmcQUzkfXK7M5sPEruHOs94MHy+xIGa4WTcyfgwXlJwFlRdGq1B6oOkZ6NhtVb8UzoeaV1vHuHKs50bHbmh4FDr3QiQ87CWcQUxLj5+DKapLbHLKrMocgO4DcNm/2J8nkTA88dV49diQ54oGMYFRBDGOKp61y2q5aH4Fd716IV53vCwmEI5wz+MHR3wdERERERGZPFn/9vu1r32N3/zmN4Pbt912GxUVFcyYMYMdO3aM6eJEREREJL2egaBtuzCb1mSuISpihmtN5pwPUzHX+phREDMB82EgXvmjipjJl1sNNVdB/kxru+cwND0JvXWAaVXN1F5jzXDxFEAkaAUkzc8MO3tldnk+M0rtwWHa9mSJ8mfGq3Vog/P/yX77sa2w//7hz5NTZn0MdlvrzlIoHOH5w/b1XrLQCpdmluXz5gtm22773ZbjvO3Hm3n7/23mzp9t4RfPHRu6AkgkgWma/PL5Oj70m+38bWf9ZC9HRERE5BUl6yDmBz/4AbNmWWXy69evZ/369fztb39j3bp1fPSjHx3zBYqIiIhIar0Be8VAZkHMEK3JMp3d4qyIKZsevV8WQcxwYc9oqTXZ6cXlhfKVVnWMJ896rrXvgPpHoH07BDutGS41V0HFGqtCJtgFTU9Df2Pa0xqGwUXz7VUxmzIJYgCKl1ohkRmB5ddCvn3eDM/da1XxDMXti4eKI5gTs/tUF92OFoMXJzyef7lqIT5P/Fe2UMTkqf3NPLmvmfV7GvnMn3bxi+frsr6uvDL9ZONRPnX/Tu7fdpL33vcizxxomewliYiIiLxiZB3E1NfXDwYxf/3rX7nttttYu3YtH/vYx3jhhRfGfIEiIiIiklqP4w3cjFqThdO0JouE4n/RP1RIEhyAlgP2fWUzrI+ewgyun+EcmtEKB6yPqVqwyeTJrYbqK612ZJ4Ca15Q73FofhYan4CeQ1a7r5orrGqTSBBaN1utytJwtifbdLiVSCSDKhHDgNIV0RZ5/XDBO+y3H9sKR/42/HlGMSfGWb2zoKqA6uJ4SFpTnMs/XjxnyHP84KlDmT1eeUXrGghy96P2/3bf+/ThSVqNiIiIyCtP1kFMWVkZx48fB+Dhhx/mmmuuAawy53B4+D7OIiIiIjI2erMNYiIh641vSG5NFgtIXDngGuI8zS/HzwGAAeWzrDfVXe7hFz1RrckGK2I0I+a04/JE25FdDVWXQsEsMNxW9Unny9CwHjp2QfkaKJxn3af7AHQdSHm6ix1BTGd/kD31XZmtxZMfb1E2/1zILbXf/vyPh690GcWcmE3OtmQLKpOOee+VC5ldnj4cPdHen3QeEacfP3OEzn57+7wNB5o51dE/SSsSEREReWXJOoi59dZbectb3sK1115La2sr69atA2D79u0sXLhwmHuLiIiIyFhxVsQU+oYJQgbnw3iSQ5NQ9M04j33eRpKktmSzwJub2XwYSAhiJqg1mSpiTm++cig7D6athbJzrSoY04T+emh9HooWQ+ly69iuvdB3MukU00vzmFdpD/Yybk8GULjQet67gPPeYL/t8Caoe3zo+8fmxAQ6rDZnGQqEIrxwxB7eOKt7AMoLcrj/fZfw9defw6duWMqnbljK3Ar76+e3W45nfF155enoC/Cjp48k7TdN+MPWE5OwIhEREZFXnqyDmO985zu8//3vZ9myZaxfv57CQqsFRX19Pe973/vGfIEiIiIiklrPQJYVMYNtyVLMh4lVxAw3u6Vhl327Yr71MZP5MJFgQvuz8W5NphkxU4rLAwWzofoyqL7cCtCCXdCyCfJmQNEC67j27SlbgDmrYjYeymL2hcsNxcuszxetAW/Ca8A0Ycsvhm475im0ZuCYYWvNGdpxooP+oL2jgHPeTUxFoY/b1sziny9fwD9fvoB/vHiu7fa/7Wqgsy+Y8r4i/7vhcNIsopjfbj2u1nYiIiIiEyDrIMbr9fJv//Zv/Nd//RcrV64c3P/BD36Qd73rXWO6OBERERFJrzfgrIgZrjVZLJxIEcSEYkFMlhUxFdbswIwqYmLVMG5fZm3MRioSjFcmKIiZenJKoPISKzAMdkHLRiiYD3nTrO9r6+b4cynKWUmy+UgbwXDm1SnkTwdfBfgKYPlr7Lft3wANz6e/r2GMqD3ZxoP2qp1l04opK8isld7NK2fgdRuD24FQhAd2JFcLibT0+Pm/Z4+mvf14Wz/PqbWdiIiIyLjLYKIr/PnPf2bdunV4vV7+/Oc/D3nsTTfdNCYLExEREZGh9fjtf00/bBAzWBGTIpwIx1qTDVERY5rQ6KiIKZ1mfcwoiImGPeM+HyZgfUzVgk2mBm8hVF0CzRsh2A2tz0HFxdbzNNABLc9D1WXgtoILZyVJbyDMSyc6WT2nLPNrli6no24D/tmXU/PSAxCOPo8iIdjyM5hxOZAmKMkpg4FGq3KmcH5Gl3NW7TireoZSXpDD2mW1PLizfnDfb144nlQpI/K9Jw/ZKq9cBtQW53Kqc2Bw32+2HOeShcnziURERERk7GQUxNx88800NDRQXV3NzTffnPY4wzAIh8NpbxcRERGRsdPrn+DWZB3HwO9ovVQ2w6oI8BQOs1oS5sNMVFuyzKoL5DTlKbCHMV17oOICaH7Gei61vQCVF4PhorLQx5KaIvY1dg/efdOhlqyCmN/t6OTT9xsEwhX8ftqVrGl/JH7j3sfhsp1Qvjr1nX2xipj2jK7VHwizra7Dti/VfJih3Hb+LFsQs/tUF7tOdrJ8RklW55EzV0PnAD9/7pht362rZrK0toj/fPDlwX1/29XAf/QFKcn3TvQSRURERF4xMmpNFolEqK6uHvw83T+FMCIiIiITxxnEZN6aLEVFTChWETNEazLnfJjcUigot8IbI4MfK8Ox1mTDzKEZraEep0wtngIr/DAM6DsB/mYrjHF5reqT9u1WpRbJFSWbsmi39PzhVj7xx50Eor/OfKhhHWbiczo4AC/9Jl5t5eQttV4D4YF45dcQth5rJ5DQOs3tMrhgXnnG6wW4bGEl00vsoervthzP6hxyZvvLjlMEQvHnmcdl8IFXL+LWVTOTWtv9Wa3tRERERMZV1jNiREREROT00DPiihhH2BIJxd9gHiokcbYlq1pkvUGeSVsymLjWZLGKmFQt2GTq8ZVD0WLr846dVuBRviYazpyErn1AchCzra6DUAZzYpq6B3j/r7YRThhYftys4VjZBfYD96yHniOpT+JygzdaiZLBnBhnW7IVM0ooys2uGsHtMnj96pm2fX/afoqBoP44TiwHmrpt2zeeM41Z5fmUF+Rw7bIa222/UYgnIiIiMq6yCmIikQg//vGPufHGG1m+fDkrVqzgpptu4mc/+xmmaQ5/AhEREREZE6ZpZl8RE5sD42xNFtvv8lpzVdJp2GnfrpxnffRkGsTEWpONd0VMbEaMgpgzRtEi8FVYoWHbi1Y4U3qudVv3Aeg5ktSGrC8QZm9Dd4qTxYXCEd7/y200d/uTbvsjV9h3tB/HOPIomGnCnZzo9f3DBzHOap1s25LFvGHNLNt2Z3+QR/Y0juhccuapa7NXZ501rXjw89scz51dJ7vYc8rRelJERERExkzGQYxpmtx00028613v4uTJk6xYsYKzzz6bY8eO8fa3v51bbrllPNcpIiIiIgn6g2Eijr+DGT6ISVMRM1ipMkxA4gxiyqN/jZ9JRUwknHD9ca6IiWhGzBnHMKBspRUWBjqgay8UzLICGoCOXVQObGdehf25veXo0KHINx7Zx+YjqY/5SctyzOLptn2ul/9Onpmm5ZkvGqYEhm6JZpomL9fb3/C+aP7IgphZ5flcutB+32cPtKQ5Wl5pjrf127Znl8f/G/+qRVVMc7S2e+xlhXgiIiIi4yXjIOYnP/kJGzZs4LHHHmPbtm386le/4te//jU7duzg0Ucf5fHHH+dnP/tZVhffsGEDr33ta5k+fTqGYfCnP/3Jdrtpmnz+859n+vTp5OXlceWVV7J7927bMX6/n7vuuovKykoKCgq46aabOHHihO2Y9vZ27rjjDkpKSigpKeGOO+6go6Mjq7WKiIiInE6cbckACnzu9HcIB+J/ye9s2RWOBjHOgCbRQCd02Ic+UxJtbZNJEBO7hssL7nEOSNSa7MzkyYOy86zPuw9Z/0qWQvFSq13ZQBOrq+1vPG851p72dI/vbeQHTx1Oe3tXwE39DHtVjHF0MyXBNO3JYkFMsCf+HEyhvS/IQNBeVbOwujDt8cO5akm1bXvHiY4Rn0vOHP5QmFOdjiCmIh7EuF0G151da7v9aYV4IiIiIuMm4yDmV7/6FZ/61Ke46qqrkm67+uqr+cQnPsF9992X1cV7e3s599xz+e53v5vy9q9//et8+9vf5rvf/S4vvPACtbW1XHvttXR3x1sMfPCDH+T+++/n17/+Nc888ww9PT3ceOONhMPx3shvectb2L59Ow8//DAPP/ww27dv54477shqrSIiIiKnk15/8hyIIWfERGLVKD7rTetEgy3LhpoPY/9jGFxeK4gxDPBk8CbyRLUlg4SKGAUxZ5y8WiiOzovp3GOFMcWLoPoK8JWzptYecGw90gyBdkjRRvk76w/Ytr1ug8pCe0j4sPtV4I7PbjHCIWrbtoE/RdWLywveaOsnf/o3tE912N8cdxlQXTTy5+p5s0pt2/sbu5PaFsorz8n2/qSn/axy+39/L19cadt+sa49ZcgvIiIiIqOXcRDz0ksvcf3116e9fd26dezYsSOri69bt47//M//5NZbb026zTRN7r77bj796U9z6623snz5cn7605/S19fHL3/5SwA6Ozv50Y9+xLe+9S2uueYaVq5cyS9+8Qt27tzJo48+CsDLL7/Mww8/zA9/+EMuvvhiLr74Yu69917++te/sm/fvqzWKyIiInK6cL7R6nEZ+DxD/GgXSjMfBjJrTeZsS1axANwe8BQkBzupxCpiPOPclgwSHs8QFT4ydRUvSQ5jvIVQeQlrliyyHVrfHeLkoWegYT107LQCFNPkeFsfO0922o799xuXccOKabZ9TzSWwNwLbPuq23ZBb7qqmOgb26mCmqiTjiCmtjgXjzur0Z02Z08vwe0yBrcjJuxyPDZ55XHOhynL91Kc67Xtu3BeBV53/LkTipg8f3jo1noiIiIiMjLDNBKPa2tro6amJu3tNTU1tLenL/3P1pEjR2hoaGDt2rWD+3w+H1dccQUbN27k3e9+N1u3biUYDNqOmT59OsuXL2fjxo1cd911bNq0iZKSEi688MLBYy666CJKSkrYuHEjS5YsSXl9v9+P3x9vKdDVZfVxDgaDBIPBMXucU13sa6GvicjpR69PkalhpK/Vjt4B23aBz00oNMRfMvu7McIhML2YjmsZ/m4IhzBND6RZh/vUDttf8EQq5xMJh8Cbl3S+lAY6MMIhTNOb9hpjwoxgBHoBEzMyzteSyZM3H0JBjO4D0PYS5kAb+KqYVV1DaV4dHf3x7/vmUwavze+FwEHoPAjuXP62197OqyzfyxtWTuOxvc38bFO8Bd8L9QYDqy4n99Cz8UsHOgkcfIxgyYrk9nfuYut11teAWXhWyqWfaOu1bU8ryR3V/6s9BiypKWRPfbxrwIvH2lg1q3iIe8mZ7mhzt217Vlle0vMsx2VVVL1wNP57/JP7mrh8YfmErHEi6edikalDr1eRqUGv1bhMvwYZBzHhcBiPJ/3hbvcwv/xnqaGhASAp/KmpqeHYsWODx+Tk5FBWVpZ0TOz+DQ0NVFfbf9ECqK6uHjwmla985St84QtfSNr/yCOPkJ8/AS01ppj169dP9hJEJA29PkWmhmxfqztaDSA+E8YdCfLQQw+lPb4wcoKCyCn6XNV0u5pst1WFtuEiSKt7gJCR+uecyw9sJPEnrsMdIVq2bKHHNYNe1/ADnsvC+8gxO+lytdLvSlNNMAbcpp/K8A7ARaPbsFqnyRmrMFJPQeQksGVw37ycZWzrLx3cfmBHL3ldvfjMTnLNDgxC3L/3bKBk8JhFBX4e+fvD9AbBwI2J9bwZCMGv9prc5qukIKHdWPfzf2RbUwW9rum29RhmiOrwiwA0uzuJGMnzkJ496iKxMYHZ2zbkazcTpRH7Of++ZS/Tu/aM6pwytT3leJ65BzpSPs+qw/b/lzyy4xhrjPSzk6Y6/VwsMnXo9SoyNei1Cn19fcMfRBZBjGmavP3tb8fnS92/OLF6ZCwZjl+eTdNM2ufkPCbV8cOd55Of/CQf/vCHB7e7urqYNWsWa9eupbhYf10WEwwGWb9+Pddeey1er3f4O4jIhNHrU2RqGOlrte35Oti/d3B7TnUpN9xwYfo7dGzH6DuBWbQEihLaN0VCGA3WXA2z9jprzoVTJITnpTttu+atupS51XMwy9dAbm3yfRyMRh+E+zErLo4PNR8P/haMVi94CjCrk2cbyhlooAn8zRjBDgh28moXbHs+fnNjJJ9r1hRgFl4K+bNpbT7Avi11tlP807WrePVZ1h9v/fzEJl5uiFcTtBcvJ7f2enj+F4P7yruPcuXySsw565LCPqO5DIKdmGUrIW9G0nL//psdUB8PL1efNZ8brls8mq8AvVtPsvFP8TlOzeF8brjh8lGdU6a2v/5yO9THQ/cLz17ADdcuSjpuxolOHvxB/AXT2G+w8tKrmVaSoo3lFKafi0WmDr1eRaYGvVbjYp20hpNxEPO2t71t2GP+8R//MdPTDau21vqFvqGhgWnT4r2am5qaBqtkamtrCQQCtLe326pimpqauOSSSwaPaWxM/ivN5ubmIVut+Xy+lKGT1+t9xT+5UtHXReT0pdenyNSQ7Wu1pdde/lxbkjf0/Y2wNdMltxgSjwsOWPtdXvClqfptOgRh+x/duMtrrfvlVYBnmHVHQkAweny5bfj5mAuErOv4HI9TzlzeGVAUDTzMCBcMnIDn4zON9rW6GAhGKOzdD/6TbKirJmLGw5M8j8mVc8zB18+lCyttQcxzDbl8eN3lsPV3ELJeB4YZxnPwCZh1BeQ6qu/za6CnF8Kd4J2btNz6LvtraVZFwaj/P716rj3cPNkxQMdAhKqi1H9EJ2e+Ex329pVzKwtTPs9WzqmgJM9LZ0I7v+eOdnDbmlnjvsbJoJ+LRaYOvV5Fpga9Vsn48WccxPzf//3fiBczEvPmzaO2tpb169ezcuVKAAKBAE899RRf+9rXAFi9ejVer5f169dz2223AVBfX8+uXbv4+te/DsDFF19MZ2cnmzdv5oILrEGbzz//PJ2dnYNhjYiIiMhU0+h4M7emeJi/Xg5HB4S7clPvdw8x2L5xl327qBZ8BeDyDH2/mFBP9Bo+cCe3ahpTmTweOXMZLs6ZNwOvexfBsAlYw+u39c7nVXknIdTLIy8dBeJBzBWzIbdnjSCuqwABAABJREFUO/hyILeaSxZW8MNn4u3ztp0K0m/kkzf3fDj4TPxa+5+CNUeSgxhfJfQcBn/qoef1jjfIp5WM/rm6sLqQ/Bw3fYHw4L4dxzu4Zln6PzyTM5dpmhxvs7fImF2eOmh3uwwuXVjBQzvjbbufPtByxgYxIiIiIpPFNfwh46enp4ft27ezfft2AI4cOcL27dupq6vDMAw++MEP8uUvf5n777+fXbt28fa3v538/Hze8pa3AFBSUsI73/lOPvKRj/DYY4+xbds2br/9dlasWME111wDwFlnncX111/PnXfeyXPPPcdzzz3HnXfeyY033siSJUsm66GLiIiIjEpjl/3N3OGDmOjxHsebvqHom3WeIWbgNTlmTVQutD56izObwRKMVhd4ioY/drTC0cfj1ky/V6pcr5vlM0ps+7Y0eKHmanp989hw3H78dWeVgmlC6wvgb+X8ueW4XfHndTBssqWlABa/yn7H9hNw8nkI9dv3+8qt10WoN/66GzxXhMZu+77ppaNvAeV2GaxwPOYdJzpGfV6Zmtr7gvT47fNbZ6UJYgAuW1hl2372YAuRiDkuaxMRERF5pZrUIGbLli2sXLlysOLlwx/+MCtXruSzn/0sAB/72Mf44Ac/yPve9z7WrFnDyZMneeSRRygqiv8S/53vfIebb76Z2267jUsvvZT8/Hz+8pe/4HbHBw7ed999rFixgrVr17J27VrOOeccfv7zn0/sgxUREREZQ8lBzBAtiCKhaHswUlTEZBBcNL1s3y6fY33MNFgJRYMY7wQEMbE3xZ2Bk7yirJlTZtveeqwdXB42NFQQCMdDFo8Lrl61GnJrwIxA62aKXL2cM9MeamysL4BpZ2EW2t+wZt+T0HvMvs/ltUJKSKqKaegcwHS8vz2jdGyeq+fNLrVtbz/eMSbnlamnzlEN43EZQ858edWiStt2W2+APfWZ9ToXERERkcxk3JpsPFx55ZWYzt9EEhiGwec//3k+//nPpz0mNzeXe+65h3vuuSftMeXl5fziF79Ie7uIiIjIVJNVa7LBtmRecLlT3zZUcNG4275dNt36GHuzeTjB6Bt6ExHEDAZLCmJeyVbPKefepxPai9W1EwpH+PvuBttxF80wKenfCeWrohUxLdDyHJfMm8m2uo7B4zYdD8KaHCKLLsO97f74CQ5tgq4DULwYjIS/cfNVQqDTOl/+jMHd9Z32ADU/x01J3tj01D5vZqlte8fxDkzTxMikak3OKM4gZkZZHh53+r/BnFWez9yKfI62xu/39IGWpMoyERERERm5Sa2IEREREZHsDQTDtsHKMFwQE33zN1U4ERqmIsbfAx2Ov/gviVYFZBzETFBrMtNMeKxqTfZKttpREdMbCPPgznoe29tk23/dfAMGGqF9O5SvgZxSiAS5pKrZdtxLJzppidRiLrwU25+RBfrg8EbrHIlyKqyPjoqYUx32NmbTSnLHLCg5d1apbbtrIGR7Y11eOTKdD5PoVYvs1V7PHGxOc6SIiIiIjISCGBEREZEpxtmWDIZpTTY4wD5FWDPcjJjmvfZtwwVF0TY2mQQxkWA8HBnvipiI32ovZRipH6u8YlQV+ZhbYX9Of+DX2+kesM/NuHb1Sus53V8PXS9bYYzLy+rKHvK88YAkYsKDR3KhsJLOQscQ830boOeofV/inJiEGTInHUHM9DFqSwZWqFNVZP/vwA61J3tFOtbaa9vOJIi5zNGe7IWj7fQHwmO6LhEREZFXMgUxIiIiIlOMsy1ZQY6botwh2hsNVok4wolIGCKB6G1p3hBOaks2Fzw5VnDjyqDLbagnfm3X2LRgSn+tWHVPrvUmuLyirZ5TPuTt584qpbZ6utWWDKxZL311ULaSXA+snRexHX//S23gLaa57Cz7iU7thpa9VugS4/KCN9rWKRCvinFWxIzVfBiw2jqf62hPpjkxr0zO1mSZBDEXL6jA7Yr/dzMQirDpcMuYr01ERETklUpBjIiIiMgU0+CoiBmyLRmkb01mmx2TJiRpetm+XTnf+phtW7IJmQ8Tq/xRWzKB16+eOeTt65bXWp/kTYOyc6zPu/Zbc4aKFnDzEvssy+3HOzjSX0Vb8XzMnIKEW0w48HSKqphohcFAvMWTc0bMtJKxnWV03iz7TI8dJzrG9PwyNRxvswd+mQQxxbleVs+2t/Rbv6cxzdEiIiIiki0FMSIiIiJTTJMjiKkeqi0ZpG9Nlslg+yZnRUy0LdPpNh8GEipixvbNbZmaLl5QwffeuoqrllQxv7KAnIRh5cumFXP7RXPiBxfMgeKl1ucduyCnklctKKUizx7G/Hm/genyYs6/0H6x/RusippIQisnX3Tmhr/Zml9EckXM9NKxbaHnnBOz+1QXgVAk9cFyRgqEIpzqtD/PZmUQxABcs6zatv3oy01EImaao0VEREQkGxn0kxARERGR00mD46/qazOuiHEcN9x8GEiuiCmdZn3MNIgJTUZFjIIYsaxbMY11K6znbCRi0tg9QF8gzJzyfDxux9+kFS+ywsneOujYgaf8Al67+Fl+siP+RvQDO5tZs6CEyMLLcO19PH7fnmY4udOqrMmPVuL4ysFwQ9gPwS7IKUmaETOWrckAznG0JguEIuxt6EraL2eukx39sdxv0OyKzIKYa5fV8uWH4nPBmrv9bD/RwSpHpYyIiIiIZE8VMSIiIiJTTGO3fUbM8K3J0gQUwwUXPc3Q22zfVxJtt3Q6tyYbKliSVyyXy2BaSR4LqgqTQ5iYkuXgLbTCy5793LJmvu3murZ+9vTWQuU8KJ9tv+/+p+ztyQxXvD2Zv5nugSDdAyHbXaaPcRBTkudlflWBbd/mI21jeg05vTnnw5TmeykeaoZYgnmVBSyqLrTte2S32pOJiIiIjAUFMSIiIiJTTGNSa7IhgphIGCJB6/N0rcnSBRfOtmSeXCistP7KP5M5LJFgvBpnIlqTZdJqTWQoLjeUrbJClP4GzqnNZX6Z/Vemja0l1kylRa+y3/fIZug5aVW/xORGWz0NNCXNhwGoLRnb1mQAF8wtt21vOKCB668kziAmk/kwia5dVmPbXr+nYdRrEhEREREFMSIiIiJTjjOIGbI1WSR6rOG23jxONNxMFWdbsooF4HJZ1S2GMfxCB+fD5IFrAjrihlQRI2Mgp2RwXozRtYebz7W/Mf1iq4tATi0svNQKbmLCQTj8nL0qJjc6JybQxsm2Htt5KgtzyPW6GWuXL66ybT9/uJWBYDjN0XKmOe4IYjKdDxPjDGIONfdyuLknzdEiIiIikikFMSIiIiJTiGmaSUFMTbEv/R3SzYeBhCAmzRt1jY6KmIq51sds58NMSDVMAMzom82qiJHRKpxvtRUzw7xufpftpt6QwdP1RZBXDLNX2e+37ynoOxGvQvMUWP9Mk1Mt9sqUsW5LFnPpwkrcrnhQ6g9FeO5w67hcS04/da2jq4g5d2Yp1UX2/6es36P2ZCIiIiKjpSBGREREZArpGggxEIzY9g05IybdHJhICCIB6/O0rckcFTFl0SHkp+V8mFio5LPaSomMhmFA+UpweZmT382qGfbXzwO7e6zXzeLL7fdrPgRtddB7LL4vWhVT395hO3TaOLQlA2tOzMpZpbZ9T+1vTn2wnHFG25rM5TJ49VnO9mQKYkRERERGS7+lioiIiEwhzmoYgOqRVMTEAhqXN7llGUAkkhzElEZbHmUbxExIRUwscFJbMhkj7tzBFmW3LLK/7p7Y10y/dzrMPAfy7TNZ2P8U9B4F07S2fdacmFPt9vZO41URA3CFoz2ZgphXBtM0k1qTZRvEAKx1tCfbWtdOS49/VGsTEREReaVTECMiIiIyhTiDmLJ8Lz7PEHMmBoMYx5u+sbZk6aphOusg2GvfVxx9cy7b1mQTUhETmw+jtmQyhgrmgLeY1ywIk9Dti/5ghKdO5lkzYhZeYr/PwWch0A0D0SHnvgowXJzstM9pmTGeQcwSexBzuLk36Q16OfN09AXp9ods+0YSxFy8oIL8nPj/V0wTHn+5adTrExEREXklUxAjIiIiMoU0dtn/KnnItmSQUCnirIiJhixp58PssW/nlkJ+qXWeVBU0SdcNQDi61omoiBlu3o3ISBgGlK6gPA8unG7abvr7rkbwlSe3J+vvhOM7oOewte3yQE459Y555+NZEbN8egnlBTm2faqKOfMdc4RtHpcxohZ4uV53UlXVI2pPJiIiIjIqCmJEREREphBnRczwQUya1mShWAVJuvkwu+3blQusN6WzrYbx5FtVA+Mt3SwckdHylUP+TNYtsAcxj+5rIZAzDUqnQ80S+332PgH+Ngh0AhDxVSUFMeM1IwasOR+vWlRp26cg5sznrHqaUZaHxz2yX/mvdbQne/pAM72OahsRERERyZyCGBEREZEpJDmIGWI+DKQPKMLDVJA458NUzLE+no7zYSChIkZBjIyDkrNYu9AeKHb7YePRXjBcsPhV9uOP74Du5sGqmJZQKcGIYTtkPFuTQfKcmI0HWwiEIuN6TZlczv8/jCbsu3ppNe6Efnz+UITH9qo9mYiIiMhIKYgRERERmUKyqogxI/H2YEkVMcPMiHG2Jiudbn3MdN7LRM6HgYQZMWpNJuPAnUvttCWsrLEHGX/feQJyq2H+RZBTmHCLCXsfh/5TEPZzssce4njdBpWFw4Soo/SqRfYgpjcQ5sW69nG9pkyulp6AbbuqaORBTGl+DpcutFdV/WXHqRGfT0REROSVTkGMiIiIyBTSkM2MmFgIY7jAZZ8XQWiIGTGhALQesO8rqbY+ZlrhEm3JlHEFzWhEQhAJWp+rIkbGS+E8rlvose165FCYcCgM3tzkqph9T0HID71Hqe+0B6i1Jbm4XPYKmbFWVeRj+Qz760/tyc5szd32/z9UFuakOTIzN54zzbb91L5mOvuDozqniIiIyCuVghgRERGRKaQpm4qYwbZkudZ8l8H9ATDD1uepKkhaD1rhRqLSWuscnsLk451ME4LRICandPjjRyvWZs3ltQaji4wHw8W15y6y7WrtN3jhWCtgwJIr7ccPdMGRF6DnCKfae203TS+ZmMDQ2Z7sqX0KYs5kLT32IKaqaHRVV9edXYvXHf9/RyAc4ZHdDaM6p4iIiMgrlYIYERERkSkiEjFp6nZWxAzxRls4Gto425INzofJtaplnFr22beLaiAn36qecbmTj3cKdVtt0Vye9DNoxlJIbclkYsyeNofZ+f22fQ8fNMEMQdkMmHme/Q57H4dIkJMt9tkaM4on5tewKxZX27b31Hclhbly5nBWxFSNsv1dSZ436Tn015fqR3VOERERkVcqBTEiIiIiU0RLr59wxLTtqx2qIiYSC2Icf30/3HyY5v327fK51sdM24wFOqLHl9grccbLYLCktmQy/s4ptz+n/34YIiG/FXwuudx+cMNeaK2jvrXDtnt6wcS0d1o5u5Qin71KbNPh1gm5tkw8Z0VM5SgrYgBee669PdkzB1to6w2kOVpERERE0lEQIyIiIjJFNDnmw7gMqBjqL55DCa3JEg0GF+mCmL327bKZ1kdvhvNhJrItGSS0YFNFjIy/5RX2YKO+x+CltnwItMGcVVBgH3DOvic51hmx7ZqWa29VNl68bhfnzyu37XvhaNuEXFsmVjhi0uoISEZbEQNwzVk15HrjbxuEIyZ/26WqGBEREZFsKYgRERERmSIaHAO/q4p8uIca+J2uUiQUfRM4XUVMi6Miprg2enyGQUwgGsR4SzI7frSGezwiY6g2D+ZX2F9TfztkAIYVCp51re0288DTNLT12fYtKAnEK8fG2QWOIGbzEQUxZ6L2vkBSxeRoZ8QAFPg8vHppjW3fX3acGvV5RURERF5pFMSIiIiITBGN3fYgZsi2ZJC+UmSoCpJIGFoO2PeVRP/CP5OKGDMy8RUxwW7rY6ZBkcgoGAasPbvWtm/9EQ/4KqHvOCy8CIz4LCUj2M/rjKdtxy+rBPonpqrAGcTsb+xRa6kzkLMtmWFAeUHOmJzb2Z7s+SNtNGrWkIiIiEhWFMSIiIiITBGNjtZk1cMFMYOzYLKYEdN+FML261BcA4YLPAXDLzLUY4UxLu/EtAqLhOMVMZnOsBEZpWvPsg8wP9we5khPrvW89wLzL7Xd/g73w7iw2pPNLsuh2MeEBTHLp5eQ53Xb9qk92Zmnudv+3+2y/By87rH5df/KJdUUJswaMk148CW1JxMRERHJhoIYERERkSmisTOLiphICCLRgeCJgYhpDj0jpnmffTuvDPKKwVNohTHDibVb8pZYf5I93kLRahi3D9xj89ffIsNZPr2YSsf8jcdPFENutVUVc9YVttvmuJpY69oCwNm1+dZrKdQLwa5xX2uOx8XK2aW2fS+oPdkZx1kRMxbzYWJyvW7WLrO3J3tg+8kxO7+IiIjIK4GCGBEREZEpwtmarKZ4iDfaYu3HXF5wJQwXDw9YYYzhAneKIKfFEcSUz7U+ZtKWDBLakk3QfJjYG9lqSyYTyOUyuHpplW3f4wd7IbcGDKAoH2rOtt3+z56/AnB2eR/4ovedpPZkm1URc8ZxVsRUFo1tMP3ac6fbtnec6FRllYiIiEgWFMSIiIiITBFZtSaLtR9zO9qShRP2p6pYcVbElM20PmYadAxWxJRmdvxoxebDqC2ZTLCrHQPMN58I0m1UWiHLQAMsv852+yrXQVYZ+1lWNhB/7U1SELPrZCc9/tCEXFsmRkuPfe7PWFbEAFy2qJLpJfb/53z/yUNjeg0RERGRM5mCGBEREZEpwjkcecjWZLGKGOccmKHmw0ByEFMSfbM5k4oYMxKvUJmoiphYa7JMK3ZExshliyrJSZjBEYwYPHOgCYoWWzvK8wkV2qsI7vQ8yNmVgL8NMK0gMRYmjqOVs8rwuuPBa8SErcfax/26MnGSKmLGOIjxul2861Xzbfse29vEvobxf/6KiIiInAkUxIiIiIhMAf5QmLZe+1881wwZxKSZAzPUfBjThJb99n3FldbHTCpOQj1WGOPygqdg+OPHQiz4URAjE6zQ5+HC+fZKk8cOBa35SDmlEOpi37S1ttuvc2+h2myDSMB6vQH0HBn3tebluFkxwx6Oak7MmSVpRkxRhkFMz2Fo2gADzcMe+qYLZlGa77Xt+8FTqooRERERyYSCGBEREZEpwPnXzpDhjBiPozVZqDe6P0UQ03USAj32faXTwHAntzhLZbAt2QRVw4QDEI5+XTQjRibBq5dW27afOAaR/gYoXgrA+vBZdJnx144LE2P/RmsjEgAzDH0nIBIc97VeMK/Ctr1ZQcwZZUQVMQPN0LEbAp3Q8hx07o0HhCnk53h428Vzbfse2HGKE+19I1myiIiIyCuKghgRERGRKcDZlszncVGS501zNAkzYpwVMf2p90NyW7KcAsgvt6pNUs2TcYoFMRPdlsyTDy7PxFxTJIFzTkxrv8GOhoj1+nLnsa29iF+Fr7bfadefIRQGd67VlswMQ++xcV/rhY45MduPdzAQDI/7dWViZF0REw5A+3borYOuvVYg2LkHWjZBeCDt3d52yVzyvO74aSImP3x6/Ku6RERERKY6BTEiIiIiU0Bjl/1NtpriXIyhwpHBwMVZETPEjBhnEFM+1wpgMm37Fey0PnpLMzt+tAbbkmXQNk1kHMyuyGdRdaFt3+PHXFZIWDiP3e35/CR0PUEz/sY1wT7Y+0x0I2JVdfUeHbISYSysnltmy1MD4Qgvnegc12vKxAiFI7Q6WlcOWxHTsQO6D0KwA4oWWf+v6NwJbVuh/pF4taFDeUEOb7pglm3fr1+oo7Un9fFphQfg+P1w4PvQ+TJE7KFgKBzhaEtvUktOERERkalKQYyIiIjIFOCsiBmyLVkknNCyK9+xP3qeVBUxLY4gpnSG9TGToMOMxIORiaqIiQ05V1symURXn2VvT/ZYnfXabOrPp2Ugh3oq+EvkYvudtt4HYcOaJdNXB8Fe6K8f13UW53pZNs3+Wt58pHVcrykTo60vkJTjDVkR03sM2rZbz7nCBVYQU7QAis+yAvW2rdC2Le3d3/Wq+Xhc8VRvIBjh/549mvmC+07B4Z9A24vQdxLqfkfw2J/4y+aX+Mz9O7n5v5/l7M/9nSu/+SQXffkxfr/1RObnFhERETlNKYgRERERmQIakoKY3PQHx6phXB5weVPvd+ck389ZEVNaa33MJOgIdlthjMsLnoLhjx8LgxUxCmJk8rza0Z5sT6Ofen8Ru1vjv2rdE7qFkJnwq1ewD3Y/AS6fNcep/yT0jn97p/Pn2tuTPa85MWcE53wYl2FVrqQU7IHGp6wAMH8m9Lvh8FYoOAtqrobSc63/ljc+bh2bwozSPG46b7pt3/8+fZijLb1DLzQStgKeut9aAYynAIoXAwYfebiHu/54nF88X8f24x34QxHAqtz64l/3EIhui4iIiExVCmJEREREpoCmFK3J0krXliycZm4MWG2Rmvfa9xVXWR8zCToG25JNUDUMxGfEqDWZTKJVs0uT5jX9/WQNu1viFQNHzGk85bvcfsetPwN3NfhqoL+B/8/efcc5VleNH//ctMn0XrfM9t4LbIFl6b1IURAUu4gd/aE+FlBRfOztEVFQKSKK9M7Sti/L9t77Tq+Zln5/f5xkMjfTd2dmZ9nzfr3ymsk333tvMkluMvfccw4NB2N9lvpJfJ+Y9YdrCYT0APfprqrRWr4rKzkBu62T0pXV70lJMkcq7NkC//4MvPBl+MMsKNkGRZdBQrZ8jpS83Ok2v3DeaNpuwh8M8/3nt2F2VWKvag2UvQ2+akgqghG3QvFH2cBFvHA4p9PF6lsCvH9Ig4ZKKaWUOr1pIEYppZRS6jTQq9JknQVcuuoP01QFLbXWsfRCyXCxdxH0ifJHlnVldD+3LwRbIBwEwzZwGThKdcBht7F4fK5l7FdvH+Hto9b3zeb8SyUbLSrkh/f+AWljISELGvdDfVwwtI/NjQvENPtDrDtU28lsdbqIz4jJSekkG8YMS0aKGYZ9u+D9x2K3eevhsethw2NQdBVgQN128OzucFVj81O5fcEIy9jyvVW8vLWTEntNR6HmfQnap0+EoddD8jCw2fm/9Y6Ol2njzZ3l3c5RSimllBrMNBCjlFJKKXUa6FVpsmAkI8bRi4yY+P4wdhek5oEjpf3cjvgjZyu7srqe11eiZckcyRKMUeoUum7mEMv1Bm+QDcetB8eHZJkwYbF1wY2PQyhRenSYQahcJtkx/SQnJYHJRdYMsjd29N/21MCoarS+1jrtDxPNutr5Hmx8uv3tZghe+jqsfAjSJgEmlL0Z29/Guevice1OCvjRizvweAPWiSEf1KyLZMIMhYJLIFFK+m0vqeetXRWW6TeOqubGCdZMrTd3lnedbaOUUkopNcjpf61KKaWUUqeB3pUm6ywjJlK/v6OMmPiyZJnDwWbrWVmykD/WS8CV2f38vqBlydQgsnhcLtfG9cyINznLCxMXgaNNtoIZgqU/h/zF4M6VXksH/g6Nh/rtvl48ydrTZskOPcB9uovPiMlN6SQQU7sRdqyG3Wu7XuF7D8B7z4MjDVrKoXKV9HeJk+p2cu/Vky1jFQ0+vvP0Vv7vnX1855ktfPOpzfxn+VqCDUfkMylzBrhzoHo/vPxNAv+8lXNsW1uXz3TDj+bX8qmJVZb1Hq1pYW9Fxz1rlFJKKaVOBxqIUUoppZQa5Bp9QRp9QcvYCfWIaS1N1kEpr8o91utZwyJze5AREy1L5kyRTJqB0JoR04NAkVL9zDAM7rtuCsXZHQQ5AYdhMjatERxhmHix9cYt/4GjG2DEbZJRFmyGI/+F6nXyex8HSeIDMcdqW9hV1tCn21ADq0cZMeEA7HgB9qyLu8GA8Ve2n7/rFajzSzk9zx6o39bhti+bUsD5caX5Xt5ayi9e382/1h7lv+uPcfdrHq54voiVdWMhZTSs/D08sADe/yszmpbzuOt+vmJ/BjD59Lw8kjKKmZhcSVGK9bW/ZIeWJ1NKKaXU6UsDMUoppZRSg1x8fxjopkdMZ71gWjNiOgjExJcmSy+Qnz3JiBnosmQgmQOgGTFq0Eh1O/njLbNw2ts3SR+bbZBgC0HYC1MuAGfbQKoJz34ewgaM/qSUbgp4oGY9lL0FJa9A+btQ/T7UboLaLVC3Dep3QvPxWCnCHppUmMaQDGuQVg9wn97a94jp4PPBswf2rIkbNODq38EtT8B1fwa703rz2icgcTj4qqBhD7S07/9iGAY/unYKCY6uDy3sqU/ihy9XcfA3l8OS70PQ+rl2l/O/POD+Pz6+YCy40jFSR3LRsCbLnLe0T4xSSimlTmMaiFFKKaWUGuTiAzGpbgdJrk6aG5thCEXmt82ICXmlDJJhtM+UAaiMC8Sk5cnPHmXERAMxA1SWzAxDMFKipieBIqUGyNSh6Xz78ontxicPy4OEbAmS2oFZ11sneI5Lbw5nOhRdDumTIFAnAUczLD9byqThedNhaDwIDfugZoP08Ch7U5qweyu6zaAxDKPD8mTq9NWjjJjDb0Bt3PN82U9h9u3y+4xb4EMPWm+vPwb7N0NiITSXQO3mDgN/w7KS+MqFY7u8j/NsO3jR9T1G+nZ3OudyVpH25HVgZIHdzYXF1kzQjUfr2j1WpZRSSqnThQZilFJKKaUGufhATI/Kkhk2sLc5GBfNkrEntm9u762HhrgznTMKwbB3HLRpywxL82cYuIyYYJNs1+bo/v4pNcA+tXAEF07Is4wtmjAE8s4FDGg8AlMuhqJJ1gW3Pwubn4Tk4ZA+QZqlO1PBnQeZ0yFjKqRPhLTxkDoWUkaAK0OCq8EWaD4GVe9B+dvg2SsN0jsRH4jZerye0vreZdaoXvBWwtHnoGKFBNTMcLeL9Ea3GTG+GtjztnUsMQPmftY6Nvl6GHaWdWz9v8FMkmB+sEH6zHQQ7LvjvNF89tyRFKa7GZ6VxDkjk7llksmkLD8uAvzc8SAJRsCyTNg0CJlxGWQlG+G/d4AjlXkj00h2xrZlmvD2ropO/w5KKaWUUoOZBmKUUkoppQa5co/1IFtBV4GY6NnKvSlLFt8fxrBDWoH0fDHal1myCNRHgiIumT8QomXJHKnd3z+lBphhGPzm5hlcPb2IonQ3n1gwgiunFkLmTEgdDYYpmS2LvwAJce/HV74JNQcgfSq4I8ESb4WUIgt5IWkYpI2TQE3GVAnuFF4GOfMgZSTYnBJ09eySLJnaTRBo3+D8rJFZpLmtWXVvalZM/2g6Aof/LaXmSpfAseeh9PXIc3ry2R2BUJjaZmuAo11GTMNeOLzFOjblhvalyAwDLv850Ga/6m+Cza9CyigJIvmqZX1x7DaD7145idXfuZBlX53G41c1cv9iPy9eV8uT415nuK3SMn9/uJCb/D/gU4G78ZhxAfWKHbB7FQl2WDTMGrTS16lSSimlTlcaiFFKKaWUGuTiM2LyuuoPE2qT+dJWb/rDZAwFu0MCHd3xRcqSJQxkfxiP/NSyZGqQSnM7+cMtM1n1nQu595rJ2G2GHOQuuhrsLum5kZQO58ZlJPgb4fEboGwr5JwFuQuk5J8ZkoPfpW9A5UopSxYNsNgc4M6FjClQcDFkzogsE5aAT/k7UL0ulrkGOO02zo/L2nlDD3D3LdOE+h3S46d2NxxcB55K8JZJUKZmI1SthnCg+3V1obrR327MEogJ+eHgEmiss06adnPHKyyaCZOvto7teA3qyqVUZagFPLuhbnvHZfBCXnl8pgmY2G1uZpU9b5myLjyOK/z3s94cz9LwdD5m3Ecofbh1PSv+CEGDC0dag+3L91biDYQ6vu9KKaWUUoOYBmKUUkoppQa5EypNZo/LiAl1lRGzy3o9K3JAbDD2hwHw10a2mTFw21SqL7izIDdSoqxhP0y4AsYtts6pOQAPXwxrHpByf3nnQPbc2OvdVwP1OyXAUrnaEmDBZofkYbJM3jmQWCDjLaVQsRyq1oC3CmhfnmzNgWo83pMLCqgI05RgROUq2PkyvPkEbFoFb/0T1r0BRqr0+fHsjgQtTrxUWXxZMrvNICOxTaZLyzHYt9y6UFoRDJ3b+Uov+Qk42gb8TXj/v+DKluxHgMYDUP2eNZAU8snjCflkns0Jm56XrJo2Rt/8E35xmZtbp5hcP97kx9cUYL/uN1gycQJNsPY/nD8CbG2GWwJhVu+zZtcopZRSSp0OOunyqpRSSimlBovelSbrJiMmPkAD7UuTpUcO3vYk46Q1KDJAGTGmKU3MYWCDP0r1lazZchC78SA0HoLFd0HZLvCUxeaE/PDat2HfWzD1Jhg6B3LPgbAPvOWRElFVcqlYLs3U0yZYywO6MiWAE2iQDJqW49KrxFsJrgzOGz4Kp90gEJKshkDI5N9rj3L2KHkvF6S5yetqX6M613wUqtbBqr/C4X3W2w5vg6rjcPa1QBASsmV/nTn9hDYV37w+J8WFrW3kwrMfDm+1LjT2HOn1EmVPhNQxEjgBSB8Ocz4Ka/4em3NsIxzZAMWz5bXWsFdeSxXLJSPSVxP7nLE5JOhfeQR2vGnd9oTLycwIcU1akGsmZUgZzeYSMPww4yOw6cnY3B3Pkz1+IbMKhrCuNPaY3tyym/MnFvTyL6WUUkopdWppIEYppZRSapBrnxHTVWmyznrERAI0PcmIScuNzO0mIybYJGc+G7aBy04JNkE4KH1selI6TanBxpkKGdPkPdlSIu/Vq38Ib/wvVB6wzt23RC4AiZmQOxHSh0DaEEjNh/RMSEmSjBdvGaSMkR4yhs26vayZEBwvAaCmw+CvI9W/gflDnSw7HCvz9JNXdlo2n5OSwJQhaUwpSueKqYVMKkrrr7/KB4cZhsNvwGv3g6eu4zlNtfD2IzBxPkxNB1uCBMnTxvZ6c/EZMTkpbT4f/LVwcBl4rRkpjJgJzcetY/46yDk79to555uw9XloqonNWfsfGDpdguF550D1WtknB9us35kGiUXSp+j9f8v+OsrmhGkXQtAr5fRy5sn2wgEJ6ky9EHa9Al5PbJkVf+PiEd9hXWksy2fZ/gYJ3iQV9fwPpZRSSil1imkgRimllFJqEDNNk4q4jJguz1LvqEdMyB8rHxOfEeNvhroj1rGMQjk41lHQpq1ofxhXhvXAb39qzcBJl54bSp2O0sZJ8KSlBIKNkJgC19wH6/4Nm5/veJmWWjiyqv14Sj4Uz4GhE6HID75KyJrV/v3rSJI+MqljJRun6SAXjwiw7HDn792qRh/v7q7k3d2V/PGdffz9k3M5f3xep/MVULcXXv4RNNV3M9GEnavAmQQz8iRw4UyR7KZeqIzLiLH0h2k6CvtWWhfIyIfskZA2PnI3wpLd4quC2k3y2gFIGQpnfxze/m1s2frjsPNNmHKZZFzlnguN+wGbZMW4MsFwQOVyKNsNh963bnv8fAgcgUaP7L9LX5OAeuZMCG+ROXNughUPt3mAu7hmyEruZ3Hr0FGPQcXxTeSNTO/+c0oppZRSapDQHjFKKaWUUoNYbXMAf8jaP6DT0mSmKY2SwZoRE+0PY3dLD4m2qvcCcQ2X0wvl4FZ3gY5T0R8mWpbMmTFw21SqrznTIGmIZA4YkXPjjDDM+zhc8X1w9yLbq7Ectr8Mr/8SnvyalMM68Cw0Hel4vj0B0idA/oVcOm0kSc6Op3Xk92/t7fnkM5Fpwvt/ah+EsSfAxT+G4fPbL7PtXQmGmyGo3RzLXuyhTjNiwiFoOAhH48qSjZormVMpo+SSOgay5sj+vvk41LfJkJxxK+SOti6/8XnwNkifIn8NpE+S15M7TzJemo+BtxpWPWJdLiEFRk2UbMbU0fLTNCHggZr3JUvMkQjjFkGONTOoYNe/KXQ2WsY2lISgep08TqWUUkqp04AGYpRSSimlBrH4smSGEXfGc1shrxzYMmxS6iaqy7Jkcf1h0orA6e6+LBkMfH8YiDUm1/4w6nSXPkUO0Nvd4M6R5uahFigaD9f/BGZ/CIZN611QpqVemqP/6yvw9Gdh+2MQCnQ81+4ib8gUfnXjNMZkO0mwQ4LdJMFu4rCZHS6y8UgdR6p7Fyg4ozQehs3PWceyRsFn34KFX4FPvAwXfB9LU/pwENY8FSm7GICaDZKl0kPxPWJaPx+8pXBoNQT91gXGXSgBmLbcuZAR6VHTsFfK1wEkF8P826xzfQ2w7S35vWYj+NsEnYLN4NkJ296AmrhA4KRzwJUA2WfD0Gug6DLIP18+l4LNULsBEofKyQILP2lZ1PDW8z+pL1nGNpQ7JIhTt0k+95RSSimlBjktTaaUUkopNYiVxQVispMTcNo7OZembVmyttks0fr9HQViqnZbr2cOk5/Obg7+hgPSBBwGLhBjhuXAGwxcTxql+ovdJVkA1e+Dtwqyz4KwTzIKAGbeID9NEzwlULkXGqqkZ0dzHdSVgaei43WbITiwRi45v4YFX4FpHwVH+yDu5dOHcfn0YfL+8pZD02HCLZUcqjPZXgU/WGpQ643tT15ct5MvXjhJshdUjGnC1sehqc46fs0foWCq/G6zw6JvQmMFrH0wNqfiIOxZBpMulwC3ZzekT+zRZjvNiGk6Agfes07OHQZDL2qfGQmQPEwCgZ7dULdVgvEJ2VC8CEbNk9dS1OZnYdJlkOSWPjFJQ8FbIfvnxirY8Ix13ZlDYfhoyWTMXyQnCxg2yaDJmQeVK2OfJwC5w2HC5bDr1dahy1tepYiLKCEHgHUVSWA0Sq8Ywy6BJC1XqZRSSqlBTAMxSimllFKDWEVcICY/rZNsGJCDaGDtDwNdB2Iqd1mvZw6JzO0mIybaH8aRLAeUB0KgXg4W21zW0mtKna4SC+QgdvMxqN8OeedB8nAItkhGQ7BFgirJQ6FgtvSTCTbFMgDqSuDIRjiyCcp2dryNqgPwwtdgyT0w51Ow4KuQ2EFGmWGT/iSJhdiCLYzKrmbU0BreKy3l8S2xhuvPbS7lzkklGAnpct8TiySr50zXchw2PmUdK5wOxQvaz73w+7DrBfCUxsbWPQejzoPEVGjYBwk5kqnSjQ4zYoJN0FwOx7dbJ4+YIwGXzqSNiyx7TDJz8hfL63HuzXB4fSy7ygzBu/8Hl98tmZgN+2TcMOC9f0PQ+rnFnCslcJczv+PeRW2DMf56Kd0392bYs0QyhgCHGeAu53/5ZuAOALaVNuNNm4Hbs1F64Rh2yJja7d/LIuQHX4UEkbyVYHNA4hApG9jdyQhKKaWUUr2kpcmUUkoppQaxco/1IFt+Z/1hoE3AJamT8Z6UJosc+OvuIFS0P0xCdtfz+pKWJVMfRBlTJJARbJKyTiAHrVNGQcZkyJwmDdSz50opp6IrIP88yJwO+VNg2pVw1Xfh+vth4kUdZr0AUrZs+W/g1xPhpTuhalvn/TUciRJkyZzGtQvmWm7aW2Owq8aQA+Z126F0CVStkcyEXpTU+kAxTdj7IlQeso7P/1LHWRoJqXDV76xjAS8s/z8pUwdQuzHW86sL7TNiXBKYKN0OAettTPto91kjGVPlsyLkhdpNkJArmZJTLrfOK9kIr/8abMmQVCSv0fowHFxtnTd+MaQmSV+aNGvvl1bOVMg5W4Ipdhe0lIDbAbM+bpl2vW05EwwpeeYPhdlekwiZM+TGxkPSt6Yn/PXymi19XcqrNR+HsF9KpDXshfJ3oXxpLDtNKaWUUqoPaCBGKaWUUmoQiy9N1rNATHLPxkMBqNlvHUsvkAN13WbEVMvPAQ3ERHvSZAzcNpXqbzanBFUAGg/KgeGuGpAbNskYSB4OuQuh4AJIHQu5Y2HhJ+CW38NZH4XUvI6XD7TAun/CA4vhvzfDwZfkgHPI3+H02cMzGZJhzbJ7/vhIOWCfEClL6K2EmvVQ9paUtupBAOEDxVcJG/9tHUvOgWGT5O/h2Q2ePbF9McC4S2HildZljmyDAyvk+Q355G/aRXDLFwzh8QYtY3kpCdB8FA7GlSXLGgKFC7t/LDYHZM2W11lLmfSLSRoO06+GlLgMnWPvw6v/C+E02Pg0vPwN6+3uVJh2oWRaJRVIlk9nXJkSdLQnSuaX3wOzbwRX7LPIZph82/Gv1uvrD9e2BgwBycypei8WtI9/aKZPAlwVy+Q1C/K3Th0r76Ws2ZKlZtikzFrNRskMCnfSZ0kppZRSqhc0EKOUUkopNYj1qjRZa8ClTRAlHJAzfQHscZkyNQday760yiiSeUYXXxPDQQjUye8uzYhR6qS58yT7xTAkKFK5HAKNPVvWkQzpE6DgIskqyBwL06+Cm34JF38diiZ1vFwoADvegEc/Ds/eATv/LpkAtVskQyDggZAfm83gqumFlkVf3FJOOKk4Egi6UA5k2xMkAOPZA2VvQvU66X3zAeYNhNhf2cjqtSsIH9psue0PzRdx46OH2Hd4j/xNPLslABAt6whw5W8gIS7oveLPEviwOWVu3bZOt1/V2D54luOokcyOI5usN4w8u+OsyI640mM9auq3S/A7IQku/QYkxe3zj66BP86BJd+HprieRWffCvYwuAsheUT32ThJQ+XizoPG/RCqlf5GbSy2b2aBTf4m6w9GtpdcLJllhiFlxiqWQ9Va+b35OHh2Y9SsJze0FaPleGRbQySImX+evH8SsiSzJ3suFF4CaeMj78fj8rxFTwRQSimllDpB2iNGKaWUUmoQO+mMmGCz/LQnyJnObcX3h0nOgYTk7rNh/LVSiseROHANu8OB2OPTjBj1QZQyCpzpcgZ+oEEO/qaOkTFnWvfvNcOQA9juPMlu8ZZCYp70Bak6BJtfjDRvN63LmSHYu1wueWNhzAJpzu6OlCc0bFw71EWb1vIcr2th/d6DzB0zVEohpk+Q/iItpdB0SAIILaVycaZA8kjJ4OkqwHsa2XKsjm8/vZUdpR4Avu14hvmOWOZKs5nAX70X4GkxuP1FB69+qpA0m0eCyVVr5GC/OxdS8mHxN+D1H8ZW7qmCVb+G874v2R1Nh2Wflzy83f2IL0vmtBuke3dC5UFo8VgnT7y2dw8yZZRkjXgrJBjjzIJME274HTz9VWiu7nr5wolQPCVSbswJSV30pmkrY6q8fpqPSJmw6dfCur9BY1nrlB84HuMq/09Yf7gWMxzGsNkgZaS89hv2SjDTWy6XqFAQCMvJA9nTuv4csTnl9ezOlfdjsFl62KSOl/dkdwElpZRSSqkOaCBGKaWUUmoQi+8RU9BZICbkj5VPaZv50pv+MFnF8rO7/jDRsmSnIhvGkSwHyZT6IErIhrxFcvDXVyVZFFE2R+S1Hz0IHCkh6EyTDAZnWux9bndJlkBysZS4yiiDwmkSfN38Euxb0XH5s4q9clnzOBRMgOxiyB7BxOxixmcWsbvW3jr1+fd3MDd5u/S3cWWAK0uyCnLmS2mpxkNyQDzQCHVboXEfpI6TjIfTOCDT5AvyuUfXtwbJE/Bzi/0ty5ynQovwIAHt454Q9y4z+fWNC6BmnQQ2qtfGymCd9UVY/yhUHYytYP1/4KyvQNoE8OySv58ztV024NGaZsv1/BQbhhlonw2TmgNFc3r/YDNnQsVSeQ6NZimTluiGjz8Pj1wDLTUdL5cxBBZ9ToJ8rgwJwsSfCNAZmwOyZ0PTAWg6Ap4tcP534MWvtk6ZYDvKZ+2v8EDzNRwtPcTwIaPkBkey9IxJHSsBGV+1lDpzJGOSQI29ETNnPjh7+BniypT3Y93WSGbNLnlfZs2U171SSimlVC9oIEYppZRSapAKhsJUNVoDMXmdlSYLRQIudjfYYgdLWwMx8WXJoH1GTEaR/Ow2I0b7wyjVb+wJkDNPMgJ81VIiLNgoJQHjSwkGm6xn/TtTpAxUUpEEZqLriwZl0qdA4Wyo3AabnoE9KyKZAnHCISjZLhck9POSzc1W11C2h0ew3RzBln2TCZybixOv9BJpiWQsGHY5gJ2QLcGGYIP0vgm2QO1m6eORPlH6hpyGHly635KpeJ5tM+lGLCASNg3+HrrMsswzG45z4YR8rpw6V4JsLaUSlMmaLX+H878JT30xtoDfC0vuhg8/C4F6mV/9vrwuos8rcCQuEFOcGpRsjSMbrXe6eNaJBc7tLsg+S7JBzAB4SyBxKGTmwO0vwqPXQnOk/FxCGky8BsYtghQ3mF4wnBJ0Sxndu+26MiD3HGj6l2TjjLsdCqZB2ZbWKV91PM3L4bNZv9vG8IIh8jqPigZk2goECBi76TWbE7JmQUKuBGR8VVC+VNafmN/79SmllFLqjKWBGKWUUkqpQaqy0YcZV0Wo09JknWW+hJo7HgeoijsolR45qNRVRkw4FMtOGdBATGSb2h9GnQkMIxY8AclECDZJhoEMyHsx2CgH6gOeyKURAnslG8CRHOm5MSxW1iwhkrWSPhkK58HsdbDucdi/AQLeDu9KlDPsZZZtH7Ns+1rHGp6dgHPaFTB6IaSkS0mpsF8OVvsiB+gNmwQPbC5pwB5skv4xKSMhfdJplR1zvK6FB5cdsIxdYX/Pcv1o4mg+edFCfvnmERp8sSDX/zy7ldnFmRRkzYa6zdB0VJrB56XAuGth5CNwcG1sRTvfhSPvwNBz5W8W8EDFCsnGiASxjlRbAzHD0wG/HWoOWe/4mMUnXkbSlS4Bo+q1UtWupUTKpRXMgy+vg50vSVnLUYvBZoPydyK9yewSxEgefmLbTpsgZcAa9krPoat+BQ9fKu8FwG0EuM/xN14//i0+VLtJ+iOdqGCTPB+GXe6vvYMTHpKHyXunZj346+XvkVggvWTaBMeUUkoppTqjgRillFJKqUEqviyZ026QleTqeHJngZjOxsMhqNprHUvLi8ztIiPGXysHwuzunjd+7guaEaPOZIatkwBpTuzXcFCyY1pKpPxVsElKm3l2S6+LpGHgLpCMObtbDiCnjoXCRVC+HPa+Ckd2QumBjsuWdSC1bhcs2wXLfg0FU2HGbTDxCmnQ7q+RjJ6QNxZIJSTBopBP9iOBejnIf5qUefrZq7vwBWO9YBINP1e71kObP1fxnAu4/dyJpKek8bV/b2odr28J8M2nNvPop87CljFd/i7eSsl0yTsXzrkDDm+IZT2ZYXj92/CZ1ZC7QAIA3koJYqWNh7RxHK5psty/4RlOOLbdeqfdqTBs3sk98MR8yJgCYR/UbpFMl+RiCQjN+pjM8ddC5XoJwphhMFzyuk0de2LbNAwovETKk7WUQMZkOOtz8N6fW6cssm9l1bHV4J0vWVcpI3u3DV81NB6IZXMBNOyRAGbKqPbvOUeyZOrU74wt11ImAZnUcRK0UkoppZTqxOlz+pFSSiml1Bmm3GM9Qz0v1Y3N1kmT4NaAS0on43FBk7ojEIw7Az5jiJy53FUt/1NRlizYLGfZGzZpXK6Uas/mgKQh0gi+8FLJnIi+T72VUhKrbIkcSI8GNg2bnOk/6qNw/p/gqvvhhntgwY0wYT4UjYXEHr7nyrbCa9+C38+GV++FijLIXQQFF8hB9IQsyThwpkt2jGcnePZBxTLJpBnk1h+u4cXNJZax74/YhD1kDZgz+wsAXDujiKunF1luWrGvisfWHJYgQ+Ys2d8GmyQzpuAsmGItacbxXbDu95JZkn22BAdAgmulb3C0stoyvXjISNj1onUdw2dKIO5kpYyULJXEQmg6CIeekCwS05SgROUqKT/nSAZHUiyr62SCbIkFkDldAjue3TD3I/iTrCXtPuN9jIaGRqjfAYGGnq035JP7W7kqFoRx50nGpRmW4E/5u1JKLz4t1bDJ6zl/sbzfQNZRsQwqV0NLeftllFJKKaXQjBillFJKqUGrXSCms/4w0HHAJRySs67jxwGq9livu9MgMQ0cXZQlAzmDGCAhp+t5fSl6Nr0z7bQqY6TUKWNzRMqSDZVAZvNRuQRbpKxU02E52z+5WObYnOBKhcKL5cB3zgwphQWS4dBUDfUVNJUf4911BzjbtoMcw9PxtkN+2P6sXBLSYeJVMOV6GHUBmH7JbvDsBYdbAjHeMvDVQsH5cjB8EAqHTX704g7LWJrbxg3OZdaJ+eMgU4IlhmFw37VTWHeohtL62L7810v2cN2MIaQnuSBrLlSukEwmRyrMugH2LANvm7/tO7+CibdASr4EAJypULcVn99HSYM1MD8q1YDjcf1hRp7dd4Hz9MmAAcdfkP3y0aelvFw0GJVYCIlFkr1j2KS02Elvc6KUufNWQMJxuPi78PyXWm/OMTxUvfsPUq+6U4KNeed2/TkRqIf6jfLZaNgkUyxlFNgTY7c3HpDXZdMRMIOQObP9Op2p0jsmdZxk0bSUxEryOZJlnUnDrD3blFJKKXVG0/9klVJKKaUGqfhATEFn/WGg40BMKDJmc8qlrcpd1utZI+QM5q76w5jh2Jn0A9ofJlqWTPvDKNVrjiQpZZV/IeTMl7P4DZtkD9Rtg9IlULtJgqymKcGQ/PPkkjpWyi2lFsDQaSTPvoJnh36Fs3x/4mb/9/hH8BJqjC7el7562PRPePwG+NM82PYcJA6HggshY5qUuzIc0pD96LPQXNL5uk6h5zYdZ/OxesvYXXPDJJRss06cYM1oSU9y8qubplvG6lsC/PGdSFlIV7r8HQAa90FiFpx1s3WdzR549Yux68ny9zvmmIWJNRAz8sDjSCOXCEcCDJvZd2UkDUOCQaM+KUEXf50EkQybPJfZcySIAZA8om9KziUNk4weRzKEWnDlZbPGZS21llO+Bja9KMHDylWdZsa4w9UYVSslCONMAddI2L0Snvgo3JcPPx8Jy/8A7pGQNUceV3OJBJbMcIfrxJkiAZn8CyF1tHzWBpugbiuUvwUN+3tc6k8ppZRSH2waiFFKKaWUGqTie8TkdxaICfnlrHUAe1JsPBhp5NzRQbjKuIyYjEgJna4yYlr7wyQMcH+YSNkiDcQodeIMA9w5ctC48BLImCqBVzMkJaYqV0Hp63LQufmYLJMySoImeedGsgbc3DA+TBgba8KTuDf4Cea0/IGKS34JoxeC3dn59qt2w7Ofhz/Mgg2PQfJouR/5i6X3U/MxOPiYZMkMMg8uPWC5PirbzW3JKyDot06c9KF2yy4Yk8OVU63ltB5ZdZijNZH9c/IwSBkhv/trYNRcKJxoXcn2N2HfS7HrdjdHGq1/6xGJXhLWPWhdrngmJBV0+dhOSGIB5J0HGdMl7pM+WT4bqtbI54Rh75tsGJDPG3e+BGTCQTBDvDf8Y9SYcWU41z8FRzbJ9iuWSSkzMxzJAjuKUbOe9PB+Gas8Ds9+H/5vPrz2bTi4VD5DvfWw4tfwu2mw8kFIHC3BmJYy6c3TWTAGpMxc+iQouEiCUo5EyRSq3wFlb0oWWPRzWimllFJnJA3EKKWUUkoNUj0uTRbNfLG7rWVQOusPA+0zYtLz5WdXGTGtZckGMBsmHJJSMaCBGKX6is0pB//zF0PuQgkG2FxyoLi5RHqWlC+VwMzxl6FmnRzgdmZwwbgM0hNiWRdhbPy7egx85F/w5fdg8V3tAwlt1R2Gl74Gj1wFTTWQPRuGf0QOtgcb4dDjUPVef/8FemxPeQO7y60ZFv9zrgPHoVXWifljIXtCh+u4+7LxOO2x7BV/KMwvXt8dm5A+WfZvhhN85bDwE2B3tVmDCS99EwLNrSNHqptp64vuVyHQ0mbEgBnXgSurB4/yBKRNkIweV4Zkf9TvkF5EIJlU9i5KafZW0vBIj7AMcKYxbUQ6Xwp8haAZdzjj3QegxRfpKbNHXr9lb0rGl7cUzDDG1rfg+W9LT6PO+BslIPPgxVBVJ9v2lsvrMhzs+r7aHNJPJ/8CKfPnSJYeZ55dUPaWBIhC/q7XoZRSSqkPJA3EKKWUUkoNUj0uTdZZwCXY2PF4ONw+EJMW6c3giDvLuK1oIMY1gIGYQL2US7InSIklpVTfSsiCzBmSnZK7MFKOLEMCMxDLKvDXgreMhHAdV4+1ruKZrfWYx14EsxEW/Q+Bz6zi4+kP8+PArewKD+t4u0dWw4PnwsFlkDwERn9atm2G4PhLcOyFQXHA+uUtpZbr+akuLiiohGPWnjGMObfTfVRxdjK3zSu2jL2wuYQtx+rkimGTsl7RbEO7F2bdaF1JXSm89sXWQMDhNoGYLDxc433BOn/kHMgc2n+Bc5tdAg2GTYIP7vxYE/u0sd0u3ivuvEiZsxAkF7NgRBJbHZP5afBW6zx/E7zyY2iKfGaEg5IJ5srENFMZd/B17Osew1K+rSs+Dzz3JTh6UB6jrwqqVvfsdWnYpIxc/vmSheZMkUCnZ4+ULKvbHvvsVkoppdQZQQMxSimllFKDVI9Lk3UaiImOxwVX6o/KGb9tZQ2TUio2R8fbMMOxEmED2h9Gy5IpNSAMQ4Iy6ROkFFnRpTDkSim1lHeOBAoypkDqWK6fYd0HHPQ42XjwOBx9Bvb8iYdee5dl5Yk8HLqSy/w/49P+b7ApPLr9Npsq4dFrYfmvwJYAI26TPjYYUP0+HH5SmrSfQi9vtQZirhjnxHb4vfZlycZf3uV6vnLBWFLd1v3rT17eiWlGggJ2t/QlcWVDoA5GT4OcuIDGhudgzX0QDnGkJhaI+bzjRRLMNp8XhgGzb5LMp67KTZ6shGwovBQKL4Ocs6R8XVdZlSfKMKQ0GUBLKQkF87l4lJ2/hS7j6dA51rm1h+BfH4O3/wq+BKiohWV/w/HE7WQ17e/gMaTA2HNg8Z0w5hwJoLRlhuG178Ku9yVjyV8HVSslONnj+z4E8hbLe8iZJgGixgNQ9rZk2bSUywkHSimllPpA00CMUkoppdQg1OANUN9irSef31lpss4CLp1lxFTEncmdkApJmd30h6mTA1I2V/8caOt0u7Xys7/K6yilOmfYJEDrypTm7CkjIX0CMyfPY2SOdb/yTMkEsCVwsKqR365qe6a/wVvh2Vzn/xG3+b/DMTPHug0zDG/9SPrHmCEYcgUMuQrsidCwF44+K9kDXfXn6Cd7yhvYV2ENWl81sgkOrrFOzBvdaVmyqMxkF18639o35b2DNbyytSw2kJAFmdMgIQd8pbDgY0CspBlmGN78Paz9OUdq5G+cSx0fty+xbmz8RdL3KyFbAgH9yebo/20AJBfLdnxVEA5w+awJgMH/BD7DlvDI9vP3vgGP3QTPfwm2PY0Rf/KBYYPzvg53vg1X/QKmXg+L74Ab/1f6HcVb9ivY+LoEYwKNULlCPhd7yjDkPZR/HuScLVk+IIHG6rWSJdOwb1BkgSmllFKqf2ggRimllFJqEDpQaS1ZYjNgWFYnpbk6yogJB6RRMLQP0MQHYnJGyUGirgIspyIbBtoEYjQjRqnBwjAMrp85xDL23D439+y5jK+9PxNfKPZvpoHJBcMDgMGK8FSu9P2Ut0Mz2q9063/gyY+Cv1myK4Z9CNwF0HxMDnpXrup5FkIfeSmuLFlhqoOZGXVwfLd14qj5Ejzpxu0LRjAkI9Ey9u1ntnCoqs3+PmWklLLCBEcNzPmYdSXhEOYbv2BizZsstm3ip86HSDTaHLw3bDD3Nvn9gxTAdiRCYpH83rifcycOJ9llx4eLz/nv6rwEXkfSCuCTr8L590L6eEifBNlz5ZI5XAIyMz/Ufrl1f4N3/gJhIOSFiuVQt00+b3vDnSfBmIILIHW0ZC4FW6B+J5QtkR5N/vrerVMppZRSg54GYpRSSimlBqH9ldazd4dlJZHgsHc8uaNATHTMntC+3Fh5XCAmM3IAq6uMGF80EDOAB/aCzRJMMmzSs0IpNWhcFxeIafQFeWRtKZvLrSWWPjGxlr/M38B5Q6SUVj0pfDrwTX4R+DDh+H9H974Bj30IWmohfaL0rUkdCy2lUL8dKpYOWKky0zR5eUuJZeyK0SFsh5ZDoG3ZSANGd94fpi23087dl423jDV4g9zx+Hpa/KHYYM48KfNlhmHseJh2k2UZIxzid/bf8w/Xz7nYvsG6kanXQ2KkjOVAB877W0qkvF1LCW7Dz4UT8wEoI5ur/T/h78m3Q2J6l6sIT7gC7lwLw+e1vzGxAPLOA3c2zL4B5n8cS0YSwL634LkfQDRjtfEglL8Dzcd7/3gcyRIEKrhY+jS50uU5bz4GFcugam3sZASllFJKnfY0EKOUUkopNQjFZ8SMzk3peGLIHzsb197mQGBrWbIOlqvYab2eUSA/O8uIMc02vVoGMBATPQDlTG9ft18pdUoNy0pi3qiu9wdDMtx887LJOLKm8cfzqxmdLgEMExv/F7qOL/EtTEdc76uja+DvV0JDmTR9z5kP6VNkf9B8VHpqNB7or4fVand5A/vj9sNXjgnA/vetEwvGQPa4Hq/3mulFXDujyDK2q6yB7z23LdYvxrBJeTZHigSe5l4LU2/qYG1xbA449y75TLA5ZN/5QeJKl8wj04TGA1wxtaD1pgAOflxzKdVX/xJmXQ/OyOvKmQgj5xG88DssmfQLQjc8Cu4u/i6ORMhZAKljYPIlcP6d7U9mqDkAT30Zqj0STAn5oGYDVKwAX3XvH5fNDsnDIG+R9GdKGiJZqt5yWWfVGs2QUUoppT4A9D9apZRSSqlBKD4jZnRucscTQ9HMF7cczIkKdBKICQWgao91LBqI6ShoAxLUCQfAsEuj4YHSGvzRsmRKDUbfu3ISmUnOTm//6fXTSM6fBfmLSM0exY8XWw9ov+Kdyp+H/W/7A+MV2+HhS+SAd9pYyJwKaROlHJS3XHrG1O/qj4fU6uW4smRFqQYz3UehLC4INHZRj8qSRRmGwf3XT2VsnnV/+/SGYzz5/tHYgDsXss+SXjne4zDvRph8Tdcrn/d5cEU+B1xZA9O7ZaClRvrsNB3mvDGZJDpjn3thE96omwYXfB8+8yzc+lf48ir4+KuY875Bc0J+z7ZhGJKRlT0HxpwDl3+7faaNvxGevRPe+hMEnPL56K+VEnpV70HAc2KPz5Uhpenyz5fgjGGAtxIql8vrPhw8sfUqpZRS6pTTQIxSSiml1CAUnxEzqrOMmNayZHG3RzNinHHj1fva17PPHCZnAcef9RvVNiAykJkp2h9GqUFtypB0Vn77Av7xybn8v0vHc/mUAoZnJTEyJ5mfXT+V88blykR3HuQtZsH4IVw11lq67Oc7c9i9+LeQEneQvO6wBGPKtkLaeLkkjwAzJFkHDXuhbqtkR/QxKUtmDcRcMTqMcXCVlI6Ksjtg5Nm9LgGW5HLwwG2zSXZZy03e88J29lU0xAbSxsnjDnjA9MHZN8Kky1pv9plO1obH80rSVXDNT+DCH0HzEbkxeXiv7tNpw50rJwSYIRL9R7lgYp7l5ld21ktZt/wFMPbDkDbqxD+3EgslQ2XYbLj2R5Azsv2cvUvg0Y/ChtfASIsETiqgfCnUbpGs1RPhSJZyZfkXQFJRaxYQFe9CS9mJrVMppZRSp5QGYpRSSimlBplQ2ORgdQ9Lk7UGYpI6HrfHZdKUb7deT8mDhOTB1x8mHIqdUTyQ21VK9UqSy8Hi8Xl88fwxPHDbbJbdfT7vfHMxN58VFwiwuyBrNt+9bAyJjljwxMTgW6tdhG/4HWSNsi7TVAl/vxwOr4L0CXKAPbEIMCXY3HgIajdagyN9YGdpAweq4sqSjfbBoc3WiUOnQmKWtT9XD43JS+HnN063jPmDYf70zv7YQGIhuNIgdZzso+0OWHAbPy38BVf6fsoU38N82H8Pa0fdATM+D75yKZNld4O7gA+s1EivmKaDXDHFGsBbtb+a2qYTDH50xJkqwZiC2XD1PTD23PZzzBCsfwT+cTNsWwlEPo+bDkP52/I6PdGAoSMJsmZDztnye7AFqt+XUmjxJ1UopZRSalDTQIxSSiml1CBzvLYFf9B6YHFUZ6XJOsqIMc3OM2Li+8NkRw58dtYfBk5Nf5hAnTwOu1suSqkPhMIhE/jyObmWsU3lBv/eE4TrfwEFU60L+Brg0WthzxvS2NydHysFZgalSXrtxj7NjHlpS4nl+pBUkxnOo1B9zDpx7KJeZ8O0deW0Qm6fX2wZe2FzCSV1LXLFsEHySCl7Zdgi2RFDeL+5iO3mCAJIFmNx4VCwOaHpkCyXXPzBLEsWlVgknwshH4uH+XE7Y4c1QmGz3fN30mxOyJgKQ6+AK38O593RvlQZQKAZVv8JHvkYbFsBISRYUrcVKpadWP+YqEhWGalj5LltPg7l70rZMqWUUkqdFjQQo5RSSik1yMT3h0lPdJKd7Op4cmsgpk2gJtQiZ4gbNrDHZcpU7LBezxoaWb6TQEzIC8FmOfAzkCXCTkUWjlJqQHz6ojmMyrL2lvnhcoNtFS1wzY+heIF1gZAf/v1R2P0yZM2UALMjBYxIOcXmEqjd1CfBmHDY5PlN1gP5V44OYxxYY52YkAzDZ55UIAbgqxeNswQSgmGTf6w6FJuQPFzKRgYawFcBWbM40mj9PBielSQZhL4a2Vd/UMuSRRm21qyYZO8+Fo+z9uj53Vt7qW/ph2wRewJkTILz7oPPvAizb5RMr3iBJljzZ3jiTtizTprXBDzSP6Zmg3yungibXXrX5C6Uz/yQF6rWQN22Ps8KU0oppVTf00CMUkoppdQgEx+IGZWbjNHZ2c0dBWLaliuLXy4+EJMRKV/TWUZMNCDiTOu8h0x/0P4wSn1gJTjs3HPdTMuYN2jwuVdsVDU2SnP0cZdbFwoF4D+3w87nIGuuZCmA7PsMA5qPQd0WSzCmqtFHXXPvylS9d7CG49GMlIhrxgLxgZgRM2Wf6Dq5QExWsoubZg+zjD3x3hE83kggweaUPjEAddtpbPJQ3WQNMhRnJ0n5K5ByZmdCFmHyCPmMC3m5dar1sEZVo5/fvrmn5+syTenrEv3c6Y7NCdnT4aqH4HNvwsRLOu5D4/PAst/C09+Bo7skWNJ8HMreBs+eEy8t5sqEvPMgZYRcbzwIlSulbJlSSimlBi0NxCillFJKDTL7K3vYHybkjx3IaZv5Ei1L5ohbztcItYesY+kFHc+NOhVlyUADMUp9wJ03Lpdbz7ZmbpQ0wp2v2fD7PHDhnTDlButC4SA8/XnY8RxkzZKxYBMk5EswpukI1G3FDIf52au7mPuTN5n7kzd5pG2GSTee2WAtPzY+22RyYBM0xh2kH3ueBDziyz+egE+fM9ISM2/0Bfn32qOxgeSRknljhjhyaFO75Yemu6DluFxJKm53+weSYYP0KQCcm1vGxROsAbFHVx9mV5mn+/W0lEnZsKr3oGKF9F8JNHa/HMhrLn86fOQp+MJymHhFxyXh6o/B6/fByz+HyqPSU8azG8rehPpd8lneWza7lEvLOVsCQ/46eRzeqt6vSymllFIDQgMxSimllFKDzIEOMmI6FIoEbOxuOSgT1VkgpnK39bphg4wicCR2nu0SrWk/kIGYYBOE/XL/nB3U4VdKfSDcc/VkzhphDbauLYHvLrVztLoec8GtMO3D1oXCIXjuK3BkLaRNkDFfJaSOld+bDvOnV5by56X7MU0IhEzueWE7r20r7fb+tPhDvLLVOu/6iU6MPW9ZJ6blQf4EcFt73ZyoETnJXDa5wDL2t5UHCYQi5aYMAzJngGHnSFW9ZV5Bmht3oFSCVM4UcFvLdH2gJeZLzyAzzA/OCeFyWHvF3PP8dkzTpMkXZMmOClaXG5TWR8qC+aqhYnkk8OKRz0DDiARm3oXaLRDy9fy+5E2Bj/wL7lwrAZmOlG2D578Db/8VGmrlOWvYKwGZuu0nVrLMnQd5i8CVLp+b1WugYV/v16OUUkqpfqeBGKWUUkqpQabHGTHRs3bjy4oFOgnEVGy3Xs8cDg5X5/1hwkEINsjvA9mrpTX4k9FxuRel1AeCy2HjT7fNpig9wTL+1A6Tcx+1Mf3BFm4tuY4DQ6+1LmiGJDOmuUmCIWYIWkohcwYv7rXxixXN7bZ11382d5sh8caOMpr8odbrNgM+lLcbDm+zThx1lhy0T+ibQAzAZxeNslwvrfdam847kiBjMkescRiGZzqh6aBcSR7RZ/fntJExGQwbw9w13LEg33LTewdr+MiDa5j14yXc+a9NPHnAzuJfLeMTDy3jtTWr8bfUgWGXIF7BRZC3GBILpFRZ02GoXNH7bJXccRKQ+ew7MGxOx3MOLIX/fBWWPw615fL6bTwAZW9B7eZYedGeciRBzkJIHib3vX4n1G3tk55JSimllOo7+p+tUkoppdQgUt8SoKrRehbu6M4yYqJBkviAS2tGTNxyFTut17NGyM/O+sP4a+VAjiNpYHsO+CKlVRLOoDO7lTpD5aQk8JePzyXB0b6kk8dnsPIYXLjvJrYXXme90dcIT34UnPnSRD3QwPoDpXzjrY77aTX7Q3z20XXUNsmBdW8gxP7KRpp8wdY5T79nzRpcWOwib/9LEIrNwbDBmIXyex/uo2YNz2ROsTU76C/LDmK2PZieXMzhpkTLnOIkjwTfDTskDe2z+3PacCRDymgAvjC1miEZ1s+qtYdq8AVjjezDJry7r4E7XjVY8IiD16qnQvoEKe/lTIHsuZC7UD73gs1QvVaysHpryCz41Jtw879in7VtmWHY/Ro8/Q149ddwbJe8zpqOQPk7EpDpTUaOzS5ZUxlSro3GQ1CzXrajlFJKqUFBAzFKKaWUUoNIfFkyu81geFYngZiOMl/CoVh5k/gATXl8RkzkoF1nGTGnqj9Ma0bMyTXBVkqdHqYMSefnN07v9HYTG1cfvJHKogusN9Qdh6c/BSljOVwPn326An+w8yyAozUt3PTgai777TIm3/M6F/5qKQt/9jYvr9tO+YGlrDhkzaT5SNEeOLDRupJRZ0PGMCkFZbdm8pys+KyYnaUeXthcYhk70mT9PBie6ZLyXFkzJZhwJkodC45EEg0v3z+vkzKbHahqDvP1p7ZTHXfyAwlZkB3tvVILdZtOLLvEMGDCFfDF9XDVbyCpk8+04xvgtfvgme/B7lXgb4kEZN6WMmO9CaakjISs2RIwbCmV3jfhYPfLKaWUUqrfaSBGKaWUUmoQORBXlmx4VpKl7r1FNCOmbUZLNBvG5gK7yzo/PiMmPa/98m35IoGYgSxLFmySQJJhA1dm9/OVUh8I184YwgO3zuTcYgeZ7vYHvcPYuOrYrfiyxltvOLKB4Bs/4POvJVDjtWbD3DI9mZkF1nXtq2hkV1kDobCM17UE+OJ/D/HJZxoIm7Hlk51wSfPLEGhbmsqA6VfKr31Ylizq4on5jMqxBlp+8Px2Kjyx3iFHaq19RIYPnww5Z0FiYZ/fn9OGzQ4Z08Gwc+lQD+cOb58V5bBBgq19ZktLIMR/1x9rv85odoxhg+YS8Ow68ftnd8CcT8FXN8N53wJnUsfz6o7A8j/Bk3fBhhegpV7KjJW/A96qnm8vqQiyz5K+N74qqFoF4cCJ33+llFJK9QkNxCillFJKDSL74zJiOi1LFg5J2RSwZr5EAzHOuGyYpipoqrCOZRbKGbsdZcSYYTkTGAY2I6Y1GyZTDq4ppc4Yl08t4rHPnceGzzlZeXuYL5xt3f+V+xP5RNMXCSdaMwscW19gbPVSy9jisVn8+MOLePD2c8hP6X5fsqPKevD+miGluA5usE4aMQcyiuT3fiidaLMZ3H2ZNdBU3xLgf57dimmabDhSy7HaFsvtxdmdfEacady5kHcuhiuVP14S4pJRJiMy7Fw40s4vLgyz5nY/D854n59dnsm4fOvn4xNrjxAOd5DxkpANmZFMrYZ90jfmZCSkwvn/A3fthIt/DKkFHc/zeWDDf+Cpu2Hn2+D3QNVq8OzpeWaOOxdy5stJGf56WV6DMUoppdQppYEYpZRSSqlBJD4jZlRuSscTQ5F5Nqe1PE60yW+7/jA7rNcdCZCaL/M6CngEPNJA2OZsX+KsP7X2h9GyZEqdkexujOy5DEkzuHtOA1dNSrPcvLo+h58mfhUzrgzXz5x/ZbRxHIBxWSZ/uKgRh+kjLzODB2+f13lmYSc+l/gG+KxBD2Z+SA5sG7Z+20ddNqWQq6cXWcbe3FnBD57fzkf/uqY1kyeqOKuT7IozkTMVcs8lPXs4f7nC5N3bAjx8ZYCbJtnIyMjH5xzFDQvmcv/1Uy2LHa5uZuX+TjJOkoZC2jj5vXaLZMecrMQMWPgV+No2uP4hKJjS8TxvPaz8m5QsO7IRPLuh+j0I+TueH8+VAbltgzFrNBijlFJKnUIaiFFKKaWUGkR6nBET6KAsGcQyYtr1h4kLxGSNBJsNnOkdr781GyZTsmYGSjQjph/ONldKnSYSsiB9EoYBv1hUz+RC637woZIx/ML+actYsuHjQedvyLS38PvLnKTavVC9BkJ+ZgzL4Ok7FnDDrKHcNHso9149if/eMZ+ffGgKLnv7f4mLE5sYUf6edXDoVCicFrl/2RKM6Sc/vGYyOSnW0pKPrTmMN2DtFXLRxHwyk+NKUJ7pbHbJYsmaLSW6MmdA4SWYWXPx2iS7c9bwTCYUWD87/7nmSOfrTBsPycXye+1G8FZ0Prc37E6YdhN8fgV84mUYe1HH8+qOwRu/guUPQ8NRqFgK/rqebcOZ1iYYU6fBGKWUUuoU0kCMUkoppdQgEQyFOVxtbRY9urOMmGggJj7g0lkgpmK79XrWcPnptJ5t3qptIGagaH8YpVRUyihIKiLRYfKXy/xkJ1szYP7UsIgng4stY2NsJfw3769MyPTJviTQKP0xfDVMHZrOrz48nV/cNJ1PLBzJnBFZ3Hp2Mf/9wnyGZCRa1nNv/psYzXXW+zPzelr/fe6H/jBtZSW7uO+6qV3OOW9cLr+/ZUa/3o/TWlKRBGOSh0lmZxuGYXDr2cMtY0t2llPusfbfsciYCklDpGxn9bpYD7W+YBgw4hy49Wn44vsw/vKO5+1+B577PpTvhMqVPc/OaQ3GOCPBmPcgHOyzu6+UUkqpntFAjFJKKaXUIHGstgV/yHrGc6elyVp7wcRnxHRSmqxsm/V6ZqT0zWAKxETLkrky+/Vsc6XUaSJjOjhTGZLs48Gr3aQkWMso3hP8BNvCIyxjo2vXwPbXARNaSuTAc+VKqNkIIV+7TUzLg5du9HLzmFoKk3x8efg2Flc9Z52UPw5GXwyBernu7t9ADMBlUwq4bkZRh7ddP3MID90+hySXo9/vxwfVdTOHkOSKvZ5CYZN/v3+08wUMQ7Jr3HlStrP6vVgGZ1/KHQe3PAmffDWWgdVWfSm8cC9sfkECQp69PVuvMw1yF0SCMbWRzBgNxiillFIDSf/DVUoppZQaJA5UWcuSZSY5yeqs7Exr5kubQEzIKwdWDMMaiAkFoDwuIyazUH52FIgJ+SAYycwZ0ECMliVTSrVhc0DWHLA5mJNTz8ufKGDm8IzWm324+ELgq9SbcX1S1vwTDqyTzJWWUmjcLyWlSl+TbIDK1VCxAo6/CvseJLNpNT+bu4fV1x/gG/7HMIJxAZuZH5IyjmZIenJ1FsDuY/deM5nc1ATL2OcWjeKXN03H2UFJNdVzqW4n18YFuv619gjBuJMhLAybvB4TsuWztnIV1O+ULJm+VrwAPrsUrvkDOONe3+EQrH0SlvwKqjZIkLEn98GZBjnzY8GYas2MUUoppQaSfntTSimllBok9lc0Wa53mg1jhjsuQRaIjNmTrBkllbvbnwmeVSw14+3u9uuPZsM4U+VA6ECJZsT0UxNspdRpyJkimQhAsfMo//nYCL5ywRhskdZVR8187gp8IW4hE5b+BQ5ulGbr7nzp61G9Do6/BCWvQOnrUrYs0CgBmyFXwpa1UBeXFTHxIhhzQSw4PYCB4owkF49+6iymD02nODuJ+6+fyv9cMRGbbQD7dn2AffSsYsv10nov7+6u7Hohmx2yz5KSZwAN+6BiOQQ8fX8HbTaY9XG4YwUUzWh/+5FN8Oz/wNGV8truSTDGlR4LxvhqNBijlFJKDSANxCillFJKDRLxGTGjc5M7nhhsBtMEww6ONr0NWoMz8WXJtlivpxWBO0UOyHTkVJQlCzRKsEj7wyil4iUWQuoYAJyezdx1/hD+/fn5zC1OY0gqLFw4ExbcEbeQCe/+ESoqIXMm5CyA1LGQPEIar6eMgtRxMORqGPs52LkC9rxuXUXeGJh3qyzjLZexfu4PE29iYRrPf+kclv6/87nlrOHdL6B6bOrQdKYPtX4OPv7e4e4XtDkkOJg9V05oCHgkGFO/S7JV+lr2aPj0m3DOXUBcEK6hCl64B7b+B6rX9mz7rnTImRcXjAn0/f1WSimllIUWlVVKKaWUGiR6nBETbJCf8f1homfkxpfNKd1svZ47puN5UaciEOOvjm1T+8MopeKlTZB+L74qqNvM3OIFPPWFc6HxENRtBc6FsAlrHowtY4bhxW/Aed+CeXdKjwxMMBxSwhGgqRpevhs2PGrdXmImXPBlSEiTLMOAR5Zx5w/M41UD4tazi9l8LHaywru7K9lb3sDY/NQulopILJDPrNrNEqhr2AvNRyF9EiQN6ds7anfCRffAyHPhv5+ElrrYbaEgLP0reMpg/p2Qc7Zk7nTFlSHBmKo1EoypXCXLdZQlq5RSSqk+of/lKqWUUkoNAqZpsru8wTI2KqeTjJhAB2XJoE2ApptATE5xx/NADlz66+R3V1bXd7ovaX8YpVRXos3SbQ45cNwUyVxIGSEHxDFh+qUw74vW5cwwvHs//G4arPoDNNVAQxnUHoL3H4I/zIINj8jyrduySRAmJVuyYVpKZNydD/ZO+nap09JV0wtJT3Raxv689EDPV2BPYE9oIk8fG0W5N1F6tdVskMBGoLH75Xtr9AXw+RVQOL39bRtfhCU/kv5HPcqMyZDgpN0tgcbKlRBs6nYxpZRSSp0YDcQopZRSSg0Cx+u81LdYS4NMKuokY6XbjJg24+EwlG21zsuMNCjuKBATaJCG1DZn+xJn/Un7wyiluuNIlMwYAM9OCLbI75kz5GByqBnOuql9MAagpRbevBd+NQ5+PQF+Nx1e/gZ469rPnfdJKBwn+8CkEdByTMYT+zjLQZ1ySS4Ht8+39op5ftNxjte1dLtsIBTmhy9u55LfLOMbzx3i6n9DKaOlbKivGiqWgmdPz3q39EbGMPj0Eph9e/vb9q6GF++G8pVSwrQ7zjTIXSiv9WCzBGP6o9+NUkoppTQQo5RSSik1GOwotR74SE90MiQjsePJwQ4yYoIt0nDXsFnHaw6AP+6s3Kyh7edF+WvkpyszVrqnvwU8kf4wdu0Po5TqWvIISMiS/V1dpKSUzQlZs2Sf1XwMFnwy0k+jl5zJcP63YNJiWVfWTAjWy/7V5tCyZB9Qty8YgdsZOzQSDJs8tLzrrJhyj5db/rKGv6881DpW0eDjj++HIP98ea2YYfDshoplsZKffcWRAFf/Hi79afvbju+CZ78ElWt7uK4kCcY40+SzuHIleCv69v62FQ5CcwnUbYOG/ZLh1h+9dZRSSqlBRgMxSimllFKDwI5Sa1myyUVpGB0FQkwzVu6kbeZL9AxWR4q1x0rpJuvyybmQlNl+XtSp6A/TEmmC7c7V/jBKqa4ZBmRMl32FtwKaj8t4Qrb05gDw7IL5n4I7VsKEq3q23snXw50rYOxs2UbKGNkPNkezYYq677uhTkvZKQl8ZM4wy9iTa49S2+TvcP6aA9Vc+fsVrDvcPrjy3/XHqPbaIOcsyJoNNpdkmlaskMBDONi3d37+F+GGv0kPmbYqDsOzX4CaLR0vF8+eIGXKEnLkPlavjZX/6wumCU1Hoeo9KH0datZD40Go3yGBn9JXoWK59HzSoIxSSqkPKP1PVymllFJqENheYs2ImTIkveOJoRYpHWbYpIF0VEdlyaB9f5i8cfLT1cn6T0UgxlsmP/Vsc6VUTzhTIHWs/F63DUKRA+YpoyB1TGR8M6Tnws3/hM+9C2Mv7SDQa8DQs+DjL8BNf4dQFYT9sn9MGycZDS2lMjVp6EA8MnWKfObcUdhtsZMfWgIhHll9qN28jUdq+djD71HV6OtwPb5gmEdXRwIYSUWSHZMcCfI0HoTyd2InH/SVqTfAbc+AK66caOl+eOaz4NnXs/XYnJBzttxf04TaLVC/s2clzroSDkhgp3aTBE/NsJRCSxkp/Z3sCbINfx3UbYWyN6F+l2TnKKWUUh8gjlN9B5RSSimlFOzsICOmQ61lyZKtpcOC0UBM3HJlcWfDZhd3PA/koEewWX53ZXR/p/tCyCsHX0ADMUqpnksdI0GSgEf6xWRGmpenT4SwT86+r1kHOfOhaCbc+h/wNUqpRrtLSjvZE8DukAPDddvBWy7BmsyZ8rOlVA4i293gyjq1j1f1q2FZSVwzvYhnNx5vHfvHqkN8btEoklxy2MQ0Te59cQeBkDUwYRjWWMVjaw5zx3mjSXTZ5bWWOUP6C9Vtkc/Y6rWQWAhp49ufPHGiRi6CT74K/7gSfG2+TxzbBc98Em76DyQXdr8ewxbpuZQkZdUa9knvpeh7oreCTfJ4A41SfjR1jGSXOeNKowZb5KSMxgPyN2rYC437JQCaMqrv/k5KKaXUKaQZMUoppZRSp5jHD+UN1jM/Jxd1krESiBxgiT8oEeggEGOa7TNisiJndTs6CMREs2GcqXJm7ECI1qF3ZchBUaWU6gnDBhlT5femI9YeHBnTYj06qlZL+aNwABJSILUAkrIke8DuiJSNWi4HgEHKm0X3r9GyZElDB65nljplPn/eKMv1uuYAT7x3pPX669vL2Hy0zjLnvHG5/Ouz8yxjNU1+nt5wzLpydy7kLYbU0fJaaimF8nelRFfAeiLGCSucLpkxzrj+coe2wPO3g68XfWrSxkmPJMMm/VyqVscyz3rKWyXvrUCjBDNzF8p644MwAI5EyZDJvwCy50hWrhmW93b5u1LSzFvVu+0rpZRSg4wGYpRSSimlTrHjTdYDfIlOOyNzkjue3JoR0+ZAhhmWs07BGoipPwotcQdeMgvbz4s6Jf1homXJCgZum0qpD4aErFjJsLqtsbQEwyb9OaLBmIb9UPa29J8INkvg2lct4xXL5LrNBdlz5WAwSOAmGijWsmRnhAkFaVwwIc8y9usle9hb3kAwFOYXr++23DYyJ5mHbp/DvFHZnDcu13LbwysOEgrHlfSy2SXQl7dIMmJAghzl70LNhlj/t5Mx7Cy4+V/te8bseQ9evxP8no6X60jSUMiZJydm+GqgckXsu0ZXTFPeW9Vr5H3kyoC8czsvidqWYcjfJu8cCdxE/07eCgkGlS+VAKkZ7vnjUEoppQYJDcQopZRSSp1ix5qt1ycWplpq1VtEz5x1pFrHTFMOltjdsfHSuLJk7nRIyZE5dlf7dQ90ICYcAl/kDNdELUumlDoB6ZPA5gB/PTTHshew2aVhes7ZcgZ+2B/pP/GWHMytXCWZMmYY3HmQv1j6VUS1lMhtzjQti3QGuXPxaMv1Zn+IOx5fz6OrD7O/0hqE+MYl43Da5ZDK5xZZs2kOVjWxZEcnvWCcaZL1kX9e7DXXfFz6x/RFQGb0+XDTI1IKrK0Nr8CK78t7pacSsiH3HHAkSRCmYrkENDsLhIQDUP1+5L1lQtIQyFlg/W7S421nyd+p4AJIGSGPJ+CBmo3yPm48cPL9a5RSSqkBpIEYpZRSSqlT7FijNegyZUgXZ41GM2LalvYIRsuVxWW5xJclyxsvZ5s6O1i/GY71ahmoQIyvCsyQlCTpKENHKaW6Y0+AtAnye/3O9uWT3HlSEipjqhwMNuzy05ki+7rMaRKsaVsa0QxLbwzQbJgzzJwRWdw8d5hlbH9lEz96aYdlbMqQNK6YEuu5smB0NpMKrZ9jf11+oOuNOdMkCys+IFPxLtRu7n0psLYmXAnX/rH9+MrHYdMfJcOlp5wpEoxxZUigpW6rBI2aj0sgJBySIE1LGVQsbdNraRpkzZKg6MlwJMv7t+Aiea/bE6S/XN12ydLpq9JuSimlVD9znOo7oJRSSil1pjsWV5psclEnQYmQVw6CGIa1NFlH/WGgfSAmZ1TH86LrMEOSVePooH57f/BGy5JpNoxS6iQkj5BeEgEPeHZC5nTr7YYhZ9SnjOjZ+hr2SwkzuxuSi/v4zqrB7t5rJrP1eD3bSzov43X3pROwtclcNQyDzy0axdf+val1bP3hWt7ZXcH54/M6WEMb0YCMvx4a9khAo+mI9JFJnwRJw06sR9GMj0LdEXj3/thYKAhv/UH6JI25UXrX9IQ9QUqFNR2R+xhsluwd2xYIB61zHclSGrAnpch6w+6CtLHSZ6f5qARe/XVSXjB1LKSOkQCQUkopNUjpp5RSSiml1CnU4A1Q5YsPxHRy8KK1LFmy9WBDTwMxWUPkZ0cHR9qWJRuIptSmGeu/oP1hlFInwzDkjHmQA8XRfcuJCLZAw175PVr2TJ1R3E47D9w6mzR3x8/9gtHZnDs2p934ldMKKUq3luC65/nteAOhnm3YlS4BmdyF8nkeDkhmTOXKEy9Xdt63YPrN1jFfC7z+czi2BFo6KZ/WEcMmwcz8CyQzxeaIBWEMu2TOJBdLD5y+DsLE34/kYiknGO0D5dkd6WHT0n/bVUoppU6SBmKUUkoppU6hHaXWkhpOu8G4/E76EUQDLo7Ujsfb9jFoKIfGMuu8zEjAw5nRft3+SJkSV1b3d7ovBOolw8fmkBr0Sil1MhKyYhkvNRtP/IBs/XbJDkzIlv4W6ow0PDuJ33xkRoe33X3ZBIwOTlhw2m189aKxlrEjNc388e19vdt4QpYEMzImR/of1ULl8t4FTaIMA675I4xcZB1vqIHX74fyFVJirDdsDslMKbhYgiFFl8GQKyD/fClHNlDBS7tb+kBlzZJsXn+9ZMf4qgdm+0oppVQvaSBGKaWUUuoUig/EjM1LxeXo5CtaR71gQn4I+eT3tgGasi3WZZ1JkJov5UUcie3XHa0XnzBAgRhv5IBSQq6WElFK9Y30yXImftgPNes7byjeGW+VlIMyDMiY0j/3UZ02LpyYzxfPH20Zu3xKATOGZXS6zE2zhzGn2Npn7cFl+9lX0cs+JoYBKaMkuJGQJZkn1WtjvYt6w+6Ej/wTcsdbxyuPwDu/g+p1klHS28b3NoecAGJz9v4+9aWkIRK4cqbJe79qNTQeOrX3SSmllOqA/terlFJKKXUK7YirQT9lSBdN6zsqQdaaJZNkPQu1dJN12bxxYLNJ6bF4wRbJTjGMjrNl+kNLJFsnUcuSKaX6iGGDrDmRs+NrpYdET5lhqN8qvyeP6LiXljrj3HXxeL5+0TiGZiZy6eR8fn7jtC7n22wGP/nQVBxt+scEQibffXYbZm8DHRDJ+pgf61VUv1N6s/Q2yOhOg9uehZS4fjWHN8Oax8CzR4KX4R6WURtsHEmQe44EZUwT6rZKWbfe/p2UUkqpfqSBGKWUUkqpUyg+I6bT/jCmGesR07YEWbCT/jDHN1ivZ4+MzMtov+5oWTJnOtjs3d/pkxVokACSYUBCN02MlVKqNxxJkDlDfm88EAv6dsUMy4HbQCPYXJA2vvtl1BnBbjP46kVjWfGtC3jwY3NIdXef/TG+IJXPnDvKMvbewRqe2dDLEmBRhk1KfmVMlc/N5uNQtUZ6yPRG+hC49WnJkG1r+xLY+pJkg1WtlBMz+lqwGeq2y6XxEHgr+76fi80uZcrSJ8nfqemIZBH19u+klFJK9RMNxCillFJKnSLeQIj9VU2WsU4zYoJNcrDQsIO9zUGUQAflykwTjr1vXT4ncjatK6P9uge6P0zzMfnpzge7a2C2qZQ6cyQWQGqkpFTNevDs7fzM+JBPShk1HZHrGVNOfaklddr7yoVjGJJhLQP6k1d2UtXoO/GVpoyA7HmS/eqrhspVvQ+aFE6DjzzWviToe0/CjjcjfVaWg7/uxO9nW+GQlD0rf0cCo40HoHYT7HwY3vkirPoOlLwJjQelROqJZA3FSx0NWXPl+5K3EipXSiBIKaWUOsU0EKOUUkopdYrsKmsgFI4ddDAMmFDQSSCmtSxZqkxsN95muboj0FRpXT57qPzsMBBTG7mtg7Jlfc00Y4GYpKH9vz2l1JkpbQIkFkoAxrMLKlfEAtdR/nppgu6rkeBLztlS2kipk5TkcvCjaydbxmqa/Hz/uRMsURblzoHchdLvLeCJBBmaul+urTEXwVW/aT++6h+wNxLcqVwJzSUnfj8BWsqh4l0pe2aGwZYCB9bBSz+E5++HlU/DG3+Cv90Mj10Pr30F9vxLMnNONiCTmB/5O7nlfV+5IvZdRymllDpFHN1PUUoppZRS/WF7Sb3l+sicZJITOvl6Fuwk86WjjJj4bJjETEjLB0dy+zO9w8FYMCdhADJifFVykMfmlIwYpZTqD4YNsudI4LduW+RM/2WRht4BMIPS2Ns0Zd+YfRY4U071vVYfIBdOzOeyyQW8tj1WHu/VbWW8tKWUq6cXnfiKnWkSZKhaI5kelSulj0zbsqXdmf0JaCyHd35qHV/6gJQuGzFDssmCDSdWqq/pMNRukd9tCbBnDax6APwdZKYEA1B+QC4bX4ThU2HOx2DsNeAusJ580huudMg7F6reiwStVknpssTCE1ufUkopdZI0I0YppZRS6hTZdtxjuT6ls/4wYM2IiQo1gxlqX67s2DrrsgWT5UBGRxkv/trIgchEOXO0v7VmwwxpXxpFKaX6WtJQyF8sgV8zLCWXgk1Sksw0ZTzvXA3CqH7x4+umkJlkPQHiB89vo7LhJEqUgQQPc8+RoEy0vF5vM2PO+xYs+mbcoAlv/RqO7JKrnj0SkAmHer7e5uOxIEzKCNi9Ad79VcdBmI4c2QrP3A1/vwLW/gyaS3u+7Xh2twStou//6nXQsO/E19dTZlieD28FNB2VrLtwsP+3q5RSalDTjBillFJKqVPANE1W7quyjE0u6qQsGcQyXxxt5vgjGTXx5cqOxwVi8iK9ErosSzYA2TDhoJQcAS1LppQaOHY35JwVORjql4w8mxNsroEJQKszVm5qAj++bgpfemJj61htc4DvPbeVP982G+NEsz1AypPlzJcgTMAjP3MWyokVPXX+9yDkh5W/j42ZYXjjPrj4+zBigpQoCzZD9tzu3y8tZVAbeawpI2D/elh6fyf33yXb7kzFAXj1Z7D67zD9apjzJUgd2fPHFmVzyH2v3y69aOp3SpAkY2rfnhASbJZeUy0lkRNlOiiv5kiW72IpIwemHKxSSqlBZVCfhnjvvfdiGIblUlBQ0Hq7aZrce++9FBUVkZiYyOLFi9m+fbtlHT6fjy9/+cvk5OSQnJzMNddcw7Fjxwb6oSillFJKWewpb+RIjfXs0IVjcjqeHA7FznRtW4IsUCc/2wZYgj4o3WxdPntY+3lR/prIbQMQiPGWSQaPI1kPQCilBl5CFiQWQEK27Es1CKMGwFXTirhyqrUc1uvby3lu0/GTX7ndBTnzJKMr2CLBmJC358sbBlz0I5j3+fa3LfkxHNguAUt/HVQsj50A0hFvlWTPmKacbFF6GF76evt5Q6bChV+HL74Nn3sJLvk2TLwQnJ0EkOrKYelD8Ofz4I0vQsPhnj++to8zY4pcDEMCJifSXyeeaUqgqnI1lL0FDXtlnaYp2crONEjIie1rgk2SMVSxQpbxVZ/c9pVSSp1WBn1GzOTJk3nzzTdbr9vt9tbff/7zn/PrX/+af/zjH4wbN4777ruPiy++mN27d5OaKmU7vva1r/Hiiy/y5JNPkp2dzTe+8Q2uuuoq1q9fb1mXUkoppdRAWrKjzHK9KN3deUZMtD+MPUEOukT56+SnMyM2VrY17gxTA3KGy4EHZ1zpM9OMZcQMRH+YpqPyM2lY/29LKaWUGiR+dO1k1hyoprop9vn87ae3kp/qZkFnJ2H0VDQzJhpYqFotZcvie8J1xjDg0v+V39c8aL3trZ9C4P/BpIUQbJSm94lFkFwc+97gq4HG/ZINAxLsbGiBpz8t2TVtnfM5mP8Va3nSonPlhJO6XfDen2DLi9DSQcCnqR5WPQ7bXoOzb4GZX4KkgvbzupIyUk4GqdkQCS4tk8yY3mbpmia0HJfSbW2DOe5cSBouwV57gnWZkE8yl1pKoPmo9MyrrJK5GVN71+NHKaXUaWnQB2IcDoclCybKNE1++9vf8t3vfpfrr78egEceeYT8/HyeeOIJPv/5z1NfX8/DDz/MY489xkUXXQTA448/zrBhw3jzzTe59NJLe31/mpqaSE1NbU0h9vv9BAIBHA4HCQkJlnkAiYmJ2GzyBSMQCOD3+7Hb7bjd7hOa29zcjGmauN3u1kBSMBjE5/Nhs9lITEw8obktLS2Ew2ESEhJwOORlEQqF8Hq9Xc6NCoVC+P1+DMMgKSlWo97r9RIKhXC5XDidTst6ezI3HA7T0tICQHJycutcn89HMBjE6XTicrl6Pdc0TZqb5SzkpKSkds9nb+b25Lnvi9dJR89nX7xOos/nyb5O4p/P3sztzXN/sq+Tts/nyb5OOns+T/R10tf7iKhgMIjf7z8l+4gTee51H6H7iDNlH7FkRzlmKIAZCmHY7Fw4YVjrOto99wEPgUAQfygFu9crz6dpgr+OpmYvpDhJDIdl7rF1BEIm/hDYbeDOHw2uJHCm0dzitT73wQaCfh++oIkt4CCxzTGbPt9HBFvAV0VLi49wagYJwaDuI3QfcVruI7xeL01NTWRkZHQ793T+HjEY/tfQfYTuI/pqH+H1egkGYz06Bvp7RIoTvnfJKL72360YdlmvNxDik39dwV9vn825E4ee/D4iGowJNNJ0dCVkzyExKann+4iL78fmTIblv7Z+j1j2Cwh6YebVNNcdxWzah7vhMHZ3OhhOgs1V+PwBbIZBYvYoCLjgXzfQ3NIibZgcYLcZMOvDBBfdhy8QxOb1WZ97n59wwggSLvoNjvlfgvV/I7Txebw1ZdgMSHTGSri1VFcSfvn3JKx/Dsfl98CYGwmFwz3fRziz8SbPwajbQhJNULMRvBV4XSMIGQldP/fhEHhL8VVuI+hrwOmw43InQ8oIwu6htAQAE5LbBGEsrxN3LrhzMVPG0FyxDZqPkWRWYVQsg9Rx+BOGEQiGdB8RDOL1emlpaWl9LtrOPd2/R5wpxyP0e8QH/3tE2wSHD/r3iJ4+990yB7F77rnHTEpKMgsLC80RI0aYH/nIR8z9+/ebpmma+/fvNwFzw4YNlmWuueYa8+Mf/7hpmqb51ltvmYBZU1NjmTNt2jTzBz/4QZfb9nq9Zn19fevl6NGjJmAC5vHjx02/32/6/X7zhz/8oQmYn/rUp1rH/H6/mZSUZALmnj17Wsd++ctfmoB58803W+bm5OSYgLlx48bWsQceeMAEzKuvvtoyt7i42ATMVatWtY794x//MAHzwgsvtMydOHGiCZhLlixpHXvqqadMwJw/f75l7uzZs03AfO6551rHXnnlFRMwp02bZpm7aNEiEzCfeOIJs6mpyXzuuefMN9980wTMMWPGWOZefvnlJmA+9NBDrWNr1641AbOoqMgy9/rrrzcB83e/+13r2Pbt203ATE9Pt8z92Mc+ZgLm/fff3zp28OBBEzAdDodl7h133GEC5ve+973WsYqKitbns6mpqXX8rrvuMgHzrrvuah1rampqnVtRUdE6/r3vfc8EzDvuuMOyPYfDYQLmwYMHW8fuv/9+EzA/9rGPWeamp6ebgLl9+/bWsd/97ncmYF5//fWWuUVFRSZgrl27tnXsoYceMgHz8ssvt8wdM2aMCZjvvvtu69gTTzxhAuaiRYssc6dNm2YC5iuvvNI69txzz5mAOXv2bMvc+fPnm4D51FNPtY4tWbLEBMyJEyda5l544YUmYP7jH/9oHVu1apUJmMXFxZa5V199tQmYDzzwQOvYxo0bTcDMycmxzL355ptNwPzlL3/ZOrZnzx4TMJOSkixzP/WpT5mA+cMf/rB17Pjx463PZ9u5X/7yl03A/Na3vtU6Vltb2zq3tra2dfxb3/qWCZhf/vKXLesYbPuI6Pvz4YcfPmX7iOjYu+++q/sI3UfoPqLNPuJolccs/tZLZsa58lpNmXaJuWTr0c73EZUbzV9+/5PWfURTtRk49IyZk5Vm2UeE/vMJ8y9XuU3AvHa8www9ebMZOPSM6a9c3/57RO0e85HffnVg9hE1O8zAoWfMRfNn6D5C9xGn7T7i0KFDZ8z3iOjYqfxfQ/cRuo/oy33EnXfe2fp8nKrvEfM+9Gmz+FsvmcXfeskc9vX/ts5dtu1Q3+wjmirNwOHnzaTEhBPeRwTfud/yPcK8J80070kzgy983SwePlT2ES/80gwcesYMHHrGfOS3X5d9xAXnmf7KA2b4l+NN8540c1KuzQTMd25PMkP/vNb0tzT0fB/hbTZfeUr2U9OHuFvvg3lPmnlesd0EzP/cmGiGf5RlBt/8uvnuW2+c2D6iepsZOPSsGTj0jHnDFfL6+92vfmL6fb64fUSa6a9cbwaOvGgGDj1jfuyG82Ufce83TL+3+aT2Ec1Hl7b+Le+64ybdR/j95tNPP20C5qxZswZ0H/FB+l+j031E5KLfI3q4j2gzV79HtN9HRI85NTU1nRHfI7raR1RVVZmAWV9f32W8YVBnxJx99tk8+uijjBs3jvLycu677z4WLFjA9u3bKSuTtNf8/HzLMvn5+Rw+LDVDy8rKcLlcZGZmtpsTXb4z999/Pz/84Q87vO3NN98kPT0dgD179gBw9OhRXnnlldY5oVAIgHfeeaf1Pu7YsQOAkpISy1y/X9KTly9f3nrft27dCkB5ebllbjTKuXLlSioqKgDYvFnqwFdVVVnmNjY2ArBmzZrWKOb69esBqK2ttcytr5fU33XrYs19N23aBIDH47HMra6WOqYbN25sjRC+//77gERL285tex+j4wcOHAAkoth2bvQ52b59e+t4SUkJIFHUtnOjfX527drVOh69X6ZpWuZG/6Z79+5tHY/+bQBeffXV1uhn9L4dOHCgdW7bM6feeOMNUlJSWtcXXX/b7ZmRpnxvv/022dnZrfczer/bzg0EAgAsXbq0dX3RPkdlZWWWuV6v1PpdsWJF698l+txXVFRY5kaf79WrV1NXVwfI8xX9O7Wd6/F4AFi7dm3razH6Oqivr7fMra2tBeR1FI0CR1+rjY2NlrlVVVWt9zF6xmj0MTY3N1vmlpeXt64rOn7kyBFA3h9t50Yf+44dO1rHo8uHQiHL3KNHpQTOnj17Wsejr3XAMvfgwYMA7N+/v3U8+jcHeP3111sj+Pv3729dpu06ogbbPmLbtm3Aqd1H7Ny5E9B9RHT7oPuIM30fsbUlA4idQWS3gWfvel6RRdvtIzJDu1rvb3Qf4Q5Xkh4+SCAoc6P7iIv2Lrdsb5/HpGbdOupt1e32Eemh/Rw8II+tX/cRL79MTngrdtNLnUfug+4jdB8Buo84Hb5HDIb/NXQfofuIvthHACxZsgQ4dfuIIls9+dlhNlVb2/V+5h/vc+d0JyNST34f4Q7XEA5LSbBVbz/LjoLxrY8p+hi73kdM5FjmWcAyy3bt6x8m1CivqVW7QjQEqzEIsfmQ7I+qq6rxPnQFqd5Sy3KexEJeTfwwwdff6t0+Yrv83Rud2ewccT7Dy1aS7LX2VDFCQezLH6ap9kXgBPYRy/fhNJtICR+npkZef0d2LGXdiz5MDI6VyussFPCxfunTAISNBMpq5CzoXQereOW1N+Txn+A+4pX3Kkmx1ZMWPkxZibwuj+7fzCsvvwSG7YzcR0Tnxn8+6PcI/R6h3yMG1/eI6GfqkiVLzojvEV3tI6Kv/e4YZvQZOA00NTUxevRo7r77bubNm8fChQspKSmhsDDW+O6zn/0sR48e5bXXXuOJJ57gk5/8JD6fz7Keiy++mNGjR/PnP/+50235fD7Lch6Ph2HDhnH48GEKCgo0zS8y1zRNlixZwgUXXEAoFNI0v06ez754nWiaX+/nnumpwOFwmCVLlnD++ecTjpQs0lRg3Uec6HOv+4i+3Ud85rENLNtb3VqabGauwb++elnrfY5/7o2yNwj4mvGlzcWemC3PZ/1WjKbDNFIA6RNlbks1zt9OtJQUcdzwE8gaipl7Hs0Bu+W5N8rfIuhrxJsyA1tiXv/tIwwPRs37YHPSnLaQsGnoPkL3EV0+n4N1H+H3+3nppZe44IILtDSZfo/odK7uIwbfPsLr9bJs2TIuv/xynE7nKf0eYdgdfPnJzby5swIzIMccDGcCLoeN710xgRum5xGMlO884X1E6QaMpgMkJroxcs8BV0av9xGB9x/GteR7JLY5fbc5YBIasRjnpT/EXjgl9nw2VON86mMkV26wzA3njMLx8aexpw0/4efeZrOR6DTBsxPb1qfwvfdfzKZaEhzgsMnfIRQ2aUnKJXTdn0kavbjL57PT10ljFSHPIRJC5TjtZuy59/rBsJGUNUJ63Lly8Pn9fb+PCPnwV20i2HBUSp4lZWJmTMd0Zpxx+4iWlhZeffVVLrroItLS0trNPZ2/R5xJxyP0e8QH/3uE3W5nyZIlXHzxxQQCgQ/094junnuPx0NOTg719fWW/Va80yoQAxJEGTNmDP/v//0/Ro8ezYYNG5g5c2br7ddeey0ZGRk88sgjvP3221x44YXU1NRYsmKmT5/Odddd12nGS0c8Hg/p6end/kHPNNGo7xVXXGGp3amUOvX0/anU4NToCzLrR0vwh2INbG8fG+J7H7+84/dqyAelcrYlRVeALZJJU7FcGs1mzZKmtwC7X4V/3Rxb1pkEH3sAHAlQeJk05I0KNkPZWzJWeBnY+jFRunK1NKVNHQ3pk/pvO0r1M/1sVer0NNjeu75giM8+up5leyrb3Xb9rCH85LqpJLrsHSzZQ6YJ1e+Dtxzsbsg7D+yu3q9nyxPw7JfADMXdYMCUG2D85bDndfn+4W+wTskogo8/C1kTTvhhtBNogJrN8M4vYdc77W93J8OHH4JRV5z4NsIhCDUBRuQC2BPANkCvm5ZSqNsq3/8AUkZB2riB2/4gMNjer0qpjul7NaancQNbp7cMQj6fj507d1JYWMjIkSMpKChoTYMCieAtXbqUBQsWADB79mycTqdlTmlpKdu2bWudo5RSSik1kJburrQEYZx2g0kZXZwXE5B0bBzJsSCMGY6NuzJic4+9b122YLIs48ywBmFAAiMArsz+DcIEPLItw4Dkkf23HaWUUuo0keCw8+Btszl3bE67257ZcJwP/WklJXUtJ74Bw4CsmfLdIeSF2k0SnOmtaR+Fmx4Ge/wBNhO2/Ree/jRs/U/7IExSJtz8aN8GYQCcqZB/Dlz3EJz/ZTnRpC1vE/zrE7DjiRPfhs0OzjTZljNFLgMZBEkshLzFkDRUrjcegLK3oenIiT2HSimlBo1BHYj55je/ydKlSzl48CDvvfceN954Ix6Ph9tvvx3DMPja177GT3/6U5599lm2bdvGJz7xCZKSkvjoRz8KQHp6Op/+9Kf5xje+wVtvvcXGjRu57bbbmDp1KhdddNEpfnRKKaWUOhMt2WHtU3f2yCzcXcVBgpGDG842Z9YEPBKMsTnlIEvUsXXWZfPGys+2wZqo1kBMdo/u9wlrlJrXJBaCI7HruUoppdQZItFl5++fmMvnF41qd9uusgY+/OBqjtb0rOZ8h2xOyJ4Dhk0yYxoPnNh6Jn0Ibn4c3Kk9m+9KkqyUgrkntr2ecOfAOd+Dm34nmTdtBXzw9Fdg/R9P38CF3SWBtJx5EggK+6F2M1QuB19198srpZQalAZ1IObYsWPccsstjB8/nuuvvx6Xy8WaNWsoLi4G4O677+ZrX/sad955J3PmzOH48eO88cYbpKbGviD85je/4brrruPDH/4wCxcuJCkpiRdffLG1rpxSSiml1EAJhMK8vavCMnbRhNxuFopkvjjbHADx18nPtgGWcAiOx2qzA5AzPDIvq/16o//IJ7Q/G7fPhPzQLM0qNRtGKaWUsnLYbXznion8+bZZpCRYz8o4VtvChx9czcGqphPfgDMNMqSXC56d4K89sfWMvQy+tA7O+jg4OzupwoCiyXDz32HEAJz4anfDuI/I9vLHWW8LBeDlH8Dqn8r3o9OVO1fKymVMluxlfz1UrpKSryf6XCqllDpl+rEOxcl78sknu7zdMAzuvfde7r333k7nuN1u/vCHP/CHP/yhj++dUkoppVTvvH+wBo83aBm7YEIeG1d2sVBrIKZtRkxdZCwjNla5u31pkOxI75iEuEBMsElKlRg2KU3WX5oOS+aOK6P9fVBKKaUUAJdNKWRsfiqfe3Qd+ytjgZfSei8feXA1T3z2bMbk9TAjJV5ysWTBNpdAzXo5sH8ipbZSCuCKP8D8r8Ky+2HbyxDwQsF4GDUPxl0EudMhefiJ3c8TYdigYB7c8jj89zNwbEvstnAIlvwSgl5Y+F0J3JyODJv0iUkcAg17pESZrwoqVoA7T/rH9Od3OaWUUn1mUGfEKKWUUkp9kLyz25oNM3VIOoXpXRwYMMPSmBasgZiOMmKOrbUum1YkNdqdae0PuFj6w/RTlrAZhqZD8ntK+7IrSimllIoZnZvCfz4/n4mF1ia/FQ0+bvzzah5ecRBv4ASzOzKmSynTYIv0izkZmWPgmofgK6vhy0vhEy/BRb+GEVcPbBCmrYzx8JFHJSDUlhmGt/8Ay74f++40UExTslYaD0FLmZwEczKl0uwJkDEV8s+Xv7NhgLdCAjIVK6Cl9PQtxaaUUmeIQZ0Ro5RSSin1QbL+sLWMxPkT8rpeINgY6QXjAHuSjIVDMg7WQMyhuLSagonyM6GDHjCtZcn6sT9MS6lk3djd0h9GKaWUUl3KTkngX589m489vJatx+tbx+uaA/z4pR38ddkBvnzhGD48ZxhOey/Oq7U5IGs2VK6QoEDjgZM7ScIwIHWQlRxNHQk3/A1e+CLsfqfNDSYs/YuUK5v/DUge1n/3wTTl7+stg6rtUL4HmmshJQfyxkBShpwgkzrmxL8bOZIgc7qso2EvNB+XgE/1OrktaTgkDZHflVJKDSoaiFFKKaWUGgC+YIhtxz2WsTnF3ZSSiJ696cyQgx4AgXr5R9/ujpXZME04tMK6bEGkXnqH/WEiGTH91R/GNOXgAEDyCCmroZRSSqluZSS5ePwzZ/OJv69l45E6y21lHi/ffXYbD684yP/eMI25I3pR9tOVDumToG4b1O+U7wdtT+gYSKYp32cMu2Tq9NX3hOQhcN2D8OKXYMcb1ttW/F2CMWd/Qf4OfbXNcEBOcGk4COsehIProK4CAr72c9PyIW8sjDsXRi6S/j3OtPbzesKRDJkzIG0iNB6UcrDBZvDskktClpQzSyyUbBqllFKnnAZilFJKKaUGwI4SD/5QuPW6YcCM4RldLxRtxNr2QEm0P0zbsZoD0FBiXTYvcqZqfG+WQCOEfP3bH6alREqq2ZyQMqJ/tqGUUkp9QKUnOnns02fz/57azKvbytrdfqCyiZv+vJqPzy/m7ssmkJLQw0M7KSMlaNBSGukXs+jE+sWcjGAL1G4AX41cNwzJ+nWmSj8bdzfZwt1JzIer/wT2r8LWl623rX4cwkGYcztkzTrxvjGmKWXBmo9IRsqu12DTK9BU3/VynnK57FsBw1+HebdC4VkSGLKd4OE5ewKkT4DUsfL9q+U4eCvl7+urgbqt8l3QXQCJBRLAUUopdUpoIEYppZRSagBsiDurdUxuCmluJ4FAoPOFOuoF0zZLJupwXFmy5BxIL5R/tuMPMrT2h8nqn0wV05RmsgApowf+AI9SSin1AZCS4OCB22az/nANv3pjD6v2V7eb8+jqw7y5o5yfXD+V88f3MICROV2yUYLNULsZsuf08T3vQnMJ1G2RLBLDLkGYcFD6pwSbpKxXQhakjgf3SWTtJubCFb8FuwM2PW+97b0nIRSEWR7JSEka2vP1hvzQdBCajkj51aObYM2jUF/R7aLtHNkAx7bA1Mth7q1QsOjkgiQ2u5RdSx4m9635uARm/HWxoEz9DvlOmTQUEos0U0YppQaYBmKUUkoppQbAxiPW/jCzhneTjRIOQbBBfm8bdOkoOBNflmzIDDm4EZ8NA/1flqzluGTd2Jxy5q1SSimlTtjs4iye+Ow8Vu2r4mev7WLLMWvWRUm9l0/+/X0+NHMI379qElnJrq5XaHNKNkjlSsmMaTzY/5/XZlgCME1H5borE7JmSuAh5JXvDd5yaDoUCRqslu8pqWNPPCCTmAeX/QrsTlj/X+tt6/4LwQDMvlGCQ5nTus6OCfmgcT80HgIzBEEfvPdP2Pl2N/chEzKKoWoPBJrb3x4OwuYX4cB7cPHXYdyNJ58RBPJYUkfLJeSVAFdLKfir5Xukvw7qt0NCrvQKcuee/DaVUkp1SwMxSimllFIDIL7O+8zuypK19oJJAEeijIUDcsYoxAIxHfWHKRwfmZNtHTdNKUkCkBB3W18ww+CJZMOkjjnxMhtKKaWUslgwJodn71zI31ce5Jdv7MYbCFtuf3bjcZbtqeSeayZz9bRCjGhvuY64MiP9YrbLAXlHsiUAUNPk56l1R9lT3sjFk/K5dHJ+1+vrjmePBGEMA1LGQNq4WFZutOedO0cCBw17JePEVyUXV6YEZBLze79ddy5c/DP5PvL+k9bbNj0vZcIWfVYCFO48SMiTZWwJcjKMv1YCQy0l8h0HoLYc3voN1B3reJtFM2HOxyB3JCS4IewFWyJ4qqBkO6z5CzTHZTc1VMBz34d5u+DsL0Ha2FhvwJNld0uZ2JQRElBqKYHmYxKM8VbIxZkiAZnEoZJZo5RSql/of8dKKaWUUv2s3OPleF2LZWxWcTcZMdFeMJZsmEhWjSM5VvKr9iB4jluXzR0hP+MzYoINEPZLOZD+aNDbfEwCRTYXJGs2jFJKKdWX7DaDz5w7iksmFfDtZ7a0K1dW3eTnK//ayI9f2sGC0dksGJ3NyJwUPC0BPN4Ajb4gw7KSWDwuFyNlFPjr5bO7Zj3kLuRQvZ2HVxzkqfVHWwM9T284xg2zhnLfdVNIdJ3AQfpAg2STAGTOhKQhXTxAN2RMlWBN4z4JyPhroXqtNLVPn9T77A13Llz4Y3A4YfVj1tsOrIH6MrjoK5Kd0hzpt2fYJfOlLcMNW16DtX9vfxtAzjiYewsUjYkEUZrAHzl5hiZwA6Mmw9Cfwba3YNN/ZZtR4SCsegTKdsPF34H8c/r+hBZ7gmQ/pYyU72uNh6TPTaARardA/a7Y7VpaViml+pwGYpRSSiml+ll8WbLUBAdjclO6XqjD/jCR9bjaBHHis2GSsiG9IJJJE1drvDUbph/6w5jhWG+YtLF6RqVSSinVT4ZnJ/HPz5zNf9Yd5b6Xd9LgDVpur2zw8fymEp7fVNLh8hdNzONXH55BeuZ0CLVQWVvNfa+v5IU9YUyz/fynNxxjR6mHP982i+LsXvQxMU0pSWaGpVF8V0GYthyJEpBJHQeNB6RkWcADVWtkPemTetdPxZ0Hi74vwYWVf7PeVn0Inr8XLvwWDJ0MoUYJtNgccjKMMwMOvQ9v/RQaSju4r25Y8GkYczbYbPL9ypUBznQJHtmTYtk10e9xs66C0WfBir9D6Vbr+g6sgX99Hi69G8Z9RLJV+oMjGTImS3ZS81EpURdsBs9uaNgHycWSodRVyTallFK9ooEYpZRSSql+Fl+WbMbwDGy2bkpOtAZi2gRdehKIGTor0h+mg9Jj/dkfpukIBFskAJRU3PfrV0oppVQrwzD4yNzhLB6fx/ef28YbO8p7vOybOyu4+g8reOC2WewsKeLHL9ZS7wt3uczOUg9X/WEFv7xpOpdOLujZhpqPSmkvww7pU3p8/1rZEyB9IqSMlpM9mg5JvxNvhYylje95Ca/EfDjn25CcCe/8HwS8sdu8Hnj5u5CcC9NvgTEXQFMNVG+Gg0vh8KqO15k/CRZ9EtIL5X4kDZMyao6kuIk5QCRT2Fsh5eDSgcu/Aeufg83PWad7yuCZu2H+DljwTUgq7NljPBE2p5QlSx4pZcsa9knQq/EANB2ExCLJkHF1k8mtlFKqWxqIUUoppZTqZxviMmJmDsvoeoG2vWCc6fLTNNsHZ7rsDxNXlswMg7dSfk/o46as4YCcQQly9qpmwyillFIDIj/NzYMfm82r28r4xeu7OVjV1P1CwJGaZq76w4oOM2AAHDYDp91GSyBWhqvBG+Tzj63nmulF3HP1JLJTEjrfQMgH9Tvk9/QJsX53PVTT5GfNgWpW7a9i7cEavIEwt8wexWem1OMMVEkvmUA9ZM3qeRmtxHyY+XkJnCz5NdTFZQw1VcKq38ulKzYnzL4Rpl4m33mShkhQqCdZOu48OSGm6bB8d5p7I+SPgaUPgq8hNi8UhBUPQel2uPgHkHdW//beMwx5HElDJFjUsE8yqZuPy8WVIVkyiUXaA1AppU6Q7j2VUkoppfpRIBRmy7F6y9jM7vrDRAMujmSwu+T3YJMEPAw7OFNlrKP+MHmRMy7jM2J81VJqw+4GV3rvH0hXGvZJ7xlnCiQP79t1K6WUUqpLhmFwxdRCLp9SwOHqZlbur2LV/mrWHaqhyRciPdFJWqKTkroW6lsCrct1FIRJdZl8dEYKn7jgLJoDYe54bD17Kxotc17YXMLyvZXcc/Vkrp1RhNFRVkr9dvne4krvsm+caZpUNvrYX9HE9pJ6tpd42Ha8vt02Af53yUFe3JbGz6+ayBT3HgkYVK6E7LM6yELpRGI+jL0JUvLgnT9I2bHeGD4XzroJMorkO1XmjN73rTFskmWSWCT9eYbPgOt+BEv/CmU7rHP3r4bSW+C8L8CMz3ac8dzX3Hly8ddLVkzzcflu6q+Duq1SHi5xqDzuvi51q5RSH2AaiFFKKaWU6kc7Sz34gtZyH91mxHTZHyY99k9vu/4wOZCWJ2dqOlKtt3kr5Kc7r6d3vWeCzVK+AiBtkv5DrpRSSp0ihmEwIieZETnJ3Hp2+zKhpfUt3PnPDe1KpkZdPSWLe86uISexAcy9kDud5764kG8/s5UXN1uzR2qbA3zt35t4esMxfnDVJMbmt/ne4a2Qg/eGARnTLeXDwmGTFzaX8NKWEg5VN3OsthlvoOuyaG3tKPVw7cMNfG7hEL46rRx3oAEqlkP2XOmB1xOuDBhyCVyWDrteh51vQvmerpdJzYezb4XimfJ4kodLr5qTaWpvT4Cc+eDZKdcvvxs2PNe+VFlzHbx6P+xcItkxhQtObrs95UoH1wxImyglaFuOQaARmkvkYnNEgjYF8nMg7pNSSp3GNBCjlFJKKdWP4g92jMpNJiPJ1fVCgcgyHQZiuuoPEzk44MpsXzPd10+BGM9OKXuWkCNnmSqllFJqUCpMT+Tfn5vPfS/v4NHVh1vHC9Lc3HfdFC6alA8tpZKl0XQEbE6S0yfx+5tnsGhsDve9vNOSUQOwfG8Vl/1uOR+fX8zXLhpHegJQu1luTB5pycI9WNXEt5/ewnsHa07qcYTCJg8sP8ZrOxL52YUOzs5rgqo1kDu/571MHImQdw44k2HMAqg9DrvfhYNrpT9MWgFkjYCMYZCRB8UzwOkGZ5oEYHqbBdMZw5D1uTKhdlPnpcoADq2DRz4Ms26ABXdB6uie98g5GfYESBsrF389NB+TfjIhbywoYxjgypZsGXdBr0vRKaXUmUADMUoppZRS/ah9f5geHCCIZsQ4M9qMxQViTBMOrbQuF+0PE39wINgkZzAaRt/2h/HXyj/fABmT+269SimllOoXLoeNH107hfMn5PHCphLG5qdw27xi0tyRbIbEQsiYJsGUhv1gODDSxnHTnGGcNz6Xe1/YzitbyyzrDIVN/r7yEM9tPM4Fo5wsLPCyYEQSeQXjafQG8LQEeHlLKb9esqddlnBXEp125o7MYm5xJi9tKWV3uTUwcbC6hY/8B26bnsi3zm4hteo9yF0gwZKesDkkk8ZXDe59kDkE5t0K4TDY4jJ8HYmQNgESh/Q6+NHkC7L2UA2r91dT1eDj6ulFnD8h7sSYxELJZq5ZJ6XKPvRjWP0kHF5jnef3wpp/wvbXYMGnYcbnILGPe/91xZUul/RJ0qOnpQy8ZRBoAF+VXNgmz0E0KNPXJXGVUuo0pYEYpZRSSql+FJ8RM6s4o+sFQl65GAY4I/+4hkMQjBx8iAZiag+B55h12dwR8jM+2BItS+bK7tsGq3Xb5Wfy8J4f9FBKKaXUKXf++DzOH99JlmzycDCD8jnv2S1jaePIS3Xzp1tn89q2Mu59YTtlHq9lsdrmAE9vC/D0NhvgxWa8TriDPjQdcdltjM1PYUpROlOGpDF5SDpTitJxOSQg8vnzRvPAu/v54zt7CYSsK318s4+39tv5yeIAFxhrIHeh9NnrqYRsuQQ8Um7VXy9ltmwuuTjT5G/Si/KrwVCYf609wnObSth8tI5gmz/EMxuP84kFI/ifKya2Pj5Aeu3lngt1kYyii74Ih8+DlX+BFuuJPTRUw+s/h43/gbkfgykfh8Q+znruimFI5rYrA9InyEk/0aCMv1b+lgEPePZIEMtdCMnF8hiVUuoMpYEYpZRSSql+UtXo40hNs2Ws24yYaDaMIxVsdvk9UCcZMHa3XAAOvGNdLikb0vPlducA9IdpLpF/tA07pI3vu/UqpZRS6tRLGSXfPep3WIIxAJdNKeDcsTk88O5+/rL8AP5Osly6CsIMyUjkSxeMYVROMsOykshPc2O3dZ5p4nLY+OpFY7l8agHfenpLuxNdShtNPvWSjWvH+fnB4lVkF58b+87UU840yJzRu2U6sKPEw91Pb2bbcU+nc/6x6hBbjtXxf7fOojC9TRkvmx2yZsmJN/XbYcRUKPoFvP8c7Hyp/YoqDsHLP4bVf4PZN8K0T0HysNh3yIHiSJZSaamjIeQHb7kEZbyVEGyRAFfjAcnaTh4B7vyBKaumlFKDiHZTVUoppZTqJxsOW89eTHLZGV+Q2snsiGggprv+MPvesi43bHak9FiOdTwcipSJoO8CMWYYPDvk99QxvT/QoZRSSqnBL3U0pE+U3z27JbshIjnBwTcvHc+bXz+PSyb1vEecYcAnF47gja8v4pazhnP2qGyKMhK7DMK0NS4/lf/esYAfXDWJRGf7YMPzewwuftTH8ytWYIb8Pb5ffcEbCPHL13ZwzR+XdxmEidpwpI6rfr+Clfuq2t+YMhJyz5EMEpcbFt4MN/4RimZ0vLKa47Dkd/DgYnj2Rtj1KDSXSjBtoNldEgzKnguFl8pPd+Q14q2E6veh/G1oPCjfU5VS6gyhGTFKKaWUUv3krZ0VluvTh2Z0f6AhUCc/uwrEhIJwcJl1uSGT5Gd8fxhflQROHIntM2VOVOMBObvR7oaU0X2zTqWUUkoNPqlj5Gf9TgnGeMsgdVxrRsPw5Eb+cmkT+2eGWXEUVlZks+ZQAx5v0LIau81gTnEmd182gdnFPeiX1wW7zeBT54zk4kn5fOeZrayIC2TUeA2++qqPN/Yv5ac3LyI9KeGkttcZ0zTZXuJh5b4qVu2v5v2D1TQHOs4OctpgWp7JtkrwhWLfBaub/Nz28Ht8ftFo7rp4nLVUmSsDcheBZ5d898rIgKv+B44fhOW/B8/x9htqrIWtb8sluwiKp8P4K2DIuZA0fOAzZWx26RWTWADBZmg6DE1H5Pe6bRLcSxkpF5tzYO+bUkoNMA3EKKWUUkr1A38wzGvbrc1sF4/vpplqOAS+Gvm9bfZLfCDm+DrwxZ1pWRAJiMRnxPiiZcl6frZql0I+aNgrv6dPHPh/6JVSSik1sFLHSH+U+l3SP6X6fTm5w+aSRvfA6Gwno0dO4PaUEYTCJgcqGwmETNISHaQnOkl2ObD1MOulp4ZlJfHYp8/iqfXHuO+lHe2CPy/v8bPxN+/w61vmMm9Udp9u+1htM998ajNrDtR0OW9MXgrfvmwCC8Zkk+Qw2HZgN1/4z0GOtvkaZ5rw56X7WbGvkt/dPJPRuW36qNjskDFZAhm1m6UXS+EQuOVPcGgbrHkQ6o90vPHqErlseBUy8mDoRJjyISi+QrKkB7o0mCNJvjumjoPmo9C4XwIynt3QsE96yKSMQg9VKqU+qHTvppRSSinVD1bsq6S+JWAZu2p6UdcL+arADEWyV9JkLNgiwQ/DAGe6jMWXJcsdB0mZskx8mbBof5iEPipL5tkN4SC40iFxSN+sUymllFKDW8ooSBwqmRlNByHQIOOGLZLRMEZKUiEZK2Pz+ygLtxuGYfDhOcNYPD6Xe57fzqvbrCfBlDSEuOUva7htXjGXTM5nTnEWia6TO4nk+U3H+d6z22jwBTud47AZ3Ll4NF+8YAwJjtj2poyZxEtfHsrX/7WGtw9YvyduO+7hqt+v4L7rpnDD7KHWFSZkQ/5iCVg07IVQAwwfAeMehcNbYNUfoWoPnaqrkMu2pZDzSxh3Lkz7OOTOaX3eBozNDikjJPDSUiKPKeCJvbaceTjM5m5Xo5RSpxsNxCillFJK9YMXN5dars8uzmRIRmInsyO8kYMH7oLYWDQbxpkWyz7Z/7Z1uWGz5Gd8NkygUc40NGztbzsRgQZojpx1mT5Zm6wqpZRSZxK7C9InSO+YxkMQ9kmJUkc3328GQF6qmwdum80rW0v5n2e3UtccC3KYwGNrDvPYmsM47QZTh6RjGAaelgAebwCXw8bicXncef5oCtM7fizeQIhdZQ08suoQz27soCRYG/NGZXHP1ZOZWJjW4e3pqWk89JmLefjtjfz87VLaVjNrCYT4xlOb2VvRyN2XjrdmERk2SBsHSUOhfju0lEHLMcjPhdv+AXU1sO0Z2P4stNS2226rqmNQ9S9Y+18YfRbM/zIMO3/ge/4ZBiQNkYu3UgJMvmqMluNkh7ZhVBVB+hhILJTHrpRSpzkNxCillFJK9TFvIMQbcWXJrp5W2PVCpgnecvm9bRmx+LJkzTVQssG6bNG4yHJxpc+i60vI7psSYvU75H4mFso6lVJKKXXmsTkhbeypvhcdumJqIbOGZ3LXfzaxan91u9sDIZMNR+rajT+25jD/XneU284u5hMLRlBa38L2Eg/bSurZftzDvspGQuGOG9/nJcNFE/NZOG4I80ZlkZ3SfU8am83gsxfNYv6YI3z131vZHxc3+fPS/RyobOS3N88gyRV36M6RBNlzwVsl/WP8tZJN4nLAOZ+Bi74Ph9bAzhdg96vgbf94AQgGYPdK2LsGRs2CBV+C4ssGPiAD8h3WnQv+Osy63YAB/hqo2QD2BEgskosrU08EUkqdtjQQo5RSSinVx97ZVUGTP9R63WbAFd0FYgJ1UoLM5rAGOeIDMQeXgtnm1EmHG3JGyJmCrrjgSEskK6dths2J8lVLmTPDJvW9lVJKKaUGoYJ0N49/+mweWnGAX7y+m0Co4wBKPH8wzN9WHuRvKw/2eFvXTzD44Y0LSU1JP6H7OmXEcF76Uhr3Pbeaf24NW257Y0c5Nz6wml/cNI3JRR2s350D7nPk+5kn0r+n8YBcsrPh0u/D1b+DI5GgzLanO86UCYdg3/uw/5MwYjos/CqMukoCbgPNlQGZs6i0H8FMHQe+Egh5ofGgXOwJ8r02IVvmOpIH/j4qpdQJ0kCMUkoppVQfe3FLieX6vFHZ5KV2c3ZhazZMXqz8ghmGQL38Hg3ExPeHGTobHC5wZVmzXkLeWBAnsQ8CMZ5I3fHk4fpPr1JKKaUGNZvN4HOLRnPRxHye2XCMVbuPsLnUT8jsm2yKVJfJfefbuPacc2J9/U5QYnIGP7n5fKbkL+f7b/sIhmP3cUephyt/v4JzxuTw2UWjWDQ2ByM+I8SdBwm54KuEpsPyndJXLRebAzIL4cJvwyU/gT2vwaZ/wr43rSf2gFw/uBEOfhKGT4GFX4ax15+SgEzYcEHqOMicKGXLWkrkcYV88hibDstEm1N6KDqSwJ4Y+2lPlMweLWmmlBpENBCjlFJKKdWHGn1B3t5VYRm7enpRt8sZrYGYNkGTgEf+KbY5Jfhhmh30h5kmP+N7wESzYRKyTr7EhK8GfFVSCiJlzMmtSymllFJqgIzKTeGbl06AS8bRcHwNaw9Wc6DegTtzFOkpqaQmOHh7VwVPvn+k28wZw4BRmXbmFQX5whwbQ0ctOOkgTCu7m1suWExx5iq+8EID9T5rsGXFvipW7KtiQkEqnzl3FNdML8LlaBNkMAwJyLjz5GScpsPQfBSCLdB0VC52NwydAOMfhYZyWPFbCcqE/HF3xuT/t3fn8XFd9f3/X3f2GUkz2qzNlvcljp04e2IHspGEJARSSimQAg2FUghQKOXXb1n6JW2/LUshrE2BlrAUWig7hRBISAjZyOI4eIvXeJFtydo1kmafub8/zp1Nm2VLsiX5/Xw87uPeuXNn5mrsK9173+d8Doe3weG3Q8unYOOfw9o3nZmxgCwXBBvNZOfM+WiiE1L9prFSLm3WJcd5vTtgzqG94fJJAY2InAEKYkRERESm0a9fOE6iZNRVj8vipnUT90hx20nI5MDjNRfQeSPLknXvgeiIAWKbVpj5yPFh4k6vnOAJSqJNxuBeMw+1zooBeUVEREROiuWiquUyXuZ7kpel+sF1AGovgUA9157TwNuvWs7nf72XHzx3hJxtzt9WNVaxviXM+oUR1jVXsNa3lwq7x9zEr7/clMaaTi4vmy56KT+KPMPbvt/Fi/2je+/s6hjkA9/7Pf/yy13csWkZt1+2mEhoRI8VdwDCa0yPklQfxI6Y88JswpzTDe4155s3fAiu/ht44gvw7NdMaDPSsT3wg/8PGr4IF/8xrH09hM9QoxzLVQybwOk5PmgaLmXjxSkTM3M7Z37mbML0Diq8j9uUNgssAH8DeCvPzM8jImcdBTEiIiIi0+h/f19eluwlq+qpqfBN+Bq/3Qc0mDFeSss/jAxiRpYlq2qGcGOxLENeNml6sQAEphjEpAacsWEsqFJvGBEREZmjXB6ovwJ6njbnST2/g+oNUNFKa22If3ntBv7htvV0RBM0RwIEvE7J12wSep4y50QuD9ReWj6e33SyXCxfcRk//bMd3Pv4Ab651aI7PjqQOR5N8on7d/GZB/bwklX13LS+iRvPbaQ6VHLOaVmmZ7S/FqrXm9JeQweLvUoSnSZMuvp98JL3w+/ugaf/HVKDo/er8xD84l/gkS/DkvNh/R/C0htMI52RpdJOF8sFvoiZxpJNOsHMkAlr0lHzb5hLFX9+dpggJthiJm/Vaf0RROTsoiBGREREZJoMxNI8sqerbN0rzz9xWTK/3Q80mLILpUYGMftHBDFLLi2Woii9CM6XJfNVT70Hy6AzNkxwocaGERERkbnN5YX6jdD3PMSOmnk2BlWrwHIR9LlZVl9yvpMZhu6nzNzth7rLx7/xP10si8qG9fzljWHeftE2frQrx78/7+LFvtGbprI5HtrVyUO7Ovmgy+L6tQ287/rVrG0eUTLNcple0sFm87MMHTTly1L9JpjyVcNL7oQr/xKe+go89W8QH+MDY1F44TEzReqheTUsfymsuAki54JniuVwp5Pbb6aRPZfSUTPuTKITUr2QHoL0HjMeYiGUWaieMiIy7RTEiIiIiEyT721uK6sv7vO4uGFd4wSvAHJpfLbT8jBQsm02ZUorgLmATCfg4OPlr20+x3ldQ/n6fBATPHEINKH0IMQ7zHLVqqm9l4iIiMhsYLmg5kJwh0yZrugeGDpgzptCi0zDk8RxU84r2W3G6POETG+a09kopWIxAV8Nbwhs5nXnDvLQQfjK1hBPtyXG3Dybs/nljuP8audxbj2/hfddv4oVC8YIEzwVUL3OnNsN7TOhTKofun9nynVtegdsvBOevdeULRvuGv0eAAPdZtr1BHg/Cw1LYPFFsPpmaL5ydNnc2SI/TkzVCshliv/Wic4RoUxVSU8ZhTIiMnUKYkREROTsZNvTWkohk83xtccPlq27YW0j4YB37BfkJTsBGzxV5Rf3+d4w3krTevPFR0bU7ragcblZ9JcEMdkUpJw62FMdH6YwNowuQEVERGQesSyInGPOvaK7igPcDx8ava2/1own4/af/v30VsGCl+Ia2M71yw5z/bIYv+/285VtlfxqV39ZA6A82zalcn++9Ri3nNfM6y9dzKYVdbhcI8573T7Ti6VyBQzug+GDTk+RLggthMv/HC57Ozz3n/DsV6Fr1/j7mU7C0T1mevI7UN0ASy6CDX8CrdfN3vNIl8f8rKGFkEubUCZ2DJJdzvgzuyG62wQ3wRZzTqwe4iJyihTEiIiIyPyXTcHwAXNBVRjMM2laN/qqTekvrzM/xXDmVzuPc7S/fJDTt1y59ISvs2JHALBH9moZWZZs7wPlz7ecD4FK87y7pB54osNcgfsi5uc7VZlh0zoQ1BtGRERE5qeKVtMLJtkD8SOmV3EuY84PA02mUcuZDhFcbqjZYPZnYBsb6uP867VJBq5dwEMdC/jFzj4e2dNFMpMre1nOhp9tbednW9tZVBPktRe3smllHWubw1T6S24Huv2mh0zlMhNKxY6aKX7MjAFz8Rvhsj+H9ufh99+F7d8fv5dMXn8n9N8Pv78f6lth9TVw6buhes2ZG1PmRFxe838htMiEMvEOp1dUV3GMmeguc46d7ykzlXNtETnrKIgRERGR+cvOmZaN0d3mgmqkTMxMMSdwcPkg2GQurPz1J3Wh+NXHDpQ93rAowsVLaiZ+Ub7FHS5zoVuqNIixbdjzy/LnF19s5qPKkjk/S2CKvWGGXjSfG2gwrQBFRERE5iPLgkC9mSLngZ0tb+QyWwQbzfnp4F4Y2k/E7uLVzd28evlCBr0b+frTXXzl0RcZTGRGvfRIX5zPPLiHzzxoftxldRWsaqykOugjEvISDnhorQ1xzerziFSugOgLpmfM8GGItUFoMTSshps/Djf+I7Q9DXt/BfsehOPbJ97v7jbo/k945n/gnKth0/uh8TITMM1WLq8J6SpanVCmvViqLjVgpoEXTGAXbDGBnUIZETkBBTEiIiIyPyW6YWC76QUDJkyoWAzuoLlQcvlMHehUH6T7IdkLuZS54Bw+PCKUqTP1xMfxfFs/mw+VD2j6Zy9ZhjVRkJNLm/0Dhl3N4ClpbWnbZp/ABDE9+6CvPOihxemlUhrE5NLmAhGmVpYsm4LhNrNctfLU30dERERkLnG5gdkcELhNSbXQIhjY6ZTSOkKVdZT3XNjCmy66gK881cfXHj9IPJ0d8y1sG17sHubF7uFRz3lcFhtX1HHz+hZuXLmMevuAE8g4ZdsCC6BiCSzZBEuvhBv+HgaOmkBm3wOw/zeQGhx739NJ2PYr2PFrWH4JvPT/wOJrJzzHnhVcXnMNUbHYnCMnOkyPoVSPGVsn1W/+LXw15tpBjZhEZBwKYkRERGT+GT4EfVvNssvnXLAuHt3DxR0wrR/BXJUmu50Wb+0jQhmvCTYCjeBfMKoF38jeMM2RALecd4IgJLrLKY9WwZA1YtvMkCmLYbnN2DF7/7P8+coGqFlkSkl4I8X1cacsmbdqamU0hg+a1qC+iAmhRERERGT28FZC/WWmZ8bgHnMOGDtKNUf5mw0B/nxDCz/e6+G7z3Wzq2OcYGQMmZzNo3u7eXRvN3/nsrjunAZed8FarmnqxpPqKo4h4w4Ue4KEW+DiPzVTJgWHn4QdP4QdP4LEwOgPyWVh31Ow/zWw/FK49iOw8KrZW7KslNtXEsoknVAm31Omz0wDLzjXGA2mB5OvFjzBM73nIjILKIgRERGR+WXoRejfYZYrWiGyzgQpJ2JZppVfYAFUn+fUCj9mLrCyyWIoY7lMGBNshEAj7UM2921rL3urN29citc9Qeu+VB8MHQTAjpwH1tOjnwdT7sCyRpclW3q5s78N5RetzngzBBee+OcdTy4LQ06wVKneMCIiIiKzli8CdZeaQGb4gAlksglqOMRblsMdK7xs7a/j+y/AM0eS7O0cJpuzJ/XW2ZzNAzuP88DO4zRU+XnleYt5ycIMl9Z3U0nCnHMPveiEMk2mLK6/DpZfbaabP2nKl235Fuy5f/QH2Dbsfxpe/ANYeTlc+3+heeP0fj8zye03vYMqlphrhXi76aGU7IFsonjtACaI8dWac3tP2Py7Teb6RETmFQUxIiIiMn8M7jOt0MCU1IqsPbX3Ka0VbjuhTKLDXFxlYmaeOA7AN54KlF3QBr1ubr9s8fjvbeeg7/dmuaLVtJQbqXR8mOQgHHqi/PmF68zcX1KWLBMvliULTSGIiR8xvYE8oamVNxMRERGR08MXAd8FUJ2DRKfTmOg4Vi7NhkgXG64wmyXcNewerGVHj5+OwQzRRIZoPE3XUJKnD/SSzOTGfPvOwSRffeIIX8WUL9uwsIrb1ni4/ZwonmzCNDAaOjh6vMW1rzRT12544guw9bumvFcpOwd7n4R9r4BVG+GlH5nBL2qGuP1QudRMds65duiEVC+kB8x5euaoKWmW5wmZEmbeSHGunjMi85qCGBEREZkfonsgutssh9dAePX0vG9pKMN6M+ZM3IQyg0N9/PfWJFDslfJH6wNE6IRMjRmPJt9jJZsyIcdwm3kPlw/C58JY17ulQcyLvzFjv+S5vNC4otiDJy/uXNj56059sFDbhsH9Zrly+dwoESEiIiIihuVygpAmEwik+iHZ5YQC/QSyfWwI9bEhhDmPrFxROJ8cTmb4ze4ufrG9nV+/0DnuGDOZnM3mtmE2t8H/7AzziVe2sq56YHRpX3cAQs6A9wvWwG1fhOs+YgKZZ75qwolSdg72PI5n3yvYVL0KDnlgxS1z73zUchV72YPpbZ7qK4Yy6ahp2JWf4h3F17p8JpTxRUwwo7JmIvOKghgRERGZ+4YPF0OYyNqZHWDeW2Wm8Cq+9vsXGEi+WPb0W84dhN7nzAPLZUIRl99cfNl2cX3NBlNnujRkATM2TNqp5e2rGV2WbNFF4Aua50pLGuTLkoUWnfrPljgOmWHzvqHWU38fERERETmzLBf4a80UXmPKZcWPmTFNUn3F8V58EahaRUWgiVec38wrzm9mMJHmZ1vb+c4zbfy+rX/cj9h+LMqr/n0n77h6OTevu8IEDckugtkullYlcA/uhcG9pndM1UqoaoKX/xNs+kt4/HPw7Fchkyjf7VyOBb27sb91O7SsgUv/FNbfAd6Kmf2+ZorLXdKoy5FLm0AmPWDKyqWjkBk0QVayu9jLHUyg5a91SpvVmqBmroVTIgIoiBEREZG5LtEN/VvNcnjNzIYwJQZiaf798cNl6248p4bli6vNRW1myLTsSw8BQ2YDX7UJOEILx68Lneo3c0/ItIrb+0D584svNPNAY8lrBkx4Y7mmVk5scJ+ZVywFl04TRUREROYNd8D0eK5cbnpiDL1oGjOlBqDnWaeh0RoINlMV8PKGyxbzhssWs6sjyn3bOnhyfzdbDveTGTHGTDZn868P7+dfH95ftj4S8HJFq5tNzQk2LuxmRU037kANVK2Cqka46Z9h03vgsc/A5q+NKllmARzbDT/5EPz6X2DpRXDuq2DFbeCvmeEva4a5vKYXu7+uuM7OmfP59IAT0PSbeTZhwrPYMbOd5TYNsgrhTI3O20XmCB2pIiIiMndlhrF7nuGnu2z+7XkfKY7x0pUpblrfzGXLanG7Zq612L8/+iKDiUzhsWXB+29aD5EwRDC9X7Jx08MkGzchjDd84jcuLUvWsRWGOsqfb15l5oGS8WHyvWGCTac+8Geiy3y25TL1rUVERERkfvKEoHo9VK12ApmDJgToedacs4bPKZTWOqcpzDlNYbhhNbFUhif29fCJ+3ext3Nowo8YSGT55d4sv9zrAiDkhbV1/axf8AzrmoOsX76SVa2teG/5JFz5Xnjsbtj8jdG9xQGG+mD7r80U+juob4W6pbDgHGg4F6paIdRowiS314QVlsfMTzKkyOZsBhNpBuJpXJbFopog1unogWK5nLF+IsV1uSyk+yHZa3rXp/rM91Paa8aywFNlQh1fjcqZicxiCmJERERkbsqmOHbgST7yYJaHDrmADJDhxa5hvvHkIeoqfNx8XhPvunYlzZHpvRjpGUpy7+MHyta94rxmc5GaZ1nmIvdkx2spBDHVsP0H5c9VL4Zwg2nRmA91bLs4PkxwCmXJorvMvGKpeX8RERERmd/cPoicA1UrzDiBQy+anhjdvzM9LipXmsY/ThAR8nm4/txGXrq6nn99eD/3PLxvVA+Z8cTSsLnDYnMHsC0BbMfn3s6axkouWlLHjes+yOUb/xLrqS+Re/breLOxcd4oCod3mImfF9dbLvAFwB8EX4iYO0xnLsygp45k9XJy9avwLFhFxlvDQLaSaBL6YimO9sdp641zpC/G0f54WUMrgCV1IT5481pevq7x9AQypVzu8p4ztm1KmKX6INlj5pmYU+YsCjjXJx6njLE3At5qE+6camMtEZk2CmJERERkzrFzOb710ON84rcJhtJjXxD1DKf41u8O85Mtx/jgLWt5/aWtuKaph8yXHtlPLFUcwNRlwfuuXz31N7Zt09oNTGu2Pb8qf37JpeZCONhUXJfsgmzSlDHLDwp6suLHzUW35T5tpd1EREREZJZweU0gU7nMlKodPmh6YSSfBm8lVK4w4xBapneL3+Pm/Tes5pbzmvjk/bt5cn8PmVwOcLKCSYYzqSxsOzbEtmNDfOPJQ9SEvFy75o/pDFzEZZmneWX8pyxzdZz4jcCU9krGzEQPIWBp/rl2M8vaFnvsVjbnNvDr7IVssVeRxT3h2x7qifGOb23mypV1fPSV61jdWDW5/ZkJlmUaY3nDULHErMsmSnrM9DrjzcTNxLHiaz0VJpDxVjs99SMqaSZymumIExERkTnnc/f9js8+FsOpHj2hwWSGD/1oGz95/igff835LKuf2kCfx6MJvvnkobJ1r75wESsbKqf0vkCx3IDLB4k4HHmm/PmFa828dHyYfFmy0MLCxfFJG9xt5pXLwO0/tfcQERERkbnN7YfqdaaHzNABp2TZEPT9HgZ2mHPQYIvTS8bFOU1h7r3j0lFvc6w/zpP7e3h8fzdP7u+hfSAxqY/vi6X54ZZjQIjHuIbPcBUXWPu5yf00N7ueZrGra2o/nmWz1jrMWtdh3un5X/rtCn6du5AfZ1/C47n15Bj/XPrxfT3c/LlHuXr1AjatqOPKlfXUhHw8+WI3T+zrYfPhPnxuF++7fjU3rW8a932mnTsAoRYzAeQyzvgy/cWxZjIxUy45M8zocKbaTJ4qE/DoWkBkxiiIERERkTml7dgh/vWJXkaGMAuq/PzhhQt5dG83O9ujo1731IFerr/7Ea5YXstN65t5+bpGGqpOrgRXJpvjn37+AslMrrDO47J478tWndLPMkriuJkHFsCunwElrQl9ldCw3PRa8debdbkMxJ1WgqFTLEsWbzeDtLo8prWjiIiIiJzd3AGIrDU9pYcPw/AB08MidtRMLo8zULwzWLyvxpTRcrRUB3nNxYt4zcXm/LRzMMGOY1F2HB1gx7Eo248N0NYbP+Fu2LjYYq9iS2YVH+N2zrUOcYlrN6utI6x2HWG1dYRqa/iUf8xqa5jXuB/jNe7HOG5X8+Pslfwo+1J22YvH3D6bs3loVycP7eoc9z3f8a3NvP+G1bznupWnv5QZmH+bQL2Z8rKpYiiTHjAhTSZeDGdiR0te7yv2uvE64YynquzfV0ROjYIYERERmTsyw3z+we2kc+UXNX98ySI+fMu5REJePggc6hnm87/exw+eO1K2XTZn8/i+Hh7f18P//cl2zmkKc97CMOtaIqxfGGZtc5iQb+zTo87BBO/5ry08daC3bP1rL2llcd1JjgMznoRzURdohB0/Kn9u+ZXgccqP5Xu+xNvBzhZbs50s24ao0xumYpmpEy4iIiIiAqZkWdUKqFxubt7HjkH8mCmHlegsnrvmS2blwxl/bdmYgw1VARrWBLh2TUNh3UAszY72ATYf7OOXOzvYfnR0Q6pyFjvtpezMLi1ZZ1NFnIg1RA1DVDvz/ONm3zCrvd0sSh+k0Z64N02j1c9feH7OX3h+Trp6MfbKl/Kbilfw0Sd9tEdTJ/W13f3AHvZ3DfGJ15xPwDsLAgy3D9wLyssYjwpnoiaUyaUg2W2mUp6K8mDGWwnuCgU0IidBQYyIiIjMDbksL+57mh+8YFPaG+bPrlzG/33luWWbLqmr4NN/vIFXXdDCh364jaP9o1vc2Ta80B7lhfYoYAIblwXLF1SyvsWEMnWVfiJBL+lsjrt+uoPOwWTZe/g8Lt5z3TSNqZJNOINsYgpmH3qi/Plll5h5oKTUQeywmVeM3WrvhOLtkB4sXmSLiIiIiIxkWcWeL5FzzTlrfkySZK85j00NmCk/YLwvYs5bg03m5v0IkZCXTSvq2bSinve8bBVtvTF+ub2dLQePMdz1ItecU835jS4WR1xsG6jjiWM+Hj8wTFtvjPoqP4tqgrTWhqiv8DGUzDIQTzMQT5PxWCxZXMOVK+tZ01hVHCMyOQgd22DvA7D3V3B8+7g/rrf/MDz7bW60/ouXNa/nV01X87f7L2YgO/myXT95/hiHemK8/4bVbFxRh9d9iiWEZ8pY4UwuC5lB8++bzs+jJpzJ956JjxizxxMCT6WZvM7cU1EWxImIoSBGRERE5ob+rXzuiWFydjGECXrd3Hnt+AHC1asX8Ku/uoq7H9jDt586RCKdG3dbgJwN+zqH2Nc5xI+fPzbhtl63xadeu4GW6uDJ/RzjSTotCn01sOeXjCpL1uj8nAGnJWFm2Fz4WtaplSXLZSH6glmuXG7CGBERERGRiViWCVl8EWCZWZeJO8FMnzMfKE7R3ebGfOVSCC0ed4D41toQb7tqBemNi7nv5z3cctVFeOMHIDXAtcEurm0CLgtBaKkp03uyg837q2DJJjNd/1Hob4MX/he2fgfafz/2a2wb97Ft3Mw2bgr6aau9lF95ruFbPes5OGCuK6oCHq5YXsfC6iDffPIguZJT+Ofb+nnzvU8TCXq5fm0jN5zbyMYVdUSCs/S82+UujhlTKpt0eszkw5khyAyZsS0zMTMxolyby1MMaDwVTmBTAe6QxqGRs5aCGBEREZn9hg+xu+0IP91TXpLsLVcupb5y4hP5Cr+Hv7v1XP76xtU8sruLX2zv4KFdnQwlM6e8Oy2RAPe88WIuaK0+5fcYyUo45RICDbDjY+VPrrjKlCXz1xYvXIad3jD+BafW4mxwt7lo8gRNECMiIiIicio8QfAshNBC8zibMmMfJjog0WUaEPXvMKFMaLE59/RM0JjJskxvmqpW0/Ao1mZKomViEN0D7DHbeKpMaOAOmvPh/OQKnLjkbnUrbLzTTJ27TCCz9X8genTMza1MksWdj/E2HuNtoRqGLriSvmU30bL2JbgrmsEd4OrVC3jPf28ZdZ0xEE/zg+eO8IPnjuCyYP3CCBtX1PFHFy1iVWPV5L/nM8XtN71nWFC+Pps0gUxm2PSgyQybx9mYGcsy1W+mkSz36HAm/9gdLJZhFplnFMSIiIjI7Jbqh/7tfOYpC7ukJFmV38Pbr5p8gBDyebj5vGZuPq+ZRDrL79v62X4syo5jA+w4GmVv52BZC7bxvGRlPZ9/w4XUVkzjeCp2DpJd4AIyNhx6vPz5ZZeZeaDR2d6GmDP+zamUJUv1w9CLZrn6/JNrTSgiIiIiMhG3DypazZTLQvyIOfdMD5n58AETyFStmjiQAdMQyV8LkfUm2Im3m543+bK+6XHGlrFcTjATcsaviRTHN7HKG3fRcA5cfxdc93dw8DHY+l3Y+RNIDY393rE+Knf9jMpdP4MnF8KyS2HV9Vy7aCM/+PMN/Nm3do5ZGhlMD/ytRwbYemSArz56gI/94Xm89pLWib+D2crtN5O/rny9nSuGMmknmMnEIDtsek/Z2Yn/7dwBE8h4gk4PmmDJ46B68sucpatuERERmb2yKeh9lu3Hc9z/YnnLqLe+dBnVoVMLQwJeN5cvr+Py5cWLhngqy66OKDuORdl+dIBDPTGiiXSh3rTP7eJPNy3lXdeuxO2yJnj3k+dlCGxnwMu9jzC6LNlSZ8edICbZZS4+Xb7iusmyc9D3vAlzQguLpc5ERERERKabyw0VS0zwkuyCwf1mIPjhQ6anS8USqFp54h7eLrc5dy30ukmYQCY9aJazCcjGzTyXcsIAJwAoHXje5TXnz8Fm07O8dLB5lxuWX22mWz4Fu35uesrsf8i831j6j8KWo7DlxxBuZM3iC3ngqkv5r/6L+d998PtjsXF/pEzO5m9/uI2akI/rzz3Jc/rZzHKBt8pMI3M2O2f+nTLDzr/PsBPUOI/tbPHfM9U39vu7PE44EyrvCVXoEeU310kjAzeRM0xBjEzNwA6qs/ug/3nwBsHymF+IpfNR69zOev1CFBGRCdg29G2BTJzPPesBihc/1SEvf/aSZdP6cUGfmwsX13Dh4pppfd/JCNgDQKW5GNz5ufInV14Dbo/pru91Shfky5KFFp181/3BfeaC1eUzLQtFRERERGaaZZkGQIEGU24suguSPTB0wIQyFUtNIMMkz23dAROmBJtHP2fnijfzM0NO74sBZ+D5tOlZHjti7k8Fm8xn+2vL38MXgvNfa6bBDtj2fRPKdGwbf5+ix2H7/YS238/bPH7e1nwu0cvW8EhmHd/rXslTxyCZKe+Cn83ZvOu/nuPbb7ucS5bWjvPG84jlcsqQVYz9fDbpBGrOlImboCa/nEuZsme5QXNNM+7nWCVl6vwlyyMm3Z+U00hBjEyJlerBb/dixY6Ym0Qn9WL3OKGN2wlr8oGNu3xyjbGudLvS1gwiIjJ3RV+ARCf7+108eKC8BdpfXLWCcGD+dEn32f3AQsi4RpclW36Fmed7vuRrboMp93Ay0oMwuNcsV68/ce1sEREREZHp5q+FBZsg0W3GLUz2OiXLDkFgEZadntr7Wy5n/JFQecBi25DqhXgHJNrNjf3YUTN5q5yeO4tGl76qaoJN7zbT8Z3OeDLfg8Fj4+9DJgltWwi3beGVwCvdXnItyzgeWMojw0v5+rHl7LNbyOAhmcnxZ19/mu+/YyOrmyJT+9nnuny5M6rHfj6XLQ9qCr2hEpDLLyfNv3UmDoxdIq7Asoo9aNzO3OUff1n3HGUKFMTIlNiVqxh07ceuWgNuF9gZM+VGzMuWnfTfzkI2CySnf8cmDG1co5dxlYQ4rvG3K11Xtp3ScxGRaTWwy5QtAP5jZy223Vt4Khzw8OaNS87Unk2/bByPHQcsOPAko8qSNSw1y/kgJn7EtPLL17merFwGejeb1wYai2UdRERERETOhEC9mRKdEN0NqX6sof00ZH8PfYuhejX4qqfv8yzLjGfirwPWmXEThw+ZICY9CP3bYeAFc55csWTsz248F274B3jZXXD0WTOWzM6fwsDhiT87m8bVuYdm9vB64PV+SNpeXrBb2ZFbxvb0Uj74xT2Em5dwybJqrlxew4YlzVj+Go3nWMrlBlcleCvH38bOmZ4zpSFNWVCTf5w29yjzjyeT/1luJ5jxm8DO5XMm74h56bL+/cTQ/wSZmmAzMVejGWDNO8mWyXZu7ICmsC5rplzJcmEaY11hu5LW0oXnUjPzc49kuUaHNbiK60uXRz4uBDqWWXZN8NoTvk/pYxGROSq6p9Bro9t7Dj/Yuq/s6TdesYQK/zw6hUl0mrm3GrZ9sfy5ldea6gwuX7E133CbmYcWT/4zbNuEMOlB0wW/5vyp7rWIiIiIyPTIlyyLH4e+nUAOK34UUsdNGBJsgcCCk2uENBm+ajNFzjVhzPBBc748fNhMvogJZIIto3vJuFzQepmZbvx/0P487H0A9v4KjjxLWeOqcfitNBdYL3KB68XCunSnm73HF7H9iaU8WrGSmzatZtWaNSY88tWYyVOhBsETsVzF0mMTKQQ2SafkWdJZTpasL1m2c+ZeYyYGjD/2z5j74/KODmksrwlpCstep1KQs76wTv/W88U8uoshc4blckqhTHM5FNseO7TJjQhuyBXX55fzv0zLlnOjX1P2XGnwk3+cmd6faSpGBTRWcRmr5HnrxOsY7/WTfM+y50pfN3Ku3kVyCrLOCVMu7bRoyR+HlvP/ySope1g6TpVKGc5K0b2mNRxA9Tq++WSGVKb4+9brtrhj09Izs28zxIofNQvdR+DIM+VPLrvMzEMLze/IlFPb2nKdXI+WgZ0m8LFcUHfpiS9KREREREROt2AjtqeWHvcx7OBCSHeZXiupfhjAnMP6652B2p1SUZa7eA+o0FC3pLEvVvlNcE+lCTNKeym4vFC51EzJXtNLJn7MnHuntkL/Dgi1mIZQI8eSAXPd2XKhma7+Gxjuhv0Pw+EnzdS5c9JfgdfKcq51iHNdhyD5CDwM8Ucq8LWswt20GppWQ8MaCDUWgxlf9eigSE5ssoFNXi5TEtaknCk9xnLJuvz9wqzzulPaT3fx/3AhqClZHnO87pLhIArr1Wj7TFMQI/OH5dxsPV3/rW27GMwwXpCTc54bY3nU4yxgT+61Y77PiNYWI8OiuaRw89wJccqCnzHWF264j7HNeOsn9drS58d77XjvPZn3lJNi50zrpPwgi+lByAye+slMnmtkOHOSj8dbp3/jk5NNmLAg5oQSkbXEfUv4zyd/XbbZH1ywkIbwKYYIdo5Zd/zFj5s61bhwbf7v8ufCC6FxqVnOhy4xp+RBsHnyF1vDh03NbYCaC6e3vIOIiIiIyDTLWJXmvNWVg/hRSHRBssdcM8SOTP0DLMv0rvHVmZK9/rriNYK/1kzZdaYk8PBhp5dMm5k8FcWxZNz+sd+/oh7Of62ZAGK9ppdMx++h3Zn6T1DKrEQwNwxHnjcTmAaF9cugcbUzrYLwopJgpsYETrPpumc+cDmBhqdi8q/JOdV67LRpRGqXhjUljUlL54X1WfMe+aEdsomp7X++gs+ogMY9TogzxtjdLo8JQhX8nRIFMSKnyrLMLyFmSYv6fDA0VmCDPSK4sceZj9zephjyTOL1o95rrNfbIz5njO66tl3yPvPYhIFTSYgz6cBpxHtlM1TlDkN0J3h8o7cfFRxNFFRNsA8nDLzyjych37Mtl4T0EGSHzTwdNQHMeP8nyuqxeovvVfh/N0bJw7xcBtObbZrHqyorWTjelH/ec+JtXSMel41tNYfZORg6AIN7nH8LILIWqlby/ScP0hcrL9T751ctP7n3zwybge3jxyHVY9a5A04ruqC5SAk0nNzJ9HSxbYi+YHYpnsR16LHy5y+7A1yW2Tdfjfmu8kFVqHVyn5Hohv6tZjm8xrTkExERERGZC9x+qFxuJjtnwphUv1MRIenc2M6Mf0PZ5THn3KU9FNIDprRUasBMQy+azwk2mxJkvlpzDev2FT871WcCmdhRc30xsNOcxwcazXl5oGHia95QLay+0Ux5sV7o2FoIZrJHn8fdt39y30suC537zLTtPrMu3GQCmcbV0LQGqhcVx5T0RcAbAU/V3L9+nGtcbnAFgSCcbHZROrTDqNAmH9hknOUxeoMVhoDIFd/PzpnXTUXNBqg4iTLZUqAgRmS+mG3B0GSVhS6l89IQZ+Q2Y2w/6rVjPDfyPSfz2vH2p+y1Jc+N+54n+tmnn5XNEMp1YA29CO5Z8Ot+ouAGiicKE3F5zQmkzzmJ9Fad2slkWSnDfBnDzATrTuJx4TNOY8nCUcHOWGGPa/S6/LhUpcHOqO1LXle2zRRaV+XSzkVUL8Q7zMUMmLCh+jzwRcjmbP7jsQNlL7t2zQJWN1ZN7jMyw9D7nLlQG/Vc3ExQDDY8IfAvMBdR/rrT08IndsS0rnN5Wdz5ZPlzlY2w8grIDJjWdgDxdvPdeYKmJMOJJHuh52nz/z20EMKrp/9nEBERERE5HSyXGScmsGDq75VNmOuRZLe5HskmYeigmTxBCC405+Be59oj38skss6ULBs+bMKZeIeZXF4T4oScXimTuVYK1cLya8yEcycnEYXj28kcfZ59zz1MuGszLVbP5H6maIeZ9j7q7HPI9JqpXwYLlkP9UqhqMD+TN1K8lvZWgjs0tes7mRnTNbSDbTNqbO6xxu4uWz/W+N3OsnrDnLJZcGdORM5qZT0o5rEJQ5rxAqeTDI1GhFR2JsWw6xh25XIniJkgQJpM+DXquVMMnijOxmW5TS8AbyW4K8xJoq96+k4Qy0oZjtOd/FSVjTlVMk00XtVY24+aRr5vSYA3spfP6VDW48c1RlBT0iuKESd+mREDG7p8phdMqLXw7/uL7e0c6infbtK9YeLHoe8583mWZUoOBBtNizXLDVkniMkMm4uvVK/Zp8whUw/asswFlH+BCTx81dP/OyqXheguAOzhNI3RreXPb7wTslGzXChL1uY8bj3xcZDqg56nzP+LQAPUXDB9+y4iIiIiMpe5A+YcO7TQNARLdpuAJd5urhMG95nJGzbhSmiheY3LY3oCVCw2VRtiR0zDrmzCXEcMHzLbBZsg0Fxe8mwyAmFYsgnPkk2cs+lO9hwf5M++8yAVx5/lYtceLnXt5hzrMG7rRBfUQCoGx3aYKc9f6YQzS6FuCdS0QqTJ3Oz3VppyZvkGj94qBTTzhWWB5VWAMgsoiBEROR0KPZZOo3SaIdd+CJ8L3tP8B3dUz6IThTyUdB/3zu1grhBCzPB3XtarZ7ywpmQduWLoUxjXKjfGa3PjbDNi3Kmp9vjxVpqAxF9rApKSk8LBRJp/+vkLZZuvXxhm4/K6E38ng3shuts89tdCxWrY/wjs+jIcfBxSQyX7bkFkETSug/rlUNMMNY3g9ZjeJMleYLc5dv21Tg3petOCbKr/R4cPmAs2TxD3c18tfy5UB2tvgNiLTn3nCnNBmOhynj9BWbLUAHQ/ZYIofz3UXjK3jykRERERkZliuUzDpUADVJ9vyhrHjkCi04QtAzvN5K83gUwgH1yEIXIuhNc6Qc5Rp3dNoti7xuU1rws0mEZenuBJ7drqxir+35/exDX/EuB/M5sAqCTG+86J8rZFh+Hwk6a0WXqSY4ckh+DoNjPlub1Q3QK1i00wU9tqlkPONY+nsthA0lMyjTc+joiMS0GMiIhMv7Olp9OZVNar5zTJ94IqC2rGCHFG9ZSyyus0u0MTnrh/8v7dtA+UX0y84+oVWBO1xrJz0LvZXPwA9A/A778BLz5iakePp3e/mUrVroCF50PjSqhbBJW1JgRJdEGUYjDjrzet3LzVJ9dSLJc2LewAEhauPfeVP7/xXZBxShDky5Lle8P4600ZtfGkBqD7SfMZ/lqou0x1oEVEREREJsNyOWPFNJvz6fgxE8oke03YkuwGa6szzmST6fniqSiWTKvOOaFMe7GscH4ZzHm8r9bpfV9rep+c4DqipTrI7Zcv5utPHARgiBAf21PB9be+nqXXV0A2Ax3b4OBv4NDjcPQ5GJ5kOTOAbBp6DpmpVCDshDKtULMIIi1Q3QwBp1xb/rrOUzF6cvnVk0ZkDApiREREZHJOw1hUzxzs5T9/V34R8JKV9bzivObxX2TnoOcZ02otMQhbfgE7fnrqO5EPZ/INxSrqoWWDGfyytgVqF5rAKd9DxeUxF1T+OufCqnrsENLOmQu5wb3ORVkMfv7h8m0CEbjwduh/1nzfwRYTgOWDmIoJesOk+pyeMGlzcVd3uUIYEREREZFT4fJCxRIzZWKmBFmi3TR8yveeH9hpeosEmkwvf19Nee+adL+5Zkh2mXP1TMx5ryPOZ3iK48/kAxrX6Fu1d167gu88c5hE2lQoyOZsPvfrvXzmdReYMuQLLzTTlX9lrh0GDsOhx+Do09C+FTr3mN4wJyMRHV3aDEwQE2kywUyk2YQzkWYINxT33XKZEm3ukOkF5A46jfGCxcdqtClnIQUxIiIiMisk0ln+zw/Kx0oJet3886vPG783TC4Lvc+YcWF2/Qae/T4ko9O7Y8PdsPfXZgITRtWvgAUroK4V6pdATdIEQWAuKnzVphu/y+/0/rFh6EBxfJzBbrjvEzDYXv5Zl78TsgNm2d9gyh4ke8zrXB5Ta3osyV4zJkwuU9ITRqd5IiIiIiJT5glBeJWZMnFTvizRYc7T00OQdsaUcXlN46zSnvO+GmC1aSyV6jfjU6b6zJTLFHve53nDxR4z/npwB2ioCvCnG5fy5d++WNjsx88f5c5rVrCqsap8Xy0LqpeYacOfmHXZNHTtgCNPwrEt0PkC9B6GWP/JfxeJQTMd31u+3uWGqkaobjLzcANUNUDVAjO5R5TudgeKwYwr4DwumVx+Xc/IvKP/0TI18XYCuS7TzTIbMr8kXd75Mc6DiIicNulsjs88sIcXu4bL1v/1jatZXDdOKa5cFnqehoED8PA95bWOS7m8sPxqOOdWaDqvOI5PNgVdu6BjOxzfbuorpybRUszOQtceM+V5Ak4ws8QMfrlgOYQbR3fJd/kgloaf/RMMd5W/bf1qrCveCf1PmxWhhWY+fNjMgwvH7uGS6DI9guysuViru1QXLSIiIiIiM8EThMqlZsqlnSClwzTKyqVNqeR8uWSX14wv6YuYuTcMlSvNOb1tQ2bQNKjKhzOZmBmXJh2FYadKgLcS/PX8xeXVfOt3boZTWcC8/DMP7uGeP7n4xPvs9kLTBWbKvzgzDP0vQvtmcy3UtRf62qDvKGSSJ/+95LIwcMxMo1hQWWcCmqp6ZyoJaoLhse8fujxOKFMa0vjLH7v8qgIgc4au0mVKrKF9RHIHsPo2m+6QozZwFUOZsoG4R8zHfc5Zr9qSIiLzTudggp8+f4zH9nXz9IFeYs5FRd6GRRHecuWysV9s50xPmCNPwa+/AEPdo7fxh+HaD8EFt5uSX2Npvay4nM2Yi5DDvzMDXx5+EoaOT+6HySSgfYeZ8tx+CDeZQCZUA0M90L0f4n2jXj4QaCX0xp/gTXdCNmla3QWbTVgUdy5mxipLFj8Ovc+a7yPQALWX6EJEREREROR0cHkh1GImOwfpAdNLJtltApZcuji2TClP0PSe91SYeagVwucAlilnluyFVI8pg5YegvQQtcBbN1h8/pni/bFfbO+gYyBBUyRwcvttWSbgWXC+maDYYyfRBd27zHVR94vQ22bClehxE7acEttcrw11Q/sYT7u9ULnATBW1UFHtzGuhst7MfcEJfh63E9D4ihUJXL7ydaWP1WhczhAFMTIltq+WlFXt1LHE/OK2M6Z7JTgDN6cgN8FAyZMxqqdNPqQpDXHyoY1ngnX6ZSsicqYlM1m++tgBvvjQvlHhS57HZfHx15yP2zVOEN+/FZ7/H3jiG8W/OaXW/xG8/J+gqmnyO+b2QMsFZrriHaalWN/BYjBzdDN07jR/2yYjm4S+Q2aaQK75Qh6v/3NuCISh9/dmZXit+Zs1fMB8nq/aKWtQIt4BvZvN88EmqL1Yf+dERERERM4Ey1Uc76VqpTlHzwyZcCM9YEKVzJC5b5aJm4mu0e+RH/DevwBCi809tkwMUj289YIh7n0ehtLmGsm24cFnnuSNly00PePHG6tyMlxeCCwwU/W5sPIPzT6mB8zPkOyFnj3Qdxj6j8FAu5n62814MlORTU/Qm8bhrzI9aipqIVRtetEEKiEUMY3egtVmeWQJtPF+1nwwY3lNOWjLWecab65b6DJ1+l8kp+7xz+EaOEpjZwfWXhcEI+CrAl+FMw+Cx1+ce32A7QQ1aXPjLL88cp5/Ln+zK5cZ+0bbybJcJikvC3NKHlslj08Y7KjFsYjIybBtmwdf6OT//Xwnh3piE2575zUrWNscHvvJgd3w4D/Bjl+Nfq6yCV79b7DiuqnvsGVB7TIzXfAGsy41bAa8PLoZjj0HR5+DvgOn/hmLN5H942+T/vWjMLTH/K3zVZtWdbmsGVcGzMVcqdhR6Ntirr5CLVBzoUIYEREREZHZwnKZUmTeEdc02aQpC5YZGjEfdnrVDJpp1HtVEYk0ct2Kfn66K1146oE9w7zxnN3AbnPPylcHgXoz94anVmHG44zhEnQatzVsKg9n8vN4nxPKOAHNYBcMdkK0C5KDE33C5CUHzTRGIYQygQhUOL1oQjXF0CZYZYKbQBUEwuAPme98siyrPJixvM5yabWfkZV/SrfRtZooiJGp2PZ93B1bWQPQ8ZPJvcYTAF8l+CvNvLDshDeF5UqTdnuD5jVen0moPV7w+EzC7fGYdW6X0/MmUxLglCznMqZuPjjb5UzYM1WWVRLclJZWc5f33Cl73lO2Lmu7+d3BKHs64+SY3B9H27aJp7IMxNNEE2kzj2cYiJvlWCpDbYWP1toQrTUhltSFePm6JlprxxljQURkBtm2zdYjA/xiewf3b2/n4AkCmHOaqnjVBS38xVUrxt5g8AD89L2w/8nRzy25Ev7oa6al1EzxVcCSjWbKi/U6ocwWE9Ac3QzDnSd4nyq46E1w3d+B5cVtx7GGD4PbDZFznfc9bP5eeSogUNKzZ7gN+p43yxWtUL1BJTxFREREROYCt1M6y19bvt62IRsvhjPpweJ4MXbW9KhhgBuWwE93FW/qP3kEhuJJKj1Jc88pm4SEU17ZcpseOv5a8NWaBl+uSfQYmcjIcAbMZ+b3NT9lhsz9t1TMBDPRThPODHbCYI8T1hyfnkbXpRIDZurZP/F2lrvYkyZYbRqXByNOUOPcq/SHwB90livBTpqf9VSUDd0wIrQpvZ84bqNwd3FZ5iz968mpm8yAxiNlEmaKnSjCPknekAltvBVm7gs560LFx54AeAPYbj8v9GbZ3ZMjafnx+AJ4AgF8/gABv59AwEco4KUy6KUi4KEq5KHC78KyLCBbUnbNBjsNpOEky2S2ReF7L1h8/wU4NjT9N8/6Ymn2lwx4/fFf7OKvb1zD269aPn6ZHxGRU5TN2RyPJmjrjXG4N0ZbX5wjvTHa+mIc6I7RPTT+yaplwas2tHDDuY1csbyO+kr/+B80eAS++2Y4snX0cxvfDdffNXZX9PygmYkOc+JsZ4u9Lt0Bpz5zJXirzMWJ+yRrLIdqYeX1ZgLz92Gww5Q16z8E/YdhsB0qG6FxPTSug+ol4HIuoNJpqnJHgBUQaAR/ndm3IefioWpFMWgZOgj928xyxRKoPk8hjIiIiIjIXGdZZpxITwhYUFxv25CNFQKOa9b0432gm7RTQCaVs3jkqJ9XrPCZ7RKdZngAO2N6ZHjai4Pbu7zgjZhgxlttrn08lVO/nnD7we2UNSvsd86ESuko1JUENNlEcZtcDuL9ZizN4R4Y7od4FIb7zHgyg8dNo7eZYGdhuNtMk2G5TG+bQMT0qAlUmTFJ86GNLwT+ChPc+ELgM/cg8fpNCezpGroBRjXyHreaT+l2hSCnZLmw3q1rytNEQYycuuQpBDEzJR0zEz0n3NQCznWmk5HFRRovGbefnDuA5Q3g9QXwBYK4vAGnl47f9NhxebHdXlKWl6TtZijrpj3moW3IzcFBN/ujHhL4WImXRZaPBD6SeEngI2Gb5RReknjJMvUSaJmczSfu38Uj2/dy9y1VtET8Y/zCdo/45e0evaxfziJzjm3bHI8mebF7iLbeGG29cY70xUjnbMIBL5Ggl3DQw8LqIOtaIiyrr5hUYDuYSPO/v2/n+5vb2HZ0gHTWPul9u3hJDXe9ch3nLYqceOPBdvjPP4DOveXrXV74g3vg/D8uX2/bZpD72BEzOOZ447pkE6Y7fSl3wGk15tR49kZOriu5ZUG42UylPWfGk+rFb/cBVrE3TPyY6fbv9pvBOwGGXoT+HWa5cjlUr5v8PomIiIiIyNxjWcVxY4LNVIXhihVP8ejeYoDwq8MVvGKdH9I+sx2U9LAZgmQXpIdMCOD2OwPaB5wAJeSMDdNgxqXxVZt1U73345RTw1sFLCyuz6VNb5/MkJlCgxAZMuPgjCWTglgfxIcgNgjxQYgPmHXDPTDUaQKbU+2pMll2zpRgi/ed/Gt9FeCPmNDGV2UCG1+FmXtDZkgHX9BpSB4omfvKh3rIy2WAae5JVOixM0ZQ4xoR5gSbzf8TOWkKYuTUbXg9uaFu2g/vpbm2Clc6ZnrJJAdNDf3UkOn9Mk+4yeHG6YaYjUIKmKCcpAX4nSkMtAAX55/0Tf5zs7ZFCi8pPCTxmbmdD2o85jm7+FwKr/O885wT6CRtD6l2L9/4hodb1ng4v8mL5fGYAMnt1K/ML7u9JrEf+ZzLbeZjhTSloU5ZyDPecv41qpMpMhm2bXO4N8b2o1G2HxvgQNcwWbt4MuayoNJvgpVI0Esik2XHsSg7jg7QMzz5Vjchn5tzm8OsbKg0JQ5rQyysDpDM5Ig6pRCfPtjLz7e2E0+fZHdAx+LaEH9942petaHF6W14AgNH4Os3m4EhS3lD8LpvwcqXla9P9UH/9vKAxRs2J4zecPF3ES6ndZlzEZCOQmbQhDOxY2YC5yIi4gQzEfMenqrpCaYTXVi9zwBgh1rBW2nWDzq9YSqWmc+P7oXoLrOuahVEzpn6Z4uIiIiIyJxz47mNZUHMwy+mSddeg9ftgmyqGHKUBh7ZuFNCbKi4LtllAob8dUZ+zGRPyJQy8zu9XPwLzLWQJzT10mYur2n0NrI0Wy4L2eHiPufn1jCEG800FssF7iBkcpCMQ2IIYlET1MR6i0HNYDsMd51adZ+pSg2baSrD5XhDpgeOv6rYA6dQHShQMvc74Y2/2FjcUzLUg8dn7ve5XEBJY8VCj53J7EuVgphTpCBGTt2N/0h2sI3tD/6ShutehsvrAyznxpQz5bKQTkB62NSFTMcgWbKc/2WUihXDm5QT6OSX0/Fij5dUbOZT7lnGbdkESREkBTgtBKZ672+PM500qxjQuDzmF7lrrNDGM2I+xvrS59xOyu/2mRJybmfZ6yx7nLGCPAGz7A2YP7SegPnD4wma7QpBj8IdmR9s2+apA738zzNtPPjCcaKJaW71MoZYKsuzh/p49tAptPSZwLL6Cm5a38TN65s4b2FkcgEMQPde+MatptRXqWAN/Mn3YdElxXXZJERfMGOogPl9ULkcgguLAccoEQiWPMxlzKCTyV5I95t5LmXCnVTJd1IYfDPihDNOQHMyv38G95mLnlyatFUBYSdcSXSaUMjlMeXHBl4w2wKE10B49eQ/Q0RERERE5pXrz23k736yo/A4msjw9IFerlxZ74ylPEbQUeghEzON0TLDZkp2Q6IL0gPY6WEeO+KmbdhDc6ib1oojLKpIEvDY5n6LO2hKmeWrBvhrTQ8ct98ZyN5f6HGTs3w8f2yYncei+Nwuwk6DwZoKLysWVJrQqJTLDa6wuaYatd8JJ0zKN6IbNqFNJlYsgQZOa+hKiFRimkNj9itf8s0dgpwF6SQkhiExaHq4DHebIRSGuyHWYwKb/HIyOq3/dqcsf190qOPE206G5XbG6M5PTrCTH9rBGd6hEOaUVgLqHoBFV0BkyfTsy1lEQYxMiTW4h0juAFb/8+bGeomtx+F/91r0xGFRGFrDNq1haA1DUySI2xUE6k7yAy3I2aZrYjZl5pkU6VSKrmiSY31JjvYm6BxI0DWQwMokCVpJgiQJkiJkJQmQJESSak+KxkAKdzaJJ5vEm0vitVNOv5JTa+U9/9mQTZtptrFcI0Ke0t49TmDk8RWDn7Lwx18Mf/JBkCf/ByfozAPO67wl2/qK71V4n/z7+4t/pFze4lgQMu/kcjaDyQzReJpYKsuCKj81Ie/kg4YRbNtmb+cQD75wnO89e4QD3RN0vZtlAl4Xi2tDtNaYnjSLaoK01oZY2VDJ8vqKk/9Ojj4H33oNxEfUBQ4vhDf9CBasKa5LdELvc6arO5hB7CtXmuVcCuLHnXG9KK+F63aC3XyA4vKYMVr8JX+fMsNOEDNgwpl01AQ2qX4z5f+JLMv0lMkHM55K54Tfef/8RUQ2BsMHCz1u7FArvS7MRYKdg+hu5wttgt7N5uIITNmyqhUn9x2KiIiIiMi80hwJct7CCNuODhTWPbDzuAlixlM2Bs1o3dEY/+cHW/n17tEl/5dUJXnDii7+dNUxgp4hSHSQs+HBozX8tqOGlO0z9/siLqoCXn57xM8vX7ToGB77+q/CZ3FZa4grl1excVmEtU0RXB6fE+bkq6hYJfsdNNNIhXBpuDhlY07YFDfXhrkUpFKjy1G7gBBQVQvuRcXrtvz1YX6es8316HB3sTRZor+4HO8z49yUzftMg/TZzM6akOlUg6Yb/hEue+f07tNZQEGMTImdHsBrO4m07QeXh929bu5+2s0vXxz5C7f42OuClipYHLaoD0HYbxPxm3lzpU1rlQlsqgOmd+FgCgaS0BWzaYtCW9RHW9TvLEPHENiT7CZiYXPHBvjA5TYV45UIy2XJZdIMxVMMxdMMxVL0DaXoGkzTN5SmbzhFZzRNNJYmYKUIkMJPmgApAlbpcho/5vkab4pqb5qIO0WFy7zOlU0XA6XZGG7MJXbOfJfZaRj4bCbkg6F8+DNmoFMS3owV6JSFPiNCoLIgyMwt3NQM74X234M/NH545PJMT4mlMyGXMycO2ZTpgWdnnQHY/cUWHa5TH2fpaH+cjoE4A/E0A/E0/bE0x/rjtPXGaeuLcbTfPFdSIQyACp+b1toQzZEAnpEtfUp43VZhnJaqgIc9x4d4Yn/PhIPbn6r8PrU6QUnQ5yIazzAQT9MXS7G7Y5DOwZP7XLfL4rpzGvjjS1q5oLWa+krfKQdQo+z8Cfz4naa3ZKm6VSaEqXbGTbFt06skust0X8eCYJMJL/I9YzIx08slPeDU0wXImde6/eYE2xt2ut/Xgy/snHyXTKFFZsp/ZjbmBDPOlBowJ/n5QShpK99vl88EQaX/WSwXVK8HXwtYR826gRfMRUImBrGjgNP6rOb84ueLiIiIiMhZ7YZzG0cFMR995bmndD32yJ4u/vp/fj/udeihQT8ff34RX923lHdfEcKTG+Y/Nqc5MHBqDU6HUzYP7x/m4f3DQAc1AZuNC2HjIptNi2B5NVjukQPPe4ul00rL3ecfu4OmZFZpozs7Z67RsknIxYsBTb5XUC7jDD+QLK9+UMqyTCjjCUJ1JdQtGB3WuPyj76lkUuWBTWIAElFI5udRZz5YshwtbpMcHH+c09nAO0YwJiekIEamxPKESVshutOVPH3Ywy9ftLhv34lDkXQODg3AoYGRgzvny5oZPo+LVGb6fvGc3xLiozct4uJFFZiBruySm2Klj21c2IRtm3D+OWd96fJAPMOOzhS7O1NkczbhgEXEb5l5wEXYbx5X+pzfyfYEn5kPEtIJp9dJSa+f/HJhvdMrJZMsLo98bsRkZ9N0DWY43JfBlUvjJ42PDD7S+KwM1Z4UQVfGbJ9Tj6Bpl0s7g9KNMwDdDPAAVwHs+ccTb1wIh4pBTmHdiICnGOCUBDuFHkP+knXjhUcj3qf0vfOvyWWdE5Zep67rcTNOSPSYmYa7TDfheJ8JXyb82fKhTL67bXDsZV8FtjfE8YSbHZ0ZNrcneTFqEcdPzPYTw08cP8N2wKzDT2acP6PDqSy7OgbZ1TGVIrBjq63wsX5hhLXNVVT5i5+fydkMJkywEo2nydk2qxqrWN8SYf3CMK01IVyuiX83dw4m2HEsyq72QQ73xmjrjdHWF6NjIEHQ5y6MP1MT8nHF8jpec/FCGqoC0/sDZjPw67vgiS+Mfq7lIlOOrKLO/N5MHIfjv4HYIdPiKNBgBrbPJpxeMB1OKJItH6eKnDPWYdY0JEhHzXsBpgSjcxLvqTST21+sPex2WmO5nJNxf50JSNxB5xjPhzNRp1VWzPwfzTkhcf59PBVmrBd/LaSdID7eDv1bTWkAXzUQMgFR7cUTlFYTEREREZGzzQ3nNnL3A8Wa80f74+xsj7KuJTKp19u2zfajUb7zzGG+/dThE78A6BrK8NEH8z0opq/qR1/C4r79cN9+c73aVGGzaVGWjYsyXNIMi6rAe+rtKw3LNaIyQgjcmGs42+k5k8uYyXaW7TSF+5SWC3A5N/fy85L1noATzITA5ZTSd4egMgzhBU7JtsDkG4ratmmUOF5IUxjqYWic5dLhH4anv4eOd+yeVTIxBTFySmKpDI/t7eaxFyp4cMelHHtmioN1jWM6QpjzFka4aX0TN61vYsWC6b2RFYnApibYNK3vOgNsE401YOMZSvIPP3+BHz/fXr5NEu590/lct6bO3DRMJ0yrgIzTOiCdLLYUKH0ukyrZLlWcZ9PO9mmzTa4kSMqkzB+7fE+g/HJugjApp4BoRs3m3kRTlU1CPGlCmxOwgCZnehnAeL3mHCnb7YQygUJYEyNAvGS5EOKMtc4JeeIEGMZPrCTkyVI8QVuxoILXXdrKK85voSUSmL5eJyM0VAVoWBPg2jUNM/L+JzR4HL7/Z3DosdHPLb8G/uheIG5KkA0dhP7t5uTYcpuxYCqXgCdc7FESagFrsTk59teboMZTQfGEGbNdshdSPWawynS+h1USEh3FACUfyngqzGSNcQLt8jh1kZ0Sh/4FEHJCHBunFECVCRstjxPcmJPlyuwhXId2Qi5mSpL5asz4MJF1U+rVJSIiIiIi8885TVW01gZp640X1j2w8/gJg5gD3cN8+3eHuH9HB0f64mNuUxXw4HO76Bme+j2C5bUeKrwwkMgykMgxkDzxtWzHsMUPd8MPd5ttXRY0h720VntpjXhojbhpjbhYHLFoDdssCOawyIKdcRrB5atllNxDsnNOD5PxqtG4nNJoPkzNMpxG0859qtx4Uxqnld8E8tefVsk1o9+ZO2Pr5D/b7QMr/7zXvM5jgdcPlQ1gNTI6EHLm+c8o/bzCOtvcy0vFIRN3ApqSMbnTzuPUsNkuE3fG7B45xczzFROUwZNxKYiRU3KsP8Hb/3Oz82j8EKY65OWmcxvoGkzQ1henrS9BPD1zXevqgjbrFsC6eljfYHNBIywMR8EVg+xh6MzXmizt3jhiPuG6OTrOR+GmrUVtVZDPvv4ibjmvgzu//RyZXPEPxl99/wV+9p6X0FpbZVqDzza57IiAJ1kMEEb1HkqVBEP515RuM9a60vdNj7Nugtec8I+vzDc+K4uPGBFiTLI64qSl8JB2B/H6Q3i9FVg7grA3VCy55jW9eApzX4XTu6fS6eFTWTJVlG87227sD3bA7/4Nnv2aaeEz0tpb4Kq3Qe8T5nGqD4b2AxaEFkLD1RBaDMlOM75KLm1CD18NVK00gch4P7O/zownk5eJO+PB9EGq1/RusbNOUJw0J9uJIedvQkkNY5cXcpiWU5mTa21kZZI0ZZ+GzGLw10D95VC5rHycGhEREREREYdlWdywtol7Hz9QWPcfjx6gvtLP7ZctHrMawgM7j/Ou/3puwkbP153TwCf/6HzqK/0MJzPsOBbliw/v47d7usbcfm1zmAsXV3OkL05bb4zuoSRL6kK8/Nwmbj6viZUNJfeW7Bxd/b08ue84T+7v44mDQxzqP3GD25wNRwfSHB1I87sxnvd7XM74pBW01oTMuKW1QbOuOkAk4CoGM+NOmfIAx85iKinkiiXQ7VzJOmc5lzWN+DJxM88li2PT5Cuj5Hvd2FlTASKbGD8PKuMEN5Z3xLykJNvI0m2TvW/pBoJA0AtEnGmSai4w19DpSf0QUkJBjJySFQsqaKjyjzueQJXfw9teupw/e8lSqgLFoMa2bXqGU7T1xjjc64yvEEsTTZjxF3qGUhzpi9M+ECc3xj3tgMdiUbWvkIAvjrhYFDHjybRW5Qj7Ms4vuUwx+bazkM0C0zDmQr4rYyGgcZeUu3GXP85PrhGPx33+9IY8N65r4oO3rOUff7azsG4gnuad397M99+xicCU+33OAJfzPXunuRTSdMlmysKZVDLO8b5BjvcO0Nk/SNfAEH3RIex0Eg9p3HYGr50i5M5R5clR4UzVPptqP0R8OQJWFmvMcKm0J1Jpj6TidnY2RTaVwE0OqzAuhswVPjL4soMQG4Tprmjn9prjyBMwLWs8AadMW8ncEwRf0HmcL+PmLBdKvZWXdjNj8uRD69Lu2yWPLZc5We07BN17Yd/DsP0HY/fIcrlh45vhnOtMDV8oDsJYtdqEFXWXmZPmvudNSS8wZbzCa81YMScrPxBkqMU8zmUh3W96zaT7TW+bbGL06+yc+dndTtkytzP+Us450S49Ic/X+rVtyEQh1oGNG7tyJSx97ewMwkVEREREZFa54dzGsiBmKJnhIz/ezk9/f4xPvOZ8ltVXFJ57+kAv754ghPF7XHz4FWt50xVLChUYKvweLltWyzeXXcbTB3r51K928/SBXgCuXr2At1+1nE0r6iZfscFysaCmnlddWs+rLjWrjvTFeGJ/D0/u6+Lx/T10Dp58L5xkJsf+rmH2d43dIC4ccNNaE2RxbQWtdRW01gRZVBtiYXVFofy23+OavsoT+eEHRoY22aQZoyabKM4LIU7KPLadez12ZsTwBqXLOcglxn7essx9R0bcbywt1W25MT2A8stucLlKrlNzIz5vxDALc3WM4VlAQYycEsuyuHJlPT/acrSwrsLn5vJl1Vy5sp4/vLCVmkr/mK+rr/RTX+nnwsU1475/OpujvT9Bz3CSSr+HSNBLOOg9uXDAzjmBjDPlRszHWjfuc9nie9o5p+vhNLOs8cOafNDDiJqWhRqXrtHrcBXDIcZ43rL4syuX8tyhPn6+rVimbPvRKK/4/KO84vwWbl7fxDlNVTNWBmmuy+Vsjg8mzMDtzlga+UHc23pjdEQTIwZxDzrT5FX43NRU+AoDuptjwUOk0mvWhbyF58JBLw1VfhbVBLEsi0w6zX333cctt9yC1+MpH3soHTc3s9Mxp8vpsLOudEo4ZegSZrk08Mk6x0bZPO3MnZ5LZc+nR6zPlr9unLJzQ1YFA3YFnbkwx+xa2u062u06uuxqeqii366iz64kjo8sLnK4sLHwkyZIkqCVJESSkJUkQHE5iJnyy/n1IRKESFLtSdEQyFDjSeO3E1j5LrjzJdDKl/xj+sewKYwHVBgryOeU5sq3FsrAUPeJSw0Gw3DDX0HzelNWzL/ABC3xo6Y0WMUSM9B9osuEMLmU+d0WOdc8N12/t1xu0zOltHdKNml6yqT6zZQecE6iM5AbpOx79VSYcV78dcVWSljm+Iu1mf2srGDQNYDdfLNCGBERERERmZTLltVy3sII246WVxV4+kAvL//sb3nzFUt45zUr6BpK8rZvPENyjBBmSV2Im9Y3cftli1lSVzHq+dLP+u7br6CtN47f66IxPD0NZBfVhPjjS0L88SWt2LbN/q5hntzfzRP7e/jdiz30xaZ+/y2ayLKjfYgd7UPjbuNzW4SDHsIBD5Ggj3DQV34PJuilMRxgUY3pbbOg0j/+vbL8/T1G3MP0jP/9jmLnihUZck7p7FyqWEY7vz6/TSG4GV8iA0cGoC0KR6JweMCmfThDhTfD4rDFomo3rdUeWiNB6it9WPmS2i5vccIN3vHv58rEFMTIKbtmzQI6utpZbB/gjy5r4YKmHF53F9AF/S/AQEnPkZFd5fJd6MYsA+bG6/KwOOJmcXWoJEA4yZtqlsvcBDzRIA+TYdtjBDUl9SfzU27E4xM+ny1vGW1ngAzT0nvnRCwLy3LziSstXjhi8WJf8Rf2/q5hPv/rvXz+13tZWu3mpjVBbl4T4vzmIJYr33vHVWzdPvJxYdl9gufzj2efXM5mKJVhIJamL5YqC1ja+uIc6Y1xpC9OKjtzpfbADPo+nIoDY9duHUs44GFdS4RzmyuJd1rUHehleUOYxnAAt2c6jodcSRfbVMngdiO63Y7ZHdfcfI+n4Zl2eOKIxZNHYFdPDrJZvGTwkcEGolSUjZNyMobzgVf+v/Ukq8YtDtt85CU25y8b51eObTm9GLKQzRUDpUy2OB5SxilVl0kWB8lLx0rmMRN8pYadZec5+wTBxFyRD/um8mtsyQXwis9B3TlmvJVcxowLkzhuno+ca8aEib4Ag/vNutM5qL3bD+4GM+ZMXjYBqQGn14wzzyaLPXji7WO/l8uHHVpOlztrAicREREREZFJcLssvvW2y/l/P9vJ9zYfKXsulcnxH48d4L+ePkzQ6yaaKG9U+Irzm3nXNStZ2zz5xreWZbG4buYGabcsi5UNlaxsqORNG5di2zYD8XThfszh3pm7J5PK2nQPpekeSjOZ+y8Bj4u6Ci9VQa8T3DihjdNQtqbCy8LqIK21IVprQgR9J3lvw3KZSg2Tbcxr22Szadr7hmjrHaStd5gjvTEO9yVo60/S1p+mc+hE9xyyzpQk6LFN9SFnWhQ2jxeHoXXxeVTWnkSoJAUKYuSU3XbBQm5pOcpTjz3HhQtX4HHhBA/5YGEaS4JBsSuda2SPkcmuG28q9hAZ/7MtTC3G8cfDOWWFepMnCmxKgpuyuVO3MpevXznRtiV/oJzgp9IDX7oJbvueRTwz+js42J/lS08N8aWnhlhYZXNxE0QCEPFDpc8mnrYYSEI0CdGUM0/CQBKGRzRccFsQ9pvXhv1QF4RFVdAascwUdtFc5TK9N8YNcCYodzRioLJUzmIgbhNN2gwkss48RzSRJZrIFZYHEhlnnmUgniGayDCYyIxZHm8uiCYyPPliD0++2AO4+a/9zwLgdVuFE4F8K476Cj/hkhYe+V42lT7PmDVlASfkdAaPOwmdgwl+tb2d+7d38NTBPtLZ0i/YtBZJTkdwegqCHnj35X7eerGPgDtbDFoLx2KmPDz05Vu3TPA7wbKKg+4VBuLLD8JXMjhfflC+XGac4GZ4jBAn//yIMGe80Mee2cBwWri9sOolcP6rYOWrzfguYAKOnqdNuGG5oPYi8DdA7+ZiuFG5HCJrz2yw6w5AMADBxuK6bBLSUcgMQnqwvO4wQLAZQq2QzWFb+87MfouIiIiIyJwVCXr5l9du4JUbWvjQj7ZxpK88RIilssRS5Tfgr1/byOdedwEe9+xsGJtnWRbVIR/VIR/nLRo9hkkuZ9M5mDQhTU95lZIjvTHaR1UpmT6JTI6jA87Nr0moCbqpdu69hIM+6iv9LKqtKAQ1kWDx3kLOthlOmntTA/E0Q4l02f2pbM4mmkgTjZthHrqHUrT1xTjaFy8bB3oq4hmLPb2wpze/pvT+0A7u2DTMh29ePS2fdTZRECNTU3MhPe527MbrwOv80hi3JJjTGj6XPnGJsNIwIs/OmVqJM3U/sXCTdayQZpzH+ZJfE5YAK3nfsp4gTnmaQogwAyHPSPk6lXZ5aLO6IcfX39THX/9oH0f6x6/HeXTQ4mhZJaOTL/3TN8bQCs7OAVncVobmyhStYWioKAlufDaekgYEuRxEU1ZZ8DNQshxNMmawdCZEAhatEbczeQgHnB/EssjZJrDKB0O9sRxHBtK0RzNkp/mEIZ21OdgT42DPiQcccVlQFSjvhlvauiPsTGadx6mpWvwHytk2HQMJ02KlL8b2owM8e6hvyidBEb9phdFYUQz0zP8Ru+yxp+R80gKqfMXtXS44NgiHB6BtEKq8sHERNFTEIRcf/Tsmf3zaGdMFOB8427lifdbC762ScHRSvcZKll0+czPfHXRu6oegagG4Fo0OcyzP5HsJ2rYpLVca4pT1yCkNc4bKg518mJMaGicIijHp7kZjqWyCuuVQ3wJrroXIQjPmS77Ldqofep4xYYzLB/WXgbsCen5nxmyxXFBzYXE8l9nG7Qf3AmDBxNvNcM86ERERERGZ365avYBfvu8qPv2rPXzzyYPj3pC/dGkNX7z9wlkfwkyGy2XRFAnQFAlw6dLaUc+nMjmO9ccL9yVKQ5q2vji9wyc/Hs2p6otn6YvPkyoYwIKqk2uYK4aCGJl+01kSDIo3Nu2SlukTrsuODnPKti3tNVLaQyQ/gNZpHgNionJeY4U3Y207bikw9xg3gq0R23vBcnH56jCP/H9LeK6tn19s6+CXOzo42j/5cljTJWtbHBmEI6OGrpgdocpY/O7yLput4fLHYT+Y7p2Tl8lB+5CZBpIwkDA9jgYSljMv9kLKP9efmL7wKWfDgNO64nTyeywWRdy0hi0WV2Vprco43WDNdxnxY0pQ+arNzfr8ZHnLg4nS43yM3wPLarMsG/d3xHg90ywmHZjauWIAXSjLlnEG3cuvyzjLGcYPM6yxj2HLbcIal9+ZB4q9lNzBYpiTD3byvQQDQQhWjhEWl4wrdTJs24wtNLIHTzpmSrOlnbGG8gPZW85nhGqhIgz2IKT6zHsFFpjSYi6v2X5wr5ls25Qbq7vcbNf9OKSHzHZ1l5aP3SIiIiIiInKWqvB7+L+vPJe3XLmUzz64lx9tOVLWk2JNYxX/8eZLT2785TnM53GxtL6CpfVjl9HKZHMMOr1Ooglz/yMazxTuhRTXpemPpTnaH+dIX2xEdY+5pzbkobUmwKKaIItqQkQTWY70JUyvmv74pH6+1tqZK1E3nymIkdnPlS8BNAMli0p7iIzoJTJ2qa8xgpwTlQ4j33J+jPJgUBIAnXlu4FKvxaUXufi7iyy2dbn5xT6b+/fZHOif239opsLtsmgK+1lcG6S1JkBrdcDMa3y0VvtZUOk2MZGdw/x753tJ5P9tbTPll8t6UpTOi9t47BytlTatpa/BHud1Zm7bWY5FbbZ35djRmWN7Z449HXG6M0ESs6R3UCm3ZbOhETYtgisW2qyuhfoQuKyS0MqywFNlylT5681N95MsiTZtTlhGcLzSgBOVGHSmbNIZ7D1l5nZJeFMW5qQo9BRMj0orx1co2egtjtFVWC4ZeK+wbpygZqz1+WW3G9weE7LgjHViWYDlhFApyCXMz5fsgWR/cZuKpWbcF8tlfq6+LaYUGZjeLtXnQyYGPU+Z78oTNMGMBrYXEREREREp01ob4tN/vIF3XrOcLz60j2cO9nFBazUffeW5REKnoRrLHOFxu6ip8FFTMfn7jdmczfFogmP98WJYE0s7Ze6LwU3XUJK23jjdQ6dhDOgRQl6b1ipKGrUWx3dZFIZKXwpIAdHyF7o8ZG03HcNu2gZdtEWhLQpHBmzaojnaBrIcH8xiA601kxy7RsooiJGzW75l+SkOCH7K7BHhzJhhzViPs1N47YhwoGx96b6ZEmEWcH69mf7mctjdA48dge5YcUyYwZQZWyNSGPelWB4q4ocKnylxlZfKlo8h0zFk0Tbo/GKPwmBq5sKCoAfCAReRgIuw38wjARfhgLswRYIewn4zjwQ9piRXwEOF34NV1tto5Lg0I9aP6nl0ekIQC1jYDAvXwMuBdDrNfffdx80338hAIkdb3zBthbqpMY4NJJyWHuaEIZrIzHiFpEqfxXUr/Ny0ys9Vy7xUeqHQG8TlNeWnLK/pyeGLgCd88r00ZsrpLCM4XhCcc8o75hKQjRenTNLMc6VzJ9jJ97jJH/fZWDEMLA0Kiz/o2CFNaXhTeG4KpxHeMFS0QnChCdeSPRBrg9hRpweNF6rPg9BCSHRCz7PmO/CGof5y839ERERERERExrSyoYrPvv7CM70b84rbZdFSHaSlenJBRCyV4UhfnO7BZCG46Y+l6YgmTKm03hhH+mIkM+U3Y0I+N5GQKQ9fFfDgcRVLyVkWhP0ews49reqgxcKwl9aIm8XVbmqDNlZh+Ic0ZWPfli7nG5fm5TK4gYUhM13RyCjJLBx1nUtLU5iZGzti/lIQI3ImFG7ozgKlPTFKQxxs55ezjUWOcxpynHPOWNuMWGePeI6Rwc9YPUZy2LksA4kchwdytA3kODKQoy+RM6FNwiaaHHWrmEpfeQgULgmB8vOIH6r84HfDSf+RyAExZ5qKfK+AsuCmNKgZK7wZK9wZLwQa+V7ONpksPnsAK9XLAr+PBc1uLmqJADVjvr8NDKVyZkC4WHk33BSvNF8AABhpSURBVPw8P1hcdERX3YF4msyI7qs1FT5aa4KFwecuXFzNlSvrz5pu0FNS6Ak4DaFPLm16keSSTo8bZ7l0no07wU0a8x/fZszQ1s4Vw558Dy3L7YQzTq8by1Oyzglw3H5wOeXSPCEzubyml8vwQRO+ZIaL+xxogJoNZvvhNuj/vfmswAKovWRqAZCIiIiIiIjIaRDyeVjdWMXqxllczSE3cuiHMcIaZ9mfy7A8VA9eN+m0gpiTpTsZIme7spDgDO4GUO1M54+1wYSB0YmCnjFCoVHrR4dDk36vUfswVi+j/OtOHyuboSa7G6unypSMOtH2QBVQZblYaLkgYEFwgqAIF1h+sEKM30uoJPBxDUMyBqmJBq4/wfsUtpl9pdZmrXwgQuWJt81lncAmOXZgU5innNBmAnbObEuyPGQZdz89EGyBUCv4a83rB3bC4H7zfGiRCWdmS4gtIiIiIiIiMte5zkCloLOUghgRmRtmSWA0KSPGe5kwPJpoXJnJ9DSa6L3SKTJWyIyx4naN/f5jhUOzaNyicRVCoZEl4MbrITTGmCal4564xhoDZZzxUMq2m2eBkMsNrhAwiYH38kHLmCHNiHV2pvz/lGWZ3i7uILhDZvyfYHOxp0t6CHo3Q9qpWVu1CiLnTPuPKyIiIiIiIiJyOiiIERGZbrMkNLLTaXrcUeyGq8E7QYmrkT1/xis5N+keSeO9Nlu+/Zil68bYboKxjBix+rQbFdSMF9icTMBzom1nSRhpucATBE5ikL78v6nlHjvEsm0YPgQDO8x2Lh/UXADBMYrTioiIiIiIiIjMEQpiRETOdpbL1CWbzV1R7XF6ApUFNmMsF9Zlndc6A97nl/PPlS2XrBtzu5L050z1HppMsHPCkOdkg6Fp6P0z3vhYmRjE2syUiZt1gQUmhHEHpv65IiIiIiIiIiJnkIIYERGZ/SynvNhsCIvyvXZGBjzjhTkTBjyT2LbwOaX7kH+fE4zTMp1OFPZMFAC5Rjy205BNQDZuxo9J9hY/x+WF8GqoWDb/Sr+JiIiIiIiIyFlJQYyIiMjJsCywzsCfz1EhzThhzskGQxOGQrkRnz+DvX8CCyC0GIJNs6f8moiIiIiIiIjINFAQIyIiMheMV9ZrJo3s/TOyxNuoIGeCgKj0seUx48u4Ambuq3PGmxERERERERERmX8UxIiIiMjYzlTvHxERERERERGReUS1P0RERERERERERERERGaIghgREREREREREREREZEZoiBGRERERERERERERERkhiiIERERERERERERERERmSEKYkRERERERERERERERGaIghgREREREREREREREZEZoiBGRERERERERERERERkhiiIERERERERERERERERmSEKYkRERERERERERERERGaIghgREREREREREREREZEZoiBGRERERERERERERERkhiiIERERERERERERERERmSEKYkRERERERERERERERGaIghgREREREREREREREZEZoiBGRERERERERERERERkhiiIERERERERERERERERmSEKYkRERERERERERERERGaIghgREREREREREREREZEZoiBGRERERERERERERERkhiiIERERERERERERERERmSFnVRBzzz33sGzZMgKBABdffDGPPvromd4lERERERERERERERGZx86aIOa73/0u73vf+/jwhz/Mli1beOlLX8rNN9/M4cOHz/SuiYiIiIiIiIiIiIjIPOU50ztwutx999289a1v5W1vexsAn/3sZ/nlL3/Jv/3bv/Gxj31s1PbJZJJkMll4HI1GAUin06TT6dOz03NA/rvQdyIy++j4FJkbdKyKzB06XkXmJh27InOHjleRuUHHatFkvwPLtm17hvfljEulUoRCIb73ve/x6le/urD+ve99L88//zyPPPLIqNfcdddd/P3f//2o9f/1X/9FKBSa0f0VEREREREREREREZHZLRaLcfvttzMwMEA4HB53u7OiR0x3dzfZbJbGxsay9Y2NjXR0dIz5mg9+8IO8//3vLzyORqO0trZy4403TviFnm3S6TQPPPAAN9xwA16v90zvjoiU0PEpMjfoWBWZO3S8isxNOnZF5g4dryJzg47VonwlrRM5K4KYPMuyyh7btj1qXZ7f78fv95dtCxCPx8/6/1yl0uk0sViMeDxOJpM507sjIiV0fIrMDTpWReYOHa8ic5OOXZG5Q8eryNygY7UoHo8DxfxgPGdFEFNfX4/b7R7V+6Wzs3NUL5nxDA4OAtDa2jrt+yciIiIiIiIiIiIiInPT4OAgkUhk3OfPiiDG5/Nx8cUX88ADD5SNEfPAAw9w2223Teo9WlpaaGtro6qqatxeNGejfMm2trY2lWwTmWV0fIrMDTpWReYOHa8ic5OOXZG5Q8eryNygY7XItm0GBwdpaWmZcLuzIogBeP/738+b3vQmLrnkEjZu3MhXvvIVDh8+zDve8Y5Jvd7lcrFo0aIZ3su5KxwOn/UHnchspeNTZG7QsSoyd+h4FZmbdOyKzB06XkXmBh2rxkQ9YfLOmiDmda97HT09PfzDP/wD7e3trF+/nvvuu48lS5ac6V0TEREREREREREREZF56qwJYgDuvPNO7rzzzjO9GyIiIiIiIiIiIiIicpZwnekdkLnN7/fz0Y9+FL/ff6Z3RURG0PEpMjfoWBWZO3S8isxNOnZF5g4dryJzg47Vk2fZtm2f6Z0QERERERERERERERGZj9QjRkREREREREREREREZIYoiBEREREREREREREREZkhCmJERERERERERERERERmiIIYERERERERERERERGRGaIgZh762Mc+xqWXXkpVVRUNDQ38wR/8Abt37y7bxrZt7rrrLlpaWggGg1xzzTXs2LGjbJtkMsl73vMe6uvrqaio4FWvehVHjhwp22bPnj3cdttt1NfXEw6HufLKK3n44YdPuI/btm3j6quvJhgMsnDhQv7hH/4B27YLz7e3t3P77bezZs0aXC4X73vf+079CxGZRebD8fnYY49x5ZVXUldXRzAY5JxzzuEzn/nMFL4VkdlnPhyrv/nNb7Asa9S0a9euKXwzIrPPfDhe77jjjjGP13Xr1k3hmxGZ3ebDsQvwr//6r6xdu5ZgMMiaNWv45je/eYrfiMjsNduP10QiwR133MF5552Hx+PhD/7gD0Zto/tMcjY4ncfqc889xw033EB1dTV1dXW8/e1vZ2ho6IT7eDbfE1YQMw898sgjvOtd7+J3v/sdDzzwAJlMhhtvvJHh4eHCNp/85Ce5++67+eIXv8gzzzxDU1MTN9xwA4ODg4Vt3ve+9/GjH/2I73znOzz22GMMDQ1x6623ks1mC9u84hWvIJPJ8NBDD7F582YuuOACbr31Vjo6Osbdv2g0yg033EBLSwvPPPMMX/jCF/jUpz7F3XffXdgmmUyyYMECPvzhD7Nhw4Zp/oZEzpz5cHxWVFTw7ne/m9/+9re88MILfOQjH+EjH/kIX/nKV6b52xI5c+bDsZq3e/du2tvbC9OqVaum6VsSmR3mw/H6uc99ruw4bWtro7a2lte+9rXT/G2JzB7z4dj9t3/7Nz74wQ9y1113sWPHDv7+7/+ed73rXfzv//7vNH9bImfWbD9es9kswWCQv/zLv+T6668fcxvdZ5Kzwek6Vo8dO8b111/PypUreeqpp7j//vvZsWMHd9xxx4T7d9bfE7Zl3uvs7LQB+5FHHrFt27ZzuZzd1NRkf/zjHy9sk0gk7EgkYn/pS1+ybdu2+/v7ba/Xa3/nO98pbHP06FHb5XLZ999/v23btt3V1WUD9m9/+9vCNtFo1AbsBx98cNz9ueeee+xIJGInEonCuo997GN2S0uLncvlRm1/9dVX2+9973tP7YcXmeXm+vGZ9+pXv9p+4xvfeJI/vcjcMReP1YcfftgG7L6+vql/ASJzyFw8Xkf60Y9+ZFuWZR88ePAUvgGRuWkuHrsbN260P/CBD5S97r3vfa995ZVXnurXIDInzLbjtdSf/umf2rfddtuE2+g+k5wtZupY/fKXv2w3NDTY2Wy2sM2WLVtswN67d++4+3O23xNWj5izwMDAAAC1tbUAHDhwgI6ODm688cbCNn6/n6uvvponnngCgM2bN5NOp8u2aWlpYf369YVt6urqWLt2Ld/85jcZHh4mk8nw5S9/mcbGRi6++OJx9+fJJ5/k6quvxu/3F9a9/OUv59ixYxw8eHDafm6RuWA+HJ9btmzhiSee4Oqrrz61L0FkDpjLx+qFF15Ic3MzL3vZyyZVhkVkrpvLx2veV7/6Va6//nqWLFlyal+CyBw0F4/dZDJJIBAoe10wGOTpp58mnU5P4dsQmd1m2/EqImObqWM1mUzi8/lwuYrRQjAYBEw5+/Gc7feEFcTMc7Zt8/73v5+XvOQlrF+/HqDQnbOxsbFs28bGxsJzHR0d+Hw+ampqxt3GsiweeOABtmzZQlVVFYFAgM985jPcf//9VFdXj7tPHR0dY3526b6JnA3m+vG5aNEi/H4/l1xyCe9617t429vedpLfgMjcMFeP1ebmZr7yla/wgx/8gB/+8IesWbOGl73sZfz2t789xW9CZPabq8drqfb2dn7xi1/o76qcVebqsfvyl7+c//iP/2Dz5s3Yts2zzz7LvffeSzqdpru7+xS/DZHZbTYeryIy2kweq9dddx0dHR38y7/8C6lUir6+Pj70oQ8B5lx2PGf7PWEFMfPcu9/9brZu3cp///d/j3rOsqyyx7Ztj1o3Uuk2tm1z55130tDQwKOPPsrTTz/Nbbfdxq233lo46NatW0dlZSWVlZXcfPPNE372WOtF5rO5fnw++uijPPvss3zpS1/is5/97Jg/h8h8MFeP1TVr1vDnf/7nXHTRRWzcuJF77rmHV7ziFXzqU586yW9AZO6Yq8drqa9//etUV1ePOdCwyHw1V4/dv/u7v+Pmm2/miiuuwOv1cttttxXq47vd7pP4BkTmjtl6vIpIuZk8VtetW8c3vvENPv3pTxMKhWhqamL58uU0NjYW/v7pnvBonjO9AzJz3vOe9/DTn/6U3/72tyxatKiwvqmpCTBJY3Nzc2F9Z2dnIYVsamoqJJqlCWhnZyebNm0C4KGHHuJnP/sZfX19hMNhAO655x4eeOABvvGNb/C3f/u33HfffYUu2fkuak1NTaNSzs7OTmB0IisyX82H43PZsmUAnHfeeRw/fpy77rqLN7zhDVP8ZkRml/lwrJa64oor+Na3vnVqX4bILDcfjlfbtrn33nt505vehM/nm/qXIjIHzOVjNxgMcu+99/LlL3+Z48ePF3qjVlVVUV9fP31fksgsMVuPVxEpN9PHKsDtt9/O7bffzvHjx6moqMCyLO6+++7CvSLdEx5NPWLmIdu2efe7380Pf/hDHnroocIBkLds2TKampp44IEHCutSqRSPPPJI4YC6+OKL8Xq9Zdu0t7ezffv2wjaxWAygrB5g/nEulwNgyZIlrFy5kpUrV7Jw4UIANm7cyG9/+1tSqVThNb/61a9oaWlh6dKl0/QtiMxO8/X4tG2bZDJ5sl+HyKw1X4/VLVu2lJ1wi8wH8+l4feSRR9i3bx9vfetbp/KViMwJ8+nY9Xq9LFq0CLfbzXe+8x1uvfXWUZ8nMpfN9uNVRIzTdayWamxspLKyku9+97sEAgFuuOEGQPeEx2TLvPPOd77TjkQi9m9+8xu7vb29MMViscI2H//4x+1IJGL/8Ic/tLdt22a/4Q1vsJubm+1oNFrY5h3veIe9aNEi+8EHH7Sfe+45+7rrrrM3bNhgZzIZ27Ztu6ury66rq7P/8A//0H7++eft3bt32x/4wAdsr9drP//88+PuX39/v93Y2Gi/4Q1vsLdt22b/8Ic/tMPhsP2pT32qbLstW7bYW7ZssS+++GL79ttvt7ds2WLv2LFjmr8tkdNrPhyfX/ziF+2f/vSn9p49e+w9e/bY9957rx0Oh+0Pf/jDM/CNiZwZ8+FY/cxnPmP/6Ec/svfs2WNv377d/tu//VsbsH/wgx/MwDcmcubMh+M1741vfKN9+eWXT+O3IzJ7zYdjd/fu3fZ//ud/2nv27LGfeuop+3Wve51dW1trHzhwYPq/MJEzaLYfr7Zt2zt27LC3bNliv/KVr7Svueaawj2lUrrPJPPd6TpWbdu2v/CFL9ibN2+2d+/ebX/xi1+0g8Gg/bnPfW7C/Tvb7wkriJmHgDGnr33ta4Vtcrmc/dGPftRuamqy/X6/fdVVV9nbtm0re594PG6/+93vtmtra+1gMGjfeuut9uHDh8u2eeaZZ+wbb7zRrq2ttauqquwrrrjCvu+++064j1u3brVf+tKX2n6/325qarLvuusuO5fLnfDnWLJkySl/LyKzwXw4Pj//+c/b69ats0OhkB0Oh+0LL7zQvueee+xsNju1L0dkFpkPx+onPvEJe8WKFXYgELBramrsl7zkJfbPf/7zqX0xIrPQfDhebdtcmAaDQfsrX/nKqX8ZInPIfDh2d+7caV9wwQV2MBi0w+Gwfdttt9m7du2a2hcjMgvNheN1yZIlY+7jiX4O3WeS+eR0HqtvetOb7NraWtvn89nnn3++/c1vfnNS+3g23xO2bNsZEUdERERERERERERERESmlYqWioiIiIiIiIiIiIiIzBAFMSIiIiIiIiIiIiIiIjNEQYyIiIiIiIiIiIiIiMgMURAjIiIiIiIiIiIiIiIyQxTEiIiIiIiIiIiIiIiIzBAFMSIiIiIiIiIiIiIiIjNEQYyIiIiIiIiIiIiIiMgMURAjIiIiIiIiIiIiIiIyQxTEiIiIiIiIiIiIiIiIzBAFMSIiIiIicta54447sCwLy7Lwer00NjZyww03cO+995LL5Sb9Pl//+teprq6euR0VEREREZE5T0GMiIiIiIiclW666Sba29s5ePAgv/jFL7j22mt573vfy6233komkznTuyciIiIiIvOEghgRERERETkr+f1+mpqaWLhwIRdddBEf+tCH+MlPfsIvfvELvv71rwNw9913c95551FRUUFrayt33nknQ0NDAPzmN7/hLW95CwMDA4XeNXfddRcAqVSKv/mbv2HhwoVUVFRw+eWX85vf/ObM/KAiIiIiInJGKYgRERERERFxXHfddWzYsIEf/vCHALhcLj7/+c+zfft2vvGNb/DQQw/xN3/zNwBs2rSJz372s4TDYdrb22lvb+cDH/gAAG95y1t4/PHH+c53vsPWrVt57Wtfy0033cTevXvP2M8mIiIiIiJnhmXbtn2md0JEREREROR0uuOOO+jv7+fHP/7xqOde//rXs3XrVnbu3Dnque9973u8853vpLu7GzBjxLzvfe+jv7+/sM3+/ftZtWoVR44coaWlpbD++uuv57LLLuOf//mfp/3nERERERGR2ctzpndARERERERkNrFtG8uyAHj44Yf553/+Z3bu3Ek0GiWTyZBIJBgeHqaiomLM1z/33HPYts3q1avL1ieTSerq6mZ8/0VEREREZHZRECMiIiIiIlLihRdeYNmyZRw6dIhbbrmFd7zjHfzjP/4jtbW1PPbYY7z1rW8lnU6P+/pcLofb7Wbz5s243e6y5yorK2d690VEREREZJZRECMiIiIiIuJ46KGH2LZtG3/1V3/Fs88+SyaT4dOf/jQulxle83/+53/Ktvf5fGSz2bJ1F154Idlsls7OTl760peetn0XEREREZHZSUGMiIiIiIiclZLJJB0dHWSzWY4fP87999/Pxz72MW699Vbe/OY3s23bNjKZDF/4whd45StfyeOPP86XvvSlsvdYunQpQ0ND/PrXv2bDhg2EQiFWr17Nn/zJn/DmN7+ZT3/601x44YV0d3fz0EMPcd5553HLLbecoZ9YRERERETOBNeZ3gEREREREZEz4f7776e5uZmlS5dy00038fDDD/P5z3+en/zkJ7jdbi644ALuvvtuPvGJT7B+/Xq+/e1v87GPfazsPTZt2sQ73vEOXve617FgwQI++clPAvC1r32NN7/5zfz1X/81a9as4VWvehVPPfUUra2tZ+JHFRERERGRM8iybds+0zshIiIiIiIiIiIiIiIyH6lHjIiIiIiIiIiIiIiIyAxRECMiIiIiIiIiIiIiIjJDFMSIiIiIiIiIiIiIiIjMEAUxIiIiIiIiIiIiIiIiM0RBjIiIiIiIiIiIiIiIyAxRECMiIiIiIiIiIiIiIjJDFMSIiIiIiIiIiIiIiIjMEAUxIiIiIiIiIiIiIiIiM0RBjIiIiIiIiIiIiIiIyAxRECMiIiIiIiIiIiIiIjJDFMSIiIiIiIiIiIiIiIjMkP8frvw3Ji7Yg2wAAAAASUVORK5CYII=",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 2000x800 with 1 Axes>"
       ]
@@ -1039,7 +1122,7 @@
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 2000x800 with 1 Axes>"
       ]
@@ -1051,7 +1134,7 @@
    "source": [
     "# Plot for selected year\n",
     "\n",
-    "selected_year = 2008\n",
+    "selected_year = 2013\n",
     "\n",
     "plot_ensemble(\n",
     "    ensemble_data=ensemble_data_ERA5,\n",
@@ -1063,7 +1146,13 @@
     "    ensemble_data=ensemble_data_CMIP,\n",
     "    plot_start=pd.to_datetime(f\"{selected_year}-01-01\"),\n",
     "    plot_end=pd.to_datetime(f\"{selected_year}-12-31\")\n",
-    ")"
+    ")\n",
+    "\n",
+    "# plot_ensemble(\n",
+    "#     ensemble_data=ensemble_data_QDM,\n",
+    "#     plot_start=pd.to_datetime(f\"{selected_year}-01-01\"),\n",
+    "#     plot_end=pd.to_datetime(f\"{selected_year}-12-31\")\n",
+    "# )"
    ]
   },
   {
@@ -1076,7 +1165,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 80,
+   "execution_count": 87,
    "id": "dcc14e37-5aea-4b00-ae71-32b68ee03d4a",
    "metadata": {},
    "outputs": [],
@@ -1107,7 +1196,6 @@
     "\n",
     "        # Count observed lowflow days\n",
     "        for j in range(len(year_data)):\n",
-    "\n",
     "            observed_q = year_data.iloc[j][\"Observed discharge\"]\n",
     "\n",
     "            if observed_q < q_critical:\n",
@@ -1115,7 +1203,6 @@
     "\n",
     "        # Count model mean lowflow days\n",
     "        for j in range(len(year_data)):\n",
-    "\n",
     "            modelmean_q = year_data.iloc[j][\"Mean\"]\n",
     "\n",
     "            if modelmean_q < q_critical:\n",
@@ -1123,11 +1210,9 @@
     "\n",
     "        # Count modelled lowflow days\n",
     "        for j in range(len(par_ensemble)):\n",
-    "\n",
     "            set_lowflow_days = 0\n",
     "\n",
     "            for k in range(len(year_data)):\n",
-    "\n",
     "                set_q = year_data.iloc[k][f\"Set {j+1}\"]\n",
     "\n",
     "                if set_q < q_critical:\n",
@@ -1151,15 +1236,48 @@
     "\n",
     "    lowflow_days = pd.DataFrame(lowflow_days)\n",
     "\n",
+    "    days_sum = lowflow_days[[\"observed\", \"modelmean\", \"set_1\", \"set_2\", \"set_3\", \"set_4\", \"set_5\", \"set_avg\"]].sum()\n",
+    "\n",
+    "    print(days_sum)\n",
+    "\n",
     "    return lowflow_days"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 90,
+   "execution_count": 91,
    "id": "7460b853-5619-44c9-ac89-3c6fc099bde6",
    "metadata": {},
    "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">observed     <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">532.0</span>\n",
+       "modelmean    <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">538.0</span>\n",
+       "set_1        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">711.0</span>\n",
+       "set_2        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">464.0</span>\n",
+       "set_3        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">546.0</span>\n",
+       "set_4        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">558.0</span>\n",
+       "set_5        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">376.0</span>\n",
+       "set_avg      <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">532.0</span>\n",
+       "dtype: float64\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "observed     \u001b[1;36m532.0\u001b[0m\n",
+       "modelmean    \u001b[1;36m538.0\u001b[0m\n",
+       "set_1        \u001b[1;36m711.0\u001b[0m\n",
+       "set_2        \u001b[1;36m464.0\u001b[0m\n",
+       "set_3        \u001b[1;36m546.0\u001b[0m\n",
+       "set_4        \u001b[1;36m558.0\u001b[0m\n",
+       "set_5        \u001b[1;36m376.0\u001b[0m\n",
+       "set_avg      \u001b[1;36m532.0\u001b[0m\n",
+       "dtype: float64\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
     {
      "data": {
       "text/html": [
@@ -1195,18 +1313,66 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
+       "      <td>1996</td>\n",
+       "      <td>0</td>\n",
+       "      <td>110</td>\n",
+       "      <td>111</td>\n",
+       "      <td>100</td>\n",
+       "      <td>99</td>\n",
+       "      <td>101</td>\n",
+       "      <td>113</td>\n",
+       "      <td>105.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1997</td>\n",
+       "      <td>0</td>\n",
+       "      <td>38</td>\n",
+       "      <td>52</td>\n",
+       "      <td>34</td>\n",
+       "      <td>36</td>\n",
+       "      <td>39</td>\n",
+       "      <td>35</td>\n",
+       "      <td>39.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1998</td>\n",
+       "      <td>44</td>\n",
+       "      <td>6</td>\n",
+       "      <td>11</td>\n",
+       "      <td>0</td>\n",
+       "      <td>5</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>4.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1999</td>\n",
+       "      <td>35</td>\n",
+       "      <td>20</td>\n",
+       "      <td>39</td>\n",
+       "      <td>7</td>\n",
+       "      <td>21</td>\n",
+       "      <td>24</td>\n",
+       "      <td>2</td>\n",
+       "      <td>19.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
        "      <td>2000</td>\n",
        "      <td>20</td>\n",
-       "      <td>31</td>\n",
+       "      <td>29</td>\n",
        "      <td>36</td>\n",
-       "      <td>28</td>\n",
+       "      <td>26</td>\n",
        "      <td>29</td>\n",
        "      <td>29</td>\n",
-       "      <td>28</td>\n",
-       "      <td>30.0</td>\n",
+       "      <td>22</td>\n",
+       "      <td>28.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1</th>\n",
+       "      <th>5</th>\n",
        "      <td>2001</td>\n",
        "      <td>60</td>\n",
        "      <td>0</td>\n",
@@ -1218,7 +1384,7 @@
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2</th>\n",
+       "      <th>6</th>\n",
        "      <td>2002</td>\n",
        "      <td>52</td>\n",
        "      <td>0</td>\n",
@@ -1230,7 +1396,7 @@
        "      <td>2.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>3</th>\n",
+       "      <th>7</th>\n",
        "      <td>2003</td>\n",
        "      <td>51</td>\n",
        "      <td>6</td>\n",
@@ -1242,7 +1408,7 @@
        "      <td>7.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>4</th>\n",
+       "      <th>8</th>\n",
        "      <td>2004</td>\n",
        "      <td>5</td>\n",
        "      <td>23</td>\n",
@@ -1254,7 +1420,7 @@
        "      <td>23.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>5</th>\n",
+       "      <th>9</th>\n",
        "      <td>2005</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
@@ -1266,7 +1432,7 @@
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>6</th>\n",
+       "      <th>10</th>\n",
        "      <td>2006</td>\n",
        "      <td>42</td>\n",
        "      <td>24</td>\n",
@@ -1278,7 +1444,7 @@
        "      <td>24.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>7</th>\n",
+       "      <th>11</th>\n",
        "      <td>2007</td>\n",
        "      <td>25</td>\n",
        "      <td>26</td>\n",
@@ -1290,7 +1456,7 @@
        "      <td>25.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>8</th>\n",
+       "      <th>12</th>\n",
        "      <td>2008</td>\n",
        "      <td>37</td>\n",
        "      <td>21</td>\n",
@@ -1302,7 +1468,7 @@
        "      <td>22.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>9</th>\n",
+       "      <th>13</th>\n",
        "      <td>2009</td>\n",
        "      <td>42</td>\n",
        "      <td>13</td>\n",
@@ -1313,63 +1479,596 @@
        "      <td>0</td>\n",
        "      <td>12.0</td>\n",
        "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>2010</td>\n",
+       "      <td>6</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>2011</td>\n",
+       "      <td>36</td>\n",
+       "      <td>0</td>\n",
+       "      <td>7</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>2012</td>\n",
+       "      <td>13</td>\n",
+       "      <td>91</td>\n",
+       "      <td>91</td>\n",
+       "      <td>88</td>\n",
+       "      <td>90</td>\n",
+       "      <td>91</td>\n",
+       "      <td>64</td>\n",
+       "      <td>85.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>2013</td>\n",
+       "      <td>21</td>\n",
+       "      <td>131</td>\n",
+       "      <td>130</td>\n",
+       "      <td>131</td>\n",
+       "      <td>132</td>\n",
+       "      <td>133</td>\n",
+       "      <td>127</td>\n",
+       "      <td>131.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>2014</td>\n",
+       "      <td>43</td>\n",
+       "      <td>0</td>\n",
+       "      <td>21</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>4.0</td>\n",
+       "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "   year  observed  modelmean  set_1  set_2  set_3  set_4  set_5  set_avg\n",
-       "0  2000        20         31     36     28     29     29     28     30.0\n",
-       "1  2001        60          0      0      0      0      0      0      0.0\n",
-       "2  2002        52          0      8      0      0      0      0      2.0\n",
-       "3  2003        51          6     21      0      7      9      0      7.0\n",
-       "4  2004         5         23     41     17     27     31      0     23.0\n",
-       "5  2005         0          0      0      0      0      0      0      0.0\n",
-       "6  2006        42         24     40     20     31     29      0     24.0\n",
-       "7  2007        25         26     42     15     29     31      7     25.0\n",
-       "8  2008        37         21     38     18     23     23      6     22.0\n",
-       "9  2009        42         13     23      8     14     16      0     12.0"
+       "    year  observed  modelmean  set_1  set_2  set_3  set_4  set_5  set_avg\n",
+       "0   1996         0        110    111    100     99    101    113    105.0\n",
+       "1   1997         0         38     52     34     36     39     35     39.0\n",
+       "2   1998        44          6     11      0      5      2      0      4.0\n",
+       "3   1999        35         20     39      7     21     24      2     19.0\n",
+       "4   2000        20         29     36     26     29     29     22     28.0\n",
+       "5   2001        60          0      0      0      0      0      0      0.0\n",
+       "6   2002        52          0      8      0      0      0      0      2.0\n",
+       "7   2003        51          6     21      0      7      9      0      7.0\n",
+       "8   2004         5         23     41     17     27     31      0     23.0\n",
+       "9   2005         0          0      0      0      0      0      0      0.0\n",
+       "10  2006        42         24     40     20     31     29      0     24.0\n",
+       "11  2007        25         26     42     15     29     31      7     25.0\n",
+       "12  2008        37         21     38     18     23     23      6     22.0\n",
+       "13  2009        42         13     23      8     14     16      0     12.0\n",
+       "14  2010         6          0      0      0      0      0      0      0.0\n",
+       "15  2011        36          0      7      0      3      0      0      2.0\n",
+       "16  2012        13         91     91     88     90     91     64     85.0\n",
+       "17  2013        21        131    130    131    132    133    127    131.0\n",
+       "18  2014        43          0     21      0      0      0      0      4.0"
       ]
      },
-     "execution_count": 90,
+     "execution_count": 91,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "# lowflow_counter_ensemble(\n",
+    "# lowflow_ERA5 = lowflow_counter_ensemble(\n",
     "#     ensemble_data=ensemble_data_ERA5,\n",
     "#     start_date=evaluation_start,\n",
     "#     end_date=validation_end_date\n",
     "# )\n",
     "\n",
-    "lowflow_counter_ensemble(\n",
+    "lowflow_CMIP = lowflow_counter_ensemble(\n",
     "    ensemble_data=ensemble_data_CMIP,\n",
     "    start_date=evaluation_start,\n",
     "    end_date=validation_end_date\n",
-    ")"
+    ")\n",
+    "\n",
+    "# lowflow_counter_ensemble(\n",
+    "#     ensemble_data=ensemble_data_QDM,\n",
+    "#     start_date=evaluation_start,\n",
+    "#     end_date=validation_end_date\n",
+    "# )"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d98001e7-ada9-4415-ae0b-ed7cb8888319",
+   "metadata": {},
+   "source": [
+    "## 7. Cumsum"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "02d8a545-838c-4da5-9935-22f34d49f4ee",
+   "execution_count": 155,
+   "id": "1e9e205d-08bf-4f19-9b12-a0141a4fad99",
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "def rank(lowflow_ERA5, lowflow_CMIP):\n",
+    "\n",
+    "    # Combine tables\n",
+    "    rank_table = pd.DataFrame({\n",
+    "        \"Observed\": np.sort(lowflow_ERA5[\"observed\"]),\n",
+    "        \"ERA5\": np.sort(lowflow_ERA5[\"set_avg\"]),\n",
+    "        \"CMIP6\": np.sort(lowflow_CMIP[\"set_avg\"])\n",
+    "    })\n",
+    "    \n",
+    "    rank_table.insert(0, \"rank\", range(1, len(rank_table) + 1))\n",
+    "\n",
+    "    return rank_table"
+   ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "4dd215db-3fbe-44fa-9c07-26f13e64d255",
+   "execution_count": 156,
+   "id": "02d8a545-838c-4da5-9935-22f34d49f4ee",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>rank</th>\n",
+       "      <th>Observed</th>\n",
+       "      <th>ERA5</th>\n",
+       "      <th>CMIP6</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>5</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>2.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>6</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>2.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>6</td>\n",
+       "      <td>13</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>4.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>7</td>\n",
+       "      <td>20</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>4.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>8</td>\n",
+       "      <td>21</td>\n",
+       "      <td>17.0</td>\n",
+       "      <td>7.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>9</td>\n",
+       "      <td>25</td>\n",
+       "      <td>19.0</td>\n",
+       "      <td>12.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>10</td>\n",
+       "      <td>35</td>\n",
+       "      <td>22.0</td>\n",
+       "      <td>19.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>11</td>\n",
+       "      <td>36</td>\n",
+       "      <td>32.0</td>\n",
+       "      <td>22.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>12</td>\n",
+       "      <td>37</td>\n",
+       "      <td>34.0</td>\n",
+       "      <td>23.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>13</td>\n",
+       "      <td>42</td>\n",
+       "      <td>36.0</td>\n",
+       "      <td>24.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>14</td>\n",
+       "      <td>42</td>\n",
+       "      <td>41.0</td>\n",
+       "      <td>25.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>15</td>\n",
+       "      <td>43</td>\n",
+       "      <td>45.0</td>\n",
+       "      <td>28.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>16</td>\n",
+       "      <td>44</td>\n",
+       "      <td>54.0</td>\n",
+       "      <td>39.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>17</td>\n",
+       "      <td>51</td>\n",
+       "      <td>58.0</td>\n",
+       "      <td>85.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>18</td>\n",
+       "      <td>52</td>\n",
+       "      <td>59.0</td>\n",
+       "      <td>105.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>19</td>\n",
+       "      <td>60</td>\n",
+       "      <td>102.0</td>\n",
+       "      <td>131.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    rank  Observed   ERA5  CMIP6\n",
+       "0      1         0    0.0    0.0\n",
+       "1      2         0    0.0    0.0\n",
+       "2      3         0    0.0    0.0\n",
+       "3      4         5    1.0    2.0\n",
+       "4      5         6    2.0    2.0\n",
+       "5      6        13    5.0    4.0\n",
+       "6      7        20   10.0    4.0\n",
+       "7      8        21   17.0    7.0\n",
+       "8      9        25   19.0   12.0\n",
+       "9     10        35   22.0   19.0\n",
+       "10    11        36   32.0   22.0\n",
+       "11    12        37   34.0   23.0\n",
+       "12    13        42   36.0   24.0\n",
+       "13    14        42   41.0   25.0\n",
+       "14    15        43   45.0   28.0\n",
+       "15    16        44   54.0   39.0\n",
+       "16    17        51   58.0   85.0\n",
+       "17    18        52   59.0  105.0\n",
+       "18    19        60  102.0  131.0"
+      ]
+     },
+     "execution_count": 156,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "rank_table = rank(lowflow_ERA5, lowflow_CMIP)\n",
+    "\n",
+    "rank_table"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 160,
+   "id": "f87182f3-7a63-4856-9594-f53b5dd421b8",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Observed_cumsum</th>\n",
+       "      <th>ERA5_cumsum</th>\n",
+       "      <th>CMIP6_cumsum</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>5</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>2.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>11</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>4.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>24</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>8.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>44</td>\n",
+       "      <td>18.0</td>\n",
+       "      <td>12.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>65</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>19.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>90</td>\n",
+       "      <td>54.0</td>\n",
+       "      <td>31.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>125</td>\n",
+       "      <td>76.0</td>\n",
+       "      <td>50.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>161</td>\n",
+       "      <td>108.0</td>\n",
+       "      <td>72.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>198</td>\n",
+       "      <td>142.0</td>\n",
+       "      <td>95.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>240</td>\n",
+       "      <td>178.0</td>\n",
+       "      <td>119.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>282</td>\n",
+       "      <td>219.0</td>\n",
+       "      <td>144.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>325</td>\n",
+       "      <td>264.0</td>\n",
+       "      <td>172.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>369</td>\n",
+       "      <td>318.0</td>\n",
+       "      <td>211.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>420</td>\n",
+       "      <td>376.0</td>\n",
+       "      <td>296.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>472</td>\n",
+       "      <td>435.0</td>\n",
+       "      <td>401.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>532</td>\n",
+       "      <td>537.0</td>\n",
+       "      <td>532.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    Observed_cumsum  ERA5_cumsum  CMIP6_cumsum\n",
+       "0                 0          0.0           0.0\n",
+       "1                 0          0.0           0.0\n",
+       "2                 0          0.0           0.0\n",
+       "3                 5          1.0           2.0\n",
+       "4                11          3.0           4.0\n",
+       "5                24          8.0           8.0\n",
+       "6                44         18.0          12.0\n",
+       "7                65         35.0          19.0\n",
+       "8                90         54.0          31.0\n",
+       "9               125         76.0          50.0\n",
+       "10              161        108.0          72.0\n",
+       "11              198        142.0          95.0\n",
+       "12              240        178.0         119.0\n",
+       "13              282        219.0         144.0\n",
+       "14              325        264.0         172.0\n",
+       "15              369        318.0         211.0\n",
+       "16              420        376.0         296.0\n",
+       "17              472        435.0         401.0\n",
+       "18              532        537.0         532.0"
+      ]
+     },
+     "execution_count": 160,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cumsum_table = pd.DataFrame({\n",
+    "    \"Observed_cumsum\": rank_table[\"Observed\"].cumsum(),\n",
+    "     \"ERA5_cumsum\": rank_table[\"ERA5\"].cumsum(),\n",
+    "    \"CMIP6_cumsum\": rank_table[\"CMIP6\"].cumsum()\n",
+    "})\n",
+    "\n",
+    "cumsum_table"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 153,
+   "id": "78105310-3388-48fa-9471-54003b019753",
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "def plot_cumsum(rank_table):\n",
+    "\n",
+    "    plt.figure(figsize=(8, 5))\n",
+    "\n",
+    "    # Plot cumsum for all columns, skipping rank column\n",
+    "    for i in range(1, len(rank_table.columns)):\n",
+    "        plt.plot(\n",
+    "            rank_table[\"rank\"],\n",
+    "            rank_table[rank_table.columns[i]].cumsum(),\n",
+    "            marker=\"o\",\n",
+    "            label=rank_table.columns[i]\n",
+    "        )\n",
+    "\n",
+    "    # Plotting\n",
+    "    plt.xlabel(\"Ranked years\")\n",
+    "    plt.ylabel(\"Cumulative low flow days\")\n",
+    "    plt.xticks(rank_table[\"rank\"])\n",
+    "    plt.title(\"Cumulative annual low flow days\")\n",
+    "    # plt.grid(True)\n",
+    "    plt.legend()\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 154,
+   "id": "b3fa8488-2d3f-4dbd-b82c-e3f8c5bb04d8",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 800x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_cumsum(rank_table)"
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "7a08ca3c-9f66-4797-b4eb-7943785f512d",
+   "id": "b2bf2bc7-1bc9-462a-a4f9-2e04b1f0ed7c",
    "metadata": {},
    "outputs": [],
    "source": []
@@ -1377,7 +2076,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "efc2756c-f047-4ae1-a491-583e46612a75",
+   "id": "cee6e4aa-f4be-45c7-9d7a-d70782c60ad4",
    "metadata": {},
    "outputs": [],
    "source": []

From e7f83ddaa316a8cc1379556781682af946134063 Mon Sep 17 00:00:00 2001
From: Maxime <mxdebekker@gmail.com>
Date: Thu, 4 Jun 2026 10:12:09 +0200
Subject: [PATCH 09/24] File relocation & minor updates

Movement of files to thesis_projects

Minor code optimisations
---
 .../Step1_CMIP6_Forcings_Generation.ipynb     |  471 +
 .../Step1_ERA5_Forcings_Generation.ipynb      |  913 ++
 .../Workyard/Step2_Algorithm_Ice.ipynb        |  913 ++
 .../Workyard/Step3_Calibration_HBV.ipynb      | 9072 +++++++++++++++++
 .../Step4_HBV_Validation_Ensemble.ipynb       | 1107 ++
 .../Workyard/Step5_QDM_Experiment3.ipynb      | 2057 ++++
 .../Workyard/Step6_CMIP_History.ipynb         | 1756 ++++
 .../Workyard/Step7_CMIP_Projections.ipynb     |  489 +
 8 files changed, 16778 insertions(+)
 create mode 100644 book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step1_CMIP6_Forcings_Generation.ipynb
 create mode 100644 book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step1_ERA5_Forcings_Generation.ipynb
 create mode 100644 book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step2_Algorithm_Ice.ipynb
 create mode 100644 book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step3_Calibration_HBV.ipynb
 create mode 100644 book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step4_HBV_Validation_Ensemble.ipynb
 create mode 100644 book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step5_QDM_Experiment3.ipynb
 create mode 100644 book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step6_CMIP_History.ipynb
 create mode 100644 book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step7_CMIP_Projections.ipynb

diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step1_CMIP6_Forcings_Generation.ipynb b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step1_CMIP6_Forcings_Generation.ipynb
new file mode 100644
index 00000000..9edd3add
--- /dev/null
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step1_CMIP6_Forcings_Generation.ipynb
@@ -0,0 +1,471 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "e91181a8-c60f-456f-80cc-3923bf7c6a43",
+   "metadata": {},
+   "source": [
+    "# CMIP6 Data generation & merging \n",
+    "\n",
+    "CMIP6 data will be generated from 1995-2014, loaded and merged into one file\n",
+    "\n",
+    "**Note: Depending on if you want to run historical, or an ssp, changes you need to make are:**\n",
+    "1. Cell 5: Select scenario\n",
+    "2. Cell 6: Define period"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "680410be-715a-4678-a4e3-c1141939241e",
+   "metadata": {},
+   "source": [
+    "## Start-up"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "7ef3318e-968e-418e-bf4c-a8936aade9a5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# general python\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\", category=UserWarning)\n",
+    "\n",
+    "import numpy as np\n",
+    "from pathlib import Path\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import xarray as xr\n",
+    "\n",
+    "#niceties\n",
+    "from rich import print\n",
+    "\n",
+    "import yaml"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "f7ff029b-ee4b-4fe2-b5d5-bf768b626989",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General eWaterCycle\n",
+    "import ewatercycle\n",
+    "import ewatercycle.models\n",
+    "import ewatercycle.forcing"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "df3c38b4-7757-475c-a670-e7a06cc53955",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Choose what you want to run:\n",
+    "Scenario = \"ssp245\"    # Options: historical, ssp119, ssp126, ssp245, ssp,370, ssp585"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "74c8c15e-8cab-4e1a-b6eb-c9c165d8c051",
+   "metadata": {},
+   "source": [
+    "### Define range & forcing paths"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "b2343410-2713-4089-ae42-dad37b457c41",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp245/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6-20</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">25-2030</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp245/\u001b[0m\u001b[95mCMIP6-20\u001b[0m\n",
+       "\u001b[95m25-2030\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2025</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1;36m2025\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2050</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1;36m2050\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Defining period range\n",
+    "\n",
+    "# For CMIP trial:\n",
+    "# periods = [\n",
+    "#     [1995, 2000, 2005, 2010],\n",
+    "#     [1999, 2004, 2009, 2014]\n",
+    "# ]\n",
+    "\n",
+    "# periods = [\n",
+    "#     [1970, 1975, 1980, 1985, 1990, 1995],\n",
+    "#     [1974, 1979, 1984, 1989, 1994, 1999]\n",
+    "# ]\n",
+    "\n",
+    "# Future projections 2026-2050:\n",
+    "periods = [\n",
+    "    [2025, 2031, 2041],\n",
+    "    [2030, 2040, 2050]\n",
+    "]\n",
+    "\n",
+    "# Future projections 2051-2075:\n",
+    "# periods = [\n",
+    "#     [2050, 2061, 2071],\n",
+    "#     [2060, 2070, 2075]\n",
+    "# ]\n",
+    "\n",
+    "# Future projections 2076-2100:\n",
+    "# periods = [\n",
+    "#     [2075, 2081, 2091],\n",
+    "#     [2080, 2090, 2100]\n",
+    "# ]\n",
+    "\n",
+    "\n",
+    "folder_names = []\n",
+    "forcing_paths = {}\n",
+    "\n",
+    "# Generate file names & paths\n",
+    "for i in range(len(periods[0])):\n",
+    "    start_year = periods[0][i]\n",
+    "    end_year = periods[1][i]\n",
+    "    \n",
+    "    folder_name = f'CMIP6-{start_year}-{end_year}'                        \n",
+    "    # forcing_path = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / Scenario / folder_name\n",
+    "    # forcing_path = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / \"SSP\" / folder_name\n",
+    "    # forcing_path = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / \"SSP\" / folder_name\n",
+    "    # forcing_path = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / \"SSP\" / folder_name\n",
+    "    forcing_path = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / Scenario / folder_name\n",
+    "\n",
+    "    folder_names.append(folder_name)\n",
+    "    forcing_paths[folder_name] = forcing_path\n",
+    "\n",
+    "    forcing_path.mkdir(exist_ok=True, parents=True)\n",
+    "\n",
+    "# Call path test\n",
+    "print(forcing_paths[folder_names[0]])\n",
+    "\n",
+    "start_year = periods[0][0]\n",
+    "end_year = periods[1][-1]\n",
+    "\n",
+    "print(start_year)\n",
+    "print(end_year)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "619dd21a-0646-4bae-a71b-935f1fca8c04",
+   "metadata": {},
+   "source": [
+    "### Generate CMIP6 data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "cbc7b2b6-88ee-4e7f-b37c-39eaf878c075",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Skipping CMIP6-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2025</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2030</span> because the folder is not empty.\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Skipping CMIP6-\u001b[1;36m2025\u001b[0m-\u001b[1;36m2030\u001b[0m because the folder is not empty.\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Skipping CMIP6-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2031</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2040</span> because the folder is not empty.\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Skipping CMIP6-\u001b[1;36m2031\u001b[0m-\u001b[1;36m2040\u001b[0m because the folder is not empty.\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "ename": "OSError",
+     "evalue": "[Errno 28] No space left on device",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mOSError\u001b[0m                                   Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[8], line 22\u001b[0m\n\u001b[1;32m     19\u001b[0m     \u001b[38;5;28;01mcontinue\u001b[39;00m\n\u001b[1;32m     21\u001b[0m \u001b[38;5;66;03m# Load forcings\u001b[39;00m\n\u001b[0;32m---> 22\u001b[0m CMIP_forcing \u001b[38;5;241m=\u001b[39m \u001b[43mewatercycle\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mforcing\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msources\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mLumpedMakkinkForcing\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgenerate\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m     23\u001b[0m \u001b[43m    \u001b[49m\u001b[43mdataset\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mCMIP_dataset\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     24\u001b[0m \u001b[43m    \u001b[49m\u001b[43mstart_time\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstart_time_CMIP\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     25\u001b[0m \u001b[43m    \u001b[49m\u001b[43mend_time\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mend_time_CMIP\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     26\u001b[0m \u001b[43m    \u001b[49m\u001b[43mshape\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mshape_file\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     27\u001b[0m \u001b[43m    \u001b[49m\u001b[43mdirectory\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mforcing_paths\u001b[49m\u001b[43m[\u001b[49m\u001b[43mfolder_names\u001b[49m\u001b[43m[\u001b[49m\u001b[43mi\u001b[49m\u001b[43m]\u001b[49m\u001b[43m]\u001b[49m\n\u001b[1;32m     28\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     30\u001b[0m \u001b[38;5;66;03m# I need info because my patience is limited\u001b[39;00m\n\u001b[1;32m     31\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mFinished \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfolder_names[i]\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n",
+      "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/ewatercycle/_forcings/makkink.py:57\u001b[0m, in \u001b[0;36mMakkink.generate\u001b[0;34m(cls, dataset, start_time, end_time, shape, directory, **model_specific_options)\u001b[0m\n\u001b[1;32m     47\u001b[0m \u001b[38;5;129m@classmethod\u001b[39m\n\u001b[1;32m     48\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21mgenerate\u001b[39m(  \u001b[38;5;66;03m# type: ignore[override]\u001b[39;00m\n\u001b[1;32m     49\u001b[0m     \u001b[38;5;28mcls\u001b[39m: \u001b[38;5;28mtype\u001b[39m[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mMakkink\u001b[39m\u001b[38;5;124m\"\u001b[39m],\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m     55\u001b[0m     \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mmodel_specific_options,\n\u001b[1;32m     56\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mMakkink\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[0;32m---> 57\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgenerate\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m     58\u001b[0m \u001b[43m        \u001b[49m\u001b[43mdataset\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     59\u001b[0m \u001b[43m        \u001b[49m\u001b[43mstart_time\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     60\u001b[0m \u001b[43m        \u001b[49m\u001b[43mend_time\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     61\u001b[0m \u001b[43m        \u001b[49m\u001b[43mshape\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     62\u001b[0m \u001b[43m        \u001b[49m\u001b[43mdirectory\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     63\u001b[0m \u001b[43m        \u001b[49m\u001b[43mvariables\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mpr\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mtas\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mrsds\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     64\u001b[0m \u001b[43m        \u001b[49m\u001b[43mpostprocessor\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mderive_e_pot\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     65\u001b[0m \u001b[43m        \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mmodel_specific_options\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     66\u001b[0m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/ewatercycle/base/forcing.py:162\u001b[0m, in \u001b[0;36mDefaultForcing.generate\u001b[0;34m(cls, dataset, start_time, end_time, shape, directory, variables, postprocessor, **model_specific_options)\u001b[0m\n\u001b[1;32m    129\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"Generate forcings for a model.\u001b[39;00m\n\u001b[1;32m    130\u001b[0m \n\u001b[1;32m    131\u001b[0m \u001b[38;5;124;03mThe forcing is generated with help of\u001b[39;00m\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    151\u001b[0m \u001b[38;5;124;03m    model_specific_options: Subclass specific options.\u001b[39;00m\n\u001b[1;32m    152\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m    153\u001b[0m recipe \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mcls\u001b[39m\u001b[38;5;241m.\u001b[39m_build_recipe(\n\u001b[1;32m    154\u001b[0m     dataset\u001b[38;5;241m=\u001b[39mdataset,\n\u001b[1;32m    155\u001b[0m     start_time\u001b[38;5;241m=\u001b[39mget_time(start_time),\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    159\u001b[0m     \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mmodel_specific_options,\n\u001b[1;32m    160\u001b[0m )\n\u001b[0;32m--> 162\u001b[0m recipe_output \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mcls\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_run_recipe\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    163\u001b[0m \u001b[43m    \u001b[49m\u001b[43mrecipe\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdirectory\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mPath\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdirectory\u001b[49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mdirectory\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01melse\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\n\u001b[1;32m    164\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    166\u001b[0m derived_variables: \u001b[38;5;28mtuple\u001b[39m[\u001b[38;5;28mstr\u001b[39m, \u001b[38;5;241m.\u001b[39m\u001b[38;5;241m.\u001b[39m\u001b[38;5;241m.\u001b[39m] \u001b[38;5;241m=\u001b[39m ()\n\u001b[1;32m    167\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m postprocessor \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n",
+      "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/ewatercycle/base/forcing.py:217\u001b[0m, in \u001b[0;36mDefaultForcing._run_recipe\u001b[0;34m(cls, recipe, directory)\u001b[0m\n\u001b[1;32m    211\u001b[0m \u001b[38;5;129m@classmethod\u001b[39m\n\u001b[1;32m    212\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21m_run_recipe\u001b[39m(\n\u001b[1;32m    213\u001b[0m     \u001b[38;5;28mcls\u001b[39m,\n\u001b[1;32m    214\u001b[0m     recipe: Recipe,\n\u001b[1;32m    215\u001b[0m     directory: Path \u001b[38;5;241m|\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m    216\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;28mdict\u001b[39m[\u001b[38;5;28mstr\u001b[39m, \u001b[38;5;28mstr\u001b[39m]:\n\u001b[0;32m--> 217\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mrun_recipe\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrecipe\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdirectory\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/ewatercycle/esmvaltool/run.py:109\u001b[0m, in \u001b[0;36mrun_recipe\u001b[0;34m(recipe, output_dir)\u001b[0m\n\u001b[1;32m    100\u001b[0m warnings\u001b[38;5;241m.\u001b[39mfilterwarnings(  \u001b[38;5;66;03m# Not relevant for end users.\u001b[39;00m\n\u001b[1;32m    101\u001b[0m     action\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mignore\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m    102\u001b[0m     message\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mThank you for trying out the new ESMValCore API\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m    103\u001b[0m )\n\u001b[1;32m    104\u001b[0m warnings\u001b[38;5;241m.\u001b[39mfilterwarnings(  \u001b[38;5;66;03m# Hide Iris warning (upstream issue)\u001b[39;00m\n\u001b[1;32m    105\u001b[0m     action\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mignore\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m    106\u001b[0m     message\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mSaving to netcdf with legacy-style attribute\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m    107\u001b[0m )\n\u001b[0;32m--> 109\u001b[0m output \u001b[38;5;241m=\u001b[39m \u001b[43m_save_and_run_recipe\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrecipe\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43moutput_dir\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    110\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m _parse_recipe_output(output)\n",
+      "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/ewatercycle/esmvaltool/run.py:137\u001b[0m, in \u001b[0;36m_save_and_run_recipe\u001b[0;34m(recipe, output_dir)\u001b[0m\n\u001b[1;32m    135\u001b[0m     esmlvaltool_recipe \u001b[38;5;241m=\u001b[39m ESMValToolRecipe(recipe_path)\n\u001b[1;32m    136\u001b[0m     session \u001b[38;5;241m=\u001b[39m _session(output_dir)\n\u001b[0;32m--> 137\u001b[0m     output \u001b[38;5;241m=\u001b[39m \u001b[43mesmlvaltool_recipe\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrun\u001b[49m\u001b[43m(\u001b[49m\u001b[43msession\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msession\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    138\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[1;32m    139\u001b[0m     recipe_path\u001b[38;5;241m.\u001b[39munlink()\n",
+      "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/esmvalcore/experimental/recipe.py:138\u001b[0m, in \u001b[0;36mRecipe.run\u001b[0;34m(self, task, session)\u001b[0m\n\u001b[1;32m    136\u001b[0m     _dask\u001b[38;5;241m.\u001b[39mcheck_distributed_config()\n\u001b[1;32m    137\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_engine \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_load(session\u001b[38;5;241m=\u001b[39msession)\n\u001b[0;32m--> 138\u001b[0m     \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_engine\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrun\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    140\u001b[0m shutil\u001b[38;5;241m.\u001b[39mcopy2(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mpath, session\u001b[38;5;241m.\u001b[39mrun_dir)\n\u001b[1;32m    142\u001b[0m output \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mget_output()\n",
+      "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/esmvalcore/_recipe/recipe.py:1093\u001b[0m, in \u001b[0;36mRecipe.run\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   1091\u001b[0m \u001b[38;5;66;03m# Download required data\u001b[39;00m\n\u001b[1;32m   1092\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msession[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124msearch_esgf\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m!=\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mnever\u001b[39m\u001b[38;5;124m'\u001b[39m:\n\u001b[0;32m-> 1093\u001b[0m     \u001b[43mesgf\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdownload\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_download_files\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msession\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mdownload_dir\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1095\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtasks\u001b[38;5;241m.\u001b[39mrun(max_parallel_tasks\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msession[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mmax_parallel_tasks\u001b[39m\u001b[38;5;124m'\u001b[39m])\n\u001b[1;32m   1096\u001b[0m logger\u001b[38;5;241m.\u001b[39minfo(\n\u001b[1;32m   1097\u001b[0m     \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mWrote recipe with version numbers and wildcards \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m   1098\u001b[0m     \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mto:\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124mfile://\u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m\"\u001b[39m, filled_recipe)\n",
+      "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/esmvalcore/esgf/_download.py:563\u001b[0m, in \u001b[0;36mdownload\u001b[0;34m(files, dest_folder, n_jobs)\u001b[0m\n\u001b[1;32m    561\u001b[0m file \u001b[38;5;241m=\u001b[39m future_to_file[future]\n\u001b[1;32m    562\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 563\u001b[0m     \u001b[43mfuture\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mresult\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    564\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m DownloadError \u001b[38;5;28;01mas\u001b[39;00m error:\n\u001b[1;32m    565\u001b[0m     logger\u001b[38;5;241m.\u001b[39merror(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mFailed to download \u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m, error message \u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m\"\u001b[39m, file,\n\u001b[1;32m    566\u001b[0m                  error)\n",
+      "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/concurrent/futures/_base.py:449\u001b[0m, in \u001b[0;36mFuture.result\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m    447\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m CancelledError()\n\u001b[1;32m    448\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_state \u001b[38;5;241m==\u001b[39m FINISHED:\n\u001b[0;32m--> 449\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m__get_result\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    451\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_condition\u001b[38;5;241m.\u001b[39mwait(timeout)\n\u001b[1;32m    453\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_state \u001b[38;5;129;01min\u001b[39;00m [CANCELLED, CANCELLED_AND_NOTIFIED]:\n",
+      "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/concurrent/futures/_base.py:401\u001b[0m, in \u001b[0;36mFuture.__get_result\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    399\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_exception:\n\u001b[1;32m    400\u001b[0m     \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 401\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_exception\n\u001b[1;32m    402\u001b[0m     \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[1;32m    403\u001b[0m         \u001b[38;5;66;03m# Break a reference cycle with the exception in self._exception\u001b[39;00m\n\u001b[1;32m    404\u001b[0m         \u001b[38;5;28mself\u001b[39m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n",
+      "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/concurrent/futures/thread.py:58\u001b[0m, in \u001b[0;36m_WorkItem.run\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m     55\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m\n\u001b[1;32m     57\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m---> 58\u001b[0m     result \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfn\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     59\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mBaseException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m exc:\n\u001b[1;32m     60\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfuture\u001b[38;5;241m.\u001b[39mset_exception(exc)\n",
+      "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/esmvalcore/esgf/_download.py:547\u001b[0m, in \u001b[0;36mdownload.<locals>._download\u001b[0;34m(file)\u001b[0m\n\u001b[1;32m    545\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21m_download\u001b[39m(file: ESGFFile):\n\u001b[1;32m    546\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"Download file to dest_folder.\"\"\"\u001b[39;00m\n\u001b[0;32m--> 547\u001b[0m     \u001b[43mfile\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdownload\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdest_folder\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/esmvalcore/esgf/_download.py:427\u001b[0m, in \u001b[0;36mESGFFile.download\u001b[0;34m(self, dest_folder)\u001b[0m\n\u001b[1;32m    425\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m url \u001b[38;5;129;01min\u001b[39;00m sort_hosts(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39murls):\n\u001b[1;32m    426\u001b[0m     \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 427\u001b[0m         \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_download\u001b[49m\u001b[43m(\u001b[49m\u001b[43mlocal_file\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43murl\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    428\u001b[0m     \u001b[38;5;28;01mexcept\u001b[39;00m (DownloadError,\n\u001b[1;32m    429\u001b[0m             requests\u001b[38;5;241m.\u001b[39mexceptions\u001b[38;5;241m.\u001b[39mRequestException) \u001b[38;5;28;01mas\u001b[39;00m error:\n\u001b[1;32m    430\u001b[0m         logger\u001b[38;5;241m.\u001b[39mdebug(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNot able to download \u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m. Error message: \u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m\"\u001b[39m, url,\n\u001b[1;32m    431\u001b[0m                      error)\n",
+      "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/esmvalcore/esgf/_download.py:475\u001b[0m, in \u001b[0;36mESGFFile._download\u001b[0;34m(self, local_file, url)\u001b[0m\n\u001b[1;32m    473\u001b[0m         \u001b[38;5;28;01mif\u001b[39;00m hasher \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m    474\u001b[0m             hasher\u001b[38;5;241m.\u001b[39mupdate(chunk)\n\u001b[0;32m--> 475\u001b[0m         \u001b[43mfile\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mwrite\u001b[49m\u001b[43m(\u001b[49m\u001b[43mchunk\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    477\u001b[0m duration \u001b[38;5;241m=\u001b[39m datetime\u001b[38;5;241m.\u001b[39mdatetime\u001b[38;5;241m.\u001b[39mnow() \u001b[38;5;241m-\u001b[39m start_time\n\u001b[1;32m    479\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m hasher \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n",
+      "\u001b[0;31mOSError\u001b[0m: [Errno 28] No space left on device"
+     ]
+    }
+   ],
+   "source": [
+    "# Shapefile path\n",
+    "# shape_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "shape_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "\n",
+    "# Choose CMIP6 dataset\n",
+    "CMIP_dataset = {'dataset': 'MPI-ESM1-2-HR', 'project': 'CMIP6', 'grid' : 'gn', 'exp': Scenario, 'ensemble': 'r1i1p1f1'}\n",
+    "\n",
+    "\n",
+    "# Generate forcing data\n",
+    "# for i in range(1):\n",
+    "for i in range(len(folder_names)):\n",
+    "    # Change start year to start time so ERA5 can interpret it\n",
+    "    start_time_CMIP = f'{periods[0][i]}-01-01T00:00:00Z'\n",
+    "    end_time_CMIP = f'{periods[1][i]}-12-31T00:00:00Z'\n",
+    "\n",
+    "    # Skip if folder is not empty to prevent errors\n",
+    "    if any(forcing_paths[folder_names[i]].iterdir()):\n",
+    "        print(f\"Skipping {folder_names[i]} because the folder is not empty.\")\n",
+    "        continue\n",
+    "\n",
+    "    # Load forcings\n",
+    "    CMIP_forcing = ewatercycle.forcing.sources['LumpedMakkinkForcing'].generate(\n",
+    "        dataset=CMIP_dataset,\n",
+    "        start_time=start_time_CMIP,\n",
+    "        end_time=end_time_CMIP,\n",
+    "        shape=shape_file,\n",
+    "        directory=forcing_paths[folder_names[i]]\n",
+    "    )\n",
+    "\n",
+    "    # I need info because my patience is limited\n",
+    "    print(f\"Finished {folder_names[i]}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "91242ae4-3d21-4d18-815f-5cc986d5961e",
+   "metadata": {},
+   "source": [
+    "### Load CMIP6 data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "f8e8ac64-fee5-4602-a1f1-90b8fb14c2b2",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The history saving thread hit an unexpected error (OperationalError('unable to open database file')).History will not be written to the database.\n"
+     ]
+    },
+    {
+     "ename": "FileNotFoundError",
+     "evalue": "Forcing file /home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp245/CMIP6-2025-2030/work/diagnostic/script/ewatercycle_forcing.yaml not found. Perhaps you want to use LumpedMakkinkForcing(...)?",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[9], line 8\u001b[0m\n\u001b[1;32m      5\u001b[0m     directory_new \u001b[38;5;241m=\u001b[39m forcing_paths[folder_names[i]] \u001b[38;5;241m/\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mwork\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m/\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdiagnostic\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m/\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mscript\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m      7\u001b[0m     \u001b[38;5;66;03m# Load forcings\u001b[39;00m\n\u001b[0;32m----> 8\u001b[0m     CMIP_forcings[folder_names[i]] \u001b[38;5;241m=\u001b[39m \u001b[43mewatercycle\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mforcing\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msources\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mLumpedMakkinkForcing\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mload\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdirectory\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdirectory_new\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     10\u001b[0m \u001b[38;5;66;03m# Test to see if it works\u001b[39;00m\n\u001b[1;32m     11\u001b[0m \u001b[38;5;28mprint\u001b[39m(folder_names)\n",
+      "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/ewatercycle/base/forcing.py:276\u001b[0m, in \u001b[0;36mDefaultForcing.load\u001b[0;34m(cls, directory)\u001b[0m\n\u001b[1;32m    271\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m meta\u001b[38;5;241m.\u001b[39mexists():\n\u001b[1;32m    272\u001b[0m     msg \u001b[38;5;241m=\u001b[39m (\n\u001b[1;32m    273\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mForcing file \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mmeta\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m not found. \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    274\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mPerhaps you want to use \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mcls\u001b[39m\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m(...)?\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    275\u001b[0m     )\n\u001b[0;32m--> 276\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mFileNotFoundError\u001b[39;00m(msg)\n\u001b[1;32m    277\u001b[0m metadata \u001b[38;5;241m=\u001b[39m meta\u001b[38;5;241m.\u001b[39mread_text()\n\u001b[1;32m    278\u001b[0m \u001b[38;5;66;03m# Workaround for legacy forcing files having !PythonClass tag.\u001b[39;00m\n\u001b[1;32m    279\u001b[0m \u001b[38;5;66;03m# Remove it so ewatercycle.forcing.source[<forcing name>].load(dir) works.\u001b[39;00m\n",
+      "\u001b[0;31mFileNotFoundError\u001b[0m: Forcing file /home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp245/CMIP6-2025-2030/work/diagnostic/script/ewatercycle_forcing.yaml not found. Perhaps you want to use LumpedMakkinkForcing(...)?"
+     ]
+    }
+   ],
+   "source": [
+    "CMIP_forcings = {}\n",
+    "\n",
+    "for i in range(len(folder_names)):\n",
+    "    # Create new path to find relevant files in the folder\n",
+    "    directory_new = forcing_paths[folder_names[i]] / \"work\" / \"diagnostic\" / \"script\"\n",
+    "    \n",
+    "    # Load forcings\n",
+    "    CMIP_forcings[folder_names[i]] = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=directory_new)\n",
+    "\n",
+    "# Test to see if it works\n",
+    "print(folder_names)\n",
+    "CMIP_forcings[folder_names[0]]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c8eddb25-06e3-4702-87e8-258aeda27a15",
+   "metadata": {},
+   "source": [
+    "### Merge CMIP6 data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1cb12aa2-4b4c-4108-a5c9-2d8156cdecfe",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Function to seperate files based on file names and combine same file names from different folders\n",
+    "def combine_variable(var_name):\n",
+    "    datasets = []\n",
+    "\n",
+    "    for i in range(len(folder_names)):\n",
+    "\n",
+    "        if var_name == \"evspsblpot\":\n",
+    "            file_name = \"Derived_Makkink_evspsblpot.nc\"\n",
+    "        else:\n",
+    "            file_name = f\"CMIP6_MPI-ESM1-2-HR_day_{Scenario}_r1i1p1f1_{var_name}_gn_{periods[0][i]}-{periods[1][i]}.nc\"\n",
+    "\n",
+    "        directory = forcing_paths[folder_names[i]] / \"work\" / \"diagnostic\" / \"script\" / file_name\n",
+    "\n",
+    "        print(f\"Loading {directory}\")\n",
+    "\n",
+    "        datasets.append(xr.open_dataset(directory))\n",
+    "\n",
+    "    combined = xr.concat(datasets, dim=\"time\")\n",
+    "    return combined"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b21fe2e4-478a-4e0b-9f1f-a40316e22018",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Running function for various file name types\n",
+    "combined_variables = {}\n",
+    "var_names = [\"pr\", \"tas\", \"rsds\", \"evspsblpot\"]\n",
+    "\n",
+    "# combined_path = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / Scenario / f'CMIP6-{start_year}-{end_year}'\n",
+    "combined_path = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / Scenario / f'CMIP6-{start_year}-{end_year}'\n",
+    "combined_path.mkdir(parents=True, exist_ok=True)\n",
+    "\n",
+    "for i in range(len(var_names)):\n",
+    "    combined_variables[var_names[i]] = combine_variable(var_names[i])\n",
+    "    combined_variables[var_names[i]].to_netcdf(combined_path / f'combined_CMIP6_{start_year}_{end_year}_{var_names[i]}.nc')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a439e818-0aa8-4e92-a189-fde70016a911",
+   "metadata": {},
+   "source": [
+    "### Create YAML file"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e60b3316-e100-4af9-a36d-fad721ef6e02",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create yaml\n",
+    "forcing_yaml = {\n",
+    "    \"start_time\": f\"{start_year}-01-01T00:00:00Z\",\n",
+    "    \"end_time\": f\"{end_year}-12-31T00:00:00Z\",\n",
+    "    \"shape\": str(shape_file),\n",
+    "    \"filenames\": {\n",
+    "        \"pr\": f\"combined_CMIP6_{start_year}_{end_year}_pr.nc\",\n",
+    "        \"tas\": f\"combined_CMIP6_{start_year}_{end_year}_tas.nc\",\n",
+    "        \"rsds\": f\"combined_CMIP6_{start_year}_{end_year}_rsds.nc\",\n",
+    "        \"evspsblpot\": f\"combined_CMIP6_{start_year}_{end_year}_evspsblpot.nc\"\n",
+    "    }}\n",
+    "\n",
+    "# Save the YAML file\n",
+    "yaml_file_path = combined_path / \"ewatercycle_forcing.yaml\"\n",
+    "\n",
+    "with open(yaml_file_path, \"w\") as yaml_file:\n",
+    "    yaml.dump(forcing_yaml, yaml_file, default_flow_style=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "10ff50bf-b6e7-4033-9682-3e25d01ecd26",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "CMIP6_combined_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=combined_path)\n",
+    "print(CMIP6_combined_forcing)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "83a89024-510b-442f-adeb-8f9e0d07a77f",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step1_ERA5_Forcings_Generation.ipynb b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step1_ERA5_Forcings_Generation.ipynb
new file mode 100644
index 00000000..0ef13ffa
--- /dev/null
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step1_ERA5_Forcings_Generation.ipynb
@@ -0,0 +1,913 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "e91181a8-c60f-456f-80cc-3923bf7c6a43",
+   "metadata": {},
+   "source": [
+    "# ERA5 Data generation & merging \n",
+    "\n",
+    "ERA5 data will be generated from 1970-2025, loaded and merged into one file"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "680410be-715a-4678-a4e3-c1141939241e",
+   "metadata": {},
+   "source": [
+    "## Start-up"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "7ef3318e-968e-418e-bf4c-a8936aade9a5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# general python\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\", category=UserWarning)\n",
+    "\n",
+    "import numpy as np\n",
+    "from pathlib import Path\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import xarray as xr\n",
+    "\n",
+    "#niceties\n",
+    "from rich import print\n",
+    "\n",
+    "import yaml"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "f7ff029b-ee4b-4fe2-b5d5-bf768b626989",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General eWaterCycle\n",
+    "import ewatercycle\n",
+    "import ewatercycle.models\n",
+    "import ewatercycle.forcing"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "74c8c15e-8cab-4e1a-b6eb-c9c165d8c051",
+   "metadata": {},
+   "source": [
+    "### Define range & forcing paths"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "b2343410-2713-4089-ae42-dad37b457c41",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">ERA5-1970-1974</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/\u001b[0m\u001b[95mERA5-1970-1974\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1975</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1;36m1975\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1999</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1;36m1999\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Defining period range\n",
+    "# periods = [\n",
+    "#     [1970, 1975, 1980, 1985, 1990, 1995, 2000, 2005, 2010, 2015, 2020],\n",
+    "#     [1974, 1979, 1984, 1989, 1994, 1999, 2004, 2009, 2014, 2019, 2024]\n",
+    "# ]\n",
+    "\n",
+    "# For calibration 1:\n",
+    "# periods = [\n",
+    "#     [1990, 1995, 2000, 2005, 2010],\n",
+    "#     [1994, 1999, 2004, 2009, 2017]\n",
+    "# ]\n",
+    "\n",
+    "# For calibration 2:\n",
+    "# periods = [\n",
+    "#     [1999, 2005, 2010, 2018],\n",
+    "#     [2004, 2009, 2017, 2019]\n",
+    "# ]\n",
+    "\n",
+    "# For validation 1:\n",
+    "# periods = [\n",
+    "#     [2018, 2022],\n",
+    "#     [2021, 2024]\n",
+    "# ]\n",
+    "\n",
+    "# For validation 2:\n",
+    "# periods = [\n",
+    "#     [2019, 2022],\n",
+    "#     [2021, 2024]\n",
+    "# ]\n",
+    "\n",
+    "# For CMIP trial:\n",
+    "# periods = [\n",
+    "#     [1995, 2000, 2005, 2010],\n",
+    "#     [1999, 2004, 2009, 2014]\n",
+    "# ]\n",
+    "\n",
+    "# For CMIP trial 2\n",
+    "periods = [\n",
+    "    [1970, 1975, 1980, 1985, 1990, 1995],\n",
+    "    [1974, 1979, 1984, 1989, 1994, 1999]\n",
+    "]\n",
+    "\n",
+    "folder_names = []\n",
+    "forcing_paths = {}\n",
+    "\n",
+    "# Generate file names & paths\n",
+    "for i in range(len(periods[0])):\n",
+    "    start_year = periods[0][i]\n",
+    "    end_year = periods[1][i]\n",
+    "    \n",
+    "    folder_name = f'ERA5-{start_year}-{end_year}'                         # Add -cal or -val for cal and val folder name\n",
+    "    # forcing_path = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / folder_name\n",
+    "    forcing_path = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"forcings\" / \"ERA5\" / folder_name\n",
+    "\n",
+    "    folder_names.append(folder_name)\n",
+    "    forcing_paths[folder_name] = forcing_path\n",
+    "\n",
+    "    forcing_path.mkdir(exist_ok=True, parents=True)\n",
+    "\n",
+    "# Call path test\n",
+    "print(forcing_paths[folder_names[0]])\n",
+    "\n",
+    "start_year = periods[0][0]\n",
+    "end_year = periods[1][-1]\n",
+    "\n",
+    "print(start_year)\n",
+    "print(end_year)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "619dd21a-0646-4bae-a71b-935f1fca8c04",
+   "metadata": {},
+   "source": [
+    "### Generate ERA5 data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "cbc7b2b6-88ee-4e7f-b37c-39eaf878c075",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Skipping ERA5-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1970</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1974</span> because the folder is not empty.\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Skipping ERA5-\u001b[1;36m1970\u001b[0m-\u001b[1;36m1974\u001b[0m because the folder is not empty.\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Skipping ERA5-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1975</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1979</span> because the folder is not empty.\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Skipping ERA5-\u001b[1;36m1975\u001b[0m-\u001b[1;36m1979\u001b[0m because the folder is not empty.\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Skipping ERA5-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1980</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1984</span> because the folder is not empty.\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Skipping ERA5-\u001b[1;36m1980\u001b[0m-\u001b[1;36m1984\u001b[0m because the folder is not empty.\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Skipping ERA5-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1985</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1989</span> because the folder is not empty.\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Skipping ERA5-\u001b[1;36m1985\u001b[0m-\u001b[1;36m1989\u001b[0m because the folder is not empty.\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Skipping ERA5-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1990</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1994</span> because the folder is not empty.\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Skipping ERA5-\u001b[1;36m1990\u001b[0m-\u001b[1;36m1994\u001b[0m because the folder is not empty.\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Skipping ERA5-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1995</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1999</span> because the folder is not empty.\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Skipping ERA5-\u001b[1;36m1995\u001b[0m-\u001b[1;36m1999\u001b[0m because the folder is not empty.\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Shapefile path\n",
+    "# shape_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "shape_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\n",
+    "\n",
+    "# Generate forcing data\n",
+    "# for i in range(1):\n",
+    "for i in range(len(folder_names)):\n",
+    "    # Change start year to start time so ERA5 can interpret it\n",
+    "    start_time_ERA5 = f'{periods[0][i]}-01-01T00:00:00Z'\n",
+    "    end_time_ERA5 = f'{periods[1][i]}-12-31T00:00:00Z'\n",
+    "\n",
+    "    # Skip if folder is not empty to prevent errors\n",
+    "    if any(forcing_paths[folder_names[i]].iterdir()):\n",
+    "        print(f\"Skipping {folder_names[i]} because the folder is not empty.\")\n",
+    "        continue\n",
+    "\n",
+    "    # Load forcings\n",
+    "    ERA5_forcing = ewatercycle.forcing.sources['LumpedMakkinkForcing'].generate(\n",
+    "        dataset=\"ERA5\",\n",
+    "        start_time=start_time_ERA5,\n",
+    "        end_time=end_time_ERA5,\n",
+    "        shape=shape_file,\n",
+    "        directory=forcing_paths[folder_names[i]]\n",
+    "    )\n",
+    "\n",
+    "    # I need info because my patience is limited\n",
+    "    print(f\"Finished {folder_names[i]}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "91242ae4-3d21-4d18-815f-5cc986d5961e",
+   "metadata": {},
+   "source": [
+    "### Load ERA5 data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "f8e8ac64-fee5-4602-a1f1-90b8fb14c2b2",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">[</span><span style=\"color: #008000; text-decoration-color: #008000\">'ERA5-1970-1974'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'ERA5-1975-1979'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'ERA5-1980-1984'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'ERA5-1985-1989'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'ERA5-1990-1994'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'ERA5-1995-1999'</span><span style=\"font-weight: bold\">]</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1m[\u001b[0m\u001b[32m'ERA5-1970-1974'\u001b[0m, \u001b[32m'ERA5-1975-1979'\u001b[0m, \u001b[32m'ERA5-1980-1984'\u001b[0m, \u001b[32m'ERA5-1985-1989'\u001b[0m, \u001b[32m'ERA5-1990-1994'\u001b[0m, \u001b[32m'ERA5-1995-1999'\u001b[0m\u001b[1m]\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "LumpedMakkinkForcing(start_time='1970-01-01T00:00:00Z', end_time='1974-12-31T00:00:00Z', directory=PosixPath('/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1970-1974/work/diagnostic/script'), shape=PosixPath('/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1970-1974/work/diagnostic/script/07DA001_basin.shp'), filenames={'pr': 'OBS6_ERA5_reanaly_1_day_pr_1970-1974.nc', 'tas': 'OBS6_ERA5_reanaly_1_day_tas_1970-1974.nc', 'rsds': 'OBS6_ERA5_reanaly_1_day_rsds_1970-1974.nc', 'evspsblpot': 'Derived_Makkink_evspsblpot.nc'})"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ERA5_forcings = {}\n",
+    "\n",
+    "for i in range(len(folder_names)):\n",
+    "    # Create new path to find relevant files in the folder\n",
+    "    directory_new = forcing_paths[folder_names[i]] / \"work\" / \"diagnostic\" / \"script\"\n",
+    "    \n",
+    "    # Load forcings\n",
+    "    ERA5_forcings[folder_names[i]] = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=directory_new)\n",
+    "\n",
+    "# Test to see if it works\n",
+    "print(folder_names)\n",
+    "ERA5_forcings[folder_names[0]]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c8eddb25-06e3-4702-87e8-258aeda27a15",
+   "metadata": {},
+   "source": [
+    "### Merge ERA5 data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "1cb12aa2-4b4c-4108-a5c9-2d8156cdecfe",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Function to seperate files based on file names and combine same file names from different folders\n",
+    "def combine_variable(var_name):\n",
+    "    datasets = []\n",
+    "\n",
+    "    for i in range(len(folder_names)):\n",
+    "\n",
+    "        if var_name == \"evspsblpot\":\n",
+    "            file_name = \"Derived_Makkink_evspsblpot.nc\"\n",
+    "        else:\n",
+    "            file_name = f\"OBS6_ERA5_reanaly_1_day_{var_name}_{periods[0][i]}-{periods[1][i]}.nc\"\n",
+    "\n",
+    "        directory = forcing_paths[folder_names[i]] / \"work\" / \"diagnostic\" / \"script\" / file_name\n",
+    "\n",
+    "        print(f\"Loading {directory}\")\n",
+    "\n",
+    "        datasets.append(xr.open_dataset(directory))\n",
+    "\n",
+    "    combined = xr.concat(datasets, dim=\"time\")\n",
+    "    return combined"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "b21fe2e4-478a-4e0b-9f1f-a40316e22018",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1970-1974/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_pr_1970-197</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">4.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1970-1974/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_pr_1970-197\u001b[0m\n",
+       "\u001b[95m4.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1975-1979/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_pr_1975-197</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">9.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1975-1979/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_pr_1975-197\u001b[0m\n",
+       "\u001b[95m9.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1980-1984/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_pr_1980-198</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">4.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1980-1984/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_pr_1980-198\u001b[0m\n",
+       "\u001b[95m4.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1985-1989/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_pr_1985-198</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">9.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1985-1989/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_pr_1985-198\u001b[0m\n",
+       "\u001b[95m9.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1990-1994/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_pr_1990-199</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">4.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1990-1994/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_pr_1990-199\u001b[0m\n",
+       "\u001b[95m4.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1995-1999/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_pr_1995-199</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">9.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1995-1999/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_pr_1995-199\u001b[0m\n",
+       "\u001b[95m9.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1970-1974/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_tas_1970-19</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">74.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1970-1974/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_tas_1970-19\u001b[0m\n",
+       "\u001b[95m74.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1975-1979/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_tas_1975-19</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">79.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1975-1979/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_tas_1975-19\u001b[0m\n",
+       "\u001b[95m79.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1980-1984/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_tas_1980-19</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">84.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1980-1984/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_tas_1980-19\u001b[0m\n",
+       "\u001b[95m84.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1985-1989/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_tas_1985-19</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">89.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1985-1989/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_tas_1985-19\u001b[0m\n",
+       "\u001b[95m89.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1990-1994/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_tas_1990-19</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">94.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1990-1994/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_tas_1990-19\u001b[0m\n",
+       "\u001b[95m94.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1995-1999/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_tas_1995-19</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">99.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1995-1999/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_tas_1995-19\u001b[0m\n",
+       "\u001b[95m99.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1970-1974/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_rsds_1970-1</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">974.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1970-1974/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_rsds_1970-1\u001b[0m\n",
+       "\u001b[95m974.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1975-1979/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_rsds_1975-1</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">979.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1975-1979/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_rsds_1975-1\u001b[0m\n",
+       "\u001b[95m979.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1980-1984/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_rsds_1980-1</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">984.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1980-1984/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_rsds_1980-1\u001b[0m\n",
+       "\u001b[95m984.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1985-1989/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_rsds_1985-1</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">989.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1985-1989/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_rsds_1985-1\u001b[0m\n",
+       "\u001b[95m989.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1990-1994/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_rsds_1990-1</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">994.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1990-1994/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_rsds_1990-1\u001b[0m\n",
+       "\u001b[95m994.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1995-1999/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_rsds_1995-1</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">999.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1995-1999/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_rsds_1995-1\u001b[0m\n",
+       "\u001b[95m999.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1970-1974/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_evspsblpot.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1970-1974/work/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_evspsblpot.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1975-1979/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_evspsblpot.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1975-1979/work/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_evspsblpot.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1980-1984/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_evspsblpot.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1980-1984/work/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_evspsblpot.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1985-1989/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_evspsblpot.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1985-1989/work/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_evspsblpot.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1990-1994/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_evspsblpot.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1990-1994/work/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_evspsblpot.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1995-1999/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_evspsblpot.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1995-1999/work/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_evspsblpot.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Running function for various file name types\n",
+    "combined_variables = {}\n",
+    "var_names = [\"pr\", \"tas\", \"rsds\", \"evspsblpot\"]\n",
+    "\n",
+    "# combined_path = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / f'ERA5-{periods[0][0]}-{periods[1][-1]}'\n",
+    "combined_path = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"forcings\" / \"ERA5\" / f'ERA5-{periods[0][0]}-{periods[1][-1]}'\n",
+    "combined_path.mkdir(parents=True, exist_ok=True)\n",
+    "\n",
+    "for i in range(len(var_names)):\n",
+    "    combined_variables[var_names[i]] = combine_variable(var_names[i])\n",
+    "    combined_variables[var_names[i]].to_netcdf(combined_path / f'combined_ERA5_{start_year}_{end_year}_{var_names[i]}.nc')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a439e818-0aa8-4e92-a189-fde70016a911",
+   "metadata": {},
+   "source": [
+    "### Create YAML file"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "e60b3316-e100-4af9-a36d-fad721ef6e02",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create yaml\n",
+    "forcing_yaml = {\n",
+    "    \"start_time\": f\"{start_year}-01-01T00:00:00Z\",\n",
+    "    \"end_time\": f\"{end_year}-12-31T00:00:00Z\",\n",
+    "    \"shape\": str(shape_file),\n",
+    "    \"filenames\": {\n",
+    "        \"pr\": f\"combined_ERA5_{start_year}_{end_year}_pr.nc\",\n",
+    "        \"tas\": f\"combined_ERA5_{start_year}_{end_year}_tas.nc\",\n",
+    "        \"rsds\": f\"combined_ERA5_{start_year}_{end_year}_rsds.nc\",\n",
+    "        \"evspsblpot\": f\"combined_ERA5_{start_year}_{end_year}_evspsblpot.nc\"\n",
+    "    }}\n",
+    "\n",
+    "# Save the YAML file\n",
+    "yaml_file_path = combined_path / \"ewatercycle_forcing.yaml\"\n",
+    "\n",
+    "with open(yaml_file_path, \"w\") as yaml_file:\n",
+    "    yaml.dump(forcing_yaml, yaml_file, default_flow_style=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "10ff50bf-b6e7-4033-9682-3e25d01ecd26",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">LumpedMakkinkForcing</span><span style=\"font-weight: bold\">(</span>\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">start_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'1970-01-01T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">end_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'1999-12-31T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">directory</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1970-1999'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">shape</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">filenames</span>=<span style=\"font-weight: bold\">{</span>\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'evspsblpot'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1970_1999_evspsblpot.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'pr'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1970_1999_pr.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'rsds'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1970_1999_rsds.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'tas'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1970_1999_tas.nc'</span>\n",
+       "    <span style=\"font-weight: bold\">}</span>\n",
+       "<span style=\"font-weight: bold\">)</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1;35mLumpedMakkinkForcing\u001b[0m\u001b[1m(\u001b[0m\n",
+       "    \u001b[33mstart_time\u001b[0m=\u001b[32m'1970-01-01T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mend_time\u001b[0m=\u001b[32m'1999-12-31T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mdirectory\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1970-1999'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mshape\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mfilenames\u001b[0m=\u001b[1m{\u001b[0m\n",
+       "        \u001b[32m'evspsblpot'\u001b[0m: \u001b[32m'combined_ERA5_1970_1999_evspsblpot.nc'\u001b[0m,\n",
+       "        \u001b[32m'pr'\u001b[0m: \u001b[32m'combined_ERA5_1970_1999_pr.nc'\u001b[0m,\n",
+       "        \u001b[32m'rsds'\u001b[0m: \u001b[32m'combined_ERA5_1970_1999_rsds.nc'\u001b[0m,\n",
+       "        \u001b[32m'tas'\u001b[0m: \u001b[32m'combined_ERA5_1970_1999_tas.nc'\u001b[0m\n",
+       "    \u001b[1m}\u001b[0m\n",
+       "\u001b[1m)\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "ERA5_combined_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=combined_path)\n",
+    "print(ERA5_combined_forcing)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step2_Algorithm_Ice.ipynb b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step2_Algorithm_Ice.ipynb
new file mode 100644
index 00000000..df6cd4f0
--- /dev/null
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step2_Algorithm_Ice.ipynb
@@ -0,0 +1,913 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "d3382417-3993-4e5d-8390-0c6cc4197326",
+   "metadata": {},
+   "source": [
+    "## Startup"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "bb67d97e-8317-4b2f-be8e-c8ac9f45f196",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General python\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\", category=UserWarning)\n",
+    "\n",
+    "import numpy as np\n",
+    "from pathlib import Path\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import xarray as xr\n",
+    "\n",
+    "# Niceties\n",
+    "from rich import print"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "862f09e2-4350-4eb5-8bdc-d865a99076eb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General eWaterCycle\n",
+    "import ewatercycle\n",
+    "import ewatercycle.models\n",
+    "import ewatercycle.forcing"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "4c68de36-ea9f-43be-aa9e-13fdd7b4a3ab",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Defining time period & q_critical\n",
+    "\n",
+    "experiment_start_date = \"2014-01-01T00:00:00Z\"\n",
+    "experiment_end_date = \"2014-12-31T00:00:00Z\"\n",
+    "\n",
+    "q_critical = 500\n",
+    "\n",
+    "hysets_id = \"hysets_07DA001\"\n",
+    "basin_size = 132572"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "c2d00787-45c7-4f63-8641-5f1f5f67127e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Loading in data\n",
+    "\n",
+    "forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"ERA5-1970-2024\"\n",
+    "forcing_path_ERA5.mkdir(exist_ok=True, parents=True)\n",
+    "\n",
+    "discharge_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
+    "\n",
+    "shape_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "\n",
+    "calibration_temp = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"calibration_temp\"\n",
+    "calibration_temp.mkdir(parents=True, exist_ok=True)\n",
+    "\n",
+    "# Load CSV discharge 07DA001\n",
+    "q_obs = pd.read_csv(discharge_file, skiprows=1)\n",
+    "q_obs = q_obs[[\"Date\", \"Value\"]].copy()\n",
+    "q_obs[\"Date\"] = pd.to_datetime(q_obs[\"Date\"])\n",
+    "q_obs = q_obs.rename(columns={\"Value\": \"discharge_m3s\"})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "bf6b9b66-876f-40da-8862-bd742448d87f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# # Loading in data\n",
+    "\n",
+    "# forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"forcings\" / \"ERA5-1970-2024\"\n",
+    "# forcing_path_ERA5.mkdir(exist_ok=True, parents=True)\n",
+    "\n",
+    "# discharge_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
+    "\n",
+    "# shape_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "\n",
+    "# calibration_temp = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"calibration_temp\"\n",
+    "# calibration_temp.mkdir(parents=True, exist_ok=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "b40fb132-370d-4584-b198-4a789d02abc8",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Date</th>\n",
+       "      <th>discharge_m3s</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>20367</th>\n",
+       "      <td>2014-01-01</td>\n",
+       "      <td>177.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20368</th>\n",
+       "      <td>2014-01-02</td>\n",
+       "      <td>188.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20369</th>\n",
+       "      <td>2014-01-03</td>\n",
+       "      <td>198.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20370</th>\n",
+       "      <td>2014-01-04</td>\n",
+       "      <td>204.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20371</th>\n",
+       "      <td>2014-01-05</td>\n",
+       "      <td>208.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            Date  discharge_m3s\n",
+       "20367 2014-01-01          177.0\n",
+       "20368 2014-01-02          188.0\n",
+       "20369 2014-01-03          198.0\n",
+       "20370 2014-01-04          204.0\n",
+       "20371 2014-01-05          208.0"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Filter q_obs to start & end date\n",
+    "\n",
+    "start_date = pd.to_datetime(experiment_start_date.replace(\"Z\", \"\"))\n",
+    "end_date = pd.to_datetime(experiment_end_date.replace(\"Z\", \"\"))\n",
+    "\n",
+    "q_obs = q_obs[\n",
+    "    (q_obs[\"Date\"] >= start_date) &\n",
+    "    (q_obs[\"Date\"] <= end_date)\n",
+    "].copy()\n",
+    "\n",
+    "q_obs.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "eb8f1766-b180-4486-9cec-6539c086eb7f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1200x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot q_obs\n",
+    "\n",
+    "plt.figure(figsize=(12, 5))\n",
+    "plt.plot(q_obs[\"Date\"], q_obs[\"discharge_m3s\"], label=\"Observed discharge\")\n",
+    "\n",
+    "plt.xlabel(\"Date\")\n",
+    "plt.ylabel(\"Discharge (m³/s)\")\n",
+    "plt.title(\"Observed daily discharge at 07DA001\")\n",
+    "\n",
+    "plt.axhline(\n",
+    "    y=q_critical,\n",
+    "    linestyle=\":\",\n",
+    "    label=f\"Critical discharge ({q_critical} m³/s)\",\n",
+    "    color='black'\n",
+    ")\n",
+    "\n",
+    "plt.legend()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "07a239a5-398f-4ad2-9a33-f2d199485309",
+   "metadata": {},
+   "source": [
+    "# Finding range"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9c87425e-c0d7-49ad-aab7-57bb5df5af0d",
+   "metadata": {},
+   "source": [
+    "## Start of range (freshet)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "504d4401-3712-406b-b9ef-884db8702c28",
+   "metadata": {},
+   "source": [
+    "### Idea 1: Rate of change\n",
+    "\n",
+    "gemiddelde dQ over 5 dagen periode moet groter zijn dan 15 m^3/s increase per dag voor consecutive dagen \n",
+    "& Q > Q_kritisch"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "204f6612-01b4-43c5-aff4-d345817047d9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# # Define dQ\n",
+    "\n",
+    "# dQ = Q_today - Q_yesterday\n",
+    "\n",
+    "# dQ over 5 dagen periode moet groter zijn dan x m^3/s increase per dag voor consecutive dagen \n",
+    "# & Q > q_kritisch\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "dc8791fb-3dac-425a-b5bd-45cdb8a0331f",
+   "metadata": {},
+   "source": [
+    "### Idea 2: Q_critical "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "727e107a-465a-4947-ba90-494ec323a262",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>year</th>\n",
+       "      <th>first_above_critical_date</th>\n",
+       "      <th>discharge_m3s</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2014</td>\n",
+       "      <td>2014-04-23</td>\n",
+       "      <td>506.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   year first_above_critical_date  discharge_m3s\n",
+       "0  2014                2014-04-23          506.0"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Create pd for identified critical dates\n",
+    "\n",
+    "freshet_start_date = []\n",
+    "\n",
+    "for year, group in q_obs.groupby(q_obs[\"Date\"].dt.year):\n",
+    "\n",
+    "    # Set start date to March 1\n",
+    "    start_date_algorithm = pd.to_datetime(f\"{year}-03-01\")\n",
+    "    season_data = group[group[\"Date\"] >= start_date_algorithm].copy()\n",
+    "    \n",
+    "    # Identify first day where q > q_critical\n",
+    "    \n",
+    "    above_critical = season_data[\n",
+    "        season_data[\"discharge_m3s\"] > q_critical\n",
+    "    ]\n",
+    "    \n",
+    "    if len(above_critical) > 0:\n",
+    "        first_day = above_critical.iloc[0]\n",
+    "        \n",
+    "        freshet_start_date.append({\n",
+    "            \"year\": year,\n",
+    "            \"first_above_critical_date\": first_day[\"Date\"],\n",
+    "            \"discharge_m3s\": first_day[\"discharge_m3s\"]\n",
+    "        })\n",
+    "    else:\n",
+    "        freshet_start_date.append({\n",
+    "            \"year\": year,\n",
+    "            \"first_above_critical_date\": pd.NaT,\n",
+    "            \"discharge_m3s\": None\n",
+    "        })\n",
+    "\n",
+    "freshet_start_date = pd.DataFrame(freshet_start_date)\n",
+    "\n",
+    "freshet_start_date"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "e20e293c-245d-47da-9b45-1c9675f989f4",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1200x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot q_obs\n",
+    "\n",
+    "plt.figure(figsize=(12, 5))\n",
+    "plt.plot(q_obs[\"Date\"], q_obs[\"discharge_m3s\"], label='Observed discharge')\n",
+    "\n",
+    "plt.xlabel(\"Date\")\n",
+    "plt.ylabel(\"Discharge (m³/s)\")\n",
+    "plt.title(\"Observed daily discharge at 07DA001\")\n",
+    "\n",
+    "plt.axhline(\n",
+    "    y=q_critical,\n",
+    "    linestyle=\":\",\n",
+    "    label=f\"Critical discharge ({q_critical} m³/s)\",\n",
+    "    color='black'\n",
+    "    )\n",
+    "\n",
+    "for date in freshet_start_date[\"first_above_critical_date\"].dropna():\n",
+    "    plt.axvline(\n",
+    "        x=date,\n",
+    "        linestyle=':',\n",
+    "        color='orange',\n",
+    "        label='Start navigable season'\n",
+    "    )\n",
+    "        \n",
+    "plt.legend()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "id": "39bd4c7f-1a15-464d-bddd-6c3e05088566",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1000x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Convert date to day of year\n",
+    "freshet_start_date[\"day_of_year\"] = (freshet_start_date[\"first_above_critical_date\"].dt.dayofyear)\n",
+    "\n",
+    "# Make plot \n",
+    "plt.figure(figsize=(10, 5))\n",
+    "plt.scatter(freshet_start_date[\"day_of_year\"], freshet_start_date[\"year\"], marker=\"o\")\n",
+    "\n",
+    "plt.xlabel(\"Date\")\n",
+    "plt.ylabel(\"Year\")\n",
+    "plt.title(\"First date discharge exceeds critical threshold between 1970-2024\")\n",
+    "plt.grid(True)\n",
+    "\n",
+    "# Convert day of year to day in months (on the axis)\n",
+    "plt.xticks(\n",
+    "    [60, 65, 70, 75, 80, 85, 90,\n",
+    "     95, 100, 105, 110, 115, 120,\n",
+    "     125, 130, 135, 140, 145, 150],\n",
+    "    [\"Mar 1\", \"Mar 6\", \"Mar 11\", \"Mar 16\", \"Mar 21\", \"Mar 26\", \"Mar 31\",\n",
+    "     \"Apr 5\", \"Apr 10\", \"Apr 15\", \"Apr 20\", \"Apr 25\", \"Apr 30\",\n",
+    "     \"May 5\", \"May 10\", \"May 15\", \"May 20\", \"May 25\", \"May 30\"],\n",
+    ")\n",
+    "\n",
+    "# Automate x-axis range to fit data\n",
+    "plt.xlim((freshet_start_date[\"day_of_year\"].min()-1), (freshet_start_date[\"day_of_year\"].max()+1))\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "1bf87b1f-7a42-4819-af63-2dc95649c8fb",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1000x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Creating bar graph\n",
+    "\n",
+    "# Choose bin size\n",
+    "bin_size = 5   # use 10 for 10-day periods\n",
+    "\n",
+    "# Convert date to day of year\n",
+    "freshet_start_date[\"day_of_year\"] = freshet_start_date[\"first_above_critical_date\"].dt.dayofyear\n",
+    "\n",
+    "# Create bins\n",
+    "freshet_start_date[\"date_bin\"] = (freshet_start_date[\"day_of_year\"] // bin_size) * bin_size\n",
+    "\n",
+    "# Count how many years fall in each bin\n",
+    "freshet_counts = freshet_start_date.groupby(\"date_bin\").size()\n",
+    "\n",
+    "# Plot bar chart\n",
+    "plt.figure(figsize=(10, 5))\n",
+    "plt.bar(freshet_counts.index, freshet_counts.values, width=bin_size)\n",
+    "\n",
+    "# Convert x-axis from day-of-year to calendar dates\n",
+    "tick_days = freshet_counts.index\n",
+    "tick_labels = [\n",
+    "    (pd.to_datetime(\"2001-01-01\") + pd.to_timedelta(day - 1, unit=\"D\")).strftime(\"%b %d\")\n",
+    "    for day in tick_days\n",
+    "]\n",
+    "\n",
+    "plt.xticks(tick_days, tick_labels, rotation=45)\n",
+    "\n",
+    "plt.xlabel(\"Date period\")\n",
+    "plt.ylabel(\"Number of years\")\n",
+    "plt.title(\"First date discharge exceeds critical threshold\")\n",
+    "plt.grid(axis=\"y\")\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d32414f7-d742-48cb-9d94-50441c3f550c",
+   "metadata": {},
+   "source": [
+    "## End of range (river freeze-up)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f912ae02-7887-4bf3-af61-0ccc4c154fef",
+   "metadata": {},
+   "source": [
+    "### Idea 1: Critical when AFDD = x\n",
+    "\n",
+    "AFDD is Accumulated Freeze Degree Days. It calculates the accumulative temperature under 0. \n",
+    "Example: If 3 days have a mean temperature of -5 C per day, the AFDD would be 15. \n",
+    "\n",
+    "A study shows the LAR forms an ice sheet when AFDD reaches (approx) 50 degrees. https://www.iahr.org/library/infor?pid=26767 (Figure 6)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7aa6524c-9140-4756-bfc9-c67947740a8e",
+   "metadata": {},
+   "source": [
+    "### Load ERA5-forcings & TAS data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "id": "9e315bb0-0085-43e0-b0a0-0d23d6bc4ba0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Generate ERA5 data\n",
+    "\n",
+    "# ERA5_forcing = ewatercycle.forcing.sources['LumpedMakkinkForcing'].generate(\n",
+    "#     dataset=\"ERA5\",\n",
+    "#     start_time=experiment_start_date,\n",
+    "#     end_time=experiment_end_date,\n",
+    "#     shape=shape_file,\n",
+    "#     directory=forcing_path_ERA5\n",
+    "# )\n",
+    "\n",
+    "# Load ERA5 data\n",
+    "\n",
+    "# load_location = forcing_path_ERA5 / \"work\" / \"diagnostic\" / \"script\" \n",
+    "# ERA5_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=load_location)\n",
+    "\n",
+    "ERA5_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=forcing_path_ERA5)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "id": "e90fb4e3-9f06-405c-bc08-fcbc28c0ef7c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Exract tas file from Era5\n",
+    "tas_file = Path(ERA5_forcing.directory) / ERA5_forcing.filenames[\"tas\"]\n",
+    "\n",
+    "# Extract tas data from tas file\n",
+    "temp_data = xr.open_dataset(tas_file)[\"tas\"]\n",
+    "\n",
+    "# Convert to panda\n",
+    "temp_data = temp_data.to_series()\n",
+    "temp_data.index = pd.to_datetime(temp_data.index).tz_localize(None).normalize()\n",
+    "\n",
+    "# Convert Kelvin to Celsius:\n",
+    "temp_data = temp_data - 273.15\n",
+    "\n",
+    "# Create dataframe with Date, Temp & year as columns\n",
+    "temp_data = pd.DataFrame({\n",
+    "    \"Date\": temp_data.index,\n",
+    "    \"Temp\": temp_data.values,\n",
+    "    \"year\": temp_data.index.year\n",
+    "})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "id": "54ebf5d5-9ad6-4a37-8301-f204b1059c06",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">   year AFDD_critical_date       AFDD       Temp\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2014</span>         <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2014</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">11</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">10</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">41.426453</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">-13.859253</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "   year AFDD_critical_date       AFDD       Temp\n",
+       "\u001b[1;36m0\u001b[0m  \u001b[1;36m2014\u001b[0m         \u001b[1;36m2014\u001b[0m-\u001b[1;36m11\u001b[0m-\u001b[1;36m10\u001b[0m  \u001b[1;36m41.426453\u001b[0m \u001b[1;36m-13.859253\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>year</th>\n",
+       "      <th>AFDD_critical_date</th>\n",
+       "      <th>AFDD</th>\n",
+       "      <th>Temp</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2014</td>\n",
+       "      <td>2014-11-10</td>\n",
+       "      <td>41.426453</td>\n",
+       "      <td>-13.859253</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   year AFDD_critical_date       AFDD       Temp\n",
+       "0  2014         2014-11-10  41.426453 -13.859253"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "AFDD_critical = 30\n",
+    "AFDD_critical_dates = []\n",
+    "\n",
+    "# min_subzero_days = 5\n",
+    "# consec_days = 7\n",
+    "\n",
+    "start_year = start_date.year\n",
+    "end_year = end_date.year\n",
+    "\n",
+    "for year in range(start_year, end_year + 1):\n",
+    "\n",
+    "    # Set start date to 1 August\n",
+    "    year_data = temp_data[\n",
+    "        (temp_data[\"year\"] == year) &\n",
+    "        (temp_data[\"Date\"] >= pd.to_datetime(f\"{year}-10-01\"))\n",
+    "    ]\n",
+    "\n",
+    "    AFDD = 0\n",
+    "    \n",
+    "    # Isolate datasets of date & temperature data to each year \n",
+    "    for i in range(len(year_data)):\n",
+    "        temp = year_data.iloc[i][\"Temp\"]\n",
+    "        date = year_data.iloc[i][\"Date\"]\n",
+    "\n",
+    "        # Cumulative AFDD\n",
+    "        if temp < 0:\n",
+    "            AFDD += -temp\n",
+    "\n",
+    "        # Append when AFDD is critical\n",
+    "        if AFDD >= AFDD_critical:\n",
+    "            AFDD_critical_dates.append({\n",
+    "                \"year\": year,\n",
+    "                \"AFDD_critical_date\": date,\n",
+    "                \"AFDD\": AFDD,\n",
+    "                \"Temp\": temp\n",
+    "            })\n",
+    "\n",
+    "            break \n",
+    "\n",
+    "AFDD_critical_dates = pd.DataFrame(AFDD_critical_dates)\n",
+    "\n",
+    "print(AFDD_critical_dates)\n",
+    "\n",
+    "        # # Criteria 1: 5 of 7 consecutive days must be sub-zero\n",
+    "        # if i >= consec_days - 1:\n",
+    "        #     last_7_days = year_data.iloc[i - consec_days + 1 : i + 1]\n",
+    "        #     subzero_days = 0\n",
+    "\n",
+    "        #     for j in range(len(last_7_days)):\n",
+    "        #         if last_7_days.iloc[j][\"Temp\"] < 0:\n",
+    "        #             subzero_days += 1\n",
+    "\n",
+    "        #      if AFDD >= AFDD_critical and subzero_days >= required_subzero_days:\n",
+    "        #         AFDD_critical_dates.append({\n",
+    "        #             \"year\": year,\n",
+    "        #             \"AFDD_critical_date\": date,\n",
+    "        #             \"AFDD\": AFDD,\n",
+    "        #             \"Subzero days in 7 day period\": subzero_days\n",
+    "        #     })\n",
+    "        #     break\n",
+    "\n",
+    "AFDD_critical_dates"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "id": "861083f4-0521-4186-a73d-9c2aca2befa3",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1000x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Convert date to day of year\n",
+    "AFDD_critical_dates[\"day_of_year\"] = (AFDD_critical_dates[\"AFDD_critical_date\"].dt.dayofyear)\n",
+    "\n",
+    "# Make plot \n",
+    "plt.figure(figsize=(10, 5))\n",
+    "plt.scatter(AFDD_critical_dates[\"day_of_year\"], AFDD_critical_dates[\"year\"], marker=\"o\")\n",
+    "\n",
+    "plt.xlabel(\"Date\")\n",
+    "plt.ylabel(\"Year\")\n",
+    "plt.title(f\"Date of river freeze-up (AFDD >= {AFDD_critical}) between 1970-2024\")\n",
+    "plt.grid(True)\n",
+    "\n",
+    "# Convert day of year to day in months (on the axis)\n",
+    "plt.xticks(\n",
+    "    [274, 279, 284, 289, 294, 299, 304,\n",
+    "     309, 314, 319, 324, 329, 334, 339,\n",
+    "     344, 349, 354, 359, 364, 366],\n",
+    "    [\"Oct 1\", \"Oct 6\", \"Oct 11\", \"Oct 16\", \"Oct 21\", \"Oct 26\", \"Oct 31\",\n",
+    "     \"Nov 5\", \"Nov 10\", \"Nov 15\", \"Nov 20\", \"Nov 25\", \"Nov 30\", \"Dec 5\",\n",
+    "     \"Dec 10\", \"Dec 15\", \"Dec 20\", \"Dec 25\", \"Dec 30\", \"Dec 31\"],\n",
+    ")\n",
+    "\n",
+    "# Prevent y-axis from showing decimal years\n",
+    "# plt.yticks(range(start_year, end_year + 1))\n",
+    "\n",
+    "# Automate x-axis range to fit data\n",
+    "plt.xlim((AFDD_critical_dates[\"day_of_year\"].min()-1), (AFDD_critical_dates[\"day_of_year\"].max()+1))\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "id": "7995d878-10ac-4e6e-aa0f-b8e281d5aaf6",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1000x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot temp for 1 year for fun:\n",
+    "selected_year = 2014\n",
+    "year_data = temp_data[temp_data[\"year\"] == selected_year]\n",
+    "\n",
+    "plt.figure(figsize=(10, 5))\n",
+    "plt.title(f\"Temperature time series showing date of river freeze-up (AFDD >= {AFDD_critical}) for 2014\")\n",
+    "plt.scatter(year_data[\"Date\"], year_data[\"Temp\"], marker=\"o\")\n",
+    "plt.axhline(\n",
+    "    y=0,\n",
+    "    linestyle=\":\",\n",
+    "    color=\"black\",\n",
+    "    label=\"0°C\"\n",
+    ")\n",
+    "\n",
+    "# Extract & plot critical AFDD date for selected year\n",
+    "AFDD_critical_date = AFDD_critical_dates.loc[AFDD_critical_dates[\"year\"] == selected_year, \"AFDD_critical_date\"].iloc[0]\n",
+    "plt.axvline(\n",
+    "    x=AFDD_critical_date,\n",
+    "    linestyle=\":\",\n",
+    "    color=\"orange\",\n",
+    "    label=\"River freeze-up\"\n",
+    ")\n",
+    "\n",
+    "plt.xlabel(\"Date\")\n",
+    "plt.ylabel(\"Temperature (°C)\")\n",
+    "plt.legend()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5b3a1903-f809-45da-ad01-13313da0afea",
+   "metadata": {},
+   "source": [
+    "### Idea 2: Critical when q_critical < 500"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6e7f55d8-67b3-4721-912b-511875ecdbb4",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a0f3c170-d57e-4d00-80c0-1bc1f090b940",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f655679f-10de-42bf-88b9-ef58385bd62c",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c6b724d3-19f0-4ec3-9bb6-1828e22b320d",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "078fc0ee-197a-45de-87b5-9a00eec5801f",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "fabbb9d8-1446-474d-b329-83c221d3f018",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step3_Calibration_HBV.ipynb b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step3_Calibration_HBV.ipynb
new file mode 100644
index 00000000..b2902e3b
--- /dev/null
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step3_Calibration_HBV.ipynb
@@ -0,0 +1,9072 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "fbc7f454-3d60-492d-aa6c-0ce21a0dfc77",
+   "metadata": {},
+   "source": [
+    "## Startup\n",
+    "\n",
+    "\n",
+    "80/20 rule:\n",
+    "80% calibration (2000-2020)\n",
+    "20% validation (2020-2025)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "95a06f73-282f-4c7c-8333-f002e73e205a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General python\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\", category=UserWarning)\n",
+    "\n",
+    "import numpy as np\n",
+    "from pathlib import Path\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import xarray as xr\n",
+    "\n",
+    "# Niceties\n",
+    "from rich import print\n",
+    "\n",
+    "from ipywidgets import IntProgress\n",
+    "from IPython.display import display"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "8b61a012-64eb-48b2-ba78-f641a1a581a3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General eWaterCycle\n",
+    "import ewatercycle\n",
+    "import ewatercycle.models\n",
+    "import ewatercycle.forcing"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a860a623-f634-4b50-822c-51e09ab4e594",
+   "metadata": {},
+   "source": [
+    "### Defining variables & pathways"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "970798cd-b737-44f3-8edd-de3352b86efd",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Choosing time period & basin si\n",
+    "\n",
+    "experiment_start_date = \"2000-01-01T00:00:00Z\"\n",
+    "experiment_end_date = \"2005-12-31T00:00:00Z\"\n",
+    "\n",
+    "calibration_start = \"1999-01-01T00:00:00Z\"\n",
+    "calibration_end = \"2019-12-31T00:00:00Z\"\n",
+    "\n",
+    "# validation_start = \"\"\n",
+    "# validation_end = \"\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "c3b02d32-4be2-47a7-8935-8284af182d66",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create pathways for ERA 5 forcings\n",
+    "\n",
+    "forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"ERA5-1999-2019\"\n",
+    "\n",
+    "discharge_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
+    "\n",
+    "shape_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "basin_size = 132572\n",
+    "\n",
+    "calibration_temp = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"calibration_temp\"\n",
+    "calibration_temp.mkdir(parents=True, exist_ok=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "241efaf0-94fc-4e07-8a62-151661dc4343",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# # Create pathways for ERA 5 forcings\n",
+    "\n",
+    "# forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"forcings\" / \"ERA5-1999-2019\"\n",
+    "\n",
+    "# discharge_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
+    "\n",
+    "# shape_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "# basin_size = 132572\n",
+    "\n",
+    "# calibration_temp = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"calibration_temp\"\n",
+    "# calibration_temp.mkdir(parents=True, exist_ok=True)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fd4ec71b-d4f6-4a1c-be9a-f8d3b89059d1",
+   "metadata": {},
+   "source": [
+    "### Load & prepare discharge data "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "d590f365-72ad-4473-9996-88820ea52c18",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load CSV discharge 07DA001\n",
+    "\n",
+    "q_obs = pd.read_csv(discharge_file, skiprows=1)\n",
+    "q_obs = q_obs[[\"Date\", \"Value\"]].copy()\n",
+    "q_obs[\"Date\"] = pd.to_datetime(q_obs[\"Date\"])\n",
+    "q_obs = q_obs.rename(columns={\"Value\": \"discharge_m3s\"})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "1cec4b74-037a-4d48-8769-e0b57a7683aa",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Filter q_obs to start & end date\n",
+    "\n",
+    "# start_date = pd.to_datetime(experiment_start_date.replace(\"Z\", \"\"))\n",
+    "# end_date = pd.to_datetime(experiment_end_date.replace(\"Z\", \"\"))\n",
+    "\n",
+    "# q_obs = q_obs[(q_obs[\"Date\"] >= start_date) & (q_obs[\"Date\"] <= end_date)]\n",
+    "# observed_output = pd.Series(data=q_obs[\"discharge_m3s\"].to_numpy(), name=\"Observed discharge\", index=q_obs[\"Date\"])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a7c47f7f-18ff-4441-b1d4-975e46e1719b",
+   "metadata": {},
+   "source": [
+    "### Generate or Load ERA5 data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "eb582ebf-8fbc-4542-b785-cee2f332bdd5",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">LumpedMakkinkForcing</span><span style=\"font-weight: bold\">(</span>\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">start_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'1999-01-01T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">end_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'2019-12-31T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">directory</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1999-2019'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">shape</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">filenames</span>=<span style=\"font-weight: bold\">{</span>\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'evspsblpot'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1999_2019_evspsblpot.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'pr'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1999_2019_pr.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'rsds'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1999_2019_rsds.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'tas'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1999_2019_tas.nc'</span>\n",
+       "    <span style=\"font-weight: bold\">}</span>\n",
+       "<span style=\"font-weight: bold\">)</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1;35mLumpedMakkinkForcing\u001b[0m\u001b[1m(\u001b[0m\n",
+       "    \u001b[33mstart_time\u001b[0m=\u001b[32m'1999-01-01T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mend_time\u001b[0m=\u001b[32m'2019-12-31T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mdirectory\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1999-2019'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mshape\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mfilenames\u001b[0m=\u001b[1m{\u001b[0m\n",
+       "        \u001b[32m'evspsblpot'\u001b[0m: \u001b[32m'combined_ERA5_1999_2019_evspsblpot.nc'\u001b[0m,\n",
+       "        \u001b[32m'pr'\u001b[0m: \u001b[32m'combined_ERA5_1999_2019_pr.nc'\u001b[0m,\n",
+       "        \u001b[32m'rsds'\u001b[0m: \u001b[32m'combined_ERA5_1999_2019_rsds.nc'\u001b[0m,\n",
+       "        \u001b[32m'tas'\u001b[0m: \u001b[32m'combined_ERA5_1999_2019_tas.nc'\u001b[0m\n",
+       "    \u001b[1m}\u001b[0m\n",
+       "\u001b[1m)\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Generate ERA5 data\n",
+    "# ERA5_forcing = ewatercycle.forcing.sources['LumpedMakkinkForcing'].generate(\n",
+    "#     dataset=\"ERA5\",\n",
+    "#     start_time=experiment_start_date,\n",
+    "#     end_time=experiment_end_date,\n",
+    "#     shape=shape_file,\n",
+    "# )\n",
+    "\n",
+    "# Load ERA5 data\n",
+    "ERA5_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=forcing_path_ERA5)\n",
+    "\n",
+    "print(ERA5_forcing)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6fc290da-fa08-48f0-83e3-a39e8f5c36ef",
+   "metadata": {},
+   "source": [
+    "## Calibration Methods"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9b95e67e-780e-4a4d-a2f1-4cf9de2b0512",
+   "metadata": {},
+   "source": [
+    "### Method 1: RMSE"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "3da0e944-b4bf-49c6-a986-a94fc14e0bfe",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def RMSE(sim, obs):\n",
+    "    sim = sim.to_numpy()\n",
+    "    obs = obs.to_numpy()\n",
+    "\n",
+    "    return np.sqrt(np.mean((obs - sim)) ** 2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ba51d28d-1fdb-46af-8f8e-5dcf904aba7f",
+   "metadata": {},
+   "source": [
+    "### Method 2: NSE"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "9ff8dc21-0959-49a4-9d4b-496726c90f88",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def NSE(sim, obs):\n",
+    "    sim = sim.to_numpy()\n",
+    "    obs = obs.to_numpy()\n",
+    "\n",
+    "    return 1 - np.sum((obs - sim) ** 2) / np.sum((obs - np.mean(obs)) ** 2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "93f96591-ceb4-4671-9a48-04a0ddbfaf5a",
+   "metadata": {},
+   "source": [
+    "### Method 3: Log_NSE"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "826cfb65-21ba-4901-aafe-37738913c0ee",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def log_NSE(sim, obs):\n",
+    "    # Convert for easy calculations\n",
+    "    sim = sim.to_numpy()\n",
+    "    obs = obs.to_numpy()\n",
+    "\n",
+    "    # Avoid log(0)\n",
+    "    eps = 0.00000000001\n",
+    "\n",
+    "    log_sim = np.log(sim + eps)\n",
+    "    log_obs = np.log(obs + eps)\n",
+    "\n",
+    "    return 1 - np.sum((log_obs - log_sim) ** 2) / np.sum((log_obs - np.mean(log_obs)) ** 2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8dc2e27c-2caa-493a-8ad0-3a8540ff4a18",
+   "metadata": {},
+   "source": [
+    "### Define Parameters & Storages and Times"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "2ed6540e-ec2f-4f80-975f-66fee4b2a75a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Define initial storages\n",
+    "#               Si,  Su, Sf, Ss, Sp\n",
+    "s_0 = np.array([0,  100,  0,  5,  0])\n",
+    "\n",
+    "# Define parameters (range)\n",
+    "parameter_ranges = {\n",
+    "    \"Imax\":  (5.5, 8),            # Maximum interception storage\n",
+    "    \"Ce\":    (0.35, 0.6),       # Evaporation correction factor\n",
+    "    \"Sumax\": (150, 220),         # Maximum soil moisture storage\n",
+    "    \"Beta\":  (1.6, 2),          # Soil runoff parameter\n",
+    "    \"Pmax\":  (0.1, 0.6),            # Maximum percolation rate\n",
+    "    \"Tlag\":  (5.2, 7),           # Time lag\n",
+    "    \"Kf\":    (0.01, 0.1),       # Fast reservoir recession coefficient\n",
+    "    \"Ks\":    (0.001, 0.1),     # Slow reservoir recession coefficient\n",
+    "    \"FM\":    (0.3, 1.4),          # Snowmelt factor\n",
+    "}\n",
+    "\n",
+    "# parameter_ranges = {\n",
+    "#     \"Imax\":  (6.27, 6.28),            # Maximum interception storage\n",
+    "#     \"Ce\":    (0.48, 0.49),       # Evaporation correction factor\n",
+    "#     \"Sumax\": (174, 175),         # Maximum soil moisture storage\n",
+    "#     \"Beta\":  (1.95, 1.96),          # Soil runoff parameter\n",
+    "#     \"Pmax\":  (0.33, 0.34),            # Maximum percolation rate\n",
+    "#     \"Tlag\":  (6.19, 6.2),           # Time lag\n",
+    "#     \"Kf\":    (0.07, 0.08),       # Fast reservoir recession coefficient\n",
+    "#     \"Ks\":    (0.004, 0.0045),     # Slow reservoir recession coefficient\n",
+    "#     \"FM\":    (0.4, 0.41),          # Snowmelt factor\n",
+    "# }\n",
+    "\n",
+    "# Convert to arrays\n",
+    "parameter_names = list(parameter_ranges.keys())\n",
+    "\n",
+    "p_min = np.array([parameter_ranges[name][0] for name in parameter_names])\n",
+    "p_max = np.array([parameter_ranges[name][1] for name in parameter_names])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fc6ef77d-95ba-4277-ab8c-654fa025894d",
+   "metadata": {},
+   "source": [
+    "### Create samples"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "47df771f-85c1-40a7-9e28-a6dfb3134514",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">[</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7.85285914e+00</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3.89990216e-01</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.76127959e+02</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.92058774e+00</span>\n",
+       " <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5.56024109e-01</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6.99810960e+00</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3.01314564e-02</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6.63774925e-02</span>\n",
+       " <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">9.62585104e-01</span><span style=\"font-weight: bold\">]</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1m[\u001b[0m\u001b[1;36m7.85285914e+00\u001b[0m \u001b[1;36m3.89990216e-01\u001b[0m \u001b[1;36m1.76127959e+02\u001b[0m \u001b[1;36m1.92058774e+00\u001b[0m\n",
+       " \u001b[1;36m5.56024109e-01\u001b[0m \u001b[1;36m6.99810960e+00\u001b[0m \u001b[1;36m3.01314564e-02\u001b[0m \u001b[1;36m6.63774925e-02\u001b[0m\n",
+       " \u001b[1;36m9.62585104e-01\u001b[0m\u001b[1m]\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "### Create samples\n",
+    "N = 600\n",
+    "par_samples = np.random.rand(N, len(parameter_ranges))                  # Generates random values between 0-1\n",
+    "parameter_sets = p_min + par_samples * (p_max - p_min)                  # Fits value to parameter range\n",
+    "\n",
+    "print(parameter_sets[:][0])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e22418a9-e4ba-4890-85a8-abcfd66c85f2",
+   "metadata": {},
+   "source": [
+    "### Define time period"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "9c72add6-8b9f-4b3e-9e9f-77406215c196",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Define time period\n",
+    "calibration_start_date = pd.to_datetime(calibration_start.replace(\"Z\", \"\"))\n",
+    "calibration_end_date = pd.to_datetime(calibration_end.replace(\"Z\", \"\"))\n",
+    "\n",
+    "# Skip 1 year for calibration\n",
+    "evaluation_start = pd.to_datetime(f\"{calibration_start_date.year + 1}-01-01\")\n",
+    "\n",
+    "# Align q_obs\n",
+    "q_obs = q_obs[(q_obs[\"Date\"] >= calibration_start_date) & (q_obs[\"Date\"] <= calibration_end_date)]\n",
+    "observed_output = pd.Series(data=q_obs[\"discharge_m3s\"].to_numpy(), name=\"Observed discharge\", index=q_obs[\"Date\"])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "645d5bb0-de70-4b97-9aa0-93094c91ebe6",
+   "metadata": {},
+   "source": [
+    "## Calibration start function"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "0f58e61f-7178-44f8-8e5e-e1fa402813c9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create function to run the model\n",
+    "\n",
+    "def run_hbv(parameters, initial_storages, forcing):\n",
+    "\n",
+    "    # Create model object\n",
+    "    model = ewatercycle.models.HBV(forcing=forcing)\n",
+    "\n",
+    "    # Create config file\n",
+    "    config_file, _ = model.setup(\n",
+    "        parameters=parameters,\n",
+    "        initial_storages=initial_storages,\n",
+    "        cfg_dir=calibration_temp\n",
+    "    )\n",
+    "\n",
+    "    # Initialising model\n",
+    "    model.initialize(config_file)\n",
+    "\n",
+    "    # Define & update outputs \n",
+    "    Q_m = []\n",
+    "    time = []\n",
+    "\n",
+    "    while model.time < model.end_time:\n",
+    "        model.update()\n",
+    "        Q_m.append(model.get_value(\"Q\")[0])\n",
+    "        time.append(pd.Timestamp(model.time_as_datetime))\n",
+    "\n",
+    "    model.finalize()\n",
+    "\n",
+    "    # Convert mm/day to m3/s\n",
+    "    model_output_mmday = pd.Series(\n",
+    "        data=Q_m, \n",
+    "        index=time, \n",
+    "        name=\"Modelled discharge\"\n",
+    "    )\n",
+    "    model_output_m3s = model_output_mmday * basin_size * 1000 / 86400\n",
+    "\n",
+    "    return model_output_m3s"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1e93b5d4-0a92-4d09-b135-07101e614d9e",
+   "metadata": {},
+   "source": [
+    "### Run HBV loop"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "577e23e5-8db6-45a1-b91b-aae3a46b6c12",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "1ce6bc7773174ef98c9608eb840d31a4",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "IntProgress(value=0, max=600)"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m1\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m2\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m3\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m4\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m5\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m6\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m7\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">8</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m8\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">9</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m9\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">10</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m10\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">11</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m11\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">12</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m12\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">13</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m13\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">14</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m14\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">15</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m15\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">16</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m16\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">17</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m17\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">18</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m18\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">19</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m19\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">20</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m20\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">21</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m21\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">22</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m22\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">23</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m23\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">24</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m24\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">25</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m25\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">26</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m26\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">27</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m27\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">28</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m28\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">29</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m29\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">30</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m30\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">31</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m31\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">32</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m32\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">33</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m33\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">34</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m34\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">35</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m35\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">36</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m36\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">37</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m37\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">38</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m38\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">39</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m39\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">40</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m40\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">41</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m41\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">42</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m42\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">43</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m43\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">44</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m44\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">45</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m45\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">46</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m46\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">47</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m47\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">48</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m48\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">49</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m49\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">50</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m50\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">51</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m51\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">52</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m52\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">53</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m53\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">54</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m54\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">55</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m55\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">56</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m56\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">57</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m57\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">58</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m58\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">59</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m59\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">60</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m60\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">61</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m61\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">62</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m62\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">63</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m63\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">64</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m64\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">65</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m65\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">66</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m66\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">67</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m67\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">68</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m68\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">69</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m69\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">70</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m70\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">71</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m71\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">72</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m72\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">73</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m73\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">74</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m74\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">75</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m75\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">76</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m76\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">77</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m77\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">78</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m78\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">79</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m79\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">80</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m80\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">81</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m81\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">82</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m82\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">83</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m83\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">84</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m84\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">85</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m85\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">86</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m86\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">87</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m87\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">88</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m88\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">89</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m89\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">90</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m90\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">91</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m91\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">92</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m92\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">93</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m93\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">94</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m94\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">95</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m95\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">96</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m96\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">97</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m97\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">98</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m98\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">99</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m99\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">100</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m100\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">101</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m101\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">102</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m102\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">103</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m103\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">104</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m104\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">105</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m105\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">106</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m106\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">107</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m107\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">108</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m108\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">109</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m109\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">110</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m110\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">111</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m111\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">112</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m112\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">113</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m113\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">114</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m114\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">115</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m115\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">116</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m116\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">117</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m117\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">118</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m118\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">119</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m119\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">120</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m120\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">121</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m121\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">122</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m122\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">123</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m123\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">124</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m124\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">125</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m125\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">126</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m126\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">127</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m127\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">128</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m128\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">129</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m129\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">130</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m130\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">131</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m131\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">132</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m132\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">133</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m133\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">134</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m134\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">135</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m135\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">136</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m136\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">137</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m137\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">138</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m138\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">139</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m139\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">140</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m140\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">141</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m141\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">142</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m142\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">143</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m143\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">144</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m144\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">145</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m145\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">146</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m146\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">147</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m147\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">148</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m148\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">149</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m149\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">150</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m150\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">151</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m151\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">152</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m152\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">153</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m153\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">154</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m154\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">155</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m155\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">156</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m156\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">157</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m157\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">158</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m158\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">159</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m159\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">160</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m160\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">161</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m161\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">162</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m162\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">163</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m163\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">164</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m164\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">165</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m165\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">166</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m166\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">167</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m167\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">168</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m168\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">169</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m169\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">170</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m170\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">171</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m171\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">172</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m172\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">173</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m173\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">174</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m174\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">175</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m175\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">176</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m176\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">177</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m177\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">178</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m178\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">179</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m179\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">180</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m180\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">181</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m181\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">182</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m182\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">183</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m183\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">184</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m184\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">185</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m185\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">186</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m186\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">187</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m187\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">188</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m188\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">189</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m189\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">190</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m190\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">191</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m191\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">192</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m192\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">193</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m193\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">194</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m194\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">195</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m195\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">196</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m196\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">197</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m197\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">198</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m198\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">199</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m199\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">200</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m200\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">201</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m201\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">202</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m202\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">203</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m203\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">204</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m204\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">205</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m205\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">206</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m206\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">207</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m207\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">208</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m208\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">209</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m209\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">210</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m210\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">211</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m211\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">212</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m212\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">213</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m213\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">214</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m214\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">215</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m215\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">216</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m216\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">217</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m217\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">218</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m218\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">219</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m219\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">220</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m220\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">221</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m221\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">222</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m222\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">223</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m223\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">224</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m224\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">225</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m225\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">226</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m226\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">227</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m227\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">228</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m228\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">229</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m229\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">230</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m230\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">231</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m231\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">232</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m232\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">233</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m233\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">234</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m234\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">235</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m235\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">236</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m236\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">237</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m237\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">238</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m238\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">239</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m239\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">240</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m240\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">241</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m241\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">242</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m242\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">243</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m243\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">244</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m244\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">245</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m245\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">246</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m246\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">247</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m247\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">248</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m248\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">249</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m249\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">250</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m250\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">251</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m251\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">252</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m252\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">253</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m253\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">254</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m254\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">255</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m255\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">256</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m256\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">257</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m257\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">258</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m258\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">259</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m259\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">260</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m260\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">261</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m261\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">262</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m262\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">263</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m263\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">264</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m264\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">265</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m265\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">266</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m266\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">267</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m267\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">268</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m268\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">269</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m269\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">270</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m270\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">271</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m271\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">272</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m272\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">273</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m273\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">274</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m274\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">275</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m275\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">276</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m276\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">277</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m277\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">278</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m278\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">279</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m279\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">280</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m280\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">281</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m281\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">282</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m282\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">283</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m283\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">284</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m284\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">285</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m285\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">286</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m286\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">287</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m287\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">288</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m288\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">289</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m289\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">290</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m290\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">291</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m291\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">292</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m292\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">293</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m293\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">294</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m294\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">295</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m295\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">296</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m296\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">297</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m297\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">298</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m298\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">299</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m299\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m300\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">301</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m301\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">302</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m302\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">303</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m303\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">304</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m304\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">305</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m305\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">306</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m306\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">307</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m307\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">308</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m308\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">309</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m309\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">310</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m310\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">311</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m311\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">312</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m312\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">313</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m313\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">314</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m314\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">315</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m315\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">316</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m316\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">317</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m317\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">318</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m318\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">319</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m319\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">320</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m320\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">321</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m321\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">322</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m322\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">323</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m323\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">324</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m324\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">325</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m325\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">326</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m326\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">327</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m327\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">328</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m328\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">329</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m329\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">330</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m330\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">331</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m331\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">332</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m332\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">333</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m333\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">334</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m334\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">335</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m335\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">336</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m336\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">337</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m337\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">338</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m338\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">339</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m339\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">340</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m340\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">341</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m341\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">342</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m342\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">343</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m343\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">344</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m344\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">345</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m345\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">346</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m346\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">347</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m347\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">348</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m348\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">349</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m349\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">350</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m350\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">351</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m351\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">352</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m352\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">353</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m353\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">354</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m354\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">355</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m355\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">356</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m356\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">357</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m357\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">358</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m358\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">359</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m359\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">360</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m360\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">361</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m361\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">362</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m362\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">363</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m363\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">364</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m364\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">365</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m365\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">366</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m366\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">367</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m367\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">368</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m368\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">369</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m369\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">370</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m370\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">371</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m371\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">372</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m372\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">373</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m373\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">374</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m374\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">375</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m375\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">376</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m376\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">377</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m377\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">378</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m378\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">379</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m379\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">380</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m380\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">381</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m381\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">382</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m382\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">383</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m383\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">384</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m384\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">385</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m385\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">386</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m386\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">387</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m387\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">388</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m388\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">389</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m389\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">390</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m390\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">391</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m391\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">392</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m392\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">393</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m393\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">394</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m394\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">395</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m395\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">396</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m396\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">397</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m397\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">398</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m398\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">399</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m399\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">400</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m400\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">401</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m401\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">402</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m402\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">403</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m403\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">404</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m404\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">405</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m405\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">406</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m406\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">407</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m407\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">408</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m408\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">409</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m409\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">410</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m410\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">411</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m411\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">412</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m412\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">413</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m413\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">414</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m414\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">415</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m415\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">416</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m416\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">417</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m417\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">418</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m418\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">419</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m419\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">420</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m420\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">421</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m421\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">422</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m422\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">423</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m423\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">424</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m424\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">425</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m425\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">426</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m426\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">427</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m427\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">428</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m428\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">429</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m429\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">430</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m430\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">431</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m431\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">432</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m432\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">433</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m433\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">434</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m434\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">435</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m435\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">436</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m436\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">437</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m437\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">438</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m438\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">439</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m439\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">440</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m440\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">441</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m441\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">442</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m442\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">443</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m443\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">444</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m444\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">445</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m445\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">446</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m446\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">447</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m447\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">448</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m448\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">449</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m449\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">450</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m450\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">451</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m451\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">452</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m452\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">453</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m453\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">454</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m454\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">455</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m455\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">456</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m456\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">457</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m457\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">458</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m458\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">459</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m459\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">460</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m460\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">461</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m461\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">462</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m462\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">463</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m463\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">464</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m464\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">465</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m465\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">466</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m466\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">467</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m467\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">468</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m468\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">469</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m469\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">470</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m470\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">471</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m471\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">472</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m472\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">473</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m473\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">474</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m474\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">475</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m475\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">476</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m476\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">477</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m477\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">478</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m478\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">479</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m479\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">480</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m480\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">481</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m481\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">482</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m482\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">483</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m483\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">484</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m484\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">485</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m485\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">486</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m486\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">487</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m487\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">488</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m488\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">489</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m489\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">490</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m490\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">491</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m491\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">492</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m492\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">493</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m493\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">494</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m494\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">495</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m495\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">496</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m496\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">497</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m497\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">498</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m498\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">499</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m499\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">500</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m500\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">501</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m501\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">502</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m502\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">503</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m503\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">504</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m504\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">505</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m505\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">506</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m506\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">507</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m507\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">508</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m508\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">509</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m509\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">510</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m510\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">511</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m511\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">512</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m512\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">513</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m513\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">514</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m514\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">515</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m515\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">516</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m516\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">517</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m517\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">518</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m518\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">519</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m519\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">520</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m520\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">521</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m521\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">522</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m522\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">523</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m523\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">524</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m524\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">525</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m525\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">526</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m526\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">527</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m527\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">528</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m528\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">529</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m529\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">530</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m530\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">531</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m531\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">532</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m532\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">533</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m533\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">534</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m534\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">535</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m535\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">536</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m536\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">537</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m537\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">538</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m538\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">539</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m539\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">540</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m540\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">541</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m541\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">542</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m542\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">543</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m543\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">544</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m544\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">545</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m545\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">546</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m546\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">547</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m547\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">548</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m548\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">549</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m549\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">550</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m550\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">551</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m551\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">552</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m552\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">553</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m553\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">554</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m554\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">555</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m555\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">556</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m556\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">557</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m557\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">558</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m558\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">559</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m559\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">560</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m560\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">561</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m561\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">562</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m562\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">563</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m563\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">564</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m564\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">565</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m565\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">566</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m566\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">567</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m567\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">568</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m568\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">569</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m569\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">570</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m570\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">571</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m571\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">572</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m572\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">573</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m573\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">574</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m574\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">575</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m575\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">576</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m576\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">577</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m577\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">578</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m578\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">579</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m579\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">580</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m580\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">581</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m581\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">582</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m582\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">583</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m583\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">584</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m584\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">585</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m585\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">586</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m586\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">587</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m587\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">588</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m588\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">589</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m589\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">590</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m590\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">591</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m591\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">592</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m592\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">593</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m593\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">594</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m594\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">595</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m595\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">596</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m596\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">597</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m597\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">598</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m598\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">599</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m599\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m600\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "results = []\n",
+    "\n",
+    "# Progress bar for visualization\n",
+    "f = IntProgress(min=0, max=N)\n",
+    "display(f)\n",
+    "\n",
+    "for i in range(N):\n",
+    "    print(f\"Running parameter set {i+1}/{N}\")\n",
+    "\n",
+    "    simulated = run_hbv(\n",
+    "        parameters=parameter_sets[i], \n",
+    "        initial_storages=s_0, \n",
+    "        forcing=ERA5_forcing\n",
+    "    )\n",
+    "\n",
+    "    # Filter data by day only, not by day & time to prevent alignment issues\n",
+    "    simulated_daily = simulated\n",
+    "    observed_daily = observed_output\n",
+    "\n",
+    "    simulated_daily.index = pd.to_datetime(simulated_daily.index).tz_localize(None).normalize()\n",
+    "    observed_daily.index = pd.to_datetime(observed_daily.index).tz_localize(None).normalize()\n",
+    "    \n",
+    "    # Align simulated and observed data\n",
+    "    combined_data = pd.DataFrame(\n",
+    "        {\"Modelled discharge\": simulated_daily, \n",
+    "        \"Observed discharge\": observed_daily}\n",
+    "    ).dropna()\n",
+    "\n",
+    "    # Skip first year as warm-up\n",
+    "    combined_data = combined_data[\n",
+    "        (combined_data.index >= evaluation_start) &\n",
+    "        (combined_data.index <= calibration_end_date)\n",
+    "    ]\n",
+    "\n",
+    "    # Exclude ice-affected winter period\n",
+    "    combined_data = combined_data[\n",
+    "        ~combined_data.index.month.isin([11, 12, 1, 2, 3, 4])\n",
+    "    ]\n",
+    "\n",
+    "    # Append results and drop nan\n",
+    "    if combined_data.empty:\n",
+    "        print(f\"No overlapping data for parameter set {i+1}\")\n",
+    "        nse = np.nan\n",
+    "        log_nse = np.nan\n",
+    "    else:\n",
+    "        nse = NSE(\n",
+    "            combined_data[\"Modelled discharge\"], \n",
+    "            combined_data[\"Observed discharge\"]\n",
+    "        )\n",
+    "        log_nse = log_NSE(\n",
+    "            combined_data[\"Modelled discharge\"], \n",
+    "            combined_data[\"Observed discharge\"]\n",
+    "        )\n",
+    "        \n",
+    "    results.append({\n",
+    "        \"run\": i,\n",
+    "        \"NSE\": nse,\n",
+    "        \"log_NSE\": log_nse,\n",
+    "        \"parameters\": parameter_sets[i]\n",
+    "    })"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2d7b5f35-f872-4ef5-8ced-c92cdd81c8f8",
+   "metadata": {},
+   "source": [
+    "### Display best results"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "4c69f827-adda-4ec9-8863-abf0ba31e0d2",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">     run       NSE   log_NSE\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0</span>      <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.288376</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.337195</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>      <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.279102</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.480497</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>      <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.384565</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.462463</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>      <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">-0.085379</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.265060</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>      <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.118825</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.395402</span>\n",
+       "..   <span style=\"color: #808000; text-decoration-color: #808000\">...</span>       <span style=\"color: #808000; text-decoration-color: #808000\">...</span>       <span style=\"color: #808000; text-decoration-color: #808000\">...</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">595</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">595</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.378628</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.445890</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">596</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">596</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.190509</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.402412</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">597</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">597</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.034397</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">-0.105571</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">598</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">598</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.174568</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.090100</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">599</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">599</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.379411</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.461890</span>\n",
+       "\n",
+       "<span style=\"font-weight: bold\">[</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span> rows x <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span> columns<span style=\"font-weight: bold\">]</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "     run       NSE   log_NSE\n",
+       "\u001b[1;36m0\u001b[0m      \u001b[1;36m0\u001b[0m  \u001b[1;36m0.288376\u001b[0m  \u001b[1;36m0.337195\u001b[0m\n",
+       "\u001b[1;36m1\u001b[0m      \u001b[1;36m1\u001b[0m  \u001b[1;36m0.279102\u001b[0m  \u001b[1;36m0.480497\u001b[0m\n",
+       "\u001b[1;36m2\u001b[0m      \u001b[1;36m2\u001b[0m  \u001b[1;36m0.384565\u001b[0m  \u001b[1;36m0.462463\u001b[0m\n",
+       "\u001b[1;36m3\u001b[0m      \u001b[1;36m3\u001b[0m \u001b[1;36m-0.085379\u001b[0m  \u001b[1;36m0.265060\u001b[0m\n",
+       "\u001b[1;36m4\u001b[0m      \u001b[1;36m4\u001b[0m  \u001b[1;36m0.118825\u001b[0m  \u001b[1;36m0.395402\u001b[0m\n",
+       "..   \u001b[33m...\u001b[0m       \u001b[33m...\u001b[0m       \u001b[33m...\u001b[0m\n",
+       "\u001b[1;36m595\u001b[0m  \u001b[1;36m595\u001b[0m  \u001b[1;36m0.378628\u001b[0m  \u001b[1;36m0.445890\u001b[0m\n",
+       "\u001b[1;36m596\u001b[0m  \u001b[1;36m596\u001b[0m  \u001b[1;36m0.190509\u001b[0m  \u001b[1;36m0.402412\u001b[0m\n",
+       "\u001b[1;36m597\u001b[0m  \u001b[1;36m597\u001b[0m  \u001b[1;36m0.034397\u001b[0m \u001b[1;36m-0.105571\u001b[0m\n",
+       "\u001b[1;36m598\u001b[0m  \u001b[1;36m598\u001b[0m  \u001b[1;36m0.174568\u001b[0m  \u001b[1;36m0.090100\u001b[0m\n",
+       "\u001b[1;36m599\u001b[0m  \u001b[1;36m599\u001b[0m  \u001b[1;36m0.379411\u001b[0m  \u001b[1;36m0.461890\u001b[0m\n",
+       "\n",
+       "\u001b[1m[\u001b[0m\u001b[1;36m600\u001b[0m rows x \u001b[1;36m3\u001b[0m columns\u001b[1m]\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Best run: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">232</span> with NSE: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.5042075946097913</span>, with parameters:\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Best run: \u001b[1;36m232\u001b[0m with NSE: \u001b[1;36m0.5042075946097913\u001b[0m, with parameters:\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">[</span>\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Imax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6.488362330365561</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ce'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.4845571293512798</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Sumax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">218.83336737778694</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Beta'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.7699130278847444</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Pmax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.1358146729030282</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Tlag'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5.44235281882723</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Kf'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.04585512368848791</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ks'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.008840391568068273</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'FM'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.8983450417631202</span><span style=\"font-weight: bold\">)</span>\n",
+       "<span style=\"font-weight: bold\">]</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1m[\u001b[0m\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Imax'\u001b[0m, \u001b[1;36m6.488362330365561\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ce'\u001b[0m, \u001b[1;36m0.4845571293512798\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Sumax'\u001b[0m, \u001b[1;36m218.83336737778694\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Beta'\u001b[0m, \u001b[1;36m1.7699130278847444\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Pmax'\u001b[0m, \u001b[1;36m0.1358146729030282\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Tlag'\u001b[0m, \u001b[1;36m5.44235281882723\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Kf'\u001b[0m, \u001b[1;36m0.04585512368848791\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ks'\u001b[0m, \u001b[1;36m0.008840391568068273\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'FM'\u001b[0m, \u001b[1;36m0.8983450417631202\u001b[0m\u001b[1m)\u001b[0m\n",
+       "\u001b[1m]\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Best run: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">451</span> with log_NSE: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.5985790718618934</span>, with parameters:\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Best run: \u001b[1;36m451\u001b[0m with log_NSE: \u001b[1;36m0.5985790718618934\u001b[0m, with parameters:\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">[</span>\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Imax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6.9919295474161505</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ce'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.44128061023639964</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Sumax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">183.49045936834898</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Beta'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.62907119850059</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Pmax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.5726586861631707</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Tlag'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5.2154764587256395</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Kf'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.06546844116401723</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ks'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.0025930490563726475</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'FM'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.1427426360454793</span><span style=\"font-weight: bold\">)</span>\n",
+       "<span style=\"font-weight: bold\">]</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1m[\u001b[0m\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Imax'\u001b[0m, \u001b[1;36m6.9919295474161505\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ce'\u001b[0m, \u001b[1;36m0.44128061023639964\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Sumax'\u001b[0m, \u001b[1;36m183.49045936834898\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Beta'\u001b[0m, \u001b[1;36m1.62907119850059\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Pmax'\u001b[0m, \u001b[1;36m0.5726586861631707\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Tlag'\u001b[0m, \u001b[1;36m5.2154764587256395\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Kf'\u001b[0m, \u001b[1;36m0.06546844116401723\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ks'\u001b[0m, \u001b[1;36m0.0025930490563726475\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'FM'\u001b[0m, \u001b[1;36m1.1427426360454793\u001b[0m\u001b[1m)\u001b[0m\n",
+       "\u001b[1m]\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "results = pd.DataFrame(results)\n",
+    "\n",
+    "print(results[[\"run\", \"NSE\", \"log_NSE\"]])\n",
+    "\n",
+    "# # Best NSE\n",
+    "# best_run_nse = results[\"NSE\"].idxmax()\n",
+    "# best_result_nse = results.loc[best_run_nse]\n",
+    "\n",
+    "# best_parameters_nse = best_result_nse[\"parameters\"]\n",
+    "# best_nse = best_result_nse[\"NSE\"]\n",
+    "\n",
+    "# print(f'Best run: {best_run_nse} with NSE: {best_nse}, with parameters:')\n",
+    "# print(list(zip(parameter_names, best_parameters_nse)))\n",
+    "\n",
+    "# Best log_NSE\n",
+    "best_run_log_nse = results[\"log_NSE\"].idxmax()\n",
+    "best_result_log_nse = results.loc[best_run_log_nse]\n",
+    "\n",
+    "best_parameters_log_nse = best_result_log_nse[\"parameters\"]\n",
+    "best_log_nse = best_result_log_nse[\"log_NSE\"]\n",
+    "\n",
+    "print(f'Best run: {best_run_log_nse} with log_NSE: {best_log_nse}, with parameters:')\n",
+    "print(list(zip(parameter_names, best_parameters_log_nse)))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "bb2f1f27-9a79-41fa-b416-e32bbee15075",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Rank <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>: run <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">451</span> with LNSE: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.5985790718618934</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Rank \u001b[1;36m1\u001b[0m: run \u001b[1;36m451\u001b[0m with LNSE: \u001b[1;36m0.5985790718618934\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">[</span>\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Imax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6.9919295474161505</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ce'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.44128061023639964</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Sumax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">183.49045936834898</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Beta'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.62907119850059</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Pmax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.5726586861631707</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Tlag'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5.2154764587256395</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Kf'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.06546844116401723</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ks'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.0025930490563726475</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'FM'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.1427426360454793</span><span style=\"font-weight: bold\">)</span>\n",
+       "<span style=\"font-weight: bold\">]</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1m[\u001b[0m\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Imax'\u001b[0m, \u001b[1;36m6.9919295474161505\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ce'\u001b[0m, \u001b[1;36m0.44128061023639964\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Sumax'\u001b[0m, \u001b[1;36m183.49045936834898\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Beta'\u001b[0m, \u001b[1;36m1.62907119850059\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Pmax'\u001b[0m, \u001b[1;36m0.5726586861631707\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Tlag'\u001b[0m, \u001b[1;36m5.2154764587256395\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Kf'\u001b[0m, \u001b[1;36m0.06546844116401723\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ks'\u001b[0m, \u001b[1;36m0.0025930490563726475\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'FM'\u001b[0m, \u001b[1;36m1.1427426360454793\u001b[0m\u001b[1m)\u001b[0m\n",
+       "\u001b[1m]\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Rank <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>: run <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">193</span> with LNSE: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.5871245105302814</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Rank \u001b[1;36m2\u001b[0m: run \u001b[1;36m193\u001b[0m with LNSE: \u001b[1;36m0.5871245105302814\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">[</span>\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Imax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5.882658193683639</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ce'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.47241275652770587</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Sumax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">194.30386240959916</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Beta'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.781621276884348</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Pmax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.4608178778064105</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Tlag'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5.215364575839981</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Kf'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.06419932503784231</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ks'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.015979806886031615</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'FM'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.0919722363345776</span><span style=\"font-weight: bold\">)</span>\n",
+       "<span style=\"font-weight: bold\">]</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1m[\u001b[0m\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Imax'\u001b[0m, \u001b[1;36m5.882658193683639\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ce'\u001b[0m, \u001b[1;36m0.47241275652770587\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Sumax'\u001b[0m, \u001b[1;36m194.30386240959916\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Beta'\u001b[0m, \u001b[1;36m1.781621276884348\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Pmax'\u001b[0m, \u001b[1;36m0.4608178778064105\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Tlag'\u001b[0m, \u001b[1;36m5.215364575839981\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Kf'\u001b[0m, \u001b[1;36m0.06419932503784231\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ks'\u001b[0m, \u001b[1;36m0.015979806886031615\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'FM'\u001b[0m, \u001b[1;36m1.0919722363345776\u001b[0m\u001b[1m)\u001b[0m\n",
+       "\u001b[1m]\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Rank <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>: run <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">71</span> with LNSE: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.5802931655594039</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Rank \u001b[1;36m3\u001b[0m: run \u001b[1;36m71\u001b[0m with LNSE: \u001b[1;36m0.5802931655594039\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">[</span>\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Imax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6.279358279165555</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ce'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.45738099679628363</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Sumax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">218.06826364855027</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Beta'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.8389403651683596</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Pmax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.49366891001367486</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Tlag'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6.037707687593043</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Kf'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.07007118899924838</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ks'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.024409700594446738</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'FM'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.2556224532809368</span><span style=\"font-weight: bold\">)</span>\n",
+       "<span style=\"font-weight: bold\">]</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1m[\u001b[0m\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Imax'\u001b[0m, \u001b[1;36m6.279358279165555\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ce'\u001b[0m, \u001b[1;36m0.45738099679628363\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Sumax'\u001b[0m, \u001b[1;36m218.06826364855027\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Beta'\u001b[0m, \u001b[1;36m1.8389403651683596\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Pmax'\u001b[0m, \u001b[1;36m0.49366891001367486\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Tlag'\u001b[0m, \u001b[1;36m6.037707687593043\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Kf'\u001b[0m, \u001b[1;36m0.07007118899924838\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ks'\u001b[0m, \u001b[1;36m0.024409700594446738\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'FM'\u001b[0m, \u001b[1;36m1.2556224532809368\u001b[0m\u001b[1m)\u001b[0m\n",
+       "\u001b[1m]\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Rank <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>: run <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">152</span> with LNSE: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.5697643546613578</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Rank \u001b[1;36m4\u001b[0m: run \u001b[1;36m152\u001b[0m with LNSE: \u001b[1;36m0.5697643546613578\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">[</span>\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Imax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7.301551796430246</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ce'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.49391712556044987</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Sumax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">211.00486173599964</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Beta'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.9612109256650778</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Pmax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.46785716423961</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Tlag'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6.467897643950326</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Kf'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.055226399867357515</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ks'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.03429434734237983</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'FM'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.191697747701756</span><span style=\"font-weight: bold\">)</span>\n",
+       "<span style=\"font-weight: bold\">]</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1m[\u001b[0m\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Imax'\u001b[0m, \u001b[1;36m7.301551796430246\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ce'\u001b[0m, \u001b[1;36m0.49391712556044987\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Sumax'\u001b[0m, \u001b[1;36m211.00486173599964\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Beta'\u001b[0m, \u001b[1;36m1.9612109256650778\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Pmax'\u001b[0m, \u001b[1;36m0.46785716423961\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Tlag'\u001b[0m, \u001b[1;36m6.467897643950326\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Kf'\u001b[0m, \u001b[1;36m0.055226399867357515\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ks'\u001b[0m, \u001b[1;36m0.03429434734237983\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'FM'\u001b[0m, \u001b[1;36m1.191697747701756\u001b[0m\u001b[1m)\u001b[0m\n",
+       "\u001b[1m]\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Rank <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>: run <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">232</span> with LNSE: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.5666729995545778</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Rank \u001b[1;36m5\u001b[0m: run \u001b[1;36m232\u001b[0m with LNSE: \u001b[1;36m0.5666729995545778\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">[</span>\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Imax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6.488362330365561</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ce'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.4845571293512798</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Sumax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">218.83336737778694</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Beta'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.7699130278847444</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Pmax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.1358146729030282</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Tlag'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5.44235281882723</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Kf'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.04585512368848791</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ks'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.008840391568068273</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'FM'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.8983450417631202</span><span style=\"font-weight: bold\">)</span>\n",
+       "<span style=\"font-weight: bold\">]</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1m[\u001b[0m\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Imax'\u001b[0m, \u001b[1;36m6.488362330365561\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ce'\u001b[0m, \u001b[1;36m0.4845571293512798\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Sumax'\u001b[0m, \u001b[1;36m218.83336737778694\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Beta'\u001b[0m, \u001b[1;36m1.7699130278847444\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Pmax'\u001b[0m, \u001b[1;36m0.1358146729030282\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Tlag'\u001b[0m, \u001b[1;36m5.44235281882723\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Kf'\u001b[0m, \u001b[1;36m0.04585512368848791\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ks'\u001b[0m, \u001b[1;36m0.008840391568068273\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'FM'\u001b[0m, \u001b[1;36m0.8983450417631202\u001b[0m\u001b[1m)\u001b[0m\n",
+       "\u001b[1m]\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Get ensemble \n",
+    "\n",
+    "best_5_runs = results[\"log_NSE\"].nlargest(5).index\n",
+    "\n",
+    "best_5_parameters = []\n",
+    "best_5_LNSE = []\n",
+    "\n",
+    "for i in range(len(best_5_runs)):\n",
+    "\n",
+    "    run = best_5_runs[i]\n",
+    "    result = results.loc[run]\n",
+    "\n",
+    "    parameters = result[\"parameters\"]\n",
+    "    lnse = result[\"log_NSE\"]\n",
+    "\n",
+    "    best_5_parameters.append(parameters)\n",
+    "    best_5_LNSE.append(log_nse)\n",
+    "\n",
+    "    print(f\"Rank {i+1}: run {run} with LNSE: {lnse}\")\n",
+    "    print(list(zip(parameter_names, parameters)))\n",
+    "    print()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "127ab139-2d7a-43ad-b012-11188e931c9c",
+   "metadata": {},
+   "source": [
+    "### Plot Observed vs Modelled"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "aeb2ea7e-9826-450f-880e-e1e5e72c9dba",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAABJEAAAIhCAYAAAD+VCv9AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8fJSN1AAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOzdd3xTVRsH8F+SpntAW6AtlL2XbCgbGWUvEQRkKALKEgGZIqBsRCog8IrsKQooKhSQLWUjCsqGsvco0NI2bc77R5uQm9EmpW1u0t/380Gb5OTmuTcnN/c+ec65CiGEABERERERERERURqU9g6AiIiIiIiIiIjkj0kkIiIiIiIiIiJKF5NIRERERERERESULiaRiIiIiIiIiIgoXUwiERERERERERFRuphEIiIiIiIiIiKidDGJRERERERERERE6WISiYiIiIiIiIiI0sUkEhERERERERERpYtJJCJyGIcPH8bbb7+N4OBguLq6IigoCJ06dcKhQ4dM2k6cOBEKhQIPHz60Q6T2VbhwYfTu3dveYdjd62wHhUKBiRMn6m/v3bsXCoUCe/fuzZTYAGD58uVQKBSIjo7O0PN79+6NwoULS+4zjjuz5OTPEwAsWLAAy5cvt+k5f/zxB8LCwuDp6YnAwED07t0b9+/fl7TRbVdL/9avX69v27t3b8ljXl5eKFy4MNq2bYtly5YhISHBYiwPHz6Em5sbFAoFjh8/brHdlStX0LFjR+TKlQve3t5o2rQpTp48abbt+vXrUalSJbi7uyMkJARDhw7FixcvJG2eP3+OkSNHolmzZsiTJ0+m9M/o6Giz20fHXF8VQmD9+vWoV68e8ubNC3d3dxQoUADh4eH4/vvvJc9P6/2wx3513rx5KF26NNzc3FCkSBFMmjQJGo0m3ecZbqe0+pWOLe+9zr179xAQEACFQoGffvopw+vYsGFDNGzYMMPPzyj2pazpS2vWrEHlypXh7u6OwMBAdOvWDTdu3DBp9/z5cwwZMgT58+eHm5sbSpYsiZkzZyI5OTlT1peIso6LvQMgIrLGvHnzMHToUNSoUQMzZ85EoUKFcP36dXz77beoW7cuvvnmGwwaNMjeYRLZ1aFDh1CgQAF7h+F0FixYoE8EWWPfvn1o0aIFWrVqhV9++QX379/HqFGj0LhxYxw/fhxubm4AgA8++ADNmzc3eX7fvn1x+fJlk8c8PDywe/duAMDLly9x48YNbNu2DX379sXs2bMRGRlp9v1ftWoVEhMTAQBLlixBtWrVTNo8ePAA9erVQ+7cubF06VK4u7tj2rRpaNiwIY4dO4ZSpUrp265ZswbvvvsuPvjgA8yZMwcXLlzAqFGj8N9//2HHjh36do8ePcJ3332HN954A+3btzc5yX5d48aNw1tvvQW1Wp1muzFjxmDGjBno27cvPv30U/j4+ODatWvYvXs3fvnlF3zwwQeS9p06dcLw4cNNlpMnT55MjT89U6ZMwfjx4zF69Gg0a9YMx44dw2effYZbt27hu+++s2oZgwcPRrdu3ST3lShRQnLblvfe0MCBA+Hu7p6xlZMZ9qX0WdOX5s2bhyFDhuCDDz7A9OnTcfPmTYwfPx716tXDX3/9hdy5cwMAkpKS0LRpU1y4cAFffvklSpYsicjISIwePRo3b97E3LlzM2fFiShrCCIimfvzzz+FUqkUrVu3FhqNRvKYRqMRrVu3FkqlUvz555/6+ydMmCAAiAcPHmR3uCbi4uKy9fUKFSokevXqla2vKUevsx0AiAkTJuhv79mzRwAQe/bsyZTYhBBi2bJlAoC4evVqhp7fq1cvUahQoUyLJy3Z9XmKjY3N0uVnVLly5USDBg2sbl+9enVRtmxZyf7q4MGDAoBYsGBBms+9evWqUCgU4t1335Xc36tXL+Hl5WX2Odu3bxdqtVrUrFnT7OPly5cXefPmFdWrVxd+fn5m90mffvqpUKvVIjo6Wn9fTEyMCAwMFJ07d9bfl5SUJIKDg0WzZs0kz1+zZo0AILZu3aq/T6vVCq1WK4QQ4sGDByafq4y4evWqACBatGghAIi5c+dKHjfuq3FxccLNzU307NnT7PKSk5MltwGIgQMHvlaMmeHhw4fC3d1d9OvXT3L/lClThEKhEP/++2+az9dtp1mzZqX7Wta+94Z++ukn4e3tLVasWCEAiB9//NGKtTKvQYMGNn2+Mgv7Uub2pfj4eOHn5yfatGkjuT8qKkoAEGPHjtXft27dOgFAbNy4UdK2X79+QqlUinPnzlmzakRkJxzORkSyN23aNCgUCixcuBAuLtICShcXFyxYsAAKhQLTp083ee6NGzfQsWNH+Pr6ws/PD++++y4ePHggabN79240bNgQAQEB8PDwQMGCBfHWW28hLi5O3yYxMRGTJ0/Wl4LnyZMH7733nsmyChcujNatW2PTpk36cu5JkyahcuXKqFevnkl8ycnJyJ8/Pzp27Gjza2k0GowcORJBQUHw9PRE3bp1cfTo0XS3p0ajQd68edGjRw+Tx54+fQoPDw8MGzYMAKDVajF58mSUKlUKHh4eyJUrFypWrIhvvvkmzdfQDf9au3YtRo0aheDgYHh7e6NNmza4d+8enj9/jn79+iEwMBCBgYF47733TIbCxMfHY8yYMShSpAhcXV2RP39+DBw4EE+fPs3wdrh79y769++PAgUKwNXVVV/Sn5SUlO52M+f48eNo27Yt/P394e7ujsqVK2PDhg0m7Q4fPow6deroh/6MGTPGqmEEOsuXL0epUqXg5uaGMmXKYOXKlWbbGQ8XiouLw4gRI1CkSBG4u7vD398f1apVw7p16yTPO3LkCNq0aYOAgAC4u7ujWLFiGDp0qMny7927h65du8LPzw/58uXD+++/j5iYGEmbb7/9FvXr10fevHnh5eWFChUqYObMmSbr27BhQ5QvXx779+9H7dq14enpiffffx8AcPPmTXTq1Ak+Pj7IlSsXunfvjmPHjkGhUJgMK7P2PTBn0qRJqFmzJvz9/eHr64sqVapgyZIlEELo2xQuXBj//vsv9u3bpx/CYTyM0NCtW7dw7Ngx9OjRQ7K/ql27NkqWLInNmzenGdPSpUshhDCpaEhLs2bN0LdvXxw5cgT79++XPHbkyBGcOXMGPXr0QN++fRETE4ONGzeaLGPz5s148803UahQIf19vr6+6NixI3799Vf9Z+Tw4cO4c+cO3nvvPcnz3377bXh7e0vWT7e9ssKbb76J8PBwfPnll3j+/LnFdrGxsUhISEBwcLDZx5VKeR4KR0ZGIj4+3mQ7v/feexBC4Oeff86017L2vdd5/PgxBg4ciClTpqBgwYKZFofxawwYMAD58+eHq6srihYtinHjxpkM23z69Cn69OkDf39/eHt7o1WrVrhy5YpNQyfZl37OlNc5c+YMYmJi0LJlS8n9YWFh8Pf3l+x3Dh48CIVCgRYtWkjatm7dGlqtNt39JBHZF4ezEZGsJScnY8+ePahWrZrFYTqhoaGoWrUqdu/ejeTkZKhUKv1jHTp0QOfOnfHhhx/i33//xfjx4/Hff//hyJEjUKvViI6ORqtWrVCvXj0sXboUuXLlwq1btxAZGYnExER4enpCq9WiXbt2OHDgAEaOHInatWvj2rVrmDBhAho2bIjjx4/Dw8ND/5onT57E2bNn8dlnn6FIkSLw8vJCSEgIPv74Y1y8eFFS/r1jxw7cvn1bf3Bny2v17dsXK1euxIgRI9C0aVOcOXMGHTt2TPMgGADUajXeffddLFq0CN9++y18fX31j61bt05ysDlz5kxMnDgRn332GerXrw+NRoNz586ZJHIsGTt2LBo1aoTly5cjOjoaI0aMQNeuXeHi4oI33ngD69atw19//YWxY8fCx8dHX8IuhED79u2xa9cujBkzBvXq1cM///yDCRMm4NChQzh06JB+SJC12+Hu3buoUaMGlEolPv/8cxQrVgyHDh3C5MmTER0djWXLllm1Tjp79uxB8+bNUbNmTSxatAh+fn5Yv349unTpgri4OP3Qp//++w+NGzdG4cKFsXz5cnh6emLBggVYu3atVa+zfPlyvPfee2jXrh1mz56NmJgYTJw4EQkJCemetAwbNgyrVq3C5MmTUblyZcTGxuLMmTN49OiRvs327dvRpk0blClTBl9//TUKFiyI6OhoybAknbfeegtdunRBnz59cPr0aYwZMwZASuJD5/Lly+jWrZs++ff3339jypQpOHfunKQdANy5cwfvvvsuRo4cialTp0KpVCI2NhaNGjXC48ePMWPGDBQvXhyRkZHo0qVLht8DS6Kjo9G/f3/9ifDhw4cxePBg3Lp1C59//jmAlBPsTp06wc/PDwsWLAAAfd8z58yZMwCAihUrmjxWsWJFHDx40OJztVotli9fjuLFi6NBgwZpxm6sbdu2WLBgAfbv34/69evr71+yZAkA4P3330doaCiGDh2KJUuW4N1339W3efnyJS5fvowOHTqYjfnly5e4cuUKSpYsaXH91Go1SpcurX88O8yYMQOVK1fGrFmz8MUXX5htExgYiOLFi2PBggXImzcvWrZsiVKlSqWZ3BJCmE0sq1SqdJNi1iak01uWbjtWqFBBcn9wcDACAwOt3s7Tp0/H2LFj4eLigipVqmDkyJFo27at/nFb3nudIUOGoEiRIhg0aJBJ0jIzxMfHo1GjRrh8+TImTZqEihUr4sCBA5g2bRpOnTqF33//HUDK56VNmzY4fvw4Jk6ciCpVquDQoUNmh4imh30pfen1Jd2QWXP7Rzc3N1y8eBHx8fFwd3dHYmIilEqlyfBB3XP/+ecfq2IiIjuxYxUUEVG67t69KwCId955J812Xbp0EQDEvXv3hBCvytA/+eQTSTvdkIvVq1cLIVJK8gGIU6dOWVy2pbLrY8eOmQxPKVSokFCpVOL8+fOStg8fPhSurq6Scm4hhOjcubPIly+fftiLta919uzZNNcvvWFc//zzjwAgvvvuO8n9NWrUEFWrVtXfbt26tahUqVKayzJHN/zLuKx96NChAoAYMmSI5P727dsLf39//e3IyEgBQMycOVPS7ocffpDEbct26N+/v/D29hbXrl2TtP3qq68EAElJP6wYzla6dGlRuXJlkyGWrVu3FsHBwfqhDV26dBEeHh7i7t27+jZJSUmidOnS6Q5nS05OFiEhIaJKlSr6YUFCCBEdHS3UarXJcDbjuMuXLy/at29vcflCCFGsWDFRrFgx8fLlS4ttdJ8n4/djwIABwt3dXRKbcfwajUasXLlSqFQq8fjxY/1jDRo0EADErl27JM/59ttvBQCxbds2yf39+/cXAMSyZcv091n7HlhDF+sXX3whAgICJOtky3A2Xd87dOiQyWP9+vUTrq6uFp+7bds2AUBMmzbN5LG0hrMJ8eqz8NFHH+nvi42NFb6+vqJWrVqS5SgUCnHp0iX9fbdu3bL4umvXrhUARFRUlBAiZQgMAHHnzh2Tts2aNRMlS5Y0G19mD2fTDa3p3r278PLy0sdjbujl0aNHRcGCBQUAAUD4+PiI1q1bi5UrV5r0XV0bc/9WrVplVWzW/EtvaGzfvn2Fm5ub2cdKlixpMpzQ2O3bt0Xfvn3Fhg0bxIEDB8SaNWtErVq1BACxePFifTtb3nshhPjtt9+EWq0Wp0+fFkK82jdm5nC2RYsWCQBiw4YNknYzZswQAMSOHTuEEEL8/vvvAoBYuHChpN20adOs6mvsS5nblx49eiSUSqXo06eP5PmXLl3Sx3r79m0hhBARERECgDhw4ICk7fjx4wWAdGMiIvuSZ90lEZGNROrwE+Nf47p37y653blzZ7i4uGDPnj0AgEqVKsHV1RX9+vXDihUrcOXKFZNl//bbb8iVKxfatGmDpKQk/b9KlSohKCjI5IpdFStWlPxqCwABAQFo06YNVqxYAa1WCwB48uQJfvnlF/Ts2VM/7MXa19LFb2n90lOhQgVUrVpVUn1z9uxZHD16VD+kCABq1KiBv//+GwMGDMD27dvx7NmzdJdtqHXr1pLbZcqUAQC0atXK5P7Hjx/rh7TpJg82riR5++234eXlhV27dgGwbTv89ttvaNSoEUJCQiTbVldOv2/fPqvX69KlSzh37pz+dQ2X17JlS9y5cwfnz5/Xx9i4cWPky5dP/3yVSmW2ssbY+fPncfv2bXTr1k3StwsVKoTatWun+/waNWpg27ZtGD16NPbu3YuXL19KHr9w4QIuX76MPn36WDVBruGvzkBKX4+Pj5dcdeyvv/5C27ZtERAQAJVKBbVajZ49eyI5ORkXLlyQPD937tx48803Jfft27cPPj4+JtUEXbt2ldy25T2wZPfu3WjSpAn8/Pz0sX7++ed49OiRyZXUbGWpMiCtioElS5bAxcUlQ1duEgZD8HQ2bNiAZ8+eST7T77//PoQQZivv0orN+LGMrF9WmDx5MjQaDSZNmmSxTfXq1XHp0iVERkZi7NixCAsLw65du9CzZ0+0bdvWZNt17twZx44dM/lnPEzHWEhIiNnnmftXtWrVdNfNlvfDWHBwML777ju8/fbbqFu3Lrp164b9+/ejcuXKGD16tEmVizWvFRMTg/79+2PUqFEoX758uvFn1O7du+Hl5YVOnTpJ7td9LnT7f90+u3PnzpJ2xvsKa7EvmWdtX/L390f37t2xcuVK/O9//8Pjx4/xzz//oHv37voKcV31bPfu3eHv749+/frhyJEjePr0KdatW6evRpbr0EAiSsHhbEQka4GBgfD09MTVq1fTbBcdHQ1PT0/4+/tL7g8KCpLcdnFxQUBAgH44T7FixfDHH39g5syZGDhwIGJjY1G0aFEMGTIEH3/8MYCUeWCePn0KV1dXs69tfNlzS/MlvP/++9i4cSN27tyJ8PBwrFu3DgkJCZITRmtfSxe/pfWzxvvvv4+BAwfi3LlzKF26NJYtWwY3NzfJAfiYMWPg5eWF1atXY9GiRVCpVKhfvz5mzJhh9gpPxozfD916Wbo/Pj4e3t7eePToEVxcXEyuYKNQKBAUFKRff1u2w7179/Drr79avPqOLZevv3fvHgBgxIgRGDFiRJrLe/TokUl85mI2x9L66e6Ljo5O8/lz585FgQIF8MMPP2DGjBlwd3dHeHg4Zs2ahRIlSujn2bL2im7G21Q39ECXnLp+/Trq1auHUqVK4ZtvvkHhwoXh7u6Oo0ePYuDAgSZJLHOflUePHkkSbjrG99nyHphz9OhRNGvWDA0bNsTixYv182T9/PPPmDJlikms1tJtI8MhgzqPHz826fuGsW7ZsgWtWrWyqm8Yu3btGoCUk0+dJUuWwN3dHc2bN9cPQa1YsaJ+aOWkSZOgUqmQO3duKBQKizEDrz6zhutn/J6ktX5ZpXDhwhgwYADmz5+vn8vNHLVajfDwcISHhwNIib9Tp0747bffsG3bNslJfZ48eazavxlzdXVFpUqVrGprOOzanICAAMTHxyMuLg6enp6Sxx4/fmxV4sCYWq1Gly5dMHr0aFy8eBFlypSx6b0fN24c1Go1Bg0apO9PusR/XFwcnj59Cj8/v9dOJOr2mcbLyZs3L1xcXCT7fxcXF5M+Z27/YQ32JeuZ60sAsHDhQgghMGDAAHz44YdQKpXo0aMH8uXLh+3bt+v3H4GBgYiMjESvXr1Qq1YtfZxff/01+vTpg/z589scExFlHyaRiEjWVCoVGjVqhMjISNy8edPsye7Nmzdx4sQJtGjRwuRg6u7du5KDkaSkJDx69EhyMlyvXj3Uq1cPycnJOH78OObNm4ehQ4ciX758eOeddxAYGIiAgABERkaajdHHx0dy29IBdHh4OEJCQrBs2TKEh4dj2bJlqFmzJsqWLatvY+1r6eK3tH7W6Nq1K4YNG4bly5djypQpWLVqFdq3b6+/BC+QkowZNmwYhg0bhqdPn+KPP/7A2LFjER4ejhs3bpgckGaWgIAAJCUl4cGDB5JEkhACd+/eRfXq1fXtAOu2Q2BgICpWrIgpU6aYfU3Dk+/0BAYGAkhJshlOim5Id1nsgIAA3L171+Rxc/cZM1y/jDzfy8sLkyZNwqRJk3Dv3j19VVKbNm1w7tw5/ba9efNmusuyxs8//4zY2Fhs2rRJMknvqVOnzLY391kJCAgwOzG68fra8h6Ys379eqjVavz222+SKqzXnWRWV6Fx+vRpk2qD06dPW6zgWLVqFRITE22aUNvQli1bAKRMWA6kVJn9+eefAGBx8uPt27ejZcuW8PDwQPHixXH69GmTNqdPn4aHhweKFi0K4NW8KqdPn5bsu5KSknDu3LkMV4G8js8++wxLly7F2LFjUa5cOaueExAQgKFDh2Lv3r04c+ZMupUh1oiOjkaRIkWsartnzx79e2WO4XauWbOm/v67d+/i4cOHGa4E0lXK6Co9bHnvz5w5g+joaLNJzl69egFIqbDNlStXhmLTCQgIwJEjRyCEkOwj7t+/j6SkJP1nX/c9YZy8tGbfaAn7kvWM+xKQ8p2zatUqzJ07Fzdu3EBISAgCAwNRunRp1K5dW1IhXL16dfz333+Ijo5GbGwsSpQogRMnTgCAZF43IpIfJpGISPbGjBmDbdu2YcCAAdi8ebMkUZScnIyPPvoIQgj9JL+G1qxZI/mVbcOGDUhKSjJ7wKVSqVCzZk2ULl0aa9aswcmTJ/HOO++gdevWWL9+PZKTkyUHYLZSqVTo0aMHIiIicODAARw/fhz/+9//JG2sfS1d/JbWzxq5c+dG+/btsXLlSoSFheHu3buSYS/GcuXKhU6dOuHWrVsYOnQooqOjJSeRmalx48aYOXMmVq9ejU8++UR//8aNGxEbG4vGjRsDsG07tG7dGlu3bkWxYsUkibKMKFWqFEqUKIG///4bU6dOTbNto0aNsGXLFty7d0//C3lycjJ++OEHq14nODgY69atw7Bhw/QnVNeuXUNUVJRNia98+fKhd+/e+PvvvxEREYG4uDiULFkSxYoVw9KlSzFs2LA0J4y2hi4+w+UIIbB48WKrl9GgQQNs2LAB27Ztk1y5Z/369ZJ2trwHlmJ1cXGR7E9evnyJVatWmbR1c3OzujIpf/78qFGjBlavXo0RI0bol3/48GGcP3/e7FXvgJSqoZCQEJOrFVlj586d+P7771G7dm3UrVtXvzwAWLx4MYoXLy5p//LlS7Rr1w5Lly7Vn/B26NABERERuHHjBkJDQwEAz58/x6ZNm9C2bVv9yV/NmjURHByM5cuXS4Zk/vTTT3jx4oXFhF5WCggIwKhRozBu3DjExsZKHtNoNHj27JnZCs2zZ88CsC2BnBbdECRrpJXgBIDmzZvD3d0dy5cvl3wXLF++HAqFAu3bt7c5Po1Ggx9++EE/QbSOte99RESEyUUVTp06hU8++QQTJ05EgwYN4O3tbXNcxho3bowNGzbg559/lkz4rbsqpW7/36BBA8ycORM//PADPvroI307432FLdiXrGOpL+nkzp1b/z27ZcsWnD9/HjNmzDC7LN3VLoUQmD17NkJCQvD222/bHBMRZSO7zMRERGSjuXPnCqVSKWrVqiVWr14t9u/fL1avXi3CwsKEUqkUc+fOlbTXTYhZqFAh8emnn4odO3aIOXPmCG9vb/HGG2+IhIQEIYQQCxcuFG+//bZYvny52L17t9i6davo1KmTACC2b98uhEiZBLlFixbC399fTJo0SWzbtk388ccfYvny5aJXr15i06ZN+tctVKiQaNWqlcX1OH/+vAAgChQoIDw8PMTTp08lj9vyWu+++65QKBRi5MiRYseOHeLrr78WISEhwtfXN92JtXW2b9+uj6dAgQImExG3bt1ajB49Wvz0009i3759YuXKlaJw4cKiUKFCIjEx0eJyLU22umzZMgFAHDt2THK/8QSmWq1WhIeHC7VaLSZOnCh27twpZs+eLby9vUXlypVFfHy8zdvh9u3bolChQqJ06dJiwYIFYteuXeL3338X3377rWjVqpW4ceOGvi2smFh79+7dws3NTTRr1kysXbtW7Nu3T2zevFlMnTpVdOrUSd/u9OnTwsPDQ5QtW1asX79ebNmyRYSHh4vQ0NB0J9YWQojvv/9eABDt2rUTv/32m1i9erUoXry4CA0NTXdi7Ro1aogvvvhC/Pzzz2Lfvn1i0aJFIiAgQISFhenbREZGCrVaLSpVqiRWrFgh9uzZI1asWCG6detm8f3R0b2funU4e/ascHV1FQ0bNhRbt24VmzZtEk2bNhUlSpQw2X4NGjQQ5cqVM1nfFy9eiOLFiwt/f3+xYMECsWPHDvHJJ5+IwoULCwBixYoVNr8H5uzatUsAEJ06dRI7duwQ69atE1WrVtXHavi+9OrVS7i5uYn169eLo0ePin/++SfNZe/Zs0e4uLiIDh06iJ07d4o1a9aI0NBQUb58eUnf1Tl8+LAAYDLxvqFevXoJDw8PcejQIXHo0CGxd+9esXLlStG1a1ehUqlE+fLlxc2bN4UQQmg0GhEUFCTKlCljcXkdO3YUarVa3L9/XwghxP3790VwcLCoUKGC2Lx5s9i6dauoX7++8PHxEWfPnpU8d9WqVQKA6Nevn9izZ4/47rvvRK5cuUTTpk1NXmfr1q3ixx9/FEuXLhUAxNtvvy1+/PFH8eOPP4rY2Fh9O11fMpw43RzjyZB1YmNjRUhIiH4CX11fffDggfDy8hK9e/cWq1evFvv27RO///67+PTTT4Wrq6soU6aMJA5dn9BtZ8N/hpPvZ4fJkycLhUIhxo4dK/bu3StmzZol3NzcRN++fSXtVqxYIVQqleSz8cknn4hBgwaJdevWiT179oiVK1eK6tWrm93Gtrz3xtKaWBuAVRPSG0+s/fLlS1GxYkXh4+Mjvv76a7Fz504xYcIEoVarRcuWLfXtkpOTRZ06dYSHh4eYPn262Llzp/jiiy9E8eLFBQAxadKkNF+XfSnz+9JPP/0k5s6dK3bu3Cl+/fVXMXz4cOHi4iI+/PBDk5jGjh0r1q1bp9+XNWzYUHh4eIjdu3dnyTYgoszDJBIROYxDhw6JTp06iXz58gkXFxeRN29e0bFjR8mVY3R0J70nTpwQbdq0Ed7e3sLHx0d07dpVfwU33TI7dOggChUqJNzc3ERAQIBo0KCB2LJli2R5Go1GfPXVV+KNN94Q7u7uwtvbW5QuXVr0799fXLx4Ud8uvSSSEELUrl1bABDdu3c3+7i1r5WQkCCGDx8u8ubNK9zd3UWtWrXEoUOHRKFChaxOIiUnJ+uTGePGjTN5fPbs2aJ27doiMDBQuLq6ioIFC4o+ffqI6OjoNJf7ukkkIVJOJEaNGiUKFSok1Gq1CA4OFh999JF48uSJ5Lm2bIcHDx6IIUOGiCJFigi1Wi38/f1F1apVxbhx48SLFy/07axJIgkhxN9//y06d+4s8ubNK9RqtQgKChJvvvmmWLRokaTdwYMHRa1atYSbm5sICgoSn376qfjuu++sSiIJkZJIKlGihHB1dRUlS5YUS5cuFb169Uo3iTR69GhRrVo1kTt3buHm5iaKFi0qPvnkE/Hw4UPJ8w4dOiRatGgh/Pz8hJubmyhWrJjkinfWJpGEEOLXX3/V9938+fOLTz/9VH/VMWuSSEIIcf36ddGxY0f95/att94SW7duFQDEL7/8Imlr7XtgztKlS0WpUqX022batGliyZIlJusUHR0tmjVrJnx8fPTJ6fTs2LFD1KpVS7i7uwt/f3/Rs2dPyb7HUN++fYVCoRCXL1+2uLxevXpJrsjk4eEhChYsKNq0aSOWLl2qT4wLIcTPP/8sAIiIiAiLy9NdAXH27Nn6+y5duiTat28vfH19haenp2jcuLE4ceKE2eevXbtWVKxYUbi6uoqgoCAxZMgQ8fz5c5N2hQoVsnhVKcNtPG/ePAFAREZGWoxZCMsn/kII/WfKsK8mJCSIr776SrRo0UIULFhQuLm5CXd3d1GmTBkxcuRI8ejRI8kyLMUKQNSpUyfN2LLCN998I0qWLKnf/06YMMEkgW8uAbdkyRJRo0YN4e/vL1xcXETu3LlFeHi4/scRY7a894Ys7eufP38ugPSvrCqEaRJJiJQrfX344YciODhYuLi4iEKFCokxY8aYJGEfP34s3nvvPZErVy7h6ekpmjZtqk/KfvPNN2m+LvtS5velzZs3i0qVKgkvLy/h4eEhqlWrJpYsWWL2Cp4fffSRKFiwoHB1dRWBgYHirbfeSjdBT0TyoBDCzOU8iIiIiGRk6tSp+Oyzz3D9+nWrJwInx9G5c2dcvXrV6iE8JG9bt25F69at8ffff+vn5Mkua9euRffu3XHw4EGrrmJJRES24ZxIREREJCvz588HAJQuXRoajQa7d+/G3Llz8e677zKB5ISEENi7dy9Wr15t71Aok+zZswfvvPNOlieQ1q1bh1u3bqFChQpQKpU4fPgwZs2ahfr16zOBRESURViJRERERLKydOlSzJkzB9HR0UhISEDBggXRrVs3fPbZZ3B1dbV3eEQkE7/99hsmTpyIS5cuITY2FsHBwWjfvj0mT54MX19fe4dHROSUmEQiIiIiIiIiIqJ0Ke0dABERERERERERyR+TSERERERERERElC4mkYiIiIiIiIiIKF28OpuVtFotbt++DR8fHygUCnuHQ0RERERERESUKYQQeP78OUJCQqBUWq43YhLJSrdv30ZoaKi9wyAiIiIiIiIiyhI3btxAgQIFLD7OJJKVfHx8AKRsUF4yNPtpNBrs2LEDzZo1g1qttnc4RFmK/Z1yEvZ3yknY3yknYX+nnMQZ+vuzZ88QGhqqz31YwiSSlXRD2Hx9fZlEsgONRgNPT0/4+vo67IeSyFrs75STsL9TTsL+TjkJ+zvlJM7U39ObvocTaxMRERERERERUbqYRCIiIiIiIiIionQxiUREREREREREROninEhERERERERklhACSUlJSE5Otul5Go0GLi4uiI+Pt/m5RI7GEfq7SqWCi4tLunMepYdJJCIiIiIiIjKRmJiIO3fuIC4uzubnCiEQFBSEGzduvPZJK5HcOUp/9/T0RHBwMFxdXTO8DCaRiIiIiIiISEKr1eLq1atQqVQICQmBq6urTSfHWq0WL168gLe3N5RKzqJCzk3u/V0IgcTERDx48ABXr15FiRIlMhwnk0hEREREREQkkZiYCK1Wi9DQUHh6etr8fK1Wi8TERLi7u8vypJooMzlCf/fw8IBarca1a9f0sWaEPNeOiIiIiIiI7E6uJ8REZLvM+Dxzj0BEREREREREROliEomIiIiIiIiIiNLFJBIRERERERHlSIULF0ZERIS9w8g0GVmf3r17o3379vrbDRs2xNChQ187lujoaCgUCpw6deq1l0XywSQSEREREREROZUbN26gT58++ivLFSpUCB9//DEePXpk79Bkb9OmTfjyyy/tHQbJFJNIRERERERE5DSuXLmCatWq4cKFC1i3bh0uXbqERYsWYdeuXQgLC8Pjx4/tFltycjK0Wq3dXt8a/v7+8PHxsXcYFiUmJto7hByNSSQiIiIiIiJKlxACcYlJVv97mZhsU/u0/gkhrI5z4MCBcHV1xY4dO9CgQQMULFgQLVq0wB9//IFbt25h3LhxkvbPnz9Ht27d4O3tjZCQEMybN0/y+MSJE1GwYEG4ubkhJCQEQ4YM0T+WmJiIkSNHIn/+/PDy8kLNmjWxd+9e/ePLly9Hrly58Ntvv6Fs2bJwc3PD4sWL4e7ujqdPn0peZ8iQIWjQoIH+dlRUFOrXrw8PDw+EhoZiyJAhiI2N1T9+//59tGnTBh4eHihSpAjWrFmT7rZJTk7GsGHDkCtXLgQEBGDkyJEm29Z4ONuCBQtQokQJuLu7I1++fOjUqZP+Ma1WixkzZqB48eJwc3NDwYIFMWXKFMnyrly5gkaNGsHT0xNvvPEGDh06pH/s0aNH6Nq1KwoUKABPT09UqFAB69atM4ln0KBBGDZsGAIDA9G0aVMAwJYtW1CiRAl4eHigUaNGWLFiBRQKhWS7prcNyXYu9g6AiIiIiIiI5O+lJhllP99ul9f+74tweLqmf/r6+PFjbN++HVOmTIGHh4fksaCgIHTv3h0//PADFixYAIVCAQCYNWsWxo4di4kTJ2L79u345JNPULp0aTRt2hQ//fQT5syZg/Xr16NcuXK4e/cu/v77b/0y33vvPURHR2P9+vUICQnB5s2b0bx5c5w+fRolSpQAAMTFxWHatGn4/vvvERAQgAIFCmDChAnYuHEj+vTpAyAlubNhwwZ88cUXAIDTp08jPDwcX375JZYsWYIHDx5g0KBBGDRoEJYtWwYgZS6jGzduYPfu3XB1dcWQIUNw//79NLfP7NmzsXTpUixZsgRly5bF7NmzsXnzZrz55ptm2x8/fhxDhgzBqlWrULt2bTx+/BgHDhzQPz5mzBgsXrwYc+bMQd26dXHnzh2cO3dOsoxx48bhq6++QokSJTBu3Dh07doVly5dgouLC+Lj41G1alWMGjUKvr6++P3339GjRw8ULVoUNWvW1C9jxYoV+Oijj3Dw4EEIIRAdHY1OnTrh448/xgcffIC//voLI0aMkLyuNduQbMckEhERERERETmFixcvQgiBMmXKmH28TJkyePLkCR48eIC8efMCAOrUqYPRo0cDAEqWLImDBw9izpw5aNq0Ka5fv46goCA0adIEarUaBQsWRI0aNQAAly9fxrp163Dz5k2EhIQAAEaMGIHIyEgsW7YMU6dOBQBoNBosWLAAb7zxhj6OLl26YO3atfok0q5du/DkyRO8/fbbAFISW926ddNXBJUoUQJz585FgwYNsHDhQly/fh3btm3D4cOH9cmWJUuWWFxvnYiICIwZMwZvvfUWAGDRokXYvt1yYvD69evw8vJC69at4ePjg0KFCqFy5coAUiq4vvnmG8yfPx+9evUCABQrVgx169aVLGPEiBFo1aoVAGDSpEkoV64cLl26hNKlSyN//vyS5M/gwYMRGRmJH3/8UZJEKl68OGbOnKm/PXr0aJQqVQqzZs0CAJQqVQpnzpyRVEGltw3d3d3T3FZkHpNIRERERESptFqBv28+RZlgX7irVfYOh0hWPNQq/PdFuFVttVotnj97Dh9fHyiVrz+LikcmfR51Q7d0VUgAEBYWJmkTFhamv8LZ22+/jYiICBQtWhTNmzdHy5Yt0aZNG7i4uODkyZMQQqBkyZKS5yckJCAgIEB/29XVFRUrVpS06d69O8LCwnD79m2EhIRgzZo1aNmyJXLnzg0AOHHiBC5duiQZoiaEgFarxdWrV3HhwgW4uLigWrVq+sdLly6NXLlyWVz3mJgY3LlzR7K+umVYGi7YtGlTFCpUSL/+zZs3R4cOHeDp6YmzZ88iISEBjRs3tviaACTrHhwcDCBlKF7p0qWRnJyM6dOn44cffsCtW7eQkJCAhIQEeHl5SZZhuJ4AcP78eVSvXl1yny65p5PeNkwv4UbmMYlERERERJTqf/uvYEbkOTQqlQfL3quR/hOIchCFQmHVkDIgJYmU5KqCp6tLpiSRrFW8eHEoFAr8999/ksvW65w7dw65c+dGYGBgmsvRJZlCQ0Nx/vx57Ny5E3/88QcGDBiAWbNmYd++fdBqtVCpVDhx4gRUKmmSy9vbW/+3h4eHJGkFpCQ8ihUrhvXr1+Ojjz7C5s2bJUOstFot+vfvL5l/SadgwYI4f/68JM6s4uPjg5MnT2Lv3r3YsWMHPv/8c0ycOBHHjh0zGS5oiVqt1v+ti1c3ufjs2bMxZ84cREREoEKFCvDy8sLQoUNNJs82TioJIUzW3TgRlt42pIxhEomIiIiIKNXyqKsAgD3nH9g5EiLKiICAADRt2hQLFizAJ598Ikl03L17F2vWrEHPnj0lCYjDhw9LlnH48GGULl1af9vDwwNt27ZF27ZtMXDgQJQuXRqnT59G5cqVkZycjPv376NevXo2x9qtWzesWbMGBQoUgFKp1A/5AoAqVarg33//RfHixc0+t0yZMkhKSsLx48f1FTjnz583mazbkJ+fH4KDg3H48GHUr18fAJCUlIQTJ06gSpUqFp/n4uKCJk2aoEmTJpgwYQJy5cqF3bt3o2XLlvDw8MCuXbvwwQcf2Lz+AHDgwAG0a9cO7777LoCUxM/FixfTrRIqXbo0tm7dKrnv+PHjktvpbUPKGF6djYiIiIgolQJZ+6s+EWW9+fPnIyEhAeHh4di/fz9u3LiByMhING3aFPnz5ze5etjBgwcxc+ZMXLhwAd9++y1+/PFHfPzxxwBSrq62ZMkSnDlzBleuXMGqVavg4eGBQoUKoWTJkujevTt69uyJTZs24erVqzh27BhmzJhhkuAwp3v37jh58iSmTJmCTp06SeboGTVqFA4dOoSBAwfi1KlTuHjxIrZs2YLBgwcDSJkDqHnz5ujbty+OHDmCEydO4IMPPki3Oujjjz/G9OnTsXnzZpw7dw4DBgxIM/H022+/Ye7cuTh16hSuXbuGlStXQqvVolSpUnB3d8eoUaMwcuRIrFy5EpcvX8bhw4exZMmSdNddp3jx4ti5cyeioqJw9uxZ9O/fH3fv3k33ef3798e5c+cwatQoXLhwARs2bMDy5csBvKp2Sm8bUsYwiURERERElCqLR4YQUTYoUaIEjh8/jmLFiqFLly4oVqwY+vXrh0aNGuHQoUPw9/eXtB8+fDhOnDiBypUr48svv8Ts2bMRHp4y91OuXLmwePFi1KlTBxUrVsSuXbvw66+/6uc8WrZsGXr27Inhw4ejVKlSaNu2LY4cOYLQ0FCr4qxevTr++ecfdO/eXfJYxYoVsW/fPly8eBH16tVD5cqVMX78eP2cQrrXDg0NRYMGDdCxY0f069dPP1m4JcOHD0fPnj3Ru3dvhIWFwcfHBx06dLDYPleuXNi0aRPefPNNlClTBosWLcK6detQrlw5AMD48eMxfPhwfP755yhTpgy6dOmS7hXiDI0fPx5VqlRBeHg4GjZsiKCgILPDEI0VKVIEP/30EzZt2oSKFSti4cKFGDduHADAzc0NgHXbkGynEJZm0CKJZ8+ewc/PDzExMfD19bV3ODmORqPB1q1b0bJlS8mYWiJnxP5OOQn7O8lN2LRduBMTDwCInt4qnda2YX8nRxIfH4+rV6+iSJEiGbqKlVarxbNnz+Dr65utcyJRzjVlyhQsWrQIN27cyPbXdpT+ntbn2tqcB+dEIiIiIiJKxUIkIiLHsGDBAlSvXh0BAQE4ePAgZs2ahUGDBtk7LKfHJBIRERERUaqsvtIRERFljosXL2Ly5Ml4/PgxChYsiOHDh2PMmDH2DsvpMYlERERERERERA5lzpw5mDNnjr3DyHHkO1iPiIiIiIiIiIhkg0kkIiIiIqJUHM1GRERkGZNIRERERESpmEQiIiKyjEkkIiIiIiIiIiJKF5NIRERERESpFGApEhERkSVMIhERERERpeJwNiIiIsuYRCIiIiIiIiKywd69e6FQKPD06VOrn1O4cGFERETobysUCvz888+vFUfv3r3Rvn17m56zfPly5MqVS3974sSJqFSp0mvFoWO8jnKXkfcxp2MSiYiIiIgoFQuRiBxf7969oVAo8OGHH5o8NmDAACgUCvTu3Tv7A5OpESNGYNeuXfYOI8coXLgwFAoFDh8+LLl/6NChaNiwof52bGwsRo0ahaJFi8Ld3R158uRBw4YN8dtvv+nbNGzYEAqFwuSfub6fWVyybMlERERERA5GwfFsRE4hNDQU69evx5w5c+Dh4QEAiI+Px7p161CwYEE7Rycv3t7e8Pb2tncYFmk0GqjVanuHkanc3d0xatQo7Nu3z2KbDz/8EEePHsX8+fNRtmxZPHr0CFFRUXj06JGkXd++ffHFF19I7vP09MySuAFWIhEREREREZE1hAASY63/p4mzrX1a/4SwKdQqVaqgYMGC2LRpk/6+TZs2ITQ0FJUrV5a0TUhIwJAhQ5A3b164u7ujbt26OHbsmKTN1q1bUbJkSXh4eKBRo0aIjo42ec2oqCjUr18fHh4eCA0NxZAhQxAbG2t1zLdu3UKXLl2QO3duBAQEoF27dpLXSU5OxrBhw5ArVy4EBARg5MiREFZsl+XLl6NgwYLw9PREhw4dTJIQxsPZ9u7dixo1asDLywu5cuVCnTp1cO3aNf3jW7ZsQbVq1eDu7o7AwEB07NhRsry4uDi8//778PHxQcGCBfHdd99JHh81ahRKliwJT09PFC1aFOPHj4dGozGJZ+nSpShatCjc3NwghMC5c+dQt25duLu7o2zZsvjjjz9MhgSmtw2tsXHjRpQrVw5ubm4oXLgwZs+eLXn8zp07aNWqFTw8PFCkSBGsXbsWRYsWxcKFC61+jf79++Pw4cPYunWrxTa//vorxo4di5YtW6Jw4cKoWrUqBg8ejF69eknaeXp6IigoSPLP19fXpnW2BSuRiIiIiIhSsQ6JKA2aOGBqiFVNlQByZeZrj70NuHrZ9JT33nsPy5YtQ/fu3QEAS5cuxfvvv4+9e/dK2o0cORIbN27EihUrUKhQIcycORPh4eG4dOkS/P39cePGDXTs2BEffvghPvroIxw/fhzDhw+XLOP06dMIDw/Hl19+iSVLluDBgwcYNGgQBg0ahGXLlqUba1xcHBo1aoR69eph//79cHFxweTJk9G8eXP8888/cHV1xezZs7F06VIsWbIEZcuWxezZs7F582a8+eabFpd75MgRvP/++5g6dSo6duyIyMhITJgwwWL7pKQktG/fHn379sW6deuQmJiIo0eP6qs0f//9d3Ts2BHjxo3DqlWrkJiYiN9//12yjNmzZ+PLL7/E2LFj8dNPP+Gjjz5C/fr1Ubp0aQCAj48Pli9fjpCQEJw+fRp9+/aFj48PRo4cqV/GpUuXsGHDBmzcuBEqlQparRbt27dHwYIFceTIETx//tzkPbBmG6bnxIkT6Ny5MyZOnIguXbogKioKAwYMQEBAgH4IZM+ePfHw4UPs3bsXarUaw4YNw/3799NdtqHChQvjww8/xJgxY9C8eXMolab1PUFBQdi6dSs6duwIHx8fm5aflViJRERERESkwywSkdPo0aMH/vzzT0RHR+PatWs4ePAg3n33XUmb2NhYLFy4ELNmzUKLFi1QtmxZLF68GB4eHliyZAkAYOHChShatCjmzJmDUqVKoXv37iZzKs2aNQvdunXD0KFDUaJECdSuXRtz587FypUrER8fn26s69evh1KpxPfff48KFSqgTJkyWLZsGa5fv65PekVERGDMmDF46623UKZMGSxatAh+fn5pLvebb75BeHg4Ro8ejZIlS2LIkCEIDw+32P7Zs2eIiYlB69atUaxYMZQpUwa9evXSDwGcMmUK3nnnHUyaNAllypTBG2+8gbFjx0qW0bJlSwwYMADFixfHqFGjEBgYKEncffbZZ6hduzYKFy6MNm3aYPjw4diwYYNkGYmJiVi1ahUqV66MihUrYufOnbh8+TJWrlyJN954A3Xr1sWUKVNs3obp+frrr9G4cWOMHz8eJUuWRO/evTFo0CDMmjULAHDu3Dn88ccfWLx4MWrWrIkqVarg+++/x8uXL61avqHPPvsMV69exZo1a8w+/t133yEqKgoBAQGoXr06PvnkExw8eNCk3YIFC/RDEnX/VqxYYXM81mIlEhERERFRKuaQiNKg9kypCLKCVqvFs+fP4evjY7bKIkOvbaPAwEC0atUKK1asgBACrVq1QmBgoKTN5cuXodFoUKdOnVcvpVajRo0aOHv2LADg7NmzqFWrlmTOtLCwMMlyTpw4gUuXLkkSAkIIaLVaXL16FWXKlEkzVt3zjStO4uPjcfnyZcTExODOnTuS13VxcUG1atXSHNJ29uxZdOjQQXJfWFgYIiMjzbb39/dH7969ER4ejqZNm6JJkybo3LkzgoODAQCnTp1C375901yXihUr6v9WKBQICgqSVOr89NNPiIiIwKVLl/DixQskJSWZDL8qVKgQ8uTJo799/vx5hIaGIigoSH9fjRo1JM9Jbxta4+zZs2jXrp3kvjp16iAiIgLJyck4f/48XFxcUKVKFf3jxYsXR+7cua1avqE8efJgxIgR+Pzzz9GlSxeTx+vXr48rV67g8OHDOHjwIHbv3o1vvvkGkyZNwvjx4/XtunfvjnHjxkmemzdvXpvjsRaTSEREREREqTixNlEaFArrh5RptYA6OaV9ZiSRMuj999/HoEGDAADffvutyeO6BIzxZ18Iob/PmnmHtFot+vfvjyFDhpg8Zs1E3lqtFlWrVjVblWKYTLGVNbEbW7ZsGYYMGYLIyEj88MMP+Oyzz7Bz507UqlVLP0l5WownwVYoFNBqtQCAw4cP6yuZwsPD4efnh/Xr15vMO+TlJe1nhu+HJZmxDc29juE2tLQ9M7KdAWDYsGFYsGABFixYYPZxtVqNevXqoV69ehg9ejQmT56ML774AqNGjdIPz/Pz80Px4sUz9PoZweFsRERERESpmEIici7NmzdHYmIiEhMTzQ7jKl68OFxdXfHnn3/q79NoNDh+/Li+eqhs2bIml2M3vl2lShX8+++/KF68uMk/a+biqVKlCi5evIi8efOaPN/Pzw9+fn4IDg6WvG5SUhJOnDiR5nKtid2cypUrY8yYMYiKikL58uWxdu1aAClVRrt27Ur3+ZYcPHgQhQoVwrhx41CtWjWUKFFCMmm3JaVLl8b169dx7949/X3Gk5+ntw2tUbZsWUlfAFImTC9ZsiRUKhVKly6NpKQk/PXXX/rHL126hKdPn1q1fGPe3t4YP348pkyZgmfPnlkVX1JSklVDJLMKk0hERERERETklFQqFc6ePYuzZ89CpVKZPO7l5YWPPvoIn376KSIjI/Hff/+hb9++iIuLQ58+fQCkXGr98uXLGDZsGM6fP4+1a9di+fLlkuWMGjUKhw4dwsCBA3Hq1ClcvHgRW7ZsweDBg62Ks3v37ggMDES7du1w4MABXL16Ffv27cPHH3+MmzdvAgA+/vhjTJ8+HZs3b8a5c+cwYMCAdJMXuoqimTNn4sKFC5g/f77FoWwAcPXqVYwZMwaHDh3CtWvXsGPHDly4cEGfUJswYQLWrVuHCRMm4OzZszh9+jRmzpxp1ToCKUm769evY/369bh8+TLmzp2LzZs3p/u8pk2bolixYujVqxf++ecfHDx4UD+ES1c5ZM02TM/w4cOxa9cufPnll7hw4QJWrFiB+fPnY8SIEQBSkllNmjRBv379cPToUfz111/o168fPDw8MlzJ2q9fP/j5+WHdunWS+xs2bIj//e9/OHHiBKKjo7F161aMHTsWjRo1kgz/i4uLw927dyX/njx5kqFYrMEkEhERERFRKo5mI3I+vr6+aV7yfPr06XjrrbfQo0cPVKlSBZcuXcL27dv189wULFgQGzduxK+//oo33ngDixYtwtSpUyXLqFixIvbt24eLFy+iXr16qFy5MsaPH6+fSyg9np6e2L9/PwoWLIiOHTuiTJkyeP/99/Hy5Ut97MOHD0fPnj3Ru3dvhIWFwcfHx2S+I2O1atXC999/j3nz5qFSpUrYsWMHPvvsszTjOHfuHN566y2ULFkS/fr1w6BBg9C/f38AKYmNH3/8EVu2bEGlSpXw5ptv4siRI1atIwC0a9cOn3zyCQYNGoRKlSohKipKMr+PJSqVCj///DNevHiB6tWr44MPPtCvh7u7uz729LZheqpUqYINGzZg/fr1KF++PD7//HN88cUXkonUV65ciXz58qF+/fro0KGD/upybm5uVm8HQ2q1Gl9++aVJdVF4eDhWrFiBZs2aoUyZMhg8eDDCw8NNJiFfvHgxgoODJf+6du2aoVisoRAZHbyXwzx79gx+fn6IiYmxugNS5tFoNNi6dStatmxpMsaWyNmwv1NOwv5OchM+Zz/O33sOAIie3ipTl83+To4kPj4eV69eRZEiRfQn6bbQarV49uwZfH19M2dibSIjBw8eRN26dXHp0iUUK1bMbnHcvHkToaGh+Pnnn9GmTRtZ9/e0PtfW5jw4sTYRERERERERydrmzZvh7e2NEiVK4NKlS/j4449Rp06dbE8g7d69Gy9evECFChVw584djBw5EoULF0bt2rWzNQ57kW+KjIiIiIgom3E4GxGRPD1//hwDBgxA6dKl0bt3b1SvXh2//PJLtseh0WgwduxYlCtXDh06dECePHmwe/duqNVqrFmzBt7e3mb/lStXLttjzQqsRCIiIiIiIiIiWevZsyd69uxp7zAQHh5ucqU/3fDNtm3bIiwszOzznGUYM5NIRERERERERESvycfHB35+fvYOI0txOBsRERERUaqMXqKZiIgoJ2ASiYiIiIgoFVNIREREljGJRERERERERERE6WISiYiIiIgoFUezERERWcYkEhERERFRKiaRiIiILGMSiYiIiIiIiAjA3r17oVAo8PTp0zTbFS5cGBEREZn2ug0bNsTQoUNtes7EiRNRqVIl/e3evXujffv2mRKPQqHAzz//nCnLyk49evTA1KlT7R2GU5NNEmnatGlQKBSSD44QAhMnTkRISAg8PDzQsGFD/Pvvv5LnJSQkYPDgwQgMDISXlxfatm2LmzdvSto8efIEPXr0gJ+fH/z8/NCjR490dwpERERElPMoOLU2kVO4e/cuBg8ejKJFi8LNzQ2hoaFo06YNdu3alebzateujTt37ugv0758+XLkypXLpN2xY8fQr1+/rAg9w7755hssX77c3mHYzT///IPff/8dgwcP1t/Xu3dvKBQKyb9atWpJniennEJERARatGiBpk2bom/fvhBCSB7v3bs3Ro8enemvawtZJJGOHTuG7777DhUrVpTcP3PmTHz99deYP38+jh07hqCgIDRt2hTPnz/Xtxk6dCg2b96M9evX488//8SLFy/QunVrJCcn69t069YNp06dQmRkJCIjI3Hq1Cn06NEj29aPiIiIiBwDh7MROb7o6GhUrVoVu3fvxsyZM3H69GlERkaiUaNGGDhwoMXnaTQauLq6IigoCIp0dgZ58uSBp6dnZof+Wvz8/MwmvOQiMTExS5c/f/58vP322/Dx8ZHc37x5c9y5c0f/b+vWrZLH5ZRTGDp0KPLnz4/Lly9j7dq1ktyHVqvF77//jnbt2mX669rC7kmkFy9eoHv37li8eDFy586tv18IgYiICIwbNw4dO3ZE+fLlsWLFCsTFxWHt2rUAgJiYGCxZsgSzZ89GkyZNULlyZaxevRqnT5/GH3/8AQA4e/YsIiMj8f333yMsLAxhYWFYvHgxfvvtN5w/f94u60xEREREROSoYmNjERsbK6mSSExMRGxsLBISEsy21Wq1+vs0Gg1iY2MRHx9vVVtbDRgwAAqFAkePHkWnTp1QsmRJlCtXDsOGDcPhw4f17RQKBRYtWoR27drBy8sLkydPlgxn27t3L9577z3ExMToq1gmTpwIwHQ429OnT9GvXz/ky5cP7u7uKF++PH777TcAwKNHj9C1a1cUKFAAnp6eqFChAtatW2fzek2fPh358uWDj48P+vTpY7L9jIez/fTTT6hQoQI8PDwQEBCAJk2aIDY2Vv/40qVLUa5cObi5uSE4OBiDBg2SLO/hw4fo0KEDPD09UaJECWzZskX/WHJyMvr06YMiRYrAw8MDpUqVwjfffGM2nmnTpiEkJAQlS5YEAERFRaFSpUpwd3dHtWrV8PPPP0OhUODUqVP65/73339o2bIlvL29kS9fPvTo0QMPHz60uG20Wi1+/PFHtG3b1uQxNzc3BAUF6f/5+/vrH8vKnELhwoUxefJk9OzZE97e3ihUqBB++eUXPHjwAO3atYO3tzcqVKiA48ePS573/fff46+//sKnn34qSYgdPHgQSqUSNWvWRGJiIgYNGoTg4GC4u7ujcOHCmDZtmsVYMpNLtrxKGgYOHIhWrVqhSZMmmDx5sv7+q1ev4u7du2jWrJn+Pjc3NzRo0ABRUVHo378/Tpw4AY1GI2kTEhKC8uXLIyoqCuHh4Th06BD8/PxQs2ZNfZtatWrBz88PUVFRKFWqlNm4EhISJDvAZ8+eAUjZiWVkR0avR7fNue0pJ2B/p5yE/Z1kx+CkOLP7Jfs7ORKNRgMhBLRarSSpAwDe3t4AUoaM5cmTB0DKKJLx48ejT58++O677/QJpqCgIMTFxeHy5csoXLgwgJSKkWHDhqFr165YvXq1frmFCxfGw4cP8c8//6BcuXIAUhIdffv2tTrux48fIzIyEpMnT4aHh4dJ7L6+vpL7JkyYgClTpmD27NlQqVS4evUqgJSkRK1atTBnzhxMmDABZ8+e1a+77vmG26dFixZ4/vw5Vq5ciWLFiuG///6DQqGAVqtFXFwcqlSpgk8//RS+vr7YunUrevTogcKFC0vOU3XLM2fDhg2YMGEC5s2bh3r16mH16tWYN28eihYtKolHt4w7d+6ga9eumDFjBtq3b4/nz5/jzz//RHJyMrRaLRYuXIgRI0Zg2rRpaN68OWJiYhAVFSV5/UmTJmH69OmYMWMG5s+fj+7du+Pq1avw9/dHUlIS8ufPj/Xr1yMwMBBRUVH48MMPkS9fPnTu3Fkfz65du+Dj44Pt27dDCIGYmBi0adMGLVq0wOrVq3Ht2jUMGzZMv811sTdo0AAffPABvvrqK7x8+RKjR49G586d9YkdY6dOncLTp09RpUoVyToIIbB3717kzZsXuXLlQv369TF58mTkzZsXQMqoKI1GgyZNmuifFxQUhPLly+PgwYNo2rQpDh48CD8/P1SvXl3fpkaNGvDz88Off/6JEiVK6Pu78Xs4Z84cTJ48GePGjUNERAR69OiB2rVr47333sOMGTMwevRo9OzZE6dPn4ZCoUB8fDzc3d3h6uqKFStWoG3btvp5r3755Re0bt0aQMrQxS1btmD9+vUoWLAgbty4gRs3bljsPzparRZCCGg0GqhUKslj1n432TWJtH79epw8eRLHjh0zeezu3bsAgHz58knuz5cvH65du6Zv4+rqKqlg0rXRPf/u3bv6DmIob968+jbmTJs2DZMmTTK5f8eOHbIrW8xJdu7cae8QiLIN+zvlJOzvJBcxMSogdV4k4yEPmYX9nRyBi4sLgoKC8OLFC4vDkJ4/fw43NzcA0FfFaDQa/Q/whl68eKG/31Jb3Ym4cVtzy7Pk77//hhACBQsWtOp5b731Fjp16qS/rZuD9/nz51AqlXB1dQUA/TmgVqvFs2fPoNVq9bHt3r0bR48exZEjR1C8eHEAQP369QGkFCP4+PhIEmE9e/bEb7/9hrVr16JMmTIAgKSkJCQmJlqM+euvv0b37t31CZpPP/0UO3bskGwfjUaDpKQkPHv2DJcuXUJSUhKaNGkCf39/+Pv7o1ChQvr4p0yZgoEDB6J3794AUhInpUqVkrz+O++8g1atWgEARo0ahfnz52Pv3r1o0qQJAOiTPwDQpk0b7Nu3D+vWrUPz5s318Xh6emL27Nn67bhkyRIAwFdffQV3d3cUKFAAAwcOxMcff4zY2Fg8e/YM33zzDSpWrIhRo0bplx8REYHy5cvj5MmT+m1s6OzZs1CpVHB3d5esQ4MGDdCyZUuEhobi2rVrmDp1Kho1aoS9e/fCzc0NV69ehaurK1QqleR5AQEBuH79Op49e4Zr164hMDDQ5L0JDAzEtWvXJPcbDz9r0qQJunbtCiBlqNqiRYtQsWJFhIeHA0gpqmnWrBkuXbqEfPnyoWvXrnj27BkeP36M+vXrS/rxL7/8gi+++EL//hYpUgQVK1aEQqFA7ty5UbFixXT7fGJiIl6+fIn9+/cjKSlJ8lhcXFyaz9WxWxLpxo0b+Pjjj7Fjxw64u7tbbGc8FlUIke74VOM25tqnt5wxY8ZIPhTPnj1DaGgomjVrBl9f3zRfnzKfRqPBzp070bRpU6jVanuHQ5Sl2N8pJ2F/J7lZeuMIrr2IAQC0bNkyU5fN/k6OJD4+Hjdu3IC3t7fJ+ZruRNXT01N/TvXZZ59h1KhRcHFxgZubG4QQeP78Oe7cuQOFQgEPDw8olSmzqQwbNgyDBg3Sn/Tr6KqADNt++OGHNn1edMkeT09Pq87bwsLCJO10z/fx8YGvry/c3d2hUChMlqVUKuHu7g5fX19cvHgRBQoUQJUqVcy+RnJyMmbMmIENGzbg1q1b+lEvfn5++uW6uLjA1dXVYswXL17EgAEDJI/XqVMHe/fu1d+nVqvh4uICX19f1K5dG40bN0bdunXRrFkzNG3aFJ06dULu3Llx//593LlzBy1atEhzG1WrVk3/uK+vL3x8fPDixQv9fYsWLcLSpUtx7do1vHz5EomJiahUqZIkngoVKiAwMFC/zOvXr+ONN96QFHroEm5eXl7w9fXFmTNncODAARQoUMAkpnv37lnczm5ubvoJ0XV0STIgZURS/fr1UaRIERw4cAAdO3aEh4eHfv0MKZVKuLm56fuASqUyaaPr176+vvr+7uPjo/9MKJVKVK1aVf883dA0w/uKFi0KAHj58iV8fX3x+++/m123s2fP4vbt22jbti08PDzQt29fhIeHo2bNmggPD0erVq0kI7QsiY+Ph4eHB+rXr2/xc50euyWRTpw4gfv376Nq1ar6+5KTk7F//37Mnz9fP7bw7t27CA4O1re5f/++vjopKCgIiYmJePLkiaQa6f79+6hdu7a+zb1790xe/8GDByZVTobc3Nz0WXVDarWaX/p2xO1POQn7O+Uk7O8kF4Y/MmZVn2R/J0eQnJwMhUIBpVKpT+joGE9cDADu7u6Sk1LdsBpvb2+T51s61zK3XHPt0lKqVCkoFAqcP3/e5HXN8fHxkbTT/a1bb8PbxnTbR5d4svR6X331FSIiIhAREYEKFSrAy8sLQ4cOhUajkTxHtzxLjN8Lw2SF7rbhe7Zz505ERUVhx44d+PbbbzF+/HgcOXJEn9Qx994acnNzs/h6GzZswPDhwzF79myEhYXBx8cHs2bNwpEjRyTxmHv/jdfTcLlKpRJCCLRp0wYzZswwiSk4ONhszHnz5kVcXBySkpL0VU/m5M+fH4UKFcLly5ehVCoREhKCxMRExMTESHIKDx48QJ06daBUKhEcHIx79+6ZvO6DBw8QFBQEpVKp7+/G6+bq6mq2/+vuMxxSltZ78dtvv6Fp06bw8vICkJLgu3r1KrZt24Y//vgD77zzDpo0aYKffvrJ4jJ0r6FQKMx+D1n7vWS3ibUbN26M06dP49SpU/p/1apVQ/fu3XHq1CkULVoUQUFBknLfxMRE7Nu3T58gqlq1KtRqtaTNnTt3cObMGX2bsLAwxMTE4OjRo/o2R44cQUxMjL4NERERERHAq7MROTp/f3+Eh4fj22+/lUwirWPrZdldXV0lV+kyp2LFirh58yYuXLhg9vEDBw6gXbt2ePfdd/HGG2+gaNGiuHjxok1xlClTRjIpOACT28YUCgXq1KmDSZMm4a+//oKrqys2b94MHx8fFC5cGLt27bIpBkMHDhxA7dq1MWDAAFSuXBnFixfH5cuX031e6dKl8c8//0jmHzaeWLpKlSr4999/UbhwYRQvXlzyT5dEMaabN+i///5L8/UfPXqEGzdu6AtVHCWn8Msvv5hMGu7r64suXbpg8eLF+OGHH7Bx40Y8fvw4y2OxWxLJx8cH5cuXl/zz8vJCQEAAypcvD4VCgaFDh2Lq1KnYvHkzzpw5g969e8PT0xPdunUDkHIJwz59+mD48OHYtWsX/vrrL7z77ruoUKGCfpxmmTJl0Lx5c/Tt2xeHDx/G4cOH0bdvX7Ru3dripNpERERElDMxh0Tk+BYsWIDk5GTUqFEDGzduxMWLF3H27FnMnTsXYWFhNi2rcOHCePHiBXbt2oWHDx+anTemQYMGqF+/Pt566y3s3LlTXyESGRkJAChevLi+Kujs2bPo379/mvPzmvPxxx9j6dKlWLp0KS5cuIAJEybo528y58iRI5g6dSqOHz+O69evY9OmTXjw4IF+DqaJEydi9uzZmDt3Li5evIiTJ09i3rx5VsdTvHhxHD9+HNu3b8eFCxcwfvx4s3MdG+vWrRu0Wi369euHs2fPYvv27fjqq68AvKpIGjhwIB4/foyuXbvi6NGjuHLlCnbs2IH333/fYkIvT548qFKlCv7880/9fS9evMCIESNw6NAhREdHY+/evWjTpg0CAwPRoUMHAI6RU7h//z6OHTumn1QbSJmwe/369Th37hwuXLiAH3/8EUFBQciVK1eWx2O3JJI1Ro4ciaFDh2LAgAGoVq0abt26hR07dkjKHOfMmYP27dujc+fOqFOnDjw9PfHrr79KysLWrFmDChUqoFmzZmjWrBkqVqyIVatW2WOViIiIiIiIKAsVKVIEJ0+eRKNGjTB8+HCUL18eTZs2xa5du7Bw4UKbllW7dm18+OGH6NKlC/LkyYOZM2eabbdx40ZUr14dXbt2RdmyZTFy5Eh9wmP8+PGoUqUKwsPD0bBhQwQFBaF9+/Y2xdGlSxd8/vnnGDVqFKpWrYpr167ho48+stje19cX+/fvR8uWLVGyZEl89tlnmD17Nlq0aAEA6NWrFyIiIrBgwQKUK1cOrVu3tqk66sMPP0THjh3RpUsX1KxZE48ePcKAAQPSfZ6vry9+/fVXnDp1CpUqVcK4cePw+eefA4B+OGRISAgOHjyI5ORkhIeHo3z58vj444/h5+eX5pCvfv36Yc2aNfrbKpUKp0+fRrt27VCyZEn06tULJUuWxKFDhxwqp/Drr7+iZs2aknmkvL29MWPGDFSrVg3Vq1dHdHQ0tm7datUQztelEMLgOqZk0bNnz+Dn54eYmBhOrG0HGo0GW7duRcuWLTmHADk99nfKSdjfSW46LYzC8WtPAADR01tl6rLZ38mRxMfH4+rVqyhSpEiaF0KyRHcVMF9f32w5sSXHtWbNGrz33nuIiYnRT3SdEfHx8ShVqhTWr19vc8XZ68rK/t62bVvUrVsXI0eOfO1lpfW5tjbnYbeJtYmIiIiI5IZzIhERZa2VK1eiaNGiyJ8/P/7++2+MGjUKnTt3fq0EEpBSybRy5Uo8fPgwkyKVh7p166Jr1672DkOPSSQiIiIiIiIiyhZ3797F559/rr8S+9tvv40pU6ZkyrIbNGiQKcuRk8yoQMpMTCIREREREaVScGptIqIsNXLkSNklRsh6HJxKRERERKTDHBIREZFFTCIRERERERGRWbwOE5HzyIzPM5NIRERERESpWIhElEJ3BcG4uDg7R0JEmUX3eX6dK4RyTiQiIiIiolS8OhtRCpVKhVy5cuH+/fsAAE9PTyhs+IBotVokJiYiPj4+0y95TiQ3cu/vQgjExcXh/v37yJUrF1QqVYaXxSQSERERERERmQgKCgIAfSLJFkIIvHz5Eh4eHjYln4gckaP091y5cuk/1xnFJBIRERERUSpenY3oFYVCgeDgYOTNmxcajcam52o0Guzfvx/169d/raEzRI7AEfq7Wq1+rQokHSaRiIiIiIhSyfgHZCK7UalUNp98qlQqJCUlwd3dXbYn1USZJSf1d/kN1iMiIiIiIiIiItlhEomIiIiIKBUrkYiIiCxjEomIiIiIKBXnRCIiIrKMSSQiIiIiIiIiIkoXk0hERERERKk4nI2IiMgyXp2NiIiIiHK883ef48bjOHuHQUREJGtMIhERERFRjhcesR8AkMvTuS/NTERE9Do4nI2IiIiIKNXTOI29QyAiIpItJpGIiIiIiIiIiChdTCIREREREREREVG6mEQiIiIiIiIiIqJ0MYlERERERERERETpYhKJiIiIiMiJPI/X4MNVJ7D19B17h0JERE6GSSQiIiIiIify7Z7LiPz3LgasOWnvUIiIyMkwiURERERE5EQevkiwdwhEROSkmEQiIiIiInIiCnsHQERETotJJCIiIiIiIiIiSheTSERERERETkTBUiQiIsoiTCIREREREREREVG6mEQiIiIiInIiCs6KREREWYRJJCIiIiIiIiIiSheTSERERESUowkh7B0CERGRQ2ASiYiIiIhyNC1zSERERFZhEomIiIiIcjStk1Ui8epsRESUVZhEIiIiIqIczclySERERFmGSSQiIiIiytEEnCuLxEokIiLKKkwiERER5XSxj4B7/9o7CiK7YSUSERGRdZhEIiIiyum+KgEsrA3cPWPvSIiIiIhIxphEIiIiyulEcsr/r+yxbxxElEk4no2IiLIGk0hERESUIinB3hEQ2QWHsxEREVmHSSQiIiJKwSQS5VDONrE2ERFRVmESiYiIiFIkJ9o7AiIiIiKSMSaRiIiIKBWrMShncrbhbApOiURERFmESSQiIiJKIbT2joDILizlkISzZZfs7dlt4PBCIP6ZvSMhIqIMcrF3AERERCQTPGGmHMpSskgIx6zqkW3IS5sDT68Bt04Cby22dzRERJQBrEQiIiKiFKxEIpJgWjWTPb2W8v+L2+0bBxERZRiTSERERJSCSSTKoZxtOJvsq6ccc7MSERGYRCIiIiIdJpEoh7KUK2KuI4twX0NE5LCYRCIiIqIUDlp1QZRVHPUjoZDvrEipHHTDEhERk0hERESUitUBlFNZrERisiNLOGp2joiImEQiIiKiVEwiUQ5lKVnEXEcW4b6GiMhhMYlEREREKXhiRzkUk0XZjPsaIiKHxSQSERERpeCJHZGEoyaXZH91Ng4TJCJyWEwiERERUQpHPWMmek2Wej7nRMoiTFgTETksJpGIiIhyMsPEEU/sKIcSFhKojppXlX8hkoNuWCIiYhKJiIgoRzNMHDGJRCTBVEdW4ZYlInJUTCIRERHlZEwiEVkezuagFTMKuU+KxH0NEZHDYhKJiIgoJ5MkkZLtFweRHVnKFTlmComIiCjrMIlERESUkxkmkZIS7BcHkR1ZmkDbQQuRiIiIsgyTSERERDmZYRIpPsZ+cRDJEZNIREREEkwiERER5WSGSaTkRPvFQWRPFoezMYtERERkiEkkIiKinEwyJxJPmClnsjyxdraGQUREJHtMIhEREeVkvDobkUVaB80iyf3ibERE5LiYRCIiIsrJJCfJjnnCTPS6eHU2IiIi6zCJRERElJOxEonI6a7OpgBLkYiIKGswiURERJSTMYlElEYlkoNmkYiIiLIIk0hEREQ5mWHiSJtsvziI5MhBc0icE4mIiLIKk0hEREQ5GZNIRJavzpatURAREckfk0hEREQ5mSSJlGS/OIjsSFgYz+a4cyIRERFlDSaRiIiIcjLJnEisRCIyxDmRiIiIpJhEIiIiyslYiURkeWJt5pCIiIgkmEQiIiLKyQzmQUpITLRjIETywxwSERGRFJNIREREOZlBqcXLBI0dAyGyH8uVSI6ZRuLV2YiIKKswiURERJSTGQxnU3JOJCIJB80hERERZRkmkYiIiHIywyQSmESinMnZJtBWsBSJiIiyCJNIREREORkrkYg4sTYREZGVmEQiIiLKySSVSNo0GhLlPI5aocQ6JCIiyipMIhEREeVkBtVHrESinMpSqoiVSERERFJMIhEREeVkrEQisngVNofNIbEUiYiIsgiTSERERDkZk0hEaVQiOWwaiYiIKEswiURERJSTGZwkKyE4fofIAD8NREREUkwiERER5WRCm/ZtohyAV2cjIiKyDpNIREREOZnWaDJtJpEoR7I4oC1bo8gsCgeaFOnk9Sf4YMUxXH0Ya+9QiIjICi72DoCIiIjsiJVIRBaxEinrdVwQBQC49igOO4c1sHM0RESUHrtWIi1cuBAVK1aEr68vfH19ERYWhm3btukfF0Jg4sSJCAkJgYeHBxo2bIh///1XsoyEhAQMHjwYgYGB8PLyQtu2bXHz5k1JmydPnqBHjx7w8/ODn58fevTogadPn2bHKhIREcmbcdLIuDKJKAewOJwte8PINArHKUTSu/Ekzt4hEBGRFeyaRCpQoACmT5+O48eP4/jx43jzzTfRrl07faJo5syZ+PrrrzF//nwcO3YMQUFBaNq0KZ4/f65fxtChQ7F582asX78ef/75J168eIHWrVsjOfnVQXC3bt1w6tQpREZGIjIyEqdOnUKPHj2yfX2JiIhkh5VIRBaTRVqWImUbRxqCR0SUk9l1OFubNm0kt6dMmYKFCxfi8OHDKFu2LCIiIjBu3Dh07NgRALBixQrky5cPa9euRf/+/RETE4MlS5Zg1apVaNKkCQBg9erVCA0NxR9//IHw8HCcPXsWkZGROHz4MGrWrAkAWLx4McLCwnD+/HmUKlUqe1eaiIhITkySSKxEopzH2SbWdsR0jHDYui8iopxFNnMiJScn48cff0RsbCzCwsJw9epV3L17F82aNdO3cXNzQ4MGDRAVFYX+/fvjxIkT0Gg0kjYhISEoX748oqKiEB4ejkOHDsHPz0+fQAKAWrVqwc/PD1FRURaTSAkJCUhISNDffvbsGQBAo9FAo9Fk9upTOnTbnNuecgL2d8pOiiSN5GBAk5gIqLKv77G/kxwkJZnvfxpNUqb2zezq71rtq+SwnD5baoO/zcUlp1jp9XH/TnIihECSVkCtyprBWM7Q362N3e5JpNOnTyMsLAzx8fHw9vbG5s2bUbZsWURFpUyyly9fPkn7fPny4dq1awCAu3fvwtXVFblz5zZpc/fuXX2bvHnzmrxu3rx59W3MmTZtGiZNmmRy/44dO+Dp6WnbSlKm2blzp71DIMo27O+UHfLG/I0wg9s7d26HxsUn2+Ngfyd7uh0LmDssPvDnAVz1yvzXy+r+fvm6ErpZK37/fats5khqZ/D31q1bU/9K2e7JyckG95Ez4f6d5GD5BSX+e6LA51WS4a1Ov31GOXJ/j4uzbm46uyeRSpUqhVOnTuHp06fYuHEjevXqhX379ukfVxh96wkhTO4zZtzGXPv0ljNmzBgMGzZMf/vZs2cIDQ1Fs2bN4Ovrm+56UebSaDTYuXMnmjZtCrU6Cz/1RDLA/k7ZSXHRBbjy6nbTxm8CXnmy7fXZ30kOzt19jhn/HDK5v06duigXknnHfdnV38/tvIidt64CAFq0aAGlUiZZpL9e/dmyZUsAwMeHdgAAVCoVWrYMt0dUlEW4fyc50e1rYvOUQ+fahTJ9+c7Q33Wjr9Jj9ySSq6srihcvDgCoVq0ajh07hm+++QajRo0CkFJJFBwcrG9///59fXVSUFAQEhMT8eTJE0k10v3791G7dm19m3v37pm87oMHD0yqnAy5ubnBzc3N5H61Wu2wncIZcPtTTsL+TtnCqKxbrVIBduh37O9kTy4u5g+JXVxcsqRfZnV/Vxp8rtVqtXySSAaM118I0/vIOXD/TnKiVCqztD86cn+3Nm67Xp3NHCEEEhISUKRIEQQFBUnKwRITE7Fv3z59gqhq1apQq9WSNnfu3MGZM2f0bcLCwhATE4OjR4/q2xw5cgQxMTH6NkRERDkWJ9YmcrqJtQ05wSoQEWUaZ9iv25tdK5HGjh2LFi1aIDQ0FM+fP8f69euxd+9eREZGQqFQYOjQoZg6dSpKlCiBEiVKYOrUqfD09ES3bt0AAH5+fujTpw+GDx+OgIAA+Pv7Y8SIEahQoYL+am1lypRB8+bN0bdvX/zvf/8DAPTr1w+tW7fmldmIiIhMkkha8+2InJilK4M5wxXDhBBwzOu1ERFlPmfYr9ubXZNI9+7dQ48ePXDnzh34+fmhYsWKiIyMRNOmTQEAI0eOxMuXLzFgwAA8efIENWvWxI4dO+Dj82rCzzlz5sDFxQWdO3fGy5cv0bhxYyxfvhwqlUrfZs2aNRgyZIj+Km5t27bF/Pnzs3dlibJBbEISTt14ippF/OGSRVceICIno01O+zZRDuBslUgKg6SRg64CEVGWcNT9upzYNYm0ZMmSNB9XKBSYOHEiJk6caLGNu7s75s2bh3nz5lls4+/vj9WrV2c0TCKH8d6yYzga/RjDm5bE4MYl7B0OETkCViIRWeQM5xryOmFSwDm2KhE5Ki13Qa+NpQpETuRo9GMAwPpjN+wcCRE5DCaRiCwS8srAWM3wAsSyGrqRxpWRZRQlETkxrYPu1+WESSQiJ+SoB71EZAfG+wsmkSgHsjicLXvDyBLyOiTg3ExERI6OSSQiJ8QyTSKyGiuRiCySVwLGerJN1aRRiURElB34Y/vrYxKJyAmxTJOIrGacNOLE2pQDWR7y5fjfp/I6JGASiYjsS177RMfEJBKRE2ISiYisJoySRqxEohzI2a7OZljx4yhzIhGRTFzdD1z6w95RZBmO2Hh9dr06GxFlDe4cichqHM5G5MR1SHLDJBKRrCVrgBVtUv4eFQ145LZrOFlBVol1B8VKJCInYTi+l5VIRGQ1kyQSh7MR6TjD16ms1oGVSETyZjikPe6x/eLIQvyx/fUxiUTkJI5FP9H/reXekYisxUokIosTrTrDBKzyWgODJJLJlSGzNxIiMsfgg5icaL8wspIT7NftjUkkIicRr3n1ywH3jURkNZOJtZlEopzH2YazGdb7yCoRZliJxIQ1kfwYfi6TNfaLIwvJaI/osJhEInISnq4q/d8JyTwwIyIrmVQDcP9BpCOn/EtGyWoVFAanHrwSJJH8COevROK0H6+PSSQiJ+Hq8urjnJjEk0AispLxiRznRKIcyOLV2eSVgrGaIo1RY/bFSiQiWTP8XPIzShYwiUTkJBS84gkRZQTnRCKCxXodWSVgMkiu6yC08hpqR0RGSSR+Psk8F3sHQESZgxc8IaIMYRKJKI1KJMdk+MOSrKqpDA5WHjx/iZaLovS3ZRUnUY5l8Dl00uMB5sZen81JpOjoaBw4cADR0dGIi4tDnjx5ULlyZYSFhcHd3T0rYiQiIqKsYjKxNoezEek4w9wZ8lqFV0mkpX9ewYPnCXaMhYhMSHYYstp5ZBrnXKvsZXUSae3atZg7dy6OHj2KvHnzIn/+/PDw8MDjx49x+fJluLu7o3v37hg1ahQKFSqUlTETkRmsRCKiDGElEpHlq7M56NmGZE4k+4VhyiAwkZxkx0CIyCwOZyMrWJVEqlKlCpRKJXr37o0NGzagYMGCkscTEhJw6NAhrF+/HtWqVcOCBQvw9ttvZ0nARERElImMJ9JmEolyIGcbziZbBkkkrZb7GiLZERzORumzKon05ZdfolWrVhYfd3NzQ8OGDdGwYUNMnjwZV69ezbQAicg6nFibiDKElUhEFjnDxM9yXQcth84SyY+kEomfUTLPqiRSWgkkY4GBgQgMDMxwQERERJSNjE8wmUSiHMhSokWe6RfbyGodDLazYCUSkfwYHgM4aaKXk/i/PqWtTzh58iROnz6tv/3LL7+gffv2GDt2LBITEzM1OCIiIspinFibKI05kRzzZEMyIkVWq/AqGAUT1kQyJNudR+Zx0tXKTjYnkfr3748LFy4AAK5cuYJ33nkHnp6e+PHHHzFy5MhMD5CIiIiyEIezEVk8V3KGYhlZ/epuEIpKId24znq+SuRQOJyNrGBzEunChQuoVKkSAODHH39E/fr1sXbtWixfvhwbN27M7PiIiIgoK5kkkXjQSKSjddDMhiRxJKtVeBWMUiGrwIgIyBHD2ej12ZxEEkLor6bwxx9/oGXLlgCA0NBQPHz4MHOjIyKryeqXRiJyHKxEIrL4Hap1gq9WWa2CQVLOqolZiSh7ScbCOmcSSVb7RAdlcxKpWrVqmDx5MlatWoV9+/bpJ92+evUq8uXLl+kBEhERURYySSLx8IpyIAvdnnMiZbZXwRgPZyMiGZAMZ3POz6ij7tflxOYkUkREBE6ePIlBgwZh3LhxKF68OADgp59+Qu3atTM9QCKyDveHRJQhnFibyCLnqESS0UoY7G9sPgkhoqyXA4azLT5wFQ+eJ9g7DIdmdSXphQsXULJkSVSsWFFydTadWbNmQaVSZWpwRERElMU4nI3IYprFcedEMvhbTqtgOJxNyX0Nkaw58fHA4HUnsb5fmL3DcFhW/whQuXJllClTBqNGjcKhQ4dMHnd3d4darc7U4IiIiCiLGZ9hOukcCERpsXh1NlllYJyBwcTacqqQIqIUOaASCQAOX3ls7xAcmtVJpEePHmHmzJl49OgROnTogHz58qFPnz7YsmUL4uPjszJGIiIiyiqsRCKyOOTLYXNIBoHLahUM4lIZRSarOIlyqhwwJxK9PquTSO7u7mjTpg2+//573LlzB5s3b0aePHkwevRoBAQEoF27dli6dCnu37+flfESERFRZuKcSEQWOUMlkrwmkTWoRFLIKS4iApAjrs5Gry9Dc9opFArUrl0b06dPx3///YdTp06hfv36WL58OUJDQ/Htt99mdpxElA5ZHSMSkeMwGc7GXx4p57E8nC1748gscpwTaf+FB0hKNpxYm/saItnJIcPZ6PVkyoURSpQogeHDh2P//v24ffs2mjVrlhmLJSIioqzG4WxETjexthz1XHpUUhVlPJyNiGRAMpyNSSQyz+ok0qZNm9CzZ09ERkaiSpUq2Lhxo9l2AQEBKFGiRKYFSETWkdUlfInIcTCJRGSRvIaCWU8yIkVGq2BYfaRScF9DJD+GOw9+Rsk8q5NICxYswK+//gqVSoXp06dj0qRJWRkXERERZQcmkYgsJoscdTibITn9yKSw8DfguAk7IqciGc7G4wEyz8XahkqlEuXKlUPTpk0BALlz586yoIiIiCibcGJtIoscdTibYeJITqtgOJm2CyfWJpKdbadvo4XuBoezkQVWVyIFBgZi5cqV+tvJyexURHIip4NEInIgrEQiSmNOpGwNI0vIdxW4ryGSmwV7Lr26wR+VyAKrK5G+//57eHp6AgASExMxZ86cLAuKiIiIsgmvzkZkMdPiqEOspHMiyWUdjOLgCSqR7EiumsjjAbLA6kokXQIJAFxdXVG9evUsCYiIMkYuh4hE5GBMKpF4Ykeko3WGUiSZUBgfqRjte7iliexPKZlYm8cDZJ7VlUg68fHxmDdvHvbs2YP79+9DazTh1smTJzMtOCIiIspiHM5GZHHyaUdNbAgLf9uT0igShWwqpIhIR5LsZbUgWWBzEun999/Hzp070alTJ9SoUQMKhfG1FYjIHuRTrk5EjsV4iAmTSEQ6zlCIJJfDA9NKpGSjx4nI3iSfU/6oRBbYnET6/fffsXXrVtSpUycr4iEiIqLs5CyVSFotoLR6lD6RhKVEi+x+oDnyP8AzAKjQKc1m0rDlsQ4mSSKjbSuPKIlyNqWTJpFkty93cDYfbeXPnx8+Pj5ZEQsRZZKGpfLYOwQichTOMCfS7snAzCLA46v2joScjFZOJx63/wK2jQQ29pHcffL6E5y7+8zi0+SyCulVIhGR/TnrcDa57Aedhc1JpNmzZ2PUqFG4du1aVsRDRBnEfSMRZUhqEilZKCS3Hcr+WUD8U2DvdHtHQg7K0gmGrIazPbpsctfDFwnouCAKzSMOSO43nONJLquQ3sTaRGR/SoVzTqwtl/2gs7B5OFu1atUQHx+PokWLwtPTE2q1WvL448ePMy04IsoYZtuJyGqpJ3JJUEGFJMc+sVNwOBtlLllVIhn2byEAhQJ3Y+LTfZqcVkFCtoER5VzOWolEmcvmJFLXrl1x69YtTJ06Ffny5ePE2kQyYXgsxsMyIrKaQRLJDUmOfdDIJBJlkKXvTVnlOQz7tzYZUEkP44UQr47LJccE8lgJDmcjkj9nnVibcyJlLpuTSFFRUTh06BDeeOONrIiHiDIBd5REZLXU/UUyVKm3HfigkT9sUSbTymk8mySJlGSSRNIKQGXmIyCXQwKlURLJOKkklziJcjKnnVjb3gE4GZt/sitdujRevnyZFbEQ0WsxmP+Ae0oispa+EkkpuU2Uk1j68UVOOSSTJBKkeVPDoXeGYcvlmMCkEknLfQ2R3Chh8Ll05MpkI3LZDzoLm5NI06dPx/Dhw7F37148evQIz549k/wjIvuTS+k6ETkAZ6pEcqIDXpIH2c6JlJpEUhpkkZK1hj8mySjuVBzORiR/kmJGfkbJApuHszVv3hwA0LhxY8n9unHYycnsbET2JsNjRyKSK4M5kQxvOyRHjp3syvKcSDL6QpWUHSWb3GUpVLn8sGQy0k5O25aIAAAKw0okJ/pOlct+0FnYnETas2dPVsRBRK/J8FhMVr+cEpG86ZJIQpVylufQ1Tzc91HmktVwNkOplUiSu4T5Ye1yOSQwrkRSwJH3NUTOSemkV2eTy37QWdicRGrQoEFWxEFEmYg7SnJGJ649wVfbz2N867IoG+Jr73Cch9GcSEJoTSsGHAV3fpRBlrqOrH6UMawK0M2JZPBplVWsZhkPZ5N7vEQ5j/TqbM6TRKLMZdWcSNevX7dpobdu3cpQMESUccLC30TO4q2FUTh05RG6f3/Y3qE4l9QTU/2cSA79yyP3fpS5ZFWJZC6JJJlY26Cp4dNksg7GV2dTajV2ioSILJFWIjnRcDaZ7AedhVVJpOrVq6Nv3744evSoxTYxMTFYvHgxypcvj02bNmVagERkO1nN4UCUyZ7E8cQjU6WemGpSk0jCkedA4L6PMszS1dlk1KfMViIZ3GUh4yWXuUBMhrOxyoFIdiRJJEc+HqAsZdVwtrNnz2Lq1Klo3rw51Go1qlWrhpCQELi7u+PJkyf477//8O+//6JatWqYNWsWWrRokdVxE5EROc5/QEQOwKgSSbASiUhPVj/KCNNLb0srkeQ+J5KUSptolziI7EW3P1Eo5Dxo3DmHs8klme4srKpE8vf3x1dffYXbt29j4cKFKFmyJB4+fIiLFy8CALp3744TJ07g4MGDTCARyQB3k0RktdSDWt2cSA79y6NczpbJ4VieEyl740iTmUokQ5ZilcsqGFciKYXpOhA5q2StQLtvD6LXsmP2DiVNOWlibU2yAx/v2JlNE2u7u7ujY8eO6NixY1bFQ0SZQFa/nBKRzKXsL15VIjnyQRX3fZS5ZDWcTWuaRJJWHBlUIkGYvd+ejGsvlGYSYUTO6tL9F/jnZgyAlM+kXKuRlE5biWSqxLhtmNPlDXSoXCDb43F0VlUiEZH8GR4kyuqXUyKSN/3V2ZxgYm1HrqIiu7L0tSmT/EsKM5VIht/3yRaClcsqGFciqQTnt6Ocw9JwU7lROOmcSJaS6Z/88Hc2R+IcmEQickIy/m4iIrnRJZGEbmJtR04ice9HmUtWlUhmkkiGFUeSq7PJKGwdpYJJJMq5DD+TstqvGHHW4WyUuZhEInISkq8jGX85EZHM6CfWTj0k4HA2yoEsfW3K6uvUzMTakhNTS1dnk8k6uBiN3lFqmUSinEPrICMGFDDYzzhTJZK9A3AyTCIROSHuKInIaqkHiZrUaRKFox00yvEyVOQ0ZFUxYHY4mzVDZOSxDkqjsw4VJ9amHETyVSWTz6Q5klyvox0PpEFOu3JnwCQSkZNwlDJZIpIZ40okRztoZBKJMoGlkzpZVQwYfjaFaSWSxTmRZLIOrESinMxR5kRSwrTi0SnIeJs7ogwlkVatWoU6deogJCQE165dAwBERETgl19+ydTgiChj5PzlREQy4+gTa0uSXtz5UeaSy5XNAJitRDIkPUk1vFKbPKiU0iwS50SinEQ6nE0un0pTkrnLHHmORCNyrv5yRDYnkRYuXIhhw4ahZcuWePr0KZKTUzpXrly5EBERkdnxEVEGyPi7iYjkxiiJ5HjD2QyrM7jzo4yx1HVkdbInSSKl/C0txJN3JZLKaGJt36RHdoqEKPvJfeJ7HQUn1iYr2JxEmjdvHhYvXoxx48ZBpVLp769WrRpOnz6dqcERkfUMM+wy/m4iIrlJPZplJRKRKdkOZzMzJ5LkJNXwaTI5Y1UZDWfzSoqxTyBEduEYlUiSJJKj/aiUBhlvcodkcxLp6tWrqFy5ssn9bm5uiI2NzZSgiOj1yOWAkYgcQOr+Ilk46pxIznklGcpelr41ZXWyJ0yHmRhGl2zp6mxZGJIt1EZnHWqRYJ9AMirhOXCXP5hTxhh+PGWVnDaidNYkkr0DcDI2J5GKFCmCU6dOmdy/bds2lC1bNjNiIqKMcJAyWSKSGZPhbA5cicSdH2WQ3IeCATCqRNJNrG2+usER5ptXa+PtHYJtVr8FLKoLXN5t70jIAUmvemavKNKndNLhbPyBPXO52PqETz/9FAMHDkR8fDyEEDh69CjWrVuHadOm4fvvv8+KGInIRpw8joisZnx1Nq2D/fLI4WyUhWR14mF2OJvBwxZClc0xgVFVg8NVIt04kvL/o98Dxd60byzkcBQGWSRZVTgakQ5nc54kEmUum5NI7733HpKSkjBy5EjExcWhW7duyJ8/P7755hu88847WREjEVlBOv+B3cIgIkeTemKn0R0SONpBIyuRKAvJatiJ2aGbFiqR5JI4SoPK0fY1OmaujEdkzl/Xn+CnEzcxolkpGNYiOU4SycF+VEqDfLe4Y7I5iQQAffv2Rd++ffHw4UNotVrkzZs3s+Miotcg5y8nIpIZ4ySSo50gcU4kykKy+j41U4mUbHCXpTmRZHP2ZPT5VAkH29foyWWDktx1WBAFAIhLTMa7tQrp75dzD1LCdNisM5DTrtwZZCiJpBMYGJhZcRBRJlFAK+svJyKSmdQTu0SHTSJJ6jDtFgY5NotDweTUpczMiRSX+Orzamlom3xWQRqJwyaRmKwmG128/1xyW1bJaSPSuZucKIkkoz2hM7A5iVS5cmUoFAqT+xUKBdzd3VG8eHH07t0bjRo1ypQAicg6QgDvqHZjrMsajEuaAKChvUMiylQqpcLyL+2UcbokklADABTJGntGYzsOZ6MsJKuTPTOVSHGJr07y5D45uEIwiUQ5k/FUg3L5TJojrURyor4u423uiGy+Olvz5s1x5coVeHl5oVGjRmjYsCG8vb1x+fJlVK9eHXfu3EGTJk3wyy+/ZEW8RJSG6erv4at4iS/ip9k7FKJMZ/rzBWWK1KNZx61E4nA2en2WfqWWbRIptUIgIelVEklrofpIPr/AGyWR4GD7Gh3uZ8hGwuC/gMz2K0aUTjonEmUumyuRHj58iOHDh2P8+PGS+ydPnoxr165hx44dmDBhAr788ku0a9cu0wIlorQZHiT6iOdptCRyTGaKYClTpOw7dHMiKbQOXInkRPM3kDzIqvjR8MTTTF+3dGIqm/NVIQAFkCwUUCkElBBQQgut7b9p2xdPrMlGxlWCsvlMmuWcV2eztMlLKG4CsY8Ar4BsjcfR2bzX3rBhA7p27Wpy/zvvvIMNGzYAALp27Yrz58+/fnRElCEu4AEOOR8Fa5GyRuoJUQJShrM5dCWSo8VOsmF5TiQZne2ZSZhK8koGGS85z4mkMfgNW21UjSSr7W2JI8RIsiP5rMq4D0kqkZzohxlzm7y64hx2uo0ENvTM/oAcnM1JJHd3d0RFRZncHxUVBXd3dwCAVquFm5vb60dHRFaT8fcRUeZgDilrGE2s7XiVSMnm/ybKBLL6bjUznE16YmrhaXJZCf3QWbX+LtMkUrZGlDEOESTJiXHSSM5dSOm0lUimG72l6kjKH9f+zOZoHJ/Nw9kGDx6MDz/8ECdOnED16tWhUChw9OhRfP/99xg7diwAYPv27ahcuXKmB0tERDkXc0hZxHhibUer5uFwNsqIO38DuQsD7n4ALJ/UyapiIJ2qO2mswsxf9mY0/xoAFyRjZPNSmBmZMoIhWQgo5b6353A2spFWGM1TJp8PpQmFk86JZG6ba17vQvU5ms1b7rPPPkORIkUwf/58rFq1CgBQqlQpLF68GN26dQMAfPjhh/joo48yN1IiIsrRlJwUKWsYVSLB4SqRTKsziNJ0ZS+wsh3gEwIMP5tmU3nNiWRmOJvBwxYTXnJZh9T4kqGEFgooIaBGMtxdVPomskraWeJEJ9aUPYyrAeXcz6XD2Zy7r2vwat+Dn/oAjcYCAcXsF5ADsSmJlJSUhClTpuD9999H9+7dLbbz8PB47cCIyDby/ToiyhzMIWURfRLJUSuRnHP+BspCZ39N+f/z2/q7LH2HyupkL52qO8NYZTn/Smr8AgokK9RQikSokQQX1audu0OcszJZTTYSQqafSTMUTjuczVSSYSrkzE/Ag3PARwezLSZHZtOcSC4uLpg1axaSk52nQxEREeVoDj8nEoezkY0U1h/+yupcz+ycSAaXDbeQgJFVNRV0SaSUCoDSyuuofn42ciHlqrJyPrnWYyUS2ci4V8u5lyucdmJtc1vd6L77/2VLLM7A5om1mzRpgr1792ZBKET0OmQzcSZRFuFwtizi8JVIHM5GNjKTRLL0HSqrpIYNcyIZhp0skyySIjUoASA5NWk9Vz0fZaJXYqH6GwApcyLJHpNIZCPTibXl28+VOWhOJHckSu+w4QeGnM7mOZFatGiBMWPG4MyZM6hatSq8vLwkj7dt2zbTgiMiItJhCimL6K6YJFIrkYQ2paRB6SAHU6xEIlspVOm3SSXfJJK5OZHMP00266AwHM6Wsr/xVsQDAMJU/wEaBzlnlcv2JIeRMpzNoGpQxl1Iqcg5P8y4wajy2tF+RLMjm5NIugmzv/76a5PHFAoFh7oR2YmMv4+IMgezSFlDf9ltg0MCrQZQutkpIBsxiUS2MpMgtfQdKqt8gWRSlXQqkQzWSC6VSLqQDJNIxliJRM7ItBLJToFYQXKo5RCTlFnHXDLdJIlEVrP5Z0atVmvxHxNIRESUVZhDyiJGw9kAAMkOdGDlyMPZkhKAWyflfUbhjGyoRJLVWyPp66l/WzFZr2wqkVKDFUKhH85mTD6xGjE8mZZrjCRbQlh5JUUZUMCBv1PTYLzJFdCiq8se+wTjBBykVp2IiHI6BedEyhpGE2sDSKlEchSOXIl0ZBGwuBGw4zN7R5KzmJv3Qu5DwQAr5kQyaCrDOZFeXZ0NSLJQiaSVS6zGDE+mWYlEr0lW+xUjzjonkvE2D1cet1MkzsHm4WwAEBsbi3379uH69etITJROSDVkyJBMCYyIbCTf7yOi9MU9BlRqwM3HYhPmkLKILokkDCuRHGheAEeuRNr5ecr/D80HwqfYN5acROlMcyIZTqZtPla5JJFeTaydViVSdkZkAy2TSJRxWiEkiV057VaMOevV2Yz3LSUVN+0TiJOwOYn0119/oWXLloiLi0NsbCz8/f3x8OFDeHp6Im/evEwi5WAHLj7A+bvP0aduEVYMEJH1EuOAmUVS/p7w1GK2iHuVLJJ6QpQMJZKEEi4KrQNXIjlQ8ovsx9zV2Sz8EiOrpEY6CVPDZJFh2HI7YRVQIMnCkEJZJe0MSba3TGMk2TLu1nLt5oBxJZLzJJGMk+zxhkP4yWY2D2f75JNP0KZNGzx+/BgeHh44fPgwrl27hqpVq+Krr76yaVnTpk1D9erV4ePjg7x586J9+/Y4f/68pI0QAhMnTkRISAg8PDzQsGFD/Pvvv5I2CQkJGDx4MAIDA+Hl5YW2bdvi5k1pdvHJkyfo0aMH/Pz84Ofnhx49euDp06e2rj6loceSo5j8+1lEXX5k71ByJEsHwESyF3Pj1d/JiRabMTmdRVJPTLVQIAmpJ3YONSeS4a+mrBAgK9g0J5KcvltNJ9a2ZtiaHCarFkLoKxwEgCQLv2PLpWrKBCuR6DVohZAcp8s2WQrnrUQy3uJxcLdLHM7C5iTSqVOnMHz4cKhUKqhUKiQkJCA0NBQzZ87E2LFjbVrWvn37MHDgQBw+fBg7d+5EUlISmjVrhtjYWH2bmTNn4uuvv8b8+fNx7NgxBAUFoWnTpnj+/Lm+zdChQ7F582asX78ef/75J168eIHWrVtLJvru1q0bTp06hcjISERGRuLUqVPo0aOHratPVrj15KW9Q8iRZPx9RJQ2leurvxNjLTZTMoeUNfTzlCih0Z3YOVJFjyMPZyP7MFeJZPAd6otYLFHPQmvlIflWIplJmGqSBX7/5w6mbT0rOUmVQ2JGCBgkkSxfnU22xzKG+xYnOrGm7GHcrR0miQQh4w+lGUkJFh8y3uZKMBn8OmwezqZWq/W/BufLlw/Xr19HmTJl4Ofnh+vXr9u0rMjISMntZcuWIW/evDhx4gTq168PIQQiIiIwbtw4dOzYEQCwYsUK5MuXD2vXrkX//v0RExODJUuWYNWqVWjSpAkAYPXq1QgNDcUff/yB8PBwnD17FpGRkTh8+DBq1qwJAFi8eDHCwsJw/vx5lCpVytbNQGlgRYx9ONI+nkjCsMIoMRbw9LfUMFvCyXkMqwMcsRLJ4EAw8QWQ8AJw87ZfPCR/SoMkkjbZZI6kT1x+QmPVX2is+gutRHg2B5cGM0M3Db/6E5OSMXDtaQCAj/urQ3w5nLAKvNqDCygsVyLJIFaztGaujEdkJWF0eTaZ9nIARsPZgJT+bkP1pt3s/ByImg98eADIV87kYeO8u4pJpNdicxKpcuXKOH78OEqWLIlGjRrh888/x8OHD7Fq1SpUqFDhtYKJiYkBAPj7p5xAXL16FXfv3kWzZs30bdzc3NCgQQNERUWhf//+OHHiBDQajaRNSEgIypcvj6ioKISHh+PQoUPw8/PTJ5AAoFatWvDz80NUVJTZJFJCQgISEl5lM589ewYA0Gg00Ggc6ODaDpKSkjN9G+mWx21vWZLRRLjcVo4rx/X3xAT9yHRN4kvA4nq/OrDJMdsmqwmh3/aGw9nSfh8y1+v2d4VGcl05aH8fgeQ28zIhsqxnOCMD+3T2UQro0qXQJMQBLu5IMqheD1Xc1/+t1YpMfW9ep7+rkpP1Qwi0yRokazSSqvuXia+OA57Hv/o7UZNk9/6lSdbqT04FFNDA9KRUAS0SE2V6nJ34Uv95FdokJMkxRhnKccczFiRrheQ4XSODz6QlxkkkTWK8tGJcptQHvwEAaP/4AsmdV5s8nmi0vS0lkV7nfXGG/m5t7DYnkaZOnaofSvbll1+iV69e+Oijj1C8eHEsW7bM1sXpCSEwbNgw1K1bF+XLlwcA3L17F0BKxZOhfPny4dq1a/o2rq6uyJ07t0kb3fPv3r2LvHnzmrxm3rx59W2MTZs2DZMmTTK5f8eOHfD09LRx7XKKlO70z+nT8L7/T5a8ws6dO7Nkuc7g9GMFmhvc3rp1q91iocyRU/q7d/xtNE79e/+e3XjhHmy2XWKCCrrfstm/M4nQol3qn1oo9Sd2UQf24qmnbdXFryuj/T3g+TnUNbit/GcdflW1yJygslg7g7/Zp7NPsXsXUD717x3bfkeSygOn7ymgSy29hJu+bcyzZ1ny3mSkv1e+cR0FU/++c/smjm/dKon7zH9nATPJmTP//oetT/41uT87JWkBheJVEumlxvQEzh2J2LtvH87J8DDbPfExdDVp8XEvsIOfV5vklOMZUynnRomJiThy5Ch0n8+DUVG4e8aOYaVBYZREity2FVql/JNIuu/T+/fu4oiZz+eNF4Bh6sNSEikz9veO3N/j4uKsamdzEqlatWr6v/PkyZNpX6yDBg3CP//8gz///NPkMePJVIUQ6U6watzGXPu0ljNmzBgMGzZMf/vZs2cIDQ1Fs2bN4Ovrm+Zr51QfH9oBAChfvgJaVi+QqcvWaDTYuXMnmjZtCrWas+mb43r2PnDt1e2WLVvaLxh6LTmuvz84B5xN+bN+vTpAntJmm009sw/PNCkVouzfmSRZA5xK+VNAgSShAhRAnVo1IQpUz5YQXre/K6J9gEvS+xymf/z16k+HidkJKI9EA7dT/m7W5E3AIzeeHbuJH678BwCIFa8mXC3iGY+WLduZWUrGvE5/V235HXic8ndwvrxo2bIlYo7dAK6k7ECLFCsB3Lhi8rzSZcqgZZ3Crxv6a0lI0uKnYykXzxEAlGoPwGj6Ek8koG69RiiZzyf7A0xPzE0gNQ/nrlbx82qlHHc8Y0R3bqRWu6JGjYr49r8TAIBatcJQvXDutJ5qN6uPrZHcbt6sKeDqZadobJD6fZo3T6DZz+fpWzHA6SP625aSSK/z2XaG/q4bfZUem5NIWWHw4MHYsmUL9u/fjwIFXiUfgoKCAKRUEgUHv/pl+v79+/rqpKCgICQmJuLJkyeSaqT79++jdu3a+jb37t0zed0HDx6YVDnpuLm5wc3NzeR+tVrtsJ0iuyhVyizbRtz+lilVKmiFAsrUX/q4nRxfjunvBjNmq5UALKyzYdI/R2yX7KB4dRClhUI/sbaLQlh8H7JKhvu7ynSSZEfsH44Ys8NSvdrWaqUCUKuhUr2q4DGsRKqriYJa3SnTQ8hQfzf43VMptFAaxW1uwnDd/fbuX8l4NexOQIEkhWk8HooEKJQudo/VLJXBD9NajTxjlLEcczxjgQDg4vLqtFupUsl2exhPOK1WKbP9eOB1KJUqKM3Eu/qI9MrtlibWzoz3xZH7u7Vx23x1tnv37qFHjx4ICQmBi4uL/iptun+2EEJg0KBB2LRpE3bv3o0iRYpIHi9SpAiCgoIkJWGJiYnYt2+fPkFUtWpVqNVqSZs7d+7gzJkz+jZhYWGIiYnB0aNH9W2OHDmCmJgYfRvKPKsOXUu/EWU6IVJOAonS8yxeg8az92L6tnP2DiWF4ZXA9JetFiaX1k6nAJUyQhgmkZSvJtbWOtB4foee5Jad2j4ML2GtSb3n1X2PxatKmHjIaBiHmSsRGu4mLU2gLYerswHSq7MlmRl254kEWUwCbpbhFdmSHejqlSQLWiGs+qzKgcm3ktFVT4UQ6LX0KHovO2pynCYLFo4JNv11S3LbRcGrLL4OmyuRevfujevXr2P8+PEIDg5Od1hZWgYOHIi1a9fil19+gY+Pj35+Ij8/P3h4eEChUGDo0KGYOnUqSpQogRIlSmDq1Knw9PREt27d9G379OmD4cOHIyAgAP7+/hgxYgQqVKigv1pbmTJl0Lx5c/Tt2xf/+9//AAD9+vVD69ateWW2LHDu7nN7h5BDCSaRyCobjt3A5QexuLzvMka3MD90LFsJ04PzviuP4+aTl/h1cN2UX8HA0+0sIaSVSK+uzuZAJ0mOnERSqqRJVMoekoRAahLJwrmQm7B8yehsZ+bqbIYsXdlMK4MkklYIgyQSzE6sLeskkmTbO1CSneTBqFsbXylMTkwqdIyCfRybiH0XHgAAnsRp4O8lo0Q7YJL0skS3nvFCDXcFP9O2sjmJ9Oeff+LAgQOoVKnSa7/4woULAQANGzaU3L9s2TL07t0bADBy5Ei8fPkSAwYMwJMnT1CzZk3s2LEDPj6vfiWaM2cOXFxc0LlzZ7x8+RKNGzfG8uXLJZVRa9aswZAhQ/RXcWvbti3mz5//2utAJCdaKAEws05pe53kf5bQmp4Y/XE25epIx64+Ru3igQBkGLczMDgxklwxyZFOkuR60mkNhQoAk0jZLp1kjOHViQYkLgWejwZ8zE9/kK0kcadWIhk8bClZZCm5lJ2EgMHV2ZRIMnMK4goNZJDvMs9M4pHIWlohJNWOcvhMWmJ8dba0fqiRZdJXa915kG5OpDi4wR38TNvK5iRSaGhoppWuWbMchUKBiRMnYuLEiRbbuLu7Y968eZg3z/Ilff39/bF6tenl/oicRcpwNptHqFIO5Gowt8OdmJcI9vOwYzQwO5xN51k8v9izlFESSX9i50gnSQ5dieQCJMuo0iWnMOwzukokg4d1cwvq7Z0GtInI8rDSJRnOZtrvky18FORQiSTwajib4fxrhlwUybIZemdCUt0g8Pj5S/j72Pm7kxyGcbeWw2fSMuMkkjQpozT4QU+OOSRrjwlUqesZB3f440VWRuSUbD7jjIiIwOjRoxEdHZ0F4RBRRglwTiSyjtpgIuIfjt2wYySpDA9QjJJICUmvDgaUBt9YshyH74gMtqNkOJtWg5tP4hxjO1v5q6MsKWVxfZOcJ52hSQrj4RwJ1l2tJsuZq6Ay/AxbmhNJBp9jIYRBJRLMzonkiiT57nOMvpvCpkRi08mbFhoTSQlI50RKknESyaQSSZtWEkmG62HlMYFuONtD4Sd9QI7rJENWHb3kzp1bMowgNjYWxYoVg6enp8kM3o8fP87cCInIKiaVSFqt9KybKJVhEik2QQZDaQy/8I2+/A1PihQGSVKtkFwshzLKaGJtjUg5sdt39g56rd6DvvWKYFyrsvaKzjoOXYnEfbRdpJOMMTmJkktlnmRmXtMTJUtJJDmcr0orkZRmk0gukHElklESSY0kfPbzGXSsUsDCE+xMCGDN24CLG/DOmvTbU5Yy7tay7ecwN5zNclJGlqth5ZxILqnTf1wWwaiEy68e0CZJruBJ5lmVRIqIiMjiMIjodQnjibW1SYBSZpPdkSy4qKTJGLtLYzibxeEZQkDFyrvXZ6ES6fdT1wAUweIDVx0viRT8hn3iyAhWItmHZDhb2nMiAcDDWA0Cszoma5hJfhlGaunEVA5DZ4SQXp0t0cwpiBpJ8vhOMseon7ggGS9lGyyAJ9HApdQrVyfGAa6edg0np0tM0iLm5atktJyTSIp05kQynNtJnnMiWffjqK4S6ZYIBNp8A/z6ccoDyRomkaxg1dFLr169sjoOIsoEyZJKpCRATpcmJtlwNahEksWBTBqT3EoqkRTm76fXIDk4fDUnkptS6zhz9BsnkRSmFQ6y5UixOhMzw9kkcyIZnUTdjomXXxLJzK/tFoezyWA/Lx3OpjBbiaRGsnz37SaVSMmIlWusAKCJe/V3ciIAJpHsbfC6v/R/y2GIqSUmc8IZVT1KCiLluB5Wz4mU0k4LJfBGN4MkEj8v1rC5jnrr1q3Yvn27yf07duzAtm3bMiUoIrJdynA2g3HKyYl2jIbkzHA4W5IcrjObRiWS4S/ohuPw5RC2U0g92EoWKdtWd3U2V4UDbWDjA0ZHurIcK5Hsw8zE2oZM5kRSyGTYobmrsxme0Fn42MrhhNWwEkkLBZKEuSRSkjxPSl8+BTb2kdwl66F3gLRf83hQduRQHWhJ+pVIBn/LcTVsvDpbslBKK4+srGTK6Wz+Vhw9ejSSk838+qHVYvTo0ZkSFBHZTiDlsrn622Y+p0SAdDhbUrIMjgC0lifWTpbMiWTQTJZHLg5IGPwSh1eT3bopHWj/YZxEMjM8SbaUBifS7NPZR7LPSa1EMtj8JnOCyDiJZMhSskgOJ6wCkFQimR3OpkiSZ2Lm4DfA8zuSu1wUMh56B0gr1ZJ4BUi5kfPE2iZJJJNKJLkPZ7MxiQRVSqm7rjKYSVer2PytePHiRZQtazo/QunSpXHp0qVMCYqIbCeEkP46wEw6WWBY0ePtJoNKCKOrs0kOUAwPtDicLfPpk0iOXImU2heUqb8kOlQlkkESiQeu2cfGOZEMLy5jV+bmRLK0vzQgj0qklJ+6gJT9jcZMEskFyfLMpb40vWiQWu7jfQ3L0rhvkR05JHYtMZ1Y23IlkiyTvlZOrK1S6JJIqekQVeoUIHK5kILM2ZxE8vPzw5UrV0zuv3TpEry8vDIlKCLKGMMdP4ezZY0nsYn4377LuPcs3t6hZJjhV37+3B52i0PPaDib4UmE7gDl0v3nuPIg9lUzB8pxyJr+4DDlJDlJpJzYqRUyP0EypFsHF7eU/zvSAaDhcDZHitvRpZOMURoPZ5PLJP7pzIlkKVlk6QIF2cm4EilBmCaR2qsOyvMHArXp/Cguck8isRJJ1uRciWSy/xMONieSlZVIShgnkXQ/RPFHeGvYnERq27Ythg4disuXX10K79KlSxg+fDjatm2bqcERkfUM5xsAAGHlTpRs8+lPf2PatnPo/v0Re4eSYYYnS7L4FUkrPaEzjEgXXpOv90ufIscDF0dkVImkG87mkEkk3a+IjnQAaJhEcqQKKkeXxmT+gOlwDiGXuasyeHU2IYP9pfHV2W6/MI2pmvKCPL6TjCnNTwIua4b9OplJJLmRQ3WgJSYpc+PhbDA8hsz6eGxmbSUSpMP59T9EaV5mRVROx+Yk0qxZs+Dl5YXSpUujSJEiKFKkCMqUKYOAgAB89dVXWREjEVnJ8NcDLX/VzhL7LjwAAFy6/8LOkWScNEkjgwOZtIazWZrjQw5xO4VXw0uAV8PZ1FYehMmCI1ciGc6140hxO7p0kjHGwzlUJpVJdpLOLNqWdotySMxIrs4mFEiE+UtoyyBUU2aSiC6QebLa8MQ/iZXpcpMsy+xLCpMLCxgfD5ipFpcVCz+iB/m6S26rUhPBSbp0iHuulP/Hx2RVZE7F5p9W/Pz8EBUVhZ07d+Lvv/+Gh4cHKlasiPr162dFfERkJQEhPfDlCUmWcFUpoXH0ScslBwD2C0NPMpwt2aoklxyPWxyShYm1ZX+CZMi4EsmRhvIK7rPtwmIlkkC48jiKKW5LmrsImbw3kiSS6YTglk7o5FD1YDicTQsFEiwlkeRYRa0wrURyqOFsrESSHTlc08QS0zmRjCozDf6WzQ96hnEYX2wjlY+7C+4+e3XbpBLJI3fK/83MgUamMlSfq1Ao0KxZMzRr1gwA8PTp08yMiYgyQAijHb8cD8ScgJtahdhEx962hqXIsjgA0BpXIr26aSnJJYu4ncDyg1fQGynDSwDg/+x9d7gkVZn+e6qq002TmYFhYMggSQQJgqJIXkSMu6K4Zlc3iDm7uur6M7trWLMSFIwYEJCgguScYYYwM0zON3asqvP7o06s0N333q6u00O/z8NDh7p3Tvc9dc533u/93s9lYYHTi+VsXInUS+VsGqPbQ+RXr0Mz1pZkzHHkcXwv/3Xx1kY6H7uTHbBMKTVsVc5mcnc2CqjKxyQlkpH3QYwSKUc8gAY+ifMG8xkMqgVUpVpfiWQcPIONHVuWs5moRGrRuRJAmBpTurNZeGTDGA7lJFK5TyK1g2mXs33xi1/EL37xC/H8ta99LRYsWIClS5figQce6Ojg+uijj/Zx85PbdE+kXmpz3UPI2YYYrM4CxgUAWsZUP6z1y9nSw46pOi6+dRWAaDmbQ3to/RBKpB4sZ2vhzdNHSkj43ve31muXVWhADuRNIVVbzJfk7mxpDah9qGppGlIiNfZ6obzORBPoGBLpULIKAMVXrl3R/fG0g74SyWgYoQJPQEtjbdUTyZRYrEXTASDqDacaa5/zzZuBoUXBG5NbUhniroZpk0jf+973sGzZMgDAddddh+uuuw5XX301zjrrLHzwgx/s+AD76KObqDY8vPWnd+GS21ZnPZRp47f3rg+RSP3MUxqwTGn1PE3cs2YHXvf92/H4pnHzSKSwEkkzbeyXs6UFSqlYM4SxNu1hY22hROpREilmza65Ht520V346S2rujioZwESFD2cNOKoIXjuUEP205hsu3owSur4ZIoSSTXWrqvd2Qbmi4fExNjFih6XPpn7GU617sXmcUMJGs0TydAxPoththIptF40USKZsLYAaCshEx6pw0kkagefaXC34I3yts6PbxfEtEmkjRs3ChLpyiuvxGtf+1qcfvrp+NCHPoS77rqr4wPso49u4tf3rMMNj2/BJ3//SNZDmRHUcrZ+d7Z00JsUEvCq/7sNtz29HW/80Z3aRmpC1x6dRPLaIrmMCVx6GI5lKR4lQTjAlUi26X4fKsIkEvVjTYeNRAtPpN/eux7XP7YFn/7jo10c1LMAIeKaww25PLhWQCKZXM6mIpl0z369VD2RAiWSQtjZeTS4MslEwiOhO98F9nVYvmCgy4NpE5oSyUBi7lkOk5VIERIp5DHUTkfIrkNd0xM8kcIfS1UiAQDy7F5ulDs8uF0T0yaR5s2bh7Vr1wIArrnmGpx66qkAgoOI1+tms30861Ft9PYc1iSovVTS0UMgPapE4tgyUdOIIyOkyDT+QAckk1wmHIp2BfA1Q3oiMSVST5FIbC7YyqG0V0rDYrx5VIxV+ut4Koj1RKKCROWoM6KDmEgixcwXN4E8NeGg5/sUhKjG2pKYsZ0cXBKQSKSHSKQiqWPJnGLse5mjr0QyGkbEXgmIGmuHlUiGxZBAiGCPXweTPJGEsXaOk0iVDg9u18S0jbVf+cpX4vzzz8cBBxyA7du346yzzgIA3H///dh///07PsA+ehOU0p48bBecafOqRkErZ+uVQ1SPIUbV3nPQs0iZDUNC684WMtZmTxYO5bFtUmZTDTgT9TzCHiWAYqzdi93ZuBIJYHPKQLPbMLTAN0oKmHD43yWh1WPIuU5DWtMGyQEUsH1DlBxh34/QAc5NMD8yhXQnmhJJeiJZthOQSBQgvoGER0x3NiAg4ZNKCDNHX4lkNEwuZ4uQSKGx6uVsXRhQO2innC20DtokpETKlYL/90mktjBtEunrX/86li9fjrVr1+JLX/oShoaGAARlbu9+97s7PsA+ehM+BXrRfzjf4ySStvD3jbVTQa96IqnQAgATDhdNPJF4fB7+3o0Y9y6AsCeSMNbuKSUSN9ZWjHobNeTyhpaZaGjenS2JFOhjlkjo5BOe9zVSAChgUQOVSECk/LeRZKxtANGhdpD1QVCnSnc2ywkIO6CnCA8bPhquKafoELTubAYSc89yGJHAS4BF4pVIvk8jah4jlUhJxtqh57xs340okfrlbO1g2iRSLpfDBz7wgcjrF154YSfG08cuAp9S2D3oHuP0uMxELWejpsjvdzH03qyOQ2vj6q6iiScS9z6KkEgmjLvHoRrd+qFytt4kkaQS6aT/vhanPf85+Nx5h2c0qDahlSfFedwYfNLoZWgltHKvDHuBNQj3RDIkKRM+sIXGZXp3tiQlEogFj5NIJrajT/BYseAnEneZQ50b/e5sxsHktT1azuaDUoqXf/sWjFbquOjNx4q3jInFEhID2iUUGEYZ59s3gICihGCt8ftKpBmhLRLpD3/4A8466yzkcjn84Q9/aHrtueee25GB9dHb6FWVQK+LTGw1e9BXIqWCXU2JZASJRMNKJAlPkEj6j5gw7F0BYWNtSSL10PqhKZEIAArfc3Hp7c/0AInUXInUR0qI685GZbceDq6OMbKcDWi/m6UBC6aqRKIgqKskku/B5YSdiYRHAolkw4drqqRE3VdNJOZmgfFqA6WcjZzdu4lfU6cNEDpLAIDvwafAQ+vHAABPb50SbxkRQwJtKpEovpj7Ps6279Re98JKpPoU+miNtkik8847D5s2bcJuu+2G8847L/E6QkjfXLsPAAbVyE4Tvc0P6As57ZNI6aCn50gAdaYYQfj68aoAQEqlwx5rRoy7xxF0S2LG2pSVs1HuidRDezkPHokVGOD6jd4Zvya7i6pHrTB72kdnkGBQbZOwEilQt5lbzhZaL5UD3SKM4tL8f+OX3sl41H9jN0bXFD6lmvJRUyJRD67FjLVNJFMTlUgUDVPZAHVfNZGYmyF2TtVx1Gevw57zSrj5w6dkPZwZw2QlUgTUSzTTNrOcjXVoDVWXUIoIgQQoSiSHmeSbuAYZiLYoXN/3sdtuu4nHSf/1CaQ+OHr1gEcUhsCI1ufTQFh+2jfWTgd9JVIKiBhrK55IPieR9B8xYty7AKykcraETJ6RECQSEb5IYTLAWLTotrUrrDdGIqb0gYJGlEhcHWObUh7ewhNJ7c72TuePOMhah0/mfmZETEahG2t7aic835fd2Uw8wDUrZzOhVjAOu6gS6Y5VOwAA63a2UXJUmwC+exLwl8+lPKrpwxjyJQYWYtYZ5akaf5mgcgQQq9KMXJIwVB73iOYcbrWDA9t10bs6wD6MhsmLYzOo8XqvHVLDiz6NOZD0MXvsCsIA3bjagHlOQ55Iylv8NrRDX7wJw+510JAyAFCNtXuIhKayTa/LuijlekWJpBlrR9fs8Lzvo0NIUD+G99GGxUgkY5VI+n2qxi3qzDFhnY/zYBPwXUHYEVNKB1U0K2czVVGyiyqRptVF+f6fA5seAm76cnoDmiFMPmOQWE8k+VTtSGjMeS/sgxRD/CeJA0Q5myCRdp37JU1Mi0TyfR8//vGPcc455+Cwww7D4YcfjnPPPRcXX3xxz6k2+kgXCfut8VBLZgxe32MRViL5fRIpFZBdoJ5tWkqkbqzt4e5s6vh4OVv4R/p7TkfAD81RT6ReIWEgNpxHNk5gvBbMi54Zv6ZEih6e+0KklJDoiRRfzmauEkn3kFu9XXYVmoI0mjfjwEqVOCU0sakHzzLYEynS1ymADR/lmoe/P7EV1YZha446V3ahQ7HaRbnlvE4wWO4Wms0JM+7JeERIJN8Lea/5ymNDPkc7SqSEH/VpqJytr0RqC22TSJRSnHvuuXjb296G9evX4/DDD8ehhx6KNWvW4E1vehNe8YpXpDnOPnoMxjDT0wQBcIL1CPbAtp47pEaVSD2kJOgh7AqHOl2W3OTCn70G+L8TYxUSHUWIRFIHyBMUke5sPXZ/mojAE0n/Hl1wT6QeWj9Y8Pjoxkll/IYd6JKgkRkxSqRdYcExEZoXlZzr4e5sLlciwTPD7LGNgxJHmRbFYxMqrgJjbU5ah5VInujORkxMgCVkRgkofnvfelzwozvx4d882OVBtYCmRDJQ3TVDqCRSS+LOzjV/P2VcePn9ie+5ppAvMbBiukBqSiRlQTEmFgvfozFnIEoBn0b3VI+vR0KJtOvcL2mibRLppz/9KW666SbccMMNuO+++3DZZZfh8ssvxwMPPIDrr78ef/nLX3DxxRenOdY+egjGLCrTxKItt+Cy/Ofxy8J/9dxnCJdv9MvZ0sGu4FGieQ4lzfOp7cAT1wJbHgHG1qY8oHB3tmi3obDBcK/dn6bCInp3Nl7OFj5MGw0WPFJiKeV4PTJ+TXbX3BOpr/juIDQFGFMiIdqdzbMKyhMDDhYxB6XEJRySRLINUPcEnkj8cbISycxyNvkl1w5+pXg8h0yBsDnz+/s3dH1YTaF5ImX/9+8ULEKQRwP/bP8Z3o5VzS9WSaQM1s9rHtmU+J4xXkIxIBFPJJ2QUeMvY3zlWzQdAAIrhyfo0sjrEWPtvhKpLbRNIl122WX42Mc+hpe85CWR90455RR85CMfwc9+9rOODq6P3sXqbb3ZHnH3DdcDAPYk23qunC186OsrkdKB1YNOcs0On4lS5IYsi0g9+PJDnkhauV3w/2g5W7pDejYgzqPEpT1GwgBadzaPydJzvaKkamWsrZCnxpQN7AoIEddAcD9ElEjMpweAISRSjEIgoUijCjn2vFeOvaabCLqzNVEise5sK9Zt7fbQWoPfp8e8BZTIIGABmcAe2J7RoFpgF1UiWQT4oPMLfCZ3EQYvf1WLixUSybDEqgnqwCTwu9PlZV5+I9ETyZiEXpvG2pG1B4qxts3WTOrFKpn60NH2cejBBx/EmWeemfj+WWedhQceeKAjg+qj9/Hq796W9RBmBjKNWmvDEFEi9buzpYJe9ES6+clt2vM4z6EI1ENW6uVsbvxjJAcoJmfxegkREkl0Z+uh9YMrkUDQYOVsdjiTaipaeCKpArxeLRM3EgllhFElkkoiGXAInUY5m4qCnz2JFJDWAWIPcoywG52YxNNbJ7s4stao1oO//WjFi/jsDBJDVQvq3NiFlEiEEJxj3w4AsMfWNL/YcuTjRvb3gArPhPLYBHCyl++nYU8krZzNlFgsotKMUyLFxwZeWIkE9NVIbaBtEmnHjh1YvHhx4vuLFy/Gzp07OzKoPvrIDD1cOhBVIhkQ8O6C6MVqthWbJrTnWne2pACgm1nMEGGljohnvMKjNCVu6WVQxeiWinK2HvMUAnQlEvscDumV8cd783Co3dkMPnP0HuKMtUFhh+YNtXIyG2+CmiPOWDthLVT9zoo0+wO06onE6aQrvJOCpy/6AGo0WHsKxMVYxaz45Z7Vgdroxie2g4ZIpAEYStC0IKifFVADtm6RSE9eD3z1EODJG5peZnKimq8dkkRyExuyGJPciKyN0RggUJtGN1I/3J0NePbeM9NA2ySS53lwHCfxfdu24bo9lLnso48YqDJlz+uVQ0iAveflted9EikdkB5kkcJtwtvqzpbQAjsV+PqBjmr19kxlEgpUjJFQ9zjCRrdSydND+zmVn6H3jLXVmzFOiaSUs/XnfOcQ44kExMwbYsmDlAG+QhE6vUn3KbXZRsGrpDWgtkEVJyRubvuBxjuBDzwJ7HEUGsxYO48GcrZZdePPbA8sGnaUG5H9cEBRIk1UDYq7/F3TE2lae79KzDe6dA9c+ipgYgNw6SubXmYyicQVynWFRFK/d+2xKZ8jvBbGxq00lkQSn9OyZQlkX4nUEsmsUAiUUrzpTW9CoVCIfb9W23UWqD6exVBIJL9RAVDKbizTxIAdeqFPIqUCq/c4pIgZuNaYKC4gK+8Avv18+byr5WxeqHscU8qEz079A/XsQaEokQL0nDE1oJFIPTf+Fp5Idt8TKR2EO0IiPkttWRbqcFBC3Yw9tQ3zWA71sxSpASSStt4E89qDDQwtAgD4rHQwD9e4uS7Lfq2IYlBVIlUaHoaL2XYEE9AUvrvOGS3J1yYW6j1rGClg2hxXQcJKpASFOGDQ52innI3Gq5SrVEnCOwWg3jBuvpiItkmkf/7nf255zRvf+MZZDaaPPjKF72P5ExfJ5/UpAPMzG850YSO0YJoQ8O6C6EEOKUJ8xZE0Gu7+sf68m+VsCa1k++Vs6YCrFXgZWG96IsmSPP45esdYu1V3NvnYmIzvrgCNSVc9kaJKJJGlNqG8YRqeSJoSyc+eRAKiHmwqJInUgGtY7aZmCB66TwcgD5uuSW7JmhLJgLnbIVCqatpaQCVZu6VEahOuweu5KGejdhD0RhqeqOVsXR5cEtox1oa+LnKoTQgCEmlyl1LvpYW2SaSf/OQnaY6jjz6yx+hq7anf6C0W2qJhT6RdJ2gwCWFVTy8gXIKnlYvFBQCRjE7KcylkrK16NjWEEilUzmZwANYrUE0muScA784W9lgzGpoSqYeNtWNUJeq9a/Kho+egfe9yrofnDbGUcjYTDhXC/8sOyPdQ+a8KzRPJAGPtoDubrkTS3relEskoMgYhBVXocLqYSD9YY1QZwK6rRJrOxV4G5WxtwmQ1dUSJ5LvaF6/en5fd+Qxue2obvvzqIzFvULfV6Cra6s5GI80TAGA75sgn3FzbhPXecJhVdNxHH1kitMHQHsvcRA59fSVSKuhFEiniiaQ+jgtkSGhrSLvVabi0RAtWGEHQL2dLBfxw5MHC21+4j2Ks3SNKHkAJHi1BgoW7VRoLNfBtEbT253wHEWOsDUSVSMSy0KCypCNz8HHzVtRNlEgqIVYyppxNdlKMvM+VSKRhHGGqKZFC3/nHcz8XjxueQeT1LqpEmlYCKQtPpDZhGlHKQRWyV3oiNbTknurP9+SWSVz/2BZcdNvqbg4zCtr6DBSnRPqpe7p+ETfX7pNILdEnkfrogyNc/9pjC4gVLj9J2wz5WYoe5JBghwfd0lg79Frq5Wy6KiC+O1vwf/5RDDtjRPCfv38Y//rze43u8qge6nK2gwVDBVHOFhxAzR27Bq5EUrqz9Y6SSvmO77sEqE0mvm2UyqHXEeoICQSHp/C8IZaNOpjHjQnq3giJ5DXpzibX1cV0a8oDaw0KWQ4er0QKDm95NMwiY6ArkUaPenfidUaRX5rfWm/Fs80wrW9YK2fLXo2nwuSkAF87kruzRe/PDaMZk3QR48wowe77UWNtP0yFsHXoE7++GzetzH7dNBl9EqmPjqHXDIeveXgjTvvajXh80zgA4Mp7V2vv0x4jkewQC09MyJr2KihNzNz1IokU5ZBamCKGX+pyOZsKoUTiZyf2YUwOwCiluOi2NfjTgxvxxJbJ1j+QIXhARYkFmxBBIgG9p+ahSjlbnHmmkQhL8B/9feKlfRKpg0hUIoWNtW3FXNYEEonNAZsTW8n7vFrO9nr/D2mOqi1QSmERvRukBkaM/YN9J2jVrHWTUOnlNLX3KTiu+i1c7r44cp1R5NeuqkSazt6vqqhrE50fzCxg6npOqSR7JYkUn9xTUXcznvttNB0ISvj12ODv/uH6RUyJtG7bTrzxx3d2coS7HPokUh8dg5nLYTL+5dJ78cSWSfzbz+8DAFx+2xPa+71OIhkhve9V/P7fgC/tC0xsirxFetBaO1zOpiI2IGujy0VHoZWzNXRj7ZAnEv8svk+NVfl4JnYuiQEFFRlHn1iwLdndDOihkjYqiTBOgvUOARaaH/Up/W1lZzWZOO05xJBIlAJ2iHwkxEad3xMm7Kkx5WxJs8I0XzBViRRHIhFHdn9e8tQvuzOotiG7s3k+sBnz8Tv/JADAk/4e4iqj1vtd1BMpMuGbrYtqUuovn0tlODOFUXNFgVrypXVnU700Y0rxGlmX50Xi1pj4RenA+Y+1T+JN9Q/ir/5z9WtyQVfun+a/jD2wLYWB7jrok0h9POsxUQ0CwwL0TM2cO78O/OZt+gHXYETKN/rlbDPH/ZcC9Qng7mhDAasHV82wj1NSlw2BsOw77bkU7s6mGmt7FCs3T2DDWFBu6jASabTSwAv+31/w8SseSndsM4BRJQ0tIJRIsJGzpZIH6KUOZ9Ic3O21crZw4NtE6mjqoaMnkaBEKobiAGIrxtomHMT5uJ3WnkhqOdsTWJbmqNpC4LWS7Il0zL67icfENcu/RvVE4mSuSwI1WF7pjJv5QVqFOjfcWnOypYcQWQabKQS178CsZjmeoX8PzROJKuVsyjVxY89chRc+qyV0Z+Nq07V0Ef7mHwVObRdzLLgfXCiu/69cv6lYM/TgcagPU2HoetgSfEMqQD8oD679G/DQr4Cn/9r1Mc0EES8HE7KmPY/opFYJmV7pEGY1MdaOjXnDBpSpl7N52mNNieT5+MCvHhDP+We54t712DhWxc/ueCbdsc0AvXLYD5QXQUB10O5z4diWVs6W7zUihhC47MDPlUimqtUkQuMLmdq3JHz7mBlUTw/uiQRgEDpRZBHTjbWbeSLJNwo0+3ImtUwmjkRaNCgJbLs+3qVRtQf5XRJxHxZLAwCAPJGHVTfrg7QK7VBNmxKOvQQKSXIAaO5fqn7mhQemN6gZwFhjbcR3Z9PjsujYM1fKtlPORqX6Wo11gKAcr9rwgGGpLFyidF7sI4o+idTHsx6cCAiTSALVsS6OZuboG2ungBaboqmZpDDC1WzqsGOJsIZeUtPdcrZQxsunmKzKuc3L2UxWhKnzwnQPLR4sDpfy7LslaDAjYa5EMp6IEZ5IlmIMHswpo4mXuO/VsqOvMfTKetMTSFAiDRBdrUAsy3Bj7Sbd2Yj8jGGFVRZQy2TiSCQcdKZ4eMCTP+7SqNqDUCJRIpSmHqJKJKNUqOFDdY9ZNCTBp9BJpHaVSCbcvwoyJ10SEDTciCOR5HjdGGPtzPfaNsrZKIAcK1kOG2r7FDjyM9eiXpyf1gh3ORgchvfRR3fAA/MCSTgoW07864YhokTqk0izR7jVPXQlUuabZpuIlLO1Mtaud5lECpezKcFKw/c1JRUvZ1N9nkxThKl+ASZ7aAUmkyzwsoJyNkCWaeRYht2wrzcKKjsnuVT3RDKaeAkHvUDkXgsTqn10CKGOkEAwjQYRKnkhxDBjbU4iMWIr1HpbBVHK2cLl+llAPZzGGmsX52DCmqP/gCFQx83LdlyLk0iKEsmkezRc3mPC/O0AKKW6511TJVK0C6MpMGquKAi8EjmJxJIaoeRenBIpc2FVG0ok9Ro3hgKpuT7WTMi1iSSsrX0E6JNIfTzrwQPzOZiKv6BHJMCR7mw9Mm7joAYadpRAVFU9BsW4TdHMEyk2G1YNlRJ0uTtbWDbtKF86J4/UA3UjJiuWJUwNDuMgSCRiwWHyrgYJ5j3PsJuaMRVggaEH2V3OYYcMw6aGjlgSKfleM/qz9Bo0Ekmu+aVQORsljvHG2klQjbXDnysLBF4r7HECuV61BuSTcFl1hpDd2SzRhapBgr+BpkQyqZwt0mxlVyGRQpUDzbzKTFYiGRonUAoQwjyRksrZYsaeuWI5PN9j1kYt2Z6g+q2pa1AfTdEnkfroCDJfPGYB36eA7+OjucviL+iR1qh2yASX+L0xbuOgmkrHqNCIqkTqkXkfKWdTHseqG8KtcLtazqYHAg2PaiSYTXh3Nv0ak9Az3dkUfwBYtiDruK8Qz7D3DIlEZXc5h6mo4mT3xiDuew1l1TVPJNP/Dr2EkPoRCDLwg6FyNkpsqUQyoRxoGp5ItrLS54mbeZOQwGtFGlTHwbXy8olBVgKqIXidEUUeVyIRT7xv1F4U/nubMH87AAqqEXdNY3SDSSSTk03CE0nxg9MbnphYzhb692PiVqIkD0hClUmVFDs6rF0ZfRKpj2c9PEqB+mTyBYZ1dEiC1VcidQYtsp8qIZP5ptkmwkokdbONPZiG507awRdNlpx7vg/HVkgk9lhVHzVcs4gClbgwfY5IJZINx2ZKpJAnksk8DIAQicQJsGBObR43+OCkqmEOe1Xw/yb3mulzqaegfveKd8ZARIlko04N8URS12pFiZQ0K9RyNgCZK3v8NpRIt889Rz6pjqY+pnZBlHI2qUQqiPc54W7UPbqLKpF8j6Ko2k+07YlkgJJQgalKJCDOEync8CSmnC3rzxMpZ2uuRLJiKg0AoG5LJZK5ZgRmoE8i9dER9HKC1KeIbrYqemTjddhn4Jn4fne2GUJVIinf4ZNbJnDnqh1QtxWTg4BmUEcd+xnCm2/a/lphY+1QsGJrnkjBtlWpy5+pm1RCgJASyeDFUfUogWULsq7Rw0qkOvRSvJ1lg9dvNejNscA1rERS7lbj/w69BI1EqrOXaNQTyXIUT6SM91R1zNMsZwMAv55xeRhtYawN4NaFr5ZP1L04a1A5buGJRKRqintOGaV83EWVSJF4pCmJ5LV3XUo4ZPeRxPdMVSJR5T7VjLWVa3yvgbfbV+JQsgo2POxJtma/P0WMtaPrtaUpkeLL2VyNRDLzb2QKesMxuA/j0cu3WVDO1oREcqvADZ8FxtYCr/iese2WOMNeRQE5lEFon0SaEeoqiSSDjlO/dhMAPSgwmSBQER5lyxKZNjbjjiLSnU33O7KVe47zSWWVRDJMidQr5WyADBYDTySdRMoRN+gMbfo8p7JERoydEWBjZZPXQeV7dZiEvslBx9SW0D2JGE8kmzZgEf079ixH+oJknVDSSCSujmokZvHCJJJXn4KFRWmNriWCcjb+OD6OchwHT/m7Yz9rI9AwRwVO/agSiVoOXGrBIT6KaGAchpWzRfbxXYRECn8OtwaUdwDFudG2rRkrkZpZfZi6r1Ll7qwndGc7fvwavCX3cwDAjd4RONl+EJ+tfAbAC7o7WBXhc1xM8lO1/QjK2aLXNOy+J1K76CuR+njWw6etSKQ68PevAA/+Alh/b/cGNk3wxbGKQGJt9cvZZga1tDHm0PD0Vvl+ryiRwoGM+jw2cdrtri6aEpCCKoNyPap1Z+OkzDM7JNkXV5+fJVTiyNRAkUMrZ+PG2mElkllfbwSVehAIWpYlSo/42Ktutj4wTaEpkRiJ1MwTqUfWm56AOql9N3geZ3SuKZFMIpGkJ1ISwln0rJVIqsKBxHQ+BQKlaZ2V0xplJaAS1Wy/sQhBjY21QJgSyaS9KKJEMliVOQ2Q8H246SHgS/sCV7xTf51S4KFfyucZ3L/Ntn9T13NKZSlsI8FYe3F9rXh8sv0gAOAfyn/o2hhjESFNY85AiqLQceKVSFSJR/n93Uc8+iRSHx1BTxtrU2jZiiu94/UL1KxHM++kjGGzxbHG6vRJ2iVIuyomNsrHMZmrXilVUhGOVdSnsQRMt70UQsEuVe5H16eaEmn19miJg1HZX+gydVMDRQ5BIlkWcqycrR5S85hOhN29ahsAYGfFQ40TYMwzo9Yw6FAXhvq9CiVSslrAtC6EPY3IgaMe9RACULBt2ebaSBKpkagEDyuRaMaeSIHCgY02gUSyLYIq2GczhESilKLucvN12Z1NI5GYosGoEqWIt+GuoUSywvPilm8ACBFGALDpQf15BvdvsxjRqLmigELxRGLG2hMV/TufQinycxYyTthEPJFilEg8tlXK98MYG9pPPObdXvuIR59E6qMPQGy2ZVrAOhqSe6uBl8HEDFci1fpKpNlBVQLEeAioQYHpBIFEWIkkH8cFMuVaKNiKy+h0EhHlU6jTYIsK0n4528ygKgNUY+067S1PpEotWJfjytlqhs0NDWrQy0mkkFpA/eb75WwdRByJFKPqGbTrBhlrq8o1dohrQrREPJGyJpGoVEeRhEU971gy+28IiXTto5vFOumDoO7xzwBBeBVhoBIpnAzaVZRI4c7DWuKvSfka9breobCZWt1UJTulkuzlJMoTG3dqcWM9xg0n3Nyn62jHE0nEOw5OOWg3AMCCwbx2jWcP4OtzPwpAep31EY8+idRHR2DmUjgNMMLFhSUy2QIaiWRuaQT3ROJKJKvviTQzqH/ju38E3P9zTWmnbqS9IgwIcwCtlEjbxqb0F7pazgZQ6oaeN/9x04y1e1OJZEc9kXjHIcNJJNk5SZbCFASJZO6aHUsKNFELGHVA7XXEHDhUJdIl7qn4i/dcTM07xKByNuU+zA8G/29UEtfHcDkbrWVrVO1TKo38E5RIxZyNKmWHOkM8kZ7aOhnbnc0iBDVqshIpnJzpfSXSTSu34qKbViZfUNkhH8fF613xRZIEaTP1qFFzRYGqROJkkQNPSybVaJREilNydhVtdGfjailqWfjIWYfgv15+KP7w7ydp1zR8H5P2XADyvu4jHn0SqY8+ALHZ+JCeGgJ15UCddXeWJuAkUl2Us/WVSDNCOJvyu3dFysE4TFdocESNtRXj6piDadhcttvlbOG52+p7Ns8TSY7HZAKGgsq/NZHy7ppqrA3zyVJLPeBRvTub0UokFQ5rFx5WCyjz54F1Y10c0C6OSMluDUQ5hHzKfRPe0vgQ9t9tRDHWNqg7myCR2lciuRmTSIGxNlPxWPFKpFLOVpRIGXeTY7AIEeNWu7NZFlBjSqQCK581KqERPlTvAt3Z3vjjO7FxdCr5gvJ2+bgRc103iGCFIHWb7D+mxo+qYrAhSCRf3AE2PNRotMzLivOU6ybaIJFk0sxBKW/jjScsx9K5emlew/XhWcF+nEf/HNUMfRKpj47A0LWwfQglkh2VaaobkcHEDK/1rVlF9txcwstoxGSvktr2mkwQqGg2zLgSGb7Rrt3zZcELac/7iHfD9JRIppFI6ndqqmSdQ+/OFl/OZtr3G4baNjxSzma0J5JaztZaifTdG59KeUDPHlTq+hpz3UNrQRRi6eoLT8Yv3nE8ls0fMEiJFEcilbVulipsEu7Oli2JBIqWSqRSzpKeSIYokVQFFQ0pkaqM8OLlbJW6QcrHbjfI6BLsZt47KokUN9+7QQQrc9v3ksdqqhIJConEz0M2UyJ9Pfcd3F74NxT8KMFrejkbpVRrJJIE16fw7IBE4uRwH/Hok0h99AGIrKSnlEMI1HuDRHLYocklQQDW90SaIWI2wiQlhukEAUf4kBH2RAob4/ONtlZk/mBdLmcLe4+pGbvPvvzQyI8b54mkKb0oPvirB/CFqx/LcETxoDS+nK3OsoxczWM+icSUSJSI9TtPeqycTSiRQt3ZujicZwvGqw3UG/oa84UrHxQLow8LBy8ZwXH7LoBtEZlYytpTJpZESlbrRLqzZa5EouAzOqk720DeESViviHKGd+nitrREushIUQqkdhaOVUzaL2JeCKZ8X3OFmGFnYaqotZsxJFIXbiHLUlQWGH/JgWUmhtD8vnOPZEceKg2PLzCvgWLyBheUP5rzM8YRiL5YRJJj3eS8PcntsEnvEx11yBe00KfROqjIwgfUp0EqbKxaKZEUrMZWcvZm8BhPjI1K8ho27SxC0jEMkCMEilJcdSrSqTwuNWMmOv50kSUH2zTnvdhli7crU15XMhFN3/TSA7VB2nFpgn86p51+N6NT2OqZh6xqymReDkb1dU8pnW/C4Mflj3F064nytnEfUhkt60mh5xTD1mc/pieBWi4foRgycMVSiSqEByORQxSIqmeSEPB/xtl8fKbXrBcuzx82M4/c2OKg2sN35eH0yRj7WJelrOt2bw99ppuw/P1ktmaUCJBEF5CidQwiETi+2iOEY5Zz98OoSmJpMbrnFDa/blAbiB43BUSSZ4h8jGKHRUmxpBqF0WuSnbgiQYWgNxfVTRViHUDLRq0UASfA0BTJdKNK7fCtXRyuI949EmkPlJBq25KxoEtPh61cCBZp7+nlrMZvAmXEEi/y9awfNFgI3BjEUciJRyiTTdN5gjX3ofHrZIwrk/FRsvrwtP3RHKbPleVUnxpKaKG9zq/xonWQ6JbjilQSbm6Imc3rbsWhZ6Zy7HubBU/CLBybB6YRtKFIcvZrJjubAavgTxzSkiyEkmbMmbNn16Fp5Y1MOTgCuWGr4TGliV9tmjW+3+L7mzhuCv8GWnGSbDAE4khsZxNkkh+wwzljOf7wjQ46M6mGGvz7mzE4O5sYq6Y8X3OFlYzEklVH41vCP6/7FjA5h0Wu3APKIv26fRmDCC5LNPEGJIqZadc2WsTHxWla29cmRfJmhBroWinlMq5Y0WNwVW4LPbtk0jN0SeR+ugIwmuHgetiU/DgyoOFUTqkv6lmNgxpORuHIQTjnLIVEinroLcXEVPOlpQtMt1wOAlhMkNVmqht313mr5V64BXuzhYi8tT1hGewz7LuxHuc3+Jn+S+g0TBL4aOSjurYTTTSVD0C7FB3tjzpsXI2ENEYId9LnkjEbkuJZBpZ2qtQFTG8XCMHF2u2TQIwWYkkVYOCGGiUBbVIoLNILzlwIQBgM1kAICj3zBLqIc6y4o8fjkUEiZSjZsQvByweTvBEAsoIDpsDCAgao4y1eYAiVDi7Bokkyu1jOoRpJNLEpuD/w7sr62sXvgMlnvm4dRG+mftm4qUmxgRqdzZ1fSwrSuq4Mq+m5F43EPHWDJFICAzCATQtZwOAKY+V8RE/omjqQ6JPIvWRCkxk15vBY4uEBxs/9M7W32z0Bom0lG4GAGzLLZUv+n0WfdrYxYy1Xc/Hey6/X3vNC30eNXtKIbP0vNNf+uVs7XsicaiZsOLYk6kMa6ZQlUjq2E2bL5RK2TqIhbml4PAmSKQeKWfjHeZ8xVibzw+zy9lilEghokJV4RmlcuhheIpRcsOSBqrcJ4kqobGtkEjUFE8kYkliYNNDGKkGigtViUQIMMjEFzvJvOBBXLeqLsKnSufPBCWS51PUaHDgf3jNFpzy1b9hrJJtHFPK2RqJpHoiTdEg0TLI1CZGEe78UC2USGaQcrMFN4yfQjH6phavs1Ky/GBbJH3HECIzXmrfl3ipiebawZ6jd2ez4eMTv71fXFOMUeiQrLuztYgj1QQpbUEilX2FoDT43Jc1+iRSHx1B3EIYNus1Gb4nPZGmUMLy6s9x+wnfC95UjbUN6RYSh0GmRBrPLZAv9hn06WMaxtoX/PCOlAcze9y3djTyWiN0v6r3r2o+6FpcAt6tcrbgFERCwYBqnH3wkkBp5ytZ93x5c7rjmyZUEt0zvFObZqxtWzjniN0jJWFGHYxioJre1kNjr5rkURKBcqC2eTlb8r1mWjlkr8L3qShParBypBxc1Jmi0Vf8MjRj7clN3R1oGCqJ5MgD9D8//KbIpUS5vmoFhBPJ/DAkD6dJSiQKiI5nucoWTG1di8vufKZL44uHr5DtPtWVSJMICJpBEhAWddegezRczraLKZEmaSn6plo5wOMIYnW3nC0mEfm/rzsKOTuqBDQxJlCVSFwV6MDDlOKJVOwJJVLYE4kmeiL9w+G7a88rColEM183zUWfROpj1vj2X5/E4Z/+c+R1A9fGRHzl6kcABOVsHLzLmUYiGbyYlJic2rUH4FL2ObKW3/ciYhijJAXJRM01MghQETf0sFJQJWmCAILJxdEFTyQl6yXUGKFggJMYHzrzIJTyvFuIHDOpT6Q3vhlAVa6pBJ1xSiQg0vJ2/mBe+CBwIsaoEo0YqCoBHvTme4EA00iB+HILdcY0erV+1jD4VFVbShLJZ4c/qhDUqhLJGl8PjK7t8mgVxCmRAAy4gYGwekQlhIjra6wsOWsSyVe8VpJIpJP2Xyh8hk6z78UdxX9Drr6za2OMg0+leb+qRLItglOO2BcA8Jz5wecxar0RxtpsrvSaJ9L2p6SvkQJ+704hhkRSuxXyz2853VMi+T7ivOvOPXIPPPKZM3H5O47HcEESFGYqkeR8d1mnVhu+5rGWI1GiLNysoOuIeGvGdGcj8Z5IeUdfj2o+EV1qvXpzc/RnM/okUh+zxpf/vKKtg6rJWLlpFICs/wWABmvxqClTeoBEalgl+Tn65WzTR3gjQrKxNmD+wc6OWeXDigZdiUQFQdPgRGrMd9IxqFk7rsYIZZA4iZG3LdH5Uc16WfVsyzTC0ErY/PjHpkAaTQYTpZizhZEwJ2JMV8BYiultI9SdzcQgXUAlBex4Y20Vpv8degWeT2ETnmkP1rg8XFC27lAlS+1YFqqsvAoAsOKq7g00jDhPpAQQQKytDRJcmzWJpB5Ok0ikUt7Gngvnaq8tmXg07aE1herl5MFSurMR7L/nEgDA8hG2Z5pEIvHYNc+6szV66DBcGQW++Tzga4dEMmGWUBHGlCSpJZv881vtec51BE1ipbxj4fh9F+CB/zxd+A+u2V42rvkDhVLuqyh7SQulkWVKdzY7PhmpquzDnkjvO+1A7D5Hqjvrro8q2xu8Whl9xKNPIvWRGkw0jEuCowQIHDwbr8FoEikYm+eUpPw+424sPYlpGGsD5vvFAFEJdTNPJN+nwreiRroQeKnfN1ciUX3ecqWUQ10MPfUnDKEsZckArMZkeuObAdTDvuaPZND5AggFVezgnLOJCM7zpAfUPJAH08BYWy9nM5p44euKpkQKeyLJx6b/HXoFvnIjVkhwcCihBkp5lz+5ZloEKBPFe2VwYXcGGYcEJRIH90Q6zbob/2DdJtbWuh2QSJaXtRJJHk7tBBIJACjfBxhatUlPGz4F7ARPJE7m5X2WxDPpHuXzvMCarTR66DA8uUU+ruhKNFskDWLmkKZEYiSC5XSvnC0mfgzDsghsdrO+6v9uxUGfuCbdMU0XineZ6okU7vYYRpZKJEopxqbY3z7HG8JEy9nC8Q7HsvkDuPUjp2DPecH93PB8VJgS3zcsSWkS+iRSH6mhhzgk2LyluXJL1OJIJFM9kbyGaMftOQNSidQnkaaPmHr2MOmiomGycS/i1S9hdYZGhCmfv96NcjY1W8R9Pjz9b8DHt9+mP2HBVW/HZfnPiXsWAEh9HFsnatg0Zsb9qauP5PwwrZwNUIxuWWYub9sRT6S64XOcKIcKTv7niQcCP9EU3wioxtptKJGMOqD2MDzleywzY+QBUoPP1h1fMX0mhGA1Wab8dIYdzlQSKR8lkYDgXvhB/mv4H+d/gfGNAICGHVxrZa1EgjxoDhXzydc5umGy1cbBPE34lMIiMtGoeiJxEsnxeXc2g9Z4/r0JEqmHlEi2Um5U15NEdkzSV16rHPh9xf/G7kIsA7St2o5wqF4DWHuXGTG7Eqf8++mHAgjK1+wWJJGVYXzzk1tW4yc3swYrDlNpxpWzQVGnhUAIQTEXvN7wKMqUkUi1PomUhD6J1Edq6E0lklxYYtuHmqpEUoID3y6a05K4FxGnRIrIjSkOJavxGvtvaBgmRQ4j7uAZJpbUa6gSBEklUpfK2bgag4Y8kVjQftCG3wEADrdWa55IqE3i+Z+/Hsd/4QZMVLMPwlSSTlXCmFfOJss0eLekvGNFPJHMG7cEVdQNVClnA4ISJaOVgmKPVLqzUU+7J9TRG12a10PwlPVsSz2Y6yXUxPdOQ1lqx7bxV+/I4EmWB3GhXCMJSiSCn7zxKPnCaGBIXeckkp+tJ47aDfKlhyzBCfsuwDf+8bnRC0MkkkOyJU9V8suHJcqrCSBIJNtn3dlMItz9EInUS4oKNS4INRvge5YbW84Wp0SyFSVSyjFxmySQE2KR6LWfAH50KnDtJ9MY1bRAlS5rZx65t3hciDHTVpGlsfZ/XfmoVBkJJVKIRIIkIElCd7YC80Z6ZkcZFdb9z++XsyWiTyL1kRpMzLonQXSjoj1azqZmP+ycPEj1PZGmjxglkq8EMfuR9bir8C78qfAxfDn3fTiP/babo5s24lQk4cOoqtagygGrO8baKokUr0SqcSNT5RCkKpEsJVP56IbxFAY5Paiki1bOZuCaGFfOVofuiWQ2iaR2Z1M6aSEgwXpDiWRJzw4gUY1kdGleD4EqazzvrjWAGrwYY20AyDmWKG3ItCRInS8kXhH14v3nyyfMH8ZjJJLtZqtEUe/VwWIOl73jeJx31NLodbauUsrTbJNhYaK6XA/mSd6xhOrBYaWCRqkFe1mJpJFIetzNS9l9GnOEfeoGWcbH7xfLBmosLlh3d6dHqqOeUFrPVIEc3BOJg9zx3eDBHf+XxqimBa2ztkLoFknz+7CVZ1LaEBYHiUokpZzNihEJAJiqyfi33C9na4k+idRHaqAG7aVxUNdwWc4m2ekq7SUSSW64tm2jQfvlbDNGLIkkv8fPOT/BIiKJivyqv3ZlWDNFXGctN/SaqtZQs1CCSPXq6dWnasba8UokToRphreqsXZjEi+17sFzyZPC9DRLuAlm2qaRSHFGkwXHQiPsK2QwiaT6rATlbLoSyWjiRevOpvjAKB3a1IDeqANqD0MlFqdYm/ASqcPz4pVIOdsSJquZxgDqfIkBAWKVtC47CDp+LVOfAV9RIiWRYADQyM/Vnjte1p5IVDPv5wfNYs4Wqgfb4+VsBt2jYSVSo4cOw2pilH23PG6RJucJc6i8Xf8dlgNsfCB4fPt3Oj5UDUmEw9cOBh6WCcecnWFZbAvQOJ9KAEU0P09Y8HUCqsuIKpHCnkjRpFkYpx6yWDyusIYKtN5XIiWhTyL1kRpMOzCFYSlBjMPaVboaiRTDVJvqicQWfY8SOLYNt2+sPXPEBOG+osQZIvqGQj2z2+bGKZHCga52OFWCN3FwAo0l1zoC8XuJkJyTBF8BSuQ9WVCyYsurj+NH+a/id4VPGbHu+JoSSfFEMpCMiS9nY0okwpVIBh2MQgjab8sDHoUlSPQcXLOJF5UUsBxJDiTsM0Z/lh6C68r1ZRLcWLsKz+Xd2fTQOGcR2aEt03K2ZiQSxatXvh/41Zsj73hO0J2LgGZa4q4qkZKIMACoFnfTnpOMDaF9HyESKdizio4tVA/ctNyocrawEqmXDsNqDMCU4DxuiTXWPvJ85fqK/juIDRx8TmpD1dBsffjT+8TDXKhtbnjNyRJU3e8tRxAurcrZFpAJbW3tNlorkVRPpHglUikvz4BcfUr7SqREmDNr+9jlYHo5m6VIkeI2pVqcEsnUTI4vjcFti/TL2WaDFuVsNYQMQWsTaY9oVog7eIaJJVWtoZZ6VImijkhrLlFlU+cbexKJpNSxz4OUjS/1N8hrDCBqEpVIBp0vgFBmzuLlbJZYP/Is89grSiRehiRJsIbRY4+UJ3Gfm4SyI6NVVT0EtyHXF35QKKIBl5fRhkkkx1Al0skfBgBU7UHsSbbhgNFbgCevi/yYr/onZUiCqd5CzQzK68UF2vOsy/DUNcaDhUmmRCrkLKF64CSSUcbafC/PDwX/3/FUuv6GnYSazGOJujtW7QAA2IrJ+fn1j6G+14uAE/8DKLFSTj7HfSW2OPbtweNFh6Q77mbJNuW7d8JKJLsAU0BVJz4i/fpalbMBALn242kNqynytiUJIq6eCifRY5TXYXBPJECWs/WUl1iX0SeR+kgNJigCmsFWlUjgSiSVRLIQCXRqZrUSF2Abrg8LjiVbdPeVSDNAjBKJKh4lXOLKQepmk0hxSqRwyZdurC0/f8VTNtq0Mtiq+SXf2BNIJEshsuaR+O+dGED0qsodtVTQRGJdKgNYdzbHinRnG6+4+P5NT2HN9uy/2ziIcjbmkTFIgvv1w84vDCdeQqoM7j+RpEQyjYXsUTSUw1yFdeApkLpsKhBTzia6tWapRhalxiwuOezVwcuw4CCZHKB2EVPsc2JiU4oDbA69nC35+JHP6SoB281WQaMqqKgSIxZzNlAYAQDYtXEAFNsmDVImi3K2Efnaij9lM5bpIsZYe9tE8N2qhN6t/mHY8apfoTz3AEz6XC1Y1n7HlQ9vxuPb2P3hVtLN5jRLtikxVESJZCd3K+w61O+HWEIhXmyhRAIA567vpTWqpsjZRFocMLP7qLE2FVUn0fZ4AfIqiUT7SqRW6JNIfaQGA89LGtRMQFzL0IYH3acCMJeR9iWJZNtEluX1SaTpIyaTRBUlUhX6nLBMUiJRCnzjcODTc8RhJ06JVHN9vMG+Dt/PfRUF1HW1BjtIudRCzVe2iLTmktqGt4USSfXGmJ9AIiUaW3YRSUok08rZgsORrm7I2bKcLcfI9a9fvxL/fdXjOOWrN2YyzmYI+5WoOMe+3ewSMKEsYePmihFFLaLuo2YTYr0DtdsmzzYX0BDzKFLOppJIJimRWDdLh9YxiGTywnZsrKcLgyeTm9McYXNQtOWJlLd1Es82whNJmvdzFB0LGAo8VCyvihEE5MXGMUMMrHlCbP4+8rVeMdeO8URaOo91wgt1U/YoxVevXYnNFfa34Z+Rff6f370BH/3jyuC1nauBL+4NPPTrdMbdLE5SSKS8wSQSjZBIwdjaIZGyQs5RlEi8fHNig3YNpVIwQBK+74Ij154yK3U29txnAPokUh+pwbQDUxi7DUsygGfca0pHNtf3oxJTUxcTKkmwnCWVBFn6HzTDg+tG8d9XPSZk4UahBYlUCZWz2fXsu4EJTG4RbZ1x1w8ARFVH/LXP5X6C0+178Br7xpAnkiyNrHmQxE5ac0ntoGKx+y+BRMopGemFGIu9xjJCiRTviWSiOjMs7847FuohY20OE9d0XzmY8gOeaMcOs0vxIqQANwRNKmfzaabGpbsKXKX7Iy9TC0ikeJVM3iaocQVqQue87iA0Phaf2H4Dg0gmByoN2YUuS5JdJWOaKpEcS1P8Zl/OhliiupCzgfwAUJgDAFhERgEAO6cMSd7xWCZXAvY+KXjcK+uHpkQK7jm+/8hGOMEc8n2KO1Ztj3ZQZHGEDwvjrqJuq40Dv3lrSuNu9reX3/14JaSSMYhE0ucIEeuMySSSY1kyluEkEiAN1RF8+7zjbFL5oKpEmhJrZvYxpanok0h9dBy8daWJBw4VaovNAvP+UH2QGp4fo0SaNHMTFkokAssisjtbwmE8a5z7rVvw/Zuexlf+vCLroUTBslefb5yP8dxC9pJCIlF9TtiN7JUvAjWF0GKBVyNGvaCWuC0iY6HubLJTYcPzZce01JRIajlbEOiRBF8BNSO9n7Ux9hrLgL+HukQYrUQCVZRIzDxT8UQqEEMOQ03gK217uSfS+xrvku+brMakIVUGl+GrSiTocybufu5jemiwbps+leRQAY1YRTIAOLaFqlAiGWSszeITCz7mkOSDzp7zhzBFGUGZYUk+hVI+28QTSS2pBUzrzibnhvBPGQ7USLsxEmmqbkjcRRWVb5GVtBneCERAM9Zm3dkEiaT/LTyfwiJE+pbV9XI2l1rSGD9ttOk5ddTe8/Qfyw3JJzue7uSIZoCEcrY24oFwZ8tuwbGI8MoS3lgA8NiV4qFPqfB55CrOMFRPJF4CTAxQt5uKPonUR9v47b3r8NHfPhRpDx6G0yMkkjo83ulJNU2uuTEkEmi2cvYkUJmZcVRjbUOVSByPbzJIxcOhlAZ6JNg8H1i9VbxdhW64bjcmzXFMVgMv9ji2O1tDBgM5uPo97cuDVN3zpTqoK+VsQQBCErJ5jteGN4YBvmWq4sjVjLXNWxMjxtoxnkgmQ/Ur4YcKwg9MAEpe9vMhEby0SJACnEQq48+PbMIHfvUAqg39/jWqhXiPgq93PohQHxeILGcr5vU1PmcTGRtkqURi68rOqosvXvO4JPiR7BEHAIOlolRZZ0gitO2JZBNRUgtkTyJRtZyNynEPFtgYmZfZF4qXADCkQ5vWYcuWsWymSrppQE0ksTnreTqJxMlejzISiSeBJzcDf/54YCSOYF+ohhuipDbu9uKkA3cb1p43BpbIJxsf7OSIpg2tOYlirN2qOxsA0PxQy2vSgG0R2Z1tQDHmH5KdHimVSiQSOdsFiFMimeCzaSr6JFIfbeN9v3wAl935DH5597qm13HDOKPLCACtLIArkdTApdrwYkgkmLkJK+VsTt8TaXag3GTdhsdayl/9wDPy7VAGlYCa07VPDbyYBNeNIbgspWXyu50/wFPmNBUScIK6S0UWKr1yNm50aItDEfGj/5YFH47XmsC1G9l7VKlLn2uwsTalstMNP9TlNU+kXiCRKAjRy9kuf9eL0LADf6FBP/v5EIsnrgcuZ22pI+VsNbzzknvw63vW4ce3rNJ+LI4U7mN68Fgbag/S66iAuiAKLDvGWJua44k0VvHwf397ClsUbmU+kue55eQUT6fs4heqeSI1L2czS4kULZkFgAHeDnxTcOhf7gdxghFEr9oghFiyfMfE+DUO6viZnQA/U1ghEsn3KSyiJIH/+nngtm/JH4fdPRKpzZg754SUeOrnrY52bjwzQWTucGPtNj5bRuujZSlljsQCjnxd8EZI1ZvnaqqEcjbVE4mrN02wSDAVfRKpj2njqa3NM7vcsNp0JZJ6nltEAn+VnVRmB6ZqXvxCY+ImrKhncpY8BJpazmY0FE8glymRckR+jzZiAsSqIYoq9e/NNs+4+zDv6Zvifqsvj/wODxauf2yzrNVvM8M2bahteBlpS2ICsQG0F5zYWQdg0EuQNCWSgUuiONSpnkjswMmNtU2G6lfCDxX7LByENRCUCwz4U2b6CKmtkCNKJBn4jpb1e6FPIs0e3BOJqkokpZzNCrV/ztuKkiFTJZLuyzPRgJg773N+lfhjTi6vKKmyI8GopkRqXs62hi4Wz3OZk0jx5v0DeRZnLTxIvJaDa0bJqZpQshxZvtOL5Wxe2BNJL2dzfQrbkvcyKju1X6WSxamjzZg7Yqyt/lx5eydHNG1o+6VqrE2SE4njNEjaWF4t1lc0bdhEdmdzYceWhoMCBZ4Ya0uJ1CeRWqFPIvUxbbQih3g5m9FdcQDNaWIEwSKxE5JEqiQqkcwuZ8tpSiSzy9mMBJUBClci5RVFhoWY+V8zhURSNm+2ecbdrp6rz4uh8lrxmPr6gXztGDvEplzONlH3cd1KFvzFzNtSm6aOuWq2ARgQ9kRSjLUNY5EoVUhRpTtbg/J5b76SUS014SpBmxCgGJjdziFTZiY0tH2EHUzbKDnpk0izByeRfEiFkdqdjYRIJMdWDqhZdreiuvdXWUl05Unywc128oqSKkMlEpT9s2k5m40vNF4nnuf8rMvZEPFdAxQl0vkyCTMXE2bEvqqaxLJFyR3cHokJ/TglEiN5OVlApScSISSRKPJhwYUd6bqYCtpVIoVIpFpVuS/LOzo5omlDJ5GksXazcrZJ3skMyOSMZFlEKpEo0UrDOQJjba5Eip8rKrnHSaS+J1Iy+iRSH9NGqw5DjiUXdpOhLpScJOBdiQDmm9Ar5Wy+JD5yjjwEml7ORpqYa2YFyhQ3nuKJlNNIpJgAsWZIyYwaOLLsSdz96rp6tky7VYUSKQiQU/fXYmPeUfawbpy1X43JlrZr8kwMIHlpgieSiWuiJJGYsbajGmu7QIg0vWnlVpgEP8YTybIIUJwLAJiDKTNLq1UDUqFE4ge95Dlc98xThz22cRynfu1GXP1QvNm9afA8WbLLFTqBJxIrl7FiytkMKAdTExwAUK67iQaxKuxcXqqTMxy/7ytKpCbIOxYeoPvjrNoXAAA5P9s13acUFiuZVU3XBYk0f19gcBEAYAExhERSSRgiS8WNTILGQTPWDsbs+RRnWHfhQ7lfBpfwcjZKYROiNcZREfzNCDwrXn3SUbSp2A6TSJtHFaIiYxJJbdQDQClnS44BXaqsmRmtMUKJRHUlEqUUb/npXXjdD26XsXxSOVtONdYO9uPBsSeAB5OVns9m9EmkPqaNliQSK2czMnBXoA6PG7Kdfvie4rWGR3tPiUSDcrZG3xNp5vClbD2eRIqZ1waXs8WpX2hoXniKWShVyvmALpBIvIMK7KYHnXZMHQHAyrj0AdDXFvVAYZwnktqdTStnU/xIQiVtb/zxnV0bXzsISmSipSYozQUQKJGMONSFYSktpyOeSE1IJNesOQQA77n8Pjy5ZRLv+tm9WQ+lLbiuVCJVY8rZiO1o1+dtpbuTAZ5IfJ6X6wkl9yEYU84GCDKmlScSAJRZy3YTlEgkRFQDSjkbABQCM/8hlA0pZ1NiAdVYu1fU6THG2q5P8fncj+TLSjmbZSFRiSQMuEkXStr4954fbnpZztYTqFoX0UrGSqTwfsrL2ZrEYBahQhmWBYnk+VQokRrUUkikMrZM1PCXx7fg6a1TsqoggXyPUyIBAH77tlTG3evok0h9TBut4nFhrG1i4K5A9S3hnjdnHbkXvvuG5wFghz8uiVRhpBJJKWdzeqc7m4kQJAqV5WwqicSNiLeQRbjHPyB4sTbW3UEmQStnC2S8ccRF2NfJozKgITwLRTmJxAnJlPy1hJG39OKJ685WaLO0yjKA5FWJdrX8yLRyNiCqRMrZOomUN9xcW1UiqaUmhJFIIyhHfIWMQByJ1JYSybx9tVxvro4yjcTzPJlpF0oktZwtRHDkVE+kLEsb4kgkp9jsJwAAdr5khJJKN9ZOViEPFYK1qMxabOf9ql4j3GX4anc2ZY0ZLqokUtCVapDUzJjvVG3Tbu8SxtqeT7GQyIQdJ4de+Z1bccuT27XuyioE2WR1wVybx0n5wfj32TzmROlSbA2ahqjJmqltaY6wJXh3Nhoqs27miZSHq6wx3Y/BXI8KJVJAIgUeTWhUtP1JGmvHz4WipkSKOf/1oaFPIvUxbbQ6CHFPJBNLN1SoTauEgaydw7yBYHFpJJazZX9IjYDKzKpjycO46SaKEzUDD3eKMkYokRS/CX7QuKJwDnZwI3ZTytlilEhxsXdYXaISTWElkpt6OZv0YBLlpDH/VtskUhsd3NKG+p2rJJJpSiRAIZFYGXK4M5LpHdoCNVXwvY4MFPD64/YCABDFE2ntjnLQbdMkWEr4FSaRGs2USAYcUEMIl2aouOGxzTj0P/+M39zTvKtrN+Ep5RrSE6ku7gXH0ZVIjk2wgbK20RObsvNFEp5Iwfc91U45G7FhjSwxorucrxlrJ8+ZhUNB3FVhSiQLNONxy31fJaqHVBKJtTYfQNUMEkkz1rYifmtTNbPX9Thj7XB1gx86wrZSIrndLGdLIpFYbJO3LdyQfz9uKb4H/5v7liBAAABbH095kM1BQt5r7XRnczQSKSMlEuFKJL2cTZ3rIvZNIJHySmfOCfRJpFbok0h9TButy9mkxLRXIOtkc2L8QTlbTJbPxEyOqkRSlQSGmyg+vH4c//e3p7IehgaqEHJujBKJB5P7LhrGJN9kjClnUwLHOlMixdyHYSWSrRIvVCeR6l3yRKIgUokUV87WpieSGSRSvBLJNGI9ruV23rbgwYLP1Gm9oETi8/lX/3IiPv+KwwEApBR0ZxvBJM7/4R048jPXYtKkg5OmROIZ32C/qVbLMT8QwEQSybZ0VcnOqbq4B9560d2ouz7e/6sHshhaLDxXqh/5wccmsv1z2Fg7Z1vYjhFU7SEAFNixqqvjFQgpkSrtlLPNWYp8rmCEEglQy8GTlUicRCqr5ST15Hsibejd2eSxaVAtZ2OkwSCpmlHOxpU83HtNlLPVcM+aHTjiM9fiS9dkS1Y0heaJxJRIIXLOC5NICZ5IXFXtdqNDm9eCRBoLyPScbWE/K/CQO8e+HY66z9YnM53vCCt72RrTrJzNgSfiN5qFEsmngiBqQFEiuRX8SfHqEyRSaI3nUD2RJjGACi9jZiRxHzr6JFIf00arbHpOeCKZF+yqUA96cmHJiZrYXlIiUV8SH3mHoE4NUiLtWAVc/npg3d2xb3/RtEDGky3u4zyR+IG1VChggrU1NUaJpBlrB0FIHOkbViLZqo9Q2BOJpuyvpXSD4woY4jdRIiVkkDhsE0gk5bF6oGhFwGeBaDkbAUAEeWi6Ekk167WULCL3RJpLAoP5muvjzlXZd+4TiCORmCfSH+9OJtaNUDmE4Cgk0u1Pb8dRn70O7/3F/a1/sDoGfOcE4LLzu1qu5Knd2ZSD5QDYfhlSyWyZqAIgWNWYH7wwkZGBONVLqtpSIs1ZhpyjdK7KMCZoV4k0WHBw7pF7aN3zkGGbbbUDJN8XB/K2Tp5yEsk0JRI/LAtj7Rq+dt1KeD7FdwxL4GnQurMFe3o4Mc2bf3C0UiLVu+mJlFRm+oNTAAA5R5//uXB3xbAv0pPXAw/8ohMjbAnq62S1UCK1Kmdj96pb734M5vm+IHobPtGUSGqiWii+LCf8KwDonkgA8Lr6J4IHA/M7O+BdBH0SqY9po1WsxzdW14RsTBOo+5FUIuWRc4LxByRSnBIp+0NqBIp6RCtnM0GJdMU7gcevBH740qxH0h4UJVKDyZ/F4QJSuVEq5ITclVZN8USKMdaO9UTSAxZHIV5oSIkkSpva7DoybSjZdal6ivNEYnN5YEHTX2cbQJxqnkiqsbYBZ4swwsbahBEa/G+Rb6UA8z3g5q8Dmx9JbYzNoLbf1g6m8/cDABxhPS1eUlU8Y+UG1u3MMNsb052tykurmnznJnoiOYpJLD+Y/u7+Da1/8JnbgS2PAiv+BG/D/VixaUJvL50SfF+Wa6gHT5FpJ/rh9JqHNwFQjFYbGc2bkBKp2vBbK5GKc5C3ZUxAm5RKpg2q+Jc1I5EA4H9fdxS++KrDMcVK2lDPjkTSO0AG3/1uw6HvXSWRTFALJimR3BoKTrwKwyhoxtrSE0mFF1KztSKRGqQbnkhs7WZK2AiqowCAXEi9GVaHoxxKeFz6KuCKdwBbVyi/K624Uy+bbcdYO0888f279e6X+wZKpGDcdc0TSV+rbUUwEAdViQRAeuFluG6ajD6J1Me00aokI8e8Hkwr3QhDM9ZWPJEcSy1ni1MiZX9IDYN6Colkq4dxA8a6c3XWI5geFCVOzQoCwyEiN0W+2e82ZwCTTInkVkwkkZLL2RyiByyHj/1NPvFkqQfQDU+kqCrAi8lkCSVSSc8Irac6qWTFqJi6jaSlrxeUSBwNoURq4SV094+B6z8N/N8LUhhda2gd5tTPsOQwAMDu2A6uDXtkgyw7fe5nr8VJX/wrNo1lFBzGGGuvmwg+RzP/LyNUDiHYir/TtEgg5RD0h6uuxBnfuAnf/uuTnRxaLLhyl5Kg9TfPoA8QNhdCps/c84kbPWdWahLyRKq7fmslUn4IOUcqerIoNeHw2zTW5nAsC5Pc3DZDta9azsZLfHjJnQD3RCKGKpF4QtSrdYWonTW0crZ4T6RwOVs1wVibxzL1MMnEv4dVfwdWXjuLwar/GFu7F+yHi5d8DE/4S2MvGxxbqT13worfWoKB/9YVwI6ngU/PAf7fXqm0npfG2gyMIB1CMjlkwW8av6WNaHc2TvhX8Lpj9xLXyaqT9pRI1QzNwnsBfRKpj2mjVTkbVyI1DCeRNCUSkZ5IejlbjBLJBGImBNXHJ29bxvgfAIgn4kyGosSp2sHmOQx5aOAZyVI+L5RIvomeSKKcTb50CFmDEqry0K2CB+kRT6SUy9kUY+0GM9b2Y+atkFKHZMX3+Adqz20/+zmftESa1p1NU/FY8SRSS0+kZ25LY2htQzW91dQNhcD03iZUKAlVA2j+N7r3mZ1dGWcEVlSJdNl9WwE0z/iaqPBVs+rTOp/W5Lr5ivVfAYGPr1//RAdHFg+fk0iMEOD7pVCchu6FoUJwL3Cj58xKq0JKpIBEkjGKG6e0KAxpMYGfpRIJ7ZWzcTg2wSSyLxlXyS/+3Wum2oCmRKqbcI/SELEuytnqMGB0raGW5rOYO7x/Roy1EzyReCwTUSr5buBnedE5wM9fA1Q6sBfwOMlycFPpFPzFf27sZUf+8SztOVfRVEX5ZgJhU58Cfv0W+fx3/zKb0caChshqFEYAACOkOXleN0WJFCpnm1OSf3dprB1PIjm2pZWpVrknUlbNFAxHn0TqY9podhAiRErbvV70RIqUsykEiMMWJROImTB8VYlkpW+GPB04PdbhQPHoESSSokTiB1bLslBlSiVaMZBE8l3Aa4j79cXWfbi68FF8P/c1Md/rRJnfLEiX9fChcrbUPJFkpyRpCB9jrC2USHO14PGP3gnadbYBcz4p02tidzZC4g91vFNeS0+kjAlUn9J4Iiw3IDwzeAY17uvPrAFETCZ0E+Mmeq2cTQ26aeiIGjbd1hDKti/ARFfUenKNC+YHP1wmlbMduWwuAKDClQ4ZK5EEieR5mkfcVH5h9GfyOolEG9nFL5qRfxNjbQ7bIpjkJYQZkkhUWWP43sOJRQFGIg2gBteEe5QfesNKJLfaTfuxmSO2NF+/JDyDai2USBGSya0B5W3yeWV0BgMN/2Ns3JaDct3TOp0KPHlD5CW+9oyDGXInEdVeHdimqjVb30fTRsh7DYVAZTeC5uR5g33/fgZrjKpEqvt6OZt6FnVIcyUSoKuRhLrNb+jxdR8AMiaRbrrpJrzsZS/DHnvsAUIIfve732nvU0rx6U9/GnvssQdKpRJe/OIX45FHdN+FWq2Gf//3f8fChQsxODiIc889F+vW6a1kd+7ciQsuuABz5szBnDlzcMEFF2B0dDTlT7fromV3Nq5EMiEb0wTqhiSy7ZqxNoVHlIVmr+OC/xska1y5eQKX3fkM6q40g87ZirG2CYRXfiDrEUwPihKnYgWb53wSHHb+46UHiGDScmyM+kFg5pviiURDm1x9Styvb7OvAgC80H5YfIaNhX1Q58bZLEgnVAZBbzlxH6EO6kY5W72J+asgkZyipqQao4M4p/Y53OAdBQCwqQkkUvzrximRQOP9hKAqkVqQh+rcT4tobAJKA7URAP0zEIKqFaw9wyyDGiY4AGR34FMJL3bwqIbJjBgYUSoTguqJFM4dhcsDNNR1EqlI6t054PJMOwkpkUi8sfYnz3kOAKWcLXNPJLWcTSYCJguLoj9TGIZlEalSyjB+UQ2q21EiFR1bKWfLjqz2lXHz7344okQKYoVBE8rZJjYB33th8FiQSOzvb0CSpS1onWYD8sKnVHQNBaIJjlaeSDUa+pu5tdh/Z1bge6Cdw1TNlfGTiktfGXmpxJTWO+gwG4uyxqiLqleXpVopQSqROIkUjKkYTm4sOUJ7yj2n/C4rkSil8JTubDsrvqZEUs+ircrZAN0XSSuR7KuRIsiURJqamsKRRx6Jb33rW7Hvf+lLX8LXvvY1fOtb38Jdd92FJUuW4LTTTsPEhMxIXHjhhbjiiitw+eWX4+abb8bk5CTOOecc0X0DAM4//3zcf//9uOaaa3DNNdfg/vvvxwUXXJD659tV0Wx/JABK+WDTqjbMZm1VrxhprJ3DvIG8CHzL44q53bzlwf9NIGYY3nrRXfjobx/CXx8NusX41EJOK2czgPBiUlgO0w7SEfjSE2hnfncAwF52MA+O2muu0qLYxpgfHFK3bd8W+TWZwA+pRqqj4Pun6oOkbqRbwAwghRJJkjo5m6DRpXI2n0oFHYk11uYkkl4eucHeHQ/TffFN9xUAANsIT6QEJZKBcz9OxWMRaawtSn0VPLxeIY5UEikDtQBVDwEhBckUYSRSEyVSZgc+EiWReCY9zhMpBxcOXDNMe0PQPJFCRF3ObqZE0udLEd3ZW3k5GycyhCdSQjnbwqHg71IxxFhblOG5vqb0reRiOggxhYxvS2PlrKAaVLcjoCjlbWFmftfKtajUs4kpVUNwTmLMHQipXoQSyYBytnsvkY9JjBKp+yOaPmLInfC4w11mNRJJacnOSaRKWInkpUAi+TIhPVFzoz5MLTAmlEjKGkOVNd+t6TYbbZCx0wUNlfuG29vXSAFYejTw0v8ETvts8OKrfoQG637ndVmJxNXENotxf3jrWl2J5MXFvsl/l6JiPK/NKYPOfqYgmYrrAs466yycddZZse9RSvGNb3wDH//4x/HKVwas7UUXXYTFixfj5z//Od75zndibGwMP/rRj3DJJZfg1FNPBQBceumlWLZsGa6//nqcccYZeOyxx3DNNdfg9ttvx3HHBUqSH/zgBzjhhBOwYsUKHHTQQbH/fq1WQ60mJ8z4eJAFaTQaaDS6n23NGmqg7Xpe0++gyFpXXnHvOrzumHhTuWn/++zf6+R378eUszV8AnguBvI26hUfVZoHywvAs4uwAXj1MnxD5sDaHcHh6PENO3E2gm4VhHpiI6ITG+FmPFY7PyzY6kZ5XHQ8U2HSPUWYsbRHLXEIHaDB92xRH4Qdul2fYpJ5IpX8qY5+hpnOd9KoaYu6u301PC8IAJbPLwKjweuq+mSClgACuFM7QRsNeA3WCQUWLFChSPEalVTmPWkEdIUHIv6tOHNsXuLjWXn8bvf341Ubv4r31t+FcmkR4DYE6eH49cznk5tQylt3m6+d3Uaj4cq2uB4F2NgKjiX+FucdvhC3PKD/3DnfvBkr/+s0EELguFVxHmxM7QRyw5guZrO+1+tyn254vvgMADDXCzwuXmA9jPu9/dGI+f6rdTeTv4kNItZF6tZRq9Vld7aQEsmGhxsLF6JK87iu/kej5hCgEAPQkwTXP7JB86EKj9uujGuZzBL73Gl/Pt8LeyLx7kPMewUEnjIGix3iyswTyatOzmotnPH67gZ3JWVERrXuwhssiEbnU060I5Rrl0AbDVAr+IzUrWY2f1zPE+VsrkdBW4wjR6hQIt340CpcM/gYPnJmfMyeJoJxB3PgQ2cejHt2lvC6Y5Zq3yOxi3AQKJGqjWzWFA4LlpgTlFhwGw0QagVzx62J7oRAd2Kvmcx3y63Jz9Aow2WxiUVikr8MFSpjS1oYAWFKR64eq4ZUQY3qFFAX1slwy6Mt52Qr2G4dFoL4aarqwg1pNahTBGmS3OVKJK86IdcYV1IZXqMKyymIPZcS0vEY323wRCpBo9EAcQa0uPLJ3ME48E1/Dp7s/SLg8H8CSvPgkh8DFHBrnY2HW4ELFvg5zkMQv/DvzFcIOe6b5FIk/q0XjxSwaTz4G1EEyc08XDSqE0B+JPZnVKRxXu022h17piRSM6xatQqbNm3C6aefLl4rFAo4+eSTceutt+Kd73wn7rnnHjQaDe2aPfbYA4cddhhuvfVWnHHGGbjtttswZ84cQSABwPHHH485c+bg1ltvTSSRvvCFL+Azn/lM5PVrr70WAwM9Vp4zS9y7jeCiJyQzu3nLFlx11VXKFco0ohSrnlkHwMJ9a8fwxyuvQjM1+3Rx3XXXdex31es2gnQYRY7VyV7/1xtRz43Ad4P3frdzf5w570RsGTkMw2vW40AAq594HA9Xrmrym7uJ4LufnAwyuj4s3HzTjVhHmax95xpcc+Xv4FtdaG2agOdt2YFl7PFfrvotJux5CC89+nzKFi8pT2IEwUa0anNAHg/SYBO67+47cAzbhFaueBwTOBgAMIJKKp9huvN9+bYHcaTy/K5bb8L6TUcBsFCeklk2vtlWag1MMSLs3ttvxMbHyxjc+CiWAXB9YNXTT2IB+1s99cQKPDbV+c+45477cDRYdzZhKpncnW3VMxvwy+op+ED1UlBYWOjVAaVV91xvO6793cXYQBdiOAc4Geht162zECf0ffiRR3HV6CPRH8gIayaBfdl8vunmmzFZXAUAqDQc1PPB97l3fQ0OJg18wPkFvuq+Fo/RvQEAX7j0Gjx3AcXpU9xeHrj5hqswXtor8u+0i5ms7xsnGjiUPb72+uvh2nJ/fjkjJT6U+yW+452HFU88iavqK5kiKZjXDz70MOZue2jGY54pjt28Ebuzx1MTo/jTlVdLJVKobGAPsg17kB0AAVY+ch+uGn+sy6Ntju1b5Xy/c7U0p33bJfexUsPgyBNeI4955gmoaaYSI3HS3g92bA8MzHluLFzOtnbdetyvjIHPF35IXff0Cu39mWK6833pjntxDKRXybqNm3D71o04kb2/bsLX1n8AuO/RJ7Bh41WoeASwAbcyiesy2m9XriU4m5FId955J7Y+3lzRtX4KyDMl0hCp4pf3rMYR/lOpjzOMJ9dYIvFS2vYYjsnNw323rMJ9yjW7jT2KExAokVY/sw5XXfVM18fJsd+WJ3AYe1yp1XHdVVdhuLIOpwCol8exrbYV/H7905+uaqdRXkcwnfl+yIaV4C0zvMoYrrrqKqxeo6+LYcXmOOTaP96wMYc9XlQkWF8Fxuu6lunvf7kOFm3gxez5vXf8HRtXzE69/7y1a7AMwGMrn8Bo+aCI+XczNYtPCUZpkPRb+cgDWLkjuE9tv4Zz2DUrH3sEu5cbmMuee57f8fVycvtaHIJg3bvqqqswb+pJvEh5v95wY/9N4tsAAVY/uQJ317u3xlQ9AHDEPbrnEMHV1/8N57L3Nz3zFMBmA/dNuuOue7Dt8fjytMakHr9VaR554uLG66/BVHH32J+JQyfPq91Gudye2tZYEmnTpk0AgMWLF2uvL168GGvWrBHX5PN5zJs3L3IN//lNmzZht912i/z+3XbbTVwTh49+9KN43/veJ56Pj49j2bJlOP300zEy0pqJ3JXwnk/qrS8XLFyEs88+GkCgGHvPbfJGIZaF0tx5wPYdAICXnn46BvKzn2aNRgPXXXcdTjvtNORy05OHJuHDd18P+L7WwvrUM84CinPw5cf/jvGdFTz3xFOxZNmrsQSAddOXgM1/xPJlu2Ovs87uyBhmi/fcFvxtCvk8UAuIj9NPfSk+c+/fUKc28sTDmS88GpizrMVvSg/27/8AsHPFKS84GlMj+wN3/EW75uyzzfg+AYA89XGgHpAac3bfF3iSt36meNFJJ2Kf8UFgC3DsMc/DxBNBUFIgDZx9+ks71olupvPdumsDsFY+f/6Rh2A3ugTYsQVDgyVFiRTM+dLgMDbXgqDpeYcdBHrE2dj09y3AJgCWg+ccfBDcTcH9u9/yZdjn1M7/nciD48Aa7onES6iiZQtcnbHPAYdgj517gm7dAABYOGcY26qTmqnmsZN/xnNX/DNOOWgRvveGozo+5lb4y68fArZujLy+/4EH4eyT9+36eJLwwLox2CuDwOtFJ78EWLA/gGBd4aqY5x1xCK7c+Ak41e14nvUEnlf7PgBgeM8DcfZL9oOz8gPgsfwLj30u6LLjpz2O2azvj63dAjCf0dPPOFOT3t+08gy8aOrPeMpnZanL98HZZx0U+CDdfj0A4MCDD8HZJy6f9phnC/sXlwCsEnCwkMNJL3kpfnT3pQCih6MBpczrgOV74uwzju3aONvB1eMP4KGdm2Pf8xQPk7POOgtEObHal/1ErEkA8wWh6e8HK9ZvArYAthPMtXB3tmV77Y09QmO48PZrhbH2siXzI+9PBzOd7+ThMlsrg+9wq1vCXRNFnMhCrNLi/YFV+s8cdfRxeO7BZ+OyRy4H6kDe8jPbb5+44UmQLcGeeezxx4Muf1HT61dvn8JVj/4OADCICgYHB3H22SelPcwIHrz6cdg7gnGfcurpwGDUe4o8Mw94+qsYQA3zFi7G2Wd3f9/hsO5aD6y/DABQGhgK/t47ngIeB/J2EMNjLCjRP+PMM+F0MtMbg5nMd+svdwFsSXH8Os4+60w8ffV9wA55TViJtIEuAAB4zgCG9zgAeDoIhhYumI/168fRsEpQG9O+8MTjQHwXWBE85zHQbGD/9jfATuCAQw5H7SkCL/TdkibFhBahKDPS9MB99sT+p7Cx1CcBpgY+cN+9QZ5ZD6wLzsG243T8fl7xwG3AMwAldvC7tz4OrPwv8b5TKMb+m7c8+F3AA46buAb07O90dEzNMFZpAHf+VSRHR+YtxFn/8DLQh/IgXh1Ld1sAbAvmCr/muBNOBN3rhNjf962nbgEUE/Eq8hhBGSefeByw+LDYn1GRxnm12+DVV61gLInEQUIUOaU08loY4Wvirm/1ewqFAgqF6IEwl8v17KToHIj4DsIeHwSBgkHAcjr6fXXy++dDVzeiXGEAyOVQzAXKKw+W/PcKQZbD9huwDZsD2ycrQC4Y70AhD4BgHINYiHHkvApgyHhzjUlYTnTZMeme8ljpggsbVaZqsOGjhBpyTg7zWLtQx8njC+cfA/83BBahyLlTQGko8ffOBNOe70S/Hx2/BkqBN9tXY+GoVFtwE0fLcYTnhONVgVwOvJmSR2wU8w6qTFRuUy+dec//PcgSKpsGh+iXHrwbjt93Aa55ZBMOruWBUcAuDKCg1Kzn2OMJbsAKYMv64CT1lxVbM5lbSXuLR4lRc91xHBHU5vIFsU68+KBFmHg6mPtOYwqoBgcObjAPBN0Jc7mcZtTq3Pj/gDddiZmmtmeyvjtK969crqCtdXcNnowXTf1ZmGN6NPg3fIWk9NU1vquQ9yrx6mj4RIxTNdZ+DlmNqwofE88dt2LUHALkPdgK1LKRV68NeZDwcrK0Px+f88TSPZG4Esqyc7BixsAPeJZbjX1/upj2fGfj5WV4WyZqqNgyTvVy0f3HyeWDe8IpAnXA8modGftMYFmWKH10nHzLuGSoVMAkDb7zQVIV92+3QdQSqnwxftwDgdJhkASeSJneo3npmUMsOxhLMZgbxK3p+5PlIJdr7/6dLaY330PearQR8UAK+/VVUMRJtW/gO+cegiNW/Ui8PsRitrKvx545eICyf/AYaFZgjULuXhesbV6MIrkZeMms7VVlvOXJ32HThtashjTKHZ9rFve4I+x+GwyVyZL4PfPF3q0AAKc+3tUzB6mxZjeMIZxyWZzllACvDofWABbH8jnk5EuJY1yzXVcoVWku+C6oO63P1ct8Qdtkb8rjmDGWLFkCABG10JYtW4Q6acmSJajX69i5c2fTazZvjmbItm7dGlE59RGPw5fO0Z6rxFFcK+uXHiyVX5l3qWgC7t3gqNkMO7hxuLF2jTFiD64bxXUrWdrYBLPqENT2s7xTjugkk1U7Yg61Y1hlJ7ysTSdbQTHW3lqVQccQ2N9dMWUdKOSlEWJlBzJHTHe24yevw3/mLtE6mvGW58RyMEVDLZSVbmmOZXWhO5tsW81NKB1GItkWwdtftC9+864X4IS92QHJKSCv1Khx417xdwCwpZbtxp3kn53klZQV1NbVqkHnnvNKmKAsUE3oilThjRNUM/c1NwMbH4i9Pi2oTTTChsjc04zPd74f+T7wevt6/KdzEfxGNkbsjYbyvVEPlYYnyAxVifQfzhXazxG3A+avHUbOao80rDZC85+vOWzulZp0peso2BpH2Hzh5F1SdzYO4bnSCQPemSDUnQ2AUEcBQMMu6dcPLQb2Cbp0UaaStfx6cvvIlOFTRYnRBtE8kHdEufUQKtnFk+oaZyUQLkwBOYBq9k1lVNNgHhNwstGra55Ia3aYt54AiLZTb5Rh+Xop2EamPFKxju6GseH9NFV4KRfEMGESKejOpvxtQ90iZwT2+7ZXgu94PV2ovNl6zlfi4nb1u/Aa4pwCQBpIdxLCwJ+tM4WQzyGJvwf+kn9J9MX19wTdAlOEJ85ywbgneNki69Bmu5IUcngCKek+BvCPz9crN0SHNje+/O3ZDGNJpH322QdLlizRagrr9TpuvPFGvOAFLwAAHH300cjlcto1GzduxMMPPyyuOeGEEzA2NoY777xTXHPHHXdgbGxMXNNHc+w5Tw9MPCUACR+WCAHe9kJZruEaTBhwY+28mt1gbR95i8c6I5HO/dYt+OtT7DBloEM/Pwh6sGCzgL4sOslkHCSonSWqo9r8MRK+NOf7y4qtgowrkHoQ91K5CRUcW7ZkLW+P+WVdRrg7W30Sy2tR/5QhwkgkOyfMwUUA5UkSLacYLPPXOw6FtKozwqrAiN3HNikEBidvnaLWNlxK8Ql+4p4RDBXdyawmIak7m4nroSSR5Hf21pP2xQT3l6jGk0jlGrsPwuTiztUdHmFz6N3Z9JDmjKMDVw0+3+tu8P17lOLzuR/jzc6fse+WP3dnoCGs2qp8r56Lct0TwWqOeKLkdCPVO25ZWXUGawK7bRJJ+Vs99RdgK1ubhoKEXol0Z2+lvk6c8nK2YkJ3Ng6uEsi6O5uvHEYrkIdlVyWRhpYAFz4kDoDUVjo6ZdTmnYIqJFLr48dI0ZFKJFQz625JVPI/qTU46842iCoq9ZT2ynahkgy806lCqqiNK878xt+7NarpIRLLTIH4kly/zjtadGQNo+H5WgezwUJwP095ob+dFyaROhArs+97wXAwHzYvPhk4+SPAP10m285zDC3Rnm6hcyUprHVnU+a9V9PPIKWYjoyzBI9fxDoT6s6WdO9ePPI25Zf4wPp7gR+cAnz1oFSJa9Gdje2Zk2ESyZOJf7UzcRI+fNbB2nNBIsV4dT7bkSmJNDk5ifvvvx/3338/gMBM+/7778czzzwDQgguvPBC/Pd//zeuuOIKPPzww3jTm96EgYEBnH/++QCAOXPm4K1vfSve//7344YbbsB9992HN7zhDTj88MNFt7ZDDjkEZ555Jt7+9rfj9ttvx+233463v/3tOOeccxJNtfvQYVnRkkKOuMOSbREUmFLAVCUSpRQ+BQ4lq/CfuYsAAC7JiewYH3/NlUGvMP3NUIk0VXNx7rduxv9c/4T2uqWQSAQEOZvI4DKrrCmHesirjBrZ5lwDlSQSIDO9wpdEKJFsFHMWdvL+fWUDlEjh7F29jCqKkcu4MsOyZTkb/v5VYNVNIEq2O2cRNDgh46V0wPM5iSSVSIGxMBUkLgAZODkFLByWAbFKKN3oHwEAmE/kAT1OLZk2kv7FumHrIYVcO9SD8z4LB3HByaz2P0GJZBEEgaGn+/fgqb/EXp8W1Kx6OEN63EGBCfgwygCo+P5VNeTJq74WBLxdRl3tfuK7qNQ9rZ0wVyOpZrEAYGWdFIhBrk33+pqqRPrZa+Vj5jFT7JISibI13mJznu/tYo2POSQduUwe8BrVrJVIMiarUlWJpMwVYmnEAckp9gxbV2SyX/lUWW/aUGUQQjA4EhyS55CpRHI+dVBVidScRLIJBW1krFhQ10Fl3+TwQy3Ys9gjWyKGROLk1zY6grc33o8qicY2AEv+Kp+X+7Jq7doBpkRSYqZOxMqM6HJZ3LR80RDwko8CB5+tEVtYfDjwgRXA4a8BADzo74PX1j+pJH9VEkkZY6Oq77lpENriO2H3qGWD5qTSmyaQSK4jr0GjDGy4Vz5/+DcdHqSEVCIF4x4TJBKzo1AURCJpZier1YcK+j3eVyIlI1MS6e6778ZRRx2Fo44KDOje97734aijjsKnPvUpAMCHPvQhXHjhhXj3u9+NY445BuvXr8e1116L4WEprfv617+O8847D6997Wtx4oknYmBgAH/84x9h23IR/dnPfobDDz8cp59+Ok4//XQcccQRuOSSS7r7YXsYTohEakYCEN4ylx3+7n1mZ+K1WYLvmX8qfBwvs28HAHhELhzct0ENesUG9OT13RlkDC678xk8uG4MX79+JQCpCFfL2QgBHMvClDHlbMp8qZpPIpFQoM7JOO6XEVYi7RRKpG1dHWcsIiTSVGygpZFIipcQrnyfJHWIBce2pGF1Wgo8Nj88xVgbCAKChqrc4YoYp4g3nrA3XnjAQnz25YeK8k0A2EGDpgcLFBIpC+ImKSjvFSUSAOQH5wYPnrk99ucuum0Nmyuhz3TvRZ0dYAtQ9bARLpFhKow88VBAAw22L6lqyAF3DHjol6mPMwy1vBS+i3Ld1Q45nFAJ+4BYBgayxTY9kdSkDBRVAYaDjHzXytn8kCcSL6Ml8fcCAPzXuYeKUpPy1EQXBhmDcJkJmiiRfJ3ctWylQ+v38YqE0AAA5MtJREFUXgh85UB0G5Qq1FEbSiQAOPzQgMw+zFodGOJnAb8NEkktK+pEWdRsQGPuM+XvT0OJ0IaB+1KkNL9RhsUUdKIBR4IheN2jGmEzkNfLVgUiJFIH/m5Msc2Tb7a6J6lKJIeN5eXfxnf2+jpeXv8sVtPd40tm1TG6FT2hlwKJRP2QEgnQStpoEnVgl+DzRgr1KUAhnnDn9zs9TAHXpyDwWSdQYKJGgxiMfd+OL/dM4YHbRIkEAK8/bi9x9hVEfV+JFEGmJNKLX/xiUEoj//30pz8FEGQhPv3pT2Pjxo2oVqu48cYbcdhhujN6sVjEN7/5TWzfvh3lchl//OMfsWyZXs84f/58XHrppRgfH8f4+DguvfRSzJ07t0ufsvcRlqqr+00kMxSK4d9z+f3pDGqWiCuposrgpRJJBi1aJ4gt2bRYVsfD75cDyVoxNq6ecWyCCs9oZB7QKIFfjBKpW+1l24YfUiKxTb0kytlkKUQxZ0kvnupYt0caRUw5Wy0cOEGW99hODpOqUmn7E4oSy0bOJoqUNyUyUi1nU0ikAhqoqeUva25mbwxjIO/gkrcehwtOWK4Fkts5iYQJcHKj5mZBIsW/bpwnkk9hcdPYcAlPkXUh3fJo8i8IHVQF0ip9jAEvTfJgRReT/LAIaocVTxUvfBjduSb1cYahkkie5+LmJ7eBwhJqPO7PY0Mfq4kkUrtreOK9OBT4KBa7VM7G1xyLJRsja6QVDY33nFcShE3ez+YwQWPL2RI8kUIKwYh5st/oemk+pVTO+zYnzdFHPU88Psf/axrDag1N7ZhwbLJs+IxIqpfHs1X3KHGAz+cBIcIXiYb+7qYpZAHEJsRstt/UmXIwaQrVXV8jzXK2hZxNUKahhFrEE6lzSiSPEdHa+UlVIvHHTgEb5x8riBlZzqas82oM3agCrkK2u9WOK2n5OqMqjkhBlrTRhC8+51jK+Kd05c6CAzo6RhWe72v7ZJ1aqDZ8bK0H82TNhi3iPXFdCxLpc+cdhoc+fQb2XTQokztuFbj7J8DXnpPZGdA0GOuJ1Ic5yIUCKl8z1u72aDoDn1IMQA8EuZkvIEmkupI5vd1/jrx4fEO6A2wDnk/xZvsaXFv4MD6WC9q5erBBSLBpTmXt38ChZpRilEhC6VafAn79VuDR33dxcDFg4+Vy5IromMTL2VQSyRaeDahlTNYBsdk7LQBh4CbhtpPTAytia8bieduSBu1pSfSVg5GvdBoqoi6DW/XfXqTXq5eUw9F2BMRHgTSE2qorJqehhTCp7IJ78hgD2uRw5IT8G+Kgequc9D75uIuEKvdEonHlMZYMagdIVcwnP+wJE3OPpA1b+TdteLj4toDIqjAz8EE2f8NKJNXfwRS0GwcIJVL4B5ivR7eUSD777m1ezhYuc4lRIi0YKsAqsJKljP4GvlL6yzFK5eFOVyLp8yZvW7jJO1z/hV1OfFBMX4l00J6yUcsB3pOZqJEI5Xui3Zz8KrD9x5vKVt2j/O2pq5CJnLgIKSpqWRuBxyGGRHK8IJblZG49gZRueD6w7PniuUUCteRUuLTfq+kxUydiOBY/ubzTrJWkRFLK7QpyvYn1XaNhJVJonexwjE/F3hSvRPITjLVztiXHXy/r8yxFpb7rU41E8mBjotbAPZuCvwVPmgKsIx/QkkQihKCUt1HK2YoavwpceSEwvh740/s7+hl6FX0SqY+WCB+I1Ofh90wTlSTB94HDySrtNZVEyscokTZiAZ6y9gme1DKSsyvwKMX7nV9pr7k08ERyLGJQdzZdieSGSCSxyd7+HeDhXwO/fGN6hEUbIDxQpzwzxMvZ6kG5plbOZonAxDdgTojsc5F1VKxPwQoTS5Cbaj4XUiLZeUnqEBuFnCXLJdIiIxXlVz6XC9qpIlB+iUBc9e+Yv6/241yqDgBVFMS8n0eCv0ct3BGq0/jrfweZqbF14iWfAgeTZ3DK0FrtUtOUSET1+ggf6tr4e/vqAeXkDyk/2z3PGHmwjg9nyko5asPzgXoZ8352pn5RzD2SNizEz4WazUkkRvSGrrM985RINNEFTIe4F8MHROYnI0qGUwZf44USiYZIpARj7RMOClTujlfJJIPGOxGqJNIauhhjdABb6Fw0ikq3qnnLtZ8tOBYeoPvpv7DLe5bvUxCufJyGBNl7wYUAgu5LE9Xum1YT/r0nHJ7FdWzfHSFlVOoZEjOKusZS13hWQkVDJEQWat2WCKuqG2U4rDsbTwwcs3e8qXTd9YF9X4Irl30Qp9e+CIsQFHK27ETL4dZTMNZmJBKNKWdTlUhKwmwwLwmNluVsjVA5G9B5EsnnZbPxJFLSSS/nWDIp2SjrSqQUO7S5HtWSLS5sjJUbIjYfVAQDdpskEkcpZytqfOXzZJ2cNwR9EqmPlghb2KjPDbe3SYRHKRaTZL+mAvdECm2uO6y5wQMDFhDfRySz4sGGRQJ1j5HlbNXRKCnJ31YluuvuTn9cSQgZa/N66BJqQdyrGWvbwlPIr2ZMIq24Brj1f4PHxbnB/+tTehDJwFUOhXxetFAGEJgNKofygpOwgXYSlCtJLAzkbUFaFdUDZYXdq4OLIoePgbweDEywzzPMPmPqAfKNXwQmNgB3/VC8lPOquKbwEfzY/TBGIINB16NYsWkCv7x7rRlmpuq9GT44P+fclj/e4JlGYgVZ1tK84HkXiWsao85QUWVB+QBqASm57k7ktz2iXxQmNboAC/H/Zt0OCBVO9IaVSI6JJFK7SiSuIlHLIA8+R2ToS6RLnkhszSHTUCIBQKEUqH4s+Jl0aXU9uVZyTGIAp9S+ilNrX0IulwfO/xWw1wnAa3VvsprrywMqR5djg0CJxCdL+ySSPRyokYZIBWOVhBLaFEGYXQBtSSIFSqRhlFHJUt2jrOtEJXgZiVGt6GRJT5BI9UkU3UA5N8lirgtPiy+Rang+QAjuWHAeVtJlsCyCYs6K8USqhkikTiiRuLF2EJdY7SiR8qoSiZMwbZazAakpkbTETF5VIsVTB3lNiTSlf4bJLbE/0wl4PpXkEILYffN4TXZ2FEokKn3vmhhrqyjlbZHYzLKpkqnok0h9tET00K88D1si9YgUyadU6+AUBi9nu/JBvWytakqJGAJVQziD2oAN2yJwTCpnC3W/CJezCX8q1fizklGnM0pBqK5sEEokfsBRlEilnI0KCQKDRiV5PnUFl/2jfKwqkVhQs3H5ecHhAsAwP6A6Ob2jj2VrHkUFx0pf0Ua52bGFUs4WQcgAanjrSUz5x+dDTDtbNQADZIB5VeFj2I+s181808TkVvFwjiul2ypZXfd8nPGNm/ChXz+Iqx9OLzPXNtR7M3xAKs0DXv6dyI9owVojZNrKjTS7qESSAW/ztuxFUg8OF3GEUQZKpFpdHoZ/7b1IPPbYd8jLMe2eKGebphJJ9et51Y9E6eSr7C61GxclyQkkUoISqTigZOMz2Fc9N54w3Y45GMdQ0BDkwNOBt1wDLNBVR39bsUUe8DgU4rsb8CmFxYPGNsvZAAgVxCAqGM2ARBKJlYR5IcDK2YZQwd9WpHdobokwAcPBiIs8baCUszF/MFi3u7ZHTgfhNblexnA92GPH8ovxrhfvhxP2XRDzg5IU42cXiwSKks10nn6hV9P9hDqiRArmZ0N4IinvxXkiQe8GJjyFprZIBbZKItUngqSVik7HZsL3U3mtDWPtvK0o1ye3APdfJt+c2pJaF1TXp3C0cjYL2yZrIkHK7Ru0hEyre5mhUvfST6T2MPokUh8tESaRtk/V8OdHNsH1/Oxars4Svk+1Dk5h3L0mWLxXbtYzE5W0/WFaQCXpfB/ChJUj8EQigbE2l5V2YmOcDbQNcFKQSDnWVcvzWScFleXPyl9IGSvvrlFWlDG6sbYNyyLw80F22q0YUM7GoZBIhNfoF+cDgwsByAMqLAcjRUXJkxuQSiwSKJHSL2fjxsgExZwtjcxRxyfOOjCQOfBgaiBKIpVCJNKEoqz6T+firmVZPSXTZiulsfMh54Xq5/HguuyN2AltEVSFSmIAYD7kuunxjKjF1qE8IyQzUCIlmX3yoLyEWqKHRrdVJdWGJ8rUfu+9AJ9qvEm85znBejJIeOCrmylv3THaHZ+vaaBdRbI4rKqHXDsHTEpC1UH65UpESQQAMcbaCYqTgYEi6qxMJQsSiSuRkggYXoYfh3e/eL8oiXTvxZ0aWlsIurNNv5wNbI8dzkiJBKbmpQlEtQA7aA+TCj7y24dw/g/iO1umjiRlJSsbHSQV7DZSEH6CqZd8zwR+aK43yrDZ32HvxfPw4TMPBkmYQ7yBAl+XLBLEFlswD/ef/GNg2fHBGykaa/NyNkf1lM2pJJJccwYUEkkjujbez36n8vfcuTr6b3b4PMLPdRpZpJJISZ5IjmKjcdUHgXFZ4g/fBbat6Og4OTzFE8mDBcpIpLKIJYPYXSsNt9pTIllEaS7TVyJF0CeR+miJcIC4bbKOd15yD/b/+NXYOKbfVIZZfiTCp8ACJJNIW8bjDxWaaVzG8CiNIZGCWzpnKUoko0gkqUTKKymauufrbWezGrOSIfdYwMjL2QZijLUBoOEEgRnJumxQRWlu8P9GWRyYiJ0TbYgliWRj4+BzsJ2yAMF3Benkw0YxZ8V3C+kklHK2Ut4W/97RxfUgX9wb+PPHpXcHy/SqCHeP5EokICh/6NaB+5k1T8sx+VJurioeVT+wdn1k0oSmIIkLDGNIpC8NXCoer93GPpvNgmDe5rqLB2zqSeVcHDiZPoBaYKztxRxCu7zeuL7sUvUz96WyhAGAxw/MXIlEgs83heC7LaGGH92s+/l1Fb4PPH4VML5RvNS2JxIn8YQnCwmInOe9UVyzEOmTqxESKeKJFD+X1HLbLBJJns/L8CwsHIp23WxGIj1/n/mitFNDlxOBM1MiSYXPeAYkkiWI6hYkklLOBgC3PrU91XElIkmJxEqShlBFKWfHdiE2Bvwz8D2/PinuW0ri/Wz2XRjEYjxZwPc3m5WzAcDGhS8A9jwm+IE0SCTmicSTkJbmiaSWs8k1fzDk67jC3zN4EqdEUpGS8peKg5zqiaR0Z0vyRLItaaNRi1nHr/5wh0aow/V9odjlxNeOqbpYqwdIDYcvnaN32G7TE+mMw5aIM4BeYph9/GYC+iRSHy3hN0kzfuBXD2jPTTOOTYLnU8wnycoRRzmY3vqULE1Jvd35NOD5VGuJDkjjR8cm6StI2kWIROIH6ZwS8J7ylRvx5weUNtv1jFQ9SkDREN3Zgu/x/blfY/e/vl8egNhBwzWQRKLCE2lSeCIROycCF1EXbjkYKBbwqvqng+eNiiDJhCcSVeZRGhsnlRmkoJwtGON59IbAo+D2b0sjSSd6CDr9OYu155OQ5XlTtNi1AHl+XUrMVSXSCJH3n5pFH6808JHfPIi7VmdUuomQEinuUDeyR0AkKYenExbKz/P+y+4KHgglEgtqu0jKSBPQBBKJK5EIM9YOm5ICXV8jLSUr6oXHzUgk2Z0tuK7MuraVSA3rdma4pj94OXD564DvHC9e4svCXmQzPuD8ArtDPzwvwBiGUFZIpFAZ5LzlGKPMUJykn+2lipoUaN8TSSORMkh0cGNtQmwsmz8QeT9vJ4f0aqmwhi6SYT6lIIg5oLZCgd8T1WxUeLzEu81ytgVkHP/t/ACnWXcnqx/TRFJ5LlOTDJEKijlbaSBjlrIRgFTfFDmJVIblc28qGffuvSC4Dz79sufgtEODWIB/5zxhSQhQZKqrSsOTcUSERJqYfYwjPJFiytmGZKdBlcQI+zo+SfcIHggSKeHvk5IHIV8fNXWvokTK5+NVPMWcLZPXcZjamvzeLOB60uuIn4HGKg3NGmG80sBXX32o/KE2SaTn7D6SoETqk0hAn0Tqow00K1l7Yot+2O8Vo21KKRaQ5IznQUvkgvmfv5cmrFMZl7Op8CkVRAcHN/MLurMZWM7WKMNnmRo14F0/WsHYuDKXsipnUwIKT5BIMuM7Z8UvZekF26w8JwhirC76wLTCqkm2QdanQBihoSqRBCwnUP9oRJHM6BRyilEiaDpyXsUYeSBvi6zPUmyW17jJJFL4MLWb4kFUQaFr7Yu1DiCKEmkEU+zgRLUStsvuXIvL71qLN/zwjugvo1RkNNMEVWXyceoLQoC3XAv8213Aed8FABSH5onDh/AYEJ5IGSiR+AEvQdmglrM1XBqrRJqc6K6fGaWSRAorqKhy0AOkJ1LV4kqkemIZR1ew8prg/9VR8RLf99/r/Br/5vwen839WLz3LvsPuKf4Ltxe+DfU6mxOc2Ntxdx0kpWhqvdRWuDd2bgSaQLhdTHBEylny3KNLJRIrEyHWJbmo8JRaKJEKhpAIgXlbAwz8EQaIhVUMyRlkhQwAqyM/M3On3G+81f8IP81TNW6300usZxN8ZbK2xYKRpezcSWSUpovyDz5d/jVv5yA/3v983DBCctFTFlpePjnH9+JX90TlFPxcjYAqDZ8qQLyajpBQztgmM89kXh3NnVfHV4iH4+vFw/D9/JOrgwvMzI+6e/JSalO77c0JjGjqMAPXTo39scWDcnuuBqOPD/4f0pxgWqszUmk0UpDKWerYvX2Ms44eKH8oTY9kRYM5ePFA0nqsGcZ+iRSHy3RzABWtODuMXiUal4lYXz+FYeLxwsU2XhFyBqzJww8nyIf8o/g5rKasXbWJFJoA3zsmYAcKOT05aegdubJStWjkEguN9aO2xQBsQlxI1zLzV6dxvHEBDuceXUUWFvcgEQq6RdaDsuus3ntu7BYW1aPBHJ3raNJGgcOpROIetDRDpOcvIohkXKh7Psd/iHicR4uymm2WlaUlw7xhXzeUZRIc8gUfpP/NH6f/2RsW/dYpdTFLwf+97myK11KIDRBDaNieHFg0stLJKvjyDGlppCH83I24YnURSWS6FiV5IkUHBhKYMbaofbWALBmUzoZ0iT4lMIi8d894Qdm6J5IdeaVVEJtOhqOzmPzozEvBvP+FfYtAIBT7fvEOx/OXQ4AGCJVUD6fOUGqHAanRCedLpBIkGVhrzt2L4zTEImUoEQK2j1zEilLJZKF4WKU0GhWzqYlC1R0kfANjLW5Cmz6nkhDqHQtKaCCiHK2Fkem/FDkpbqXwWEzkUSS3lI5hxhezhZSIjWmYPH9RiEAdhsu4qzDd4dtyc9zy5PbcONKuaZbihKp2vAkidSoRr+r2d4Pvl7OpoUnh79WPq7KxMVAQX6eD595MMbAFL2cqE8iLJjHZce7swl1r3KPjiwVD/NOvBJpTikny9lUDC0K/p9Scjgw1taJ3i3jVa2cDYCM7y2n7fVnwWAe4zT4e/hjkvjrGe+WlNEnkfpoih1TXWq522X4VCkzOfE9wabyj9LrY4+5JVFDfexyaeabZRYyjIbnowQ9a+LxcjZLMdY2qZwNwDevuR9AVHpfgKIQuPP7wF0/SntkUbBNxqNEZGEibWE52HdNmfrCzphE8pUsadmWWaMRGgQrVjMlkrLx2/Xg+gZyKDg2PNioUals6ji4kTcrZ1M9jQR4wGU3kUoz/NA9G7czImmETGEqTRIpJDOv1YP1MkflfbkX2YLnWU/iSOtp7EtCXVXiMLYOWHUjMLYWePKGjg43Aj7f2wkFuJy9NiF8qIQSSZSzsUNUN0mkFt3Z+P07QJgnUkym+eDqA131OKBILmezikwtQCpwLCIyrG4u+G6LJMM9eWo7sP2JyMvtxtOjG9jPxiiReBlrN5RIane2z593GL711pfo7ydkqUt5O1NfRN+XJFIpFyWRmh2LSjkbU3EHvG6qBjFDJVKez/0GavXumuADECXhLT2R8tESw0xUPkoy7O+L/km+LpRIVeRsSyGRDCxn43ur8ESKL2dTwYmibZP6GmkRghKL56uuJ5Npjamof9RsE5hhJZJKVgwrpffclwl6h9mRkiNIC1RGg//HkUjHvFV+jo6Xs3FjbWXsc5fJx02M/WPVjoOMREopLvB8X5pms7V7w2hV7CninCRIpPZMtQFg7kAeTyIg0KwN98o3MujoaiL6JFIfTWHk5tIB+D6VWfTnvgH42AbgkJdp17zhuL0BADUlk1SOM1jLCA3PRxH6ZslLsHImKZFCGyDPNBccPSAbCBFi+NP7Uh1WLDy9nh1A/KYIiI2UssOd48VktboIT9kYPeIIE805GokUViLZGMjbaMAWh3BOIrnEEZntVM1klXK2Ut7GZsyLXlNh3gBOzCEIOtG7HXPwP+4rAQTmxOU0ywlCAejkWKC0sH1JiO5FZNe2OdDvxUUYxUjoNay7Sz5O+95VVGAtoZBIXP3lEF7OxuZeFuVsLbqz+azctAjuiRQtZ7MJBe7/eXqDDCEoZ+Pkqb4O2iVpIlzK2zLDyu7nAVSbKk5Sxejq2JebGWuvo7KEoD7GSlS5GsyWBP2kMEDvghKJNxuwgg6bS5fsHrog/vstZV7OJhVUvLupiuFi8uGolLOF2ktDV0tPVSXSdMrZpMLHq2aQrOHKjJYkUowSyc2im1wwT9b6i3D9QmlaL421K4xEYuVsRiqR2N4qPJFkORtN8LPhpNhkaM/XytnqnvTua1SiMdtsCRm29wtj7VDjD7zjb8ALPwCcJOPb+YN5DBcdWAQ4cPGwokRi5e9xceXAAsVYO6VyNvUenaOQSH78nH7RgYvi1Y4lFp+5lVTK9FUlEmGq6K1adza23/C9v00/JCAwZd+a3yv6RlyDjmch+iRSH01hzdB7oZgzcGrd+QPgN28HvAY8ZdGB7cRmHosx9eJTnETKmphBsPGXQllpXg+cd6xMDUA1hBj7QUYW5UIHIdWAODOwwEUlkabilDGAnDM8IAEy/a4pCZFILPiaS4OyTeLkoplSy2amjkTMbUchkWyLIJe2STvLevFytk10fvQabjDpxKvCLnnbsbj5w1JNwMtTUlcihUikqckg6FM9kfYi0ttJneN7k034W+G9uCL/KV0F4yr39ERyKXFHMC0SiQXzihJJlNNa4XK2DDyREj7DaUcuB8C6s7nx5WwAgNu+ncbwYkEpRY7tP2FfuzwjkYZJBQN5W2RYeRdIUZaXBcKSI56xplHyR3g5UXnP5mqjwYOYcjahROpKOZueteZeNgJNlEjSHyPDcjbLih5OARy2NNq9kqOUt4XvlIau3quqWmoasaWdFyrrLJpukHaVSGGlL4BGpbt+awAE6XCVfywmyCAaHiu1VrylcjYRlgJZlAi2BCdO+L7TmILN/w6JJFL830crZ3N9+Xeql6NKpNnc174v9lSXskRL+D7d4yjgpZ/UYrGCY+OvH3gx7vnEaZhbymGMtlHO5hTk7+h0OVvcv8fL2QFgckv0fQTlbPsuXRx9Q42RU1g3A08k2SwGCMzV1XK2L736CDmn7PZJJAAYHBxEnYbmlgFCAhNg4Em/D5MwU++FX//LCwAYRiZd9QHgoV8CD/0KvhLEJ0kbeVZD7QZikhKp7vooIEwiBYvjQN42yFhbz1Lzw4ZN9PbsvC1upvCj6oDH6bL4a1mWxs4VRcCQ5Xetmk16JCcORvNYy2zLdqKZUstBiXctYRuuUCKxjkVFx1a8wNIgkaQSySIEm2mMEomTSAnlbAXHxp7zZFA2zoxyh1FJ19g0FIBWGInkKKWZ84mUx6tKpBdaD2GQ1LCftRH4zFxgMzPwV0mOG7/Y+TErIIqJeksowXye+flEjLX5NYrpcurwm3+G3RcuAACUSB0+Bfwk49QuytMplX5SjVCHzTlzgvk/gCr+8fl7ie+4bgcHwCKpp+vz1Qzhznbsu/Qp8Br7Ru0trrBT2yoXG6PBA37fKOVsU10sZ+MeN4SvmU5Bb7/dxBOpnKYqswV4tymLWNHDKdDUcL3gWAnlbN3uzsbigekkKAlBww4OorSWwR7bthJpMPKSVx5NYUAt4EtifaLq4kVf+ivefvHdQtEllUgmeyKFlUhluV8l/B3CPpsclkVQVON5VTEbUSLNhkSSa12NJiiRErBwqIB5g3kMFBwRv8hytpj13ikq5Wwdvid4ciBJLcgVUjHIFaNqPCw8QCYMUvBFcj1FFKAlJoK1elHBxWuPWSYVVNNQIgFBSVsEBvjimgCDTvh9mIiZdoGZNxjcdNWGjz880IYPSDcxtg4+pXAQDWRVCCWSssFO+tl6IhGF1mt4NFLOxjsUDeYdWc7mN7KVXoY2aZ5pdixLI5HMUCLxcja5NK6ke8Zfy7LVBaUtPbY/CWx5LNUhJsEPb4wDweF5kJkK2k4+lkTi9ficKHJqQYDgMkKykLOkmWwaWWvF3Nm2gO00JpsuytlaeyIBwARTIg2QGqq1FD00QnO7Wg4CJCdB7j2HyMDDDptsX/ne4P8qiRQuP+wwuIFme55Icu4Ec4rih/mvBi/wfYJ7H0xt6+Aom0OYgCYFvOzAwMnrraMJSoYulqIG+w/zOgplOAeGg/l/4DwLZx++RJQM1pgSaRBV/Pbe9dg01gXvoDAiWftgPaCg+EzuIu2tyy44GACQI/JnSi4vz4gG88JYu8vlbAKqGilhLg0o5tReBmSG8EQK7Z0AcPjSOXE/IkAIEd1bNXTxMEQpZmasDaBh8wNz95tuSPKilbF2lETyK8kH7tTAxuvCxs1PbMPGsSquf2xLSIlkejlb2BNJKpGSSIBkJRJBkcc5dU9X8Ky/W794NjGOsu+7cZ5IbWAo7wglEuXJmLi9ySko5WydPY9QoThNGHsTEimidn/5d4DFh8p7I4X7V+3ORlQSia3VpFEOFh+/+fxJwryBmDNiBp54JqJPIvXRFOr6N521UM2S/cdl9+HmJ7p3qIiFWiLiNeC5XuCDASQqkbiKSlUiTfnsWgNY6Hq9jjzRNxePBYmPbxrXuyRkqUYKSWOFEski2gYbq0TqNlknytnUTSZh4rNsWFE1LL3oHOB7JwcGtF2Gp5Sz2X5dkEgclpPTiIDgRVuSSIwoyleDriYVEmz6BcfGBC+DuOO7na9pV7KmFiHSD0AFb3XbLomEAfg0+LtZlRT/FqFDdb3MlEg0nkQagpzPYVN8EWSpv7M+KbORKUC0TG7Hn8QpCCXYEMpYBCWQ3P5k8H/ecnjr410zqvZbKJF4UDtkB3+TyXLCmmLHl0qmAb2cjZG1joX/fNlzRHe2gl9B0ZGeSJVcoFAawRQs+Pjcn+K6pKWMiAltsK9QCtzoHaG9dXApmB+qEmnQGwvKamIMTrtazsb3JLX9tkoiJZSzFXO2WCfdLEgkT5JfdeXgf/bhS/C9C46e2S/t4mHIV8vZpuOJBMBlJOphO6/vemekVgoYgRgSiWZBIrH7y4euWBv1gntsCNWgnK0XjLXV7mx8v0qI2bdPxSeMLEJQdGLK2co7gJXX6BfPJrZXkrV10Z1teiTSQMGWMVAzY22nmGI5W4u4YP4+iT9rqffAwecAR70+eMz8uNIgkVyfwmHqaDUxIGwYKGuoMQNjbQCYF6dEyjo5bwj6JFIfTaEufx84/aC2fy4stX7Dj+7o0IhmiJpSl+7V4KukUkJ9bFyWJlWD4TbgKwezuCCWq0ceWDeGBhzRIcIEEmky1MLZsYnYYHNwI/5OAFJvcR6BIJH0pVGUq6lgG2zBsaTZKhCUfIytTW2I7YCCREgk287FKpGEV0CoC92UFVxbcCzspCwAePI64LE/dHiwLGChAYkUabcNKJ5I7ZFIHmxsQ3AoLFTi6/c7gtChmrIDmUPjfXeGiUIihec7z7iGPXvG1s1ujM3Qwk8oggI3dy5jOZF+TZR3z9v9yOD/o2uAHU93bJhNwX2dEpVIAQG6IM8Ogq4kKVb5i/EPtc8HT8rdI36p78FiSQzuifSLd56AN5+4j7xHa5MoKZ5IlXzgFWYTijmYxJaJ7nepSir9oJRiG0IKwm1BJ7aCQiLNwUSwnwpPJBnwV0nwd+qmEslSM9JcRQcklrMVFK9Br9p9bx7P5+O28Ibjg8Yfpz1nMb7z+qOxx9zWqsVXHrU08pqfUtvtOFAoxtrTNEvwGIn00p2/BO67pMMja46Ih1YSYjyRsiGRuMpRXxOfZsu0KGdjidJy3cPfn9iK8apBh2K+typKJH7fJv0dFg/HN97QPJHUcrZyTHK7U+VsnuyUPB3kbAtVVrpM3EpAfiSWs6XUyEIkZkLf89v/Ajz39cBZX0r8UaugkEglxZqgIPe1TsPzfbGuEOU8V1Gb4jTKsftOO5g7kI9frbp9PjEQfRKpj7YxkLdjO4LEwbEMm1qq/LKyE1RlkBMy0IUYJVKqBsNtgHsiAMAHfh4l5qok2ET3mh9sLuWMxwtAbIATrM57UFUisQ32GGtF/M92McAFIDaZcIlJrJcE24jmDeaj76ukZZegdgSrkhIwuFB738rlZYct8aLDjLWhE2EAJrkSKWdjB1XIp06X6ynlbBYhGI9TIvEgKsETKQ6bmLfSK7d9FxhPqaQ2RCLlajuBaz+BN0xdFHv5MMo4kjyJt9hXR5VIPCAJk0hTWzs12gjIdEkklhUeIVXsY22M/B6M7AHsdmjweOfqTg2zOVopkXLckDr4vjduD+7N7XQY/1j/FLbSucF1U1tT6RwTB6okMbiJvzhscBKpPomibQklUo0UhBLi9/lPoklDtPQQJpGu+ySAYCjh0mpOyqlKpPmYDDonxXgi1SxegpqBsTYgVXTh19WfIwR1KyBrqlPdL6viSiTLsnHI7iO4+xOn4rtvaF+BdN5RS6W/HUO9m2TYLJRIvkrQPHBZx4bUDtpXIkX9YOjExpgLUwa7vzxYmKzL++/jVz8DABjk5Wysy+ZPblmNC350J9520d3R35UVhCfSHPE8T4O1QW0iouKUg3eLfd0iBKW8Es+HS65UzEaZx88VxEaDxerhBjLtwC4qhHx1LFZ5R+2cbhDeQRCuZAvfo0uPBs77DjC8JPFnLdUTSSWRRDlb5xPaanc2S9lTPNjSc7A+FbvvtINIORvvNpd245MegGEn/T5MgxqnEgAjTVrIqrDbJJu6BvVQX94BXyWREo21Y5RINEVvmDagKpGKMcqdOgvEv/P65wGQJQJZ+AgIMJKA13nzsjVHIZEuy38+/mevfC9w6au6JxuN6c4GIL6rDQsoD9tjjvyeOZrVjKcEi5FIT/tLcJvz/KgSyYlXIvFyNk7ycZQt9vcqOtITif1MR8E9bUBgW0ANTdYYJz7TyHHac2RnEG7Q/ZzaA8Alr5z9OOMQOlTnK1uAW7+ZePkQqeD3hU/hU7lLcIF9nf4m9z8Iz/UUFTLE494Zbf5N2f3x5epncKp1b/w1/DCe0MGl06Bx7YhVMCXSvvUVWF08H8/f8UcAwEXuGdiCediKOajDCYjK8fVdGbNKPvIg1+F7pigHoCiQmlAiVT0iDrN7WVslEdJNhMvZnrgWWHE1fAoUuZn8ACOvq9FytnlkIjC6j/FEqjFyZihlJZLvSzWM5ok0pHQVakJwjHrBWnjrY2tSGV8ziHI2Oxj3wqHCtMplhooOzql/Hu+tvwuXuKcCABrl7pFIgbH2zDyR/Jzcu7ZMdNcPTJDkrUikcJIGABlPUUmaBJGYsbWq4lGXlyNX4NgEhZz+ee5ctaNrQ2wJTpwUJKFS8lgcm0DyJplYB8baqhIpJlHFMZtYma9rdk500MzNIKE+PFCUiuzKaGw52yeuWo1v38KSY51OErfrARYDp6h8twNKp10lOdJpqN3ZLEePZXhiPTBRn6Gx9mBIaDDCFJ2TW4CHfg1c8S7RZOLZhj6J1EdTqBsQIQRzSsmdzM4+fAne89IDAMRLOGmXPDJioR7qV16DpTd/VD5P9D+I6c6WsVm1IkRCMaxkAPDUZPD32W9RsGCXMya9AEgSiSlMpIF20I0rjAmiBGJrbgaevD44rHQDwlhbnxPXe8+LXsuCgyVzCsIUViBFH5skWMyH582ND6HsAijO1d+34zyRHJQYiRQuI9veCD7TSDEnO+oA8fX5swHlHfF42+omhwunuW/N//zTc/Hy5+4BAHqXt60pmZ2HDtWDk80PlponEiOBr/WYkkAokULrSpom1ZRnHNuUd7OSnwFUcLp9j3j5q41XywMIP4xPbu7YMJvC4wFvwrwJ+ZQUSfD91uHAsQgoLGwijPga7Q4x4CtdzgSJxPdMRXFR8Moiw1p29XBtkGbRpSpGqfWbt4FSpckD//tXx2HBF14VADCfTGCiqiiRlGCeK3wGUIXrpUeQeVQ5cGgkklLO1qTcgccAA10ouwuDsu/NmmY5BsdwwcFTdCmu8F+IKZYYcavdLGebuRJJvY9Xbe+unUDbxtpOPpLosKe6Q6ZrUJRIKngyLE88lIgrPJGMBF8j8wOiWmDAZ2teExLg8684LPKaRQICFQDGK27zhhWzUcrwvdvKwWXBujODhPqcUk4kXbHxgdhytkd3AHdvYN9Rpz2RhE/l9NcZp5CgROIEa1qeSIqx9lBBzg9eJo36pLLvTO9zzRvIoaLaPQzzGGcT8Ju3Ag/8HHj09zMefy/D4BWkDxNAQ5r5uXEu9QgyTN95/dF472kHAognkf79svuyM/Db/pR87LuYt/oqACyATzh8aDXUDJpvTAa+SL7CIoXLBxrUxtN09+C9XNC9xYhyNpZRGmUlUVyJRCmNnSefW/z1qGKmW6SMCL70TeZr7mvw1carsf3k/5YvsgzZgsGC/J75r8lAiWT7wXxoUAeLhgtAaa7+vpOLZuAUY+2wofVOPzjMjpQcrKNKaVynS/V8hUQiBE0T6y2USAN5B2cdFtwDGomUFkKH6n3W/a7p5cMxHQg3UZatG30mWKe6Wc6WcNhIxGn/FXnp3+r/jm955+G/rnwkeCErJVJSwBsq6+RowEGeHaI2gI25WyV4rGzOp0SUEto8Y21ZYv0jjSnRdWbKBSaf80/iVyywsiCRYvbv+iQIdXGizf7+PMCujqJA9PtjHiYwVW2Izz/lEpFcqtus3JlUA/PblOC1pURKPmRMhbz9uomwEmm6GFaU5DzB5HWRRPK17mzTO37U5h0oHtNp+inNFsSPKX9MvFi/xi9noO5R9lQVatn9IK2YTSJx7zqnJDts+sFcpU1IpJP2j673FiFYOBTM9xWbJxiJFJpDz3tj8P9ZKZF4uZQjlEiOPf3veO5ADovIaPBk/d2x6+4ODEt7jU4niYW6d/rrTG5Aid3VZgWcBE7FE0kmBmA5GC7K+TFpMfKqslN+jzMw1n5H4/0YI8PAq34Unyh7lpa2GbyC9GEi5odlfQwNTyeb4iTWVz64ERfdujqNYbXG6DOxL4cVJyokiSQD2qDUhn22DIgZtZytxEikVXQJ3lT/EF5R/wxef3KQhSGEYDBvZ17OduuT2zBaDrIlopyN8LbQ8fNkQ24vYNmx+oudVr8kgRtShpbGMQzhm94rUVn+UvkiCyjnlHKRcrZHV3XZWJtSUc7WgIPf3rseqyZDG6Wd0w6oAACnJEikcaqTSGNecK/PKeVwsXeGfKPTJBIjTRpwYBOiZZEiaKODFlcQrqOLWlzZAcQpM+JQCIKpYUSJZ43s+vlro0qkSnqHEELjSdNELD8p8tKf/ONAYQUKE0AGWN3KwLdSCczZC9j/VNzkHa69XIcjPObWgo15Z5dKlDx5r3JohLoScOdYB86JOkXxTEni7ZHPIDGQMN9fufX/5BP+96+NR7qH5oiH2tROofi8Y804/vRQ4BnDW7gPoopaI71kk68okTQyRiWRmpAFXMGThRLJZ9+/PcOS4pGS/LkpdgD1u9hljlIqu+JOkwiy9jhSPK6T5smEjqNdTyQg0t3LSnH9TkRCcsCHhQr77kqYEpYNRqLBSaSCWA9LPi9nS57/u8+JqowIARYMydjh0398FK6tXPeclwPz9wse12ZR3unJcimXnYnyM1AijZRy+F/3FcGTiY2x8e8mOl9WGnT4LEL8NpV3MSgNKMSRmvRLsZzN9aQSCSEl0pQgkUa1v890MHcgh9v95+BU+yfA4a+WibIJhUTKqNlS1uiTSH00h1bOltDqMAYkQd3zzI6MFDEJ9apeEy8QfhjV1VME4ku5/+cdGlz70MrZWDlMlebxN/+5eJjui0P3kAv4cDGXeTnb+T+8A7VGsHCPgiuRgsWWUopwufh33HODErewEmk2G/t04PFytvh54Y0sA97yZ+DfpAGlZRE0bL0U7Jn1XTbT9D1RclZjY3/br57Ur+Ebp/rd5oooMWNtVYn0PfcfxLwfKebQgIM/Ln1v8GanM0mMRKrDASF6tjyCNrqzcfL3Bv8o/Y00ymlbkEjrDv0X4OyvAK/5MQBghEQPbFswVz7Z/iSw6aHgMfeCSFPVxklTMo2gypHBd4XmhaG1IEGEEqk75Wy0VcBrWcAbfoM3Nj6KnYpBfB05QSI94zPCsUtKJG6s3VDIO41QFwH3FPLMU2i8bsEZWYyNxeCwM4gMSaTSPOCoN4iXXzL6W3mNKGcbQ1FRIvG96Pe3PqQpPr95w5Oo1D3sdFnJSheUSIJEUg8TqrF2E+PVKfY5BlFFPcVxxoHPdZLQUbYVSooHDk980C4mmKgawEzzgLrn0WeJx0WrOwb4HBY/xM9AmTHgjnW/61mThgllykhQWhXNY1Q8smEM/3HZfVi9LcuOvlSWszlFQSJxooA2UZLkHQt/vvBF2mu2RbBoSMYOP711NUZd5R5yirLcajaxptJCnhtrz6TJ0JxSDuu5+rsyKv6eqiK8hnx6jX54OdsM5vu8kSGs9hfDowTYQ7GBSNFY2/N9odiFZYvSRUBRIpV3zMJYO9ibRiuNQDnLYzNVJd7I8H7JEH0SqY+mUI9dxdzssxblekblbF48ieQ2WSQLTlSJpOHmr896WNMF1ZRIwWdSa3X3nCcPeIMFW5ZZpbBwtwsuX+dKpBFFicQ3WH64+433wkBtpZgpAuieUbUw1rawNKZlMgEB9joeWHiA9robIpGWD3U3yEWMx0pYWSQkvIWQEond12PK9ff5B4hM2gjzQRv1WFap04QeJ5FoDrZFMFiw0aAJ92Ub3dn4QWkcQ/h44y3idT8NIjWuvEdBfXgv4Ni3A3OWAQAWI9oSNvJ3WnNz8H/ecjzFUk7RhWU6ocA/fEU8VNceESzzw/iWx9Ih7kLwvfZUAq87di9sp3JdaVAbHhvfKo99113yRIrzXotVItWnkGeG1dtYYp6wtdFpZKAu5UH43icCL/92oPIKQyGR8iywb1AbOxCMe/szjwVkKQISbeWWCZz9v3/Hmslg/qStRFLL2TRvoUGFRGpSNsvJl0FSDUzCuwjKygDtGZJIanKPl+WRrsYGSiw1TWNtYuew5ZyLAQBFv7sEKlds0hl4Uc0lk3hkfZe7tQpFdXS84+zvPuCXY8vZ3va/v8d+j/wPvnjxFcCWx9MdZxJcReWXK2o+cQBaKkkOWjKMfz5hb3k5ISCE4Njl0ui5onajdQqdJZFsBw2Xl7NNX4k0t5THGEu6BmVYwe9a7S/GK2ufxseXXRK8lVY5GyfrZkARLBgq4tz6Z3F87duolSTp5fPESAoJ4cATSZazqUqkSYvt+RWFRJq2J1IQ5zQ8iqm6J7rU6iRSX4nURx8RqGeA+QN5Uec7U7he+oeKWIR9RhjcJp2g4oy19d+ZhbG26okU/PtVmse+CwcxbyCHAxdLU+qhgoMyN3zOkCW3GBXJlS7cE8mnEP43PMPkwQq+77ABNO9cteE+4I7vpffd88Md8xW642MvxfH7zm/xQ6H2wwByjS4HjW6URAp7HImNU1UiFUcwUOCki/wMEyiJuTbCsjo7WXmb3+lyNjb2BhxYhCBnW8kd2poZYjKoZPfPvJcKQmrDpg2zH2sYLCiZovHkFuWBKT/4k+j6WUUenhJsCXAyhs/9NMDme9vlbIDW3lf1iFuxeQLfuH4lsAdTgE1tlWbhKYKytaAVifS58w7DNkilZg15sb+t9lgnw9HulKHSmHI2TYkkTEgnULKCtfGVz98XAODmg/fyjS62ZucIB+Gq5wWH8EQaB/WlyrCw+yEAgJ/mvyQ6GHqwQCmwatuU9BpCFdUUk02aEkklY1TvrCYHAm5OPIwKJrtNIjFyINyBaCbgB1DSxbJ8fxZKJAAoDAbr6CAtCxVhN0Cmo0Q6+s3B/+cGBOtcTOKJzV32SEzwRAKAcaZEKtCy8IRT8fHcpXiPcwX+b/xfge8cB+xYle5Y46CSSIoSiaOZJxLHZE2uIXxpHSyoSjyVROqQEkkz1mbd2WbgiTSn5MikXnVUlLP5sHAvPRD3TMwFoDTOcSuym10nMItytpGSg0kyhK2Yi9GyjNN/+3BwD5QnOx8bez6FzUuniY25SsVM2WaEj6pEmmY5WykvvUO3TdSEPYHW9KRb1RKGoU8i9dEUqrH2Sw7eDbPlgP7wQAoHuXbgJpBITco4eEtQNxSslF/0qeDBsud3ZmzTgDqUAitnq6CAK//jJPz9w6doDPxQMacokbIz1uYBOzfWFkokSoV6gZNILpxArRZulcuVSFe+F7j6Q03bqM8KiieSRYDFI0WthDMpeUpzOumV7zqJFARdDWqLUrx6mIjh2XX1Q4wsFYo7VYk0QQckicSUSBvKwf+fXtfhMiUWeNXgwLIIbItIk8Qw2iCR9OwqwSgj03ZuS8GjhwUlvFQz8jYn7GJaP3NUaB4bzvxR9I1BRc6eEnjXoWmVs5Ukqbpg7lz820v2F8+/cf0T2OGVgOHA3LwbBxCfq8FaBLy2RTBhzxXPVZPZHVTJVnaji6jLSSRFiaQeNvih6cYvoUCDe/vco5cHP5oL5lLOzUKJJH0nAMSTSFydVNmBzzgXAQjIMnrgGZFLVRKNK3xyxEO9nl5WV+3OppWzqSUO8/ZJ/HmuZhsgNUylcCBqCvb92zM01gaAQXYYomyOWW4XY4NZehsWh+YCAIZIBVP17hF4BNMgkc76EvCOvwH/eicAwCYUX/3DXekNLg684ymNromcrB2g5VjbiXPsO/QXVt+sP9+6ItFjtGPgfkjEDu7LEIlE2iABXnHUUvGYk2UDqkIFSizhFDrj2cNbyNs5kTCPax7TCnMGcjKmUMrZuGJ49fYgKazuYZ1MFMsS8emvM4QQcU752G8fEq/ftTE4r6zd1Pk4LKxEmqt0EZ/iJFJlp1ZuOF0sHgm+683j1XglUhcSZiaiTyL10RQ8ns7ZweHuH48JyjKes/tIk59qjkw6tCWUs3nNSKSE8r3x4SAjnAXzrGbf9ifrAQBzhocxkHcihsTDBUcaPmfIknMl0k62KY5gCrxQ0mIbLK9ndqmFSt3TTU4BeZDecF/w/0d+i1QgytnswJsJiM3WhUFCQU7XVQIsc64qQ/K2pXexGWCHf7U0kG2Gf/vAizXl0iRKYq6NMI+iR3cEz4u0w4cOT1UiAa963p54T+Nfg/dO+YRODrRBIu02oquCxhh5OTmaQpczNl/G6UD820w1gvxgYkehCgqoODEkEy9nK29LjdggImM9jWBxYIF4WKjvxAfOOEh7e9NYVWThMb5u1mNsiWkEvOsb8nvmhylArk3w6l1pQkCVTooc2mGDf8dbHhUvEdYu2c8H92zezVKJxEmkmDhgkZwPL7XvY5cXYO92cORS9ZCrHogalfT+Bp5PhVl5JCP97juAC34HLNw/8nMcXz7/BajSYE2sj3W3fTulnESauRLpmgtfhB+88Rgce2AQyzlu91TKvkoizUDlkGemvYOoYrLaRRKJG2u342/j5AM1Zq4kTNjnk+7eqzTGWPvIPYPvjpMno6M7kG9HJaOWO05sAr59LPCNw0WHxVQgOrOxNSFcztbG/FetHY7eK4h9hvLy5ybUPTsFJVKDK5Fm0AFvuJDDKE/q1cZFJQX/e3KLjRpyqPE9pJOWDyJZMDsLkxse34InNgffJ99vHa/zpHWgLpVjVruISxJpx4yNtQFgt+Egrtw8UZN2G2VFidQnkfroIxmEHYBOOmAh7nveNfjD3K+hgHh1TyuUaxmQSEyJtHnoEO3lZsbaSe1Px3y2OVW7nIWE9ESaiwm80/kTAOC5y+NbWA8VHGylc4Mnk9m1n+SGzzzbXyAuXmLdH3TJsQCAii4+Qol0xD/qvyRc0pOWOkMYa9tCsNNOoFUf2E17XvSyJ5Hqno97X3ULAGAVWSY9P2KCpOULB7H3Upm520Tni2zSHJbV4Ye8YXS4lIB953XkYBOCNxy/N97wpn/F2HtWAS/6ILBQtnZuh0QayDu45sIXCnNNntGrjG1r9mMzAwu2VEXF074s96I8u0lIohqpgjyqdoySaeGBQfBcHdPIhE6CsMypP8NyNh44Hb237DC3Y6oulUjj6StPeceqdkocVE8ktaNiBQW4FiMfu9GSWyGrObRytsHQmn7A6WLu26XgMGjXDSCRQt51Dx/wL8E8DxF6IzkPhXl7RH6dqsTyYAtyplFOr/xHO3CEDVZ3OxjY7yVNf/7sI/bAmDUXANAY7/K+6s2eRFo2fwCnPWcx7GKwHjle97w8fLXkZpqeSABAGGk5RKr46jXprImx/64oZ5ve905YSfKJc0c1P8vUEZMcOI8pcziJtEfJ1dbtRKjrzLeUrrljKZb+chIpx9boUKOVdtb65QsH8eVXH4FL3nos5jBSYbCZEkmQSLNRIklPJK5Eys3AWHuo6GBctSNge5IfSUQRaUPQwZi4ZbOKaeC0r98EAJhk+20+BRLJ9X3kxJqe18rZKg5Ty5YVEmmaxtqAVCJdevsarK3EzL8+idRHH1FEtr3RtZj36MVwVv0FJ1kP6e9NbgEuex2w8tqmv7OcomlmLHauFozxF3ecjPNqsk1yszIOyyKxKpRxn21sXexqwsHP7vsS2f3LqY3GXjtYcLCRMvVJFw5zSeClA5PKoe0n+S/D9wHbsoRSCQjKyMp1N5rhro7pJYmd9uXhULoGkRglUlLcWxnaU3s+5I1K9cjWlcAv3qCbVK67p7OdoBiJVKF698RNdD6OqH4f/z70VYhWeMtfGPx/rxdo19aKi/BfjQvw/vq/aAds3haaZ+4GUUW9k/cw90SigSeSbRG86MBFmDOPzd0R5fAZzkgm4OAlIzhoyTA+8Q+HCNP2+kR65WxqsD6GITzl745NdB7cuYqiIU61gYD4q9ox7xXnSgItrfIBXvYwnVAgpkMe9wsAgO1TNWCEEZLj62c1vHZAPemF0Arc3BmQLc7ZD6Oenxs8LG/v3OCSILqzJSiRVJPn3ADw+l+Jp/ZIoFAbbHRhnGFEPJH0eevmRoJFMmb9Ls3bPfLrRqETq5yorpbTI8h8H1o76Jlg0pkLAPAmU1A3NgMzeLad6R+CwsiXgnUx11USSY0op08iqWTCtfc/PfsBtQkbfN5P78hU3v04AMCiiUfwT9+/vXtEUkiJ9Nxlc3H8voG6cZJ5Ih26wEIxZ+PHbzpG/Bg38degkhM1hdxNM6YMK5Hy+r7fTjkbALzmmGV44QGLxPMhxROJe0MF/05J86Gbsb+QokSqsBgprgNeKwwVHHiwMckJIrYnxTXAGFe9kzqFWXQjjIPnU+HPmvfS6M5GkeP3qJ1PKGfbIbvYtRlHqli+MPie71y1Ax/8w+roBX0SqY8+ohCbHt/vN0niaC8SOpRd95/AiquAn78GAHDZ24/H207aJ1L6Vulmh7ada4D/ORJYF9Sk15HDNuUg4ZLmwVgxjkTim0+nW523Ae5TM0dtFZ5w6BnI29hMWaZpvMst5xXwTjh+qD6fgqJgW3LxR3AY55svjjxfXrzlUeBzMhhAbRYbfTNo5WzBS+2Us222l+IH7tm43H0xACBHG1LRcOV7gcf+CHw/eA/jG4EfnhLMyxbdvdoG2xwr0A/4/++axzCOIbi2EjCd8XngBf8OnP1l7dpizsKPvbPwGz9Q8HAF1khIieQQH/VaBwMB3p2NeSJFoB6op5lBeuMJy0EHg9JIK42W80o3Pw4LPs6ufwEn174elDYwkHDHQYYqLaAGBzjnG9rr92+YxEMTLEC89pPAlw8ANj7Y0eHz7mzNynpj8a5bgfn7Aa/8AQBopbTbJ+uS+OsGed2mJxKg+35N0RKGCg7+4YiA3KjyjGWlC0okYaydpERS1rozv6D9aG5eUCq4wOsygQFIEolwXx2dBKK8e2JMVtwuzY28toou0Z7zkof6VHoqX9f3FRJpZoekSYcR3N0mkbgnUgeMtblJdZ7WOrcPtQAvCwMws+/eKYi1agjdI7+IP7NDNRkJ1pZ5mMAdq3ZgZzmGpEkBVDHW/vW/nIDL33G8UFLwfdxiSVC1Vw5veqKB75vhOZLm2t5oXs5GZ6AkAXQl0gTUcraCrnaaqb8QU/ZSy8FYJXisllZNd5w7fbZfsRg/LtkjbAg6qc7320/MtIMf3fy0KO3M+52/b11PJZFy2ndesbkSaSfw8K+Dx/7078P9d5Pz45G4EKGyszt+ioahTyL10RRhDkkNsDUiA4goK07YbwE+cc5zIpLZrpJIa+/UntbhiExMgObZsFI+uoiOeyxQbkx1Lfji4Im8fzpcCd4TTMNLeRtbwL77yU2ZLXC8nM2HhZ+6pwMAVvmLQWmQpVFNlBuw0fBo0AXwvO8Ic8oIqK/XI3cKCinASzh1JVL8fMk5Nj7vvgEfcd+BbbxkZmJD4BvAW7a7bPPcqZgNT3XoM7DMXRV5PH+5vN/W7gj+Ta3N7MgewOmfA5Ycpv2KsAfYOexwPZR3QEjQzcSnwe/paLmJSiLFfb3cy2kGyDsWlu4VmOTmy+mRSB5sXO8FXcl+4b0ENeRRQ17U0QNILGebQgF11wcOOlt7/bs3r8N9oyzQ3f4EMLUF+N27Ozp8MpPubACw+FDgP+4FjngtAOCUgyXRFyiROImUPnlNlcC9FV50nGyGsNuSPXHxW4/FAJv3ZYf7HHQhoyjWGTlmbW1RSaQBvbRtYGHgZbMbtgfzppsQ5QB5fPGax/G/t4TuKU6aLtbXFgCxMs41/mJ89rzDcAyLEfhBw02xVNynqgnrzA6jlVywJm3c2J1ufgKUtw2f/eGuNKiQ2vXOqwPiQNV4aSYHVEKEN9g8MoGpLnXHE8ba0yS+7KHg3p3HPJG2TFSbXd45KCTSAYuHUczZmMcO1hMiCRrcY56SjONNTzRwEims/k7T7y6iRNLL2dpVIoWhkUiKJ9LGMoJyYT4nZ+qL5MkkJA+355byTX4gHsPFUIddoUSKrqFSidR5T6S2PMBi8MYT9tae//dVjwvlbyEFEinwuYsnkURyqDYmRRAziLt3nyPV+ZMoRj0ufTeT6pSs0SeR+mgLhCAomdm6Qrw2B1MxFzFsfkQ8PCSsROpmOVvoAFpHTgSqQIJ8V8FwMRpk7vTlYtJtw2quDCu5yoZ+9pdiry3lbGyn7ODaJcPYOHCSyAfBFd5JAIIOPBRAwbHhhJRIAAJfJEL0w1QYWx9Pfm+mUA53fP8sKJ5ISZTjO160LxYM5rHnvJKu/vrbF6IXqwq2TpXOMCVSFXkctVfU58BpIxgohUikz7/icABBWedwwQGFJbKYXqVzhzyvEZSz1ZFDrNXS/qcG/5+BBBkAnLlBadVALQ1jbWkI/8HGO/G6+sfxc++lAIAFg3ksUkmkUjwZVkEB77jkHlQdPVBuQFEScmxb2bmxQyoDvFlmHF/1vD2xD5N775iqd7ecjR+C2pjjr37ZuVhz6vfhvvla/OnCk/G8veaJUrynJlmw/9u3AU9cn9ZwA3i8nC3hex9S1HeKkTkADC4KAvTF2IkLf343blrZRTUMJ+zsHP7vb09hc11XPlKb7Y3nfQc4+JyWv24b5uANx+2F715wNAAIfw9aHu3cmEPwfCgmrDM7jE6wcjaaRolsMwgl0uzL2QYHBuBydXAWJNIMVWBkKIgJ5pMJjFa6o+whMyzvyQ8F9+48MBJpPL7BS8chypSlopqT1CL+ZXHIiw/aTZhuR2J6KHN83d36G50sxw8j4okU2vtnuF8NJXgiffG6Vbpv4UxJbBY/8nV9MG+3pWQPY8FgsBcJc+0m5WyCaOpoOdvslEgfO/sQrUwSCJS/AFCklY5XEbg+TfRE2u4Voz/w4o9M+984eq95+PdTAnsCCgtebjB6UTf8FA1Dn0TqoymkEokAPzoNuPV/xXsn76UGMhRYc4t8+uePi4fzB/WAp9zF1qzh7GcdjuZDkaPNzcFHitEgc6JhAzZbpLpMzPByNmHcfPhrgH1eFHttKW+jgiJqhBvGZuChAQqHBBuGB1uYBY5gCpRSFHKWzAoDIrAUarVSE+PHJ1M46HFjbWqJ7mzFGDVaGMvmD+Cuj5+K//mno+TBf2ID8PevRC9WM0adKp3h5tTMV+gnb36+9nbOTqK/JDaN61lSVYXHjSl54OWVZ0kiPXA58P2XAGPrQJUD9dK5McbZ+50CvO5y4N23z+ifKi0I/KpG3PSUax5s7MQIbvMPBQB8+dVH4K8ffLGuLhmShOijdDlcauEm73AABJ5P8esHtgG2PJQ34GA7QiVwMX5Esxu/3jp4prAsgreeFCi+tqnlbBMb0yk7VcE+QzvZacsi2Pukf4Sz93HitR2sxGRdVZl7V7yjs2MMg5Exanc2DfOWy8eqJxgAa3gxGtSGTShKj/8G7/zxTSkNMgZsndlZDfahURoKpLkSafcjgH/6GXDuN4PnB54JAPjpHF1Jt4EuACFEZN5FVr3Wwax6CHo528xIpMW7B2qwEW+0Q6NqD5z0dWZhrM0xZyAvS3o6qWJoAkKV2G+GB1TCSNX5GMdoeWbNXaYLS3Rnm973XhjhSqQgThyvdof04ooYD1ZEPS2U+CwBWszZ+P2/nYRXHLUUC0h0HpBtjwcJ5J+9Wnvd37G68+PmiCiRQuvMDMvZ1JhGVSJVaA6u58uk80zjMp/HYcG/M39o+iokICD89l04KJqCcOVMbDkbXzPTKGebIdFbzNk45eDF+JeT9xOv8c9igXaW8ELYEyknSDgA+PvTY0Co7BpLdYKrHVgWwftPP0hU1jRyMfYEz0JfpD6J1EdTUFaKRAg0PyQA2HfIE7LBEkIZFuXwPxhqPV/tphIpVOpVDwXtuRYd5h7bGFUaTdVdKa/tshKJ168LJdKcZYnX8gz7Tptlsu/+SZpDi4Vqmr10wRDOPiZo/zyEKuD7KDiWCOgpsVDMB/NJEI2ESCNoDu59srWzqgwAWlcTbnSrZq+aNZSxLIKBvI31lJWfjK4NDBtVuHV9A+0UsedKNY9jEbzogEXaWNtRIr35xOXi8ZdedYT23ghT5PFW9v5sg4Ar3glsuBe4+sOweDkbzeGE/RZEryUEOOgsYN7e0ffawLzdg0DmYKxG7f5fz3jIsYjpsgUAZx62RHxnAoq30z04BC+ufw3/0niveG2s0gAU35gGHK2bWPAPVTtalmqxVvOtvOHawUIWMAfd2ZYAIIHiJm3yWvj0zCycKbOSmFGtG07KY/bi541AcQR43S+Af/p5dN5bNjazMuWv5r+LDzuXpzlSHYxEmnKDxWVnyBhbKJE4nvsG4K3XA6/+MQDgB9VT8ZLaV/HG+ofx8tp/ocpLHJzge+BKJJJmOZtqrD1DMmZoflDqO+KPdmhUbYKXs3XAE2m34aI4gFK+nq+7Jz0Tf0gTfAoybZNqAda5cAEZF74zacMSpOP0xszL2eYyEmmiKkm0L//5cbz+h7enEw9T3u3W1tTTHzzjILg5FruGEqADeRsLScJ9d9u3Ii9t35TePOHxjEiahFUfM7xv1e9iXPFEqiGH8aorzy0zVZTwZJ4fzJP5AzMjkQDgeXvPk6R6Ync25XMYpETiUMvaGnCEnyz99rHS96oDCLqzKcbayvd+2NI5ejI6NzDj+QPIUsNKbm70zT6J1Ecf8SDRPm1AdQxFFvyVwmSMIj8Nk0hdLWfzQiQS9MNSnjYPQuLGOl5pdKYd6AzAy9kKnESKMSvl4B43N+VPDl64/+dpDi0WIlgHsHT+ED748qBFrEUo5jpVVs7GNyxHEF/rdlawcYzVTqtZqNdcBLz24uDxVBrlSdLwlhvdDubl/LVjTXskBvI2nqGMLFh3Z0RFgMpOPevbqcOqUPM4sK2gw5naocJpQ4l0ysGLceW/n4RbPnIKXvt8nZycz+XVLJvkT3Vo3OPrBZFx4NKZex81w/Ceh4rHhd+9tbO/PNQFBwgMyuPKYNUSpTKKWEd307rgWYQAxTnieYPaURLJq3eUuCYx3jwzxfzBIODfPlkLMsVDgaF52iVtlM5OVcLvjZ10uMWVHUSrcjYAOOhM4OB/iH1rqrBYPH6T07wbakfBxj3lBvM9Mj+d0KHJsoBlzxdr+HAph1V0d9zkH4kH6P64+C2yZfgtHzkFS5cERtt2PT1ljEcpbMJLIGc2Zwpzg+9/jt/dQ4PFlDxObvak7+KRojiATo5uAzY9HDR8+NHps/7dSaCMBKOzOZwyj7D5ZAJfvDqFkvYY8HI2Ml1lBithngdOIsl489t/fQq3PLkdv7grBV8ttq77iqIaAP71Jfvj6xcElgLhfcTzKRYg4b7b/lTkJaecYikn6zYLp4Snt07impUhcsueGTnDzcUByM7FCFRJKzdPyJLzGSuRgu+9ykikeYMzJ5EG8zZ2ciVSPfhb+dQSZeMcY2l4IonyzdlRBHvMLeGHb5Sqnx1svyBTW4NmMx2C05iS+yCbG9e/72S8+ug98dXXHKl3C333bbP6t/gZpcJKmjX0SaQ++tDBk94DYaURAFTH4DITk2KYRFIyiUMhEqncTWPtEInUCB+WWmT1v3X+UZHXLr9rraynTqvVPMdTfwVu+R9REiLK2RqcREou9+KL3a8ddhCZ2iKNUbsESylVs+0c4BREG/r9hz0UHEsY4lE7hwFG2Lzxx3fihC/8Be+5/D6sHVP+hoeeJ41m0zDWDpExgC6BztvNl8ySSiKtukmqJDjK2/XgrcMkUl0ZtxrA5FqMm+OwpXPiS8oYxEG7U+bDSuBDOl2qxWFZ+G7xbfJ5J83wY5RIsQQSoPl76eb+AUbLdZ1EgoNtmBO5rpPdwyxGmrrT7c4WgwVMibR9it2v3erQNkvpvcf2MFE6wJHQsKATIMI7Y2bfuzV3z04Op32wcZeZEmlHiEQiToz/hIIPnXmQ9vyFB0jT8KVzS5g7P3juNNJT+Hpq1nqGJFJpHuu6RcdCbevTg+v5Yj/NdUCJlHcsVOxgPR/buRXY/HDwxsTG1DySiC9VxzMGVyJhDA+sG5MdhFOENVNlBiuPGiA1FFDXlEgco2l0bPO5hQCJqKctfqAOJUCP2HMuBkmgDrnDPxg3eEeJbrOqx+m76/8BgJXouSl5PClKpPO+fQsuvleP9cgMy9mOXDYXHzj9QPzPPz0XWy2Z1BnFEL7y5xWynG2mSiS2PtY4iTQLJdJAwcGWkCeiBwsvYw1PLAKce+Qect/qpHp2lnuqCtUXckLxoeok4XLuTqXKgs2N/XcbwldecySWLxzU5+nI7PZOfgYo52LOXn0SqY8+dPDtOdKJDQBq48Jo7NxDQyqC7U8BN38dmNom1EocXe3OFiJNakyJtMYPNpBn7OYLynH7yPIa3goaAB7fwb6ZtMvZLjkPuO5TwD1BOQCPV4USqTg38Ue5UfI2twQh5O3yIqcqkSxmBkpKwcH4XcctQDGnKJHsfMTc+ff3b8D31jFJLPeLYUEkOqWGUSFab0sypqAYI7YiYwbzDm7ylVKw0TX6BZUdOvHYKSO+GPJLDWCcFgqqVrjvmVEAwE7KApZOERnKfLRmmF1sB3cvfo00kZ3sYAbViyqRhmN81ABoSqRxhbDYd1GQSVyxeSJCIj1Dd8MjjlRSAeioeSPh5WwdUCItZEqkiaobrPGCREpXicQJGTJDdcNZhwXrupjbHGPpdd6i3Httul3xGKpDulLwivvWdeUwzdeZPz0arL1aCSDQ0rPrlIMX42VHBvPiqv94YcSvxWLK2ryb3r5ac33ZEXSG3dl4Ods8TOD/t3fe4VFV6R//3OlJJpWQhNBC772DBREREBXFrtiwoGvXtfvTXVexrF3XXtfuWhcRRRELTaT33gmk92Tq/f1x7p2STOqU6HI+z5MnyZ07d+7MnHvuOd/zvt+3vCo2Zsk1bi9JmvGxKQLG2gBOzdejsrTQ70MDke0jA1AjUTrcl84m2kgsUtpaWp0Na5KvaEEq5SFFJJfHW2db2AR49dVJwdej12uJDueO6MikHqI9/O7tySzXX5nv1bwVD68TvxPbMc/r95OjNEoV2vRKtuY4ymrcVKu1DPwNLR8rXDehB6cPbs8Rj51n3Gfwknsau9R2Ikop3EgkrV/XRaTkuJZfp2aDUqewhhsjVx7XlTun9Oajq8dgMirkq9qYIYLXrM+7rIUieyB92iUxrHMqpw/OxmQO+B717zgC9K5e4/8nVJ/eNmDxIkw/OT2yb2dlwIKJPg+TIpJEEow+ME0iROnPmlIuHtOZr284hltPqOXNk7cRvn8A3j/Ht0KtE1sRKXg1uUq7Gd3pvpJvPCN4wnZDg09PDSgVqVewAHy5vTEz1t6/AvBHIvnT2eqPRNIjaPaVBEQ4xLh6gDEgEkn3cbAlikFgEhVYTQYs+CORarcVgM88x7JnwE1w5Q9ig16tyFke+ZWwIDFGdI+WZohI8RYjBksCu7xZwQ+kaQaDVUXBlT8i5okkztuhmsgvF59JZpL/ht3USKT66NxGpD34zBGrI3TegTfdaEUiAdlpdvJIAcBZEsGBb7MikfwiUnWAKePl44Qh9aKt+XgDRGERpaJwve1heKAUMkW1vMiKSGLQ64lAJFJSnP8Yt/1nrV9EitZEQ8M3MW3h4PCMIaKSXEltEWn+nZE1Kw1AF+9aGonkSu0e9P/NH63hveVR9CjR8fjTfUGIj0Hm2rU9kULw9LmDWXHPRPpm1zUmNcaL+5nNHb37qtMdaKzdMjHDkiiiCo2KSlnxkUidWoN4V/6bPgYhbFrM4V+vAF6rGBfUlBVBecD7iEaqOPi8ViKRztbWIESkqETy1MJXna25k2pFwaiNV1KVCp+I5A4QjpzREJF81dkMoihOIHqasasyaCxiNCj0SNWq46riOt6nZgY/N74NQc5CS56L6Gn7qOWJVElwv9KUIgqNMb5XW55yn80j7gtQMVDhcDcvEmnTV/D+ecFjGO1+Wu0R463AUvPNZe2BUvLUlKBtJjzYzEZmH9+NETlpmAwKBVEQkfQIZW8LRfZALCYDn14zlmfOG4LRGHDdR7SPCVhACRWlNukf0PUEuHRe2K/05VoRWb22KOB1UrT5rxSRJJJg9EvzKuXTug86ylFUlX7ZyZi99UzmD64kwWrih1uPZ2IfcUOKiSfSgd/h5eNh149Bm6s0I8+l3n5c47qZPd70UM/2YTIaePb8ITx0Rn96ZPg9M/zpbLEx1t6+cwcer+rLvrP60tlS6n2O7mPj9qp4bJrYFMFUmKYQFImk3/j1SKKKPCwmQ0BqgZns5LppPlXYWN31SsjSJtG2FP9grjLCKW0evxij2wgFprA1VuVMURTap8ZxQG0b/EAbXUQqrBWJFHlPpLeW7AFgbDd/226KJ1JDPHHOIMAfrWGoiezN0qMqESlbXR9xZiP52oBs157dkTtwwIqvTqiKjkBQdbb2bf2Rm0M7+YVgp9EvZOgTdV9Fn3Arx4RA8Rk8hz8oD4wq+XpdLqQKcYziCH7eoVD16mwtm5gaDAr92yf5REYf27+DZf8K8+TqQU9nq686W2NPb9Mz6H871cxdF+W0QQiK1NQpCvSSMjceIWA0KEEpDoFY7OJaiPPGSkRqYbs3mijRTMWrig5H6MwaJum7m3x/tzSdpzZ6VHBNeSFUBLyPiigJY740mfDT2dJ1ESkGkUhGwoig0tKYM5UiqqsrYfcvOGr8i7JOdzQjkQx1I5GsdrBqAm55rbareRHVIK7jg2o6XjXgANqipW5JELVJc4AnEvgLeoAYKygRqE74z7MH8drFw3nzUhFttTm3DFVflG3K+/p4Jmz7Br67z79Nu59We8RnFk4k0l9P7kUewYvEfQ17g6LKTUaDX0SqzI9YJVRdRGqp91R9BOm9ERS9gqJwQy1GpnWBi7+AnHFhv9bs47sCUBhYVCK5k/gtRSRJY1RWVgY1WKfTSWVlJQ6Ho85+lZWVeAMuapfLRWVlJTU1NS3et6qqisrKSjwe/+Tc7XZTWVlJdXV1i/etrq6msrISt9sfbuvxeKisqMTrcjAZvxlZtUul0qni9np9E2KPo4JKp0qVKzikvsatUllZSacUq2/lsbiihsrKSqqqgqObamrEdpfL39N4vV7f5xOIw+GgsrISp9MZet93TofcNbDxcxxucb55pmwqNCNJVVXxOmuoqKgI+X0GHvfUge2Y3j+dOMXl27dCjcPpUaksLmjSdx9uO/GWH2bxloM4qqtQvW4sLuEl4zLZ620ndoPHt0pfY07B7VWpLDhU73cfVjsJ8X1WV1eDs0qIWKqC2WwU+6rxop18diUm1Y0JDzVulSq3kQy7f5Cmql68zhq8zhqKKv1tosbppNKUisuj+nyRmtNOVFVtYN8qnB7VF4mkqiqpFnEeqqr6JsoNfZ8ZcbDD6099dJqSqDSm4nCrWjqbGPxWOlUqi/Mi00d4/NXZvC5xHbVP9t9MFdUTVh/ROyuJzfdPICGpDW6vitFRAvi/+3DaSY1bpcRp9FfAaWjfFvYRZw/vQIGajFdVyT+wq9ntpN4+QhcDvIqvrdqtxjr7OhyOoNTT6RPGMqlnCu/NGunrF1WPi3yXRbQT/MJOSVmF+O51IbiqsFn3h4b2ramuwuNVcWnV2Rq77pvSR3hdDrzOGtxJWhpq0e4G+4gmt5N6vntHTQ2VTjVIRGpuO7GqLva5U9nSV0Smqqq4Z1Quea3Ovs1tJ6H6iCptXz2CTfW4mnV/cCR2psbtf600pRxnTXX0xxF6CWutvR/fNYki/BFFXlWp9/tsSh9hiksW32Utk9hQ32dL+4gft+b7RCSHNj6pdxwRQO3vvtSQgqqqFB/eW+/9Ptx2Enhcr9EqxhxOFYdHaXBfaNp3b04QwvSufQeYu3i1r00V5R2os69OWH2EJvhWuetvJ432EfHpeLwqFmcJXleN8JLTaM5135x9PS4nlU5VjDk0Gh5HBHz3mX1RVZUzPQvou/Ep1LdOwfDrE8RRwyDvZioqyuv97ls+13CLduL2Bhlr+/ZN0CKlyw4GtxOX+OyrseJ11VDt9HLQm+J7vtuaitdZw61Vl4oN2iJYROYagftqkUhVHoMY/3n9IhKqF0d10677hvqIOMXN8T3SyNAito+UVTN3q5jHBEYi1TvXcIprMdAvSr8XlTnEd5EcZ27aOEJ/awH79stO8qWq6dd9nis+aLFGdVaT77SKDAXVA9VFEZmTOh3ifQRGWEfiXrKzOp5Kp4rHq+IsPdzgvs0ZGzidLm1OqvoWOiIxhgy17+Vjc/A6azjiCIiOS+ko7iXF+c2Ya0Tm/hALPaIhpIjUTLKzsyko8Ec/PP7449jtdq677rqg/TIyMrDb7ezb5w8xf+GFF7Db7cyaFVwhKCcnB7vdzubNm33b3nrrLex2O+edd17Qvn379sVut7Nq1Srfto8++gi73c5pp50WtO+IESOw2+388ssvvm1z587FbrczceLEoH2PO+447HY73377rW/bwoULGdQ1i8Pv3sZe/Ok5U/6bgn1OOZ9vdvtEpGW/r8U+p5xBLwd3BDM+rsZut/Pee+/R172ZBZa/4lzzKXa7nR49egTtO3PmTOx2O6+88opv286dO7Hb7eTk5ATte/XVV2O323nmmWd823Jzc7Hb7aSkpASlmd3ybQ32OeXM3Hw8XgxYjAZURyX7nzqLVX8/LaiTuueee7Db7dxzzz2+bW63G7vdzpjeHVAdojMoVew8/IsD+9T/45Zbbgk6t5SUFOx2O7m5ub5tzzzzDHa7nauvvjpo3/bt22O329m501/94pVXXsFutzNz5kzftgylhOnjh/P6lcdiyN+OUctZfu/zb7Hb7cyYMSPouIMGDSIpKZGsGhH+XmNO5vPNbuzDz2bKlClB+44ZMwa73c7ChQt92779Vhz3uOOOC9p34sSJ2O125s6d69v2yy+/YLfbGTFiRNC+p512GqueupKPNrhxY8RiNLBq1Srsl39C3xfE95NWvQeL4ua8/1STdOcGtv3iP66rYD/7nzqLgy9dHjRQnDVrFvZ7dvLCCqcvEmnfvn3Y7XYyMjKCzuG6667Dbrfz+OOP+7YVFBRgt9ux24PTV+644w7sF7zB3xY5NBFJ3CB7dcxg/1Nn8caFA3z7/u1vf8Nut3PHHXcEHcNut/PeNeNZUtnet+3xZW7s57/KdfNqgtLZMv5Zjv2GX0P2EVdddVXQcRvtIwIiBA69di12u53ifVt9++5YtiAifcRNdz7MtzvcxFUcgL1LWLhAHHfMmDFB+06ZMgW73c7nn3/u27Zs2TLsdjuDBg0K2nfGx9WkP1LErqX+vmf9+vXN7iPat28ftG9gH9E9IxFLSha55SrHXXiX6CMCuOWWW7Db7Tz88MO+baWlpb52Um8foYm0Tq+B/U+dxf6nzsLq9d+UH374Yex2u+gjFAVmLYALP6V7v5G8OusYcuJFu+6UFk/Z71/R6dx/cvVc8fxKLfV217PiPe8s1QZ0VUUh+wiAHj16YLfbWb9+vW/be++9V28f0fOqt1h2wONLZ/v888+x2+0t7iMGdUgm76N72f/UWcz9bYfYWHaowT7Cbrfz8ccf+7atWrUKu91O3759g/Y977zzsNvtvPXWW75tmzdv5rx73yHnmYqgqJJZs2Zht9t54YUXfNsa6iM+u/FEypZ/zu+droChF1NQpWKfU4793uAoqjvuuAO73c7f/vY337aqqipfOwkcsDbUR/Q4bw4FVaov2izn4A/NGkccM7AHXT7v7dvWhjLm3TMj+uMIrZ/Zun0P+586ix+fviHIS+qySy8POY5oah+xfvsB7HPKOf2VXRwp819HM2bM8I0jfPu2sI8wKP4066vv+WfD44gAavcRFaZUSh0wZvK52O12jnnke1/1rYbGEXa7ndJSv0gW1EcEUHsc4THZeWaZE/uccq6+75mgfZs6joDgPsJiF6lWv2/czamP/MSMj7XxmxYlMGjQIOx2O8uWLfM9P6w+QhORJr+R16xxhN1u56OPPhIbEtJZleul3cOHyX3tmiBPpPr6iFBjyOb0Ea9+vRr7nHL+9bl/MbXBcURgH9FuMFUuOP2xn7n+8f9Q5YK4pU9yl+kD+i+9hycuHBOyj7Db7S2ea/xrcRH2OeVsmPdeUDKbbxxRrUW1Fu0K7iN0EUm1cOi1a9n/1FksyPW/v1d+zWX/U2fx2X++EBvKD4OqRmSuEdRHaH45k+9+n/1PnUXxtpW+fZcd8HDCgM51xxEt7CM6pAiByl2cy2kX30L7J8uDIvHqnWvMKSfl0fKgiJpbXpyHfU45//5eCEsp8eamjSM0avcRaclCoH/4Fwf2OeVc+l1wlM1jF45j11Pnsata+44q8sKeawCcOec77HPK2XnQHynf0DiiqX3E/311CPucchbu9nD4kGivkZhrXPX+buxzyvlogxs6iTbU3HFEU/uIknxxDbz3rH9OQXIHrptXg/3y/zR9rhGBcUQ4fURjesTWrVtpClJEkjSJXLRUjDNfhbSu/gf0dBzdwLqB8PCRO5+lh+EgMwueitJZNkyNlqd84ehOPHxm/7COVWmo6+cQcVS/EpyqVKBqyrAdbaBnMDfqI5OgVcarNoWo8hRlAqvweTCGTAVLdecHpbzVF/5bVOkMuT2iFSkCcGHCVMtHaHS3hlMfAzkcUD4WU8AqWlVRdCr6ufVIJJPvc26b6A9FdkU4ZD6pcje8OQXem9H4znUIbQBsivLdKCEtO/IH9Xki+U++djXKIDqOhB4T62wOld6jR0368PmaRb7NRyKdDeDFi4b5/vbqJqVVBVGtdKbT0nS2QI6U1fhSKGJBnM3GinsmclLfzMZ3rkUZ8az1intxmhLlKqE6Wtqsnr5pNRkpD2inhnDSlID4FNHHGvGy4UB0UgNS4s2YFD09qeVpvtXm4GIiB4ureX7hjqgZnLsC7yNhfs46XTsJ4T1eCV6NVqNkrO0f04SRXh3gA2lAjY0nku+PFnzuI2aF3HyxaYH/H917LVJtR/ucvSGqswGQokWJFmwL3q6lkVXjvx8d9vrb+bKD/ohnAAq3w/KXInPOgWjjGY8aRjtpIsmhfIs0caxJBFYJ1j53l9bMw0lnA2G6/r3HXyE6rU3bkPtVGbVrImJpqOK9qxHwRArEbPG3qwRnIZWOukbzzcbrT0/OHXIjZIU3t2sMvXCNFwWPJQmsydBuUCPP+t9FUWNS0uPPT1lZGcnJyRw6dIisrKygtBaXy4XJZMJq9V8gevhaXFycb2DlcrlwOp0YjUZsNluL9q2qqkJVVWw2m8+kzO1243A4MBgMxMXFtWjf6upqvF4vVqvVZ4Ds8XjYsDefU19YwleJjzCYrXDOv6nuchLe107Gmr9G5Of2nY6n51RqPr4SpfM44nOXondCNW4Vz+37sMQl4Hz5RBIK1uLxqtTckYuiKMTH+wdGNTU1eDweLBYLZrPovLxeL9XV1bhcLn766SemTp2K2WzG4XDgdrsxm81YLJagfQESHvdPGB1ulbecJ7Jh4F38d0M+147vxl9P7uVTe+Pj4+t8n4HHVVXVt+/320u48cM1XGD5mQfUF3F1noBp5keNfvctaieuSmxP+1dQ1saN4omUe7lx/40MM+0S+95T0GA7uf7j9SzcWsg3fb6lx863cAyfjeGkv4X87sNpJzU1NXW+zzW7j3D98//hx4S7qFLieWnMIm49qQc1ZUUo/+xGvFlhf7uTWbBf4QK+wZM5iH1nfsWU55Zon7sX1SUmLacO68ILFw71t5NPrsCy7SvMUx+BMdcGf/cJfqPXUO0k8Puss+97F2DevYB7vFeTOPoy7pvWp8F2Eur7/Pj3/bw6bylL4m4S++aciKv7ZEzzb8PaZzLqviUojnIRCg3E3X8YgzU+6Lv3er0sXLjQ194b7SO+vQ1W/5vHXOcw7Lz7GN21DTabjW73zAdgRKck3rpkaNh9xD/+PY+/HbjMl5fv8arUuMFw35Gmt5OaUuKf6+Pbt8atcsCTymtDP+eRs4c22KYa6iMa++53ff0EOb/9jc9rhqOc+SpnjurW5HZSbx/x8xz49Uled53M36rPBeDmKf25+aRejbaTwO/zns/X8+6SnaR6iljW5m9UWTMYWvCAeH/OGr6+4Rj6HfoUw3d3Qd/puM54rcn3h4buJYffnEnnIwt4Lelarr7tkUav+8baicer0vPOL3C5vfx850RyXukF7mo8f1lJTXy7Ot+nflyDwcB3333H1KlTMRgMzfruP33wfKY6vqFgyLV0PvuRFrWT57/fwrOLdnPOyC48Hv8O6m+vCv8Gg4mEvxf4Ju0taSehvvsjn95Jl51v84FlBhfc82az7w8Oh4NbPlnH+bvu5ATjWgDus93NnddfF91xxGsTIHcNF9fcwhLPQJ44dxBlX/yVmabvAdhz5RbapiSFvO6bdC9x1lDzQAaKAt+f8iunjR1Y7/fZ0j7imZ/2cfnyKWQpxTgu/QF32z71jyMa6E+WPDeLMQWf8GT1KTzjPgvFbEVRFF6/ZDjHdkttcBxhNpv55ptvmDp1KqqqNum7L3lqFPFFm3F5wDT7J6ydhtS7b5O/+/3L4K2pbHNlkOEtwGb0YDMpFHWaRNrln7RoDNnQvpc//CpvOG+j1JKJ6cbVTRpHhGwnj3ShpqyQ6c4H8bQbxMJbxzfpuw/8Ppuz7xf3ncJJnl8oHnMnHU69u8732diYo+bpYXjytgMQb/b7xzk9qvg+z3kDq7MY5t0G01+isoeIBmxqf1L7u3c+0BaX08GJzidY9s8r6+676SMMX98M3U7EddY7OIsOYmzTGdvbkyB3LQuHvcBtK1IoqHBwnfVrbrcKT9T/c1zIW44TsSs1bEq81t+mbs9tsJ2YTCbmzZvH1KlTcbvd9Y4NfG3q40tg0xfcVXUh77lPRDGZ2RV3MUZFpEItPX8TQzunNXrdN7WPeOXnnTz09SZ6Jnv5omImCRYF7twHtuT65xr3pojv3qKIwheA48ubcS9/nbeM03ncdS7f33Ic3draWzTXiI+Pp8td80igmizvEba7s/j+thPome0X9R76chUv/7SbH9r9ix6Vv8P0F3H2PSvsOelvD06gX/XvrBr8d44956YG921uH+EqPUzCvwZhNCgsPvEzRo05Pry5RlUR1Q/l4FVhxxVbGdS1XbO+e9/32Yw+4piHv+FAUQ1zZ/VmYOe24HHieLwvbsyY7z2AYhTtfcqUKb5UuObMS5pz3be0j2hMj3C5XKSmplJaWkpSUv1BE5FZfjyKSEhICMpJtVgsvkZQe7/amM1mX0Ns6b6BF4OOyWTyXWQt3Tfw4tUxGo3EJSRgMFuxoq0km+PEvhmdoFAMXtn0BcbsIaIzTUgQK+Y1JQDYTAq8Nw1m/4LXJkL6jAaF+DhbnZXjwIasYzAYSEhICMpJBbBarUEXSeC+4kWsPp8Yq0nBgI1y7RAmowFFUUJ+7qG+z8B9x/cUj+W5E7BYFCxqGdQ6j6Yet759fd99ZXBq4KDq5cSlqz4BCYu90XaSHC8+0yOeRPoYFEzuEqj1XYf67pvbTkK9j4T4eCwWMyaDgkc1YjIaxL6pbWH05bDyTTrmfsvlJgAF4mx0bus3q1MUA4pFnH9gJJLNZoM27cCo+FaBgr77AEK1k/q+e6vVitXsBaOCy2PCZm5eOwHxfSYn2slX/Df6KpeHlDbZYFKg/BCK5omUYNH6EUcJaCKS/n3Wbu+N9hFahIATM50yUuvsX1jlCXmM5vYR3uSOmA75+z+jQSHBQpPalK+deIPN6G0mBbPBgi3ge6qvTTXUR9Sm9nffpXNXlBUKHayVLCnzNLgv1N9Ogr57PRJJMWHQ2mpNQNRXU6/7NgkWFKOZEmMm9+e8T05WGiwQ17nBYsNjtGJI1ny2yg836/7Q0L52s4rRoODRPJGac92H2tdoUOjYNoU9hVXklrvJScqGop0Y9ywiIXMAdBoVtL9+3MD23tzv3mZWSFAVCgNWTZvbTjplpqEYD3C4rAZy+orv3gLgEYaliZm+fVvUTgJISEggwSz81dxaGmFL7g+vXDaWL//PP7h7sOZhSLgj5L61afE4Qkt3cSgJ2OLj6ZiRym8BlZNSU9JISAj+fOr7PkP2ERYbalwyCZ4yXKWHASEihfo+W9pHBBprW+PisdY6RlP7E1tKJkqhQralGoPB/5rvLtvLiX0yGxxHBLb3pn73DkMCKUYFixFI79zgvtDE716r1NXTrEceib7dqFVOCncMWWdfLf03zmLGUuucm9VO7G1JqCmiLTUsya/klZ93ctVx3Zp13TdrX5NKglGh0uY/lwbHEbX6CFN6N2wlO+rsa9G/z7I9sPBBsfGL2SQ8cH7dfZvaR+Rvw4ITi0XBq8aF3jddq+5YvBvz57Mwb5sPF3/li0SaMKALq04dR86dX3NA8fs7linJGCw2X4EancbaSWB7b9IYUotE8prjfddWOfGkUCnGHAkJdV4znD5iXPd0FMXA9jID8SkpUFMKZblgS65/rmFRqI3VCFaLgtMt3ndKvKXFcw2dSuLYacjBYCFIQAKIj7djsNgotbaDSqB4b0TmpHazlwSPgikgcigS95K4uDjirJ1BW4Qc98OZMPIgpgR7yH1rE/L7rCoizqxQpsZhi7c3vC/NvO7r2Tc1KYlDFVBkagv2DPB6sFrMWL1ucBTiihf9anP6iJaMI8LZtzE9oqysadHNMp1N0iB6nFoWWgqFWbuwkzsG71h2UPw2WnzVKHwcWQ9FuzBb/BdkSVGEq2rVxhzcAbkw+cKeLWFUqrLbTBgNir8iTZTSqQBw1zKwU+LpX/27f8P0Fxs/hFd8gV/u0CbN0aq6EgKPqvoG6x4MwZ+7Xv47EKOFeIuJ5y8YwumDgx8vDvBEAnxlfiNfnc3vLWQztyw95sTemUHVizbty2OFPkY/LLxqCtQk8lVtAhiJNhRQnS0wDS9DS5M6rmfoMOjmYrbFU6E2Xsa7QVzVdTY5MQdVHYkGSqLwdcumkO15EaqqqE2KvAG30q7pdW/YjdHG7h9QfLS+hAp38GdRVu2CJM3zqTxyVbgUzSg50EAzXDqmiUHlvqJK/3X+9a3wxiTYPLeBZ7YQLYVAMbb8PWQlizZ9uLQGhl0KUx7zP1h2IJyzC42velJ463iBptYxwSlWKSuxYjUZyEyyBbV9W0OpnE2kSksT85ZH517l8kSgOhvQNqsDAOlKsAl4z6zEULuHje6ftdE+xl+pMVwSQ6dRmmqiND5T9TTCMKce2hizDWKi8/C8LVFLIwQw6ufdwqp4pjZdG96hcEfwuLmmhempaz+EF/x+MapST/vWK2cW7YJt87XnfuC7vrGIPnzu9cewT/X7Q5WgT9Jr3as9biG67P65ZeddG80TyaGKz3tkTpq/IjJgNkZ26ppg8X9OugBAeW49e2uYAsZB+veljx9Vca2Gm8520ehODT6uWxcUmDXP2pK9Yb2eju65qhoiW50NqJOK68nfHt7xtPFzsZrYaPXkSJGoVeAtq9ErSxshWdwPKNlXz7P+N5EikqRBVFQuMi4gVbtZ+/wiuhwfvKPe4ZosIk+6NnmbMHj9QkBRQZTL4oYQkbYeFhPH2l43zcFoUOianuC/mVZFsaSjO9hhP16t4vqCvwNwIPtk6HtaqGcFkamJCAVofioV+ZE9xwbweFUyFfH5eDAEizKJWXWfoJVtnTYwm1tOCi5hXccTKUEYgkZcxPOJMUZs5pa1k+R4MykBefZGxcud84Mn/pu8nSmKpIjk1iORTEHn/dHVY/jryb3468m9wn8NhMdWeW2vHhArd02lljgKoT2oIk5qDgDZSgH78yPkIePxf+43ntiDy8d1YeqAdo08qS5nDA02Ba90BEdKlde4IVE7blluxEv5euqbbLQAXUTbVVDpF750Vr4ZsdfRMWgDXkMYnkgdUkWb3p5XQY0HGHU1dBorHszfVv8TW4gSoc89O7tD8IZouxNoBSuqsGE1GWhrtzLXMxoQfZolAtdwjUX07UpldHx5XB6vz1ibMEqFd+woooHSa/lRVdREwOcjFNoEdX36KZE7pjVY8NrgzQHAEiURSdHFmHD9y7T7f5pSzk2m/7DRehkHNi1r5Ektxxiu6JjWpcGH1YIdQV5PFO9p2evMvyvo33oXB5Ky65Zvry72lyjXzqVfdhIHDf4FvR2q/+9n3Gf4n1txBF4aB2+fCrsWtezcg05cjH1rsDCscyofzx5DYoA5caRFJH3hA8CtV65rTEQKbAv6IrrPI9GI3WoK+zwfPL1hfx+jJsgUmLXvpThSIpLoaxRTZD2RQnF4z8bGd2oIbfxcRFLE20V9JNnE51IWYOpPiib4SRFJIvGjqvAPc8DA36yp77WNxMq0DtdohY6j6x4ob7NY9dB3L4pyRIwpOFrCqZqodomBQLgdTZ92Sf6KNI5SsQoTDbRBY5FaN9TTZUlp0iHuniq8Z/JVbf8YRiKpXi/vWB4FwIazlogUIhJJNw4GOrdJ4I1Lh/P0uYMBEYkUtNIYtUikQDGm5QPd1HgLL7mn4VYNPOi6yFeqVaeYRIqJXDSbV0vddGEiLuC8u6Qn8JcTuvsM1sPFbjVRrtYNM6Zkf9MP4qqqs6kSa9QjkUjMwmuyYVRU3MX7IrNy7dVXHk2M6daG/zu1L4m25g+8kmxm1j0wyfd/Sa3Iu7Ialya8KuI1IySe+iORIjdY7NpW9Fe78yvrRhwW7gzxjPBQvHokUsvfQ6eAScQxj/4o/mgnUqk4vK7Fx60PxRMZEen4EUOC/neWRznCV49EUm1YzUYsJgOb1BwmOR7lAufdQan+LcUVJyIyDFXReS8uj4oZfQU5jM9fixwZYtiBAb+oW1gRHRN5RevjA1NMIs08j0g3NXuqwVHRyN4twBeJFKaIpN3//9J2DTeZPiNBcZD/zcONPKnlGDQRSWlpe0kNLSJt9wqRXTm4ItjkuqyF0ab24MgyT32fs8HoN9fWObLJf2+2pYjzUhTyPfFc4ryDWc5bORAQlfSU+2xcdq1/L8/135MiEG3qqNHSZjGTbhdiV3mavzquKcIRJ0aDQhuRv4wzQXtPjYkBgYu8uujn0e+nprCjkIBG+1M98ibfqH3vEY5EqiM0RorT/dXO3Plhjgm0+0SRmog12tVZNJK077Y8cMFAv8YLwoys+pMhRSRJ89DFmVo3Kw5qaVYmC5zzjn/78XeK35u/8qv1QGVJlAe7avBKvjMgbcASZkfTu10ipdjx6iG91VGKRvLUqoQRQFNFJINB4aLRnTiii0hVhdEZHIZADXidZKUqWJRJChGtkdYt6N8JvTOZMkCsCrk8KmXVAR12giYi1Z5ohBuhEZjOZmr5QDcl3swj7vMZ6HiNDWpXykgISgMrVu3+lMjKCIhILq2tqOawxK/GSLAYg8LKfWJyaXNEpLqRSFWqLeIDwzooii8aKd11iOJIVPUJaC+GMCfQdovJV0nnizXBk4iSKpdIpbBrg/iAvjQcDD5Pp8iJSF2CIpFqiUil+yMuuiu+CV7L270xQMAsqHDw+q+7/W07NwoikuqfbISDretY1IDUoLMe+5QdkUrVrI3b6Vtpr9bS2XS2qR0pITJpXMZE0caVKC14OAMjkcISkfzVOu8wfeD7u7DSEWrvsNGFR4slzHTi2pz2PADrrUP4j/kUqlRNpIpGJJhenS3sSCTx2WeUrPVtqigtjlpKm1FPmW1pe8nsC4oRDwY+94zzbd6idgy9f0tTaGtFeHsa6tdrR0eVaqKJYgBrcJrsT95B/OAdRm2qrVoK3vw7/Rv1lLgwKK8QfVgNFp8Ys3/UA/zHcxznOu7DHKHqhIHoi8vVidrnUljXw8qHqvoWkAC/ABhQrTU1ITL31G9uPJZEq4k7Jveu85i+8JZr0u6zZQfBEX7/r4tIijFKgvWQi/go7jwALCXhiUhebfxcgj1mkUh6OltJdcCCQUZf8TtvU0zO4Y+CFJEkDVLnnqyniRkMMOLKOvtjMIk8+ws+gZlf+EP8NC8YnZqyKKdV1UoFC/SosYbZ0fTKTMSLwS8CVEQpNc/jj3KoHf3htiaHekZIMhNtFJNEsTkTUOHAikieZf04g8WqoPSwxBAi0oCz62yymoy+DrsgcHCu+wdUBrSjL/4CT/eHqqIWn7IvnU01YW1hOhvoKxQKVT7TWYVDahvf46XY/dFJjYVNNwE1IJ0tmqsx8VYThYFRVbo3WnMikdx1PZEqscVkAGDQVos6K0coOrCteWl4odDaixsj4QZSGQwKdkvwJCVNWx3NLdU+s6SAwWIE8KdVRU547NpWiEh7CyvxxtXybvG6I3buOnqKjCEMTySA9in+PvbBuZsoTtYG7YfXRSx90IfuiRRuGmFqZ5TLvqEa0U7SvAX8fe7mcM8uNAH9eRXWsBdj6iM+S1QkPaP6U1Svp5G9m4/L5cGs6OlJYUz0AjxsrjZ97fs7apFImh2A2RphEWnoTHiglAF3LeKMkT0p0NOsKyIvInnc2uQ0XBEpPr3Oph6Gg+zMD1/ACIWezqa0NP0xuQNc/i2PdHiRXzz+iJoS1c4Bte57aXEkki1Y/GmwX6/dN/uOkRLkW3NmrVTrQCqs2mJy4JjSFf53YNLaukM1+6wM7Cltuc01m+Vqn6gsOOn9WWVijtjQkIjkqXWN1xGRTCRaIyMi9WmXxNr7J3HN+G51HtMtAEpJ9I+p88Lv//V0NqKYznbAJvr5uNLwIne81SKduEyNxxyjSCR9oezln3ax/Ygm2mVqItKRMNPz/mRIEUnSIN7aKlJgmtgp/4TR1wY/rofy9ZwE3U7wr5zXwl0RRUNqqOO7EigiecJcrcrROhCfKFAaBeNVCEqtusJ5m9+IGfBYmm6omq75Iu00a744MVLKlVoiUlC6UmD+/wn3wtU/+zvhWqRrpsNBg3N9EFlT6hPbWPOumKAua9xwvF4CDKqtYUQijexSd4B2KGCwWKIm+A0rW+p/EIBXF02N5oiklNT7Ol6VOe7zqVYtqKOuCcgDb0YYtR6JFBDi78YYFA0SNdqIgdg/zG/S/YNx8GaY/iIB12gkPnddMNXp004I1QeLNRFJ/8wilBam+9TVa8DaArKT47CaDLg8KgfaHgfdJrAk8wIOmzXBsXh3xF4LAkSkcKJKgHk3HBv0/4iX9+M2WMBRFvlzjlA6GwCdRrPWJFLvspRiymsCVshLD4YvlOpoEQYegwV3FMXq1Bx/qnzp0rcifnxPYCRcOGKGJTjNXK9gW1ARnUgk3b/MEmkRKQC71RTgnxhZEcnjVX2iYNgiUkKbOpvaKUWs2R7Z61QnbE8kgI4jOO/0aaxSe/g2uRQzu70h/CFbKiK5g8UNc0PCeo4WEdWmB/Sc7N8elxK02+R+Ic5PY3/S0LobI2AxYPCIMYIDC5cfI+55bRMDKiNGIdpaTw2rSMgRGwp31u8xV2uR2ueb54tMNta5l4eDoZ6xkT6m9nhVyOwnNtZasG8JpminswH58WIsZi/bFdYijUeLvKogLmbG2uO6+8fyZ7+8FKfbCxna51+yNyLRYH8WpIgkaRCHu9ZKoJYrXe//7WuFvNYjIqnhRIs0hVo308B0tnCNL7tpnh8HdVHg69tg27ew4bOwjlsHt57OZmK52oexjuf9D8WH/lxDoYswe1Vt5TRGxm9KrbDmoPuxosCJ9wv/rFFX1fXYCkDPVdcH5z9uzWNLmdFf4aWqMPjg4bw/bRBQ26C6uUwf7F+9655h58YTe7Bf9a9cF6pJ7I+giKS3d8UUPb8MECswu9RsBjlepfT4v0OaVnUmb3P9AwGvF/b8CtUl2rlqIlKKP5Q/RzkcfU8k8A+0dI6sh9y18N8bYddPzT+eNiEV6Wzhn5691sDz0rFiAL2vSPOqaKOVZm5olbQZ6IN1lzFyE1ODQfEJgjd+tg1mfs4Fe6exuUYTViPR3nWK99BdFde7IQyTZBCG+FMH+CdMbkysdueIf/YtDevYtYmUsbZOpUX0Je2UIlbvKxEbC3bAc8Pg3RkReQ1dRHKbhH+ULrJ3a9v8aoQNYe7oH0M4dvwS0WMDeINEpDA+f0WBCz/1/dtdERF2ZTXuuuOmcHE7yXQLYcFqC+FJFyGykm1+/8QIp7M53B6fd1Q4lRSB0J6KQO621eEdtx581fzC7GO6tbUz/QR/OlvPRCe71ICobF3MaSxasyIfVr5VN3Ws1uJpg0LvoAtEKuN578HZb/m317I70KNhQ7EidVrdjREwdzZp96VpQ7swtpsYZ2cl27j3lD7cNLFHg+fUUixaf1Ye30F4djnK6hfzakci5W0SlVp1j0HV2CJvxOaiRyK5PCpkaibch9fBtu9gyfMtLrRg0jzjDFGMRKqI70CNasbkrYGSPS0+jqpVxqtUbVFJcwxF1/QEhnRKAYTVwPLdhULY1uwSlP3LY3IefwSkiCRpEIfLyxZvQN527Ys0cNUivReMD64OQUJosUOpiWJVM1WtG4mk+m/+/bLDL4s865gufhGp7AC8fw7857KIhJL6CPBbmTawHX07tOEi51086LqI0vbjm3yYNpox4S6Xdr4RquDQGIrLPxj5xdOf7JRag99jb4FZ3wYZaodCP//CCgdLdhZw2ZsruOKdVf5w7MoCccPXCcd02O03qA5ntWtEjj/SyqgoDOqYzAqvv0LaBrUL+1QtFDwCUQ6qdt7RFpFGdRUrwE7MFFY6/aLMzh/gm9tDP2n1O/DWKfDlX8T/vjLCdkgWkUwrvL1jk8+eESLa7eNLxID8ncarHdYhKJ0tfBVp2xH/NbPqvpPo3170VdvzKrj2vZUUx2tmqBESkYxuIU55jJGdmKbGi2t29b4SvF4xkN2rt/dImWu7HfDMILopYqBvMoUvyDxz3hCGd/Zfu795tZS2vUvCPnYgipb24I1QGqEzQUxEsxFRADvyKkTJbne1SDWJxKKNlqbi1tqKPkF98aJhjMhJ5f0rRoX/GgBWOx+1uQ4AT0lkUx8BPO6ASK0wzNgB6DGRorbifZ+WVexbCc8ri3A00vcP+P60RVFE6pQW70+z3vljRI9d7fRg06K1DOYw34MupteiaPdaUYQgwhjVMI21A5gy0F9RcWByNbsDRaROY8TvxhbCvpgtFj6+vjV4e60ImQarJRpNIpWxba/gasa1xMNBHVPqPURejYL72NuDUjspP1RnEbdZqCo2r7gvtc8K9l694tiu3DSxZ6hnhY1Fu3Ydqtk/Tji0KvTO+uesGMQ4xlkhxv4+Y+3IRiLVh97fuL1e6DhSbNyzGN4/G767R3jRtgCTns4WxUikeKuFbap2LRxqufire69WG+LrjdiKNIqi8M7lI+meIQIKvt+k+fflHCMe37c4JufxR0CKSJIGWXug1B/Fc/6HdXcIDOk+7z1/9TadhHTAf2F7tFVMs6MksicaiMcFBCvwgZFIYwNCEVtKVpKNrzxj6z4QWGEjXAJSq47v2ZaHzhjAr94BvO6ZiqkZK3lttUikLQ5tchSrSKSAFS3HcfcwsEPTfZwCSYkTN7L7vtzI73uE+HiguBqPXYsaKDsYPEkKx3Ml0Fg7DBFJURTevGwEfdol8fjZA+mRkcg33lE87jqHK523sEvN9kcmVRf7o3Ra+nq6aGqKXqqDjl7JqrjSGSzKrHg1tGny5v+K31vmCoFXF5HM8XDpf/k07Qoec58bm3S2tr3qbgsU8WrK6j7eEHo6mxq+sTbA2cPEoKpzm3jSEixkJdl8g9F56w/z1lZt0huhfsao+VO5IiwiPXv+YN/fhZqnxTbdRDZSngG1rnOzNfz3YDYafOnKgF/4jbSPnL6SHSHj0gKbEGN7GERq9Y688uDPJ39r+C+iXbcugyYiaZGaPTMT+WT22IjcV3Vc2cMBSCyPjFgaiBoYRRABUSC1i4iindWz2helvPVwhNMZlvmrGcXHRU9EykiysVnVhOotc8FZt5JmS6lxe0lQxH1KMcc3sncjJKQHmT+r7UcAMF79jVV7I79A6fdECj8yo1dWIpuyTgcgceId7FH90Y/OnOPFHyX76qZMBbLje/F77QfB22stnjbLt+y4v4rfJ9wbtNlsNDDnzAEhngDvLN3LkF+GU3DNRri/RIw/VG/zCm3UxlXti1gzxYW/4NtU9M/K5fFCe63q5cGVoXfWit5gjof2Wkrfgd981e2qsJJgjV6BEx2TtqhfVOmCzuOEqFUY4DG0c2HLjusz1o6iiGQxsdKrCYL7lrX4OHokktMYZp/STBJtZu7UzM6/35wnTP1zjgPAsP27FkeB/dmQIpKkQR6dvwWzL5Q3RIcSmB5Sq7qWeI45KNLEo0UeWJwl3P35etFhR5paN1LweyLNGNqhzmMtoUNqHOvUbrxkvCD4gdIIrpzq1dlUMxaTISgnvDnzbT2dbY9b8xEo2RuTDk6PRFptGsTEk6a22DOmY5p/0PzkAv/kuSJB8+Mp3AnVASJS4c6W51gHCHf2MAcBJ/TK4Jsbj2VghxTap8ThwsQLnuks8IoJUiVxqLoZYv6WsF5L0cQAb7grvE1ATzv7cMX+Ov4J5IUQCJIDrrmiXQGRSAmQmsO8pPNwYIlNPrs5DqdBDDb2e9vWffzAb807ntefzhYJK6rHzx7EvBuO5ZsbhT+PoiiM7eb3/9jkyhIDxcr8lvtm6KgqJo9oN25DZNvNsM5pdEgVx1x3oASATV5tchoBzwagjuAXqdLnF432l77erJ9z4c6GJ3XNRUt7iFS6wDFjxeSzp3IQBS/55Y7gUsP5EYiQ1a5bfbDeYJRDmKR2EuOKRHcRlEe2SpvXE5BqFgERSdGEdFPBFvq2E5PejYeaKUY3g/jElKgdO91u4cvAxbEwIgRqU+Py8E/zy+KfcNNDFcXnbwegjBHenMcb15H52xxw1S3eEA4RqeYXQN+r3oRbNqN0G88Sbz8WegbzgfsEjnu7UIhjqlfcK+ujvsWiWn1Us6J7x98NV/wA426s89D5IzvVG2lYXuPmPysPaN+J5vcUjmgd4KVpjbc3sGNk0T+rvUVVfluO+sQNPdLKaIFO2vWyc6Gv3VVhI94S/Ugk3f9uc26ZGItl1/Ko2vNr88f6qooV0Y6MluiNJ+1Wk3+RJpxIX629uE2RTatuCuO6p2M1GThYUi2iyHtNBqMVpWArSdWxWaxvbaSIJGkUfz54iAFv9mA47wO4ZmndVDed0571/WlukwNAqlLB+8v38euO8E346hBisK+LSJGqKDO+VwZmo8IrlccFPxBJv48Akz6ryRiUB17uaLqvU5zFSILFyAE98sVZEZn0hkYwaOkP1Up4N6Irju0acnuJtvpO0U74+Z/+BzyOlpfIDYgsiYvgIKC+MFtPhp7HHt7E2qAJp4op+iKSLpb8Z6X2GZ/xiv/B/SFEmMDQ9n3L/NVbLOKm79LSnUwxymd/rvur/MN1IWc4/173wb3NnNwEiI6RiEQC6JudFDQAfeiMAQzTUqxK3RZ/9NfBekLtm4q7BkWL2HRHod0MaC8WD37ZLvr4LWpHvBhEukR5BCpaOoIn6pGIRAIY3DGF5XefSFaSjSOk4jIngeqBnx6NyPEBX99uMEVmpbdLzwGoJhvxioPOyhH2FVYGr0hHMBLJaRAT2HAKDzRGTvtM9npFKrznl6ciemw9EklVjERE+Q1I6Z1h/BmA3/dG9v6qBkRz25PrqaoVAexWE06Tne882iQ6d23Ejl3jChDvantntoT0gLSm7MHssIiogD4736Dqi5vDP34AeiRSuL5rPgxGX6XNJy8YyeWu27nLfSWHyx3UJGvjnYaiTTXvFSBYMNPGAVWJXbjaeVPzxrsGA3QYDvX0SV0a8D6r1MejenGUUItJTUU3SlZtxFujFwlTGz0995FvtrDarEUi7V8eeqysRyKZrNB7qvh7+/c+U/Ea1RLVKrk6ndvU+k4GnBX8f+EO2NNMXzm3wzfnM8QlhnF2DZNgNbHM21eMCY5saFg0bQBFay8uU+wER504i5Ex2iLfwi15YEumuOMEAHIKWhYF9mdDikiSRtFN1uoth9t7ar2VtQC/4RugaDe/FEWox0XRKIcbIhJJT2eLVMceZzFy9vCOFJFEmRoQRtmcKlWNERCqbDUZglaVnO7mRdq0TbTiwEKeKiaj//khsh4foTBoKwQ1SnhhpvWllR0xa+bVhTtg67zgBwNX4ZuK1yMmiwjhLsES2UnS+SM71tnmahsBEUlVMWpGlIYITaQb4g4thNfHoHP9IfDb5td9gjMgtWP7t77JqKqlNLi1aMRolO0NRc9+Q3nNcwoFJAf7vUHo82+IAE+kaBXFS7dbuWuK+MwPlVYHhM+HmWIVkKriiYKINL6XEK3fWrIHgBqsFCVo0QN7I+AZUCsSKZICamaSjWN7iFTszUmaEe7aDyMWwalokxAlUpGDRhOKJma8b3mI61dNDa7Ktvyl0KmmzUG7bh1KcDpbNOiVmci7imbau/rfEY0s0T97b4RSCcno4/tz3Ib7sOFg5d7iiEZZe7Uo78NqKomJ0UvxURSFtnYrG705YsPhdRE7do3L6/dbOuHu8A/YbrD/7/g2rFX896X4jR9QWh0ZbyRVVX2TaiVSIlIA0wZm8+1N/sXIjU4tvS2vgejkQBuJQIFYW0BdO+qffOsdGbFFU4B2yXG8eOFQnjlvcND5AlQ5NYFQX+A4EkYFYG3cWImN+AiPwRoicOHmqd8d4r2oXtjydd2dAyORsgaKKrXuap+fVDXWqFSQq03PTH878HhVGHB23Z1+fLh5kfkBZu0ma/REJLvVSBFJbI3TBLsWFiYyaBkPnlaIRAKY0Fssdvy4JY+ft+Vz5dYRfK4ez8bkCa1yPrFGikiSRjErDUQiNYWkgEoaWmn3FMSFnx+Ncri1KycgIktAVHiIFHdqE7sH3Rf5N0YyEkkVHX+iUu0Tv26a2IORXdI4qW9mQ8+sQ7tkMfDfrZnbLl4WfeO3hGKRQlFtCD9XeUr/umVm9yl6KliIFbuWGA8HRLA5MUc8HPnOyX3qbHOkayLSgd9bfmCPE0ULtzdao38j7aOlbAQJsn20Cd+O7+sOBgKrvez4wVc6+q3f85n+wmIqtQForCKRThnQjpcuEivh8zy1QvSPbAjdnupDm9zWYIlqdTndlP5AcTWeDqPFxhb6HQBCYFj0MCCMRA0R8PqozbE96qYL7rJrEQgtqYRXm1qRSFgjuxI5vpcYHN7huExsKDsYERN8AIMuIkXSw0yrcJmtFJHkLRHbAlPQt30T3vG1yUWN7okUxZV2k9HA6swZ5KvJGF0VIiIgQnidQnBXI/XZWxODUoBmWn6iyulh7row000DUF3inK/33hrVCDAQhSw2qDninwhGIjlcHl9Ej68oRjgMOAvsmSKdyJbMuOMmBT386Bdh3FMD8KoB6WwRqqZYm15ZiTx8hvAd2mrQhPb6/HjA570DBAt92gKqA9GfRzrldMqAdpw+uD29shJ9kaYQICLpC8a5a1r+Itp4oUKNi7GI5H+t0mqXX5D57ZW6IoweiWS0iGjGYZcGPVyNhbgYiEiBY9Rql4cqcwovuEWBkPJ+M4Vn076lsGhO0xdAtEW/atWC1RK96mx6JdqfrZoP2IrXwFU3AKAx9IwHjzn2kUggbCsAVu4r5rtNh/ld7c3NjqtZ4cpplfOJNVJEkjSI0aD409lamg9ujoO22gS6+0kA2JUazLjZW1jZwBNbSIhIpHKEkHFciIlNS0mymbl+Qnc+8RzPDU6t8lThjsh5Z2gl7N/3TPCtKN00sScfXz2m2ascepTHZq9IAetn2CPCdL0emHc7fHWD+DtSHNlEu33CULkmAn4rD58xgCSbiVMGtOMvJ4hB1ha1E6CIaiA6faeL3y0Z/AasdrsMtoiu4oEoIT4yJ3jwXJmlVdTI2yjK9raEgAGlyRp9c8EkrXStw+31R8S17S1W4wAW3O9L1wGCPA5wVsCmLwDYXQZr9pewdn8JELtIJINBYXL/LAZ3TOG/3jH+B3Q/hxWvNv1g2sS6QrX5yu1Gg8wk/4T3wa3tAUVMHkpbmLb5r7Fi0IYwAY2GAJadEsdFozsFbdukrzpu/y78/iYgEqkaa3B6SwQ4pkc6RoPC5gI3jnbCuDccA9BAjL5IpEiKSIPrbFIHX+j/RzfjbSm6iET009kAumUksdirpYo1N820Hrxelaoq8T4iKuCd9HcYfjkA9xjeIoFqPloRhrlwbbQ+3hSDRYI2CRbWebWUqrzNEUt9r3F7SNC8VvRU5rCwZ8BNG+BSESmSNXIGHxsm+x7ev35R+K8BuI9sJscgfLlM5uhPqjcZtH7swIr6J/4B0SJBfjL6ooZXE5GiKPQOCCiUUu3Uohw7DBfj1qJdLffsC4xEskbfV0gnUEQqq3bB0EvAnCDus6veDt65diGT4bPEvhpVamwikQJ9JMc//iN9/+9b/uk+h9McD3Kf+zI4WSwU8fNj8O8zYMu8xou46CIekR8DB5KtLWx/7BgDSR2gPBd+fbJ5B1FVTJqIpEaiT2kBHdPi6Z2ViMer8u4yvw9SWeSLRP4hkSKSpEHGdU9v2BOpqVw6F25cB9lDfOJIChVsyo1wFRPwd/B2f7ROnprCKQPb0addZMMzRblRha+8YylRE4TRbpgmyT60XN8iNTHsqJgrNV+hjdoK4xWmb+CxLvD6SfDby+ImGcmSvjt/8P3pUcIfeKUmWFj3wMm8cOFQMhLFjfu13wpwt6k1cexzqvjdksmedjNyqGZsUVqBeeiM/tgDBkYOaxpkapVPWhpZoqUluVUD1giZCzdEYNUR3dgRRYGrtdz70n3w+5v+J+hm872nBR2nmuBzjYmxdgBtEizsVtuxZNAjcNrzcMoT4oGVbzU9HVIbcFVhi2okUmDlurfWVrLFqq34rvp38w/mrAryDEtVKiLm51Sbu6YER9+tMQ0W0ajlubArzP5Gi0T63jOEKxOegfjIesUkx5kZ2ikFgO027RptbrpjPRi9YjJtsERQyOh+Yp1Nz/xew6JhWmWvnQvDS8fTJnfVii4iRXf4mJlk5Tev1n72RSb9uqDSgdGrlZmP5GcPMOY6358bbbNYvzfPl6obLoomDphs0Z8opSVYySeVoviugAq7f47IcR0OB1ZFu19EasJnsvi9OM02nrfN5lOPKLM90hCBcVh1MdaX/QsNxkiKvrXQI1c2kyOqNlYX1T+WDBSRdPNkZ5VvDLOxVEQgBhZjiTTZAVH9Lo/Wr8SliPQu/bxagKda9OsVahzxMRBidAIFq7JqFyS0gRPuEhvm/RV+f8O/OKZHV+vRr3EpMEV45pUoKRSQjC2K6b46geOCAs0aRMXAOrWbmGcNvwymPCYipnb9CB+eD4/mwHPD4JPL4NenxH2hstB/0ArhV1isJkZVRNL9nPaUunGfeL/Y+NNjsPyVZkRNVfii8L2W6KXeNcYpA9rV2Vbpiu14trWQIpKkQZxuD+bGPJGaQkI6pHYWN3xbCiB8kbYfKRelESOJHglkTeSzkR9yruM+jhvcmxcuGNriCmH14e/EFX8ln8MbInNwzdOiXI33lfluKcM6pxJnNrJJ9zrQCQyZXvRw5Kq2BazyJhDZSimBA6Mv8zL8DxhM/olU0U5R1WfdJ/DG5KaJAr7KGlYSorQC1iMzkXX3TyLdLgZ5DrfXb8y47qOWHbSmBIAS7MRbo7dSqmMyGnyrdtvzAqKM4lJgqmZw/v39sG85rP3IHyk29vogQ9AgLzHAGKN0Nh3dqH51ykkwdCZ0OQ66TRDpsB9e0HilRVX1hX5XqHHNq4TTAtoFDNqfLx8v/ljxWuMri7WprlsCO1oCWILVFOShVew0+NMEFj8TVn9TVCRMTHeq2RRZIlN1sza+lLYt3cWGTV/CkTBMYzVMmpAR0eo3yR38kZgaxW4L1y6OQzWYRdnwFpqXAr5omGotEimaEwyA9QdLWaaJSOq+Zc1v5yE4XFqDTRGffUQjkUBUC5v8iO/fVw2PcLCwtIEnNBGvF6NWRdEURaNbHf3etN0uqojW8RtsIe6agHuFOToRs3Fmo094HG9tgS9ibYqC01ej+fnr99QKlwG6iOqcbK0nBTUwna10v/BU1Cb/mOPZrnXxQzqmROdkgZljcnx/HyoNGON1O0H83vxVi47r1ESkSuKID7NCbnMIFKx8flqjr4V+Z4pqmnNvhn/2hHdnwGdXiscDxdAhF8EFH/PXhH+gYohJJFJD85nDZdpi+qir4dplMGq2VkFbFRkTGz+D7x8QEUqPd4Un+8EH56N+ItK3t6odo1qBMyPRis1swONVOdD+FHF+qPDNX+HVCUK0K9rd8BhBi0Z2qwYMrRSJBHDKwGAR6f5pvRncJgqVx/+ASBFJ0iAOtzcgEilCE2ttxbiNoYIqp4cDxZEVGQJDTXPjerBc7RPVVdNnzhsMwOF4LR0mXMNbDVUTkcpIICkuPHEgwWriu5uPoyqle/07HVwJq94J63V8BJi6zks4IzLH1AgUkZZ6Awzd41LFT7aWMrN1Hnx3j8gJ/2hm4wfWVveqsEY1F99gUEjUUsIqHG4YeK54YOfClhlSaqJAqZoQMw8B3QOhzrU77DIhxLiq4K1T4POr/I9l9IXpL4FWaWibGmxqbY5iJE8o0rTJUqFu7q8oMP1FSGwnKuP8a4wwpczfGnog46r2+ZZVYot6Ot6X143z/T3fO4LiuE5QVSAGt80xzqz2p6dUmttwj+tyjFE892vGd/N5UJVWu0TEhtEiIhxaKpwCZSVi9bRcjcfdnPffDPQVxo1qDl97tNTTZf8K76CqikkVbc4UKWNtnekv8lT2E/zXM5rDaipfe0ZThQ1Pey0dL5zoL61/rCQ2kUg3nNiDXWo2W7wdUTxO2DI37GOaNnzEHNNr2j9RiNIYPgvi0wEYa9yEcdVb4R8zIB3YHJfcwI6RoY3WLy6N07xKNn0VbNLeQtw1ov24MUbns0cIm3oKZD/PJiGchkOt9x1Nz0FddKhyuaGXtrC04dO69x6v1y8i6eXl130kFs0A7JmUaBHCyfHRq26WHGdm7vUi6mv1vhKO6KJF/xni97bvfNXKmoOrSheRbFEVMWqTElD92O1VhVG1wQgzXoOT50BCW3Hv3PG933c1LaBysKJAz5PZ6hULGrEQkUKRoY2PD5YEjM3adBORUjesgr/uhIs+gxPvh35n+N9D2QHYOg9Fi/D93dsrqgsFBoNCpzQhJu8rqhIC/KR/CIH50Coxrnl2MDzRG94/DxY9Ctu+9XlqAr5o5HLiI1pNubl0bWv3mZwP65zKRaM60b71NK2YIkUkSYM4A0WkcCKRAtFMFYe1FQP/T1YeaGjv5qObs5msItKD6Po36Ka3v6H5N0Qo/FtX2cvU+KAUqJbSMS2eH+84mRJjA2kfy18O+3UAX3TMK+5TKLE0zwS8Mbqm+3vnRZ7B/gf0ihl9hLEgGz6FCm1glb/Zlx4Ykv2/+VJValRLxE21a5OkRZaVVbvEDb7PaYhVmNubXkWpeC8sesQXGVGCPernrXPaIGGWX1a7Ao7RBOe8IyIivAGPXfAx2JKg8xi4ahGvd3uO3Wrw6k00PYVCkaYNsIsqAzzMErNg1nfCX8ZRKsq6vzASHusK750NPzwoolGKdgsBB3Cqxqj5CgWSkWjjh1vFxM6NiStLLgXFKFYU3z8bDq1uWmSPHomU3ouXR87nPc/EqJ+7HvW1Zn8JE9/cQ+nwG8QDX14noqla4I9kcYvJdRnx5JY035CzKeSkJ3BMdyEKvO7WIwY/gbLclh80wLPPFOlqipZ41pkHcr3rBkY7XqAAITqUt9eqKe0Iw4xd9ypRxSTFGuVJ0mAtiuK/Hi2daMVrYUfKdl/1MJ0N2iQkChUJMVngtu38ahLnnP3bw3WqCDYbvYS1aiQ+LvrVN9MSxPe70tNdeFm6q2HJc2Ef16ulADkNcUSrlKXRoHBAzeBXTz8MqD7ftxZT27w/Eobg9aAvAFU7vWJyb44XhR52LQre0R0gDoyYJX6vfAvytAWoxCyfgJAc5uJjY3Rr6zcznjNPFFIhs79YyPM4RLpUM9HT2RyG+IhnDjREZq3UvwqHnoFhhDHXwi1bYNYCmPYUjL8bjr8Djr2tznFqXOJeFot0tlB88Rex2LS/qJr3l4cQURPSRcT+sbfA2W/BDavhzv1w6Tw4+WFcXSaw3Nub/3rGRD3atEOqEJEOllSLPmHs9XDDGpj4N+gwUsw5Kw6LohCLHob3z4F/9oAn+sAHF8B3oipwuRrbqLVQvHjRMG48sQePzhjYqucRa6SIJGkQp9uLORKeSIEkClFhSmcxIHx/+V4c7giaOuv54ha777jRXDXVb9S/OntqpoI764RBN5tDq32liD3WpKDc53DZNfz/8KoK33mG+Td21UKQ8zaGl/Kgo63glaoJ7MyLrHl6G7vVN5kuIJkCVSt5rK/SDjhLTK73/BL8xCXPhz5g4U7hDfWTyGlXUaIe0aNHlv2+t1hU8Zn4gBg07vkF/nMpVDbBZPu7e0XVjW9uB6BYtccsEkn3b6h2hbhurYlicHLp1zD4Ipj8KPQ82f949mCWq33rPC2Sbbwp6GbVuaW1BIiUTnDlQpjxOnQ70e9Psf07+OWf8PHFYoXsaeGTs1tth4oh6ulsEDxo/13tjXrmK+L8dnwPr4yHJ/vCRxfBd/eJCdSO76Ggltm/bpQbn4ZHi+CJlieSTkq8/96xI6+Ch8qniRVrrwu+vhXTS6Ppc+gTlJ0/NGzkG/A+FIcWqakmcNkxXaJ27u9eMYoPrhzNKrUHa+klJkdf/iXYPL45OAON8CMvCkwMUbkzL0sTkbZ/ByUtMHxe8boQTwkQkaI8wVAUhUSbiQ88E/Ca4oVIuv4/LT9gdQkWZ4n//yiUawfAYODZ1Ds5rKZi8DrhP5dHxIuqEhtJUYws0dEjkYqqXHDC3WLj4mfCNjcPEpGihH4PecujGWwve0nc31tKgAD4tHp+9NoMAfdUp1tE6w/Rqv7OvzOo6Edg/0G/M4SnorMCvr4FgMPeZPYXxUZEirMYyWkjhIAv1mhp64oiRBaAZS82e1FVF5GcxugXCQnkmB7p9G+f5PvfUXtsYzRBx5HCQH/8HeLaSKzb11b7RKTYixrnjejoi0QCuPvz9U17oi0JcsbBmL9QOP0DznX+HyVKUtQjwdr7qs4GtOnETDjmJrhiAdy1Hy6bL6KUBp4nCrjoxXS2fu0rFnGI9Ki39cbo1tbOzSf1pHtG61SJay2kiCRpEJfLhUHRBkCRikTSfFH65c8nO9lGQYWThZvzGn5Oc9DDvy12X/UoaxRXBfRqVYccVtQcLZc9nMEuiAmhhjHCpasHTrqEvo43uMp1K19YT0NF4RXOwNlJm2is+SC8Fyg94EuLKyPen5sdQQIn09e7rqfI1pHScfeIDSmdhJBUm1+fhD2L627P2xz0byW2qHki6eht5sVFO7nu/dWsrEiDM18R19jm/2J6fgijdj6B4edHReTDgd9FGK8+GfF666R3lJJAXKxEJN+qaT3ir6JAzjEw/QUYPbvOw6HaRKyNtTtqodT7i6rqPmgwijY08zO46wBcsVD4PQ2ZKUqpB5ROX+AVYmysBLwld07w/V3c9TSY/YsQZAxmMbja/F9Y8ix8favwb3h+GPwjUwhMb06Fz68WT45Lxe0V7SnakUiBIhJAhcsLZ74Gkx4CWzJK8W56Hvkvpg/PFYb/T/UXIewL/wEbvxATwWUvwT8y4LOrwFGBUYsSSE5N57oTGkjTjQBDOqUACrc5ZqEaraJwwLszmm7AHogWpVmuxpGUEPmJ0tnDOtbZlpfQE3KOFaLd9w8074CVhb4JKkCpW7T9aPeRAHariSKSyBuo9SFzb2p5pG/J3uD/I+CxVB+2uHjucYlqbexYINpxRQvHOFokUgVxvvtGNGlrF5PQI2UOUaiiz6kifeed00Xka/GeFh1X1UQklzGKIpImhn/vHcqv3v5C8H3/nNCLeqoauqS41ysWaH592heJ9JVnDB/Zzo7aeYP//lHp9Aif0PF3QUKGMNd+d4b/PejjW3OCuE+d8k+xaKbxW4H/3hRNY22dx88e5Pvb52/a4yQYcA6oHnjvbAy/PonF1cSIvCqRplxlSonwmTZMvMXE3OuP9X0PNa6WpUjrkUhxrSAiHd+zbZ2Ibo+3eQJ2QYVYqEm3W6MeCdYxTfQFu/LrWWg2x4no9dHXwJkvw1+Wi/HYZfNFiuHAc9kT15fn3dNbXUQ6Wmm9JELJnwKvO2C1NVKrMKli1Vg5tJJruu/hvtIsFu8sYEoIh/sW4YtESvCls1mM0evQ9c7L41Vx9DsH2+6fhCncmL+ApQWTBGfwpDYxLrIDAZPRwNMXjWX2uyu5qfRc7uF0KjfFsSNuGI/xs6jWNuZa4S/UErYv8P1ZpCY1sGN49Miwsz2vgqXefgwteRQ+hd961ZCRZIOTHhRCnuoRg61uJwjR5d/TYcSV0G86ZA0QN6mAMumltvY8WnYe7aK84psUF3wt7S2sZNjQU+Gyb+Cb21EOrSKrbC38sjb4iaY4IZIpis+PR2e/mkGPGKWz6elJL/+8k9tO7tXs5x8KkX4UWMY+FnTWVlBzy2o4XFpDZlI9gyaTBToMEz86Hhfkb+HnlWt56hfRxmMVep+dEkdmkpUjZQ4+X32QdLud0896Q/QbB38XvlrFe8RPyV7x21UFZQfFj05aV7xuMcCMpicSiImpovg10PxyhyiyMPY6GHYJ7s1fk/vT23RQjqAU7RRmsaX7RRh7bdZ9BLt+IkMzku3QLivqYfc2s5G2iVa2l3dgz8SX6fLDNbD7J3h+OHQYAZ3HQfZgaNNDpKc25HWke5iRUEdciwQWk4HXLxnOVf9e6ZtAlFa7RLTj65Ngw3+gTXc4/nYxCW2MWuJLnkdcN4kxEJF0oWpXn6vJKl4pPvO3TxP9d/8Z0H64SEHVrz1XtRB4Q72vgAUELwqG4++I2nnbrUbmeYexuts1DNn5oohgXPEanP8BdB7bvIPpIpIa5+t3o4neLxZUOCitdpN8xsuiv9s2X0S+LtL8YdK6iQXBlI7inpSs/+4Q2vNIryIaxQgT/2Khwi3Oa1ie8TBK4Q54cSwMvVikjbcfKq7PHx+Cnx+HkVfDSX/zX7P7lvrT95I7AZGzFGgIW8AixOIdhRzTIx3O/bcQkPYuhmeHQKfR/ifo47NOo+HUp+Gr6wE4oPjH0e1icE8d1CEFgwJeFRZuyePEPpniejz1GdF2t32D8aeHmYwCh58V466UTlpb0dpLUrYYhy24j/RdIrqkwhS91MGGsJmNVDk91LQgO8Lp9voq1cVCZK+NXbNJ6N8+iQ0HhWh3sLiaTm2afs3llwsRKRYC5KAOKQCs2FOMx6s2LRrdahfCUmeRMvy3N3/j1+J8TouLft8oqYsUkSQN4g0M2Y9UJFLX8b4/p+e/zH3czy/bC1BVNTITsUARqTr6kUg2swGTQcHtVSnKmUZ28qOizPlPj4rBSXMJmOh95B4fFYX9uJ7p2l8KlYjB03+qh/Fox94o+VuEV8nZb7dMOAxIxVqul2iOAl/8ZRz97v82aNvIh39g+0NTMCdminSqebeJ6JGhM0UEw5a5sOwF8YMiBjClWnrHmOt4znUhS37dzdX2KItItVaU9Yg5Oo6AKxfiOriGrd+8TN90A4aSPcL/qOyg8EMo2Op/YrcJMPZ6/vvJ6/y75CT+GaNomFRt8uvyqBRUOEi3W3G6vSgKjaZ15ZXV+Fa7dDqkxsVcRGqTYMFiMuB0exk95wduOLEHt5zUs2lPNpohawC7Uux42OSbeMWKzmkJHClz8OBc4YOhqjB9SHtRYa7LccE7q6owOC3ZK1JVD6+DinwYfS3un0uA6EciKYrCroen8uj8rbz0087glUdrImq/GazaG0fW1KmY3ZXC5+vIBlF16MhG4fehewnZM/2ViACPPUKLD43QKS2e/HIHGxNG0WX2LyJlcNt8UUihdjGF5I6Q3kOE37ftJbxlMnqDLdknIpWo9qiJAif2yWTDAydz80drmL/xMIdLa2DgcHE/+u5e+OkRUT1p0HnQcbT/3EKh948ABjMbXcIPzR5mxdCmoE/cK5zABR/B17fBmndh4+fiB8RkOrmjqJS0f7kwtu5zqhBrOgyHFK1q6pr3ALjXdRnp4y7jpj6DQrxiZM97WfYlDKn8VbTjmhJ4cwp0m4ChywnEORPE9vaD/WXqQxGQzhaLiV2izUx2so1DpTVsyytnRE4anPeB8F5b8br4jCvzxc/+ZSGOoAhhL2sgtB8mfjL7Mu7AKwA4LNEzB79vWl+mv7CYKqeHPFIpu+BrkuddC/uWwPKXxI9iEOKXnrb/28uiLQ0+H3pO8XkjAmIchzDujXZ7twcsAC3bVYjFZKB/++HEX/kjzL9DFN7YF5BSmJTt/3voxcIgef9vfLl8AODk/StGYYhBirjFZGBAhxTW7i9h+e4iISKBWEA9733Y8B+8y17EcGiVKFhRsK1Jx62xtnARM0z0iGjfmKwZVDn9fpaxikwORO933p01isF/F4u5uwoqWiQiZcRCROqYQpLNREGFg6/X5/q8NpuDXkkv3OJDkpYhRSRJvWw4WEpFVRXocztjhAa8bbqJUN1Fc0gs3crLlqe5uXA2Y+YsZNndJ4Z/fF86WwKO8uh7IimK4ksLWXGgktMnPQifXAKLnxYrMsfcInKOG6JwJ3x4oTC80/yJyuI7c0fRlUyMQucYbzHx0Bn9uefzDb5tXgyUnPQ0qR9OE2LLu2fCxPshe2jzjDDLhensM+4zKCA5agPf+lZ6/rv2EGcO7SBWKq4JSF87910RJbXmPZESUV0UPEFqP5SijcKcO9orvrVveIWVTv8/igKZ/dmZMYVeU6diMGv7up2igkbJPvFTkQcDz4GUTjxlNlBIZczS2UoDDLW3HSmnsMLJyU+LNJMdD01p0CR7+e66nje9s6Jfuro2iqKQnmDhkOaJ9OwP27lkTGfa2JveXvM1Mez4nm2jco710alNPL/t8X+Oz/ywXYhIoVAUsLcVPx2Gizaj4fKIY5gamsRGCEVRuH5Cd176aSeFlU5W7CkSE9TaxKUIf4YcfzU6vB6RzpHQRniHrXybAz++yrLKLDxJddO3ooGe5lNc5RIC0QUfQtkh2PGDmFjnbYbC7cIPTo+k2lnLyDq9p28Slaum0TuKEY9xFiMDOiQzf+NhVu8vERvHXi/Eom/vEcLcgv/zP8GaLET15A5CBEhsJ6Izvr9f+wD6wFlvsP9f+wF31CMzwD8p+nFrPpP6ZYn02FFXwdoPxedeuF2IcrpZPEBlHvz+uvgB8X4NZqgqwKVY+MozhmsToutbod+bylyKSL3Yu0SIdmveg50LMe5cyCSAjUB6LyFgdD8JMvrUjaLS3lu5Gk96M/qmcOiRmShEpCPlmI0GNueWcdqg6SQMOAscFaJEeNFOsbhRul+7J2lt3lUlxgDlubDdv8ij906H0kaTE6Xz7pmZyIYHTqbHvd/g8ap8sl1l1qVfo+xcCOs/Fm2mqiDY9zGpg7ivLn5G/ITgoJqO2xOeqXtjGAwKd03pzZxvtvD8jzt4/scdnD44m2fOGwIzPxef9d7FQnisOAIjrgg+QM4xkHMMBYuEeJAW5YWwQM4a2p61+0vYW1grLclggIHn4OlzBt99+QET+7bBVLJLtJWSfWJho+xgnSp4B9R09iW0jkGxvgjm8jRfRKrU0vstpth4JNYmURM6U+ItTO6XxfyNh9mVX0mCtYiDxdX1jxEC0Mc0sRCsbWYjVx7blScWbOMfczfRt11SHU+hw6U1fL/5CJUON+eP6lRnAVYfi8p0ttZBikiSkKiqyrTnfqUtQllXFQNKJE0Fj71N3LBdVZxs+I3rTZk8WnY+r/+6m1nhmqTqFTWsSTGpzhbIe8v3cfrV0+HI7fDzY6I6xdIXhBCT1kWsHsW3CfhJE79/e0VUEMvfDEuFAXSxrQOgRCXlAeDCUZ1ZuDmPH7b4vRp2WHox4uy34NMrROrAqxPEZKLdIC10vZNY2U3tLP4OtXqtRSIVqOKx964YFZXzB/jXhUO59r1VQds+XXVAiEi1URToOUn8qKow8C3cIaIaFCP0PoXC30REQdRFpFqrmo9/u5WhnVIZ061N/U8yWcRqY2BZWQ3dmyghRulszoAB9Ru/7uH7zUd8/1/0+nI+vGpMvc/Vn9ku2Ub7lDh+31vMaYMbH9xEg/REq09EAhj2j+9Zdd9Jvu+/qNLJtiPljMxJC7mqm1cWu1W7QHJqrSzuLqjkSFlNs6O5dN+HWJmAJlhNpNutFFQ4OPulpfxn9hiGhxKSamMwQnqA79Goq3h4xzDmrT/M32M0eNQjESpqAqonJmWLKMehM8X/vn5luxCL8rYIT5P8LWKyFLAKv0nNYWyU+5lhncVq/u97ivyRvkMvht7TRPXKHT+IcsoVR0Q1wrxSUVwh5MEuoSatF+UO4c2SEgOT55z0eH7dAXsKAian7QaJHxDpa4U7RLW8soMijcqWLBYJDqyA3HVBE9TlccdRVm33CYLRIlWv/FjhFOkX+n1n7PWw/CXUPYtR9IjSgq3Cp+r7B4RA2m6QVh2yHHLXiIg8hOg4IjE2wkCfdkn8tC0/aJHphR93cOGozlw6Noe47MEifbM2qio8bYp2CSP0gyvFT9EuUL2s8PZkS5dLaGZCX7MwGBTizEYqHG7+8fVm/vH1ZtY/MInEHhNxuz3kHthNYukWXv56CRtN/bj3vCn0LFokFs52/SREppROLJn0FYkrX+TQtpXM84wiowWiQnMZ0D54PPXlmkM8ec5gkeaTqo27GsDrVSmu0hbCYnB96rRNFPedvHJHvfs4zMmoPSaBOUR/7agQomNcGu+sLeX/vtrEZGv0rBAawuITkZovGpZWCUGjJVFMkSAxQGDp2lZUMd5VUMHftYjltAQLxzWy4JWn+VXGQkQCuPyYLvx33SG2HanglGd/Yfbx3chOsbHlcDnLdxWxKdfvpfXrjgL+Pcs/n1BVVUTZAplJsR2DSQRSRJKEpKxaDJStivitRCoKScdoglOfhc/EaspEwyoe5fzQJrfNRa+oYUuiUivTGe1ym1aTAYfb649ImHAPZPUXhpoF20TYd8jQ7/rZRxYgJtvR4sWLhjHggW99YtvZLy1lzyOnwjVLhPfB5v/6VxVDYUsRYlKb7pDZT5R3PbgagEJVVJXrmRm9KJOsEJ9N97ZNWGVWFBHVkBAs2hRq5d7bRHkVr1ObhDrbzn91GY/NGMg5I5ofWaG381hFIl00uhPP/iBMhQMFJIBlu4qCUlO9XpXyGjfJmhiqrxwN7JDM/53aj21HyjmhV0ZMzrs2oVavPlqxn2vGd2P1vmLO+NcSAGYM7cAT59RNf8nzhX7HNhVv+pD2fLbqIJVOtzDABf69dG+z/alaoxxxoha+DvDQvM18fu24Rp4RmnJNzIlFREzg61Q4GqjKFtivBPqXgEgpPLiSsh1L+WLJBt5nMjdE+XrV/UqOlDnIL3cIvzgQixcjrxQ/ICZxZQdFhEDZQSg/LEzayw8LUazfdBhxBQcKxf3ZbjX5UlqjyUWjO/Pusn2sO1CC16vWFXLNccJjJWtA8Pbep4jfbqcQaQ5vgPJDPPGbuD5C3TciiR4R8NHv+7lram+/4Na2F0x7CrfTyaIv3mH8pKmYt8+Drd/AvmUiinrf0uC0JY1Dahva2mPTz8wY2p6XfgquanaguJpH529h46FSnjt/SGjrAUURJcQT0kUlK41Vuw5z7ivLcWHkb1H0p9SxmQ0EZkxPfvoXFt85gfv/u4n3lu8DFED0O5f/ew2LbpuOqf+ZQgQr2cfc7Q6ue2cTcLz2A/ceV3fxJtL071B3UW53QWWTKz6V1bjQfZRjIfLqZGgTeH1RpdlY7WDtAcC+oiOAEvVrtD7qi0Q6VFJNRqK1kShrYQoe7apmgTx5ziBu+Vh4Z6YGfOdd0sUYM7Bo0fUfrOa9K0bRv32IxV+NWI9pEqwm3p01ils/Wcsv2wt45ofgYhWKAr0yE9lyuJxfthewdGehb7G1uMrli/7KTomeYb+kfqSIJAnJ3iKx8mfWIpEilsoWSL8zRJnGjZ/TzZBLCuUUBab1BGD47WX6HFoG6uTGjxsQibRPE6X0SkzR4qLRnXn9192U1QRMMPqeLowcC7YLH5LiPZqXQIFYrasqFAP0qgLh95HQVpRGX/I85G/hK2U8IELLo4XFZGDlfSfRP8BbyO3xYmrTDWa8JvylcteJ1IeSvSKkWg9DrioUPg+HS8T72/hZ0LEL1OSoelEBDO2Uyv2n9uWX7QUcKqlmy+HyoFSr5lJQLtpfm4Tormr0yw69ynb7p+u4/dN1/HjLsU0+lser+m6ksZpQZyTaSLSaKHe4Qz5e4/ISZzGyK7+Cj1bs5+WfRfrA7jlTKdau8eQ4M+1T4nxlXluDwH5heOdUft9bzLz1uUzpn+UTkEBEt10zvludwbzPhDLGq2AdUuNZeNt4VFWl7/99S7XLw3ebDrdARIptpCbA/03ry2VviYi/1ftKWHeghD6ZCXhU2HCwjO+3ikjGmyb2bDAlYEeeSFuO1eBRFwbKa0K3+UZJSIeeJ7MrbhT/9/Ni2iXbom7GHmcx0jEtnr2FVWzPq/CLSLWx2jXvpobbz74ikf7YMS0+Jkby+kSo0ukJEqKbjMkSJDLt+P5bwB31Cergjim+v/+7LpeZo2tFkCgKVda24p4/4grx4/WIqKqDq0T0Uf5WKN6Nw5LKvoOHmK+M45a42PTvPTITefHCoVyjRfm+edkI1uwr4ZkftjN3XS7DO6fSNtHG6K5pTUr/fXTBblzadKNPu+hHmNSOrDxYUo3Xq2oCUjAHiqv5cWs+J/UVhtDupI48tuinoH3OGNI+dHRzhEmymTmpbyYLNvkXZjYeKm2yiHSwpNr3d7SLDQSiR+IeLKmmpMoZloC19Ygwkm+NFHcAs0nzRAoQkf6z8gC3fbKWM4e25++n9693nFWiRSIlxsAvTufMoR3okZFISrw56DvXr7PASOvSahfnvLyUR2cMZOqAdiGNrPXPP5bR1RlJNt65fCQfrdjP/I2HKaly0Tc7iVFd0hjXPZ10u5V7v1jPu8v2ccOHq7l8XBfsViO/bC8ARGR2rKKpJcFIEUkSklyt44mqiGQ0CdEkfyuGvE08b36WWWv/yp6TepKTHhCp4XZiXHAPPQH39m+h32kNH1cLX3ea7L6bak6IyI9IkqJFNOjhrD4UBdr2FD8N4awCg0kMenOOAWDRQ98DDjqmRneSVPuGWFrt8g8MLQlBlRCCcJSLleviPWK198gmYYJbsJWq5O6sze1GfAwGMpeN68Jl47rw8Yr93P7pOr5Yc4ibT+pJ52Z+55UOt6/0fLSNktPtVkbmpAX52gRy5+cbuCCraccqrHDg8aoYFEiPoQ/C8JxUftyaH/Kx0moXpdUupjzziy/KDaDLXfN8f0czQq2pzD6uG+U1bs4Z3oFeWYmMfOgH1h8s5ayXltTZ9+Pf93P31GCjeH3VLtrpMfWhKAo//XU8Ix/+gW1HKnwm501FT32IVspsKE7oncGeR07hhg9W89XaQ7z88y6eOqs/n+42sHiZP1pzeOc0TuhdN0LN7fHS/R5/1baBIVbvo4EvEqmlIpLGwWJxT4qVeDqwQwp7C6tYvquQcd3TG39CA+zTIpE6pcXm3K0mI/EWUS2puMrZfBEpgAqH2yd6Z0XZxH9Ip1SfyL5TEzsbxWAMKeSt3FHABa8tp2vbhJhVgAQ4qW8m54/sRGaSlRN6ZXBCrwziLEYe+WYLD/xXpMeM6dqGD64a3eBxPF6VNZon1z+m92dkl+hX3aotPvdtl8TMN5YHbUu3Wzh1UDZvLt7Dh7/tY2KfDNxelRW7i9hXVIXFaKBr2wS2HSnnjCZ4yUSKh88YQK/MRFbuLWbprkLu/HQ97y3bx92n9AkSJ0OhR53EUkAC0Zfp1XK/2XCY80d2avGxth4WIkbP1hKRtLYT6IH1+WpRwfezVQf5bNVBTujVllsn9WJnfgVWk4HJ/UVxhz2aJ9SVMYhaC2RAiHtgv+wkJvTOYKFmV3HLST1ZvruQxTsKuf6D1dz/1UY6t4lHVcHt9eL2iIhxfc7UIzO6vnG1URSF80Z24rx62s5fT+7Nsl1F7Mir4NH5W4IeO7lfEwfLkogTe+cvyZ+CpxYI74ZEkzYBjIaIpNNdmGkfY9zInaYPGP/PRcGPVxX4/lRqG5WGQktnu+SDrb6S0tGeXKdo3hb7i6t4/NstrNxb3MgzamGJFwKSxr1frPdFOfSKwc30sRl+E8Mmr7RbEyGzL/SeCsfcDDNehWuXwL35/HD8Zziw0D7KAlgggdEgxz++iPUHShvYuy4788VgP91ujUko+L+vGMnbl48M+djKvSW+ttsYizQhJyPR1mCodaR5/Oz6qxs9/+N2luwsCBKQajNlQGyqajVEpzbxPHf+EI7t0ZaMRJtPkCio8EdEDtd8ZXblB08GD5VU+9KyOqbGtjpbIBlJNt9K9e/1iJK1+WlbPgPu/9bXT8Xa0wngglFisPj1ulxmvLycxUeC2+6uQB8cjbIaF2Mf8d8DRndNIz5GPmC638Rnqw+Sc+fXeL3N98wAOFAshJhY9Y3jtND/pbsKwz7WviIxwWiuQB8OeopGSRgRpoDPOyPRZopJ+e27NMF525Fyvlmfy6p9xb700eawX2svse5jTEYDc84cwE0T/QtgVx3blWkD/f320l2FdfrF2uwvqsLh9mI1GcISF5pDbaltU24Zi3f42///TevLe1eM5sJRIkLshy15HP/4Io55dCGv/So8v6YPyeabG49l7f2TGvWRiSRtE63cdnIvTh8sKlVVuzz8tqeIh+dtbvS5evRMtBcea6MoCkM6pQBw12fr2ZFX3qLjbD1cTl65Q9hXttIiU+10Nq9XZdOhsqB9ftyaz7TnfuXGD9cw+91VfLnmIDUuD1+uOQREf9G6KSiKwqS+mb7/zxvRkTcuHcF1J3QnyWaiqNLJ6n0lrNlfwoaDZWw5XM7BkmqMBoVrx3eje0brL/IFkhxn5vNrx3L31N6cMrAdUwdkMXVAFheO6sR1E7o3fgBJVJCRSJKQbNFWA1S3A4wECRwRp/tEWPIcAJeZvmWXoTNwiv/xSr+IZNg6F9yPCgPN+tDS2cpV/4002it4urfK4h1C6f/gt/3837S+JMebm+33Uu308O4yEXZ9fM+2MZkknTOiI//8bit55Q4q6klRajIGAxVaelVWUuwGM7VX9k99/ld2z5na5O9eb/PdM2IzALCajIzI8ZexfXB6f+xWI3/9ZB1ur8pv+UrgVRCS3QWV3P7pOiD60VO1SbdbWX3fSQx5cEGdx95dtq9BEezB0/u1ahpbfVw8JofbPhH+AjazgQU3H8+B4mrOf3UZ32/O441fdzN33SGsJqNvUj66a1pYERKRYEjHFHbkVTD73VV8eNVoRnVJq7fde70qV77ze5D5Z7tW+C5Gd23DzRN78tT321h/sKzO46H88W77eG2QeesDp/WL6jkGUrvE99IWRvYc0CKROsRKRNLOceXe4iA/iZagV1+Kdnp4ICnxZg6WVLMjr4KlOws5dVA7OrRAUDmkrbBHOwpJR++Pl+wsZMlOv4CRZDPRp10iE5sYQLcrvzLoeK2JwaDw5DmD6Zed7IsGOP35xcyZMYAJvTPYV1TFoZJqxnVP96XIbtPSY7q1tYdMn4kGJmP9rzOscyqXBxRvGdghmXUHSn3WB0fKROTGMT3aoihKkFlxLNFN8XV+211EfrmDtolWalwe/j53E53S4rn6uK6+vl5PpzqlFRZoxnRrw8e/i4idiU/+zGMzBjKpX2azFuTeX74XgEl9M2OWml8b3c9o5d5iUuLMJMebRUVOYHyvtpiNhqB0Q4AbP1wT9PzGIsZixeT+WXyz4TAjclJ9qcy3ndyL6yZ0Z8PBUvLKHZiNBkxGBbNB/O6eYY9ZFcjmkmgzc9Vx3Vr7NCQBSBFJUofKABHhjkld4SeiG4mUcxwMn+Uryfug4RXYN8NvTBoYiVSZL8rkDr889LG8XuEzBJQgVucfOqN/9M5dQ09R0CmqdHLTR2sA2PqPyazeV8K89blMH9KeoZ1SQxzBz9fr/SbW/7pwaMTPtT6S4szklTta7vkRQHlN7HPDQ63UPvvDDm6c2KPR5+aWVnP7f4QYE8tSofEWE/+eNZKiSienaxXKth+p4F+LdvLJbgPn5pZhtZgpq3bXSQPwelVmvu4P0R/dteWTw5aSmmDh0RkDuOPT9Rzfsy0/bfOnt/26Q1y3903ry4yh7Zn89C/0yLTz9mUjQ1Y6+yNw1rAOHNcjHa8qViI7pgXn2utVTgK57oTG21e0CYxWPO+VZYzISeWT2aFrIL2xeLdPQLKYDFw2NqfVBL2rj+/KG4t3+3zM/jqpB6kJNu7+fD37i6o4XFrD3+duZHTXNnRuk8B32uB9UIdkPp49JqZeTnG1PBcenLuJdy4fycbcMo7tnk5euYNPVx4gJd5MYaUTBYVuGQlM6R/sPaFHIrVECGkJHdPiObF3Bj9syWPm68t54pxBvr5GZ9uRcmwmI51CCBU1Lg9Gg4LT7fVV8qzP0y0a6JFId322DpdH5fVfd/Hx1WPo2pQCChr7i6p8ESZN9ZcJl071CG1lNW6W7y5mOSaOO66SXtkpDR5n/UERURvLz7whLCYD14zvxrjubTj35WWUO9xc9/7quvtpk2k9ZbtvDM/faKg/Ivfxs4JLx08f3J51taKWLUYDo7tGP+2uIUK10xEPfc+uh6fyys+7eF/zdxrWOZUNB0vxeFW+23QYgOQYmmrrnD6oPTd/tNb3/+2fruPeLwy8fulwRuekNPr8FXuKeHupEJEuGNVwFbpooq+9vP7rbl7X+gwQi0VvXSYixw+X1vCPrzfh9qhsyyv3Cb0Ad0zp3Wqm4LVJibeEjHa3mY1Nq4oqkTSCFJEkdViqrZq1T4ljVEctnMAYRWXaYIBpT1JzeAu2A4sBcP3yNOYLPxSP19RKS1rwAOQcC+khJm9VBeBx4EXhiJrG30/v5wtZjiZT+mfVydPV+XjFfu77UpRNfmfpXr6/5bh6Q0UrHG7+70tRVveWk3rGJOxeJ8FXfcjNkh0FvPjTTu4/tV+LBt26EBVLESnOYuTeU/rwj6/9Yd+r9zctrfCRb/zf3fgYVwo7tkdwqPytk3qxdn8Ji3cWcvq//B4xXdsmsPDW8RRXOvlq7SH+PncTnoCUmqmtlB521rCOdEm3M6B9Mm8s3s3j34rS1Xs1/5RTB7YjJd7Ckjsn/GHFo0Bqmw+n2y0MaJ/sm8wFct6IjhzTIzyfmUgwqW9WULtfsaeYnDu/BuCT2WMYoQ0Y88sdvn5qUt9MXrl4eOxPNgCb2cin14zl1Z93kFW9l6uO7cLyPeJz/mFLHoseXYjHqzJv/WHfc9omWvns2nExi2rQqXL6xfU2CRa2HC5n5MM/AKKNBKZABnLhqEIeOsNfPUy/LmIViQTw9HmDufOz9Xy9LpenFmzjtEHZPPX9dgoqHFTUuPlqrUjDeOLsQZw5tD2r9hWz/kApv+0pYtHWfKqc/jSsjmlxDInhSrse5aeX3C6ocDLhiZ+YdUwXth0pp192MndM7lVv5N3BkmpOff5XX5TGiX0yQ+4XaQIN3y0mA7ef3IuUeAt2q4nZ764EYPqLS/nljgn1rvyrqsoGrd9pqKJSazCwQwovXjSUS99cEfJxp8cb5Pk3IYS/WbSoz77gmfMG1xEfLxjViY2HykiNNzO+VwZvLdnD9CHZMa+4WRtFUXjmvMF8t/FI0MLimgMlQeLG2S/VreTXJT32UWsGg8Kbl43gsoD24PR4eXT+Fj6fPbpOZHJgBdcal4f/08bI/bKTOK4V76mBglAgZw7xG6tnJdt4/gKxwFvpcDN33SFe+2U3fzmhO9Nj6J8lkbQ2UkQ6itmcW0ZeuYNRXdJ8q+3bj5RzxTu/A5pZmUerZmGMfnSG9dw3WPb4dEYbNmPe/g1Hln1I8rCzsWkiUm7iQDITzRgOrYRXT4RRV4loJXuWSG9TDHBIrIgdUVNxYeL4GOWyNxRq/uDc4Fz2059fzPoHTq4zoV65t4izXlqKqoLRoHDFsV2IJUma4FNW7eLheZvZXVDJxCd/Yts/pjTbqLE1RCSAK47tyhXHdmXhliNc/tbvLNqaz+HSmkZXhgLLoJ49LPpVWBrCaFB44qz+jH40uELMrvxKpr+w2GdSqnPrST254tiuxEW5XHh9GA2KL0rqLyd0p8Lh5sVF/vLQuijzZxCQQqEoCl9dN44deRV8vzmP80d2JDnOzKHSmj9MSl6nNvGs/b9J7Cuq4uyXl/iqrgFc//5qrpvQnWd+2O7zWQOChI3WpHuGnX+c3o9588QqdI9Mkfbi8apBIimAQYEv/xJ7AQlgVBcR6dc+JY7nLhjCJa//5jNqDiUgxZmNVLs8vLd8H0WVThJtJkZ2aePzeopFlSqdRJuZR2cM5LuNh9lTWMXcdbk8W6uUMsCtn6zl1k/WhjiCwGY28NeTe8fU4Dm1nlRRfSL9y/YC2iRYGNklDY+q0i3d7hOe3B4vN36wmpIqF53S4rnxxB6cOTQ2kzyjQfGZDV9xTBeuONZvtnvv1F78Y95Wql1eLntzBa9ePDzkPWp/UTVlNW4sRgM9/mAeJSAWXHbPmcq7y/dxoLiKmyf2xKAoLN5RwL1fbPCZ9D50Rn+m9I+d+e0dk3uzdv8y7prah+mD23PLx2twe1UmhzgHm9nIE+f4/f3+CIsCOqcPbs/pg9sz8KedzNEWup5asK3RCrTNtVCIFCf0ymDFPRPxeFW8qsrxj//IhoNlnPrCUnILjYw8zkF2mpm3l+zh/q820jsrEaNBYWOA59DfTusX0/6lNoEV7kAsWtw8sSdn1TMuTLCaOHdEJ84dERu/L4nkj4QUkY4yDpZUc9aLS3zV13TuP7Uvbo/KQwHmfReP6QyHtf/N0V/ZUBKzOM95H3eaPmC26b+kfnMt786fx4yubpKBZSVJDDzjWbr9cBUc/B1+frzeY232diLeYqw3pDzi597ATU83O7z1pJ48sWAblU4PM99YzntX+KuafLryQNDgfebozjEzjNXRV0MLKhyUBQxSet/3Dfpcbt4NxzYpLH1TrhgU2K2t4ycQGKo7eo6IFpjcLwujUaFLmwQuHtvZt9K4r7DKNxn86KrRMTWnro82dis9krxsLzMwqksaR8pq2FNYVUdAeumiYSEHxq3JzRN78tJPO1FVYmakGm0URaFHZiI9Asw+/ygCkk5yvJkB8cn8cvsExj/+I5Va9Mjhshru/WJD0L7vXzmKtq1gpt0UMpNsPDZjIPd+sYFhnVN5+IwBvLd8L5+uOsA9p/QJivCIJVnJNpbddSJJcSbiLSbeunwkc9cdonNaPIu25XOwuJp/TO9PZpKN9qlxmI0GLnptOb/uKOCbDSKSSvcMaZdsi7nvhN1qYkROGkt2iuo8gZwxpD3pdgtvL9kbVNo6Jd7MxWNyyCurYXteBY+fNbBZaWSRoHvA650/shMD2idz9+frSbdbfcb2D9UyHe6YFkdqvIWDxdUUVjpJtJp4d9aokOl60eSpcwfz7cbDdao1XTKmM8V7NvHCJiPrD5Yyes4PnD44myfOHhR0/1m2W0SF98lOinnFraaiKAozRwdHe5/QO4PFd06gtNpFvMVYp1patOnfPpl1D5zs+//Fi4bF9PUjzRXHduVImYM3Fu/2lTVPjjP7xKRje6Tz0PQB3PjRas4a1qFVRZjA+8oJvTL4btMRzW9S4boP17KvyF+QQveh1Ll9cq9WT7PSffp0vrvpOFITYp8eKJH8GZAi0lHEkbIaxj0SurrZ3/4b7PVx4ahO5KQnwO4SsSEuJbonF8A/3WeTpRQy3biEy/kSdonthWoiJ76yhVP6z8Ho/JKTjb/RTcklXSnFhAcjXsy4KcHOW56Tuez4nJjeTH+/dyI78yowGRVmvBgcYmw1Gbji2K5UuTy8uGgni3cUknPn1wzqmELfdkl88Ns+3773ntKHmWNinxOuV2g6UubAGjBgDQwGmPrsL1wypjN3Te2DzWykvMZFos2M16vi9HixmY043B5+2y3C2ANTQGJJks2M1WQIqg42f6M/Jeb5H3fw9uUj6ZOVyJRnfgZgaKeUmJQfbirnd/NS3bYXlx3TlfUHSjn3FZHads/UPlx5XNegcPA/EhaTgZ0PTeWXHQW+ii2S2NE20cq3Nx+H1WTk73M38V8tVQng2vHdmNK/XciSwH8kZgzrwIyAld+7pvbxVbtqTQKjRYZ1TvWZ3146LnTU6JwzBzD9hcUUVopIJYvRgNPjZUr/1kk9nTqgXZDJ81nDOtCnXRKXjOmMyWjgymO78sOWPHplJTKkY8ofon85uX8Wj87fSnKcmb+e3Iu0BIuvst+B4ir+8t4qdhdUUhbg5be/qJr9WiU5o0Hh8bMHxVxAAiFm1JeG1jNZ5ZrjuvDizyKi6ss1h/hyzSG6Z9g5vmdbkmxm3v9NROfFKqI60sTSX/B/GaNB4bJxObyx2J/G9tS5g3jgq030y07iXxcORVEUPr92XCueZV3OGNLe52MHsGpfSb37TuyTwTXHt75p8o0Te7CroIIv1xzCZFCkgCSRNIAUkY4S9hdVcexjPwZtu/r4rng8Kh/8to9BHVNIS7DQra2d80d28g+WdT8iW2wmHTdM6M6zC3dwk+svfOMZxdnGRQwy7MSAysee8QB8vSEfGMtX3tDGsQAJFiPPxdjFP91u9a0uz73+GP69dC8f/b4fEKaScRYjt03qFZTqs3Z/CWu16JIxXdvw3hWjWi3tR087ChyoXDu+G/8KOF+At5fu5e2le+mVmcjWI8ErSXoKh05rRsncOaV3HXE0kEve+C34/7GxFR0bo40Nph7bBbNZRBBcOjYHt9fLpeNygOhXHAwHg0H50058/hfQTZufOmcQ543oiNPtZUSXtFareHO00jEtnpX3nURRpZOUODOKIkT6jFaKAjt3REe+23SEn7flM/v4btw5pXfQ4xlJtj9c9GC75Dh+vG088VYjSbUqZXVIjefL644BRARtmwThTbVqXzEmg4LNbKRLekKrRa81xg0TumGPs/h85AB25FWwI6/C97/VZGj1FGtJ6xNYETErycaE3plM6J35h11MAuE/dtqgbH7dkU9RpT+6/ZPZYxjQPpl563MZ3bXNH+76fHB6f1LizEyIkX+aRPJnRY4ojxKyU+I4tkc6v+0u4u3LRzKkU4qvss290/rW/8SaEvE7RiLSzSf15NVfdlPt8vCtdwTfekf4HsuKUyEgXXlA+2Rev2Q4r/+6mykD2lHj8nDeK8tol2zjnlP6tOoqWP/2yTwyY4BPROrSRpSNNxoUNv39ZK7+90pfWDLAyC5pvDOrdatW1Z7YmAwKt07qxYxhHchKspFX7uCEfy7yPV5bQAKCBKRTBrSjX3brRTxcNq4L54/sRHmNm0qHmyU7C8krr+GY7uk89u1WX7QUwPTB2UwbmN1q59oYBoMS03Lmkv8NTEZDi8rQSyJLWsBqdmtW7jEbDbx16QjyKxxkxqjUfSRoymemL+C0TbQKP8c/ASajgb+c0J3Zx3fj89UHcbq9LN5ZQH6ZKOXePjWOM4a0DxIQJEcvT5w9iBcW7eC584f4tv1RBSQQUcnPnj8El8vFo+9+w4rKNG6a2NNX6OHMoX9McTTJZuZvp0e/qrNE8mdHikhHCUaDwpuXjqDK5amzmtcgvkiklKicV20UReGnv47nqe+30zEtjvE9M+ibnYTL5eKN/8zjyY0WnB4vF4/uzMVjc8hIsgWlOex55JSYnGdTUBSF964YxfMLd3D5Mf50B1HWfRQgjD//CB48QJ1JxaVjczAaFLppnhRdrCa+/Ms4Tn9hMUM6pXDhqM6YjQo3frjG95zzR3YiyWbCq6pcf2Lrlz63mY3YzEbaJlpFeqbGx1eP4Yq3f2fdgRKeO38Io7q2acWzlEgkkthgMCh/KgHpaMBoUHzGvXqqnkRSm9ppvn8mBqSp3HHRKMxmmeIokfyvIEWkowiT0UBScwWLGKezgQipn3Nm3cpBWfEw/4ZxpCXG/Wly7cd1T28wEuCPIiABQYbZ7VPiuG5C9zr7DOqYUkeo25xbzis/7+Sza8cxOIaln8Pl1YuH/aFX8SQSiUQikUgkEonkj4YUkSQNU10ifsfQWLshOqTGyZWMKGG3mnhl5jAOl9Uwc3TnJgsst5/cixtP7NFqJeZbihSQJBKJRCKRSCQSiaR5SBFJ0jCtEIkkaT0mtcBLwmBQ/nQCkkQikUgkEolEIpFIms8fJ5dG8sek7KD4nZDRuuchkUgkEolEIpFIJBKJpFU5qkSkf/3rX3Tp0gWbzcawYcP45ZdfWvuU/thUl0DFEfF3euubJEskEolEIpFIJBKJRCJpPY4aEemjjz7ipptu4p577mH16tUce+yxTJkyhX379rX2qf1xObRK/E5sB7akhveVSCQSiUQikUgkEolE8j/NUeOJ9OSTTzJr1iyuuOIKAJ5++mm+/fZbXnzxRebMmdPKZxcjtswDrwu8HlC94sf3tyf4//2/wfqPxfOyBrbueUskEolEIpFIJBKJRCJpdY4KEcnpdLJy5UruvPPOoO2TJk1iyZIlIZ/jcDhwOBy+/8vKygBwuVy4XK7onWwUMX16BYqrstnPcw88H7WV37P+mf9ZP3uJpDnI9i45mpDtXXI0Idu75GhCtnfJ0cT/Qntv6rkfFSJSQUEBHo+HzMzMoO2ZmZkcPnw45HPmzJnD3/72tzrbv/vuO+Lj46NyntFmjK0LBosLFAUVA6rvtwFQUBUDqvYbFI4kDeZg6ki8uwywa15rnz4ACxYsaO1TkEhihmzvkqMJ2d4lRxOyvUuOJmR7lxxN/Jnbe1VVVZP2OypEJB1FUYL+V1W1zjadu+66i1tuucX3f1lZGR07dmTSpEkkJf1Z/YGmNmvvDGBAdE6k2bhcLhYsWMBJJ52E2Wxu7dORSKKKbO+SownZ3iVHE7K9S44mZHuXHE38L7R3PfuqMY4KESk9PR2j0Vgn6igvL69OdJKO1WrFarXW2W42m/+0jeJ/Afn5S44mZHuXHE3I9i45mpDtXXI0Idu75Gjiz9zem3reR0V1NovFwrBhw+qEli1YsICxY8e20llJJBKJRCKRSCQSiUQikfx5OCoikQBuueUWZs6cyfDhwxkzZgyvvPIK+/btY/bs2a19ahKJRCKRSCQSiUQikUgkf3iOGhHp3HPPpbCwkL///e/k5ubSv39/5s2bR+fOnVv71CQSiUQikUgkEolEIpFI/vAcNSISwLXXXsu1117b2qchkUgkEolEIpFIJBKJRPKn46jwRJJIJBKJRCKRSCQSiUQikYSHFJEkEolEIpFIJBKJRCKRSCSNIkUkiUQikUgkEolEIpFIJBJJo0gRSSKRSCQSiUQikUgkEolE0ihSRJJIJBKJRCKRSCQSiUQikTSKFJEkEolEIpFIJBKJRCKRSCSNIkUkiUQikUgkEolEIpFIJBJJo0gRSSKRSCQSiUQikUgkEolE0ihSRJJIJBKJRCKRSCQSiUQikTSKFJEkEolEIpFIJBKJRCKRSCSNIkUkiUQikUgkEolEIpFIJBJJo0gRSSKRSCQSiUQikUgkEolE0ihSRJJIJBKJRCKRSCQSiUQikTSKqbVP4M+CqqoAlJWVtfKZHJ24XC6qqqooKyvDbDa39ulIJFFFtnfJ0YRs75KjCdneJUcTsr1Ljib+F9q7rnXo2kd9SBGpiZSXlwPQsWPHVj4TiUQikUgkEolEIpFIJJLIU15eTnJycr2PK2pjMpMEAK/Xy6FDh0hMTERRlNY+naOOsrIyOnbsyP79+0lKSmrt05FIoops75KjCdneJUcTsr1LjiZke5ccTfwvtHdVVSkvLyc7OxuDoX7nIxmJ1EQMBgMdOnRo7dM46klKSvrTXpQSSXOR7V1yNCHbu+RoQrZ3ydGEbO+So4k/e3tvKAJJRxprSyQSiUQikUgkEolEIpFIGkWKSBKJRCKRSCQSiUQikUgkkkaRIpLkT4HVauX+++/HarW29qlIJFFHtnfJ0YRs75KjCdneJUcTsr1LjiaOpvYujbUlEolEIpFIJBKJRCKRSCSNIiORJBKJRCKRSCQSiUQikUgkjSJFJIlEIpFIJBKJRCKRSCQSSaNIEUkikUgkEolEIpFIJBKJRNIoUkSSSCQSiUQikUgkEolEIpE0ihSRJDFhzpw5jBgxgsTERDIyMpg+fTpbt24N2kdVVR544AGys7OJi4tj/PjxbNy4MWgfh8PB9ddfT3p6OgkJCZx22mkcOHAgaJ/i4mJmzpxJcnIyycnJzJw5k5KSkmi/RYnERyzbe+C+gwcPRlEU1qxZE623JpHUIZbtfdu2bZx++umkp6eTlJTEuHHj+PHHH6P+HiUSnUi191deeYXx48eTlJSEoih1xil79uxh1qxZdOnShbi4OLp168b999+P0+mM9luUSHzEqr3rfP3114waNYq4uDjS09M588wzo/XWJJI6RKK9FxUVcf3119OrVy/i4+Pp1KkTN9xwA6WlpUHH+bPPV6WIJIkJP/30E3/5y19YtmwZCxYswO12M2nSJCorK337PPbYYzz55JM8//zzrFixgqysLE466STKy8t9+9x00018/vnnfPjhh/z6669UVFQwbdo0PB6Pb58LLriANWvWMH/+fObPn8+aNWuYOXNmTN+v5Ogmlu1d5/bbbyc7Ozsm708iCSSW7f2UU07B7XazcOFCVq5cyeDBg5k2bRqHDx+O6XuWHL1Eqr1XVVUxefJk7r777pCvs2XLFrxeLy+//DIbN27kqaee4qWXXqp3f4kkGsSqvQN8+umnzJw5k8suu4y1a9eyePFiLrjggqi+P4kkkEi090OHDnHo0CH++c9/sn79et566y3mz5/PrFmzgl7rTz9fVSWSViAvL08F1J9++klVVVX1er1qVlaW+sgjj/j2qampUZOTk9WXXnpJVVVVLSkpUc1ms/rhhx/69jl48KBqMBjU+fPnq6qqqps2bVIBddmyZb59li5dqgLqli1bYvHWJJI6RKu968ybN0/t3bu3unHjRhVQV69eHf03JZHUQ7Tae35+vgqoP//8s2+fsrIyFVC///77WLw1iaQOLWnvgfz4448qoBYXFzf6Wo899pjapUuXiJ27RNJcotXeXS6X2r59e/W1116L6vlLJM0h3Pau8/HHH6sWi0V1uVyqqv5vzFdlJJKkVdBD+tLS0gDYvXs3hw8fZtKkSb59rFYrxx9/PEuWLAFg5cqVuFyuoH2ys7Pp37+/b5+lS5eSnJzMqFGjfPuMHj2a5ORk3z4SSayJVnsHOHLkCFdeeSX//ve/iY+Pj8XbkUgaJFrtvU2bNvTp04d33nmHyspK3G43L7/8MpmZmQwbNixWb08iCaIl7T2c19JfRyJpDaLV3letWsXBgwcxGAwMGTKEdu3aMWXKlDppcRJJLIlUey8tLSUpKQmTyQT8b8xXpYgkiTmqqnLLLbdwzDHH0L9/fwBfKkJmZmbQvpmZmb7HDh8+jMViITU1tcF9MjIy6rxmRkaGTHeQtArRbO+qqnLppZcye/Zshg8fHu23IpE0SjTbu6IoLFiwgNWrV5OYmIjNZuOpp55i/vz5pKSkRPmdSSR1aWl7bwk7d+7kueeeY/bs2S0/YYkkDKLZ3nft2gXAAw88wL333svcuXNJTU3l+OOPp6ioKELvQCJpOpFq74WFhTz44INcffXVvm3/C/NVU2ufgOTo47rrrmPdunX8+uuvdR5TFCXof1VV62yrTe19Qu3flONIJNEgmu39ueeeo6ysjLvuuityJyyRhEE027uqqlx77bVkZGTwyy+/EBcXx2uvvca0adNYsWIF7dq1i9wbkUiaQKTbe30cOnSIyZMnc/bZZ3PFFVe06BgSSbhEs717vV4A7rnnHmbMmAHAm2++SYcOHfjkk0+CJuASSSyIRHsvKyvjlFNOoW/fvtx///0NHqOh4/wRkZFIkphy/fXX89VXX/Hjjz/SoUMH3/asrCyAOuprXl6eT+3NysrC6XRSXFzc4D5Hjhyp87r5+fl1VGOJJNpEu70vXLiQZcuWYbVaMZlMdO/eHYDhw4dzySWXRO19SSShiEV7nzt3Lh9++CHjxo1j6NCh/Otf/yIuLo633347mm9NIqlDOO29ORw6dIgTTjiBMWPG8Morr4R30hJJC4l2e9cXAfr27evbZrVa6dq1K/v27Qvn1CWSZhOJ9l5eXs7kyZOx2+18/vnnmM3moOP82eerUkSSxARVVbnuuuv47LPPWLhwIV26dAl6vEuXLmRlZbFgwQLfNqfTyU8//cTYsWMBGDZsGGazOWif3NxcNmzY4NtnzJgxlJaW8ttvv/n2Wb58OaWlpb59JJJoE6v2/uyzz7J27VrWrFnDmjVrmDdvHgAfffQRDz30ULTfpkQCxK69V1VVAWAwBA9dDAaDbxVbIok2kWjvTeXgwYOMHz+eoUOH8uabb9Zp+xJJtIlVex82bBhWqzWonLrL5WLPnj107tw5/DcikTSBSLX3srIyJk2ahMVi4auvvsJmswUd539ivhozC2/JUc0111yjJicnq4sWLVJzc3N9P1VVVb59HnnkETU5OVn97LPP1PXr16vnn3++2q5dO7WsrMy3z+zZs9UOHTqo33//vbpq1Sp1woQJ6qBBg1S32+3bZ/LkyerAgQPVpUuXqkuXLlUHDBigTps2LabvV3J0E8v2Hsju3btldTZJzIlVe8/Pz1fbtGmjnnnmmeqaNWvUrVu3qrfddptqNpvVNWvWxPx9S45OItXec3Nz1dWrV6uvvvqqr+rg6tWr1cLCQlVVRXXC7t27qxMmTFAPHDgQ9FoSSayIVXtXVVW98cYb1fbt26vffvutumXLFnXWrFlqRkaGWlRUFNP3LDl6iUR7LysrU0eNGqUOGDBA3bFjR9Bx/pfmq1JEksQEIOTPm2++6dvH6/Wq999/v5qVlaVarVb1uOOOU9evXx90nOrqavW6665T09LS1Li4OHXatGnqvn37gvYpLCxUL7zwQjUxMVFNTExUL7zwwiaVzpVIIkUs23sgUkSStAaxbO8rVqxQJ02apKalpamJiYnq6NGj1Xnz5sXibUokqqpGrr3ff//9DR7nzTffrPe1JJJYEav2rqqq6nQ61VtvvVXNyMhQExMT1YkTJ6obNmyI0TuVSCLT3n/88cd6j7N7927ffn/2+aqiqqoaiYgmiUQikUgkEolEIpFIJBLJ/y4yuVoikUgkEolEIpFIJBKJRNIoUkSSSCQSiUQikUgkEolEIpE0ihSRJBKJRCKRSCQSiUQikUgkjSJFJIlEIpFIJBKJRCKRSCQSSaNIEUkikUgkEolEIpFIJBKJRNIoUkSSSCQSiUQikUgkEolEIpE0ihSRJBKJRCKRSCQSiUQikUgkjSJFJIlEIpFIJBKJRCKRSCQSSaNIEUkikUgkEolEIpFIJBKJRNIoUkSSSCQSiUQiiRKXXnopiqKgKApms5nMzExOOukk3njjDbxeb5OP89Zbb5GSkhK9E5VIJBKJRCJpAlJEkkgkEolEIokikydPJjc3lz179vDNN99wwgkncOONNzJt2jTcbndrn55EIpFIJBJJk5EikkQikUgkEkkUsVqtZGVl0b59e4YOHcrdd9/Nl19+yTfffMNbb70FwJNPPsmAAQNISEigY8eOXHvttVRUVACwaNEiLrvsMkpLS31RTQ888AAATqeT22+/nfbt25OQkMCoUaNYtGhR67xRiUQikUgk//NIEUkikUgkEokkxkyYMIFBgwbx2WefAWAwGHj22WfZsGEDb7/9NgsXLuT2228HYOzYsTz99NMkJSWRm5tLbm4ut912GwCXXXYZixcv5sMPP2TdunWcffbZTJ48me3bt7fae5NIJBKJRPK/i6KqqtraJyGRSCQSiUTyv8ill15KSUkJX3zxRZ3HzjvvPNatW8emTZvqPPbJJ59wzTXXUFBQAAhPpJtuuomSkhLfPjt37qRHjx4cOHCA7Oxs3/aJEycycuRIHn744Yi/H4lEIpFIJEc3ptY+AYlEIpFIJJKjEVVVURQFgB9//JGHH36YTZs2UVZWhtvtpqamhsrKShISEkI+f9WqVaiqSs+ePYO2OxwO2rRpE/Xzl0gkEolEcvQhRSSJRCKRSCSSVmDz5s106dKFvXv3MnXqVGbPns2DDz5IWloav/76K7NmzcLlctX7fK/Xi9FoZOXKlRiNxqDH7HZ7tE9fIpFIJBLJUYgUkSQSiUQikUhizMKFC1m/fj0333wzv//+O263myeeeAKDQdhVfvzxx0H7WywWPB5P0LYhQ4bg8XjIy8vj2GOPjdm5SyQSiUQiOXqRIpJEIpFIJBJJFHE4HBw+fBiPx8ORI0eYP38+c+bMYdq0aVx88cWsX78et9vNc889x6mnnsrixYt56aWXgo6Rk5NDRUUFP/zwA4MGDSI+Pp6ePXty4YUXcvHFF/PEE08wZMgQCgoKWLhwIQMGDGDq1Kmt9I4lEolEIpH8ryKrs0kkEolEIpFEkfnz59OuXTtycnKYPHkyP/74I88++yxffvklRqORwYMH8+STT/Loo4/Sv39/3nvvPebMmRN0jLFjxzJ79mzOPfdc2rZty2OPPQbAm2++ycUXX8ytt95Kr169OO2001i+fDkdO3ZsjbcqkUgkEonkfxxZnU0ikUgkEolEIpFIJBKJRNIoMhJJIpFIJBKJRCKRSCQSiUTSKFJEkkgkEolEIpFIJBKJRCKRNIoUkSQSiUQikUgkEolEIpFIJI0iRSSJRCKRSCQSiUQikUgkEkmjSBFJIpFIJBKJRCKRSCQSiUTSKFJEkkgkEolEIpFIJBKJRCKRNIoUkSQSiUQikUgkEolEIpFIJI0iRSSJRCKRSCQSiUQikUgkEkmjSBFJIpFIJBKJRCKRSCQSiUTSKFJEkkgkEolEIpFIJBKJRCKRNIoUkSQSiUQikUgkEolEIpFIJI3y/3KBJ0dueKTrAAAAAElFTkSuQmCC",
+      "text/plain": [
+       "<Figure size 1400x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Overall Plot\n",
+    "\n",
+    "q_critical = 500\n",
+    "\n",
+    "simulated_calibrated_nse = run_hbv(\n",
+    "    parameters=best_parameters_nse,\n",
+    "    initial_storages=s_0,\n",
+    "    forcing=ERA5_forcing\n",
+    ")\n",
+    "\n",
+    "simulated_calibrated_log_nse = run_hbv(\n",
+    "    parameters=best_parameters_log_nse,\n",
+    "    initial_storages=s_0,\n",
+    "    forcing=ERA5_forcing\n",
+    ")\n",
+    "\n",
+    "# Align dates\n",
+    "simulated_plot_nse = simulated_calibrated_nse\n",
+    "simulated_plot_log_nse = simulated_calibrated_log_nse\n",
+    "observed_plot = observed_output\n",
+    "\n",
+    "simulated_plot_nse.index = pd.to_datetime(simulated_plot_nse.index).tz_localize(None).normalize()\n",
+    "simulated_plot_log_nse.index = pd.to_datetime(simulated_plot_log_nse.index).tz_localize(None).normalize()\n",
+    "observed_plot.index = pd.to_datetime(observed_plot.index).tz_localize(None).normalize()\n",
+    "\n",
+    "# Combine modelled and observed data\n",
+    "plot_data = pd.DataFrame({\n",
+    "    \"Modelled discharge NSE\": simulated_plot_nse,\n",
+    "    \"Modelled discharge log_NSE\": simulated_plot_log_nse,\n",
+    "    \"Observed discharge\": observed_plot\n",
+    "}).dropna()\n",
+    "\n",
+    "# Calculate NSE & log NSE for plotted data\n",
+    "plot_nse = NSE(\n",
+    "    plot_data[\"Modelled discharge NSE\"],\n",
+    "    plot_data[\"Observed discharge\"]\n",
+    ")\n",
+    "\n",
+    "plot_log_nse = log_NSE(\n",
+    "    plot_data[\"Modelled discharge log_NSE\"],\n",
+    "    plot_data[\"Observed discharge\"]\n",
+    ")\n",
+    "\n",
+    "# Plot\n",
+    "plt.figure(figsize=(14, 6))\n",
+    "plt.plot(plot_data.index, plot_data[\"Observed discharge\"], label=\"Observed discharge\")\n",
+    "# plt.plot(plot_data.index, plot_data[\"Modelled discharge NSE\"], label=\"Modelled discharge NSE\")\n",
+    "plt.plot(plot_data.index, plot_data[\"Modelled discharge log_NSE\"], label=\"Modelled discharge log_NSE\")\n",
+    "\n",
+    "plt.xlabel(\"Date\")\n",
+    "plt.ylabel(\"Discharge (m³/s)\")\n",
+    "plt.title(f\"Observed vs modelled discharge at 07DA001, NSE = {best_nse:.3f}, log NSE = {best_log_nse:.3f}\")\n",
+    "plt.axhline(y=q_critical, linestyle=\":\", label=f'Critical discharge ({q_critical} m³/s', color='black')\n",
+    "plt.legend()\n",
+    "plt.grid(True)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "e0743eb6-3efd-435c-866f-d0ea2bddfea8",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1400x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot for 1 year\n",
+    "\n",
+    "selected_year = 2015\n",
+    "\n",
+    "plot_data_year = plot_data[plot_data.index.year == selected_year]\n",
+    "\n",
+    "plt.figure(figsize=(14, 6))\n",
+    "\n",
+    "plt.plot(plot_data_year.index,plot_data_year[\"Observed discharge\"],label=\"Observed discharge\")\n",
+    "# plt.plot(plot_data_year.index,plot_data_year[\"Modelled discharge NSE\"],label=\"Modelled discharge NSE\")\n",
+    "plt.plot(plot_data_year.index,plot_data_year[\"Modelled discharge log_NSE\"],label=\"Modelled discharge log_NSE\", color=\"green\")\n",
+    "\n",
+    "plt.axhline(y=q_critical,linestyle=\":\",color=\"black\",label=f\"Critical discharge ({q_critical} m³/s)\")\n",
+    "\n",
+    "plt.xlabel(\"Date\")\n",
+    "plt.ylabel(\"Discharge (m³/s)\")\n",
+    "plt.title(f\"Observed vs modelled discharge at 07DA001 in {selected_year}\")\n",
+    "plt.legend()\n",
+    "plt.grid(True)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "dde634ea-53bd-4c41-ba13-8ec762014b89",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">RMSE for best NSE parameter set: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">52.403</span> m³/s\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "RMSE for best NSE parameter set: \u001b[1;36m52.403\u001b[0m m³/s\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">RMSE for best log_NSE parameter set: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">64.551</span> m³/s\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "RMSE for best log_NSE parameter set: \u001b[1;36m64.551\u001b[0m m³/s\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Calculate RMSE for best parameter sets NSE and log_NSE\n",
+    "\n",
+    "rmse_nse = RMSE(\n",
+    "    plot_data[\"Modelled discharge NSE\"],\n",
+    "    plot_data[\"Observed discharge\"]\n",
+    ")\n",
+    "\n",
+    "rmse_log_nse = RMSE(\n",
+    "    plot_data[\"Modelled discharge log_NSE\"],\n",
+    "    plot_data[\"Observed discharge\"]\n",
+    ")\n",
+    "\n",
+    "print(f\"RMSE for best NSE parameter set: {rmse_nse:.3f} m³/s\")\n",
+    "print(f\"RMSE for best log_NSE parameter set: {rmse_log_nse:.3f} m³/s\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "db083f00-6ca7-47a1-8792-c46df17f15ed",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step4_HBV_Validation_Ensemble.ipynb b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step4_HBV_Validation_Ensemble.ipynb
new file mode 100644
index 00000000..72c8021c
--- /dev/null
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step4_HBV_Validation_Ensemble.ipynb
@@ -0,0 +1,1107 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "9ca8fd44-6292-4af4-9100-d3256fccd960",
+   "metadata": {},
+   "source": [
+    "# Ensemble validation\n",
+    "\n",
+    "The 5 parameter sets calculkated in Calibration_HBV.ipynb will be used for a validation period, in which the log NSE will be calculated, a mean will be calculated and total low flow days during the navigation season.\n",
+    "\n",
+    "The structure of this notebook is as follows:\n",
+    "\n",
+    "### 1. Startup\n",
+    "### 2. Model Setup\n",
+    "### 3. Running model\n",
+    "### 4. LNSE calculation\n",
+    "### 5. Display results\n",
+    "### 6. Lowflow calculation"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "bdb4216e-a341-4c2b-a410-35170773a9a7",
+   "metadata": {},
+   "source": [
+    "## 1. Startup"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "d197b8f0-0f85-4a41-b2fb-1b2a8cf3f9f5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General python\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\", category=UserWarning)\n",
+    "\n",
+    "import numpy as np\n",
+    "from pathlib import Path\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import xarray as xr\n",
+    "\n",
+    "# Niceties\n",
+    "from rich import print"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "dd7b7d3f-1489-4723-bb51-f3cffcb7a85c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General eWaterCycle\n",
+    "import ewatercycle\n",
+    "import ewatercycle.models\n",
+    "import ewatercycle.forcing"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "1c8aee93-b2d6-4291-89ae-1d29e69268cd",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Defining things\n",
+    "\n",
+    "basin_size = 132572\n",
+    "q_critical = 500"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "d7dce039-d1f3-44a0-b646-98c32ecffb28",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Choosing time period\n",
+    "\n",
+    "experiment_start_date = \"2019-01-01T00:00:00Z\"\n",
+    "experiment_end_date = \"2024-12-31T00:00:00Z\"\n",
+    "\n",
+    "validation_start = \"1999-01-01T00:00:00Z\"\n",
+    "validation_end = \"2019-12-31T00:00:00Z\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "d330bf37-7419-4287-81af-3d09e4c7a30e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create pathways for ERA 5 forcings\n",
+    "\n",
+    "forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"ERA5-1999-2019\"\n",
+    "\n",
+    "discharge_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
+    "\n",
+    "shape_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "\n",
+    "hbv_config = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"hbv_config\"\n",
+    "hbv_config.mkdir(parents=True, exist_ok=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "15ea4507-f559-4ef8-9756-60b8502064d7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# # Create pathways for ERA 5 forcings\n",
+    "\n",
+    "# forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"forcings\" / \"ERA5-1999-2019\"\n",
+    "\n",
+    "# discharge_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
+    "\n",
+    "# shape_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "\n",
+    "# hbv_config = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"hbv_config\"\n",
+    "# hbv_config.mkdir(parents=True, exist_ok=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "46ea8b1e-fb73-49ed-855c-4d95cd932748",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load CSV discharge 07DA001\n",
+    "\n",
+    "q_obs = pd.read_csv(discharge_file, skiprows=1)\n",
+    "q_obs = q_obs[[\"Date\", \"Value\"]].copy()\n",
+    "q_obs[\"Date\"] = pd.to_datetime(q_obs[\"Date\"])\n",
+    "q_obs = q_obs.rename(columns={\"Value\": \"discharge_m3s\"})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "8bb224ad-d23c-475f-b6af-4a6023a17044",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Define time period\n",
+    "validation_start_date = pd.to_datetime(validation_start.replace(\"Z\", \"\"))\n",
+    "validation_end_date = pd.to_datetime(validation_end.replace(\"Z\", \"\"))\n",
+    "\n",
+    "# Skip 1 year for filling storages\n",
+    "evaluation_start = pd.to_datetime(f\"{validation_start_date.year + 1}-01-01\")\n",
+    "\n",
+    "# Align q_obs to relevant dates\n",
+    "q_obs = q_obs[(q_obs[\"Date\"] >= validation_start_date) & (q_obs[\"Date\"] <= validation_end_date)]\n",
+    "observed_output = pd.Series(data=q_obs[\"discharge_m3s\"].to_numpy(), name=\"Observed discharge\", index=q_obs[\"Date\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "fc27f6f8-e7ff-4be6-b073-05006d25426a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Date\n",
+       "1999-01-01    104.0\n",
+       "1999-01-02    103.0\n",
+       "1999-01-03    101.0\n",
+       "1999-01-04    103.0\n",
+       "1999-01-05    105.0\n",
+       "Name: Observed discharge, dtype: float64"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "observed_output.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "7f6f57aa-9f39-4524-ba3a-34f55035ebab",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA/YAAAHUCAYAAACQ47NAAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8fJSN1AAAACXBIWXMAAA9hAAAPYQGoP6dpAAD0/klEQVR4nOydd3wUZf7HP5tOQggECAFEQEVEAUVQBFRQAVERlVNO8bD3yu/wPLt4Knh6p3hyllMEFXv3PEVBEUVAmihNROm9hQAhdTO/PzYz+8zszGyb8mzyeb9evNidnWS/mZmnfHtAURQFhBBCCCGEEEIISUnS/BaAEEIIIYQQQgghiUPFnhBCCCGEEEIISWGo2BNCCCGEEEIIISkMFXtCCCGEEEIIISSFoWJPCCGEEEIIIYSkMFTsCSGEEEIIIYSQFIaKPSGEEEIIIYQQksJQsSeEEEIIIYQQQlIYKvaEEEIIIYQQQkgKQ8WeEEIaMPPmzcNFF12E1q1bIysrC8XFxbjwwgsxd+7ciHPHjh2LQCCAXbt2+SCpv3To0AFXXHFFQj+7bt06BAIBTJkyJe6f/eabbxAIBPDNN99ox9T74DYDBgzAgAEDtPfJ/B3RuOKKK9C4cWPHf2+qMG7cOHz00Udx/cxbb72F4447Djk5OWjTpg1Gjx6NAwcO6M654oorEAgELP/NmzdPO3fAgAHa8bS0NOTn5+OII47ARRddhPfeew+1tbWWsixduhSBQACZmZnYunWr5XmLFy/GwIED0bhxYzRt2hTDhw/HmjVrTM995plncNRRRyE7OxsdO3bEQw89hOrqat05mzZtwujRo9G/f380bdrUteeTEEJSASr2hBDSQHnmmWfQr18/bNq0CY8//jhmzJiBf/zjH9i8eTNOPvlkTJw40W8RGzzHH3885s6di+OPP95vUdC6dWvMnTsX55xzjt+i1DviVexff/11XHLJJTjhhBPw+eef48EHH8SUKVMwfPhw3Xn3338/5s6dG/GvRYsWaNu2LU444QTd+Ycddhjmzp2LOXPm4KOPPsJdd92F8vJyXHTRRRgwYABKS0tN5XnppZcAADU1NXj11VdNz/nll18wYMAAVFVV4Z133sHLL7+MX3/9Faeccgp27typO/fRRx/F7bffjuHDh+OLL77ATTfdhHHjxuHmm2/Wnffbb7/h9ddfR1ZWFs4+++yYrx8hhNRLFEIIIQ2O2bNnK2lpacrQoUOV6upq3WfV1dXK0KFDlbS0NGX27Nna8QcffFABoOzcudNrcSM4ePCgp9/Xvn175fLLL0/oZ9euXasAUCZPnuyILOp9cJv+/fsr/fv3d/17FEVRLr/8ciUvL8/17/H6uYmVvLy8mJ+vmpoapXXr1srgwYN1x19//XUFgPLZZ5/Z/vw333yjAFDuu+8+3fH+/fsrxxxzjOnPvPzyywoAZcSIERGfVVRUKM2bN1eOPfZYpW3btsqRRx5p+jsuuugipUWLFkppaal2bN26dUpmZqZy5513asd27dql5OTkKNddd53u5x999FElEAgoy5cv144Fg0Ht9YIFCxwdZ4QQkmrQY08IIQ2Q8ePHIxAI4LnnnkNGRobus4yMDDz77LMIBAJ47LHHIn5248aNGD58OJo0aYKCggL86U9/ivC4ff311xgwYACaN2+ORo0a4dBDD8Uf/vAHHDx4UDunqqoKjzzyiBZu27JlS1x55ZURv6tDhw4YOnQoPvjgA/To0QM5OTl46KGH0KNHD5xyyikR8gWDQbRt21bnvYz1u6qrq3HnnXeiuLgYubm5OPnkkzF//vyYr+uWLVswYsQI5Ofno6CgAH/84x+xbdu2iPMWLlyIiy++GB06dECjRo3QoUMHXHLJJVi/fr3uPLNQfCNXX301CgsLdddW5fTTT8cxxxxjK7OiKHj88cfRvn175OTk4Pjjj8fnn38ecZ5ZKP7OnTtx3XXXoV27dtp17devH2bMmKH72WnTpuGMM85AQUEBcnNz0aVLF4wfPz7iO3777TecffbZaNy4Mdq1a4cxY8agsrJSd85DDz2E3r17o7CwEE2aNMHxxx+PSZMmQVEU3XlWzw0ALF++HIMHD0Zubi5atmyJm2++Gf/73/9Mr/WMGTNwxhlnoEmTJsjNzUW/fv3w1Vdf2V5TAKioqMCYMWNw3HHHoaCgAIWFhejTpw8+/vhj3XmBQABlZWV45ZVXtFB4MQXCyLx587B161ZceeWVuuMXXXQRGjdujA8//NBWrkmTJiEQCOCqq66K+jeoXHnllTj77LPx7rvvRjyjH330EXbv3o1rrrkGl19+OX799VfMnj1bd05NTQ0+/fRT/OEPf0CTJk204+3bt8dpp52mk3natGmoqKiI+PuuvPJKKIqii2xIS+M2lhBCVDKin0IIIaQ+EQwGMXPmTPTq1QuHHHKI6Tnt2rVDz5498fXXXyMYDCI9PV377IILLsCIESNwww03YPny5bj//vuxYsUK/PDDD8jMzMS6detwzjnn4JRTTsHLL7+Mpk2bYvPmzZg2bRqqqqqQm5uL2tpanHfeefjuu+9w5513om/fvli/fj0efPBBDBgwAAsXLkSjRo2071y8eDFWrlyJ++67Dx07dkReXh7atGmD22+/HatXr0anTp20c7/88kts2bJFUwzi+a5rr70Wr776Ku644w4MGjQIy5Ytw/Dhw7F///6o17W8vBwDBw7Eli1bMH78eBx55JH43//+hz/+8Y8R565btw6dO3fGxRdfjMLCQmzduhXPPfccTjjhBKxYsQItWrSI7WYCuP322/Hyyy/jjTfewDXXXKMdX7FiBWbOnIl///vftj//0EMP4aGHHsLVV1+NCy+8EBs3bsS1116LYDCIzp072/7sqFGjsHjxYjz66KM48sgjsXfvXixevBi7d+/Wzpk0aRKuvfZa9O/fH88//zyKiorw66+/YtmyZbrfVV1djWHDhuHqq6/GmDFj8O233+Lhhx9GQUEBHnjgAd21u/7663HooYcCCCm6t956KzZv3qw7DzB/brZu3Yr+/fsjLy8Pzz33HIqKivDmm2/illtuifj7pk6dissuuwznnXceXnnlFWRmZuKFF17AmWeeiS+++AJnnHGG5bWprKzEnj17cMcdd6Bt27aoqqrCjBkzMHz4cEyePBmXXXYZAGDu3Lk4/fTTcdppp+H+++8HAJ3ya0S9bt27d9cdz8zMxFFHHRVxXUVKS0vx3nvv4YwzzkDHjh0tzzNj2LBh+Oyzz/Ddd9+hffv22vFJkyYhOzsbl156Kfbs2YPx48dj0qRJOPnkk7Vzfv/9d5SXl0fIrP4d06dPR0VFBXJycjT5u3XrpjuvdevWaNGihe3fRwghDRqfIwYIIYR4zLZt2xQAysUXX2x73h//+EcFgLJ9+3ZFUcIh4P/3f/+nO08NAZ46daqiKIry3nvvKQCUJUuWWP7uN998UwGgvP/++7rjajjts88+qx1r3769kp6erqxatUp37q5du5SsrCzlnnvu0R0fMWKE0qpVKy3FINbvWrlype3fFy1U+rnnnlMAKB9//LHu+LXXXhs1RLimpkY5cOCAkpeXpzz99NPa8ZkzZyoAlJkzZ2rHzELx+/fvrxx33HG6YzfeeKPSpEkTZf/+/ZbfW1JSouTk5CgXXHCB7vj333+vANCF4pulFDRu3FgZPXq05e/fv3+/0qRJE+Xkk09WamtrLc+7/PLLFQDKO++8ozt+9tlnK507d7b8uWAwqFRXVyt/+9vflObNm+u+w+q5+ctf/hIR0q0oinLmmWfqrnVZWZlSWFionHvuuRHfeeyxxyonnniipVxm1NTUKNXV1crVV1+t9OjRQ/dZPKH4jz76qAJA2bp1a8RngwcPtgyFV5TwM/rmm29GfGYXiq8oivL5558rAJS///3v2rF169YpaWlpurmkf//+Sl5enrJv3z7tmPo8mX3vuHHjFADKli1bFEUJjZfs7GxTGY488siIFAQVhuITQho6jGEihBBiilIX2myswH7ppZfq3o8YMQIZGRmYOXMmAOC4445DVlYWrrvuOrzyyiumVa8//fRTNG3aFOeeey5qamq0f8cddxyKi4sjwqG7d++OI488UnesefPmOPfcc/HKK69oFbtLSkrw8ccf47LLLtNSDGL9LlV+q78vGjNnzkR+fj6GDRumOz5y5MiIcw8cOIC//vWvOOKII5CRkYGMjAw0btwYZWVlWLlyZdTvMnL77bdjyZIl+P777wEA+/btw2uvvYbLL7/cttr83LlzUVFREfE39+3bV+eVteLEE0/ElClT8Mgjj2DevHkRVcvnzJmDffv24aabbopayT8QCODcc8/VHevevXtE6PfXX3+NgQMHoqCgAOnp6cjMzMQDDzyA3bt3Y8eOHRE/b3xuZs2aha5du+Loo4/WHb/kkksiZN+zZw8uv/xy3XNTW1uLIUOGYMGCBSgrK7P9m959913069cPjRs3RkZGBjIzMzFp0qSE7rERq+tpd50nTZqE5s2b44ILLoj7+xRDqgMATJ48GbW1tbqw/quuugplZWV4++2345JN/CzW8wghhIShYk8IIQ2MFi1aIDc3F2vXrrU9b926dcjNzUVhYaHueHFxse59RkYGmjdvroVfH3744ZgxYwaKiopw88034/DDD8fhhx+Op59+WvuZ7du3Y+/evcjKykJmZqbu37Zt2yJa6rVu3dpUxquuugqbN2/G9OnTAQBvvvkmKisrda3pYv0uVX6rvy8au3fvRqtWrSKOG38fEFL2J06ciGuuuQZffPEF5s+fjwULFqBly5YoLy+P+l1GzjvvPHTo0EELu58yZQrKysoiqoibyWwlo9kxI2+//TYuv/xyvPTSS+jTpw8KCwtx2WWXaXUF1BoGVikfIrm5ucjJydEdy87ORkVFhfZ+/vz5GDx4MADgxRdfxPfff48FCxbg3nvvBYCIa2f23FjdJ+Ox7du3AwAuvPDCiOfm73//OxRFwZ49eyz/ng8++AAjRoxA27ZtMXXqVMydOxcLFizAVVddpfub4kV9FsV0B5U9e/ZEjFeVn3/+GQsXLsSf/vQnZGdnx/29qoGlTZs2AEIpLlOmTEGbNm3Qs2dP7N27F3v37sXAgQORl5eHSZMmxSxzIBBA06ZNtXMrKipMa0bY/X2EENLQYY49IYQ0MNLT03Haaadh2rRp2LRpk6nStWnTJixatAhnnXWWLr8eALZt24a2bdtq72tqarB7926d8nvKKafglFNOQTAYxMKFC/HMM89g9OjRaNWqFS6++GK0aNECzZs3x7Rp00xlzM/P17238tKdeeaZaNOmDSZPnowzzzwTkydPRu/evXXe2Fi/S5Xf6u+LRvPmzU0L7RmL55WWluLTTz/Fgw8+iLvuuks7ruZkJ0JaWhpuvvlm3HPPPfjnP/+JZ599FmeccUbUHHnxbzaTu0OHDrY/36JFC0yYMAETJkzAhg0b8Mknn+Cuu+7Cjh07MG3aNLRs2RJA6HlygrfeeguZmZn49NNPdUYAq1ZxZs9N8+bNNaVdxHgN1DoHzzzzDE466STT329mIFCZOnUqOnbsiLffflsnh7EYYLyouedLly7VPec1NTX45ZdfIiIPVFRFW6zDEA+ffPIJAoEATj31VAChooKqsm9m+Jo3bx5WrFiBo48+GocffjgaNWqEpUuXRpy3dOlSHHHEEdr9FP++3r17a+epRriuXbsmJD8hhNR36LEnhJAGyN133w1FUXDTTTchGAzqPgsGg7jxxhuhKAruvvvuiJ99/fXXde/feecd1NTUmFbyTk9PR+/evTVP8uLFiwEAQ4cOxe7duxEMBtGrV6+If9EUUvH3jxo1Ch999BG+++47LFy4MKLad6zfpcpv9fdF47TTTsP+/fvxySef6I6/8cYbuveBQACKokR4TV966aWIexEP11xzDbKysnDppZdi1apVpsXgjJx00knIycmJ+JvnzJkTEQIfjUMPPRS33HILBg0apN3nvn37oqCgAM8//7xpKHe8BAIBZGRk6IxN5eXleO2112L+Hf3798eyZcuwYsUK3fG33npL975fv35o2rQpVqxYYfrc9OrVC1lZWbayZmVl6ZT6bdu2RVTFB0KRCbFGavTu3RutW7fWdScAgPfeew8HDhyI6GUPhIwJU6dOxYknnpiQYjx58mR8/vnnuOSSS7SihZMmTUJaWho++ugjzJw5U/dPvR8vv/wygFDUy7nnnosPPvhAV4hyw4YNmDlzpk7mIUOGICcnJ+LvmzJlCgKBAM4///y45SeEkIYAPfaEENIA6devHyZMmIDRo0fj5JNPxi233IJDDz0UGzZswL///W/88MMPmDBhAvr27Rvxsx988AEyMjIwaNAgrSr+scceixEjRgAAnn/+eXz99dc455xzcOihh6KiokLb4A8cOBAAcPHFF+P111/H2Wefjdtvvx0nnngiMjMzsWnTJsycORPnnXdezHnAV111Ff7+979j5MiRaNSoUUQV+li/q0uXLvjTn/6ECRMmIDMzEwMHDsSyZcvwj3/8w7ZKucpll12Gp556CpdddhkeffRRdOrUCZ999hm++OIL3XlNmjTBqaeeiieeeAItWrRAhw4dMGvWLEyaNEkLR06Epk2b4rLLLsNzzz2H9u3bR+Srm9GsWTPccccdeOSRR3DNNdfgoosuwsaNGzF27NioofilpaU47bTTMHLkSBx11FHIz8/HggULMG3aNE1Ra9y4Mf75z3/immuuwcCBA3HttdeiVatW+O233/DTTz9h4sSJcf2N55xzDp588kmMHDkS1113HXbv3o1//OMfcYWWjx49Gi+//DLOOuss/O1vf0OrVq3wxhtv4JdffgEQbqHWuHFjPPPMM7j88suxZ88eXHjhhSgqKsLOnTvx008/YefOnXjuuecsv0dttXfTTTdp3QYefvhhtG7dGqtXr9ad261bN3zzzTf473//i9atWyM/P9/SuJWeno7HH38co0aNwvXXX49LLrkEq1evxp133olBgwZhyJAhET/z0UcfYc+ePVG99eXl5Zg3b572es2aNfjoo4/w6aefal0NgFBI/ccff4wzzzwT5513nunveuqpp/Dqq69i/PjxyMzMxEMPPYQTTjgBQ4cOxV133YWKigo88MADaNGiBcaMGaP9XGFhIe677z7cf//9KCwsxODBg7FgwQKMHTsW11xzTURthPfeew8AtFoeCxcu1OpKXHjhhbZ/LyGE1Ct8LNxHCCHEZ+bOnatceOGFSqtWrZSMjAylqKhIGT58uDJnzpyIc9Vq7IsWLVLOPfdcpXHjxkp+fr5yySWXaJXz1d95wQUXKO3bt1eys7OV5s2bK/3791c++eQT3e+rrq5W/vGPfyjHHnuskpOTozRu3Fg56qijlOuvv15ZvXq1dl779u2Vc845x/bv6Nu3rwJAufTSS00/j/W7KisrlTFjxihFRUVKTk6OctJJJylz585V2rdvH1PV8k2bNil/+MMftGvzhz/8QZkzZ05EtW71vGbNmin5+fnKkCFDlGXLlkV8T6xV8VW++eYbBYDy2GOPRZVVpba2Vhk/frzSrl07JSsrS+nevbvy3//+V+nfv79tVfyKigrlhhtuULp37640adJEadSokdK5c2flwQcfVMrKynTf8dlnn2nV0nNzc5Wjjz5aV1398ssvV/Ly8iJkM/tbX375ZaVz585Kdna2cthhhynjx49XJk2apABQ1q5dq51n99wsW7ZMGThwoJKTk6MUFhYqV199tfLKK68oAJSffvpJd+6sWbOUc845RyksLFQyMzOVtm3bKuecc47y7rvvRr22jz32mNKhQwclOztb6dKli/Liiy+a/k1LlixR+vXrp+Tm5kZ0I7DijTfeULp3765kZWUpxcXFym233WbZAWHQoEERleqN9O/fXwGg/cvLy1MOO+ww5cILL1TeffddJRgMaudOmDBBAaB89NFHlr/v+eefj+hGsXDhQuWMM85QcnNzlSZNmijnn3++8ttvv5n+/NNPP60ceeSRSlZWlnLooYcqDz74oFJVVRVxniiz8R8hhDQkAoriQGwcIYQQQnxnzJgxeO6557Bx48aYCv6RMNdddx3efPNN7N692zbEnhBCCJERhuITQgghKc68efPw66+/4tlnn8X1119PpT4Kf/vb39CmTRscdthhOHDgAD799FO89NJLuO+++6jUE0IISUmo2BNCCCEpTp8+fZCbm4uhQ4fikUce8Vsc6cnMzMQTTzyBTZs2oaamBp06dcKTTz6J22+/3W/RCCGEkIRgKD4hhBBCCCGEEJLCsN0dIYQQQgghhBCSwlCxJ4QQQgghhBBCUhgq9oQQQgghhBBCSArD4nkxUltbiy1btiA/Px+BQMBvcQghhBBCCCGE1HMURcH+/fvRpk0bpKVZ++Wp2MfIli1b0K5dO7/FIIQQQgghhBDSwNi4cSMOOeQQy8+p2MdIfn4+gNAFbdKkic/SEEIIIYQQQgip7+zbtw/t2rXT9FErqNjHiBp+36RJEyr2hBBCCCGEEEI8I1o6OIvnEUIIIYQQQgghKQwVe0IIIYQQQgghJIWhYk8IIYQQQgghhKQwVOwJIYQQQgghhJAUhoo9IYQQQgghhBCSwlCxJ4QQQgghhBBCUhgq9oQQQgghhBBCSApDxZ4QQgghhBBCCElhqNgTQgghhBBCCCEpDBV7QgghhBBCCCEkhaFiTwghhBBCCCGEpDBU7AkhhBBCCCGEkBSGij0hhBBCCCGEEJLCULEnhBBCCJGclVv34bKX5+PnTXv9FoUQQoiEULEnhBBCCJGcP730A779dSeGTfzeb1EIIYRICBV7QgghhBDJ2V1W5bcIhBBCJIaKPSGEEEIIIYQQksJQsSeEEEIIIYQQQlIYKvaEEEIIIYQQQkgKQ8WeEEIIIYQQQghJYajYE0IIIYQQQgghKQwVe0IIIYQQQgghJIWhYk8IIYQQQgghhKQwVOwJIYQQQgghhJAUhoo9IYQQQgghhBCSwlCxJ4QQQgghhBBCUhgq9oQQQgghhBBCSApDxZ4QQgghhBBCCElhqNgTQgghhBBCCCEpDBV7QgghhBDJCQT8loAQQojMULEnhBBCCCGEEEJSGCr2hBBCCCGSQ4c9IYQQO6jYE0IIIYRIToCx+IQQQmygYk8IIYQQIjlU6wkhhNhBxZ4QQgghRHLosCeEEGIHFXtCCCGEEMkJ0GdPCCHEBir2hBBCCCGEEEJICkPFnhBCCCFEduiwJ4QQYgMVe0IIIYQQyUmjYk8IIcQGKvaEEEIIIZLDHHtCCCF2ULEnhBBCCCGEEEJSGCr2hBBCCCGSw3Z3hBBC7KBiTwghhBAiOdTrCSGE2CGNYj9+/HgEAgGMHj1aO6YoCsaOHYs2bdqgUaNGGDBgAJYvX677ucrKStx6661o0aIF8vLyMGzYMGzatEl3TklJCUaNGoWCggIUFBRg1KhR2Lt3rwd/FSGEEEJI8gTosieEEGKDFIr9ggUL8J///Afdu3fXHX/88cfx5JNPYuLEiViwYAGKi4sxaNAg7N+/Xztn9OjR+PDDD/HWW29h9uzZOHDgAIYOHYpgMKidM3LkSCxZsgTTpk3DtGnTsGTJEowaNcqzv48QQgghJBmo1hNCCLHDd8X+wIEDuPTSS/Hiiy+iWbNm2nFFUTBhwgTce++9GD58OLp27YpXXnkFBw8exBtvvAEAKC0txaRJk/DPf/4TAwcORI8ePTB16lQsXboUM2bMAACsXLkS06ZNw0svvYQ+ffqgT58+ePHFF/Hpp59i1apVvvzNhBBCCCFxQc2eEEKIDb4r9jfffDPOOeccDBw4UHd87dq12LZtGwYPHqwdy87ORv/+/TFnzhwAwKJFi1BdXa07p02bNujatat2zty5c1FQUIDevXtr55x00kkoKCjQzjGjsrIS+/bt0/0jhBBCCCGEEEJkI8PPL3/rrbewePFiLFiwIOKzbdu2AQBatWqlO96qVSusX79eOycrK0vn6VfPUX9+27ZtKCoqivj9RUVF2jlmjB8/Hg899FB8fxAhhBBCiAvQYU8IIcQO3zz2GzduxO23346pU6ciJyfH8jxjsRhFUaIWkDGeY3Z+tN9z9913o7S0VPu3ceNG2+8khBBCCHELFs8jhBBih2+K/aJFi7Bjxw707NkTGRkZyMjIwKxZs/Cvf/0LGRkZmqfe6FXfsWOH9llxcTGqqqpQUlJie8727dsjvn/nzp0R0QAi2dnZaNKkie4fIYQQQogfUK8nhBBih2+K/RlnnIGlS5diyZIl2r9evXrh0ksvxZIlS3DYYYehuLgY06dP136mqqoKs2bNQt++fQEAPXv2RGZmpu6crVu3YtmyZdo5ffr0QWlpKebPn6+d88MPP6C0tFQ7hxBCCCFEZqjXE0IIscO3HPv8/Hx07dpVdywvLw/NmzfXjo8ePRrjxo1Dp06d0KlTJ4wbNw65ubkYOXIkAKCgoABXX301xowZg+bNm6OwsBB33HEHunXrphXj69KlC4YMGYJrr70WL7zwAgDguuuuw9ChQ9G5c2cP/2JCCCGEkMRgKD4hhBA7fC2eF40777wT5eXluOmmm1BSUoLevXvjyy+/RH5+vnbOU089hYyMDIwYMQLl5eU444wzMGXKFKSnp2vnvP7667jtttu06vnDhg3DxIkTPf97CCGEEEIIIYQQpwkoiqL4LUQqsG/fPhQUFKC0tJT59oQQQgjxlJ4PT8fusioAwLrHzvFZGkIIIV4Rqx7qex97QgghhBBiDyPxCSGE2EHFnhBCCCFEeqjZE0IIsYaKPSGEEEKI5NBjTwghxA4q9oQQQgghkkO9nhBCiB1U7AkhhBBCCCGEkBSGij0hhBBCiOQwFJ8QQogdVOwJIYQQQiQnwGB8QgghNlCxJ4QQQgiRHHrsCSGE2EHFnhBCCCFEcqjXE0IIsYOKPSGEEEKI5ATosieEEGIDFXtCCCGEEEIIISSFoWJPCCGEEEIIIYSkMBl+C0AIIYQQQszZvq8Cny3dirKqGr9FIYQQIjFU7AkhhBBCJGXEC3OxfvdBv8UghBAiOQzFJ4QQQgiRFCr1hBBCYoGKPSGEEEIIIYQQksJQsSeEEEIIIYQQQlIYKvaEEEIIIYQQQkgKQ8WeEEIIIYQ4wobdB/GH5+bgi+Xb/BaFEEIaFFTsCSGEEEKII/z1/Z+xaH0Jrn9tkd+iEEJIg4KKPSGEEEIIcYSSg1V+i0AIIQ0SKvaEEEIIIcQRAoGA3yIQQkiDhIo9IYQQQgghhBCSwlCxJ4QQQgghjkB/PSGE+AMVe0IIIYQQ4giMxCeEEH+gYk8IIYQQQgghhKQwVOwJIYQQQogj0GNPCCH+QMWeEEIIIYQQQghJYajYE0IIIYQQRwiwfB4hhPgCFXtCCCGEEEIIISSFoWJPCCGEEEIcgTn2hBDiD1TsCSGEEEIIIYSQFIaKPSGEEEIIcQQ67AkhxB+o2BNCCCGEEEIIISkMFXtCCCGEEOIMTLInhBBfoGJPCCGEEEIIIYSkMFTsCSGEEEKII9BfTwgh/kDFnhBCCCGEEEIISWGo2BNCCCGEEEdgij0hhPgDFXtCCCGEEEIIISSFoWJPCCGEEEIcgQ57QgjxByr2hBBCCCGEEEJICkPFnhBCCCGEOEKASfaEEOILVOwJIYQQQgghhJAUhoo9IYQQQghxBPrrCSHEH6jYE0IIIYQQQgghKQwVe0IIIYQQ4ghMsSeEEH+gYk8IIYQQQgghhKQwVOwJIYQQQogjBJhlTwghvkDFnhBCCCGEOAP1ekII8QUq9oQQQgghxBGo1xNCiD9QsSeEEEIIIYQQQlIYKvaEEEIIIcQRWBWfEEL8gYo9IYQQQgghhBCSwlCxJ4QQQgghjsCq+IQQ4g9U7AkhhBBCUghFUfwWgRBCiGRQsSeEEEIISSGo1xNCCDFCxZ4QQgghJIWQWa9n8TxCCPEHKvaEEEIIISkEQ/EJIYQYoWJPCCGEAJjz+y7c99FSlFXW+C0KIbbIrNbTY08IIf6Q4bcAhBBCiAyMfPEHAEDj7EzcddZRPktDiDV02BNCCDFCjz0hhBAisGFPmd8iEGKLIrHPnu3uCCHEH6jYE0IIIQK1tX5LQIg99NgTQggxQsWeEEIIEZDZG0oIILdizxx7QgjxByr2hBBCiIDMShMhAI1PhBBCIqFiTwghhAjUUmcikkPjEyGEECNU7AkhhBAB9ggnssMnlBBCiBEq9oQQQohALRV7IjkyG58CTLInhBBfoGJPCCGECMirMhESguki8SOzMYQQQpyAij0hhBAiQKWJSI/Ez6iM/vp/fLEK/R77Gjv3V/otCiGEuIaviv1zzz2H7t27o0mTJmjSpAn69OmDzz//XPtcURSMHTsWbdq0QaNGjTBgwAAsX75c9zsqKytx6623okWLFsjLy8OwYcOwadMm3TklJSUYNWoUCgoKUFBQgFGjRmHv3r1e/ImEEEJSDHr2iOywKn58TJz5G7aUVuA/3/7utyiEEOIavir2hxxyCB577DEsXLgQCxcuxOmnn47zzjtPU94ff/xxPPnkk5g4cSIWLFiA4uJiDBo0CPv379d+x+jRo/Hhhx/irbfewuzZs3HgwAEMHToUwWBQO2fkyJFYsmQJpk2bhmnTpmHJkiUYNWqU538vIYQQ+aFeT2RH5mdU5hR7ma8bIYQkS4afX37uuefq3j/66KN47rnnMG/ePBx99NGYMGEC7r33XgwfPhwA8Morr6BVq1Z44403cP3116O0tBSTJk3Ca6+9hoEDBwIApk6dinbt2mHGjBk488wzsXLlSkybNg3z5s1D7969AQAvvvgi+vTpg1WrVqFz587e/tGEEEKkht5QIjt8QhOD140QUp+RJsc+GAzirbfeQllZGfr06YO1a9di27ZtGDx4sHZOdnY2+vfvjzlz5gAAFi1ahOrqat05bdq0QdeuXbVz5s6di4KCAk2pB4CTTjoJBQUF2jlmVFZWYt++fbp/hBBC6j/06hGZMPOAy5wuIrHDnhCS4pSUVfktgtT4rtgvXboUjRs3RnZ2Nm644QZ8+OGHOProo7Ft2zYAQKtWrXTnt2rVSvts27ZtyMrKQrNmzWzPKSoqivjeoqIi7Rwzxo8fr+XkFxQUoF27dkn9nYQQQlIDtrsjMmGmKMtc4JHt7gghbvDOgo3o8fB0TJjxq9+iSIvvin3nzp2xZMkSzJs3DzfeeCMuv/xyrFixQvvcuEAoihJ10TCeY3Z+tN9z9913o7S0VPu3cePGWP8kQgghKYzMShNpeJjuYSQOKqdaTwhxg7s/XAoAmDBjtc+SyIvvin1WVhaOOOII9OrVC+PHj8exxx6Lp59+GsXFxQAQ4VXfsWOH5sUvLi5GVVUVSkpKbM/Zvn17xPfu3LkzIhpAJDs7W6vWr/4jhBBS/5E5zJk0PEwVZT6iCcGhTUjqQqNhdHxX7I0oioLKykp07NgRxcXFmD59uvZZVVUVZs2ahb59+wIAevbsiczMTN05W7duxbJly7Rz+vTpg9LSUsyfP18754cffkBpaal2DiGEEKLCzT+RCdMce+/FiBlG4hNC3CCNk0tUfK2Kf8899+Css85Cu3btsH//frz11lv45ptvMG3aNAQCAYwePRrjxo1Dp06d0KlTJ4wbNw65ubkYOXIkAKCgoABXX301xowZg+bNm6OwsBB33HEHunXrplXJ79KlC4YMGYJrr70WL7zwAgDguuuuw9ChQ1kRn3jOjn0V2FtejSNb5fstCiHEAubYE5kIIACjKs9HlBDS4KBeHxVfFfvt27dj1KhR2Lp1KwoKCtC9e3dMmzYNgwYNAgDceeedKC8vx0033YSSkhL07t0bX375JfLzw0rRU089hYyMDIwYMQLl5eU444wzMGXKFKSnp2vnvP7667jtttu06vnDhg3DxIkTvf1jCQFw4rivAADf3Xka2hXm+iwNIcQM6kxEJsw99jI/pdx9E0KchzNLdOJW7NetW4fvvvsO69atw8GDB9GyZUv06NEDffr0QU5OTly/a9KkSbafBwIBjB07FmPHjrU8JycnB8888wyeeeYZy3MKCwsxderUuGQjxE2WbymlYk+IpLB4HpEJM8WezyghpKHBUPzoxKzYv/HGG/jXv/6F+fPno6ioCG3btkWjRo2wZ88e/P7778jJycGll16Kv/71r2jfvr2bMhOS8nBTRojEMM6ZSI7MBR659yaEuAHnlujEpNgff/zxSEtLwxVXXIF33nkHhx56qO7zyspKzJ07F2+99RZ69eqFZ599FhdddJErAhNSH2AOLyHywtFJZCJgEoDKJYQQ0tCgxz46MSn2Dz/8MM455xzLz7OzszFgwAAMGDAAjzzyCNauXeuYgITUR+ixJ0ReaHgjMpGWYntZmcWVuzYBIcQOmecWWYhJsbdT6o20aNECLVq0SFggQhoCModREtLQ4fAkMhEw8VLxGSWENDTosI9O3H3sFy9ejKVLl2rvP/74Y5x//vm45557UFVV5ahwhNQntpVWaK/pESREXhhRQ2TCbC8rs+eZm29CiBuYGTmJnrgV++uvvx6//vorAGDNmjW4+OKLkZubi3fffRd33nmn4wISUl94fNov2uvaWh8FIYTYwogaIhWsik8IISmXluQHcSv2v/76K4477jgAwLvvvotTTz0Vb7zxBqZMmYL333/fafkIqTccrApqr4NUHAiRFkbUEJkw9djzGSWENDDosY9O3Iq9oiiorXM3zpgxA2effTYAoF27dti1a5ez0hFSj2iUla695qaMEHnh8CQyYZpj74McsWJWxV8WOLYJSV3knVnkIW7FvlevXnjkkUfw2muvYdasWVphvbVr16JVq1aOC0hIfUFs0xFkKD4h0kKPPZEJMycVH9HYoSGdENJQiFuxnzBhAhYvXoxbbrkF9957L4444ggAwHvvvYe+ffs6LiAhhBDiJVQDiEyY926W9ymVKVp278EqnPz3mX6LQQhxAJnmFlmJqd0dEMqtP/LII9G9e3ddVXyVJ554Aunp6SY/SQgBOCERkjLIqzORBoh5jr3nYqQkU+etx+a95X6LQQhxBG6koxGzx75Hjx7o0qUL/vrXv2Lu3LkRn+fk5CAzM9NR4QipT3A6IiQ1YCg+kR2Zq+LLZMSuDkp8oQghxGFiVux3796Nxx9/HLt378YFF1yAVq1a4eqrr8Ynn3yCioqK6L+AkAaOTJsdQog1VAWI7Mjcx14maKQjhDQkYlbsc3JycO655+Kll17C1q1b8eGHH6Jly5a466670Lx5c5x33nl4+eWXsWPHDjflJaRewE0ZIfJCZYDIjsyPqExV8WtkDm0ghMQFHWTRibt4HhBqvdK3b1889thjWLFiBZYsWYJTTz0VU6ZMQbt27fDvf//baTkJIYQQT6hl1woiEWaqqcyKvUzwOhFSf6BeH52Yi+fZ0alTJ4wZMwZjxozB7t27sWfPHid+LSH1Cpm8GIQQa9gei8iE2fModdSXREtdmkSyEEKI28Tssf/ggw9w2WWXYdq0aTj++OPx/vvvm57XvHlzdOrUyTEBCakvMISIkNRAYpWJEAD0RMdKOjV7QuoN3EdHJ2bF/tlnn8V///tfpKen47HHHsNDDz3kplyE1DvECYmbMkLkhTn2RCZSLRRfpr13gJoAIaQBEXMoflpaGo455hgMGjQIANCsWTPXhCKEEEL8QmaliTQ8zJ5HmUPxRWVaURRflWujw55pNoSkLmJKa1llDfKyHckor1fE7LFv0aIFXn31Ve19MBh0RSBCCCHET1hIm8iEaY69xM+oqEv7LWcaPfaE1BvE4XzJi/P8E0RiYjZ1vPTSS8jNzQUAVFVV4amnnnJNKEIIIcQvalgWn0iOxHq9Dr/lZIo9IfWTnzeV+i2ClMTssVeVegDIysrCCSec4IpAhDQE/N7sEEKsqaqhYk/kwTzHXt5VRF9Pxl85mWNPCGlIxJ2cUFFRgWeeeQYzZ87Ejh07UGvwbCxevNgx4QipT0i8DyOECFQHqdgTiTDNsU8N/JBzx74KVNbUol1hbkQofqpcN0JIJDTTRSduxf6qq67C9OnTceGFF+LEE0+kNZQQQki9ojrI7T+Rh5Tz2Auv/RDzxHFfAQB+emAw0mOOSyWEyA51zujErdj/73//w2effYZ+/fq5IQ8h9RaJ92GEEEJSiFRZT7yu3i8aPFbv2M/ieYSQBkXctsy2bdsiPz/fDVkIaTikyq6MEEKIr5h552Xu3KBvd+ftd4vRNuXVQXr4CDGhhulm9Za4Fft//vOf+Otf/4r169e7IQ8hhBBCCLGhlsZhU8SOFgEEkE69nhAdc3/fjS4PTMPUedTj6iNxK/a9evVCRUUFDjvsMOTn56OwsFD3jxASHW7JCCGExIJ5jr3nYsSMqEt7bYCIVh9D5utGiBfc+uZiVAcV3PfRMr9FiRsG4EQn7hz7Sy65BJs3b8a4cePQqlUrhjkREiPVgichI40VfQghhCSGzMXzRLwW0xhinBpXiRAvSV29jSpndOJW7OfMmYO5c+fi2GOPdUMeQuotYm/sjDTOToQQQqJjphzLnGMv6g1ei1kjXJigotBDT4gBKsf1m7jdhkcddRTKy8vdkIWQeg17YxNCCHGCVMmx9zqyQPy6YG1tylwnQryCen39Jm7F/rHHHsOYMWPwzTffYPfu3di3b5/uHyHEHDH83usWQIQQQlITs/VCZoU1IKgOXkspXqto+faENERS2WMfoFkiKnGH4g8ZMgQAcMYZZ+iOK4qCQCCAYDDojGSE1DN6tm+G/y3dCoAFfAghhCSOLGtIeVUQL3z7O848phhdWjeJ+NxrOWt1HnuG4hNihMpx/SZuxX7mzJluyEFIvUe0kkqdH0kIIUQazJRTWaK+Jnz1K16YtQYTZqzGusfOAWDwCHosphj6X1OrSB3ZQIgfpLTHPoVl94q4Ffv+/fu7IQchDQpZNmWEEEJSj1pJSrYs21xq+7nXa52ox9cEayO+nWsvIakL9froxJRjv2HDhrh+6ebNmxMShpD6jLjhoBOBEEJILJgtFzJ7onUOex/FpMeekEioHNdvYlLsTzjhBFx77bWYP3++5TmlpaV48cUX0bVrV3zwwQeOCUhIfUGxeE0IIYRYInG7u7QosbGeF89jjj0htgRSOJ49lWX3iphC8VeuXIlx48ZhyJAhyMzMRK9evdCmTRvk5OSgpKQEK1aswPLly9GrVy888cQTOOuss9yWm5CUxusWQIQQQuoPqbKGeC2n6KGvYYtZQuoVVOujE5PHvrCwEP/4xz+wZcsWPPfcczjyyCOxa9curF69GgBw6aWXYtGiRfj++++p1BNigbjBSZE9GSGEEJ8xywuXZQkx86CJh7xvdxemplZBrSG0gWsvaejQ6V2/iat4Xk5ODoYPH47hw4e7JQ8hDYJU8baQ+sGKLftQmJeF4oIcv0UhhDiALLnj0XQEr8XUVcUPslQeIUao2Ndv4q6KTwhJHm42iFds2H0QZ//rOwDQ2lERQlIHM+VYlhx7MyVBVyjW66r4wusa5tgTEkFK97FPYdG9IqZQfEKIs8iyKSP1n2Vb7NtREUJSD1mivqLusz332IdfB2trpYlsIEQW6LGv31CxJ8Qj9O3uuNkg3hCtajUhRG5Srd2dnx1gxLW1mqH4RBJqaxVU1gT9FgNAaju9U1l2r6BiT4hHcItB/CCNKyEh9Y5aSQq+R21357XHXngdanenWH5OiFcM+/dsHPfQdBysqvFblJRuGWeU/edNeyMKZDZ0qNgT4gMSO1tIPYMee0JSG7MIL1mWEOly7IWvY449kYVlm/ehvDqIJRv2+i1KvfJ6D5v4PZ6b9bvfYkhFQor9a6+9hn79+qFNmzZYv349AGDChAn4+OOPHRWOkPqEuMGQOYyS1C/SaL4lpN4hzxoim8de38eekXJEJqRwLtcnzR7AS9+t8VsEqYh7y/fcc8/hz3/+M84++2zs3bsXwWAoZ6Rp06aYMGGC0/IRUi+RYW4nDYNUDrsjhJivF7LUaTH12AsSe59jH35dU6tEKFKyXDfSMJHB0JTKOwIz2f2/onIRt2L/zDPP4MUXX8S9996L9PR07XivXr2wdOlSR4UjpD6hKyjEmYh4RLqw82YuGiH1A1mGcvQ+9t4KKkYyBE1C8WWpTUAaJtz7JQf9FNGJW7Ffu3YtevToEXE8OzsbZWVljghFSH1HBqstaRiIOfZB7ioISTnM+9jLMZZNN9q6DjCeiRLxfTW1tSbF8+S4bqRhIsPTV9+i+CSZCqUhbsW+Y8eOWLJkScTxzz//HEcffbQTMhFSL1F83OyQhotYFT8oi5uPEJIUqbKG+ClnjUm7uyA99sRHZEgFSWW1PmAivQzXVCYy4v2Bv/zlL7j55ptRUVEBRVEwf/58vPnmmxg/fjxeeuklN2QkpF6gyzvkREQ8QrTOU7EnpH4gyxpi1nVD38fe76r4Bo+9JNeNNExkePzqmcNeimsqE3Er9ldeeSVqampw55134uDBgxg5ciTatm2Lp59+GhdffLEbMhJS7+BERLxC57Hng2dLWiCcu6woSr0LWST1B1lsdNGGiK9V8U2K53EOJH4iQypIKrfANS/WSUTiVuwB4Nprr8W1116LXbt2oba2FkVFRU7LRUi9Q9/blxBvSBM0+2CQT54daYGAlrtcqwDpqbv/IfUEKw+zNDn2UUJjvZZSVOSXby5Fy85Flp8T4jWSDNt6BaNw9CTV4bhFixZU6glJAFk2ZaT+Q4997IjeAI5RIjPSKKhRPfZeh+KHv2/NrrIIDyk7gxA/4bJC3CZuj32PHj1MwxMDgQBycnJwxBFH4IorrsBpp53miICE1Ec4uROvEJ81bmrtCa1tqsee14r4j9VjKIuXKlpfac/72BvfG9vdSXLdSP1n/OcroSjAPWd30Y7J8PTVtxQzGa6pTMTtsR8yZAjWrFmDvLw8nHbaaRgwYAAaN26M33//HSeccAK2bt2KgQMH4uOPP3ZDXkLqBZyIiFeIunwNFXtbxO0O9/9EZmR5PqPJ4We7OyDU8k6EBUSJF5SWV+OFWWvwn2/XYO/BKu24DIalVFbrzYwSElxSqYjbY79r1y6MGTMG999/v+74I488gvXr1+PLL7/Egw8+iIcffhjnnXeeY4ISkuro8g45ExGPEJ81bmrtYSg+kQ2rp1CW57O8OhhxTC+avz776hpDKL4cl43Uc8TouCqhx6IMwzaVHfbmEUISXFSJiNtj/8477+CSSy6JOH7xxRfjnXfeAQBccsklWLVqVfLSEVKPYB974gfio0bF3p40tgYkKYIsj2dlTaRiL+L1Wme8LtUGj70sBhFSv9Epz74auiJJZcXeDA5pPXEr9jk5OZgzZ07E8Tlz5iAnJwcAUFtbi+zs7OSlI6SeQgsj8Qpdjj1XQFtExV4WxYk0bGSvim+Grzn2RsU+aPTYy3vdSP0hYLGWyPD4mXWySBXY7i46cYfi33rrrbjhhhuwaNEinHDCCQgEApg/fz5eeukl3HPPPQCAL774Aj169HBcWEJSGd1mhzMR8QjRiERl1R5x08B0GSIzsjyf0ZQE73PsjaH4zLEn/iIak/j0EbeJW7G/77770LFjR0ycOBGvvfYaAKBz58548cUXMXLkSADADTfcgBtvvNFZSQmpR3BvQbxCnwLCB88OUUXhGCUyYPUYyjKUTT1oOkXG43Z3hvfG4nmyXDdSz7GIlJMhYiSVQ/FNZff/kkpFXIp9TU0NHn30UVx11VW49NJLLc9r1KhR0oIRUt/QKViciYhHiM8d+9jbow+f5LUi8iKL4Sktipbgf1X80IGOLfKwdlcZPfbEE3SRcoJtSYZlJYX1etMIIe6n9cSVY5+RkYEnnngCwaB9sRRCSBQ4DxGPsNpgkEgUyTwrhFg9hrI8n2lRcl79DsVXFfncrHQA8lw3Ur+xMqhL8fSlssveBA5pPXEXzxs4cCC++eYbF0QhpH4jKlich4hXsHheYvBSERmw8kbJklZj1ldaxO9QfHXOy6izQHAOJF4gPmW6HHsJnj8zY1wq4/8VlYu4c+zPOuss3H333Vi2bBl69uyJvLw83efDhg1zTDhC6hM6BYvhgMQjWLQxdtgakKQKsjyepkqCj1XAI0Lx66rip2uKvbfykIaJYqHMy7AGp7JeH62mB0lAsVeL4j355JMRnwUCAYbpExIDnIaIV4jeAubYR4HRDUQyZA/FFz32iqJE9eC7jTFCQL1OqmJPgx3xAr2RWDzu//Pn9xgl7hK3Yl/LJE1CEoKeU+ILVFYTgpeKyIwsj6eoIihKyKOmSzvz22Nfq1fs6d0jXiA+ZmJnBj5+zsNLqifuHHtCSPLIYLUlDQP9JpvPnR1WeZGEyIYsz6dYFV+NCPKzA4zx21QPfUZaaLvLqCXiBeJzL0aJyPD4pbK/3uz6yXBNZSJujz0AlJWVYdasWdiwYQOqqqp0n912222OCEZIvUOyPCvSMNBV52XAVcwwYpfIjCxrSJrgHjIzNngtp1GGoMFjz6BT4gX6dVeuwsmpHIlPp1h04lbsf/zxR5x99tk4ePAgysrKUFhYiF27diE3NxdFRUVU7OsZiqLgf0u34ujWTXBYy8Z+i1NvoOeUeAWr4scO290R2bDMsZfE8qTPsdf/D/igyBi+MOyxZ1V84h1W664Mz59ZL3hSf4g7FP///u//cO6552LPnj1o1KgR5s2bh/Xr16Nnz574xz/+EdfvGj9+PE444QTk5+ejqKgI559/PlatWqU7R1EUjB07Fm3atEGjRo0wYMAALF++XHdOZWUlbr31VrRo0QJ5eXkYNmwYNm3apDunpKQEo0aNQkFBAQoKCjBq1Cjs3bs33j+/wfHliu245Y0fcfo/Z/ktSsqjWLwmxE1k21SkCjS+EZmRRK/Xh+KbCOX1nGP06Blz7DkHEi8Qn0O1M0PdB/6Twno9jRLRiVuxX7JkCcaMGYP09HSkp6ejsrIS7dq1w+OPP4577rknrt81a9Ys3HzzzZg3bx6mT5+OmpoaDB48GGVlZdo5jz/+OJ588klMnDgRCxYsQHFxMQYNGoT9+/dr54wePRoffvgh3nrrLcyePRsHDhzA0KFDdRX6R44ciSVLlmDatGmYNm0alixZglGjRsX75zc4ftyw128R6iXcWxCvYNHG2NHn2PsmBiEaln3spdAQgHRhn/3d6l0Y8cJcrN4R3p/5XTxPjWzISGdVfOId1qH4/j9/VI3rN3GH4mdmZmqhV61atcKGDRvQpUsXFBQUYMOGDXH9rmnTpuneT548GUVFRVi0aBFOPfVUKIqCCRMm4N5778Xw4cMBAK+88gpatWqFN954A9dffz1KS0sxadIkvPbaaxg4cCAAYOrUqWjXrh1mzJiBM888EytXrsS0adMwb9489O7dGwDw4osvok+fPli1ahU6d+4c72VoMKRyLo5sMCSa+IHVBoPYw2tFZEaWJSRdSLK/YeoikzM89thbVsVPM/2cEDfQtbtjfSXHoE4Snbg99j169MDChQsBAKeddhoeeOABvP766xg9ejS6deuWlDClpaUAgMLCQgDA2rVrsW3bNgwePFg7Jzs7G/3798ecOXMAAIsWLUJ1dbXunDZt2qBr167aOXPnzkVBQYGm1APASSedhIKCAu0cI5WVldi3b5/uX0OEY8g5dNXJfZSDNDQYih8rNL4R2ZC/j73957IUz2OOPfESMZWrhsXziIfErdiPGzcOrVu3BgA8/PDDaN68OW688Ubs2LED//nPfxIWRFEU/PnPf8bJJ5+Mrl27AgC2bdsGIBQZINKqVSvts23btiErKwvNmjWzPaeoqCjiO4uKirRzjIwfP17Lxy8oKEC7du0S/ttSGU4A7sC9BfEKXSErPne2+Nl/m5B4kEVBjSaG14EvVu3u1Bx7trsjXqAzEtfKZVxP5Tz11JXcO+IOxe/Vq5f2umXLlvjss88cEeSWW27Bzz//jNmzZ0d8FjBol4qiRBwzYjzH7Hy733P33Xfjz3/+s/Z+3759DVK5T+UJQDb087n/kztxlljmJT8QN9YML48dGTZghFg9hbIM5Wg5wzUe95ezDMUPsN0d8QfZ+tinRXHpyrqXKa8K4qdNpX6LIT1xe+zd4NZbb8Unn3yCmTNn4pBDDtGOFxcXA0CEV33Hjh2aF7+4uBhVVVUoKSmxPWf79u0R37tz586IaACV7OxsNGnSRPevISKO7T1lVf4JUs/g5qJ+sa20An0f+xpPz1jttyioCdZi5/5K7b3CUPyY0Yfi+ycHIdFIla4N3q91xqr4IQEyMxiKT7xD6j72Ng672loFI16Yiysmz5dujpk6b73fIqQEcSv227dvx6hRo9CmTRtkZGRo1fHVf/GgKApuueUWfPDBB/j666/RsWNH3ecdO3ZEcXExpk+frh2rqqrCrFmz0LdvXwBAz549kZmZqTtn69atWLZsmXZOnz59UFpaivnz52vn/PDDDygtLdXOIeaIw/+FWb/7Jkd9QN/uTq4JkyTHs9/8hq2lFXhqxq9+i4IrpyzACY/OwNI6yzaV1cSgAkBkwGpzLc3jGUUOr0PfjV9XXVOn2KeHtrsc18QLdO3uxIVXgufPzhm/qaQcC9aV4JtVO1FZI5cHan9ljd8ipARxh+JfccUV2LBhA+6//360bt06qXCNm2++GW+88QY+/vhj5Ofna575goICNGrUCIFAAKNHj8a4cePQqVMndOrUCePGjUNubi5GjhypnXv11VdjzJgxaN68OQoLC3HHHXegW7duWpX8Ll26YMiQIbj22mvxwgsvAACuu+46DB06lBXxoyHc370Hq30UpH4hwdxOHCRNorC171bvAgC8OncdnrjoWEMLNz54duhbA/JaEXlJlbEc9NhlbzReVtcdyKpT7INy6SqknlKrM6grpsdlRKKtTATpMgsnEXEr9rNnz8Z3332H4447Lukvf+655wAAAwYM0B2fPHkyrrjiCgDAnXfeifLyctx0000oKSlB79698eWXXyI/P187/6mnnkJGRgZGjBiB8vJynHHGGZgyZYouguD111/HbbfdplXPHzZsGCZOnJj039CQYNGZ5KDntP6SKTRz/n3nARzesrGP0oTYXxGybiu6TQUfvFjhGCUyIH+OvT1eK9LGaLjqoN5jL5PBTlEU/O3TFWiZn42bBhzhtzjEQcTnLChZ8TyRyHpk4c9kkzUjnYp9LMSt2Ldr186xiTGW3xMIBDB27FiMHTvW8pycnBw888wzeOaZZyzPKSwsxNSpUxMRs0EjDiPZBnmqoW93x2tZn1A3jUAolE0GxV7NLaVBKQ6E61MdrMVFz8/BIc1y8dQfj/NNJELMKK8O+i1CTHjtsTduU9T36hwtk4Pitx0HMPn7dQCAG/sfLmXBMpIY4lNWI1nxPPE5q1UAUV8Wow9lK7artqwk9sSdYz9hwgTcddddWLdunQviENnQrTNyjfHUhteyXpEuLDjVkuSlqWuyvoUbHzw7xGv108ZSLFhXgg9/3OyjRKShYzVk//fzVm8FsSDanOK9x94c1dtXK5GyUlEdvjhVzBGoV4jDYv7aPeHjPshixM5hJyr2shV5TqdiHxMxeeybNWums/CUlZXh8MMPR25uLjIzM3Xn7tmzx/jjJIURq2fSY58kiulLUg8QlxtZFh/V2m5VnZdEoqtxJHYTqFWQJsl9JUQlFZ5L74vnmX9fllY8z0tp7BHbjlVU1SI7I74C1ERmwg/ae4s2hY9KsI+2C7cXpxOZolsAeuxjJSbFfsKECS6LQWRFnADkGuKpDY0k9QurHDU/UZ8xhuLHjrjpEgv1VNfWIjuNm27iAzZjNqgoSLNpXeUF0XPs/Q3FV1HroMi09oqilFcHUYBM65NJSiHRYxaBLhDXbn6RbMOQkS5Fh3bpiUmxv/zyy92Wg0iKPmTHNzHqBfqK276JQVwgYJGj5ieax144JtOmVkbEq6NLrwgqyI67Ig0h7lITVJDps70p2pTid/E8lcwMtSq+PHOg2E4sVWomkNiwLnopz/MHRMoj836BHvvYiNv88dlnn+GLL76IOP7ll1/i888/d0QoIg86j71kgzyV4ZWMjZpgLRatL0GVJHnrVrRvnuu3CBGoi/LqHfvDxyTa1MqIOMWJBhpZ6iaQhoddodUa2ZJgTfB6zrH02Kel2X7uB+K6Vl5Fxb4+YfWcybAEixGGVsUmAbmMYIA8aY6yE7dif9dddyEYjJyAamtrcddddzkiFJEHuwmAxIdoGKGRJDYe+/wX/OG5Obj/o2V+i2JLhpAsKUteWm0tsGVvOV6YtSZ8TA7RpMRuTMpyTwkRkWHjHU2CGlkU+4zQXkamsSwWzKPHvn5hZZCTwQtuVzxPlFuG+UUkK4Oh+LEQ91VavXo1jj766IjjRx11FH777TdHhCJywhZtySHOnxLM7SnBS7PXAgDeXrjRZ0ns0YWvSbIY1tTW4pdt+3THZNhUyIrx0ojXiteN+IXdo+e10pwInhfPszieqRXPk+eaiR77Cir29Qqrx6wm6P/zZ2x3J6KvyeO/rCI5fucdpQhxK/YFBQVYs2ZNxPHffvsNeXl5jghF5EEfiu+fHPUNGknqF6K3VxYrd1ABcgxVlmVbqGXi9fkbdO9FpSkFIp5JA0SGuSZquzuPk+yt5jhVsVcUeSLmGIpff7F6DmUwxumq4hvkEd/JML+ISDJspSduxX7YsGEYPXo0fv/9d+3Yb7/9hjFjxmDYsGGOCkf8h+3unKNMWLh5KWMjKwWroMoyTmprFWRnpkUcI5E8Pu2XiHQPcVMjyz0lDQ+7J08GJSEanjsoLb5PXEtkuWxVQlrr2P8u91ES4jRWS4bXXSLMEFPVjXOIInGkmp1BbtW2/ZafNTTi3jU/8cQTyMvLw1FHHYWOHTuiY8eO6NKlC5o3b45//OMfbshIfCSVPPZb9pbj/UWbUO11Gd4YeVPwCMp+LWVB9mIp01dsx7LNpYaCM/7JI1KrKBF9kWXZ0MrGs9/8HnGsloq946zcug/Tlm3zW4x6Q40Ek020keF58TwLicR8dlk8kaLHflNJuY+SEK+QwRhnVyBPxr2Mit2Ve3L6Ks/kkJ24G/gUFBRgzpw5mD59On766Sc0atQI3bt3x6mnnuqGfMRnUqnd3ZkTvsX+ihps21eBm087wm9xbKGiEBuSdI4zZeXWfbj21YUAgKf+eKx2XJbiTMFaJaL1Hp+72GEovvOc9fR3AID3b+yLnu2b+SxNamDnpZJBSYiGLMXztpVWaK9lmQdl7/ZCEkfmHHtRArvOGrIYwFQkGbbSk1Bn3kAggMGDB2Pw4MEAgL179zopE5EIvV4g96jaX1EDAPj6lx3SK/ZyX0l5kKUnvBlrdpZpr3UFZyRZDGsVJWIDK8uGNhVg8Tz3WLl1HxX7GLF78qTYeEcRweuxY/Vtx7Rpor2WZTxXCUpebhYLg9UnrCJHZBizsXrsZRknKna1qSQT1VfiDsX/+9//jrffflt7P2LECDRv3hxt27bFTz/95KhwxH/0OfY+ChIHqWAF5yQUG/Kq9fo8NRl7v5rJIYloKQFz7N1DluJlqY4M3r9oeC2j1Vjt2rZAOMcraewRx8EhzRr5KAlxGkuPvRThX2Hhqg3jU+Z2d3bLhlyS+kvciv0LL7yAdu3aAQCmT5+O6dOn4/PPP8dZZ52Fv/zlL44LSPxFn2OfGkOnsiYVqsumxrX0G4kd9rqWMbpKspKMk1rFvoUbsSeYAh77PWVV+PTnLSky54WRbL8oNXaPngwb72gdXjxvd2fxdWL0lwzXDdDPK6lgpCGxY3U3ZbjPZo6I0oPV+O9PW1AutF2UZS+jYieNZKL6Styh+Fu3btUU+08//RQjRozA4MGD0aFDB/Tu3dtxAYk8SLIWRiUV5EwFGWUgILFmb2X0kiUUP1hrEooviWypgL54no+C2DDihbn4bccB3DjgcPx1yFF+ixMzsihWqU61BN6/aBtq74vnmSMWYpXFSSFemirZKpWRpLB6xmSoi2GWY3/NqwuwYF0J+h7eXPtMtv2C/biVS1Y/idtj36xZM2zcuBEAMG3aNAwcOBBA6IIHg6nlNSDRsfJKyoys3jURWTYWsiNzUfw0yT32wdpIX5pk67TU1KRAKP5vOw4AAD5butVnSeJD1uspI3Ye8VQwkHiuyFg8W+JaIst1o8feGfZVVOOqKQvw0Y+b/RZFw+puyvDsiftPVZ4F60oAAHN+3x3xmWz0O6J59JMaMHF77IcPH46RI0eiU6dO2L17N8466ywAwJIlS3DEEXIXLCPxI+pVKaOMpoCYks6X0iFz8Tyd0UHS4nnGMUuFKnbE+yjrBkcl1W4rn0NnkEEZjOqxl6R4XiAQQCAQkleW4SxeGjlyr1OT/8xag69/2YGvf9mB83u09VscANbjQrZ2zMYcexFZnBQqqjgBk+pLkonqK3Er9k899RQ6dOiAjRs34vHHH0fjxo0BhEL0b7rpJscFJP6SSn3sVVJBTG5sY0NivV6fs2liAfebUCi+/pgsRodUQLynsg3Xiuogvlu9S3ufavMJH8M4kDzHPhqeF8+zuSZpgQCCJt1C/EKUNRWK/srKgcoav0WIwMoRJsOY1UUY2sgjm61JjV4y2xf6f1XlIW7FPjMzE3fccUfE8dGjRzshD5EMvVMyNYZOKkQWyDC5pwKpkmNfI1jhJXCiAVCVJ6PH3hdRUpKgxB77ez9chvcXb9Lep8CUp0O265mqyODljbYvkMVjDwDpgQCCkEixF8TYV1GDCTN+xQU92qJ98zz/hEpBsjLizip2ncUbSkyPS5FjH2OkiGwee7vpLhX2/V4Rk2L/ySef4KyzzkJmZiY++eQT23OHDRvmiGBEDkTFSoI9REykwvDmxjY25FXr9R57XT62JPc21Mc+8hiJDZnb3YlKPZB6m5pUk9dP7K5UKqwjXsto9mhd3qc9gLAxVpbrZpxXJsxYjSlz1mHJA4N9kig1yUyXb6cw7rNfTI/XSBCKH7vHXo5xoqJKY+bwkUtSf4lJsT///POxbds2FBUV4fzzz7c8LxAIsIBePUMcP/srq/0TJA5k24SbkQoyyoDMOfZ6j73g3ZXk3gZrFZN2d/7IkoqI+y/Zr5vs8hmRYG9bL7DLj/WKaNOd1x5Ks287sWOo2JZaGV8WJ4XZPmDvwdTYZ8lEusT7BCNyeOxjK9ooiwFMRZU7de62P8QUv1JbW4uioiLttdU/KvX1D3EALdu8D6Xl8i86kuhVtsg2YcqKzOv1He/+pL2ukTBsO6TYs3heoojXSvbrlippUiqyGL9SAdn72EfD83Z3JhdMXUcOVoX2qOLc7TXBWgXf/roTuw9USj+vpAoyp+wZkW3M2hkaZJunVWnSApEdkyQT1VfkS0whcmGYMJds3OuPHHGQCgNcAkdLSiDzcr19X6X2WgyvkyV8zTQUXxLZUgEZ0yusSIU5T0T265kqyJFjb4/nHnuTrzOuI/PX7fFEFjM+XrIZl708H7e88WPKRdrISgrp9ZJ47MOvgzZziHTztFoVPxCIiOaUTFJfiUuxr62txcsvv4yhQ4eia9eu6NatG4YNG4ZXX32VOXP1lBSaL1MK6SZMSUkVS7zOYy/JXBjqY8/ieYkijlHZr5vk4kVAT2XsmEVjqDnFsnn/zPC+eJ6Zx16edeSTn7YAAOau2W15bVIhMlImZE7ZMyJHjr0Qip9SHnvrUHzqoGFiVuwVRcGwYcNwzTXXYPPmzejWrRuOOeYYrF+/HldccQUuuOACN+UkPpFC86WGrJvG/JxwSYtU2JDJQKo8f6LnTBajTa2iRGh8so4NGZG5eJ6RVNvUyLZhTDUy0kJbN9m8f2bIUDxPpnVEVEKtrh1b38WHMSxbZmTY++mq4qdUjn3o/0BArjEtGzG3u5syZQq+/fZbfPXVVzjttNN0n3399dc4//zz8eqrr+Kyyy5zXEgiD6kwllJhzyi7oiALqWKJl9Vjz6r4iSPeR9mvm+TiRZBq8vqJ2bXKSJPJY28vg+eKvckxmVYRUQm1MgLLcV9TB5kiMqIhmzHOTp7lW/ahZ/tmOKRZrgdSRScsaQABBJB6sWreELPH/s0338Q999wTodQDwOmnn4677roLr7/+uqPCEf9JxQ2YtIWkdHlNksooGaliiddVxZfE2VKrRI4F2RVUmdDVTZD8sqXafeX8lxzpdaH4MoT1RkMGj71MBmJdC2GLSyND7YRUQqLbGxU7D7kf2OXY/+fbNTjr6e+kiQgTPfZGa50kIkpBzIr9zz//jCFDhlh+ftZZZ+Gnn/yrNErcQQwfTxVkHeCiWLJ4dWUnVSzxsoZtG0WRRQ9YvKEEf33vZ+w+UBn9ZI+5+IR2AFKseJ7fAsSJTGNEdsyuVCqE4udkhmT0eq0ze7ZkWkZEUazGgWzKn+zIZLiJhgxGm1hz7AFgf0WNNIZYMcfe6o7v2FeBO9/7CUs3lXoml2zErNjv2bMHrVq1svy8VatWKCkpcUQoIi+yzJ/b91Vg2MTZeGfBRgDAn99Zon0mxxQUiWj1lF1RkAVZnrdoiIu1LIsgELlxlMXyPvzZOXh74UY88Mlyv0WJQDUmyWqsMUNy8SJINXllQ65QfHMy64wPMsgok+Knz7G3UOwlUP5SiVjSG2RBhvGgr4ofXZ5qSQxNOo+9gUZZ6QCAv77/M95ZuAnnTpztoWRyEbNiHwwGkZFh7b1NT09HTU2NI0IREo2/f/4Lft5Uijvf/xml5dX4YPFm7TNZlBcj9NjHjzzbMXvExVGGhVulvK5vs0qtomDVtv04UCnHXP37jgN+ixCBukkUvWYS3VIAkRsbWec8K2QaI7Jjdm/T6x5SKTz2FsczfKrcbzoWJFpI0oRdt9U+QBZFKlUICDdY9r2VDPdWlCAWeaokCfVTx3YAgYg1sFFmSLFfs6vMa7GkI+Y4a0VRcMUVVyA7O9v088pK+UIqSfLIOkceFBSWyE2ux8LEiCgXDfKxIZOnxQ69EijPA3jj64t17+et2YN3Fm7CYS3z8PWYAf4IJSBjqkVYaZIzCgOInOMkeuRiQqYxkoqkp4DHPiPdH4+9nV5/Uc9D8O6iTZ7KYySWiuQMxY8PcRkJ1iqo0/GkRIoxq/PYR9+MVsui2Nf9HwjojTlAeE3JSJXCTC4Ss2J/+eWXRz2HFfHrP8bB5BfpwuBVDHOOBNOmKfq8JjkmStlJFcVeVo+9kQ17DgIA1uyUw6oty91tU5CDLaUVuLJfB23jLd5H2T3icksXCRX72DEvBhf6XwYF0GpsZPpkfDD7NnUdubxvB7y7aBOKm+R4KpOI+OxbtbXj/iA+xH3Cjn2VOLS5HFXczZAjyib2HHtAjnkG0IfiG/X3T3/eihv6lyIzPeZA9HpLzIr95MmT3ZSDSIqsFebT0qxDr2TdhOvzmvyTI5VIEb0e1SmUj00iadkkpNj3O7wFvv99FwBD8TzJb2mqPXPUW5JDjXSRWQFUK/fLVDxPTQ/w87qJ4lVabARkUP5SCVHJu+O9n/DO9X38EyYKMoxZ3V40BqVdGo+9EIqfbuKZH/rMbHRrW+C1WNJB0wZJSdIMoVcisq6JolipthEn9gQlDtuWGdkMNyFPQKSnUfa8TcnFi0D26yk76riRQQG0ksCv4nl27e7UbgJ+5jmL32zlsZdFkUoVxJSuJRv3+idIDMSiSLuNLsc+hvEpTY593f+BACw982kMxadiT+wxLpKybMTTbSrLyuqxZx/7+JExB9sMGfvYkzgQ5ow0E6VJ2jmljlQzFKaavDIg7lfNjE9+YXUrfSueZ3JMvXQydBMQq7ZbhuJLoPylEuLYsLqmsiCFMS6GdBARWQxN4VD8gDa/GLE43KCgYk/iQpb9mKjwRYTiey1MjIhpDbK3ZJGFVDG+plJrNJmQzW4jeuxrhM2M7Pe0UvLNrBHOf7GjPnoZQjl1mXLsrcjwq92dTfU8VRnwU1GpjkWxlyBcO5WQdxREIoUxTnhdUR0qRG2316qu8V9mQPDYQz8fipiF6Dc0Ys6xJw0T4xopywZXrHwZMVHKIaItDEW1Z96a3Xjm69VYv/ug36LERE2KFM8TURQlZSIi3Ea8Y+rmX9x0S+KwqDekyBCRirQ0AHXNYMIee/8fTMtQfJ899oFAeP+iXi81fNdPr2lVTbijj1WIs8wGGxmRzVBoF+FVLcGYFVEV+/S0AGotnjtpQvHVHPtAeH4xkioFl92Eij2JC1kUezGPxjhPyiFhJPriebJKKQcX/2ee3yLERSrlY6tUBxVkZfi7CMrSZUMlgIDmCRC94LLMewCwqSQ1jF12pMoYkQE10kvcsKoGuVjyY/1CbXfn9dhRvy87Iw0V1aExbBaK75dhU8zvt4ockCFcO5WQ7WrZ3T5FCRki/MwFF4ekqtiHxoK54LLtVwMIzy9GqNgzFJ9EwTicZdng6ornGWSSRUYjLJ6XHDLnOet6nvvsbYl1vyBD3pwsa7D4aGVlhJZF0WMvy7M385cdOPnvM/0WI2lkuZ6phLhh1bzhEnh2re6lqkR7raSq4mQJG39ViRKVAb8K6C1aX6K9ZvE8Z5BM74yqCPttuBG//dOft2LXgUrbfYMsqSG6HHsLgS0i9BsUvAQkLiQZ37o8GuMkKuueUdwAyWYBTQVkvmaibMZF8JOftuC9RZs8k8Uq98yIDJtHSfT6MIGwQlIpYSj+41+s8lsER5B5LMuG2XrWKDMdgP8Kgh1q2LvXYdLqt6kGOiA8z4jhu34oK/sqqnXvWTzPGWQzFEZz3PiuKCvifkXB0H/N1hWkNiLL86he1wCArhZt7eixZyg+iYJxwpTF0ywOXqNMinSBWSH0HnvmOIt8vGQzvli+Df+86Dg0yko3PSeoKNJOWOIGW/QE1QRrcdubPwIABnRuiRaNs12XJT0toOXi2iF79WAvEecM1atXJWHxvFyLsZFqSKyPSodYMEpFnSNlyLG3Itwz3n+PvbrMZmeEx09FdS1ys7yUDCgpq9K9typ6ScNX7Hy5fBse+d9Kv8XQEe2Z99sgZ/z2bfsqkJ9jvbuS5XnUpAgA9w89Gvk5GWjROBtPCAZvFs+jx57EiSwbXFGxTx2Pvf69JHOlFNz+1hJ8tnQbXv5+reU5Eu9hdc+g6AkX00T2leu9NW4R67omRUEcyQxbAQBZJkV5ZNnYpLJiLxqJp6/Y7qMkchOsVbCnTgHcdaDS1BvZrc5b5beCYIdfVfFVI12m6LGvm2fS0wKaJ/9gVY2ncgGR3kSrqKlKGebmFOG61xb5LUIENVHun98pNGZ7ZDuFWIboPkAIxUcABY0y8eC5x+C4dk1159hFHjQUZHWAEUmIzLH3RYwIxLoZqaLYGwnWKrQuGth9oMryM5kLbtXovPTh134UTIz1W/zKMRUJAPh50140bZSFQ5vn+iaHeJ/MivLIsrGxU+xrgrWWBYVkQOLhKxVXTlmAb3/diWtO7oiXZq/F2d2KQx8EgMX3D0JZZQ2+WbUDgBwGJ6v7un1fBQAfnAFmHnvh48y0AKoA7CmrwiHNvJ1zjOu9lXGV0VSpTbS11e/K+GZRrXYKsQzzDBCWWxTVaCzzsyihLMi7CyBSIqPHPhVC8c28LrJcS5mwuyayLC5miDlzVou2V961WB8rGTaPW/aWY9jE73HqE3IUhLMqyiODEQQA8rKsbfFSRGDYIMcVlJ9vf90JAHhpdih66bOl27TPCvOy0K4wVzPgyPJcmrFsSykA76MK1DUky8RjDwBlVaE8pZteX+ypXECkEmI1B8swN5PEiZZD7/dexmyPYJcWKkv3jbDHXjhmWFn2HrR2DjUUqNgTewzj2e8JSUXX7s4gkoz6splMslxLmbArgiNbr1qRGotQfNFQ4Z3HPrbvkcELvWN/pd8iANCPz0yJPfYFuZmWn8muDIhjm06V+BEvWbrWts3/e67ON8cf2lR3vN/hLQD4UDyv7uuyBcXe7HnbVFLukURhjHOz1ZitrImhSAqRlmjF5vwuRmceim99vgzzjIhogzBeywXrStDQoWJP4kIWpVnX7s4w6Ugiog4zmWQOLfcLuz2gzNdLVxXfIhRfOo+9JMqqTAQAbC2tiDgeLWfSK+zurfSKvfBaYhudtIgeNb9ayZmhPpOiJH877xj85czOALyft9VLoq+Kb25J2l/hTd0TFePtsrp/VkX1SHTaNm3ktwhRDTN+j1uzb7erJi9LZJBqHBZlPVhFI5gRKvbEFqOFWZbwcTEfyLgIytb6xAqZPdB+YedtlinE6uMlm3XvRWXe2mPvzWbN6goaQ8xlVwS9RLxmg49pFfF5lSQbG7v5V3ZlIEWm5ZQg7LGX56KK9/eyPh3QpFEousTrQmHqGpIlVMC30lm6jf0SP27wzsMX65rPuTlxOhfn+y0CDlTaK5t+e8DN9shmBm0VWeaZcB/78LE+hzX3RxiJoWJPLFmxZR/e+GGD7pgsA1wMxf9yub7CsiQi6jCbSGW5ljJhd0nOnPCdd4JE4f/eXqJ7r6+KL3jshXM8s3qbfM1NAw7X2k+F5eHm0UggABzesnHEcVmuld2cIXsEhoy1T1IJcTOrVpz32/MHWBtsVOO71x57s3Z3xrlPZOLXv7ktkobVpSjK17dBZSh+4sgwJg5UhDoudG6Vj7O6Fkd8LoOM8SBNxJr2Kjye7dLTGipU7IklZ//rO/y0qVR3TBavixiKM2XOOv8EiRGG4seGXbSFTIYQoyQ1ulD88CKoCOuhnzn2F/Y8RFMGVGTzCvkZaWP87sI8fYNrWRR7u0dItvtpJKLdp0TjOdWQ0mNveJ/uWx/70PeJOfaikn9Rz0N053vZmcYq4ub2gZ3wh+MP0byPldVyj2WZkWFeUVM88nMy8NyfeuKXh4fonju/c+zjRZ5Q/ND/7GhnDxV7EhfShOKnWPUls8smWT0SKUiVa2K8n/qq+KLHXlD4fdxwpAUCEWPGL2XVSoGXYD+m5eKKSgEgz8bGbtMqu2JvxO+WT6mGOHq1HHsJDE7aHGcY16rH3vPieXX/izn24uv+nVvqzrfz5juN1f6poFEm/jniWJzRpQiAPIbEVCRaRXovUDsv5GaHupjkZKbjiYuO1fL/hz4zG5/+vMU3+eLdxntpQKyoto5WUcePccR++X+nIj87smOMDEYeP6BiT+JCFi+zXaEPGTHzospyLWUixW6rRtAyx144x6sce5PHKs2kjVt5dRA/bdzr+SbSaq2VyftoVOxlUZrtDKvSh+IbRJfFWJKKZPjkDbfFMHmn+1TgTx0jTXLCG31xv5BlKP9tjGRyE6tLocqnGiBkH8syI8M6oq71mYY1N1MwIt3yxo+eyiSi7kdbNcmOcmYIr4ywk2avRdcHv8Ds1btMP1fvrHGfeGSrfNww4PCI86WaHz2Eij2JC1nGSarla5p77FPrb/CCVLV16EPxxar45sfdxOxbAoHIKJfHp63Cef/+Ho/+b6UncqlYeVRkiAZSNwzZQuEtwP9iRyp2xkBZjA9WGOfsasnl9QO7dBR9VfzQ1k0GJUYV+cLj2+Kwlnm4/YxOAPQKtJfGQ1WeprlZOKtrMfoc1hzFTXK0z7MMRjsvPfZWpU1VCdRWm1U1/t/XVEUGZU41WhqfLVkiTdUx8uSI4/DspcdHPd+rApgPf7oCNbUKbpy6yPwEzWMfeR2NxnhAjvnRDyJjFwixQZaK85KIkRCBQEj+hjrp1Ef0xfOEHHvhHO/a3UV+T1paIKI/u1oFd8qcdRg77BhPZAOsn3s/x4Pxkhk3/zJsFoEUb3cX4bGXW14/iHUM+OUNt6NZXha+HjNAe5+dGR5DFdXBiPnHLdRLkhYI4Lk/9Yz4PEKx9zTH3vy4eq1UYwjHRuLIsK9SZTBGg3gZHWKHeoXSAgG0zI/uta/2+JpaGbCtPPZAKJ3FSMiJkB55cj1HjqeMpAwyTJqAPAaGWBHFzZSoorFspFokhooYqmbV7s6rzZqpxx7yeAssFXsJxrR6hYzWf1nmvVRud2fE681iKmCXniAqoKonUIbnUttsG7xo4hjy9tkMSWQ13RnHdoZHBgfAevyqEUKZaih+io1lmZBhTKhrvdFjL0uqobp/DgTMPd1GZIlY04rnmXzWqVVkm0MZngU/oGJP4kKWcSKBDhAXosKaqeVHyjFZpgp5WfJaXsXnsVYR0iyE415t1mLNsfcLcbEVNzp+pqYYDUqyeuztNiqyzydGyRmKH4ldbrXo8VaNdDJ7dgOBgKY02BXEchp1GFgpUVnp+nXEU4+9xe3Kocc+IczmQxmUOSuPfUASzT5sjItc68zwuoq/1fep67TZdczJjPw7ZFm3vYaKPYkLWTzlckgROzqPfd1EmmotT7zANtQ4hTY7qgdfXFf8rYovj8fe6jrIsCFTXQHGzc6Bihp8+OMm7Cmr8kGoMHbjQ/b5xLh2UHmJxO6aiN6/DJna3aleNJPpJSczpERXeNi+zW7zD0SObRna3ake+6yMkCyLN5R4JlMqYzYfq+vLl8u34bcdB3SfLVi3BzN/2eG6XDWaYm/w2Lv+zTEiPIbGejJmeL13sdrr2a1/xqKYgCTzow8wx57EhSwDRYZCW/EgSptJq3xCVAcV1NYqSJNEQbWjOqggO0PvCfbiflsZ3gKBgKchp3aIc4gorp+h+MavNoYnzl2zG3PX7EaX1k3w+e2neCiZHrv5V/b5xCh5KhnqvMJWsRdD8SVK57JLn1LHUWl5tVfiaMZUS4+9jzn2VlOcagDZXFIOQJ7ISNkx7TZUq2Demt247rVQAbZ1j50DIBQxN+KFuVAU4Nu/nIZDm+e6JleNRfE8SVLshVz1QIweeznmarsc++zMSAOFDPOjH0jymJFUQZZxEk0HkCWywIxMiQofPT7tF9zx7k9SXy+RVOl9rS6E4i32s71XIODtBtYOq+dehkdQzRPOsvBirNy6z0txIrAzaMown9jBdnfRqbaphi6G9cqUY69iNruoCv2GPWWeyaE+Z1YtcY2KjJfzjtX4VcOIWwnV+2U31MmA2fNfU1uLZZtLI44frKrR7vWaXQciPncSNS3KuObu2u9vxJeRQMDc021ElrXFbmyb/R0NtfMUFXsCANh9oBL7K6Jb1eUpomE/YGXbNIryqqH4Mizcz37zO95btAmrtu/3W5SYkKWoULRUOfX5E++7Nx578+NpgYA0ofhWi62vVfEN72PZ7PiBrWIvwXxixZ6yKhyorNEdk2H+kw27KIZ1u8PKsVYV34drqCgKNu45qM1tdktx64Ic6w9dQisMZvG5cWx7qbRYK/YhQ+KAzkXasYOV3tUlSFXM0o9qa83TK8S9Q3mVu9dWC8U3PGttmzXSXh9a6F7EQDTEMZJtkptuvH6ypHlpaTYmn5n9HbIYJLxGzt0L8ZTyqiB6PjID3cZ+mTIKczQpKmvkWhTNQvH9nixFBUsWhVkBTK3tKrLIaeUNUlGVFnE4eVEszOqJSpPIY2+FDN5HrY+9ySZBBoyXqJEQfijL3GykrLIGxz88Hf0e+1p3nIp9JHYFEE/p1FJ77WeO/VMzVuOUx2fi+VlrdMfNpsTDWjYGYB+J4DTqN8XqsffyObS6XXlZoazYTCF0O1Wi0/zEymNvdu/Fzgz7DUZGp1ENbsY1t1gwdBnD9L1EDGk3M2Ib5ZZFQdaq4puF4pv2sW+YY0jO3QvxlB37K7TXew/ae+1lqbwcLXzuoMsW2XjRFc9TFXufr6WY0yxDGDQQkuOjHzdbfi6L8pIeRbGv0Tz24WOfLdvmpkh132edYy+Nx95CRj/rZhivW6p47OfdfQYu6NEWgByGETNET7OILGNZJuwU4Bkrt2uvtar4Ptzzf321GgDw92m/ALA3sqvjyMt6CmIrLzOMCoCXBnaz+TkQCIfiBwIBVsaPAzOFM1irmLY6FBX7AxUuK/aax14viKgw+9oFRvvqQEzt7t5fvEmKdM3w2I4tFF8Wg4TXyLl7IZ4ihgtVRPF0++1lVommBMim2Iu7n6x0tVWRv9dSV8TMRzmM2BV5k8ZjH2XmDFfFD1/ZlVv3YcaK7VY/kjCKouDeD5fi6RmrbT32mZIoq1ZrrQyKqVUfe1kwXqOsjDRtsyirh8/Y31xFlrEsE7EqwGq+vQxjJkzkffajL3u4eJ6Fxz5dLo99bma6TlZVGfQyyiFVMffYmxfYFZ/BvQfdzXVX98npho2C6BCoDiq476OlePDjZa7KYka4c4TemGTHF8ud37vEi10fe7NCgA11jZFz90I8RbTE1ZjkBov4rYyqRJNCNmu3vo+9HKH4ojVTBmusil3IeFVQDoNNNI+9FopvOH7Nqwsdl2XNrjK8/sMGPDXjV8uFLBAI6MI8/cTqWfPVY294b1cpeLWP9SiMlyg9LdztwO/5xAqrqul+z9Fj3vkJ5/zrO6k2f7Fek3QhFN/vudvu+zM1I7aX7e5CWM12RqXPy6gHszmuUZa+OVWmD1EOqYpZ1GPIYx/QvQegq/GxY3+lJ3JlGp418dnbvLccU+dtwCtz12Ony/IYMSrIsRiyf9nmX+HYqppaDH3mO7w0e23ogFU0jsFAUdZA61RQsSe6zaKq7Fmt1X5vxlSM8h3WIg9HFedr72XarAGShuILioAsKoECxTZkvFKS+xqt5Z6qZHmhrIpfYbVBSA2PvbdymKF6zuw2Ovd+5L2HRcXooUpPCxtsSlz2QiWK1RDwe45+f/EmLN+yD9//tstXOURiXV9FI50sXnu7vFdvveKh6xFr5pEXtU9UzNaDvGx9Bw62w40ds2d/f0UNZq8Oj2l1nhnxwlztWEW1y8XzVI+9wZhu5RDw2ogTzlVXu8AYivw1bWT8EV9r9Hz/2y4s2xw2LFhFgRlr4xgLtjYU5NjpEV8RFxu12ITVVsFvZVQlIic2Iw2f3XYK2tQVJ5FtUdQVz9M2O3577MPXyG+vj4jdAvLbDnfb1MRKtHx1s+J5biEqSIs3lJiek54WW79abzC/KL4qKIavtrtWfs4tRsUgPS28xbErOuknVvdVFo+kUY4ZK7bjwx83+SJLvB57wNs80p837Y04Zuch17zPXhpxooTiG/E0msDkVuXn6D32WT5EOaQqVs/+/5Zu1V6bPXsV1e5eW1WuTEMovpVDwEvjkoiVx37c8G4R5+YaIku8pKxKr6Bbtc/MNrSpPVAZvdNXfUSWnR7xEbNe21aeRr+VURWjFGmBANLSAlrbGNmKZoiKs7pw+92eStxw/+Xdn6Xx/Nh5w/328qlED8W3T2lxErEuhto32kh6jHl0XmD1mPkZiq+i3lZZrpUR9RIdWpiLf13SAwDQuE4xWLCuBLe/9SMOVsnlpbBSUGQZy8Z575pXF+L/3v4Jm0oOei6L3fr6xIXdtddiT3sv5+1F68OGw+K6nut2wzYcVu59uHvMHnufQ/EbZxtC8SVqhwsAC9ftwY1TF2HL3nK/RYkglvQjMwNiudse+1o1x966eJ7+fK899voCk6Ih+41repu24vM6lU8sLrhwnd5h8ctW83Q4o0G+pIyKPWmgKDqPvb1i77cyqmKsKKoWnNHC2CTZNKqI0qqbMj8qGouIxo81u8rwxXL3q7ZHRTH3hquRGPtdrmYbK9G8QTUWOfaA88p+peB9KCkzD8eWyWNvNbdI1cfeYPmXBbWTxT1nd8GwY9sAAI5pU6B9/vGSLXjB0IbMT75ZtQMXPj/X9DNZFPvt+yow8MlZeH7W77p1xeu8V8BemWsnbLbTDbm6fpCbpR8jppWqfSiep00vNnP02d2Ktdde7hXMpr7G2Zm69+FQfP8NnQBw4fNz8fmybbj5jcV+ixJBLAqxmWLvfih+XY69MRTfQrGv8rhQYjjKJjIUPy0tYJq253UapHjfpsxZp/vMag9hjDxwu5aCrMix0yO+Iu6no+fYy7HYGKVQJ0xVwZclzFNFvJ4ZEnrsATnykRSYh3Q2zc0CII9iH82hW20zjpx+NkWP/R6LPOtQ8Tw5pnuruSUog8e+7n+7HHs/SxCqGxpxg5hjyCtUPWs1wVrMW7Pb9U2sFVU1tbhi8gLLz2XxSD791Wr8tuMAHvv8F11nAauor2oXr6udB1Icv6Ln74kvVjkuhxXi5l7Vm+1GrR/54rF47J+48FhcfXJHAP7IJtIkx7x4nizjQ2X5Fv+Kp1kRizHYPBTfK4+9oSq+VSi+z/daDGFPTwugUVakYdvrPXWlTbqE1V7B6Lzwa+3zGzl2esRX9FXx7XOD/Z6AVIzyqRsd2azdRgIBOaviA96HWsVD09yQV2N/hRyhVWnRQvFrItvdqTht+a4UFi+70DPZPfb+9vWNrNkhI+o1EveHxrxCdVw/Of1XXPyfeRj91hKvxNOxfIt9zr8sHvsywaApzslWa90TX6zCxf+ZhzHv/OS4LHYpZOL8LKYrlXlokBVTVIzD2GxGzPbDY6/JYz1H52VnoM9hzQF4GzlnNvUV5Bo99nLm2Mu4O4gl5dLsOrqdY68qlEajq5Vi730ofuh/s1D8tEAAeYJi37N9MwDuj2HjGlwpdEDq0rqJ7jOry2U0yJfL1vbaI+TcvRBPMfXYW9jhZcldNyoHqqKVJam1W7yesvSdNlq7M6I1Z3cJ44RupjOHFXs5PPbR8sHVhdrsNDtLdCKIhoI9FqH4gDxV8S099hLMLWYbnchz/NviqpdIVOyMmxl1jp5U1xpomk8pNn9572fbz2WJqhKNwDUWr0Ve/C6U6iAW6HIKO+OW1fzspWLfsUWe9lrzhtnMhVk+tG5TYvDYA0Iuu89V8Zs2ytK9Dxcc9H8+FPFx2rMklrQ2U499jbsK38E6hdJYcM7qEnofiq//PnENSU8LIBAI4G/nHYMb+h+Obm0L6mR0d5wYpz7x+8SOV4D1fTcaud2upSArvu70vv32W5x77rlo06YNAoEAPvroI93niqJg7NixaNOmDRo1aoQBAwZg+fLlunMqKytx6623okWLFsjLy8OwYcOwaZO+om1JSQlGjRqFgoICFBQUYNSoUdi7d6/Lf13qUKtEbmas9heyKMzGga3l2GfIZ+0uLa8OV+oFpOk7bVSk/PLYG+foZrlZEefk1S2Qu20UVy+J9njZFaF0PBRf9NjbtDyzU1a97Ipg9VUSFcWPqa+vHwQ1j72o2Bs89nXPl98FAKN1sJBFsRfRh+KbyxctWicZ7NJRsjLMv7ezYdPrJqJhv8Kw0Te7LH7m2Ee7TX54xs3muIJGxlB8+fYwgH0EhF/E4hsxLZ7nsidXNbYZWxlaKZpe32t7j33o/8v6dMBdZx3lWdSNcb4VHRbG62O1VzDucajY+0BZWRmOPfZYTJw40fTzxx9/HE8++SQmTpyIBQsWoLi4GIMGDcL+/eGKiKNHj8aHH36It956C7Nnz8aBAwcwdOhQBIUwjpEjR2LJkiWYNm0apk2bhiVLlmDUqFGu/32pgr6PvXkIsTrY/VZGVYwbIDWXKb+uEI1VETGv+fDHTTj2oS/x8P9WAlBzneXIsTdOpMZ8MK8QnzVFUbT8rsK8sIKfV1c5eMbK7VLkTVl57LMsKhoXN8nR2hpVOiy/GFZo57HPsjHceBmJYxmKL0GOPUyKCRlZtL7Et+gCs/xhY+9e1aiUIXFqDSBPKL6IuL5Zheu62c7ZbhwaPfYnHVYIAHhnoXet+cTnXp2HY8mx99KIo46RaIqoKtuuA5VYtc28yrbTmM1xkaH4ckYdykgsa4YfOfYHNMVeb7S5rE970/O9DsVXh7GaGpBtCMUX0YxzLj+PxjV1hVDTwfhZrMXzZNgr+oGviv1ZZ52FRx55BMOHD4/4TFEUTJgwAffeey+GDx+Orl274pVXXsHBgwfxxhtvAABKS0sxadIk/POf/8TAgQPRo0cPTJ06FUuXLsWMGTMAACtXrsS0adPw0ksvoU+fPujTpw9efPFFfPrpp1i1yruiMzIjhiXVaG269Oeoi83cNbul6Hlu3P9k1k1QhY1DyuA+SUK2X5u7HgDw35+2AKjz2EtSFT/WydJtjJdBFaNTUWPtmBhN8NPGvR5IZY967T65pR+Gdm+tHW+ktls0eOzTAmHPqtM59mL17kQ99l4qWZYdN3zNsde/N3rBjTz4yTIXpbFGlTNd57E3huKH7mWGJKkXVsio2It92q28em56Lu1C8dVWripiWpJXhibxe4zzmDQeext5RNQ9TcnBapw54duoNSGcQN07HdeuKU7sWIh2hY1wUl2uv4qs6YRShuLHcE5VTW3EntXtHHvVY59vUOyPKMrHTw8OxjFt9Dnjnofia/sS1ZCtL54noqXTuO6x11+Dtxds1F4ba2ZZTXeiMwhgjr10rF27Ftu2bcPgwYO1Y9nZ2ejfvz/mzJkDAFi0aBGqq6t157Rp0wZdu3bVzpk7dy4KCgrQu3dv7ZyTTjoJBQUF2jlmVFZWYt++fbp/9ZG3F2zA8GfD1yFcFd9QTErYJM7+bZc3wtlg1e5O3eRWupxDFSvGAIdQ8TxZPPZ64fyKxtB57BFerEXLcVF+jnC+R4LZoD5/+TmZaNE4WzuuKvbVhhz7QCDgWkibGG5mVzTSTiGprKnF7NW7PIl0sZIw6HPNCSC8eRVDKMX+4SpT523wSiQdaqRSwDYUP3ROppuuZQeQTXEBgOteW6S9tgrjdFPBsVPQjYW4xJoZXoWcipFywVoFk79fi583WSvE/obiR/PY6z//ZtVOt0TSUG9vVkYa3rm+D76783S0LmikO0c14LitfMaLjLNJLE6m6mBtZP52sNZVY5iVxx4AChplon1zfZ94r+dCY+SXMcdexKsxbNx/DuxSpL027g1OP6ql6e8Q92IAQ/GlY9u2UMGfVq1a6Y63atVK+2zbtm3IyspCs2bNbM8pKiqCkaKiIu0cM8aPH6/l5BcUFKBdu3ZJ/T2y8tf3l+reh0Px9eflCFUy1+wsc12uaEQUfqvb5GheUUkWRWP4cwABzQjhd+V+4zX0OhzMCs2anAZMvuIEPH5hd1xwfFvtcxnkVDe46QF9f3g1jcBYFT8QEI1Ozsofa6SF3XlvLdiAP036AVdMsW5P5hRWmzE/x4OxmNAhzcIbr22lFfj01pO9FsmUWNrdqZtEeuytiUUhsArjdDXH3kbZMBpwRMX0oEcF9Iwb7If+u0J7bWY49KN4Xizt7oBw3RYVL6IeYpFNVewPSuZt9LNoqBWx3LKqmlqL7jTuXN+9B6u0tcxMsQeAtk31xhy/QvHNUs+sQvErXR7Dxmsg1vAwOqHuPquL6e8wGiWo2EuKcTJRFCXqBGM8x+z8aL/n7rvvRmlpqfZv48aNlufWJ4IWHvviJmGPaUEjfU6YHxgndLXSfJZBeaqoDmKfjy3SIiqRB8Kh+H4rqEYLqQwe+1pFnyN52lFFGNGrHVo0zsbhLUMVmWUw2mhFzNL0G2x1UxbuLhEiEBCfTWcXG7Pw3dysdDxxYXcMOroVXrysFwB7Re/xaaG0JC/SHGQuzKneycbChmxfRTW6ti3AfeeYbya8JJ52d17n2AdrFazatj/mVC0/i+fFohBYhXG6GQhhXzzPvPsB4J0SGO8akeVjMdtoemhTQ267N4p96H8741BunXFYNqVExgCgmHLsLbzzboVpv/TdWu11kxxzxV40HANAtceh+EYDkxiR65fH3niPDlSYtyEFgNxs81S5vQf1e/0KyYxjXiGtYl9cXAwAEV71HTt2aF784uJiVFVVoaSkxPac7du3R/z+nTt3RkQDiGRnZ6NJkya6f/WRk49ooXtfbVEVX2xzk5tln3/qBcYJ3VgERJ2ETnh0BrqP/dK3/ufFBTm69wGIofhyeez9KwgWfv3fn7bg/94O9Yc27n2a14VZud2qJhZEz2lWeng8NMpU8yP1BrIAwqH4ThsmzG7bwaogLurVDi9e1guDjg7Nc6Ji4GfFdKu9mJ/jwW5/qIbKytDb3qzdXYTC51NV/Ps+WoozJ3yLZ7/5Paa5xM92XrEYH6wUKy889hkmWpRxwy2Ganul2NsqUmY59nVzox81PKLdp/wcvWLvRY0ZY26zGWrUV3mVHHWCVPZV1OhqUMhArB57s1tr7OrgFEVNwuHgVs7DQ5rpPfZeGznV66E+h2IBVmMEmGc59ob1/4AQhRRR6Nniul560qG697IZx7zC/52KBR07dkRxcTGmT5+uHauqqsKsWbPQt29fAEDPnj2RmZmpO2fr1q1YtmyZdk6fPn1QWlqK+fPna+f88MMPKC0t1c5pyBi970EtN9gQ6p4WQM/2zerO8T/J2bgIq2GAxhx7tcDQyq3eVL0FgB37KvDnt5dg8YaSiITiQCDsOfW73ZNxsqz2KYIg1g2VTLmH6hhIDwS0FotAWEbVQxVeQMOeVafvu52XTyRbUPT8VFKt7rff4wHQb8TevaEPbhxwuLZZiIi+8QGzdndGhc+vqvhvzg9FtU2Y8SsOxqCUyO6xt0yZ8SDH3iqEV+QPQnrSd6vdzw8H7Atcml0WP3PsoxERtuuBcURMzbJCrdMio1Jy+1tL/BZBR0x97IP6UHz1mXTrfqt70NOPikwBVmnVRO/wiWW+dBKj8StT6LhhjADzzWOvU+zNHXlGDm/ZWPdexjHkBb7uVA4cOIAlS5ZgyZIlAEIF85YsWYINGzYgEAhg9OjRGDduHD788EMsW7YMV1xxBXJzczFy5EgAQEFBAa6++mqMGTMGX331FX788Uf86U9/Qrdu3TBw4EAAQJcuXTBkyBBce+21mDdvHubNm4drr70WQ4cORefOnf3606XBWFFZ8zSanKsOpa9/2eGuUDFgnATUHNnsTPPK416Gvd/1wVJ88ONmDH92ToTSFUBA88bI5rH3Sx6rtdlo7c6RpDCioig6z6noGQ1XxdfXqggEAppV3Gn5Yw19PrNrMZrlZmLQ0a2kVOxl89if0KEQfx1ylLbRMSr2Xyy3rtHiFoohhFLlkhPDNWDC0ST+3GNFiW3TXOXjODbWVDDDapx64bGPJd3tir4dtNfjP//FLZF02FXtN8OYGucFsXrsAaD/keEiXF6k7KnbkFhC8b3Osd++rwLb91XojhnXll0HKiETsSx9VTW1un2Yen3daoWm2iutlE9An+oFALsPeNue2c7AZNQJtChY13PszUPxdx2ojIhytEuj7nFoU+11RXVt3HNWfcBXxX7hwoXo0aMHevToAQD485//jB49euCBBx4AANx5550YPXo0brrpJvTq1QubN2/Gl19+ifz8fO13PPXUUzj//PMxYsQI9OvXD7m5ufjvf/+LdCE89vXXX0e3bt0wePBgDB48GN27d8drr73m7R8rKdmGFjrqxiJi8x0AFq4PpTy8u8i7vrlWGMVT36teyUpDixMvowzW7Dxg+72qguB7jr0kofhWiqlx6s6WxGMvXiZj8TzV06a2MlSEBdStUPxY71tBo0z8cM9A/GdUT19D8a10Kply7M0wVtGe/P1aizPdwzpHN/xeHdfGwp1eUVOr4KbXF0c9z9diibF47H3oY6+uu8b8bzP8KI5o67E32WyrY8bL6IxwVfzo517aOxy6u6/cfa9pTB57lxVPM6qDteg97iv0HveVzqBlHKOytQ+LJdqvOlgLRXj81KKJbjkI1KhXq3BxIDJHfM0ubwtSG1O6REOnUbH3y2NfVlWDRetL0OuRGVixNfauZG9ddxJeuepE7b2XRkVZiB7v5SIDBgyw9TYFAgGMHTsWY8eOtTwnJycHzzzzDJ555hnLcwoLCzF16tRkRG0w1GiKvf64m717E8E4CahKgegVFU/xyxtolDMUii9nVXwZcuxFjBto1WPv5YbHDPE6paXpR0Z+XbEcVSnQPPZwz3sVz55ZlUFMHzASS4HSZJC5eJ4dRmOIH1XdgxbeSHGsqB6KDJ889kDYCGyHv1Xxo59jNU7d9NjXWHjsJ19xgun5V/TtgClz1uGc7q1dk0kk3jVCVRK8HNvG/GE7Bh9TjEt7H4rXf9jgicdevXq2OfY+VMUXv2vvwWq0aqJGPuplsDPs+EEiVfG14oRV7jyTWpqejQXQ2JFhW2mFxZkuIaQIGjEaDL2qk2F0dO2vqMGIF+bG/XuyM9J1tcPKq4Oasayh4H/SIPEVo2GlRssNlmsCN2IMcdcUe8G6KG5C/FqQIhR7hPOZpOtjL5vH3hiKb5Fm4TXiJiE9LaBzQKsF/tRijaolPC0QCOfYOyx/ImPVzmPvtsHJMhS/VkGZR227rLDTBYwbNT+eQ0Ux3zSKioI6N4o59n7PNWb4achJJhTfVaNX3RzcRFDsH7+wO06zyNc9uk2oqK9X7e7snnmzOUVVCozVqt1Evbex3qWBdcVFvZDRKpVGpJEPofjifCLuA4we+t4dCz2TKRZiqopvodi7Fopf91V2in0jQ6Ss152bjOkqdpcxy6NQ/AiPfWVNws6m9LRwseKGmGdPxb6BY5wYtTZdRo+9XA77CGVGVUZU5WnBuhLd3+blxlbc+Bmvb1pauI+939ZvY09i43uvsLoMxkdO2/B4rPwtWr8Hf35nCXbuD+UXivctIy2gGystG2cBCBdtVPUHfR97ZxeaWIvniWRlWFuw3a5hYCXt3N9345gHv8Ajn66wOMM9YjGOHDA8d35EuISL5+mPi+/VaBGxJoBbFaCjkWfjKfHTY59M8TxX293VCdZUUOztckTVXF3js+kWtoq9Sd0O8dimkoOuyGRErGsSC+q1Li33IMc+BtlUxXP7vgrP5hhd2qJg2N2xX59TL0NHJBHjvP2XMyPrZlUFFW2NDATCDgK3FD4tFN9mokgzfLZ+90FPnWnGlBC7b/YqFD8ix76yBke2amxxdnRUw7HfzgI/oGLfwDHquwvX7cH2fRUxV5b1C+OCp1oerTYSsnjs0wIBLdTJ79DjiD720nns9e+b54WU5j1l3haa+cNzc/HB4s24/6NlAPRGopBiH5Zf9bSpFngxJzrbpVB8s9v2h+MPsf0ZOyOOG57oPWVVmsHAyssy69dQZe+XZnufu65il3J0RJF+k+GHYm/W7g7QKwrqdRY3lpUuey027DZX2uyKwK3ZVeZbJEEsm2grj56bRm51DhZbsdl5FvM0xd4br5Td5t6YmwsALeoMnQCwaps3nWkUg9ISjaa5IRn3eaLYR/fYq4rn+t0Hcfg9n3maIgDou+PsNqy1fkfLGVGHcd/Dm2Px/YN0z5uK2O4uPRAQuuv4VzzPjGe/+d0Facwx1mqx9dinu7NvMRLR7q6iJqkCsOrfKEOxb6+hYt/AMW5wZq7aid7jvsKXK/QVnyVz2EcoM53qLHviYv77znBBEr/yx41RzWkBIFOSqvhmVUiNVXG9wPrW6J+63LpNrNfVglXW7Q49T2KoenpaQKdkNcnRK/ZiyK9blm8zj94ZXaxb7QD6sWHE6QV8y95yHP/wdFzyn3kA5EzziUWi7oc0xdMXH6e9X73jgOfGuVrNY28diq/eP/Eyu70p+10oGCpSkBu50RZ5a8FGN8SJSnIeezfrT4QEEws12kVbNK4rwuWVV8oumsfMY5+RnoaOLfIAxK/oJEoseewiTerqouxPIvQ3VqyLX4Yx5l+P/2ylmyIBgK64nHgNSiRX7FVRG2dnoDAvy9QwWxUM6kLP1TB4t6KYtK4kcc4TT3yxyg1xIhDXX02xt1kB1XHtdkcENcdeLRx6oKomKcOv2n1qv8dpDjJAxb6BY+U9e+R/7i8myaDKfUGPtriqX0fcfkYnAPqcsGdn/qa99s9jr5+YdB57n0Pxjdfkpdlr0XvcV56FTKpYLSrGfaBboeyx8kudx0ldgDLTAwgEAijMCysvTRqFNmVqhWW9x96dGgFmYzjaHrpTkXWIm9OejM+WbgUALN6wF0BshcvO//f3mOJD1floe7Hzjmure/+3/3qbNmDl8RPfV1QH61oyKrpjbmJ13ZpGadvmlRc3glgUe8uq+O4XzxOVYLt71zi7bhPskWJvZ5S0qtuhRlp5VfRULFgaC2JhLdfTkGJoxZdnaIW2ZGOpqzIB+jVYVOzV9AQ1BN/vVrNGjLnix7Zrqn2mhuVX1dRq80woFL+uCK9LDgItXcojQ1a8iNs+VcRDmuVani9G4kydt94tsSLSkBQlcl67tPeheP5PPWP6fdeeehgA/xxBfkLFvoET64ZAthx7dUIf0LklHjj3aC28qm2zRto5P20KL4h+5Y9HhOKLOfY+h+IHLb7/y+XbPZXDMsfeWBVfknZ3aqSFWnX8zGOKMfjoVrhzSGcthFYrnmfW7s7pHHuTCxhN+Rh8TLHlZ063NBJzvUMKZ/SfWbJxL8Z6qDTHE0Rw6+lHaK9fc3GjY4aVx0/cRNYqIQVRNNz95b2fXZXLyhsbrR+7X+tKMsXz3ESNyBC9fZk2hS7z6jz2subYA2HF2bMiVqqyF+PuNkeoN+L22qLeX7vnPs/QCq3Kg+dQnP/E9USNSFIj0Zxu1ZosiuFedy7Ox/s39sXcu0/XDE2f/LQFV0xeACA0T7kdiq/OuxlxKvZHt27ihjgRiAZfNYXr4hPa4ap+HTH5ysjuGzlCoT83owrU69Y4J0NbT0oO6iNGHr2gG4Z0td67iKgGxd0HvE3dlAEq9g2cGStTM/8kaBGSelSx+eToV2s5oz0hFIqvVsX3z2NfUlZlqTjtPejtRGhVHMoYVue3x15F3eyoBprM9DT857JeuGnAEUIofg0URdH1VM5yqY99WNkLH4um2NsVQXJ6Ay5WAD5YFYwpz1RmvAopNkNrdxeRY68/r7KmVjeuFsXQfi4ZrJ63aP3YZWuxKbL3YLVp2oibXQRFb98DQ4/G8Yc2xag+7S3Pz60L2zZ2gXEL1WPfoq77h4iVYq8VK3OpvZiRsMc+tnGalhbQlEC3owpiCsU3eOy9iDbUFRrWKfZhZQuQNxRfvNc92zdD64JGWutj0ViTJuTYu2VoqjWJuokFcfz+tuMArpg8H4s3OD9v6xX70P+Z6Wl44NyjcVrnyBQ+MSLRzZSfoOAwKdSifBJ/3gp9qskkA1TsSUwYF0m7Sr1eoH692eR511lHAQBO7BBuzeJXoTpjxfJQKH5dH3ufoggA4OH/WXtD93is2Ft5S6089n5vLtSNj5knTVVig7UKqoOKod1dnWLv8LOoLtSiAh1tU9G5Vb7lZ057/zIzwrLsr6jR7ndOpjwVlmPx4KrYeVDdRrHI3zS2T6qsDnqqNFvpKQVRFHvfPPbCpPPdnaeZnrO7rAq7TLw98ebOxkNQ8PZddXJHfHBTP81YaIZ4370IdVcV+5b5kYq98Rk0Ht+89yBGTfoBHy/Z7J6AENrdxXGbwkqg24p9dKNmvkGxL/OgMKI4U4iRhOq+STU2+G1UN2JXKDHHpPOLWBXfreiMYAzpFgBweMtQ7YlD6qJMxXV39Ns/4ptVOzH82TmOyyfut2JJKxL3Em2aNrI5MznESIfmefa1WWKhWd3vMHr9GwJU7EnMiPlLfrdqCxeRivysWd1m8mB1eKL0q7WS8TqlBQJaYSQ/PfYfLLbeXJWWe9sexEqpMq45qmLsVa6mFZrH3uThUzeIAHDmhG81j0cAQLZqmHDcY1+n2AtFl6Kt1wM6t8R953QxNQAcdHgjKUbL7K8Ie0FlUuxVYlEGfPXYW8x7Q7u31r2vqKlNqA1iolhtEK2U0kMLQzmd2TZtF91EnJbbFVrnl5oVXnKzj716z2J9xsT8Vy9C3VXFzkyxN3qaVVTF/t8zf8d3q3fh9reWuCYfEI6Si+c+eZXmpQ5JO4UqEAjgpwcHa++9KIwoenGrgrXac6+udfnZcnvsza6nuBarhELx6/YRLhkpNONcuv3z95/LeuG2Mzph4sjjAegV+x373CtUJ97rWJeyC3uGuuwc08a9dIGgEOlgNr+ce2ybuH5fYV3hVmMByIYAFXsSMxMv6aG99iuEUvt+G6uoukiLRTO8VOxFiYyRDYFAODfbrxz7f3212vbz//60xZOevipWz5IxSkQaj33Q2mMvbrTX7ioTivYEXM+xb5QV/u5oikEgEMA1pxyGUzq1iPjM6Y2keH/3VdRomzErD58fxKMDx5s76SRW7e6OKMrHnLvCeaVee+ytFJX8nAy0LsiJOD6iV2ijuLW03FW5rDB6dfNzzJVSs+gVN6MMrFLMrEgTFBWna2OYUVW3ZrU0hOKb3WMVMWLHC9SnPp5vdVvZUwn3D7eXronwPHpSm0CYKh7+dCW6jf0Si9aXaPe7sarYS5ZjbxcBYWY01FXFd7t4XlSPfWP8edCRKG4SGjsHKms0o3e0FKZk0BfPi22U9O4Yin51sxCdWpQ4Iz2AZoZuKuMu6IYnLuwe1+9Tf0fJQVbFJ8SU8uqgzop26UvzfG1bZWupzVBz+gTF3q9QfNM+9iGZt5R631pOURQ8Of3XqOc99rl3XRFiLZ4X9tj7HYqvz7EXMW7YVI+HLsfepar4oqIc64JtpqQerHJWsRcNWPsqqjWlqthGGfCLWPJy/QrFF42EZve3TdNGWh/n7fsqdXOPleLqFFaPW7vCXLxzfR98MfpUnfKnKgqfLd3mehslM7TaF3Xvp/9ff9xdl8IlcqAiciy4WRU/Vm+fSCOXc4ZFtBz7fP3Ge0DnlpY/s2LLPldlMhJL5Xkjbit7Kmb1UMxwMyrEDHEJXrk1dL/+9ukKzYgdzrEPStWu1C4CIsvEoJQmhuK77LGPdZlQr22wVtH2Bk0bJR+KboVZjn001Foebs4x4euWFhH9c0KHZnFH+DXLCxlHyquDvkd5eg0VexITG/Yc1G1oF2/Yi6k/bPBNHrsCJWoIluh59CsU39iKLC2gbws0f+0eT+WJVan0cjNmtVEwbm7kKZ5nX/VWPKyeK7a7c76Pfej/RBR7Mw46vAiKofgHK4Pa5jYrPQ2L7huIPw860tHvS4R4tqrGOcer+h2xhFCqOZAlB6t057sd5WImz58HHYkBR7ZEu8JcdC7O123MxI3bVyu97cIBRCoExQU56Ht4ZPSKmcfezYiNeD32gLDp9sBjrz5HYorFbacfgQeGHmP5MxefeGjEMTfHjFiwNFbcVvZUjO3ZYsEsLNlpzFqm7thXod0n1RCndtyQhVqjhU5g457IaKCA4LF3a7yICmos5Arz4v46Q2K02iTJoAhDL9bnUI0GdHOOEXPsGxs6QySS/tY4O0NLe21oefZU7AmA6JuVX7fvj9i8vfjtGhclsseuV6haNEW0LvoVvv2LoU9zWiCAXGFTu3GPtz3j95nkjJpNml56DKxygY0SaG2TqoK+tgq0C8UH9IulqsQHIBomnJU9qOXYi4p9rD8deaLTi7foOa6pDVdrT0sDmjfOti3I47V3KJbHPtPgTX3DIwOnLoTS4garCvPHSzbjZ6HdZ1VNravX0jhfHH9oU9x2RifdcTFNpbEwB/oRgWNWYM2sqruZYu9mxEZtnDn2QDiM3It+zep8duwhTXHJiYfiziGd8efBnXVzj5E/HH9IxDGzSAinCIe7x/4z6p7B/Rz72GW75MR2AIBORY3dFAmAeSrS1tIK7X6L47XvY19j7CfLXZcpFlSxzRTUs7u1jjiWHgiYVst3EjWiLzPGMZyWFkBe3fhRnVFim1CnHRl6A3GMin2mlx77QITHPhHFPhAIoGluw6yMT8W+ASNu9KL1Gz5YFYzYvG3wWCkVEasHG1E3OqKn0NNQfJs5KC0toOVUAfGFXDqB2YYq22RD62UasVVzAOOa0yo/B/k5GaipVbBq+37fQgKrbULxAf1i+fL3awG428deMQnFj3UhNCuG47SCIHZ/qFWUCK+VXa69V96heB6lxtn6uXLWrzsdlsacWDZkag/sL5ZHesHdbPlplCfDxFuVbeGx92Mca22yBLnNFHuzehPieU53h6mxiUSzQh2vV01Z4KgsZqhGyayMNIwf3g03DTgi6s+Y/S1mBmanCOfYx34N1Xt60+uLXX0ezZ47KwbUtR7zIozYzGMPAAvWhSIKxfG6c38lpsxZ57pMsWCXY28W6aCriu9SdIYW0ReHAbBJ3f5brW0kGlKWbirFiOfnYtqybY7Il0jxPNGp4haixz4vK3nFHhAL6DWsPHsq9gSAvWLfKDMdT4441kNpohNL8TwRv4rnGfltxwGkpwVwWl1OohdeFpGd+yPzWc0Ve+80e6tNhVGCtLQADmkWqmB9zr9m44rJ7m9kzagR+q2aYXZ4U0m5tnl0+lkMF88LP/exRlzcOOBwLS9bxekc+6CgUG7cU44/v/MTAEGxz7JehrxOoYnlshnnyq9/2YFlm0stznYOcZxYtVzLzbLOpXfTuGlUhsw2YjnCPON3RwTNcyocM0ZiAMB+U4+9EJHj8DXVvFZxzL9b62q1eJljb7ZmxMM+FzuvKDbKnhUrtoZTzxZv2OuwRGHCKSDRzzUrAuwWVraMbXXPlpnRy+8CykD0LgPHH9pU9746qGhK836XokbU9AWz+cQK1Qixo25/Js71f33/Z8xftwc3TF3kiHzibYt1n+BFHY9g3XVzymMPhIsQMhSfNBjEydwup2fZQ2diuEk4HQD888tVTosVE3Y59n4r9rEoxapy4EUrGxVFUfCCSfqEVfVYr7BS7M1kEJXQWb/u9LyViaIoWhqA1cJt5imqDiradXa+eF7of9HKH+s6mJOZjhdG9dQdc95jH76/YkcGVUY7Jc+7cRv7JtWsYvH9Hy9zUhhTxI201fDcVGIdRVXp4qbMuMc3i2YRr1uNEMWRmaSSmAhmedh2HvtvVu3QagFkCfOl095UdS70OpIrVkSPfTKYtRF0ivC9jf0ail1gSsvdW1PiybFvV9fffO2uMt9Sz8rq1gKzta7MYQNwIqj7QKt7fYmhvkNVTRAt6jo6/LbjgCvRGdFS9cwoyg9Fce7YHzKkiHP97zvLHJQuMcNXbpZqZHLvnus89g7k2ANAYQPtZU/FvgEjTmlNbTz2doPqma9/c1Ci2An3+438LMekf6mnHnubOUjNm8tz2WpspKI6iNP+8Q2+/mVHxGdm/V6tesu7gaXh3+Q6qhO1yuNf/OK8QAZEhfn/3l6iKapWHnsrhV9rqeSw4qxuFsUWMfEshGr+nIrTir24KRVD61UZ/fIymxFL+G6LxpEhnl4ULoulTdG8NdbFON29lvpBbJYiJY7dYw9pqr2u9qH+iZmnL8tkMZnz+25UB2txxeQFuPqVhdh9oBLi8HbaSFcTjF3xM8Pp1AAjahpR0h57D0Lx49EFzuparL0+UOneWI5HqerQPA9A6BlzWrkzYmVcVzFTUksPVmPLXn/aVarUmhjoRAYd3Ur3vjqooEgI0e9492d4b9EmR2VSPfbxGOeKmtR57PdFeuydxq6jlBVqV5WK6lrXiheH05DSdHsuIL4IJpGmDMUnDQ3RWulF5VUnsasenGPigfZSQbCbk9XFWm1xYlacyQ2+WbUD63abe/PMNrRu5uMasQ7FN/H6GQxQez3oUSoqyR8t2aIZiawWbrPol2BtLfLrKkkfqKpxdAOuXj/xe+NZtI3W8ekrtmshmE4g/ql6o1v0HHuvDHLx7KPM5kovWuCJXpxEKrO7eS2N18+sInRTwfCUl52hKVN+FDatNQnFN/NC/7hhr84r/87CTZi5KlxTwem+3okUzxMNiQdc9qJWOeSx3ydZ8bxHL+imvd5X7t6aEk+OvVggU4x0coNo85/Z/HbOv75D38e+9iQNyQq7HHsgNOcsuHeg9r68OohmBufAHe/+5KhMqoKaGWNVfCDcZULdD9ZY7L+ciDBIpDNDk5xMbc1xqxCdWDfLaOy3cqJEozCPofikgSFOEcbJLq7f40fxI4lD8e1a+XSv81Tl11kk3awOLGLXesWsyEvzJJ6HeFHvZX5OBrofUqAdN1t3jPnNnVrluyobEPmM7a7ru22lzJkZSoK1Cpo0Ct1zRanr5+7QuFEfN7H3bVx9sE0qWg95+tuk5VIR/05xbKoKkzHHX8RrpS+WvY7ZnLN0cyl+2eZui0g18iEtYF0V/98jj7f8eTevZUQovol8RxXrx6q65vih2JtV0xbHc5/DmmuvxWiMv0/TRwg5XYAraLOuWSG2nnMztUtRFM1AnrRi76LynEgofkGjTFzYM5Ru6GY0QbxKVb7Q49xNonvszQoghp61j37c7IpMsWBXFV/FzBB7rLDPcJpEPPbGUHerTkFORNPZtQi0Ii0toM3Xuw+ElORftu3Dhc/NwXernSkeqxoz0tMD2nMf/v7EfqcaxUjFnjQYxLljeA/zHPpY2L4vsiCb29gVzzMLE/RWsY+clB8+7xg8fH5X9Dk8tGFUQ43c9rCo2C0yZntILwoxqah7lpaNs/GfUb2042YSNzEo9l7WKFDZti/kzbbympr1w65VQrUMVI/16f+chYuen+uIcq/+DjGH2axughVmofBORkKIm0Zxg6outs0bZ1umL3jmsY/z/MeGd8NpnVvqxs6QCd85KpMRLQXEJjrg1CMjnz0Vdz32huJ5Jvfz3O5tcOvpR+DlK0JjXJ2nvaj6bcRscyuO58yMNO3ebrGJXnHaY59I8TxRgXVzPqwOKtqeIZ75BQB6tW+me++Jxz7On1OVCTfT48Jh0LGdf0qn0HiettyZiuhWRJv/7FIvkjXyJIOSgPcZQERxNicJF8+L/bqEFfvQXGgV0Tf7t11JShfuQhRv1Jf6DKjGzb9//gsWri/BqEnzk5YJCEU1AqE2gUZHY6Iee1WxV40RDQUq9g0YMY+6uCAHhxbmJvR7Lnv5B6dEisrmveX4fOlWW89GWlogYrHxUlE184AOP/4QjDqpvfa+sRp65ZHHPtcm3NnsGnpZrV9LqzDcN7OlTQznBdwt5qJiLFyk5sFZLdxjBh8ZcUz9G9WIgz1lVVi4vsSRVAzj7wbCbV5iwS4U3gnEPYr4XInGg8v7dDD9WbvoFzeIdatz8YmHYvKVJ+LXR85yVR4RtbuAXX9kY26iyK/b9zsuk0osHvu0tADGDO6M048K5b26VUwyFsycVqKC/H8DO2nXUo3QMcNxj30CofgPnnu09tpNpVRMZ4s3x/7pS3rg+v6HYXiPtgDcLZ5nF81nhxr5sG6Xe/nsmiIao2xHFLkfkQZEj7rcdaBKUz6N+KnYx5p2oe69urUNeerdVOzDxfPi8diH5Cmrq+9glQm5aH1JcsIhXLg03rz1TSWhegrfrd6F33YccLzdtZhjb0y5TNRj36qutfT2fc6lFqYCVOwJgNDE+PHN/fDO9X3i/tlftx9wQSJzhv7rO9z4+mLsqrPAWS3eOYbFxs2NhJE2TRvp3jfKTI9YSDSPvUceZ3uPffizJnVeCy+KgamIBYXETYJZJWBjKL6bhY5UjGGQ6iJhdU2b5mbhr0OO0v8OJVL5BsLW82TQKmmnBfDJLf3w7g19bLtcGElPC+C/t5yMt647SXfcqfBPK4+96Km12hx6VRsj0cgJo/fczeJl1eqGzEYpsAs//mzpVsdlUjEW24zFw6Iqh24VY7LHvJr2b4+ehQX3DkSPQ5tpNTF+2mSdQ+y0h1x93ONRSs89to2WOuXmeiJ2VTBLN7KjbdNGuPusLjiyLh3DzXZ3dtF8dqjX/PNl21wLfY83///S3uGq7m6m+kSb/o4oaoy/ndfV9DNjz3EvibUQ3I0DDsf/DTwSk688AUCkAdTJrgPRiuuaoda5Ka8OjQurdcQJw51WxyOJzhsDn5wVd9RONLQc+/RAhBEpUY9966YhxX71jgMY99lKX9KG/YCKfQPG+Iw3y8vCiR0LbX/msJZ5Lkpkj6IoKDGECFtN6MY8e6+qzwORSkKX1pFWd3Vh8SqU3G7dEveQqkf8YLV310tcnMUNo1lKg1ExPujB9TPmuy2ss5rbbb4bG3LEFAvFvjLoRM5c6P+0tAC6H9IUJ3SwH8NmdDukACcd1hzX9z9MO+ZUkRyrtVT03ltFPxjDx/cerHK1WFOyXR5LXcwdTqSNEhBSqgDgqOImjsukYrzHsYR5qpFNBz0wzhmxUqAz0tO0nFw1NNuucJnTinQwBuONGR1bhNZlN9cTNbIiMz0Qs8fZSDjc3b1xkohxBABOPbKl9tqtau/xViQX6ycMmfCda+k04vDNz8nAK1edqPv8pMOaazUIjNS4nP9vR6xpF22aNsLtAztpHU2MBWOdTA1Rx6BVhIMZatTczro+9laGJSdaltYkkO5jhlk3pWSoESJtAoGAbl+a4HSji0L+z7drsHyLu3VwZIGKPQEQewjq+zf0xevX9HZVFit27I8MibT02Jso9l5Z69TFpmvbJjiiqDH+/ofuEec0MuRUuY2dB0K8hmqetpebbdHDIoavmXlrjT3EvYh4sLp2dlVv8w0egeKCkOXYqNg7sVFTQ4UTbZElcvdZXSI2GcliVZhJvK5W49h4fe7+YCmGPjPbce9zMjODGG2wu8y9eiNqCGW8Pc7Vlk9uzjURVfFjkFFNF9njYWGjmat2YOwny7VoEVvjXAzhuk4bjO26vdihridu1rtR09mSSd1RFVUvCtTFq9gf166p9nq3S5W/o1VxN2Js3bvLJi0kGVS5WjTOwk8PDEZ/wchhXLOMeJnmGIFg1I4HY12Z5VtKHesEs7duPjOmDdqhjt9ftx9AVU2tZfE8J1J/EinQCUQWP/1xw17ttRMpc2JVfABaxBQQXyFMEaMR/Ped3kUX+wkV+waMOHfEOnCa5WWh3xHWBZrcZK1J7puV1dG4KasK1nqWy6mGV19/6uGY8ef+ppXb1c2RV4uinWIvbiLVRdzLHHtts5Omfw7NFovWdQqyihdyWl07OwXLmHrxwp9CBcMKGukX+2QV+817yzVvQ6JWbSPtm4es3Dv2O7PRsVLszzuujfa6U1Fj03Oe++Z33fvPl4WKSL27cKMjskUS/0V889pwCsMuF4v0qB77aGGJb113Es4/rg0mX3ECPr65n9Z14JtVO1yTzXiPY/HYq33tZ/26E5O/X+t6D3YAuHLyAkyZsw6vzF0HwN5rZazM3P2QAkz/v1N1x5yukaJegniNN6oh+9Oftzgqj4ianmVWbDNW1Gvqaih+gsYRAFpXll0OGTWNqMMkVtmM+zIz54YTiJ0EjEqyGKZuZuz6cvk2bHQ43zpWEmltCESGuo+aNB+n//ObpKPUFEXRasc0y4s9HU6MzNiyt9xyLqxwoFhnoor9xJE90NmiC5ETVedrDNFKTtVPuqpfR+21m+uzTFCxb8CIeZHiEB8n9HS1wu2CW2aYFbWx2uOqrcVE3PQSiMTS0kYN0/Iql93KAgzo5VStzOXVQU822oB1ZVuzatn5OZn4/PZTcN85XQC4n8pQW6tom+2n/nis7jO7kGijp+XoNqEwaGPEgVm6QTzM/X239loNM0yWorqCM8557COP/XXIUbqczTOPKcZDw45Bb0Mq0Px1e/Dbjkgru9Phn8kE8/Rs3wwndAhV/Xaz+m6sHvuTDmuOCRf3wGlHFeHYdk21Z2zNrjLXihEaL18sW0Z146sowEP/XYH/uqiUAvoCSqqR2G5za/RU/rypNMJIu9/h+Ue9x/EqpWr0g5tFwTSPfRwhxkbUrib7K+UrngeE27y67RlP1AO5V1CgnIxAtAtpzxQikr6987SIdM1ftu3Hxf+Zpzu2cus+/LBmN9wm3tQGFbNowINVwaTrGOyvrNHWpmZxeOzFNr/7K2os92tf/5K8cTZRxf6Ionx88X+nmv6cE110jB77ZPdGKg+ce7RWq2JvA2l7R8W+AaP32Idfj+x9aNSKnmKOUrwVchPFrAqn1eQ0b82eiGNe5dnHEm4n9i31IkXAqKQff2hT7bWoKIjVSL2LJgj9b9zsWHnju7RugpPq+kyXuVwVX1xgT+tcpDNo2XklOwnVjK8/NZy3bqz2mqzHXgwDb5dgVwsjLesMBE55h4zP9zFtmuDGAYfrFIS0tAAu79sBPQ1tsQBzb0C0vsuJkmg2Q/O80DVzNRQ/qN/4xIpoIHPLEGa8H7HYXVoX6IuMrtjqbv6jmDetetrtgh92GpS7kXWbwzzhuXXcY59kfribKVTqfOxIKL4HxfMSySFWjaNmxkQnSLQVn4q6h3lz/gYc+9CXjinPYY99+NjD5x2DrPQ0TLzkeO1YYV5WhPEVCEWOiXuMs57+Dn/8zzzXahWoxJvaoGIVhZfsc7m3LKTg5mSmRaSD2hEIBHB4Xf2qsqoaba53g0RTVVSevfT4iGNO1OPR+tjXTcpi4chkUQ12DaWfPRV7AgAIGJYaY8iwEdEzoIbuuo2Zomm1eBfmRcq/YG2ksu8GYjEzK3LqNoe1ijeVv40ezudH9dRei56p/JwMbXG/76NlmLdmt2O5Z1ZoC43hctn1t87L1reHcQtjHrj4XNn1Ey8uyME3dwzA/247GXedFa6Qb/TYVyVZPE81DIg5kclS1CS0uXXMY294vO0iC8yuaYnJpsHpqtXJGteaN3a/X26N5tGIb9kW/zLXalIYLp9dhJCKsXuI24ibutV1ipvdtTyipT495O66cfzdX0/HOd1aA3C+CJzRaxUr6ryyt9y950+NLkvKYy8Uz3PLoB1unxr/z+6tK3750uy1rsiXqIdZRVXsJ379G/ZV1OCm1xc7JRoAvVyj+nTAsofOxMmd9KmXVpFqB0yM7Gbpk8miKAr+/PYS/PntJULbyviup1U66T+/XJWUbOocE0+7WRV1T3OwqsbVNq9hBTqxZ/DMY4ojutg44QkPF88LvX/4vK647fQjMPmKE5L+3bnZarcn71ur+gEV+waM3bLVtpn9pkvMs/PKs2tmxbRSnif88biIY3d9sNQb73gMofii18OLcHyjIiRWnx/QuUh7nZ2Rrsn24Y+bcfF/5uGk8V/hxw0lrslmFYpv581WvWZlLkc82Cn20aJaOrTIwzFtCnSRCMYWMZVJ5sypG4B4K6XboXrs3SqeZ8xdFjHr0a4WsnIq586ORD1pzRu777FX73Xc+dfCJswtQ5ix3V2saTxizma8m/N4WbIxspuC3d72hgGHa6+PKs7XijkV5mXhpMNCXkunDSXGPNNYUY2zToTEWqG24oqn2rcRNRS/VgHKXFr3kvFIihFDTvfpBsQc+9h/5gih/oiaTri5zhPuVJE/q0gCszakF/Roa/o7Sk2ePTdaWZYcrMYHP27GBz9uxk+b9gKI32N/VtdiTBzZA7ed0Ul3fHWSkRp7Eiicp6I+r5tKyvFDnRPq7G7FAIBT6owrdmtnrCQT0aJyurBnBMI97pNBdXCpe9O0tAD+PLgzTjuqyO7HYkL9nQ2lnz0V+waMqBAZx/g/LzoW/Y5oHtHbWqVzq/Bi41WeuJkV00qhsTJMeFFArzaGxTszPU1TDL0oABdR3Co9Dd/cMQBTrjxB5+3NSA+YLh6PT0vOkm2HeluNir3dvVKt24rirmFJjBpITwugmeixT7C3qkhlkpZ5dUw4mQ5zSN3Y+d/SraabtXgx6nhitVsjYj7nsXVVqh/7/BcAem+407acZH+dWqBu6rwNjvZEFgn3+Y3vXl91crh4kFupK8aojFgjKsSx+/ys3/FaXVE7NzBrW2en/LUuaITn/9QTw3u0xYc39dN9prazdFqxV+e8eMez5rE/6J4nXPV2xRNibCQ7I7zu7XOpNaSWQ5yA4iIW2trqQqSaZsSOQxMVQ5/dahMoFs+LRrvCXPx4/yD8R4j6A8wNIW605xNbiqqV2eOtWRAIBDC0exv0qUvpU1HbRiaK6rmOp3Ceivq3PPDxcu3YH44/BF+N6Y8Hzz0agLlzK14SzbEXeei8Y/CXMzvjkhPbAXBGYVaflawM5+t3qTUzZv+2q0H0sqdi34Cxe7yPKGqM1685SctlNnLvOUdruVbeKfaRElt5Dzo2z8MpnVpoFk8VtzYTyzaXYvRbP2LHvgpLD7QR9e9Z7KI3XMW40c5MD6BDizwM6Fykq5dQW6tE5L4C7uYmiVXxRew2BblZ6ZoV1ql+62a8v3iT9jojLU3XEilezykA9DOENSbrsa8Seks7xbHC3/jX939O+vcZF1KzwpbaZ4LSX1yXEqBu5ESl1Mm+wyKJFrUS01mWudQrtzrBHPumuVlaqyK3cuyNM3Os6UXGMX6/sKn1gmhz9JCuxXjyj8dFhJ83zq4rAufwc6iupWaeUjtUD2FVsNaRytlmqEaYZDz2gUBAGyu7DlRiyca9eOi/yx0rbKsoSkypcFZkZaRp9WfcKLSVSBX3I1vl45bTjgDgXp2geOVqlpeltXBVufSlHyKcL248i2b3JdHUhhM7FmLYsW204qdrd5UlpfjtqcuxT8Rjb0ZGehoOb9lYc2TUGC2oCeCEYt+qSQ5uPu0I7e988bu1ScsVjj50PnKrUysx6sWbWlt+QsW+AWNVPC8WWuZna5bksqqgqzlBtbUKDlbVmE5qVh77tLQAXru6N569VG9Vdqsy/oXPz8FHS7bgrg+WahNnrNfUTcVUJUKxF7RoMS2gOliLtia5r67eX4MhRG1p1+dwc6MSENogqrngboZXiaGOaQF9WGQiC1Dbpo3wzR0DNEUr2VBFVdlzMhS/VZPwhm3Zlsjw5XgxRos0sfHYX9CjLU7sUIir+nXElXXeM7MWjI4b6JI04ovX3+mCaipaVfwENmThmhTeFM+L9Rq4Oa/EQqLeZzWqacnGvY7JUlkT1PJMjSk70cjLStc26nvLq7Bxz0HHPVPldYa1ZDviqDU2hk38Huf/+3tM/n4d/v31b0nLB+ijgxINNVarmbuR1pBojr36vL06d70jUVRG1MsWj1hmre9Kyqp0z50bofh7Teb+RHXU9LQA/nVJD7x2dW/t2NhPEjcuqm3/Dkmgfsi/R0YWpVOvsTq2negG44Rir3JQWE+STdcMe+ydV0vPOzacPuLG+JENKvYNGVGxTyC/sVluljY5uFk06tpXF+LoB75wpFdqqUsee9UyPX/tHm3xjjZxqn287YrEOYWai6YiejNEL2VVUInoFQ8kH6psh1Gxf/eGPvjLmZ3xyPld7X4MxXUK6LZS9/Ka9cavgM7okWgofocWedo1dizH3uHF8PELuwMI5c4lqyBEhuJbe+wbZaXjnRv64IFzj9audWVNEIqi6Cp+uxWSmuhWRyzGtPOAO4amcCh+/FKqxpESlzY14iOSnhaIyF21wkvFXh1zYvFGY1vKWBGfYafmb7FIabPc+EJ5A4GA1nHjpe/W4pTHZ+LZb353RC4VJ9rdAeZK7e87nalCLxqwE/XiFmiFCN1Q7BOr4i6mLz027RcnRQIg5v7HLlhjk3n80c9W4vlZa7T3bqQ+mnnsk0gXB6A38L0yd33Cv0d1HDUzKd4cjUNM0kfVCEHVEaMoyReOdVKxv+PMztrrf89Mbr6pSjANKRbS0gLa/O9mgVFZoGLfgNH1sU9gjKelBYTWWO55Tb+q6925uC4H6c4hnfHkiGPx4/2DYvr5hwUF0c02O0Bo8xNrKL66EfOiDd/k79fFdF51sBatTazNySqgtt9Zo3qdQ9frkGa5ujAvK1rVTdTbTDz2tbWKI5784iZ6I4e4+CazLqoeueQ99vqCM05xYodwS6Mvlm9P6nfF47EXaZkfmlsqqmvx6/YDuuJ5+ytrYi7QFgvJ/qaCRpk4v85Qt2WvO3NhOBQ//nvdSjOCuSObOued0KEZljwwSJfOYccpnZzr5hANVcloVxgew4l6n48qbqK93lTiTJE19f42zs6Iu44CEFZIJ80OhcU+8cUq/Gww6CaDE+3uAODRCyINtsaw7kQR55pES6A0resItGOf8wbjRBRoQJ++tNKFtpDq+I1HKrN5/OMlW/B3wfDgxr7hGZPojkRTqETMOinFixqpZBbNEA0zg7eqfIvG3GSNoeEuRMlfs/ycTPzrkh4AgBkrtycVEetGIWARLwqMygIVewIgcU9VOBzaPa+pkZaNszH8+ENitoqOOqk9OtWFULsViq8SrFVizldTKwS7lfcvMuSY4ugnITS5GnutA+7m2FfUKbfxhsUG6zbCD3+6IuK+/u3TFeg97itMX5GcUqou9mpxtJaCty+ZFArVU5isR0PNZU4kPNuOdoXhFpazft2R1O8yOvxjrewrPg9nTvhWF4qvKO4Ugktmr9OhrvDSht3OV9MGoBXlSyQFRDVQuZW2Eg7lDdgWRzTyyPldtbQUFScNNiKVdR7nQ4VnO1Hvc3paQPs9TkWBqRvbhGUyeXiHTfw+KZlEKhzIsQeAHoc2iziWqHfdiLGLSSKonuiXv1/reB/28N4gPtlEpdMpQ5KIetXiuQ85men423nH2J7jdCj++t1lWLMzsoWeE4+PWSh8vKjFNBOpXt/EsO+6vE977bWo7CYbjl/joMceAIYd20Z7Pf6zxKNJKl0MxQfC19cLR5rfULFvwDiRgleUH9owuumxN5KIRU/NjTbrie00Wh/dKKuNGnL0ytz1roekHtYytmqvedkZGNC5ZUQ4/sGqoGspA+rvjVexFzsfdB/7JcZ/vlLzPEyZsw4A8Ow3yeVuqhsTNSROTGFIZgEKe+yTDMVXox0cXgzT0wJapEuyXl6jxz7e/GGVD3/crHvvZBEcJ/KROzQPjbF1u53v3QwktyErLggZpNyo9A1Yt8uKRrO8LDww9Gjdsf0u1QFQx5qo2OckUYFZrETvBMlG38Q6xyeKalhLpiq+ym2nH6F775RxOyh67BPU9tQK2gBw/r+dM4wAsXXMMePwluHaLrsMaY9OKM+aMS1OuS7r0wFfjelv+bnTofgb95gbWjId6FDTvHHYeJJoHrZawyQRj70xAkKsMSQa7pPtuuJkKL7KiXWFtN+cvyHh32Fsd+c06vV127knA1TsGzDiVjbRUCbVY+9G2JoVieSYHto8tJn7zaFcPhFjztPvdRblaBOnmOv5VhITYiwEoyguT1zYHf2OaI4bTj0czRtnY+7dZ0SE07rltVfrE8Sb7zr8eH0/3RdmrUGnez/XHUvW+RduPxXezD58flecfEQLXN63Q8K/N7vub03WWBJMoqBaNNQe479uT27MqEpfVkYauh9SgOPbN435Z0Wlb35db18VNyJdkumlrs4x61322CcSpt2mLr1m1q87XWnHl2iIMaAvSAm4c1+DtYpmGGnXTFDsk/A+Ox3amWxV6PvOOTr6SUmghhk70Uv79oFH6t47FfVQ64DHXjT87NhfmXROs4ixnkysFOVnW362c3/yey8t4iaBnz28ZWPL3vY/GObsZFGjFdoU5OCVq07UjjuhpIr3PVHlb38Sir3RUSC+F/++ZD32bij2f6nLtc9KT0t4vLhVL0ilSd285UWErN9QsW/A6PrYJ/g71AXHS499Iha9o1uHciJXbt3vtDiWylm0efPCnodorzeVOBvyZySaQ/KiXu3w+jUnaXmaAPDMxT1w7SkdNYXbiQ2EGer1i9eTa5YTV1Or6AqrJds5Rc0RFBfZUSe1x9RrescVcmxEjdZI2mOvFlRzwGNhpEOL0EZnS2l5Uv2I1XV+7LnH4JNbTkZuVuybnqtO7ohzurUGEOmZcjKkzomtu+qx37avwpXoFnVDl5nAhqxTUTjcfex/nW8pl0gbL5WiJjm6OijLHejEYER8fsU0E7O0o1hRa4A4ZfCs0mqNJDaW2xXmYuLIHo7IYsZ+LX848WumYlQqnIq+0YXiJ+isuLxPB1zZr4P2/p2FG5MVS0NJsHheIBDABzf1Nf3MiXU5UYODihjlIGI0xibD1tJy3PXBUgDAyZ1a4KTDwnVgyh2Yb3Mywy10E/192hhJ0Pj13Z2naa9FI3MgENCM98n2sndDse/WtgBAyOt+MMEUOa0qvlse+0b02JMGgN5jn9jv0ELxPfTYJxIC3aVOsV+0vsTx9nJWm/hoURAZ6WkYdVL7mM5NlkSsqIc2z8W95xyteW7dqqMQ9tjHp9g3syiut3RzWDFIVuFVlUmnK7Wqf2t5VXIbkrAX1/nnp2XjbORkpkFRQpuqREl0M6uiesKNj7AbbSKTGYbNcjM1b6Yb4fjhUPxEiueFPX5T523A/37e6phcIolev1EntcfhdaHkN0xdjNmrdzkold4o1L55WLFPxjindm1wKkLDieJRrZqYdDRxqO2duiF2wmMPAC9e1ktTLhwLxRdazSbSxx4I1Th48NxjtLoUj/5vpSOyAYDasTeR9f64Q5qaHnekboYaiZ/g+C1IwkAWK+8v2qS9LszL1jkCnGrjqRZsTXRdVp/jWAvEGmlXmIs/nXQojmvXNKLdr7rGJ5u2qXVXcVCxz85I09b3gwleOzer4gNhj72bHbxkgYp9A8bYyisR1A3jDpe8uWYkYtHr2CKcf3jnez87KQ4qLLyZsVi/1WrAVhZvp0gmnLDI5cJb4eJ58d1XK0PAz5vCin2yjuxKlxYbdeF/bV7irXWAsPU+0fBdOwKBgLbRMeZ1xkOivZtVrBSJzQ4WtnJC9wkEAuhSVy19xZZ9UBQF05ZtxW87nEn/SaZ4XiAQ0D3DN7+xGG8vcC79J5lQfBUxNemFb51t1aZuGtPTAjrlV01lSQS1IOvqHc5EgTkRimrs4gE4V7MgmcJgZgw6uhU+vrkfAOdC8VUjcbKV+wHgvqFdAIS8t07VwEnGM25lqHjxu7VJyQSEjYaJjl/VQWGkRePkK82riFsYp55BI+oeJBGPfUV1UNsvFMTZrlLkkfO74aOb+0Xsb9Q6AkmH4icZnWFGIBBAXl0kXrKKvVtV8Y9uE4oqeGvBRrz03ZooZ6c2VOwbMDW1yeX0AWGPvVtKnxmJhBCJk0WyVX2NWHnsY7GIqlXW3Vbsk/HaaMabfRWorVWwevt+RytXJ1o8DwCObBXOz1Uvt9jiKdnFS1PsHdgoijillCbjxY2FwrzQvf9p496Ef0cyYdpApFdVzcl2sjp0Mj3iRQ6vk+2R/63E3DW7ccPUxRj45Kyk5QOEdncJyjht9Km69399f6ljKQPGAomJUCQopU5HY1QKYZ7i+pFMKsyRdZFMThluwsXzEn8G25i0Kt3lkNF9v5Zj75x3tsDh8NjyJNYSI2d3bY1muZkI1ipYksT8J5Jo8TyVKVeeEHFsxZbk29+pz16iBuwOLcwLNzrZWkzsgvKnOkPC2d1C3X7O6NLKke9QO1Ikotirz3AgADSOI90sVtR536nieU5H+anXLtFQfHV9c6sqft8jwhEQj/xvpesFq/2Ein0DRrVuJ1qlGggXz9t1wNkiMypmCmReAoVJAOC+c0IW+GiF5OLFKmwrFstji/yQRdut/HUV8W8+/tCmcf1sK814U4mXv1+LQU99i3/PTK7avIiax56TwIR+11lHaa+fuPBYAMBPG8Me+2TzyCqr3QnFv/rkjuHvSKKqsRPGOTta1NUx+NunK7BofWL5ksl67JsI3pl2hY20azf5+3X45KctCf1OI+p1TPZ5UT2me8qq8OOGvcmKpaMqyVDtji3ydLnDgHPGEXV6SSalqI3QiWP5ln2OridaSk2dR+6UTi0AAH84/hDLn4nG4UUhZWbXgSpHDBFVWvRN4nON2fPrRDSdoiiOe+yBcORSRXWtI9XdNSOxA/N1WlpAC4f+fOm2pH8fIPSLT3CYDOhcpL1WFaDy6mDS3X6qkmw1JkbbiNTUKo51IjpYGbq3t53RSTMIPX1xD8y9+3T0bB/ZQjER1EiPigS8zvvK68ZHdkbCaSB2qEVTqx3KsXfSYw+EHWaJeOwVRQlXxXctFD8TE/54nPbeyfoPskHFvgGzblcoD/RAEqF6zfOykBYIbd53lzmvnJqFHR3TpklCv6t1QcibkWz7LiPqhuTQwly8cU1v7XgsSkILjzz24mW8o66Caayoxpu3F27EI3X5hv+c/qtjsiXjse9/ZBGObNUYRxXn4/SjQpse0RuetGLvUih+26aNNNlKyhL3amheXJc89s2EAoUvzEosfE3LsU9QxGPqQugA4JUrT9QK9QDAbW/+mHQYb22too2PRAtuqVx8YjvttVgQ0wklVR0nyYQZ33N2F917p/LDnWhVZDTYJlPXwUjYiB2Sb/IVJ2Dx/YMsPY2xkJuVgUPqWm6u3p58OH61Q6Gob1zbG09c2B39j2wZks2BiIKDVUHtGXZSsc/PyXBkHlTR1hKHovIGHR3yBP+wdrcjvy/RPvYiU648AW2bNsKky3tpx3o8PD2p6Jtklar0tP9v787joqrXP4B/ZmFnAAFZRcB931ARzTUlSivbS9M0bzfbbfOX5U3LUrOyey0rzZu2XtOyLFPKBXdxQRAUcUdAQJB93+b7+2Pme+bMAMrMnDM48rxfL18vljOHM3I45zzf7/N9HoVQGd3UwEXbsedsvsXHxvEZezfR79ZBpRSe66TAn0EsCU75jL1pP3qp8DoC9VYsHwLkKZ4HGK7fltQ7qBXNnsuVig8AkwcG4+HBusHc7alXZfs5rY0C+zbs1Y0nrN6HWqUU1uEOfX+nxf0/m2N6EXtkcIjFN0XezuREZrGkqZ7idX3tRW1pWjKLygP7gvJaSdPbTfF9vxbdDcM7+5r12nBf9xtvZAUePFsS2KuUCsS+NAp/vjjSKAgVvi9VKr4VWS1NUSoVwg3WtD+7OYTieTLMEADG2SiWpltbW3G5i587vp8ViQ1PR6FTe3d089cYzeJbGwCKs1msHSDx93DGmO66gOqyqICeFGuIpQjsHVRKo6VIUgX2hsE5y///TNtXZhRKt9SitsH471itUjbZVcNcfJ39WQmCZymK5wHA8M6+eGhwiDAAnipBlwGehq9SKiRZv84plQrh9yDF4Davd+Ms0fW6h75mxikJ0t0BQ8Fia2ZLx3T3w4E3xmFk1/ZGX1+6Lc3ifdZIUJH8ubFd8M49vZv83lPfHrN4vxyfsXe1MGOzJfi5bUkmGL9XusmQhg8YBhsSLhdZtZ86CTKDmmII7M0fFBFnIchVPI8br1+2seP0VckKi95sKLBvw6QKbjuI+gJvPmF5kNIU0xl7a9J0+gR7oJOvG+q1DIMWbZcs1ZNf0J0dlEaBfUv276MvLlOvZfg79Sp+TcyS5WJjqBZs/gPFkDBp0tyaY21QoFQqmh19trbbgGkKrxw2J1kR2Mu0Xo4Tp8daGmhZUwmau62rL4aG69obOaqV+OUZQ+unnGLrMnCMWmRJ8P/YT1+9+uAFwyxfmQRriC3tHmHqxIJoPDpEl1lwUqLWclIMgHVo54oLi+8SHuwyJBp0AAzXGKnTPPk6+0QrH7YB69c5m+KZLuJiopYqrzFUxJe6g4uPPrCX4nlEigEmMfH9POyNP62euLB2jb2pLx+PED5edzDd4uOzNhWf49fo5vZvjaZm7KXGa+nsOZuPs2Zm4YifA+Vk7XOrVL9rU+7WzNjX22bGHtA9SziqlcgqqsLpnDLM/y0F839LuaXW3FNgT6w2QtSWw9KKmM0x7dlpzUVToVDg+XFdhM+/PZRu8b7EqoXgT2XU9qUlRYac1CrhPc3+PgEv/3QCWyVazycmpBpb8ETR1IOcQmF9EReOF6qRokDd4vv6Gn1uTdVrQN4WLP+a1AtA0y2qbiThciEWbz0tFCdSy3QznDO+m/CxpWt1hfRTSY5Ip6u/Rhh5t7YQofhBSYrMBz5jL1YmQZ9u4cHRygdbB5US9w7QzY7vOZMv6TIBax9qVUoFHh6sG3S4LOGMvVDHQ+KH7v4hXgCAC9esb2/IB0ekGqTjA7Knskutng0vrZZ+fT0nZK1JsJTPmmVdTfE2aal6u5WFMJnEFclj+gQg9d07hKDqmIV1UKTKFukZ6IG/5ozC4Tdvx0Aza/ncCH+2dJVpRhwwHnAxN7A3dPeRZ+Dh7v5BAHTPYw1ahud+PI4l28xvxVjboB/klGnG3pIuHLzgnpNaKfkSAVOujmoM18csH8Sm4fv4DHwfn4Gdp/Nk/bm2RIF9G+anabrgibmmRYUJH2dL2IIKaFxYrI9ofa0l7hcVS3rnj1RJ0t/FM2kKhQK/PTcC380aajTafz3ijAcASMuVJu1PjAdXlqamfzV9sNHnjEmX8cFHeKVIYZsS2dHoc2sLzciVig8AwV66gN6SGhezvz+O1XsvIuWKbjbOQaabYZ9gTxybPx6ArsKxJQWueFaB1AX+Qrx1ayvn/3bSqv2Is4KkeKhoqt+0FH26+YOjFKnQg8PaQeOsRkFFLU6IukhYSsq/E96a9IJE1eYBaZYxNIUv78qSYBCCD9JJ1RPcz8MZ3fUZBR//bV1NFD4w5e4k/fphnoovRX/pGomyWjilUiEMIALWLxfgExVSFldzdVSjT7BuyYClEyu88JsUs7jdAzTw93DG3Dt63HhjMwjPCU7yzdiLfyvmVvSXKqOqOXxy4YPYNHR+cyv+TM7Bqj0XjboAtYRckxU88yavzPwMOn7eWloY21y8i4K49sPFa9Ldb1obBfZt2D36EUBedMxS7TVOWHK/bqY0XcL0ScBwowZ0VZOtPVYA+H6WocCdFEsHqoSHRt2f04AQr0br367H9GImR4gmVEK18IFiQi9/JC+MRuq7dwgzLF8fSJdkYKS8hl/UpbkhzhnfVfi41sqsAn7+yVGplWd0mDsYVt+gbdRFQc5Rbh83RyEot6SfvaEOgLT/h+JKzMMW77S4CKhRKr4EM2lKpQKxc0Yafa3Uyhn7ipp67D6jewiRYtbZQaUUiqttS8mxuu2dlCnQQnp7ZjHu+s8+vLQ+0errjFyzaSH6wL6gotaopoIleMtYSzJ4mjOii66eytF06ypA86UkcszY8+VollxbTBl+z9Jda3gHBSnwmkHWtDRsCp/Fbq5Dz41cKdY9t5lmKFiDd42Qii1m7MXyzGzhXCXT4CHHsylMlzVcMjNbSK5U/FAf3bXw8jXzYwA+aCPX/52ppuIIqbo33AwosG/D+ExVr0DLqsyL8SJC5yWoDizGZ4I0zmrsem2MJD10h3UyrAM7k2v9KF2Nlel/vA0fJ0WhLVOGAmaW78PD2QGujmph1uLLPRfwd6r1ywb4Rd1dotHal27vihf0Sy6s6VMNAJV18t1w+ENyTkm1WYFLUwGsnOvSFAoF2uuDaHMfdgBRsR6JHyQeGmzIvsktrcYvCVkW7Yc/bCsV0s2k9QjwQKf2hgdba/t0i2dcpToXb++pe7j5at8l9PhXrMVBASBN61Suq7/uXpJfVoPUnFJsTspGQoZ1a9ilPD4x8ez66xuTrdoXz4DykaCoHzdrpK41ZPq1CquWXPAZew8ZU/ElKZ4ntCeV7vdsmkFhzSCTFC0Nm+IiVHO3bACRd/DoFqCR7Jj8NM4I9jJUrLe2dhB/b3LO2Ivlmnmvq5G4voOp5m5NmWZmC0nRwaQpYT66+126BQOcQuFBG/1ug71chGVUgC5LbGi4T/MvsDMU2LdhNRKO3HX1090QskuqJW0nx0cXNU5qyWZb1ColBuv7nkrxkGzonWvZvoaEeWPllEHC51JnPQCiVHyJZ3atbWPToGXCSLdUaVgKhUKYqSq3MqCqrJEvRYzPTAJAvhkPtU2t15areB7XXj+LaMk6ex44S71cwE9jPLP50d9nLNqPXO1/tr88GjG9AwAAf5+6alVw//WBS8LHUl0Hx3Y3nrX4fPd5i/cl5UN3U0vErE3Ll7qoWlO6BVjXPaRYP6Dr5SpduruvqDirNW1teVqyHK282gudYaQI7KWvpeBp8vsotzB4BgwtDaWuieKir7tRVWfZQDbPFuHtG6Wy89XRwse/HLcuO5JXW5er6jxgXE/oaql55yMPTl1kKu7X3Mz8luQcs/YjLJuS+FrYUT9jn1FYafYgToWNszEACAVk3RxV+P35EUJry1sBBfZtmJQpOZ6uDkKxnu/jL1u9P65GVJhOShH6Y7V2Jg0wBFrWBH8T+wXi75dHAdAFy/vOWd/3ldNqmVCQT4qiPeICdf87kmnVvsRrjz0kyMYw3VdJVb1V1U75w7CrDDdrZwcV2rny42z5edjU2j+5+thzPNiyKLBv4JX7pT/G8+/fKXxsaYE6fnxSB/YqpQK+Gl1gteP0VTz1jeUtn3qKsqqk+jvxcnXEG3ca1sFeyLc8eK6QcACsqWKd5j5km5Jz/etLt3e98UYtwK8BUgbPTmqVMDNnTWBfqC9sJ2U2ASdpKr4NZuytWbZiKFIn7bWGT1BUWTDoUFJVhwv5uqCxnYSp+IDx39trVrRXFk8AyHEv5iJCDR2AzM1+EIooy1CPB9AVLBZb9mA/AEBabhn2n7vW4v1I0dqwKTw7o7K2wez6BPz/Ws7fralHBofgq+mDsWF2lCSZwDcTCuzbsFqJ2+s8OUKX9vfD4cuStDcBxEWZpD1V+cOxFEWteLDj52FdMcJu/hr00KfCfRCbhqyiSvx1KtfqFLbUHEMxPikq2U+J7Gg0sv/T0QyLj7GwUvcwp3FSS7rmy8NFF2BcK69B17e2YcNRywYgpF4mYIrfUMwJSrOb6Nsu94w9D+zzLUjF5+vL5bhpq1VKo6UslqQb82wWOQZHfNwM14TDlwot/jvh/3fODkqhP7kUZo/ujI8e6g8AuFZmeWAl9YPZfQONe9pftaAgk1iVjDP2PPAz92HWFA/svVykDa7cnS1vQ8UV6JcJtJMhsJc2FV93f5Ny1tQ0sK+xcFYckC/44393lhTP+3LPBeFjKbNFuIV39xI+tvT6VyUaTJGzwNqjQ0LQv4OuQHOtmYV3q2rlLZ4nNjTM22iZw88JLX++KZEp+8bZQSX8LWcWmZd1aqifYLvAXqlUYEIvf6Et6K2EAvs2rEbi3r4TevnD190RRZV1OG7lmkhOmLGXPLDX3RykmLE3FD2yvsvAgrt7AwBOXinFbR/E4envErDuYLpV+9SKbqbWFvHieOsVAPi/X1IQPm+rRUFVsT6w93KT9iZjetOa+4v561+1WiakiMn1MMH/9i6aMVua00SxPbkGHjie9p5dUm1WZfya+gbhgT3IS9o0T27miHDh/3HjsUycM7POR71MqfhA477OBRYW6CnX/92umT5E0oraANBFXx8lw4rK7kJVY4lSKT9+qL/RMilLajuI1Vi5XOp6vCzIujHFGBMeuE1Tv63Frw3WtFwskmH9P8cHiXNLq60afADkKWBmWjCwyooZe7lqFfAJkDX7L91gy8YSLhue1bxl+P1OiQwVPk7OKrFoH5X680KpkKf1LKdWKfFKdHcAhmUTLSUsR5IpOBV3+An1cTWaXDFnDIIX3jVdyiYFPjGVlFls1uuK+HOgxBkjbRUF9m2Y1EU01CqlsLb571NXJdlnjUxFj3jgZ20PbEAU2EtwoRQX9uPe+SPVqn2KsyekKszXVPrp2I92m72fwgrd8UidAujuqDYqNmPJg574AU6uwPm8fu3w6z/rBh7yyqpvGMQsbOJ84MGZXHjrxp8TsjBpxf4Wp6PyehtOaqWw7EBqKqUCnfQt0t7YlIIJn+w1K12WD0hJ0cPe1PDOPnhubGfh8/MWrhXnadRyVCXnLdtyS6stTjPm1xV3iY5PqdS1DZ0xPAyA9an4FTKmevLA3poZ++o6rXA/lqrdHccHJa1Lxdc9eHu7SdMiV8zH3QntNU5gDDhjZfFdOdoamlaKt/RvJKekSjhHpE79DfQ0PHvEnsxBuhmV0nmg/PSoTrKkkTuqlcI5bWl3hgrRwGFTS3WkxJdJmLuET+5JAPFznFqlRKiPG8brC6BmmFGwjreja2k7ZnMM76IrQPdDfIZZEz281aUcA4dtEQX2bdSZ3DKhfZKUKdC8hdLXBy5hZZzlxZg4uQp98EInJ69Y3zPekIpvfWCvUCjwzZNDrd6PmLgyvFQBoLODShid5TIKK4UZ+JbiI7VSB/ZKpcLo4cmSZ4EK0SyBnEW3uIv55Rj6/k4MXbzTrBZ4zg5KWaviA8YFzc7lleO1jSdalFaZXax7iAj2cpH1gayzyXltTlHHWqGglfTHp1Ao8PodPXC7vr3OW7+mmJXxwPF2Y1IFzmLtXB2EQQ1Lg1OelSFuQWit7gEaPKIvcJReUGFVNfIc/Xno7yn9LJWni6F/s6WpxsVVuuugWqmQfMZPI8zYWz7wUCAE9vI8ePMaEqv3XMTrG09g9d4LFi0bk6NIolqlRPLCaOHcfnjVoSaD+5NXSoRB/qa88GOi8LHUf8ezbgsXPp79/XE8/t/DLT4X+T14WCf5qoJPj9LN2ltSMR0w3ItdbVA1nQ90mNsql2cVyFXZXRzY83aJr9+hq5Fy8VoF/kzOwdyfT1x3AK+2Xosi/TW+qSKl1poaGQpPFwecuVqGtzefFP5Oauu1OHShAO9tScXMtUca1ZAqlPn60tZQYN9GvfenYdZPyhTZO/sECh9/+JdlVarF5ErFdxWNqlrTBqiytl5Ir5MiFR/QDY5Miexo9DVzW5qIiR9CHh4cYvF+TPG1uWLmzkjyFE85ZnPFs3OVtQ0Y/N4Os2o/lFYbZlfkniUAgHEf7xE+Hr50V7Pb8RlWXuhn6f395D0wNK4fsSU5B9tTdVk5OSVVmLM+EeuPZDR6HR+gkCsNnzNt2fn0dwktfm2NTD3OxfiA2oX8CvxnxzmzXsuYoaK5RobZIIVCIQQa5TXmB3/VdQ3CNbC9hIE9oGuj6uygRFl1PS6a2a9ZjGdmBctwHnYP0MBRpcTV0hqLO5rwjAQ/jZPk1xqe5cEH8s3FGJOlFZ8YrxsReyoXGxOysHhrGoa8vwO/JZpXSZ0P6En9t+zh7CAEQtV1WvT4Vyzyy2pQUlWHxVtPY92BS7jns/0Y99FuHL5YYPTaU9kleHzNYRwTpbxLPXijVikRJQrMs4qqhIJ4N1LEs+ZkDKr4pEeehZk3vBaSnOvrOT5Ibm4q/s60PADyHSNvTwoYzu9QH1coFLolHs/9eBwbjmXhxf8lNrcLYQDWQaWQpZ6Cp4uDUPPmh8MZGP1hHCau2Ie+C//CY1/FY83+S4g7k4/Z3yUY1dTgywMosJcGBfZt1KELhptP5/bSpfG6OKrw/n19hM8tmZ0S4zMFUqeu8TZUgHUF9PiNytVRJWm69qJ7+2BkV1/h85HL4izeF5+xHxrmLek64qbOG3NT/fnosRwPFabVw6+V16Db/G0tXv/F34vUqbFiPz4VecNtsourEPbGn1j4+ykAhvXM79zTG/vmjsVkk0JjcvBvIhvlf0cycCy9EFFLduG3pGy8sSkFf53KNdomR1/oL1CGmVKxxyNDMTWyozDoAeC6s2diQsV0maoZA0AvUcG7z3dfMJpVKSivQeJ1apIUVdaBjz3KVb3XmnXYOfrlFi4OKqFopVTUKiX6BXsBwHX/j26EB/ZSt/MCdP93PQN12UtpOZZlgOXq/04CZPg74dexnxOyLOoQUlpVL1xzmroOSGGmfsmFWFFlHeb+nIyUrJIWDch+H39ZOE6pu+gAjQvyLd2WhvVHMrB670Us/CMVWqZLx1689bSwjVbL8PJPSdh/3lC1fHpUqCwDxbwrEXcqu2Xr2fnfhumSAynxQZHzFnbe4B07eK90OfHAXlw8LzmrGP/45phRPQIxcXaEXMv2nhvbBW6OKjiqlZgxIgyALsA3vabtSsvDu3+kNjlhlau/J/ppnGWbrHhocAi+njEY7TVOuFpag1PZpaip18LbzRH3DQyGt5sjKmob8K/fTiKjoBI5JVU4ckm3RMM0845YhgL7Noq3mOkRoJF8lGzKUMNs8+bEbKv2dUk/6hzuK+0F3VGtFC7AxVYE9oYLpbQzLSqlAt/NunHQ1xJ8cETq5QwujiokvT0Be14fg+GddbMFX+27aNY++IyuHIVcmutLOnnlAZy8cuOHHkP7KflmCYZ39m32e4wxLN2WJszerzuYjqglO4WR7kBPZ4SIAlk5+WmcEBnuDVdHFf79yAAAQNyZfDz45SGj7ZZuSzP6PFsf9AXKPGPv6eqA9+/rix2vGPomx5vMnDWHB7Ny9R8GgIl9A/F/MYbWcpuOZyGvtBoD3/0bEe/twH2fH0Tsycb9iBljiP5El8kR7usm2zG6W7EO25CVIc/D4oCOXgDML8jElVbXCb9juTJH+IykpcUR+eBIoKf0xzfvLkPXCEtaGvIK177ujrKdf34ezvhq+mAAwP2DgpG2KAYju/qitkGLuz/bj27zt2FbyvX7dW8VfZ8vCZSSadZgYUUNlphc7wDgRFaJcH+Jv1SAs1cN/+dujirMn9ir0WukMCUyFEGigaFPtp/FJ9vPXrcmgLhoK38mlEN3f43+51WgwILuB2m5utoL3U2W/8mBL02tFU1KfbL9LHacvooHvjiIx9ccRlxaHtKvVSBFXwxQ3Ab2evd0azg7qHDq3RicWRRjdJ2I7hXQaNuvD1zC2I92481fU/DOH6cw/7cUvPFLstByUKrs0uaM6+GPna+OxqppEVj+cH/8/fIoJMwfj08eGYCVUwZBqQC2nczFqA/jELVkF2obtHBSKxtl3hHLUGDfBlXW1gupf/+dMUTy/Ysf7iypRs5dzC/HxoQsANIH9oBhJnbVngv4M/n6Dw1NYYwJvanDZDg+MWvqIPAWZVKvYwd0VUxDfdyEVM34i4X4/UTLB3PO6VP3u8owUvvS+K54e1LTD1F/p964uCOvv9DByzbBs6lDFwuMWhEBhgCgfwdP+Eic9nw9CoUC384aikNv3I7JA4Mb1VfgTAND/uAYJPOMPeeoVuKpkbr1puKspOasjDuP2d/r0vblKCbEqVVKPDOmM97SB1lvbz6FoYt3ChkrAJCUaTzYVF3XgHEf7xH6e9/WRZ4HRsDQEWDaf48ID6stJfdyi4EhXgCAxIxii15/pUh3fO1cHeAqUdV+U+2EAnqWBfa5QmcV6f9OIkLboZ++hdfW5BxsTckxq7Vclv7/L7idvNfBCb10wcAHD/SDs4MKnz02CGE+hp+5fPvZZl/LGMOpbN31essLt8maZcXFmSxteOPOHpjYV7cU8dHV8Ri5bJeQZTV5QBCW3t8X654cKmlNI7EAT2fsnTsWHzzQFwCQXlCJ/+w8hx8ON14ixV0SLW+RM809zNdNqOMR8d4Os+tl8L/95u47UnJUGa+xZ4wZZVzsP38NM9cdxZiPduPuz/Zj47FM/J6ke+YJ9XGV7ffLmQ6ePimqr/Duvb3x6WMDoXFWI6OwEj8ezsDaA+n4Pj4D649m4qJ+omzmiHDIzcPZAXf0DsD9gzqgm79GOO6ozj74fGoEOrfXnRNqpQJOaiVeje5mk1aBbYH8C1bITWfn6TzhY1+ZRmk9nNVCazXGmEUzOXN/NgwKyDEzyVPQ1h/NxPqjmTiaHoaBHb1w74CWpTanXClBmT6Qub1n07PD1vrkkf54+acTVgW+/PcQ4i3frKk4/ezF/yWiuLIW06PCrvuaqtoGnNanrnb1lz6wd1Ap8eRt4Vi+/WyjgHP9kQxMjwpttthXUmax8CA5oot8RYUA4PS7Mej5dmyjr0/56nCzr/ngQfnX1ZtyUquEqskPDw7Bu1sMdTr2vj4Woz6MQ35ZDWL+vVeYYeEiZSzMZCqqsw++2ncJ649mIr2gAl9MjWhyqUfC5SKjOiByLxcAgCeGh2H32TwcON940CGjUPfQxa+X7/xxyujB+5+jOsl2XDwoAoCnvj2G+Ddvb/FrxQUS5TBIX0siNacUO1KvYnwzmTjN4fVJ5KzzwNs0JWUWY96mFMwYHmbW7CL/PwzwlGdwqaO3K5KzSrBil3FB2yFh7bBy6qDrZkzxgmchMixjMCVe3uXp6oAfnhqG1zeewMELBTiXV45xH+3Gwnt6o7CiFtfKazC6W3t0au+O7OIqlFTVQa1UyHIvAa7fDvPkO3fA3UmNzUlX8GdKDspr6o3uOeN7+WNSv6BmXy8VtUqJQR2NU/IXbUnFE1GhaGAM8zalwM1RjXfu6Q2lUiEMLIqX/cnFw8VBmADo9OZWLH+4Pyb1C7phIJyYUYTUnFI4irouyYlnpVTXabFm30V4ODsIreZcHVXCcg/uddFz6gD9IKQtBXk6I6Z3ADIKK3FP/yB4uTpiTPf22JWWhzP6+7BapYSDUgEnByVu69LeaGlYa4jpE4CYPo0zDYg0KLBvg06K1l7J0d4EAOLfvB293v4LgG5Wtpu/eSOtjDGkitYr9rHBhWjdwXSsOwiE+rhh8soDGBrmjZVTBzU7k/e1qGfs1KEdm9zGWnzNcHlNPRhjyCqqQod25lUYFxeBk8vYHn5GxYHe3nzqhoH9A18cFD7uIONs0Iano3DwwjXMHBGOytp6TPp0Py4XVOKRVYfQub07dqXlIe61McLgUW5JNSavPGCTYwN0DxLx825H1NKd8HZ1bJTOG+zlgrUzh2Dm2qMY1c0XS2xQLO9GZgwPw9Bwb1TWNiDUx9VoptE0qB/Z1VeWjJvmDAkztIyMv1iIgYu2Y+n9fdEryAP9OngB0F1f5v92Utiuk68bnrTBLIajWol37umN8cv3Cl9bcn9fzNuUguSsEnz4Vxq+j8/AhF7++FmfrRTq44q/5oyy2WxGbmk1/u/nZDiqlfjnqE5YGXce649mwkmthJ+HE4aEeeONO3sIwaDcM/b+Hs64q28Atqbk4h/fHsOqaRGI7uWP/PIa1DcwPLnuKJ68LdyoMGhNfQO2puQg2MsVy/SDN32DPWU5PsDQ8m6HftD8f0cysPu1MfB2d0RNnbbZewhjDF/suYA/9FlOXf3kmZFsbm3y0fQiDH1/J3a9Ohqdmqm1wwd9WiMYCPZywY9PDcPy7WexYuc5XLxWgelfHxG+/96fp4227x6gke2Zprl2mO9N7iMMbN/ZJxDLfc7isqiIoruTWtZsG1NNdb75IDYNni4O2HRcV4zQw0WN3Wfyhd+tHNl8pr6aPtjonv/KhhNIzirBwnt6N/uamvoG3Pe57jV39w+StOtGc8QtRcXnV1QnH/zvn8Og1TL8e8dZHE3XDTjwJXtqpUK2ZRbXo1Ao8OW0CKOvaZwdWjxBRW49FNi3MaXVdVizTxeQrnhsoGw/R5zy+HtSNl67o7tZr0+4XITK2ga4OKiQ+PYEqGVu5yX28CrduuEj6YUY/WEcTr1zR6NA+uv9l/CbPv3q59lRUMrQAxsA3J10D4zl1fX4IzkHL/4vERP7BWLllEEt3gdfXypHD2zuqZGdkJhRJDzYAroWJ82NxlfW1gsDN1393CUt6meqV5CH8FCqcXbAV9MHY+KKfbiQXyFUDh79YRz+8+hArDuY3qhAznCZZ+wBXRrlgf8bBw8XB6yMO48vdhtS8B+I0KWyHXhjnOzH0VJKpQJ9TAKlBXf3wjt/pBp9zdVRJaydtRWNswMeiuggLOMBdP3tAWDriyNxpbgKs79PEIoLfTZloE1m07gufhr89twInMgsxpTIjkJ6ZFZRFVbG6X7vPKh3dlBiywu3yR7Um85E/XQsEwDwXfxl4Ws19VpkFlYhs/AK9p69hj9fvA1axnDxmm65hZwZQcsfHgCVMhl/nMjGT0czEX+xAGsPpAvfn/tzMvacyUdhRS3O5ZUJyxfE5HzQbSowGvPRbgC6md51M4dgZNfG676/PXQZy2J1Aw/hvm6ytRzrKEppf3pUJ0R19kFlbQOe/eE4AOCf3yVg64sjm7xen9KvF+8TJN/AyI28PL4rGGP4VJ9x4OGsRnlNPUwzuh8Y1EG2Y+gf4tUo/b5/iBceHxYqfO6oVmL1tMHYlJiF6F4B2J56FeN6+AkZHbagUCjw41OROHD+mnA9+WrfJaOMGv51rqMNarVEhLbD7NGdjZaXbTyWib7BnnB3VuMOfUHj/+6/hA7tXFBeXY9X9WvCAeCl27vKfoxA85NdT+gLPCqVCrwSrXue5QOI8RcK8eL4rrIu5yKkpRTM0sarbUxpaSk8PT1RUlICD4+bu8BDRU09Vsadx+XCSmHt+Pp/DoOTWimMfgJA6rt3yLbmEADC3vjT6PNF9/ZGvZbh4IUCvH9fH/hpnFFd14CrpdUI9nJBVV0Dvt6fjpHdfLHuQDp+P5GNCb38ZQsMopbsFNYsX8/TozoJBYiq6xrw/I/HhQB2aJg3NsyOkuX4AF1l78jFO6FSKjCmW3uhpcrd/YNw9FIhVk4dJLQ9a86DXxzEsctF+M+jA2QfxWWMYdCi7UKKX0RoO0yN7Ihu/hp08XMXApQ9Z/PxhH7mJWVhtKzZBE154usjN+x1/uNTkbIVwrmR97akYo0+I+TbJ4dilAzFoORQW6/F+bxy9AzU2KRF4PXUN2ixMu4CPtnR/Nrcjt6u2Dt3rA2PqrG6Bi1GL4tDdkk1FAqA35EdVUocnDfOJrNUx9IL8UFsGt6e1Bvfx18WAnsxHzdHDOzoZTR4J7bjlVHoItOMMwCczinFnf/ZZ/br1EoF3rizB2bdFi7bObkj9Sr+8e0x4XMHlUJI3+WUCqCbvwbhvm7o5q9BSVUdvou/jAYtw1Mjw/HS+G6yVdS+XFCBiSv2I9DTGdteGikMlK/Zd9FoVnL+xJ5G/0/5ZTUY8v4OAMDxf01o9XZUJZV1OHa5EKO6tYeDSomsokpM++8ReDir8eLtXTGuh59sv+Oq2gYs+ysN9w0MRod2rvg5IRMTegXYNBvJXAt/P4V1B9NvuN2x+eNtcp0BDBXkx328x2ip0fyJPbF670WjQnTc82O7mD05ZA3xs6vGWY2fZw+3SeE+Qq6npXEoBfYtZC+B/YX8ctwu6ofdnBfGdcGr0fJeKE0De1OT+gViyw2K1i2+r2+jnu5SySysbLaN3IguPiivacAJUSXmF8Z1wdf7L6FCNLP167PDMbDj9QNra9Q3aNF1/jYwBgwObWeU7s4FeDjj71dGwcPZQZgl53/WtQ1adJ+vW7+9eloEonvLv67pgS8ONtsW5qOH+mNs9/aIeE/3sPj4sI54b3Jf2Y/J1KVrFXh8zWHMGB6GaxU1WLVHV83/oYgO8HJ1wIMRIa16I9dqGeb8lASVUoFlD/YTWvAQ89Q1aPHellSUVNUJGTbc6G7tsXLqINmCKXPUN2gRdyYf/h5O6B3kia0pOQjwdDZaVmArfMlPoKczjqYXwd1Jjb4dDLO14kEnztvNEUffGi9r5g1jDCOXxQnF3ABddefPpw6ClumKoF4uqITGWY1xPfzw6NCOuJBXDg8XB/SUudpySVUdhry3A7UNWix/uD+6+Llj5+k8+Hk4YdGWVKGlYlOie/lj1bQI2QfCSqrq4OqoanQt2Xgs02idMABM7BeIYeHeOJJehD9OZKN3kAf+fHGkrMdH5HH3p/uRos+6CPZyEWoLJf5rArJLqtCgZcISJVv6z45z1x105br6uWO7qNuJLYgHRJY92M9omQ8hrYUCe4nZQ2B/Mb8c464T1Pu6O8HTRY2JfQOFVCI5rdpzocl2MC0V6uOKXa+OkfVhkVsWm4bPRenPb93VEzNGhKHrW9ua3F7OAQdTQ97fgfwmRrFNdW7vJqSWA7o0XvED5fXWUUrp18QsvPzTiRtvCODQvHGytHgyx/m8cjy+5jAiO3nj348MaPWZZiKPDUcz8eHfZ3BHb38suLs3DZZYiDGGywWVOHSxAF383HEsvQhRnX1sUjhqS3I2nv8xEU5qJb55cqhsqeuW2H0mD0WVtZg8INjoGpJdXIUzuWU4l1cGjbMDMgorUVheC2cHJYK8XDA9KkzWVos3otUy/N8vyUZLV0zNu7MHnh7d2YZHRaSyeOtprN6rG7je/doYXCmuQs9Aj1bPvigor8Hj/z0iFNAFdEss3r+vLz786wymRHbE9KhQWbNKr+ftzSeRcqUE62YMhaerbTMKCWkKBfYSs4fAvqq2AU+uO4rjGUVY9mA/9A7ykDU18kbqGrTNBsZid/cPQidfNxRU1KBPkCfe2JQCX3dHfPLIgCbXJcolo6ASoz7UzeB/8+RQjO7WHnml1Ri6eKfRdrYewZ24Yp9R1ertL4/C+bxyRIS2w/Clu1DfgtYxQ8O9seFp+ZYMiDHGkJRZjILyWhy7XITjl4vQxd8d+87lI7PQMNv27JjOmCvq7d2aLO3cQAixrZSsEni4qBHaTEE4Ypnaei2+2ncRZ3LLcOlaBWrrtQj0csbwzj6YdVsnmwywE+ldKa7CY6vjMalf4E1zv+UYY6isbcCjq+NRVdeAH/8RCT8ZWj4SciugwF5i9hDYA7oLZVlNPTxsvGa5OUUVtfhyzwV4uTrigUHB8PNwRml1HaKX70VhRS2eH9cF06NCjYrL1DVooVYqWiXQ2nA0EwmXi/DefX0azejV1DfAUaW0+XGJ24f1D/HC5udGCN+rqm3AyGW74OvuhCdHhGP/+WtCH/kpkR2hcVLDxVGFp0Z2krVPbUst3noahy8WYMn9/Vq95QohhBBCCCE3OwrsJWYvgb29qKnXrVOXqzXNrWTDsUzM/TkZvu6O2PriyOuOaDdoGeZtSkaAh7NNllsQQgghhBBC5EOBvcQosCethTGGM1fL0NVPQ+mQhBBCCCGEtCEtjUPbVPWgzz//HOHh4XB2dkZERAT27TO/dQ4htqZQKNAjwIOCekIIIYQQQkiT2kxg/9NPP2HOnDl46623kJiYiJEjR+LOO+9ERkZGax8aIYQQQgghhBBisTaTih8ZGYlBgwbhiy++EL7Ws2dPTJ48GUuWLLnh6ykVnxBCCCGEEEKILVEqvkhtbS0SEhIQHR1t9PXo6GgcPHiwydfU1NSgtLTU6B8hhBBCCCGEEHKzaROB/bVr19DQ0AB/f3+jr/v7+yM3N7fJ1yxZsgSenp7Cv5AQ2/UtJ4QQQgghhBBCWqpNBPacaf9xxlizPcnnzZuHkpIS4V9mZqYtDpEQQgghhBBCCDGLurUPwBZ8fX2hUqkazc7n5eU1msXnnJyc4OTkZIvDI4QQQgghhBBCLNYmZuwdHR0RERGB7du3G319+/btGD58eCsdFSGEEEIIIYQQYr02MWMPAK+88gqmTZuGwYMHIyoqCqtXr0ZGRgZmz57d2odGCCGEEEIIIYRYrM0E9o888ggKCgrw7rvvIicnB3369MHWrVsRGhra2odGCCGEEEIIIYRYrM30sbcW9bEnhBBCCCGEEGJL1MeeEEIIIYQQQghpAyiwJ4QQQgghhBBC7BgF9oQQQgghhBBCiB2jwJ4QQgghhBBCCLFjbaYqvrV4jcHS0tJWPhJCCCGEEEIIIW0Bjz9vVPOeAvsWKisrAwCEhIS08pEQQgghhBBCCGlLysrK4Onp2ez3qd1dC2m1WmRnZ0Oj0UChULT24dit0tJShISEIDMzk9oGklZB5yBpbXQOktZG5yC5GdB5SFqbvZyDjDGUlZUhKCgISmXzK+lpxr6FlEolOnTo0NqHccvw8PC4qf+AyK2PzkHS2ugcJK2NzkFyM6DzkLQ2ezgHrzdTz1HxPEIIIYQQQgghxI5RYE8IIYQQQgghhNgxCuyJTTk5OWHBggVwcnJq7UMhbRSdg6S10TlIWhudg+RmQOchaW232jlIxfMIIYQQQgghhBA7RjP2hBBCCCGEEEKIHaPAnhBCCCGEEEIIsWMU2BNCCCGEEEIIIXaMAntCCCGEEEIIIcSOUWBPzLZkyRIMGTIEGo0Gfn5+mDx5Ms6cOWO0DWMMCxcuRFBQEFxcXDBmzBicOnXKaJuamhq88MIL8PX1hZubG+655x5kZWUZbVNUVIRp06bB09MTnp6emDZtGoqLi+V+i+QmZ8tzULztgAEDoFAokJSUJNdbI3bClufg2bNnce+998LX1xceHh4YMWIE4uLiZH+P5OYm1Tm4evVqjBkzBh4eHlAoFI3usenp6Zg1axbCw8Ph4uKCzp07Y8GCBaitrZX7LZKbnK3OQe7PP/9EZGQkXFxc4Ovri/vvv1+ut0bshBTnYGFhIV544QV0794drq6u6NixI1588UWUlJQY7cceYhIK7InZ9uzZg+eeew7x8fHYvn076uvrER0djYqKCmGbZcuWYfny5fjss89w9OhRBAQEYMKECSgrKxO2mTNnDn799VesX78e+/fvR3l5OSZNmoSGhgZhmylTpiApKQmxsbGIjY1FUlISpk2bZtP3S24+tjwHublz5yIoKMgm74/c/Gx5Dk6cOBH19fXYtWsXEhISMGDAAEyaNAm5ubk2fc/k5iLVOVhZWYmYmBi8+eabTf6ctLQ0aLVarFq1CqdOncInn3yCL7/8stntSdthq3MQAH755RdMmzYNM2fOxIkTJ3DgwAFMmTJF1vdHbn5SnIPZ2dnIzs7GRx99hJSUFKxbtw6xsbGYNWuW0c+yi5iEEWKlvLw8BoDt2bOHMcaYVqtlAQEBbOnSpcI21dXVzNPTk3355ZeMMcaKi4uZg4MDW79+vbDNlStXmFKpZLGxsYwxxlJTUxkAFh8fL2xz6NAhBoClpaXZ4q0ROyHXOcht3bqV9ejRg506dYoBYImJifK/KWJX5DoH8/PzGQC2d+9eYZvS0lIGgO3YscMWb43YCUvOQbG4uDgGgBUVFd3wZy1btoyFh4dLduzk1iDXOVhXV8eCg4PZmjVrZD1+Yv+sPQe5DRs2MEdHR1ZXV8cYs5+YhGbsidV4qoq3tzcA4NKlS8jNzUV0dLSwjZOTE0aPHo2DBw8CABISElBXV2e0TVBQEPr06SNsc+jQIXh6eiIyMlLYZtiwYfD09BS2IQSQ7xwEgKtXr+Kpp57Cd999B1dXV1u8HWKH5DoHfXx80LNnT3z77beoqKhAfX09Vq1aBX9/f0RERNjq7RE7YMk5aM3P4j+HEE6uc/D48eO4cuUKlEolBg4ciMDAQNx5552NUvoJkeocLCkpgYeHB9RqNQD7iUkosCdWYYzhlVdewW233YY+ffoAgJAe6u/vb7Stv7+/8L3c3Fw4OjqiXbt2193Gz8+v0c/08/OjFFQikPMcZIxhxowZmD17NgYPHiz3WyF2Ss5zUKFQYPv27UhMTIRGo4GzszM++eQTxMbGwsvLS+Z3RuyFpeegJS5cuIBPP/0Us2fPtvyAyS1HznPw4sWLAICFCxdi/vz52LJlC9q1a4fRo0ejsLBQondA7J1U52BBQQEWLVqEp59+WviavcQk6tY+AGLfnn/+eSQnJ2P//v2NvqdQKIw+Z4w1+pop022a2r4l+yFth5zn4KefforS0lLMmzdPugMmtxw5z0HGGJ599ln4+flh3759cHFxwZo1azBp0iQcPXoUgYGB0r0RYrekPgebk52djZiYGDz00EP4xz/+YdE+yK1JznNQq9UCAN566y088MADAIC1a9eiQ4cO2Lhxo1EARtouKc7B0tJSTJw4Eb169cKCBQuuu4/r7ae10Iw9sdgLL7yA33//HXFxcejQoYPw9YCAAABoNIKVl5cnjJgFBASgtrYWRUVF193m6tWrjX5ufn5+o5E30jbJfQ7u2rUL8fHxcHJyglqtRpcuXQAAgwcPxhNPPCHb+yL2wxbn4JYtW7B+/XqMGDECgwYNwueffw4XFxd88803cr41YiesOQfNkZ2djbFjxyIqKgqrV6+27qDJLUXuc5APYPbq1Uv4mpOTEzp16oSMjAxrDp3cIqQ4B8vKyhATEwN3d3f8+uuvcHBwMNqPPcQkFNgTszHG8Pzzz2PTpk3YtWsXwsPDjb4fHh6OgIAAbN++XfhabW0t9uzZg+HDhwMAIiIi4ODgYLRNTk4OTp48KWwTFRWFkpISHDlyRNjm8OHDKCkpEbYhbZOtzsEVK1bgxIkTSEpKQlJSErZu3QoA+Omnn/D+++/L/TbJTcxW52BlZSUAQKk0vl0rlUphFou0TVKcgy115coVjBkzBoMGDcLatWsbnY+kbbLVORgREQEnJyejNmZ1dXVIT09HaGio9W+E2C2pzsHS0lJER0fD0dERv//+O5ydnY32Yzcxic3K9JFbxjPPPMM8PT3Z7t27WU5OjvCvsrJS2Gbp0qXM09OTbdq0iaWkpLDHHnuMBQYGstLSUmGb2bNnsw4dOrAdO3aw48ePs3HjxrH+/fuz+vp6YZuYmBjWr18/dujQIXbo0CHWt29fNmnSJJu+X3LzseU5KHbp0iWqik8YY7Y7B/Pz85mPjw+7//77WVJSEjtz5gx77bXXmIODA0tKSrL5+yY3D6nOwZycHJaYmMi++uoroQNDYmIiKygoYIzpOjV06dKFjRs3jmVlZRn9LNK22eocZIyxl156iQUHB7O//vqLpaWlsVmzZjE/Pz9WWFho0/dMbi5SnIOlpaUsMjKS9e3bl50/f95oP/YWk1BgT8wGoMl/a9euFbbRarVswYIFLCAggDk5ObFRo0axlJQUo/1UVVWx559/nnl7ezMXFxc2adIklpGRYbRNQUEBmzp1KtNoNEyj0bCpU6e2qBUPubXZ8hwUo8CecLY8B48ePcqio6OZt7c302g0bNiwYWzr1q22eJvkJibVObhgwYLr7mft2rXN/izSttnqHGSMsdraWvbqq68yPz8/ptFo2Pjx49nJkydt9E7JzUqKc5C3WWzq36VLl4Tt7CEmUTDGmBQz/4QQQgghhBBCCLE9WiRFCCGEEEIIIYTYMQrsCSGEEEIIIYQQO0aBPSGEEEIIIYQQYscosCeEEEIIIYQQQuwYBfaEEEIIIYQQQogdo8CeEEIIIYQQQgixYxTYE0IIIYQQQgghdowCe0IIIYQQQgghxI5RYE8IIYQQQgghhNgxCuwJIYQQckMzZsyAQqGAQqGAg4MD/P39MWHCBHz99dfQarUt3s+6devg5eUl34ESQgghbRAF9oQQQghpkZiYGOTk5CA9PR3btm3D2LFj8dJLL2HSpEmor69v7cMjhBBC2iwK7AkhhBDSIk5OTggICEBwcDAGDRqEN998E5s3b8a2bduwbt06AMDy5cvRt29fuLm5ISQkBM8++yzKy8sBALt378bMmTNRUlIizP4vXLgQAFBbW4u5c+ciODgYbm5uiIyMxO7du1vnjRJCCCF2hgJ7QgghhFhs3Lhx6N+/PzZt2gQAUCqVWLFiBU6ePIlvvvkGu3btwty5cwEAw4cPx7///W94eHggJycHOTk5eO211wAAM2fOxIEDB7B+/XokJyfjoYceQkxMDM6dO9dq740QQgixFwrGGGvtgyCEEELIzW3GjBkoLi7Gb7/91uh7jz76KJKTk5Gamtroexs3bsQzzzyDa9euAdCtsZ8zZw6Ki4uFbS5cuICuXbsiKysLQUFBwtfHjx+PoUOHYvHixZK/H0IIIeRWom7tAyCEEEKIfWOMQaFQAADi4uKwePFipKamorS0FPX19aiurkZFRQXc3NyafP3x48fBGEO3bt2Mvl5TUwMfHx/Zj58QQgixdxTYE0IIIcQqp0+fRnh4OC5fvoy77roLs2fPxqJFi+Dt7Y39+/dj1qxZqKura/b1Wq0WKpUKCQkJUKlURt9zd3eX+/AJIYQQu0eBPSGEEEIstmvXLqSkpODll1/GsWPHUF9fj48//hhKpa6Mz4YNG4y2d3R0RENDg9HXBg4ciIaGBuTl5WHkyJE2O3ZCCCHkVkGBPSGEEEJapKamBrm5uWhoaMDVq1cRGxuLJUuWYNKkSZg+fTpSUlJQX1+PTz/9FHfffTcOHDiAL7/80mgfYWFhKC8vx86dO9G/f3+4urqiW7dumDp1KqZPn46PP/4YAwcOxLVr17Br1y707dsXd911Vyu9Y0IIIcQ+UFV8QgghhLRIbGwsAgMDERYWhpiYGMTFxWHFihXYvHkzVCoVBgwYgOXLl+ODDz5Anz598MMPP2DJkiVG+xg+fDhmz56NRx55BO3bt8eyZcsAAGvXrsX06dPx6quvonv37rjnnntw+PBhhISEtMZbJYQQQuwKVcUnhBBCCCGEEELsGM3YE0IIIYQQQgghdowCe0IIIYQQQgghxI5RYE8IIYQQQgghhNgxCuwJIYQQQgghhBA7RoE9IYQQQgghhBBixyiwJ4QQQgghhBBC7BgF9oQQQgghhBBCiB2jwJ4QQgghhBBCCLFjFNgTQgghhBBCCCF2jAJ7QgghhBBCCCHEjlFgTwghhBBCCCGE2LH/Bwho/wPRNX+nAAAAAElFTkSuQmCC",
+      "text/plain": [
+       "<Figure size 1200x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot q_obs\n",
+    "\n",
+    "plt.figure(figsize=(12, 5))\n",
+    "plt.plot(q_obs[\"Date\"], q_obs[\"discharge_m3s\"])\n",
+    "\n",
+    "plt.xlabel(\"Date\")\n",
+    "plt.ylabel(\"Discharge (m³/s)\")\n",
+    "plt.title(\"Observed daily discharge at 07DA001\")\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a48b5085-6478-4cf2-bd02-75b75f82e90f",
+   "metadata": {},
+   "source": [
+    "### Generate/Load ERA5 data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "77e79b20-3e4d-405a-bd88-16bdc50bdb39",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">LumpedMakkinkForcing</span><span style=\"font-weight: bold\">(</span>\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">start_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'1999-01-01T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">end_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'2019-12-31T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">directory</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1999-2019'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">shape</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">filenames</span>=<span style=\"font-weight: bold\">{</span>\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'evspsblpot'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1999_2019_evspsblpot.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'pr'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1999_2019_pr.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'rsds'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1999_2019_rsds.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'tas'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1999_2019_tas.nc'</span>\n",
+       "    <span style=\"font-weight: bold\">}</span>\n",
+       "<span style=\"font-weight: bold\">)</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1;35mLumpedMakkinkForcing\u001b[0m\u001b[1m(\u001b[0m\n",
+       "    \u001b[33mstart_time\u001b[0m=\u001b[32m'1999-01-01T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mend_time\u001b[0m=\u001b[32m'2019-12-31T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mdirectory\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1999-2019'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mshape\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mfilenames\u001b[0m=\u001b[1m{\u001b[0m\n",
+       "        \u001b[32m'evspsblpot'\u001b[0m: \u001b[32m'combined_ERA5_1999_2019_evspsblpot.nc'\u001b[0m,\n",
+       "        \u001b[32m'pr'\u001b[0m: \u001b[32m'combined_ERA5_1999_2019_pr.nc'\u001b[0m,\n",
+       "        \u001b[32m'rsds'\u001b[0m: \u001b[32m'combined_ERA5_1999_2019_rsds.nc'\u001b[0m,\n",
+       "        \u001b[32m'tas'\u001b[0m: \u001b[32m'combined_ERA5_1999_2019_tas.nc'\u001b[0m\n",
+       "    \u001b[1m}\u001b[0m\n",
+       "\u001b[1m)\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Generate ERA5 data\n",
+    "# ERA5_forcing = ewatercycle.forcing.sources['LumpedMakkinkForcing'].generate(\n",
+    "#     dataset=\"ERA5\",\n",
+    "#     start_time=experiment_start_date,\n",
+    "#     end_time=experiment_end_date,\n",
+    "#     shape=shape_file,\n",
+    "# )\n",
+    "\n",
+    "# Load data\n",
+    "\n",
+    "ERA5_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=forcing_path_ERA5)\n",
+    "\n",
+    "print(ERA5_forcing)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "09f9dfb3-40c9-4689-98b8-fd1ea8fd72d1",
+   "metadata": {},
+   "source": [
+    "### Load parameter sets & initial storages"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "ca2be146-1112-4806-a44f-d57ebd4442c9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load calibration constants\n",
+    "\n",
+    "# par_0 = [4.45787, 0.42307, 201.57602, 2.36497, 0.26755, 8.62964, 0.083568, 0.0037073, 0.29645]\n",
+    "# par_0 = [2.79874, 0.49211, 255.96478, 1.782968, 0.503199, 6.095956, 0.33279, 0.10539, 0.63857]\n",
+    "# par_0 = [6.279135, 0.4808243, 174.127749, 1.9527195, 0.3305087, 6.19919, 0.0768362, 0.004366398, 0.4076606]         # 0.725 val, 0.x cal - Fav run 2\n",
+    "# par_0 = [6.28908, 0.423917, 173.56627, 1.63144, 0.402586, 6.56151, 0.0456809, 0.00313744, 0.516696]                 # 0.702 val, 0.x cal\n",
+    "# par_0 = [6.4919, 0.386877, 221.78625, 1.388269, 0.276453, 4.9870704, 0.04126777, 0.05640195, 1.148877]              # 0.668 val, 0.x cal\n",
+    "# par_0 = [7.502398, 0.38028, 194.1899, 1.680197, 0.47956, 4.8566806, 0.041745354, 0.02833896, 1.051862]              # 0.677 val, 0.x cal\n",
+    "# par_0 = [5.5464, 0.46496, 187.8548, 1.82803, 0.440628, 6.29496, 0.062766, 0.033095, 0.80392]                        # 0.781 val, 0.776 cal\n",
+    "# par_0 = [6.16512, 0.4369419, 151.2515900, 1.727835, 0.3771705, 6.19265974, 0.06959136, 0.001310818, 0.8130732]      # 0.664 val, 0.791 cal\n",
+    "# par_0 = [5.7107, 0.441634, 172.81305, 1.87367, 0.588802, 5.498147, 0.060305, 0.019666, 1.2011814]                    # x val, 0.73 cal         Start of 5+ months exclusion\n",
+    "# par_0 = [7.35776, 0.432509, 192.67085, 1.66088, 0.289296, 5.323766, 0.037268, 0.004399, 1.146504]                    # 0.82 val, 0.818 cal - Fav run 1      \n",
+    "# par_0 = [7.23868, 0.47495, 181.82012, 1.8232, 0.4884032, 5.546412, 0.0449439, 0.00231717, 1.25052]                    #  val,  0.77 cal    \n",
+    "# par_0 = [7.9355, 0.4593, 219.6962, 1.72624, 0.26391, 5.810765, 0.04804, 0.0155065, 0.76857]                           # 0.78 val, 0.71 cal - potential inclusion\n",
+    "\n",
+    "par_ensemble = [\n",
+    "    [6.279135, 0.4808243, 174.127749, 1.9527195, 0.3305087, 6.19919, 0.0768362, 0.004366398, 0.4076606],\n",
+    "    [7.35776, 0.432509, 192.67085, 1.66088, 0.289296, 5.323766, 0.037268, 0.004399, 1.146504],\n",
+    "    [7.9355, 0.4593, 219.6962, 1.72624, 0.26391, 5.810765, 0.04804, 0.0155065, 0.76857],\n",
+    "    [5.5464, 0.46496, 187.8548, 1.82803, 0.440628, 6.29496, 0.062766, 0.033095, 0.80392],\n",
+    "   [7.23868, 0.47495, 181.82012, 1.8232, 0.4884032, 5.546412, 0.0449439, 0.00231717, 1.25052]\n",
+    "]\n",
+    "\n",
+    "\n",
+    "par_names = [\"Imax\",         # Maximum interception storage\n",
+    "               \"Ce\",         # Evaporation correction factor\n",
+    "               \"Sumax\",      # Maximum soil moisture storage\n",
+    "               \"Beta\",       # Soil runoff parameter\n",
+    "               \"Pmax\",       # Maximum percolation rate\n",
+    "               \"Tlag\",       # Time lag\n",
+    "               \"Kf\",         # Fast reservoir recession coefficient\n",
+    "               \"Ks\",         # Slow reservoir recession coefficient\n",
+    "               \"FM\"          # Snowmelt factor\n",
+    "               ]\n",
+    "\n",
+    "# Initial: par_0 = [5.085, 0.55, 100.373, 1.612, 0.545, 3.801, 0.196, 0.00, 0.185]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "d5e5bcb4-bf90-470b-90ed-4a0b9d80c35d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Storages\n",
+    "\n",
+    "#               Si,  Su, Sf, Ss, Sp\n",
+    "s_0 = np.array([0,  100,  0,  5,  0])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "06c977b4-ba9d-4e82-8415-42180eac9f01",
+   "metadata": {},
+   "source": [
+    "## 2. Model setup"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "055bdbc8-af1f-41ac-ad1d-b4da4d6785f6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def run_hbv(parameters, initial_storages, forcing):\n",
+    "\n",
+    "    # Creating model object\n",
+    "    model = ewatercycle.models.HBV(forcing=forcing)\n",
+    "\n",
+    "    # Creating config file\n",
+    "    config_file, _ = model.setup(\n",
+    "        parameters=parameters,\n",
+    "        initial_storages=initial_storages,\n",
+    "        cfg_dir=hbv_config\n",
+    "    )\n",
+    "\n",
+    "    # Initialising model\n",
+    "    model.initialize(config_file)\n",
+    "\n",
+    "    # Define & update outputs\n",
+    "    Q_m = []\n",
+    "    time = []\n",
+    "\n",
+    "    while model.time < model.end_time:\n",
+    "        model.update()\n",
+    "        Q_m.append(model.get_value(\"Q\")[0])\n",
+    "        time.append(pd.Timestamp(model.time_as_datetime))\n",
+    "\n",
+    "    model.finalize()\n",
+    "\n",
+    "    # Convert mm/day to m3/s\n",
+    "    model_output_mmday = pd.Series(\n",
+    "        data=Q_m,\n",
+    "        index=time,\n",
+    "        name=\"Modelled discharge\"\n",
+    "    )\n",
+    "\n",
+    "    model_output_m3s = model_output_mmday * basin_size * 1000 / 86400\n",
+    "\n",
+    "    return model_output_m3s"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "650daf1f-e90f-4b5b-aac5-eca8965de7cf",
+   "metadata": {},
+   "source": [
+    "## 3. Running model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "44092959-524a-4330-a274-77cfad0eacd6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def run_hbv_ensemble(par_ensemble, initial_storages, forcing):\n",
+    "\n",
+    "    # Define amount of parameter sets\n",
+    "    N = len(par_ensemble)\n",
+    "    \n",
+    "    # Create dataframe to append data to & add column for observed data\n",
+    "    ensemble_data = pd.DataFrame()\n",
+    "\n",
+    "    for i in range(N):\n",
+    "\n",
+    "        print(f\"Running parameter set {i+1}/{N}\")\n",
+    "\n",
+    "        # Run HBV model for the parameter sets \n",
+    "        simulated = run_hbv(\n",
+    "            parameters=par_ensemble[i],\n",
+    "            initial_storages=initial_storages,\n",
+    "            forcing=forcing\n",
+    "        )\n",
+    "\n",
+    "        # Filter data by day only, not by day & time to prevent alignment issues\n",
+    "        simulated_daily = simulated\n",
+    "\n",
+    "        simulated_daily.index = pd.to_datetime(simulated_daily.index).tz_localize(None).normalize()\n",
+    "        simulated_daily.name = f\"Set {i+1}\"\n",
+    "         \n",
+    "        # Append new column for every parameter set results\n",
+    "        ensemble_data[f\"Set {i+1}\"] = simulated\n",
+    "\n",
+    "    # Filter observed data by day\n",
+    "    observed_daily = observed_output\n",
+    "    observed_daily.index = pd.to_datetime(observed_daily.index).tz_localize(None).normalize()\n",
+    "\n",
+    "    # Add mean of all sets\n",
+    "    ensemble_data[\"Mean\"] = ensemble_data.mean(axis=1)\n",
+    "    ensemble_data['Observed discharge'] = observed_daily\n",
+    "\n",
+    "    return ensemble_data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "079368de-30cf-491f-8cc9-2021f6a4bfa6",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m1\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m2\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m3\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m4\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m5\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Set 1</th>\n",
+       "      <th>Set 2</th>\n",
+       "      <th>Set 3</th>\n",
+       "      <th>Set 4</th>\n",
+       "      <th>Set 5</th>\n",
+       "      <th>Mean</th>\n",
+       "      <th>Observed discharge</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1999-01-02</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>103.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1999-01-03</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>101.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1999-01-04</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>103.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1999-01-05</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>105.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1999-01-06</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>108.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            Set 1  Set 2  Set 3  Set 4  Set 5  Mean  Observed discharge\n",
+       "1999-01-02    0.0    0.0    0.0    0.0    0.0   0.0               103.0\n",
+       "1999-01-03    0.0    0.0    0.0    0.0    0.0   0.0               101.0\n",
+       "1999-01-04    0.0    0.0    0.0    0.0    0.0   0.0               103.0\n",
+       "1999-01-05    0.0    0.0    0.0    0.0    0.0   0.0               105.0\n",
+       "1999-01-06    0.0    0.0    0.0    0.0    0.0   0.0               108.0"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ensemble_data = run_hbv_ensemble(\n",
+    "    par_ensemble=par_ensemble,\n",
+    "    initial_storages=s_0,\n",
+    "    forcing=ERA5_forcing\n",
+    ")\n",
+    "\n",
+    "ensemble_data.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "96d6162f-f432-4dfc-9194-f522a2e6a6da",
+   "metadata": {},
+   "source": [
+    "## 4. LNSE Calculation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "37567a9e-dff3-4c80-84e0-572a6ed72b68",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Calculate log NSE\n",
+    "\n",
+    "def LNSE(sim, obs):\n",
+    "    \n",
+    "    sim = sim.to_numpy()\n",
+    "    obs = obs.to_numpy()\n",
+    "\n",
+    "    # Avoid log(0)\n",
+    "    eps = 0.00000000001\n",
+    "\n",
+    "    log_sim = np.log(sim + eps)\n",
+    "    log_obs = np.log(obs + eps)\n",
+    "\n",
+    "    return 1 - np.sum((log_obs - log_sim) ** 2) / np.sum((log_obs - np.mean(log_obs)) ** 2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "dc7850a4-dc30-4aa7-8719-4f810760c320",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Call log NSE for relevant timeperiod\n",
+    "\n",
+    "def lnse_ensemble(ensemble_data, lnse_start, lnse_end):\n",
+    "\n",
+    "    # Select evaluation period - skip first year for storages to fill\n",
+    "    combined_data = ensemble_data[\n",
+    "        (ensemble_data.index >= lnse_start) &\n",
+    "        (ensemble_data.index <= lnse_end)\n",
+    "    ].dropna()\n",
+    "\n",
+    "    # Exclude winter months\n",
+    "    combined_data = combined_data[\n",
+    "        ~combined_data.index.month.isin([12, 1, 2, 3, 4])\n",
+    "    ]\n",
+    "\n",
+    "    lnse_results = []\n",
+    "\n",
+    "    # Calculate LNSE for all sets\n",
+    "    for i in range(len(par_ensemble)):\n",
+    "        lnse_value = LNSE(\n",
+    "            combined_data[f\"Set {i+1}\"],\n",
+    "            combined_data[\"Observed discharge\"]\n",
+    "        )\n",
+    "\n",
+    "        # Append LNSE\n",
+    "        lnse_results.append({\n",
+    "            \"Set\": f\"Set {i+1}\",\n",
+    "            \"LNSE\": lnse_value\n",
+    "        })\n",
+    "\n",
+    "    # Calculate LNSE of ensemble mean\n",
+    "    mean_lnse = LNSE(\n",
+    "        combined_data[\"Mean\"],\n",
+    "        combined_data[\"Observed discharge\"]\n",
+    "    )\n",
+    "\n",
+    "    # Append LNSE\n",
+    "    lnse_results.append({\n",
+    "        \"Set\": \"Ensemble mean\",\n",
+    "        \"LNSE\": mean_lnse\n",
+    "    })\n",
+    "\n",
+    "    lnse_results = pd.DataFrame(lnse_results)\n",
+    "\n",
+    "    return lnse_results"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "80962ebd-6ad7-48ce-b378-acd68ed03a1e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Set</th>\n",
+       "      <th>LNSE</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Set 1</td>\n",
+       "      <td>0.644561</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Set 2</td>\n",
+       "      <td>0.716547</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Set 3</td>\n",
+       "      <td>0.708634</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Set 4</td>\n",
+       "      <td>0.661621</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Set 5</td>\n",
+       "      <td>0.677477</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>Ensemble mean</td>\n",
+       "      <td>0.739374</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "             Set      LNSE\n",
+       "0          Set 1  0.644561\n",
+       "1          Set 2  0.716547\n",
+       "2          Set 3  0.708634\n",
+       "3          Set 4  0.661621\n",
+       "4          Set 5  0.677477\n",
+       "5  Ensemble mean  0.739374"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "lnse_results = lnse_ensemble(\n",
+    "    ensemble_data=ensemble_data,\n",
+    "    lnse_start=evaluation_start,\n",
+    "    lnse_end=validation_end_date\n",
+    ")\n",
+    "\n",
+    "lnse_results"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d9b6a719-39c6-4872-87ff-cdb65d853e42",
+   "metadata": {},
+   "source": [
+    "## 5. Display results"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "f519854a-a994-44fd-a428-4d0c6daa98e1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def plot_ensemble(ensemble_data, plot_start, plot_end):\n",
+    "\n",
+    "    plot_start = pd.to_datetime(plot_start)\n",
+    "    plot_end = pd.to_datetime(plot_end)\n",
+    "\n",
+    "    # Filter data to start & end time\n",
+    "    plot_data = ensemble_data[\n",
+    "        (ensemble_data.index >= plot_start) &\n",
+    "        (ensemble_data.index <= plot_end)\n",
+    "    ].dropna()\n",
+    "\n",
+    "    # Define figure\n",
+    "    plt.figure()\n",
+    "    plt.figure(figsize=(20, 8))\n",
+    "\n",
+    "    # Plot sets, observed data, ensemble mean and axhline, respectively\n",
+    "    for i in range(len(par_ensemble)):\n",
+    "        plt.plot(plot_data.index, plot_data[f\"Set {i+1}\"], color=\"orange\", alpha=0.3, label=\"Parameter sets\" if i == 0 else None)\n",
+    "\n",
+    "    plt.plot(plot_data.index, plot_data[\"Observed discharge\"], label=\"Observed discharge\", linewidth=3)\n",
+    "    plt.plot(plot_data.index, plot_data[\"Mean\"], label=\"Ensemble mean\", linewidth=3)\n",
+    "    plt.axhline(y=q_critical, linestyle=\":\", color=\"black\", label=f\"Critical discharge ({q_critical} m³/s)\")\n",
+    "\n",
+    "    # Extras\n",
+    "    plt.xlabel(\"Date\")\n",
+    "    plt.ylabel(\"Discharge (m³/s)\")\n",
+    "    plt.title(\"Observed vs modelled ensemble discharge at 07DA001\")\n",
+    "    plt.legend()\n",
+    "    plt.grid(True)\n",
+    "\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "f1bb58f8-3dee-43eb-abc8-4af333b5d064",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 640x480 with 0 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 2000x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot for full evaluation period\n",
+    "\n",
+    "plot_ensemble(\n",
+    "    ensemble_data=ensemble_data,\n",
+    "    plot_start=evaluation_start,\n",
+    "    plot_end=validation_end_date\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "b835010a-b272-46b7-9c20-b0db1a99506b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 640x480 with 0 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 2000x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot for selected year\n",
+    "\n",
+    "selected_year = 2012\n",
+    "\n",
+    "plot_ensemble(\n",
+    "    ensemble_data=ensemble_data,\n",
+    "    plot_start=pd.to_datetime(f\"{selected_year}-01-01\"),\n",
+    "    plot_end=pd.to_datetime(f\"{selected_year}-12-31\")\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d017577d-79da-4a97-9522-81f4c307f3aa",
+   "metadata": {},
+   "source": [
+    "## 6. Lowflow calculation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "dcc14e37-5aea-4b00-ae71-32b68ee03d4a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def lowflow_counter_ensemble(ensemble_data, start_date, end_date):\n",
+    "    \n",
+    "    lowflow_days = []\n",
+    "\n",
+    "    years = list(range(start_date.year, end_date.year + 1))\n",
+    "\n",
+    "    for i in range(len(years)):\n",
+    "    \n",
+    "        year = years[i]\n",
+    "    \n",
+    "        # Define start and end month-day\n",
+    "        year_start = pd.to_datetime(f\"{year}-05-18\")\n",
+    "        year_end = pd.to_datetime(f\"{year}-10-17\")\n",
+    "    \n",
+    "        year_data = ensemble_data[\n",
+    "            (ensemble_data.index >= year_start) &\n",
+    "            (ensemble_data.index <= year_end)\n",
+    "        ]\n",
+    "\n",
+    "        # Set zeros to count from\n",
+    "        observed_lowflow_days = 0\n",
+    "        modelled_lowflow_days = []\n",
+    "        modelmean_lowflow_days = 0\n",
+    "\n",
+    "        # Count observed lowflow days\n",
+    "        for j in range(len(year_data)):\n",
+    "\n",
+    "            observed_q = year_data.iloc[j][\"Observed discharge\"]\n",
+    "\n",
+    "            if observed_q < q_critical:\n",
+    "                observed_lowflow_days += 1\n",
+    "\n",
+    "        # Count model mean lowflow days\n",
+    "        for j in range(len(year_data)):\n",
+    "\n",
+    "            modelmean_q = year_data.iloc[j][\"Mean\"]\n",
+    "\n",
+    "            if modelmean_q < q_critical:\n",
+    "                modelmean_lowflow_days += 1\n",
+    "\n",
+    "        # Count modelled lowflow days\n",
+    "        for j in range(len(par_ensemble)):\n",
+    "\n",
+    "            set_lowflow_days = 0\n",
+    "\n",
+    "            for k in range(len(year_data)):\n",
+    "\n",
+    "                set_q = year_data.iloc[k][f\"Set {j+1}\"]\n",
+    "\n",
+    "                if set_q < q_critical:\n",
+    "                    set_lowflow_days += 1\n",
+    "\n",
+    "            modelled_lowflow_days.append(set_lowflow_days)\n",
+    "\n",
+    "        setavg_lowflow_days = np.mean(modelled_lowflow_days)\n",
+    "        \n",
+    "        lowflow_days.append({\n",
+    "            \"year\": year,\n",
+    "            \"observed\": observed_lowflow_days,\n",
+    "            \"modelmean\": modelmean_lowflow_days,\n",
+    "            \"set_1\": modelled_lowflow_days[0],\n",
+    "            \"set_2\": modelled_lowflow_days[1],\n",
+    "            \"set_3\": modelled_lowflow_days[2],\n",
+    "            \"set_4\": modelled_lowflow_days[3],\n",
+    "            \"set_5\": modelled_lowflow_days[4],\n",
+    "            \"set_avg\": np.round(setavg_lowflow_days)\n",
+    "        })\n",
+    "\n",
+    "    lowflow_days = pd.DataFrame(lowflow_days)\n",
+    "\n",
+    "    return lowflow_days"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "7460b853-5619-44c9-ac89-3c6fc099bde6",
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "NameError",
+     "evalue": "name 'ensemble_data' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[2], line 2\u001b[0m\n\u001b[1;32m      1\u001b[0m lowflow_counter_ensemble(\n\u001b[0;32m----> 2\u001b[0m     ensemble_data\u001b[38;5;241m=\u001b[39m\u001b[43mensemble_data\u001b[49m,\n\u001b[1;32m      3\u001b[0m     start_date\u001b[38;5;241m=\u001b[39mevaluation_start,\n\u001b[1;32m      4\u001b[0m     end_date\u001b[38;5;241m=\u001b[39mvalidation_end_date\n\u001b[1;32m      5\u001b[0m )\n",
+      "\u001b[0;31mNameError\u001b[0m: name 'ensemble_data' is not defined"
+     ]
+    }
+   ],
+   "source": [
+    "lowflow_counter_ensemble(\n",
+    "    ensemble_data=ensemble_data,\n",
+    "    start_date=evaluation_start,\n",
+    "    end_date=validation_end_date\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "02d8a545-838c-4da5-9935-22f34d49f4ee",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4dd215db-3fbe-44fa-9c07-26f13e64d255",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7a08ca3c-9f66-4797-b4eb-7943785f512d",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "efc2756c-f047-4ae1-a491-583e46612a75",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step5_QDM_Experiment3.ipynb b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step5_QDM_Experiment3.ipynb
new file mode 100644
index 00000000..5723493c
--- /dev/null
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step5_QDM_Experiment3.ipynb
@@ -0,0 +1,2057 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "6dc674b5-d3fe-40e6-80e3-ed1f78221490",
+   "metadata": {},
+   "source": [
+    "# 2. Quantile delta mapping of CMIP6 forcing\n",
+    "\n",
+    "This notebook applies **monthly quantile delta mapping (QDM)** to historical CMIP6 forcing.\n",
+    "\n",
+    "For now, the target period is also historical CMIP6 **1995–2014**. This is useful for testing whether bias-corrected CMIP6 forcing improves the HBV discharge output.\n",
+    "\n",
+    "Inputs:\n",
+    "\n",
+    "- ERA5 forcing 1995–2014 = reference\n",
+    "- CMIP6 historical forcing 1995–2014 = historical model\n",
+    "- CMIP6 historical forcing 1995–2014 = target model for testing\n",
+    "\n",
+    "Output:\n",
+    "\n",
+    "- Corrected CMIP6 forcing folder: `CMIP6-QDM-historical-1995-2014`"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7c03cdaf-99e5-46d8-ba07-2843f1c07fc2",
+   "metadata": {},
+   "source": [
+    "## 1. Startup"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 108,
+   "id": "43b2105a-222a-467b-90ae-1733bd907045",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# pip install python-cmethods"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 109,
+   "id": "1fb67b48-9bc2-4150-b724-c1d26291db0b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\", category=UserWarning)\n",
+    "\n",
+    "import numpy as np\n",
+    "from pathlib import Path\n",
+    "import pandas as pd\n",
+    "import xarray as xr\n",
+    "import yaml\n",
+    "from cmethods import adjust\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "\n",
+    "from rich import print"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 110,
+   "id": "6a8d479a-11bd-453b-b1fd-5a454f46770c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import ewatercycle\n",
+    "import ewatercycle.forcing"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 111,
+   "id": "05206528-dd3b-45ef-a538-be2dcba07085",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "start_year = 1995\n",
+    "end_year = 2014\n",
+    "\n",
+    "Scenario = \"historical\""
+   ]
+  },
+  {
+   "cell_type": "raw",
+   "id": "56e6454a-306c-44fa-86c5-2ef6afcc389c",
+   "metadata": {},
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 112,
+   "id": "eeedfb4b-e1f4-4fbb-b5ba-de342f59bddf",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">ERA5-1995-2014</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/\u001b[0m\u001b[95mERA5-1995-2014\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6-1995-2014</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/\u001b[0m\u001b[95mCMIP6-1995-2014\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6-QDM-1995-2014</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/\u001b[0m\u001b[95mCMIP6-QDM-1995-2014\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Defining paths\n",
+    "\n",
+    "forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / f\"ERA5-{start_year}-{end_year}\"\n",
+    "\n",
+    "forcing_path_CMIP = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / \"historical\" / f\"CMIP6-{start_year}-{end_year}\"\n",
+    "\n",
+    "forcing_path_CMIP_target = forcing_path_CMIP\n",
+    "forcing_path_CMIP_hist = forcing_path_CMIP\n",
+    "\n",
+    "forcing_path_QDM = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / \"historical\" / f\"CMIP6-QDM-{start_year}-{end_year}\"\n",
+    "forcing_path_QDM.mkdir(parents=True, exist_ok=True)\n",
+    "\n",
+    "shape_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "\n",
+    "var_names = [\"pr\", \"tas\", \"rsds\", \"evspsblpot\"]\n",
+    "\n",
+    "print(forcing_path_ERA5)\n",
+    "print(forcing_path_CMIP_hist)\n",
+    "print(forcing_path_QDM)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "540c0e8c-52ab-4f28-be4e-ccccb35d7d31",
+   "metadata": {},
+   "source": [
+    "## 2. Helper functions for loading forcing variables"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 113,
+   "id": "2f524b1b-ee16-49d9-ba70-0bd783d18895",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def find_file_for_var(folder, var_name):\n",
+    "\n",
+    "    folder = Path(folder)\n",
+    "\n",
+    "    # First try exact final variable pattern, then broader search\n",
+    "    matches = list(folder.glob(f\"*_{var_name}.nc\"))\n",
+    "\n",
+    "    if len(matches) == 0:\n",
+    "        matches = list(folder.glob(f\"*{var_name}*.nc\"))\n",
+    "\n",
+    "    if len(matches) == 0:\n",
+    "        raise FileNotFoundError(f\"No NetCDF file found for {var_name} in {folder}\")\n",
+    "\n",
+    "    if len(matches) > 1:\n",
+    "        print(f\"Multiple files found for {var_name}, using first:\")\n",
+    "        for match in matches:\n",
+    "            print(\" -\", match.name)\n",
+    "\n",
+    "    return matches[0]\n",
+    "\n",
+    "\n",
+    "def get_dataarray(dataset, preferred_name):\n",
+    "\n",
+    "    if preferred_name in dataset.data_vars:\n",
+    "        return dataset[preferred_name]\n",
+    "\n",
+    "    first_var = list(dataset.data_vars)[0]\n",
+    "    print(f\"Variable {preferred_name} not found, using {first_var} instead.\")\n",
+    "    return dataset[first_var]\n",
+    "\n",
+    "\n",
+    "def load_variable(folder, var_name):\n",
+    "\n",
+    "    file_path = find_file_for_var(folder, var_name)\n",
+    "\n",
+    "    ds = xr.open_dataset(file_path)\n",
+    "    da = get_dataarray(ds, var_name).squeeze()\n",
+    "    \n",
+    "        # Normalize daily time coordinate: removes 11:30 / 12:00 differences\n",
+    "    da = da.assign_coords(time=pd.to_datetime(da.time.values).normalize())\n",
+    "\n",
+    "    if \"time\" not in da.dims:\n",
+    "        raise ValueError(f\"{file_path} does not contain a time dimension.\")\n",
+    "\n",
+    "    return da, ds, file_path\n",
+    "\n",
+    "\n",
+    "def check_variable_shapes():\n",
+    "\n",
+    "    for var_name in var_names:\n",
+    "\n",
+    "        era5_da, _, era5_file = load_variable(forcing_path_ERA5, var_name)\n",
+    "        cmip_da, _, cmip_file = load_variable(forcing_path_CMIP_hist, var_name)\n",
+    "\n",
+    "        print(\"\\n\", var_name)\n",
+    "        print(\"ERA5:\", era5_da.shape, era5_da.dims, era5_file.name)\n",
+    "        print(\"CMIP:\", cmip_da.shape, cmip_da.dims, cmip_file.name)\n",
+    "        print(\"ERA5 units:\", era5_da.attrs.get(\"units\"))\n",
+    "        print(\"CMIP units:\", cmip_da.attrs.get(\"units\"))\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 114,
+   "id": "919cf33d-dd3f-4762-a858-414a00a798f6",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
+       " pr\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\n",
+       " pr\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">ERA5:\n",
+       "<span style=\"font-weight: bold\">(</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7305</span>,<span style=\"font-weight: bold\">)</span>\n",
+       "<span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'time'</span>,<span style=\"font-weight: bold\">)</span>\n",
+       "combined_ERA5_1995_2014_pr.nc\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "ERA5:\n",
+       "\u001b[1m(\u001b[0m\u001b[1;36m7305\u001b[0m,\u001b[1m)\u001b[0m\n",
+       "\u001b[1m(\u001b[0m\u001b[32m'time'\u001b[0m,\u001b[1m)\u001b[0m\n",
+       "combined_ERA5_1995_2014_pr.nc\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">CMIP:\n",
+       "<span style=\"font-weight: bold\">(</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7305</span>,<span style=\"font-weight: bold\">)</span>\n",
+       "<span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'time'</span>,<span style=\"font-weight: bold\">)</span>\n",
+       "combined_CMIP6_1995_2014_pr.nc\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "CMIP:\n",
+       "\u001b[1m(\u001b[0m\u001b[1;36m7305\u001b[0m,\u001b[1m)\u001b[0m\n",
+       "\u001b[1m(\u001b[0m\u001b[32m'time'\u001b[0m,\u001b[1m)\u001b[0m\n",
+       "combined_CMIP6_1995_2014_pr.nc\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">ERA5 units: kg m-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span> s-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "ERA5 units: kg m-\u001b[1;36m2\u001b[0m s-\u001b[1;36m1\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">CMIP units: kg m-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span> s-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "CMIP units: kg m-\u001b[1;36m2\u001b[0m s-\u001b[1;36m1\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
+       " tas\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\n",
+       " tas\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">ERA5:\n",
+       "<span style=\"font-weight: bold\">(</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7305</span>,<span style=\"font-weight: bold\">)</span>\n",
+       "<span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'time'</span>,<span style=\"font-weight: bold\">)</span>\n",
+       "combined_ERA5_1995_2014_tas.nc\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "ERA5:\n",
+       "\u001b[1m(\u001b[0m\u001b[1;36m7305\u001b[0m,\u001b[1m)\u001b[0m\n",
+       "\u001b[1m(\u001b[0m\u001b[32m'time'\u001b[0m,\u001b[1m)\u001b[0m\n",
+       "combined_ERA5_1995_2014_tas.nc\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">CMIP:\n",
+       "<span style=\"font-weight: bold\">(</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7305</span>,<span style=\"font-weight: bold\">)</span>\n",
+       "<span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'time'</span>,<span style=\"font-weight: bold\">)</span>\n",
+       "combined_CMIP6_1995_2014_tas.nc\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "CMIP:\n",
+       "\u001b[1m(\u001b[0m\u001b[1;36m7305\u001b[0m,\u001b[1m)\u001b[0m\n",
+       "\u001b[1m(\u001b[0m\u001b[32m'time'\u001b[0m,\u001b[1m)\u001b[0m\n",
+       "combined_CMIP6_1995_2014_tas.nc\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">ERA5 units: K\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "ERA5 units: K\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">CMIP units: K\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "CMIP units: K\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
+       " rsds\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\n",
+       " rsds\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">ERA5:\n",
+       "<span style=\"font-weight: bold\">(</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7305</span>,<span style=\"font-weight: bold\">)</span>\n",
+       "<span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'time'</span>,<span style=\"font-weight: bold\">)</span>\n",
+       "combined_ERA5_1995_2014_rsds.nc\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "ERA5:\n",
+       "\u001b[1m(\u001b[0m\u001b[1;36m7305\u001b[0m,\u001b[1m)\u001b[0m\n",
+       "\u001b[1m(\u001b[0m\u001b[32m'time'\u001b[0m,\u001b[1m)\u001b[0m\n",
+       "combined_ERA5_1995_2014_rsds.nc\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">CMIP:\n",
+       "<span style=\"font-weight: bold\">(</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7305</span>,<span style=\"font-weight: bold\">)</span>\n",
+       "<span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'time'</span>,<span style=\"font-weight: bold\">)</span>\n",
+       "combined_CMIP6_1995_2014_rsds.nc\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "CMIP:\n",
+       "\u001b[1m(\u001b[0m\u001b[1;36m7305\u001b[0m,\u001b[1m)\u001b[0m\n",
+       "\u001b[1m(\u001b[0m\u001b[32m'time'\u001b[0m,\u001b[1m)\u001b[0m\n",
+       "combined_CMIP6_1995_2014_rsds.nc\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">ERA5 units: W m-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "ERA5 units: W m-\u001b[1;36m2\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">CMIP units: W m-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "CMIP units: W m-\u001b[1;36m2\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
+       " evspsblpot\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\n",
+       " evspsblpot\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">ERA5:\n",
+       "<span style=\"font-weight: bold\">(</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7305</span>,<span style=\"font-weight: bold\">)</span>\n",
+       "<span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'time'</span>,<span style=\"font-weight: bold\">)</span>\n",
+       "combined_ERA5_1995_2014_evspsblpot.nc\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "ERA5:\n",
+       "\u001b[1m(\u001b[0m\u001b[1;36m7305\u001b[0m,\u001b[1m)\u001b[0m\n",
+       "\u001b[1m(\u001b[0m\u001b[32m'time'\u001b[0m,\u001b[1m)\u001b[0m\n",
+       "combined_ERA5_1995_2014_evspsblpot.nc\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">CMIP:\n",
+       "<span style=\"font-weight: bold\">(</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7305</span>,<span style=\"font-weight: bold\">)</span>\n",
+       "<span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'time'</span>,<span style=\"font-weight: bold\">)</span>\n",
+       "combined_CMIP6_1995_2014_evspsblpot.nc\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "CMIP:\n",
+       "\u001b[1m(\u001b[0m\u001b[1;36m7305\u001b[0m,\u001b[1m)\u001b[0m\n",
+       "\u001b[1m(\u001b[0m\u001b[32m'time'\u001b[0m,\u001b[1m)\u001b[0m\n",
+       "combined_CMIP6_1995_2014_evspsblpot.nc\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">ERA5 units: kg m-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span> s-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "ERA5 units: kg m-\u001b[1;36m2\u001b[0m s-\u001b[1;36m1\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">CMIP units: kg m-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span> s-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "CMIP units: kg m-\u001b[1;36m2\u001b[0m s-\u001b[1;36m1\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "check_variable_shapes()\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "63b2e743-44cb-4605-b3fc-644720ec28e1",
+   "metadata": {},
+   "source": [
+    "## 4. Bias-correction settings\n",
+    "\n",
+    "For this version, the correction is done with `cmethods.adjust(method=\"quantile_delta_mapping\")`.\n",
+    "\n",
+    "- `tas`: additive correction (`kind=\"+\"`)\n",
+    "- `pr`, `rsds`, `evspsblpot`: multiplicative correction (`kind=\"*\"`)\n",
+    "- Negative corrected values are removed for non-temperature variables.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 115,
+   "id": "a04adad4-5518-4f51-a95e-2d9bb71cf397",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "method = \"quantile_delta_mapping\"\n",
+    "n_quantiles = 250\n",
+    "\n",
+    "def correction_kind(var_name):\n",
+    "    if var_name == \"tas\":\n",
+    "        return \"+\"\n",
+    "    else:\n",
+    "        return \"*\"\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 116,
+   "id": "cb6bfd86-81fe-4257-861f-a3a20c7a2627",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def monthly_qdm(obs_da, simh_da, simp_da, var_name):\n",
+    "\n",
+    "    corrected_months = []\n",
+    "\n",
+    "    kind = correction_kind(var_name)\n",
+    "\n",
+    "    for month in range(1, 13):\n",
+    "\n",
+    "        obs_m = obs_da.sel(time=obs_da.time.dt.month == month)\n",
+    "        simh_m = simh_da.sel(time=simh_da.time.dt.month == month)\n",
+    "        simp_m = simp_da.sel(time=simp_da.time.dt.month == month)\n",
+    "\n",
+    "        # Save original target time\n",
+    "        simp_time = simp_m.time\n",
+    "\n",
+    "        # Reset time index so cmethods does not require exact same dates\n",
+    "        obs_m = obs_m.assign_coords(time=np.arange(len(obs_m.time)))\n",
+    "        simh_m = simh_m.assign_coords(time=np.arange(len(simh_m.time)))\n",
+    "        simp_m = simp_m.assign_coords(time=np.arange(len(simp_m.time)))\n",
+    "\n",
+    "        corrected_m = adjust(\n",
+    "            method=method,\n",
+    "            obs=obs_m.astype(\"float64\"),\n",
+    "            simh=simh_m.astype(\"float64\"),\n",
+    "            simp=simp_m.astype(\"float64\"),\n",
+    "            n_quantiles=n_quantiles,\n",
+    "            kind=kind,\n",
+    "        )\n",
+    "\n",
+    "        if isinstance(corrected_m, xr.Dataset):\n",
+    "            corrected_m = corrected_m[var_name]\n",
+    "\n",
+    "        # Put original dates back\n",
+    "        corrected_m = corrected_m.assign_coords(time=simp_time)\n",
+    "\n",
+    "        corrected_months.append(corrected_m)\n",
+    "\n",
+    "    corrected_da = xr.concat(corrected_months, dim=\"time\")\n",
+    "    corrected_da = corrected_da.sortby(\"time\")\n",
+    "\n",
+    "    corrected_da.name = var_name\n",
+    "\n",
+    "    if var_name != \"tas\":\n",
+    "        corrected_da = corrected_da.clip(min=0)\n",
+    "\n",
+    "    return corrected_da.astype(\"float32\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 117,
+   "id": "d4e73e16-e4e6-4202-9901-2fe271f40390",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def derive_monthly_pr_thresholds(reference_pr, corrected_pr, dry_threshold_mm_day=0.1):\n",
+    "\n",
+    "    thresholds = {}\n",
+    "\n",
+    "    ref = to_series(reference_pr) * 86400\n",
+    "    qdm = to_series(corrected_pr) * 86400\n",
+    "\n",
+    "    for month in range(1, 13):\n",
+    "\n",
+    "        ref_m = ref[ref.index.month == month]\n",
+    "        qdm_m = qdm[qdm.index.month == month]\n",
+    "\n",
+    "        # Fraction of dry days in ERA5\n",
+    "        dry_fraction = (ref_m < dry_threshold_mm_day).mean()\n",
+    "\n",
+    "        # QDM precipitation threshold giving same dry-day fraction\n",
+    "        qdm_threshold_mm_day = qdm_m.quantile(dry_fraction)\n",
+    "\n",
+    "        # Convert back to kg m-2 s-1\n",
+    "        thresholds[month] = qdm_threshold_mm_day / 86400\n",
+    "\n",
+    "    return thresholds\n",
+    "\n",
+    "\n",
+    "def apply_monthly_pr_thresholds(pr_da, thresholds):\n",
+    "\n",
+    "    pr_new = pr_da.copy()\n",
+    "\n",
+    "    for month in range(1, 13):\n",
+    "\n",
+    "        month_mask = pr_new.time.dt.month == month\n",
+    "        threshold = thresholds[month]\n",
+    "\n",
+    "        pr_new = pr_new.where(\n",
+    "            ~(month_mask & (pr_new < threshold)),\n",
+    "            0\n",
+    "        )\n",
+    "\n",
+    "    return pr_new"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c21c46dd-a15a-4619-b917-00971ad9c576",
+   "metadata": {},
+   "source": [
+    "## 5. Apply bias correction and save NetCDF files"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 118,
+   "id": "78bc5fe6-bc7e-4d1a-b9d2-5d654f49e9c4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def bias_correct_variable(var_name):\n",
+    "\n",
+    "    print(f\"\\nCorrecting {var_name}\")\n",
+    "\n",
+    "    # ERA5 = observed/reference historical period\n",
+    "    obs_da, obs_ds, obs_file = load_variable(forcing_path_ERA5, var_name)\n",
+    "\n",
+    "    # CMIP historical = model historical/control period\n",
+    "    simh_da, simh_ds, simh_file = load_variable(forcing_path_CMIP, var_name)\n",
+    "\n",
+    "    # CMIP target = data to correct\n",
+    "    simp_da, simp_ds, simp_file = load_variable(forcing_path_CMIP_target, var_name)\n",
+    "\n",
+    "    # cmethods works with xarray DataArray objects with a time dimension\n",
+    "    corrected_da = monthly_qdm(\n",
+    "        obs_da=obs_da,\n",
+    "        simh_da=simh_da,\n",
+    "        simp_da=simp_da,\n",
+    "        var_name=var_name\n",
+    "    )\n",
+    "\n",
+    "    # Additional dry-day correction for precipitation\n",
+    "    if var_name == \"pr\":\n",
+    "\n",
+    "        thresholds = derive_monthly_pr_thresholds(\n",
+    "            reference_pr=obs_da,\n",
+    "            corrected_pr=corrected_da,\n",
+    "            dry_threshold_mm_day=0.1\n",
+    "        )\n",
+    "    \n",
+    "        corrected_da = apply_monthly_pr_thresholds(\n",
+    "            pr_da=corrected_da,\n",
+    "            thresholds=thresholds\n",
+    "        )\n",
+    "\n",
+    "    # Sometimes cmethods returns a Dataset instead of DataArray\n",
+    "    if isinstance(corrected_da, xr.Dataset):\n",
+    "        corrected_da = corrected_da[var_name]\n",
+    "\n",
+    "    # Sometimes the output name is lost\n",
+    "    corrected_da.name = var_name\n",
+    "\n",
+    "    # Keep physically realistic bounds for non-temperature variables\n",
+    "    if var_name != \"tas\":\n",
+    "        corrected_da = corrected_da.where(corrected_da >= 0, 0)\n",
+    "\n",
+    "    # Copy metadata from the target data\n",
+    "    corrected_da.attrs = simp_da.attrs\n",
+    "\n",
+    "    # Cast back to original target dtype if possible\n",
+    "    try:\n",
+    "        corrected_da = corrected_da.astype(simp_da.dtype)\n",
+    "    except Exception:\n",
+    "        pass\n",
+    "\n",
+    "    corrected_ds = corrected_da.to_dataset(name=var_name)\n",
+    "    corrected_ds.attrs = simp_ds.attrs\n",
+    "\n",
+    "    output_file = (\n",
+    "        forcing_path_QDM\n",
+    "        / f\"combined_CMIP6_QDM_{Scenario}_{start_year}_{end_year}_{var_name}.nc\"\n",
+    "    )\n",
+    "\n",
+    "    corrected_ds.to_netcdf(output_file)\n",
+    "\n",
+    "    print(\"Saved:\", output_file)\n",
+    "\n",
+    "    return corrected_da\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 119,
+   "id": "acfa59d9-760d-4e9c-ba62-50632b8fd36f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
+       "Correcting pr\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\n",
+       "Correcting pr\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Saved: \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-QDM-1995-2014/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">combined_CMIP6_QDM_historical_1995_2</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">014_pr.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Saved: \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-QDM-1995-2014/\u001b[0m\u001b[95mcombined_CMIP6_QDM_historical_1995_2\u001b[0m\n",
+       "\u001b[95m014_pr.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
+       "Correcting tas\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\n",
+       "Correcting tas\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Saved: \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-QDM-1995-2014/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">combined_CMIP6_QDM_historical_1995_2</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">014_tas.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Saved: \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-QDM-1995-2014/\u001b[0m\u001b[95mcombined_CMIP6_QDM_historical_1995_2\u001b[0m\n",
+       "\u001b[95m014_tas.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
+       "Correcting rsds\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\n",
+       "Correcting rsds\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Saved: \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-QDM-1995-2014/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">combined_CMIP6_QDM_historical_1995_2</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">014_rsds.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Saved: \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-QDM-1995-2014/\u001b[0m\u001b[95mcombined_CMIP6_QDM_historical_1995_2\u001b[0m\n",
+       "\u001b[95m014_rsds.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
+       "Correcting evspsblpot\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\n",
+       "Correcting evspsblpot\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Saved: \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-QDM-1995-2014/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">combined_CMIP6_QDM_historical_1995_2</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">014_evspsblpot.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Saved: \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-QDM-1995-2014/\u001b[0m\u001b[95mcombined_CMIP6_QDM_historical_1995_2\u001b[0m\n",
+       "\u001b[95m014_evspsblpot.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "corrected_data = {}\n",
+    "\n",
+    "for i in range(len(var_names)):\n",
+    "\n",
+    "    var_name = var_names[i]\n",
+    "    corrected_data[var_name] = bias_correct_variable(var_name)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "01e5d39b-b448-49e1-9a58-a13415143e1c",
+   "metadata": {},
+   "source": [
+    "## 6. Create eWaterCycle forcing YAML"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 120,
+   "id": "329c7270-3e6e-4894-bb4d-cbf349782651",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Saved: <span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-QDM-1995-2014/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">ewatercycle_forcing.yaml</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Saved: \u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-QDM-1995-2014/\u001b[0m\u001b[95mewatercycle_forcing.yaml\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">{</span>\n",
+       "    <span style=\"color: #008000; text-decoration-color: #008000\">'start_time'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'1995-01-01T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #008000; text-decoration-color: #008000\">'end_time'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'2014-12-31T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #008000; text-decoration-color: #008000\">'shape'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'</span>,\n",
+       "    <span style=\"color: #008000; text-decoration-color: #008000\">'filenames'</span>: <span style=\"font-weight: bold\">{</span>\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'pr'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_QDM_historical_1995_2014_pr.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'tas'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_QDM_historical_1995_2014_tas.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'rsds'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_QDM_historical_1995_2014_rsds.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'evspsblpot'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_QDM_historical_1995_2014_evspsblpot.nc'</span>\n",
+       "    <span style=\"font-weight: bold\">}</span>\n",
+       "<span style=\"font-weight: bold\">}</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1m{\u001b[0m\n",
+       "    \u001b[32m'start_time'\u001b[0m: \u001b[32m'1995-01-01T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[32m'end_time'\u001b[0m: \u001b[32m'2014-12-31T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[32m'shape'\u001b[0m: \u001b[32m'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'\u001b[0m,\n",
+       "    \u001b[32m'filenames'\u001b[0m: \u001b[1m{\u001b[0m\n",
+       "        \u001b[32m'pr'\u001b[0m: \u001b[32m'combined_CMIP6_QDM_historical_1995_2014_pr.nc'\u001b[0m,\n",
+       "        \u001b[32m'tas'\u001b[0m: \u001b[32m'combined_CMIP6_QDM_historical_1995_2014_tas.nc'\u001b[0m,\n",
+       "        \u001b[32m'rsds'\u001b[0m: \u001b[32m'combined_CMIP6_QDM_historical_1995_2014_rsds.nc'\u001b[0m,\n",
+       "        \u001b[32m'evspsblpot'\u001b[0m: \u001b[32m'combined_CMIP6_QDM_historical_1995_2014_evspsblpot.nc'\u001b[0m\n",
+       "    \u001b[1m}\u001b[0m\n",
+       "\u001b[1m}\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "forcing_yaml = {\n",
+    "    \"start_time\": f\"{start_year}-01-01T00:00:00Z\",\n",
+    "    \"end_time\": f\"{end_year}-12-31T00:00:00Z\",\n",
+    "    \"shape\": str(shape_file),\n",
+    "    \"filenames\": {\n",
+    "        \"pr\": f\"combined_CMIP6_QDM_{Scenario}_{start_year}_{end_year}_pr.nc\",\n",
+    "        \"tas\": f\"combined_CMIP6_QDM_{Scenario}_{start_year}_{end_year}_tas.nc\",\n",
+    "        \"rsds\": f\"combined_CMIP6_QDM_{Scenario}_{start_year}_{end_year}_rsds.nc\",\n",
+    "        \"evspsblpot\": f\"combined_CMIP6_QDM_{Scenario}_{start_year}_{end_year}_evspsblpot.nc\",\n",
+    "    }\n",
+    "}\n",
+    "\n",
+    "yaml_file_path = forcing_path_QDM / \"ewatercycle_forcing.yaml\"\n",
+    "\n",
+    "with open(yaml_file_path, \"w\") as yaml_file:\n",
+    "    yaml.dump(forcing_yaml, yaml_file, default_flow_style=False)\n",
+    "\n",
+    "print(\"Saved:\", yaml_file_path)\n",
+    "print(forcing_yaml)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9a79f375-f050-4652-92d8-6d85827d2212",
+   "metadata": {},
+   "source": [
+    "## 7. Test-load corrected forcing"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 121,
+   "id": "c2b3c4b9-9565-483e-9f00-a1a617d1254f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">LumpedMakkinkForcing</span><span style=\"font-weight: bold\">(</span>\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">start_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'1995-01-01T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">end_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'2014-12-31T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">directory</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-QDM-1995-2014'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">shape</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">filenames</span>=<span style=\"font-weight: bold\">{</span>\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'evspsblpot'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_QDM_historical_1995_2014_evspsblpot.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'pr'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_QDM_historical_1995_2014_pr.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'rsds'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_QDM_historical_1995_2014_rsds.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'tas'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_QDM_historical_1995_2014_tas.nc'</span>\n",
+       "    <span style=\"font-weight: bold\">}</span>\n",
+       "<span style=\"font-weight: bold\">)</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1;35mLumpedMakkinkForcing\u001b[0m\u001b[1m(\u001b[0m\n",
+       "    \u001b[33mstart_time\u001b[0m=\u001b[32m'1995-01-01T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mend_time\u001b[0m=\u001b[32m'2014-12-31T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mdirectory\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-QDM-1995-2014'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mshape\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mfilenames\u001b[0m=\u001b[1m{\u001b[0m\n",
+       "        \u001b[32m'evspsblpot'\u001b[0m: \u001b[32m'combined_CMIP6_QDM_historical_1995_2014_evspsblpot.nc'\u001b[0m,\n",
+       "        \u001b[32m'pr'\u001b[0m: \u001b[32m'combined_CMIP6_QDM_historical_1995_2014_pr.nc'\u001b[0m,\n",
+       "        \u001b[32m'rsds'\u001b[0m: \u001b[32m'combined_CMIP6_QDM_historical_1995_2014_rsds.nc'\u001b[0m,\n",
+       "        \u001b[32m'tas'\u001b[0m: \u001b[32m'combined_CMIP6_QDM_historical_1995_2014_tas.nc'\u001b[0m\n",
+       "    \u001b[1m}\u001b[0m\n",
+       "\u001b[1m)\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "CMIP_QDM_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=forcing_path_QDM)\n",
+    "\n",
+    "print(CMIP_QDM_forcing)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "929d8298-a9db-4e02-bef7-3de7e8025d0c",
+   "metadata": {},
+   "source": [
+    "## 8. Diagnostics"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 122,
+   "id": "86a68f82-bae7-4407-ba9f-a9e2e5f0c2b6",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ERA5</th>\n",
+       "      <th>CMIP</th>\n",
+       "      <th>QDM</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>259.132385</td>\n",
+       "      <td>258.764984</td>\n",
+       "      <td>259.130676</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>262.616638</td>\n",
+       "      <td>260.584747</td>\n",
+       "      <td>262.619354</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>266.683990</td>\n",
+       "      <td>266.945068</td>\n",
+       "      <td>266.679565</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>275.085419</td>\n",
+       "      <td>275.355194</td>\n",
+       "      <td>275.084656</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>281.591614</td>\n",
+       "      <td>283.529388</td>\n",
+       "      <td>281.590942</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>286.239655</td>\n",
+       "      <td>287.728638</td>\n",
+       "      <td>286.238739</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>288.825104</td>\n",
+       "      <td>289.488037</td>\n",
+       "      <td>288.840942</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>287.475311</td>\n",
+       "      <td>287.564758</td>\n",
+       "      <td>287.473358</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>282.689728</td>\n",
+       "      <td>281.650360</td>\n",
+       "      <td>282.674805</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>275.483521</td>\n",
+       "      <td>275.246124</td>\n",
+       "      <td>275.485504</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>266.516418</td>\n",
+       "      <td>267.792389</td>\n",
+       "      <td>266.535553</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>260.348724</td>\n",
+       "      <td>261.863647</td>\n",
+       "      <td>260.350525</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          ERA5        CMIP         QDM\n",
+       "1   259.132385  258.764984  259.130676\n",
+       "2   262.616638  260.584747  262.619354\n",
+       "3   266.683990  266.945068  266.679565\n",
+       "4   275.085419  275.355194  275.084656\n",
+       "5   281.591614  283.529388  281.590942\n",
+       "6   286.239655  287.728638  286.238739\n",
+       "7   288.825104  289.488037  288.840942\n",
+       "8   287.475311  287.564758  287.473358\n",
+       "9   282.689728  281.650360  282.674805\n",
+       "10  275.483521  275.246124  275.485504\n",
+       "11  266.516418  267.792389  266.535553\n",
+       "12  260.348724  261.863647  260.350525"
+      ]
+     },
+     "execution_count": 122,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "def to_series(da):\n",
+    "    return pd.Series(\n",
+    "        data=da.values.squeeze(),\n",
+    "        index=pd.to_datetime(da[\"time\"].values),\n",
+    "        name=da.name,\n",
+    "    )\n",
+    "\n",
+    "\n",
+    "def load_corrected_variable(var_name):\n",
+    "    file_path = (forcing_path_QDM / f\"combined_CMIP6_QDM_{Scenario}_{start_year}_{end_year}_{var_name}.nc\")\n",
+    "    ds = xr.open_dataset(file_path)\n",
+    "    da = get_dataarray(ds, var_name).squeeze()\n",
+    "    return da\n",
+    "\n",
+    "\n",
+    "def monthly_mean_table(var_name, convert_pr_to_mm_day=False):\n",
+    "\n",
+    "    era5_da, _, _ = load_variable(forcing_path_ERA5, var_name)\n",
+    "    cmip_da, _, _ = load_variable(forcing_path_CMIP_hist, var_name)\n",
+    "    qdm_da = load_corrected_variable(var_name)\n",
+    "\n",
+    "    era5 = to_series(era5_da)\n",
+    "    cmip = to_series(cmip_da)\n",
+    "    qdm = to_series(qdm_da)\n",
+    "\n",
+    "    factor = 86400 if convert_pr_to_mm_day else 1\n",
+    "\n",
+    "    table = pd.DataFrame({\n",
+    "        \"ERA5\": era5.groupby(era5.index.month).mean() * factor,\n",
+    "        \"CMIP\": cmip.groupby(cmip.index.month).mean() * factor,\n",
+    "        \"QDM\": qdm.groupby(qdm.index.month).mean() * factor,\n",
+    "    })\n",
+    "\n",
+    "    return table\n",
+    "\n",
+    "\n",
+    "monthly_mean_table(\"tas\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 123,
+   "id": "44041a3b-9453-4212-819e-c6ecf7ab9bdd",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ERA5</th>\n",
+       "      <th>CMIP</th>\n",
+       "      <th>QDM</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.915469</td>\n",
+       "      <td>1.014411</td>\n",
+       "      <td>0.923202</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0.647922</td>\n",
+       "      <td>0.886178</td>\n",
+       "      <td>0.639437</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.931562</td>\n",
+       "      <td>1.102054</td>\n",
+       "      <td>0.928657</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1.377950</td>\n",
+       "      <td>1.504056</td>\n",
+       "      <td>1.376870</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>1.892165</td>\n",
+       "      <td>1.992272</td>\n",
+       "      <td>1.889571</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>3.134658</td>\n",
+       "      <td>3.328967</td>\n",
+       "      <td>3.145954</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>3.462940</td>\n",
+       "      <td>3.765053</td>\n",
+       "      <td>3.486110</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>2.314942</td>\n",
+       "      <td>2.116627</td>\n",
+       "      <td>2.335796</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>1.707162</td>\n",
+       "      <td>1.607128</td>\n",
+       "      <td>1.754936</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>1.148419</td>\n",
+       "      <td>1.267420</td>\n",
+       "      <td>1.151219</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>1.013025</td>\n",
+       "      <td>1.112656</td>\n",
+       "      <td>1.008303</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>0.838748</td>\n",
+       "      <td>0.929316</td>\n",
+       "      <td>0.830903</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        ERA5      CMIP       QDM\n",
+       "1   0.915469  1.014411  0.923202\n",
+       "2   0.647922  0.886178  0.639437\n",
+       "3   0.931562  1.102054  0.928657\n",
+       "4   1.377950  1.504056  1.376870\n",
+       "5   1.892165  1.992272  1.889571\n",
+       "6   3.134658  3.328967  3.145954\n",
+       "7   3.462940  3.765053  3.486110\n",
+       "8   2.314942  2.116627  2.335796\n",
+       "9   1.707162  1.607128  1.754936\n",
+       "10  1.148419  1.267420  1.151219\n",
+       "11  1.013025  1.112656  1.008303\n",
+       "12  0.838748  0.929316  0.830903"
+      ]
+     },
+     "execution_count": 123,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Precipitation monthly means in mm/day\n",
+    "monthly_mean_table(\"pr\", convert_pr_to_mm_day=True)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 124,
+   "id": "ced18668-c114-44c2-ba16-f5f381d4d523",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ERA5</th>\n",
+       "      <th>CMIP</th>\n",
+       "      <th>QDM</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1995</th>\n",
+       "      <td>79</td>\n",
+       "      <td>82</td>\n",
+       "      <td>84</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1996</th>\n",
+       "      <td>51</td>\n",
+       "      <td>79</td>\n",
+       "      <td>87</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1997</th>\n",
+       "      <td>68</td>\n",
+       "      <td>52</td>\n",
+       "      <td>54</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1998</th>\n",
+       "      <td>72</td>\n",
+       "      <td>55</td>\n",
+       "      <td>60</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1999</th>\n",
+       "      <td>66</td>\n",
+       "      <td>60</td>\n",
+       "      <td>65</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2000</th>\n",
+       "      <td>82</td>\n",
+       "      <td>49</td>\n",
+       "      <td>58</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2001</th>\n",
+       "      <td>87</td>\n",
+       "      <td>50</td>\n",
+       "      <td>54</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2002</th>\n",
+       "      <td>71</td>\n",
+       "      <td>76</td>\n",
+       "      <td>84</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2003</th>\n",
+       "      <td>65</td>\n",
+       "      <td>69</td>\n",
+       "      <td>70</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2004</th>\n",
+       "      <td>64</td>\n",
+       "      <td>55</td>\n",
+       "      <td>59</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2005</th>\n",
+       "      <td>77</td>\n",
+       "      <td>44</td>\n",
+       "      <td>54</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006</th>\n",
+       "      <td>66</td>\n",
+       "      <td>73</td>\n",
+       "      <td>76</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2007</th>\n",
+       "      <td>44</td>\n",
+       "      <td>77</td>\n",
+       "      <td>75</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2008</th>\n",
+       "      <td>70</td>\n",
+       "      <td>78</td>\n",
+       "      <td>82</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2009</th>\n",
+       "      <td>69</td>\n",
+       "      <td>61</td>\n",
+       "      <td>65</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2010</th>\n",
+       "      <td>75</td>\n",
+       "      <td>39</td>\n",
+       "      <td>49</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2011</th>\n",
+       "      <td>51</td>\n",
+       "      <td>64</td>\n",
+       "      <td>67</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2012</th>\n",
+       "      <td>67</td>\n",
+       "      <td>106</td>\n",
+       "      <td>113</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2013</th>\n",
+       "      <td>53</td>\n",
+       "      <td>78</td>\n",
+       "      <td>77</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2014</th>\n",
+       "      <td>59</td>\n",
+       "      <td>47</td>\n",
+       "      <td>46</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      ERA5  CMIP  QDM\n",
+       "1995    79    82   84\n",
+       "1996    51    79   87\n",
+       "1997    68    52   54\n",
+       "1998    72    55   60\n",
+       "1999    66    60   65\n",
+       "2000    82    49   58\n",
+       "2001    87    50   54\n",
+       "2002    71    76   84\n",
+       "2003    65    69   70\n",
+       "2004    64    55   59\n",
+       "2005    77    44   54\n",
+       "2006    66    73   76\n",
+       "2007    44    77   75\n",
+       "2008    70    78   82\n",
+       "2009    69    61   65\n",
+       "2010    75    39   49\n",
+       "2011    51    64   67\n",
+       "2012    67   106  113\n",
+       "2013    53    78   77\n",
+       "2014    59    47   46"
+      ]
+     },
+     "execution_count": 124,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Dry-day diagnostic for precipitation\n",
+    "era5_pr = to_series(load_variable(forcing_path_ERA5, \"pr\")[0])\n",
+    "cmip_pr = to_series(load_variable(forcing_path_CMIP_hist, \"pr\")[0])\n",
+    "qdm_pr = to_series(load_corrected_variable(\"pr\"))\n",
+    "\n",
+    "dry_days = pd.DataFrame({\n",
+    "    \"ERA5\": ((era5_pr * 86400) < 0.1).groupby(era5_pr.index.year).sum(),\n",
+    "    \"CMIP\": ((cmip_pr * 86400) < 0.1).groupby(cmip_pr.index.year).sum(),\n",
+    "    \"QDM\": ((qdm_pr * 86400) < 0.1).groupby(qdm_pr.index.year).sum(),\n",
+    "})\n",
+    "\n",
+    "dry_days\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 125,
+   "id": "4bdfafd5-39a5-41a0-9647-eeb44ce8b894",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def plot_variable_timeseries(var_name, factor=1, start=None, end=None):\n",
+    "\n",
+    "    era5_da, _, _ = load_variable(forcing_path_ERA5, var_name)\n",
+    "    cmip_da, _, _ = load_variable(forcing_path_CMIP_hist, var_name)\n",
+    "    qdm_da = load_corrected_variable(var_name)\n",
+    "\n",
+    "    era5 = to_series(era5_da) * factor\n",
+    "    cmip = to_series(cmip_da) * factor\n",
+    "    qdm = to_series(qdm_da) * factor\n",
+    "\n",
+    "    if var_name == \"tas\":\n",
+    "        era5 = era5 - 273.15\n",
+    "        cmip = cmip - 273.15\n",
+    "        qdm = qdm - 273.15\n",
+    "\n",
+    "    # Select period\n",
+    "    if start is not None:\n",
+    "        era5 = era5[era5.index >= pd.to_datetime(start)]\n",
+    "        cmip = cmip[cmip.index >= pd.to_datetime(start)]\n",
+    "        qdm = qdm[qdm.index >= pd.to_datetime(start)]\n",
+    "\n",
+    "    if end is not None:\n",
+    "        era5 = era5[era5.index <= pd.to_datetime(end)]\n",
+    "        cmip = cmip[cmip.index <= pd.to_datetime(end)]\n",
+    "        qdm = qdm[qdm.index <= pd.to_datetime(end)]\n",
+    "\n",
+    "    plt.figure(figsize=(12, 5))\n",
+    "    plt.plot(era5.index, era5, label=\"ERA5\")\n",
+    "    plt.plot(cmip.index, cmip, label=\"CMIP\")\n",
+    "    plt.plot(qdm.index, qdm, label=\"QDM\")\n",
+    "    plt.title(var_name)\n",
+    "    plt.grid(True)\n",
+    "    plt.legend()\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 126,
+   "id": "3709b859-a101-4db2-8184-371c7600357a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1200x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_variable_timeseries(\n",
+    "    \"pr\",\n",
+    "    factor=86400,\n",
+    "    start=\"2012-05-01\",\n",
+    "    end=\"2012-08-31\"\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 127,
+   "id": "de19c038-8b47-473e-b6c0-cc9bdd9fe404",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def compare_stats(var_name, factor=1):\n",
+    "\n",
+    "    era5_da, _, _ = load_variable(forcing_path_ERA5, var_name)\n",
+    "    cmip_da, _, _ = load_variable(forcing_path_CMIP_hist, var_name)\n",
+    "    qdm_da = load_corrected_variable(var_name)\n",
+    "\n",
+    "    era5 = to_series(era5_da) * factor\n",
+    "    cmip = to_series(cmip_da) * factor\n",
+    "    qdm = to_series(qdm_da) * factor\n",
+    "\n",
+    "    stats = pd.DataFrame({\n",
+    "        \"ERA5\": era5.describe(),\n",
+    "        \"CMIP\": cmip.describe(),\n",
+    "        \"QDM\": qdm.describe()\n",
+    "    })\n",
+    "\n",
+    "    return stats"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 128,
+   "id": "d835a397-46ec-4aa5-bc27-edf79756ec00",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ERA5</th>\n",
+       "      <th>CMIP</th>\n",
+       "      <th>QDM</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>7.305000e+03</td>\n",
+       "      <td>7.305000e+03</td>\n",
+       "      <td>7305.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>1.620587e+00</td>\n",
+       "      <td>1.723259e+00</td>\n",
+       "      <td>1.627803</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>2.418762e+00</td>\n",
+       "      <td>2.675928e+00</td>\n",
+       "      <td>2.508479</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>-1.665334e-13</td>\n",
+       "      <td>1.174351e-13</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>1.879302e-01</td>\n",
+       "      <td>1.873050e-01</td>\n",
+       "      <td>0.188148</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>7.593266e-01</td>\n",
+       "      <td>7.643056e-01</td>\n",
+       "      <td>0.762794</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>2.028109e+00</td>\n",
+       "      <td>2.214770e+00</td>\n",
+       "      <td>2.038388</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>2.548246e+01</td>\n",
+       "      <td>4.300434e+01</td>\n",
+       "      <td>43.004338</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               ERA5          CMIP          QDM\n",
+       "count  7.305000e+03  7.305000e+03  7305.000000\n",
+       "mean   1.620587e+00  1.723259e+00     1.627803\n",
+       "std    2.418762e+00  2.675928e+00     2.508479\n",
+       "min   -1.665334e-13  1.174351e-13     0.000000\n",
+       "25%    1.879302e-01  1.873050e-01     0.188148\n",
+       "50%    7.593266e-01  7.643056e-01     0.762794\n",
+       "75%    2.028109e+00  2.214770e+00     2.038388\n",
+       "max    2.548246e+01  4.300434e+01    43.004338"
+      ]
+     },
+     "execution_count": 128,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "compare_stats(\"pr\", factor=86400)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 129,
+   "id": "782e5335-f61a-4f59-842b-ca1cec86cdba",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def plot_variable_cdf_season(var_name, start_month=5, end_month=10):\n",
+    "\n",
+    "    era5_da, _, _ = load_variable(forcing_path_ERA5, var_name)\n",
+    "    cmip_da, _, _ = load_variable(forcing_path_CMIP, var_name)\n",
+    "    qdm_da = load_corrected_variable(var_name)\n",
+    "\n",
+    "    era5 = to_series(era5_da)\n",
+    "    cmip = to_series(cmip_da)\n",
+    "    qdm = to_series(qdm_da)\n",
+    "\n",
+    "    era5 = era5[era5.index.month.isin(range(start_month, end_month + 1))]\n",
+    "    cmip = cmip[cmip.index.month.isin(range(start_month, end_month + 1))]\n",
+    "    qdm = qdm[qdm.index.month.isin(range(start_month, end_month + 1))]\n",
+    "\n",
+    "    if var_name == \"tas\":\n",
+    "        era5 = era5 - 273.15\n",
+    "        cmip = cmip - 273.15\n",
+    "        qdm = qdm - 273.15\n",
+    "        xlabel = \"Temperature (°C)\"\n",
+    "\n",
+    "    elif var_name in [\"pr\", \"evspsblpot\"]:\n",
+    "        era5 = era5 * 86400\n",
+    "        cmip = cmip * 86400\n",
+    "        qdm = qdm * 86400\n",
+    "        xlabel = f\"{var_name} (mm/day)\"\n",
+    "\n",
+    "    elif var_name == \"rsds\":\n",
+    "        xlabel = \"Shortwave radiation (W/m²)\"\n",
+    "    else:\n",
+    "        xlabel = var_name\n",
+    "\n",
+    "    plt.figure(figsize=(8, 5))\n",
+    "\n",
+    "    # for name, data in {\"ERA5\": era5, \"CMIP\": cmip, \"QDM\": qdm}.items():\n",
+    "    for name, data in {\"CMIP\": cmip, \"QDM\": qdm, \"ERA5\": era5}.items():\n",
+    "\n",
+    "        values = np.sort(data.dropna().values)\n",
+    "        cdf = np.arange(1, len(values) + 1) / len(values)\n",
+    "\n",
+    "        plt.plot(values, cdf, label=name)\n",
+    "\n",
+    "    plt.xlabel(xlabel)\n",
+    "    plt.ylabel(\"Cumulative probability\")\n",
+    "    plt.title(f\"CDF of {var_name}, months {start_month}-{end_month}\")\n",
+    "    plt.grid(True)\n",
+    "    plt.legend()\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 130,
+   "id": "98ceeada-3d72-4b77-8259-43ed40148b24",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 800x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_variable_cdf_season(\"tas\", start_month=5, end_month=10)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 131,
+   "id": "cc847fac-bb44-41f3-ad17-ffeabc3a2baf",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def forcing_summary_for_year(year):\n",
+    "\n",
+    "    variables = [\"pr\", \"tas\", \"rsds\", \"evspsblpot\"]\n",
+    "\n",
+    "    rows = []\n",
+    "\n",
+    "    for var_name in variables:\n",
+    "\n",
+    "        era5_da, _, _ = load_variable(forcing_path_ERA5, var_name)\n",
+    "        cmip_da, _, _ = load_variable(forcing_path_CMIP_hist, var_name)\n",
+    "        qdm_da = load_corrected_variable(var_name)\n",
+    "\n",
+    "        era5 = to_series(era5_da)\n",
+    "        cmip = to_series(cmip_da)\n",
+    "        qdm = to_series(qdm_da)\n",
+    "\n",
+    "        # Select year\n",
+    "        era5_y = era5[era5.index.year == year]\n",
+    "        cmip_y = cmip[cmip.index.year == year]\n",
+    "        qdm_y = qdm[qdm.index.year == year]\n",
+    "\n",
+    "        # Unit conversion\n",
+    "        if var_name in [\"pr\", \"evspsblpot\"]:\n",
+    "            era5_y = era5_y * 86400\n",
+    "            cmip_y = cmip_y * 86400\n",
+    "            qdm_y = qdm_y * 86400\n",
+    "            statistic = \"sum mm/year\"\n",
+    "\n",
+    "            rows.append({\n",
+    "                \"variable\": var_name,\n",
+    "                \"statistic\": statistic,\n",
+    "                \"ERA5\": era5_y.sum(),\n",
+    "                \"CMIP\": cmip_y.sum(),\n",
+    "                \"QDM\": qdm_y.sum()\n",
+    "            })\n",
+    "\n",
+    "        elif var_name == \"tas\":\n",
+    "            era5_y = era5_y - 273.15\n",
+    "            cmip_y = cmip_y - 273.15\n",
+    "            qdm_y = qdm_y - 273.15\n",
+    "            statistic = \"mean °C\"\n",
+    "\n",
+    "            rows.append({\n",
+    "                \"variable\": var_name,\n",
+    "                \"statistic\": statistic,\n",
+    "                \"ERA5\": era5_y.mean(),\n",
+    "                \"CMIP\": cmip_y.mean(),\n",
+    "                \"QDM\": qdm_y.mean()\n",
+    "            })\n",
+    "\n",
+    "        elif var_name == \"rsds\":\n",
+    "            statistic = \"mean W/m²\"\n",
+    "\n",
+    "            rows.append({\n",
+    "                \"variable\": var_name,\n",
+    "                \"statistic\": statistic,\n",
+    "                \"ERA5\": era5_y.mean(),\n",
+    "                \"CMIP\": cmip_y.mean(),\n",
+    "                \"QDM\": qdm_y.mean()\n",
+    "            })\n",
+    "\n",
+    "    return pd.DataFrame(rows)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 177,
+   "id": "7dfaa301-cb46-4891-9c6c-3af8c65964d4",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>variable</th>\n",
+       "      <th>statistic</th>\n",
+       "      <th>ERA5</th>\n",
+       "      <th>CMIP</th>\n",
+       "      <th>QDM</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>pr</td>\n",
+       "      <td>sum mm/year</td>\n",
+       "      <td>597.364853</td>\n",
+       "      <td>607.485192</td>\n",
+       "      <td>583.696337</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>tas</td>\n",
+       "      <td>mean °C</td>\n",
+       "      <td>1.458792</td>\n",
+       "      <td>1.674291</td>\n",
+       "      <td>1.379042</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>rsds</td>\n",
+       "      <td>mean W/m²</td>\n",
+       "      <td>143.142471</td>\n",
+       "      <td>138.311142</td>\n",
+       "      <td>141.201462</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>evspsblpot</td>\n",
+       "      <td>sum mm/year</td>\n",
+       "      <td>605.052421</td>\n",
+       "      <td>603.664704</td>\n",
+       "      <td>603.770733</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     variable    statistic        ERA5        CMIP         QDM\n",
+       "0          pr  sum mm/year  597.364853  607.485192  583.696337\n",
+       "1         tas      mean °C    1.458792    1.674291    1.379042\n",
+       "2        rsds    mean W/m²  143.142471  138.311142  141.201462\n",
+       "3  evspsblpot  sum mm/year  605.052421  603.664704  603.770733"
+      ]
+     },
+     "execution_count": 177,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "forcing_summary_for_year(2011)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6fb3f02a-ee69-4d00-8d57-02a3eb2ea11c",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d64afca3-3f52-430e-8f01-2f9799499a3a",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step6_CMIP_History.ipynb b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step6_CMIP_History.ipynb
new file mode 100644
index 00000000..1a6d2f60
--- /dev/null
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step6_CMIP_History.ipynb
@@ -0,0 +1,1756 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "9ca8fd44-6292-4af4-9100-d3256fccd960",
+   "metadata": {},
+   "source": [
+    "# Ensemble validation\n",
+    "\n",
+    "The 5 parameter sets calculkated in Calibration_HBV.ipynb will be used for a validation period, in which the log NSE will be calculated, a mean will be calculated and total low flow days during the navigation season.\n",
+    "\n",
+    "The structure of this notebook is as follows:\n",
+    "\n",
+    "### 1. Startup\n",
+    "### 2. Model Setup\n",
+    "### 3. Running model\n",
+    "### 4. LNSE calculation\n",
+    "### 5. Display results\n",
+    "### 6. Lowflow calculation\n",
+    "### 7. Cumsum distribution"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "bdb4216e-a341-4c2b-a410-35170773a9a7",
+   "metadata": {},
+   "source": [
+    "## 1. Startup"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 120,
+   "id": "d197b8f0-0f85-4a41-b2fb-1b2a8cf3f9f5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General python\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\", category=UserWarning)\n",
+    "\n",
+    "import numpy as np\n",
+    "from pathlib import Path\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import xarray as xr\n",
+    "from scipy.interpolate import interp1d\n",
+    "\n",
+    "# Niceties\n",
+    "from rich import print"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 148,
+   "id": "dd7b7d3f-1489-4723-bb51-f3cffcb7a85c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General eWaterCycle\n",
+    "import ewatercycle\n",
+    "import ewatercycle.models\n",
+    "import ewatercycle.forcing"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 122,
+   "id": "1c8aee93-b2d6-4291-89ae-1d29e69268cd",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Defining things\n",
+    "\n",
+    "basin_size = 132572\n",
+    "q_critical = 500"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 123,
+   "id": "d7dce039-d1f3-44a0-b646-98c32ecffb28",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Choosing time period\n",
+    "\n",
+    "# experiment_start_date = \"2019-01-01T00:00:00Z\"\n",
+    "# experiment_end_date = \"2024-12-31T00:00:00Z\"\n",
+    "\n",
+    "start_year = 2025\n",
+    "end_year = 2050\n",
+    "\n",
+    "validation_start = f\"{start_year}-01-01T00:00:00Z\"\n",
+    "validation_end = f\"{end_year}-12-31T00:00:00Z\"\n",
+    "\n",
+    "# Choose CMIP Scenario: \n",
+    "Scenario = \"ssp126\"    # Options: historical, ssp119, ssp126, ssp245, ssp,370, ssp585"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 124,
+   "id": "d330bf37-7419-4287-81af-3d09e4c7a30e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create pathways for ERA 5 forcings\n",
+    "\n",
+    "forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / f\"ERA5-{start_year}-{end_year}\"\n",
+    "\n",
+    "forcing_path_CMIP = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / Scenario / f\"CMIP6-{start_year}-{end_year}\"\n",
+    "\n",
+    "forcing_path_QDM = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / Scenario / f\"CMIP6-QDM-{start_year}-{end_year}\"\n",
+    "\n",
+    "discharge_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
+    "\n",
+    "shape_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "\n",
+    "hbv_config = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"hbv_config\"\n",
+    "hbv_config.mkdir(parents=True, exist_ok=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 125,
+   "id": "15ea4507-f559-4ef8-9756-60b8502064d7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# # Create pathways for ERA 5 forcings\n",
+    "\n",
+    "# forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"forcings\" / \"ERA5-1999-2019\"\n",
+    "\n",
+    "# discharge_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
+    "\n",
+    "# shape_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "\n",
+    "# hbv_config = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"hbv_config\"\n",
+    "# hbv_config.mkdir(parents=True, exist_ok=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 126,
+   "id": "46ea8b1e-fb73-49ed-855c-4d95cd932748",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load CSV discharge 07DA001\n",
+    "\n",
+    "q_obs = pd.read_csv(discharge_file, skiprows=1)\n",
+    "q_obs = q_obs[[\"Date\", \"Value\"]].copy()\n",
+    "q_obs[\"Date\"] = pd.to_datetime(q_obs[\"Date\"])\n",
+    "q_obs = q_obs.rename(columns={\"Value\": \"discharge_m3s\"})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 127,
+   "id": "8bb224ad-d23c-475f-b6af-4a6023a17044",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Define time period\n",
+    "validation_start_date = pd.to_datetime(validation_start.replace(\"Z\", \"\"))\n",
+    "validation_end_date = pd.to_datetime(validation_end.replace(\"Z\", \"\"))\n",
+    "\n",
+    "# Skip 1 year for filling storages\n",
+    "evaluation_start = pd.to_datetime(f\"{validation_start_date.year + 1}-01-01\")\n",
+    "\n",
+    "# Align q_obs to relevant dates\n",
+    "q_obs = q_obs[(q_obs[\"Date\"] >= validation_start_date) & (q_obs[\"Date\"] <= validation_end_date)]\n",
+    "observed_output = pd.Series(data=q_obs[\"discharge_m3s\"].to_numpy(), name=\"Observed discharge\", index=q_obs[\"Date\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 128,
+   "id": "fc27f6f8-e7ff-4be6-b073-05006d25426a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Date\n",
+       "2025-01-01    189.0\n",
+       "2025-01-02    191.0\n",
+       "2025-01-03    196.0\n",
+       "2025-01-04    201.0\n",
+       "2025-01-05    203.0\n",
+       "Name: Observed discharge, dtype: float64"
+      ]
+     },
+     "execution_count": 128,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "observed_output.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 129,
+   "id": "7f6f57aa-9f39-4524-ba3a-34f55035ebab",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1200x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot q_obs\n",
+    "\n",
+    "plt.figure(figsize=(12, 5))\n",
+    "plt.plot(q_obs[\"Date\"], q_obs[\"discharge_m3s\"])\n",
+    "\n",
+    "plt.xlabel(\"Date\")\n",
+    "plt.ylabel(\"Discharge (m³/s)\")\n",
+    "plt.title(\"Observed daily discharge at 07DA001\")\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a48b5085-6478-4cf2-bd02-75b75f82e90f",
+   "metadata": {},
+   "source": [
+    "### Generate/Load CMIP6 data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 130,
+   "id": "77e79b20-3e4d-405a-bd88-16bdc50bdb39",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">LumpedMakkinkForcing</span><span style=\"font-weight: bold\">(</span>\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">start_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'2025-01-01T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">end_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'2050-12-31T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">directory</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/ssp126/CMIP6-2025-2050'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">shape</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">filenames</span>=<span style=\"font-weight: bold\">{</span>\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'evspsblpot'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_2025_2050_evspsblpot.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'pr'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_2025_2050_pr.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'rsds'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_2025_2050_rsds.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'tas'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_2025_2050_tas.nc'</span>\n",
+       "    <span style=\"font-weight: bold\">}</span>\n",
+       "<span style=\"font-weight: bold\">)</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1;35mLumpedMakkinkForcing\u001b[0m\u001b[1m(\u001b[0m\n",
+       "    \u001b[33mstart_time\u001b[0m=\u001b[32m'2025-01-01T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mend_time\u001b[0m=\u001b[32m'2050-12-31T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mdirectory\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/ssp126/CMIP6-2025-2050'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mshape\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mfilenames\u001b[0m=\u001b[1m{\u001b[0m\n",
+       "        \u001b[32m'evspsblpot'\u001b[0m: \u001b[32m'combined_CMIP6_2025_2050_evspsblpot.nc'\u001b[0m,\n",
+       "        \u001b[32m'pr'\u001b[0m: \u001b[32m'combined_CMIP6_2025_2050_pr.nc'\u001b[0m,\n",
+       "        \u001b[32m'rsds'\u001b[0m: \u001b[32m'combined_CMIP6_2025_2050_rsds.nc'\u001b[0m,\n",
+       "        \u001b[32m'tas'\u001b[0m: \u001b[32m'combined_CMIP6_2025_2050_tas.nc'\u001b[0m\n",
+       "    \u001b[1m}\u001b[0m\n",
+       "\u001b[1m)\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Generate data\n",
+    "# CMIP_dataset = {'dataset': 'MPI-ESM1-2-HR', 'project': 'CMIP6', 'grid' : 'gn', 'exp': 'historical', 'ensemble': 'r1i1p1f1'}\n",
+    "\n",
+    "# CMIP_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].generate(\n",
+    "#     dataset=CMIP_dataset,\n",
+    "#    start_time=validation_start,\n",
+    "#    end_time=validation_end,\n",
+    "#    shape=shape_file,\n",
+    "# )\n",
+    "# CMIP_forcing_QDM = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].generate(\n",
+    "#     dataset=CMIP_dataset,\n",
+    "#    start_time=validation_start,\n",
+    "#    end_time=validation_end,\n",
+    "#    shape=shape_file,\n",
+    "# )\n",
+    "\n",
+    "# Load data\n",
+    "\n",
+    "# ERA5_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=forcing_path_ERA5)\n",
+    "\n",
+    "CMIP_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=forcing_path_CMIP)\n",
+    "\n",
+    "# QDM_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=forcing_path_QDM)\n",
+    "\n",
+    "print(CMIP_forcing)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "09f9dfb3-40c9-4689-98b8-fd1ea8fd72d1",
+   "metadata": {},
+   "source": [
+    "### Load parameter sets & initial storages"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 131,
+   "id": "ca2be146-1112-4806-a44f-d57ebd4442c9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load calibration constants\n",
+    "\n",
+    "# par_0 = [4.45787, 0.42307, 201.57602, 2.36497, 0.26755, 8.62964, 0.083568, 0.0037073, 0.29645]\n",
+    "# par_0 = [2.79874, 0.49211, 255.96478, 1.782968, 0.503199, 6.095956, 0.33279, 0.10539, 0.63857]\n",
+    "# par_0 = [6.279135, 0.4808243, 174.127749, 1.9527195, 0.3305087, 6.19919, 0.0768362, 0.004366398, 0.4076606]         # 0.725 val, 0.x cal - Fav run 2\n",
+    "# par_0 = [6.28908, 0.423917, 173.56627, 1.63144, 0.402586, 6.56151, 0.0456809, 0.00313744, 0.516696]                 # 0.702 val, 0.x cal\n",
+    "# par_0 = [6.4919, 0.386877, 221.78625, 1.388269, 0.276453, 4.9870704, 0.04126777, 0.05640195, 1.148877]              # 0.668 val, 0.x cal\n",
+    "# par_0 = [7.502398, 0.38028, 194.1899, 1.680197, 0.47956, 4.8566806, 0.041745354, 0.02833896, 1.051862]              # 0.677 val, 0.x cal\n",
+    "# par_0 = [5.5464, 0.46496, 187.8548, 1.82803, 0.440628, 6.29496, 0.062766, 0.033095, 0.80392]                        # 0.781 val, 0.776 cal\n",
+    "# par_0 = [6.16512, 0.4369419, 151.2515900, 1.727835, 0.3771705, 6.19265974, 0.06959136, 0.001310818, 0.8130732]      # 0.664 val, 0.791 cal\n",
+    "# par_0 = [5.7107, 0.441634, 172.81305, 1.87367, 0.588802, 5.498147, 0.060305, 0.019666, 1.2011814]                    # x val, 0.73 cal         Start of 5+ months exclusion\n",
+    "# par_0 = [7.35776, 0.432509, 192.67085, 1.66088, 0.289296, 5.323766, 0.037268, 0.004399, 1.146504]                    # 0.82 val, 0.818 cal - Fav run 1      \n",
+    "# par_0 = [7.23868, 0.47495, 181.82012, 1.8232, 0.4884032, 5.546412, 0.0449439, 0.00231717, 1.25052]                    #  val,  0.77 cal    \n",
+    "# par_0 = [7.9355, 0.4593, 219.6962, 1.72624, 0.26391, 5.810765, 0.04804, 0.0155065, 0.76857]                           # 0.78 val, 0.71 cal - potential inclusion\n",
+    "\n",
+    "par_ensemble = [\n",
+    "    [6.279135, 0.4808243, 174.127749, 1.9527195, 0.3305087, 6.19919, 0.0768362, 0.004366398, 0.4076606],\n",
+    "    [7.35776, 0.432509, 192.67085, 1.66088, 0.289296, 5.323766, 0.037268, 0.004399, 1.146504],\n",
+    "    [7.9355, 0.4593, 219.6962, 1.72624, 0.26391, 5.810765, 0.04804, 0.0155065, 0.76857],\n",
+    "    [5.5464, 0.46496, 187.8548, 1.82803, 0.440628, 6.29496, 0.062766, 0.033095, 0.80392],\n",
+    "   [7.23868, 0.47495, 181.82012, 1.8232, 0.4884032, 5.546412, 0.0449439, 0.00231717, 1.25052]\n",
+    "]\n",
+    "\n",
+    "\n",
+    "par_names = [\"Imax\",         # Maximum interception storage\n",
+    "               \"Ce\",         # Evaporation correction factor\n",
+    "               \"Sumax\",      # Maximum soil moisture storage\n",
+    "               \"Beta\",       # Soil runoff parameter\n",
+    "               \"Pmax\",       # Maximum percolation rate\n",
+    "               \"Tlag\",       # Time lag\n",
+    "               \"Kf\",         # Fast reservoir recession coefficient\n",
+    "               \"Ks\",         # Slow reservoir recession coefficient\n",
+    "               \"FM\"          # Snowmelt factor\n",
+    "               ]\n",
+    "\n",
+    "# Initial: par_0 = [5.085, 0.55, 100.373, 1.612, 0.545, 3.801, 0.196, 0.00, 0.185]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 132,
+   "id": "d5e5bcb4-bf90-470b-90ed-4a0b9d80c35d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Storages\n",
+    "\n",
+    "#               Si,  Su, Sf, Ss, Sp\n",
+    "s_0 = np.array([0,  100,  0,  5,  0])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "06c977b4-ba9d-4e82-8415-42180eac9f01",
+   "metadata": {},
+   "source": [
+    "## 2. Model setup"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 133,
+   "id": "055bdbc8-af1f-41ac-ad1d-b4da4d6785f6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def run_hbv(parameters, initial_storages, forcing):\n",
+    "\n",
+    "    # Creating model object\n",
+    "    model = ewatercycle.models.HBV(forcing=forcing)\n",
+    "\n",
+    "    # Creating config file\n",
+    "    config_file, _ = model.setup(\n",
+    "        parameters=parameters,\n",
+    "        initial_storages=initial_storages,\n",
+    "        cfg_dir=hbv_config\n",
+    "    )\n",
+    "\n",
+    "    # Initialising model\n",
+    "    model.initialize(config_file)\n",
+    "\n",
+    "    # Define & update outputs\n",
+    "    Q_m = []\n",
+    "    time = []\n",
+    "\n",
+    "    while model.time < model.end_time:\n",
+    "        model.update()\n",
+    "        Q_m.append(model.get_value(\"Q\")[0])\n",
+    "        time.append(pd.Timestamp(model.time_as_datetime))\n",
+    "\n",
+    "    model.finalize()\n",
+    "\n",
+    "    # Convert mm/day to m3/s\n",
+    "    model_output_mmday = pd.Series(\n",
+    "        data=Q_m,\n",
+    "        index=time,\n",
+    "        name=\"Modelled discharge\"\n",
+    "    )\n",
+    "\n",
+    "    model_output_m3s = model_output_mmday * basin_size * 1000 / 86400\n",
+    "\n",
+    "    return model_output_m3s"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0eef7e02-1e23-4d1a-99a3-56c2d3b5f62f",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "650daf1f-e90f-4b5b-aac5-eca8965de7cf",
+   "metadata": {},
+   "source": [
+    "## 3. Running model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 135,
+   "id": "44092959-524a-4330-a274-77cfad0eacd6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def run_hbv_ensemble(par_ensemble, initial_storages, forcing):\n",
+    "\n",
+    "    # Define amount of parameter sets\n",
+    "    N = len(par_ensemble)\n",
+    "    \n",
+    "    # Create dataframe to append data to & add column for observed data\n",
+    "    ensemble_data = pd.DataFrame()\n",
+    "\n",
+    "    for i in range(N):\n",
+    "\n",
+    "        print(f\"Running parameter set {i+1}/{N}\")\n",
+    "\n",
+    "        # Run HBV model for the parameter sets \n",
+    "        simulated = run_hbv(\n",
+    "            parameters=par_ensemble[i],\n",
+    "            initial_storages=initial_storages,\n",
+    "            forcing=forcing\n",
+    "        )\n",
+    "\n",
+    "        # Filter data by day only, not by day & time to prevent alignment issues\n",
+    "        simulated_daily = simulated\n",
+    "\n",
+    "        simulated_daily.index = pd.to_datetime(simulated_daily.index).tz_localize(None).normalize()\n",
+    "        simulated_daily.name = f\"Set {i+1}\"\n",
+    "         \n",
+    "        # Append new column for every parameter set results\n",
+    "        ensemble_data[f\"Set {i+1}\"] = simulated\n",
+    "\n",
+    "    # Filter observed data by day\n",
+    "    observed_daily = observed_output\n",
+    "    observed_daily.index = pd.to_datetime(observed_daily.index).tz_localize(None).normalize()\n",
+    "\n",
+    "    # Add mean of all sets\n",
+    "    ensemble_data[\"Mean\"] = ensemble_data.mean(axis=1)\n",
+    "    ensemble_data['Observed discharge'] = observed_daily\n",
+    "\n",
+    "    return ensemble_data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 136,
+   "id": "079368de-30cf-491f-8cc9-2021f6a4bfa6",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m1\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m2\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m3\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m4\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m5\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Set 1</th>\n",
+       "      <th>Set 2</th>\n",
+       "      <th>Set 3</th>\n",
+       "      <th>Set 4</th>\n",
+       "      <th>Set 5</th>\n",
+       "      <th>Mean</th>\n",
+       "      <th>Observed discharge</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2025-01-02</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>191.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2025-01-03</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>196.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2025-01-04</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>201.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2025-01-05</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>203.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2025-01-06</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>202.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            Set 1  Set 2  Set 3  Set 4  Set 5  Mean  Observed discharge\n",
+       "2025-01-02    0.0    0.0    0.0    0.0    0.0   0.0               191.0\n",
+       "2025-01-03    0.0    0.0    0.0    0.0    0.0   0.0               196.0\n",
+       "2025-01-04    0.0    0.0    0.0    0.0    0.0   0.0               201.0\n",
+       "2025-01-05    0.0    0.0    0.0    0.0    0.0   0.0               203.0\n",
+       "2025-01-06    0.0    0.0    0.0    0.0    0.0   0.0               202.0"
+      ]
+     },
+     "execution_count": 136,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# ensemble_data_ERA5 = run_hbv_ensemble(\n",
+    "#     par_ensemble=par_ensemble,\n",
+    "#     initial_storages=s_0,\n",
+    "#     forcing=ERA5_forcing\n",
+    "# )\n",
+    "\n",
+    "ensemble_data_CMIP = run_hbv_ensemble(\n",
+    "    par_ensemble=par_ensemble,\n",
+    "    initial_storages=s_0,\n",
+    "    forcing=CMIP_forcing\n",
+    ")\n",
+    "\n",
+    "# ensemble_data_QDM = run_hbv_ensemble(\n",
+    "#     par_ensemble=par_ensemble,\n",
+    "#     initial_storages=s_0,\n",
+    "#     forcing=QDM_forcing\n",
+    "# )\n",
+    "\n",
+    "# ensemble_data_ERA5.head()\n",
+    "ensemble_data_CMIP.head()\n",
+    "# ensemble_data_QDM.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "96d6162f-f432-4dfc-9194-f522a2e6a6da",
+   "metadata": {},
+   "source": [
+    "## 4. LNSE Calculation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 137,
+   "id": "37567a9e-dff3-4c80-84e0-572a6ed72b68",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Calculate log NSE\n",
+    "\n",
+    "def LNSE(sim, obs):\n",
+    "    \n",
+    "    sim = sim.to_numpy()\n",
+    "    obs = obs.to_numpy()\n",
+    "\n",
+    "    # Avoid log(0)\n",
+    "    eps = 0.00000000001\n",
+    "\n",
+    "    log_sim = np.log(sim + eps)\n",
+    "    log_obs = np.log(obs + eps)\n",
+    "\n",
+    "    return 1 - np.sum((log_obs - log_sim) ** 2) / np.sum((log_obs - np.mean(log_obs)) ** 2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 138,
+   "id": "dc7850a4-dc30-4aa7-8719-4f810760c320",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Call log NSE for relevant timeperiod\n",
+    "\n",
+    "def lnse_ensemble(ensemble_data, lnse_start, lnse_end):\n",
+    "\n",
+    "    # Select evaluation period - skip first year for storages to fill\n",
+    "    combined_data = ensemble_data[\n",
+    "        (ensemble_data.index >= lnse_start) &\n",
+    "        (ensemble_data.index <= lnse_end)\n",
+    "    ].dropna()\n",
+    "\n",
+    "    # Exclude winter months\n",
+    "    combined_data = combined_data[\n",
+    "        ~combined_data.index.month.isin([12, 1, 2, 3, 4])\n",
+    "    ]\n",
+    "\n",
+    "    lnse_results = []\n",
+    "\n",
+    "    # Calculate LNSE for all sets\n",
+    "    for i in range(len(par_ensemble)):\n",
+    "        lnse_value = LNSE(\n",
+    "            combined_data[f\"Set {i+1}\"],\n",
+    "            combined_data[\"Observed discharge\"]\n",
+    "        )\n",
+    "\n",
+    "        # Append LNSE\n",
+    "        lnse_results.append({\n",
+    "            \"Set\": f\"Set {i+1}\",\n",
+    "            \"LNSE\": lnse_value\n",
+    "        })\n",
+    "\n",
+    "    # Calculate LNSE of ensemble mean\n",
+    "    mean_lnse = LNSE(\n",
+    "        combined_data[\"Mean\"],\n",
+    "        combined_data[\"Observed discharge\"]\n",
+    "    )\n",
+    "\n",
+    "    # Append LNSE\n",
+    "    lnse_results.append({\n",
+    "        \"Set\": \"Ensemble mean\",\n",
+    "        \"LNSE\": mean_lnse\n",
+    "    })\n",
+    "\n",
+    "    lnse_results = pd.DataFrame(lnse_results)\n",
+    "\n",
+    "    return lnse_results"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 139,
+   "id": "80962ebd-6ad7-48ce-b378-acd68ed03a1e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# lnse_results_ERA5 = lnse_ensemble(\n",
+    "#     ensemble_data=ensemble_data_ERA5,\n",
+    "#     lnse_start=evaluation_start,\n",
+    "#     lnse_end=validation_end_date\n",
+    "# )\n",
+    "\n",
+    "# lnse_results_CMIP = lnse_ensemble(\n",
+    "#     ensemble_data=ensemble_data_CMIP,\n",
+    "#     lnse_start=evaluation_start,\n",
+    "#     lnse_end=validation_end_date\n",
+    "# )\n",
+    "\n",
+    "# lnse_results_QDM = lnse_ensemble(\n",
+    "#     ensemble_data=ensemble_data_QDM,\n",
+    "#     lnse_start=evaluation_start,\n",
+    "#     lnse_end=validation_end_date\n",
+    "# )\n",
+    "\n",
+    "# lnse_results_CMIP\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d9b6a719-39c6-4872-87ff-cdb65d853e42",
+   "metadata": {},
+   "source": [
+    "## 5. Display results"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 140,
+   "id": "f519854a-a994-44fd-a428-4d0c6daa98e1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def plot_ensemble(ensemble_data, plot_start, plot_end):\n",
+    "\n",
+    "    plot_start = pd.to_datetime(plot_start)\n",
+    "    plot_end = pd.to_datetime(plot_end)\n",
+    "\n",
+    "    # Filter data to start & end time\n",
+    "    plot_data = ensemble_data[\n",
+    "        (ensemble_data.index >= plot_start) &\n",
+    "        (ensemble_data.index <= plot_end)\n",
+    "    ].dropna()\n",
+    "\n",
+    "    # Define figure\n",
+    "    plt.figure()\n",
+    "    plt.figure(figsize=(20, 8))\n",
+    "\n",
+    "    # Plot sets, observed data, ensemble mean and axhline, respectively\n",
+    "    for i in range(len(par_ensemble)):\n",
+    "        plt.plot(plot_data.index, plot_data[f\"Set {i+1}\"], color=\"orange\", alpha=0.3, label=\"Parameter sets\" if i == 0 else None)\n",
+    "\n",
+    "    plt.plot(plot_data.index, plot_data[\"Observed discharge\"], label=\"Observed discharge\", linewidth=3)\n",
+    "    plt.plot(plot_data.index, plot_data[\"Mean\"], label=\"Ensemble mean\", linewidth=3)\n",
+    "    plt.axhline(y=q_critical, linestyle=\":\", color=\"black\", label=f\"Critical discharge ({q_critical} m³/s)\")\n",
+    "\n",
+    "    # Extras\n",
+    "    plt.xlabel(\"Date\")\n",
+    "    plt.ylabel(\"Discharge (m³/s)\")\n",
+    "    plt.title(\"Observed vs modelled ensemble discharge at 07DA001\")\n",
+    "    plt.legend()\n",
+    "    plt.grid(True)\n",
+    "\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 141,
+   "id": "f1bb58f8-3dee-43eb-abc8-4af333b5d064",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Plot for full evaluation period\n",
+    "\n",
+    "# plot_ensemble_ERA5 = plot_ensemble(\n",
+    "#     ensemble_data=ensemble_data_ERA5,\n",
+    "#     plot_start=evaluation_start,\n",
+    "#     plot_end=validation_end_date\n",
+    "# )\n",
+    "\n",
+    "# plot_ensemble_CMIP = plot_ensemble(\n",
+    "#     ensemble_data=ensemble_data_CMIP,\n",
+    "#     plot_start=evaluation_start,\n",
+    "#     plot_end=validation_end_date\n",
+    "# )\n",
+    "\n",
+    "# plot_ensemble_QDM = plot_ensemble(\n",
+    "#     ensemble_data=ensemble_data_QDM,\n",
+    "#     plot_start=evaluation_start,\n",
+    "#     plot_end=validation_end_date\n",
+    "# )"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 142,
+   "id": "b835010a-b272-46b7-9c20-b0db1a99506b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 640x480 with 0 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 2000x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot for selected year\n",
+    "\n",
+    "selected_year = 2036\n",
+    "\n",
+    "# plot_ensemble(\n",
+    "#     ensemble_data=ensemble_data_ERA5,\n",
+    "#     plot_start=pd.to_datetime(f\"{selected_year}-01-01\"),\n",
+    "#     plot_end=pd.to_datetime(f\"{selected_year}-12-31\")\n",
+    "# )\n",
+    "\n",
+    "plot_ensemble(\n",
+    "    ensemble_data=ensemble_data_CMIP,\n",
+    "    plot_start=pd.to_datetime(f\"{selected_year}-01-01\"),\n",
+    "    plot_end=pd.to_datetime(f\"{selected_year}-12-31\")\n",
+    ")\n",
+    "\n",
+    "# plot_ensemble(\n",
+    "#     ensemble_data=ensemble_data_QDM,\n",
+    "#     plot_start=pd.to_datetime(f\"{selected_year}-01-01\"),\n",
+    "#     plot_end=pd.to_datetime(f\"{selected_year}-12-31\")\n",
+    "# )"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d017577d-79da-4a97-9522-81f4c307f3aa",
+   "metadata": {},
+   "source": [
+    "## 6. Lowflow calculation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 143,
+   "id": "dcc14e37-5aea-4b00-ae71-32b68ee03d4a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def lowflow_counter_ensemble(ensemble_data, start_date, end_date):\n",
+    "    \n",
+    "    lowflow_days = []\n",
+    "\n",
+    "    years = list(range(start_date.year, end_date.year + 1))\n",
+    "\n",
+    "    for i in range(len(years)):\n",
+    "    \n",
+    "        year = years[i]\n",
+    "    \n",
+    "        # Define start and end month-day\n",
+    "        year_start = pd.to_datetime(f\"{year}-05-18\")\n",
+    "        year_end = pd.to_datetime(f\"{year}-10-17\")\n",
+    "    \n",
+    "        year_data = ensemble_data[\n",
+    "            (ensemble_data.index >= year_start) &\n",
+    "            (ensemble_data.index <= year_end)\n",
+    "        ]\n",
+    "\n",
+    "        # Set zeros to count from\n",
+    "        observed_lowflow_days = 0\n",
+    "        modelled_lowflow_days = []\n",
+    "        modelmean_lowflow_days = 0\n",
+    "\n",
+    "        # Count observed lowflow days\n",
+    "        for j in range(len(year_data)):\n",
+    "            observed_q = year_data.iloc[j][\"Observed discharge\"]\n",
+    "\n",
+    "            if observed_q < q_critical:\n",
+    "                observed_lowflow_days += 1\n",
+    "\n",
+    "        # Count model mean lowflow days\n",
+    "        for j in range(len(year_data)):\n",
+    "            modelmean_q = year_data.iloc[j][\"Mean\"]\n",
+    "\n",
+    "            if modelmean_q < q_critical:\n",
+    "                modelmean_lowflow_days += 1\n",
+    "\n",
+    "        # Count modelled lowflow days\n",
+    "        for j in range(len(par_ensemble)):\n",
+    "            set_lowflow_days = 0\n",
+    "\n",
+    "            for k in range(len(year_data)):\n",
+    "                set_q = year_data.iloc[k][f\"Set {j+1}\"]\n",
+    "\n",
+    "                if set_q < q_critical:\n",
+    "                    set_lowflow_days += 1\n",
+    "\n",
+    "            modelled_lowflow_days.append(set_lowflow_days)\n",
+    "\n",
+    "        setavg_lowflow_days = np.mean(modelled_lowflow_days)\n",
+    "        \n",
+    "        lowflow_days.append({\n",
+    "            \"year\": year,\n",
+    "            \"observed\": observed_lowflow_days,\n",
+    "            \"modelmean\": modelmean_lowflow_days,\n",
+    "            \"set_1\": modelled_lowflow_days[0],\n",
+    "            \"set_2\": modelled_lowflow_days[1],\n",
+    "            \"set_3\": modelled_lowflow_days[2],\n",
+    "            \"set_4\": modelled_lowflow_days[3],\n",
+    "            \"set_5\": modelled_lowflow_days[4],\n",
+    "            \"set_avg\": np.round(setavg_lowflow_days)\n",
+    "        })\n",
+    "\n",
+    "    lowflow_days = pd.DataFrame(lowflow_days)\n",
+    "\n",
+    "    days_sum = lowflow_days[[\"observed\", \"modelmean\", \"set_1\", \"set_2\", \"set_3\", \"set_4\", \"set_5\", \"set_avg\"]].sum()\n",
+    "\n",
+    "    print(days_sum)\n",
+    "\n",
+    "    return lowflow_days"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 147,
+   "id": "7460b853-5619-44c9-ac89-3c6fc099bde6",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">observed        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.0</span>\n",
+       "modelmean     <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">878.0</span>\n",
+       "set_1        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1159.0</span>\n",
+       "set_2         <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">760.0</span>\n",
+       "set_3         <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">889.0</span>\n",
+       "set_4         <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">980.0</span>\n",
+       "set_5         <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">557.0</span>\n",
+       "set_avg       <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">870.0</span>\n",
+       "dtype: float64\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "observed        \u001b[1;36m0.0\u001b[0m\n",
+       "modelmean     \u001b[1;36m878.0\u001b[0m\n",
+       "set_1        \u001b[1;36m1159.0\u001b[0m\n",
+       "set_2         \u001b[1;36m760.0\u001b[0m\n",
+       "set_3         \u001b[1;36m889.0\u001b[0m\n",
+       "set_4         \u001b[1;36m980.0\u001b[0m\n",
+       "set_5         \u001b[1;36m557.0\u001b[0m\n",
+       "set_avg       \u001b[1;36m870.0\u001b[0m\n",
+       "dtype: float64\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>year</th>\n",
+       "      <th>observed</th>\n",
+       "      <th>modelmean</th>\n",
+       "      <th>set_1</th>\n",
+       "      <th>set_2</th>\n",
+       "      <th>set_3</th>\n",
+       "      <th>set_4</th>\n",
+       "      <th>set_5</th>\n",
+       "      <th>set_avg</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2026</td>\n",
+       "      <td>0</td>\n",
+       "      <td>22</td>\n",
+       "      <td>48</td>\n",
+       "      <td>16</td>\n",
+       "      <td>19</td>\n",
+       "      <td>19</td>\n",
+       "      <td>20</td>\n",
+       "      <td>24.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2027</td>\n",
+       "      <td>0</td>\n",
+       "      <td>34</td>\n",
+       "      <td>51</td>\n",
+       "      <td>25</td>\n",
+       "      <td>36</td>\n",
+       "      <td>39</td>\n",
+       "      <td>22</td>\n",
+       "      <td>35.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2028</td>\n",
+       "      <td>0</td>\n",
+       "      <td>22</td>\n",
+       "      <td>27</td>\n",
+       "      <td>19</td>\n",
+       "      <td>22</td>\n",
+       "      <td>22</td>\n",
+       "      <td>13</td>\n",
+       "      <td>21.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2029</td>\n",
+       "      <td>0</td>\n",
+       "      <td>25</td>\n",
+       "      <td>38</td>\n",
+       "      <td>20</td>\n",
+       "      <td>25</td>\n",
+       "      <td>26</td>\n",
+       "      <td>10</td>\n",
+       "      <td>24.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2030</td>\n",
+       "      <td>0</td>\n",
+       "      <td>75</td>\n",
+       "      <td>86</td>\n",
+       "      <td>71</td>\n",
+       "      <td>73</td>\n",
+       "      <td>82</td>\n",
+       "      <td>54</td>\n",
+       "      <td>73.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>2031</td>\n",
+       "      <td>0</td>\n",
+       "      <td>45</td>\n",
+       "      <td>52</td>\n",
+       "      <td>29</td>\n",
+       "      <td>42</td>\n",
+       "      <td>47</td>\n",
+       "      <td>4</td>\n",
+       "      <td>35.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>2032</td>\n",
+       "      <td>0</td>\n",
+       "      <td>52</td>\n",
+       "      <td>62</td>\n",
+       "      <td>46</td>\n",
+       "      <td>52</td>\n",
+       "      <td>60</td>\n",
+       "      <td>32</td>\n",
+       "      <td>50.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>2033</td>\n",
+       "      <td>0</td>\n",
+       "      <td>44</td>\n",
+       "      <td>49</td>\n",
+       "      <td>41</td>\n",
+       "      <td>48</td>\n",
+       "      <td>50</td>\n",
+       "      <td>28</td>\n",
+       "      <td>43.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>2034</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>11</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>14</td>\n",
+       "      <td>0</td>\n",
+       "      <td>5.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>2035</td>\n",
+       "      <td>0</td>\n",
+       "      <td>143</td>\n",
+       "      <td>141</td>\n",
+       "      <td>145</td>\n",
+       "      <td>143</td>\n",
+       "      <td>145</td>\n",
+       "      <td>142</td>\n",
+       "      <td>143.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>2036</td>\n",
+       "      <td>0</td>\n",
+       "      <td>35</td>\n",
+       "      <td>43</td>\n",
+       "      <td>31</td>\n",
+       "      <td>35</td>\n",
+       "      <td>39</td>\n",
+       "      <td>25</td>\n",
+       "      <td>35.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>2037</td>\n",
+       "      <td>0</td>\n",
+       "      <td>35</td>\n",
+       "      <td>42</td>\n",
+       "      <td>30</td>\n",
+       "      <td>33</td>\n",
+       "      <td>36</td>\n",
+       "      <td>27</td>\n",
+       "      <td>34.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>2038</td>\n",
+       "      <td>0</td>\n",
+       "      <td>63</td>\n",
+       "      <td>75</td>\n",
+       "      <td>47</td>\n",
+       "      <td>60</td>\n",
+       "      <td>73</td>\n",
+       "      <td>40</td>\n",
+       "      <td>59.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>2039</td>\n",
+       "      <td>0</td>\n",
+       "      <td>53</td>\n",
+       "      <td>59</td>\n",
+       "      <td>49</td>\n",
+       "      <td>53</td>\n",
+       "      <td>55</td>\n",
+       "      <td>38</td>\n",
+       "      <td>51.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>2040</td>\n",
+       "      <td>0</td>\n",
+       "      <td>46</td>\n",
+       "      <td>73</td>\n",
+       "      <td>49</td>\n",
+       "      <td>55</td>\n",
+       "      <td>44</td>\n",
+       "      <td>8</td>\n",
+       "      <td>46.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>2041</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>6</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>2042</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>2043</td>\n",
+       "      <td>0</td>\n",
+       "      <td>30</td>\n",
+       "      <td>53</td>\n",
+       "      <td>20</td>\n",
+       "      <td>35</td>\n",
+       "      <td>43</td>\n",
+       "      <td>11</td>\n",
+       "      <td>32.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>2044</td>\n",
+       "      <td>0</td>\n",
+       "      <td>59</td>\n",
+       "      <td>63</td>\n",
+       "      <td>56</td>\n",
+       "      <td>60</td>\n",
+       "      <td>61</td>\n",
+       "      <td>48</td>\n",
+       "      <td>58.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>2045</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>15</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>4.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>2046</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>13</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>2047</td>\n",
+       "      <td>0</td>\n",
+       "      <td>23</td>\n",
+       "      <td>34</td>\n",
+       "      <td>15</td>\n",
+       "      <td>23</td>\n",
+       "      <td>26</td>\n",
+       "      <td>0</td>\n",
+       "      <td>20.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>2048</td>\n",
+       "      <td>0</td>\n",
+       "      <td>24</td>\n",
+       "      <td>37</td>\n",
+       "      <td>15</td>\n",
+       "      <td>24</td>\n",
+       "      <td>29</td>\n",
+       "      <td>11</td>\n",
+       "      <td>23.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>2049</td>\n",
+       "      <td>0</td>\n",
+       "      <td>33</td>\n",
+       "      <td>57</td>\n",
+       "      <td>27</td>\n",
+       "      <td>32</td>\n",
+       "      <td>49</td>\n",
+       "      <td>24</td>\n",
+       "      <td>38.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>2050</td>\n",
+       "      <td>0</td>\n",
+       "      <td>15</td>\n",
+       "      <td>22</td>\n",
+       "      <td>6</td>\n",
+       "      <td>15</td>\n",
+       "      <td>16</td>\n",
+       "      <td>0</td>\n",
+       "      <td>12.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    year  observed  modelmean  set_1  set_2  set_3  set_4  set_5  set_avg\n",
+       "0   2026         0         22     48     16     19     19     20     24.0\n",
+       "1   2027         0         34     51     25     36     39     22     35.0\n",
+       "2   2028         0         22     27     19     22     22     13     21.0\n",
+       "3   2029         0         25     38     20     25     26     10     24.0\n",
+       "4   2030         0         75     86     71     73     82     54     73.0\n",
+       "5   2031         0         45     52     29     42     47      4     35.0\n",
+       "6   2032         0         52     62     46     52     60     32     50.0\n",
+       "7   2033         0         44     49     41     48     50     28     43.0\n",
+       "8   2034         0          0     11      0      1     14      0      5.0\n",
+       "9   2035         0        143    141    145    143    145    142    143.0\n",
+       "10  2036         0         35     43     31     35     39     25     35.0\n",
+       "11  2037         0         35     42     30     33     36     27     34.0\n",
+       "12  2038         0         63     75     47     60     73     40     59.0\n",
+       "13  2039         0         53     59     49     53     55     38     51.0\n",
+       "14  2040         0         46     73     49     55     44      8     46.0\n",
+       "15  2041         0          0      6      3      0      3      0      2.0\n",
+       "16  2042         0          0      2      0      0      0      0      0.0\n",
+       "17  2043         0         30     53     20     35     43     11     32.0\n",
+       "18  2044         0         59     63     56     60     61     48     58.0\n",
+       "19  2045         0          0     15      0      3      2      0      4.0\n",
+       "20  2046         0          0     13      0      0      0      0      3.0\n",
+       "21  2047         0         23     34     15     23     26      0     20.0\n",
+       "22  2048         0         24     37     15     24     29     11     23.0\n",
+       "23  2049         0         33     57     27     32     49     24     38.0\n",
+       "24  2050         0         15     22      6     15     16      0     12.0"
+      ]
+     },
+     "execution_count": 147,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# lowflow_ERA5 = lowflow_counter_ensemble(\n",
+    "#     ensemble_data=ensemble_data_ERA5,\n",
+    "#     start_date=evaluation_start,\n",
+    "#     end_date=validation_end_date\n",
+    "# )\n",
+    "\n",
+    "lowflow_CMIP = lowflow_counter_ensemble(\n",
+    "    ensemble_data=ensemble_data_CMIP,\n",
+    "    start_date=evaluation_start,\n",
+    "    end_date=validation_end_date\n",
+    ")\n",
+    "\n",
+    "# lowflow_QDM = lowflow_counter_ensemble(\n",
+    "#     ensemble_data=ensemble_data_QDM,\n",
+    "#     start_date=evaluation_start,\n",
+    "#     end_date=validation_end_date\n",
+    "# )\n",
+    "\n",
+    "lowflow_CMIP"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d98001e7-ada9-4415-ae0b-ed7cb8888319",
+   "metadata": {},
+   "source": [
+    "## 7. Cumsum"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 145,
+   "id": "1e9e205d-08bf-4f19-9b12-a0141a4fad99",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def rank(lowflow_ERA5, lowflow_CMIP):\n",
+    "\n",
+    "    # Combine tables\n",
+    "    rank_table = pd.DataFrame({\n",
+    "        \"Observed\": np.sort(lowflow_ERA5[\"observed\"]),\n",
+    "        \"ERA5\": np.sort(lowflow_ERA5[\"set_avg\"]),\n",
+    "        \"CMIP6\": np.sort(lowflow_CMIP[\"set_avg\"]),\n",
+    "        \"QDM\": np.sort(lowflow_QDM[\"set_avg\"])\n",
+    "    })\n",
+    "    \n",
+    "    rank_table.insert(0, \"rank\", range(1, len(rank_table) + 1))\n",
+    "\n",
+    "    return rank_table"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 146,
+   "id": "02d8a545-838c-4da5-9935-22f34d49f4ee",
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "ValueError",
+     "evalue": "All arrays must be of the same length",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[146], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m rank_table \u001b[38;5;241m=\u001b[39m \u001b[43mrank\u001b[49m\u001b[43m(\u001b[49m\u001b[43mlowflow_ERA5\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlowflow_CMIP\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m      2\u001b[0m rank_table \u001b[38;5;241m=\u001b[39m rank(lowflow_ERA5, lowflow_CMIP)\n\u001b[1;32m      4\u001b[0m rank_table\n",
+      "Cell \u001b[0;32mIn[145], line 4\u001b[0m, in \u001b[0;36mrank\u001b[0;34m(lowflow_ERA5, lowflow_CMIP)\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21mrank\u001b[39m(lowflow_ERA5, lowflow_CMIP):\n\u001b[1;32m      2\u001b[0m \n\u001b[1;32m      3\u001b[0m     \u001b[38;5;66;03m# Combine tables\u001b[39;00m\n\u001b[0;32m----> 4\u001b[0m     rank_table \u001b[38;5;241m=\u001b[39m \u001b[43mpd\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mDataFrame\u001b[49m\u001b[43m(\u001b[49m\u001b[43m{\u001b[49m\n\u001b[1;32m      5\u001b[0m \u001b[43m        \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mObserved\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msort\u001b[49m\u001b[43m(\u001b[49m\u001b[43mlowflow_ERA5\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mobserved\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m      6\u001b[0m \u001b[43m        \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mERA5\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msort\u001b[49m\u001b[43m(\u001b[49m\u001b[43mlowflow_ERA5\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mset_avg\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m      7\u001b[0m \u001b[43m        \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mCMIP6\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msort\u001b[49m\u001b[43m(\u001b[49m\u001b[43mlowflow_CMIP\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mset_avg\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m      8\u001b[0m \u001b[43m        \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mQDM\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msort\u001b[49m\u001b[43m(\u001b[49m\u001b[43mlowflow_QDM\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mset_avg\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m      9\u001b[0m \u001b[43m    \u001b[49m\u001b[43m}\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     11\u001b[0m     rank_table\u001b[38;5;241m.\u001b[39minsert(\u001b[38;5;241m0\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mrank\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28mrange\u001b[39m(\u001b[38;5;241m1\u001b[39m, \u001b[38;5;28mlen\u001b[39m(rank_table) \u001b[38;5;241m+\u001b[39m \u001b[38;5;241m1\u001b[39m))\n\u001b[1;32m     13\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m rank_table\n",
+      "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/pandas/core/frame.py:778\u001b[0m, in \u001b[0;36mDataFrame.__init__\u001b[0;34m(self, data, index, columns, dtype, copy)\u001b[0m\n\u001b[1;32m    772\u001b[0m     mgr \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_init_mgr(\n\u001b[1;32m    773\u001b[0m         data, axes\u001b[38;5;241m=\u001b[39m{\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mindex\u001b[39m\u001b[38;5;124m\"\u001b[39m: index, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcolumns\u001b[39m\u001b[38;5;124m\"\u001b[39m: columns}, dtype\u001b[38;5;241m=\u001b[39mdtype, copy\u001b[38;5;241m=\u001b[39mcopy\n\u001b[1;32m    774\u001b[0m     )\n\u001b[1;32m    776\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(data, \u001b[38;5;28mdict\u001b[39m):\n\u001b[1;32m    777\u001b[0m     \u001b[38;5;66;03m# GH#38939 de facto copy defaults to False only in non-dict cases\u001b[39;00m\n\u001b[0;32m--> 778\u001b[0m     mgr \u001b[38;5;241m=\u001b[39m \u001b[43mdict_to_mgr\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdata\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mindex\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcolumns\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdtype\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdtype\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcopy\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcopy\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtyp\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmanager\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    779\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(data, ma\u001b[38;5;241m.\u001b[39mMaskedArray):\n\u001b[1;32m    780\u001b[0m     \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mnumpy\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mma\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m mrecords\n",
+      "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/pandas/core/internals/construction.py:503\u001b[0m, in \u001b[0;36mdict_to_mgr\u001b[0;34m(data, index, columns, dtype, typ, copy)\u001b[0m\n\u001b[1;32m    499\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m    500\u001b[0m         \u001b[38;5;66;03m# dtype check to exclude e.g. range objects, scalars\u001b[39;00m\n\u001b[1;32m    501\u001b[0m         arrays \u001b[38;5;241m=\u001b[39m [x\u001b[38;5;241m.\u001b[39mcopy() \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mhasattr\u001b[39m(x, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdtype\u001b[39m\u001b[38;5;124m\"\u001b[39m) \u001b[38;5;28;01melse\u001b[39;00m x \u001b[38;5;28;01mfor\u001b[39;00m x \u001b[38;5;129;01min\u001b[39;00m arrays]\n\u001b[0;32m--> 503\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43marrays_to_mgr\u001b[49m\u001b[43m(\u001b[49m\u001b[43marrays\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcolumns\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mindex\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdtype\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdtype\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtyp\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtyp\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mconsolidate\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcopy\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/pandas/core/internals/construction.py:114\u001b[0m, in \u001b[0;36marrays_to_mgr\u001b[0;34m(arrays, columns, index, dtype, verify_integrity, typ, consolidate)\u001b[0m\n\u001b[1;32m    111\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m verify_integrity:\n\u001b[1;32m    112\u001b[0m     \u001b[38;5;66;03m# figure out the index, if necessary\u001b[39;00m\n\u001b[1;32m    113\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m index \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m--> 114\u001b[0m         index \u001b[38;5;241m=\u001b[39m \u001b[43m_extract_index\u001b[49m\u001b[43m(\u001b[49m\u001b[43marrays\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    115\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m    116\u001b[0m         index \u001b[38;5;241m=\u001b[39m ensure_index(index)\n",
+      "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/pandas/core/internals/construction.py:677\u001b[0m, in \u001b[0;36m_extract_index\u001b[0;34m(data)\u001b[0m\n\u001b[1;32m    675\u001b[0m lengths \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mlist\u001b[39m(\u001b[38;5;28mset\u001b[39m(raw_lengths))\n\u001b[1;32m    676\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(lengths) \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m1\u001b[39m:\n\u001b[0;32m--> 677\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mAll arrays must be of the same length\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m    679\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m have_dicts:\n\u001b[1;32m    680\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[1;32m    681\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mMixing dicts with non-Series may lead to ambiguous ordering.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    682\u001b[0m     )\n",
+      "\u001b[0;31mValueError\u001b[0m: All arrays must be of the same length"
+     ]
+    }
+   ],
+   "source": [
+    "rank_table = rank(lowflow_ERA5, lowflow_CMIP)\n",
+    "rank_table = rank(lowflow_ERA5, lowflow_CMIP)\n",
+    "\n",
+    "rank_table"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f87182f3-7a63-4856-9594-f53b5dd421b8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "cumsum_table = pd.DataFrame({\n",
+    "    \"Observed_cumsum\": rank_table[\"Observed\"].cumsum(),\n",
+    "     \"ERA5_cumsum\": rank_table[\"ERA5\"].cumsum(),\n",
+    "    \"CMIP6_cumsum\": rank_table[\"CMIP6\"].cumsum(),\n",
+    "    \"QDM_cumsum\": rank_table[\"QDM\"].cumsum()\n",
+    "})\n",
+    "\n",
+    "cumsum_table"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "78105310-3388-48fa-9471-54003b019753",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def plot_cumsum(rank_table):\n",
+    "\n",
+    "    plt.figure(figsize=(8, 5))\n",
+    "\n",
+    "    # Plot cumsum for all columns, skipping rank column\n",
+    "    for i in range(1, len(rank_table.columns)):\n",
+    "        plt.plot(\n",
+    "            rank_table[\"rank\"],\n",
+    "            rank_table[rank_table.columns[i]].cumsum(),\n",
+    "            marker=\"o\",\n",
+    "            label=rank_table.columns[i]\n",
+    "        )\n",
+    "\n",
+    "    # Plotting\n",
+    "    plt.xlabel(\"Ranked years\")\n",
+    "    plt.ylabel(\"Cumulative low flow days\")\n",
+    "    plt.xticks(rank_table[\"rank\"])\n",
+    "    plt.title(\"Cumulative annual low flow days\")\n",
+    "    # plt.grid(True)\n",
+    "    plt.legend()\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b3fa8488-2d3f-4dbd-b82c-e3f8c5bb04d8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plot_cumsum(rank_table)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3abc8ad5-90fd-4ce8-bb44-4a5d8540b1d9",
+   "metadata": {},
+   "source": [
+    "## 8. Quantile Mapping"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cee6e4aa-f4be-45c7-9d7a-d70782c60ad4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def quantile_mapping(observed, modelled, n):\n",
+    "    # Define a common quantile grid (e.g., 1000 points between 0 and 1)\n",
+    "    quantiles = np.linspace(0, 1, n)\n",
+    "\n",
+    "    # Sort the data\n",
+    "    observed_sorted = np.sort(observed)\n",
+    "    modelled_sorted = np.sort(modelled)\n",
+    "\n",
+    "    # Interpolate both series onto the common quantile grid\n",
+    "    observed_interpolated = interp1d(np.linspace(0, 1, len(observed_sorted)), observed_sorted, bounds_error=False, fill_value=\"extrapolate\")\n",
+    "    modelled_interpolated = interp1d(np.linspace(0, 1, len(modelled_sorted)), modelled_sorted, bounds_error=False, fill_value=\"extrapolate\")\n",
+    "\n",
+    "    observed_on_quantiles = observed_interpolated(quantiles)\n",
+    "    modelled_on_quantiles = modelled_interpolated(quantiles)\n",
+    "\n",
+    "    # Create mapping from modelled deficits to observed using interpolation\n",
+    "    mapping_function = interp1d(modelled_on_quantiles, observed_on_quantiles, bounds_error=False, fill_value=\"extrapolate\")\n",
+    "\n",
+    "    return mapping_function"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ccfd9d00-8165-4a95-a9bc-04d017c2d150",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def correct_discharge_ensemble(\n",
+    "    ensemble_data,\n",
+    "    observed_output,\n",
+    "    start_date,\n",
+    "    end_date,\n",
+    "    n=1000\n",
+    "):\n",
+    "\n",
+    "    corrected_data = pd.DataFrame(index=ensemble_data.index)\n",
+    "\n",
+    "    # Prepare observed discharge\n",
+    "    observed = observed_output.copy()\n",
+    "    observed.index = pd.to_datetime(observed.index).tz_localize(None).normalize()\n",
+    "\n",
+    "    # Prepare model data\n",
+    "    modelled = ensemble_data.copy()\n",
+    "    modelled.index = pd.to_datetime(modelled.index).tz_localize(None).normalize()\n",
+    "\n",
+    "    # Select calibration period\n",
+    "    start_date = pd.to_datetime(start_date).tz_localize(None).normalize()\n",
+    "    end_date = pd.to_datetime(end_date).tz_localize(None).normalize()\n",
+    "\n",
+    "    observed_period = observed[(observed.index >= start_date) & (observed.index <= end_date)]\n",
+    "    modelled_period = modelled[(modelled.index >= start_date) & (modelled.index <= end_date)]\n",
+    "\n",
+    "    # Correct every parameter set\n",
+    "    for i in range(len(par_ensemble)):\n",
+    "\n",
+    "        set_name = f\"Set {i+1}\"\n",
+    "\n",
+    "        qm_function = quantile_mapping(\n",
+    "            observed=observed_period,\n",
+    "            modelled=modelled_period[set_name],\n",
+    "            n=n\n",
+    "        )\n",
+    "\n",
+    "        corrected_data[set_name] = qm_function(modelled[set_name])\n",
+    "\n",
+    "    # Remove negative discharge\n",
+    "    corrected_data[corrected_data < 0] = 0\n",
+    "\n",
+    "    # Recalculate mean\n",
+    "    corrected_data[\"Mean\"] = corrected_data.mean(axis=1)\n",
+    "\n",
+    "    # Add observed discharge for comparison\n",
+    "    corrected_data[\"Observed discharge\"] = observed\n",
+    "\n",
+    "    return corrected_data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2d4ef549-838f-44ce-884b-99c5a3447cbd",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ensemble_data_CMIP_corrected = correct_discharge_ensemble(\n",
+    "    ensemble_data=ensemble_data_CMIP,\n",
+    "    observed_output=observed_output,\n",
+    "    start_date=evaluation_start,\n",
+    "    end_date=validation_end_date,\n",
+    "    n=1000\n",
+    ")\n",
+    "\n",
+    "ensemble_data_CMIP_corrected.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "63008778-e23d-4fae-b8f9-f61c789934d7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "lowflow_CMIP_corrected = lowflow_counter_ensemble(\n",
+    "    ensemble_data=ensemble_data_CMIP_corrected,\n",
+    "    start_date=evaluation_start,\n",
+    "    end_date=validation_end_date\n",
+    ")\n",
+    "\n",
+    "lowflow_CMIP_corrected"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "14776cc2-254f-49bf-9c37-5bb2c3295806",
+   "metadata": {},
+   "source": [
+    "## 9. Test test"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ad520100-76e2-4a62-b450-4e010ca226d3",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "39bd4f11-bc62-4310-a64d-0a7742962a5d",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "09522b58-9fc4-4222-92d7-6d6d241e13df",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "64d999a0-114a-4c60-bf94-516959483af9",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "242c2ced-687e-48a6-b160-e50c208e50cb",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step7_CMIP_Projections.ipynb b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step7_CMIP_Projections.ipynb
new file mode 100644
index 00000000..ef8aa845
--- /dev/null
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step7_CMIP_Projections.ipynb
@@ -0,0 +1,489 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "6571f48a-467c-4dc9-8c4b-6029d09672e7",
+   "metadata": {},
+   "source": [
+    "# CMIP Projections\n",
+    "\n",
+    "The 5 parameter sets calculkated in Calibration_HBV.ipynb will be used for a validation period, in which the log NSE will be calculated, a mean will be calculated and total low flow days during the navigation season.\n",
+    "\n",
+    "The structure of this notebook is as follows:\n",
+    "\n",
+    "### 1. Startup\n",
+    "### 2. Model setup\n",
+    "### 3. Running model\n",
+    "### 4. Lowflow calculation"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "14ec2576-8826-48ce-9b0d-3c28be7fec68",
+   "metadata": {},
+   "source": [
+    "## 1. Startup"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "71668e92-f5c4-49b2-9eed-20f91997c193",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Imports\n",
+    "\n",
+    "# General python\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\", category=UserWarning)\n",
+    "\n",
+    "import numpy as np\n",
+    "from pathlib import Path\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import xarray as xr\n",
+    "from scipy.interpolate import interp1d\n",
+    "\n",
+    "# Niceties\n",
+    "from rich import print"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "f2135c0b-ba31-4f05-bf37-435a99b1788f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General eWaterCycle\n",
+    "import ewatercycle\n",
+    "import ewatercycle.models\n",
+    "import ewatercycle.forcing"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "c5166bb7-f81f-4967-a65a-d1933464ce7f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Defining things\n",
+    "\n",
+    "basin_size = 132572\n",
+    "q_critical = 500\n",
+    "\n",
+    "start_year = 2025\n",
+    "end_year = 2050\n",
+    "\n",
+    "# Choose CMIP Scenario: \n",
+    "Scenario = \"ssp126\"    # Options: historical, ssp119, ssp126, ssp245, ssp,370, ssp585\n",
+    "Scenario = {\"ssp126\", \"sspx\", \"sspx\"}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c398fe4d-66fb-430a-8f82-ad85e924f592",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create pathways for ERA 5 forcings\n",
+    "\n",
+    "forcing_path_CMIP = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / Scenario / f\"CMIP6-{start_year}-{end_year}\"\n",
+    "\n",
+    "shape_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "\n",
+    "hbv_config = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"hbv_config\"\n",
+    "hbv_config.mkdir(parents=True, exist_ok=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "a7bab7da-b7e7-442c-b4b0-e5c3b0ededcb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Adjust time period\n",
+    "\n",
+    "validation_start = f\"{start_year}-01-01T00:00:00Z\"\n",
+    "validation_end = f\"{end_year}-12-31T00:00:00Z\"\n",
+    "\n",
+    "# Define time period\n",
+    "validation_start_date = pd.to_datetime(validation_start.replace(\"Z\", \"\"))\n",
+    "validation_end_date = pd.to_datetime(validation_end.replace(\"Z\", \"\"))\n",
+    "\n",
+    "# Skip 1 year for filling storages\n",
+    "evaluation_start = pd.to_datetime(f\"{validation_start_date.year + 1}-01-01\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "47ca81c0-59ac-40b1-8cdd-ea6bb4ea1e0d",
+   "metadata": {},
+   "source": [
+    "### Load CMIP data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "c0873cb8-69da-49cd-84fe-d45d9684277f",
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "NameError",
+     "evalue": "name 'forcing_path_CMIP' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[6], line 2\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;66;03m# Load data\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m CMIP_forcing \u001b[38;5;241m=\u001b[39m ewatercycle\u001b[38;5;241m.\u001b[39mforcing\u001b[38;5;241m.\u001b[39msources[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mLumpedMakkinkForcing\u001b[39m\u001b[38;5;124m\"\u001b[39m]\u001b[38;5;241m.\u001b[39mload(directory\u001b[38;5;241m=\u001b[39m\u001b[43mforcing_path_CMIP\u001b[49m)\n\u001b[1;32m      4\u001b[0m \u001b[38;5;28mprint\u001b[39m(CMIP_forcing)\n",
+      "\u001b[0;31mNameError\u001b[0m: name 'forcing_path_CMIP' is not defined"
+     ]
+    }
+   ],
+   "source": [
+    "# Load data\n",
+    "CMIP_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=forcing_path_CMIP)\n",
+    "\n",
+    "print(CMIP_forcing)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f4a7211e-cb74-4a90-8229-de7000cf2dd5",
+   "metadata": {},
+   "source": [
+    "## 2. Model setup"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d31e5426-3e95-4902-913c-c40da613b8aa",
+   "metadata": {},
+   "source": [
+    "### Load parameter sets & initial storages"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d776ff36-b69a-4321-9468-d4fa85350ef3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Define parameter ensemble\n",
+    "\n",
+    "par_ensemble = [\n",
+    "    [6.279135, 0.4808243, 174.127749, 1.9527195, 0.3305087, 6.19919, 0.0768362, 0.004366398, 0.4076606],\n",
+    "    [7.35776, 0.432509, 192.67085, 1.66088, 0.289296, 5.323766, 0.037268, 0.004399, 1.146504],\n",
+    "    [7.9355, 0.4593, 219.6962, 1.72624, 0.26391, 5.810765, 0.04804, 0.0155065, 0.76857],\n",
+    "    [5.5464, 0.46496, 187.8548, 1.82803, 0.440628, 6.29496, 0.062766, 0.033095, 0.80392],\n",
+    "   [7.23868, 0.47495, 181.82012, 1.8232, 0.4884032, 5.546412, 0.0449439, 0.00231717, 1.25052]\n",
+    "]\n",
+    "\n",
+    "\n",
+    "par_names = [\"Imax\",         # Maximum interception storage\n",
+    "               \"Ce\",         # Evaporation correction factor\n",
+    "               \"Sumax\",      # Maximum soil moisture storage\n",
+    "               \"Beta\",       # Soil runoff parameter\n",
+    "               \"Pmax\",       # Maximum percolation rate\n",
+    "               \"Tlag\",       # Time lag\n",
+    "               \"Kf\",         # Fast reservoir recession coefficient\n",
+    "               \"Ks\",         # Slow reservoir recession coefficient\n",
+    "               \"FM\"          # Snowmelt factor\n",
+    "               ]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c60f825e-520a-4b00-83ab-16bdcfe60471",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Define initial storages\n",
+    "\n",
+    "#               Si,  Su, Sf, Ss, Sp\n",
+    "s_0 = np.array([0,  100,  0,  5,  0])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "70ba5ea1-8a76-463a-a14c-415673632103",
+   "metadata": {},
+   "source": [
+    "### Config model "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "70664027-bb24-47cc-814d-eb8eccbc1715",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Model setup create function\n",
+    "\n",
+    "def run_hbv(parameters, initial_storages, forcing):\n",
+    "\n",
+    "    # Creating model object\n",
+    "    model = ewatercycle.models.HBV(forcing=forcing)\n",
+    "\n",
+    "    # Creating config file\n",
+    "    config_file, _ = model.setup(\n",
+    "        parameters=parameters,\n",
+    "        initial_storages=initial_storages,\n",
+    "        cfg_dir=hbv_config\n",
+    "    )\n",
+    "\n",
+    "    # Initialising model\n",
+    "    model.initialize(config_file)\n",
+    "\n",
+    "    # Define & update outputs\n",
+    "    Q_m = []\n",
+    "    time = []\n",
+    "\n",
+    "    while model.time < model.end_time:\n",
+    "        model.update()\n",
+    "        Q_m.append(model.get_value(\"Q\")[0])\n",
+    "        time.append(pd.Timestamp(model.time_as_datetime))\n",
+    "\n",
+    "    model.finalize()\n",
+    "\n",
+    "    # Convert mm/day to m3/s\n",
+    "    model_output_mmday = pd.Series(\n",
+    "        data=Q_m,\n",
+    "        index=time,\n",
+    "        name=\"Modelled discharge\"\n",
+    "    )\n",
+    "\n",
+    "    model_output_m3s = model_output_mmday * basin_size * 1000 / 86400\n",
+    "\n",
+    "    return model_output_m3s"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fc3a24e7-53d6-4b62-aab1-ea705cefa75a",
+   "metadata": {},
+   "source": [
+    "## 3. Running model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1dab11de-a9f9-4e58-bc05-29926875e2d0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Model running create function\n",
+    "\n",
+    "def run_hbv_ensemble(par_ensemble, initial_storages, forcing):\n",
+    "\n",
+    "    # Define amount of parameter sets\n",
+    "    N = len(par_ensemble)\n",
+    "    \n",
+    "    # Create dataframe to append data to & add column for observed data\n",
+    "    ensemble_data = pd.DataFrame()\n",
+    "\n",
+    "    for i in range(N):\n",
+    "\n",
+    "        print(f\"Running parameter set {i+1}/{N}\")\n",
+    "\n",
+    "        # Run HBV model for the parameter sets \n",
+    "        simulated = run_hbv(\n",
+    "            parameters=par_ensemble[i],\n",
+    "            initial_storages=initial_storages,\n",
+    "            forcing=forcing\n",
+    "        )\n",
+    "\n",
+    "        # Filter data by day only, not by day & time to prevent alignment issues\n",
+    "        simulated_daily = simulated\n",
+    "\n",
+    "        simulated_daily.index = pd.to_datetime(simulated_daily.index).tz_localize(None).normalize()\n",
+    "        simulated_daily.name = f\"Set {i+1}\"\n",
+    "         \n",
+    "        # Append new column for every parameter set results\n",
+    "        ensemble_data[f\"Set {i+1}\"] = simulated\n",
+    "\n",
+    "    # Filter observed data by day\n",
+    "    observed_daily = observed_output\n",
+    "    observed_daily.index = pd.to_datetime(observed_daily.index).tz_localize(None).normalize()\n",
+    "\n",
+    "    # Add mean of all sets\n",
+    "    ensemble_data[\"Mean\"] = ensemble_data.mean(axis=1)\n",
+    "    ensemble_data['Observed discharge'] = observed_daily\n",
+    "\n",
+    "    return ensemble_data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8e42b731-3b74-43e3-bef9-267ca46cbe5d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Run model functions\n",
+    "\n",
+    "ensemble_data_CMIP = run_hbv_ensemble(\n",
+    "    par_ensemble=par_ensemble,\n",
+    "    initial_storages=s_0,\n",
+    "    forcing=CMIP_forcing\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "110cc380-2552-4be7-9846-5cc8b21d1b9d",
+   "metadata": {},
+   "source": [
+    "## 4. Lowflow calculation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4092c20d-19a6-4245-bfc9-a83ae151ba62",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create low flow counter function\n",
+    "\n",
+    "def lowflow_counter_ensemble(ensemble_data, start_date, end_date):\n",
+    "    \n",
+    "    lowflow_days = []\n",
+    "\n",
+    "    years = list(range(start_date.year, end_date.year + 1))\n",
+    "\n",
+    "    for i in range(len(years)):\n",
+    "    \n",
+    "        year = years[i]\n",
+    "    \n",
+    "        # Define start and end month-day\n",
+    "        year_start = pd.to_datetime(f\"{year}-05-18\")\n",
+    "        year_end = pd.to_datetime(f\"{year}-10-17\")\n",
+    "    \n",
+    "        year_data = ensemble_data[\n",
+    "            (ensemble_data.index >= year_start) &\n",
+    "            (ensemble_data.index <= year_end)\n",
+    "        ]\n",
+    "\n",
+    "        # Set zeros to count from\n",
+    "        observed_lowflow_days = 0\n",
+    "        modelled_lowflow_days = []\n",
+    "        modelmean_lowflow_days = 0\n",
+    "\n",
+    "        # Count observed lowflow days\n",
+    "        for j in range(len(year_data)):\n",
+    "            observed_q = year_data.iloc[j][\"Observed discharge\"]\n",
+    "\n",
+    "            if observed_q < q_critical:\n",
+    "                observed_lowflow_days += 1\n",
+    "\n",
+    "        # Count model mean lowflow days\n",
+    "        for j in range(len(year_data)):\n",
+    "            modelmean_q = year_data.iloc[j][\"Mean\"]\n",
+    "\n",
+    "            if modelmean_q < q_critical:\n",
+    "                modelmean_lowflow_days += 1\n",
+    "\n",
+    "        # Count modelled lowflow days\n",
+    "        for j in range(len(par_ensemble)):\n",
+    "            set_lowflow_days = 0\n",
+    "\n",
+    "            for k in range(len(year_data)):\n",
+    "                set_q = year_data.iloc[k][f\"Set {j+1}\"]\n",
+    "\n",
+    "                if set_q < q_critical:\n",
+    "                    set_lowflow_days += 1\n",
+    "\n",
+    "            modelled_lowflow_days.append(set_lowflow_days)\n",
+    "\n",
+    "        setavg_lowflow_days = np.mean(modelled_lowflow_days)\n",
+    "        \n",
+    "        lowflow_days.append({\n",
+    "            \"year\": year,\n",
+    "            \"observed\": observed_lowflow_days,\n",
+    "            \"modelmean\": modelmean_lowflow_days,\n",
+    "            \"set_1\": modelled_lowflow_days[0],\n",
+    "            \"set_2\": modelled_lowflow_days[1],\n",
+    "            \"set_3\": modelled_lowflow_days[2],\n",
+    "            \"set_4\": modelled_lowflow_days[3],\n",
+    "            \"set_5\": modelled_lowflow_days[4],\n",
+    "            \"set_avg\": np.round(setavg_lowflow_days)\n",
+    "        })\n",
+    "\n",
+    "    lowflow_days = pd.DataFrame(lowflow_days)\n",
+    "\n",
+    "    days_sum = lowflow_days[[\"observed\", \"modelmean\", \"set_1\", \"set_2\", \"set_3\", \"set_4\", \"set_5\", \"set_avg\"]].sum()\n",
+    "\n",
+    "    print(days_sum)\n",
+    "\n",
+    "    return lowflow_days"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "4f2191db-b514-4312-bd9a-7301f1f95381",
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "NameError",
+     "evalue": "name 'lowflow_counter_ensemble' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[7], line 3\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;66;03m# Run function\u001b[39;00m\n\u001b[0;32m----> 3\u001b[0m lowflow_CMIP \u001b[38;5;241m=\u001b[39m \u001b[43mlowflow_counter_ensemble\u001b[49m(\n\u001b[1;32m      4\u001b[0m     ensemble_data\u001b[38;5;241m=\u001b[39mensemble_data_CMIP,\n\u001b[1;32m      5\u001b[0m     start_date\u001b[38;5;241m=\u001b[39mevaluation_start,\n\u001b[1;32m      6\u001b[0m     end_date\u001b[38;5;241m=\u001b[39mvalidation_end_date\n\u001b[1;32m      7\u001b[0m )\n",
+      "\u001b[0;31mNameError\u001b[0m: name 'lowflow_counter_ensemble' is not defined"
+     ]
+    }
+   ],
+   "source": [
+    "# Run function\n",
+    "\n",
+    "lowflow_CMIP = lowflow_counter_ensemble(\n",
+    "    ensemble_data=ensemble_data_CMIP,\n",
+    "    start_date=evaluation_start,\n",
+    "    end_date=validation_end_date\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "09a29265-5d22-4916-874e-270a2107fd53",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

From 778fbc184fa57ca835bb396e73356af5b0b8e44e Mon Sep 17 00:00:00 2001
From: Maxime <mxdebekker@gmail.com>
Date: Thu, 4 Jun 2026 10:15:32 +0200
Subject: [PATCH 10/24] File relocation

File relocation of shapefiles, bonus notebooks and observed data
---
 ...07DA001_discharge_daily_withoutmissing.csv | 24744 ++++++++++++++++
 .../Calibration file deletion.ipynb           |   138 +
 .../Step2_Calibration_trial.ipynb             |  4767 +++
 .../Step2_Trial_model_LAR.ipynb               |   867 +
 .../Workyard/Shapefiles/07DA001_basin.cpg     |     1 +
 .../Workyard/Shapefiles/07DA001_basin.dbf     |   Bin 0 -> 1641 bytes
 .../Workyard/Shapefiles/07DA001_basin.prj     |     1 +
 .../Workyard/Shapefiles/07DA001_basin.qmd     |    27 +
 .../Workyard/Shapefiles/07DA001_basin.shp     |   Bin 0 -> 1628460 bytes
 .../Workyard/Shapefiles/07DA001_basin.shx     |   Bin 0 -> 108 bytes
 10 files changed, 30545 insertions(+)
 create mode 100644 book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/07DA001_discharge_daily_withoutmissing.csv
 create mode 100644 book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Draft notebooks/Calibration file deletion.ipynb
 create mode 100644 book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Draft notebooks/Step2_Calibration_trial.ipynb
 create mode 100644 book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Draft notebooks/Step2_Trial_model_LAR.ipynb
 create mode 100644 book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Shapefiles/07DA001_basin.cpg
 create mode 100644 book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Shapefiles/07DA001_basin.dbf
 create mode 100644 book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Shapefiles/07DA001_basin.prj
 create mode 100644 book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Shapefiles/07DA001_basin.qmd
 create mode 100644 book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Shapefiles/07DA001_basin.shp
 create mode 100644 book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Shapefiles/07DA001_basin.shx

diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/07DA001_discharge_daily_withoutmissing.csv b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/07DA001_discharge_daily_withoutmissing.csv
new file mode 100644
index 00000000..f253723b
--- /dev/null
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/07DA001_discharge_daily_withoutmissing.csv
@@ -0,0 +1,24744 @@
+Daily Discharge (m3/s) (PARAM = 1) and Daily Water Level (m) (PARAM = 2)
+ ID,PARAM,Date,Value,SYM
+07DA001,1,1957/10/01,467,
+07DA001,1,1957/10/02,467,
+07DA001,1,1957/10/03,467,
+07DA001,1,1957/10/04,476,
+07DA001,1,1957/10/05,487,
+07DA001,1,1957/10/06,496,
+07DA001,1,1957/10/07,501,
+07DA001,1,1957/10/08,535,
+07DA001,1,1957/10/09,541,
+07DA001,1,1957/10/10,544,
+07DA001,1,1957/10/11,524,
+07DA001,1,1957/10/12,510,
+07DA001,1,1957/10/13,510,
+07DA001,1,1957/10/14,521,
+07DA001,1,1957/10/15,530,
+07DA001,1,1957/10/16,544,
+07DA001,1,1957/10/17,561,
+07DA001,1,1957/10/18,586,
+07DA001,1,1957/10/19,626,
+07DA001,1,1957/10/20,685,
+07DA001,1,1957/10/21,728,
+07DA001,1,1957/10/22,688,B
+07DA001,1,1957/10/23,651,B
+07DA001,1,1957/10/24,623,B
+07DA001,1,1957/10/25,572,B
+07DA001,1,1957/10/26,538,B
+07DA001,1,1957/10/27,498,B
+07DA001,1,1957/10/28,413,B
+07DA001,1,1957/10/29,394,B
+07DA001,1,1957/10/30,394,B
+07DA001,1,1957/10/31,416,B
+07DA001,1,1957/11/01,481,B
+07DA001,1,1957/11/02,530,B
+07DA001,1,1957/11/03,538,B
+07DA001,1,1957/11/04,541,B
+07DA001,1,1957/11/05,547,B
+07DA001,1,1957/11/06,575,B
+07DA001,1,1957/11/07,572,B
+07DA001,1,1957/11/08,538,B
+07DA001,1,1957/11/09,513,B
+07DA001,1,1957/11/10,484,B
+07DA001,1,1957/11/11,470,B
+07DA001,1,1957/11/12,462,B
+07DA001,1,1957/11/13,445,B
+07DA001,1,1957/11/14,439,B
+07DA001,1,1957/11/15,411,B
+07DA001,1,1957/11/16,419,B
+07DA001,1,1957/11/17,462,B
+07DA001,1,1957/11/18,436,B
+07DA001,1,1957/11/19,396,B
+07DA001,1,1957/11/20,402,B
+07DA001,1,1957/11/21,362,B
+07DA001,1,1957/11/22,331,B
+07DA001,1,1957/11/23,323,B
+07DA001,1,1957/11/24,292,B
+07DA001,1,1957/11/25,294,B
+07DA001,1,1957/11/26,354,B
+07DA001,1,1957/11/27,377,B
+07DA001,1,1957/11/28,337,B
+07DA001,1,1957/11/29,385,B
+07DA001,1,1957/11/30,422,B
+07DA001,1,1957/12/01,464,B
+07DA001,1,1957/12/02,385,B
+07DA001,1,1957/12/03,314,B
+07DA001,1,1957/12/04,394,B
+07DA001,1,1957/12/05,345,B
+07DA001,1,1957/12/06,300,B
+07DA001,1,1957/12/07,306,B
+07DA001,1,1957/12/08,311,B
+07DA001,1,1957/12/09,252,B
+07DA001,1,1957/12/10,244,B
+07DA001,1,1957/12/11,179,B
+07DA001,1,1957/12/12,292,B
+07DA001,1,1957/12/13,328,B
+07DA001,1,1957/12/14,323,B
+07DA001,1,1957/12/15,297,B
+07DA001,1,1957/12/16,255,B
+07DA001,1,1957/12/17,283,B
+07DA001,1,1957/12/18,297,B
+07DA001,1,1957/12/19,283,B
+07DA001,1,1957/12/20,283,B
+07DA001,1,1957/12/21,278,B
+07DA001,1,1957/12/22,255,B
+07DA001,1,1957/12/23,258,B
+07DA001,1,1957/12/24,263,B
+07DA001,1,1957/12/25,246,B
+07DA001,1,1957/12/26,244,B
+07DA001,1,1957/12/27,246,B
+07DA001,1,1957/12/28,241,B
+07DA001,1,1957/12/29,238,B
+07DA001,1,1957/12/30,244,B
+07DA001,1,1957/12/31,235,B
+07DA001,1,1958/01/01,246,B
+07DA001,1,1958/01/02,244,B
+07DA001,1,1958/01/03,238,B
+07DA001,1,1958/01/04,241,B
+07DA001,1,1958/01/05,232,B
+07DA001,1,1958/01/06,224,B
+07DA001,1,1958/01/07,227,B
+07DA001,1,1958/01/08,229,B
+07DA001,1,1958/01/09,218,B
+07DA001,1,1958/01/10,215,B
+07DA001,1,1958/01/11,215,B
+07DA001,1,1958/01/12,215,B
+07DA001,1,1958/01/13,215,B
+07DA001,1,1958/01/14,215,B
+07DA001,1,1958/01/15,215,B
+07DA001,1,1958/01/16,215,B
+07DA001,1,1958/01/17,215,B
+07DA001,1,1958/01/18,212,B
+07DA001,1,1958/01/19,212,B
+07DA001,1,1958/01/20,212,B
+07DA001,1,1958/01/21,207,B
+07DA001,1,1958/01/22,204,B
+07DA001,1,1958/01/23,204,B
+07DA001,1,1958/01/24,201,B
+07DA001,1,1958/01/25,204,B
+07DA001,1,1958/01/26,204,B
+07DA001,1,1958/01/27,204,B
+07DA001,1,1958/01/28,201,B
+07DA001,1,1958/01/29,198,B
+07DA001,1,1958/01/30,195,B
+07DA001,1,1958/01/31,195,B
+07DA001,1,1958/02/01,198,B
+07DA001,1,1958/02/02,195,B
+07DA001,1,1958/02/03,193,B
+07DA001,1,1958/02/04,195,B
+07DA001,1,1958/02/05,195,B
+07DA001,1,1958/02/06,195,B
+07DA001,1,1958/02/07,193,B
+07DA001,1,1958/02/08,193,B
+07DA001,1,1958/02/09,187,B
+07DA001,1,1958/02/10,184,B
+07DA001,1,1958/02/11,179,B
+07DA001,1,1958/02/12,178,B
+07DA001,1,1958/02/13,176,B
+07DA001,1,1958/02/14,173,B
+07DA001,1,1958/02/15,167,B
+07DA001,1,1958/02/16,164,B
+07DA001,1,1958/02/17,164,B
+07DA001,1,1958/02/18,161,B
+07DA001,1,1958/02/19,161,B
+07DA001,1,1958/02/20,164,B
+07DA001,1,1958/02/21,164,B
+07DA001,1,1958/02/22,170,B
+07DA001,1,1958/02/23,170,B
+07DA001,1,1958/02/24,170,B
+07DA001,1,1958/02/25,176,B
+07DA001,1,1958/02/26,178,B
+07DA001,1,1958/02/27,181,B
+07DA001,1,1958/02/28,181,B
+07DA001,1,1958/03/01,184,B
+07DA001,1,1958/03/02,184,B
+07DA001,1,1958/03/03,184,B
+07DA001,1,1958/03/04,190,B
+07DA001,1,1958/03/05,190,B
+07DA001,1,1958/03/06,190,B
+07DA001,1,1958/03/07,190,B
+07DA001,1,1958/03/08,190,B
+07DA001,1,1958/03/09,187,B
+07DA001,1,1958/03/10,184,B
+07DA001,1,1958/03/11,181,B
+07DA001,1,1958/03/12,181,B
+07DA001,1,1958/03/13,181,B
+07DA001,1,1958/03/14,184,B
+07DA001,1,1958/03/15,181,B
+07DA001,1,1958/03/16,181,B
+07DA001,1,1958/03/17,181,B
+07DA001,1,1958/03/18,181,B
+07DA001,1,1958/03/19,181,B
+07DA001,1,1958/03/20,178,B
+07DA001,1,1958/03/21,179,B
+07DA001,1,1958/03/22,178,B
+07DA001,1,1958/03/23,178,B
+07DA001,1,1958/03/24,178,B
+07DA001,1,1958/03/25,173,B
+07DA001,1,1958/03/26,170,B
+07DA001,1,1958/03/27,173,B
+07DA001,1,1958/03/28,178,B
+07DA001,1,1958/03/29,181,B
+07DA001,1,1958/03/30,181,B
+07DA001,1,1958/03/31,181,B
+07DA001,1,1958/04/01,187,B
+07DA001,1,1958/04/02,195,B
+07DA001,1,1958/04/03,201,B
+07DA001,1,1958/04/04,210,B
+07DA001,1,1958/04/05,215,B
+07DA001,1,1958/04/06,221,B
+07DA001,1,1958/04/07,244,B
+07DA001,1,1958/04/08,294,B
+07DA001,1,1958/04/09,360,B
+07DA001,1,1958/04/10,459,B
+07DA001,1,1958/04/11,646,B
+07DA001,1,1958/04/12,807,B
+07DA001,1,1958/04/13,960,B
+07DA001,1,1958/04/14,1060,B
+07DA001,1,1958/04/15,1180,B
+07DA001,1,1958/04/16,1220,B
+07DA001,1,1958/04/17,1440,B
+07DA001,1,1958/04/18,1510,B
+07DA001,1,1958/04/19,1700,B
+07DA001,1,1958/04/20,1980,B
+07DA001,1,1958/04/21,1780,B
+07DA001,1,1958/04/22,1810,B
+07DA001,1,1958/04/23,1730,B
+07DA001,1,1958/04/24,1680,B
+07DA001,1,1958/04/25,1640,B
+07DA001,1,1958/04/26,1570,B
+07DA001,1,1958/04/27,1500,
+07DA001,1,1958/04/28,1410,
+07DA001,1,1958/04/29,1350,
+07DA001,1,1958/04/30,1250,A
+07DA001,1,1958/05/01,1180,
+07DA001,1,1958/05/02,1110,
+07DA001,1,1958/05/03,1050,
+07DA001,1,1958/05/04,1030,
+07DA001,1,1958/05/05,1040,
+07DA001,1,1958/05/06,1060,
+07DA001,1,1958/05/07,1120,
+07DA001,1,1958/05/08,1150,
+07DA001,1,1958/05/09,1190,
+07DA001,1,1958/05/10,1220,
+07DA001,1,1958/05/11,1250,
+07DA001,1,1958/05/12,1260,
+07DA001,1,1958/05/13,1310,
+07DA001,1,1958/05/14,1310,
+07DA001,1,1958/05/15,1290,
+07DA001,1,1958/05/16,1310,
+07DA001,1,1958/05/17,1340,
+07DA001,1,1958/05/18,1280,
+07DA001,1,1958/05/19,1190,
+07DA001,1,1958/05/20,1120,
+07DA001,1,1958/05/21,1080,
+07DA001,1,1958/05/22,1070,
+07DA001,1,1958/05/23,1050,
+07DA001,1,1958/05/24,1020,
+07DA001,1,1958/05/25,997,
+07DA001,1,1958/05/26,1030,
+07DA001,1,1958/05/27,1150,
+07DA001,1,1958/05/28,1240,
+07DA001,1,1958/05/29,1300,
+07DA001,1,1958/05/30,1290,
+07DA001,1,1958/05/31,1290,
+07DA001,1,1958/06/01,1290,
+07DA001,1,1958/06/02,1260,
+07DA001,1,1958/06/03,1280,
+07DA001,1,1958/06/04,1420,
+07DA001,1,1958/06/05,1440,
+07DA001,1,1958/06/06,1330,
+07DA001,1,1958/06/07,1260,
+07DA001,1,1958/06/08,1220,
+07DA001,1,1958/06/09,1170,
+07DA001,1,1958/06/10,1140,
+07DA001,1,1958/06/11,1130,
+07DA001,1,1958/06/12,1120,
+07DA001,1,1958/06/13,1140,
+07DA001,1,1958/06/14,1120,
+07DA001,1,1958/06/15,1120,
+07DA001,1,1958/06/16,1100,
+07DA001,1,1958/06/17,1050,
+07DA001,1,1958/06/18,983,
+07DA001,1,1958/06/19,915,
+07DA001,1,1958/06/20,898,
+07DA001,1,1958/06/21,915,
+07DA001,1,1958/06/22,903,
+07DA001,1,1958/06/23,881,
+07DA001,1,1958/06/24,886,
+07DA001,1,1958/06/25,883,
+07DA001,1,1958/06/26,858,
+07DA001,1,1958/06/27,830,
+07DA001,1,1958/06/28,816,
+07DA001,1,1958/06/29,830,
+07DA001,1,1958/06/30,852,
+07DA001,1,1958/07/01,875,
+07DA001,1,1958/07/02,1280,
+07DA001,1,1958/07/03,2380,
+07DA001,1,1958/07/04,2170,
+07DA001,1,1958/07/05,1950,
+07DA001,1,1958/07/06,1830,
+07DA001,1,1958/07/07,1590,
+07DA001,1,1958/07/08,1410,
+07DA001,1,1958/07/09,1290,
+07DA001,1,1958/07/10,1210,
+07DA001,1,1958/07/11,1130,
+07DA001,1,1958/07/12,1050,
+07DA001,1,1958/07/13,988,
+07DA001,1,1958/07/14,943,
+07DA001,1,1958/07/15,912,
+07DA001,1,1958/07/16,900,
+07DA001,1,1958/07/17,903,
+07DA001,1,1958/07/18,923,
+07DA001,1,1958/07/19,895,
+07DA001,1,1958/07/20,830,
+07DA001,1,1958/07/21,784,
+07DA001,1,1958/07/22,765,
+07DA001,1,1958/07/23,770,
+07DA001,1,1958/07/24,776,
+07DA001,1,1958/07/25,767,
+07DA001,1,1958/07/26,759,
+07DA001,1,1958/07/27,756,
+07DA001,1,1958/07/28,756,
+07DA001,1,1958/07/29,765,
+07DA001,1,1958/07/30,711,
+07DA001,1,1958/07/31,680,
+07DA001,1,1958/08/01,665,
+07DA001,1,1958/08/02,648,
+07DA001,1,1958/08/03,648,
+07DA001,1,1958/08/04,648,
+07DA001,1,1958/08/05,648,
+07DA001,1,1958/08/06,665,
+07DA001,1,1958/08/07,671,
+07DA001,1,1958/08/08,651,
+07DA001,1,1958/08/09,620,
+07DA001,1,1958/08/10,612,
+07DA001,1,1958/08/11,572,
+07DA001,1,1958/08/12,541,
+07DA001,1,1958/08/13,569,
+07DA001,1,1958/08/14,592,
+07DA001,1,1958/08/15,564,
+07DA001,1,1958/08/16,561,
+07DA001,1,1958/08/17,558,
+07DA001,1,1958/08/18,552,
+07DA001,1,1958/08/19,549,
+07DA001,1,1958/08/20,544,
+07DA001,1,1958/08/21,535,
+07DA001,1,1958/08/22,532,
+07DA001,1,1958/08/23,530,
+07DA001,1,1958/08/24,541,
+07DA001,1,1958/08/25,544,
+07DA001,1,1958/08/26,532,
+07DA001,1,1958/08/27,524,
+07DA001,1,1958/08/28,527,
+07DA001,1,1958/08/29,524,
+07DA001,1,1958/08/30,515,
+07DA001,1,1958/08/31,530,
+07DA001,1,1958/09/01,552,
+07DA001,1,1958/09/02,572,
+07DA001,1,1958/09/03,527,
+07DA001,1,1958/09/04,498,
+07DA001,1,1958/09/05,484,
+07DA001,1,1958/09/06,467,
+07DA001,1,1958/09/07,484,
+07DA001,1,1958/09/08,524,
+07DA001,1,1958/09/09,487,
+07DA001,1,1958/09/10,450,
+07DA001,1,1958/09/11,428,
+07DA001,1,1958/09/12,408,
+07DA001,1,1958/09/13,394,
+07DA001,1,1958/09/14,405,
+07DA001,1,1958/09/15,442,
+07DA001,1,1958/09/16,467,
+07DA001,1,1958/09/17,501,
+07DA001,1,1958/09/18,518,
+07DA001,1,1958/09/19,532,
+07DA001,1,1958/09/20,555,
+07DA001,1,1958/09/21,572,
+07DA001,1,1958/09/22,549,
+07DA001,1,1958/09/23,518,
+07DA001,1,1958/09/24,501,
+07DA001,1,1958/09/25,504,
+07DA001,1,1958/09/26,490,
+07DA001,1,1958/09/27,470,
+07DA001,1,1958/09/28,464,
+07DA001,1,1958/09/29,456,
+07DA001,1,1958/09/30,436,
+07DA001,1,1958/10/01,425,E
+07DA001,1,1958/10/02,416,E
+07DA001,1,1958/10/03,416,E
+07DA001,1,1958/10/04,402,E
+07DA001,1,1958/10/05,416,E
+07DA001,1,1958/10/06,428,E
+07DA001,1,1958/10/07,425,E
+07DA001,1,1958/10/08,419,E
+07DA001,1,1958/10/09,408,E
+07DA001,1,1958/10/10,413,E
+07DA001,1,1958/10/11,430,E
+07DA001,1,1958/10/12,425,E
+07DA001,1,1958/10/13,419,E
+07DA001,1,1958/10/14,405,E
+07DA001,1,1958/10/15,399,
+07DA001,1,1958/10/16,394,
+07DA001,1,1958/10/17,385,
+07DA001,1,1958/10/18,379,
+07DA001,1,1958/10/19,379,
+07DA001,1,1958/10/20,385,
+07DA001,1,1958/10/21,396,
+07DA001,1,1958/10/22,405,
+07DA001,1,1958/10/23,411,
+07DA001,1,1958/10/24,408,
+07DA001,1,1958/10/25,402,
+07DA001,1,1958/10/26,385,
+07DA001,1,1958/10/27,377,
+07DA001,1,1958/10/28,374,
+07DA001,1,1958/10/29,368,
+07DA001,1,1958/10/30,362,
+07DA001,1,1958/10/31,354,
+07DA001,1,1958/11/01,348,
+07DA001,1,1958/11/02,343,
+07DA001,1,1958/11/03,340,B
+07DA001,1,1958/11/04,337,B
+07DA001,1,1958/11/05,328,B
+07DA001,1,1958/11/06,323,B
+07DA001,1,1958/11/07,314,B
+07DA001,1,1958/11/08,297,B
+07DA001,1,1958/11/09,300,B
+07DA001,1,1958/11/10,289,B
+07DA001,1,1958/11/11,277,B
+07DA001,1,1958/11/12,289,B
+07DA001,1,1958/11/13,273,B
+07DA001,1,1958/11/14,273,B
+07DA001,1,1958/11/15,253,B
+07DA001,1,1958/11/16,227,B
+07DA001,1,1958/11/17,180,B
+07DA001,1,1958/11/18,168,B
+07DA001,1,1958/11/19,177,B
+07DA001,1,1958/11/20,159,B
+07DA001,1,1958/11/21,168,B
+07DA001,1,1958/11/22,169,B
+07DA001,1,1958/11/23,167,B
+07DA001,1,1958/11/24,158,B
+07DA001,1,1958/11/25,148,B
+07DA001,1,1958/11/26,139,B
+07DA001,1,1958/11/27,136,B
+07DA001,1,1958/11/28,137,B
+07DA001,1,1958/11/29,135,B
+07DA001,1,1958/11/30,131,B
+07DA001,1,1958/12/01,144,B
+07DA001,1,1958/12/02,153,B
+07DA001,1,1958/12/03,152,B
+07DA001,1,1958/12/04,145,B
+07DA001,1,1958/12/05,140,B
+07DA001,1,1958/12/06,139,B
+07DA001,1,1958/12/07,137,B
+07DA001,1,1958/12/08,141,B
+07DA001,1,1958/12/09,146,B
+07DA001,1,1958/12/10,150,B
+07DA001,1,1958/12/11,161,B
+07DA001,1,1958/12/12,164,B
+07DA001,1,1958/12/13,155,B
+07DA001,1,1958/12/14,145,B
+07DA001,1,1958/12/15,140,B
+07DA001,1,1958/12/16,137,B
+07DA001,1,1958/12/17,136,B
+07DA001,1,1958/12/18,134,B
+07DA001,1,1958/12/19,134,B
+07DA001,1,1958/12/20,139,B
+07DA001,1,1958/12/21,144,B
+07DA001,1,1958/12/22,150,B
+07DA001,1,1958/12/23,157,B
+07DA001,1,1958/12/24,161,B
+07DA001,1,1958/12/25,164,B
+07DA001,1,1958/12/26,164,B
+07DA001,1,1958/12/27,170,B
+07DA001,1,1958/12/28,169,B
+07DA001,1,1958/12/29,167,B
+07DA001,1,1958/12/30,165,B
+07DA001,1,1958/12/31,167,B
+07DA001,1,1959/01/01,166,B
+07DA001,1,1959/01/02,161,B
+07DA001,1,1959/01/03,155,B
+07DA001,1,1959/01/04,146,B
+07DA001,1,1959/01/05,140,B
+07DA001,1,1959/01/06,128,B
+07DA001,1,1959/01/07,122,B
+07DA001,1,1959/01/08,125,B
+07DA001,1,1959/01/09,127,B
+07DA001,1,1959/01/10,128,B
+07DA001,1,1959/01/11,124,B
+07DA001,1,1959/01/12,120,B
+07DA001,1,1959/01/13,116,B
+07DA001,1,1959/01/14,115,B
+07DA001,1,1959/01/15,114,B
+07DA001,1,1959/01/16,114,B
+07DA001,1,1959/01/17,115,B
+07DA001,1,1959/01/18,116,B
+07DA001,1,1959/01/19,116,B
+07DA001,1,1959/01/20,117,B
+07DA001,1,1959/01/21,118,B
+07DA001,1,1959/01/22,118,B
+07DA001,1,1959/01/23,118,B
+07DA001,1,1959/01/24,118,B
+07DA001,1,1959/01/25,117,B
+07DA001,1,1959/01/26,117,B
+07DA001,1,1959/01/27,117,B
+07DA001,1,1959/01/28,117,B
+07DA001,1,1959/01/29,116,B
+07DA001,1,1959/01/30,115,B
+07DA001,1,1959/01/31,114,B
+07DA001,1,1959/02/01,114,B
+07DA001,1,1959/02/02,115,B
+07DA001,1,1959/02/03,115,B
+07DA001,1,1959/02/04,114,B
+07DA001,1,1959/02/05,115,B
+07DA001,1,1959/02/06,114,B
+07DA001,1,1959/02/07,114,B
+07DA001,1,1959/02/08,113,B
+07DA001,1,1959/02/09,111,B
+07DA001,1,1959/02/10,110,B
+07DA001,1,1959/02/11,109,B
+07DA001,1,1959/02/12,108,B
+07DA001,1,1959/02/13,109,B
+07DA001,1,1959/02/14,109,B
+07DA001,1,1959/02/15,109,B
+07DA001,1,1959/02/16,108,B
+07DA001,1,1959/02/17,107,B
+07DA001,1,1959/02/18,107,B
+07DA001,1,1959/02/19,109,B
+07DA001,1,1959/02/20,110,B
+07DA001,1,1959/02/21,111,B
+07DA001,1,1959/02/22,111,B
+07DA001,1,1959/02/23,112,B
+07DA001,1,1959/02/24,112,B
+07DA001,1,1959/02/25,113,B
+07DA001,1,1959/02/26,113,B
+07DA001,1,1959/02/27,113,B
+07DA001,1,1959/02/28,112,B
+07DA001,1,1959/03/01,113,B
+07DA001,1,1959/03/02,114,B
+07DA001,1,1959/03/03,115,B
+07DA001,1,1959/03/04,115,B
+07DA001,1,1959/03/05,115,B
+07DA001,1,1959/03/06,115,B
+07DA001,1,1959/03/07,115,B
+07DA001,1,1959/03/08,115,B
+07DA001,1,1959/03/09,115,B
+07DA001,1,1959/03/10,116,B
+07DA001,1,1959/03/11,116,B
+07DA001,1,1959/03/12,114,B
+07DA001,1,1959/03/13,115,B
+07DA001,1,1959/03/14,116,B
+07DA001,1,1959/03/15,117,B
+07DA001,1,1959/03/16,118,B
+07DA001,1,1959/03/17,119,B
+07DA001,1,1959/03/18,120,B
+07DA001,1,1959/03/19,121,B
+07DA001,1,1959/03/20,122,B
+07DA001,1,1959/03/21,123,B
+07DA001,1,1959/03/22,125,B
+07DA001,1,1959/03/23,126,B
+07DA001,1,1959/03/24,127,B
+07DA001,1,1959/03/25,129,B
+07DA001,1,1959/03/26,134,B
+07DA001,1,1959/03/27,138,B
+07DA001,1,1959/03/28,143,B
+07DA001,1,1959/03/29,143,B
+07DA001,1,1959/03/30,150,B
+07DA001,1,1959/03/31,171,B
+07DA001,1,1959/05/01,382,B
+07DA001,1,1959/05/02,382,B
+07DA001,1,1959/05/03,391,B
+07DA001,1,1959/05/04,405,B
+07DA001,1,1959/05/05,430,E
+07DA001,1,1959/05/06,470,
+07DA001,1,1959/05/07,504,
+07DA001,1,1959/05/08,555,
+07DA001,1,1959/05/09,569,
+07DA001,1,1959/05/10,555,
+07DA001,1,1959/05/11,544,
+07DA001,1,1959/05/12,549,
+07DA001,1,1959/05/13,558,
+07DA001,1,1959/05/14,589,
+07DA001,1,1959/05/15,651,
+07DA001,1,1959/05/16,728,
+07DA001,1,1959/05/17,708,E
+07DA001,1,1959/05/18,697,E
+07DA001,1,1959/05/19,691,E
+07DA001,1,1959/05/20,671,E
+07DA001,1,1959/05/21,682,E
+07DA001,1,1959/05/22,733,E
+07DA001,1,1959/05/23,745,E
+07DA001,1,1959/05/24,1050,E
+07DA001,1,1959/05/25,1020,E
+07DA001,1,1959/05/26,926,E
+07DA001,1,1959/05/27,861,E
+07DA001,1,1959/05/28,824,E
+07DA001,1,1959/05/29,867,E
+07DA001,1,1959/05/30,915,E
+07DA001,1,1959/05/31,951,E
+07DA001,1,1959/06/01,892,E
+07DA001,1,1959/06/02,827,E
+07DA001,1,1959/06/03,782,E
+07DA001,1,1959/06/04,770,E
+07DA001,1,1959/06/05,787,E
+07DA001,1,1959/06/06,799,E
+07DA001,1,1959/06/07,835,E
+07DA001,1,1959/06/08,983,E
+07DA001,1,1959/06/09,1110,E
+07DA001,1,1959/06/10,1110,E
+07DA001,1,1959/06/11,1070,E
+07DA001,1,1959/06/12,1030,E
+07DA001,1,1959/06/13,980,E
+07DA001,1,1959/06/14,934,E
+07DA001,1,1959/06/15,957,E
+07DA001,1,1959/06/16,1140,E
+07DA001,1,1959/06/17,1220,E
+07DA001,1,1959/06/18,1390,E
+07DA001,1,1959/06/19,1550,
+07DA001,1,1959/06/20,1550,
+07DA001,1,1959/06/21,1450,
+07DA001,1,1959/06/22,1410,
+07DA001,1,1959/06/23,1580,
+07DA001,1,1959/06/24,1560,
+07DA001,1,1959/06/25,1780,
+07DA001,1,1959/06/26,2000,
+07DA001,1,1959/06/27,2000,
+07DA001,1,1959/06/28,1850,
+07DA001,1,1959/06/29,1690,
+07DA001,1,1959/06/30,1610,
+07DA001,1,1959/07/01,1800,
+07DA001,1,1959/07/02,1960,
+07DA001,1,1959/07/03,1730,
+07DA001,1,1959/07/04,1580,
+07DA001,1,1959/07/05,1520,
+07DA001,1,1959/07/06,1460,
+07DA001,1,1959/07/07,1410,
+07DA001,1,1959/07/08,1380,
+07DA001,1,1959/07/09,1300,
+07DA001,1,1959/07/10,1190,
+07DA001,1,1959/07/11,1120,
+07DA001,1,1959/07/12,1050,
+07DA001,1,1959/07/13,997,
+07DA001,1,1959/07/14,934,
+07DA001,1,1959/07/15,903,
+07DA001,1,1959/07/16,909,
+07DA001,1,1959/07/17,957,
+07DA001,1,1959/07/18,1020,
+07DA001,1,1959/07/19,1060,
+07DA001,1,1959/07/20,1010,
+07DA001,1,1959/07/21,954,
+07DA001,1,1959/07/22,895,
+07DA001,1,1959/07/23,852,
+07DA001,1,1959/07/24,855,
+07DA001,1,1959/07/25,886,
+07DA001,1,1959/07/26,912,
+07DA001,1,1959/07/27,906,
+07DA001,1,1959/07/28,881,
+07DA001,1,1959/07/29,878,
+07DA001,1,1959/07/30,915,
+07DA001,1,1959/07/31,934,
+07DA001,1,1959/08/01,898,
+07DA001,1,1959/08/02,833,
+07DA001,1,1959/08/03,779,
+07DA001,1,1959/08/04,733,
+07DA001,1,1959/08/05,674,
+07DA001,1,1959/08/06,646,
+07DA001,1,1959/08/07,646,
+07DA001,1,1959/08/08,651,
+07DA001,1,1959/08/09,671,
+07DA001,1,1959/08/10,665,
+07DA001,1,1959/08/11,663,
+07DA001,1,1959/08/12,629,
+07DA001,1,1959/08/13,580,
+07DA001,1,1959/08/14,564,
+07DA001,1,1959/08/15,586,
+07DA001,1,1959/08/16,583,
+07DA001,1,1959/08/17,561,
+07DA001,1,1959/08/18,549,
+07DA001,1,1959/08/19,535,
+07DA001,1,1959/08/20,530,
+07DA001,1,1959/08/21,513,
+07DA001,1,1959/08/22,515,
+07DA001,1,1959/08/23,552,
+07DA001,1,1959/08/24,617,
+07DA001,1,1959/08/25,646,
+07DA001,1,1959/08/26,634,
+07DA001,1,1959/08/27,637,
+07DA001,1,1959/08/28,694,
+07DA001,1,1959/08/29,773,
+07DA001,1,1959/08/30,827,
+07DA001,1,1959/08/31,855,
+07DA001,1,1959/09/01,861,
+07DA001,1,1959/09/02,943,
+07DA001,1,1959/09/03,1040,
+07DA001,1,1959/09/04,1010,
+07DA001,1,1959/09/05,960,
+07DA001,1,1959/09/06,917,
+07DA001,1,1959/09/07,878,
+07DA001,1,1959/09/08,844,
+07DA001,1,1959/09/09,810,
+07DA001,1,1959/09/10,790,
+07DA001,1,1959/09/11,796,
+07DA001,1,1959/09/12,784,
+07DA001,1,1959/09/13,767,
+07DA001,1,1959/09/14,739,
+07DA001,1,1959/09/15,719,
+07DA001,1,1959/09/16,705,
+07DA001,1,1959/09/17,697,
+07DA001,1,1959/09/18,694,
+07DA001,1,1959/09/19,719,
+07DA001,1,1959/09/20,779,
+07DA001,1,1959/09/21,838,
+07DA001,1,1959/09/22,852,
+07DA001,1,1959/09/23,827,
+07DA001,1,1959/09/24,782,
+07DA001,1,1959/09/25,748,
+07DA001,1,1959/09/26,745,
+07DA001,1,1959/09/27,782,
+07DA001,1,1959/09/28,827,
+07DA001,1,1959/09/29,855,
+07DA001,1,1959/09/30,844,
+07DA001,1,1959/10/01,821,
+07DA001,1,1959/10/02,810,
+07DA001,1,1959/10/03,793,
+07DA001,1,1959/10/04,776,
+07DA001,1,1959/10/05,750,
+07DA001,1,1959/10/06,731,
+07DA001,1,1959/10/07,708,
+07DA001,1,1959/10/08,688,
+07DA001,1,1959/10/09,663,
+07DA001,1,1959/10/10,651,
+07DA001,1,1959/10/11,634,
+07DA001,1,1959/10/12,637,
+07DA001,1,1959/10/13,617,
+07DA001,1,1959/10/14,603,
+07DA001,1,1959/10/15,592,
+07DA001,1,1959/10/16,561,
+07DA001,1,1959/10/17,541,
+07DA001,1,1959/10/18,532,
+07DA001,1,1959/10/19,521,
+07DA001,1,1959/10/20,518,
+07DA001,1,1959/10/21,530,
+07DA001,1,1959/10/22,586,
+07DA001,1,1959/10/23,617,
+07DA001,1,1959/10/24,583,
+07DA001,1,1959/10/25,572,
+07DA001,1,1959/10/26,558,
+07DA001,1,1959/10/27,564,
+07DA001,1,1959/10/28,552,
+07DA001,1,1959/10/29,535,
+07DA001,1,1959/10/30,524,
+07DA001,1,1959/10/31,515,
+07DA001,1,1959/11/01,507,
+07DA001,1,1959/11/02,493,B
+07DA001,1,1959/11/03,481,B
+07DA001,1,1959/11/04,467,B
+07DA001,1,1959/11/05,445,B
+07DA001,1,1959/11/06,433,B
+07DA001,1,1959/11/07,394,B
+07DA001,1,1959/11/08,340,B
+07DA001,1,1959/11/09,309,B
+07DA001,1,1959/11/10,282,B
+07DA001,1,1959/11/11,260,B
+07DA001,1,1959/11/12,244,B
+07DA001,1,1959/11/13,253,B
+07DA001,1,1959/11/14,236,B
+07DA001,1,1959/11/15,259,B
+07DA001,1,1959/11/16,240,B
+07DA001,1,1959/11/17,226,B
+07DA001,1,1959/11/18,234,B
+07DA001,1,1959/11/19,239,B
+07DA001,1,1959/11/20,235,B
+07DA001,1,1959/11/21,223,B
+07DA001,1,1959/11/22,217,B
+07DA001,1,1959/11/23,213,B
+07DA001,1,1959/11/24,208,B
+07DA001,1,1959/11/25,205,B
+07DA001,1,1959/11/26,208,B
+07DA001,1,1959/11/27,247,B
+07DA001,1,1959/11/28,259,B
+07DA001,1,1959/11/29,269,B
+07DA001,1,1959/11/30,274,B
+07DA001,1,1959/12/01,275,B
+07DA001,1,1959/12/02,274,B
+07DA001,1,1959/12/03,271,B
+07DA001,1,1959/12/04,264,B
+07DA001,1,1959/12/05,262,B
+07DA001,1,1959/12/06,252,B
+07DA001,1,1959/12/07,251,B
+07DA001,1,1959/12/08,262,B
+07DA001,1,1959/12/09,268,B
+07DA001,1,1959/12/10,272,B
+07DA001,1,1959/12/11,274,B
+07DA001,1,1959/12/12,267,B
+07DA001,1,1959/12/13,257,B
+07DA001,1,1959/12/14,250,B
+07DA001,1,1959/12/15,247,B
+07DA001,1,1959/12/16,242,B
+07DA001,1,1959/12/17,241,B
+07DA001,1,1959/12/18,233,B
+07DA001,1,1959/12/19,229,B
+07DA001,1,1959/12/20,225,B
+07DA001,1,1959/12/21,222,B
+07DA001,1,1959/12/22,216,B
+07DA001,1,1959/12/23,210,B
+07DA001,1,1959/12/24,206,B
+07DA001,1,1959/12/25,203,B
+07DA001,1,1959/12/26,197,B
+07DA001,1,1959/12/27,188,B
+07DA001,1,1959/12/28,187,B
+07DA001,1,1959/12/29,191,B
+07DA001,1,1959/12/30,190,B
+07DA001,1,1959/12/31,188,B
+07DA001,1,1960/01/01,184,B
+07DA001,1,1960/01/02,184,B
+07DA001,1,1960/01/03,187,B
+07DA001,1,1960/01/04,189,B
+07DA001,1,1960/01/05,185,B
+07DA001,1,1960/01/06,182,B
+07DA001,1,1960/01/07,180,B
+07DA001,1,1960/01/08,178,B
+07DA001,1,1960/01/09,178,B
+07DA001,1,1960/01/10,179,B
+07DA001,1,1960/01/11,177,B
+07DA001,1,1960/01/12,173,B
+07DA001,1,1960/01/13,172,B
+07DA001,1,1960/01/14,174,B
+07DA001,1,1960/01/15,174,B
+07DA001,1,1960/01/16,174,B
+07DA001,1,1960/01/17,172,B
+07DA001,1,1960/01/18,169,B
+07DA001,1,1960/01/19,167,B
+07DA001,1,1960/01/20,166,B
+07DA001,1,1960/01/21,168,B
+07DA001,1,1960/01/22,167,B
+07DA001,1,1960/01/23,167,B
+07DA001,1,1960/01/24,166,B
+07DA001,1,1960/01/25,167,B
+07DA001,1,1960/01/26,165,B
+07DA001,1,1960/01/27,163,B
+07DA001,1,1960/01/28,161,B
+07DA001,1,1960/01/29,160,B
+07DA001,1,1960/01/30,160,B
+07DA001,1,1960/01/31,159,B
+07DA001,1,1960/02/01,159,B
+07DA001,1,1960/02/02,159,B
+07DA001,1,1960/02/03,159,B
+07DA001,1,1960/02/04,159,B
+07DA001,1,1960/02/05,159,B
+07DA001,1,1960/02/06,159,B
+07DA001,1,1960/02/07,160,B
+07DA001,1,1960/02/08,161,B
+07DA001,1,1960/02/09,162,B
+07DA001,1,1960/02/10,160,B
+07DA001,1,1960/02/11,159,B
+07DA001,1,1960/02/12,159,B
+07DA001,1,1960/02/13,160,B
+07DA001,1,1960/02/14,160,B
+07DA001,1,1960/02/15,159,B
+07DA001,1,1960/02/16,158,B
+07DA001,1,1960/02/17,157,B
+07DA001,1,1960/02/18,156,B
+07DA001,1,1960/02/19,155,B
+07DA001,1,1960/02/20,154,B
+07DA001,1,1960/02/21,153,B
+07DA001,1,1960/02/22,153,B
+07DA001,1,1960/02/23,152,B
+07DA001,1,1960/02/24,152,B
+07DA001,1,1960/02/25,151,B
+07DA001,1,1960/02/26,150,B
+07DA001,1,1960/02/27,150,B
+07DA001,1,1960/02/28,149,B
+07DA001,1,1960/02/29,148,B
+07DA001,1,1960/03/01,148,B
+07DA001,1,1960/03/02,147,B
+07DA001,1,1960/03/03,146,B
+07DA001,1,1960/03/04,145,B
+07DA001,1,1960/03/05,144,B
+07DA001,1,1960/03/06,142,B
+07DA001,1,1960/03/07,142,B
+07DA001,1,1960/03/08,141,B
+07DA001,1,1960/03/09,140,B
+07DA001,1,1960/03/10,140,B
+07DA001,1,1960/03/11,140,B
+07DA001,1,1960/03/12,138,B
+07DA001,1,1960/03/13,138,B
+07DA001,1,1960/03/14,139,B
+07DA001,1,1960/03/15,139,B
+07DA001,1,1960/03/16,139,B
+07DA001,1,1960/03/17,139,B
+07DA001,1,1960/03/18,139,B
+07DA001,1,1960/03/19,139,B
+07DA001,1,1960/03/20,139,B
+07DA001,1,1960/03/21,139,B
+07DA001,1,1960/03/22,144,B
+07DA001,1,1960/03/23,145,B
+07DA001,1,1960/03/24,145,B
+07DA001,1,1960/03/25,147,B
+07DA001,1,1960/03/26,150,B
+07DA001,1,1960/03/27,154,B
+07DA001,1,1960/03/28,157,B
+07DA001,1,1960/03/29,163,B
+07DA001,1,1960/03/30,171,B
+07DA001,1,1960/03/31,185,B
+07DA001,1,1960/04/01,239,B
+07DA001,1,1960/04/02,239,B
+07DA001,1,1960/04/03,239,B
+07DA001,1,1960/04/04,239,B
+07DA001,1,1960/04/05,239,B
+07DA001,1,1960/04/06,239,B
+07DA001,1,1960/04/07,239,B
+07DA001,1,1960/04/08,239,B
+07DA001,1,1960/04/09,239,B
+07DA001,1,1960/04/10,239,B
+07DA001,1,1960/04/11,549,B
+07DA001,1,1960/04/12,549,B
+07DA001,1,1960/04/13,549,B
+07DA001,1,1960/04/14,549,B
+07DA001,1,1960/04/15,549,B
+07DA001,1,1960/04/16,549,B
+07DA001,1,1960/04/17,549,B
+07DA001,1,1960/04/18,549,B
+07DA001,1,1960/04/19,549,B
+07DA001,1,1960/04/20,549,B
+07DA001,1,1960/04/21,637,E
+07DA001,1,1960/04/22,637,E
+07DA001,1,1960/04/23,637,E
+07DA001,1,1960/04/24,637,E
+07DA001,1,1960/04/25,637,E
+07DA001,1,1960/04/26,637,E
+07DA001,1,1960/04/27,637,E
+07DA001,1,1960/04/28,637,E
+07DA001,1,1960/04/29,637,E
+07DA001,1,1960/04/30,637,E
+07DA001,1,1960/05/01,566,E
+07DA001,1,1960/05/02,538,E
+07DA001,1,1960/05/03,518,E
+07DA001,1,1960/05/04,501,
+07DA001,1,1960/05/05,484,
+07DA001,1,1960/05/06,476,
+07DA001,1,1960/05/07,473,
+07DA001,1,1960/05/08,481,
+07DA001,1,1960/05/09,510,
+07DA001,1,1960/05/10,530,
+07DA001,1,1960/05/11,547,
+07DA001,1,1960/05/12,552,
+07DA001,1,1960/05/13,580,
+07DA001,1,1960/05/14,762,
+07DA001,1,1960/05/15,917,
+07DA001,1,1960/05/16,1040,
+07DA001,1,1960/05/17,1150,
+07DA001,1,1960/05/18,1550,
+07DA001,1,1960/05/19,1760,
+07DA001,1,1960/05/20,1650,
+07DA001,1,1960/05/21,1510,
+07DA001,1,1960/05/22,1450,
+07DA001,1,1960/05/23,1670,
+07DA001,1,1960/05/24,1640,
+07DA001,1,1960/05/25,1570,
+07DA001,1,1960/05/26,1660,
+07DA001,1,1960/05/27,1680,
+07DA001,1,1960/05/28,1630,
+07DA001,1,1960/05/29,1600,
+07DA001,1,1960/05/30,1530,
+07DA001,1,1960/05/31,1480,
+07DA001,1,1960/06/01,1440,
+07DA001,1,1960/06/02,1370,
+07DA001,1,1960/06/03,1290,
+07DA001,1,1960/06/04,1210,
+07DA001,1,1960/06/05,1160,
+07DA001,1,1960/06/06,1140,
+07DA001,1,1960/06/07,1130,
+07DA001,1,1960/06/08,1140,
+07DA001,1,1960/06/09,1140,
+07DA001,1,1960/06/10,1120,
+07DA001,1,1960/06/11,1080,
+07DA001,1,1960/06/12,1070,
+07DA001,1,1960/06/13,1090,
+07DA001,1,1960/06/14,1080,
+07DA001,1,1960/06/15,1020,
+07DA001,1,1960/06/16,988,
+07DA001,1,1960/06/17,1050,
+07DA001,1,1960/06/18,1240,
+07DA001,1,1960/06/19,1310,
+07DA001,1,1960/06/20,1350,
+07DA001,1,1960/06/21,1440,
+07DA001,1,1960/06/22,1400,
+07DA001,1,1960/06/23,1390,
+07DA001,1,1960/06/24,1340,
+07DA001,1,1960/06/25,1400,
+07DA001,1,1960/06/26,1990,
+07DA001,1,1960/06/27,2510,
+07DA001,1,1960/06/28,3000,
+07DA001,1,1960/06/29,3990,
+07DA001,1,1960/06/30,4160,
+07DA001,1,1960/07/01,3480,
+07DA001,1,1960/07/02,3140,
+07DA001,1,1960/07/03,2940,
+07DA001,1,1960/07/04,2860,
+07DA001,1,1960/07/05,2860,
+07DA001,1,1960/07/06,2890,
+07DA001,1,1960/07/07,2510,
+07DA001,1,1960/07/08,2250,
+07DA001,1,1960/07/09,2060,
+07DA001,1,1960/07/10,1890,
+07DA001,1,1960/07/11,1800,
+07DA001,1,1960/07/12,1760,
+07DA001,1,1960/07/13,1700,
+07DA001,1,1960/07/14,1550,
+07DA001,1,1960/07/15,1380,
+07DA001,1,1960/07/16,1240,
+07DA001,1,1960/07/17,1170,
+07DA001,1,1960/07/18,1160,
+07DA001,1,1960/07/19,1220,
+07DA001,1,1960/07/20,1270,
+07DA001,1,1960/07/21,1280,
+07DA001,1,1960/07/22,1260,
+07DA001,1,1960/07/23,1280,
+07DA001,1,1960/07/24,1360,
+07DA001,1,1960/07/25,1790,
+07DA001,1,1960/07/26,1980,
+07DA001,1,1960/07/27,1900,
+07DA001,1,1960/07/28,1750,
+07DA001,1,1960/07/29,1650,
+07DA001,1,1960/07/30,1540,
+07DA001,1,1960/07/31,1440,
+07DA001,1,1960/08/01,1390,
+07DA001,1,1960/08/02,1350,
+07DA001,1,1960/08/03,1310,
+07DA001,1,1960/08/04,1290,
+07DA001,1,1960/08/05,1270,
+07DA001,1,1960/08/06,1290,
+07DA001,1,1960/08/07,1280,
+07DA001,1,1960/08/08,1230,
+07DA001,1,1960/08/09,1180,
+07DA001,1,1960/08/10,1140,
+07DA001,1,1960/08/11,1130,
+07DA001,1,1960/08/12,1080,
+07DA001,1,1960/08/13,1010,
+07DA001,1,1960/08/14,949,
+07DA001,1,1960/08/15,906,
+07DA001,1,1960/08/16,875,
+07DA001,1,1960/08/17,858,
+07DA001,1,1960/08/18,858,
+07DA001,1,1960/08/19,929,
+07DA001,1,1960/08/20,946,
+07DA001,1,1960/08/21,881,
+07DA001,1,1960/08/22,838,
+07DA001,1,1960/08/23,827,
+07DA001,1,1960/08/24,864,
+07DA001,1,1960/08/25,1040,
+07DA001,1,1960/08/26,1110,
+07DA001,1,1960/08/27,1070,
+07DA001,1,1960/08/28,1030,
+07DA001,1,1960/08/29,1000,
+07DA001,1,1960/08/30,974,
+07DA001,1,1960/08/31,951,
+07DA001,1,1960/09/01,937,
+07DA001,1,1960/09/02,926,
+07DA001,1,1960/09/03,906,
+07DA001,1,1960/09/04,883,
+07DA001,1,1960/09/05,878,
+07DA001,1,1960/09/06,1310,
+07DA001,1,1960/09/07,1660,
+07DA001,1,1960/09/08,1750,
+07DA001,1,1960/09/09,1710,
+07DA001,1,1960/09/10,1600,
+07DA001,1,1960/09/11,1520,
+07DA001,1,1960/09/12,1460,
+07DA001,1,1960/09/13,1390,
+07DA001,1,1960/09/14,1290,
+07DA001,1,1960/09/15,1210,
+07DA001,1,1960/09/16,1140,
+07DA001,1,1960/09/17,1080,
+07DA001,1,1960/09/18,1030,
+07DA001,1,1960/09/19,1010,
+07DA001,1,1960/09/20,980,
+07DA001,1,1960/09/21,943,
+07DA001,1,1960/09/22,912,
+07DA001,1,1960/09/23,883,
+07DA001,1,1960/09/24,855,
+07DA001,1,1960/09/25,838,
+07DA001,1,1960/09/26,818,
+07DA001,1,1960/09/27,861,
+07DA001,1,1960/09/28,867,
+07DA001,1,1960/09/29,847,
+07DA001,1,1960/09/30,818,
+07DA001,1,1960/10/01,793,
+07DA001,1,1960/10/02,957,
+07DA001,1,1960/10/03,742,
+07DA001,1,1960/10/04,722,
+07DA001,1,1960/10/05,705,
+07DA001,1,1960/10/06,691,
+07DA001,1,1960/10/07,674,
+07DA001,1,1960/10/08,657,
+07DA001,1,1960/10/09,654,
+07DA001,1,1960/10/10,648,
+07DA001,1,1960/10/11,646,
+07DA001,1,1960/10/12,640,
+07DA001,1,1960/10/13,648,
+07DA001,1,1960/10/14,654,
+07DA001,1,1960/10/15,654,
+07DA001,1,1960/10/16,657,
+07DA001,1,1960/10/17,660,
+07DA001,1,1960/10/18,651,
+07DA001,1,1960/10/19,637,
+07DA001,1,1960/10/20,620,
+07DA001,1,1960/10/21,609,
+07DA001,1,1960/10/22,603,
+07DA001,1,1960/10/23,580,
+07DA001,1,1960/10/24,597,
+07DA001,1,1960/10/25,609,
+07DA001,1,1960/10/26,617,
+07DA001,1,1960/10/27,612,
+07DA001,1,1960/10/28,606,
+07DA001,1,1960/10/29,600,
+07DA001,1,1960/10/30,583,
+07DA001,1,1960/10/31,578,
+07DA001,1,1960/11/01,606,
+07DA001,1,1960/11/02,617,
+07DA001,1,1960/11/03,597,
+07DA001,1,1960/11/04,566,
+07DA001,1,1960/11/05,552,
+07DA001,1,1960/11/06,535,
+07DA001,1,1960/11/07,538,
+07DA001,1,1960/11/08,513,B
+07DA001,1,1960/11/09,467,B
+07DA001,1,1960/11/10,501,B
+07DA001,1,1960/11/11,513,B
+07DA001,1,1960/11/12,470,B
+07DA001,1,1960/11/13,453,B
+07DA001,1,1960/11/14,459,B
+07DA001,1,1960/11/15,396,B
+07DA001,1,1960/11/16,399,B
+07DA001,1,1960/11/17,413,B
+07DA001,1,1960/11/18,422,B
+07DA001,1,1960/11/19,425,B
+07DA001,1,1960/11/20,413,B
+07DA001,1,1960/11/21,416,B
+07DA001,1,1960/11/22,408,B
+07DA001,1,1960/11/23,377,B
+07DA001,1,1960/11/24,343,B
+07DA001,1,1960/11/25,326,B
+07DA001,1,1960/11/26,309,B
+07DA001,1,1960/11/27,300,B
+07DA001,1,1960/11/28,303,B
+07DA001,1,1960/11/29,273,B
+07DA001,1,1960/11/30,274,B
+07DA001,1,1960/12/01,281,B
+07DA001,1,1960/12/02,278,B
+07DA001,1,1960/12/03,272,B
+07DA001,1,1960/12/04,262,B
+07DA001,1,1960/12/05,251,B
+07DA001,1,1960/12/06,244,B
+07DA001,1,1960/12/07,236,B
+07DA001,1,1960/12/08,221,B
+07DA001,1,1960/12/09,215,B
+07DA001,1,1960/12/10,221,B
+07DA001,1,1960/12/11,223,B
+07DA001,1,1960/12/12,231,B
+07DA001,1,1960/12/13,237,B
+07DA001,1,1960/12/14,233,B
+07DA001,1,1960/12/15,219,B
+07DA001,1,1960/12/16,215,B
+07DA001,1,1960/12/17,212,B
+07DA001,1,1960/12/18,209,B
+07DA001,1,1960/12/19,207,B
+07DA001,1,1960/12/20,206,B
+07DA001,1,1960/12/21,209,B
+07DA001,1,1960/12/22,213,B
+07DA001,1,1960/12/23,217,B
+07DA001,1,1960/12/24,215,B
+07DA001,1,1960/12/25,208,B
+07DA001,1,1960/12/26,202,B
+07DA001,1,1960/12/27,201,B
+07DA001,1,1960/12/28,200,B
+07DA001,1,1960/12/29,201,B
+07DA001,1,1960/12/30,202,B
+07DA001,1,1960/12/31,204,B
+07DA001,1,1961/01/01,208,B
+07DA001,1,1961/01/02,215,B
+07DA001,1,1961/01/03,218,B
+07DA001,1,1961/01/04,218,B
+07DA001,1,1961/01/05,216,B
+07DA001,1,1961/01/06,214,B
+07DA001,1,1961/01/07,211,B
+07DA001,1,1961/01/08,211,B
+07DA001,1,1961/01/09,213,B
+07DA001,1,1961/01/10,215,B
+07DA001,1,1961/01/11,215,B
+07DA001,1,1961/01/12,214,B
+07DA001,1,1961/01/13,213,B
+07DA001,1,1961/01/14,215,B
+07DA001,1,1961/01/15,215,B
+07DA001,1,1961/01/16,215,B
+07DA001,1,1961/01/17,213,B
+07DA001,1,1961/01/18,210,B
+07DA001,1,1961/01/19,212,B
+07DA001,1,1961/01/20,214,B
+07DA001,1,1961/01/21,216,B
+07DA001,1,1961/01/22,212,B
+07DA001,1,1961/01/23,209,B
+07DA001,1,1961/01/24,207,B
+07DA001,1,1961/01/25,203,B
+07DA001,1,1961/01/26,200,B
+07DA001,1,1961/01/27,197,B
+07DA001,1,1961/01/28,193,B
+07DA001,1,1961/01/29,189,B
+07DA001,1,1961/01/30,187,B
+07DA001,1,1961/01/31,187,B
+07DA001,1,1961/02/01,186,B
+07DA001,1,1961/02/02,184,B
+07DA001,1,1961/02/03,183,B
+07DA001,1,1961/02/04,181,B
+07DA001,1,1961/02/05,180,B
+07DA001,1,1961/02/06,179,B
+07DA001,1,1961/02/07,178,B
+07DA001,1,1961/02/08,177,B
+07DA001,1,1961/02/09,175,B
+07DA001,1,1961/02/10,177,B
+07DA001,1,1961/02/11,180,B
+07DA001,1,1961/02/12,181,B
+07DA001,1,1961/02/13,182,B
+07DA001,1,1961/02/14,183,B
+07DA001,1,1961/02/15,187,B
+07DA001,1,1961/02/16,189,B
+07DA001,1,1961/02/17,186,B
+07DA001,1,1961/02/18,184,B
+07DA001,1,1961/02/19,183,B
+07DA001,1,1961/02/20,181,B
+07DA001,1,1961/02/21,180,B
+07DA001,1,1961/02/22,178,B
+07DA001,1,1961/02/23,178,B
+07DA001,1,1961/02/24,177,B
+07DA001,1,1961/02/25,174,B
+07DA001,1,1961/02/26,173,B
+07DA001,1,1961/02/27,174,B
+07DA001,1,1961/02/28,174,B
+07DA001,1,1961/03/01,175,B
+07DA001,1,1961/03/02,176,B
+07DA001,1,1961/03/03,176,B
+07DA001,1,1961/03/04,175,B
+07DA001,1,1961/03/05,174,B
+07DA001,1,1961/03/06,172,B
+07DA001,1,1961/03/07,170,B
+07DA001,1,1961/03/08,168,B
+07DA001,1,1961/03/09,167,B
+07DA001,1,1961/03/10,166,B
+07DA001,1,1961/03/11,165,B
+07DA001,1,1961/03/12,166,B
+07DA001,1,1961/03/13,167,B
+07DA001,1,1961/03/14,168,B
+07DA001,1,1961/03/15,170,B
+07DA001,1,1961/03/16,173,B
+07DA001,1,1961/03/17,176,B
+07DA001,1,1961/03/18,179,B
+07DA001,1,1961/03/19,182,B
+07DA001,1,1961/03/20,185,B
+07DA001,1,1961/03/21,187,B
+07DA001,1,1961/03/22,190,B
+07DA001,1,1961/03/23,192,B
+07DA001,1,1961/03/24,195,B
+07DA001,1,1961/03/25,199,B
+07DA001,1,1961/03/26,203,B
+07DA001,1,1961/03/27,207,B
+07DA001,1,1961/03/28,212,B
+07DA001,1,1961/03/29,216,B
+07DA001,1,1961/03/30,220,B
+07DA001,1,1961/03/31,232,B
+07DA001,1,1961/04/01,237,B
+07DA001,1,1961/04/02,239,B
+07DA001,1,1961/04/03,266,B
+07DA001,1,1961/04/04,286,B
+07DA001,1,1961/04/05,309,B
+07DA001,1,1961/04/06,328,B
+07DA001,1,1961/04/07,337,B
+07DA001,1,1961/04/08,343,B
+07DA001,1,1961/04/09,345,B
+07DA001,1,1961/04/10,351,B
+07DA001,1,1961/04/11,354,B
+07DA001,1,1961/04/12,351,B
+07DA001,1,1961/04/13,348,B
+07DA001,1,1961/04/14,345,B
+07DA001,1,1961/04/15,348,B
+07DA001,1,1961/04/16,348,B
+07DA001,1,1961/04/17,351,B
+07DA001,1,1961/04/18,360,B
+07DA001,1,1961/04/19,371,B
+07DA001,1,1961/04/20,377,B
+07DA001,1,1961/04/21,382,B
+07DA001,1,1961/04/22,388,B
+07DA001,1,1961/04/23,391,B
+07DA001,1,1961/04/24,394,B
+07DA001,1,1961/04/25,419,B
+07DA001,1,1961/04/26,433,B
+07DA001,1,1961/04/27,447,B
+07DA001,1,1961/04/28,530,B
+07DA001,1,1961/04/29,493,B
+07DA001,1,1961/04/30,513,B
+07DA001,1,1961/05/01,530,B
+07DA001,1,1961/05/02,527,B
+07DA001,1,1961/05/03,515,B
+07DA001,1,1961/05/04,589,B
+07DA001,1,1961/05/05,648,B
+07DA001,1,1961/05/06,708,B
+07DA001,1,1961/05/07,748,
+07DA001,1,1961/05/08,796,
+07DA001,1,1961/05/09,821,
+07DA001,1,1961/05/10,867,E
+07DA001,1,1961/05/11,883,
+07DA001,1,1961/05/12,895,
+07DA001,1,1961/05/13,878,
+07DA001,1,1961/05/14,872,
+07DA001,1,1961/05/15,869,
+07DA001,1,1961/05/16,855,
+07DA001,1,1961/05/17,850,
+07DA001,1,1961/05/18,852,
+07DA001,1,1961/05/19,869,
+07DA001,1,1961/05/20,867,
+07DA001,1,1961/05/21,878,
+07DA001,1,1961/05/22,895,
+07DA001,1,1961/05/23,892,
+07DA001,1,1961/05/24,886,
+07DA001,1,1961/05/25,872,
+07DA001,1,1961/05/26,895,
+07DA001,1,1961/05/27,977,
+07DA001,1,1961/05/28,1050,
+07DA001,1,1961/05/29,1140,
+07DA001,1,1961/05/30,1230,
+07DA001,1,1961/05/31,1200,
+07DA001,1,1961/06/01,1230,
+07DA001,1,1961/06/02,1420,
+07DA001,1,1961/06/03,1350,
+07DA001,1,1961/06/04,1190,
+07DA001,1,1961/06/05,1100,
+07DA001,1,1961/06/06,1070,
+07DA001,1,1961/06/07,1090,
+07DA001,1,1961/06/08,1140,
+07DA001,1,1961/06/09,1200,
+07DA001,1,1961/06/10,1250,
+07DA001,1,1961/06/11,1250,
+07DA001,1,1961/06/12,1290,
+07DA001,1,1961/06/13,1300,
+07DA001,1,1961/06/14,1220,
+07DA001,1,1961/06/15,1100,
+07DA001,1,1961/06/16,1030,
+07DA001,1,1961/06/17,1010,
+07DA001,1,1961/06/18,1050,
+07DA001,1,1961/06/19,1090,
+07DA001,1,1961/06/20,1060,
+07DA001,1,1961/06/21,1040,
+07DA001,1,1961/06/22,1060,
+07DA001,1,1961/06/23,1060,
+07DA001,1,1961/06/24,1060,
+07DA001,1,1961/06/25,1060,
+07DA001,1,1961/06/26,1040,
+07DA001,1,1961/06/27,994,
+07DA001,1,1961/06/28,983,
+07DA001,1,1961/06/29,966,
+07DA001,1,1961/06/30,1020,
+07DA001,1,1961/07/01,1270,
+07DA001,1,1961/07/02,1510,
+07DA001,1,1961/07/03,1610,
+07DA001,1,1961/07/04,1740,
+07DA001,1,1961/07/05,1840,
+07DA001,1,1961/07/06,1700,
+07DA001,1,1961/07/07,1500,
+07DA001,1,1961/07/08,1360,
+07DA001,1,1961/07/09,1270,
+07DA001,1,1961/07/10,1180,
+07DA001,1,1961/07/11,1170,
+07DA001,1,1961/07/12,1250,
+07DA001,1,1961/07/13,1270,
+07DA001,1,1961/07/14,1190,
+07DA001,1,1961/07/15,1070,
+07DA001,1,1961/07/16,971,
+07DA001,1,1961/07/17,903,
+07DA001,1,1961/07/18,858,
+07DA001,1,1961/07/19,833,
+07DA001,1,1961/07/20,841,
+07DA001,1,1961/07/21,926,
+07DA001,1,1961/07/22,971,
+07DA001,1,1961/07/23,980,
+07DA001,1,1961/07/24,934,
+07DA001,1,1961/07/25,895,
+07DA001,1,1961/07/26,889,
+07DA001,1,1961/07/27,951,
+07DA001,1,1961/07/28,1090,
+07DA001,1,1961/07/29,1190,
+07DA001,1,1961/07/30,1230,
+07DA001,1,1961/07/31,1210,
+07DA001,1,1961/08/01,1140,
+07DA001,1,1961/08/02,1080,
+07DA001,1,1961/08/03,1090,
+07DA001,1,1961/08/04,1150,
+07DA001,1,1961/08/05,1120,
+07DA001,1,1961/08/06,1050,
+07DA001,1,1961/08/07,974,
+07DA001,1,1961/08/08,951,
+07DA001,1,1961/08/09,920,
+07DA001,1,1961/08/10,886,
+07DA001,1,1961/08/11,852,
+07DA001,1,1961/08/12,850,
+07DA001,1,1961/08/13,810,
+07DA001,1,1961/08/14,750,
+07DA001,1,1961/08/15,719,
+07DA001,1,1961/08/16,688,
+07DA001,1,1961/08/17,651,
+07DA001,1,1961/08/18,629,
+07DA001,1,1961/08/19,614,
+07DA001,1,1961/08/20,617,
+07DA001,1,1961/08/21,617,
+07DA001,1,1961/08/22,631,
+07DA001,1,1961/08/23,637,
+07DA001,1,1961/08/24,634,
+07DA001,1,1961/08/25,617,E
+07DA001,1,1961/08/26,606,E
+07DA001,1,1961/08/27,606,E
+07DA001,1,1961/08/28,612,E
+07DA001,1,1961/08/29,603,E
+07DA001,1,1961/08/30,586,E
+07DA001,1,1961/08/31,575,E
+07DA001,1,1961/09/01,578,E
+07DA001,1,1961/09/02,544,E
+07DA001,1,1961/09/03,521,E
+07DA001,1,1961/09/04,515,E
+07DA001,1,1961/09/05,521,E
+07DA001,1,1961/09/06,515,E
+07DA001,1,1961/09/07,544,E
+07DA001,1,1961/09/08,521,E
+07DA001,1,1961/09/09,476,E
+07DA001,1,1961/09/10,476,E
+07DA001,1,1961/09/11,530,E
+07DA001,1,1961/09/12,566,E
+07DA001,1,1961/09/13,504,E
+07DA001,1,1961/09/14,459,E
+07DA001,1,1961/09/15,428,E
+07DA001,1,1961/09/16,405,E
+07DA001,1,1961/09/17,391,E
+07DA001,1,1961/09/18,374,E
+07DA001,1,1961/09/19,360,E
+07DA001,1,1961/09/20,351,E
+07DA001,1,1961/09/21,343,E
+07DA001,1,1961/09/22,343,E
+07DA001,1,1961/09/23,343,E
+07DA001,1,1961/09/24,343,E
+07DA001,1,1961/09/25,360,E
+07DA001,1,1961/09/26,365,E
+07DA001,1,1961/09/27,354,E
+07DA001,1,1961/09/28,345,E
+07DA001,1,1961/09/29,337,E
+07DA001,1,1961/09/30,331,E
+07DA001,1,1961/10/01,309,E
+07DA001,1,1961/10/02,311,E
+07DA001,1,1961/10/03,311,E
+07DA001,1,1961/10/04,309,E
+07DA001,1,1961/10/05,311,E
+07DA001,1,1961/10/06,306,E
+07DA001,1,1961/10/07,300,E
+07DA001,1,1961/10/08,297,E
+07DA001,1,1961/10/09,286,E
+07DA001,1,1961/10/10,286,E
+07DA001,1,1961/10/11,289,E
+07DA001,1,1961/10/12,334,E
+07DA001,1,1961/10/13,379,E
+07DA001,1,1961/10/14,374,E
+07DA001,1,1961/10/15,357,E
+07DA001,1,1961/10/16,345,E
+07DA001,1,1961/10/17,345,E
+07DA001,1,1961/10/18,340,E
+07DA001,1,1961/10/19,334,E
+07DA001,1,1961/10/20,340,E
+07DA001,1,1961/10/21,422,E
+07DA001,1,1961/10/22,682,E
+07DA001,1,1961/10/23,756,E
+07DA001,1,1961/10/24,674,E
+07DA001,1,1961/10/25,617,E
+07DA001,1,1961/10/26,552,E
+07DA001,1,1961/10/27,490,E
+07DA001,1,1961/10/28,459,E
+07DA001,1,1961/10/29,459,E
+07DA001,1,1961/10/30,425,B
+07DA001,1,1961/10/31,413,B
+07DA001,1,1961/11/01,399,B
+07DA001,1,1961/11/02,402,B
+07DA001,1,1961/11/03,377,B
+07DA001,1,1961/11/04,388,B
+07DA001,1,1961/11/05,357,B
+07DA001,1,1961/11/06,365,B
+07DA001,1,1961/11/07,340,B
+07DA001,1,1961/11/08,244,B
+07DA001,1,1961/11/09,272,B
+07DA001,1,1961/11/10,317,B
+07DA001,1,1961/11/11,262,B
+07DA001,1,1961/11/12,294,B
+07DA001,1,1961/11/13,306,B
+07DA001,1,1961/11/14,300,B
+07DA001,1,1961/11/15,309,B
+07DA001,1,1961/11/16,309,B
+07DA001,1,1961/11/17,294,B
+07DA001,1,1961/11/18,231,B
+07DA001,1,1961/11/19,216,B
+07DA001,1,1961/11/20,208,B
+07DA001,1,1961/11/21,201,B
+07DA001,1,1961/11/22,200,B
+07DA001,1,1961/11/23,187,B
+07DA001,1,1961/11/24,176,B
+07DA001,1,1961/11/25,153,B
+07DA001,1,1961/11/26,157,B
+07DA001,1,1961/11/27,205,B
+07DA001,1,1961/11/28,163,B
+07DA001,1,1961/11/29,161,B
+07DA001,1,1961/11/30,187,B
+07DA001,1,1961/12/01,193,B
+07DA001,1,1961/12/02,189,B
+07DA001,1,1961/12/03,182,B
+07DA001,1,1961/12/04,182,B
+07DA001,1,1961/12/05,182,B
+07DA001,1,1961/12/06,178,B
+07DA001,1,1961/12/07,164,B
+07DA001,1,1961/12/08,151,B
+07DA001,1,1961/12/09,144,B
+07DA001,1,1961/12/10,139,B
+07DA001,1,1961/12/11,133,B
+07DA001,1,1961/12/12,133,B
+07DA001,1,1961/12/13,143,B
+07DA001,1,1961/12/14,161,B
+07DA001,1,1961/12/15,166,B
+07DA001,1,1961/12/16,165,B
+07DA001,1,1961/12/17,162,B
+07DA001,1,1961/12/18,156,B
+07DA001,1,1961/12/19,151,B
+07DA001,1,1961/12/20,146,B
+07DA001,1,1961/12/21,140,B
+07DA001,1,1961/12/22,137,B
+07DA001,1,1961/12/23,133,B
+07DA001,1,1961/12/24,135,B
+07DA001,1,1961/12/25,138,B
+07DA001,1,1961/12/26,137,B
+07DA001,1,1961/12/27,137,B
+07DA001,1,1961/12/28,133,B
+07DA001,1,1961/12/29,132,B
+07DA001,1,1961/12/30,130,B
+07DA001,1,1961/12/31,130,B
+07DA001,1,1962/01/01,134,B
+07DA001,1,1962/01/02,139,B
+07DA001,1,1962/01/03,143,B
+07DA001,1,1962/01/04,144,B
+07DA001,1,1962/01/05,146,B
+07DA001,1,1962/01/06,147,B
+07DA001,1,1962/01/07,146,B
+07DA001,1,1962/01/08,150,B
+07DA001,1,1962/01/09,151,B
+07DA001,1,1962/01/10,157,B
+07DA001,1,1962/01/11,156,B
+07DA001,1,1962/01/12,154,B
+07DA001,1,1962/01/13,153,B
+07DA001,1,1962/01/14,151,B
+07DA001,1,1962/01/15,153,B
+07DA001,1,1962/01/16,151,B
+07DA001,1,1962/01/17,150,B
+07DA001,1,1962/01/18,144,B
+07DA001,1,1962/01/19,144,B
+07DA001,1,1962/01/20,139,B
+07DA001,1,1962/01/21,141,B
+07DA001,1,1962/01/22,141,B
+07DA001,1,1962/01/23,139,B
+07DA001,1,1962/01/24,137,B
+07DA001,1,1962/01/25,132,B
+07DA001,1,1962/01/26,130,B
+07DA001,1,1962/01/27,130,B
+07DA001,1,1962/01/28,129,B
+07DA001,1,1962/01/29,128,B
+07DA001,1,1962/01/30,127,B
+07DA001,1,1962/01/31,126,B
+07DA001,1,1962/02/01,126,B
+07DA001,1,1962/02/02,125,B
+07DA001,1,1962/02/03,124,B
+07DA001,1,1962/02/04,121,B
+07DA001,1,1962/02/05,120,B
+07DA001,1,1962/02/06,118,B
+07DA001,1,1962/02/07,118,B
+07DA001,1,1962/02/08,119,B
+07DA001,1,1962/02/09,121,B
+07DA001,1,1962/02/10,121,B
+07DA001,1,1962/02/11,120,B
+07DA001,1,1962/02/12,121,B
+07DA001,1,1962/02/13,122,B
+07DA001,1,1962/02/14,123,B
+07DA001,1,1962/02/15,122,B
+07DA001,1,1962/02/16,123,B
+07DA001,1,1962/02/17,123,B
+07DA001,1,1962/02/18,124,B
+07DA001,1,1962/02/19,119,B
+07DA001,1,1962/02/20,120,B
+07DA001,1,1962/02/21,121,B
+07DA001,1,1962/02/22,122,B
+07DA001,1,1962/02/23,123,B
+07DA001,1,1962/02/24,124,B
+07DA001,1,1962/02/25,124,B
+07DA001,1,1962/02/26,123,B
+07DA001,1,1962/02/27,123,B
+07DA001,1,1962/02/28,123,B
+07DA001,1,1962/03/01,123,B
+07DA001,1,1962/03/02,122,B
+07DA001,1,1962/03/03,121,B
+07DA001,1,1962/03/04,123,B
+07DA001,1,1962/03/05,123,B
+07DA001,1,1962/03/06,123,B
+07DA001,1,1962/03/07,123,B
+07DA001,1,1962/03/08,122,B
+07DA001,1,1962/03/09,121,B
+07DA001,1,1962/03/10,121,B
+07DA001,1,1962/03/11,121,B
+07DA001,1,1962/03/12,121,B
+07DA001,1,1962/03/13,121,B
+07DA001,1,1962/03/14,121,B
+07DA001,1,1962/03/15,122,B
+07DA001,1,1962/03/16,122,B
+07DA001,1,1962/03/17,123,B
+07DA001,1,1962/03/18,121,B
+07DA001,1,1962/03/19,121,B
+07DA001,1,1962/03/20,121,B
+07DA001,1,1962/03/21,121,B
+07DA001,1,1962/03/22,120,B
+07DA001,1,1962/03/23,121,B
+07DA001,1,1962/03/24,121,B
+07DA001,1,1962/03/25,120,B
+07DA001,1,1962/03/26,120,B
+07DA001,1,1962/03/27,121,B
+07DA001,1,1962/03/28,121,B
+07DA001,1,1962/03/29,121,B
+07DA001,1,1962/03/30,120,B
+07DA001,1,1962/03/31,119,B
+07DA001,1,1962/04/01,118,B
+07DA001,1,1962/04/02,118,B
+07DA001,1,1962/04/03,118,B
+07DA001,1,1962/04/04,119,B
+07DA001,1,1962/04/05,119,B
+07DA001,1,1962/04/06,121,B
+07DA001,1,1962/04/07,122,B
+07DA001,1,1962/04/08,125,B
+07DA001,1,1962/04/09,128,B
+07DA001,1,1962/04/10,132,B
+07DA001,1,1962/04/11,137,B
+07DA001,1,1962/04/12,146,B
+07DA001,1,1962/04/13,158,B
+07DA001,1,1962/04/14,177,B
+07DA001,1,1962/04/15,192,B
+07DA001,1,1962/04/16,334,B
+07DA001,1,1962/04/17,334,B
+07DA001,1,1962/04/18,334,B
+07DA001,1,1962/04/19,334,B
+07DA001,1,1962/04/20,334,B
+07DA001,1,1962/04/21,977,B
+07DA001,1,1962/04/22,977,B
+07DA001,1,1962/04/23,977,B
+07DA001,1,1962/04/24,977,B
+07DA001,1,1962/04/25,977,B
+07DA001,1,1962/04/26,1410,B
+07DA001,1,1962/04/27,1410,B
+07DA001,1,1962/04/28,1410,B
+07DA001,1,1962/04/29,1410,B
+07DA001,1,1962/04/30,1410,B
+07DA001,1,1962/05/01,1510,E
+07DA001,1,1962/05/02,1510,E
+07DA001,1,1962/05/03,1510,E
+07DA001,1,1962/05/04,1510,E
+07DA001,1,1962/05/05,1510,E
+07DA001,1,1962/05/06,1510,E
+07DA001,1,1962/05/07,1510,E
+07DA001,1,1962/05/08,1510,E
+07DA001,1,1962/05/09,1510,E
+07DA001,1,1962/05/10,1510,E
+07DA001,1,1962/05/11,1550,
+07DA001,1,1962/05/12,1590,
+07DA001,1,1962/05/13,1610,
+07DA001,1,1962/05/14,1620,
+07DA001,1,1962/05/15,1620,
+07DA001,1,1962/05/16,1630,E
+07DA001,1,1962/05/17,1630,E
+07DA001,1,1962/05/18,1630,E
+07DA001,1,1962/05/19,1630,E
+07DA001,1,1962/05/20,1630,E
+07DA001,1,1962/05/21,1630,E
+07DA001,1,1962/05/22,1630,E
+07DA001,1,1962/05/23,1790,E
+07DA001,1,1962/05/24,1790,E
+07DA001,1,1962/05/25,1790,E
+07DA001,1,1962/05/26,1790,E
+07DA001,1,1962/05/27,1790,E
+07DA001,1,1962/05/28,1790,E
+07DA001,1,1962/05/29,1790,E
+07DA001,1,1962/05/30,1790,E
+07DA001,1,1962/05/31,1790,E
+07DA001,1,1962/06/01,1760,E
+07DA001,1,1962/06/02,1760,E
+07DA001,1,1962/06/03,1760,E
+07DA001,1,1962/06/04,1760,E
+07DA001,1,1962/06/05,1760,E
+07DA001,1,1962/06/06,1760,E
+07DA001,1,1962/06/07,1760,E
+07DA001,1,1962/06/08,1760,E
+07DA001,1,1962/06/09,1760,E
+07DA001,1,1962/06/10,1760,E
+07DA001,1,1962/06/11,1850,E
+07DA001,1,1962/06/12,1850,E
+07DA001,1,1962/06/13,1850,E
+07DA001,1,1962/06/14,1850,E
+07DA001,1,1962/06/15,1850,E
+07DA001,1,1962/06/16,1850,E
+07DA001,1,1962/06/17,1850,E
+07DA001,1,1962/06/18,1850,E
+07DA001,1,1962/06/19,1850,E
+07DA001,1,1962/06/20,1850,E
+07DA001,1,1962/06/21,1850,E
+07DA001,1,1962/06/22,2000,
+07DA001,1,1962/06/23,2000,
+07DA001,1,1962/06/24,1960,
+07DA001,1,1962/06/25,1890,
+07DA001,1,1962/06/26,1790,
+07DA001,1,1962/06/27,1680,
+07DA001,1,1962/06/28,1590,
+07DA001,1,1962/06/29,1550,
+07DA001,1,1962/06/30,1590,
+07DA001,1,1962/07/01,1700,
+07DA001,1,1962/07/02,1870,
+07DA001,1,1962/07/03,2000,
+07DA001,1,1962/07/04,1930,
+07DA001,1,1962/07/05,1910,
+07DA001,1,1962/07/06,1930,
+07DA001,1,1962/07/07,1920,
+07DA001,1,1962/07/08,1830,
+07DA001,1,1962/07/09,1710,
+07DA001,1,1962/07/10,1580,
+07DA001,1,1962/07/11,1490,
+07DA001,1,1962/07/12,1420,
+07DA001,1,1962/07/13,1400,
+07DA001,1,1962/07/14,1430,
+07DA001,1,1962/07/15,1490,
+07DA001,1,1962/07/16,1560,
+07DA001,1,1962/07/17,1570,
+07DA001,1,1962/07/18,1610,
+07DA001,1,1962/07/19,1680,
+07DA001,1,1962/07/20,1760,
+07DA001,1,1962/07/21,1750,
+07DA001,1,1962/07/22,1900,
+07DA001,1,1962/07/23,2090,
+07DA001,1,1962/07/24,1970,
+07DA001,1,1962/07/25,1780,
+07DA001,1,1962/07/26,1680,
+07DA001,1,1962/07/27,1610,
+07DA001,1,1962/07/28,1510,
+07DA001,1,1962/07/29,1440,
+07DA001,1,1962/07/30,1420,
+07DA001,1,1962/07/31,1420,
+07DA001,1,1962/08/01,1400,
+07DA001,1,1962/08/02,1370,
+07DA001,1,1962/08/03,1340,
+07DA001,1,1962/08/04,1270,
+07DA001,1,1962/08/05,1190,
+07DA001,1,1962/08/06,1160,
+07DA001,1,1962/08/07,1170,
+07DA001,1,1962/08/08,1190,
+07DA001,1,1962/08/09,1260,
+07DA001,1,1962/08/10,1330,
+07DA001,1,1962/08/11,1330,
+07DA001,1,1962/08/12,1250,
+07DA001,1,1962/08/13,1180,
+07DA001,1,1962/08/14,1140,
+07DA001,1,1962/08/15,1100,
+07DA001,1,1962/08/16,1030,
+07DA001,1,1962/08/17,977,
+07DA001,1,1962/08/18,937,
+07DA001,1,1962/08/19,906,
+07DA001,1,1962/08/20,883,
+07DA001,1,1962/08/21,838,
+07DA001,1,1962/08/22,810,
+07DA001,1,1962/08/23,816,
+07DA001,1,1962/08/24,841,
+07DA001,1,1962/08/25,833,E
+07DA001,1,1962/08/26,833,E
+07DA001,1,1962/08/27,833,E
+07DA001,1,1962/08/28,895,
+07DA001,1,1962/08/29,787,
+07DA001,1,1962/08/30,787,E
+07DA001,1,1962/08/31,787,E
+07DA001,1,1962/09/01,759,E
+07DA001,1,1962/09/02,759,E
+07DA001,1,1962/09/03,759,E
+07DA001,1,1962/09/04,759,E
+07DA001,1,1962/09/05,759,E
+07DA001,1,1962/09/06,759,E
+07DA001,1,1962/09/07,759,E
+07DA001,1,1962/09/08,759,E
+07DA001,1,1962/09/09,722,E
+07DA001,1,1962/09/10,722,E
+07DA001,1,1962/09/11,722,E
+07DA001,1,1962/09/12,722,E
+07DA001,1,1962/09/13,722,E
+07DA001,1,1962/09/14,722,E
+07DA001,1,1962/09/15,722,E
+07DA001,1,1962/09/16,722,E
+07DA001,1,1962/09/17,844,
+07DA001,1,1962/09/18,912,
+07DA001,1,1962/09/19,889,
+07DA001,1,1962/09/20,838,
+07DA001,1,1962/09/21,816,
+07DA001,1,1962/09/22,674,E
+07DA001,1,1962/09/23,674,E
+07DA001,1,1962/09/24,674,E
+07DA001,1,1962/09/25,674,E
+07DA001,1,1962/09/26,674,E
+07DA001,1,1962/09/27,674,E
+07DA001,1,1962/09/28,674,E
+07DA001,1,1962/09/29,674,E
+07DA001,1,1962/09/30,674,E
+07DA001,1,1962/10/01,612,E
+07DA001,1,1962/10/02,597,E
+07DA001,1,1962/10/03,592,E
+07DA001,1,1962/10/04,595,E
+07DA001,1,1962/10/05,626,E
+07DA001,1,1962/10/06,578,E
+07DA001,1,1962/10/07,555,E
+07DA001,1,1962/10/08,532,E
+07DA001,1,1962/10/09,530,E
+07DA001,1,1962/10/10,524,E
+07DA001,1,1962/10/11,524,E
+07DA001,1,1962/10/12,510,E
+07DA001,1,1962/10/13,496,E
+07DA001,1,1962/10/14,490,E
+07DA001,1,1962/10/15,481,E
+07DA001,1,1962/10/16,484,E
+07DA001,1,1962/10/17,487,E
+07DA001,1,1962/10/18,490,E
+07DA001,1,1962/10/19,490,E
+07DA001,1,1962/10/20,487,E
+07DA001,1,1962/10/21,473,E
+07DA001,1,1962/10/22,459,E
+07DA001,1,1962/10/23,453,E
+07DA001,1,1962/10/24,447,E
+07DA001,1,1962/10/25,447,E
+07DA001,1,1962/10/26,453,E
+07DA001,1,1962/10/27,464,E
+07DA001,1,1962/10/28,473,E
+07DA001,1,1962/10/29,493,E
+07DA001,1,1962/10/30,479,E
+07DA001,1,1962/10/31,467,E
+07DA001,1,1962/11/01,456,E
+07DA001,1,1962/11/02,450,E
+07DA001,1,1962/11/03,447,E
+07DA001,1,1962/11/04,439,E
+07DA001,1,1962/11/05,436,E
+07DA001,1,1962/11/06,436,E
+07DA001,1,1962/11/07,439,E
+07DA001,1,1962/11/08,439,E
+07DA001,1,1962/11/09,442,E
+07DA001,1,1962/11/10,445,E
+07DA001,1,1962/11/11,439,E
+07DA001,1,1962/11/12,433,B
+07DA001,1,1962/11/13,425,B
+07DA001,1,1962/11/14,391,B
+07DA001,1,1962/11/15,351,B
+07DA001,1,1962/11/16,323,B
+07DA001,1,1962/11/17,306,B
+07DA001,1,1962/11/18,314,B
+07DA001,1,1962/11/19,306,B
+07DA001,1,1962/11/20,277,B
+07DA001,1,1962/11/21,270,B
+07DA001,1,1962/11/22,292,B
+07DA001,1,1962/11/23,345,B
+07DA001,1,1962/11/24,374,B
+07DA001,1,1962/11/25,317,B
+07DA001,1,1962/11/26,279,B
+07DA001,1,1962/11/27,294,B
+07DA001,1,1962/11/28,323,B
+07DA001,1,1962/11/29,309,B
+07DA001,1,1962/11/30,306,B
+07DA001,1,1962/12/01,286,B
+07DA001,1,1962/12/02,279,B
+07DA001,1,1962/12/03,283,B
+07DA001,1,1962/12/04,270,B
+07DA001,1,1962/12/05,264,B
+07DA001,1,1962/12/06,260,B
+07DA001,1,1962/12/07,249,B
+07DA001,1,1962/12/08,245,B
+07DA001,1,1962/12/09,239,B
+07DA001,1,1962/12/10,231,B
+07DA001,1,1962/12/11,232,B
+07DA001,1,1962/12/12,231,B
+07DA001,1,1962/12/13,227,B
+07DA001,1,1962/12/14,234,B
+07DA001,1,1962/12/15,235,B
+07DA001,1,1962/12/16,257,B
+07DA001,1,1962/12/17,254,B
+07DA001,1,1962/12/18,244,B
+07DA001,1,1962/12/19,242,B
+07DA001,1,1962/12/20,241,B
+07DA001,1,1962/12/21,240,B
+07DA001,1,1962/12/22,239,B
+07DA001,1,1962/12/23,234,B
+07DA001,1,1962/12/24,238,B
+07DA001,1,1962/12/25,246,B
+07DA001,1,1962/12/26,247,B
+07DA001,1,1962/12/27,236,B
+07DA001,1,1962/12/28,227,B
+07DA001,1,1962/12/29,218,B
+07DA001,1,1962/12/30,218,B
+07DA001,1,1962/12/31,219,B
+07DA001,1,1963/01/01,213,B
+07DA001,1,1963/01/02,206,B
+07DA001,1,1963/01/03,199,B
+07DA001,1,1963/01/04,195,B
+07DA001,1,1963/01/05,191,B
+07DA001,1,1963/01/06,189,B
+07DA001,1,1963/01/07,187,B
+07DA001,1,1963/01/08,191,B
+07DA001,1,1963/01/09,193,B
+07DA001,1,1963/01/10,202,B
+07DA001,1,1963/01/11,214,B
+07DA001,1,1963/01/12,223,B
+07DA001,1,1963/01/13,218,B
+07DA001,1,1963/01/14,214,B
+07DA001,1,1963/01/15,217,B
+07DA001,1,1963/01/16,217,B
+07DA001,1,1963/01/17,216,B
+07DA001,1,1963/01/18,211,B
+07DA001,1,1963/01/19,201,B
+07DA001,1,1963/01/20,191,B
+07DA001,1,1963/01/21,186,B
+07DA001,1,1963/01/22,186,B
+07DA001,1,1963/01/23,186,B
+07DA001,1,1963/01/24,189,B
+07DA001,1,1963/01/25,194,B
+07DA001,1,1963/01/26,198,B
+07DA001,1,1963/01/27,198,B
+07DA001,1,1963/01/28,198,B
+07DA001,1,1963/01/29,196,B
+07DA001,1,1963/01/30,193,B
+07DA001,1,1963/01/31,191,B
+07DA001,1,1963/02/01,193,B
+07DA001,1,1963/02/02,191,B
+07DA001,1,1963/02/03,191,B
+07DA001,1,1963/02/04,190,B
+07DA001,1,1963/02/05,191,B
+07DA001,1,1963/02/06,191,B
+07DA001,1,1963/02/07,191,B
+07DA001,1,1963/02/08,190,B
+07DA001,1,1963/02/09,189,B
+07DA001,1,1963/02/10,188,B
+07DA001,1,1963/02/11,188,B
+07DA001,1,1963/02/12,188,B
+07DA001,1,1963/02/13,189,B
+07DA001,1,1963/02/14,192,B
+07DA001,1,1963/02/15,196,B
+07DA001,1,1963/02/16,204,B
+07DA001,1,1963/02/17,202,B
+07DA001,1,1963/02/18,191,B
+07DA001,1,1963/02/19,192,B
+07DA001,1,1963/02/20,199,B
+07DA001,1,1963/02/21,200,B
+07DA001,1,1963/02/22,194,B
+07DA001,1,1963/02/23,191,B
+07DA001,1,1963/02/24,189,B
+07DA001,1,1963/02/25,189,B
+07DA001,1,1963/02/26,189,B
+07DA001,1,1963/02/27,188,B
+07DA001,1,1963/02/28,188,B
+07DA001,1,1963/03/01,187,B
+07DA001,1,1963/03/02,187,B
+07DA001,1,1963/03/03,188,B
+07DA001,1,1963/03/04,190,B
+07DA001,1,1963/03/05,191,B
+07DA001,1,1963/03/06,191,B
+07DA001,1,1963/03/07,191,B
+07DA001,1,1963/03/08,193,B
+07DA001,1,1963/03/09,192,B
+07DA001,1,1963/03/10,191,B
+07DA001,1,1963/03/11,191,B
+07DA001,1,1963/03/12,190,B
+07DA001,1,1963/03/13,189,B
+07DA001,1,1963/03/14,189,B
+07DA001,1,1963/03/15,190,B
+07DA001,1,1963/03/16,192,B
+07DA001,1,1963/03/17,189,B
+07DA001,1,1963/03/18,184,B
+07DA001,1,1963/03/19,183,B
+07DA001,1,1963/03/20,183,B
+07DA001,1,1963/03/21,185,B
+07DA001,1,1963/03/22,185,B
+07DA001,1,1963/03/23,185,B
+07DA001,1,1963/03/24,183,B
+07DA001,1,1963/03/25,187,B
+07DA001,1,1963/03/26,190,B
+07DA001,1,1963/03/27,191,B
+07DA001,1,1963/03/28,190,B
+07DA001,1,1963/03/29,191,B
+07DA001,1,1963/03/30,194,B
+07DA001,1,1963/03/31,193,B
+07DA001,1,1963/04/01,194,B
+07DA001,1,1963/04/02,194,B
+07DA001,1,1963/04/03,196,B
+07DA001,1,1963/04/04,196,B
+07DA001,1,1963/04/05,195,B
+07DA001,1,1963/04/06,196,B
+07DA001,1,1963/04/07,196,B
+07DA001,1,1963/04/08,196,B
+07DA001,1,1963/04/09,195,B
+07DA001,1,1963/04/10,199,B
+07DA001,1,1963/04/11,207,B
+07DA001,1,1963/04/12,199,B
+07DA001,1,1963/04/13,201,B
+07DA001,1,1963/04/14,205,B
+07DA001,1,1963/04/15,212,B
+07DA001,1,1963/04/16,253,B
+07DA001,1,1963/04/17,259,B
+07DA001,1,1963/04/18,300,B
+07DA001,1,1963/04/19,368,B
+07DA001,1,1963/04/20,501,B
+07DA001,1,1963/04/21,1360,B
+07DA001,1,1963/04/22,1950,B
+07DA001,1,1963/04/23,1910,E
+07DA001,1,1963/04/24,1940,E
+07DA001,1,1963/04/25,2100,E
+07DA001,1,1963/04/26,2150,E
+07DA001,1,1963/04/27,1880,E
+07DA001,1,1963/04/28,1950,E
+07DA001,1,1963/04/29,2090,E
+07DA001,1,1963/04/30,2250,E
+07DA001,1,1963/05/01,2330,E
+07DA001,1,1963/05/02,2250,E
+07DA001,1,1963/05/03,2190,E
+07DA001,1,1963/05/04,2210,E
+07DA001,1,1963/05/05,2180,E
+07DA001,1,1963/05/06,2050,E
+07DA001,1,1963/05/07,1870,E
+07DA001,1,1963/05/08,1710,E
+07DA001,1,1963/05/09,1570,E
+07DA001,1,1963/05/10,1470,E
+07DA001,1,1963/05/11,1420,E
+07DA001,1,1963/05/12,1370,E
+07DA001,1,1963/05/13,1330,E
+07DA001,1,1963/05/14,1290,E
+07DA001,1,1963/05/15,1250,E
+07DA001,1,1963/05/16,1250,E
+07DA001,1,1963/05/17,1250,E
+07DA001,1,1963/05/18,1260,E
+07DA001,1,1963/05/19,1270,E
+07DA001,1,1963/05/20,1270,E
+07DA001,1,1963/05/21,1260,E
+07DA001,1,1963/05/22,1210,E
+07DA001,1,1963/05/23,1160,E
+07DA001,1,1963/05/24,1120,E
+07DA001,1,1963/05/25,1090,
+07DA001,1,1963/05/26,1070,
+07DA001,1,1963/05/27,1080,
+07DA001,1,1963/05/28,1140,
+07DA001,1,1963/05/29,1230,
+07DA001,1,1963/05/30,1310,
+07DA001,1,1963/05/31,1290,
+07DA001,1,1963/06/01,1260,
+07DA001,1,1963/06/02,1200,
+07DA001,1,1963/06/03,1160,
+07DA001,1,1963/06/04,1170,
+07DA001,1,1963/06/05,1300,
+07DA001,1,1963/06/06,1360,
+07DA001,1,1963/06/07,1310,
+07DA001,1,1963/06/08,1220,
+07DA001,1,1963/06/09,1170,
+07DA001,1,1963/06/10,1170,
+07DA001,1,1963/06/11,1210,
+07DA001,1,1963/06/12,1260,
+07DA001,1,1963/06/13,1260,
+07DA001,1,1963/06/14,1210,
+07DA001,1,1963/06/15,1160,
+07DA001,1,1963/06/16,1100,E
+07DA001,1,1963/06/17,1120,E
+07DA001,1,1963/06/18,1170,E
+07DA001,1,1963/06/19,1160,E
+07DA001,1,1963/06/20,1160,E
+07DA001,1,1963/06/21,1160,E
+07DA001,1,1963/06/22,1190,E
+07DA001,1,1963/06/23,1250,E
+07DA001,1,1963/06/24,1290,E
+07DA001,1,1963/06/25,1300,E
+07DA001,1,1963/06/26,1260,E
+07DA001,1,1963/06/27,1110,E
+07DA001,1,1963/06/28,1010,E
+07DA001,1,1963/06/29,949,E
+07DA001,1,1963/06/30,917,E
+07DA001,1,1963/07/01,900,E
+07DA001,1,1963/07/02,883,E
+07DA001,1,1963/07/03,830,E
+07DA001,1,1963/07/04,773,E
+07DA001,1,1963/07/05,739,E
+07DA001,1,1963/07/06,725,E
+07DA001,1,1963/07/07,719,E
+07DA001,1,1963/07/08,728,E
+07DA001,1,1963/07/09,782,E
+07DA001,1,1963/07/10,850,E
+07DA001,1,1963/07/11,957,E
+07DA001,1,1963/07/12,1030,E
+07DA001,1,1963/07/13,1130,E
+07DA001,1,1963/07/14,1210,E
+07DA001,1,1963/07/15,1220,E
+07DA001,1,1963/07/16,1020,A
+07DA001,1,1963/07/17,960,
+07DA001,1,1963/07/18,900,
+07DA001,1,1963/07/19,875,
+07DA001,1,1963/07/20,906,
+07DA001,1,1963/07/21,997,
+07DA001,1,1963/07/22,1030,
+07DA001,1,1963/07/23,985,
+07DA001,1,1963/07/24,943,
+07DA001,1,1963/07/25,912,
+07DA001,1,1963/07/26,900,
+07DA001,1,1963/07/27,912,
+07DA001,1,1963/07/28,920,
+07DA001,1,1963/07/29,903,
+07DA001,1,1963/07/30,855,
+07DA001,1,1963/07/31,799,
+07DA001,1,1963/08/01,776,
+07DA001,1,1963/08/02,776,
+07DA001,1,1963/08/03,793,
+07DA001,1,1963/08/04,793,
+07DA001,1,1963/08/05,759,
+07DA001,1,1963/08/06,714,
+07DA001,1,1963/08/07,685,
+07DA001,1,1963/08/08,654,
+07DA001,1,1963/08/09,634,
+07DA001,1,1963/08/10,620,
+07DA001,1,1963/08/11,634,
+07DA001,1,1963/08/12,671,
+07DA001,1,1963/08/13,694,
+07DA001,1,1963/08/14,699,
+07DA001,1,1963/08/15,691,
+07DA001,1,1963/08/16,677,
+07DA001,1,1963/08/17,697,
+07DA001,1,1963/08/18,716,
+07DA001,1,1963/08/19,765,
+07DA001,1,1963/08/20,807,
+07DA001,1,1963/08/21,804,
+07DA001,1,1963/08/22,784,
+07DA001,1,1963/08/23,728,
+07DA001,1,1963/08/24,682,
+07DA001,1,1963/08/25,648,
+07DA001,1,1963/08/26,626,
+07DA001,1,1963/08/27,612,
+07DA001,1,1963/08/28,595,
+07DA001,1,1963/08/29,583,
+07DA001,1,1963/08/30,569,
+07DA001,1,1963/08/31,561,
+07DA001,1,1963/09/01,561,
+07DA001,1,1963/09/02,558,
+07DA001,1,1963/09/03,566,
+07DA001,1,1963/09/04,561,
+07DA001,1,1963/09/05,555,
+07DA001,1,1963/09/06,555,
+07DA001,1,1963/09/07,555,
+07DA001,1,1963/09/08,552,
+07DA001,1,1963/09/09,558,
+07DA001,1,1963/09/10,572,
+07DA001,1,1963/09/11,583,
+07DA001,1,1963/09/12,592,
+07DA001,1,1963/09/13,606,
+07DA001,1,1963/09/14,606,
+07DA001,1,1963/09/15,620,
+07DA001,1,1963/09/16,629,
+07DA001,1,1963/09/17,651,
+07DA001,1,1963/09/18,640,
+07DA001,1,1963/09/19,634,
+07DA001,1,1963/09/20,660,
+07DA001,1,1963/09/21,671,
+07DA001,1,1963/09/22,651,
+07DA001,1,1963/09/23,634,
+07DA001,1,1963/09/24,609,
+07DA001,1,1963/09/25,583,
+07DA001,1,1963/09/26,561,
+07DA001,1,1963/09/27,544,
+07DA001,1,1963/09/28,527,
+07DA001,1,1963/09/29,518,
+07DA001,1,1963/09/30,521,
+07DA001,1,1963/10/01,535,
+07DA001,1,1963/10/02,521,
+07DA001,1,1963/10/03,507,
+07DA001,1,1963/10/04,504,
+07DA001,1,1963/10/05,504,
+07DA001,1,1963/10/06,498,
+07DA001,1,1963/10/07,498,
+07DA001,1,1963/10/08,510,
+07DA001,1,1963/10/09,498,
+07DA001,1,1963/10/10,490,
+07DA001,1,1963/10/11,493,
+07DA001,1,1963/10/12,487,
+07DA001,1,1963/10/13,470,
+07DA001,1,1963/10/14,462,
+07DA001,1,1963/10/15,447,
+07DA001,1,1963/10/16,439,
+07DA001,1,1963/10/17,430,
+07DA001,1,1963/10/18,425,
+07DA001,1,1963/10/19,419,
+07DA001,1,1963/10/20,416,
+07DA001,1,1963/10/21,416,
+07DA001,1,1963/10/22,419,
+07DA001,1,1963/10/23,428,
+07DA001,1,1963/10/24,428,
+07DA001,1,1963/10/25,422,
+07DA001,1,1963/10/26,425,
+07DA001,1,1963/10/27,422,
+07DA001,1,1963/10/28,413,
+07DA001,1,1963/10/29,405,
+07DA001,1,1963/10/30,405,
+07DA001,1,1963/10/31,416,
+07DA001,1,1963/11/01,408,
+07DA001,1,1963/11/02,402,
+07DA001,1,1963/11/03,399,
+07DA001,1,1963/11/04,399,
+07DA001,1,1963/11/05,396,
+07DA001,1,1963/11/06,391,
+07DA001,1,1963/11/07,382,
+07DA001,1,1963/11/08,385,
+07DA001,1,1963/11/09,385,
+07DA001,1,1963/11/10,377,
+07DA001,1,1963/11/11,360,
+07DA001,1,1963/11/12,340,
+07DA001,1,1963/11/13,331,
+07DA001,1,1963/11/14,326,
+07DA001,1,1963/11/15,306,
+07DA001,1,1963/11/16,283,B
+07DA001,1,1963/11/17,243,B
+07DA001,1,1963/11/18,247,B
+07DA001,1,1963/11/19,210,B
+07DA001,1,1963/11/20,207,B
+07DA001,1,1963/11/21,195,B
+07DA001,1,1963/11/22,212,B
+07DA001,1,1963/11/23,200,B
+07DA001,1,1963/11/24,196,B
+07DA001,1,1963/11/25,186,B
+07DA001,1,1963/11/26,183,B
+07DA001,1,1963/11/27,185,B
+07DA001,1,1963/11/28,192,B
+07DA001,1,1963/11/29,177,B
+07DA001,1,1963/11/30,175,B
+07DA001,1,1964/03/01,117,B
+07DA001,1,1964/03/02,117,B
+07DA001,1,1964/03/03,120,B
+07DA001,1,1964/03/04,121,B
+07DA001,1,1964/03/05,122,B
+07DA001,1,1964/03/06,122,B
+07DA001,1,1964/03/07,123,B
+07DA001,1,1964/03/08,121,B
+07DA001,1,1964/03/09,120,B
+07DA001,1,1964/03/10,120,B
+07DA001,1,1964/03/11,121,B
+07DA001,1,1964/03/12,122,B
+07DA001,1,1964/03/13,123,B
+07DA001,1,1964/03/14,124,B
+07DA001,1,1964/03/15,126,B
+07DA001,1,1964/03/16,127,B
+07DA001,1,1964/03/17,129,B
+07DA001,1,1964/03/18,129,B
+07DA001,1,1964/03/19,128,B
+07DA001,1,1964/03/20,128,B
+07DA001,1,1964/03/21,128,B
+07DA001,1,1964/03/22,129,B
+07DA001,1,1964/03/23,128,B
+07DA001,1,1964/03/24,126,B
+07DA001,1,1964/03/25,128,B
+07DA001,1,1964/03/26,130,B
+07DA001,1,1964/03/27,131,B
+07DA001,1,1964/03/28,132,B
+07DA001,1,1964/03/29,133,B
+07DA001,1,1964/03/30,133,B
+07DA001,1,1964/03/31,132,B
+07DA001,1,1964/04/01,131,B
+07DA001,1,1964/04/02,133,B
+07DA001,1,1964/04/03,133,B
+07DA001,1,1964/04/04,136,B
+07DA001,1,1964/04/05,133,B
+07DA001,1,1964/04/06,136,B
+07DA001,1,1964/04/07,143,
+07DA001,1,1964/04/08,153,B
+07DA001,1,1964/04/09,172,B
+07DA001,1,1964/04/10,194,B
+07DA001,1,1964/04/11,214,B
+07DA001,1,1964/04/12,217,B
+07DA001,1,1964/04/13,229,B
+07DA001,1,1964/04/14,228,B
+07DA001,1,1964/04/15,233,B
+07DA001,1,1964/04/16,218,B
+07DA001,1,1964/04/17,218,B
+07DA001,1,1964/04/18,221,B
+07DA001,1,1964/04/19,224,B
+07DA001,1,1964/04/20,229,B
+07DA001,1,1964/04/21,238,B
+07DA001,1,1964/04/22,242,B
+07DA001,1,1964/04/23,240,B
+07DA001,1,1964/04/24,283,B
+07DA001,1,1964/04/25,283,B
+07DA001,1,1964/04/26,283,B
+07DA001,1,1964/04/27,283,B
+07DA001,1,1964/04/28,283,E
+07DA001,1,1964/04/29,283,E
+07DA001,1,1964/04/30,283,E
+07DA001,1,1964/05/01,566,E
+07DA001,1,1964/05/02,566,E
+07DA001,1,1964/05/03,566,E
+07DA001,1,1964/05/04,566,E
+07DA001,1,1964/05/05,566,E
+07DA001,1,1964/05/06,566,E
+07DA001,1,1964/05/07,651,
+07DA001,1,1964/05/08,801,
+07DA001,1,1964/05/09,920,
+07DA001,1,1964/05/10,1000,
+07DA001,1,1964/05/11,1440,
+07DA001,1,1964/05/12,1420,
+07DA001,1,1964/05/13,1330,
+07DA001,1,1964/05/14,1290,
+07DA001,1,1964/05/15,1220,
+07DA001,1,1964/05/16,1140,
+07DA001,1,1964/05/17,1080,
+07DA001,1,1964/05/18,1050,
+07DA001,1,1964/05/19,1040,
+07DA001,1,1964/05/20,994,
+07DA001,1,1964/05/21,954,
+07DA001,1,1964/05/22,917,
+07DA001,1,1964/05/23,915,
+07DA001,1,1964/05/24,920,
+07DA001,1,1964/05/25,960,
+07DA001,1,1964/05/26,1040,
+07DA001,1,1964/05/27,1100,
+07DA001,1,1964/05/28,1100,
+07DA001,1,1964/05/29,1050,
+07DA001,1,1964/05/30,985,
+07DA001,1,1964/05/31,932,
+07DA001,1,1964/06/01,872,
+07DA001,1,1964/06/02,818,
+07DA001,1,1964/06/03,782,
+07DA001,1,1964/06/04,776,
+07DA001,1,1964/06/05,776,
+07DA001,1,1964/06/06,793,
+07DA001,1,1964/06/07,841,
+07DA001,1,1964/06/08,926,
+07DA001,1,1964/06/09,974,
+07DA001,1,1964/06/10,988,
+07DA001,1,1964/06/11,1010,
+07DA001,1,1964/06/12,1060,
+07DA001,1,1964/06/13,1140,
+07DA001,1,1964/06/14,1260,
+07DA001,1,1964/06/15,1210,
+07DA001,1,1964/06/16,1180,
+07DA001,1,1964/06/17,1240,
+07DA001,1,1964/06/18,1370,
+07DA001,1,1964/06/19,1410,
+07DA001,1,1964/06/20,1460,
+07DA001,1,1964/06/21,1420,
+07DA001,1,1964/06/22,1370,
+07DA001,1,1964/06/23,1530,
+07DA001,1,1964/06/24,1630,
+07DA001,1,1964/06/25,1490,
+07DA001,1,1964/06/26,1340,
+07DA001,1,1964/06/27,1240,
+07DA001,1,1964/06/28,1180,
+07DA001,1,1964/06/29,1130,
+07DA001,1,1964/06/30,1100,
+07DA001,1,1964/07/01,1050,
+07DA001,1,1964/07/02,1020,
+07DA001,1,1964/07/03,1070,
+07DA001,1,1964/07/04,1080,
+07DA001,1,1964/07/05,997,
+07DA001,1,1964/07/06,926,
+07DA001,1,1964/07/07,878,
+07DA001,1,1964/07/08,875,
+07DA001,1,1964/07/09,895,
+07DA001,1,1964/07/10,954,
+07DA001,1,1964/07/11,983,
+07DA001,1,1964/07/12,957,
+07DA001,1,1964/07/13,968,
+07DA001,1,1964/07/14,1060,
+07DA001,1,1964/07/15,1120,
+07DA001,1,1964/07/16,1070,
+07DA001,1,1964/07/17,997,
+07DA001,1,1964/07/18,1030,
+07DA001,1,1964/07/19,1210,
+07DA001,1,1964/07/20,1350,
+07DA001,1,1964/07/21,1500,
+07DA001,1,1964/07/22,1390,
+07DA001,1,1964/07/23,1280,
+07DA001,1,1964/07/24,1220,
+07DA001,1,1964/07/25,1140,
+07DA001,1,1964/07/26,1070,
+07DA001,1,1964/07/27,1010,
+07DA001,1,1964/07/28,980,
+07DA001,1,1964/07/29,920,
+07DA001,1,1964/07/30,855,
+07DA001,1,1964/07/31,821,
+07DA001,1,1964/08/01,807,
+07DA001,1,1964/08/02,824,
+07DA001,1,1964/08/03,855,
+07DA001,1,1964/08/04,997,
+07DA001,1,1964/08/05,1520,
+07DA001,1,1964/08/06,1600,
+07DA001,1,1964/08/07,1500,
+07DA001,1,1964/08/08,1380,
+07DA001,1,1964/08/09,1300,
+07DA001,1,1964/08/10,1370,
+07DA001,1,1964/08/11,1280,
+07DA001,1,1964/08/12,1160,
+07DA001,1,1964/08/13,1100,
+07DA001,1,1964/08/14,1090,
+07DA001,1,1964/08/15,1050,
+07DA001,1,1964/08/16,991,
+07DA001,1,1964/08/17,940,
+07DA001,1,1964/08/18,900,
+07DA001,1,1964/08/19,886,
+07DA001,1,1964/08/20,869,
+07DA001,1,1964/08/21,833,
+07DA001,1,1964/08/22,801,
+07DA001,1,1964/08/23,799,
+07DA001,1,1964/08/24,818,
+07DA001,1,1964/08/25,824,
+07DA001,1,1964/08/26,790,
+07DA001,1,1964/08/27,753,
+07DA001,1,1964/08/28,722,
+07DA001,1,1964/08/29,708,
+07DA001,1,1964/08/30,699,
+07DA001,1,1964/08/31,691,
+07DA001,1,1964/09/01,691,
+07DA001,1,1964/09/02,714,
+07DA001,1,1964/09/03,722,
+07DA001,1,1964/09/04,739,
+07DA001,1,1964/09/05,779,
+07DA001,1,1964/09/06,867,
+07DA001,1,1964/09/07,906,
+07DA001,1,1964/09/08,881,
+07DA001,1,1964/09/09,892,
+07DA001,1,1964/09/10,898,
+07DA001,1,1964/09/11,881,
+07DA001,1,1964/09/12,864,
+07DA001,1,1964/09/13,850,
+07DA001,1,1964/09/14,855,
+07DA001,1,1964/09/15,881,
+07DA001,1,1964/09/16,852,
+07DA001,1,1964/09/17,816,
+07DA001,1,1964/09/18,793,
+07DA001,1,1964/09/19,770,
+07DA001,1,1964/09/20,756,
+07DA001,1,1964/09/21,742,
+07DA001,1,1964/09/22,739,
+07DA001,1,1964/09/23,900,
+07DA001,1,1964/09/24,1000,
+07DA001,1,1964/09/25,937,
+07DA001,1,1964/09/26,881,
+07DA001,1,1964/09/27,850,
+07DA001,1,1964/09/28,804,
+07DA001,1,1964/09/29,784,
+07DA001,1,1964/09/30,1010,
+07DA001,1,1964/10/01,1230,
+07DA001,1,1964/10/02,1230,
+07DA001,1,1964/10/03,1240,
+07DA001,1,1964/10/04,1170,
+07DA001,1,1964/10/05,1130,
+07DA001,1,1964/10/06,991,E
+07DA001,1,1964/10/07,991,E
+07DA001,1,1964/10/08,991,E
+07DA001,1,1964/10/09,991,E
+07DA001,1,1964/10/10,991,E
+07DA001,1,1964/10/11,991,E
+07DA001,1,1964/10/12,991,E
+07DA001,1,1964/10/13,991,E
+07DA001,1,1964/10/14,850,E
+07DA001,1,1964/10/15,850,E
+07DA001,1,1964/10/16,850,E
+07DA001,1,1964/10/17,850,E
+07DA001,1,1964/10/18,850,E
+07DA001,1,1964/10/19,850,E
+07DA001,1,1964/10/20,850,E
+07DA001,1,1964/10/21,697,
+07DA001,1,1964/10/22,699,
+07DA001,1,1964/10/23,677,
+07DA001,1,1964/10/24,651,
+07DA001,1,1964/10/25,634,
+07DA001,1,1964/10/26,614,
+07DA001,1,1964/10/27,606,
+07DA001,1,1964/10/28,595,
+07DA001,1,1964/10/29,586,
+07DA001,1,1964/10/30,578,
+07DA001,1,1964/10/31,566,
+07DA001,1,1964/11/01,561,
+07DA001,1,1964/11/02,544,
+07DA001,1,1964/11/03,521,
+07DA001,1,1964/11/04,510,
+07DA001,1,1964/11/05,513,
+07DA001,1,1964/11/06,521,
+07DA001,1,1964/11/07,524,
+07DA001,1,1964/11/08,504,
+07DA001,1,1964/11/09,498,
+07DA001,1,1964/11/10,476,
+07DA001,1,1964/11/11,442,
+07DA001,1,1964/11/12,493,
+07DA001,1,1964/11/13,507,
+07DA001,1,1964/11/14,476,
+07DA001,1,1964/11/15,450,
+07DA001,1,1964/11/16,416,
+07DA001,1,1964/11/17,365,
+07DA001,1,1964/11/18,326,B
+07DA001,1,1964/11/19,237,B
+07DA001,1,1964/11/20,166,B
+07DA001,1,1964/11/21,250,B
+07DA001,1,1964/11/22,218,B
+07DA001,1,1964/11/23,195,B
+07DA001,1,1964/11/24,179,B
+07DA001,1,1964/11/25,165,B
+07DA001,1,1964/11/26,156,B
+07DA001,1,1964/11/27,141,B
+07DA001,1,1964/11/28,120,B
+07DA001,1,1964/11/29,163,B
+07DA001,1,1964/11/30,182,B
+07DA001,1,1964/12/01,163,B
+07DA001,1,1964/12/02,140,B
+07DA001,1,1964/12/03,126,B
+07DA001,1,1964/12/04,126,B
+07DA001,1,1964/12/05,128,B
+07DA001,1,1964/12/06,156,B
+07DA001,1,1964/12/07,166,B
+07DA001,1,1964/12/08,165,B
+07DA001,1,1964/12/09,170,B
+07DA001,1,1964/12/10,166,B
+07DA001,1,1964/12/11,155,B
+07DA001,1,1964/12/12,142,B
+07DA001,1,1964/12/13,135,B
+07DA001,1,1964/12/14,144,B
+07DA001,1,1964/12/15,178,B
+07DA001,1,1964/12/16,196,B
+07DA001,1,1964/12/17,208,B
+07DA001,1,1964/12/18,221,B
+07DA001,1,1964/12/19,219,B
+07DA001,1,1964/12/20,204,B
+07DA001,1,1964/12/21,191,B
+07DA001,1,1964/12/22,191,B
+07DA001,1,1964/12/23,188,B
+07DA001,1,1964/12/24,186,B
+07DA001,1,1964/12/25,184,B
+07DA001,1,1964/12/26,183,B
+07DA001,1,1964/12/27,193,B
+07DA001,1,1964/12/28,196,B
+07DA001,1,1964/12/29,198,B
+07DA001,1,1964/12/30,210,B
+07DA001,1,1964/12/31,208,B
+07DA001,1,1965/01/01,207,B
+07DA001,1,1965/01/02,205,B
+07DA001,1,1965/01/03,205,B
+07DA001,1,1965/01/04,208,B
+07DA001,1,1965/01/05,212,B
+07DA001,1,1965/01/06,213,B
+07DA001,1,1965/01/07,218,B
+07DA001,1,1965/01/08,219,B
+07DA001,1,1965/01/09,219,B
+07DA001,1,1965/01/10,217,B
+07DA001,1,1965/01/11,214,B
+07DA001,1,1965/01/12,214,B
+07DA001,1,1965/01/13,210,B
+07DA001,1,1965/01/14,208,B
+07DA001,1,1965/01/15,206,B
+07DA001,1,1965/01/16,203,B
+07DA001,1,1965/01/17,202,B
+07DA001,1,1965/01/18,201,B
+07DA001,1,1965/01/19,199,B
+07DA001,1,1965/01/20,198,B
+07DA001,1,1965/01/21,198,B
+07DA001,1,1965/01/22,201,B
+07DA001,1,1965/01/23,202,B
+07DA001,1,1965/01/24,202,B
+07DA001,1,1965/01/25,204,B
+07DA001,1,1965/01/26,208,B
+07DA001,1,1965/01/27,211,B
+07DA001,1,1965/01/28,207,B
+07DA001,1,1965/01/29,200,B
+07DA001,1,1965/01/30,197,B
+07DA001,1,1965/01/31,194,B
+07DA001,1,1965/02/01,191,B
+07DA001,1,1965/02/02,189,B
+07DA001,1,1965/02/03,188,B
+07DA001,1,1965/02/04,185,B
+07DA001,1,1965/02/05,183,B
+07DA001,1,1965/02/06,180,B
+07DA001,1,1965/02/07,180,B
+07DA001,1,1965/02/08,178,B
+07DA001,1,1965/02/09,175,B
+07DA001,1,1965/02/10,175,B
+07DA001,1,1965/02/11,174,B
+07DA001,1,1965/02/12,173,B
+07DA001,1,1965/02/13,171,B
+07DA001,1,1965/02/14,170,B
+07DA001,1,1965/02/15,167,B
+07DA001,1,1965/02/16,167,B
+07DA001,1,1965/02/17,167,B
+07DA001,1,1965/02/18,169,B
+07DA001,1,1965/02/19,171,B
+07DA001,1,1965/02/20,174,B
+07DA001,1,1965/02/21,174,B
+07DA001,1,1965/02/22,174,B
+07DA001,1,1965/02/23,172,B
+07DA001,1,1965/02/24,171,B
+07DA001,1,1965/02/25,168,B
+07DA001,1,1965/02/26,167,B
+07DA001,1,1965/02/27,166,B
+07DA001,1,1965/02/28,166,B
+07DA001,1,1965/03/01,167,B
+07DA001,1,1965/03/02,173,B
+07DA001,1,1965/03/03,180,B
+07DA001,1,1965/03/04,177,B
+07DA001,1,1965/03/05,172,B
+07DA001,1,1965/03/06,167,B
+07DA001,1,1965/03/07,168,B
+07DA001,1,1965/03/08,169,B
+07DA001,1,1965/03/09,171,B
+07DA001,1,1965/03/10,172,B
+07DA001,1,1965/03/11,174,B
+07DA001,1,1965/03/12,173,B
+07DA001,1,1965/03/13,175,B
+07DA001,1,1965/03/14,178,B
+07DA001,1,1965/03/15,182,B
+07DA001,1,1965/03/16,185,B
+07DA001,1,1965/03/17,189,B
+07DA001,1,1965/03/18,193,B
+07DA001,1,1965/03/19,188,B
+07DA001,1,1965/03/20,189,B
+07DA001,1,1965/03/21,196,B
+07DA001,1,1965/03/22,197,B
+07DA001,1,1965/03/23,193,B
+07DA001,1,1965/03/24,192,B
+07DA001,1,1965/03/25,191,B
+07DA001,1,1965/03/26,191,B
+07DA001,1,1965/03/27,190,B
+07DA001,1,1965/03/28,190,B
+07DA001,1,1965/03/29,190,B
+07DA001,1,1965/03/30,190,B
+07DA001,1,1965/03/31,190,B
+07DA001,1,1965/04/01,176,B
+07DA001,1,1965/04/02,176,B
+07DA001,1,1965/04/03,176,B
+07DA001,1,1965/04/04,176,B
+07DA001,1,1965/04/05,176,B
+07DA001,1,1965/04/06,176,B
+07DA001,1,1965/04/07,164,B
+07DA001,1,1965/04/08,194,B
+07DA001,1,1965/04/09,194,B
+07DA001,1,1965/04/10,194,B
+07DA001,1,1965/04/11,194,B
+07DA001,1,1965/04/12,194,B
+07DA001,1,1965/04/13,194,B
+07DA001,1,1965/04/14,194,B
+07DA001,1,1965/04/15,194,B
+07DA001,1,1965/04/16,643,B
+07DA001,1,1965/04/17,643,B
+07DA001,1,1965/04/18,643,B
+07DA001,1,1965/04/19,643,B
+07DA001,1,1965/04/20,643,B
+07DA001,1,1965/04/21,643,B
+07DA001,1,1965/04/22,643,B
+07DA001,1,1965/04/23,643,B
+07DA001,1,1965/04/24,643,B
+07DA001,1,1965/04/25,643,B
+07DA001,1,1965/04/26,643,B
+07DA001,1,1965/04/27,643,B
+07DA001,1,1965/04/28,643,B
+07DA001,1,1965/04/29,643,B
+07DA001,1,1965/04/30,643,B
+07DA001,1,1965/05/01,2740,
+07DA001,1,1965/05/02,2680,
+07DA001,1,1965/05/03,2510,
+07DA001,1,1965/05/04,2380,
+07DA001,1,1965/05/05,2250,
+07DA001,1,1965/05/06,2120,
+07DA001,1,1965/05/07,2000,
+07DA001,1,1965/05/08,1900,
+07DA001,1,1965/05/09,1770,
+07DA001,1,1965/05/10,1660,
+07DA001,1,1965/05/11,1550,
+07DA001,1,1965/05/12,1470,
+07DA001,1,1965/05/13,1440,
+07DA001,1,1965/05/14,1440,
+07DA001,1,1965/05/15,1430,
+07DA001,1,1965/05/16,1410,
+07DA001,1,1965/05/17,1400,
+07DA001,1,1965/05/18,1380,
+07DA001,1,1965/05/19,1370,
+07DA001,1,1965/05/20,1380,
+07DA001,1,1965/05/21,1390,
+07DA001,1,1965/05/22,1380,
+07DA001,1,1965/05/23,1350,
+07DA001,1,1965/05/24,1290,
+07DA001,1,1965/05/25,1240,
+07DA001,1,1965/05/26,1210,
+07DA001,1,1965/05/27,1180,
+07DA001,1,1965/05/28,1160,
+07DA001,1,1965/05/29,1150,
+07DA001,1,1965/05/30,1210,
+07DA001,1,1965/05/31,1310,
+07DA001,1,1965/06/01,1350,
+07DA001,1,1965/06/02,1440,
+07DA001,1,1965/06/03,1750,
+07DA001,1,1965/06/04,2570,
+07DA001,1,1965/06/05,2730,
+07DA001,1,1965/06/06,2420,
+07DA001,1,1965/06/07,2280,
+07DA001,1,1965/06/08,2180,
+07DA001,1,1965/06/09,2010,
+07DA001,1,1965/06/10,1900,
+07DA001,1,1965/06/11,1820,
+07DA001,1,1965/06/12,1700,
+07DA001,1,1965/06/13,1580,
+07DA001,1,1965/06/14,1570,
+07DA001,1,1965/06/15,1680,
+07DA001,1,1965/06/16,1810,
+07DA001,1,1965/06/17,1850,
+07DA001,1,1965/06/18,1790,
+07DA001,1,1965/06/19,1670,
+07DA001,1,1965/06/20,1590,
+07DA001,1,1965/06/21,1560,
+07DA001,1,1965/06/22,1560,
+07DA001,1,1965/06/23,1610,
+07DA001,1,1965/06/24,1650,
+07DA001,1,1965/06/25,1560,
+07DA001,1,1965/06/26,1460,
+07DA001,1,1965/06/27,1410,
+07DA001,1,1965/06/28,1380,
+07DA001,1,1965/06/29,1380,
+07DA001,1,1965/06/30,1520,
+07DA001,1,1965/07/01,3000,
+07DA001,1,1965/07/02,3850,
+07DA001,1,1965/07/03,3400,
+07DA001,1,1965/07/04,2860,
+07DA001,1,1965/07/05,2590,
+07DA001,1,1965/07/06,2420,
+07DA001,1,1965/07/07,2320,
+07DA001,1,1965/07/08,2240,
+07DA001,1,1965/07/09,2110,
+07DA001,1,1965/07/10,1980,
+07DA001,1,1965/07/11,1910,
+07DA001,1,1965/07/12,2270,
+07DA001,1,1965/07/13,3140,
+07DA001,1,1965/07/14,3260,
+07DA001,1,1965/07/15,3200,
+07DA001,1,1965/07/16,3170,
+07DA001,1,1965/07/17,2830,
+07DA001,1,1965/07/18,2510,
+07DA001,1,1965/07/19,2310,
+07DA001,1,1965/07/20,2160,
+07DA001,1,1965/07/21,2060,
+07DA001,1,1965/07/22,1950,
+07DA001,1,1965/07/23,1830,
+07DA001,1,1965/07/24,1710,
+07DA001,1,1965/07/25,1590,
+07DA001,1,1965/07/26,1490,
+07DA001,1,1965/07/27,1440,
+07DA001,1,1965/07/28,1400,
+07DA001,1,1965/07/29,1350,
+07DA001,1,1965/07/30,1310,
+07DA001,1,1965/07/31,1310,
+07DA001,1,1965/08/01,1320,
+07DA001,1,1965/08/02,1320,
+07DA001,1,1965/08/03,1290,
+07DA001,1,1965/08/04,1260,
+07DA001,1,1965/08/05,1190,
+07DA001,1,1965/08/06,1150,
+07DA001,1,1965/08/07,1110,
+07DA001,1,1965/08/08,1100,
+07DA001,1,1965/08/09,1080,
+07DA001,1,1965/08/10,1060,
+07DA001,1,1965/08/11,1030,
+07DA001,1,1965/08/12,991,
+07DA001,1,1965/08/13,988,
+07DA001,1,1965/08/14,1100,
+07DA001,1,1965/08/15,1150,
+07DA001,1,1965/08/16,1140,
+07DA001,1,1965/08/17,1190,
+07DA001,1,1965/08/18,1360,
+07DA001,1,1965/08/19,1340,
+07DA001,1,1965/08/20,1230,
+07DA001,1,1965/08/21,1140,
+07DA001,1,1965/08/22,1060,
+07DA001,1,1965/08/23,1030,
+07DA001,1,1965/08/24,1020,
+07DA001,1,1965/08/25,1020,
+07DA001,1,1965/08/26,1030,
+07DA001,1,1965/08/27,1080,
+07DA001,1,1965/08/28,1210,
+07DA001,1,1965/08/29,1270,
+07DA001,1,1965/08/30,1320,
+07DA001,1,1965/08/31,1410,
+07DA001,1,1965/09/01,1530,
+07DA001,1,1965/09/02,1530,
+07DA001,1,1965/09/03,1470,
+07DA001,1,1965/09/04,1400,
+07DA001,1,1965/09/05,1330,
+07DA001,1,1965/09/06,1260,
+07DA001,1,1965/09/07,1250,
+07DA001,1,1965/09/08,1310,
+07DA001,1,1965/09/09,1340,
+07DA001,1,1965/09/10,1310,
+07DA001,1,1965/09/11,1250,
+07DA001,1,1965/09/12,1190,
+07DA001,1,1965/09/13,1150,
+07DA001,1,1965/09/14,1120,
+07DA001,1,1965/09/15,1110,
+07DA001,1,1965/09/16,1100,
+07DA001,1,1965/09/17,1070,
+07DA001,1,1965/09/18,1040,
+07DA001,1,1965/09/19,1020,
+07DA001,1,1965/09/20,1010,
+07DA001,1,1965/09/21,1010,
+07DA001,1,1965/09/22,994,
+07DA001,1,1965/09/23,991,
+07DA001,1,1965/09/24,1020,
+07DA001,1,1965/09/25,1080,
+07DA001,1,1965/09/26,1160,
+07DA001,1,1965/09/27,1240,
+07DA001,1,1965/09/28,1240,
+07DA001,1,1965/09/29,1190,
+07DA001,1,1965/09/30,1150,
+07DA001,1,1965/10/01,1120,
+07DA001,1,1965/10/02,1090,
+07DA001,1,1965/10/03,1060,
+07DA001,1,1965/10/04,1030,
+07DA001,1,1965/10/05,1010,
+07DA001,1,1965/10/06,988,
+07DA001,1,1965/10/07,971,
+07DA001,1,1965/10/08,957,
+07DA001,1,1965/10/09,946,
+07DA001,1,1965/10/10,926,
+07DA001,1,1965/10/11,906,
+07DA001,1,1965/10/12,892,
+07DA001,1,1965/10/13,886,
+07DA001,1,1965/10/14,872,
+07DA001,1,1965/10/15,869,
+07DA001,1,1965/10/16,889,
+07DA001,1,1965/10/17,855,
+07DA001,1,1965/10/18,818,
+07DA001,1,1965/10/19,799,
+07DA001,1,1965/10/20,779,
+07DA001,1,1965/10/21,765,
+07DA001,1,1965/10/22,756,
+07DA001,1,1965/10/23,733,
+07DA001,1,1965/10/24,719,
+07DA001,1,1965/10/25,702,
+07DA001,1,1965/10/26,699,
+07DA001,1,1965/10/27,694,
+07DA001,1,1965/10/28,682,
+07DA001,1,1965/10/29,685,
+07DA001,1,1965/10/30,691,
+07DA001,1,1965/10/31,677,
+07DA001,1,1965/11/01,668,
+07DA001,1,1965/11/02,668,
+07DA001,1,1965/11/03,617,
+07DA001,1,1965/11/04,600,
+07DA001,1,1965/11/05,651,
+07DA001,1,1965/11/06,634,
+07DA001,1,1965/11/07,566,
+07DA001,1,1965/11/08,535,
+07DA001,1,1965/11/09,535,B
+07DA001,1,1965/11/10,541,B
+07DA001,1,1965/11/11,510,B
+07DA001,1,1965/11/12,498,B
+07DA001,1,1965/11/13,442,B
+07DA001,1,1965/11/14,425,B
+07DA001,1,1965/11/15,408,B
+07DA001,1,1965/11/16,405,B
+07DA001,1,1965/11/17,328,B
+07DA001,1,1965/11/18,362,B
+07DA001,1,1965/11/19,320,B
+07DA001,1,1965/11/20,263,B
+07DA001,1,1965/11/21,292,B
+07DA001,1,1965/11/22,292,B
+07DA001,1,1965/11/23,278,B
+07DA001,1,1965/11/24,246,B
+07DA001,1,1965/11/25,262,B
+07DA001,1,1965/11/26,254,B
+07DA001,1,1965/11/27,251,B
+07DA001,1,1965/11/28,254,B
+07DA001,1,1965/11/29,261,B
+07DA001,1,1965/11/30,266,B
+07DA001,1,1965/12/01,268,B
+07DA001,1,1965/12/02,279,B
+07DA001,1,1965/12/03,292,B
+07DA001,1,1965/12/04,300,B
+07DA001,1,1965/12/05,323,B
+07DA001,1,1965/12/06,314,B
+07DA001,1,1965/12/07,306,B
+07DA001,1,1965/12/08,303,B
+07DA001,1,1965/12/09,300,B
+07DA001,1,1965/12/10,300,B
+07DA001,1,1965/12/11,306,B
+07DA001,1,1965/12/12,334,B
+07DA001,1,1965/12/13,328,B
+07DA001,1,1965/12/14,320,B
+07DA001,1,1965/12/15,306,B
+07DA001,1,1965/12/16,311,B
+07DA001,1,1965/12/17,306,B
+07DA001,1,1965/12/18,289,B
+07DA001,1,1965/12/19,280,B
+07DA001,1,1965/12/20,277,B
+07DA001,1,1965/12/21,266,B
+07DA001,1,1965/12/22,255,B
+07DA001,1,1965/12/23,241,B
+07DA001,1,1965/12/24,232,B
+07DA001,1,1965/12/25,215,B
+07DA001,1,1965/12/26,208,B
+07DA001,1,1965/12/27,204,B
+07DA001,1,1965/12/28,197,B
+07DA001,1,1965/12/29,187,B
+07DA001,1,1965/12/30,182,B
+07DA001,1,1965/12/31,186,B
+07DA001,1,1966/01/01,187,B
+07DA001,1,1966/01/02,191,B
+07DA001,1,1966/01/03,179,B
+07DA001,1,1966/01/04,179,B
+07DA001,1,1966/01/05,182,B
+07DA001,1,1966/01/06,185,B
+07DA001,1,1966/01/07,189,B
+07DA001,1,1966/01/08,191,B
+07DA001,1,1966/01/09,200,B
+07DA001,1,1966/01/10,209,B
+07DA001,1,1966/01/11,212,B
+07DA001,1,1966/01/12,218,B
+07DA001,1,1966/01/13,224,B
+07DA001,1,1966/01/14,224,B
+07DA001,1,1966/01/15,226,B
+07DA001,1,1966/01/16,227,B
+07DA001,1,1966/01/17,229,B
+07DA001,1,1966/01/18,229,B
+07DA001,1,1966/01/19,229,B
+07DA001,1,1966/01/20,229,B
+07DA001,1,1966/01/21,229,B
+07DA001,1,1966/01/22,229,B
+07DA001,1,1966/01/23,229,B
+07DA001,1,1966/01/24,229,B
+07DA001,1,1966/01/25,229,B
+07DA001,1,1966/01/26,229,B
+07DA001,1,1966/01/27,229,B
+07DA001,1,1966/01/28,229,B
+07DA001,1,1966/01/29,226,B
+07DA001,1,1966/01/30,226,B
+07DA001,1,1966/01/31,221,B
+07DA001,1,1966/02/01,217,B
+07DA001,1,1966/02/02,214,B
+07DA001,1,1966/02/03,210,B
+07DA001,1,1966/02/04,210,B
+07DA001,1,1966/02/05,210,B
+07DA001,1,1966/02/06,209,B
+07DA001,1,1966/02/07,208,B
+07DA001,1,1966/02/08,208,B
+07DA001,1,1966/02/09,208,B
+07DA001,1,1966/02/10,209,B
+07DA001,1,1966/02/11,212,B
+07DA001,1,1966/02/12,214,B
+07DA001,1,1966/02/13,212,B
+07DA001,1,1966/02/14,211,B
+07DA001,1,1966/02/15,211,B
+07DA001,1,1966/02/16,211,B
+07DA001,1,1966/02/17,211,B
+07DA001,1,1966/02/18,209,B
+07DA001,1,1966/02/19,208,B
+07DA001,1,1966/02/20,208,B
+07DA001,1,1966/02/21,208,B
+07DA001,1,1966/02/22,207,B
+07DA001,1,1966/02/23,206,B
+07DA001,1,1966/02/24,204,B
+07DA001,1,1966/02/25,203,B
+07DA001,1,1966/02/26,201,B
+07DA001,1,1966/02/27,200,B
+07DA001,1,1966/02/28,197,B
+07DA001,1,1966/03/01,197,B
+07DA001,1,1966/03/02,197,B
+07DA001,1,1966/03/03,197,B
+07DA001,1,1966/03/04,200,B
+07DA001,1,1966/03/05,202,B
+07DA001,1,1966/03/06,203,B
+07DA001,1,1966/03/07,207,B
+07DA001,1,1966/03/08,208,B
+07DA001,1,1966/03/09,204,B
+07DA001,1,1966/03/10,202,B
+07DA001,1,1966/03/11,201,B
+07DA001,1,1966/03/12,200,B
+07DA001,1,1966/03/13,200,B
+07DA001,1,1966/03/14,199,B
+07DA001,1,1966/03/15,197,B
+07DA001,1,1966/03/16,197,B
+07DA001,1,1966/03/17,197,B
+07DA001,1,1966/03/18,197,B
+07DA001,1,1966/03/19,199,B
+07DA001,1,1966/03/20,202,B
+07DA001,1,1966/03/21,206,B
+07DA001,1,1966/03/22,207,B
+07DA001,1,1966/03/23,209,B
+07DA001,1,1966/03/24,211,B
+07DA001,1,1966/03/25,211,B
+07DA001,1,1966/03/26,215,B
+07DA001,1,1966/03/27,217,B
+07DA001,1,1966/03/28,218,B
+07DA001,1,1966/03/29,218,B
+07DA001,1,1966/03/30,225,B
+07DA001,1,1966/03/31,247,B
+07DA001,1,1966/04/01,264,B
+07DA001,1,1966/04/02,286,B
+07DA001,1,1966/04/03,303,B
+07DA001,1,1966/04/04,328,B
+07DA001,1,1966/04/05,354,B
+07DA001,1,1966/04/06,368,B
+07DA001,1,1966/04/07,351,B
+07DA001,1,1966/04/08,362,B
+07DA001,1,1966/04/09,402,B
+07DA001,1,1966/04/10,408,B
+07DA001,1,1966/04/11,425,B
+07DA001,1,1966/04/12,425,B
+07DA001,1,1966/04/13,430,B
+07DA001,1,1966/04/14,430,B
+07DA001,1,1966/04/15,425,B
+07DA001,1,1966/04/16,430,B
+07DA001,1,1966/04/17,422,B
+07DA001,1,1966/04/18,402,B
+07DA001,1,1966/04/19,402,B
+07DA001,1,1966/04/20,402,B
+07DA001,1,1966/04/21,385,B
+07DA001,1,1966/04/22,379,B
+07DA001,1,1966/04/23,379,B
+07DA001,1,1966/04/24,408,B
+07DA001,1,1966/04/25,413,B
+07DA001,1,1966/04/26,419,B
+07DA001,1,1966/04/27,408,B
+07DA001,1,1966/04/28,402,B
+07DA001,1,1966/04/29,450,B
+07DA001,1,1966/04/30,416,B
+07DA001,1,1966/05/01,413,B
+07DA001,1,1966/05/02,419,B
+07DA001,1,1966/05/03,507,E
+07DA001,1,1966/05/04,597,E
+07DA001,1,1966/05/05,685,E
+07DA001,1,1966/05/06,776,E
+07DA001,1,1966/05/07,867,E
+07DA001,1,1966/05/08,954,E
+07DA001,1,1966/05/09,1040,E
+07DA001,1,1966/05/10,1140,E
+07DA001,1,1966/05/11,1230,E
+07DA001,1,1966/05/12,1320,
+07DA001,1,1966/05/13,1340,
+07DA001,1,1966/05/14,1500,
+07DA001,1,1966/05/15,1790,
+07DA001,1,1966/05/16,1620,
+07DA001,1,1966/05/17,1460,
+07DA001,1,1966/05/18,1420,
+07DA001,1,1966/05/19,1370,
+07DA001,1,1966/05/20,1270,
+07DA001,1,1966/05/21,1180,
+07DA001,1,1966/05/22,1200,
+07DA001,1,1966/05/23,1370,
+07DA001,1,1966/05/24,1400,
+07DA001,1,1966/05/25,1370,
+07DA001,1,1966/05/26,1400,
+07DA001,1,1966/05/27,1410,
+07DA001,1,1966/05/28,1360,
+07DA001,1,1966/05/29,1290,
+07DA001,1,1966/05/30,1230,
+07DA001,1,1966/05/31,1270,
+07DA001,1,1966/06/01,1560,
+07DA001,1,1966/06/02,1820,
+07DA001,1,1966/06/03,1820,
+07DA001,1,1966/06/04,1800,
+07DA001,1,1966/06/05,1770,
+07DA001,1,1966/06/06,1710,
+07DA001,1,1966/06/07,1640,
+07DA001,1,1966/06/08,1620,
+07DA001,1,1966/06/09,1720,
+07DA001,1,1966/06/10,1720,
+07DA001,1,1966/06/11,1660,
+07DA001,1,1966/06/12,1850,
+07DA001,1,1966/06/13,1570,
+07DA001,1,1966/06/14,1570,
+07DA001,1,1966/06/15,1600,
+07DA001,1,1966/06/16,1620,
+07DA001,1,1966/06/17,1540,
+07DA001,1,1966/06/18,1430,
+07DA001,1,1966/06/19,1340,
+07DA001,1,1966/06/20,1270,
+07DA001,1,1966/06/21,1230,
+07DA001,1,1966/06/22,1230,
+07DA001,1,1966/06/23,1290,
+07DA001,1,1966/06/24,1310,
+07DA001,1,1966/06/25,1270,
+07DA001,1,1966/06/26,1210,
+07DA001,1,1966/06/27,1150,
+07DA001,1,1966/06/28,1080,
+07DA001,1,1966/06/29,1030,
+07DA001,1,1966/06/30,991,
+07DA001,1,1966/07/01,966,
+07DA001,1,1966/07/02,946,
+07DA001,1,1966/07/03,926,
+07DA001,1,1966/07/04,926,
+07DA001,1,1966/07/05,951,
+07DA001,1,1966/07/06,943,
+07DA001,1,1966/07/07,909,
+07DA001,1,1966/07/08,926,
+07DA001,1,1966/07/09,1670,
+07DA001,1,1966/07/10,1720,
+07DA001,1,1966/07/11,1670,
+07DA001,1,1966/07/12,1740,
+07DA001,1,1966/07/13,1630,
+07DA001,1,1966/07/14,1600,
+07DA001,1,1966/07/15,1560,
+07DA001,1,1966/07/16,1490,
+07DA001,1,1966/07/17,1420,
+07DA001,1,1966/07/18,1350,
+07DA001,1,1966/07/19,1320,
+07DA001,1,1966/07/20,1350,
+07DA001,1,1966/07/21,1410,
+07DA001,1,1966/07/22,1440,
+07DA001,1,1966/07/23,1410,
+07DA001,1,1966/07/24,1350,
+07DA001,1,1966/07/25,1300,
+07DA001,1,1966/07/26,1240,
+07DA001,1,1966/07/27,1170,
+07DA001,1,1966/07/28,1110,
+07DA001,1,1966/07/29,1090,
+07DA001,1,1966/07/30,1170,
+07DA001,1,1966/07/31,1270,
+07DA001,1,1966/08/01,1290,
+07DA001,1,1966/08/02,1190,
+07DA001,1,1966/08/03,1140,
+07DA001,1,1966/08/04,1140,
+07DA001,1,1966/08/05,1110,
+07DA001,1,1966/08/06,1050,
+07DA001,1,1966/08/07,994,
+07DA001,1,1966/08/08,974,
+07DA001,1,1966/08/09,1020,
+07DA001,1,1966/08/10,1510,
+07DA001,1,1966/08/11,1600,
+07DA001,1,1966/08/12,1500,
+07DA001,1,1966/08/13,1460,
+07DA001,1,1966/08/14,1400,
+07DA001,1,1966/08/15,1410,
+07DA001,1,1966/08/16,1470,
+07DA001,1,1966/08/17,1440,
+07DA001,1,1966/08/18,1350,
+07DA001,1,1966/08/19,1300,
+07DA001,1,1966/08/20,1250,
+07DA001,1,1966/08/21,1230,
+07DA001,1,1966/08/22,1210,
+07DA001,1,1966/08/23,1170,
+07DA001,1,1966/08/24,1090,
+07DA001,1,1966/08/25,1040,
+07DA001,1,1966/08/26,991,
+07DA001,1,1966/08/27,946,
+07DA001,1,1966/08/28,906,
+07DA001,1,1966/08/29,883,
+07DA001,1,1966/08/30,886,
+07DA001,1,1966/08/31,971,
+07DA001,1,1966/09/01,1500,
+07DA001,1,1966/09/02,2000,
+07DA001,1,1966/09/03,1840,
+07DA001,1,1966/09/04,1660,
+07DA001,1,1966/09/05,1530,
+07DA001,1,1966/09/06,1400,
+07DA001,1,1966/09/07,1310,
+07DA001,1,1966/09/08,1230,
+07DA001,1,1966/09/09,1160,
+07DA001,1,1966/09/10,1100,
+07DA001,1,1966/09/11,1050,
+07DA001,1,1966/09/12,1020,
+07DA001,1,1966/09/13,1010,
+07DA001,1,1966/09/14,974,
+07DA001,1,1966/09/15,929,
+07DA001,1,1966/09/16,892,
+07DA001,1,1966/09/17,878,
+07DA001,1,1966/09/18,872,
+07DA001,1,1966/09/19,838,
+07DA001,1,1966/09/20,801,
+07DA001,1,1966/09/21,767,
+07DA001,1,1966/09/22,748,
+07DA001,1,1966/09/23,725,
+07DA001,1,1966/09/24,708,
+07DA001,1,1966/09/25,708,
+07DA001,1,1966/09/26,708,
+07DA001,1,1966/09/27,680,
+07DA001,1,1966/09/28,657,
+07DA001,1,1966/09/29,640,
+07DA001,1,1966/09/30,648,
+07DA001,1,1966/10/01,680,
+07DA001,1,1966/10/02,682,
+07DA001,1,1966/10/03,660,
+07DA001,1,1966/10/04,643,
+07DA001,1,1966/10/05,643,
+07DA001,1,1966/10/06,663,
+07DA001,1,1966/10/07,648,
+07DA001,1,1966/10/08,648,
+07DA001,1,1966/10/09,668,
+07DA001,1,1966/10/10,654,
+07DA001,1,1966/10/11,634,
+07DA001,1,1966/10/12,626,
+07DA001,1,1966/10/13,623,
+07DA001,1,1966/10/14,623,
+07DA001,1,1966/10/15,614,
+07DA001,1,1966/10/16,592,
+07DA001,1,1966/10/17,572,
+07DA001,1,1966/10/18,549,
+07DA001,1,1966/10/19,538,
+07DA001,1,1966/10/20,530,
+07DA001,1,1966/10/21,524,
+07DA001,1,1966/10/22,504,
+07DA001,1,1966/10/23,481,
+07DA001,1,1966/10/24,481,
+07DA001,1,1966/10/25,479,
+07DA001,1,1966/10/26,462,
+07DA001,1,1966/10/27,462,
+07DA001,1,1966/10/28,462,
+07DA001,1,1966/10/29,442,
+07DA001,1,1966/10/30,470,
+07DA001,1,1966/10/31,487,
+07DA001,1,1966/11/01,464,
+07DA001,1,1966/11/02,464,
+07DA001,1,1966/11/03,496,
+07DA001,1,1966/11/04,496,
+07DA001,1,1966/11/05,467,B
+07DA001,1,1966/11/06,467,B
+07DA001,1,1966/11/07,459,B
+07DA001,1,1966/11/08,442,B
+07DA001,1,1966/11/09,425,B
+07DA001,1,1966/11/10,411,B
+07DA001,1,1966/11/11,394,B
+07DA001,1,1966/11/12,377,B
+07DA001,1,1966/11/13,357,B
+07DA001,1,1966/11/14,343,B
+07DA001,1,1966/11/15,326,B
+07DA001,1,1966/11/16,309,B
+07DA001,1,1966/11/17,292,B
+07DA001,1,1966/11/18,272,B
+07DA001,1,1966/11/19,255,B
+07DA001,1,1966/11/20,241,B
+07DA001,1,1966/11/21,249,B
+07DA001,1,1966/11/22,269,B
+07DA001,1,1966/11/23,272,B
+07DA001,1,1966/11/24,275,B
+07DA001,1,1966/11/25,275,B
+07DA001,1,1966/11/26,275,B
+07DA001,1,1966/11/27,278,B
+07DA001,1,1966/11/28,278,B
+07DA001,1,1966/11/29,278,B
+07DA001,1,1966/11/30,278,B
+07DA001,1,1966/12/01,280,B
+07DA001,1,1966/12/02,283,B
+07DA001,1,1966/12/03,278,B
+07DA001,1,1966/12/04,275,B
+07DA001,1,1966/12/05,272,B
+07DA001,1,1966/12/06,266,B
+07DA001,1,1966/12/07,261,B
+07DA001,1,1966/12/08,255,B
+07DA001,1,1966/12/09,246,B
+07DA001,1,1966/12/10,241,B
+07DA001,1,1966/12/11,238,B
+07DA001,1,1966/12/12,229,B
+07DA001,1,1966/12/13,221,B
+07DA001,1,1966/12/14,218,B
+07DA001,1,1966/12/15,224,B
+07DA001,1,1966/12/16,241,B
+07DA001,1,1966/12/17,244,B
+07DA001,1,1966/12/18,244,B
+07DA001,1,1966/12/19,244,B
+07DA001,1,1966/12/20,241,B
+07DA001,1,1966/12/21,241,B
+07DA001,1,1966/12/22,241,B
+07DA001,1,1966/12/23,241,B
+07DA001,1,1966/12/24,241,B
+07DA001,1,1966/12/25,241,B
+07DA001,1,1966/12/26,241,B
+07DA001,1,1966/12/27,241,B
+07DA001,1,1966/12/28,241,B
+07DA001,1,1966/12/29,241,B
+07DA001,1,1966/12/30,241,B
+07DA001,1,1966/12/31,238,B
+07DA001,1,1967/01/01,238,B
+07DA001,1,1967/01/02,235,B
+07DA001,1,1967/01/03,232,B
+07DA001,1,1967/01/04,229,B
+07DA001,1,1967/01/05,224,B
+07DA001,1,1967/01/06,218,B
+07DA001,1,1967/01/07,218,B
+07DA001,1,1967/01/08,218,B
+07DA001,1,1967/01/09,218,B
+07DA001,1,1967/01/10,218,B
+07DA001,1,1967/01/11,218,B
+07DA001,1,1967/01/12,218,B
+07DA001,1,1967/01/13,218,B
+07DA001,1,1967/01/14,218,B
+07DA001,1,1967/01/15,215,B
+07DA001,1,1967/01/16,215,B
+07DA001,1,1967/01/17,215,B
+07DA001,1,1967/01/18,215,B
+07DA001,1,1967/01/19,212,B
+07DA001,1,1967/01/20,212,B
+07DA001,1,1967/01/21,212,B
+07DA001,1,1967/01/22,210,B
+07DA001,1,1967/01/23,210,B
+07DA001,1,1967/01/24,210,B
+07DA001,1,1967/01/25,207,B
+07DA001,1,1967/01/26,207,B
+07DA001,1,1967/01/27,207,B
+07DA001,1,1967/01/28,207,B
+07DA001,1,1967/01/29,207,B
+07DA001,1,1967/01/30,204,B
+07DA001,1,1967/01/31,204,B
+07DA001,1,1967/02/01,201,B
+07DA001,1,1967/02/02,201,B
+07DA001,1,1967/02/03,198,B
+07DA001,1,1967/02/04,198,B
+07DA001,1,1967/02/05,198,B
+07DA001,1,1967/02/06,195,B
+07DA001,1,1967/02/07,195,B
+07DA001,1,1967/02/08,193,B
+07DA001,1,1967/02/09,193,B
+07DA001,1,1967/02/10,190,B
+07DA001,1,1967/02/11,190,B
+07DA001,1,1967/02/12,190,B
+07DA001,1,1967/02/13,187,B
+07DA001,1,1967/02/14,187,B
+07DA001,1,1967/02/15,187,B
+07DA001,1,1967/02/16,187,B
+07DA001,1,1967/02/17,184,B
+07DA001,1,1967/02/18,184,B
+07DA001,1,1967/02/19,184,B
+07DA001,1,1967/02/20,184,B
+07DA001,1,1967/02/21,181,B
+07DA001,1,1967/02/22,181,B
+07DA001,1,1967/02/23,181,B
+07DA001,1,1967/02/24,178,B
+07DA001,1,1967/02/25,178,B
+07DA001,1,1967/02/26,178,B
+07DA001,1,1967/02/27,176,B
+07DA001,1,1967/02/28,176,B
+07DA001,1,1967/03/01,176,B
+07DA001,1,1967/03/02,173,B
+07DA001,1,1967/03/03,173,B
+07DA001,1,1967/03/04,170,B
+07DA001,1,1967/03/05,170,B
+07DA001,1,1967/03/06,170,B
+07DA001,1,1967/03/07,170,B
+07DA001,1,1967/03/08,170,
+07DA001,1,1967/03/09,167,
+07DA001,1,1967/03/10,161,
+07DA001,1,1967/03/11,159,
+07DA001,1,1967/03/12,159,
+07DA001,1,1967/03/13,156,
+07DA001,1,1967/03/14,156,
+07DA001,1,1967/03/15,153,
+07DA001,1,1967/03/16,153,
+07DA001,1,1967/03/17,153,
+07DA001,1,1967/03/18,150,
+07DA001,1,1967/03/19,150,
+07DA001,1,1967/03/20,147,
+07DA001,1,1967/03/21,147,
+07DA001,1,1967/03/22,147,
+07DA001,1,1967/03/23,144,
+07DA001,1,1967/03/24,142,
+07DA001,1,1967/03/25,142,
+07DA001,1,1967/03/26,142,
+07DA001,1,1967/03/27,142,
+07DA001,1,1967/03/28,144,
+07DA001,1,1967/03/29,147,
+07DA001,1,1967/03/30,150,
+07DA001,1,1967/03/31,150,
+07DA001,1,1967/04/01,150,
+07DA001,1,1967/04/02,153,
+07DA001,1,1967/04/03,153,
+07DA001,1,1967/04/04,153,
+07DA001,1,1967/04/05,156,
+07DA001,1,1967/04/06,156,
+07DA001,1,1967/04/07,159,
+07DA001,1,1967/04/08,159,
+07DA001,1,1967/04/09,161,
+07DA001,1,1967/04/10,161,
+07DA001,1,1967/04/11,170,
+07DA001,1,1967/04/12,187,
+07DA001,1,1967/04/13,210,
+07DA001,1,1967/04/14,232,
+07DA001,1,1967/04/15,252,
+07DA001,1,1967/04/16,275,
+07DA001,1,1967/04/17,297,
+07DA001,1,1967/04/18,320,
+07DA001,1,1967/04/19,343,
+07DA001,1,1967/04/20,360,
+07DA001,1,1967/04/21,382,
+07DA001,1,1967/04/22,408,
+07DA001,1,1967/04/23,433,
+07DA001,1,1967/04/24,462,
+07DA001,1,1967/04/25,487,
+07DA001,1,1967/04/26,510,
+07DA001,1,1967/04/27,538,
+07DA001,1,1967/04/28,595,
+07DA001,1,1967/04/29,688,
+07DA001,1,1967/04/30,892,
+07DA001,1,1967/05/01,1340,
+07DA001,1,1967/05/02,1390,
+07DA001,1,1967/05/03,1420,
+07DA001,1,1967/05/04,1410,
+07DA001,1,1967/05/05,1370,
+07DA001,1,1967/05/06,1330,
+07DA001,1,1967/05/07,1310,
+07DA001,1,1967/05/08,1310,E
+07DA001,1,1967/05/09,1340,E
+07DA001,1,1967/05/10,1370,E
+07DA001,1,1967/05/11,1380,E
+07DA001,1,1967/05/12,1380,
+07DA001,1,1967/05/13,1370,E
+07DA001,1,1967/05/14,1360,E
+07DA001,1,1967/05/15,1330,
+07DA001,1,1967/05/16,1290,
+07DA001,1,1967/05/17,1270,
+07DA001,1,1967/05/18,1270,
+07DA001,1,1967/05/19,1280,
+07DA001,1,1967/05/20,1340,
+07DA001,1,1967/05/21,1390,
+07DA001,1,1967/05/22,1420,
+07DA001,1,1967/05/23,1420,
+07DA001,1,1967/05/24,1400,
+07DA001,1,1967/05/25,1370,
+07DA001,1,1967/05/26,1360,
+07DA001,1,1967/05/27,1360,
+07DA001,1,1967/05/28,1390,
+07DA001,1,1967/05/29,1370,
+07DA001,1,1967/05/30,1350,
+07DA001,1,1967/05/31,1290,
+07DA001,1,1967/06/01,1230,
+07DA001,1,1967/06/02,1170,
+07DA001,1,1967/06/03,1160,
+07DA001,1,1967/06/04,1200,
+07DA001,1,1967/06/05,1380,
+07DA001,1,1967/06/06,1430,
+07DA001,1,1967/06/07,1470,
+07DA001,1,1967/06/08,1530,
+07DA001,1,1967/06/09,1480,
+07DA001,1,1967/06/10,1380,
+07DA001,1,1967/06/11,1310,
+07DA001,1,1967/06/12,1330,
+07DA001,1,1967/06/13,1480,
+07DA001,1,1967/06/14,1720,
+07DA001,1,1967/06/15,1670,
+07DA001,1,1967/06/16,1540,
+07DA001,1,1967/06/17,1420,
+07DA001,1,1967/06/18,1370,
+07DA001,1,1967/06/19,1350,
+07DA001,1,1967/06/20,1370,
+07DA001,1,1967/06/21,1540,
+07DA001,1,1967/06/22,1790,
+07DA001,1,1967/06/23,1800,
+07DA001,1,1967/06/24,1690,
+07DA001,1,1967/06/25,1600,
+07DA001,1,1967/06/26,1580,
+07DA001,1,1967/06/27,1550,
+07DA001,1,1967/06/28,1470,
+07DA001,1,1967/06/29,1380,
+07DA001,1,1967/06/30,1330,
+07DA001,1,1967/07/01,1310,
+07DA001,1,1967/07/02,1330,
+07DA001,1,1967/07/03,1350,
+07DA001,1,1967/07/04,1350,
+07DA001,1,1967/07/05,1310,
+07DA001,1,1967/07/06,1200,
+07DA001,1,1967/07/07,1110,
+07DA001,1,1967/07/08,1050,
+07DA001,1,1967/07/09,1050,
+07DA001,1,1967/07/10,1140,
+07DA001,1,1967/07/11,1180,
+07DA001,1,1967/07/12,1140,
+07DA001,1,1967/07/13,1090,
+07DA001,1,1967/07/14,1060,
+07DA001,1,1967/07/15,1030,
+07DA001,1,1967/07/16,1000,
+07DA001,1,1967/07/17,960,
+07DA001,1,1967/07/18,960,
+07DA001,1,1967/07/19,1030,
+07DA001,1,1967/07/20,1090,
+07DA001,1,1967/07/21,1060,
+07DA001,1,1967/07/22,1030,
+07DA001,1,1967/07/23,1020,
+07DA001,1,1967/07/24,1010,
+07DA001,1,1967/07/25,966,
+07DA001,1,1967/07/26,926,
+07DA001,1,1967/07/27,920,
+07DA001,1,1967/07/28,920,
+07DA001,1,1967/07/29,912,
+07DA001,1,1967/07/30,929,
+07DA001,1,1967/07/31,991,
+07DA001,1,1967/08/01,1020,
+07DA001,1,1967/08/02,1030,
+07DA001,1,1967/08/03,1060,
+07DA001,1,1967/08/04,1070,
+07DA001,1,1967/08/05,1040,
+07DA001,1,1967/08/06,1010,
+07DA001,1,1967/08/07,977,
+07DA001,1,1967/08/08,915,
+07DA001,1,1967/08/09,869,
+07DA001,1,1967/08/10,847,
+07DA001,1,1967/08/11,855,
+07DA001,1,1967/08/12,878,
+07DA001,1,1967/08/13,898,
+07DA001,1,1967/08/14,895,
+07DA001,1,1967/08/15,872,
+07DA001,1,1967/08/16,844,
+07DA001,1,1967/08/17,833,
+07DA001,1,1967/08/18,838,
+07DA001,1,1967/08/19,827,
+07DA001,1,1967/08/20,818,
+07DA001,1,1967/08/21,816,
+07DA001,1,1967/08/22,801,
+07DA001,1,1967/08/23,773,
+07DA001,1,1967/08/24,765,
+07DA001,1,1967/08/25,770,
+07DA001,1,1967/08/26,767,
+07DA001,1,1967/08/27,759,
+07DA001,1,1967/08/28,739,
+07DA001,1,1967/08/29,714,
+07DA001,1,1967/08/30,682,
+07DA001,1,1967/08/31,651,
+07DA001,1,1967/09/01,614,
+07DA001,1,1967/09/02,578,
+07DA001,1,1967/09/03,555,
+07DA001,1,1967/09/04,555,
+07DA001,1,1967/09/05,558,
+07DA001,1,1967/09/06,583,
+07DA001,1,1967/09/07,595,
+07DA001,1,1967/09/08,597,
+07DA001,1,1967/09/09,629,
+07DA001,1,1967/09/10,623,
+07DA001,1,1967/09/11,603,
+07DA001,1,1967/09/12,597,
+07DA001,1,1967/09/13,609,
+07DA001,1,1967/09/14,600,
+07DA001,1,1967/09/15,561,
+07DA001,1,1967/09/16,535,
+07DA001,1,1967/09/17,515,
+07DA001,1,1967/09/18,501,
+07DA001,1,1967/09/19,496,
+07DA001,1,1967/09/20,464,
+07DA001,1,1967/09/21,442,
+07DA001,1,1967/09/22,436,
+07DA001,1,1967/09/23,430,
+07DA001,1,1967/09/24,442,
+07DA001,1,1967/09/25,453,
+07DA001,1,1967/09/26,453,
+07DA001,1,1967/09/27,464,
+07DA001,1,1967/09/28,470,
+07DA001,1,1967/09/29,481,
+07DA001,1,1967/09/30,496,
+07DA001,1,1967/10/01,459,
+07DA001,1,1967/10/02,442,
+07DA001,1,1967/10/03,442,
+07DA001,1,1967/10/04,425,
+07DA001,1,1967/10/05,408,
+07DA001,1,1967/10/06,413,
+07DA001,1,1967/10/07,422,
+07DA001,1,1967/10/08,425,
+07DA001,1,1967/10/09,411,
+07DA001,1,1967/10/10,396,
+07DA001,1,1967/10/11,388,
+07DA001,1,1967/10/12,379,
+07DA001,1,1967/10/13,368,
+07DA001,1,1967/10/14,362,
+07DA001,1,1967/10/15,351,
+07DA001,1,1967/10/16,345,
+07DA001,1,1967/10/17,340,
+07DA001,1,1967/10/18,345,
+07DA001,1,1967/10/19,365,
+07DA001,1,1967/10/20,385,
+07DA001,1,1967/10/21,374,
+07DA001,1,1967/10/22,357,
+07DA001,1,1967/10/23,345,
+07DA001,1,1967/10/24,334,
+07DA001,1,1967/10/25,328,
+07DA001,1,1967/10/26,326,
+07DA001,1,1967/10/27,320,
+07DA001,1,1967/10/28,320,
+07DA001,1,1967/10/29,317,
+07DA001,1,1967/10/30,306,
+07DA001,1,1967/10/31,309,
+07DA001,1,1967/11/01,309,B
+07DA001,1,1967/11/02,294,B
+07DA001,1,1967/11/03,289,B
+07DA001,1,1967/11/04,264,B
+07DA001,1,1967/11/05,266,B
+07DA001,1,1967/11/06,266,B
+07DA001,1,1967/11/07,272,B
+07DA001,1,1967/11/08,275,B
+07DA001,1,1967/11/09,278,B
+07DA001,1,1967/11/10,283,B
+07DA001,1,1967/11/11,263,B
+07DA001,1,1967/11/12,260,B
+07DA001,1,1967/11/13,258,B
+07DA001,1,1967/11/14,254,B
+07DA001,1,1967/11/15,261,B
+07DA001,1,1967/11/16,266,B
+07DA001,1,1967/11/17,269,B
+07DA001,1,1967/11/18,253,B
+07DA001,1,1967/11/19,245,B
+07DA001,1,1967/11/20,229,B
+07DA001,1,1967/11/21,220,B
+07DA001,1,1967/11/22,224,B
+07DA001,1,1967/11/23,234,B
+07DA001,1,1967/11/24,227,B
+07DA001,1,1967/11/25,206,B
+07DA001,1,1967/11/26,182,B
+07DA001,1,1967/11/27,173,B
+07DA001,1,1967/11/28,170,B
+07DA001,1,1967/11/29,184,B
+07DA001,1,1967/11/30,181,B
+07DA001,1,1967/12/01,167,B
+07DA001,1,1967/12/02,150,B
+07DA001,1,1967/12/03,133,B
+07DA001,1,1967/12/04,127,B
+07DA001,1,1967/12/05,133,B
+07DA001,1,1967/12/06,148,B
+07DA001,1,1967/12/07,155,B
+07DA001,1,1967/12/08,153,B
+07DA001,1,1967/12/09,148,B
+07DA001,1,1967/12/10,146,B
+07DA001,1,1967/12/11,144,B
+07DA001,1,1967/12/12,141,B
+07DA001,1,1967/12/13,137,B
+07DA001,1,1967/12/14,134,B
+07DA001,1,1967/12/15,129,B
+07DA001,1,1967/12/16,121,B
+07DA001,1,1967/12/17,126,B
+07DA001,1,1967/12/18,132,B
+07DA001,1,1967/12/19,135,B
+07DA001,1,1967/12/20,136,B
+07DA001,1,1967/12/21,134,B
+07DA001,1,1967/12/22,132,B
+07DA001,1,1967/12/23,131,B
+07DA001,1,1967/12/24,129,B
+07DA001,1,1967/12/25,127,B
+07DA001,1,1967/12/26,125,B
+07DA001,1,1967/12/27,124,B
+07DA001,1,1967/12/28,122,B
+07DA001,1,1967/12/29,120,B
+07DA001,1,1967/12/30,119,B
+07DA001,1,1967/12/31,118,B
+07DA001,1,1968/01/01,115,B
+07DA001,1,1968/01/02,114,B
+07DA001,1,1968/01/03,112,B
+07DA001,1,1968/01/04,110,B
+07DA001,1,1968/01/05,108,B
+07DA001,1,1968/01/06,109,B
+07DA001,1,1968/01/07,111,B
+07DA001,1,1968/01/08,114,B
+07DA001,1,1968/01/09,115,B
+07DA001,1,1968/01/10,119,B
+07DA001,1,1968/01/11,121,B
+07DA001,1,1968/01/12,123,B
+07DA001,1,1968/01/13,123,B
+07DA001,1,1968/01/14,123,B
+07DA001,1,1968/01/15,124,B
+07DA001,1,1968/01/16,120,B
+07DA001,1,1968/01/17,117,B
+07DA001,1,1968/01/18,117,B
+07DA001,1,1968/01/19,117,B
+07DA001,1,1968/01/20,115,B
+07DA001,1,1968/01/21,116,B
+07DA001,1,1968/01/22,115,B
+07DA001,1,1968/01/23,114,B
+07DA001,1,1968/01/24,114,B
+07DA001,1,1968/01/25,118,B
+07DA001,1,1968/01/26,115,B
+07DA001,1,1968/01/27,115,B
+07DA001,1,1968/01/28,115,B
+07DA001,1,1968/01/29,114,B
+07DA001,1,1968/01/30,114,B
+07DA001,1,1968/01/31,114,B
+07DA001,1,1968/02/01,114,B
+07DA001,1,1968/02/02,114,B
+07DA001,1,1968/02/03,114,B
+07DA001,1,1968/02/04,114,B
+07DA001,1,1968/02/05,113,B
+07DA001,1,1968/02/06,113,B
+07DA001,1,1968/02/07,113,B
+07DA001,1,1968/02/08,112,B
+07DA001,1,1968/02/09,112,B
+07DA001,1,1968/02/10,112,B
+07DA001,1,1968/02/11,112,B
+07DA001,1,1968/02/12,114,B
+07DA001,1,1968/02/13,117,B
+07DA001,1,1968/02/14,119,B
+07DA001,1,1968/02/15,121,B
+07DA001,1,1968/02/16,123,B
+07DA001,1,1968/02/17,125,B
+07DA001,1,1968/02/18,127,B
+07DA001,1,1968/02/19,127,B
+07DA001,1,1968/02/20,125,B
+07DA001,1,1968/02/21,128,B
+07DA001,1,1968/02/22,129,B
+07DA001,1,1968/02/23,130,B
+07DA001,1,1968/02/24,131,B
+07DA001,1,1968/02/25,131,B
+07DA001,1,1968/02/26,132,B
+07DA001,1,1968/02/27,133,B
+07DA001,1,1968/02/28,133,B
+07DA001,1,1968/02/29,134,B
+07DA001,1,1968/03/01,134,B
+07DA001,1,1968/03/02,134,B
+07DA001,1,1968/03/03,135,B
+07DA001,1,1968/03/04,136,B
+07DA001,1,1968/03/05,139,B
+07DA001,1,1968/03/06,142,B
+07DA001,1,1968/03/07,144,B
+07DA001,1,1968/03/08,146,B
+07DA001,1,1968/03/09,147,B
+07DA001,1,1968/03/10,148,B
+07DA001,1,1968/03/11,148,B
+07DA001,1,1968/03/12,152,B
+07DA001,1,1968/03/13,154,B
+07DA001,1,1968/03/14,153,B
+07DA001,1,1968/03/15,151,B
+07DA001,1,1968/03/16,153,B
+07DA001,1,1968/03/17,159,B
+07DA001,1,1968/03/18,159,B
+07DA001,1,1968/03/19,159,B
+07DA001,1,1968/03/20,161,B
+07DA001,1,1968/03/21,164,B
+07DA001,1,1968/03/22,167,B
+07DA001,1,1968/03/23,170,B
+07DA001,1,1968/03/24,176,B
+07DA001,1,1968/03/25,182,B
+07DA001,1,1968/03/26,187,B
+07DA001,1,1968/03/27,193,B
+07DA001,1,1968/03/28,198,B
+07DA001,1,1968/03/29,201,B
+07DA001,1,1968/03/30,204,B
+07DA001,1,1968/03/31,207,B
+07DA001,1,1968/04/01,209,B
+07DA001,1,1968/04/02,212,B
+07DA001,1,1968/04/03,216,B
+07DA001,1,1968/04/04,223,B
+07DA001,1,1968/04/05,226,B
+07DA001,1,1968/04/06,229,B
+07DA001,1,1968/04/07,231,B
+07DA001,1,1968/04/08,232,B
+07DA001,1,1968/04/09,237,B
+07DA001,1,1968/04/10,244,B
+07DA001,1,1968/04/11,251,B
+07DA001,1,1968/04/12,257,B
+07DA001,1,1968/04/13,263,B
+07DA001,1,1968/04/14,269,B
+07DA001,1,1968/04/15,276,B
+07DA001,1,1968/04/16,283,B
+07DA001,1,1968/04/17,289,B
+07DA001,1,1968/04/18,306,B
+07DA001,1,1968/04/19,303,B
+07DA001,1,1968/04/20,309,B
+07DA001,1,1968/04/21,314,B
+07DA001,1,1968/04/22,320,B
+07DA001,1,1968/04/23,326,B
+07DA001,1,1968/04/24,334,B
+07DA001,1,1968/04/25,343,B
+07DA001,1,1968/04/26,354,B
+07DA001,1,1968/04/27,365,B
+07DA001,1,1968/04/28,377,B
+07DA001,1,1968/04/29,368,
+07DA001,1,1968/04/30,371,
+07DA001,1,1968/05/01,394,
+07DA001,1,1968/05/02,430,
+07DA001,1,1968/05/03,447,
+07DA001,1,1968/05/04,479,
+07DA001,1,1968/05/05,530,
+07DA001,1,1968/05/06,572,
+07DA001,1,1968/05/07,606,
+07DA001,1,1968/05/08,620,
+07DA001,1,1968/05/09,597,
+07DA001,1,1968/05/10,578,
+07DA001,1,1968/05/11,583,
+07DA001,1,1968/05/12,580,
+07DA001,1,1968/05/13,566,
+07DA001,1,1968/05/14,555,
+07DA001,1,1968/05/15,547,
+07DA001,1,1968/05/16,538,
+07DA001,1,1968/05/17,538,
+07DA001,1,1968/05/18,532,
+07DA001,1,1968/05/19,530,
+07DA001,1,1968/05/20,515,
+07DA001,1,1968/05/21,496,
+07DA001,1,1968/05/22,479,
+07DA001,1,1968/05/23,459,
+07DA001,1,1968/05/24,453,
+07DA001,1,1968/05/25,473,
+07DA001,1,1968/05/26,541,
+07DA001,1,1968/05/27,631,
+07DA001,1,1968/05/28,691,
+07DA001,1,1968/05/29,728,
+07DA001,1,1968/05/30,646,
+07DA001,1,1968/05/31,753,
+07DA001,1,1968/06/01,818,
+07DA001,1,1968/06/02,847,
+07DA001,1,1968/06/03,872,
+07DA001,1,1968/06/04,883,
+07DA001,1,1968/06/05,864,
+07DA001,1,1968/06/06,833,
+07DA001,1,1968/06/07,787,
+07DA001,1,1968/06/08,787,
+07DA001,1,1968/06/09,867,
+07DA001,1,1968/06/10,864,
+07DA001,1,1968/06/11,813,
+07DA001,1,1968/06/12,813,
+07DA001,1,1968/06/13,869,
+07DA001,1,1968/06/14,991,
+07DA001,1,1968/06/15,1170,
+07DA001,1,1968/06/16,1420,
+07DA001,1,1968/06/17,1480,
+07DA001,1,1968/06/18,1380,
+07DA001,1,1968/06/19,1250,
+07DA001,1,1968/06/20,1110,
+07DA001,1,1968/06/21,1010,
+07DA001,1,1968/06/22,949,
+07DA001,1,1968/06/23,903,
+07DA001,1,1968/06/24,881,
+07DA001,1,1968/06/25,912,
+07DA001,1,1968/06/26,960,
+07DA001,1,1968/06/27,932,
+07DA001,1,1968/06/28,881,
+07DA001,1,1968/06/29,881,
+07DA001,1,1968/06/30,923,
+07DA001,1,1968/07/01,991,
+07DA001,1,1968/07/02,1310,
+07DA001,1,1968/07/03,1460,
+07DA001,1,1968/07/04,1340,
+07DA001,1,1968/07/05,1200,
+07DA001,1,1968/07/06,1110,
+07DA001,1,1968/07/07,1030,
+07DA001,1,1968/07/08,1010,
+07DA001,1,1968/07/09,1100,
+07DA001,1,1968/07/10,1230,
+07DA001,1,1968/07/11,1310,
+07DA001,1,1968/07/12,1330,
+07DA001,1,1968/07/13,1270,
+07DA001,1,1968/07/14,1230,
+07DA001,1,1968/07/15,1240,
+07DA001,1,1968/07/16,1240,
+07DA001,1,1968/07/17,1210,
+07DA001,1,1968/07/18,1220,
+07DA001,1,1968/07/19,1140,
+07DA001,1,1968/07/20,1020,
+07DA001,1,1968/07/21,929,
+07DA001,1,1968/07/22,867,
+07DA001,1,1968/07/23,813,
+07DA001,1,1968/07/24,776,
+07DA001,1,1968/07/25,773,
+07DA001,1,1968/07/26,833,
+07DA001,1,1968/07/27,932,
+07DA001,1,1968/07/28,966,
+07DA001,1,1968/07/29,977,
+07DA001,1,1968/07/30,946,
+07DA001,1,1968/07/31,937,
+07DA001,1,1968/08/01,943,
+07DA001,1,1968/08/02,946,
+07DA001,1,1968/08/03,988,
+07DA001,1,1968/08/04,1060,
+07DA001,1,1968/08/05,1040,
+07DA001,1,1968/08/06,954,
+07DA001,1,1968/08/07,898,
+07DA001,1,1968/08/08,906,
+07DA001,1,1968/08/09,923,
+07DA001,1,1968/08/10,985,
+07DA001,1,1968/08/11,1140,
+07DA001,1,1968/08/12,1140,
+07DA001,1,1968/08/13,1050,
+07DA001,1,1968/08/14,980,
+07DA001,1,1968/08/15,917,
+07DA001,1,1968/08/16,867,
+07DA001,1,1968/08/17,852,
+07DA001,1,1968/08/18,872,
+07DA001,1,1968/08/19,841,
+07DA001,1,1968/08/20,787,
+07DA001,1,1968/08/21,756,
+07DA001,1,1968/08/22,748,
+07DA001,1,1968/08/23,745,
+07DA001,1,1968/08/24,750,
+07DA001,1,1968/08/25,776,
+07DA001,1,1968/08/26,773,
+07DA001,1,1968/08/27,793,
+07DA001,1,1968/08/28,776,
+07DA001,1,1968/08/29,739,
+07DA001,1,1968/08/30,711,
+07DA001,1,1968/08/31,688,
+07DA001,1,1968/09/01,691,
+07DA001,1,1968/09/02,705,
+07DA001,1,1968/09/03,691,
+07DA001,1,1968/09/04,657,
+07DA001,1,1968/09/05,634,
+07DA001,1,1968/09/06,631,E
+07DA001,1,1968/09/07,629,E
+07DA001,1,1968/09/08,626,E
+07DA001,1,1968/09/09,623,E
+07DA001,1,1968/09/10,623,A
+07DA001,1,1968/09/11,609,
+07DA001,1,1968/09/12,603,
+07DA001,1,1968/09/13,640,
+07DA001,1,1968/09/14,685,
+07DA001,1,1968/09/15,660,
+07DA001,1,1968/09/16,640,
+07DA001,1,1968/09/17,637,
+07DA001,1,1968/09/18,665,
+07DA001,1,1968/09/19,691,
+07DA001,1,1968/09/20,668,
+07DA001,1,1968/09/21,640,
+07DA001,1,1968/09/22,640,
+07DA001,1,1968/09/23,657,
+07DA001,1,1968/09/24,668,
+07DA001,1,1968/09/25,685,
+07DA001,1,1968/09/26,685,
+07DA001,1,1968/09/27,677,
+07DA001,1,1968/09/28,668,
+07DA001,1,1968/09/29,657,
+07DA001,1,1968/09/30,646,
+07DA001,1,1968/10/01,629,
+07DA001,1,1968/10/02,614,
+07DA001,1,1968/10/03,597,
+07DA001,1,1968/10/04,592,
+07DA001,1,1968/10/05,595,
+07DA001,1,1968/10/06,586,
+07DA001,1,1968/10/07,566,
+07DA001,1,1968/10/08,547,
+07DA001,1,1968/10/09,538,
+07DA001,1,1968/10/10,530,
+07DA001,1,1968/10/11,521,
+07DA001,1,1968/10/12,515,
+07DA001,1,1968/10/13,513,
+07DA001,1,1968/10/14,504,
+07DA001,1,1968/10/15,507,
+07DA001,1,1968/10/16,507,
+07DA001,1,1968/10/17,501,
+07DA001,1,1968/10/18,504,
+07DA001,1,1968/10/19,498,
+07DA001,1,1968/10/20,496,
+07DA001,1,1968/10/21,487,
+07DA001,1,1968/10/22,479,
+07DA001,1,1968/10/23,473,
+07DA001,1,1968/10/24,467,
+07DA001,1,1968/10/25,456,
+07DA001,1,1968/10/26,456,
+07DA001,1,1968/10/27,453,
+07DA001,1,1968/10/28,447,
+07DA001,1,1968/10/29,447,
+07DA001,1,1968/10/30,439,
+07DA001,1,1968/10/31,439,
+07DA001,1,1968/11/01,425,B
+07DA001,1,1968/11/02,416,B
+07DA001,1,1968/11/03,413,B
+07DA001,1,1968/11/04,411,B
+07DA001,1,1968/11/05,408,B
+07DA001,1,1968/11/06,396,B
+07DA001,1,1968/11/07,394,B
+07DA001,1,1968/11/08,377,B
+07DA001,1,1968/11/09,351,B
+07DA001,1,1968/11/10,340,B
+07DA001,1,1968/11/11,328,B
+07DA001,1,1968/11/12,317,B
+07DA001,1,1968/11/13,309,B
+07DA001,1,1968/11/14,306,B
+07DA001,1,1968/11/15,297,B
+07DA001,1,1968/11/16,294,B
+07DA001,1,1968/11/17,283,B
+07DA001,1,1968/11/18,281,B
+07DA001,1,1968/11/19,272,B
+07DA001,1,1968/11/20,268,B
+07DA001,1,1968/11/21,266,B
+07DA001,1,1968/11/22,257,B
+07DA001,1,1968/11/23,254,B
+07DA001,1,1968/11/24,243,B
+07DA001,1,1968/11/25,241,B
+07DA001,1,1968/11/26,232,B
+07DA001,1,1968/11/27,226,B
+07DA001,1,1968/11/28,220,B
+07DA001,1,1968/11/29,215,B
+07DA001,1,1968/11/30,212,B
+07DA001,1,1968/12/01,207,B
+07DA001,1,1968/12/02,206,B
+07DA001,1,1968/12/03,193,B
+07DA001,1,1968/12/04,193,B
+07DA001,1,1968/12/05,182,B
+07DA001,1,1968/12/06,176,B
+07DA001,1,1968/12/07,165,B
+07DA001,1,1968/12/08,164,B
+07DA001,1,1968/12/09,165,B
+07DA001,1,1968/12/10,165,B
+07DA001,1,1968/12/11,161,B
+07DA001,1,1968/12/12,160,B
+07DA001,1,1968/12/13,153,B
+07DA001,1,1968/12/14,151,B
+07DA001,1,1968/12/15,153,B
+07DA001,1,1968/12/16,153,B
+07DA001,1,1968/12/17,148,B
+07DA001,1,1968/12/18,147,B
+07DA001,1,1968/12/19,144,B
+07DA001,1,1968/12/20,148,B
+07DA001,1,1968/12/21,148,B
+07DA001,1,1968/12/22,152,B
+07DA001,1,1968/12/23,154,B
+07DA001,1,1968/12/24,147,B
+07DA001,1,1968/12/25,146,B
+07DA001,1,1968/12/26,154,B
+07DA001,1,1968/12/27,154,B
+07DA001,1,1968/12/28,150,B
+07DA001,1,1968/12/29,151,B
+07DA001,1,1968/12/30,158,B
+07DA001,1,1968/12/31,156,B
+07DA001,1,1969/01/01,159,B
+07DA001,1,1969/01/02,159,B
+07DA001,1,1969/01/03,161,B
+07DA001,1,1969/01/04,162,B
+07DA001,1,1969/01/05,155,B
+07DA001,1,1969/01/06,155,B
+07DA001,1,1969/01/07,151,B
+07DA001,1,1969/01/08,152,B
+07DA001,1,1969/01/09,151,B
+07DA001,1,1969/01/10,146,B
+07DA001,1,1969/01/11,148,B
+07DA001,1,1969/01/12,147,B
+07DA001,1,1969/01/13,151,B
+07DA001,1,1969/01/14,151,B
+07DA001,1,1969/01/15,152,B
+07DA001,1,1969/01/16,151,B
+07DA001,1,1969/01/17,151,B
+07DA001,1,1969/01/18,152,B
+07DA001,1,1969/01/19,151,B
+07DA001,1,1969/01/20,149,B
+07DA001,1,1969/01/21,148,B
+07DA001,1,1969/01/22,146,B
+07DA001,1,1969/01/23,143,B
+07DA001,1,1969/01/24,138,B
+07DA001,1,1969/01/25,136,B
+07DA001,1,1969/01/26,135,B
+07DA001,1,1969/01/27,134,B
+07DA001,1,1969/01/28,133,B
+07DA001,1,1969/01/29,132,B
+07DA001,1,1969/01/30,132,B
+07DA001,1,1969/01/31,131,B
+07DA001,1,1969/02/01,130,B
+07DA001,1,1969/02/02,129,B
+07DA001,1,1969/02/03,128,B
+07DA001,1,1969/02/04,128,B
+07DA001,1,1969/02/05,127,B
+07DA001,1,1969/02/06,126,B
+07DA001,1,1969/02/07,126,B
+07DA001,1,1969/02/08,125,B
+07DA001,1,1969/02/09,124,B
+07DA001,1,1969/02/10,123,B
+07DA001,1,1969/02/11,123,B
+07DA001,1,1969/02/12,122,B
+07DA001,1,1969/02/13,121,B
+07DA001,1,1969/02/14,121,B
+07DA001,1,1969/02/15,120,B
+07DA001,1,1969/02/16,119,B
+07DA001,1,1969/02/17,119,B
+07DA001,1,1969/02/18,118,B
+07DA001,1,1969/02/19,119,B
+07DA001,1,1969/02/20,119,B
+07DA001,1,1969/02/21,119,B
+07DA001,1,1969/02/22,119,B
+07DA001,1,1969/02/23,119,B
+07DA001,1,1969/02/24,119,B
+07DA001,1,1969/02/25,120,B
+07DA001,1,1969/02/26,121,B
+07DA001,1,1969/02/27,121,B
+07DA001,1,1969/02/28,121,B
+07DA001,1,1969/03/01,122,B
+07DA001,1,1969/03/02,122,B
+07DA001,1,1969/03/03,122,B
+07DA001,1,1969/03/04,122,B
+07DA001,1,1969/03/05,121,B
+07DA001,1,1969/03/06,121,B
+07DA001,1,1969/03/07,121,B
+07DA001,1,1969/03/08,121,B
+07DA001,1,1969/03/09,121,B
+07DA001,1,1969/03/10,121,B
+07DA001,1,1969/03/11,121,B
+07DA001,1,1969/03/12,121,B
+07DA001,1,1969/03/13,121,B
+07DA001,1,1969/03/14,121,B
+07DA001,1,1969/03/15,121,B
+07DA001,1,1969/03/16,120,B
+07DA001,1,1969/03/17,120,B
+07DA001,1,1969/03/18,120,B
+07DA001,1,1969/03/19,119,B
+07DA001,1,1969/03/20,118,B
+07DA001,1,1969/03/21,117,B
+07DA001,1,1969/03/22,115,B
+07DA001,1,1969/03/23,114,B
+07DA001,1,1969/03/24,113,B
+07DA001,1,1969/03/25,112,B
+07DA001,1,1969/03/26,110,B
+07DA001,1,1969/03/27,110,B
+07DA001,1,1969/03/28,108,B
+07DA001,1,1969/03/29,108,B
+07DA001,1,1969/03/30,110,B
+07DA001,1,1969/03/31,114,B
+07DA001,1,1969/04/01,117,B
+07DA001,1,1969/04/02,117,B
+07DA001,1,1969/04/03,118,B
+07DA001,1,1969/04/04,117,B
+07DA001,1,1969/04/05,118,B
+07DA001,1,1969/04/06,120,B
+07DA001,1,1969/04/07,128,B
+07DA001,1,1969/04/08,133,B
+07DA001,1,1969/04/09,142,B
+07DA001,1,1969/04/10,152,B
+07DA001,1,1969/04/11,165,B
+07DA001,1,1969/04/12,201,B
+07DA001,1,1969/04/13,283,B
+07DA001,1,1969/04/14,479,B
+07DA001,1,1969/04/15,646,B
+07DA001,1,1969/04/28,1310,
+07DA001,1,1969/04/29,1340,
+07DA001,1,1969/04/30,1340,
+07DA001,1,1969/05/01,1350,
+07DA001,1,1969/05/02,1370,
+07DA001,1,1969/05/03,1370,
+07DA001,1,1969/05/04,1350,
+07DA001,1,1969/05/05,1310,
+07DA001,1,1969/05/06,1270,
+07DA001,1,1969/05/07,1220,
+07DA001,1,1969/05/08,1160,
+07DA001,1,1969/05/09,1120,
+07DA001,1,1969/05/10,1110,
+07DA001,1,1969/05/11,1080,
+07DA001,1,1969/05/12,1020,
+07DA001,1,1969/05/13,971,
+07DA001,1,1969/05/14,926,
+07DA001,1,1969/05/15,872,
+07DA001,1,1969/05/16,835,
+07DA001,1,1969/05/17,818,
+07DA001,1,1969/05/18,855,
+07DA001,1,1969/05/19,912,
+07DA001,1,1969/05/20,929,
+07DA001,1,1969/05/21,929,
+07DA001,1,1969/05/22,895,
+07DA001,1,1969/05/23,850,
+07DA001,1,1969/05/24,813,
+07DA001,1,1969/05/25,796,
+07DA001,1,1969/05/26,790,
+07DA001,1,1969/05/27,773,
+07DA001,1,1969/05/28,801,
+07DA001,1,1969/05/29,869,
+07DA001,1,1969/05/30,1010,
+07DA001,1,1969/05/31,1180,
+07DA001,1,1969/06/01,1210,
+07DA001,1,1969/06/02,1160,
+07DA001,1,1969/06/03,1080,
+07DA001,1,1969/06/04,1010,
+07DA001,1,1969/06/05,954,
+07DA001,1,1969/06/06,917,
+07DA001,1,1969/06/07,886,
+07DA001,1,1969/06/08,926,
+07DA001,1,1969/06/09,1080,
+07DA001,1,1969/06/10,1230,
+07DA001,1,1969/06/11,1250,
+07DA001,1,1969/06/12,1190,
+07DA001,1,1969/06/13,1100,
+07DA001,1,1969/06/14,1060,
+07DA001,1,1969/06/15,1050,
+07DA001,1,1969/06/16,1050,
+07DA001,1,1969/06/17,1040,
+07DA001,1,1969/06/18,1020,
+07DA001,1,1969/06/19,960,
+07DA001,1,1969/06/20,886,
+07DA001,1,1969/06/21,841,
+07DA001,1,1969/06/22,824,
+07DA001,1,1969/06/23,830,
+07DA001,1,1969/06/24,869,
+07DA001,1,1969/06/25,932,
+07DA001,1,1969/06/26,937,
+07DA001,1,1969/06/27,923,
+07DA001,1,1969/06/28,883,
+07DA001,1,1969/06/29,844,
+07DA001,1,1969/06/30,835,
+07DA001,1,1969/07/01,881,
+07DA001,1,1969/07/02,920,
+07DA001,1,1969/07/03,886,
+07DA001,1,1969/07/04,858,
+07DA001,1,1969/07/05,858,
+07DA001,1,1969/07/06,883,
+07DA001,1,1969/07/07,886,
+07DA001,1,1969/07/08,852,
+07DA001,1,1969/07/09,838,
+07DA001,1,1969/07/10,1070,
+07DA001,1,1969/07/11,1480,
+07DA001,1,1969/07/12,1410,
+07DA001,1,1969/07/13,1380,
+07DA001,1,1969/07/14,1290,
+07DA001,1,1969/07/15,1180,
+07DA001,1,1969/07/16,1110,
+07DA001,1,1969/07/17,1070,
+07DA001,1,1969/07/18,1010,
+07DA001,1,1969/07/19,923,
+07DA001,1,1969/07/20,841,
+07DA001,1,1969/07/21,779,
+07DA001,1,1969/07/22,762,
+07DA001,1,1969/07/23,725,
+07DA001,1,1969/07/24,697,
+07DA001,1,1969/07/25,685,
+07DA001,1,1969/07/26,680,
+07DA001,1,1969/07/27,705,
+07DA001,1,1969/07/28,728,
+07DA001,1,1969/07/29,722,
+07DA001,1,1969/07/30,694,
+07DA001,1,1969/07/31,702,
+07DA001,1,1969/08/01,742,
+07DA001,1,1969/08/02,731,
+07DA001,1,1969/08/03,759,
+07DA001,1,1969/08/04,858,
+07DA001,1,1969/08/05,878,
+07DA001,1,1969/08/06,830,
+07DA001,1,1969/08/07,807,
+07DA001,1,1969/08/08,799,
+07DA001,1,1969/08/09,1010,
+07DA001,1,1969/08/10,2630,
+07DA001,1,1969/08/11,2780,
+07DA001,1,1969/08/12,2230,
+07DA001,1,1969/08/13,1970,
+07DA001,1,1969/08/14,1760,
+07DA001,1,1969/08/15,1570,
+07DA001,1,1969/08/16,1430,
+07DA001,1,1969/08/17,1310,
+07DA001,1,1969/08/18,1200,
+07DA001,1,1969/08/19,1110,
+07DA001,1,1969/08/20,1040,
+07DA001,1,1969/08/21,1010,
+07DA001,1,1969/08/22,983,
+07DA001,1,1969/08/23,937,
+07DA001,1,1969/08/24,878,
+07DA001,1,1969/08/25,847,
+07DA001,1,1969/08/26,827,
+07DA001,1,1969/08/27,801,
+07DA001,1,1969/08/28,793,
+07DA001,1,1969/08/29,767,
+07DA001,1,1969/08/30,736,
+07DA001,1,1969/08/31,731,
+07DA001,1,1969/09/01,733,
+07DA001,1,1969/09/02,711,
+07DA001,1,1969/09/03,691,
+07DA001,1,1969/09/04,688,
+07DA001,1,1969/09/05,680,
+07DA001,1,1969/09/06,674,
+07DA001,1,1969/09/07,691,
+07DA001,1,1969/09/08,750,
+07DA001,1,1969/09/09,883,
+07DA001,1,1969/09/10,1030,
+07DA001,1,1969/09/11,1010,
+07DA001,1,1969/09/12,997,
+07DA001,1,1969/09/13,940,
+07DA001,1,1969/09/14,923,
+07DA001,1,1969/09/15,883,
+07DA001,1,1969/09/16,858,
+07DA001,1,1969/09/17,852,
+07DA001,1,1969/09/18,864,
+07DA001,1,1969/09/19,886,
+07DA001,1,1969/09/20,912,
+07DA001,1,1969/09/21,889,
+07DA001,1,1969/09/22,852,
+07DA001,1,1969/09/23,813,
+07DA001,1,1969/09/24,807,
+07DA001,1,1969/09/25,801,
+07DA001,1,1969/09/26,816,
+07DA001,1,1969/09/27,830,
+07DA001,1,1969/09/28,852,
+07DA001,1,1969/09/29,875,
+07DA001,1,1969/09/30,892,
+07DA001,1,1969/10/01,917,
+07DA001,1,1969/10/02,932,
+07DA001,1,1969/10/03,929,
+07DA001,1,1969/10/04,915,
+07DA001,1,1969/10/05,900,
+07DA001,1,1969/10/06,886,
+07DA001,1,1969/10/07,858,
+07DA001,1,1969/10/08,855,
+07DA001,1,1969/10/09,852,
+07DA001,1,1969/10/10,858,
+07DA001,1,1969/10/11,850,
+07DA001,1,1969/10/12,827,
+07DA001,1,1969/10/13,813,
+07DA001,1,1969/10/14,807,
+07DA001,1,1969/10/15,790,
+07DA001,1,1969/10/16,776,
+07DA001,1,1969/10/17,762,
+07DA001,1,1969/10/18,739,
+07DA001,1,1969/10/19,714,
+07DA001,1,1969/10/20,688,
+07DA001,1,1969/10/21,668,
+07DA001,1,1969/10/22,634,
+07DA001,1,1969/10/23,637,
+07DA001,1,1969/10/24,631,
+07DA001,1,1969/10/25,606,B
+07DA001,1,1969/10/26,549,B
+07DA001,1,1969/10/27,532,B
+07DA001,1,1969/10/28,532,B
+07DA001,1,1969/10/29,521,B
+07DA001,1,1969/10/30,530,B
+07DA001,1,1969/10/31,535,B
+07DA001,1,1969/11/01,515,B
+07DA001,1,1969/11/02,513,B
+07DA001,1,1969/11/03,498,B
+07DA001,1,1969/11/04,479,B
+07DA001,1,1969/11/05,459,B
+07DA001,1,1969/11/06,439,B
+07DA001,1,1969/11/07,422,B
+07DA001,1,1969/11/08,405,B
+07DA001,1,1969/11/09,382,B
+07DA001,1,1969/11/10,362,B
+07DA001,1,1969/11/11,345,B
+07DA001,1,1969/11/12,328,B
+07DA001,1,1969/11/13,309,B
+07DA001,1,1969/11/26,149,B
+07DA001,1,1969/12/22,171,B
+07DA001,1,1970/01/01,161,B
+07DA001,1,1970/01/02,161,B
+07DA001,1,1970/01/03,160,B
+07DA001,1,1970/01/04,159,B
+07DA001,1,1970/01/05,158,B
+07DA001,1,1970/01/06,157,B
+07DA001,1,1970/01/07,156,B
+07DA001,1,1970/01/08,155,B
+07DA001,1,1970/01/09,154,B
+07DA001,1,1970/01/10,153,B
+07DA001,1,1970/01/11,152,B
+07DA001,1,1970/01/12,151,B
+07DA001,1,1970/01/13,150,B
+07DA001,1,1970/01/14,149,B
+07DA001,1,1970/01/15,148,B
+07DA001,1,1970/01/16,148,B
+07DA001,1,1970/01/17,147,B
+07DA001,1,1970/01/18,146,B
+07DA001,1,1970/01/19,145,B
+07DA001,1,1970/01/20,144,B
+07DA001,1,1970/01/21,143,B
+07DA001,1,1970/01/22,142,B
+07DA001,1,1970/01/23,141,B
+07DA001,1,1970/01/24,140,B
+07DA001,1,1970/01/25,139,B
+07DA001,1,1970/01/26,138,B
+07DA001,1,1970/01/27,139,B
+07DA001,1,1970/01/28,140,B
+07DA001,1,1970/01/29,140,B
+07DA001,1,1970/01/30,141,B
+07DA001,1,1970/01/31,142,B
+07DA001,1,1970/02/01,143,B
+07DA001,1,1970/02/02,144,B
+07DA001,1,1970/02/03,144,B
+07DA001,1,1970/02/04,145,B
+07DA001,1,1970/02/05,146,B
+07DA001,1,1970/02/06,147,B
+07DA001,1,1970/02/07,148,B
+07DA001,1,1970/02/08,148,B
+07DA001,1,1970/02/09,149,B
+07DA001,1,1970/02/10,150,B
+07DA001,1,1970/02/11,150,B
+07DA001,1,1970/02/12,151,B
+07DA001,1,1970/02/13,152,B
+07DA001,1,1970/02/14,153,B
+07DA001,1,1970/02/15,153,B
+07DA001,1,1970/02/16,154,B
+07DA001,1,1970/02/17,155,B
+07DA001,1,1970/02/18,155,B
+07DA001,1,1970/02/19,155,B
+07DA001,1,1970/02/20,154,B
+07DA001,1,1970/02/21,154,B
+07DA001,1,1970/02/22,155,B
+07DA001,1,1970/02/23,151,B
+07DA001,1,1970/02/24,152,B
+07DA001,1,1970/02/25,152,B
+07DA001,1,1970/02/26,153,B
+07DA001,1,1970/02/27,154,B
+07DA001,1,1970/02/28,154,B
+07DA001,1,1970/03/01,155,B
+07DA001,1,1970/03/02,156,B
+07DA001,1,1970/03/03,158,B
+07DA001,1,1970/03/04,159,B
+07DA001,1,1970/03/05,160,B
+07DA001,1,1970/03/06,160,B
+07DA001,1,1970/03/07,159,B
+07DA001,1,1970/03/08,158,B
+07DA001,1,1970/03/09,154,B
+07DA001,1,1970/03/10,153,B
+07DA001,1,1970/03/11,151,B
+07DA001,1,1970/03/12,148,B
+07DA001,1,1970/03/13,145,B
+07DA001,1,1970/03/14,142,B
+07DA001,1,1970/03/15,137,B
+07DA001,1,1970/03/16,139,B
+07DA001,1,1970/03/17,142,B
+07DA001,1,1970/03/18,143,B
+07DA001,1,1970/03/19,146,B
+07DA001,1,1970/03/20,148,B
+07DA001,1,1970/03/21,148,B
+07DA001,1,1970/03/22,148,B
+07DA001,1,1970/03/23,153,B
+07DA001,1,1970/03/24,154,B
+07DA001,1,1970/03/25,153,B
+07DA001,1,1970/03/26,155,B
+07DA001,1,1970/03/27,153,B
+07DA001,1,1970/03/28,155,B
+07DA001,1,1970/03/29,159,B
+07DA001,1,1970/03/30,163,B
+07DA001,1,1970/03/31,163,B
+07DA001,1,1970/04/01,165,B
+07DA001,1,1970/04/02,168,B
+07DA001,1,1970/04/03,167,B
+07DA001,1,1970/04/04,173,B
+07DA001,1,1970/04/05,174,B
+07DA001,1,1970/04/06,174,B
+07DA001,1,1970/04/07,175,B
+07DA001,1,1970/04/08,178,B
+07DA001,1,1970/04/09,194,B
+07DA001,1,1970/04/10,214,B
+07DA001,1,1970/04/11,238,B
+07DA001,1,1970/04/12,264,B
+07DA001,1,1970/04/13,294,B
+07DA001,1,1970/04/14,365,B
+07DA001,1,1970/04/15,501,B
+07DA001,1,1970/04/16,595,B
+07DA001,1,1970/04/17,685,B
+07DA001,1,1970/04/18,858,B
+07DA001,1,1970/04/19,895,B
+07DA001,1,1970/04/20,1010,B
+07DA001,1,1970/04/21,1240,B
+07DA001,1,1970/04/22,1290,B
+07DA001,1,1970/04/23,1140,B
+07DA001,1,1970/04/24,946,B
+07DA001,1,1970/04/25,966,B
+07DA001,1,1970/04/26,1010,B
+07DA001,1,1970/04/27,892,B
+07DA001,1,1970/04/28,858,B
+07DA001,1,1970/04/29,909,B
+07DA001,1,1970/04/30,966,B
+07DA001,1,1970/05/01,966,B
+07DA001,1,1970/05/02,966,B
+07DA001,1,1970/05/03,912,
+07DA001,1,1970/05/04,912,
+07DA001,1,1970/05/05,867,
+07DA001,1,1970/05/06,847,
+07DA001,1,1970/05/07,841,
+07DA001,1,1970/05/08,867,
+07DA001,1,1970/05/09,886,
+07DA001,1,1970/05/10,892,
+07DA001,1,1970/05/11,892,
+07DA001,1,1970/05/12,881,
+07DA001,1,1970/05/13,864,
+07DA001,1,1970/05/14,852,
+07DA001,1,1970/05/15,875,
+07DA001,1,1970/05/16,903,
+07DA001,1,1970/05/17,980,
+07DA001,1,1970/05/18,991,
+07DA001,1,1970/05/19,980,
+07DA001,1,1970/05/20,949,
+07DA001,1,1970/05/21,912,
+07DA001,1,1970/05/22,889,
+07DA001,1,1970/05/23,934,
+07DA001,1,1970/05/24,966,
+07DA001,1,1970/05/25,932,
+07DA001,1,1970/05/26,900,
+07DA001,1,1970/05/27,889,
+07DA001,1,1970/05/28,881,
+07DA001,1,1970/05/29,898,
+07DA001,1,1970/05/30,917,
+07DA001,1,1970/05/31,923,
+07DA001,1,1970/06/01,980,
+07DA001,1,1970/06/02,1010,
+07DA001,1,1970/06/03,946,
+07DA001,1,1970/06/04,864,
+07DA001,1,1970/06/05,796,
+07DA001,1,1970/06/06,739,
+07DA001,1,1970/06/07,714,
+07DA001,1,1970/06/08,796,
+07DA001,1,1970/06/09,1060,
+07DA001,1,1970/06/10,1170,
+07DA001,1,1970/06/11,1130,
+07DA001,1,1970/06/12,1090,
+07DA001,1,1970/06/13,1100,
+07DA001,1,1970/06/14,1140,
+07DA001,1,1970/06/15,1120,
+07DA001,1,1970/06/16,1120,
+07DA001,1,1970/06/17,1080,
+07DA001,1,1970/06/18,1010,
+07DA001,1,1970/06/19,997,
+07DA001,1,1970/06/20,1230,
+07DA001,1,1970/06/21,1780,
+07DA001,1,1970/06/22,1650,
+07DA001,1,1970/06/23,1570,
+07DA001,1,1970/06/24,1540,
+07DA001,1,1970/06/25,1520,
+07DA001,1,1970/06/26,1470,
+07DA001,1,1970/06/27,1460,
+07DA001,1,1970/06/28,1460,
+07DA001,1,1970/06/29,1610,
+07DA001,1,1970/06/30,2110,
+07DA001,1,1970/07/01,2670,
+07DA001,1,1970/07/02,3650,
+07DA001,1,1970/07/03,3850,
+07DA001,1,1970/07/04,3480,
+07DA001,1,1970/07/05,3140,
+07DA001,1,1970/07/06,2830,
+07DA001,1,1970/07/07,2550,
+07DA001,1,1970/07/08,2320,
+07DA001,1,1970/07/09,2150,
+07DA001,1,1970/07/10,2040,
+07DA001,1,1970/07/11,2010,
+07DA001,1,1970/07/12,1980,
+07DA001,1,1970/07/13,1930,
+07DA001,1,1970/07/14,1880,
+07DA001,1,1970/07/15,1790,
+07DA001,1,1970/07/16,1680,
+07DA001,1,1970/07/17,1570,
+07DA001,1,1970/07/18,1460,
+07DA001,1,1970/07/19,1350,
+07DA001,1,1970/07/20,1270,
+07DA001,1,1970/07/21,1230,
+07DA001,1,1970/07/22,1230,
+07DA001,1,1970/07/23,1240,
+07DA001,1,1970/07/24,1240,
+07DA001,1,1970/07/25,1230,
+07DA001,1,1970/07/26,1220,
+07DA001,1,1970/07/27,1190,
+07DA001,1,1970/07/28,1140,
+07DA001,1,1970/07/29,1100,
+07DA001,1,1970/07/30,1060,
+07DA001,1,1970/07/31,1170,
+07DA001,1,1970/08/01,1380,
+07DA001,1,1970/08/02,1450,
+07DA001,1,1970/08/03,1440,
+07DA001,1,1970/08/04,1380,
+07DA001,1,1970/08/05,1290,
+07DA001,1,1970/08/06,1190,
+07DA001,1,1970/08/07,1110,
+07DA001,1,1970/08/08,1070,
+07DA001,1,1970/08/09,1030,
+07DA001,1,1970/08/10,1020,
+07DA001,1,1970/08/11,1010,
+07DA001,1,1970/08/12,983,
+07DA001,1,1970/08/13,963,
+07DA001,1,1970/08/14,943,
+07DA001,1,1970/08/15,912,
+07DA001,1,1970/08/16,858,
+07DA001,1,1970/08/17,807,
+07DA001,1,1970/08/18,790,
+07DA001,1,1970/08/19,784,
+07DA001,1,1970/08/20,787,
+07DA001,1,1970/08/21,765,
+07DA001,1,1970/08/22,719,
+07DA001,1,1970/08/23,697,
+07DA001,1,1970/08/24,685,
+07DA001,1,1970/08/25,648,
+07DA001,1,1970/08/26,623,
+07DA001,1,1970/08/27,614,
+07DA001,1,1970/08/28,614,
+07DA001,1,1970/08/29,620,
+07DA001,1,1970/08/30,637,
+07DA001,1,1970/08/31,657,
+07DA001,1,1970/09/01,674,
+07DA001,1,1970/09/02,728,
+07DA001,1,1970/09/03,767,
+07DA001,1,1970/09/04,827,
+07DA001,1,1970/09/05,847,
+07DA001,1,1970/09/06,838,
+07DA001,1,1970/09/07,827,
+07DA001,1,1970/09/08,818,
+07DA001,1,1970/09/09,813,
+07DA001,1,1970/09/10,799,
+07DA001,1,1970/09/11,770,
+07DA001,1,1970/09/12,736,
+07DA001,1,1970/09/13,699,
+07DA001,1,1970/09/14,668,
+07DA001,1,1970/09/15,640,
+07DA001,1,1970/09/16,626,
+07DA001,1,1970/09/17,612,
+07DA001,1,1970/09/18,597,
+07DA001,1,1970/09/19,589,
+07DA001,1,1970/09/20,575,
+07DA001,1,1970/09/21,564,
+07DA001,1,1970/09/22,549,
+07DA001,1,1970/09/23,564,
+07DA001,1,1970/09/24,643,
+07DA001,1,1970/09/25,733,
+07DA001,1,1970/09/26,773,
+07DA001,1,1970/09/27,784,
+07DA001,1,1970/09/28,787,
+07DA001,1,1970/09/29,773,
+07DA001,1,1970/09/30,753,
+07DA001,1,1970/10/01,728,
+07DA001,1,1970/10/02,708,
+07DA001,1,1970/10/03,691,
+07DA001,1,1970/10/04,674,
+07DA001,1,1970/10/05,660,
+07DA001,1,1970/10/06,640,
+07DA001,1,1970/10/07,623,
+07DA001,1,1970/10/08,606,
+07DA001,1,1970/10/09,586,
+07DA001,1,1970/10/10,575,
+07DA001,1,1970/10/11,575,
+07DA001,1,1970/10/12,566,
+07DA001,1,1970/10/13,564,
+07DA001,1,1970/10/14,564,
+07DA001,1,1970/10/15,558,
+07DA001,1,1970/10/16,547,
+07DA001,1,1970/10/17,541,
+07DA001,1,1970/10/18,532,
+07DA001,1,1970/10/19,527,
+07DA001,1,1970/10/20,515,
+07DA001,1,1970/10/21,513,
+07DA001,1,1970/10/22,510,
+07DA001,1,1970/10/23,507,
+07DA001,1,1970/10/24,504,
+07DA001,1,1970/10/25,501,
+07DA001,1,1970/10/26,504,
+07DA001,1,1970/10/27,507,
+07DA001,1,1970/10/28,498,
+07DA001,1,1970/10/29,496,
+07DA001,1,1970/10/30,496,
+07DA001,1,1970/10/31,493,
+07DA001,1,1970/11/01,496,
+07DA001,1,1970/11/02,496,
+07DA001,1,1970/11/03,487,
+07DA001,1,1970/11/04,459,B
+07DA001,1,1970/11/05,450,B
+07DA001,1,1970/11/06,442,B
+07DA001,1,1970/11/07,430,B
+07DA001,1,1970/11/08,433,B
+07DA001,1,1970/11/09,419,B
+07DA001,1,1970/11/10,396,B
+07DA001,1,1970/11/11,379,B
+07DA001,1,1970/11/12,374,B
+07DA001,1,1970/11/13,340,B
+07DA001,1,1970/11/14,292,B
+07DA001,1,1970/11/15,242,B
+07DA001,1,1970/11/16,244,B
+07DA001,1,1970/11/17,200,B
+07DA001,1,1970/11/18,212,B
+07DA001,1,1970/11/19,215,B
+07DA001,1,1970/11/20,198,B
+07DA001,1,1970/11/21,171,B
+07DA001,1,1970/11/22,153,B
+07DA001,1,1970/11/23,120,B
+07DA001,1,1970/11/24,105,B
+07DA001,1,1970/11/25,106,B
+07DA001,1,1970/11/26,104,B
+07DA001,1,1970/11/27,105,B
+07DA001,1,1970/11/28,115,B
+07DA001,1,1970/11/29,164,B
+07DA001,1,1970/11/30,175,B
+07DA001,1,1970/12/01,182,B
+07DA001,1,1970/12/02,185,B
+07DA001,1,1970/12/03,182,B
+07DA001,1,1970/12/04,177,B
+07DA001,1,1970/12/05,174,B
+07DA001,1,1970/12/06,171,B
+07DA001,1,1970/12/07,165,B
+07DA001,1,1970/12/08,162,B
+07DA001,1,1970/12/09,164,B
+07DA001,1,1970/12/10,177,B
+07DA001,1,1970/12/11,184,B
+07DA001,1,1970/12/12,187,B
+07DA001,1,1970/12/13,193,B
+07DA001,1,1970/12/14,197,B
+07DA001,1,1970/12/15,197,B
+07DA001,1,1970/12/16,195,B
+07DA001,1,1970/12/17,189,B
+07DA001,1,1970/12/18,183,B
+07DA001,1,1970/12/19,183,B
+07DA001,1,1970/12/20,182,B
+07DA001,1,1970/12/21,182,B
+07DA001,1,1970/12/22,181,B
+07DA001,1,1970/12/23,181,B
+07DA001,1,1970/12/24,180,B
+07DA001,1,1970/12/25,177,B
+07DA001,1,1970/12/26,174,B
+07DA001,1,1970/12/27,172,B
+07DA001,1,1970/12/28,170,B
+07DA001,1,1970/12/29,165,B
+07DA001,1,1970/12/30,163,B
+07DA001,1,1970/12/31,158,B
+07DA001,1,1971/01/01,157,B
+07DA001,1,1971/01/02,157,B
+07DA001,1,1971/01/03,156,B
+07DA001,1,1971/01/04,155,B
+07DA001,1,1971/01/05,155,B
+07DA001,1,1971/01/06,155,B
+07DA001,1,1971/01/07,156,B
+07DA001,1,1971/01/08,156,B
+07DA001,1,1971/01/09,156,B
+07DA001,1,1971/01/10,155,B
+07DA001,1,1971/01/11,153,B
+07DA001,1,1971/01/12,151,B
+07DA001,1,1971/01/13,151,B
+07DA001,1,1971/01/14,151,B
+07DA001,1,1971/01/15,151,B
+07DA001,1,1971/01/16,151,B
+07DA001,1,1971/01/17,151,B
+07DA001,1,1971/01/18,152,B
+07DA001,1,1971/01/19,152,B
+07DA001,1,1971/01/20,154,B
+07DA001,1,1971/01/21,154,B
+07DA001,1,1971/01/22,153,B
+07DA001,1,1971/01/23,152,B
+07DA001,1,1971/01/24,153,B
+07DA001,1,1971/01/25,154,B
+07DA001,1,1971/01/26,156,B
+07DA001,1,1971/01/27,157,B
+07DA001,1,1971/01/28,157,B
+07DA001,1,1971/01/29,156,B
+07DA001,1,1971/01/30,155,B
+07DA001,1,1971/01/31,154,B
+07DA001,1,1971/02/01,153,B
+07DA001,1,1971/02/02,152,B
+07DA001,1,1971/02/03,151,B
+07DA001,1,1971/02/04,150,B
+07DA001,1,1971/02/05,147,B
+07DA001,1,1971/02/06,147,B
+07DA001,1,1971/02/07,145,B
+07DA001,1,1971/02/08,144,B
+07DA001,1,1971/02/09,143,B
+07DA001,1,1971/02/10,142,B
+07DA001,1,1971/02/11,142,B
+07DA001,1,1971/02/12,142,B
+07DA001,1,1971/02/13,142,B
+07DA001,1,1971/02/14,141,B
+07DA001,1,1971/02/15,141,B
+07DA001,1,1971/02/16,142,B
+07DA001,1,1971/02/17,143,B
+07DA001,1,1971/02/18,142,B
+07DA001,1,1971/02/19,142,B
+07DA001,1,1971/02/20,142,B
+07DA001,1,1971/02/21,142,B
+07DA001,1,1971/02/22,143,B
+07DA001,1,1971/02/23,143,B
+07DA001,1,1971/02/24,144,B
+07DA001,1,1971/02/25,146,B
+07DA001,1,1971/02/26,147,B
+07DA001,1,1971/02/27,148,B
+07DA001,1,1971/02/28,147,B
+07DA001,1,1971/03/01,148,B
+07DA001,1,1971/03/02,150,B
+07DA001,1,1971/03/03,148,B
+07DA001,1,1971/03/04,148,B
+07DA001,1,1971/03/05,145,B
+07DA001,1,1971/03/06,143,B
+07DA001,1,1971/03/07,142,B
+07DA001,1,1971/03/08,141,B
+07DA001,1,1971/03/09,142,B
+07DA001,1,1971/03/10,142,B
+07DA001,1,1971/03/11,141,B
+07DA001,1,1971/03/12,142,B
+07DA001,1,1971/03/13,140,B
+07DA001,1,1971/03/14,138,B
+07DA001,1,1971/03/15,138,B
+07DA001,1,1971/03/16,138,B
+07DA001,1,1971/03/17,139,B
+07DA001,1,1971/03/18,139,B
+07DA001,1,1971/03/19,139,B
+07DA001,1,1971/03/20,142,B
+07DA001,1,1971/03/21,144,B
+07DA001,1,1971/03/22,146,B
+07DA001,1,1971/03/23,147,B
+07DA001,1,1971/03/24,150,B
+07DA001,1,1971/03/25,150,B
+07DA001,1,1971/03/26,151,B
+07DA001,1,1971/03/27,151,B
+07DA001,1,1971/03/28,148,B
+07DA001,1,1971/03/29,147,B
+07DA001,1,1971/03/30,144,B
+07DA001,1,1971/03/31,143,B
+07DA001,1,1971/04/01,142,B
+07DA001,1,1971/04/02,143,B
+07DA001,1,1971/04/03,142,B
+07DA001,1,1971/04/04,140,B
+07DA001,1,1971/04/05,142,B
+07DA001,1,1971/04/06,144,B
+07DA001,1,1971/04/07,150,B
+07DA001,1,1971/04/08,157,B
+07DA001,1,1971/04/09,159,B
+07DA001,1,1971/04/10,164,B
+07DA001,1,1971/04/11,167,B
+07DA001,1,1971/04/12,174,B
+07DA001,1,1971/04/13,177,B
+07DA001,1,1971/04/14,191,B
+07DA001,1,1971/04/15,234,B
+07DA001,1,1971/04/16,278,B
+07DA001,1,1971/04/17,320,B
+07DA001,1,1971/04/18,362,B
+07DA001,1,1971/04/19,442,B
+07DA001,1,1971/04/20,493,B
+07DA001,1,1971/04/21,513,B
+07DA001,1,1971/04/22,801,B
+07DA001,1,1971/04/23,1340,B
+07DA001,1,1971/04/24,1600,B
+07DA001,1,1971/04/25,1930,B
+07DA001,1,1971/04/26,2000,B
+07DA001,1,1971/04/27,1990,
+07DA001,1,1971/04/28,2070,
+07DA001,1,1971/04/29,2100,
+07DA001,1,1971/04/30,2040,
+07DA001,1,1971/05/01,1900,
+07DA001,1,1971/05/02,1770,
+07DA001,1,1971/05/03,1610,
+07DA001,1,1971/05/04,1540,
+07DA001,1,1971/05/05,1450,
+07DA001,1,1971/05/06,1380,
+07DA001,1,1971/05/07,1320,
+07DA001,1,1971/05/08,1310,
+07DA001,1,1971/05/09,1250,
+07DA001,1,1971/05/10,1230,
+07DA001,1,1971/05/11,1180,
+07DA001,1,1971/05/12,1130,
+07DA001,1,1971/05/13,1090,
+07DA001,1,1971/05/14,1040,
+07DA001,1,1971/05/15,1000,
+07DA001,1,1971/05/16,946,
+07DA001,1,1971/05/17,900,
+07DA001,1,1971/05/18,883,
+07DA001,1,1971/05/19,977,
+07DA001,1,1971/05/20,980,
+07DA001,1,1971/05/21,906,
+07DA001,1,1971/05/22,844,
+07DA001,1,1971/05/23,787,
+07DA001,1,1971/05/24,745,
+07DA001,1,1971/05/25,711,
+07DA001,1,1971/05/26,688,
+07DA001,1,1971/05/27,680,
+07DA001,1,1971/05/28,691,
+07DA001,1,1971/05/29,716,
+07DA001,1,1971/05/30,765,
+07DA001,1,1971/05/31,824,
+07DA001,1,1971/06/01,872,
+07DA001,1,1971/06/02,926,
+07DA001,1,1971/06/03,929,
+07DA001,1,1971/06/04,900,
+07DA001,1,1971/06/05,900,
+07DA001,1,1971/06/06,912,
+07DA001,1,1971/06/07,929,
+07DA001,1,1971/06/08,980,
+07DA001,1,1971/06/09,1080,
+07DA001,1,1971/06/10,1430,
+07DA001,1,1971/06/11,1770,
+07DA001,1,1971/06/12,1950,
+07DA001,1,1971/06/13,2560,
+07DA001,1,1971/06/14,2770,
+07DA001,1,1971/06/15,2390,
+07DA001,1,1971/06/16,2070,
+07DA001,1,1971/06/17,1940,
+07DA001,1,1971/06/18,2200,
+07DA001,1,1971/06/19,2300,
+07DA001,1,1971/06/20,2340,
+07DA001,1,1971/06/21,2390,
+07DA001,1,1971/06/22,2170,
+07DA001,1,1971/06/23,1910,
+07DA001,1,1971/06/24,1750,
+07DA001,1,1971/06/25,1670,
+07DA001,1,1971/06/26,1650,
+07DA001,1,1971/06/27,1790,
+07DA001,1,1971/06/28,2110,
+07DA001,1,1971/06/29,2380,
+07DA001,1,1971/06/30,2400,
+07DA001,1,1971/07/01,2310,
+07DA001,1,1971/07/02,2050,
+07DA001,1,1971/07/03,1910,
+07DA001,1,1971/07/04,1920,
+07DA001,1,1971/07/05,2050,
+07DA001,1,1971/07/06,2640,
+07DA001,1,1971/07/07,3340,
+07DA001,1,1971/07/08,3230,
+07DA001,1,1971/07/09,3110,
+07DA001,1,1971/07/10,3370,
+07DA001,1,1971/07/11,3510,
+07DA001,1,1971/07/12,3370,
+07DA001,1,1971/07/13,3450,
+07DA001,1,1971/07/14,4250,
+07DA001,1,1971/07/15,4700,
+07DA001,1,1971/07/16,4470,
+07DA001,1,1971/07/17,3820,
+07DA001,1,1971/07/18,3340,
+07DA001,1,1971/07/19,3000,
+07DA001,1,1971/07/20,2800,
+07DA001,1,1971/07/21,2600,
+07DA001,1,1971/07/22,2510,
+07DA001,1,1971/07/23,2180,
+07DA001,1,1971/07/24,2050,
+07DA001,1,1971/07/25,1960,
+07DA001,1,1971/07/26,1910,
+07DA001,1,1971/07/27,1870,
+07DA001,1,1971/07/28,1900,
+07DA001,1,1971/07/29,1900,
+07DA001,1,1971/07/30,1740,
+07DA001,1,1971/07/31,1590,
+07DA001,1,1971/08/01,1500,
+07DA001,1,1971/08/02,1450,
+07DA001,1,1971/08/03,1410,
+07DA001,1,1971/08/04,1340,
+07DA001,1,1971/08/05,1300,
+07DA001,1,1971/08/06,1310,
+07DA001,1,1971/08/07,1300,
+07DA001,1,1971/08/08,1300,
+07DA001,1,1971/08/09,1250,
+07DA001,1,1971/08/10,1220,
+07DA001,1,1971/08/11,1200,
+07DA001,1,1971/08/12,1190,
+07DA001,1,1971/08/13,1200,
+07DA001,1,1971/08/14,1180,
+07DA001,1,1971/08/15,1140,
+07DA001,1,1971/08/16,1090,
+07DA001,1,1971/08/17,1080,
+07DA001,1,1971/08/18,1070,
+07DA001,1,1971/08/19,1050,
+07DA001,1,1971/08/20,1020,
+07DA001,1,1971/08/21,988,
+07DA001,1,1971/08/22,960,
+07DA001,1,1971/08/23,920,
+07DA001,1,1971/08/24,883,
+07DA001,1,1971/08/25,852,
+07DA001,1,1971/08/26,827,
+07DA001,1,1971/08/27,824,
+07DA001,1,1971/08/28,824,
+07DA001,1,1971/08/29,821,
+07DA001,1,1971/08/30,776,
+07DA001,1,1971/08/31,736,
+07DA001,1,1971/09/01,750,
+07DA001,1,1971/09/02,759,
+07DA001,1,1971/09/03,736,
+07DA001,1,1971/09/04,733,
+07DA001,1,1971/09/05,728,
+07DA001,1,1971/09/06,739,
+07DA001,1,1971/09/07,745,
+07DA001,1,1971/09/08,719,
+07DA001,1,1971/09/09,674,
+07DA001,1,1971/09/10,640,
+07DA001,1,1971/09/11,617,
+07DA001,1,1971/09/12,609,
+07DA001,1,1971/09/13,640,
+07DA001,1,1971/09/14,631,
+07DA001,1,1971/09/15,623,
+07DA001,1,1971/09/16,654,
+07DA001,1,1971/09/17,640,
+07DA001,1,1971/09/18,691,
+07DA001,1,1971/09/19,680,
+07DA001,1,1971/09/20,648,
+07DA001,1,1971/09/21,617,
+07DA001,1,1971/09/22,592,
+07DA001,1,1971/09/23,575,
+07DA001,1,1971/09/24,564,
+07DA001,1,1971/09/25,569,
+07DA001,1,1971/09/26,569,
+07DA001,1,1971/09/27,575,
+07DA001,1,1971/09/28,566,
+07DA001,1,1971/09/29,561,
+07DA001,1,1971/09/30,564,
+07DA001,1,1971/10/01,600,
+07DA001,1,1971/10/02,640,
+07DA001,1,1971/10/03,654,
+07DA001,1,1971/10/04,643,
+07DA001,1,1971/10/05,623,
+07DA001,1,1971/10/06,609,
+07DA001,1,1971/10/07,606,
+07DA001,1,1971/10/08,606,
+07DA001,1,1971/10/09,606,
+07DA001,1,1971/10/10,597,
+07DA001,1,1971/10/11,595,
+07DA001,1,1971/10/12,597,
+07DA001,1,1971/10/13,612,
+07DA001,1,1971/10/14,631,
+07DA001,1,1971/10/15,620,
+07DA001,1,1971/10/16,597,
+07DA001,1,1971/10/17,578,
+07DA001,1,1971/10/18,564,
+07DA001,1,1971/10/19,552,
+07DA001,1,1971/10/20,544,
+07DA001,1,1971/10/21,535,
+07DA001,1,1971/10/22,527,
+07DA001,1,1971/10/23,515,
+07DA001,1,1971/10/24,504,
+07DA001,1,1971/10/25,498,
+07DA001,1,1971/10/26,487,B
+07DA001,1,1971/10/27,464,B
+07DA001,1,1971/10/28,436,B
+07DA001,1,1971/10/29,396,B
+07DA001,1,1971/10/30,362,B
+07DA001,1,1971/10/31,351,B
+07DA001,1,1971/11/01,348,B
+07DA001,1,1971/11/02,348,B
+07DA001,1,1971/11/03,292,B
+07DA001,1,1971/11/04,286,B
+07DA001,1,1971/11/05,286,B
+07DA001,1,1971/11/06,286,B
+07DA001,1,1971/11/07,283,B
+07DA001,1,1971/11/08,280,B
+07DA001,1,1971/11/09,276,B
+07DA001,1,1971/11/10,294,B
+07DA001,1,1971/11/11,311,B
+07DA001,1,1971/11/12,309,B
+07DA001,1,1971/11/13,311,B
+07DA001,1,1971/11/14,317,B
+07DA001,1,1971/11/15,311,B
+07DA001,1,1971/11/16,306,B
+07DA001,1,1971/11/17,300,B
+07DA001,1,1971/11/18,281,B
+07DA001,1,1971/11/19,280,B
+07DA001,1,1971/11/20,279,B
+07DA001,1,1971/11/21,279,B
+07DA001,1,1971/11/22,283,B
+07DA001,1,1971/11/23,283,B
+07DA001,1,1971/11/24,282,B
+07DA001,1,1971/11/25,241,B
+07DA001,1,1971/11/26,247,B
+07DA001,1,1971/11/27,245,B
+07DA001,1,1971/11/28,233,B
+07DA001,1,1971/11/29,249,B
+07DA001,1,1971/11/30,247,B
+07DA001,1,1971/12/01,244,B
+07DA001,1,1971/12/02,236,B
+07DA001,1,1971/12/03,231,B
+07DA001,1,1971/12/04,196,B
+07DA001,1,1971/12/05,182,B
+07DA001,1,1971/12/06,171,B
+07DA001,1,1971/12/07,157,B
+07DA001,1,1971/12/08,162,B
+07DA001,1,1971/12/09,176,B
+07DA001,1,1971/12/10,186,B
+07DA001,1,1971/12/11,184,B
+07DA001,1,1971/12/12,178,B
+07DA001,1,1971/12/13,175,B
+07DA001,1,1971/12/14,183,B
+07DA001,1,1971/12/15,178,B
+07DA001,1,1971/12/16,166,B
+07DA001,1,1971/12/17,162,B
+07DA001,1,1971/12/18,165,B
+07DA001,1,1971/12/19,164,B
+07DA001,1,1971/12/20,167,B
+07DA001,1,1971/12/21,164,B
+07DA001,1,1971/12/22,164,B
+07DA001,1,1971/12/23,167,B
+07DA001,1,1971/12/24,165,B
+07DA001,1,1971/12/25,164,B
+07DA001,1,1971/12/26,167,B
+07DA001,1,1971/12/27,169,B
+07DA001,1,1971/12/28,172,B
+07DA001,1,1971/12/29,175,B
+07DA001,1,1971/12/30,177,B
+07DA001,1,1971/12/31,180,B
+07DA001,1,1972/01/01,182,B
+07DA001,1,1972/01/02,185,B
+07DA001,1,1972/01/03,188,B
+07DA001,1,1972/01/04,190,B
+07DA001,1,1972/01/05,193,B
+07DA001,1,1972/01/06,195,B
+07DA001,1,1972/01/07,198,B
+07DA001,1,1972/01/08,201,B
+07DA001,1,1972/01/09,203,B
+07DA001,1,1972/01/10,206,B
+07DA001,1,1972/01/11,205,B
+07DA001,1,1972/01/12,204,B
+07DA001,1,1972/01/13,203,B
+07DA001,1,1972/01/14,202,B
+07DA001,1,1972/01/15,201,B
+07DA001,1,1972/01/16,200,B
+07DA001,1,1972/01/17,199,B
+07DA001,1,1972/01/18,199,B
+07DA001,1,1972/01/19,198,B
+07DA001,1,1972/01/20,197,B
+07DA001,1,1972/01/21,196,B
+07DA001,1,1972/01/22,195,B
+07DA001,1,1972/01/23,194,B
+07DA001,1,1972/01/24,193,B
+07DA001,1,1972/01/25,192,B
+07DA001,1,1972/01/26,191,B
+07DA001,1,1972/01/27,190,B
+07DA001,1,1972/01/28,189,B
+07DA001,1,1972/01/29,189,B
+07DA001,1,1972/01/30,188,B
+07DA001,1,1972/01/31,187,B
+07DA001,1,1972/02/01,186,B
+07DA001,1,1972/02/02,185,B
+07DA001,1,1972/02/03,184,B
+07DA001,1,1972/02/04,183,B
+07DA001,1,1972/02/05,182,B
+07DA001,1,1972/02/06,181,B
+07DA001,1,1972/02/07,180,B
+07DA001,1,1972/02/08,180,B
+07DA001,1,1972/02/09,178,B
+07DA001,1,1972/02/10,178,B
+07DA001,1,1972/02/11,177,B
+07DA001,1,1972/02/12,177,B
+07DA001,1,1972/02/13,171,B
+07DA001,1,1972/02/14,172,B
+07DA001,1,1972/02/15,178,B
+07DA001,1,1972/02/16,169,B
+07DA001,1,1972/02/17,165,B
+07DA001,1,1972/02/18,167,B
+07DA001,1,1972/02/19,168,B
+07DA001,1,1972/02/20,167,B
+07DA001,1,1972/02/21,166,B
+07DA001,1,1972/02/22,166,B
+07DA001,1,1972/02/23,165,B
+07DA001,1,1972/02/24,162,B
+07DA001,1,1972/02/25,158,B
+07DA001,1,1972/02/26,163,B
+07DA001,1,1972/02/27,159,B
+07DA001,1,1972/02/28,156,B
+07DA001,1,1972/02/29,155,B
+07DA001,1,1972/03/01,157,B
+07DA001,1,1972/03/02,156,B
+07DA001,1,1972/03/03,155,B
+07DA001,1,1972/03/04,153,B
+07DA001,1,1972/03/05,157,B
+07DA001,1,1972/03/06,160,B
+07DA001,1,1972/03/07,164,B
+07DA001,1,1972/03/08,167,B
+07DA001,1,1972/03/09,170,B
+07DA001,1,1972/03/10,174,B
+07DA001,1,1972/03/11,177,B
+07DA001,1,1972/03/12,180,B
+07DA001,1,1972/03/13,184,B
+07DA001,1,1972/03/14,187,B
+07DA001,1,1972/03/15,191,B
+07DA001,1,1972/03/16,194,B
+07DA001,1,1972/03/17,197,B
+07DA001,1,1972/03/18,201,B
+07DA001,1,1972/03/19,204,B
+07DA001,1,1972/03/20,208,B
+07DA001,1,1972/03/21,211,B
+07DA001,1,1972/03/22,214,B
+07DA001,1,1972/03/23,217,B
+07DA001,1,1972/03/24,221,B
+07DA001,1,1972/03/25,224,B
+07DA001,1,1972/03/26,228,B
+07DA001,1,1972/03/27,231,B
+07DA001,1,1972/03/28,234,B
+07DA001,1,1972/03/29,238,B
+07DA001,1,1972/03/30,241,B
+07DA001,1,1972/03/31,245,B
+07DA001,1,1972/04/01,248,B
+07DA001,1,1972/04/02,251,B
+07DA001,1,1972/04/03,255,B
+07DA001,1,1972/04/04,258,B
+07DA001,1,1972/04/05,261,B
+07DA001,1,1972/04/06,265,B
+07DA001,1,1972/04/07,268,B
+07DA001,1,1972/04/08,286,B
+07DA001,1,1972/04/09,300,B
+07DA001,1,1972/04/10,309,B
+07DA001,1,1972/04/11,326,B
+07DA001,1,1972/04/12,309,B
+07DA001,1,1972/04/13,289,B
+07DA001,1,1972/04/14,439,B
+07DA001,1,1972/04/15,428,B
+07DA001,1,1972/04/16,413,B
+07DA001,1,1972/04/17,479,B
+07DA001,1,1972/04/18,606,B
+07DA001,1,1972/04/19,651,B
+07DA001,1,1972/04/20,674,B
+07DA001,1,1972/04/21,711,B
+07DA001,1,1972/04/22,753,B
+07DA001,1,1972/04/23,779,B
+07DA001,1,1972/04/24,804,B
+07DA001,1,1972/04/25,711,B
+07DA001,1,1972/04/26,739,B
+07DA001,1,1972/04/27,838,B
+07DA001,1,1972/04/28,864,B
+07DA001,1,1972/04/29,991,B
+07DA001,1,1972/04/30,1320,B
+07DA001,1,1972/05/01,1610,B
+07DA001,1,1972/05/02,1840,B
+07DA001,1,1972/05/03,1900,B
+07DA001,1,1972/05/04,1930,B
+07DA001,1,1972/05/05,1910,B
+07DA001,1,1972/05/06,1900,B
+07DA001,1,1972/05/07,1880,B
+07DA001,1,1972/05/08,1840,A
+07DA001,1,1972/05/09,1840,
+07DA001,1,1972/05/10,1790,
+07DA001,1,1972/05/11,1730,
+07DA001,1,1972/05/12,1660,
+07DA001,1,1972/05/13,1600,
+07DA001,1,1972/05/14,1570,
+07DA001,1,1972/05/15,1550,
+07DA001,1,1972/05/16,1510,
+07DA001,1,1972/05/17,1490,
+07DA001,1,1972/05/18,1500,
+07DA001,1,1972/05/19,1500,
+07DA001,1,1972/05/20,1510,
+07DA001,1,1972/05/21,1550,
+07DA001,1,1972/05/22,1930,
+07DA001,1,1972/05/23,2010,
+07DA001,1,1972/05/24,1850,
+07DA001,1,1972/05/25,1750,
+07DA001,1,1972/05/26,1760,
+07DA001,1,1972/05/27,1790,
+07DA001,1,1972/05/28,1730,
+07DA001,1,1972/05/29,1610,
+07DA001,1,1972/05/30,1480,
+07DA001,1,1972/05/31,1360,
+07DA001,1,1972/06/01,1290,
+07DA001,1,1972/06/02,1260,
+07DA001,1,1972/06/03,1340,
+07DA001,1,1972/06/04,1480,
+07DA001,1,1972/06/05,1640,
+07DA001,1,1972/06/06,1720,
+07DA001,1,1972/06/07,1580,
+07DA001,1,1972/06/08,1400,
+07DA001,1,1972/06/09,1290,
+07DA001,1,1972/06/10,1230,
+07DA001,1,1972/06/11,1220,
+07DA001,1,1972/06/12,1290,
+07DA001,1,1972/06/13,1370,
+07DA001,1,1972/06/14,1440,
+07DA001,1,1972/06/15,1830,
+07DA001,1,1972/06/16,2490,
+07DA001,1,1972/06/17,2720,
+07DA001,1,1972/06/18,2460,
+07DA001,1,1972/06/19,2250,
+07DA001,1,1972/06/20,2150,
+07DA001,1,1972/06/21,2180,
+07DA001,1,1972/06/22,2130,
+07DA001,1,1972/06/23,1960,
+07DA001,1,1972/06/24,1800,
+07DA001,1,1972/06/25,1710,
+07DA001,1,1972/06/26,1800,
+07DA001,1,1972/06/27,1900,
+07DA001,1,1972/06/28,2080,
+07DA001,1,1972/06/29,3280,
+07DA001,1,1972/06/30,3620,
+07DA001,1,1972/07/01,3060,
+07DA001,1,1972/07/02,2600,
+07DA001,1,1972/07/03,2400,
+07DA001,1,1972/07/04,2290,
+07DA001,1,1972/07/05,2060,
+07DA001,1,1972/07/06,1820,
+07DA001,1,1972/07/07,1630,
+07DA001,1,1972/07/08,1490,
+07DA001,1,1972/07/09,1420,
+07DA001,1,1972/07/10,1400,
+07DA001,1,1972/07/11,1390,
+07DA001,1,1972/07/12,1410,
+07DA001,1,1972/07/13,1530,
+07DA001,1,1972/07/14,1590,
+07DA001,1,1972/07/15,1530,
+07DA001,1,1972/07/16,1400,
+07DA001,1,1972/07/17,1290,
+07DA001,1,1972/07/18,1210,
+07DA001,1,1972/07/19,1190,
+07DA001,1,1972/07/20,1180,
+07DA001,1,1972/07/21,1140,
+07DA001,1,1972/07/22,1100,
+07DA001,1,1972/07/23,1070,
+07DA001,1,1972/07/24,1080,
+07DA001,1,1972/07/25,1060,
+07DA001,1,1972/07/26,1010,
+07DA001,1,1972/07/27,980,
+07DA001,1,1972/07/28,963,
+07DA001,1,1972/07/29,985,
+07DA001,1,1972/07/30,1100,
+07DA001,1,1972/07/31,1160,
+07DA001,1,1972/08/01,1140,
+07DA001,1,1972/08/02,1130,
+07DA001,1,1972/08/03,1100,
+07DA001,1,1972/08/04,1080,
+07DA001,1,1972/08/05,1040,
+07DA001,1,1972/08/06,1030,
+07DA001,1,1972/08/07,1010,
+07DA001,1,1972/08/08,974,
+07DA001,1,1972/08/09,960,
+07DA001,1,1972/08/10,946,
+07DA001,1,1972/08/11,923,
+07DA001,1,1972/08/12,915,
+07DA001,1,1972/08/13,946,
+07DA001,1,1972/08/14,1000,
+07DA001,1,1972/08/15,1050,
+07DA001,1,1972/08/16,1070,
+07DA001,1,1972/08/17,1030,
+07DA001,1,1972/08/18,968,
+07DA001,1,1972/08/19,912,
+07DA001,1,1972/08/20,864,
+07DA001,1,1972/08/21,824,
+07DA001,1,1972/08/22,813,
+07DA001,1,1972/08/23,835,
+07DA001,1,1972/08/24,810,
+07DA001,1,1972/08/25,770,
+07DA001,1,1972/08/26,731,
+07DA001,1,1972/08/27,705,
+07DA001,1,1972/08/28,699,
+07DA001,1,1972/08/29,711,
+07DA001,1,1972/08/30,688,
+07DA001,1,1972/08/31,668,
+07DA001,1,1972/09/01,665,
+07DA001,1,1972/09/02,660,
+07DA001,1,1972/09/03,660,
+07DA001,1,1972/09/04,660,
+07DA001,1,1972/09/05,680,
+07DA001,1,1972/09/06,688,
+07DA001,1,1972/09/07,646,
+07DA001,1,1972/09/08,606,
+07DA001,1,1972/09/09,583,
+07DA001,1,1972/09/10,569,
+07DA001,1,1972/09/11,566,
+07DA001,1,1972/09/12,614,
+07DA001,1,1972/09/13,643,
+07DA001,1,1972/09/14,634,
+07DA001,1,1972/09/15,609,
+07DA001,1,1972/09/16,600,
+07DA001,1,1972/09/17,597,
+07DA001,1,1972/09/18,589,
+07DA001,1,1972/09/19,575,
+07DA001,1,1972/09/20,572,
+07DA001,1,1972/09/21,558,
+07DA001,1,1972/09/22,558,
+07DA001,1,1972/09/23,566,E
+07DA001,1,1972/09/24,575,A
+07DA001,1,1972/09/25,572,
+07DA001,1,1972/09/26,572,
+07DA001,1,1972/09/27,572,
+07DA001,1,1972/09/28,572,
+07DA001,1,1972/09/29,566,
+07DA001,1,1972/09/30,558,
+07DA001,1,1972/10/01,552,
+07DA001,1,1972/10/02,547,
+07DA001,1,1972/10/03,541,
+07DA001,1,1972/10/04,535,
+07DA001,1,1972/10/05,530,A
+07DA001,1,1972/10/06,572,E
+07DA001,1,1972/10/07,614,E
+07DA001,1,1972/10/08,657,
+07DA001,1,1972/10/09,657,
+07DA001,1,1972/10/10,657,
+07DA001,1,1972/10/11,646,
+07DA001,1,1972/10/12,631,
+07DA001,1,1972/10/13,614,
+07DA001,1,1972/10/14,614,
+07DA001,1,1972/10/15,614,
+07DA001,1,1972/10/16,614,
+07DA001,1,1972/10/17,614,
+07DA001,1,1972/10/18,614,
+07DA001,1,1972/10/19,614,
+07DA001,1,1972/10/20,614,
+07DA001,1,1972/10/21,592,
+07DA001,1,1972/10/22,578,
+07DA001,1,1972/10/23,586,
+07DA001,1,1972/10/24,578,
+07DA001,1,1972/10/25,580,
+07DA001,1,1972/10/26,569,
+07DA001,1,1972/10/27,532,
+07DA001,1,1972/10/28,527,
+07DA001,1,1972/10/29,541,
+07DA001,1,1972/10/30,552,
+07DA001,1,1972/10/31,538,
+07DA001,1,1972/11/01,521,
+07DA001,1,1972/11/02,538,
+07DA001,1,1972/11/03,513,
+07DA001,1,1972/11/04,521,
+07DA001,1,1972/11/05,504,
+07DA001,1,1972/11/06,530,B
+07DA001,1,1972/11/07,479,B
+07DA001,1,1972/11/08,439,B
+07DA001,1,1972/11/09,462,B
+07DA001,1,1972/11/10,436,B
+07DA001,1,1972/11/11,396,B
+07DA001,1,1972/11/12,368,B
+07DA001,1,1972/11/13,340,B
+07DA001,1,1972/11/14,323,B
+07DA001,1,1972/11/15,309,B
+07DA001,1,1972/11/16,286,B
+07DA001,1,1972/11/17,281,B
+07DA001,1,1972/11/18,289,B
+07DA001,1,1972/11/19,306,B
+07DA001,1,1972/11/20,272,B
+07DA001,1,1972/11/21,255,B
+07DA001,1,1972/11/22,214,B
+07DA001,1,1972/11/23,188,B
+07DA001,1,1972/11/24,186,B
+07DA001,1,1972/11/25,173,B
+07DA001,1,1972/11/26,163,B
+07DA001,1,1972/11/27,168,B
+07DA001,1,1972/11/28,147,B
+07DA001,1,1972/11/29,152,B
+07DA001,1,1972/11/30,201,B
+07DA001,1,1972/12/01,199,B
+07DA001,1,1972/12/02,167,B
+07DA001,1,1972/12/03,169,B
+07DA001,1,1972/12/04,165,B
+07DA001,1,1972/12/05,181,B
+07DA001,1,1972/12/06,174,B
+07DA001,1,1972/12/07,192,B
+07DA001,1,1972/12/08,208,B
+07DA001,1,1972/12/09,191,B
+07DA001,1,1972/12/10,172,B
+07DA001,1,1972/12/11,154,B
+07DA001,1,1972/12/12,160,B
+07DA001,1,1972/12/13,163,B
+07DA001,1,1972/12/14,157,B
+07DA001,1,1972/12/15,156,B
+07DA001,1,1972/12/16,154,B
+07DA001,1,1972/12/17,151,B
+07DA001,1,1972/12/18,157,B
+07DA001,1,1972/12/19,161,B
+07DA001,1,1972/12/20,171,B
+07DA001,1,1972/12/21,186,B
+07DA001,1,1972/12/22,197,B
+07DA001,1,1972/12/23,206,B
+07DA001,1,1972/12/24,211,B
+07DA001,1,1972/12/25,217,B
+07DA001,1,1972/12/26,221,B
+07DA001,1,1972/12/27,221,B
+07DA001,1,1972/12/28,219,B
+07DA001,1,1972/12/29,217,B
+07DA001,1,1972/12/30,219,B
+07DA001,1,1972/12/31,227,B
+07DA001,1,1973/01/01,232,B
+07DA001,1,1973/01/02,234,B
+07DA001,1,1973/01/03,229,B
+07DA001,1,1973/01/04,223,B
+07DA001,1,1973/01/05,213,B
+07DA001,1,1973/01/06,209,B
+07DA001,1,1973/01/07,206,B
+07DA001,1,1973/01/08,208,B
+07DA001,1,1973/01/09,199,B
+07DA001,1,1973/01/10,191,B
+07DA001,1,1973/01/11,188,B
+07DA001,1,1973/01/12,188,B
+07DA001,1,1973/01/13,187,B
+07DA001,1,1973/01/14,186,B
+07DA001,1,1973/01/15,185,B
+07DA001,1,1973/01/16,179,B
+07DA001,1,1973/01/17,174,B
+07DA001,1,1973/01/18,173,B
+07DA001,1,1973/01/19,172,B
+07DA001,1,1973/01/20,172,B
+07DA001,1,1973/01/21,172,B
+07DA001,1,1973/01/22,174,B
+07DA001,1,1973/01/23,176,B
+07DA001,1,1973/01/24,178,B
+07DA001,1,1973/01/25,178,B
+07DA001,1,1973/01/26,178,B
+07DA001,1,1973/01/27,182,B
+07DA001,1,1973/01/28,187,B
+07DA001,1,1973/01/29,187,B
+07DA001,1,1973/01/30,187,B
+07DA001,1,1973/01/31,186,B
+07DA001,1,1973/02/01,185,B
+07DA001,1,1973/02/02,184,B
+07DA001,1,1973/02/03,183,B
+07DA001,1,1973/02/04,182,B
+07DA001,1,1973/02/05,181,B
+07DA001,1,1973/02/06,180,B
+07DA001,1,1973/02/07,179,B
+07DA001,1,1973/02/08,178,B
+07DA001,1,1973/02/09,177,B
+07DA001,1,1973/02/10,176,B
+07DA001,1,1973/02/11,175,B
+07DA001,1,1973/02/12,174,B
+07DA001,1,1973/02/13,173,B
+07DA001,1,1973/02/14,172,B
+07DA001,1,1973/02/15,171,B
+07DA001,1,1973/02/16,170,B
+07DA001,1,1973/02/17,168,B
+07DA001,1,1973/02/18,168,B
+07DA001,1,1973/02/19,167,B
+07DA001,1,1973/02/20,165,B
+07DA001,1,1973/02/21,165,B
+07DA001,1,1973/02/22,163,B
+07DA001,1,1973/02/23,162,B
+07DA001,1,1973/02/24,161,B
+07DA001,1,1973/02/25,160,B
+07DA001,1,1973/02/26,159,B
+07DA001,1,1973/02/27,160,B
+07DA001,1,1973/02/28,161,B
+07DA001,1,1973/03/01,161,B
+07DA001,1,1973/03/02,162,B
+07DA001,1,1973/03/03,162,B
+07DA001,1,1973/03/04,163,B
+07DA001,1,1973/03/05,164,B
+07DA001,1,1973/03/06,164,B
+07DA001,1,1973/03/07,165,B
+07DA001,1,1973/03/08,166,B
+07DA001,1,1973/03/09,166,B
+07DA001,1,1973/03/10,167,B
+07DA001,1,1973/03/11,167,B
+07DA001,1,1973/03/12,168,B
+07DA001,1,1973/03/13,169,B
+07DA001,1,1973/03/14,169,B
+07DA001,1,1973/03/15,170,B
+07DA001,1,1973/03/16,171,B
+07DA001,1,1973/03/17,171,B
+07DA001,1,1973/03/18,172,B
+07DA001,1,1973/03/19,172,B
+07DA001,1,1973/03/20,173,B
+07DA001,1,1973/03/21,174,B
+07DA001,1,1973/03/22,174,B
+07DA001,1,1973/03/23,175,B
+07DA001,1,1973/03/24,176,B
+07DA001,1,1973/03/25,176,B
+07DA001,1,1973/03/26,177,B
+07DA001,1,1973/03/27,178,B
+07DA001,1,1973/03/28,178,B
+07DA001,1,1973/03/29,179,B
+07DA001,1,1973/03/30,180,B
+07DA001,1,1973/03/31,180,B
+07DA001,1,1973/04/01,181,B
+07DA001,1,1973/04/02,182,B
+07DA001,1,1973/04/03,182,B
+07DA001,1,1973/04/04,182,B
+07DA001,1,1973/04/05,184,B
+07DA001,1,1973/04/06,184,B
+07DA001,1,1973/04/07,184,B
+07DA001,1,1973/04/08,187,B
+07DA001,1,1973/04/09,193,B
+07DA001,1,1973/04/10,201,B
+07DA001,1,1973/04/11,209,B
+07DA001,1,1973/04/12,219,B
+07DA001,1,1973/04/13,232,B
+07DA001,1,1973/04/14,243,B
+07DA001,1,1973/04/15,245,B
+07DA001,1,1973/04/16,249,B
+07DA001,1,1973/04/17,251,B
+07DA001,1,1973/04/18,286,B
+07DA001,1,1973/04/19,311,B
+07DA001,1,1973/04/20,382,B
+07DA001,1,1973/04/21,453,B
+07DA001,1,1973/04/22,1010,B
+07DA001,1,1973/04/23,980,B
+07DA001,1,1973/04/24,957,B
+07DA001,1,1973/04/25,932,B
+07DA001,1,1973/04/26,895,B
+07DA001,1,1973/04/27,920,B
+07DA001,1,1973/04/28,895,B
+07DA001,1,1973/04/29,895,B
+07DA001,1,1973/04/30,912,
+07DA001,1,1973/05/01,878,
+07DA001,1,1973/05/02,889,
+07DA001,1,1973/05/03,920,
+07DA001,1,1973/05/04,926,
+07DA001,1,1973/05/05,906,
+07DA001,1,1973/05/06,895,
+07DA001,1,1973/05/07,895,
+07DA001,1,1973/05/08,937,
+07DA001,1,1973/05/09,1060,
+07DA001,1,1973/05/10,1150,
+07DA001,1,1973/05/11,1200,
+07DA001,1,1973/05/12,1210,
+07DA001,1,1973/05/13,1220,
+07DA001,1,1973/05/14,1180,
+07DA001,1,1973/05/15,1100,
+07DA001,1,1973/05/16,1040,
+07DA001,1,1973/05/17,988,
+07DA001,1,1973/05/18,946,
+07DA001,1,1973/05/19,929,
+07DA001,1,1973/05/20,946,
+07DA001,1,1973/05/21,1050,
+07DA001,1,1973/05/22,1250,
+07DA001,1,1973/05/23,1390,
+07DA001,1,1973/05/24,1450,
+07DA001,1,1973/05/25,1460,
+07DA001,1,1973/05/26,1360,
+07DA001,1,1973/05/27,1240,
+07DA001,1,1973/05/28,1170,
+07DA001,1,1973/05/29,1140,
+07DA001,1,1973/05/30,1320,
+07DA001,1,1973/05/31,1560,
+07DA001,1,1973/06/01,1780,
+07DA001,1,1973/06/02,1860,
+07DA001,1,1973/06/03,1820,
+07DA001,1,1973/06/04,1770,
+07DA001,1,1973/06/05,1780,
+07DA001,1,1973/06/06,1740,
+07DA001,1,1973/06/07,1630,
+07DA001,1,1973/06/08,1610,
+07DA001,1,1973/06/09,1580,
+07DA001,1,1973/06/10,1570,
+07DA001,1,1973/06/11,1590,
+07DA001,1,1973/06/12,1680,
+07DA001,1,1973/06/13,1700,
+07DA001,1,1973/06/14,1590,
+07DA001,1,1973/06/15,1530,
+07DA001,1,1973/06/16,1870,
+07DA001,1,1973/06/17,2100,
+07DA001,1,1973/06/18,2200,
+07DA001,1,1973/06/19,2330,
+07DA001,1,1973/06/20,2440,
+07DA001,1,1973/06/21,2340,
+07DA001,1,1973/06/22,2140,
+07DA001,1,1973/06/23,1980,
+07DA001,1,1973/06/24,1860,
+07DA001,1,1973/06/25,1750,
+07DA001,1,1973/06/26,1690,
+07DA001,1,1973/06/27,1700,
+07DA001,1,1973/06/28,2030,
+07DA001,1,1973/06/29,2510,
+07DA001,1,1973/06/30,2420,
+07DA001,1,1973/07/01,2170,
+07DA001,1,1973/07/02,1970,
+07DA001,1,1973/07/03,1860,
+07DA001,1,1973/07/04,1770,
+07DA001,1,1973/07/05,1670,
+07DA001,1,1973/07/06,1560,
+07DA001,1,1973/07/07,1460,
+07DA001,1,1973/07/08,1380,
+07DA001,1,1973/07/09,1330,
+07DA001,1,1973/07/10,1360,
+07DA001,1,1973/07/11,1400,
+07DA001,1,1973/07/12,1370,
+07DA001,1,1973/07/13,1330,
+07DA001,1,1973/07/14,1290,
+07DA001,1,1973/07/15,1220,
+07DA001,1,1973/07/16,1210,
+07DA001,1,1973/07/17,1250,
+07DA001,1,1973/07/18,1250,
+07DA001,1,1973/07/19,1190,
+07DA001,1,1973/07/20,1140,
+07DA001,1,1973/07/21,1150,
+07DA001,1,1973/07/22,1180,
+07DA001,1,1973/07/23,1160,
+07DA001,1,1973/07/24,1120,
+07DA001,1,1973/07/25,1090,
+07DA001,1,1973/07/26,1090,
+07DA001,1,1973/07/27,1120,
+07DA001,1,1973/07/28,1150,
+07DA001,1,1973/07/29,1140,
+07DA001,1,1973/07/30,1100,
+07DA001,1,1973/07/31,1050,
+07DA001,1,1973/08/01,1000,
+07DA001,1,1973/08/02,974,
+07DA001,1,1973/08/03,997,
+07DA001,1,1973/08/04,1000,
+07DA001,1,1973/08/05,1010,
+07DA001,1,1973/08/06,1150,
+07DA001,1,1973/08/07,1480,
+07DA001,1,1973/08/08,1600,
+07DA001,1,1973/08/09,1630,
+07DA001,1,1973/08/10,1670,
+07DA001,1,1973/08/11,1740,
+07DA001,1,1973/08/12,1730,
+07DA001,1,1973/08/13,1630,
+07DA001,1,1973/08/14,1510,
+07DA001,1,1973/08/15,1430,
+07DA001,1,1973/08/16,1390,
+07DA001,1,1973/08/17,1330,
+07DA001,1,1973/08/18,1260,
+07DA001,1,1973/08/19,1190,
+07DA001,1,1973/08/20,1150,
+07DA001,1,1973/08/21,1140,
+07DA001,1,1973/08/22,1140,
+07DA001,1,1973/08/23,1140,
+07DA001,1,1973/08/24,1100,
+07DA001,1,1973/08/25,1040,
+07DA001,1,1973/08/26,974,
+07DA001,1,1973/08/27,926,
+07DA001,1,1973/08/28,903,
+07DA001,1,1973/08/29,898,
+07DA001,1,1973/08/30,875,
+07DA001,1,1973/08/31,858,
+07DA001,1,1973/09/01,847,
+07DA001,1,1973/09/02,835,
+07DA001,1,1973/09/03,824,
+07DA001,1,1973/09/04,801,
+07DA001,1,1973/09/05,770,
+07DA001,1,1973/09/06,750,
+07DA001,1,1973/09/07,731,
+07DA001,1,1973/09/08,708,
+07DA001,1,1973/09/09,682,
+07DA001,1,1973/09/10,660,
+07DA001,1,1973/09/11,651,
+07DA001,1,1973/09/12,671,
+07DA001,1,1973/09/13,714,
+07DA001,1,1973/09/14,810,
+07DA001,1,1973/09/15,898,
+07DA001,1,1973/09/16,920,
+07DA001,1,1973/09/17,937,
+07DA001,1,1973/09/18,937,
+07DA001,1,1973/09/19,932,
+07DA001,1,1973/09/20,900,
+07DA001,1,1973/09/21,852,
+07DA001,1,1973/09/22,810,
+07DA001,1,1973/09/23,776,
+07DA001,1,1973/09/24,762,
+07DA001,1,1973/09/25,748,
+07DA001,1,1973/09/26,750,
+07DA001,1,1973/09/27,725,
+07DA001,1,1973/09/28,716,
+07DA001,1,1973/09/29,711,
+07DA001,1,1973/09/30,708,
+07DA001,1,1973/10/01,708,
+07DA001,1,1973/10/02,714,
+07DA001,1,1973/10/03,725,
+07DA001,1,1973/10/04,711,
+07DA001,1,1973/10/05,711,
+07DA001,1,1973/10/06,776,
+07DA001,1,1973/10/07,835,
+07DA001,1,1973/10/08,867,
+07DA001,1,1973/10/09,883,
+07DA001,1,1973/10/10,886,
+07DA001,1,1973/10/11,878,
+07DA001,1,1973/10/12,878,
+07DA001,1,1973/10/13,867,
+07DA001,1,1973/10/14,855,
+07DA001,1,1973/10/15,835,
+07DA001,1,1973/10/16,813,
+07DA001,1,1973/10/17,799,
+07DA001,1,1973/10/18,787,
+07DA001,1,1973/10/19,776,
+07DA001,1,1973/10/20,756,
+07DA001,1,1973/10/21,745,
+07DA001,1,1973/10/22,731,
+07DA001,1,1973/10/23,719,
+07DA001,1,1973/10/24,722,
+07DA001,1,1973/10/25,736,
+07DA001,1,1973/10/26,756,
+07DA001,1,1973/10/27,776,
+07DA001,1,1973/10/28,804,
+07DA001,1,1973/10/29,810,
+07DA001,1,1973/10/30,818,
+07DA001,1,1973/10/31,827,
+07DA001,1,1973/11/01,830,
+07DA001,1,1973/11/02,830,
+07DA001,1,1973/11/03,796,
+07DA001,1,1973/11/04,733,
+07DA001,1,1973/11/05,691,B
+07DA001,1,1973/11/06,654,B
+07DA001,1,1973/11/07,614,B
+07DA001,1,1973/11/08,578,B
+07DA001,1,1973/11/09,538,B
+07DA001,1,1973/11/10,501,B
+07DA001,1,1973/11/11,464,B
+07DA001,1,1973/11/12,425,B
+07DA001,1,1973/11/13,388,B
+07DA001,1,1973/11/14,348,B
+07DA001,1,1973/11/15,311,B
+07DA001,1,1973/11/16,289,B
+07DA001,1,1973/11/17,286,B
+07DA001,1,1973/11/18,286,B
+07DA001,1,1973/11/19,289,B
+07DA001,1,1973/11/20,294,B
+07DA001,1,1973/11/21,303,B
+07DA001,1,1973/11/22,311,B
+07DA001,1,1973/11/23,323,B
+07DA001,1,1973/11/24,331,B
+07DA001,1,1973/11/25,334,B
+07DA001,1,1973/11/26,337,B
+07DA001,1,1973/11/27,337,B
+07DA001,1,1973/11/28,334,B
+07DA001,1,1973/11/29,334,B
+07DA001,1,1973/11/30,334,B
+07DA001,1,1973/12/01,331,B
+07DA001,1,1973/12/02,328,B
+07DA001,1,1973/12/03,328,B
+07DA001,1,1973/12/04,326,B
+07DA001,1,1973/12/05,323,B
+07DA001,1,1973/12/06,320,B
+07DA001,1,1973/12/07,317,B
+07DA001,1,1973/12/08,314,B
+07DA001,1,1973/12/09,311,B
+07DA001,1,1973/12/10,309,B
+07DA001,1,1973/12/11,306,B
+07DA001,1,1973/12/12,303,B
+07DA001,1,1973/12/13,300,B
+07DA001,1,1973/12/14,297,B
+07DA001,1,1973/12/15,294,B
+07DA001,1,1973/12/16,292,B
+07DA001,1,1973/12/17,289,B
+07DA001,1,1973/12/18,286,B
+07DA001,1,1973/12/19,283,B
+07DA001,1,1973/12/20,282,B
+07DA001,1,1973/12/21,280,B
+07DA001,1,1973/12/22,278,B
+07DA001,1,1973/12/23,275,B
+07DA001,1,1973/12/24,272,B
+07DA001,1,1973/12/25,269,B
+07DA001,1,1973/12/26,266,B
+07DA001,1,1973/12/27,263,B
+07DA001,1,1973/12/28,261,B
+07DA001,1,1973/12/29,259,B
+07DA001,1,1973/12/30,258,B
+07DA001,1,1973/12/31,255,B
+07DA001,1,1974/01/01,254,B
+07DA001,1,1974/01/02,252,B
+07DA001,1,1974/01/03,251,B
+07DA001,1,1974/01/04,250,B
+07DA001,1,1974/01/05,249,B
+07DA001,1,1974/01/06,247,B
+07DA001,1,1974/01/07,246,B
+07DA001,1,1974/01/08,245,B
+07DA001,1,1974/01/09,244,B
+07DA001,1,1974/01/10,243,B
+07DA001,1,1974/01/11,241,B
+07DA001,1,1974/01/12,240,B
+07DA001,1,1974/01/13,239,B
+07DA001,1,1974/01/14,238,B
+07DA001,1,1974/01/15,236,B
+07DA001,1,1974/01/16,235,B
+07DA001,1,1974/01/17,234,B
+07DA001,1,1974/01/18,233,B
+07DA001,1,1974/01/19,231,B
+07DA001,1,1974/01/20,230,B
+07DA001,1,1974/01/21,230,B
+07DA001,1,1974/01/22,227,B
+07DA001,1,1974/01/23,225,B
+07DA001,1,1974/01/24,228,B
+07DA001,1,1974/01/25,230,B
+07DA001,1,1974/01/26,233,B
+07DA001,1,1974/01/27,234,B
+07DA001,1,1974/01/28,234,B
+07DA001,1,1974/01/29,236,B
+07DA001,1,1974/01/30,239,B
+07DA001,1,1974/01/31,240,B
+07DA001,1,1974/02/01,242,B
+07DA001,1,1974/02/02,241,B
+07DA001,1,1974/02/03,240,B
+07DA001,1,1974/02/04,237,B
+07DA001,1,1974/02/05,235,B
+07DA001,1,1974/02/06,233,B
+07DA001,1,1974/02/07,228,B
+07DA001,1,1974/02/08,224,B
+07DA001,1,1974/02/09,221,B
+07DA001,1,1974/02/10,216,B
+07DA001,1,1974/02/11,212,B
+07DA001,1,1974/02/12,206,B
+07DA001,1,1974/02/13,203,B
+07DA001,1,1974/02/14,201,B
+07DA001,1,1974/02/15,202,B
+07DA001,1,1974/02/16,202,B
+07DA001,1,1974/02/17,204,B
+07DA001,1,1974/02/18,205,B
+07DA001,1,1974/02/19,203,B
+07DA001,1,1974/02/20,201,B
+07DA001,1,1974/02/21,199,B
+07DA001,1,1974/02/22,200,B
+07DA001,1,1974/02/23,202,B
+07DA001,1,1974/02/24,202,B
+07DA001,1,1974/02/25,202,B
+07DA001,1,1974/02/26,201,B
+07DA001,1,1974/02/27,201,B
+07DA001,1,1974/02/28,202,B
+07DA001,1,1974/03/01,202,B
+07DA001,1,1974/03/02,201,B
+07DA001,1,1974/03/03,200,B
+07DA001,1,1974/03/04,198,B
+07DA001,1,1974/03/05,196,B
+07DA001,1,1974/03/06,194,B
+07DA001,1,1974/03/07,192,B
+07DA001,1,1974/03/08,191,B
+07DA001,1,1974/03/09,192,B
+07DA001,1,1974/03/10,192,B
+07DA001,1,1974/03/11,191,B
+07DA001,1,1974/03/12,191,B
+07DA001,1,1974/03/13,191,B
+07DA001,1,1974/03/14,191,B
+07DA001,1,1974/03/15,189,B
+07DA001,1,1974/03/16,188,B
+07DA001,1,1974/03/17,187,B
+07DA001,1,1974/03/18,188,B
+07DA001,1,1974/03/19,187,B
+07DA001,1,1974/03/20,185,B
+07DA001,1,1974/03/21,184,B
+07DA001,1,1974/03/22,183,B
+07DA001,1,1974/03/23,183,B
+07DA001,1,1974/03/24,183,B
+07DA001,1,1974/03/25,184,B
+07DA001,1,1974/03/26,184,B
+07DA001,1,1974/03/27,183,B
+07DA001,1,1974/03/28,184,B
+07DA001,1,1974/03/29,184,B
+07DA001,1,1974/03/30,185,B
+07DA001,1,1974/03/31,186,B
+07DA001,1,1974/04/01,186,B
+07DA001,1,1974/04/02,185,B
+07DA001,1,1974/04/03,185,B
+07DA001,1,1974/04/04,185,B
+07DA001,1,1974/04/05,186,B
+07DA001,1,1974/04/06,187,B
+07DA001,1,1974/04/07,189,B
+07DA001,1,1974/04/08,194,B
+07DA001,1,1974/04/09,200,B
+07DA001,1,1974/04/10,211,B
+07DA001,1,1974/04/11,223,B
+07DA001,1,1974/04/12,236,B
+07DA001,1,1974/04/13,255,B
+07DA001,1,1974/04/14,278,B
+07DA001,1,1974/04/15,303,B
+07DA001,1,1974/04/16,391,B
+07DA001,1,1974/04/17,510,B
+07DA001,1,1974/04/18,677,B
+07DA001,1,1974/04/19,954,B
+07DA001,1,1974/04/20,1130,E
+07DA001,1,1974/04/21,1330,E
+07DA001,1,1974/04/22,1500,E
+07DA001,1,1974/04/23,1700,E
+07DA001,1,1974/04/24,1870,E
+07DA001,1,1974/04/25,2070,E
+07DA001,1,1974/04/26,2240,E
+07DA001,1,1974/04/27,2440,E
+07DA001,1,1974/04/28,2580,
+07DA001,1,1974/04/29,2750,
+07DA001,1,1974/04/30,2760,
+07DA001,1,1974/05/01,2740,
+07DA001,1,1974/05/02,2710,
+07DA001,1,1974/05/03,2590,
+07DA001,1,1974/05/04,2430,
+07DA001,1,1974/05/05,2290,
+07DA001,1,1974/05/06,2200,
+07DA001,1,1974/05/07,2070,
+07DA001,1,1974/05/08,2000,
+07DA001,1,1974/05/09,2000,
+07DA001,1,1974/05/10,2050,
+07DA001,1,1974/05/11,2100,
+07DA001,1,1974/05/12,2130,
+07DA001,1,1974/05/13,2160,
+07DA001,1,1974/05/14,2350,
+07DA001,1,1974/05/15,2490,
+07DA001,1,1974/05/16,2460,
+07DA001,1,1974/05/17,2320,
+07DA001,1,1974/05/18,2220,
+07DA001,1,1974/05/19,2140,
+07DA001,1,1974/05/20,2050,
+07DA001,1,1974/05/21,2000,
+07DA001,1,1974/05/22,1920,
+07DA001,1,1974/05/23,1840,
+07DA001,1,1974/05/24,1770,
+07DA001,1,1974/05/25,1710,
+07DA001,1,1974/05/26,1660,
+07DA001,1,1974/05/27,1630,
+07DA001,1,1974/05/28,1650,
+07DA001,1,1974/05/29,1660,
+07DA001,1,1974/05/30,1650,
+07DA001,1,1974/05/31,1620,
+07DA001,1,1974/06/01,1620,
+07DA001,1,1974/06/02,1610,
+07DA001,1,1974/06/03,1570,
+07DA001,1,1974/06/04,1510,
+07DA001,1,1974/06/05,1460,
+07DA001,1,1974/06/06,1410,
+07DA001,1,1974/06/07,1370,
+07DA001,1,1974/06/08,1340,
+07DA001,1,1974/06/09,1340,
+07DA001,1,1974/06/10,1350,
+07DA001,1,1974/06/11,1330,
+07DA001,1,1974/06/12,1310,
+07DA001,1,1974/06/13,1290,
+07DA001,1,1974/06/14,1270,
+07DA001,1,1974/06/15,1250,
+07DA001,1,1974/06/16,1200,
+07DA001,1,1974/06/17,1170,
+07DA001,1,1974/06/18,1270,
+07DA001,1,1974/06/19,1430,
+07DA001,1,1974/06/20,1500,
+07DA001,1,1974/06/21,1670,
+07DA001,1,1974/06/22,1820,
+07DA001,1,1974/06/23,1810,
+07DA001,1,1974/06/24,1770,
+07DA001,1,1974/06/25,1730,
+07DA001,1,1974/06/26,1750,
+07DA001,1,1974/06/27,1800,
+07DA001,1,1974/06/28,1870,
+07DA001,1,1974/06/29,1880,
+07DA001,1,1974/06/30,1790,
+07DA001,1,1974/07/01,1690,
+07DA001,1,1974/07/02,1600,
+07DA001,1,1974/07/03,1510,
+07DA001,1,1974/07/04,1390,
+07DA001,1,1974/07/05,1300,
+07DA001,1,1974/07/06,1370,
+07DA001,1,1974/07/07,1410,
+07DA001,1,1974/07/08,1340,
+07DA001,1,1974/07/09,1290,
+07DA001,1,1974/07/10,1270,
+07DA001,1,1974/07/11,1290,
+07DA001,1,1974/07/12,1320,
+07DA001,1,1974/07/13,1450,
+07DA001,1,1974/07/14,1750,
+07DA001,1,1974/07/15,2160,
+07DA001,1,1974/07/16,2810,
+07DA001,1,1974/07/17,2970,
+07DA001,1,1974/07/18,2710,
+07DA001,1,1974/07/19,2490,
+07DA001,1,1974/07/20,2370,
+07DA001,1,1974/07/21,2360,
+07DA001,1,1974/07/22,2230,
+07DA001,1,1974/07/23,2050,
+07DA001,1,1974/07/24,1970,
+07DA001,1,1974/07/25,1960,
+07DA001,1,1974/07/26,1840,
+07DA001,1,1974/07/27,1680,
+07DA001,1,1974/07/28,1570,
+07DA001,1,1974/07/29,1510,
+07DA001,1,1974/07/30,1440,
+07DA001,1,1974/07/31,1400,
+07DA001,1,1974/08/01,1370,
+07DA001,1,1974/08/02,1330,
+07DA001,1,1974/08/03,1310,
+07DA001,1,1974/08/04,1330,
+07DA001,1,1974/08/05,1350,
+07DA001,1,1974/08/06,1320,
+07DA001,1,1974/08/07,1260,
+07DA001,1,1974/08/08,1210,
+07DA001,1,1974/08/09,1190,
+07DA001,1,1974/08/10,1200,
+07DA001,1,1974/08/11,1210,
+07DA001,1,1974/08/12,1180,
+07DA001,1,1974/08/13,1090,
+07DA001,1,1974/08/14,1010,
+07DA001,1,1974/08/15,949,
+07DA001,1,1974/08/16,915,
+07DA001,1,1974/08/17,906,
+07DA001,1,1974/08/18,898,
+07DA001,1,1974/08/19,883,
+07DA001,1,1974/08/20,855,
+07DA001,1,1974/08/21,830,
+07DA001,1,1974/08/22,813,
+07DA001,1,1974/08/23,807,
+07DA001,1,1974/08/24,850,
+07DA001,1,1974/08/25,929,
+07DA001,1,1974/08/26,983,
+07DA001,1,1974/08/27,971,
+07DA001,1,1974/08/28,940,
+07DA001,1,1974/08/29,932,
+07DA001,1,1974/08/30,968,
+07DA001,1,1974/08/31,980,
+07DA001,1,1974/09/01,957,
+07DA001,1,1974/09/02,917,
+07DA001,1,1974/09/03,881,
+07DA001,1,1974/09/04,861,
+07DA001,1,1974/09/05,841,
+07DA001,1,1974/09/06,838,
+07DA001,1,1974/09/07,844,
+07DA001,1,1974/09/08,833,
+07DA001,1,1974/09/09,813,
+07DA001,1,1974/09/10,799,
+07DA001,1,1974/09/11,807,
+07DA001,1,1974/09/12,835,
+07DA001,1,1974/09/13,900,
+07DA001,1,1974/09/14,923,
+07DA001,1,1974/09/15,920,
+07DA001,1,1974/09/16,957,
+07DA001,1,1974/09/17,957,
+07DA001,1,1974/09/18,906,
+07DA001,1,1974/09/19,861,
+07DA001,1,1974/09/20,816,
+07DA001,1,1974/09/21,790,
+07DA001,1,1974/09/22,770,
+07DA001,1,1974/09/23,759,
+07DA001,1,1974/09/24,742,
+07DA001,1,1974/09/25,733,
+07DA001,1,1974/09/26,722,
+07DA001,1,1974/09/27,702,
+07DA001,1,1974/09/28,691,
+07DA001,1,1974/09/29,685,
+07DA001,1,1974/09/30,674,
+07DA001,1,1974/10/01,660,
+07DA001,1,1974/10/02,654,
+07DA001,1,1974/10/03,657,
+07DA001,1,1974/10/04,665,
+07DA001,1,1974/10/05,648,
+07DA001,1,1974/10/06,680,
+07DA001,1,1974/10/07,677,
+07DA001,1,1974/10/08,665,
+07DA001,1,1974/10/09,651,
+07DA001,1,1974/10/10,634,
+07DA001,1,1974/10/11,640,
+07DA001,1,1974/10/12,648,
+07DA001,1,1974/10/13,654,
+07DA001,1,1974/10/14,651,
+07DA001,1,1974/10/15,648,
+07DA001,1,1974/10/16,643,
+07DA001,1,1974/10/17,640,
+07DA001,1,1974/10/18,629,
+07DA001,1,1974/10/19,620,
+07DA001,1,1974/10/20,623,
+07DA001,1,1974/10/21,654,
+07DA001,1,1974/10/22,665,
+07DA001,1,1974/10/23,663,
+07DA001,1,1974/10/24,654,
+07DA001,1,1974/10/25,640,
+07DA001,1,1974/10/26,623,
+07DA001,1,1974/10/27,614,
+07DA001,1,1974/10/28,603,
+07DA001,1,1974/10/29,592,
+07DA001,1,1974/10/30,583,
+07DA001,1,1974/10/31,580,
+07DA001,1,1974/11/01,572,
+07DA001,1,1974/11/02,564,
+07DA001,1,1974/11/03,547,
+07DA001,1,1974/11/04,541,
+07DA001,1,1974/11/05,521,
+07DA001,1,1974/11/06,484,
+07DA001,1,1974/11/07,467,
+07DA001,1,1974/11/08,439,
+07DA001,1,1974/11/09,411,
+07DA001,1,1974/11/10,379,
+07DA001,1,1974/11/11,365,
+07DA001,1,1974/11/12,337,
+07DA001,1,1974/11/13,323,
+07DA001,1,1974/11/14,326,
+07DA001,1,1974/11/15,311,
+07DA001,1,1974/11/16,283,B
+07DA001,1,1974/11/17,255,B
+07DA001,1,1974/11/18,249,B
+07DA001,1,1974/11/19,248,B
+07DA001,1,1974/11/20,246,B
+07DA001,1,1974/11/21,244,B
+07DA001,1,1974/11/22,241,B
+07DA001,1,1974/11/23,238,B
+07DA001,1,1974/11/24,235,B
+07DA001,1,1974/11/25,229,B
+07DA001,1,1974/11/26,224,B
+07DA001,1,1974/11/27,221,B
+07DA001,1,1974/11/28,215,B
+07DA001,1,1974/11/29,210,B
+07DA001,1,1974/11/30,198,B
+07DA001,1,1974/12/01,187,B
+07DA001,1,1974/12/02,178,B
+07DA001,1,1974/12/03,173,B
+07DA001,1,1974/12/04,178,B
+07DA001,1,1974/12/05,193,B
+07DA001,1,1974/12/06,221,B
+07DA001,1,1974/12/07,263,B
+07DA001,1,1974/12/08,272,B
+07DA001,1,1974/12/09,277,B
+07DA001,1,1974/12/10,283,B
+07DA001,1,1974/12/11,286,B
+07DA001,1,1974/12/12,289,B
+07DA001,1,1974/12/13,294,B
+07DA001,1,1974/12/14,297,B
+07DA001,1,1974/12/15,300,B
+07DA001,1,1974/12/16,303,B
+07DA001,1,1974/12/17,303,B
+07DA001,1,1974/12/18,300,B
+07DA001,1,1974/12/19,300,B
+07DA001,1,1974/12/20,297,B
+07DA001,1,1974/12/21,294,B
+07DA001,1,1974/12/22,292,B
+07DA001,1,1974/12/23,292,B
+07DA001,1,1974/12/24,289,B
+07DA001,1,1974/12/25,286,B
+07DA001,1,1974/12/26,283,B
+07DA001,1,1974/12/27,280,B
+07DA001,1,1974/12/28,278,B
+07DA001,1,1974/12/29,272,B
+07DA001,1,1974/12/30,269,B
+07DA001,1,1974/12/31,266,B
+07DA001,1,1975/01/01,261,B
+07DA001,1,1975/01/02,255,B
+07DA001,1,1975/01/03,252,B
+07DA001,1,1975/01/04,246,B
+07DA001,1,1975/01/05,244,B
+07DA001,1,1975/01/06,238,B
+07DA001,1,1975/01/07,235,B
+07DA001,1,1975/01/08,232,B
+07DA001,1,1975/01/09,229,B
+07DA001,1,1975/01/10,224,B
+07DA001,1,1975/01/11,221,B
+07DA001,1,1975/01/12,218,B
+07DA001,1,1975/01/13,215,B
+07DA001,1,1975/01/14,212,B
+07DA001,1,1975/01/15,210,B
+07DA001,1,1975/01/16,207,B
+07DA001,1,1975/01/17,204,B
+07DA001,1,1975/01/18,204,B
+07DA001,1,1975/01/19,201,B
+07DA001,1,1975/01/20,198,B
+07DA001,1,1975/01/21,198,B
+07DA001,1,1975/01/22,195,B
+07DA001,1,1975/01/23,195,B
+07DA001,1,1975/01/24,193,B
+07DA001,1,1975/01/25,193,B
+07DA001,1,1975/01/26,190,B
+07DA001,1,1975/01/27,190,B
+07DA001,1,1975/01/28,187,B
+07DA001,1,1975/01/29,187,B
+07DA001,1,1975/01/30,187,B
+07DA001,1,1975/01/31,187,B
+07DA001,1,1975/02/01,187,B
+07DA001,1,1975/02/02,187,B
+07DA001,1,1975/02/03,187,B
+07DA001,1,1975/02/04,187,B
+07DA001,1,1975/02/05,187,B
+07DA001,1,1975/02/06,187,B
+07DA001,1,1975/02/07,187,B
+07DA001,1,1975/02/08,187,B
+07DA001,1,1975/02/09,187,B
+07DA001,1,1975/02/10,187,B
+07DA001,1,1975/02/11,187,B
+07DA001,1,1975/02/12,187,B
+07DA001,1,1975/02/13,187,B
+07DA001,1,1975/02/14,187,B
+07DA001,1,1975/02/15,187,B
+07DA001,1,1975/02/16,187,B
+07DA001,1,1975/02/17,187,B
+07DA001,1,1975/02/18,187,B
+07DA001,1,1975/02/19,187,B
+07DA001,1,1975/02/20,187,B
+07DA001,1,1975/02/21,187,B
+07DA001,1,1975/02/22,187,B
+07DA001,1,1975/02/23,187,B
+07DA001,1,1975/02/24,190,B
+07DA001,1,1975/02/25,190,B
+07DA001,1,1975/02/26,190,B
+07DA001,1,1975/02/27,190,B
+07DA001,1,1975/02/28,193,B
+07DA001,1,1975/03/01,193,B
+07DA001,1,1975/03/02,193,B
+07DA001,1,1975/03/03,195,B
+07DA001,1,1975/03/04,195,B
+07DA001,1,1975/03/05,198,B
+07DA001,1,1975/03/06,198,B
+07DA001,1,1975/03/07,198,B
+07DA001,1,1975/03/08,198,B
+07DA001,1,1975/03/09,198,B
+07DA001,1,1975/03/10,198,B
+07DA001,1,1975/03/11,201,B
+07DA001,1,1975/03/12,201,B
+07DA001,1,1975/03/13,204,B
+07DA001,1,1975/03/14,204,B
+07DA001,1,1975/03/15,205,B
+07DA001,1,1975/03/16,204,B
+07DA001,1,1975/03/17,207,B
+07DA001,1,1975/03/18,207,B
+07DA001,1,1975/03/19,207,B
+07DA001,1,1975/03/20,207,B
+07DA001,1,1975/03/21,207,B
+07DA001,1,1975/03/22,210,B
+07DA001,1,1975/03/23,210,B
+07DA001,1,1975/03/24,210,B
+07DA001,1,1975/03/25,210,B
+07DA001,1,1975/03/26,210,B
+07DA001,1,1975/03/27,212,B
+07DA001,1,1975/03/28,212,B
+07DA001,1,1975/03/29,212,B
+07DA001,1,1975/03/30,215,B
+07DA001,1,1975/03/31,215,B
+07DA001,1,1975/04/01,215,B
+07DA001,1,1975/04/02,215,B
+07DA001,1,1975/04/03,218,B
+07DA001,1,1975/04/04,218,B
+07DA001,1,1975/04/05,221,B
+07DA001,1,1975/04/06,221,B
+07DA001,1,1975/04/07,224,B
+07DA001,1,1975/04/08,224,B
+07DA001,1,1975/04/09,227,B
+07DA001,1,1975/04/10,227,B
+07DA001,1,1975/04/11,229,B
+07DA001,1,1975/04/12,232,B
+07DA001,1,1975/04/13,232,B
+07DA001,1,1975/04/14,235,B
+07DA001,1,1975/04/15,238,B
+07DA001,1,1975/04/16,241,B
+07DA001,1,1975/04/17,255,B
+07DA001,1,1975/04/18,283,B
+07DA001,1,1975/04/19,311,B
+07DA001,1,1975/04/20,354,B
+07DA001,1,1975/04/21,396,B
+07DA001,1,1975/04/22,453,B
+07DA001,1,1975/04/23,510,B
+07DA001,1,1975/04/24,566,B
+07DA001,1,1975/04/25,651,B
+07DA001,1,1975/04/26,708,B
+07DA001,1,1975/04/27,765,B
+07DA001,1,1975/04/28,850,B
+07DA001,1,1975/04/29,878,B
+07DA001,1,1975/04/30,878,B
+07DA001,1,1975/05/01,906,B
+07DA001,1,1975/05/02,934,B
+07DA001,1,1975/05/03,963,B
+07DA001,1,1975/05/04,991,B
+07DA001,1,1975/05/05,1030,
+07DA001,1,1975/05/06,1010,
+07DA001,1,1975/05/07,997,
+07DA001,1,1975/05/08,957,
+07DA001,1,1975/05/09,983,
+07DA001,1,1975/05/10,1010,
+07DA001,1,1975/05/11,1040,
+07DA001,1,1975/05/12,1080,
+07DA001,1,1975/05/13,1160,
+07DA001,1,1975/05/14,1190,
+07DA001,1,1975/05/15,1140,
+07DA001,1,1975/05/16,1110,
+07DA001,1,1975/05/17,1080,
+07DA001,1,1975/05/18,1050,
+07DA001,1,1975/05/19,1030,
+07DA001,1,1975/05/20,966,
+07DA001,1,1975/05/21,915,
+07DA001,1,1975/05/22,886,
+07DA001,1,1975/05/23,872,
+07DA001,1,1975/05/24,878,
+07DA001,1,1975/05/25,878,
+07DA001,1,1975/05/26,898,
+07DA001,1,1975/05/27,917,
+07DA001,1,1975/05/28,920,
+07DA001,1,1975/05/29,937,
+07DA001,1,1975/05/30,917,
+07DA001,1,1975/05/31,898,
+07DA001,1,1975/06/01,878,
+07DA001,1,1975/06/02,838,
+07DA001,1,1975/06/03,801,
+07DA001,1,1975/06/04,793,
+07DA001,1,1975/06/05,816,
+07DA001,1,1975/06/06,867,
+07DA001,1,1975/06/07,906,
+07DA001,1,1975/06/08,983,
+07DA001,1,1975/06/09,1060,
+07DA001,1,1975/06/10,1050,
+07DA001,1,1975/06/11,1010,
+07DA001,1,1975/06/12,977,
+07DA001,1,1975/06/13,946,
+07DA001,1,1975/06/14,915,
+07DA001,1,1975/06/15,869,
+07DA001,1,1975/06/16,835,
+07DA001,1,1975/06/17,838,
+07DA001,1,1975/06/18,895,
+07DA001,1,1975/06/19,934,
+07DA001,1,1975/06/20,951,
+07DA001,1,1975/06/21,954,
+07DA001,1,1975/06/22,934,
+07DA001,1,1975/06/23,940,
+07DA001,1,1975/06/24,963,
+07DA001,1,1975/06/25,963,
+07DA001,1,1975/06/26,997,
+07DA001,1,1975/06/27,1060,
+07DA001,1,1975/06/28,1170,
+07DA001,1,1975/06/29,1380,
+07DA001,1,1975/06/30,1760,
+07DA001,1,1975/07/01,2200,
+07DA001,1,1975/07/02,2460,
+07DA001,1,1975/07/03,2340,
+07DA001,1,1975/07/04,2160,
+07DA001,1,1975/07/05,2000,
+07DA001,1,1975/07/06,1910,
+07DA001,1,1975/07/07,1830,
+07DA001,1,1975/07/08,1760,
+07DA001,1,1975/07/09,1720,
+07DA001,1,1975/07/10,1680,
+07DA001,1,1975/07/11,1640,
+07DA001,1,1975/07/12,1600,
+07DA001,1,1975/07/13,1530,
+07DA001,1,1975/07/14,1500,
+07DA001,1,1975/07/15,1520,
+07DA001,1,1975/07/16,1540,
+07DA001,1,1975/07/17,1670,
+07DA001,1,1975/07/18,1850,
+07DA001,1,1975/07/19,1960,
+07DA001,1,1975/07/20,2060,
+07DA001,1,1975/07/21,2050,
+07DA001,1,1975/07/22,1970,
+07DA001,1,1975/07/23,1840,
+07DA001,1,1975/07/24,1680,
+07DA001,1,1975/07/25,1540,
+07DA001,1,1975/07/26,1420,
+07DA001,1,1975/07/27,1320,
+07DA001,1,1975/07/28,1270,
+07DA001,1,1975/07/29,1230,
+07DA001,1,1975/07/30,1210,
+07DA001,1,1975/07/31,1190,
+07DA001,1,1975/08/01,1190,
+07DA001,1,1975/08/02,1190,
+07DA001,1,1975/08/03,1280,
+07DA001,1,1975/08/04,1310,
+07DA001,1,1975/08/05,1250,
+07DA001,1,1975/08/06,1190,
+07DA001,1,1975/08/07,1130,
+07DA001,1,1975/08/08,1100,
+07DA001,1,1975/08/09,1110,
+07DA001,1,1975/08/10,1070,
+07DA001,1,1975/08/11,1020,
+07DA001,1,1975/08/12,1020,
+07DA001,1,1975/08/13,1000,
+07DA001,1,1975/08/14,951,
+07DA001,1,1975/08/15,915,
+07DA001,1,1975/08/16,878,
+07DA001,1,1975/08/17,844,
+07DA001,1,1975/08/18,830,
+07DA001,1,1975/08/19,813,
+07DA001,1,1975/08/20,793,
+07DA001,1,1975/08/21,782,
+07DA001,1,1975/08/22,782,
+07DA001,1,1975/08/23,804,
+07DA001,1,1975/08/24,861,
+07DA001,1,1975/08/25,932,
+07DA001,1,1975/08/26,977,
+07DA001,1,1975/08/27,1000,
+07DA001,1,1975/08/28,1080,
+07DA001,1,1975/08/29,1160,
+07DA001,1,1975/08/30,1180,
+07DA001,1,1975/08/31,1290,
+07DA001,1,1975/09/01,1360,
+07DA001,1,1975/09/02,1440,
+07DA001,1,1975/09/03,1560,
+07DA001,1,1975/09/04,1660,
+07DA001,1,1975/09/05,1650,
+07DA001,1,1975/09/06,1570,
+07DA001,1,1975/09/07,1470,
+07DA001,1,1975/09/08,1390,
+07DA001,1,1975/09/09,1310,
+07DA001,1,1975/09/10,1250,
+07DA001,1,1975/09/11,1180,
+07DA001,1,1975/09/12,1120,
+07DA001,1,1975/09/13,1070,
+07DA001,1,1975/09/14,1020,
+07DA001,1,1975/09/15,977,
+07DA001,1,1975/09/16,946,
+07DA001,1,1975/09/17,917,
+07DA001,1,1975/09/18,883,
+07DA001,1,1975/09/19,852,
+07DA001,1,1975/09/20,827,
+07DA001,1,1975/09/21,804,
+07DA001,1,1975/09/22,793,
+07DA001,1,1975/09/23,790,
+07DA001,1,1975/09/24,790,
+07DA001,1,1975/09/25,767,
+07DA001,1,1975/09/26,753,
+07DA001,1,1975/09/27,745,
+07DA001,1,1975/09/28,748,
+07DA001,1,1975/09/29,753,
+07DA001,1,1975/09/30,753,
+07DA001,1,1975/10/01,748,
+07DA001,1,1975/10/02,742,
+07DA001,1,1975/10/03,736,
+07DA001,1,1975/10/04,722,
+07DA001,1,1975/10/05,708,
+07DA001,1,1975/10/06,708,
+07DA001,1,1975/10/07,719,
+07DA001,1,1975/10/08,719,
+07DA001,1,1975/10/09,716,
+07DA001,1,1975/10/10,708,
+07DA001,1,1975/10/11,714,
+07DA001,1,1975/10/12,739,
+07DA001,1,1975/10/13,728,
+07DA001,1,1975/10/14,708,
+07DA001,1,1975/10/15,694,
+07DA001,1,1975/10/16,680,
+07DA001,1,1975/10/17,665,
+07DA001,1,1975/10/18,657,
+07DA001,1,1975/10/19,651,
+07DA001,1,1975/10/20,648,
+07DA001,1,1975/10/21,646,
+07DA001,1,1975/10/22,643,
+07DA001,1,1975/10/23,640,
+07DA001,1,1975/10/24,634,
+07DA001,1,1975/10/25,629,
+07DA001,1,1975/10/26,629,
+07DA001,1,1975/10/27,620,
+07DA001,1,1975/10/28,600,
+07DA001,1,1975/10/29,580,
+07DA001,1,1975/10/30,575,
+07DA001,1,1975/10/31,569,
+07DA001,1,1975/11/01,572,
+07DA001,1,1975/11/02,566,
+07DA001,1,1975/11/03,544,
+07DA001,1,1975/11/04,541,
+07DA001,1,1975/11/05,541,
+07DA001,1,1975/11/06,561,
+07DA001,1,1975/11/07,541,
+07DA001,1,1975/11/08,558,
+07DA001,1,1975/11/09,541,
+07DA001,1,1975/11/10,538,
+07DA001,1,1975/11/11,518,
+07DA001,1,1975/11/12,493,
+07DA001,1,1975/11/13,532,
+07DA001,1,1975/11/14,564,
+07DA001,1,1975/11/15,549,
+07DA001,1,1975/11/16,547,
+07DA001,1,1975/11/17,535,
+07DA001,1,1975/11/18,510,B
+07DA001,1,1975/11/19,481,B
+07DA001,1,1975/11/20,439,B
+07DA001,1,1975/11/21,396,B
+07DA001,1,1975/11/22,368,B
+07DA001,1,1975/11/23,326,B
+07DA001,1,1975/11/24,297,B
+07DA001,1,1975/11/25,269,B
+07DA001,1,1975/11/26,246,B
+07DA001,1,1975/11/27,235,B
+07DA001,1,1975/11/28,227,B
+07DA001,1,1975/11/29,215,B
+07DA001,1,1975/11/30,207,B
+07DA001,1,1975/12/01,201,B
+07DA001,1,1975/12/02,198,B
+07DA001,1,1975/12/03,198,B
+07DA001,1,1975/12/04,201,B
+07DA001,1,1975/12/05,204,B
+07DA001,1,1975/12/06,207,B
+07DA001,1,1975/12/07,210,B
+07DA001,1,1975/12/08,215,B
+07DA001,1,1975/12/09,221,B
+07DA001,1,1975/12/10,227,B
+07DA001,1,1975/12/11,229,B
+07DA001,1,1975/12/12,232,B
+07DA001,1,1975/12/13,238,B
+07DA001,1,1975/12/14,244,B
+07DA001,1,1975/12/15,249,B
+07DA001,1,1975/12/16,252,B
+07DA001,1,1975/12/17,258,B
+07DA001,1,1975/12/18,265,B
+07DA001,1,1975/12/19,272,B
+07DA001,1,1975/12/20,280,B
+07DA001,1,1975/12/21,286,B
+07DA001,1,1975/12/22,292,B
+07DA001,1,1975/12/23,297,B
+07DA001,1,1975/12/24,300,B
+07DA001,1,1975/12/25,303,B
+07DA001,1,1975/12/26,306,B
+07DA001,1,1975/12/27,303,B
+07DA001,1,1975/12/28,300,B
+07DA001,1,1975/12/29,294,B
+07DA001,1,1975/12/30,292,B
+07DA001,1,1975/12/31,286,B
+07DA001,1,1976/01/01,283,B
+07DA001,1,1976/01/02,278,B
+07DA001,1,1976/01/03,272,B
+07DA001,1,1976/01/04,266,B
+07DA001,1,1976/01/05,261,B
+07DA001,1,1976/01/06,258,B
+07DA001,1,1976/01/07,255,B
+07DA001,1,1976/01/08,249,B
+07DA001,1,1976/01/09,244,B
+07DA001,1,1976/01/10,238,B
+07DA001,1,1976/01/11,232,B
+07DA001,1,1976/01/12,227,B
+07DA001,1,1976/01/13,224,B
+07DA001,1,1976/01/14,218,B
+07DA001,1,1976/01/15,215,B
+07DA001,1,1976/01/16,211,B
+07DA001,1,1976/01/17,210,B
+07DA001,1,1976/01/18,207,B
+07DA001,1,1976/01/19,204,B
+07DA001,1,1976/01/20,201,B
+07DA001,1,1976/01/21,201,B
+07DA001,1,1976/01/22,201,B
+07DA001,1,1976/01/23,201,B
+07DA001,1,1976/01/24,201,B
+07DA001,1,1976/01/25,198,B
+07DA001,1,1976/01/26,198,B
+07DA001,1,1976/01/27,198,B
+07DA001,1,1976/01/28,198,B
+07DA001,1,1976/01/29,198,B
+07DA001,1,1976/01/30,198,B
+07DA001,1,1976/01/31,198,B
+07DA001,1,1976/02/01,198,B
+07DA001,1,1976/02/02,198,B
+07DA001,1,1976/02/03,198,B
+07DA001,1,1976/02/04,198,B
+07DA001,1,1976/02/05,198,B
+07DA001,1,1976/02/06,195,B
+07DA001,1,1976/02/07,195,B
+07DA001,1,1976/02/08,195,B
+07DA001,1,1976/02/09,195,B
+07DA001,1,1976/02/10,195,B
+07DA001,1,1976/02/11,195,B
+07DA001,1,1976/02/12,195,B
+07DA001,1,1976/02/13,195,B
+07DA001,1,1976/02/14,195,B
+07DA001,1,1976/02/15,195,B
+07DA001,1,1976/02/16,195,B
+07DA001,1,1976/02/17,195,B
+07DA001,1,1976/02/18,195,B
+07DA001,1,1976/02/19,195,B
+07DA001,1,1976/02/20,195,B
+07DA001,1,1976/02/21,194,B
+07DA001,1,1976/02/22,193,B
+07DA001,1,1976/02/23,193,B
+07DA001,1,1976/02/24,191,B
+07DA001,1,1976/02/25,191,B
+07DA001,1,1976/02/26,190,B
+07DA001,1,1976/02/27,188,B
+07DA001,1,1976/02/28,187,B
+07DA001,1,1976/02/29,185,B
+07DA001,1,1976/03/01,184,B
+07DA001,1,1976/03/02,184,B
+07DA001,1,1976/03/03,181,B
+07DA001,1,1976/03/04,181,B
+07DA001,1,1976/03/05,180,B
+07DA001,1,1976/03/06,178,B
+07DA001,1,1976/03/07,177,B
+07DA001,1,1976/03/08,176,B
+07DA001,1,1976/03/09,176,B
+07DA001,1,1976/03/10,173,B
+07DA001,1,1976/03/11,173,B
+07DA001,1,1976/03/12,173,B
+07DA001,1,1976/03/13,170,B
+07DA001,1,1976/03/14,170,B
+07DA001,1,1976/03/15,173,B
+07DA001,1,1976/03/16,173,B
+07DA001,1,1976/03/17,173,B
+07DA001,1,1976/03/18,173,B
+07DA001,1,1976/03/19,176,B
+07DA001,1,1976/03/20,176,B
+07DA001,1,1976/03/21,176,B
+07DA001,1,1976/03/22,176,B
+07DA001,1,1976/03/23,178,B
+07DA001,1,1976/03/24,178,B
+07DA001,1,1976/03/25,181,B
+07DA001,1,1976/03/26,181,B
+07DA001,1,1976/03/27,187,B
+07DA001,1,1976/03/28,190,B
+07DA001,1,1976/03/29,195,B
+07DA001,1,1976/03/30,201,B
+07DA001,1,1976/03/31,207,B
+07DA001,1,1976/04/01,218,B
+07DA001,1,1976/04/02,235,B
+07DA001,1,1976/04/03,278,B
+07DA001,1,1976/04/04,311,B
+07DA001,1,1976/04/05,345,B
+07DA001,1,1976/04/06,396,B
+07DA001,1,1976/04/07,453,B
+07DA001,1,1976/04/08,510,B
+07DA001,1,1976/04/09,595,B
+07DA001,1,1976/04/10,694,B
+07DA001,1,1976/04/11,765,B
+07DA001,1,1976/04/12,878,B
+07DA001,1,1976/04/13,991,B
+07DA001,1,1976/04/14,1130,B
+07DA001,1,1976/04/15,1250,B
+07DA001,1,1976/04/16,1360,B
+07DA001,1,1976/04/17,1470,B
+07DA001,1,1976/04/18,1640,B
+07DA001,1,1976/04/19,1560,B
+07DA001,1,1976/04/20,1430,
+07DA001,1,1976/04/21,1230,
+07DA001,1,1976/04/22,1120,
+07DA001,1,1976/04/23,1050,
+07DA001,1,1976/04/24,957,
+07DA001,1,1976/04/25,841,
+07DA001,1,1976/04/26,810,
+07DA001,1,1976/04/27,782,
+07DA001,1,1976/04/28,759,
+07DA001,1,1976/04/29,736,
+07DA001,1,1976/04/30,728,
+07DA001,1,1976/05/01,716,
+07DA001,1,1976/05/02,708,
+07DA001,1,1976/05/03,697,
+07DA001,1,1976/05/04,688,
+07DA001,1,1976/05/05,677,
+07DA001,1,1976/05/06,680,
+07DA001,1,1976/05/07,688,
+07DA001,1,1976/05/08,697,
+07DA001,1,1976/05/09,714,
+07DA001,1,1976/05/10,716,
+07DA001,1,1976/05/11,728,
+07DA001,1,1976/05/12,728,
+07DA001,1,1976/05/13,722,
+07DA001,1,1976/05/14,699,
+07DA001,1,1976/05/15,719,
+07DA001,1,1976/05/16,762,
+07DA001,1,1976/05/17,821,
+07DA001,1,1976/05/18,835,
+07DA001,1,1976/05/19,790,
+07DA001,1,1976/05/20,756,
+07DA001,1,1976/05/21,728,
+07DA001,1,1976/05/22,691,
+07DA001,1,1976/05/23,674,
+07DA001,1,1976/05/24,663,
+07DA001,1,1976/05/25,651,
+07DA001,1,1976/05/26,643,
+07DA001,1,1976/05/27,634,
+07DA001,1,1976/05/28,634,
+07DA001,1,1976/05/29,640,
+07DA001,1,1976/05/30,671,
+07DA001,1,1976/05/31,725,
+07DA001,1,1976/06/01,748,
+07DA001,1,1976/06/02,719,
+07DA001,1,1976/06/03,708,
+07DA001,1,1976/06/04,733,
+07DA001,1,1976/06/05,716,
+07DA001,1,1976/06/06,708,
+07DA001,1,1976/06/07,705,
+07DA001,1,1976/06/08,671,
+07DA001,1,1976/06/09,646,
+07DA001,1,1976/06/10,626,
+07DA001,1,1976/06/11,620,
+07DA001,1,1976/06/12,629,
+07DA001,1,1976/06/13,637,
+07DA001,1,1976/06/14,646,
+07DA001,1,1976/06/15,694,
+07DA001,1,1976/06/16,742,
+07DA001,1,1976/06/17,770,
+07DA001,1,1976/06/18,770,
+07DA001,1,1976/06/19,745,
+07DA001,1,1976/06/20,722,
+07DA001,1,1976/06/21,733,
+07DA001,1,1976/06/22,776,
+07DA001,1,1976/06/23,867,
+07DA001,1,1976/06/24,954,
+07DA001,1,1976/06/25,1120,
+07DA001,1,1976/06/26,1200,
+07DA001,1,1976/06/27,1200,
+07DA001,1,1976/06/28,1250,
+07DA001,1,1976/06/29,1320,
+07DA001,1,1976/06/30,1380,
+07DA001,1,1976/07/01,1430,
+07DA001,1,1976/07/02,1430,
+07DA001,1,1976/07/03,1350,
+07DA001,1,1976/07/04,1280,
+07DA001,1,1976/07/05,1350,
+07DA001,1,1976/07/06,1600,
+07DA001,1,1976/07/07,1550,
+07DA001,1,1976/07/08,1410,
+07DA001,1,1976/07/09,1270,
+07DA001,1,1976/07/10,1250,
+07DA001,1,1976/07/11,1280,
+07DA001,1,1976/07/12,1300,
+07DA001,1,1976/07/13,1390,E
+07DA001,1,1976/07/14,1440,E
+07DA001,1,1976/07/15,1490,E
+07DA001,1,1976/07/16,1470,E
+07DA001,1,1976/07/17,1420,E
+07DA001,1,1976/07/18,1390,E
+07DA001,1,1976/07/19,1330,E
+07DA001,1,1976/07/20,1330,E
+07DA001,1,1976/07/21,1290,E
+07DA001,1,1976/07/22,1230,E
+07DA001,1,1976/07/23,1220,E
+07DA001,1,1976/07/24,1240,E
+07DA001,1,1976/07/25,1220,E
+07DA001,1,1976/07/26,1180,E
+07DA001,1,1976/07/27,1130,E
+07DA001,1,1976/07/28,1080,E
+07DA001,1,1976/07/29,1070,A
+07DA001,1,1976/07/30,1090,
+07DA001,1,1976/07/31,1150,
+07DA001,1,1976/08/01,1170,
+07DA001,1,1976/08/02,1150,
+07DA001,1,1976/08/03,1090,
+07DA001,1,1976/08/04,1060,
+07DA001,1,1976/08/05,1090,
+07DA001,1,1976/08/06,1100,
+07DA001,1,1976/08/07,1130,
+07DA001,1,1976/08/08,1220,
+07DA001,1,1976/08/09,1410,
+07DA001,1,1976/08/10,1450,
+07DA001,1,1976/08/11,1400,
+07DA001,1,1976/08/12,1350,
+07DA001,1,1976/08/13,1370,
+07DA001,1,1976/08/14,1390,
+07DA001,1,1976/08/15,1380,
+07DA001,1,1976/08/16,1300,
+07DA001,1,1976/08/17,1220,
+07DA001,1,1976/08/18,1160,
+07DA001,1,1976/08/19,1170,A
+07DA001,1,1976/08/20,1220,A
+07DA001,1,1976/08/21,1700,
+07DA001,1,1976/08/22,1800,
+07DA001,1,1976/08/23,1590,
+07DA001,1,1976/08/24,1400,
+07DA001,1,1976/08/25,1300,
+07DA001,1,1976/08/26,1280,
+07DA001,1,1976/08/27,1520,
+07DA001,1,1976/08/28,1650,
+07DA001,1,1976/08/29,1740,
+07DA001,1,1976/08/30,1950,
+07DA001,1,1976/08/31,2080,
+07DA001,1,1976/09/01,2000,
+07DA001,1,1976/09/02,1870,
+07DA001,1,1976/09/03,1720,
+07DA001,1,1976/09/04,1610,
+07DA001,1,1976/09/05,1530,
+07DA001,1,1976/09/06,1460,
+07DA001,1,1976/09/07,1470,
+07DA001,1,1976/09/08,1480,
+07DA001,1,1976/09/09,1450,
+07DA001,1,1976/09/10,1390,
+07DA001,1,1976/09/11,1410,
+07DA001,1,1976/09/12,1460,
+07DA001,1,1976/09/13,1400,
+07DA001,1,1976/09/14,1310,
+07DA001,1,1976/09/15,1230,
+07DA001,1,1976/09/16,1180,
+07DA001,1,1976/09/17,1160,
+07DA001,1,1976/09/18,1130,
+07DA001,1,1976/09/19,1080,
+07DA001,1,1976/09/20,1030,
+07DA001,1,1976/09/21,988,
+07DA001,1,1976/09/22,943,
+07DA001,1,1976/09/23,909,
+07DA001,1,1976/09/24,883,
+07DA001,1,1976/09/25,861,
+07DA001,1,1976/09/26,835,
+07DA001,1,1976/09/27,810,
+07DA001,1,1976/09/28,787,
+07DA001,1,1976/09/29,767,
+07DA001,1,1976/09/30,753,
+07DA001,1,1976/10/01,739,
+07DA001,1,1976/10/02,722,
+07DA001,1,1976/10/03,739,
+07DA001,1,1976/10/04,750,
+07DA001,1,1976/10/05,750,
+07DA001,1,1976/10/06,750,
+07DA001,1,1976/10/07,762,
+07DA001,1,1976/10/08,784,
+07DA001,1,1976/10/09,787,
+07DA001,1,1976/10/10,787,
+07DA001,1,1976/10/11,782,
+07DA001,1,1976/10/12,770,
+07DA001,1,1976/10/13,756,
+07DA001,1,1976/10/14,753,
+07DA001,1,1976/10/15,742,
+07DA001,1,1976/10/16,736,
+07DA001,1,1976/10/17,728,
+07DA001,1,1976/10/18,725,
+07DA001,1,1976/10/19,719,
+07DA001,1,1976/10/20,708,
+07DA001,1,1976/10/21,688,
+07DA001,1,1976/10/22,674,
+07DA001,1,1976/10/23,640,
+07DA001,1,1976/10/24,631,
+07DA001,1,1976/10/25,626,
+07DA001,1,1976/10/26,609,
+07DA001,1,1976/10/27,617,
+07DA001,1,1976/10/28,617,
+07DA001,1,1976/10/29,603,
+07DA001,1,1976/10/30,589,
+07DA001,1,1976/10/31,586,
+07DA001,1,1976/11/01,572,
+07DA001,1,1976/11/02,561,
+07DA001,1,1976/11/03,547,
+07DA001,1,1976/11/04,544,
+07DA001,1,1976/11/05,524,B
+07DA001,1,1976/11/06,510,B
+07DA001,1,1976/11/07,496,B
+07DA001,1,1976/11/08,481,B
+07DA001,1,1976/11/09,467,B
+07DA001,1,1976/11/10,453,B
+07DA001,1,1976/11/11,439,B
+07DA001,1,1976/11/12,425,B
+07DA001,1,1976/11/13,396,B
+07DA001,1,1976/11/14,382,B
+07DA001,1,1976/11/15,365,B
+07DA001,1,1976/11/16,331,B
+07DA001,1,1976/11/17,286,B
+07DA001,1,1976/11/18,255,B
+07DA001,1,1976/11/19,227,B
+07DA001,1,1976/11/20,204,B
+07DA001,1,1976/11/21,187,B
+07DA001,1,1976/11/22,170,B
+07DA001,1,1976/11/23,159,B
+07DA001,1,1976/11/24,147,B
+07DA001,1,1976/11/25,142,B
+07DA001,1,1976/11/26,136,B
+07DA001,1,1976/11/27,133,B
+07DA001,1,1976/11/28,130,B
+07DA001,1,1976/11/29,130,B
+07DA001,1,1976/11/30,130,B
+07DA001,1,1976/12/01,130,B
+07DA001,1,1976/12/02,130,B
+07DA001,1,1976/12/03,136,B
+07DA001,1,1976/12/04,140,B
+07DA001,1,1976/12/05,142,B
+07DA001,1,1976/12/06,147,B
+07DA001,1,1976/12/07,153,B
+07DA001,1,1976/12/08,159,B
+07DA001,1,1976/12/09,164,B
+07DA001,1,1976/12/10,170,B
+07DA001,1,1976/12/11,176,B
+07DA001,1,1976/12/12,181,B
+07DA001,1,1976/12/13,187,B
+07DA001,1,1976/12/14,193,B
+07DA001,1,1976/12/15,198,B
+07DA001,1,1976/12/16,204,B
+07DA001,1,1976/12/17,213,B
+07DA001,1,1976/12/18,217,B
+07DA001,1,1976/12/19,221,B
+07DA001,1,1976/12/20,226,B
+07DA001,1,1976/12/21,228,B
+07DA001,1,1976/12/22,231,B
+07DA001,1,1976/12/23,232,B
+07DA001,1,1976/12/24,232,B
+07DA001,1,1976/12/25,232,B
+07DA001,1,1976/12/26,232,B
+07DA001,1,1976/12/27,231,B
+07DA001,1,1976/12/28,229,B
+07DA001,1,1976/12/29,228,B
+07DA001,1,1976/12/30,227,B
+07DA001,1,1976/12/31,225,B
+07DA001,1,1977/01/01,227,B
+07DA001,1,1977/01/02,226,B
+07DA001,1,1977/01/03,225,B
+07DA001,1,1977/01/04,225,B
+07DA001,1,1977/01/05,224,B
+07DA001,1,1977/01/06,223,B
+07DA001,1,1977/01/07,225,B
+07DA001,1,1977/01/08,220,B
+07DA001,1,1977/01/09,216,B
+07DA001,1,1977/01/10,211,B
+07DA001,1,1977/01/11,207,B
+07DA001,1,1977/01/12,205,B
+07DA001,1,1977/01/13,204,B
+07DA001,1,1977/01/14,202,B
+07DA001,1,1977/01/15,202,B
+07DA001,1,1977/01/16,201,B
+07DA001,1,1977/01/17,201,B
+07DA001,1,1977/01/18,201,B
+07DA001,1,1977/01/19,200,B
+07DA001,1,1977/01/20,200,B
+07DA001,1,1977/01/21,200,B
+07DA001,1,1977/01/22,201,B
+07DA001,1,1977/01/23,202,B
+07DA001,1,1977/01/24,202,B
+07DA001,1,1977/01/25,203,B
+07DA001,1,1977/01/26,203,B
+07DA001,1,1977/01/27,203,B
+07DA001,1,1977/01/28,203,B
+07DA001,1,1977/01/29,202,B
+07DA001,1,1977/01/30,202,B
+07DA001,1,1977/01/31,202,B
+07DA001,1,1977/02/01,202,B
+07DA001,1,1977/02/02,202,B
+07DA001,1,1977/02/03,202,B
+07DA001,1,1977/02/04,203,B
+07DA001,1,1977/02/05,201,B
+07DA001,1,1977/02/06,200,B
+07DA001,1,1977/02/07,200,B
+07DA001,1,1977/02/08,200,B
+07DA001,1,1977/02/09,201,B
+07DA001,1,1977/02/10,205,B
+07DA001,1,1977/02/11,205,B
+07DA001,1,1977/02/12,206,B
+07DA001,1,1977/02/13,206,B
+07DA001,1,1977/02/14,205,B
+07DA001,1,1977/02/15,205,B
+07DA001,1,1977/02/16,206,B
+07DA001,1,1977/02/17,207,B
+07DA001,1,1977/02/18,208,B
+07DA001,1,1977/02/19,211,B
+07DA001,1,1977/02/20,213,B
+07DA001,1,1977/02/21,215,B
+07DA001,1,1977/02/22,216,B
+07DA001,1,1977/02/23,216,B
+07DA001,1,1977/02/24,207,B
+07DA001,1,1977/02/25,217,B
+07DA001,1,1977/02/26,221,B
+07DA001,1,1977/02/27,223,B
+07DA001,1,1977/02/28,227,B
+07DA001,1,1977/03/01,223,B
+07DA001,1,1977/03/02,222,B
+07DA001,1,1977/03/03,222,B
+07DA001,1,1977/03/04,225,B
+07DA001,1,1977/03/05,223,B
+07DA001,1,1977/03/06,223,B
+07DA001,1,1977/03/07,223,B
+07DA001,1,1977/03/08,221,B
+07DA001,1,1977/03/09,220,B
+07DA001,1,1977/03/10,221,B
+07DA001,1,1977/03/11,222,B
+07DA001,1,1977/03/12,222,B
+07DA001,1,1977/03/13,223,B
+07DA001,1,1977/03/14,223,B
+07DA001,1,1977/03/15,223,B
+07DA001,1,1977/03/16,223,B
+07DA001,1,1977/03/17,223,B
+07DA001,1,1977/03/18,223,B
+07DA001,1,1977/03/19,223,B
+07DA001,1,1977/03/20,223,B
+07DA001,1,1977/03/21,223,B
+07DA001,1,1977/03/22,223,B
+07DA001,1,1977/03/23,223,B
+07DA001,1,1977/03/24,223,B
+07DA001,1,1977/03/25,223,B
+07DA001,1,1977/03/26,223,B
+07DA001,1,1977/03/27,223,B
+07DA001,1,1977/03/28,223,B
+07DA001,1,1977/03/29,222,B
+07DA001,1,1977/03/30,229,B
+07DA001,1,1977/03/31,245,B
+07DA001,1,1977/04/01,262,B
+07DA001,1,1977/04/02,279,B
+07DA001,1,1977/04/03,294,B
+07DA001,1,1977/04/04,309,B
+07DA001,1,1977/04/05,323,B
+07DA001,1,1977/04/06,337,B
+07DA001,1,1977/04/07,354,B
+07DA001,1,1977/04/08,385,B
+07DA001,1,1977/04/09,439,B
+07DA001,1,1977/04/10,521,B
+07DA001,1,1977/04/11,592,B
+07DA001,1,1977/04/12,688,B
+07DA001,1,1977/04/13,767,B
+07DA001,1,1977/04/14,807,B
+07DA001,1,1977/04/15,850,B
+07DA001,1,1977/04/16,934,B
+07DA001,1,1977/04/17,1020,B
+07DA001,1,1977/04/18,1100,B
+07DA001,1,1977/04/19,1190,B
+07DA001,1,1977/04/20,1220,B
+07DA001,1,1977/04/21,1190,B
+07DA001,1,1977/04/22,1130,B
+07DA001,1,1977/04/23,1050,B
+07DA001,1,1977/04/24,991,B
+07DA001,1,1977/04/25,963,B
+07DA001,1,1977/04/26,943,B
+07DA001,1,1977/04/27,920,B
+07DA001,1,1977/04/28,898,B
+07DA001,1,1977/04/29,875,B
+07DA001,1,1977/04/30,855,
+07DA001,1,1977/05/01,793,
+07DA001,1,1977/05/02,838,
+07DA001,1,1977/05/03,875,
+07DA001,1,1977/05/04,875,
+07DA001,1,1977/05/05,850,
+07DA001,1,1977/05/06,818,
+07DA001,1,1977/05/07,790,
+07DA001,1,1977/05/08,776,
+07DA001,1,1977/05/09,864,
+07DA001,1,1977/05/10,1740,
+07DA001,1,1977/05/11,1720,
+07DA001,1,1977/05/12,1590,
+07DA001,1,1977/05/13,1500,
+07DA001,1,1977/05/14,1460,
+07DA001,1,1977/05/15,1450,
+07DA001,1,1977/05/16,1710,
+07DA001,1,1977/05/17,1740,
+07DA001,1,1977/05/18,1600,
+07DA001,1,1977/05/19,1540,
+07DA001,1,1977/05/20,1590,
+07DA001,1,1977/05/21,1720,
+07DA001,1,1977/05/22,1730,
+07DA001,1,1977/05/23,1700,
+07DA001,1,1977/05/24,1640,
+07DA001,1,1977/05/25,1590,
+07DA001,1,1977/05/26,1550,
+07DA001,1,1977/05/27,1500,
+07DA001,1,1977/05/28,1480,
+07DA001,1,1977/05/29,1550,
+07DA001,1,1977/05/30,1630,
+07DA001,1,1977/05/31,1650,
+07DA001,1,1977/06/01,2060,
+07DA001,1,1977/06/02,2710,
+07DA001,1,1977/06/03,2800,
+07DA001,1,1977/06/04,2590,
+07DA001,1,1977/06/05,2480,
+07DA001,1,1977/06/06,2450,
+07DA001,1,1977/06/07,2320,
+07DA001,1,1977/06/08,2060,
+07DA001,1,1977/06/09,1840,
+07DA001,1,1977/06/10,1670,
+07DA001,1,1977/06/11,1600,
+07DA001,1,1977/06/12,1770,
+07DA001,1,1977/06/13,1870,
+07DA001,1,1977/06/14,1730,
+07DA001,1,1977/06/15,1530,
+07DA001,1,1977/06/16,1380,
+07DA001,1,1977/06/17,1320,
+07DA001,1,1977/06/18,1380,
+07DA001,1,1977/06/19,1460,
+07DA001,1,1977/06/20,1440,
+07DA001,1,1977/06/21,1380,
+07DA001,1,1977/06/22,1340,
+07DA001,1,1977/06/23,1320,
+07DA001,1,1977/06/24,1330,
+07DA001,1,1977/06/25,1350,
+07DA001,1,1977/06/26,1340,
+07DA001,1,1977/06/27,1300,
+07DA001,1,1977/06/28,1240,
+07DA001,1,1977/06/29,1160,
+07DA001,1,1977/06/30,1080,
+07DA001,1,1977/07/01,1060,
+07DA001,1,1977/07/02,1020,
+07DA001,1,1977/07/03,971,
+07DA001,1,1977/07/04,940,
+07DA001,1,1977/07/05,937,
+07DA001,1,1977/07/06,932,
+07DA001,1,1977/07/07,1010,
+07DA001,1,1977/07/08,1140,
+07DA001,1,1977/07/09,1150,
+07DA001,1,1977/07/10,1250,
+07DA001,1,1977/07/11,1530,
+07DA001,1,1977/07/12,1640,
+07DA001,1,1977/07/13,1620,
+07DA001,1,1977/07/14,1670,
+07DA001,1,1977/07/15,1750,
+07DA001,1,1977/07/16,1870,
+07DA001,1,1977/07/17,1840,
+07DA001,1,1977/07/18,1790,
+07DA001,1,1977/07/19,1830,
+07DA001,1,1977/07/20,1850,
+07DA001,1,1977/07/21,1800,
+07DA001,1,1977/07/22,1750,
+07DA001,1,1977/07/23,1680,
+07DA001,1,1977/07/24,1550,
+07DA001,1,1977/07/25,1410,
+07DA001,1,1977/07/26,1300,
+07DA001,1,1977/07/27,1250,
+07DA001,1,1977/07/28,1230,
+07DA001,1,1977/07/29,1190,
+07DA001,1,1977/07/30,1150,
+07DA001,1,1977/07/31,1120,
+07DA001,1,1977/08/01,1120,
+07DA001,1,1977/08/02,1160,
+07DA001,1,1977/08/03,1340,
+07DA001,1,1977/08/04,1520,
+07DA001,1,1977/08/05,1450,
+07DA001,1,1977/08/06,1320,
+07DA001,1,1977/08/07,1240,
+07DA001,1,1977/08/08,1210,
+07DA001,1,1977/08/09,1200,
+07DA001,1,1977/08/10,1150,
+07DA001,1,1977/08/11,1100,
+07DA001,1,1977/08/12,1040,
+07DA001,1,1977/08/13,1020,
+07DA001,1,1977/08/14,1030,
+07DA001,1,1977/08/15,1070,
+07DA001,1,1977/08/16,1050,
+07DA001,1,1977/08/17,1020,
+07DA001,1,1977/08/18,1030,
+07DA001,1,1977/08/19,1060,
+07DA001,1,1977/08/20,1050,
+07DA001,1,1977/08/21,991,
+07DA001,1,1977/08/22,929,
+07DA001,1,1977/08/23,892,
+07DA001,1,1977/08/24,889,
+07DA001,1,1977/08/25,909,
+07DA001,1,1977/08/26,915,
+07DA001,1,1977/08/27,920,
+07DA001,1,1977/08/28,946,
+07DA001,1,1977/08/29,1010,
+07DA001,1,1977/08/30,1040,
+07DA001,1,1977/08/31,1030,
+07DA001,1,1977/09/01,966,
+07DA001,1,1977/09/02,932,
+07DA001,1,1977/09/03,937,
+07DA001,1,1977/09/04,1010,
+07DA001,1,1977/09/05,1120,
+07DA001,1,1977/09/06,1160,
+07DA001,1,1977/09/07,1100,
+07DA001,1,1977/09/08,1040,
+07DA001,1,1977/09/09,1040,
+07DA001,1,1977/09/10,1050,
+07DA001,1,1977/09/11,1060,
+07DA001,1,1977/09/12,1030,
+07DA001,1,1977/09/13,974,
+07DA001,1,1977/09/14,929,
+07DA001,1,1977/09/15,881,
+07DA001,1,1977/09/16,838,
+07DA001,1,1977/09/17,804,
+07DA001,1,1977/09/18,770,
+07DA001,1,1977/09/19,750,
+07DA001,1,1977/09/20,773,
+07DA001,1,1977/09/21,841,
+07DA001,1,1977/09/22,858,
+07DA001,1,1977/09/23,872,
+07DA001,1,1977/09/24,872,
+07DA001,1,1977/09/25,852,
+07DA001,1,1977/09/26,835,
+07DA001,1,1977/09/27,833,
+07DA001,1,1977/09/28,824,
+07DA001,1,1977/09/29,801,
+07DA001,1,1977/09/30,790,
+07DA001,1,1977/10/01,824,
+07DA001,1,1977/10/02,915,
+07DA001,1,1977/10/03,966,
+07DA001,1,1977/10/04,934,
+07DA001,1,1977/10/05,892,
+07DA001,1,1977/10/06,858,
+07DA001,1,1977/10/07,835,
+07DA001,1,1977/10/08,816,
+07DA001,1,1977/10/09,804,
+07DA001,1,1977/10/10,765,
+07DA001,1,1977/10/11,753,
+07DA001,1,1977/10/12,733,
+07DA001,1,1977/10/13,725,
+07DA001,1,1977/10/14,716,
+07DA001,1,1977/10/15,705,
+07DA001,1,1977/10/16,697,
+07DA001,1,1977/10/17,691,
+07DA001,1,1977/10/18,688,
+07DA001,1,1977/10/19,682,
+07DA001,1,1977/10/20,682,
+07DA001,1,1977/10/21,668,
+07DA001,1,1977/10/22,660,
+07DA001,1,1977/10/23,654,
+07DA001,1,1977/10/24,646,
+07DA001,1,1977/10/25,640,
+07DA001,1,1977/10/26,634,
+07DA001,1,1977/10/27,634,A
+07DA001,1,1977/10/28,620,
+07DA001,1,1977/10/29,612,
+07DA001,1,1977/10/30,609,
+07DA001,1,1977/10/31,606,
+07DA001,1,1977/11/01,597,
+07DA001,1,1977/11/02,597,
+07DA001,1,1977/11/03,595,
+07DA001,1,1977/11/04,580,
+07DA001,1,1977/11/05,578,
+07DA001,1,1977/11/06,580,
+07DA001,1,1977/11/07,578,
+07DA001,1,1977/11/08,564,E
+07DA001,1,1977/11/09,521,
+07DA001,1,1977/11/10,504,
+07DA001,1,1977/11/11,473,
+07DA001,1,1977/11/12,430,B
+07DA001,1,1977/11/13,394,B
+07DA001,1,1977/11/14,357,B
+07DA001,1,1977/11/15,320,B
+07DA001,1,1977/11/16,286,B
+07DA001,1,1977/11/17,258,B
+07DA001,1,1977/11/18,235,B
+07DA001,1,1977/11/19,218,B
+07DA001,1,1977/11/20,201,B
+07DA001,1,1977/11/21,187,B
+07DA001,1,1977/11/22,170,B
+07DA001,1,1977/11/23,159,B
+07DA001,1,1977/11/24,153,B
+07DA001,1,1977/11/25,147,B
+07DA001,1,1977/11/26,147,B
+07DA001,1,1977/11/27,146,B
+07DA001,1,1977/11/28,144,B
+07DA001,1,1977/11/29,146,B
+07DA001,1,1977/11/30,147,B
+07DA001,1,1977/12/01,147,B
+07DA001,1,1977/12/02,150,B
+07DA001,1,1977/12/03,153,B
+07DA001,1,1977/12/04,156,B
+07DA001,1,1977/12/05,161,B
+07DA001,1,1977/12/06,170,B
+07DA001,1,1977/12/07,178,B
+07DA001,1,1977/12/08,185,B
+07DA001,1,1977/12/09,193,B
+07DA001,1,1977/12/10,198,B
+07DA001,1,1977/12/11,207,B
+07DA001,1,1977/12/12,212,B
+07DA001,1,1977/12/13,221,B
+07DA001,1,1977/12/14,227,B
+07DA001,1,1977/12/15,229,B
+07DA001,1,1977/12/16,235,B
+07DA001,1,1977/12/17,238,B
+07DA001,1,1977/12/18,241,B
+07DA001,1,1977/12/19,245,B
+07DA001,1,1977/12/20,249,B
+07DA001,1,1977/12/21,252,B
+07DA001,1,1977/12/22,255,B
+07DA001,1,1977/12/23,258,B
+07DA001,1,1977/12/24,259,B
+07DA001,1,1977/12/25,261,B
+07DA001,1,1977/12/26,262,B
+07DA001,1,1977/12/27,263,B
+07DA001,1,1977/12/28,263,B
+07DA001,1,1977/12/29,263,B
+07DA001,1,1977/12/30,263,B
+07DA001,1,1977/12/31,263,B
+07DA001,1,1978/01/01,247,B
+07DA001,1,1978/01/02,245,B
+07DA001,1,1978/01/03,244,B
+07DA001,1,1978/01/04,242,B
+07DA001,1,1978/01/05,238,B
+07DA001,1,1978/01/06,234,B
+07DA001,1,1978/01/07,234,B
+07DA001,1,1978/01/08,235,B
+07DA001,1,1978/01/09,234,B
+07DA001,1,1978/01/10,232,B
+07DA001,1,1978/01/11,229,B
+07DA001,1,1978/01/12,224,B
+07DA001,1,1978/01/13,223,B
+07DA001,1,1978/01/14,222,B
+07DA001,1,1978/01/15,220,B
+07DA001,1,1978/01/16,219,B
+07DA001,1,1978/01/17,219,B
+07DA001,1,1978/01/18,219,B
+07DA001,1,1978/01/19,219,B
+07DA001,1,1978/01/20,219,B
+07DA001,1,1978/01/21,219,B
+07DA001,1,1978/01/22,219,B
+07DA001,1,1978/01/23,219,B
+07DA001,1,1978/01/24,218,B
+07DA001,1,1978/01/25,217,B
+07DA001,1,1978/01/26,215,B
+07DA001,1,1978/01/27,215,B
+07DA001,1,1978/01/28,214,B
+07DA001,1,1978/01/29,212,B
+07DA001,1,1978/01/30,211,B
+07DA001,1,1978/01/31,206,B
+07DA001,1,1978/02/01,205,B
+07DA001,1,1978/02/02,206,B
+07DA001,1,1978/02/03,206,B
+07DA001,1,1978/02/04,208,B
+07DA001,1,1978/02/05,204,B
+07DA001,1,1978/02/06,203,B
+07DA001,1,1978/02/07,201,B
+07DA001,1,1978/02/08,198,B
+07DA001,1,1978/02/09,195,B
+07DA001,1,1978/02/10,191,B
+07DA001,1,1978/02/11,189,B
+07DA001,1,1978/02/12,186,B
+07DA001,1,1978/02/13,183,B
+07DA001,1,1978/02/14,183,B
+07DA001,1,1978/02/15,183,B
+07DA001,1,1978/02/16,183,B
+07DA001,1,1978/02/17,183,B
+07DA001,1,1978/02/18,183,B
+07DA001,1,1978/02/19,183,B
+07DA001,1,1978/02/20,183,B
+07DA001,1,1978/02/21,183,B
+07DA001,1,1978/02/22,182,B
+07DA001,1,1978/02/23,183,B
+07DA001,1,1978/02/24,183,B
+07DA001,1,1978/02/25,183,B
+07DA001,1,1978/02/26,183,B
+07DA001,1,1978/02/27,183,B
+07DA001,1,1978/02/28,185,B
+07DA001,1,1978/03/01,186,B
+07DA001,1,1978/03/02,188,B
+07DA001,1,1978/03/03,190,B
+07DA001,1,1978/03/04,191,B
+07DA001,1,1978/03/05,193,B
+07DA001,1,1978/03/06,195,B
+07DA001,1,1978/03/07,197,B
+07DA001,1,1978/03/08,198,B
+07DA001,1,1978/03/09,197,B
+07DA001,1,1978/03/10,195,B
+07DA001,1,1978/03/11,193,B
+07DA001,1,1978/03/12,190,B
+07DA001,1,1978/03/13,187,B
+07DA001,1,1978/03/14,185,B
+07DA001,1,1978/03/15,184,B
+07DA001,1,1978/03/16,185,B
+07DA001,1,1978/03/17,186,B
+07DA001,1,1978/03/18,187,B
+07DA001,1,1978/03/19,189,B
+07DA001,1,1978/03/20,191,B
+07DA001,1,1978/03/21,193,B
+07DA001,1,1978/03/22,194,B
+07DA001,1,1978/03/23,195,B
+07DA001,1,1978/03/24,195,B
+07DA001,1,1978/03/25,197,B
+07DA001,1,1978/03/26,200,B
+07DA001,1,1978/03/27,221,B
+07DA001,1,1978/03/28,227,B
+07DA001,1,1978/03/29,235,B
+07DA001,1,1978/03/30,241,B
+07DA001,1,1978/03/31,246,B
+07DA001,1,1978/04/01,252,B
+07DA001,1,1978/04/02,257,B
+07DA001,1,1978/04/03,278,B
+07DA001,1,1978/04/04,292,B
+07DA001,1,1978/04/05,297,B
+07DA001,1,1978/04/06,309,B
+07DA001,1,1978/04/07,348,B
+07DA001,1,1978/04/08,416,B
+07DA001,1,1978/04/09,447,B
+07DA001,1,1978/04/10,445,B
+07DA001,1,1978/04/11,462,B
+07DA001,1,1978/04/12,487,B
+07DA001,1,1978/04/13,481,B
+07DA001,1,1978/04/14,481,B
+07DA001,1,1978/04/15,496,B
+07DA001,1,1978/04/16,501,B
+07DA001,1,1978/04/17,532,B
+07DA001,1,1978/04/18,561,B
+07DA001,1,1978/04/19,651,B
+07DA001,1,1978/04/20,595,B
+07DA001,1,1978/04/21,521,B
+07DA001,1,1978/04/22,507,B
+07DA001,1,1978/04/23,561,B
+07DA001,1,1978/04/24,538,B
+07DA001,1,1978/04/25,680,B
+07DA001,1,1978/04/26,793,B
+07DA001,1,1978/04/27,934,B
+07DA001,1,1978/04/28,1100,B
+07DA001,1,1978/04/29,1170,E
+07DA001,1,1978/04/30,1250,E
+07DA001,1,1978/05/01,1380,E
+07DA001,1,1978/05/02,1430,E
+07DA001,1,1978/05/03,1530,E
+07DA001,1,1978/05/04,1560,A
+07DA001,1,1978/05/05,1520,
+07DA001,1,1978/05/06,1460,
+07DA001,1,1978/05/07,1390,
+07DA001,1,1978/05/08,1310,
+07DA001,1,1978/05/09,1230,
+07DA001,1,1978/05/10,1130,
+07DA001,1,1978/05/11,1040,
+07DA001,1,1978/05/12,980,
+07DA001,1,1978/05/13,923,
+07DA001,1,1978/05/14,881,
+07DA001,1,1978/05/15,864,
+07DA001,1,1978/05/16,858,
+07DA001,1,1978/05/17,858,
+07DA001,1,1978/05/18,858,
+07DA001,1,1978/05/19,850,
+07DA001,1,1978/05/20,838,
+07DA001,1,1978/05/21,844,
+07DA001,1,1978/05/22,917,
+07DA001,1,1978/05/23,985,
+07DA001,1,1978/05/24,946,
+07DA001,1,1978/05/25,946,
+07DA001,1,1978/05/26,983,
+07DA001,1,1978/05/27,1110,
+07DA001,1,1978/05/28,1250,
+07DA001,1,1978/05/29,1260,
+07DA001,1,1978/05/30,1280,
+07DA001,1,1978/05/31,1390,
+07DA001,1,1978/06/01,1410,
+07DA001,1,1978/06/02,1370,
+07DA001,1,1978/06/03,1320,
+07DA001,1,1978/06/04,1290,
+07DA001,1,1978/06/05,1290,
+07DA001,1,1978/06/06,1260,
+07DA001,1,1978/06/07,1300,E
+07DA001,1,1978/06/08,1420,E
+07DA001,1,1978/06/09,1470,E
+07DA001,1,1978/06/10,1560,E
+07DA001,1,1978/06/11,1640,E
+07DA001,1,1978/06/12,1590,E
+07DA001,1,1978/06/13,1530,E
+07DA001,1,1978/06/14,1470,E
+07DA001,1,1978/06/15,1440,E
+07DA001,1,1978/06/16,1420,E
+07DA001,1,1978/06/17,1670,E
+07DA001,1,1978/06/18,1980,E
+07DA001,1,1978/06/19,2200,A
+07DA001,1,1978/06/20,2170,A
+07DA001,1,1978/06/21,1930,A
+07DA001,1,1978/06/22,1810,E
+07DA001,1,1978/06/23,1700,E
+07DA001,1,1978/06/24,1610,A
+07DA001,1,1978/06/25,1640,E
+07DA001,1,1978/06/26,1650,A
+07DA001,1,1978/06/27,1730,
+07DA001,1,1978/06/28,1720,
+07DA001,1,1978/06/29,1590,
+07DA001,1,1978/06/30,1470,
+07DA001,1,1978/07/01,1390,
+07DA001,1,1978/07/02,1320,
+07DA001,1,1978/07/03,1290,
+07DA001,1,1978/07/04,1310,
+07DA001,1,1978/07/05,1360,
+07DA001,1,1978/07/06,1340,
+07DA001,1,1978/07/07,1260,
+07DA001,1,1978/07/08,1170,
+07DA001,1,1978/07/09,1100,
+07DA001,1,1978/07/10,1060,
+07DA001,1,1978/07/11,1060,
+07DA001,1,1978/07/12,1070,
+07DA001,1,1978/07/13,1110,
+07DA001,1,1978/07/14,1150,
+07DA001,1,1978/07/15,1600,
+07DA001,1,1978/07/16,2390,
+07DA001,1,1978/07/17,2330,
+07DA001,1,1978/07/18,2030,
+07DA001,1,1978/07/19,1810,
+07DA001,1,1978/07/20,1650,
+07DA001,1,1978/07/21,1500,
+07DA001,1,1978/07/22,1400,
+07DA001,1,1978/07/23,1310,
+07DA001,1,1978/07/24,1220,
+07DA001,1,1978/07/25,1130,
+07DA001,1,1978/07/26,1050,
+07DA001,1,1978/07/27,1000,
+07DA001,1,1978/07/28,980,
+07DA001,1,1978/07/29,1010,
+07DA001,1,1978/07/30,1020,
+07DA001,1,1978/07/31,1030,
+07DA001,1,1978/08/01,1130,
+07DA001,1,1978/08/02,1230,
+07DA001,1,1978/08/03,1210,
+07DA001,1,1978/08/04,1120,
+07DA001,1,1978/08/05,1040,
+07DA001,1,1978/08/06,980,
+07DA001,1,1978/08/07,932,
+07DA001,1,1978/08/08,886,
+07DA001,1,1978/08/09,847,
+07DA001,1,1978/08/10,821,
+07DA001,1,1978/08/11,844,
+07DA001,1,1978/08/12,835,
+07DA001,1,1978/08/13,835,E
+07DA001,1,1978/08/14,850,E
+07DA001,1,1978/08/15,878,E
+07DA001,1,1978/08/16,906,E
+07DA001,1,1978/08/17,920,E
+07DA001,1,1978/08/18,934,E
+07DA001,1,1978/08/19,934,E
+07DA001,1,1978/08/20,906,E
+07DA001,1,1978/08/21,878,E
+07DA001,1,1978/08/22,864,E
+07DA001,1,1978/08/23,858,E
+07DA001,1,1978/08/24,872,A
+07DA001,1,1978/08/25,895,A
+07DA001,1,1978/08/26,920,A
+07DA001,1,1978/08/27,963,E
+07DA001,1,1978/08/28,949,E
+07DA001,1,1978/08/29,934,E
+07DA001,1,1978/08/30,920,E
+07DA001,1,1978/08/31,906,E
+07DA001,1,1978/09/01,898,E
+07DA001,1,1978/09/02,892,E
+07DA001,1,1978/09/03,886,E
+07DA001,1,1978/09/04,878,E
+07DA001,1,1978/09/05,878,E
+07DA001,1,1978/09/06,892,E
+07DA001,1,1978/09/07,934,E
+07DA001,1,1978/09/08,1130,E
+07DA001,1,1978/09/09,1420,E
+07DA001,1,1978/09/10,1700,E
+07DA001,1,1978/09/11,1780,E
+07DA001,1,1978/09/12,1870,E
+07DA001,1,1978/09/13,1850,A
+07DA001,1,1978/09/14,1830,
+07DA001,1,1978/09/15,1820,
+07DA001,1,1978/09/16,1840,
+07DA001,1,1978/09/17,1890,
+07DA001,1,1978/09/18,1910,
+07DA001,1,1978/09/19,1920,
+07DA001,1,1978/09/20,1940,
+07DA001,1,1978/09/21,1940,
+07DA001,1,1978/09/22,1890,
+07DA001,1,1978/09/23,1850,
+07DA001,1,1978/09/24,1770,
+07DA001,1,1978/09/25,1670,
+07DA001,1,1978/09/26,1570,
+07DA001,1,1978/09/27,1470,
+07DA001,1,1978/09/28,1380,
+07DA001,1,1978/09/29,1310,
+07DA001,1,1978/09/30,1240,
+07DA001,1,1978/10/01,1240,
+07DA001,1,1978/10/02,1260,
+07DA001,1,1978/10/03,1230,
+07DA001,1,1978/10/04,1210,
+07DA001,1,1978/10/05,1150,
+07DA001,1,1978/10/06,1100,
+07DA001,1,1978/10/07,1060,
+07DA001,1,1978/10/08,1030,
+07DA001,1,1978/10/09,980,
+07DA001,1,1978/10/10,946,
+07DA001,1,1978/10/11,915,
+07DA001,1,1978/10/12,886,
+07DA001,1,1978/10/13,858,
+07DA001,1,1978/10/14,835,
+07DA001,1,1978/10/15,801,
+07DA001,1,1978/10/16,779,
+07DA001,1,1978/10/17,756,
+07DA001,1,1978/10/18,748,
+07DA001,1,1978/10/19,731,
+07DA001,1,1978/10/20,731,
+07DA001,1,1978/10/21,714,
+07DA001,1,1978/10/22,697,
+07DA001,1,1978/10/23,680,
+07DA001,1,1978/10/24,674,
+07DA001,1,1978/10/25,665,
+07DA001,1,1978/10/26,663,
+07DA001,1,1978/10/27,665,
+07DA001,1,1978/10/28,677,
+07DA001,1,1978/10/29,671,
+07DA001,1,1978/10/30,648,
+07DA001,1,1978/10/31,640,
+07DA001,1,1978/11/01,637,
+07DA001,1,1978/11/02,629,
+07DA001,1,1978/11/03,614,
+07DA001,1,1978/11/04,600,
+07DA001,1,1978/11/05,589,
+07DA001,1,1978/11/06,578,
+07DA001,1,1978/11/07,583,
+07DA001,1,1978/11/08,569,B
+07DA001,1,1978/11/09,552,B
+07DA001,1,1978/11/10,524,B
+07DA001,1,1978/11/11,510,B
+07DA001,1,1978/11/12,481,B
+07DA001,1,1978/11/13,453,B
+07DA001,1,1978/11/14,439,B
+07DA001,1,1978/11/15,425,B
+07DA001,1,1978/11/16,411,B
+07DA001,1,1978/11/17,396,B
+07DA001,1,1978/11/18,382,B
+07DA001,1,1978/11/19,374,B
+07DA001,1,1978/11/20,368,B
+07DA001,1,1978/11/21,365,B
+07DA001,1,1978/11/22,362,B
+07DA001,1,1978/11/23,360,B
+07DA001,1,1978/11/24,357,B
+07DA001,1,1978/11/25,357,B
+07DA001,1,1978/11/26,354,B
+07DA001,1,1978/11/27,351,B
+07DA001,1,1978/11/28,320,B
+07DA001,1,1978/11/29,297,B
+07DA001,1,1978/11/30,274,B
+07DA001,1,1978/12/01,246,B
+07DA001,1,1978/12/02,224,B
+07DA001,1,1978/12/03,227,B
+07DA001,1,1978/12/04,292,B
+07DA001,1,1978/12/05,314,B
+07DA001,1,1978/12/06,303,B
+07DA001,1,1978/12/07,314,B
+07DA001,1,1978/12/08,306,B
+07DA001,1,1978/12/09,306,B
+07DA001,1,1978/12/10,306,B
+07DA001,1,1978/12/11,289,B
+07DA001,1,1978/12/12,276,B
+07DA001,1,1978/12/13,274,B
+07DA001,1,1978/12/14,275,B
+07DA001,1,1978/12/15,278,B
+07DA001,1,1978/12/16,283,B
+07DA001,1,1978/12/17,286,B
+07DA001,1,1978/12/18,276,B
+07DA001,1,1978/12/19,278,B
+07DA001,1,1978/12/20,276,B
+07DA001,1,1978/12/21,280,B
+07DA001,1,1978/12/22,283,B
+07DA001,1,1978/12/23,278,B
+07DA001,1,1978/12/24,278,B
+07DA001,1,1978/12/25,281,B
+07DA001,1,1978/12/26,272,B
+07DA001,1,1978/12/27,264,B
+07DA001,1,1978/12/28,261,B
+07DA001,1,1978/12/29,261,B
+07DA001,1,1978/12/30,261,B
+07DA001,1,1978/12/31,252,B
+07DA001,1,1979/01/01,246,B
+07DA001,1,1979/01/02,243,B
+07DA001,1,1979/01/03,246,B
+07DA001,1,1979/01/04,245,B
+07DA001,1,1979/01/05,246,B
+07DA001,1,1979/01/06,244,B
+07DA001,1,1979/01/07,243,B
+07DA001,1,1979/01/08,242,B
+07DA001,1,1979/01/09,240,B
+07DA001,1,1979/01/10,235,B
+07DA001,1,1979/01/11,231,B
+07DA001,1,1979/01/12,223,B
+07DA001,1,1979/01/13,216,B
+07DA001,1,1979/01/14,216,B
+07DA001,1,1979/01/15,210,B
+07DA001,1,1979/01/16,208,B
+07DA001,1,1979/01/17,207,B
+07DA001,1,1979/01/18,203,B
+07DA001,1,1979/01/19,204,B
+07DA001,1,1979/01/20,202,B
+07DA001,1,1979/01/21,199,B
+07DA001,1,1979/01/22,196,B
+07DA001,1,1979/01/23,194,B
+07DA001,1,1979/01/24,193,B
+07DA001,1,1979/01/25,190,B
+07DA001,1,1979/01/26,187,B
+07DA001,1,1979/01/27,185,B
+07DA001,1,1979/01/28,185,B
+07DA001,1,1979/01/29,184,B
+07DA001,1,1979/01/30,184,B
+07DA001,1,1979/01/31,184,B
+07DA001,1,1979/02/01,183,B
+07DA001,1,1979/02/02,184,B
+07DA001,1,1979/02/03,183,B
+07DA001,1,1979/02/04,182,B
+07DA001,1,1979/02/05,180,B
+07DA001,1,1979/02/06,179,B
+07DA001,1,1979/02/07,178,B
+07DA001,1,1979/02/08,175,B
+07DA001,1,1979/02/09,174,B
+07DA001,1,1979/02/10,174,B
+07DA001,1,1979/02/11,173,B
+07DA001,1,1979/02/12,171,B
+07DA001,1,1979/02/13,171,B
+07DA001,1,1979/02/14,170,B
+07DA001,1,1979/02/15,168,B
+07DA001,1,1979/02/16,166,B
+07DA001,1,1979/02/17,165,B
+07DA001,1,1979/02/18,163,B
+07DA001,1,1979/02/19,162,B
+07DA001,1,1979/02/20,160,B
+07DA001,1,1979/02/21,157,B
+07DA001,1,1979/02/22,157,B
+07DA001,1,1979/02/23,156,B
+07DA001,1,1979/02/24,155,B
+07DA001,1,1979/02/25,154,B
+07DA001,1,1979/02/26,153,B
+07DA001,1,1979/02/27,152,B
+07DA001,1,1979/02/28,152,B
+07DA001,1,1979/03/01,152,B
+07DA001,1,1979/03/02,152,B
+07DA001,1,1979/03/03,152,B
+07DA001,1,1979/03/04,152,B
+07DA001,1,1979/03/05,151,B
+07DA001,1,1979/03/06,151,B
+07DA001,1,1979/03/07,150,B
+07DA001,1,1979/03/08,149,B
+07DA001,1,1979/03/09,148,B
+07DA001,1,1979/03/10,148,B
+07DA001,1,1979/03/11,149,B
+07DA001,1,1979/03/12,150,B
+07DA001,1,1979/03/13,150,B
+07DA001,1,1979/03/14,151,B
+07DA001,1,1979/03/15,152,B
+07DA001,1,1979/03/16,152,B
+07DA001,1,1979/03/17,154,B
+07DA001,1,1979/03/18,158,B
+07DA001,1,1979/03/19,160,B
+07DA001,1,1979/03/20,159,B
+07DA001,1,1979/03/21,159,B
+07DA001,1,1979/03/22,163,B
+07DA001,1,1979/03/23,170,B
+07DA001,1,1979/03/24,177,B
+07DA001,1,1979/03/25,185,B
+07DA001,1,1979/03/26,211,B
+07DA001,1,1979/03/27,228,B
+07DA001,1,1979/03/28,238,B
+07DA001,1,1979/03/29,252,B
+07DA001,1,1979/03/30,269,B
+07DA001,1,1979/03/31,284,B
+07DA001,1,1979/04/01,298,B
+07DA001,1,1979/04/02,301,B
+07DA001,1,1979/04/03,295,B
+07DA001,1,1979/04/04,283,B
+07DA001,1,1979/04/05,266,B
+07DA001,1,1979/04/06,254,B
+07DA001,1,1979/04/07,242,B
+07DA001,1,1979/04/08,235,B
+07DA001,1,1979/04/09,230,B
+07DA001,1,1979/04/10,225,B
+07DA001,1,1979/04/11,218,B
+07DA001,1,1979/04/12,213,B
+07DA001,1,1979/04/13,211,B
+07DA001,1,1979/04/14,224,B
+07DA001,1,1979/04/15,242,B
+07DA001,1,1979/04/16,241,B
+07DA001,1,1979/04/17,253,B
+07DA001,1,1979/04/18,288,B
+07DA001,1,1979/04/19,319,B
+07DA001,1,1979/04/20,329,B
+07DA001,1,1979/04/21,332,B
+07DA001,1,1979/04/22,357,B
+07DA001,1,1979/04/23,391,B
+07DA001,1,1979/04/24,409,B
+07DA001,1,1979/04/25,428,B
+07DA001,1,1979/04/26,488,B
+07DA001,1,1979/04/27,578,B
+07DA001,1,1979/04/28,850,B
+07DA001,1,1979/04/29,1300,B
+07DA001,1,1979/04/30,1480,B
+07DA001,1,1979/05/01,1500,B
+07DA001,1,1979/05/02,1480,B
+07DA001,1,1979/05/03,1460,B
+07DA001,1,1979/05/04,1440,B
+07DA001,1,1979/05/05,1400,B
+07DA001,1,1979/05/06,1350,B
+07DA001,1,1979/05/07,1300,B
+07DA001,1,1979/05/08,1280,B
+07DA001,1,1979/05/09,1310,B
+07DA001,1,1979/05/10,1340,B
+07DA001,1,1979/05/11,1410,B
+07DA001,1,1979/05/12,1430,
+07DA001,1,1979/05/13,1490,
+07DA001,1,1979/05/14,1600,
+07DA001,1,1979/05/15,1710,
+07DA001,1,1979/05/16,1750,
+07DA001,1,1979/05/17,1750,
+07DA001,1,1979/05/18,1710,
+07DA001,1,1979/05/19,1700,
+07DA001,1,1979/05/20,1870,
+07DA001,1,1979/05/21,2060,
+07DA001,1,1979/05/22,1970,
+07DA001,1,1979/05/23,1850,
+07DA001,1,1979/05/24,1740,
+07DA001,1,1979/05/25,1640,
+07DA001,1,1979/05/26,1560,
+07DA001,1,1979/05/27,1480,
+07DA001,1,1979/05/28,1420,
+07DA001,1,1979/05/29,1420,
+07DA001,1,1979/05/30,1460,
+07DA001,1,1979/05/31,1510,
+07DA001,1,1979/06/01,1680,
+07DA001,1,1979/06/02,1650,
+07DA001,1,1979/06/03,1490,
+07DA001,1,1979/06/04,1360,
+07DA001,1,1979/06/05,1270,
+07DA001,1,1979/06/06,1260,
+07DA001,1,1979/06/07,1300,
+07DA001,1,1979/06/08,1480,
+07DA001,1,1979/06/09,1770,
+07DA001,1,1979/06/10,1860,
+07DA001,1,1979/06/11,1810,
+07DA001,1,1979/06/12,1670,
+07DA001,1,1979/06/13,1540,
+07DA001,1,1979/06/14,1470,
+07DA001,1,1979/06/15,1450,
+07DA001,1,1979/06/16,1510,
+07DA001,1,1979/06/17,2200,
+07DA001,1,1979/06/18,2600,
+07DA001,1,1979/06/19,2400,
+07DA001,1,1979/06/20,2170,
+07DA001,1,1979/06/21,1970,
+07DA001,1,1979/06/22,1860,
+07DA001,1,1979/06/23,1820,
+07DA001,1,1979/06/24,1800,
+07DA001,1,1979/06/25,1780,
+07DA001,1,1979/06/26,1760,
+07DA001,1,1979/06/27,1730,
+07DA001,1,1979/06/28,1660,
+07DA001,1,1979/06/29,1600,
+07DA001,1,1979/06/30,1530,
+07DA001,1,1979/07/01,1430,
+07DA001,1,1979/07/02,1380,
+07DA001,1,1979/07/03,1420,
+07DA001,1,1979/07/04,1610,
+07DA001,1,1979/07/05,1950,
+07DA001,1,1979/07/06,2210,
+07DA001,1,1979/07/07,2000,
+07DA001,1,1979/07/08,1760,
+07DA001,1,1979/07/09,1610,
+07DA001,1,1979/07/10,1540,
+07DA001,1,1979/07/11,1580,
+07DA001,1,1979/07/12,1710,
+07DA001,1,1979/07/13,1800,
+07DA001,1,1979/07/14,1930,
+07DA001,1,1979/07/15,2540,
+07DA001,1,1979/07/16,2900,
+07DA001,1,1979/07/17,2720,
+07DA001,1,1979/07/18,2440,
+07DA001,1,1979/07/19,2170,
+07DA001,1,1979/07/20,1950,
+07DA001,1,1979/07/21,1780,
+07DA001,1,1979/07/22,1680,
+07DA001,1,1979/07/23,1620,
+07DA001,1,1979/07/24,1590,
+07DA001,1,1979/07/25,1580,
+07DA001,1,1979/07/26,1580,
+07DA001,1,1979/07/27,1560,
+07DA001,1,1979/07/28,1500,
+07DA001,1,1979/07/29,1390,
+07DA001,1,1979/07/30,1290,
+07DA001,1,1979/07/31,1220,A
+07DA001,1,1979/08/01,1150,E
+07DA001,1,1979/08/02,1100,E
+07DA001,1,1979/08/03,1080,E
+07DA001,1,1979/08/04,1120,E
+07DA001,1,1979/08/05,1140,E
+07DA001,1,1979/08/06,1100,E
+07DA001,1,1979/08/07,1070,E
+07DA001,1,1979/08/08,1050,E
+07DA001,1,1979/08/09,1070,E
+07DA001,1,1979/08/10,1090,E
+07DA001,1,1979/08/11,1110,E
+07DA001,1,1979/08/12,1090,E
+07DA001,1,1979/08/13,1050,E
+07DA001,1,1979/08/14,1020,E
+07DA001,1,1979/08/15,990,E
+07DA001,1,1979/08/16,960,E
+07DA001,1,1979/08/17,930,E
+07DA001,1,1979/08/18,910,E
+07DA001,1,1979/08/19,890,E
+07DA001,1,1979/08/20,870,E
+07DA001,1,1979/08/21,850,E
+07DA001,1,1979/08/22,830,E
+07DA001,1,1979/08/23,820,E
+07DA001,1,1979/08/24,813,A
+07DA001,1,1979/08/25,804,
+07DA001,1,1979/08/26,785,
+07DA001,1,1979/08/27,773,
+07DA001,1,1979/08/28,770,E
+07DA001,1,1979/08/29,780,E
+07DA001,1,1979/08/30,780,E
+07DA001,1,1979/08/31,780,E
+07DA001,1,1979/09/01,790,E
+07DA001,1,1979/09/02,790,E
+07DA001,1,1979/09/03,760,E
+07DA001,1,1979/09/04,750,E
+07DA001,1,1979/09/05,740,E
+07DA001,1,1979/09/06,730,E
+07DA001,1,1979/09/07,720,E
+07DA001,1,1979/09/08,720,E
+07DA001,1,1979/09/09,720,E
+07DA001,1,1979/09/10,730,E
+07DA001,1,1979/09/11,740,E
+07DA001,1,1979/09/12,780,E
+07DA001,1,1979/09/13,870,E
+07DA001,1,1979/09/14,920,E
+07DA001,1,1979/09/15,930,E
+07DA001,1,1979/09/16,940,E
+07DA001,1,1979/09/17,930,E
+07DA001,1,1979/09/18,910,E
+07DA001,1,1979/09/19,890,E
+07DA001,1,1979/09/20,870,E
+07DA001,1,1979/09/21,850,E
+07DA001,1,1979/09/22,840,E
+07DA001,1,1979/09/23,820,E
+07DA001,1,1979/09/24,810,E
+07DA001,1,1979/09/25,790,E
+07DA001,1,1979/09/26,780,E
+07DA001,1,1979/09/27,755,A
+07DA001,1,1979/09/28,755,
+07DA001,1,1979/09/29,754,A
+07DA001,1,1979/09/30,750,E
+07DA001,1,1979/10/01,720,E
+07DA001,1,1979/10/02,700,E
+07DA001,1,1979/10/03,680,E
+07DA001,1,1979/10/04,660,E
+07DA001,1,1979/10/05,650,E
+07DA001,1,1979/10/06,630,E
+07DA001,1,1979/10/07,620,E
+07DA001,1,1979/10/08,600,E
+07DA001,1,1979/10/09,590,E
+07DA001,1,1979/10/10,580,E
+07DA001,1,1979/10/11,570,E
+07DA001,1,1979/10/12,560,E
+07DA001,1,1979/10/13,550,E
+07DA001,1,1979/10/14,540,E
+07DA001,1,1979/10/15,540,E
+07DA001,1,1979/10/16,540,E
+07DA001,1,1979/10/17,550,E
+07DA001,1,1979/10/18,560,E
+07DA001,1,1979/10/19,560,E
+07DA001,1,1979/10/20,570,E
+07DA001,1,1979/10/21,570,E
+07DA001,1,1979/10/22,570,A
+07DA001,1,1979/10/23,574,
+07DA001,1,1979/10/24,569,
+07DA001,1,1979/10/25,557,
+07DA001,1,1979/10/26,550,
+07DA001,1,1979/10/27,542,
+07DA001,1,1979/10/28,538,
+07DA001,1,1979/10/29,533,
+07DA001,1,1979/10/30,527,
+07DA001,1,1979/10/31,516,
+07DA001,1,1979/11/01,506,
+07DA001,1,1979/11/02,501,
+07DA001,1,1979/11/03,503,B
+07DA001,1,1979/11/04,491,B
+07DA001,1,1979/11/05,473,B
+07DA001,1,1979/11/06,457,B
+07DA001,1,1979/11/07,449,B
+07DA001,1,1979/11/08,433,B
+07DA001,1,1979/11/09,402,B
+07DA001,1,1979/11/10,383,B
+07DA001,1,1979/11/11,370,B
+07DA001,1,1979/11/12,360,B
+07DA001,1,1979/11/13,360,B
+07DA001,1,1979/11/14,350,B
+07DA001,1,1979/11/15,350,B
+07DA001,1,1979/11/16,350,B
+07DA001,1,1979/11/17,340,B
+07DA001,1,1979/11/18,340,B
+07DA001,1,1979/11/19,330,B
+07DA001,1,1979/11/20,330,B
+07DA001,1,1979/11/21,320,B
+07DA001,1,1979/11/22,310,B
+07DA001,1,1979/11/23,300,B
+07DA001,1,1979/11/24,298,B
+07DA001,1,1979/11/25,289,B
+07DA001,1,1979/11/26,278,B
+07DA001,1,1979/11/27,255,B
+07DA001,1,1979/11/28,244,B
+07DA001,1,1979/11/29,215,B
+07DA001,1,1979/11/30,220,B
+07DA001,1,1979/12/01,205,B
+07DA001,1,1979/12/02,183,B
+07DA001,1,1979/12/03,159,B
+07DA001,1,1979/12/04,147,B
+07DA001,1,1979/12/05,149,B
+07DA001,1,1979/12/06,183,B
+07DA001,1,1979/12/07,235,B
+07DA001,1,1979/12/08,206,B
+07DA001,1,1979/12/09,197,B
+07DA001,1,1979/12/10,214,B
+07DA001,1,1979/12/11,221,B
+07DA001,1,1979/12/12,222,B
+07DA001,1,1979/12/13,214,B
+07DA001,1,1979/12/14,221,B
+07DA001,1,1979/12/15,220,B
+07DA001,1,1979/12/16,215,B
+07DA001,1,1979/12/17,225,B
+07DA001,1,1979/12/18,254,B
+07DA001,1,1979/12/19,278,B
+07DA001,1,1979/12/20,275,B
+07DA001,1,1979/12/21,270,B
+07DA001,1,1979/12/22,262,B
+07DA001,1,1979/12/23,257,B
+07DA001,1,1979/12/24,251,B
+07DA001,1,1979/12/25,247,B
+07DA001,1,1979/12/26,240,B
+07DA001,1,1979/12/27,240,B
+07DA001,1,1979/12/28,240,B
+07DA001,1,1979/12/29,240,B
+07DA001,1,1979/12/30,243,B
+07DA001,1,1979/12/31,249,B
+07DA001,1,1980/01/01,263,B
+07DA001,1,1980/01/02,277,B
+07DA001,1,1980/01/03,282,B
+07DA001,1,1980/01/04,283,B
+07DA001,1,1980/01/05,278,B
+07DA001,1,1980/01/06,268,B
+07DA001,1,1980/01/07,262,B
+07DA001,1,1980/01/08,261,B
+07DA001,1,1980/01/09,261,B
+07DA001,1,1980/01/10,261,B
+07DA001,1,1980/01/11,261,B
+07DA001,1,1980/01/12,258,B
+07DA001,1,1980/01/13,251,B
+07DA001,1,1980/01/14,248,B
+07DA001,1,1980/01/15,244,B
+07DA001,1,1980/01/16,243,B
+07DA001,1,1980/01/17,242,B
+07DA001,1,1980/01/18,236,B
+07DA001,1,1980/01/19,227,B
+07DA001,1,1980/01/20,222,B
+07DA001,1,1980/01/21,219,B
+07DA001,1,1980/01/22,215,B
+07DA001,1,1980/01/23,214,B
+07DA001,1,1980/01/24,213,B
+07DA001,1,1980/01/25,213,B
+07DA001,1,1980/01/26,214,B
+07DA001,1,1980/01/27,215,B
+07DA001,1,1980/01/28,217,B
+07DA001,1,1980/01/29,218,B
+07DA001,1,1980/01/30,218,B
+07DA001,1,1980/01/31,218,B
+07DA001,1,1980/02/01,218,B
+07DA001,1,1980/02/02,216,B
+07DA001,1,1980/02/03,213,B
+07DA001,1,1980/02/04,212,B
+07DA001,1,1980/02/05,209,B
+07DA001,1,1980/02/06,205,B
+07DA001,1,1980/02/07,203,B
+07DA001,1,1980/02/08,201,B
+07DA001,1,1980/02/09,200,B
+07DA001,1,1980/02/10,199,B
+07DA001,1,1980/02/11,199,B
+07DA001,1,1980/02/12,199,B
+07DA001,1,1980/02/13,199,B
+07DA001,1,1980/02/14,200,B
+07DA001,1,1980/02/15,201,B
+07DA001,1,1980/02/16,202,B
+07DA001,1,1980/02/17,203,B
+07DA001,1,1980/02/18,204,B
+07DA001,1,1980/02/19,204,B
+07DA001,1,1980/02/20,204,B
+07DA001,1,1980/02/21,205,B
+07DA001,1,1980/02/22,206,B
+07DA001,1,1980/02/23,206,B
+07DA001,1,1980/02/24,206,B
+07DA001,1,1980/02/25,205,B
+07DA001,1,1980/02/26,203,B
+07DA001,1,1980/02/27,203,B
+07DA001,1,1980/02/28,203,B
+07DA001,1,1980/02/29,207,B
+07DA001,1,1980/03/01,209,B
+07DA001,1,1980/03/02,212,B
+07DA001,1,1980/03/03,213,B
+07DA001,1,1980/03/04,214,B
+07DA001,1,1980/03/05,215,B
+07DA001,1,1980/03/06,215,B
+07DA001,1,1980/03/07,214,B
+07DA001,1,1980/03/08,214,B
+07DA001,1,1980/03/09,212,B
+07DA001,1,1980/03/10,208,B
+07DA001,1,1980/03/11,205,B
+07DA001,1,1980/03/12,208,B
+07DA001,1,1980/03/13,208,B
+07DA001,1,1980/03/14,207,B
+07DA001,1,1980/03/15,203,B
+07DA001,1,1980/03/16,200,B
+07DA001,1,1980/03/17,198,B
+07DA001,1,1980/03/18,199,B
+07DA001,1,1980/03/19,201,B
+07DA001,1,1980/03/20,201,B
+07DA001,1,1980/03/21,202,B
+07DA001,1,1980/03/22,201,B
+07DA001,1,1980/03/23,202,B
+07DA001,1,1980/03/24,203,B
+07DA001,1,1980/03/25,204,B
+07DA001,1,1980/03/26,204,B
+07DA001,1,1980/03/27,203,B
+07DA001,1,1980/03/28,202,B
+07DA001,1,1980/03/29,202,B
+07DA001,1,1980/03/30,206,B
+07DA001,1,1980/03/31,207,B
+07DA001,1,1980/04/01,211,B
+07DA001,1,1980/04/02,215,B
+07DA001,1,1980/04/03,221,B
+07DA001,1,1980/04/04,229,B
+07DA001,1,1980/04/05,238,B
+07DA001,1,1980/04/06,242,B
+07DA001,1,1980/04/07,252,B
+07DA001,1,1980/04/08,270,B
+07DA001,1,1980/04/09,291,B
+07DA001,1,1980/04/10,308,B
+07DA001,1,1980/04/11,335,B
+07DA001,1,1980/04/12,376,B
+07DA001,1,1980/04/13,420,B
+07DA001,1,1980/04/14,453,B
+07DA001,1,1980/04/15,484,B
+07DA001,1,1980/04/16,597,B
+07DA001,1,1980/04/17,754,B
+07DA001,1,1980/04/18,749,B
+07DA001,1,1980/04/19,952,B
+07DA001,1,1980/04/20,1200,B
+07DA001,1,1980/04/21,1140,B
+07DA001,1,1980/04/22,1100,B
+07DA001,1,1980/04/23,1040,B
+07DA001,1,1980/04/24,999,
+07DA001,1,1980/04/25,982,
+07DA001,1,1980/04/26,941,
+07DA001,1,1980/04/27,901,
+07DA001,1,1980/04/28,861,
+07DA001,1,1980/04/29,840,
+07DA001,1,1980/04/30,810,E
+07DA001,1,1980/05/01,790,E
+07DA001,1,1980/05/02,770,E
+07DA001,1,1980/05/03,770,E
+07DA001,1,1980/05/04,775,E
+07DA001,1,1980/05/05,775,E
+07DA001,1,1980/05/06,755,E
+07DA001,1,1980/05/07,735,E
+07DA001,1,1980/05/08,735,E
+07DA001,1,1980/05/09,740,E
+07DA001,1,1980/05/10,735,E
+07DA001,1,1980/05/11,720,E
+07DA001,1,1980/05/12,695,E
+07DA001,1,1980/05/13,665,E
+07DA001,1,1980/05/14,645,E
+07DA001,1,1980/05/15,630,E
+07DA001,1,1980/05/16,610,E
+07DA001,1,1980/05/17,600,E
+07DA001,1,1980/05/18,595,E
+07DA001,1,1980/05/19,600,E
+07DA001,1,1980/05/20,605,E
+07DA001,1,1980/05/21,617,A
+07DA001,1,1980/05/22,624,
+07DA001,1,1980/05/23,647,
+07DA001,1,1980/05/24,682,
+07DA001,1,1980/05/25,703,
+07DA001,1,1980/05/26,684,
+07DA001,1,1980/05/27,645,
+07DA001,1,1980/05/28,629,
+07DA001,1,1980/05/29,639,
+07DA001,1,1980/05/30,702,
+07DA001,1,1980/05/31,797,
+07DA001,1,1980/06/01,1060,
+07DA001,1,1980/06/02,1300,
+07DA001,1,1980/06/03,1280,
+07DA001,1,1980/06/04,1180,
+07DA001,1,1980/06/05,1100,
+07DA001,1,1980/06/06,1060,
+07DA001,1,1980/06/07,1390,
+07DA001,1,1980/06/08,3010,
+07DA001,1,1980/06/09,3930,
+07DA001,1,1980/06/10,3820,
+07DA001,1,1980/06/11,2920,
+07DA001,1,1980/06/12,2400,
+07DA001,1,1980/06/13,2130,
+07DA001,1,1980/06/14,1970,
+07DA001,1,1980/06/15,1830,
+07DA001,1,1980/06/16,1690,
+07DA001,1,1980/06/17,1550,
+07DA001,1,1980/06/18,1450,
+07DA001,1,1980/06/19,1390,
+07DA001,1,1980/06/20,1390,
+07DA001,1,1980/06/21,1480,
+07DA001,1,1980/06/22,1740,
+07DA001,1,1980/06/23,1730,
+07DA001,1,1980/06/24,1580,
+07DA001,1,1980/06/25,1480,
+07DA001,1,1980/06/26,1390,
+07DA001,1,1980/06/27,1350,
+07DA001,1,1980/06/28,1610,
+07DA001,1,1980/06/29,2050,
+07DA001,1,1980/06/30,2120,
+07DA001,1,1980/07/01,2250,
+07DA001,1,1980/07/02,2190,
+07DA001,1,1980/07/03,2000,
+07DA001,1,1980/07/04,1970,
+07DA001,1,1980/07/05,1910,
+07DA001,1,1980/07/06,1730,
+07DA001,1,1980/07/07,1600,
+07DA001,1,1980/07/08,1480,
+07DA001,1,1980/07/09,1430,
+07DA001,1,1980/07/10,1420,
+07DA001,1,1980/07/11,1340,
+07DA001,1,1980/07/12,1220,
+07DA001,1,1980/07/13,1120,
+07DA001,1,1980/07/14,1060,
+07DA001,1,1980/07/15,1040,
+07DA001,1,1980/07/16,1020,
+07DA001,1,1980/07/17,1010,
+07DA001,1,1980/07/18,986,
+07DA001,1,1980/07/19,954,
+07DA001,1,1980/07/20,931,
+07DA001,1,1980/07/21,933,
+07DA001,1,1980/07/22,937,
+07DA001,1,1980/07/23,949,
+07DA001,1,1980/07/24,947,
+07DA001,1,1980/07/25,1000,
+07DA001,1,1980/07/26,955,
+07DA001,1,1980/07/27,934,
+07DA001,1,1980/07/28,948,
+07DA001,1,1980/07/29,983,
+07DA001,1,1980/07/30,962,
+07DA001,1,1980/07/31,899,
+07DA001,1,1980/08/01,846,
+07DA001,1,1980/08/02,820,
+07DA001,1,1980/08/03,839,
+07DA001,1,1980/08/04,949,
+07DA001,1,1980/08/05,1110,
+07DA001,1,1980/08/06,1240,
+07DA001,1,1980/08/07,1340,
+07DA001,1,1980/08/08,1410,
+07DA001,1,1980/08/09,1490,
+07DA001,1,1980/08/10,1500,
+07DA001,1,1980/08/11,1520,
+07DA001,1,1980/08/12,1570,
+07DA001,1,1980/08/13,1570,
+07DA001,1,1980/08/14,1520,
+07DA001,1,1980/08/15,1480,
+07DA001,1,1980/08/16,1440,
+07DA001,1,1980/08/17,1400,
+07DA001,1,1980/08/18,1350,
+07DA001,1,1980/08/19,1300,
+07DA001,1,1980/08/20,1240,
+07DA001,1,1980/08/21,1190,
+07DA001,1,1980/08/22,1150,
+07DA001,1,1980/08/23,1100,
+07DA001,1,1980/08/24,1110,
+07DA001,1,1980/08/25,1090,
+07DA001,1,1980/08/26,1030,
+07DA001,1,1980/08/27,963,
+07DA001,1,1980/08/28,947,
+07DA001,1,1980/08/29,948,
+07DA001,1,1980/08/30,991,
+07DA001,1,1980/08/31,1010,
+07DA001,1,1980/09/01,985,
+07DA001,1,1980/09/02,951,
+07DA001,1,1980/09/03,956,
+07DA001,1,1980/09/04,972,
+07DA001,1,1980/09/05,953,
+07DA001,1,1980/09/06,941,
+07DA001,1,1980/09/07,938,
+07DA001,1,1980/09/08,914,
+07DA001,1,1980/09/09,877,
+07DA001,1,1980/09/10,847,
+07DA001,1,1980/09/11,832,
+07DA001,1,1980/09/12,806,
+07DA001,1,1980/09/13,788,
+07DA001,1,1980/09/14,801,
+07DA001,1,1980/09/15,842,
+07DA001,1,1980/09/16,831,
+07DA001,1,1980/09/17,823,
+07DA001,1,1980/09/18,822,
+07DA001,1,1980/09/19,853,
+07DA001,1,1980/09/20,940,
+07DA001,1,1980/09/21,1030,
+07DA001,1,1980/09/22,1140,
+07DA001,1,1980/09/23,1270,
+07DA001,1,1980/09/24,1320,
+07DA001,1,1980/09/25,1280,
+07DA001,1,1980/09/26,1270,
+07DA001,1,1980/09/27,1260,
+07DA001,1,1980/09/28,1210,
+07DA001,1,1980/09/29,1150,
+07DA001,1,1980/09/30,1100,
+07DA001,1,1980/10/01,1040,
+07DA001,1,1980/10/02,982,
+07DA001,1,1980/10/03,937,
+07DA001,1,1980/10/04,904,
+07DA001,1,1980/10/05,872,
+07DA001,1,1980/10/06,869,
+07DA001,1,1980/10/07,900,
+07DA001,1,1980/10/08,867,
+07DA001,1,1980/10/09,821,
+07DA001,1,1980/10/10,784,
+07DA001,1,1980/10/11,763,
+07DA001,1,1980/10/12,745,
+07DA001,1,1980/10/13,726,
+07DA001,1,1980/10/14,722,
+07DA001,1,1980/10/15,719,
+07DA001,1,1980/10/16,712,
+07DA001,1,1980/10/17,695,
+07DA001,1,1980/10/18,675,
+07DA001,1,1980/10/19,659,
+07DA001,1,1980/10/20,647,
+07DA001,1,1980/10/21,635,
+07DA001,1,1980/10/22,626,
+07DA001,1,1980/10/23,616,
+07DA001,1,1980/10/24,608,
+07DA001,1,1980/10/25,599,
+07DA001,1,1980/10/26,590,
+07DA001,1,1980/10/27,577,
+07DA001,1,1980/10/28,567,
+07DA001,1,1980/10/29,564,
+07DA001,1,1980/10/30,558,
+07DA001,1,1980/10/31,548,
+07DA001,1,1980/11/01,539,
+07DA001,1,1980/11/02,537,
+07DA001,1,1980/11/03,536,
+07DA001,1,1980/11/04,535,
+07DA001,1,1980/11/05,528,
+07DA001,1,1980/11/06,527,
+07DA001,1,1980/11/07,527,
+07DA001,1,1980/11/08,527,
+07DA001,1,1980/11/09,514,
+07DA001,1,1980/11/10,513,
+07DA001,1,1980/11/11,508,
+07DA001,1,1980/11/12,498,B
+07DA001,1,1980/11/13,485,B
+07DA001,1,1980/11/14,482,B
+07DA001,1,1980/11/15,486,B
+07DA001,1,1980/11/16,486,B
+07DA001,1,1980/11/17,472,B
+07DA001,1,1980/11/18,457,B
+07DA001,1,1980/11/19,431,B
+07DA001,1,1980/11/20,431,B
+07DA001,1,1980/11/21,408,B
+07DA001,1,1980/11/22,375,B
+07DA001,1,1980/11/23,407,B
+07DA001,1,1980/11/24,399,B
+07DA001,1,1980/11/25,385,B
+07DA001,1,1980/11/26,411,B
+07DA001,1,1980/11/27,404,B
+07DA001,1,1980/11/28,404,B
+07DA001,1,1980/11/29,388,B
+07DA001,1,1980/11/30,289,B
+07DA001,1,1980/12/01,246,B
+07DA001,1,1980/12/02,243,B
+07DA001,1,1980/12/03,252,B
+07DA001,1,1980/12/04,256,B
+07DA001,1,1980/12/05,228,B
+07DA001,1,1980/12/06,196,B
+07DA001,1,1980/12/07,196,B
+07DA001,1,1980/12/08,193,B
+07DA001,1,1980/12/09,190,B
+07DA001,1,1980/12/10,174,B
+07DA001,1,1980/12/11,176,B
+07DA001,1,1980/12/12,180,B
+07DA001,1,1980/12/13,167,B
+07DA001,1,1980/12/14,158,B
+07DA001,1,1980/12/15,156,B
+07DA001,1,1980/12/16,156,B
+07DA001,1,1980/12/17,154,B
+07DA001,1,1980/12/18,152,B
+07DA001,1,1980/12/19,161,B
+07DA001,1,1980/12/20,172,B
+07DA001,1,1980/12/21,183,B
+07DA001,1,1980/12/22,193,B
+07DA001,1,1980/12/23,202,B
+07DA001,1,1980/12/24,213,B
+07DA001,1,1980/12/25,211,B
+07DA001,1,1980/12/26,211,B
+07DA001,1,1980/12/27,223,B
+07DA001,1,1980/12/28,223,B
+07DA001,1,1980/12/29,216,B
+07DA001,1,1980/12/30,204,B
+07DA001,1,1980/12/31,191,B
+07DA001,1,1981/01/01,183,B
+07DA001,1,1981/01/02,178,B
+07DA001,1,1981/01/03,178,B
+07DA001,1,1981/01/04,178,B
+07DA001,1,1981/01/05,181,B
+07DA001,1,1981/01/06,186,B
+07DA001,1,1981/01/07,199,B
+07DA001,1,1981/01/08,211,B
+07DA001,1,1981/01/09,215,B
+07DA001,1,1981/01/10,215,B
+07DA001,1,1981/01/11,206,B
+07DA001,1,1981/01/12,199,B
+07DA001,1,1981/01/13,196,B
+07DA001,1,1981/01/14,193,B
+07DA001,1,1981/01/15,193,B
+07DA001,1,1981/01/16,194,B
+07DA001,1,1981/01/17,194,B
+07DA001,1,1981/01/18,197,B
+07DA001,1,1981/01/19,199,B
+07DA001,1,1981/01/20,200,B
+07DA001,1,1981/01/21,200,B
+07DA001,1,1981/01/22,199,B
+07DA001,1,1981/01/23,198,B
+07DA001,1,1981/01/24,198,B
+07DA001,1,1981/01/25,199,B
+07DA001,1,1981/01/26,198,B
+07DA001,1,1981/01/27,198,B
+07DA001,1,1981/01/28,197,B
+07DA001,1,1981/01/29,197,B
+07DA001,1,1981/01/30,201,B
+07DA001,1,1981/01/31,206,B
+07DA001,1,1981/02/01,209,B
+07DA001,1,1981/02/02,211,B
+07DA001,1,1981/02/03,213,B
+07DA001,1,1981/02/04,214,B
+07DA001,1,1981/02/05,214,B
+07DA001,1,1981/02/06,210,B
+07DA001,1,1981/02/07,202,B
+07DA001,1,1981/02/08,198,B
+07DA001,1,1981/02/09,198,B
+07DA001,1,1981/02/10,198,B
+07DA001,1,1981/02/11,197,B
+07DA001,1,1981/02/12,194,B
+07DA001,1,1981/02/13,190,B
+07DA001,1,1981/02/14,184,B
+07DA001,1,1981/02/15,180,B
+07DA001,1,1981/02/16,178,B
+07DA001,1,1981/02/17,175,B
+07DA001,1,1981/02/18,173,B
+07DA001,1,1981/02/19,173,B
+07DA001,1,1981/02/20,173,B
+07DA001,1,1981/02/21,172,B
+07DA001,1,1981/02/22,173,B
+07DA001,1,1981/02/23,173,B
+07DA001,1,1981/02/24,176,B
+07DA001,1,1981/02/25,180,B
+07DA001,1,1981/02/26,184,B
+07DA001,1,1981/02/27,188,B
+07DA001,1,1981/02/28,191,B
+07DA001,1,1981/03/01,193,B
+07DA001,1,1981/03/02,194,B
+07DA001,1,1981/03/03,194,B
+07DA001,1,1981/03/04,195,B
+07DA001,1,1981/03/05,196,B
+07DA001,1,1981/03/06,196,B
+07DA001,1,1981/03/07,196,B
+07DA001,1,1981/03/08,194,B
+07DA001,1,1981/03/09,197,B
+07DA001,1,1981/03/10,200,B
+07DA001,1,1981/03/11,198,B
+07DA001,1,1981/03/12,197,B
+07DA001,1,1981/03/13,197,B
+07DA001,1,1981/03/14,201,B
+07DA001,1,1981/03/15,204,B
+07DA001,1,1981/03/16,203,B
+07DA001,1,1981/03/17,205,B
+07DA001,1,1981/03/18,203,B
+07DA001,1,1981/03/19,203,B
+07DA001,1,1981/03/20,208,B
+07DA001,1,1981/03/21,218,B
+07DA001,1,1981/03/22,226,B
+07DA001,1,1981/03/23,229,B
+07DA001,1,1981/03/24,229,B
+07DA001,1,1981/03/25,230,B
+07DA001,1,1981/03/26,242,B
+07DA001,1,1981/03/27,264,B
+07DA001,1,1981/03/28,287,B
+07DA001,1,1981/03/29,303,B
+07DA001,1,1981/03/30,308,B
+07DA001,1,1981/03/31,315,B
+07DA001,1,1981/04/01,323,B
+07DA001,1,1981/04/02,327,B
+07DA001,1,1981/04/03,343,B
+07DA001,1,1981/04/04,357,B
+07DA001,1,1981/04/05,397,B
+07DA001,1,1981/04/06,444,B
+07DA001,1,1981/04/07,489,B
+07DA001,1,1981/04/08,526,B
+07DA001,1,1981/04/09,590,B
+07DA001,1,1981/04/10,620,B
+07DA001,1,1981/04/11,630,B
+07DA001,1,1981/04/12,620,B
+07DA001,1,1981/04/13,625,B
+07DA001,1,1981/04/14,635,B
+07DA001,1,1981/04/15,600,B
+07DA001,1,1981/04/16,545,B
+07DA001,1,1981/04/17,420,B
+07DA001,1,1981/04/18,460,B
+07DA001,1,1981/04/19,470,B
+07DA001,1,1981/04/20,480,B
+07DA001,1,1981/04/21,485,B
+07DA001,1,1981/04/22,490,B
+07DA001,1,1981/04/23,490,B
+07DA001,1,1981/04/24,485,B
+07DA001,1,1981/04/25,490,E
+07DA001,1,1981/04/26,505,E
+07DA001,1,1981/04/27,530,E
+07DA001,1,1981/04/28,575,E
+07DA001,1,1981/04/29,590,E
+07DA001,1,1981/04/30,595,E
+07DA001,1,1981/05/01,595,E
+07DA001,1,1981/05/02,595,E
+07DA001,1,1981/05/03,590,E
+07DA001,1,1981/05/04,585,E
+07DA001,1,1981/05/05,580,E
+07DA001,1,1981/05/06,575,E
+07DA001,1,1981/05/07,570,E
+07DA001,1,1981/05/08,570,E
+07DA001,1,1981/05/09,565,E
+07DA001,1,1981/05/10,570,E
+07DA001,1,1981/05/11,580,E
+07DA001,1,1981/05/12,590,E
+07DA001,1,1981/05/13,600,E
+07DA001,1,1981/05/14,610,E
+07DA001,1,1981/05/15,630,E
+07DA001,1,1981/05/16,660,E
+07DA001,1,1981/05/17,685,E
+07DA001,1,1981/05/18,725,E
+07DA001,1,1981/05/19,740,E
+07DA001,1,1981/05/20,750,E
+07DA001,1,1981/05/21,760,E
+07DA001,1,1981/05/22,765,E
+07DA001,1,1981/05/23,765,E
+07DA001,1,1981/05/24,770,E
+07DA001,1,1981/05/25,780,E
+07DA001,1,1981/05/26,812,A
+07DA001,1,1981/05/27,994,
+07DA001,1,1981/05/28,1170,
+07DA001,1,1981/05/29,1170,A
+07DA001,1,1981/05/30,1160,
+07DA001,1,1981/05/31,1230,
+07DA001,1,1981/06/01,1330,
+07DA001,1,1981/06/02,1240,
+07DA001,1,1981/06/03,1120,
+07DA001,1,1981/06/04,1140,
+07DA001,1,1981/06/05,1410,
+07DA001,1,1981/06/06,1370,
+07DA001,1,1981/06/07,1380,
+07DA001,1,1981/06/08,1380,
+07DA001,1,1981/06/09,1290,
+07DA001,1,1981/06/10,1190,
+07DA001,1,1981/06/11,1090,
+07DA001,1,1981/06/12,1020,
+07DA001,1,1981/06/13,958,
+07DA001,1,1981/06/14,894,
+07DA001,1,1981/06/15,841,
+07DA001,1,1981/06/16,821,
+07DA001,1,1981/06/17,830,
+07DA001,1,1981/06/18,846,
+07DA001,1,1981/06/19,843,
+07DA001,1,1981/06/20,847,
+07DA001,1,1981/06/21,874,
+07DA001,1,1981/06/22,893,
+07DA001,1,1981/06/23,902,
+07DA001,1,1981/06/24,879,
+07DA001,1,1981/06/25,850,
+07DA001,1,1981/06/26,832,
+07DA001,1,1981/06/27,825,E
+07DA001,1,1981/06/28,810,E
+07DA001,1,1981/06/29,800,E
+07DA001,1,1981/06/30,785,E
+07DA001,1,1981/07/01,765,E
+07DA001,1,1981/07/02,750,E
+07DA001,1,1981/07/03,765,E
+07DA001,1,1981/07/04,780,E
+07DA001,1,1981/07/05,780,E
+07DA001,1,1981/07/06,775,E
+07DA001,1,1981/07/07,775,E
+07DA001,1,1981/07/08,785,E
+07DA001,1,1981/07/09,790,E
+07DA001,1,1981/07/10,800,E
+07DA001,1,1981/07/11,815,E
+07DA001,1,1981/07/12,825,E
+07DA001,1,1981/07/13,830,E
+07DA001,1,1981/07/14,820,E
+07DA001,1,1981/07/15,810,E
+07DA001,1,1981/07/16,795,E
+07DA001,1,1981/07/17,785,E
+07DA001,1,1981/07/18,770,E
+07DA001,1,1981/07/19,795,E
+07DA001,1,1981/07/20,820,E
+07DA001,1,1981/07/21,850,E
+07DA001,1,1981/07/22,870,E
+07DA001,1,1981/07/23,823,A
+07DA001,1,1981/07/24,876,
+07DA001,1,1981/07/25,946,
+07DA001,1,1981/07/26,1100,
+07DA001,1,1981/07/27,1230,
+07DA001,1,1981/07/28,1260,
+07DA001,1,1981/07/29,1240,
+07DA001,1,1981/07/30,1220,
+07DA001,1,1981/07/31,1140,
+07DA001,1,1981/08/01,1070,
+07DA001,1,1981/08/02,1070,
+07DA001,1,1981/08/03,1180,
+07DA001,1,1981/08/04,1240,
+07DA001,1,1981/08/05,1260,
+07DA001,1,1981/08/06,1180,
+07DA001,1,1981/08/07,1100,
+07DA001,1,1981/08/08,1020,
+07DA001,1,1981/08/09,941,
+07DA001,1,1981/08/10,884,
+07DA001,1,1981/08/11,840,
+07DA001,1,1981/08/12,798,
+07DA001,1,1981/08/13,767,
+07DA001,1,1981/08/14,753,
+07DA001,1,1981/08/15,741,
+07DA001,1,1981/08/16,725,
+07DA001,1,1981/08/17,710,
+07DA001,1,1981/08/18,709,
+07DA001,1,1981/08/19,715,
+07DA001,1,1981/08/20,703,
+07DA001,1,1981/08/21,685,
+07DA001,1,1981/08/22,667,
+07DA001,1,1981/08/23,661,
+07DA001,1,1981/08/24,649,
+07DA001,1,1981/08/25,632,
+07DA001,1,1981/08/26,626,
+07DA001,1,1981/08/27,628,
+07DA001,1,1981/08/28,613,
+07DA001,1,1981/08/29,584,
+07DA001,1,1981/08/30,566,
+07DA001,1,1981/08/31,563,
+07DA001,1,1981/09/01,574,
+07DA001,1,1981/09/02,587,
+07DA001,1,1981/09/03,586,
+07DA001,1,1981/09/04,567,
+07DA001,1,1981/09/05,554,
+07DA001,1,1981/09/06,550,
+07DA001,1,1981/09/07,521,
+07DA001,1,1981/09/08,511,
+07DA001,1,1981/09/09,515,
+07DA001,1,1981/09/10,507,
+07DA001,1,1981/09/11,494,
+07DA001,1,1981/09/12,492,
+07DA001,1,1981/09/13,486,
+07DA001,1,1981/09/14,473,
+07DA001,1,1981/09/15,464,
+07DA001,1,1981/09/16,473,
+07DA001,1,1981/09/17,484,
+07DA001,1,1981/09/18,466,
+07DA001,1,1981/09/19,448,
+07DA001,1,1981/09/20,437,
+07DA001,1,1981/09/21,427,
+07DA001,1,1981/09/22,410,
+07DA001,1,1981/09/23,398,
+07DA001,1,1981/09/24,416,
+07DA001,1,1981/09/25,436,
+07DA001,1,1981/09/26,448,
+07DA001,1,1981/09/27,471,
+07DA001,1,1981/09/28,446,
+07DA001,1,1981/09/29,419,
+07DA001,1,1981/09/30,404,
+07DA001,1,1981/10/01,393,
+07DA001,1,1981/10/02,379,
+07DA001,1,1981/10/03,369,
+07DA001,1,1981/10/04,365,
+07DA001,1,1981/10/05,359,
+07DA001,1,1981/10/06,353,
+07DA001,1,1981/10/07,349,
+07DA001,1,1981/10/08,349,
+07DA001,1,1981/10/09,355,
+07DA001,1,1981/10/10,361,
+07DA001,1,1981/10/11,363,
+07DA001,1,1981/10/12,355,
+07DA001,1,1981/10/13,353,
+07DA001,1,1981/10/14,350,
+07DA001,1,1981/10/15,344,
+07DA001,1,1981/10/16,346,
+07DA001,1,1981/10/17,343,
+07DA001,1,1981/10/18,341,
+07DA001,1,1981/10/19,345,
+07DA001,1,1981/10/20,339,
+07DA001,1,1981/10/21,336,
+07DA001,1,1981/10/22,330,
+07DA001,1,1981/10/23,331,
+07DA001,1,1981/10/24,325,
+07DA001,1,1981/10/25,320,B
+07DA001,1,1981/10/26,315,B
+07DA001,1,1981/10/27,310,B
+07DA001,1,1981/10/28,305,B
+07DA001,1,1981/10/29,300,B
+07DA001,1,1981/10/30,300,B
+07DA001,1,1981/10/31,305,B
+07DA001,1,1981/11/01,310,B
+07DA001,1,1981/11/02,315,B
+07DA001,1,1981/11/03,320,B
+07DA001,1,1981/11/04,320,B
+07DA001,1,1981/11/05,315,B
+07DA001,1,1981/11/06,315,B
+07DA001,1,1981/11/07,310,B
+07DA001,1,1981/11/08,310,B
+07DA001,1,1981/11/09,335,B
+07DA001,1,1981/11/10,350,B
+07DA001,1,1981/11/11,360,B
+07DA001,1,1981/11/12,360,B
+07DA001,1,1981/11/13,350,B
+07DA001,1,1981/11/14,337,B
+07DA001,1,1981/11/15,293,B
+07DA001,1,1981/11/16,283,B
+07DA001,1,1981/11/17,280,B
+07DA001,1,1981/11/18,296,B
+07DA001,1,1981/11/19,285,B
+07DA001,1,1981/11/20,288,B
+07DA001,1,1981/11/21,259,B
+07DA001,1,1981/11/22,235,B
+07DA001,1,1981/11/23,231,B
+07DA001,1,1981/11/24,217,B
+07DA001,1,1981/11/25,209,B
+07DA001,1,1981/11/26,190,B
+07DA001,1,1981/11/27,175,B
+07DA001,1,1981/11/28,165,B
+07DA001,1,1981/11/29,150,B
+07DA001,1,1981/11/30,140,B
+07DA001,1,1981/12/01,130,B
+07DA001,1,1981/12/02,120,B
+07DA001,1,1981/12/03,120,B
+07DA001,1,1981/12/04,125,B
+07DA001,1,1981/12/05,125,B
+07DA001,1,1981/12/06,130,B
+07DA001,1,1981/12/07,120,B
+07DA001,1,1981/12/08,115,B
+07DA001,1,1981/12/09,110,B
+07DA001,1,1981/12/10,108,B
+07DA001,1,1981/12/11,105,B
+07DA001,1,1981/12/12,105,B
+07DA001,1,1981/12/13,105,B
+07DA001,1,1981/12/14,100,B
+07DA001,1,1981/12/15,100,B
+07DA001,1,1981/12/16,96.0,B
+07DA001,1,1981/12/17,94.0,B
+07DA001,1,1981/12/18,92.0,B
+07DA001,1,1981/12/19,94.0,B
+07DA001,1,1981/12/20,95.0,B
+07DA001,1,1981/12/21,97.0,B
+07DA001,1,1981/12/22,98.0,B
+07DA001,1,1981/12/23,100,B
+07DA001,1,1981/12/24,100,B
+07DA001,1,1981/12/25,104,B
+07DA001,1,1981/12/26,105,B
+07DA001,1,1981/12/27,106,B
+07DA001,1,1981/12/28,108,B
+07DA001,1,1981/12/29,108,B
+07DA001,1,1981/12/30,106,B
+07DA001,1,1981/12/31,105,B
+07DA001,1,1982/01/01,105,B
+07DA001,1,1982/01/02,104,B
+07DA001,1,1982/01/03,103,B
+07DA001,1,1982/01/04,102,B
+07DA001,1,1982/01/05,101,B
+07DA001,1,1982/01/06,100,B
+07DA001,1,1982/01/07,99.0,B
+07DA001,1,1982/01/08,98.0,B
+07DA001,1,1982/01/09,97.0,B
+07DA001,1,1982/01/10,96.0,B
+07DA001,1,1982/01/11,95.0,B
+07DA001,1,1982/01/12,96.0,B
+07DA001,1,1982/01/13,98.0,B
+07DA001,1,1982/01/14,102,B
+07DA001,1,1982/01/15,107,B
+07DA001,1,1982/01/16,110,B
+07DA001,1,1982/01/17,113,B
+07DA001,1,1982/01/18,115,B
+07DA001,1,1982/01/19,115,B
+07DA001,1,1982/01/20,115,B
+07DA001,1,1982/01/21,115,B
+07DA001,1,1982/01/22,115,B
+07DA001,1,1982/01/23,115,B
+07DA001,1,1982/01/24,119,B
+07DA001,1,1982/01/25,120,B
+07DA001,1,1982/01/26,123,B
+07DA001,1,1982/01/27,122,B
+07DA001,1,1982/01/28,120,B
+07DA001,1,1982/01/29,118,B
+07DA001,1,1982/01/30,116,B
+07DA001,1,1982/01/31,116,B
+07DA001,1,1982/02/01,116,B
+07DA001,1,1982/02/02,115,B
+07DA001,1,1982/02/03,115,B
+07DA001,1,1982/02/04,115,B
+07DA001,1,1982/02/05,115,B
+07DA001,1,1982/02/06,114,B
+07DA001,1,1982/02/07,114,B
+07DA001,1,1982/02/08,114,B
+07DA001,1,1982/02/09,114,B
+07DA001,1,1982/02/10,114,B
+07DA001,1,1982/02/11,114,B
+07DA001,1,1982/02/12,115,B
+07DA001,1,1982/02/13,114,B
+07DA001,1,1982/02/14,112,B
+07DA001,1,1982/02/15,111,B
+07DA001,1,1982/02/16,110,B
+07DA001,1,1982/02/17,109,B
+07DA001,1,1982/02/18,107,B
+07DA001,1,1982/02/19,104,B
+07DA001,1,1982/02/20,103,B
+07DA001,1,1982/02/21,102,B
+07DA001,1,1982/02/22,101,B
+07DA001,1,1982/02/23,100,B
+07DA001,1,1982/02/24,100,B
+07DA001,1,1982/02/25,99.0,B
+07DA001,1,1982/02/26,99.0,B
+07DA001,1,1982/02/27,98.0,B
+07DA001,1,1982/02/28,98.0,B
+07DA001,1,1982/03/01,98.0,B
+07DA001,1,1982/03/02,98.0,B
+07DA001,1,1982/03/03,98.0,B
+07DA001,1,1982/03/04,98.0,B
+07DA001,1,1982/03/05,97.0,B
+07DA001,1,1982/03/06,97.0,B
+07DA001,1,1982/03/07,96.0,B
+07DA001,1,1982/03/08,96.0,B
+07DA001,1,1982/03/09,96.0,B
+07DA001,1,1982/03/10,96.0,B
+07DA001,1,1982/03/11,96.0,B
+07DA001,1,1982/03/12,96.0,B
+07DA001,1,1982/03/13,97.0,B
+07DA001,1,1982/03/14,97.0,B
+07DA001,1,1982/03/15,97.0,B
+07DA001,1,1982/03/16,99.0,B
+07DA001,1,1982/03/17,100,B
+07DA001,1,1982/03/18,102,B
+07DA001,1,1982/03/19,104,B
+07DA001,1,1982/03/20,105,B
+07DA001,1,1982/03/21,108,B
+07DA001,1,1982/03/22,111,B
+07DA001,1,1982/03/23,113,B
+07DA001,1,1982/03/24,116,B
+07DA001,1,1982/03/25,119,B
+07DA001,1,1982/03/26,123,B
+07DA001,1,1982/03/27,126,B
+07DA001,1,1982/03/28,128,B
+07DA001,1,1982/03/29,130,B
+07DA001,1,1982/03/30,132,B
+07DA001,1,1982/03/31,133,B
+07DA001,1,1982/04/01,134,B
+07DA001,1,1982/04/02,134,B
+07DA001,1,1982/04/03,134,B
+07DA001,1,1982/04/04,134,B
+07DA001,1,1982/04/05,134,B
+07DA001,1,1982/04/06,134,B
+07DA001,1,1982/04/07,134,B
+07DA001,1,1982/04/08,134,B
+07DA001,1,1982/04/09,134,B
+07DA001,1,1982/04/10,134,B
+07DA001,1,1982/04/11,135,B
+07DA001,1,1982/04/12,138,B
+07DA001,1,1982/04/13,139,B
+07DA001,1,1982/04/14,141,B
+07DA001,1,1982/04/15,144,B
+07DA001,1,1982/04/16,146,B
+07DA001,1,1982/04/17,150,B
+07DA001,1,1982/04/18,158,B
+07DA001,1,1982/04/19,165,B
+07DA001,1,1982/04/20,175,B
+07DA001,1,1982/04/21,200,B
+07DA001,1,1982/04/22,250,B
+07DA001,1,1982/04/23,310,B
+07DA001,1,1982/04/24,350,B
+07DA001,1,1982/04/25,460,B
+07DA001,1,1982/04/26,560,B
+07DA001,1,1982/04/27,700,B
+07DA001,1,1982/04/28,900,B
+07DA001,1,1982/04/29,1050,B
+07DA001,1,1982/04/30,1150,B
+07DA001,1,1982/05/01,1260,B
+07DA001,1,1982/05/02,1240,
+07DA001,1,1982/05/03,1280,
+07DA001,1,1982/05/04,1340,
+07DA001,1,1982/05/05,1360,
+07DA001,1,1982/05/06,1340,
+07DA001,1,1982/05/07,1340,
+07DA001,1,1982/05/08,1310,
+07DA001,1,1982/05/09,1270,
+07DA001,1,1982/05/10,1170,
+07DA001,1,1982/05/11,1090,
+07DA001,1,1982/05/12,1060,
+07DA001,1,1982/05/13,1050,
+07DA001,1,1982/05/14,1030,
+07DA001,1,1982/05/15,1020,
+07DA001,1,1982/05/16,1050,
+07DA001,1,1982/05/17,1090,
+07DA001,1,1982/05/18,1080,
+07DA001,1,1982/05/19,1080,
+07DA001,1,1982/05/20,1110,
+07DA001,1,1982/05/21,1150,
+07DA001,1,1982/05/22,1170,
+07DA001,1,1982/05/23,1250,
+07DA001,1,1982/05/24,1220,
+07DA001,1,1982/05/25,1140,
+07DA001,1,1982/05/26,1070,
+07DA001,1,1982/05/27,1020,
+07DA001,1,1982/05/28,1010,
+07DA001,1,1982/05/29,985,
+07DA001,1,1982/05/30,944,
+07DA001,1,1982/05/31,995,
+07DA001,1,1982/06/01,1020,
+07DA001,1,1982/06/02,953,
+07DA001,1,1982/06/03,895,
+07DA001,1,1982/06/04,844,
+07DA001,1,1982/06/05,815,
+07DA001,1,1982/06/06,819,
+07DA001,1,1982/06/07,845,E
+07DA001,1,1982/06/08,890,E
+07DA001,1,1982/06/09,940,E
+07DA001,1,1982/06/10,1000,E
+07DA001,1,1982/06/11,1110,E
+07DA001,1,1982/06/12,1000,E
+07DA001,1,1982/06/13,930,E
+07DA001,1,1982/06/14,850,E
+07DA001,1,1982/06/15,820,E
+07DA001,1,1982/06/16,830,E
+07DA001,1,1982/06/17,850,E
+07DA001,1,1982/06/18,910,E
+07DA001,1,1982/06/19,970,E
+07DA001,1,1982/06/20,1040,E
+07DA001,1,1982/06/21,1060,E
+07DA001,1,1982/06/22,1000,E
+07DA001,1,1982/06/23,960,E
+07DA001,1,1982/06/24,1020,E
+07DA001,1,1982/06/25,1140,A
+07DA001,1,1982/06/26,1180,
+07DA001,1,1982/06/27,1230,
+07DA001,1,1982/06/28,1250,
+07DA001,1,1982/06/29,1180,
+07DA001,1,1982/06/30,1080,
+07DA001,1,1982/07/01,1040,
+07DA001,1,1982/07/02,1040,
+07DA001,1,1982/07/03,1250,
+07DA001,1,1982/07/04,1330,
+07DA001,1,1982/07/05,1270,
+07DA001,1,1982/07/06,1310,
+07DA001,1,1982/07/07,1790,
+07DA001,1,1982/07/08,2860,
+07DA001,1,1982/07/09,3490,
+07DA001,1,1982/07/10,3430,
+07DA001,1,1982/07/11,2980,
+07DA001,1,1982/07/12,2670,
+07DA001,1,1982/07/13,2390,
+07DA001,1,1982/07/14,2100,
+07DA001,1,1982/07/15,1860,
+07DA001,1,1982/07/16,1700,
+07DA001,1,1982/07/17,1570,
+07DA001,1,1982/07/18,2080,
+07DA001,1,1982/07/19,2710,
+07DA001,1,1982/07/20,2630,
+07DA001,1,1982/07/21,2420,
+07DA001,1,1982/07/22,2230,
+07DA001,1,1982/07/23,2080,
+07DA001,1,1982/07/24,2080,
+07DA001,1,1982/07/25,1980,A
+07DA001,1,1982/07/26,1840,E
+07DA001,1,1982/07/27,1700,E
+07DA001,1,1982/07/28,1600,E
+07DA001,1,1982/07/29,1500,E
+07DA001,1,1982/07/30,1410,E
+07DA001,1,1982/07/31,1330,E
+07DA001,1,1982/08/01,1230,E
+07DA001,1,1982/08/02,1160,E
+07DA001,1,1982/08/03,1070,E
+07DA001,1,1982/08/04,1060,E
+07DA001,1,1982/08/05,1120,E
+07DA001,1,1982/08/06,1350,E
+07DA001,1,1982/08/07,1540,E
+07DA001,1,1982/08/08,1650,A
+07DA001,1,1982/08/09,1590,
+07DA001,1,1982/08/10,1400,
+07DA001,1,1982/08/11,1250,
+07DA001,1,1982/08/12,1140,
+07DA001,1,1982/08/13,1070,
+07DA001,1,1982/08/14,1030,
+07DA001,1,1982/08/15,1020,
+07DA001,1,1982/08/16,1020,
+07DA001,1,1982/08/17,1010,
+07DA001,1,1982/08/18,961,
+07DA001,1,1982/08/19,910,
+07DA001,1,1982/08/20,880,
+07DA001,1,1982/08/21,896,
+07DA001,1,1982/08/22,906,
+07DA001,1,1982/08/23,880,
+07DA001,1,1982/08/24,842,
+07DA001,1,1982/08/25,809,
+07DA001,1,1982/08/26,781,
+07DA001,1,1982/08/27,781,
+07DA001,1,1982/08/28,779,
+07DA001,1,1982/08/29,786,
+07DA001,1,1982/08/30,786,
+07DA001,1,1982/08/31,786,
+07DA001,1,1982/09/01,821,
+07DA001,1,1982/09/02,846,
+07DA001,1,1982/09/03,865,
+07DA001,1,1982/09/04,875,
+07DA001,1,1982/09/05,851,
+07DA001,1,1982/09/06,832,
+07DA001,1,1982/09/07,800,
+07DA001,1,1982/09/08,767,
+07DA001,1,1982/09/09,781,
+07DA001,1,1982/09/10,901,
+07DA001,1,1982/09/11,986,
+07DA001,1,1982/09/12,946,
+07DA001,1,1982/09/13,900,
+07DA001,1,1982/09/14,902,
+07DA001,1,1982/09/15,974,
+07DA001,1,1982/09/16,991,
+07DA001,1,1982/09/17,916,
+07DA001,1,1982/09/18,853,
+07DA001,1,1982/09/19,803,
+07DA001,1,1982/09/20,754,
+07DA001,1,1982/09/21,716,
+07DA001,1,1982/09/22,685,
+07DA001,1,1982/09/23,662,
+07DA001,1,1982/09/24,644,
+07DA001,1,1982/09/25,635,
+07DA001,1,1982/09/26,622,
+07DA001,1,1982/09/27,612,
+07DA001,1,1982/09/28,596,
+07DA001,1,1982/09/29,589,
+07DA001,1,1982/09/30,587,
+07DA001,1,1982/10/01,582,
+07DA001,1,1982/10/02,582,
+07DA001,1,1982/10/03,632,
+07DA001,1,1982/10/04,674,
+07DA001,1,1982/10/05,715,
+07DA001,1,1982/10/06,700,
+07DA001,1,1982/10/07,674,
+07DA001,1,1982/10/08,669,
+07DA001,1,1982/10/09,712,
+07DA001,1,1982/10/10,735,
+07DA001,1,1982/10/11,708,
+07DA001,1,1982/10/12,674,
+07DA001,1,1982/10/13,652,
+07DA001,1,1982/10/14,635,
+07DA001,1,1982/10/15,611,
+07DA001,1,1982/10/16,596,
+07DA001,1,1982/10/17,583,
+07DA001,1,1982/10/18,577,
+07DA001,1,1982/10/19,572,
+07DA001,1,1982/10/20,563,
+07DA001,1,1982/10/21,562,
+07DA001,1,1982/10/22,574,
+07DA001,1,1982/10/23,580,
+07DA001,1,1982/10/24,581,
+07DA001,1,1982/10/25,568,
+07DA001,1,1982/10/26,549,
+07DA001,1,1982/10/27,537,
+07DA001,1,1982/10/28,533,
+07DA001,1,1982/10/29,527,
+07DA001,1,1982/10/30,516,
+07DA001,1,1982/10/31,511,
+07DA001,1,1982/11/01,504,
+07DA001,1,1982/11/02,479,
+07DA001,1,1982/11/03,466,B
+07DA001,1,1982/11/04,425,B
+07DA001,1,1982/11/05,411,B
+07DA001,1,1982/11/06,394,B
+07DA001,1,1982/11/07,439,B
+07DA001,1,1982/11/08,440,B
+07DA001,1,1982/11/09,429,B
+07DA001,1,1982/11/10,448,B
+07DA001,1,1982/11/11,408,B
+07DA001,1,1982/11/12,348,B
+07DA001,1,1982/11/13,312,B
+07DA001,1,1982/11/14,330,B
+07DA001,1,1982/11/15,314,B
+07DA001,1,1982/11/16,313,B
+07DA001,1,1982/11/17,325,B
+07DA001,1,1982/11/18,263,B
+07DA001,1,1982/11/19,226,B
+07DA001,1,1982/11/20,208,B
+07DA001,1,1982/11/21,218,B
+07DA001,1,1982/11/22,200,B
+07DA001,1,1982/11/23,203,B
+07DA001,1,1982/11/24,223,B
+07DA001,1,1982/11/25,296,B
+07DA001,1,1982/11/26,289,B
+07DA001,1,1982/11/27,279,B
+07DA001,1,1982/11/28,291,B
+07DA001,1,1982/11/29,347,B
+07DA001,1,1982/11/30,357,B
+07DA001,1,1982/12/01,341,B
+07DA001,1,1982/12/02,319,B
+07DA001,1,1982/12/03,289,B
+07DA001,1,1982/12/04,264,B
+07DA001,1,1982/12/05,251,B
+07DA001,1,1982/12/06,256,B
+07DA001,1,1982/12/07,268,B
+07DA001,1,1982/12/08,271,B
+07DA001,1,1982/12/09,299,B
+07DA001,1,1982/12/10,307,B
+07DA001,1,1982/12/11,304,B
+07DA001,1,1982/12/12,296,B
+07DA001,1,1982/12/13,273,B
+07DA001,1,1982/12/14,242,B
+07DA001,1,1982/12/15,224,B
+07DA001,1,1982/12/16,207,B
+07DA001,1,1982/12/17,203,B
+07DA001,1,1982/12/18,201,B
+07DA001,1,1982/12/19,193,B
+07DA001,1,1982/12/20,188,B
+07DA001,1,1982/12/21,182,B
+07DA001,1,1982/12/22,177,B
+07DA001,1,1982/12/23,178,B
+07DA001,1,1982/12/24,184,B
+07DA001,1,1982/12/25,184,B
+07DA001,1,1982/12/26,187,B
+07DA001,1,1982/12/27,186,B
+07DA001,1,1982/12/28,187,B
+07DA001,1,1982/12/29,188,B
+07DA001,1,1982/12/30,187,B
+07DA001,1,1982/12/31,186,B
+07DA001,1,1983/01/01,188,B
+07DA001,1,1983/01/02,184,B
+07DA001,1,1983/01/03,178,B
+07DA001,1,1983/01/04,173,B
+07DA001,1,1983/01/05,168,B
+07DA001,1,1983/01/06,167,B
+07DA001,1,1983/01/07,169,B
+07DA001,1,1983/01/08,170,B
+07DA001,1,1983/01/09,172,B
+07DA001,1,1983/01/10,171,B
+07DA001,1,1983/01/11,167,B
+07DA001,1,1983/01/12,166,B
+07DA001,1,1983/01/13,163,B
+07DA001,1,1983/01/14,163,B
+07DA001,1,1983/01/15,165,B
+07DA001,1,1983/01/16,167,B
+07DA001,1,1983/01/17,168,B
+07DA001,1,1983/01/18,164,B
+07DA001,1,1983/01/19,165,B
+07DA001,1,1983/01/20,167,B
+07DA001,1,1983/01/21,169,B
+07DA001,1,1983/01/22,171,B
+07DA001,1,1983/01/23,170,B
+07DA001,1,1983/01/24,171,B
+07DA001,1,1983/01/25,172,B
+07DA001,1,1983/01/26,172,B
+07DA001,1,1983/01/27,171,B
+07DA001,1,1983/01/28,170,B
+07DA001,1,1983/01/29,169,B
+07DA001,1,1983/01/30,169,B
+07DA001,1,1983/01/31,169,B
+07DA001,1,1983/02/01,169,B
+07DA001,1,1983/02/02,165,B
+07DA001,1,1983/02/03,163,B
+07DA001,1,1983/02/04,161,B
+07DA001,1,1983/02/05,157,B
+07DA001,1,1983/02/06,154,B
+07DA001,1,1983/02/07,153,B
+07DA001,1,1983/02/08,152,B
+07DA001,1,1983/02/09,156,B
+07DA001,1,1983/02/10,159,B
+07DA001,1,1983/02/11,159,B
+07DA001,1,1983/02/12,159,B
+07DA001,1,1983/02/13,160,B
+07DA001,1,1983/02/14,160,B
+07DA001,1,1983/02/15,159,B
+07DA001,1,1983/02/16,157,B
+07DA001,1,1983/02/17,156,B
+07DA001,1,1983/02/18,155,B
+07DA001,1,1983/02/19,150,B
+07DA001,1,1983/02/20,146,B
+07DA001,1,1983/02/21,150,B
+07DA001,1,1983/02/22,155,B
+07DA001,1,1983/02/23,156,B
+07DA001,1,1983/02/24,159,B
+07DA001,1,1983/02/25,160,B
+07DA001,1,1983/02/26,159,B
+07DA001,1,1983/02/27,158,B
+07DA001,1,1983/02/28,158,B
+07DA001,1,1983/03/01,157,B
+07DA001,1,1983/03/02,156,B
+07DA001,1,1983/03/03,157,B
+07DA001,1,1983/03/04,157,B
+07DA001,1,1983/03/05,157,B
+07DA001,1,1983/03/06,157,B
+07DA001,1,1983/03/07,158,B
+07DA001,1,1983/03/08,158,B
+07DA001,1,1983/03/09,161,B
+07DA001,1,1983/03/10,163,B
+07DA001,1,1983/03/11,161,B
+07DA001,1,1983/03/12,160,B
+07DA001,1,1983/03/13,160,B
+07DA001,1,1983/03/14,161,B
+07DA001,1,1983/03/15,160,B
+07DA001,1,1983/03/16,159,B
+07DA001,1,1983/03/17,159,B
+07DA001,1,1983/03/18,159,B
+07DA001,1,1983/03/19,160,B
+07DA001,1,1983/03/20,159,B
+07DA001,1,1983/03/21,161,B
+07DA001,1,1983/03/22,165,B
+07DA001,1,1983/03/23,167,B
+07DA001,1,1983/03/24,167,B
+07DA001,1,1983/03/25,167,B
+07DA001,1,1983/03/26,168,B
+07DA001,1,1983/03/27,168,B
+07DA001,1,1983/03/28,169,B
+07DA001,1,1983/03/29,168,B
+07DA001,1,1983/03/30,168,B
+07DA001,1,1983/03/31,167,B
+07DA001,1,1983/04/01,165,B
+07DA001,1,1983/04/02,166,B
+07DA001,1,1983/04/03,169,B
+07DA001,1,1983/04/04,175,B
+07DA001,1,1983/04/05,180,B
+07DA001,1,1983/04/06,187,B
+07DA001,1,1983/04/07,200,B
+07DA001,1,1983/04/08,207,B
+07DA001,1,1983/04/09,211,B
+07DA001,1,1983/04/10,226,B
+07DA001,1,1983/04/11,247,B
+07DA001,1,1983/04/12,263,B
+07DA001,1,1983/04/13,272,B
+07DA001,1,1983/04/14,289,B
+07DA001,1,1983/04/15,306,B
+07DA001,1,1983/04/16,348,B
+07DA001,1,1983/04/17,374,B
+07DA001,1,1983/04/18,469,B
+07DA001,1,1983/04/19,434,B
+07DA001,1,1983/04/20,455,B
+07DA001,1,1983/04/21,596,B
+07DA001,1,1983/04/22,639,B
+07DA001,1,1983/04/23,729,B
+07DA001,1,1983/04/24,712,B
+07DA001,1,1983/04/25,735,B
+07DA001,1,1983/04/26,859,
+07DA001,1,1983/04/27,834,
+07DA001,1,1983/04/28,758,
+07DA001,1,1983/04/29,696,
+07DA001,1,1983/04/30,652,
+07DA001,1,1983/05/01,607,
+07DA001,1,1983/05/02,599,
+07DA001,1,1983/05/03,588,
+07DA001,1,1983/05/04,559,
+07DA001,1,1983/05/05,540,
+07DA001,1,1983/05/06,522,
+07DA001,1,1983/05/07,516,
+07DA001,1,1983/05/08,515,
+07DA001,1,1983/05/09,507,
+07DA001,1,1983/05/10,499,
+07DA001,1,1983/05/11,497,
+07DA001,1,1983/05/12,501,
+07DA001,1,1983/05/13,511,
+07DA001,1,1983/05/14,544,
+07DA001,1,1983/05/15,554,
+07DA001,1,1983/05/16,547,
+07DA001,1,1983/05/17,540,
+07DA001,1,1983/05/18,535,
+07DA001,1,1983/05/19,523,
+07DA001,1,1983/05/20,517,
+07DA001,1,1983/05/21,524,
+07DA001,1,1983/05/22,544,
+07DA001,1,1983/05/23,559,
+07DA001,1,1983/05/24,563,
+07DA001,1,1983/05/25,566,
+07DA001,1,1983/05/26,571,
+07DA001,1,1983/05/27,562,
+07DA001,1,1983/05/28,557,
+07DA001,1,1983/05/29,565,
+07DA001,1,1983/05/30,574,
+07DA001,1,1983/05/31,600,
+07DA001,1,1983/06/01,642,
+07DA001,1,1983/06/02,664,
+07DA001,1,1983/06/03,656,
+07DA001,1,1983/06/04,711,
+07DA001,1,1983/06/05,882,
+07DA001,1,1983/06/06,948,
+07DA001,1,1983/06/07,928,
+07DA001,1,1983/06/08,876,
+07DA001,1,1983/06/09,816,
+07DA001,1,1983/06/10,763,
+07DA001,1,1983/06/11,735,
+07DA001,1,1983/06/12,716,
+07DA001,1,1983/06/13,717,
+07DA001,1,1983/06/14,752,
+07DA001,1,1983/06/15,773,
+07DA001,1,1983/06/16,785,
+07DA001,1,1983/06/17,758,
+07DA001,1,1983/06/18,721,
+07DA001,1,1983/06/19,674,
+07DA001,1,1983/06/20,650,
+07DA001,1,1983/06/21,663,
+07DA001,1,1983/06/22,691,
+07DA001,1,1983/06/23,756,
+07DA001,1,1983/06/24,1040,
+07DA001,1,1983/06/25,1220,
+07DA001,1,1983/06/26,1170,
+07DA001,1,1983/06/27,1120,
+07DA001,1,1983/06/28,1210,
+07DA001,1,1983/06/29,1660,
+07DA001,1,1983/06/30,1790,
+07DA001,1,1983/07/01,1600,
+07DA001,1,1983/07/02,1450,
+07DA001,1,1983/07/03,1350,
+07DA001,1,1983/07/04,1280,
+07DA001,1,1983/07/05,1340,
+07DA001,1,1983/07/06,1550,
+07DA001,1,1983/07/07,1590,
+07DA001,1,1983/07/08,1590,
+07DA001,1,1983/07/09,1550,
+07DA001,1,1983/07/10,1460,
+07DA001,1,1983/07/11,1430,
+07DA001,1,1983/07/12,1530,
+07DA001,1,1983/07/13,1560,
+07DA001,1,1983/07/14,1510,
+07DA001,1,1983/07/15,1510,
+07DA001,1,1983/07/16,1470,
+07DA001,1,1983/07/17,1420,
+07DA001,1,1983/07/18,1490,
+07DA001,1,1983/07/19,1570,
+07DA001,1,1983/07/20,1660,
+07DA001,1,1983/07/21,1710,
+07DA001,1,1983/07/22,1870,
+07DA001,1,1983/07/23,2070,
+07DA001,1,1983/07/24,2060,
+07DA001,1,1983/07/25,1950,
+07DA001,1,1983/07/26,1790,
+07DA001,1,1983/07/27,1760,
+07DA001,1,1983/07/28,1840,
+07DA001,1,1983/07/29,1920,
+07DA001,1,1983/07/30,2160,
+07DA001,1,1983/07/31,2290,
+07DA001,1,1983/08/01,2120,
+07DA001,1,1983/08/02,1920,
+07DA001,1,1983/08/03,1770,
+07DA001,1,1983/08/04,1640,
+07DA001,1,1983/08/05,1500,
+07DA001,1,1983/08/06,1420,
+07DA001,1,1983/08/07,1390,
+07DA001,1,1983/08/08,1340,
+07DA001,1,1983/08/09,1280,
+07DA001,1,1983/08/10,1200,
+07DA001,1,1983/08/11,1120,
+07DA001,1,1983/08/12,1060,
+07DA001,1,1983/08/13,1010,
+07DA001,1,1983/08/14,968,
+07DA001,1,1983/08/15,950,
+07DA001,1,1983/08/16,943,
+07DA001,1,1983/08/17,945,
+07DA001,1,1983/08/18,938,
+07DA001,1,1983/08/19,908,
+07DA001,1,1983/08/20,892,
+07DA001,1,1983/08/21,896,
+07DA001,1,1983/08/22,863,
+07DA001,1,1983/08/23,819,
+07DA001,1,1983/08/24,785,
+07DA001,1,1983/08/25,753,
+07DA001,1,1983/08/26,719,
+07DA001,1,1983/08/27,693,
+07DA001,1,1983/08/28,670,
+07DA001,1,1983/08/29,653,
+07DA001,1,1983/08/30,642,
+07DA001,1,1983/08/31,639,
+07DA001,1,1983/09/01,635,
+07DA001,1,1983/09/02,633,
+07DA001,1,1983/09/03,630,
+07DA001,1,1983/09/04,633,
+07DA001,1,1983/09/05,643,
+07DA001,1,1983/09/06,649,
+07DA001,1,1983/09/07,677,
+07DA001,1,1983/09/08,716,
+07DA001,1,1983/09/09,728,
+07DA001,1,1983/09/10,718,
+07DA001,1,1983/09/11,708,
+07DA001,1,1983/09/12,692,
+07DA001,1,1983/09/13,658,
+07DA001,1,1983/09/14,637,
+07DA001,1,1983/09/15,621,
+07DA001,1,1983/09/16,607,
+07DA001,1,1983/09/17,596,
+07DA001,1,1983/09/18,584,
+07DA001,1,1983/09/19,582,
+07DA001,1,1983/09/20,581,
+07DA001,1,1983/09/21,576,
+07DA001,1,1983/09/22,571,
+07DA001,1,1983/09/23,574,
+07DA001,1,1983/09/24,578,
+07DA001,1,1983/09/25,578,
+07DA001,1,1983/09/26,565,
+07DA001,1,1983/09/27,550,
+07DA001,1,1983/09/28,533,
+07DA001,1,1983/09/29,522,
+07DA001,1,1983/09/30,515,
+07DA001,1,1983/10/01,508,
+07DA001,1,1983/10/02,507,
+07DA001,1,1983/10/03,507,
+07DA001,1,1983/10/04,522,
+07DA001,1,1983/10/05,528,
+07DA001,1,1983/10/06,518,
+07DA001,1,1983/10/07,503,
+07DA001,1,1983/10/08,492,
+07DA001,1,1983/10/09,485,
+07DA001,1,1983/10/10,482,
+07DA001,1,1983/10/11,475,
+07DA001,1,1983/10/12,470,
+07DA001,1,1983/10/13,470,
+07DA001,1,1983/10/14,477,
+07DA001,1,1983/10/15,487,
+07DA001,1,1983/10/16,485,
+07DA001,1,1983/10/17,484,
+07DA001,1,1983/10/18,482,
+07DA001,1,1983/10/19,485,
+07DA001,1,1983/10/20,484,
+07DA001,1,1983/10/21,480,
+07DA001,1,1983/10/22,480,
+07DA001,1,1983/10/23,483,
+07DA001,1,1983/10/24,478,
+07DA001,1,1983/10/25,472,
+07DA001,1,1983/10/26,469,
+07DA001,1,1983/10/27,465,
+07DA001,1,1983/10/28,460,
+07DA001,1,1983/10/29,454,
+07DA001,1,1983/10/30,452,
+07DA001,1,1983/10/31,448,
+07DA001,1,1983/11/01,450,
+07DA001,1,1983/11/02,447,
+07DA001,1,1983/11/03,470,
+07DA001,1,1983/11/04,590,
+07DA001,1,1983/11/05,599,
+07DA001,1,1983/11/06,576,
+07DA001,1,1983/11/07,570,
+07DA001,1,1983/11/08,568,
+07DA001,1,1983/11/09,573,
+07DA001,1,1983/11/10,561,
+07DA001,1,1983/11/11,532,
+07DA001,1,1983/11/12,518,
+07DA001,1,1983/11/13,508,
+07DA001,1,1983/11/14,514,
+07DA001,1,1983/11/15,518,
+07DA001,1,1983/11/16,496,
+07DA001,1,1983/11/17,478,
+07DA001,1,1983/11/18,470,
+07DA001,1,1983/11/19,478,
+07DA001,1,1983/11/20,487,
+07DA001,1,1983/11/21,478,
+07DA001,1,1983/11/22,466,B
+07DA001,1,1983/11/23,453,B
+07DA001,1,1983/11/24,442,B
+07DA001,1,1983/11/25,431,B
+07DA001,1,1983/11/26,421,B
+07DA001,1,1983/11/27,413,B
+07DA001,1,1983/11/28,405,B
+07DA001,1,1983/11/29,398,B
+07DA001,1,1983/11/30,375,B
+07DA001,1,1983/12/01,360,B
+07DA001,1,1983/12/02,343,B
+07DA001,1,1983/12/03,324,B
+07DA001,1,1983/12/04,305,B
+07DA001,1,1983/12/05,288,B
+07DA001,1,1983/12/06,271,B
+07DA001,1,1983/12/07,258,B
+07DA001,1,1983/12/08,245,B
+07DA001,1,1983/12/09,231,B
+07DA001,1,1983/12/10,222,B
+07DA001,1,1983/12/11,210,B
+07DA001,1,1983/12/12,207,B
+07DA001,1,1983/12/13,206,B
+07DA001,1,1983/12/14,200,B
+07DA001,1,1983/12/15,194,B
+07DA001,1,1983/12/16,184,B
+07DA001,1,1983/12/17,173,B
+07DA001,1,1983/12/18,168,B
+07DA001,1,1983/12/19,166,B
+07DA001,1,1983/12/20,166,B
+07DA001,1,1983/12/21,160,B
+07DA001,1,1983/12/22,159,B
+07DA001,1,1983/12/23,165,B
+07DA001,1,1983/12/24,167,B
+07DA001,1,1983/12/25,167,B
+07DA001,1,1983/12/26,171,B
+07DA001,1,1983/12/27,170,B
+07DA001,1,1983/12/28,177,B
+07DA001,1,1983/12/29,178,B
+07DA001,1,1983/12/30,174,B
+07DA001,1,1983/12/31,169,B
+07DA001,1,1984/01/01,167,B
+07DA001,1,1984/01/02,167,B
+07DA001,1,1984/01/03,168,B
+07DA001,1,1984/01/04,168,B
+07DA001,1,1984/01/05,168,B
+07DA001,1,1984/01/06,171,B
+07DA001,1,1984/01/07,173,B
+07DA001,1,1984/01/08,175,B
+07DA001,1,1984/01/09,177,B
+07DA001,1,1984/01/10,179,B
+07DA001,1,1984/01/11,182,B
+07DA001,1,1984/01/12,185,B
+07DA001,1,1984/01/13,186,B
+07DA001,1,1984/01/14,188,B
+07DA001,1,1984/01/15,189,B
+07DA001,1,1984/01/16,189,B
+07DA001,1,1984/01/17,188,B
+07DA001,1,1984/01/18,186,B
+07DA001,1,1984/01/19,184,B
+07DA001,1,1984/01/20,178,B
+07DA001,1,1984/01/21,173,B
+07DA001,1,1984/01/22,173,B
+07DA001,1,1984/01/23,175,B
+07DA001,1,1984/01/24,175,B
+07DA001,1,1984/01/25,176,B
+07DA001,1,1984/01/26,176,B
+07DA001,1,1984/01/27,176,B
+07DA001,1,1984/01/28,178,B
+07DA001,1,1984/01/29,179,B
+07DA001,1,1984/01/30,179,B
+07DA001,1,1984/01/31,179,B
+07DA001,1,1984/02/01,178,B
+07DA001,1,1984/02/02,178,B
+07DA001,1,1984/02/03,183,B
+07DA001,1,1984/02/04,186,B
+07DA001,1,1984/02/05,187,B
+07DA001,1,1984/02/06,189,B
+07DA001,1,1984/02/07,190,B
+07DA001,1,1984/02/08,191,B
+07DA001,1,1984/02/09,192,B
+07DA001,1,1984/02/10,190,B
+07DA001,1,1984/02/11,189,B
+07DA001,1,1984/02/12,188,B
+07DA001,1,1984/02/13,187,B
+07DA001,1,1984/02/14,187,B
+07DA001,1,1984/02/15,188,B
+07DA001,1,1984/02/16,188,B
+07DA001,1,1984/02/17,188,B
+07DA001,1,1984/02/18,189,B
+07DA001,1,1984/02/19,189,B
+07DA001,1,1984/02/20,189,B
+07DA001,1,1984/02/21,190,B
+07DA001,1,1984/02/22,189,B
+07DA001,1,1984/02/23,188,B
+07DA001,1,1984/02/24,188,B
+07DA001,1,1984/02/25,188,B
+07DA001,1,1984/02/26,186,B
+07DA001,1,1984/02/27,185,B
+07DA001,1,1984/02/28,184,B
+07DA001,1,1984/02/29,182,B
+07DA001,1,1984/03/01,180,B
+07DA001,1,1984/03/02,182,B
+07DA001,1,1984/03/03,184,B
+07DA001,1,1984/03/04,183,B
+07DA001,1,1984/03/05,181,B
+07DA001,1,1984/03/06,179,B
+07DA001,1,1984/03/07,180,B
+07DA001,1,1984/03/08,181,B
+07DA001,1,1984/03/09,181,B
+07DA001,1,1984/03/10,181,B
+07DA001,1,1984/03/11,181,B
+07DA001,1,1984/03/12,181,B
+07DA001,1,1984/03/13,181,B
+07DA001,1,1984/03/14,181,B
+07DA001,1,1984/03/15,181,B
+07DA001,1,1984/03/16,181,B
+07DA001,1,1984/03/17,181,B
+07DA001,1,1984/03/18,181,B
+07DA001,1,1984/03/19,182,B
+07DA001,1,1984/03/20,182,B
+07DA001,1,1984/03/21,183,B
+07DA001,1,1984/03/22,184,B
+07DA001,1,1984/03/23,186,B
+07DA001,1,1984/03/24,190,B
+07DA001,1,1984/03/25,194,B
+07DA001,1,1984/03/26,200,B
+07DA001,1,1984/03/27,205,B
+07DA001,1,1984/03/28,210,B
+07DA001,1,1984/03/29,216,B
+07DA001,1,1984/03/30,224,B
+07DA001,1,1984/03/31,230,B
+07DA001,1,1984/04/01,238,B
+07DA001,1,1984/04/02,245,B
+07DA001,1,1984/04/03,257,B
+07DA001,1,1984/04/04,277,B
+07DA001,1,1984/04/05,293,B
+07DA001,1,1984/04/06,332,B
+07DA001,1,1984/04/07,376,B
+07DA001,1,1984/04/08,408,B
+07DA001,1,1984/04/09,444,B
+07DA001,1,1984/04/10,468,B
+07DA001,1,1984/04/11,492,B
+07DA001,1,1984/04/12,520,B
+07DA001,1,1984/04/13,592,B
+07DA001,1,1984/04/14,598,B
+07DA001,1,1984/04/15,600,B
+07DA001,1,1984/04/16,592,B
+07DA001,1,1984/04/17,576,B
+07DA001,1,1984/04/18,557,
+07DA001,1,1984/04/19,533,
+07DA001,1,1984/04/20,509,
+07DA001,1,1984/04/21,492,
+07DA001,1,1984/04/22,483,
+07DA001,1,1984/04/23,507,
+07DA001,1,1984/04/24,555,
+07DA001,1,1984/04/25,564,
+07DA001,1,1984/04/26,537,
+07DA001,1,1984/04/27,528,
+07DA001,1,1984/04/28,527,
+07DA001,1,1984/04/29,519,
+07DA001,1,1984/04/30,501,
+07DA001,1,1984/05/01,472,
+07DA001,1,1984/05/02,448,
+07DA001,1,1984/05/03,436,
+07DA001,1,1984/05/04,433,
+07DA001,1,1984/05/05,434,
+07DA001,1,1984/05/06,437,
+07DA001,1,1984/05/07,446,
+07DA001,1,1984/05/08,446,
+07DA001,1,1984/05/09,444,
+07DA001,1,1984/05/10,445,
+07DA001,1,1984/05/11,471,
+07DA001,1,1984/05/12,469,
+07DA001,1,1984/05/13,464,
+07DA001,1,1984/05/14,469,
+07DA001,1,1984/05/15,507,
+07DA001,1,1984/05/16,553,
+07DA001,1,1984/05/17,550,
+07DA001,1,1984/05/18,554,
+07DA001,1,1984/05/19,575,
+07DA001,1,1984/05/20,615,
+07DA001,1,1984/05/21,782,
+07DA001,1,1984/05/22,1250,
+07DA001,1,1984/05/23,1290,
+07DA001,1,1984/05/24,1220,
+07DA001,1,1984/05/25,1160,
+07DA001,1,1984/05/26,1110,
+07DA001,1,1984/05/27,1070,
+07DA001,1,1984/05/28,1030,
+07DA001,1,1984/05/29,989,
+07DA001,1,1984/05/30,941,
+07DA001,1,1984/05/31,915,
+07DA001,1,1984/06/01,1000,
+07DA001,1,1984/06/02,1330,
+07DA001,1,1984/06/03,1520,
+07DA001,1,1984/06/04,1540,
+07DA001,1,1984/06/05,1560,
+07DA001,1,1984/06/06,1630,
+07DA001,1,1984/06/07,1560,
+07DA001,1,1984/06/08,1460,
+07DA001,1,1984/06/09,1380,
+07DA001,1,1984/06/10,1350,
+07DA001,1,1984/06/11,1700,
+07DA001,1,1984/06/12,1940,
+07DA001,1,1984/06/13,1910,
+07DA001,1,1984/06/14,1880,
+07DA001,1,1984/06/15,1750,
+07DA001,1,1984/06/16,1640,
+07DA001,1,1984/06/17,1650,
+07DA001,1,1984/06/18,1680,
+07DA001,1,1984/06/19,1680,
+07DA001,1,1984/06/20,1730,
+07DA001,1,1984/06/21,1740,
+07DA001,1,1984/06/22,1630,
+07DA001,1,1984/06/23,1450,
+07DA001,1,1984/06/24,1290,
+07DA001,1,1984/06/25,1180,
+07DA001,1,1984/06/26,1090,
+07DA001,1,1984/06/27,1040,
+07DA001,1,1984/06/28,1060,
+07DA001,1,1984/06/29,1160,
+07DA001,1,1984/06/30,1240,
+07DA001,1,1984/07/01,1250,
+07DA001,1,1984/07/02,1230,
+07DA001,1,1984/07/03,1300,
+07DA001,1,1984/07/04,1520,
+07DA001,1,1984/07/05,1580,
+07DA001,1,1984/07/06,1400,
+07DA001,1,1984/07/07,1250,
+07DA001,1,1984/07/08,1210,
+07DA001,1,1984/07/09,1200,
+07DA001,1,1984/07/10,1230,
+07DA001,1,1984/07/11,1330,
+07DA001,1,1984/07/12,1360,
+07DA001,1,1984/07/13,1270,
+07DA001,1,1984/07/14,1170,
+07DA001,1,1984/07/15,1110,
+07DA001,1,1984/07/16,1080,
+07DA001,1,1984/07/17,1090,
+07DA001,1,1984/07/18,1120,
+07DA001,1,1984/07/19,1100,
+07DA001,1,1984/07/20,1050,
+07DA001,1,1984/07/21,1000,
+07DA001,1,1984/07/22,985,
+07DA001,1,1984/07/23,992,
+07DA001,1,1984/07/24,1010,
+07DA001,1,1984/07/25,986,
+07DA001,1,1984/07/26,936,
+07DA001,1,1984/07/27,877,
+07DA001,1,1984/07/28,815,
+07DA001,1,1984/07/29,762,
+07DA001,1,1984/07/30,734,
+07DA001,1,1984/07/31,732,
+07DA001,1,1984/08/01,756,
+07DA001,1,1984/08/02,817,
+07DA001,1,1984/08/03,873,
+07DA001,1,1984/08/04,858,
+07DA001,1,1984/08/05,819,
+07DA001,1,1984/08/06,802,
+07DA001,1,1984/08/07,802,
+07DA001,1,1984/08/08,803,
+07DA001,1,1984/08/09,799,
+07DA001,1,1984/08/10,795,
+07DA001,1,1984/08/11,790,
+07DA001,1,1984/08/12,784,
+07DA001,1,1984/08/13,795,
+07DA001,1,1984/08/14,760,
+07DA001,1,1984/08/15,703,
+07DA001,1,1984/08/16,713,
+07DA001,1,1984/08/17,733,
+07DA001,1,1984/08/18,728,
+07DA001,1,1984/08/19,727,
+07DA001,1,1984/08/20,704,
+07DA001,1,1984/08/21,667,
+07DA001,1,1984/08/22,654,A
+07DA001,1,1984/08/23,640,E
+07DA001,1,1984/08/24,640,E
+07DA001,1,1984/08/25,636,E
+07DA001,1,1984/08/26,620,E
+07DA001,1,1984/08/27,600,E
+07DA001,1,1984/08/28,584,E
+07DA001,1,1984/08/29,582,E
+07DA001,1,1984/08/30,585,E
+07DA001,1,1984/08/31,602,E
+07DA001,1,1984/09/01,608,E
+07DA001,1,1984/09/02,622,E
+07DA001,1,1984/09/03,680,A
+07DA001,1,1984/09/04,692,A
+07DA001,1,1984/09/05,646,E
+07DA001,1,1984/09/06,620,E
+07DA001,1,1984/09/07,594,E
+07DA001,1,1984/09/08,585,E
+07DA001,1,1984/09/09,604,E
+07DA001,1,1984/09/10,638,E
+07DA001,1,1984/09/11,654,A
+07DA001,1,1984/09/12,755,
+07DA001,1,1984/09/13,866,
+07DA001,1,1984/09/14,889,
+07DA001,1,1984/09/15,879,
+07DA001,1,1984/09/16,889,
+07DA001,1,1984/09/17,899,
+07DA001,1,1984/09/18,877,
+07DA001,1,1984/09/19,836,
+07DA001,1,1984/09/20,792,
+07DA001,1,1984/09/21,750,
+07DA001,1,1984/09/22,719,
+07DA001,1,1984/09/23,726,
+07DA001,1,1984/09/24,1040,
+07DA001,1,1984/09/25,1210,
+07DA001,1,1984/09/26,1230,
+07DA001,1,1984/09/27,1160,
+07DA001,1,1984/09/28,1040,
+07DA001,1,1984/09/29,965,
+07DA001,1,1984/09/30,907,
+07DA001,1,1984/10/01,853,
+07DA001,1,1984/10/02,799,
+07DA001,1,1984/10/03,749,
+07DA001,1,1984/10/04,713,
+07DA001,1,1984/10/05,692,
+07DA001,1,1984/10/06,670,
+07DA001,1,1984/10/07,655,
+07DA001,1,1984/10/08,647,
+07DA001,1,1984/10/09,664,
+07DA001,1,1984/10/10,724,
+07DA001,1,1984/10/11,763,
+07DA001,1,1984/10/12,760,
+07DA001,1,1984/10/13,738,
+07DA001,1,1984/10/14,720,
+07DA001,1,1984/10/15,731,
+07DA001,1,1984/10/16,765,
+07DA001,1,1984/10/17,765,
+07DA001,1,1984/10/18,770,
+07DA001,1,1984/10/19,776,
+07DA001,1,1984/10/20,779,
+07DA001,1,1984/10/21,786,
+07DA001,1,1984/10/22,785,
+07DA001,1,1984/10/23,774,
+07DA001,1,1984/10/24,746,
+07DA001,1,1984/10/25,718,
+07DA001,1,1984/10/26,720,B
+07DA001,1,1984/10/27,700,B
+07DA001,1,1984/10/28,660,B
+07DA001,1,1984/10/29,620,B
+07DA001,1,1984/10/30,600,B
+07DA001,1,1984/10/31,565,B
+07DA001,1,1984/11/01,543,B
+07DA001,1,1984/11/02,520,B
+07DA001,1,1984/11/03,500,B
+07DA001,1,1984/11/04,480,B
+07DA001,1,1984/11/05,465,B
+07DA001,1,1984/11/06,448,B
+07DA001,1,1984/11/07,433,B
+07DA001,1,1984/11/08,420,B
+07DA001,1,1984/11/09,408,B
+07DA001,1,1984/11/10,395,B
+07DA001,1,1984/11/11,385,B
+07DA001,1,1984/11/12,375,B
+07DA001,1,1984/11/13,365,B
+07DA001,1,1984/11/14,356,B
+07DA001,1,1984/11/15,348,B
+07DA001,1,1984/11/16,340,B
+07DA001,1,1984/11/17,333,B
+07DA001,1,1984/11/18,327,B
+07DA001,1,1984/11/19,320,B
+07DA001,1,1984/11/20,315,B
+07DA001,1,1984/11/21,309,B
+07DA001,1,1984/11/22,303,B
+07DA001,1,1984/11/23,298,B
+07DA001,1,1984/11/24,293,B
+07DA001,1,1984/11/25,289,B
+07DA001,1,1984/11/26,285,B
+07DA001,1,1984/11/27,281,B
+07DA001,1,1984/11/28,277,B
+07DA001,1,1984/11/29,273,B
+07DA001,1,1984/11/30,269,B
+07DA001,1,1984/12/01,266,B
+07DA001,1,1984/12/02,263,B
+07DA001,1,1984/12/03,260,B
+07DA001,1,1984/12/04,257,B
+07DA001,1,1984/12/05,254,B
+07DA001,1,1984/12/06,251,B
+07DA001,1,1984/12/07,250,B
+07DA001,1,1984/12/08,247,B
+07DA001,1,1984/12/09,245,B
+07DA001,1,1984/12/10,242,B
+07DA001,1,1984/12/11,240,B
+07DA001,1,1984/12/12,238,B
+07DA001,1,1984/12/13,237,B
+07DA001,1,1984/12/14,234,B
+07DA001,1,1984/12/15,232,B
+07DA001,1,1984/12/16,230,B
+07DA001,1,1984/12/17,228,B
+07DA001,1,1984/12/18,226,B
+07DA001,1,1984/12/19,224,B
+07DA001,1,1984/12/20,223,B
+07DA001,1,1984/12/21,222,B
+07DA001,1,1984/12/22,220,B
+07DA001,1,1984/12/23,219,B
+07DA001,1,1984/12/24,218,B
+07DA001,1,1984/12/25,216,B
+07DA001,1,1984/12/26,215,B
+07DA001,1,1984/12/27,214,B
+07DA001,1,1984/12/28,212,B
+07DA001,1,1984/12/29,211,B
+07DA001,1,1984/12/30,210,B
+07DA001,1,1984/12/31,208,B
+07DA001,1,1985/01/01,207,B
+07DA001,1,1985/01/02,205,B
+07DA001,1,1985/01/03,204,B
+07DA001,1,1985/01/04,203,B
+07DA001,1,1985/01/05,202,B
+07DA001,1,1985/01/06,201,B
+07DA001,1,1985/01/07,200,B
+07DA001,1,1985/01/08,199,B
+07DA001,1,1985/01/09,198,B
+07DA001,1,1985/01/10,197,B
+07DA001,1,1985/01/11,196,B
+07DA001,1,1985/01/12,195,B
+07DA001,1,1985/01/13,194,B
+07DA001,1,1985/01/14,193,B
+07DA001,1,1985/01/15,193,B
+07DA001,1,1985/01/16,192,B
+07DA001,1,1985/01/17,191,B
+07DA001,1,1985/01/18,190,B
+07DA001,1,1985/01/19,190,B
+07DA001,1,1985/01/20,189,B
+07DA001,1,1985/01/21,188,B
+07DA001,1,1985/01/22,187,B
+07DA001,1,1985/01/23,186,B
+07DA001,1,1985/01/24,185,B
+07DA001,1,1985/01/25,184,B
+07DA001,1,1985/01/26,183,B
+07DA001,1,1985/01/27,183,B
+07DA001,1,1985/01/28,182,B
+07DA001,1,1985/01/29,182,B
+07DA001,1,1985/01/30,181,B
+07DA001,1,1985/01/31,181,B
+07DA001,1,1985/02/01,180,B
+07DA001,1,1985/02/02,180,B
+07DA001,1,1985/02/03,179,B
+07DA001,1,1985/02/04,179,B
+07DA001,1,1985/02/05,178,B
+07DA001,1,1985/02/06,178,B
+07DA001,1,1985/02/07,177,B
+07DA001,1,1985/02/08,177,B
+07DA001,1,1985/02/09,176,B
+07DA001,1,1985/02/10,175,B
+07DA001,1,1985/02/11,174,B
+07DA001,1,1985/02/12,174,B
+07DA001,1,1985/02/13,173,B
+07DA001,1,1985/02/14,173,B
+07DA001,1,1985/02/15,172,B
+07DA001,1,1985/02/16,172,B
+07DA001,1,1985/02/17,171,B
+07DA001,1,1985/02/18,171,B
+07DA001,1,1985/02/19,170,B
+07DA001,1,1985/02/20,170,B
+07DA001,1,1985/02/21,170,B
+07DA001,1,1985/02/22,170,B
+07DA001,1,1985/02/23,169,B
+07DA001,1,1985/02/24,169,B
+07DA001,1,1985/02/25,169,B
+07DA001,1,1985/02/26,169,B
+07DA001,1,1985/02/27,168,B
+07DA001,1,1985/02/28,168,B
+07DA001,1,1985/03/01,167,B
+07DA001,1,1985/03/02,167,B
+07DA001,1,1985/03/03,167,B
+07DA001,1,1985/03/04,166,B
+07DA001,1,1985/03/05,166,B
+07DA001,1,1985/03/06,166,B
+07DA001,1,1985/03/07,166,B
+07DA001,1,1985/03/08,165,B
+07DA001,1,1985/03/09,165,B
+07DA001,1,1985/03/10,165,B
+07DA001,1,1985/03/11,165,B
+07DA001,1,1985/03/12,164,B
+07DA001,1,1985/03/13,164,B
+07DA001,1,1985/03/14,164,B
+07DA001,1,1985/03/15,164,B
+07DA001,1,1985/03/16,164,B
+07DA001,1,1985/03/17,165,B
+07DA001,1,1985/03/18,167,B
+07DA001,1,1985/03/19,168,B
+07DA001,1,1985/03/20,170,B
+07DA001,1,1985/03/21,172,B
+07DA001,1,1985/03/22,174,B
+07DA001,1,1985/03/23,177,B
+07DA001,1,1985/03/24,180,B
+07DA001,1,1985/03/25,184,B
+07DA001,1,1985/03/26,189,B
+07DA001,1,1985/03/27,194,B
+07DA001,1,1985/03/28,200,B
+07DA001,1,1985/03/29,208,B
+07DA001,1,1985/03/30,218,B
+07DA001,1,1985/03/31,229,B
+07DA001,1,1985/04/01,240,B
+07DA001,1,1985/04/02,255,B
+07DA001,1,1985/04/03,259,B
+07DA001,1,1985/04/04,262,B
+07DA001,1,1985/04/05,263,B
+07DA001,1,1985/04/06,274,B
+07DA001,1,1985/04/07,278,B
+07DA001,1,1985/04/08,298,B
+07DA001,1,1985/04/09,310,B
+07DA001,1,1985/04/10,330,B
+07DA001,1,1985/04/11,350,B
+07DA001,1,1985/04/12,370,B
+07DA001,1,1985/04/13,420,B
+07DA001,1,1985/04/14,495,B
+07DA001,1,1985/04/15,570,B
+07DA001,1,1985/04/16,700,B
+07DA001,1,1985/04/17,770,B
+07DA001,1,1985/04/18,800,B
+07DA001,1,1985/04/19,760,B
+07DA001,1,1985/04/20,710,B
+07DA001,1,1985/04/21,690,B
+07DA001,1,1985/04/22,700,B
+07DA001,1,1985/04/23,730,B
+07DA001,1,1985/04/24,790,B
+07DA001,1,1985/04/25,840,B
+07DA001,1,1985/04/26,900,B
+07DA001,1,1985/04/27,960,
+07DA001,1,1985/04/28,1010,
+07DA001,1,1985/04/29,1060,
+07DA001,1,1985/04/30,1120,
+07DA001,1,1985/05/01,1160,
+07DA001,1,1985/05/02,1180,
+07DA001,1,1985/05/03,1190,
+07DA001,1,1985/05/04,1280,
+07DA001,1,1985/05/05,1580,
+07DA001,1,1985/05/06,1840,
+07DA001,1,1985/05/07,1920,
+07DA001,1,1985/05/08,1920,
+07DA001,1,1985/05/09,1890,
+07DA001,1,1985/05/10,1830,
+07DA001,1,1985/05/11,1740,
+07DA001,1,1985/05/12,1670,
+07DA001,1,1985/05/13,1590,
+07DA001,1,1985/05/14,1510,
+07DA001,1,1985/05/15,1450,
+07DA001,1,1985/05/16,1370,
+07DA001,1,1985/05/17,1290,
+07DA001,1,1985/05/18,1220,
+07DA001,1,1985/05/19,1140,
+07DA001,1,1985/05/20,1080,
+07DA001,1,1985/05/21,1010,
+07DA001,1,1985/05/22,970,
+07DA001,1,1985/05/23,929,
+07DA001,1,1985/05/24,908,
+07DA001,1,1985/05/25,936,
+07DA001,1,1985/05/26,1010,
+07DA001,1,1985/05/27,1020,
+07DA001,1,1985/05/28,1060,
+07DA001,1,1985/05/29,1130,
+07DA001,1,1985/05/30,1200,
+07DA001,1,1985/05/31,1240,
+07DA001,1,1985/06/01,1190,
+07DA001,1,1985/06/02,1140,
+07DA001,1,1985/06/03,1110,
+07DA001,1,1985/06/04,1150,
+07DA001,1,1985/06/05,1170,
+07DA001,1,1985/06/06,1120,
+07DA001,1,1985/06/07,1070,
+07DA001,1,1985/06/08,1040,
+07DA001,1,1985/06/09,1040,
+07DA001,1,1985/06/10,1040,
+07DA001,1,1985/06/11,1020,
+07DA001,1,1985/06/12,977,
+07DA001,1,1985/06/13,927,
+07DA001,1,1985/06/14,888,
+07DA001,1,1985/06/15,848,
+07DA001,1,1985/06/16,806,
+07DA001,1,1985/06/17,772,
+07DA001,1,1985/06/18,746,
+07DA001,1,1985/06/19,773,
+07DA001,1,1985/06/20,812,
+07DA001,1,1985/06/21,829,
+07DA001,1,1985/06/22,839,
+07DA001,1,1985/06/23,808,
+07DA001,1,1985/06/24,770,
+07DA001,1,1985/06/25,827,
+07DA001,1,1985/06/26,955,
+07DA001,1,1985/06/27,1010,
+07DA001,1,1985/06/28,1690,
+07DA001,1,1985/06/29,1720,
+07DA001,1,1985/06/30,1620,
+07DA001,1,1985/07/01,1460,
+07DA001,1,1985/07/02,1360,
+07DA001,1,1985/07/03,1340,
+07DA001,1,1985/07/04,1340,
+07DA001,1,1985/07/05,1350,
+07DA001,1,1985/07/06,1320,
+07DA001,1,1985/07/07,1210,
+07DA001,1,1985/07/08,1120,
+07DA001,1,1985/07/09,1060,
+07DA001,1,1985/07/10,1030,
+07DA001,1,1985/07/11,1010,
+07DA001,1,1985/07/12,967,
+07DA001,1,1985/07/13,910,
+07DA001,1,1985/07/14,865,
+07DA001,1,1985/07/15,854,
+07DA001,1,1985/07/16,862,
+07DA001,1,1985/07/17,864,
+07DA001,1,1985/07/18,842,
+07DA001,1,1985/07/19,794,
+07DA001,1,1985/07/20,740,
+07DA001,1,1985/07/21,702,
+07DA001,1,1985/07/22,698,
+07DA001,1,1985/07/23,684,
+07DA001,1,1985/07/24,677,
+07DA001,1,1985/07/25,669,
+07DA001,1,1985/07/26,683,
+07DA001,1,1985/07/27,701,
+07DA001,1,1985/07/28,728,
+07DA001,1,1985/07/29,740,
+07DA001,1,1985/07/30,727,
+07DA001,1,1985/07/31,700,
+07DA001,1,1985/08/01,666,
+07DA001,1,1985/08/02,644,
+07DA001,1,1985/08/03,615,
+07DA001,1,1985/08/04,594,
+07DA001,1,1985/08/05,590,
+07DA001,1,1985/08/06,591,
+07DA001,1,1985/08/07,598,
+07DA001,1,1985/08/08,613,
+07DA001,1,1985/08/09,630,
+07DA001,1,1985/08/10,631,
+07DA001,1,1985/08/11,627,
+07DA001,1,1985/08/12,611,
+07DA001,1,1985/08/13,584,
+07DA001,1,1985/08/14,601,
+07DA001,1,1985/08/15,631,
+07DA001,1,1985/08/16,628,
+07DA001,1,1985/08/17,614,
+07DA001,1,1985/08/18,611,
+07DA001,1,1985/08/19,636,
+07DA001,1,1985/08/20,689,
+07DA001,1,1985/08/21,754,
+07DA001,1,1985/08/22,812,
+07DA001,1,1985/08/23,760,
+07DA001,1,1985/08/24,720,
+07DA001,1,1985/08/25,714,
+07DA001,1,1985/08/26,708,
+07DA001,1,1985/08/27,756,
+07DA001,1,1985/08/28,719,
+07DA001,1,1985/08/29,677,
+07DA001,1,1985/08/30,651,
+07DA001,1,1985/08/31,649,
+07DA001,1,1985/09/01,647,
+07DA001,1,1985/09/02,623,
+07DA001,1,1985/09/03,598,
+07DA001,1,1985/09/04,577,
+07DA001,1,1985/09/05,575,
+07DA001,1,1985/09/06,570,
+07DA001,1,1985/09/07,559,
+07DA001,1,1985/09/08,541,
+07DA001,1,1985/09/09,523,
+07DA001,1,1985/09/10,514,
+07DA001,1,1985/09/11,512,
+07DA001,1,1985/09/12,516,
+07DA001,1,1985/09/13,540,
+07DA001,1,1985/09/14,541,
+07DA001,1,1985/09/15,521,
+07DA001,1,1985/09/16,512,
+07DA001,1,1985/09/17,550,
+07DA001,1,1985/09/18,1110,
+07DA001,1,1985/09/19,1210,
+07DA001,1,1985/09/20,1170,
+07DA001,1,1985/09/21,1090,
+07DA001,1,1985/09/22,1010,
+07DA001,1,1985/09/23,951,
+07DA001,1,1985/09/24,895,
+07DA001,1,1985/09/25,850,
+07DA001,1,1985/09/26,837,
+07DA001,1,1985/09/27,812,
+07DA001,1,1985/09/28,798,
+07DA001,1,1985/09/29,788,
+07DA001,1,1985/09/30,783,
+07DA001,1,1985/10/01,772,
+07DA001,1,1985/10/02,758,
+07DA001,1,1985/10/03,739,
+07DA001,1,1985/10/04,705,
+07DA001,1,1985/10/05,681,
+07DA001,1,1985/10/06,653,
+07DA001,1,1985/10/07,640,
+07DA001,1,1985/10/08,627,
+07DA001,1,1985/10/09,617,
+07DA001,1,1985/10/10,609,
+07DA001,1,1985/10/11,592,
+07DA001,1,1985/10/12,582,
+07DA001,1,1985/10/13,572,
+07DA001,1,1985/10/14,568,
+07DA001,1,1985/10/15,559,
+07DA001,1,1985/10/16,560,
+07DA001,1,1985/10/17,557,
+07DA001,1,1985/10/18,563,
+07DA001,1,1985/10/19,577,
+07DA001,1,1985/10/20,596,
+07DA001,1,1985/10/21,615,
+07DA001,1,1985/10/22,631,
+07DA001,1,1985/10/23,636,
+07DA001,1,1985/10/24,627,
+07DA001,1,1985/10/25,623,
+07DA001,1,1985/10/26,609,
+07DA001,1,1985/10/27,596,
+07DA001,1,1985/10/28,595,
+07DA001,1,1985/10/29,565,
+07DA001,1,1985/10/30,547,
+07DA001,1,1985/10/31,528,
+07DA001,1,1985/11/01,529,
+07DA001,1,1985/11/02,516,
+07DA001,1,1985/11/03,496,
+07DA001,1,1985/11/04,483,
+07DA001,1,1985/11/05,469,
+07DA001,1,1985/11/06,455,B
+07DA001,1,1985/11/07,440,B
+07DA001,1,1985/11/08,430,B
+07DA001,1,1985/11/09,415,B
+07DA001,1,1985/11/10,405,B
+07DA001,1,1985/11/11,390,B
+07DA001,1,1985/11/12,380,B
+07DA001,1,1985/11/13,370,B
+07DA001,1,1985/11/14,360,B
+07DA001,1,1985/11/15,350,B
+07DA001,1,1985/11/16,340,B
+07DA001,1,1985/11/17,330,B
+07DA001,1,1985/11/18,320,B
+07DA001,1,1985/11/19,310,B
+07DA001,1,1985/11/20,300,B
+07DA001,1,1985/11/21,295,B
+07DA001,1,1985/11/22,285,B
+07DA001,1,1985/11/23,275,B
+07DA001,1,1985/11/24,270,B
+07DA001,1,1985/11/25,263,B
+07DA001,1,1985/11/26,253,B
+07DA001,1,1985/11/27,250,B
+07DA001,1,1985/11/28,245,B
+07DA001,1,1985/11/29,240,B
+07DA001,1,1985/11/30,238,B
+07DA001,1,1985/12/01,232,B
+07DA001,1,1985/12/02,230,B
+07DA001,1,1985/12/03,225,B
+07DA001,1,1985/12/04,222,B
+07DA001,1,1985/12/05,220,B
+07DA001,1,1985/12/06,217,B
+07DA001,1,1985/12/07,213,B
+07DA001,1,1985/12/08,210,B
+07DA001,1,1985/12/09,208,B
+07DA001,1,1985/12/10,206,B
+07DA001,1,1985/12/11,204,B
+07DA001,1,1985/12/12,202,B
+07DA001,1,1985/12/13,200,B
+07DA001,1,1985/12/14,199,B
+07DA001,1,1985/12/15,198,B
+07DA001,1,1985/12/16,197,B
+07DA001,1,1985/12/17,196,B
+07DA001,1,1985/12/18,195,B
+07DA001,1,1985/12/19,194,B
+07DA001,1,1985/12/20,194,B
+07DA001,1,1985/12/21,193,B
+07DA001,1,1985/12/22,191,B
+07DA001,1,1985/12/23,191,B
+07DA001,1,1985/12/24,191,B
+07DA001,1,1985/12/25,191,B
+07DA001,1,1985/12/26,191,B
+07DA001,1,1985/12/27,191,B
+07DA001,1,1985/12/28,190,B
+07DA001,1,1985/12/29,189,B
+07DA001,1,1985/12/30,188,B
+07DA001,1,1985/12/31,188,B
+07DA001,1,1986/01/01,188,B
+07DA001,1,1986/01/02,186,B
+07DA001,1,1986/01/03,184,B
+07DA001,1,1986/01/04,182,B
+07DA001,1,1986/01/05,181,B
+07DA001,1,1986/01/06,179,B
+07DA001,1,1986/01/07,178,B
+07DA001,1,1986/01/08,177,B
+07DA001,1,1986/01/09,176,B
+07DA001,1,1986/01/10,175,B
+07DA001,1,1986/01/11,174,B
+07DA001,1,1986/01/12,174,B
+07DA001,1,1986/01/13,173,B
+07DA001,1,1986/01/14,173,B
+07DA001,1,1986/01/15,172,B
+07DA001,1,1986/01/16,172,B
+07DA001,1,1986/01/17,171,B
+07DA001,1,1986/01/18,171,B
+07DA001,1,1986/01/19,171,B
+07DA001,1,1986/01/20,171,B
+07DA001,1,1986/01/21,170,B
+07DA001,1,1986/01/22,170,B
+07DA001,1,1986/01/23,170,B
+07DA001,1,1986/01/24,170,B
+07DA001,1,1986/01/25,170,B
+07DA001,1,1986/01/26,170,B
+07DA001,1,1986/01/27,170,B
+07DA001,1,1986/01/28,169,B
+07DA001,1,1986/01/29,169,B
+07DA001,1,1986/01/30,168,B
+07DA001,1,1986/01/31,168,B
+07DA001,1,1986/02/01,167,B
+07DA001,1,1986/02/02,167,B
+07DA001,1,1986/02/03,167,B
+07DA001,1,1986/02/04,167,B
+07DA001,1,1986/02/05,167,B
+07DA001,1,1986/02/06,167,B
+07DA001,1,1986/02/07,167,B
+07DA001,1,1986/02/08,167,B
+07DA001,1,1986/02/09,167,B
+07DA001,1,1986/02/10,167,B
+07DA001,1,1986/02/11,167,B
+07DA001,1,1986/02/12,167,B
+07DA001,1,1986/02/13,167,B
+07DA001,1,1986/02/14,167,B
+07DA001,1,1986/02/15,167,B
+07DA001,1,1986/02/16,167,B
+07DA001,1,1986/02/17,167,B
+07DA001,1,1986/02/18,167,B
+07DA001,1,1986/02/19,167,B
+07DA001,1,1986/02/20,167,B
+07DA001,1,1986/02/21,167,B
+07DA001,1,1986/02/22,167,B
+07DA001,1,1986/02/23,167,B
+07DA001,1,1986/02/24,167,B
+07DA001,1,1986/02/25,167,B
+07DA001,1,1986/02/26,166,B
+07DA001,1,1986/02/27,166,B
+07DA001,1,1986/02/28,166,B
+07DA001,1,1986/03/01,166,B
+07DA001,1,1986/03/02,166,B
+07DA001,1,1986/03/03,166,B
+07DA001,1,1986/03/04,166,B
+07DA001,1,1986/03/05,166,B
+07DA001,1,1986/03/06,166,B
+07DA001,1,1986/03/07,166,B
+07DA001,1,1986/03/08,166,B
+07DA001,1,1986/03/09,168,B
+07DA001,1,1986/03/10,170,B
+07DA001,1,1986/03/11,174,B
+07DA001,1,1986/03/12,178,B
+07DA001,1,1986/03/13,180,B
+07DA001,1,1986/03/14,184,B
+07DA001,1,1986/03/15,188,B
+07DA001,1,1986/03/16,194,B
+07DA001,1,1986/03/17,200,B
+07DA001,1,1986/03/18,205,B
+07DA001,1,1986/03/19,210,B
+07DA001,1,1986/03/20,217,B
+07DA001,1,1986/03/21,225,B
+07DA001,1,1986/03/22,232,B
+07DA001,1,1986/03/23,239,B
+07DA001,1,1986/03/24,245,B
+07DA001,1,1986/03/25,252,B
+07DA001,1,1986/03/26,258,B
+07DA001,1,1986/03/27,260,B
+07DA001,1,1986/03/28,260,B
+07DA001,1,1986/03/29,262,B
+07DA001,1,1986/03/30,267,B
+07DA001,1,1986/03/31,270,B
+07DA001,1,1986/04/01,276,B
+07DA001,1,1986/04/02,286,B
+07DA001,1,1986/04/03,300,B
+07DA001,1,1986/04/04,318,B
+07DA001,1,1986/04/05,330,B
+07DA001,1,1986/04/06,345,B
+07DA001,1,1986/04/07,338,B
+07DA001,1,1986/04/08,345,B
+07DA001,1,1986/04/09,365,B
+07DA001,1,1986/04/10,380,B
+07DA001,1,1986/04/11,430,B
+07DA001,1,1986/04/12,450,B
+07DA001,1,1986/04/13,475,B
+07DA001,1,1986/04/14,485,B
+07DA001,1,1986/04/15,498,B
+07DA001,1,1986/04/16,490,B
+07DA001,1,1986/04/17,485,B
+07DA001,1,1986/04/18,480,B
+07DA001,1,1986/04/19,485,B
+07DA001,1,1986/04/20,500,B
+07DA001,1,1986/04/21,560,B
+07DA001,1,1986/04/22,620,B
+07DA001,1,1986/04/23,695,B
+07DA001,1,1986/04/24,760,B
+07DA001,1,1986/04/25,850,B
+07DA001,1,1986/04/26,925,B
+07DA001,1,1986/04/27,1070,
+07DA001,1,1986/04/28,1040,
+07DA001,1,1986/04/29,1050,
+07DA001,1,1986/04/30,989,
+07DA001,1,1986/05/01,935,
+07DA001,1,1986/05/02,930,
+07DA001,1,1986/05/03,987,
+07DA001,1,1986/05/04,959,
+07DA001,1,1986/05/05,960,
+07DA001,1,1986/05/06,941,
+07DA001,1,1986/05/07,924,
+07DA001,1,1986/05/08,913,
+07DA001,1,1986/05/09,927,
+07DA001,1,1986/05/10,981,
+07DA001,1,1986/05/11,1050,
+07DA001,1,1986/05/12,1070,
+07DA001,1,1986/05/13,1080,
+07DA001,1,1986/05/14,1080,
+07DA001,1,1986/05/15,1070,
+07DA001,1,1986/05/16,1060,
+07DA001,1,1986/05/17,1030,
+07DA001,1,1986/05/18,990,
+07DA001,1,1986/05/19,957,
+07DA001,1,1986/05/20,926,
+07DA001,1,1986/05/21,906,
+07DA001,1,1986/05/22,913,
+07DA001,1,1986/05/23,955,
+07DA001,1,1986/05/24,986,
+07DA001,1,1986/05/25,1030,
+07DA001,1,1986/05/26,1120,
+07DA001,1,1986/05/27,1220,
+07DA001,1,1986/05/28,1240,
+07DA001,1,1986/05/29,1200,
+07DA001,1,1986/05/30,1140,
+07DA001,1,1986/05/31,1100,
+07DA001,1,1986/06/01,1420,
+07DA001,1,1986/06/02,1730,
+07DA001,1,1986/06/03,1810,
+07DA001,1,1986/06/04,1800,
+07DA001,1,1986/06/05,1760,
+07DA001,1,1986/06/06,1710,
+07DA001,1,1986/06/07,1630,
+07DA001,1,1986/06/08,1480,
+07DA001,1,1986/06/09,1330,
+07DA001,1,1986/06/10,1230,
+07DA001,1,1986/06/11,1190,
+07DA001,1,1986/06/12,1200,
+07DA001,1,1986/06/13,1190,
+07DA001,1,1986/06/14,1160,
+07DA001,1,1986/06/15,1120,
+07DA001,1,1986/06/16,1110,
+07DA001,1,1986/06/17,1150,
+07DA001,1,1986/06/18,1080,
+07DA001,1,1986/06/19,1020,
+07DA001,1,1986/06/20,1130,
+07DA001,1,1986/06/21,1250,
+07DA001,1,1986/06/22,1230,
+07DA001,1,1986/06/23,1260,
+07DA001,1,1986/06/24,1380,
+07DA001,1,1986/06/25,1360,
+07DA001,1,1986/06/26,1230,
+07DA001,1,1986/06/27,1120,
+07DA001,1,1986/06/28,1040,
+07DA001,1,1986/06/29,1030,
+07DA001,1,1986/06/30,1110,
+07DA001,1,1986/07/01,1100,
+07DA001,1,1986/07/02,1010,
+07DA001,1,1986/07/03,939,
+07DA001,1,1986/07/04,909,
+07DA001,1,1986/07/05,920,
+07DA001,1,1986/07/06,995,
+07DA001,1,1986/07/07,1030,
+07DA001,1,1986/07/08,1050,
+07DA001,1,1986/07/09,1060,
+07DA001,1,1986/07/10,1050,
+07DA001,1,1986/07/11,1040,
+07DA001,1,1986/07/12,1040,
+07DA001,1,1986/07/13,1080,
+07DA001,1,1986/07/14,1130,
+07DA001,1,1986/07/15,1230,
+07DA001,1,1986/07/16,1280,
+07DA001,1,1986/07/17,1320,
+07DA001,1,1986/07/18,1500,
+07DA001,1,1986/07/19,1730,
+07DA001,1,1986/07/20,2220,
+07DA001,1,1986/07/21,3610,
+07DA001,1,1986/07/22,4440,
+07DA001,1,1986/07/23,4430,
+07DA001,1,1986/07/24,3580,
+07DA001,1,1986/07/25,3120,
+07DA001,1,1986/07/26,2990,
+07DA001,1,1986/07/27,3010,
+07DA001,1,1986/07/28,2930,
+07DA001,1,1986/07/29,2650,
+07DA001,1,1986/07/30,2270,
+07DA001,1,1986/07/31,2050,
+07DA001,1,1986/08/01,1890,
+07DA001,1,1986/08/02,1770,
+07DA001,1,1986/08/03,1700,
+07DA001,1,1986/08/04,1630,
+07DA001,1,1986/08/05,1520,
+07DA001,1,1986/08/06,1440,
+07DA001,1,1986/08/07,1380,
+07DA001,1,1986/08/08,1350,
+07DA001,1,1986/08/09,1350,
+07DA001,1,1986/08/10,1330,
+07DA001,1,1986/08/11,1270,
+07DA001,1,1986/08/12,1220,
+07DA001,1,1986/08/13,1170,
+07DA001,1,1986/08/14,1130,
+07DA001,1,1986/08/15,1090,
+07DA001,1,1986/08/16,1050,
+07DA001,1,1986/08/17,1020,
+07DA001,1,1986/08/18,1020,
+07DA001,1,1986/08/19,1010,
+07DA001,1,1986/08/20,978,
+07DA001,1,1986/08/21,948,
+07DA001,1,1986/08/22,902,
+07DA001,1,1986/08/23,859,
+07DA001,1,1986/08/24,822,
+07DA001,1,1986/08/25,802,
+07DA001,1,1986/08/26,794,
+07DA001,1,1986/08/27,770,
+07DA001,1,1986/08/28,744,
+07DA001,1,1986/08/29,728,
+07DA001,1,1986/08/30,719,
+07DA001,1,1986/08/31,714,
+07DA001,1,1986/09/01,711,
+07DA001,1,1986/09/02,701,
+07DA001,1,1986/09/03,687,
+07DA001,1,1986/09/04,692,
+07DA001,1,1986/09/05,712,
+07DA001,1,1986/09/06,720,
+07DA001,1,1986/09/07,708,
+07DA001,1,1986/09/08,697,
+07DA001,1,1986/09/09,705,
+07DA001,1,1986/09/10,725,
+07DA001,1,1986/09/11,735,
+07DA001,1,1986/09/12,738,
+07DA001,1,1986/09/13,703,
+07DA001,1,1986/09/14,664,
+07DA001,1,1986/09/15,654,
+07DA001,1,1986/09/16,656,
+07DA001,1,1986/09/17,655,
+07DA001,1,1986/09/18,655,
+07DA001,1,1986/09/19,648,
+07DA001,1,1986/09/20,633,
+07DA001,1,1986/09/21,617,
+07DA001,1,1986/09/22,610,
+07DA001,1,1986/09/23,600,
+07DA001,1,1986/09/24,591,
+07DA001,1,1986/09/25,581,
+07DA001,1,1986/09/26,572,
+07DA001,1,1986/09/27,560,
+07DA001,1,1986/09/28,551,
+07DA001,1,1986/09/29,541,
+07DA001,1,1986/09/30,536,
+07DA001,1,1986/10/01,544,
+07DA001,1,1986/10/02,619,
+07DA001,1,1986/10/03,787,
+07DA001,1,1986/10/04,810,
+07DA001,1,1986/10/05,847,
+07DA001,1,1986/10/06,927,
+07DA001,1,1986/10/07,938,
+07DA001,1,1986/10/08,905,
+07DA001,1,1986/10/09,901,
+07DA001,1,1986/10/10,912,
+07DA001,1,1986/10/11,900,
+07DA001,1,1986/10/12,899,
+07DA001,1,1986/10/13,903,
+07DA001,1,1986/10/14,879,
+07DA001,1,1986/10/15,844,
+07DA001,1,1986/10/16,806,
+07DA001,1,1986/10/17,771,
+07DA001,1,1986/10/18,739,
+07DA001,1,1986/10/19,710,
+07DA001,1,1986/10/20,686,
+07DA001,1,1986/10/21,663,
+07DA001,1,1986/10/22,644,
+07DA001,1,1986/10/23,629,
+07DA001,1,1986/10/24,616,
+07DA001,1,1986/10/25,602,
+07DA001,1,1986/10/26,590,
+07DA001,1,1986/10/27,577,
+07DA001,1,1986/10/28,568,
+07DA001,1,1986/10/29,553,
+07DA001,1,1986/10/30,540,
+07DA001,1,1986/10/31,529,
+07DA001,1,1986/11/01,524,
+07DA001,1,1986/11/02,487,
+07DA001,1,1986/11/03,484,
+07DA001,1,1986/11/04,506,
+07DA001,1,1986/11/05,514,
+07DA001,1,1986/11/06,508,
+07DA001,1,1986/11/07,546,
+07DA001,1,1986/11/08,470,B
+07DA001,1,1986/11/09,450,B
+07DA001,1,1986/11/10,425,B
+07DA001,1,1986/11/11,405,B
+07DA001,1,1986/11/12,398,B
+07DA001,1,1986/11/13,380,B
+07DA001,1,1986/11/14,370,B
+07DA001,1,1986/11/15,360,B
+07DA001,1,1986/11/16,348,B
+07DA001,1,1986/11/17,337,B
+07DA001,1,1986/11/18,328,B
+07DA001,1,1986/11/19,318,B
+07DA001,1,1986/11/20,310,B
+07DA001,1,1986/11/21,300,B
+07DA001,1,1986/11/22,297,B
+07DA001,1,1986/11/23,290,B
+07DA001,1,1986/11/24,283,B
+07DA001,1,1986/11/25,278,B
+07DA001,1,1986/11/26,270,B
+07DA001,1,1986/11/27,267,B
+07DA001,1,1986/11/28,260,B
+07DA001,1,1986/11/29,256,B
+07DA001,1,1986/11/30,250,B
+07DA001,1,1986/12/01,248,B
+07DA001,1,1986/12/02,242,B
+07DA001,1,1986/12/03,238,B
+07DA001,1,1986/12/04,234,B
+07DA001,1,1986/12/05,230,B
+07DA001,1,1986/12/06,228,B
+07DA001,1,1986/12/07,223,B
+07DA001,1,1986/12/08,220,B
+07DA001,1,1986/12/09,218,B
+07DA001,1,1986/12/10,215,B
+07DA001,1,1986/12/11,212,B
+07DA001,1,1986/12/12,210,B
+07DA001,1,1986/12/13,207,B
+07DA001,1,1986/12/14,203,B
+07DA001,1,1986/12/15,200,B
+07DA001,1,1986/12/16,198,B
+07DA001,1,1986/12/17,197,B
+07DA001,1,1986/12/18,196,B
+07DA001,1,1986/12/19,193,B
+07DA001,1,1986/12/20,190,B
+07DA001,1,1986/12/21,188,B
+07DA001,1,1986/12/22,187,B
+07DA001,1,1986/12/23,186,B
+07DA001,1,1986/12/24,184,B
+07DA001,1,1986/12/25,182,B
+07DA001,1,1986/12/26,180,B
+07DA001,1,1986/12/27,178,B
+07DA001,1,1986/12/28,177,B
+07DA001,1,1986/12/29,176,B
+07DA001,1,1986/12/30,175,B
+07DA001,1,1986/12/31,174,B
+07DA001,1,1987/01/01,174,B
+07DA001,1,1987/01/02,174,B
+07DA001,1,1987/01/03,174,B
+07DA001,1,1987/01/04,174,B
+07DA001,1,1987/01/05,174,B
+07DA001,1,1987/01/06,173,B
+07DA001,1,1987/01/07,173,B
+07DA001,1,1987/01/08,173,B
+07DA001,1,1987/01/09,173,B
+07DA001,1,1987/01/10,173,B
+07DA001,1,1987/01/11,173,B
+07DA001,1,1987/01/12,172,B
+07DA001,1,1987/01/13,172,B
+07DA001,1,1987/01/14,172,B
+07DA001,1,1987/01/15,172,B
+07DA001,1,1987/01/16,172,B
+07DA001,1,1987/01/17,171,B
+07DA001,1,1987/01/18,171,B
+07DA001,1,1987/01/19,171,B
+07DA001,1,1987/01/20,171,B
+07DA001,1,1987/01/21,171,B
+07DA001,1,1987/01/22,171,B
+07DA001,1,1987/01/23,170,B
+07DA001,1,1987/01/24,170,B
+07DA001,1,1987/01/25,170,B
+07DA001,1,1987/01/26,170,B
+07DA001,1,1987/01/27,170,B
+07DA001,1,1987/01/28,170,B
+07DA001,1,1987/01/29,169,B
+07DA001,1,1987/01/30,169,B
+07DA001,1,1987/01/31,169,B
+07DA001,1,1987/02/01,169,B
+07DA001,1,1987/02/02,169,B
+07DA001,1,1987/02/03,169,B
+07DA001,1,1987/02/04,169,B
+07DA001,1,1987/02/05,169,B
+07DA001,1,1987/02/06,169,B
+07DA001,1,1987/02/07,169,B
+07DA001,1,1987/02/08,169,B
+07DA001,1,1987/02/09,169,B
+07DA001,1,1987/02/10,169,B
+07DA001,1,1987/02/11,168,B
+07DA001,1,1987/02/12,168,B
+07DA001,1,1987/02/13,168,B
+07DA001,1,1987/02/14,168,B
+07DA001,1,1987/02/15,168,B
+07DA001,1,1987/02/16,168,B
+07DA001,1,1987/02/17,168,B
+07DA001,1,1987/02/18,168,B
+07DA001,1,1987/02/19,168,B
+07DA001,1,1987/02/20,168,B
+07DA001,1,1987/02/21,167,B
+07DA001,1,1987/02/22,167,B
+07DA001,1,1987/02/23,167,B
+07DA001,1,1987/02/24,167,B
+07DA001,1,1987/02/25,167,B
+07DA001,1,1987/02/26,167,B
+07DA001,1,1987/02/27,167,B
+07DA001,1,1987/02/28,167,B
+07DA001,1,1987/03/01,167,B
+07DA001,1,1987/03/02,167,B
+07DA001,1,1987/03/03,167,B
+07DA001,1,1987/03/04,168,B
+07DA001,1,1987/03/05,168,B
+07DA001,1,1987/03/06,168,B
+07DA001,1,1987/03/07,168,B
+07DA001,1,1987/03/08,169,B
+07DA001,1,1987/03/09,169,B
+07DA001,1,1987/03/10,168,B
+07DA001,1,1987/03/11,167,B
+07DA001,1,1987/03/12,167,B
+07DA001,1,1987/03/13,166,B
+07DA001,1,1987/03/14,166,B
+07DA001,1,1987/03/15,167,B
+07DA001,1,1987/03/16,174,B
+07DA001,1,1987/03/17,183,B
+07DA001,1,1987/03/18,183,B
+07DA001,1,1987/03/19,181,B
+07DA001,1,1987/03/20,179,B
+07DA001,1,1987/03/21,177,B
+07DA001,1,1987/03/22,174,B
+07DA001,1,1987/03/23,174,B
+07DA001,1,1987/03/24,180,B
+07DA001,1,1987/03/25,182,B
+07DA001,1,1987/03/26,184,B
+07DA001,1,1987/03/27,185,B
+07DA001,1,1987/03/28,184,B
+07DA001,1,1987/03/29,185,B
+07DA001,1,1987/03/30,185,B
+07DA001,1,1987/03/31,188,B
+07DA001,1,1987/04/01,190,B
+07DA001,1,1987/04/02,190,B
+07DA001,1,1987/04/03,190,B
+07DA001,1,1987/04/04,193,B
+07DA001,1,1987/04/05,197,B
+07DA001,1,1987/04/06,210,B
+07DA001,1,1987/04/07,224,B
+07DA001,1,1987/04/08,253,B
+07DA001,1,1987/04/09,311,B
+07DA001,1,1987/04/10,360,B
+07DA001,1,1987/04/11,433,B
+07DA001,1,1987/04/12,494,B
+07DA001,1,1987/04/13,523,B
+07DA001,1,1987/04/14,780,B
+07DA001,1,1987/04/15,910,B
+07DA001,1,1987/04/16,1120,B
+07DA001,1,1987/04/17,1350,B
+07DA001,1,1987/04/18,1550,
+07DA001,1,1987/04/19,1250,
+07DA001,1,1987/04/20,1360,
+07DA001,1,1987/04/21,1170,
+07DA001,1,1987/04/22,988,
+07DA001,1,1987/04/23,934,
+07DA001,1,1987/04/24,854,
+07DA001,1,1987/04/25,811,
+07DA001,1,1987/04/26,771,
+07DA001,1,1987/04/27,737,
+07DA001,1,1987/04/28,715,
+07DA001,1,1987/04/29,698,
+07DA001,1,1987/04/30,708,
+07DA001,1,1987/05/01,721,
+07DA001,1,1987/05/02,737,
+07DA001,1,1987/05/03,762,
+07DA001,1,1987/05/04,768,
+07DA001,1,1987/05/05,779,
+07DA001,1,1987/05/06,774,
+07DA001,1,1987/05/07,782,
+07DA001,1,1987/05/08,842,
+07DA001,1,1987/05/09,897,
+07DA001,1,1987/05/10,902,
+07DA001,1,1987/05/11,866,
+07DA001,1,1987/05/12,836,
+07DA001,1,1987/05/13,806,
+07DA001,1,1987/05/14,790,
+07DA001,1,1987/05/15,853,
+07DA001,1,1987/05/16,935,
+07DA001,1,1987/05/17,936,
+07DA001,1,1987/05/18,913,
+07DA001,1,1987/05/19,954,
+07DA001,1,1987/05/20,955,
+07DA001,1,1987/05/21,917,
+07DA001,1,1987/05/22,887,
+07DA001,1,1987/05/23,870,
+07DA001,1,1987/05/24,870,
+07DA001,1,1987/05/25,891,
+07DA001,1,1987/05/26,890,
+07DA001,1,1987/05/27,872,
+07DA001,1,1987/05/28,859,
+07DA001,1,1987/05/29,853,
+07DA001,1,1987/05/30,842,
+07DA001,1,1987/05/31,840,
+07DA001,1,1987/06/01,847,
+07DA001,1,1987/06/02,908,
+07DA001,1,1987/06/03,1020,
+07DA001,1,1987/06/04,1100,
+07DA001,1,1987/06/05,1110,
+07DA001,1,1987/06/06,1110,
+07DA001,1,1987/06/07,1100,
+07DA001,1,1987/06/08,1050,
+07DA001,1,1987/06/09,1000,
+07DA001,1,1987/06/10,973,
+07DA001,1,1987/06/11,999,
+07DA001,1,1987/06/12,1210,
+07DA001,1,1987/06/13,1230,
+07DA001,1,1987/06/14,1190,
+07DA001,1,1987/06/15,1190,
+07DA001,1,1987/06/16,1200,
+07DA001,1,1987/06/17,1120,
+07DA001,1,1987/06/18,1100,
+07DA001,1,1987/06/19,1260,
+07DA001,1,1987/06/20,1230,
+07DA001,1,1987/06/21,1190,
+07DA001,1,1987/06/22,1150,
+07DA001,1,1987/06/23,1070,
+07DA001,1,1987/06/24,1010,
+07DA001,1,1987/06/25,980,
+07DA001,1,1987/06/26,987,
+07DA001,1,1987/06/27,1020,
+07DA001,1,1987/06/28,1010,
+07DA001,1,1987/06/29,929,
+07DA001,1,1987/06/30,856,
+07DA001,1,1987/07/01,781,
+07DA001,1,1987/07/02,744,
+07DA001,1,1987/07/03,763,
+07DA001,1,1987/07/04,809,
+07DA001,1,1987/07/05,825,
+07DA001,1,1987/07/06,823,
+07DA001,1,1987/07/07,828,
+07DA001,1,1987/07/08,837,
+07DA001,1,1987/07/09,853,
+07DA001,1,1987/07/10,868,
+07DA001,1,1987/07/11,877,
+07DA001,1,1987/07/12,854,
+07DA001,1,1987/07/13,813,
+07DA001,1,1987/07/14,778,
+07DA001,1,1987/07/15,764,
+07DA001,1,1987/07/16,761,
+07DA001,1,1987/07/17,758,
+07DA001,1,1987/07/18,738,
+07DA001,1,1987/07/19,721,
+07DA001,1,1987/07/20,723,
+07DA001,1,1987/07/21,735,
+07DA001,1,1987/07/22,729,
+07DA001,1,1987/07/23,702,
+07DA001,1,1987/07/24,676,
+07DA001,1,1987/07/25,647,
+07DA001,1,1987/07/26,635,
+07DA001,1,1987/07/27,629,
+07DA001,1,1987/07/28,631,
+07DA001,1,1987/07/29,633,
+07DA001,1,1987/07/30,637,
+07DA001,1,1987/07/31,652,
+07DA001,1,1987/08/01,715,
+07DA001,1,1987/08/02,754,
+07DA001,1,1987/08/03,748,
+07DA001,1,1987/08/04,739,
+07DA001,1,1987/08/05,771,
+07DA001,1,1987/08/06,1810,
+07DA001,1,1987/08/07,2090,
+07DA001,1,1987/08/08,1800,
+07DA001,1,1987/08/09,1670,
+07DA001,1,1987/08/10,1630,
+07DA001,1,1987/08/11,1510,
+07DA001,1,1987/08/12,1380,
+07DA001,1,1987/08/13,1280,
+07DA001,1,1987/08/14,1210,
+07DA001,1,1987/08/15,1180,
+07DA001,1,1987/08/16,1190,
+07DA001,1,1987/08/17,1130,
+07DA001,1,1987/08/18,1050,
+07DA001,1,1987/08/19,1010,
+07DA001,1,1987/08/20,952,
+07DA001,1,1987/08/21,897,
+07DA001,1,1987/08/22,858,
+07DA001,1,1987/08/23,826,
+07DA001,1,1987/08/24,813,
+07DA001,1,1987/08/25,810,
+07DA001,1,1987/08/26,841,
+07DA001,1,1987/08/27,846,
+07DA001,1,1987/08/28,806,
+07DA001,1,1987/08/29,764,
+07DA001,1,1987/08/30,736,A
+07DA001,1,1987/08/31,695,E
+07DA001,1,1987/09/01,720,E
+07DA001,1,1987/09/02,680,E
+07DA001,1,1987/09/03,615,E
+07DA001,1,1987/09/04,640,E
+07DA001,1,1987/09/05,620,E
+07DA001,1,1987/09/06,600,E
+07DA001,1,1987/09/07,640,E
+07DA001,1,1987/09/08,680,E
+07DA001,1,1987/09/09,675,E
+07DA001,1,1987/09/10,658,A
+07DA001,1,1987/09/11,600,E
+07DA001,1,1987/09/12,580,E
+07DA001,1,1987/09/13,560,E
+07DA001,1,1987/09/14,545,E
+07DA001,1,1987/09/15,525,E
+07DA001,1,1987/09/16,520,E
+07DA001,1,1987/09/17,525,E
+07DA001,1,1987/09/18,520,E
+07DA001,1,1987/09/19,540,E
+07DA001,1,1987/09/20,560,E
+07DA001,1,1987/09/21,565,E
+07DA001,1,1987/09/22,540,E
+07DA001,1,1987/09/23,513,A
+07DA001,1,1987/09/24,488,
+07DA001,1,1987/09/25,463,
+07DA001,1,1987/09/26,444,
+07DA001,1,1987/09/27,426,
+07DA001,1,1987/09/28,411,
+07DA001,1,1987/09/29,399,
+07DA001,1,1987/09/30,404,
+07DA001,1,1987/10/01,409,
+07DA001,1,1987/10/02,406,
+07DA001,1,1987/10/03,401,
+07DA001,1,1987/10/04,399,
+07DA001,1,1987/10/05,398,
+07DA001,1,1987/10/06,383,
+07DA001,1,1987/10/07,371,
+07DA001,1,1987/10/08,368,
+07DA001,1,1987/10/09,362,
+07DA001,1,1987/10/10,361,
+07DA001,1,1987/10/11,360,
+07DA001,1,1987/10/12,371,
+07DA001,1,1987/10/13,368,
+07DA001,1,1987/10/14,347,
+07DA001,1,1987/10/15,338,
+07DA001,1,1987/10/16,331,
+07DA001,1,1987/10/17,326,
+07DA001,1,1987/10/18,321,
+07DA001,1,1987/10/19,307,
+07DA001,1,1987/10/20,297,
+07DA001,1,1987/10/21,296,
+07DA001,1,1987/10/22,294,
+07DA001,1,1987/10/23,283,
+07DA001,1,1987/10/24,280,
+07DA001,1,1987/10/25,271,
+07DA001,1,1987/10/26,265,
+07DA001,1,1987/10/27,259,
+07DA001,1,1987/10/28,255,
+07DA001,1,1987/10/29,253,
+07DA001,1,1987/10/30,255,
+07DA001,1,1987/10/31,255,
+07DA001,1,1987/11/01,251,
+07DA001,1,1987/11/02,244,
+07DA001,1,1987/11/03,242,
+07DA001,1,1987/11/04,237,B
+07DA001,1,1987/11/05,230,B
+07DA001,1,1987/11/06,233,B
+07DA001,1,1987/11/07,231,B
+07DA001,1,1987/11/08,226,B
+07DA001,1,1987/11/09,225,B
+07DA001,1,1987/11/10,232,B
+07DA001,1,1987/11/11,231,B
+07DA001,1,1987/11/12,237,B
+07DA001,1,1987/11/13,237,B
+07DA001,1,1987/11/14,233,B
+07DA001,1,1987/11/15,224,B
+07DA001,1,1987/11/16,215,B
+07DA001,1,1987/11/17,200,B
+07DA001,1,1987/11/18,182,B
+07DA001,1,1987/11/19,172,B
+07DA001,1,1987/11/20,170,B
+07DA001,1,1987/11/21,180,B
+07DA001,1,1987/11/22,185,B
+07DA001,1,1987/11/23,175,B
+07DA001,1,1987/11/24,174,B
+07DA001,1,1987/11/25,178,B
+07DA001,1,1987/11/26,185,B
+07DA001,1,1987/11/27,195,B
+07DA001,1,1987/11/28,200,B
+07DA001,1,1987/11/29,197,B
+07DA001,1,1987/11/30,195,B
+07DA001,1,1987/12/01,190,B
+07DA001,1,1987/12/02,185,B
+07DA001,1,1987/12/03,182,B
+07DA001,1,1987/12/04,178,B
+07DA001,1,1987/12/05,175,B
+07DA001,1,1987/12/06,172,B
+07DA001,1,1987/12/07,170,B
+07DA001,1,1987/12/08,168,B
+07DA001,1,1987/12/09,166,B
+07DA001,1,1987/12/10,164,B
+07DA001,1,1987/12/11,162,B
+07DA001,1,1987/12/12,160,B
+07DA001,1,1987/12/13,157,B
+07DA001,1,1987/12/14,154,B
+07DA001,1,1987/12/15,151,B
+07DA001,1,1987/12/16,149,B
+07DA001,1,1987/12/17,147,B
+07DA001,1,1987/12/18,145,B
+07DA001,1,1987/12/19,142,B
+07DA001,1,1987/12/20,139,B
+07DA001,1,1987/12/21,137,B
+07DA001,1,1987/12/22,136,B
+07DA001,1,1987/12/23,132,B
+07DA001,1,1987/12/24,127,B
+07DA001,1,1987/12/25,125,B
+07DA001,1,1987/12/26,123,B
+07DA001,1,1987/12/27,119,B
+07DA001,1,1987/12/28,115,B
+07DA001,1,1987/12/29,112,B
+07DA001,1,1987/12/30,109,B
+07DA001,1,1987/12/31,104,B
+07DA001,1,1988/01/01,104,B
+07DA001,1,1988/01/02,102,B
+07DA001,1,1988/01/03,102,B
+07DA001,1,1988/01/04,110,B
+07DA001,1,1988/01/05,118,B
+07DA001,1,1988/01/06,116,B
+07DA001,1,1988/01/07,113,B
+07DA001,1,1988/01/08,111,B
+07DA001,1,1988/01/09,107,B
+07DA001,1,1988/01/10,104,B
+07DA001,1,1988/01/11,101,B
+07DA001,1,1988/01/12,98.2,B
+07DA001,1,1988/01/13,94.0,B
+07DA001,1,1988/01/14,92.4,B
+07DA001,1,1988/01/15,92.1,B
+07DA001,1,1988/01/16,92.3,B
+07DA001,1,1988/01/17,90.5,B
+07DA001,1,1988/01/18,88.6,B
+07DA001,1,1988/01/19,88.6,B
+07DA001,1,1988/01/20,91.3,B
+07DA001,1,1988/01/21,92.4,B
+07DA001,1,1988/01/22,93.9,B
+07DA001,1,1988/01/23,96.6,B
+07DA001,1,1988/01/24,97.2,B
+07DA001,1,1988/01/25,99.3,B
+07DA001,1,1988/01/26,100,B
+07DA001,1,1988/01/27,102,B
+07DA001,1,1988/01/28,105,B
+07DA001,1,1988/01/29,107,B
+07DA001,1,1988/01/30,109,B
+07DA001,1,1988/01/31,109,B
+07DA001,1,1988/02/01,110,B
+07DA001,1,1988/02/02,110,B
+07DA001,1,1988/02/03,109,B
+07DA001,1,1988/02/04,109,B
+07DA001,1,1988/02/05,108,B
+07DA001,1,1988/02/06,108,B
+07DA001,1,1988/02/07,108,B
+07DA001,1,1988/02/08,108,B
+07DA001,1,1988/02/09,107,B
+07DA001,1,1988/02/10,106,B
+07DA001,1,1988/02/11,104,B
+07DA001,1,1988/02/12,101,B
+07DA001,1,1988/02/13,97.3,B
+07DA001,1,1988/02/14,95.4,B
+07DA001,1,1988/02/15,94.8,B
+07DA001,1,1988/02/16,96.0,B
+07DA001,1,1988/02/17,98.1,B
+07DA001,1,1988/02/18,98.7,B
+07DA001,1,1988/02/19,99.1,B
+07DA001,1,1988/02/20,103,B
+07DA001,1,1988/02/21,106,B
+07DA001,1,1988/02/22,107,B
+07DA001,1,1988/02/23,106,B
+07DA001,1,1988/02/24,107,B
+07DA001,1,1988/02/25,109,B
+07DA001,1,1988/02/26,110,B
+07DA001,1,1988/02/27,110,B
+07DA001,1,1988/02/28,110,B
+07DA001,1,1988/02/29,112,B
+07DA001,1,1988/03/01,113,B
+07DA001,1,1988/03/02,114,B
+07DA001,1,1988/03/03,115,B
+07DA001,1,1988/03/04,117,B
+07DA001,1,1988/03/05,117,B
+07DA001,1,1988/03/06,117,B
+07DA001,1,1988/03/07,118,B
+07DA001,1,1988/03/08,118,B
+07DA001,1,1988/03/09,119,B
+07DA001,1,1988/03/10,121,B
+07DA001,1,1988/03/11,123,B
+07DA001,1,1988/03/12,125,B
+07DA001,1,1988/03/13,127,B
+07DA001,1,1988/03/14,129,B
+07DA001,1,1988/03/15,130,B
+07DA001,1,1988/03/16,130,B
+07DA001,1,1988/03/17,131,B
+07DA001,1,1988/03/18,134,B
+07DA001,1,1988/03/19,136,B
+07DA001,1,1988/03/20,137,B
+07DA001,1,1988/03/21,138,B
+07DA001,1,1988/03/22,140,B
+07DA001,1,1988/03/23,142,B
+07DA001,1,1988/03/24,144,B
+07DA001,1,1988/03/25,145,B
+07DA001,1,1988/03/26,147,B
+07DA001,1,1988/03/27,149,B
+07DA001,1,1988/03/28,154,B
+07DA001,1,1988/03/29,157,B
+07DA001,1,1988/03/30,158,B
+07DA001,1,1988/03/31,160,B
+07DA001,1,1988/04/01,166,B
+07DA001,1,1988/04/02,175,B
+07DA001,1,1988/04/03,185,B
+07DA001,1,1988/04/04,187,B
+07DA001,1,1988/04/05,186,B
+07DA001,1,1988/04/06,186,B
+07DA001,1,1988/04/07,188,B
+07DA001,1,1988/04/08,194,B
+07DA001,1,1988/04/09,196,B
+07DA001,1,1988/04/10,203,B
+07DA001,1,1988/04/11,211,B
+07DA001,1,1988/04/12,215,B
+07DA001,1,1988/04/13,227,B
+07DA001,1,1988/04/14,239,B
+07DA001,1,1988/04/15,262,B
+07DA001,1,1988/04/16,280,B
+07DA001,1,1988/04/17,298,B
+07DA001,1,1988/04/18,310,B
+07DA001,1,1988/04/19,330,B
+07DA001,1,1988/04/20,350,B
+07DA001,1,1988/04/21,365,B
+07DA001,1,1988/04/22,385,B
+07DA001,1,1988/04/23,400,B
+07DA001,1,1988/04/24,430,B
+07DA001,1,1988/04/25,460,B
+07DA001,1,1988/04/26,480,B
+07DA001,1,1988/04/27,500,B
+07DA001,1,1988/04/28,520,B
+07DA001,1,1988/04/29,526,
+07DA001,1,1988/04/30,523,
+07DA001,1,1988/05/01,522,
+07DA001,1,1988/05/02,521,
+07DA001,1,1988/05/03,504,
+07DA001,1,1988/05/04,483,
+07DA001,1,1988/05/05,447,
+07DA001,1,1988/05/06,439,
+07DA001,1,1988/05/07,444,
+07DA001,1,1988/05/08,437,
+07DA001,1,1988/05/09,427,
+07DA001,1,1988/05/10,416,
+07DA001,1,1988/05/11,408,
+07DA001,1,1988/05/12,403,
+07DA001,1,1988/05/13,397,
+07DA001,1,1988/05/14,389,
+07DA001,1,1988/05/15,382,
+07DA001,1,1988/05/16,384,
+07DA001,1,1988/05/17,388,
+07DA001,1,1988/05/18,422,
+07DA001,1,1988/05/19,531,
+07DA001,1,1988/05/20,674,
+07DA001,1,1988/05/21,665,
+07DA001,1,1988/05/22,614,
+07DA001,1,1988/05/23,570,
+07DA001,1,1988/05/24,561,
+07DA001,1,1988/05/25,542,
+07DA001,1,1988/05/26,505,
+07DA001,1,1988/05/27,513,
+07DA001,1,1988/05/28,495,
+07DA001,1,1988/05/29,484,
+07DA001,1,1988/05/30,518,
+07DA001,1,1988/05/31,616,
+07DA001,1,1988/06/01,631,
+07DA001,1,1988/06/02,640,
+07DA001,1,1988/06/03,653,
+07DA001,1,1988/06/04,677,
+07DA001,1,1988/06/05,701,
+07DA001,1,1988/06/06,709,
+07DA001,1,1988/06/07,712,
+07DA001,1,1988/06/08,713,
+07DA001,1,1988/06/09,695,
+07DA001,1,1988/06/10,687,
+07DA001,1,1988/06/11,722,
+07DA001,1,1988/06/12,846,
+07DA001,1,1988/06/13,1280,A
+07DA001,1,1988/06/14,1700,
+07DA001,1,1988/06/15,1720,
+07DA001,1,1988/06/16,1700,
+07DA001,1,1988/06/17,1560,
+07DA001,1,1988/06/18,1390,
+07DA001,1,1988/06/19,1250,
+07DA001,1,1988/06/20,1160,
+07DA001,1,1988/06/21,1130,
+07DA001,1,1988/06/22,1130,
+07DA001,1,1988/06/23,1130,
+07DA001,1,1988/06/24,1110,
+07DA001,1,1988/06/25,1040,
+07DA001,1,1988/06/26,974,
+07DA001,1,1988/06/27,924,
+07DA001,1,1988/06/28,902,
+07DA001,1,1988/06/29,956,
+07DA001,1,1988/06/30,997,
+07DA001,1,1988/07/01,1000,
+07DA001,1,1988/07/02,1010,
+07DA001,1,1988/07/03,1070,
+07DA001,1,1988/07/04,1160,
+07DA001,1,1988/07/05,1170,
+07DA001,1,1988/07/06,1210,
+07DA001,1,1988/07/07,1310,
+07DA001,1,1988/07/08,1330,
+07DA001,1,1988/07/09,1550,
+07DA001,1,1988/07/10,2090,
+07DA001,1,1988/07/11,2190,
+07DA001,1,1988/07/12,2060,
+07DA001,1,1988/07/13,1920,
+07DA001,1,1988/07/14,1960,
+07DA001,1,1988/07/15,1950,
+07DA001,1,1988/07/16,1970,
+07DA001,1,1988/07/17,2020,
+07DA001,1,1988/07/18,1900,
+07DA001,1,1988/07/19,1720,
+07DA001,1,1988/07/20,1570,
+07DA001,1,1988/07/21,1450,
+07DA001,1,1988/07/22,1340,
+07DA001,1,1988/07/23,1250,
+07DA001,1,1988/07/24,1170,
+07DA001,1,1988/07/25,1090,
+07DA001,1,1988/07/26,1030,
+07DA001,1,1988/07/27,992,
+07DA001,1,1988/07/28,972,
+07DA001,1,1988/07/29,942,
+07DA001,1,1988/07/30,889,
+07DA001,1,1988/07/31,843,
+07DA001,1,1988/08/01,832,
+07DA001,1,1988/08/02,827,
+07DA001,1,1988/08/03,829,
+07DA001,1,1988/08/04,800,
+07DA001,1,1988/08/05,751,
+07DA001,1,1988/08/06,725,
+07DA001,1,1988/08/07,711,
+07DA001,1,1988/08/08,687,
+07DA001,1,1988/08/09,671,
+07DA001,1,1988/08/10,656,
+07DA001,1,1988/08/11,663,
+07DA001,1,1988/08/12,757,
+07DA001,1,1988/08/13,849,
+07DA001,1,1988/08/14,825,
+07DA001,1,1988/08/15,772,
+07DA001,1,1988/08/16,750,
+07DA001,1,1988/08/17,738,
+07DA001,1,1988/08/18,707,
+07DA001,1,1988/08/19,683,
+07DA001,1,1988/08/20,672,
+07DA001,1,1988/08/21,683,
+07DA001,1,1988/08/22,695,
+07DA001,1,1988/08/23,748,
+07DA001,1,1988/08/24,807,
+07DA001,1,1988/08/25,819,
+07DA001,1,1988/08/26,806,
+07DA001,1,1988/08/27,770,
+07DA001,1,1988/08/28,735,
+07DA001,1,1988/08/29,701,
+07DA001,1,1988/08/30,682,
+07DA001,1,1988/08/31,707,
+07DA001,1,1988/09/01,716,
+07DA001,1,1988/09/02,716,
+07DA001,1,1988/09/03,703,
+07DA001,1,1988/09/04,682,
+07DA001,1,1988/09/05,669,
+07DA001,1,1988/09/06,659,
+07DA001,1,1988/09/07,626,
+07DA001,1,1988/09/08,586,
+07DA001,1,1988/09/09,565,
+07DA001,1,1988/09/10,562,
+07DA001,1,1988/09/11,577,
+07DA001,1,1988/09/12,589,
+07DA001,1,1988/09/13,586,
+07DA001,1,1988/09/14,603,
+07DA001,1,1988/09/15,577,
+07DA001,1,1988/09/16,531,
+07DA001,1,1988/09/17,502,
+07DA001,1,1988/09/18,484,
+07DA001,1,1988/09/19,468,
+07DA001,1,1988/09/20,453,
+07DA001,1,1988/09/21,449,
+07DA001,1,1988/09/22,457,
+07DA001,1,1988/09/23,468,
+07DA001,1,1988/09/24,472,
+07DA001,1,1988/09/25,458,
+07DA001,1,1988/09/26,449,
+07DA001,1,1988/09/27,439,
+07DA001,1,1988/09/28,432,
+07DA001,1,1988/09/29,420,
+07DA001,1,1988/09/30,416,
+07DA001,1,1988/10/01,410,
+07DA001,1,1988/10/02,409,
+07DA001,1,1988/10/03,404,
+07DA001,1,1988/10/04,401,
+07DA001,1,1988/10/05,402,
+07DA001,1,1988/10/06,398,
+07DA001,1,1988/10/07,386,
+07DA001,1,1988/10/08,391,
+07DA001,1,1988/10/09,430,
+07DA001,1,1988/10/10,430,
+07DA001,1,1988/10/11,419,
+07DA001,1,1988/10/12,411,
+07DA001,1,1988/10/13,406,
+07DA001,1,1988/10/14,402,
+07DA001,1,1988/10/15,397,
+07DA001,1,1988/10/16,391,
+07DA001,1,1988/10/17,385,
+07DA001,1,1988/10/18,379,
+07DA001,1,1988/10/19,377,
+07DA001,1,1988/10/20,378,
+07DA001,1,1988/10/21,379,
+07DA001,1,1988/10/22,381,
+07DA001,1,1988/10/23,383,
+07DA001,1,1988/10/24,380,
+07DA001,1,1988/10/25,371,
+07DA001,1,1988/10/26,364,B
+07DA001,1,1988/10/27,363,B
+07DA001,1,1988/10/28,347,B
+07DA001,1,1988/10/29,343,B
+07DA001,1,1988/10/30,342,B
+07DA001,1,1988/10/31,355,B
+07DA001,1,1988/11/01,358,B
+07DA001,1,1988/11/02,358,B
+07DA001,1,1988/11/03,358,B
+07DA001,1,1988/11/04,340,B
+07DA001,1,1988/11/05,325,B
+07DA001,1,1988/11/06,310,B
+07DA001,1,1988/11/07,295,B
+07DA001,1,1988/11/08,280,B
+07DA001,1,1988/11/09,265,B
+07DA001,1,1988/11/10,252,B
+07DA001,1,1988/11/11,242,B
+07DA001,1,1988/11/12,232,B
+07DA001,1,1988/11/13,222,B
+07DA001,1,1988/11/14,212,B
+07DA001,1,1988/11/15,208,B
+07DA001,1,1988/11/16,200,B
+07DA001,1,1988/11/17,195,B
+07DA001,1,1988/11/18,190,B
+07DA001,1,1988/11/19,182,B
+07DA001,1,1988/11/20,178,B
+07DA001,1,1988/11/21,175,B
+07DA001,1,1988/11/22,172,B
+07DA001,1,1988/11/23,170,B
+07DA001,1,1988/11/24,170,B
+07DA001,1,1988/11/25,170,B
+07DA001,1,1988/11/26,170,B
+07DA001,1,1988/11/27,172,B
+07DA001,1,1988/11/28,172,B
+07DA001,1,1988/11/29,175,B
+07DA001,1,1988/11/30,180,B
+07DA001,1,1988/12/01,185,B
+07DA001,1,1988/12/02,190,B
+07DA001,1,1988/12/03,193,B
+07DA001,1,1988/12/04,198,B
+07DA001,1,1988/12/05,200,B
+07DA001,1,1988/12/06,198,B
+07DA001,1,1988/12/07,194,B
+07DA001,1,1988/12/08,192,B
+07DA001,1,1988/12/09,181,B
+07DA001,1,1988/12/10,166,B
+07DA001,1,1988/12/11,161,B
+07DA001,1,1988/12/12,155,B
+07DA001,1,1988/12/13,166,B
+07DA001,1,1988/12/14,187,B
+07DA001,1,1988/12/15,187,B
+07DA001,1,1988/12/16,180,B
+07DA001,1,1988/12/17,177,B
+07DA001,1,1988/12/18,179,B
+07DA001,1,1988/12/19,175,B
+07DA001,1,1988/12/20,166,B
+07DA001,1,1988/12/21,158,B
+07DA001,1,1988/12/22,153,B
+07DA001,1,1988/12/23,147,B
+07DA001,1,1988/12/24,145,B
+07DA001,1,1988/12/25,150,B
+07DA001,1,1988/12/26,152,B
+07DA001,1,1988/12/27,152,B
+07DA001,1,1988/12/28,147,B
+07DA001,1,1988/12/29,138,B
+07DA001,1,1988/12/30,132,B
+07DA001,1,1988/12/31,128,B
+07DA001,1,1989/01/01,137,B
+07DA001,1,1989/01/02,141,B
+07DA001,1,1989/01/03,141,B
+07DA001,1,1989/01/04,139,B
+07DA001,1,1989/01/05,135,B
+07DA001,1,1989/01/06,135,B
+07DA001,1,1989/01/07,133,B
+07DA001,1,1989/01/08,131,B
+07DA001,1,1989/01/09,130,B
+07DA001,1,1989/01/10,129,B
+07DA001,1,1989/01/11,130,B
+07DA001,1,1989/01/12,130,B
+07DA001,1,1989/01/13,132,B
+07DA001,1,1989/01/14,135,B
+07DA001,1,1989/01/15,136,B
+07DA001,1,1989/01/16,135,B
+07DA001,1,1989/01/17,134,B
+07DA001,1,1989/01/18,136,B
+07DA001,1,1989/01/19,137,B
+07DA001,1,1989/01/20,138,B
+07DA001,1,1989/01/21,137,B
+07DA001,1,1989/01/22,136,B
+07DA001,1,1989/01/23,136,B
+07DA001,1,1989/01/24,137,B
+07DA001,1,1989/01/25,137,B
+07DA001,1,1989/01/26,140,B
+07DA001,1,1989/01/27,140,B
+07DA001,1,1989/01/28,140,B
+07DA001,1,1989/01/29,140,B
+07DA001,1,1989/01/30,140,B
+07DA001,1,1989/01/31,140,B
+07DA001,1,1989/02/01,141,B
+07DA001,1,1989/02/02,140,B
+07DA001,1,1989/02/03,136,B
+07DA001,1,1989/02/04,132,B
+07DA001,1,1989/02/05,130,B
+07DA001,1,1989/02/06,129,B
+07DA001,1,1989/02/07,128,B
+07DA001,1,1989/02/08,128,B
+07DA001,1,1989/02/09,128,B
+07DA001,1,1989/02/10,128,B
+07DA001,1,1989/02/11,128,B
+07DA001,1,1989/02/12,128,B
+07DA001,1,1989/02/13,128,B
+07DA001,1,1989/02/14,128,B
+07DA001,1,1989/02/15,128,B
+07DA001,1,1989/02/16,128,B
+07DA001,1,1989/02/17,128,B
+07DA001,1,1989/02/18,128,B
+07DA001,1,1989/02/19,128,B
+07DA001,1,1989/02/20,128,B
+07DA001,1,1989/02/21,129,B
+07DA001,1,1989/02/22,129,B
+07DA001,1,1989/02/23,129,B
+07DA001,1,1989/02/24,129,B
+07DA001,1,1989/02/25,129,B
+07DA001,1,1989/02/26,130,B
+07DA001,1,1989/02/27,130,B
+07DA001,1,1989/02/28,131,B
+07DA001,1,1989/03/01,132,B
+07DA001,1,1989/03/02,133,B
+07DA001,1,1989/03/03,134,B
+07DA001,1,1989/03/04,135,B
+07DA001,1,1989/03/05,136,B
+07DA001,1,1989/03/06,137,B
+07DA001,1,1989/03/07,137,B
+07DA001,1,1989/03/08,138,B
+07DA001,1,1989/03/09,138,B
+07DA001,1,1989/03/10,139,B
+07DA001,1,1989/03/11,139,B
+07DA001,1,1989/03/12,140,B
+07DA001,1,1989/03/13,140,B
+07DA001,1,1989/03/14,139,B
+07DA001,1,1989/03/15,138,B
+07DA001,1,1989/03/16,137,B
+07DA001,1,1989/03/17,135,B
+07DA001,1,1989/03/18,135,B
+07DA001,1,1989/03/19,134,B
+07DA001,1,1989/03/20,133,B
+07DA001,1,1989/03/21,133,B
+07DA001,1,1989/03/22,133,B
+07DA001,1,1989/03/23,133,B
+07DA001,1,1989/03/24,132,B
+07DA001,1,1989/03/25,132,B
+07DA001,1,1989/03/26,132,B
+07DA001,1,1989/03/27,132,B
+07DA001,1,1989/03/28,131,B
+07DA001,1,1989/03/29,131,B
+07DA001,1,1989/03/30,131,B
+07DA001,1,1989/03/31,131,B
+07DA001,1,1989/04/01,131,B
+07DA001,1,1989/04/02,131,B
+07DA001,1,1989/04/03,132,B
+07DA001,1,1989/04/04,132,B
+07DA001,1,1989/04/05,133,B
+07DA001,1,1989/04/06,134,B
+07DA001,1,1989/04/07,135,B
+07DA001,1,1989/04/08,136,B
+07DA001,1,1989/04/09,138,B
+07DA001,1,1989/04/10,142,B
+07DA001,1,1989/04/11,147,B
+07DA001,1,1989/04/12,147,B
+07DA001,1,1989/04/13,155,B
+07DA001,1,1989/04/14,160,B
+07DA001,1,1989/04/15,171,B
+07DA001,1,1989/04/16,174,B
+07DA001,1,1989/04/17,200,B
+07DA001,1,1989/04/18,238,B
+07DA001,1,1989/04/19,252,B
+07DA001,1,1989/04/20,259,B
+07DA001,1,1989/04/21,271,B
+07DA001,1,1989/04/22,282,B
+07DA001,1,1989/04/23,300,B
+07DA001,1,1989/04/24,315,B
+07DA001,1,1989/04/25,330,E
+07DA001,1,1989/04/26,350,E
+07DA001,1,1989/04/27,370,E
+07DA001,1,1989/04/28,395,E
+07DA001,1,1989/04/29,425,E
+07DA001,1,1989/04/30,450,E
+07DA001,1,1989/05/01,475,E
+07DA001,1,1989/05/02,500,E
+07DA001,1,1989/05/03,530,E
+07DA001,1,1989/05/04,570,E
+07DA001,1,1989/05/05,600,E
+07DA001,1,1989/05/06,640,E
+07DA001,1,1989/05/07,711,A
+07DA001,1,1989/05/08,773,
+07DA001,1,1989/05/09,772,
+07DA001,1,1989/05/10,754,
+07DA001,1,1989/05/11,736,
+07DA001,1,1989/05/12,740,
+07DA001,1,1989/05/13,772,
+07DA001,1,1989/05/14,798,
+07DA001,1,1989/05/15,813,
+07DA001,1,1989/05/16,822,
+07DA001,1,1989/05/17,839,
+07DA001,1,1989/05/18,833,
+07DA001,1,1989/05/19,820,
+07DA001,1,1989/05/20,856,
+07DA001,1,1989/05/21,952,
+07DA001,1,1989/05/22,1050,
+07DA001,1,1989/05/23,1180,
+07DA001,1,1989/05/24,1490,
+07DA001,1,1989/05/25,1540,
+07DA001,1,1989/05/26,1450,
+07DA001,1,1989/05/27,1380,
+07DA001,1,1989/05/28,1300,
+07DA001,1,1989/05/29,1230,
+07DA001,1,1989/05/30,1160,
+07DA001,1,1989/05/31,1100,
+07DA001,1,1989/06/01,1050,
+07DA001,1,1989/06/02,1010,
+07DA001,1,1989/06/03,965,
+07DA001,1,1989/06/04,924,
+07DA001,1,1989/06/05,890,
+07DA001,1,1989/06/06,913,
+07DA001,1,1989/06/07,1010,
+07DA001,1,1989/06/08,1130,
+07DA001,1,1989/06/09,1150,
+07DA001,1,1989/06/10,1190,
+07DA001,1,1989/06/11,1280,
+07DA001,1,1989/06/12,1310,
+07DA001,1,1989/06/13,1290,
+07DA001,1,1989/06/14,1340,
+07DA001,1,1989/06/15,1370,
+07DA001,1,1989/06/16,1370,
+07DA001,1,1989/06/17,1360,
+07DA001,1,1989/06/18,1370,
+07DA001,1,1989/06/19,1410,
+07DA001,1,1989/06/20,1470,
+07DA001,1,1989/06/21,1480,
+07DA001,1,1989/06/22,1420,
+07DA001,1,1989/06/23,1320,
+07DA001,1,1989/06/24,1230,
+07DA001,1,1989/06/25,1160,
+07DA001,1,1989/06/26,1100,
+07DA001,1,1989/06/27,1040,
+07DA001,1,1989/06/28,998,
+07DA001,1,1989/06/29,994,
+07DA001,1,1989/06/30,1020,
+07DA001,1,1989/07/01,1130,
+07DA001,1,1989/07/02,1580,
+07DA001,1,1989/07/03,1780,
+07DA001,1,1989/07/04,1760,
+07DA001,1,1989/07/05,1720,
+07DA001,1,1989/07/06,1810,
+07DA001,1,1989/07/07,1830,
+07DA001,1,1989/07/08,1670,
+07DA001,1,1989/07/09,1550,
+07DA001,1,1989/07/10,1490,
+07DA001,1,1989/07/11,1450,
+07DA001,1,1989/07/12,1600,
+07DA001,1,1989/07/13,2190,
+07DA001,1,1989/07/14,2260,
+07DA001,1,1989/07/15,2200,
+07DA001,1,1989/07/16,2070,
+07DA001,1,1989/07/17,1900,
+07DA001,1,1989/07/18,1770,
+07DA001,1,1989/07/19,1710,
+07DA001,1,1989/07/20,1690,
+07DA001,1,1989/07/21,1650,
+07DA001,1,1989/07/22,1560,
+07DA001,1,1989/07/23,1450,
+07DA001,1,1989/07/24,1380,
+07DA001,1,1989/07/25,1380,
+07DA001,1,1989/07/26,1390,
+07DA001,1,1989/07/27,1380,
+07DA001,1,1989/07/28,1320,
+07DA001,1,1989/07/29,1270,
+07DA001,1,1989/07/30,1210,
+07DA001,1,1989/07/31,1180,
+07DA001,1,1989/08/01,1130,
+07DA001,1,1989/08/02,1120,
+07DA001,1,1989/08/03,1160,
+07DA001,1,1989/08/04,1180,
+07DA001,1,1989/08/05,1220,
+07DA001,1,1989/08/06,1630,
+07DA001,1,1989/08/07,2440,
+07DA001,1,1989/08/08,2720,
+07DA001,1,1989/08/09,2550,
+07DA001,1,1989/08/10,2280,
+07DA001,1,1989/08/11,2060,
+07DA001,1,1989/08/12,1890,
+07DA001,1,1989/08/13,1750,
+07DA001,1,1989/08/14,1630,
+07DA001,1,1989/08/15,1530,
+07DA001,1,1989/08/16,1420,
+07DA001,1,1989/08/17,1330,
+07DA001,1,1989/08/18,1260,
+07DA001,1,1989/08/19,1200,
+07DA001,1,1989/08/20,1200,
+07DA001,1,1989/08/21,2040,
+07DA001,1,1989/08/22,2600,
+07DA001,1,1989/08/23,2430,
+07DA001,1,1989/08/24,2220,
+07DA001,1,1989/08/25,2020,
+07DA001,1,1989/08/26,1940,
+07DA001,1,1989/08/27,1860,
+07DA001,1,1989/08/28,1730,
+07DA001,1,1989/08/29,1600,
+07DA001,1,1989/08/30,1500,
+07DA001,1,1989/08/31,1420,
+07DA001,1,1989/09/01,1360,
+07DA001,1,1989/09/02,1310,
+07DA001,1,1989/09/03,1270,
+07DA001,1,1989/09/04,1220,
+07DA001,1,1989/09/05,1190,
+07DA001,1,1989/09/06,1160,
+07DA001,1,1989/09/07,1120,
+07DA001,1,1989/09/08,1100,
+07DA001,1,1989/09/09,1080,
+07DA001,1,1989/09/10,1060,
+07DA001,1,1989/09/11,1030,
+07DA001,1,1989/09/12,1020,
+07DA001,1,1989/09/13,996,
+07DA001,1,1989/09/14,990,
+07DA001,1,1989/09/15,969,
+07DA001,1,1989/09/16,942,
+07DA001,1,1989/09/17,905,
+07DA001,1,1989/09/18,879,
+07DA001,1,1989/09/19,847,
+07DA001,1,1989/09/20,839,
+07DA001,1,1989/09/21,828,
+07DA001,1,1989/09/22,819,
+07DA001,1,1989/09/23,843,
+07DA001,1,1989/09/24,848,
+07DA001,1,1989/09/25,823,
+07DA001,1,1989/09/26,797,
+07DA001,1,1989/09/27,780,
+07DA001,1,1989/09/28,769,
+07DA001,1,1989/09/29,762,
+07DA001,1,1989/09/30,780,
+07DA001,1,1989/10/01,778,
+07DA001,1,1989/10/02,777,
+07DA001,1,1989/10/03,760,
+07DA001,1,1989/10/04,749,
+07DA001,1,1989/10/05,734,
+07DA001,1,1989/10/06,708,
+07DA001,1,1989/10/07,698,
+07DA001,1,1989/10/08,691,
+07DA001,1,1989/10/09,672,
+07DA001,1,1989/10/10,651,
+07DA001,1,1989/10/11,634,
+07DA001,1,1989/10/12,624,
+07DA001,1,1989/10/13,618,
+07DA001,1,1989/10/14,612,
+07DA001,1,1989/10/15,609,
+07DA001,1,1989/10/16,602,
+07DA001,1,1989/10/17,579,
+07DA001,1,1989/10/18,587,
+07DA001,1,1989/10/19,596,
+07DA001,1,1989/10/20,591,
+07DA001,1,1989/10/21,579,
+07DA001,1,1989/10/22,566,
+07DA001,1,1989/10/23,562,
+07DA001,1,1989/10/24,560,
+07DA001,1,1989/10/25,554,
+07DA001,1,1989/10/26,555,
+07DA001,1,1989/10/27,563,
+07DA001,1,1989/10/28,557,
+07DA001,1,1989/10/29,549,
+07DA001,1,1989/10/30,547,
+07DA001,1,1989/10/31,534,
+07DA001,1,1989/11/01,518,B
+07DA001,1,1989/11/02,485,B
+07DA001,1,1989/11/03,482,B
+07DA001,1,1989/11/04,497,B
+07DA001,1,1989/11/05,483,B
+07DA001,1,1989/11/06,467,B
+07DA001,1,1989/11/07,473,B
+07DA001,1,1989/11/08,465,B
+07DA001,1,1989/11/09,448,B
+07DA001,1,1989/11/10,440,B
+07DA001,1,1989/11/11,435,B
+07DA001,1,1989/11/12,425,B
+07DA001,1,1989/11/13,415,B
+07DA001,1,1989/11/14,405,B
+07DA001,1,1989/11/15,397,B
+07DA001,1,1989/11/16,372,B
+07DA001,1,1989/11/17,358,B
+07DA001,1,1989/11/18,314,B
+07DA001,1,1989/11/19,337,B
+07DA001,1,1989/11/20,324,B
+07DA001,1,1989/11/21,310,B
+07DA001,1,1989/11/22,300,B
+07DA001,1,1989/11/23,295,B
+07DA001,1,1989/11/24,290,B
+07DA001,1,1989/11/25,288,B
+07DA001,1,1989/11/26,290,B
+07DA001,1,1989/11/27,295,B
+07DA001,1,1989/11/28,297,B
+07DA001,1,1989/11/29,300,B
+07DA001,1,1989/11/30,300,B
+07DA001,1,1989/12/01,295,B
+07DA001,1,1989/12/02,280,B
+07DA001,1,1989/12/03,270,B
+07DA001,1,1989/12/04,252,B
+07DA001,1,1989/12/05,239,B
+07DA001,1,1989/12/06,228,B
+07DA001,1,1989/12/07,233,B
+07DA001,1,1989/12/08,240,B
+07DA001,1,1989/12/09,243,B
+07DA001,1,1989/12/10,230,B
+07DA001,1,1989/12/11,234,B
+07DA001,1,1989/12/12,244,B
+07DA001,1,1989/12/13,246,B
+07DA001,1,1989/12/14,254,B
+07DA001,1,1989/12/15,269,B
+07DA001,1,1989/12/16,245,B
+07DA001,1,1989/12/17,232,B
+07DA001,1,1989/12/18,224,B
+07DA001,1,1989/12/19,208,B
+07DA001,1,1989/12/20,199,B
+07DA001,1,1989/12/21,200,B
+07DA001,1,1989/12/22,198,B
+07DA001,1,1989/12/23,194,B
+07DA001,1,1989/12/24,193,B
+07DA001,1,1989/12/25,192,B
+07DA001,1,1989/12/26,196,B
+07DA001,1,1989/12/27,209,B
+07DA001,1,1989/12/28,212,B
+07DA001,1,1989/12/29,205,B
+07DA001,1,1989/12/30,201,B
+07DA001,1,1989/12/31,197,B
+07DA001,1,1990/01/01,196,B
+07DA001,1,1990/01/02,194,B
+07DA001,1,1990/01/03,194,B
+07DA001,1,1990/01/04,205,B
+07DA001,1,1990/01/05,235,B
+07DA001,1,1990/01/06,265,B
+07DA001,1,1990/01/07,279,B
+07DA001,1,1990/01/08,277,B
+07DA001,1,1990/01/09,264,B
+07DA001,1,1990/01/10,247,B
+07DA001,1,1990/01/11,230,B
+07DA001,1,1990/01/12,226,B
+07DA001,1,1990/01/13,221,B
+07DA001,1,1990/01/14,216,B
+07DA001,1,1990/01/15,216,B
+07DA001,1,1990/01/16,214,B
+07DA001,1,1990/01/17,215,B
+07DA001,1,1990/01/18,216,B
+07DA001,1,1990/01/19,217,B
+07DA001,1,1990/01/20,217,B
+07DA001,1,1990/01/21,219,B
+07DA001,1,1990/01/22,220,B
+07DA001,1,1990/01/23,217,B
+07DA001,1,1990/01/24,209,B
+07DA001,1,1990/01/25,205,B
+07DA001,1,1990/01/26,207,B
+07DA001,1,1990/01/27,210,B
+07DA001,1,1990/01/28,209,B
+07DA001,1,1990/01/29,203,B
+07DA001,1,1990/01/30,198,B
+07DA001,1,1990/01/31,191,B
+07DA001,1,1990/02/01,186,B
+07DA001,1,1990/02/02,181,B
+07DA001,1,1990/02/03,179,B
+07DA001,1,1990/02/04,181,B
+07DA001,1,1990/02/05,182,B
+07DA001,1,1990/02/06,181,B
+07DA001,1,1990/02/07,179,B
+07DA001,1,1990/02/08,177,B
+07DA001,1,1990/02/09,172,B
+07DA001,1,1990/02/10,172,B
+07DA001,1,1990/02/11,168,B
+07DA001,1,1990/02/12,164,B
+07DA001,1,1990/02/13,162,B
+07DA001,1,1990/02/14,161,B
+07DA001,1,1990/02/15,163,B
+07DA001,1,1990/02/16,165,B
+07DA001,1,1990/02/17,167,B
+07DA001,1,1990/02/18,172,B
+07DA001,1,1990/02/19,175,B
+07DA001,1,1990/02/20,177,B
+07DA001,1,1990/02/21,178,B
+07DA001,1,1990/02/22,178,B
+07DA001,1,1990/02/23,178,B
+07DA001,1,1990/02/24,178,B
+07DA001,1,1990/02/25,177,B
+07DA001,1,1990/02/26,177,B
+07DA001,1,1990/02/27,175,B
+07DA001,1,1990/02/28,175,B
+07DA001,1,1990/03/01,175,B
+07DA001,1,1990/03/02,176,B
+07DA001,1,1990/03/03,180,B
+07DA001,1,1990/03/04,185,B
+07DA001,1,1990/03/05,187,B
+07DA001,1,1990/03/06,188,B
+07DA001,1,1990/03/07,190,B
+07DA001,1,1990/03/08,192,B
+07DA001,1,1990/03/09,193,B
+07DA001,1,1990/03/10,194,B
+07DA001,1,1990/03/11,194,B
+07DA001,1,1990/03/12,194,B
+07DA001,1,1990/03/13,194,B
+07DA001,1,1990/03/14,198,B
+07DA001,1,1990/03/15,203,B
+07DA001,1,1990/03/16,207,B
+07DA001,1,1990/03/17,210,B
+07DA001,1,1990/03/18,216,B
+07DA001,1,1990/03/19,221,B
+07DA001,1,1990/03/20,225,B
+07DA001,1,1990/03/21,225,B
+07DA001,1,1990/03/22,221,B
+07DA001,1,1990/03/23,220,B
+07DA001,1,1990/03/24,221,B
+07DA001,1,1990/03/25,221,B
+07DA001,1,1990/03/26,224,B
+07DA001,1,1990/03/27,237,B
+07DA001,1,1990/03/28,246,B
+07DA001,1,1990/03/29,262,B
+07DA001,1,1990/03/30,276,B
+07DA001,1,1990/03/31,284,B
+07DA001,1,1990/04/01,285,B
+07DA001,1,1990/04/02,293,B
+07DA001,1,1990/04/03,309,B
+07DA001,1,1990/04/04,330,B
+07DA001,1,1990/04/05,349,B
+07DA001,1,1990/04/06,376,B
+07DA001,1,1990/04/07,400,B
+07DA001,1,1990/04/08,413,B
+07DA001,1,1990/04/09,419,B
+07DA001,1,1990/04/10,425,B
+07DA001,1,1990/04/11,442,B
+07DA001,1,1990/04/12,457,B
+07DA001,1,1990/04/13,467,B
+07DA001,1,1990/04/14,487,B
+07DA001,1,1990/04/15,505,B
+07DA001,1,1990/04/16,502,B
+07DA001,1,1990/04/17,493,B
+07DA001,1,1990/04/18,494,B
+07DA001,1,1990/04/19,500,B
+07DA001,1,1990/04/20,530,B
+07DA001,1,1990/04/21,700,B
+07DA001,1,1990/04/22,839,B
+07DA001,1,1990/04/23,839,B
+07DA001,1,1990/04/24,936,B
+07DA001,1,1990/04/25,1210,B
+07DA001,1,1990/04/26,1310,B
+07DA001,1,1990/04/27,1340,
+07DA001,1,1990/04/28,1480,
+07DA001,1,1990/04/29,1450,
+07DA001,1,1990/04/30,1390,
+07DA001,1,1990/05/01,1410,
+07DA001,1,1990/05/02,1390,
+07DA001,1,1990/05/03,1360,
+07DA001,1,1990/05/04,1330,
+07DA001,1,1990/05/05,1290,
+07DA001,1,1990/05/06,1260,
+07DA001,1,1990/05/07,1290,
+07DA001,1,1990/05/08,1360,
+07DA001,1,1990/05/09,1390,
+07DA001,1,1990/05/10,1390,
+07DA001,1,1990/05/11,1360,
+07DA001,1,1990/05/12,1350,
+07DA001,1,1990/05/13,1370,
+07DA001,1,1990/05/14,1330,
+07DA001,1,1990/05/15,1280,
+07DA001,1,1990/05/16,1230,
+07DA001,1,1990/05/17,1200,
+07DA001,1,1990/05/18,1160,
+07DA001,1,1990/05/19,1130,
+07DA001,1,1990/05/20,1110,
+07DA001,1,1990/05/21,1100,
+07DA001,1,1990/05/22,1090,
+07DA001,1,1990/05/23,1070,
+07DA001,1,1990/05/24,1080,
+07DA001,1,1990/05/25,1090,
+07DA001,1,1990/05/26,1110,
+07DA001,1,1990/05/27,1180,
+07DA001,1,1990/05/28,1210,
+07DA001,1,1990/05/29,1190,
+07DA001,1,1990/05/30,1310,
+07DA001,1,1990/05/31,1480,
+07DA001,1,1990/06/01,1540,
+07DA001,1,1990/06/02,1550,
+07DA001,1,1990/06/03,1590,
+07DA001,1,1990/06/04,2000,
+07DA001,1,1990/06/05,2120,
+07DA001,1,1990/06/06,2050,
+07DA001,1,1990/06/07,1960,
+07DA001,1,1990/06/08,1920,
+07DA001,1,1990/06/09,1940,
+07DA001,1,1990/06/10,1850,
+07DA001,1,1990/06/11,1800,
+07DA001,1,1990/06/12,1880,
+07DA001,1,1990/06/13,1930,
+07DA001,1,1990/06/14,1940,
+07DA001,1,1990/06/15,2120,
+07DA001,1,1990/06/16,2840,
+07DA001,1,1990/06/17,3250,
+07DA001,1,1990/06/18,3140,
+07DA001,1,1990/06/19,2790,
+07DA001,1,1990/06/20,2540,
+07DA001,1,1990/06/21,2370,
+07DA001,1,1990/06/22,2210,
+07DA001,1,1990/06/23,2050,
+07DA001,1,1990/06/24,1910,
+07DA001,1,1990/06/25,1780,
+07DA001,1,1990/06/26,1680,
+07DA001,1,1990/06/27,1640,
+07DA001,1,1990/06/28,1680,
+07DA001,1,1990/06/29,1720,
+07DA001,1,1990/06/30,1660,
+07DA001,1,1990/07/01,1580,
+07DA001,1,1990/07/02,1490,
+07DA001,1,1990/07/03,1420,
+07DA001,1,1990/07/04,1380,
+07DA001,1,1990/07/05,1350,
+07DA001,1,1990/07/06,1470,
+07DA001,1,1990/07/07,2030,
+07DA001,1,1990/07/08,2380,
+07DA001,1,1990/07/09,2370,
+07DA001,1,1990/07/10,2580,
+07DA001,1,1990/07/11,3020,
+07DA001,1,1990/07/12,2820,
+07DA001,1,1990/07/13,2470,
+07DA001,1,1990/07/14,2160,
+07DA001,1,1990/07/15,1920,
+07DA001,1,1990/07/16,1760,
+07DA001,1,1990/07/17,1670,
+07DA001,1,1990/07/18,1630,
+07DA001,1,1990/07/19,1560,
+07DA001,1,1990/07/20,1440,
+07DA001,1,1990/07/21,1350,
+07DA001,1,1990/07/22,1300,
+07DA001,1,1990/07/23,1230,
+07DA001,1,1990/07/24,1160,
+07DA001,1,1990/07/25,1090,
+07DA001,1,1990/07/26,1020,
+07DA001,1,1990/07/27,977,
+07DA001,1,1990/07/28,940,
+07DA001,1,1990/07/29,940,
+07DA001,1,1990/07/30,969,
+07DA001,1,1990/07/31,961,
+07DA001,1,1990/08/01,953,
+07DA001,1,1990/08/02,960,
+07DA001,1,1990/08/03,938,
+07DA001,1,1990/08/04,910,
+07DA001,1,1990/08/05,887,
+07DA001,1,1990/08/06,893,
+07DA001,1,1990/08/07,877,
+07DA001,1,1990/08/08,844,
+07DA001,1,1990/08/09,799,
+07DA001,1,1990/08/10,762,
+07DA001,1,1990/08/11,748,
+07DA001,1,1990/08/12,749,
+07DA001,1,1990/08/13,771,
+07DA001,1,1990/08/14,762,
+07DA001,1,1990/08/15,742,
+07DA001,1,1990/08/16,733,
+07DA001,1,1990/08/17,731,
+07DA001,1,1990/08/18,740,
+07DA001,1,1990/08/19,746,
+07DA001,1,1990/08/20,765,
+07DA001,1,1990/08/21,787,
+07DA001,1,1990/08/22,797,
+07DA001,1,1990/08/23,792,
+07DA001,1,1990/08/24,769,
+07DA001,1,1990/08/25,750,
+07DA001,1,1990/08/26,737,
+07DA001,1,1990/08/27,724,
+07DA001,1,1990/08/28,733,
+07DA001,1,1990/08/29,765,
+07DA001,1,1990/08/30,772,
+07DA001,1,1990/08/31,744,
+07DA001,1,1990/09/01,720,
+07DA001,1,1990/09/02,705,
+07DA001,1,1990/09/03,688,
+07DA001,1,1990/09/04,675,
+07DA001,1,1990/09/05,680,
+07DA001,1,1990/09/06,747,
+07DA001,1,1990/09/07,758,
+07DA001,1,1990/09/08,711,
+07DA001,1,1990/09/09,668,
+07DA001,1,1990/09/10,639,
+07DA001,1,1990/09/11,615,
+07DA001,1,1990/09/12,602,
+07DA001,1,1990/09/13,583,
+07DA001,1,1990/09/14,570,
+07DA001,1,1990/09/15,565,
+07DA001,1,1990/09/16,563,
+07DA001,1,1990/09/17,562,
+07DA001,1,1990/09/18,556,
+07DA001,1,1990/09/19,554,
+07DA001,1,1990/09/20,548,
+07DA001,1,1990/09/21,544,
+07DA001,1,1990/09/22,542,
+07DA001,1,1990/09/23,625,
+07DA001,1,1990/09/24,706,
+07DA001,1,1990/09/25,667,
+07DA001,1,1990/09/26,624,
+07DA001,1,1990/09/27,597,
+07DA001,1,1990/09/28,573,
+07DA001,1,1990/09/29,560,
+07DA001,1,1990/09/30,546,
+07DA001,1,1990/10/01,535,
+07DA001,1,1990/10/02,542,
+07DA001,1,1990/10/03,540,
+07DA001,1,1990/10/04,538,
+07DA001,1,1990/10/05,520,
+07DA001,1,1990/10/06,500,
+07DA001,1,1990/10/07,496,
+07DA001,1,1990/10/08,485,
+07DA001,1,1990/10/09,476,
+07DA001,1,1990/10/10,479,
+07DA001,1,1990/10/11,481,
+07DA001,1,1990/10/12,481,
+07DA001,1,1990/10/13,481,
+07DA001,1,1990/10/14,481,
+07DA001,1,1990/10/15,478,
+07DA001,1,1990/10/16,472,
+07DA001,1,1990/10/17,468,
+07DA001,1,1990/10/18,475,
+07DA001,1,1990/10/19,478,
+07DA001,1,1990/10/20,472,
+07DA001,1,1990/10/21,456,
+07DA001,1,1990/10/22,449,
+07DA001,1,1990/10/23,442,
+07DA001,1,1990/10/24,432,
+07DA001,1,1990/10/25,427,
+07DA001,1,1990/10/26,424,
+07DA001,1,1990/10/27,412,
+07DA001,1,1990/10/28,406,B
+07DA001,1,1990/10/29,402,B
+07DA001,1,1990/10/30,407,B
+07DA001,1,1990/10/31,423,B
+07DA001,1,1990/11/01,409,B
+07DA001,1,1990/11/02,394,B
+07DA001,1,1990/11/03,415,B
+07DA001,1,1990/11/04,434,B
+07DA001,1,1990/11/05,420,B
+07DA001,1,1990/11/06,405,B
+07DA001,1,1990/11/07,350,B
+07DA001,1,1990/11/08,305,B
+07DA001,1,1990/11/09,280,B
+07DA001,1,1990/11/10,241,B
+07DA001,1,1990/11/11,230,B
+07DA001,1,1990/11/12,220,B
+07DA001,1,1990/11/13,215,B
+07DA001,1,1990/11/14,225,B
+07DA001,1,1990/11/15,230,B
+07DA001,1,1990/11/16,225,B
+07DA001,1,1990/11/17,220,B
+07DA001,1,1990/11/18,210,B
+07DA001,1,1990/11/19,220,B
+07DA001,1,1990/11/20,230,B
+07DA001,1,1990/11/21,240,B
+07DA001,1,1990/11/22,253,B
+07DA001,1,1990/11/23,253,B
+07DA001,1,1990/11/24,245,B
+07DA001,1,1990/11/25,266,B
+07DA001,1,1990/11/26,312,B
+07DA001,1,1990/11/27,291,B
+07DA001,1,1990/11/28,271,B
+07DA001,1,1990/11/29,265,B
+07DA001,1,1990/11/30,250,B
+07DA001,1,1990/12/01,227,B
+07DA001,1,1990/12/02,210,B
+07DA001,1,1990/12/03,202,B
+07DA001,1,1990/12/04,197,B
+07DA001,1,1990/12/05,192,B
+07DA001,1,1990/12/06,181,B
+07DA001,1,1990/12/07,174,B
+07DA001,1,1990/12/08,175,B
+07DA001,1,1990/12/09,179,B
+07DA001,1,1990/12/10,184,B
+07DA001,1,1990/12/11,205,B
+07DA001,1,1990/12/12,229,B
+07DA001,1,1990/12/13,244,B
+07DA001,1,1990/12/14,255,B
+07DA001,1,1990/12/15,266,B
+07DA001,1,1990/12/16,268,B
+07DA001,1,1990/12/17,264,B
+07DA001,1,1990/12/18,259,B
+07DA001,1,1990/12/19,248,B
+07DA001,1,1990/12/20,241,B
+07DA001,1,1990/12/21,218,B
+07DA001,1,1990/12/22,206,B
+07DA001,1,1990/12/23,193,B
+07DA001,1,1990/12/24,183,B
+07DA001,1,1990/12/25,176,B
+07DA001,1,1990/12/26,168,B
+07DA001,1,1990/12/27,163,B
+07DA001,1,1990/12/28,160,B
+07DA001,1,1990/12/29,162,B
+07DA001,1,1990/12/30,160,B
+07DA001,1,1990/12/31,155,B
+07DA001,1,1991/01/01,152,B
+07DA001,1,1991/01/02,148,B
+07DA001,1,1991/01/03,147,B
+07DA001,1,1991/01/04,147,B
+07DA001,1,1991/01/05,147,B
+07DA001,1,1991/01/06,149,B
+07DA001,1,1991/01/07,151,B
+07DA001,1,1991/01/08,152,B
+07DA001,1,1991/01/09,152,B
+07DA001,1,1991/01/10,151,B
+07DA001,1,1991/01/11,149,B
+07DA001,1,1991/01/12,148,B
+07DA001,1,1991/01/13,148,B
+07DA001,1,1991/01/14,148,B
+07DA001,1,1991/01/15,149,B
+07DA001,1,1991/01/16,148,B
+07DA001,1,1991/01/17,149,B
+07DA001,1,1991/01/18,150,B
+07DA001,1,1991/01/19,151,B
+07DA001,1,1991/01/20,150,B
+07DA001,1,1991/01/21,151,B
+07DA001,1,1991/01/22,152,B
+07DA001,1,1991/01/23,153,B
+07DA001,1,1991/01/24,154,B
+07DA001,1,1991/01/25,156,B
+07DA001,1,1991/01/26,152,B
+07DA001,1,1991/01/27,151,B
+07DA001,1,1991/01/28,150,B
+07DA001,1,1991/01/29,149,B
+07DA001,1,1991/01/30,147,B
+07DA001,1,1991/01/31,146,B
+07DA001,1,1991/02/01,148,B
+07DA001,1,1991/02/02,149,B
+07DA001,1,1991/02/03,151,B
+07DA001,1,1991/02/04,152,B
+07DA001,1,1991/02/05,151,B
+07DA001,1,1991/02/06,152,B
+07DA001,1,1991/02/07,152,B
+07DA001,1,1991/02/08,152,B
+07DA001,1,1991/02/09,152,B
+07DA001,1,1991/02/10,151,B
+07DA001,1,1991/02/11,151,B
+07DA001,1,1991/02/12,151,B
+07DA001,1,1991/02/13,155,B
+07DA001,1,1991/02/14,158,B
+07DA001,1,1991/02/15,160,B
+07DA001,1,1991/02/16,159,B
+07DA001,1,1991/02/17,159,B
+07DA001,1,1991/02/18,162,B
+07DA001,1,1991/02/19,162,B
+07DA001,1,1991/02/20,161,B
+07DA001,1,1991/02/21,160,B
+07DA001,1,1991/02/22,160,B
+07DA001,1,1991/02/23,159,B
+07DA001,1,1991/02/24,158,B
+07DA001,1,1991/02/25,158,B
+07DA001,1,1991/02/26,159,B
+07DA001,1,1991/02/27,162,B
+07DA001,1,1991/02/28,162,B
+07DA001,1,1991/03/01,158,B
+07DA001,1,1991/03/02,156,B
+07DA001,1,1991/03/03,155,B
+07DA001,1,1991/03/04,155,B
+07DA001,1,1991/03/05,154,B
+07DA001,1,1991/03/06,152,B
+07DA001,1,1991/03/07,150,B
+07DA001,1,1991/03/08,149,B
+07DA001,1,1991/03/09,150,B
+07DA001,1,1991/03/10,152,B
+07DA001,1,1991/03/11,149,B
+07DA001,1,1991/03/12,145,B
+07DA001,1,1991/03/13,140,B
+07DA001,1,1991/03/14,138,B
+07DA001,1,1991/03/15,136,B
+07DA001,1,1991/03/16,136,B
+07DA001,1,1991/03/17,139,B
+07DA001,1,1991/03/18,141,B
+07DA001,1,1991/03/19,144,B
+07DA001,1,1991/03/20,146,B
+07DA001,1,1991/03/21,147,B
+07DA001,1,1991/03/22,149,B
+07DA001,1,1991/03/23,153,B
+07DA001,1,1991/03/24,153,B
+07DA001,1,1991/03/25,153,B
+07DA001,1,1991/03/26,153,B
+07DA001,1,1991/03/27,154,B
+07DA001,1,1991/03/28,155,B
+07DA001,1,1991/03/29,157,B
+07DA001,1,1991/03/30,159,B
+07DA001,1,1991/03/31,162,B
+07DA001,1,1991/04/01,168,B
+07DA001,1,1991/04/02,174,B
+07DA001,1,1991/04/03,178,B
+07DA001,1,1991/04/04,183,B
+07DA001,1,1991/04/05,189,B
+07DA001,1,1991/04/06,196,B
+07DA001,1,1991/04/07,203,B
+07DA001,1,1991/04/08,210,B
+07DA001,1,1991/04/09,226,B
+07DA001,1,1991/04/10,249,B
+07DA001,1,1991/04/11,252,B
+07DA001,1,1991/04/12,253,B
+07DA001,1,1991/04/13,260,B
+07DA001,1,1991/04/14,280,B
+07DA001,1,1991/04/15,310,B
+07DA001,1,1991/04/16,350,B
+07DA001,1,1991/04/17,400,B
+07DA001,1,1991/04/18,482,B
+07DA001,1,1991/04/19,650,B
+07DA001,1,1991/04/20,813,
+07DA001,1,1991/04/21,842,
+07DA001,1,1991/04/22,795,
+07DA001,1,1991/04/23,803,
+07DA001,1,1991/04/24,798,
+07DA001,1,1991/04/25,775,
+07DA001,1,1991/04/26,808,
+07DA001,1,1991/04/27,822,
+07DA001,1,1991/04/28,827,
+07DA001,1,1991/04/29,900,
+07DA001,1,1991/04/30,1080,
+07DA001,1,1991/05/01,1200,
+07DA001,1,1991/05/02,1240,
+07DA001,1,1991/05/03,1200,
+07DA001,1,1991/05/04,1130,
+07DA001,1,1991/05/05,1060,
+07DA001,1,1991/05/06,1000,
+07DA001,1,1991/05/07,937,
+07DA001,1,1991/05/08,885,
+07DA001,1,1991/05/09,844,
+07DA001,1,1991/05/10,816,
+07DA001,1,1991/05/11,809,
+07DA001,1,1991/05/12,799,
+07DA001,1,1991/05/13,819,
+07DA001,1,1991/05/14,1180,
+07DA001,1,1991/05/15,1400,
+07DA001,1,1991/05/16,1350,
+07DA001,1,1991/05/17,1760,
+07DA001,1,1991/05/18,2110,
+07DA001,1,1991/05/19,1950,
+07DA001,1,1991/05/20,1730,
+07DA001,1,1991/05/21,1560,
+07DA001,1,1991/05/22,1420,
+07DA001,1,1991/05/23,1350,
+07DA001,1,1991/05/24,1400,
+07DA001,1,1991/05/25,1550,
+07DA001,1,1991/05/26,1690,
+07DA001,1,1991/05/27,1650,
+07DA001,1,1991/05/28,1510,
+07DA001,1,1991/05/29,1400,
+07DA001,1,1991/05/30,1320,
+07DA001,1,1991/05/31,1260,
+07DA001,1,1991/06/01,1190,
+07DA001,1,1991/06/02,1140,
+07DA001,1,1991/06/03,1130,
+07DA001,1,1991/06/04,1170,
+07DA001,1,1991/06/05,1220,
+07DA001,1,1991/06/06,1260,
+07DA001,1,1991/06/07,1300,
+07DA001,1,1991/06/08,1330,
+07DA001,1,1991/06/09,1330,
+07DA001,1,1991/06/10,1260,
+07DA001,1,1991/06/11,1210,
+07DA001,1,1991/06/12,1300,
+07DA001,1,1991/06/13,1600,
+07DA001,1,1991/06/14,1880,
+07DA001,1,1991/06/15,1970,
+07DA001,1,1991/06/16,2150,
+07DA001,1,1991/06/17,2250,
+07DA001,1,1991/06/18,2140,
+07DA001,1,1991/06/19,1990,
+07DA001,1,1991/06/20,1860,
+07DA001,1,1991/06/21,1740,
+07DA001,1,1991/06/22,1680,
+07DA001,1,1991/06/23,1730,
+07DA001,1,1991/06/24,1770,
+07DA001,1,1991/06/25,1750,
+07DA001,1,1991/06/26,1710,
+07DA001,1,1991/06/27,1660,
+07DA001,1,1991/06/28,1620,
+07DA001,1,1991/06/29,1640,
+07DA001,1,1991/06/30,1670,
+07DA001,1,1991/07/01,1680,
+07DA001,1,1991/07/02,1700,
+07DA001,1,1991/07/03,1760,
+07DA001,1,1991/07/04,1830,
+07DA001,1,1991/07/05,1890,
+07DA001,1,1991/07/06,1870,
+07DA001,1,1991/07/07,1790,
+07DA001,1,1991/07/08,1770,
+07DA001,1,1991/07/09,1800,
+07DA001,1,1991/07/10,1900,
+07DA001,1,1991/07/11,2240,
+07DA001,1,1991/07/12,2100,
+07DA001,1,1991/07/13,2050,
+07DA001,1,1991/07/14,2000,
+07DA001,1,1991/07/15,1920,
+07DA001,1,1991/07/16,1840,
+07DA001,1,1991/07/17,1790,
+07DA001,1,1991/07/18,1780,
+07DA001,1,1991/07/19,1800,
+07DA001,1,1991/07/20,1710,
+07DA001,1,1991/07/21,1560,
+07DA001,1,1991/07/22,1460,
+07DA001,1,1991/07/23,1380,
+07DA001,1,1991/07/24,1320,
+07DA001,1,1991/07/25,1240,
+07DA001,1,1991/07/26,1180,
+07DA001,1,1991/07/27,1150,
+07DA001,1,1991/07/28,1110,
+07DA001,1,1991/07/29,1090,
+07DA001,1,1991/07/30,1120,
+07DA001,1,1991/07/31,1170,
+07DA001,1,1991/08/01,1210,
+07DA001,1,1991/08/02,1210,
+07DA001,1,1991/08/03,1170,
+07DA001,1,1991/08/04,1110,
+07DA001,1,1991/08/05,1040,
+07DA001,1,1991/08/06,984,
+07DA001,1,1991/08/07,936,
+07DA001,1,1991/08/08,913,
+07DA001,1,1991/08/09,900,
+07DA001,1,1991/08/10,917,
+07DA001,1,1991/08/11,940,
+07DA001,1,1991/08/12,969,
+07DA001,1,1991/08/13,988,
+07DA001,1,1991/08/14,1010,
+07DA001,1,1991/08/15,1030,
+07DA001,1,1991/08/16,1190,
+07DA001,1,1991/08/17,1260,
+07DA001,1,1991/08/18,1440,
+07DA001,1,1991/08/19,1740,
+07DA001,1,1991/08/20,1650,
+07DA001,1,1991/08/21,1490,
+07DA001,1,1991/08/22,1360,
+07DA001,1,1991/08/23,1280,
+07DA001,1,1991/08/24,1220,
+07DA001,1,1991/08/25,1170,
+07DA001,1,1991/08/26,1110,
+07DA001,1,1991/08/27,1050,
+07DA001,1,1991/08/28,997,
+07DA001,1,1991/08/29,948,
+07DA001,1,1991/08/30,913,
+07DA001,1,1991/08/31,878,
+07DA001,1,1991/09/01,846,
+07DA001,1,1991/09/02,822,
+07DA001,1,1991/09/03,790,
+07DA001,1,1991/09/04,777,
+07DA001,1,1991/09/05,759,
+07DA001,1,1991/09/06,776,
+07DA001,1,1991/09/07,898,
+07DA001,1,1991/09/08,912,
+07DA001,1,1991/09/09,853,
+07DA001,1,1991/09/10,791,
+07DA001,1,1991/09/11,750,
+07DA001,1,1991/09/12,728,
+07DA001,1,1991/09/13,722,
+07DA001,1,1991/09/14,737,
+07DA001,1,1991/09/15,734,
+07DA001,1,1991/09/16,714,
+07DA001,1,1991/09/17,682,
+07DA001,1,1991/09/18,653,
+07DA001,1,1991/09/19,629,
+07DA001,1,1991/09/20,625,
+07DA001,1,1991/09/21,619,
+07DA001,1,1991/09/22,600,
+07DA001,1,1991/09/23,584,
+07DA001,1,1991/09/24,587,
+07DA001,1,1991/09/25,574,
+07DA001,1,1991/09/26,564,
+07DA001,1,1991/09/27,555,
+07DA001,1,1991/09/28,558,
+07DA001,1,1991/09/29,545,
+07DA001,1,1991/09/30,521,
+07DA001,1,1991/10/01,506,
+07DA001,1,1991/10/02,492,
+07DA001,1,1991/10/03,494,
+07DA001,1,1991/10/04,492,
+07DA001,1,1991/10/05,485,
+07DA001,1,1991/10/06,485,
+07DA001,1,1991/10/07,483,
+07DA001,1,1991/10/08,473,
+07DA001,1,1991/10/09,458,
+07DA001,1,1991/10/10,451,
+07DA001,1,1991/10/11,444,
+07DA001,1,1991/10/12,444,
+07DA001,1,1991/10/13,436,
+07DA001,1,1991/10/14,424,
+07DA001,1,1991/10/15,421,
+07DA001,1,1991/10/16,418,
+07DA001,1,1991/10/17,415,
+07DA001,1,1991/10/18,397,
+07DA001,1,1991/10/19,378,
+07DA001,1,1991/10/20,382,
+07DA001,1,1991/10/21,391,
+07DA001,1,1991/10/22,385,
+07DA001,1,1991/10/23,372,B
+07DA001,1,1991/10/24,362,B
+07DA001,1,1991/10/25,354,B
+07DA001,1,1991/10/26,350,B
+07DA001,1,1991/10/27,344,B
+07DA001,1,1991/10/28,332,B
+07DA001,1,1991/10/29,313,B
+07DA001,1,1991/10/30,300,B
+07DA001,1,1991/10/31,282,B
+07DA001,1,1991/11/01,251,B
+07DA001,1,1991/11/02,223,B
+07DA001,1,1991/11/03,228,B
+07DA001,1,1991/11/04,241,B
+07DA001,1,1991/11/05,255,B
+07DA001,1,1991/11/06,268,B
+07DA001,1,1991/11/07,267,B
+07DA001,1,1991/11/08,259,B
+07DA001,1,1991/11/09,252,B
+07DA001,1,1991/11/10,250,B
+07DA001,1,1991/11/11,257,B
+07DA001,1,1991/11/12,264,B
+07DA001,1,1991/11/13,262,B
+07DA001,1,1991/11/14,265,B
+07DA001,1,1991/11/15,268,B
+07DA001,1,1991/11/16,263,B
+07DA001,1,1991/11/17,258,B
+07DA001,1,1991/11/18,252,B
+07DA001,1,1991/11/19,245,B
+07DA001,1,1991/11/20,236,B
+07DA001,1,1991/11/21,228,B
+07DA001,1,1991/11/22,222,B
+07DA001,1,1991/11/23,218,B
+07DA001,1,1991/11/24,213,B
+07DA001,1,1991/11/25,214,B
+07DA001,1,1991/11/26,208,B
+07DA001,1,1991/11/27,200,B
+07DA001,1,1991/11/28,196,B
+07DA001,1,1991/11/29,192,B
+07DA001,1,1991/11/30,186,B
+07DA001,1,1991/12/01,180,B
+07DA001,1,1991/12/02,174,B
+07DA001,1,1991/12/03,168,B
+07DA001,1,1991/12/04,165,B
+07DA001,1,1991/12/05,155,B
+07DA001,1,1991/12/06,156,B
+07DA001,1,1991/12/07,158,B
+07DA001,1,1991/12/08,152,B
+07DA001,1,1991/12/09,149,B
+07DA001,1,1991/12/10,150,B
+07DA001,1,1991/12/11,145,B
+07DA001,1,1991/12/12,146,B
+07DA001,1,1991/12/13,148,B
+07DA001,1,1991/12/14,142,B
+07DA001,1,1991/12/15,138,B
+07DA001,1,1991/12/16,136,B
+07DA001,1,1991/12/17,136,B
+07DA001,1,1991/12/18,150,B
+07DA001,1,1991/12/19,177,B
+07DA001,1,1991/12/20,179,B
+07DA001,1,1991/12/21,176,B
+07DA001,1,1991/12/22,173,B
+07DA001,1,1991/12/23,170,B
+07DA001,1,1991/12/24,164,B
+07DA001,1,1991/12/25,159,B
+07DA001,1,1991/12/26,157,B
+07DA001,1,1991/12/27,158,B
+07DA001,1,1991/12/28,159,B
+07DA001,1,1991/12/29,163,B
+07DA001,1,1991/12/30,161,B
+07DA001,1,1991/12/31,157,B
+07DA001,1,1992/01/01,157,B
+07DA001,1,1992/01/02,160,B
+07DA001,1,1992/01/03,159,B
+07DA001,1,1992/01/04,159,B
+07DA001,1,1992/01/05,157,B
+07DA001,1,1992/01/06,155,B
+07DA001,1,1992/01/07,156,B
+07DA001,1,1992/01/08,155,B
+07DA001,1,1992/01/09,155,B
+07DA001,1,1992/01/10,155,B
+07DA001,1,1992/01/11,153,B
+07DA001,1,1992/01/12,152,B
+07DA001,1,1992/01/13,152,B
+07DA001,1,1992/01/14,150,B
+07DA001,1,1992/01/15,149,B
+07DA001,1,1992/01/16,148,B
+07DA001,1,1992/01/17,146,B
+07DA001,1,1992/01/18,144,B
+07DA001,1,1992/01/19,147,B
+07DA001,1,1992/01/20,147,B
+07DA001,1,1992/01/21,147,B
+07DA001,1,1992/01/22,142,B
+07DA001,1,1992/01/23,141,B
+07DA001,1,1992/01/24,140,B
+07DA001,1,1992/01/25,141,B
+07DA001,1,1992/01/26,143,B
+07DA001,1,1992/01/27,146,B
+07DA001,1,1992/01/28,150,B
+07DA001,1,1992/01/29,154,B
+07DA001,1,1992/01/30,155,B
+07DA001,1,1992/01/31,157,B
+07DA001,1,1992/02/01,158,B
+07DA001,1,1992/02/02,156,B
+07DA001,1,1992/02/03,153,B
+07DA001,1,1992/02/04,152,B
+07DA001,1,1992/02/05,152,B
+07DA001,1,1992/02/06,151,B
+07DA001,1,1992/02/07,150,B
+07DA001,1,1992/02/08,150,B
+07DA001,1,1992/02/09,149,B
+07DA001,1,1992/02/10,148,B
+07DA001,1,1992/02/11,147,B
+07DA001,1,1992/02/12,146,B
+07DA001,1,1992/02/13,145,B
+07DA001,1,1992/02/14,143,B
+07DA001,1,1992/02/15,142,B
+07DA001,1,1992/02/16,141,B
+07DA001,1,1992/02/17,140,B
+07DA001,1,1992/02/18,139,B
+07DA001,1,1992/02/19,139,B
+07DA001,1,1992/02/20,138,B
+07DA001,1,1992/02/21,137,B
+07DA001,1,1992/02/22,137,B
+07DA001,1,1992/02/23,136,B
+07DA001,1,1992/02/24,136,B
+07DA001,1,1992/02/25,135,B
+07DA001,1,1992/02/26,146,B
+07DA001,1,1992/02/27,155,B
+07DA001,1,1992/02/28,159,B
+07DA001,1,1992/02/29,163,B
+07DA001,1,1992/03/01,165,B
+07DA001,1,1992/03/02,165,B
+07DA001,1,1992/03/03,165,B
+07DA001,1,1992/03/04,164,B
+07DA001,1,1992/03/05,169,B
+07DA001,1,1992/03/06,176,B
+07DA001,1,1992/03/07,193,B
+07DA001,1,1992/03/08,214,B
+07DA001,1,1992/03/09,230,B
+07DA001,1,1992/03/10,238,B
+07DA001,1,1992/03/11,244,B
+07DA001,1,1992/03/12,252,B
+07DA001,1,1992/03/13,264,B
+07DA001,1,1992/03/14,276,B
+07DA001,1,1992/03/15,279,B
+07DA001,1,1992/03/16,276,B
+07DA001,1,1992/03/17,273,B
+07DA001,1,1992/03/18,272,B
+07DA001,1,1992/03/19,272,B
+07DA001,1,1992/03/20,272,B
+07DA001,1,1992/03/21,279,B
+07DA001,1,1992/03/22,292,B
+07DA001,1,1992/03/23,310,B
+07DA001,1,1992/03/24,333,B
+07DA001,1,1992/03/25,357,B
+07DA001,1,1992/03/26,365,B
+07DA001,1,1992/03/27,366,B
+07DA001,1,1992/03/28,371,B
+07DA001,1,1992/03/29,380,B
+07DA001,1,1992/03/30,386,B
+07DA001,1,1992/03/31,390,B
+07DA001,1,1992/04/01,399,B
+07DA001,1,1992/04/02,419,B
+07DA001,1,1992/04/03,425,B
+07DA001,1,1992/04/04,420,B
+07DA001,1,1992/04/05,410,B
+07DA001,1,1992/04/06,405,B
+07DA001,1,1992/04/07,400,B
+07DA001,1,1992/04/08,390,B
+07DA001,1,1992/04/09,371,B
+07DA001,1,1992/04/10,370,B
+07DA001,1,1992/04/11,364,B
+07DA001,1,1992/04/12,360,B
+07DA001,1,1992/04/13,362,B
+07DA001,1,1992/04/14,370,B
+07DA001,1,1992/04/15,380,B
+07DA001,1,1992/04/16,390,B
+07DA001,1,1992/04/17,400,B
+07DA001,1,1992/04/18,410,B
+07DA001,1,1992/04/19,415,B
+07DA001,1,1992/04/20,420,B
+07DA001,1,1992/04/21,560,B
+07DA001,1,1992/04/22,726,
+07DA001,1,1992/04/23,762,
+07DA001,1,1992/04/24,788,
+07DA001,1,1992/04/25,799,
+07DA001,1,1992/04/26,798,
+07DA001,1,1992/04/27,796,
+07DA001,1,1992/04/28,815,
+07DA001,1,1992/04/29,837,
+07DA001,1,1992/04/30,865,
+07DA001,1,1992/05/01,873,
+07DA001,1,1992/05/02,876,
+07DA001,1,1992/05/03,876,
+07DA001,1,1992/05/04,885,
+07DA001,1,1992/05/05,904,
+07DA001,1,1992/05/06,913,
+07DA001,1,1992/05/07,922,
+07DA001,1,1992/05/08,911,
+07DA001,1,1992/05/09,888,
+07DA001,1,1992/05/10,857,
+07DA001,1,1992/05/11,831,
+07DA001,1,1992/05/12,830,
+07DA001,1,1992/05/13,912,
+07DA001,1,1992/05/14,997,
+07DA001,1,1992/05/15,1050,
+07DA001,1,1992/05/16,1020,
+07DA001,1,1992/05/17,986,
+07DA001,1,1992/05/18,956,
+07DA001,1,1992/05/19,935,
+07DA001,1,1992/05/20,913,
+07DA001,1,1992/05/21,896,
+07DA001,1,1992/05/22,879,
+07DA001,1,1992/05/23,857,
+07DA001,1,1992/05/24,834,
+07DA001,1,1992/05/25,840,
+07DA001,1,1992/05/26,858,
+07DA001,1,1992/05/27,859,
+07DA001,1,1992/05/28,839,
+07DA001,1,1992/05/29,811,
+07DA001,1,1992/05/30,792,
+07DA001,1,1992/05/31,787,
+07DA001,1,1992/06/01,852,
+07DA001,1,1992/06/02,1050,
+07DA001,1,1992/06/03,1090,
+07DA001,1,1992/06/04,1140,
+07DA001,1,1992/06/05,1180,
+07DA001,1,1992/06/06,1190,
+07DA001,1,1992/06/07,1320,
+07DA001,1,1992/06/08,1430,
+07DA001,1,1992/06/09,1340,
+07DA001,1,1992/06/10,1230,
+07DA001,1,1992/06/11,1130,
+07DA001,1,1992/06/12,1070,
+07DA001,1,1992/06/13,1050,
+07DA001,1,1992/06/14,1070,
+07DA001,1,1992/06/15,1110,
+07DA001,1,1992/06/16,1130,
+07DA001,1,1992/06/17,1120,
+07DA001,1,1992/06/18,1150,
+07DA001,1,1992/06/19,1180,
+07DA001,1,1992/06/20,1160,
+07DA001,1,1992/06/21,1130,
+07DA001,1,1992/06/22,1130,
+07DA001,1,1992/06/23,1120,
+07DA001,1,1992/06/24,1070,
+07DA001,1,1992/06/25,1010,
+07DA001,1,1992/06/26,992,
+07DA001,1,1992/06/27,1000,
+07DA001,1,1992/06/28,993,
+07DA001,1,1992/06/29,1000,
+07DA001,1,1992/06/30,986,
+07DA001,1,1992/07/01,948,
+07DA001,1,1992/07/02,920,
+07DA001,1,1992/07/03,926,
+07DA001,1,1992/07/04,922,
+07DA001,1,1992/07/05,894,
+07DA001,1,1992/07/06,856,
+07DA001,1,1992/07/07,797,
+07DA001,1,1992/07/08,745,
+07DA001,1,1992/07/09,706,
+07DA001,1,1992/07/10,681,
+07DA001,1,1992/07/11,673,
+07DA001,1,1992/07/12,674,
+07DA001,1,1992/07/13,706,
+07DA001,1,1992/07/14,757,
+07DA001,1,1992/07/15,819,
+07DA001,1,1992/07/16,803,
+07DA001,1,1992/07/17,758,
+07DA001,1,1992/07/18,719,
+07DA001,1,1992/07/19,692,
+07DA001,1,1992/07/20,685,
+07DA001,1,1992/07/21,674,
+07DA001,1,1992/07/22,640,
+07DA001,1,1992/07/23,613,
+07DA001,1,1992/07/24,607,
+07DA001,1,1992/07/25,613,
+07DA001,1,1992/07/26,611,
+07DA001,1,1992/07/27,623,
+07DA001,1,1992/07/28,627,
+07DA001,1,1992/07/29,654,
+07DA001,1,1992/07/30,666,
+07DA001,1,1992/07/31,643,
+07DA001,1,1992/08/01,626,
+07DA001,1,1992/08/02,624,
+07DA001,1,1992/08/03,604,
+07DA001,1,1992/08/04,587,
+07DA001,1,1992/08/05,560,
+07DA001,1,1992/08/06,544,
+07DA001,1,1992/08/07,552,
+07DA001,1,1992/08/08,574,
+07DA001,1,1992/08/09,607,A
+07DA001,1,1992/08/10,585,
+07DA001,1,1992/08/11,585,
+07DA001,1,1992/08/12,604,
+07DA001,1,1992/08/13,600,
+07DA001,1,1992/08/14,591,
+07DA001,1,1992/08/15,564,
+07DA001,1,1992/08/16,523,
+07DA001,1,1992/08/17,494,
+07DA001,1,1992/08/18,479,
+07DA001,1,1992/08/19,486,
+07DA001,1,1992/08/20,500,
+07DA001,1,1992/08/21,530,
+07DA001,1,1992/08/22,570,
+07DA001,1,1992/08/23,579,
+07DA001,1,1992/08/24,569,
+07DA001,1,1992/08/25,571,
+07DA001,1,1992/08/26,585,
+07DA001,1,1992/08/27,568,
+07DA001,1,1992/08/28,544,
+07DA001,1,1992/08/29,519,
+07DA001,1,1992/08/30,487,
+07DA001,1,1992/08/31,471,
+07DA001,1,1992/09/01,468,
+07DA001,1,1992/09/02,462,
+07DA001,1,1992/09/03,453,
+07DA001,1,1992/09/04,477,
+07DA001,1,1992/09/05,488,
+07DA001,1,1992/09/06,469,
+07DA001,1,1992/09/07,450,
+07DA001,1,1992/09/08,448,
+07DA001,1,1992/09/09,462,
+07DA001,1,1992/09/10,494,
+07DA001,1,1992/09/11,518,
+07DA001,1,1992/09/12,549,
+07DA001,1,1992/09/13,566,
+07DA001,1,1992/09/14,567,
+07DA001,1,1992/09/15,560,
+07DA001,1,1992/09/16,557,
+07DA001,1,1992/09/17,545,
+07DA001,1,1992/09/18,542,
+07DA001,1,1992/09/19,555,
+07DA001,1,1992/09/20,559,
+07DA001,1,1992/09/21,541,
+07DA001,1,1992/09/22,520,
+07DA001,1,1992/09/23,506,
+07DA001,1,1992/09/24,489,
+07DA001,1,1992/09/25,501,
+07DA001,1,1992/09/26,495,
+07DA001,1,1992/09/27,486,
+07DA001,1,1992/09/28,493,
+07DA001,1,1992/09/29,526,
+07DA001,1,1992/09/30,525,
+07DA001,1,1992/10/01,529,
+07DA001,1,1992/10/02,552,
+07DA001,1,1992/10/03,541,
+07DA001,1,1992/10/04,514,
+07DA001,1,1992/10/05,489,
+07DA001,1,1992/10/06,463,
+07DA001,1,1992/10/07,439,
+07DA001,1,1992/10/08,424,
+07DA001,1,1992/10/09,418,
+07DA001,1,1992/10/10,415,
+07DA001,1,1992/10/11,423,
+07DA001,1,1992/10/12,440,
+07DA001,1,1992/10/13,427,
+07DA001,1,1992/10/14,400,
+07DA001,1,1992/10/15,376,
+07DA001,1,1992/10/16,360,
+07DA001,1,1992/10/17,320,B
+07DA001,1,1992/10/18,310,B
+07DA001,1,1992/10/19,301,B
+07DA001,1,1992/10/20,300,B
+07DA001,1,1992/10/21,298,B
+07DA001,1,1992/10/22,299,B
+07DA001,1,1992/10/23,303,B
+07DA001,1,1992/10/24,306,B
+07DA001,1,1992/10/25,302,B
+07DA001,1,1992/10/26,295,B
+07DA001,1,1992/10/27,300,B
+07DA001,1,1992/10/28,300,B
+07DA001,1,1992/10/29,297,B
+07DA001,1,1992/10/30,317,B
+07DA001,1,1992/10/31,313,
+07DA001,1,1992/11/01,386,
+07DA001,1,1992/11/02,428,
+07DA001,1,1992/11/03,393,
+07DA001,1,1992/11/04,366,
+07DA001,1,1992/11/05,350,
+07DA001,1,1992/11/06,338,
+07DA001,1,1992/11/07,329,
+07DA001,1,1992/11/08,324,
+07DA001,1,1992/11/09,313,
+07DA001,1,1992/11/10,292,B
+07DA001,1,1992/11/11,285,B
+07DA001,1,1992/11/12,262,B
+07DA001,1,1992/11/13,232,B
+07DA001,1,1992/11/14,227,B
+07DA001,1,1992/11/15,222,B
+07DA001,1,1992/11/16,221,B
+07DA001,1,1992/11/17,220,B
+07DA001,1,1992/11/18,219,B
+07DA001,1,1992/11/19,218,B
+07DA001,1,1992/11/20,217,B
+07DA001,1,1992/11/21,213,B
+07DA001,1,1992/11/22,207,B
+07DA001,1,1992/11/23,201,B
+07DA001,1,1992/11/24,199,B
+07DA001,1,1992/11/25,196,B
+07DA001,1,1992/11/26,197,B
+07DA001,1,1992/11/27,199,B
+07DA001,1,1992/11/28,200,B
+07DA001,1,1992/11/29,200,B
+07DA001,1,1992/11/30,196,B
+07DA001,1,1992/12/01,190,B
+07DA001,1,1992/12/02,187,B
+07DA001,1,1992/12/03,180,B
+07DA001,1,1992/12/04,180,B
+07DA001,1,1992/12/05,172,B
+07DA001,1,1992/12/06,170,B
+07DA001,1,1992/12/07,168,B
+07DA001,1,1992/12/08,166,B
+07DA001,1,1992/12/09,163,B
+07DA001,1,1992/12/10,161,B
+07DA001,1,1992/12/11,159,B
+07DA001,1,1992/12/12,157,B
+07DA001,1,1992/12/13,155,B
+07DA001,1,1992/12/14,155,B
+07DA001,1,1992/12/15,153,B
+07DA001,1,1992/12/16,149,B
+07DA001,1,1992/12/17,148,B
+07DA001,1,1992/12/18,147,B
+07DA001,1,1992/12/19,144,B
+07DA001,1,1992/12/20,142,B
+07DA001,1,1992/12/21,140,B
+07DA001,1,1992/12/22,138,B
+07DA001,1,1992/12/23,137,B
+07DA001,1,1992/12/24,136,B
+07DA001,1,1992/12/25,134,B
+07DA001,1,1992/12/26,132,B
+07DA001,1,1992/12/27,130,B
+07DA001,1,1992/12/28,129,B
+07DA001,1,1992/12/29,128,B
+07DA001,1,1992/12/30,127,B
+07DA001,1,1992/12/31,126,B
+07DA001,1,1993/01/01,126,B
+07DA001,1,1993/01/02,125,B
+07DA001,1,1993/01/03,124,B
+07DA001,1,1993/01/04,124,B
+07DA001,1,1993/01/05,125,B
+07DA001,1,1993/01/06,129,B
+07DA001,1,1993/01/07,131,B
+07DA001,1,1993/01/08,131,B
+07DA001,1,1993/01/09,118,B
+07DA001,1,1993/01/10,124,B
+07DA001,1,1993/01/11,124,B
+07DA001,1,1993/01/12,121,B
+07DA001,1,1993/01/13,119,B
+07DA001,1,1993/01/14,119,B
+07DA001,1,1993/01/15,119,B
+07DA001,1,1993/01/16,120,B
+07DA001,1,1993/01/17,122,B
+07DA001,1,1993/01/18,123,B
+07DA001,1,1993/01/19,124,B
+07DA001,1,1993/01/20,124,B
+07DA001,1,1993/01/21,123,B
+07DA001,1,1993/01/22,123,B
+07DA001,1,1993/01/23,123,B
+07DA001,1,1993/01/24,123,B
+07DA001,1,1993/01/25,123,B
+07DA001,1,1993/01/26,122,B
+07DA001,1,1993/01/27,122,B
+07DA001,1,1993/01/28,122,B
+07DA001,1,1993/01/29,122,B
+07DA001,1,1993/01/30,123,B
+07DA001,1,1993/01/31,124,B
+07DA001,1,1993/02/01,125,B
+07DA001,1,1993/02/02,124,B
+07DA001,1,1993/02/03,122,B
+07DA001,1,1993/02/04,121,B
+07DA001,1,1993/02/05,120,B
+07DA001,1,1993/02/06,122,B
+07DA001,1,1993/02/07,122,B
+07DA001,1,1993/02/08,122,B
+07DA001,1,1993/02/09,122,B
+07DA001,1,1993/02/10,121,B
+07DA001,1,1993/02/11,120,B
+07DA001,1,1993/02/12,120,B
+07DA001,1,1993/02/13,120,B
+07DA001,1,1993/02/14,120,B
+07DA001,1,1993/02/15,120,B
+07DA001,1,1993/02/16,121,B
+07DA001,1,1993/02/17,120,B
+07DA001,1,1993/02/18,119,B
+07DA001,1,1993/02/19,119,B
+07DA001,1,1993/02/20,119,B
+07DA001,1,1993/02/21,119,B
+07DA001,1,1993/02/22,119,B
+07DA001,1,1993/02/23,119,B
+07DA001,1,1993/02/24,118,B
+07DA001,1,1993/02/25,118,B
+07DA001,1,1993/02/26,117,B
+07DA001,1,1993/02/27,117,B
+07DA001,1,1993/02/28,116,B
+07DA001,1,1993/03/01,116,B
+07DA001,1,1993/03/02,116,B
+07DA001,1,1993/03/03,117,B
+07DA001,1,1993/03/04,117,B
+07DA001,1,1993/03/05,119,B
+07DA001,1,1993/03/06,121,B
+07DA001,1,1993/03/07,125,B
+07DA001,1,1993/03/08,125,B
+07DA001,1,1993/03/09,128,B
+07DA001,1,1993/03/10,129,B
+07DA001,1,1993/03/11,130,B
+07DA001,1,1993/03/12,131,B
+07DA001,1,1993/03/13,131,B
+07DA001,1,1993/03/14,130,B
+07DA001,1,1993/03/15,130,B
+07DA001,1,1993/03/16,129,B
+07DA001,1,1993/03/17,130,B
+07DA001,1,1993/03/18,131,B
+07DA001,1,1993/03/19,133,B
+07DA001,1,1993/03/20,136,B
+07DA001,1,1993/03/21,138,B
+07DA001,1,1993/03/22,142,B
+07DA001,1,1993/03/23,146,B
+07DA001,1,1993/03/24,149,B
+07DA001,1,1993/03/25,152,B
+07DA001,1,1993/03/26,153,B
+07DA001,1,1993/03/27,155,B
+07DA001,1,1993/03/28,156,B
+07DA001,1,1993/03/29,157,B
+07DA001,1,1993/03/30,161,B
+07DA001,1,1993/03/31,168,B
+07DA001,1,1993/04/01,171,B
+07DA001,1,1993/04/02,176,B
+07DA001,1,1993/04/03,180,B
+07DA001,1,1993/04/04,189,B
+07DA001,1,1993/04/05,189,B
+07DA001,1,1993/04/06,192,B
+07DA001,1,1993/04/07,195,B
+07DA001,1,1993/04/08,200,B
+07DA001,1,1993/04/09,208,B
+07DA001,1,1993/04/10,216,B
+07DA001,1,1993/04/11,226,B
+07DA001,1,1993/04/12,233,B
+07DA001,1,1993/04/13,244,B
+07DA001,1,1993/04/14,257,B
+07DA001,1,1993/04/15,268,B
+07DA001,1,1993/04/16,272,B
+07DA001,1,1993/04/17,272,B
+07DA001,1,1993/04/18,296,B
+07DA001,1,1993/04/19,360,B
+07DA001,1,1993/04/20,420,B
+07DA001,1,1993/04/21,510,B
+07DA001,1,1993/04/22,507,B
+07DA001,1,1993/04/23,503,B
+07DA001,1,1993/04/24,500,B
+07DA001,1,1993/04/25,480,B
+07DA001,1,1993/04/26,470,B
+07DA001,1,1993/04/27,465,B
+07DA001,1,1993/04/28,460,B
+07DA001,1,1993/04/29,462,E
+07DA001,1,1993/04/30,465,E
+07DA001,1,1993/05/01,462,A
+07DA001,1,1993/05/02,460,
+07DA001,1,1993/05/03,450,
+07DA001,1,1993/05/04,441,
+07DA001,1,1993/05/05,437,
+07DA001,1,1993/05/06,430,
+07DA001,1,1993/05/07,424,
+07DA001,1,1993/05/08,454,
+07DA001,1,1993/05/09,573,
+07DA001,1,1993/05/10,669,
+07DA001,1,1993/05/11,675,
+07DA001,1,1993/05/12,771,
+07DA001,1,1993/05/13,809,
+07DA001,1,1993/05/14,755,
+07DA001,1,1993/05/15,705,
+07DA001,1,1993/05/16,658,
+07DA001,1,1993/05/17,617,
+07DA001,1,1993/05/18,584,
+07DA001,1,1993/05/19,720,
+07DA001,1,1993/05/20,998,
+07DA001,1,1993/05/21,991,
+07DA001,1,1993/05/22,913,
+07DA001,1,1993/05/23,868,
+07DA001,1,1993/05/24,841,
+07DA001,1,1993/05/25,815,
+07DA001,1,1993/05/26,808,
+07DA001,1,1993/05/27,797,
+07DA001,1,1993/05/28,759,
+07DA001,1,1993/05/29,713,
+07DA001,1,1993/05/30,666,
+07DA001,1,1993/05/31,644,
+07DA001,1,1993/06/01,657,
+07DA001,1,1993/06/02,677,
+07DA001,1,1993/06/03,672,
+07DA001,1,1993/06/04,653,
+07DA001,1,1993/06/05,639,
+07DA001,1,1993/06/06,621,
+07DA001,1,1993/06/07,614,
+07DA001,1,1993/06/08,647,
+07DA001,1,1993/06/09,667,
+07DA001,1,1993/06/10,635,
+07DA001,1,1993/06/11,617,
+07DA001,1,1993/06/12,595,
+07DA001,1,1993/06/13,578,
+07DA001,1,1993/06/14,577,
+07DA001,1,1993/06/15,599,
+07DA001,1,1993/06/16,574,
+07DA001,1,1993/06/17,529,
+07DA001,1,1993/06/18,492,
+07DA001,1,1993/06/19,462,
+07DA001,1,1993/06/20,441,
+07DA001,1,1993/06/21,439,
+07DA001,1,1993/06/22,496,
+07DA001,1,1993/06/23,618,
+07DA001,1,1993/06/24,697,
+07DA001,1,1993/06/25,785,
+07DA001,1,1993/06/26,878,
+07DA001,1,1993/06/27,933,
+07DA001,1,1993/06/28,1130,
+07DA001,1,1993/06/29,1160,
+07DA001,1,1993/06/30,1060,
+07DA001,1,1993/07/01,1020,
+07DA001,1,1993/07/02,1030,
+07DA001,1,1993/07/03,1150,
+07DA001,1,1993/07/04,1160,
+07DA001,1,1993/07/05,1080,
+07DA001,1,1993/07/06,1020,
+07DA001,1,1993/07/07,1010,
+07DA001,1,1993/07/08,986,
+07DA001,1,1993/07/09,989,
+07DA001,1,1993/07/10,989,
+07DA001,1,1993/07/11,1000,
+07DA001,1,1993/07/12,1020,
+07DA001,1,1993/07/13,1030,
+07DA001,1,1993/07/14,1040,
+07DA001,1,1993/07/15,1050,
+07DA001,1,1993/07/16,998,
+07DA001,1,1993/07/17,968,
+07DA001,1,1993/07/18,931,
+07DA001,1,1993/07/19,903,
+07DA001,1,1993/07/20,893,
+07DA001,1,1993/07/21,914,
+07DA001,1,1993/07/22,985,
+07DA001,1,1993/07/23,1030,
+07DA001,1,1993/07/24,1030,
+07DA001,1,1993/07/25,1060,
+07DA001,1,1993/07/26,1180,
+07DA001,1,1993/07/27,1230,
+07DA001,1,1993/07/28,1280,
+07DA001,1,1993/07/29,1270,
+07DA001,1,1993/07/30,1220,
+07DA001,1,1993/07/31,1170,
+07DA001,1,1993/08/01,1140,
+07DA001,1,1993/08/02,1130,
+07DA001,1,1993/08/03,1150,
+07DA001,1,1993/08/04,1170,
+07DA001,1,1993/08/05,1150,
+07DA001,1,1993/08/06,1060,
+07DA001,1,1993/08/07,1000,
+07DA001,1,1993/08/08,956,
+07DA001,1,1993/08/09,940,
+07DA001,1,1993/08/10,930,
+07DA001,1,1993/08/11,942,
+07DA001,1,1993/08/12,1010,
+07DA001,1,1993/08/13,1100,
+07DA001,1,1993/08/14,1120,
+07DA001,1,1993/08/15,1070,
+07DA001,1,1993/08/16,1050,
+07DA001,1,1993/08/17,1060,
+07DA001,1,1993/08/18,1000,
+07DA001,1,1993/08/19,944,
+07DA001,1,1993/08/20,910,
+07DA001,1,1993/08/21,882,
+07DA001,1,1993/08/22,844,
+07DA001,1,1993/08/23,817,
+07DA001,1,1993/08/24,801,
+07DA001,1,1993/08/25,791,
+07DA001,1,1993/08/26,788,
+07DA001,1,1993/08/27,790,
+07DA001,1,1993/08/28,803,
+07DA001,1,1993/08/29,809,
+07DA001,1,1993/08/30,827,
+07DA001,1,1993/08/31,819,
+07DA001,1,1993/09/01,775,
+07DA001,1,1993/09/02,761,
+07DA001,1,1993/09/03,786,
+07DA001,1,1993/09/04,811,
+07DA001,1,1993/09/05,807,
+07DA001,1,1993/09/06,796,
+07DA001,1,1993/09/07,812,
+07DA001,1,1993/09/08,845,
+07DA001,1,1993/09/09,827,
+07DA001,1,1993/09/10,803,
+07DA001,1,1993/09/11,775,
+07DA001,1,1993/09/12,742,
+07DA001,1,1993/09/13,708,
+07DA001,1,1993/09/14,675,
+07DA001,1,1993/09/15,660,
+07DA001,1,1993/09/16,652,
+07DA001,1,1993/09/17,637,
+07DA001,1,1993/09/18,634,
+07DA001,1,1993/09/19,630,
+07DA001,1,1993/09/20,605,
+07DA001,1,1993/09/21,581,
+07DA001,1,1993/09/22,568,
+07DA001,1,1993/09/23,561,
+07DA001,1,1993/09/24,553,
+07DA001,1,1993/09/25,546,
+07DA001,1,1993/09/26,547,
+07DA001,1,1993/09/27,561,
+07DA001,1,1993/09/28,564,
+07DA001,1,1993/09/29,555,
+07DA001,1,1993/09/30,541,
+07DA001,1,1993/10/01,525,
+07DA001,1,1993/10/02,519,
+07DA001,1,1993/10/03,517,
+07DA001,1,1993/10/04,505,
+07DA001,1,1993/10/05,499,
+07DA001,1,1993/10/06,498,
+07DA001,1,1993/10/07,488,
+07DA001,1,1993/10/08,480,
+07DA001,1,1993/10/09,473,
+07DA001,1,1993/10/10,463,
+07DA001,1,1993/10/11,456,
+07DA001,1,1993/10/12,452,
+07DA001,1,1993/10/13,450,
+07DA001,1,1993/10/14,454,
+07DA001,1,1993/10/15,452,
+07DA001,1,1993/10/16,442,
+07DA001,1,1993/10/17,434,
+07DA001,1,1993/10/18,426,
+07DA001,1,1993/10/19,424,
+07DA001,1,1993/10/20,416,
+07DA001,1,1993/10/21,412,
+07DA001,1,1993/10/22,409,
+07DA001,1,1993/10/23,407,
+07DA001,1,1993/10/24,406,
+07DA001,1,1993/10/25,402,
+07DA001,1,1993/10/26,391,
+07DA001,1,1993/10/27,394,
+07DA001,1,1993/10/28,392,
+07DA001,1,1993/10/29,370,B
+07DA001,1,1993/10/30,358,B
+07DA001,1,1993/10/31,347,B
+07DA001,1,1993/11/01,337,B
+07DA001,1,1993/11/02,325,B
+07DA001,1,1993/11/03,313,B
+07DA001,1,1993/11/04,300,B
+07DA001,1,1993/11/05,275,B
+07DA001,1,1993/11/06,265,B
+07DA001,1,1993/11/07,240,B
+07DA001,1,1993/11/08,240,B
+07DA001,1,1993/11/09,250,B
+07DA001,1,1993/11/10,256,B
+07DA001,1,1993/11/11,259,B
+07DA001,1,1993/11/12,260,B
+07DA001,1,1993/11/13,260,B
+07DA001,1,1993/11/14,258,B
+07DA001,1,1993/11/15,257,B
+07DA001,1,1993/11/16,256,B
+07DA001,1,1993/11/17,254,B
+07DA001,1,1993/11/18,250,B
+07DA001,1,1993/11/19,245,B
+07DA001,1,1993/11/20,235,B
+07DA001,1,1993/11/21,220,B
+07DA001,1,1993/11/22,200,B
+07DA001,1,1993/11/23,175,B
+07DA001,1,1993/11/24,160,B
+07DA001,1,1993/11/25,158,B
+07DA001,1,1993/11/26,162,B
+07DA001,1,1993/11/27,168,B
+07DA001,1,1993/11/28,178,B
+07DA001,1,1993/11/29,185,B
+07DA001,1,1993/11/30,193,B
+07DA001,1,1993/12/01,198,B
+07DA001,1,1993/12/02,200,B
+07DA001,1,1993/12/03,204,B
+07DA001,1,1993/12/04,202,B
+07DA001,1,1993/12/05,199,B
+07DA001,1,1993/12/06,199,B
+07DA001,1,1993/12/07,198,B
+07DA001,1,1993/12/08,195,B
+07DA001,1,1993/12/09,193,B
+07DA001,1,1993/12/10,191,B
+07DA001,1,1993/12/11,189,B
+07DA001,1,1993/12/12,188,B
+07DA001,1,1993/12/13,187,B
+07DA001,1,1993/12/14,186,B
+07DA001,1,1993/12/15,185,B
+07DA001,1,1993/12/16,184,B
+07DA001,1,1993/12/17,182,B
+07DA001,1,1993/12/18,181,B
+07DA001,1,1993/12/19,180,B
+07DA001,1,1993/12/20,179,B
+07DA001,1,1993/12/21,178,B
+07DA001,1,1993/12/22,178,B
+07DA001,1,1993/12/23,177,B
+07DA001,1,1993/12/24,176,B
+07DA001,1,1993/12/25,176,B
+07DA001,1,1993/12/26,175,B
+07DA001,1,1993/12/27,175,B
+07DA001,1,1993/12/28,175,B
+07DA001,1,1993/12/29,174,B
+07DA001,1,1993/12/30,174,B
+07DA001,1,1993/12/31,174,B
+07DA001,1,1994/01/01,175,B
+07DA001,1,1994/01/02,175,B
+07DA001,1,1994/01/03,175,B
+07DA001,1,1994/01/04,174,B
+07DA001,1,1994/01/05,174,B
+07DA001,1,1994/01/06,174,B
+07DA001,1,1994/01/07,170,B
+07DA001,1,1994/01/08,164,B
+07DA001,1,1994/01/09,162,B
+07DA001,1,1994/01/10,158,B
+07DA001,1,1994/01/11,157,B
+07DA001,1,1994/01/12,156,B
+07DA001,1,1994/01/13,156,B
+07DA001,1,1994/01/14,152,B
+07DA001,1,1994/01/15,150,B
+07DA001,1,1994/01/16,150,B
+07DA001,1,1994/01/17,148,B
+07DA001,1,1994/01/18,145,B
+07DA001,1,1994/01/19,142,B
+07DA001,1,1994/01/20,142,B
+07DA001,1,1994/01/21,146,B
+07DA001,1,1994/01/22,149,B
+07DA001,1,1994/01/23,150,B
+07DA001,1,1994/01/24,151,B
+07DA001,1,1994/01/25,151,B
+07DA001,1,1994/01/26,152,B
+07DA001,1,1994/01/27,153,B
+07DA001,1,1994/01/28,154,B
+07DA001,1,1994/01/29,152,B
+07DA001,1,1994/01/30,151,B
+07DA001,1,1994/01/31,151,B
+07DA001,1,1994/02/01,151,B
+07DA001,1,1994/02/02,150,B
+07DA001,1,1994/02/03,150,B
+07DA001,1,1994/02/04,149,B
+07DA001,1,1994/02/05,148,B
+07DA001,1,1994/02/06,146,B
+07DA001,1,1994/02/07,144,B
+07DA001,1,1994/02/08,143,B
+07DA001,1,1994/02/09,143,B
+07DA001,1,1994/02/10,145,B
+07DA001,1,1994/02/11,146,B
+07DA001,1,1994/02/12,149,B
+07DA001,1,1994/02/13,150,B
+07DA001,1,1994/02/14,149,B
+07DA001,1,1994/02/15,149,B
+07DA001,1,1994/02/16,149,B
+07DA001,1,1994/02/17,148,B
+07DA001,1,1994/02/18,147,B
+07DA001,1,1994/02/19,147,B
+07DA001,1,1994/02/20,145,B
+07DA001,1,1994/02/21,144,B
+07DA001,1,1994/02/22,143,B
+07DA001,1,1994/02/23,142,B
+07DA001,1,1994/02/24,141,B
+07DA001,1,1994/02/25,141,B
+07DA001,1,1994/02/26,142,B
+07DA001,1,1994/02/27,142,B
+07DA001,1,1994/02/28,143,B
+07DA001,1,1994/03/01,143,B
+07DA001,1,1994/03/02,144,B
+07DA001,1,1994/03/03,146,B
+07DA001,1,1994/03/04,147,B
+07DA001,1,1994/03/05,149,B
+07DA001,1,1994/03/06,149,B
+07DA001,1,1994/03/07,149,B
+07DA001,1,1994/03/08,150,B
+07DA001,1,1994/03/09,152,B
+07DA001,1,1994/03/10,153,B
+07DA001,1,1994/03/11,154,B
+07DA001,1,1994/03/12,155,B
+07DA001,1,1994/03/13,160,B
+07DA001,1,1994/03/14,169,B
+07DA001,1,1994/03/15,175,B
+07DA001,1,1994/03/16,175,B
+07DA001,1,1994/03/17,175,B
+07DA001,1,1994/03/18,175,B
+07DA001,1,1994/03/19,174,B
+07DA001,1,1994/03/20,173,B
+07DA001,1,1994/03/21,173,B
+07DA001,1,1994/03/22,173,B
+07DA001,1,1994/03/23,174,B
+07DA001,1,1994/03/24,178,B
+07DA001,1,1994/03/25,180,B
+07DA001,1,1994/03/26,185,B
+07DA001,1,1994/03/27,186,B
+07DA001,1,1994/03/28,188,B
+07DA001,1,1994/03/29,189,B
+07DA001,1,1994/03/30,191,B
+07DA001,1,1994/03/31,193,B
+07DA001,1,1994/04/01,196,B
+07DA001,1,1994/04/02,195,B
+07DA001,1,1994/04/03,196,B
+07DA001,1,1994/04/04,195,B
+07DA001,1,1994/04/05,194,B
+07DA001,1,1994/04/06,198,B
+07DA001,1,1994/04/07,245,B
+07DA001,1,1994/04/08,332,B
+07DA001,1,1994/04/09,391,B
+07DA001,1,1994/04/10,415,B
+07DA001,1,1994/04/11,442,B
+07DA001,1,1994/04/12,475,B
+07DA001,1,1994/04/13,493,B
+07DA001,1,1994/04/14,502,B
+07DA001,1,1994/04/15,508,B
+07DA001,1,1994/04/16,515,B
+07DA001,1,1994/04/17,520,B
+07DA001,1,1994/04/18,535,B
+07DA001,1,1994/04/19,560,B
+07DA001,1,1994/04/20,585,B
+07DA001,1,1994/04/21,630,B
+07DA001,1,1994/04/22,685,B
+07DA001,1,1994/04/23,1180,
+07DA001,1,1994/04/24,1150,
+07DA001,1,1994/04/25,1080,
+07DA001,1,1994/04/26,1110,
+07DA001,1,1994/04/27,1140,
+07DA001,1,1994/04/28,1100,
+07DA001,1,1994/04/29,1030,
+07DA001,1,1994/04/30,977,
+07DA001,1,1994/05/01,934,
+07DA001,1,1994/05/02,893,
+07DA001,1,1994/05/03,853,
+07DA001,1,1994/05/04,820,
+07DA001,1,1994/05/05,796,
+07DA001,1,1994/05/06,785,
+07DA001,1,1994/05/07,805,
+07DA001,1,1994/05/08,820,
+07DA001,1,1994/05/09,840,
+07DA001,1,1994/05/10,828,
+07DA001,1,1994/05/11,820,
+07DA001,1,1994/05/12,800,
+07DA001,1,1994/05/13,778,
+07DA001,1,1994/05/14,781,
+07DA001,1,1994/05/15,815,
+07DA001,1,1994/05/16,841,
+07DA001,1,1994/05/17,889,
+07DA001,1,1994/05/18,959,
+07DA001,1,1994/05/19,1000,
+07DA001,1,1994/05/20,1040,
+07DA001,1,1994/05/21,1160,
+07DA001,1,1994/05/22,1210,
+07DA001,1,1994/05/23,1210,
+07DA001,1,1994/05/24,1180,
+07DA001,1,1994/05/25,1150,
+07DA001,1,1994/05/26,1140,
+07DA001,1,1994/05/27,1120,
+07DA001,1,1994/05/28,1110,
+07DA001,1,1994/05/29,1080,
+07DA001,1,1994/05/30,1100,
+07DA001,1,1994/05/31,1160,
+07DA001,1,1994/06/01,1210,
+07DA001,1,1994/06/02,1200,
+07DA001,1,1994/06/03,1130,
+07DA001,1,1994/06/04,1050,
+07DA001,1,1994/06/05,996,
+07DA001,1,1994/06/06,948,
+07DA001,1,1994/06/07,917,
+07DA001,1,1994/06/08,901,
+07DA001,1,1994/06/09,899,
+07DA001,1,1994/06/10,928,
+07DA001,1,1994/06/11,1020,
+07DA001,1,1994/06/12,1230,
+07DA001,1,1994/06/13,1480,
+07DA001,1,1994/06/14,1490,
+07DA001,1,1994/06/15,1460,
+07DA001,1,1994/06/16,1560,
+07DA001,1,1994/06/17,1860,
+07DA001,1,1994/06/18,2080,
+07DA001,1,1994/06/19,2070,
+07DA001,1,1994/06/20,1930,
+07DA001,1,1994/06/21,1740,
+07DA001,1,1994/06/22,1590,
+07DA001,1,1994/06/23,1500,
+07DA001,1,1994/06/24,1440,
+07DA001,1,1994/06/25,1400,
+07DA001,1,1994/06/26,1340,
+07DA001,1,1994/06/27,1300,
+07DA001,1,1994/06/28,1290,
+07DA001,1,1994/06/29,1320,
+07DA001,1,1994/06/30,1330,
+07DA001,1,1994/07/01,1300,
+07DA001,1,1994/07/02,1270,
+07DA001,1,1994/07/03,1270,
+07DA001,1,1994/07/04,1380,
+07DA001,1,1994/07/05,1590,
+07DA001,1,1994/07/06,1800,
+07DA001,1,1994/07/07,1920,
+07DA001,1,1994/07/08,1980,
+07DA001,1,1994/07/09,2030,
+07DA001,1,1994/07/10,2000,
+07DA001,1,1994/07/11,1910,
+07DA001,1,1994/07/12,1860,
+07DA001,1,1994/07/13,1820,
+07DA001,1,1994/07/14,1840,
+07DA001,1,1994/07/15,1810,
+07DA001,1,1994/07/16,1750,
+07DA001,1,1994/07/17,1650,
+07DA001,1,1994/07/18,1560,
+07DA001,1,1994/07/19,1470,
+07DA001,1,1994/07/20,1400,
+07DA001,1,1994/07/21,1360,
+07DA001,1,1994/07/22,1320,
+07DA001,1,1994/07/23,1290,
+07DA001,1,1994/07/24,1240,
+07DA001,1,1994/07/25,1180,
+07DA001,1,1994/07/26,1110,
+07DA001,1,1994/07/27,1060,
+07DA001,1,1994/07/28,1050,
+07DA001,1,1994/07/29,1030,
+07DA001,1,1994/07/30,999,
+07DA001,1,1994/07/31,1000,
+07DA001,1,1994/08/01,1040,
+07DA001,1,1994/08/02,1020,
+07DA001,1,1994/08/03,974,
+07DA001,1,1994/08/04,938,
+07DA001,1,1994/08/05,912,
+07DA001,1,1994/08/06,882,
+07DA001,1,1994/08/07,840,
+07DA001,1,1994/08/08,811,
+07DA001,1,1994/08/09,800,
+07DA001,1,1994/08/10,814,
+07DA001,1,1994/08/11,824,
+07DA001,1,1994/08/12,835,
+07DA001,1,1994/08/13,868,
+07DA001,1,1994/08/14,873,
+07DA001,1,1994/08/15,846,
+07DA001,1,1994/08/16,819,
+07DA001,1,1994/08/17,790,
+07DA001,1,1994/08/18,750,
+07DA001,1,1994/08/19,718,
+07DA001,1,1994/08/20,704,
+07DA001,1,1994/08/21,706,
+07DA001,1,1994/08/22,722,
+07DA001,1,1994/08/23,785,
+07DA001,1,1994/08/24,879,
+07DA001,1,1994/08/25,809,
+07DA001,1,1994/08/26,762,
+07DA001,1,1994/08/27,754,
+07DA001,1,1994/08/28,727,
+07DA001,1,1994/08/29,689,
+07DA001,1,1994/08/30,665,
+07DA001,1,1994/08/31,625,
+07DA001,1,1994/09/01,586,
+07DA001,1,1994/09/02,560,
+07DA001,1,1994/09/03,538,
+07DA001,1,1994/09/04,525,
+07DA001,1,1994/09/05,516,
+07DA001,1,1994/09/06,517,
+07DA001,1,1994/09/07,520,
+07DA001,1,1994/09/08,508,
+07DA001,1,1994/09/09,499,
+07DA001,1,1994/09/10,491,
+07DA001,1,1994/09/11,480,
+07DA001,1,1994/09/12,471,
+07DA001,1,1994/09/13,456,
+07DA001,1,1994/09/14,453,
+07DA001,1,1994/09/15,445,
+07DA001,1,1994/09/16,447,
+07DA001,1,1994/09/17,459,
+07DA001,1,1994/09/18,445,
+07DA001,1,1994/09/19,431,
+07DA001,1,1994/09/20,414,
+07DA001,1,1994/09/21,396,
+07DA001,1,1994/09/22,396,
+07DA001,1,1994/09/23,403,
+07DA001,1,1994/09/24,399,
+07DA001,1,1994/09/25,404,
+07DA001,1,1994/09/26,402,
+07DA001,1,1994/09/27,397,
+07DA001,1,1994/09/28,396,
+07DA001,1,1994/09/29,382,
+07DA001,1,1994/09/30,371,
+07DA001,1,1994/10/01,381,
+07DA001,1,1994/10/02,392,
+07DA001,1,1994/10/03,398,
+07DA001,1,1994/10/04,404,
+07DA001,1,1994/10/05,407,
+07DA001,1,1994/10/06,414,
+07DA001,1,1994/10/07,438,
+07DA001,1,1994/10/08,507,
+07DA001,1,1994/10/09,544,
+07DA001,1,1994/10/10,513,
+07DA001,1,1994/10/11,475,
+07DA001,1,1994/10/12,445,
+07DA001,1,1994/10/13,430,
+07DA001,1,1994/10/14,419,
+07DA001,1,1994/10/15,407,
+07DA001,1,1994/10/16,393,
+07DA001,1,1994/10/17,379,
+07DA001,1,1994/10/18,373,
+07DA001,1,1994/10/19,368,
+07DA001,1,1994/10/20,364,
+07DA001,1,1994/10/21,358,
+07DA001,1,1994/10/22,355,
+07DA001,1,1994/10/23,351,
+07DA001,1,1994/10/24,347,
+07DA001,1,1994/10/25,343,
+07DA001,1,1994/10/26,343,
+07DA001,1,1994/10/27,334,
+07DA001,1,1994/10/28,330,
+07DA001,1,1994/10/29,324,
+07DA001,1,1994/10/30,320,
+07DA001,1,1994/10/31,298,
+07DA001,1,1994/11/01,274,B
+07DA001,1,1994/11/02,256,B
+07DA001,1,1994/11/03,250,B
+07DA001,1,1994/11/04,254,B
+07DA001,1,1994/11/05,258,B
+07DA001,1,1994/11/06,259,B
+07DA001,1,1994/11/07,246,B
+07DA001,1,1994/11/08,241,B
+07DA001,1,1994/11/09,238,B
+07DA001,1,1994/11/10,239,B
+07DA001,1,1994/11/11,240,B
+07DA001,1,1994/11/12,235,B
+07DA001,1,1994/11/13,225,B
+07DA001,1,1994/11/14,218,B
+07DA001,1,1994/11/15,210,B
+07DA001,1,1994/11/16,204,B
+07DA001,1,1994/11/17,202,B
+07DA001,1,1994/11/18,200,B
+07DA001,1,1994/11/19,203,B
+07DA001,1,1994/11/20,205,B
+07DA001,1,1994/11/21,190,B
+07DA001,1,1994/11/22,180,B
+07DA001,1,1994/11/23,185,B
+07DA001,1,1994/11/24,190,B
+07DA001,1,1994/11/25,160,B
+07DA001,1,1994/11/26,155,B
+07DA001,1,1994/11/27,154,B
+07DA001,1,1994/11/28,156,B
+07DA001,1,1994/11/29,155,B
+07DA001,1,1994/11/30,150,B
+07DA001,1,1994/12/01,149,B
+07DA001,1,1994/12/02,148,B
+07DA001,1,1994/12/03,149,B
+07DA001,1,1994/12/04,150,B
+07DA001,1,1994/12/05,155,B
+07DA001,1,1994/12/06,158,B
+07DA001,1,1994/12/07,155,B
+07DA001,1,1994/12/08,151,B
+07DA001,1,1994/12/09,150,B
+07DA001,1,1994/12/10,149,B
+07DA001,1,1994/12/11,149,B
+07DA001,1,1994/12/12,150,B
+07DA001,1,1994/12/13,153,B
+07DA001,1,1994/12/14,155,B
+07DA001,1,1994/12/15,155,B
+07DA001,1,1994/12/16,156,B
+07DA001,1,1994/12/17,160,B
+07DA001,1,1994/12/18,165,B
+07DA001,1,1994/12/19,175,B
+07DA001,1,1994/12/20,185,B
+07DA001,1,1994/12/21,205,B
+07DA001,1,1994/12/22,218,B
+07DA001,1,1994/12/23,220,B
+07DA001,1,1994/12/24,219,B
+07DA001,1,1994/12/25,214,B
+07DA001,1,1994/12/26,205,B
+07DA001,1,1994/12/27,200,B
+07DA001,1,1994/12/28,198,B
+07DA001,1,1994/12/29,196,B
+07DA001,1,1994/12/30,198,B
+07DA001,1,1994/12/31,200,B
+07DA001,1,1995/01/01,197,B
+07DA001,1,1995/01/02,196,B
+07DA001,1,1995/01/03,194,B
+07DA001,1,1995/01/04,191,B
+07DA001,1,1995/01/05,186,B
+07DA001,1,1995/01/06,180,B
+07DA001,1,1995/01/07,176,B
+07DA001,1,1995/01/08,171,B
+07DA001,1,1995/01/09,169,B
+07DA001,1,1995/01/10,163,B
+07DA001,1,1995/01/11,158,B
+07DA001,1,1995/01/12,154,B
+07DA001,1,1995/01/13,151,B
+07DA001,1,1995/01/14,148,B
+07DA001,1,1995/01/15,148,B
+07DA001,1,1995/01/16,143,B
+07DA001,1,1995/01/17,148,B
+07DA001,1,1995/01/18,148,B
+07DA001,1,1995/01/19,149,B
+07DA001,1,1995/01/20,149,B
+07DA001,1,1995/01/21,148,B
+07DA001,1,1995/01/22,149,B
+07DA001,1,1995/01/23,151,B
+07DA001,1,1995/01/24,152,B
+07DA001,1,1995/01/25,152,B
+07DA001,1,1995/01/26,152,B
+07DA001,1,1995/01/27,152,B
+07DA001,1,1995/01/28,152,B
+07DA001,1,1995/01/29,153,B
+07DA001,1,1995/01/30,153,B
+07DA001,1,1995/01/31,153,B
+07DA001,1,1995/02/01,152,B
+07DA001,1,1995/02/02,152,B
+07DA001,1,1995/02/03,150,B
+07DA001,1,1995/02/04,150,B
+07DA001,1,1995/02/05,149,B
+07DA001,1,1995/02/06,148,B
+07DA001,1,1995/02/07,148,B
+07DA001,1,1995/02/08,149,B
+07DA001,1,1995/02/09,150,B
+07DA001,1,1995/02/10,149,B
+07DA001,1,1995/02/11,149,B
+07DA001,1,1995/02/12,149,B
+07DA001,1,1995/02/13,148,B
+07DA001,1,1995/02/14,147,B
+07DA001,1,1995/02/15,146,B
+07DA001,1,1995/02/16,146,B
+07DA001,1,1995/02/17,141,B
+07DA001,1,1995/02/18,137,B
+07DA001,1,1995/02/19,138,B
+07DA001,1,1995/02/20,139,B
+07DA001,1,1995/02/21,140,B
+07DA001,1,1995/02/22,138,B
+07DA001,1,1995/02/23,136,B
+07DA001,1,1995/02/24,134,B
+07DA001,1,1995/02/25,132,B
+07DA001,1,1995/02/26,130,B
+07DA001,1,1995/02/27,130,B
+07DA001,1,1995/02/28,130,B
+07DA001,1,1995/03/01,130,B
+07DA001,1,1995/03/02,131,B
+07DA001,1,1995/03/03,131,B
+07DA001,1,1995/03/04,132,B
+07DA001,1,1995/03/05,132,B
+07DA001,1,1995/03/06,130,B
+07DA001,1,1995/03/07,130,B
+07DA001,1,1995/03/08,129,B
+07DA001,1,1995/03/09,129,B
+07DA001,1,1995/03/10,130,B
+07DA001,1,1995/03/11,129,B
+07DA001,1,1995/03/12,127,B
+07DA001,1,1995/03/13,125,B
+07DA001,1,1995/03/14,124,B
+07DA001,1,1995/03/15,123,B
+07DA001,1,1995/03/16,123,B
+07DA001,1,1995/03/17,124,B
+07DA001,1,1995/03/18,124,B
+07DA001,1,1995/03/19,127,B
+07DA001,1,1995/03/20,129,B
+07DA001,1,1995/03/21,129,B
+07DA001,1,1995/03/22,132,B
+07DA001,1,1995/03/23,137,B
+07DA001,1,1995/03/24,142,B
+07DA001,1,1995/03/25,146,B
+07DA001,1,1995/03/26,155,B
+07DA001,1,1995/03/27,162,B
+07DA001,1,1995/03/28,167,B
+07DA001,1,1995/03/29,170,B
+07DA001,1,1995/03/30,175,B
+07DA001,1,1995/03/31,178,B
+07DA001,1,1995/04/01,181,B
+07DA001,1,1995/04/02,194,B
+07DA001,1,1995/04/03,205,B
+07DA001,1,1995/04/04,205,B
+07DA001,1,1995/04/05,202,B
+07DA001,1,1995/04/06,197,B
+07DA001,1,1995/04/07,190,B
+07DA001,1,1995/04/08,198,B
+07DA001,1,1995/04/09,206,B
+07DA001,1,1995/04/10,215,B
+07DA001,1,1995/04/11,216,B
+07DA001,1,1995/04/12,224,B
+07DA001,1,1995/04/13,229,B
+07DA001,1,1995/04/14,240,B
+07DA001,1,1995/04/15,245,B
+07DA001,1,1995/04/16,250,B
+07DA001,1,1995/04/17,251,B
+07DA001,1,1995/04/18,270,B
+07DA001,1,1995/04/19,285,B
+07DA001,1,1995/04/20,352,B
+07DA001,1,1995/04/21,409,B
+07DA001,1,1995/04/22,441,B
+07DA001,1,1995/04/23,476,B
+07DA001,1,1995/04/24,436,B
+07DA001,1,1995/04/25,436,B
+07DA001,1,1995/04/26,398,B
+07DA001,1,1995/04/27,428,B
+07DA001,1,1995/04/28,437,B
+07DA001,1,1995/04/29,446,B
+07DA001,1,1995/04/30,512,B
+07DA001,1,1995/05/01,514,
+07DA001,1,1995/05/02,519,
+07DA001,1,1995/05/03,506,
+07DA001,1,1995/05/04,493,
+07DA001,1,1995/05/05,484,
+07DA001,1,1995/05/06,472,
+07DA001,1,1995/05/07,460,
+07DA001,1,1995/05/08,442,
+07DA001,1,1995/05/09,430,
+07DA001,1,1995/05/10,423,
+07DA001,1,1995/05/11,415,
+07DA001,1,1995/05/12,418,
+07DA001,1,1995/05/13,422,
+07DA001,1,1995/05/14,425,
+07DA001,1,1995/05/15,433,
+07DA001,1,1995/05/16,439,
+07DA001,1,1995/05/17,450,
+07DA001,1,1995/05/18,469,
+07DA001,1,1995/05/19,549,
+07DA001,1,1995/05/20,635,
+07DA001,1,1995/05/21,677,
+07DA001,1,1995/05/22,676,
+07DA001,1,1995/05/23,691,
+07DA001,1,1995/05/24,695,
+07DA001,1,1995/05/25,667,
+07DA001,1,1995/05/26,638,
+07DA001,1,1995/05/27,619,
+07DA001,1,1995/05/28,601,
+07DA001,1,1995/05/29,598,
+07DA001,1,1995/05/30,602,
+07DA001,1,1995/05/31,613,
+07DA001,1,1995/06/01,621,
+07DA001,1,1995/06/02,616,
+07DA001,1,1995/06/03,632,
+07DA001,1,1995/06/04,748,
+07DA001,1,1995/06/05,904,
+07DA001,1,1995/06/06,949,
+07DA001,1,1995/06/07,936,
+07DA001,1,1995/06/08,932,
+07DA001,1,1995/06/09,953,
+07DA001,1,1995/06/10,1030,
+07DA001,1,1995/06/11,1160,
+07DA001,1,1995/06/12,1240,
+07DA001,1,1995/06/13,1130,
+07DA001,1,1995/06/14,1080,
+07DA001,1,1995/06/15,1040,
+07DA001,1,1995/06/16,992,
+07DA001,1,1995/06/17,970,
+07DA001,1,1995/06/18,969,
+07DA001,1,1995/06/19,977,
+07DA001,1,1995/06/20,964,
+07DA001,1,1995/06/21,960,
+07DA001,1,1995/06/22,997,
+07DA001,1,1995/06/23,1050,
+07DA001,1,1995/06/24,1140,
+07DA001,1,1995/06/25,1560,
+07DA001,1,1995/06/26,1860,
+07DA001,1,1995/06/27,1740,
+07DA001,1,1995/06/28,1670,
+07DA001,1,1995/06/29,1620,
+07DA001,1,1995/06/30,1550,
+07DA001,1,1995/07/01,1430,
+07DA001,1,1995/07/02,1320,
+07DA001,1,1995/07/03,1200,
+07DA001,1,1995/07/04,1090,
+07DA001,1,1995/07/05,1050,
+07DA001,1,1995/07/06,1050,
+07DA001,1,1995/07/07,1130,
+07DA001,1,1995/07/08,1650,
+07DA001,1,1995/07/09,1860,
+07DA001,1,1995/07/10,1770,
+07DA001,1,1995/07/11,1730,
+07DA001,1,1995/07/12,1650,
+07DA001,1,1995/07/13,1530,
+07DA001,1,1995/07/14,1430,
+07DA001,1,1995/07/15,1370,
+07DA001,1,1995/07/16,1330,
+07DA001,1,1995/07/17,1250,
+07DA001,1,1995/07/18,1150,
+07DA001,1,1995/07/19,1050,
+07DA001,1,1995/07/20,999,
+07DA001,1,1995/07/21,952,
+07DA001,1,1995/07/22,916,
+07DA001,1,1995/07/23,887,
+07DA001,1,1995/07/24,873,
+07DA001,1,1995/07/25,872,
+07DA001,1,1995/07/26,869,
+07DA001,1,1995/07/27,910,
+07DA001,1,1995/07/28,940,
+07DA001,1,1995/07/29,932,
+07DA001,1,1995/07/30,941,
+07DA001,1,1995/07/31,931,
+07DA001,1,1995/08/01,934,
+07DA001,1,1995/08/02,990,
+07DA001,1,1995/08/03,974,
+07DA001,1,1995/08/04,925,
+07DA001,1,1995/08/05,901,
+07DA001,1,1995/08/06,867,
+07DA001,1,1995/08/07,837,
+07DA001,1,1995/08/08,828,
+07DA001,1,1995/08/09,899,
+07DA001,1,1995/08/10,1110,
+07DA001,1,1995/08/11,1450,
+07DA001,1,1995/08/12,2440,
+07DA001,1,1995/08/13,3050,
+07DA001,1,1995/08/14,2810,
+07DA001,1,1995/08/15,2610,
+07DA001,1,1995/08/16,2430,
+07DA001,1,1995/08/17,2290,
+07DA001,1,1995/08/18,2150,
+07DA001,1,1995/08/19,2020,
+07DA001,1,1995/08/20,1890,
+07DA001,1,1995/08/21,1770,
+07DA001,1,1995/08/22,1650,
+07DA001,1,1995/08/23,1560,
+07DA001,1,1995/08/24,1490,
+07DA001,1,1995/08/25,1410,
+07DA001,1,1995/08/26,1320,
+07DA001,1,1995/08/27,1260,
+07DA001,1,1995/08/28,1210,
+07DA001,1,1995/08/29,1190,
+07DA001,1,1995/08/30,1150,
+07DA001,1,1995/08/31,1100,
+07DA001,1,1995/09/01,1030,
+07DA001,1,1995/09/02,971,
+07DA001,1,1995/09/03,923,
+07DA001,1,1995/09/04,878,
+07DA001,1,1995/09/05,847,
+07DA001,1,1995/09/06,807,
+07DA001,1,1995/09/07,772,
+07DA001,1,1995/09/08,738,
+07DA001,1,1995/09/09,711,
+07DA001,1,1995/09/10,689,
+07DA001,1,1995/09/11,666,
+07DA001,1,1995/09/12,646,
+07DA001,1,1995/09/13,648,
+07DA001,1,1995/09/14,645,
+07DA001,1,1995/09/15,635,
+07DA001,1,1995/09/16,614,
+07DA001,1,1995/09/17,597,
+07DA001,1,1995/09/18,579,
+07DA001,1,1995/09/19,569,
+07DA001,1,1995/09/20,559,
+07DA001,1,1995/09/21,537,
+07DA001,1,1995/09/22,525,
+07DA001,1,1995/09/23,512,
+07DA001,1,1995/09/24,497,
+07DA001,1,1995/09/25,485,
+07DA001,1,1995/09/26,479,
+07DA001,1,1995/09/27,467,
+07DA001,1,1995/09/28,451,
+07DA001,1,1995/09/29,437,
+07DA001,1,1995/09/30,429,
+07DA001,1,1995/10/01,421,
+07DA001,1,1995/10/02,417,
+07DA001,1,1995/10/03,413,
+07DA001,1,1995/10/04,409,
+07DA001,1,1995/10/05,404,
+07DA001,1,1995/10/06,404,
+07DA001,1,1995/10/07,399,
+07DA001,1,1995/10/08,394,
+07DA001,1,1995/10/09,391,
+07DA001,1,1995/10/10,384,
+07DA001,1,1995/10/11,377,
+07DA001,1,1995/10/12,374,
+07DA001,1,1995/10/13,369,
+07DA001,1,1995/10/14,366,
+07DA001,1,1995/10/15,362,
+07DA001,1,1995/10/16,370,
+07DA001,1,1995/10/17,373,
+07DA001,1,1995/10/18,385,
+07DA001,1,1995/10/19,389,
+07DA001,1,1995/10/20,394,
+07DA001,1,1995/10/21,394,
+07DA001,1,1995/10/22,390,
+07DA001,1,1995/10/23,388,
+07DA001,1,1995/10/24,397,
+07DA001,1,1995/10/25,410,
+07DA001,1,1995/10/26,416,
+07DA001,1,1995/10/27,414,
+07DA001,1,1995/10/28,409,
+07DA001,1,1995/10/29,397,
+07DA001,1,1995/10/30,379,
+07DA001,1,1995/10/31,382,
+07DA001,1,1995/11/01,360,
+07DA001,1,1995/11/02,335,B
+07DA001,1,1995/11/03,318,B
+07DA001,1,1995/11/04,310,B
+07DA001,1,1995/11/05,319,B
+07DA001,1,1995/11/06,300,B
+07DA001,1,1995/11/07,283,B
+07DA001,1,1995/11/08,265,B
+07DA001,1,1995/11/09,240,B
+07DA001,1,1995/11/10,210,B
+07DA001,1,1995/11/11,184,B
+07DA001,1,1995/11/12,152,B
+07DA001,1,1995/11/13,161,B
+07DA001,1,1995/11/14,174,B
+07DA001,1,1995/11/15,159,B
+07DA001,1,1995/11/16,155,B
+07DA001,1,1995/11/17,171,B
+07DA001,1,1995/11/18,230,B
+07DA001,1,1995/11/19,242,B
+07DA001,1,1995/11/20,250,B
+07DA001,1,1995/11/21,251,B
+07DA001,1,1995/11/22,245,B
+07DA001,1,1995/11/23,235,B
+07DA001,1,1995/11/24,223,B
+07DA001,1,1995/11/25,214,B
+07DA001,1,1995/11/26,211,B
+07DA001,1,1995/11/27,215,B
+07DA001,1,1995/11/28,216,B
+07DA001,1,1995/11/29,211,B
+07DA001,1,1995/11/30,208,B
+07DA001,1,1995/12/01,208,B
+07DA001,1,1995/12/02,209,B
+07DA001,1,1995/12/03,208,B
+07DA001,1,1995/12/04,194,B
+07DA001,1,1995/12/05,189,B
+07DA001,1,1995/12/06,189,B
+07DA001,1,1995/12/07,181,B
+07DA001,1,1995/12/08,179,B
+07DA001,1,1995/12/09,178,B
+07DA001,1,1995/12/10,177,B
+07DA001,1,1995/12/11,176,B
+07DA001,1,1995/12/12,175,B
+07DA001,1,1995/12/13,176,B
+07DA001,1,1995/12/14,178,B
+07DA001,1,1995/12/15,178,B
+07DA001,1,1995/12/16,180,B
+07DA001,1,1995/12/17,179,B
+07DA001,1,1995/12/18,178,B
+07DA001,1,1995/12/19,177,B
+07DA001,1,1995/12/20,178,B
+07DA001,1,1995/12/21,180,B
+07DA001,1,1995/12/22,181,B
+07DA001,1,1995/12/23,182,B
+07DA001,1,1995/12/24,183,B
+07DA001,1,1995/12/25,183,B
+07DA001,1,1995/12/26,184,B
+07DA001,1,1995/12/27,183,B
+07DA001,1,1995/12/28,182,B
+07DA001,1,1995/12/29,181,B
+07DA001,1,1995/12/30,181,B
+07DA001,1,1995/12/31,180,B
+07DA001,1,1996/01/01,178,B
+07DA001,1,1996/01/02,178,B
+07DA001,1,1996/01/03,176,B
+07DA001,1,1996/01/04,172,B
+07DA001,1,1996/01/05,168,B
+07DA001,1,1996/01/06,164,B
+07DA001,1,1996/01/07,161,B
+07DA001,1,1996/01/08,158,B
+07DA001,1,1996/01/09,155,B
+07DA001,1,1996/01/10,157,B
+07DA001,1,1996/01/11,160,B
+07DA001,1,1996/01/12,162,B
+07DA001,1,1996/01/13,159,B
+07DA001,1,1996/01/14,154,B
+07DA001,1,1996/01/15,151,B
+07DA001,1,1996/01/16,150,B
+07DA001,1,1996/01/17,148,B
+07DA001,1,1996/01/18,145,B
+07DA001,1,1996/01/19,146,B
+07DA001,1,1996/01/20,148,B
+07DA001,1,1996/01/21,147,B
+07DA001,1,1996/01/22,147,B
+07DA001,1,1996/01/23,148,B
+07DA001,1,1996/01/24,148,B
+07DA001,1,1996/01/25,143,B
+07DA001,1,1996/01/26,135,B
+07DA001,1,1996/01/27,131,B
+07DA001,1,1996/01/28,131,B
+07DA001,1,1996/01/29,129,B
+07DA001,1,1996/01/30,126,B
+07DA001,1,1996/01/31,126,B
+07DA001,1,1996/02/01,124,B
+07DA001,1,1996/02/02,121,B
+07DA001,1,1996/02/03,120,B
+07DA001,1,1996/02/04,120,B
+07DA001,1,1996/02/05,119,B
+07DA001,1,1996/02/06,118,B
+07DA001,1,1996/02/07,118,B
+07DA001,1,1996/02/08,118,B
+07DA001,1,1996/02/09,117,B
+07DA001,1,1996/02/10,117,B
+07DA001,1,1996/02/11,117,B
+07DA001,1,1996/02/12,118,B
+07DA001,1,1996/02/13,120,B
+07DA001,1,1996/02/14,122,B
+07DA001,1,1996/02/15,122,B
+07DA001,1,1996/02/16,122,B
+07DA001,1,1996/02/17,123,B
+07DA001,1,1996/02/18,123,B
+07DA001,1,1996/02/19,122,B
+07DA001,1,1996/02/20,123,B
+07DA001,1,1996/02/21,124,B
+07DA001,1,1996/02/22,125,B
+07DA001,1,1996/02/23,124,B
+07DA001,1,1996/02/24,123,B
+07DA001,1,1996/02/25,122,B
+07DA001,1,1996/02/26,121,B
+07DA001,1,1996/02/27,122,B
+07DA001,1,1996/02/28,123,B
+07DA001,1,1996/02/29,123,B
+07DA001,1,1996/03/01,122,B
+07DA001,1,1996/03/02,121,B
+07DA001,1,1996/03/03,120,B
+07DA001,1,1996/03/04,120,B
+07DA001,1,1996/03/05,119,B
+07DA001,1,1996/03/06,118,B
+07DA001,1,1996/03/07,119,B
+07DA001,1,1996/03/08,119,B
+07DA001,1,1996/03/09,120,B
+07DA001,1,1996/03/10,120,B
+07DA001,1,1996/03/11,118,B
+07DA001,1,1996/03/12,118,B
+07DA001,1,1996/03/13,118,B
+07DA001,1,1996/03/14,120,B
+07DA001,1,1996/03/15,122,B
+07DA001,1,1996/03/16,124,B
+07DA001,1,1996/03/17,125,B
+07DA001,1,1996/03/18,127,B
+07DA001,1,1996/03/19,130,B
+07DA001,1,1996/03/20,135,B
+07DA001,1,1996/03/21,141,B
+07DA001,1,1996/03/22,147,B
+07DA001,1,1996/03/23,156,B
+07DA001,1,1996/03/24,164,B
+07DA001,1,1996/03/25,171,B
+07DA001,1,1996/03/26,178,B
+07DA001,1,1996/03/27,187,B
+07DA001,1,1996/03/28,192,B
+07DA001,1,1996/03/29,190,B
+07DA001,1,1996/03/30,173,B
+07DA001,1,1996/03/31,156,B
+07DA001,1,1996/04/01,139,B
+07DA001,1,1996/04/02,139,B
+07DA001,1,1996/04/03,142,B
+07DA001,1,1996/04/04,148,B
+07DA001,1,1996/04/05,160,B
+07DA001,1,1996/04/06,168,B
+07DA001,1,1996/04/07,172,B
+07DA001,1,1996/04/08,173,B
+07DA001,1,1996/04/09,170,B
+07DA001,1,1996/04/10,167,B
+07DA001,1,1996/04/11,197,B
+07DA001,1,1996/04/12,253,B
+07DA001,1,1996/04/13,280,B
+07DA001,1,1996/04/14,285,B
+07DA001,1,1996/04/15,371,B
+07DA001,1,1996/04/16,588,B
+07DA001,1,1996/04/17,740,B
+07DA001,1,1996/04/18,986,B
+07DA001,1,1996/04/19,1150,B
+07DA001,1,1996/04/20,1320,B
+07DA001,1,1996/04/21,1480,B
+07DA001,1,1996/04/22,1650,B
+07DA001,1,1996/04/23,1640,B
+07DA001,1,1996/04/24,1570,B
+07DA001,1,1996/04/25,1500,B
+07DA001,1,1996/04/26,1420,B
+07DA001,1,1996/04/27,1270,B
+07DA001,1,1996/04/28,1320,B
+07DA001,1,1996/04/29,1410,
+07DA001,1,1996/04/30,1290,
+07DA001,1,1996/05/01,1250,
+07DA001,1,1996/05/02,1250,
+07DA001,1,1996/05/03,1220,
+07DA001,1,1996/05/04,1190,
+07DA001,1,1996/05/05,1170,
+07DA001,1,1996/05/06,1120,
+07DA001,1,1996/05/07,1070,
+07DA001,1,1996/05/08,1010,
+07DA001,1,1996/05/09,963,
+07DA001,1,1996/05/10,926,
+07DA001,1,1996/05/11,893,
+07DA001,1,1996/05/12,860,
+07DA001,1,1996/05/13,829,
+07DA001,1,1996/05/14,804,
+07DA001,1,1996/05/15,774,
+07DA001,1,1996/05/16,756,
+07DA001,1,1996/05/17,744,
+07DA001,1,1996/05/18,744,
+07DA001,1,1996/05/19,772,
+07DA001,1,1996/05/20,900,
+07DA001,1,1996/05/21,1030,
+07DA001,1,1996/05/22,1150,
+07DA001,1,1996/05/23,1190,
+07DA001,1,1996/05/24,1170,
+07DA001,1,1996/05/25,1120,
+07DA001,1,1996/05/26,1080,
+07DA001,1,1996/05/27,1040,
+07DA001,1,1996/05/28,1010,
+07DA001,1,1996/05/29,970,
+07DA001,1,1996/05/30,954,
+07DA001,1,1996/05/31,962,
+07DA001,1,1996/06/01,1010,
+07DA001,1,1996/06/02,1090,
+07DA001,1,1996/06/03,1410,
+07DA001,1,1996/06/04,2560,
+07DA001,1,1996/06/05,2870,
+07DA001,1,1996/06/06,2480,
+07DA001,1,1996/06/07,2240,
+07DA001,1,1996/06/08,2190,
+07DA001,1,1996/06/09,2160,
+07DA001,1,1996/06/10,2030,
+07DA001,1,1996/06/11,1860,
+07DA001,1,1996/06/12,1750,
+07DA001,1,1996/06/13,1730,
+07DA001,1,1996/06/14,1670,
+07DA001,1,1996/06/15,1530,
+07DA001,1,1996/06/16,1410,
+07DA001,1,1996/06/17,1320,
+07DA001,1,1996/06/18,1300,
+07DA001,1,1996/06/19,1370,
+07DA001,1,1996/06/20,1500,
+07DA001,1,1996/06/21,1760,
+07DA001,1,1996/06/22,2300,
+07DA001,1,1996/06/23,2840,
+07DA001,1,1996/06/24,2890,
+07DA001,1,1996/06/25,2490,
+07DA001,1,1996/06/26,2200,
+07DA001,1,1996/06/27,2050,
+07DA001,1,1996/06/28,1970,
+07DA001,1,1996/06/29,1880,
+07DA001,1,1996/06/30,1780,
+07DA001,1,1996/07/01,1690,
+07DA001,1,1996/07/02,1650,
+07DA001,1,1996/07/03,1620,
+07DA001,1,1996/07/04,1640,
+07DA001,1,1996/07/05,1650,
+07DA001,1,1996/07/06,1650,
+07DA001,1,1996/07/07,1720,
+07DA001,1,1996/07/08,1910,
+07DA001,1,1996/07/09,2080,
+07DA001,1,1996/07/10,2060,
+07DA001,1,1996/07/11,1980,
+07DA001,1,1996/07/12,1890,
+07DA001,1,1996/07/13,1800,
+07DA001,1,1996/07/14,1790,
+07DA001,1,1996/07/15,1820,
+07DA001,1,1996/07/16,1780,
+07DA001,1,1996/07/17,1680,
+07DA001,1,1996/07/18,1610,
+07DA001,1,1996/07/19,1650,
+07DA001,1,1996/07/20,1800,
+07DA001,1,1996/07/21,1870,
+07DA001,1,1996/07/22,1990,
+07DA001,1,1996/07/23,2030,
+07DA001,1,1996/07/24,2010,
+07DA001,1,1996/07/25,1930,
+07DA001,1,1996/07/26,1840,
+07DA001,1,1996/07/27,1720,
+07DA001,1,1996/07/28,1600,
+07DA001,1,1996/07/29,1520,
+07DA001,1,1996/07/30,1470,
+07DA001,1,1996/07/31,1420,
+07DA001,1,1996/08/01,1370,
+07DA001,1,1996/08/02,1330,
+07DA001,1,1996/08/03,1290,
+07DA001,1,1996/08/04,1330,
+07DA001,1,1996/08/05,1560,
+07DA001,1,1996/08/06,1890,
+07DA001,1,1996/08/07,2190,
+07DA001,1,1996/08/08,2220,
+07DA001,1,1996/08/09,2100,
+07DA001,1,1996/08/10,2030,
+07DA001,1,1996/08/11,1900,
+07DA001,1,1996/08/12,1760,
+07DA001,1,1996/08/13,1700,
+07DA001,1,1996/08/14,1620,
+07DA001,1,1996/08/15,1610,
+07DA001,1,1996/08/16,1650,
+07DA001,1,1996/08/17,1660,
+07DA001,1,1996/08/18,1670,
+07DA001,1,1996/08/19,1660,
+07DA001,1,1996/08/20,1770,
+07DA001,1,1996/08/21,1800,
+07DA001,1,1996/08/22,1710,
+07DA001,1,1996/08/23,1610,
+07DA001,1,1996/08/24,1490,
+07DA001,1,1996/08/25,1380,
+07DA001,1,1996/08/26,1290,
+07DA001,1,1996/08/27,1220,
+07DA001,1,1996/08/28,1140,
+07DA001,1,1996/08/29,1080,
+07DA001,1,1996/08/30,1040,
+07DA001,1,1996/08/31,1010,
+07DA001,1,1996/09/01,986,
+07DA001,1,1996/09/02,973,
+07DA001,1,1996/09/03,955,
+07DA001,1,1996/09/04,946,
+07DA001,1,1996/09/05,970,
+07DA001,1,1996/09/06,1060,
+07DA001,1,1996/09/07,1130,
+07DA001,1,1996/09/08,1100,
+07DA001,1,1996/09/09,1080,
+07DA001,1,1996/09/10,1070,
+07DA001,1,1996/09/11,1050,
+07DA001,1,1996/09/12,1030,
+07DA001,1,1996/09/13,1000,
+07DA001,1,1996/09/14,979,
+07DA001,1,1996/09/15,954,
+07DA001,1,1996/09/16,943,
+07DA001,1,1996/09/17,924,
+07DA001,1,1996/09/18,910,
+07DA001,1,1996/09/19,916,
+07DA001,1,1996/09/20,933,
+07DA001,1,1996/09/21,952,
+07DA001,1,1996/09/22,965,
+07DA001,1,1996/09/23,955,
+07DA001,1,1996/09/24,971,
+07DA001,1,1996/09/25,1060,
+07DA001,1,1996/09/26,1120,
+07DA001,1,1996/09/27,1140,
+07DA001,1,1996/09/28,1120,
+07DA001,1,1996/09/29,1100,
+07DA001,1,1996/09/30,1060,
+07DA001,1,1996/10/01,1030,
+07DA001,1,1996/10/02,997,
+07DA001,1,1996/10/03,977,
+07DA001,1,1996/10/04,970,
+07DA001,1,1996/10/05,982,
+07DA001,1,1996/10/06,987,
+07DA001,1,1996/10/07,972,
+07DA001,1,1996/10/08,955,
+07DA001,1,1996/10/09,930,
+07DA001,1,1996/10/10,912,
+07DA001,1,1996/10/11,894,
+07DA001,1,1996/10/12,892,
+07DA001,1,1996/10/13,893,
+07DA001,1,1996/10/14,862,
+07DA001,1,1996/10/15,841,
+07DA001,1,1996/10/16,842,
+07DA001,1,1996/10/17,846,
+07DA001,1,1996/10/18,836,
+07DA001,1,1996/10/19,833,
+07DA001,1,1996/10/20,829,
+07DA001,1,1996/10/21,812,
+07DA001,1,1996/10/22,795,
+07DA001,1,1996/10/23,783,
+07DA001,1,1996/10/24,767,A
+07DA001,1,1996/10/25,696,E
+07DA001,1,1996/10/26,676,E
+07DA001,1,1996/10/27,657,E
+07DA001,1,1996/10/28,632,E
+07DA001,1,1996/10/29,606,B
+07DA001,1,1996/10/30,589,B
+07DA001,1,1996/10/31,570,B
+07DA001,1,1996/11/01,557,B
+07DA001,1,1996/11/02,544,B
+07DA001,1,1996/11/03,531,B
+07DA001,1,1996/11/04,510,B
+07DA001,1,1996/11/05,489,B
+07DA001,1,1996/11/06,478,B
+07DA001,1,1996/11/07,494,B
+07DA001,1,1996/11/08,481,B
+07DA001,1,1996/11/09,470,B
+07DA001,1,1996/11/10,458,B
+07DA001,1,1996/11/11,447,B
+07DA001,1,1996/11/12,422,B
+07DA001,1,1996/11/13,393,B
+07DA001,1,1996/11/14,365,B
+07DA001,1,1996/11/15,338,B
+07DA001,1,1996/11/16,312,B
+07DA001,1,1996/11/17,289,B
+07DA001,1,1996/11/18,271,B
+07DA001,1,1996/11/19,266,B
+07DA001,1,1996/11/20,247,B
+07DA001,1,1996/11/21,239,B
+07DA001,1,1996/11/22,275,B
+07DA001,1,1996/11/23,308,B
+07DA001,1,1996/11/24,344,B
+07DA001,1,1996/11/25,314,B
+07DA001,1,1996/11/26,313,B
+07DA001,1,1996/11/27,275,B
+07DA001,1,1996/11/28,268,B
+07DA001,1,1996/11/29,261,B
+07DA001,1,1996/11/30,280,B
+07DA001,1,1996/12/01,289,B
+07DA001,1,1996/12/02,296,B
+07DA001,1,1996/12/03,303,B
+07DA001,1,1996/12/04,311,B
+07DA001,1,1996/12/05,315,B
+07DA001,1,1996/12/06,318,B
+07DA001,1,1996/12/07,314,B
+07DA001,1,1996/12/08,306,B
+07DA001,1,1996/12/09,298,B
+07DA001,1,1996/12/10,292,B
+07DA001,1,1996/12/11,284,B
+07DA001,1,1996/12/12,280,B
+07DA001,1,1996/12/13,278,B
+07DA001,1,1996/12/14,276,B
+07DA001,1,1996/12/15,278,B
+07DA001,1,1996/12/16,279,B
+07DA001,1,1996/12/17,280,B
+07DA001,1,1996/12/18,281,B
+07DA001,1,1996/12/19,281,B
+07DA001,1,1996/12/20,278,B
+07DA001,1,1996/12/21,282,B
+07DA001,1,1996/12/22,285,B
+07DA001,1,1996/12/23,277,B
+07DA001,1,1996/12/24,279,B
+07DA001,1,1996/12/25,276,B
+07DA001,1,1996/12/26,273,B
+07DA001,1,1996/12/27,271,B
+07DA001,1,1996/12/28,268,B
+07DA001,1,1996/12/29,266,B
+07DA001,1,1996/12/30,262,B
+07DA001,1,1996/12/31,258,B
+07DA001,1,1997/01/01,256,B
+07DA001,1,1997/01/02,258,B
+07DA001,1,1997/01/03,260,B
+07DA001,1,1997/01/04,263,B
+07DA001,1,1997/01/05,266,B
+07DA001,1,1997/01/06,269,B
+07DA001,1,1997/01/07,270,B
+07DA001,1,1997/01/08,272,B
+07DA001,1,1997/01/09,273,B
+07DA001,1,1997/01/10,274,B
+07DA001,1,1997/01/11,273,B
+07DA001,1,1997/01/12,272,B
+07DA001,1,1997/01/13,271,B
+07DA001,1,1997/01/14,272,B
+07DA001,1,1997/01/15,274,B
+07DA001,1,1997/01/16,269,B
+07DA001,1,1997/01/17,268,B
+07DA001,1,1997/01/18,269,B
+07DA001,1,1997/01/19,266,B
+07DA001,1,1997/01/20,263,B
+07DA001,1,1997/01/21,259,B
+07DA001,1,1997/01/22,258,B
+07DA001,1,1997/01/23,256,B
+07DA001,1,1997/01/24,254,B
+07DA001,1,1997/01/25,252,B
+07DA001,1,1997/01/26,250,B
+07DA001,1,1997/01/27,248,B
+07DA001,1,1997/01/28,245,B
+07DA001,1,1997/01/29,243,B
+07DA001,1,1997/01/30,240,B
+07DA001,1,1997/01/31,239,B
+07DA001,1,1997/02/01,237,B
+07DA001,1,1997/02/02,232,B
+07DA001,1,1997/02/03,231,B
+07DA001,1,1997/02/04,231,B
+07DA001,1,1997/02/05,231,B
+07DA001,1,1997/02/06,234,B
+07DA001,1,1997/02/07,236,B
+07DA001,1,1997/02/08,239,B
+07DA001,1,1997/02/09,240,B
+07DA001,1,1997/02/10,238,B
+07DA001,1,1997/02/11,238,B
+07DA001,1,1997/02/12,237,B
+07DA001,1,1997/02/13,236,B
+07DA001,1,1997/02/14,236,B
+07DA001,1,1997/02/15,234,B
+07DA001,1,1997/02/16,235,B
+07DA001,1,1997/02/17,234,B
+07DA001,1,1997/02/18,233,B
+07DA001,1,1997/02/19,231,B
+07DA001,1,1997/02/20,231,B
+07DA001,1,1997/02/21,231,B
+07DA001,1,1997/02/22,229,B
+07DA001,1,1997/02/23,229,B
+07DA001,1,1997/02/24,228,B
+07DA001,1,1997/02/25,230,B
+07DA001,1,1997/02/26,228,B
+07DA001,1,1997/02/27,228,B
+07DA001,1,1997/02/28,230,B
+07DA001,1,1997/03/01,231,B
+07DA001,1,1997/03/02,231,B
+07DA001,1,1997/03/03,233,B
+07DA001,1,1997/03/04,232,B
+07DA001,1,1997/03/05,230,B
+07DA001,1,1997/03/06,228,B
+07DA001,1,1997/03/07,222,B
+07DA001,1,1997/03/08,219,B
+07DA001,1,1997/03/09,216,B
+07DA001,1,1997/03/10,213,B
+07DA001,1,1997/03/11,211,B
+07DA001,1,1997/03/12,215,B
+07DA001,1,1997/03/13,220,B
+07DA001,1,1997/03/14,223,B
+07DA001,1,1997/03/15,223,B
+07DA001,1,1997/03/16,222,B
+07DA001,1,1997/03/17,222,B
+07DA001,1,1997/03/18,219,B
+07DA001,1,1997/03/19,219,B
+07DA001,1,1997/03/20,220,B
+07DA001,1,1997/03/21,218,B
+07DA001,1,1997/03/22,217,B
+07DA001,1,1997/03/23,219,B
+07DA001,1,1997/03/24,224,B
+07DA001,1,1997/03/25,228,B
+07DA001,1,1997/03/26,234,B
+07DA001,1,1997/03/27,237,B
+07DA001,1,1997/03/28,244,B
+07DA001,1,1997/03/29,255,B
+07DA001,1,1997/03/30,264,B
+07DA001,1,1997/03/31,271,B
+07DA001,1,1997/04/01,276,B
+07DA001,1,1997/04/02,281,B
+07DA001,1,1997/04/03,291,B
+07DA001,1,1997/04/04,301,B
+07DA001,1,1997/04/05,311,B
+07DA001,1,1997/04/06,333,B
+07DA001,1,1997/04/07,357,B
+07DA001,1,1997/04/08,382,B
+07DA001,1,1997/04/09,400,B
+07DA001,1,1997/04/10,410,B
+07DA001,1,1997/04/11,410,B
+07DA001,1,1997/04/12,446,B
+07DA001,1,1997/04/13,491,B
+07DA001,1,1997/04/14,539,B
+07DA001,1,1997/04/15,601,B
+07DA001,1,1997/04/16,681,B
+07DA001,1,1997/04/17,786,B
+07DA001,1,1997/04/18,910,B
+07DA001,1,1997/04/19,1070,B
+07DA001,1,1997/04/20,1180,B
+07DA001,1,1997/04/21,1430,B
+07DA001,1,1997/04/22,1580,B
+07DA001,1,1997/04/23,1790,B
+07DA001,1,1997/04/24,2080,B
+07DA001,1,1997/04/25,2350,B
+07DA001,1,1997/04/26,2260,B
+07DA001,1,1997/04/27,2170,B
+07DA001,1,1997/04/28,2230,B
+07DA001,1,1997/04/29,2290,B
+07DA001,1,1997/04/30,2230,E
+07DA001,1,1997/05/01,2160,E
+07DA001,1,1997/05/02,2100,E
+07DA001,1,1997/05/03,2020,E
+07DA001,1,1997/05/04,1940,E
+07DA001,1,1997/05/05,1890,E
+07DA001,1,1997/05/06,1850,E
+07DA001,1,1997/05/07,1830,E
+07DA001,1,1997/05/08,1810,E
+07DA001,1,1997/05/09,1780,E
+07DA001,1,1997/05/10,1720,E
+07DA001,1,1997/05/11,1670,E
+07DA001,1,1997/05/12,1630,E
+07DA001,1,1997/05/13,1570,E
+07DA001,1,1997/05/14,1520,
+07DA001,1,1997/05/15,1470,
+07DA001,1,1997/05/16,1410,
+07DA001,1,1997/05/17,1370,
+07DA001,1,1997/05/18,1360,
+07DA001,1,1997/05/19,1390,
+07DA001,1,1997/05/20,1410,
+07DA001,1,1997/05/21,1480,
+07DA001,1,1997/05/22,1580,
+07DA001,1,1997/05/23,1640,
+07DA001,1,1997/05/24,1650,
+07DA001,1,1997/05/25,1680,
+07DA001,1,1997/05/26,1690,
+07DA001,1,1997/05/27,1660,
+07DA001,1,1997/05/28,1630,
+07DA001,1,1997/05/29,1600,
+07DA001,1,1997/05/30,1580,
+07DA001,1,1997/05/31,1580,
+07DA001,1,1997/06/01,1640,
+07DA001,1,1997/06/02,1840,
+07DA001,1,1997/06/03,1970,
+07DA001,1,1997/06/04,1990,
+07DA001,1,1997/06/05,2080,
+07DA001,1,1997/06/06,2190,
+07DA001,1,1997/06/07,2140,
+07DA001,1,1997/06/08,2010,
+07DA001,1,1997/06/09,1970,
+07DA001,1,1997/06/10,2030,
+07DA001,1,1997/06/11,2020,
+07DA001,1,1997/06/12,1960,
+07DA001,1,1997/06/13,1860,
+07DA001,1,1997/06/14,1780,
+07DA001,1,1997/06/15,1700,
+07DA001,1,1997/06/16,1670,
+07DA001,1,1997/06/17,1730,
+07DA001,1,1997/06/18,1760,
+07DA001,1,1997/06/19,1800,
+07DA001,1,1997/06/20,1930,
+07DA001,1,1997/06/21,2090,
+07DA001,1,1997/06/22,2210,
+07DA001,1,1997/06/23,2210,
+07DA001,1,1997/06/24,2250,
+07DA001,1,1997/06/25,2330,
+07DA001,1,1997/06/26,2620,
+07DA001,1,1997/06/27,3460,
+07DA001,1,1997/06/28,3900,
+07DA001,1,1997/06/29,3780,
+07DA001,1,1997/06/30,3490,
+07DA001,1,1997/07/01,3210,
+07DA001,1,1997/07/02,2910,
+07DA001,1,1997/07/03,2610,
+07DA001,1,1997/07/04,2370,
+07DA001,1,1997/07/05,2190,
+07DA001,1,1997/07/06,2080,
+07DA001,1,1997/07/07,2010,
+07DA001,1,1997/07/08,1950,
+07DA001,1,1997/07/09,1880,
+07DA001,1,1997/07/10,1850,
+07DA001,1,1997/07/11,1860,
+07DA001,1,1997/07/12,1870,
+07DA001,1,1997/07/13,1800,
+07DA001,1,1997/07/14,1830,
+07DA001,1,1997/07/15,2580,
+07DA001,1,1997/07/16,3240,
+07DA001,1,1997/07/17,3340,
+07DA001,1,1997/07/18,3170,
+07DA001,1,1997/07/19,2830,
+07DA001,1,1997/07/20,2530,
+07DA001,1,1997/07/21,2300,
+07DA001,1,1997/07/22,2120,
+07DA001,1,1997/07/23,1940,
+07DA001,1,1997/07/24,1790,
+07DA001,1,1997/07/25,1680,
+07DA001,1,1997/07/26,1650,
+07DA001,1,1997/07/27,1670,
+07DA001,1,1997/07/28,1650,
+07DA001,1,1997/07/29,1570,
+07DA001,1,1997/07/30,1480,
+07DA001,1,1997/07/31,1420,
+07DA001,1,1997/08/01,1360,
+07DA001,1,1997/08/02,1300,
+07DA001,1,1997/08/03,1260,
+07DA001,1,1997/08/04,1250,
+07DA001,1,1997/08/05,1280,
+07DA001,1,1997/08/06,1280,
+07DA001,1,1997/08/07,1250,
+07DA001,1,1997/08/08,1200,
+07DA001,1,1997/08/09,1160,
+07DA001,1,1997/08/10,1140,
+07DA001,1,1997/08/11,1140,
+07DA001,1,1997/08/12,1160,
+07DA001,1,1997/08/13,1200,
+07DA001,1,1997/08/14,1200,
+07DA001,1,1997/08/15,1180,
+07DA001,1,1997/08/16,1160,
+07DA001,1,1997/08/17,1160,
+07DA001,1,1997/08/18,1170,
+07DA001,1,1997/08/19,1190,
+07DA001,1,1997/08/20,1270,
+07DA001,1,1997/08/21,1480,
+07DA001,1,1997/08/22,1440,
+07DA001,1,1997/08/23,1340,
+07DA001,1,1997/08/24,1280,
+07DA001,1,1997/08/25,1240,
+07DA001,1,1997/08/26,1190,
+07DA001,1,1997/08/27,1150,
+07DA001,1,1997/08/28,1130,
+07DA001,1,1997/08/29,1110,
+07DA001,1,1997/08/30,1090,
+07DA001,1,1997/08/31,1050,
+07DA001,1,1997/09/01,1000,
+07DA001,1,1997/09/02,972,
+07DA001,1,1997/09/03,952,
+07DA001,1,1997/09/04,929,
+07DA001,1,1997/09/05,907,
+07DA001,1,1997/09/06,898,
+07DA001,1,1997/09/07,903,
+07DA001,1,1997/09/08,919,
+07DA001,1,1997/09/09,951,
+07DA001,1,1997/09/10,986,
+07DA001,1,1997/09/11,998,
+07DA001,1,1997/09/12,1010,
+07DA001,1,1997/09/13,1060,
+07DA001,1,1997/09/14,1040,
+07DA001,1,1997/09/15,1040,
+07DA001,1,1997/09/16,1080,
+07DA001,1,1997/09/17,1120,
+07DA001,1,1997/09/18,1160,
+07DA001,1,1997/09/19,1190,
+07DA001,1,1997/09/20,1180,
+07DA001,1,1997/09/21,1180,
+07DA001,1,1997/09/22,1180,
+07DA001,1,1997/09/23,1160,
+07DA001,1,1997/09/24,1140,
+07DA001,1,1997/09/25,1100,
+07DA001,1,1997/09/26,1060,
+07DA001,1,1997/09/27,1030,
+07DA001,1,1997/09/28,1040,
+07DA001,1,1997/09/29,1090,
+07DA001,1,1997/09/30,1120,
+07DA001,1,1997/10/01,1130,
+07DA001,1,1997/10/02,1140,
+07DA001,1,1997/10/03,1130,
+07DA001,1,1997/10/04,1130,
+07DA001,1,1997/10/05,1090,
+07DA001,1,1997/10/06,1060,
+07DA001,1,1997/10/07,1160,
+07DA001,1,1997/10/08,1270,
+07DA001,1,1997/10/09,1240,
+07DA001,1,1997/10/10,1170,
+07DA001,1,1997/10/11,1110,
+07DA001,1,1997/10/12,1080,
+07DA001,1,1997/10/13,1040,
+07DA001,1,1997/10/14,1010,
+07DA001,1,1997/10/15,982,
+07DA001,1,1997/10/16,965,
+07DA001,1,1997/10/17,957,
+07DA001,1,1997/10/18,953,
+07DA001,1,1997/10/19,945,
+07DA001,1,1997/10/20,925,
+07DA001,1,1997/10/21,914,
+07DA001,1,1997/10/22,914,
+07DA001,1,1997/10/23,955,
+07DA001,1,1997/10/24,1070,
+07DA001,1,1997/10/25,1060,
+07DA001,1,1997/10/26,1020,
+07DA001,1,1997/10/27,996,
+07DA001,1,1997/10/28,982,
+07DA001,1,1997/10/29,955,
+07DA001,1,1997/10/30,929,
+07DA001,1,1997/10/31,922,
+07DA001,1,1997/11/01,910,
+07DA001,1,1997/11/02,895,
+07DA001,1,1997/11/03,888,
+07DA001,1,1997/11/04,885,
+07DA001,1,1997/11/05,876,
+07DA001,1,1997/11/06,863,
+07DA001,1,1997/11/07,835,
+07DA001,1,1997/11/08,791,
+07DA001,1,1997/11/09,750,
+07DA001,1,1997/11/10,713,
+07DA001,1,1997/11/11,684,
+07DA001,1,1997/11/12,662,
+07DA001,1,1997/11/13,640,
+07DA001,1,1997/11/14,627,
+07DA001,1,1997/11/15,624,
+07DA001,1,1997/11/16,615,B
+07DA001,1,1997/11/17,604,B
+07DA001,1,1997/11/18,567,B
+07DA001,1,1997/11/19,506,B
+07DA001,1,1997/11/20,486,B
+07DA001,1,1997/11/21,444,B
+07DA001,1,1997/11/22,466,B
+07DA001,1,1997/11/23,423,B
+07DA001,1,1997/11/24,452,B
+07DA001,1,1997/11/25,469,B
+07DA001,1,1997/11/26,478,B
+07DA001,1,1997/11/27,457,B
+07DA001,1,1997/11/28,463,B
+07DA001,1,1997/11/29,483,B
+07DA001,1,1997/11/30,503,B
+07DA001,1,1997/12/01,493,B
+07DA001,1,1997/12/02,485,B
+07DA001,1,1997/12/03,498,B
+07DA001,1,1997/12/04,489,B
+07DA001,1,1997/12/05,446,B
+07DA001,1,1997/12/06,426,B
+07DA001,1,1997/12/07,407,B
+07DA001,1,1997/12/08,378,B
+07DA001,1,1997/12/09,357,B
+07DA001,1,1997/12/10,334,B
+07DA001,1,1997/12/11,289,B
+07DA001,1,1997/12/12,281,B
+07DA001,1,1997/12/13,303,B
+07DA001,1,1997/12/14,339,B
+07DA001,1,1997/12/15,318,B
+07DA001,1,1997/12/16,300,B
+07DA001,1,1997/12/17,276,B
+07DA001,1,1997/12/18,280,B
+07DA001,1,1997/12/19,302,B
+07DA001,1,1997/12/20,292,B
+07DA001,1,1997/12/21,279,B
+07DA001,1,1997/12/22,293,B
+07DA001,1,1997/12/23,284,B
+07DA001,1,1997/12/24,327,B
+07DA001,1,1997/12/25,345,B
+07DA001,1,1997/12/26,350,B
+07DA001,1,1997/12/27,352,B
+07DA001,1,1997/12/28,357,B
+07DA001,1,1997/12/29,363,B
+07DA001,1,1997/12/30,349,B
+07DA001,1,1997/12/31,349,B
+07DA001,1,1998/01/01,343,B
+07DA001,1,1998/01/02,321,B
+07DA001,1,1998/01/03,302,B
+07DA001,1,1998/01/04,306,B
+07DA001,1,1998/01/05,298,B
+07DA001,1,1998/01/06,285,B
+07DA001,1,1998/01/07,280,B
+07DA001,1,1998/01/08,275,B
+07DA001,1,1998/01/09,276,B
+07DA001,1,1998/01/10,264,B
+07DA001,1,1998/01/11,252,B
+07DA001,1,1998/01/12,249,B
+07DA001,1,1998/01/13,243,B
+07DA001,1,1998/01/14,235,B
+07DA001,1,1998/01/15,230,B
+07DA001,1,1998/01/16,224,B
+07DA001,1,1998/01/17,220,B
+07DA001,1,1998/01/18,215,B
+07DA001,1,1998/01/19,213,B
+07DA001,1,1998/01/20,224,B
+07DA001,1,1998/01/21,238,B
+07DA001,1,1998/01/22,246,B
+07DA001,1,1998/01/23,248,B
+07DA001,1,1998/01/24,248,B
+07DA001,1,1998/01/25,244,B
+07DA001,1,1998/01/26,247,B
+07DA001,1,1998/01/27,249,B
+07DA001,1,1998/01/28,255,B
+07DA001,1,1998/01/29,260,B
+07DA001,1,1998/01/30,265,B
+07DA001,1,1998/01/31,269,B
+07DA001,1,1998/02/01,270,B
+07DA001,1,1998/02/02,271,B
+07DA001,1,1998/02/03,273,B
+07DA001,1,1998/02/04,275,B
+07DA001,1,1998/02/05,277,B
+07DA001,1,1998/02/06,278,B
+07DA001,1,1998/02/07,278,B
+07DA001,1,1998/02/08,276,B
+07DA001,1,1998/02/09,274,B
+07DA001,1,1998/02/10,275,B
+07DA001,1,1998/02/11,275,B
+07DA001,1,1998/02/12,272,B
+07DA001,1,1998/02/13,269,B
+07DA001,1,1998/02/14,267,B
+07DA001,1,1998/02/15,264,B
+07DA001,1,1998/02/16,262,B
+07DA001,1,1998/02/17,263,B
+07DA001,1,1998/02/18,263,B
+07DA001,1,1998/02/19,263,B
+07DA001,1,1998/02/20,262,B
+07DA001,1,1998/02/21,261,B
+07DA001,1,1998/02/22,260,B
+07DA001,1,1998/02/23,261,B
+07DA001,1,1998/02/24,254,B
+07DA001,1,1998/02/25,256,B
+07DA001,1,1998/02/26,254,B
+07DA001,1,1998/02/27,255,B
+07DA001,1,1998/02/28,252,B
+07DA001,1,1998/03/01,250,B
+07DA001,1,1998/03/02,247,B
+07DA001,1,1998/03/03,246,B
+07DA001,1,1998/03/04,247,B
+07DA001,1,1998/03/05,248,B
+07DA001,1,1998/03/06,246,B
+07DA001,1,1998/03/07,242,B
+07DA001,1,1998/03/08,238,B
+07DA001,1,1998/03/09,234,B
+07DA001,1,1998/03/10,232,B
+07DA001,1,1998/03/11,230,B
+07DA001,1,1998/03/12,228,B
+07DA001,1,1998/03/13,226,B
+07DA001,1,1998/03/14,223,B
+07DA001,1,1998/03/15,220,B
+07DA001,1,1998/03/16,216,B
+07DA001,1,1998/03/17,215,B
+07DA001,1,1998/03/18,223,B
+07DA001,1,1998/03/19,227,B
+07DA001,1,1998/03/20,224,B
+07DA001,1,1998/03/21,225,B
+07DA001,1,1998/03/22,233,B
+07DA001,1,1998/03/23,240,B
+07DA001,1,1998/03/24,244,B
+07DA001,1,1998/03/25,247,B
+07DA001,1,1998/03/26,252,B
+07DA001,1,1998/03/27,261,B
+07DA001,1,1998/03/28,263,B
+07DA001,1,1998/03/29,266,B
+07DA001,1,1998/03/30,273,B
+07DA001,1,1998/03/31,279,B
+07DA001,1,1998/04/01,280,B
+07DA001,1,1998/04/02,284,B
+07DA001,1,1998/04/03,293,B
+07DA001,1,1998/04/04,312,B
+07DA001,1,1998/04/05,328,B
+07DA001,1,1998/04/06,352,B
+07DA001,1,1998/04/07,387,B
+07DA001,1,1998/04/08,398,B
+07DA001,1,1998/04/09,437,B
+07DA001,1,1998/04/10,470,B
+07DA001,1,1998/04/11,530,B
+07DA001,1,1998/04/12,584,B
+07DA001,1,1998/04/13,653,B
+07DA001,1,1998/04/14,903,B
+07DA001,1,1998/04/15,1190,B
+07DA001,1,1998/04/16,1260,
+07DA001,1,1998/04/17,1110,
+07DA001,1,1998/04/18,946,
+07DA001,1,1998/04/19,809,B
+07DA001,1,1998/04/20,725,
+07DA001,1,1998/04/21,728,
+07DA001,1,1998/04/22,687,
+07DA001,1,1998/04/23,629,
+07DA001,1,1998/04/24,615,
+07DA001,1,1998/04/25,594,
+07DA001,1,1998/04/26,594,
+07DA001,1,1998/04/27,594,
+07DA001,1,1998/04/28,587,
+07DA001,1,1998/04/29,581,
+07DA001,1,1998/04/30,583,
+07DA001,1,1998/05/01,587,
+07DA001,1,1998/05/02,594,
+07DA001,1,1998/05/03,603,
+07DA001,1,1998/05/04,594,
+07DA001,1,1998/05/05,590,
+07DA001,1,1998/05/06,585,
+07DA001,1,1998/05/07,587,
+07DA001,1,1998/05/08,597,
+07DA001,1,1998/05/09,611,
+07DA001,1,1998/05/10,648,
+07DA001,1,1998/05/11,683,
+07DA001,1,1998/05/12,689,
+07DA001,1,1998/05/13,689,
+07DA001,1,1998/05/14,703,
+07DA001,1,1998/05/15,716,
+07DA001,1,1998/05/16,712,
+07DA001,1,1998/05/17,704,
+07DA001,1,1998/05/18,712,
+07DA001,1,1998/05/19,736,
+07DA001,1,1998/05/20,774,
+07DA001,1,1998/05/21,805,
+07DA001,1,1998/05/22,893,
+07DA001,1,1998/05/23,899,
+07DA001,1,1998/05/24,850,
+07DA001,1,1998/05/25,821,
+07DA001,1,1998/05/26,840,
+07DA001,1,1998/05/27,863,
+07DA001,1,1998/05/28,856,
+07DA001,1,1998/05/29,850,
+07DA001,1,1998/05/30,870,
+07DA001,1,1998/05/31,902,
+07DA001,1,1998/06/01,925,
+07DA001,1,1998/06/02,944,
+07DA001,1,1998/06/03,979,
+07DA001,1,1998/06/04,956,
+07DA001,1,1998/06/05,929,
+07DA001,1,1998/06/06,914,
+07DA001,1,1998/06/07,906,
+07DA001,1,1998/06/08,873,
+07DA001,1,1998/06/09,820,
+07DA001,1,1998/06/10,779,
+07DA001,1,1998/06/11,749,
+07DA001,1,1998/06/12,711,
+07DA001,1,1998/06/13,686,
+07DA001,1,1998/06/14,681,
+07DA001,1,1998/06/15,679,
+07DA001,1,1998/06/16,678,
+07DA001,1,1998/06/17,704,
+07DA001,1,1998/06/18,738,
+07DA001,1,1998/06/19,733,
+07DA001,1,1998/06/20,709,
+07DA001,1,1998/06/21,693,
+07DA001,1,1998/06/22,788,
+07DA001,1,1998/06/23,856,
+07DA001,1,1998/06/24,920,
+07DA001,1,1998/06/25,991,
+07DA001,1,1998/06/26,960,
+07DA001,1,1998/06/27,976,
+07DA001,1,1998/06/28,983,
+07DA001,1,1998/06/29,1010,
+07DA001,1,1998/06/30,1030,
+07DA001,1,1998/07/01,1040,
+07DA001,1,1998/07/02,1030,
+07DA001,1,1998/07/03,1080,
+07DA001,1,1998/07/04,1600,
+07DA001,1,1998/07/05,1760,
+07DA001,1,1998/07/06,1780,A
+07DA001,1,1998/07/07,1730,
+07DA001,1,1998/07/08,1550,
+07DA001,1,1998/07/09,1460,
+07DA001,1,1998/07/10,1440,
+07DA001,1,1998/07/11,1400,
+07DA001,1,1998/07/12,1390,
+07DA001,1,1998/07/13,1420,
+07DA001,1,1998/07/14,1450,
+07DA001,1,1998/07/15,1400,A
+07DA001,1,1998/07/16,1340,
+07DA001,1,1998/07/17,1320,
+07DA001,1,1998/07/18,1270,
+07DA001,1,1998/07/19,1220,
+07DA001,1,1998/07/20,1160,
+07DA001,1,1998/07/21,1140,
+07DA001,1,1998/07/22,1110,
+07DA001,1,1998/07/23,1090,
+07DA001,1,1998/07/24,1070,
+07DA001,1,1998/07/25,1040,
+07DA001,1,1998/07/26,1000,
+07DA001,1,1998/07/27,951,
+07DA001,1,1998/07/28,901,
+07DA001,1,1998/07/29,865,
+07DA001,1,1998/07/30,844,
+07DA001,1,1998/07/31,837,
+07DA001,1,1998/08/01,833,
+07DA001,1,1998/08/02,825,
+07DA001,1,1998/08/03,817,
+07DA001,1,1998/08/04,812,
+07DA001,1,1998/08/05,819,
+07DA001,1,1998/08/06,821,
+07DA001,1,1998/08/07,804,
+07DA001,1,1998/08/08,796,
+07DA001,1,1998/08/09,783,
+07DA001,1,1998/08/10,768,
+07DA001,1,1998/08/11,766,
+07DA001,1,1998/08/12,762,
+07DA001,1,1998/08/13,734,
+07DA001,1,1998/08/14,683,
+07DA001,1,1998/08/15,647,
+07DA001,1,1998/08/16,630,
+07DA001,1,1998/08/17,626,
+07DA001,1,1998/08/18,613,
+07DA001,1,1998/08/19,610,
+07DA001,1,1998/08/20,614,
+07DA001,1,1998/08/21,642,
+07DA001,1,1998/08/22,694,
+07DA001,1,1998/08/23,792,
+07DA001,1,1998/08/24,843,
+07DA001,1,1998/08/25,791,
+07DA001,1,1998/08/26,783,
+07DA001,1,1998/08/27,751,
+07DA001,1,1998/08/28,704,
+07DA001,1,1998/08/29,657,
+07DA001,1,1998/08/30,623,
+07DA001,1,1998/08/31,592,
+07DA001,1,1998/09/01,564,
+07DA001,1,1998/09/02,544,
+07DA001,1,1998/09/03,523,
+07DA001,1,1998/09/04,499,
+07DA001,1,1998/09/05,482,
+07DA001,1,1998/09/06,478,
+07DA001,1,1998/09/07,477,
+07DA001,1,1998/09/08,462,
+07DA001,1,1998/09/09,452,
+07DA001,1,1998/09/10,450,
+07DA001,1,1998/09/11,452,
+07DA001,1,1998/09/12,449,
+07DA001,1,1998/09/13,432,
+07DA001,1,1998/09/14,415,
+07DA001,1,1998/09/15,415,
+07DA001,1,1998/09/16,405,
+07DA001,1,1998/09/17,391,
+07DA001,1,1998/09/18,373,
+07DA001,1,1998/09/19,352,
+07DA001,1,1998/09/20,343,
+07DA001,1,1998/09/21,341,
+07DA001,1,1998/09/22,334,
+07DA001,1,1998/09/23,322,
+07DA001,1,1998/09/24,323,
+07DA001,1,1998/09/25,332,
+07DA001,1,1998/09/26,360,
+07DA001,1,1998/09/27,361,
+07DA001,1,1998/09/28,350,
+07DA001,1,1998/09/29,342,
+07DA001,1,1998/09/30,331,
+07DA001,1,1998/10/01,329,
+07DA001,1,1998/10/02,334,
+07DA001,1,1998/10/03,340,
+07DA001,1,1998/10/04,342,
+07DA001,1,1998/10/05,332,
+07DA001,1,1998/10/06,325,
+07DA001,1,1998/10/07,322,
+07DA001,1,1998/10/08,325,
+07DA001,1,1998/10/09,320,
+07DA001,1,1998/10/10,326,
+07DA001,1,1998/10/11,347,
+07DA001,1,1998/10/12,352,
+07DA001,1,1998/10/13,340,
+07DA001,1,1998/10/14,335,
+07DA001,1,1998/10/15,340,
+07DA001,1,1998/10/16,342,
+07DA001,1,1998/10/17,342,
+07DA001,1,1998/10/18,342,
+07DA001,1,1998/10/19,337,
+07DA001,1,1998/10/20,333,
+07DA001,1,1998/10/21,333,
+07DA001,1,1998/10/22,353,
+07DA001,1,1998/10/23,375,A
+07DA001,1,1998/10/24,376,
+07DA001,1,1998/10/25,388,
+07DA001,1,1998/10/26,392,
+07DA001,1,1998/10/27,382,
+07DA001,1,1998/10/28,377,
+07DA001,1,1998/10/29,370,
+07DA001,1,1998/10/30,363,
+07DA001,1,1998/10/31,356,
+07DA001,1,1998/11/01,325,
+07DA001,1,1998/11/02,325,
+07DA001,1,1998/11/03,317,
+07DA001,1,1998/11/04,314,
+07DA001,1,1998/11/05,307,
+07DA001,1,1998/11/06,302,
+07DA001,1,1998/11/07,296,
+07DA001,1,1998/11/08,282,
+07DA001,1,1998/11/09,276,
+07DA001,1,1998/11/10,265,
+07DA001,1,1998/11/11,254,
+07DA001,1,1998/11/12,249,B
+07DA001,1,1998/11/13,244,B
+07DA001,1,1998/11/14,239,B
+07DA001,1,1998/11/15,234,B
+07DA001,1,1998/11/16,229,B
+07DA001,1,1998/11/17,225,B
+07DA001,1,1998/11/18,220,B
+07DA001,1,1998/11/19,216,B
+07DA001,1,1998/11/20,211,B
+07DA001,1,1998/11/21,207,B
+07DA001,1,1998/11/22,203,B
+07DA001,1,1998/11/23,199,B
+07DA001,1,1998/11/24,195,B
+07DA001,1,1998/11/25,191,B
+07DA001,1,1998/11/26,187,B
+07DA001,1,1998/11/27,183,B
+07DA001,1,1998/11/28,180,B
+07DA001,1,1998/11/29,176,B
+07DA001,1,1998/11/30,172,B
+07DA001,1,1998/12/01,169,B
+07DA001,1,1998/12/02,166,B
+07DA001,1,1998/12/03,162,B
+07DA001,1,1998/12/04,159,B
+07DA001,1,1998/12/05,156,B
+07DA001,1,1998/12/06,153,B
+07DA001,1,1998/12/07,149,B
+07DA001,1,1998/12/08,146,B
+07DA001,1,1998/12/09,144,B
+07DA001,1,1998/12/10,141,B
+07DA001,1,1998/12/11,138,B
+07DA001,1,1998/12/12,135,B
+07DA001,1,1998/12/13,132,B
+07DA001,1,1998/12/14,130,B
+07DA001,1,1998/12/15,127,B
+07DA001,1,1998/12/16,125,B
+07DA001,1,1998/12/17,123,B
+07DA001,1,1998/12/18,121,B
+07DA001,1,1998/12/19,119,B
+07DA001,1,1998/12/20,117,B
+07DA001,1,1998/12/21,119,B
+07DA001,1,1998/12/22,122,B
+07DA001,1,1998/12/23,124,B
+07DA001,1,1998/12/24,122,B
+07DA001,1,1998/12/25,120,B
+07DA001,1,1998/12/26,125,B
+07DA001,1,1998/12/27,120,B
+07DA001,1,1998/12/28,115,B
+07DA001,1,1998/12/29,112,B
+07DA001,1,1998/12/30,107,B
+07DA001,1,1998/12/31,106,B
+07DA001,1,1999/01/01,104,B
+07DA001,1,1999/01/02,103,B
+07DA001,1,1999/01/03,101,B
+07DA001,1,1999/01/04,103,B
+07DA001,1,1999/01/05,105,B
+07DA001,1,1999/01/06,108,B
+07DA001,1,1999/01/07,109,B
+07DA001,1,1999/01/08,110,B
+07DA001,1,1999/01/09,111,B
+07DA001,1,1999/01/10,113,B
+07DA001,1,1999/01/11,115,B
+07DA001,1,1999/01/12,117,B
+07DA001,1,1999/01/13,118,B
+07DA001,1,1999/01/14,119,B
+07DA001,1,1999/01/15,118,B
+07DA001,1,1999/01/16,117,B
+07DA001,1,1999/01/17,119,B
+07DA001,1,1999/01/18,116,B
+07DA001,1,1999/01/19,114,B
+07DA001,1,1999/01/20,113,B
+07DA001,1,1999/01/21,112,B
+07DA001,1,1999/01/22,113,B
+07DA001,1,1999/01/23,114,B
+07DA001,1,1999/01/24,116,B
+07DA001,1,1999/01/25,119,B
+07DA001,1,1999/01/26,120,B
+07DA001,1,1999/01/27,122,B
+07DA001,1,1999/01/28,123,B
+07DA001,1,1999/01/29,124,B
+07DA001,1,1999/01/30,125,B
+07DA001,1,1999/01/31,126,B
+07DA001,1,1999/02/01,126,B
+07DA001,1,1999/02/02,125,B
+07DA001,1,1999/02/03,124,B
+07DA001,1,1999/02/04,123,B
+07DA001,1,1999/02/05,124,B
+07DA001,1,1999/02/06,125,B
+07DA001,1,1999/02/07,125,B
+07DA001,1,1999/02/08,124,B
+07DA001,1,1999/02/09,118,B
+07DA001,1,1999/02/10,120,B
+07DA001,1,1999/02/11,117,B
+07DA001,1,1999/02/12,117,B
+07DA001,1,1999/02/13,117,B
+07DA001,1,1999/02/14,116,B
+07DA001,1,1999/02/15,116,B
+07DA001,1,1999/02/16,116,B
+07DA001,1,1999/02/17,116,B
+07DA001,1,1999/02/18,115,B
+07DA001,1,1999/02/19,115,B
+07DA001,1,1999/02/20,116,B
+07DA001,1,1999/02/21,116,B
+07DA001,1,1999/02/22,116,B
+07DA001,1,1999/02/23,116,B
+07DA001,1,1999/02/24,116,B
+07DA001,1,1999/02/25,116,B
+07DA001,1,1999/02/26,116,B
+07DA001,1,1999/02/27,116,B
+07DA001,1,1999/02/28,116,B
+07DA001,1,1999/03/01,116,B
+07DA001,1,1999/03/02,116,B
+07DA001,1,1999/03/03,117,B
+07DA001,1,1999/03/04,117,B
+07DA001,1,1999/03/05,117,B
+07DA001,1,1999/03/06,118,B
+07DA001,1,1999/03/07,118,B
+07DA001,1,1999/03/08,119,B
+07DA001,1,1999/03/09,119,B
+07DA001,1,1999/03/10,120,B
+07DA001,1,1999/03/11,120,B
+07DA001,1,1999/03/12,122,B
+07DA001,1,1999/03/13,123,B
+07DA001,1,1999/03/14,125,B
+07DA001,1,1999/03/15,124,B
+07DA001,1,1999/03/16,130,B
+07DA001,1,1999/03/17,126,B
+07DA001,1,1999/03/18,125,B
+07DA001,1,1999/03/19,127,B
+07DA001,1,1999/03/20,127,B
+07DA001,1,1999/03/21,130,B
+07DA001,1,1999/03/22,131,B
+07DA001,1,1999/03/23,137,B
+07DA001,1,1999/03/24,140,B
+07DA001,1,1999/03/25,144,B
+07DA001,1,1999/03/26,148,B
+07DA001,1,1999/03/27,155,B
+07DA001,1,1999/03/28,159,B
+07DA001,1,1999/03/29,162,B
+07DA001,1,1999/03/30,164,B
+07DA001,1,1999/03/31,176,B
+07DA001,1,1999/04/01,170,B
+07DA001,1,1999/04/02,190,B
+07DA001,1,1999/04/03,199,B
+07DA001,1,1999/04/04,206,B
+07DA001,1,1999/04/05,222,B
+07DA001,1,1999/04/06,217,B
+07DA001,1,1999/04/07,217,B
+07DA001,1,1999/04/08,214,B
+07DA001,1,1999/04/09,206,B
+07DA001,1,1999/04/10,203,B
+07DA001,1,1999/04/11,211,B
+07DA001,1,1999/04/12,223,B
+07DA001,1,1999/04/13,229,B
+07DA001,1,1999/04/14,270,B
+07DA001,1,1999/04/15,337,B
+07DA001,1,1999/04/16,372,B
+07DA001,1,1999/04/17,332,B
+07DA001,1,1999/04/18,392,B
+07DA001,1,1999/04/19,414,B
+07DA001,1,1999/04/20,823,B
+07DA001,1,1999/04/21,671,B
+07DA001,1,1999/04/22,695,
+07DA001,1,1999/04/23,944,
+07DA001,1,1999/04/24,993,
+07DA001,1,1999/04/25,976,
+07DA001,1,1999/04/26,995,
+07DA001,1,1999/04/27,984,
+07DA001,1,1999/04/28,923,
+07DA001,1,1999/04/29,919,
+07DA001,1,1999/04/30,911,
+07DA001,1,1999/05/01,895,
+07DA001,1,1999/05/02,870,
+07DA001,1,1999/05/03,817,
+07DA001,1,1999/05/04,785,
+07DA001,1,1999/05/05,778,
+07DA001,1,1999/05/06,973,
+07DA001,1,1999/05/07,1170,
+07DA001,1,1999/05/08,1160,
+07DA001,1,1999/05/09,1070,
+07DA001,1,1999/05/10,961,
+07DA001,1,1999/05/11,869,
+07DA001,1,1999/05/12,802,
+07DA001,1,1999/05/13,768,
+07DA001,1,1999/05/14,752,
+07DA001,1,1999/05/15,726,
+07DA001,1,1999/05/16,704,
+07DA001,1,1999/05/17,684,
+07DA001,1,1999/05/18,661,
+07DA001,1,1999/05/19,656,
+07DA001,1,1999/05/20,682,
+07DA001,1,1999/05/21,686,
+07DA001,1,1999/05/22,688,
+07DA001,1,1999/05/23,754,
+07DA001,1,1999/05/24,862,
+07DA001,1,1999/05/25,849,
+07DA001,1,1999/05/26,802,
+07DA001,1,1999/05/27,752,
+07DA001,1,1999/05/28,708,
+07DA001,1,1999/05/29,681,
+07DA001,1,1999/05/30,692,
+07DA001,1,1999/05/31,802,
+07DA001,1,1999/06/01,855,
+07DA001,1,1999/06/02,809,
+07DA001,1,1999/06/03,754,
+07DA001,1,1999/06/04,714,
+07DA001,1,1999/06/05,665,
+07DA001,1,1999/06/06,629,
+07DA001,1,1999/06/07,603,
+07DA001,1,1999/06/08,597,
+07DA001,1,1999/06/09,611,
+07DA001,1,1999/06/10,648,
+07DA001,1,1999/06/11,702,
+07DA001,1,1999/06/12,772,
+07DA001,1,1999/06/13,748,
+07DA001,1,1999/06/14,688,
+07DA001,1,1999/06/15,636,
+07DA001,1,1999/06/16,603,
+07DA001,1,1999/06/17,575,
+07DA001,1,1999/06/18,551,
+07DA001,1,1999/06/19,565,
+07DA001,1,1999/06/20,648,
+07DA001,1,1999/06/21,911,
+07DA001,1,1999/06/22,1170,
+07DA001,1,1999/06/23,1290,
+07DA001,1,1999/06/24,1310,
+07DA001,1,1999/06/25,1240,
+07DA001,1,1999/06/26,1120,
+07DA001,1,1999/06/27,1010,
+07DA001,1,1999/06/28,928,
+07DA001,1,1999/06/29,850,
+07DA001,1,1999/06/30,796,
+07DA001,1,1999/07/01,774,
+07DA001,1,1999/07/02,765,
+07DA001,1,1999/07/03,756,
+07DA001,1,1999/07/04,755,
+07DA001,1,1999/07/05,741,
+07DA001,1,1999/07/06,734,
+07DA001,1,1999/07/07,1470,
+07DA001,1,1999/07/08,2040,
+07DA001,1,1999/07/09,1770,
+07DA001,1,1999/07/10,1580,
+07DA001,1,1999/07/11,1610,
+07DA001,1,1999/07/12,1960,
+07DA001,1,1999/07/13,1940,
+07DA001,1,1999/07/14,1750,
+07DA001,1,1999/07/15,1620,
+07DA001,1,1999/07/16,1510,
+07DA001,1,1999/07/17,1430,
+07DA001,1,1999/07/18,1380,
+07DA001,1,1999/07/19,1570,
+07DA001,1,1999/07/20,1640,
+07DA001,1,1999/07/21,1450,
+07DA001,1,1999/07/22,1320,
+07DA001,1,1999/07/23,1190,
+07DA001,1,1999/07/24,1090,
+07DA001,1,1999/07/25,1030,
+07DA001,1,1999/07/26,990,
+07DA001,1,1999/07/27,971,
+07DA001,1,1999/07/28,969,
+07DA001,1,1999/07/29,994,
+07DA001,1,1999/07/30,1000,
+07DA001,1,1999/07/31,926,
+07DA001,1,1999/08/01,838,
+07DA001,1,1999/08/02,802,
+07DA001,1,1999/08/03,848,
+07DA001,1,1999/08/04,928,
+07DA001,1,1999/08/05,886,
+07DA001,1,1999/08/06,782,
+07DA001,1,1999/08/07,703,
+07DA001,1,1999/08/08,650,
+07DA001,1,1999/08/09,631,
+07DA001,1,1999/08/10,649,
+07DA001,1,1999/08/11,702,
+07DA001,1,1999/08/12,735,
+07DA001,1,1999/08/13,756,
+07DA001,1,1999/08/14,770,
+07DA001,1,1999/08/15,746,
+07DA001,1,1999/08/16,728,
+07DA001,1,1999/08/17,732,
+07DA001,1,1999/08/18,757,
+07DA001,1,1999/08/19,762,
+07DA001,1,1999/08/20,721,
+07DA001,1,1999/08/21,690,
+07DA001,1,1999/08/22,729,
+07DA001,1,1999/08/23,702,
+07DA001,1,1999/08/24,649,
+07DA001,1,1999/08/25,623,
+07DA001,1,1999/08/26,623,
+07DA001,1,1999/08/27,609,
+07DA001,1,1999/08/28,594,
+07DA001,1,1999/08/29,562,
+07DA001,1,1999/08/30,540,
+07DA001,1,1999/08/31,552,
+07DA001,1,1999/09/01,708,
+07DA001,1,1999/09/02,682,
+07DA001,1,1999/09/03,617,
+07DA001,1,1999/09/04,582,
+07DA001,1,1999/09/05,598,
+07DA001,1,1999/09/06,656,
+07DA001,1,1999/09/07,652,
+07DA001,1,1999/09/08,614,
+07DA001,1,1999/09/09,568,
+07DA001,1,1999/09/10,538,
+07DA001,1,1999/09/11,520,
+07DA001,1,1999/09/12,505,
+07DA001,1,1999/09/13,498,
+07DA001,1,1999/09/14,484,
+07DA001,1,1999/09/15,461,
+07DA001,1,1999/09/16,441,
+07DA001,1,1999/09/17,432,
+07DA001,1,1999/09/18,424,
+07DA001,1,1999/09/19,405,
+07DA001,1,1999/09/20,389,
+07DA001,1,1999/09/21,376,
+07DA001,1,1999/09/22,368,
+07DA001,1,1999/09/23,363,
+07DA001,1,1999/09/24,357,
+07DA001,1,1999/09/25,351,
+07DA001,1,1999/09/26,347,
+07DA001,1,1999/09/27,340,
+07DA001,1,1999/09/28,342,
+07DA001,1,1999/09/29,355,
+07DA001,1,1999/09/30,354,
+07DA001,1,1999/10/01,361,
+07DA001,1,1999/10/02,361,
+07DA001,1,1999/10/03,343,
+07DA001,1,1999/10/04,332,
+07DA001,1,1999/10/05,325,
+07DA001,1,1999/10/06,314,
+07DA001,1,1999/10/07,310,A
+07DA001,1,1999/10/08,295,E
+07DA001,1,1999/10/09,292,E
+07DA001,1,1999/10/10,289,E
+07DA001,1,1999/10/11,285,E
+07DA001,1,1999/10/12,282,E
+07DA001,1,1999/10/13,279,E
+07DA001,1,1999/10/14,276,E
+07DA001,1,1999/10/15,273,E
+07DA001,1,1999/10/16,270,E
+07DA001,1,1999/10/17,267,E
+07DA001,1,1999/10/18,264,A
+07DA001,1,1999/10/19,258,A
+07DA001,1,1999/10/20,256,
+07DA001,1,1999/10/21,247,
+07DA001,1,1999/10/22,238,
+07DA001,1,1999/10/23,238,
+07DA001,1,1999/10/24,234,
+07DA001,1,1999/10/25,230,
+07DA001,1,1999/10/26,228,
+07DA001,1,1999/10/27,228,
+07DA001,1,1999/10/28,222,
+07DA001,1,1999/10/29,219,
+07DA001,1,1999/10/30,223,
+07DA001,1,1999/10/31,225,
+07DA001,1,1999/11/01,223,
+07DA001,1,1999/11/02,217,
+07DA001,1,1999/11/03,218,
+07DA001,1,1999/11/04,219,
+07DA001,1,1999/11/05,200,
+07DA001,1,1999/11/06,189,
+07DA001,1,1999/11/07,185,
+07DA001,1,1999/11/08,182,
+07DA001,1,1999/11/09,173,
+07DA001,1,1999/11/10,184,
+07DA001,1,1999/11/11,176,
+07DA001,1,1999/11/12,182,
+07DA001,1,1999/11/13,174,
+07DA001,1,1999/11/14,157,
+07DA001,1,1999/11/15,151,B
+07DA001,1,1999/11/16,152,B
+07DA001,1,1999/11/17,125,B
+07DA001,1,1999/11/18,136,B
+07DA001,1,1999/11/19,111,B
+07DA001,1,1999/11/20,116,B
+07DA001,1,1999/11/21,132,B
+07DA001,1,1999/11/22,127,B
+07DA001,1,1999/11/23,127,B
+07DA001,1,1999/11/24,123,B
+07DA001,1,1999/11/25,107,B
+07DA001,1,1999/11/26,105,B
+07DA001,1,1999/11/27,100,B
+07DA001,1,1999/11/28,95.0,B
+07DA001,1,1999/11/29,122,B
+07DA001,1,1999/11/30,127,B
+07DA001,1,1999/12/01,117,B
+07DA001,1,1999/12/02,114,B
+07DA001,1,1999/12/03,109,B
+07DA001,1,1999/12/04,118,B
+07DA001,1,1999/12/05,102,B
+07DA001,1,1999/12/06,107,B
+07DA001,1,1999/12/07,103,B
+07DA001,1,1999/12/08,97.1,B
+07DA001,1,1999/12/09,114,B
+07DA001,1,1999/12/10,124,B
+07DA001,1,1999/12/11,115,B
+07DA001,1,1999/12/12,105,B
+07DA001,1,1999/12/13,109,B
+07DA001,1,1999/12/14,107,B
+07DA001,1,1999/12/15,111,B
+07DA001,1,1999/12/16,111,B
+07DA001,1,1999/12/17,112,B
+07DA001,1,1999/12/18,113,B
+07DA001,1,1999/12/19,110,B
+07DA001,1,1999/12/20,109,B
+07DA001,1,1999/12/21,105,B
+07DA001,1,1999/12/22,104,B
+07DA001,1,1999/12/23,109,B
+07DA001,1,1999/12/24,108,B
+07DA001,1,1999/12/25,110,B
+07DA001,1,1999/12/26,108,B
+07DA001,1,1999/12/27,107,B
+07DA001,1,1999/12/28,105,B
+07DA001,1,1999/12/29,106,B
+07DA001,1,1999/12/30,122,B
+07DA001,1,1999/12/31,125,B
+07DA001,1,2000/01/01,122,B
+07DA001,1,2000/01/02,119,B
+07DA001,1,2000/01/03,113,B
+07DA001,1,2000/01/04,113,B
+07DA001,1,2000/01/05,114,B
+07DA001,1,2000/01/06,113,B
+07DA001,1,2000/01/07,111,B
+07DA001,1,2000/01/08,112,B
+07DA001,1,2000/01/09,116,B
+07DA001,1,2000/01/10,114,B
+07DA001,1,2000/01/11,106,B
+07DA001,1,2000/01/12,101,B
+07DA001,1,2000/01/13,99.0,B
+07DA001,1,2000/01/14,95.9,B
+07DA001,1,2000/01/15,91.4,B
+07DA001,1,2000/01/16,89.0,B
+07DA001,1,2000/01/17,90.0,B
+07DA001,1,2000/01/18,92.7,B
+07DA001,1,2000/01/19,97.9,B
+07DA001,1,2000/01/20,106,B
+07DA001,1,2000/01/21,109,B
+07DA001,1,2000/01/22,109,B
+07DA001,1,2000/01/23,108,B
+07DA001,1,2000/01/24,106,B
+07DA001,1,2000/01/25,103,B
+07DA001,1,2000/01/26,101,B
+07DA001,1,2000/01/27,99.0,B
+07DA001,1,2000/01/28,97.6,B
+07DA001,1,2000/01/29,96.1,B
+07DA001,1,2000/01/30,96.3,B
+07DA001,1,2000/01/31,98.5,B
+07DA001,1,2000/02/01,106,B
+07DA001,1,2000/02/02,112,B
+07DA001,1,2000/02/03,115,B
+07DA001,1,2000/02/04,115,B
+07DA001,1,2000/02/05,116,B
+07DA001,1,2000/02/06,117,B
+07DA001,1,2000/02/07,117,B
+07DA001,1,2000/02/08,116,B
+07DA001,1,2000/02/09,116,B
+07DA001,1,2000/02/10,116,B
+07DA001,1,2000/02/11,116,B
+07DA001,1,2000/02/12,116,B
+07DA001,1,2000/02/13,115,B
+07DA001,1,2000/02/14,113,B
+07DA001,1,2000/02/15,113,B
+07DA001,1,2000/02/16,112,B
+07DA001,1,2000/02/17,111,B
+07DA001,1,2000/02/18,111,B
+07DA001,1,2000/02/19,110,B
+07DA001,1,2000/02/20,109,B
+07DA001,1,2000/02/21,111,B
+07DA001,1,2000/02/22,111,B
+07DA001,1,2000/02/23,110,B
+07DA001,1,2000/02/24,111,B
+07DA001,1,2000/02/25,110,B
+07DA001,1,2000/02/26,110,B
+07DA001,1,2000/02/27,112,B
+07DA001,1,2000/02/28,113,B
+07DA001,1,2000/02/29,114,B
+07DA001,1,2000/03/01,114,B
+07DA001,1,2000/03/02,114,B
+07DA001,1,2000/03/03,115,B
+07DA001,1,2000/03/04,116,B
+07DA001,1,2000/03/05,118,B
+07DA001,1,2000/03/06,119,B
+07DA001,1,2000/03/07,120,B
+07DA001,1,2000/03/08,122,B
+07DA001,1,2000/03/09,121,B
+07DA001,1,2000/03/10,117,B
+07DA001,1,2000/03/11,114,B
+07DA001,1,2000/03/12,111,B
+07DA001,1,2000/03/13,109,B
+07DA001,1,2000/03/14,110,B
+07DA001,1,2000/03/15,108,B
+07DA001,1,2000/03/16,107,B
+07DA001,1,2000/03/17,105,B
+07DA001,1,2000/03/18,102,B
+07DA001,1,2000/03/19,103,B
+07DA001,1,2000/03/20,103,B
+07DA001,1,2000/03/21,103,B
+07DA001,1,2000/03/22,103,B
+07DA001,1,2000/03/23,104,B
+07DA001,1,2000/03/24,106,B
+07DA001,1,2000/03/25,107,B
+07DA001,1,2000/03/26,107,B
+07DA001,1,2000/03/27,110,B
+07DA001,1,2000/03/28,112,B
+07DA001,1,2000/03/29,115,B
+07DA001,1,2000/03/30,117,B
+07DA001,1,2000/03/31,122,B
+07DA001,1,2000/04/01,130,B
+07DA001,1,2000/04/02,131,B
+07DA001,1,2000/04/03,131,B
+07DA001,1,2000/04/04,136,B
+07DA001,1,2000/04/05,146,B
+07DA001,1,2000/04/06,147,B
+07DA001,1,2000/04/07,152,B
+07DA001,1,2000/04/08,156,B
+07DA001,1,2000/04/09,161,B
+07DA001,1,2000/04/10,167,B
+07DA001,1,2000/04/11,170,B
+07DA001,1,2000/04/12,172,B
+07DA001,1,2000/04/13,169,B
+07DA001,1,2000/04/14,173,B
+07DA001,1,2000/04/15,176,B
+07DA001,1,2000/04/16,172,B
+07DA001,1,2000/04/17,166,B
+07DA001,1,2000/04/18,174,B
+07DA001,1,2000/04/19,181,B
+07DA001,1,2000/04/20,193,B
+07DA001,1,2000/04/21,203,B
+07DA001,1,2000/04/22,212,B
+07DA001,1,2000/04/23,250,B
+07DA001,1,2000/04/24,292,E
+07DA001,1,2000/04/25,344,E
+07DA001,1,2000/04/26,480,E
+07DA001,1,2000/04/27,500,E
+07DA001,1,2000/04/28,470,E
+07DA001,1,2000/04/29,430,E
+07DA001,1,2000/04/30,406,E
+07DA001,1,2000/05/01,380,A
+07DA001,1,2000/05/02,356,A
+07DA001,1,2000/05/03,337,
+07DA001,1,2000/05/04,324,
+07DA001,1,2000/05/05,324,
+07DA001,1,2000/05/06,330,
+07DA001,1,2000/05/07,337,
+07DA001,1,2000/05/08,341,
+07DA001,1,2000/05/09,343,
+07DA001,1,2000/05/10,393,
+07DA001,1,2000/05/11,440,
+07DA001,1,2000/05/12,427,
+07DA001,1,2000/05/13,408,
+07DA001,1,2000/05/14,391,
+07DA001,1,2000/05/15,399,
+07DA001,1,2000/05/16,450,
+07DA001,1,2000/05/17,561,
+07DA001,1,2000/05/18,578,
+07DA001,1,2000/05/19,586,
+07DA001,1,2000/05/20,597,
+07DA001,1,2000/05/21,594,
+07DA001,1,2000/05/22,611,
+07DA001,1,2000/05/23,625,
+07DA001,1,2000/05/24,640,
+07DA001,1,2000/05/25,640,
+07DA001,1,2000/05/26,632,
+07DA001,1,2000/05/27,618,
+07DA001,1,2000/05/28,598,
+07DA001,1,2000/05/29,610,
+07DA001,1,2000/05/30,596,
+07DA001,1,2000/05/31,554,
+07DA001,1,2000/06/01,526,
+07DA001,1,2000/06/02,508,
+07DA001,1,2000/06/03,508,
+07DA001,1,2000/06/04,545,
+07DA001,1,2000/06/05,559,
+07DA001,1,2000/06/06,536,
+07DA001,1,2000/06/07,521,
+07DA001,1,2000/06/08,508,
+07DA001,1,2000/06/09,514,
+07DA001,1,2000/06/10,548,
+07DA001,1,2000/06/11,639,
+07DA001,1,2000/06/12,779,
+07DA001,1,2000/06/13,919,
+07DA001,1,2000/06/14,1050,
+07DA001,1,2000/06/15,1370,
+07DA001,1,2000/06/16,1550,
+07DA001,1,2000/06/17,1460,
+07DA001,1,2000/06/18,1310,
+07DA001,1,2000/06/19,1230,
+07DA001,1,2000/06/20,1210,
+07DA001,1,2000/06/21,1200,
+07DA001,1,2000/06/22,1140,
+07DA001,1,2000/06/23,1110,
+07DA001,1,2000/06/24,1130,
+07DA001,1,2000/06/25,1120,
+07DA001,1,2000/06/26,1040,
+07DA001,1,2000/06/27,960,
+07DA001,1,2000/06/28,928,
+07DA001,1,2000/06/29,883,
+07DA001,1,2000/06/30,862,
+07DA001,1,2000/07/01,866,
+07DA001,1,2000/07/02,886,
+07DA001,1,2000/07/03,944,
+07DA001,1,2000/07/04,1030,
+07DA001,1,2000/07/05,1170,
+07DA001,1,2000/07/06,1250,
+07DA001,1,2000/07/07,1310,
+07DA001,1,2000/07/08,1300,
+07DA001,1,2000/07/09,1200,
+07DA001,1,2000/07/10,1150,
+07DA001,1,2000/07/11,1180,
+07DA001,1,2000/07/12,1220,
+07DA001,1,2000/07/13,1230,
+07DA001,1,2000/07/14,1310,
+07DA001,1,2000/07/15,1500,
+07DA001,1,2000/07/16,1550,
+07DA001,1,2000/07/17,1480,
+07DA001,1,2000/07/18,1450,
+07DA001,1,2000/07/19,1420,
+07DA001,1,2000/07/20,1360,
+07DA001,1,2000/07/21,1270,
+07DA001,1,2000/07/22,1190,
+07DA001,1,2000/07/23,1150,
+07DA001,1,2000/07/24,1140,
+07DA001,1,2000/07/25,1130,
+07DA001,1,2000/07/26,1210,
+07DA001,1,2000/07/27,1540,
+07DA001,1,2000/07/28,1780,
+07DA001,1,2000/07/29,1740,
+07DA001,1,2000/07/30,1560,
+07DA001,1,2000/07/31,1440,
+07DA001,1,2000/08/01,1310,
+07DA001,1,2000/08/02,1210,
+07DA001,1,2000/08/03,1180,
+07DA001,1,2000/08/04,1150,
+07DA001,1,2000/08/05,1080,
+07DA001,1,2000/08/06,1030,
+07DA001,1,2000/08/07,1020,
+07DA001,1,2000/08/08,972,
+07DA001,1,2000/08/09,907,
+07DA001,1,2000/08/10,862,
+07DA001,1,2000/08/11,840,
+07DA001,1,2000/08/12,858,
+07DA001,1,2000/08/13,875,
+07DA001,1,2000/08/14,855,
+07DA001,1,2000/08/15,830,
+07DA001,1,2000/08/16,839,
+07DA001,1,2000/08/17,848,
+07DA001,1,2000/08/18,815,
+07DA001,1,2000/08/19,769,
+07DA001,1,2000/08/20,728,
+07DA001,1,2000/08/21,679,
+07DA001,1,2000/08/22,640,
+07DA001,1,2000/08/23,612,
+07DA001,1,2000/08/24,586,
+07DA001,1,2000/08/25,568,
+07DA001,1,2000/08/26,574,
+07DA001,1,2000/08/27,576,
+07DA001,1,2000/08/28,569,
+07DA001,1,2000/08/29,551,
+07DA001,1,2000/08/30,537,
+07DA001,1,2000/08/31,559,
+07DA001,1,2000/09/01,583,
+07DA001,1,2000/09/02,593,
+07DA001,1,2000/09/03,596,
+07DA001,1,2000/09/04,571,
+07DA001,1,2000/09/05,561,
+07DA001,1,2000/09/06,582,
+07DA001,1,2000/09/07,684,
+07DA001,1,2000/09/08,894,
+07DA001,1,2000/09/09,959,
+07DA001,1,2000/09/10,899,
+07DA001,1,2000/09/11,818,
+07DA001,1,2000/09/12,759,
+07DA001,1,2000/09/13,710,
+07DA001,1,2000/09/14,671,
+07DA001,1,2000/09/15,658,
+07DA001,1,2000/09/16,635,
+07DA001,1,2000/09/17,604,
+07DA001,1,2000/09/18,576,
+07DA001,1,2000/09/19,550,
+07DA001,1,2000/09/20,528,
+07DA001,1,2000/09/21,509,
+07DA001,1,2000/09/22,497,
+07DA001,1,2000/09/23,510,
+07DA001,1,2000/09/24,522,
+07DA001,1,2000/09/25,554,
+07DA001,1,2000/09/26,552,
+07DA001,1,2000/09/27,525,
+07DA001,1,2000/09/28,503,
+07DA001,1,2000/09/29,479,
+07DA001,1,2000/09/30,465,
+07DA001,1,2000/10/01,458,
+07DA001,1,2000/10/02,449,
+07DA001,1,2000/10/03,438,
+07DA001,1,2000/10/04,432,
+07DA001,1,2000/10/05,428,
+07DA001,1,2000/10/06,415,
+07DA001,1,2000/10/07,411,
+07DA001,1,2000/10/08,420,
+07DA001,1,2000/10/09,421,
+07DA001,1,2000/10/10,407,
+07DA001,1,2000/10/11,390,
+07DA001,1,2000/10/12,377,
+07DA001,1,2000/10/13,370,
+07DA001,1,2000/10/14,366,
+07DA001,1,2000/10/15,365,
+07DA001,1,2000/10/16,362,
+07DA001,1,2000/10/17,358,
+07DA001,1,2000/10/18,355,
+07DA001,1,2000/10/19,354,
+07DA001,1,2000/10/20,348,
+07DA001,1,2000/10/21,351,
+07DA001,1,2000/10/22,351,
+07DA001,1,2000/10/23,351,
+07DA001,1,2000/10/24,349,
+07DA001,1,2000/10/25,342,
+07DA001,1,2000/10/26,335,
+07DA001,1,2000/10/27,336,
+07DA001,1,2000/10/28,337,
+07DA001,1,2000/10/29,331,
+07DA001,1,2000/10/30,328,
+07DA001,1,2000/10/31,319,
+07DA001,1,2000/11/01,314,
+07DA001,1,2000/11/02,312,
+07DA001,1,2000/11/03,308,
+07DA001,1,2000/11/04,319,
+07DA001,1,2000/11/05,310,
+07DA001,1,2000/11/06,292,
+07DA001,1,2000/11/07,276,
+07DA001,1,2000/11/08,247,
+07DA001,1,2000/11/09,221,B
+07DA001,1,2000/11/10,229,B
+07DA001,1,2000/11/11,208,B
+07DA001,1,2000/11/12,174,B
+07DA001,1,2000/11/13,172,B
+07DA001,1,2000/11/14,153,B
+07DA001,1,2000/11/15,163,B
+07DA001,1,2000/11/16,131,B
+07DA001,1,2000/11/17,142,B
+07DA001,1,2000/11/18,148,B
+07DA001,1,2000/11/19,132,B
+07DA001,1,2000/11/20,140,B
+07DA001,1,2000/11/21,138,B
+07DA001,1,2000/11/22,158,B
+07DA001,1,2000/11/23,133,B
+07DA001,1,2000/11/24,146,B
+07DA001,1,2000/11/25,139,B
+07DA001,1,2000/11/26,134,B
+07DA001,1,2000/11/27,163,B
+07DA001,1,2000/11/28,171,B
+07DA001,1,2000/11/29,171,B
+07DA001,1,2000/11/30,161,B
+07DA001,1,2000/12/01,152,B
+07DA001,1,2000/12/02,152,B
+07DA001,1,2000/12/03,148,B
+07DA001,1,2000/12/04,140,B
+07DA001,1,2000/12/05,124,B
+07DA001,1,2000/12/06,128,B
+07DA001,1,2000/12/07,140,B
+07DA001,1,2000/12/08,141,B
+07DA001,1,2000/12/09,129,B
+07DA001,1,2000/12/10,125,B
+07DA001,1,2000/12/11,117,B
+07DA001,1,2000/12/12,120,B
+07DA001,1,2000/12/13,123,B
+07DA001,1,2000/12/14,135,B
+07DA001,1,2000/12/15,157,B
+07DA001,1,2000/12/16,160,B
+07DA001,1,2000/12/17,153,B
+07DA001,1,2000/12/18,140,B
+07DA001,1,2000/12/19,137,B
+07DA001,1,2000/12/20,134,B
+07DA001,1,2000/12/21,126,B
+07DA001,1,2000/12/22,119,B
+07DA001,1,2000/12/23,111,B
+07DA001,1,2000/12/24,103,B
+07DA001,1,2000/12/25,98.8,B
+07DA001,1,2000/12/26,97.6,B
+07DA001,1,2000/12/27,95.0,B
+07DA001,1,2000/12/28,93.7,B
+07DA001,1,2000/12/29,108,B
+07DA001,1,2000/12/30,112,B
+07DA001,1,2000/12/31,117,B
+07DA001,1,2001/01/01,123,B
+07DA001,1,2001/01/02,131,B
+07DA001,1,2001/01/03,136,B
+07DA001,1,2001/01/04,140,B
+07DA001,1,2001/01/05,140,B
+07DA001,1,2001/01/06,143,B
+07DA001,1,2001/01/07,143,B
+07DA001,1,2001/01/08,147,B
+07DA001,1,2001/01/09,147,B
+07DA001,1,2001/01/10,148,B
+07DA001,1,2001/01/11,147,B
+07DA001,1,2001/01/12,149,B
+07DA001,1,2001/01/13,148,B
+07DA001,1,2001/01/14,148,B
+07DA001,1,2001/01/15,149,B
+07DA001,1,2001/01/16,148,B
+07DA001,1,2001/01/17,147,B
+07DA001,1,2001/01/18,144,B
+07DA001,1,2001/01/19,141,B
+07DA001,1,2001/01/20,137,B
+07DA001,1,2001/01/21,134,B
+07DA001,1,2001/01/22,134,B
+07DA001,1,2001/01/23,135,B
+07DA001,1,2001/01/24,133,B
+07DA001,1,2001/01/25,131,B
+07DA001,1,2001/01/26,128,B
+07DA001,1,2001/01/27,125,B
+07DA001,1,2001/01/28,122,B
+07DA001,1,2001/01/29,123,B
+07DA001,1,2001/01/30,120,B
+07DA001,1,2001/01/31,117,B
+07DA001,1,2001/02/01,114,B
+07DA001,1,2001/02/02,114,B
+07DA001,1,2001/02/03,115,B
+07DA001,1,2001/02/04,115,B
+07DA001,1,2001/02/05,108,B
+07DA001,1,2001/02/06,107,B
+07DA001,1,2001/02/07,109,B
+07DA001,1,2001/02/08,110,B
+07DA001,1,2001/02/09,111,B
+07DA001,1,2001/02/10,109,B
+07DA001,1,2001/02/11,107,B
+07DA001,1,2001/02/12,105,B
+07DA001,1,2001/02/13,104,B
+07DA001,1,2001/02/14,110,B
+07DA001,1,2001/02/15,112,B
+07DA001,1,2001/02/16,110,B
+07DA001,1,2001/02/17,109,B
+07DA001,1,2001/02/18,108,B
+07DA001,1,2001/02/19,107,B
+07DA001,1,2001/02/20,105,B
+07DA001,1,2001/02/21,103,B
+07DA001,1,2001/02/22,102,B
+07DA001,1,2001/02/23,102,B
+07DA001,1,2001/02/24,104,B
+07DA001,1,2001/02/25,105,B
+07DA001,1,2001/02/26,104,B
+07DA001,1,2001/02/27,104,B
+07DA001,1,2001/02/28,103,B
+07DA001,1,2001/03/01,102,B
+07DA001,1,2001/03/02,102,B
+07DA001,1,2001/03/03,103,B
+07DA001,1,2001/03/04,106,B
+07DA001,1,2001/03/05,108,B
+07DA001,1,2001/03/06,110,B
+07DA001,1,2001/03/07,111,B
+07DA001,1,2001/03/08,111,B
+07DA001,1,2001/03/09,110,B
+07DA001,1,2001/03/10,111,B
+07DA001,1,2001/03/11,113,B
+07DA001,1,2001/03/12,117,B
+07DA001,1,2001/03/13,118,B
+07DA001,1,2001/03/14,119,B
+07DA001,1,2001/03/15,119,B
+07DA001,1,2001/03/16,120,B
+07DA001,1,2001/03/17,123,B
+07DA001,1,2001/03/18,126,B
+07DA001,1,2001/03/19,125,B
+07DA001,1,2001/03/20,125,B
+07DA001,1,2001/03/21,126,B
+07DA001,1,2001/03/22,126,B
+07DA001,1,2001/03/23,127,B
+07DA001,1,2001/03/24,127,B
+07DA001,1,2001/03/25,128,B
+07DA001,1,2001/03/26,129,B
+07DA001,1,2001/03/27,130,B
+07DA001,1,2001/03/28,132,B
+07DA001,1,2001/03/29,135,B
+07DA001,1,2001/03/30,131,B
+07DA001,1,2001/03/31,131,B
+07DA001,1,2001/04/01,131,B
+07DA001,1,2001/04/02,137,B
+07DA001,1,2001/04/03,142,B
+07DA001,1,2001/04/04,144,B
+07DA001,1,2001/04/05,147,B
+07DA001,1,2001/04/06,148,B
+07DA001,1,2001/04/07,149,B
+07DA001,1,2001/04/08,152,B
+07DA001,1,2001/04/09,156,B
+07DA001,1,2001/04/10,159,B
+07DA001,1,2001/04/11,162,B
+07DA001,1,2001/04/12,168,B
+07DA001,1,2001/04/13,173,B
+07DA001,1,2001/04/14,174,B
+07DA001,1,2001/04/15,172,B
+07DA001,1,2001/04/16,171,B
+07DA001,1,2001/04/17,173,B
+07DA001,1,2001/04/18,173,B
+07DA001,1,2001/04/19,177,B
+07DA001,1,2001/04/20,182,B
+07DA001,1,2001/04/21,190,B
+07DA001,1,2001/04/22,203,B
+07DA001,1,2001/04/23,211,B
+07DA001,1,2001/04/24,216,B
+07DA001,1,2001/04/25,250,B
+07DA001,1,2001/04/26,256,B
+07DA001,1,2001/04/27,274,B
+07DA001,1,2001/04/28,285,E
+07DA001,1,2001/04/29,324,E
+07DA001,1,2001/04/30,402,E
+07DA001,1,2001/05/01,416,E
+07DA001,1,2001/05/02,421,E
+07DA001,1,2001/05/03,457,E
+07DA001,1,2001/05/04,510,E
+07DA001,1,2001/05/05,515,E
+07DA001,1,2001/05/06,520,E
+07DA001,1,2001/05/07,515,E
+07DA001,1,2001/05/08,509,A
+07DA001,1,2001/05/09,491,
+07DA001,1,2001/05/10,467,
+07DA001,1,2001/05/11,450,
+07DA001,1,2001/05/12,433,
+07DA001,1,2001/05/13,418,
+07DA001,1,2001/05/14,406,
+07DA001,1,2001/05/15,400,
+07DA001,1,2001/05/16,409,
+07DA001,1,2001/05/17,419,
+07DA001,1,2001/05/18,420,
+07DA001,1,2001/05/19,417,
+07DA001,1,2001/05/20,415,
+07DA001,1,2001/05/21,409,
+07DA001,1,2001/05/22,422,
+07DA001,1,2001/05/23,448,
+07DA001,1,2001/05/24,432,
+07DA001,1,2001/05/25,417,
+07DA001,1,2001/05/26,400,
+07DA001,1,2001/05/27,381,
+07DA001,1,2001/05/28,365,
+07DA001,1,2001/05/29,354,
+07DA001,1,2001/05/30,345,
+07DA001,1,2001/05/31,423,
+07DA001,1,2001/06/01,675,
+07DA001,1,2001/06/02,741,
+07DA001,1,2001/06/03,855,
+07DA001,1,2001/06/04,941,
+07DA001,1,2001/06/05,854,
+07DA001,1,2001/06/06,731,
+07DA001,1,2001/06/07,652,
+07DA001,1,2001/06/08,694,
+07DA001,1,2001/06/09,745,
+07DA001,1,2001/06/10,672,
+07DA001,1,2001/06/11,633,
+07DA001,1,2001/06/12,655,
+07DA001,1,2001/06/13,712,
+07DA001,1,2001/06/14,729,
+07DA001,1,2001/06/15,737,
+07DA001,1,2001/06/16,738,
+07DA001,1,2001/06/17,714,
+07DA001,1,2001/06/18,666,
+07DA001,1,2001/06/19,628,
+07DA001,1,2001/06/20,624,
+07DA001,1,2001/06/21,649,
+07DA001,1,2001/06/22,662,
+07DA001,1,2001/06/23,683,
+07DA001,1,2001/06/24,691,
+07DA001,1,2001/06/25,682,
+07DA001,1,2001/06/26,657,
+07DA001,1,2001/06/27,693,
+07DA001,1,2001/06/28,839,
+07DA001,1,2001/06/29,961,
+07DA001,1,2001/06/30,1020,
+07DA001,1,2001/07/01,1020,
+07DA001,1,2001/07/02,1020,
+07DA001,1,2001/07/03,1010,
+07DA001,1,2001/07/04,971,
+07DA001,1,2001/07/05,972,
+07DA001,1,2001/07/06,968,
+07DA001,1,2001/07/07,943,
+07DA001,1,2001/07/08,896,
+07DA001,1,2001/07/09,843,
+07DA001,1,2001/07/10,797,
+07DA001,1,2001/07/11,798,
+07DA001,1,2001/07/12,787,
+07DA001,1,2001/07/13,734,
+07DA001,1,2001/07/14,680,
+07DA001,1,2001/07/15,678,
+07DA001,1,2001/07/16,687,
+07DA001,1,2001/07/17,699,
+07DA001,1,2001/07/18,721,
+07DA001,1,2001/07/19,716,
+07DA001,1,2001/07/20,721,
+07DA001,1,2001/07/21,741,
+07DA001,1,2001/07/22,905,
+07DA001,1,2001/07/23,1450,
+07DA001,1,2001/07/24,1670,
+07DA001,1,2001/07/25,1790,
+07DA001,1,2001/07/26,1750,
+07DA001,1,2001/07/27,1630,
+07DA001,1,2001/07/28,2040,
+07DA001,1,2001/07/29,2850,
+07DA001,1,2001/07/30,2820,
+07DA001,1,2001/07/31,2520,
+07DA001,1,2001/08/01,2570,
+07DA001,1,2001/08/02,2930,
+07DA001,1,2001/08/03,2810,
+07DA001,1,2001/08/04,2470,
+07DA001,1,2001/08/05,2170,
+07DA001,1,2001/08/06,1910,
+07DA001,1,2001/08/07,1710,
+07DA001,1,2001/08/08,1560,
+07DA001,1,2001/08/09,1470,
+07DA001,1,2001/08/10,1380,
+07DA001,1,2001/08/11,1250,
+07DA001,1,2001/08/12,1170,
+07DA001,1,2001/08/13,1110,
+07DA001,1,2001/08/14,1020,
+07DA001,1,2001/08/15,934,
+07DA001,1,2001/08/16,866,
+07DA001,1,2001/08/17,804,
+07DA001,1,2001/08/18,762,
+07DA001,1,2001/08/19,746,
+07DA001,1,2001/08/20,766,
+07DA001,1,2001/08/21,760,
+07DA001,1,2001/08/22,725,
+07DA001,1,2001/08/23,703,
+07DA001,1,2001/08/24,683,
+07DA001,1,2001/08/25,665,
+07DA001,1,2001/08/26,633,
+07DA001,1,2001/08/27,593,
+07DA001,1,2001/08/28,556,
+07DA001,1,2001/08/29,534,
+07DA001,1,2001/08/30,522,
+07DA001,1,2001/08/31,524,
+07DA001,1,2001/09/01,503,
+07DA001,1,2001/09/02,478,
+07DA001,1,2001/09/03,457,
+07DA001,1,2001/09/04,458,
+07DA001,1,2001/09/05,462,
+07DA001,1,2001/09/06,454,
+07DA001,1,2001/09/07,448,
+07DA001,1,2001/09/08,449,
+07DA001,1,2001/09/09,455,
+07DA001,1,2001/09/10,438,
+07DA001,1,2001/09/11,414,
+07DA001,1,2001/09/12,403,
+07DA001,1,2001/09/13,390,
+07DA001,1,2001/09/14,377,
+07DA001,1,2001/09/15,363,
+07DA001,1,2001/09/16,349,
+07DA001,1,2001/09/17,338,
+07DA001,1,2001/09/18,330,
+07DA001,1,2001/09/19,331,
+07DA001,1,2001/09/20,323,
+07DA001,1,2001/09/21,315,
+07DA001,1,2001/09/22,310,
+07DA001,1,2001/09/23,309,
+07DA001,1,2001/09/24,321,
+07DA001,1,2001/09/25,327,
+07DA001,1,2001/09/26,336,
+07DA001,1,2001/09/27,339,
+07DA001,1,2001/09/28,336,
+07DA001,1,2001/09/29,324,
+07DA001,1,2001/09/30,313,
+07DA001,1,2001/10/01,301,
+07DA001,1,2001/10/02,305,
+07DA001,1,2001/10/03,318,
+07DA001,1,2001/10/04,324,
+07DA001,1,2001/10/05,344,
+07DA001,1,2001/10/06,341,
+07DA001,1,2001/10/07,321,
+07DA001,1,2001/10/08,303,
+07DA001,1,2001/10/09,295,
+07DA001,1,2001/10/10,288,
+07DA001,1,2001/10/11,285,
+07DA001,1,2001/10/12,282,
+07DA001,1,2001/10/13,277,
+07DA001,1,2001/10/14,275,
+07DA001,1,2001/10/15,271,
+07DA001,1,2001/10/16,270,
+07DA001,1,2001/10/17,272,
+07DA001,1,2001/10/18,270,
+07DA001,1,2001/10/19,267,
+07DA001,1,2001/10/20,264,
+07DA001,1,2001/10/21,255,
+07DA001,1,2001/10/22,251,
+07DA001,1,2001/10/23,252,
+07DA001,1,2001/10/24,247,
+07DA001,1,2001/10/25,245,
+07DA001,1,2001/10/26,251,
+07DA001,1,2001/10/27,247,
+07DA001,1,2001/10/28,239,
+07DA001,1,2001/10/29,235,
+07DA001,1,2001/10/30,239,
+07DA001,1,2001/10/31,246,
+07DA001,1,2001/11/01,248,
+07DA001,1,2001/11/02,245,
+07DA001,1,2001/11/03,232,
+07DA001,1,2001/11/04,233,
+07DA001,1,2001/11/05,235,
+07DA001,1,2001/11/06,224,
+07DA001,1,2001/11/07,223,
+07DA001,1,2001/11/08,216,
+07DA001,1,2001/11/09,228,
+07DA001,1,2001/11/10,246,
+07DA001,1,2001/11/11,256,
+07DA001,1,2001/11/12,240,
+07DA001,1,2001/11/13,222,
+07DA001,1,2001/11/14,224,
+07DA001,1,2001/11/15,244,
+07DA001,1,2001/11/16,237,
+07DA001,1,2001/11/17,224,
+07DA001,1,2001/11/18,212,
+07DA001,1,2001/11/19,186,B
+07DA001,1,2001/11/20,201,B
+07DA001,1,2001/11/21,209,B
+07DA001,1,2001/11/22,195,B
+07DA001,1,2001/11/23,206,B
+07DA001,1,2001/11/24,188,B
+07DA001,1,2001/11/25,151,B
+07DA001,1,2001/11/26,138,B
+07DA001,1,2001/11/27,122,B
+07DA001,1,2001/11/28,110,B
+07DA001,1,2001/11/29,95.0,B
+07DA001,1,2001/11/30,84.0,B
+07DA001,1,2001/12/01,76.0,B
+07DA001,1,2001/12/02,75.0,B
+07DA001,1,2001/12/03,77.0,B
+07DA001,1,2001/12/04,80.0,B
+07DA001,1,2001/12/05,85.0,B
+07DA001,1,2001/12/06,90.0,B
+07DA001,1,2001/12/07,95.0,B
+07DA001,1,2001/12/08,97.0,B
+07DA001,1,2001/12/09,95.0,B
+07DA001,1,2001/12/10,90.0,B
+07DA001,1,2001/12/11,87.0,B
+07DA001,1,2001/12/12,85.0,B
+07DA001,1,2001/12/13,90.0,B
+07DA001,1,2001/12/14,95.0,B
+07DA001,1,2001/12/15,96.0,B
+07DA001,1,2001/12/16,98.0,B
+07DA001,1,2001/12/17,103,B
+07DA001,1,2001/12/18,117,B
+07DA001,1,2001/12/19,137,B
+07DA001,1,2001/12/20,142,B
+07DA001,1,2001/12/21,139,B
+07DA001,1,2001/12/22,135,B
+07DA001,1,2001/12/23,133,B
+07DA001,1,2001/12/24,131,B
+07DA001,1,2001/12/25,130,B
+07DA001,1,2001/12/26,130,B
+07DA001,1,2001/12/27,127,B
+07DA001,1,2001/12/28,128,B
+07DA001,1,2001/12/29,127,B
+07DA001,1,2001/12/30,124,B
+07DA001,1,2001/12/31,122,B
+07DA001,1,2002/01/01,120,B
+07DA001,1,2002/01/02,118,B
+07DA001,1,2002/01/03,117,B
+07DA001,1,2002/01/04,117,B
+07DA001,1,2002/01/05,115,B
+07DA001,1,2002/01/06,113,B
+07DA001,1,2002/01/07,110,B
+07DA001,1,2002/01/08,111,B
+07DA001,1,2002/01/09,114,B
+07DA001,1,2002/01/10,116,B
+07DA001,1,2002/01/11,117,B
+07DA001,1,2002/01/12,118,B
+07DA001,1,2002/01/13,119,B
+07DA001,1,2002/01/14,118,B
+07DA001,1,2002/01/15,120,B
+07DA001,1,2002/01/16,115,B
+07DA001,1,2002/01/17,118,B
+07DA001,1,2002/01/18,120,B
+07DA001,1,2002/01/19,119,B
+07DA001,1,2002/01/20,116,B
+07DA001,1,2002/01/21,116,B
+07DA001,1,2002/01/22,116,B
+07DA001,1,2002/01/23,116,B
+07DA001,1,2002/01/24,116,B
+07DA001,1,2002/01/25,112,B
+07DA001,1,2002/01/26,109,B
+07DA001,1,2002/01/27,108,B
+07DA001,1,2002/01/28,110,B
+07DA001,1,2002/01/29,109,B
+07DA001,1,2002/01/30,109,B
+07DA001,1,2002/01/31,109,B
+07DA001,1,2002/02/01,107,B
+07DA001,1,2002/02/02,102,B
+07DA001,1,2002/02/03,98.0,B
+07DA001,1,2002/02/04,99.0,B
+07DA001,1,2002/02/05,100,B
+07DA001,1,2002/02/06,105,B
+07DA001,1,2002/02/07,100,B
+07DA001,1,2002/02/08,92.0,B
+07DA001,1,2002/02/09,93.0,B
+07DA001,1,2002/02/10,95.0,B
+07DA001,1,2002/02/11,96.0,B
+07DA001,1,2002/02/12,98.0,B
+07DA001,1,2002/02/13,98.0,B
+07DA001,1,2002/02/14,99.0,B
+07DA001,1,2002/02/15,99.0,B
+07DA001,1,2002/02/16,99.0,B
+07DA001,1,2002/02/17,99.0,B
+07DA001,1,2002/02/18,99.0,B
+07DA001,1,2002/02/19,97.0,B
+07DA001,1,2002/02/20,97.0,B
+07DA001,1,2002/02/21,98.0,B
+07DA001,1,2002/02/22,99.0,B
+07DA001,1,2002/02/23,99.0,B
+07DA001,1,2002/02/24,99.0,B
+07DA001,1,2002/02/25,100,B
+07DA001,1,2002/02/26,101,B
+07DA001,1,2002/02/27,102,B
+07DA001,1,2002/02/28,103,B
+07DA001,1,2002/03/01,102,B
+07DA001,1,2002/03/02,102,B
+07DA001,1,2002/03/03,101,B
+07DA001,1,2002/03/04,100,B
+07DA001,1,2002/03/05,98.0,B
+07DA001,1,2002/03/06,96.0,B
+07DA001,1,2002/03/07,95.0,B
+07DA001,1,2002/03/08,96.0,B
+07DA001,1,2002/03/09,97.0,B
+07DA001,1,2002/03/10,99.0,B
+07DA001,1,2002/03/11,99.0,B
+07DA001,1,2002/03/12,100,B
+07DA001,1,2002/03/13,90.0,B
+07DA001,1,2002/03/14,84.0,B
+07DA001,1,2002/03/15,80.0,B
+07DA001,1,2002/03/16,91.0,B
+07DA001,1,2002/03/17,94.0,B
+07DA001,1,2002/03/18,99.0,B
+07DA001,1,2002/03/19,101,B
+07DA001,1,2002/03/20,102,B
+07DA001,1,2002/03/21,102,B
+07DA001,1,2002/03/22,103,B
+07DA001,1,2002/03/23,103,B
+07DA001,1,2002/03/24,102,B
+07DA001,1,2002/03/25,101,B
+07DA001,1,2002/03/26,99.0,B
+07DA001,1,2002/03/27,96.0,B
+07DA001,1,2002/03/28,96.0,B
+07DA001,1,2002/03/29,96.0,B
+07DA001,1,2002/03/30,96.0,B
+07DA001,1,2002/03/31,96.0,B
+07DA001,1,2002/04/01,96.0,B
+07DA001,1,2002/04/02,96.0,B
+07DA001,1,2002/04/03,98.0,B
+07DA001,1,2002/04/04,99.0,B
+07DA001,1,2002/04/05,100,B
+07DA001,1,2002/04/06,100,B
+07DA001,1,2002/04/07,101,B
+07DA001,1,2002/04/08,100,B
+07DA001,1,2002/04/09,100,B
+07DA001,1,2002/04/10,100,B
+07DA001,1,2002/04/11,100,B
+07DA001,1,2002/04/12,99.0,B
+07DA001,1,2002/04/13,97.0,B
+07DA001,1,2002/04/14,96.0,B
+07DA001,1,2002/04/15,96.0,B
+07DA001,1,2002/04/16,98.0,B
+07DA001,1,2002/04/17,103,B
+07DA001,1,2002/04/18,105,B
+07DA001,1,2002/04/19,108,B
+07DA001,1,2002/04/20,112,B
+07DA001,1,2002/04/21,116,B
+07DA001,1,2002/04/22,110,B
+07DA001,1,2002/04/23,117,B
+07DA001,1,2002/04/24,147,B
+07DA001,1,2002/04/25,181,B
+07DA001,1,2002/04/26,187,B
+07DA001,1,2002/04/27,188,B
+07DA001,1,2002/04/28,237,B
+07DA001,1,2002/04/29,273,B
+07DA001,1,2002/04/30,268,B
+07DA001,1,2002/05/01,250,B
+07DA001,1,2002/05/02,232,B
+07DA001,1,2002/05/03,233,B
+07DA001,1,2002/05/04,417,E
+07DA001,1,2002/05/05,497,E
+07DA001,1,2002/05/06,487,E
+07DA001,1,2002/05/07,600,E
+07DA001,1,2002/05/08,697,E
+07DA001,1,2002/05/09,655,E
+07DA001,1,2002/05/10,656,E
+07DA001,1,2002/05/11,508,E
+07DA001,1,2002/05/12,457,E
+07DA001,1,2002/05/13,414,E
+07DA001,1,2002/05/14,392,A
+07DA001,1,2002/05/15,391,
+07DA001,1,2002/05/16,418,
+07DA001,1,2002/05/17,466,
+07DA001,1,2002/05/18,522,
+07DA001,1,2002/05/19,571,
+07DA001,1,2002/05/20,654,
+07DA001,1,2002/05/21,706,
+07DA001,1,2002/05/22,703,
+07DA001,1,2002/05/23,711,
+07DA001,1,2002/05/24,716,
+07DA001,1,2002/05/25,717,
+07DA001,1,2002/05/26,733,
+07DA001,1,2002/05/27,773,
+07DA001,1,2002/05/28,781,
+07DA001,1,2002/05/29,752,
+07DA001,1,2002/05/30,711,
+07DA001,1,2002/05/31,660,A
+07DA001,1,2002/06/01,610,
+07DA001,1,2002/06/02,589,
+07DA001,1,2002/06/03,616,
+07DA001,1,2002/06/04,695,
+07DA001,1,2002/06/05,791,
+07DA001,1,2002/06/06,799,
+07DA001,1,2002/06/07,751,
+07DA001,1,2002/06/08,692,
+07DA001,1,2002/06/09,666,
+07DA001,1,2002/06/10,683,
+07DA001,1,2002/06/11,776,
+07DA001,1,2002/06/12,819,
+07DA001,1,2002/06/13,755,
+07DA001,1,2002/06/14,660,
+07DA001,1,2002/06/15,591,
+07DA001,1,2002/06/16,556,
+07DA001,1,2002/06/17,580,A
+07DA001,1,2002/06/18,650,E
+07DA001,1,2002/06/19,750,E
+07DA001,1,2002/06/20,850,E
+07DA001,1,2002/06/21,925,E
+07DA001,1,2002/06/22,1050,E
+07DA001,1,2002/06/23,1150,E
+07DA001,1,2002/06/24,1190,E
+07DA001,1,2002/06/25,1100,E
+07DA001,1,2002/06/26,950,E
+07DA001,1,2002/06/27,900,E
+07DA001,1,2002/06/28,900,E
+07DA001,1,2002/06/29,910,E
+07DA001,1,2002/06/30,955,E
+07DA001,1,2002/07/01,1000,E
+07DA001,1,2002/07/02,1050,E
+07DA001,1,2002/07/03,1090,A
+07DA001,1,2002/07/04,1090,
+07DA001,1,2002/07/05,1030,
+07DA001,1,2002/07/06,937,
+07DA001,1,2002/07/07,818,
+07DA001,1,2002/07/08,713,
+07DA001,1,2002/07/09,631,
+07DA001,1,2002/07/10,576,
+07DA001,1,2002/07/11,540,
+07DA001,1,2002/07/12,504,
+07DA001,1,2002/07/13,473,
+07DA001,1,2002/07/14,464,
+07DA001,1,2002/07/15,525,
+07DA001,1,2002/07/16,644,
+07DA001,1,2002/07/17,693,
+07DA001,1,2002/07/18,751,
+07DA001,1,2002/07/19,777,A
+07DA001,1,2002/07/20,783,
+07DA001,1,2002/07/21,823,
+07DA001,1,2002/07/22,848,
+07DA001,1,2002/07/23,839,
+07DA001,1,2002/07/24,827,
+07DA001,1,2002/07/25,813,
+07DA001,1,2002/07/26,802,
+07DA001,1,2002/07/27,770,
+07DA001,1,2002/07/28,734,
+07DA001,1,2002/07/29,694,
+07DA001,1,2002/07/30,687,
+07DA001,1,2002/07/31,718,
+07DA001,1,2002/08/01,760,
+07DA001,1,2002/08/02,779,
+07DA001,1,2002/08/03,751,
+07DA001,1,2002/08/04,702,
+07DA001,1,2002/08/05,667,
+07DA001,1,2002/08/06,632,
+07DA001,1,2002/08/07,598,
+07DA001,1,2002/08/08,568,
+07DA001,1,2002/08/09,545,
+07DA001,1,2002/08/10,534,
+07DA001,1,2002/08/11,514,
+07DA001,1,2002/08/12,503,
+07DA001,1,2002/08/13,497,
+07DA001,1,2002/08/14,481,
+07DA001,1,2002/08/15,474,
+07DA001,1,2002/08/16,477,
+07DA001,1,2002/08/17,485,
+07DA001,1,2002/08/18,502,
+07DA001,1,2002/08/19,506,
+07DA001,1,2002/08/20,495,
+07DA001,1,2002/08/21,509,
+07DA001,1,2002/08/22,549,
+07DA001,1,2002/08/23,556,
+07DA001,1,2002/08/24,539,
+07DA001,1,2002/08/25,511,
+07DA001,1,2002/08/26,508,
+07DA001,1,2002/08/27,486,
+07DA001,1,2002/08/28,471,
+07DA001,1,2002/08/29,458,
+07DA001,1,2002/08/30,454,
+07DA001,1,2002/08/31,459,
+07DA001,1,2002/09/01,481,
+07DA001,1,2002/09/02,494,
+07DA001,1,2002/09/03,485,
+07DA001,1,2002/09/04,500,
+07DA001,1,2002/09/05,523,
+07DA001,1,2002/09/06,551,
+07DA001,1,2002/09/07,547,
+07DA001,1,2002/09/08,540,
+07DA001,1,2002/09/09,538,
+07DA001,1,2002/09/10,517,
+07DA001,1,2002/09/11,504,
+07DA001,1,2002/09/12,481,
+07DA001,1,2002/09/13,468,
+07DA001,1,2002/09/14,450,
+07DA001,1,2002/09/15,434,
+07DA001,1,2002/09/16,418,
+07DA001,1,2002/09/17,400,
+07DA001,1,2002/09/18,382,
+07DA001,1,2002/09/19,372,
+07DA001,1,2002/09/20,370,
+07DA001,1,2002/09/21,371,
+07DA001,1,2002/09/22,374,
+07DA001,1,2002/09/23,366,
+07DA001,1,2002/09/24,361,
+07DA001,1,2002/09/25,362,
+07DA001,1,2002/09/26,355,
+07DA001,1,2002/09/27,338,
+07DA001,1,2002/09/28,354,
+07DA001,1,2002/09/29,359,
+07DA001,1,2002/09/30,345,
+07DA001,1,2002/10/01,336,
+07DA001,1,2002/10/02,343,
+07DA001,1,2002/10/03,353,
+07DA001,1,2002/10/04,349,
+07DA001,1,2002/10/05,350,
+07DA001,1,2002/10/06,343,
+07DA001,1,2002/10/07,349,
+07DA001,1,2002/10/08,366,
+07DA001,1,2002/10/09,365,
+07DA001,1,2002/10/10,353,
+07DA001,1,2002/10/11,357,
+07DA001,1,2002/10/12,361,
+07DA001,1,2002/10/13,375,
+07DA001,1,2002/10/14,388,
+07DA001,1,2002/10/15,390,
+07DA001,1,2002/10/16,382,
+07DA001,1,2002/10/17,372,
+07DA001,1,2002/10/18,357,
+07DA001,1,2002/10/19,343,
+07DA001,1,2002/10/20,324,B
+07DA001,1,2002/10/21,301,B
+07DA001,1,2002/10/22,295,B
+07DA001,1,2002/10/23,288,B
+07DA001,1,2002/10/24,292,B
+07DA001,1,2002/10/25,294,B
+07DA001,1,2002/10/26,306,B
+07DA001,1,2002/10/27,298,B
+07DA001,1,2002/10/28,294,B
+07DA001,1,2002/10/29,297,B
+07DA001,1,2002/10/30,300,B
+07DA001,1,2002/10/31,301,B
+07DA001,1,2002/11/01,304,B
+07DA001,1,2002/11/02,288,B
+07DA001,1,2002/11/03,286,B
+07DA001,1,2002/11/04,256,B
+07DA001,1,2002/11/05,277,B
+07DA001,1,2002/11/06,261,B
+07DA001,1,2002/11/07,271,B
+07DA001,1,2002/11/08,265,B
+07DA001,1,2002/11/09,237,B
+07DA001,1,2002/11/10,241,B
+07DA001,1,2002/11/11,261,B
+07DA001,1,2002/11/12,247,B
+07DA001,1,2002/11/13,252,B
+07DA001,1,2002/11/14,220,B
+07DA001,1,2002/11/15,212,B
+07DA001,1,2002/11/16,221,B
+07DA001,1,2002/11/17,217,B
+07DA001,1,2002/11/18,252,B
+07DA001,1,2002/11/19,251,B
+07DA001,1,2002/11/20,248,B
+07DA001,1,2002/11/21,220,B
+07DA001,1,2002/11/22,212,B
+07DA001,1,2002/11/23,236,B
+07DA001,1,2002/11/24,240,B
+07DA001,1,2002/11/25,251,B
+07DA001,1,2002/11/26,226,B
+07DA001,1,2002/11/27,220,B
+07DA001,1,2002/11/28,215,B
+07DA001,1,2002/11/29,225,B
+07DA001,1,2002/11/30,235,B
+07DA001,1,2002/12/01,234,B
+07DA001,1,2002/12/02,239,B
+07DA001,1,2002/12/03,223,B
+07DA001,1,2002/12/04,229,B
+07DA001,1,2002/12/05,228,B
+07DA001,1,2002/12/06,195,B
+07DA001,1,2002/12/07,188,B
+07DA001,1,2002/12/08,173,B
+07DA001,1,2002/12/09,165,B
+07DA001,1,2002/12/10,158,B
+07DA001,1,2002/12/11,181,B
+07DA001,1,2002/12/12,185,B
+07DA001,1,2002/12/13,174,B
+07DA001,1,2002/12/14,165,B
+07DA001,1,2002/12/15,158,B
+07DA001,1,2002/12/16,163,B
+07DA001,1,2002/12/17,165,B
+07DA001,1,2002/12/18,162,B
+07DA001,1,2002/12/19,156,B
+07DA001,1,2002/12/20,160,B
+07DA001,1,2002/12/21,161,B
+07DA001,1,2002/12/22,161,B
+07DA001,1,2002/12/23,167,B
+07DA001,1,2002/12/24,170,B
+07DA001,1,2002/12/25,161,B
+07DA001,1,2002/12/26,153,B
+07DA001,1,2002/12/27,160,B
+07DA001,1,2002/12/28,156,B
+07DA001,1,2002/12/29,152,B
+07DA001,1,2002/12/30,147,B
+07DA001,1,2002/12/31,141,B
+07DA001,1,2003/01/01,134,B
+07DA001,1,2003/01/02,125,B
+07DA001,1,2003/01/03,118,B
+07DA001,1,2003/01/04,114,B
+07DA001,1,2003/01/05,113,B
+07DA001,1,2003/01/06,112,B
+07DA001,1,2003/01/07,113,B
+07DA001,1,2003/01/08,122,B
+07DA001,1,2003/01/09,126,B
+07DA001,1,2003/01/10,122,B
+07DA001,1,2003/01/11,118,B
+07DA001,1,2003/01/12,114,B
+07DA001,1,2003/01/13,111,B
+07DA001,1,2003/01/14,119,B
+07DA001,1,2003/01/15,119,B
+07DA001,1,2003/01/16,121,B
+07DA001,1,2003/01/17,122,B
+07DA001,1,2003/01/18,117,B
+07DA001,1,2003/01/19,122,B
+07DA001,1,2003/01/20,120,B
+07DA001,1,2003/01/21,118,B
+07DA001,1,2003/01/22,114,B
+07DA001,1,2003/01/23,112,B
+07DA001,1,2003/01/24,111,B
+07DA001,1,2003/01/25,113,B
+07DA001,1,2003/01/26,111,B
+07DA001,1,2003/01/27,109,B
+07DA001,1,2003/01/28,109,B
+07DA001,1,2003/01/29,116,B
+07DA001,1,2003/01/30,118,B
+07DA001,1,2003/01/31,119,B
+07DA001,1,2003/02/01,119,B
+07DA001,1,2003/02/02,120,B
+07DA001,1,2003/02/03,118,B
+07DA001,1,2003/02/04,114,B
+07DA001,1,2003/02/05,109,B
+07DA001,1,2003/02/06,107,B
+07DA001,1,2003/02/07,107,B
+07DA001,1,2003/02/08,108,B
+07DA001,1,2003/02/09,110,B
+07DA001,1,2003/02/10,116,B
+07DA001,1,2003/02/11,117,B
+07DA001,1,2003/02/12,115,B
+07DA001,1,2003/02/13,115,B
+07DA001,1,2003/02/14,116,B
+07DA001,1,2003/02/15,113,B
+07DA001,1,2003/02/16,113,B
+07DA001,1,2003/02/17,112,B
+07DA001,1,2003/02/18,111,B
+07DA001,1,2003/02/19,114,B
+07DA001,1,2003/02/20,112,B
+07DA001,1,2003/02/21,109,B
+07DA001,1,2003/02/22,108,B
+07DA001,1,2003/02/23,107,B
+07DA001,1,2003/02/24,106,B
+07DA001,1,2003/02/25,104,B
+07DA001,1,2003/02/26,104,B
+07DA001,1,2003/02/27,103,B
+07DA001,1,2003/02/28,102,B
+07DA001,1,2003/03/01,101,B
+07DA001,1,2003/03/02,101,B
+07DA001,1,2003/03/03,100,B
+07DA001,1,2003/03/04,98.6,B
+07DA001,1,2003/03/05,93.9,B
+07DA001,1,2003/03/06,91.3,B
+07DA001,1,2003/03/07,91.9,B
+07DA001,1,2003/03/08,93.3,B
+07DA001,1,2003/03/09,94.1,B
+07DA001,1,2003/03/10,96.7,B
+07DA001,1,2003/03/11,98.7,B
+07DA001,1,2003/03/12,102,B
+07DA001,1,2003/03/13,103,B
+07DA001,1,2003/03/14,105,B
+07DA001,1,2003/03/15,105,B
+07DA001,1,2003/03/16,106,B
+07DA001,1,2003/03/17,106,B
+07DA001,1,2003/03/18,105,B
+07DA001,1,2003/03/19,106,B
+07DA001,1,2003/03/20,106,B
+07DA001,1,2003/03/21,104,B
+07DA001,1,2003/03/22,111,B
+07DA001,1,2003/03/23,115,B
+07DA001,1,2003/03/24,115,B
+07DA001,1,2003/03/25,117,B
+07DA001,1,2003/03/26,119,B
+07DA001,1,2003/03/27,122,B
+07DA001,1,2003/03/28,125,B
+07DA001,1,2003/03/29,128,B
+07DA001,1,2003/03/30,132,B
+07DA001,1,2003/03/31,141,B
+07DA001,1,2003/04/01,139,B
+07DA001,1,2003/04/02,149,B
+07DA001,1,2003/04/03,153,B
+07DA001,1,2003/04/04,155,B
+07DA001,1,2003/04/05,153,B
+07DA001,1,2003/04/06,154,B
+07DA001,1,2003/04/07,153,B
+07DA001,1,2003/04/08,150,B
+07DA001,1,2003/04/09,158,B
+07DA001,1,2003/04/10,166,B
+07DA001,1,2003/04/11,168,B
+07DA001,1,2003/04/12,179,B
+07DA001,1,2003/04/13,192,B
+07DA001,1,2003/04/14,200,B
+07DA001,1,2003/04/15,215,B
+07DA001,1,2003/04/16,230,B
+07DA001,1,2003/04/17,245,B
+07DA001,1,2003/04/18,265,B
+07DA001,1,2003/04/19,290,B
+07DA001,1,2003/04/20,310,B
+07DA001,1,2003/04/21,344,B
+07DA001,1,2003/04/22,383,B
+07DA001,1,2003/04/23,422,B
+07DA001,1,2003/04/24,461,B
+07DA001,1,2003/04/25,500,B
+07DA001,1,2003/04/26,600,B
+07DA001,1,2003/04/27,800,B
+07DA001,1,2003/04/28,950,B
+07DA001,1,2003/04/29,1150,B
+07DA001,1,2003/04/30,1400,E
+07DA001,1,2003/05/01,1300,E
+07DA001,1,2003/05/02,1100,E
+07DA001,1,2003/05/03,977,E
+07DA001,1,2003/05/04,915,E
+07DA001,1,2003/05/05,853,A
+07DA001,1,2003/05/06,851,
+07DA001,1,2003/05/07,837,
+07DA001,1,2003/05/08,808,
+07DA001,1,2003/05/09,765,
+07DA001,1,2003/05/10,735,
+07DA001,1,2003/05/11,714,
+07DA001,1,2003/05/12,696,
+07DA001,1,2003/05/13,688,
+07DA001,1,2003/05/14,702,
+07DA001,1,2003/05/15,731,
+07DA001,1,2003/05/16,777,
+07DA001,1,2003/05/17,905,
+07DA001,1,2003/05/18,957,
+07DA001,1,2003/05/19,930,
+07DA001,1,2003/05/20,893,
+07DA001,1,2003/05/21,836,
+07DA001,1,2003/05/22,783,
+07DA001,1,2003/05/23,726,
+07DA001,1,2003/05/24,667,
+07DA001,1,2003/05/25,621,
+07DA001,1,2003/05/26,595,
+07DA001,1,2003/05/27,560,
+07DA001,1,2003/05/28,525,
+07DA001,1,2003/05/29,517,
+07DA001,1,2003/05/30,575,
+07DA001,1,2003/05/31,1140,
+07DA001,1,2003/06/01,1170,
+07DA001,1,2003/06/02,1060,
+07DA001,1,2003/06/03,1040,
+07DA001,1,2003/06/04,1150,
+07DA001,1,2003/06/05,1200,
+07DA001,1,2003/06/06,1310,
+07DA001,1,2003/06/07,1450,
+07DA001,1,2003/06/08,1390,
+07DA001,1,2003/06/09,1240,
+07DA001,1,2003/06/10,1120,
+07DA001,1,2003/06/11,1080,
+07DA001,1,2003/06/12,1090,
+07DA001,1,2003/06/13,1090,
+07DA001,1,2003/06/14,1170,
+07DA001,1,2003/06/15,1240,
+07DA001,1,2003/06/16,1280,
+07DA001,1,2003/06/17,1230,
+07DA001,1,2003/06/18,1160,
+07DA001,1,2003/06/19,1150,
+07DA001,1,2003/06/20,1120,
+07DA001,1,2003/06/21,1040,
+07DA001,1,2003/06/22,1000,
+07DA001,1,2003/06/23,1090,A
+07DA001,1,2003/06/24,1280,
+07DA001,1,2003/06/25,1640,
+07DA001,1,2003/06/26,1840,
+07DA001,1,2003/06/27,1800,
+07DA001,1,2003/06/28,1650,
+07DA001,1,2003/06/29,1510,
+07DA001,1,2003/06/30,1390,A
+07DA001,1,2003/07/01,1320,
+07DA001,1,2003/07/02,1310,
+07DA001,1,2003/07/03,1310,
+07DA001,1,2003/07/04,1280,
+07DA001,1,2003/07/05,1260,
+07DA001,1,2003/07/06,1310,
+07DA001,1,2003/07/07,1320,
+07DA001,1,2003/07/08,1250,
+07DA001,1,2003/07/09,1180,
+07DA001,1,2003/07/10,1140,
+07DA001,1,2003/07/11,1110,
+07DA001,1,2003/07/12,1110,
+07DA001,1,2003/07/13,1090,
+07DA001,1,2003/07/14,1070,
+07DA001,1,2003/07/15,1070,
+07DA001,1,2003/07/16,1040,
+07DA001,1,2003/07/17,993,
+07DA001,1,2003/07/18,994,
+07DA001,1,2003/07/19,1020,
+07DA001,1,2003/07/20,1010,
+07DA001,1,2003/07/21,955,
+07DA001,1,2003/07/22,921,
+07DA001,1,2003/07/23,890,
+07DA001,1,2003/07/24,875,
+07DA001,1,2003/07/25,830,
+07DA001,1,2003/07/26,777,
+07DA001,1,2003/07/27,751,
+07DA001,1,2003/07/28,746,
+07DA001,1,2003/07/29,739,
+07DA001,1,2003/07/30,726,
+07DA001,1,2003/07/31,708,
+07DA001,1,2003/08/01,683,
+07DA001,1,2003/08/02,653,
+07DA001,1,2003/08/03,618,
+07DA001,1,2003/08/04,616,
+07DA001,1,2003/08/05,607,
+07DA001,1,2003/08/06,606,
+07DA001,1,2003/08/07,617,
+07DA001,1,2003/08/08,634,
+07DA001,1,2003/08/09,631,
+07DA001,1,2003/08/10,631,
+07DA001,1,2003/08/11,653,
+07DA001,1,2003/08/12,676,
+07DA001,1,2003/08/13,711,
+07DA001,1,2003/08/14,722,
+07DA001,1,2003/08/15,704,
+07DA001,1,2003/08/16,692,
+07DA001,1,2003/08/17,701,
+07DA001,1,2003/08/18,704,
+07DA001,1,2003/08/19,671,
+07DA001,1,2003/08/20,627,
+07DA001,1,2003/08/21,590,
+07DA001,1,2003/08/22,566,
+07DA001,1,2003/08/23,547,
+07DA001,1,2003/08/24,536,
+07DA001,1,2003/08/25,524,A
+07DA001,1,2003/08/26,516,
+07DA001,1,2003/08/27,502,A
+07DA001,1,2003/08/28,482,A
+07DA001,1,2003/08/29,471,A
+07DA001,1,2003/08/30,474,A
+07DA001,1,2003/08/31,467,A
+07DA001,1,2003/09/01,448,A
+07DA001,1,2003/09/02,430,A
+07DA001,1,2003/09/03,412,
+07DA001,1,2003/09/04,414,A
+07DA001,1,2003/09/05,413,A
+07DA001,1,2003/09/06,410,A
+07DA001,1,2003/09/07,399,
+07DA001,1,2003/09/08,399,
+07DA001,1,2003/09/09,399,A
+07DA001,1,2003/09/10,395,
+07DA001,1,2003/09/11,387,
+07DA001,1,2003/09/12,403,
+07DA001,1,2003/09/13,411,
+07DA001,1,2003/09/14,414,
+07DA001,1,2003/09/15,443,A
+07DA001,1,2003/09/16,463,
+07DA001,1,2003/09/17,454,
+07DA001,1,2003/09/18,439,
+07DA001,1,2003/09/19,433,A
+07DA001,1,2003/09/20,436,A
+07DA001,1,2003/09/21,430,A
+07DA001,1,2003/09/22,420,
+07DA001,1,2003/09/23,432,
+07DA001,1,2003/09/24,439,
+07DA001,1,2003/09/25,451,
+07DA001,1,2003/09/26,450,
+07DA001,1,2003/09/27,447,
+07DA001,1,2003/09/28,449,
+07DA001,1,2003/09/29,443,
+07DA001,1,2003/09/30,435,
+07DA001,1,2003/10/01,427,
+07DA001,1,2003/10/02,430,
+07DA001,1,2003/10/03,424,A
+07DA001,1,2003/10/04,418,
+07DA001,1,2003/10/05,410,
+07DA001,1,2003/10/06,401,A
+07DA001,1,2003/10/07,390,E
+07DA001,1,2003/10/08,380,E
+07DA001,1,2003/10/09,365,E
+07DA001,1,2003/10/10,358,E
+07DA001,1,2003/10/11,355,E
+07DA001,1,2003/10/12,350,E
+07DA001,1,2003/10/13,350,E
+07DA001,1,2003/10/14,355,E
+07DA001,1,2003/10/15,365,E
+07DA001,1,2003/10/16,370,E
+07DA001,1,2003/10/17,355,E
+07DA001,1,2003/10/18,340,E
+07DA001,1,2003/10/19,335,E
+07DA001,1,2003/10/20,330,A
+07DA001,1,2003/10/21,327,
+07DA001,1,2003/10/22,322,
+07DA001,1,2003/10/23,329,
+07DA001,1,2003/10/24,342,
+07DA001,1,2003/10/25,348,A
+07DA001,1,2003/10/26,357,
+07DA001,1,2003/10/27,405,
+07DA001,1,2003/10/28,454,
+07DA001,1,2003/10/29,471,A
+07DA001,1,2003/10/30,476,
+07DA001,1,2003/10/31,407,B
+07DA001,1,2003/11/01,396,B
+07DA001,1,2003/11/02,306,B
+07DA001,1,2003/11/03,280,B
+07DA001,1,2003/11/04,260,B
+07DA001,1,2003/11/05,240,B
+07DA001,1,2003/11/06,220,B
+07DA001,1,2003/11/07,210,B
+07DA001,1,2003/11/08,205,B
+07DA001,1,2003/11/09,200,B
+07DA001,1,2003/11/10,195,B
+07DA001,1,2003/11/11,195,B
+07DA001,1,2003/11/12,200,B
+07DA001,1,2003/11/13,210,B
+07DA001,1,2003/11/14,230,B
+07DA001,1,2003/11/15,250,B
+07DA001,1,2003/11/16,260,B
+07DA001,1,2003/11/17,258,B
+07DA001,1,2003/11/18,264,B
+07DA001,1,2003/11/19,250,B
+07DA001,1,2003/11/20,229,B
+07DA001,1,2003/11/21,217,B
+07DA001,1,2003/11/22,197,B
+07DA001,1,2003/11/23,180,B
+07DA001,1,2003/11/24,173,B
+07DA001,1,2003/11/25,170,B
+07DA001,1,2003/11/26,179,B
+07DA001,1,2003/11/27,179,B
+07DA001,1,2003/11/28,179,B
+07DA001,1,2003/11/29,189,B
+07DA001,1,2003/11/30,214,B
+07DA001,1,2003/12/01,209,B
+07DA001,1,2003/12/02,203,B
+07DA001,1,2003/12/03,201,B
+07DA001,1,2003/12/04,205,B
+07DA001,1,2003/12/05,189,B
+07DA001,1,2003/12/06,184,B
+07DA001,1,2003/12/07,190,B
+07DA001,1,2003/12/08,204,B
+07DA001,1,2003/12/09,196,B
+07DA001,1,2003/12/10,197,B
+07DA001,1,2003/12/11,193,B
+07DA001,1,2003/12/12,185,B
+07DA001,1,2003/12/13,184,B
+07DA001,1,2003/12/14,185,B
+07DA001,1,2003/12/15,184,B
+07DA001,1,2003/12/16,193,B
+07DA001,1,2003/12/17,187,B
+07DA001,1,2003/12/18,186,B
+07DA001,1,2003/12/19,189,B
+07DA001,1,2003/12/20,188,B
+07DA001,1,2003/12/21,193,B
+07DA001,1,2003/12/22,191,B
+07DA001,1,2003/12/23,182,B
+07DA001,1,2003/12/24,177,B
+07DA001,1,2003/12/25,175,B
+07DA001,1,2003/12/26,170,B
+07DA001,1,2003/12/27,167,B
+07DA001,1,2003/12/28,166,B
+07DA001,1,2003/12/29,164,B
+07DA001,1,2003/12/30,163,B
+07DA001,1,2003/12/31,161,B
+07DA001,1,2004/01/01,160,B
+07DA001,1,2004/01/02,158,B
+07DA001,1,2004/01/03,156,B
+07DA001,1,2004/01/04,155,B
+07DA001,1,2004/01/05,152,B
+07DA001,1,2004/01/06,150,B
+07DA001,1,2004/01/07,148,B
+07DA001,1,2004/01/08,146,B
+07DA001,1,2004/01/09,145,B
+07DA001,1,2004/01/10,145,B
+07DA001,1,2004/01/11,140,B
+07DA001,1,2004/01/12,133,B
+07DA001,1,2004/01/13,128,B
+07DA001,1,2004/01/14,131,B
+07DA001,1,2004/01/15,137,B
+07DA001,1,2004/01/16,140,B
+07DA001,1,2004/01/17,141,B
+07DA001,1,2004/01/18,141,B
+07DA001,1,2004/01/19,141,B
+07DA001,1,2004/01/20,144,B
+07DA001,1,2004/01/21,144,B
+07DA001,1,2004/01/22,145,B
+07DA001,1,2004/01/23,146,B
+07DA001,1,2004/01/24,145,B
+07DA001,1,2004/01/25,144,B
+07DA001,1,2004/01/26,143,B
+07DA001,1,2004/01/27,145,B
+07DA001,1,2004/01/28,147,B
+07DA001,1,2004/01/29,145,B
+07DA001,1,2004/01/30,141,B
+07DA001,1,2004/01/31,143,B
+07DA001,1,2004/02/01,143,B
+07DA001,1,2004/02/02,141,B
+07DA001,1,2004/02/03,139,B
+07DA001,1,2004/02/04,136,B
+07DA001,1,2004/02/05,135,B
+07DA001,1,2004/02/06,131,B
+07DA001,1,2004/02/07,125,B
+07DA001,1,2004/02/08,121,B
+07DA001,1,2004/02/09,117,B
+07DA001,1,2004/02/10,115,B
+07DA001,1,2004/02/11,116,B
+07DA001,1,2004/02/12,119,B
+07DA001,1,2004/02/13,123,B
+07DA001,1,2004/02/14,125,B
+07DA001,1,2004/02/15,126,B
+07DA001,1,2004/02/16,128,B
+07DA001,1,2004/02/17,130,B
+07DA001,1,2004/02/18,130,B
+07DA001,1,2004/02/19,131,B
+07DA001,1,2004/02/20,131,B
+07DA001,1,2004/02/21,132,B
+07DA001,1,2004/02/22,133,B
+07DA001,1,2004/02/23,134,B
+07DA001,1,2004/02/24,134,B
+07DA001,1,2004/02/25,134,B
+07DA001,1,2004/02/26,134,B
+07DA001,1,2004/02/27,134,B
+07DA001,1,2004/02/28,135,B
+07DA001,1,2004/02/29,135,B
+07DA001,1,2004/03/01,137,B
+07DA001,1,2004/03/02,138,B
+07DA001,1,2004/03/03,138,B
+07DA001,1,2004/03/04,138,B
+07DA001,1,2004/03/05,137,B
+07DA001,1,2004/03/06,135,B
+07DA001,1,2004/03/07,134,B
+07DA001,1,2004/03/08,134,B
+07DA001,1,2004/03/09,137,B
+07DA001,1,2004/03/10,140,B
+07DA001,1,2004/03/11,141,B
+07DA001,1,2004/03/12,143,B
+07DA001,1,2004/03/13,144,B
+07DA001,1,2004/03/14,144,B
+07DA001,1,2004/03/15,145,B
+07DA001,1,2004/03/16,146,B
+07DA001,1,2004/03/17,145,B
+07DA001,1,2004/03/18,147,B
+07DA001,1,2004/03/19,149,B
+07DA001,1,2004/03/20,149,B
+07DA001,1,2004/03/21,150,B
+07DA001,1,2004/03/22,154,B
+07DA001,1,2004/03/23,160,B
+07DA001,1,2004/03/24,162,B
+07DA001,1,2004/03/25,160,B
+07DA001,1,2004/03/26,158,B
+07DA001,1,2004/03/27,159,B
+07DA001,1,2004/03/28,161,B
+07DA001,1,2004/03/29,154,B
+07DA001,1,2004/03/30,154,B
+07DA001,1,2004/03/31,171,B
+07DA001,1,2004/04/01,174,B
+07DA001,1,2004/04/02,178,B
+07DA001,1,2004/04/03,178,B
+07DA001,1,2004/04/04,188,B
+07DA001,1,2004/04/05,203,B
+07DA001,1,2004/04/06,230,B
+07DA001,1,2004/04/07,254,B
+07DA001,1,2004/04/08,277,B
+07DA001,1,2004/04/09,312,B
+07DA001,1,2004/04/10,355,B
+07DA001,1,2004/04/11,391,B
+07DA001,1,2004/04/12,434,B
+07DA001,1,2004/04/13,464,B
+07DA001,1,2004/04/14,533,B
+07DA001,1,2004/04/15,494,B
+07DA001,1,2004/04/16,606,B
+07DA001,1,2004/04/17,701,B
+07DA001,1,2004/04/18,766,B
+07DA001,1,2004/04/19,879,B
+07DA001,1,2004/04/20,719,B
+07DA001,1,2004/04/21,734,B
+07DA001,1,2004/04/22,841,B
+07DA001,1,2004/04/23,736,B
+07DA001,1,2004/04/24,733,B
+07DA001,1,2004/04/25,656,B
+07DA001,1,2004/04/26,624,
+07DA001,1,2004/04/27,653,
+07DA001,1,2004/04/28,663,
+07DA001,1,2004/04/29,674,
+07DA001,1,2004/04/30,675,
+07DA001,1,2004/05/01,670,
+07DA001,1,2004/05/02,685,
+07DA001,1,2004/05/03,696,
+07DA001,1,2004/05/04,678,
+07DA001,1,2004/05/05,650,
+07DA001,1,2004/05/06,624,
+07DA001,1,2004/05/07,608,
+07DA001,1,2004/05/08,603,A
+07DA001,1,2004/05/09,598,
+07DA001,1,2004/05/10,604,
+07DA001,1,2004/05/11,616,
+07DA001,1,2004/05/12,607,
+07DA001,1,2004/05/13,592,
+07DA001,1,2004/05/14,572,
+07DA001,1,2004/05/15,554,
+07DA001,1,2004/05/16,539,
+07DA001,1,2004/05/17,535,
+07DA001,1,2004/05/18,532,
+07DA001,1,2004/05/19,520,
+07DA001,1,2004/05/20,505,
+07DA001,1,2004/05/21,492,
+07DA001,1,2004/05/22,477,
+07DA001,1,2004/05/23,466,
+07DA001,1,2004/05/24,464,
+07DA001,1,2004/05/25,473,
+07DA001,1,2004/05/26,537,A
+07DA001,1,2004/05/27,638,
+07DA001,1,2004/05/28,703,
+07DA001,1,2004/05/29,693,
+07DA001,1,2004/05/30,747,
+07DA001,1,2004/05/31,895,
+07DA001,1,2004/06/01,1060,
+07DA001,1,2004/06/02,1170,
+07DA001,1,2004/06/03,1240,
+07DA001,1,2004/06/04,1300,
+07DA001,1,2004/06/05,1330,
+07DA001,1,2004/06/06,1290,
+07DA001,1,2004/06/07,1210,
+07DA001,1,2004/06/08,1150,
+07DA001,1,2004/06/09,1070,
+07DA001,1,2004/06/10,1030,
+07DA001,1,2004/06/11,1310,
+07DA001,1,2004/06/12,1640,
+07DA001,1,2004/06/13,1550,
+07DA001,1,2004/06/14,1410,
+07DA001,1,2004/06/15,1350,
+07DA001,1,2004/06/16,1540,
+07DA001,1,2004/06/17,1780,
+07DA001,1,2004/06/18,1710,
+07DA001,1,2004/06/19,1580,
+07DA001,1,2004/06/20,1450,
+07DA001,1,2004/06/21,1310,
+07DA001,1,2004/06/22,1220,
+07DA001,1,2004/06/23,1140,
+07DA001,1,2004/06/24,1080,
+07DA001,1,2004/06/25,1030,
+07DA001,1,2004/06/26,1040,
+07DA001,1,2004/06/27,1080,
+07DA001,1,2004/06/28,1100,
+07DA001,1,2004/06/29,1100,
+07DA001,1,2004/06/30,1080,
+07DA001,1,2004/07/01,1020,
+07DA001,1,2004/07/02,962,
+07DA001,1,2004/07/03,917,
+07DA001,1,2004/07/04,869,
+07DA001,1,2004/07/05,848,
+07DA001,1,2004/07/06,884,
+07DA001,1,2004/07/07,939,
+07DA001,1,2004/07/08,1030,
+07DA001,1,2004/07/09,1140,
+07DA001,1,2004/07/10,1190,
+07DA001,1,2004/07/11,1250,
+07DA001,1,2004/07/12,1740,
+07DA001,1,2004/07/13,1960,
+07DA001,1,2004/07/14,1920,
+07DA001,1,2004/07/15,1860,
+07DA001,1,2004/07/16,1930,A
+07DA001,1,2004/07/17,1910,
+07DA001,1,2004/07/18,1770,
+07DA001,1,2004/07/19,1620,
+07DA001,1,2004/07/20,1520,
+07DA001,1,2004/07/21,1440,
+07DA001,1,2004/07/22,1370,
+07DA001,1,2004/07/23,1300,
+07DA001,1,2004/07/24,1250,
+07DA001,1,2004/07/25,1190,
+07DA001,1,2004/07/26,1120,
+07DA001,1,2004/07/27,1050,
+07DA001,1,2004/07/28,956,
+07DA001,1,2004/07/29,915,
+07DA001,1,2004/07/30,897,
+07DA001,1,2004/07/31,876,
+07DA001,1,2004/08/01,862,
+07DA001,1,2004/08/02,826,
+07DA001,1,2004/08/03,770,
+07DA001,1,2004/08/04,723,A
+07DA001,1,2004/08/05,706,
+07DA001,1,2004/08/06,693,
+07DA001,1,2004/08/07,672,
+07DA001,1,2004/08/08,665,
+07DA001,1,2004/08/09,672,
+07DA001,1,2004/08/10,690,
+07DA001,1,2004/08/11,738,
+07DA001,1,2004/08/12,796,
+07DA001,1,2004/08/13,769,
+07DA001,1,2004/08/14,731,
+07DA001,1,2004/08/15,705,
+07DA001,1,2004/08/16,662,
+07DA001,1,2004/08/17,624,
+07DA001,1,2004/08/18,597,
+07DA001,1,2004/08/19,586,
+07DA001,1,2004/08/20,582,
+07DA001,1,2004/08/21,590,
+07DA001,1,2004/08/22,588,
+07DA001,1,2004/08/23,596,
+07DA001,1,2004/08/24,595,
+07DA001,1,2004/08/25,594,
+07DA001,1,2004/08/26,584,
+07DA001,1,2004/08/27,585,
+07DA001,1,2004/08/28,633,
+07DA001,1,2004/08/29,717,
+07DA001,1,2004/08/30,732,
+07DA001,1,2004/08/31,692,
+07DA001,1,2004/09/01,647,
+07DA001,1,2004/09/02,611,
+07DA001,1,2004/09/03,616,
+07DA001,1,2004/09/04,629,
+07DA001,1,2004/09/05,692,
+07DA001,1,2004/09/06,1040,
+07DA001,1,2004/09/07,1360,
+07DA001,1,2004/09/08,1410,
+07DA001,1,2004/09/09,1330,
+07DA001,1,2004/09/10,1270,
+07DA001,1,2004/09/11,1220,
+07DA001,1,2004/09/12,1160,
+07DA001,1,2004/09/13,1100,
+07DA001,1,2004/09/14,1060,
+07DA001,1,2004/09/15,1110,A
+07DA001,1,2004/09/16,1150,
+07DA001,1,2004/09/17,1130,
+07DA001,1,2004/09/18,1090,
+07DA001,1,2004/09/19,1070,
+07DA001,1,2004/09/20,1050,
+07DA001,1,2004/09/21,1060,
+07DA001,1,2004/09/22,1120,
+07DA001,1,2004/09/23,1140,
+07DA001,1,2004/09/24,1130,
+07DA001,1,2004/09/25,1110,
+07DA001,1,2004/09/26,1060,
+07DA001,1,2004/09/27,981,
+07DA001,1,2004/09/28,918,
+07DA001,1,2004/09/29,864,
+07DA001,1,2004/09/30,822,
+07DA001,1,2004/10/01,773,
+07DA001,1,2004/10/02,748,
+07DA001,1,2004/10/03,725,
+07DA001,1,2004/10/04,703,
+07DA001,1,2004/10/05,676,
+07DA001,1,2004/10/06,660,
+07DA001,1,2004/10/07,645,
+07DA001,1,2004/10/08,620,
+07DA001,1,2004/10/09,596,
+07DA001,1,2004/10/10,577,
+07DA001,1,2004/10/11,563,
+07DA001,1,2004/10/12,542,
+07DA001,1,2004/10/13,533,
+07DA001,1,2004/10/14,554,
+07DA001,1,2004/10/15,550,
+07DA001,1,2004/10/16,538,
+07DA001,1,2004/10/17,544,
+07DA001,1,2004/10/18,541,
+07DA001,1,2004/10/19,548,
+07DA001,1,2004/10/20,539,
+07DA001,1,2004/10/21,561,
+07DA001,1,2004/10/22,648,
+07DA001,1,2004/10/23,660,
+07DA001,1,2004/10/24,621,B
+07DA001,1,2004/10/25,556,B
+07DA001,1,2004/10/26,494,B
+07DA001,1,2004/10/27,470,B
+07DA001,1,2004/10/28,429,B
+07DA001,1,2004/10/29,416,B
+07DA001,1,2004/10/30,402,B
+07DA001,1,2004/10/31,410,B
+07DA001,1,2004/11/01,387,B
+07DA001,1,2004/11/02,364,B
+07DA001,1,2004/11/03,360,B
+07DA001,1,2004/11/04,360,B
+07DA001,1,2004/11/05,359,B
+07DA001,1,2004/11/06,362,B
+07DA001,1,2004/11/07,350,B
+07DA001,1,2004/11/08,315,B
+07DA001,1,2004/11/09,303,B
+07DA001,1,2004/11/10,303,B
+07DA001,1,2004/11/11,292,B
+07DA001,1,2004/11/12,257,B
+07DA001,1,2004/11/13,254,B
+07DA001,1,2004/11/14,218,B
+07DA001,1,2004/11/15,234,B
+07DA001,1,2004/11/16,244,B
+07DA001,1,2004/11/17,234,B
+07DA001,1,2004/11/18,230,B
+07DA001,1,2004/11/19,221,B
+07DA001,1,2004/11/20,213,B
+07DA001,1,2004/11/21,189,B
+07DA001,1,2004/11/22,212,B
+07DA001,1,2004/11/23,188,B
+07DA001,1,2004/11/24,184,B
+07DA001,1,2004/11/25,194,B
+07DA001,1,2004/11/26,195,B
+07DA001,1,2004/11/27,202,B
+07DA001,1,2004/11/28,207,B
+07DA001,1,2004/11/29,202,B
+07DA001,1,2004/11/30,187,B
+07DA001,1,2004/12/01,177,B
+07DA001,1,2004/12/02,177,B
+07DA001,1,2004/12/03,187,B
+07DA001,1,2004/12/04,211,B
+07DA001,1,2004/12/05,180,B
+07DA001,1,2004/12/06,162,B
+07DA001,1,2004/12/07,167,B
+07DA001,1,2004/12/08,178,B
+07DA001,1,2004/12/09,191,B
+07DA001,1,2004/12/10,198,B
+07DA001,1,2004/12/11,197,B
+07DA001,1,2004/12/12,195,B
+07DA001,1,2004/12/13,202,B
+07DA001,1,2004/12/14,227,B
+07DA001,1,2004/12/15,196,B
+07DA001,1,2004/12/16,176,B
+07DA001,1,2004/12/17,229,B
+07DA001,1,2004/12/18,208,B
+07DA001,1,2004/12/19,197,B
+07DA001,1,2004/12/20,186,B
+07DA001,1,2004/12/21,172,B
+07DA001,1,2004/12/22,171,B
+07DA001,1,2004/12/23,200,B
+07DA001,1,2004/12/24,217,B
+07DA001,1,2004/12/25,189,B
+07DA001,1,2004/12/26,164,B
+07DA001,1,2004/12/27,155,B
+07DA001,1,2004/12/28,160,B
+07DA001,1,2004/12/29,170,B
+07DA001,1,2004/12/30,175,B
+07DA001,1,2004/12/31,170,B
+07DA001,1,2005/01/01,159,B
+07DA001,1,2005/01/02,151,B
+07DA001,1,2005/01/03,151,B
+07DA001,1,2005/01/04,148,B
+07DA001,1,2005/01/05,144,B
+07DA001,1,2005/01/06,141,B
+07DA001,1,2005/01/07,138,B
+07DA001,1,2005/01/08,137,B
+07DA001,1,2005/01/09,140,B
+07DA001,1,2005/01/10,139,B
+07DA001,1,2005/01/11,136,B
+07DA001,1,2005/01/12,133,B
+07DA001,1,2005/01/13,132,B
+07DA001,1,2005/01/14,130,B
+07DA001,1,2005/01/15,136,B
+07DA001,1,2005/01/16,143,B
+07DA001,1,2005/01/17,145,B
+07DA001,1,2005/01/18,152,B
+07DA001,1,2005/01/19,160,B
+07DA001,1,2005/01/20,167,B
+07DA001,1,2005/01/21,173,B
+07DA001,1,2005/01/22,174,B
+07DA001,1,2005/01/23,181,B
+07DA001,1,2005/01/24,189,B
+07DA001,1,2005/01/25,187,B
+07DA001,1,2005/01/26,183,B
+07DA001,1,2005/01/27,180,B
+07DA001,1,2005/01/28,174,B
+07DA001,1,2005/01/29,174,B
+07DA001,1,2005/01/30,175,B
+07DA001,1,2005/01/31,175,B
+07DA001,1,2005/02/01,181,B
+07DA001,1,2005/02/02,181,B
+07DA001,1,2005/02/03,182,B
+07DA001,1,2005/02/04,189,B
+07DA001,1,2005/02/05,198,B
+07DA001,1,2005/02/06,192,B
+07DA001,1,2005/02/07,192,B
+07DA001,1,2005/02/08,194,B
+07DA001,1,2005/02/09,192,B
+07DA001,1,2005/02/10,193,B
+07DA001,1,2005/02/11,187,B
+07DA001,1,2005/02/12,181,B
+07DA001,1,2005/02/13,180,B
+07DA001,1,2005/02/14,181,B
+07DA001,1,2005/02/15,174,B
+07DA001,1,2005/02/16,165,B
+07DA001,1,2005/02/17,166,B
+07DA001,1,2005/02/18,172,B
+07DA001,1,2005/02/19,173,B
+07DA001,1,2005/02/20,177,B
+07DA001,1,2005/02/21,181,B
+07DA001,1,2005/02/22,183,B
+07DA001,1,2005/02/23,184,B
+07DA001,1,2005/02/24,183,B
+07DA001,1,2005/02/25,181,B
+07DA001,1,2005/02/26,179,B
+07DA001,1,2005/02/27,178,B
+07DA001,1,2005/02/28,178,B
+07DA001,1,2005/03/01,180,B
+07DA001,1,2005/03/02,178,B
+07DA001,1,2005/03/03,181,B
+07DA001,1,2005/03/04,182,B
+07DA001,1,2005/03/05,184,B
+07DA001,1,2005/03/06,187,B
+07DA001,1,2005/03/07,188,B
+07DA001,1,2005/03/08,193,B
+07DA001,1,2005/03/09,199,B
+07DA001,1,2005/03/10,227,B
+07DA001,1,2005/03/11,239,B
+07DA001,1,2005/03/12,235,B
+07DA001,1,2005/03/13,248,B
+07DA001,1,2005/03/14,257,B
+07DA001,1,2005/03/15,264,B
+07DA001,1,2005/03/16,283,B
+07DA001,1,2005/03/17,318,B
+07DA001,1,2005/03/18,329,B
+07DA001,1,2005/03/19,332,B
+07DA001,1,2005/03/20,333,B
+07DA001,1,2005/03/21,332,B
+07DA001,1,2005/03/22,327,B
+07DA001,1,2005/03/23,315,B
+07DA001,1,2005/03/24,295,B
+07DA001,1,2005/03/25,273,B
+07DA001,1,2005/03/26,255,B
+07DA001,1,2005/03/27,240,B
+07DA001,1,2005/03/28,233,B
+07DA001,1,2005/03/29,229,B
+07DA001,1,2005/03/30,224,B
+07DA001,1,2005/03/31,227,B
+07DA001,1,2005/04/01,235,B
+07DA001,1,2005/04/02,244,B
+07DA001,1,2005/04/03,244,B
+07DA001,1,2005/04/04,247,B
+07DA001,1,2005/04/05,255,B
+07DA001,1,2005/04/06,260,B
+07DA001,1,2005/04/07,320,B
+07DA001,1,2005/04/08,360,B
+07DA001,1,2005/04/09,480,B
+07DA001,1,2005/04/10,570,B
+07DA001,1,2005/04/11,595,B
+07DA001,1,2005/04/12,600,B
+07DA001,1,2005/04/13,595,B
+07DA001,1,2005/04/14,590,B
+07DA001,1,2005/04/15,600,B
+07DA001,1,2005/04/16,750,B
+07DA001,1,2005/04/17,990,B
+07DA001,1,2005/04/18,1010,B
+07DA001,1,2005/04/19,1020,B
+07DA001,1,2005/04/20,1070,B
+07DA001,1,2005/04/21,1120,B
+07DA001,1,2005/04/22,1140,
+07DA001,1,2005/04/23,1110,
+07DA001,1,2005/04/24,1110,
+07DA001,1,2005/04/25,1110,
+07DA001,1,2005/04/26,1090,
+07DA001,1,2005/04/27,1070,
+07DA001,1,2005/04/28,1070,
+07DA001,1,2005/04/29,1050,
+07DA001,1,2005/04/30,1010,
+07DA001,1,2005/05/01,991,
+07DA001,1,2005/05/02,976,
+07DA001,1,2005/05/03,948,
+07DA001,1,2005/05/04,897,
+07DA001,1,2005/05/05,841,
+07DA001,1,2005/05/06,796,
+07DA001,1,2005/05/07,754,
+07DA001,1,2005/05/08,722,
+07DA001,1,2005/05/09,700,
+07DA001,1,2005/05/10,673,
+07DA001,1,2005/05/11,655,
+07DA001,1,2005/05/12,682,
+07DA001,1,2005/05/13,941,
+07DA001,1,2005/05/14,962,
+07DA001,1,2005/05/15,954,
+07DA001,1,2005/05/16,928,
+07DA001,1,2005/05/17,886,
+07DA001,1,2005/05/18,890,
+07DA001,1,2005/05/19,986,
+07DA001,1,2005/05/20,1150,
+07DA001,1,2005/05/21,1610,
+07DA001,1,2005/05/22,1950,
+07DA001,1,2005/05/23,1930,
+07DA001,1,2005/05/24,1810,
+07DA001,1,2005/05/25,1730,
+07DA001,1,2005/05/26,1640,
+07DA001,1,2005/05/27,1560,
+07DA001,1,2005/05/28,1480,
+07DA001,1,2005/05/29,1410,
+07DA001,1,2005/05/30,1330,
+07DA001,1,2005/05/31,1250,A
+07DA001,1,2005/06/01,1190,
+07DA001,1,2005/06/02,1130,
+07DA001,1,2005/06/03,1040,
+07DA001,1,2005/06/04,989,
+07DA001,1,2005/06/05,1020,
+07DA001,1,2005/06/06,1060,
+07DA001,1,2005/06/07,1080,
+07DA001,1,2005/06/08,1060,
+07DA001,1,2005/06/09,1020,
+07DA001,1,2005/06/10,1030,
+07DA001,1,2005/06/11,1050,
+07DA001,1,2005/06/12,1040,
+07DA001,1,2005/06/13,992,A
+07DA001,1,2005/06/14,986,
+07DA001,1,2005/06/15,1020,
+07DA001,1,2005/06/16,1130,
+07DA001,1,2005/06/17,1360,A
+07DA001,1,2005/06/18,1520,
+07DA001,1,2005/06/19,1530,
+07DA001,1,2005/06/20,1480,
+07DA001,1,2005/06/21,1400,
+07DA001,1,2005/06/22,1330,
+07DA001,1,2005/06/23,1640,
+07DA001,1,2005/06/24,1840,
+07DA001,1,2005/06/25,1770,
+07DA001,1,2005/06/26,1770,
+07DA001,1,2005/06/27,1780,
+07DA001,1,2005/06/28,1820,
+07DA001,1,2005/06/29,1690,
+07DA001,1,2005/06/30,1610,
+07DA001,1,2005/07/01,1830,
+07DA001,1,2005/07/02,2280,
+07DA001,1,2005/07/03,2410,
+07DA001,1,2005/07/04,2320,
+07DA001,1,2005/07/05,2200,
+07DA001,1,2005/07/06,2030,
+07DA001,1,2005/07/07,1860,
+07DA001,1,2005/07/08,1680,
+07DA001,1,2005/07/09,1540,
+07DA001,1,2005/07/10,1440,
+07DA001,1,2005/07/11,1390,
+07DA001,1,2005/07/12,1430,
+07DA001,1,2005/07/13,1400,
+07DA001,1,2005/07/14,1290,
+07DA001,1,2005/07/15,1230,
+07DA001,1,2005/07/16,1150,
+07DA001,1,2005/07/17,1080,
+07DA001,1,2005/07/18,1030,
+07DA001,1,2005/07/19,987,
+07DA001,1,2005/07/20,967,
+07DA001,1,2005/07/21,944,
+07DA001,1,2005/07/22,975,
+07DA001,1,2005/07/23,1020,
+07DA001,1,2005/07/24,1160,
+07DA001,1,2005/07/25,1340,
+07DA001,1,2005/07/26,1410,
+07DA001,1,2005/07/27,1440,
+07DA001,1,2005/07/28,1480,
+07DA001,1,2005/07/29,1530,A
+07DA001,1,2005/07/30,1510,
+07DA001,1,2005/07/31,1440,
+07DA001,1,2005/08/01,1380,
+07DA001,1,2005/08/02,1320,A
+07DA001,1,2005/08/03,1290,
+07DA001,1,2005/08/04,1260,
+07DA001,1,2005/08/05,1240,
+07DA001,1,2005/08/06,1170,
+07DA001,1,2005/08/07,1110,
+07DA001,1,2005/08/08,1060,
+07DA001,1,2005/08/09,997,
+07DA001,1,2005/08/10,924,
+07DA001,1,2005/08/11,894,
+07DA001,1,2005/08/12,864,
+07DA001,1,2005/08/13,861,
+07DA001,1,2005/08/14,863,
+07DA001,1,2005/08/15,844,
+07DA001,1,2005/08/16,823,
+07DA001,1,2005/08/17,814,
+07DA001,1,2005/08/18,837,
+07DA001,1,2005/08/19,882,
+07DA001,1,2005/08/20,926,
+07DA001,1,2005/08/21,1000,
+07DA001,1,2005/08/22,1140,
+07DA001,1,2005/08/23,1270,
+07DA001,1,2005/08/24,1260,
+07DA001,1,2005/08/25,1160,
+07DA001,1,2005/08/26,1090,
+07DA001,1,2005/08/27,1040,
+07DA001,1,2005/08/28,988,
+07DA001,1,2005/08/29,953,
+07DA001,1,2005/08/30,898,
+07DA001,1,2005/08/31,845,A
+07DA001,1,2005/09/01,793,
+07DA001,1,2005/09/02,759,
+07DA001,1,2005/09/03,739,
+07DA001,1,2005/09/04,770,
+07DA001,1,2005/09/05,860,
+07DA001,1,2005/09/06,845,
+07DA001,1,2005/09/07,784,
+07DA001,1,2005/09/08,742,
+07DA001,1,2005/09/09,782,
+07DA001,1,2005/09/10,808,A
+07DA001,1,2005/09/11,774,A
+07DA001,1,2005/09/12,737,
+07DA001,1,2005/09/13,697,
+07DA001,1,2005/09/14,665,
+07DA001,1,2005/09/15,655,
+07DA001,1,2005/09/16,900,
+07DA001,1,2005/09/17,968,
+07DA001,1,2005/09/18,931,
+07DA001,1,2005/09/19,967,
+07DA001,1,2005/09/20,978,A
+07DA001,1,2005/09/21,986,A
+07DA001,1,2005/09/22,968,A
+07DA001,1,2005/09/23,916,
+07DA001,1,2005/09/24,870,
+07DA001,1,2005/09/25,841,A
+07DA001,1,2005/09/26,819,
+07DA001,1,2005/09/27,785,
+07DA001,1,2005/09/28,743,
+07DA001,1,2005/09/29,716,
+07DA001,1,2005/09/30,690,
+07DA001,1,2005/10/01,667,
+07DA001,1,2005/10/02,649,
+07DA001,1,2005/10/03,650,
+07DA001,1,2005/10/04,656,
+07DA001,1,2005/10/05,634,
+07DA001,1,2005/10/06,634,
+07DA001,1,2005/10/07,667,
+07DA001,1,2005/10/08,679,
+07DA001,1,2005/10/09,676,A
+07DA001,1,2005/10/10,660,
+07DA001,1,2005/10/11,651,A
+07DA001,1,2005/10/12,638,A
+07DA001,1,2005/10/13,622,A
+07DA001,1,2005/10/14,601,
+07DA001,1,2005/10/15,592,
+07DA001,1,2005/10/16,579,A
+07DA001,1,2005/10/17,555,
+07DA001,1,2005/10/18,547,
+07DA001,1,2005/10/19,540,
+07DA001,1,2005/10/20,531,
+07DA001,1,2005/10/21,525,
+07DA001,1,2005/10/22,521,
+07DA001,1,2005/10/23,520,
+07DA001,1,2005/10/24,531,A
+07DA001,1,2005/10/25,531,
+07DA001,1,2005/10/26,520,
+07DA001,1,2005/10/27,509,
+07DA001,1,2005/10/28,503,
+07DA001,1,2005/10/29,492,
+07DA001,1,2005/10/30,486,
+07DA001,1,2005/10/31,486,
+07DA001,1,2005/11/01,490,
+07DA001,1,2005/11/02,491,
+07DA001,1,2005/11/03,485,
+07DA001,1,2005/11/04,476,
+07DA001,1,2005/11/05,464,
+07DA001,1,2005/11/06,460,
+07DA001,1,2005/11/07,451,
+07DA001,1,2005/11/08,441,
+07DA001,1,2005/11/09,430,B
+07DA001,1,2005/11/10,410,B
+07DA001,1,2005/11/11,400,B
+07DA001,1,2005/11/12,390,B
+07DA001,1,2005/11/13,360,B
+07DA001,1,2005/11/14,350,B
+07DA001,1,2005/11/15,360,B
+07DA001,1,2005/11/16,370,B
+07DA001,1,2005/11/17,375,B
+07DA001,1,2005/11/18,380,B
+07DA001,1,2005/11/19,385,B
+07DA001,1,2005/11/20,390,B
+07DA001,1,2005/11/21,385,B
+07DA001,1,2005/11/22,375,B
+07DA001,1,2005/11/23,368,B
+07DA001,1,2005/11/24,360,B
+07DA001,1,2005/11/25,345,B
+07DA001,1,2005/11/26,330,B
+07DA001,1,2005/11/27,310,B
+07DA001,1,2005/11/28,290,B
+07DA001,1,2005/11/29,280,B
+07DA001,1,2005/11/30,270,B
+07DA001,1,2005/12/01,260,B
+07DA001,1,2005/12/02,250,B
+07DA001,1,2005/12/03,230,B
+07DA001,1,2005/12/04,210,B
+07DA001,1,2005/12/05,205,B
+07DA001,1,2005/12/06,200,B
+07DA001,1,2005/12/07,200,B
+07DA001,1,2005/12/08,203,B
+07DA001,1,2005/12/09,205,B
+07DA001,1,2005/12/10,208,B
+07DA001,1,2005/12/11,216,B
+07DA001,1,2005/12/12,224,B
+07DA001,1,2005/12/13,232,B
+07DA001,1,2005/12/14,240,B
+07DA001,1,2005/12/15,238,B
+07DA001,1,2005/12/16,235,B
+07DA001,1,2005/12/17,230,B
+07DA001,1,2005/12/18,224,B
+07DA001,1,2005/12/19,219,B
+07DA001,1,2005/12/20,213,B
+07DA001,1,2005/12/21,216,B
+07DA001,1,2005/12/22,218,B
+07DA001,1,2005/12/23,219,B
+07DA001,1,2005/12/24,220,B
+07DA001,1,2005/12/25,219,B
+07DA001,1,2005/12/26,218,B
+07DA001,1,2005/12/27,215,B
+07DA001,1,2005/12/28,213,B
+07DA001,1,2005/12/29,210,B
+07DA001,1,2005/12/30,205,B
+07DA001,1,2005/12/31,200,B
+07DA001,1,2006/01/01,195,B
+07DA001,1,2006/01/02,190,B
+07DA001,1,2006/01/03,185,B
+07DA001,1,2006/01/04,180,B
+07DA001,1,2006/01/05,177,B
+07DA001,1,2006/01/06,175,B
+07DA001,1,2006/01/07,174,B
+07DA001,1,2006/01/08,175,B
+07DA001,1,2006/01/09,176,B
+07DA001,1,2006/01/10,177,B
+07DA001,1,2006/01/11,178,B
+07DA001,1,2006/01/12,178,B
+07DA001,1,2006/01/13,179,B
+07DA001,1,2006/01/14,180,B
+07DA001,1,2006/01/15,179,B
+07DA001,1,2006/01/16,177,B
+07DA001,1,2006/01/17,175,B
+07DA001,1,2006/01/18,173,B
+07DA001,1,2006/01/19,175,B
+07DA001,1,2006/01/20,179,B
+07DA001,1,2006/01/21,185,B
+07DA001,1,2006/01/22,190,B
+07DA001,1,2006/01/23,199,B
+07DA001,1,2006/01/24,199,B
+07DA001,1,2006/01/25,200,B
+07DA001,1,2006/01/26,190,B
+07DA001,1,2006/01/27,186,B
+07DA001,1,2006/01/28,187,B
+07DA001,1,2006/01/29,190,B
+07DA001,1,2006/01/30,195,B
+07DA001,1,2006/01/31,200,B
+07DA001,1,2006/02/01,205,B
+07DA001,1,2006/02/02,208,B
+07DA001,1,2006/02/03,210,B
+07DA001,1,2006/02/04,210,B
+07DA001,1,2006/02/05,210,B
+07DA001,1,2006/02/06,209,B
+07DA001,1,2006/02/07,208,B
+07DA001,1,2006/02/08,207,B
+07DA001,1,2006/02/09,205,B
+07DA001,1,2006/02/10,202,B
+07DA001,1,2006/02/11,192,B
+07DA001,1,2006/02/12,193,B
+07DA001,1,2006/02/13,193,B
+07DA001,1,2006/02/14,188,B
+07DA001,1,2006/02/15,179,B
+07DA001,1,2006/02/16,168,B
+07DA001,1,2006/02/17,158,B
+07DA001,1,2006/02/18,154,B
+07DA001,1,2006/02/19,156,B
+07DA001,1,2006/02/20,158,B
+07DA001,1,2006/02/21,160,B
+07DA001,1,2006/02/22,161,B
+07DA001,1,2006/02/23,160,B
+07DA001,1,2006/02/24,158,B
+07DA001,1,2006/02/25,156,B
+07DA001,1,2006/02/26,154,B
+07DA001,1,2006/02/27,152,B
+07DA001,1,2006/02/28,149,B
+07DA001,1,2006/03/01,150,B
+07DA001,1,2006/03/02,152,B
+07DA001,1,2006/03/03,154,B
+07DA001,1,2006/03/04,156,B
+07DA001,1,2006/03/05,158,B
+07DA001,1,2006/03/06,159,B
+07DA001,1,2006/03/07,160,B
+07DA001,1,2006/03/08,162,B
+07DA001,1,2006/03/09,160,B
+07DA001,1,2006/03/10,159,B
+07DA001,1,2006/03/11,158,B
+07DA001,1,2006/03/12,156,B
+07DA001,1,2006/03/13,157,B
+07DA001,1,2006/03/14,155,B
+07DA001,1,2006/03/15,157,B
+07DA001,1,2006/03/16,159,B
+07DA001,1,2006/03/17,159,B
+07DA001,1,2006/03/18,160,B
+07DA001,1,2006/03/19,160,B
+07DA001,1,2006/03/20,160,B
+07DA001,1,2006/03/21,158,B
+07DA001,1,2006/03/22,155,B
+07DA001,1,2006/03/23,153,B
+07DA001,1,2006/03/24,153,B
+07DA001,1,2006/03/25,155,B
+07DA001,1,2006/03/26,158,B
+07DA001,1,2006/03/27,162,B
+07DA001,1,2006/03/28,161,B
+07DA001,1,2006/03/29,163,B
+07DA001,1,2006/03/30,163,B
+07DA001,1,2006/03/31,164,B
+07DA001,1,2006/04/01,167,B
+07DA001,1,2006/04/02,168,B
+07DA001,1,2006/04/03,171,B
+07DA001,1,2006/04/04,176,B
+07DA001,1,2006/04/05,179,B
+07DA001,1,2006/04/06,187,B
+07DA001,1,2006/04/07,203,B
+07DA001,1,2006/04/08,216,B
+07DA001,1,2006/04/09,235,B
+07DA001,1,2006/04/10,240,B
+07DA001,1,2006/04/11,257,B
+07DA001,1,2006/04/12,255,B
+07DA001,1,2006/04/13,274,B
+07DA001,1,2006/04/14,345,B
+07DA001,1,2006/04/15,591,B
+07DA001,1,2006/04/16,700,B
+07DA001,1,2006/04/17,800,B
+07DA001,1,2006/04/18,850,B
+07DA001,1,2006/04/19,860,B
+07DA001,1,2006/04/20,839,
+07DA001,1,2006/04/21,801,
+07DA001,1,2006/04/22,808,
+07DA001,1,2006/04/23,767,
+07DA001,1,2006/04/24,640,
+07DA001,1,2006/04/25,568,
+07DA001,1,2006/04/26,531,
+07DA001,1,2006/04/27,508,
+07DA001,1,2006/04/28,485,
+07DA001,1,2006/04/29,469,
+07DA001,1,2006/04/30,464,
+07DA001,1,2006/05/01,463,
+07DA001,1,2006/05/02,489,
+07DA001,1,2006/05/03,509,
+07DA001,1,2006/05/04,534,
+07DA001,1,2006/05/05,565,
+07DA001,1,2006/05/06,577,
+07DA001,1,2006/05/07,588,
+07DA001,1,2006/05/08,589,
+07DA001,1,2006/05/09,607,
+07DA001,1,2006/05/10,614,
+07DA001,1,2006/05/11,609,
+07DA001,1,2006/05/12,610,
+07DA001,1,2006/05/13,651,
+07DA001,1,2006/05/14,705,
+07DA001,1,2006/05/15,721,
+07DA001,1,2006/05/16,705,
+07DA001,1,2006/05/17,691,
+07DA001,1,2006/05/18,679,
+07DA001,1,2006/05/19,657,
+07DA001,1,2006/05/20,617,
+07DA001,1,2006/05/21,604,
+07DA001,1,2006/05/22,609,
+07DA001,1,2006/05/23,620,
+07DA001,1,2006/05/24,774,
+07DA001,1,2006/05/25,1100,
+07DA001,1,2006/05/26,1200,
+07DA001,1,2006/05/27,1300,
+07DA001,1,2006/05/28,1320,
+07DA001,1,2006/05/29,1450,
+07DA001,1,2006/05/30,1560,
+07DA001,1,2006/05/31,1430,
+07DA001,1,2006/06/01,1310,A
+07DA001,1,2006/06/02,1210,A
+07DA001,1,2006/06/03,1130,
+07DA001,1,2006/06/04,1060,
+07DA001,1,2006/06/05,998,
+07DA001,1,2006/06/06,953,
+07DA001,1,2006/06/07,928,
+07DA001,1,2006/06/08,939,
+07DA001,1,2006/06/09,1000,
+07DA001,1,2006/06/10,960,
+07DA001,1,2006/06/11,888,
+07DA001,1,2006/06/12,829,
+07DA001,1,2006/06/13,793,
+07DA001,1,2006/06/14,781,
+07DA001,1,2006/06/15,853,
+07DA001,1,2006/06/16,925,
+07DA001,1,2006/06/17,922,
+07DA001,1,2006/06/18,906,
+07DA001,1,2006/06/19,910,
+07DA001,1,2006/06/20,1020,
+07DA001,1,2006/06/21,1370,
+07DA001,1,2006/06/22,1370,
+07DA001,1,2006/06/23,1220,
+07DA001,1,2006/06/24,1100,
+07DA001,1,2006/06/25,1010,
+07DA001,1,2006/06/26,933,
+07DA001,1,2006/06/27,879,
+07DA001,1,2006/06/28,812,
+07DA001,1,2006/06/29,752,
+07DA001,1,2006/06/30,707,
+07DA001,1,2006/07/01,684,
+07DA001,1,2006/07/02,677,
+07DA001,1,2006/07/03,694,
+07DA001,1,2006/07/04,714,
+07DA001,1,2006/07/05,716,
+07DA001,1,2006/07/06,682,
+07DA001,1,2006/07/07,643,
+07DA001,1,2006/07/08,615,
+07DA001,1,2006/07/09,604,
+07DA001,1,2006/07/10,617,
+07DA001,1,2006/07/11,697,
+07DA001,1,2006/07/12,739,
+07DA001,1,2006/07/13,791,
+07DA001,1,2006/07/14,847,
+07DA001,1,2006/07/15,816,
+07DA001,1,2006/07/16,839,
+07DA001,1,2006/07/17,884,
+07DA001,1,2006/07/18,831,
+07DA001,1,2006/07/19,785,
+07DA001,1,2006/07/20,762,
+07DA001,1,2006/07/21,721,
+07DA001,1,2006/07/22,676,
+07DA001,1,2006/07/23,632,
+07DA001,1,2006/07/24,602,
+07DA001,1,2006/07/25,577,
+07DA001,1,2006/07/26,547,
+07DA001,1,2006/07/27,530,
+07DA001,1,2006/07/28,525,
+07DA001,1,2006/07/29,550,
+07DA001,1,2006/07/30,598,
+07DA001,1,2006/07/31,655,
+07DA001,1,2006/08/01,693,
+07DA001,1,2006/08/02,701,
+07DA001,1,2006/08/03,739,
+07DA001,1,2006/08/04,839,
+07DA001,1,2006/08/05,844,
+07DA001,1,2006/08/06,787,
+07DA001,1,2006/08/07,715,
+07DA001,1,2006/08/08,659,
+07DA001,1,2006/08/09,621,
+07DA001,1,2006/08/10,589,
+07DA001,1,2006/08/11,571,
+07DA001,1,2006/08/12,582,
+07DA001,1,2006/08/13,572,
+07DA001,1,2006/08/14,559,
+07DA001,1,2006/08/15,574,
+07DA001,1,2006/08/16,593,
+07DA001,1,2006/08/17,593,
+07DA001,1,2006/08/18,577,
+07DA001,1,2006/08/19,571,
+07DA001,1,2006/08/20,552,
+07DA001,1,2006/08/21,531,
+07DA001,1,2006/08/22,533,
+07DA001,1,2006/08/23,535,
+07DA001,1,2006/08/24,512,
+07DA001,1,2006/08/25,498,
+07DA001,1,2006/08/26,492,
+07DA001,1,2006/08/27,484,
+07DA001,1,2006/08/28,471,
+07DA001,1,2006/08/29,462,
+07DA001,1,2006/08/30,460,
+07DA001,1,2006/08/31,479,
+07DA001,1,2006/09/01,477,
+07DA001,1,2006/09/02,465,
+07DA001,1,2006/09/03,465,
+07DA001,1,2006/09/04,462,
+07DA001,1,2006/09/05,462,
+07DA001,1,2006/09/06,467,
+07DA001,1,2006/09/07,457,
+07DA001,1,2006/09/08,432,
+07DA001,1,2006/09/09,405,
+07DA001,1,2006/09/10,388,
+07DA001,1,2006/09/11,385,
+07DA001,1,2006/09/12,387,
+07DA001,1,2006/09/13,383,
+07DA001,1,2006/09/14,389,
+07DA001,1,2006/09/15,393,
+07DA001,1,2006/09/16,393,
+07DA001,1,2006/09/17,402,
+07DA001,1,2006/09/18,407,
+07DA001,1,2006/09/19,405,
+07DA001,1,2006/09/20,408,
+07DA001,1,2006/09/21,423,
+07DA001,1,2006/09/22,424,
+07DA001,1,2006/09/23,415,
+07DA001,1,2006/09/24,412,
+07DA001,1,2006/09/25,409,
+07DA001,1,2006/09/26,424,
+07DA001,1,2006/09/27,462,
+07DA001,1,2006/09/28,505,
+07DA001,1,2006/09/29,533,
+07DA001,1,2006/09/30,546,
+07DA001,1,2006/10/01,558,
+07DA001,1,2006/10/02,586,
+07DA001,1,2006/10/03,614,
+07DA001,1,2006/10/04,611,
+07DA001,1,2006/10/05,586,
+07DA001,1,2006/10/06,560,
+07DA001,1,2006/10/07,540,
+07DA001,1,2006/10/08,524,
+07DA001,1,2006/10/09,502,
+07DA001,1,2006/10/10,476,
+07DA001,1,2006/10/11,450,
+07DA001,1,2006/10/12,432,
+07DA001,1,2006/10/13,418,A
+07DA001,1,2006/10/14,408,
+07DA001,1,2006/10/15,399,
+07DA001,1,2006/10/16,391,
+07DA001,1,2006/10/17,382,
+07DA001,1,2006/10/18,375,
+07DA001,1,2006/10/19,372,A
+07DA001,1,2006/10/20,370,
+07DA001,1,2006/10/21,371,
+07DA001,1,2006/10/22,372,
+07DA001,1,2006/10/23,375,
+07DA001,1,2006/10/24,376,
+07DA001,1,2006/10/25,379,
+07DA001,1,2006/10/26,379,
+07DA001,1,2006/10/27,379,
+07DA001,1,2006/10/28,382,
+07DA001,1,2006/10/29,373,B
+07DA001,1,2006/10/30,357,B
+07DA001,1,2006/10/31,339,B
+07DA001,1,2006/11/01,334,B
+07DA001,1,2006/11/02,327,B
+07DA001,1,2006/11/03,319,B
+07DA001,1,2006/11/04,313,B
+07DA001,1,2006/11/05,319,B
+07DA001,1,2006/11/06,323,B
+07DA001,1,2006/11/07,302,B
+07DA001,1,2006/11/08,312,B
+07DA001,1,2006/11/09,302,B
+07DA001,1,2006/11/10,298,B
+07DA001,1,2006/11/11,297,B
+07DA001,1,2006/11/12,296,B
+07DA001,1,2006/11/13,295,B
+07DA001,1,2006/11/14,295,B
+07DA001,1,2006/11/15,296,B
+07DA001,1,2006/11/16,311,B
+07DA001,1,2006/11/17,311,B
+07DA001,1,2006/11/18,288,B
+07DA001,1,2006/11/19,277,B
+07DA001,1,2006/11/20,283,B
+07DA001,1,2006/11/21,290,B
+07DA001,1,2006/11/22,281,B
+07DA001,1,2006/11/23,281,B
+07DA001,1,2006/11/24,270,B
+07DA001,1,2006/11/25,255,B
+07DA001,1,2006/11/26,245,B
+07DA001,1,2006/11/27,235,B
+07DA001,1,2006/11/28,228,B
+07DA001,1,2006/11/29,221,B
+07DA001,1,2006/11/30,219,B
+07DA001,1,2006/12/01,218,B
+07DA001,1,2006/12/02,219,B
+07DA001,1,2006/12/03,220,B
+07DA001,1,2006/12/04,221,B
+07DA001,1,2006/12/05,226,B
+07DA001,1,2006/12/06,228,B
+07DA001,1,2006/12/07,230,B
+07DA001,1,2006/12/08,232,B
+07DA001,1,2006/12/09,232,B
+07DA001,1,2006/12/10,238,B
+07DA001,1,2006/12/11,244,B
+07DA001,1,2006/12/12,233,B
+07DA001,1,2006/12/13,237,B
+07DA001,1,2006/12/14,234,B
+07DA001,1,2006/12/15,222,B
+07DA001,1,2006/12/16,219,B
+07DA001,1,2006/12/17,210,B
+07DA001,1,2006/12/18,212,B
+07DA001,1,2006/12/19,214,B
+07DA001,1,2006/12/20,216,B
+07DA001,1,2006/12/21,211,B
+07DA001,1,2006/12/22,204,B
+07DA001,1,2006/12/23,202,B
+07DA001,1,2006/12/24,201,B
+07DA001,1,2006/12/25,192,B
+07DA001,1,2006/12/26,187,B
+07DA001,1,2006/12/27,185,B
+07DA001,1,2006/12/28,176,B
+07DA001,1,2006/12/29,168,B
+07DA001,1,2006/12/30,162,B
+07DA001,1,2006/12/31,155,B
+07DA001,1,2007/01/01,153,B
+07DA001,1,2007/01/02,153,B
+07DA001,1,2007/01/03,159,B
+07DA001,1,2007/01/04,162,B
+07DA001,1,2007/01/05,158,B
+07DA001,1,2007/01/06,156,B
+07DA001,1,2007/01/07,156,B
+07DA001,1,2007/01/08,158,B
+07DA001,1,2007/01/09,159,B
+07DA001,1,2007/01/10,155,B
+07DA001,1,2007/01/11,151,B
+07DA001,1,2007/01/12,150,B
+07DA001,1,2007/01/13,152,B
+07DA001,1,2007/01/14,152,B
+07DA001,1,2007/01/15,154,B
+07DA001,1,2007/01/16,155,B
+07DA001,1,2007/01/17,154,B
+07DA001,1,2007/01/18,148,B
+07DA001,1,2007/01/19,148,B
+07DA001,1,2007/01/20,147,B
+07DA001,1,2007/01/21,145,B
+07DA001,1,2007/01/22,144,B
+07DA001,1,2007/01/23,140,B
+07DA001,1,2007/01/24,135,B
+07DA001,1,2007/01/25,131,B
+07DA001,1,2007/01/26,133,B
+07DA001,1,2007/01/27,136,B
+07DA001,1,2007/01/28,140,B
+07DA001,1,2007/01/29,142,B
+07DA001,1,2007/01/30,143,B
+07DA001,1,2007/01/31,143,B
+07DA001,1,2007/02/01,143,B
+07DA001,1,2007/02/02,144,B
+07DA001,1,2007/02/03,142,B
+07DA001,1,2007/02/04,141,B
+07DA001,1,2007/02/05,143,B
+07DA001,1,2007/02/06,143,B
+07DA001,1,2007/02/07,141,B
+07DA001,1,2007/02/08,137,B
+07DA001,1,2007/02/09,131,B
+07DA001,1,2007/02/10,127,B
+07DA001,1,2007/02/11,125,B
+07DA001,1,2007/02/12,124,B
+07DA001,1,2007/02/13,122,B
+07DA001,1,2007/02/14,120,B
+07DA001,1,2007/02/15,121,B
+07DA001,1,2007/02/16,121,B
+07DA001,1,2007/02/17,122,B
+07DA001,1,2007/02/18,126,B
+07DA001,1,2007/02/19,126,B
+07DA001,1,2007/02/20,124,B
+07DA001,1,2007/02/21,121,B
+07DA001,1,2007/02/22,120,B
+07DA001,1,2007/02/23,122,B
+07DA001,1,2007/02/24,123,B
+07DA001,1,2007/02/25,123,B
+07DA001,1,2007/02/26,122,B
+07DA001,1,2007/02/27,125,B
+07DA001,1,2007/02/28,127,B
+07DA001,1,2007/03/01,130,B
+07DA001,1,2007/03/02,131,B
+07DA001,1,2007/03/03,133,B
+07DA001,1,2007/03/04,133,B
+07DA001,1,2007/03/05,132,B
+07DA001,1,2007/03/06,131,B
+07DA001,1,2007/03/07,130,B
+07DA001,1,2007/03/08,129,B
+07DA001,1,2007/03/09,129,B
+07DA001,1,2007/03/10,131,B
+07DA001,1,2007/03/11,132,B
+07DA001,1,2007/03/12,133,B
+07DA001,1,2007/03/13,133,B
+07DA001,1,2007/03/14,132,B
+07DA001,1,2007/03/15,131,B
+07DA001,1,2007/03/16,134,B
+07DA001,1,2007/03/17,137,B
+07DA001,1,2007/03/18,139,B
+07DA001,1,2007/03/19,141,B
+07DA001,1,2007/03/20,144,B
+07DA001,1,2007/03/21,146,B
+07DA001,1,2007/03/22,145,B
+07DA001,1,2007/03/23,146,B
+07DA001,1,2007/03/24,149,B
+07DA001,1,2007/03/25,156,B
+07DA001,1,2007/03/26,157,B
+07DA001,1,2007/03/27,157,B
+07DA001,1,2007/03/28,161,B
+07DA001,1,2007/03/29,162,B
+07DA001,1,2007/03/30,168,B
+07DA001,1,2007/03/31,172,B
+07DA001,1,2007/04/01,172,B
+07DA001,1,2007/04/02,170,B
+07DA001,1,2007/04/03,170,B
+07DA001,1,2007/04/04,169,B
+07DA001,1,2007/04/05,171,B
+07DA001,1,2007/04/06,172,B
+07DA001,1,2007/04/07,172,B
+07DA001,1,2007/04/08,173,B
+07DA001,1,2007/04/09,172,B
+07DA001,1,2007/04/10,169,B
+07DA001,1,2007/04/11,168,B
+07DA001,1,2007/04/12,169,B
+07DA001,1,2007/04/13,168,B
+07DA001,1,2007/04/14,170,B
+07DA001,1,2007/04/15,183,B
+07DA001,1,2007/04/16,198,B
+07DA001,1,2007/04/17,237,B
+07DA001,1,2007/04/18,317,B
+07DA001,1,2007/04/19,420,B
+07DA001,1,2007/04/20,1200,B
+07DA001,1,2007/04/21,1800,B
+07DA001,1,2007/04/22,1760,B
+07DA001,1,2007/04/23,1630,B
+07DA001,1,2007/04/24,1530,
+07DA001,1,2007/04/25,1590,
+07DA001,1,2007/04/26,1640,
+07DA001,1,2007/04/27,1710,
+07DA001,1,2007/04/28,1740,
+07DA001,1,2007/04/29,1780,
+07DA001,1,2007/04/30,1810,
+07DA001,1,2007/05/01,1790,
+07DA001,1,2007/05/02,1750,
+07DA001,1,2007/05/03,1690,
+07DA001,1,2007/05/04,1630,
+07DA001,1,2007/05/05,1590,
+07DA001,1,2007/05/06,1620,
+07DA001,1,2007/05/07,1920,
+07DA001,1,2007/05/08,2840,
+07DA001,1,2007/05/09,3170,A
+07DA001,1,2007/05/10,2980,
+07DA001,1,2007/05/11,2760,
+07DA001,1,2007/05/12,2670,
+07DA001,1,2007/05/13,2620,
+07DA001,1,2007/05/14,2430,
+07DA001,1,2007/05/15,2200,
+07DA001,1,2007/05/16,2000,
+07DA001,1,2007/05/17,1840,
+07DA001,1,2007/05/18,1680,
+07DA001,1,2007/05/19,1560,
+07DA001,1,2007/05/20,1470,
+07DA001,1,2007/05/21,1390,
+07DA001,1,2007/05/22,1340,
+07DA001,1,2007/05/23,1340,
+07DA001,1,2007/05/24,1350,
+07DA001,1,2007/05/25,1340,
+07DA001,1,2007/05/26,1310,
+07DA001,1,2007/05/27,1250,
+07DA001,1,2007/05/28,1190,
+07DA001,1,2007/05/29,1140,
+07DA001,1,2007/05/30,1100,
+07DA001,1,2007/05/31,1050,
+07DA001,1,2007/06/01,1010,
+07DA001,1,2007/06/02,991,
+07DA001,1,2007/06/03,996,
+07DA001,1,2007/06/04,969,A
+07DA001,1,2007/06/05,962,A
+07DA001,1,2007/06/06,1040,
+07DA001,1,2007/06/07,1170,
+07DA001,1,2007/06/08,1270,
+07DA001,1,2007/06/09,1410,
+07DA001,1,2007/06/10,1600,
+07DA001,1,2007/06/11,1910,
+07DA001,1,2007/06/12,1850,
+07DA001,1,2007/06/13,1640,
+07DA001,1,2007/06/14,1480,
+07DA001,1,2007/06/15,1400,
+07DA001,1,2007/06/16,1350,
+07DA001,1,2007/06/17,1280,
+07DA001,1,2007/06/18,1180,
+07DA001,1,2007/06/19,1100,
+07DA001,1,2007/06/20,1020,
+07DA001,1,2007/06/21,1020,
+07DA001,1,2007/06/22,1070,
+07DA001,1,2007/06/23,1120,
+07DA001,1,2007/06/24,1140,
+07DA001,1,2007/06/25,1110,
+07DA001,1,2007/06/26,1100,
+07DA001,1,2007/06/27,1160,
+07DA001,1,2007/06/28,1200,
+07DA001,1,2007/06/29,1180,
+07DA001,1,2007/06/30,1110,
+07DA001,1,2007/07/01,1080,
+07DA001,1,2007/07/02,1030,
+07DA001,1,2007/07/03,999,
+07DA001,1,2007/07/04,1100,
+07DA001,1,2007/07/05,1210,
+07DA001,1,2007/07/06,1200,
+07DA001,1,2007/07/07,1090,
+07DA001,1,2007/07/08,1010,
+07DA001,1,2007/07/09,997,
+07DA001,1,2007/07/10,1000,
+07DA001,1,2007/07/11,1070,
+07DA001,1,2007/07/12,1130,
+07DA001,1,2007/07/13,1080,
+07DA001,1,2007/07/14,995,
+07DA001,1,2007/07/15,927,
+07DA001,1,2007/07/16,877,
+07DA001,1,2007/07/17,880,
+07DA001,1,2007/07/18,892,
+07DA001,1,2007/07/19,910,
+07DA001,1,2007/07/20,974,
+07DA001,1,2007/07/21,1010,
+07DA001,1,2007/07/22,1010,A
+07DA001,1,2007/07/23,975,E
+07DA001,1,2007/07/24,950,E
+07DA001,1,2007/07/25,1000,E
+07DA001,1,2007/07/26,960,E
+07DA001,1,2007/07/27,900,E
+07DA001,1,2007/07/28,860,E
+07DA001,1,2007/07/29,900,E
+07DA001,1,2007/07/30,935,E
+07DA001,1,2007/07/31,900,E
+07DA001,1,2007/08/01,800,E
+07DA001,1,2007/08/02,750,E
+07DA001,1,2007/08/03,720,E
+07DA001,1,2007/08/04,710,E
+07DA001,1,2007/08/05,700,E
+07DA001,1,2007/08/06,680,E
+07DA001,1,2007/08/07,675,E
+07DA001,1,2007/08/08,750,E
+07DA001,1,2007/08/09,850,E
+07DA001,1,2007/08/10,845,E
+07DA001,1,2007/08/11,780,E
+07DA001,1,2007/08/12,700,E
+07DA001,1,2007/08/13,719,A
+07DA001,1,2007/08/14,728,
+07DA001,1,2007/08/15,748,
+07DA001,1,2007/08/16,745,
+07DA001,1,2007/08/17,752,
+07DA001,1,2007/08/18,736,
+07DA001,1,2007/08/19,706,
+07DA001,1,2007/08/20,688,
+07DA001,1,2007/08/21,676,
+07DA001,1,2007/08/22,674,
+07DA001,1,2007/08/23,676,
+07DA001,1,2007/08/24,693,
+07DA001,1,2007/08/25,711,
+07DA001,1,2007/08/26,723,
+07DA001,1,2007/08/27,715,
+07DA001,1,2007/08/28,708,
+07DA001,1,2007/08/29,685,
+07DA001,1,2007/08/30,669,
+07DA001,1,2007/08/31,664,
+07DA001,1,2007/09/01,661,
+07DA001,1,2007/09/02,666,
+07DA001,1,2007/09/03,652,
+07DA001,1,2007/09/04,639,
+07DA001,1,2007/09/05,623,
+07DA001,1,2007/09/06,612,
+07DA001,1,2007/09/07,631,
+07DA001,1,2007/09/08,666,
+07DA001,1,2007/09/09,655,
+07DA001,1,2007/09/10,640,
+07DA001,1,2007/09/11,631,
+07DA001,1,2007/09/12,618,
+07DA001,1,2007/09/13,598,A
+07DA001,1,2007/09/14,585,A
+07DA001,1,2007/09/15,562,
+07DA001,1,2007/09/16,544,
+07DA001,1,2007/09/17,524,
+07DA001,1,2007/09/18,511,
+07DA001,1,2007/09/19,517,
+07DA001,1,2007/09/20,535,
+07DA001,1,2007/09/21,525,
+07DA001,1,2007/09/22,508,
+07DA001,1,2007/09/23,495,
+07DA001,1,2007/09/24,484,
+07DA001,1,2007/09/25,477,A
+07DA001,1,2007/09/26,466,
+07DA001,1,2007/09/27,456,
+07DA001,1,2007/09/28,444,
+07DA001,1,2007/09/29,434,
+07DA001,1,2007/09/30,426,
+07DA001,1,2007/10/01,421,A
+07DA001,1,2007/10/02,410,
+07DA001,1,2007/10/03,403,
+07DA001,1,2007/10/04,394,
+07DA001,1,2007/10/05,389,
+07DA001,1,2007/10/06,391,
+07DA001,1,2007/10/07,396,
+07DA001,1,2007/10/08,388,
+07DA001,1,2007/10/09,377,
+07DA001,1,2007/10/10,367,
+07DA001,1,2007/10/11,365,
+07DA001,1,2007/10/12,360,
+07DA001,1,2007/10/13,357,A
+07DA001,1,2007/10/14,351,A
+07DA001,1,2007/10/15,343,
+07DA001,1,2007/10/16,341,
+07DA001,1,2007/10/17,342,
+07DA001,1,2007/10/18,340,
+07DA001,1,2007/10/19,336,
+07DA001,1,2007/10/20,337,
+07DA001,1,2007/10/21,334,
+07DA001,1,2007/10/22,330,
+07DA001,1,2007/10/23,325,
+07DA001,1,2007/10/24,323,
+07DA001,1,2007/10/25,324,
+07DA001,1,2007/10/26,318,
+07DA001,1,2007/10/27,313,
+07DA001,1,2007/10/28,312,
+07DA001,1,2007/10/29,316,
+07DA001,1,2007/10/30,322,
+07DA001,1,2007/10/31,316,
+07DA001,1,2007/11/01,341,
+07DA001,1,2007/11/02,405,
+07DA001,1,2007/11/03,391,
+07DA001,1,2007/11/04,370,
+07DA001,1,2007/11/05,340,B
+07DA001,1,2007/11/06,320,B
+07DA001,1,2007/11/07,300,B
+07DA001,1,2007/11/08,280,B
+07DA001,1,2007/11/09,262,B
+07DA001,1,2007/11/10,260,B
+07DA001,1,2007/11/11,262,B
+07DA001,1,2007/11/12,264,B
+07DA001,1,2007/11/13,262,B
+07DA001,1,2007/11/14,257,B
+07DA001,1,2007/11/15,255,B
+07DA001,1,2007/11/16,260,B
+07DA001,1,2007/11/17,265,B
+07DA001,1,2007/11/18,275,B
+07DA001,1,2007/11/19,280,B
+07DA001,1,2007/11/20,277,B
+07DA001,1,2007/11/21,270,B
+07DA001,1,2007/11/22,260,B
+07DA001,1,2007/11/23,250,B
+07DA001,1,2007/11/24,240,B
+07DA001,1,2007/11/25,230,B
+07DA001,1,2007/11/26,220,B
+07DA001,1,2007/11/27,215,B
+07DA001,1,2007/11/28,210,B
+07DA001,1,2007/11/29,207,B
+07DA001,1,2007/11/30,209,B
+07DA001,1,2007/12/01,210,B
+07DA001,1,2007/12/02,215,B
+07DA001,1,2007/12/03,220,B
+07DA001,1,2007/12/04,220,B
+07DA001,1,2007/12/05,218,B
+07DA001,1,2007/12/06,217,B
+07DA001,1,2007/12/07,215,B
+07DA001,1,2007/12/08,211,B
+07DA001,1,2007/12/09,208,B
+07DA001,1,2007/12/10,205,B
+07DA001,1,2007/12/11,200,B
+07DA001,1,2007/12/12,198,B
+07DA001,1,2007/12/13,195,B
+07DA001,1,2007/12/14,190,B
+07DA001,1,2007/12/15,185,B
+07DA001,1,2007/12/16,184,B
+07DA001,1,2007/12/17,183,B
+07DA001,1,2007/12/18,182,B
+07DA001,1,2007/12/19,181,B
+07DA001,1,2007/12/20,180,B
+07DA001,1,2007/12/21,178,B
+07DA001,1,2007/12/22,175,B
+07DA001,1,2007/12/23,172,B
+07DA001,1,2007/12/24,170,B
+07DA001,1,2007/12/25,167,B
+07DA001,1,2007/12/26,165,B
+07DA001,1,2007/12/27,162,B
+07DA001,1,2007/12/28,161,B
+07DA001,1,2007/12/29,160,B
+07DA001,1,2007/12/30,158,B
+07DA001,1,2007/12/31,158,B
+07DA001,1,2008/01/01,160,B
+07DA001,1,2008/01/02,164,B
+07DA001,1,2008/01/03,172,B
+07DA001,1,2008/01/04,170,B
+07DA001,1,2008/01/05,168,B
+07DA001,1,2008/01/06,167,B
+07DA001,1,2008/01/07,165,B
+07DA001,1,2008/01/08,166,B
+07DA001,1,2008/01/09,168,B
+07DA001,1,2008/01/10,170,B
+07DA001,1,2008/01/11,173,B
+07DA001,1,2008/01/12,178,B
+07DA001,1,2008/01/13,188,B
+07DA001,1,2008/01/14,187,B
+07DA001,1,2008/01/15,186,B
+07DA001,1,2008/01/16,185,B
+07DA001,1,2008/01/17,183,B
+07DA001,1,2008/01/18,180,B
+07DA001,1,2008/01/19,181,B
+07DA001,1,2008/01/20,182,B
+07DA001,1,2008/01/21,185,B
+07DA001,1,2008/01/22,191,B
+07DA001,1,2008/01/23,191,B
+07DA001,1,2008/01/24,191,B
+07DA001,1,2008/01/25,191,B
+07DA001,1,2008/01/26,192,B
+07DA001,1,2008/01/27,193,B
+07DA001,1,2008/01/28,191,B
+07DA001,1,2008/01/29,180,B
+07DA001,1,2008/01/30,170,B
+07DA001,1,2008/01/31,150,B
+07DA001,1,2008/02/01,145,B
+07DA001,1,2008/02/02,140,B
+07DA001,1,2008/02/03,139,B
+07DA001,1,2008/02/04,140,B
+07DA001,1,2008/02/05,141,B
+07DA001,1,2008/02/06,141,B
+07DA001,1,2008/02/07,140,B
+07DA001,1,2008/02/08,138,B
+07DA001,1,2008/02/09,136,B
+07DA001,1,2008/02/10,135,B
+07DA001,1,2008/02/11,135,B
+07DA001,1,2008/02/12,136,B
+07DA001,1,2008/02/13,137,B
+07DA001,1,2008/02/14,138,B
+07DA001,1,2008/02/15,139,B
+07DA001,1,2008/02/16,140,B
+07DA001,1,2008/02/17,141,B
+07DA001,1,2008/02/18,142,B
+07DA001,1,2008/02/19,144,B
+07DA001,1,2008/02/20,146,B
+07DA001,1,2008/02/21,148,B
+07DA001,1,2008/02/22,150,B
+07DA001,1,2008/02/23,152,B
+07DA001,1,2008/02/24,152,B
+07DA001,1,2008/02/25,151,B
+07DA001,1,2008/02/26,149,B
+07DA001,1,2008/02/27,148,B
+07DA001,1,2008/02/28,147,B
+07DA001,1,2008/02/29,146,B
+07DA001,1,2008/03/01,143,B
+07DA001,1,2008/03/02,141,B
+07DA001,1,2008/03/03,139,B
+07DA001,1,2008/03/04,138,B
+07DA001,1,2008/03/05,137,B
+07DA001,1,2008/03/06,136,B
+07DA001,1,2008/03/07,135,B
+07DA001,1,2008/03/08,134,B
+07DA001,1,2008/03/09,134,B
+07DA001,1,2008/03/10,136,B
+07DA001,1,2008/03/11,141,B
+07DA001,1,2008/03/12,145,B
+07DA001,1,2008/03/13,147,B
+07DA001,1,2008/03/14,149,B
+07DA001,1,2008/03/15,151,B
+07DA001,1,2008/03/16,152,B
+07DA001,1,2008/03/17,153,B
+07DA001,1,2008/03/18,153,B
+07DA001,1,2008/03/19,154,B
+07DA001,1,2008/03/20,152,B
+07DA001,1,2008/03/21,161,B
+07DA001,1,2008/03/22,166,B
+07DA001,1,2008/03/23,167,B
+07DA001,1,2008/03/24,169,B
+07DA001,1,2008/03/25,170,B
+07DA001,1,2008/03/26,168,B
+07DA001,1,2008/03/27,168,B
+07DA001,1,2008/03/28,168,B
+07DA001,1,2008/03/29,167,B
+07DA001,1,2008/03/30,171,B
+07DA001,1,2008/03/31,177,B
+07DA001,1,2008/04/01,180,B
+07DA001,1,2008/04/02,180,B
+07DA001,1,2008/04/03,179,B
+07DA001,1,2008/04/04,182,B
+07DA001,1,2008/04/05,184,B
+07DA001,1,2008/04/06,183,B
+07DA001,1,2008/04/07,180,B
+07DA001,1,2008/04/08,178,B
+07DA001,1,2008/04/09,179,B
+07DA001,1,2008/04/10,185,B
+07DA001,1,2008/04/11,187,B
+07DA001,1,2008/04/12,189,B
+07DA001,1,2008/04/13,194,B
+07DA001,1,2008/04/14,203,B
+07DA001,1,2008/04/15,207,B
+07DA001,1,2008/04/16,231,B
+07DA001,1,2008/04/17,265,B
+07DA001,1,2008/04/18,295,B
+07DA001,1,2008/04/19,305,B
+07DA001,1,2008/04/20,300,B
+07DA001,1,2008/04/21,290,B
+07DA001,1,2008/04/22,285,B
+07DA001,1,2008/04/23,282,B
+07DA001,1,2008/04/24,279,B
+07DA001,1,2008/04/25,278,B
+07DA001,1,2008/04/26,290,B
+07DA001,1,2008/04/27,320,B
+07DA001,1,2008/04/28,355,B
+07DA001,1,2008/04/29,400,B
+07DA001,1,2008/04/30,470,B
+07DA001,1,2008/05/01,520,E
+07DA001,1,2008/05/02,600,E
+07DA001,1,2008/05/03,700,E
+07DA001,1,2008/05/04,850,E
+07DA001,1,2008/05/05,1000,E
+07DA001,1,2008/05/06,1300,E
+07DA001,1,2008/05/07,1400,E
+07DA001,1,2008/05/08,1420,A
+07DA001,1,2008/05/09,1430,
+07DA001,1,2008/05/10,1420,
+07DA001,1,2008/05/11,1390,
+07DA001,1,2008/05/12,1370,
+07DA001,1,2008/05/13,1380,
+07DA001,1,2008/05/14,1320,
+07DA001,1,2008/05/15,1250,
+07DA001,1,2008/05/16,1220,
+07DA001,1,2008/05/17,1200,
+07DA001,1,2008/05/18,1170,
+07DA001,1,2008/05/19,1130,
+07DA001,1,2008/05/20,1110,
+07DA001,1,2008/05/21,1120,
+07DA001,1,2008/05/22,1180,
+07DA001,1,2008/05/23,1290,
+07DA001,1,2008/05/24,1500,
+07DA001,1,2008/05/25,1590,
+07DA001,1,2008/05/26,1680,
+07DA001,1,2008/05/27,1630,
+07DA001,1,2008/05/28,1510,
+07DA001,1,2008/05/29,1440,
+07DA001,1,2008/05/30,1530,
+07DA001,1,2008/05/31,1510,
+07DA001,1,2008/06/01,1410,
+07DA001,1,2008/06/02,1370,
+07DA001,1,2008/06/03,1340,
+07DA001,1,2008/06/04,1330,
+07DA001,1,2008/06/05,1270,
+07DA001,1,2008/06/06,1210,
+07DA001,1,2008/06/07,1180,
+07DA001,1,2008/06/08,1180,
+07DA001,1,2008/06/09,1200,
+07DA001,1,2008/06/10,1260,
+07DA001,1,2008/06/11,1430,
+07DA001,1,2008/06/12,1730,
+07DA001,1,2008/06/13,1580,
+07DA001,1,2008/06/14,1480,
+07DA001,1,2008/06/15,1470,
+07DA001,1,2008/06/16,1450,
+07DA001,1,2008/06/17,1410,
+07DA001,1,2008/06/18,1350,A
+07DA001,1,2008/06/19,1320,A
+07DA001,1,2008/06/20,1250,
+07DA001,1,2008/06/21,1160,
+07DA001,1,2008/06/22,1110,
+07DA001,1,2008/06/23,1110,
+07DA001,1,2008/06/24,1090,A
+07DA001,1,2008/06/25,1030,
+07DA001,1,2008/06/26,963,
+07DA001,1,2008/06/27,961,
+07DA001,1,2008/06/28,1010,
+07DA001,1,2008/06/29,1030,
+07DA001,1,2008/06/30,970,
+07DA001,1,2008/07/01,927,
+07DA001,1,2008/07/02,879,
+07DA001,1,2008/07/03,827,
+07DA001,1,2008/07/04,806,
+07DA001,1,2008/07/05,887,
+07DA001,1,2008/07/06,1020,
+07DA001,1,2008/07/07,1080,
+07DA001,1,2008/07/08,1090,
+07DA001,1,2008/07/09,1060,
+07DA001,1,2008/07/10,1060,A
+07DA001,1,2008/07/11,1020,
+07DA001,1,2008/07/12,947,
+07DA001,1,2008/07/13,892,
+07DA001,1,2008/07/14,828,A
+07DA001,1,2008/07/15,778,A
+07DA001,1,2008/07/16,778,A
+07DA001,1,2008/07/17,775,
+07DA001,1,2008/07/18,731,
+07DA001,1,2008/07/19,689,
+07DA001,1,2008/07/20,686,
+07DA001,1,2008/07/21,710,
+07DA001,1,2008/07/22,692,
+07DA001,1,2008/07/23,666,
+07DA001,1,2008/07/24,647,
+07DA001,1,2008/07/25,644,
+07DA001,1,2008/07/26,625,
+07DA001,1,2008/07/27,614,
+07DA001,1,2008/07/28,636,
+07DA001,1,2008/07/29,654,
+07DA001,1,2008/07/30,635,
+07DA001,1,2008/07/31,638,A
+07DA001,1,2008/08/01,626,
+07DA001,1,2008/08/02,668,
+07DA001,1,2008/08/03,714,
+07DA001,1,2008/08/04,741,
+07DA001,1,2008/08/05,743,A
+07DA001,1,2008/08/06,745,A
+07DA001,1,2008/08/07,723,
+07DA001,1,2008/08/08,695,
+07DA001,1,2008/08/09,675,A
+07DA001,1,2008/08/10,641,A
+07DA001,1,2008/08/11,618,
+07DA001,1,2008/08/12,632,A
+07DA001,1,2008/08/13,746,
+07DA001,1,2008/08/14,914,
+07DA001,1,2008/08/15,1030,A
+07DA001,1,2008/08/16,1060,
+07DA001,1,2008/08/17,1020,A
+07DA001,1,2008/08/18,963,
+07DA001,1,2008/08/19,913,
+07DA001,1,2008/08/20,868,
+07DA001,1,2008/08/21,835,
+07DA001,1,2008/08/22,810,
+07DA001,1,2008/08/23,812,
+07DA001,1,2008/08/24,803,A
+07DA001,1,2008/08/25,799,
+07DA001,1,2008/08/26,831,A
+07DA001,1,2008/08/27,834,A
+07DA001,1,2008/08/28,783,
+07DA001,1,2008/08/29,715,
+07DA001,1,2008/08/30,668,A
+07DA001,1,2008/08/31,642,A
+07DA001,1,2008/09/01,647,
+07DA001,1,2008/09/02,641,A
+07DA001,1,2008/09/03,603,A
+07DA001,1,2008/09/04,570,A
+07DA001,1,2008/09/05,550,A
+07DA001,1,2008/09/06,579,A
+07DA001,1,2008/09/07,591,A
+07DA001,1,2008/09/08,557,A
+07DA001,1,2008/09/09,532,A
+07DA001,1,2008/09/10,509,A
+07DA001,1,2008/09/11,493,A
+07DA001,1,2008/09/12,481,
+07DA001,1,2008/09/13,466,A
+07DA001,1,2008/09/14,458,A
+07DA001,1,2008/09/15,448,A
+07DA001,1,2008/09/16,438,A
+07DA001,1,2008/09/17,434,
+07DA001,1,2008/09/18,435,A
+07DA001,1,2008/09/19,423,A
+07DA001,1,2008/09/20,433,A
+07DA001,1,2008/09/21,440,A
+07DA001,1,2008/09/22,428,A
+07DA001,1,2008/09/23,418,A
+07DA001,1,2008/09/24,409,A
+07DA001,1,2008/09/25,405,A
+07DA001,1,2008/09/26,406,A
+07DA001,1,2008/09/27,416,A
+07DA001,1,2008/09/28,418,
+07DA001,1,2008/09/29,421,
+07DA001,1,2008/09/30,425,A
+07DA001,1,2008/10/01,415,A
+07DA001,1,2008/10/02,405,A
+07DA001,1,2008/10/03,395,A
+07DA001,1,2008/10/04,384,A
+07DA001,1,2008/10/05,380,A
+07DA001,1,2008/10/06,381,A
+07DA001,1,2008/10/07,373,
+07DA001,1,2008/10/08,376,
+07DA001,1,2008/10/09,379,
+07DA001,1,2008/10/10,390,A
+07DA001,1,2008/10/11,394,A
+07DA001,1,2008/10/12,404,A
+07DA001,1,2008/10/13,408,A
+07DA001,1,2008/10/14,396,A
+07DA001,1,2008/10/15,385,A
+07DA001,1,2008/10/16,372,
+07DA001,1,2008/10/17,365,
+07DA001,1,2008/10/18,358,
+07DA001,1,2008/10/19,353,
+07DA001,1,2008/10/20,345,
+07DA001,1,2008/10/21,339,
+07DA001,1,2008/10/22,336,
+07DA001,1,2008/10/23,335,
+07DA001,1,2008/10/24,330,
+07DA001,1,2008/10/25,324,A
+07DA001,1,2008/10/26,320,
+07DA001,1,2008/10/27,310,B
+07DA001,1,2008/10/28,310,B
+07DA001,1,2008/10/29,306,B
+07DA001,1,2008/10/30,303,B
+07DA001,1,2008/10/31,300,B
+07DA001,1,2008/11/01,295,
+07DA001,1,2008/11/02,298,
+07DA001,1,2008/11/03,294,
+07DA001,1,2008/11/04,296,
+07DA001,1,2008/11/05,295,
+07DA001,1,2008/11/06,299,
+07DA001,1,2008/11/07,298,
+07DA001,1,2008/11/08,299,
+07DA001,1,2008/11/09,301,
+07DA001,1,2008/11/10,302,
+07DA001,1,2008/11/11,293,
+07DA001,1,2008/11/12,289,
+07DA001,1,2008/11/13,293,
+07DA001,1,2008/11/14,280,B
+07DA001,1,2008/11/15,275,B
+07DA001,1,2008/11/16,271,B
+07DA001,1,2008/11/17,254,B
+07DA001,1,2008/11/18,250,B
+07DA001,1,2008/11/19,240,B
+07DA001,1,2008/11/20,210,B
+07DA001,1,2008/11/21,160,B
+07DA001,1,2008/11/22,150,B
+07DA001,1,2008/11/23,142,B
+07DA001,1,2008/11/24,159,B
+07DA001,1,2008/11/25,164,B
+07DA001,1,2008/11/26,175,B
+07DA001,1,2008/11/27,173,B
+07DA001,1,2008/11/28,165,B
+07DA001,1,2008/11/29,172,B
+07DA001,1,2008/11/30,170,B
+07DA001,1,2008/12/01,175,B
+07DA001,1,2008/12/02,174,B
+07DA001,1,2008/12/03,170,B
+07DA001,1,2008/12/04,166,B
+07DA001,1,2008/12/05,162,B
+07DA001,1,2008/12/06,160,B
+07DA001,1,2008/12/07,158,B
+07DA001,1,2008/12/08,156,B
+07DA001,1,2008/12/09,154,B
+07DA001,1,2008/12/10,152,B
+07DA001,1,2008/12/11,150,B
+07DA001,1,2008/12/12,149,B
+07DA001,1,2008/12/13,148,B
+07DA001,1,2008/12/14,147,B
+07DA001,1,2008/12/15,145,B
+07DA001,1,2008/12/16,144,B
+07DA001,1,2008/12/17,143,B
+07DA001,1,2008/12/18,141,B
+07DA001,1,2008/12/19,140,B
+07DA001,1,2008/12/20,138,B
+07DA001,1,2008/12/21,138,B
+07DA001,1,2008/12/22,139,B
+07DA001,1,2008/12/23,139,B
+07DA001,1,2008/12/24,140,B
+07DA001,1,2008/12/25,142,B
+07DA001,1,2008/12/26,144,B
+07DA001,1,2008/12/27,146,B
+07DA001,1,2008/12/28,148,B
+07DA001,1,2008/12/29,146,B
+07DA001,1,2008/12/30,144,B
+07DA001,1,2008/12/31,142,B
+07DA001,1,2009/01/01,141,B
+07DA001,1,2009/01/02,140,B
+07DA001,1,2009/01/03,139,B
+07DA001,1,2009/01/04,139,B
+07DA001,1,2009/01/05,140,B
+07DA001,1,2009/01/06,140,B
+07DA001,1,2009/01/07,139,B
+07DA001,1,2009/01/08,138,B
+07DA001,1,2009/01/09,138,B
+07DA001,1,2009/01/10,139,B
+07DA001,1,2009/01/11,138,B
+07DA001,1,2009/01/12,137,B
+07DA001,1,2009/01/13,136,B
+07DA001,1,2009/01/14,137,B
+07DA001,1,2009/01/15,138,B
+07DA001,1,2009/01/16,139,B
+07DA001,1,2009/01/17,142,B
+07DA001,1,2009/01/18,145,B
+07DA001,1,2009/01/19,147,B
+07DA001,1,2009/01/20,147,B
+07DA001,1,2009/01/21,148,B
+07DA001,1,2009/01/22,150,B
+07DA001,1,2009/01/23,148,B
+07DA001,1,2009/01/24,147,B
+07DA001,1,2009/01/25,147,B
+07DA001,1,2009/01/26,147,B
+07DA001,1,2009/01/27,146,B
+07DA001,1,2009/01/28,143,B
+07DA001,1,2009/01/29,142,B
+07DA001,1,2009/01/30,143,B
+07DA001,1,2009/01/31,144,B
+07DA001,1,2009/02/01,147,B
+07DA001,1,2009/02/02,148,B
+07DA001,1,2009/02/03,148,B
+07DA001,1,2009/02/04,149,B
+07DA001,1,2009/02/05,149,B
+07DA001,1,2009/02/06,147,B
+07DA001,1,2009/02/07,145,B
+07DA001,1,2009/02/08,144,B
+07DA001,1,2009/02/09,144,B
+07DA001,1,2009/02/10,146,B
+07DA001,1,2009/02/11,148,B
+07DA001,1,2009/02/12,149,B
+07DA001,1,2009/02/13,149,B
+07DA001,1,2009/02/14,149,B
+07DA001,1,2009/02/15,148,B
+07DA001,1,2009/02/16,149,B
+07DA001,1,2009/02/17,149,B
+07DA001,1,2009/02/18,149,B
+07DA001,1,2009/02/19,149,B
+07DA001,1,2009/02/20,148,B
+07DA001,1,2009/02/21,146,B
+07DA001,1,2009/02/22,145,B
+07DA001,1,2009/02/23,144,B
+07DA001,1,2009/02/24,143,B
+07DA001,1,2009/02/25,140,B
+07DA001,1,2009/02/26,138,B
+07DA001,1,2009/02/27,136,B
+07DA001,1,2009/02/28,133,B
+07DA001,1,2009/03/01,127,B
+07DA001,1,2009/03/02,128,B
+07DA001,1,2009/03/03,129,B
+07DA001,1,2009/03/04,130,B
+07DA001,1,2009/03/05,129,B
+07DA001,1,2009/03/06,127,B
+07DA001,1,2009/03/07,126,B
+07DA001,1,2009/03/08,124,B
+07DA001,1,2009/03/09,123,B
+07DA001,1,2009/03/10,122,B
+07DA001,1,2009/03/11,122,B
+07DA001,1,2009/03/12,122,B
+07DA001,1,2009/03/13,124,B
+07DA001,1,2009/03/14,128,B
+07DA001,1,2009/03/15,129,B
+07DA001,1,2009/03/16,130,B
+07DA001,1,2009/03/17,130,B
+07DA001,1,2009/03/18,129,B
+07DA001,1,2009/03/19,127,B
+07DA001,1,2009/03/20,126,B
+07DA001,1,2009/03/21,125,B
+07DA001,1,2009/03/22,125,B
+07DA001,1,2009/03/23,125,B
+07DA001,1,2009/03/24,125,B
+07DA001,1,2009/03/25,125,B
+07DA001,1,2009/03/26,125,B
+07DA001,1,2009/03/27,124,B
+07DA001,1,2009/03/28,124,B
+07DA001,1,2009/03/29,124,B
+07DA001,1,2009/03/30,123,B
+07DA001,1,2009/03/31,122,B
+07DA001,1,2009/04/01,123,B
+07DA001,1,2009/04/02,122,B
+07DA001,1,2009/04/03,122,B
+07DA001,1,2009/04/04,128,B
+07DA001,1,2009/04/05,134,B
+07DA001,1,2009/04/06,140,B
+07DA001,1,2009/04/07,149,B
+07DA001,1,2009/04/08,159,B
+07DA001,1,2009/04/09,170,B
+07DA001,1,2009/04/10,180,B
+07DA001,1,2009/04/11,192,B
+07DA001,1,2009/04/12,203,B
+07DA001,1,2009/04/13,219,B
+07DA001,1,2009/04/14,231,B
+07DA001,1,2009/04/15,250,B
+07DA001,1,2009/04/16,273,B
+07DA001,1,2009/04/17,309,B
+07DA001,1,2009/04/18,345,B
+07DA001,1,2009/04/19,390,B
+07DA001,1,2009/04/20,560,B
+07DA001,1,2009/04/21,875,B
+07DA001,1,2009/04/22,725,B
+07DA001,1,2009/04/23,675,B
+07DA001,1,2009/04/24,725,B
+07DA001,1,2009/04/25,850,B
+07DA001,1,2009/04/26,960,B
+07DA001,1,2009/04/27,825,B
+07DA001,1,2009/04/28,740,B
+07DA001,1,2009/04/29,675,B
+07DA001,1,2009/04/30,610,E
+07DA001,1,2009/05/01,550,E
+07DA001,1,2009/05/02,530,E
+07DA001,1,2009/05/03,515,E
+07DA001,1,2009/05/04,510,E
+07DA001,1,2009/05/05,530,E
+07DA001,1,2009/05/06,640,A
+07DA001,1,2009/05/07,710,A
+07DA001,1,2009/05/08,781,A
+07DA001,1,2009/05/09,857,
+07DA001,1,2009/05/10,908,
+07DA001,1,2009/05/11,917,
+07DA001,1,2009/05/12,917,
+07DA001,1,2009/05/13,889,
+07DA001,1,2009/05/14,868,
+07DA001,1,2009/05/15,858,
+07DA001,1,2009/05/16,844,
+07DA001,1,2009/05/17,831,
+07DA001,1,2009/05/18,815,
+07DA001,1,2009/05/19,788,
+07DA001,1,2009/05/20,776,
+07DA001,1,2009/05/21,777,
+07DA001,1,2009/05/22,786,
+07DA001,1,2009/05/23,800,
+07DA001,1,2009/05/24,825,
+07DA001,1,2009/05/25,856,
+07DA001,1,2009/05/26,890,
+07DA001,1,2009/05/27,914,
+07DA001,1,2009/05/28,956,
+07DA001,1,2009/05/29,997,
+07DA001,1,2009/05/30,1010,
+07DA001,1,2009/05/31,1030,
+07DA001,1,2009/06/01,1050,
+07DA001,1,2009/06/02,1050,
+07DA001,1,2009/06/03,1020,
+07DA001,1,2009/06/04,962,
+07DA001,1,2009/06/05,962,
+07DA001,1,2009/06/06,1070,
+07DA001,1,2009/06/07,1020,
+07DA001,1,2009/06/08,958,
+07DA001,1,2009/06/09,943,
+07DA001,1,2009/06/10,1000,
+07DA001,1,2009/06/11,1080,
+07DA001,1,2009/06/12,1050,
+07DA001,1,2009/06/13,968,
+07DA001,1,2009/06/14,887,
+07DA001,1,2009/06/15,824,A
+07DA001,1,2009/06/16,792,
+07DA001,1,2009/06/17,795,
+07DA001,1,2009/06/18,833,
+07DA001,1,2009/06/19,891,A
+07DA001,1,2009/06/20,948,
+07DA001,1,2009/06/21,988,
+07DA001,1,2009/06/22,1060,
+07DA001,1,2009/06/23,1120,
+07DA001,1,2009/06/24,1170,
+07DA001,1,2009/06/25,1100,
+07DA001,1,2009/06/26,1050,
+07DA001,1,2009/06/27,1000,
+07DA001,1,2009/06/28,982,
+07DA001,1,2009/06/29,985,
+07DA001,1,2009/06/30,947,
+07DA001,1,2009/07/01,912,
+07DA001,1,2009/07/02,933,
+07DA001,1,2009/07/03,913,
+07DA001,1,2009/07/04,869,
+07DA001,1,2009/07/05,846,
+07DA001,1,2009/07/06,814,
+07DA001,1,2009/07/07,769,
+07DA001,1,2009/07/08,728,
+07DA001,1,2009/07/09,704,
+07DA001,1,2009/07/10,684,
+07DA001,1,2009/07/11,677,
+07DA001,1,2009/07/12,1040,
+07DA001,1,2009/07/13,1730,
+07DA001,1,2009/07/14,1780,
+07DA001,1,2009/07/15,1650,
+07DA001,1,2009/07/16,1530,
+07DA001,1,2009/07/17,1450,
+07DA001,1,2009/07/18,1380,
+07DA001,1,2009/07/19,1380,
+07DA001,1,2009/07/20,1390,
+07DA001,1,2009/07/21,1310,
+07DA001,1,2009/07/22,1240,
+07DA001,1,2009/07/23,1190,
+07DA001,1,2009/07/24,1150,
+07DA001,1,2009/07/25,1090,
+07DA001,1,2009/07/26,1020,
+07DA001,1,2009/07/27,928,
+07DA001,1,2009/07/28,877,
+07DA001,1,2009/07/29,849,
+07DA001,1,2009/07/30,835,
+07DA001,1,2009/07/31,814,
+07DA001,1,2009/08/01,848,
+07DA001,1,2009/08/02,865,
+07DA001,1,2009/08/03,834,
+07DA001,1,2009/08/04,807,
+07DA001,1,2009/08/05,773,
+07DA001,1,2009/08/06,746,
+07DA001,1,2009/08/07,716,
+07DA001,1,2009/08/08,708,
+07DA001,1,2009/08/09,726,
+07DA001,1,2009/08/10,773,
+07DA001,1,2009/08/11,758,
+07DA001,1,2009/08/12,697,
+07DA001,1,2009/08/13,654,
+07DA001,1,2009/08/14,631,
+07DA001,1,2009/08/15,611,
+07DA001,1,2009/08/16,597,
+07DA001,1,2009/08/17,580,
+07DA001,1,2009/08/18,585,
+07DA001,1,2009/08/19,581,
+07DA001,1,2009/08/20,555,
+07DA001,1,2009/08/21,525,
+07DA001,1,2009/08/22,507,
+07DA001,1,2009/08/23,492,
+07DA001,1,2009/08/24,515,
+07DA001,1,2009/08/25,525,
+07DA001,1,2009/08/26,540,
+07DA001,1,2009/08/27,551,
+07DA001,1,2009/08/28,566,
+07DA001,1,2009/08/29,592,
+07DA001,1,2009/08/30,573,
+07DA001,1,2009/08/31,540,
+07DA001,1,2009/09/01,507,
+07DA001,1,2009/09/02,483,
+07DA001,1,2009/09/03,468,
+07DA001,1,2009/09/04,455,
+07DA001,1,2009/09/05,454,
+07DA001,1,2009/09/06,477,
+07DA001,1,2009/09/07,490,
+07DA001,1,2009/09/08,501,
+07DA001,1,2009/09/09,520,
+07DA001,1,2009/09/10,537,
+07DA001,1,2009/09/11,531,
+07DA001,1,2009/09/12,517,
+07DA001,1,2009/09/13,488,
+07DA001,1,2009/09/14,475,
+07DA001,1,2009/09/15,459,
+07DA001,1,2009/09/16,430,
+07DA001,1,2009/09/17,411,
+07DA001,1,2009/09/18,401,
+07DA001,1,2009/09/19,394,
+07DA001,1,2009/09/20,383,
+07DA001,1,2009/09/21,374,
+07DA001,1,2009/09/22,379,
+07DA001,1,2009/09/23,383,
+07DA001,1,2009/09/24,396,
+07DA001,1,2009/09/25,420,
+07DA001,1,2009/09/26,427,
+07DA001,1,2009/09/27,415,
+07DA001,1,2009/09/28,409,A
+07DA001,1,2009/09/29,392,
+07DA001,1,2009/09/30,371,
+07DA001,1,2009/10/01,378,A
+07DA001,1,2009/10/02,390,A
+07DA001,1,2009/10/03,378,A
+07DA001,1,2009/10/04,362,
+07DA001,1,2009/10/05,355,
+07DA001,1,2009/10/06,345,
+07DA001,1,2009/10/07,339,A
+07DA001,1,2009/10/08,332,E
+07DA001,1,2009/10/09,325,E
+07DA001,1,2009/10/10,320,E
+07DA001,1,2009/10/11,314,E
+07DA001,1,2009/10/12,300,E
+07DA001,1,2009/10/13,290,A
+07DA001,1,2009/10/14,275,E
+07DA001,1,2009/10/15,278,A
+07DA001,1,2009/10/16,293,A
+07DA001,1,2009/10/17,292,
+07DA001,1,2009/10/18,287,A
+07DA001,1,2009/10/19,275,A
+07DA001,1,2009/10/20,263,A
+07DA001,1,2009/10/21,259,
+07DA001,1,2009/10/22,259,
+07DA001,1,2009/10/23,271,
+07DA001,1,2009/10/24,286,
+07DA001,1,2009/10/25,294,
+07DA001,1,2009/10/26,297,
+07DA001,1,2009/10/27,305,
+07DA001,1,2009/10/28,312,
+07DA001,1,2009/10/29,311,
+07DA001,1,2009/10/30,310,
+07DA001,1,2009/10/31,307,
+07DA001,1,2009/11/01,302,B
+07DA001,1,2009/11/02,286,B
+07DA001,1,2009/11/03,255,B
+07DA001,1,2009/11/04,244,B
+07DA001,1,2009/11/05,239,B
+07DA001,1,2009/11/06,235,B
+07DA001,1,2009/11/07,228,B
+07DA001,1,2009/11/08,220,B
+07DA001,1,2009/11/09,215,B
+07DA001,1,2009/11/10,205,B
+07DA001,1,2009/11/11,198,B
+07DA001,1,2009/11/12,194,B
+07DA001,1,2009/11/13,188,B
+07DA001,1,2009/11/14,181,B
+07DA001,1,2009/11/15,177,B
+07DA001,1,2009/11/16,172,B
+07DA001,1,2009/11/17,168,B
+07DA001,1,2009/11/18,164,B
+07DA001,1,2009/11/19,163,B
+07DA001,1,2009/11/20,162,B
+07DA001,1,2009/11/21,161,B
+07DA001,1,2009/11/22,160,B
+07DA001,1,2009/11/23,159,B
+07DA001,1,2009/11/24,158,B
+07DA001,1,2009/11/25,158,B
+07DA001,1,2009/11/26,157,B
+07DA001,1,2009/11/27,156,B
+07DA001,1,2009/11/28,155,B
+07DA001,1,2009/11/29,154,B
+07DA001,1,2009/11/30,152,B
+07DA001,1,2009/12/01,148,B
+07DA001,1,2009/12/02,144,B
+07DA001,1,2009/12/03,138,B
+07DA001,1,2009/12/04,133,B
+07DA001,1,2009/12/05,127,B
+07DA001,1,2009/12/06,122,B
+07DA001,1,2009/12/07,120,B
+07DA001,1,2009/12/08,118,B
+07DA001,1,2009/12/09,117,B
+07DA001,1,2009/12/10,115,B
+07DA001,1,2009/12/11,113,B
+07DA001,1,2009/12/12,112,B
+07DA001,1,2009/12/13,111,B
+07DA001,1,2009/12/14,112,B
+07DA001,1,2009/12/15,113,B
+07DA001,1,2009/12/16,114,B
+07DA001,1,2009/12/17,115,B
+07DA001,1,2009/12/18,117,B
+07DA001,1,2009/12/19,119,B
+07DA001,1,2009/12/20,120,B
+07DA001,1,2009/12/21,122,B
+07DA001,1,2009/12/22,126,B
+07DA001,1,2009/12/23,131,B
+07DA001,1,2009/12/24,137,B
+07DA001,1,2009/12/25,140,B
+07DA001,1,2009/12/26,141,B
+07DA001,1,2009/12/27,141,B
+07DA001,1,2009/12/28,139,B
+07DA001,1,2009/12/29,136,B
+07DA001,1,2009/12/30,132,B
+07DA001,1,2009/12/31,130,B
+07DA001,1,2010/01/01,130,B
+07DA001,1,2010/01/02,129,B
+07DA001,1,2010/01/03,128,B
+07DA001,1,2010/01/04,128,B
+07DA001,1,2010/01/05,130,B
+07DA001,1,2010/01/06,132,B
+07DA001,1,2010/01/07,136,B
+07DA001,1,2010/01/08,135,B
+07DA001,1,2010/01/09,137,B
+07DA001,1,2010/01/10,140,B
+07DA001,1,2010/01/11,143,B
+07DA001,1,2010/01/12,145,B
+07DA001,1,2010/01/13,145,B
+07DA001,1,2010/01/14,143,B
+07DA001,1,2010/01/15,142,B
+07DA001,1,2010/01/16,145,B
+07DA001,1,2010/01/17,146,B
+07DA001,1,2010/01/18,147,B
+07DA001,1,2010/01/19,145,B
+07DA001,1,2010/01/20,144,B
+07DA001,1,2010/01/21,143,B
+07DA001,1,2010/01/22,141,B
+07DA001,1,2010/01/23,141,B
+07DA001,1,2010/01/24,139,B
+07DA001,1,2010/01/25,137,B
+07DA001,1,2010/01/26,137,B
+07DA001,1,2010/01/27,137,B
+07DA001,1,2010/01/28,136,B
+07DA001,1,2010/01/29,135,B
+07DA001,1,2010/01/30,134,B
+07DA001,1,2010/01/31,133,B
+07DA001,1,2010/02/01,133,B
+07DA001,1,2010/02/02,132,B
+07DA001,1,2010/02/03,132,B
+07DA001,1,2010/02/04,133,B
+07DA001,1,2010/02/05,131,B
+07DA001,1,2010/02/06,131,B
+07DA001,1,2010/02/07,130,B
+07DA001,1,2010/02/08,129,B
+07DA001,1,2010/02/09,130,B
+07DA001,1,2010/02/10,131,B
+07DA001,1,2010/02/11,131,B
+07DA001,1,2010/02/12,132,B
+07DA001,1,2010/02/13,132,B
+07DA001,1,2010/02/14,131,B
+07DA001,1,2010/02/15,131,B
+07DA001,1,2010/02/16,133,B
+07DA001,1,2010/02/17,136,B
+07DA001,1,2010/02/18,138,B
+07DA001,1,2010/02/19,136,B
+07DA001,1,2010/02/20,136,B
+07DA001,1,2010/02/21,135,B
+07DA001,1,2010/02/22,134,B
+07DA001,1,2010/02/23,134,B
+07DA001,1,2010/02/24,135,B
+07DA001,1,2010/02/25,136,B
+07DA001,1,2010/02/26,138,B
+07DA001,1,2010/02/27,138,B
+07DA001,1,2010/02/28,138,B
+07DA001,1,2010/03/01,137,B
+07DA001,1,2010/03/02,137,B
+07DA001,1,2010/03/03,136,B
+07DA001,1,2010/03/04,136,B
+07DA001,1,2010/03/05,138,B
+07DA001,1,2010/03/06,140,B
+07DA001,1,2010/03/07,141,B
+07DA001,1,2010/03/08,142,B
+07DA001,1,2010/03/09,142,B
+07DA001,1,2010/03/10,143,B
+07DA001,1,2010/03/11,143,B
+07DA001,1,2010/03/12,145,B
+07DA001,1,2010/03/13,145,B
+07DA001,1,2010/03/14,143,B
+07DA001,1,2010/03/15,143,B
+07DA001,1,2010/03/16,143,B
+07DA001,1,2010/03/17,141,B
+07DA001,1,2010/03/18,140,B
+07DA001,1,2010/03/19,139,B
+07DA001,1,2010/03/20,138,B
+07DA001,1,2010/03/21,138,B
+07DA001,1,2010/03/22,136,B
+07DA001,1,2010/03/23,135,B
+07DA001,1,2010/03/24,137,B
+07DA001,1,2010/03/25,138,B
+07DA001,1,2010/03/26,140,B
+07DA001,1,2010/03/27,142,B
+07DA001,1,2010/03/28,142,B
+07DA001,1,2010/03/29,143,B
+07DA001,1,2010/03/30,144,B
+07DA001,1,2010/03/31,145,B
+07DA001,1,2010/04/01,146,B
+07DA001,1,2010/04/02,146,B
+07DA001,1,2010/04/03,146,B
+07DA001,1,2010/04/04,150,B
+07DA001,1,2010/04/05,155,B
+07DA001,1,2010/04/06,158,B
+07DA001,1,2010/04/07,161,B
+07DA001,1,2010/04/08,165,B
+07DA001,1,2010/04/09,175,B
+07DA001,1,2010/04/10,182,B
+07DA001,1,2010/04/11,190,B
+07DA001,1,2010/04/12,197,B
+07DA001,1,2010/04/13,209,B
+07DA001,1,2010/04/14,226,B
+07DA001,1,2010/04/15,245,B
+07DA001,1,2010/04/16,275,B
+07DA001,1,2010/04/17,318,B
+07DA001,1,2010/04/18,360,B
+07DA001,1,2010/04/19,410,B
+07DA001,1,2010/04/20,480,B
+07DA001,1,2010/04/21,525,B
+07DA001,1,2010/04/22,541,
+07DA001,1,2010/04/23,532,
+07DA001,1,2010/04/24,528,
+07DA001,1,2010/04/25,539,
+07DA001,1,2010/04/26,556,
+07DA001,1,2010/04/27,577,
+07DA001,1,2010/04/28,591,
+07DA001,1,2010/04/29,592,
+07DA001,1,2010/04/30,594,
+07DA001,1,2010/05/01,606,
+07DA001,1,2010/05/02,595,
+07DA001,1,2010/05/03,588,
+07DA001,1,2010/05/04,579,A
+07DA001,1,2010/05/05,558,
+07DA001,1,2010/05/06,552,
+07DA001,1,2010/05/07,551,
+07DA001,1,2010/05/08,551,
+07DA001,1,2010/05/09,539,
+07DA001,1,2010/05/10,520,
+07DA001,1,2010/05/11,505,
+07DA001,1,2010/05/12,490,
+07DA001,1,2010/05/13,476,
+07DA001,1,2010/05/14,459,
+07DA001,1,2010/05/15,447,
+07DA001,1,2010/05/16,431,
+07DA001,1,2010/05/17,420,
+07DA001,1,2010/05/18,408,
+07DA001,1,2010/05/19,398,
+07DA001,1,2010/05/20,413,
+07DA001,1,2010/05/21,427,A
+07DA001,1,2010/05/22,456,
+07DA001,1,2010/05/23,493,
+07DA001,1,2010/05/24,527,
+07DA001,1,2010/05/25,638,
+07DA001,1,2010/05/26,1040,
+07DA001,1,2010/05/27,1130,
+07DA001,1,2010/05/28,1050,
+07DA001,1,2010/05/29,972,
+07DA001,1,2010/05/30,949,
+07DA001,1,2010/05/31,914,
+07DA001,1,2010/06/01,873,
+07DA001,1,2010/06/02,838,
+07DA001,1,2010/06/03,835,
+07DA001,1,2010/06/04,871,
+07DA001,1,2010/06/05,940,
+07DA001,1,2010/06/06,979,
+07DA001,1,2010/06/07,994,
+07DA001,1,2010/06/08,973,
+07DA001,1,2010/06/09,953,
+07DA001,1,2010/06/10,933,
+07DA001,1,2010/06/11,894,
+07DA001,1,2010/06/12,852,
+07DA001,1,2010/06/13,830,
+07DA001,1,2010/06/14,843,
+07DA001,1,2010/06/15,867,
+07DA001,1,2010/06/16,963,
+07DA001,1,2010/06/17,976,
+07DA001,1,2010/06/18,965,
+07DA001,1,2010/06/19,1030,
+07DA001,1,2010/06/20,1080,
+07DA001,1,2010/06/21,1000,
+07DA001,1,2010/06/22,906,
+07DA001,1,2010/06/23,828,
+07DA001,1,2010/06/24,792,
+07DA001,1,2010/06/25,801,
+07DA001,1,2010/06/26,855,A
+07DA001,1,2010/06/27,918,A
+07DA001,1,2010/06/28,953,
+07DA001,1,2010/06/29,984,
+07DA001,1,2010/06/30,1000,
+07DA001,1,2010/07/01,997,
+07DA001,1,2010/07/02,973,
+07DA001,1,2010/07/03,947,
+07DA001,1,2010/07/04,943,
+07DA001,1,2010/07/05,940,
+07DA001,1,2010/07/06,927,
+07DA001,1,2010/07/07,870,
+07DA001,1,2010/07/08,794,
+07DA001,1,2010/07/09,729,
+07DA001,1,2010/07/10,683,A
+07DA001,1,2010/07/11,660,
+07DA001,1,2010/07/12,666,
+07DA001,1,2010/07/13,658,
+07DA001,1,2010/07/14,673,
+07DA001,1,2010/07/15,724,A
+07DA001,1,2010/07/16,814,
+07DA001,1,2010/07/17,885,
+07DA001,1,2010/07/18,996,
+07DA001,1,2010/07/19,1090,
+07DA001,1,2010/07/20,1100,
+07DA001,1,2010/07/21,1070,
+07DA001,1,2010/07/22,1030,
+07DA001,1,2010/07/23,1010,
+07DA001,1,2010/07/24,958,
+07DA001,1,2010/07/25,907,
+07DA001,1,2010/07/26,863,
+07DA001,1,2010/07/27,827,
+07DA001,1,2010/07/28,818,
+07DA001,1,2010/07/29,816,
+07DA001,1,2010/07/30,786,
+07DA001,1,2010/07/31,758,
+07DA001,1,2010/08/01,731,
+07DA001,1,2010/08/02,704,
+07DA001,1,2010/08/03,687,
+07DA001,1,2010/08/04,686,
+07DA001,1,2010/08/05,691,
+07DA001,1,2010/08/06,683,
+07DA001,1,2010/08/07,669,
+07DA001,1,2010/08/08,635,
+07DA001,1,2010/08/09,617,
+07DA001,1,2010/08/10,597,
+07DA001,1,2010/08/11,575,A
+07DA001,1,2010/08/12,564,A
+07DA001,1,2010/08/13,566,A
+07DA001,1,2010/08/14,570,
+07DA001,1,2010/08/15,581,A
+07DA001,1,2010/08/16,571,
+07DA001,1,2010/08/17,566,
+07DA001,1,2010/08/18,552,
+07DA001,1,2010/08/19,565,
+07DA001,1,2010/08/20,621,
+07DA001,1,2010/08/21,625,
+07DA001,1,2010/08/22,592,
+07DA001,1,2010/08/23,564,
+07DA001,1,2010/08/24,570,
+07DA001,1,2010/08/25,573,A
+07DA001,1,2010/08/26,573,
+07DA001,1,2010/08/27,595,
+07DA001,1,2010/08/28,582,
+07DA001,1,2010/08/29,591,
+07DA001,1,2010/08/30,601,
+07DA001,1,2010/08/31,607,
+07DA001,1,2010/09/01,608,
+07DA001,1,2010/09/02,644,
+07DA001,1,2010/09/03,703,
+07DA001,1,2010/09/04,692,
+07DA001,1,2010/09/05,661,
+07DA001,1,2010/09/06,651,
+07DA001,1,2010/09/07,663,
+07DA001,1,2010/09/08,672,
+07DA001,1,2010/09/09,668,
+07DA001,1,2010/09/10,659,
+07DA001,1,2010/09/11,651,
+07DA001,1,2010/09/12,656,
+07DA001,1,2010/09/13,654,
+07DA001,1,2010/09/14,640,
+07DA001,1,2010/09/15,632,
+07DA001,1,2010/09/16,632,
+07DA001,1,2010/09/17,622,
+07DA001,1,2010/09/18,620,
+07DA001,1,2010/09/19,636,
+07DA001,1,2010/09/20,658,
+07DA001,1,2010/09/21,656,
+07DA001,1,2010/09/22,650,
+07DA001,1,2010/09/23,668,
+07DA001,1,2010/09/24,681,
+07DA001,1,2010/09/25,668,
+07DA001,1,2010/09/26,664,
+07DA001,1,2010/09/27,656,
+07DA001,1,2010/09/28,649,
+07DA001,1,2010/09/29,633,
+07DA001,1,2010/09/30,620,
+07DA001,1,2010/10/01,606,
+07DA001,1,2010/10/02,582,
+07DA001,1,2010/10/03,681,
+07DA001,1,2010/10/04,939,
+07DA001,1,2010/10/05,1060,
+07DA001,1,2010/10/06,944,
+07DA001,1,2010/10/07,845,
+07DA001,1,2010/10/08,772,
+07DA001,1,2010/10/09,716,
+07DA001,1,2010/10/10,677,
+07DA001,1,2010/10/11,649,
+07DA001,1,2010/10/12,621,
+07DA001,1,2010/10/13,587,
+07DA001,1,2010/10/14,556,
+07DA001,1,2010/10/15,540,
+07DA001,1,2010/10/16,521,
+07DA001,1,2010/10/17,502,
+07DA001,1,2010/10/18,503,
+07DA001,1,2010/10/19,497,
+07DA001,1,2010/10/20,472,
+07DA001,1,2010/10/21,450,
+07DA001,1,2010/10/22,439,
+07DA001,1,2010/10/23,430,
+07DA001,1,2010/10/24,421,
+07DA001,1,2010/10/25,410,
+07DA001,1,2010/10/26,398,
+07DA001,1,2010/10/27,390,
+07DA001,1,2010/10/28,380,
+07DA001,1,2010/10/29,376,
+07DA001,1,2010/10/30,372,B
+07DA001,1,2010/10/31,365,B
+07DA001,1,2010/11/01,356,B
+07DA001,1,2010/11/02,354,B
+07DA001,1,2010/11/03,345,B
+07DA001,1,2010/11/04,340,B
+07DA001,1,2010/11/05,330,B
+07DA001,1,2010/11/06,320,B
+07DA001,1,2010/11/07,301,B
+07DA001,1,2010/11/08,311,B
+07DA001,1,2010/11/09,307,B
+07DA001,1,2010/11/10,282,B
+07DA001,1,2010/11/11,268,B
+07DA001,1,2010/11/12,229,B
+07DA001,1,2010/11/13,229,B
+07DA001,1,2010/11/14,226,B
+07DA001,1,2010/11/15,221,B
+07DA001,1,2010/11/16,215,B
+07DA001,1,2010/11/17,208,B
+07DA001,1,2010/11/18,185,B
+07DA001,1,2010/11/19,160,B
+07DA001,1,2010/11/20,140,B
+07DA001,1,2010/11/21,134,B
+07DA001,1,2010/11/22,129,B
+07DA001,1,2010/11/23,123,B
+07DA001,1,2010/11/24,121,B
+07DA001,1,2010/11/25,122,B
+07DA001,1,2010/11/26,124,B
+07DA001,1,2010/11/27,126,B
+07DA001,1,2010/11/28,127,B
+07DA001,1,2010/11/29,129,B
+07DA001,1,2010/11/30,133,B
+07DA001,1,2010/12/01,135,B
+07DA001,1,2010/12/02,139,B
+07DA001,1,2010/12/03,145,B
+07DA001,1,2010/12/04,151,B
+07DA001,1,2010/12/05,155,B
+07DA001,1,2010/12/06,159,B
+07DA001,1,2010/12/07,160,B
+07DA001,1,2010/12/08,158,B
+07DA001,1,2010/12/09,157,B
+07DA001,1,2010/12/10,155,B
+07DA001,1,2010/12/11,154,B
+07DA001,1,2010/12/12,154,B
+07DA001,1,2010/12/13,153,B
+07DA001,1,2010/12/14,151,B
+07DA001,1,2010/12/15,149,B
+07DA001,1,2010/12/16,146,B
+07DA001,1,2010/12/17,146,B
+07DA001,1,2010/12/18,144,B
+07DA001,1,2010/12/19,139,B
+07DA001,1,2010/12/20,136,B
+07DA001,1,2010/12/21,138,B
+07DA001,1,2010/12/22,137,B
+07DA001,1,2010/12/23,137,B
+07DA001,1,2010/12/24,138,B
+07DA001,1,2010/12/25,139,B
+07DA001,1,2010/12/26,138,B
+07DA001,1,2010/12/27,137,B
+07DA001,1,2010/12/28,136,B
+07DA001,1,2010/12/29,136,B
+07DA001,1,2010/12/30,135,B
+07DA001,1,2010/12/31,135,B
+07DA001,1,2011/01/01,136,B
+07DA001,1,2011/01/02,137,B
+07DA001,1,2011/01/03,138,B
+07DA001,1,2011/01/04,139,B
+07DA001,1,2011/01/05,140,B
+07DA001,1,2011/01/06,142,B
+07DA001,1,2011/01/07,142,B
+07DA001,1,2011/01/08,142,B
+07DA001,1,2011/01/09,142,B
+07DA001,1,2011/01/10,141,B
+07DA001,1,2011/01/11,140,B
+07DA001,1,2011/01/12,139,B
+07DA001,1,2011/01/13,132,B
+07DA001,1,2011/01/14,130,B
+07DA001,1,2011/01/15,126,B
+07DA001,1,2011/01/16,125,B
+07DA001,1,2011/01/17,125,B
+07DA001,1,2011/01/18,124,B
+07DA001,1,2011/01/19,125,B
+07DA001,1,2011/01/20,125,B
+07DA001,1,2011/01/21,125,B
+07DA001,1,2011/01/22,125,B
+07DA001,1,2011/01/23,126,B
+07DA001,1,2011/01/24,126,B
+07DA001,1,2011/01/25,126,B
+07DA001,1,2011/01/26,126,B
+07DA001,1,2011/01/27,126,B
+07DA001,1,2011/01/28,124,B
+07DA001,1,2011/01/29,122,B
+07DA001,1,2011/01/30,122,B
+07DA001,1,2011/01/31,122,B
+07DA001,1,2011/02/01,123,B
+07DA001,1,2011/02/02,125,B
+07DA001,1,2011/02/03,126,B
+07DA001,1,2011/02/04,126,B
+07DA001,1,2011/02/05,125,B
+07DA001,1,2011/02/06,125,B
+07DA001,1,2011/02/07,124,B
+07DA001,1,2011/02/08,124,B
+07DA001,1,2011/02/09,124,B
+07DA001,1,2011/02/10,124,B
+07DA001,1,2011/02/11,124,B
+07DA001,1,2011/02/12,124,B
+07DA001,1,2011/02/13,125,B
+07DA001,1,2011/02/14,125,B
+07DA001,1,2011/02/15,124,B
+07DA001,1,2011/02/16,123,B
+07DA001,1,2011/02/17,123,B
+07DA001,1,2011/02/18,122,B
+07DA001,1,2011/02/19,121,B
+07DA001,1,2011/02/20,120,B
+07DA001,1,2011/02/21,120,B
+07DA001,1,2011/02/22,120,B
+07DA001,1,2011/02/23,119,B
+07DA001,1,2011/02/24,119,B
+07DA001,1,2011/02/25,119,B
+07DA001,1,2011/02/26,119,B
+07DA001,1,2011/02/27,119,B
+07DA001,1,2011/02/28,119,B
+07DA001,1,2011/03/01,119,B
+07DA001,1,2011/03/02,119,B
+07DA001,1,2011/03/03,119,B
+07DA001,1,2011/03/04,119,B
+07DA001,1,2011/03/05,120,B
+07DA001,1,2011/03/06,120,B
+07DA001,1,2011/03/07,120,B
+07DA001,1,2011/03/08,120,B
+07DA001,1,2011/03/09,120,B
+07DA001,1,2011/03/10,120,B
+07DA001,1,2011/03/11,120,B
+07DA001,1,2011/03/12,121,B
+07DA001,1,2011/03/13,121,B
+07DA001,1,2011/03/14,121,B
+07DA001,1,2011/03/15,121,B
+07DA001,1,2011/03/16,122,B
+07DA001,1,2011/03/17,123,B
+07DA001,1,2011/03/18,125,B
+07DA001,1,2011/03/19,127,B
+07DA001,1,2011/03/20,129,B
+07DA001,1,2011/03/21,131,B
+07DA001,1,2011/03/22,134,B
+07DA001,1,2011/03/23,136,B
+07DA001,1,2011/03/24,138,B
+07DA001,1,2011/03/25,140,B
+07DA001,1,2011/03/26,142,B
+07DA001,1,2011/03/27,143,B
+07DA001,1,2011/03/28,145,B
+07DA001,1,2011/03/29,146,B
+07DA001,1,2011/03/30,147,B
+07DA001,1,2011/03/31,148,B
+07DA001,1,2011/04/01,148,B
+07DA001,1,2011/04/02,148,B
+07DA001,1,2011/04/03,149,B
+07DA001,1,2011/04/04,149,B
+07DA001,1,2011/04/05,149,B
+07DA001,1,2011/04/06,149,B
+07DA001,1,2011/04/07,150,B
+07DA001,1,2011/04/08,150,B
+07DA001,1,2011/04/09,151,B
+07DA001,1,2011/04/10,154,B
+07DA001,1,2011/04/11,159,B
+07DA001,1,2011/04/12,168,B
+07DA001,1,2011/04/13,179,B
+07DA001,1,2011/04/14,190,B
+07DA001,1,2011/04/15,199,B
+07DA001,1,2011/04/16,211,B
+07DA001,1,2011/04/17,231,B
+07DA001,1,2011/04/18,257,B
+07DA001,1,2011/04/19,280,B
+07DA001,1,2011/04/20,301,B
+07DA001,1,2011/04/21,312,B
+07DA001,1,2011/04/22,326,B
+07DA001,1,2011/04/23,339,B
+07DA001,1,2011/04/24,413,B
+07DA001,1,2011/04/25,470,B
+07DA001,1,2011/04/26,512,B
+07DA001,1,2011/04/27,510,B
+07DA001,1,2011/04/28,558,B
+07DA001,1,2011/04/29,676,B
+07DA001,1,2011/04/30,777,B
+07DA001,1,2011/05/01,835,
+07DA001,1,2011/05/02,971,
+07DA001,1,2011/05/03,1080,
+07DA001,1,2011/05/04,1130,
+07DA001,1,2011/05/05,1200,
+07DA001,1,2011/05/06,1260,
+07DA001,1,2011/05/07,1380,
+07DA001,1,2011/05/08,1380,
+07DA001,1,2011/05/09,1330,
+07DA001,1,2011/05/10,1280,
+07DA001,1,2011/05/11,1240,
+07DA001,1,2011/05/12,1210,
+07DA001,1,2011/05/13,1190,
+07DA001,1,2011/05/14,1170,
+07DA001,1,2011/05/15,1150,
+07DA001,1,2011/05/16,1120,
+07DA001,1,2011/05/17,1230,
+07DA001,1,2011/05/18,1260,
+07DA001,1,2011/05/19,1110,
+07DA001,1,2011/05/20,1010,
+07DA001,1,2011/05/21,959,
+07DA001,1,2011/05/22,933,
+07DA001,1,2011/05/23,904,
+07DA001,1,2011/05/24,890,
+07DA001,1,2011/05/25,855,
+07DA001,1,2011/05/26,835,
+07DA001,1,2011/05/27,905,
+07DA001,1,2011/05/28,1330,
+07DA001,1,2011/05/29,1380,
+07DA001,1,2011/05/30,1340,
+07DA001,1,2011/05/31,1350,
+07DA001,1,2011/06/01,1330,
+07DA001,1,2011/06/02,1270,
+07DA001,1,2011/06/03,1160,
+07DA001,1,2011/06/04,1060,
+07DA001,1,2011/06/05,1010,
+07DA001,1,2011/06/06,964,
+07DA001,1,2011/06/07,937,
+07DA001,1,2011/06/08,923,
+07DA001,1,2011/06/09,931,
+07DA001,1,2011/06/10,943,
+07DA001,1,2011/06/11,982,
+07DA001,1,2011/06/12,1030,
+07DA001,1,2011/06/13,1150,
+07DA001,1,2011/06/14,1160,
+07DA001,1,2011/06/15,1110,
+07DA001,1,2011/06/16,1170,
+07DA001,1,2011/06/17,1190,
+07DA001,1,2011/06/18,1190,
+07DA001,1,2011/06/19,1260,
+07DA001,1,2011/06/20,1730,
+07DA001,1,2011/06/21,2600,
+07DA001,1,2011/06/22,3240,
+07DA001,1,2011/06/23,3570,
+07DA001,1,2011/06/24,3750,A
+07DA001,1,2011/06/25,3480,
+07DA001,1,2011/06/26,3170,
+07DA001,1,2011/06/27,3070,
+07DA001,1,2011/06/28,3070,
+07DA001,1,2011/06/29,2840,
+07DA001,1,2011/06/30,2550,
+07DA001,1,2011/07/01,2320,
+07DA001,1,2011/07/02,2140,
+07DA001,1,2011/07/03,1960,
+07DA001,1,2011/07/04,1920,
+07DA001,1,2011/07/05,1930,
+07DA001,1,2011/07/06,1770,
+07DA001,1,2011/07/07,1550,
+07DA001,1,2011/07/08,1410,
+07DA001,1,2011/07/09,1400,
+07DA001,1,2011/07/10,1440,
+07DA001,1,2011/07/11,2260,
+07DA001,1,2011/07/12,3930,
+07DA001,1,2011/07/13,4410,
+07DA001,1,2011/07/14,4060,
+07DA001,1,2011/07/15,3510,
+07DA001,1,2011/07/16,3140,
+07DA001,1,2011/07/17,2890,
+07DA001,1,2011/07/18,2750,
+07DA001,1,2011/07/19,2620,
+07DA001,1,2011/07/20,2400,
+07DA001,1,2011/07/21,2180,
+07DA001,1,2011/07/22,1990,
+07DA001,1,2011/07/23,1850,
+07DA001,1,2011/07/24,1800,
+07DA001,1,2011/07/25,1870,
+07DA001,1,2011/07/26,1900,
+07DA001,1,2011/07/27,1810,
+07DA001,1,2011/07/28,1700,
+07DA001,1,2011/07/29,1580,
+07DA001,1,2011/07/30,1460,
+07DA001,1,2011/07/31,1380,
+07DA001,1,2011/08/01,1300,
+07DA001,1,2011/08/02,1230,
+07DA001,1,2011/08/03,1160,
+07DA001,1,2011/08/04,1110,
+07DA001,1,2011/08/05,1060,
+07DA001,1,2011/08/06,1040,
+07DA001,1,2011/08/07,1080,
+07DA001,1,2011/08/08,1030,
+07DA001,1,2011/08/09,980,
+07DA001,1,2011/08/10,953,
+07DA001,1,2011/08/11,965,
+07DA001,1,2011/08/12,1000,
+07DA001,1,2011/08/13,1020,
+07DA001,1,2011/08/14,976,
+07DA001,1,2011/08/15,935,
+07DA001,1,2011/08/16,927,
+07DA001,1,2011/08/17,935,
+07DA001,1,2011/08/18,943,
+07DA001,1,2011/08/19,922,
+07DA001,1,2011/08/20,902,
+07DA001,1,2011/08/21,874,
+07DA001,1,2011/08/22,838,
+07DA001,1,2011/08/23,792,
+07DA001,1,2011/08/24,759,
+07DA001,1,2011/08/25,736,
+07DA001,1,2011/08/26,700,
+07DA001,1,2011/08/27,672,
+07DA001,1,2011/08/28,658,
+07DA001,1,2011/08/29,681,A
+07DA001,1,2011/08/30,735,
+07DA001,1,2011/08/31,717,
+07DA001,1,2011/09/01,686,
+07DA001,1,2011/09/02,654,
+07DA001,1,2011/09/03,626,
+07DA001,1,2011/09/04,609,
+07DA001,1,2011/09/05,601,
+07DA001,1,2011/09/06,602,
+07DA001,1,2011/09/07,588,
+07DA001,1,2011/09/08,563,
+07DA001,1,2011/09/09,541,
+07DA001,1,2011/09/10,522,
+07DA001,1,2011/09/11,499,
+07DA001,1,2011/09/12,485,
+07DA001,1,2011/09/13,476,
+07DA001,1,2011/09/14,469,
+07DA001,1,2011/09/15,465,
+07DA001,1,2011/09/16,464,
+07DA001,1,2011/09/17,474,
+07DA001,1,2011/09/18,478,
+07DA001,1,2011/09/19,477,
+07DA001,1,2011/09/20,478,
+07DA001,1,2011/09/21,471,
+07DA001,1,2011/09/22,465,
+07DA001,1,2011/09/23,462,
+07DA001,1,2011/09/24,461,
+07DA001,1,2011/09/25,443,
+07DA001,1,2011/09/26,428,
+07DA001,1,2011/09/27,420,
+07DA001,1,2011/09/28,412,
+07DA001,1,2011/09/29,393,
+07DA001,1,2011/09/30,397,
+07DA001,1,2011/10/01,463,
+07DA001,1,2011/10/02,493,
+07DA001,1,2011/10/03,501,
+07DA001,1,2011/10/04,492,
+07DA001,1,2011/10/05,476,
+07DA001,1,2011/10/06,453,
+07DA001,1,2011/10/07,428,
+07DA001,1,2011/10/08,424,
+07DA001,1,2011/10/09,465,
+07DA001,1,2011/10/10,476,
+07DA001,1,2011/10/11,473,
+07DA001,1,2011/10/12,483,
+07DA001,1,2011/10/13,465,
+07DA001,1,2011/10/14,444,
+07DA001,1,2011/10/15,428,
+07DA001,1,2011/10/16,413,
+07DA001,1,2011/10/17,401,
+07DA001,1,2011/10/18,390,
+07DA001,1,2011/10/19,381,
+07DA001,1,2011/10/20,377,
+07DA001,1,2011/10/21,368,
+07DA001,1,2011/10/22,362,
+07DA001,1,2011/10/23,354,
+07DA001,1,2011/10/24,348,A
+07DA001,1,2011/10/25,342,
+07DA001,1,2011/10/26,335,
+07DA001,1,2011/10/27,333,
+07DA001,1,2011/10/28,329,
+07DA001,1,2011/10/29,330,
+07DA001,1,2011/10/30,326,
+07DA001,1,2011/10/31,323,
+07DA001,1,2011/11/01,321,
+07DA001,1,2011/11/02,309,
+07DA001,1,2011/11/03,304,
+07DA001,1,2011/11/04,268,B
+07DA001,1,2011/11/05,249,B
+07DA001,1,2011/11/06,227,B
+07DA001,1,2011/11/07,209,B
+07DA001,1,2011/11/08,203,B
+07DA001,1,2011/11/09,207,B
+07DA001,1,2011/11/10,206,B
+07DA001,1,2011/11/11,203,B
+07DA001,1,2011/11/12,204,B
+07DA001,1,2011/11/13,199,B
+07DA001,1,2011/11/14,188,B
+07DA001,1,2011/11/15,175,B
+07DA001,1,2011/11/16,162,B
+07DA001,1,2011/11/17,153,B
+07DA001,1,2011/11/18,145,B
+07DA001,1,2011/11/19,140,B
+07DA001,1,2011/11/20,138,B
+07DA001,1,2011/11/21,139,B
+07DA001,1,2011/11/22,143,B
+07DA001,1,2011/11/23,147,B
+07DA001,1,2011/11/24,153,B
+07DA001,1,2011/11/25,159,B
+07DA001,1,2011/11/26,163,B
+07DA001,1,2011/11/27,166,B
+07DA001,1,2011/11/28,168,B
+07DA001,1,2011/11/29,168,B
+07DA001,1,2011/11/30,168,B
+07DA001,1,2011/12/01,167,B
+07DA001,1,2011/12/02,166,B
+07DA001,1,2011/12/03,166,B
+07DA001,1,2011/12/04,167,B
+07DA001,1,2011/12/05,168,B
+07DA001,1,2011/12/06,165,B
+07DA001,1,2011/12/07,162,B
+07DA001,1,2011/12/08,160,B
+07DA001,1,2011/12/09,162,B
+07DA001,1,2011/12/10,164,B
+07DA001,1,2011/12/11,165,B
+07DA001,1,2011/12/12,166,B
+07DA001,1,2011/12/13,165,B
+07DA001,1,2011/12/14,164,B
+07DA001,1,2011/12/15,162,B
+07DA001,1,2011/12/16,162,B
+07DA001,1,2011/12/17,162,B
+07DA001,1,2011/12/18,163,B
+07DA001,1,2011/12/19,163,B
+07DA001,1,2011/12/20,164,B
+07DA001,1,2011/12/21,164,B
+07DA001,1,2011/12/22,164,B
+07DA001,1,2011/12/23,164,B
+07DA001,1,2011/12/24,164,B
+07DA001,1,2011/12/25,164,B
+07DA001,1,2011/12/26,164,B
+07DA001,1,2011/12/27,164,B
+07DA001,1,2011/12/28,163,B
+07DA001,1,2011/12/29,162,B
+07DA001,1,2011/12/30,161,B
+07DA001,1,2011/12/31,160,B
+07DA001,1,2012/01/01,157,B
+07DA001,1,2012/01/02,154,B
+07DA001,1,2012/01/03,151,B
+07DA001,1,2012/01/04,148,B
+07DA001,1,2012/01/05,146,B
+07DA001,1,2012/01/06,145,B
+07DA001,1,2012/01/07,145,B
+07DA001,1,2012/01/08,147,B
+07DA001,1,2012/01/09,148,B
+07DA001,1,2012/01/10,148,B
+07DA001,1,2012/01/11,147,B
+07DA001,1,2012/01/12,145,B
+07DA001,1,2012/01/13,141,B
+07DA001,1,2012/01/14,137,B
+07DA001,1,2012/01/15,135,B
+07DA001,1,2012/01/16,133,B
+07DA001,1,2012/01/17,133,B
+07DA001,1,2012/01/18,132,B
+07DA001,1,2012/01/19,131,B
+07DA001,1,2012/01/20,129,B
+07DA001,1,2012/01/21,125,B
+07DA001,1,2012/01/22,121,B
+07DA001,1,2012/01/23,119,B
+07DA001,1,2012/01/24,120,B
+07DA001,1,2012/01/25,123,B
+07DA001,1,2012/01/26,125,B
+07DA001,1,2012/01/27,125,B
+07DA001,1,2012/01/28,122,B
+07DA001,1,2012/01/29,119,B
+07DA001,1,2012/01/30,116,B
+07DA001,1,2012/01/31,115,B
+07DA001,1,2012/02/01,116,B
+07DA001,1,2012/02/02,118,B
+07DA001,1,2012/02/03,120,B
+07DA001,1,2012/02/04,120,B
+07DA001,1,2012/02/05,118,B
+07DA001,1,2012/02/06,115,B
+07DA001,1,2012/02/07,112,B
+07DA001,1,2012/02/08,109,B
+07DA001,1,2012/02/09,108,B
+07DA001,1,2012/02/10,108,B
+07DA001,1,2012/02/11,108,B
+07DA001,1,2012/02/12,109,B
+07DA001,1,2012/02/13,111,B
+07DA001,1,2012/02/14,112,B
+07DA001,1,2012/02/15,112,B
+07DA001,1,2012/02/16,113,B
+07DA001,1,2012/02/17,113,B
+07DA001,1,2012/02/18,113,B
+07DA001,1,2012/02/19,113,B
+07DA001,1,2012/02/20,112,B
+07DA001,1,2012/02/21,111,B
+07DA001,1,2012/02/22,109,B
+07DA001,1,2012/02/23,108,B
+07DA001,1,2012/02/24,106,B
+07DA001,1,2012/02/25,105,B
+07DA001,1,2012/02/26,105,B
+07DA001,1,2012/02/27,105,B
+07DA001,1,2012/02/28,105,B
+07DA001,1,2012/02/29,106,B
+07DA001,1,2012/03/01,106,B
+07DA001,1,2012/03/02,107,B
+07DA001,1,2012/03/03,107,B
+07DA001,1,2012/03/04,106,B
+07DA001,1,2012/03/05,106,B
+07DA001,1,2012/03/06,105,B
+07DA001,1,2012/03/07,106,B
+07DA001,1,2012/03/08,106,B
+07DA001,1,2012/03/09,106,B
+07DA001,1,2012/03/10,107,B
+07DA001,1,2012/03/11,107,B
+07DA001,1,2012/03/12,107,B
+07DA001,1,2012/03/13,107,B
+07DA001,1,2012/03/14,107,B
+07DA001,1,2012/03/15,107,B
+07DA001,1,2012/03/16,107,B
+07DA001,1,2012/03/17,108,B
+07DA001,1,2012/03/18,108,B
+07DA001,1,2012/03/19,108,B
+07DA001,1,2012/03/20,109,B
+07DA001,1,2012/03/21,109,B
+07DA001,1,2012/03/22,111,B
+07DA001,1,2012/03/23,113,B
+07DA001,1,2012/03/24,117,B
+07DA001,1,2012/03/25,121,B
+07DA001,1,2012/03/26,126,B
+07DA001,1,2012/03/27,131,B
+07DA001,1,2012/03/28,137,B
+07DA001,1,2012/03/29,143,B
+07DA001,1,2012/03/30,149,B
+07DA001,1,2012/03/31,156,B
+07DA001,1,2012/04/01,163,B
+07DA001,1,2012/04/02,172,B
+07DA001,1,2012/04/03,181,B
+07DA001,1,2012/04/04,191,B
+07DA001,1,2012/04/05,203,B
+07DA001,1,2012/04/06,216,B
+07DA001,1,2012/04/07,230,B
+07DA001,1,2012/04/08,246,B
+07DA001,1,2012/04/09,262,B
+07DA001,1,2012/04/10,281,B
+07DA001,1,2012/04/11,300,B
+07DA001,1,2012/04/12,321,B
+07DA001,1,2012/04/13,342,B
+07DA001,1,2012/04/14,365,B
+07DA001,1,2012/04/15,389,B
+07DA001,1,2012/04/16,413,B
+07DA001,1,2012/04/17,439,B
+07DA001,1,2012/04/18,465,B
+07DA001,1,2012/04/19,493,B
+07DA001,1,2012/04/20,520,B
+07DA001,1,2012/04/21,548,B
+07DA001,1,2012/04/22,586,B
+07DA001,1,2012/04/23,632,B
+07DA001,1,2012/04/24,682,B
+07DA001,1,2012/04/25,727,B
+07DA001,1,2012/04/26,767,B
+07DA001,1,2012/04/27,827,B
+07DA001,1,2012/04/28,871,B
+07DA001,1,2012/04/29,916,B
+07DA001,1,2012/04/30,1070,
+07DA001,1,2012/05/01,1110,
+07DA001,1,2012/05/02,1060,
+07DA001,1,2012/05/03,1100,
+07DA001,1,2012/05/04,1120,
+07DA001,1,2012/05/05,1110,
+07DA001,1,2012/05/06,1170,
+07DA001,1,2012/05/07,1170,
+07DA001,1,2012/05/08,1140,
+07DA001,1,2012/05/09,1120,
+07DA001,1,2012/05/10,1080,
+07DA001,1,2012/05/11,1020,
+07DA001,1,2012/05/12,965,
+07DA001,1,2012/05/13,919,
+07DA001,1,2012/05/14,887,
+07DA001,1,2012/05/15,866,A
+07DA001,1,2012/05/16,864,
+07DA001,1,2012/05/17,833,
+07DA001,1,2012/05/18,795,A
+07DA001,1,2012/05/19,776,
+07DA001,1,2012/05/20,762,
+07DA001,1,2012/05/21,772,
+07DA001,1,2012/05/22,806,
+07DA001,1,2012/05/23,867,
+07DA001,1,2012/05/24,876,
+07DA001,1,2012/05/25,845,
+07DA001,1,2012/05/26,811,
+07DA001,1,2012/05/27,819,
+07DA001,1,2012/05/28,921,
+07DA001,1,2012/05/29,989,
+07DA001,1,2012/05/30,940,
+07DA001,1,2012/05/31,877,A
+07DA001,1,2012/06/01,816,A
+07DA001,1,2012/06/02,777,
+07DA001,1,2012/06/03,784,
+07DA001,1,2012/06/04,843,
+07DA001,1,2012/06/05,860,
+07DA001,1,2012/06/06,835,
+07DA001,1,2012/06/07,809,
+07DA001,1,2012/06/08,814,
+07DA001,1,2012/06/09,853,
+07DA001,1,2012/06/10,913,
+07DA001,1,2012/06/11,1860,
+07DA001,1,2012/06/12,2200,
+07DA001,1,2012/06/13,2230,
+07DA001,1,2012/06/14,2500,
+07DA001,1,2012/06/15,2290,
+07DA001,1,2012/06/16,2090,
+07DA001,1,2012/06/17,2040,
+07DA001,1,2012/06/18,1990,
+07DA001,1,2012/06/19,1890,
+07DA001,1,2012/06/20,1740,
+07DA001,1,2012/06/21,1590,
+07DA001,1,2012/06/22,1640,
+07DA001,1,2012/06/23,1670,
+07DA001,1,2012/06/24,1590,
+07DA001,1,2012/06/25,1500,
+07DA001,1,2012/06/26,1420,
+07DA001,1,2012/06/27,1380,A
+07DA001,1,2012/06/28,1490,
+07DA001,1,2012/06/29,1610,
+07DA001,1,2012/06/30,1590,
+07DA001,1,2012/07/01,1460,A
+07DA001,1,2012/07/02,1360,
+07DA001,1,2012/07/03,1280,
+07DA001,1,2012/07/04,1290,
+07DA001,1,2012/07/05,1350,
+07DA001,1,2012/07/06,1440,
+07DA001,1,2012/07/07,1540,
+07DA001,1,2012/07/08,1860,A
+07DA001,1,2012/07/09,2020,
+07DA001,1,2012/07/10,1820,
+07DA001,1,2012/07/11,1610,
+07DA001,1,2012/07/12,1440,
+07DA001,1,2012/07/13,1380,
+07DA001,1,2012/07/14,1380,
+07DA001,1,2012/07/15,1380,
+07DA001,1,2012/07/16,1380,
+07DA001,1,2012/07/17,1360,
+07DA001,1,2012/07/18,1360,
+07DA001,1,2012/07/19,1650,
+07DA001,1,2012/07/20,1810,A
+07DA001,1,2012/07/21,1780,
+07DA001,1,2012/07/22,1720,A
+07DA001,1,2012/07/23,1650,
+07DA001,1,2012/07/24,1590,
+07DA001,1,2012/07/25,1670,A
+07DA001,1,2012/07/26,1640,
+07DA001,1,2012/07/27,2430,A
+07DA001,1,2012/07/28,3390,
+07DA001,1,2012/07/29,3680,
+07DA001,1,2012/07/30,3270,
+07DA001,1,2012/07/31,2670,
+07DA001,1,2012/08/01,2330,
+07DA001,1,2012/08/02,2140,
+07DA001,1,2012/08/03,2000,
+07DA001,1,2012/08/04,1880,
+07DA001,1,2012/08/05,1740,
+07DA001,1,2012/08/06,1590,
+07DA001,1,2012/08/07,1500,
+07DA001,1,2012/08/08,1410,
+07DA001,1,2012/08/09,1350,A
+07DA001,1,2012/08/10,1280,
+07DA001,1,2012/08/11,1230,
+07DA001,1,2012/08/12,1200,A
+07DA001,1,2012/08/13,1200,A
+07DA001,1,2012/08/14,1160,
+07DA001,1,2012/08/15,1090,
+07DA001,1,2012/08/16,1030,
+07DA001,1,2012/08/17,966,
+07DA001,1,2012/08/18,913,
+07DA001,1,2012/08/19,883,
+07DA001,1,2012/08/20,881,
+07DA001,1,2012/08/21,886,
+07DA001,1,2012/08/22,842,
+07DA001,1,2012/08/23,803,
+07DA001,1,2012/08/24,781,
+07DA001,1,2012/08/25,767,
+07DA001,1,2012/08/26,770,
+07DA001,1,2012/08/27,780,
+07DA001,1,2012/08/28,782,
+07DA001,1,2012/08/29,763,
+07DA001,1,2012/08/30,733,
+07DA001,1,2012/08/31,702,
+07DA001,1,2012/09/01,669,
+07DA001,1,2012/09/02,665,
+07DA001,1,2012/09/03,675,
+07DA001,1,2012/09/04,704,
+07DA001,1,2012/09/05,750,
+07DA001,1,2012/09/06,775,
+07DA001,1,2012/09/07,775,
+07DA001,1,2012/09/08,761,
+07DA001,1,2012/09/09,737,
+07DA001,1,2012/09/10,709,
+07DA001,1,2012/09/11,742,
+07DA001,1,2012/09/12,773,
+07DA001,1,2012/09/13,806,
+07DA001,1,2012/09/14,797,
+07DA001,1,2012/09/15,773,
+07DA001,1,2012/09/16,747,
+07DA001,1,2012/09/17,733,
+07DA001,1,2012/09/18,710,
+07DA001,1,2012/09/19,674,
+07DA001,1,2012/09/20,637,
+07DA001,1,2012/09/21,608,
+07DA001,1,2012/09/22,591,
+07DA001,1,2012/09/23,578,
+07DA001,1,2012/09/24,561,
+07DA001,1,2012/09/25,544,
+07DA001,1,2012/09/26,528,
+07DA001,1,2012/09/27,518,
+07DA001,1,2012/09/28,511,
+07DA001,1,2012/09/29,504,
+07DA001,1,2012/09/30,500,
+07DA001,1,2012/10/01,498,
+07DA001,1,2012/10/02,508,
+07DA001,1,2012/10/03,512,
+07DA001,1,2012/10/04,512,
+07DA001,1,2012/10/05,497,
+07DA001,1,2012/10/06,484,
+07DA001,1,2012/10/07,486,
+07DA001,1,2012/10/08,480,
+07DA001,1,2012/10/09,472,
+07DA001,1,2012/10/10,510,
+07DA001,1,2012/10/11,490,
+07DA001,1,2012/10/12,472,
+07DA001,1,2012/10/13,456,
+07DA001,1,2012/10/14,444,
+07DA001,1,2012/10/15,446,
+07DA001,1,2012/10/16,443,
+07DA001,1,2012/10/17,455,
+07DA001,1,2012/10/18,460,
+07DA001,1,2012/10/19,466,
+07DA001,1,2012/10/20,476,
+07DA001,1,2012/10/21,494,
+07DA001,1,2012/10/22,499,
+07DA001,1,2012/10/23,497,
+07DA001,1,2012/10/24,514,
+07DA001,1,2012/10/25,519,
+07DA001,1,2012/10/26,495,
+07DA001,1,2012/10/27,461,B
+07DA001,1,2012/10/28,424,B
+07DA001,1,2012/10/29,410,B
+07DA001,1,2012/10/30,402,B
+07DA001,1,2012/10/31,390,B
+07DA001,1,2012/11/01,377,B
+07DA001,1,2012/11/02,361,B
+07DA001,1,2012/11/03,344,B
+07DA001,1,2012/11/04,326,B
+07DA001,1,2012/11/05,308,B
+07DA001,1,2012/11/06,290,B
+07DA001,1,2012/11/07,274,B
+07DA001,1,2012/11/08,264,B
+07DA001,1,2012/11/09,255,B
+07DA001,1,2012/11/10,246,B
+07DA001,1,2012/11/11,237,B
+07DA001,1,2012/11/12,230,B
+07DA001,1,2012/11/13,224,B
+07DA001,1,2012/11/14,219,B
+07DA001,1,2012/11/15,217,B
+07DA001,1,2012/11/16,217,B
+07DA001,1,2012/11/17,218,B
+07DA001,1,2012/11/18,218,B
+07DA001,1,2012/11/19,218,B
+07DA001,1,2012/11/20,216,B
+07DA001,1,2012/11/21,211,B
+07DA001,1,2012/11/22,204,B
+07DA001,1,2012/11/23,199,B
+07DA001,1,2012/11/24,199,B
+07DA001,1,2012/11/25,202,B
+07DA001,1,2012/11/26,206,B
+07DA001,1,2012/11/27,209,B
+07DA001,1,2012/11/28,212,B
+07DA001,1,2012/11/29,215,B
+07DA001,1,2012/11/30,217,B
+07DA001,1,2012/12/01,219,B
+07DA001,1,2012/12/02,221,B
+07DA001,1,2012/12/03,222,B
+07DA001,1,2012/12/04,222,B
+07DA001,1,2012/12/05,222,B
+07DA001,1,2012/12/06,222,B
+07DA001,1,2012/12/07,220,B
+07DA001,1,2012/12/08,219,B
+07DA001,1,2012/12/09,217,B
+07DA001,1,2012/12/10,216,B
+07DA001,1,2012/12/11,216,B
+07DA001,1,2012/12/12,215,B
+07DA001,1,2012/12/13,215,B
+07DA001,1,2012/12/14,214,B
+07DA001,1,2012/12/15,214,B
+07DA001,1,2012/12/16,213,B
+07DA001,1,2012/12/17,213,B
+07DA001,1,2012/12/18,213,B
+07DA001,1,2012/12/19,213,B
+07DA001,1,2012/12/20,213,B
+07DA001,1,2012/12/21,212,B
+07DA001,1,2012/12/22,210,B
+07DA001,1,2012/12/23,207,B
+07DA001,1,2012/12/24,205,B
+07DA001,1,2012/12/25,203,B
+07DA001,1,2012/12/26,201,B
+07DA001,1,2012/12/27,199,B
+07DA001,1,2012/12/28,197,B
+07DA001,1,2012/12/29,196,B
+07DA001,1,2012/12/30,194,B
+07DA001,1,2012/12/31,193,B
+07DA001,1,2013/01/01,192,B
+07DA001,1,2013/01/02,190,B
+07DA001,1,2013/01/03,189,B
+07DA001,1,2013/01/04,187,B
+07DA001,1,2013/01/05,186,B
+07DA001,1,2013/01/06,184,B
+07DA001,1,2013/01/07,183,B
+07DA001,1,2013/01/08,181,B
+07DA001,1,2013/01/09,180,B
+07DA001,1,2013/01/10,181,B
+07DA001,1,2013/01/11,182,B
+07DA001,1,2013/01/12,184,B
+07DA001,1,2013/01/13,187,B
+07DA001,1,2013/01/14,189,B
+07DA001,1,2013/01/15,190,B
+07DA001,1,2013/01/16,189,B
+07DA001,1,2013/01/17,185,B
+07DA001,1,2013/01/18,181,B
+07DA001,1,2013/01/19,177,B
+07DA001,1,2013/01/20,174,B
+07DA001,1,2013/01/21,171,B
+07DA001,1,2013/01/22,168,B
+07DA001,1,2013/01/23,166,B
+07DA001,1,2013/01/24,164,B
+07DA001,1,2013/01/25,164,B
+07DA001,1,2013/01/26,163,B
+07DA001,1,2013/01/27,161,B
+07DA001,1,2013/01/28,159,B
+07DA001,1,2013/01/29,156,B
+07DA001,1,2013/01/30,156,B
+07DA001,1,2013/01/31,156,B
+07DA001,1,2013/02/01,157,B
+07DA001,1,2013/02/02,158,B
+07DA001,1,2013/02/03,159,B
+07DA001,1,2013/02/04,159,B
+07DA001,1,2013/02/05,157,B
+07DA001,1,2013/02/06,156,B
+07DA001,1,2013/02/07,154,B
+07DA001,1,2013/02/08,152,B
+07DA001,1,2013/02/09,150,B
+07DA001,1,2013/02/10,149,B
+07DA001,1,2013/02/11,148,B
+07DA001,1,2013/02/12,148,B
+07DA001,1,2013/02/13,150,B
+07DA001,1,2013/02/14,152,B
+07DA001,1,2013/02/15,154,B
+07DA001,1,2013/02/16,155,B
+07DA001,1,2013/02/17,155,B
+07DA001,1,2013/02/18,155,B
+07DA001,1,2013/02/19,155,B
+07DA001,1,2013/02/20,155,B
+07DA001,1,2013/02/21,156,B
+07DA001,1,2013/02/22,156,B
+07DA001,1,2013/02/23,156,B
+07DA001,1,2013/02/24,156,B
+07DA001,1,2013/02/25,156,B
+07DA001,1,2013/02/26,156,B
+07DA001,1,2013/02/27,156,B
+07DA001,1,2013/02/28,157,B
+07DA001,1,2013/03/01,158,B
+07DA001,1,2013/03/02,157,B
+07DA001,1,2013/03/03,157,B
+07DA001,1,2013/03/04,156,B
+07DA001,1,2013/03/05,155,B
+07DA001,1,2013/03/06,154,B
+07DA001,1,2013/03/07,154,B
+07DA001,1,2013/03/08,153,B
+07DA001,1,2013/03/09,153,B
+07DA001,1,2013/03/10,153,B
+07DA001,1,2013/03/11,152,B
+07DA001,1,2013/03/12,153,B
+07DA001,1,2013/03/13,153,B
+07DA001,1,2013/03/14,153,B
+07DA001,1,2013/03/15,152,B
+07DA001,1,2013/03/16,152,B
+07DA001,1,2013/03/17,151,B
+07DA001,1,2013/03/18,149,B
+07DA001,1,2013/03/19,147,B
+07DA001,1,2013/03/20,146,B
+07DA001,1,2013/03/21,147,B
+07DA001,1,2013/03/22,149,B
+07DA001,1,2013/03/23,149,B
+07DA001,1,2013/03/24,148,B
+07DA001,1,2013/03/25,146,B
+07DA001,1,2013/03/26,144,B
+07DA001,1,2013/03/27,143,B
+07DA001,1,2013/03/28,143,B
+07DA001,1,2013/03/29,144,B
+07DA001,1,2013/03/30,147,B
+07DA001,1,2013/03/31,149,B
+07DA001,1,2013/04/01,151,B
+07DA001,1,2013/04/02,152,B
+07DA001,1,2013/04/03,151,B
+07DA001,1,2013/04/04,150,B
+07DA001,1,2013/04/05,149,B
+07DA001,1,2013/04/06,149,B
+07DA001,1,2013/04/07,150,B
+07DA001,1,2013/04/08,151,B
+07DA001,1,2013/04/09,153,B
+07DA001,1,2013/04/10,158,B
+07DA001,1,2013/04/11,165,B
+07DA001,1,2013/04/12,174,B
+07DA001,1,2013/04/13,183,B
+07DA001,1,2013/04/14,191,B
+07DA001,1,2013/04/15,197,B
+07DA001,1,2013/04/16,201,B
+07DA001,1,2013/04/17,204,B
+07DA001,1,2013/04/18,204,B
+07DA001,1,2013/04/19,204,B
+07DA001,1,2013/04/20,205,B
+07DA001,1,2013/04/21,206,B
+07DA001,1,2013/04/22,207,B
+07DA001,1,2013/04/23,204,B
+07DA001,1,2013/04/24,206,B
+07DA001,1,2013/04/25,232,B
+07DA001,1,2013/04/26,279,B
+07DA001,1,2013/04/27,331,B
+07DA001,1,2013/04/28,371,B
+07DA001,1,2013/04/29,395,B
+07DA001,1,2013/04/30,432,B
+07DA001,1,2013/05/01,523,B
+07DA001,1,2013/05/02,666,B
+07DA001,1,2013/05/03,859,B
+07DA001,1,2013/05/04,1100,B
+07DA001,1,2013/05/05,1380,B
+07DA001,1,2013/05/06,1730,B
+07DA001,1,2013/05/07,2150,
+07DA001,1,2013/05/08,2400,
+07DA001,1,2013/05/09,2550,
+07DA001,1,2013/05/10,2620,
+07DA001,1,2013/05/11,2600,
+07DA001,1,2013/05/12,2500,
+07DA001,1,2013/05/13,2440,
+07DA001,1,2013/05/14,2360,
+07DA001,1,2013/05/15,2270,
+07DA001,1,2013/05/16,2200,
+07DA001,1,2013/05/17,2150,
+07DA001,1,2013/05/18,2250,
+07DA001,1,2013/05/19,2170,
+07DA001,1,2013/05/20,1990,
+07DA001,1,2013/05/21,1820,
+07DA001,1,2013/05/22,1670,
+07DA001,1,2013/05/23,1540,
+07DA001,1,2013/05/24,1460,
+07DA001,1,2013/05/25,1390,
+07DA001,1,2013/05/26,1330,
+07DA001,1,2013/05/27,1290,
+07DA001,1,2013/05/28,1280,
+07DA001,1,2013/05/29,1330,
+07DA001,1,2013/05/30,1830,
+07DA001,1,2013/05/31,1830,
+07DA001,1,2013/06/01,1760,
+07DA001,1,2013/06/02,1720,
+07DA001,1,2013/06/03,1680,
+07DA001,1,2013/06/04,1690,
+07DA001,1,2013/06/05,1750,
+07DA001,1,2013/06/06,1790,
+07DA001,1,2013/06/07,1770,
+07DA001,1,2013/06/08,1890,
+07DA001,1,2013/06/09,1980,
+07DA001,1,2013/06/10,2330,
+07DA001,1,2013/06/11,2680,
+07DA001,1,2013/06/12,2740,
+07DA001,1,2013/06/13,2790,
+07DA001,1,2013/06/14,2680,
+07DA001,1,2013/06/15,2550,
+07DA001,1,2013/06/16,2470,
+07DA001,1,2013/06/17,2400,
+07DA001,1,2013/06/18,2400,A
+07DA001,1,2013/06/19,2420,A
+07DA001,1,2013/06/20,2390,
+07DA001,1,2013/06/21,2280,
+07DA001,1,2013/06/22,2170,
+07DA001,1,2013/06/23,2220,
+07DA001,1,2013/06/24,2600,
+07DA001,1,2013/06/25,3050,
+07DA001,1,2013/06/26,3050,
+07DA001,1,2013/06/27,2750,
+07DA001,1,2013/06/28,2520,
+07DA001,1,2013/06/29,2320,
+07DA001,1,2013/06/30,2160,
+07DA001,1,2013/07/01,2020,
+07DA001,1,2013/07/02,1860,
+07DA001,1,2013/07/03,1720,
+07DA001,1,2013/07/04,1620,
+07DA001,1,2013/07/05,1570,
+07DA001,1,2013/07/06,1540,
+07DA001,1,2013/07/07,1540,
+07DA001,1,2013/07/08,1630,
+07DA001,1,2013/07/09,1640,
+07DA001,1,2013/07/10,1550,
+07DA001,1,2013/07/11,1460,
+07DA001,1,2013/07/12,1420,
+07DA001,1,2013/07/13,1380,
+07DA001,1,2013/07/14,1340,
+07DA001,1,2013/07/15,1320,
+07DA001,1,2013/07/16,1350,
+07DA001,1,2013/07/17,1370,
+07DA001,1,2013/07/18,1310,
+07DA001,1,2013/07/19,1220,
+07DA001,1,2013/07/20,1150,
+07DA001,1,2013/07/21,1130,
+07DA001,1,2013/07/22,1120,
+07DA001,1,2013/07/23,1100,
+07DA001,1,2013/07/24,1090,
+07DA001,1,2013/07/25,1090,A
+07DA001,1,2013/07/26,1110,
+07DA001,1,2013/07/27,1100,
+07DA001,1,2013/07/28,1140,
+07DA001,1,2013/07/29,1190,
+07DA001,1,2013/07/30,1220,
+07DA001,1,2013/07/31,1260,
+07DA001,1,2013/08/01,1320,
+07DA001,1,2013/08/02,1330,
+07DA001,1,2013/08/03,1280,
+07DA001,1,2013/08/04,1180,
+07DA001,1,2013/08/05,1100,
+07DA001,1,2013/08/06,1040,
+07DA001,1,2013/08/07,995,
+07DA001,1,2013/08/08,969,
+07DA001,1,2013/08/09,957,
+07DA001,1,2013/08/10,965,
+07DA001,1,2013/08/11,965,
+07DA001,1,2013/08/12,944,
+07DA001,1,2013/08/13,937,
+07DA001,1,2013/08/14,930,
+07DA001,1,2013/08/15,928,
+07DA001,1,2013/08/16,936,
+07DA001,1,2013/08/17,973,
+07DA001,1,2013/08/18,993,
+07DA001,1,2013/08/19,1010,
+07DA001,1,2013/08/20,994,
+07DA001,1,2013/08/21,970,
+07DA001,1,2013/08/22,940,
+07DA001,1,2013/08/23,922,
+07DA001,1,2013/08/24,905,
+07DA001,1,2013/08/25,886,
+07DA001,1,2013/08/26,866,
+07DA001,1,2013/08/27,819,
+07DA001,1,2013/08/28,764,
+07DA001,1,2013/08/29,729,
+07DA001,1,2013/08/30,712,
+07DA001,1,2013/08/31,703,
+07DA001,1,2013/09/01,707,
+07DA001,1,2013/09/02,715,
+07DA001,1,2013/09/03,731,
+07DA001,1,2013/09/04,729,
+07DA001,1,2013/09/05,725,
+07DA001,1,2013/09/06,729,
+07DA001,1,2013/09/07,700,
+07DA001,1,2013/09/08,667,
+07DA001,1,2013/09/09,649,
+07DA001,1,2013/09/10,640,
+07DA001,1,2013/09/11,632,
+07DA001,1,2013/09/12,631,
+07DA001,1,2013/09/13,638,
+07DA001,1,2013/09/14,632,
+07DA001,1,2013/09/15,616,
+07DA001,1,2013/09/16,614,
+07DA001,1,2013/09/17,596,
+07DA001,1,2013/09/18,570,
+07DA001,1,2013/09/19,555,
+07DA001,1,2013/09/20,559,
+07DA001,1,2013/09/21,564,
+07DA001,1,2013/09/22,562,
+07DA001,1,2013/09/23,555,
+07DA001,1,2013/09/24,550,
+07DA001,1,2013/09/25,529,
+07DA001,1,2013/09/26,504,
+07DA001,1,2013/09/27,481,
+07DA001,1,2013/09/28,464,
+07DA001,1,2013/09/29,454,
+07DA001,1,2013/09/30,466,
+07DA001,1,2013/10/01,472,
+07DA001,1,2013/10/02,475,
+07DA001,1,2013/10/03,473,
+07DA001,1,2013/10/04,467,
+07DA001,1,2013/10/05,466,
+07DA001,1,2013/10/06,461,
+07DA001,1,2013/10/07,459,
+07DA001,1,2013/10/08,465,
+07DA001,1,2013/10/09,460,
+07DA001,1,2013/10/10,459,
+07DA001,1,2013/10/11,451,
+07DA001,1,2013/10/12,444,
+07DA001,1,2013/10/13,438,
+07DA001,1,2013/10/14,430,
+07DA001,1,2013/10/15,434,
+07DA001,1,2013/10/16,433,
+07DA001,1,2013/10/17,427,
+07DA001,1,2013/10/18,416,
+07DA001,1,2013/10/19,412,
+07DA001,1,2013/10/20,407,
+07DA001,1,2013/10/21,402,
+07DA001,1,2013/10/22,398,
+07DA001,1,2013/10/23,393,
+07DA001,1,2013/10/24,391,
+07DA001,1,2013/10/25,390,
+07DA001,1,2013/10/26,385,
+07DA001,1,2013/10/27,379,
+07DA001,1,2013/10/28,367,B
+07DA001,1,2013/10/29,349,B
+07DA001,1,2013/10/30,351,B
+07DA001,1,2013/10/31,344,B
+07DA001,1,2013/11/01,354,B
+07DA001,1,2013/11/02,350,B
+07DA001,1,2013/11/03,330,B
+07DA001,1,2013/11/04,305,B
+07DA001,1,2013/11/05,285,B
+07DA001,1,2013/11/06,254,B
+07DA001,1,2013/11/07,249,B
+07DA001,1,2013/11/08,271,B
+07DA001,1,2013/11/09,299,B
+07DA001,1,2013/11/10,346,B
+07DA001,1,2013/11/11,319,B
+07DA001,1,2013/11/12,322,B
+07DA001,1,2013/11/13,335,B
+07DA001,1,2013/11/14,332,B
+07DA001,1,2013/11/15,316,B
+07DA001,1,2013/11/16,298,B
+07DA001,1,2013/11/17,251,B
+07DA001,1,2013/11/18,210,B
+07DA001,1,2013/11/19,189,B
+07DA001,1,2013/11/20,172,B
+07DA001,1,2013/11/21,157,B
+07DA001,1,2013/11/22,144,B
+07DA001,1,2013/11/23,149,B
+07DA001,1,2013/11/24,171,B
+07DA001,1,2013/11/25,195,B
+07DA001,1,2013/11/26,214,B
+07DA001,1,2013/11/27,222,B
+07DA001,1,2013/11/28,210,B
+07DA001,1,2013/11/29,217,B
+07DA001,1,2013/11/30,217,B
+07DA001,1,2013/12/01,216,B
+07DA001,1,2013/12/02,215,B
+07DA001,1,2013/12/03,212,B
+07DA001,1,2013/12/04,213,B
+07DA001,1,2013/12/05,206,B
+07DA001,1,2013/12/06,204,B
+07DA001,1,2013/12/07,211,B
+07DA001,1,2013/12/08,199,B
+07DA001,1,2013/12/09,181,B
+07DA001,1,2013/12/10,176,B
+07DA001,1,2013/12/11,168,B
+07DA001,1,2013/12/12,154,B
+07DA001,1,2013/12/13,155,B
+07DA001,1,2013/12/14,160,B
+07DA001,1,2013/12/15,153,B
+07DA001,1,2013/12/16,149,B
+07DA001,1,2013/12/17,147,B
+07DA001,1,2013/12/18,146,B
+07DA001,1,2013/12/19,146,B
+07DA001,1,2013/12/20,148,B
+07DA001,1,2013/12/21,151,B
+07DA001,1,2013/12/22,158,B
+07DA001,1,2013/12/23,167,B
+07DA001,1,2013/12/24,175,B
+07DA001,1,2013/12/25,182,B
+07DA001,1,2013/12/26,184,B
+07DA001,1,2013/12/27,183,B
+07DA001,1,2013/12/28,178,B
+07DA001,1,2013/12/29,173,B
+07DA001,1,2013/12/30,169,B
+07DA001,1,2013/12/31,170,B
+07DA001,1,2014/01/01,177,B
+07DA001,1,2014/01/02,188,B
+07DA001,1,2014/01/03,198,B
+07DA001,1,2014/01/04,204,B
+07DA001,1,2014/01/05,208,B
+07DA001,1,2014/01/06,209,B
+07DA001,1,2014/01/07,208,B
+07DA001,1,2014/01/08,206,B
+07DA001,1,2014/01/09,204,B
+07DA001,1,2014/01/10,201,B
+07DA001,1,2014/01/11,199,B
+07DA001,1,2014/01/12,196,B
+07DA001,1,2014/01/13,194,B
+07DA001,1,2014/01/14,192,B
+07DA001,1,2014/01/15,192,B
+07DA001,1,2014/01/16,191,B
+07DA001,1,2014/01/17,192,B
+07DA001,1,2014/01/18,194,B
+07DA001,1,2014/01/19,197,B
+07DA001,1,2014/01/20,201,B
+07DA001,1,2014/01/21,205,B
+07DA001,1,2014/01/22,209,B
+07DA001,1,2014/01/23,212,B
+07DA001,1,2014/01/24,215,B
+07DA001,1,2014/01/25,217,B
+07DA001,1,2014/01/26,218,B
+07DA001,1,2014/01/27,217,B
+07DA001,1,2014/01/28,217,B
+07DA001,1,2014/01/29,216,B
+07DA001,1,2014/01/30,215,B
+07DA001,1,2014/01/31,214,B
+07DA001,1,2014/02/01,212,B
+07DA001,1,2014/02/02,210,B
+07DA001,1,2014/02/03,207,B
+07DA001,1,2014/02/04,204,B
+07DA001,1,2014/02/05,200,B
+07DA001,1,2014/02/06,197,B
+07DA001,1,2014/02/07,193,B
+07DA001,1,2014/02/08,190,B
+07DA001,1,2014/02/09,186,B
+07DA001,1,2014/02/10,180,B
+07DA001,1,2014/02/11,175,B
+07DA001,1,2014/02/12,172,B
+07DA001,1,2014/02/13,169,B
+07DA001,1,2014/02/14,167,B
+07DA001,1,2014/02/15,164,B
+07DA001,1,2014/02/16,160,B
+07DA001,1,2014/02/17,158,B
+07DA001,1,2014/02/18,157,B
+07DA001,1,2014/02/19,158,B
+07DA001,1,2014/02/20,161,B
+07DA001,1,2014/02/21,163,B
+07DA001,1,2014/02/22,164,B
+07DA001,1,2014/02/23,166,B
+07DA001,1,2014/02/24,169,B
+07DA001,1,2014/02/25,172,B
+07DA001,1,2014/02/26,174,B
+07DA001,1,2014/02/27,176,B
+07DA001,1,2014/02/28,175,B
+07DA001,1,2014/03/01,173,B
+07DA001,1,2014/03/02,171,B
+07DA001,1,2014/03/03,170,B
+07DA001,1,2014/03/04,169,B
+07DA001,1,2014/03/05,167,B
+07DA001,1,2014/03/06,165,B
+07DA001,1,2014/03/07,161,B
+07DA001,1,2014/03/08,158,B
+07DA001,1,2014/03/09,158,B
+07DA001,1,2014/03/10,158,B
+07DA001,1,2014/03/11,158,B
+07DA001,1,2014/03/12,158,B
+07DA001,1,2014/03/13,160,B
+07DA001,1,2014/03/14,160,B
+07DA001,1,2014/03/15,164,B
+07DA001,1,2014/03/16,171,B
+07DA001,1,2014/03/17,179,B
+07DA001,1,2014/03/18,182,B
+07DA001,1,2014/03/19,185,B
+07DA001,1,2014/03/20,191,B
+07DA001,1,2014/03/21,194,B
+07DA001,1,2014/03/22,197,B
+07DA001,1,2014/03/23,200,B
+07DA001,1,2014/03/24,203,B
+07DA001,1,2014/03/25,206,B
+07DA001,1,2014/03/26,208,B
+07DA001,1,2014/03/27,210,B
+07DA001,1,2014/03/28,211,B
+07DA001,1,2014/03/29,211,B
+07DA001,1,2014/03/30,210,B
+07DA001,1,2014/03/31,208,B
+07DA001,1,2014/04/01,206,B
+07DA001,1,2014/04/02,204,B
+07DA001,1,2014/04/03,201,B
+07DA001,1,2014/04/04,202,B
+07DA001,1,2014/04/05,200,B
+07DA001,1,2014/04/06,198,B
+07DA001,1,2014/04/07,196,B
+07DA001,1,2014/04/08,196,B
+07DA001,1,2014/04/09,196,B
+07DA001,1,2014/04/10,198,B
+07DA001,1,2014/04/11,209,B
+07DA001,1,2014/04/12,225,B
+07DA001,1,2014/04/13,233,B
+07DA001,1,2014/04/14,233,B
+07DA001,1,2014/04/15,229,B
+07DA001,1,2014/04/16,222,B
+07DA001,1,2014/04/17,217,B
+07DA001,1,2014/04/18,217,B
+07DA001,1,2014/04/19,226,B
+07DA001,1,2014/04/20,247,B
+07DA001,1,2014/04/21,275,B
+07DA001,1,2014/04/22,336,B
+07DA001,1,2014/04/23,506,B
+07DA001,1,2014/04/24,637,B
+07DA001,1,2014/04/25,737,B
+07DA001,1,2014/04/26,1020,B
+07DA001,1,2014/04/27,1330,B
+07DA001,1,2014/04/28,1420,B
+07DA001,1,2014/04/29,1350,B
+07DA001,1,2014/04/30,1390,B
+07DA001,1,2014/05/01,1460,B
+07DA001,1,2014/05/02,1540,B
+07DA001,1,2014/05/03,1600,B
+07DA001,1,2014/05/04,1630,E
+07DA001,1,2014/05/05,1630,E
+07DA001,1,2014/05/06,1600,E
+07DA001,1,2014/05/07,1540,E
+07DA001,1,2014/05/08,1460,E
+07DA001,1,2014/05/09,1370,E
+07DA001,1,2014/05/10,1280,E
+07DA001,1,2014/05/11,1190,E
+07DA001,1,2014/05/12,1110,E
+07DA001,1,2014/05/13,1060,
+07DA001,1,2014/05/14,1030,
+07DA001,1,2014/05/15,1020,
+07DA001,1,2014/05/16,1020,
+07DA001,1,2014/05/17,1020,
+07DA001,1,2014/05/18,1020,
+07DA001,1,2014/05/19,1020,
+07DA001,1,2014/05/20,1050,
+07DA001,1,2014/05/21,1070,
+07DA001,1,2014/05/22,1080,
+07DA001,1,2014/05/23,1100,
+07DA001,1,2014/05/24,1130,
+07DA001,1,2014/05/25,1180,
+07DA001,1,2014/05/26,1190,
+07DA001,1,2014/05/27,1220,
+07DA001,1,2014/05/28,1270,
+07DA001,1,2014/05/29,1470,
+07DA001,1,2014/05/30,1700,
+07DA001,1,2014/05/31,1770,
+07DA001,1,2014/06/01,1820,
+07DA001,1,2014/06/02,1880,
+07DA001,1,2014/06/03,1920,
+07DA001,1,2014/06/04,1880,
+07DA001,1,2014/06/05,1850,
+07DA001,1,2014/06/06,1820,
+07DA001,1,2014/06/07,1780,
+07DA001,1,2014/06/08,1780,
+07DA001,1,2014/06/09,1780,
+07DA001,1,2014/06/10,1800,
+07DA001,1,2014/06/11,1750,
+07DA001,1,2014/06/12,1670,
+07DA001,1,2014/06/13,1590,
+07DA001,1,2014/06/14,1540,
+07DA001,1,2014/06/15,1560,
+07DA001,1,2014/06/16,1500,
+07DA001,1,2014/06/17,1400,
+07DA001,1,2014/06/18,1340,
+07DA001,1,2014/06/19,1320,
+07DA001,1,2014/06/20,1360,
+07DA001,1,2014/06/21,1460,
+07DA001,1,2014/06/22,1610,
+07DA001,1,2014/06/23,1590,
+07DA001,1,2014/06/24,1550,
+07DA001,1,2014/06/25,1540,
+07DA001,1,2014/06/26,1620,
+07DA001,1,2014/06/27,1670,
+07DA001,1,2014/06/28,1620,
+07DA001,1,2014/06/29,1590,
+07DA001,1,2014/06/30,1620,
+07DA001,1,2014/07/01,1620,
+07DA001,1,2014/07/02,1530,
+07DA001,1,2014/07/03,1440,
+07DA001,1,2014/07/04,1400,
+07DA001,1,2014/07/05,1370,
+07DA001,1,2014/07/06,1310,
+07DA001,1,2014/07/07,1240,
+07DA001,1,2014/07/08,1200,
+07DA001,1,2014/07/09,1210,
+07DA001,1,2014/07/10,1190,
+07DA001,1,2014/07/11,1110,
+07DA001,1,2014/07/12,1050,
+07DA001,1,2014/07/13,1010,
+07DA001,1,2014/07/14,966,
+07DA001,1,2014/07/15,937,
+07DA001,1,2014/07/16,921,
+07DA001,1,2014/07/17,877,
+07DA001,1,2014/07/18,836,
+07DA001,1,2014/07/19,821,
+07DA001,1,2014/07/20,819,
+07DA001,1,2014/07/21,842,
+07DA001,1,2014/07/22,854,
+07DA001,1,2014/07/23,854,
+07DA001,1,2014/07/24,846,
+07DA001,1,2014/07/25,821,
+07DA001,1,2014/07/26,872,
+07DA001,1,2014/07/27,853,
+07DA001,1,2014/07/28,794,
+07DA001,1,2014/07/29,765,
+07DA001,1,2014/07/30,784,
+07DA001,1,2014/07/31,866,
+07DA001,1,2014/08/01,846,
+07DA001,1,2014/08/02,788,
+07DA001,1,2014/08/03,752,
+07DA001,1,2014/08/04,725,
+07DA001,1,2014/08/05,719,
+07DA001,1,2014/08/06,714,
+07DA001,1,2014/08/07,703,
+07DA001,1,2014/08/08,687,
+07DA001,1,2014/08/09,692,
+07DA001,1,2014/08/10,687,
+07DA001,1,2014/08/11,672,
+07DA001,1,2014/08/12,656,
+07DA001,1,2014/08/13,664,
+07DA001,1,2014/08/14,660,
+07DA001,1,2014/08/15,635,
+07DA001,1,2014/08/16,602,
+07DA001,1,2014/08/17,573,
+07DA001,1,2014/08/18,554,
+07DA001,1,2014/08/19,557,
+07DA001,1,2014/08/20,570,
+07DA001,1,2014/08/21,566,
+07DA001,1,2014/08/22,572,
+07DA001,1,2014/08/23,610,
+07DA001,1,2014/08/24,627,
+07DA001,1,2014/08/25,616,
+07DA001,1,2014/08/26,600,
+07DA001,1,2014/08/27,573,
+07DA001,1,2014/08/28,536,
+07DA001,1,2014/08/29,508,
+07DA001,1,2014/08/30,497,
+07DA001,1,2014/08/31,484,
+07DA001,1,2014/09/01,472,
+07DA001,1,2014/09/02,461,
+07DA001,1,2014/09/03,458,
+07DA001,1,2014/09/04,497,
+07DA001,1,2014/09/05,508,
+07DA001,1,2014/09/06,496,
+07DA001,1,2014/09/07,494,
+07DA001,1,2014/09/08,472,
+07DA001,1,2014/09/09,449,
+07DA001,1,2014/09/10,446,
+07DA001,1,2014/09/11,437,
+07DA001,1,2014/09/12,428,
+07DA001,1,2014/09/13,420,
+07DA001,1,2014/09/14,417,
+07DA001,1,2014/09/15,423,
+07DA001,1,2014/09/16,438,
+07DA001,1,2014/09/17,432,
+07DA001,1,2014/09/18,423,
+07DA001,1,2014/09/19,414,
+07DA001,1,2014/09/20,409,
+07DA001,1,2014/09/21,400,
+07DA001,1,2014/09/22,395,
+07DA001,1,2014/09/23,394,
+07DA001,1,2014/09/24,392,
+07DA001,1,2014/09/25,388,
+07DA001,1,2014/09/26,411,
+07DA001,1,2014/09/27,465,
+07DA001,1,2014/09/28,474,
+07DA001,1,2014/09/29,460,
+07DA001,1,2014/09/30,460,
+07DA001,1,2014/10/01,481,
+07DA001,1,2014/10/02,535,
+07DA001,1,2014/10/03,573,
+07DA001,1,2014/10/04,572,
+07DA001,1,2014/10/05,542,
+07DA001,1,2014/10/06,517,
+07DA001,1,2014/10/07,491,
+07DA001,1,2014/10/08,473,
+07DA001,1,2014/10/09,462,
+07DA001,1,2014/10/10,446,
+07DA001,1,2014/10/11,430,
+07DA001,1,2014/10/12,417,
+07DA001,1,2014/10/13,411,
+07DA001,1,2014/10/14,407,
+07DA001,1,2014/10/15,409,
+07DA001,1,2014/10/16,402,
+07DA001,1,2014/10/17,393,
+07DA001,1,2014/10/18,384,
+07DA001,1,2014/10/19,379,
+07DA001,1,2014/10/20,384,
+07DA001,1,2014/10/21,375,
+07DA001,1,2014/10/22,363,
+07DA001,1,2014/10/23,364,
+07DA001,1,2014/10/24,377,
+07DA001,1,2014/10/25,369,
+07DA001,1,2014/10/26,367,
+07DA001,1,2014/10/27,364,
+07DA001,1,2014/10/28,361,
+07DA001,1,2014/10/29,364,
+07DA001,1,2014/10/30,365,
+07DA001,1,2014/10/31,364,
+07DA001,1,2014/11/01,366,
+07DA001,1,2014/11/02,359,
+07DA001,1,2014/11/03,356,
+07DA001,1,2014/11/04,353,
+07DA001,1,2014/11/05,350,
+07DA001,1,2014/11/06,349,
+07DA001,1,2014/11/07,347,B
+07DA001,1,2014/11/08,303,B
+07DA001,1,2014/11/09,259,B
+07DA001,1,2014/11/10,248,B
+07DA001,1,2014/11/11,252,B
+07DA001,1,2014/11/12,252,B
+07DA001,1,2014/11/13,244,B
+07DA001,1,2014/11/14,234,B
+07DA001,1,2014/11/15,227,B
+07DA001,1,2014/11/16,222,B
+07DA001,1,2014/11/17,217,B
+07DA001,1,2014/11/18,212,B
+07DA001,1,2014/11/19,207,B
+07DA001,1,2014/11/20,205,B
+07DA001,1,2014/11/21,203,B
+07DA001,1,2014/11/22,201,B
+07DA001,1,2014/11/23,202,B
+07DA001,1,2014/11/24,207,B
+07DA001,1,2014/11/25,213,B
+07DA001,1,2014/11/26,219,B
+07DA001,1,2014/11/27,224,B
+07DA001,1,2014/11/28,228,B
+07DA001,1,2014/11/29,230,B
+07DA001,1,2014/11/30,231,B
+07DA001,1,2014/12/01,230,B
+07DA001,1,2014/12/02,226,B
+07DA001,1,2014/12/03,219,B
+07DA001,1,2014/12/04,211,B
+07DA001,1,2014/12/05,203,B
+07DA001,1,2014/12/06,195,B
+07DA001,1,2014/12/07,188,B
+07DA001,1,2014/12/08,181,B
+07DA001,1,2014/12/09,177,B
+07DA001,1,2014/12/10,172,B
+07DA001,1,2014/12/11,168,B
+07DA001,1,2014/12/12,165,B
+07DA001,1,2014/12/13,157,B
+07DA001,1,2014/12/14,161,B
+07DA001,1,2014/12/15,169,B
+07DA001,1,2014/12/16,171,B
+07DA001,1,2014/12/17,176,B
+07DA001,1,2014/12/18,179,B
+07DA001,1,2014/12/19,182,B
+07DA001,1,2014/12/20,183,B
+07DA001,1,2014/12/21,184,B
+07DA001,1,2014/12/22,184,B
+07DA001,1,2014/12/23,183,B
+07DA001,1,2014/12/24,181,B
+07DA001,1,2014/12/25,177,B
+07DA001,1,2014/12/26,171,B
+07DA001,1,2014/12/27,165,B
+07DA001,1,2014/12/28,158,B
+07DA001,1,2014/12/29,147,B
+07DA001,1,2014/12/30,142,B
+07DA001,1,2014/12/31,147,B
+07DA001,1,2015/01/01,156,B
+07DA001,1,2015/01/02,157,B
+07DA001,1,2015/01/03,155,B
+07DA001,1,2015/01/04,151,B
+07DA001,1,2015/01/05,145,B
+07DA001,1,2015/01/06,141,B
+07DA001,1,2015/01/07,136,B
+07DA001,1,2015/01/08,129,B
+07DA001,1,2015/01/09,125,B
+07DA001,1,2015/01/10,122,B
+07DA001,1,2015/01/11,116,B
+07DA001,1,2015/01/12,110,B
+07DA001,1,2015/01/13,106,B
+07DA001,1,2015/01/14,103,B
+07DA001,1,2015/01/15,107,B
+07DA001,1,2015/01/16,111,B
+07DA001,1,2015/01/17,112,B
+07DA001,1,2015/01/18,114,B
+07DA001,1,2015/01/19,116,B
+07DA001,1,2015/01/20,120,B
+07DA001,1,2015/01/21,122,B
+07DA001,1,2015/01/22,125,B
+07DA001,1,2015/01/23,128,B
+07DA001,1,2015/01/24,135,B
+07DA001,1,2015/01/25,138,B
+07DA001,1,2015/01/26,140,B
+07DA001,1,2015/01/27,146,B
+07DA001,1,2015/01/28,151,B
+07DA001,1,2015/01/29,152,B
+07DA001,1,2015/01/30,154,B
+07DA001,1,2015/01/31,157,B
+07DA001,1,2015/02/01,160,B
+07DA001,1,2015/02/02,162,B
+07DA001,1,2015/02/03,162,B
+07DA001,1,2015/02/04,161,B
+07DA001,1,2015/02/05,158,B
+07DA001,1,2015/02/06,154,B
+07DA001,1,2015/02/07,148,B
+07DA001,1,2015/02/08,138,B
+07DA001,1,2015/02/09,128,B
+07DA001,1,2015/02/10,123,B
+07DA001,1,2015/02/11,126,B
+07DA001,1,2015/02/12,129,B
+07DA001,1,2015/02/13,133,B
+07DA001,1,2015/02/14,136,B
+07DA001,1,2015/02/15,136,B
+07DA001,1,2015/02/16,138,B
+07DA001,1,2015/02/17,138,B
+07DA001,1,2015/02/18,135,B
+07DA001,1,2015/02/19,137,B
+07DA001,1,2015/02/20,139,B
+07DA001,1,2015/02/21,142,B
+07DA001,1,2015/02/22,145,B
+07DA001,1,2015/02/23,147,B
+07DA001,1,2015/02/24,149,B
+07DA001,1,2015/02/25,150,B
+07DA001,1,2015/02/26,150,B
+07DA001,1,2015/02/27,150,B
+07DA001,1,2015/02/28,149,B
+07DA001,1,2015/03/01,148,B
+07DA001,1,2015/03/02,147,B
+07DA001,1,2015/03/03,146,B
+07DA001,1,2015/03/04,144,B
+07DA001,1,2015/03/05,143,B
+07DA001,1,2015/03/06,144,B
+07DA001,1,2015/03/07,145,B
+07DA001,1,2015/03/08,145,B
+07DA001,1,2015/03/09,142,B
+07DA001,1,2015/03/10,138,B
+07DA001,1,2015/03/11,135,B
+07DA001,1,2015/03/12,135,B
+07DA001,1,2015/03/13,142,B
+07DA001,1,2015/03/14,144,B
+07DA001,1,2015/03/15,150,B
+07DA001,1,2015/03/16,150,B
+07DA001,1,2015/03/17,154,B
+07DA001,1,2015/03/18,171,B
+07DA001,1,2015/03/19,191,B
+07DA001,1,2015/03/20,190,B
+07DA001,1,2015/03/21,197,B
+07DA001,1,2015/03/22,217,B
+07DA001,1,2015/03/23,241,B
+07DA001,1,2015/03/24,254,B
+07DA001,1,2015/03/25,267,B
+07DA001,1,2015/03/26,270,B
+07DA001,1,2015/03/27,271,B
+07DA001,1,2015/03/28,269,B
+07DA001,1,2015/03/29,259,B
+07DA001,1,2015/03/30,260,B
+07DA001,1,2015/03/31,273,B
+07DA001,1,2015/04/01,299,B
+07DA001,1,2015/04/02,313,B
+07DA001,1,2015/04/03,320,B
+07DA001,1,2015/04/04,321,B
+07DA001,1,2015/04/05,361,B
+07DA001,1,2015/04/06,423,B
+07DA001,1,2015/04/07,719,B
+07DA001,1,2015/04/08,923,B
+07DA001,1,2015/04/09,839,B
+07DA001,1,2015/04/10,745,B
+07DA001,1,2015/04/11,731,B
+07DA001,1,2015/04/12,691,B
+07DA001,1,2015/04/13,672,B
+07DA001,1,2015/04/14,645,B
+07DA001,1,2015/04/15,663,B
+07DA001,1,2015/04/16,681,B
+07DA001,1,2015/04/17,679,B
+07DA001,1,2015/04/18,663,B
+07DA001,1,2015/04/19,644,B
+07DA001,1,2015/04/20,635,B
+07DA001,1,2015/04/21,637,B
+07DA001,1,2015/04/22,644,B
+07DA001,1,2015/04/23,653,B
+07DA001,1,2015/04/24,657,B
+07DA001,1,2015/04/25,659,B
+07DA001,1,2015/04/26,669,B
+07DA001,1,2015/04/27,722,
+07DA001,1,2015/04/28,774,
+07DA001,1,2015/04/29,785,
+07DA001,1,2015/04/30,766,B
+07DA001,1,2015/05/01,764,B
+07DA001,1,2015/05/02,751,
+07DA001,1,2015/05/03,747,
+07DA001,1,2015/05/04,741,
+07DA001,1,2015/05/05,731,
+07DA001,1,2015/05/06,742,
+07DA001,1,2015/05/07,735,
+07DA001,1,2015/05/08,712,
+07DA001,1,2015/05/09,691,
+07DA001,1,2015/05/10,674,
+07DA001,1,2015/05/11,661,
+07DA001,1,2015/05/12,652,
+07DA001,1,2015/05/13,652,
+07DA001,1,2015/05/14,638,
+07DA001,1,2015/05/15,621,
+07DA001,1,2015/05/16,611,
+07DA001,1,2015/05/17,587,
+07DA001,1,2015/05/18,585,
+07DA001,1,2015/05/19,593,
+07DA001,1,2015/05/20,612,
+07DA001,1,2015/05/21,632,
+07DA001,1,2015/05/22,642,
+07DA001,1,2015/05/23,652,
+07DA001,1,2015/05/24,656,
+07DA001,1,2015/05/25,642,
+07DA001,1,2015/05/26,671,
+07DA001,1,2015/05/27,746,
+07DA001,1,2015/05/28,804,
+07DA001,1,2015/05/29,854,
+07DA001,1,2015/05/30,887,
+07DA001,1,2015/05/31,889,
+07DA001,1,2015/06/01,901,
+07DA001,1,2015/06/02,934,
+07DA001,1,2015/06/03,989,
+07DA001,1,2015/06/04,1060,
+07DA001,1,2015/06/05,1090,
+07DA001,1,2015/06/06,1080,
+07DA001,1,2015/06/07,1010,
+07DA001,1,2015/06/08,966,
+07DA001,1,2015/06/09,950,
+07DA001,1,2015/06/10,934,
+07DA001,1,2015/06/11,912,
+07DA001,1,2015/06/12,907,
+07DA001,1,2015/06/13,926,
+07DA001,1,2015/06/14,956,
+07DA001,1,2015/06/15,955,
+07DA001,1,2015/06/16,913,
+07DA001,1,2015/06/17,852,
+07DA001,1,2015/06/18,820,
+07DA001,1,2015/06/19,782,
+07DA001,1,2015/06/20,719,
+07DA001,1,2015/06/21,677,
+07DA001,1,2015/06/22,650,
+07DA001,1,2015/06/23,651,
+07DA001,1,2015/06/24,688,
+07DA001,1,2015/06/25,715,
+07DA001,1,2015/06/26,735,
+07DA001,1,2015/06/27,698,
+07DA001,1,2015/06/28,645,
+07DA001,1,2015/06/29,611,
+07DA001,1,2015/06/30,607,
+07DA001,1,2015/07/01,617,
+07DA001,1,2015/07/02,635,
+07DA001,1,2015/07/03,689,
+07DA001,1,2015/07/04,713,
+07DA001,1,2015/07/05,737,
+07DA001,1,2015/07/06,746,
+07DA001,1,2015/07/07,738,
+07DA001,1,2015/07/08,707,
+07DA001,1,2015/07/09,677,
+07DA001,1,2015/07/10,657,
+07DA001,1,2015/07/11,624,
+07DA001,1,2015/07/12,597,
+07DA001,1,2015/07/13,586,
+07DA001,1,2015/07/14,561,
+07DA001,1,2015/07/15,559,
+07DA001,1,2015/07/16,574,
+07DA001,1,2015/07/17,620,
+07DA001,1,2015/07/18,639,
+07DA001,1,2015/07/19,658,
+07DA001,1,2015/07/20,641,
+07DA001,1,2015/07/21,624,
+07DA001,1,2015/07/22,620,
+07DA001,1,2015/07/23,636,
+07DA001,1,2015/07/24,636,
+07DA001,1,2015/07/25,647,
+07DA001,1,2015/07/26,645,
+07DA001,1,2015/07/27,667,
+07DA001,1,2015/07/28,687,
+07DA001,1,2015/07/29,645,
+07DA001,1,2015/07/30,596,
+07DA001,1,2015/07/31,556,
+07DA001,1,2015/08/01,548,
+07DA001,1,2015/08/02,541,
+07DA001,1,2015/08/03,515,
+07DA001,1,2015/08/04,491,
+07DA001,1,2015/08/05,498,
+07DA001,1,2015/08/06,521,
+07DA001,1,2015/08/07,545,
+07DA001,1,2015/08/08,560,
+07DA001,1,2015/08/09,578,
+07DA001,1,2015/08/10,579,
+07DA001,1,2015/08/11,590,
+07DA001,1,2015/08/12,589,
+07DA001,1,2015/08/13,572,
+07DA001,1,2015/08/14,549,
+07DA001,1,2015/08/15,520,
+07DA001,1,2015/08/16,505,
+07DA001,1,2015/08/17,497,
+07DA001,1,2015/08/18,488,
+07DA001,1,2015/08/19,475,
+07DA001,1,2015/08/20,482,
+07DA001,1,2015/08/21,498,
+07DA001,1,2015/08/22,526,
+07DA001,1,2015/08/23,507,
+07DA001,1,2015/08/24,477,
+07DA001,1,2015/08/25,450,
+07DA001,1,2015/08/26,435,
+07DA001,1,2015/08/27,431,
+07DA001,1,2015/08/28,436,
+07DA001,1,2015/08/29,434,
+07DA001,1,2015/08/30,415,
+07DA001,1,2015/08/31,399,
+07DA001,1,2015/09/01,400,
+07DA001,1,2015/09/02,393,
+07DA001,1,2015/09/03,388,
+07DA001,1,2015/09/04,389,
+07DA001,1,2015/09/05,398,
+07DA001,1,2015/09/06,422,
+07DA001,1,2015/09/07,445,
+07DA001,1,2015/09/08,464,
+07DA001,1,2015/09/09,495,
+07DA001,1,2015/09/10,483,
+07DA001,1,2015/09/11,449,
+07DA001,1,2015/09/12,419,
+07DA001,1,2015/09/13,397,
+07DA001,1,2015/09/14,383,
+07DA001,1,2015/09/15,371,
+07DA001,1,2015/09/16,361,
+07DA001,1,2015/09/17,359,
+07DA001,1,2015/09/18,365,
+07DA001,1,2015/09/19,378,
+07DA001,1,2015/09/20,415,
+07DA001,1,2015/09/21,446,
+07DA001,1,2015/09/22,430,
+07DA001,1,2015/09/23,411,
+07DA001,1,2015/09/24,392,
+07DA001,1,2015/09/25,377,
+07DA001,1,2015/09/26,363,
+07DA001,1,2015/09/27,385,
+07DA001,1,2015/09/28,578,
+07DA001,1,2015/09/29,547,
+07DA001,1,2015/09/30,493,
+07DA001,1,2015/10/01,455,
+07DA001,1,2015/10/02,436,
+07DA001,1,2015/10/03,445,
+07DA001,1,2015/10/04,436,
+07DA001,1,2015/10/05,414,
+07DA001,1,2015/10/06,388,
+07DA001,1,2015/10/07,375,
+07DA001,1,2015/10/08,362,
+07DA001,1,2015/10/09,352,
+07DA001,1,2015/10/10,356,
+07DA001,1,2015/10/11,357,
+07DA001,1,2015/10/12,347,
+07DA001,1,2015/10/13,338,
+07DA001,1,2015/10/14,328,
+07DA001,1,2015/10/15,319,
+07DA001,1,2015/10/16,318,
+07DA001,1,2015/10/17,312,
+07DA001,1,2015/10/18,326,
+07DA001,1,2015/10/19,376,
+07DA001,1,2015/10/20,370,
+07DA001,1,2015/10/21,344,
+07DA001,1,2015/10/22,323,
+07DA001,1,2015/10/23,312,
+07DA001,1,2015/10/24,301,
+07DA001,1,2015/10/25,295,
+07DA001,1,2015/10/26,285,
+07DA001,1,2015/10/27,288,
+07DA001,1,2015/10/28,289,
+07DA001,1,2015/10/29,286,
+07DA001,1,2015/10/30,278,
+07DA001,1,2015/10/31,272,
+07DA001,1,2015/11/01,274,
+07DA001,1,2015/11/02,263,
+07DA001,1,2015/11/03,252,
+07DA001,1,2015/11/04,251,
+07DA001,1,2015/11/05,251,
+07DA001,1,2015/11/06,244,
+07DA001,1,2015/11/07,239,B
+07DA001,1,2015/11/08,222,B
+07DA001,1,2015/11/09,206,B
+07DA001,1,2015/11/10,198,B
+07DA001,1,2015/11/11,197,B
+07DA001,1,2015/11/12,194,B
+07DA001,1,2015/11/13,187,B
+07DA001,1,2015/11/14,179,B
+07DA001,1,2015/11/15,176,B
+07DA001,1,2015/11/16,178,B
+07DA001,1,2015/11/17,171,B
+07DA001,1,2015/11/18,160,B
+07DA001,1,2015/11/19,160,B
+07DA001,1,2015/11/20,168,B
+07DA001,1,2015/11/21,174,B
+07DA001,1,2015/11/22,171,B
+07DA001,1,2015/11/23,163,B
+07DA001,1,2015/11/24,156,B
+07DA001,1,2015/11/25,153,B
+07DA001,1,2015/11/26,152,B
+07DA001,1,2015/11/27,155,B
+07DA001,1,2015/11/28,159,B
+07DA001,1,2015/11/29,162,B
+07DA001,1,2015/11/30,160,B
+07DA001,1,2015/12/01,155,B
+07DA001,1,2015/12/02,155,B
+07DA001,1,2015/12/03,158,B
+07DA001,1,2015/12/04,158,B
+07DA001,1,2015/12/05,156,B
+07DA001,1,2015/12/06,154,B
+07DA001,1,2015/12/07,154,B
+07DA001,1,2015/12/08,154,B
+07DA001,1,2015/12/09,155,B
+07DA001,1,2015/12/10,156,B
+07DA001,1,2015/12/11,156,B
+07DA001,1,2015/12/12,156,B
+07DA001,1,2015/12/13,155,B
+07DA001,1,2015/12/14,155,B
+07DA001,1,2015/12/15,152,B
+07DA001,1,2015/12/16,151,B
+07DA001,1,2015/12/17,149,B
+07DA001,1,2015/12/18,145,B
+07DA001,1,2015/12/19,141,B
+07DA001,1,2015/12/20,135,B
+07DA001,1,2015/12/21,130,B
+07DA001,1,2015/12/22,126,B
+07DA001,1,2015/12/23,122,B
+07DA001,1,2015/12/24,119,B
+07DA001,1,2015/12/25,117,B
+07DA001,1,2015/12/26,115,B
+07DA001,1,2015/12/27,115,B
+07DA001,1,2015/12/28,115,B
+07DA001,1,2015/12/29,115,B
+07DA001,1,2015/12/30,115,B
+07DA001,1,2015/12/31,114,B
+07DA001,1,2016/01/01,114,B
+07DA001,1,2016/01/02,115,B
+07DA001,1,2016/01/03,121,B
+07DA001,1,2016/01/04,132,B
+07DA001,1,2016/01/05,134,B
+07DA001,1,2016/01/06,129,B
+07DA001,1,2016/01/07,122,B
+07DA001,1,2016/01/08,118,B
+07DA001,1,2016/01/09,117,B
+07DA001,1,2016/01/10,113,B
+07DA001,1,2016/01/11,109,B
+07DA001,1,2016/01/12,112,B
+07DA001,1,2016/01/13,112,B
+07DA001,1,2016/01/14,111,B
+07DA001,1,2016/01/15,107,B
+07DA001,1,2016/01/16,106,B
+07DA001,1,2016/01/17,105,B
+07DA001,1,2016/01/18,109,B
+07DA001,1,2016/01/19,113,B
+07DA001,1,2016/01/20,115,B
+07DA001,1,2016/01/21,116,B
+07DA001,1,2016/01/22,119,B
+07DA001,1,2016/01/23,121,B
+07DA001,1,2016/01/24,121,B
+07DA001,1,2016/01/25,121,B
+07DA001,1,2016/01/26,121,B
+07DA001,1,2016/01/27,120,B
+07DA001,1,2016/01/28,120,B
+07DA001,1,2016/01/29,121,B
+07DA001,1,2016/01/30,121,B
+07DA001,1,2016/01/31,124,B
+07DA001,1,2016/02/01,125,B
+07DA001,1,2016/02/02,126,B
+07DA001,1,2016/02/03,126,B
+07DA001,1,2016/02/04,126,B
+07DA001,1,2016/02/05,126,B
+07DA001,1,2016/02/06,128,B
+07DA001,1,2016/02/07,129,B
+07DA001,1,2016/02/08,128,B
+07DA001,1,2016/02/09,132,B
+07DA001,1,2016/02/10,134,B
+07DA001,1,2016/02/11,130,B
+07DA001,1,2016/02/12,126,B
+07DA001,1,2016/02/13,123,B
+07DA001,1,2016/02/14,124,B
+07DA001,1,2016/02/15,123,B
+07DA001,1,2016/02/16,119,B
+07DA001,1,2016/02/17,119,B
+07DA001,1,2016/02/18,124,B
+07DA001,1,2016/02/19,125,B
+07DA001,1,2016/02/20,124,B
+07DA001,1,2016/02/21,125,B
+07DA001,1,2016/02/22,125,B
+07DA001,1,2016/02/23,125,B
+07DA001,1,2016/02/24,127,B
+07DA001,1,2016/02/25,128,B
+07DA001,1,2016/02/26,129,B
+07DA001,1,2016/02/27,132,B
+07DA001,1,2016/02/28,133,B
+07DA001,1,2016/02/29,132,B
+07DA001,1,2016/03/01,132,B
+07DA001,1,2016/03/02,134,B
+07DA001,1,2016/03/03,134,B
+07DA001,1,2016/03/04,126,B
+07DA001,1,2016/03/05,130,B
+07DA001,1,2016/03/06,128,B
+07DA001,1,2016/03/07,128,B
+07DA001,1,2016/03/08,130,B
+07DA001,1,2016/03/09,134,B
+07DA001,1,2016/03/10,137,B
+07DA001,1,2016/03/11,138,B
+07DA001,1,2016/03/12,138,B
+07DA001,1,2016/03/13,138,B
+07DA001,1,2016/03/14,139,B
+07DA001,1,2016/03/15,141,B
+07DA001,1,2016/03/16,147,B
+07DA001,1,2016/03/17,151,B
+07DA001,1,2016/03/18,152,B
+07DA001,1,2016/03/19,151,B
+07DA001,1,2016/03/20,153,B
+07DA001,1,2016/03/21,153,B
+07DA001,1,2016/03/22,157,B
+07DA001,1,2016/03/23,161,B
+07DA001,1,2016/03/24,165,B
+07DA001,1,2016/03/25,167,B
+07DA001,1,2016/03/26,170,B
+07DA001,1,2016/03/27,175,B
+07DA001,1,2016/03/28,177,B
+07DA001,1,2016/03/29,180,B
+07DA001,1,2016/03/30,187,B
+07DA001,1,2016/03/31,191,B
+07DA001,1,2016/04/01,195,B
+07DA001,1,2016/04/02,203,B
+07DA001,1,2016/04/03,219,B
+07DA001,1,2016/04/04,253,B
+07DA001,1,2016/04/05,289,B
+07DA001,1,2016/04/06,314,B
+07DA001,1,2016/04/07,338,B
+07DA001,1,2016/04/08,363,B
+07DA001,1,2016/04/09,402,B
+07DA001,1,2016/04/10,423,B
+07DA001,1,2016/04/11,436,B
+07DA001,1,2016/04/12,438,B
+07DA001,1,2016/04/13,434,B
+07DA001,1,2016/04/14,426,B
+07DA001,1,2016/04/15,419,B
+07DA001,1,2016/04/16,415,B
+07DA001,1,2016/04/17,418,B
+07DA001,1,2016/04/18,430,B
+07DA001,1,2016/04/19,448,B
+07DA001,1,2016/04/20,466,B
+07DA001,1,2016/04/21,478,B
+07DA001,1,2016/04/22,481,B
+07DA001,1,2016/04/23,478,B
+07DA001,1,2016/04/24,474,B
+07DA001,1,2016/04/25,471,E
+07DA001,1,2016/04/26,474,A
+07DA001,1,2016/04/27,476,
+07DA001,1,2016/04/28,486,
+07DA001,1,2016/04/29,502,
+07DA001,1,2016/04/30,519,
+07DA001,1,2016/05/01,544,
+07DA001,1,2016/05/02,559,
+07DA001,1,2016/05/03,550,
+07DA001,1,2016/05/04,537,
+07DA001,1,2016/05/05,517,A
+07DA001,1,2016/05/06,494,E
+07DA001,1,2016/05/07,474,E
+07DA001,1,2016/05/08,471,E
+07DA001,1,2016/05/09,497,E
+07DA001,1,2016/05/10,534,E
+07DA001,1,2016/05/11,539,E
+07DA001,1,2016/05/12,506,E
+07DA001,1,2016/05/13,477,E
+07DA001,1,2016/05/14,493,E
+07DA001,1,2016/05/15,527,E
+07DA001,1,2016/05/16,531,E
+07DA001,1,2016/05/17,514,E
+07DA001,1,2016/05/18,492,A
+07DA001,1,2016/05/19,469,A
+07DA001,1,2016/05/20,442,
+07DA001,1,2016/05/21,419,
+07DA001,1,2016/05/22,411,
+07DA001,1,2016/05/23,410,
+07DA001,1,2016/05/24,478,
+07DA001,1,2016/05/25,729,
+07DA001,1,2016/05/26,901,
+07DA001,1,2016/05/27,1060,
+07DA001,1,2016/05/28,1180,
+07DA001,1,2016/05/29,1230,
+07DA001,1,2016/05/30,1220,
+07DA001,1,2016/05/31,1270,
+07DA001,1,2016/06/01,1400,
+07DA001,1,2016/06/02,1390,
+07DA001,1,2016/06/03,1290,
+07DA001,1,2016/06/04,1180,
+07DA001,1,2016/06/05,1080,
+07DA001,1,2016/06/06,995,
+07DA001,1,2016/06/07,933,
+07DA001,1,2016/06/08,893,
+07DA001,1,2016/06/09,924,
+07DA001,1,2016/06/10,983,
+07DA001,1,2016/06/11,1100,
+07DA001,1,2016/06/12,1250,
+07DA001,1,2016/06/13,1470,
+07DA001,1,2016/06/14,1710,
+07DA001,1,2016/06/15,1670,
+07DA001,1,2016/06/16,1570,
+07DA001,1,2016/06/17,1450,
+07DA001,1,2016/06/18,1350,
+07DA001,1,2016/06/19,1380,
+07DA001,1,2016/06/20,1510,
+07DA001,1,2016/06/21,1460,
+07DA001,1,2016/06/22,1350,
+07DA001,1,2016/06/23,1170,
+07DA001,1,2016/06/24,1040,
+07DA001,1,2016/06/25,968,
+07DA001,1,2016/06/26,914,
+07DA001,1,2016/06/27,907,
+07DA001,1,2016/06/28,907,
+07DA001,1,2016/06/29,909,
+07DA001,1,2016/06/30,914,
+07DA001,1,2016/07/01,907,
+07DA001,1,2016/07/02,867,
+07DA001,1,2016/07/03,854,
+07DA001,1,2016/07/04,867,
+07DA001,1,2016/07/05,940,
+07DA001,1,2016/07/06,1040,
+07DA001,1,2016/07/07,1110,
+07DA001,1,2016/07/08,1110,
+07DA001,1,2016/07/09,1090,
+07DA001,1,2016/07/10,1080,
+07DA001,1,2016/07/11,1010,
+07DA001,1,2016/07/12,933,
+07DA001,1,2016/07/13,889,
+07DA001,1,2016/07/14,872,
+07DA001,1,2016/07/15,878,
+07DA001,1,2016/07/16,893,
+07DA001,1,2016/07/17,918,
+07DA001,1,2016/07/18,972,
+07DA001,1,2016/07/19,1040,
+07DA001,1,2016/07/20,1140,
+07DA001,1,2016/07/21,1210,
+07DA001,1,2016/07/22,1150,
+07DA001,1,2016/07/23,1080,
+07DA001,1,2016/07/24,1030,
+07DA001,1,2016/07/25,993,
+07DA001,1,2016/07/26,934,
+07DA001,1,2016/07/27,884,
+07DA001,1,2016/07/28,841,
+07DA001,1,2016/07/29,795,
+07DA001,1,2016/07/30,758,
+07DA001,1,2016/07/31,769,
+07DA001,1,2016/08/01,764,
+07DA001,1,2016/08/02,742,
+07DA001,1,2016/08/03,736,
+07DA001,1,2016/08/04,738,
+07DA001,1,2016/08/05,747,
+07DA001,1,2016/08/06,758,
+07DA001,1,2016/08/07,737,
+07DA001,1,2016/08/08,710,
+07DA001,1,2016/08/09,716,
+07DA001,1,2016/08/10,729,
+07DA001,1,2016/08/11,706,
+07DA001,1,2016/08/12,749,
+07DA001,1,2016/08/13,798,
+07DA001,1,2016/08/14,817,
+07DA001,1,2016/08/15,835,
+07DA001,1,2016/08/16,836,
+07DA001,1,2016/08/17,795,
+07DA001,1,2016/08/18,748,
+07DA001,1,2016/08/19,699,
+07DA001,1,2016/08/20,680,
+07DA001,1,2016/08/21,681,
+07DA001,1,2016/08/22,667,
+07DA001,1,2016/08/23,653,
+07DA001,1,2016/08/24,655,
+07DA001,1,2016/08/25,661,
+07DA001,1,2016/08/26,664,
+07DA001,1,2016/08/27,831,
+07DA001,1,2016/08/28,1030,
+07DA001,1,2016/08/29,1120,
+07DA001,1,2016/08/30,1120,
+07DA001,1,2016/08/31,1080,
+07DA001,1,2016/09/01,1050,
+07DA001,1,2016/09/02,1020,
+07DA001,1,2016/09/03,1080,
+07DA001,1,2016/09/04,1170,
+07DA001,1,2016/09/05,1200,
+07DA001,1,2016/09/06,1210,
+07DA001,1,2016/09/07,1210,
+07DA001,1,2016/09/08,1200,
+07DA001,1,2016/09/09,1160,
+07DA001,1,2016/09/10,1150,
+07DA001,1,2016/09/11,1140,
+07DA001,1,2016/09/12,1100,
+07DA001,1,2016/09/13,1060,
+07DA001,1,2016/09/14,1010,
+07DA001,1,2016/09/15,966,
+07DA001,1,2016/09/16,922,
+07DA001,1,2016/09/17,885,
+07DA001,1,2016/09/18,867,
+07DA001,1,2016/09/19,831,
+07DA001,1,2016/09/20,792,
+07DA001,1,2016/09/21,757,
+07DA001,1,2016/09/22,731,
+07DA001,1,2016/09/23,710,
+07DA001,1,2016/09/24,701,
+07DA001,1,2016/09/25,706,
+07DA001,1,2016/09/26,691,
+07DA001,1,2016/09/27,659,
+07DA001,1,2016/09/28,634,
+07DA001,1,2016/09/29,609,
+07DA001,1,2016/09/30,584,
+07DA001,1,2016/10/01,568,
+07DA001,1,2016/10/02,583,
+07DA001,1,2016/10/03,596,
+07DA001,1,2016/10/04,607,
+07DA001,1,2016/10/05,640,
+07DA001,1,2016/10/06,662,
+07DA001,1,2016/10/07,663,
+07DA001,1,2016/10/08,683,
+07DA001,1,2016/10/09,696,
+07DA001,1,2016/10/10,684,
+07DA001,1,2016/10/11,660,
+07DA001,1,2016/10/12,636,
+07DA001,1,2016/10/13,615,
+07DA001,1,2016/10/14,601,
+07DA001,1,2016/10/15,590,
+07DA001,1,2016/10/16,580,
+07DA001,1,2016/10/17,572,
+07DA001,1,2016/10/18,559,
+07DA001,1,2016/10/19,552,
+07DA001,1,2016/10/20,539,
+07DA001,1,2016/10/21,544,
+07DA001,1,2016/10/22,546,
+07DA001,1,2016/10/23,548,
+07DA001,1,2016/10/24,545,
+07DA001,1,2016/10/25,550,
+07DA001,1,2016/10/26,560,
+07DA001,1,2016/10/27,574,
+07DA001,1,2016/10/28,585,
+07DA001,1,2016/10/29,591,
+07DA001,1,2016/10/30,601,
+07DA001,1,2016/10/31,599,
+07DA001,1,2016/11/01,599,B
+07DA001,1,2016/11/02,584,B
+07DA001,1,2016/11/03,555,B
+07DA001,1,2016/11/04,558,B
+07DA001,1,2016/11/05,562,
+07DA001,1,2016/11/06,553,
+07DA001,1,2016/11/07,536,
+07DA001,1,2016/11/08,520,
+07DA001,1,2016/11/09,511,
+07DA001,1,2016/11/10,503,
+07DA001,1,2016/11/11,496,
+07DA001,1,2016/11/12,505,
+07DA001,1,2016/11/13,505,
+07DA001,1,2016/11/14,513,
+07DA001,1,2016/11/15,505,B
+07DA001,1,2016/11/16,470,B
+07DA001,1,2016/11/17,460,B
+07DA001,1,2016/11/18,467,B
+07DA001,1,2016/11/19,428,B
+07DA001,1,2016/11/20,361,B
+07DA001,1,2016/11/21,312,B
+07DA001,1,2016/11/22,301,B
+07DA001,1,2016/11/23,295,B
+07DA001,1,2016/11/24,281,B
+07DA001,1,2016/11/25,286,B
+07DA001,1,2016/11/26,332,B
+07DA001,1,2016/11/27,356,B
+07DA001,1,2016/11/28,355,B
+07DA001,1,2016/11/29,341,B
+07DA001,1,2016/11/30,324,B
+07DA001,1,2016/12/01,314,B
+07DA001,1,2016/12/02,307,B
+07DA001,1,2016/12/03,291,B
+07DA001,1,2016/12/04,253,B
+07DA001,1,2016/12/05,179,B
+07DA001,1,2016/12/06,136,B
+07DA001,1,2016/12/07,133,B
+07DA001,1,2016/12/08,141,B
+07DA001,1,2016/12/09,132,B
+07DA001,1,2016/12/10,145,B
+07DA001,1,2016/12/11,158,B
+07DA001,1,2016/12/12,141,B
+07DA001,1,2016/12/13,126,B
+07DA001,1,2016/12/14,122,B
+07DA001,1,2016/12/15,118,B
+07DA001,1,2016/12/16,116,B
+07DA001,1,2016/12/17,117,B
+07DA001,1,2016/12/18,122,B
+07DA001,1,2016/12/19,131,B
+07DA001,1,2016/12/20,141,B
+07DA001,1,2016/12/21,151,B
+07DA001,1,2016/12/22,157,B
+07DA001,1,2016/12/23,158,B
+07DA001,1,2016/12/24,155,B
+07DA001,1,2016/12/25,151,B
+07DA001,1,2016/12/26,149,B
+07DA001,1,2016/12/27,147,B
+07DA001,1,2016/12/28,147,B
+07DA001,1,2016/12/29,148,B
+07DA001,1,2016/12/30,148,B
+07DA001,1,2016/12/31,149,B
+07DA001,1,2017/01/01,150,B
+07DA001,1,2017/01/02,150,B
+07DA001,1,2017/01/03,150,B
+07DA001,1,2017/01/04,150,B
+07DA001,1,2017/01/05,150,B
+07DA001,1,2017/01/06,152,B
+07DA001,1,2017/01/07,154,B
+07DA001,1,2017/01/08,158,B
+07DA001,1,2017/01/09,164,B
+07DA001,1,2017/01/10,171,B
+07DA001,1,2017/01/11,178,B
+07DA001,1,2017/01/12,186,B
+07DA001,1,2017/01/13,192,B
+07DA001,1,2017/01/14,196,B
+07DA001,1,2017/01/15,198,B
+07DA001,1,2017/01/16,198,B
+07DA001,1,2017/01/17,196,B
+07DA001,1,2017/01/18,193,B
+07DA001,1,2017/01/19,190,B
+07DA001,1,2017/01/20,188,B
+07DA001,1,2017/01/21,185,B
+07DA001,1,2017/01/22,182,B
+07DA001,1,2017/01/23,180,B
+07DA001,1,2017/01/24,179,B
+07DA001,1,2017/01/25,178,B
+07DA001,1,2017/01/26,179,B
+07DA001,1,2017/01/27,182,B
+07DA001,1,2017/01/28,185,B
+07DA001,1,2017/01/29,187,B
+07DA001,1,2017/01/30,187,B
+07DA001,1,2017/01/31,186,B
+07DA001,1,2017/02/01,185,B
+07DA001,1,2017/02/02,184,B
+07DA001,1,2017/02/03,183,B
+07DA001,1,2017/02/04,182,B
+07DA001,1,2017/02/05,181,B
+07DA001,1,2017/02/06,180,B
+07DA001,1,2017/02/07,180,B
+07DA001,1,2017/02/08,179,B
+07DA001,1,2017/02/09,178,B
+07DA001,1,2017/02/10,178,B
+07DA001,1,2017/02/11,179,B
+07DA001,1,2017/02/12,176,B
+07DA001,1,2017/02/13,173,B
+07DA001,1,2017/02/14,171,B
+07DA001,1,2017/02/15,170,B
+07DA001,1,2017/02/16,169,B
+07DA001,1,2017/02/17,167,B
+07DA001,1,2017/02/18,167,B
+07DA001,1,2017/02/19,167,B
+07DA001,1,2017/02/20,169,B
+07DA001,1,2017/02/21,171,B
+07DA001,1,2017/02/22,174,B
+07DA001,1,2017/02/23,176,B
+07DA001,1,2017/02/24,178,B
+07DA001,1,2017/02/25,180,B
+07DA001,1,2017/02/26,181,B
+07DA001,1,2017/02/27,180,B
+07DA001,1,2017/02/28,179,B
+07DA001,1,2017/03/01,178,B
+07DA001,1,2017/03/02,175,B
+07DA001,1,2017/03/03,173,B
+07DA001,1,2017/03/04,171,B
+07DA001,1,2017/03/05,168,B
+07DA001,1,2017/03/06,166,B
+07DA001,1,2017/03/07,164,B
+07DA001,1,2017/03/08,163,B
+07DA001,1,2017/03/09,163,B
+07DA001,1,2017/03/10,163,B
+07DA001,1,2017/03/11,164,B
+07DA001,1,2017/03/12,165,B
+07DA001,1,2017/03/13,165,B
+07DA001,1,2017/03/14,164,B
+07DA001,1,2017/03/15,162,B
+07DA001,1,2017/03/16,160,B
+07DA001,1,2017/03/17,159,B
+07DA001,1,2017/03/18,160,B
+07DA001,1,2017/03/19,160,B
+07DA001,1,2017/03/20,158,B
+07DA001,1,2017/03/21,159,B
+07DA001,1,2017/03/22,162,B
+07DA001,1,2017/03/23,163,B
+07DA001,1,2017/03/24,165,B
+07DA001,1,2017/03/25,168,B
+07DA001,1,2017/03/26,170,B
+07DA001,1,2017/03/27,170,B
+07DA001,1,2017/03/28,169,B
+07DA001,1,2017/03/29,171,B
+07DA001,1,2017/03/30,173,B
+07DA001,1,2017/03/31,175,B
+07DA001,1,2017/04/01,186,B
+07DA001,1,2017/04/02,198,B
+07DA001,1,2017/04/03,212,B
+07DA001,1,2017/04/04,212,B
+07DA001,1,2017/04/05,211,B
+07DA001,1,2017/04/06,237,B
+07DA001,1,2017/04/07,268,B
+07DA001,1,2017/04/08,319,B
+07DA001,1,2017/04/09,360,B
+07DA001,1,2017/04/10,379,B
+07DA001,1,2017/04/11,411,B
+07DA001,1,2017/04/12,428,B
+07DA001,1,2017/04/13,443,B
+07DA001,1,2017/04/14,471,B
+07DA001,1,2017/04/15,485,B
+07DA001,1,2017/04/16,518,B
+07DA001,1,2017/04/17,525,B
+07DA001,1,2017/04/18,549,B
+07DA001,1,2017/04/19,564,B
+07DA001,1,2017/04/20,576,B
+07DA001,1,2017/04/21,598,B
+07DA001,1,2017/04/22,612,B
+07DA001,1,2017/04/23,635,B
+07DA001,1,2017/04/24,683,B
+07DA001,1,2017/04/25,767,B
+07DA001,1,2017/04/26,889,B
+07DA001,1,2017/04/27,978,B
+07DA001,1,2017/04/28,974,B
+07DA001,1,2017/04/29,970,B
+07DA001,1,2017/04/30,988,B
+07DA001,1,2017/05/01,1030,
+07DA001,1,2017/05/02,1040,
+07DA001,1,2017/05/03,1070,
+07DA001,1,2017/05/04,1160,
+07DA001,1,2017/05/05,1250,
+07DA001,1,2017/05/06,1300,
+07DA001,1,2017/05/07,1320,
+07DA001,1,2017/05/08,1350,
+07DA001,1,2017/05/09,1420,
+07DA001,1,2017/05/10,1580,
+07DA001,1,2017/05/11,1670,
+07DA001,1,2017/05/12,1590,
+07DA001,1,2017/05/13,1510,
+07DA001,1,2017/05/14,1470,
+07DA001,1,2017/05/15,1490,
+07DA001,1,2017/05/16,1600,
+07DA001,1,2017/05/17,2090,
+07DA001,1,2017/05/18,2230,
+07DA001,1,2017/05/19,2070,
+07DA001,1,2017/05/20,1930,
+07DA001,1,2017/05/21,1800,
+07DA001,1,2017/05/22,1690,
+07DA001,1,2017/05/23,1590,
+07DA001,1,2017/05/24,1490,
+07DA001,1,2017/05/25,1400,
+07DA001,1,2017/05/26,1340,
+07DA001,1,2017/05/27,1330,
+07DA001,1,2017/05/28,1520,
+07DA001,1,2017/05/29,1890,
+07DA001,1,2017/05/30,1860,
+07DA001,1,2017/05/31,1720,
+07DA001,1,2017/06/01,1640,
+07DA001,1,2017/06/02,1650,
+07DA001,1,2017/06/03,1690,
+07DA001,1,2017/06/04,1750,A
+07DA001,1,2017/06/05,1790,A
+07DA001,1,2017/06/06,1800,A
+07DA001,1,2017/06/07,1760,
+07DA001,1,2017/06/08,1670,
+07DA001,1,2017/06/09,1560,
+07DA001,1,2017/06/10,1450,
+07DA001,1,2017/06/11,1380,
+07DA001,1,2017/06/12,1320,
+07DA001,1,2017/06/13,1500,
+07DA001,1,2017/06/14,2270,
+07DA001,1,2017/06/15,2370,
+07DA001,1,2017/06/16,2110,
+07DA001,1,2017/06/17,1960,
+07DA001,1,2017/06/18,1850,
+07DA001,1,2017/06/19,1760,
+07DA001,1,2017/06/20,1650,
+07DA001,1,2017/06/21,1530,
+07DA001,1,2017/06/22,1430,
+07DA001,1,2017/06/23,1340,
+07DA001,1,2017/06/24,1260,
+07DA001,1,2017/06/25,1200,
+07DA001,1,2017/06/26,1200,
+07DA001,1,2017/06/27,1200,
+07DA001,1,2017/06/28,1130,
+07DA001,1,2017/06/29,1050,
+07DA001,1,2017/06/30,1030,
+07DA001,1,2017/07/01,1050,
+07DA001,1,2017/07/02,1170,
+07DA001,1,2017/07/03,1290,
+07DA001,1,2017/07/04,1250,
+07DA001,1,2017/07/05,1220,
+07DA001,1,2017/07/06,1200,
+07DA001,1,2017/07/07,1250,
+07DA001,1,2017/07/08,1290,
+07DA001,1,2017/07/09,1240,
+07DA001,1,2017/07/10,1140,
+07DA001,1,2017/07/11,1070,
+07DA001,1,2017/07/12,1030,
+07DA001,1,2017/07/13,1010,
+07DA001,1,2017/07/14,1010,
+07DA001,1,2017/07/15,1000,
+07DA001,1,2017/07/16,986,
+07DA001,1,2017/07/17,981,
+07DA001,1,2017/07/18,973,
+07DA001,1,2017/07/19,955,
+07DA001,1,2017/07/20,927,
+07DA001,1,2017/07/21,892,
+07DA001,1,2017/07/22,877,
+07DA001,1,2017/07/23,855,
+07DA001,1,2017/07/24,814,
+07DA001,1,2017/07/25,820,
+07DA001,1,2017/07/26,1010,
+07DA001,1,2017/07/27,1100,
+07DA001,1,2017/07/28,1130,
+07DA001,1,2017/07/29,1140,
+07DA001,1,2017/07/30,1140,
+07DA001,1,2017/07/31,1060,
+07DA001,1,2017/08/01,995,
+07DA001,1,2017/08/02,954,
+07DA001,1,2017/08/03,926,
+07DA001,1,2017/08/04,924,
+07DA001,1,2017/08/05,922,
+07DA001,1,2017/08/06,893,
+07DA001,1,2017/08/07,868,
+07DA001,1,2017/08/08,858,
+07DA001,1,2017/08/09,849,
+07DA001,1,2017/08/10,849,
+07DA001,1,2017/08/11,857,
+07DA001,1,2017/08/12,870,
+07DA001,1,2017/08/13,872,
+07DA001,1,2017/08/14,840,
+07DA001,1,2017/08/15,807,
+07DA001,1,2017/08/16,779,
+07DA001,1,2017/08/17,761,
+07DA001,1,2017/08/18,742,
+07DA001,1,2017/08/19,730,
+07DA001,1,2017/08/20,720,
+07DA001,1,2017/08/21,701,
+07DA001,1,2017/08/22,661,
+07DA001,1,2017/08/23,629,
+07DA001,1,2017/08/24,610,
+07DA001,1,2017/08/25,602,
+07DA001,1,2017/08/26,612,
+07DA001,1,2017/08/27,597,
+07DA001,1,2017/08/28,562,
+07DA001,1,2017/08/29,539,
+07DA001,1,2017/08/30,531,
+07DA001,1,2017/08/31,542,
+07DA001,1,2017/09/01,536,
+07DA001,1,2017/09/02,505,
+07DA001,1,2017/09/03,473,
+07DA001,1,2017/09/04,468,
+07DA001,1,2017/09/05,483,
+07DA001,1,2017/09/06,488,
+07DA001,1,2017/09/07,484,
+07DA001,1,2017/09/08,471,
+07DA001,1,2017/09/09,451,
+07DA001,1,2017/09/10,451,
+07DA001,1,2017/09/11,469,
+07DA001,1,2017/09/12,458,
+07DA001,1,2017/09/13,440,
+07DA001,1,2017/09/14,438,
+07DA001,1,2017/09/15,451,
+07DA001,1,2017/09/16,484,
+07DA001,1,2017/09/17,530,
+07DA001,1,2017/09/18,505,
+07DA001,1,2017/09/19,491,
+07DA001,1,2017/09/20,541,
+07DA001,1,2017/09/21,537,
+07DA001,1,2017/09/22,513,
+07DA001,1,2017/09/23,514,
+07DA001,1,2017/09/24,523,
+07DA001,1,2017/09/25,592,
+07DA001,1,2017/09/26,789,
+07DA001,1,2017/09/27,818,
+07DA001,1,2017/09/28,798,
+07DA001,1,2017/09/29,766,
+07DA001,1,2017/09/30,743,
+07DA001,1,2017/10/01,732,
+07DA001,1,2017/10/02,729,
+07DA001,1,2017/10/03,717,
+07DA001,1,2017/10/04,713,
+07DA001,1,2017/10/05,696,
+07DA001,1,2017/10/06,680,
+07DA001,1,2017/10/07,669,
+07DA001,1,2017/10/08,653,
+07DA001,1,2017/10/09,626,
+07DA001,1,2017/10/10,599,
+07DA001,1,2017/10/11,581,
+07DA001,1,2017/10/12,574,
+07DA001,1,2017/10/13,566,
+07DA001,1,2017/10/14,564,
+07DA001,1,2017/10/15,562,
+07DA001,1,2017/10/16,558,
+07DA001,1,2017/10/17,564,
+07DA001,1,2017/10/18,590,
+07DA001,1,2017/10/19,610,
+07DA001,1,2017/10/20,625,
+07DA001,1,2017/10/21,630,
+07DA001,1,2017/10/22,637,
+07DA001,1,2017/10/23,643,
+07DA001,1,2017/10/24,674,
+07DA001,1,2017/10/25,732,
+07DA001,1,2017/10/26,721,
+07DA001,1,2017/10/27,700,
+07DA001,1,2017/10/28,683,
+07DA001,1,2017/10/29,665,
+07DA001,1,2017/10/30,660,
+07DA001,1,2017/10/31,657,
+07DA001,1,2017/11/01,658,B
+07DA001,1,2017/11/02,653,B
+07DA001,1,2017/11/03,609,B
+07DA001,1,2017/11/04,574,B
+07DA001,1,2017/11/05,583,B
+07DA001,1,2017/11/06,517,B
+07DA001,1,2017/11/07,421,B
+07DA001,1,2017/11/08,364,B
+07DA001,1,2017/11/09,367,B
+07DA001,1,2017/11/10,342,B
+07DA001,1,2017/11/11,264,B
+07DA001,1,2017/11/12,221,B
+07DA001,1,2017/11/13,251,B
+07DA001,1,2017/11/14,300,B
+07DA001,1,2017/11/15,301,B
+07DA001,1,2017/11/16,259,B
+07DA001,1,2017/11/17,214,B
+07DA001,1,2017/11/18,216,B
+07DA001,1,2017/11/19,246,B
+07DA001,1,2017/11/20,274,B
+07DA001,1,2017/11/21,290,B
+07DA001,1,2017/11/22,288,B
+07DA001,1,2017/11/23,284,B
+07DA001,1,2017/11/24,301,B
+07DA001,1,2017/11/25,323,B
+07DA001,1,2017/11/26,320,B
+07DA001,1,2017/11/27,306,B
+07DA001,1,2017/11/28,306,B
+07DA001,1,2017/11/29,310,B
+07DA001,1,2017/11/30,304,B
+07DA001,1,2017/12/01,305,B
+07DA001,1,2017/12/02,318,B
+07DA001,1,2017/12/03,317,B
+07DA001,1,2017/12/04,309,B
+07DA001,1,2017/12/05,316,B
+07DA001,1,2017/12/06,316,B
+07DA001,1,2017/12/07,309,B
+07DA001,1,2017/12/08,318,B
+07DA001,1,2017/12/09,330,B
+07DA001,1,2017/12/10,332,B
+07DA001,1,2017/12/11,329,B
+07DA001,1,2017/12/12,324,B
+07DA001,1,2017/12/13,327,B
+07DA001,1,2017/12/14,332,B
+07DA001,1,2017/12/15,324,B
+07DA001,1,2017/12/16,315,B
+07DA001,1,2017/12/17,302,B
+07DA001,1,2017/12/18,291,B
+07DA001,1,2017/12/19,279,B
+07DA001,1,2017/12/20,257,B
+07DA001,1,2017/12/21,257,B
+07DA001,1,2017/12/22,267,B
+07DA001,1,2017/12/23,277,B
+07DA001,1,2017/12/24,280,B
+07DA001,1,2017/12/25,275,B
+07DA001,1,2017/12/26,266,B
+07DA001,1,2017/12/27,256,B
+07DA001,1,2017/12/28,245,B
+07DA001,1,2017/12/29,237,B
+07DA001,1,2017/12/30,226,B
+07DA001,1,2017/12/31,214,B
+07DA001,1,2018/01/01,207,B
+07DA001,1,2018/01/02,203,B
+07DA001,1,2018/01/03,201,B
+07DA001,1,2018/01/04,200,B
+07DA001,1,2018/01/05,199,B
+07DA001,1,2018/01/06,196,B
+07DA001,1,2018/01/07,194,B
+07DA001,1,2018/01/08,184,B
+07DA001,1,2018/01/09,178,B
+07DA001,1,2018/01/10,178,B
+07DA001,1,2018/01/11,180,B
+07DA001,1,2018/01/12,185,B
+07DA001,1,2018/01/13,192,B
+07DA001,1,2018/01/14,195,B
+07DA001,1,2018/01/15,197,B
+07DA001,1,2018/01/16,199,B
+07DA001,1,2018/01/17,203,B
+07DA001,1,2018/01/18,210,B
+07DA001,1,2018/01/19,219,B
+07DA001,1,2018/01/20,223,B
+07DA001,1,2018/01/21,219,B
+07DA001,1,2018/01/22,214,B
+07DA001,1,2018/01/23,210,B
+07DA001,1,2018/01/24,208,B
+07DA001,1,2018/01/25,207,B
+07DA001,1,2018/01/26,207,B
+07DA001,1,2018/01/27,206,B
+07DA001,1,2018/01/28,206,B
+07DA001,1,2018/01/29,205,B
+07DA001,1,2018/01/30,204,B
+07DA001,1,2018/01/31,203,B
+07DA001,1,2018/02/01,202,B
+07DA001,1,2018/02/02,201,B
+07DA001,1,2018/02/03,199,B
+07DA001,1,2018/02/04,198,B
+07DA001,1,2018/02/05,197,B
+07DA001,1,2018/02/06,195,B
+07DA001,1,2018/02/07,194,B
+07DA001,1,2018/02/08,193,B
+07DA001,1,2018/02/09,192,B
+07DA001,1,2018/02/10,192,B
+07DA001,1,2018/02/11,191,B
+07DA001,1,2018/02/12,190,B
+07DA001,1,2018/02/13,189,B
+07DA001,1,2018/02/14,188,B
+07DA001,1,2018/02/15,188,B
+07DA001,1,2018/02/16,187,B
+07DA001,1,2018/02/17,187,B
+07DA001,1,2018/02/18,186,B
+07DA001,1,2018/02/19,186,B
+07DA001,1,2018/02/20,185,B
+07DA001,1,2018/02/21,185,B
+07DA001,1,2018/02/22,184,B
+07DA001,1,2018/02/23,184,B
+07DA001,1,2018/02/24,184,B
+07DA001,1,2018/02/25,184,B
+07DA001,1,2018/02/26,183,B
+07DA001,1,2018/02/27,183,B
+07DA001,1,2018/02/28,183,B
+07DA001,1,2018/03/01,183,B
+07DA001,1,2018/03/02,183,B
+07DA001,1,2018/03/03,183,B
+07DA001,1,2018/03/04,183,B
+07DA001,1,2018/03/05,183,B
+07DA001,1,2018/03/06,183,B
+07DA001,1,2018/03/07,183,B
+07DA001,1,2018/03/08,183,B
+07DA001,1,2018/03/09,183,B
+07DA001,1,2018/03/10,183,B
+07DA001,1,2018/03/11,183,B
+07DA001,1,2018/03/12,183,B
+07DA001,1,2018/03/13,183,B
+07DA001,1,2018/03/14,183,B
+07DA001,1,2018/03/15,183,B
+07DA001,1,2018/03/16,183,B
+07DA001,1,2018/03/17,183,B
+07DA001,1,2018/03/18,183,B
+07DA001,1,2018/03/19,183,B
+07DA001,1,2018/03/20,183,B
+07DA001,1,2018/03/21,183,B
+07DA001,1,2018/03/22,183,B
+07DA001,1,2018/03/23,183,B
+07DA001,1,2018/03/24,183,B
+07DA001,1,2018/03/25,183,B
+07DA001,1,2018/03/26,183,B
+07DA001,1,2018/03/27,183,B
+07DA001,1,2018/03/28,183,B
+07DA001,1,2018/03/29,183,B
+07DA001,1,2018/03/30,183,B
+07DA001,1,2018/03/31,183,B
+07DA001,1,2018/04/01,183,B
+07DA001,1,2018/04/02,183,B
+07DA001,1,2018/04/03,183,B
+07DA001,1,2018/04/04,184,B
+07DA001,1,2018/04/05,184,B
+07DA001,1,2018/04/06,184,B
+07DA001,1,2018/04/07,185,B
+07DA001,1,2018/04/08,185,B
+07DA001,1,2018/04/09,186,B
+07DA001,1,2018/04/10,186,B
+07DA001,1,2018/04/11,186,B
+07DA001,1,2018/04/12,187,B
+07DA001,1,2018/04/13,188,B
+07DA001,1,2018/04/14,191,B
+07DA001,1,2018/04/15,192,B
+07DA001,1,2018/04/16,193,B
+07DA001,1,2018/04/17,203,B
+07DA001,1,2018/04/18,220,B
+07DA001,1,2018/04/19,234,B
+07DA001,1,2018/04/20,243,B
+07DA001,1,2018/04/21,255,B
+07DA001,1,2018/04/22,277,B
+07DA001,1,2018/04/23,317,B
+07DA001,1,2018/04/24,376,B
+07DA001,1,2018/04/25,455,B
+07DA001,1,2018/04/26,555,B
+07DA001,1,2018/04/27,679,B
+07DA001,1,2018/04/28,837,B
+07DA001,1,2018/04/29,1040,B
+07DA001,1,2018/04/30,1360,B
+07DA001,1,2018/05/01,1810,B
+07DA001,1,2018/05/02,2350,B
+07DA001,1,2018/05/03,2580,
+07DA001,1,2018/05/04,2340,
+07DA001,1,2018/05/05,2080,
+07DA001,1,2018/05/06,1930,
+07DA001,1,2018/05/07,1820,
+07DA001,1,2018/05/08,1720,
+07DA001,1,2018/05/09,1640,A
+07DA001,1,2018/05/10,1560,
+07DA001,1,2018/05/11,1490,
+07DA001,1,2018/05/12,1450,
+07DA001,1,2018/05/13,1410,
+07DA001,1,2018/05/14,1380,
+07DA001,1,2018/05/15,1380,
+07DA001,1,2018/05/16,1350,
+07DA001,1,2018/05/17,1320,
+07DA001,1,2018/05/18,1290,
+07DA001,1,2018/05/19,1300,
+07DA001,1,2018/05/20,1330,
+07DA001,1,2018/05/21,1390,
+07DA001,1,2018/05/22,1420,
+07DA001,1,2018/05/23,1390,
+07DA001,1,2018/05/24,1330,
+07DA001,1,2018/05/25,1320,
+07DA001,1,2018/05/26,1320,
+07DA001,1,2018/05/27,1300,
+07DA001,1,2018/05/28,1290,
+07DA001,1,2018/05/29,1300,
+07DA001,1,2018/05/30,1330,
+07DA001,1,2018/05/31,1320,
+07DA001,1,2018/06/01,1270,
+07DA001,1,2018/06/02,1200,
+07DA001,1,2018/06/03,1160,
+07DA001,1,2018/06/04,1130,
+07DA001,1,2018/06/05,1070,
+07DA001,1,2018/06/06,1000,
+07DA001,1,2018/06/07,947,
+07DA001,1,2018/06/08,902,
+07DA001,1,2018/06/09,866,
+07DA001,1,2018/06/10,850,
+07DA001,1,2018/06/11,896,
+07DA001,1,2018/06/12,936,
+07DA001,1,2018/06/13,978,
+07DA001,1,2018/06/14,1100,
+07DA001,1,2018/06/15,1520,
+07DA001,1,2018/06/16,1730,
+07DA001,1,2018/06/17,1630,
+07DA001,1,2018/06/18,1460,
+07DA001,1,2018/06/19,1370,A
+07DA001,1,2018/06/20,1290,
+07DA001,1,2018/06/21,1230,
+07DA001,1,2018/06/22,1180,
+07DA001,1,2018/06/23,1140,
+07DA001,1,2018/06/24,1120,A
+07DA001,1,2018/06/25,1130,
+07DA001,1,2018/06/26,1180,
+07DA001,1,2018/06/27,1240,
+07DA001,1,2018/06/28,1330,
+07DA001,1,2018/06/29,1370,
+07DA001,1,2018/06/30,1350,
+07DA001,1,2018/07/01,1340,
+07DA001,1,2018/07/02,1300,
+07DA001,1,2018/07/03,1270,
+07DA001,1,2018/07/04,1270,
+07DA001,1,2018/07/05,1250,
+07DA001,1,2018/07/06,1230,
+07DA001,1,2018/07/07,1290,
+07DA001,1,2018/07/08,1580,
+07DA001,1,2018/07/09,1960,
+07DA001,1,2018/07/10,1830,
+07DA001,1,2018/07/11,1760,
+07DA001,1,2018/07/12,1650,
+07DA001,1,2018/07/13,1510,
+07DA001,1,2018/07/14,1370,
+07DA001,1,2018/07/15,1260,
+07DA001,1,2018/07/16,1190,
+07DA001,1,2018/07/17,1130,
+07DA001,1,2018/07/18,1080,
+07DA001,1,2018/07/19,1060,
+07DA001,1,2018/07/20,1080,
+07DA001,1,2018/07/21,1090,
+07DA001,1,2018/07/22,1140,
+07DA001,1,2018/07/23,1160,
+07DA001,1,2018/07/24,1240,
+07DA001,1,2018/07/25,1420,
+07DA001,1,2018/07/26,1580,
+07DA001,1,2018/07/27,1580,
+07DA001,1,2018/07/28,1540,
+07DA001,1,2018/07/29,1460,
+07DA001,1,2018/07/30,1360,
+07DA001,1,2018/07/31,1270,
+07DA001,1,2018/08/01,1200,
+07DA001,1,2018/08/02,1150,
+07DA001,1,2018/08/03,1110,
+07DA001,1,2018/08/04,1090,
+07DA001,1,2018/08/05,1100,
+07DA001,1,2018/08/06,1120,
+07DA001,1,2018/08/07,1150,
+07DA001,1,2018/08/08,1140,
+07DA001,1,2018/08/09,1080,
+07DA001,1,2018/08/10,1010,
+07DA001,1,2018/08/11,939,
+07DA001,1,2018/08/12,883,
+07DA001,1,2018/08/13,854,
+07DA001,1,2018/08/14,840,
+07DA001,1,2018/08/15,821,
+07DA001,1,2018/08/16,815,
+07DA001,1,2018/08/17,831,
+07DA001,1,2018/08/18,849,
+07DA001,1,2018/08/19,844,
+07DA001,1,2018/08/20,803,
+07DA001,1,2018/08/21,757,
+07DA001,1,2018/08/22,724,
+07DA001,1,2018/08/23,710,
+07DA001,1,2018/08/24,698,
+07DA001,1,2018/08/25,677,
+07DA001,1,2018/08/26,646,
+07DA001,1,2018/08/27,625,
+07DA001,1,2018/08/28,614,
+07DA001,1,2018/08/29,613,
+07DA001,1,2018/08/30,640,
+07DA001,1,2018/08/31,658,
+07DA001,1,2018/09/01,648,
+07DA001,1,2018/09/02,630,
+07DA001,1,2018/09/03,639,
+07DA001,1,2018/09/04,630,
+07DA001,1,2018/09/05,629,
+07DA001,1,2018/09/06,644,
+07DA001,1,2018/09/07,628,
+07DA001,1,2018/09/08,616,
+07DA001,1,2018/09/09,625,
+07DA001,1,2018/09/10,607,
+07DA001,1,2018/09/11,608,
+07DA001,1,2018/09/12,605,
+07DA001,1,2018/09/13,598,
+07DA001,1,2018/09/14,588,
+07DA001,1,2018/09/15,589,
+07DA001,1,2018/09/16,606,
+07DA001,1,2018/09/17,612,
+07DA001,1,2018/09/18,610,
+07DA001,1,2018/09/19,603,
+07DA001,1,2018/09/20,606,
+07DA001,1,2018/09/21,591,A
+07DA001,1,2018/09/22,564,
+07DA001,1,2018/09/23,555,
+07DA001,1,2018/09/24,554,
+07DA001,1,2018/09/25,558,
+07DA001,1,2018/09/26,565,
+07DA001,1,2018/09/27,566,
+07DA001,1,2018/09/28,570,
+07DA001,1,2018/09/29,574,
+07DA001,1,2018/09/30,577,
+07DA001,1,2018/10/01,590,
+07DA001,1,2018/10/02,607,
+07DA001,1,2018/10/03,634,
+07DA001,1,2018/10/04,670,
+07DA001,1,2018/10/05,665,
+07DA001,1,2018/10/06,644,
+07DA001,1,2018/10/07,626,
+07DA001,1,2018/10/08,600,
+07DA001,1,2018/10/09,576,A
+07DA001,1,2018/10/10,562,
+07DA001,1,2018/10/11,557,
+07DA001,1,2018/10/12,551,
+07DA001,1,2018/10/13,533,
+07DA001,1,2018/10/14,516,
+07DA001,1,2018/10/15,522,
+07DA001,1,2018/10/16,517,
+07DA001,1,2018/10/17,519,
+07DA001,1,2018/10/18,512,
+07DA001,1,2018/10/19,507,
+07DA001,1,2018/10/20,506,
+07DA001,1,2018/10/21,508,
+07DA001,1,2018/10/22,499,
+07DA001,1,2018/10/23,499,
+07DA001,1,2018/10/24,497,
+07DA001,1,2018/10/25,495,
+07DA001,1,2018/10/26,493,
+07DA001,1,2018/10/27,488,
+07DA001,1,2018/10/28,478,
+07DA001,1,2018/10/29,472,
+07DA001,1,2018/10/30,469,
+07DA001,1,2018/10/31,473,
+07DA001,1,2018/11/01,472,
+07DA001,1,2018/11/02,458,
+07DA001,1,2018/11/03,456,
+07DA001,1,2018/11/04,452,B
+07DA001,1,2018/11/05,428,B
+07DA001,1,2018/11/06,390,B
+07DA001,1,2018/11/07,355,B
+07DA001,1,2018/11/08,337,B
+07DA001,1,2018/11/09,329,B
+07DA001,1,2018/11/10,323,B
+07DA001,1,2018/11/11,311,B
+07DA001,1,2018/11/12,298,B
+07DA001,1,2018/11/13,284,B
+07DA001,1,2018/11/14,274,B
+07DA001,1,2018/11/15,265,B
+07DA001,1,2018/11/16,258,B
+07DA001,1,2018/11/17,253,B
+07DA001,1,2018/11/18,248,B
+07DA001,1,2018/11/19,245,B
+07DA001,1,2018/11/20,241,B
+07DA001,1,2018/11/21,238,B
+07DA001,1,2018/11/22,236,B
+07DA001,1,2018/11/23,234,B
+07DA001,1,2018/11/24,232,B
+07DA001,1,2018/11/25,230,B
+07DA001,1,2018/11/26,228,B
+07DA001,1,2018/11/27,227,B
+07DA001,1,2018/11/28,225,B
+07DA001,1,2018/11/29,224,B
+07DA001,1,2018/11/30,223,B
+07DA001,1,2018/12/01,222,B
+07DA001,1,2018/12/02,221,B
+07DA001,1,2018/12/03,220,B
+07DA001,1,2018/12/04,219,B
+07DA001,1,2018/12/05,218,B
+07DA001,1,2018/12/06,216,B
+07DA001,1,2018/12/07,215,B
+07DA001,1,2018/12/08,214,B
+07DA001,1,2018/12/09,213,B
+07DA001,1,2018/12/10,212,B
+07DA001,1,2018/12/11,212,B
+07DA001,1,2018/12/12,212,B
+07DA001,1,2018/12/13,211,B
+07DA001,1,2018/12/14,211,B
+07DA001,1,2018/12/15,211,B
+07DA001,1,2018/12/16,211,B
+07DA001,1,2018/12/17,210,B
+07DA001,1,2018/12/18,210,B
+07DA001,1,2018/12/19,210,B
+07DA001,1,2018/12/20,210,B
+07DA001,1,2018/12/21,209,B
+07DA001,1,2018/12/22,209,B
+07DA001,1,2018/12/23,210,B
+07DA001,1,2018/12/24,210,B
+07DA001,1,2018/12/25,210,B
+07DA001,1,2018/12/26,211,B
+07DA001,1,2018/12/27,211,B
+07DA001,1,2018/12/28,211,B
+07DA001,1,2018/12/29,212,B
+07DA001,1,2018/12/30,212,B
+07DA001,1,2018/12/31,212,B
+07DA001,1,2019/01/01,213,B
+07DA001,1,2019/01/02,213,B
+07DA001,1,2019/01/03,213,B
+07DA001,1,2019/01/04,214,B
+07DA001,1,2019/01/05,214,B
+07DA001,1,2019/01/06,214,B
+07DA001,1,2019/01/07,215,B
+07DA001,1,2019/01/08,215,B
+07DA001,1,2019/01/09,215,B
+07DA001,1,2019/01/10,216,B
+07DA001,1,2019/01/11,216,B
+07DA001,1,2019/01/12,216,B
+07DA001,1,2019/01/13,217,B
+07DA001,1,2019/01/14,217,B
+07DA001,1,2019/01/15,218,B
+07DA001,1,2019/01/16,218,B
+07DA001,1,2019/01/17,218,B
+07DA001,1,2019/01/18,219,B
+07DA001,1,2019/01/19,219,B
+07DA001,1,2019/01/20,220,B
+07DA001,1,2019/01/21,220,B
+07DA001,1,2019/01/22,220,B
+07DA001,1,2019/01/23,221,B
+07DA001,1,2019/01/24,221,B
+07DA001,1,2019/01/25,222,B
+07DA001,1,2019/01/26,222,B
+07DA001,1,2019/01/27,223,B
+07DA001,1,2019/01/28,223,B
+07DA001,1,2019/01/29,223,B
+07DA001,1,2019/01/30,223,B
+07DA001,1,2019/01/31,222,B
+07DA001,1,2019/02/01,221,B
+07DA001,1,2019/02/02,219,B
+07DA001,1,2019/02/03,216,B
+07DA001,1,2019/02/04,213,B
+07DA001,1,2019/02/05,210,B
+07DA001,1,2019/02/06,208,B
+07DA001,1,2019/02/07,205,B
+07DA001,1,2019/02/08,203,B
+07DA001,1,2019/02/09,201,B
+07DA001,1,2019/02/10,200,B
+07DA001,1,2019/02/11,198,B
+07DA001,1,2019/02/12,197,B
+07DA001,1,2019/02/13,195,B
+07DA001,1,2019/02/14,194,B
+07DA001,1,2019/02/15,193,B
+07DA001,1,2019/02/16,193,B
+07DA001,1,2019/02/17,192,B
+07DA001,1,2019/02/18,192,B
+07DA001,1,2019/02/19,191,B
+07DA001,1,2019/02/20,191,B
+07DA001,1,2019/02/21,190,B
+07DA001,1,2019/02/22,190,B
+07DA001,1,2019/02/23,190,B
+07DA001,1,2019/02/24,190,B
+07DA001,1,2019/02/25,190,B
+07DA001,1,2019/02/26,190,B
+07DA001,1,2019/02/27,190,B
+07DA001,1,2019/02/28,190,B
+07DA001,1,2019/03/01,190,B
+07DA001,1,2019/03/02,190,B
+07DA001,1,2019/03/03,190,B
+07DA001,1,2019/03/04,190,B
+07DA001,1,2019/03/05,190,B
+07DA001,1,2019/03/06,190,B
+07DA001,1,2019/03/07,190,B
+07DA001,1,2019/03/08,190,B
+07DA001,1,2019/03/09,190,B
+07DA001,1,2019/03/10,190,B
+07DA001,1,2019/03/11,190,B
+07DA001,1,2019/03/12,190,B
+07DA001,1,2019/03/13,190,B
+07DA001,1,2019/03/14,190,B
+07DA001,1,2019/03/15,190,B
+07DA001,1,2019/03/16,190,B
+07DA001,1,2019/03/17,190,B
+07DA001,1,2019/03/18,192,B
+07DA001,1,2019/03/19,194,B
+07DA001,1,2019/03/20,197,B
+07DA001,1,2019/03/21,202,B
+07DA001,1,2019/03/22,208,B
+07DA001,1,2019/03/23,217,B
+07DA001,1,2019/03/24,230,B
+07DA001,1,2019/03/25,246,B
+07DA001,1,2019/03/26,266,B
+07DA001,1,2019/03/27,290,B
+07DA001,1,2019/03/28,320,B
+07DA001,1,2019/03/29,356,B
+07DA001,1,2019/03/30,398,B
+07DA001,1,2019/03/31,447,B
+07DA001,1,2019/04/01,503,B
+07DA001,1,2019/04/02,566,B
+07DA001,1,2019/04/03,639,B
+07DA001,1,2019/04/04,720,B
+07DA001,1,2019/04/05,810,B
+07DA001,1,2019/04/06,910,B
+07DA001,1,2019/04/07,1010,B
+07DA001,1,2019/04/08,1110,B
+07DA001,1,2019/04/09,1190,B
+07DA001,1,2019/04/10,1250,B
+07DA001,1,2019/04/11,1280,B
+07DA001,1,2019/04/12,1270,B
+07DA001,1,2019/04/13,1240,B
+07DA001,1,2019/04/14,1200,B
+07DA001,1,2019/04/15,1140,B
+07DA001,1,2019/04/16,1100,B
+07DA001,1,2019/04/17,1050,B
+07DA001,1,2019/04/18,1010,B
+07DA001,1,2019/04/19,1020,B
+07DA001,1,2019/04/20,991,B
+07DA001,1,2019/04/21,959,B
+07DA001,1,2019/04/22,932,B
+07DA001,1,2019/04/23,883,B
+07DA001,1,2019/04/24,858,B
+07DA001,1,2019/04/25,850,B
+07DA001,1,2019/04/26,840,B
+07DA001,1,2019/04/27,828,B
+07DA001,1,2019/04/28,814,B
+07DA001,1,2019/04/29,793,B
+07DA001,1,2019/04/30,757,B
+07DA001,1,2019/05/01,727,B
+07DA001,1,2019/05/02,706,B
+07DA001,1,2019/05/03,684,B
+07DA001,1,2019/05/04,664,B
+07DA001,1,2019/05/05,644,B
+07DA001,1,2019/05/06,624,B
+07DA001,1,2019/05/07,604,E
+07DA001,1,2019/05/08,589,E
+07DA001,1,2019/05/09,591,E
+07DA001,1,2019/05/10,594,E
+07DA001,1,2019/05/11,587,E
+07DA001,1,2019/05/12,578,E
+07DA001,1,2019/05/13,602,A
+07DA001,1,2019/05/14,749,
+07DA001,1,2019/05/15,865,
+07DA001,1,2019/05/16,903,
+07DA001,1,2019/05/17,906,
+07DA001,1,2019/05/18,912,
+07DA001,1,2019/05/19,909,
+07DA001,1,2019/05/20,922,
+07DA001,1,2019/05/21,919,
+07DA001,1,2019/05/22,900,
+07DA001,1,2019/05/23,872,
+07DA001,1,2019/05/24,845,
+07DA001,1,2019/05/25,841,
+07DA001,1,2019/05/26,840,
+07DA001,1,2019/05/27,826,
+07DA001,1,2019/05/28,805,
+07DA001,1,2019/05/29,828,
+07DA001,1,2019/05/30,912,
+07DA001,1,2019/05/31,910,
+07DA001,1,2019/06/01,886,
+07DA001,1,2019/06/02,899,
+07DA001,1,2019/06/03,935,
+07DA001,1,2019/06/04,1030,A
+07DA001,1,2019/06/05,1090,A
+07DA001,1,2019/06/06,1070,
+07DA001,1,2019/06/07,1100,
+07DA001,1,2019/06/08,1130,
+07DA001,1,2019/06/09,1130,
+07DA001,1,2019/06/10,1070,
+07DA001,1,2019/06/11,1000,
+07DA001,1,2019/06/12,972,A
+07DA001,1,2019/06/13,946,
+07DA001,1,2019/06/14,938,
+07DA001,1,2019/06/15,906,
+07DA001,1,2019/06/16,877,
+07DA001,1,2019/06/17,862,
+07DA001,1,2019/06/18,882,
+07DA001,1,2019/06/19,1030,
+07DA001,1,2019/06/20,1110,
+07DA001,1,2019/06/21,1060,
+07DA001,1,2019/06/22,1000,
+07DA001,1,2019/06/23,1010,
+07DA001,1,2019/06/24,1370,
+07DA001,1,2019/06/25,1850,
+07DA001,1,2019/06/26,1970,
+07DA001,1,2019/06/27,1880,
+07DA001,1,2019/06/28,1840,
+07DA001,1,2019/06/29,1850,
+07DA001,1,2019/06/30,1910,
+07DA001,1,2019/07/01,2110,
+07DA001,1,2019/07/02,2700,
+07DA001,1,2019/07/03,2990,
+07DA001,1,2019/07/04,2830,
+07DA001,1,2019/07/05,2480,
+07DA001,1,2019/07/06,2240,
+07DA001,1,2019/07/07,2050,A
+07DA001,1,2019/07/08,1890,E
+07DA001,1,2019/07/09,1740,E
+07DA001,1,2019/07/10,1740,E
+07DA001,1,2019/07/11,2070,A
+07DA001,1,2019/07/12,2660,
+07DA001,1,2019/07/13,2670,
+07DA001,1,2019/07/14,2430,
+07DA001,1,2019/07/15,2250,
+07DA001,1,2019/07/16,2070,
+07DA001,1,2019/07/17,1890,
+07DA001,1,2019/07/18,1730,
+07DA001,1,2019/07/19,1620,
+07DA001,1,2019/07/20,1520,
+07DA001,1,2019/07/21,1450,
+07DA001,1,2019/07/22,1420,
+07DA001,1,2019/07/23,1540,
+07DA001,1,2019/07/24,1760,
+07DA001,1,2019/07/25,1720,
+07DA001,1,2019/07/26,1590,
+07DA001,1,2019/07/27,1610,
+07DA001,1,2019/07/28,2150,
+07DA001,1,2019/07/29,2360,
+07DA001,1,2019/07/30,2130,
+07DA001,1,2019/07/31,1870,
+07DA001,1,2019/08/01,1700,
+07DA001,1,2019/08/02,1600,
+07DA001,1,2019/08/03,1550,
+07DA001,1,2019/08/04,1570,
+07DA001,1,2019/08/05,1700,
+07DA001,1,2019/08/06,1800,
+07DA001,1,2019/08/07,1710,
+07DA001,1,2019/08/08,1600,
+07DA001,1,2019/08/09,1490,
+07DA001,1,2019/08/10,1390,
+07DA001,1,2019/08/11,1340,
+07DA001,1,2019/08/12,1350,
+07DA001,1,2019/08/13,1390,
+07DA001,1,2019/08/14,1360,
+07DA001,1,2019/08/15,1310,
+07DA001,1,2019/08/16,1340,
+07DA001,1,2019/08/17,1430,
+07DA001,1,2019/08/18,1510,
+07DA001,1,2019/08/19,1480,
+07DA001,1,2019/08/20,1410,
+07DA001,1,2019/08/21,1350,
+07DA001,1,2019/08/22,1370,
+07DA001,1,2019/08/23,1350,
+07DA001,1,2019/08/24,1340,
+07DA001,1,2019/08/25,1350,
+07DA001,1,2019/08/26,1290,A
+07DA001,1,2019/08/27,1270,
+07DA001,1,2019/08/28,1270,
+07DA001,1,2019/08/29,1250,
+07DA001,1,2019/08/30,1200,
+07DA001,1,2019/08/31,1150,
+07DA001,1,2019/09/01,1100,
+07DA001,1,2019/09/02,1050,
+07DA001,1,2019/09/03,1020,
+07DA001,1,2019/09/04,1010,
+07DA001,1,2019/09/05,988,
+07DA001,1,2019/09/06,969,
+07DA001,1,2019/09/07,976,
+07DA001,1,2019/09/08,987,
+07DA001,1,2019/09/09,990,
+07DA001,1,2019/09/10,962,
+07DA001,1,2019/09/11,944,
+07DA001,1,2019/09/12,941,
+07DA001,1,2019/09/13,1220,
+07DA001,1,2019/09/14,1560,
+07DA001,1,2019/09/15,1510,
+07DA001,1,2019/09/16,1400,
+07DA001,1,2019/09/17,1300,
+07DA001,1,2019/09/18,1220,
+07DA001,1,2019/09/19,1150,
+07DA001,1,2019/09/20,1110,
+07DA001,1,2019/09/21,1100,
+07DA001,1,2019/09/22,1090,
+07DA001,1,2019/09/23,1050,
+07DA001,1,2019/09/24,1010,
+07DA001,1,2019/09/25,976,
+07DA001,1,2019/09/26,935,
+07DA001,1,2019/09/27,902,
+07DA001,1,2019/09/28,881,
+07DA001,1,2019/09/29,873,
+07DA001,1,2019/09/30,875,
+07DA001,1,2019/10/01,862,
+07DA001,1,2019/10/02,844,
+07DA001,1,2019/10/03,826,
+07DA001,1,2019/10/04,806,
+07DA001,1,2019/10/05,787,
+07DA001,1,2019/10/06,761,
+07DA001,1,2019/10/07,747,
+07DA001,1,2019/10/08,732,
+07DA001,1,2019/10/09,718,
+07DA001,1,2019/10/10,703,
+07DA001,1,2019/10/11,680,
+07DA001,1,2019/10/12,665,
+07DA001,1,2019/10/13,649,
+07DA001,1,2019/10/14,640,
+07DA001,1,2019/10/15,634,
+07DA001,1,2019/10/16,625,
+07DA001,1,2019/10/17,610,
+07DA001,1,2019/10/18,612,
+07DA001,1,2019/10/19,614,
+07DA001,1,2019/10/20,620,
+07DA001,1,2019/10/21,628,
+07DA001,1,2019/10/22,629,
+07DA001,1,2019/10/23,629,
+07DA001,1,2019/10/24,631,
+07DA001,1,2019/10/25,631,
+07DA001,1,2019/10/26,625,
+07DA001,1,2019/10/27,613,
+07DA001,1,2019/10/28,600,B
+07DA001,1,2019/10/29,576,B
+07DA001,1,2019/10/30,531,B
+07DA001,1,2019/10/31,538,B
+07DA001,1,2019/11/01,539,B
+07DA001,1,2019/11/02,533,B
+07DA001,1,2019/11/03,519,B
+07DA001,1,2019/11/04,494,B
+07DA001,1,2019/11/05,464,B
+07DA001,1,2019/11/06,439,B
+07DA001,1,2019/11/07,428,B
+07DA001,1,2019/11/08,422,B
+07DA001,1,2019/11/09,417,B
+07DA001,1,2019/11/10,412,B
+07DA001,1,2019/11/11,408,B
+07DA001,1,2019/11/12,405,B
+07DA001,1,2019/11/13,404,B
+07DA001,1,2019/11/14,404,B
+07DA001,1,2019/11/15,407,B
+07DA001,1,2019/11/16,409,B
+07DA001,1,2019/11/17,411,B
+07DA001,1,2019/11/18,410,B
+07DA001,1,2019/11/19,406,B
+07DA001,1,2019/11/20,401,B
+07DA001,1,2019/11/21,397,B
+07DA001,1,2019/11/22,392,B
+07DA001,1,2019/11/23,388,B
+07DA001,1,2019/11/24,383,B
+07DA001,1,2019/11/25,379,B
+07DA001,1,2019/11/26,374,B
+07DA001,1,2019/11/27,370,B
+07DA001,1,2019/11/28,365,B
+07DA001,1,2019/11/29,360,B
+07DA001,1,2019/11/30,356,B
+07DA001,1,2019/12/01,351,B
+07DA001,1,2019/12/02,347,B
+07DA001,1,2019/12/03,342,B
+07DA001,1,2019/12/04,338,B
+07DA001,1,2019/12/05,333,B
+07DA001,1,2019/12/06,329,B
+07DA001,1,2019/12/07,324,B
+07DA001,1,2019/12/08,320,B
+07DA001,1,2019/12/09,315,B
+07DA001,1,2019/12/10,311,B
+07DA001,1,2019/12/11,307,B
+07DA001,1,2019/12/12,304,B
+07DA001,1,2019/12/13,300,B
+07DA001,1,2019/12/14,297,B
+07DA001,1,2019/12/15,297,B
+07DA001,1,2019/12/16,297,B
+07DA001,1,2019/12/17,296,B
+07DA001,1,2019/12/18,299,B
+07DA001,1,2019/12/19,304,B
+07DA001,1,2019/12/20,310,B
+07DA001,1,2019/12/21,315,B
+07DA001,1,2019/12/22,323,B
+07DA001,1,2019/12/23,332,B
+07DA001,1,2019/12/24,341,B
+07DA001,1,2019/12/25,346,B
+07DA001,1,2019/12/26,347,B
+07DA001,1,2019/12/27,347,B
+07DA001,1,2019/12/28,345,B
+07DA001,1,2019/12/29,343,B
+07DA001,1,2019/12/30,336,B
+07DA001,1,2019/12/31,319,B
+07DA001,1,2020/01/01,299,B
+07DA001,1,2020/01/02,284,B
+07DA001,1,2020/01/03,279,B
+07DA001,1,2020/01/04,277,B
+07DA001,1,2020/01/05,276,B
+07DA001,1,2020/01/06,275,B
+07DA001,1,2020/01/07,273,B
+07DA001,1,2020/01/08,272,B
+07DA001,1,2020/01/09,271,B
+07DA001,1,2020/01/10,270,B
+07DA001,1,2020/01/11,270,B
+07DA001,1,2020/01/12,268,B
+07DA001,1,2020/01/13,265,B
+07DA001,1,2020/01/14,262,B
+07DA001,1,2020/01/15,259,B
+07DA001,1,2020/01/16,255,B
+07DA001,1,2020/01/17,252,B
+07DA001,1,2020/01/18,248,B
+07DA001,1,2020/01/19,245,B
+07DA001,1,2020/01/20,241,B
+07DA001,1,2020/01/21,238,B
+07DA001,1,2020/01/22,236,B
+07DA001,1,2020/01/23,236,B
+07DA001,1,2020/01/24,235,B
+07DA001,1,2020/01/25,235,B
+07DA001,1,2020/01/26,235,B
+07DA001,1,2020/01/27,237,B
+07DA001,1,2020/01/28,238,B
+07DA001,1,2020/01/29,239,B
+07DA001,1,2020/01/30,240,B
+07DA001,1,2020/01/31,241,B
+07DA001,1,2020/02/01,242,B
+07DA001,1,2020/02/02,243,B
+07DA001,1,2020/02/03,244,B
+07DA001,1,2020/02/04,246,B
+07DA001,1,2020/02/05,246,B
+07DA001,1,2020/02/06,246,B
+07DA001,1,2020/02/07,247,B
+07DA001,1,2020/02/08,247,B
+07DA001,1,2020/02/09,247,B
+07DA001,1,2020/02/10,247,B
+07DA001,1,2020/02/11,246,B
+07DA001,1,2020/02/12,246,B
+07DA001,1,2020/02/13,243,B
+07DA001,1,2020/02/14,239,B
+07DA001,1,2020/02/15,236,B
+07DA001,1,2020/02/16,234,B
+07DA001,1,2020/02/17,232,B
+07DA001,1,2020/02/18,229,B
+07DA001,1,2020/02/19,227,B
+07DA001,1,2020/02/20,225,B
+07DA001,1,2020/02/21,223,B
+07DA001,1,2020/02/22,221,B
+07DA001,1,2020/02/23,220,B
+07DA001,1,2020/02/24,220,B
+07DA001,1,2020/02/25,221,B
+07DA001,1,2020/02/26,221,B
+07DA001,1,2020/02/27,222,B
+07DA001,1,2020/02/28,222,B
+07DA001,1,2020/02/29,223,B
+07DA001,1,2020/03/01,224,B
+07DA001,1,2020/03/02,224,B
+07DA001,1,2020/03/03,225,B
+07DA001,1,2020/03/04,226,B
+07DA001,1,2020/03/05,227,B
+07DA001,1,2020/03/06,227,B
+07DA001,1,2020/03/07,228,B
+07DA001,1,2020/03/08,229,B
+07DA001,1,2020/03/09,229,B
+07DA001,1,2020/03/10,230,B
+07DA001,1,2020/03/11,231,B
+07DA001,1,2020/03/12,232,B
+07DA001,1,2020/03/13,232,B
+07DA001,1,2020/03/14,233,B
+07DA001,1,2020/03/15,233,B
+07DA001,1,2020/03/16,233,B
+07DA001,1,2020/03/17,233,B
+07DA001,1,2020/03/18,232,B
+07DA001,1,2020/03/19,232,B
+07DA001,1,2020/03/20,232,B
+07DA001,1,2020/03/21,232,B
+07DA001,1,2020/03/22,232,B
+07DA001,1,2020/03/23,232,B
+07DA001,1,2020/03/24,232,B
+07DA001,1,2020/03/25,233,B
+07DA001,1,2020/03/26,233,B
+07DA001,1,2020/03/27,234,B
+07DA001,1,2020/03/28,234,B
+07DA001,1,2020/03/29,234,B
+07DA001,1,2020/03/30,235,B
+07DA001,1,2020/03/31,235,B
+07DA001,1,2020/04/01,236,B
+07DA001,1,2020/04/02,236,B
+07DA001,1,2020/04/03,236,B
+07DA001,1,2020/04/04,237,B
+07DA001,1,2020/04/05,238,B
+07DA001,1,2020/04/06,239,B
+07DA001,1,2020/04/07,240,B
+07DA001,1,2020/04/08,240,B
+07DA001,1,2020/04/09,241,B
+07DA001,1,2020/04/10,241,B
+07DA001,1,2020/04/11,242,B
+07DA001,1,2020/04/12,242,B
+07DA001,1,2020/04/13,242,B
+07DA001,1,2020/04/14,243,B
+07DA001,1,2020/04/15,243,B
+07DA001,1,2020/04/16,245,B
+07DA001,1,2020/04/17,258,B
+07DA001,1,2020/04/18,274,B
+07DA001,1,2020/04/19,289,B
+07DA001,1,2020/04/20,309,B
+07DA001,1,2020/04/21,401,B
+07DA001,1,2020/04/22,518,B
+07DA001,1,2020/04/23,632,B
+07DA001,1,2020/04/24,744,B
+07DA001,1,2020/04/25,1060,B
+07DA001,1,2020/05/04,1940,A
+07DA001,1,2020/05/05,1810,
+07DA001,1,2020/05/06,1680,
+07DA001,1,2020/05/07,1630,
+07DA001,1,2020/05/08,1780,
+07DA001,1,2020/05/09,1850,
+07DA001,1,2020/05/10,1810,
+07DA001,1,2020/05/11,1710,
+07DA001,1,2020/05/12,1610,
+07DA001,1,2020/05/13,1540,
+07DA001,1,2020/05/14,1450,
+07DA001,1,2020/05/15,1340,
+07DA001,1,2020/05/16,1260,
+07DA001,1,2020/05/17,1200,
+07DA001,1,2020/05/18,1130,
+07DA001,1,2020/05/19,1080,
+07DA001,1,2020/05/20,1030,
+07DA001,1,2020/05/21,1010,
+07DA001,1,2020/05/22,1070,
+07DA001,1,2020/05/23,1370,
+07DA001,1,2020/05/24,1470,
+07DA001,1,2020/05/25,2170,
+07DA001,1,2020/05/26,3200,
+07DA001,1,2020/05/27,3260,
+07DA001,1,2020/05/28,2850,
+07DA001,1,2020/05/29,2520,
+07DA001,1,2020/05/30,2340,
+07DA001,1,2020/05/31,2210,
+07DA001,1,2020/06/01,2120,
+07DA001,1,2020/06/02,2000,
+07DA001,1,2020/06/03,1900,
+07DA001,1,2020/06/04,1910,
+07DA001,1,2020/06/05,2200,
+07DA001,1,2020/06/06,2420,
+07DA001,1,2020/06/07,2480,
+07DA001,1,2020/06/08,2870,
+07DA001,1,2020/06/09,3150,
+07DA001,1,2020/06/10,3310,
+07DA001,1,2020/06/11,3380,
+07DA001,1,2020/06/12,3410,
+07DA001,1,2020/06/13,3280,
+07DA001,1,2020/06/14,3030,
+07DA001,1,2020/06/15,2800,
+07DA001,1,2020/06/16,2630,
+07DA001,1,2020/06/17,2640,
+07DA001,1,2020/06/18,3050,
+07DA001,1,2020/06/19,3050,
+07DA001,1,2020/06/20,2760,
+07DA001,1,2020/06/21,2480,
+07DA001,1,2020/06/22,2260,
+07DA001,1,2020/06/23,2080,
+07DA001,1,2020/06/24,1980,
+07DA001,1,2020/06/25,1960,
+07DA001,1,2020/06/26,1960,
+07DA001,1,2020/06/27,1930,
+07DA001,1,2020/06/28,1950,
+07DA001,1,2020/06/29,2090,
+07DA001,1,2020/06/30,2120,
+07DA001,1,2020/07/01,2090,
+07DA001,1,2020/07/02,2180,
+07DA001,1,2020/07/03,2230,
+07DA001,1,2020/07/04,2320,
+07DA001,1,2020/07/05,3030,
+07DA001,1,2020/07/06,3980,
+07DA001,1,2020/07/07,4380,
+07DA001,1,2020/07/08,3860,
+07DA001,1,2020/07/09,3230,
+07DA001,1,2020/07/10,2860,
+07DA001,1,2020/07/11,2670,
+07DA001,1,2020/07/12,2630,
+07DA001,1,2020/07/13,2710,
+07DA001,1,2020/07/14,2700,
+07DA001,1,2020/07/15,2560,
+07DA001,1,2020/07/16,2400,
+07DA001,1,2020/07/17,2340,
+07DA001,1,2020/07/18,2370,
+07DA001,1,2020/07/19,2320,
+07DA001,1,2020/07/20,2230,
+07DA001,1,2020/07/21,2190,
+07DA001,1,2020/07/22,2260,
+07DA001,1,2020/07/23,2240,
+07DA001,1,2020/07/24,2200,
+07DA001,1,2020/07/25,2150,
+07DA001,1,2020/07/26,2090,
+07DA001,1,2020/07/27,2050,
+07DA001,1,2020/07/28,2070,
+07DA001,1,2020/07/29,2070,
+07DA001,1,2020/07/30,2010,
+07DA001,1,2020/07/31,1880,
+07DA001,1,2020/08/01,1770,
+07DA001,1,2020/08/02,1710,
+07DA001,1,2020/08/03,1740,
+07DA001,1,2020/08/04,1730,
+07DA001,1,2020/08/05,1670,
+07DA001,1,2020/08/06,1610,
+07DA001,1,2020/08/07,1570,
+07DA001,1,2020/08/08,1560,
+07DA001,1,2020/08/09,1540,
+07DA001,1,2020/08/10,1470,
+07DA001,1,2020/08/11,1400,
+07DA001,1,2020/08/12,1350,
+07DA001,1,2020/08/13,1330,
+07DA001,1,2020/08/14,1290,
+07DA001,1,2020/08/15,1220,
+07DA001,1,2020/08/16,1150,
+07DA001,1,2020/08/17,1090,
+07DA001,1,2020/08/18,1050,
+07DA001,1,2020/08/19,1020,
+07DA001,1,2020/08/20,982,
+07DA001,1,2020/08/21,945,
+07DA001,1,2020/08/22,965,
+07DA001,1,2020/08/23,1100,
+07DA001,1,2020/08/24,1210,
+07DA001,1,2020/08/25,1250,
+07DA001,1,2020/08/26,1240,
+07DA001,1,2020/08/27,1220,
+07DA001,1,2020/08/28,1190,
+07DA001,1,2020/08/29,1210,
+07DA001,1,2020/08/30,1200,
+07DA001,1,2020/08/31,1180,
+07DA001,1,2020/09/01,1160,
+07DA001,1,2020/09/02,1130,
+07DA001,1,2020/09/03,1110,
+07DA001,1,2020/09/04,1080,
+07DA001,1,2020/09/05,1070,
+07DA001,1,2020/09/06,1060,
+07DA001,1,2020/09/07,1030,
+07DA001,1,2020/09/08,1000,
+07DA001,1,2020/09/09,1000,
+07DA001,1,2020/09/10,1010,
+07DA001,1,2020/09/11,1010,
+07DA001,1,2020/09/12,1020,
+07DA001,1,2020/09/13,1040,
+07DA001,1,2020/09/14,1060,
+07DA001,1,2020/09/15,1030,
+07DA001,1,2020/09/16,977,
+07DA001,1,2020/09/17,944,
+07DA001,1,2020/09/18,923,
+07DA001,1,2020/09/19,913,
+07DA001,1,2020/09/20,899,
+07DA001,1,2020/09/21,877,
+07DA001,1,2020/09/22,854,
+07DA001,1,2020/09/23,831,
+07DA001,1,2020/09/24,825,
+07DA001,1,2020/09/25,841,
+07DA001,1,2020/09/26,847,
+07DA001,1,2020/09/27,841,
+07DA001,1,2020/09/28,831,
+07DA001,1,2020/09/29,814,
+07DA001,1,2020/09/30,791,
+07DA001,1,2020/10/01,778,
+07DA001,1,2020/10/02,787,
+07DA001,1,2020/10/03,766,
+07DA001,1,2020/10/04,744,
+07DA001,1,2020/10/05,714,
+07DA001,1,2020/10/06,699,
+07DA001,1,2020/10/07,700,
+07DA001,1,2020/10/08,716,
+07DA001,1,2020/10/09,718,
+07DA001,1,2020/10/10,717,
+07DA001,1,2020/10/11,773,
+07DA001,1,2020/10/12,843,
+07DA001,1,2020/10/13,864,
+07DA001,1,2020/10/14,864,
+07DA001,1,2020/10/15,855,
+07DA001,1,2020/10/16,825,B
+07DA001,1,2020/10/17,795,B
+07DA001,1,2020/10/18,765,B
+07DA001,1,2020/10/19,735,B
+07DA001,1,2020/10/20,705,B
+07DA001,1,2020/10/21,675,B
+07DA001,1,2020/10/22,645,B
+07DA001,1,2020/10/23,615,B
+07DA001,1,2020/10/24,585,B
+07DA001,1,2020/10/25,555,B
+07DA001,1,2020/10/26,533,B
+07DA001,1,2020/10/27,528,B
+07DA001,1,2020/10/28,520,B
+07DA001,1,2020/10/29,506,B
+07DA001,1,2020/10/30,492,B
+07DA001,1,2020/10/31,485,B
+07DA001,1,2020/11/01,479,B
+07DA001,1,2020/11/02,483,B
+07DA001,1,2020/11/03,497,B
+07DA001,1,2020/11/04,502,B
+07DA001,1,2020/11/05,498,B
+07DA001,1,2020/11/06,495,B
+07DA001,1,2020/11/07,492,B
+07DA001,1,2020/11/08,486,B
+07DA001,1,2020/11/09,477,B
+07DA001,1,2020/11/10,469,B
+07DA001,1,2020/11/11,460,B
+07DA001,1,2020/11/12,451,B
+07DA001,1,2020/11/13,442,B
+07DA001,1,2020/11/14,434,B
+07DA001,1,2020/11/15,425,B
+07DA001,1,2020/11/16,416,B
+07DA001,1,2020/11/17,408,B
+07DA001,1,2020/11/18,399,B
+07DA001,1,2020/11/19,390,B
+07DA001,1,2020/11/20,382,B
+07DA001,1,2020/11/21,373,B
+07DA001,1,2020/11/22,364,B
+07DA001,1,2020/11/23,356,B
+07DA001,1,2020/11/24,347,B
+07DA001,1,2020/11/25,338,B
+07DA001,1,2020/11/26,331,B
+07DA001,1,2020/11/27,328,B
+07DA001,1,2020/11/28,327,B
+07DA001,1,2020/11/29,325,B
+07DA001,1,2020/11/30,324,B
+07DA001,1,2020/12/01,322,B
+07DA001,1,2020/12/02,321,B
+07DA001,1,2020/12/03,319,B
+07DA001,1,2020/12/04,317,B
+07DA001,1,2020/12/05,316,B
+07DA001,1,2020/12/06,314,B
+07DA001,1,2020/12/07,313,B
+07DA001,1,2020/12/08,311,B
+07DA001,1,2020/12/09,310,B
+07DA001,1,2020/12/10,307,B
+07DA001,1,2020/12/11,303,B
+07DA001,1,2020/12/12,300,B
+07DA001,1,2020/12/13,296,B
+07DA001,1,2020/12/14,292,B
+07DA001,1,2020/12/15,288,B
+07DA001,1,2020/12/16,284,B
+07DA001,1,2020/12/17,280,B
+07DA001,1,2020/12/18,276,B
+07DA001,1,2020/12/19,272,B
+07DA001,1,2020/12/20,268,B
+07DA001,1,2020/12/21,264,B
+07DA001,1,2020/12/22,262,B
+07DA001,1,2020/12/23,261,B
+07DA001,1,2020/12/24,260,B
+07DA001,1,2020/12/25,258,B
+07DA001,1,2020/12/26,257,B
+07DA001,1,2020/12/27,256,B
+07DA001,1,2020/12/28,255,B
+07DA001,1,2020/12/29,254,B
+07DA001,1,2020/12/30,253,B
+07DA001,1,2020/12/31,251,B
+07DA001,1,2021/01/01,250,B
+07DA001,1,2021/01/02,249,B
+07DA001,1,2021/01/03,248,B
+07DA001,1,2021/01/04,247,B
+07DA001,1,2021/01/05,246,B
+07DA001,1,2021/01/06,245,B
+07DA001,1,2021/01/07,243,B
+07DA001,1,2021/01/08,242,B
+07DA001,1,2021/01/09,241,B
+07DA001,1,2021/01/10,240,B
+07DA001,1,2021/01/11,240,B
+07DA001,1,2021/01/12,239,B
+07DA001,1,2021/01/13,239,B
+07DA001,1,2021/01/14,238,B
+07DA001,1,2021/01/15,237,B
+07DA001,1,2021/01/16,237,B
+07DA001,1,2021/01/17,236,B
+07DA001,1,2021/01/18,236,B
+07DA001,1,2021/01/19,235,B
+07DA001,1,2021/01/20,234,B
+07DA001,1,2021/01/21,233,B
+07DA001,1,2021/01/22,232,B
+07DA001,1,2021/01/23,231,B
+07DA001,1,2021/01/24,230,B
+07DA001,1,2021/01/25,229,B
+07DA001,1,2021/01/26,228,B
+07DA001,1,2021/01/27,227,B
+07DA001,1,2021/01/28,226,B
+07DA001,1,2021/01/29,222,B
+07DA001,1,2021/01/30,217,B
+07DA001,1,2021/01/31,212,B
+07DA001,1,2021/02/01,209,B
+07DA001,1,2021/02/02,207,B
+07DA001,1,2021/02/03,206,B
+07DA001,1,2021/02/04,204,B
+07DA001,1,2021/02/05,203,B
+07DA001,1,2021/02/06,202,B
+07DA001,1,2021/02/07,201,B
+07DA001,1,2021/02/08,201,B
+07DA001,1,2021/02/09,200,B
+07DA001,1,2021/02/10,199,B
+07DA001,1,2021/02/11,199,B
+07DA001,1,2021/02/12,199,B
+07DA001,1,2021/02/13,199,B
+07DA001,1,2021/02/14,198,B
+07DA001,1,2021/02/15,198,B
+07DA001,1,2021/02/16,198,B
+07DA001,1,2021/02/17,198,B
+07DA001,1,2021/02/18,198,B
+07DA001,1,2021/02/19,198,B
+07DA001,1,2021/02/20,197,B
+07DA001,1,2021/02/21,197,B
+07DA001,1,2021/02/22,197,B
+07DA001,1,2021/02/23,197,B
+07DA001,1,2021/02/24,197,B
+07DA001,1,2021/02/25,197,B
+07DA001,1,2021/02/26,198,B
+07DA001,1,2021/02/27,198,B
+07DA001,1,2021/02/28,199,B
+07DA001,1,2021/03/01,201,B
+07DA001,1,2021/03/02,202,B
+07DA001,1,2021/03/03,204,B
+07DA001,1,2021/03/04,205,B
+07DA001,1,2021/03/05,207,B
+07DA001,1,2021/03/06,208,B
+07DA001,1,2021/03/07,210,B
+07DA001,1,2021/03/08,210,B
+07DA001,1,2021/03/09,211,B
+07DA001,1,2021/03/10,212,B
+07DA001,1,2021/03/11,213,B
+07DA001,1,2021/03/12,213,B
+07DA001,1,2021/03/13,214,B
+07DA001,1,2021/03/14,215,B
+07DA001,1,2021/03/15,215,B
+07DA001,1,2021/03/16,216,B
+07DA001,1,2021/03/17,217,B
+07DA001,1,2021/03/18,218,B
+07DA001,1,2021/03/19,221,B
+07DA001,1,2021/03/20,223,B
+07DA001,1,2021/03/21,226,B
+07DA001,1,2021/03/22,229,B
+07DA001,1,2021/03/23,232,B
+07DA001,1,2021/03/24,235,B
+07DA001,1,2021/03/25,238,B
+07DA001,1,2021/03/26,241,B
+07DA001,1,2021/03/27,244,B
+07DA001,1,2021/03/28,247,B
+07DA001,1,2021/03/29,250,B
+07DA001,1,2021/03/30,253,B
+07DA001,1,2021/03/31,256,B
+07DA001,1,2021/04/01,259,B
+07DA001,1,2021/04/02,262,B
+07DA001,1,2021/04/03,265,B
+07DA001,1,2021/04/04,268,B
+07DA001,1,2021/04/05,273,B
+07DA001,1,2021/04/06,279,B
+07DA001,1,2021/04/07,286,B
+07DA001,1,2021/04/08,293,B
+07DA001,1,2021/04/09,301,B
+07DA001,1,2021/04/10,312,B
+07DA001,1,2021/04/11,322,B
+07DA001,1,2021/04/12,332,B
+07DA001,1,2021/04/13,342,B
+07DA001,1,2021/04/14,353,B
+07DA001,1,2021/04/15,363,B
+07DA001,1,2021/04/16,374,B
+07DA001,1,2021/04/17,402,B
+07DA001,1,2021/04/18,446,B
+07DA001,1,2021/04/19,512,B
+07DA001,1,2021/04/20,635,B
+07DA001,1,2021/04/21,724,B
+07DA001,1,2021/04/22,746,B
+07DA001,1,2021/04/23,727,B
+07DA001,1,2021/04/24,697,B
+07DA001,1,2021/04/25,650,B
+07DA001,1,2021/04/26,619,B
+07DA001,1,2021/04/27,606,B
+07DA001,1,2021/04/28,609,B
+07DA001,1,2021/04/29,614,B
+07DA001,1,2021/04/30,613,B
+07DA001,1,2021/05/01,599,B
+07DA001,1,2021/05/02,587,B
+07DA001,1,2021/05/03,585,B
+07DA001,1,2021/05/04,593,B
+07DA001,1,2021/05/05,602,B
+07DA001,1,2021/05/06,611,B
+07DA001,1,2021/05/07,625,B
+07DA001,1,2021/05/08,642,
+07DA001,1,2021/05/09,660,
+07DA001,1,2021/05/10,664,
+07DA001,1,2021/05/11,660,
+07DA001,1,2021/05/12,664,
+07DA001,1,2021/05/13,697,
+07DA001,1,2021/05/14,770,
+07DA001,1,2021/05/15,806,
+07DA001,1,2021/05/16,795,
+07DA001,1,2021/05/17,779,
+07DA001,1,2021/05/18,788,
+07DA001,1,2021/05/19,814,
+07DA001,1,2021/05/20,871,
+07DA001,1,2021/05/21,941,
+07DA001,1,2021/05/22,1010,
+07DA001,1,2021/05/23,1340,
+07DA001,1,2021/05/24,1490,
+07DA001,1,2021/05/25,1390,
+07DA001,1,2021/05/26,1280,
+07DA001,1,2021/05/27,1190,
+07DA001,1,2021/05/28,1150,
+07DA001,1,2021/05/29,1230,
+07DA001,1,2021/05/30,1480,
+07DA001,1,2021/05/31,1810,
+07DA001,1,2021/06/01,1870,
+07DA001,1,2021/06/02,1830,
+07DA001,1,2021/06/03,1720,
+07DA001,1,2021/06/04,1560,
+07DA001,1,2021/06/05,1450,
+07DA001,1,2021/06/06,1430,
+07DA001,1,2021/06/07,1580,
+07DA001,1,2021/06/08,1710,
+07DA001,1,2021/06/09,1730,
+07DA001,1,2021/06/10,1700,
+07DA001,1,2021/06/11,1690,
+07DA001,1,2021/06/12,1690,
+07DA001,1,2021/06/13,1620,
+07DA001,1,2021/06/14,1610,
+07DA001,1,2021/06/15,1550,
+07DA001,1,2021/06/16,1490,
+07DA001,1,2021/06/17,1420,
+07DA001,1,2021/06/18,1400,
+07DA001,1,2021/06/19,1400,
+07DA001,1,2021/06/20,1440,
+07DA001,1,2021/06/21,1570,
+07DA001,1,2021/06/22,1550,
+07DA001,1,2021/06/23,1450,
+07DA001,1,2021/06/24,1370,
+07DA001,1,2021/06/25,1320,
+07DA001,1,2021/06/26,1320,
+07DA001,1,2021/06/27,1320,
+07DA001,1,2021/06/28,1360,
+07DA001,1,2021/06/29,1390,
+07DA001,1,2021/06/30,1360,
+07DA001,1,2021/07/01,1340,
+07DA001,1,2021/07/02,1370,
+07DA001,1,2021/07/03,1390,
+07DA001,1,2021/07/04,1400,
+07DA001,1,2021/07/05,1410,
+07DA001,1,2021/07/06,1380,
+07DA001,1,2021/07/07,1360,
+07DA001,1,2021/07/08,1330,
+07DA001,1,2021/07/09,1230,
+07DA001,1,2021/07/10,1120,
+07DA001,1,2021/07/11,1050,
+07DA001,1,2021/07/12,1000,
+07DA001,1,2021/07/13,960,
+07DA001,1,2021/07/14,925,
+07DA001,1,2021/07/15,906,
+07DA001,1,2021/07/16,890,
+07DA001,1,2021/07/17,880,
+07DA001,1,2021/07/18,856,
+07DA001,1,2021/07/19,818,
+07DA001,1,2021/07/20,789,
+07DA001,1,2021/07/21,778,
+07DA001,1,2021/07/22,773,
+07DA001,1,2021/07/23,777,
+07DA001,1,2021/07/24,784,
+07DA001,1,2021/07/25,772,
+07DA001,1,2021/07/26,763,
+07DA001,1,2021/07/27,749,
+07DA001,1,2021/07/28,722,
+07DA001,1,2021/07/29,682,
+07DA001,1,2021/07/30,640,
+07DA001,1,2021/07/31,616,
+07DA001,1,2021/08/01,604,
+07DA001,1,2021/08/02,599,
+07DA001,1,2021/08/03,603,
+07DA001,1,2021/08/04,603,
+07DA001,1,2021/08/05,596,
+07DA001,1,2021/08/06,599,
+07DA001,1,2021/08/07,601,
+07DA001,1,2021/08/08,616,
+07DA001,1,2021/08/09,620,
+07DA001,1,2021/08/10,628,
+07DA001,1,2021/08/11,624,
+07DA001,1,2021/08/12,617,
+07DA001,1,2021/08/13,610,
+07DA001,1,2021/08/14,606,
+07DA001,1,2021/08/15,572,
+07DA001,1,2021/08/16,538,
+07DA001,1,2021/08/17,524,
+07DA001,1,2021/08/18,536,
+07DA001,1,2021/08/19,546,
+07DA001,1,2021/08/20,529,
+07DA001,1,2021/08/21,521,
+07DA001,1,2021/08/22,529,
+07DA001,1,2021/08/23,564,
+07DA001,1,2021/08/24,555,
+07DA001,1,2021/08/25,514,
+07DA001,1,2021/08/26,479,
+07DA001,1,2021/08/27,479,
+07DA001,1,2021/08/28,485,
+07DA001,1,2021/08/29,501,
+07DA001,1,2021/08/30,534,
+07DA001,1,2021/08/31,548,
+07DA001,1,2021/09/01,543,
+07DA001,1,2021/09/02,516,
+07DA001,1,2021/09/03,492,
+07DA001,1,2021/09/04,486,
+07DA001,1,2021/09/05,483,
+07DA001,1,2021/09/06,553,
+07DA001,1,2021/09/07,846,
+07DA001,1,2021/09/08,852,
+07DA001,1,2021/09/09,765,
+07DA001,1,2021/09/10,705,
+07DA001,1,2021/09/11,662,
+07DA001,1,2021/09/12,676,
+07DA001,1,2021/09/13,670,
+07DA001,1,2021/09/14,629,
+07DA001,1,2021/09/15,608,
+07DA001,1,2021/09/16,618,
+07DA001,1,2021/09/17,609,
+07DA001,1,2021/09/18,593,
+07DA001,1,2021/09/19,584,
+07DA001,1,2021/09/20,573,
+07DA001,1,2021/09/21,535,
+07DA001,1,2021/09/22,518,
+07DA001,1,2021/09/23,514,
+07DA001,1,2021/09/24,488,
+07DA001,1,2021/09/25,473,
+07DA001,1,2021/09/26,489,
+07DA001,1,2021/09/27,492,
+07DA001,1,2021/09/28,467,
+07DA001,1,2021/09/29,448,
+07DA001,1,2021/09/30,455,
+07DA001,1,2021/10/01,461,
+07DA001,1,2021/10/02,442,
+07DA001,1,2021/10/03,441,
+07DA001,1,2021/10/04,451,
+07DA001,1,2021/10/05,478,
+07DA001,1,2021/10/06,475,
+07DA001,1,2021/10/07,446,
+07DA001,1,2021/10/08,438,
+07DA001,1,2021/10/09,435,
+07DA001,1,2021/10/10,420,
+07DA001,1,2021/10/11,413,
+07DA001,1,2021/10/12,402,
+07DA001,1,2021/10/13,396,
+07DA001,1,2021/10/14,402,
+07DA001,1,2021/10/15,398,
+07DA001,1,2021/10/16,386,
+07DA001,1,2021/10/17,373,
+07DA001,1,2021/10/18,370,
+07DA001,1,2021/10/19,365,
+07DA001,1,2021/10/20,354,
+07DA001,1,2021/10/21,345,
+07DA001,1,2021/10/22,338,
+07DA001,1,2021/10/23,335,
+07DA001,1,2021/10/24,330,
+07DA001,1,2021/10/25,326,
+07DA001,1,2021/10/26,349,
+07DA001,1,2021/10/27,352,
+07DA001,1,2021/10/28,352,
+07DA001,1,2021/10/29,349,
+07DA001,1,2021/10/30,340,
+07DA001,1,2021/10/31,333,
+07DA001,1,2021/11/01,331,
+07DA001,1,2021/11/02,316,B
+07DA001,1,2021/11/03,312,B
+07DA001,1,2021/11/04,305,B
+07DA001,1,2021/11/05,312,B
+07DA001,1,2021/11/06,295,B
+07DA001,1,2021/11/07,271,B
+07DA001,1,2021/11/08,265,B
+07DA001,1,2021/11/09,268,B
+07DA001,1,2021/11/10,259,B
+07DA001,1,2021/11/11,266,B
+07DA001,1,2021/11/12,256,B
+07DA001,1,2021/11/13,239,B
+07DA001,1,2021/11/14,222,B
+07DA001,1,2021/11/15,206,B
+07DA001,1,2021/11/16,196,B
+07DA001,1,2021/11/17,191,B
+07DA001,1,2021/11/18,186,B
+07DA001,1,2021/11/19,182,B
+07DA001,1,2021/11/20,181,B
+07DA001,1,2021/11/21,178,B
+07DA001,1,2021/11/22,178,B
+07DA001,1,2021/11/23,181,B
+07DA001,1,2021/11/24,187,B
+07DA001,1,2021/11/25,195,B
+07DA001,1,2021/11/26,203,B
+07DA001,1,2021/11/27,206,B
+07DA001,1,2021/11/28,205,B
+07DA001,1,2021/11/29,204,B
+07DA001,1,2021/11/30,202,B
+07DA001,1,2021/12/01,200,B
+07DA001,1,2021/12/02,197,B
+07DA001,1,2021/12/03,193,B
+07DA001,1,2021/12/04,190,B
+07DA001,1,2021/12/05,186,B
+07DA001,1,2021/12/06,183,B
+07DA001,1,2021/12/07,181,B
+07DA001,1,2021/12/08,180,B
+07DA001,1,2021/12/09,179,B
+07DA001,1,2021/12/10,177,B
+07DA001,1,2021/12/11,177,B
+07DA001,1,2021/12/12,178,B
+07DA001,1,2021/12/13,179,B
+07DA001,1,2021/12/14,181,B
+07DA001,1,2021/12/15,182,B
+07DA001,1,2021/12/16,183,B
+07DA001,1,2021/12/17,184,B
+07DA001,1,2021/12/18,184,B
+07DA001,1,2021/12/19,185,B
+07DA001,1,2021/12/20,185,B
+07DA001,1,2021/12/21,185,B
+07DA001,1,2021/12/22,185,B
+07DA001,1,2021/12/23,185,B
+07DA001,1,2021/12/24,182,B
+07DA001,1,2021/12/25,178,B
+07DA001,1,2021/12/26,175,B
+07DA001,1,2021/12/27,172,B
+07DA001,1,2021/12/28,171,B
+07DA001,1,2021/12/29,170,B
+07DA001,1,2021/12/30,170,B
+07DA001,1,2021/12/31,170,B
+07DA001,1,2022/01/01,170,B
+07DA001,1,2022/01/02,170,B
+07DA001,1,2022/01/03,169,B
+07DA001,1,2022/01/04,168,B
+07DA001,1,2022/01/05,166,B
+07DA001,1,2022/01/06,164,B
+07DA001,1,2022/01/07,162,B
+07DA001,1,2022/01/08,161,B
+07DA001,1,2022/01/09,159,B
+07DA001,1,2022/01/10,158,B
+07DA001,1,2022/01/11,157,B
+07DA001,1,2022/01/12,156,B
+07DA001,1,2022/01/13,156,B
+07DA001,1,2022/01/14,156,B
+07DA001,1,2022/01/15,156,B
+07DA001,1,2022/01/16,156,B
+07DA001,1,2022/01/17,156,B
+07DA001,1,2022/01/18,156,B
+07DA001,1,2022/01/19,156,B
+07DA001,1,2022/01/20,156,B
+07DA001,1,2022/01/21,155,B
+07DA001,1,2022/01/22,155,B
+07DA001,1,2022/01/23,155,B
+07DA001,1,2022/01/24,155,B
+07DA001,1,2022/01/25,155,B
+07DA001,1,2022/01/26,155,B
+07DA001,1,2022/01/27,154,B
+07DA001,1,2022/01/28,154,B
+07DA001,1,2022/01/29,154,B
+07DA001,1,2022/01/30,154,B
+07DA001,1,2022/01/31,154,B
+07DA001,1,2022/02/01,154,B
+07DA001,1,2022/02/02,154,B
+07DA001,1,2022/02/03,153,B
+07DA001,1,2022/02/04,153,B
+07DA001,1,2022/02/05,153,B
+07DA001,1,2022/02/06,153,B
+07DA001,1,2022/02/07,153,B
+07DA001,1,2022/02/08,153,B
+07DA001,1,2022/02/09,152,B
+07DA001,1,2022/02/10,152,B
+07DA001,1,2022/02/11,152,B
+07DA001,1,2022/02/12,152,B
+07DA001,1,2022/02/13,152,B
+07DA001,1,2022/02/14,152,B
+07DA001,1,2022/02/15,152,B
+07DA001,1,2022/02/16,151,B
+07DA001,1,2022/02/17,151,B
+07DA001,1,2022/02/18,151,B
+07DA001,1,2022/02/19,151,B
+07DA001,1,2022/02/20,151,B
+07DA001,1,2022/02/21,151,B
+07DA001,1,2022/02/22,150,B
+07DA001,1,2022/02/23,150,B
+07DA001,1,2022/02/24,150,B
+07DA001,1,2022/02/25,150,B
+07DA001,1,2022/02/26,150,B
+07DA001,1,2022/02/27,150,B
+07DA001,1,2022/02/28,150,B
+07DA001,1,2022/03/01,150,B
+07DA001,1,2022/03/02,150,B
+07DA001,1,2022/03/03,150,B
+07DA001,1,2022/03/04,150,B
+07DA001,1,2022/03/05,151,B
+07DA001,1,2022/03/06,151,B
+07DA001,1,2022/03/07,152,B
+07DA001,1,2022/03/08,153,B
+07DA001,1,2022/03/09,155,B
+07DA001,1,2022/03/10,157,B
+07DA001,1,2022/03/11,159,B
+07DA001,1,2022/03/12,161,B
+07DA001,1,2022/03/13,163,B
+07DA001,1,2022/03/14,165,B
+07DA001,1,2022/03/15,168,B
+07DA001,1,2022/03/16,170,B
+07DA001,1,2022/03/17,173,B
+07DA001,1,2022/03/18,175,B
+07DA001,1,2022/03/19,178,B
+07DA001,1,2022/03/20,180,B
+07DA001,1,2022/03/21,183,B
+07DA001,1,2022/03/22,185,B
+07DA001,1,2022/03/23,188,B
+07DA001,1,2022/03/24,190,B
+07DA001,1,2022/03/25,191,B
+07DA001,1,2022/03/26,192,B
+07DA001,1,2022/03/27,193,B
+07DA001,1,2022/03/28,197,B
+07DA001,1,2022/03/29,203,B
+07DA001,1,2022/03/30,209,B
+07DA001,1,2022/03/31,215,B
+07DA001,1,2022/04/01,222,B
+07DA001,1,2022/04/02,229,B
+07DA001,1,2022/04/03,243,B
+07DA001,1,2022/04/04,258,B
+07DA001,1,2022/04/05,272,B
+07DA001,1,2022/04/06,287,B
+07DA001,1,2022/04/07,302,B
+07DA001,1,2022/04/08,317,B
+07DA001,1,2022/04/09,331,B
+07DA001,1,2022/04/10,346,B
+07DA001,1,2022/04/11,361,B
+07DA001,1,2022/04/12,375,B
+07DA001,1,2022/04/13,389,B
+07DA001,1,2022/04/14,398,B
+07DA001,1,2022/04/15,406,B
+07DA001,1,2022/04/16,414,B
+07DA001,1,2022/04/17,422,B
+07DA001,1,2022/04/18,430,B
+07DA001,1,2022/04/19,438,B
+07DA001,1,2022/04/20,447,B
+07DA001,1,2022/04/21,474,B
+07DA001,1,2022/04/22,510,B
+07DA001,1,2022/04/23,546,B
+07DA001,1,2022/04/24,582,B
+07DA001,1,2022/04/25,614,B
+07DA001,1,2022/04/26,627,B
+07DA001,1,2022/04/27,638,B
+07DA001,1,2022/04/28,650,B
+07DA001,1,2022/04/29,669,
+07DA001,1,2022/04/30,713,
+07DA001,1,2022/05/01,796,
+07DA001,1,2022/05/02,901,
+07DA001,1,2022/05/03,1000,
+07DA001,1,2022/05/04,1040,
+07DA001,1,2022/05/05,1070,
+07DA001,1,2022/05/06,1130,
+07DA001,1,2022/05/07,1230,
+07DA001,1,2022/05/08,1360,
+07DA001,1,2022/05/09,1460,
+07DA001,1,2022/05/10,1530,
+07DA001,1,2022/05/11,1540,
+07DA001,1,2022/05/12,1480,
+07DA001,1,2022/05/13,1420,
+07DA001,1,2022/05/14,1350,
+07DA001,1,2022/05/15,1290,
+07DA001,1,2022/05/16,1240,
+07DA001,1,2022/05/17,1210,
+07DA001,1,2022/05/18,1200,
+07DA001,1,2022/05/19,1200,
+07DA001,1,2022/05/20,1180,
+07DA001,1,2022/05/21,1160,
+07DA001,1,2022/05/22,1160,
+07DA001,1,2022/05/23,1130,
+07DA001,1,2022/05/24,1100,
+07DA001,1,2022/05/25,1100,
+07DA001,1,2022/05/26,1090,
+07DA001,1,2022/05/27,1060,
+07DA001,1,2022/05/28,1030,
+07DA001,1,2022/05/29,1030,
+07DA001,1,2022/05/30,1030,
+07DA001,1,2022/05/31,1030,
+07DA001,1,2022/06/01,1010,
+07DA001,1,2022/06/02,986,
+07DA001,1,2022/06/03,980,
+07DA001,1,2022/06/04,967,
+07DA001,1,2022/06/05,939,
+07DA001,1,2022/06/06,899,
+07DA001,1,2022/06/07,867,
+07DA001,1,2022/06/08,854,
+07DA001,1,2022/06/09,878,
+07DA001,1,2022/06/10,925,
+07DA001,1,2022/06/11,1030,
+07DA001,1,2022/06/12,1140,
+07DA001,1,2022/06/13,1240,
+07DA001,1,2022/06/14,1250,
+07DA001,1,2022/06/15,1250,
+07DA001,1,2022/06/16,1260,
+07DA001,1,2022/06/17,1270,
+07DA001,1,2022/06/18,1270,
+07DA001,1,2022/06/19,1280,
+07DA001,1,2022/06/20,1450,
+07DA001,1,2022/06/21,1640,
+07DA001,1,2022/06/22,1730,
+07DA001,1,2022/06/23,1740,
+07DA001,1,2022/06/24,1670,
+07DA001,1,2022/06/25,1600,
+07DA001,1,2022/06/26,1570,
+07DA001,1,2022/06/27,1650,
+07DA001,1,2022/06/28,1980,
+07DA001,1,2022/06/29,2010,
+07DA001,1,2022/06/30,1790,
+07DA001,1,2022/07/01,1670,
+07DA001,1,2022/07/02,1800,
+07DA001,1,2022/07/03,2520,
+07DA001,1,2022/07/04,2600,
+07DA001,1,2022/07/05,2330,
+07DA001,1,2022/07/06,2190,
+07DA001,1,2022/07/07,2110,
+07DA001,1,2022/07/08,2010,
+07DA001,1,2022/07/09,2050,
+07DA001,1,2022/07/10,2110,
+07DA001,1,2022/07/11,2050,
+07DA001,1,2022/07/12,1950,
+07DA001,1,2022/07/13,1850,
+07DA001,1,2022/07/14,1720,
+07DA001,1,2022/07/15,1600,
+07DA001,1,2022/07/16,1490,
+07DA001,1,2022/07/17,1420,
+07DA001,1,2022/07/18,1430,
+07DA001,1,2022/07/19,1390,
+07DA001,1,2022/07/20,1290,
+07DA001,1,2022/07/21,1220,
+07DA001,1,2022/07/22,1200,
+07DA001,1,2022/07/23,1160,
+07DA001,1,2022/07/24,1110,
+07DA001,1,2022/07/25,1080,
+07DA001,1,2022/07/26,1050,
+07DA001,1,2022/07/27,1000,
+07DA001,1,2022/07/28,977,
+07DA001,1,2022/07/29,947,
+07DA001,1,2022/07/30,920,
+07DA001,1,2022/07/31,892,
+07DA001,1,2022/08/01,872,
+07DA001,1,2022/08/02,876,
+07DA001,1,2022/08/03,869,
+07DA001,1,2022/08/04,891,
+07DA001,1,2022/08/05,966,
+07DA001,1,2022/08/06,998,
+07DA001,1,2022/08/07,1050,
+07DA001,1,2022/08/08,1110,
+07DA001,1,2022/08/09,1120,
+07DA001,1,2022/08/10,1170,
+07DA001,1,2022/08/11,1130,
+07DA001,1,2022/08/12,1030,
+07DA001,1,2022/08/13,954,
+07DA001,1,2022/08/14,917,
+07DA001,1,2022/08/15,902,
+07DA001,1,2022/08/16,871,
+07DA001,1,2022/08/17,857,
+07DA001,1,2022/08/18,843,
+07DA001,1,2022/08/19,819,
+07DA001,1,2022/08/20,793,
+07DA001,1,2022/08/21,755,
+07DA001,1,2022/08/22,718,
+07DA001,1,2022/08/23,698,
+07DA001,1,2022/08/24,683,
+07DA001,1,2022/08/25,672,
+07DA001,1,2022/08/26,664,
+07DA001,1,2022/08/27,678,
+07DA001,1,2022/08/28,716,
+07DA001,1,2022/08/29,717,
+07DA001,1,2022/08/30,712,
+07DA001,1,2022/08/31,680,
+07DA001,1,2022/09/01,656,
+07DA001,1,2022/09/02,645,
+07DA001,1,2022/09/03,672,
+07DA001,1,2022/09/04,643,
+07DA001,1,2022/09/05,596,
+07DA001,1,2022/09/06,576,
+07DA001,1,2022/09/07,586,
+07DA001,1,2022/09/08,600,
+07DA001,1,2022/09/09,588,
+07DA001,1,2022/09/10,572,
+07DA001,1,2022/09/11,564,
+07DA001,1,2022/09/12,561,
+07DA001,1,2022/09/13,528,
+07DA001,1,2022/09/14,492,
+07DA001,1,2022/09/15,480,
+07DA001,1,2022/09/16,462,
+07DA001,1,2022/09/17,437,
+07DA001,1,2022/09/18,427,
+07DA001,1,2022/09/19,436,
+07DA001,1,2022/09/20,436,
+07DA001,1,2022/09/21,437,
+07DA001,1,2022/09/22,441,
+07DA001,1,2022/09/23,469,
+07DA001,1,2022/09/24,485,
+07DA001,1,2022/09/25,479,
+07DA001,1,2022/09/26,463,
+07DA001,1,2022/09/27,447,
+07DA001,1,2022/09/28,434,
+07DA001,1,2022/09/29,417,
+07DA001,1,2022/09/30,401,
+07DA001,1,2022/10/01,390,
+07DA001,1,2022/10/02,382,
+07DA001,1,2022/10/03,373,
+07DA001,1,2022/10/04,368,
+07DA001,1,2022/10/05,366,
+07DA001,1,2022/10/06,364,
+07DA001,1,2022/10/07,361,
+07DA001,1,2022/10/08,354,
+07DA001,1,2022/10/09,348,
+07DA001,1,2022/10/10,343,
+07DA001,1,2022/10/11,341,
+07DA001,1,2022/10/12,339,
+07DA001,1,2022/10/13,338,
+07DA001,1,2022/10/14,341,
+07DA001,1,2022/10/15,338,
+07DA001,1,2022/10/16,330,
+07DA001,1,2022/10/17,322,
+07DA001,1,2022/10/18,313,
+07DA001,1,2022/10/19,307,
+07DA001,1,2022/10/20,304,
+07DA001,1,2022/10/21,293,
+07DA001,1,2022/10/22,287,
+07DA001,1,2022/10/23,285,
+07DA001,1,2022/10/24,284,
+07DA001,1,2022/10/25,285,
+07DA001,1,2022/10/26,280,
+07DA001,1,2022/10/27,276,
+07DA001,1,2022/10/28,273,
+07DA001,1,2022/10/29,268,
+07DA001,1,2022/10/30,270,
+07DA001,1,2022/10/31,270,
+07DA001,1,2022/11/01,266,
+07DA001,1,2022/11/02,269,
+07DA001,1,2022/11/03,259,B
+07DA001,1,2022/11/04,246,B
+07DA001,1,2022/11/05,249,B
+07DA001,1,2022/11/06,260,B
+07DA001,1,2022/11/07,261,B
+07DA001,1,2022/11/08,259,B
+07DA001,1,2022/11/09,260,B
+07DA001,1,2022/11/10,261,B
+07DA001,1,2022/11/11,257,B
+07DA001,1,2022/11/12,251,B
+07DA001,1,2022/11/13,246,B
+07DA001,1,2022/11/14,241,B
+07DA001,1,2022/11/15,236,B
+07DA001,1,2022/11/16,230,B
+07DA001,1,2022/11/17,225,B
+07DA001,1,2022/11/18,220,B
+07DA001,1,2022/11/19,221,B
+07DA001,1,2022/11/20,225,B
+07DA001,1,2022/11/21,222,B
+07DA001,1,2022/11/22,219,B
+07DA001,1,2022/11/23,220,B
+07DA001,1,2022/11/24,223,B
+07DA001,1,2022/11/25,222,B
+07DA001,1,2022/11/26,216,B
+07DA001,1,2022/11/27,210,B
+07DA001,1,2022/11/28,204,B
+07DA001,1,2022/11/29,199,B
+07DA001,1,2022/11/30,193,B
+07DA001,1,2022/12/01,187,B
+07DA001,1,2022/12/02,181,B
+07DA001,1,2022/12/03,175,B
+07DA001,1,2022/12/04,170,B
+07DA001,1,2022/12/05,164,B
+07DA001,1,2022/12/06,158,B
+07DA001,1,2022/12/07,152,B
+07DA001,1,2022/12/08,147,B
+07DA001,1,2022/12/09,141,B
+07DA001,1,2022/12/10,135,B
+07DA001,1,2022/12/11,129,B
+07DA001,1,2022/12/12,123,B
+07DA001,1,2022/12/13,118,B
+07DA001,1,2022/12/14,118,B
+07DA001,1,2022/12/15,119,B
+07DA001,1,2022/12/16,123,B
+07DA001,1,2022/12/17,133,B
+07DA001,1,2022/12/18,139,B
+07DA001,1,2022/12/19,144,B
+07DA001,1,2022/12/20,148,B
+07DA001,1,2022/12/21,149,B
+07DA001,1,2022/12/22,151,B
+07DA001,1,2022/12/23,153,B
+07DA001,1,2022/12/24,154,B
+07DA001,1,2022/12/25,155,B
+07DA001,1,2022/12/26,154,B
+07DA001,1,2022/12/27,154,B
+07DA001,1,2022/12/28,157,B
+07DA001,1,2022/12/29,157,B
+07DA001,1,2022/12/30,154,B
+07DA001,1,2022/12/31,152,B
+07DA001,1,2023/01/01,149,B
+07DA001,1,2023/01/02,148,B
+07DA001,1,2023/01/03,147,B
+07DA001,1,2023/01/04,148,B
+07DA001,1,2023/01/05,150,B
+07DA001,1,2023/01/06,152,B
+07DA001,1,2023/01/07,154,B
+07DA001,1,2023/01/08,155,B
+07DA001,1,2023/01/09,156,B
+07DA001,1,2023/01/10,156,B
+07DA001,1,2023/01/11,156,B
+07DA001,1,2023/01/12,157,B
+07DA001,1,2023/01/13,157,B
+07DA001,1,2023/01/14,157,B
+07DA001,1,2023/01/15,157,B
+07DA001,1,2023/01/16,158,B
+07DA001,1,2023/01/17,158,B
+07DA001,1,2023/01/18,158,B
+07DA001,1,2023/01/19,159,B
+07DA001,1,2023/01/20,159,B
+07DA001,1,2023/01/21,159,B
+07DA001,1,2023/01/22,159,B
+07DA001,1,2023/01/23,159,B
+07DA001,1,2023/01/24,159,B
+07DA001,1,2023/01/25,159,B
+07DA001,1,2023/01/26,160,B
+07DA001,1,2023/01/27,160,B
+07DA001,1,2023/01/28,159,B
+07DA001,1,2023/01/29,157,B
+07DA001,1,2023/01/30,156,B
+07DA001,1,2023/01/31,154,B
+07DA001,1,2023/02/01,153,B
+07DA001,1,2023/02/02,152,B
+07DA001,1,2023/02/03,153,B
+07DA001,1,2023/02/04,153,B
+07DA001,1,2023/02/05,153,B
+07DA001,1,2023/02/06,153,B
+07DA001,1,2023/02/07,153,B
+07DA001,1,2023/02/08,154,B
+07DA001,1,2023/02/09,154,B
+07DA001,1,2023/02/10,154,B
+07DA001,1,2023/02/11,154,B
+07DA001,1,2023/02/12,154,B
+07DA001,1,2023/02/13,154,B
+07DA001,1,2023/02/14,155,B
+07DA001,1,2023/02/15,155,B
+07DA001,1,2023/02/16,154,B
+07DA001,1,2023/02/17,154,B
+07DA001,1,2023/02/18,153,B
+07DA001,1,2023/02/19,152,B
+07DA001,1,2023/02/20,151,B
+07DA001,1,2023/02/21,150,B
+07DA001,1,2023/02/22,149,B
+07DA001,1,2023/02/23,147,B
+07DA001,1,2023/02/24,145,B
+07DA001,1,2023/02/25,143,B
+07DA001,1,2023/02/26,141,B
+07DA001,1,2023/02/27,139,B
+07DA001,1,2023/02/28,137,B
+07DA001,1,2023/03/01,135,B
+07DA001,1,2023/03/02,133,B
+07DA001,1,2023/03/03,131,B
+07DA001,1,2023/03/04,129,B
+07DA001,1,2023/03/05,127,B
+07DA001,1,2023/03/06,125,B
+07DA001,1,2023/03/07,123,B
+07DA001,1,2023/03/08,122,B
+07DA001,1,2023/03/09,122,B
+07DA001,1,2023/03/10,123,B
+07DA001,1,2023/03/11,123,B
+07DA001,1,2023/03/12,123,B
+07DA001,1,2023/03/13,123,B
+07DA001,1,2023/03/14,123,B
+07DA001,1,2023/03/15,123,B
+07DA001,1,2023/03/16,124,B
+07DA001,1,2023/03/17,124,B
+07DA001,1,2023/03/18,124,B
+07DA001,1,2023/03/19,124,B
+07DA001,1,2023/03/20,125,B
+07DA001,1,2023/03/21,126,B
+07DA001,1,2023/03/22,128,B
+07DA001,1,2023/03/23,129,B
+07DA001,1,2023/03/24,131,B
+07DA001,1,2023/03/25,132,B
+07DA001,1,2023/03/26,133,B
+07DA001,1,2023/03/27,135,B
+07DA001,1,2023/03/28,136,B
+07DA001,1,2023/03/29,138,B
+07DA001,1,2023/03/30,139,B
+07DA001,1,2023/03/31,141,B
+07DA001,1,2023/04/01,142,B
+07DA001,1,2023/04/02,144,B
+07DA001,1,2023/04/03,145,B
+07DA001,1,2023/04/04,146,B
+07DA001,1,2023/04/05,148,B
+07DA001,1,2023/04/06,149,B
+07DA001,1,2023/04/07,155,B
+07DA001,1,2023/04/08,165,B
+07DA001,1,2023/04/09,175,B
+07DA001,1,2023/04/10,185,B
+07DA001,1,2023/04/11,195,B
+07DA001,1,2023/04/12,205,B
+07DA001,1,2023/04/13,215,B
+07DA001,1,2023/04/14,225,B
+07DA001,1,2023/04/15,235,B
+07DA001,1,2023/04/16,245,B
+07DA001,1,2023/04/17,269,B
+07DA001,1,2023/04/18,306,B
+07DA001,1,2023/04/19,344,B
+07DA001,1,2023/04/20,382,B
+07DA001,1,2023/04/21,419,B
+07DA001,1,2023/04/22,457,B
+07DA001,1,2023/04/23,494,B
+07DA001,1,2023/04/24,537,B
+07DA001,1,2023/04/25,600,B
+07DA001,1,2023/04/26,725,
+07DA001,1,2023/04/27,620,
+07DA001,1,2023/04/28,544,
+07DA001,1,2023/04/29,519,
+07DA001,1,2023/04/30,500,
+07DA001,1,2023/05/01,479,
+07DA001,1,2023/05/02,472,
+07DA001,1,2023/05/03,478,
+07DA001,1,2023/05/04,474,
+07DA001,1,2023/05/05,475,
+07DA001,1,2023/05/06,490,
+07DA001,1,2023/05/07,510,
+07DA001,1,2023/05/08,524,
+07DA001,1,2023/05/09,546,
+07DA001,1,2023/05/10,591,
+07DA001,1,2023/05/11,685,
+07DA001,1,2023/05/12,782,
+07DA001,1,2023/05/13,790,
+07DA001,1,2023/05/14,760,
+07DA001,1,2023/05/15,719,
+07DA001,1,2023/05/16,673,
+07DA001,1,2023/05/17,642,
+07DA001,1,2023/05/18,634,
+07DA001,1,2023/05/19,632,
+07DA001,1,2023/05/20,652,
+07DA001,1,2023/05/21,717,
+07DA001,1,2023/05/22,801,
+07DA001,1,2023/05/23,821,
+07DA001,1,2023/05/24,807,
+07DA001,1,2023/05/25,811,
+07DA001,1,2023/05/26,871,
+07DA001,1,2023/05/27,984,
+07DA001,1,2023/05/28,1200,
+07DA001,1,2023/05/29,1190,
+07DA001,1,2023/05/30,1040,
+07DA001,1,2023/05/31,914,
+07DA001,1,2023/06/01,836,
+07DA001,1,2023/06/02,808,
+07DA001,1,2023/06/03,786,
+07DA001,1,2023/06/04,788,
+07DA001,1,2023/06/05,783,
+07DA001,1,2023/06/06,790,
+07DA001,1,2023/06/07,785,
+07DA001,1,2023/06/08,764,
+07DA001,1,2023/06/09,758,
+07DA001,1,2023/06/10,737,
+07DA001,1,2023/06/11,725,
+07DA001,1,2023/06/12,707,
+07DA001,1,2023/06/13,670,
+07DA001,1,2023/06/14,696,
+07DA001,1,2023/06/15,838,
+07DA001,1,2023/06/16,1050,
+07DA001,1,2023/06/17,1100,
+07DA001,1,2023/06/18,1090,
+07DA001,1,2023/06/19,1090,
+07DA001,1,2023/06/20,1250,
+07DA001,1,2023/06/21,1470,
+07DA001,1,2023/06/22,2000,
+07DA001,1,2023/06/23,3690,
+07DA001,1,2023/06/24,4470,
+07DA001,1,2023/06/25,4610,
+07DA001,1,2023/06/26,3400,
+07DA001,1,2023/06/27,2680,
+07DA001,1,2023/06/28,2520,
+07DA001,1,2023/06/29,2430,
+07DA001,1,2023/06/30,2270,
+07DA001,1,2023/07/01,2090,
+07DA001,1,2023/07/02,1970,
+07DA001,1,2023/07/03,1880,
+07DA001,1,2023/07/04,1790,
+07DA001,1,2023/07/05,1710,
+07DA001,1,2023/07/06,1620,
+07DA001,1,2023/07/07,1530,
+07DA001,1,2023/07/08,1430,
+07DA001,1,2023/07/09,1310,
+07DA001,1,2023/07/10,1200,
+07DA001,1,2023/07/11,1110,
+07DA001,1,2023/07/12,1060,
+07DA001,1,2023/07/13,1010,
+07DA001,1,2023/07/14,969,
+07DA001,1,2023/07/15,940,
+07DA001,1,2023/07/16,931,
+07DA001,1,2023/07/17,931,
+07DA001,1,2023/07/18,938,
+07DA001,1,2023/07/19,943,
+07DA001,1,2023/07/20,967,
+07DA001,1,2023/07/21,990,
+07DA001,1,2023/07/22,1030,
+07DA001,1,2023/07/23,1030,
+07DA001,1,2023/07/24,978,
+07DA001,1,2023/07/25,934,
+07DA001,1,2023/07/26,950,
+07DA001,1,2023/07/27,1030,
+07DA001,1,2023/07/28,1130,
+07DA001,1,2023/07/29,1200,
+07DA001,1,2023/07/30,1430,
+07DA001,1,2023/07/31,1700,
+07DA001,1,2023/08/01,1520,
+07DA001,1,2023/08/02,1330,
+07DA001,1,2023/08/03,1240,
+07DA001,1,2023/08/04,1160,
+07DA001,1,2023/08/05,1110,
+07DA001,1,2023/08/06,1080,
+07DA001,1,2023/08/07,1100,
+07DA001,1,2023/08/08,1080,
+07DA001,1,2023/08/09,1010,
+07DA001,1,2023/08/10,967,
+07DA001,1,2023/08/11,967,
+07DA001,1,2023/08/12,1010,
+07DA001,1,2023/08/13,1080,
+07DA001,1,2023/08/14,1150,
+07DA001,1,2023/08/15,1130,
+07DA001,1,2023/08/16,1070,
+07DA001,1,2023/08/17,999,
+07DA001,1,2023/08/18,924,
+07DA001,1,2023/08/19,859,
+07DA001,1,2023/08/20,822,
+07DA001,1,2023/08/21,803,
+07DA001,1,2023/08/22,793,
+07DA001,1,2023/08/23,792,
+07DA001,1,2023/08/24,836,
+07DA001,1,2023/08/25,945,
+07DA001,1,2023/08/26,899,
+07DA001,1,2023/08/27,902,
+07DA001,1,2023/08/28,1170,
+07DA001,1,2023/08/29,1290,
+07DA001,1,2023/08/30,1260,
+07DA001,1,2023/08/31,1170,
+07DA001,1,2023/09/01,1050,
+07DA001,1,2023/09/02,966,
+07DA001,1,2023/09/03,895,
+07DA001,1,2023/09/04,837,
+07DA001,1,2023/09/05,790,
+07DA001,1,2023/09/06,771,
+07DA001,1,2023/09/07,759,
+07DA001,1,2023/09/08,734,
+07DA001,1,2023/09/09,706,
+07DA001,1,2023/09/10,688,
+07DA001,1,2023/09/11,663,
+07DA001,1,2023/09/12,625,
+07DA001,1,2023/09/13,603,
+07DA001,1,2023/09/14,584,
+07DA001,1,2023/09/15,557,
+07DA001,1,2023/09/16,539,
+07DA001,1,2023/09/17,523,
+07DA001,1,2023/09/18,512,
+07DA001,1,2023/09/19,504,A
+07DA001,1,2023/09/20,505,
+07DA001,1,2023/09/21,491,
+07DA001,1,2023/09/22,474,
+07DA001,1,2023/09/23,457,
+07DA001,1,2023/09/24,447,
+07DA001,1,2023/09/25,441,
+07DA001,1,2023/09/26,435,
+07DA001,1,2023/09/27,427,
+07DA001,1,2023/09/28,415,
+07DA001,1,2023/09/29,408,
+07DA001,1,2023/09/30,394,
+07DA001,1,2023/10/01,388,
+07DA001,1,2023/10/02,393,
+07DA001,1,2023/10/03,397,
+07DA001,1,2023/10/04,397,
+07DA001,1,2023/10/05,406,
+07DA001,1,2023/10/06,404,
+07DA001,1,2023/10/07,412,
+07DA001,1,2023/10/08,419,
+07DA001,1,2023/10/09,416,
+07DA001,1,2023/10/10,403,
+07DA001,1,2023/10/11,392,
+07DA001,1,2023/10/12,385,
+07DA001,1,2023/10/13,377,
+07DA001,1,2023/10/14,365,
+07DA001,1,2023/10/15,359,
+07DA001,1,2023/10/16,353,
+07DA001,1,2023/10/17,352,
+07DA001,1,2023/10/18,358,
+07DA001,1,2023/10/19,379,
+07DA001,1,2023/10/20,393,
+07DA001,1,2023/10/21,391,
+07DA001,1,2023/10/22,380,
+07DA001,1,2023/10/23,368,
+07DA001,1,2023/10/24,357,
+07DA001,1,2023/10/25,351,
+07DA001,1,2023/10/26,339,
+07DA001,1,2023/10/27,330,
+07DA001,1,2023/10/28,342,
+07DA001,1,2023/10/29,357,
+07DA001,1,2023/10/30,339,B
+07DA001,1,2023/10/31,317,B
+07DA001,1,2023/11/01,296,B
+07DA001,1,2023/11/02,277,B
+07DA001,1,2023/11/03,287,B
+07DA001,1,2023/11/04,282,B
+07DA001,1,2023/11/05,300,B
+07DA001,1,2023/11/06,299,B
+07DA001,1,2023/11/07,300,B
+07DA001,1,2023/11/08,318,B
+07DA001,1,2023/11/09,302,B
+07DA001,1,2023/11/10,297,B
+07DA001,1,2023/11/11,275,B
+07DA001,1,2023/11/12,262,B
+07DA001,1,2023/11/13,263,B
+07DA001,1,2023/11/14,253,B
+07DA001,1,2023/11/15,248,B
+07DA001,1,2023/11/16,240,B
+07DA001,1,2023/11/17,235,B
+07DA001,1,2023/11/18,224,B
+07DA001,1,2023/11/19,222,B
+07DA001,1,2023/11/20,219,B
+07DA001,1,2023/11/21,217,B
+07DA001,1,2023/11/22,215,B
+07DA001,1,2023/11/23,213,B
+07DA001,1,2023/11/24,211,B
+07DA001,1,2023/11/25,209,B
+07DA001,1,2023/11/26,207,B
+07DA001,1,2023/11/27,205,B
+07DA001,1,2023/11/28,203,B
+07DA001,1,2023/11/29,201,B
+07DA001,1,2023/11/30,198,B
+07DA001,1,2023/12/01,195,B
+07DA001,1,2023/12/02,192,B
+07DA001,1,2023/12/03,188,B
+07DA001,1,2023/12/04,185,B
+07DA001,1,2023/12/05,182,B
+07DA001,1,2023/12/06,178,B
+07DA001,1,2023/12/07,175,B
+07DA001,1,2023/12/08,172,B
+07DA001,1,2023/12/09,168,B
+07DA001,1,2023/12/10,165,B
+07DA001,1,2023/12/11,162,B
+07DA001,1,2023/12/12,173,B
+07DA001,1,2023/12/13,191,B
+07DA001,1,2023/12/14,188,B
+07DA001,1,2023/12/15,180,B
+07DA001,1,2023/12/16,171,B
+07DA001,1,2023/12/17,170,B
+07DA001,1,2023/12/18,173,B
+07DA001,1,2023/12/19,175,B
+07DA001,1,2023/12/20,174,B
+07DA001,1,2023/12/21,173,B
+07DA001,1,2023/12/22,172,B
+07DA001,1,2023/12/23,171,B
+07DA001,1,2023/12/24,171,B
+07DA001,1,2023/12/25,175,B
+07DA001,1,2023/12/26,180,B
+07DA001,1,2023/12/27,180,B
+07DA001,1,2023/12/28,180,B
+07DA001,1,2023/12/29,180,B
+07DA001,1,2023/12/30,180,B
+07DA001,1,2023/12/31,180,B
+07DA001,1,2024/01/01,177,B
+07DA001,1,2024/01/02,174,B
+07DA001,1,2024/01/03,172,B
+07DA001,1,2024/01/04,169,B
+07DA001,1,2024/01/05,166,B
+07DA001,1,2024/01/06,163,B
+07DA001,1,2024/01/07,161,B
+07DA001,1,2024/01/08,158,B
+07DA001,1,2024/01/09,156,B
+07DA001,1,2024/01/10,159,B
+07DA001,1,2024/01/11,164,B
+07DA001,1,2024/01/12,163,B
+07DA001,1,2024/01/13,160,B
+07DA001,1,2024/01/14,158,B
+07DA001,1,2024/01/15,155,B
+07DA001,1,2024/01/16,152,B
+07DA001,1,2024/01/17,150,B
+07DA001,1,2024/01/18,147,B
+07DA001,1,2024/01/19,144,B
+07DA001,1,2024/01/20,142,B
+07DA001,1,2024/01/21,139,B
+07DA001,1,2024/01/22,138,B
+07DA001,1,2024/01/23,136,B
+07DA001,1,2024/01/24,135,B
+07DA001,1,2024/01/25,134,B
+07DA001,1,2024/01/26,134,B
+07DA001,1,2024/01/27,134,B
+07DA001,1,2024/01/28,134,B
+07DA001,1,2024/01/29,134,B
+07DA001,1,2024/01/30,136,B
+07DA001,1,2024/01/31,137,B
+07DA001,1,2024/02/01,138,B
+07DA001,1,2024/02/02,139,B
+07DA001,1,2024/02/03,140,B
+07DA001,1,2024/02/04,141,B
+07DA001,1,2024/02/05,143,B
+07DA001,1,2024/02/06,144,B
+07DA001,1,2024/02/07,145,B
+07DA001,1,2024/02/08,146,B
+07DA001,1,2024/02/09,147,B
+07DA001,1,2024/02/10,149,B
+07DA001,1,2024/02/11,150,B
+07DA001,1,2024/02/12,151,B
+07DA001,1,2024/02/13,151,B
+07DA001,1,2024/02/14,150,B
+07DA001,1,2024/02/15,145,B
+07DA001,1,2024/02/16,140,B
+07DA001,1,2024/02/17,136,B
+07DA001,1,2024/02/18,135,B
+07DA001,1,2024/02/19,134,B
+07DA001,1,2024/02/20,132,B
+07DA001,1,2024/02/21,130,B
+07DA001,1,2024/02/22,127,B
+07DA001,1,2024/02/23,128,B
+07DA001,1,2024/02/24,130,B
+07DA001,1,2024/02/25,131,B
+07DA001,1,2024/02/26,126,B
+07DA001,1,2024/02/27,120,B
+07DA001,1,2024/02/28,115,B
+07DA001,1,2024/02/29,109,B
+07DA001,1,2024/03/01,104,B
+07DA001,1,2024/03/02,101,B
+07DA001,1,2024/03/03,99.1,B
+07DA001,1,2024/03/04,98.2,B
+07DA001,1,2024/03/05,98.2,B
+07DA001,1,2024/03/06,98.2,B
+07DA001,1,2024/03/07,98.2,B
+07DA001,1,2024/03/08,98.2,B
+07DA001,1,2024/03/09,98.5,B
+07DA001,1,2024/03/10,100,B
+07DA001,1,2024/03/11,102,B
+07DA001,1,2024/03/12,104,B
+07DA001,1,2024/03/13,107,B
+07DA001,1,2024/03/14,111,B
+07DA001,1,2024/03/15,114,B
+07DA001,1,2024/03/16,117,B
+07DA001,1,2024/03/17,121,B
+07DA001,1,2024/03/18,124,B
+07DA001,1,2024/03/19,128,B
+07DA001,1,2024/03/20,131,B
+07DA001,1,2024/03/21,135,B
+07DA001,1,2024/03/22,138,B
+07DA001,1,2024/03/23,142,B
+07DA001,1,2024/03/24,151,B
+07DA001,1,2024/03/25,161,B
+07DA001,1,2024/03/26,172,B
+07DA001,1,2024/03/27,182,B
+07DA001,1,2024/03/28,192,B
+07DA001,1,2024/03/29,202,B
+07DA001,1,2024/03/30,213,B
+07DA001,1,2024/03/31,223,B
+07DA001,1,2024/04/01,233,B
+07DA001,1,2024/04/02,243,B
+07DA001,1,2024/04/03,258,B
+07DA001,1,2024/04/04,273,B
+07DA001,1,2024/04/05,289,B
+07DA001,1,2024/04/06,305,B
+07DA001,1,2024/04/07,321,B
+07DA001,1,2024/04/08,337,B
+07DA001,1,2024/04/09,353,B
+07DA001,1,2024/04/10,368,B
+07DA001,1,2024/04/11,384,B
+07DA001,1,2024/04/12,400,B
+07DA001,1,2024/04/13,416,B
+07DA001,1,2024/04/14,432,B
+07DA001,1,2024/04/15,448,B
+07DA001,1,2024/04/16,464,B
+07DA001,1,2024/04/17,484,B
+07DA001,1,2024/04/18,504,B
+07DA001,1,2024/04/19,525,B
+07DA001,1,2024/04/20,554,B
+07DA001,1,2024/04/21,701,B
+07DA001,1,2024/04/22,684,B
+07DA001,1,2024/04/23,631,B
+07DA001,1,2024/04/24,621,B
+07DA001,1,2024/04/25,640,B
+07DA001,1,2024/04/26,641,B
+07DA001,1,2024/04/27,586,E
+07DA001,1,2024/04/28,530,E
+07DA001,1,2024/04/29,474,E
+07DA001,1,2024/04/30,444,E
+07DA001,1,2024/05/01,434,E
+07DA001,1,2024/05/02,424,E
+07DA001,1,2024/05/03,418,E
+07DA001,1,2024/05/04,416,E
+07DA001,1,2024/05/05,415,E
+07DA001,1,2024/05/06,413,E
+07DA001,1,2024/05/07,413,E
+07DA001,1,2024/05/08,422,E
+07DA001,1,2024/05/09,442,
+07DA001,1,2024/05/10,484,
+07DA001,1,2024/05/11,520,
+07DA001,1,2024/05/12,518,
+07DA001,1,2024/05/13,517,
+07DA001,1,2024/05/14,531,
+07DA001,1,2024/05/15,537,
+07DA001,1,2024/05/16,530,
+07DA001,1,2024/05/17,551,
+07DA001,1,2024/05/18,593,
+07DA001,1,2024/05/19,674,
+07DA001,1,2024/05/20,763,
+07DA001,1,2024/05/21,821,
+07DA001,1,2024/05/22,836,
+07DA001,1,2024/05/23,852,
+07DA001,1,2024/05/24,866,
+07DA001,1,2024/05/25,827,
+07DA001,1,2024/05/26,790,
+07DA001,1,2024/05/27,770,
+07DA001,1,2024/05/28,782,
+07DA001,1,2024/05/29,858,
+07DA001,1,2024/05/30,854,
+07DA001,1,2024/05/31,858,
+07DA001,1,2024/06/01,912,
+07DA001,1,2024/06/02,917,
+07DA001,1,2024/06/03,886,
+07DA001,1,2024/06/04,875,
+07DA001,1,2024/06/05,924,
+07DA001,1,2024/06/06,936,
+07DA001,1,2024/06/07,968,
+07DA001,1,2024/06/08,1050,
+07DA001,1,2024/06/09,1100,
+07DA001,1,2024/06/10,1130,
+07DA001,1,2024/06/11,1150,
+07DA001,1,2024/06/12,1110,
+07DA001,1,2024/06/13,1100,
+07DA001,1,2024/06/14,1110,
+07DA001,1,2024/06/15,1140,
+07DA001,1,2024/06/16,1210,
+07DA001,1,2024/06/17,1290,
+07DA001,1,2024/06/18,1390,
+07DA001,1,2024/06/19,1360,
+07DA001,1,2024/06/20,1280,
+07DA001,1,2024/06/21,1220,
+07DA001,1,2024/06/22,1160,
+07DA001,1,2024/06/23,1100,
+07DA001,1,2024/06/24,1060,
+07DA001,1,2024/06/25,1070,A
+07DA001,1,2024/06/26,1050,
+07DA001,1,2024/06/27,1020,
+07DA001,1,2024/06/28,1010,
+07DA001,1,2024/06/29,1050,
+07DA001,1,2024/06/30,1100,
+07DA001,1,2024/07/01,1130,
+07DA001,1,2024/07/02,1230,
+07DA001,1,2024/07/03,1400,
+07DA001,1,2024/07/04,1420,
+07DA001,1,2024/07/05,1350,
+07DA001,1,2024/07/06,1290,
+07DA001,1,2024/07/07,1250,
+07DA001,1,2024/07/08,1200,
+07DA001,1,2024/07/09,1110,
+07DA001,1,2024/07/10,1020,
+07DA001,1,2024/07/11,943,
+07DA001,1,2024/07/12,896,
+07DA001,1,2024/07/13,870,
+07DA001,1,2024/07/14,866,
+07DA001,1,2024/07/15,872,
+07DA001,1,2024/07/16,871,
+07DA001,1,2024/07/17,863,
+07DA001,1,2024/07/18,830,
+07DA001,1,2024/07/19,778,
+07DA001,1,2024/07/20,729,
+07DA001,1,2024/07/21,694,
+07DA001,1,2024/07/22,670,
+07DA001,1,2024/07/23,660,
+07DA001,1,2024/07/24,655,
+07DA001,1,2024/07/25,666,
+07DA001,1,2024/07/26,697,
+07DA001,1,2024/07/27,768,
+07DA001,1,2024/07/28,877,
+07DA001,1,2024/07/29,971,
+07DA001,1,2024/07/30,1280,
+07DA001,1,2024/07/31,1320,
+07DA001,1,2024/08/01,1170,
+07DA001,1,2024/08/02,1040,
+07DA001,1,2024/08/03,927,
+07DA001,1,2024/08/04,848,
+07DA001,1,2024/08/05,790,
+07DA001,1,2024/08/06,752,
+07DA001,1,2024/08/07,721,
+07DA001,1,2024/08/08,702,
+07DA001,1,2024/08/09,687,
+07DA001,1,2024/08/10,679,
+07DA001,1,2024/08/11,693,
+07DA001,1,2024/08/12,740,
+07DA001,1,2024/08/13,730,
+07DA001,1,2024/08/14,692,
+07DA001,1,2024/08/15,639,
+07DA001,1,2024/08/16,597,
+07DA001,1,2024/08/17,579,
+07DA001,1,2024/08/18,589,
+07DA001,1,2024/08/19,577,
+07DA001,1,2024/08/20,581,
+07DA001,1,2024/08/21,583,
+07DA001,1,2024/08/22,590,
+07DA001,1,2024/08/23,604,
+07DA001,1,2024/08/24,630,
+07DA001,1,2024/08/25,680,
+07DA001,1,2024/08/26,668,
+07DA001,1,2024/08/27,634,
+07DA001,1,2024/08/28,598,
+07DA001,1,2024/08/29,579,
+07DA001,1,2024/08/30,645,
+07DA001,1,2024/08/31,752,
+07DA001,1,2024/09/01,724,
+07DA001,1,2024/09/02,661,
+07DA001,1,2024/09/03,639,
+07DA001,1,2024/09/04,610,
+07DA001,1,2024/09/05,564,
+07DA001,1,2024/09/06,535,
+07DA001,1,2024/09/07,523,
+07DA001,1,2024/09/08,516,
+07DA001,1,2024/09/09,512,
+07DA001,1,2024/09/10,502,
+07DA001,1,2024/09/11,484,
+07DA001,1,2024/09/12,467,
+07DA001,1,2024/09/13,457,
+07DA001,1,2024/09/14,449,
+07DA001,1,2024/09/15,443,
+07DA001,1,2024/09/16,435,
+07DA001,1,2024/09/17,431,
+07DA001,1,2024/09/18,414,
+07DA001,1,2024/09/19,390,
+07DA001,1,2024/09/20,377,
+07DA001,1,2024/09/21,366,
+07DA001,1,2024/09/22,357,
+07DA001,1,2024/09/23,356,
+07DA001,1,2024/09/24,347,
+07DA001,1,2024/09/25,337,
+07DA001,1,2024/09/26,337,
+07DA001,1,2024/09/27,339,
+07DA001,1,2024/09/28,340,
+07DA001,1,2024/09/29,337,
+07DA001,1,2024/09/30,325,
+07DA001,1,2024/10/01,328,
+07DA001,1,2024/10/02,386,
+07DA001,1,2024/10/03,621,
+07DA001,1,2024/10/04,569,
+07DA001,1,2024/10/05,524,
+07DA001,1,2024/10/06,484,
+07DA001,1,2024/10/07,460,
+07DA001,1,2024/10/08,429,
+07DA001,1,2024/10/09,414,
+07DA001,1,2024/10/10,403,
+07DA001,1,2024/10/11,387,
+07DA001,1,2024/10/12,375,
+07DA001,1,2024/10/13,364,
+07DA001,1,2024/10/14,355,
+07DA001,1,2024/10/15,348,
+07DA001,1,2024/10/16,357,
+07DA001,1,2024/10/17,410,
+07DA001,1,2024/10/18,404,
+07DA001,1,2024/10/19,392,
+07DA001,1,2024/10/20,384,
+07DA001,1,2024/10/21,383,
+07DA001,1,2024/10/22,376,
+07DA001,1,2024/10/23,378,
+07DA001,1,2024/10/24,394,
+07DA001,1,2024/10/25,396,
+07DA001,1,2024/10/26,390,
+07DA001,1,2024/10/27,386,
+07DA001,1,2024/10/28,408,
+07DA001,1,2024/10/29,432,
+07DA001,1,2024/10/30,408,
+07DA001,1,2024/10/31,374,
+07DA001,1,2024/11/01,360,
+07DA001,1,2024/11/02,354,
+07DA001,1,2024/11/03,356,
+07DA001,1,2024/11/04,340,B
+07DA001,1,2024/11/05,329,B
+07DA001,1,2024/11/06,329,B
+07DA001,1,2024/11/07,333,B
+07DA001,1,2024/11/08,334,B
+07DA001,1,2024/11/09,328,B
+07DA001,1,2024/11/10,306,B
+07DA001,1,2024/11/11,299,B
+07DA001,1,2024/11/12,302,B
+07DA001,1,2024/11/13,291,B
+07DA001,1,2024/11/14,278,B
+07DA001,1,2024/11/15,274,B
+07DA001,1,2024/11/16,258,B
+07DA001,1,2024/11/17,256,B
+07DA001,1,2024/11/18,254,B
+07DA001,1,2024/11/19,255,B
+07DA001,1,2024/11/20,253,B
+07DA001,1,2024/11/21,247,B
+07DA001,1,2024/11/22,241,B
+07DA001,1,2024/11/23,235,B
+07DA001,1,2024/11/24,229,B
+07DA001,1,2024/11/25,223,B
+07DA001,1,2024/11/26,217,B
+07DA001,1,2024/11/27,213,B
+07DA001,1,2024/11/28,216,B
+07DA001,1,2024/11/29,216,B
+07DA001,1,2024/11/30,214,B
+07DA001,1,2024/12/01,212,B
+07DA001,1,2024/12/02,210,B
+07DA001,1,2024/12/03,208,B
+07DA001,1,2024/12/04,207,B
+07DA001,1,2024/12/05,209,B
+07DA001,1,2024/12/06,212,B
+07DA001,1,2024/12/07,214,B
+07DA001,1,2024/12/08,216,B
+07DA001,1,2024/12/09,218,B
+07DA001,1,2024/12/10,210,B
+07DA001,1,2024/12/11,199,B
+07DA001,1,2024/12/12,188,B
+07DA001,1,2024/12/13,182,B
+07DA001,1,2024/12/14,183,B
+07DA001,1,2024/12/15,185,B
+07DA001,1,2024/12/16,186,B
+07DA001,1,2024/12/17,187,B
+07DA001,1,2024/12/18,187,B
+07DA001,1,2024/12/19,186,B
+07DA001,1,2024/12/20,185,B
+07DA001,1,2024/12/21,184,B
+07DA001,1,2024/12/22,188,B
+07DA001,1,2024/12/23,194,B
+07DA001,1,2024/12/24,195,B
+07DA001,1,2024/12/25,194,B
+07DA001,1,2024/12/26,194,B
+07DA001,1,2024/12/27,193,B
+07DA001,1,2024/12/28,192,B
+07DA001,1,2024/12/29,192,B
+07DA001,1,2024/12/30,191,B
+07DA001,1,2024/12/31,190,B
+07DA001,1,2025/01/01,189,B
+07DA001,1,2025/01/02,191,B
+07DA001,1,2025/01/03,196,B
+07DA001,1,2025/01/04,201,B
+07DA001,1,2025/01/05,203,B
+07DA001,1,2025/01/06,202,B
+07DA001,1,2025/01/07,202,B
+07DA001,1,2025/01/08,201,B
+07DA001,1,2025/01/09,198,B
+07DA001,1,2025/01/10,195,B
+07DA001,1,2025/01/11,191,B
+07DA001,1,2025/01/12,184,B
+07DA001,1,2025/01/13,176,B
+07DA001,1,2025/01/14,165,B
+07DA001,1,2025/01/15,155,B
+07DA001,1,2025/01/16,155,B
+07DA001,1,2025/01/17,157,B
+07DA001,1,2025/01/18,153,B
+07DA001,1,2025/01/19,143,B
+07DA001,1,2025/01/20,140,B
+07DA001,1,2025/01/21,140,B
+07DA001,1,2025/01/22,140,B
+07DA001,1,2025/01/23,142,B
+07DA001,1,2025/01/24,145,B
+07DA001,1,2025/01/25,149,B
+07DA001,1,2025/01/26,153,B
+07DA001,1,2025/01/27,163,B
+07DA001,1,2025/01/28,173,B
+07DA001,1,2025/01/29,179,B
+07DA001,1,2025/01/30,182,B
+07DA001,1,2025/01/31,184,B
+07DA001,1,2025/02/01,185,B
+07DA001,1,2025/02/02,184,B
+07DA001,1,2025/02/03,181,B
+07DA001,1,2025/02/04,181,B
+07DA001,1,2025/02/05,184,B
+07DA001,1,2025/02/06,188,B
+07DA001,1,2025/02/07,187,B
+07DA001,1,2025/02/08,185,B
+07DA001,1,2025/02/09,182,B
+07DA001,1,2025/02/10,181,B
+07DA001,1,2025/02/11,180,B
+07DA001,1,2025/02/12,180,B
+07DA001,1,2025/02/13,179,B
+07DA001,1,2025/02/14,177,B
+07DA001,1,2025/02/15,175,B
+07DA001,1,2025/02/16,172,B
+07DA001,1,2025/02/17,170,B
+07DA001,1,2025/02/18,166,B
+07DA001,1,2025/02/19,161,B
+07DA001,1,2025/02/20,159,B
+07DA001,1,2025/02/21,156,B
+07DA001,1,2025/02/22,153,B
+07DA001,1,2025/02/23,151,B
+07DA001,1,2025/02/24,150,B
+07DA001,1,2025/02/25,151,B
+07DA001,1,2025/02/26,151,B
+07DA001,1,2025/02/27,152,B
+07DA001,1,2025/02/28,153,B
+07DA001,1,2025/03/01,153,B
+07DA001,1,2025/03/02,153,B
+07DA001,1,2025/03/03,154,B
+07DA001,1,2025/03/04,156,B
+07DA001,1,2025/03/05,160,B
+07DA001,1,2025/03/06,168,B
+07DA001,1,2025/03/07,176,B
+07DA001,1,2025/03/08,186,B
+07DA001,1,2025/03/09,196,B
+07DA001,1,2025/03/10,206,B
+07DA001,1,2025/03/11,213,B
+07DA001,1,2025/03/12,220,B
+07DA001,1,2025/03/13,225,B
+07DA001,1,2025/03/14,228,B
+07DA001,1,2025/03/15,231,B
+07DA001,1,2025/03/16,231,B
+07DA001,1,2025/03/17,229,B
+07DA001,1,2025/03/18,228,B
+07DA001,1,2025/03/19,228,B
+07DA001,1,2025/03/20,222,B
+07DA001,1,2025/03/21,220,B
+07DA001,1,2025/03/22,219,B
+07DA001,1,2025/03/23,217,B
+07DA001,1,2025/03/24,214,B
+07DA001,1,2025/03/25,212,B
+07DA001,1,2025/03/26,210,B
+07DA001,1,2025/03/27,209,B
+07DA001,1,2025/03/28,210,B
+07DA001,1,2025/03/29,211,B
+07DA001,1,2025/03/30,214,B
+07DA001,1,2025/03/31,212,B
+07DA001,1,2025/04/01,210,B
+07DA001,1,2025/04/02,213,B
+07DA001,1,2025/04/03,219,B
+07DA001,1,2025/04/04,224,B
+07DA001,1,2025/04/05,223,B
+07DA001,1,2025/04/06,222,B
+07DA001,1,2025/04/07,224,B
+07DA001,1,2025/04/08,230,B
+07DA001,1,2025/04/09,240,B
+07DA001,1,2025/04/10,250,B
+07DA001,1,2025/04/11,270,B
+07DA001,1,2025/04/12,299,B
+07DA001,1,2025/04/13,333,B
+07DA001,1,2025/04/14,372,B
+07DA001,1,2025/04/15,444,B
+07DA001,1,2025/04/16,559,B
+07DA001,1,2025/04/17,720,B
+07DA001,1,2025/04/18,860,B
+07DA001,1,2025/04/19,913,B
+07DA001,1,2025/04/20,1000,B
+07DA001,1,2025/04/21,1370,B
+07DA001,1,2025/04/22,1540,B
+07DA001,1,2025/04/23,1420,B
+07DA001,1,2025/04/24,1240,E
+07DA001,1,2025/04/25,829,E
+07DA001,1,2025/04/26,752,E
+07DA001,1,2025/04/27,725,E
+07DA001,1,2025/04/28,697,E
+07DA001,1,2025/04/29,669,E
+07DA001,1,2025/04/30,642,E
+07DA001,1,2025/05/01,626,E
+07DA001,1,2025/05/02,625,E
+07DA001,1,2025/05/03,624,E
+07DA001,1,2025/05/04,627,E
+07DA001,1,2025/05/05,633,E
+07DA001,1,2025/05/06,638,E
+07DA001,1,2025/05/07,639,E
+07DA001,1,2025/05/08,631,
+07DA001,1,2025/05/09,629,
+07DA001,1,2025/05/10,646,
+07DA001,1,2025/05/11,651,
+07DA001,1,2025/05/12,639,
+07DA001,1,2025/05/13,608,
+07DA001,1,2025/05/14,599,
+07DA001,1,2025/05/15,609,
+07DA001,1,2025/05/16,605,
+07DA001,1,2025/05/17,590,
+07DA001,1,2025/05/18,578,
+07DA001,1,2025/05/19,699,
+07DA001,1,2025/05/20,728,
+07DA001,1,2025/05/21,747,
+07DA001,1,2025/05/22,758,
+07DA001,1,2025/05/23,735,
+07DA001,1,2025/05/24,722,
+07DA001,1,2025/05/25,720,
+07DA001,1,2025/05/26,719,
+07DA001,1,2025/05/27,719,
+07DA001,1,2025/05/28,698,
+07DA001,1,2025/05/29,674,
+07DA001,1,2025/05/30,656,
+07DA001,1,2025/05/31,642,
+07DA001,1,2025/06/01,698,
+07DA001,1,2025/06/02,847,
+07DA001,1,2025/06/03,872,
+07DA001,1,2025/06/04,1000,
+07DA001,1,2025/06/05,1100,
+07DA001,1,2025/06/06,1160,
+07DA001,1,2025/06/07,1130,
+07DA001,1,2025/06/08,989,
+07DA001,1,2025/06/09,873,
+07DA001,1,2025/06/10,783,
+07DA001,1,2025/06/11,724,
+07DA001,1,2025/06/12,705,
+07DA001,1,2025/06/13,772,
+07DA001,1,2025/06/14,815,
+07DA001,1,2025/06/15,866,
+07DA001,1,2025/06/16,915,
+07DA001,1,2025/06/17,903,
+07DA001,1,2025/06/18,914,
+07DA001,1,2025/06/19,976,
+07DA001,1,2025/06/20,982,
+07DA001,1,2025/06/21,922,
+07DA001,1,2025/06/22,863,
+07DA001,1,2025/06/23,842,
+07DA001,1,2025/06/24,819,
+07DA001,1,2025/06/25,847,
+07DA001,1,2025/06/26,974,
+07DA001,1,2025/06/27,1180,
+07DA001,1,2025/06/28,1080,
+07DA001,1,2025/06/29,1000,
+07DA001,1,2025/06/30,971,
+07DA001,1,2025/07/01,925,
+07DA001,1,2025/07/02,899,
+07DA001,1,2025/07/03,878,
+07DA001,1,2025/07/04,855,
+07DA001,1,2025/07/05,821,
+07DA001,1,2025/07/06,790,
+07DA001,1,2025/07/07,777,
+07DA001,1,2025/07/08,792,
+07DA001,1,2025/07/09,816,
+07DA001,1,2025/07/10,802,
+07DA001,1,2025/07/11,747,
+07DA001,1,2025/07/12,722,
+07DA001,1,2025/07/13,709,
+07DA001,1,2025/07/14,684,
+07DA001,1,2025/07/15,664,
+07DA001,1,2025/07/16,696,
+07DA001,1,2025/07/17,670,
+07DA001,1,2025/07/18,622,
+07DA001,1,2025/07/19,601,
+07DA001,1,2025/07/20,639,
+07DA001,1,2025/07/21,706,
+07DA001,1,2025/07/22,690,
+07DA001,1,2025/07/23,654,
+07DA001,1,2025/07/24,645,
+07DA001,1,2025/07/25,666,
+07DA001,1,2025/07/26,694,
+07DA001,1,2025/07/27,686,
+07DA001,1,2025/07/28,732,
+07DA001,1,2025/07/29,772,
+07DA001,1,2025/07/30,723,
+07DA001,1,2025/07/31,720,
+07DA001,1,2025/08/01,764,
+07DA001,1,2025/08/02,742,
+07DA001,1,2025/08/03,719,
+07DA001,1,2025/08/04,701,
+07DA001,1,2025/08/05,667,
+07DA001,1,2025/08/06,657,
+07DA001,1,2025/08/07,667,
+07DA001,1,2025/08/08,683,
+07DA001,1,2025/08/09,706,
+07DA001,1,2025/08/10,695,
+07DA001,1,2025/08/11,687,
+07DA001,1,2025/08/12,720,
+07DA001,1,2025/08/13,783,
+07DA001,1,2025/08/14,883,
+07DA001,1,2025/08/15,841,
+07DA001,1,2025/08/16,785,
+07DA001,1,2025/08/17,779,
+07DA001,1,2025/08/18,785,
+07DA001,1,2025/08/19,906,
+07DA001,1,2025/08/20,991,
+07DA001,1,2025/08/21,916,
+07DA001,1,2025/08/22,902,
+07DA001,1,2025/08/23,906,
+07DA001,1,2025/08/24,844,
+07DA001,1,2025/08/25,785,
+07DA001,1,2025/08/26,742,
+07DA001,1,2025/08/27,707,
+07DA001,1,2025/08/28,663,
+07DA001,1,2025/08/29,622,
+07DA001,1,2025/08/30,589,
+07DA001,1,2025/08/31,569,
+07DA001,1,2025/09/01,550,
+07DA001,1,2025/09/02,535,
+07DA001,1,2025/09/03,522,
+07DA001,1,2025/09/04,509,
+07DA001,1,2025/09/05,495,
+07DA001,1,2025/09/06,489,
+07DA001,1,2025/09/07,480,
+07DA001,1,2025/09/08,469,
+07DA001,1,2025/09/09,458,
+07DA001,1,2025/09/10,450,
+07DA001,1,2025/09/11,438,
+07DA001,1,2025/09/12,427,
+07DA001,1,2025/09/13,417,
+07DA001,1,2025/09/14,411,
+07DA001,1,2025/09/15,409,
+07DA001,1,2025/09/16,405,
+07DA001,1,2025/09/17,398,
+07DA001,1,2025/09/18,388,
+07DA001,1,2025/09/19,376,
+07DA001,1,2025/09/20,369,
+07DA001,1,2025/09/21,364,
+07DA001,1,2025/09/22,361,
+07DA001,1,2025/09/23,358,
+07DA001,1,2025/09/24,348,
+07DA001,1,2025/09/25,340,
+07DA001,1,2025/09/26,347,
+07DA001,1,2025/09/27,342,
+07DA001,1,2025/09/28,328,
+07DA001,1,2025/09/29,318,
+07DA001,1,2025/09/30,324,
+07DA001,1,2025/10/01,323,
+07DA001,1,2025/10/02,325,
+07DA001,1,2025/10/03,336,
+07DA001,1,2025/10/04,324,
+07DA001,1,2025/10/05,312,
+07DA001,1,2025/10/06,318,
+07DA001,1,2025/10/07,335,
+07DA001,1,2025/10/08,351,
+07DA001,1,2025/10/09,361,
+07DA001,1,2025/10/10,347,
+07DA001,1,2025/10/11,334,
+07DA001,1,2025/10/12,319,
+07DA001,1,2025/10/13,310,
+07DA001,1,2025/10/14,303,
+07DA001,1,2025/10/15,294,
+07DA001,1,2025/10/16,293,
+07DA001,1,2025/10/17,332,
+07DA001,1,2025/10/18,329,
+07DA001,1,2025/10/19,324,
+07DA001,1,2025/10/20,330,
+07DA001,1,2025/10/21,323,
+07DA001,1,2025/10/22,313,
+07DA001,1,2025/10/23,305,
+07DA001,1,2025/10/24,299,
+07DA001,1,2025/10/25,301,
+07DA001,1,2025/10/26,305,
+07DA001,1,2025/10/27,318,
+07DA001,1,2025/10/28,322,
+07DA001,1,2025/10/29,319,
+07DA001,1,2025/10/30,315,
+07DA001,1,2025/10/31,312,
+07DA001,1,2025/11/01,313,
+07DA001,1,2025/11/02,311,
+07DA001,1,2025/11/03,306,
+07DA001,1,2025/11/04,303,
+07DA001,1,2025/11/05,278,B
+07DA001,1,2025/11/06,249,B
+07DA001,1,2025/11/07,237,B
+07DA001,1,2025/11/08,248,B
+07DA001,1,2025/11/09,239,B
+07DA001,1,2025/11/10,248,B
+07DA001,1,2025/11/11,248,B
+07DA001,1,2025/11/12,241,B
+07DA001,1,2025/11/13,236,B
+07DA001,1,2025/11/14,248,B
+07DA001,1,2025/11/15,249,B
+07DA001,1,2025/11/16,249,B
+07DA001,1,2025/11/17,244,B
+07DA001,1,2025/11/18,255,B
+07DA001,1,2025/11/19,245,B
+07DA001,1,2025/11/20,240,B
+07DA001,1,2025/11/21,242,B
+07DA001,1,2025/11/22,228,B
+07DA001,1,2025/11/23,218,B
+07DA001,1,2025/11/24,204,B
+07DA001,1,2025/11/25,190,B
+07DA001,1,2025/11/26,178,B
+07DA001,1,2025/11/27,170,B
+07DA001,1,2025/11/28,170,B
+07DA001,1,2025/11/29,171,B
+07DA001,1,2025/11/30,169,B
+07DA001,1,2025/12/01,167,B
+07DA001,1,2025/12/02,170,B
+07DA001,1,2025/12/03,171,B
+07DA001,1,2025/12/04,169,B
+07DA001,1,2025/12/05,170,B
+07DA001,1,2025/12/06,171,B
+07DA001,1,2025/12/07,170,B
+07DA001,1,2025/12/08,169,B
+07DA001,1,2025/12/09,166,B
+07DA001,1,2025/12/10,162,B
+07DA001,1,2025/12/11,161,B
+07DA001,1,2025/12/12,158,B
+07DA001,1,2025/12/13,154,B
+07DA001,1,2025/12/14,151,B
+07DA001,1,2025/12/15,148,B
+07DA001,1,2025/12/16,145,B
+07DA001,1,2025/12/17,143,B
+07DA001,1,2025/12/18,142,B
+07DA001,1,2025/12/19,142,B
+07DA001,1,2025/12/20,142,B
+07DA001,1,2025/12/21,141,B
+07DA001,1,2025/12/22,141,B
+07DA001,1,2025/12/23,139,B
+07DA001,1,2025/12/24,138,B
+07DA001,1,2025/12/25,136,B
+07DA001,1,2025/12/26,134,B
+07DA001,1,2025/12/27,132,B
+07DA001,1,2025/12/28,130,B
+07DA001,1,2025/12/29,127,B
+07DA001,1,2025/12/30,126,B
+07DA001,1,2025/12/31,124,B
diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Draft notebooks/Calibration file deletion.ipynb b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Draft notebooks/Calibration file deletion.ipynb
new file mode 100644
index 00000000..e72b2b28
--- /dev/null
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Draft notebooks/Calibration file deletion.ipynb	
@@ -0,0 +1,138 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "180f6063-930f-49dd-86b3-9bab1c4d82af",
+   "metadata": {},
+   "source": [
+    "## Startup"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "5037dc08-d28b-4299-b220-454411e406a4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General python\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\", category=UserWarning)\n",
+    "\n",
+    "import numpy as np\n",
+    "from pathlib import Path\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import xarray as xr\n",
+    "\n",
+    "# Niceties\n",
+    "from rich import print\n",
+    "\n",
+    "from ipywidgets import IntProgress\n",
+    "from IPython.display import display\n",
+    "import shutil"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "c2bdabd1-470a-450e-bbd2-5a49b57e18f6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General eWaterCycle\n",
+    "import ewatercycle\n",
+    "import ewatercycle.models\n",
+    "import ewatercycle.forcing"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 65,
+   "id": "6acd5b8a-f2fb-45ee-8b14-aa0c7f14ad04",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #00ff00; text-decoration-color: #00ff00; font-style: italic\">True</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[3;92mTrue\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "[PosixPath('/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-1990-1994/run'),\n",
+       " PosixPath('/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-1990-1994/preproc'),\n",
+       " PosixPath('/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-1990-1994/work'),\n",
+       " PosixPath('/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-1990-1994/plots'),\n",
+       " PosixPath('/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-1990-1994/index.html')]"
+      ]
+     },
+     "execution_count": 65,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# file_path = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / \"ssp245\" / \"CMIP6-1000-1000\"\n",
+    "file_path = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / \"historical\" / \"CMIP6-1995-1994\" \n",
+    "print(file_path.exists())\n",
+    "\n",
+    "list(file_path.iterdir())[:10]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 66,
+   "id": "03635a99-3dbb-4216-b27e-bfdc27f8ed21",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "if file_path.exists() and file_path.is_dir():\n",
+    "    for item in file_path.iterdir():\n",
+    "        if item.is_dir():\n",
+    "            shutil.rmtree(item)\n",
+    "        else:\n",
+    "            item.unlink()\n",
+    "else:\n",
+    "    print(\"Folder does not exist or is not a folder.\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "14ad44ce-1fcf-4b6c-9525-9e5e49d04e34",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Draft notebooks/Step2_Calibration_trial.ipynb b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Draft notebooks/Step2_Calibration_trial.ipynb
new file mode 100644
index 00000000..f19a8b8f
--- /dev/null
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Draft notebooks/Step2_Calibration_trial.ipynb	
@@ -0,0 +1,4767 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "fbc7f454-3d60-492d-aa6c-0ce21a0dfc77",
+   "metadata": {},
+   "source": [
+    "## Startup\n",
+    "\n",
+    "\n",
+    "80/20 rule:\n",
+    "80% calibration (2000-2020)\n",
+    "20% validation (2020-2025)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "95a06f73-282f-4c7c-8333-f002e73e205a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General python\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\", category=UserWarning)\n",
+    "\n",
+    "import numpy as np\n",
+    "from pathlib import Path\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import xarray as xr\n",
+    "\n",
+    "# Niceties\n",
+    "from rich import print\n",
+    "\n",
+    "from ipywidgets import IntProgress\n",
+    "from IPython.display import display"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "8b61a012-64eb-48b2-ba78-f641a1a581a3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General eWaterCycle\n",
+    "import ewatercycle\n",
+    "import ewatercycle.models\n",
+    "import ewatercycle.forcing"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a860a623-f634-4b50-822c-51e09ab4e594",
+   "metadata": {},
+   "source": [
+    "### Defining variables & pathways"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "7d407089-bbfc-40d7-983f-efbc4a7ccaf5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Naming region \n",
+    "\n",
+    "hysets_id = \"hysets_07DA001\"\n",
+    "basin_size = 132572"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "970798cd-b737-44f3-8edd-de3352b86efd",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Choosing time period\n",
+    "\n",
+    "experiment_start_date = \"2000-01-01T00:00:00Z\"\n",
+    "experiment_end_date = \"2005-12-31T00:00:00Z\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "c3b02d32-4be2-47a7-8935-8284af182d66",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create pathways for ERA 5 forcings\n",
+    "\n",
+    "forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcing_trial\" / hysets_id / \"ERA5\"\n",
+    "forcing_path_ERA5.mkdir(exist_ok=True, parents=True)\n",
+    "\n",
+    "discharge_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
+    "\n",
+    "shape_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "\n",
+    "calibration_temp = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"calibration_temp\"\n",
+    "calibration_temp.mkdir(parents=True, exist_ok=True)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fd4ec71b-d4f6-4a1c-be9a-f8d3b89059d1",
+   "metadata": {},
+   "source": [
+    "### Load & prepare discharge data "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "d590f365-72ad-4473-9996-88820ea52c18",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load CSV discharge 07DA001\n",
+    "\n",
+    "q_obs = pd.read_csv(discharge_file, skiprows=1)\n",
+    "q_obs = q_obs[[\"Date\", \"Value\"]].copy()\n",
+    "q_obs[\"Date\"] = pd.to_datetime(q_obs[\"Date\"])\n",
+    "q_obs = q_obs.rename(columns={\"Value\": \"discharge_m3s\"})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "1cec4b74-037a-4d48-8769-e0b57a7683aa",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Filter q_obs to start & end date\n",
+    "\n",
+    "start_date = pd.to_datetime(experiment_start_date.replace(\"Z\", \"\"))\n",
+    "end_date = pd.to_datetime(experiment_end_date.replace(\"Z\", \"\"))\n",
+    "\n",
+    "q_obs = q_obs[(q_obs[\"Date\"] >= start_date) & (q_obs[\"Date\"] <= end_date)].copy()\n",
+    "\n",
+    "observed_output = pd.Series(data=q_obs[\"discharge_m3s\"].to_numpy(), name=\"Observed discharge\", index=q_obs[\"Date\"])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a7c47f7f-18ff-4441-b1d4-975e46e1719b",
+   "metadata": {},
+   "source": [
+    "### Generate ERA5 data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "eb582ebf-8fbc-4542-b785-cee2f332bdd5",
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "NameError",
+     "evalue": "name 'ewatercycle' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[1], line 3\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;66;03m# Generate ERA5 data\u001b[39;00m\n\u001b[0;32m----> 3\u001b[0m ERA5_forcing \u001b[38;5;241m=\u001b[39m \u001b[43mewatercycle\u001b[49m\u001b[38;5;241m.\u001b[39mforcing\u001b[38;5;241m.\u001b[39msources[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mLumpedMakkinkForcing\u001b[39m\u001b[38;5;124m'\u001b[39m]\u001b[38;5;241m.\u001b[39mgenerate(\n\u001b[1;32m      4\u001b[0m     dataset\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mERA5\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m      5\u001b[0m     start_time\u001b[38;5;241m=\u001b[39mexperiment_start_date,\n\u001b[1;32m      6\u001b[0m     end_time\u001b[38;5;241m=\u001b[39mexperiment_end_date,\n\u001b[1;32m      7\u001b[0m     shape\u001b[38;5;241m=\u001b[39mshape_file,\n\u001b[1;32m      8\u001b[0m )\n",
+      "\u001b[0;31mNameError\u001b[0m: name 'ewatercycle' is not defined"
+     ]
+    }
+   ],
+   "source": [
+    "# Generate ERA5 data\n",
+    "\n",
+    "ERA5_forcing = ewatercycle.forcing.sources['LumpedMakkinkForcing'].generate(\n",
+    "    dataset=\"ERA5\",\n",
+    "    start_time=experiment_start_date,\n",
+    "    end_time=experiment_end_date,\n",
+    "    shape=shape_file,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6fc290da-fa08-48f0-83e3-a39e8f5c36ef",
+   "metadata": {},
+   "source": [
+    "## Calibration Methods"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9b95e67e-780e-4a4d-a2f1-4cf9de2b0512",
+   "metadata": {},
+   "source": [
+    "### Method 1: RMSE"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "id": "3da0e944-b4bf-49c6-a986-a94fc14e0bfe",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def RMSE(sim, obs):\n",
+    "    sim = sim.to_numpy()\n",
+    "    obs = obs.to_numpy()\n",
+    "\n",
+    "    return np.sqrt(np.mean((obs - sim)) ** 2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ba51d28d-1fdb-46af-8f8e-5dcf904aba7f",
+   "metadata": {},
+   "source": [
+    "### Method 2: NSE"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "id": "9ff8dc21-0959-49a4-9d4b-496726c90f88",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def NSE(sim, obs):\n",
+    "    sim = sim.to_numpy()\n",
+    "    obs = obs.to_numpy()\n",
+    "\n",
+    "    return 1 - np.sum((obs - sim) ** 2) / np.sum((obs - np.mean(obs)) ** 2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "93f96591-ceb4-4671-9a48-04a0ddbfaf5a",
+   "metadata": {},
+   "source": [
+    "### Method 3: Log_NSE"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "826cfb65-21ba-4901-aafe-37738913c0ee",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def log_NSE(sim, obs):\n",
+    "    sim = sim.to_numpy()\n",
+    "    obs = obs.to_numpy()\n",
+    "\n",
+    "    # Avoid log(0)\n",
+    "    eps = 0.00000000001\n",
+    "\n",
+    "    log_sim = np.log(sim + eps)\n",
+    "    log_obs = np.log(obs + eps)\n",
+    "\n",
+    "    return 1 - np.sum((log_obs - log_sim) ** 2) / np.sum((log_obs - np.mean(log_obs)) ** 2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "645d5bb0-de70-4b97-9aa0-93094c91ebe6",
+   "metadata": {},
+   "source": [
+    "## Calibration start"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "0f58e61f-7178-44f8-8e5e-e1fa402813c9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create function to run the model\n",
+    "\n",
+    "def run_hbv(parameters, initial_storages, forcing):\n",
+    "\n",
+    "    # Create model object\n",
+    "    model = ewatercycle.models.HBV(forcing=forcing)\n",
+    "\n",
+    "    # Create config file\n",
+    "    config_file, _ = model.setup(\n",
+    "        parameters=parameters,\n",
+    "        initial_storages=initial_storages,\n",
+    "        cfg_dir=calibration_temp\n",
+    "    )\n",
+    "\n",
+    "    # Initialising model\n",
+    "    model.initialize(config_file)\n",
+    "\n",
+    "    # Define & update outputs \n",
+    "    Q_m = []\n",
+    "    time = []\n",
+    "\n",
+    "    while model.time < model.end_time:\n",
+    "        model.update()\n",
+    "        Q_m.append(model.get_value(\"Q\")[0])\n",
+    "        time.append(pd.Timestamp(model.time_as_datetime))\n",
+    "\n",
+    "    model.finalize()\n",
+    "\n",
+    "    # Convert mm/day to m3/s\n",
+    "    model_output_mmday = pd.Series(\n",
+    "        data=Q_m, \n",
+    "        index=time, \n",
+    "        name=\"Modelled discharge\"\n",
+    "    )\n",
+    "    model_output_m3s = model_output_mmday * basin_size * 1000 / 86400\n",
+    "\n",
+    "    return model_output_m3s"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "210b14c5-80b4-4b84-9e1d-09d2c0968c23",
+   "metadata": {},
+   "source": [
+    "### Define Parameters & Storages"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "id": "42429a8f-42c3-4864-b351-cb8e80404a5b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">[</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7.04132074e+00</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3.86890731e-01</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2.00329377e+02</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.57156950e+00</span>\n",
+       " <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2.93221286e-01</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">8.51057360e+00</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3.11747433e-01</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2.11115492e-02</span>\n",
+       " <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">9.50756202e-01</span><span style=\"font-weight: bold\">]</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1m[\u001b[0m\u001b[1;36m7.04132074e+00\u001b[0m \u001b[1;36m3.86890731e-01\u001b[0m \u001b[1;36m2.00329377e+02\u001b[0m \u001b[1;36m1.57156950e+00\u001b[0m\n",
+       " \u001b[1;36m2.93221286e-01\u001b[0m \u001b[1;36m8.51057360e+00\u001b[0m \u001b[1;36m3.11747433e-01\u001b[0m \u001b[1;36m2.11115492e-02\u001b[0m\n",
+       " \u001b[1;36m9.50756202e-01\u001b[0m\u001b[1m]\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Define initial storages\n",
+    "#               Si,  Su, Sf, Ss, Sp\n",
+    "s_0 = np.array([0,  100,  0,  5,  0])\n",
+    "\n",
+    "# # Define parameters\n",
+    "# par_names = [\"Imax\",\n",
+    "#                \"Ce\",\n",
+    "#                \"Sumax\",\n",
+    "#                \"Beta\",\n",
+    "#                \"Pmax\",\n",
+    "#                \"Tlag\",\n",
+    "#                \"Kf\",\n",
+    "#                \"Ks\",\n",
+    "#                \"FM\"\n",
+    "#                ]\n",
+    "# p_min = np.array([0,   0.1,  10,  0.1, 0.001, 0,   0.001, 0.0001, 0.01])\n",
+    "# p_max = np.array([10,  2.0, 500,  5.0, 0.3,   10,  0.1,   0.01,   0.5])\n",
+    "\n",
+    "# Define parameters\n",
+    "parameter_ranges = {\n",
+    "    \"Imax\":  (2.5, 8.5),            # Maximum interception storage\n",
+    "    \"Ce\":    (0.38, 0.5),       # Evaporation correction factor\n",
+    "    \"Sumax\": (140, 275),         # Maximum soil moisture storage\n",
+    "    \"Beta\":  (1.5, 2.3),          # Soil runoff parameter\n",
+    "    \"Pmax\":  (0.2, 1.4),            # Maximum percolation rate\n",
+    "    \"Tlag\":  (5.8, 8.7),           # Time lag\n",
+    "    \"Kf\":    (0.02, 0.35),       # Fast reservoir recession coefficient\n",
+    "    \"Ks\":    (0.001, 0.1),     # Slow reservoir recession coefficient\n",
+    "    \"FM\":    (0.35, 1),          # Snowmelt factor\n",
+    "}\n",
+    "\n",
+    "# parameter_ranges = {\n",
+    "#     \"Imax\":  (3, 8.5),\n",
+    "#     \"Ce\":    (0.35, 0.48),\n",
+    "#     \"Sumax\": (140, 280),\n",
+    "#     \"Beta\":  (1.5, 2.2),\n",
+    "#     \"Pmax\":  (0.15, 1.2),\n",
+    "#     \"Tlag\":  (6, 9),\n",
+    "#     \"Kf\":    (0.04, 0.30),\n",
+    "#     \"Ks\":    (0.025, 0.07),\n",
+    "#     \"FM\":    (0.35, 1.1),\n",
+    "# }\n",
+    "\n",
+    "# Convert to arrays\n",
+    "parameter_names = list(parameter_ranges.keys())\n",
+    "\n",
+    "p_min = np.array([parameter_ranges[name][0] for name in parameter_names])\n",
+    "p_max = np.array([parameter_ranges[name][1] for name in parameter_names])\n",
+    "\n",
+    "# Create samples\n",
+    "N = 300\n",
+    "par_samples = np.random.rand(N, len(parameter_ranges))                  # Generates values between 0-1\n",
+    "parameter_sets = p_min + par_samples * (p_max - p_min)                  # Fits value to parameter range\n",
+    "\n",
+    "print(parameter_sets[:][0])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1e93b5d4-0a92-4d09-b135-07101e614d9e",
+   "metadata": {},
+   "source": [
+    "## LoopdiLoop"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "id": "577e23e5-8db6-45a1-b91b-aae3a46b6c12",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "d5d2bf84579442978bea3ee6ec8bd1a0",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "IntProgress(value=0, max=300)"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m1\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m2\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m3\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m4\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m5\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m6\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m7\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">8</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m8\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">9</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m9\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">10</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m10\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">11</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m11\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">12</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m12\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">13</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m13\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">14</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m14\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">15</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m15\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">16</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m16\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">17</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m17\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">18</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m18\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">19</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m19\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">20</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m20\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">21</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m21\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">22</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m22\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">23</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m23\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">24</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m24\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">25</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m25\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">26</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m26\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">27</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m27\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">28</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m28\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">29</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m29\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">30</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m30\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">31</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m31\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">32</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m32\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">33</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m33\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">34</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m34\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">35</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m35\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">36</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m36\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">37</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m37\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">38</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m38\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">39</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m39\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">40</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m40\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">41</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m41\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">42</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m42\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">43</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m43\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">44</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m44\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">45</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m45\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">46</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m46\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">47</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m47\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">48</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m48\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">49</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m49\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">50</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m50\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">51</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m51\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">52</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m52\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">53</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m53\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">54</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m54\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">55</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m55\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">56</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m56\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">57</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m57\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">58</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m58\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">59</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m59\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">60</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m60\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">61</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m61\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">62</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m62\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">63</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m63\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">64</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m64\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">65</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m65\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">66</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m66\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">67</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m67\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">68</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m68\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">69</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m69\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">70</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m70\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">71</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m71\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">72</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m72\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">73</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m73\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">74</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m74\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">75</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m75\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">76</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m76\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">77</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m77\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">78</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m78\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">79</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m79\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">80</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m80\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">81</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m81\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">82</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m82\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">83</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m83\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">84</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m84\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">85</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m85\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">86</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m86\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">87</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m87\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">88</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m88\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">89</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m89\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">90</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m90\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">91</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m91\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">92</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m92\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">93</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m93\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">94</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m94\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">95</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m95\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">96</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m96\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">97</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m97\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">98</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m98\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">99</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m99\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">100</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m100\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">101</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m101\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">102</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m102\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">103</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m103\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">104</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m104\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">105</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m105\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">106</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m106\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">107</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m107\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">108</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m108\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">109</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m109\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">110</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m110\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">111</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m111\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">112</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m112\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">113</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m113\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">114</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m114\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">115</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m115\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">116</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m116\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">117</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m117\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">118</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m118\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">119</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m119\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">120</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m120\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">121</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m121\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">122</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m122\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">123</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m123\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">124</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m124\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">125</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m125\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">126</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m126\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">127</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m127\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">128</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m128\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">129</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m129\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">130</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m130\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">131</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m131\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">132</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m132\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">133</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m133\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">134</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m134\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">135</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m135\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">136</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m136\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">137</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m137\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">138</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m138\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">139</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m139\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">140</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m140\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">141</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m141\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">142</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m142\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">143</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m143\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">144</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m144\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">145</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m145\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">146</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m146\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">147</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m147\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">148</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m148\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">149</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m149\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">150</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m150\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">151</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m151\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">152</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m152\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">153</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m153\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">154</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m154\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">155</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m155\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">156</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m156\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">157</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m157\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">158</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m158\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">159</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m159\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">160</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m160\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">161</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m161\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">162</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m162\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">163</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m163\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">164</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m164\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">165</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m165\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">166</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m166\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">167</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m167\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">168</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m168\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">169</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m169\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">170</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m170\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">171</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m171\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">172</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m172\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">173</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m173\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">174</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m174\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">175</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m175\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">176</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m176\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">177</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m177\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">178</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m178\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">179</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m179\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">180</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m180\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">181</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m181\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">182</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m182\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">183</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m183\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">184</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m184\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">185</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m185\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">186</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m186\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">187</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m187\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">188</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m188\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">189</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m189\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">190</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m190\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">191</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m191\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">192</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m192\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">193</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m193\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">194</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m194\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">195</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m195\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">196</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m196\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">197</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m197\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">198</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m198\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">199</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m199\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">200</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m200\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">201</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m201\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">202</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m202\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">203</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m203\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">204</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m204\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">205</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m205\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">206</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m206\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">207</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m207\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">208</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m208\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">209</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m209\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">210</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m210\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">211</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m211\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">212</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m212\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">213</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m213\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">214</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m214\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">215</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m215\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">216</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m216\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">217</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m217\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">218</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m218\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">219</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m219\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">220</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m220\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">221</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m221\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">222</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m222\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">223</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m223\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">224</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m224\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">225</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m225\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">226</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m226\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">227</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m227\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">228</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m228\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">229</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m229\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">230</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m230\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">231</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m231\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">232</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m232\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">233</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m233\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">234</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m234\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">235</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m235\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">236</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m236\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">237</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m237\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">238</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m238\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">239</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m239\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">240</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m240\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">241</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m241\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">242</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m242\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">243</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m243\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">244</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m244\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">245</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m245\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">246</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m246\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">247</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m247\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">248</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m248\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">249</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m249\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">250</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m250\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">251</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m251\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">252</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m252\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">253</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m253\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">254</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m254\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">255</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m255\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">256</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m256\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">257</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m257\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">258</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m258\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">259</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m259\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">260</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m260\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">261</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m261\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">262</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m262\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">263</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m263\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">264</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m264\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">265</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m265\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">266</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m266\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">267</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m267\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">268</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m268\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">269</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m269\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">270</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m270\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">271</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m271\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">272</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m272\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">273</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m273\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">274</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m274\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">275</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m275\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">276</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m276\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">277</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m277\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">278</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m278\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">279</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m279\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">280</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m280\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">281</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m281\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">282</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m282\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">283</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m283\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">284</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m284\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">285</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m285\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">286</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m286\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">287</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m287\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">288</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m288\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">289</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m289\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">290</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m290\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">291</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m291\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">292</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m292\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">293</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m293\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">294</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m294\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">295</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m295\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">296</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m296\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">297</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m297\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">298</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m298\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">299</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m299\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m300\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "results = []\n",
+    "\n",
+    "# Progress bar for visualization\n",
+    "f = IntProgress(min=0, max=N)\n",
+    "display(f)\n",
+    "\n",
+    "for i in range(N):\n",
+    "    print(f\"Running parameter set {i+1}/{N}\")\n",
+    "\n",
+    "    simulated = run_hbv(\n",
+    "        parameters=parameter_sets[i], \n",
+    "        initial_storages=s_0, \n",
+    "        forcing=ERA5_forcing\n",
+    "    )\n",
+    "\n",
+    "    # Filter data by day only, not by day & time to prevent alignment issues\n",
+    "    simulated_daily = simulated\n",
+    "    observed_daily = observed_output\n",
+    "\n",
+    "    simulated_daily.index = pd.to_datetime(simulated_daily.index).tz_localize(None).normalize()\n",
+    "    observed_daily.index = pd.to_datetime(observed_daily.index).tz_localize(None).normalize()\n",
+    "    \n",
+    "    # Align simulated and observed data\n",
+    "    combined_data = pd.DataFrame(\n",
+    "        {\"Modelled discharge\": simulated_daily, \n",
+    "        \"Observed discharge\": observed_daily}\n",
+    "    ).dropna()\n",
+    "\n",
+    "    # Skip first year as warm-up\n",
+    "    combined_data = combined_data[combined_data.index >= \"2001-01-01\"]\n",
+    "    \n",
+    "    # Append results\n",
+    "    if combined_data.empty:\n",
+    "        print(f\"No overlapping data for parameter set {i+1}\")\n",
+    "        nse = np.nan\n",
+    "        log_nse = np.nan\n",
+    "    else:\n",
+    "        nse = NSE(\n",
+    "            combined_data[\"Modelled discharge\"], \n",
+    "            combined_data[\"Observed discharge\"]\n",
+    "        )\n",
+    "        log_nse = log_NSE(\n",
+    "            combined_data[\"Modelled discharge\"], \n",
+    "            combined_data[\"Observed discharge\"]\n",
+    "        )\n",
+    "        \n",
+    "    results.append({\n",
+    "        \"run\": i,\n",
+    "        \"NSE\": nse,\n",
+    "        \"log_NSE\": log_nse,\n",
+    "        \"parameters\": parameter_sets[i]\n",
+    "    })"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2d7b5f35-f872-4ef5-8ced-c92cdd81c8f8",
+   "metadata": {},
+   "source": [
+    "### Display results"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "id": "4c69f827-adda-4ec9-8863-abf0ba31e0d2",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">     run       NSE   log_NSE\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0</span>      <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.439754</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.709099</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>      <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.699835</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.776052</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>      <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.782790</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.795898</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>      <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.408743</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.376669</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>      <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.382206</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.721494</span>\n",
+       "..   <span style=\"color: #808000; text-decoration-color: #808000\">...</span>       <span style=\"color: #808000; text-decoration-color: #808000\">...</span>       <span style=\"color: #808000; text-decoration-color: #808000\">...</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">295</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">295</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.705821</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.809451</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">296</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">296</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.666569</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.698280</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">297</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">297</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.481626</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.689337</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">298</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">298</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.472785</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.363001</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">299</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">299</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.230548</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.231731</span>\n",
+       "\n",
+       "<span style=\"font-weight: bold\">[</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span> rows x <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span> columns<span style=\"font-weight: bold\">]</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "     run       NSE   log_NSE\n",
+       "\u001b[1;36m0\u001b[0m      \u001b[1;36m0\u001b[0m  \u001b[1;36m0.439754\u001b[0m  \u001b[1;36m0.709099\u001b[0m\n",
+       "\u001b[1;36m1\u001b[0m      \u001b[1;36m1\u001b[0m  \u001b[1;36m0.699835\u001b[0m  \u001b[1;36m0.776052\u001b[0m\n",
+       "\u001b[1;36m2\u001b[0m      \u001b[1;36m2\u001b[0m  \u001b[1;36m0.782790\u001b[0m  \u001b[1;36m0.795898\u001b[0m\n",
+       "\u001b[1;36m3\u001b[0m      \u001b[1;36m3\u001b[0m  \u001b[1;36m0.408743\u001b[0m  \u001b[1;36m0.376669\u001b[0m\n",
+       "\u001b[1;36m4\u001b[0m      \u001b[1;36m4\u001b[0m  \u001b[1;36m0.382206\u001b[0m  \u001b[1;36m0.721494\u001b[0m\n",
+       "..   \u001b[33m...\u001b[0m       \u001b[33m...\u001b[0m       \u001b[33m...\u001b[0m\n",
+       "\u001b[1;36m295\u001b[0m  \u001b[1;36m295\u001b[0m  \u001b[1;36m0.705821\u001b[0m  \u001b[1;36m0.809451\u001b[0m\n",
+       "\u001b[1;36m296\u001b[0m  \u001b[1;36m296\u001b[0m  \u001b[1;36m0.666569\u001b[0m  \u001b[1;36m0.698280\u001b[0m\n",
+       "\u001b[1;36m297\u001b[0m  \u001b[1;36m297\u001b[0m  \u001b[1;36m0.481626\u001b[0m  \u001b[1;36m0.689337\u001b[0m\n",
+       "\u001b[1;36m298\u001b[0m  \u001b[1;36m298\u001b[0m  \u001b[1;36m0.472785\u001b[0m  \u001b[1;36m0.363001\u001b[0m\n",
+       "\u001b[1;36m299\u001b[0m  \u001b[1;36m299\u001b[0m  \u001b[1;36m0.230548\u001b[0m  \u001b[1;36m0.231731\u001b[0m\n",
+       "\n",
+       "\u001b[1m[\u001b[0m\u001b[1;36m300\u001b[0m rows x \u001b[1;36m3\u001b[0m columns\u001b[1m]\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Best run: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">179</span> with NSE: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.8095358934408565</span>, with parameters:\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Best run: \u001b[1;36m179\u001b[0m with NSE: \u001b[1;36m0.8095358934408565\u001b[0m, with parameters:\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">[</span>\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Imax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6.279135309789487</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ce'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.48082432749007864</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Sumax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">174.127749336179</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Beta'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.9527195686909842</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Pmax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.3305087197271726</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Tlag'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6.199192091400492</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Kf'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.07683628832422615</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ks'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.004363984839521473</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'FM'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.40766060413663546</span><span style=\"font-weight: bold\">)</span>\n",
+       "<span style=\"font-weight: bold\">]</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1m[\u001b[0m\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Imax'\u001b[0m, \u001b[1;36m6.279135309789487\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ce'\u001b[0m, \u001b[1;36m0.48082432749007864\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Sumax'\u001b[0m, \u001b[1;36m174.127749336179\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Beta'\u001b[0m, \u001b[1;36m1.9527195686909842\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Pmax'\u001b[0m, \u001b[1;36m0.3305087197271726\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Tlag'\u001b[0m, \u001b[1;36m6.199192091400492\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Kf'\u001b[0m, \u001b[1;36m0.07683628832422615\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ks'\u001b[0m, \u001b[1;36m0.004363984839521473\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'FM'\u001b[0m, \u001b[1;36m0.40766060413663546\u001b[0m\u001b[1m)\u001b[0m\n",
+       "\u001b[1m]\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Best run: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">179</span> with log_NSE: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.8717169479201906</span>, with parameters:\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Best run: \u001b[1;36m179\u001b[0m with log_NSE: \u001b[1;36m0.8717169479201906\u001b[0m, with parameters:\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">[</span>\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Imax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6.279135309789487</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ce'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.48082432749007864</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Sumax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">174.127749336179</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Beta'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.9527195686909842</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Pmax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.3305087197271726</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Tlag'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6.199192091400492</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Kf'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.07683628832422615</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ks'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.004363984839521473</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'FM'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.40766060413663546</span><span style=\"font-weight: bold\">)</span>\n",
+       "<span style=\"font-weight: bold\">]</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1m[\u001b[0m\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Imax'\u001b[0m, \u001b[1;36m6.279135309789487\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ce'\u001b[0m, \u001b[1;36m0.48082432749007864\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Sumax'\u001b[0m, \u001b[1;36m174.127749336179\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Beta'\u001b[0m, \u001b[1;36m1.9527195686909842\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Pmax'\u001b[0m, \u001b[1;36m0.3305087197271726\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Tlag'\u001b[0m, \u001b[1;36m6.199192091400492\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Kf'\u001b[0m, \u001b[1;36m0.07683628832422615\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ks'\u001b[0m, \u001b[1;36m0.004363984839521473\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'FM'\u001b[0m, \u001b[1;36m0.40766060413663546\u001b[0m\u001b[1m)\u001b[0m\n",
+       "\u001b[1m]\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "results = pd.DataFrame(results)\n",
+    "\n",
+    "print(results[[\"run\", \"NSE\", \"log_NSE\"]])\n",
+    "\n",
+    "# Best NSE\n",
+    "best_run_nse = results[\"NSE\"].idxmax()\n",
+    "best_result_nse = results.loc[best_run_nse]\n",
+    "\n",
+    "best_parameters_nse = best_result_nse[\"parameters\"]\n",
+    "best_nse = best_result_nse[\"NSE\"]\n",
+    "\n",
+    "print(f'Best run: {best_run_nse} with NSE: {best_nse}, with parameters:')\n",
+    "print(list(zip(parameter_names, best_parameters_nse)))\n",
+    "\n",
+    "# Best log_NSE\n",
+    "best_run_log_nse = results[\"log_NSE\"].idxmax()\n",
+    "best_result_log_nse = results.loc[best_run_log_nse]\n",
+    "\n",
+    "best_parameters_log_nse = best_result_log_nse[\"parameters\"]\n",
+    "best_log_nse = best_result_log_nse[\"log_NSE\"]\n",
+    "\n",
+    "print(f'Best run: {best_run_log_nse} with log_NSE: {best_log_nse}, with parameters:')\n",
+    "print(list(zip(parameter_names, best_parameters_log_nse)))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "id": "68ac955d-5bc7-4c75-a862-0a6ddec6b96a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">[</span>\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Imax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6.2391126094287115</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ce'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.4059034482695777</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Sumax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">154.67204503110761</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Beta'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.754032781455765</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Pmax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.39617478157458713</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Tlag'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">8.374403905226643</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Kf'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.1561690712250938</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ks'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.01336758499776439</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'FM'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.4720208296914324</span><span style=\"font-weight: bold\">)</span>\n",
+       "<span style=\"font-weight: bold\">]</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1m[\u001b[0m\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Imax'\u001b[0m, \u001b[1;36m6.2391126094287115\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ce'\u001b[0m, \u001b[1;36m0.4059034482695777\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Sumax'\u001b[0m, \u001b[1;36m154.67204503110761\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Beta'\u001b[0m, \u001b[1;36m1.754032781455765\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Pmax'\u001b[0m, \u001b[1;36m0.39617478157458713\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Tlag'\u001b[0m, \u001b[1;36m8.374403905226643\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Kf'\u001b[0m, \u001b[1;36m0.1561690712250938\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ks'\u001b[0m, \u001b[1;36m0.01336758499776439\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'FM'\u001b[0m, \u001b[1;36m0.4720208296914324\u001b[0m\u001b[1m)\u001b[0m\n",
+       "\u001b[1m]\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Manual check for other runs\n",
+    "\n",
+    "selected_run = results.loc[295]\n",
+    "print(list(zip(parameter_names, selected_run[\"parameters\"])))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "id": "dc27944c-bad7-49ac-acb0-d050c6471452",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">RMSE for best NSE parameter set: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">52.624</span> m³/s\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "RMSE for best NSE parameter set: \u001b[1;36m52.624\u001b[0m m³/s\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">RMSE for best log_NSE parameter set: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">62.495</span> m³/s\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "RMSE for best log_NSE parameter set: \u001b[1;36m62.495\u001b[0m m³/s\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Calculate RMSE for best parameter sets NSE and log_NSE\n",
+    "\n",
+    "rmse_nse = RMSE(\n",
+    "    plot_data[\"Modelled discharge NSE\"],\n",
+    "    plot_data[\"Observed discharge\"]\n",
+    ")\n",
+    "\n",
+    "rmse_log_nse = RMSE(\n",
+    "    plot_data[\"Modelled discharge log_NSE\"],\n",
+    "    plot_data[\"Observed discharge\"]\n",
+    ")\n",
+    "\n",
+    "print(f\"RMSE for best NSE parameter set: {rmse_nse:.3f} m³/s\")\n",
+    "print(f\"RMSE for best log_NSE parameter set: {rmse_log_nse:.3f} m³/s\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "id": "aeb2ea7e-9826-450f-880e-e1e5e72c9dba",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1400x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot\n",
+    "\n",
+    "q_critical = 500\n",
+    "\n",
+    "simulated_calibrated_nse = run_hbv(\n",
+    "    parameters=best_parameters_nse,\n",
+    "    initial_storages=s_0,\n",
+    "    forcing=ERA5_forcing\n",
+    ")\n",
+    "\n",
+    "simulated_calibrated_log_nse = run_hbv(\n",
+    "    parameters=best_parameters_log_nse,\n",
+    "    initial_storages=s_0,\n",
+    "    forcing=ERA5_forcing\n",
+    ")\n",
+    "\n",
+    "# Align dates\n",
+    "simulated_plot_nse = simulated_calibrated_nse\n",
+    "simulated_plot_log_nse = simulated_calibrated_log_nse\n",
+    "observed_plot = observed_output\n",
+    "\n",
+    "simulated_plot_nse.index = pd.to_datetime(simulated_plot_nse.index).tz_localize(None).normalize()\n",
+    "simulated_plot_log_nse.index = pd.to_datetime(simulated_plot_log_nse.index).tz_localize(None).normalize()\n",
+    "observed_plot.index = pd.to_datetime(observed_plot.index).tz_localize(None).normalize()\n",
+    "\n",
+    "# Combine modelled and observed data\n",
+    "plot_data = pd.DataFrame({\n",
+    "    \"Modelled discharge NSE\": simulated_plot_nse,\n",
+    "    \"Modelled discharge log_NSE\": simulated_plot_log_nse,\n",
+    "    \"Observed discharge\": observed_plot\n",
+    "}).dropna()\n",
+    "\n",
+    "# Calculate NSE for plotted data\n",
+    "plot_nse = NSE(\n",
+    "    plot_data[\"Modelled discharge NSE\"],\n",
+    "    plot_data[\"Observed discharge\"]\n",
+    ")\n",
+    "\n",
+    "plot_log_nse = log_NSE(\n",
+    "    plot_data[\"Modelled discharge log_NSE\"],\n",
+    "    plot_data[\"Observed discharge\"]\n",
+    ")\n",
+    "\n",
+    "# Plot\n",
+    "plt.figure(figsize=(14, 6))\n",
+    "plt.plot(plot_data.index, plot_data[\"Observed discharge\"], label=\"Observed discharge\")\n",
+    "plt.plot(plot_data.index, plot_data[\"Modelled discharge NSE\"], label=\"Modelled discharge NSE\")\n",
+    "plt.plot(plot_data.index, plot_data[\"Modelled discharge log_NSE\"], label=\"Modelled discharge log_NSE\")\n",
+    "\n",
+    "plt.xlabel(\"Date\")\n",
+    "plt.ylabel(\"Discharge (m³/s)\")\n",
+    "plt.title(f\"Observed vs modelled discharge at 07DA001, NSE = {best_nse:.3f}, log NSE = {best_log_nse:.3f}\")\n",
+    "plt.axhline(y=q_critical, linestyle=\":\", label=f'Critical discharge ({q_critical} m³/s', color='black')\n",
+    "plt.legend()\n",
+    "plt.grid(True)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "dde634ea-53bd-4c41-ba13-8ec762014b89",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Draft notebooks/Step2_Trial_model_LAR.ipynb b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Draft notebooks/Step2_Trial_model_LAR.ipynb
new file mode 100644
index 00000000..9071a3ff
--- /dev/null
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Draft notebooks/Step2_Trial_model_LAR.ipynb	
@@ -0,0 +1,867 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "bdb4216e-a341-4c2b-a410-35170773a9a7",
+   "metadata": {},
+   "source": [
+    "## Startup"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 77,
+   "id": "d197b8f0-0f85-4a41-b2fb-1b2a8cf3f9f5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General python\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\", category=UserWarning)\n",
+    "\n",
+    "import numpy as np\n",
+    "from pathlib import Path\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import xarray as xr\n",
+    "\n",
+    "# Niceties\n",
+    "from rich import print"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 78,
+   "id": "dd7b7d3f-1489-4723-bb51-f3cffcb7a85c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General eWaterCycle\n",
+    "import ewatercycle\n",
+    "import ewatercycle.models\n",
+    "import ewatercycle.forcing"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 79,
+   "id": "1c8aee93-b2d6-4291-89ae-1d29e69268cd",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Defining basin size\n",
+    "\n",
+    "basin_size = 132572"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 80,
+   "id": "d7dce039-d1f3-44a0-b646-98c32ecffb28",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Choosing time period\n",
+    "\n",
+    "experiment_start_date = \"1999-01-01T00:00:00Z\"\n",
+    "experiment_end_date = \"2019-12-31T00:00:00Z\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 81,
+   "id": "d330bf37-7419-4287-81af-3d09e4c7a30e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create pathways for ERA 5 forcings\n",
+    "\n",
+    "forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"ERA5-1999-2019\"\n",
+    "\n",
+    "discharge_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
+    "\n",
+    "shape_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "\n",
+    "hbv_config = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"hbv_config\"\n",
+    "hbv_config.mkdir(parents=True, exist_ok=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 82,
+   "id": "12cc30f9-29ad-4b43-b3dd-9cd5612ff4e2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# # Create pathways for ERA 5 forcings\n",
+    "\n",
+    "# forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"forcings\" / \"ERA5-2019-2024\"\n",
+    "\n",
+    "# discharge_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
+    "\n",
+    "# shape_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "\n",
+    "# hbv_config = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"hbv_config\"\n",
+    "# hbv_config.mkdir(parents=True, exist_ok=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 83,
+   "id": "46ea8b1e-fb73-49ed-855c-4d95cd932748",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load CSV discharge 07DA001\n",
+    "\n",
+    "q_obs = pd.read_csv(discharge_file, skiprows=1)\n",
+    "q_obs = q_obs[[\"Date\", \"Value\"]].copy()\n",
+    "q_obs[\"Date\"] = pd.to_datetime(q_obs[\"Date\"])\n",
+    "q_obs = q_obs.rename(columns={\"Value\": \"discharge_m3s\"})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 84,
+   "id": "8bb224ad-d23c-475f-b6af-4a6023a17044",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Date</th>\n",
+       "      <th>discharge_m3s</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>14888</th>\n",
+       "      <td>1999-01-01</td>\n",
+       "      <td>104.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14889</th>\n",
+       "      <td>1999-01-02</td>\n",
+       "      <td>103.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14890</th>\n",
+       "      <td>1999-01-03</td>\n",
+       "      <td>101.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14891</th>\n",
+       "      <td>1999-01-04</td>\n",
+       "      <td>103.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14892</th>\n",
+       "      <td>1999-01-05</td>\n",
+       "      <td>105.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            Date  discharge_m3s\n",
+       "14888 1999-01-01          104.0\n",
+       "14889 1999-01-02          103.0\n",
+       "14890 1999-01-03          101.0\n",
+       "14891 1999-01-04          103.0\n",
+       "14892 1999-01-05          105.0"
+      ]
+     },
+     "execution_count": 84,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Filter q_obs to start & end date\n",
+    "\n",
+    "start_date = pd.to_datetime(experiment_start_date.replace(\"Z\", \"\"))\n",
+    "end_date = pd.to_datetime(experiment_end_date.replace(\"Z\", \"\"))\n",
+    "\n",
+    "q_obs = q_obs[\n",
+    "    (q_obs[\"Date\"] >= start_date) &\n",
+    "    (q_obs[\"Date\"] <= end_date)\n",
+    "].copy()\n",
+    "\n",
+    "q_obs.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 85,
+   "id": "7f6f57aa-9f39-4524-ba3a-34f55035ebab",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1200x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot q_obs\n",
+    "\n",
+    "plt.figure(figsize=(12, 5))\n",
+    "plt.plot(q_obs[\"Date\"], q_obs[\"discharge_m3s\"])\n",
+    "\n",
+    "plt.xlabel(\"Date\")\n",
+    "plt.ylabel(\"Discharge (m³/s)\")\n",
+    "plt.title(\"Observed daily discharge at 07DA001\")\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 86,
+   "id": "77e79b20-3e4d-405a-bd88-16bdc50bdb39",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">LumpedMakkinkForcing</span><span style=\"font-weight: bold\">(</span>\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">start_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'1999-01-01T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">end_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'2019-12-31T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">directory</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1999-2019'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">shape</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">filenames</span>=<span style=\"font-weight: bold\">{</span>\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'evspsblpot'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1999_2019_evspsblpot.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'pr'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1999_2019_pr.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'rsds'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1999_2019_rsds.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'tas'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1999_2019_tas.nc'</span>\n",
+       "    <span style=\"font-weight: bold\">}</span>\n",
+       "<span style=\"font-weight: bold\">)</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1;35mLumpedMakkinkForcing\u001b[0m\u001b[1m(\u001b[0m\n",
+       "    \u001b[33mstart_time\u001b[0m=\u001b[32m'1999-01-01T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mend_time\u001b[0m=\u001b[32m'2019-12-31T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mdirectory\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1999-2019'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mshape\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mfilenames\u001b[0m=\u001b[1m{\u001b[0m\n",
+       "        \u001b[32m'evspsblpot'\u001b[0m: \u001b[32m'combined_ERA5_1999_2019_evspsblpot.nc'\u001b[0m,\n",
+       "        \u001b[32m'pr'\u001b[0m: \u001b[32m'combined_ERA5_1999_2019_pr.nc'\u001b[0m,\n",
+       "        \u001b[32m'rsds'\u001b[0m: \u001b[32m'combined_ERA5_1999_2019_rsds.nc'\u001b[0m,\n",
+       "        \u001b[32m'tas'\u001b[0m: \u001b[32m'combined_ERA5_1999_2019_tas.nc'\u001b[0m\n",
+       "    \u001b[1m}\u001b[0m\n",
+       "\u001b[1m)\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Generate ERA5 data\n",
+    "# ERA5_forcing = ewatercycle.forcing.sources['LumpedMakkinkForcing'].generate(\n",
+    "#     dataset=\"ERA5\",\n",
+    "#     start_time=experiment_start_date,\n",
+    "#     end_time=experiment_end_date,\n",
+    "#     shape=shape_file,\n",
+    "# )\n",
+    "\n",
+    "# Load data\n",
+    "\n",
+    "ERA5_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=forcing_path_ERA5)\n",
+    "\n",
+    "print(ERA5_forcing)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 87,
+   "id": "ca2be146-1112-4806-a44f-d57ebd4442c9",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">[</span>\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Imax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6.991929</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ce'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.44128</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Sumax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">183.49046</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Beta'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.62907</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Pmax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.572658</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Tlag'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5.215476</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Kf'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.0654684</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ks'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.00259304</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'FM'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.14274</span><span style=\"font-weight: bold\">)</span>\n",
+       "<span style=\"font-weight: bold\">]</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1m[\u001b[0m\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Imax'\u001b[0m, \u001b[1;36m6.991929\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ce'\u001b[0m, \u001b[1;36m0.44128\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Sumax'\u001b[0m, \u001b[1;36m183.49046\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Beta'\u001b[0m, \u001b[1;36m1.62907\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Pmax'\u001b[0m, \u001b[1;36m0.572658\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Tlag'\u001b[0m, \u001b[1;36m5.215476\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Kf'\u001b[0m, \u001b[1;36m0.0654684\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ks'\u001b[0m, \u001b[1;36m0.00259304\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'FM'\u001b[0m, \u001b[1;36m1.14274\u001b[0m\u001b[1m)\u001b[0m\n",
+       "\u001b[1m]\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Load calibration constants\n",
+    "\n",
+    "# par_0 = [4.45787, 0.42307, 201.57602, 2.36497, 0.26755, 8.62964, 0.083568, 0.0037073, 0.29645]\n",
+    "# par_0 = [2.79874, 0.49211, 255.96478, 1.782968, 0.503199, 6.095956, 0.33279, 0.10539, 0.63857]\n",
+    "# par_0 = [6.279135, 0.4808243, 174.127749, 1.9527195, 0.3305087, 6.19919, 0.0768362, 0.004366398, 0.4076606]         # 0.725 val, 0.x cal - Fav run 2\n",
+    "# par_0 = [6.28908, 0.423917, 173.56627, 1.63144, 0.402586, 6.56151, 0.0456809, 0.00313744, 0.516696]                 # 0.702 val, 0.x cal\n",
+    "# par_0 = [6.4919, 0.386877, 221.78625, 1.388269, 0.276453, 4.9870704, 0.04126777, 0.05640195, 1.148877]              # 0.668 val, 0.x cal\n",
+    "# par_0 = [7.502398, 0.38028, 194.1899, 1.680197, 0.47956, 4.8566806, 0.041745354, 0.02833896, 1.051862]              # 0.677 val, 0.x cal\n",
+    "# par_0 = [5.5464, 0.46496, 187.8548, 1.82803, 0.440628, 6.29496, 0.062766, 0.033095, 0.80392]                        # 0.781 val, 0.776 cal\n",
+    "# par_0 = [6.16512, 0.4369419, 151.2515900, 1.727835, 0.3771705, 6.19265974, 0.06959136, 0.001310818, 0.8130732]      # 0.664 val, 0.791 cal\n",
+    "# par_0 = [5.7107, 0.441634, 172.81305, 1.87367, 0.588802, 5.498147, 0.060305, 0.019666, 1.2011814]                    # x val, 0.73 cal         Start of 5+ months exclusion\n",
+    "# par_0 = [7.35776, 0.432509, 192.67085, 1.66088, 0.289296, 5.323766, 0.037268, 0.004399, 1.146504]                    # 0.82 val, 0.818 cal - Fav run 1      \n",
+    "# par_0 = [7.23868, 0.47495, 181.82012, 1.8232, 0.4884032, 5.546412, 0.0449439, 0.00231717, 1.25052]                    #  val,  0.77 cal    \n",
+    "# par_0 = [7.9355, 0.4593, 219.6962, 1.72624, 0.26391, 5.810765, 0.04804, 0.0155065, 0.76857]                           # 0.78 val, 0.71 cal - potential inclusion\n",
+    "par_0 = [6.991929, 0.44128, 183.49046, 1.62907, 0.572658, 5.215476, 0.0654684, 0.00259304, 1.14274]                   # 0,69 c, 0.73 v - 6 months excluded N = 600 #1\n",
+    "# par_0 = [5.882658, 0.472413, 194.30386, 1.78162, 0.460818, 5.215365, 0.0641993, 0.159898, 1.091972]                   # 0,637 c, 0,65 v - 6 months excluded N = 600 #2\n",
+    "# par_0 = [6.991929, 0.44128, 183.49046, 1.62907, 0.572658, 5.215476, 0.0654684, 0.00259304, 1.14274]                   # c, v - 6 months excluded N = 600 #3\n",
+    "\n",
+    "\n",
+    "par_names = [\"Imax\",         # Maximum interception storage\n",
+    "               \"Ce\",         # Evaporation correction factor\n",
+    "               \"Sumax\",      # Maximum soil moisture storage\n",
+    "               \"Beta\",       # Soil runoff parameter\n",
+    "               \"Pmax\",       # Maximum percolation rate\n",
+    "               \"Tlag\",       # Time lag\n",
+    "               \"Kf\",         # Fast reservoir recession coefficient\n",
+    "               \"Ks\",         # Slow reservoir recession coefficient\n",
+    "               \"FM\"          # Snowmelt factor\n",
+    "               ]\n",
+    "\n",
+    "# Initial: par_0 = [5.085, 0.55, 100.373, 1.612, 0.545, 3.801, 0.196, 0.00, 0.185]\n",
+    "\n",
+    "print(list(zip(par_names, par_0)))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 88,
+   "id": "d5e5bcb4-bf90-470b-90ed-4a0b9d80c35d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Storages\n",
+    "\n",
+    "#               Si,  Su, Sf, Ss, Sp\n",
+    "s_0 = np.array([0,  100,  0,  5,  0])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5bbaae8e-18fa-4383-9973-5a2560840699",
+   "metadata": {},
+   "source": [
+    "## Setup model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 89,
+   "id": "055bdbc8-af1f-41ac-ad1d-b4da4d6785f6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create model object\n",
+    "\n",
+    "model = ewatercycle.models.HBV(forcing=ERA5_forcing)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 90,
+   "id": "44092959-524a-4330-a274-77cfad0eacd6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create config file\n",
+    "\n",
+    "config_file, _ = model.setup(parameters=par_0, initial_storages=s_0, cfg_dir=hbv_config)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 91,
+   "id": "079368de-30cf-491f-8cc9-2021f6a4bfa6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Initialising model\n",
+    "\n",
+    "model.initialize(config_file)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "327222c7-bd08-4992-826e-07f40f61b783",
+   "metadata": {},
+   "source": [
+    "## Running the model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 92,
+   "id": "93b4084b-21e5-4009-9fc7-122b7b739a86",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Define outputs\n",
+    "\n",
+    "Q_m = []\n",
+    "time = []\n",
+    "\n",
+    "while model.time < model.end_time:\n",
+    "    model.update()\n",
+    "    Q_m.append(model.get_value(\"Q\")[0])\n",
+    "    time.append(pd.Timestamp(model.time_as_datetime))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 93,
+   "id": "f1bb58f8-3dee-43eb-abc8-4af333b5d064",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "model.finalize()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "39872047-cba7-47c4-b2f8-6ed47c56fdc6",
+   "metadata": {},
+   "source": [
+    "## Process results "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 94,
+   "id": "715c5274-8ab4-45d0-b154-bb0cf30b52bd",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Make Series for model output and q_obs\n",
+    "model_output_mmday = pd.Series(data=Q_m, name=\"Modelled discharge\", index=time)\n",
+    "model_output_m3s = model_output_mmday * basin_size * 1000 / 86400\n",
+    "\n",
+    "# Date_obs = q_obs[\"Date\"]\n",
+    "# discharge_m3s_obs = q_obs[\"discharge_m3s\"]\n",
+    "\n",
+    "observed_output = pd.Series(data=q_obs[\"discharge_m3s\"].to_numpy(), name=\"Observed discharge\", index=q_obs[\"Date\"])\n",
+    "\n",
+    "# q_obs.set_index(\"Date\")[\"discharge_m3s\"]\n",
+    "# observed_output.name = \"Observed discharge\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 95,
+   "id": "9ee05f10-c416-4238-be5f-0dd3901ba3ec",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1200x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot for year range\n",
+    "\n",
+    "plt.figure(figsize=(12, 5))\n",
+    "\n",
+    "q_critical = 500\n",
+    "\n",
+    "observed_output.plot(label=\"Observed discharge\")\n",
+    "model_output_m3s.plot(label=\"Modelled discharge\")\n",
+    "plt.axhline(y=q_critical, linestyle=\":\", label=f'Critical discharge ({q_critical} m³/s)', color='black')\n",
+    "\n",
+    "plt.xlabel(\"Date\")\n",
+    "plt.ylabel(\"Discharge (m³/s)\")\n",
+    "plt.title(\"Modelled vs observed discharge at 07DA001\")\n",
+    "plt.legend()\n",
+    "plt.grid(True)\n",
+    "plt.xlim(\"2020-01-01\", \"2024-12-31\")\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 96,
+   "id": "494883ac-e9f0-4806-93d9-bb6a52372309",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1400x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot for 1 year\n",
+    "\n",
+    "selected_year = 2024\n",
+    "\n",
+    "observed_plot = observed_output\n",
+    "modelled_plot = model_output_m3s\n",
+    "\n",
+    "observed_plot.index = pd.to_datetime(observed_plot.index).tz_localize(None).normalize()\n",
+    "modelled_plot.index = pd.to_datetime(modelled_plot.index).tz_localize(None).normalize()\n",
+    "\n",
+    "plot_data = pd.DataFrame({\n",
+    "    \"Modelled discharge\": modelled_plot,\n",
+    "    \"Observed discharge\": observed_plot\n",
+    "}).dropna()\n",
+    "\n",
+    "plot_data_year = plot_data[plot_data.index.year == selected_year]\n",
+    "\n",
+    "plt.figure(figsize=(14, 6))\n",
+    "\n",
+    "plt.plot(plot_data_year.index,plot_data_year[\"Observed discharge\"],label=\"Observed discharge\")\n",
+    "plt.plot(plot_data_year.index,plot_data_year[\"Modelled discharge\"],label=\"Modelled discharge\")\n",
+    "\n",
+    "plt.axhline(y=q_critical,linestyle=\":\",color=\"black\",label=f\"Critical discharge ({q_critical} m³/s)\")\n",
+    "\n",
+    "plt.xlabel(\"Date\")\n",
+    "plt.ylabel(\"Discharge (m³/s)\")\n",
+    "plt.title(f\"Observed vs modelled discharge at 07DA001 in {selected_year}\")\n",
+    "plt.legend()\n",
+    "plt.grid(True)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1e2e1edf-f9a2-4d42-8de0-13e5dfc29fd5",
+   "metadata": {},
+   "source": [
+    "### "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b4a1bc95-7122-4372-8b79-991d1344452c",
+   "metadata": {},
+   "source": [
+    "### Log NSE"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 97,
+   "id": "0c3e7e10-16ba-46cf-96a6-9bb2d01f8287",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Calculate log NSE\n",
+    "\n",
+    "def log_NSE(sim, obs):\n",
+    "    \n",
+    "    sim = sim.to_numpy()\n",
+    "    obs = obs.to_numpy()\n",
+    "\n",
+    "    # Avoid log(0)\n",
+    "    eps = 0.00000000001\n",
+    "\n",
+    "    log_sim = np.log(sim + eps)\n",
+    "    log_obs = np.log(obs + eps)\n",
+    "\n",
+    "    return 1 - np.sum((log_obs - log_sim) ** 2) / np.sum((log_obs - np.mean(log_obs)) ** 2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 98,
+   "id": "6bcc0656-5f3a-450a-b758-e4c93e9feb07",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Call log NSE for relevant timeperiod\n",
+    "\n",
+    "def lognse_for_period(sim, obs, lognse_start, lognse_end):\n",
+    "\n",
+    "    simulated_daily = sim\n",
+    "    observed_daily = obs\n",
+    "\n",
+    "    simulated_daily.index = pd.to_datetime(simulated_daily.index).tz_localize(None).normalize()\n",
+    "    observed_daily.index = pd.to_datetime(observed_daily.index).tz_localize(None).normalize()\n",
+    "\n",
+    "    combined_data = pd.DataFrame({\n",
+    "        \"Modelled discharge\": simulated_daily,\n",
+    "        \"Observed discharge\": observed_daily\n",
+    "    }).dropna()\n",
+    "\n",
+    "    lognse_start = pd.to_datetime(lognse_start).tz_localize(None).normalize()\n",
+    "    lognse_end = pd.to_datetime(lognse_end).tz_localize(None).normalize()\n",
+    "\n",
+    "    # Set time period - Skip 1st year\n",
+    "    combined_data = combined_data[\n",
+    "        (combined_data.index >= lognse_start) &\n",
+    "        (combined_data.index <= lognse_end)\n",
+    "    ]\n",
+    "\n",
+    "    # Exclude winter months\n",
+    "    combined_data = combined_data[\n",
+    "        ~combined_data.index.month.isin([12, 1, 2, 3, 4])\n",
+    "    ]\n",
+    "\n",
+    "    if combined_data.empty:\n",
+    "        print(\"No data left after filtering.\")\n",
+    "        return np.nan\n",
+    "\n",
+    "    log_nse = log_NSE(\n",
+    "        combined_data[\"Modelled discharge\"],\n",
+    "        combined_data[\"Observed discharge\"]\n",
+    "    )\n",
+    "\n",
+    "    return log_nse"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 99,
+   "id": "aa07b0d5-9144-48bf-9ca6-a43812e30020",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">log NSE: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.6899179967067883</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "log NSE: \u001b[1;36m0.6899179967067883\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Return log NSE\n",
+    "evaluation_start = pd.to_datetime(f\"{start_date.year + 1}-01-01\")\n",
+    "\n",
+    "lognse_value = lognse_for_period(\n",
+    "    model_output_m3s,\n",
+    "    observed_output,\n",
+    "    evaluation_start,\n",
+    "    end_date\n",
+    ")\n",
+    "\n",
+    "print(\"log NSE:\", lognse_value)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "56592f44-6174-48c3-a724-2ed1036228ff",
+   "metadata": {},
+   "source": [
+    "### Days calc"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 100,
+   "id": "2d2cda32-61ff-4710-998b-4c4a5205cefc",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def days_counter(sim, obs, start_date, end_date):\n",
+    "\n",
+    "    # Combine dataset in Dataframe\n",
+    "    combined_data = pd.DataFrame({\n",
+    "        \"Modelled discharge\": sim,\n",
+    "        \"Observed discharge\": obs\n",
+    "    }).dropna()\n",
+    "\n",
+    "    # Make list of years\n",
+    "    years = list(range(start_date.year, end_date.year + 1))\n",
+    "\n",
+    "    lowflow_days = []\n",
+    "\n",
+    "    # Loop through each year\n",
+    "    for i in range(len(years)):\n",
+    "\n",
+    "        year = years[i]\n",
+    "\n",
+    "        # Define start month-day\n",
+    "        year_start = pd.to_datetime(f\"{year}-05-18\")\n",
+    "        year_end = pd.to_datetime(f\"{year}-10-17\")\n",
+    "\n",
+    "        year_data = combined_data[\n",
+    "            (combined_data.index >= year_start) &\n",
+    "            (combined_data.index <= year_end)\n",
+    "        ]\n",
+    "\n",
+    "        observed_lowflow_days = 0\n",
+    "        modelled_lowflow_days = 0\n",
+    "\n",
+    "        # Loop through each  year to identify lowflow days\n",
+    "        for j in range(len(year_data)):\n",
+    "\n",
+    "            observed_q = year_data.iloc[j][\"Observed discharge\"]\n",
+    "            modelled_q = year_data.iloc[j][\"Modelled discharge\"]\n",
+    "\n",
+    "            # Check if that day is low flow and accumulate\n",
+    "            if observed_q < q_critical:\n",
+    "                observed_lowflow_days += 1\n",
+    "\n",
+    "            if modelled_q < q_critical:\n",
+    "                modelled_lowflow_days += 1\n",
+    "\n",
+    "    lowflow_days = pd.DataFrame(lowflow_days)\n",
+    "\n",
+    "    # average_error = round(lowflow_days[\"%error\"].abs().mean(), 1)\n",
+    "\n",
+    "    return lowflow_days\n",
+    "    \n",
+    "    # , print(f\"average error = {average_error}%\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 101,
+   "id": "c04c46cc-b80a-40ec-b741-e78fa5168dcd",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "Empty DataFrame\n",
+       "Columns: []\n",
+       "Index: []"
+      ]
+     },
+     "execution_count": 101,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Define period (based on algorithm date > q_critical & freeze-up date output) & prepare\n",
+    "day_calc_start = pd.to_datetime(f\"{start_date.year + 1}-01-01\")\n",
+    "q_critical = 500\n",
+    "\n",
+    "lowflow_days = days_counter(\n",
+    "    sim=model_output_m3s,\n",
+    "    obs=observed_output,\n",
+    "    start_date=day_calc_start,\n",
+    "    end_date=end_date\n",
+    ")\n",
+    "\n",
+    "lowflow_days\n",
+    "\n",
+    "# NOTE TO CHANGE TIME RANGE -> EDIT DEF days_counter FUNCTION UNDER # Define start month day"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3d9701be-4df6-41b8-904e-cb4cda096e80",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Shapefiles/07DA001_basin.cpg b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Shapefiles/07DA001_basin.cpg
new file mode 100644
index 00000000..3ad133c0
--- /dev/null
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Shapefiles/07DA001_basin.cpg
@@ -0,0 +1 @@
+UTF-8
\ No newline at end of file
diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Shapefiles/07DA001_basin.dbf b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Shapefiles/07DA001_basin.dbf
new file mode 100644
index 0000000000000000000000000000000000000000..b554ebf7a83da1dbe50c12b56900a3ac9f7d6783
GIT binary patch
literal 1641
zcmeH{O-{ow5QS4gC4_|7ut2PQ0&qgpWa}nDfZ9}YN)fBbDg%TnDL6k%uEROF7{Yd2
zfrH@ylv%{~`^MvWk?gIPZntAu)?4RwTMXagF1uZ8v78*NSF16pSd}e`xX!IWO1mu{
zvmD|@E>*?fTU_q1OC>7at{(}$+G6B{154+*BXU%Khx_^gB;)WKr;sx~|2)6lpW@Fo
zhzw)@Q{biWFAErX$SO!VG=hgRX-9s(MDoC%ARR(+Z|;A|rAss4Lx!-i7ZQwZfym^X
z3`i0XL@%ZhMT2NKzD8$bIzgjgbVVt-F%<YK5}Q?71G*b1Pzk)rW}0rFI<Ds&V?7Z1
zN!M%suQuloT-F632Rl7<f*$LvSk5=azch~f;%RXm?E5|3zA@^)*skCAu*Qx)03o>8
Ag8%>k

literal 0
HcmV?d00001

diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Shapefiles/07DA001_basin.prj b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Shapefiles/07DA001_basin.prj
new file mode 100644
index 00000000..f45cbadf
--- /dev/null
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Shapefiles/07DA001_basin.prj
@@ -0,0 +1 @@
+GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]]
\ No newline at end of file
diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Shapefiles/07DA001_basin.qmd b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Shapefiles/07DA001_basin.qmd
new file mode 100644
index 00000000..74011b2e
--- /dev/null
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Shapefiles/07DA001_basin.qmd
@@ -0,0 +1,27 @@
+<!DOCTYPE qgis PUBLIC 'http://mrcc.com/qgis.dtd' 'SYSTEM'>
+<qgis version="4.0.1-Norrköping">
+  <identifier>MDA_ADP_07_DrainageBasin_BassinDeDrainage</identifier>
+  <parentidentifier></parentidentifier>
+  <language>ENG</language>
+  <type>dataset</type>
+  <title>MDA_ADP_07_DrainageBasin_BassinDeDrainage</title>
+  <abstract></abstract>
+  <links/>
+  <dates/>
+  <fees></fees>
+  <encoding></encoding>
+  <crs>
+    <spatialrefsys nativeFormat="Wkt">
+      <wkt>PROJCRS["Canada_Albers_Equal_Area_Conic",BASEGEOGCRS["NAD83",DATUM["North American Datum 1983",ELLIPSOID["GRS 1980",6378137,298.257222101,LENGTHUNIT["metre",1]]],PRIMEM["Greenwich",0,ANGLEUNIT["degree",0.0174532925199433]],ID["EPSG",4269]],CONVERSION["Canada_Albers_Equal_Area_Conic",METHOD["Albers Equal Area",ID["EPSG",9822]],PARAMETER["Latitude of false origin",40,ANGLEUNIT["degree",0.0174532925199433],ID["EPSG",8821]],PARAMETER["Longitude of false origin",-96,ANGLEUNIT["degree",0.0174532925199433],ID["EPSG",8822]],PARAMETER["Latitude of 1st standard parallel",50,ANGLEUNIT["degree",0.0174532925199433],ID["EPSG",8823]],PARAMETER["Latitude of 2nd standard parallel",70,ANGLEUNIT["degree",0.0174532925199433],ID["EPSG",8824]],PARAMETER["Easting at false origin",0,LENGTHUNIT["metre",1],ID["EPSG",8826]],PARAMETER["Northing at false origin",0,LENGTHUNIT["metre",1],ID["EPSG",8827]]],CS[Cartesian,2],AXIS["(E)",east,ORDER[1],LENGTHUNIT["metre",1]],AXIS["(N)",north,ORDER[2],LENGTHUNIT["metre",1]],USAGE[SCOPE["Not known."],AREA["Canada - onshore and offshore - Alberta; British Columbia; Manitoba; New Brunswick; Newfoundland and Labrador; Northwest Territories; Nova Scotia; Nunavut; Ontario; Prince Edward Island; Quebec; Saskatchewan; Yukon."],BBOX[38.21,-141.01,86.46,-40.73]],ID["ESRI",102001]]</wkt>
+      <proj4>+proj=aea +lat_0=40 +lon_0=-96 +lat_1=50 +lat_2=70 +x_0=0 +y_0=0 +datum=NAD83 +units=m +no_defs</proj4>
+      <srsid>27124</srsid>
+      <srid>102001</srid>
+      <authid>ESRI:102001</authid>
+      <description>Canada_Albers_Equal_Area_Conic</description>
+      <projectionacronym>aea</projectionacronym>
+      <ellipsoidacronym>EPSG:7019</ellipsoidacronym>
+      <geographicflag>false</geographicflag>
+    </spatialrefsys>
+  </crs>
+  <extent/>
+</qgis>
diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Shapefiles/07DA001_basin.shp b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Shapefiles/07DA001_basin.shp
new file mode 100644
index 0000000000000000000000000000000000000000..7f647ec77e9030b0a00338c92ffdb3ab082714b7
GIT binary patch
literal 1628460
zcma&tXH?H`{6FvpN_)ykQ;8DV+S*G|L{p_wv^SDcni`~C8X6k3leS1xQlep1qD9IM
z^?zR9bN+XJ=Xc}hhI1ZX<GSAC^B&jdgMwlw9mW6lhruOzhMIz6Jz^GrPF{0<WYwns
zSJ2RwMNf5a2y2PWsCirEzmE)ez8a|hZ{`2v-zX^<Tx|X?y(m!_6-)lcxO+Pfl^(Nd
z+pDkd+Q6!(%JRvGXA*v=^Vd5ce(T9|@;%%d=Gk8cTV-qHZZNfKi<J;%%Z67x`6p>%
z=G*BmMesi!;T@vzxYY0RG}vocaY_XKJQ8>88f?K%Bcu;s3dl?ig>Mf1bvOh!H&A|!
zfqN<%o;blVRQtaN!y2khOlM)m&}&9fF#ofl%uBFS7b9y3Tv{3RIs`7fdgd&N-}*zx
zn-BA!NxyReHr%ztrV#c!y+jiRQ+*E2?SjXJ9_#wSDtgv7kKt=-K8vpKaZ?74=WtTp
z77r(w{fEr47qCmbbB_mn_-lC65<I#&qSpa_Zrl9tEBtWpppYBfWqh)d^0-x-jHX^8
zsTaJFxl9e;%)d_I35y6R7P7()3oF5AVY36lAK77z8>-{pu<4oY8T_yfQ<??oXLiKt
zl^}d~b-b3$SGz!_Za1vUNcDr{%T8SRDFz$ps~--8->mVM%EQ_8p#vnpfGJ=>5vIES
zVD}~1bX4=PI$W<leum_;DCN*-!H>8$caZ(FRac?W1lHwI(IokIE@l2b2H%xGmmLA0
zX<3ar1NVPOK1t&DG@W~0;5}MT?vpqNv$}T)>}7oFH<`cMw)XwEVR1p3Y)5!%%VbLv
z%=!JLwKdEXafYH5R^*_%PvUwp7mNPFDK~cfJOpbi@XW5l+h1rLF@+-x9<{GOf%7%~
zUxEqjdBk}gExenDd)@-hnytCV35QFDoFVzU9@zZmf-lo$JtE^V=xi9`f%_bF*IB}G
zK6M=Yuw=|BYkPPs*YfjD*wK^zrY+1B*y$+-&lD*bd%^xsJoF{u1hzNV+~ETkL}R7l
z{2kxs{o$Wp!;Xru<d*BAzHpQ8joZp_NkHM1i|{bJ%4JP>`%jgQ^KkZAsz=)J_glui
z<nzE>aVN_VHYodOP0s%}mcDNf!<Pzw)knfK7QNT4VSV#WawPxiSlV+N*d}wwb@KU%
z_WKm!2IpUvU=4>Kb+vbUz;O)9XXD@tR2&zBU;`n=InvK{=a-gXnC7R32KjvU2c@P)
zz~7%Yhm!n(UjbuL@XFUmuajY?AN(~5@I#9O+i$?Z9UFdJhc|U8`)9(MdKTPQ;b#uL
zvgG<;tj{<};xc7pn)Ptur4zIyK0WKWp%MOUOu>=_ADs4edj%&NeetV+|19ykJcHj2
z&(v4JMYG!<kHWdn{eM4)5B+>g)d#l}1}VIRXN5*ApTnJ5*SqH7(c$}BN!+Y0kM1+<
zr*+qd#04je-+zO3(wC}9|6@;+O8&r$y`2x{;1cOK10=o>8FBd&d_!e-3W=N4m?vyt
zL%(Cr%_JVfy7kCL`0~M=gTLV$FIU!Wg>}P5PA|hYPwP9l;d$l#;v~-dBVtGz{<hEN
zD2WTjY2J{7SFdM}{D6H61$A`c*~-q<MVMvuEv*4;nPE&r>hma5JzU`$Z;r+dW>#$(
ztL%%X;pdN3|Ixx{3|4hK;Lpj|lttmRZ_8nJu+*~?e??&Khm4};@a-#O`!B%bM>g;s
zfQ1?)?)bsg?#3=6uv+3m_(iy2*tk@P<bO@oAo=DW0*-8l?fngTF2l|fehFlIX(d+1
zFTs&|Su$*}qfKdTI9xxL>dOop`kH!&!J3(^+i2j!hSY~*;Is$z=Ih`~&3EXc;JER(
z6o0Y5_Z~ET9}lljexdRkE~KN#i-qlJSEs+g)Cck}+<>W1EbsUXcUm4ga2@Uu*xEY{
zzm)#OmIf!%FwjlGbJa-$$#C0lsfsc9&QwomJ}hvTS$r5a^W<8~h8?Kw&Od@P^-4wx
z;rb$j`w!p*#os1*@D7uk>nq{Ep3F2A@HSi5&{DXsy5`XxSV=i$*DW}d{=x2Um|c`b
zC>7Rj6>{x`S!5@Ja$ts+LVTmJ;9A7rblAq~n%y{j#Q3-=sh<*HRh)$9Xm%u#{IjdU
zLGNLT+e@Es!<m0C?O%rV>VjNIetpRg?{9EKmhNLRA7PEJ!c^us-`_k|FN6mlc{s0w
zpD@H{-Gv!@KdaHh13}uaNPh71b98L5*-Yvz+5Q8j-}aGsQN&b9C*1UTt(F;P>2tLn
zfqS#OU(vz=8}9Lr!<rc(wv6z<9Mz$Dc;y3|0tZZO@tt)R-k`FlZ8ID!b-sff&swT!
zgFW!e%!?sQaIBXRohU4s+Om`6ca4uv?T0T#+dF=MRSPw9_rkhw3K-tNOg~JHD#2SW
z&PI{>=m;++tH71p3#Z<}S84n_wBV$cg90RfTP$a_4*a9^?*-CNqg}w!6mCn{`J3dA
zrj5Tl0)OPK)f|Ake9aq9z}mjrVNYOfk$e6mKUq0$cLyA1RkGV2zI&^rs1;5vFm`o>
z@AunMcEKjT>U=)1m!n%yJFM}APV^#Nvt4nToR2z}qK^2Hcy41MnNOtg*B9quy#PM*
zpD<6$xrz{YaOP&}H&}F5@@pupu4lANJ|CKi4=<&{Ss$zJkhtj=N~L7@Ny_@83-Eb{
zuX&a5#fs`f6L3I&%XBsTaK^HT>|ggjxz+}lYM^DBj8DD&Zo~uF$FzER4c56Rc9+B#
zf{)fv;qw{0SmH<G+bOgjY=gJbNFDBiKR(P|+YE=UXHM*aMdUQi_+g>;RF`LP`jyNS
z9++-ZK=}}SQA>GA7?z`qv73Mu!rr-({I@$j3#Q=Sm`k0z;F7YC6HD-~Kdc%%V9r9f
zjIXe`-rX!Q_~fHNLrM#)wyuSJTX({72_Dy|;q;Im@4ayT$+hj9;kZ;!aT0%a;jhhB
zc-56AlElThsW?R7k{hSi?S?G|>C?qvA>OEa@^H{dg100*^RN87EIeZM=#nD5GV<BN
z4DPa%E|i89*!s3x!lFvY#N^@O^Rojku)KS#F{!UG>bUL>zfbzUjl}(&-LoU%RUPrC
z+OVwX-EE<;5+$zs@S{FC-x%0~eR}>d{B!k4HOaT(U$@r;rua0*a1A~)l0$0_H{D*;
zi-TDdAL(1dGE;u}$#6T3kk>IdX3r_dH295`%P%u{d!gr+61eFq%b*QhV-$M42<|v{
zfb$ew6+&BC4tpJX^Vu1GT*J9o1}i7fOSr&Nl4&}%@IBf}dT+RAF*m#l*2|qV^o8>q
z1m88lQ7w@of$)6_5uSSZV_D1DAovg0ZT~j7KG$$C4KAs^?oRrZStW30!c6O#x|`w0
z@)C=A@F2t5hDJEbAV8u3PAUnoc?ciw-^x%14=Fg@B>kqO9gOb6--KTO?1J}|6jL?9
zzvha)N&fKr70nj-@HXBjy)d^ZTlhPer@@M<1@@}&?4E>`c%E21h6mh+_O8NSXTBK!
zH~s@<ZwgDRHal92GSZJF!daLJe!n)nlhpT=jXSfz3sXuVr2h5Bb=!I1EXLx$WPa&X
z7j5|98d)aOZdh)XMSdszG^;t0<PXZmUEBrpbMSxahj;nb?vsVzUiNk(`Hzzi_#A-u
zt2}@34EFofcSsc;*7jc``SpfcbjonUHLgO^FVbjuN&}YOS3gDO>%w4|qXyRwo`@#f
zV|Q=loG#2t^Rts2pZTYUWwc>os#LcMm{#Z|vmtETCs}p}mQOS6(}$V)hK&p0(A0qf
zV|Z_{TS6Xe>!fXW81@rmkxhq3SvwSt!#)B<J}L03#+!Bv_${;T&fD-A<IeFg_>FOL
zDv6)UcHoVGAM!3NWy5dp-hK56W;J~j?FX~%^x^vgt8mf14}zZ@y)L)K3fJ%c5ED08
zEYT@&8*J9pRz~vczqcF{fT#7BXT9MN`46mo@GbkAgtIWqg~&&H;6W8;dPn%{UPsz}
zu<KTRd(zKn!-hsBSVkoIjT1Z&JGZI=pVoOQ>j^u}4MiV?n<)erN!<9sgML$(&*p><
zi3k3jk@SK`9wjQ0{#Uan{e9p+mXDH1e@{M--Iw7~+g@g8cs$he!zEbnMP{81yyD=Z
zp8==byHautjx2YeNrS0U&5s;{%MG&LWy8+OhvM|$jOC=vEZEOqKw1r6JJ9W$5AUjB
z^HPEJ6d&x*gZngRHk0dFnAZ09<#5A=w(I-h>q@&ts$k96GxOwmu=V$G%KLCdcfSb9
zkI{10Y=mk3zlV^1x`in`?eO=77cGkLsLma`M=<AyKU|vdF~5zRgYckF)isjudO#!V
z1-z*KL;Wz^9qQxv8a6cT2`1Z9xih8VEnF=zH%hiQp0g|Q102(Tf0GHU$-MY-1}^*Y
z(%k}9IP;v7-rA}y^zfZ*QXkW)dXpJ0F@1f+8kXR2^WOxQD<{Q~eBCR>jho>pnbMD^
z;2l?~-GpJsVkTRXU-?wCN(6TOz~4ZQ*W)u;_A)T*RbNS4xHI^}Z8=zlDf}uqUUx%I
zNgaX*OB~fmy#7ONfDxQ>);oj5Eq|^PwSpUxb2#kbm*Up$C*h>b5?6A6c;I?P#}Q7T
zRwyC)JbxyyI>D63)TzB-?bmdU?y$4wQx$Umh-h;u@q|4lhg1FGkD5uL0kFEI)vyoD
za_LX!d3a32PW&QVP_!dA1m2=EedauTPbPjk6h0U@^YAi!p6Y%}G(1atnj#nu{J4`k
z7EX_JGK+-Im>R!Igo|%ZCS8FouXXSx!_&@_pJQQ<TVH->!e$#!h?4u2sg#p)HoT3`
zG%OK5*3tZ>4DO(m{zvj#MHHpWVQ;H_rsV#_eklH96a2z+tv><&bD2Y|6?SI(wUgYh
zuF5;S>4PK9?&XkvKh%~4p2922cYbHUMX@Twui)W&OE1zd-f3{lTX@@)QSVJyTZ^Y}
z0j`W+R44t)zuse6gdeZI&CG>6QeV%0hdl~+jgtJlz0LRj!hC&Sr|!YGJ!TT9PvZS?
zQHGD)pG;24Y^8<2Cov9oz&#J`zcRt*iuz3C`ub;$MUE9743#=f?k_S&nT_P(18gS-
z$o+8YXkVftTo@|9i{vvkF1x71jSSWf<o+<kT2rYB2X!mAbiq%yjz=57)8kevWW3VO
zoTrBH&nZO{a=nk${2XElyOg^1lKhoN4UetiZNKz(ko!YevWT%aY~C3#LgMrGtI59b
z$dM!aNj%d;T{jeNzG+!Z<{STwH|`4D?kYj`9B$%QJAD<7n%=KW@`pAHmc_x{YwJ@+
z;o=$1D@pK63d*4u@CRwpo)p;JaY*zneCoF0t($Pwm+sTA;68o1nH<<PH@)pWoP4F(
zpb6GGY*<11nS86d)&jqg-MVoSF69|K(*ZAs{nH@*Ql@&#JK?5#omn5@z>4|EewaP3
zaFp~*?VWux0MjzKOMHT96zGax!i8sb-R9u4+jtw_!Q&Tfp3$@8eJ4-*#z$D^uq5L~
zxbUaR=q!B3{D%W8EX#kf>I=+X|0tIU&hLx;xeS{yhOcabt5WX`{D$Se8Od<K0Xrmj
zueY&kOVy=WR)QnKPE#|$`Zv4wD8PmqkvdFp!n4qDb@+)^Ge0NnU9Q@$3NKquI&#5%
zdsepU!mlVdtMb6FZd93S!8UFOukgVd)@RBM;mTTn>z(jrL!NnkI4z*y)-L#u-E;M$
zu%X?nz<sdYtI$hF;H(Qw?Go^N1-TJ3_%4lB#sS!0d5Zlw?C2l(P64KxO>#L24;0kg
zSA!dU6mMI?Kh7?$YQTnPK2bQpb&4V*`mpGwcttx{-|X~uL%6+FIq3{+*_ZR<DE!Fk
z)xc@kUgf>QaoBP;YL^Gxew2sP8V+F*bZ~`Lc^u7cV9t;I&A#x*;T*}+BtPZUZ!dUZ
zWpA7ptn5`@lL=dE`JO%pzlm4)k_Mj?dQx@)-k>p|lLs@fvxi@X8|IwCvf)e}_uepg
zaF*e95ga^Hn;!#bZb{f&0O#0mnu~>Ros#gp12-gFJ-h)2b61v?z<tVpN3!7C7JHfd
z;4Rxq*OK9emYSh{I6pBsI)lVtE`_~?-(`walKSQmU)@PK_zHz$8myvSwXzInH0Ih}
zhfO|6wSI?RtT5gt`EI;JT&u9+SV=#bPv|j|R}>srkMZBckpM@0T$0)de_FdM9|fn?
zxc{byA3Y84Ao(X=m6dSAl2<k_gu_nSyWDwUuQIzP61QHZIwuFmxQrx`@eG1OYoy_t
z5`%HFJsniMjLI-gl5AW)d?lYfjO4$xYSGDqImFM4?t|&##RZDtFIHb1_rUknN=}!;
z7EdBuNx#jTwjHd3MZ;HCB;Xr-8R0dsuj(}u1-NMB*uqmduxS55($ArMV*el<l=3i*
zj29VFB}ip!)t1}NazF^KNy7p!%siBSjf^+&lAW6kPTVa(D*}%{c7MSP9}`J0C)-=v
zb<u7IEP2k*mJ5Dpxa+nsyvuRuK8ZUY4q;S-PbbG0a=@QPdOKC%@eU?K26((-Ypxc&
z|Da41+22w=hoY6>vP1iJ&fxfXM<<-pfTMg**iFMXf4?wLfTJ7rDIUScHJF4+|Cx9n
zg$J<eX69og-uCUo{@d^fyOKDGUv^`5CFh@3%0eFLe~Ws3(+!xejXjX`ui7T|^BQdB
z$6rd~(thcm0^r?;Rl-QTSn`309~|tzMdSdyc4V8I0W3(ji&7Q-+OA$qt|uF{|83a^
zTO2>9#0)pHf9oavt{L=Klk4BMKUU#nei9Vw7L@Ss?MF|N`H7o5C$HlA8F{LC3+b2V
z_(tgm%)GCBne3mb<5cIq!b3w`cgTFioBjFb;f;Fh!}Z|?%`}S{n8v_WRTq9q%}o6c
zzFw)cYzjXb(mgi@cP8bP9fcn(webzYf>*9wv4BMmj9EN|(>iBW%;4YUN2ojDN}I0D
zHgH9plky|jjZ$pL3O;Q8ZkoK`XlraJvxhC8f8)Ck8>l-w+QEH)UAoBo&Fo$k6=ztS
z?h^G~SS~jAw<GKx^RuJ?&Jpw;bcJ{BqxnGIZxr7?zj_vyqYI8D?>C;jc@AFiA+6Z1
z6xj9vHJ=B`Kexdn9zHGD_sb7XHDE2h3h(<I=SuR6YpGW*z(O02Xq|&2b}~wzgDLJ+
zQTW66t-@b<z{3F^qZi>Hj<H<ieStReS>grw+xHEv4shGoXqU_Ijb!>2JNSt0yl^mV
z6?7%n9RA{$vlb4Ytc!Sc9A=oc^&$BxQ5QtDNxc}$p(wcaWT2x4Y`EW(CIar(`@u+_
z=TAvItiJ)z*DZ$1z!6*cy|2U1D9?(D!}Jd~{40c6eDq!k!3?Y?@8y%YP**5fA1>;q
z4IGEJ+D@9&z&FeuJ$Mbj^s}sHhW&p>-eI)E=WpbtAz9BlyRZ_(0jIl(o!~_L*~75o
z+u*KE@2`{f<S2cqDPB0g{DHb4{6XbGqcBW6<{iWb|JAxlxeI=l_U?rUJehK@N(OGY
zCTBqM1Jj0Gq+r>1Prh!2KQhns8^P99C*F|xoc{MO@({e)ed!9Bug%2^wnt&g8&})b
z!46-FhDm-AOA9kuZ|l0rbJrBMe|}t#tY2PjIsJ;n*J$|;lJ&?D-r*V&uk^ZqfvhhF
ziP7ychW9DX^pN${qfH)^W^lDe@OrX7SQ;18Nb=W}a^1NPxAR%k<iP=%UHdZN@=WVP
z`LNSRp(wK6EA8~}UnShRiDESicB@^dQ3KEBo0}HGi~T0tjj&PNg9MUK=XKJq86I}r
zI{V*xuUNVKBRGFFP_P*BOG2%|kKu^FLl?;UcC2CiSGrSJpHQ1_Pl5-(-ao(yue$Bu
zb`!o%SCK9P?^UH)mk8JTe|WbWewSltN#>hDo#?CrQ@re?BXRlW!SaK!jW_)%62IGV
zo5cz~@;X320jAadW_l8)zkBZ%Sug*^Z${$^r`EsZBK15av=7d}{y)-Nqv5ZDww?j7
zn{m116<9ZcQPdB1_~Jbt2rGEAE|kGPWHm}1Vf%Lh66LV#Nq=hcece-~k?TG1{7>5X
zQ?Rm^{%9ZUX(Frc0#hF=U|ob;KA78+?+Yh?7KP2hZ9OzK<oihH;+thtutbI2`NMFt
zJk7ah@Je%6JtMqsjyad~cm4e-hy^|we~{xb?7$t>zlQJinamF<w!&+pw{K7(zR4!0
zya8S>rSg6WaVf3zm(}o~w^_+Ic(Clf9-06Ay7}KzaPh!^KposPG$=U%SC(#1u7pMI
zp9&p-XI81)>S3pydd*MZ6NbhUq#v*C7(+AsZ(!ejGTsZfR;>m&TUq=AiGOY8RL+Ha
ze5qSV+{J6f|0cZWl*N8BUdYdg&RBS|d)LNh*j4{5WelA9b9#}~SF2ynafX9*Mf|(q
z|NlFNFCQ*8ll`G4Zdpj;9|ZrnjKCYV(rvYeS4L}pzk*ke`t<m~Ckp+Zk^Ni1sj<!r
z-k~wd^#T4U<ZpQ%?yg8*T!8m^s3rTuO!<^D<akB)cz?bG|EPG#_ycyiDKBynuKO*1
z^cVbG?M(0$*x_6i^#*$!-?;g&BtPW(4n11<weMzwNLYFO2YzOF>eJvAl0WWk>BI^%
z^RB)o+us|`qq-R`<*VT$+y6-~Eqp6Hp7Gi}5vE_Yu;z!EcE%Scz_ncC`GT<OLLFrq
z{O8Qgz}+w%rM*HjymyTMp%|>h5}io)ch-~XbV)enuEdiJ*yg(Hgf!ekb6hAN{v;%E
zUlFd^`^TCbFICl+HD&n2;P!jP@QXgJas#;UvDt2tpLlQdyCEE3cJ6W+aYfdXWAN1g
z)+Unw@rxA430Up+UXChQO{eLh1FZetID+I;nVHi$!QrNEZ)@N&`M39d;mFPq<8pXC
zcNj$gY!H}Ua*xzUZm75d8wuRpPWrt(Q1v5%<Zr3*CFh&jsl|(#a6}`w0ExRCRFqAJ
zlgBppkogSod}qpqe;o*<E`q=L#)pvn`SYeGWPhz)K4^9e-gUn7D%s!cf8*FlK5b@=
z6geL8)rxaP@I6UEH*!3iu14J|fQ|36Yzl_UK1*CEgMHov8j<tk=gvz~C2()$nV;nR
zt88*=Y=LuHvTnJ+0bd2F9>71Jm;E7e#<`BsPI#X#y)-#LE&Z<W^}y!En`6oOso&N0
z^d-C|-MvQgpY4d>GzN!_3>_!q2?p=`{0?6JB6N-9OH2Hbnu66|i_cz$4fbR)%)tjQ
z1qzV)ev)!AS%9r;L(h}#sfjPAT7iSI*glc`Yp1X1{)Oi`xitSfAN3#q+US7yCCTJ_
z<ou=nmZ!o1&wol`j)Pq`t8=l#rH0RRNPbLu!#N(3f31h27M9g@I3fi5Sp7Lbj!$!*
z>f2rLkLOFX?Qrec&vpCY9fI2h+u*9cz8G0}OYR2IQMfLVtA@m5o!=~t!>dKYMuzZa
z4RvQ7T<?sy{|X<2CAV1TX~ISFytQVq`sV}2<o6ne-9N9|z(SfvG356hl$lJ=?cmS+
z3R4!ae9y;HXLt{l0k;|a@CUEF8!VT@+vg1Hsr+U2g=MHj*Pn)k)3%%W!(I>BtjP6W
zGGt|65ZrZlOES6MGw$aL2!=E7uYK}?v+MsEMZmh^R6EJ<Ju<RQ-o(JiMS5ObhR+_9
zs=E$X@pLi=!#4u#|J{J68H-Ox!f)?u4rjnAvAH?q{=}|*p8F=Le;o2F79QGZ`7Iwd
zd+NJC2IinoQYeCpjvS35_dBf^fA+iZ&nfkGa(_&FRAXKN_m%T)O@n3Mr%2p`-FoRw
z$nP<7yhqR7hr8Z=C?WS}<4xJSI^p!j3T~1g@AuK88}4R{^2vpDa!dGL!n*|2Kal&e
z#o+JLqwtQ#&C2<(&6aVMcW}myML&`spCcYI2{ZXW>?h9)GvO>JXW?g~Ni;>UjJ;Fg
zJlwe6>0~+lW>zm~8Gg7VomvJPZ7=Hh1`C|t@TCS;Q;W{}1ADxBDpCcH^v=Ei2diY<
z3?{!nV@v37TIY!8kF-<w@4?U9CD+lwOnLiQ+u%b(T(216>0L{@&9Lmo5J49B>V>9U
z^8M^0z2l!vaQ4-JG4gzsyQUVs4PIuaj~;?`xJB&*;NZds?E^5!*v;Y{u;8o6t)rwq
zDI!D^{`^zk<OTe-c&%#>yyQnwO1@8CTQ{2{1^?Q1cWN9~c6XSOfvw(qD!hjWB&c+Z
ziK(f0NI#oX(eX#&=6`Lz<oj6qGw!D?U^yp?yQH6rN%W7CaJ%ZT)gs)%uN341pSu@D
z^O5-J^A10F<%-%#60cd8<r@ZTY8nra?{o7*6`I3gg=4fL%dm+GrRxp&w+?L@`94@8
zzOW`4woY&SLY`kEo;lm+!}0B<wxr+qd7;od@S$(cZ7g`+rBh<EsDXpqM}9HF?><XQ
zG{QB4uh)cOZOt8Y?Xdn?O}QQLmcE_4df|M<nPg4)<bEE?LAd<8&Qmp5RPuw)bNI!=
zXJLKVSoSsFIQ&Ok|D+C_6kqK08a8xatUC;+O601(hvVe67Z1TE6P}SDVERY1TBh(G
z!810WV2900m&o@6_97~`7h&4@*DuI=Kl?_x;2&^6ml(4d+-=X=^$R}uzSohg*K5D0
z%UOdv^)_Xb_5bZ0TXu4swrV@26kc5n2WxCJVua80XkH-SfAUuh3X}M*Y5L0@@YLe$
z>Q-1_LARkD-q$}A#|!7>csmclzf$kjZH9}AW%rZyQJsb~<vsA@9&=58ykA?Z_HB}a
zE6&AU<bmgue#<DqlbmhiDlpHGB(nybDm~9m))U1I^ZbqA=r2j#j_^BUi)<Zu^KbWS
z&hX*H_`Qc<`4d5^=V8OJahjuWyh>hxKb$<fVq^-J*z6p*1h-x+`>&s4$hy?a@Ntda
z)+31L{fSzPhA)H!eAI(a)Y{*Rg-;eI|JT1Ra*in(J{PZYTnlmg@%9&~u+;0e|N6c4
zeks)emre2?CgZ)M_~UX94m_@#dIC;zzWAsWF8EX8aT2!0?+TmXdiQmd_V9pYR_PNs
zV2|_Y8CbKYZmI`<B$mPN3a@fXD-6NnQ4}lQu(Y(E_W+#zRz}Sae%<}JX9T`8mbvvJ
z{KE4k)eBfR@}=D+*wx6`{0$t~wtgWIR=VNxU!0*)S1K94STbcs;*te!%_Z>g=W$9>
ze|MpA{T;YW$>_g${P_902AFwFrkjk%@x6bw3BKuE#5V!|_~I&D2Mbx$%}l}UKV8>I
z+@F?a@h|+hfO;p1pS;C+Zw=lq<gC*QU)%DGgCFZnj0|7h>tRO6cdrED4h?!;5@(qc
znNox!-o$v2`0`uXQWdx$Y_6WnCyKs+N(ZLiGeJY<E78z!{ScgUU-57`vG%UHW3X&j
zmH%y0zqYsP1e{c7wzm*&KhtJ@7;Zf^V44jJm$eI+z>X`z*|~6puH<<OSp0C><8*jd
zP*TkrR?=By%7R0-=BGKrSz1;yWPiSi&9!xg7hg0VC;eip?OLPZZU(+fsj&NqO++m0
z7WIOe)Kl51$lQdR7xv4NdL|LY)g1V>s2&T6fBPJ<t^p1@nE7Aa%sQ;E39g=9`LEyM
zoMpid*gEP)e>C!24^CD0z#Bd@ej&$ut~QHx0iOHS+ePM2^EXd-7WU{%H6!yAU^xHl
zH>}Y+98Bit{lc&9FPtBy*iG_HZ6>+abK>(&L6t}L$CKFiMpSUt+NcECf5*b^t+K)O
zNqO{S|FcNc$gsepf5S5?VHeBG(|mAUnXxZ9ey5_(ZRdeq1JyS)!&he1`ov*6Ew;B0
z;p$|mbz-nb5VJ=Yd`;wcl_K0}JE8LwUN)VcI{^Qnnjak^_1pz%da(8`4$3ER#cG4?
zA^0F)@feBsWsjV8ge`w{{TKHa{k+#19?{uUJBIi=vF(Z(Fx%1faT9Q+8>LSwd@W{X
z@GE>vsY!es7Q8WAx&oW`-*6m(k9>cBh0+PfGw`a*68!!8yfrP{9%h~Y8P?dfCdUkG
zd^ISc*@WkL3wpLq@GkGolk4D`ow5tuFjd~akK19-MV$^o_)J<m?>2bbr_KBK!lKQ4
zo@>C7s?u~au-djcdNugyQ;t@3xQsW1%Lg9crJSk<&x}hNdBQbZToVScxTa6xIXI2w
zV1o&q5GC-&5AHGLp*DrR6>Oz1!E~Q>URlCxH1w{4ux0YtngdKTveKOem$DWLpM*8`
z9J`(a^JnSnIl-}el@}ktR?N|Y?r=c;Tj5qxzejg85dIV)Ah860E4)z^3P-v%IDdwv
z1<ETEVUs$BJ`pag$LJW3T!q!?18<1JLXmxZ+3=5#uMfGwTHnpIQ{ik@<4vA$ltlPw
zCM@u%;86&Cte1fz8Mcbw92*83%M0p~{Cj8A-d}|c&lk8~gMao{mBqt9e+^QS{FhN1
zEOOwh_J$(ya6!DU;4Rp0lY(b1OyOMlY8uXn7}C29SMbPlOu<4S#=_-r%-*~$f8nW!
zFKe~%JBuAhe#6E-XDJ@Tz3YEfNp8k^Cqt8PD_q5S@q!H8_S1`s#3Ks^f{ox=<pvQF
zuRM87*BI81m1}$mn>NP$w1cm&1xz%-+qjtV41nYJx67yt4&R^P9S^@1{^R=qeyPK$
zcpX;pJJ?F<%QlH8ro&9y?$e}x<#B~Y7A*FwMx2Zn{JFcT04{fbbF?1rkkz|z8=mkw
z^O5AM#{}-W4{LMAGS<NYet(u4;m){92~uyuU}^XoHns0MLF&0n#y7o#n=9D!8sKjN
zUtMS54ae6mkojE>^eUK!n|O6|d*J5N9h5X%aJ_q}c;Oj5C9ZT}9bDjiH)jmqPaBdX
z1m{VXoS%S46_@%1V5xZZoH=;&I^kU!aPhFx<0)8e`Tmj?T++;9HUq~U8q7WpXNj-7
zMC$Ed+dG-VQJmTqB!0>!!qpqL-E1MfNL;s+?*Y><_XRD%Edwim0^qHQ6DNMbYIkiU
z{b0Ap$MaU;MHZ*%Ah>G1YapdFo}YcYA6$SduYc^IhClE<-5dt*@c5Ta2iq}<9S(tq
zO#^2c-~x($MNzQV;Pr>>aF$Qxn{fCA+a|_M@Xm^8>3BF@Y|lq-IJxwV%T>7gam_wn
z*kSM6hd1D~pguZb_)wMjpKCCy#)qukut$byaUOj5M)yNOc+>7To&~UFmtPKvzYKZl
z*8(p-KKz)(=^CR{9>5b?-ew|j%2Md3XK;zT)+K)8KB>CrFoXM9HZtDJ6XN#M@V^JL
za%4W4!>`3=VCpB|IY?YsU~oU>R$O2D>*Y!OqHf3vHOv(G;RzYfKrrAo2fV#H?<?6p
zmjxkDE;wajFr17>$<56x0_Po!EZYiCg?D}24JWNMsE~eI3@u3taAg+VRx(~^Jo6Jd
zSSd^<dOv(#;r%5$_)Tqsy&U{UV9&ji@bqKNn1gUM?Fw56+@C*DArGI?s2vZ5=eVw|
zD8j1GiX^VWJL-NuSBE36&O1lJmEyKeI&f}8A6Ggo^07zF2-bT*XOsf-4ye8`fd@W+
z_*(=I=H00<herx|r3&C3KfcD=!b%kraxL)wla5YKaQ$m`k489P`qv*9cpcmH_CC15
z$?b(V+~3T4tQ!{puE^&Hr|A4DeFpn&s$L0%uV3Js>W5!5PF9?UD}KvgeGGRrKXizM
zJNZLb+F-hj#cknmGgbDjdU*fXqk%-2`{FojHEfghDf}8d+xDxW1b%w9P9Yo4i`})0
z%>M_+tEEg>Q%Ywr6SjK(HMkO%Y&`FO0}lMiE?W+#Kgr-D`%ias+k6uoaq@0lI2^?K
zI=2Dtd_Eu>1eZMvH0^>l@4qYvfT=5!86Lw{*ZvrKz)>%2eJ5aR)%Uv{;2i~>qHkgG
zSo-Idu;)@}!&lgkb2Q*6e0o=c#}d4`pGv?0p0r!ru?GL6AB@+6%P+EDTY)DNcTP&f
z*2mP(Ql7#0H`^JuNWwd64)K$G=P8+Xa=vx#Klf)n;v?&~{N4$VEMKmqhUtYh@_1pN
zO(ijOaP@@XC^u}O(DIYy_X(dDWq`S(-aKP~v%^l<ZG?X;%tVm<@ZwN<^7&|bx6Y0g
zPRu!}wu;ZsY$4NTX4s53X8t>D`&Xfl8&)2WH~RwrkkpskOychoOW(pDwwSZ=!n=x`
zCSSpPG<IDiKSnYshJ0Ry6J7EI;jH-6?d0=(k>w&2$)~*2#z8*sZypEF2*F0B*YwHt
zK(Qn7C_j9FXD;gwOjDR3E&{i;+<#sI7yG5ZC;1^O(-+D0CHLR;7BTpkRCP@@T)HpQ
zXE(gu{njc4j;pYJr3se?{E#EpuYZGf*VW-~mxU)o;f+SYw&&r;^7m3);p~lxrGaqM
zOweavxJYbx;U=sV7PfX8*5CU>CKu*5)iNd5Yh|t{EVp5vd&5^reX;klc?sM#kTgZ=
zyPUjdTHpW$u?P}p-IOQs0G^JXc}?O%fqo2KaOpND4st&@5L#^7L*i8eXUX-v`_OhF
z%Ck5=2Qzpa;FdEl##Rw;UY_Z+B>5ESHR}=YOVM35gEs~npP`0_@=}V9z>gYPHRxdf
ziSMrsVegyWziHrOS{f1Le&rq<HpB$S@Z>bB!(v;WZfAvWRvhLqfHxe_c*X<!QTz=i
z`JW1tw(-L|pB29({p>qhZcD@2v$5w%d@OX!S6O&?QT7>$4@_Js)Fkn?CM8|?tnbG!
z+OXYv`x|6_GR9dwhH#KlP7ldXR-xuR0)Ob%<R|yf`lD`L*6`)g%2<+rkZYXH7Ix1+
z`kriWf>FZ4X?W>E*jAE1d6rW43>+9I<arY2KX{MD6F&Xva1q&G2k(hlc*9ZJU;f#{
z&by|h&chRXxTNf0i{F-)0^zKuHPL6_7m2T1Z^Dad%4wwjSBV2%E_~Da#UiOMQ`qL&
z1eaw~b&>hR@{~8Wz}5*#Jfz>zLTdLun29PWn$%DBo!QX?HwmtjItpj=AFX@?A1z!M
z)`ypCY8_v}dQ#Sx$nh9SHCCO1m7)*Vs=^oItG~a4IlbDg<>1sU22Vf2uWhStNW<~o
zWnt5B;;kLZd*FND2W7v)9@>A4cfy0R`#ybv<rdscc;R<@TOR*}59b_@;)czJw+4QP
zf8Oks;DF0Hs%Yt4@P04v`J5iEduM6F0AJ%<*-heKZ_Qm7huPA$$ZdcX>TbQ>2OrJN
zjAMdtaOEZ_!>_7ER%qdhRhw~DSbgR8VOF?h+#=2p=28-BBK<v9lhqAi>5WAW)bP9@
z^L7(>k-;{D0^VJsJ9rqLmzdJ{h3C0t-{#WeaK=FT`R}ldh~y@cKf{;(<UM?lH)qid
zeqnozdJ@*uAI~TGB3ECQjlxAU>Os~p%juZO7qCV^kfbH7G|zao9~R`-{NM}^IJo}o
zf{&*KW}Jq(4lU)h!6W%&K5lTwLgtHRm|sEfEy=&xn!oD~%<Pq0?*U(<GCElT??@PR
zCHZ`x2Wj(QC6|kQf$(cNUY|^u*1Kx>92^mmzx@W>|3)`50{*gdIx-GE(SJed3S2&V
zRw5ierPO_)2$sEMsvH0xtGV^K7#7Ixxe*NWs!wHCzy+B{doIE$?Co<^@C)irK2o3b
zE6}eKzN~rZ0f|T7OBU^b#aCXR@rCd7_OI)M85GQOykNi2AMba=ak}%mXJ8L0bpu&f
ztba}|WGlfPQ8JX$u;56nt~9*<R)E7{xSKYLXE(`TIJMOfe&MyJiys#1_35*KvqMuQ
zxM9{+%Mdg8?P29t>~PKw8*>|&waJ~86|QO2X10a}rZ^jE;mJs?8GE>DM&rwR_`Y~h
zkTa||@;!4CY{C|N+ymZZ$va5;(TV5gdBOW0`ihY8yzbn(a1KuIPq*3vCkk{wz5qWA
zT&yPZYcgu)aDyv0=Iic+SLUfpN&Uw_qaU&`Qv-7tsTUjf5hdHpctq|gsb>r83L*RB
zQ-j9s%kZM}Y@Ix8U+Vca44yDkU{r^jcoT!t;7!NE%Se3Ay1P3ARyy~bip1m9hVt^@
z{Rz{us&H3i`tcmt!#8z;jK9Q|v#$v55iZ(9#`kV^oX&?oIGDGI!IM??9`|9%zdk2-
zz+3?Zjg9d0oR(S=H?PZf?S^Byn|aChT{rqz-wWSgrS{tkE7QC^GYa1-U4FX@KIgNi
zZX7<+D<dNTXPdKZ{Ym1zA2yQusf05Qzu`$vVH;BaGD7DIqZ@udx6r;S3@0&^DX_pj
zXI77rc(X?~2N#_0I~+yk^UILNW(!;|&-_jbPBr`^#|QI2ncyJfZO$5gx&wBSKJq{f
z&Qq;5KLCH-a`z<JfA0#!3Kd}Pl8IUpZ%gI7qy|gb-<nf_BaUbGXu#46!>T$kt%J`o
zGuW(}>Me<@d;QL_fH$@5lO}Po=UJ~W!hV#Iill$hj{UoW;Xbj7>!knK-ECA6@Xslu
zPE!A4>PlT0EYU9FNsdpzh{VA(nC9#cCbGRr7gN3`!#Z`(>dF4#7&uat55Kej!B5V&
zyS&TGh48rzTLQ@bj`-H!dk3D{Q&2|oZ)bUPRlpLP9#fHit(-L`gRq{M-bPZtN=r>U
z055xsS8s*`q?FIj!=KoHg)zd`yMNbxf}a;Kk8{H6=MtR$z)9V&)mh*#YQ{DH;ESot
zX{5d*X?yHCcl<u`yh%UFcWo@)u@QdpJ>Wc<Pq5(mf6VZMW6$pj!Y7~BiESbA88#YC
zSmt2tdOrAYwW9*rU(ZK5XN6%^qZlO%Saf{p!5(-rcEs}pOrt%(xDPHlG1+MYYfqJZ
zkbxiZi2k*LD-QVtDZusD<ZrvdJD=^}rwbS1#oHOC(%T-W4|C|YJ9@%1b$^Z;!$}4I
z(n-Eg)O^lSI69hQ$q&AKzsT4QzBP5mjO5eU+`MTI+pj-cehwB94D>$>|D;TxBKZf}
zy)3-o<D!Yv@$elEQ>k<Chm6K8vG89Z>%NQd+33oSEI2S$qaX|}40!%K9WHr$Xek^%
zXZ^(J7Q8Sa)e{TzJf9EEfyI8uXr;kdhU)kCz`B<%^5(!7iu)Zp;kS-e_wwOdn`+h(
z_%CHqLMeQ(=Aq^=?AQAE)g9PwwL0T9%vAD}x(Lpx$v^!Le$n^Ys2FZNk<>f`M_JB@
zRKPW<x0cBIi2NwMZxt*XdR_Z7Y-hMC+y?*1%PS}O2H7Is?J!eM-1;TBE{xxx8-7`w
zaDe2qGz7nYLh_&6Pp`txHG$2~VHFA6Eq~$lRx`&&VXx?Y9SpdiYq@+Be+SDs?EJkE
z?s2%u{t-48da)t^XMIeOCvje<$;V_p=JEc_v$OD<Ob;GyIA$*D`XszN_2L|PzO*r8
z6aBBgNG+MHx0EaWK0@lxYa7~G!B#y=H%Y$CvwijCc{=7OU&lCnh(SKg2~N|pXMF>6
zec>J>&-dAWYH}}OzQ=-v<oR5hn{7LZD|qx4k@pFue;?FIeEHimZ?ax;ci8t8>DO4B
z#G3<Oo-L>)<Ed|tHOYd#WaT73!y3BN6rHe5>mM^RUlI1NeciC;aQ^Z<Tq|=YU<`JQ
zwB0fdyBFNocn#NeIjoZS@-suNA8_aSE2n5Y@I1faFXue`=8FK=dN}*sj<!jdH}!4a
z7C6zf!-Di{4e~eTf(MMhtRI9W7C+Dm!KxFvu6^)C+l3|pI83;o>k%w|K%QS2-XO>D
zu^#3;Qtqk>Q}m82lJ~d!_g`sg!$K9g9_0P)i>PU$E_@`){qbXX-QF;l!*KfdeJc;)
zt5Vd)$6-N@#6Pd#-p4Yc)^Mhv;a)PoZ5uxpJHsM&Qm@E*&Ear<o?~z}!^VT;eKwa<
z@}3#o(UG=5-giBsXI>k_rf<jV$@_45k>_rb&!?QvMAmPp+69gn!p+N5W8{6hv`Bi6
z<hR%Ogp>6f-OEuANk8!gi3YNMb6aIIizV!$@SFJ{TwUWbYX?vKu2NTqGy2w~9boNv
z|1|PG&+zIfvkUy_x!4nR__E=Gg&S;GvH0KnKYM!;Qy^?Qb|{+U$8VIf2!hv^7~dJf
zxl3b=S7BiTOKn|PfGOBK4xY^3l63@j6&sRFf&()f21tJBt-#<E_^^zh@Nt;Oa=`2+
zym+6@oUA|e><KE&fnTQem6P>}ir~RZMX*o4{gfH}qb#hi7<TR9K0wx|c+*D<DquRx
z3Kz0IMa`eETm^G<IkumMi;WHxw819PA-hO^M(K~GcGyfp`qCMg@snO}H~h!0sfy(1
z-eTC?2X8#$MoZRDbS~L04Z``fOA4-VXu?kAVYo&y_nI$kw&5bzD_HLWZ-*Cb)52c)
z4vuQQ;6c{I`gL5QKf){LzugLk>;0H_EWoGd^^LB<_c_o0TZStITQA4KpKp6{QG4Qg
zc<|_07hK);`pZVR`e75}V^~q;krD&!nqYH^tXHMCr+wK1Z<7-0A^E9#e$hPe-Xurg
zQ8;7Y)F~lYqwK-$7cl4EzJI&mqX$+^KEg@66kqNm^-oM9-oyDf_j^ji+rwidzQfsf
z^7Rzqxa4t%WmvsBKSdc{vGHwOfmJOxduqa3zwi?X_(>CYi#8lfYo<Z54cEK1gcL)#
zQaH!|AIWb_dw&=n4U~DZ9`XIDOfARZe*SY5)NtC}ZS>~E&5Wk>aFEco_cn0KtbP<N
zTsu=6<NzQ2=OMKP{^u=z!Ue7^C_cRj9^}(1aD!d8%Qy4D>$F;feBn$3w=dh^=ZD67
z{b2#Rf0{es1%_h<K`>97*g1Z<(cO1B81{O2zke58+qKvm0V`8XQ|^R=sN*QE!E@`F
zPUyf29}}u?!clLJw5Y+x-0c*(@WG=a?D}wxtom3HJi_u#>%aV_9n6*Rn=z^^XT&?+
z-I=)upIF;8;0RN?eUff~GZs^X++h<jf93~pe|pgg7r2_E(efeOGa!7|2kvswl<9$M
zsU#*m;i%^?2l`=dJ+Z5o;Xzf0l402G*Z$T^ur=R0%`sT+?9MX@@Nmuzo(Xt1X=hd}
zyvK6(>=eAJn6sP&oBN&DoP(`CX9y+2GgpVMFTmT!*)C+j<LuuxS75bQ|K5@OO%%rx
z|H20Ayku^|FI=WwsJ-z2qmJ4-ll((9x((~$_6I{Px8U-Iu|x)Ve`?E84s36wKEVVB
z>F?Dph6QSA`S-);I<IPy`i{&?Zuk$gZR5#5(@DLVNFx71c-TLaf{a%%&El>O+g)B~
zS_oe`ny#Y<Gq(>!l6-bo?qma4luh<cDI7FaBVY^LZVvM!@l6J*9;e`aX&-t?e4ALO
z?iu(9?XA_@@SjD~6c;$JpZaJe?BV>z!y9&b)EIsj&WiME@r9KKw!W%^FJ`Qy1j4rs
z`k89r70$%zAozEdsC^Tx+P<yz3QUtbmV6&(O08#zgokBi79PNLuMd8RgD*XJ$I}Xr
zGfhcegCA$f`*gzZKDjWa!fbcn6+VKk&a+vh!-G%d{`SF5%b8NSaHHdxcn|D(Yx!vb
zyzxr-=olQdH@LVAW=|Dh7=dZcCN(Ny&WY~28Mx(_7f(H`;9)a64NGTC+;4(srl@ZG
zfUg<)CO(7(7ZV?Ug&)oDpXh*3Y?|8k7hb$|;>Hk6)%z=$<Zon4(Rv0C)|ZNYh6M$L
z_(tGE{u0*naP7A8##eCoi*8y{Z>gf1GzBxT>MQ()Ijdgmn}Pe&Ur%r3#`k9`|E9jf
ztEtcQ*1_y51N(o$d2L)d46uRtDf%_|SzOE@$&ZMVH>32%_ltj??qq{!So<Yt;qb#M
z=FIS|uHs-i_!-sZaxQq+oRT>!%>HI!f&+H^yZtshTsgc)b~}77LDPaCw%z?RgXCWg
z5Gxjh?^{YQ@xpBLt(SMhf-e#UN&a2&(g88};h}*5A^1Ay7a1LRPmQ43R(Oi--Jk)i
zsC<24H@qRvv&;l`aec)j0#A&%tsH|hvRQrh!Bn3po?F6)jvX)D1A8P=37mv$`=b9y
z!;z{<e;nZVw0(Od;aIf{T_-ra<KJZk*z{BDUtgHwmG?)IFW1qh7XV8R<tZw|VsAhH
zyF%(WZ_Jg0JK0{Bhr)kkUg?wZ1BaZVqG54m`XDks@79YiufiUjvO}a_jrYdNL|EXK
z?Rql)5~sjg5**taV@}3*OVM+vg!%oM1xde8)b7>QaCN;@02#09OQ7QenDxWSR}%0#
z$=fv#VRpOA`$_$Uxa!l-;QE%VBr;xl;dJc~Ea=-jrvw*!e0G{3`IOy;q+g2l&U;hv
z>!s;iswDqxX~G=*K74wZ<nO7Sd9whwG*O6Z!Eel6>%YPZBY!N_;ms7~8-Bq2CY)9J
zaDcMZyT35Ucl!4_aQQTSFSQTeKXx3MvV|Eclk@3dLD_?xC*iSYQU{sgnWxUJ?(q7G
z_N|-XVC$nxF7P}9m-A-0E5%XE7p@5{P~(OB%M1d%;0LVor}x6qrIo#9u=?stRT<b|
zL+rm|*tXzX*FiYbps{cW?l`8mC=U<soc4JEd%VpWBXOqgKi-S*DU~@21$g9`klHeQ
zy3W!_308^`OId;K8}fZg|F6|14*%fishb|j!L#ZX4ePh#_o=GpbNk^K+Tci9_~2dT
z2$FwlPrSqy_{*gWcgTF(QmZJq;fzamdQz|f+k+A@c>a8<#~%3Pj;VmXFtrIoE6L9}
zHTOgoR$o?{7J*Y(=`!Wvmi?8IqOf}@>yjEg<MYOB2dwj5yj2r^u<gigVYq%)hQkmZ
zpgP}A_Fur$Ba?^W4Xg{?0`Ns1b6GR^X9kP<Hh4>p*Lq9%(0%h>Qon;K<?a>OYt>_k
z)X$q%21df%w@<~9@j~`A<EO%Se%j<+vmO4;{o-2&9AfNrg!H%9nYdX7Yt4E1lm5|f
zez}yx?-`vcNxeD`{euB`cGUhQsej@j7(WERdG%h14`wyl`F<QWkC|H|^SS$-anmUL
zRP=i$+5V|S*0xz#KXR^}^rN8J6Sn|66{P9!gSD0R%5LJp`F^KDNEYr(WO8PQJ9bmq
zsKRO8YfVzHx!lB+1MsbzJ7Q$vo{|zz5)XCdj6MvPIR>YY_`YukPME;nqFX<Z^TjYu
z>W&565j{^Y4L_|gy<iPb*M*sr@op6y8E}O2?;i;!^Z9(r^QJSr<<MNe1bn{Q<*O(B
z`w?$3>90AbFXRsM-kJ^8hNoG#3FgAb^a~2fd~&$emTtlK81%oZ!M*8nT4k`(394<1
z@Ueqd9Odx#n19Q<@FF!g+XQUQk-u3T{vN3QZVINDr>rCWC5(4Re}ii>bH_>lZ=Q!w
z{Deg|P@U6+%`#=EXnFDbB;C^{2Jl@+CaLwXV6INwG5F-6{s>`M)oZlc5T3ica%>k&
z>wEZ!3Cxi)vUUJ|GA^^h7Je@ma7qfkxMORA3(OtHz+erh&LyAmhUI@gQ?h^q^yAb+
zVCz;%g;*GiT0D_3f5@UsH2iLIsPQViSFCzd2F%=Olbi_Oa&p#5h0inWl1hcU6-AbB
z!wkRbnX=)zuOotmFr#~(RW6*ZR~K*>-tkpJ?l$ZbVOLTL4_*82T?tPO_5JIEmwDn0
z>*4*ro_l*>zN$+LP4Kr<e4}IV4dZQ{58=^Et#l*s%Y)l$dSIpurHxClpGQ;NGuTo1
zh5TnYu;^XS7~CneEsmKF`}=KF!36BYS=Pz`zffztJ_C!K<7^Rv@6futF2VvM*^2_O
z>788qZ*b&{bebgW8*cJp1^)V=p=TfLvC~WXAAGAWl=lEUwR3om&KK)3>q9P+d>aM*
z5mtD^rDwqgu-ggB>do-4*V<LOu*NrWs%^037djeaIJbEE6+c}2JW$RE9tzUGAPlb?
zT%9-xTWha3-2+eVJIihb+hkO$OTot`3RwN%ze`>`3b1iGy}CENboG0a3ap%Uc_9?8
z`f)Es3yz$g+#UiCnflvWz-;M;oBQCV^qb*F;kmk>ANt|H6?#HuFw3Qr32)&8+-LQS
z;VtSkCnw>c;0I|Wf5Yy^>N!{;;g%2S*JRE%{Sj6)UVUf<3xz*A@CDw#^6sWRtf9zt
z_7i-bJ6FjWet6cOV->y@bl=Vn7Vi_DqTt8xdt?GBPs3tI!mqNzrmeBUHt^FEQWhNW
z8ofye>8C51xK0Re2++zo3v+NzNejR}loDry;dIZ*y{_<~gCYs%;E3-TtM2fNQ;hwW
z;iW9OBiG=gEd0e$aMi;3%W?4WSwWpRxQO<lXg0jLSY9v*Hh;EenF;eaJn%|^lX`P2
z^I^*7kwZ7(uq|Vgxv=Q-FAI6F?}sf{t6<LX=d78qeEF1lE&N+zu_6cVdM2>$F<e03
zH=G8)IXFMq1ut_maomFCJROAQ;Ng7=i^Xu!P^#%icrnB!?k@bZ>gn1~xWQk(x(L=e
zeY1ZB?iQxcBXQfiZhh<mSZ~SGxL6BMz0CZ_0&5LMayP&M&-)7biETT6w!sbl-(T{;
z|GHeXAHq_0F=9L6-j+QsO|W^-sXx2m5yt7XK6qNeQ{NsA_mlP=f_p-*1=_-vKj$9}
z!wd`j&z#}SzZ7#`!BqE^s7}LrU6OC7;Q(Eqqmgj(*a-Do*r>!(Fb2MF%JY@P{~t&9
z9naPG#{pbcBqA$cLRPkttSEaWD?~CYt2B)wt0W>s5g8d-nIW4(MMn0_Xb}xb5hcIZ
z`ThBPykF;>`?>Dte(pG@*aJ4~$bu=@YB))~^Y-j~HvD9-M&*0>Mhit^B`nT0G)DT*
z4xDkRfpvQv{ocaLbpM#!;j<rlEI+{_^6VO|Fl(HG&OB-Vr0Bp~cv`M-#}e#q)_86L
z=B_n=whCLmdc`#lYn|&%-r$Yr!IJ|9U*JdAvcFKlO*gF5e!^0RC0N#wAM-apvkc$u
zqH<h^d4l_z)?t31z^*y?{-;bCIzjyV4ad!Rzrt*G;vvlNq^f9156tzqp^+Ol<X>DT
z`%`ybk4*?}w?93a54$kxewBmYtBH#j!U}f>)m2IR1?_};@W^rTB5jh_{5PEhzqYNT
zG=kaI3S@4<KYW!R9EK0<a|(=x)5ki0+Q8nr<(XlyR99HD9qjPcb@3*=?IzDQ7x-n;
z6V4F$+_r&fH`qPb-6a%GmT}v60sgmC77+;7S@Ui3f~`-xj0MAD9c6a@F#EBBbzhh<
z)<r4^_FrL5BY8#tn86sB?V5r)IbZas&rPPnnRRb7?O}&cSLJfx4-#5mOyS3yTY3uM
zGp3*Sk@L?Amz_uj9HhwUa0p(FUj11KXFRVjHikof-_d^xKRfiXPY;&gB(tp<zM>H!
zco5#$)poiaj*Qz}E(244WX&0bORwZp$--wv9{-tu*;AT#O2AV5s;}O{Pro|&NWqhJ
zW4v>)P_fs2a=z9zJMr}kY~r%@vnYJPfJ);Roc=-e2pha|E23}>ZrnVO%>i@%mZYQ=
z!ts{*{u>?a;3SyF0Ka+Sv!4N$+w)?P6~6b^Cw~dQH?q<@?0I0GAllX6u;}?0WkT>$
z|IzD(a9rfG+nR9Sr`P?(aA)%Q>4UIez~kTK_gA;5rrZeTEDaxc0$aW7EeV2ksGgM8
z!(oxv-uc7MTc@Jh;j`6OCW>Ln;jG6kaK+)?g2(XXQ%RHk@b%5MYhU2F*@IMF@I>g7
z_IX(0#^sD&_-*<>PYPk2kHmytkpB3ZEj6j&NYh$&l3(pxO<;g~&*cVH!z?umlx%S9
zM&<5WSVHyQ5gs^DXn3(4HmLX@%m;f3xM^0xt#J{)JK?EGN|zGYBxgWR9H!Tfd-53G
z^Y%)LEbP0zZY>L@drhaT2tO*>Rg?ki1lWI+fw_NL{<;IR-yI9y3sWBNeHaUS_{&I1
z!QUiKwne~)EnNPP{Gi&*wkX*75}OI>Pc`35<px~%S)X?w9LciuB?OkLzu!j2zjLMX
zqdBZ=mVa6Y9+Es5ZwCJs{K>f=Zd^7IBG<DYf9yBWhwZO?@0WvFXRiHGgJ+7YL$|_y
zgHaod;X@%C6`0{qZ#xS}e+fI6{3&7H|Ely1;o;$YX$ts*-Ooi$n6-C@*$VC-y>;I|
zBl+QXqm;|=V)u3rGX71WR{dF+Zr?ne7QB-sY;_u*TN5cKpGRN)<B49FR<>n3sq=>x
zv3JAtg1=iyoqaU+SQG5=FXMzd+`j6>h<{w`>5ORq7A07!R?GY`%r15I5gE@Z;b%o5
z%&XnLK^op(Km0ch4z)2)*#j4RSUs2lQ#FYGApPIUb~$?=R*{@-B<<b*=<+ARR~lGP
z$-^^U{4Npjn>}H)DsayF#%<wn!Fq8i>2LnPgq<HekivF|Y)_0~$Ck^ma;DPnU2yG6
zn&l~2*gYza^r!yr&PF$QS6<0}vVEuio;0$7NALX_A^i<JbzHZCqgdFlOTZ!(FIBnW
zoD$APvVWvvDk8VT9myNm4#AZQYh0AD%K2%1E7*bRy(=}WJ=&M*0H;QJ7cb%Yk!E$7
zk~92U-TEJSzSI?#5p@QR$w@96g!$C(-@XE;b$hOn=UK(~qNYROT?@mDxv)BW>$Q9E
zr>lxn#jwFl+0|0m&G8sj9&D7cYFrM-c|V^g^~WynjXGg7ro4_Puv$c7@GCfR7d72e
zc%b$4z-PGeA%{dYJl|83@eOW?devGFTf1f$uEWkd2S1bcuAK8+lp@IQi%RW<4ZUU9
zonduO-)HTx*1qfSTwzhJgGHnsvqArDF#I)1s)y8Td{T=-;8$+zn+M<*HF}iUa2wm8
zOc(6<HT88atk~QU&<!v4gb9_xvP@~|ZLne5n}ssCQQ+=((x1uX3!OT+fblphd0yzM
zyN#_8J{)G{^b&smj?(QVyqi_vI{CciA5G<7!QU4-`kUaqH!2am@EPYct_oNor&o9w
zR^4^mwGtkuZuFgkM>$O*O5lVJ8ol>$rLOwuW4Pw}kL1trgNx;S<asFdsE@(|d^s}X
zOb$G{ax!uSW-qB8jD<%IasJ$}6Q5r$L-;P7Jh@SS6Kv-!v+X2I8zuK~JFMwM=i&li
zYmiVDfm0IW<@dw;?-bH0z{4+1?Tlcp&@h|xaHwZbkS<JdCQ;NAw&uxwtq+@=jrG3*
zm%9r7(17nQJTM4^sa$%ZNj~mR?9XVpc0l{F8XP0|;8`r(a&pO78&<o1`&1_UYU%g|
zGX4*<6vb><AYSDe$p>zXzf}Y`ym<It39dMscC-{8Zugf}fnNpQE3Sq&CciV^3kO_H
zyHW=anaBMgdB*(PBAu|3?gATm9`9|Iu=pDOyxMl0<bS%w=nca?k%FPp@K8Y<`xva2
z{ilBy{GRWY`+GQd$YfazR$aTLFb#KFit0$h1MN2=zrlX&tv7k$DuZB=pYZ1^$s_zQ
zThJB1zpzQU3@<BeZsyKTDT?c3stq3Ou;({t_f7Bxh1Na_`2Lz)&sKP7Ax?k_u3(T8
z;f8I^H@W=6`-<rds;B($<Wg_NGW?8_nq3Swe7|y)yifTNDe_JUF7v7A>4pvNN-Ai;
zosX$F$orU$hHc%t@D7=}6VGA3+HPSJxa-|oE_uJx*5cS`0aNOhEmy<oN$zZRa86ej
zR~c-vLFTOkY<TaQYX$sFR#Dy!R&PwYSp+xkS*1J;2UF09lDuT<=E5uRc71k(0ys^p
z^Ku|u{`A#7l7Hww*mVPr%N?vC@1Kq~+_`^~_<96=KD=U<`aKpd+Z-p62`@?=t-lK=
zd9JmRe7Bv4OE#>z{omXJSZQ*nTplcvTc$+vetx^dOJR!d#Wu;XVEn8_Ijl2vBA>hu
zqlj9}uY*lr9_vVeKWOCnG{Va~EZj-3eSBHROIR$ES~U*#|LC0f3fBMYF-r3Mcl<QR
z;3KZuyf@*!o8P>df}cLW^ZEvCw)FbOF#PL*8>=t8>kj{p37B@gvBd{IRmIXV0JkpY
zO`n4sddu#Se0dD@y)&?$N~UHvyh~%g+6BHes>a+0FCH*DMcyx3hD+Cy?U9UBx@8Bu
zJ$iYg6Mi|Dy#E-SlvXDD9B%3fbFhG;wDs1>=ee<CkBA{0!t^zt?7xRRJN3x>QA$o<
zAF}_(Ki*r>fX#0>2&BWUez&;E`_($u*>9P|a$N5F;m{%~tpfONW!HiL+?}z}yAn1&
zW~L?#U#k&rC;L;Un<s=5{vgDDf^3h@v6No&K3F$Xu9|GGA=}-?S-fA~>CbNR7WQ8e
zK2P39%a?vzCHv#1_@7wvzPe0U|0UVqx6Z|AO~49i{1?dnNK<ik9)gn+y!Q{n7v8UP
zlK0>DEe&V?zdyS2ZC=9LCq4(0yt(;7#^-R%P=jPU{NN(LOauJbnQn#Te_KDFs)chO
zj%1SUegFB4P!U{u)Io*h7fSvcd;|;jOV2dH=gOXOk@*21iXH~G!iq;c+wa3~oX(3s
zg<r~i+I0i|UQHWK>KePU-i5%IQo58#eR!8AbpX8K(r=n(m@QWBi66|H-cV8lf1d7J
z@qkyq(CCx=JCXa3PQhg+ZHr`oKl!3CZwqTQQAF0mE)2BkHt++7XYv*BzHR+Y=5W`C
zLCPvPCn4LD%+Kg(y<1oeOVVgmX~Byw<=P}~cAVQ?15OV;_nrKGc{R!l<zWAVfnkr~
zFEayw<l)B}&&SF3eL3KCKnz~9YV{)9w>MsUK?I&X7{pJ;Q$NkX$`7B<@cZ)r&yyhR
zNanwI*R-gU&-*DYJBtn8C|))~_7D5x`X3x{Snis14?H54cKHwH<2*W9VfO~s6e)VS
z28TLOm4AS#<Cz$~!+#1p4$i^tm;ST<0qbw!N&f-gwtMbN=JUuT{5|~(?tj?b`W0p|
zH*8viUy1w7O~XZA;!zZ0_<jrqE0Xz7!co5O>EK7Jf=9{xB0qi0Vg`6>lXUI}IHW$C
znhlohYHu5dqqYWhbHM!?1Ds?&l*GGkVLn*<;Ta_|A8WolXJH3y8{l(;%wO96_qUEX
z{3UR69+|%t8`8N|3cgU!wmb;iFz~tVh576rZtI2vr55%m!b}u}&b{#17R_)q*p}0<
zy&g`O&-tPUN9?-2kL0&FDkMa}ZwIJs$^5a){4~d-;9l>okJ{l9YKy9PczbP7M+^Ma
zmOmsB_RdXpC3#-yr_%YbF(d8GCit1e&D8?9!kT@U<Ueta8dtzxwwG4O_>#rx+*PnZ
z`<G7Azvs5g+;i}gU;F1to-s&s<_j!8aW;bV|7idC?KP4Yt1Te?4;p0KQi$XIak|(?
z(%!yq;PDQ42eTXPbC~v8T7VGj@*q2dwEweruh?FAN_w)HwBM7y_EQ0VYWR<Z<f{Yp
z@Nfs;m&>wy8sN}tOdOgp+h3F5r*KuB^{Iof;i8XQ3|!ajzGerXc^6t43!g};GjoBz
z{K+1UfZN2}c->(Q;|h@|c;~U&ix=Rd8+&wbz>L>V9`J&v8Yb?B!(6OYcl=?$|M*rs
z;dz>e%h%x<#hto7@Lif!!zkF9&p6)+UgvHvj)&8-On;w%m2U~qq``lCZIzF}DZcv2
zS#YANZJ0G2V3x5^08ekQ%QJ(=^LE!4!&|S~YLk4o<9nB<u%Po1XA?Nw_WYh^n8wqZ
z(gMDEMqr{3e&u5*XavVG73U4Y&a9@5q`$aJ_U1G2puFnTLHJMI9N!!)>7aFm^hY0*
z^lBBB&lF41hud6*;@4n{TT-7%-plC9XBr92KR&~>SsPC1rmCcakNp<WBIEt5ao8*l
zr~dhKLKk*e{xl>Be~4q+U<e;{xqDR=j(hTE2Wh{q%VVSl@3fjeOY(dn7c%wWZCoWW
zYVhuVOJ@$k0vlT-NxnTGlj|6KY9{p1epoU^<f9#|a6DyJ177g%jXn#vIazN~fislM
zZ7#q^PG86-{Ux7Xr@032jM({736Adz?70s6Ydf!#_L?%iB02D_>s$Cq`yi9UKk{JZ
z_Xe9Z;X&F%Kbl~t<~eavw;AfJe-59qGB{4QZ`F~Vbq0>Ip14M~uj@<v#4P;ThmD`K
zXD?I?Uxmf8RWo+NhK)j%G?F-<-7@_y1{bwl+ROys@3+{^1D{elmdOgge&8I)3qO2V
z`kNarx3zo944-rhkKO@4WID~n3SU&2`XC0|s~<6@frX6={AA$uLC2JhFikjhj{+PT
zs5Y^J`O5d_T3l4&wiR8;zpzOJZ@o6$Y!-BD2Hx)`%4Y<-$zC0sg`53CJS|~=3N4;D
zB%dI{a173E(Qu!D^O!>%PQV+jQg05yCI7l5T;NZE$-^V?bf0waS(v4C@i&=&&0=%e
z@B*BtvY;~n3q%g3`@-=IS}tAixdJ{9e|Sgd0jfS&p7RZ76nvv5La+l)8xwdR17G?c
zexBql*n<@l;d_2Pw_n0z7oJlk!=1Ogq)2}LTX0bUY`kxa(R29b_m<1Wa4a`dGRc3I
z6?|O@KXWpudkUv_9#5))?{w-}kvyjjzjiy!yeHsN13Zyv&)fy4*89I8`5zzZPY%LW
zPm89j;jX&XT_Z40P|;PAe{54ZHVb>C4`)=u$wNP~zrbpP!{15%w1ny3pRn-Vf6QgD
zv)av<%P@W3dI8D5{H}9>P73eSLU}vMeD?Od096K9VW)sw1w2)z{D~Vj5l{{<g1<4J
zFXM$N^;CvP-sZp8bUWdMDdXil*o&E}Uko01Gu1ADd%PUQWZ|!A4ksVN^VD%a<>2R$
zj%7Kp@{0w1RoKAcbl(Hm?i)Y58eCFxdPgRl$PnbN2gelqINpVSa1T-#!K?2*ixXh3
z2lAGdu<;hJ*D<hmnC%X0cz@3M?QyWJYlF8V{O7EPY9t&s`%e7?eCm{2L=+q&td(#Y
zzS-mO=muPQz}e|6oM+);dmS$SO~vQ}fAFzL@qzz7-Iq!7vJ+0mUhr!9;33kV*F~df
z7g#gx-+MRsN3E0kN!Yk6K8lRb?5Ub=0_Rjz%#*qmugzg2xR=c!iPQ_-4_(xSKVL9B
zN&0hgi5nv8C5|zjuQ?2_ybfC?>nWl>cw8r+x9rH6jRMS9bZb-_4h(p8Ukt7qzI5&&
zynOf1p`EZ~It{lboYeorgC7o}`1O(G6OBaqd11yaK`~_i{}AI><Al#GxZ9BZ??rp`
z2OGRi=O>LK91&o)l?lG}XtY}yzEvO7!T_7=IQfykuVZic2Wog!T1#gyyze)&J_Y<l
z-T1x`>@CLVM%JTvWJoxZ<0Xq-MfN*9?Yftl77lV!Gn<9^BsYzb<5AK)j(P_68V|ot
z0ZZrK4<YMeQVgDykmHl8W`A!dT-c&a%LZR75|btCYwptfIrG5T+oL`_fvL_eGL!np
z9@CIJutSp@tpIHLVX7w{-Wa!JBMx7Wd%_Y9_p)d%$iNEW8uk(JPW>Jo^7)z7AN_NM
zHP4Rh(}5o)NgAGli=<B9CdcE>-L$94`loL^|7=X*+^?b4&hUPP+oj}qTplb=^nm46
z|4oy>pH1fL*WR#R_5syPutJe$kq#Vvi0fqpyl150j~*<wznJF^-1E~eNd!K@!^n~W
zuUvgSBMQ^q$#KqyIah-=3cx9zoVyF*wYl%+La?;n<IoD&Z#~6xJ8bcc&$J5m3=h~s
z^5@T6{B4Ebdk)T%{+ix>-2DPh4R5|F1%G(PF+K?IPj${G<BK?l<&3~pSH_n~UUigz
z?JYdCwoQQ>zWw&k?HPDeV`K;!&%W;N%si}KQQN!)R$)GQ<rmDY&sx9%A8M8JXOhP8
zaUdj;<b^BSA2Y!B7}iGkV4Jtc>Db_XX=iH4_=1O*R9Rs0uFo6A;L7I6I4)T3P*<xw
z+^_ubA1fSwc=-4}SpGwMo)CP5=J+)^*v&`Nb0?g0>{B<%KkOcClYx^To%t>UJN-R)
zM;2DON;yL67q`&dJqV9)pi0t$8>m?*bYRMS!M*zM2S1rdmT)P1Hal5gcY1Hp)M5Cz
zeqV_>>@)T<;sk8fYjxWOreIWm<_O0={W)O^zw2t}aEHsMeH+Q~qjgQq&;|Z`s{W`O
zT=l_p*$1{M*4ana&#|yPlk|c;biRg>^>3*qx>x<-wX2S~<aiW~9x)7pzg*e4M2@$b
zn+_RaFwG8uN<TPJTY>Q!%<!*^Isgv4QtK1}2XM?hC&&9~tE-*Y;gZWHjxjJ-RLG@x
zIH7bxJpt~lnJSEft1ItCC&H&%?5UFBM*-y~Wc?dgDZ?3(pLOv{&4br|-DpmQ=Q5(~
zE8#pUA?ZX|_pD_h`M&mEOSzT~>r}nF^%T}O|5!!xl`}<SP4NByY?*T4vd(>VZSaW4
z1I;X0)nW6d4%ot%Be4M9{XTK77q&LB=*ok2Hm~e>1KR`(2(`lk;g0G9u;|dtw@&zo
z;xBPh*Dg_=pN6MQ%?(KXQ8{JJESzZCA3Oom@;u+dAcN0;V`ushOfh<Mlo93~?z>6q
zYxjpoMc}CX?fIl0N0<6g3|8{#izD?5&p$oXfGMY0%Sb(Ms_>jP%rY@;M8;>`6wYl4
zA9UkCL&pEqYB+5Lzxw)%eiUvo+<Ds#UUqsmHwAz3aeUznH+yD=euQ_6E1dU%|J!)M
z<qQ11<5adMoT6$O{ud6IQ~p~77mIo4{(^trVSHH%pS=(zy#eRvhd<ZPkHNz$X@^!(
zUp(HgG6D0I)hm#ClGUopGORQB+>+F@yt_88!XGz(#T;++@4T>)br+78_RsdDuCwQP
zFFV{E$YVh2R=gj3rD5(-7B^CVmspju8@{M`Je>;lFI;;T&EVle!>43>&5SoTSit8u
z#^;l|y%1l+8F=S5?>15or&|m=5C1yz=p^aiQKMkbRd~C7w+<altvBcz2!Gr%?6wW2
zeX8D24O1E(kQ9NJhpvd0!-ZK7TgBl$*97}oV2d+jdAs2)ol0~~@a6BUzxTkqSR!m+
z!K)(yHR`0j{G*p7pQhG8N7gUCtytmdgfo*x+D&2cKlC?V!fi9Bxy<4Ia*H>wVZ|rC
zV~%hdm!%HrZ~P;l_z9SnDeZnQ%yh|&;S_w9KCzqRUovD_d%(4tQ^Lb=gYuBFC+zWT
z;OGD>(>WpR2aE5`I{FR%%#)=>>g*$>!V9p;fwfp~xb(=9?+Q$JPT7;JpN!6(DPDr(
zmJ*r*VMY&enswM++v@El*m<XN_lDiLAJ!Q9?<%|&qaiE^JNA9^Cfj40;1((YhtQrW
zA^or1yEtYDUuxR=`Yhb{&Oh52-qEt<2-&_o)u$$x;Tv4pUS#{Y4s~!}f#=l~4N3ny
zhWB$9!5qr!;iN7pVqIDW-@j2ZMEZA3il?oE4GU$KNdJWo(s~+TO1o683$Vudagmqs
zy}!4E$^LXwnW^i5Uq`RKc823UMYayWwJ9GqTf<=yLb;=`GwUH68`xIj<k~y<vu5pO
zb9gg{L+eM_bR?34<nP(Py|4r;<_rF|hfmmj$XSFfsxQ7L{U2pW&DkuA>qk-M=Vbq6
zdL_M~htK8wb0phmS<igqKUh&NRr4~*r*5p{geA2Sr^w&q8|!6fQ8@V9zNQd3=al<>
zVK_Zn(>@&L*fOLo4+kBYRU_B8SH_!s_rMha7oua~+uN64?}KgLZ#$m|&wETzE5TZ4
zvm5Wj?TgGu)#2iEhte}(;TMZh`(Z=J$@wg}?Y7Vd9oTC<wC54bF-^&(1$UZn=O@?u
zSC)65F(mDypKl=d1C5;wnfmZkeFu|D_>+**Z&Ua?TL~+<pGk9?awK`5a#N?5u++~@
zmF94@){15qsoM;HCV8vfx^Kz-n!1fxyb~Oeo0K&LCuUWwAA@y7SJgkl47KZd9<bDw
zY{4(^Y;wbdJ6z7c_1Sm${S;NWA55)%CgdOdi}&IWFW634vX27yr_VBDbpzn&n(OgQ
zumZ)8l1s2>kO5X$;Cil+i8dHM9h#m??uU0M+npu-jqLVV=7&%2xzutEJ{H9kK<>|#
z@6X1Q_6AdmGRkn->pt~!@WH<$%<8avysJ0a-fyarMdbcH)8#fl89$SMx`W)mcU1oS
z90c<vG;))?t1zp2ILy4)b&Wi)c-5BW6$;aI3*RTtHzb4G_!8hv5j|H9!+-8unBRdD
zy*;Xq!LoU=xfL+2$&RGs@C8B6@yD>G!I;olIBdiy^bLIZ>wlWAaMiunrju}R$#UmK
z_~rROt8{zt`x4Vq><hD8_L8B6S2H@3gW-<zA<}%X_KpVuVZ`s3op|6ES>-%rz3lH}
ze>Y3P0%|w^#laHV?&{(sKazMT9<Dj-9xn^eGoO=5fwM;XUdg~Z)ulXHa2-!)n;u*f
zb?aX~tiB-gPaBr4%{xTa&(`Wm95#YyB|~M(;h(ADHx9yS4cP%t;5YlOy*UgsF4<|2
z=ZC*8?a?OrXC9%qU%+L?;z^e9xjjx7$$HpW`72!{KiyNyLY|NIH=ew70>1m$XJ8Vh
z-1uk84j!}QZYIxrAAReb^ns&(tYwks!B(2gY+i6gtMbozIJ)Pbt3Q04f_HEUp3G56
z@r5h**$c10=l#TfT!o9aXl|sy^J<qqCy^ldSV@>AC2aiVkY5;lmfu5>9-euAwfH(L
z!9q2}2%GnrTgSs&Qs=73^Y2drA-Ce-DS=x@$a>PrW2OpOa9oFv5_x{^EZ}!49j<Zi
z3M0?YB?|5Ff2Lr5N<p<ddH#OrXUNZN_*l$&dTIE`NBz`Fc=Ct+XY%~sDZ{O|98Ohv
zrmO(x(i!ZmhlTc)@a%^V>YlWzfsF(FYsvF}o%tO!?eOiyvnl#;d!~X?D@+|X_T?ZP
z@R2pD8{Tiw)kWSX#BvKab;5h{_Wyr9>Gh0tjzReN-`x~sy{Gum%?JBne)sKZ4zRms
z{m=LC-x1be7kKhqi|AWe<^n_GIr!lu*A+@RT>nvQO80@!pW-T6C;1``mr{7fWPJHG
z>M>vZ^{Ze3%|?k%_<GORPjxV5;DLd0_?3iYdox@;%}qZBf6LBwZ-s9gB|QENf7m`}
z_!_R4I5YhTHj%mbr4ROR{1ClD@=cXpqcG>zC(TQ+dR8#+IP9%|cH25UarNNy1^B_~
z_A*j`&+F?o4^LaM+kb<Z4z6YK;eFS_1L3w&_`BTH&mFLXWB>N|@MiZ`do9>GnTCG=
z=C7|V)`3|r6nT>E-@E?d_92)$NGF%HKiMruN#4(ORsN<Zg)ilqe$a#SqhjTX;PH{m
zTBJX#NY#iGSf?Xe<RENFH`tH_$L-4+Bzdz)3HMmo)8k+MEqJTEhle-(lA7vIG@PT%
z*c1TMno>2Uz~?@E6TJ*yu39;BA8uYY=|2ZcM~^H$f#td9(@(-%#J}p0_s9Q+!j?SX
zrYD1&UcwVQ)NNhit%?gr+u%!_!=<Es!meT7A-FvtXxk~+^4`js5m=&-&Eq1>SO3Li
z3VxUC^nm1>Zf;F~2XEl{_45*3Ye0K#7UoRcFG{vwCtz3KXL!Zr^%b)Hfj5_qZp8ca
z>7*`w(%<646Mq=s%H)qfuE94>TaIsq<Es7>35KV8W2MOZ`Dl?W-*C9K#A`tSw*0o?
zEy*XYRjCWZKkkI>jU@S%^KE3l!s;CkO45FZ^fN9^nCaL(%m253A$gLl$9wy5J&bJc
z?)Q-uXJ7#@-|-+=Cw`aBHJI|$6>m~c|J}MN7-o4&EkHi+z^BYFH(=|ib#t;m-_kOv
z-h`#3yz{(Z^W~&>sql#wBMnlIO08BW>+5#%yCfciWiH(mB<t%=?y~5xhT8=H>-&HH
z_*)-SI5c6p{2}W57(4TgVC!736PYk=inXN<95_KGO4i$Xl#14=!D{`{Lq+iR{3kAo
za8bNzbp>3?mXx#?-nXNbz6ze)!Z5E2|M_Lm`5Zpz_1v7~SL<}oyn-2|(%1ChNMi;Q
zvfi$a+h-RUFQkxdVE}%<c4)*BX0jRUCF|`TI`VEdhg+OZ3Qoco8*ey}&$pZ}Niz)>
zWF3wppYPtbS_`uN?x#-ej3X==72QDA%l+u`|9BV{+TL!z1rCo;i#h>Q?hJ3;4L6_4
zh#=$b)05|tgTGy0o3w++9{*TXhNX?uwvzGam9q}2!qtVpok@HC1CCN!u;K5!iDW!&
zNzMQrc+dT>U)|vD_I~?AFo#PhzYDy;8(m@yTN}OcJPQYNw^*Ej6DOiJlRDMFjcjMQ
zaAC@U)H}yD!aU$ZV{UP$iN8MZ^@MlzS;bt3Ep9s=BlFW@gvXk$!eQ@r7y82|oJ2Vz
zU^o87s1TS*K3hKwzECVB7z0bZ-8N6oAGiIQr&C~sC+mj`;G&Xjg$MApQtjMwm}UQY
zt{j;D!{bqsHy*Ka&x4}{m!)gqUlc-yC9wIBy<;V8Mai5(=Ie3TWK=Z5`&-5Ws$sSm
z+D~=x!OIQ&4RFM{8!_a3{lMZD<#YJdf74B`U{m^#!!KbTA0f^@_$2cV&H;Gn=zt%|
zU(V-s9fBR^nY+pPQg+~r{sgQjcAS#rFAsc6nu5P>NU<d6`=d$qS7zX)y1B4nc!Z**
zlgwA_8xa_vf+y|cioe559H+NTzzLG66l6UelTXI+X}C`K%sVpw(N}KfE;(P9S^4iF
z>*>-)xaY|4hl<1OFqu!uwZAur)P*M%J2+vwbSMA6@B=l5B3@YF_}yaid(zWjWFiQ+
z@P0qCX)mt-m4#%*;Y5q=H#frfOg;OhVJGE_vfJQGGloyd`lZhwlTNV1bFHI!WId7Z
zMOH^?SYV|pf~+6Xx*-=Q0l)t`w8I##446}}fQPG|Qdz>!-%`4p!2|i+No2jxl6MBv
z6?koIe1|{$F{Wei9BjBKdod7RQJxmR4F5Z@!y**!=9oF=4fodjW{1I})axYyutSzx
zSTtPW_~)G;+z|G1<Th~}i$Vx2Kwnu)*8AK$Pwy5CGn#WT-iL!{w%3Ql8fWO|$$Fnt
zIxO>{a2?+{H8S5;n?gu48n#b2rY7@oA07IaP4f4Y>Mh88-pTz;e{REn9~3B%`M$PN
zza&Y%BaJtl%t!Weq6$uc=N~YgBJ+=b^?bxX;D+B9+Us>M;O_=MXj9-EixWZpuzz*F
zJIVK?zwH@>pShJcq`^PuyUWJmF4vpili|h;Gny&V{#dNmLpbK9#>_PQ`^|Ch40t88
zRdJTo+1y{{!#={*|9yvlvMc<}fkPf@p8f$h-QH(X0{_kbyU2+7+R~r(I7xqQ;;tEF
z{&s7+UNaf*Y2h|66WC3Gsyqm$k$LfgtfvX5T-iwWM^I66E?IB$Pvf={*?+e2Myq5!
zO^@mITT!r9vG5xwSc8?TF#>L08<RQ-cb;TmCHrI0!M2aAZ`n9ll=J_3>4bLxEXW^W
zOveB9@}_bm+;4j8aXfs|;BX{a-$G}3iI(i2+2?<a$@-M#EO)m=m_nu_ovdf!nKG+S
zhxa&WDlEXeQhOQ6_RAK_hA+bNF@=s{Fiq1Bcd}mMDd$q`b@-9bblqQ=(dhN`E%=^b
zPAXY1(PzQBjcnh{fwb>5@Wa=0r{ZAWqvLn~gK1gQ)^Eao^ivD$uuk2tBfjvlr1(A_
zxPGHlxDTvicrTdbZ#i1+JxlW52FG{6H*{|~pN2iW4ttP#_c5kZhha~pzec1!x}=e8
z0<+c9J|g{%6({^W06&V>J0lKTJYBU^hIt+x<PnAIrA4S@VUCYMlY8OWX#bOvaOX_W
ztvxWOYd(t*>=p5f)fkqfk{cx7cW&>dXNGX0-HEHruyN6QU03+OO|?2SFiUXXuaofd
zr*A*V`KA4*Ns=#Y^p+{~C;an)>z6C=mN!Eqq<(DZ)!{Ula<!?8T#x?Os9}%|t1xVO
zMb0;}cN!!LVQI(TtJHA))@z<m;L^W~`Xcbrby~}MSfp^&R}k(Us4#4Sxo8-@Rbb1b
z2c+BKQJ$~aO0c%$B=-m`_fs+D6rB9mYi$w^Gu+bU3KvMZ{G5jS+C|&Q`C!3;YVa$3
zDB|}DIiEPP9Toi!3+v|{x&iN>TB2WuW5PWH$oVAePf^hy`0H4Y@LjlJ(kO<~2m3!J
z!7>)^k7wPx5%#11zDB-}R=G!hv%&12PTQ03`_%X|15TKRildBt-|j^mm*j<ol)K)O
z{HLA00sOGeJuihvFu!)0;9mHxTWA}pU(=QFR)Dn@#I}<<Td<3gHf$~G6F~ZV?=~Hw
z3(tP!>@6gDi4YGXSX;k}lH`|5Bex!g`;va;)xz`v9Rm)q^w3U*C$QOlE79YykX^G~
z1DxM>_wzY;rSfBA73|z8y8j|f?-juM3^t&D$>$3<y3uQq{M(Cm7p}n5ZVwV(z+8H3
zhp)k2lOnCna1>W!_I3ENKpl4n%o?f~776om?Kf<LPc;mWM!~LWJ!w5~%@jv!GThDG
zMnUqC>-FDLVS!<5^M1JQ+Dcgg{O7!SMHfsHo<my<>z;T`Hv|{VYkjJK|Nd4{BKb+1
zW#uZ^Sh_9p4P0~dE>9yos3}`N0&Bck-P{SkdExw+K_2(Z3lG2b!QI?1-qFG8CGP5j
z@MV{S@+|OSTMof-SXMRLnF&63ZPIHJ?rRsT;efMRBaTeN<^n-;tnej~RpYPlfg4mG
zCE+E?g55u1U9H3H;xO-v;E*MF_IHn~Ec`@S&Up=fEWbTb1{R<BtjBc;zi*!HSL0w#
zA8wbeaCLvASv+j_m%fG#W=f*WPKE#b^5#A_JSC|%cpuIke*JAb%(}N+EDPqU*197L
z&u_D+A$7IQ>N9e1ivDv(Qcr$9nXdu=mfwDc^jEt6ZcPh5lydV~HvEt)@R=E$n$x=@
z9nMt_XS0AKG*!LwV6F;*VJEo9-D@BdrmNp0aS}FF85b>p-z2>Hb^*Q<L=#T>s|<ao
z?gb~`aDP(-H&N}M35Qj`g`XyMUTb^hNH}`?=SEVW5c;~72nSSt;UnYmJF=T5!}>f2
zFP6fyb7QiZa7T%DCdr3H(S<&Q4_Rd_J%M{?@93Ao7nma~N&bjuYjOqb^z}ntHQe>m
zXl4QqWz}iRh0PS=l;6U6-|z8|{C(k;$zSlDA<hC)_x{7O=QsTLjq`d5d_Y}kc=Ki4
zpWSPYBK6b$F%nx~h8IllNS$I{hmiv=aP4Lx+t>Z&=}|s-n)Zj?YuM5=P(_5~DGQ=H
z;OV!9@5SNuyYhR-;S)hj&v(OC)Spj`!fCO-+vMPWMd_+{aB{24sxtg!=fun;Y@$(k
zNELpX%D3+mtnh0W%RxAr;bIcW-%Q<6Wej(f&8scKACo>NTEa#`vFE;%_V3@R*}(P-
z^qd<M@O@m$6L5mp`?Gcap>Db)<$VJF^KdGW7WKg6wMrLYnZJxH6tI4M@ztxaczMu)
zeefo>>nFnDZG)T6D#8o&Huf>_0o7zzQ<!>ruX+Mp(ZYAn2$uLZd?yjE={oe;60T;7
zvdV$aoz^oTdFHPQ1$nUZql+ol@OA#JQ6+HZv$+nEk8ytb_A$Jo!NzY7>+HVYTn%T9
zgc=`%872>L*1`5EMHwgHziMJDP4LBXo?b`T*K*46Ieeo=L)ab8Hm;NIfa%Q&%w6F3
z9X?mPV85j9oU^dHt@()o*y-`!q0{hw4YsNwSW?wW+zV#O>+t&s*Zg4*CwYCZxYskV
zS?%68KJep%XG_1qi;htYB>y;2nPvfgbG*RLANIPi(E1M^JYZT+@+G&Lc{ccBK8E*c
z<{+3VKlR^6c;r#l0g|Ve@-o{5w+r>gUWff3iF0g&ck$XS1j25vGxa?1;kKIzG4MD2
zmNY^5RbbnTTd+HI?xHXp);P`;53gLgJ|GF(E^+F|!3_CF{CC5A1}gKJFr$*9y(0W%
z@f>eD{OFNLnKInCG5CBQanHuP>Tu!i(g)eFc){u?O?d7`<6;pk;`Zj10lZuGvp@kH
z_Nb5d5d7fPvR66myIw(I4lDiQeOL-V&nq>zgvVZs{jP>{@7$5Mh1+}$cUHo0vhUoq
zhZ7Sld>i2c(MzYD;gP0`d3A7S#+9e8aL*3Ezb)|fT8E6Y@bS(&5>0Soirdn8IOI%H
zz$;kpkkRlZ*fFWN@Fl!2!A8;#&i5~)=!PrC)tIir{bDULov@m?^OI2cT+7RWarj@T
z(Y;&nf%m=CV{mx5^OtBiCaL$xdw9D)X8ORnN+Y3DaEy2Us}xv+y(e%5ZePDwkOixA
z^%O0^eUu7oh49W3RjZtecpj84HCYauHI|66!w(7?$7<o_zBmDC_|8;qeG~jO?z*W2
zZ1wZ4Qx{x$MB}?TJXZHfYXJV~Ai-w_Yrm989D<p;|GRJ$)(;e@?1rQIWi@T#>?Q@e
zQ8@PF*QfyaTbzJMAG}gT>ktg@U|Sa;^`N;ft0Z`9z?2%PGo6|dOM!(MF3pnuTW6lW
zE`()nnQiQWYgmRKl)z4<sWv1ZG|;kG1<(A^OL$KFZSHOZ{E|NQ^Gi5>`^cvk@V;J0
z`e$&;=1<jau!VlUZ8NNrIJmhNw#)PKtAob{-;ejhh2izD8(=!7-d*FcZg9xgN?29y
z&4wv>#~NEa$@{U^<a~!M_QdrR!LDkp`b)69@rZCKykD~_`5)}c7^j&JOQ_U(Y*51Q
z2L=BZl7D7+pLHv2IoL~|3vZZD{=f#?7IN8<e9PZRh3)Y0f31F*aI|tH9Y4G&#8Qal
z85~a+?Sfa?3u%ktijAknrQq0{m7`?*_te(A<l+6y*?f)g>ZE=Y$@AY_xk&cMNtV5D
z72$pdW6M^!M|&qT$s23t<iCQItC^4QhZ%daOef){z}NG8;j7%V*>B-Ut_lrOcSy*0
zpNAE6y&sVNcwTL7T!2N`trykcp!D)<>#(KWCewXzNS)yD20x7NFqf$bAD(YY-U9PI
zkJv!^qZu&LV}u(f3X8~i(VvRSWZ)a7H}CC)_bTnOmx2W-O11e&`;xE%OW2}u#+C`D
zx8>MiP4e|MB^<Ewbii|Gxb`766AP*PvHs@<e;Dd_;DVzab^o4)KgV8-CV2|>ZL8k!
z{P>$2GVq*WctZ%Rlu!Rr49*;rWW53VE%YhK!i&@=f8By_@Sboc`9s2t1~G74j%2k0
ze5>{fQ!0EmT8)F`Sz08HKY+~)Y2B1b`&Oy0CfM5F+f)+Xr1)9jIV`IspCt#sVKA8K
zg<m~k-$44`dYnmR0Cp_xJxuyfKcmX~29DpYa+Tz-O4DAPfG0hc`&Honu;U6}VCKK|
zyGfqCiTdq#xIjXBNEcR*+1tDf7fIZt(T4ZlWZ1R}FG;Fd9fG63sjO05!SnBegir%`
zSIS~04Sf9Sx`Yk9gHtqgGpyigdejQ;u1%HR2H&e_UJi!K+QymrV5RxZB7v|%SKby8
zSZZu5?>$)X{I>;3IN_3o;a&K~+4nj!a981aY6>j$`xJvJY43gMPXatX;o@)ro}b_|
zdH{#CJkrpCf6!ZAA^GiW1qphvLiwMrhj2&q_shmGqrKEx2CS#|tIHIgFz7LU1g}{u
zms-K0UjO`aVOu{<S{ryW<3V=`%pw^6$q}|Y)b_6sK3W*BdIDCeb2EJc(|vx!cM85a
zeJijGJ}~jk(*vH3m+Y;D-<9q?;tA8K8&Xumv`mHt-tdg<tl2X-*(WZ_AMQIw9ozty
zsT92rgr#EA`d+~DDof8p;c2BO8(QF@VEJ<qu*Ahr+5K>7e6U$8938dN-vc`Zcm0ir
zKh28xzJqT+;+af=7rbS2C*j8ddU6loF~*mxGjQYn1dbdy@4qh5kMOkb%TswU<)VY%
zSGcpA!>9y~2|S)R2P*~^XFP>zY7IXNDPw;Z8a=Is({7vA?}YErus$VqwZP?aHCV*b
zFXJV=EnxngDm;{@lQ967xeD~2g{6<ZZtQ}$H15i}00$3mXCH=ncIbbLgRO+pmM7rx
z+wwfON&EPU<&UtkX9H_K?04o_-6Gtd7j`xarr)}A>k_Qpxv{ALzN)@!h{_+oXWN^$
z=fHnElO<_kS<n6FieYJs%mr5X>g1>PJUHPMhb{-a!Oe;HG3=W6-)13LZ2s?M(qHYy
zyN)7o{-cW><?v7fhn5tqT%o*L3d^%_%<qOZDTLCRVDBeMJ&G{5-^Y$d_{L!N6;-%+
zrtN$;{2@l#UJHKScRj5WetJZAlRiA+cv5QuR@~Y9#Tb@o<i0Ql|Gu-FU=Ej`S>pHt
zhhDz!YXd8)=4j2r(^1>IZQ%v~tqBY8Ke~d)C*YO#hL&&e#~XTdF7VVLQO;#JC}C*M
z19su=*7^xA1YS}*2Vb60Ncamg3)2buz}F<kT2^3|GV?A!*!Nnt+opZ^efF3sxe7m2
z*Gkw3w{4B1y$**A=FDz^9h^jFBVY+ObxuaO&pqr;3|z8>x^6q{_?p)z0Y2Z5F#8|e
z(RZi22&Sl!-Eju4)YmAhfNwch8J&V3YQC|nfvuCB7yaOCU6Ja~;L+-7{>!kfxP3x1
z99h5bVlbRw!0h`9K6|wCK>)1EJoCB(mP*^S7z)3Be(!M~sn-Vchrn9DF47Ica_W5-
zB4IH#k<V}7zBk$r!r^lxH0qOZYUbS^x8aA?Rf5xSN&^*tG~BLf?l%u-)+o4@z#9~|
z*e$`4VyW?kFoW+``aiJ8%<g>+FxRz5Up55bdDF{S*IHPX>VXC|{3>d+rWp=Ow-aW7
z2foUGdJ0e5oAqpggN>RZd*BVMY~>vA5nisEE_hx`vPuY+K9-e3p@QRw;ZKqTT<EmW
zzlM5YplFIL93PtB&Vjn^=-)skSY`hEZ&tY6V(Z{OSV3O$AP;;~d!|YQ=HNYZi3_%<
zP_EU7X|lGRl_hm0_EZyi`Rn0i8Cc50#=rv3-27Bc4d$U$k~#*<z5L~&3JblD7;%8l
z)7ow|f;(bP*SWw+yKfyh2)EeX-|7y(sBXA@7=FOjXGq$gX0lbVhNpV}W!S+=R59U>
zaF+@D(<5*@v(2#+@XD3sCQ{E>{$b`1o7~QuB=u(v^}<1LuD|j-Qg=)?<4J^#ME9?g
z`j+k6=kLR@9cL|$!cA^Q>RIrI&1WwhhFd~8*mB@k?0vjeq%Lu}suHF?-M-Hhu2?(}
zQ3GdnuiYm3e+SQxH^DXa@7uNEy%|eaTVXutxnuyR_}T0nfjjJE?rOrm+qhT9;Ga|u
zpGki0<{`rmaP$QUVMTcPX3N4XTuEu|rwmKF|JM8gYaCU&w+GhgEavzH%Ud{q+Y8^`
z^ucuv*3-~nkb%F@C+?$A#rm~9os9Bu@GCi4F8HF+IbBh>zb$Eq7oH30Sd@g%xKLe@
zfs170nML4ct1=^5_!sN1I&nDClzUMF-ZxY^A_!N1ZF{Z_A34qyO8To&-|cP*v#1PY
z?0}z!O{iGI2OoCQ>cTXyUf55-k-p1(b#Q!{iG2~=#v0gG4SQNBF=oSx0<8s4;p2(w
z%9-#RI!&r(xb@SK$Vae7LF9BBY5&NkIu}0g$UN5#(-<TaKZ9>3+IJ4Y;%Dx>X@Kh_
zW&}s!y77n7FX7J7khvMyq%<y!<ZF+xs?Wi-W*MVxaDJDg&;l$)8Ml$-eV+XEU4-|3
zNV9$oYc^@xt-}6WBSSmjMYgf>zp&umgyDWTsY3i7RUqDPzYC!0g{3dP_(lU?(GEK@
z3O~x_=-mvvo<9{b1Pk{(5#0i-uwNXUgfHCRxS0c9Z8W7ChexFgoVLLyvW{4Mgn!;z
z)8>QcJ9l4w2kS>>C+~ni{n*<-2a5;&4itqo?lWxo1fQFII4BOkqF_4w9e(U(x+n;1
zyC{h)!Xf3h%cNfX-~i9&{diuQQ$4zyn2|-F9yVEEdw&4#2&LY;56<IP<&lLSeQ_Vd
zWE?fm>faaS;OF74Qu?sE3R{5)T%p<AX9QE+)GU#LZ<sW+xxkzEH^h;=L{Rk72{@f9
za84dBaf{INfG--ZcB;Zu+pN6YVLAUsAvKsm!|de+xaH_RI$fCY?0-Mc!dl-`HXFhC
zSFh&6;8(H#iIMu{WR>~|*yr3#pgzn*Ew|+k{4B>lSp$}MaQa<5T>4#NQ48LLx9e$e
zZC%=y{qWt?q>UNy?736UWc<daSnGVauxIqD5?q_`Lb4EU{&Qg$$<u#%(p?WT-KS&I
zh7YU+t<}Ir7Yd(|@eg~PPH%_5_imja<InqNd3M2`X&>cCepNN;#UOmHp7Q1{IQHu<
zwMm%n*Xt>=zZ=EGVrO8xT+uZNcvqCg$vIf`;IG5d@FP*9${+Ca`TLRlaBF3%?Qb~M
z|KxiC_)6owVu}O!`<^LV=Y~b*>aJ1|yIis4g?E`$_A|icU!Py#g!gfd<S@a5rcrHN
z@SU-~6%JVGbl=CV@bdn}4lX!w-+dK!IN$LbuK?V{%|=a*udq$|mw4d3!FNZ6;Xb>J
zS3>X#y|us|_z|Cx5FhNILEEhWkNPUM%E0D+&1GbN-e=kPOA_{Q^mo*RV<W%ZQ-#fn
zRkaP^kFgccm0@K~>P7PRzb_T<b`WOBemQ6X`)69m>%pp~B~n)Kh7sLQCa~6-Iek-@
z^}_Yq!*FFt?}Nke0*xo*F?e()DdZ?TW4l+`8dlon9PS7+wXMipfG>*5dAP!n!R5!!
z!atJvxIJKM#TyhsuuYbsf-`(2rK|5M991Q!Lh8B2VQu$e_r@72KUi+tcY%1gv*T02
zC74xyQ_n5pZ*?(&uzzRu+D$mYv0)|{PI-`O90xZw_8!fGmGAUPUxy_+TBtH$;mtqa
zT!Fp*GjA`3JKRL%ePFSznx2KQpt0VEGw_EaG*;!Xq~kdAX_%^Zk>W8tleOM(9Ok`S
z`k@NGa5(m}16+JO?bZ`G>Q{N973_BJGEXnudg1NCL$H>a{qxtb^@EM8TCk);mBJ7B
zzu(@&@^H}gxT$$q0W18a;l=5poHh6u>-9-dIR4p&^>uiMl-2It@ZjmUd2B(L-y#t6
zgwz)wvu)sn<?QU~NZso|*@x|LmUE*V=}&NBZXZAV;$37Y8Shz4)3hACkN++MslO|v
z+OGhgY_PK>_3!>lG}<uJtv?mJ;JDD>W4f@>v8Ihma7RwLpar~D)7W7TY?bEHVFokA
z-ei)1nYTv8IlwNR3@*a(xxma@*6{uBjpsMR1xF;$lR90@zZ81-j}JB55tzqx*76g+
zk8&r2mu=yg8qsSX;hTRJ^+@|kw&clv`0ARQBxx@pKFZJw8|DiRki5}2YfT$GrgpdL
z1Z){?JpBT$u%+Kb^3fZbHJ-rlTHkbg!0QHb_e)^e>N}TD!T3*n^mE~4#+73i;GpzO
zuZQp}w-TCjFlE<-U<y2L#ysl{b1yQRB*C#=fyyLLZ*`*}oV4#4-hLV0C{{Hb3hOKz
zob`lRXQlRf!)BXO%>3Y=Cv6=s!vD#>HYD{(n$4$=!qKCgyGZ?n>b`qN;0Jg5hcCf=
z{9Zc7aHOD3S|}`aq&=1Vo+yvpN(_XR_WI@Rf@SK~>~F!1Yi%1OU_C$2(lB_4TFvf1
zIN|fZqbaa!S;jjS_^i#Df_re6DbIloa6x`tbQ*l(oZ_i}`2DkKIjBhTSG2vjmf#z?
zr@6D>pA^yB<o8igTBs!*HkIpGB)_k-ayB=M;fV{&2g&d88|oKh`LI8gXD<2upUW9(
zD24OyhW7WsW#^+^NPggb%T;oH(Ug~J@C5$0b)e`4oG^KKu?)6pWVI#NEBOU>gEg>2
z#E$S<INFFcunOK9@1Rfy7nE>0HNv#(r;eAv*$thW>ft4qM=a!esJr6z*JgOaqg?eN
zJSB52{u#`)_vhzixbN7NW3S;Hx__DpaALD0O(!g_df-PC{8*E#eH6artZEPr%O||J
zI1HQ71^o_!SD(7PTZLWEX!T!!4_@08@f&`VA92+kP7~@ip$*3McAxF&2{`)<YsLnc
z-TRxoIqYsfA3_IT^zU~vh0i<3NRfO}KM#vO?E1xpnGvSDOrfd+56~HJBK5G)VO=Ts
zn(+3on_<Q2+Kb|FI|I`U4gBA1OaKe4-`Lwm>U7ke`Ao2XssJ|`uc4S?<3C&<bGlBg
zF~I}g?_~eLRn=kHB!8|~^ewr*&fBID&I+f?(=mRBV+Ut<v%ntTjcRA$saL6N+u*VV
zi5YUe&iPBbo*gcwzj*fz+!C;q#sjnG9(qQu_YbkB==}$4@!mb#1KY{zOYDG~tv&8{
z!72*#eZ24v=?eW9aK-2NC&F+OZG=}dJbP5dUJy1=>JzMmd$K0g#o;Z**~V3{Lr}=v
zPWZ)v`L$x0;h0UV3S2H=6-@458rJG(_rvukHusUbvB6@IA^gGUj(9$NB|qYb0n8}z
zZa5vLt<he$gEbsEkCFSO)xmO0N4WjSi$YSrKBA-K3Lot79Z7{L9cyCT;WkQ92{PUn
z?vS-e_=u?&4QcPeMV);U_IB<pi-9vmx172M)83$Gh=8B6MzY4kKJ>?{ufkjRZC*--
zIsX0q5D0G`q}3()qf900XW<{LL1JmJTd|(UX;|Lg-!}<n{O?bj4cu5Ze=Hro?h^aU
z3bu;6U`gtCXp$+&{b`Z!m?EjCG3}8g_op^5Y~QBB9oiA2a<H*pQ}aVu^a~#?x!*0@
zbEuxw<q~(YaKXuka??ni|4*$7xu5>AtNi-|c!!63A`Se+k*+TX_V-(Bp@a>7aR_C?
zt-6nP{J{PAAC(id`EWd?>Y;h~Wsuhq(jTALT;2qHZn9RX06rPxJ1_=k79HC|>dbmq
zrkdc}4-?r*{hj;f&E)yO#C~@NGX8{H>BV@suKS(_8Q;}eGc68w3VIfo0mrh={<#W&
z{hUyGAD;Ye-hCZz?00{32mZ{bJ$4$V>(Obu1)DqP7oUX}{bZX%;r%;r*I2@<bZl<}
z;f}8PC~H{E*<IETE@KJ#tOsk*7@K&)0b=8g2VtMM_21{=bF#u`G~t!!A2?3ISKBUY
z=)k-UiH+oVI=}VlcU71vBygM@Z(Udir3O=<E*&}w7nO{?-U+ufCI31MTZjs0iNkMx
z?9erak7?&nkmpIwHq0mWU{k5j{XDSG_czwcutMC?xj8(~5_2B**#oB+-)Z;?pX}Vn
zEe<nA`}lOgBDV5tyI}7k^~^R{IR2ZFB&^R-x?V-vw>SS(gO3YsxK;v(7~W4I->=7i
zly~RChZZSkUEmL1Aqokwk89`clkmS^%^#y+7K2cWi}1~(+f>8hqlJh5orCY`T7M3L
z+xa^)ufzZ2=+5J*_}(~xlO<)%nw^9egph2Joh;e1ltN@zB*|6?l_*N~@GWaaQMQDn
z6p1W}A{4Sk)=++*^ZWDtdY+kk@60)KXU@!d=JGxb@AGiOT->1uI5aDg?=(DG{-T4l
z$A0DEcPC->;Pb(xzr5MAEAS}%cblp`X>SesRrhS*Ef$Nkq`m)_MrnQ+HXJ_t?h#C#
z!d++xS8v$uN7_^O5l3rH_};O~zE*h5W>iKVrhdk}w;g6QO^G1mxpbFbviHCXlT5`*
z@RSa}XD_@_q?Up#&r#53Gzfbikd`3h!I7PN?hnJxPy0jk;O4i(QRA?|VZ#D#xXE6(
ze-hrYae2iE-Zi>fI|oN@J0V8CU&Rk6u0>dLEB$$MSelai&l<e7)cZeE*u?F!={o#u
zjBCLf?&VUJr47gTp$ZVPg5!S{U7>?7o)_@7hsAe0dN9LUtbrMJu)oWvms{YZHv+$$
zU@qmjdt2f6-_G(lz!cv$uJORjU0Xff;9T9>ufp(sZ}&Sc@FvrmSTQ(K{E<=syxtVx
zEeT(dUU5DPhe@n8?t#_jQ_6$k(~9MJ3h<NQ!J$Ang+_f{5thCfCKnEe-dp{40A`7K
zc{~iZ=!;Q22-`N>KaPfT%-2^<-~iX2jU+!mcxRCXtaf*EQ3C8=Z)fTT@BEr2aTQ*a
zS<Ul+FVxG2l6Y&Oh|xv3qqAV0w7>XEE%(CVTfIt$N!&wT(e(zbF?u#H78ac!txbTh
z@>Bh}1!paqMr6VKI+7;wuvx~&z8rYsK}8m6?`G3pnI*9E?8ikie!m*Ld+`Ze9Al@K
z3O{0;2yTTNA{^&Qf2g`x*4YO0N{(og<uy4SpM8P_HTqAJ&)X=PWZwn<&9xIG--q?)
zi10A1oTBL;1=GcIz551RdcG71g@2o@crU;MPonSn!_>8+TywDJhE3*PaQ&bOjZ6fd
zzw*!TB<(43Q0drSI3t~3jP##xv8F;AFt2W25NSVlXAhp&gr8(`zbEZS!^=|nFl_6b
zxQ+C$vns}k=J2km4QEMvIrnOKpDXNthi{&=N5?-u;@x2h^%!juFM9gR>^z)wv@eyk
zKmCu(g%@Byd96v({u=t$y<*@k-q9N5^Vq*JzrG4H223T8_O_2QG4CeK*Betq^3{Cu
z))V3IZBtC1u=s0<d-?Dm|GYR7?@2LOD};pxHh%Mfm9Og8R=_r%yz*py>Du00)o>I|
zV3app8}8oQ1g|^_?sJ7ho7KZ#!(np5S5Lq`S1X;~!$s4XWyfF!jd=QISox!-lO?R1
zL^ah;@^{r<H-nj*i&aRz;~L$B2K-EsU!W7_-w?rZ0FFJE%R%DXDt&~-;49(ka^&+)
zUjDtf1J?F1Xm|wo>xsVY!u=@fbE|`S@SDx4nLY4Y+^_m;a4>bw`?GLsrqF*0@TWif
zm(RdnnL7<{z??BHxo+^hmX*XE_!_Tcy9;bj?-oq*(+@^VS;2=+Xrz(#72NnmWdj?u
zotTJ%sXLh+^k6Z0mCYC7vkATmhH#R~r451bhGd?D<bE&j9!FtcIJf*97rCFkv{=jS
z0r!}5i15MN19BBl!Y?}Amj&SCOfBCWVCp-+bIJYacA?UBTR7>CW-z&5U6bpQMcUiH
zb4L`G@q9tTE6Z8~xa@5f{VH6xX}O%VPenCRt|3_I>14MGZ1Vfm<aanQ;FP!`JYngq
zPo8(6*?U|^2EKD4N8l4YpD~go0XMCr29f6{-l?_EalwYC_N}(UjQT!WY;ejOF>CU?
zg|M-k69b7)9G0wy`ybcPZ-za?-}I5^GaU6Rc2U9KMW;)uVK&Y!9TafEn#1u@m{y(P
z_aF4fF~LZ=XK=p1Tj~;Qtgtvlp8wFII^OdWR-%`>PV%n`He4KqWy~^^i(sXQn!BXG
z4^fq}Jc2#w#Ps^%h^s=i_u<TcLZ`^_W4&7DRz6%Yd7YUYKTN_i4rakrY!OCp;5xt3
zNs|A3baCMoT<p%5MxICM<C<lE0q5=#K27oiE!}FWVSR@ffn<{Z>*(r3_=(TuCX&C%
z_T|4KnCjEdbGPB`p<OTU!TzE{h9qBw-o}F*A0t|{R^nj>I`gY(a8s({hXi>2Z?9|$
zoOCHA<SKmjde>ocynXZ`#_T$*KIyO$4<B3{rML{c-!wWBMDiIj!$|z5#qj!hc--QT
zB#DoUwX2fj{lluVPh@=$+q_0x;nuy3QQ<J#k&`rz@a)6ywj{s6jposDc*sS0QwZD^
zzSd$551wG^4}<0ZW&2yf|JgXj2Eby4DYwY~Pf&-9!v)wXPE*wg=4QCe><hEKS3ar(
zzoRkveio*c+VMvoc51qiuLNuV-m{hbAF7V+4^f3D3?I4ef*;$oeU^Zmgeqf1;K=bS
zkM<D1@7_)Re=9T#Pcgw$lrI^`|8L6ld;&e3QFZO90Q}QhMS}|773G^G3g5|&^rV1S
zi<A$L_1$-C;aSG>QcFw%Lge!VO<8po;Hm79CUJPm-*$cyKAQfjKnj*$$q*ce&qiCV
z?u3O*rGh`hjEx&=_Q6{;ia&P1YwX9$rQyW!n6FiEV(*S*65r+WhOPo0Tl%d|e*cv$
z=JH~g!LmwN1zxE%93s!R-5Q8^w;yIUyLICpY|yDwqz+qeYON;E&uwgBworq2taG}j
zz=y3{<+NdA3*+15c|5(Eq^}3zj=VdXaj@i|=?i_hH?_t48thQI^^`8meu$Gl0v_^i
z)is9ye9_Y*&kI^Ux;<kE|C~rzB+nC`r_^mXgP-s;2$Sazr5-U}Foi9n8QaM7jLXSY
zwnyL%7Rsw`@Z6J&RF<%vKvV&FUeZH;=XX2!SIpy1d-&n==~x?hv1BcrJdfGgo#1r>
zK36IF$Q-UL6sRTn#ca<vYr;GO)ptqzq<T9nuMS%$d^<>%_i|_WB>=OIoDm_*JB`cn
z@WB}-MXyQwd|PVOv4ZDOzr2*rI|f_*3;VYOoB7J5llD5PzMcIw9Q>=QS`XfyF+bJ>
zk8Hods0DwZ57e%JcRrz&RE1qWYw}dXDuokWO7Q08h^8m7>bvs`d*NPfgN&!}i9)3r
z3HYxORen0G&YIgs;sp}w9Vsy7!Asjnd;cR<wdV@l*U58m2YgR9h&mQt^!uYi+H+LT
zPG&!t&CQyh#EmIEl}^LAvy5Mp_WbYr{jpPUt7Jhg`MlDiA8gL>^^ch*q&+WB3cfrF
z|5%#eBLin1J~m|opP?PRMDlt2+x7L~Tpejg^8F%zG5YJkk2SfEk@(q~sxV3Tituq&
z5_iA4SV*2vKYG$4p7e(vXV;B9@SbCdKBPS-4&=yk!P^|-wvv3+kA2^m;KpRi&!qjf
z-_YB)34Ry*=MrhZoxj3=P{7&El8&VPK9+mR@(<77ix+brBk>1TPP{+hiECP_Brbg9
zw$2cowCBJGY2UR>ALhyP`j789zb5Tl{^37C^1Q!vs2BesxMif_%m6GU@Gs*OTvTHx
zK%V~>FrCzKh7D>{Tbkh-vF#iE;Fltu+sJ%{RXygC)9{O%?CmwM>nG700dT=i$+aq&
z?G(#?e|XP=SK$-*$MtR8!LY>c$gX0zL2HDK#3K^4zmfS$Vc!=z!eJ>IZv`@6j4tn6
z@I{zfvG_Zge^jkL#CIDO*6ea7^OLI1y=f%Jd%oGN?B`*FKb4oWU>ZdccVD<&FkLDW
zwlZ_w>JIlX`nHnuX-+<e6bG0x-#DNIj(?o5YXj4mDjg|@^8&Jbt>A_uoD@&t9QQFH
zW7s13??5&DqxGwyAsoTDecub1>;0_^GXLm%)9hk1yg|%w&ImrcP0*N}ughABYm@c)
zOO7*sfd}3%q>}kb!-*Epzrmefj;N9Eb7Zed`Y0Unai5z#al^Se@_)`(KT_oa^DfwT
z%)t8lUjA@`pS1R0T7b)kc(0s=3z*+Itic!G&6b{l4Q!Yz|G{R_=`>`16+g$1^W^+v
z->9-3$(PcUX=8#%I)@(w!w=`ieMI1+6Y`QI&JdygMigE|;T;lxQ6-*7&UXx1lM4dj
z!pE2XNx_*8N~>gkP)v|pzdY>mXHGN>rs;hnPtKpbVr~VH`9bswB^(FfCt3PAWPVVo
zt;q{=zLh3aXiC;U9<XqXoUcXyE^qUL8(89LP2lb+o-hwswaI<N629*6s({Q-T5qL_
zC)W?Bs>H2Nz_S8<-sJo*umxKk&Pep*vW7p0%gT`Xm5jkUOZKqt-cNRB@X|2b>=C%#
zmh#ko*wN!_8;PHPbN{9SJfF?6jjZqRUXN)}SX#S>lALd98!>T{`BlHlGkzJuTPM7f
z$b41)fLUg3c*UTenapRUZ}PX>50}J51d#c-;VB%->ae_@d=8oa|2O`4kQiK^GbBjn
zJM-}k*-FBqb?FACu(4H@i6G1>eCdP$ocL7d^j5g6uufhW?r>kOC+C;G0k#P&@Hy5~
z**vfpJ%0@&JSA&#lLkI=wBqYa)MLnvzkizSe;S%gbaim6zLN)u8||=S%Y(ahN(@MR
zDpo*^)Uz0U5|h3W{%KH@O6px$)h&MggZ8A}&8nROKWZJ1T7uIUt>$jPKEBy`q<yZX
zMKqE8kkJ&=X;_A>@!U0dn;UHcY41nt*@SPxHuW^h{cwq!*#}a8L+5U_-6#0M6~B8V
ze<W-$pY*59?HTlr@bF;vTXMeXfA#6Nldw|qq!;Or7Ly4nns5u{)3`F2Ht#=g9hm9R
zj=e=NWyKkBQMi4^l9lv-Mnz|{ZE(*M>JzzeOxV%NWz=KQb<_|b%UjiJGS9)PiGu#m
zVD^M94y&-b*4UwW_`k5}p+Q*gMgM<`a2wAPxp7#7hee1L+sl);W1t^C?ZX<tPPXs6
zn=+%YQ6QfcFU;>`dh|OyDkt)gAMQBJ_-GRDYLkrJ4(EHk>G=s8cRP=f_8|PXSdbpy
zmp<_P8#%bf!_j~aR;jx#u#dQrJDml-bl}MsE%=F?@9bvS->r48F8r)kOp^_kRGgW$
zfW=LHk{RLeT5S5H{qJB99_N6svK|;A*ISRLXWU3!HPl1Z8~)akSxw^4YtQrf!vUc(
zBdl<g@t1ex`mKfT$`uh<D08xaT;Ih?aFz+dYV{(N5pYRQEzM52B1i7q71$+2Pg)Fi
zl{mdG7FKbaxg-Tw-@U|1uE$5?&OX=;=ebig-hqAP>P%E%x=F5knIykO?ZSTe)1Kbq
z2k=Dg=93;UgAT8E6`VaeQ{fEDpMT9+0gE-6ojL}e${SpG0aG>B-?WAAeN@yX`D&Lh
zPwT_W0!Cu>aMGT+t-5gHYHq-DI7IiEzXHtVTxQh(TixB3wHN;S%wfF_{<0_1n0(&}
z%?m+a;0LZ;%cNdUOuXRsUYIW;IF}0+Kh8Te3X7%h#mpyCUo2?<IK1f8a)<}!{p{8K
z56)nF*-YZ$-@7F#BXRxm*NUIS_qdf6@WChK++Q=nAzm70Jg`yJ=d-kMX@wxm4!9-L
z^eqMKRa{UZ3NIh64<PM3#yaTSUbyL_M9XjZtIgtjdHCI8B|mB3`S1E4sK99#e(I9^
zC|P^z1F&HK*%Y$As6$dO55YGB-b}3^{yV9R+XViP-t+(!;)3ew%a*XNu%8>rFNiJ8
zvxVPqUSuG@M^iI1$^rJs%upcT-&K20zZ2ZGE*!&2e4VGp9d@TvenQ%-T7CJu^Kh86
zdYU$T-XS+83a<9G`*i@`a`4c%7?`@{le!*!TxWMk22A5V{DQ<^&xVMm!4<0RUi;vl
zY)|SOxZBY6jvPE!{o=u0cp~_hwghZXQ*bR8p58g(L)xp-DVyPZ_{&endKvh;jAZsR
zIJ3)$gXD+RTIbim@iz-Mk?)tKs2lwX)_QVh??G6jl6K%VoE*C8vH_gduu$_JmJ#~>
zh_tWS!b*-dcwo09g()1WQ!w8RA2HV1Wdz6FI&<hVY>`qHWC`omJM8`j7pmO4Zw7Oo
zlZqIE=U-DSk@mc_SJ3e%yknwI$Qq6`nW>zBUzF+io`7RB2a|upA8h#3Nq_h%R6a8g
zKXi<mBK?Jivf#rioEl@z<plGLhl~G%tJ-Q^N&m99^QWb`jPr|t>j|!~N|Cw!MtJn!
z@8Q#M(nB3pCit@0b4G8tiH2#46&BnOQ4$J^aZtB#!@+4fy+QCr{wWbY_`$Ed-I4HQ
z&F}^hcwo~h%S-UKwR?^du%F~$Y7Xp~{h!8OSRgI=)m`|2Vp@tk{KR^mBOi|SPCc&z
zi|OVaxDRW3Cbg--W15sVAHs2alZv%r@zUa|LRdOEX`>#@{%a#cDeO0sG-3?%4m_4G
zfhnJ-sU3#*+R{Z=z~A~4t32W1;46}3ePWmIvHHM8oBBeZ!kdlkci)9yX*|v*^`GK2
z!XvWblqV~{N&TnF9}XJDu#nDgZSwz0T@#z~815KRyz>Ay-xYkm0=5Wz^#6KM4{ij>
zyn>@f)~z}a7Y_AjX@;ksdtPjV`#zMozK0*MKWy)Tsf>$sJK<&zj@2&sX`#e&4}4?v
zX2u9S(<%CF1g@a7nE3`b*?BYlgai2FHGaYi*W9Om!PSdD-AVqE8Exh~d~(u`aS1-L
z`27=q6xtWx4jK}#&eoC^f(uJ*tfpa4&M7y2So+m}MqlAKiN{_V!t92vnLprnbq3jH
zFzvqOH$$+}{n|ekaMPL)_XPY(E~VTN=5lfMAo&by>@3c(on74XDY)bC!HwxK|3)5~
zPq55T$MH<~`3D870r-S-soH&*@x{KdFR+D;;7AVqj+#%Z6Bfwr_^$-EDdD)-3WpVV
zu04VK4ED5>`d67dngUv3JJE%+&G26uueLVWw{6pFvi(IA+2i_Q_w_C=vb^GQ?Z`K{
z?enNBSzb+p(s2zot~O&J%fC)A+_VB;7tpSL2}=suuS-W`{LC?wlI-t)h2qwGVd}^T
zGg9x%^rY3iF8qKyqooLzFxqKk0B71}@{>4S<da-an9rbdjI{5M^@;1=aLu(3`yauB
z`v0Xx!0+^Kl#+P*kL&Z7;e~=|Y7*DFlXxQ)K4c&kO5#6mME^{OSKe`dAniHi>yDEZ
zaIrSi8Pea5mF%dgf>pcM>Pdewe&c(g2_Cfk#!8mI8ywj24z}lLaU#o)3JW}Ghu1Rp
z#gcp@wVm{x@K~Dg*C(*^^D|9@@C&uc|Mwq_>ImWQaI8ni|N9T!Epdto_|;|EJd$5-
zX!Yb5EK<0p*8uzM`Fmp#_LH|dQwQshagQ&<)ROyOHo<JeE_t*u7|-n*U?uskp;sw3
z!3nFiPGo;%nsWthhtt{ysLAqdO*)-o@I~5cOR~I4PSi~~_}E^#T(Z9u|2!X8fLHG@
zEWLw!!;ZdHh4(BS6eRh%4@FKZ!?HOZt+lZ5`xnLsVdLz(i_hUKo|QZ;_`!(3ZX+D|
z_I8vZ?Co;jhpc~RXxD%d%sU=fN7nE6{LBjr_|o{ju{W@0&r_}=u>XUA{iMH7-Zxu3
z249rSba)Ss??^K_0ar=-JR$v^ZmEO88$MBAyn*Bg9u;vp4ey%?F(=1|k)yR*0r2|`
z$w4Il+D^92KzP9CWDDu9495)YqTvj&SU!?3&Tzl%3as|h(u*7~WDlq(-hdrkoNkl+
z%a(U16JSO4-6KEX4ld>96nOch9MdrDcsp}@I!qn1Vm|?&JJdB;0Ml7h6qEdr2M3fN
zz&A1*)=B?fDDYdZgiobanvB7Iliv?Nhn-n2WX-_Vk)hHJaQr9lCX&xBHGicMuDmMA
zy$Fk0#<{k@K_B@w=3rf?NZxjMX2YE!DqIgeyd}Ky3BF!^X)`6v_9xrC7yhKEVz&u4
zJLmsv8a{ga`$r1cGHdGgBy6NB8NQ75*$PLTor4uMHWx0y`p;K*X5rVS<~HQ}<WceV
z{Db*9XbMJQr(5x%Yw)H76KisOdTGmZjOq&RM<3mOksP1=kH%3^!s`k?d&u$Wu2f1L
z6C9q-5=M?M(qfxWF~IiUk4n9UDP*r|v%zP=c3P44oshaR!2%C&KSxsyv%fkOEecmg
zzY8Y)CnoQsqzG(K$SpzoW6$OCacOw--sB+i|6_by@TL^J@N#TdI$8eCl938L{=n`+
z5}f98bbdc9Rrqjc9Q<a);LuU{nlR@~7;GC%nQ{cy`0u5$5A2_B6JQVf{dPU)2~ULk
zx|4W)kz1rWyw$8;kHp_pF+VVcU(<b8CUKwRj8)|Pj6Y~64~ZX?Djk%A*%@}&nvvy=
z4ja?MJ1Bky8Nx!+xnfMP=Dqh#I<VF!t;>ILKI&gZnP&t$vj2WS&QCXvJimSb9)Hr%
z)C3Qd+$mOs-MLt@o8cebV$EFeErouCBQUS!&H@3r{b80psh4VDzI&V%c5VOmZWqjT
zQLu>{ju*fGTO2Ou`&&)oDqBuaFvICnqbVf5D7JkEsYhEC8lz6u&m!dbi3;BN(_4V7
zpS4?LodR~7U~1%r6D1rUEu)_8sb4cW+u)&a;qC>v$?=B15ZtD4;_?(+qu!o*5RQH{
zZ8!j*kyTsPg3TWkrjNpF>OV`#_DXxaHZcg7vK?czgxkM9RT+m{_sUM#5f@mWB>BHR
z3$@7hW?^S}`U`%`dvTjH%<k~$%Ow0xC#cH}KC`|x^e;U9&%E?BTwn9}{tDbN)6L)q
zcg>z$+<@Pck`Uc=5f-4ls!j5pw`T-hhI81)M;H;m853X=3xBupXQGFHKHOLu2UBQ@
z9A|^8vW9NlhWFDHMzO$-_ZYQOVeul$9m244)`W02oZcU9A^>mF7wNhWkEV6aNWn_R
z)TIyLIQ7F@CE)oqJ(tI@G{@aa71*RuLaPF%+s!dZ>hso1c4kz;A}f_L2Vq5SJC1JH
zs?y^FsrMUGR8ZXk8}DomCF_61ADPk%=deoW?uOTC6z9Ic!wDZ2Nj+d^-pNPfu+Va>
zHp#F0o=Z0cU&!5=MAp|EeQ{(CcG?zRL-O%9!PI3qO0V3W)cYL>`x>wgUzOh+r2(_H
z?7d8T72{Wz+XHOj(2Li4cfc3QBveR!UwR2Ax!o|=>zY{7UTu0Bige&6-<vy0ec*pK
zc{KWPZUX-WQty{tCS=$I?)apaZ49r--ML~!{HDf~)E|!YYNv366B-UpDZvAN!?`YS
zp?YJwEX=}s+VLzrd2nT%Y~N1iFgjoOxa8T??eO)R(#LMWHe>b2IN=H|d8!1s%}1S)
z38pIj$NCc9b9TD`X+Jve=PGL9=!$~(vvAWh<+JZ$wb@AC|F^#;NuFl-PY!+aFya*q
zZe2Yv<$=Df{qSW@>!5B}*xsp$)R!(3=4GFNlNG2{-@{uu+_(LPugIQ|8iD1gsVV-z
z#hwb5WPM(Wx@CXiH}AJDl6ulvd%oYKzJ}j-{wE*#K7L~KleF;1>(*X>;LAn%ZyDjS
z%I&vEJ?cC&%1~C=`oTZBjre_U2D0tA;gkA}cGPf>#6}hY_}}5wHFlWtW#QCzc=foQ
z2rF#WIHW5M-)d^`<AF`bqC}<Oz#|t^Nqy>qe9B%~c>nAnWm2CyyCc7RKfH04%8}Hk
zF1#_ZMFp1F=K4euF6G$&ULQVP_I8~dpHfQ0#Sg*EY`aaRVTqvkLpE@KQ*Z`3o_!w+
zjX47AUgbC11`8_M2z!$F70P;U_=5<|8#lP4>E7urFwaE#z0>dy6ZJb}e{R#)Gw_B_
zOb+YN!fge8;{LD;dx#e~-pO2udhZK6FbVUoVtZ+w<tPdy`Jc))$?=Z5yw)@T?vpw?
zM~*+23=E_~;qK%aZgRZ4yFS+u1h*O8e)}E1E^*;;IQ+(1e1;s~m@Pz(T!hs<TJC;^
zPxIWDi-zU6j=t`Ot;>vhBVoyC%5$x-EPHeLHCVJWF1;DPB;<GO3VbJ9?ob2#nR`;{
z27EKV*0&B$OiuiE9ge7S-c|v7?WTKi3%;m7t@jj8<|}qefT!ATEkA%4^aM3h;8{vu
z!9qCULE}gg+%sC=nhjs@m3fr`k5*_eWWv|<KDnjAT5FT{l3<#AHQgN8(c8N@5ssZ1
zp1cbyGIIu9gHwO%yvv0hw%yK-fz$6z_}qgZ3#lHy2y5&!Fe-w_J1YZ1;Fl+-f9I39
zw4=B`+|icx@EL6FX@1rR9$nNhFN2fh|B9S~ZQE{3SHpBQXADll^R5cr6>!}!?}{Bf
zz9!)P9!_R)^)iR`*{j%^;r23ienWV-9_4I1oRt-#sRs*vOiTIzo8;`8I{=6I+e>|i
z&##%g?1Sw?=Q;-Af*>l+J@88gsmEjRYV!#d30OPkrPT<Wna?sw>fdWBAD>=<&q;F~
z=Y_lFrxTaqtgCOC*kBW0J!9Hf+^@duX2%G>XX>1zf{l&%>1klj`>So6;dD7SnGNtE
z`sj0XaET57AgRxPT)EJk8I~P#*|-E>zGkXL;+==XIs4%?2X|o-FHCDz>4UFEEx%@f
ztvJIb$@>HLu<o@NhQ+SwA1Ch@5PnuoB?y~FtTU1K8TgMjeG`T0WmV;CVQb31-6TJL
zSHZ1E@TA!w-3~bQ>W``-c&N$!5y_vvn&$o=>|Ew~O#(g`+jS!g7Ry+W-UYAzyr!NE
z7gSG=?}Pp8mSPiNTF*84z3{esE|ZsFKharMCD`&x3M+X(gZ-meDiWvZs1bI7i<!=U
z+YkR2IHT(X-)wn!P8znRd`){0Hn+WQPS)=n_($RZ9MJYCQx-Ombc`kMm*@<Q4kF7J
zTitrH8=lG8DopZo%k&&YV84mUzpAi9*!dVC*gZVtKV`T~Nm6ku>|w`yOdpoM7a7S4
zN4qNKYr%sDXND=^J7MdQhH%mB*3Ij9|AnGY+%A$&)!16O2vfdjt2+kYaN8#_4Od9o
zy4b;os($tTfT_ga3%bF3&x-B%2J7E2Z*+l;Wxsv;1fTp-8G06edzgOvM_5-+b-ORD
z9`d^5Ej+_HK@kWGEPeX(8t$C*$~^~<g(ViefSo?RI35ZA)P1y20k34M(S*Y+Y99AX
z;C$h2X-V*hFTq^-@V}aZg=9GV+4EB*-g9d7Q7&8}@wBuM79IBAQ~<~9{Y_O0H=QuN
zTLT|odh1W(n)AUHFX5xH%AD2k?&~}<Z^`naqAKL`=gdR9U&Dp3rY4HvU+*8qcfy~W
zEB2A)3*(sOKf+2q;iK7bgHO(u&oGb9NyfWy>3<u_yWzHCshTACscHV93HVAvy;K|=
zNJI5|46YB1>%R;SComQ*!qTM*yDq{t8qTKkaQjA@Uh;mFbcr7ltMGTGu66Q$lsaRT
zkIQgZ-G9ZNFkNT)qjfmK?MxSW-%6kxlf_@S;k^1~2RP-}K;zcyIKQH|;Un*Bp<R{q
z;DrC>?QSuGJAS3=^21m3#%B%S&}QQtLHK$a=RtG$=+&G1<lybkluAjws>V1$0bUSw
zq9SoOykN!<-XrCFmc)Iw8HXFeja64(nZX<BpW0i%U80iXCUC}TSfv&0^~*$wyf3Ew
z^yuwl@Xx;K<CgH?>t{2^;m9H8l4EdClfZiy_>^g3mo2Ok`CHr#rnvQ1)Co3bwWB@_
z8%G>BJOSU)V5~X|-)T>oI1TUUI-e8-3(D@=;tfC5J2D#rx2R}4oP#S|8{S94l>+Ti
ze(<P9?v7~K#$~)a2)3MNrHO-c-=0}J4`*8sS0%u|1hdkwz+s!s@1(%4^TIEqU@vZI
zqfEHX-q7(5{Io4+=Y81c-ka!KuxwdUWFE|`+WRRTZZ-~5eF|qCeZ7t3({4GJTn;Y@
zcl(m|G&X+Za3gGW>Pbxs{N<X>gEz35O)X;%T*ve-rWF>|5#LMl`{{brI^fwEl@8K=
z=Mo(qTj2k;e|q=?=2~^DA^G!v2me;VbUz1Ey5J2}IwGX~XZWm|^uhsqts9!)&yMFL
z2I2S<<ztN`9{ogh43^vRwuiiLXC&nD;sPAlbx!0n9LqEHU<KBgxzO+ve*T|Z+Z^mU
zE1o$Cr&H!fEyGd{yVd@};qKB->#+NQU?=i^p1K8#7nE`MzP&-E8*u#U8~>V02MZ`Q
z^^oHi<rmt;&G0tX*E{GCe>}@oycOQ<Z01MuTkCZ<^THW!Mh%<c#-qJ=_rSlGH|+iY
z`Xbp@W#AC*m2eU-Ka%`O5q5bjmA?_L`q3q;3>PtNUuK3MXxT9zggeA7_!;47?!iVK
zxI15|h98b^vif-dK3T$$Opeda{Ha<b|MUF%=nmLvR7_YOp7|odC<dQRb$E3O?jPCD
zNB(ch-_y|B!b)b#?RVe;``UVYvi!4_Gx_l8oJ~KDz!{_Yhsgh%??PkRQP?ayc(NMa
z(QYtg46iLq<<!G}CvsH}!@A?#zu&@}{|=upfNLp!wY0!*uN`=P2)<&{%SYbF6R&W7
zKpP&~_;BeHys$$$iR4E<jJPufhc?u%%foHiQ{v?PJdfnK?8x>C;_eF||NmaK>Y-$N
z4(k19wgv~@yYqQ3%p!0zhZ^S#yD7d2ioq*~xve+D?*{e;?SR>D)8(_mhS#osXM<a<
z)D+42$@a;f1Dvq@R_PdW{!%AM9YywkuX3vDPS~d*U4;=&8x8xqAD)RSJWdNAnwP0i
zf!Q^esz|<O>vlSASR{+0pR}jy;Lagkc*9icEt21(SQTy!?|08AC+#mF#q}6DU+YpH
z*uDwz?=yQc$oqb5N4j)3z!$d<1cbr5TRLq>eBY&#Q^~NSV|_4*y9FFSm<CG@4`s2y
ze9sny$@P@AcWnd7-;<TM_5prett&%*@Ap$jRLJ#G5T`#A54=ew+hH2sxcp2=81}hp
zdzf4wl}d+el6cW5o5W^#<jZs>A3R987DTRx8XrBa=YV@CO076x&+hdO60bCI*CE%_
z_Qo}fBz|m*u&@lga$?ISet228i^TvQ4Q<>_wzqc6wFz>49H^`qP5RULUSDNPI6hh9
z7Zsdl6WM$W&ggn%K(=4+0WV$`nAy<Ei)_Euom&@O;jR>!?bL`5|ND765Pl@}QRgq>
zyVDX+2g5!GO8%1l@ucx2%XK(oPG4vhaY1&*iFmk%EmM|kPm!iqz4`EEFDXkB-}Bk?
zX%YO5lBR*IUt^kfp#`3c3(ca371L~a-ob-MFB~D;|E;-jRWH0@W>Jm{9zN|e@Ckkv
z6{RZx&v9<~FaxKh(20t||0P<_Pr<%Iw=RmqLWK%ii*QCQr@a*HnHT6ro^O!6qR2to
zcU!8=CTfhQSxUY5y&v91=OaZ48)Z)xsKIQ^+gi!}+cSs!qe=e?n6#NA<8R}`TZVPv
zt>!YCT(B;0S{>=X%#TmHvcpt7Dtx5>YFj8(@WHpgHvS>~zg5=lD>uCD4(nsm|DzAE
zgzSPdPuz`jf;Y$Q&k={u@fwah!%<6{f0Oss@So{<;|Zs}-oqscYbC~r_`o@y>n`#z
zi$5pjIau?#V5}@0^Y7i!^Kg6SRG$)j&eKLI4F2oAiBb`MsQi950@hl|%F=_+6x)Be
z3fn1_H)_K<I|icS;jtclXDe7C$M0kkJQ`zrm5gVeZ=~Q$gNu~LcAkXeyCpy6!_oAs
ze&qc%;_7R%Mev7bFB)9nAIB0{p1{Uq^<z%(n3S_;8N9hILXnJ@7WAy@SHpC82+j@G
z-uHmA4!*>-;cp=PVnlo3HCcZDs&D|@WBvX2d$?w&?3NoO9v#uv2^SV_SGW!zvv!mC
z1g}dCT)qwOW81X3A3i4izAynkVmRmg4d$G^ypjqFPRIyP!vmKswMc#twMfVeY~V|O
zD+BibX0P}UKDev->m8V}&*~OMJdWQ7LnX6d`oH6iJK>kvCpX8#*K6m5CE(~B7F&|P
zac9iBEZm&Y8F~xeVt(6B9`5N4Z6)K+_e^RyHDN!e6)uwBZ`<yx4KuW4pSla18${9D
z!neg=bdm9CyORG-9fijV9Yjf7Yi_T$6HMR7Xh7E2S7({+3}>Ylr;zdP)A1vrp0K3h
zkr(9tZ1O9HK5zJ+&JrUTA3w6G+Aji*y51c`;(96LA1=d-|M@nP`?ov)JO3~iei^WN
zCKoPFeXuDWKK1V2fnr#Zi%%j3_Sne8OUB>DB1~eg!UN^`?o}{*a#bN&|7a4kP7N$V
zWm8MyZ}a=*x?#zhszDO>Gt_4J48LI5nM&4Ickg^Lxj*awBjWibSZ(F&)k%2x&-~da
z;sTakf8l+zdUwL$_{V2y$o-4XkxO$V-<6Tck`8u1*Uk|HKP~r>ribgFyoic~AA5fE
zmVg<Qw3^Ss$5s<XW#N%4Dk>M@OB?5%$n$A#mwfF5;o%AM1LXZ1zL=mH3U>`&>UV(;
zo!GuV0HzB3R!QEcp)p-BOFr-8D@L0Ou;aFmZ2oXFlZRXgTyMc~n&k6TQbv;ZW6TKc
zPdE*4xPSCGdH+S$o1kf5c>lw>M>pW^-Dxaj|1l~bx|&F=^VO5=KZ)$&&uQ=$&E>dL
z@Oaz)r<t(b$Ndv-@bs;A>O45f#gvh>k7O6oZw2tMU1uZ74_mSbBk#vhVER6K0{$74
zXIn#jR!ocJzt=lZ*a!!|kZ~dHjn60kaudAAp<KWLZrM`1{WBc+wpyLE&)#uHiZ3v&
zjMg7}IBHns?j)>JuEA>!oBCY6@C$abiV7h40yDzzmSFFD=c*6EUSG;C{)IoNR&bfX
z8(WOpXz;w@Et;bJdT^9PVi6s@i*53@0nB<qVwKdNZ}jag*MvQTeY)A;>+?M9I`EkI
zCNVyEVS-xW0LgFBrxb*z2DK72;K;6FQ*l`6%&syeIGlHz#4cF7&y7VD{t^B>NETMz
zU?{5qm%A@p$-~SK-;I;};DeHj+Hm#kJq9^=^~<StJ=j_HhbzfHZnQ!8F#MLO`syCI
z@QTtJd0v+H2ZOaT9C~a2)eu<BLsQ`(+)lOjh&-<v*Y-=2Z0}Y*1D<Ypy=*=~7e3U-
z`=B4*XlwjSALh$=xH<yso6NJ2->+UY)%_Db?`q^ljvvg;VPe1Gn8dh}eQ-tf(w8MT
zJNG*S`Tk)B*CfdE)gE8Mr1rvpB^owT!BU?kMoE6T`FJj=M=m5$PbUKpj0uI4dgYsb
zvg?uUJF`{M*a6NNN)j`IZ6=m{?cv6MUz9E24Odeg0${}?^J63)IQ~`T0=)WIhSLo8
z%$e)E3LCg&?=ysxpURhChr=@#4w3k0wa)vbp10b(oi~Y>aByBC^}GE8G{sHfH|#rw
zs^B1wA(|ubAKo8Y<?t2V?iY4&lH}a*8@Q%S_8a*=c6$43-@&`~KU5+4J(hJ$9q>^d
zb6(P3x9kes+XhSYc1e@tr{*;6wx2MK>m_E={}hBObw=P@H8-0`e?9o{`Hw}o@UVJb
z06c2sws{`*wK{ep7`B-@RX~mT2DLLx2O{9YHKtZdxbL3gax{GD5uFz+d{ld?I}Y}j
zD7?uGf6o`WkqGC^WJ(Lc2_}8ssj%!<B};zTD`bmWE?l_p`j8GBpVGni5KcWVv{4Jb
zF)!8q7@p$Xm}>#|a?Y1kz^)H(y(9In^G2J+U&5_tE$RH=Kh!C-Z{f5feRwhvpQmT#
z)C{v!>II*N<7Y(<euVva-(`{c9c)SktKG2Me_02j;GI7Md%wcUXZcQ&`67|8KFxfG
zM_Vn;(qX#X^)3Bykjz)fyKwO#56d}NK)`GHC)_Y|;oKx#TC~zZ=F^BDO{4e=Khw!t
z7sGs<r7al)R5x(FrB1(nJN)mJW(hNFGv8Ta1Xs<N#B;*jJNI=Nz}3&x^m*Yng;75{
zIBm>m$2Pd)vu3h2+&FZ+R2F_88`nVQQ^i>w=-ds*Iqttp=3|v*9GxKXqHB`Z$$YVs
zPh=S+;Cj&>*T=Bg5BH1m@UrCATv8wSmB-(Dark?N$FUxm!iHXO7c4>b{J}T4PU*t|
z5m@HFL(DK)ern<m$&U@(AU+R!j_30T!#S<F8<yY~#pMAc|C#F2;dS`u!PCin@J+cC
z$qks_mwZ3YjO0i2DYcOLz?&@8{di!X*S&ch@M4IAq#$fY6Qm;sXX!E+Z-uoSdA5=I
zv@MF#bo}tv<;uGKa5jJE4zm5W&{?OGda%shD??;`{qu`Tq`oU<_Z=#Bc%VFy(-c<9
zEIL8*<@XLdlX|XPa$1+j{#dvZqCx7tJ~@4)e+yiE=KT#P_)kxWAT`X+yrN6yQ+mo}
zeWrt{f2EBC!h7b+cvi8$HP~u1Nc~quPu*O4#BCC$n=0Ynr!u3YJ(!HMUaW=fW_hoY
z{Mz3yrOV;BepJm<aJJj0(dTf)t$D8r_-=Y+av9uh^7#>IpB}PTOse2jgXZ}j_=(cj
zk^=aU{1bW7-oLbbI8_WkW-je%f~9iKZOwyexyAm}!`GkuoFn;J$9AXJ!mk?Q?q!qw
zWR|a_zp?wd+L8Q=FZnJO!}E_eGu(y0Dy-LK!?GcrFYm#F+N>w<!f%HC{L<lqx!HR+
z;oohNyGZ@np;3B0a(<=i_^vkv-hR}g-~v2+=#?jlXO{#VIuBPY9pz7jue=@hJOjH}
z<}Z`=t^KKa>j%H7X3-<{ZB2L%8<PLu3p_$kNxfQ`?u*lwu$fP(GpT3G#b=LKeqp@r
z@%95``|?He7z@MVBPnrj;6(}#ZyvZeztZg;{Aoa}nGbGN-c$Jz4*2Ce!2yroJ#>rA
zx0OC9rMDH<z4>zZD_kjd>E{B@pVdvocTd7r6tX(YaL#b{g?U(}q(65Ut~RWo{|nP@
zyh=3!x1W%=qrrS$-OJOOJ@76q`7QKtRA*9FFWlBtdV&q+&zk<$0!uOHb8^E~qlu~?
z;Nw&~T!i6Fih+=Nxa0u~AE`eZtA44s0Y1l);IRi5_Q+m&4u=?r>&U`S1vHP;!uc%J
zNu*xESigNh1-$ZW_B5$yAV^EmSq0x_Ia^2S5lq-|&6mQvZyrx0^$Kbi%T1rb`&ov@
zNxgw>L+?%(!z{ARjb#2f+cT?SvcBPfk5pv7dDW|9ROI@|(ffHnsRzJjR`{GOA3*gY
zBnED}Q22!`Z}TA6`Wl=lad<z;rwkU)PlW5n5806Gt!=LvBa+~4EOSpE!W#2&A2VUk
zn(MbiU@7_V)+eyqneD&H^<d(T%>vc%zgl|MK==a3r{x;hU^Lr12(~_TT<<k}-NROb
z7Zy6Eq&5vx)qaQ};}4A!ZPyp!XpY<YoN%AJr|TbB{mUjAZg}koRRtyLX$*eUIZ3Yf
zWn5qBl6tTX9M9^=_`^)su{*4=|JY>cSBwv|U%m271lHPX(l-D*JlH`i0n^t1S?Pf%
z|K9s11uul!9qEG?L$sv#!Rr227WZJ+)>0~CSUibtIU8nsO<$%BTc$aji-O<edh#EJ
zce+hTU4xmgzk2Qfdw&fuCgaDSjXCd}gonJTH(r4SuX`!@!}e=e#KPg16faoL!vV!@
z;Ur)5zT1h5Fz?61Ib=LKt+HGx0;XmBW=rzN7?^uWJ(c%*win3wwQPr78L79D(U#p!
z@&&^;Qs0Gxv$+<}!3sYQ_h-X<)9uXy;iARAl7+C?hPE@laQr`QI#M6@F;_tpiLdX{
zUuuL)%=^BdgikARMv?li-?)V|PQlbK8@jsT#g4EOCtxb04JDu9HHKHu9bw_UCF_GQ
z<59sccJPq><md0Ov&75{iJ#+GXd?As<+mPWIST)ylKGF+i&duh*hJRH)_V2e7Pym|
zf6NAU@^0i~hXtLSwMc%QwXY|s54#<+V~pWw_W_}8@Zy0GWpntShjJaMmm^74ZF>kl
zH|?D&4~HB#U^@&;>b={q16wLzk~M&xg4fve;TPs_<4At0RH4&hm{mvOy&BByO1t$4
zOlf&$rv^N5<>{&8u)jx!o)XL(KcL|V3r`K+Q-PzI<8Qjdw#l1b$-~}HpLuw}&tr{*
z6k*?6F4g{UDSv|fE?D~UL!Th{5?x1?1l+N1UmF1{P5=5V3g15$ni2&+HI!D^0S}8v
z|BQpTzt*!9hHaIN8g9adNimN_U>V(Y)>OEB@dXnztRSGBodb8N|8d^}KP~(-L+UL>
zeq}14f+==!-!Fl`@$1mg!XjcH=1Dy#haCOdFSuV65H`s24)!}F?9>bE@Qc>h!wT*!
zb&YUI{+cm~e=v~YYl8b#pJ#rA8%#u%>*1%f`RBXfyA!knFW^|iu^sPW_wIh>LRji%
z(lZk0ZCtqX0M>H1rR|5?TwA&_;d5WvtA^o|M&D$z;ca5Qn<n84Duq6Yu>7Bxnpt?5
zv%2{<9QfFTaRs(0pmFho)4v-T)1m&B{bhj*7vQ&FAF2w&G~0~rF2R`X=_COE{v75L
z1J|T0o9}}!{Vg+%hx-&f1La_j>89)V;60J*x?ymOYsiBPm@0x>I2<;lZ9bU;n};UX
zCBXNR&qt)e@lvN#Z^OzQ!t-Q#BS!bn&*0j|m#pOX{kw6nv=TN`zZj7RXT-_>CiPi6
znK*N@;I}`RT1frXF_pcCYvI@7&OM|aUFNGAS#m$J*(mg%4s7FMJMj({2_MWL_3Xly
zM_bxqovQf;3)q}J()B0IreE?c4{q7ryn6|5V=0#)^+kEv9X^ozi<eiJzowAo|1NJ8
zKzpzi@2Mm8Om~i5dd>@{HY%LC2><5H3fl>%z201N0d`mt6%mKqI^Df|;VWXAo~Cfw
zqf}D|I7POl$qe?}FPG&8-yeBt><wo)o!Dm&&vqUuBKPa0m*%5f;J1I<1E0d1e~zw`
z-^*BashiyYn&UrXVg~COR$n0ZuWnw(tJ~pT&$FM%{VSc$MrIOUX;4r70^j!@wLJu@
zv{Eef!**kCg=BlM#k=(UfIWidKOBbrXm-n!`&Z5~{(_`FV9w)(C362tdpN|M<d?D3
zTaf!x`(CY99)+paL>0*RHtlfWfDNqhW+8!$U&~P}N;$%^O)o5&;e@w80!cns@a-pC
z;Jhuz-;#Q>RX6`6ZiVHaw@s7n^Y(G)3>nW4QP)!=^=9=prk9fYAy&eIS4jS5mQa@6
za8O%fk0;EKb+AJbzSv?bLh9K@+}tg#3<u}7_>y|GvEJ9Wko!$X$9E=^{Jkv~ytUvk
ziqz4wFo(id6GJ%k<!=VEzb4mP9~i-}*d30N{rTVD1Rp!te>-g+$(Js<)^ZFE&pxvl
z44+OfJnak9>_6l};!<S~-k*iNK9oKsas7qO#pM59rfR-75Iz{Vg&`Dv9BaEP9NwyX
zdMXl*TSzhqgAMit8AQXv)T^1%aM#V=-ElDIgzT$GSa14g%ni6g{x;inc)lgiFcY?j
zUp_|i1zBI@XTizT)(_+1wbqV9PvH&pZG0qtIB>3@91cv`?MdQknHGCGV1M~L6lDG9
zcU_F_g6}p@nZ&~FoV!fO`Qw)khE!5tQas_$EE(TTI#FQ|3M;)%DkI~&eQ%p@orfPP
zIvtsWhhLx9J`G>>exNu98=MSvC-sCcTAc4A<G+%1yLp}A4}D=L7;rwT!nM7aw4Xhr
zH8o6dxWDf|(jL;i{$`T%-@0!uBFEvfLy<P*d^y~4y`JpfzP{H=<b3+5()0+~zp;bK
z?qocu?M~LqOt{*8%#e&1=_g$tO@j|^o^w)#8AQ#x%3vCX^l%avv^!l=4sWkwStjFI
zjj2IXJ#c@)na^ZACP~1CmDB^CN>RB*#!GH`^puRi&r>%Xv4QjYB3Hh_rT(TqWW0}e
zm*UtTSdgm1l#B<yp{8YAf={X4rzhhb9Mb_s8&Qw+LMQVS8IKf|S8t<+S>A5SC*vKJ
z(ht2k;5VlNu7tunzWXGy!i^lET4cOqdG?cx2+UhEElS3F>$lvt5`y#V;?&6XPSevJ
zTBLsJ+9b75GOQ^*;7aPP<}Tb0A>$o1GmI5#@a{(p$I11R+gR-vWs)DWpNEWpJeJ@N
zIs~&Al&(I2?QS;S)rU*_C!dk)vC2_yHCxy$-z~WU&Z?+$JObaOwR%jh-xS{}n4X4(
zEqfAP!=>}xXT9L~_V5{U{dc2hwZR`&d_eQ@1N{BcoiS3+*Wq^A9x@){nq9Ro2o_k|
zx8*Z@yXo-J^DwR1gm)iYFXC53>icTz&dU6RjsM=7zW^VJDvBr9r#|7Oni25NCy&hj
zz$NDzV?$t}KA#eDeOoO$*hlL1D$>l}+<@z0{~t~iBwr!**)MWE&D$1Yat+ouRct5M
z%lV9JelhR?t=3o;*d=c_YYJSj!Q7h*rayd7Aql3MeH$$R@6{O=DTamREZjti4J`E@
zz%Q0_)MQ|>pM@P=@UhB$LW=N=2>bF!n6tV2jt0EFSyyfzZrZB&ObI^uX^43V-Y43B
zO$TOX;7$`#M?Sku;Q_dm;@LS7ShkGAMGGGL)x<6bU#fJ7RD~1ooSadBudD8<FofHg
z65qMP`Xawm%wWs4nQ3R3iDGWag5>X8Q1yoM&OG~U2bbp<J9@ykgj?nu;p}O1lSr6#
z>+LQ#_(f^1-zE6JlAOJsuop${%Pa6z4ovrfKc9MM9tscN=-zr2cCUJs69o&NrPr>4
zPh3{a@`Yn`75{q<^W^XPbpg&u&v$tTC%yIC=MSfCWEJ@Uix(g6x(qjKv`}}$hv&Ti
zgu}D-*OEuz-`u^zHSkTLx@QCM9`jd!YvH(?x7$hFT`Od~2X4Jm_lv}T9z6BB4}QzO
z$#@8UdccI^JAC)<9?w4b)_}t72>j@v-H-3^JAqCKIt@IpFz!#)4}ZD+oQ@v$EqoR{
z3dhcvX-U8n^Y`ti;d~hv*PX;cf1l65r<e4~W#Hw*Q<+QfpQlIqq+ni&Ji9emmxep=
z0BpE9Rh8-{`tP1?87lC(V{2(N@aqbSNiA6V&94v!c-ILUmV@xC{k2M4;7<xK9-6^-
zik|Xqh4b`l+D%}(=50Yd@Q0*3Le_B3mz^nWFhx?znl0S@ag>!GZsw#=3?|E$j?at0
zu^;}}1;T+b4(4KTV`f|7CAeb#q`V|N)Y;e?3XjKsF_nWK^&PCf1Al(l?oHxFeWrI(
zVKrUT_j};Vf$bwX@YMZd#R_oAdydUnaOUsW5iNMjhvlJmm^c44wHoYc#8le}KVsn(
z(uQv*1r|-gv-S(BBp%os7d-=eIdHBXgt?FI5~Vzd^P9$>TUB6xb2Un8_<ZSw0Fp1k
z!(hq)XFlXCm4;V(chj-LY94Z@<zd_8xA(WftC1_$rQolA-IqjR0VZC<y|C_8KS2eU
zUA5O$0#@Y?TUCS`r`_L>e7iy;0}Z&eSoDWDT-0kNrUmzRJ=NR=^EZq7AA(=(@N^*C
z_f@*YVH21_`B@)XpLCIP>}lA(Z_^9%c~UoROT6I5g<wThczRdlL>w%f+`~h*SIv<#
z%(1Xr_1W7-@Z;cX1`pwe<2?Zuu<Fcd??Tw*$j?MO*qNfrwgLWl(d?WfT-TBuS_j|n
zuHSnKHkIe*YlqL!NpX6^w>^I!XoVa33p;$_k{@1Q`{Ax5+|L5xzGw}~FR<Sww~rTL
zb_3t3c{p3WzbqP_(mJr^H>_O|;2R6O1QtKqpo#J7uwNF5Fx$YnkL!r%=hT<phR1s)
zgy|4>U)Z0N4rkQ-(xQP|qF5F(VgLF65*gudC$D_E4~tkhmTxBOJ9$zeA6{x?r)7h;
zw0_-M3>W6K?qq?5(lfhD;nVti-Uz{kjJ%aq@W_qfaejEFk78>L+|hV*zZhKG6SC3(
zYhTqkCISy=T2wT_3gsy)d*Qcwov9yShY?Ky8F=^Ea_dewM&wSl27Ecantuom9r?0B
z1@`288vGqLv4}XV1us5VI6eW}tO)v(eCPXeFQ#Co|6Vod!@^wqB35CQ^Rt^teptyt
z4T=O@Z@J3lTfmo=8$~w4{gDmLhv8I-_V7*co_<FjTUc<gTbB!7$~x;n^6yjp%;ko=
zwrwdn3U`f8c!<Lje_5BT;Ktw7%{yU({0G{{;TQ&*8~fmgX_>J$@Y2RnX?b{-W1|}R
zyb}){*i_)o<sb)Rcr8rKlH}X}IrK^uW>8Aqrv{7Ps2f#+zueN}A@O6Imsf@1fsrR`
zs_=<Z9)f~o`F)qv_QR*j_J=dUO_|??)M3lUqWknP=gPmZgYe7`&3Uqa2PYgI_2Evx
z$6Q<B9yT2+T{y;>=PhYJ&v#HYS-`#KQ_NJb^vZVeBk(2FaC@@8QqG7?_VA&=AD2je
zhE;*<3Aj4rd>d&mO#e0-o`S=yKFyK#cIJU>p&R_<sp~;b_+9_a*we80#7k%LeTr7=
zCVb)Jm(9v};n51A)<Bq3G5^z6SYOLRG8lfvpddzm|H;@g<_NO9O0>QJtQ$4yeHrdD
zWJ@OPPu0fga4hV%e7u^pzufvOC2?@#!SPKJu+(3hO&4Gk^tdYr9~r#iO4iRbb7h*e
zH~#~oQT{MHr+o7P_{(sj7Ri6|!r0XmF0c}I^n)vtm$l5{zfB23=i#%dTZWuqPg8ES
zGjQ0BsuwPBW`J1+$#*K&Ve}#K8=Y02F!R9V&ogkT1S5|R?A{otcmeM1zPis9E>Gg;
z2!Z9tUM9K2*S-`wU4|cvsFXRu0VapkV_?2QKQ<Tm)%@qU8}R74G3n#5;if>3MA*Ss
z@P-4-$+WR54fbz~e`pKKzxppJ6JAk&&2S73-XZ%V7q*a=-DL&KUTmo^fQLC;uUNxN
znszKt;LxNGxrbpb)w#(sc*`s`Eom>8PlPMiz&|&*iWtF;t6W>_;Kjs_L6Xm4tnjoA
z-d43|-2nca{_bW6+&RqkhkSl@v@|WJ7PgnPJtt{zEz56*w!-%Vv;A%0-2W_OgyEB#
zA|-|}jdj?#80-`2#B2<AoTcBt2eyjs(I@Ty%GF)J<=`WY90jEPt8-VVtHP%>iz%dF
zr){R)+OWye$Z=`dSN_{}W7x5dErj%EHaADg!|>X=k`3v<l?9SlFTfSfHs{Flo=uNk
zLdf#Xce=>(Y99_fy$lx&1yzv#x;?Y1CmfC)Opw=r&-jh9-h+)+L$~U|FQRP~vf=$4
zEdgYET$>n*EP!dND*ngOeaCb8wQ&GfghXYeluc2Tkr5J+5kf>nNM);#%zjpgj8w{&
zJu)JtXvj)LMrKrmvUdo1KIi%K{kpDme|^un&wa*yaE{cMr}ydXOj!Nxc{b7>`P61A
zrLdg+sZ~?>(}oW=C2)*Eh6!o!gMyl+ui=RB=wsx57)dVdc?E|&W_nHTFZQ_-malME
z4_)#Nc-vFPBVBMbRS~-{{NxUe^D=zwc+q+gToG;>{Ri%@-ONe)&&;KI-)$<GU!8y3
za0xD;&dcM5+xPDiBK=)+qtJ>VY@xYbojeaz(rY?}VDDi~D-sV&JYIDI7EBTjAn~P5
zy~%3u?pjKv%W&da=TRe=A*#=eJYQDXoY+j@E=PfzB%VhzLUkQ})3g{%;{Kz4{WoCI
z1J=vrdXdBbM10_Aff^kxSeE-`O)zY*cBqitAB&HrS?<D5;$|Dj^DbntdioxGnD;{{
z$q${a3QvQ>d}y!e!+$~~iXOu>!tRX*u)=K7dNzE6rR*uG{~gqve3@{x0{dsuAKg15
zw!VY)!h&f@d)4N>`cMsr-deRL{YT4GlC=>wXD~@2?S1V2na`~-=XXU59rzcYw!=?Y
zL;klnxj)LwdenzutG;GA(w`(V+J^qX4%$ves_^WTS>-aEXx@H<#KkmP^O;mJKfdg6
zpTtc}&WG-RId#S+P2e=+cr6P!f7x~m`92|!h4){CS=nanNPi3ap6X@~m+IRG>%wgx
z#LirSDSpok>%oau*{L_+snD-nDsU?8TN7{C_rc&dGM?;m&tD3IC4Ek>kp5<MLb5#)
zrgiQ(NAmqP=JUnCug8zMk@1cHnm9!~e7)eLlrqe-%#-*8=9Q?<5`dp~a%?Mw?=`Eb
z?}aUSQ!5JK7{>HVobXwPory)T{~|{<H!LObVC)qvai5Eg9^REY;9Cj%&E9w43U^Ol
z_*@SMOVp0cVt&v*Ift`Lcs@popIm?!TW>^ugVU+Y{eHnBx(C$<;Y&vR{UdOCX3@iO
zxcI=uH8MZ>)JW?x1#g>aFdc&FZ-u{Kgk|)pJ-)$KS_6rHVX=rST|Z!FOY8BCYPes0
z)91V4m4;V!o8b2%^k;hEj^heDx5D>|<gc~E;aZV%+u;}O>7P4c8QvXAZ19<1Eo03v
zTazUxJDh)e3tbm%V>q{261F@fvabd9sZ$)5hCR4r1KZ#WOEnUT@JBVeKc(<`LSKd^
zTqogRK<0BNFImm&!!LOKoXC97tvbEg5I%fsp!qrcaO@zLIZPeCVKbR8zVc4(yaclh
zncL*TlB@^!Il@6^?yt#w^!=HdGFO;Gq-9SGyvIdv^M7#He5-U6eALos$QSOB5qd=C
zvsZu6ON79Zk%G_2d^h!)^!6|~S>2Z@63)`DF?#?%IOuWcHvHRXLiQ1S(WE&%6#n?e
zD<m0i@6YOYg++f1aAd;^!OM#7@N}w+!&CV1m(T8Y@J_uP{uglEHO?*vSSnb~<t@y3
zkZS%iOrxf!^B%5~*VDIwDS8JJKf;eRrZe^7?>RfgTZy#;E*rrk2abOpfDe5z_B#!8
zo1S_y1gE`7`$6)h_y(3I;NrKgt6H$d!dUw>ykRxd!w|lC;plcIb+rHZxAW&=O_f6u
z+u;9B%6zqgFUw!OA__}dEdDWvv(x-E4#UjHpFF<=Q}1~EOBt@%HydjYKMlFF<v1*-
z;I)&~$H&TY6-!uNsD8x@&htvPHHR54CYO=*$64hf>TB@4(M%Fqe*|5QJm3gBoNYT#
z+9Oy#;loY%@L546(q7AT*T+2JfQqCP(%#Oj%Q6A*+d(zEG}z=>q94iMAz$;6tT(9l
zb2SITy7%qxJ%cazJlp9DKk1p8c@9gui(B1>>n-n>k@dr-W2O22@PSy)-L>!^%EPOn
zu+!Alf1lu=`=_`_zW&iN?+*CRYO8S$To}WAp$|5<3ci^M=h&a*CjHg^uk-Fw_(e+w
z73t3x8hMVD!1MOMtH}Dn#fkQ7HC*sjEqflmm0$GlJ$$0)_y@9{2os?k?SZ>mGM{Y3
z^JG(H216Gd_=DP>22SDj%l!?%>A#{wo;UpLoJ~V;!9#{ayJ4AmQNwK~vERh*%ftg`
za@Tm!!(!|8VuJ9`%}bZ|!r}DFtRnEeu)y2A@Et~m8)C4e<w(Z?c)Ic@4SC-86)j!j
zg5N%SWlhG9-jK7;1YoLlVJ$NLP#3mz@WX#BX!6MTbLah`y$50I%?<L`;luIM#XN9v
z!Em1wT+;UF5*yt5r8LtA4nJ!3gc<G<N}=|LZ+&~cyayJ1-}dYwTza+rB8kTb)-uP!
zG5Z9IN&Gb3R7E~)?Z?SZ;=D)4xSzs%PdVC=IK4pL$Q#&L_}|kVFo$~K$qKlHOJkh_
z9uD~U=L;NUNo`BwnoJ#rop8FHb}5M;cq=aVjpR!P_UwjVzEO_<0Uvg65afgBbT=|m
z-pBLHF1?Ed9(cv$v<aSxAKXXEoAo+w<bf#%b)GT8-EOs&d*Qf8H9Dle;}h7jgkhfS
zc4tz*pDBE-#o$~!)or3M^^bi42jEekBje)mG4|Rt5|>T>-k}L|l<vKK1lBq|x~vYf
zEKcq}34cAM%Mkz{wwLNW4;LR)3G#$1sDh;};OtY*U;N?Um9u-SVf9q2MIX4eQO(;H
zc3q89xeYHUmUP^MTcp-l-C)zhyQQOHQwN^QB>&FkZ|kYBEMIG`2dtx}X^{cX`^+u*
z!Nan(GZpZXj=-%O@B)p3UKQM$uiW|{d}cs1ZyX-aN=tQw>ANQz=iqlT{b50{<C1Fe
zU-)=pSRwg7&95Y)sUKiJssFoVKCEZ*$b$h^z3y+63$L-c$Fsl<joC_7aNLVr_5E<2
zm~(C!yyvW8ju0$n;<;1_&;OeIWda98?Hw(EEhh5S&0t0Uy+=yno-mq&m*KbV3Fk`S
zBu<{ESKuh^sC(`3^n3pYt}y!`#q(C!El_vC4Xzeh+4vRyQ(WBrAN)$uYHt_J^81#o
zAFNz!=JEs1yQoeX3CBAMzU+aOZu4A<f_vCFsei)y9scSuu<TQBL6U#V!6GLP)_ZvE
z#&0;AwO959yev_@-V1Mtsfm9Ho9uaZY6x~X-LBpUQ#ps0kT{)UUCw9tv%Tv^62EB6
z6VU-*kbllU04IOkHPr>rUQ2Qwh3CDU+rGoU-gH0s1-ENokr;rLgx(KK!O`v9Yg6!j
z4Iu%N|LY;2*(~h*ZJX;X+<3BWA4N3YuQ1xZ8i()w?G4@t@B5@lvjDGNlyKM#2WC6(
zC;7h(7B9-d|2`iJd#r)qpWyIQSAu6VGz$`8pW(v}C*c6DvPUmqW{E0YU3im5#j9s<
zC;v%i1Nc+2u|YM==J|Ee1l})x&h0%cD}ANR0;Z0hWNL-?KA=pth9x3LBtFA$IMOaS
zz-;U8&EH`Se>qhbc;|&Hv%RoO*DqRkc%^SCd;)%aB4FY__<h#z!ckb#WX<_DEH*Vg
zyhRi1fyJ{Ce(<{Urkbs=M8%%dK``f?U<)o-)Zwaw53E=ncZ?T)q?T}(#It{X6_A6i
z1BaiG`0b&|O~>HfGFlA&aMEmnzABtfbx+U>zVz^&*h%=emf0A|mwl_yXbkfUCQ^IA
zdOLNVn8Fb%4j*sAb+JvVj_?)H^uZgjaCR^MHJF0$Mi#l=i9nMIU)Y@^tMWShSKTHl
z06q}Bo!<>U|5jl94lKV-Uf~)%%O_qR0ee<$-{=Z^uoqoUhPRnWaa@7*rOT94Vdp{m
zAI|Wd&?DcAVfQ;iEB5fSbBb@C!%>QlOi8}joprjmaL!Jz<K%jAS$~AfVSU?of}}o=
zm8TXB!iAOj45YqWsG{2XVY`Uz<}mmM#m1|%aK=>Z^ZT%0(dgYN_*5nP&WEu2wv=y+
z@YsN$cqIJX>DBAMaIesl`%&<O$Td1jEv&!pzx)^g57oxh(!%~<q=iWPY*^N1VT4&e
zNqRfMg~#0r*x<#W!aj1p99$7w<$(`*2A?#7V>o24AA}=Bmvhg-Lr#nDCE=#M?^aac
z*xs)u$KYB6q4Vmn!pnplRrqxO!aZ47QrYXW7Ce(5A$A1L!(UoC0sCJvv_1eY^#!$^
zgcajo)(OMsX|#Csh&OAq?Sh+(#>&pYe*!)w@xaw1n`XV>hQ*ZtL3l=OFN+6!zc_8P
zI2>Risu>6S2z{L-pU3}K&G8ZJu`I!?2y>SP8a{>hEITc!!U;JK-SgqcD%Rzi@JqjK
zEN|hkQ(2Go;DE2YrOM$^o1BYh;k=57mIj#1V_e+~F86ydR|h*>T-kCFo^YXz?1l%u
zj?dV_G6|GL9dH%J<PK8bz7afeQ}8y&$D(%d+sFLwv+(-@(R-x-o}cfk`3rB({+4$c
zHqP!&TZ0G8uWYq}JxwEKHl4!y#O<9jX%B&i!TDQY9RaNjQ`q3G{0cKXrZV-8JWu{9
zOLeot;r3oUq&<s2jql@vS$6I|dKzY$AE4reTZ=Oi^<ka9SiJ-A@iB#$TJWXJaM6P>
z>smdV4lFo*;y+2)uF^t+wD;UODbpixd#&3d$&X)6UsQ+xi=$>D^&8C|-L46<gx_-^
z`JUIc_|Cu&CfFm6!~3LUH=KpfZ>lLK@o-i1(W`I-w^9uGJROZI^p0@FjWTLdA7{4|
zd?<zAJ^$K5`lG@5f-S|cI#bYL(%+oi&KZ}%l<!3cL*SHt`FBO|&WJ&kFnEn&n4ZMP
zrB}Dd!P80abW7mrKQEjUVD6bqNv~l=6D6ZGSlmmq;uV}6zM(7wuBM)1sDw+r!jto0
zi!Ci8?_f8c(;EumGtJI7KfvnjHlJR@?@bT9e-GPuB-@q2bnil4$n|JL_UgWecVDrL
zegQk1nohojDa5MO3gG8UeQh;xw_l9y6SyTUN3sq+^F*rj8GQHAHt!|)%V1hsGQ6HQ
z+4mQ&Ymu4Bf`2CTWYa#x{?)?_iB$O1<7@{8n4h-cGpVmn8Qgj-@Ua+=nL_yN4u%p|
zc%vAd!b{j9JusF7&XOy!cuvX(-&o;-3mKFP-oV|-Q$O~>U+(?>OzP9)cyGE8to>($
zeFOaGf>EeAd}1IatPZ~P<+Qdm%%Jx|pc|GI)n-$Hs{?=8wZU8zmI_+%c6U$xak&50
zAiqAmHIL491g^WqpKl6NwC{LAr;VRix$xdaSXMph6AgSiaZmkCIK*a=`ywpc@viU|
z?0ol{k_9Xp$bCHomQyh6y9WQM`Cxn(E^ci3=Lk2cN^(ZS9=FS4|AQSOzf&f_?l%R?
zy<p`5<GRPN*a>>WFt}KprXUM`mVDhU1ioE=a(ga(*K)8r3O<^?xbPIdctm|T0{&Kb
z%;*`cEAis+Be;!eLcR=kzO}>P0Zd5~wDBFRAU83U4wpMg|E__%W>gtdVW}g1dG#c}
zge|Wa&dZIu*8+RAI5rl-RKAa2b-{+7DbMTRiKxLg5+94veb4|)swhf*frY=k=x>9?
zfBNV)!Zi;rR&>B2#~-<o_+_2w>?zp(N@Em>S9Tu{o`vbW!VFvCr~34~lsXvCo|j*1
zfT!-4Qc%Mj`Fq+({+=#&?XB=d7uAVc*r=>Vm=T`q&(Qe@YncmqvcZQWKG{~n0Y6)e
z*kQT(JBL2NeR7F&!ti_jC+ZdOq^nY^2z)eS%M+4+Zhtn{5jgkmzM68_a+BsiSvZvS
zcL>QZ^kj|IgoU=ProDor=wG^N!{&|^Hg932K7S^2c&|&Ne<{4m&o^@c=9XN^A@SgI
zr@K92#gG50NPOLXrt~KK@m}hw_ps%_e-laY1*te|(tfvFxIU%8>|wR~<oiZzQtLFp
zVikpsq&-c9a}GAaT2{Qxq<n_+X0HxdW_pCO1YX~ycBB^;jWD))0dISs9XJT9pJ0j0
zhPg_5lt$sLJ-(~t{#yPie|HwvczsAT5iXRvbZQB1JsEQ^8P@w+7e}Fs{n#n$AE9t|
zxxLh8_}qe>QaHSEq&0vMuG=YL8U+7%X=KR)bJMJG-+`5Q1=jdsUa5Dor2l-&dh%5O
z=I7#1B>5vhnf8mq+1>pwd|=}((KLr)>TZ^AB)(GjaY_@W<@vZs;>=~5P1^9b*tpl^
zdN-wZ*_y*%6KWl#zv}kIs9D05^6c^cu+#HP1I}=0Qe}x3{Eu<4!WDk0N!v@}3T@0e
z5pab}#sZ1EF5e4|f@P02XNJMkjj9<9aMQ;V;rHPU>=m_jaMViW6zSg_j9e@&@cr#a
zI!OPf?7lDA1Y77U#HYXq{7*H1gNLq_`jPtoRrq@5EByL)gK9qUC8w})_<e!uLDGKL
zmwNI?;Es(eXUP4yC%iv;<7w>IKJ}6#_p5{RiPCk%ox+%ts$mJASSnh?OU&<<zJZ7H
zrGL`F#>E1=$^DzLCtQ>n*6?6GRSY|8yr0+w+g0TjlFvJMaF-kp%v{R;k^DTW2MgHv
z;U>4ILgaa~dTo=nFdX!ULnR09Wr|f1fxjLs%6bAvluqB1h7+WBzfXrHR{We~;ozY>
zKJq*ppy+w41Z#OR%9H1v&ah3Q3e56KdSeFsn1bzyA$);qM&c1%SuMI?0<Z4ye-sNl
zOoS+1f>ZAtswel8&-RDwws6pc*TNC7NWrw0GpxN>*LNOH<Cn4wf;&Cc6fIz*_(z2i
zu*)u0K3-UAu+KLeKDqO0AU|AXqTcirwh!)2;(%R^qVt}?p{ptzxZzD=6o1R%+SU7q
zncxE}Q7_)ZB{qMfS>WgD|0wI>4@-Lr8DM@^<$+J|e2*XFcKB6wp-4NdS+^cBf$`MZ
ztvl!^{P<#~@EFW=*;?i+93=KyWe{Eqc(n5yyj{uqXFpt@%U4gzx5VCD?Sb`_b+WtQ
zaIS-KU9ehO_qk@+_ow|(73}PPVu8f{`uGFLeBkX|eHMv#vRnTm^NsW${M@~88J%z-
znU6T=WVW`!)7Gk`(XjT_*Ad-ttOk<-SufaA${lZk9cj6)konI0HU+LPu!6<ZmQa{G
z<#kH~yeE5=KLF+&dtKNBv%0oa`oeE#q%CXVi+p4AWPTM&EzC*kN8~KySu(%M5_o1$
zu4nsp*R}tzcXsET?1Xu2j<u5Ylum-^qwlb1k+_W-yu+-xei|;<)2t`!UypQ!UCVI#
zJMmSrURK~+ZTkoJ{WPy2^Yh=syRL52!}k$z&LZV^$;d|0!xlVw_GErpu~|=;0~Y!A
z;Fbz}{JS_EH~gfaMO_0vMX!+|3SYhP?1D19_;7!~VK}yb$88cHH>$VSg8!44d`#jA
zc{wL_;GoKLA4vSQg_^hx?DTm54-$92xo^8Y?9*@~oy<>z=Z`$`f+O=nX%50lVe!1d
zFwfy!TM?Lfi{Q0L_;!u8zaXr?Z~4?c*u;H`j;v3pT?KDFgJX82@Cm_Oj(;z_fM=eL
z{UYU^wrpRkg-eYdQtXE_UjFF$2#>SAwj}xgMcNCt!cPOKA8^1auc!t);S8Dmf4E@R
zO;KV$;HefX0VX&xjB{cLj`Io%VSyb^<;hOMmhz=#)NqK{p+9qQac>*@W?0Yqjq)nY
z-Do9A_B+Imd-ANq1LGAYB<?@4k8YPfetv6>>m;sm_vf$O@PhiCBQ)^UjT8Yw@Mt5$
zX$n~WT)D*|xHItdj!iJ@{?3(S@G?u|!GG9q8Iz3aJ`Q`NG0&3g`CrJpt_Mp;*vm~K
zUZ(wt!354#2~C`ax3QR-TqOBw4pC3w@`iXyU$|q|WiB74&5%5O8?Kk*<bMoXm}=8U
z!1}$sL8)+F?uhY2c=uiBq<DCA!bv(7rp&xSkp!D1G6bf;LqFf|dIZP%-M37K4_>YD
zjD;oci9F4NJvN_yatD61|FC^A+#GV6Ap$lkY<^h=OASZu4TjS!wI9BL`@cp7hrqTc
z$A8wq8U+f?*WoJ@`rb`&+%8#hvj4W_{QSob*z{nsr7he^+kUGTz906m+8%bFxY0TY
zGuKbfpNEewXoio%$@Z)F$bR6|?<|D@SnETRrzLz&T+#A7%<}E)E(=&TIDw@TuG>g2
zW(=?Hr=0DE??iHZHiS)Ho=<OqX%w`7>A+@R-uZoj8D+isG~uA4Yr|D=`Fx?=33yq&
zv8oncwfxk59Io->yYUwG$flT;g}uGK^xwldVLW$_!0lAcn_iK8Q^RaAxY?cWXF2?e
zI&DxGUOS2Zpbcvb^sMfMJ@{Dh59Cn4S=8}-u%3feX9g_c<JzzTo=jSZBKaHTvTd2+
z7zX7NY48DUwc>x+e?3&O`jy19d;@e>;Tc8M2ok@|UTU)d|98;aJ`*mql+BoipH9&=
zN5c!7o!*SVO~>W(W8fH$mnOg9qXE9=cj0e3Q!YQ?T<yH0_hEx>S*CAr?Z>IfP&oOa
z^MOt{c<atj;qdS1%DOMGR+Z6zfw0`SzdssbYd<d&a=)I|*YRn9yRVirko&o4-|a`$
zuv%94s6QOd*e_WLU;Vr@(G#Y*wp+U#KI|*zc@uuIuQT)oY!sFA%>mB8%bZpSf5>`M
zeie2ybvvF9*W6unw1$IDml$Wlce!aa?cmM#*_YB_O=X3(3-B@KbK4VPCoPShOR#r+
zZ9yD7p6wfE3b(gYeYg+13I*Gm!vaasf)C;Jfzzer`n88YD@MXUHW@x3*B`xRo*D%U
zaPkZ|!z+x7Ui$Drdr4*(-2KkE&j9uqzdio|rk_ww;)Hj+R{ekbUAvRN&JFK<!@Iu(
z@qZStckYIlsm3>z!V4~YJ=kFZ>pJ~+a88>@)DAdECsMQ$7Bz{P-3d1`Is8`-Q>i4;
zF~ZN{MNJxEEAeZMB%e}z^iLltzxV3UR+!;xe%lY&_fD58$!Agu<r#rHY1_=`;6yIX
ze`B!JPq_+uxJqA8YaUJ<73(7JQ(9Yw1sCCzn^f^6fAC~VHO(3PeX5ALV)Fil!P_i_
z4yKBc>LhU+(fLq5IApWVJMwwws}2`%!_Rr&bF;uwy$q{@@D<U_BMk7M>E|vXnEUO{
zxNXE8Ir}8wPX<dxv@pYx4W%^ftJ8a(<oB;|B&)%?)6c`GVWF0<UK()1n*^OLu$lPX
zohI-t>#NpOaAmpH{CU`x*7(3?*vOOO?iKi4Ilt0IxU;m}!3m!J8=FS*nUkZ-Jm447
z7s}W0zKQ0h_9JiD?)2+aQr>YglsyynVR0=Z<(<k^mb2kYpROsA`b*uCB3ci-KjbhX
z^|!Ocl%Wy+Ey}xx)KAqJ+MGVPl(J5o)Sp37W#A8ZSB1s{lAjq8)Ak#_!#@7xA3i@T
zNcZU&oZ>Qjh2)=9Th&~J%eumXRuMN_Di&Oa?OnG2Ciz7_Zr`9W!1!R9xxNSsiOcKL
z!5>`<DoK6^)5zp*xa&&&%p{zftC`IWH&|)u&%nhmc>f5(e6wHdM&Yv~pIe1sZ!^PB
z<8ZQJ7Pka!?9%gd2u|6rw<ZO%oH0@P4ewvtuc-i=#~WSmf$!V9QK`UIS3BB!VVXi+
zy;E>wiq1qkY^^hQNEa3w{iNLm^Ui<rHiBt0k6X3CJra(_Ch!1@{QeI3QUv#cJ<Qmh
ztN0n_3V7FY1^yu{beY6WLN&^RVIlWOZxa8YI`SwKUe-z3*bQ6tseOI|8*f${`wok>
zrq5=>M~7Rr2H-uJ9*RY<vXF=52wczHda(fR{%`Z6G58)&M$rp6Q0J-7EWD3)`O7mn
zxBIISsqYO#ao4J0-qJuJ(jMiaBlq9KYkL2RXwZJ<$G95?;5aFZ0McKd_T@14!ILVq
zL!^J-Dt9p-f{i2I1|NnmDH)G<!;6ocM<n4QPEJ`;{?Te}nKG<N?djVK3;y$CSB3A<
z9&H+g=MTTjvVn6p{kYiye|ma*vpwuF8{hB^HWCz?b%L98izdIq8`ziiufu2D?2nT2
z<D3acy<lH$Z}WcGI^;^yO}L~$B7X#avXd$J7X0j=V)HP(y7c>Z5F8h?$T0;+GljQ=
z!?qXJ702O{mnzZZeI~u3P46mP{B8VZEZh=cx4sN_l=y5)gNxsZNbNDi=Zzei%z=vz
z95CJmKcwEHn+Hc^b!BqHmUrEG%HX#v72~_%#0>j@*RVm7gDf8`c&_$LJ#4mi!j}V%
zzgXtk0v8>Vx0Ql5bsa8t!Ty_g!Vbe6;hBtNygZg0`@|8>+x1g$0Pel==Jqvs|2(4(
zi3e9db_#({Q>$2!c-ZM`?J#(HtL*_YzK%<78cl#}1f!3W@%5^kz=vdbE6wXoLvZpd
zYs;r_W8DeMkMP#Mj*fEJ>!K{h2lz&fc*rw2tpC1BF)Wj9#{C)=sCt-H0!OcGx>5}b
zCRDYP@ox)1i(ox0;Z!9}>Z@w}wQDQP@!z!f16Vqsoc=4USTp*KjBjG?R_A`gx~6jr
zWPD2rv5+2yckP-uOWKD)o<49AE)wb7W&&3qw{qBY7Uw@Y-a3)@*(3dIWel+5+sDZ|
za1u?k3o|Ta6u3bTX5$EazXvwCd`{#9d@(`9iw8bED;GuXPcebvy8ZAtKh-<({`}wi
zEq@WXKYf5(4(6edZ<dC?t|n?9gw4d8L*(Jgs~%59;Lfa&P8HZ9=ky0b*i}HML>(@;
zE4*I_zW9%J<7t?etJRPL4y(UYZV2lv=e*>C+gQ~$o5LGf>DS2fI4tFQvNe45!Z$NA
zzR<XdPh5p(_0n9a;oIKBAD!W6Os<_|Jo0#!zS9eS5hgjg0hTc~oWBV-R8Z@Z@gsAF
zMJWhASygF8#*aAZYR(W?B1txk#6`ER)1<<(_2wPq`#vzC<GlkPx}b677<?l6?bZA6
z*9qx9W0;rAaWxn&*H!j93$qHnDe!@fG~F(l!4vZRE#B}eUjL1zu-Ox_Ti4;{jG{41
zIMhr(%Ly);DG#xL-4CW4+rlT;hMle9KfYDoR&e2)>Ft+c^CA`zGr0cr&cEb&A(0`b
zX9B+p;*PO}S)~K0^x^f7mUeD%-&l#pDVTcJhSn7pn4?)c0b89*>hXs|HXKq`fbYAe
zxckD=|M@RS!AE$P{@>qwl5^7q;SCWRY%&lJdZ#-p3ZLqi{?-JGhS64Y!7`e9ilqN$
z`eiYa{OzxdnZCo1^PJA|!d};tI)1{!qB*nT@b{zX??z#d>7X6tdJ1Fz<^F-Ad3<Ay
zVXhOA_t#)MI)m5b{;;}KwXhD4>>2(4{qabaDu5UB@q0eqrMifxb*c{W!&g0RHj(o4
zj=D`kuv*YQK~mn||B>h+_<q?lS5kjJ(^A+Z;gMsGF{J)<ie<maz>U@chaF(bA8H>I
z;YeL+L((3M^%HkgV9{Xp84sA1>fd!O*x<__W;a-tlOaJLUORMqH4@ggSSTj(t(<+`
z_h5sO0=Lt!lF6^@X)yQo;gja@saKL^iExduX5IyOG_8~-6JGSQinf6hql^xae6`}w
zi*|7M^Deh1u>HNUA5L)29@n^R*jCn9nXLEb-RFKig}pOeg}q?cvv=qU;QckfB5uOW
zlQc#z;C<y(?ziCO6Y-wU;2=G(o*;OPg|)66wrPv03Wp^J(??&zJ_F4A?!rzJ97o>6
z$0x<Mk@YK=WcInYFqPE{DYCx(H@HQ)6P8===E{Jpydy7vfzQiC(-*-<=Rf^kgCp23
z^X0-y@3m_wjIjTEW<D?v7P(r%ycxdv`dtDk|D#u7W(zFmpuL_2TaFhUV}VOdcd(|w
zFa924-wDV0rMaiUZT2a)T(F7P{TE7b$_RU)8j1T;u#xtYt4wUwf$0L(RHfloQL%6X
z_?b^pHfeuepJzSi;gG#0Y&+q%+b4t_;NA#kZ#I~V@w(@AIPAY+HZtCLr=<klhL`oE
zyvJaw|3tprg|Cg2yz78##eD5!VMUR3o^E*O!|kt9U@dj`Bdze+oV^dz;l_=XabIAy
zt1o`$!3@S0JWt@Y-dV=C@ZI%<fPA>$Cd9lJerQA)N5&T(&)Y{o!u)|Z%}D;6)aRYu
zaIOfuIvJnLZA<=kz^?4#E#<H@!$z?s_+@8TStVSzZCQT-e)W1UM-BWiGbCjVHl}Q(
z{se3Dcvt_0<x89znqm8GvF2Nh@qD3Sf8Gfnm<;r%g-6?5cJ{z-DooAWVTxy*8~Wk1
z34do9V4+3Ni=_Xv9t>1uh27gfOU=NVXHN!^{6gl#vE+P{2}4WUF1VMe&;Ku6{3Gwr
z4%qbLi6OGS7HSqh!3jVA_2?xX+T-M0UkJ%pjG^Ac08`Um=;VekmKIWx^G?lYMgMZZ
z@;`X3S>c(CBDH<+z0gm(9Pk%MZ#zD?Oz6ZjE?9qIrBn!3x-glr57v~d>=A_Dc-pNC
z!Uz5+2#Uduayv#u;3EYaG!Ma92D=I*;6u|(L&xA_e6^3{U|#y?v`675Rq;|r@C1uY
zZZbSqc$u5@|0nf>pAz6rpK^vS!opJ3*7>k#&5h5bzo+Zih33Nh)i}i+VY{Ku&SKc2
zVQdfS@7*^%{uaUtr7HdIu$855bOo%d&f4Gu-#$BD`Ud{Pbn`Ch?~%H1^_t+Gr@EeG
zf9YJ#8P^6_GIVnv>F-^E<&|wP+q1sf2k?EvQ$x-0#Hn*(v9QZ$R^NU&HbCqK+5c*z
zOiTR+yRVhWk^Z_Z)LMQD9#e?kOZxLx-bwRuc=?+7?E-k0igx}y+{VIe`Wj}M(Vm@z
ze_EFEyodFgXv5cGCe`~}>fnEkeub;>$$q;l^{`(;?<&<fjITOsMlCP{%W1BSu+Bxk
z@;10=Pp$(UEMrQM(F1dA*&Rs(EB(r9?1w)*=WyeOldpu9{)WxxgJL;gTWVQlaz0Cb
zS6kCDcuNxh!DToqN@7M1-s47PNcJ0}+4;K9z=sm&707<%-@%(Jr{NB&$xZa|N7bDV
zEnz?D{wcCQ`pDVgr8(SS{!?!Ue4Mg$lMO7v(Rq{|?#QGOybRmF?Mvo_gRkkjI>Hgu
zts#5i!8-|$?BG)FzHtFKDdOj#Gl|c&bR2>!d4y=L!BgAk5)Q+e!zC%c@X6`XAX%8R
z?@!fDcw%DLDFwKzz{@NGuIpx&Cg&$oXkYr?fyGaW#*zJJvC~V9_u&<#y;lt3YrdD5
zNWMamdJ8$<;Wv?D{t(_*u2gOg&sVnik^Fhz2Y#2}i>B)A>9Em@Faxr`PkAoZA_;yK
z`Q{}#FE!xQlAj5i$h=A==cxh;=02yvjdvzDk@I4w*7tMd!7J}Zr*6S%&(suhVBb6Z
z`oXZFymwd;{D_fVfV`hb<ayHk1YYkn4SfU`f9~Zdfp4quQIq!_>HD^iroth&I7P|%
zhWC--E#+`g<c{5+Vf%)lxtDPJyQ?=_;8R=$itpi@8^pKG!|uEFM~mTtqB!S2@X(p-
z(xiOxF%MNLyw4GcmGpWJ9|}9iuo*5(bJ|f0|CP7q+X$x);`|OQYS<M-@_lBD6<gqz
zh#v`SxSs5nHqI|_1^a0V3dAW-%-Z+DV!dZrml2Pw-LCN+?)+Zuu>zln5qb0rX4zLA
zNq)Y^<(jUe@bT>#h9qC+TFAB)*w-Y{VHRFePoG$WH!5vyCi&lms${86@O)<3I85F@
z*=2m)wHc<{X1sj?UNn)W;DvcEDes$vy_0pm@x%Ik!V~0rbyx4WOTtRh+bPH4JeyR*
zBXCpb>c?p~?or>gIvhOG^?d~XsxsH43BSChqfGMWhqkkyfw$NR7!Scq68wJ+Vda1w
z+@tV~AoB;-u$JSn<WIOG)XCWn))_k=OY)B%#Xls1=fBKXcfzquPrTgWd{tXP@;)qD
zw!Y36KCL~c{|QdD>$w#K7eBjH+5}5(UTKMdRh0M}KfvoW>xEIUEJw6xJsd*Iy%q~=
zi0i6W!JD#qz9zt*{VQ^6;0QWp!3_93r`tPnp60cN5_L8yfA-S|iF^5GOjN+qt{&?o
z9v+(BPzB3XUZ^G4i#RuQ`3oF3NYhKs?~JkiRPKb^x6GxI`?XA+@7pgpMEu^%GT7`5
z*XvQ3Pw?*miH~pkFOAX^`!6k#OC;`o!qbl$?wjAhR|y9NwA*mOU0e}I%HhR3Evme*
zsX%ybHT<AT#Y-6$(_`p;1K-P4GFF9SlbO><d5#LtIYXGyBPRSK+*0VZ;|%;Ib7X+j
z_sJLZgMskr3WKF)I8uqJ@;1DD+v{CBoPJ2bG#1v+{PBg<_mOMLvI+3Vh{x+BKJ(=k
z&vW?s!BrO0|NMX4UN42cf8TQ_{ZGj>Nvi_B%rF{G+QWtR@qsG%sl4wDX;0nZ=WY$~
z-QTU$wear4&kdSjlL#9-(!aO6G^BRG6_<Azkn2Y=HdMF4#}l>Lzrbd?bNCmMcwag(
zpi0V9&(7~2h3%KTa!L7_Lv%K?@V(rMcci|xhpAN;;IRY7e5C%)2D0B@gBL7gkC6J)
z=wo%FIFI$1kyyez*!7$6TUxk))v@R$yxhT`um#>Vl;}?K|BdQOvBMsjt>G`=niw?}
zF8HbrwE=0b=`Ah=BJi<(bDw<p>-lqbl5kP_;y@w1QPQbY9=^WFxs(lGt+t3(g!M#U
zm^^`BuDK1U!#%X!*V5tqgO@8bVXo4vUov6#kKPPt;7dCqMv~!2vDRaTFry6rsZ?0>
zk<Srxcq_*-%XnCr)`ry*=6KOolL${)`(CtzKXZ-rkn^HfJgkm8!bcDNcPth*lJkjh
zg_AfU_3yz36P6C{uw4pY=>yoF(fgGze1lc=Q#d?$@jU*mJ@$vURg2t(c}8#G-(sQv
z(|tM-0<-oRR7SvD-{-ePz?WBUn<m5Ky$jrAJP1m&l1+tUUWVQx`SEhT!MX6Q4}Jw+
zaH!E?<)`p$G&2(!Uv64!-+c*h%i1j92CMh-T`7k@jK+nM^T3X$6w0e$7r(G%GJa)P
zGR4*s%W_b<!ha<X4L8AAhIG5Gz)55Os#@TQTXA0G{j?y@9>yLxb6>z+TUgd@WU?1N
zSkE+X56^9-J~{+j&-|gi3}4yQ%J!SY>4F@rVbk?Vt7&-f#brMW_~^rzC+6Ux6Z3<X
zu-R;T)Czo|D0`~`96N4tYJ(Z}C&eV3&%){NeBw64cV2ysKM5}|t{ZHFV}&oRYr-QY
zTxmPuKH-n@((pu{+EH%!@iwg#8Q9z3E<_N{>1(ei?}OPA8crO78;cDN9fBi&Pen<Q
z^6{-_x#8{SR8Ad*^)Bj^^TJm+?Bh<r7p&h6vcQ$YB?cPsZXOx+o$wZ(-c&t!k79z;
zW|&iHx0w;lFwWGz1=g8UdSU@D?X~^4hWQt>gR7MlOn*+VW+URAn?F*x!DYwtpOW(W
zW+HsoVMiSS7JB#x{n=~Ya93BhD4DMqeE2kC3S0OpJ~#&#eg7qO8TRmGHoOY!WP~S@
zxNK_4D{_8z<x~3TCHU@*qj!B^$Nu$0=5Ss7;G7@KeUQc58g}K(c~0*Cu5_OPGq}6z
z92>d+tJfn%NPK#>Yl`%@9LZ{z3vhLGlzt8zP|{Li3vVB#KTrz$Of686&(jb66#fcU
zy+@(v0B@_>>`?)GI?!Jy`C>Eo70LM0ca3AKCoC!bMTk5PdGh&0Nqy|8Ns1)T+gDo;
z-1LEqqQ85R=WXwMp=44Ydt>x6d*Ky#>7ZyhcPS={jIRbB;@S7$>kiizhG5=bhZo}D
zJt_*Nf8oL@dJ__7li}X8248WY%O-KHw->3&e5TfE;o~Ei|KLeGYM4u4hV?PrbTr(6
zoPW_w>pYSO#|`NEk@GRu231@y;4S`f4twBi&a~stU^{+4339%sYcld{6)YFHYs(?H
zw^@<vEzIA{d{q=aLn+}<3m-DbRyhW%jeaStfS)Gj<|x7!6l+%NV7n{x57c1yYmuBJ
ze?V+y=_I^!{ib~rJR7Dms0+_$D2F$|7aDZc$$3ylN70@(xbkWI;dAh_(3zEHn5wqf
z`~v*O>FK}-yeiA1X#=bF+EM+2A7p(_y8*`=es0-ij{QxEgOTL?8Q*80xgGEZ9`Cc{
zeAz*n6XE+{kFs8+5cnGNQ~@7+JbQB%InNX&@OecDo@=nXcMrbh?#i(r{vna@=K;)A
zqi-h$R}ZZ9$HULU7VaE^yJ`=sCc&AEtzA;^=)Y(&a-M2V=jz|X@By>tXmb8agF!>>
zC~U=j*slOqs2s47fxrB98Y1VrmP^Z@ABUyX+MCJw#F(EtoyXv|gk6&4JYqhh0KXb+
z;Ns0q&Kv%D_Cn<Z9LTVBgq$apXtMZz25y?Z{^b+Ar*)J<4~}+bP9*0=-z`SQS;BFa
zH*b^kq>ATRUYo;ods@ePVCK(*v^Fqr^wF+<Sn|oG1D9ceh3Ut`aJ$xqYFBu{%PedH
z4i5Dia)!%H176L;qZ__8+<^z3|D><LOkt-dZo@pmW}E-P9TB@_qhL*e)_JN&sPD)S
zlL&a=#W7<V_+h<n_CuJazxc#fc<gxj$NO-~)I$blxZYLeVmfTIZ|gD}$=A-kl>$q1
ztiR`k6T(F}i{W?+kNmyx*AEd2g>b2Y+l>S8U&d|S@8IId`3qujM!wD8*YFjsBqMqF
zPVG+5VR*w;7Dp*K^g)%;2%IVMxaA0}AnKDb1AmMZexm@hpK7h0gaZvcbWXxy4$qgj
zSztfq1B09{>{vmuhXEFj{b_R+zI2Ow!#+48?&cXY*n<BuFCTm}!ttpCTz2Np<Qdp6
zizUGY7T!?1O%D#<R!eaMPV#p#JqHV$GIs^Qqx!u`B>zce!_gpEeko|o6h86CNiZDV
z!SS4)<ok9V3Xg<uET1>Fg!iBGyp#wBm*>Zm{A3oYL#eP5&9a0ed|~JbTMjH2$!2H=
z-w09qnGYuonNNAb8CDZbC2&cT=XQ7a+Wg&^SHvQ(b8f@qH4jXhV7j6idS5t|&Ix~8
z5B0qx!kEPMQ|$tV;I|4XuYF*38{OZ(h>K)4lXz=#!n*}{3+-V|e^~oc2>%lNETQgE
zC>-~?b!Afw`q!VL?ptuYPpt(lEL(75UpO4TM1O=8zCzDw6AUwz(IoDIwTAOcBH_FG
zn%DQi?&@xTLf{zYQ{95_;0Y?_d$5q>WVHy)RXlK!<TK^W?-z$1haI0jg13e}+#v(6
zeN=0C0Cy;-c*?<oQY{>bu=G=9D<zonZsxH#c<`rQ!wGnc#GyN>aAx<y3r$#pYW+zv
zd^BV;yEeSz$E~F-*qAn-#sI#v?=)Km+;h0b;VgVyw*7KGtaH@X$PA`fObE(_%YO#G
zv4BIBxY~+gf7b&!*6=;ofw@BXM~voHJNWmKrQ%C?;o0=^HCQH<=fZPXRiD+|1vWeX
zIR6ctwpgy=2`_q|Ybt}sn1&0z;i0RYyQ|<x#jyAQxMEYdTm{_RSw;~AyNlA^u7iss
zE{uo4501Xdu7Rgg9-NMZ8Ir{p8e#eYIr)dM1JCyz4X~z@OKJ?9U2bUE28YnS_sE2!
zkEErM{EIQ`-?Cx$g`Lywu=h+xeIcAPRl1$zo38v8DTYUX9ytFMPU?%?^9n9KQ+u-u
z4!qduTTb$QrR#sdV@>}#RKms9O{0CV+NWL8AK-)Dc>$B~Mdd2qCU~(*K79=CE8B6q
z8FtIdot}etlvlWP!Z+-s8E0TE|Aw@0uw(I!KbtS$e9U(5$RRkpe3g|3_Hy|;{|m0o
zzjSdMyfH`a(*k_z$fb0We}yhpYze-r^>LaJb}2f|u@3h%DlwA${Z{*bQ^sPwTTGkF
z1y}FtZKH#qKJcz*hj%!fl3{=~F88tSh4Zo~_OigXZ?vR&VIj90p{(%ZnkNAV;4--b
zH#p#-`>g2#uzhg)S1!1q&1G5y9{*zWVIRDESI_o?a7#j`@P61mQu4ectmG25OBCL$
z@#v;F%)jv9rv$t{f09)h-qxx0Sq|pgo++gWGe>nu9D`pfulcLP11k~SDkT5QnKTuc
z$1;EHB&@&mPtFjw=(6e5CFMtTP4(f_TWd%4;cwk(*(UJofLDU&;E%^=>WpBuJiQ20
zn8sFV#|2nQVw>khm|pFUq#2y&rln#7$DiKcbOm0aqZhjhbKG^9w1+cf4Od;@PidQi
zy<y$%UB5lyS|#Ny4_Ia4>N6iW+`LmE6jn=?Ob&t<&9+$t!*?==sX}05&9ixtuuga0
zbR^tb5&9_%_UK`I{QwRyV7;6Ohwl2B6%Shqod}GBm8s9WJchS^tmk+F$LZ`h&w_Q=
zXXUfuu6JYAIWViRMCenvKkDVvr?6?)+1z|s;<CE;bGT}vUFj|Cp|s29HEi~G&axbS
zU>p=%1)IcYt9^kps!amx;h5QX)-ABIx%clbxW09p7^NlNM_MUV48zr20#0j)i|^UD
zZv-y#KKEu5;tmIBn5N;`Z{~d);XIRBw^>-kC2Ic`*k!Km;xc?e^WI5X*eIpy;|lzX
zwK94;oc%uI`NlY`|1ZCN&Hx`CkKMBg?zA4?zzWwZpPyrb6TG^Pll*&*M#ekfsbtEC
zUGV3085MT;!R5L99q<WFnJ1j^zW3~ZIpAfwJ&*Rn&sS-7?}7Im;#w1cgCa$&_+aH5
z8%7SntBR~a-0)6TIvp{XcFWOLK{#)CT=ocjS)6lrFZ`QrGmShv<##z$3U*tVoK=P|
zZC1)X3=iJkXsinNMqK<O2PYUdik^YxcWjp;`ARpa){IE`LaioMczSf~w>eB1yJu1v
zPMN3Iv4m-=rDe6?^qF~CTX>mw<GGVCm;3G%dw5?Ud**4_d2M63GdyQJP@@e$r#Luw
z9aftA%Xk(x+{*gh3m%hyEp`UBjX0t5A8fI;?WQSwn*WekApD~#GSL{;mQ(x~2hR;1
z)<}m{w<`AChm}Wt4`jj9m&TM*VXAZOvt4j@%HKmd@aa}RrVdy=WcI>S`0m-{Ka;S#
zK8<!M{GLsPbsVPkFW>zd9%R=qScMtRwozBXUysc-F2kFas;NK2UGY>Jd>64_8U1*7
z9h~sX_P{=v&F$K+Pp};Kl}agighgeg1`gnBO_hPEzV586hlk4BWi{ZR?n7V6^`G51
zvgZ{1{$-47BRm-=r+EbyIDIap78a377IK2C*7IMJ__hBMw}rwwJFJ>XTy&ITIt(76
ztEOy%1@^7BWx)R>I`8}dTbrAgWWzbbXZ~x4V?0iJ_rR-{p4;`pXI_7g?}YWG+Ng%%
zJ56sJmSBS#xtVeJ`H53w3$T{UB>z0@w6y>8)=T*QCjT9ofNiUj3K`+$;_b;(u*TDS
zD{Sxwj)dah@CS}fz3lMt_(8TYxX58yU@y$rQzASFKl8Gs6@+PdRPU3|Pd;dNMidUe
zTbKDA7W~#AaTqqyF=iNm_smuJ%E1!HJGsBY{3^m1j=^ni*1>%+=Nq1URruf7kGKvv
z>uG5CN!T&&+J<g8`;Kq-Y53>eA(mFSfcw|0GcafAb+0e*3$wmW=iwfap$JmnN1~4p
zo5TH$E(@gnwWN-S+rZ!JzSDk$)wjkm*~7Wt9IrOOmzbi=T;N|O?f%tp=bh<eH{dqs
zogAcny#IW>@(30maTX=*6Q+MaCl2;HzcGfi&-7Y9>nGS@`S~r<KA!AeQXk>cpy@zT
zpX$Q<if7?Nr3KEUzF%9vXqkeoJx#l3;16=C97{0$;XSoWr2P0n`2|?zdZX|PY_qsC
zWDO2ILa#{Lv(+@*mf|wj_y4~2ticll;;}riVL9XEANYW9jt4*N!YI%C4~~?(a9$ps
zIcX)i2>a@F$}7TGM&fNrT-7*?#~8kvSnf^YbMhNEn!=3tWi(dd%BiMU2e?2*@B9Kx
z8K&%c6>fRXSWWUHCimC6!4ji;JEvh~;e<?2cyH^V{2cse#(&ly*0?>dOYTqBmf6-o
znEH2d=_EX}+|3yQ|KfUE{|ol=R9n9b+bw#Djlw?EBAT%<Ws(1hpRki)oKOP1?Rqye
zsgK=MKaX|5vGJewk^B3ymL69(>_1{YPwMw#4_oO79AD?uPwMyG<?N1OxSDrp2Sq&A
zpE8<d>u}zy2Ek>-H_g0@+h~RU(9sn|gLtR>@&yUl$gCip<lAg=Qj&&KOl!U}!-gp*
zQ#|1O##@v0a7RY1pErD$<%+>JSTHxa@fN({U%%%Dc$;5TL?|pRQ`b)k_y4o+xd%Ti
z@}4L4t=RITEE>Ld$<kyUK2uyyodiEHt?(t^XP7_nLmJ#nnf8m+ueXl}a~}MOW}cq(
z$5{=XFGa9yTAK^G|EReRa+krMvu_0T!--?}Dc-=d<pvX^K9_l&wQAsUrTKMo|MuVQ
z5UztG8(XbNfA$x8?%oXFYIpGHf=gw08n?l;T^c`n;KxV)q<@9^FZ`HogE>bG0>8of
zU*8y${;a1V*)j}29MX0m{c%^qy`mA=u~Vq61&+0FUYmhGTfQ73&)Y2h#=d!YXO#YK
z(%<EZ?cXz4<9YV5Lzwi}jV`q*+u?b|n7`zDk#x6Yc;GN)76#J4+x+|3_+j~ZiA?gm
zRr|ZvxCj2VRk-0LY+;@rLGooP^)J1EZ!Er7VuOVi)k3mi0aGJNE|@3(25%-j$l_AU
z3M)P7Gme5kc}W|Q_=8_N<|1G!1#SABu(sEm3zuPeQI}JK@NK~xb=EN7tYxeyyrD^X
z!Wf?0^Tb#R{(5Cu-xSt8n~-q~rmQ(<WdMKHdmVTjR_NQ-coz1V$!|FcHyXOJ9))jY
zY|}G<2hQ=|JO<B=P$iv*k1|=-^1}Nv4s+VVYa3_|lKF~lq_CY6OueM7zzN3{ifUYk
zY0T#`xZ#6q`yYCf{C26AY_R29p&LH1LP-xNJFIneZ)Gt2IonWqE1dY2+dmw3Xf5sC
z0^9WSO9jFsXBQ@^U`b_m*4yyZqR8vbFq_+s0{rfeqN%4<(?*!~?v{vnc&`GL<R<vn
zVcMQFI6}k9coFlt`{LuVIdIU%4Haa*H>NW>R0Q9=Biu^ngISVYH6?IDS?!Sp*x*G6
z;~SW|jp_U^*hf3Jr4m+N$f+Xp%Y5}*jt02sR(<;b%(fD_)(A%yFQ<}xW6HbH-{6vC
z%+G(oUmdQy_QQOqRs4rw`3@I`S$MAd?1OLc=RbxM^KkdsnZG38^SPnS8hqixI(-j3
ze?yv$!UpHD4P#t-;nf)F%d~L%)tpC7aKP_r{;hD-S%rVi@YY+i*I41tUdp^=KHYub
zu_!yqH|)4w1CJ`CdGo_9W36#-;fQ5dQvo<v{_=+R@S2lHwg`Mv|2%UUeDl-E+u|_)
zxu^N$dJ0<%Uh2b<&Ot3?K7WgG-pv@MbkNxJ2EPAv#l#uTn?11e1uU-mQO*^%V5qwJ
z5|;352)+s5W=W1Lf^$kATKmGhhnr1Fe)aMA^}Dc-RK}G;SVZLV_xo_DOt)MKoUz;1
zEgjw>lXWT|W_TxdHVYOkJYGWbJKi2nD}-4@w$x_Bo2mZ#7sGt)8NyFsMeEh3GT4vj
zpl%}k^^I>t1-x%V^^0UUFYZ=P9eh8?zb*#eo~KmS0Q2<i5+Um$?QvD=FYxF<t0Gx1
zxhHKL?to36+GIV11(aySzr%*_Tk3Da51nt!48qEOm&ESC1CieH6Y!NVX60Kj-&RqM
zX;``{BZsWlzDG#eF2M!by5(d&_ci~Q`U>oLa?2En8!G)3X0gS1u9ZjO3!5E!LcbHv
zz1h`Bu6IcBMY;g|F5u{E@_Eeylr{YD09zMt1bj1sn(-iP5a}cl3~zo@HZ20{CD6x{
z^`U6++oMO|xu}#pf7r$F8oM0)VaHMCK$z*)bsJ^)!JSY1|G_l#eCn#OjQ7S_k{@+Z
z_=h2!IdO;58@3DWd1nkKS5`NZpEulO;H({-B%(Ip0V~QxN;|@jwhpS3{AHp00j}_q
zl?&%w;q$rj7v16L)C2*t-sMPFS-B1Gy~8X+*2CuAlRbCfgOLy0NO|{~zjXQVtnG#&
zQhu>7eY6mc)0ovF^|N#)ySN|Ty;aNXCM<l@;NBoCC6pyZe*PbF`Ue)^-y_RMz2Mp1
z>zkM0zxYF2B;Swfp8<s(&QlBhDY*g5+{%)qgmZW6`;+`S`;10rSo=)e{p+wv>ZyEI
zcwXSI1^K=&#xzs};0#k)XJ?qVdxrl2yi_*YMe^xyPhS&<?XK<{b%b}YM(aw#UMD(q
zufg{PA0)`bXN#0vEMeL0?Iy}Fe!sK(5*(D!o}~%D7v;u@2-Mdfr(kXPS(fKZk}t#O
z!etJxoJ;>`0;e6`x_$xfNn~%ZhBeO9dEJ4_{nuYzf%E!o<8Q-_&4(vReSVlQ@kxQR
z)Y<z;eV05hNlt>}*K8R{{R+w@29&}=iypkBzUW@4T`YqOOBrUv;TU!bw|V$9GaV(l
z{~F&E7%sw$-X=+R;rFecLA&hHo)Wg<k6^v751BjQ(DaR!N$`o&4?_>ZHB&o^GGNZ6
z-drJA@95v1q`z}M{`luG{BHYJ8uC2&WwB+a7#t-0CY3yY{<4&)>cRhZbw|B}lc*=H
zbl}Y9m$kL<<3A}HHn5a#&+|suUZmabGQ6{{>t#3GPo+E@0Y5DKA4&He&*k_20o<k#
zku9T;(I90cyRtq)NkU6#P)4Yb5t-3KLbgOAq>NBV$=)k_hB6|f<o7z?-=ELNb=`OO
z`;6<{=Xgg(bu&zPkfZ7$T;1?Wx(&|!_j_|Rd``|?oz&+m?NxKJ@b$XeFGziE{`*2X
z6&A`nQdkX3y0~tA0S|orFM#A%v>(VXfFEXTiuw%m)6qv1!zY9U>qxvf{^iY9c-*<8
zm&9+x-Z1Te0}RGr*20{p6=%oczt5uHlX_pzO4B$A?<{yXN8;>-DS4>XYNi)NY+~W^
zh|wl4ScXHmj<l~0ZS7Ve__2LKFKPdl3tns6VDYFohoWIcc^e%mIE-V#pUi(hdyX%1
zu&C(74>G^MeP3r+h0nbIYj_f#c1kregq>@-CXHcZr#H0Pu<%d%or<uLa+mLM*n(xx
zCpoxGdRSf$F4q(q6Nf8O`+k$_{cMkViNTA7qZ#CSgW`h;-0)S&rprg+sPB%7obZLS
zZCj7P|1yeu$$9AH#_$eHn6gjkWgC1aGr|5ke3a#5^f#D(|Ir5yu+Bl*OM~!g{|Rv)
z_`OH_$qBgk)0(y?Y{3>$Iti=YS`YV!UB4-0&A~OzN%_98`L91)7U0t*NtE|seys$W
zKk)rv^=(1$;r@%ZYp{Bz>a~ZkY+SZ3Bc6BSokMmA%&F{|!wlQ6+WvVAAABL4xCI_m
z_{T@`FMnB}=YsF%E?s;I&*yfxOTh&;k<|}iU;4-tX;}Te_xVKFj$JWa9)8qMc_$8D
zImrKqw72-gLfvzC*!Fz47EF;axryXU$Lgu;!kX3HX6dka*$-(WxbC!pJIS{asQY&U
z?y;3(e+MfVI{mbOpPi1DeFOjdbu8EhKK$|Ug*Mn-mBNkGFYDn<-)1;Lh&G$lw~h|W
zi&JptA;U5fUta!q<R^UI<9a!%k8@1!<y=?seccVOn@N4#EzXm~3;$WJO1J^<&l*&e
zf;n#7e?Z3H78`XlaX9>1!V(#OU;MW}mxftfFOQS@vOU+cY8Nav<9Rd~ZrpH|O%67A
z)wY$a_fmeQ*GYUncfl_a?i$@!wjYjO^|T`OL+SnJ^*yi=eQFJPUolrn)Kh>@y}eva
z>IsGAh%L$AE23`v7B>6MC`9fz_s)HL4g7GR!dnDB-~BR})RXrNPiuF=Sy7kVTH!;+
z_0tk?!NF&P?eKqji3)q+1Ab;ry~Iw<rsUrrPJgU00Lw9?q{zeJZbstc@T&ujmHXg6
z;rsW=`>8#B0;@7?*0sTY3D)bKG9>v~0Y}?c;4@zfVpZWu)2e)Wye|vKEPPXhf0mu~
zV}kck2RiG*V+C8C+2I?Zap799!nA!42fQL+GhhH;y`7pN3GaCOP>sab3-vU`VUtUB
z3o5WwUH&#X__s;VK5~D{Kc>a9@H1cT@1%d8vAvB}hdn;?N|65a+iN1L3ddYK)w>Ng
zRaxJ51eSC)Srdd0x5X7}!n=JUa>)3Y^Yjlkg@16lZ)Sll?+9%-f&b>c|3nA>_|4sP
z6Mp#J(0Uo;E7an}WmmXc^9j!^yq57}^cDO)OqII}&b{WOPtFG`yk;*9!X1K^ljOW;
zW4Fn+M%Xn+LYVA#gGY>Lzrz<J(pbrUxLf(3$QbMs8K_0hV{R1B(67TP%uMpX;h$y^
zJO0AQbIj?;`AeN?Pbm|g@8kZVMY4ZqJmKEA0nWl7_ojij%kWFG!LPzO^%>#Lgm*gR
z^O-An@Uy~)*cS&#dqh0iG9?0waAm5J_TbWbSR?^U$PKjbfGfE&ZXPDSJZsDk&u0v<
zYQjs*<{P%ae?G<CbAyN3`e@eheD8Kuh}?v`iVO=E-~;Y^ws^sN5^_7|V3#On4<GpY
zpo+*U%o_f5tPH;GxKU*Q)-`)@v>fi<doO4LwmYh`s}as!q53ieJ9_GWs)HA-eLcG2
z373`R9{9fR&!Sd%DQZ=z3l6>FU|$QT#7M6!z|TE|r$4~`A&Tdh;PVG!<f~zwj5<}?
zSn~6rZ!Q(^a6)eyJ>2p7_{SRfuk#xhez>?lN`S-*e%JL1z_y<luaNlE)-83Sa9=ZT
z&=>fufHUnbxQ^M*mh}Ioj<N+=c<r2Xa33t%wCR%qe8=BFcm}>3dHRhitR;6$Z5p<^
zx%Gq&iI@Mm%8d4<F?K#=2s0%9zPAw$seYMx3~t_arjzt<#ADNtb1<ES7AMJ%V|nt+
z5@uq^JkJ4B{+k}U3>Tb?_9pq2fA;9v!JUe0HKZP1zqpIX2j<@PTAai~R=AG^!bV@d
zZY1-Go!(LXJ{&RnT!PfcLB^`|hcH(Hl?$1F)`~8H@o<4&R<0!c;ZW0TB5W*5|8Fn+
zB;a;KHf&v+q(thO`_lpWT$t_CvOlSJOo!xl6v8`<KBSWT3qAv1%He-qOfARZc6F74
zYS<;bcFqvaJo;Lw7M2>|S3U)oMQ&nkfmfJ2%}wANqIYk$!CCjk($2tQi^CVc!A;V=
zpUmM8v}YUpVDAZu%~r7BJHG5`_)|>qQIdbA{u$Q{e9@`(sSQl``VZZ2IM~m#-~#N|
zzp--_PMc&laE2`x(k6bvQFJ!aH{d<g(ncg-yz-U17t9~|<vh8chY$7XJFvx8!>@BN
zd$Qh(V0bS}QQ<P2U%yZl0NZjO+4cuk5>sM(0RLp>q1^Bc=OsVA4M_gb*38R{aGh0U
z^dtDk4i9Y}_@MY|$32+O^U-lpc=HxH!?*D7egP{1_|dr}nL>E);A=W@cy%c9Og9|6
zSB6U%mgJ;S>xFqX>@*^Ad+T??zv1`wN#{vi`H~3r3M?7BvR4egof!Re!!>+g&Fr$K
zApFIG&YcNPnZ|FLfej1uEkxm?f?c5`u5?IPMI7G9_~SE)Pes=Ws>3uF!`|(J6ThBO
zQ6c&Jj|fS_S!EGHN8k_K6D;zukL9)(ny~rhl$(mMP3XyAdaz3CkxOdu$>jdcI`Gak
z`X&u{6Ak-mBiQR{#s?jkFErBqC|vo|UgAGEar>7l6WIF_JI`^rT2O2BI4q#n>vIAY
zn0A%6fK}Cf94+88=5t3+!Mc;Nw=cn77aObYz=ej>q32;CJM$NJ;ZIfuGPdyUB-*y;
z@W0I)g`MCEHP>IsF!L?m<a=;+63y;)czgfPM~`9NTI>J*!jU6=b<yw(j}N;z?D0N6
zL)Ay(+)pi8xM6zPwd^REsq|T@ID9~k_rpV2`msuY6dcmPB@qsrOItL{!W4$milOk#
z^VK{#_}}?mN%!HSFSyrL;N-K%%YERhmipy~U^Q!fDL+`h-;P-y?mlm$=L-AIMl>FS
zH<+J(a}(~Kc*|!FKe?n6?hkKE4>3IfXI|D?3xuc3(vwfaw!zZ9k+6*0wSkkcc=W;S
z7&t^G#q|<Qs~{Vn1RvkC9&QaQ*1ht~gDL%=CB?&ULsG*sVPh#>za*H>x$RsI+^%<>
zHxI5V8!{|_2X0g<yoS5?Qxp}!DkJT_1#l<Bri_m;i|_WNe0Z8tn!OUH6W#Zt1QxSU
zp{{}B<vbXRVdYLMyE<5IQ;10goK<+;q7@E*RPX!&ZqBdS-352AjBjj$A0_t+43O))
zL?!CsSBV;PBk<JW17&@1Va&<FDVW2@skaAiiM_A;6IOrhhCf+}&o7XAU=bEq&pI*)
z+lUA;ufhRai@wdl9XSeX6mj_Zyx7F*PuQvGLjx_$%rNs{9TqVDR>lNBv*XJC3p1Z}
ze6$%ZKgM&I*#YA*Gt)^Bj<hiMp@%~h*L#HF{aa4evcM}fhM973z(kxFiND)oJE08E
zZ3w0pf-{flE|a*K*RAi{VCFy9_Nl-^G3UQ3!G13f9g>Gv1`IP*;IzE!-Xt!yv_JGD
z9MG=%fW#e{MeWVt(_c1SI0&cKY^Jq^ONLsU_QPY*>tk2pw=GKFNPZK|Zy8s(;lN%#
zeps63exVP{$??cf0B+$9q6vmobp9r@!im(HU+%+FT&I}XVa{+B_9$3h`|VEBUcGJ8
z?a$y38(1UhVUeNl!q4Fp`E&UzXzwPsd!sMmqUpB+f8p;`A<}PPTdq}Q(q9hq!V85k
z<p=$=S=i*auxdGcbKJLT2u?isis}n|$G3IQD17>TmVP7rYReVXK6vD?!=4uSwnWhj
zGF~Vpo!ok05qZ4=GM=W4Wi0w&2gB*$|K;!9KmQXJKj9kPfp|RUua-GD`P66XZrGD`
zQD7CW>Hd$s1rCpRO|b@3n?CbsgTMXC)uVO9`~3-ld-bpZuiY*NI6&{(Vk1n^d+jDG
z?D=Vu<||y6B5KACOYS>xtri}y5l`iVv$u(dmcs1fVV8vACw|Vqv03{-U-KwW0v1>q
zr6u$2;#u{Go$#9$8T<EemCccXeemPTIM008F?Rl=JgjzE-iYMWfBbt=8~$PV>>Qcz
zPT6USdN38=WHrf8ug&y34ljG^b!EX9EKb;%!2Di;o@BnSOJ96+1O6>2^DG0tlm7O^
zZTPIAH{C0EQ&@4rU0AQwW*@1Sooum(!(eWU*UzHiqTu8Qk+9S9f%l{y@2O}#9t-ad
z@)0HVapi4qTnc<ucwLj!$D4<#Ei>Q&u|Q5z?>Zd0mWyE1$x=}-I6*G0s|42S)m`?5
zX{w6s>*3v^Jl}(1^Jej|8u$u-ZZWz4UmJOmZ?L<gZzida()IBgU9glx8^=@l$wEr#
zAe{bR8eIa+ThEZ$2UF@ZXQsp3nAkekVH%C`*w=8t=4-$I!uK_`=}3F>247XDb;9@G
z%C;>P!k;KVouz`Et7oc7f39bgEwaHg$Lfkc!FIPdZ()TUtgY$Dc>H>;!}b__O5ns&
zKis-$Yp?-)I<{SQ9JaW%eB~0%Hc=x&=7+C^e2_IvJ^t(K63lRQ`HerUtv6Tv4^DI6
z)8Y#=)ZG!K#QZCm;1{?DhZcBqGQhVl8ypORBTG5GH^M87N&yeylQJBRq@E4_yObIR
zXBKC7llfiVerz@pPR-A%;f3pzJT`^HDYLyjV(=fYHNO(L?o{(6seiK%x@_=EDAktD
zg-b<XFNu`Djj+u>nQST8;QJ@udiWiK>hxYXQ~T<lF?dq>M6V)zR4<Tc1b(4Y{+iS`
z$pEeF1-Ln+C-E@6Z^WW*4jz7X!bKO(5aGH&bshVMX-69)nD?8Q&pP7$xArw2hXp$+
zYv~bZH#GWa21imdPtw4tj)UQ6Vfma=FAliGn9|<{rrBTlj16}DUO#gQj-H5~;Dw(a
zpBb=+FZIRHal?IfA9bBzjn587La^u|0f7McYmE6zE;!=HN<a|o9lZ0mAbj8w*R2O|
z&W){Gw!*5BOGA&~jF{;&qHy06j@GAe_iCrdHduE<;%F+&R@6GL2h*olw`am9cNVbf
zz!^P7YT2;!Pj7Q0_&C*w%v<<X^VwTR;nc#em;!jATCCCpmcK|HS_TUVQ4Sr4Mf+CH
zRl>`kf^S&C#m9{_n_=_U(s^fK@u$YGT46!0`86B3*Rs+3JIphof0D%SEA&oI!Onh+
zNhF>|P5W&gF3Ybiy8v^Z;XJYk%LW8)w1XG3RpkG|mn091UxwXu{avWzaege~$Z!Wv
z+Wp36Bdob`hnN=}^`N<t3C`~CbqIjZUfh+(3rlk=XZpb7D;spUVJoM=^S9u?12P8$
zVTMInFIRY9>&X;hn8J6w+7n(=_l^*UgKmV4yAu~?tV_Zn2h{fZ!EMQ_g9<SJL!YZ8
z-$HEXe@d{SqjZ5kY?X9eSpzn0`P$|S7o`WK9fHFqZV26jEi-eX^x#|XnN@<|K!s_l
zqws6G!oY{{yq?miIlRW#SrGy!4|y1zflYk9H-*DyzmnCg;lj!dJ4ycFrpb(p@P_lR
zU7x}XX@y1);jho5b_Bwohgsi0hM!U>I6Z*VY4^N}hCSP#-w%bE11Egq;S#k$kvN#{
z?S|{m;V=hXjTrcYpIq)M_)s9vwl}czq0`B4VD?pa)g1VqWWc)*aH+A~n{L=3py0)4
z_(|udrViM%c@O(n__5$A{sA~H|2$0-EXR?h*bCR*?Y-6lGdxuF8-@Szr{AuH&*V+n
zOu&?{6OWPnlOH$zU50mw^k{a%?Dpq)e#6%D7Fpe}PSebVe{k(E&7B!|rM9+s5x%DJ
zV0sRw-e*cj;(}U#>epc<`c5@+Klj(6ic|^MpM{(Yp>W1|USYZ92KYaz=of2<*QK3`
zV1!49g?`Z@J|lPEpA8;ZJi$s0J7h@CZGq*7yUiHkFJ<S3_~2hQj5is`{R$}b1z?7t
zuyR&7>Rz0XEL=#(z)Ru}IkZFe!>+pmtVrDKi>$gSxqgA}HznLPJ@wKI7N7M}+X(0X
zyyRsMTYZUtLgLQJl9P_`)-PLzHo)<%YY$>z7RTB9<nv|x+bQ-G9-zE)coueIa$b1_
z+g>;nI}SffeHQi-RtxGh>W5YTlsFW^jwT5qUGSEm5!!dK<jQ{aCir^W(s(7zB{1(+
z15=vv-7bgUDhEkdz{g624Ljht&rAVDuzI%YXe+GY@%&&ed_rtn`YfE~+?xFywxLo`
z`3ZZpJ6e<Rr*LJKa$_RiZ|m(kAHlKG|03y$dzr(6VTbvbm-*rS3=$(`en*SH`Nsnv
z$*g@!=69vuwSgV5DTQdub(s0abr(_ixbW9NTX>pU&t@m=z1J!A68tRP;Ex2XQov<?
z4vx#&HZ2W5v@N-D8ZK-S^VtovnOxX)0`50nbleX=cuA*w48AzCOeYJsu4b;2di(B2
z`H~{+KCjQO1;3`Mx+f2NJzr>2fn_{GZmYn?YL9;^!Lf{CYzJY^QwLIH;bRmA)S56~
zMEeJ6SazdPlo}k*=IJU9Z*yY~(t=xNxgL}C;P$^w0*7I?mNIR!UZj7o+VmgndHkd`
zS&zIXJ}2wI9?|Q(WWAa>>K<+g^Oc0lv%qrdo~3%Q(D~7%e^?J&o=IjOBUZUp_6Iif
zlkU=oOAb{_PQj8LZPmuGz&CTP30U@W>%Nol1>U@evv8ogo9G$1V7q$O4_MXo_Jeb<
zO=RTqB3$Bh#nJ`#d@g>J#J|;^U2=l;J=&>9;o|3O<G0|AStde5@bjjP$35W9AJVQ&
z!c)@en!fPI3)=(6VV{Abth=y8hEvlFeB=H@?`YU6s7{Q;E9)|+V&SS5ZbuTgRnY#H
z3_r2=3!R1qTqGS6;S0(KG|BtKd3BRx*>H{K29G{CW7DmY95~{zQ5AXr;2%qjD}#3&
zVqG7AIX=$bYlIJ5jMDL;J@s<+VyofX>h~u}e>hS3(AUCB_Z#<#!RnFX%gykohoVN?
z;hqV;)Nk-lD?ztI@Z5u%h+#PLfnB6JEHTMKIR;zrd@(@AmtsO?1!WTYr$66_jHlJT
zuBPiGp5jR_2XEeeUUCcK&wF=R?1I(szYRIzI}PT~_rt!Xr~J3VGqU%}_rfY?tOupx
zypJ2UxWIOAc$($m${)L=o#4#=!d-f>Y=?^vssC%Iy#<cJF<(QUk@{b_MsxlYTs^kp
z{uSnDY%)3r%kVKqeTMsZPnB50!l^rl8sN(Tbe8vE>%>FBrLgDl0mX;#pvz4G5|{F#
zkc@&mcU(JA3%87_Q$B;0)?(|w!6qRa=aXSKhR{h;pUSUgC%l4l#(LTQz<cw*Wj}}a
zD9`_1gINXS0$#!&(zru5p+2fydUxsrJeK{nkJNMS%xj;@VVAHjaT34yMo@qy8RJ7T
z)$Av(m&jfS+6*gcr=^hfhOKq#zg_T-o~!Ir@S9IegOczAL5J!g`1F4_$`xSI4s7Y*
z=zS3;a`0SK<=a+Rg}0~YD*UzO?&A{J@Y|TZEiC{1p-w*hc6?-880_jK*h1=~9oyL3
z5O{@AI*8OqcmHgrPMGsw`dd#}<zHk%8+>H`lO1`V*`<5eXBd|BvrTq@WeP8I48o0z
zfu~5lTkHt^Or3)FujZM-Q*grTi{_MY4kKHX5q$Y;tsVosKgckTydP2vKJTZ6|A<|`
zd<3q`qibY>y|l9ZG~qLT{TDXEBD&27NIlybu4KF!e#y*aq5!`cV4v7T;x2obNIeU+
zwe949U-#JTAmfv1jh}+#2Yh(-m>+iYygJJT7Yz+(@xbfheX8Vox5TRf%b0I_X|_v~
z>jPh>B$0Y@vx>5k4Ys&ZWlHKvX|z|05KLvW^FEpXamMBf0<cPk!Qp<mpfFrq6z&P~
zJogRGwAeYa6^^?+ey0LHu+O4Z1oqy_8AtXff5#47+6I?bC>R&OUleUjCEx;HYx{gS
z>e8WUF}PARQ1li2T+a5}F1ST7S1kj!QP>zo;#0?YFOdBc->n^iB(ApYkSEzc^?sSk
z7Kg8E2TtCGV=1T-_P{rrU(>q7r70t_B;Rqix!4KrKKXn5KKQ}bm3DhLDeAo*$ycyf
z);tUMX?#|agIP>1&sf0z{TU6ia7l>Y7GwCj!Mk{E_(a2?wH{n~HbV9Y{3D8vUlUeL
z2xB*fsWSH;Q--}?Tuw8B=jY8C_QN!l=bo6t3s&~q_rk8)N>V0pGHYa)1kB?qz-R@>
ze|p0r0!Pd*#+`>#e}4PK2fwEo3cCa+%1jJ!!***0+ic)VWvoxgewQaCf$b_Blgg9J
z3{z3uczy-uj?%b9_RoqN%px7(0AU?pvVT6ix<}F;{&>?#aTWV*5wA_WuCP_AtML*X
zG(G(4I(+7Q!p0eRaJuA~8>}XiBsvY>`EdD@3tU>d_^=1wo%Ss}7@nZ~G1Ls3=`d4<
z!pHSK>?Com%5SreVaGH1TAeUkT)N*wIBD1LS_7OA?(7@|GmW%y*THh?EU_g2?-QB3
z@8OGkT0){>t&Q6g3Sn8QL_v~IHDhR!1GCtjV~K}jXw)3D$o0j$l4D`Uqt|vkhpQ4M
z9wozbbmkh#Fpq*?Q5<ZX{VwYf?EX^gRuQ~dZpa$|k6zrwTma|V-f8rN)dYouXW&(H
zuC$BrhLX0eKj1tLqtj<$zc4%I1$f{f$4v{k>xEF_9IRt*u-h2s(A4x^hqc@rE*yo=
zNQX~TrsC%<QjcGe^PoZs(Qgd!u3!IsA?HPVoZPe-;j#8jY~+6WJTW_XVA(boEs}pY
zL9Lh*uG;o?O&`A3efHK~c!K)uB@OtQW##BT_|0+NTwVALO<ko1{I})g_#rqWTtVhA
z?5e^lL$1GiP=)n4TwS1SqXpBY)+HOl*<Jzss&KGo)txhNt4X?%B7A&EY33aK;LPb5
zb@+t8O#L;uevf^l61->N?Rh)+)~OPIS-5uBPNVBEpOi+TG#q;}y~G9nFfl)=09%U-
zzVd)0c3!8IgQwl%)!g9JfQsT>Fz@2WAF*)DElxE-*zQL5mMD06<A=;maJow4P$o>r
zOZAtW7xuVlxMsjv0;h7xd19mJ%(gn1QE{)_4BS^^^7bpNPa8Hp20x-sNo|4~P7l+K
zz$s#kiVg7lFx3)rzR9K5Pd5Tz64}i}&OeWIsYMUMx2Eoue}%{BeS#)n`^5HdpJB;)
z;op;R+(%b2a(?>4II(pZ=6<$jM)EC==&1jJUw1^OG{drPfznjZvHq@gls3SVGy9&=
zz*ASQGjzfQ7P;<h@HNrFgCt*kfP#e;R{gH^s~T3=d-16nELvunkq=)#B1xwSx9czb
zDuEeIU$vZsFP)RqAn}>sx75tw;Ms~05}%(|nD&5a9mkoo;lPr!UT*NZ#o0=7zI^HO
z?Q1@8qx9*%Wa4+plwR-+pSJKA*tq}w>|I!Kr7??~SAWPD^7VxSvvjN<z>M=7EFZ!w
zjtWo7c{ks#@AZ#iuHcfPNASY2za`PILUPt$a{fKHc|h_REH@)_gxv3F(J!79INnX*
zTm-DV*5m&iezFpu{tQlbXEQE_w}k62g_G;GX+D;~hqu(Ik@#Tz_V^lj@};-)6WG+5
zpQ#=eJ@Tg{9_~t%`qK(GR5x_Q!dk21mpb5uNNwR%Snt%4Bcm|Ircq;(KUAQbHx6%G
zG>c1v>G-T4F2b}I$D0!2N*{-ROECW>GrkP?mG+Y&_B7O+YlrW|!CmjOc5uSJC-Z7Z
z`#zq@=iCZ&TUd>f_I*Fz<SPjC-E7>Q2{#({pWg+~&x%@-d_F^}hCOhL*!`DT@D+cC
zQaP9_M)ngq|1a1eEu{#5q>kA{&i@t5<#^TL!;=TZbKv{cmH`@Y!QBMM|NT5b#opQw
zzFgjtl83n4e@V^9;ItcZKa1fr3@<*Og4^n<=}G=bbpLJ(xH(_a=p#JYIlA=%tms*I
zr4-(!IMi$hU(J?z&<}t7*)(ho|I<x#9fI?YjYQeQIWgR^)R?a&tDn;^!LDNW@6f^T
zEoaX-!R3)FX**!Hwa@mp#H@~ClCbAxI#Cz6FrhV%oVPD8HtoL#uWrzfCiV5-=L51{
z@XOA$m_YdT`+3cqu(^lGoe-GX!Z61T?isvU^BC5yr7ph?=Slp^A?N8H-_PxFh1Y&*
z{fUE*wy~&@=l$1THkb(8IM}^%gxOg*q{w-CNe5@?6?lJq@a9)=?yQs4RT7sSFw2L-
zTDT9|z^5)AS1*8n?0-B*?ia+GW<$=)RW|OTx(sjK$EW`d{;4$gja+|%vZ9}?w+0M;
zKgjhwL;I`9dK?`;W=8UDT7p=X;j`n;wwCZ=)73??p8u!0L723^!3`}weysQVJwjwi
z`}<B6Pzu7$85T_Bc|Tk~9li&S>FMAn{U@AS=SJR7tQj(wF2aw)9GS`c&APM@!+Ci7
z?SWs1;Z^gcA#%UE&%XX9@F@?gUuWRp>vMLe;DA(>dUC&8g5m3z;in}jePq0x38Waa
zgOd%}{yPhEe>d9W0*?(}w=jh_{x0UY2_HF}?qvm+f7bU)gl`}Id;c^n+go@g1+JGn
znMXeVw@0d7b+F49)?^2`V!dwuD=bo6p6COMn0)<3&Z89`Ed8&)^`B~X)5AtRY@uX)
zG~_ngal<}N|KFdNR7w;D;5oKsUT4H5XJ~xM{_};Y;Q#vbiolJ_67aZd#{b5z;J&h4
z8Q4|6?gbgYHuQU*?t|AHMtn*Cd1#kO9fn_uQ-qWL``NjRO&cEA<SIr!pV7+57gd<m
z=Fm7Ryz|>~xFwu$?6one7k=N5_FaMdqjQ{T;ptcP8DxJV<-<Ef4_hdTE!>2U$8*e6
zzzsB(-R>k#?Rl0OmR~H~PR?J0WG{P>`t<aS#4I^KWq4RWP3jYO-5te8@Je1L(<Geu
zc#Jj*=3r!Tn}+v$s~aT10g=l=r2f79&whV0EUaE?Me<)LiGIn0|EoxF9)_7e8D+hN
zb8IggOu(fa^y*|k8!&R{>>#|wV($*J-z}0G*)j#&%trl3_JcKbY_#)m$l=TXJHK3&
zxZ|_{OR#*%o<%%NGsp4|+}RdV{R2M35Ti^!?|I(+7XRQY;&r=7dpIcmaUuIz)`wa#
z8(@<+`eo$2@sX@s2x;H3Lo8k7ys}t$Wtk23nLoRYod4w<+4-FZezd@UkPbdulx@Nf
zceL8xCHvd*^TS8B!?xNY@#MU6#mx4ND164;ae^JL@{3Q|313qarP>S!Q14_T^_kh<
zL5~N1n|+Ro)aR&gg4Uey&qBZ61Mn~I+$AyihTZ!*b@=mV^UWeK+ua{8j=)Tm-;?*j
zKa|Cv>ce6Tp(Qf#bHge+Qm+kfH_;t{TS6$8OyK@S2O)WQr$~wwsn?0m@-C~w8H4@C
z=isD(qrL~>p{$89QZM<qst;U)-MgOsCiDG4<vw9YIM(_9=R>l~jw6rYO=cgTk@_io
z;oaH$aOuh0<$mx+yQaDVIHKWOZU|gqZ91M0mxrVXg~5DLq0*&r?|lvF0Ql8AdajRf
zL-mHZAXwNy`CK)Le{S@A0#jVld|UySGR99og`ab~eyf4~HeRSpgY6{jSgK%)q{R6=
z_yMc&?HO1?mU*}cR=rXgISu!IE!bHOvo~rw(Yj#%ygGca7`|HGZpr|UZ<NX?fm0?a
zl33x<i+P1_;W_Vzf$VUVM%0c%*kIH9CO)|DG8^{?l7B{WiW~m=_0L^$e^-Iy`-EXS
zXIIy1m}%g>z5q;VZZ%Q^Yc~%^iosdC#(!19tdj1xCE&X^15|tA?y(V54|q^;=4d;-
z@w2b07u-uTA4TGseWSclaNJhI7bG4Z;YS$*Co!M&>w*1VR6c$QkMU(aZiQR<E#0zU
zdioE&BtEH(U+D$k@n`-);_HE@4}OK;xCvBu!B3W=>$~BHGgh6=Fg1mIelPrK_~x4q
zIJ@z>)=zj|zo4QKc8=V%dk&V;Xozovm8x|=P`cv$Jdr-T9yb4P<T(wT5zW4}2_AN!
znq`7huWRl63XeZ|+Rg$;TsX(j03TgyyCejc$b@ozfirq+4YtFH;?Z|Weh_DHloWi(
zp**|-u87;}wHy93QcqO{kE$H}A_s4IKEJsPrn0TeQiNlp{&{_bFF8yvsl#^|mEy>F
zsfnihqy;-JX)=-i9v0ZK$q<%Lx8Tc$#kRg)I0jF#SqJ670d!5u<}mNYkhEl2psjo3
zd3gKR2OQ7g{mN^{FT;LzaU${XU1rY%cCe0q@}op}tUJNi8Gdvp@AYFiL_gZl4X#lr
zycY$B%M1+#!!lZhF%My*ALiAe@cy-rHzMH-*<|xL*oLCm|2~|U$)}MB@9i#IAo&~2
zRYTI@bdxvKWd41=k?)uZx6zmNlYF+Rztkl#<*m%0fiTS{$H_8yV7TG=Be*I4@1{XG
zL@g(uTt9f(X>l0VjeWnJ%-?r6!d0eWey68<$@~o%r5Bxn&yF@uK7d_rh3c^0!20_<
zafQt1iyio45=`^CQ<FTO+st{!opAqB{IOt|N2GmjH|$zey_-Cr@6Z-MRXC$RNSQp}
z$<}}?8gQj*{7aJGp^}!T3;*ghEAoY{Te+h3;n&6X;{NcF6#3y3a7VM4JXz0!dsC}T
zVcFeEsbu}HW~*X54;z&J$RqE26*Dp`7vLjLD7W2)&j%mVu!E`7%vJ5-S&nTiPH@Z3
z|F3^`dk&ep!I`rbUF7{Gx66vr7vA~mxUCsne_gel#NVbq4g3!_vz`v~hIy_%;njt2
za919_3BQ|Cl+c9Pw6^SYhXdjipB#p*Un#qg`>DD!S4hM6%K63b!F`GJGP3ZFkJ^sm
zu)2%%QL^5|oUK=mhMmH9yx#%S_x|xug8vz7cJaVJ+g*;ofZy85YmxP9Z%az-Yxq@V
z*$ED~vY_`)9{lN4UIiC?iI=&y7!H+`Z)Sx<lQnZoVOnKLHFo&vmFs`1;AsE!qfD^Q
zleEEV*p4&y{U*4$qC>J7{$eDUMeZMaJLymZ+*3?%BM7U1Jb8H*PG@+0QVh0_=k@&o
z&%Fx&Bo2Swa=3O8K6P8@-5xmV0`=HD{3BgVbT90{xO2}R_^zHZgBpBsOROcy4=p=2
zatNjy8e5>fiS>|kyiE_zz4K%fH7wn=s(BQi{aAF85pKv0+<yX=Z?SP?fOGyPB%g%G
z4h0sm!hX5M{?_ov=9V8D;Vg!pg^RHH>3KPJ_(AD>hYOrIu<Hslye`CZgsg`GemZ#^
zaC`eM2{IlV{yLAbz(I%2pOEn^UKqNE8%_`&4J6}TLTalH$=7Aovkr&7jdgoO;j~{J
zCNXf}*4Bk>a2r(>ODa4RCCqaO?qb{{5C^l%#jYQL%T;e3&VYXu&)Ye`!LM45llrvf
zg8lL9@Vy{S_iXrfbK!?rIOffw9jSNcUdnerh5K5xdJ5o3Q_by3@S4=i(kc>n*=s`b
zFZrL1A?p`|zUD+G{BFF`ldKmhQbK%b@X)p$KgjyB$wbsD8@_Jb)i(rpx`o~*`MO+c
z`lGO4$AhXjaIoaDZL6@${v0+EpYtq#@E6|v@U=OKduBV{p?-n&A%nps2aX6Co27+I
z6zEC|VSSazAtrde{8YzVm?MeBhy|weJt0&E|86hS;DifqrzpOMoywJSxZ!F0xI2}w
z%dMYDf-rN>M9fF{wdJCh2>i;vb5}FG(qndEFMQ+nnRB)9Jv-`bMOg5UqS7e5x@7-I
z3+8<C@@hZK6iP>_3y(I$yd8(nb_lnhfnAoxsYv|k4y(Ki@WDKa@EQ1CUQMJUJi?<>
z^&M{f?o8_p-_4g{nTM^cg0r8&-_>(c2jGSVuPbS=(!ssel((?HbIDj_!OvIahW;VW
zv%dKCH9TdpMT#DA$-Np~>9BSIE89jm@CluECcNGIrx_cZuW{5Q6~62>q0Rv-iLrem
z_wUTC3f>BP>zrswfEf)-9fe@Ym)si3F!OM1kvM$!$VtOkSVZzsq7+OslNw9n7nXK<
z9D*a3yE909kz?BhEn<sAo_P2ZBSoeGEZ*0&BMO$UpMP`=roXi~ln9qoU3z;RwvB#X
zl?}Tnx=vh$4~890c>`<9io1EjdqpH7i(#(G9gp4Nk~AvXQn<JDUym>BU)KA(5*`~}
zS@4D>YKpBt!->=N%0cj+KMp!=uwrU~J;@(nH!0|VnJR+|LST-a(iwel%!yk~f$*3E
zZQw9Gq``CHDO_`Z=+-3sRg%gh5}qk;o|uN^RvIef;J+&&wX5)5*@)j!@P1ier8Rh&
z=bUOHeC*iST{P*~|JxljCHZgJ&131{SAMjK&tb-6Y~EYoACGgI6W{<Lju}pPU*!$H
zbU4nux>*FK{=%-G49m#3sPBN4Svw+L!f#tMWp~4tpX0J#z&90&lceEm>gSeT!x1MV
z!sX$TOWRqqU?<VmK@~XI;M`;t{G%bS<uELn$4^}ef7Wf#(1vxzyYy<|2G{I;2Joi8
z53H);>01rSM(}Eq-m50~-<RneU0D2kcz7$^d(vo~#0BRouKj?6o+!<k!t7^m1Wdwe
z??W3-!_Fthxc|UrRPG<G;1I5GnPs>#E?xQ}+;K(6jlvD%Vakrq1I~&+P`QM76Hls(
zCtNZ+#YEz(=Jzk&h4-ZeiLN33gRQnb0A7<&yhe+7k6!<XH|!T0dx8NrD>_v{@+C9=
zjB&%tA$s}u;3T%lbq?5Ad(|+8<d4SWX~CMZD;i1gPo<r;hv1K4y16OvnttmReVFZ!
zPRdKze#^OCy72EnTYQHJ&%>)U=nh-5+}!&Swy1x<aueRms=2ue&Rtmx4uZ#Hk5Sjb
zrPOZ8{;({^ulOD~n^Np#0nGiL<<StVu=2z{A66^8Gw>ab*l}K`9=<r0(mV@So7JAL
zfn$VsX#9ff4_aol!0W9#`&Qwp{x9W?u<hyX>WmqfKhLU4H@f5guTRLb!7J?BI_Tl|
zn|>s1ftdtf3$nsbh6E${U<z7#1!kD<YcY)g{7C(=HwP>%IP+Tsws<lc#RfN1?`@ZW
z1<O_>w!>6sFMW}Q!>%0B5Q2?P7o_cngYKPZk%pg_&OJQ{M}@{t?SgZ)<2R_n{fol;
z<X|DGu0Mz25*w@kWQkQmY_(x~iivO~I63jtX#<#NQ1q1o9N4>0*%<y;F0P^jFWWEb
z>cf?sKSck7+rnNIk$kJi*RC1ESAAwOP2h{7>HbFWQHf0cQ?PxDc*7|;Bj=*zF*w6~
z=B)+n-nl)R-2aii{kj$0*wLLv?oS&lJAM(?+hH6)@)dhzZ{CDGxoINwV1cUNXWik}
ztKQCru;r!SvmtQ1p~M{>IDd0NXBcezcYKcI2mO>6egYeq+*>~cvmIPwh=yytb?vp_
z2G1KtNpP^yq=y>p@32oX6+ZUjq6KL$JLdgg^Wlms6jxN>2PLyP1u*lIvM!Qe%H_EF
z0rsLDTi6S0>kd>`!MCK6tVsXFiCD5Vz&ASfIPHch(l}O|U>%RCLDHYf<4-iYVV6$t
zjr_3Ba>B|G{PpFo9pvA;(3&!9;(_<+?i!x|J&)uRgE5>Dc4LKn-frc-r&ciKiB>vI
z_#%I_&qetACf_mg`2-)|W4j4os_Ohjo|j!(Yt;?Tv9r-6{hu-My5%vfa+q6=^k>cA
z`Kbr+zql}KbC_5CfJqU&eUqN4C2VJY{n|S?iCf`|6@0E{<ZT%|z_3_k3yYlKX?PE-
zHaBd%4*%t|dC>;nR@^)s08i45&ep<tS6Gh+!&?s;D3Z8}!99g2c-{EH<p$XM{-YPs
zFlXXYP6r%GVHlGL_YZFV+6u26(2|OW#b3YlA@{S`Mj`MV-WE~uv>N{JDr49S*fmpp
zs0mJPtMtx>zfl}qt%r3oT4!@$C!Kf=a{mX9!-flBE#@pUa{t-6q~pafM*vImH+Y-H
z=_BRvi6WljF1SMaq1b1b-l9`)65f+|l&2on8Toc$9Cqcp7SsrfF&)U9A^8kDJv!hz
z>I0S2a3h1^bQk>1B7$iVUUl2lKLCHPcpx$l%a^>5pM)Rg&L3vKjh_#z`97M1GZn{9
zv%-ew-%>4*{0^n(+%UKG?Zs8tvR<;31Lk1Ow_bxQpLx;=z-i$grZg|{zDj*rfDiVr
zF8D$R3(yqXY=^t*y^EP)ovs8=A^36VM=4hL=f=4zaX6bjSbz(5G-&P<g>@_%!g%0)
zxk5X3!###Hv25_pKs6Q_xR6_ii36rKx_?p;zWF^(j2<>^sM?_lE4}<4xdATW=5o-2
z&jzrkP{CXucbn?M-<hNQNPdQG!-N@J)LrzD0{+}Q+ISlFj$fmshL>dJcx+&kAwHJB
z_`Ig7x|EmU{%c7yB;S{3>ftR|JE`#R3gSt_YqvaLrYmc9BtOyOXt^J3%g*Yy2(N!V
zlMw)0m>r*7f_XEt=kLSk!mrYh{$M`!r91+rX?x{74ObTMGRDCv*7-i8u<^>aUkR|C
z=;GWsELP^Cln&2JE&n6^`!m^ndnO$AyVzg?ezEcT-%5DyV!p*7ocQJD$Y;2`#`hJ8
zhwivqG60XKT`wZ>!cwQyVK`=~P;vxzAFcQ?1!r5T*nWh6UCVJ<g~j;XdMe;HYx+_u
zPxNQY#3nKy&J>iM-ULU<yo*bP@1L~dpo34|zF6=C&Y_hUWrQ`S4r)ihQN=Z})bP}v
z$@66X>Y01nZGh9?vNQ+52HpK{Hp6kf*;DTD`L;kmF8J~3W^+&YZ|nD3K{#+k>ds|&
zF2&GK9RAUvJx}UIwCbB$Y50%UTNMqsh(bz912*4Ul|}0H`@7-3y0A%!<QF-ZWq#?H
zA^bc<UO^E~U$Trbh5sELIYjF3y+~GHbC^DM_RT(6pUR`=0=(85^>G(0a(G9c4P26t
zB17sg2iN02*I+#ZZ50W)drfKB5&k%FPJq<w#zJ=IJ8+Irl)Mle5qefL5O(an|9LCi
z+d8-E1q;dh(*42v!5-}&-eK@!L{Q{1EPe8pf<LUaL*@N2oEXA6L*kD7NB<jy4?c-|
zPU0_{*i&A^+Vz90(QwS(dG<V5*ZsU^GJL1Y?AQaiHtYD895_8;cljguoKz=k5&XB^
zd;B)s*8Z)k96riwaFV>Q>HWOGQUeRB6kfOm?_GcMyAJ-a=-=WFw|X2@ZHMWfPWL;*
z4l*HPUGT5^LW3Ky76-fiApByS*TMmQboH#s2;3htUgHEuy&I34hAAWub=tz=c{2Vp
z@Ri4X?@0dmSq&}<FN|l_eU+Et5uT8LRB*IcQ}Q*~Tr%c9JG^yT@HKf~HA@<D<%DTO
zW(2RmMQ^W^3BYfali3~N^CH_i`CuK28@|_Jtt&5tL}2T4AMV@1E1dK6JK#r63#B(<
zr7QQG4B=<21-V{uo}zMyJ{;&pSx(yXzxwz70dRwLYyK1X*fq;|KUkUW;ePTyT0g#f
zxC(y!BVC=muZr_M`dSU24$q>@f_L@VPEW#zwpH;Yz&vlHi)Ufge^u$v;4J<^rwN$f
zzvtt9`0>zH^`G#a>%&H&u(0K?<x$uvd)0+JZ@$`S7Ky*y$3*7}55Bjt8H0n;I0Y`j
ztS$@trs4f6d$O!yLx$_q!|>K6*`hP>mnV5GB%fc^q5BlP<7%cxJFG%+bL<#QZ8R>?
z1qbKExEjI|kIxS_!oCa1cXZ(9(I;P8;5zAAHZ9ou6sva)9Jkmipaw7TYFw;`hu%|W
zE5lMB3IzVwKGclGa`5%pQCiYI^(PMM?So}Mo0WWk9f$NUh{54uFG5KErX&8pw!{7&
zyqcx(ow{&FvR|8!HQihZ-_>Z1VTU;tKYuBP$13~tXknLug~*TavPR5y26&z&u%G;U
zzg=VYP{MC&qN{4*jn_@$so`7aceAv?Ed0k_{>6Us%?Fj=9q<W3?JH#e7<@CBdj)Pz
zmv>!9{Lt5!^*^vx_R=W1-!<0V+BDwyKL5*&-Q?f1NZ~tA340u`yvYT#k6qs)3oAK|
z*a^ThRws8!!z(@a{v)4ne$}p24L(5qT1^t(Ua#As42Ryc7TN;~pEbX96#nmh$QIIm
zN&d1vda&CjJ3j?D;dx>8ad`WOM>kdB_Jg5AhH$vo8Ph}XC#i_*=i%xPd#y-+SbeQ9
zvx2|er97kof7@C!<qV7E*BdCo7u}YdZ@~Fp342I?UfsKXArKBa-MO9gH&bGR$6feF
zW7T6a9s*kpKZU~5((3_aynM~!?+b<<cB2r(m7K9+kKvWd$W}6c-$jf&ka&^#<3nWr
z9$B(1d<55T{JWEk@6S9PllS18dF!!mu+bv}*$B9_qxuDz&wos!c%$GEhCkYOU^?mx
zb=7bq#T#Q%uVQAh-qgYqB_AqDy}SBaWUUoGE9ufm=1Z8`wUG|EKK1@<l0V*k%4Gr;
zqfmZN>f0uXB#S9H-N!7J)I(bF&>w%`wrYwOq@L~G*V_6Iwl@+EB=xWHNvSo959$Y}
zw+GoTKR0plWP&rJKi87|@2?ZJCq-ep8L5wC|Eqn}!(kh2E*rWz96pd<t)m3@aW2uu
zz*Id>mI`nkpOZ-veCOd?B_sG|*r0AYob}h#_$bU=pdm%-3oo10=owf{HeWCw-r4kd
z%^a3{dD`JU+-0`f?hHHRw^>!dipL+!IKpc`pX7gq_bL>A35JaWIWn5yw#(Xs0Wj^W
ze!T%$BEtJ|A^hg@6}53#@-=PdTe!^r-q0fKJHGYI1ndwz|Klfo$S(fy6kN%9?93dD
z-wG4@3%;3}cX<*%_r%rZH!S;_t$P~Iq-ZGl2an|1kB-7owR)+PcW|B;ZoxGVhcr{L
zNWm>L8QZ4d_)M?gyWr|wx2R`f<4UOj75L!5p5@>0%$tmOC3r!NvFi`qTV*8uA3X4<
zvW^PtF#}_bwhqjoq@Y3zi`w!(G=c+f%<pA_L$*FlKMLc!de+?V;3OCOP55F}q{C)-
zuH?n48|*5|Imiy1jxK8W!g@uz)8zU;=6;g?aI%|j9m#L45Gam>5B<H-xe@-b{4(h&
z9DI6Nn;G7(xH6dte>)~@Ob5T&?AM$EhwV+QWPnQxns{Hq_hLRZP{K9)%&1<&DJzH6
zXkaIe7rF)Tf9+O!YxukyEqCuNhCk;H7q7$G?H+Cw@R~k%GwF}>qux5zaF=kn#sd7a
zyYXQY9Qw4_bPRr{QGKohF0k5HJpqRo@}~F09uGBI2g&tqj~)!cf4hqgjljLRBb}4*
zG51P?URc7(?86UOSo7eAepvl&Cc|%-?xcE6C(OtrG`kFMdsd*-16NcyDNy=ie<f0Q
zq!p(9IxI*7FHP)u*AAcVk-NkMyLE}yeSx38W0hxvH$*&Du7Ndmt-W|*o_}H5m9U&p
zz0FqmyF67PIsftF*`6&5J8$__Q3j7c3W^kmeQK@umBU^0eSOlfH~%r!VmO0Evq~2J
za;!4D1Xgd4+H??B<jgF33;RT_E~>z9ziyQ(go`T-RkYwol$3J0u=S4DqPp-vx>*2;
z_gCfovxE~EygWX@JnRNs=is3EyA<T}zR_tvl?4AdrO!ytr*vD?)l=aI`)|~d&#%6G
z)3ORyohmFR?VCZp!My@*U>Haqf{%&EF}A{YKZ`#74)^<ui!{Mg)}<TB{4$w!u<L?P
zJf~SF^QrRvZ@+fffl7T~3I46@%P|hO=mod^gFR1E?;e5OtVE;8_#5(NF`)HBd#*Jl
zk?|MY@K}xk?$mW>C*!YNrrnbjey7mHzzF|WWB7y_-Z{T}k_DbpZrULLzg%otAoru_
zHf0fpMc?gfC*yxLr!!s#{&fG^6dA7?GlSRUVdF`D3o>78skXmUg)5G{u_5zWGAKDt
z13p`OLxRlTNyXH%3$SbGqyU+J%GyGm=U@Y$(-dU>Mde0ca)j-2MmLiAH`^s_=nMyE
z#=DdJe!jC&9<YzWc7Jle__1LxFWB8PT5=1#rmrWH1G8+DXC&|ctSNDBFJPyGG#*lL
zeMM{eYnVbZ(t@0y7)R1Fk+|owT^-r4oX(LqCh>f&g;ytG8;T>((qN6;Rsl2kIj8ez
zHXMGicEJUHc`xlq3T&zDC2<GlHolr&2Y)PGk|p~m6KSa@jqtYXtxJCJL8*`L=3omJ
zn;#*t!tlR_pKw}L@>n9AcyQ|}#k*)<LEUd;e|IHV-%$?k*G@^ug`>INK0FDR6&{N$
zgr|M_(v9KLZU_4J@Yv_YISaVeQ>c%ePuw<hIA#P_Rp=UY!y4XqqEEpOTGgay;E}g)
zhYaC`eCI@R9&xs#Qj)~WC)RI}^8<aKwqSjD{)g&!7Wkr1U-Jq0&kNqKBJf9@3SJWT
z(X~?A0XrW0VoBn3)|)5Jzzarw!Yc4JEyq*m;q<bu%SYg#v)l(<;defVbChAuKA)F2
z;g0VIR}K^RMn?L>ZNXLIYOt3BJwp(DouSx48|K=c+VT=EpEMjN?d3nU!!jKnT{s^v
z1BX5o(tii5vlQ1$!OKPoJ#S#wm^%OMaO~ZG#no_r#QQp4_&a`x_8Ar}Yr4w@5A=<x
z*27KT9iFkk1^euC8ezFqvr#ViIbZ(6QJ9HAXeWv5Fl$jyz|keN&Lm!IaA){0?DXtK
z(I!~Bck79Dc$<DO6^Vymy{k)?iT(R9Gw&9d=hS#7H9T~5S2H6#Z?0Rv5#Ah>^_>Ck
zsCsF^0K1#lCsM#HFKx6q;h=;sjjI?x3pYfqHpAKx8`US_qs?xoxZ(4~ex~DaOF{w-
zi5KRLde_6E+;TGl@Ezs$>@Tnv-ILq=Fw2>xiyz=%nQu<p;nN|uUM2AMFlqr3Pob$#
zBjdeqt13H*n=)yXCBmn<H%OEF>0G$8=ONtmSXopQmX};S5(ek9C+BU0&slP;--UZ9
zTV6=O$LsEL`oi;c@t;Iss*_dzPVmIQ=OQV1pU?g{d$^tN+JZ2w7@F&O6rO1b{w_}P
zUu}!jgE@D%g_HQ=d5_Y)u%X^W5Qz&}Ot<ZUjh|LOC(rw)TkMD+{4}X8MiS=3AC=^X
zm1>Vjl6;1NT#hX;)#}M#x^Nm(RxqijtbwII+VGa0jT&pHx30T#ZB0mg-Oq6eKKX`Y
z^*Fgc@rA?;-2QvRj2UeA>z~>*ob~&~xzq4~TzB9C%<uX@*B0KZ=JxI<oF63j{wmxX
zb!`1NEV0J>+#P;>e`wbn>@V_#%M*@Rd*`wO+w>GN-Gwz?uG}N}DY}BQL9m@{0zW;T
z*Oy_-=mR)a_M0pXY-d<&@)#b|f91{u8&$ngON2Xfxijcsnr+Ux$*|JU*xV+Vs{3ME
z20VL&a|6le%AE_&hS!a<qDXuFb(rva3(Ick%;teF{K%avfO|#~m&khIxie#|4F0;|
z^Cr^X=@wfLeul5GZXF}*g`otmOg$WIr?j>YW~rM?YJ?Y5DGn>c{X8>II^dcOycP%G
zWg5G)gYa^%u)8^I`ONA{H>~5sWOW9{@15fKPFxzq_5eOllP@#`+l1Zt^9U|5Hc<Hm
zZ=sHztAzy^w(Cs8m-xcE8{lqn_FZ#u5Fgc*0r=PFe)&n*@z?yZVYn)?A(X^j{t8I`
zh0~)SMUnV_*(~hqF!S&|j~VzLt4|WC2foeP0Tb}@9fuH7Pkw#V>Lu|H&!Q|zJ))Ia
z9Vc<#sQ|s*u%5@3ZHw@}K(1U;-|2P~?EDF<jx)rV!I{55#LdG0<V%MviP_Jklh1ol
z=~az2e2>#>oy2z>u1)fUyPs^?NS^QX_Tms9IM{UePjbJU?(KY!V5U#+m&akZo11AO
zV11gYqvZLXhVSfo1vl-qI`kWUmZCJD0XL{*Mz6s=och%ju!4_NDv7h4QqQe|J$j#A
zrFez&&-S&(aajGG_yv0SgBb0^2%I+dU)u&a=VH#DA8^y%vVJO<PWC1DEX=Wg*oYRU
z>^XUE8J=0AP-cf^BhQ4*!$-=cvN_<sV+`%9@QLk3Dg3agCGC$T__fP-PC<C#=&OAc
z{+NFzH<`p>|C&_2HN@rRGd;y&=Lx;Xw20eBDLL<fjhj_7sNgO-=P?=BTySJ=BP=jM
z{Y?S(b8TT@fS-)uPt3rnzg!Gi;laaAni?=?!MTgfux%sT+e5IfHDxvjT#%FeQV*tn
zGX9ATUjHuhz!2W{OytCN*tq%sIJ)n6uD(AG;Hd1q`3fP0s1z+_mX(o_y(!5aQIegV
z5kfKwMOL<u5s?wHXOu#sg{b8By1zf4kJtNN=bn2$_jAs<Qd_72jK6#8$PaS`FmD*a
zq1Us^_rrDzdCQitqJv-OUih5QhJ_6*{gZ=P0uG~%(RYBQE_~fD28R#7Z+C>nsl#25
zz;&DHPXdXYe7!;x{%rA=I|SZa6ZuyXUcF_%*AM=<-uO`pma}WW=MR5k&=)@g%k-GV
z+=kODd6iDVEOK||Vqi&+VQxM6uaxL`B21-~diVm&Yq7I270!KL(_{rNm^`Y;f&~}6
zM$F+)C6TGQaJ5?8B^NlR{6K6W{N}Z?pCf$bYc6RC+}HQE)f1j{SNT;5vp0lJxWQX8
zuddX<J6GuiZ@?$zu2?j}H#8bfc*74<min7vy$Yp3f5QL8ws*j5H&*W5gbm2pPj<nT
zOrGyTVD??l559#1&T_2>!uIQLSw~<^UjEPocz*jj^)#IQsPTR*9LSUP^*wylqggZy
zettmh<04F>W+MLpuJ-inT!D2M4f~4V+$hneH8}tHmrn(7S@Ubj4cN}jUZNaUGxXlS
z4Uds;D3!tq3r%!8i}C#~_+_989t?HcK?7S-U;Equzm)G-V1Uzi+g*PHKmF)C%?^Lp
zUySX7yN3>3;DR|T%|`}c_05@c{BVfz^l~3O>z!OH0Q)RnkQ#&6xYbKU;MG6f>cj9I
zndU?Z_+x9y_$T=IC!a_uxOM;D?;qe-NB+8;ghdv}0#;%Ao3b~K!1$|2SAM}%k4cw_
zdbKD2O1I&zk4^7oV47Oj_P_A2{r{a(f_=VKK41&O=XdShA$7P<dQSy2Z0j%bR}YQ|
zYwbS*w<a5tYr?#xW_8jqr!V;z9r&4^xSBFN?KVDZ1ZS+qTPnegL3i8D;oGsMU-e*)
z0EY%U_(?$BE*+TW{`o`paOfjm4P$sadh@?)u<Jtab)vqx;r$&SSeoxpvni}sRuke6
z|8Wl*F@pQu@_q%v4r4RC)-adOg%7cC><1rpqTY7jxr+(#gxO$%EzHRB-}zMd3@dlO
z6;bca+ISxpe&O-$3e5L@vEm_oW440)GW=z5eqSz3R!6Jp0=M6^p?VJg+Eo*G33jBt
zdb1wBK0-6<4Cn2bH0y_}9wc%Txj`0N^(f3g8TjoMe8y+7@Ev^na4z{x_*iBCi78lY
z*`Uz_zAx*%cL`p*lDy;u+g#HvTYxK`sO8wf3;TJVe1*CC?4A?X8$3fIwG1;~<Mtr>
zPhn@9=qk*ka3sP2u8_&E{tjQzT9DU*tNQJWHsI~Xe+K7a(x~$%*I}ol6^z9FQjMoL
zv<0`Sb_mPEu3ew&f5Q%YZ@oJX?^Mh#BQ3%2XT6JElY*)K1<P(DR}nZ@EKa!NqbMD6
z4|}WeeK4J0TQxOoE5UV_55CpwTEqm$KNra7ft`10pJafm=EtpA;cF+({3is@vwnI+
z1LwTwc(MonGm~Yy1LlzV5-tq~9*)cSjqyv7?|kqeVZB!!v+$h2wh)n1iZ)D7!*~5e
zQjWs`v?Rjwu+z2YF|sg&){j$j@bAPJ?$hwK@Y2-@xaUFb#3h*P_kTW}@QeHY_O?X5
z@XVnWI9Pkj>?+)4UVp9;PUvm<Y!CnV9<W^nkF1@Vae;$-joB(-s&x`4CwS~N-<zj!
ze~g#4Cw%(+uMbaPl@yYjM172LpneMcl~U0(1Rj5}nM^$2xMR}O<6xa4>OVEa@jk+j
zBjEZEav$qpejyj`XgJaP+JRPBFK|^T6rR*6U~h-T-`}Q*gbydO<&MC~Cqvfn!Qa+%
z`}$$AkfAGS@H6dEj&az$vsdp4Y?EoII0$<R?R9<xkLCTUcnM#XNV6$`0|zQPiRa-H
z%d_7e!%Vgz!9@GGCM!P{!w;lnQ!8P<u))JwFpU%IN-(T>#6u<(CRx=Py$y$@A9$S%
zJKo(Le+w2pxKN%0Yn{ui_kro|X2?B+yX~)fxxy0$iZpGoUHrx@@qP9|;Oo5>xH$54
znh{(h9um|CKN916r3<J0Jizb<-g^A~mO4CI`d{s?QjCAES7JwD3iYzHJ7AjK*>hqr
z$$&FAA1wB!{v`4JA8E3c#{)|py8n{{u2zrrJr2u#2v((qdt2BjrD1K7OJqCYzFQhU
z@E_AR6?Z6$|HJ%7@_XMcd3e-b?9&?jE8vg47Th00%0$ess#bj0&chtfKD{R9XDT|W
z?~LIV$!DvxuyY-|qanO!>|W6r{FLl~x)U6`TDsf^GtNF5ae#N7Ov~$lLnj|L`@ltE
z=lWY<*D4OpYw&69!;#Nn&WB8je(=0yaAq~!wiViY15S){HY|bHOPy=O;Rm7A!TGQp
z<;>aJu+{Njr?O#T<vgML@WsGR-xT-{3-hxSSZbj5XdG;6F`1SJPb40*h=gbRc;qr+
zhBb;vH`rcYPMxTK;M?x$2|H3V``v*p9$z=qg>wSu+>+p?xED^^a8#hlzXaIXqd=J0
zU$BacqKbx@oNbxZ;j!`%fiU>Z<gwtB@YfVA4&r<q+yN=a;EDC_dZPWN%BNoP!n6u^
zp2fh!R>7nH!3KKl21Gu4`_zsdaKo-Q>O>xME0~j5&kM-uj7GwAr?2+^!g}JR&90t!
zm~y=I(<=OjFTyAmj@?el`~pu^9@9*Q$K)p~7UAWe&&Th=j&E9>X5p>XvYIFGl|6n%
zqcC&+p|eDPEuFW&MC?bcu)IA{1m}Lq^d<JI7F4xf6~LnYQAgWgx4*YbYTy?MKg=6p
zF9}kaDp>Z(JC15te5HY_3l_?<F(`(sHPmBz;1+3*j4F6+$8_Kz{8RK^c{xn~-DPbU
z&ij`0yAD3QcgN=`SW~B!p%!M!N;R8-S(W=PHp3o&Uz}TkUpkWo67|E8rq92@Dc5K^
zUc#3KZaw-()JKc|AoeFzy#zT(pW*u~@5qT)a5PH=4JABfb4HV>7f>|wr-ok@DI|5l
zY8ERVOfc`LN&&I|K^yW+;XnARpXMu~KZ8otjtRio&F3dR!P{T2Cy2nQr_YrV>pkWp
zV-JX&OjG?n8SdY%{YgxFVdg=V_tdb`)K?x}_*aB_4;}0}V82rkRxCMZLX3}j5tdEj
zeCL|wU5WA0tDZU|0Y{A=`$wz~f9IYXl7c5si?fKpg?V|0PQyo9*cRkryGWzGN^qs|
z&aE@>N!EX~s_@A7l}Ii4{-1JEZ8&jaB=bBR_BP5(2afyG`H9#sEIOv(U<7CBl>8y~
z2jkOur%m9X>?{Rhy?Mib=&dz8YZqWZtVfO9tIpZM1s_~8EZ~1{olZHzdTi?D#D3%K
z<Vis{_(|<vd2DUTamlZ7_`tq0fAk$-L+{@0n{e=8--jD8|GVhbU^w7O)`mCizwMwM
z1qV79_7I=%l5gT?6JQ^YJ?~>+hd5#JdvJaDl1m267y4yS2Hg3+IOIOeE=%&`F>KB+
zomCGrD!%zt4D;RnUQr7Nm@U33hb`)g6*}Qn+vhKz!$SVH2JLWYNYAkbICNevqZf{$
z$~@2t-{SmH)(w9X`x4#-x4-ZY`v{+4V@V`(kN5rV3oy%fhi^nq9bl?Visv(V*dy{6
za2M^?ZVKXg?YZ>dAl&#Y@;<R%a^6}N?tv9r-`&=OFEDZ6?}ghBRrHv`-ZY$f9q`lw
zd94N9nXSl8oIkyOV*4`eNq2fL@$==m4=g#rM}_TEU%@BzNhLjCrcteu8hBwYmGU|)
zvg|Eb2b(`~)e3|S@?@0q;4?#Km?Giq!xlA9V5cLThQ#{EWK`*8HXN|qKrsp4{&?wF
z4!rXIP$aS5;b7Zo7z<w#pH$C-J5u<&<Kc*enuKEbrOLHmUNFOgtL$@FvOe-EF&+e{
zF5D*OH;46w0v+JoM`@-Va89e#8Zn+ERc<~a)+;Li{%#ZF&1XCP4zZru^_hQxsOPq}
z<RRu$FX(4~*udly{uIP~>r-0aEh~8S@`EN~J{CQqm8c6(*Y_q9_3zG@P+o*B?JK6f
z!0KvjELw2)&DR}Y;ljP*e~5bX<%EkQnE$cy%<R&DZC~ce6Z65}yu8E2@l0t_W<qfB
z&(;~@cs>U;6=MF`W6Sl7_&jA;zqL_;GdU{ih|k-L0}Gn!aF!$~r!l<B5GhEk556!v
z(-G}u|L%I6SRd>%zZ3ZX>!H>1C)NkN;YG>%$Sr6B^ojMr#+y!RLwGjdBHbJA?bBns
z0K2hxhTVWWQ{5tn_A7Gfy$OPMc;Co43kx=R=7hsfPbD&|z>%sKm*QY@4wl{W@ZfFh
z;k$6F*@1XP_>Q;I?sS;1An(2mENrYvnF(tujRzC;ruxjuCGdV<jXNjdpiS<;GT7-G
zl``@CDatSvor53D<jN4wpD)@Pva|59oxg>M>$$qMtLHoXb|Zz`6y8npeRc(=IRBfB
z=#Pt8IWF5U&Dr#g%dq>;h>*Xq8~a&(7kIIm-iR$6?~~HLs9l43RF|EY;b3#eBfjwK
zOG$qO;J}{7)1L52&e~6VVNPk1GNS(Pkr;6a_|2F5uk7JqhwdFm;Z5zalULz?R1ei;
z;KGzWXKi8H*aj(C_|Gl#+Dq_C(%qZNFva|b9^!tad9>(gz{4H86^Q5O(SNC_`mo5N
z@p(PC_hM0qA<U?e*hGw<0hQ1$OPFf9yOS6{<>!*CY+$n1U9!Y@`7g_P>neP|?S!g2
zd|J_O!5RL+v6xHbjF)#cgu$<GvXl}z=K{-<NSKBF{S?ukm(MNTYlZi}+?Xf&yN3N=
zP&<6fOU{&N?}_dH*S+wryE>PM@zd`4zTz$H(4IO@jGu<qsz2kfx&Gt1^Kj_9)=yJ#
zAI*v((cYiQsp6mD1Ju8)iShK~VlL+*oTqSlL=7JFx?%AhzVu9fmKaY|6Txb$@Z!}l
z{d2I5l~Md(SbI<CmE$nOw#{X-2+V(zXmyD1w@7oQHD-9Bn?*$lzMDWp%?R&ze{zTz
zUjrY@@A1Pt;^`+9;NZ`7L4xoh^7&$-USdz&YcbgA@Nf-rKDw@?3JKUhnqOQFmb&8b
zM;hMVM|121EMMdF=>*KMOaJL9c(Fl2TmkN9JXLuV<||X=JPW@Z>3u-dCyXrT>cd0b
z#g8Rn^_b;2L%6nT^FJw=y{Kix68`(&;9lbUe3PQ7#ReV@<4rpRtHvf#Il^bnRv!`H
z|Jt!}tIqJG>VB^y@D;i_hB!F(_xD=|;A)DQ-wE)JQ2C$4`EJNo$lr&1a>=*$!Jnp!
z4rIWG%JkhtVd+~z9(nLa=U@mAyfe;8wGdA2j%4J9*Q=Asa^U7(av@sybGh4SKCHj+
zvV;m&TDcdW4Rd4_4KHJUb#{vHbP?P*b<KJSw*4-*P8=VVFy}?g-yG(ay9(eJ=h#2L
zga1<YGMB@;{{$(B`C(z#sew9}MOfRHm>;^u@o~4p*E%;sUct}u7k0M8Up<62JBZ_l
zy48DOgYXWr7FZ_nuJl_tr2OZ#R+wqOkKZ`FeC%#O1FRY)V?PDInQK^Wgo|(QDftLX
zjv4+V=C9LtKBO+d%@o1zb#U+Zj+t-pZbz=074WZ&@UEY*{k`;2B4?dBmPH$h{ctmp
z_e4JJ@GFu5{+4y|Vl`}XWU`+Ft{tAXD22IgQtP>4DTk9Pm9Q(ljhYyo8D4jx81~xc
zm6CwHMi<+NdiD1^Zc4+^_D1iC_08OAVHsH>7Yn+W0h2Y;1uMgXe=c8%gYV5c7;3<J
zH8E4f`sBfaZl*rmr+?{N2+U-g>uCa?ri-v8)+f8Z#@5-uTJ2w*0^koxNAoVhN+ith
zgJ9=yzGY{aL)3H07Zw?89&v*=9@h>K_2mQi?1EsS=d4rL;q;l~+M)1+M<FKy;meD^
zgfiel_F)BLJvTOx!jKK~_w5z)hwY>sA3THY#axg2z~r+u;T3SxW(yCo9yES3&DI7V
zK20u6tQSSt{75=r1JOfiL_NptOUiw)`IPe`H@NB^ndAUWaz2H_6IOEl;xhqfW_ijO
z!sR#52+qTsTKXOOaI>WL<TU(Lw|-n1UXrwaHV6OZ&bf3JPWj{NFbT6zQ(iv?_s+S?
zzK1Or*LO<6`<iZTjKRDn`{^ZMcDv2@ME!W@e`#XyRhJ#<gRoEF(@J*u<tY=BDVV{x
zRD=sQysh`}BV0;PDnkQL-WT;=f_Zn)r7**Ki=5|oMqz(s%%Xe?`vsyDYBY3kinirG
z66AMi&*`wi6nb8VHjzuM<jQcuvgf^W{=l*(4}<yPLn4V)%dprtBST^MD|fu;H&}Sq
zAX5UiUrjr*2s<Q}L>z`MUcUEu38q~x>N^1|e9Nqzg7@v!&y|Hg^e1M&ho6e*9npq0
zvy)SZ<EI%(R5jqAl_>!$usrqeVKbOvBtBvueqy5CYzh04nKS%{_Ro{tx=SC8-!EO~
z<79<<#TWdT;16}G(L{fZ1dX(E!8CjnNer-wo@@yZeB162712L}Ob6G6;KC+7L85<{
zX!R?_;Xogsd)u)273IHDu;b(XSsSo>;-gQ;VW$~&R-%6bjFQFWVYOSocvj&(BHuWa
zV7KGk@$2xq{s;5(@aeP7sbAr}ohMbb;IFL|K}3DonLQ&G@Z*}tkwpLYdU!Wm!xFc;
z{t@*tbq<tQ;j<@67>WM+yG}pl3eRouhs?pVEjxs+!>5`nqlx}K`1%6<P539tFv$!&
z`S+ZD2+V){64e-7^f*B_3|`&{^_zeN6~k}G!tJN--|2y;u5g$n!FSiH$%y@?zzF(>
z4`9FLMxhEgKc7N9ALh_2Dt!jWaMJF~hI2#;nu-0iD_L%%d2nKWhDJ6_CEyXC0W)4r
zF~183#&_7|z=k^$KNI_Z(|g-_(_ywhWIJ!dajPOzM7|!dZ4nHQb4r&rz)Aa^?TI|x
zNjJR-p8w!`{5D*A(7a|AZkB&=!3|!2R($O<94eH3;u<^`She#H?0IcNp4g8p$?9I&
zf~A*#R}%F{ll!E|W3c`b%q#MN=}c<Xcfem|s*?QRH(%?=SYW#KT^Yprp4be(WQT>r
z>6x#?$)`rC`QVWfBW`!NQ}^rY9{6R8)g59#H16*AQ=%}X(UW9izm!dzTv!~Qoql`C
z8@4N_RnUZ=s?oW)!WXXy9Jl}%-r)W~obQy0pobCsQ%`$|*q^;oDQ#v7x9l>raE8w?
z9M7?ZZ)x7Sd>QVhQ@wK;<_<`kxB}bvstvio0+HOSdT_Ot<6R%POl*(60lf0ebvyvR
zdZ;<>D4btz?-&cmoviaY0Ux?{<98;^&CnMh39A*k&OIdRQ+rm4`h)4$#h$`6>|b{7
zgG<KEwoBo_lute)aKDEAxmq|*?puHWd|3bDp?Ww^@$;$>EOp4ryA?il`NvKUScE}J
zy%V;vUi9IDot)(p-ohue=fY`V%Ur5UqeQMa`j-xV7tT>M1E)OpJW9N8xYD-5v<An`
z8$Kc4M|3^kVYCIuZp)Su?<)?*cPo(G!Sx)U@PAL_UAryzz{e?KV+Uc+A4QV;;Qn#1
z9V2jURm=5*@JA0Gme=t1QDqG&SW=cGtP2kIGfO-TXU>S`mB5?I@~2c`@&t13GT27L
zB<KR%l=gbhQ#h%F)=>`*=*~$hf|q&rm7Bt9iZ&1OU|zxDbPJfoYjcChJ41!seP9Wd
zVv@&jmi>T<FWf!uxImn5pBee*C|I4VVTSm5`SSWC5wP@Twq7N?Bi>Ot9yYE1ah`ae
zGdfdcb_doKnQVFiU$^MaNrrhYi`TZnS=`KZcVXVE|A}|N!5w?a(qaFc_M^>kwaDyJ
z20XXF^2tj$L3T~@F?^`cw3Il1hf*<50sM1NRj3h8X=$-3gM+GacwWI&*_1a*;2Wym
zUwYwfZmr}#Sn2He+%WurA*Qeg79Jh!o`3_#@=s2~mnToQ5%=pa&wK3&STRqbXdVuj
z+?-y5H_D#ouE68Y2i6u~dxbZo#QUFl7v)aUSnPky$o&2b7aaAN`G=hT{nIm47(d72
zq80ZeKPb5O7$fYXSz@#o{yb&N#|G=Gm(5GTZu@3AcwjBV-YrSEg-e2jcz=_w))S=&
zKfYSDL5zR3yt!;Sc-eQ%Q4}`yoLx|Xl{Ad(4#Njet^PX;zr66hnRtI=%l2Ww95$}F
z_MCWsbBX@zq6y5dx%5y8Zl0O)c7*@cc-&WqFYlj=xdL-MC}+@wT`r9cy1`~)GL-u8
zL9U6<&hWRbfSbhU``qm}hrQvr%hX=xFkeoWvL~GFs=H_j%gZ&~xe4Dhnwlk^A4gtS
z=3IyOuZdoCfXxzfmjYoIvr0|kdFc?IO6m^>Mp3-<fYXD*RKj423;$IF!d@NLo<x0U
zn&<uym~Tj<E&{$j6hlqCFA-H6X1)b`b{qf9fuCAsXWfAf!{;Y!VYv*R_o47gq2Yyk
z_-@<Qej?vtHKF<v-tYbTOcYEu)*;ye3%G=J--j8JG{t&haTksEDRA*wRn|dx%Y@uD
zpD@*1TH^c8ui#Z^9^7RYFY^UHwpijd15-?kNd1KWt=mRT!EV;Nyu|nY$tGH^6*%?%
z3Og|$FyyJ1Sc0#~L`0Ed{tz`3<Mk6>KGb-Vm|vJKy~|pL9r7%{Gr_f0#q(=0W9Z%Y
zd~n^fZ_MA|1MD&e0`RHWdZP{4s)9tGm>-ge1*Lt3R~E}EPr%Dts<Xe~`tXT7Vt$$V
z)|U1MJUf>7pBkKAEu#Ay4zPYsOUzHB+>YK_g=Kng1QPFCV(r&k|H3wObT_PEEl;oU
zO?ZL!?TQUdlP0x?EDrCtU)#<T?^_xeOQpAwA2yXRb%G`Aoc$<}f4|qPN6d%&&dnw4
zgqa&+Ula4`jn`RYwD3J|!4_h^9nQ}Dl?skNxGqi1@69{9rI_Kj_K^pP^}@9O33UcI
zz1%7%0=BgL5zhf<TwPBm)*qcg#*bNHdDXW}#QTMfc%~H|_?Q1>>NHq`&ua%a?Db9A
zKON>X6IBy{r*o&gAHf#-5f*&#sr;5Nx$t1KOx`|NXUgznA^cnDUY!t};Gtk#0<$!!
zkcq>Z!ecsBFz=lV4pG=stG&I3INm_hToN7#FmEE(du?%<9tYufG8d$X^&(q@#`9x@
zzbuHqhCd%j>pcn&pPG3{tViGKo?|}^J308=e+!3M-w`_r+Z}fg9f2ne@s~_teP_B`
z)9|B8p*PB~$uh&w8JH=wn^hYg%YM2v50{^(7S(`9%gZc3!zF5^uKMuICrzX8u&Cc+
zs17_HW&GwRT$UfxZ46&J{p;0lm_oT_)&Nee=6bdb-%=rWv4`zkYxBvm9v?g+6=DZJ
zI@`xftk0V$hdQ0$kNNbB9B`|Q@Y-egbJ~GWE?8gi<tbO#=v<c{KfKfNqc&0BX2@*6
z7j~cJp7w*yXeum;{RKv!V?S@e-3O+Ii2a4n<b5ZCVYd*zc4Gg}C;qPuQD4-oB_j)e
zIGj)r3O~E_?I^LI)3^6wV-T$Vsh5h_?>n-0dF&B9^2mqG06r+bwvq*36Rz<l_D5Z5
zL#6UzJ!>mhOCt9VSIdKWd~!b$?;8f9+2f1ht=aWqS2((tvF-_+&!TYN1I}K#Px=hb
zk^ii815SUDz)sXJ+?C=EfzQ{JAL@nG$3HSh!F$plp6!O;UXTlqfhRWiMGwMP*}n%Q
z!VW6T+5NEO9_{sH`1)Yd{1~j5UOJxx*S|4iBI-3)Z@tZjd-TjR=3v(&hr3E){|_h2
zXW;|wv{jWvy{WX^4_Jh*rMMpEJwd1c6)u}BNNt9Fa(BGnhJ!_H5<1|B-of?1@Q<TL
ze#HBL4T)F5bn%$4hqGQAgrDZcr%=Pcgp-zr;d7#t@0j7D4ehxp_z`XIPX^dsbl7MH
zzV<@#BqyxacwT)4mY!*~A?p7aE&L)a!|#I}k-et}v-EOp|3<E(91&yyZwv?)(j#Bf
zeOH+ZQ*N9or+~#qC9>1u&VCtI2AJl}CC^Iupo$0`JAC5@OGFvW$t&-?8`hOpFztf5
zg^pYng8xM>xOTvwA3JAC!OIsS%*Yb(`<fpd@+4r**Pm5(!JK=d{Eov%_gPvC!`YOn
z*JNRVQ@^hX!hbgEUaG^bzSYC$VcMX<dL39hRAosO7MtE3U<Ee~%f<V`P4SA??cunZ
z_FNx$z3;EKJKSKrt1%Uh-Rw5F3cp_tDoBS}Ugp*kxdNM$UnP9^tYZ_A7lwVduYnty
zETx^{aFydFO)x`=!0F3ytwnj-OW3ZEz5EKy7C}1O1&5Ij)>^|<XK!@Bfp^?)KWGQf
z4|gz+z{~0Z(&q5}W3vCo;AjnxLQ8n_@ExW1@af?XJ*Q!kl#;1$@Dr(SMLGDL%MPJU
z*!ohvff#IRF7%1?F8=+kRA!Gje0uE00cyCiYJ8jzUNAVYgAsmp>$$c79A+4z$_cME
zEts*wW(P(2dEx%RwgKXP)>j5!5{9=a4aSN49Tf5Qf(SgIenguYzU*@#<uE*~k)z55
z+lNgSO2FiMLmU5tt#gk4l!jSy*K3HM7qfeY;wYTWI4Q9gPO_KQl!2`%?4@|&C$!Ng
zWZ^HX=b!S!Cz{^-D-(Ix%bb1i(!Z!gCHN`Hg=u1ZTs7zoxCMKwjEoTDBVXGo$rp~f
z(YyCN>~H;TH3!zTv*go-bF@RL9>T+qU1<#AKO3CMWpI1y&RrJp+>s{*C9sY@voA4z
z9#4GzRt<}_<#`h0CnMm-u1a{ywa3y4Ht^n+&_;OP*4Pu?aV0XZ1*RGG>$?X3sP6gF
z3D0-4b^5_MESjVpaIv4~fl!#zk#TSaUL<1{j)tjzMJ!Cg4pouicj3x(g}Qb4Uzd1L
z8oYI}viB#<8FipP52mvnlGvSy_j~O(M>63e8GCMiSjN#Iq8zT*;W}>(lj`Ke7Qzb;
zo*lD;m1m2(8ek?(2Ek0YesiF|3XWKLO8*f4r+e*19sH%5=6)G$si|Mn0>@4|mXyFw
z?1d6-a7kj?S~VPVCu)B;EFk!csuC_=`jqhorlk_pZXoj6S1CjAc~W27=kUOQFvBRk
zlP$NP1(q)PNcIUfw^SLZhj%oczrH{?#D%L3*3$TJX$uZzQNBpz<m7r&+pvnLLwYM5
z8Bf_ySB~e8%BR*BaEpC_G9&EcLQc~TPjE~~9DvPY`b_FzMShE12{<5PDf=Znb?iu{
z6kKzbwW<leGE~QQ91d|2|JwnZKTP>%1)rCH>q%U1VzA_8TX@H=x#x}WY2jDK?y%U}
z-}klfyS<nDJ>kU;8WH099y%ZD@`c@2m`)S*&O3(XZ^0d3d4q}eMZV5F6$-QZ^WP(`
zC+MeYSs47UNNlPb_I94kO@e*)3G5>3-&Mu%q`+pEMAduYqN^9#GvO$0J`1A$oGNWh
zHvGGOZ|)$RQD=3d3ZByZGSdZHxa3VYz}L@zFPno8a=DGR!r4;;uV&#Q^%Gj{umH&b
z?PvIz`%cw2F!`TS{(1NqeU|h9%=@XJ@E82>l=Go+m|Z-$X_ctYk$*f17q0n{Z^6o1
zjM*Px<Gc&pzu|0+1&&X!b-J1*SrX<`Ue!#?@arlr&u!#8s1n1!!iwXJ&nb|nojZJU
z3+}t}aF!JA*kJv+4bweH-bW2Tp#SiNyaLY)W}{O?eHhil3-quTn*<#{JXGwZ&IW(3
zS>)dhH(DQy7KVM^*-{(8PW9Zk#bMQxY`l7~glNQpbFj5E<5(VidN5d61K#!Z*_TJK
zSfi=EIgCF?Iy41u@4jqp2b*+RERMs&Lvdr5Va2SI2S31x&+ZR6!xGoK6=vXl+ppE!
zU?bn$@CEp_!H|*<+}I$Q{t=!LJ$=Lv&b~aeZylzYG}spfQ`3CW{04ved^aNo{*>65
zxB;_0&q_&zpR>q5S%aUO&obPD`#Kp{w&0qA6{-xFtvrhK54`{5k-#k2_@0UKj%4ER
zP0IT|hItnIjY;5xx1xUJ!%@F8vnXL@(ic@<;Y+Mu)=M}({-mJ9519Vku_r&_wkW>+
zn{e}i&^n@hW5yAge_;Qpv!t8w<Ndc&$tv-Dp18wGTo1#xZ8!yd{tQhPInMv^t!)rJ
z{AWzFoM=xTedhujeD7622oLO**|I|9RUvY2e6W$Yn!sMzMCAG075MP9$bMef`es1C
zBW$wkG>0Huthr?B2Tvxm?dE}h+Lo#Yz?ayb2NQWq;T!H$cz|!wPZW-nA(u#oC9@|6
zq+xfh8<CAL=R)S#K{#7q#k&PAY&3g(2JXCP%C!n_ls?Hm3kOYw9rzCSd@7*SfX6sP
zx2W!6KgY<B{v3Q--0U+gEc2|#RtLUhkb6!VwmmK5OZ+@uwara=cuQ;X$8os!=_6S+
z*ink%AJIN5+EZNG@IU!lFL9W8?UT77{BWi}fDgW1?0(!F=9~A~*aPeF^541ye?Jql
zgB1=tlx5%utIF>8Wrwfs(|X_upVE91zyPaq(L{Q~+1B4(i24&kSJ=W~-wO_2bnt~S
zL9!_Lc7??xk;kt~3_OCH56jGx!<GeEh57JJqxa@i@Pi4hAJ1U2KWetb{Xdnl^IZkZ
zn)hvDCvp7o3ZVvgt5k1x3*$vM>k?BFZ1Zl@kOcXQN9+b2@E-FNU1Gd^-EHI02A^14
zR-lD@UcXoyg3sQFJ<S4d-q}SpK;)F{i9~<gYB#j|3nv_Exg!kQ_$B*n!t*(2Zi&G@
zT_1K(r{Ld93@rOd!V2C0aZtc1vEKH_2vgfW<bZu!MQn)s{aHV`k`=b<Xwp%HdxFR0
z_QL)<u4$;jTHNG%0`Rbaa@%?Mad2*`DC{@>w^0}74elx22N%Y@J$4Z`=DPahAUxO_
zE@=ig2Hx2v4y)^oD;UC2lX^FJ;B~u*(-yEQrFRS$+)-85W(w;ljVm+350Bv5h@9=W
zF+J?HSlVX}XBRZ}ZsB?t&gym9!E0yUz5fj_72MJ#>g7`u9{hkaTz6|az`gzErC(t&
zBjw@CuuNi$!#unve74USrtz5cn}biTQX4tKNf~m-C*d2>S-Ku@o`9kH7%Xt}^@J;Y
zzPf%_KV0f(JnRi;&-8P?fxmnUGWUXQr=<so`x#xEsv8V9kr{0^!b8H169I(78q2HU
zugglqVQ^Pa_bX!j3{GD$4~0Lu9tkXj)ftuyqhVR5Gl|6b>kDR>jetGub2YQ!{N2$L
zaqxe|MOGO^&Q@x32exx&<4K0ao1~Auf|=qzl;46QSoW24z<JZ|o44WAixwGEFh#ha
zB#~?C8nMs7)a}LIMBZ9=d)FGgcSNSt5ALvv^!o+hA#Ys^g=+*f-FH>t_nEHS{ucn}
zFBpENfcdKzEQ!xo#+m1H^svx_G7qAD@BP=NOz<lTsoEHL?QqluKKQtJ{d5@YP@MgG
z53G}SN+=FK^_8@BKV0{5Lz<}9Aloe?1_wo5yO{*<ZS<3tgnu777@GhO**_>g3fqxC
z9ZZ8y_Lx0VfU8RxekZ~c$szxpg(Ks`Wgo!dqw<Wpa464|?LC;g#U)%HuA$K_$b{Et
zMEq=EQ}27dsjwbtvXecm-f+{n0Di-uV|@)~>M8cmfwRuVjr+ha1$o<u`$ze5dC(u$
z8!a6n?q68kA&nq7!Gw2r8GPU4vwR#(#d}PFsAsS``aA)SF3Aof#zT2~TtzDE-mou?
zc;1YvzdMi)-}H@pR|~61$n1Lr+x=krQ3VUC#%AWiKPG*S5#!D1@t4#>c%ptywH{tE
zRAMfHmj;YuTj7tA4{595ex8BsW|+F)bn7|XvXXM(E&RKr;a4+!A&5q{7miQocWs3a
zoOTQufsg+Rbm)RBPK+lH!u~Y6CVlWe-FtgJ!faQo^+(|IY1>EM!z>+1=O$tKht)5L
z&u9FBEx8Zy_7U!W;`3Rw;a2+*?xpf%-+%{3$I8FJ{yX39UxV9E=^pqB*O7}l6QBQ>
zdv(I=u(3mM0P*=Zi9eCK0h6STwUOa@k+$M=hprl*&%~a;#PhK_evO<Fepkk)K;+i1
zjY&CRvS0Rk+sI9K%wOk%v*c@2iRa~R(^BVsFsq>K3sP9DN^xEU&i0M||MS%;Z0d^u
zoM(6bJ1ugphwBed!H@ov&a;4x#jib3fTc*U)|kSPySwiw!|$%FDLBE}MVb+saBr%R
zz5{HnxJ`Ni?#{fN<_@Q72K_aF<Blg3y1+^oZQfbI2U-%E<KPOPl`(txtbOG`3@mT$
z+T{c%96D&80h>hpYx9JE@}GCT4`0c1j1Gr8{?MgO!AnOw;{)Lb+nZrC@L{L@UQzId
z{hM^sRQ&stokK1O@Yl~%#s82`+)lE(2mgF1e}VzIvA|i=44B$QU7Z#dBNH3Sf|GcB
z<5=N!&WYZ~@Wl%O51HTtacwFEFojt0JQu7Wa82<U?A}ql$qvV9T$HMUM|jCY_QA4q
zREHX1eR9%dA=oly`$;2A7A!h(0M;ldfAk6#9N=FTfoIl=cwWOld{rbRVR|w)<`MY0
z=l+XC{S{~Ss4;k3RO9|pIMe=h=nVX1K)UEK?C#k6?>$UeW%T0&JTx1$xd>~vpV@f~
zP7_XBT7ln51l&=EJ+ibvt-*UDEwYqg$5|_j4fq1Xt&iv7%fp<;+py$-;V)IV>c#Uz
z^flNYG5($83%_5M6Xt=PDN|~_U>^zlOkTn=#sB=^2VW-h8DYh4=80hV^?p)87Fa7>
zls_8gSd`jN3%{&2q>qK8ulsW|!D?FJDVgwF&LTc)Sodt@?T7H=-c2S3_>aOIV>w*k
zpu|H8JINkju7O|ucO_{D{B%iMvKjvVGd%4t+HWy%jlUJ194=%bu7_kX)~*{?;ppHb
zt~c&lxo$5^=f4#H8%|y8P8oq~_mSQE3GWnHxjhb_V^E7A>JydrFfGAF$wqg+!!a`Q
z+sklFPENo&Y|!Kp@eh7PT@?Bi9=n;~O`3-LapsTrD*Va5m6RE7Tl(ex2PScO#KHj2
z=Lmh-f-gxwH{^i-b?=$qiR)R(NpxU^ck$|4Qo#Bt`6WECOtZELaX(aD{F}MpeFe7%
ziT*CUlRz#2-|7hI<$!74*l_Z}TB?mI-0)>CFSC7c{rd*RJ+Nf6yo(Tg{m<WeK{(|2
zg^C04UxvTcqHvW8*DDb?uSxc>IJ~taOd|>F_si@%1?$-sND%c-kHWG}!>?H@J&wY0
znW6WU;4e2_Ll49EsfJjUVNIj!ohRU?fB^<gcu3^Xq%_<dv@b#%=9fISM;3nXDI8(|
zQ(s+_lz}Jc{kM$ZQ<*E?O7IWgTN{>es9bu4JUm}C;bsHh%gTJC3ST)nWbFg9>c;IL
za%B#g$s4e9cB~4KyCh1!4Ttqb+OI0Y^$A((QE*Mj%Tjgtqtg9z32@e`VT%eZH9^;u
z2oL${Qe1#DgvqKN!ZGD;qC~yvwC}-OxLNs%i!Pk#?Il`B<P1Lov|;1+pO1<O_s+K&
z5}sJjsDvxFua4-$VlQ1eYvAik7Ch!~n4&RN4;-g9s7>S&!=HkB;VVL|NoKHl%aq?R
zoPFf@V`G?g+4<KfeEfv)7i;+On&!eXalDiRKaq=cEn0np{}a)(Bl3EsUW0$|zi7^I
zQ@G%iTR%xH-q*!!ciX}hS8ci};FDKPrmf)W-&E(Q;j{PT1Rda$^2?_<;e~>wvqXKt
z_q0lGxavbsq$A8t8C|*u_Tk!{eg%H0eMVFWUh><Taf5qp`1mDZb@|vGME%R2(bS``
zcbTJ#C+yYPk$4Jbl`AnK>La^v)1QIgO-5#1hietRsm{WkZ#zn^!7EcIf|X&(`wv%d
z!M0^w*Y)AqX(kS$p3?cl4+D6qe8D6T7BPDI!4du==^pC?2Q=O?bAj{Mlm-J}o9hmS
z*I=3F4j=ts^-!MkzOeKxjmsVQjRK8w5X|;fEFcQDU07@ifz5S)x88-tR9{skz+Yd9
z&&R+=84C|3!41bY#gbu{@>H>O`04}N(?tDrfGb}%9Lt~i>Jj{KpB48L_-1e6NEXZ}
zp_5nucg}k7<ii|Vim}h&^^Ke2dGO2S<5U%JqqKs1G2Bk_bF~-dv6QWP2wM-VI=_XF
zId1<hfGKRvwEx1xYSEUdaQ{u$&VMk?yi#s9ESAJr$MPJ{tN+GEQeZzraVd6KJvWAj
z$YZ)_4(*2h@~p%&VE%pL1$?l)39CENo^MSr(~iP-#C>uez&qPlSdYOjy~2yRa0f#t
z!x{Kh$>&X?eFDXs5pwXx&3k8_!XvIjA<A%M+eNJ>u=iuCZB>}!1!-a_9L3bMY5@Pq
z^Qa`Q=gyTs&c<-&)Bk>#!E=nmSFGTF>TjrtdP!3DIU9J<*HfzozAW&4+5x^1B4Akw
z?|Ld_<ODx{_bR6WW<AHG=Lx%MyH-AjcU(4pa}AytX8zp*FZxQq_JfB@s;Qe`aj6i+
z0NCHkP^$xe|I+eI7+msj!=erLV=J$TfTR8I<@CVYyW`5^;4k}+RCdB^6!YSDVba5W
zn{Q#6$kzR7@EwKA)P3-Y48Pr(@U5TecV}Q7L37SLc$cO`&J^5mTZrx{%=y_|d<D*>
zr=%={lVd)gUV_t`C;nE!b*${|e_*xqEx#IIVbb)G4S2EbuzM3spLCFi^giY<ja!%B
zz!7Z{r-}NNoy(>JaFCYPD;ne(e+Lc5;R~Ma!<2BItj^m>_<n@`e@yUt>B*iC#PRH}
z#pq$b=z8T(@X|$nS9aLJJ6B;D{-xd;zyf<Li8XwMU8^<Q{v(dpVyjt)lUZwrIN?y!
zEXhq+@Tola9ysk}q&P_()~l|MMR{Q}L)ixuutMUA4Qcql7Ks#km?AiZ@+iC!X%)i)
z)AVJ;E5Rzibi=vfWQvV!dD!^qv5h@&QKyfKF|2yv;LrW=W3euO1DLEbU_l(Ne&0rE
z58o*9{cse%6wS<K2M^H3=*qxXRsuiy!Cn2KW)iUD^io?etfeb8dI)abcbPgGmUCd4
z{|_Ftbs0;9sVp0;c;VoS%ex=In^&G*;(#Sq66vyFnNNDNTyTUci_R0+&fv@^W_Tj3
zM*b<h$9Ue74W2uH>~=ZqC)sUBT>r%3ajz=4xXyEi5stMqdj0}F@kj3?6}<n;W_~j)
zAo_TmsMor@A^8^m`?qU|I3LXeeZ^jwr}Bn2C)`u;Hf#j;C(TmlgMC!QQU(d@=)NNQ
z?_^-!<RrXsQ>=^V-_K-P-S1#)z3H>NVT;^O#szr(<1;mOxVXoaWC<Qpv~45KKRWhB
z=_l+abEK0A?syV+bR8b#|ER<Y=kd~A{|5&Il&I3dM-z+fNz<{uU9xOtfIB_Jil|`v
zGU3;h@b}oxbXs_+LiPl4{a-Nj_QITfe@+wEZ*%^g(SA6hm9Ln{Uy$kSlZP3PzAYp2
zh{bR0O0W}I04LF2jYB$4PH=+!I16z-DTPIT4)Esc?|;Iu{ZMdh6kMlj_L~?l>Lw$Z
z;c#@r=&N(^@yWyICtxj0ofZxFYw<PHQFu_RHPs6KDP85y{eXDhYbV*m6iF+w9Pr6#
zC308ztR9EiA-HpWh}0Y299MA?hig)%e)+<FbCm0+VIgw&pFyxz`BCyyaFLI%b0|z5
zo}i`(ds{F%M8jS$YK`UKn5(=W@4zH4*fLe%Jd@FpNAOi~k6u|=jP;vN9$diL#X{r`
z44G%^;PS;?N<?1jOjX?in`mq^8p0KK)5~7NzwS})(TDHP{&?~RZlll7w}a18MdS>@
z=Gld{*6?t_m$Y$Mf=orh1LhkFO`e5cOrF(og$tA$nC4&-v-o5mSa9hg-4e``8JXt=
z53uy__y#M<?ml=Mepl<Xy$)->W|R$vZ%VJN{ejJOGurRMobM99lhxyX?u{OagI|=0
zEKtBFQ&}yu;Sa{$ALwDK^1m(_aIwGhI1Aj)7_d<c8;Y|IbHncL)|7>?Ro=^PKKN(t
zOk6!2e$lZ*7<RL1$f|`YD_<*$z$+Jj&o#qd+b^Wgz_NTktVEthEnFrC|J^DzByzIo
zt|Dc)EX2?L1$?lOm0t_K;Lk5L0$bKL{&x}PlK7-F2unp2Fq^=nR2n^V@XHiKdTaRh
zHtp0bY_QN9a0L!d%E<o>KM$YtxCMLMZXEp%=gEhD3WdL>$>maKpnt{Qd?s>}p7<m>
znD43ar9jv`ync)grc-CN4u_9QJ1jE8Pdj@CV`1&K_myI>#(H#LGE90uqHRB%_}Ef0
z1MaxA5ibufnD3R%g;i`*vd_Tc3M^%XaF*kilL34<bgHNvo{3NP(}NSlrE_cGWBh}=
z?BIsrOTpjZ2@U!n4Ol})bo&R~x=ZktJ}g)Kc~Z0i>#=`c^2GVS7cg7xhtHgK*ph<n
z=3bZ{gnflx(H?;l?LW;NfX#=VcZkAwl8=m@ge9*y%nQN4I1NpY!>f-hAMwBntw*&q
zU{8Y!{VZ^8o$i1d{Nt2b3=KTY6Vz!4N8Foux(n_<W`E8ER`;0sO7y4I=s$UDn6+DA
zo9J(gn8gNLnC|UfMdEy(#cY-CaN5`dE26&eHpO8tcy94QF46z5t{vJR4ClYu)ye=%
zxr^k4!Y3BVC^_L1hqdnCCH&M_n7BVPT3Q^*Fm0cn12<eU<wl<atGlF!v%)ca*CX>_
z-Hf~4#P!J!Q{66tmpPwJaKQ)5*vLv@4);7h0eJUp-c}V%t=A~QN7$hHdM$imq|ALE
zar{3OuO>K^zdexXKLdL6?=A3FPfgnam|7-ap%1=ZHTXdoHgQR}9e_!kU+y~yU%gsq
zG7DE9={+j~`-$w-`$Qa1lGk$rR?14!T80Omb0($X<?P0;uW(FG48JU#>pa`C1q%-Q
zogwO@?=s7hyukhin{5y={<I|yOVh)pLP}YuV6SUe${1k}=Y4aEu)&dyA`ZBVpXsL@
zOhM(D#{=u>4BWT?leF)8C<y;hua3}!6ZBMhh2g3r$vqe0u*eB6arl0s*Q742RwkHy
zkT^b1hu;*IwycVmhW(wz4;sM|0z2qWz>)=&9#$~DN-~ukoG~^XXb#Kd%!ew#3bHkA
zmtZOd-#}G(btq!c2KGGOzoia`*;#Qq!Xlb>n>w(Mjl{kyaNl&Jmp=TPXXjNn*xpgk
z%@h_5>b~v_U$|GkYz`;cWi?!bU!|)o+QH<Kw%s1^Ppd*Zdstsqn(-!Vsy<|T4JMIz
zCQj5(9FZIIfp?z`aJvP!atsdo!v>d+1^B|zX^IzuV4WvBTZ3V_^^x-taNFVPw*jyo
z%lX$)aC&+Wdjy=anNa;0wust$!4IZ7&vLW?e%iQ{7z!USe=ghzhw;5=BHHuWROwMO
zY<xOkCy{Hv?#<|crL$RBf?#uN^Z&Zww+jOoBjHQuKC{1t=gY0_!r+eUes>39)xCT2
zV_}yes@MrQ&fsZvG%OQzDtrchIU*?g0QR2l44#LXFFesmgLn8BZmz(`O$Is3;dWd3
zwKdrA&xL)Zu-p9ww+*<Wo$_i8oU6oig}f2Je`5A4tPH04Yx`vfT-2|iQ~<|l1bkqE
zgWL96<-oUg_FrOv-@SC-oerD*n>O1G7qY3HOoo+>?vC@p^TWUWGT^<F)bBXq5b6Y%
zY&fOyg~@;Lh?HV^KFs*!uq7+Zz%-gu2z$q;8F9gbp(hVCz;PGJ&6(lJ{cm<R!9k{V
z<3zodyT4TjEEXp4jt*X_XVmS2)7eH$7-4_cmgE7rC-;OU6<lI{A$%CFuV0>|fvo~|
zbWg+XW$Lp#;l12(4YTmXg>5qmcs*Nz^fOFfWN1wSt9<DG@daKUq<KdMpBnO)UW0p-
z%I8<npIQ>pTz_C@M;qH;@Ph(5vmKe34+T84|3>tGON%Bs{9H(+i|FrI`CX;j@Z#+E
zS48_ODXzcJfSK}`o^!za<VAa&VWDg9D|z8Cy5xzg@PWbL5<ysU?}GJBcqYf-sVJ;^
zT+{73T-iUfM-o1hD<_ix??3Q-_X)UmI#Vqcb{bP)QiNSLMT|<}m*<4&)Zp*O11}fB
z<lMi>wP32|#+3&6Ti7(&MOaXoY3n&0FOfax3=eFvWYc9~{%8AW;WB)@t|x&J7HfEB
z;R0KY$C-)1qh||j?BU%3YFY>2Ri0WiC%E;y*RTvM8(3g<3HG#*=#YiYW9m(=5<X$1
zr41kN$+NJ9Ib9g#bzw95dZQ~u{_JFj4O}gfX=V*Glzgkb1kYtw8xZYzW5g}*4VNX~
zHL-*Z_<AL8z=k$iqeT7h9k$nk;Mo`6lP1LRZtV7<u!?WOFi}5jDEBo97B90NH-blF
zzR#q<U$R{dOkvXa+d|o}|7jT$eK^WViaiHrk~7jbhOZ=8Jg9&dt9Bdd!sF6(vDI+H
z>jT3?eZ1krw~eq=?w2u5_;!v)YYY5&nP!lv4=49gAAs-Vw2qvIFLMi=9)?}U2la^i
zQ(;^kFbzLm3pZ4O8QCq|XJL<!0v!$bY-PmecewF}!NqfM=<!2KtMJ`3H?`H_^K!=S
zyRz~7A`Ak0O0aX(whbkGlHaO}$lpDzm)HZ7DsH_Ya@}Doej%8~NckMmo*N7QEy=*5
zJ!7h8VfmfSld^EnRjo5b`>Os?E?L4!kB8)m_9+OKOxnOVs&%-D`@441>dpx4LH3Q^
z9j?=Qnm$O>Cml@mg!K~+&rHJG20d}U@Etnul`)tyjEVjhoOJ!q;rDR(cb2Uz`0Bph
z*9Tzo50`E{f}fwfUq1n7uvIuV!kVkHYrXJWS(eYuuwHM?@lm+_ZU5*TJp5hK|24d~
zQTF0I{MjS7r5|=p>d;w%pXitMy@4b742PCr(N(#aSFqeS*;>ISVmuw)Du%hsTBU{I
zGRt(iYWV&8lSjniPSQxt3i!TUYw1DwdDyr3dbrcCB>y!0Zg*o*6+B8Jw@(hXEfo0v
z0^UurpI;M>-#trP3*Rhhe4q_Ks*u-ih8u3>B%8w{B;T&q!H(w@S*>8FERB+vaKxMt
zoeTW5eW|kn4jbu=bc0{GoTDe&Z+|>L*dL~J9~5bVE3_|?2Enlc2b?<Kx|P<gaJZ=F
z%Z)bp=fi8hQLxryg%>?=U-d`t1bDpWUsoqQb-Bwq9S*#uHns%2iR-v0!OdS2x>n%p
zDbY(rK2jK#MDY;&ktI}LiCmeYFN_*)lZ*PC2AjQiqyG=yK1{lD7gpa@OTr5u`V+dC
z0<WnUhe^QWuU5ar!!}2=t{;ZKHdH$#!Vf=wt3Lr>U*6*!1NZqHEs=pUNb;``?cMWx
zNJ;|^rlxfwuBStvbH6rRoNWGy$Q>V1{;-GjzE>|2x!Qu-+*Oz^g3X3#kLjV~#UZfq
zQM*ggu&eovtT6cI$x7{9_=>Kx{5Z_yv8bB?GicWwnSyEK9Mzw|mC7S>|KQ`XiJIB)
zRZW2-q>u1E!`DnL4=#LFQp*JE=-txDgy)hrpR&U4K5D8t@Skh9CHKMy#ca<%fS=L#
z3hjq0FYvx1ay`ea6*>5-p2TY+H(6eoQG_YWhtCwiyvnB!JHbppM&uvCTtCAEUE%si
z6?H_eK&rJI4%3j;)jWecevteLh4*FE6*j>FEM9l2VRhl&{C3#!6;FBvys%S_XAF+a
z$#Y*JT+7Y(7Pc87xBCtcrCO&FIfwBR3F;i|7iAntCvwMYlzZslz(M<z5x8l{{qb&i
z?wREMKDg+4e=0xxlmF_yA(%P%6#rq^azs4s4V-!?mH8;l>whJA0A{i#OI3nz)9+2~
zhQ&tBqm<!|6`Q1fxXHbp$q?2w;7sX+U7rc;G=V)`jT3v}eU*`sSK-IcDDHK@4)t?4
zonev-B5Ymoat~+IHJE&@pQ9BXzUf+a9gg1pGwBt~vzfCN2wMu>OKF7jwSLcs!1Tk_
z>@9GS^g*#0xKP%Bs}7zx8ninO4!GfcuK|91yV^1ZW+8c+UIKqJ)IXa6Z=C4hE`zU1
zM~COZ3;L$JpTZ&3BRBHlogYaOtKm}@=Q`iQvZrn*m%<PA4>t_K?__^7*1$JfdTy`4
z-g90o#QimX%6<Jiy!LA~hRCZ~Dio-5@qXm<r8pvI{zM{02M4S)MOVQ?({^>c;mTUE
zSfYK^*Pj*f!}AwSLtem_*oWnG;PnoYpf)0}4A#_wYfVm*5dBFxSsHHuAL9=FL)_2n
zj@yM7;P%0e>!Wafn#eaJxZA(beHk7mCF3G;(=VIfzQW_|`%Q_wp6S?^E%>6HmbWg<
zniu6j(v1D&Aou4cFlR!W9X-sLA2Fm4AJ^P7#|S^^$>%hOTS*Mx@xr7%rAG|mCv(ru
z_P~1o<LJKQx%&P%fQMw3nP|w&$jqvg5ej9LP#G<WP-JG4mAzN?R}r#GMiQZHMahT~
zNg||3M!(nj{rP;n51;$F_uO;NJ?DKtXSvhm0z6t^Xd(<x@*WQ`gDu6L4T!>PE|#yZ
zzz<^Q-|mNhbDjQt9{#0x!9Wpy>S8Ns1uqUQ>mPx+=RfQt<-hXTb*sY}E(^|faMGd7
zwo|b9vsckqVZA~wEkjsOd#LvY{7azxs448hp*(5}8%awyo5Q*t`U1|d==z0vTiE^y
zgEA>^u<xtV4fuoOc7IpcEztXr3)~aq5ak5x8`C{?gU4OHdpzOQKKUm>a2z$yj0>Fh
zx<&R5EWIEi<pb|n!)sLV_e)NPNqI}<NXZ0v@4)TGaM;>bNIVVJjc9p&2X<qz5Y2|Q
zCwq)i;T5F~!ufFbCl-q&c>96e`vq|G5PM!GOgXHQTL!;Ap!YZp_Th=oegYS^=^uOu
z4>rkUK7+T|1s*Ga&28e-UckYh{W@!45oU$dR`_sh>0l+igJFiV1HSU6XjeU~xF?#U
z7f#&uUi2AE^;|pQ9jvAM#;zIO))f^!2J7tS3V9B9M4n`tfQ{^#+h4&|{tJvVFn;Bs
zzX{GY@TdO?FLH94zk@#?6QW&)H?2t8^uP}1e)!P8!23#VP0Eb-(cfe$_*20ZuOIJY
zf`{LI_o0Oi>0_&Q!{2_2`%}RG27C+o;KpoPij8n)(2XCW@GG99RBQPE66+?T;;_Y8
z9{+#vi>=26<l!?1&j$P<aXGnd2jI%peN-#((@KGJs&KOMRq9_bl@FtiI{Y|HC14Q_
zwOx%m0eef?2hGAIL!<tBFxMP^04Z<P*Fbv#-u~`p2ss~4XfCe6=j*g-zQNNguF}`x
zh7eo2&v4WwBLN4vaz!m<9Hv@5cJ&s#U&S-L5BAMmJ>dhVl<PALz>>|gQNeJD*wxKF
zq&($I|4_JESTX!9{5ZC{ITlXcs1w-<pK^_;N`NQ$7sE*T8&yt9_u)hDH$=9>TP=@C
zKY+(PgXqciE<Mfjw*l7l3T7nrA#3{QbQ8Sk{!{89xc^MD_afXp)=EW=|LAgE*a94Q
zFW8rSze6Pfry28*|8@PY_Z+N#Gxs7LJoU`m^EZ6C$@ME2{NYf68@axPXYwi7;m~cl
zOVn`H!$|d=@Ikfe-;D6ltgMry{KeWzCnosmuE2O+_>_6)O%B-6IX0UcUUq&x&k3L0
z;XJ+v7L1&j-3?3hd(HF1C)9sj=Y#F<o6Cy9Ur%t^NWm-imvu>bp4|tm<zSU7+;8RK
zkre%_hv3MQT%$5@#2c?Gs_>#nx1~DVej@p@CQN&-$x#)iGG6$k2cNrq;?Oym%Z%-#
z5&WX!pq4TG^y28b%dpia^CVx`l7{i@HCTsLJ=Y7Sh)wAAfUkQ@xmJ?DpYDF+54USI
z1w4kQPjs~1g?Z{Dd1&(SzC);6M?7q$QqM*YbGLbGr@_vgj34;mVgue232@r&!`*_g
zdC|T$5;rvtN>YNy{My?|{OZHXP*pf`OK@8%d|vGk^C{T9hO;9MZogzpWe9(wIjBuO
ze^tM%-42fZ*KnMCzP`z5ojrWa@<%I)8)@(d-+^-<*tU~+%s~V9aJWnPU|R~@CENQi
z4K_Pl)*cJnEKn?D!UbafZAoy5v7cKhd~WB@_GmcxW3kO6c*#IUI~m?VH7(NtGe@Ny
zkAW#&xP-dlv!A}Sl6Xpj!R%M~x#f{|61QLQ{X7K=s0+3w!XmXRS65)yEcf;(_`;Zw
z$vW&Vtk+78FXslA<?aXQA2gEN$nlx{cl0bDtTs-qMb6LhN>^S*c<#7{HaS0w?{e9d
zU<)%PE%N!4NnEMAa6_t#Hu-!;AB~8UaP+sETIBQh6jZZbf}>Xd(<YxEV=_*C1y-x#
zYa`{4`(<d_!3LqXI&Q<?s=rG(!aC#sPWZtaPfAW-gPE&Eb=_h51ig=>{KVLs?wc@g
zDeE>v*h`)AjSZZ)RgC@&ytl3Klm*;*`HQMDocv_jzzqI8wIq84X89~@cm`h2wkwf_
z{krXpPQnVd?m4pX-*&TpE!a_wZ*T{!t&uix1U8fu?&OAbuPqK9hUZjck8Obq#}z)v
z!_*G32U*}ehs<GVxa8{6;|=hRnXwU3cy(Ytj|%=ddghZL-1zt;-vX|Ow|UkmH*9e2
z=+;G;^C{mL7pyFj9rXon-fuU~3Uly9`%l96m}Rdp!}YpPl|K=0^s%Iajf?K>8-u-R
zIIT$kurq6^s0V(qdc~Ub4;xiKWWIwbuQJ+@{$Mkg$o6K~%*@Po9@bf-+1vtiNU~g?
zhVNDD1y{mdbd~laFlW@d?K60OPs%)LA9=WTi&nsazTbb6_PAm1+|DZa<Dni$(*8<}
zY#A(pzcLCsllC{maHyjkcClh!Y=NDn{@f{mcaA>(Qv-|N2)IG+hYHKQTU9Xa$qcc4
z*o0}>o%H|uoaVa=;XSf*E5&d&pUa0FSl{5tS{_`hE8Tq$KDJHC`yTA=cPu;|zA7>5
zn*@i6lsWuIymOp_j8CpzZj!hQUt*V|iiFR9yvdsZhi4xO2!o%f28<-YJj{`S0q|`;
zi8smc^+Tzf{NZyC4@XABaX%I5oZ!B?0LMi5i>6+v13aJ~BNYkzL}!LwgYWoB@W;SE
z11lM=V75aCK83&<Ka7~p!6#=dn@Rb)%`VZ#@Ya&+{z0&>M01QjoG<y$iL^ItGn1^k
z@G=+mK0kPbCTOb)OliZlEf{v0D@{BMr<v}2>kS7_ttZLDTg9_plJfF5CAef^wPV@0
zZ^2u}JhzLJ@}4{{p73kBvb$vbYVmxxj1#=vbRuIXyvdz~(;cqc8nSykEZDU9ode8u
z;T;bfY^UY>ij<$y+nPhh&l0un0k-fl<3IOSF#hJ*Tw~%4v#qKMEyFaHrJSUFJ#;%$
zybs=Pd+V(SY%io$M8@}5t3$R0z;&k^iplfWjI+op`TkRjSH(NwOud83v9O~>h6H(@
zI+`3LO|Dm3l=?&R{J=Y$<V3Fjb<X=GH88)L@L6*G-Bq<D$n%pGyJ8xtPqn5_lH_^i
zg|ts(F<i4{TQPaQk-Z-K<_Y}e=fzU;yc_Dp`lJ>v&!Lcf2wy!awA=*S@hD4^=kN2S
zcZb{H)y|<3^1Pl)UCz@BANs;jPUZvT+qP2=z`oJ<q!QtY!hM>faF|D*j2|4vU(HS0
zZ{?J0<+tJY<-Hew!ln{_71v<_b*25JJ-<}PB<lb(`k8o;_GFy%-+o=#MX^(k6;@L9
zsyPlPoGJK82P-dLd?pV|-fCzeasRj9lw{#<&(uJAxXraubvJxvHqwL*rerj1+zBTS
zT;^ne`}WE=Z-I^cG*_A7@~N()jIgHT_G(%<=1r02I_A4>&izOu?IG*a6KyN7^whJn
zo8ax%LLD>k^F#iJ8DSN#E*&yIc2Y_AFFF1`)u*~-e$9wUbefb``fd4o6dpeCE1&dN
znP-)IdSUCmnc*7|FI4zx@CJTkW~sG`xc~d%({1GMz2y}D!EL7#`d-0x1AmuDdn#w^
z_r4xxI^X<l8LkXDe6|jD9SgZX4?o)`dae>q@6=8H1-tf64LyeGJ(vxrVeY~AA0ER0
zTHhR<g&E}1%?n|NtQacN|7JOzznDm@^Q@o5(*q^O;@}?oTL~n-MXPnf6^?!`Y)abu
zw7a=h&hXfgkDT9Ond24L$^5D1^2W#H_}PS8rpbKlVKbv88hl@4n#lzkIBx$_C(=Jh
zFikkn!{JOERidzl$^jR$-t$xC`h`O<v$yu2VOS`aaTn>&lyuhr^ufXBFK<zR^+nk|
z$okQS>3?k!aJoZ_M<*=Kc&e84hl?|x*V^EjhG{nu*!p48dLuk`^x!oycw_4mU$TBR
zE!ew90M6K8>sJGpFzw_Ng591*QDH0bdRop$Z%KctVxzIK3{JLOYUYKFo9%*%;Umf6
z{#>xZ41X|LKg&MefrLTyXA}B#_u$O?=cU-;cR@7t8E{8kD(^P<!tMj%cVS*Nu@O?=
zIuz!@<6*w~OWmaZ4ZE?2DHeWf_cM&t{{tIFn8<ovo}Pdgsei)nIb%cMCws~dkovUa
z)9YA2*u?ImC^_E;jhMHR^}u#Jo3H;LFTHQsO4bXtx#IgN5O>~cu-y@st;{<~>Q6)J
zmL0Zm;r+HFr2eE_I-70{i>aUbN3QRo3tKZT!QRRCb3b62R~9@MVC(aXMH8^}VP4*|
za1tkT#y9w>X}jQQI7V&THqu`7_l54!fnTcZrTqY3B%=cOLvB$MX<x?u?mbY07dF*a
z^ubQ*mc>f2zHN=fOL(`UNQnY`i?wNYE4)i1N?HzXWK;c64<C4ZYM%uBj{9h5BOJpe
zsvrVa)F~c)1doN!De%FcHY+NS_E2H+V$E*&R?(w{hcMM!;isH%)P>@4(tjIvWgO;!
z3xox;N&lU@&r*pAeyF-5mbACO+CSAZ!g?~%x}-gB$<J?~hL4o_Dc^@#MupU=VB3yg
zE2RClm!DH##rn8j$>?+zT(;Ti)iO-?>(m3%A7>67YWWEdD=Mav{=D~Ov-TV;Tu@*X
z2OA|v9{&c<8buyUggf39=#RtyUR%`%!Vh^|PY%O>8;+Kd{`kvR`nQ8{V`rJ2FKk)(
z{w-PWui_6gzYPbm*c-orxzGOEPWr1Nox^9^;LYr<45Ys;IW;)=3f|%<)k69^FPi)z
zl3%bCyP?_*zFeqfUI(Y`uynSEKlX1sUkTsNlD2e&T^%ef%HeBze?~6B_WvndDTGrw
z>$<PN+{xo#^Wkx&-Qi|%*O4ca*)WIQC(jG;fai`MX|TC*#&12CS#0h{0x92mcH$Il
z>5%V0@+~GKp5$o57Aamg!{M7(?BaCbY^P<{VE8~7ALC(IGW(62FD#hXyQ&PcC?u?S
z!9QrlsuketAM93L;4gRj9~^{p&TOD0`5=1V1NcPYbjlBuHgI9-UN&)fYO)~E3O-rt
z(=7l$X9y0u2tOO-trvn{M4zKO5A$wx^4tx(iYd^O{FLlC7CZ91*BbPV$pAJDDEq<!
z7d^huq5=OY8-BSBuHPCGe*}JXM)WoloXne^!U=odKfQ++j=ELEu>&?~+;U9>es)Wf
zb2B_}oa(qF+}d$EfeAkSt1gm!zftS4L<%_ZZQc!XK9(z|**3xjv{xQ!z|-?~TNjbf
z^PkF*_~Y;fMW@(5@Tm<H{RVKCq-5MYY!GPEVg$eZC(HZ`rY{v`JP)@SerKM64-Lhx
zUW9Xt<|1a{fA*(TuE8HJ=R{7z=0~ce$apD6HILytETrb<MC#Y_+0%^U@S~a`3sS#A
z>dxGmfW!Bs<&*l$wVxvNBdn^vmQ3oeFF!TSXP9qC-G?w(c0HeF2;T5<XD1nd+S?Ze
z48uQpMwpXe^`hf}eeh!FL5fsZ|DG=80Q^f~Rh^8#m5zL)?18sy8p+**cf9!S^A;Al
zz<G<b58U;BzMb$*4ts0TJ~X|&z19s!rtEuI1@{YXU2lOGe+Q>Og*6{>c(lU;<JzO7
zJ-X`npGOn?U?TkuY0vHk=l*#Ke^<V^wHvO_7h8S~-<d3<?t!b+#9dy%AB&u|2H}s*
zr7ln5_?5;3!*Jr)(uHU6KhY4cFYsDw(XSGiBXy@aX|FXaA2^i5Vuqiy7hvB>-kXJR
zu(NRNB5@e^>_fQh?vHn*f0(`W2@7@T5Beq($#{x#@~vGwEZ$l^NXA<|BeXYsU?zQ?
zLh?Mx(6jWN<fp06a?SF?MX!vf-Qj;}$3E_XJynldd%-$+?EI4OYErhf3%qGXnQb3@
zF*$0&4ZdN&+4vw_tv4~@01I4`KXw=nv2XlD%2zqR>C%BMR#``Hz)Nz=b^36}PD=Be
zuwcha%CoQoosPK;Y`ky!rwMFXsyJi^-<PS8w}5-r{Dv&yPUYb}SK(88?az?>yn{uB
z*KWYx17&AO{@y9`j&nC*$J0@#uEG>&tUvq1%YCh<F2Jd;LwW*XTY>6sQhvzHm?ILt
zM>E?^@&PY<I&F%9-ClIHlJd_hSt7IH-?!FU&%#Y<;@-LN(BHS1BSZfll%(|x-u`!4
z<s3Y7>d}FExV5KG)&gei_@X%q%SFt}n!#O}ln2J)hHMEI5BUC_%a+Fq&>ncnviQSx
z5(iw=;dahM>Tp=#gi_!YxSB1OIu5?Gz>shWZhb=Ul?uOFRKMT>A64h}%7(2P80_8P
zoCBG^^5I+xMa3An=xo*h>zCu~U+qYkn{Mj=_3Lg|d1NB&ZQA8P>X#qIFYgpMI`-cW
zQop_*FM5#;`^-4}AoVMtEB5w7c;cJ3LlkUC(WiV5whZmDC-vv+(mCd0m~nD`#uFA0
z+Hv{`EVZ?9#u>hxtEyfNpIIKgM(WSF5@kpOT(RNSwQKMR`eRnF;KGskueR`0DY~L=
zc%<sw*DG+pw@_LSd}5c2g%upbJoRx9PBvDsAlKve#!at>;af*ejb4U*C|cPjU}}rj
zPlm8$&7Xzu@L83WL2|wFIs80U;jYx;K?9g!HNoZ|{ExH6*a#jyc&>z|5cQ$g#aIt!
zeQBFX4>R>gy*&ww+e?qJ!Y#|Ay=w45W8Fqh`1jJ1{!v&zf}MsJR(Nzse?QFGCiry^
zJYAsIc@P#1pAnUWi~j|6h`}k`3-ogEz+9r1B%E$rt9uxZoEOs)hPk<)D&famRT!-g
zy%dG*-v{_>!Ytd&ns>re^zN5*;a|blM@W9{0ey}8MzE6HFI7%hx<@hbEPPdL!}IO%
zYk!)-i*V$DpgK0#yI`f&0`~Y`EVlzzA2Cbtg2e-+<oV$E)0X$#;X|$Jj|9lyOG<w8
zhjTu>e6$z#pqE+pffX9J?UjM){{}WC!w0Wr?j_$hf64!C0vzmbnoiD-NtLe9b9meP
zAL%;qjie(AwQ%tc-Q-j7AGZ3s4tU6AEScPYcjb$_TH%j;`f=v4T-qL^LHNIb$v9F!
z%qf{H-@{b_0xYC{T-@0D;3K?I_%thNk7T(cS_fcf!=xxu|BOV`H-Cn6KN`hEz$U#N
zhe-U&tN*q{!<{dEd`DpmtuxFd|F-n$my&+i`g?Ii9&DKuzwinEW^pE}7C!L)Js*h+
zHB>Q@{$ST#e@hZ?-`%~r6V}`{A4rb(%mewbZkT^6xs`mrhGs)pAH4ELYk(Z@;hW-g
zq<>3kncX=F`-fK1eS!<v)5N~O-%g7Je}-w~RP1NqU<;)XlHXgpJv{0wtYrFxdI6qQ
z6YrgcBMnqG{e=UEJ3ddtmEUV`ufncUwtIfVI;O`0s4$*Tlc16R3D3m0P;7!H3vzG$
zg&VyMD9QL_hEeg(68yn<z=w=a)E@P9{3GRSEPOd&*IQN}R$)Kc*)=lW@zkQ^p)Nvu
z#q6=Z8y<CxlB9$`h|+uV!I5@Cj`XmRZ=$CNEV5eSPXkNP)w@c-rz3{wIN>4-JvTY{
z;CXYdt*~qFx8Dlzlf`+{UGUEQTZ>9?tC+p*cKG&S^}HH<dpUMN6y9BN;wQ;Bet(mJ
zN*I3O_Vb1g%$A>eR0{U!2(&*9hXrmi5{Dn=f3P_VKaLO{J`5XDI@(@<uM{UvAB3m3
z3rvxGWL-aADK$7}re?|-=GzpetOA#v{(RX1W*_3GKMM=gcw4x^-2OpaM)0rKYv;-M
zweUzxmL;ryDE&eJ{6XwT$z^zNt%&Iz*y-JZyc297-eDRIH&7lw>Hv2L%l9S07VT}!
zp>VF)NM8orwtWXrFg$esPS1a^p77SZB-pD|wzmMTuQ~rD9zMs(eDWcz6g{|{22Z6v
zJ^2`Z7Q{oB3d`4f>5%+nj&7Fd0ysodOqV=AB-5VC%!Ajc**ZvmvV%v<=Mq?o=0!&<
zyvDilXA#`}KDDI_rb(N2dj?mHoM?Rqhk5da)WAErWSYtI&DpQiOzrR!!O3QlzuZAD
z&)ovYCr?)VhCB5#4$wcu^N_&qiXZU2tgGl|SZ?#NhkxMeKJNVzaQR7xqIvje^B-Yp
z_<e48{vy0PsjWm6R(o2KNAjINpZG6J9p=;M`tKL~D%45H5VjYe%9(*{X-;sSf%B;T
z@{s2@@5;v}7vNTH7M^eLoxwXNF2gUl_U$CcQ(|J$>j;<ZJF?>|Jf|Vq<N`<c7sf2W
znHsWNv*2Fe{Mf(n^NMo<>2R&hOJ<U9Z8BJQ^&Z?F-pH~M&zqXXpImZapKAIobnxBy
z+_iG}!Y6trl5Z_hSkG7r@8gq=V1+;0^5|E=ZyRJIxnPB_3g;`}4fifFlKgA=o`jrd
z<nNzd-c0hZ4NCLNYTz%biD80pQq#uYFW}Xlq;N6VV-wrPdU*6t7d^?prdGE*)&dt&
zzG0AuAAWN&YKG@q8AJEOuKL|6o$%EYOkv9K@Y%QdZ7^Gf9v#WQp8O^{-2=}h8ZhX?
z;#$J=r2Hm{yLV2(2Sz<~-oYmQcf-hh#5Wden{Id{eTwcf{JX5W_&prPJjvhyGdxc0
zcmum`R0<{YAIzrXOoOnn(!K~XpYrNL>>(0&o{3=~^DXYPLp}rWGrb#3WPV5a;(@2+
z^YxDnMLd8{R(P$G&(Gm`6kP|O8yXTNara(fCNjUYv~}lo5?6jf%hC<^1g3?N<FoxQ
zFzO9_sAZsw9N!qNb96s^^?uy&Ti7>jaSO?Z{>0MFGYsokPcVIk8w~;^$?;x@u#Fst
zwI`q5{0w`InMQqwzeHU3`v~v7?G#S(am@{eY35*;k*g6TU-yDy2*(V3b}Bq{6^{Kn
zpSA|KY2OYb`Oxz$Nrivme=jORXyM-66={ZIJg*6t++l)4SnjIO!a>}z)Fgk`P(g&A
z7v9bhvx(&IZfI`c<c23MPy2|%&V8v?$6#HWMPF(7$PrOjb(qfPqPIL8Hgs$4G<=)w
zy3b)a<_;C(DOh}b!t)4hNT(Zn34Ri@=%q!<FTcq;58HKndXRk5rt{l`?BR94C{L1a
z$`_j;X9o|7@w=1!)Vh&(Prcw9<NG}>!s-UPZSHW?>VO-`$2|~qM?VbatNwY*4jw+V
zY90b-C}q2nd`(`XeP5Dc(GAbsZjrcd=0XB2Ih(RX@-@9hs^l}^2H_`v{NaW`9*w*3
z)$<;U!SK&Mo%TZbOM2>3B&^|FI*<=HK050}=38G>e$Q!uxdObM)8R~)V`X*l*7{41
zIq+j)YlUuDCn4170URarT%!ZdlX06bg^#RFZutTir{4QX=6|EO_wV`)-}{h1R|^|T
z>;Cr>4$>T$Z-k@clgeh{)Aqlwx5I+VCGNB(c)qdQYu^J`d;ScehCeq%e;<K+wP^Y!
zU?rP3(_i4k0+orq@EMgIBdnM|?>#tv7eDf=GFcb=kqb^}q%L>{f4i?SBn;nXc&IoF
zXP7_#APLLsHEB)5&HfIj&cV&&qEFpQk?$A4ewyTSYS`~>b%tZ4?(|r}zrEUGBH@Eg
z(r<6T)FMrpVeqAA2YQ`g=1MQYG`QFB%UciF=069S6!^>YzrDV2E61Md2Qa7EgLlF3
zRdx1P_u<#i4;Y5RX~(DOO5pIflSVPH%7=H`ieRhX>_%jLqbkrZy%rwa^2(Ux7bX~A
zDXfM!bzXW;)=PSp_y1^sf0=C^Ao+}C5}d1b@O!y4{Ul$Fcgs`1ZrHwk^B~D*6Ay@w
z>VO}zn-7ruwR+8cTZiH4VvZq_Pqy%nntu@HxEFnv<lniUUbm+zL;lov0~3-zc;st~
z_XhZM^OnI8c*~my9U^dktx`Y9CrtY~UMB`;{WN?(3a|cMY}J8{rKAQX;Zf5{>`R5~
zwS2SxCma@5{n-ZYHZmL}>sd)t4s%wpQK$I1Rk%4qQpN#}%4RmD!g^SN-k8dDc*pk+
z6I!@T>fB3j_*-MS858U-L;KbP-t1#B%mKT!OQ*%dmEZI}?t;Z;`X9u=oZ*Mg^T45B
zBd1efs_ViRg<xh|>A#7vH`C^eV({seWS>0v$M2O(GH`LdTtqIcLI2~@emG4wnY99z
z`~A^E8E!l%$x{w@J{%cWg_l%EF4e#@Om8MM;qd}{`%0K`WMD!EernM6`xTt6-aUC5
zwpufyYKBJwzf7KmyFv>?-oayY!&4XFgU<UBdtj4$6yLAFJHGnu7=v5c*QRY@WmYPY
zPjJ_~mK|A7{pmkH_XnQ-seQu(uIaE@{|yf+m(P;**Q+=6Uv4SK`+z-F^CTawZLqPI
z0d`oi{uu{b#43)6!HN&vex<_7OZUHv!1s(_|9$}9vQzRffp@7*FO|Y~LNi0oz?a*V
z|2C1o&)J`z3SVWozDm}wrDY-tlHk{Fu3jX6$jDRSW+@!3UFb6iU)me!^AIlfrr$6O
zzp7w<Q2`%+r9?^coy=aH?JkGUX6E>le5vwVV=PbM_vY^dNd8#MjL_~XxNT6Gn&cC0
zYALx`4-2q3(=5R`8MD`)!Pl>zq+NwK%=}&Ggg4~ep(pu8->Kv%+F>)#wNR2@MCVqe
z)(ba?%SVv>qMP$G`mf<76_H35*v)b7-6#0YqD3?(EGo`3HVjXBUy0cT)5Ptv`T^hD
zpBpCtuY@0S{toXE6J-~ITNs-v7vLOIYYqum#`;^+94!26A(7-8^)Xw}EW>7ZWl|L2
z^6mikMVK}A>vm;Wbmz>_mPeTXZ4=vd6#n;T(>DhAo!m->4!r%=l~MtC`JYDiX}H(X
z?HMn;{g98qMR-?j5#4dvr~K_6D|mPG6An#yXY_df4cJa*ZTJHGJ4w0F1(p)r@ZAhP
z`f*ROFWew@@0U0Hk2<t882-+cMd1l|vc20!@>TjN-n7J%zi&S*NAg)7FgCx7fkpNI
zt4xQhgr?I9;QADnnp~Jif8aqLtj1yUtQb~3ar#jU{66t#O&)ywq0Rkvcp|%9u>h`q
z)jHV=3#)a@lYAu`)48qzSVsF^Wd@u|t<Ulq*1XDAdIvrt;W#w~SAQ6j3WuXZ-ia;1
zzWxd#u5eVt2kKS$pe1F&EqJv<RdeHGw14fHnPzaD!ftkEcrfY`&jt7<M~D$8ypz&{
z^Ek}8c0!UDwvgSQLe4*PM3sXGd?<Y^j$E(pl>Ww&q<niiJIROX;+aiRfQ{pV8O7n<
zDM2??U<S!U5t8tf)#77KxZR^Am=~6f&ra2af3v#NlKS-QC+n~gEO)1dn$)*z4&&Wt
z;m`**K_s8e{E!jrC3uHN-fdDp-(3`>z5-j;KBwk^k5Am{@Pdmv=P60PjMS3mb6;3c
zc55JsCwZj?rNGBJrh-X*Ev9aXON1lK%NS(g^5Th)&*9ELF<TU2YbJ)7TKK8KD;5nn
z;6vf!FsxBi!hQnYy}yNO2tIXAF3A9{`}MnR0oF6%Pdx`m+cEUd!JYr*rCY$Os!^jX
z6&Rm9OV1+tNnsUf_#INTSCu-s&M^9gKa%i~`Qv$>a1#>;wK!aRlusfOj?VOYX9;)g
zW!+2aXB3}ri#1%i%qC8*|Mt&&b=={c!c~z#*h)fN#S8APp%4p&_nGuJMZkdv#)L_J
zRfm0lWi-rXH1U9xZ{w8sn+yj_Hs1Fp<=^d{xeMFAYZfB;S1-Q#N#?>)bQuC9|7z)k
z7hfLSyg%z6Io@quy%r^K(ksUt@_pF*JB-WW8NFM%q<s9^tq(8Y^MxAOj&R>=hwf(B
zXQLJ$xgX`7TUff_*c#^D<bG9}eYWup{5Op)%K?_zu=Usgod2*djpPrm^Uxmr02^`*
z?6QMHGR}LB!zlqt+bv-ZOZ^*P;ow^-cS(C7ub*Ew3!hguNG9z?KwV<)PdNP9X)bbo
zl()`K{Do(S={U&!p(Q#rum+#`LZ5UVPMeY0x#<b!2QEB~Bl%+IAM9eHgU9EdvYWvA
z11=|7V1t)eSxEcTs%Wmx4vT)e8fyff?yn5m3EvZb97ggde_Z#r<%0tbmobw2EjD$a
zSQM7fbe|{rU0J0L8b{!C$}2aw!ZHWn1#81<uPINEe5vH-px@VEJsH{dW>~C&<IyEJ
zj3c?8^k2t}#zJl2WyN0QVz^iKhUR5><&fqfk{^|oy+P3u-b5SnG#6gW3;kmT9~iZN
zoCq_uW(||_8lNg<;^CpULU&DIpQ^o55%A7CMG@vOznN=EDBM^pecTA195>7Ngd1!n
zq)g%HXQe{!@Rxg~GX`)HbvzI0-)(r)d(OfttUofX;jI^TMxTUJU*3x$;|a_4muJcG
zC<rjJ9EX3bscbWZZw4{_BjX!J8OmOAe3^{_-h%MKH_p-I_!J*f+tb06KT^(Kg}=%L
z%`w1i1EOg+;EPmp-$?#Ht9pU2Gdv$yZoL6<nz}=cUT~!1MoTh&>oRex@P$*XHe6kY
z)g99h#=uM8v@b8g83XUd;$i#v)-h6km+Q3~X)wP%(<d?>tht?YF%zcwFXF;)_(OzT
zZXQfG&}I4qu2iu}EPyL4JIof~2)CFWPvJ9Go6b$ciwn)0>)>CqG$!+;e9HIOE?9)}
zpz##^aF{#r4a_6o*#H0dwRb0`U;&lsw<I2%LaRIjvqdtz{{`QfJ+8H-5}$umxR<;i
z5wX`-kp&i_={il0FFsR(N)#?$`J_*d&*SB#-(qm#Ol|L9c&$k2h!IRn(a=qf*PY5-
z_AI=`uIUsxe_H(<e*Q33X0<Lk9}ebvj)Aa(h|)<i-sMkm^12V(&<g30@o<({@r?&?
zc>4>zO^9Dg?6}nizc<c2{ts~l1sdB<*gEgmiH(S_TxXvjh6C1HHOck6+OISA3EueU
zO&f`SsQ*~741Wtve@Ws;wsNJf!VDp6uP6~0uH)z1T!rVSFAa?(|BQRcgq<1Q@pxkk
zJ>s9z9R5><Q%m(aSm1MI`^uEy|IC?m*kOl9<qJpQ^OCuSeDFO!VJ1?3l+~tB0G1NH
zcTx-P`)_q*A8dY^-cAkft!+Cm2cNbNC^=5bZ$4|K2Kzb=v}wSGrV`&Y;Qm1U&ARXf
zyXtuZc%wmruqJ$BKH;VjTzQSoMjw`WvCG2(9-~kS(uNZ}C{``u@7yIVr{J<~^$pkI
zoXu)|dT_j?xSu`ja;lv347_#4KF}4m$x+>72)k35ZzA_6JyVI58EmeeL+=M4u0P;%
z4n95~7j_%Iclut{C0J5-M|=#dvG%an6i$?4-%8qti9`;LEAY1y$-8pkKsqMu{EhLv
zMRG<iY?|-nconuA8OSMwn**kNE#Sel5q{D>86DScw1qcby&zT#U(psHv4p42**>g;
zcXCAX+<>hLi^@oQ_iX=?I4M7>@oXPy4~4{x?496*&Fk{r@V}B8F9-OZE?d<bcw76n
z`djdwh|{(GFn_6QrwhE#`TAj!zdG@=hsg&{Z=Kcn21`)|iIVco6U?u^!~e8LZ2e%B
zRsHs#u%e5!yEjZ-?{b3V_dos;TpI*uov73&<MG`$`&w_qG?k-o)?rz?y^P^-O$}ck
zHQMv;MJKL1@T>Nd#<Xxi#VeB-IO=Ge2@`yL<7VqfSatp72QofSo-!*;gtyPpj*{_D
zL~2G=9PFyAdT9sjkU#VHE_|-?wk65;kEj-*O@S?H>%Wrm70s-Rb~db&Mm4<`*1cG4
zoB`8lYS@wSx?$aN%6)h?Bg8=tZjKSl`wuQO+2(W*7Wz`R_c466%FIm_W?uTfzYM<K
zTCl7JUzyqGQ4Q}-pI_649WR)KJb}kgtND=eqmFl0TOAyd8G4)aj~=I*-am!CoDKw?
zg{_6OO*`PRrrV)pJW6%Y%DNTa`S}yWWteR~zwixw^}$|d(*L(uyr}Aeuh~V!*uq9?
z6f1pjd|`hA8DH$-<e+^E%cSHbyTK;cqr%7G&BMRbeBcPbjFeH>G+j)9jGyA4Jsqd7
z#{5jwo84qQgiSr(Z-)77$_2^zf4_F*Ckfb=?l^A<?6DBoD-GMMH{2s}wGVqzwc(HN
z^|MJl+JQSl2VVWtBS`Z3HOy-bEMdRRXL!l@J^SOMqt@_;b6@U}xc+P1&Hk`)!G&xR
ze|GrjhCrA_U|BE*cHB4eG9A8Be2tfk=N7`=RcFCDZ<|C@V0EtLqdjo!w7?#czpwIY
z;lMkX)7zx%KR7f>l8&hc?Qwiw5qZ9te=M=e0@F9hJh~4rv-WS4fld7#i!<Si$NHD#
z;OOhIho8Wdbn?f2;lEp|_m{w(e-A0$hAFR(J|pq>Qu!Ox;6qL?UOa;@^`*0<zzJ+7
zogJ{g`nilYxbCu6PcOWBSEKM1TwPdgJOnrNCOUkAxnmxheuia_dUy}R_b%`M{0;6X
zeWAVxYm7*Lor9MSXPsPty`osG7vNa0intZH)0g4;U--05WY!-z=y;#QKUnbgV*$FS
zm@hoi>$0g4{bO;k^d?x_wC)crTp5(?xCP$Z_H>O2E@Hjv%K*oP75cEk^sFu~*x;@9
z4+6O0_;qFMAcgs}f%Hu~;oX8dEL^asY#IYUEO(QYn*%P_NQe-GC!g=SzztvA79T4H
zN863q?tuMX$FNJn)}Ox?^TT?Yk=%#jOa7)UyWr&gaaqdnxs^-wd*G6h=zB-u2QwVo
zNcpcWsX|)ti-;X(_rkt$$zu9&#;3L`!f;{l{o+$_XI^KX6x?8W@6lO!pNZRJad=F(
zO3oB^)4H`N2iu>iJa`$lFxyQf1BXp^)n0)cZgOiV!l71O4Ysh{*XJkq!`WF=YB%64
z{%3J2FjLZ$rVD)c&)KZQuz)K=yBo}IYWP_LUK?Y0?E^>0%=|b4v)W3Z@`tzW{3>-E
z*45i*d<SMLcR#ENTl<&}guywNZ~ExNR0C!svGA^Q6yZ9sP+9ne1o+XurA|Y5yI<s$
zH2C2izrj<mVd|1~Hay#7WquicePi`{KCF9n=Gp~#x>SC?0A6`NQe*{JtST;+!Mz>k
z)mPxjFYa!SVK)oi6+8HEp0C$axUIUC#s>Bnqw}waIsJ0OJYdQ~*5Frg9ozO~H`sX1
zl&%f7P@^97g?A`gZg~TH$-7K=!EtgG(Y-Kp#ChQ$IQCmz!XTXfsa^Iq{PLJp>PNU#
zFtsWU7Nl^_oPdL#Y-o;#r!2a8zrpLdUpA${x8gtSnS)gmkFh1fHd%@fe!@A0qJ|l;
zz)`K@WmtDD_~KpI^%d)*b$IN#)|W!q_a=W8brYUnbhGF4;mNNN2WjD@6(5;0n29b^
znF-eT-lJR$Tbuc)v%{B%!y4=0_qXG;cEDqF1Km&IiF1CsJaFT1xIqUT7nE!u1lt~a
zd%hK(-?Oz(1eRMX%zgtGwTKN#!G~Y{c-RGtI7)w#gPqz^q(8#jwx9TN2u^*|clZMw
zam;*5mBgQTHcZ0>3m&tYaOK}eo!?-M90^x__!^r)9Az!~-_IvKjbT5B)0zJem-PQ{
zi#0slGiGxDaUJ99beG8A+dMsg2sT+cA4B4cQXGPY@J%}2a1uXUIm3Ad78ko2a}}=F
z^iH#auTzSJUw}nZPDk6ozM}88T!xi??d)-c`Ok#XnZmB$=bByMvUkH<F2aT{{j`GN
zraXm>25?XZzjOpVW%n`25Kg->b29->&kpj_g;h*yER*3E^Wqy%!Vhf%^0VM(&)4f(
zFz32%+JEpjBUir@@Q4T3NFgjvS>~byKXbU>Tn10}onBUf_xRqVsex(NeShqOo!b_E
zJcso<c^%04543KOYJrvPRV>N%lc81M?1Cu|j!cs4H>t4cTp!G6I9EH5`jlXJZfOSA
zs`XI*1?PT~KClR%7Sj~zhll&ZX(*rJd6w$c{daI(MQQUg;`RdLq2=)H1G>Sqh{yVz
z*<3-&(@V87!yYEG^D!_Rt7qtL_yI+RV?10je5peSj%wO^l(c7T9+$5w!y23HTFl|-
zf>RHU!LB3s3l-s3%U9M$aF&g!$N|_SxJO7Au6Ih}-v@uY#j@ih{ITF<Hff&&8@3N<
z!uLfZ?h3=)?1ml3;VQZlTzlY`{-&X7u-JwWw%xG3T&&ko*n6x$d>br>UuhSI)$F$i
zGs8LA-33zcf<wZ>GWw^C>9#Wy`2PFeA6njk_-WJoSH|E63TBhjh#y;XH_V0=^xHmv
zf%}~jHFM$Lby=n(a0#=ke;EA4j?MTzY@8G390_~cY<$xV?{v6S;tboDdbYQ~-*(#P
zxWSwb-dZnV)!y?L?BOqBOKQ(y-H%oVq`tCoZc?d%^T*YYr-%9ULBE5K;9ug$UR;3>
zXlBTh`AubxT}tHs5MkLRP3AW{)3!^K`@@0an0OAn)#`iEF?jWLi_l$oYVTO4Hk_}v
zK_C&{KUlouApC|akeiIBE)HdFISkJQ-%lgsvpMg84q2G_-QFZJKC}Mh@LT~-_<nLL
zna?_0Xy7FYmzTU}BJ)x7c8Bcu!70}%BX7at=XXko!cQKAgpl_Ib^JE)io@&7Rh#VL
z=cywj0x(ab5`{Iau&eHk5Zv5z(}&C_t(c`o?S_pvQr<WTABpC%5{6$6DbMJ_?&W_3
zdEloX3t#Snl|0V1lH=X5-BgpzKl<r}GLY{x%jYk)hUWo!pMNdK;pdej1%F|?_0}LY
zxKCqS>K76pEHOU;*XMX~j=|d$U3RL&!S^*czk~PN-KQYu?}_4*|G(c{(_{Ty6_#1^
z@@+!=Yx|vCa=!E1ey%sbbn@Dll;H>tqvaYn{B7^)Bk-m0ZddYt-2uy3R&xFy>B-zI
zgW0ZZqbA2YVOKUsp3gM6-@YK<=TDpKmn?YT{F^*d-j;Xmat7SIE9?q6-}|4QH&24S
zFHoJ4gE!WE`#_!#mo%PkCFfhB>EW9o_ykktUs7IaMM*yZj#xIRBG;#=@t?X2Ja<PZ
zT?$^`m)z(G|8*NUN6vR=wPDp2*yeSbvIJ~-@wfbCSi9-?njl<pzhti=-1K>UbT1qi
zWK?hp_8cn6<cA-zKguQZNe>y<WA?x!Y3BS|@MiIRJ#LsgnuAjjHt1EACG{anzcumy
z>tlZ==Xbz&DZRtU`*7c{-0b6p4OSHBg<-*Hj(9Fu#xr(-%s1&#ub7hKQSUr+lgvjk
z&ZcbN1^@W_OuPc~4|?yX997^all{eH{gOWN>=R9RbR$D}1Z?km;?g;|^a1DQX!yBi
zLoT`hb~Hq+xWl4bqTFrZ4V}U6Zt$nK9Q!ZBGSQ=J<ozi>9jVQvz4%g8=1qQ|2q|WI
z4`8X2={E=9Q{VsYD}jGmTw54|jl;s7E8#_F+0mEqM4FCvJ-mNz<zg$WIXfCo+W$*(
zV<s<P))oivc6gUU!G|WeICxV-FN}>=`<}rcspHE@f55Z8qo0(QDR`#v70$c3^yVpS
zJf|fx1^;Th(@WmRa@*)w{1?{$ZPr;0C$O$(uEAmH3ti;>tf0g_f?LpDmPXdMkoEaE
z+foh|c*yx|8(E(>z0iM`7p@lH-BbZzSicY<08@sAA0@}rPqoAFF#Op~Q{@S48UEi<
z6_{_!v?@6sjo&Tp`f$pNEJgCZ*DDSEX9jQ~k7F$<-@`ce&jdCR<9|{D7gAcyo5R*j
zt(BzwrY8|DH{hgEhcfbhShpjK)lE3cQez*<FW7Y<x4<2qjQX~h<R8d43Z{9%YH77a
z<o&U(oz)|OaPnq}xG1<nH!C*=)=<B~8Ua^bqrG$oo{mVQ_JJRCjjKn&%Ij|fJmG_L
zT9m=CJROzWb-0d;<4ZU!@kn#Y2L7z#mJ<M53VxikfVVBZk0a&xyNTFef-R5kKj}lt
z%Nt%k4cGjhk|D>F_u~HNlW?B4=Da6-@JRPN@_TSm&!>9*VG~+mLsfXsc8wVF{qAe&
zXv)Cpr{6pJ!Z)=ZzLJ6`9!p5O!3RXm9`Ar>+@?4B!I8gS%5cH9waPC@-01lN*BbI^
z%1mj3$?*z)u}=95FJ3TIC!f#d?Bg>6%V&S04S_uuDgKfC9#cz^m*n`<2XB9W346C$
zr;zyLJ<K*u@MgziBXT@CIsf$Y;Zu`c+sXM6(oTMT51u-?rT;eEi&_^A$EU9skhmvn
z)}ctaV(NeuIiBjp5J_Lyxn_rUDE#l@Xo){8RQ@?U7G`a(&2fUKUsqjEhAH>3^1H&i
zXZ*^tV2O8XOqbx|`n>@UU<0;`k>_Cdcg;_uVL{KfU<26sdqz<lyj>}H(=k|QBFy|6
zoMy4|kK}j#=rPf=gPlJ`{5uG<UU}4N3g2X*UY3Caqr7U)!)u%G{UPsjdDFg@)q~x%
zcK;NDTkYcoPr(OQe>sr+GgXhLpS56-vKuzsaD$ph?+G}?XO9iZXRG|xq;m*nQ_i&@
z`EHym-b!SARdX(IoV?F<H#>Vp9)1)@H9`x^&>Bx4fLDyanQel#-@87LhTZ6`jQ=6u
zjypp*RTh4=qGU|+@vin?VJG*io4JbiG<?gV>bD3Su~W8<<oj7Z>@6qvcctRv#?SCV
zyvu*2ym?NM+9%k5Q}l(MuuW~Dd=LB|XR9h7Tx(kRq#I6*{<zKs^U?7AR|AhHCA}tb
z#hZKitKhYT2NB!hEo+HPBwv$%ukv|*czItzR2J-DqqB1d9NEZwCk0Np(80(Je@-&E
z6A!0&jR$Rp&&zcAN5CDWX0Bws>K(lKb_jf+!hZfA+Ox0XVV-`l$DZ*~GXAZk==b!5
zjaYx0{6w7f(HR$K_))|86Te}%O^;mcVWtGDm*a5T3we8MIMDy~6VjeONXW3afUOU|
zm3j~VF%`UK22)$h^A5uDC8^iWz+Mb;cU$2QKLLxAu)1?hSO;7%Vll1@zlo33Y=TEc
zXNQl$Kg}ohzk+w_c#Ir@A07Nq{sg{|OWUsq)2m7RR}DYb$my4d-8b#tMfw-U{Cz!=
zFq4kW<|0zQWuQkCKK#ch_%8ff&aQ(WX7x&U&44$(<L%^zX_y1%$@5O4PSwk8Fn@2;
zXf&*pK5~p1e!r5yNye)z<?gC<@ZO<rS`T>AQ}+mY|Ej;Y!2cTjC2dA=4V_)c{K!o^
zSY@K?&>xt$=kc^DY|Y{zKM#vbjD0u{OAMS>n1*W?9~tSv;Y`%hUtr0Y4@XbInT8bm
zNWS-T)%<!gzLHCNu$Sb6XKrsVCF3!7lSg9Y{igkoVnoUK=w!b69+F=k-d4Pwj86-v
zoP}Co#pCwzWW3RQM1Z#erpXQt5P^46Y4MSK^+7uIbxzpN^6!ocSSZ8r2N`b&yT_)H
z_m6gEOBb@i^~UOn<o%Gj1f{ziunpTN#{+n&f%D83_@GT3a}I2<jaQQe9`BNk$%L(K
zmp9VEb6H<Qli}lhYrh!ao!xTbad5HqgX=4J9u6(~9!TDI;Wy7SUxz7OlQ)IJj`|)u
z7U8Nc-3_;4mwQeO%P_y{20vf;WBt*VId~6SrTZ-scTucbfc?bnR!F}8S`CBqcewAC
z!0#I{|C<$yA29c!kIr^*hf*8w1l&fMbc4KK<X=(2LZ07OY>no~`y;1L_;-DRHx+N0
zGKDkwt?S0%o%KD}&cShGG9E*4h)0-(0qnMe!)65bmplDMA5Pf#QK%0-ZL|5K7R;1h
zyKMlL>>NB#ey{v&$?dnVVOy{GvnufQeAA|0m_OKZ@Gv|z#_QJ(_muIxm4}lLFWQs&
ziOZLlPRqiYIo0AX;Skz#U2!<k^v*6azcF_)qMN)Q;yR^0SPw_}X}0pi7pXbg8sQFq
zVQpU6xAt8SnJ@Xib6kzQ4??#;4I3w8y|KBaX&Wiec~0gDoZ7EcMF-0p46@e3|J8^d
zpn-oLOz3_D@00nmZv(9ISNAz7PyOuOqc!|~yfOo=XE9t7u9Y_nXLMdSc?^5%sS3})
zOcMf}MX)5x)vf(-oeS?*5|_xZN+iE`-|p1=ABp!J;f^N1hwnM;6juU&e<2o2elOqF
z^(|v2e9Q4m82LT@Id1#aY`E&BV00Dicam?G%ztIxo48X3AN^G^Lgu&XZ_92jfZ5wh
z*~xrb`@g@N$nW<r-8sDRIy~T^M3({c<=pWyBc`IIN+R(rX1fb;g_C4JJWTKTSmX@s
z<+|(@0pA^x=Q4r2>kNED;C4y(SZz4DlgHf;HtJgRBlCyd(IK9ma3h1<${{$j5bZB~
z@>}7QGJL;~;jbMm8Sl#@1eaePU9g1dqvn`IVZKkruIJ%9x1MUSz;<$>4rk!H7y&tU
zxUY%N$pGF^rC&@1%kQDMegZzt^f-MJ{7)*+{uoTTdx(R~Z+m8hTvLHvD)w($hOZip
zem@L5Ft)vzgZq>kzsSSSsQAmt{C5GH@1!)ms;9bl48A{c>;pe+jg8#C!IkmFX1p*1
zoBc~NzrOoNj4|2Y;*;3Z3Q|5yZLOc|*TE*LadQaP?0eBc2hV1A>5syPE#!2`{v@1v
zhMNcA)bwqdWdD-g)bXpN{MVky)-~*J@>Pbbx)(kh?9fQ|Kk4{+D!&h2zC5G;3zj<G
zXVC?(6qW5K`>7~yKCJc@=6@kuL-t$w&+gg3cDUAv<1yKf<(2)^4^m#5Eklm%*V6yj
zs_-TJo6lF0?B_CU9+TP%R|GMZy@r!nw-`6T_gH2NT4A5}(np)%y2EV6O>o@sp68EX
z?stFk$o?@Mqw2*^;Q810%Zg#q1B_gOa9(vvVIJ(cxSKWvrinLHNQ8TO<Ro=rq4Q^?
zqu|d%O57)5B}$F`fv}z943iWrwW_zz8(wLeS>FfiFlAP{z-2e~$Zm%x?w6F^fKPth
z&A$t#zvdxB_U|!>2>i$nZ}18iw}jWt+`G2HQ+b23rm&<Rb^RjNbDn%#kT8V(bbl5v
z!&$uHk9A<RA*S(9FgHbE@lm+_<?o&`xVgkkRvF%uKu6mSFNyg}?1#HECKo&5ji>Y;
zOTpR2KlfI^Gq$&iMc^lWZQHA0M)s@a0`MhUm$*DQPBFe{7p(YJ)4u>Ns*je~0q0*&
zQ_6v#T&@#lhYJ+0iQj|2zJ4Lb1lKZbz8?>#`!4LEg+tlj#V5gfmehNxVA<ZAn}gv}
zz5{|}f2ZCZa;taXKQE8vEyJB{epP<(+`32hPdLL#IWGVn){5evgA;T@FMGlcYmK|U
z!Kr7|PWiy=KZY_V;24weEw1oa1@-uTIQhx^cT!&d;$@CLSn-8Iz7w3Vn8-}_pHgBS
zPbB62Ue?5Rz+aCE8{B{edU=BD;3+XDDQ9?g$t|oJX8Zj+-vYj}p*XM{ZnTO|x(Z9C
zvxPo{yLYfK8^fXH#{=%e_T3NG&%(CS2P4wpx&4W=`{6&%?!jcgtv}!Pj3~l`##G_a
zuxD1H(O%f_!O@^Qa7YZV23e1^YLBK3hVLFSrq~0QC%>iig?~j3&kDo)FY*U^!Fw%O
zig@5N1y_B@{$Q`S#ijDYx?E2woM5qS%|<(5?U8>gWPdS!u_GGXaM6OX_cb`*@FoQZ
z93q?Ub{YQBJ~hh;8_q5Ny#QzJ<|<-_w?0(<eHK<&3QuK&wVASA$^K>AovV!);Duvf
z9rR)9VquLfaG1W%FC7v$GN9N53sA@ZI0~E1J)5P4cRgOWSBD?Gm?+!;=Z|aH9EO$Z
zPNY)7{|;2l9E2Nd9F116o*Ou^`c(!l-S$p>9hU!We@z;8Q2M)J5w4=Iwh)D@R*h!=
zzzs#xUxnam9rwaH_~=RZQ6AXLt|w&yzL&CenH$cUTrm6&%haftZ-X<fkE#EFKj**r
z#18Lay1HQk_S9e;+6)KISNxcS-3MdM7+}MO-hxlC;KB#vjW9bkcgh%SFJU!E0ZaTl
zU^oO19a-sG!2Wg%?G4goeLA}$;^aJhxO;G>AGR&)J3a-go#FgI%Dc7Mb$x|D1WG3N
z!d6ErTRy=j?5%>xdUzFu!SNCJV2jrgvR?k?cbdj~n2Ehyima!fH#yw$7B)_7o^FBj
z+k;<_{rh6oeh;?8PVdDu+Ts0ko01yg`9@deCiug;bl^*P$(i>>13dapRh6voU*7lR
z$s^cnf7q@jSZDk8TC#s&wt8;DBiP@=@<|>X;M#DT<Oc}ya33K157u|KD;LALYu98l
zV3tec;v~PoNmJ;_UAX%5^tXKYaE?<c+0W3Ue?xyEd>~FvhU|A3dz&WyKiJUvwm8`j
zv3ZcgpX4+66*0>M!6t8Z|4o2pqA!a3z<;bnCX-?F&*G(?u*c)QxzVug5uXBQIQ*eh
zEXl8UbWmU15f0^-)(wOCx8(@g!tCDCha%y?3fBT_IFeiHPatfzr7iao95uLiA_VR`
zl`BN{dkniLoZ|~~2`}-I{UB)?cSqlb^H}?Gjo{#_?I%3ov#qUhs_^gHuUiA)zoKKz
zWIswT(YdoEe?(@x3$;8vu~H`&3)5T=_umh%Ew<cBg&n@KxRU)ZHQB=rv*2sug1^Mz
znY5%7a{iJIT>2pht1>$Wlk>Nc%GpL3_MrA_C)Y=#X6!uKZ_~X(CXeKEyl`IlK=w;L
zvS0Ok1I$`^`pp*jugv7jS8$xgMP0K0=}Gk^`q%KK#i2uF|5A#Db8ks~wc0pVy$(;7
z*>aNl{Jy?Al<Xf%tF0JB?!Ws=uQoTq7jN?%A@?7}JpCfszg9P(<PW)@3tI(l-GluD
zqaH87<yy*iWItT~p65}^@ZNJ5=Hg+V;k4uPaB_j`co3{OU%O`s9{ZVjH2|jFl=PY0
zuRUy!O<dsA(fiMS!LxB=BaX1@2Jc(b@IJ%!dVQGv+vlC+^C{OF4jaIqud`ev?Tx;9
z*<L01N8vdUM!5dUjeHeS{!^G8JDhPwJ#jBA!d@-63yyof$|?b8El%GOgzwJZ{mTNM
zlszR$@<-y{%y==u)?HlRNqc=|wa1kfjy_`DPuly3{vs>Xa3GCjJZY~>MVWrDW4~p_
z;ah&By}z9NYGoPrrKMQj3SZPK{rwY;<32h;+UF*D)?0HhYamSyX`d-<{>RaM$8+`l
zaR8?zNo7PS*|S7O_8!U3$Q~7yWK$IFG7=g>MkKPyCK-{C5ZODc;afxq(eHJBe?A}Y
z^WlE(IQQK5d7t}P_4)>f{nd&f{d3x%lZ#XEQrKo)(mxAk>dub9J!jNqNdLTjxWs!1
z7U!Y-y$Kc)2szsZuduqblJ@kER=<CMFOBlwCHrSQ=lyUMeB<d2$1SiRZOvpk92+`2
zK#up7_>7SP*vf^aiR@q6RUwC$a6@79ZE}2TX?NOYz)K7Nd6ND*MUc}m1%AkH@@*2n
ztF_H80rt#r>;4Mg?B_on11C4M>67#ADa|hX2k@cLNx1>|0lm_hd+^3+)q?l%l)l)B
zJFsq?QDO@$c=P=@`F(JHuQjWBctN3R$RD2Wp*h+JFKzleL4I#MM8KxH6yEZ2ZrB~B
zZ#|j)3a)dEKIIAz9NFSj0B4NcGP8%-`ZlYT!SdOn{Wh?+P4-$IT(-Qs)c{^Bj_oOi
z1=gF5^x#l+g-1Cs3w^S(H0&coWkvc&sbRZ1^84y-dC!<h|JXVsluv%Y-MSk;>kVfI
z%}VZr?@EtGlla)*2EiRL=WK*0sn<&T@Hm?e?zZMXm<>;?Tz|0%F7IDrCEJq~vo5xd
z-<RKVt57crKJ7Gffc)OPF!xniQa^V2j$ZY5c&$%={QvcLdybZm!?G4TK6)YUxM{QI
zAna^exPjCQw#d^ccfr(uTxUpq;1-SL+739<eJRrvz8SMp@)j1Gv%gK+d-Tr9)xusr
zQ_7@%F_q$%ND=(3N{Q71KI%7HkPkoAt?e{~^(bbtGhtUIr#Gbi+kNwg(&38cZvmtp
zGLw0RHx@2S5;QvocRR17N5h>CX$(i<2C4b@5ZIBT`@24zUbl%W2sUapdZ7tdJFM=!
z1bc~lT+@Zk1eu>)gk`pVlT(ND;x~sm!BbL8Or+j(Jw}k>3>>+~wM_-q*5cY~4|9C_
zQ9;@tPjq9lg5?yu#3kTow$9s3;IC50IHX|Kh_@Beu&x2^!2#5(u7zg5QG!2~$Eozf
zy+MWpqVQ}6V=AeirChw&B?veAUw%O9XLn1uoZ^D>nKJ6`!}RJ;Z1%wZ)U+=j!QvIa
zMt8yL)-LBmVH<6Z0eW~SuhBdl{_jkH{dQRNkPuTK`MgWF2?Z?4(KSulPt?fut`*_$
zXNsrYg1<_i?O234HE%v5?fJw%n*D}_{|*^kg$;U+X^z0Re2bWZ;I!Dfra{=1m9CA%
zcXIBmYK22j1f|`E3-^SpeSq_~4W0^s-(47xs)D=NwB$)WaZZ{|MFo7cD`xQ$e5dzC
zUJmS<J>Pl_E>IPf%!0)|)b9Gik8`8Aqu~AAIR@9^<x#=3NASwWr7eDNYm`&m9oR$R
zz}OWy@k&C<b-3?uxrHmNVPF095-fT6gN6q@Oz}e43*MXe<f1t|b-RWCJX}qadddpU
z$y2r0hcgAjg_cPD_0k>7Bk=j_!OSbL-MPLmO0Z;<sMcrrfC<l-H0)2$BQXI_2F{*2
z3?G%V_&ESu&d8k<fx}s}`iJ4YMWfC_@bI>rW2F9@<)FxEZg}=Ulme;$_9-}VlL=n(
ze3?k<%{^N;2JeCY?QAV1_2{Yf?;kM3tSy53@4*w9XQJ8Qm*SdAA#mi<ZhjIkJ=yH;
z0iW2Jb%4ZaGr!z&g`Lj`x6;BKTj-M|;1SL2#*J|E$aI(#{Bta^W4#dfuVrZ}ez>oL
zyJZRHVB9_{2uB-o8!y1)vtn7CuxeGR-cR`L`Hj&$aPde+`!wu-k<WN9%-wSE!vq{?
zGN;H6Ydw-O8iS?oGA=X2^%japI^l136F-vnmdEv*+u=(suS1#Oq`6}?b?~leSqE15
z8K0Bp8~FaD2|EMa66+*a2s8WDEU>^TR6*4*;Ts)2FSo--i>O~^z>L*F@ua;&t&nmW
z9H^OKPS$&v{>qR|g7qVhs?))YDeYAW@cSb+>l@)YBjfTY`0dh$?_|A*X~tEhNZ7D@
zXX-lElL&PGlL>>bek-|8iTIyU2lZgMN2i<m7vd4@Ulnh_l1W~3^YC&zN8MF;6VLUW
zY4~1vN~JFx-@oh0Px$WCsM-biMhK7T6wJ+iM$rv6e_o>e4K8F)t33}}U#(dgg^l}!
zD;;6C6@#g9SYPB-gFXDw)XwG;+_<b(YXS2zebMTM_sEMF8^MJa7W^t<<&4*QI<SeE
zuVW1yN^#Cy6W+Pszn`rCd3<ffND1Dozf@1w|L|xQ*~r4D85ZS}Vdk!*=HhV9MHhio
zxS59j)IqrHz?p<dI42{`h99>3)EyiREB~S&<AL{IZ&#0i^%*h-*<kLwilPr;jWw22
zdtiPCsqZ21&G<YUCfK_zq3a&pC(J!Y4;Obv-oFhS=vEAFflZ$;`3J#N*Tqk5hC4d{
zlez{M?E7Ft0l(j*%Y75BThtm`E5QBVL22j`i8GB2F2enb(TxG{o(HE+{f0-churdk
z^$)Ju{D4C*4!ilnTMciHeTO@RTZP==Tizu-gD{u<d5R0LL$jJ~KitD*QQ-pTn+%$N
zg8l50UXb>qhOR>&VSoM5lV{-qy~K`MxOCeN8CQ72HED|)SbWRUoFn{TzRkECZoMZy
zOxin%9&V|CMe}ueJYf0YjRi6A+gnE}uEGLqw!(4nlShseWPj+7Oz=m-2OPtu$^NYB
zRC*Q#Zy(J%ME3U=Mb)Ta*hOoBnyeR_=8B;Yg%u2$^^)KV`@%L|ftS{exnIB(v!mCp
z!I=+z&gR0yR~mgh;g@$`C>Ft=l~`xIVZ+R(o3G)67D3-!VEd3^*J}9blO6|mn2~uy
zVFP?=yQ-ZN%o4Tp>3i7Z<NaP|cr;9AyaP6TzN^*%zRd3!F$|v-wO25LKYk1CB-e)|
zHG`Nsd~!oX=6`U+_2XHZaI#U^%x_q(Dm_&R9;_+uUxFvg{^L-Er2<AcC~&>L=?&T`
z0pH>5Sl9$VdD9qv7;ZefCP(^@c`Lc&Gx?a`H2Zz_0Bn%t(Dn<?71*Cc`p@yo+PZQ0
zyMN0~S$N;CuZmN!bstruD!j9UQDy{IJkwF20iV4iQ}7vX7Nz~82cuReyC3$n>l!nJ
zITvp755a7a+XOA(xA&fNcEi^lyBV!vWtGO*URa-chXq+LB_=Tu*$%t;b*Yi{U$4*5
z?C6Be1Gfje!7D`^TUy}5u^nEX@O>xsTWzq~PP(#7Fe9Vcl}5O?sU<l8F4VlV^d6>p
zx%umD*heSmR~>A!xuGKnW?RoV{|<g(NxAzz%wkt~x*C3NT(#j5T>GGF<PFTmu&fma
zS1t^GDuf*xo%cP1|FQhlFM;1Prk%=w@6#=+ro&PU+hp=!o4t&$GvUxLI#){Jy-r(7
zp2OBn%V%G~tI=wiq<ul`g}L|e*&OkdXYi~d&rl1zPpa_TD>&$q`vXqg&o^8Tav=Zz
z;UI4S5B#3<t9co0W)?{;2{TC)8|A~FE+73R1vmZKedPb!ce>PH3qJE{SUC^zSGvw;
zbl?lh46jK0_)pKWjNv(-jzY4%2ds^wj>EGjs6=vLEyKG5w(!wkH3BbSZ$FuLCtxw#
zxo2ei-}QQIJqOz#&5R@4ANrha@jQG;a)3Dn-s5px-iP>d_>Khl!r(d|84pcPR)r+O
z3d}O+$#|(K(DhafEW$H#oQ$uuy%N@9VTs1wad+XbW;3(*;NR(X9%MY3Ey{L20^ZX9
zq&Nm%zI|574sK9Q=g5Ig^Yq?Y!*t@O`%_>^s)<TdnAY?A+cdc2Q;WJWycm{xEfHQx
zKdq<>4~y_SClf14x2co%zYJqTh|4=06=1`nrrY;m&D<KR!>~caw<2$tqs_ro1g6Zf
zNxTU2_B!+*fctLjuyTXVFKzDRg|9YU(eQ+C3(#3{!#kQq{yD)c+AmG^!nr;%-^l(u
z8(-eH8(vP<N^yYgl<Yn+z!ACG;b-8FQZAM|;P@?8+IFy*C4&hKe8BgW#7Vejk*9AH
zyt;n+rv-ffNmIxAOY{$|Z+fj^8L^e&Wmx3)P6J(7<x6t!983}AEMov?{urJ30n00u
z<tW1QCHID>V9SRzF)FZ?Q@-N_d`mXRSO(@Uu(cb4GiLrM$itB|K@<IOYF*rtI6T@R
zG5iT`85sL~7&dP`>DUe@4Bm=A2#c`puzL@;nY{}<1gDj&PBg$5Zl6{agty(98LEME
zPCP$w01kT3?^p#(RH#gG!$*$YFn<X<mgl`9?SosYhjL&JE}aYH`r$aVt345ZKb5Y{
z4<DGcF;9TsS*uX7!_?bpjH2LcC(r#P?GJZ8wS548{PoCz9uB3~H@^%2kuB9{f<J5g
za<~IaRu0x~fJ-BjZLgB{S}WO`;N8-u&X?d#ReQJ>a6S9P(l~m-?4jaxe_(2Z{Y%bp
zZCt<n2wY)4G3x*~hfed2!3)bpYj&{E4T?B2o|fI^wPX&zF5G&j6F$f?dgVBrPZ_EF
z0Y0i?>8V9NpPj(e0hjKb`mPPnC+xE9hedmhhUMXraOQ)f@M7YCxe{Eu^?}z{*!p9r
zku)qj6>2jLAKAs+EDMXaZBCwtTa#<vio;)YDDEx7Lr&UChhd7OfcACxw&AR_2>jn`
zuL??h|F6><4oJYuq34e<!ZoqUyuxtuxf6$&VQ0&-U1BhQrbPuG?DX*%!+tpIs9q{L
zepdPCs6^p=E9!@2VYk_pH32x!QfiL^yy;tzFKN%ESzxaL@4B_qlLvO!Ox7m--P@I<
z?|ks~1oj9+xP3-&f*roDM0bhwcMqqEY`I{a4Ix$JdFhdqjQJjTM8hYY^mkg4Mmiku
z>0hoA<ocD=Yf;|~=l?d}N3LI96RS$n-hHU^6nXwztZy%2f`@Lr)+5i0^SXA2Sm35^
z*@xtLGL5xeXa{V<#t}fCKmXYIN0Im)%_zMj*h7atVIQpWEay}L+_pQFg%eH^6iiQr
zGX?DTll^^k>iG9~*zC>Pb8@`=tv`s8_^G=QndEqiUj3v=`Y)v>ab8u}f%9l+CM?WU
zzyByqovQPU^ndb8E-5;&luzYU9=x&kU#1cK-m2nnHe5et_0$Z0nHV2b3A@zKrr5$^
zjgbkjU=~Zum{af_3QxgiI7WBw={Y#_yn|9BtZv}+&<)Osl56UPpO{iTxd1b22#j>W
zwp8_uesE*<ecoZ%FZ3kqHJJXjpB%|I+#ThAbOX*c8of3SpZ;3+BpB|it$REQU!AcG
z3xi!F!#RJ!Y+F|zMZ(QmE>b_?{gv;xMZ<4ywfQf?0hZ@?K806e(jUyjcPOQ7i{KM<
ze<_ua@5q+DYDW5t;GGBmBl(iZUk%%u;nZ73!YOdI*bMbs_{iORENL)H&exSjxVGf*
zGm?L^Eu#7T26njW9!m0WH%&HueFvwo?Ph6)ySUgtSHoJV$0%B1>J>KYT9{^Ys%AI*
zkXy{O0v<UuAle7-y)4>V3IACay+HEQeSei2O5hFe9qcFIqE8B{<?scn@)VLEPJXE+
zR{$4yd=H<2KTvBHk?(hHmr5teH%}<)=8*6AAFq4W3Ve3;$TQNuIeL#a$(LFzYsO~5
zqGyguko;;wzeYIePv>>!E6IGDb)rI02CUo9k<JA-jxgu8!n8a3O3C^^|4NPGF8EAx
zTuUtcwD90Va)0o2)^q(pK7VrN?hvdHb>F-VwjbZKX%xQb&=cPS4}9-g>xEqpu?F?S
zGXHJx8-RB?pZG8ayXaSVbi&fTi6xUTSL@{WZrI}Lm(?FIx0voAIUa)Sb|2^A)C4ax
za{S_tr7`~{pHJj4B**XQ&EbFRuu|xeCUSfZa|vp0#(Z|p)Xz8M_^i*{h|<ChM$8K2
z_?-Or!iN#wn_+d3>`yl*8tvWifB&wek>epqVH(Z}_fHhZq{DqV8K?MR6M=3<vOoW8
zUrZB$+n!KRCBTQ?VksUx-mvd#A{^%v@kZhQmUAcf8;7ix$7=BH&!*oV!2)0R4d}pY
zZjSxresjv<Sl%(1)5qVGTn|@-lYd*lD|grQ$n{dLTRLnFEAH6Ya0@oLv4z(Wesb+W
zbpRZ$%C`M1{P$*>EV<sEkGq+;!<~AZ;^cZ9)3~PS1sk^=&b|y^GU>Q^8BUqYNb!ct
zkB_=sfn|SJv0sE+K1vjj`h-;vkzMXEosV)nsZYrGrS`xRPPKmY`99p+kP|}gcY}%X
z&5z*Ne=|r8VgKEXj?0G2Chq+s|KE1_Zhi(_9ML#`1@^KRR(J(p4RKn%4O6YL8kfS%
zJMLWwg46ChMOVW$A;MR}N&5(+oY(LXt*q(CaAe8hD_yXqv(bD!+|<46Q3w1i?EA?S
zc*St;)HKXy8Fh{vuLloW{Jz4zW7@ss`lzsZdXy6NFy>~fBjkEZs`j#5N1W$KlL5Kj
za|dNbb|LO~>be;@|9Vbr)*$sY#S*N#E%0u;z*b&3(D9QoIe$HP3?{hX@{CJbeXtr+
zqnkKv$~9;91vY$kG*%cs5Uk(+4L+oIb3_tW`7An1#&fO<rcy$%MP{@!8Sl-zg!qfW
z@u8HLSzzJdffom0+X#=}Wc;X2x9vX(_?m9dMge$X+F+Lm{5?efsu27n;EIhD+{~FD
zCJn#j%nLdMk312fk%LDo`#+HNlyZY3J5=HOVy<IkJ*Lv%lXuDZSaUT>KndPc&Gb+Q
z-u97KQ6APf!4qT%Z{On6pbHyI_lBFngY16?$@<CbWv91T!hGRe+(s}J{a%I>F!iQX
zX#-ePCMWb1+?>=HU<UKjJ3KlEzxLC5Xaa|n9^B{&?<>tb=>l6wf1~w-f8=rdo`aLv
zeHL!OHU%-Ecj1lw(rdx+w=9}xLGXH*qU(KlyQi5)5-k0T`a(2pA6k7U0gg02t@0AS
z^*cm{)DLcVI&!oW_A!{y{{d^$GSrpBU+>R9T!6PG&AqRIYjw5L=isa(k80}SkqZvu
z8&S`AdDge_1MKNps6_!!{?=D-gIO%A?$N;b*=-Z@yu9m?QRxPF)n~qiJZ}#KTK=Vl
zGq?71k>_!Z`gjJ?K5DM)*f-c{GTDqC_TG|UF$*W%{(OELoFeODumHE6`?f&VcX&IR
znEi$8w7IvE`pq{vD(&m=@OIu~|6hM%A=tMG`GQPCi_@HlH|lS1qlL$>n$M8+E=hFD
z-3+ikMIaSf-{MyG%V;O;=zL3C3btJuwA>3n*UPb!fS>8~ckY9i#?qh5!>L=|4f4WU
z_*=_lU^}Wta{>7A*M>C}*h{_0UIe~!?<=Dc{9^J|{~=i3f7JX4T$_?MCJirK`|F|(
z`}{1hm4hc^=kj&osDnwTNj}7dg0_LIS7~H_IZE;=!CLEEjo|M?314;K@ofxT25{oV
z0tbC~|Ba1j%;49>N#{*r!*m9J6Zp?U`IH%4rM02P8m28y|7i>7wr%Yq>&HIEzdLsV
z)`(kSJqdRX6nmb9DQ^E0v4a`!>)DZf(v^dGYS&;TT8%S)FcnL-c>tUl;Q9G7EXeUV
z{x<y6#{L({Uv-M#e0LQtp^bDQ`KvN5r>#NoTaUXw58*y93r^Br<Xzni$%nNSDxAIt
z(`Ub0BKfjBWx>lKFh|B8ucvTHHf{9-xO4mL<y6@8$*)i0a7dx}VjAoy-myCx-uh(!
zdM;dbt>|DRd~VY7Qa(JW@yIJ4F3@qlQ3n5*^9XtZ*BznqtAt~@_A_L{fz|)6y@mhn
z*ub9#E4v%7zJtRq4LXzcJXL26Hnzg)jd|Bd{q>>h)T<<aC}9`;wg^5WogCN$Q*Sr#
zBkMokYTH~P`N&H{8y#w4hc4?o<8WBZ2j6Pg?0yx+6zsYA*=te{o*Y+2L-Lyv7N^_a
z!n_wE{{4b=J+@eP!EKKo;yrH|e^EBNcffrI#xIe4>fH6iO4IP;U(+{8zBNzmhw)cf
z=$NUTC@drFkm!PX_)SW;)udovvrR?k;HaSrS$UXQ;*KI&U(z)EQ&kOKiRUu*g}YAN
zuhf7q*p5Vz^&cUh>*{skVFBMPvR<TktFx*BEVxr*maN~H+WJ)cIJ`so9Ti!>^7-w8
ziWMAFAsbHCZ<zH8YoCN&_#2YR`Wm{|#mOY!{_Qu{wtnJ^XJb8Jv%IH&2H~!m{~nP1
z`~8XyH-Er?x|MI7g$EBWTFk?BcPZA+!G-P_39E3GZp!ad@a%Sukac+Hbw`iWa7}SX
z3w0I7M==|n?BM&0n&n&IF#Wpm6R<h$${GWVcRvqU!j=Cyf7=NsO$PfuhC7WPTModL
zC&t~v;WzdBG>75U9q&X+;1O|_h*Q;=Pwt77u7vf9{GZ#yf0`>qYvHcpEMX70;zgKD
z6C9klRn-+vA6OUs1Q%|yHwlN2&-IG+!%S~W&W6H;;yn9D;FN!TvvKf<4TZ!MEWLJM
z(-YX2)#3n|-w77f3D1C8&1EF#V4c%Z$uHpJukUQ%iut4meM^SRutHJjCMsBDvPAwb
ztbdMqod&)t^Y$%W4dy?1b}mrD52<gy+yOg<SbCE7QFSy6yI}QL6Q?!&eGQ4XqkG_q
z>oF7m;H$Q}d_1t(*RX*<@EbQO27dUpVTbuDEJl6rxCmUet<K;#yro=CRg8Rofx3AS
z&a8ZYM;7*>oqsa}voc=uRDh5F@_$9zbE!qF=)qeWPvrlA*Dchh4B-OR8_8rotn8!R
z9}oEc>layMzRXrCjm`~LN?8;j-$%#mfYC+R<|&&P`M#yn?x(%sE!_=5+u%-P@1M8e
zrtw+vov@&J{)QXyM+v<=7T82eOe+MgtGQ6N5B7+4whn|fo22u}eBu1+>4_+qbs@a&
z5FB3HME3xuQ2V1S0Wb1s7(IdGRrQQjVc)FiOOIeI5@}V3O?K_5ii0~7w|zE(U)dW^
zJ%*c|?%0~b8@u1_e+myB$vI;U8|@iWBJGQY1qV;ToD<S?MeqYhv&nO?;t@U0eA0fi
z!>}8iZM#3?4XkE)sOv0zM{)P#x3H>MvyMAFc+KI|5X|&4T-6CSRW~viCGk+nQWCe1
zezJENc9Q;?L*fBSL7V@=lgx=c9<XN0ht8dEFkYQ8*hBvRX3<wQyI{t-WIAv7-0L$P
zGH`<P8uMlNNsiCdVR+89i82JP&mOpb7Ph!-|K|qWc%#$B8O{)+zHl3^&XLXcf`?_5
z4axui9J+quDqP>0+;JMN9f)MR2*;Z@J&}j0d_Fu6f@5zf?URMsb*$~L!Jb_*OJx4_
zxm4)(P<X(s+?xZwH9=wW2zF;{IYj19?bn#=(_qtN#hh9A;_$;QFJYPQyjNP_-v2&6
zuYxlY?k=~%+||Zk-@(5cWT(h{DCOPY>JKpY+4xg$;kfTxsk&e_MkPbiUvMrT9_WV!
z6B3%sV7jlbIL6^hXNow|-#GfYl>dSgxsUIPfjul1*Op;*e$`ojcrIi-Yf~-G*TgUv
zGJnY@=Q+C#e!P*(ko1S&>faQw!1q3#Z6@=R$N7wx*kR|g(Ht{)F)FZJ0Dd{lwV(8N
zk5gIKMdA3yqCbaWO^1OfC3t1ew2urtcFKF;2>gPB@#KD3m5!l659YSj91@24V>1^`
z;nQPwP3*99phAlk{F^pHlM9Yd?qP6%-_gg3k@>^2cH6H`uoZ7(4l{fxU`5yyKH$~(
zd^^1EBfHxN9^16Q!2pll>$VAi<uhiPY2kK$rlZ$j#!9w_bnxEnm-m9;nPR5kO|bBn
z@4k28acyNP8uIzR;MWgf?RKtNa{qK<TzD7*vmeuO`3t)|itI^(`^`BlFeIx9+rE(V
z0>1S|qjMG>*%vjJ3tI;?XLZ6;Ps9>m!E!IY3XuD~`lasiTKJe{EK?Iqdzs-?Bi!#=
z6wwS9e<@x62=hI&@F(Mqj{RRcyJ5W~_oZsMo<D+h1m-A+Y<&*z6mP8m4!hF?8$W|z
z7wo+;2A7m{N!){HE!owkVezE?yl}W#zBO<j?okr)a)fK!{b@GUp?<MjX7MEacYl4|
zU&PN`O{*pIZ(?zKthOSq%JSxj0?eFX%e)beqOBGn<JrxVO<g1|>Nl1}#=9!*G!IC;
zNlYx71r~n%@XQuCZp3;o89#^LYvrPZO?T`3CF606`~N<Z_*~r8>twvn>m{8);z>Ox
zPkw<rA8Fds!YpD*lM^u8iA%dTz;%0uK6b<J?BD*_3<nf(A1Cu?7Sapp|FHeLq!tg8
z`K_lr8=YtnFHO~a^%}14{>?)HXEOPv=E4_Db}y6f|G2JIC>x&VR4ZD;=M7hQDaiAZ
zbhMQn*}f6x;M-wvnaDL(vVDd#M#r3CZo8(O9kAq=&&@9Ik8_!GyI|+S=@K$O!;^Bg
zVITZD(og&(Or>;^jvp?rUlOo_ljR#01>uAIx1Za<vuc_0Vz5{CddzWn-{)=olJNF>
zcXwLA1IK?kE5Na5DQJ!02a(3dm0`<wp?6H+s*6&wS}-k>i-#upeDSQCKFnzSds+)V
z#n)YU9DeS8@Pjx!{k+@D4(9uoee4ii*8bz58Jz9tCr{>UYPR3mU<12U&zF$-95HSW
zEk}5v!6bVh%=WBQ>@2K%a(1I69J@G~kPk=ikX{ysIrmBi7r|kM!{<rdoMO_f1)k;K
zd-5QhK`o*B5l#-5vmo0OxpnRRD7=}^L!ZniQGC)a9*0k#qG%%R?Y@buOvBasVpaUG
zoYAF;pD-uw8(H#vzo*MiXbE=F`5{8K-*M;#(+d3lPCzEv{&%hSEH=Ew_;znfBH8``
z-ww4+aCJ&u6luTv=F<<%aND2pP%=L?F+EnY8{V(wvzZ;{-PE+o3GbPW_)GE+W;?b{
z@xbNJ2flN{7nhQjHDC$6hnwUdf}E{(sKI4Dlt0M+Q2oyS#27YtI=>_V$H#T#8p3ug
zkG-W}n%shUb9m7<=&B;@P<3+4aaifb!4+kA`meHqE&NfNa}zn9YA)X$tYEsozJJMl
zo_%=o4`(=cz;!b@9~R`bHafwX&K$SM`4q^(b<_ivYi157=i4s4l-w0wHobj^oS(um
z9$&7&VIQvCcY^1~XxA>o_C3o%u5cq(`h>!Brxzdkz^|LM<AdSV4u+do;T`c0@-pCW
z)3m<6utXGPY&I-;rgQER{AjvkxCk!&)cC~<J`kwVR0{L9JaD)G^J_D1uOaOtZdka%
zhi_l`QwvvZ*6H+s-xe7vHpAxZhnq-#<jDOpfmV2(c};^{f9@ioF5U1<cY_GI{uWYA
zRR`gVrS~#PzU5|zVBiGYaMC4_<YR8Sg?M~{?cN;POZG=Lja~5!yuW5EJ=tF@ny(Y*
z;I^l2q2_SE-h+u1c*k7o^<!|B(2v$NxUyEnkF?i08Evt>9^a>P&BXxL{`X6b0p9<v
z_A6=6E!q&o3NIfB8`6faxpH{1!6$fjcaiqT7MfOtVP&m>CUShce{)WW!ijp%G)cax
zU2k!}4BYe9UXJ9WivH7KmWOA?{u4V2*S}qOstdETrtp*eRXd+{hygriFUfuc9`l-K
zw1+FjA8wX`o24SZIKu8?t)YiudBMtL8#s4B@B%r1U#08&o`P?%xh#|G$3N9u+zMt_
zEv=!1AFMp7cY+1!&ni&C>CZ0Fdcqa`)M9JM=QXis{q~0A1xvF3!66c%vH`GAvaA!y
zpKrABED3{6t`3a%!255SuReyq2cGTy2y<0>O~$}_s*N@z|E_p3H0eIPzuDBN0se1C
z^4&+U!sTBdn&2?syKQlBTIbD7lE3zU{yHoLKGMa?Ukb~;O6$mm{|?6NA^Co;M+L9*
zU`-p*D3brYyXz@s8O%|ZahK#rqwl|%eg$tUQKrs?b8kL8R0r2m2+fduwvS{SRTG>&
zRpFcr&ld%2x5Es1(I$~_RqCC6J@9mZKwA`?Qsi@L1g0sfNFw>>7Yy38)3B9-IvdIV
z+Re%v&cn1>t5hVv>|w*ivkdd?y?&kKj~_N|cA|WT@k(5`56Ledx1TYhg8lDW&APyR
zauZQ>u&jOd#A$fez3KW6INqRmfVBUuUr5Ud-yi+gM&@7rHKKoW!zJ90)y~6v4*S%}
z!>j#WQjRdoHj5l3IR7G*3&}S-<sMXRh8uV8IzjT$XT`Y=w8C<2te;5SdcJ>o3f}UF
zyMe@KEn3IF!FAe)<RV~su{#AD8juf>5EUW$d}lwu_)YL`Yww+8{;Hp@Usf8<U%kai
z=C4{QMhzw5q6zi*Bv_WZHc|mrV{$Aa$75CKO^p;xck_2vA?z1(RYwc{`+~ac73`6A
z@q`Ba_Hm~~C45ZGBvlV)Q~07x=11b59;wiVZ}yZ|kol2VQ!WZ)Sn1z~29nQ~;-qIW
zgf+EN)XDj1w&9zVIoxrp$$A*J>naa4f&+G>_mKIWlG=!7OIU;V)i}v-^St-`Yz9BF
zNwEJ8M~rLo+rznYdFOw@I@&x6HgIZB^p|<~UHHOvN0@ddbAAPGHExYMN!nkJb|=@9
z_1mWd=U_|LEPryny`1v;bq3Bfk6)sOwQj3Qxx)z>Yr5q69`{XYwSvnhm)pqoT~jj@
zLcZUz?aTkj_`y>+WAq68`>LQ1=?|51e&mwv>!#;*BK0B$7uBDff^W|rJwf_EUD<kW
zZ}@|fqABUmg6mkfU4-YgPV15WkNIzGR3Loc*jR=1XFgg#uZO^z%27omzC}gEFd3G1
zzm!hmcU^DDroxix4|vJ;4D+d8%^~p}`G?4O$D!xHN13qRhV7~L@DFF+Q+2S(Zi)Oe
zaJEd7Zw)Mvbv@%e9Nni#*$yA>OD`t(m!OG3mR9((RhQTW*nIP2>u&hLmUYDd*xN(Y
z^AkMbe@f~GTx}J%G7c}Pg{zVLITht0`p+<(<h!c7uwUc2={I;^z}))>@YDxy=P6jU
z)wM1PcBAN-UxdX)650~rMb(pAe#24`qq<4(#$0-Xzwmw!dW$qTS3k;O8J0~>K9&s|
zy`TMWOCz4I<GO4}{S#xF$A--?p9^naF`QJoS8E6SWzu}|HS9kZWkUyVbj&(Q#=C<e
zD$jPp>2@Qo@8C}jB_#}SYl!ssMtDusZj}`_+T^lG^6^XpAL)0&fkTa69q@*V3&%O&
z&wXq72~j+6(T_W`!9w=-s{`=ow!l1I*m5v(^EfPcYvwH%EM@LM@fH5^Lfk+c7W^-c
zZid98A3KP`4WDU3e!(KElIha$jV0B`f8d+ik18c$<=8@oRam3%&;~`g;?R$M8}Pi4
zap&$XIXLdRLo5}{p~`Qg2KPiKyx0my>H2#r!+X;oC(^@}XL45z;jEc$W$bXCk2aqU
zOr!Nsk_(n7964tUpBimZ5rjK>_^*-n(-UTu`{9486?Nut&W4sQ894Br!cQYuGjpa@
z5l;DQ=X(l{s23j4fUV?X?%BiT?RDl_u&1Cv`&sy@E2X0WELv|p<p^&SNEkf^j}Cp^
z?+Ra6ANbE4PVU{U;tX?V`k%9cf3T(8_JYS-7H^RH%3S@WTo*Xc@9DZTY!QEL-Un9J
zHRQPt|Em}lCvm2Bilm!x<NPUK5~mTC%MO7R0x#e5ggNbJ1<CW^-EV(CUV`t+?LYho
zUhms6brJr)XEOgW-0O6I|24SrB1cs`tX29{IRFk%PbwwPm-T*ejrZW9y~B0s@Q;lt
zLm@D?Yl=!193jQY{SdBFWVa;suXMq@dZfMWr|B+I|2p<I;eI6Cd`NJN)X&O?K1qE5
z*Lttm)x*K_^xvPr!A8>OKfs;4X#PdP`A5Gvw!^#c%>|{wNs0oVy)f;M@%R+t*Avb|
zaF$UMUol+TDBwE*E6fzh6~I#}biYad+}xY*+ACPC#gKwLzxTP(MV7+Db23-R^Sd>>
ze{VH>`CmZD65Qx(`{Ok%{MzakdHz3sS?Xd7JT&qwVk7be$LN_t-@~tX!$L^@fMMeo
zrUBT`zUT1{IH9Xjuoo_V)xpRJmn8AIj>0c4?BigC`P!Fm48g4l9IPZC@`kpK_9y(t
z-Ib3I&i9Srn1(GluW*oj%Gqbf(^p}wEv*N{;7%R3%0F;G>_EB%Y$<kylClZo_l*aO
z<={jaWtMfsd!tSAl;OYWf1hqgd|+34#SysZzp}!u@Sx;iG0E3&*7sCkgPWQqYK`Fo
zEdoZYu>K<x<>T-|>y5`;uuf){t_}PxTOyMkK9{wqN%Hl1Cgb9wuvVXuu@g+~7NI2!
ze__1R<_xbhPKHXtjWxXko-kMFy(BT1HJ!%N2R?2+Iw1=$cR8LW`73p?Tgy^#56egU
z>+pLY{+n8Gu(ha55KJ3X7o`ES7dw9oA)jAi9MFSnFTG#558FFu&1l00iF&gnU$)`5
zrk@pDayjpBJZzNId(RwB5>j4z1}Cz*F+0KU_NH#kfTcF93Y~_pWY1mCg3a%%ySc(a
z?3Q5#aC&$1O=p<aHjB0xo{wN`@PcOz7<avf|4Kv+xWkc3wG1TRcUham@j5J^CCuIk
zR|qBeU4f1Mgv7mvzup;neFrYN{yVK5o~W~EzX_L*nDKSOLb^|wL*XA^-iQsreN)@^
z2g4tJ3+4^MGEel}?!%1%krfm0lZUTwhQYzo6tZ97?H<eT9>ZG7E}A5N$<yFC@DNTB
zFjSd`Kk)WDJcs8rtMpc2$}(lYBv>LSO^xLDFW=r5@&+#c#%@UF3*zbh6RO~CrG1qo
zU)pnQ@bVwnn)~E?9(dhDBw_(}y2zz|0G|F)YQ6nEo}VLf4aH$6!HphU;f{Kp7D-ss
zN2G`e=CSMTBl%e?x(ki;FuO8amkJznq~RDBeCCe)PXoB#RrAtb_|dz`^CTaBS?+u#
z51cgQ<7WX&Pd{(xgwsBCdfUP@0@Ida@LtNZ*B#+3CU!Rw_|xg|WwM^=<&o=hT5ymG
zKQ+lm`|4*KXuxs)sg!=OHU-|)3TL~hY`+GNt8Je)g2mo$x<~TSo<D>{t>D?sp*>l!
zCU<q(QP@VH#4-b>QOk6|j}xjexAlkC!?NNZ3MJvD%(ZQGurFVQyD)66vCiKPC)$)p
z^TQix*)zy`t)Y<&6Lwg6H$&|poNONNzZ;%vIH=JNk2!}+ll|4B!({svHsQHoPYZ`m
z2#-v{kKZ}%-2jgkxl*mdwyOusmvMYHC*KJC1KS<rX8Hy1uijL)6YJ0RR;Qergf-7G
z$T7khU!JlL!JI|s&WpezpMJQu!>1gbz8!*Z^33G-!C!^8ZBT~ijjr{5f<Lh{T~~$o
zXI<Gh2>1SWymu7NuvZo%?T4e?X?5Y-<MJ0i!-~gFh@K#yk9K<53wyWv<eY+AHk|xD
z3g_?n_Wcel#8+(A0ncYOxZHw09cmfh!?g8B?>vCx)+prO!YeAgn<L=A%{vw=U>>j5
z11WG+XZN8(IH-Ij;{}|T^wx*O>juP1a^NEeOoPi{srFNnFX1UJl@B$rtXHf`DZHDu
zd887qVg6WE4l5lf=6MI-I!x1C15<m-OV`0JvsWAH;S$rW)ntEI^1b@>0ha6z?f3}S
zDy$l{!Id$dEM$K;%u3mH!!5o)gu3DXiUS6F;a10X*I`)YYuVQk*z4KR8w0TA7sJU3
zxQ>l(%YSf<NW`ycc*o-_Y~NsWr&0Hxur-hE337ZLMK}W%V2R}>@1O8~mWwM(@JxPM
z=_1@~RYLs_Hk{niJP$`ab=^pX^{VSj?~JK%{;2(VxnnE5d`9RDC7fw8aF-GOU|A@(
z2X3(7jb??<j&0Z61wUx(yUzn(=X5ZYfvY?MZ?nPG9CWJk@Ljj&zk={Dy#tYsaBAg&
zEr;Ni=K*Oa;fG5C)Q4g1;Ju<=aJF?QqXPV3&sjBhm`-BH10~qVRx;2RPGR;=(1fY<
z{h#>2esQaNkHW04jtm9B#TU6%ZQ(MGjk`#EvZtt;tQV&Bes4wMmQO!U_`rcb93s8p
zp?((!UwDUrK(9Y6e(y>!S<mcOlE6UX>(6;MN5I_OHpfYPBX1`MSs(p`HOBt}oN@ie
z(?r-+)wKEw{6oAi^98JT{d~t|c!yG`5Ls_+(!s}a3yyXhKTOtRN4m)fU5A&KjU|fV
zV}<E2@54OGxyrBMp}WO(VX$QTOSyNj7)MA)E?jNCQ>z7j|08TN3wEORsq2KV^gMg{
z7M_(JY8!yXs}t+qz~5WDD#&{GQI4y3%$hNO6mY(gtcU;2;TU5APqClYVuVxKHw{|D
z$8}asSm8<ksh<|`=%y7Tb~u`q_u@HX%|~{8a7+Hb;4|<?yO<#XxanB@2RFEvP5e7q
zk1u${d*nP^Ga-LY4CdLfoyP}m<Ltg51LvF^J?shRMo;{fgVRheUAhEU8eOAQgDt4E
z?p=gqd>>xdfVH`X+pfaT^A3jT!t5exWB%}!+nRI+@YV|o{I}t2a-Vk}hc}H-$lidh
ztJb2;;c>&rfDl-3?n#OryvAZ05eO%E3@1Cl9WfVKqT!{oD|yavW9%WJNciTvwj6hO
zg2v!w3arTE^@_aTAX9Tg-7}c0roGG`UQ67gQvgeg`PScrBX%{}<iX*#6Lmo_z1`q=
zHM}x*?_)T8mj2G-YdBW2$?yUE>=vC|J=`npWfKF_K6<HF3&+b84#dJ-hotVmhcnA<
zzCMHF;=7U?U<vW>Q!n7Gi-SVF@STRJ`5bs?-$jKkxVuekt^i&b_pO_Roi2S|FNb^T
zw|0-g+~ty2U&9~#?y^q9UZWFt>)_&2R^hKOTTfI-BkWkoSojBi%BU071}{p**Dt`2
zo6?y(;Jgr)E$eXeO&jh$SnWjI-c@*;6Cc+wd^R;SdFu!Cmxl)rPQo!Iw8b>=WM+Zz
zclhC#1$kE3@t%w9FW5@L-GBvlTUC%=g#!{~Y@}go_J8Ud@IH(`!x?Up@X79S1@b<Q
z?j^m{GMHJnRg?#A82a(B0`@je%_Z?apZ3~z!biU6JtOf~Nw0N!;NvVoiQ+K5Bi#s1
z3-Sxwu0K2gi(h;BVJp1*)TalB;J`CpCTws3WBqL*cwLiOl>?sDb*Ccl|8Oz5cv}Fz
zrf0Ln3+J@4c<qNz(NOye!0(Ru6^p~WEPtNkggef$JU<MdiH`op4JR1-O)0{1GX8^m
zVUL|VJ5}KMKRh<<@HeN6yR_knZyOAE!PnY$Y|?`%4`#Kp!r2eKj+(+--0r+#gg3=)
zkuryaBo3-F!xJA|F4@Bm6}tI1!#YV1O;5vPrCj`UaGsa-zy)~ww;#JV!Kx>w8~xzt
zha+Q1d&OZxx*KpuiFGIieAjho`4+s_-Gr6~KD?XuZ9M#lkztL*wZo(H6Jf=&x>Z^@
zj-RKx240);`MD9Md6A!82cH%Qaoq|}*mqwXghl)gouGnw-Z?sszz3hk*l&S9<nm9?
zz_zxsJ4SFmm~*NIP`2X!((ou^5Pn?JC$o%rK(yi62Kbh|B;^Lg$3_ajkoTY1mNZt9
zxNzKTemXqHchY+k;$JLIij(W-+o@U6HN^Wye()y3Kc49Aqd<In=;ai0y*XX0Iza<l
zaRi4vf}iHO$!~|XlPPG)^~-f<Wr_T~lnzQ|(jV#wn+}V?tJ=@2d0|HF)>t7pf6_aJ
z1-{<0;esd}n8L=l6Mp^cl9&L@?09?EHh8HmjD0_R;FDMkEzH5baexb6ppU(~5gxT*
zY~+P?4(V;Bgy%lqxy=S!{8zL_-dCdRbl;N${+>E=jl8c!Lt^{|HC(aXz-t;dADeo#
z1^(-7dEqm>pcH@SE5857T_4Z(!#?BDUemC>{pRx@;e!E+j_+ZyV}Z6!uq2C^Q46ef
z^V^AP`0(^QwQQKB)Wf6<?zvnbng<VB7<H2STN)kne=lHqy1sY0@cf_E-VE5TF}0E0
zAL%Mz8$E%=9~`PkhV#c0l*sv1oW-V)1TQoHU3momnM)IS0_#8N{SpPcSH|Q;!D$PU
zDdDitE#72uzs~BSLkTqUm20d#VKAG`S^W^WUiAfYAlw=wCwC8Kb4iN21)FL=S|sOl
zyU4+i0Ql9|$?-s#VT&;BW!Sc|Eb%I=t5g2h3%*cz^B%b#d^%rW@qlH@dX8R#Wg>Mv
z&cRe$6AlN!8m-2^&cI(}XMcIaF?65D$#}%&+somLaM0opM>1Zyptd2-4R$XKFgJq>
z461@WVFms0UK4n%eVfKP`1e=6%iM6qp2pW#U|nIMWnOrH&~*y3y$;*&7E{7_KXGCt
zoO!`ol8o<s=H<r8{(STI^6V%XFK(T>kp<@jsk)Q*jZ~gVuP=n-)!xc9z{RHbeXC)!
z;G3mQu+bf}iUzo{Q^=c)r{k2}ExY0KxBY%Uhxr|!Gq=KVmb?2N!&i>l|NI0`Tz+dF
z1FJh76erjB`PcCxWIV5Gb7*M-zAvhtL&p1*qLlJK;KKa62fpxR#8aku_~7=l^q1j_
z^B(4_@a)598@%Dew=2}wVSNvc8y862EIf#u-^&`8z1?88;BIeneoH-PoAZF_nlefm
z;D!eMiF0sF+|2Wx@a3nEK9lz6w4x61!Rr2%pU%Q7gZ;Y%VIh%RLw8tnqsh1m?0KM7
zmAs#1^VR4!b(sElQzeNvSJ1`Tz^@rb^GLjEuThXaEH*oJfc$?-&pKm2m`7xOANl{h
zC7YG~VPOa3z2yJ<Zccv}3U9SE-$wp_;*RNpaJY`uEri5R<XT=$gDXVO`IC5MT)cB8
z97i3xMB@C$G*WeNm_ooe5`V?3%l!`4ZIp0whQ+*C&$Pk~`kYn{aO|X|aXV~k)zf<#
z?tUg1)dyRMR=>A{ca)sDIS3cLzMy>)rvH5S-2^Q4*+QPYZ-p(&v)~JCIkWwh4LmBU
zx;O*pS2ZOV!2DJ(TNmK+;s7=yc<S~I#&tOOgz0u2^7)mbb&59RZ+fZ2^x%|7fofY|
zzM@PI@_rTxrO7=z;PRbTGb(VQQ<>c^xKfk<vn)*YbX;c-yh)(TUI8|eE)C~~-P7WY
z4#Ow6jb7%1&u-EEC=Fj`E~+{Ro8E6N6oTV!tVKz{6a$yUh2fWbKK0AP0iO@^^1;<F
z=ie#8t=Xf=0`Rl4CR!~xX+umTCwyk+%c3?MZJ@@)1MfalC1(tm&;O=kgTod3`Hz!$
zs?G-T{+L6@gK|&93zUoVtZ>lGvsfoM?cmFw<n!#xe=<T~S_Z>W^7+b9rl@;xO1VJ0
z930I5xo!roTS^-t&)eePOMCu<pZ``LIs&)Q8Q8DEDmo3*`mh}>hxZEX{B!*@IbNP#
zRPT5`;`u$%&78a+M}bqefFItrEO6Wce&Ag%D-Fw>ynloouj3Pc_~hXESl4>eUY4i&
zoEp4j)Luf4SB~WDaZUIXUG8B+_|jO(6Ma~bahm{n{*Q^AymJgbuKz8S9B<?N>?RAC
zB3V6J9o|dTS8NSm5MPTV?KeA}Rdj(<6psax?^k=}p^!Vg_VC~)4fxMnOIKg`$AA8d
z<ak^9-?Y38H<j=9Ch_uHJ-m<Lk7Bltim)*U1w#~U_eyb`<SPn?-kCmyciy<tDFe^2
z{!n=atKYRXk%!f_if(7XsfjTfk}wBvuSYiQA>>yl1)r%&EGmNi!g7m5;X%bWNu}^e
zbeM!VyjMG9q8b)6is|1Bzj4^%+753SJ7-A?yM_$C?1SCT+|$_zyH|gWAA}oxZJRd1
zJ55VRC*Vq|=&U8=Yn-pumwksF=nrT7g{O9%R#}DJuWQFHzyYG?gx6t7CRSFG-=SlW
z^`LG?zM)-^_7^PJBxkb)KFH9tnY>SEzNCMg70$lX{^uv$CpOT=1|Jho_9g9El(Lxk
zV9kY8r|+<zWyU`N*xBjmnHe}WUOPwzmj0|^PV!G}mydYM!$oN<-K2eGK1-=O{LO89
z!#I5M5X18$@W<j2O)OEZG41|5WdP@B3@66G!AIV2afjuYAG627Y6UO!ec@P|y}!u&
zgV-c?GF*p81U|S2!#2kAror&g-t$JJepKAyrf@hM!p-_I0Di^f;1LCj+{ny#gDp=^
zX~n}5?#B;#!radrLsMWMnLY*w*zcf<Lni!o+l~9Ael&!FH?07UQeE;ihXWfTu9m?(
z>v6M|aNmIowKZ^qrO{_&IPoWcZXN6pwP1f7-cU<7*9`A&H&xYw8L6F`+To$!3)R~2
zYiGl4{V+wW)-#g-)R=xcF#?aKOmdL-7ajf_B={AsqNn(@2X^=#Rl7(m{m6*a8*B95
zrv3--WUCb40qfPL4N-OA{S89;`3&#{jcBfIaJt{Qha2I1*W5phu)FIbJvGd6HBn(N
zY}I|0lGJPW{Nfj6C!g2ZdY#lqn|SVa;fLobBRoicSmaKExe)BVxM$`sT;&}RCk8vO
zJ{ehn^92}#B;hyie0HSX`}iHIW(BzF?=I!<@QEzSWHq?OJgM?OSU+}QQiphiDR&aK
zqVs6ihcjQr34bMac4Rh#=K^$oHp4q#h}NBibEsR~Nxi&IwbV6Bn3qxN1gWRbdXeaC
z1IH&HaUk{fj{X^Ax^PHCfeERvRgb4@HGn_-_-K|7%bs93q68lnR?*6YpT2SvQ-y`T
zp4Ul*M_t`A4#5m6!*WmIHp+LA5^(&3T}n^jvne%nJTUFXFp-DwlqcgKKJs~I(U%dh
zTjaK)eekk%YEm%#qS7jn6Q;hP#~lbS(VANChLyh5GG2qfMZ_N=$3v#TEiwS6p^4nU
z1P`T5-o5~reeL<d4A*c)QG3JBLt8S)@$HV>wnXZA=^N=D)5A%1wSJ`Dx9u^75e+O{
zDtC^ofB1V)USTUN`{1REExg->y=VpJkNeXDwxs^|r=m&X8l0v5->?a6kgI0B0NeMR
zZPSCl4R{^-17DOpXru%4`JUJ?3m2+osH($(6!(72!3jp*bt>@lcfJ|l;d^GzDdO;l
z?X}lP`+%47{D<J`p-g#leoLp7un56H@lE{G@KV9O81g=%6Hzb6#$f&ZG$9=D+{^bZ
zlW_l+G1`4_MOR+P5ZpRqx5^B&>ec&<!hD8GSD4_oxb#E4a8<)AS5gnW;#$6U03QDO
zbY=^j{57_x1O8MS^>G#RedlZQa!C7Gk(<V(9+>(___>d;#r-w4IXG4Sq3I`BD)-0R
z8Cd488$G$ckKaF6{1r~OcUx_Nf7#nflley(S?$t#xTUsVU<AJMM?JX_=GW-V7=*X4
zvDuOSqfWpmwhQLp&7@8G58D@pPd~!OZ)<8u|FibIEu7R3tFz{36~ofcI_VqWshT@y
zbKq2t<CNrmM1`K7#xLQpR=ZoIp4eJLV|zOMp=HFo1m0+LV43u9b|OC)3gJqFzeUNg
zPp<n^Hmp`UoR|vd)!cN-gy}|etP|j8Z>TIu{jqyW=#eD2=A@J@S$`$*gs&<B?hL5V
zkA{Py*U}%t`Lz9QWc^l<L!;weIQxZtO&DBJ8D|&<&nl+B4ThKh2sZ@4yMG@lz5$Db
zt>j;W1vrAr1K_H%Kp}EJxHZF=c>$geG}!3{tK?qH^?<)5cZHsWJ7YE_o`X5FqAxna
zeA5@7JHl5>S$~?qOEWZ)ws8G&SFagdZKlOy4X3q7Mw0ta<X|7QDLmn>cg+Yk;5)U|
z5N55bUsQqJ>X%l@e7}2~?`Lv9vq)3DO5R`8z#^VN?svhBJ#M6adZ+G4kP<v*&Hqat
zPW~0GE(I$E8+9CnH{PGztpFcAlV*AVo>z|Rlz_3SMUxlaoGD*T+AmN<H<0=T**i0r
zMPP$4;j%rju5RdQF<7`YRBkt1ZKTL01ZNL$9bkZ4ygRoF!-14F=}fR-1kW)^*ssO)
z@;d4*qV;=rD3Z7`^&bkv{r3u)YQhF=%zbl+uNo@|>B7z4nPv-cY<`3**?-=ZS<+wN
zR-R}zOW0&Zv6!sS<Y4+QknI1Cmts+*UgUT67wfYy^`{!9VR)m8QW80S<+GAhJ#f$O
z(!1pNJ$+DjgVdXJjBjtd41ZV?|9?G-uuNe271(ayo0(3;nWKi*?!X&*4~(|Jze9|_
z2E*!jnf6Dx%`8*+0et)#hd~o8_ML54Bz&Y@Ub_{Z%>9r^?(gD<mxRdr)s?O+A9DVm
zG`y8o3%{75Dks-hhWbEs1sr_R<2kv$E)AYxu7Y{KH+`vu_i?=1R0>~N74IO|Ymk)Y
zt#X)Q{vJycY^yTrkOf<Jm`%6BoeEB$bKqR70?{6rws7H1A}s3TK{W*L4yUY4frI9S
z!hXO#zm#)G{g4qwpfBkkADZVr$%p^!v5XZ*e=XGA6_N>$7QVWD7=FC|WJ3X5`1*|z
zxu5N1{WSI*mKVRlZwec>I-Pg{_gD7)|9*Hg;o33s|69xsAGb$bqkU)VGuX>0{K;83
zcwQ>^5uBy0=;jJD(ls3*^-V&}(FGS^Hv7)K5%77=>3Bbwd-3!WQV%t==g8;l@CHuL
zOSj;H8xzHWaCzLn#XB(lHr17Im{n}8+ZT?=`P3Q-`#cCXy$ru=5@Sk$|0dkf@P>E)
zxww`HzX_nLCG}g@x4Kl*Vfh}40yp^IvE9O1u#;q{s3)we>+4Ynw+vq9Aocl*Wu;an
zuzeX-0;vyvz_lx}3eL!#xpx}=c<^}08#saH60H*~NnPC11i#m_Um^9vmHD%!AK)Bj
z?*-DnFYKkt5Zu1ac#_l?2dsSGKMK1&U$Q0jXtqCS{``SMi$Ca-dbJq^^|4hrtBOH`
z)GMD?t(a%~g#Pqczr-oH;ql@S2mJeJd^U*}WYA^Fz(v2U;z^wHv({sISncq==(F(c
zEfnl}aC)SA5ZS&NN;w)s*sFSw$^o7}5T$1hUv!E1Z4LjAqx+7>>V4w?ZX_C3Mv08d
z{!(_7lBCQ~WQT^C9g-1|RCZ>`j*w9ig+xV!Y%;T>qzFm;KKJj>_v^Zz<J{xi<8jV;
z?$tKQ8pE+{LayX|^G!vrS;20<0(8m!d(9`JPT9a6{@Yvh;6axkG0rgMlk6~ZKYC?h
z{2?EBIfRRe+`oTfO?uf4_DvD5VuDXUdU`t$wvK(O!~m})sHu9x$!E)(`f<Oant*wJ
zIBX}fM`H+9=53jagT0;d6v+E8>IL3?PK33qS<61d!x6GP>F}^#LUucRMMh*(7W|Tr
zlApZ)BA5Pw))V*x<#pB;SW_=dt_ZGqrpHL$H=rTzQe6#GooHCYZ$DL6OIhaD!h9mq
zJ|sUvu6?!<K6m4$I=Mge@q?)R4!FB;x~>BL@ASr>{V-+mq<bR#%)u~l2LAICkEp;m
zINILN!@*CMKZU`+<UNx9z&~5HwIks?&!2;o9a#S?E&mq?YkvxTN(<j!*T^OBbNKmi
z;}Ro$C1UCpd7s3yeK8Ge@b!wME$(peF4mj$FkOLfuQ@z$Q0*8yTvQ`(Y6^ETzh5Kq
z*2l~uCtya2o>wIP^qp3=8honSoPr1DdG2>w0KQlj6)6S>j~0Fsg3A<lb;`iXWo}_x
z;hqYYYe!-4*aw>#VGnl7YBe}<*ez?U5c8wzE_oApmu$rDNtmJRsqcB%lll!sFHEbJ
zu44;V9_;n)ga6Zzk9C3T?Y3&Xhee-->UzUjRI5$3@L!D|TV3G<4|$tJSmnA%@C{hv
zu)_F#*r~Yj!yQ;4Orhf*-1&;<SvXA7rl1=Si<!Pzii5cvWtAdfAsUu1i7+p%vUCz`
z%Njrb61ERBGsuD2B`0}H;OKF?_FULZI_P30Y{ug?Rt!(|^ZSteS6UATOX0kmCNzyO
zO;*8=O8A}45@$WEe67x*8kS><wD<%|>-YH9!FRO;J)2;s!QU$%;3nRxSDo;NgS1;)
zVZ(Brwl?^vr*LRHY+W|a-UquG98CHQi{!hB^}x@MTWueJsk%414#NT2?n0#g|MExP
z8i4E6QnM!Ddp>+k<FJtUv(oQyt-zzv5!mO(sMH+H{a8k52DY1CR9S+r7nB^Hf}L5;
zA6bPZ4L{W_!=>?8b*RzaH1X<#zu_xq=hf+89w`g!jh*;^`k$?)q(7MFb@)=lVhN{u
znc+bVvzjgN(F)t?9q=)prXD&tfT7r$6ZW1ty^9%EIW`t53<tjxP$&5=qms1beOPJt
zbHiC+_63a{Qt*j%`Ya~c_C!jo49t)j@pT7$^>f*yLvRnx>^d8~FwC^~2+5anRN;ng
z7DZ%KVcEGlV@{Z%DCFr$SWQheWe+@hBE9w$Y-)MGgcn|tx2`$^%az3(mVm#_2DO;L
z@ta1^h{GCQXB#ZwyLw#%hhY<SuRd#7dVpu)Ak1xV*hTKIKe&UzR}(&F>@(>G@9o!(
zQG;)8vl}7rbJ@S?AeS**$sINC59@8bDtQ)u=y-RQT>r-WX0NQ_;rP<^J8-c{Z0iNs
z%m4KX89yF5xEo)AtKWUwk^qbLKXP`3=|X<amcR_#60<ttzO~E&a{s%Byn93stP>h$
zPzqo3&NTfAw{Mp_UI@nr`KvC#QjCF0&*2z8wU!NCSpS^byN|pd>GHST<+L!x-+F%X
ze1!O^rwu~zGXV*?DmZYpeV8A17a4h84S!gW<`;)g_o%<Gga5AT9u$Q?L{O+Sz(u^p
z{!(z$Yg_$R`0b4kvHRhFB757(cs|u8@c97DI}rB&_vLj*D$L2iTUIr#1`xlrB~JP<
ztg-)v+ZZgdH%t8>-0+L;`wV=1t#JDpczMuk?H4>LRwkwkuj!6^lKbU-jmuYTVU9)P
zQ1X1rbm~hcYgj*k*?lLxQL^t<Iee!jz={QCQX0>yfFlgVjmh(1d{^0D48TP^(I?qq
z<-2@o!|<_MClyXuMX^lyC$Zv3Nmlp_a}CP^tdX3WPvW<arw?!KMth0PCy{u{YF+~)
zd?C4wl?%=|6&f!D*C=yRv%%G0qXR_Yd$lyaB%W$=Sz876^i#1X@rE9c11I1?Mul+_
zkGIvPv4H;@c5El{#t&zISiu}pms?2rrd20A-Qe+ONtL90TWw}7J>dSGk4i}S9^RpK
zi-)t>>M}_A=8BojlHl?&4+crtzH&<AH*B%<>Z%C5y=O&c89unDaCsj*ZR=G<*Mt2C
zUG9VseD`>0&KB5QX>^1<pJ$=FQGyHJ)z$S$0ABgd#>oS-9%5-C&+~P-MQ7}T>jKta
zlIMxex2A?k!sm~0%L~G3B15eT#GhycdEo_tnOBPN?3TS*<oUdhKZGe%;k|j2*Gc^b
zr^|O}z)~Nm)=7DU|6Sd22ENce_>B?1{mhr@ENtrb$8H<k>|3RJ4zB<B$#4ri+4g$B
z6`VOS-9-;KZKb?o2dmtve7g~TNI`M#G92o!caYR)vcb{kaj^Q>T`f}IEiVo=#K7&A
z{c1e$v7M!QnXvE}hbbw4*t0yFG<ctHP>UQ~nIWs%2d4|PeK`z|eBd?hfom3+ERMph
zC-qZ@;rE5rS_<%tio@+u_}*|pJ&9BPp*y<@yA}$TlDK&f&(U=_B;QtA5x&uSI+(T>
z>#6sfca!y7!YLc4&9MGa%~bL{h;!M4XWQUiKLf9k_VsqG4A}u+(|+^+=QY)A=Noz9
z?-tV?+=$2P)1?Z)(W(5W`CyZgBV*$5p!IVlQhpm5)n*CUV^vg<l)w2}iGecw)%BUk
z4!AzzrP6WuT$N)MiL+;&qc?};PkxIgapeaWmMq}nM^EWVdk3^`e0vq{IwtU!#0T=W
z6!^gJR&1}5>+6&E(O*Gu{7BCw(*CXU$NEEH%k5m_r2PXVy?G<y&uTZ@Nc-<q_ud=>
zUt6u$A?+W#T%>&;PPi(5n6&@rf`S7NVftL>3ex^`P2)a~;14dXk4gJ~<NI>yF+4kI
z@QCD}ymRVDIqYU$6hofBVMtT!tsthBkK6>02feUtf}acB@uh;pOo}u<!BMO1-n1lM
zzN=#x_WxvQO#wUVvQ>@3iC1=gCC~R9=pDG)2Uj=RbS=W~8a|yLg!Ki44Hw|IzVSR=
zaQT}1@$azShu}@Ua3h049eKX!cDDLE^7ou<Z$2M|xwNDU+u>z#9oa8%jKPv!BTRF3
z|5_s~({Nv?1AZ&I;W~MK?$S%+F%ow>-+O}07w`G|(@5Nn`o)K0_}yxp*+*FO@;`g>
zyw?s!ui4MA1aq%bD17bI@WlprS%t%ltbZAHC7mMm@%Sc{r7x^>>fd`(U!y(8waNOo
z;7oDRYxqRjAw3tk*o#r95LUWg_aAvaEz-&6?{j!ntFeI0&k+)=FY@6wL8b>r@c!d3
zQ%U}}+#TF!;W)_)rrEF_t@#!m_+%=LYA#%V#6C<5<|uzcnGV-+7kiWS!|-+WnM^ol
zYwhYWnETz_qX+Ol$4%2@{qb+&R%8kso^jfltWRpW-D_{cuV1H_iNjY6Xr6?^(*0eI
zJ7JsPzo92!@8K%}d~lq(TdE4I?$9301>4HzZ<mIHc<dAQz)YWZi<9fesi*M)H*B}t
zB#T^sPZUfG$@@HS`Fwh{3ohWTe#Q%1snJQ%!|M`i?*-xI^FC_i`aZufp-JLrk7@h-
z#CQ;2dQpJ`4yoz7xByS=OsimrS#CP<eS<k4?g*wN`5|)yB+l`}jCLLCLk-E`L=sP@
zI6XqvlZv#i4!>Z}^pp#;@QYW}LesEw8iyX)4?L)HWBv{wS+?sS>($JM)J<b>(TG`L
z7x{c=R|?5DxLqpI0ryv(HyI%oUh61=4?oyHJqO4AzIe6(b{2k-H3c`Xcd2B<w{vJC
zW?(tar)uf&h&9tjGJa~P2*{EBf+~;6j{!LBFT<fYSgzIlQWG3-?51!8`~x%YC)hX6
zNBlN?>tg!**RbKgMa~;=V%V3$8hCzYh1U<B+S@1a6n^RA#o!5_4Q6F3f%QcwqTJ!o
zJrRxh@LnlDzss=JVD0llI4X5Br9G^WbI3Uxwo0MtH-$^I6P2HkxLKmPG3>OPagEFm
z4^Fddo`wY(<R(eJi=LXUHr!#%Z5|H?TYorw0$%Y`I*|nL$+3B(0{>VlrizANzP5fK
z3m<U#+ClP}bQyT0VU~rnkrA-5;^q~8_`yzpt612cr_5&$d_H@6R~YPhlAV_VPBYz<
zcOSMfHc6&}rLSiE$bdr%8*l$D!1MRgsXdQisl!ZkYp_7I!Y)$Y;K6IZ7vYT@G8;*K
zjemXZ`Uif?`bqsIY}+Yd@e3~AQZH2r`<mGeERcN9^Iq>@;d>t&zQdGTjV$Zo*#yRu
zbMWlMLKbPS>YbNmzQTVwro!7{YuSZ;vvAca&koYR6s^^FO~M5~m?<aWU4G$7B>&FR
zljA?&%_~D8BXHoYWO34eW5V{(jKhD|<=s}`s58#L2H-_;LDPRQevH9s7~abMHkAg~
z(+7{groHgy(SlGqIF9=8=RUYnUbC4A&b0`r>wsTnO21%%+3adnx?x89w!fUP*fuK3
zPw*D^vN3L0BH>tJ8~pFFfv_Na{EqK~MtDg_VVem2C9I008NR#NV;~9tXq?|z2VXn*
z@`wz~tsx!s0WQ`t3Q~m6sKl7Rf)k=y435EV8K3$pVJ-RRNgD9H`AU5$tRx$DLmOUE
zkW(#(?`w+J8^DLf{dx1?%WK_<rm)|1S@IKD?UDE31(-{gUoQ&YXq6M-41Z2EXo-Qj
zhP2;%!GeE6<NV<E?1<|DaBOM`O8|Vh=fFEM9%gDZf3}ActjzqQ;SAY@vyQN_>ZZ3z
z@Z9`@gasUxZ5^8mcT{aJw1V5X*gogL118%Zn7|6c)irrAYlbw3IV`~7NK58}aU<^e
zQ*hwms~$2Rf4i>etOx%*W525g4o|$+%>n09@mP`hvChE7cspF-dudlI95O)9M+NWl
z_|`?@a-sB@>re1~Oz*yE5@%X`=lc^5Tje?54gbgdW@R1@>L1J=f<5^UzZrxTw(qx`
zf{kxT9sUB_<^If?gOf&MH+&@VEP-=>VBw(PfMz&(W;%oNGuD?cx0+PLlW~vTY2ob(
zf4XbnSB_5Qj4)@1Yw>fqTXXkqHds)~RQv_ZSNgSi7fdHnPx~0Atcy(911mZe1m(dm
z-x!UF!VdZ7E}8H{{>LB1;h;+@vyWhgNLOY#SZVgh=M?x_)ayU;@PWOZXVc;P_MwNB
zVZX&|D)-^Y%^d>AVS^ltH_5Q|nTPgTFz-96f;f02a^kcO{OQ+(NFsb$y*R-TP9H3r
zy8#zyc<EZg9@_DjZ^Djc$K!0_{$^2Qf7n4V(9Z$(dAX@O03M~*sdb0-gA;4L;j>J)
z^E~0IZyrj%@GVorIe+-!+HDRec-Mb#tApVYm5XsMaP6jhG~w{rov(p*aR0}5-y`7(
zt=e@5`0&m+$wb&uAo#pA{4lG)tq4BMp*buIw`+%#mBD5w%RcUduN2%*eFc9g^;46C
zZR*^|Yhl_bjoo`;D#h565AezWLy7?GFzK|?3Wstwd+vb$ga<Wr!%M2+3p?TV1`Ebv
zxOmUhFbiD%=hD&$oYRnP#t!Re9Xm7w|6M;NO9!7TKe6>EY!JNl*=E>fkze-@JUw8X
zLJi;Q+atdUza3=f+6Y_RqVn6&hxNjioQ0))9G`AcYct$CZQ-&4Q=jOH-Uf@l&M=#Y
z6-OGq+2BSF)6c)*Q<3?v@djQc-osr_C*dZah=@J#ipQOO)39NMONS`@`+W`PD4a}x
zu0kAExaOHK4$oE`rIdpk<32lg!;WmMt%qP4;k(~^VFiO_w&QT^!i(NE*v)L<-w8O3
z%GRJ0-o#L&tOMWv)4dZfBdcz@d~U@MW<7Z$z6K6!RXt(}*N2E~je;ZmzQ<mHpWKX!
z2!}cLt?68bjqkrXeHEVDC`so5Q{R#7_JFfe57&}-XVTgGmhct3Q{E)5ajlK}9BlLb
ztc)X^KR3Rp1Ggq-Zg7V~_u6=C!+C<aukGO~S1&y!_`2UjxC>0ZLfNGV>umq3W(#*D
zZmN-m4}88Z;Q(*$jz2C9KS&Aqb{_8jn<60w>sPRLT!Ld)>JA9O?z7D525{fe_Pu<t
z{jn4YBiNMsat=2vR&@Uxsh`jrf!CSfJ)w_Zk^D;udp0n@KPfUiwBfU@Vsjhe-$8rK
zbz!y#?QR?3^TM1QYVe!&35~@(+#hbiI7RY5@4DAA4{u`Hkf91EpG<!B4d$u!yiM}Q
z=%{Na;nyEbDdb^w1IEH(Sg537@*q6*G_bS}jxNqMBmHA(cXWCOtk=2iIO!jXF}eb6
zut7Ejg#he(%W_*IytMbiq!2v$ZHD7Lob7zjYzN%CVV&kRoFkB^!U_Lg{t#LLo2CY?
zlm5FmZs1A@e5|N%g7jYsr6+%$!bJwPY4ot8)tm7=*spqfC=*Ou6KngJ#AE&)qk~`C
z=IW=z)@QXux4?1v=4Q!oWEN}M3a%$MPY<;?_(huet$*+<{R6sD@Q-ocwQumIW2Y5w
z!}oSx9RC5ER_;C?3{RceZ88K0G$~2=!JBF<l*#pNr72!=4Hl46{MQSQebG#FhZR>m
z#`@t)>__-rVetgrlnz*3!kpQj#LI8qB;$u2r+%yrOdWLYXbb%Gm3x3Cym>uBs10^7
zai%#3=Ph0uCF9Y%@PYvyn33yMG09H~D7Msw1$ZJH>fol0!AZ0*zlXlt7_9Wonte0;
zrTT6eDPPv0+w9+5Jg??)_vSCSBlWc18XTbau94J_WzT7YCAgaQ%~Mi8ldMv0f8YbB
zaeq7NGlxPbcLqM|`t=>D-!6^~0<-X-_TDY5FirC^^CVnaw*4179BA1Q_7(oM;j|nN
z{P*13t0S=M78UN@aLwhE-(&E(I{)(`a6swpF9Wczouj%KoH=;3m*nqan&?o3zqIqe
z>w{%n+FvQbg`Y3yPs1Mr_nWxFED4F#KjEuJhuodu@zi}=x1sz2Dj%0V!=Kfz@p8a_
zN8d5^z{95bOnYGN1ULRau+t%fRZiI1&u{B0T)i*UnZ$1lulBL_<NDhrY{~^&KBBGN
z4!_Pj*uxFW1xwKJ!hEA$wcFv6N%<eU;mMh)BRk=9vKOR9VaCh;qAak7j2)*q{NG$;
zHXA%Qf6qb|etP+-A89|QM+xGGNW7_fWfLs3_|{DYHoR(5xq$K&1UwVcf_b)IkSFaW
z88mWPAATFr+tv<O7YEIqhvW8jYj?q4AD78Ez-}zB`Rn148Xsy`*d(GntpPrz`SheW
zyxtk(RRNpavtz#w{}Q{iPz7%*Of$I!zX|^}^a5ska#i^b++p$6<RzRYR~!-pUrf%I
z%!lJA4fPXYdyUkB0@#^4Iw=iKoz@Rdg*8URY_j3I?y8g-uw8`BlS0_cW48Mq%$dCG
zT>|s=_nnT11Nx+^D`BUdB1a<OqZP}Ks^Nnx?60EXU^|&__3)NJi${0h+{wkZM!2s}
zb9XrWfkt{q2Q2a=iarF^;hA6Sf>*BlhK9m=Pxh+}!8P|Q-2-8{^WQ~A;P9_Gb3yQS
zOHt=(_)X%jIuAJf`UAx|_)sm)v8!+uV}IZ>iFZ11*uynuM|IZVzR$X`mtjS}z}Srg
z7%$TNuU~@c*7y5tf~|QktlGe~5w35T;Xi`U+l=AcDs|!8;gG;sZ8KQz(&i2xSo2%=
z-cxX;+UYcYSbukEsxDl%8b2WhJKSr%qYlfQJkYcsKBZDfs|B;!`)-qmUyFUOmxE`b
zHQyhFV|Tt&QGi2i?rl+rO|++I_~HLlPrTNH>AYSB2*N(iQ5#HP_M|fEe~<C~y=scR
z1KhjU*MA*09sg0}4yW9_r2i9se(kfbH|+6Euyr05&;PGB5O)5|Uhxec`IP)P7@jEa
zmiqy#xXjIl!Rw5<^k3kT%MGt$V9y5Y&{6n83OD5gI9yW0y&vZE44HfgKe$9UHwc&S
z=>IPp?%qE6xf{N7SD7W3eEwaA!Do2K!+67|@LZbye;?ue1E&0Cu&W4TPBVP7@2Ooi
z{MhE1Z#7(;VK4U{rub<4rv~opuJvh#nT2G>UcshpT<2Ti=?&k`Rly$R?m4|MZSFJm
z7cg~9LwG+t=g6yE0hes@;rI^gR}KGH0zXOpwEhDwc%-xUC4A*xz-@{_tXEPuF+PKP
zraGLdVOs<FKoV!W)vv?_TbfKckhtQjeS$o26yu&@5?>CGUXp_wc<LKS{CiBufCB6<
zNBOu8PP`>d=L-vSyHt_#+SoVodBaIsDhjRe5xZU1fpE>s=cjsL=|>gU{bBF4yN#s&
zWZO2s4}rO2{|%G&Ib)qQ6a@21eKs9~eXD=&4TI&LXt>V6wFM!EZ^I!}Vzb|2dYQHx
z(J(!A3iWT;%jbM@1YE!v?7sw$?8_gChm+%$?ybQdpAM|vgYOxSFj1oaEfx76O@^nf
z^#$nQC%LpHNwCbQO8RD4qf9e3oy0xLUNFOaTRxSiz)_F$rC8za<1Fjha9S;|8YkTN
zGipZ`ocV;~-7YxNsNL)dyj45=^IrIoxt3=x?DFG|0qOs~^LHzr!ouv74&rd3E>%|{
zJm*L~wV!;RMTxTvUf{g?k6d5<4Mox=@W`3a--qBsOM<W8!5amswy3~76VW|2@X9(5
zwHo|z6V3T{_`uTr9Xc@memkE}uzPmVJw2F(J?%{o{B5sTt`Qs;OWD^6|K2bjO~#M-
zG#PK&A#y*Ep|2%uJ=15g8BR`3yF$hr7u_Q>JK@Kdz0?h1roP}ZUU*Yg(t9%A(AJgx
z6N2L{D2h+R%HwCpMBxgN-C_o?&e1!<((og;8{5hFlk-=QNe;ealo><DpYA#n{Uh+l
zyA*z8{L$oIJg5vitMjdB!g0nT0qXF^_g-ViVL`1LYb{u%bjXm5PjrXP<u1Yehs2Jl
z!kvtZyKLbX#vi0eeUvv<OWua7H8yjT`m#th;s}E&nm?Z)<8}0Y5gm<T^k<<iv;U9h
zhMu-3Vc$PL+sJ$oqtSD~63*E%KSkz~yj$FQ=J3wV)n6XK!p=thj&Nvxd1EZ>>A_a(
z0>7;deVYW|>N}+s2tQ}=DTslyQZ`Em!v(2hB5`oZSHY`c@M)<w)(Ch^ZTMUy%zH#3
zDhgKEu$Gws7k=J!@dnK0dCB!5O!LO^OE7$?Hu%LO_*NuCiZkqKcgMaE-t_b`ryJ~M
z_oV0r?D9#K#sTi3KNJ5F&bQABaD-X>Jo;<kqSmYS*068o&f0hIqlxZGTX@4mMY?AA
z@V)F-E7;}g(CjC8dN+;sMfh+7m2@vGx{$zk7QQHTm~sdfG@DN*{p~;Y^Qx0@<MkII
zq(2U4to}C*yPap=pb!6A<a7N6-*5i(owR2<Z@J-b*t|=5h#aqgM)NZJ7yP}cu;1qJ
zKK-JbEU;#c;p};Mz+|3jFPyaUXaku)#Yc2S_~6T){{NidnxTm260m3ICl*h5@WE7*
zINbTWbgK`1I*QNm2po5H%N|m{lELmShv55)>zub>Z|9u9nlQtpfh1`kj{Cn^)!`m(
zLs7Ec5cJ)fVhk_sdUo_ad~MLa>@1urT%$nND=IHym2Kcl+`PKku*RuwlZ)_{=0oaa
zy;H}%I(`Lqol3TN24DFux9$o*rjZ;dft7_%s$7FD?(6V2!WZdBBS>7aX!b!9tRwlO
z!y7)XL^Vv-yQltL;wAA4&0N!QSYwORMH1h2Z-d)6`0U4UKTmi?&cfj*d>}H3?iTzZ
zvodfQ?h1L%7Yx&X7x4K9^DDo~i-lGFL!vieJ$c5t<!v-PH+7VetT(OGK5e=W@1e}#
zXMk4)hj%BykM>xlGr?uSL)NKq>zmp#vc7$KVfuP9ES?-9L)N#9KPKO0!D?^5YVg6X
z0<(kZaIpT<da{0Y9Qe8?4`z$J@>>Ev?D<un<j4CQca?_c4vZu{fxku2q$tBoUacRq
z;i8Uy&f~C~N*!|%Y|ixC+!&71i!>$iYR#@bQ@D^eFs%?)-y|<{6)yfxMUx3f^b0&C
z`?EW?Kh*N!zeAq}L*cs~3D+KxxK3qHINaE3NAm){V#oR;79MDn<9-hN*f2RHz!FW|
z=PO_aI-9^0_&(3%wQ`u|wat1O?4b3r`VD+|teTDNNB1p9^j5(&15Jztu<&2~^DXd%
zps)bh->UVq_<V%D?PM}uz>dWW)g7>cLR5Jb{AKz{Z!65IQSz)7zH-R^{0Llngtego
zmd)q(8G@M>kH2k!ug!PS%)w!dIiI`WTZuv3-{D~U$qurAcj}VM`3Ltr)|?rEE1nKj
zufQRBiQ{Dde`q{Reai^$XJnvSorUX`_MNALzwbyHr^5FO)jw-P)nWcud@X+wfB8ei
zMGN+jFx6ax$6WrF=);T(Cw_f_2g|%pTf!xpSDnV-H_TcIw($I-sWLggpIytBoZ!^4
zJFk0S>zd{~PdH$HDW?^7@Z*i~hVPpQ2$1g^EI%)H2g1U|VT?`iGfCCg!Eiy$tGlH9
z!s}cc!r`%f+#dDthk4tXNVw&$#yqL7H~Ww7PlO*kJ?<y<nf>O@_6P7E)h;9Q{lspk
z^QM{bhU+)~D}!^7&57i~`y`7Vzl1Apd~kXSKYFX@lMnL;s~;|dQ*^KXA?@3Imj6aI
z?4`)?F%{l)GfDS7ygy4qEdxG2;}O>k3talMf%Lb<Tt>}qSY}`#<PID?w2!t0c6@JU
z><jC*2XuD8k#TAR-tgINDUl!Hz$nVZi|~-x>hVt4+<1xeJglwHM%e^UzIK>B10TM5
zq@@iW_+sm#2aA{K-)?|EY~LoP2;1-TJkk!|lH@2-fQQsVS4cd!=v1N<+;!~k7jnGr
zAQLWfy>{Jx@ZcRhb1Rxg1fJ<nx=|0`V9&TE2z%)~K1|9##>8au|NS+0;#N}rgeAd2
zcEoolXVz81v)|3?7~u$xxB`+-7w)Z24{N?nu_g6+VRNz6MtC6MuFflX<a}ExH7xCX
zZ_6{7_SE6f-x$wIk6HGT{QH#FTj${y{Fm+(!A{N(e$T);dsVNIe9Qh1USDBNDK*(V
zlAkZ7LB2l-H(8}FhBIAkntR}H?yFTfFiZP`7p?G-hb>to-|;JR)kpY?S0m?r_?@#_
z_B+_KCxPlA%uo|5QVZ86-m8p-=aWSzp1_Cpjk%CG{nQoPJlM6j@4q<sQ$+v4WH{4A
zZ-pFBXk%De3M~HH^a$yHigXjV$$CLIqi!qde*uOuv}AsgZfVyg{m+f%<=kCZYCY&c
z32ZlT=`xwmqVGrflKQ0_x@AD-yDQd87fAi~`j4IpgBx0mW<S9)LTd+Z!mdWNouvK!
zewaw!fhq7N!7(`EuoEZQ@7jiZJU$6){r8ELtfvlr8*5pDX?FMj3xKVDMwG6=3bIN|
z<amA^*-BeRv3_b(8TN-Q;&lZXU|IV7UUIyKWt(Ddm{I3(jW29>l{tYAmM><hAnP{)
zBca`r@a?2cS=Zpe_!c@DI70U|pC2sG)2F2fs|6HoCiB1JAAe~jc((Xr2-$xZ{JeAZ
zB)nNj&)F4zYAtS|0c*8w{O%6>ep1Lf4QEMoR9%9Z9X(x*V9%1^gJgZAZ5#Z;63%~k
zX)jqHbw%<#yZ|#j*q(L)&R7*2b$|oEG`W)X@PGe|id^CIW!HX?_4I|mw!gh$iL-m(
zkoE5Y!P_<0;Q+je_arPo?&<3V?~vzXC;RQ{=OOBTu*|A|q8$9#*OkTtR+Q8W+z*?q
z%+HYgt%W5tWWTX<4mS+K*$hVAJg_cHyBo<rK3;1~_Ahj-<>HR;C`0Tqb~xsx7@G_H
zU&@9$7MOpE`I8NN;Z#@QR=8*)pwu2VNK}_1`zP+B7hKN65}&xZsNur+ma~`O`u5lq
z3V4mXXq!2#8fA0q5B6sfP3(Ux;Op8GTgd*cHsJR&L)fhH_P`YUk*@SQ$v5j@w48w1
z>!S`Dz;A=Us13p4sWW_}{w)pco5+5?_U^lW9r${<VreIQ4C`0YUN3fhly8S^yMFnS
z_Kfd-xSQ<Xf14k>piMr{Df#FFyd{f+M-|>+NfSZ#>uJFkY1H5g=E>X0e!g&7zMAxx
zo&n{tVz_1W?Ol?;Bt2qX2s2p4oj44)J3iORf#V%I#g4*${)Qb{aQpVGsRQtx$-i0g
zaF+pl3CUm7%@&S@4e3XnWMPTxUfaUq)}w3&^6;Kap}0G+KL0S21bobB#V-gRE2dwP
zf?vrNQU$`UHC@G`aGh(wj5oYJdp%wpuHJOe$qOzVd#@(|mwlu+bb)R8W)29$61zV3
zIl`=Wi{^P@KI@dX*6;-Hr`|m<tBcjii*Q<5%so!{-%(i!bNEhHfj2j7OSAUe1U9pC
zmSKl=%-WLAz!wT{a&o{DpC9t+!CGmmT}<$<a<|PIu*+e?3KrPuhf4TK*wc*Na|?W4
zf2ZeB_@&++Gjjd2YuEc7f}7><xBbI-q2HHkEd$@Ym|jMK_>*Mc8A&)%%+zfeaf+t~
z9ip&%vANM-_<jv%zX1Gdx~X{@KEAf}mIr3bYIyz~?tRwqaVM<TB`q=l53}c%u)zE3
zM45)+(=N9w8DRUl$Y3(RzWVF%h!+05J<y)akIl1IA~Y~-fTRGK|12p~S=Mq;-xNGs
z$^0kes>t~VzUXr;pn^DW&xT)cf~1x8Yq&$0|JDz9`*DWdFW@6lb4Fj_lD_8eB;Vfl
z&%hwu_s28mIc)IcP2nflPg=<RB}_HcD%A`dm^X`)@!izUW3~)l896Xa;%%{!uBGsw
z#m`A3-d|76o&<X}3`kVLp5Y=%@i2e3_ct;hnED$E;Fo`^&mH_~^A?Wu56^XhPrmlw
zL(ZrAmSgW|HpV-xr_77+l1QJ~7dSIe;v=a~5%HU<pW*l8Va0Rs#ToXRet58zaf!6g
zcRy;MI{2tOOEx9ikIyZ9=>weA6aQ@!oU@~@{uRt^FY|&CHXhSfse+9kyjtB3+qjJX
z_X574xN&4ByuZXDryOP+x+_Tf>+r3$$fqzDXXjSZ-z!vtx0b+?Vy1fJdZ0bG?e`P-
z@P>3bay|WuPH--Q>uw7BlIyK=p4aFx{BhaA>JZ$R@~9&Zem}F2tpY2Z5UI?B-!038
zoglU^Jdh1bnpU-)f>n&f`BLG%8~(k}gVlaNeUJ{*^aTGihH0fD4&Q`7R#-+~g4a0M
zYHz^D&v$5&@s57tZ_E|=$Bf8!GJmKDhVF2KGae?jn!q%hRw*3d4$s%6B%e;u!N(B}
zn9x}z$77V<!L0{ZN4$$9^Nataf8rUKuHCqc%rDcr&$fuba-EN)@50T7^dbMjE&G(c
z@4-QXR7%@n=hcJ4$*{%CqPMJYjbidBiJzdPd_oWJUW=}ehrNSzgqUE#K}m*GxRv<<
z(<b<&yuf@q9J%jQ>_+&jT=0`5_~7yTzUz;$f1YuRCda>hb9|W+@fLdao-DYebX?&B
z;;Xf6>lJVm-LBF`*ii{T`3PH>%Lt~yzsp_Iy5N;I`uvA*$(1)I&2X5`W6eO=f;nNf
z7Z$V%Z}o@8<G<vz!hs_Tp?2^mzRw1qVTQR;1{-)w3=eY~{M7SEogN(YZ=s6BlW(3>
z)`vIEJ>4)0v$R~<b^^W=*xxh-(>}izrUt*;_<-dnd@lO#6=hgB`@iLR`0i}foC^H;
z{x`){Sc>Igk0M;&<-L0yj-5z9tptx9JZM8ZhV`^=?m>B2iMdX5GtBj%p!6U-J`obV
z4L+k){7@P$Ghp^)BmVmG9?6%JjG+>M1CNyYNWzt7oRdPZu<yt3B)-MWwCpJSt*f$=
z#Dg!6Jy3!9b!Oijf-UY1Kf4H1Y;Aum18=);n_vSg-`W{>1YS`-R~QO2Jo@E(0G>VZ
zHRdi{@qCv%DbG)NE1qO{ujj0ZES$75O`Qs#%;M4`=P%)KKB5Rdx^+UHoPYS#wA(Xy
ze4|SmDL++Q)Te&<K;83lQoo{Z8@~0z+75iiS7G&qJ~RJue4hUCQCFDtslRd{%yTj3
z8HxXB@MF0TpQB^GPvTP-cP}TyRV5beS74_b9~B?L{ttWqU54AsF7JK}bJPl5b%s|}
zci0reXMR4gu!ZZ`UuZsu_lC{%*~3X}R?!u3mPviC8T`X4-lPUz`p6<+0e_l5mev5v
zUG||jg3r2q4sL==_3Lh#z+<i<jh%3<^7_Jl`09>Efk`;)>LF(-_`Zan!w=Z>ptJxt
zEc{`fV;O#yWuL|im&QImM=^o>y=-3G;(*`m=T)JGud2;bbHS^ZyF$0Xa=J1ztgvQ=
zx+4P|_t^f@c34K2@;N)4x%fnj39jdLOW=Ul-;LI9gDsDU4D!Ke4f%?;z><#>Yxcqg
z4-G^aV4nlJbYif&N5nQ-IQ&r6w|(&2O@HaO!aaAyyp-UVLI2HdfCDrVO^?C7a`z`T
z!F@aFrcT2g2Jf1v;9YU99}QrYbHy*o=g+!oj(Wna{mp4K@WRZCI&b*Rx7Kh*c;~S@
zgZE*V4<lFT$md@z)jWimGVC4b;lSW?+J*4@-B(U;gn7yvB%i_*EH9f$epRWT*Gt&r
z#+wH#S@?fWqvp|SIN~Jrj(_m5F;z%CoKH2D)C;qCG_7{Q8l^kg`(d%w5al5_Ry5VW
z80Jwv`d|)jSGl^O5U!o~H<*H>h3QhG;SF0%Cg)+#vG02$;mn)&(q`a1%9bsmaHrv$
z;8{4uvpn)9e2ePOkqLM@&)eJ!R&72`_YLOvcNo0_zYOxO8HFS7i4<GIH|I)ke}!4!
z?UB6**FKw4`2yFx8l*l8C%$H-pM=BJhHjmKpF|w18-$bi;tf>c+Xv4@jKNR0rt}?y
z-FMtk>xVn9c-I_)Sp%cRNO|WuLry5bqG1)2q(1IW9b)?rZVIU?B>6vQbdrSO#*}f}
z4%qpWXuxi`b^owdH{40DvXK|2@}!|_fz?`;+L>X;>hCQie`$KV5hEPO!gTv1tR7x3
zKnc_To78QCm1yVk)-ur_&1knazz4hPqL<+G@ozs!zVPOS?Z4rT?wfPp!d>a<;}fuU
ze!UCHr<d-s8-uG)jEdI4V+8>Rx?pDBsQEhhQgTIQI~-k~^W-(G+!K}g5q3LyHHzdv
z3uqN?fRFP;XpsJM{+IXCE7)0e4-4r(JO8}#DTl2@WSd^Vs+u<Hd2sB{@_Uu=$)eJh
z9Jp}ggLVl_KVg)d1kb1`vcH0jvkP}8z;Y+mKau|0_4?FYDC}|SNqiaXG?;%S1YR|M
zp<4u3_o^Mc3LmA~%uxzw>lf5}z?(Rk+n>NRx;}+Y@Fl9}r6m7j$hh=nI8LqHIS1b0
zeVytYTy^A^Tmj6%@H4~|R=T(FGYfVfy``@WUl!R_o(Fe!Q1ofQDtEcuGT<v=u{nyc
zbB(mZW0=36Rs0~FBO$Sn3ZE$*WR-?}hD*Cie*bH$BnepDuQ-ZazkBwI1&F|2L6TR<
z_3J-XvQY>w&=K7i2mj1h>)?P(gLoH7etdJU(RSF_oV_Rp&iAkr+yvW8{`E+N(|%Jv
z*$Cg}nB5-*dj>>!FK1x94y#!r$167zr&xp)1D_U$!)0j;6SFXt4tp%ge|sRo;TwFw
zZNsTh*fyQ7^9}54wK*dR<~rnf>MiU>v*&9%e5#9Iwi2%4cKk@{D|_6f2)E2tTS$g%
zBlRhCx6`*6zRJYb`wR|s<X(OT*Olz!sen7Y8wT^?+up8Jq`$SbZ8Iu_gCfIDlKyCK
zc1|D-c6hg$u?aT5m6@6WvtJg}?}Rfq9uIi{%MVx{=z#^YLn%|>$lrc`!*Cwk>*h#!
zcfgDa8Bex^QmDniLZX}Rkn!g5)!2P^;W*Vpjz3|3tFFi4u$HCC^FQ#V=L;U!VXI>=
zyw_nCXUU&|@P{AW)wGkCuQ`uZxx-Gs1w-gztz6#&p70$h^(Ho${mivCWB9D~TO&TW
zTSvpt5LU@bX5oPE^3@;Kg?SD?UF3vydLO*ihMRLki&)@H>798eVEX%sG3>B)_Wb_i
zu&1n(76WV%=Cb`T%;D#~pBd(Tbt?HFta?&=nhvfOZN4E5YfqkO+5#J}#YOCc7loFU
z{-Qh{&$fFA!Om;Td)8oyW8VYzz`GUW<G;hb46Zg@@D8<TZ!*3YCR@#Nz<fu}Nt5xN
zabdD!8yt|XznzTd4^ldY>EVTgGq*p(k$cSQHo^m)eU}H|!%9Y48(^)gnS!MK7PUvD
z{-xvlW4p-Br2W{~Cyp$`f6aIKk@kP-vAT5{77&~`M%sU|c4N#WEOz$sKQg{4Z{BIq
zOY*BMYsvT~R3bXj1#kGr=S#+`gI^9ltA|}SG$@n#?Bmxn^6%jgosd=1-)j8&d0xXK
zlV^rVKCkjhRs}p}#gs_KH%hC(yCra?ZtpcReu)idZhHn7{f(9(<Ja14u|Ih*rSjPw
zWPF;dJ>&lvp4rLRM&{pk)vq5t;Zy2VG~|3E5(`zmVbQaC8f3iYFiK`|fa$(GWFq7H
z2VaXYN7%rB&Vbb4V!V>E1w1Dz!A1IWcsNCe6<lBvWJT&<m%2Um4E$ZBT#)qVH;oZH
z&%#{a=p7ef!z1$)I`E`WrVi=P$v%bNdT^ETpEyeNhdo_(Csg1Jzg?!JKZ}p=d7}z{
zKkA;&2y--E%RT~A3R4AdgJ-p+`IO;brbdlB;Z0#Z-=*L)oeq(_aM(zgwJiK1>0Or)
zT&D0@YajXie;VbY@ShD4brLYMRpz=BESlc+L<By4S8zlY7XETuPz+{}3J^L17ltt`
zaKq0f{J*QfM;^Yu%m<I#ewNaL!=L;;y%SbCtk13kw@BtUalyMLi%bpSYqdL)7~moK
zhkWL+{Lc3*%<uvCzt)%Fi2I9wHo-~1F00$Zzb|FDZG}^k8zWs{S+N!)8hHBoK{t2!
z$mMJ8wD7}EiRC`<MX&U73b^$;?E`<9K}=hU8kVEKG!g={`8so~rs4mQ2CZ*z!)A{-
zW7c5X)BCr?z=zAuoSTDvBGy_G;I5~uJ-=XP?sM#E@Dq2I*E8@&=9=XUxM%d`fmv9a
zY0r^-Sh=@<!!S&hI!yf(&fy5~8-eThA5(t`%W2)c&<6)KCI43m^Hc2~9Dx5dQ@Fi@
zy}V`LcEOPwjP&c_nT%e=Ubxny;{GRi-J)+#8!T{qn_oM;u;!cG0W%AEyzPT)D6ZXT
zf>k3vJQ{=#u<ZKR0#A>KeV>3|8L^Gl!?PoPEnnfB;ZoB^STlQ+?HByt(0!pwct*$f
z^AfyAP9gm@-1KOamtqR*GilCbFL=O=bBPP~JetOS4c67TtH=*ORr~tH9NtXL{C+>o
zF?>nT5_YZ)-YO5XF#P$Y2dnQd`E(d&yW-}c4+{s1Za)EstS-r&fZ3Q%^=ZQF(oV%{
zu+#i|K7H7!NHks<UI_1?HiQLD)0vLLTShh2Enw#NjQz6k-r92vmtdu?<>rI1@u1#)
z515@d`?)lnbIi#1Dl99+B`ybVo^GoRfUlRnW7!W+Pj+Pm!Bvt9VUjS@y3V(|uoumc
zt0?RjtJfR>H~rT8CI(;L)x??r|Jpj=DgfJSeq2m~v%dGeCHZ4vZ*Jtl)>-bkdtpJ3
z*B1-mn%J*<1mTi>3i+k*mnh#&yzuoRnecKr#?@w(<SXfmayG#7jK9C^g0&*}|9ylb
z*6mFGpYNS|tP{R5{7Z=g@oicO{5|lPip@(-nEf$}!!XQiH<Q8&i?VLg9)&w4yQ4{d
z@4xlW^RU;lp4T?`zugNJi*UW^ho2;WpwNkW9nQF<)J+fPJ6MiWe#P^H`@|ba{`+!6
z*KM##Z*t)lxOJb}88*10JUpEVez|t!3qQPj!&1m5ctvbqtq^R=WwSuy@+m2CN8weg
z_q`<Uk`wNw0)J0`^N|5o;JiVj4`+w&cuEWB4meMqg<~JbiEf5}?VAy^fQ>t*n5g0I
z+g*(3;lnnUZqvXkTDk`I@RsgpPHU;S-{7di0Y~`RTA>xmKmTXnJ3rW)e(}UA;!|1M
zvjgB&&EE=?i2oegDjf~y{*~fgK|JI5JX<VGcUqQZotSbeJqwOZyS%&v2k|xq<-lTE
zKU_%umG~2lMeu_mzO(c2D{YY{&){5H0rh3r+mT1%Equ!9{a_#b^<TuB7Fb)pd!`Gf
z>4}nl4Zl9U{;35v9=BqzfrqY#oo#~q9)D>mhXVvl550%!7z&Cj;3_7y+FE#)Qq=xA
z9DU3+rvm<6@k{dsJTtXv-%I%D@a2t#u;VdVMQ?b6Uc>Kt*zf&httZTwqEJ{3FTCFo
zZVO9UUUPj9TjaK~TEn!JQ=(Pye9ZcwA-v4V@uL=g)&2US0sQFZjht6-XzujBldxG}
zhW#73Q2S}=ad`6YW`1)1IS1<QABHd8y|<B^|9C>o?n7{(%*tz0U(3&%S_NPMJ--Vi
z{)Hpca4#J4b!ZnU-`Vdaio4*C>_+RQur5Q?+nw--fwHm!*u*j8F$?^|QY@($w$Qk-
zpBWA^ymR_7OmQHNZ8IDp^;bF{W^VO<KnvFxot@2qwba7{DB$8dH7$?e3n`v-Ybp4?
z>I+xsLs&WM&i6&w#O{V&8f;Q})qMf({L!~35gtAnZuA|FYEh(l0I#qG3{S(wLHDX+
zU{RU4ccZY;tDh-xuu@f+<`-BXRn;gQ=CjL?_zahcr6@$fl7%T{-LRDMulZYW4P8Uv
z2lz=~T<QPw3z|07!6zS0INe0N*JNZCj{sLo8A<Af!v9rHU#WzH^RI6v{XKjqi&7z6
zCby-D<V*JNuFHpIlMHT>>q9K@Dt{n6mzUHO0q^~1^e_lc*=oR=0JGSfleB>&e#|70
z`g)@)muCkj?#>&^g9Rmou9(8ve4}Zk{>{Ixem93VOk_-v_ScH~(RLOVEr0cawC|0I
zS`A~^eAb8Q9c-Udy#F+8XB7Rj4mMgf-fakX{$};>fwMx6((1y;ID{?wV3Q*D>m=Xr
z`t+kwILd$df+pN@a5ZECR^n_L(1u4@s+wnEBk|mt6ELfFQ{hio^!%CUBwtlcSCMKO
z-+!`+Bp!#m&z$3?fs+M`skLCW3mLz5!QmY~QzTw_vbdcW9@n02JOw{WES^0IKhk|t
zbP~ShS>2)nC%J6ANy=NoE#>6_M_hkqrvnSf9XGlP>z)ZQ)hE7HIS~r;Q;8iV=eugy
zTz41VJwq);%6IEORsCeRPA+{rIp4|>ec4o)Le^&!sgI#8O|?a^H6P2Y8tkUkm-!4H
zl%5+R#}gCKlY9#=R{6gr<=?}5j-?LH<T<^Mod46bh{+-NPDT$4IsXLr2lXQ`HFGr$
zDZk!4lfgXfEp>RBlt12&OKuVVYa@A{<a2d*`L4lj&3Pw|!u%^k=9Dv-KRi>akHN{c
zNm-lVp5mLKGO$firZpohDdb6Y0CwJDS+E^GdhTW6ZkVUpP?s0Jx0Wfy4=eX=PY{Av
zUpV|^hv$A$8H>Yw{AcVq;PlAaR9QG#hCylz{O@hL)gd_4`Bxr2tnmB7V-;9>>ZjrI
zL-eO~E=?`?lg6jk6<9R*OSC?`w)vmcAUw=<hTRh8_|?`o4EMKknc2c~b|+*?;TnhW
zG;i3~Dxl&S9J9b?;tJo~{wpX84oQjN@`AUzNNvr4>t!oDo#5=Mj<PWLQd_4diR<w2
zD&2w84cGTO!*M=0>3rc%LET?hV1*;S5#DfgrDxt{xM-98p^LD8#2GCQIJCX4)(X~R
z_1x$PUudl1IsnTDHmLc-EV~V272v(q1(6}J+1iz>Qt%@i376ZjP95DZ8Tj^g_OfXB
z{luOwarnyFxP(}EiLX>!0@nAuHk1rU2Yr+jfit!LyiSGJB+T>vgKrECZhQ>C>~@Oa
zhb6U*C-X?Y_`T~S-#4BAN(Id5`tZUYc&$D~|26E<|4v^BwoJ7fZGkf@>*e|2XMUr#
zZE(`Tc@Y6vuJ?)VD17<lECUa0;>0gG0iX8_3L*JZC7Z9#!UyE9+3$qUkNO+^gm)HZ
zo05F?4E0IMZ}`5NAzo<*Y<8=vZUbypCst1KZ&GG5(8I;HJCa#oem}M!jPSdA1#IlF
zfz4l;9Wa&my*~`FijN&TCoI2R#FZKL>DDpZ11AK=8#W|kKDD3YRf6+OxrXcDOO0#2
za&Qw}S#~+RH}y`EA{=*IW#0?<C{z4t8Mtn+e=!Hv@n>N@2%q$G_Im{5Hqa(XIBUa3
z)dV=1?pD|Vcz9!4Q!IQwAxw2Ye9K!ZHUwrq^mU^w>^s!S6%4=Zn|Un;<A;SQ{9uD4
zEU6^FvGVw>Yp^OKtC0|_e6Z`(WteV7pF<p`tq$t8gC~0N3s7)CWoMv1e7`-xmBjPa
z!#AIXcV$G23cyd?S=&_L`NI4eQ8?~GhmkVu8j+Dn>gQg{N(>YH_e#iHQXhljEu0L*
zwO4%i!S5QS$6i0ceuZa<^A!A$>zHW`Y$W~9>MSht#WFS$roFKzz#gWkK1Uw|M>d?S
zcY_Dk-8+KdqeB@XSK&nmAJahi_*ow%7g*FWVfrHcCY<`U4{UTh-}O9P-qq#l4%a2|
z<VnDE_RsF!f*lu@cT2+#8>adq;oQIFd<*w6pWm1+&4t}!eG?bqOA$hAPvOJ6w|Y6j
zs;qR8Ut#GXZ;H#X=cDH*zrfeMxO30K&NnD0NZjj4yre#Seq-)K62JRzU;h#KVt)I<
zX*jC+=><i2AFtN}iPsb>F$lr`MfgRL_~6~9IDWW&o?Cqc4vN)LVuC9~sU}JMjrU|d
zJ$xEJ^F`ufkI%U-C*lA7f#!#1;P?cJzrW$!`o#qj=lgy+a~PJ3j)@}inu#4^gYduy
zLG@9%((+nYJ<Ma8HbLSk7x$lg4}S@gNFi~_DF^;Cc<^_vDJfs?DdB<=_{~0DHgf)v
zZ>`+3;W_#Cwh8!OguuT{cs<DM&LDh|?#iPG_)1=&;3O<OsJt(Xe14K{n8bxPyZ-ir
zyO_==kHIgFo$&L4EzKwN`{5&2ZYqv&3h#avQl1Cvr<&|xC;y_xUbvCzYK$5A{O7N?
zhTz}KW?Uxlg1Yt5Zg__6#)u{ycqDR-9B<Uy(O#Xzt2e*sfGb?0Bo4vZ+I!qT!#5Rz
zUdqE>Uy}Z7gU{{Fye<l#q09J6j`vsR;U;1DR{r+%7WlW=tCpQ`hy&xfPS~od!f*#H
zv^!vX6Py^{#l0C;zh=`xj@K7BluZj;DtF&)fE`sAFaJrz{R+|rYM<a>yti=?R-oTW
zRS!q&@2s4H(-MZO$npG{B~>TjSAlAt?_mB4<*hxiQuex3BRth-8QTd@reFM418bJr
zdNsotsxKQz{{EOS%8ziq8~2S$SXA#pT_wyq`0_|CJRV)A^9p{!#kKqr4)JW3dJfx;
zp6??0CRf%fieb0Ywc#bO(KJnJE*$E-@p2h_JWD}12VP^oz+VJs<|=PZgRcdrQ$K^V
zcKgIWge?r$Ugg4eWkFu?u=?%;Nl##(?=_UM@I!%Uy)5|7p7y$%u+6|SLmnJ!Z}B+*
zeqsE`KMBrxYFFtEj|#S#CBuE(FI2tYv}ytNSlE8?jj#)RWK3%z9!}+9dFBXv6{O}z
zz=a{)an|rnq1xNg@Z@E8o{O;3Ue;r`;j5RfQ<=kW7bN(?V6Iv@HY4)+)RrhR-mLsm
zUDkywvL~JV;d8b*0jJ=yv(iGIaHDY9g_H2Lk`o)f;oWB3v&UiT_~<G!e(@KGw;qP&
zHPRlC@yg+0qVXa4jQR8#2blJHuA&UQ*>*wF367k*qq84QI2M>;4o7WDl@f;egKq{{
z!cC#<l>%_8W~00j>>?$a$^++(HEcJ9-`DPWwi9L%(z&Gp_hlZ8V}aKe)h=nn+xm_^
zW`Or7HFS~rEMeaCE-k!pyy`ib|L(Oor%=JY_vHD>d=tYH5%@O&^GB;7wG_;FLxpDn
zj!^Fr-3gy6wxRkC=RbVCX%|e}av)_KmbiCGlFZkkeO7^k@XK{oCR&(+A}6*NR?I58
zzKHprR;AOc4Q@Vh$NUfM9Mi$p2>(##3mJxAm(c#Hg(?0mTp;U-9m{2bZ(vKmy}SD0
zBYEF0zJ#|&%&!c<vbpI$Uchq7e9t;z`Pr_vA~^i<Ok@v<U(=q*gJa$*Q`W;Bi@_f<
z;VtKBhZ=~3PMl7M|2FK8uYrxD{AKUMyQ=5h-@(&;$Ey?IR-+wam9W`Wzl<n2HLHDd
zHSBd=O)LWDarsm80`4maWV!_>uoR`fgs;2mB?ZG%OdW<#;a-WmzJ4(M=9{u5@P?-r
zv_9}Y`JCB&*qG}6v^%^pRR3ckyzz*;yDPl%^-54SJU=t3Z~>NiQhVeHJbI`8ttEVy
z_sdcy96UvtV+{X{3FsvGKU5|q4B@@<$zdsQs^tGTy6<?b-UbZdBqJjg$)-q=O(i3e
zy;rhjMr0);QFe;#QG`-Nh>Xl4GbNcxMnYNTXO>ak>%4z{KiBn~C+E4J`#y^f?$?K9
z$WFODf+IC)vUFhGAp@TKuttY+h$_svIYUAmPd>?#q*aFZ?c7nF1cy9#Uyy^-0+Lcv
zVZ$?a{xYy{Wr0pCoPBvvUI=D;`(_t$d|F`J`&IzH$~4dz4IjQiSHuG+m6~S}{d7^f
zlLz4u(aYzF<6oswRaREG>d-Gq;`o<WOY89gc(wQMd@w9m-f(FbtodarkLVkPzh9w%
z_h)Te6UWmPlXA6xQgJ^~VUjf*-pQh`yavZJ{pz_6i|R%lU4Z}lV_HJ=zsf&+F%KJ%
z+B*5d3e|i3N8yqgL7qVP2%RX|FkH1${EIit6_oL|6CR3~PbSVU<c>EPzJue+e`yov
z7jq8;S?gi1k7-oI`GZ20+2a~`bWd7?JKW6Nc&QK$YZVK)3LB-Yt>nYcS%f8s^N03d
zrnTwtUgwuTiR~qJr6}KncXX9JxdbzF|E9SE^HlL)AkIfP?PXGK!IPrg%uetz1{eQe
zSpB5&D$x&NC?~rC3x3lmvV~P{?CbD=v-TBSB>JDe*&4aQ79Z2OF2Jc-@h30Bt{cr;
zMBn@M_eOj8+-!Nd8Qez4^u!VtcljJ|3D3>Ai<rYIF>UJS;LmTf_8Gzd+5g}(ffa54
zW$44w)xD#-aA&XZO%1sG$FEug*!O4xwHkcP?ei54`0=r(p9=7`<pn+B{O_*pF~8G9
zUN}gl4BK~Gn4g5TZp}`q!jYM8rzBy?E8P#|VVaiBb|IplJ9<qKcF?(OcnmgdY7&=*
z(<!n~@WKbR-_y&%f?7<C2jN>8&)XznmK62Jtgt{}+2fP&=hS9lX86;;BnuHZ?8=|L
zdtu`fNvFhNPcgrY-LUHHl|_DdG_&vqCH%<G?Smk^#w<on4v$)CMexGHJMMj4OTqQS
zEJ+0c_~IC^`3hW`M*rs^?8;ERa|}Ma_rqNx@7U0Z9fni?Jytmcr|jCn-T)s@Jy0VA
zb4S?3zk$Q}ly?y4*QAG}+T!2?nw>Pn{-i$?DVqq-lkYGh_V>d1x9vV~;MjO8@%i2O
zNPpTNwsK;ncZ3gyFdy`Sn;&<~5#uA-$tuMgKA%Y@=?SZywzqJE1z(!~B+hRy&gFJH
z!FLo=juYRfEA)@cZQynG)B8eT7lH5m_Avbcf3w?gqSdoB1=wgNE<X+a66wQp8m=+a
zvx$SvU!9u~f%SKJv8KS%nn%5bVE#zqo*4Md^_|jOF!O-?okY08b+nlscDT5%cn7vk
zdwF{|T&%mXNo>z!K5aiO9Jo?ab_;$=asJg>GT!eZqk262*g;W!1tueHBZ-19SFbLP
z!rd~IDMW6^Gk1L$e)6_Lo5;V!Uu*M(DHW(rl*7g*ma^V3f9Rzk;`}-9<ADM_c-NxH
zyAJrY;{vB4T*95o&<h`(s>weAAL?HZ9fgG!qc~5&=X&hl6X(lylOq!XaK2z@*gULK
znQtNl2Uah<Ux8=##E~$=SN2fY{DtL7jIXl7{hC+v$+6xBh2NH@g^O#vZD`<=(%R2=
z!{y;q`3x{QhqpHgOtR~<4GX*{RbplboM)$5a1gfrq*c6<gz>#8ZhHhSXWGT{8-6sE
zTOa}}+oyJn!@HSXP7~+16ph;Qlkil@cm#1g5xMu&+cx;vsQnsoJkm1pU9JQ6P#QaJ
z1fNmQZ7YH!RD_GI;kGzU*%DajTH)G7xK1;0;yzqHOMcq}Rw`jPc>sTXAJO9nb5~1j
zN5UPoO%B2E9qG<1w_#5$)#50aF3MNxI&9KW;XoV@%68Ee1;OdF(#6E_B3VFzrw1&1
z{ec5<d^r&=_uUI-7UV4^j!)|tBidbH5~c2_r?5sevz!~8VQ<ny9RIpnS#Vv12lkK^
z6UV=g6@Mi<!{U!_uhqg-CPF^8aKkt8o>%bqr>|!1;gQK2);2hbbp5?0{HprG+FO|V
zb<~*)@B_h_)5Q72wApJOQ}}&yG%IobG1fFrYXvVBKX^6;4{Xpc7{eOx<RhnHKgZ*P
z=5Uj<9`ibUUCN@y2v$9{xV#DPoD{Kkf=~M#lsf$r_b;vG&)C2UFWMN+!0$Nuvxr>c
zr~Xe<_+t9OdUx30=;_|`@VVW5Y`*XZ2L3sBxW<k56tO>Z6aDBf!}~k8Xl}tt@h)O_
zVgG6}fmoQ5rtI7uIIgHMGalCXBbb>8pA~vrmj-jTyT6HpLq_k2rNesDKdA4)L5qpH
zkKkLo`9xCSS!?s=$M8d&4Bt%n7=`_}XRz#Oe|kFHCMJ5m7(Q*UF_{BvP4J$|gR?01
zHRQrZb1|tz{^hINz1Q&JSU-Ovk2rVY>Kl0C7;SPr{8B-jl<pV){^w)+?ssrf<{foP
z*mGP{<pca%>vudote@*^-w%I?=BT8F2ea)ye}c)~BL6YMy)rfXzr!)~Z7M{6Uq;dG
zX*g=9aO?q?*K6?U0(`<zwT$R@$A08kf=TWcZnDFq>zgv`@K5DNE>`$T^Y6p|;90H6
z5&@XpnNNuv-`Ab8DSbzX*E0!JQ^HcX9V`m_>6m^ZzVCM~ke(5O<)vL48DPzUSKV@i
zi!#TE`J&OFX;m6lnkzEmfVF10PM?Lf7r%P(!hdSHY!%>U9-f|Kum+v5j45nKXYrpn
z{OdQLwJ|(uL@F&0d#Mey-+*fl*0M>#SJuBh4uPK-iUbh(%eAk8=`hc}F$*GhzV_2J
z6aMr_OjQoP@FaP*7*^Q)e3Y0UpA2WWmcroymbZvp`$BqF2W;E2=}hG6mvRF-VW-<B
zMl!Ipk{0bKOy#z4ToP^|HJ<(of0qqOCh{#B?Z$PubuYayk;`TnKiGoRXnbsl`B(Gs
zh7jEXo;UH|R3v^rX6GH$dth!q2ceVjgzuC4+_2=$iQS^`DfdDj9@rsNZ=Kj)JDDz}
zB)rMnHbl(Vg~dh_CtwPplP$#dDBrGKQHAN9a&w9O>3L*RR|DSgW{D@Zm(iB-)eLq}
z5BB1RV?SrrS;A4OwLge{X48K=9pN!c&bP$pGwHne)d^l`KY#iNyt74--xC%-Sjoi=
zr*A8ed&7L|zmg8Y@82b8Ux$?w)qL3Cvio=WZ@`BJZ_W{)|LUi&o{=zndH;JR_^8Z~
z_HB5?fliSH4ww;4Nq{%+JljbF$7mnWNrM+izxva`e9<l`*)W|Jzc~f`H`>B02mUN<
z`H>1Plr61!22&^SdM^{>-`q>59F~tWm|2C5Yu={R!Tt9n-9E$DTGc4p;gr*R*9YL-
z+4=g{@ESuvZ9AOuU((eUxQ5GGr4=?idP1lkK6YwthFDKL&m=VvIkg0}bs5ZkagFK&
z{7KCE;1gJM`&vUU9Jb(|Ld*wD6{A$c@XsenzS(eNSH|QhEb;O2JTV`=ULz6u0UNeA
zcM|he#FILzSy<G%PcakDkUOZq1e4xd;7NspZw?8r!sjdKcW1yolR5R||6zYc@+>65
z>qF-Es9;ArNqeGyBClb55B%uhS>-tRikMG51N?-+uqFZSaQi~e4hK0~rr&|NV(yM}
z!c4M3;Y6QQ*3?S`P7(-qjDqjd(ddZ7hiMYN5Ph~A9x2kWgiKsr82oaQ%S#ScyOk{#
z3EQ=W*C@kd>-YBEgm*WJr>MbqLu$8(eooClK2x|Lx@aU24!T&d!vZ#8>1hjr4Srlr
zbcLsD>z)R{7gV|3-QgSlT^z)E;c_tIr7s+8S@F*Y4&5)Dcn#)j`!Y@RNB^$#+=0W-
z*1YwG4?W4=j)D10C(8WcP6pSwO!!kvO%kzQ%ew7#eF#r3ckQ|gSIPU9=fkt=k7h5!
zLc*+Zh49s+&OV~=PyU^|9)1y$R^b9O<>7fZSTL(tfLPyW3x6uL!xbOAX)eN{-=ewS
z!5Qao-z3)eFw<qHUf8W&(}q~z8F=E92H?8-3j@UZu1NDcdKB(*=Xgo1@9&)AoyOs?
zZZSb(eLwc*Pst42+dM-{tnW|D;-cr_*@VBr=J4^LKYc5(XIqIav3}>0-7WbI{~&Gt
zM6CCA@@s##;fKCnRl0DCNmSpCMf^Po&Tt_ExSV{6od!1T7v8N2?<@=XLkEXWD}-vp
z0^M^8OmO1YDLWO|X5Te-7I@Ev--Bv!-NOm{gYemVsnuuTFFx)Hyf8!fQ(-08+4u7;
zL73BiWZ^h0`D$8T9R9g)&Rz=U(KWgy4Zp6sp)3ZsHhi*^gZq1<Yb4-bZ_XAf!!<SR
z>4LCVdvl~3%%I4>M+E*TBlb}bzHnWxn;Vv!5QsE}AGE5d@W4BMq;*-r|5)DfvBN)Z
z?R{ngdw=Xr=Y*&J-dJ{qb0$7o?18C9oeJFH?-m2y`(T%e!6jd~m|gb;4V-gO{lhhw
zbBEE9-SFA8YNk+_{MV`J?L^!kDT(jA1q-IgSnfdn`z0AuJlrzKz`26_=6Kip6gc_p
zzQi?n*6-~8ESNOi@5%z)Wd7v8hwz-I&-5bfZqIV60R9twGJgV=ZS7ll4*T+nbAE?)
ztu>^oV8*nm(NAz&_xi7Tn0aN`a0pi1^f=iHuYMDi?1jTan)khhNuM3b?}z0%WX-$b
zk1I{iZSd>1p}n7A%^NRA-@+41hGt{1vhM90<*;y#!2Az5WXX4>5*|y+mHZF>UB6QP
z6gF1pn_Gp0dB*sk!S3Zb68~TWWu4g!SjPXrEZGw7-(5a#odwr=r-;+SvQsHs@$h@~
zf75$miLPr&iEw#;kQgic;K2u@aQJu4&<`%ST>bgmNLcxkh3HY(+-)@qcK{j+-WPrs
zf+L1|{sq8R{-Po$V5{>quP?)WLEcj`a7^Tsga^D_yDp>z$C~U}v4L&7#U|C^3XLC5
z_V9dWm7oFK?YWcR7}ji_{B|B5KRo!r1eQ5;`Pc<`PtFfZ4cPa5%(w%*&Ro@_1;1B5
zAm9f3RlM{%3D290*80GzXG4CRf}7Xt$Zo)F+5v6iu#wg4(O~$lin8o+IPkL8k=t-Z
z%dss!c%oZvBo_X3bIF4r_VWC6I1N6$Hl}w7R`Kj6Nr%6&=eF>|{2>?AbKqw^cb{;;
zuKP`RbKxy}BUWxWGxdjSF?`xwYJ(Zpc{QwB3UizObz_4+mAb}N!#%OXI*jn5i?vG~
ze0Dv%i3xuHaiOdkw)Y6gp@+3Nzus+wZI$Jj_rW169-q44nJvaY)UZ>()r%h3O>WSY
z4qj&eZ(|5HIi9aY0n5aH=^ugZ#$6hzU~Y}eoZn$<*&V?f37D@tW%}mef&9kREtvX1
z7yAnQjW)7>6*lF2@p}#Kn^M;J1Me7DR@jEcqbLLx;rviOwjIkjJ~$H2um=AV(ka{r
zAGA5W{0rU}DipaNPU8D_k?7ZXHFj~pw%IRKXW@h9nFZXia<^yQJj`DwzI+sJ5$OsT
zg@=wzJ{5)^^Q${dz-*TE((*8;{esdkd}Vu*Q4v=BR9H>)@0VY*)PU#pb?$wF<z}^|
zwBakFG`ol3_C1p~&%q&aik<J^E~bzZ=CFY1)|n4*cPGmYJNVZAgoADH@ytn6M>vXG
zGvzIu+Iszw8%(J(eDw`{N<cZ#6Sk^Lnr()6HjlLU!~c0c%ddog9(D}40c+)7;H-uv
z^hlZ`VY5@;|CYj6bs92n!#jrWdzHgHvt~aM;75-4#d2Y(;GT>$_(X?h?o-&l$ZaYc
zF3Fd3xDRt04&Bd%k9?T>oB=n{`%M(X2bQg>li{)F{I5#k)(~3ZH2A-fHi{a!^2as0
zc=*I#-|;&5{<k9`iSUb({Q@oU2c~s}a5%5jWvm0f+ViL)63!l{Iob=CKO|4S39CJS
zv10&^XfNIs3RmbEYL3FCpJ-<S;K0(~hsWUp=L*Xp*r++pZ3aHM<iPF$OLBkaS%CYL
zXyU!#n5F>N->~p2OAi+~>(v3(4R|hK$JAxmskbI}#|n;@kLxu%!f`f6m&oBY%M~eS
zxZ}s~7j!V?c{yfVn08le%pQ1g_G`2~Tty-=zzp~C9Co#YcUQEPu)*Dj+P_-Ef}F1F
zJaF<qr7V4TjXS28AEtRV$zTMhvr7CHgV}!>_9(;Gj;R%%gh|}~Q&EE-RV=K?!yD3v
z_|CvAG(KI5@W|m;_s_yr6r9YO@KG9hDPfqDJuA-;uB7QN6orqsssCpV`$@669D*lE
zWuDl;%IigAyl|%6kDt!)Ev0v_IN<3#^LAJGjEAKJH_UpDYVTF}rbqPRUO2F6y5$;d
zYr*Eo2+NSB?hb{Ym&o!`z=nY?O}F4;i}o}sI9Zd8HXd%M`gVLd9`|F~6w~j)q}QAZ
zR^boIs}m354=r|lxboZ}#bBUa1e+~>z5fM%Xib$;0dGdUKG_N%I55xq3Jz;KQP>Vs
zGd#K63jZy5HuV7h=f!a66P&WmXqFB81oZTd!AatzUT(0d$z;be{BFVYy9cZgUBIvf
zXZqEJn8Vb2em&f|isv0P=zm+nHp`W>w6M;e^NDKk?WqyJ{qT{s97;`C*Dt@30}fvQ
zm~$L{I9R632VY-4z$^v#u!f`w!zNJy{rvEDxWASp9Ip6UT@WrbQBRhIxdr!Aa>Di>
zCDj#Sx5wuKxZ!XKiUbY#)%XLceQ@Q=DP=vFi{(opBW(Dr>aGdQTCo2T1w1bkt!M=Y
zW$TVo!8;l*+;JrG@ayRtakxKdaa7(F_K_~5{|g6s{)_a6HO9~WT7|V~M{RuJ&m`Au
z|G;($<pnq3(3i1XvvBSO7pri1CHYO_JS^#ZHZKO|%<j+|g&*txGE0Q5<u;nX!UccY
za?;^hAHST>@DcHQftj#YP~L%IxK`szYc8y0me$t^pD?DoRtVd2H>-VwRkx?#l*4b|
zoH+6pmg_FfcnSYovPpjj56{I+y@n(Dy8N4AH9e!(Z{YWC8$VlNpJ7p|cd%Ei-TT+D
zQSZulC)}DCqwof1=<XI6fJ2rSIcs4Hv&5aB;n!0tlnwCHJK8BTFze@>sVZ2zmCj=x
z-fsP1O7uUk&sMF#w(ERS<?u}F(}dq}^{YVcYPiSFj+bf;$FE@@{*}T~-?;u!!+R_?
zyoi39=3f;Cc=dvcei3YC@sgVf?sNE1MC6)NI-A1qJ%c^bL~hVZ)h`D32n|}igf{~5
zWI6oSm`<hyme!HzIY;Efb2K%uLt)0M58Qc%arOoL)y1UCAEv#stF{i#_o!XE505b%
zzE=S|arwP}0Q1;184&xkZqJS2E?D;ad(nFM_55k`9++~kwDk<Uue9I);%}UPxbBtv
z2LC6VYj_Ff)Udoy<Tr|U2#3OFqXqnk{L@wsWdv;emDc75ynoRCUJ5)^-gBB5F9V+>
zuH1uLsH%=k!5cCyI}6}scOP<Me6jsZ7%hZD?#}oVef1jiBNgyXiJbGq_^SHLM_L6d
zo8ML-`i38>658Q_1X<2cFmF?c>pNIKy(EF?C$wr-^umw!Sb6loMcNFp1F%<U_hcVD
z{$}{oC_HlF+8bhgo*jNzIu7SB{5(O7&$CS~8#C}h@_0sKe9pNE_szpYnq*PL_$+Jt
z!@de%40z;7?9T_})oZ`uy@HHii18`@F;t%951wDWS6oGmPs{8xEM%~3IhPPIK5K_*
zZE4_s>k4XOyz$7l%j|~FO&-2Md>+O>6T_I`pPiK!mGIiQmK6)EU&q%?jMrsSmb`=T
z#KenYV*GX8>bl7bACo=ALyWHs){M7;aM{Cr5@LKkm(a@*fd}oFuRe!0Pjbwkgu9a1
zL?6OSB!O9S@C(Ms$2qW1vgWih%<*+cNCr%$^1D$D?tgoEEfcoZYNghPd3q;%Q(?|n
z_en#zh)-ATKCDhDFJuAl$r2-rhJ|^fzS_XjC278Q;j=<!{FmUc+CF-Jcz{v7(hH^>
zJsuVSPj!-SUxVqm&a*qhY@CgELgDuYFXEhFzR1+RJMgw+jLA`0xQF4|6Zpr&p7#Q<
z*OTQpMX(X+J;sb!To0hzs{0P#l#j~32RnWs_a239Cdikr!l%t1m(Ih-Qpkg@zy`f}
zPLuGowfuf7*m8YvnaJgY)gPL}sZN6hM4lk+C#3=#%6vcm6As{wZaxb)XOGVl`MO(f
z&~aE|a3FIQ?r&?PmVkQ<y3T!rmHa>aI0g>~Gzm|^my>>7;fJFHYNm$aT6#)hHdrGy
zIhE*tx+h%23=5e@=?uYt<@JTP?&AGe_r4%re<dNjW*wHS+{Pn2Sg-11z2{)kU4^U@
zaOz&;>7TItv)6WWF!u`;i*DFKXsLA#Zg<-Gu@_!@uxrmYT>NLq@fAECr+uGt9qZ4l
zgrNp_q2%HOJ<Ml%G3f=&^I<4yKm2Kkjj96v6tp(N0Urn<UkHH72jp@jVdsmE0sip3
zFpHTWY+U5bCJu-AUhGnXYn*@NiNM1PCn6N!2~pwGtnhY6IK4Vty{oe00IVpj-%8}U
z2bM1EfHNDe>k|1UZP?H47|h>%N)%^cGTVyKS=ib{E0)N|uITTXhO;Z^Rfv3~YS_9N
z=CuvDp$lJEmgsGTwKMD6&%-&VZ%0?bHCLtlEn)eHk?k7zg5vcz4)9hNUv(j@dT`Fm
z1-{keBlsM44-&1r0{6JSn97E0?Gs)7;nM=!CONQ;!B9motSpdvJOf^grMw#kH|S10
z&4fJ`bUsDHsxdy{sWAU5|L3vry?T0AqQ6~6rI-zy-$_?XhQr0hS#x0B%9A4Z;VUm1
z3d>+Q#yXlrxc%#NSS37o%6y5~UdOD@fj0Qtk--mf@ND~og|{%T+O-N|d%G-;g$%*c
ztqbvY;k8*kvk^G!?(7_qA4%ppu?CwgoNFiY=tZ^N>#%D}WpWz4`Ncwlbp!u?^Zj1&
zaNOZg8V<Of?i?SnKl}n2nsng0z=u2T!TF1_>H6?HbCOJAe_Bo*pGt&-G>%_;0=G8W
z*Qdb2l(cHZ{=E}=?%PZFo`59pQ&?R)yru>gzI|}16n3k3ANvAdAD8`5K=i${Uyj1t
zZ|aV|fS=vfO8gBkZFcT_2HP?Qx@^GosV3G${??aIm0=T~XQ{Oek#oE^=3;^`P^=~s
z`Jmt54PjVi$C4+Jccu&Viox}o<fbLCUTV67BAh+2A(;;|T<VZhhR;}K#S;1A^UEw&
zuvN!x7a~8epRsrWK6RCOjM$!ZXpgirJkPOR^BB&l__xm$mNR90MD)w`T%KHqo8mSC
zAHhGxQvz?mCk{p}5`Er`_pOoe*<`!U2e2vqYUXYDO?q%S(LcaqE0zvNW*Wt%!_2Z#
zyE5Sz#z`__{N)b6HpqqF8@?Dzfgi?A3gp9eVrLAA&r30f&ASwKFQOJnfW@Zew8~-S
z<+Mjh@K@KX$#w9hXO=-RaFb&4<<~He>D*#09C50%vJHN&{jBpAY?(cKw*ywUlR9$;
z7Td)$*aOQXEwhKgze!G)^ur~4Z^lKyV_$sMM_{rWCtPp9arUv@UtvA_H)Fx@-O_f}
z8Tc=qckMM;@ZIRr9L#OLEgT3d+-8<tfqBmqQv1M-l7fuCVV1QML4NRpgQMj(e3^O7
z)Du4c(D(R`E&P7@ap%q}aGKJKAZqwyB5l4a{C!WOF&%t?IfdOFR^;2t+7GLhN&dMA
zdxTQ?F~bkC>Rm1oeQKpfZn)Lwys90%^hf(14?Ny6R^tGNFGYPj2CIyEr&z(4J>zSH
z;Y0VgcG<wJBb{U?;ny?KQ>O5z`JOMQU{g9qQwun^gZ{80%zrOS@*I5HW#3;V_<l<<
zn;C3n6&-sHju;dFZ2)H!$6Pdl&8BNE5&gxcj*<(o^J!@n9eBr+x3}!z<>JO_J=kB6
zvd0BJct$o^9X87(D{zC&S(>P{;N{da%RX?<52;Bd_|bitcm8nnk=N%{VQY$Oj3Mxh
zn5cvT{P~{ed>A~EBFCx>&p-VYlnfsd$y=3!N#`ex(_kSZVP~Rm8q1TN4f`BTR5}G8
zw>#jM10Swnsgi-q{frx*!B<-R6D4885!HLe@SEywij(kP`^ayV@Gc7TZz8aTnNLkM
zyl(ULoH#6GR7v&*mYO{wb_~`Udi13kZY-*OECj2nOz?KX|9R5g<b#h`c5ZdS`yRwE
zAB8n!cB>4+A`eDC9E87pTjlryPl?zn^1_l5CofLGKU@kpIN&fBcKPqHmd}fwhv3g=
zv%1&dY5C<bR=DC=X#P5!{L<Hu=vU$DAL(D*KdmnlW`b1&b31mzXEIJcVul0xrWxqq
zTO)3Pd*K?9wmEuu>ZY$f(f?tt8N>}g*3FZrhw~Wujd|eqpD*|r;s4$hPD{W))xVI^
z!N(<|8cx8&-)5$X?dAH=8mhu3@2Q)q;Y)Xa2x!2J7ucT>+at5MRBr}<8aN(71*`KY
zC0oKr7+$Xv{p}~=qYiLlOK%?;JoDG0(g|kZ`B6*skH~yg^M^}qS5ipfyNZ?E*Wt0y
zAnKhk>)+qbVKCEn#MD+a?ms2JI}-_O@@2dy`izRYeW`G|@PoV!<VjHn3-80(l1JJ8
z!kYnhtB>FSKi;)fn8iq<^9lTGs@VAt+)#CusTkIG$W>Z|uO2-6s{|I47Oh%_ZU2Oy
ztcICZ4<*jSMT>g$b+Cn4A;kjRFP&u43?HM4sQU_QHXNktfR+E!h)%#M_Z{_nV1AZm
z>S4H+kDtFE&bsOsGzu$Uaq}91jd#mPeuOPJ=MGN5w|MIFdSI$8F_$@5gwo5h8NT!E
z5$hsM*Z<$gR@jhr&Tbvn_HB9g8on%(C9?(l7M|sL0|&8Bhwc1_=LPh~`^sSRMO8^^
zI85F`trCv5O9<QtXN%1L&4ZuHeivkhr~B<Z3*ZfTaUX72o9;1bGHhDO{P!rVTfhHm
zDxBqfQAG^4Xwpu0g(IoI7%IZi9;H<7uw;kG0}VLUf$Y@<_!5__mL5#@&Q8n@7WYU<
zHi7>WC_W|zmtX4lcZDlsE>sD_W{SR|_ORlI-w8)xD)BMOi}1(QVy?rm>**V>tYDeM
z;XWp~MN;uH(f1clw_$_@&X4g}z}I_Pm?&V<f%qO9*lqky4jFuTw_ubhT++xLv~>sj
z=X1~nqHmo%N4)_js2n(81b6NZo?3zx>>Yj?!zc6fy#9k#DYhQ#!2Q+VwPxTdALZ-%
z@NcHt&)?xB?ICe>;`MLz%g5l3JzUgU@S{nAGb8Xd_7@Fj;WGX=Yy+^b_)@A0>`i;~
zcsI;U$w+<zeszy^PY2AWuQMz~yxwd(qYdU}9Z3*{C4=w#Ho#kz`z}eq9}FxxtKk#R
zUdFJ(_wa{PO5q60@Ae$<5znc8Met|)^=?}D)TgMQPhfq`L;3VDUvv=VL->)MDAP8^
zQ@AwWw|lT=kl{~K<VN;<?y0bV^I#4!{ul~BsK>!Y18dia@u!nHWOoPt;k@;O7{3m}
z5vRl8JevKlf5Fv#Std8&_2>HqM`6Jt9SJ{pBm5}YIGm_!({L4@tIVw)gnb+Lq`Sc%
z#>(Tq!1_mz9(9Fll*Lqg;R1=l9S(3<qcrCLyk@l$YYTf@RP=Si9b``~nZrECYMy<B
z!<Soro51_<JY73HAm-bn4;QmboO%auO=Vc?!g&V^7T&-;^*YjOuwcrQ))v_Egnyed
zeC#7@U_C6aar?X|ynbzkv=u%w^=eWGo+)&wBJ!89o7F3~@jM5KnR_3cbiGvYH+-RK
zv1%9|QqJ}4g)@AIXJ_H)VZF(ISclJFavA=S<#MkL=1o{0{{!d#+(+91$8^UZBR&tu
zzg&&A@RmHuXA1b>j%JBhFx#GN{13Ib9$2Ha`z1U@Z@9h}etCHMW;J}$U|EqEA2TfW
z<}cuh@f;RneEgWD_)reJrzqJShGSWSo)*D>Dwa+W-+zY8<`|+ccwVxT7>^64l1|TH
zhQs4IGVoQ}!6BmGv^V4@F}|zF&Q|2YVeW#>#Q0X%xO1QA(*?VoKM&`2{_=hd^Tiwx
zHiH>xq|Nf-Gy&7bOK>1-isU1hW{M>3GTfmv$&v@V?p8b&1dGl}tz^N+eWyu-VaBUp
z9f|(-ktoe5_>HFMnRNI*x6q+znC$FLzHHd5#;qa)PI}T#au2q)*&Ce&|F_rk3emr;
z@uEKuu6|ywodh2WHYhBBSwbutQecna<<%GPQ_ex}TX6Bvv79P6JMa3B+i*wghxrEh
zxgDp^Re0Ouj>lV=aweGU3Ve=#imwqadp`Zr9-d8H?`?&R@(q=3VRAdY+ppmL84+CO
z@DrZC3q=2x*;=6qyz?mkfofQ&@wUuaxU3@mK9Sqy?0l;LyS$j!BXTnx^6&d$9ZHw;
z9q<m_025}|ypj815B!yEsbMn;>s5B-#t0m2ZY}W-mOXk#={qd+>DG@0I4fZMzd88R
z<dW$UyqTCGy#mV??%q8KH%yEESck{muipF)cg6n{-LZ}JDlE`!4Au#gpd^RYiYDHV
z!#P?1>CwUAC#G-q!tWTp|L%jI?$=!IhX)$ORoUR6*)w@<u*AuNWp4QDjfX59@XD1-
za{RCwYwGeFSm^gd20^%$am}FxKACH4DG7@{>t}fhm&m@|B@Mfoi$zz%9@p;}D#9e^
z*&JWM&thx%mEkH^pTTmt>P+AjZCEkK{6!IbX)<435BB7&<Sl_4sV*m)z&~SC{yl}K
zrBj{F;RKKWJf6XKyUoh%;0^Zo8js<_i6K#r@TFHbMe^Zae|B;B!jr2;yB@(dPNK{H
zaAD>10HPmpaz!=--pPOC+ymJ01T#Z8ET#LoEejs?9kz&pFKy*KOoRC-{)xvC{ab$-
z(&2^bH`mi(YLBL$iSWZu;|A&Qxr@F%M8DD3<@+=E%+T?|c=+tusJdc!UOA343C<GH
zp?C>rF022EhJ$ZA4_Cuan{zJ3!lE<6d~aZmA`_)suy?QORx=ztQCfK$4tPwb(g~MP
z*v5szoSeMuA7R%=H9I2U8#c2JgRlXK<8Tlhc<G<a7ub&Ul}<1$$=wn@0dL;3KY9(0
zsTwf<4qKAc-M<cJetq!d7yPK#()%i`O;r@I2<v5)fA@u}9(lK{!?H#C4IXfvX>j@$
zd}1_D{0bcDs6MrmL{p)ePl47I9x61frG&}rlY`t~QbBg|J+QC>zsW`TAt~>deQ=pf
zP=_-tusqMp247vLeQXP}nk;Q_z%phwOb+m7ZLJa?9BVMQU<scrdBw^P$1}^@UVyJh
z+_D!VUa#3KV+xZ{M@dV<&wUOQo5MK<hGDWW`($dQ5$x)qZzc~%d(W;L!&kZ4AFILv
z?2f&<@Xa>|u4%v=9JEzLU)!^Y&K$PZy&10!Q#R&JSi)?|{5}S7<d&?j8~l(oMOPDE
zTtBYu3H!~Tk<^1l-gJBoh9xBO=+t4A%Wo>f;KK~YOT_k+-WY2n!{n1??^IxNHf`=S
zn5o*KgxFr^*4MJ9FdbuEloEV`Y#{0x?BTY5i|B{#$?h$KE6FbQ%fp9r6Y?uzp)}SS
zqMx$PC)Wmhy|ho1gGXhV89Lyw#aHACFiGe)iyoL-bLW^8?0>FXydRdHwbYk^ckj-)
zJ_2tBW(r8c<?go(zQWt-2K1-kW){xx|G^p6cc#T)D*jz{%dorDcQc|N%-To31xv@V
zN(#Y?Rdrwf!Cc<nxgziw`>n&2q?!u*C?4N93SZH1+uQ|H>Hb|5fCssymG{A1Y)9Ym
zz_BA7Z2RHN=r7NSzG_oN@nP8U+rL`};d?@9VMpOPYST@kzaVS>K@@Ji@7u=?Tb)pP
zECCxG?N;G}g{$`bl7Z!yX1SQ*dWBz2r{S*2vk9y)`SDshRpRy2CN2zcu~y22I(%NC
zbYwq#rOZyq05%G0tlSNYo5_-$gU6*=`1iuz64ct3@aPNP9n`Rv^VdTcV8^}yZ(5k9
zqS)05wvGtVCWlx2Llj-$VcO5HDPd75{pc%j$Dg4z5?CPmkgX3aHz`U(2G7(jJ_~}`
zsf8yuZ{d1ERzq+wY~3)_PV}!yTklVRlifc)Tt`m+PH-*>c91^8xCQq~Zb?3X19_N#
zuD}<K+NiVPlZI~Azu_v;RHLV`ppTi<fAG06Yk_C*S~(@hD!i+EyS^6Yw3%Q12_F_}
zOMC?jc${@2`gaslM_OSXW1cfJaGsDw*;_agzt;Z?PKe)98G<w36#V-R3kWo@kHAYM
zJ3NVgg<qWG6x?Dup#BY3%hs2jhSv&(>Ly_mn?n)*!4a`rNh9#gfpPO?I9An=@+%yv
z`QphY+-Jw}br7bDcMJFjm)^W$@CBASsn9~PLsQ}DfYh-*xRPe${w~<q<nDt3*q!(N
z<X-sC4;`N__*-OX4I}LJA!oW9KFVOclLNl0$#TC5c5<qFehB_Kb&0kWt_+J?7l2iJ
zxu#yhfj;tGLhy|qkMoVN6*(iz33!mYi>eG3^L1{Pfj8>e11ezVRQcUX@Df$4VKK~o
z;QNFM{EnNUwFFMjuM^URV@uPHCczbvC&SEO7q*f6De%$hy&r604ym9$y6}U4#)ogf
z-#YU{^x^vxGVYOZgDXF+EF2$scOe#@-l-dO8veuPb1Dr^T{|rz3X^H8O+J9x6>T1h
z!!BN8!nyDh=U)F~aHoC>Sw0-gvN|V3c;<$7DI9XmwwVw9cK+L;a`-`2?o*<#&{$E~
z4EH~z4d#VChnb?=U~*BBWuo6*L^99?ry9h)<AR@`w|>?G&pzNy;wSP8JA0R5z3+am
zhv1AAyQgdL`@rl`Vtd_rT1)@n<nKBZf^gdE9Qzi$c4o*z0%j=6++ZZrRCx9DZkROO
zMt}0~K6vU+(;Bfq#s*m3Sz(n;KTajs^iJ`;1F-bIvN#o3^j6#i7c5fZRHY5O-{soP
z0WZbm3FyIF4cq4r!#-`62It{z=G!5MV0FG9CoJGnITa=eII=L?%8ux_cPNO$pFAQe
zF2NJ&7M$wv){63oC%hmtq^1Ht`%`r)7LF_V^eP`NIQ)6<Ex0r2Vp1W@R?qHC<c1ty
zJX>J92JtgQZu9bzYCAlAAiL}~%vB~6{}HA%D!mg5Pkd>2?1k6IqdkcJ7Ol(11RVDy
zMJ*U6pIGbq4sU$fSxfY7ncG<wVAH`}iPvF{K>dY9Sm}x{`3?BgVV+YPa6#ME3J;j~
zy3ph{T(tk|kt=Xq1&J`#PECd4%b&Mh;JUnEG8*_W_gODDc*gLYHUm6Ta#G_Wk@xi;
zVuD-Svg@4T+~qu1PWY8lkgGXd8j^8<7tYx|Icf>dihJ1z!m`y&t;Be<ZL>M40AGLQ
zA|(uGJUkt&2B%#(%(WGX<MqHuV+%Mp+d2LpY!vL0Z4bXYwW9DJe4~9u;}UEqc)V;0
z9<>}w@`9U8FH4WW-{;~O17IQTr-frMwV1zEDADh;3LAvIca=y)z*EQWtqsAJjcI{*
z;pF6vC+}gB?Y~EoVBah;<}O%FZQ3&fo(UdaXoKyGm{haiFAMu@J78;P()c|1C%xs~
zIykW5oJ<jXR5UL175s`$F}wn9yewk=63*McXjTRPTeRt{hKpVsJ#K(0owgpofY;^y
z{F`89J>dftaF>@u(>u8OU(>H5*e5t5?E}23v3j8dW;^2jZ2*2R79o`nb2KNs{0x(R
zt1Ng1#|+;j{RT^so(*{n&rv=Yn1n6lpEwfz8ZZA#t1#mf|LI5YFO4MmKg8>=n3oWJ
z{RbgYB;+_g(f<<p03ISsw<3eTE7ERc!L)Cqp3=awrjgxg@b~(xz}+y#^OtAS;f2+^
zZA|dvzd~$DFpK}A3>J7KB6geT^YR3X3cy|F{|4e=X2V2sAy_t6M4jk!wS?#%haEER
zamT<HLKAqU;3|oZgjo2rQ;3@a%;Ya}=@#5t9((pItm<t&d>g(_doxB8?p=Ic77A<s
zxNWNgkLxWQj(~?s0}74dR0_?%LGS`=Sg<Lq_^4o<=(Eo{?7svb82wju9safLI_nCT
zvWgtL0mtsNlDrB(x*N2^4}SR6c9$Q#Tcp_g8qC3MWOx&1{PIWh3hZWJd^8l+A3O5u
zD%>us=5+^lYPy{42J8M+RlN&a=fC$S`dqYvUov551{!@=*v?;|<RM%=?|R%5E@j%S
z^a9Qu&Y`^o7mL!cRKQ00RExy+Zdm*(Y=IAONwr^uMR{g}+hOjptU_XYaU<{de}<n8
zwS_vsD|&6SUtlNxtyQ8g^R7yA68>bt)p-H#dS9~Z2i)-K7XAk-{QR4V4}Qa=agT3V
z!F~C+y*6Nq`p+9gU)Sn--3|&IzZU)1Z3@4>?-5T9mrs~i68&FtMu(YTIWw1-^DyNR
z)eUC&z1_p@|M&NwQaT8;?<*WIK)xN#&%z5^-56Ip2j~1^vlE299e!}>z~n2tq(oqc
z6YL3k@V)k};FB<u1-pVGEN1=jm>ldls{KL<KGo8ERT<voP>Yg-FB=zVsKE<l{+sf!
zqexbg9(;S)CSMGWAF(-Y47Xj0Ws`(S)J$$!!7a2wOM>u{{c%ehID_(;y$EciD46FA
zD-9;e9EA;kQe1b1OHMQv3BUz%|606ZZLuhGcK96EGxuxocZC<7obVyi$JHV5z@@my
z2jI6SeeQ<Ce@3d9SmE2z?t?M#o;%LXG_ZX*O-LfF`uy&R-EgK0#rt&FN!*5x68<Rk
zF*_6HstLcb3nq(vH=7HGv2Y1(MqvF(F-|IkWegOu{=x~thNI;$?UTDa)9^}Fv_(C9
zbT~hG7QSZ~o!bKUB=ejdh7U{q(R~NM4V0-Eg;ng=@Ablg*Ya#X!bxXM&whsG8S46a
zU_nxgm~nVQztyB3R&_U`nT6j>_jSC6`-V-=Ey1_s5BinDr{nJb`wj1j6r3%C6=NT&
zkx*(Xywsv}%Y>z5Tw1B%qY1QMvtf~0?>&3r3B^+}39y!DN;MNaASJV%1lN>4B;$fz
z1kDN~U~!3;g}iWoj|pcKe1N=pO%Rseb?MzTc;IGdmN-mv!9gyN=udu`k%o_dcA9mA
zkC}Z=P=Kw!Ua;_lw{>QQ)nMfe<6U+z+v}ll9k|L+Gr$3MP@eBHhU-Ni|I>vZ(8z0B
z!|_uI9tLp#8N<|z@ZSw54kb7-?6AUR_>Z+wtO_irC3E{KOjgA%D+PbQMJf>hGj;AP
zmWHXmF$adi#)s{~B;bM;U;PN!{(;8Yakx7^HvKMqE_d_M5h9;ZQc5E74`Yl1u-X}`
zyBTmVOK2k-JRD7V@)6v>XeYr5F9jS5E`TSKXihDM<N1r=u4}dM<}c~C|6qsVBGEGV
z=8FyWFEHb{UJ;SsmysMCB>Ixa?1)^I_IX$b{I)xkrW!Wg``^BHI8M&Iu>{^rD>Typ
z8!`qb6aAe-UcRqjhe~73XE3E#iS|o)dBm5i7#^hB{8A3<S8Db@fg3EZ-pYk}nSuj}
zez->)(_{D=g@FW~q*b^owDV^M+;G~FG8f*n%RJyd?B;O1{sH_aulGnaT=QMef#^qU
zi&aL!u7^3;(&4D_%h4gQmmBW_(VrphX1xgqPyBkE44VhjE&9Qxfs1}=ME}y&8$NLR
z(Hh}6_}Sf`$DCl9%P$6qe%rD|jRV{)>K7dYhoq&&S;4knE?*$}4z09Y7O+9T7}G8I
zF_rqN5&Y)kq1oH8)^=m40n9@>l@$W-8~bOf3A<=_UkQh=XI`IHgQd#j`2*pKeqk30
zczICn36YC7SFVe~&rfZb5qXz^)pa&FeJ*5x$S->QN6iB3tH?wXd6RKW3>j=1o=r)N
zuaF#mc2byg$f%ykm&R)|=fZIPGdD$w$j2>hg=S#JRh3^vUcWN)yca&K<KRr>vsw2~
zcf*pYd%1$(h}Z*-wXk>~?R_F&bMDcthJ72#b&34bbMCDIm?U#)jTrA56ce|f!nNzE
zg~azEep-(%5!Ng;J`x6-xN&5}!R9;u3=_Fd!A;Hp`1zT{^F;1#eZI&KKAa#*cOCXz
zeJ)}Li&#C4B=YUgaj!1Gtodi;h}^7WR6!GNAx(Kn<QAiEyVPI_)nk{5{LE#pqk{0^
z!kU^$SjhgsOMaN~gNDZqIJHCl6eC<2tvyTR42zoWdtvST&sju%{Oxt_)lfXouCO&v
ze7?;+cb+f7pH787B0gWsn2RyVaP#(k^E~*0!|{KqaAWkL+~;ue>j$Kl;XtW#X$|nU
zkENG8Z1myVw{}?PS<~iV2%hKAs}kNxrK#XwCVOW9KBU4hxrto1)iCB6OhU7>j~019
z>lk}J?EUC`6wzNC7j3@}k8wl^Q^OHE8V^UqBJy@_gLwU$MJl~SSnzL8dOv(ZM#=py
zoIih=q6Ho-3cHsK?>ILs@dnQR_NFQh4(apBEQKouH@~IACx1-5Bfj4s|H$qjwpY9s
zcp?*a_Hq*>-oK@6#*X+t_5{ArB(^7F82W+OU)$G)uV%nGH9t3r{rhh&h@9xR=Si0m
z`!|F8vB*QXEB(<Z@p%b-p3x!t3njAZuCQM`rGE}=rkmsA44WO-OUs1KS7gUcU>i@z
zH&0+exktN+`8-RQ#(?NE2`w~f!=jJauNS~UI}8>zV9jO6bfVA3F>g++AH}mCErsx}
z4DG0sFz1n1lX<X(>W^hU*zr-r?&om2r|LmonEY>TJ(0(&37(;Wlhw+96vI1ZqTPt~
zk6E!Mg~&Uc-0m)5y`;8!+Cb!<JRfT3VWYJwcOoZwTJ(ijpWD7=+#~YO0(85&;VPCY
zH6rJrm_1rW<OA_uM9#0TZd?JE7F>LN7yjYWbz2?IqA5*|gmp4)EVT$zYe~Api7Br=
z*Ks`f(X^P_3EoG4R%r`<lVq=91@o$NvJl6c=O1)&pNC0n?#+$B5$Sab1~3aNsc|RF
zE~s_M6b_q=4DEo+1|>T*;MM2lZ_?m8?ib7Y@R9V>|0TnMZZ$bXzIm>TJ`i4s6zU{$
z+Fhn{*I-?Gsh?Uf<E5%RXZTEU4wDh=+@{d)2)A&Rp3sGdUS`P?=Ld^t_g^rEy<hWP
zHiS#(ME4MReNb7nG(0ta`xKE&=}6a{gemkMnG)~kPnpVl1WtRm5@G_&2D2OR!hCLA
z5=8#==Mzuj{As!Nq6Lv_h#bqJf;ZPQXo<XWvGmmf&d0b}zZ@rW#my7*^Kis6>vui4
znxU4a59au;Lr>)UrsPj`!xxPzb#>r#hvw)?U~k6}zjN?`&mR9jKV|eeVlDwY<c9K`
zLf$3JCoV|z4Suc4z`T8HJZ$jZzE?A(@QNkHCIdXj%~`h-K5e5WOAXs`g~SopCpdC0
zFp$Be4xep_>l1~=AB@(6aeY!=_#|=tBl+pVu_bsiC~y~X{UfC|>hd(KBGELG3x{4V
zQyPa`U8zfm>nUW02@b=s5A_k&dobtu*RuWaH9x2MbXeuSWM>Z?n(zHE5q>IX`}iH~
z?p%5$1+KF<X=#P$V_QbTVI#AsjMuPj*w*t~@X6EELiO+$|D6suVRs{!FU9cURfk;>
zaC_;pOCj78e(6;pe0xlvH51m_S!){#pQ{`%NQXm&>kkCLZ#HF3W8j-2e`|^D?a=C*
zxearAZ+ZB^C-Mc;uETeKAKM=U|MYry^cwuo_-Myf*f?CR*d8{F&{rVx;DE)`ws7({
z^;IG_s$yX>hb^si+lcM`@ovjCfjyR#uY17HyJQ5<!Y=u8OGMsNwOof^if?!$Et*H<
z*L7uG#9^mgCQToh<HhEt2y9|NLE;9RCvx>3g`4&+cN2ZLx(PczIAQf`gcICdAh3@a
zPKzuOAo>@y*B<SMX(H0b9AH}`X?;rA|GrVE3+&=S_iZQqpiEZE4qn?OQvLTP{(Y*9
z)Q+&zJcY(4d^2t1l_mUGQ~l38tlyhqOY{@-jz-PGT=F*$n8Ui4)h|rIhresg5dDX-
zLW^JF`6$86b1>hkPWxy0zmO$&6L@gsr0FO4xm6FZ9xOUxD*6$w%1>M~faMZY8#`g2
zde3JX@cFm5-Cx74jz4sW{@~&bl6u%E`3;#G{DkM>rwTZI*{7fA2klFDDucz$^lmG{
zPah34J%M)!6bcdj73$HvNAR_0A>ZWTta&M+82E{{+j$}n4pw?~8~*xUfmQ)7aQdsQ
z0ZVb8x?~E|Mt-i-f|>F>Ds14HwOM9S*ndoW(-k%`e-$YXuZu*f5aUC$ug2;ayjb$*
z0P*=pq{Va!!5^+j+7aV1YW7+H7cBahnt~YLGUghy2jNg%HT}D=ilj^<D?EGt`Js5Y
zb|<wc2b|9S^D^=M8({i6vKwwIf3YVEE=+u;wHN+HwPc<LSG|wpp@yHQ=?N9UO8Mpq
zw6K(QoZkz$pH0@89Nr%=uU-M~H=!7$gvrVUlj~vLo!^Q{;2jnbjtwwF_A?GLSc|f)
zv>nb04_Vo~f%_veoT2YvnP5%3e=v)w^#|g5sZ2J9^lw<3r95i@zPUN|bRD+KU!5I=
z|1&JRu>=>bs@9FeUv>xlT7i%JiK3i^UuK_e`3XmU{5&`hE7ej<{s%iLv-7UPWfQtp
zL-4cL>#2X?&ue>*jKJ*UrzglUA7=L!4d=iDzU!{+uz{tyW-jbCpi)I#4^4J^`X?1O
zr%5ssfDdYs+)jqKJeBAV!M=VPCnMo2M}td`z<M9^+rwb{0%1okI4MvkD-d41t8$X)
zvt+yw4S;3Tm*!Yt(%JKr-te;<<n_e+3v@N4dBP@M&pjF8x_U?VOYqZ;dc^~9lye`6
z6I^lF@%L`H_0P3W7vP`U?(KVFF_)iCR<M;FQ{XQ6P<oR5dDuUeO@|id@1yB9f(?%~
z>>$>Ip2uZ*+OT<kLoWrqSy|Mf25aS!%dKI5Q4gCuJOiIKBiX$U^F6%KEDL|XqTo9X
zKV+p(KMwbqA6J`$`8(4DCE!lY-mP!2>km~jLAWTqsdEbUzc7%*4|5e;hm62?*dkmG
z!3(D}4Zp%{<}81?;4k;5C<o!~%D27DaJJw3!6BHw-o}9mrrGBZ(*wV+-X}{Bx1Le8
z>W2#*bgZdiY8mggW_Yo3#|bjHCrdA_4X(AwZ6kq8w<on;!&5rund?C~KB%nYcms3R
zl8OF?M|5<1s$o%`YKs5h%=3qG>R>a@w%Td<ZAVW-4qRLvk}wW8&1J?D>!IDQ#fo8g
zXF>HwGJJ0Rd2~O_Lvr(78qBeItmGr?H<T=S3oe!a74a5sa4;sn1Iz7s!Q2MRoEWPP
zfqPcH7hc0D4C%Lt^{^;fF1Q{pW<Mk!2%m|3Bm5k;osIrV^y$+Q8VcdF^m~)9!KPU~
zN~ti35CbK#{`HI$4kW?f^b%`{{EeGSQ4GxJc_NzF-i<37@^|1zo#hHw;rJ)Jn8M&G
zdBeTL{FLDFGcOqC?eA)Fhda&|1zm%$-E&Uyf~otH_xQn17bi6?!EWltKRn=1f&Ofl
z;koRy{%&wk*ix50oKW4wcLBC<ruQWJBzLN+EaAW3!w=iS-U^GdYA{I&Ln@JfG+Zgr
zfU735zY*_ux6Il^78dopA4>fDhCQuYPs6{Y`MZeu^Rxl|gOfzw{xFO9`A@s=rjdqa
z{))~K``bLKdR!dd$COt~%%|k!Rl3Jv$NCeLsqiNgD?VZPgH6FFVm>`4VUZ*Xy9Y?~
zJc5fF{$ApTU7kH#ehlZWZwwxT%}&b77s34vsn2=g@udR#64=uuiQ@>&z9?f}1uL5h
zu5iI(QcsW7!Z&n}+8%;yo}Th;g6B)M=o#VKx?Rj~;b8;iKqlC%F2k-Ho(=w0v=oT_
zx5xGB7@S}Fg>4nqSS4%x0dHP5%o>AJ1D3@8gU=*M(|v<gXk!BZz#JPT6GQOrTLapg
za9>cW{s<g%$MYT;=7W=*yN(XPa*0*W#Qb1Qx{y2wCs7$y5c7}HkhyC&T$Y{|PRu`p
zY-fggVVh9NZeo5rC7fUK9-e;a^N^U|q&~!OcEPio`+gGh>t5Eyl{R?ri9tOve|j_b
z+jhWWUJF#B@aqQ>r<&mKJi*W6aM%V@UJHEk`&(Y(cvrUCBk&bGm%DRS4&I?CWlHoj
zt>mM12uIu&se|3y{4Dh0>;D<iG{XDo%a(26^6ISdYWN@5T$4TA*k*i;$cH8xas%O2
zn^e*oIIH@P&rNu`++~D#zw7TscgMq`eUHmt!p0i^<LJKQx%&P%fRlz1LQ=>`p|X>e
z$Shf*osnIM%zP6vLdljrGef8-D`XZ~WhJu|8Hqwx`n}HY&*$UyzUR)*z2}^JmGw|0
zJWA~zO4cX)BiSW`<oWrQFJNJoE;aJLDWfhxiL}SAPB&Nrk54~iD}wiKSIjSmOHESz
zNPS21r=?n$zqbBT0eoQZ)}{t{>1L`lssHm%<uZAHq-<P8{{%K`brK`*kGkd)C!WHZ
zoATaFz*Cots&nARg1#6s{%B-L7bf+8tX)Ru;a{c2RGDyP;-jKJFjI57LpE&q_UONV
zu-4<J$5Y{}_pIADV0@Do7s^NK_pqm0vA}&=vF*`t$N3+d$@`&a|M?w_gJ1Rs>hr=Y
zly_Mo;NYYAd&u~SHpt%lAv`3ZX(t40>s&h*3@>uqD2T!#QfC`N;nDz_Kr$YCE3TPv
z52m9KxJbrpa{o!uJb)EGHDoHoW>5Hsec`6T5f?R>LXSz?AHH$Gt415%UbVL84lGs{
z8-5BNd_5NC4Qu`<Gk6~Ev1+w)gOwt5@-M-)Z(eq}!|io5OXehZ{Ljk{4s>UZBjZhT
z591ko_|(zjuMY5kKC<;!VdjCFVrQ6Zic8`;$r&vu$oQ3J|H2kaSWfmv#~t|1&psDx
zcy@@1^B(MDm8W?brh3Re9SEO!5L#vii#(~6j)eQ=3_~x$SElQ>M8j2;ihqq@dRJ=$
z@_vafYfI-@_`0$UA9=sD;y-!p0(@VQ@kS0z^EiKpK1?0GP4Nj#IUaiVG@Q2SMPM;J
z8$c_j4j+;(JWvj6+fO8&fVWDWxmgPf&Zask!CXu_>g0WtkJO#dDzKB!d^j23GyW7W
zk%wcyPnveXmXVD66yfVF;rSooq`Q?X(r|92p9h&QnDCFkA_uRr2se$w@1CkC9D+}V
zam9_nv`jot4#ON58o$oKAx`z)BCz}A7sYdMm3Zn;F}N+kh++jEY*B3356g+1>>%?K
zYv0)q3BmLOzc|SIs-jmfsQ1AE%L7we;2U+<zmodJP!V79zUntSMfo0B_6(Z=2OP3#
zK!DVDAAOz72PZ{c`@0+F3dyqLhlR5@94C2OYO0<h%(XdylMBvx;m@lK8$DHDBJI8V
z+f%9!Pe;_Xa=@1575C1-$J^77kovJz^DZO!{;%*cM)=I~UT1T7xYzD9GtA%IR&4`&
zsq6luf`6C!nmEAqU4pio;T`OvdAH!QkX5!Ncg&Zq^`5)~4>r8_TY=N2?nVcY`o@B%
zJ#c}HV`da=vvW+j3%*%aeSy4xa+cDFErCBMr^Lp>b#}oAUcjDN<62>G-mB4n`LNTS
zC{FTzD)p66L>?^5InWUZCkB3$Pl8#857?7>`7Qg~<6(_hyS?||9$h|NKlpO0dL+q(
z*F8S_z~?UbA1Arz7<Z5}9JcsmjBJk|lMk08yt!o}p1d#P_OVSigi{jyXhPs0Lw#Zw
z;aU5tN|Hw<Q2HN*Pw&iMCGG1EyX`yz&vlFxlJ?tA1le-IKgPm;knN9fVy57Pr+r>O
zdH^Q}(x3Tv8`s|!$>C_&J27>94Q}!`iX`h3w=84ogQ;mgrX<3FEQT39u%GU#!9)0L
zf==6WSdNnIavH2XMq&CC?q`tP9uH3zc#p)xfjggilblgV!6_E@<!?Gna_f@bH@9JR
zcAOx12j`=Ux8S{7wfK|Z%JX{*4Pjwh53|Scw#*f!i!hB!(2i92M^gAPQTWXRi`l2J
z6jNTlINW~OP`(VNpNRZW;)d(*vFg%y_?GWu%NOwSPuV9Uu)S=ITmf9Sd(v$bzMJs0
zH4kP?85HS<X%|w`GT;+j_x}#UuequYr@`udZqK^mj~oTG3Ghq~uh&Odl>U8EES#6j
zB-sIn$v-_F2&bLWe^2Up^FDnFfNRYZ{aRtC!KOklm{qmUfYhh3EGv7$e?sfGyoF;X
zzO%W)m9-aon&AuMoO#Z$^$C^0T6q03y_YSV*3x;t0Y1&I&SC?z1XXM$?>m`v`6~_K
zqnYhFq&_~}>eNN}fKRbeIlMHevZ4w1?kZiWhF>H-2-bkrw#OHg!0+j;q>sSP2ZA+8
zdvzyYG|Rwt%Gdvq_p9^4E*g9=S7Z4#k~jTr8{mPBhNHM%z&j&S{F&kHZI>&^`ULJ!
zuy2EZZ<M|99NxG5EOzA<p5NM<pZ=fk+AXvMKl0-aA-RKU+MRxQs`>02(*7ZBc9uTa
z^83Eqr2X(i_pM&Rmt(n$U&F%t7*@()zJv*DGXHy~Eb_k$*n!sl1Ie|rHh;^4^$lNe
zHNo?$nIW<8>+@SG+TfYq?W^(d30dVWz3}kaq4r2vX346Xy#Fmw)0U5hB{kD{zreL=
zUEcy=_miWQ<FJSHG5tW8ONfVd7LI3K=l6vjugiZV?}NEFUybyGgI?d-y9z(z+;hbf
zE(whM^%tJH64d1dAJ==Yuo?5=6brvR9N`J8wNGTeoPGSlq%*wd)e(X1aJJ!=YFqf>
z7VQP{e%LM7_MkmkzCB2Z8xEd-)ny8sj%N*$`FD=*+)5U3_0jM9h2ex(HLOOk1?}7)
zQMi|Gua5~V*D0YY1HWQ1Jg5h!|2Q&o6i%eBh%tcq)$RzX!?{M^j;X;iI__^ZVa}yv
z`Nv^v$(rq_;brROPCl5s+l$={USG?#=7m|zq}ndPl^095vA}g#D6g5onJo?(+u(AR
z;@#(93AUyGXkaPs$SG1kaO&mOEwJfE{JT)_tm4tn|Ng`Lv?-S@S>HJ&3YWidyjLra
z7QEOMps@(|ilonw_t$L6x`V%A+k2<d$o7w{8To&MB^G9mlKLSPVfIn@>-D%f6_}Z^
zc%~n=KWJ7>>Kk|8^XY?42Wg!Y;J9GMb06T-KiZBd!E5H<C)?qBeJ=Cl_*vgxjI4pH
zXy!smeR_M3KsC&>JxWCiR&q63D}k>_YB9;e`y-XZUcfB3X6nV@+rv#31#t6ZYQ!O!
zx~^y`4{p4wq<#=)Dn8Ph0e=zt$sz(Pn;bArgT=>!-|T}oFFZe-0N1WaMG3;YrW1^!
z;j1$CYiw}afPh3OZ0N(%%noM>?r98yD>fH+FvGl61@V6H-ZU*uRygE+zKAb8eEHk@
zR=9`m2$efrt$nA35$+ySh`9y#sPFLF0?#zG*f_%CetFuo@a-$z|8Br}rN<~Yz&6w7
zT~}bw6YtwL!oS{ot(n6)ZhsEX<M;66Df4?nctO#JihMsY{F~qMBAlzhQZfU-axIfJ
zfd4xacXtjJ^7+tu3XTgAl$n5k=31s{z@v-!=itfm?!HpTVV7&tW#oR(`CO)09KJY`
z#!K?KlFKJV;Tva#x=GGNJ;x~sSI8%&jlmnV8t)x|6TfW#N!BmA<@+akSX-iO?+Se0
zw^)4}?2;_$K=zMfNwj{&759@o?LM;qo@R@pf8p|)cl%ginb^^fGjN8REB@vX=Pw(7
z4-4Pm{<D=Aet*p<x(oisE2u0)>JMig_yAkcXDsl+$%(f*>)^fPd&Bm_OJCnw*T6b+
zNh)M{Z|C@JMR4N@h9Q2qU2ZPpDV*(aH=GMrOSy0>2M*r%(wNk93%{VxhH38~VBQ7$
zi2A*Zg~chopOAW;Bi~O(!?wP^OvwF4y-$}r6fQi@CQRz1o|F^?!4Vq+Mz+CUe{$dR
zgU_&M=ac;{4h-V-g-4lKP09U?Qq!=(8E(`*u}bP+n|EArgas^$3dsAwMy;d`79`)@
zbAkbO9NigX3R4*<tZjl%EqqZlfK38VMU(a>X{@?V!M;N;G^pTeRbdZhI5x6ml(cuU
zw}j~!oVA%fhJ1gMEIm!f3NKdGT9EH;){XRB+2E(Yte%nm`RsRmo)Z3Q$*^+|EaE$P
z5AUE~cMVy+BYCV;&!$QEWY45H$%C%=#*f2+`ikF3{yy7+?E@^`mZC{=7Y5EJ?Qo~|
z>^jMvN-e$K!d@fK-*LhrW4x@5Fl7Se9dduSPhSat3R{GVeIvQ*<{JJ2_@eghSdu#>
zX|<=o9R2;`<o9dr$!?JZA1~$mM)t>H+(afCJ{8dVjMTS;O0-784k;{_<o8>j{NJM>
zc+=}raq|1!7P|jk06g&OSnN8k=cE<K6fanxWyFFKxu3G0q$f<f#Jh7DIo0U|YFC&c
z_0?DMJkvDyOmc?ntJh+F!>`$!9Bkq9Wf2yOu*KZd%{DOe_V;Y$_Y<9<R%i&Pu+2Ut
z^~$r7su$sx;Rh|IV8MpQX-)VWv)o_uJnfIE^wxmQo;W@w{W+g_mh647*T9DY(*9LO
zc6mNHOnH+TX<yw?-M`-j<Ab0ABl7!;*mRAf4`x2xy^Z`nZQsqt)WNUJGF?bslfxxk
z0~a#B6(l*nOUTKC=UzJplU$IcQy~YYbBsJja!!s_<}_HWrhY5A9=jK$AE&_g^FLRw
zVg1q>m)&DwbsdJFfACO<)B6zEc;V*xA^0?PW@Z3cJ}O}^`JOE0sZ7{ySn4lL2I+sT
z=DAon!zEt(>`DKKN4I_10k-m#;UoQ{4Rc%DuECK8x<5&OOy`n~`4u=S=yKW<xI8^a
z+7z}ga<nUig}S%48pBNjKD^m5f4%0TbFe{b=#Lz@>{XG}8F<U7q|`_73H{%+I<P8x
z*7Xc{h3RstCakyVIX4*(2tGPJCjyU9<?E96{%jh&Bo2r8XC{*M9Y4t|b^vy8OuRz2
zx2cD3lPJ8WD0o91OqZnBCjhT1`?it(YeoGh6;e+{>CVvxx7JbZ<b%z3-54kR<BR(x
zYK7pCQC$wwpVF1riQWg-^{9-K=fxYd>o#Qhy4w=o<b1gP@lqtqPc!e+Ccl4<xkuXt
zVUd$8<K%vOb4%fO9$3?FV-W}Z0u#NYKDBD~AGyDlOP&zmgpc@4z9aWfrs8XBr2djv
zpC$R;;qhIYj$QD#m_~8(Jw)}szjCDh#nviMWq4L(nSm94x%T*^8mziM@D>~Vel#_P
zd|yFr<E_07K5ls5{1hBl#Z<}+7r*d+dLEuin>X1AKiGTngfSc*>)pH=E~itCvVz%<
z*e3sTM*n)lUQ_aY$L#%O>J7+aE^!q&z@?%MPk$q4YwT8Yg@br>I2K{k{Pz*$`;j_6
zk)Jbg0B?@54_s;c^1>X<cRMpL5Vp+;7oLRkUEN&C_gwe1cEwJ^X)3Pu<a@7z*FSB(
z!NG4e!eZgES2ugc;oi;12UB6Ut0!_tV7~2aIq7g~RonJaxW0b-VjkR*p76aNzJBpb
z4f#IikUp=$5Nz!+!cYRo-k9L;g>4h^K9#{Nu6E&laE(~5KrQ^SMcncO%-QSsyB<D~
zEH6juO^(_JlkatQxh&Cl!2SW!7e2y9yEcz@!RNdre}9J$I+VX`g;niVs;1!S)X~di
z`6nZ@zsUDOKWHCFlI2h4lvFXoZqZpZ-SE_&XXklfxrB{U1Mqpi??Joa?Pp9z$nhww
zXnU;y|K@Mp`UCz~{&)TeeCy1nFXZ@U_f3Xq!8v|67?$BShV6A4WceT4Z>_?A?^18m
zhXw2JWRmmgOed_W3%mc`zikt|sggVV9PH>2CBGGJeyG@R8uqhaU}AzJ8+c4C;c_ht
zg`F@*r(C2N{Bi9)%Wl|GkWJVL)|6H~winK~IcRDRhsRd4?uTu@ZCLe!WyKFGi@~<W
zOroAJ#h9OuG)$q>!WsjsKBO#EfOmiH)OZLBY_k2S1`j{*6U&D;HO+8n!}PNL7P)W(
zXT85J+*)w;*>l)5K)vWJEShimtq|^OU%Ph+X0sB!^BRtg^?6|iGsklkRl?_k&3P<g
z$-%$>8sN8U6I$0{bF-g^>fo1U?Im__-AIeqJGj05>{l0<r=+a-E&O3pxZDkv_O{pQ
zgDFf($Gl<o;B!7b@J6AeSN^cxZ5qyT_}Kb^iD3BEt4ZCju(ikT>Iisqd(6Z<oR?oP
z6$j6#Iqm)hKgq7zkOlMfMI>?1;COuD?n#Cdre9s<g0E?dK1qjPS6!wOg{i6U-${hc
zZr*PfhXc67CrQ1v$0bfVc-iNpv=1yxJFKM!pJ?q(y9<BpDUQ>IKiw(hya6j|Ec`tK
zpD%tKK%NgZ)vYIuVS!3P5py_+e&UNcd@hnJjvT*>%ypvI;Z18R-%h}6hdWJN;Y%C0
z-ByQR)yy;BfCt`Y&y(~2?{Du-l2g&Vxliu*Ss@GiNj|P8AV%(op&D&9&af=AP6N5V
z2A97(llHX&@@yDkVX<dh9pR=oeH8St7)4X{Rk%FW*zFIl_cGygd?eqsD~53a9-y@8
zA-PaQ+wEfbko!prUzj_bm+3hyRA^A-2H)~JQ<4t5^FBN21;6-LsPzaw?OgJgY_Cjo
z6L&oPq1dE})K3fwzKDVMs93m@^`&sA+zW%BcWpW00()uE7d?QFRBtV?faNC+_}_)k
z`sd!VhOItCarnS7Uvh;^V8b27Gj4F>ipr8H{PPXp-T&ab5z2WN;C)5P=N#as)t;M%
zFuQQcv>i;{-nsuY99!K}Z4H~>H(xjlA1FQHbs4TM*Jn_G<4x@hF2F}a`}>Z;dcm{b
z&%#jwok21%)6kAry6~a=bLWr1Y#);Jv|+Z-+H{BDch4sND8Rx;G}1`@{J#H!<zcZ<
z`7>hhY;n@%!*Etz5f7=im=jx+fR7qvb{>Gsv~MTwg*U$Qzeeh{X?IBMf#15h>=uNx
z9vXdQfhp|Ni-qCyS1Ofvz&jT%P)flPtW2*cV2dxe&B^}kzgniZ?u7dRjpYuKt2!KK
zYk~Kq+|AU0xd%7qH^Cf6mgkk==9vTh#qduf)^d`6i}+RX44&lqb)DoNWEl=8!uwJ^
z+em(R$4GM=EPUmhH_0pY=Tz>(^_H){kle|-wa*)#l8A~T`CqE8J5Dg&t~Upd!<2C)
ztPXJA=C~oUz3cwv-><^Ez4LNNz3SIAPir_L_qL%d%;A=$cNrGBd0#*tev}e9ZUnpc
zpZi3P=b6En^0Tng(&bFDzyIEPjOoEe;mfrAaF&%{*-7})*R^hPJZpqJbx*(nJKx;n
zf%P5z_b9<8uNn;a;1r6xr3$dEP{?L-f8m-5dLRwE^4@#D8;(&8<vk2rwd&kuh3P)U
z&I`ktEULOY;U`Nefd^stRq74fU`O-kV!Pp<=&=}5ud$(~ksZF2^7te@oYC79#{#>~
zhq03SM+$?YOz@11-rFtk##dt-Xkq1H$w*pw_tbjq7C6`Bx7r3cXdBIS3Rw2shi#kS
zzYJ=ztBx4o325FV_s__O`Zn`$#p%6Df8Y`Go0Pxc;~7K0XW-EAyIqqoJ6}=N96T+U
zf9*T`sKCZy0xnsvIQkiW>3Kwc8s;^g=p2HNs{fi9g&78xvU=f%)|F*rurJlYqunr%
zjpOwpIC}q)ZEbMHpp5iq_~y<$`6hU0adKh@+?rg)SPOR;npk(jZb#+iE8&6*uUl&2
zU3(1}U%~-0w`0ij$W~n7Ljiop{%+wD*iK9}GaEL(CgVn)Z&^YiHPP^m#y&$A_{2Wr
znIzaYP&mR7W?U2-3Ws;E*fNs-z=Zl7Z5+(~yiQde&iu8jjpPbp&kcp)A-ay0SeRim
zb;JR9=WePhl3!Mz&tZaF*9#^|zIaPxm;s))x~LioZ=meX`GNk<#S6>!WP2Rx4-QYl
zdn}GilKc_dwm<J-UG9O)B=7!gDbx<94{QC2gfCs#GTaEC?Hu4sfDh+g+)nym&Qn_D
zWPSf0t~FM`MQk6(QeYoD?X^-kIpDYl+263{p9N3h>(i|{8F1A>g|GQAf3f_rG?->(
zBsvog)~mXn1CM_ZYDt6H9fYXJ@pR_v@Qf!uo+C<*_lAeNieq5+svV7aaEp4SRVd8c
zvXQ$SUPwRw{yv;CYKQ-^0>AgK)4txYCdbI<Dmbr0xXcsIqItnU>hA>o$7Khr*K!@H
zfyX&Y4Qz;o3up34?(_b;Aj~RpsWuC)XTM)`5Z-pQ?>yO`Zb?BaGJf!TZneh|ruM6u
zCG&laAC^mRz>2cx)5&}t`@8s{EAVE@Ia_hq|G5O873@0a$3y0G_zb!hjo}}(>{F!u
z7nBachH$)eeiCV)=Wdat4jkq7R)W-rKRfqM6ApfR{u>XxASkIW1#><aRVDeR;4cG*
zVEf@4e@O1NbmyrMymn}+hO}46cj)*5IJw@%nT&@brQfsj!Jn^9E0Fo0!TtB2@xUF@
zE^}l)P;^YdZx`GwI$p684omsU!3NXI+S!r$oU<G6{$zw}eEMa`{7-aITM;#^bm8hL
zGGAsS<{Ur?k5#p^llgCH5v4c74(M-ReLi>(?#rf4_z2tAZF)@JS829XEw;fmM?O1T
zgWXxfo8Q11F+%dTaL}ClQY~z;fBPdtcr{+Xr2^jg>Vl049JWVm<s}^HBHy6{s|oFE
zD}?nF-Q)FOWfP&bT-coF;=g0CViR>oI;_I`ut^0T6Jxf11kWy0xF3OoRDR0E!}VHH
z>IyJ(A^p`T*s_f-PZ(y{Gb0}YTc1DTA_kA|qw0D9n^R^82*Ub0b+<iWM*hVLQg7Qa
z%zPW}nZ0DU53Xt4FLe%9IQ;GMAy}s1U-AWb|LolYvi^Zh>FSzr#^y|ACAdDwrBEBz
z(@_u8fbU*Y@>Pem+4L`x@7p6!uuPwTY2N?NJ`Lxae5zK0EqMProP&RU^b9BU8Xd>z
zufVYm3YLm+UG0fpa=hPdWoje!vn7*zo#5)BcaP*qE<QWs0;_#+a3b~L=OhFD;lh3U
zj?2JaPBN$O!~Z;%3Q0YG#-~T&@MGF+-$U^A;{!GiVUz!K&X9WPuRL4G`#^L51wnB*
zWIykFGQYs{I%VZBeE5Rpb@G1ahOT0p2%K`vLaG9mI5V9>+7qC9{Qe#M+VZZG5S$#8
znLy?f1dm@DAoaNqj!*Q!onbSD0<dGEauIpI^K@I1H>qdu@z<Gz@AM0v*$2<u^V<0X
zHWv8Ae*g|RQ(r``S2ZW&l|8U|?kf*6pO~2cQ<CJZuTrhZ{GNa9Rcb!isV!EF%-`Lr
z-}{NIulB~LcVs^I^u?Hb9@v)eeUvENA?vb()K4)vj*|HW!?!w>+hMKwv##X*i)7cP
z&|UC#<pgFOxMlk_GiG?;LEr$HKM-G5dq?VPJA@8gfU_Jklj&jmN4w@P!KO<__N0E+
z$~g2o9Qo^o3LTu#r*Yv1tfA__x($|+2$?7I1N_xB->Kn#_5Z5K{DAfbGd_}s9yH2M
zfRoi8FOqzIP2C|GZU~o)C+#o1c$-}fANuBGOWOZpT;xE;>q`3X4+z6rUk*Q&!t=<H
zx$2xGJXv#O><~;VsX}uSzQ}ErO2(U=OGgKk;Q;Y#*Sz6tjn@l~6K{O5DFWV3ciH<G
z+)x_aPR5`99j=q4Ui}!??j+b&+p6*iTzH#nJO%E)>cOu7-*PFGd<_5MvR;;gX=L)(
z$@o+!!oy4!=E+ddDuNU5m>rgY`+vypcnObd{D+x+yl-lGXI=%H-#G6;_J=d6UbqI1
z53~Iw3b*|@d%Fp~BfrOs7iOY8#@G(?tR0#l=lAz`r(rLAZ~0RQD?B;*bans^I5+W!
z4gPmVUEv#iEz2i~22NCD`!ETYqy=x@3inGFaQ}uw+)npxg!`^WOf10pt;Wh*V7spU
z((5qK(8&0bJ)W=6Cz`3y|8i*`KeY<`=KAd13Uh0+G<}1oe$(FE4*%obF7X|%iOj0w
zge~abyT5}^YW7VEz`J(!voyhU$7GYZVYRV<u^QO+^QzSz_)l51M>X8dd~p{$>@KEy
zsuaGrY3C?uPoU-8_zO7F$vKLwZ|n4?@&Y)zMA(E4F4X1Hdjjj2-D6^eS9Z4YWx`2+
z<olUmt2;FMsqp0P8AVF?ZEnThIQZ2>BF#qlUjA@JG<?SLcf~69|DsPsNGR;(ljKK^
z$42dneZg>>+%M@x_~bjgB|lg<Cx&tv?lnpb^@UF-PZrI>F@C4a++h*p2Oi{jZyNDg
zz6Jjb9T1&@FE~vm+rYQDnCeLV8J)dSS7B*K6PNGsY*{b08T|d&Zv|4{Xt*QQ1h#pv
zIQIqq<La)a2S4_>c$d^)OsE~ufyKo#q()$K$Ac>e;4PJV_(^|Qx2V@l80HTfaw6NG
zXY6s9AO4YX`Y74{$pyh=LHO+Cwg=?+wB}z?VTZ$m=XaC-deE0`PdMR!CeLli@ooL|
zk#7rpTX*&iIsSefG8G%)2_aE8k_Sq#ejK@h{_)!HD`b2TkeYpL6n>LY{&FAeFDcG4
z0Q*MLd6Dr;=2GqLA-FI9Ln|3CzNkO0(+g|z@y3wx(4V1?FZ<x>!tY<nc$Ind{QVCw
z{S(OoGTypjFfrE!ujH<+s>30n7WJ)gv#@#t8NX4VofqnWsZtnN^kISKYyaND?vKw5
zknwcM*s}FIcykcf0VB90!bYwh7T`4hO~&g^n^w{q;SG*LN>|`<F9E4wxOnknpeKA*
zE-g6}j<}Wk(H|ZRGf?q{&up2$76kK+H|P1nB5ZF;AHprQyFK0Ehw<ayG4Qh8!!b{|
zlCz>c1@`j!QtArl^7qB2!Rb*Q_es63wU=ZO{6&Dx&;@p2PWt--?g<I0C-px&>@}<4
z@$((g_VB|E54P99;h(FmN&R$%#MAe%;(--eJGeST^Hvx9OVcrp)JNavelq}Dwq!eB
zg@1fG95xKks&Eh5z+9(jhsI&<HQhoBcwUq%dlLShspv)OE7jj9ufh)puIQV=WpDcE
z*5NjW&*h|E*P-CTW?IZQr22FpgA-dmsc(lBx9+r6Aj>CFEYra}FLjy3VAfrK0-50F
zsSl1Fgnyrt|49LN{%-in34dne@h0ubIbL^XhqL??50Uk8t)=s9g>P0fH&7wxUDGS2
zfnVv0x{~di*qkgfZ-?j0dh2_Ve^ENyI0tjZjQNsWu{?*N8x}n!l1<vLiyOPy3#;v6
zUtoY+@2|5r!6xOo{$%?vZ<6tS2OIB-?c#*9gcZ)z!=b!}N!)P3`pwElc;c7FlmMJ!
z{9kA_Y~f8;d;s3*_w-K<%+jz-c?d4#%x@}(JNrtT55v*1U&Slo!O-lT3UIsi0M$!)
z<bcIz{9|gz&hFCcBK5AFN*;P}o|Sx75qyI2ui9z&!$`r+QdmOk(`O6#@ROJm&)^=x
zhq>19>de+%q&?OZd-ea|OENQ)1+c&Ce#YByy^2)@X^(esQ{DrZiSAhN6ZrD#E2j`R
z$<}>=)c>cIR}&4JU)Ot+4NuRS1jfPqQ_V4?zNlTEKNqgGj=h=*&u*Wcc>*u`cE2a}
zX=y|9FW?pF<n&aS*)DWbDSS8Q6J0tiVCQM@8lHNXJeUACR10y|!EY~pQcH$aB{;9W
zgM&Te*kWKt+P4yI@JIvGcT)fSV0POOtZUU&_7GOg(2MyD*Nko2L+ULIl)g>CUR9;P
zLt$3^iTr7}@VcWA$+fCVVm8sCzfaAvPICSKOfFNyh5@tN9>dYW@iv!WPhoS#LfE)z
zJncOExu|rKTn~OO^Cs!=*-oWhEpU&JWK1gTX!yx+7^X1g-#iLW*&Y%32rJ$B+4c>N
zyHQ|G^35$irR(sz$|hNo4`gb3Q*OoeYvA+f6YMD|&`twyHtBNggq<J$h}jCO*PrSq
z*K<Zx)3@y~&*tPOZE)G`-~u+d^z|;*_wcQsSJ${ny{y?7xxOD?I@quW7S|ZmA=|sC
zM9p##wq4@kX@FHE-}DQ^IYtTh-oV_!8T+N+5S33CUc+}cnf{W2+13qeYvErV3dfY-
z6!wtF3fQiFiCPtQIIv}nT;I0zy=S%HXb<^Tay_nuhj8n{Prno&E`x)VZEerNH?Du%
z{2Uh2-XnDpZss?-Q4F85r@U(hbB*6SmJk1>DAuxsOBeq=Cg-CxIx^lCPW-{|M$VT*
zzKXd$?4Y0YB^R!F!T0Pxc<@ej5xL&H_21vR4bR9P=FEa^TA#h~g@=>$e~{}<eAY0`
zAKsJy=FB7b+2GNk5IExa2!A~6?mw0l4pTol9hwM7kG+|XgBRSdT#kY*S?wwl;TWlb
zx8(X_`>sou2`?R;iVK6kCjRcsh8wkvH$=h`U%Gjp!f}CDIv>ERoUW74;lP<sM?y$_
z*9DmhxXEl}YXF=bwM0<`f9BA4xetrJ?$>FATTJ!XZo{Lc+eY5OwJ)mgc)+ji7lgau
z5{+lPH{kc0T-AN>Z5hr$2bd~+BmEcHbbe;-5<H@vYc&Z+))`nD!yHE<i+{nQBC3_U
zVW#z#*L3vwy-oi)%>n20d~&3MpBd*aZiNjdQ>kd+AE}lhv~YxI-U|vi(?h|83U*+p
z_9XQY_tzIG;0;OJ#8%P%e@q|WEZbuI^zq8lUzl+`(c}+&JoZNJ0(^koRcsa(*jwkg
z1P@qmy*vdc+-&I?hYtrfP!7T>mKN4O;4AC4;vZqbe5-c@aN!TF4e#L<#=OX3cxj10
zz75vhovYRhKZx9H^9Ii8n4teemcR0CLj!EeF<$*1K3>q!SqZCh@3}{gXQ@_>O$BU~
zy<4sYo<15VUkrDz8f<7M&UEa023yu>7nAcd-G1n1I_!HhUzOBPRq!!9f`1riEY`s_
z^HjreaB_8P6{*+AUAh?qdw#36C+EA=ymaS%n5&4IvL04QDt_t@kFTygC)bBtsDu80
z@Z>Qul^Xb;mdm6IocDx#p%fPQPc+CHX1J>AN7~CRliO<vH~kTlehCll{?%|64nC;%
zhO}oky3zPFtUV}ls|bF!CgUguYYFW(CGGdRT%r|$Q=d_=l)*P8leL-Pq3nDKvV9#{
zt=|~n%N#*pNqZ}6b@FZ3aXqvyOp@a_O3%>!4wlGkN+ieQ=)kk@*{~|3r7t=DwvXt%
zGvT$@5{Ey)>>2kTdc%z@H#kP%^4-6M?!YhNq*}@OliReKd=-A8waiEIFO_!E)^K6}
zt8S7nF*3WIgeB#Mf0OIot2To91pKcgDU+-(tmn>M3Ai|dVU6TR-qP+CgUfa`<&%8k
zY@i7XoOI6f-8VQ<dC$@|IJ)(a#~}Ro?)=qN8_Ykn>vxiTvM_qXGQ6m>(U0WqMQ_t5
z;oyKmmQi?zxug7dIP!pT18JX!mX7{2Jgt=<MC$u|$})%G8R3fx-S8ofN%ao6%5$oP
z)T``F9d3nh`$l<^<Ks5n>QxQvYwn=`2#?x6*i{LCaH^~#*W(V)m*oX;&U0aH(q5nM
zZG$K9()#;#a{T!^(&v-lmSXW>(w@>q```q4W^boLGhDiFqwzy{+HY-BD=c-Zdodj5
zmP{-m=X=-7peych-2H!BNj`nz3Z)zDp_EWX@=J$Voh;zLH2o|jzw03W$qG(SRW>8r
z^D?kuS{deTzNSWw&#G{bff_u2q&IR3zGu`tF9myE@8F$-f5-M-l7$zpDcCQ=JR_Py
z5^z|hl=K?>#_oKiB<wGe>9-O0o6naHOY*}PP6V^i!f`$d34-t+wZEp!u&-dY4KI9v
z{)ZqdY@Js4fe+U7Fml}uzxQNG=Y-9gPAc%gBbpqv+%VOXiXcI_(b(-18~o2b%itiq
z>glb-4)cFtOFIOcP)UBFgA>1h6_tfOE2K3TVC&{{o=Wf^p$EIR!2OJJYO1h=Oo$f^
zENqb<sRi#C89228zAX}bQ5UvW7%tfe>n>2_oP!PNL}=@;;r?EEJj)(d`LfHQ5mtIz
zKmQ*rwbPra6h7~F)W;Lf^}qUGIeeA#Rfj+Pa%<hrC$Ma(pm7k%nIGRNfam%jKY0j$
z+Ssm}4G)iAbc%rsjEY|7z`Nc0Yf@lA|8D;@`1R%o_tM}V@v<Ko@O{Ruy}58qSWjgV
zJi=3!ln---mhDZ2B@^YQU%)(jKg`F%auVO3m%?r?#g`J`-8|NmHSo)0Zx23%-^($+
zt%E;*&54MH<rBhpw7_S^O3gyyWI5@<HduQwt|=UjrY}F(3(sxOhzo=ti5vaugP$AU
zr3i+FT}O_6fqh%<clg2m+}>Nh!E{%zO5cO$dpDl_0aMXm+u{wM*p$vW3u~{Pu=9m~
ziVD~)!B#!03hwZ?&$Z&Ku>DTHOiy^vo#S3q3>a@8U{te*o6g>(r-93;Ci5KOVz0GJ
zOz`6%{|X&=)v{Ec8(wQVvqul^yQcC$0QOLMCN2ys%H-J`hV#EV$BM!mcOEG}3ZFPz
z)5{Edr%rXAfE#zXE3m>eN_Y0?!4G}54Q+<MN~;#0g=_oXsM5epmVJMXVVWqNuPaya
zJe7?Iw1E43Hfa8ZZGH>(U5E7;U$Za5x@_JlH{eiRC+{WrmCDW;S9pO*NN*0NowhA@
zgJUv=N`Axi4>nQx!efaM0n>0}$@wNf_@}q(%nWSaG|LtO@90Pk9)VY*LNX%ZI8EL8
zFR+57;O_+3UHhv<BOEDybZa)8P;;!M4&Hw-r7{_Ih#yUO1*={B<ogIN{-}Dm9JY#(
zI~)h+^xp5vgS}SMYe@ZC!Y|t#`0#m3r)YR(^us_T%&F$xK=Lz_YB$5-t4}`NB>Ar~
zj&HZ&zgwi6NS^T|RnrsBo*7{y+rySLb>9@0)D#hW4tIE2&zi%gzxqAP;WibTbw$|E
zbI$NBeC+-$3uSl@MMho+d^YCtrS>Zr->Rn4{Dqshb1t;NLVE|w=i%-2hs{gis(GfZ
zB-d?SSu2JEhczlmzU)q8lLE)@He?_<l~>=!BshpAteWIBmn6EP;N!tEet+N-f?Mn&
zVcyznQa|C7!lhgN;6twqYDhi3_rok7n45jbaT=C>qpao(&jc~8&%vIL_=g?fMLLDT
z37GG?N5M6?@Z@`EQXjp|>ckZ|n|f{ESNPTaN;XqCCnj)e3^rWKeP#^DJuFHbf@yiE
zywAboPDjl?!>#8R*w4Uig%&J*@Mck+Np09-c;aI}JT0zvR}<E{$QalOm%U6jP=!T4
zh3fXemA>&mlwg*JMHFo?Ps#i%Iau97w2>U|V>%0GWndwE=S$9q_r{!s{qPBD`3<C=
zb<eX<0oaNEQc(k(>s|7f3BI<FNJa7;Uz%bVVIJ<%Vv@h5aF(Kk7XsWA-@*Cg!5!<?
z=->86%+|tQCl243g_DX^Z<F;6zc@=X1JmxmDD)cseSS527`}RY^(ASqRco*EAgsj7
zaHSHC+_wGc8<=|da|y}MA3uJw0ZzI*`~O_9QK+;KPOnHUCHa`*HT`^elWpErvb>Ua
zeZqA(C1Ca(IX-<>c9b_@p30wD<oMgK)7-cK|LW&jB<Cke=L*d^IP3yvHp%N0-esSF
zR~`w7lk*wLDz2;!tE%n!Le9r_DKjQTxXF(9|MkCnTJq#!6Fv6xWPPJoL{5sp425+6
zufGzO`t=}uxr8#3oWI0Z2laQrdEu>}NqcqzkEdB+p{(i%k}u5Y?*C(j?{R!p{=dCV
z7y9bvVcS5l|L>1!bYOc2JS(gyO16)titkz*Y{9@kLfT_`;?Y|QTaR0bkX(|D*YPE+
z+NCi}a_V~f;Z!(&m$fj-3mv)KlHmnr^&ygfeWSB83>IyUw<g!8-e0PsU^r;v=1y{b
z4s~$&_`|Nv?1Q9Uv!k2yE^M-YA((8xt-;KcJDhXzp*}etA2{><-C*|R>;J!=f^{3u
zIKho>Ti%lE^M<eP13UO_Xz_k>eMIfKe$g7XI-xN`t|#hXsRavowQ6??xxaMw8`K-Y
zlyCFR$@zYwH@|!yHV)QrcmhvtWo^<UZXLK^2<x0piaQB^s@F`6hTqB6Ur~V__q1Oo
z_sd;k*0S<2<xfc`FSzIEL+Zn@;<abe<bJL*BFeZQ&K^$6y8yopyE4QJe^g_#H-xnX
z)V{I8cW1^&C15AF`^5}!qoV#}^8C6(m0hs`p5<WS+zKl%F9xn!;`%@DJi-8<bUG99
z6V|)JeVROv<LRE6euo9ZTz7tl({2g14Z%P2&-ORMZ~ufP^}+$4vQnDhP)6&_cd&lc
zewI{tuUM~hJ?x!t-%I)@VcO3>m&4%!qVeAFl)=GgMR0kBo$+0`+~SAN6Sy<o$=(J&
z^6<KTCagA`Cus*;YiaCFhHZ+o)z84pnQgzL;lm7lwC73v#>R$F*uCr>ry|VcuNQR>
zej>g&Li&4c9l2uua5YtYIOz`-Y>=k71DCf{pOJ@$r52>z;C2nF64IYE>At(!3BG=k
z@3shBQhe&D9UQc5IzalTgVm#3t>G?l_f*n9?ef%pYypqD?9$r_v&xOS8o^ZmL|8ds
z=2`=mOE9f(a|7xBItqXPVgUa$?7vU?zfPV;o_g>qkBb~V{3q_0_DQ&1(|er}UMjji
zaU8DK-Bq{+{;m*xPZs8VwpW_edknGdm4=u5%f?CnyJAaw1TXAc`Q#AEeI_o7aKi$N
zN57I>uWw5d4a}oXFGh0RzezG%;MAb_5t0uj9Hgdz-)!~CAnW^ZuQC0v1^!+s5`VXf
z{(e#KX{SZ_n#JtS4annz=NabV?FZeO$oQZ;$aiQO{-<?5`2XXB=r-2x@UtT888W`u
zNM-tM1inds?D-75<=j^9A=op&!E6l9a7sDV3m-Ti$3Fpwgy~Lq!KY<*_mc5uq|s<a
zD?EK@I-ZPQj8tOJy@O>=+iCX0?XQId>f!QK8O9;l`Nmjn4J=AoR!zn~=aX(nl*4Js
zp1x%K*1KI!q!gA{{ClVami*oR_bHqrT=j>H&+Z?Jj4Obx7>+z9<1>@m{a3T$GVMP$
zWPBCyZf;{H{M62ovjHBWz2B7tFR$+(c>{M3oUu=U`7Wo2Rl`LsKNKIr#!6>T*TOE=
z)&1dc^_SL-<?!&9^Lc^r>~{CJuV8B%k>mH^2a9w66~kt)-t6#(OKv5|m%xSJ)1G_6
z!3m5%3gDxY@;<Kcvm3=vpTXM0oLnyOoA>;tIq=Q!k{`D4_r=D&Phch8#QQd|a-4K`
zI!yOm`ho>)#Ml{|1&7J-E||jWb4nV?@L$c!`in4o*~hJqVA+Jc%jaRL0kz6l_>{>B
zF+G@PzSk=OKA0eOMGLNFDfk=+r?zxRtHDd=a+$$o`LgCtWw`8e`WZjiG{GkQ2)syn
zaMwLJ{nRx@S(sWeqUjFoKT5|a0qcmf2K&H@Q`?UV!^VEYKOEqYsj?mX@S8%zXU_1y
zqxH}E;HJiE)9dh#pI3c2VP$2ReK%k(+FM-ga9Uhkw-x-?hI@t?K4?WBcNJz=)Zk};
zXJ_6mpNIcr_`R?h&igG}c?rJTNFT8gX5JTLYXFz1mzw@H$M-dE6yj%L%{RS&SKyb^
zmp*I57nXclf5WMfuQN`;&Pv%==imV~_A@77V?G1fNqF$6+fGe*P13!49KJ91;jJ><
z{6;Wy1kSo89Ha(MJUXj11lK<Cl|Kq6f1_gRh4H_2{8NNw?n&i$!C~bhPo?30_pk1)
z@K~molN>xf&avwq{PRL5p9Jjkg7@AFm`nSqEy=H$neQ!vw{H8lo8*In*%G0!A^V;g
z(msF7x#)1%p!4HVvi*-*y;Mx#!PB23$?^HD&y#HmyKYYzHHY7n$*3E^SHoMblH)tu
z(Uo%s{?z}VjGRA>LDQYbV1?VI8{A;4ra!lp;iFgG^vU_Y-4yU6$_&rHhc{x#e1}x@
zp}<Jk?rh|7@_VV7*ciBGivG*Qp`(j%QZ)CEb(l^_Ab1^~ja1OQ32VHwU6R24t9<d?
zcPF_0rRC!Tut~)!e@l4ve3p<H?404iXAVo*CJYF`g6cCe9I)cWHG36!asFAtZrEIo
zxkeLab-PGS4NIp?Z$1srudvzB!b*EKoil`aMl*ZoFJr#^Zf&9kJbTzk?hpJdcX0YT
zEa2Ud^%>5k^^|ad-(`B!e1-3HCir;3bf-VLw85{$xZnE0byvh$THso)byt%Ap1yPE
zCEPw{R7vtZ>Yq7_VW)30wj_^D-FH73#vds>C;3T*aQ;L%R6xs&<SSPh>x1EF_ZQ!M
zV8aj}(+BWk@%<<_c${W^-5vJz{Ib&vUM&7E(G6Z5E_&+<yL!#ZUWXaD)-*|bGS8iQ
zufmTXH?KOw?X45emtgrz8}5+yj`=$=Uw}6-wuv~xV#i-h3d0UgJ4?y>#W^^%#b9GS
z1L_BGS94_m3tZ@{#1IWv%$V(Cf?ud^s0xPfd*|0~fS+f4J{Acp30=HQ0aJ&j%m%_k
zjA?)8OfX+;Zs!yRTPdAQ_zCZH-OqOqo^?r(`3!eek7tthv_;PK48db-DQC#>3LTSH
zZh|jKrNoiEW%TcGBb;&9K!fB(E?t_>;6s9<!6g4wk}**L*9Q#Clbq{CpMNTR>Vr`=
z*&bfcXM2-j%S&`O$o>ldP7!v4^;$O^CfjG}5%A6x{!cphYXEHTDJyLTo1We#Nb;B3
z2fIyRs*a*wlCv8dGOEDiXEqH)z?ou~@{hs4n$sVU^||IQ=rh2l5>h`T!8<Bw=IG$G
z8Y!PBc;Tt1;i56-i&fX^N&azj(#mgG(LKbO<iCD}#e5_AC4<Fyc%c2|;Zc~Q@=GRJ
zpTD!%#sQf3d6gBZ@5Yx+_3+V&{mRO4aZ?jTCA{n0pABkore;+C3%EQofJq4cd{-p5
z04~|1^MUlgc$2sLWy6P*x<^>yvMt31sj%_f!$+jQg@5$=R}wrhy<Kk`{MyozFB5)z
z`fM0Id`~L2I27L6U0Xq(xBc`6zW3nLC|7s#yry4SU-N{y3opoJz;)HN?_A*%w>Gbm
z=bzUZ-fVl=d%=>1yq~(MIpuN{=J`z590s3WvD$78r)PQIBG0Qc8RDZRaL_2X+ymH%
z<GHsHyniZeg51CCZh4$K3me`N&Lz*gN2MEn8o(TNi5EQJ#^$z4EjTevlHCj5{o%af
zN!UXqt;rQOj@@@q1=ch<97yhuJ=Vod$Kcb#k7OO;Sbc443HW7vc{!=qdpx>H4Bi&W
zca1#n`dbRS1mT?aoCBo(>EuZ#e)teA(<gF2wytAS=7zarBjU;PQa`6;gcBavzNBFR
zAD3X)-U2hsm_HzStYQ7sM%c)sL5}1)`DgDh8e#rpI=zClH(*39I1f{2ZLl$gExftS
zdtn{su<QR{UUG=C8(wUj;2_IqeK_dt3a^D;91egF%5KA-yI?-(YGw#|{#Qp)Q1ZjB
zA0M|T!6K5IQu*NdE#sb1u<QEyPn%&qoo>%m_+sj{TN~kXw-`i7|71@7kk5!A_K!8~
zM<zUwdYX3#=GohwNZR9?{?nKTTl`7xC+`alLq)7|;ENSafsf&w+H@8J*d&=Tpa~u|
z{`>qC-1JCDioCD6?0E71K3HR4K+$_xDXdYD5AIz^G$ZwPy`LlL;j91cctrB=a_0}x
z!S#lMr$|nD`UT}inDa*xV+$O0N9++Lthv3Qst(?z6LMqa66OaMxI7!-S|tX?CHSw2
zurPVwRNioXa2DPa88`hJzUe*ZJ_C;_W+jxuU&~Kvj>GEp^p`5&*Y7L?zrb|sd&+WQ
z+goqX_rv<H?*5k#j|ff0^uYJUqIweH4?22Q?Qo^wTvQ5No#CC?3|sWB{U*PUWw|M*
zIyjuhpeP(xI<&v23NHI~fyo<gIU4O<0*@HycKE`2A3wi-4oCVt5pjZr&gqBd!Bv8P
zez?Hhk$G)dFm=GZrX{>3fIBG#ma~?ny8^e)y_Zjdy*5jgo50EO>U7btfXvNXX7D<7
z$;oh->YPol9xTo;x+@T_tj&x*4cG4fQ5pcBRZdpZf>YKk1H9mXf1Mk3Vam6H0-o^R
z+U6p4IOtT`!cDlXW7Saut{A-<<qX^O%<?M1%e-IBZQ)3%-Jez9U+zz-Y+&g-+ro~(
z6ZQu`n8O2NGP(-z<H$7!Q#jz&{`JG~wxKx&133NQb$3#KE}*&K6ihdI@!%o2eNfdy
z1NKjKnI!dHI(v2>hu7oH;)G!v;~nKP@EhI-Y^46znbiwYF!c$S#sly}E3*b3*k&k_
zisaYR^(?ty(OquON#1)}e#16+;-Z_F7%aQ<P#Qgazs6`-0M>FyW9_<#@6l}=dq{ut
zlH{`&@8M48R6nvkww3=LWWl-d;p=K}^9Ej_47lCiBA?X1VD5h#1xG1P9U#Z2Vu<Q$
zB;2M{(MS55J##Ew9&oeDI4j9Lsg66}hG#Ao)svjgELGVV7PGPNCGA-r`S`^Fe%v4;
zLDnyGO5)iy_=Z6LEa~qao3qoq0v~HgPZ5QUUNv!>!V&*z8k7F)wtaN3jp3>b%=Bdc
zk8!^?JO#_NoDL-QF$^?+wc(h)ow8*AMJ+1g6yd1XCtnJ|2S3rt9fhS==q&fb)Fl?w
zQt%_EWIj@#HDC7l5S%q@^nnYW2w-s)g3~Id!gyhUU|Y5W@HY1x#a(bu&zo<1;LKQw
zbq+W`o!_4a_D-C6!UDIad!OD#a#|;w9k9I2xA`6Lf}Sut1Kc%ptd0?W&XoUg8{B;|
z$DAH^PP7c5h9^okNo<Cj^GDR^;9LEUAE;m|_n7$&FvGw0)U^w^pAOL%ZG!htDk-hN
znX|Q~fARf{N_`6BZ&)%@l7|BM_{|+pXJPY|@wPw6gSNPMPQc+5XM$JYm)^5n<M7eA
z&GNtCskgd6hT*Mqb}RF66m3WFAbhNqD`y%up%ydjfuG*=vHl7BGrd^rgsq~*c8tT5
z4Xp24;M?J$T@!Ffbc#(gTrq#d_cI(uNhwzcyDCL1eT8%4LO;ERRlgsb?T2+L<{p>9
znf}oQLvTO4pGFBx>7Z!T10VQ3&h`|hHx1+HgZbILO7r3M5b5R)m@jA4KMOAE@V(aw
zYlm>ZeFUFlX!}+R(?$A6$HT7zw`VlK5_$)uV_~QG68%azXKTc!aM=IK^0wEoNQ7Kg
z2;5&0UtI#5Z%lU%fFJeudX&R1S^r-6z=9S#`g36S5SzQV;k+vCxF_(xT<(3h;4i-?
zk7vN`8bQAu;N7XaH)q3TyC@FZ!p_qM=FzaFh&`1R?AqzY8wb~Y7R@k+lO}g{gu%-B
zsg8!Q37>LEBs?Zy$#M~v@a&U+04wD7eAb6wQ2$*ChWAaU_?&`|W=G`s!58*1>uJCq
zzR#@h!CoRGbLw!prP>ZJIGW4gwIW;<Y0~8bFVE~VJqj0>&H1<yN5zRs!Je{Plsw>Y
zVTX=GuyA_JPiNTU!M9`~__g!nd{<a&vPSU$EV@V9@CJO~pA-Wh?60Q6?g$I)+gZp1
zmr8ZKy$bJT;6FWc9^Y$Gl&!eK<^|$Kv#@dDAuY1~i8{-=Uts15hPQ!m{C|{%U*WSn
z4|b8`;o@Q9F$gc)JNHJxXJ)MihT-~MbArjRr#aiL_i*^0iVX6-8uew4kDYL}f$U-)
z94J}k+yEyF{c(5(=a*M?zJZ0uZq}8-Nf&6-Uc>tSdfu<#5J6hXI{3!3_aExvn)axq
zVtD5TPn~91S}<bmB^<kzBJ~68BKD!V5N6;0!KfR~d*8bMIm|D6x^NH<Wu{rmg=t^&
z*^a;gYgFg*;f%9cRo~&sQ;%w5;D2cwmS*9ZjnO>u@cWMe8q09nkfp#)ct?ul`eyw8
zy~aJ?I>Ew!a-NXy>rxZxD9^zbk!R9r$o(TvJnb~hFx8+(2|Eov{v-`&6dgLT6|Vf%
zfBP`}k2YnI3O-=-M?(bmwGk^O?SE7kojM4QY>qc0?SD(Q4A>3Vb`}nj`Wuv)f*kPm
z#2rDa$k{$uFS5YR)Cn4-o|0~3EEDX_O0l#6=ZecpQo*}cRvk(G^)Gk3Dd7E*#=O5_
z*ZnE!%jd|ychWsX>LVWgRQ&@79*_$D0js6bvdqFB^N&xG<5N6rQv3t1dbwqp+@IK@
zZ~KhF*FU(toP>K5yZOGt%^yEle1YX0w!ZF$sX5bzN&UNZThmVXlkQsZFpU5FR<wmI
z?`ot;>Yq9M>}Z0`f4*2I_oLg#=~8Opmsgle24Js%(a)7|^O0(n7C5$R!_$}Wp;^}V
zZE$(DvtBWLUh~?WMmVYdA$LA}SMQa46TEVht|k}$ILk0a?nloK35BM^Ehh{g*TL%f
z*<z1i1EKu06>ukS(|R1t*t5V=1t*zlq{hIle^qN=z?(yD?7~R>^1VBy@P?RK#t>M`
zvPbwStbLnh$RAF4&N}rRb~%}J=Pul7W*V0ZXO6wr_JDs<CZ5fQ|G4Y^bc3xIzirHf
zncq8AI>D#MIcmxMEip2Y;s%^ml*bhVi<{K9S;H;E{r%+rX7<3?-V)9);SCIjXBYw$
zjN!+JwU0l9WjFATT!K6G!WYQ>t@@~L!D%>)xAb`kyl3f`u0G7;vvS!Vemup=r3t@H
z=j6H%bJ;djpMb+o7`2f5Tkg);U?rIKmD_z^Sj;p@R1ucUER((sH`c%XD-B0p`!G-L
zZ&#;8ln%ibJX(6Ta9pDiqY%u-Yr<d;7i8>swjXZ$5%<a({w=M3XAf+C?D4H@aK!z(
z+THNY%3VDdV2_83VLM<e%{`HZ@cNbtiS2OX>UpKpF!j3`3VJxP-*EjbY;xRJl^SN{
zX}qWo@AN5Wri9NNsb|xGzXk>tub;)=Gqo=^9E0C^)cX8^<K$<3RA6uIn7s?|URGZ5
zBXHDG`>+3Tbl>q<y?q?OjZlP8W>zXPQyIz3%udS6$cm^CGBP5`9+8n*$*7bP8Wes;
zWh6qBN~E$^ww}-R{P});Kj)nLKKB{dxz2UYJr1jNZJSVncS%IZ{)V@^UeJ|*SB+{n
z48ji`?CJKx?dAD*zrvdZ5}pdf0|^7(y>Ps{zn3U{ZK9;A6Bc^Y*2V=psEuB2fklr#
ziP;WIAL<c#3%gABAKVHXYjG~r!KdH7_{$DY(r(Il4exq1c!vo#f2(`?8NB0j^(hv(
z?x^afO86Ab59Up9Kx<gfL)bk0SqlSP$`j=O0Op_m96${}H+rpo7v`ufm7|3RLtn?_
z!$qOf*XJ?bIlV(q<T|{c;ws|`yv5t}Z6cg`=+287Shgc0Jqk{vbnzp3H-$olNaD*^
zc8|jjHqt$Q@Fwnmxg`J9K+E43mTl%V`~&-RwQh5PqdtZ;O~OjLe=42e`LYb35jb)G
zc~di3<iP9%8GoHGb^Wg?+@(yHJp{iG+;&|H9+EL;C-W0qSC!F#zn?qx9~sYW9<Y`x
z30pnbyG+J&=N;aESR6K6S1Ka)9<BQWyzuZt8$q(X^Qpf>dEmoRuI*%e_~@!FFC$!Z
z++T+*ucPD6D|+}G_2s|)@S`lwldH$EKjws<C-eKc;JCg7j|4>Ueu5K{b6RHLhPL%j
zB!9Ym^4t_$Gf8=^6V@=bXBdRnZjVrqyzA=o2VY^o*^$!s@Eyvzz+SlLn5i4dJ9-@D
z>xQ|0nQ)Qu?e3B>V{LFk=JSuOaIM35d<&d&p)$MyPU{o4Zh$5HxK*3su<rPObui<N
zZ4<9xaoV@7FW{$R7fR~jyUj8l&tONRv*yp??&N!$@4=dzcsocwsh{s*5qv$9Eu<0_
z^tA}ehu^F@9wPa`n|gIwuq2IPS}|N)8kLv|AH9=tjEwK^))1$PfZNR^wt2yyX8ZQX
z!kbKgo1ceM1m&oMVYgv_cP04jRC<Rmyx*}>ggoEivU8ueH|!9Q-z^8TMA2U|hIMae
zglobhm!I$%!ruylq{;M?O{ZU|z-?&_#fRZKqi39l;S04tR&?QTn$!t)*mB6t(F$H!
zIhM2)W|7rqJqCMKORlb)qCFR3rbX(NOA9%xu)&n%oC*9>GUCt#9Qa_DyE&{leSBaP
zX4hWkGKLpoz6E@N?fkzb9fz&Ds(AZhn!}G(4B$6CYoncT;`f{tBiQR_Uwj8_I(e>G
z8<x2(VEq;r{C>iTd|p03DvD;9_P{PS@_iI0blP6S?0y^DHDJ3aDbE^`-}3R2BK+t3
z3&uw<M?w6Y8q7&u^5_A4*xmfrLHJJXeuG@t+?SGD1^(o+XDSPR<lfvQ3+uB_TSmeY
zO~NbWc@sP8>9s3xaL=D2QqQ>Tndu9k%5oDR%X>EGr{oRq?H6k!&##>P^!Jk!@wO~Y
zvb<{_Xo4JI?Qo0Pz3?O6%Us7{hkeh^kok>erM)zP-?d-hl!Vn!|4tHykMhd~ljX;`
z)J^PxV`#$OYr*Nyv@N#6yC-C*$@){c%w53_+j(9&ZU*aHMhH;CS2TI9*}}Vj9Sx#}
z>zv&CPQwR}+!`4_hW`6qKR0{8QrRvVQ*hwmL0j_t3$=NbZVMbvcXs1dxNh33u#Gsb
z!IC`h@<J($<r)0n^~u;9u*Fb&c?B%ga$SMc4Gw<f%ZJ|{%ycL9h}{x(Iq*n~0yn9*
zUl9?Hf`{#R^+~<3D!TnD+}iSNDGs*(9+@2iUldv^PlPY`PpAgLzq-=wufgUuV@$qq
zXHYjUc^>Cku=(Q)aI^RMcVX}&9<xw)c<Frc)d<-5R+G>f_~L!l13_?z?tibWVE>1O
zB_tnjrs!Y+SMVsB2f*$23eqO<H6d3vlIM`E>@tEaKCZm>hN)gW_E3ZKrgh{<zI?0P
zRux#Ovv<f7J{^BxP!4`FvY1QqdZpD7GVpJvNCS7+SpM-OKkN|L7EJ2>Ihxmb;qsT}
z;-p?;eNc)S7L@b8Mdp{U+x1~He4=Q@$dyd*)o^az1pl9rM%#D}t{6Vex(a8@$6RoR
z?R-y^j>8wTB7VEU`#mU3M&abMbZHJSm(AA~A7PKSZ%w3Lm~-8>6YhOx<3sAo29Xji
zaA3-jy<~n9$5cDsz}XEAU#wwW0pYVR;2V+g$4LJ4gOM%I;KpBcl;n6J_pWcC4Bq~J
z_yx&(@a2U)gjp_HyOQI<yT8|si{R=<vOCG~LqbY4{Wg4mSTKa_|L$Re&RH<s$@zn1
z|372W@E{HL?d(q>`%{v@>%c@f@@laW+5Z@?dDh3kfvPbjV(^ZR^GR1=gT2R`B;mDo
z$xk70kNDo#yzqvUy@h`8S&Nwf0g@M8o45d9Pk;N78Rm1Ps&<DLDI*hEVUMRRMNaTf
zgZlI(JResf)$3~mhYk20TZN_m)z?_S%NAOtqp;W9hgcKXNBFPH1gy>8;-?3%8tm}=
z2={1x*V2IB9eyX)3ojdv#jC*oEyrDLf|HgvSj)p<;?inw;crvoN2K9734<eLaAS`i
zhbYV!`J1{N=9#yBAq<yyYL?xD+irwJ3BZmaU))MzGy5kUJTN6ia$`0u5YnBymE?a3
zUCx7zB>t+i!Zq73Nv6Z&8@O2+;8n9tzcb-YGme(Da9rV2^=P<RBUa?!QC#ovE3K2~
zJ0FEtwyeUZ4<+5Z0vjiN&76m|Xtz2?!o8`?Dzk9+X=k<&*v>|taST2ZG1Ph)ju1Ip
z_8T4&mkIQTm+##O8H7i(N@Xs=&kwy9`UWROuMJ*+`2&`xdtnI!uWVn~w_W~5H~cH~
zmF_uMD7Clk8BC{j<^Y*rzH)--OPJS1Fp@0qs{O;oa(H6j6*cmCSB;%aD`CpULn-9@
zsBg@iDuUB%7B?ot#{%{B@4?)?WmaT;lro*-z5{=v+00JXXGtTg?_KyrVuMQoY@4zJ
zFIvX&;}EY<5v-BanVS#O$o2R<g7q^7&St{-w&Huq^Q>(B@o%zVzLuY1FJL#`)U;H1
zx7R@>@;vLty?+f!zWiG0U>kgJY;OB?IJNd)7I~hPp}N42<cr*%Pkw@fp5$u9!xMs=
zO33r9d)^q`N`$GE{#zY_dzLgjqTmM}TPn%(tdivg!X$rj=<3Nu_`1#Y`K$1JNe4T5
z9`q2k#!-?lp^kH<#{SScBF-NMhiQKlqJ_0OJ_lTZ)mV~znc(%w*E&J4?}zTa<oVTs
zqk<G9pLyG`TM(A~v(_3wypWu@6Lxmk_Wd%PBhYY72`<6kTatSJ_D$-f{nK>hsB;Kh
z+Y|hYv@b4g-G0Cie(PL&i?mmQc6TI@Jcq-jd2;-b5lgea0DGK&`OpSlysY=k2Y&zg
zA{9CRJ$#MF!(cz>r!UFzRO;mGK@WIX!;_h`&qQ_Pg6-jg=Rd+P!d0h7J~_fS`SZI&
z;NF+UJ}2NrynLISUtH|g-kZZrdX3rS{B@hp!d({@IxfI^9p0fu)vOPTG<|ct2{ZW5
z?UjSK3L0O(4c~W2i#-T$kz)IK57znJDJ%y6mt|mC23MF}2$z60rCA?5gY%!tj&Z=o
z0w(>n@aoTYZEm>1m`n04TpP#CHEE3g>^$Y@J~-<8)#@?WVA4bG1AN*e$$S8&@v^zs
z1FPz7S?h;4%*2_u!|hs}>8)_XuQM%Oa7|H;;yd_BMw)*M%ys()V;-zn(b4r8zV_mu
z%Psg)#696**wA5wIt6B4FueH(9>^_!o(}V`Z%|u-XMXcvOM<rsbuO>Lmd_@YZ@_K5
zQF-M0PWaNX%?U7v)Co&+edofF%tz`5TZT=@_2h@7(b0HV^G(@iay`16>%e*{d}OCG
z4Y~eh(hGk_>eE-~U+KV;>@&N`@&X%vupEVb!W8GCV2;}l-W`L(lS_<Z;n${-eB^pN
zplAP|Ao#o|Yw{^L@=T6qD4bF}KI95>b8>(4gk=-l%}IYHkL2Y;-f*wMk$a>+(?avO
zhZ)R#L?D^;kMbQ@+Ik$`D5Ii6`bViJ#0Cvuz3+b(FTskpyRPcN6>J;tlKxRXu8pP|
zumtNvTQa|<l&6bo@aCAeo5}L-HU4f;fXn;c8$IC-#>ULD@cxQi0rGi8|3!Y5glp6l
z`yAj~{Hwb};ZFNA2gvtj)R&vx0qaOmP8^4$sh=tG!Rv{lI-0Q3gN02Tuv7XAO0xcb
z9IYwc3O`V8D^-CXR;~py!lvn#E{BPeZ!~O#-?RqSNyF_vpOPtIH%F>V2jE@z@5%i$
zLVv~VmObLIi{9jhML7I(@}MM4rPEkE534`UP1p^0Ea_{Ez`}_)s7QV|NbL6zd?+pN
zp%5I9c&_3LEFZhgmE_;`9kuF*M?Ueg^T9WYQ$@Pqy@K)W0`Sh~L9HEdz|)jVoUoW?
zUFKVOvk`?X4?M~9P^B6EyNBinD;!-Q*Y^xQ=-Pgq<ZJP7bd_*|PY2Z&_#~Bw{v%kO
zXYWgruiNc9{Qy=wx7U>(evmd5lMBCV_}0%1Usj*qn@#e%1J~$aHABh${_vSL6X9(z
z#b^HbK$3rA8NdtcZ;TN+3yYWcj_rW8IsL=W!~gLQs))f&!$rm}u)+K7OJw^mO^To;
z`LJQBTxB?|=Rv0v+$rp8t_D*-4;gZYE#$8pwS>P_WS5b8hF~?lHC%S{^iTlo;XOZJ
z2tRSN=Lmx@w>(xP{dLAwFH@3XDZwX~N&n_ZcIl}YxX^k{f%I>3ZTrZP2%qj>`Zfb6
zd%YUE20tl2oH-Ax&V5iJ`64>C@imw`rfTyQINBugF1i0?Z2a!@Rk%R#>JquX<vTom
zzzU}M{L`4+Piroo{A3O%$9-QT_rqT5{`<5A<{qRvNbcXgnjb#E24CF37JC4`<a3vD
zGkji^SCia7tagY!$pp`JN~DwVZcW>D_Rzt`u`)*w!y1MXS2n@RiCTAb;olM&yeo#d
z|8vTK-5CD#Ex>OLt{Ag*CF2J@=)^St!mKp5JFMV@HHN%Jct53=j{|ILUFkjzPo$oc
zbcX+S`R^e4h?bNtUs&uu@8ksBIFk_P4>Ok!-kF6<>!0qAhBK%_JjY<~z=vb8Fq<~}
zmwA|?Zb6=m59N(2C??Yv$jnSXf^TXa_E?6$#HlCs!JD7gDw6qSeo)c<0{ax)npuEf
z)7wmq!{Z6uucly%@8-o*u%R9UH_7X5cUfJ8pPdW-ISTikvwOM%%bh)^MwWMy$73TI
zU!3sfGvf$+@Q+h1Exd=J#pO3VPv^UpjCXd;laU#OxsJKEvcTNCb|wzN%!B>{+_28e
zQIT$Vw#O`)AKp;c9o`F@kGl?&@p(0`6Su#GzZ4%blYqUo{Vuk^Wtv7MGO+lki=Qjt
zZ#!qYl;8?J3%O_Tv6CA`v|!c2+4d56?85U5GM+ELs6+Gt+$#NH>=+z&>Q+J;Y@DIV
zLB{ii{q+Bn0XNUso+0D;#2!>tB*R{dqC%%(MxO+hR9LuP)Au~wk6}gjFkPKbI2rF1
z951JD2g^Df+e^m7DK;h#9fkWf?&pWV&OO~xM({U|NJBEdjzMz62_5(^qXZqvd(#@M
zXu`|FwB??#^`64(a&QHo<}Q-gjaiVFfz!|Md?4fLZNFd4=7){*`&WEn-h>Z_dEt%p
zrA4IP5hc{m1SgjL$3@2LZL5t4-3+Vfr!>03-Qr!G>jpS~J7vm|<>ikn)vUnd(x-=9
z;D`ao=sCE&{zn$chdFmj&A@>@rAHiKhZ=$AA8;<s&F3Wlqy5I&@35Di!)ZHMAmckt
zC(Jae-0KAIK45$AJ-leYA;KCSId<jZ8<?faO^M_=Drk9|V1bKLf6U-nH{+*O@R-=N
zCCT44>$9wYd3Ybw9fu`C1ZN9jCv^uuOW1zyae4t<?<}~>1a?vHcFckIhg|qV#&13k
zai`CM>wZf`>%(rbiQOqMhiTAZBe*<nVQ(57xn7$}mal1SlzJI17*4CPg*P%knhb}P
z#lEtT?|W>nFVctPr>(=z!o&OI2QR|L)ptMoz&@eJ16<*+I$T<T@LT1FU2bq^rb9+J
ze0{FQ-5O3GeX}VF&fK@H$rgTIzs))cPBrGRJqj0mI^RmhM;>N6^XwQrEmtj&3p=LR
z9Myy;SQ(P;zy%!-?rFm=3l>B7VP3sk7gb@}luKC;;j{0L^D4usnc_zZ;UER&r&93V
z0mo+~-$`>-i653&XY(TCH}_u-@!SnZ9in_rw)aX~rfNZ0OvRLqtd9#vDW*kWaYj`u
zvj4ErG~Xb3!_wb$|6kuyPv1(wl#3sXj-vjIUz2?g{Kao~u`2xGwW#i1Sm7AcG}(Xm
zt<6l5{LH?pY_flA^>hl!z?-A8hxftndmYb{JX7Sf@($QzkMeCfxa;i4tNie>s*Z_$
z@GaUs-<aTpklQ;HVAfy;k<D<`Bf72o;nw4HlCwCTDT%jhlX{!iZy$2}n^0CdNb0st
zgMmHpmvhVRq&^$<Uws$+t}?rde4ZJHt-SxiNjAsE6k(alImcSqLwi>;$)B&!VtEF;
z33oTB!J)|k78S6sNuiqx+{-LPOOD?qZpU)9;1`zb2KV6MULj2lSoBEY@-6sH9oshx
zc*lp`A2Q*}@h=f(aG=$P;AHsa7d=yNn44}Xn~bm1-oUu*2`j4>>5}nvPE>U%k?>O0
zpx{M#^yejo2$(4@rR^MC-#~XR7Cw-!&+ZOy<P3gB@{fZbohRorj&qdb@$ggb)0O0W
zm)N4`6AYV($$OCTFG>ylYGiw-S@Rbm<6lm0EgB)8ry*qbM^3oxt$g`e_|9#II5Pgl
zeEIV~7kKu1)lYi(++NR?Q!wBBWDX<TKEH#L><{O~RTo#$K6r5N`OtBA`mN`qfAHFg
zjA*j`(|zW!UVxL{N}K7!H7y$3mSH2sZEHth@m;@br{Ua8%^Qbc4p!NHBtMX{SMeas
zkliyd0ayHEJG2e<N<4OvEU&GZ={qYN#XKoA2dmlTK45@(mRI`!!k5DHmS|z?ACfXZ
z;knEMjsNsv2HA0PzuobeI_nC&aL7@s7yj|5Z(tVo%y(MvgU`q>h)%*TTnT1x;TYT;
z{Q#e1c9HuC^Xn^BcEOg5J<(ra+YT$^M))sn*)nNg2}TC~t%sxLlncrHc7&!SJcWyW
z=s3Q?&NVeMPhh$m$@M+(u&+MVefZ=_k3f>&b>*&MA?$lCtm_Rt_EL@~4?YoV8B6Xr
z)5vx+X2350jVC>UHOtQSCBb6THAgC7ht%Dz(eSN3M~t%J+nrY_lHoapz_d&_JoU&d
zsV`4bWnYFLXHUNhhja5<O|QT^t4_~&z!Q$uRir(t-YWFU6}IaM^w5AslTQ^`!G$J<
zfuucMFqP7456@cNs3+~`pH+LkEZ~fo^F9-}UOdNOR$vF8HLR*0g<~g9?K6hkO@4Tj
z>*XK64gcxDpZ_I`m%|NQn)({Bd8=0hx!%@ImElr?ovOAg-G!IT4m!)j-&+?_Q{hL)
zB=$?g3x97Kq{FPm%Aw+LgsIovNci7QS%Y2hoflhdqTw@FM^yRXL}gtE(q9{@G0eyT
zE4P2=CjGlojoYkPN#5td1qV2M1BVC$?4_Y1M*3GjDBP^0gxizfekS)bl!FQqmi2J|
z+t)OO^oQc_r%ZcbxtJ#pNPpl5*#yD&aOmwlPOY#ujYV@SoXQ)*(g0`J#H2RD_pePg
zlm0}_84Jb#;38cOpI5N6)cEaEnCf}RO;Vp^Xw<zAbKGp#CUqANqsKR3zH=jINxe69
zpG696cWys7spoL5S$e>m{i;e^;3kGC%5(7hbL*D>!PfnLvPa>7j48Qx*uU5Biy?gI
zru0xFJdyT6;~;E*ux1mf^9+0*m4#z0SDunOg@d{PH~dC4G@0~ojck?l-wuDZ)c#5O
zx0GKSu`!Y9PxzXCg(G(fG_b-;+v!#(VOuYeWCnQEn&-(3{CZ@|C?kB}+YegOpEY-q
zfo~i9Bf8Cq^miHDs_heiA90t=kp8LEfhI-~_-kX#A%55=|NTb=_%l`fr&F+%Y5A@F
zu=`SZq9Z&f*kCFTD;Y@3`@o6@`GV4LO6Q45(tkAkw>W_01GaBd4~2_QUe*?eW%%Tm
z$^C~A?WjCSc%bL6K@40yVs%y+UNhyOi6>@rXxsyPhIE^g`z7Zm_FmrsPhXs4&VXlC
zbaP03&PJNyF`W0F(T&ujR}AaO_P;?{h?mT->H9m^2DnSw$(St9WBdKbb+Cc-H7fG?
z^7VFFcES%iSX|X$vpXM0$^BI>WhZYPc(P#q=TCTWrnJxqj(ON7H3Tb$@IE;K-+nS7
zO8Rq(!rz6Ey3UB;;6GA7+jhem*4Sg#OZo>)zPUP(ysvUx0_h)EddDl_3I}^KNs#`I
zYPWPdvVCP&wflI(=a~7~eBeAkVcrP%`=6YzXJKzkm##=SzWn^CH_UkUOnV;8qd8nj
z>hiNCS8u})sC~|O!S?wSlI3tI!w*?E*s)S&m>l02OnrWzhZQMOW1HY}o&8T;V6M9#
z)XDMsp299>k}q@(O8WqRo4wla0QW^#8It3-rw(^K$!i)j{T+s<{k$zt!FrTB56JmJ
z-MQuo$?u__r6A|0Ywy`YPr|`cqE%$Pl7e*6K9W!J47J^W^Wh`bzv~uog+v8A9n5r9
z)tuyipFMSk8CJ-T+IbwdEJzV#g;yB)dq|$&akO~{tdeJU+l17`ctdx=xf%CXP2sWP
z=1wxcIL_%;vjKc|Y$19ttUC}KNb(E9M*GxYIl*#mJy?19(r<P6fsny6`91UBcP5hY
z)=^&q8p-xhwvR%`3=Whz{ejetM<~=i;K<w2Ii!AfTzr{4pFmwJev~Y)>G9?KaQJh9
z4zCtGsB_=^D(rsu@E%ex`%!$1j7LALVmhx0v+;G&llD;Yry@f#zuq@NHYM=by{Ft{
z`}7Pc*!F<boo!o5-fP>^%WC-AL&pqd_`M~+_iOk|`?DEUm__qVQ!~tM^1Ox|e{yKX
zgWtjTIGsF6{xPT8?$5A0i;a>Tyx`*SWdOcg`Q!%4HzhGjkH8hb3+?y83f2<8e#6u6
zS6>`}w=VP?nt}Bd$08-*M@sWEb8xt$>USylx=x<f8Z5L)?12buLH}ayAAG_qm{ttd
zzUq8*BWbVBdpk|*;`n;EeiI+8r&nGx3qRd)(Rw%Rv}<m>8$NjJ*g<KyrT<k*7aY@h
zb65oKi;1&qg|)t3%Myb(Z?d6#2N#*Q>j=RXe&U_=ut!DZzg@7&OUi&+_{YW7d%W=Q
zpZA*2;VR*8_5v{1hREwrVVg9k7tHW-xrJ>h+<HabixrlPR-nBPQ|`aQM-N*sGk&-O
zhk03lB<*kQ8?%15;Eyg@mr4IYOGA^!P1tSOL!J(H7kNCI4u6v`9a_iw2&S?OkA@qZ
zbxlaVdqPk28a&>6Wu5d#*sD(0`omlOwzyNG?p5)}<s!VutHZg3`pW^UmQ%2)aiAip
zr{&vTu!YmNJ^V%bH>zhEyN{51LCt1TKST8~NE@b&o~R;q{v(U`Md2!?i`S`9Z+2lb
z6@g<VZmE#vO9kbOa>0oWZTBfq&)r>{%mEwx{%cOAcb=pFO9{6n-n>NW4S(da{~bYl
zs_T^qsV9yuxh%qI|EYgnhU1IGw)}-Pjh$o2_QUKt(LVuqCl9O5!$o5|!^hxWXWEG|
zxa@Z^_W=Cl?}8=CZ&?_r?T72vx6%E9^Y@p;b-_&f*Q!bW2Hp694{$)%9oHdvlKK(F
zJ9zRCs{q-atrgXb8e!SDT7KQ|;}>*1ui)6iQpr#7c;sEz=kQ|4z*VyU9FF#oc>?dd
zsj5WwpY8m<V)x;lmZ55o;ajJ*7Vf}Ix%~^}Fs;L#oLg{5_{8n|@EJFsGdJN0ZcWRF
zu&P8aO9s4K=LBsbd~Lq?OA>rZy69ywd~8#ocpMz*-?%jcerRgE7y*CDV|{lM&bnKZ
z8xB8x!GG~O{Ie{@?GkJtb6VmCEccd<Edb6*_xcnEd#4Tzc)^~IPZJVhA@37cJz(uE
zuMS;<PyUlIafPiV*QQB-T%P`(d`GzE!e-q7n8IqqS!?)ry9PxN9Q!76s}&sRs(arX
zmUK|MuMc;LmvWN4yjAltUATVv(SM$B#Lrv&>hR2|&jBRge`jBlD(va^WjDDV3zi?T
z*$00*Dtw*fjY5NI_ri5qyHs3Z+k`$DHuzXe6bG4}dnEYF7Wj-%c)c4upm&Dqz7Do;
zPR2^|{LVkkT+34UPTvj&ay=<EvT-IC{uI;aOOChU)(X0}V7|`jw`BeEyWjYJ9q!W1
zmL<p6besPU-hi1|E25vm8GWoBk+8JZ@xRaE-A9!6M8h^|=XL90{Z|8XVesOB0!1Ti
zc6Osd1WccQ+_Vj5=Plq2hAABQ=sVyH`ZkYHcscc;4cXpCXPp%NVVw{E*vRqtgK^bZ
z5Zv!8`;u(W`yc64`N9cmE1r|^@1$&(K=|%uX>PK=9XY-GfHz#<H`h)Dzi$m1@`LRv
zME%%cKCXWcJ>f6eV-oCe{`$2lQvcb1NK^_|Sp64H>b*{DU&-;6_VM*tQtuGb{j3YW
zJw;(o>Wan;$p-M^NVXlRABaC5?+mvdp%5o^R%><*S2!TA@BpcA=dn>G{e>#!|NeQv
z7h?JTUV*RmKiWv@8E+kCvSGpe^-fZE8xShWgUhBA#4o@ruN78{VE@VR1vi-0XtC@b
z?6GC7kmMPT?Y4Xg-@2lF!4(cVKgj$F-f$xD9mx+SE;%&87SvTY9N`q<CtPpgG2wmM
zB(GWgy|xcd);-N?4;!{+T>JvR&c1Vo<TE78-VMVSm%3!E;oer~%fH}-7?yZjcz15_
z$0_)wfRcqdoLMCuGYemv@hh{0e=i^Tx&ohgoqOpRoEX2HvJT%J=8zzHE)y{&X1vej
zrik34F}%gQZ-xcle(8cS$?MP0XmP^~i*Y>quvb#<>UQ|K09^~ofBo?Ojs*Oag*)vC
zd~_|)axXmi^Tebc99o@HDi6Qe;`Cet=CW6EJOuxz`1K6QUlKgOSs%{tAC@@`Tbi=h
z8Nwd>gyKm)`j`~E87xY_%R&iGr09A_-sfU>FmDsd|5c*(J_G-a$m~*p<^7BIoP}*{
zdc{fpTxDI54_x=7bwLJx@9wbQ54KpLH<pLlw+BU%_s2we{~6u`Z~6XoCIVKY+o>!L
zhi&W7iig*G`*YY~4&V6G<b5=r$t7A_VI3L|Hd3!qO=4k$Gxx1FC&KQvj?d`fJM^Eu
zufccr>R+LT-$yx!#=zI>*E`p>(f$<S4<qj*dtdoGX8{f!&XWs*H@$7vnuibFzx2Z!
zRtza;nSkkEETxn8neoU3pZX0e%RQKKhON(^6(5BA!*||wg;!b4yS~B}2Um}tf_-RZ
z&vd}XpTE2$`6DtStnF}d<6{>aIBJ6ZOA}1X%gaadUSDV>>fzLHbw0*$FVE7#3%K1|
zSnL=)ne$h>5<YaLIqWbTVn4?E2(~>TEUyVa*hIll3=jNCJR}YWvaf#3hev<@nv#Tl
zn>cr8!v}Oibok(l7M#<muuNFTngDz{Ks@6*e6l37m=l(A6J8F2r9%DQkUGsey-6s%
za{V#y9ytEm=;Jf6=AjEp((r6YGyPeZ>es`hgK$br<wqwt{oijbMYxJBMZyI(;T68A
z0h`hWFWSLxOKps`Vd+*2V+S}~DeI0AT)(Kya}xfl(_vu(pIGO*U<2RKVJ@|VKiMxU
znZd2CY7W-0Kw(#^1stgyTImGGX*{wsfisjIxx2tN22NW@p4UcVn?D?2d$8XKrW&<+
z8wh)jPDPu-xrM!6vG5+R>f;9R(K;HD1bB?K&fOmVsv*eN2UmMB-ExK1eE+!gz=NVA
z#U8Ns%><_@m@_!po7CqD-f+*tp&NWIk-DG0JI7{bJdZ%fu1)F`O9d@V@Gf7*TsOF2
zy<dO>{#aJ*>IkpzWb5XFH`?aaI>S$I9ueIEU({$lVGcK`JxmdXSp`0?ABU-L`>OK8
z{5#ZZL}B$p-4H3*`lh3^2z+gvUX0}R?Juox!ST8KQpMp5rweX#!1LTwsyku-d(Y)J
z!BdCm?(KnN6i2_&!a-xTCj{Z9wKbnbE%XmuYJR;NE>ZAkoP{Y1<T%-3C911d!!Xq)
zu`nK(uC$5z2h2YARe}xHPdeq$3TOH})F<_sG>#YTu<^n5JR!LHFqd&Hd}31@Jz2g;
z{ky_?n8Ae4RvLEt^h)t5eEZw?W?4AA^IS?LY*f0RR|OV5etb_c?7H&jss=pOOmX=h
z%xtLKuMaOg{j@C`zHaeb!vr?DefexIEHAB`VF^zd|B_3G%^jExt>K_c2??2G`umQz
zoZueKqdQ|^O4oG;H~8nDxxje%k?e813veE-u~sA;RLi@~7w-K%lN|*grtonMhOH8^
z_XWZ}=hi-i!$~p}{eJKdx;w#vaEs3I0#7)&{?vYw56n!;IYXuoH<TsIXIvU{ae&)h
zXhu)NGiB=bC*ddie~%l&pREeSkHc!}8MltYdgn5NjN!N5-Ak(QK+d}M5m>n{v{W7D
zT-fwS1-3pgd6H~jm2!UN@-Sz563Z@FHz<MT09@T$=du+})1Z7W4todK@{;Y9?oqOz
zDBR5Yx0!6uClAu73&F;;@j)ywulvnW0hr;}jy;>;ph~6+F4#$;;tK;DRaR`n0mqsj
ziK2$rYIyf-fuBwGDAB^kq17FX@KHzC-)q>PJ{j%HqJ>Ww%w|)d{x8|=!beS<&u!!%
z9YuXKbc1pm9L7}SXbSIQ2$64sU$BdwCg(#_jeXRw;gsoQ9%Xnwar6CZxLK2>iM)@@
zJodG31zh6g6G+adA98c~%VDoAGrP(8_Pn*}pZoBsgroiBeP*xa<gb^&)xIrPMd8p#
zCbKDU6ZePPr2eW;H7l7+zw?L@she}oI>*36tm)L`d|tlVS9O(4&mLw;&i8w36T?H`
zo9geF$ooGv1Ea-*;C3bD=j<>CmD++2T=z2U92YztrjmC7&Zd~-BJBzOmcM7*;X57s
z+t87y`jTy#?F=kod)uD@*5iLXU=Qnt4M;G-w<VrO+QESq`k!dv%oQ&a3;0P}SlmYV
z!TXSv6L7}lgggbzc<NxI5j<WYFir*ctm>XOfWrl2(wEWRvB<05paO4w{+)v4-J7}}
zD8gNqNA546ertJ!Q5eqncfa``eBG13awj}rx5b;(Z%|%#|EPiM<^Gd<w_$pF4wd>I
z*l2P?1TVa2`0n^~c>9McQxTZrkCjF>{58?BnEXE8hk`$q!tL~8EVA&6Dyh9?@T5Vn
z6ZyR#`)M@Xf_FqDx2nSy=Vo{c;7onB9i)BqE^F!04VY4GGKy?Z_4Ie>GT@Hb+yT-a
zDk{v*iiXXV)wFEkp*W4%SU8wzHuE%mHRVNh1WbGVl_6;_^;VwRdJSgo^1ST@=Ph&&
zgu*Euhs;QOiO$?#CLF#LK5>t<N2cEY{1*tXFFmylg+DRwdqDC_Sv;GP;OXVGi~jIv
z?)R71;qyI8Z6r^bl){n)-(1T{_a^nt=Kp_xY4N^MO_Dz%S#$0o>Z2_hTfE>r+0Y%2
z;fuRQok{+W^Ztv^;hIGi>9g?uUo)cB@W8IP0Z*9vnnhPDyyI+N(HZzjD#x|=ur8<Q
ziSw}Zhal<i@TJc40xqzQyTb4f`2K2bt2^wcnHN6?zYwEHcY+t)tPU^0b017K$^81i
zzaFK-{`|owhS>qGO9{xOhuLlpzB~;(7Jk(s=Zi;WERlBby`O2Tys%za^%r~iZi4Pn
zaz1+AF;Zv+w`o(*kn_jS36<j{&;7}%^dP)aX3uW{=kapeE5ecMOui&PPt#gK&KIYa
z#c_<l?^_>yMjLiwzB+CWTXYVwnZxgbvnr3moV=+`<b0u`eT0eR-)iV=cYrM?EqnE0
z8@j*k<aqsfj#kPDrpYVbc@7Tz$hM>nd-j|5dXPHDD<fTa%kV}Ce^^AiiAx<e&M5mv
z&IbyQJUukwpKQ)DSKt#=J_^e4yz1uPSK-4od`YTslz6RD0{l;h*XkgA>VxBS68uW7
zvFs2$CCROo3A59@4m<#-7`#}@f(sQ~KFGoXJf4OHu*+U!XAxNCVad}H*!#=eOHo*p
z(w_bayhF9!csqRIXo6=IoayLM$OkV7>omTGEmtVpDarI715@6?r#ENr+5jIglmFcb
z+x6@TpHRp7G2kWjXZUdDi%(PV>6Ae8Ay}JATCN|S3LW$sgZq77#(jaC_uXllgO6M?
z7Ho&tZiY)P!?UM*FLuC&AGE@$w&4Avx3bjU!aMdomZgF9-U_9+z!yIG#4y5ria$;@
zz(ZvN%3I*feAlWbSmy1m>zuIP{AayquvdrMGA}IIVSDQZta47;Xg8@pW^*rxX|t24
z_Q0iYQ|l_=o)R-NY53TXM(jg)pUG4D12EOW#=$a@?+CP2gehY@?w7!`Q{Aj8u+_s0
z79_7E>G;wJX7XkiDuN~Ys?VFi73%5!B%hyt<v&aKsj95{ZJ4jR|DrX#XsIw&2tV?7
z6+8zgy?y^I4;B}F)#U+yJ=Nn}0I!AX2VaJ%G@SS5!2YlEq_4my%+G(h1t(TY^ryfJ
z_y69#3Dbmz#;3t1%2cLge$HDN<%?ijnlRoBxZA~Mv;?kaOMIIRM`iv=c>zlqY)rWU
z&ju*y)WDg&oN8o#t4A8A+hEfxQS>RWRmIkV4){%MR%JR|w<FJR5Pn@kb2$lS=NYFQ
zhR?Vs^jwFfrXQaehn?$Y^J3xEQ)`>1;OnpH3`u^@AnFMP3(lw4966%l$GRV!sbSfM
ziL)f1Y?uCm0XAsRl8b=rKMtH@f_a}=4Mo8=YHpnTu)5g&2VwA~!;jtx!ij^j8%Ta%
zy03sJoE00^8U(*$dDbZo?+@L)GZenw8zLeD@322M?gvM`ebp}q|4aI;9ta0eMebFF
z-`(S5^oIM~|NC(m9_1)>@P$XW#mei!39dup=ix_-jiUze1dDsPC;Xi?LG=WDcSrv=
z2Y9RG>Rl^XUCq|r2_9-`SaE<&DUxJtU_+Y4QfGLF)z(-$SZP}w^?5i?%bm{zzSqxt
z#v4xK81puT6+C{|T!No|y<xu>zO_45IT~gj-?>>5e!cg<-<M&t?7-8UaA4&s6{+w1
z$Hu}Aj}Hl#l6u^PojV0w{Zg?h3hul^&AxsZ*WZkeUZl=<JKp9$*u-*fQyLub;$wLu
z{QAyEn_Sqy`5SW?d^O<0#X^``QqcJc+<Vfj<sm%$gmdu@{9_aCzNfI@^l`&N_=(5p
z)oR#cP~}@Xe6}ZUtPb9o>Mwf}epTnK_70ApKHeM)v;Uwkd=KB@isegyCroBndf}L0
z?~zD2g7JB2KWsc$tP~Ajnz%(h1lw|*Zx4h6s)SvC!(KCayMp0mUe=mvIOV^f318Ss
z;=RWltcTW!KdDo{Xjp}x{W;lv2KK!uDMrPL`#avz;%DKk58R>j@cwDh8XNfBzstkS
zu>O?k)>AOs*YgUT@UNbc0uxxc;cYH2yj`DZ)f6_|^L%a>?D@CjKLhxVmP4TkEOB>%
z+ZdkZIkvhN?mm6tz8bvqUe+mD_(p6hl?FV&A-+Nx{(0Nrog&=gE9t5R@7Qo&Pz8RY
zCQx$(ew5q!crQHdZ!Tm6_jylm+z+37qvvM^YX|CN?u6r>U;J_sHf*q;+6^bfyYF*?
zXM#6A<A?R7*N0BS4jXnb?|}V$XAgS7XXopBxMA+3urV)KqoQAe7xvZmQwxMSX;@z|
z!E5j1?uNn-6@<63z~31nR<6NHb4GWmU<t!`yLk9Y&Z*T6a1vwW(;F}oMULt_HC#_P
z?L2ZHc8|IBry0J$AT)Oye#Lt`@Hw0$JY-%B$I3t4RRwRP`9_@&r)f$}Jc2{n6)H%c
zagS<xDV(N!;M7fce)+XsA*`Ao#g+rJ6?W4Xz$<KFHK}mFl6hw~+}rfQBOT6q>=kqq
zmW_DBlL+s0@nMRCTW769N&bj?T2(Zh_Uouv9K0ol^Kv+Bay#`)0^DJyB6b;W8H~IZ
z3H$M?z4U?wY^la$;Vl32&K@vZ_jKA7I8tB=KP<-Mritj1yqc!aCui8!f_*+1t_{!M
zcNCU*mCr!x#p?r~4T%e4DoFja*{8FraDYP>H<{mVdp=HOnCbG12J-tvNF{iRz`IV+
ze-4Kk5(jv86Q_?~C3VT0UxbHMaePT<d~+SXq39Dd0<TaV;LC!~&M7i|g8!y&3nS}0
zaZ`swKb&|)sfYX?Y}=*8yWsMLJyGQM>vyZW+ztDfnGBS}^-p<p+u<#T6%#9A3Dwfv
z4tS2$Y4{cFRZHda7N+*mPpgANuBKGCz>JkXV{c(Tm7$0RI6l!brxj*V-6&1+3#Jcr
z2H+(Z<E1)y)3e0oZ*aaK<MJC=(~@C%2`-)0tt0gfCnxT$!UE1L^`yRV#rfVgHoU+0
zyG9JDyX`z;%?Uf0_{lcGl8Whcd*G`|ch+AKJNrKqgUk5*{x!nsS0<`7;G)MFO{A``
z-+o3LcI52#`VZ!`-oDKoKD>QOp&B-OxYB3|o4I!!BK1@CXB#iTy`0~vN!{d$zMn75
zBh<2i)Gdu(UQB@b{W@A+!fT&1_awvj6&qXY;Z2kq_uPZo6>3vS-Cq1>-vjt(ESp*_
z{CZR(q6Yr8M7!xZoS#oGR|{J=Se4hnx&MxS?;!Pj?Msy~wW`GRF1R<^Ac)krG~Y-b
zheMd9G)Z0buBXNn+&1w!^BMg4R!YVqtW@&M{xPh*=&rW{7k}NxMDm*Zp3F0B#qp1R
z^y5QVnl-wR368PL5F`1^Mh{lmVTL-_*%J8a-OHt1Fx_xt4$1#J)od;bH$6>oE`m$d
zZ_-P^cf*ullKj2e8e18dIhyLqZ8)DhfkhrRPkQvJ03P1-#90+iWsq=9gYB90-fF_l
z5j`~-uyB|Mzabp#s%01hD=4jo9fM;}jNgufgJpzzt>6n$N26WgYp)uOUE$2+v9E4$
zx6e$0Cp@?1qwERzgWl3}e^{i!HP#$%%n;rZ25Wcc^60|<(mXFj!pv)XJ@w)9XY!j9
z;KYj-6v}WX-&e6zxPQyYaaFk5XUpYm_))kI??IS)sbpUsywi;8!Xa3t_H$$re1RfX
z;Q*ZT!u#Mon4XC<Q5F`NzZ?Gqu6@VPF9L5+Y@4ovU+NWki^7|hDYa{1KD*tDLU52)
z(qcU<#a)`T3-0!5Fld3-9EC0TV9SFh|Jq<7i_%g7n6~e#X%Bp&Z-*}zoW7NXwhxZm
zSp1F$&fKkKH3$p5=DfZY-rw80c^GyQ$@#?&$68U_kHe<yn;tR4;#aP*O~K74w_1^W
z^}E?>ify>wdUkOKBOD!k@jNwrI&JMD$u}K-@E-%bNA#r1MmWV?(w7N7ark=*JuH07
z@f|yC$8hK*HN0^6$0aT}&iYju4Ltmt>w_R{V0l_~K?VD75R;5BJe2n9&m7G7=;K!m
z+*1Ae`HSjT*iLo#+-^8t+w{hFc(b<s5h?hm^sk+raNO&C_Yc5POjZFO;R-zuN+me%
zn&A6aaI<jIHcgnDIeu3i9IxAP#sC&|e>3(RPCF;I-58D(mpNQbrl)fEG>4mCxoxU|
zbF=GrSi#fJx^1dp-rF1e9N?4T8+Vt%zsfE4IKv#{1Mi>0gA|`Tec_Cqo6<|+qAaNh
ze^@xhd;AeB^24L=GTca+SzZh`&ez6Vft5~p+LHX6dJWlB_=|MH?n3yKUCKxr9Jc1t
zaSwjd%AQ;VvuTH<-+@);9M$i^BT-iBWPZOWM#f*jQ-6IsGU3#QOUAWufArw)Y~p`4
z1#jR*iNA+K;ft5+&ve1mx6RYTU?t~GuRp^}HOFlO;rZmlo?qdetbaH8!z?#fczWP@
zjdxEB;3Yc>ya5pHLsjlg#&EzpgY-!_I>O(d7q(aXex8aQ{UIAG+xX$?1epeUxFXQ=
zBn$k)Oig$T92j+wju}?}@u!0h?!U&~MhC|p`4dL+m5=p==wa3lwO&?uaYX136+HPs
zIcgg$p=Yi_0}tH2F~AEy;a_X{tBn4OvPe}SxMNmg#}fQZ@_VWn%yNDC*EFnu@}rg{
z9FQlfJO^{@NoC2x@jf#f#^FPg0tN@+hZ~MPBzYF5j|)d&Zf!Q-Kk%DF4MqBJP)CUm
zsnd>h6gk0VRd$M`?pRi9;R5?EQ7V$U+Q>VL%kc4t2UMi4ZTN!z3Ow@E?>;p?e`SvI
z)30zsKJ|rF)L9SNI1j=nr89XcQ5Tt~Vwr{eqIieM_u=PRs-1^_Y@;2bK>f<YiCQKO
z+`nKADIs+kuOTlM_|0+85>mgG)Z--zTmJp(LF!XeEkY8o?CkzVvOYT!H~SmHBj-|M
zS5RlmqY^y|>z9muUxWA3nS@xtYF0;z$ol;itGV|i{JA}MZ4pjzN{w)YnJX6R$@hJE
z>Z<H%_^X2f7g@j4_qt=w!$(5$zK)SRUxT6-tZAelP4Yo=P9tIP)}AzDvVKaYOwuD@
zrKRx#l6Sszdpr)7uQ=d73{y?U<s`z<EYY<iu>RP<Y&!gImcj57oF{nicn)m;%KCOc
zoOye#<Su+?DBZOS)^q-9RSaAF{$0}zf410HRt8t73q-WTW63P`<#5DhkG>9g^P*$r
zOL%e1t-QBzNTHg`EBH&~^n44vFF3Wj2_9xT5>^9mk<j9Ag@4bd^t^_BuHE$h2>Xve
z&wd7fiafuo7mj44oqYj!nKlG`gAL*wH1ERMUnS#y!H%XynMJUhM&#fWO#fVj#uw(+
zDXXOB#Qj>Yg@+g5bnBz`E2#6{Vpep5>)eX!DNuKw82)Kb>d!RKEu#LWXvNDEJ|G#}
zz6Og$ed0BNUCVa|%)?S`W5w#Qf5OTBWw_|@2U9he&2TPa26kip@ogWRoWM1*0IzYs
zkJ$_7TrEwSgmZlcICj8slJzrlunucy9Y4%sb3A(t{<AP($O4~tw^*NsOGNsYm|*X&
zUq!!RmyDqZ3Rv^V=S^gO>Ndajt}9`D*>9KfpK#j8$*^CrX;Wpx1YEVSCh-#vic|F<
z^~vWeA@AW|58N)3x~;-iu{O9oV@izFGxR9b%iy7SopG{0v!-`Vl)`>-&1qzP-_xO2
z&46E?%r7GK5v|WDH{q2VJJ-qj3*VD?KNzk)#qo-)e}xSel$YTnS~*)c!`v2vab9ql
z&;}nCxcS!4@80m!*x0vR@Fko4v(E4m&reZ)n4QC+&IR_|<Pj<i+c*DUI|g3~8Az0Z
zy>{oi9EXo@aQi6-Gm5u`$isz{@9!RlshmT*6yVCecB{HDJ-2EZJG?zO+1(tLa{fuf
z1uLBquCs&Zb1K`mDx&?RY~WuD4<@Ya;DBFCY;1o6r<R7Ybsxg`L-&76-{BjP4^H>O
zllJvSe_#i%2bFcO!+ekR3|ukM$<P2(h37n3hN-8|-Kc<77PMF?xX|9}OZrm<b8cdG
z*$DTj^ZS&*3KI7k8A&};`OSS;x88d@JN))c&9NN#VA_U29ym|3uP_h3R@VMr2>#DW
ze_t{zD|1Y04_tV|@oEbEqLV*D8oqzv&6cY$8(rEDSvdB?7sqSx`#nwvRbU!(>vAuc
zgOx&Co8;5oHu}Ji-@VT=g8xvKB|F19LLw`su=~RoKV4v+Q_IHIuy@F;hb1iFqWRDs
zex0%W-$__Zl#9j<u6ep8`Z&yCs!)Cw-ayAOU<SX4WTN+lNAAkG9D$ugbX)@A?~V#D
z^<c$syfxu){V$En8u0uH*|S&S`(Ly^YQgrQo9p9YmK*w+DzLo!4zDEmN3Fqx8mvsW
z)RX}?ml{4%fTdkFU(ABTSd8eD;8yP+EqCCr`}A65;9lLiz(P2vMOQ!`W`6Uo;~{)>
z$Km0<@cylRp^wS*|Ea~1e2Ynxcs=ZTMcPCXzPsy2e*?T6D}9&b>3^P;Zi96$Z+F`R
z|CR9j_8xxxn&*`myl87I`w2evoASy|cxJo#a6i1gheDj>#p*XEjlnNnzfK9lU3AQ<
zlkg_auNoxJd}$<g0bU=d+QbXj%ZzF)!#*WdWhC!smo-JtjpIdsv@bW@ou8A-2)iyu
zzugWWHNQB&4Gyw4PuK=mGF`mG3A>e<{osH<${H`@!35PBU4f!4u%f*|u@LO>k#Ch1
zUSHY$PYhnaHTaqVcFGbgl_Yh?Z(Et*cZDm|a<GhZ?k8G!Z}sfsgRrAbmc%AlNuh1y
zVb~(&#0({z{a<~h2CQ0dqO}1wdXmFv0NYD!WLQ%``|)woOCxwancDUrOv`qb)g0EA
zE*DyaO(LypE#cJG(u>Qmsl`DK2Y9FF2FfvbS3HZ43moRZVmbl)4NbiDfM12F4}686
zH$4~eg#{L5_YJ})Ze;`q!wEMTLR(;k#QiZ>VcD|9&NjG~a@+TK*yzt=!DsNm&7|=g
zFmHZ_&kI=pj*ogSJaFz{eF5zHr^~1iE^p-GD1u)`y(oAHi_C1_69d!!tgw3ya|_H}
zii0~O^DFA$h0QJT9`KDtXU|sn!<NiJFSzZGY12pe%gFsIL-^s&(7iw4Yk$veJ_>*O
z;B|Er9)6}aC=Rc$>r5`fTRInHq+kYDRZU7BjMrUJ(q@JAqjdf;z(RliWNw9TXQ?0G
z3V-3L8(BYy<I&7ryX~-ciOV5M)K6vIsn`h%M*OOuK|MI(GMgwI9UQ|k54Ti@y6%H}
zYSwap!a_Dj8|C1=LfNyw;5%DPwyVO!&6Jn=V165Re@$30J-hug{4s^I-2j%oJ!jSi
zJ14vsI|gfgiM{t8KC0Vw*$RGa(7nG79-a;vu!F;A&P4tP(?~}gaD~UdMCnz-IwjqM
zZt&eI-rQF(pVeo1Z@6RLNVp76O!rOohvg4_3wQ!&w+4+~hUa5vmG8q%NsSp-V402K
z$)#|FeA{F!sk7v8=fMvd%=DAtwuL?CZo!4JcDFL&C(d$zuftIlpVxC?w#rvWZouVE
zBc??#d(5kjNLV@9tn2|irm3+j8qRKTpsRp$&slMb!!rDT272MJ?rJwl_(eXo%y+oq
z`|dy%c$|i2d=#$U9@@qRUy$CRJ_pCr2%VsT6^}9JF2TMfe#La~FqPyy<#t@ZAHG@j
zM;`Ypc74CU8Q$@Hgkc<(2&Sgq1{=DbzCHkt2fwl5hX2!j^z$2BXf<BG1AcV6SNa{i
z%`>=06jmDHj%bBVhVE?L4`<l~Zhi&RQ|Nif!|$}8+t$LT7rYu(;oUnKM;^n~HJf*6
z!M}WU6rREg3bKBNuv}GK?Oj;#L4D^j_>y<S)?)bi{fRv%VgIpI+v{-4nCN~-*juaV
zaVk6%W*+4Z|7SFQFcPNN(m3P^^Rw~9MZx<-=M@6ryShcjVepOA!e5tQKJ|~cufVZ_
zJ<1XAFvpOnFFdEVKQkIG@MjG6gXv5hr;_3QPnc-Vz;}4d_0nO9-~;CFaA(=i{5&{d
zyU15-__~PbS^=D6th>(+9#FM8RthJX)Xba1D|ssvW$@D%Uv;eD&0>4ap22%|y=>Qq
zD-PH{u7T|rKJ74qM-HcNY=SQ~6cww&R~D)rTHq%X^{a>Bj;Q%(UGSyMov#nUEgP?#
z?tu&FmD!Zx@0(v%e}z+fGP`Brnt$4EgK){ECwmUU**>AQf8epeQ;$U98+Q`6Pr*N<
ze5obi>p5?{7Gar}O^v(YvOax*6?pT%el8K%S1Zz&nitp4&0cw2a35Vn$3{5MJA9T0
zu3LC5%mT}Aep9g(rVTpukqv%0*1L%Vel~DXY&&dL$<@jXxAaW*^1<0HA_A<i;XQFF
zVVI%5+jUhA{hRDza#HY+_t%%}uuf=goE%JR_Aa&$z8zXQr2(&QZvOfiPA^!|GJrXg
zN@PmlmlJz7*uhyIwS$Fl*O7q-X0XAnvo+2z)5q-p&ci}wxo(bd^r-f^(=eAxlY%Pj
z9rm)_8@AHl^h*g2%C_@&hesS)q($JRKNmwueWu5HU>Ceaic^%-WjbvfIbihwwkw|S
z{jZN%w!t@-9!a>uO(IXa7-35OqCPiRg=%vc1N?qe{fYxD%)zL+0X}IbEA0&DRG*ol
zgbM=R_gTYMIqpxFWzk+%u8AbyuZ5-Eei7!mdqUbAwyo*dH4QITsSH@c)hf3_$Kc)J
z?$Ww&+La>pVVI%QXh0thNM@fNg#BcOBFXxcz0F(R4@Y&?9ngkpf)h`Df-he=KA;S@
z$>xl_h0W_|<Vk+2gfq1ne(@mn`yse+S%~L3oTM*vNDb!Mc(=I{cE3<JBo7aFKJ3bb
zWfnWq)Zt_{m9TW!P1aJ4OrJo1AU+T_iWHmEgs0Loz6HT1Nrk$Ga8RT1Lksxb_V2}3
zaO#N?%9C)#w^J03u*oIC_j2%{hL$Z^|GP&&{*R;kj;H$j;{c8ZqJ$7xDLYw_N=C9*
z5(;HhvZ4@?h$thgl95p<;%g)!n^Z!{Ov%W~$c*gqd!65(&&T^*_k7kl=lwp{y*Fjx
z4uMJ<a{jdv^n-W8*EiM|yTao~84t3;QfrDA$o1HqT~kU8?~D{Hy8<5?iL~DYCwxe@
zv4tN^AD^0&!TA2xyW%oz_K_uN7Jeu^W_uC-@o3U=9M0xD#X{Qq%YE4P2X5{~ff>Hi
zmfX}2^NH{~Si>c+jm3K4uPG~K2Jq+M15@qrC1F$hQ}BhotVwO~e1A1Fxn8pZ|12Be
zPj5LZ$@#Dn|GDimEKwC;rv|&O6*s+y6$ihwXu_{rUiiL)1CA(G;L8=1w4Co8D}lde
zhdYq-Z^Gz4^%nkna%KlP|2I8N@^azZEDBXe;ZwufRylAm^;3HpcnjD5y)R)?_90es
zJzt&{Y<>Z&ozbWy&+FWoEzwEv>Ed8VDcIPWMkN8>uQ9?R0xL?4ZHk5i7x>@pgU@Z6
z%)1Y(x88Qx3lAr^xQD`{EhTJZJg8Rwxi=V&UuCNz<Hg^Xl|z2y^*Y*@cf)~fU!r|s
z!S^p%*<mT)m|a)l0;_c=(q8QDf3;5VH5QYdtZ@F_$a|Myo(nhM?}V+)(+^*Se_U+2
zyd6#vj#xblH*fgIPR6gLy3GH~;9x_|>Mii5bq`5h_*jJRF4Dg2P-2f3EU>HTJvAKl
z#Q&KJJoI+(3TZ!?mU%)MZoDtUK?NUY@c1SLb2k{ckoN02F9RfCwSlBv>lkl?Uxld)
z!!3TPHI#@Ca=rg208{^-zOsmT^V_f+JK-7L*-vY5U`4$!E9_n+?=lA;jc|3LfTv1#
zyOa3#l@i{y1K97mYr{k0BadbF^}>E3bYCg(_j8Vfc67s6owTo$@n5WyeNQd?Vy^23
zi3|35HhqM(HgWKi_=!Jj?71-OyC5MFziVRmDI4})u56k|Jim5edmP+4M%PA;M=Ie=
z#Uq&3K*@*1hrh2J4}!zb<+ZKA&Br}w0%7Cz0iRiTOYqQ<EAVyM89x$NHFFxh3`<b$
z7A0{H+7_wPaM@+L{UpBa*o9sr*zJN$`wYBhuwbJO=k2uJPtF(ZUew89cAbcJGT#lq
z7(OcwE3e9TkmE7!4y6}^tIaHLlelpGk5g>0jPht8iPPEN-M|9()X|EQIM2I!?R9C)
z7X!|cBz~jj_R<RM8W-9z2}_5T9~*+ThrV=@<J~@gYkC0osu>I<@pl5R4}B%=H8%#4
zxZtAC@Mn1S)J{nfXSilMlLOD5v*;%M=eTj;Sr&XD!0GNZyiaC1GZJ<&@i;(^f7Yqb
zEFA87<kv-xfBMoxo2ziMluih_{-JF_EY7gWJp*ZS{e{kb>eGVVSLQ>=eE$9O=O_*M
z^|^UzGT%Q6_1nz_^NK0U(ji{)DYlUVZoG4-hupt{w$J&7rLezi(I3hJ8!9(74Z@Mh
zEeE#3*@welK8IPnjAi-Z1+8x;&)}Au@;zk!_wa7%d;m{0mL1@O9|-KZ7X^zkJ?$dT
zZ^j%K<88S31EVw#9DK9E*#~yp(;To3ZuQfX@_;M;_=}VEhF>y$lnb1grr<~J#~8&(
zLkE~Cdqk8RALny%Mr(N8+URR9j<3qAw8a!=3|#OWfS+x+8)X3VEEsWB!wuWHPHDmY
zGSf95V7W3TCS_RWl9I!7xR2s>>mj(RvV|oL-rU%HUjp`jwWElvF9o%37zx8u{7=pY
z!AEvVH?zX@cb3yt;oqy14;kQ$X0KBk@XFQh*Oc(DQf^IF*hMJg+L9zbAGqP+%uaaU
z0fx4JaNy6Ksx+|co$i<kILI<+atrL<{z!ccZmrjdrGm{DY_<%-QBU%YZGxp(_7?ZS
zbEYnTR*)|gZT#o`6L$0c9=#4*j2G<t0Z#`-E6l^<4yRw&!6%weJs|Bn$97wPg1@jc
z$dmkIVN2Ce5q$N1StQ9nGWqYv6vA_w*A7j?Dy}Dl?!goDdk&I(gxCDQ_h4AuqqS!N
z@%6~1cz?L;*0zvkxTS;nPXHXwWYN0;?MpdMN;|{$X-hqH@W$l}x39v5pLGxJfG<7f
zQnQC&-MG<9&R0#Q_#;QyjOnW!4{YMsfBGUUDZSLU8?LXOeR&C%J)(D*<TC-EQyeVe
z(J$@;`{2#5Khlx*%e*`fj>4Y1of^)<v9fAMNj`Jyy)QRupXL|;kX$bYTfW}Y@J`wa
z1#Os5URu%&zVm_k5y@vhGB?c_!k^1!l#Jo7oxLi?@Z+(Nm~-&`y<VI3;nyY^%2sfu
zX|S;Y+&8x#YX|55%=vi?wqukXcY^h<m58dsG}2+mJzy8B)>pD{^xuM5Z`kWxC&eN7
z<s*iv05~^)C{P3zS>AV?<TvcBV{QB3oZWXHll;c?`-mww%q$u^83QvXjArn{TUuw-
zNPcswwnLl=R`Oqne*vGIYWLj%r)3%a&4NRNiZ^bC<0$mh^59aYH>YS|*X+#15_pg$
z_{X9I&QEIWbR~RbgRk%kZ2oOQqZZb>s+K(tC%Jr2Xn+f<<klu(L;l0F-{9x*fBk!5
z9-FNioiM9jZ*xC<{PC4!^1S|t3NvYggKiz18G%(_UQcU>+2s<n{=%)sZ2M~A4^_rV
zWPBBFT)R;Z*DRO*BlD5htj>uL*d()KoDJiHccBkO5bXHF{t*Mr_D@jV1>W&r-~$q;
z<GnEN48PgLBv0Z4F^xB@;P#aZ5j)^1^BwyvV7f;W2kBv5JFN*5*eNQimyB0;mhLAR
z!Gd1wA)8^JZ?%?sFwciVX<B$dnvGEhzOZ_<lZ;<JJ$fz2;pv$6Kr()9rG0w)7+l3;
zzMqWGx&c2_kHEvU)9tG;m6ybv9IV;vdg~wj=e^xqNqF<FjUr@zs<`vPRvcbZ4s0g#
zi`mn45h2*9e!Dk0UpnHJKl$Mv<;cAxKTKkOoX8Egaj-Rv!Rf9PdYtgeuZQmB{O5_u
zZ)bs{XxVs&;1<KwN+#HV=fS6LII*kGpANnov)zS^xBQjw`ZvRM?>1I9lK2o+>bf|t
zho`q=3%r(c-FOw&j+ot14=X$_+BpYLL|-cZLSCQo%5xh2TxrNq26HR^J2DC@ZmxP;
z0VhVej}5`GyJV~iVf(p~>|b!vtHdqEu$^QbLno~B)6Xm&o|k5BZiUrz1~z8GS2>^f
zH^V{iPi3XRT@xe6>*0gLuZ>gTS4Iq}AK_G{h_q;U=!3a!1$_A0(1}?1Ze>JmF)Tt+
z@$@bn-ta3l56*nbs7;=~pXR&Avq?N`;ISuMNaLQ920yzjsY;&T2O{scr@(nd>(LId
zx*KQ9W77VInj(4rcTx%uK7=VQyU7{B!3B5I!r<cKH@znCa9noL9azTiM~4E;R>JJ<
z3oEZO1t`Ofr`Z+V;lCF5_<7-nd3PzD;TMZ#4W!;PW$vkM2s4HEzAndj9Bn=lWD3WX
zmeQ8OZw#2XYrs8?MmnUP)>%>1tOSd2x%|5UKQFsKcnF@NJ2znsYsM(Pl!B@5y2f0D
z6^5lsMB(w5#*sSkS+U<Y_rk3wFCNl|d75S-x!}1pMJZXh)Gy1B6)wM}{!<P<FZ3~=
z5x&vbA}R#8y5GLO1^zhP)=KJ=|7E9lY=U3Jo#p3%|Ha!UuI<PE|MZy#Qs2zGbz5%*
zmZ*E|PU@dBM^zdB!Mj}^@UX$u6V~tk!hP{AHQV4_TYjq#z^Q-o*-85shIEU)@UY=b
z6{)8l%lll?0avYb*^~A^YUUij!;Jat%$wn=`M2UtFm3jF2@P!3KJ=>rwl6qzfdanX
z;b2n<>!dH_Z-VPjK4U9~6{p3|t)ia0LEu710WA85hMKfDwM!0t1Iyi3$eBm{P#zy+
zDok;`pMtbkh`9JJ1%9p1nm!9pY!VDifWx)=3`qN_OefiR*wTf0X#yTNI$aV9v)LtS
zllJ#-DqRkS;~GEDkot0M>&<*unCAD|_zc|T)oybY{^BkCh{Vm#8H`!OYxAK)Q!sDh
z>qJZVPD5VAFq}TsH>d?a5lIgw@t$bC7!CNY#1}~tmv_9@BL%ltCW(^xl*gY)30PvT
zyk!WsH#27CgClqL?j46))>~?L;M%aY&jYYf>o~&}`0<4YAIIRGJ=dzJVQbnfClZ%E
zc!&0{81l0n+_ofM@N#F#B%C@dy`9A819&!cz+r-Zv?R`Ow)9Oq94Go9m(<%omlds4
z!Pk>YGsy7<u2^PQz{i^FPLjCv(O1&B@W?Ok6mmS-J1hpX;rdfS+P`4q)&K0Dz>DvN
z69(ajm#sOI;PvZL$GhN@Yne|Y;MZE!5Bp#PY6rtGxL2W8z5~`&%KPpE?{d)$>w&lQ
zT@UeweNuH~+F|4Bat0?@@knW4C)}|bTIB$D=9G%H!a`O111`W7OXF?dV6Tr9ves}<
z#n{aT*yFEii6NX}e5|1bz8lGN*#KrSS8%U~l^3hTwP1>u*4(5$oAr}kb$EW&{No3B
z$BzM<L-4mpv8<$hYDeA9gYa&#$a1p3F*EG=Qykvqm1aZQtL2-7iNTAOiQCHHx`#{p
z0`QTwoPrAYo9HOzUN~3g`ME+kB~tt@3#@*%G`keOh+mFlhDAoQjNia-RBM;%V86S0
zYXz{d(uXWscuhYgH5>l$$o2{q{9NI=UM@UtX2(YX*O=U&dkM4U<fKjSLp?(Ft{Q1S
zM*sHABwQEaGVubwLu<x43`hFfJR<F>rED7p;UB^$6rR9q>vU1w@U)%c?`QDd87`Gh
zc<_Q?cs#5mbMey`SpN4y7uhdjsPgfuhd=D@4vc}1$nYI~4^y456eI1^LzO10;G>f%
zZBeix$6dEP__vE0KWT4En<bD7S18JV35O^5oES-mh5Z??k@k<fydI~))yY$w!SJ4<
zO5Qm5BY(IfX@7-oruh*}6JWoC?00#6j*gCipVdf}2Ek?{pVh<Q9QUmkZo%7_n7;VH
zEbEbZfpA#O314sc`-H98P1rmB!A2)|{QJ)ge>i^lM}Y%;l{WXJ7u<i5L;fr*X2kr=
z7f#l(oiK$xKMrboz^P%!WL4n<KRc92oabl!@G)5TX8JJMuY3Kb`SJl0*X=*(4L8I~
z@k+sB5;;AtaNY0qOPuho&`aNLz**Av931d+lDH3vE852;(-Hqw`f?rqs84s27Oqp@
ze2wf6zDui*n-RtF4Es5dIM1xQ&NQ6vq{2+%;i6&2t+2+E&AH@wRx(*>o8cqs)u&zH
z{;-C&EV%XZlSI=0VkX<5|6mRQ6IF72BWG4l-G$pOwgv~l8DCC43nuYZzP@|#k;~~$
z7h$tmEdg@<-P`_^T!LBTlYGeiw7A%)bOvs*T>VV;7h|f}!_8n_;gkHY;QG@;OuF#E
z#B<ktxY&1}r9QkzZn>U3Uq$|5d>Zh9BfPGa@VWLTXD#^5Kll1iFsDw?>=AhO$XoUX
zcy0ZYvI5-gzTJh47Y0LDKZ?VG=Ts|y!WK)}%u;X*d-6^)ex7@=+9m>Lh~-!OhUtGF
z+9L)lm@@2~gtId0)3{-kcTzTFesR&-_>UJ(at<$FA?+`y7qY{jsvlomhc8O{ZsdgN
z`{v82G2e-{ECy|bpV!gSZ-xEW#lA7X8FrU0u)wKzFUHcqOluBwJK@0I*ugC@^|re6
zys)a}irtC`*1sNgx%}`}_I-tGa2d78mi;i#7XKqt@Fqs?)6#I|?(Cqyus@&gt0VA^
z1=*-Jc>bTFjvCC@bf&u<?oE6CTo3*^Oye2>`zA6All{p3d#D7$;2_=Sjh67@w_W?M
zz|Z*O9mxKqp9Wv=Ww?BvpZPqz>>)UE0=9|j%DN0U@E%FfgEImz7?JhT808)t5%{{G
z>mwJKGFOdV2-ey^d(<92#=H1@MHuy;)4Tb-;JoMJr<Y(g>&Kt3!i_h3EV^Ls3P&4n
z7?+3nCw%=+?^ZWh<bF9vIXppgEzJjB4P<C2frm{7_1xitr-jU^u%pwcGKrsDW2#Ak
z-%T2iT!Z7Ya_Ph2Vp+M)n=rL2TV*KhIr`)_i3_PUtK5VIJNOz&|14i9&U?Z0UxPfz
z@r;$cTssTbOqy>euV**h^V$rKpeZjT{VRFYB%=#w$Zg+9USC*aIHCn7JaGDt9N)E)
z=KV78LGSuRvL3ZGvgnh78)*epNj#Erlg(cEX0d)0IUaqPICehxWJsEv6KtnOXF(5_
z=GBOhIB$PC(-zpMU{^D_9&{m0r)Pyw|6$nqo*d5?Ux(*&aNCg@PI5k8^%jl%f?fGi
zx7~qHUZj`phZVX_E``I)nb~XQaQ@A%=a1n(-2b$yV9ntNt0{12oe6Uy+$jG3a4sCb
z@4iJcyj#=vK@sd1JDlMN|9M=$>oZKJ#W?Q-zw-}sYlVXsPOTciteZ6Hdf<Y9gSq-}
z_%Hw0-(Y2<f6JV3%}U{+5%?A7x;hWc9u|0i8s1cG#jq@h&s$#RX;>q^Zeg|xxBoXS
zK#hDL??qPf5Ip(wG#djfJ@ov~2z($z><Sy4()eAx6>hoUVM*#Ox07mbe1p^8=@kjW
zZ&ms$D&ZLF8|mV3XW|#SYIt$>6qOuY_QNy$4SbDft1hXx6h&Be6u?`<hF_5Sm|&7N
z_fy!SW*}M@7XKw`p91^5e>Xw$AG3^=tT6at(9`a-@QLf+79(J37XO1bu-w|cqh4^6
zwTd9gpH@sPgT3JyAAwu$a7x_DXB&9HsLt63X7#PzX$Rk;eD&!L{HVi)O9$Tf$Lwqr
zTyR6yP7e-~Q7wprM+V+pmW166OSDKm&_~(1NE!~3f0;t^$)KAXkN*+C{)ucSOAS1v
zWV0{~kG~lxEr-7ZnpdU4d%m;;k$Ok!)n57xIKI8Lm*mgaX0P1$f$cW>mrua@OTW8r
z!O!c1*hoF2_XPKOBRH<8Xol1iPFxAhHi2&({is9g6Pyj7a}UF&2XuQ#J=G*lWK|vx
zF+M9t>a9xgj;iDQ_`cj`2`xpKB42E26sF(8GA#=mtF5hkfp466=TG+Uk`q7Y*2B-T
zo(dm=O;h(vm%)jbEnUcdpkds`;bPcr+fjD%`Yw|TcA0ShzCTuEKk4poW$q042IB`B
zX_(3^Ir%Yc9&T+w_K(a115U-k1qFu|$o|n_PET71Ond*M64`H>y7oCF2$oojA0qoj
zDgB<>e(;??9igOsx0?fnFYKR@B}Mj&&c9`^@_^@thQA5JwL7-EUxRBFi*AzrBEJ0<
zvQDu1-KpJVzbV(K_>TijGgk3w7u<i`KJx-xUOVkb_KzMNw70T`wfriW$^H?0O>Lhc
z%p%WfPTF5JYKk#{!w&XRk^Q3jf45F+!Kphor;+-&qJG#`4VdcuS6xyc5BzYnK?zog
zoSY`ti*;1*wgMb1Sr|+9gLGvnjvs_)vzz6~{?QCS>*4{JKP9%G><8`E_*5hY7hlP_
zyAkf7>UR=_dkS6uzaO%3Ia+)#oX{57yoURw_E!GDZupI}hUXkSt7rFu1Af+J#6|WO
zJ|>5m?u2veSl^TVjRlosyBOgwK|Ho(KcUgWp>Z4B_NjZ@ADFI#H;NkG)86-b93HCF
zQ`-cK*grWl2yePnR5Q01>!&-9pOSi#!^nj9ENpw$Sc7~X;S9_3qvNoggYFoqCly<F
z{~d*`qBlPv^}d=55A*s-`<VsV9(ec77TaDp`pT;=^1SF9g$Q@R-?)?fe!$6c4c+Z9
z<D{Wb6Fl=fFu4)FH!lB~)RzuKH=JsKTenZUkor<b%F%BX@R_Xz#iSk;J02EV2KTsK
zviby1>#FJ$z+)~dn@Iau>v+mHaDdp%fA8S^aVOtp!c8~o^gqDG*E2mb;Gp2^bER-p
z;6=F<m_<lCp46u(B;Jodfqw_hE0OvXJF`!A99-=2VW0@M4eC7~180g}2_>Hw8KN*6
z41)jCtTz|HX^fTeci_X6X`b0ITbietFPuGjiHo$)^dH%N6Xrd#?fpyGZ6c-V8r<nw
zcj-U)woHWlRhW*QIX@m&(9m7AgHOcOo=$|b^FF=41T&61tUrW5C){<lgrAmirNqD+
zTd0N4!H+JKYevAq_iILsVedePaWXz;gtweJ34i?g@~|I#;NK$_ZCFv^ME7l&wS=!;
z15O$r3%CI@Ec^~th8>?o2$AvkJoA=$c{rB(!?nw>-F#D_47_Q@iv0@Qq+@qk8t%?p
zs<;FjQA_RL2d6FEKW`7)3pVr%!|yhTY_W!&-^M)WgU4davM#_&cYiW)!?}e+ONQ{S
z%9o9-@ZIohNyc!H^NBk<V2Nims(P@D54ZYO*r_&Z_ynxy==qukwp`4UA^QQmeA=#*
zu!;4-AIIQo%Qd0(J$RmcKKdSpMaLUQ=3y#1)jec>3t2p7Gy`jRT3jLf4SU2;k%t}K
zzB7~gv3;q%egw9QJ6|jSZ{L)2uMegeY(FauYbClI`vsexwc5BF7V^>B@B_A9Y)sn&
z-#Oal)C&Ll+cV1qr+j!T{sk^-)Qn|;E5_~)*1<gnUlq2(VcHi`t6_;-2l~kT9wD@i
zsRA|#Jt9u_gHrcTG#A3Rm*bl$5%(MT6qFD91#)_l{T{=rbj@s7Qq6;t><`5$2e1DJ
zC-0emHv<d*v#)#(HyqHlnS)yt_1&MrSr_Z+CrG?b^5A3mYz^nDDfnOy$9OE9ryXZJ
z4F8wb;}il*F^DIQ6Pq;d4T3L!$LCgH`HuUko-psSSjZ?W$scO&0qfJgkm!R~t+cys
zVVO{Nk0E$iUHhR8Y}OsdMb=Bq#|OWifa4UnsY(2P^yED~Sn*SMRyXV>f9tCp>~?DT
z(Qgu8d>AMTKiy$_l*I39bAIB5t3SUIAaNahAq_ViTFw5Y3(mM&R7nHhNmD2w{pH!*
z@4gvcZcQ;K@t>nphx_<&e_wkLO8S5Ep2&0$e4_NPB<X(;O^9?I+#y-aLE>{P4I?%1
zQVvTM`F!Ai3VZjxh6N3Z(#iU6qR^!;2Nv7Rc!I>+<P}mwVI^5%A9B89suRqEVV6xe
z_LBboHC+027M`j2J^K%47!DD!gqPGF>yh<f!J|ixT5#8i6xq$V{yw?91v)VQMbpS_
z@K1fGg9`BTtuNY`Vg7fsx0K*-PtJ;S!uoa5%7@^psI?|;c+<sQp-14r=t5DlKK%Zy
zQ2PL!Ib+m7?(f-)^3k&J$|VLNDcIphi;*~ND*a#G0k|Q(YgigKv*7k2>%(7um(%yb
zYN>B|$$lJP#NWUB;eTgcyvXxfn{YEv5Z=bLg^N7zcFmNl!m!cd_wHu!Q<k7IKKQBG
z8TNDVLS5tu(*FMBm(Nach6@8DFKl_w%K0jM(}CmpUU=n08=pTM>k)N<3)bzv^dSJ2
z(hyQ6@ubR!&15_c8hS`c;`P=7*T{Za5v@%39{BRW34b!)3(LnOal)S4`}UIgLes7J
zJwLooQ5D(+2igh-a>H65PVWB&SI)TqNBZZ$yf2!}|1s(14y1o;&gBQm{NLzY`BN13
z_EudGgKJq99+Uo5`u>QQfJavylgatE(J0(TKHoHZr76h(PU(>ju!MEv?hYHm)Pg--
z<nu~59!uL=!_8rVvFBk<%jw(;a2Ut_zvT71xgSfq!lFIZndI|nTYW8WT!W=^?KV5Z
zHF7c~-Y_$B_IXG6&4u-izVJ`ElV#-da;yJZkKchOMx!`f;3r*f-$P(orEg#S;bJzu
zo%i82>FuJoU_-gKf3Yyf$i%@oIAH9J%oBLqcE0FG@TAQH-)C^HNyS7Ge6{zL;$v7z
zF)ZpS%&H-M={dZ^iDKa$eC@W1U?S`=(GdRu=9%15@)SNgwOQ{Q{3ne0Mm(%J)-v@S
zR#E8MmJG8$q<cOBJ1ccJ#K1r3+SSHjDuwEur2Pv@*C(^^uv^7<(*N+^M^xtFsrVGW
zXqZR$d%`*#w)t^i7%Y{Xq)5e${bwVeeUWgG`;oXUu;ITeV?l7a%=(e7@F7P-S@Jx0
z-AssPfhCod=WfHY8E55o!v4Sbl*swyJ--~q3-2DKqaf$|;Y!hgJ#c&On5G}BE^s<r
z6lR-hr1gS3_wA6}4@>-dWk{}<NzLmJS-940iRm<~R3i3P1!msgU~UShP&6^>zyl|@
znjeL4rkE!f!@{a6x7A?o>$6nXVYPND6-8L!?)?{Da5Jy2y$1ZCcrSed?Bud8tPG1;
zS7#@|SKMw>llZmLtdc^Q-bA#9j3=BE+UJVl6fSo;GXAXdyK@h~Y2#ZLj>8RWELFc@
z4#j95J@}}8j35mUz7M2<r-$?>qw-+g7I^RVlFcXJGgtB?_Q4Gw<UW%3yX<wUWk1Z=
zw3wm~Oa2x6r4IAwIG!hQi#rYeT5yCUR~vag9>;ecbA!28d>@kjZ2#sn=nhAQS-6lm
zQ<whV2>9r5p(Kf?Jez)aA0A*xJYxhesGV8PgJXn-car{UyjV^wfNM_vnmYxz?f97S
z6*gSvEzpHkS1;){!<`hoS|{QD7qJxmums&1T5b3{?V*%G(%#54k@SDt89U=S_*_+}
zIqCmxIhw@<_<88PR5G5c`9C>H$&2w-wCJJ=9Md5GZv$M%Rg|L&>j$^#(ZhPvznsYU
z?sLp}dK>(X?$=v#J*1pywAtWArVZE0_<s0d@;Ezu%ZTzF8Q+H`4yp6O7bAK6$awR<
z`pd{(cy)=ho{aBTn=Yw{!T0QBL&*5Pr)hCe9Nxbo)hY?s>OWMJgKgAIPm=L+?M_a>
zQTW$>!vr!uDg|nHtHQUpSecRWv7)r~mIl1SapnaX4>#_++HnHbP_)~_1eY{>@fef#
zFV0@x0Y9$V>3I&0m$&@02^L*rDL)V2SvVm>1E)LYvpK?6RBCyPyYc=CspePVDQ4-_
zWtdG&y}%Q`9m#QH9OjM|UG{-f=Qn(qgxjeaPThqKhH5A~V6S`h@)7W}rVQ;)*g7aT
zItEr&bglgYe{8?jkpNTpo@8!>wG25Aynv5cY>ldd1>{<<XTa98!yVPIinMq0Yj_|Y
zTeGlvRf}6b{LbWYe>v<U=G{;Rdoe0ny@FS7@iAA!&-SqX_Zoid_}Q@@?$gf{dJf+*
zvdL|PRSJDwQsM8FjC4QX{0*v-$#C-t)2yFx`F*w<PhknM&C~;MB-8gp@o=@UPWo?H
zsW$y~0xayYKs5>5d0#vh4eR_m@?sh;HkG{>0~aR^uPwrI%Hvv*u#=nc(-l}zJ)-*|
z+#+-P)Yjd&pTZRq!{F3A@8%d_`tN-b_hGilT^YPE#jTLZ5O{OR8J#`wfEM+aD0u1O
zxij)`_pRrlB%W0Acv%4!{gM(%`s*yH;_L}KsEO)7fQ6I;7`@?J#?qGL{EjsJbP(l3
zJyUS#X&oFM5Kt=wf3FJoORk?(hvp;vFo{y(e%%8D@Uq+Q8Cy6|HRtOBe6yR5;|;vH
zJA#n{_tS}!k3DkX9$tR-?Jy;m%jh52w1(A;4Q9DJr#=F!PmLZT_cQCsh*MO1P#@mW
ze}mlb-sAMI*AcIdmiS2Kf0d#8bTo*+xi3sZo}aKLI=fA9xJYAyG~C<3%*hJpHGl3t
z3?E#)<H-zv8Q~Wu<8|2zP0KELul*heGJeip^N?VNx9I!jlksxLm-*n`aCn;UJQ;sP
zqOFFwVO7&UWioyaD*jRugeOCKZ=1m1j8&8N!Z+wN8_vMOM(^hL!5TX>w_Cw8#e7C0
zaJF^6>3O(=J}FxYj#DW}u!nC}Ez(KA9TtK^j-<Vf>qR-ZbEmMd8|-Lb_f7_;8D=fN
z4iA<WT~mYEbvP+*!8%lQEh;emdaRZ|tdWbKIf6xxB;O<J-CHVOf;Hi;gU@$|!_ygW
z<V|5Jp6v5vK4!eR9A^U8+RA2=`P^UT@{9#MEvP(|1Ya`FIdK+tI(arQ1ukj~-{1sC
zl{(a9z}F?~EgfL}#C66jSZ7AA*cHCqv+dLyxcS)?wySV^XSZ|-yiA+7Cj{<Kn7#H6
zHXiN2br<ga-ECA0Ys7PfJ%NAiU5;slul%Pzng}<Ptb4S>?9Z>y6~N^le8t`H^5A2`
zH}Hy?a{M5yD)`>w3)~ZJ-#G@i#{DX-gKKM2N@w7VJruS5aI$a9+7gL>WD)3v&jy@(
zxDGF>Hh!OmS%#v%k$j~}=$FhS+~*_WNC#UnKN?<#J?~j%Gr`3&PgGZ7w?gXUY;awu
z!NS(PsNXpsyF>D!+;Jl#I@sD^R};yXjwEJgGsCgH#>_%+sct46BkUG+;G75?eS-2L
zJM6G{<%uNxpZ-b}E1d3O_(vN4{6c>h4;(#kRrWO8(!BJCy#B(?3x1~X4@C`C4tR`)
zQsW9-5cS)P2^L{pyYE6QEs;;+t13}vg5c{Z8TBNd^da^+$u}=~P3_$UQ{;a79R({t
zE%Dn4Z>MaNd<a|AuXpgmv(=m2Nd8)@^zk4!?AFIxkq9%E(?kit?cN%cFJNl_y74`*
z%1QT_bofx9_LBoJN6ddeUcq5O)T@$kP&Rc5$+v}-t7x?0`YS4{<#39d`$Y|S?~kJH
z53rY;;8iQQdFKi*$?vy*Z~Jl%UWhd<Y=Y@usNHgg8Sr~=-{D{Clbw$6<;SW&d*GGq
z$l*YEjOsqu5Zve|rFt8_n!@nr4?Hp)JO2PS$hVmL3r{Q^I28qd@R9z$2yd$WXpsTa
zZwuid^^fT-=A~)yv#$cVo8T$Bw@z<iRa(CpdU*MsdVM}TWFZ>D2uCg?-TVl5s|0`E
z3Fo~P>Zpb@#Ffu;!R_HU?zO_RWzSyhh3UfAhnrxF9GMm|_)2V??hL#${0R%G57ED6
z$(VwV2A@+=fFshMZe!xd^ZK?qP!;wXVR2x9+x-=6b>Pc#*W86*2l1i|LwGW+ubCef
z(kM|r4c}Sg43vd8Cm#y1fJZX}dZl4*o>m(hIK!%SOb0ffIh}qP4pEfR)PfZyyp&vE
zIq{3jrf_*S)oo9BT)WcbG(3ghb?|{(U;Lr9gEKSA%mZN~N@W`xSVHBo;yt+Su-8>z
znEL7F)d2X>Rv{LDxL8N?VKBT&LAT~UEI^ZG;15fOE!s!JO{>$xq&|52A~#nm{DD<3
zmDC6MBx@^Q!k3JrkCMM<lsoQH1h;%1S@MQ07ay^f!VwR`)JS`M^K|F;aLVDX4cB2~
z#uLmn@KKRl`d;wAL2Jja@C;==y(>IRO})Jt{<oj;xd%Krx9?paOmX3q)fHGP`s>9(
z*yibcCOJRxIeq2h@MdaRdk1*B*xz~zR=E5<pPbJnwMQiju+s)6S8~2pDx@uzVb}Y4
z<+d<Ynflue0vONs>^fu$PY!sl)4)e*iUQ2xZ|5UUGr~svIWrP);Bu?jZa9olL6OuC
z6%I|^5r(5WqTR{;*2jDCsw5nu!TpX0=AZPhI|Sz)bu6HQ{cozCJ`OjW`9n$W@2o#I
zxjL}Qp{;48epVb7<$M9Y)a&+_JfGpiC7&GOh%5hogu=`fiG6->fQJTuIJ`9X^+*V8
z#L1BC3!6#^_(#CsJ<g5#!6!z}{EUG;0@*IO!q*B?b|=EuWX|VYgFU9cd%b{@CJs3|
z!OAX+Trc6qj{${byj$TC_jm=Xy)t&QgU`_Ga^%5JUp=XCfZK#`yOzLKb(g&_z*PZB
ztmW|V-+~%aA6sN@bN&dA%KHXbz%D<>nQGzau$r${@TJbZj!p14>d<>+ymi=qgrOCF
zcB{GF92U6kV%rJ7_@Qe+>S>pEKg#Zf3sa*KNWD#(<tz0l>=LMXMiai~+nF&2$9dg*
zt_@QTvTXbZ2jwMq$iS_)M8{X)S)opTQjaTkzofQF5YKPP{$yd8_3OoZTi}U+OQWJN
zom$Eu6WrvRd7cYSl#CYL37<{u&E|oh2)73C!p|t!g&1Memqm5_uz-t}D>Lk{duh*p
z_^t5f^i|A<U)780WnsQulCxxflrUJmr~rH3XciuYt^OqIslgdzb8ck5WeOZj(}OP=
zuh@KrlMD_^pMm$dvb}DCzlGesX9aU}v!0BEDfb>!^@PjZcTkh{NtxBapDVCu#E>t^
z-#PsbO1i_E_r?$0gg0*JYsU}kDT&V*Pm_AfW`;m7(tfGJD%BM>7!ccS3mdN2Ta)#a
zfWqf$dw55}Pd2jN`ex&5Zw=3W&51OF_c5pBT!MSI*Qk>9+pb&c#ul*aCP^xiZ$57R
zzCikWl2x~m<d+NgZzPlB`TB-eg5>X+5>W%^;1;{%g9@;*jAW=WTw=dQM-QJH@LwVQ
zX&m}!ybX@m95uQMJGHuhUB`O)`<3!|a(uqek8n^SK4~mC>jTd&cHN&rTy*=STmUg=
za@RkY$K%ZXd+;EB?s@_~H1YO81T64AV_*s%|F|bS26pU|Iok*Gj{ay)fc<>`rjhk}
zmWtZG7jTo3)P*ki?PNkj8qB$ABD)8sFQFBB1zXJtIedp%TF%zJhI@MZ^E+VC?e%*~
z;2j${Tv}kshnyeF;BuDM(l&UDN(j$K_?OKl&jy%Q`bX6#`1O<WYLefj8mjMVf`!sp
z<ln*eww)H=;3v}ccizJTv^quI@Wk-cu`>9@{`+RV@a=>bVHNPOGFAQvoaOgX^DP|L
ztZFg_o11$*EQX(%6ug>+D??t<XTn)o2mUR>^M#fs*>H4TsveaP{-1=>ojDC2z1};u
z5x!!?e=Z$PnljYF4@W9}(?0$!9{!nwf60J@|4#BI!cH#_40FK84JhNn;q`@w`*>j!
zt@M79&s}lZaz_YG7tKr#h8GUV3W>sn+J>W{uq<z;pENAzqHBE<&i}FWK@JWdn9B5p
z8&zF+l;O9+!?xGqYWe6Y6?pkwNS+s*&9QZt4$Pi=S=14pkk_&>fFly<-JRgV$JKAo
zz&BMFBrn11AG=J=;TDre-ga<&jLDk|u+3KMSyR}B@AiTn+<q0`Mg<SMt{J$%?mnGM
zMzC88!>k)zO6#tA8ZLbls(TY&R5hS9fT^wHCw<}V3nSWwFkcL-W)RHV`mp*q+-)Tq
z76way7v820|71)59Su`lU#wMxHP~{3V&V2@VLOh&Y>HxiPvBYA-S?zn8W#zHR5<rt
z?l&2@kmHqaHk|q8pq?PC-<?{W2Omv%A1e&^Q44XE!W{Z@^~^9ABh`lYuz$QaD=QpR
z7ij(&woIl=D&)oImtML(oPdAt%`nV|$3*)N|As^B(^n(mh-XgcXW+4Gr}M&LN`-dX
zKQP~B>vsyUW0T1;wJ_$-R>|w~@I%ozPuCH@$aH+QiwDogGFR(v#2-5AtN(&8Sbr50
zf%oq?a>omHX`))!gMF<{<gdd$@yA}M!E8FWh0Wl=8!v<n;46PJdrrf>j=#QYz_-Hv
z7**h7Qj~coNIX5iMhUhxl{-V?mlkg=iohaLGV&z86j6~Q1Peyl_Nl{CVSc?#@ZlTE
zAM|0T<hq#c@E*pi4kWIkb-Q+n8|%ld0(vAa_5GXg0(`E+V3zc6Q<3i62;6*^PF4qI
z8Go5M1lz?Q=v0B%22OQ1!H%h!<=XI<hs6)S!W>gg7fAfonh;$TthH*LO8T2}>QPlW
z{O(?$juM<5FEjHJHhGDEnT72fv(i&xD(9Y7Mfkau%FjsnWx`wm>90i2hp2EkBA)Rq
ziSNJ6Pjd_QX0}c`4i8x7l;4E)O}viF!?Zp0GR|<@p5j1dc;tH0A4fPL>#OJ?_(b8N
z)j7E2%bKGCY&w5`r#XBpk&#&z=AZi$t_vSxlsI(+KHYgwRU2LxP+F2A?GF`E9ETrt
zeu|fYO`dLcQiSj982r5#X3CKjmV-rUZSM-gEfW1bGVobZH!&VKntjLP{qT#+f4`9X
zC;07k8WGsNd@~0ly!B*OH6Prm=v&MTZ@SAP$qgG*L~PywpJ*}}V}<)FDbqH=5(({R
znBZ;G^fR-#KUHIxS?J(TQ=SjzVV)=Uhc?2_|NH~H;n%yfW>>gyzwwXo_rj@O-0XAk
z`x_%{pWwItms%&_)lQAKb+C=-%)$_SC_pJA7oIOV_U0F?#2Tmd2BvyF{QU<!wk=5h
zG0a$_@UR(fZ~D=h2(xcne_Ibza#l73z-j4bZtvj^20G`vuzrcyi4s_I`R8UEc>eVR
zx;OA!MxHcV;>yUO40v#^S3w=l-9eF(0@Fxv^=QI6Ob2CS;o<T!PBLDn#Jrx4gs;+1
zmGZ#_lEQ(3@X`kFr3K6v_lI98`M^vzFXETsyCP$Y4sf$;b?sZ&_(4$q1vsbTmmQf8
zbz20ZwP7dsb0K8?u+gda#Bn&u&ryV|H*9O12j$={{^Uz?u)qVEr;@O&+H>k7aEEY;
zj}XjOK9$4{?=x^Yyc=GioKWC|tDYTB=Y;>bg@@3=qh4DtvcR<qfg;=B@^k$y+hN_#
z-R`ScFIEl}MbN_1PncOL5Py3%acv`PJey%PiFj;`NAW5r_CppPQT~OqxF@eJ!&}oW
z(?(#H19f7v@S$aOb+SG+3Q-%JhS?~$kN3m6H~8?m7VL*V{d?~>{Q61C>0#Jw<*igV
zEPwgdj$T;c&!gsF@U|1-w>#kn**x5h@VzfiifyoE*L+zsJQcD$*9>>47N4(!w+wW?
zu804;3)}DozH`ONz81cBOE3LBtn%W7z&m(En@h6>W;XVXE`v*2;~y5l%||X86u@e~
z&L1d(xh$z@-@v~A@ph2>AZYi<`%Ktm)1W8G4?1^*dS}2D{7-oPgBNmL<Wk_#FBTP9
zu$~+H)DzfGh5aJQKX#8(X2!u3hg&z2{KMTR>wFB{u<>3-GQ6qf5l<wXta(i98GK4w
zy*&(0wOg2sgP)(5d~gT;ypkS~0FT`NtrY+>xSW%D2s_k0^>KnrMNM~*_$5~>Sw~o)
zV@vS^xH&Q}Q3?L9FwP?dHXZ64JO*DrJK03~zyFIZyBI9g7W9f7Ut2<yl{l<U)4Qb<
zj{HyJ2QTbB)~i_szpXXey$7C8I`W+4J1*)&u{&Uo?GpVBFvA-f{GTc6d&feLw!<Ay
zw0BU#?RCAodSIP9Hs%{(>JUZuA$V%yd&}%D+z$=R`Q-k2#W%HU9$uw)Wgz*@SLcoT
zz3@wexc}!j;+!lo{qQZWWp$F@WIEe!YlD3c<lG_ojg0*@<90aHm#LTJHz90h!By~g
zUz!RI*eArQsT$Tl?ZmzZE}P!BF&jQvsWvYHFLdtHc?B~I<QPc9qA~i_Pf7bz;*sQe
zG-}kQdk$M4iW^meGh&91hQniK%AYjg5smJ^NcdPo7M}rJKi<3I2QPiuYDL!jtz#|6
z1K?*BH%dr8z_;U=hZDRbVJ6lF-V!QSaRpxBxG>`c2XQdTTEp-Eq)58KEIo@iFTk@S
zEcd)&g|5a~BbZuUv(68;ntUUF8ou+sbZ-bOYVMP#34hJ%w<hcV){=9}+Hicv=`ynZ
zKbTrpa2!@Iyks5^>k22XslnIzy9%Dc8*KEi$-(VTe`m@1KUh|@>@aL(Zl_Py|KEaq
zu1mv|an2KD{a@~Vrcws}J^x#SjCV4@v$BG)<kQhRmGHH?dLLo<yzlv5vfhsmU_Q(T
zul%vRRS%1gjQH(^V~%umw7^3x`;KzKyO`QM$@>4R8C4(;%+;dTO4k1?vEIwu;ia4-
zOam~Nlb#AQtTk2ONY?vdm4Rz?aKhY6x=DEEt+CoR_{___HuG?S(Xht?2kL+H!^hTP
z_7ATsmf!|$n?!1i_X73Km%hQ4Wo3ms;DnGoo>rLc(BZT6aFC5|O%6O_A?d*mo9aFF
z&4L#f(>NL7XxWX9k+9b3@R(h2=9P<k!{KypilfZ1DEFJ~S7FhOFAKTg*bKf}CwOvh
z$60(PPKm<9VCgh`$7e*2#Dje6UK_&^|DEh6{jsB;>Q{o_9N$pP2{T8zCMduxnYI=r
z{-HbKix6CF{O>S{C-iXL5rA(m82=*ge`7+Ta66pzrlN%O@3up&^ES9MlFN$3M~<{S
zSzyQKNzPfzllXoa_cL=a&$ZHClJ9udxQG0L7Y(~gNxnmQbgxP`eCma?HHj~e(Tx_t
z(G)eFJaBPn?XyBy<0=~u8@!9*h>Sb@I%X|<Km301y!Umu=4m1AL0Erk@RAwam?`5=
z@|}>2n{v*=yA1wzlKI;2O>mDotoK2zkmNUINzVkdV4=A&MpIZQSt;QNoa3`m&jOxq
zHR?YK`|khn@)9h4_djMK_?2O!zcXAfS!^l-Z;O1;<pI<19BSMJzwQrVC;1F5%W*bt
zm?~M{EfBtWHUAz1Z0~*eRS5j;b!iJDoK-+U_W<_v;nmy#f8y#<Bl!y#-QLJe@Y=W3
zrzC$FRQ1|4zZ2J|=6cr)_&t}G&LZ5qt}I9L7dycV-u>{K$^pg#IMMZN^&o5>_{y;y
zUXOn$*AD9{S--4?)ulpwf53yc#W#@rrTA0cY#n^?Q>#J~yyd?aN4~%nAt`Y`;M=dN
zUX{aEr{&wodak}JXC7akU->PLUSbGVJz4Jf8ZMoRbr^#^>R#r(fp_QHf1HI!veJc8
zVX3H5$|d;kl}P88aA0GZIThBEhSj$R;^0?@B=Lp*xE@V5q6zTi{H7TO*y+B`lQ4Mi
zsN;SXnBtG<Py}ows1nQt^Y7Yd?g#rmOMK4<TbK7dyA8*myT&65pF5kub`8$5t~Ql`
z<+T0JdBBB<3Hfp`<r&2mTR2Iid+I1`7sbrs0EZ8})h77~la6ESdH6qNqY;un>`GPK
zWdl=RmN-uGsX_n22ouu&l%=mRd{Hp}+ZniZO}^tC9H2=RbrL=p+~{Ei$1*gvpMuAp
zXEocw^;Ycnb>RcC3RfKAE1E;!_2HBJob_&SZoS9@4cN~w!`1^HXr2F|1#i6-RP77z
zzbpGt1?E=WVdW41$))<K3UlQDEeU}SKa`JFfNA<~oC$;d`P=wN`!BSI7?R*9OX{v8
zFk5zI<`Z~lP0JqAe&9kfbvn!`McFM&UhlH^#eeXg;?H{z!5Z-!DBi&AM*q4cVb$$-
z5)0tRYZd$l;D6~C7s_Gp+Www>a81x)bQSFOFiSuj{`26&R4uF!@%fh^9QpHD_-DA=
z($a~vFOb`CybG3m;~~Tkznt^w?Sa1)D?5|+SsE7d!!VV?DPdmN$@%+_QJBew>k1z{
zCRKD`24-Xz71;&5y%TT#2M1fvT;YQ4=C_Nj!KYPML|Ea{$$&Zv5xhTh*jo-b@`?H_
zMwnhd+=UqyVkqX?0kgCk7qP(fp^vX~!W$J0UAMv3)^w~qu)`on@piaUfBcFd%zBH-
zjTY{RFx@5s+tNIvB<=6za=$+e>n=x?Y=-+Ug;*VhWxCE#k@klZ97|Q<n)TzQl(2S5
z+Zhd*VZBw8wEt@#&u|8Q@A-DaIvesM3aTtKcz4V#Ez&;v#sKvN*hAT3;}YW0o|-Rg
z;N-%|s5Mx%aGRM2yjt{8dmi=@by@I)-!nzrUxdGnpEC4^-yFBn`3o1<<xd5`X_9|`
z%)x$-Zlp%TcS=ehOu~;wI#goe9R0wKX_#`REa?f%K&$<56h^^GJ_Ua3*twguPp9df
z&V#3J#{V3GV-Cwl6u@6u_S=oYj}@s@Yv2Z-0lq=_^^jR#Evzb_G5-f%2;4B!2dgv8
zz8Zila?K+LVX1cM&*N}>P~Y-qQRK_E&4Is(RpsMoVKYmCr{w)PACztsg<azcO^0FY
zUe;$~uwZ7-26B8<mfF=8@X4;TWfO3==}Sv%SZY`{LLKK<mp)SV<vx7AJ4x`H9&E5m
z8}|bK;%<J)8}6qa&CwCV{q$3cmyACG`vP_K;n7N$XTk8>k2rGJJW9;WALgix+LZ`<
z_nnm_@u<cu(E^x7V%sPg-}v?PYTv@z73!5i@O^sQA5HLN@c4BSKfjH}qZLjZNPZLo
z+mtr;{)2N3<@CvTsC(k7?*g2v6T(m83y%UK826)IB)7AhygyIQUa=kUZ)evx<o%~p
zWR8l#7rxIqlDL6VTZcFt>fg6~2acUN5UB+3Q9Ad=7dG15BBlZ>P=5>|aU0Rzqvo)>
z@<A06KmX3>=Q)^B{UtkzS4D^X@qisxw>A5~ORofjy<indS}W4ul7-s}p|F>{Eju}%
zIw3rrVes+h!Aa5|nQ)=8RQU0k!!K{Zo1Rw(r^CME@&|9hlJwk)#c)_{@Z@#)bZlW~
zDTz-qe<b}``dl{F279O*`;fRrmvP8<*g13L6p25mG>xBz58T?lmBbGj%^aMC4U(i1
zNPo_p)EeI?j{N7N^(k_F_0RT(P{Ye5RH7svaJ4U<7jCo=>UV=nDLm!&z#84kE}n2K
zcf+_e?E1|@#0BQudp=YazF|&JN#cQaR*&^znns?YtFY$GKe>~zTXb6l=}*wmw1xw$
z8qlpy;$i;+e_w_NePnIC;Adk31`+TugA}(b+;y*HA_{(ZjN%{p`zPpf*D~NodefQY
z{XdJVCS<`zKke$t`P>}RwfQS76|8%k^#6mB%kw5U*0AI0O?Y<4CWaZ9Gv(D8cX<A6
zeC9v6gg%=(02a!$|12nh?`P1yT0zdo^%N?55qRq@9?n=eU%)9n9JY1#xsVJm+^MCz
z2M7Mhx=q#x9cv=)S+J`#>*pMp-p}WI27H}4CZz!8rdJrQhO5^$jg`SF<sn*C@R7F4
z8}DGpnVj_|_{nwY_qA|T|D4rVSe>)~aU(o3pL%r|rZF%dAnT(cwxO0mc>0vATPNJQ
zN*O!{*C^+e_QU07@_%MvvA%enVYn;*<dcn(m~Zaxik^gX4enA=!8_h>=bwfD@x&D}
z!5eo+UtWe^F4nMbhu<y5tggdb<=Yx~;UWfJHEOK)Vhz_MxM96J65r_HZCj{+?}s%E
zOSze0dkYbbeefOIu{m~FJ3q%n75@CuM{zf-eE4(GF*xO5EgM;{+Ky_}n!$$ztu4jj
z{-krFXJEzcc4rh}HHqTq58%)_=4WcK=Fj(=qu}u3%>oW^!qcfNRw+E6NB4J~hdF=F
zX|u!c`d!;yVQGu0_l7WoXJEJ^Ol7iUZ4CDhJ-9^Taixb{oZ-9w;<-uu>LL7&D(sl?
zdfo+|(DUaBg;gbTvdQ~3p9n1rgN;NR?~=GWYt83W5*L1_K;lw~U+vT3So<+H63=0x
z^?C>2{?*c855MGQ-1z~1IGSYP437%+er|)ezV>0Yg`@u)vi}Y*hv!c^!IP)By{6$K
z4I!zQ;AHc?J7-}QrE>>Ke}jVme%>gJ|MzGVowxx1rk=N_hOgeB^tFSx_PyuX312%~
zBV!FSx7U<$z{^U>A8la2bI~rMu#Vf=n-;J{-J|XM;k3wu+sNM=T08$i0hVH!cyA6L
z>^*;88Md~sGqQpet0i`xgxQrm=}lodPVs_M@U8}v#B=b2|Ca49!V|M=h9<DsjRhK8
zxVofgfaF8J3*VPrhf}0|AD@D`*DB0zz&g^_`_90JheNmDgN0TW`wU>F7lGN~@Y4f5
zuEy|vd4u!Gu)UtMh(5gOiYDbVxUj;w#1Ni&v!mcOY$nokRR^ZBpgWZhd$xX}B7g6K
z!8e+Z@Nk4?ktR&%QlI(>=0BT#{{+l<eJQ^e){NMzN#Z43lZFHE&8Ms#y0C-vTbh3)
zzBe$E+@I<C|E12uWnpu6BwiZQp1=J7saKowlK7Hnogp)P?_k>^>CZ6Rto1%vHf{ea
zRai{nH-$LNHhi#I4_@2nY<~j&Hgh|O<cImct!NBkF2AQ4q<``!2d}!p_}rEy>ED&)
z?+hMrH5JqClkms8#-6b-hnmVEZP?pZi|sKiemU5TobS>v?{1aCTXeD*Nq<+A3%M)c
z&`Rn9<ov4b6$$zU7arywCH-OC$0N`WFR$FAKMnhY-iz2MgXf>=(L2(gP62;0YS`yz
zx!C{jmuttSC18Wx!hZ68d9M#eNW+$?%@OzEv-{t(u*jmG&?(Rn2cNj~%7Y1Jwba<1
z2`|TVXd1!qopT-XV8Q(2|4zbTyw|>$!;MrcPTp{>=P2JtctO0S(GxaG|GoMdzTp$x
zb02>9$XcTn9{herITB`*^4#+iruCyfkq+nOEnn_~(`lM=Q(@yv927%v+zUmULfH1%
z6RioD%WlJ`H*oy&=gz;dq331q4>0$XvEUM%dtJ2q9eiin<;n_d5Ohwi9xi;pTD$@E
z2<>LJ_)qY70{6zvu+c%y*+%%2UWVRQxTk*Ar~&@_a{d=1y!zaHOAow%$6Zl&_|!Ez
z$4*%IQJ&i__}qxx#{qcrFO>>D`1r<t!9KW4?ivk0ob_d!|0sOQYO~=!m`D0e{}9X&
zC7-Y#9yRDbIt8=GHvE=>M<{)h$KjBtYMzH-Q@yW-Yw$0t&T3_N`(gY1WjNso_txWZ
z{-sEUjR$ePJKmUR!&8X@S1Dn!(B&t(@F=f#JuUo@=E0v+aN5((eblgAWcL9R_@C$c
z9R`?p%-#1KETwvHm>#ass`+FI*STaJV<GWCOJ-X*I7sF>6I@=LZ*C7e(HX6Az|k%G
zX{7#??(p4WCoJ<TeaaPXQ<*E`g?-wOAGraCO}OpihWScT0&c=<yP~cMz&|1tzXrgf
zjCAdL;6Uw^op<5x2mF%%<LJKQx%&P%fG0)B$fi<4NwPA^CS(;dQW+U3v&@XX_DUfu
zGNM65g=`|(Ba%&4iDXMw==Zw6KcA2H`}4W?o_p@S=Y7s+@Wapk$ypHdT|u3R(Z^xq
zsLUK<KFl@y-Hb3i#HF$t4@Ze{Ul4>pFCGa?hRK$7cFMz6GPPaL;diAK7BcWlkJB6(
zuwYupdu2H8`M^zLzD+Y%;?P<6cad&BF(3DDTHQkf7Oh&@EP_K+at2i4w1>-)<*;3A
zTf}8}LMLh9BkXL>w_pJOr9I4D2dCtmQ8$I}zin`6g{i|IW*fmFJzq&W;5NZ*Q+t?E
zFjTV-&ePcZU<2<;V0|<IE4?7!?+mxM)sBwAp_F=eZ^O?u7M&+x%4RDeKiEv_Y2_?j
zWcxbG8?HAU)LDX`q?9X1!p?gllh@%K&&`YnaBx?T;5Pi5gY0Sw%po4(xf}DDh7t-D
ziE!<rL@ha-LZ`(191aj(prM8JoIUTP!OVJE&xrX^R?)jB^57y(s#$jU;Fp{SZ(tP`
zcVA+Dm2>wi`6{@kQKIE2Y&YEXv;uaJ$~QRyrw4q}|3t*oU9&{sQwd8&&G1mc>EEL8
z(BceTC#<x!DI*Q%YEwIXhChF=4UvV7{_Sq<gH<WRz9_@anVctkVD(0W1FG<m9M+Iw
zxT*EP4K3I+Rq*E^9JpM)p$iWbuqDsHb$R!dufo^9^KDJRLHjKujbWNU2QMwbwM7C0
z#C-WDd%lu+c<&k&_YK&wYd`%OtmxS5K+M0}#dA6TftkZfONjaRUAhdPw%}wb?F&9|
zSv^xEkzYY3nLy0vA8y<^wc|AAm*jST4}}NZx74-~&ma5Ee;*cX|M{E@@uAhKJJCdb
z^YE@+Ft^jY>R9-aYop0tSis76Z!+v&R$4^?)0MazJb`1&p0d%ytM^o%ro$6z5uUWL
z+q<*VFX10gT)J4`-OMAtMX+SH{39ZNZ1H<@2|TOJy}%Cp`R6fxfagDw>afE9#L7)S
z!fyFLULA(NG8z2&3?EO7x7!bwdEJofgs-%_)pNl|5ANt5gQ>S!LOEb_F}6eF@Sywh
z*il$6;cdYZ95omCoD&{2|GZ7C=PbW5**XrpIwz@Z!Y{5JHaP~@F;&NG!!53B#e(pe
zKL*FCu^!Y^@8H1)Ppbtw)54ydN}VFG_b(O-4){)KR_sYQYEe^{SdYrQe0NR^o=jtY
zatwA&=G8g{7yD@cJPsR0t!GNX=E>jxI}JbDrEDV(C!FMIl!WJH8ER$WiNra2Vm<8g
zt$c22c#KrcSP3@S_V!kSb1wXQsR4g;XB$y~Z%3*xorhzL#!sumCB;lK`mhM6=i_tm
z;u_TfBbaWbGvgZk=iQK%1$<({oZJNVh*I9=4!h1P3ueK(N3WFLhK28aXv>E0{@(rF
z1LpRr75fCU9;Qxkg2Ud*b+^M|=dau$;@5BaeESLe&lvC%@gv7J{HEcVb7!jE;3gUm
zu}ygKlz`hUI8b(}Ya4E74b>;&8DfIpSkB<{9&S#QM7(U~r5`(7p=q4z3~Q`&i=BYm
zSLO7G^~6iO$z3PmYt$#Fi2Zf@&KfEUtL@(N#2WSri#VnL=UiD8A=V=WmMI5yV58LL
zNh|m`gO8^kENiPMLgee(%XAsRk9+AR&ET=+H_oPTRo;%fME=0<6UT1D4K@uzrm*qv
zq<SZ~Ah5KKXwS7YR?h(VYM8qx(cadqA#A}g-MAes@qTYzNIyM-mBqPhFT*sJx9uLo
zHSO$|P2e53W)8iA-5i>!FTt8Um#T8$@^dxMuEGnEolfuJArae4dhm%`GV~wdNe!zR
zLpY?jr0z3p9YFR}2hJ4Wyxs}Z3kOc?!cu!iDhJ^m4-chj!e1MdOorjOll#Sp{Hi+q
z1OwdA_hw2BR^H;yTZD5P`9+ER6wdFI8?anb`A?!hKB-oEwFzsyFaD3nXV<Sbrk2F@
z|5a9m=)c=`oLjUo56%0#L_XKo5d&6OKu=Cs2KF+NSz(8tW>$E~!BldaT3qlllcW%F
zee@l>G|vMUJt*=du8+_EF{=r{=Q#xhPr<b94nKupqq0{XVz5(!fZ`cg*o{L#06u&%
za7+rmC;Zr52%e8nl2U>>HeALyVQ&6O4>j0*bNU1~TsxiFsRN5p=#3tLHQN6;>A?*r
zoB0mG20KeyjbOHfh!{Hf_-|Dzb2yHaWSAb_o3;144P4Ge_m{Z8bPRq{bb=MtGjcbG
z`^zfXlr<dt$$)JJzG?1!>=vw<x!g7d7uRHcvVz@ao=FVCF3!96+QHYnRA>9(L+oer
zE#R!XsZTp#rkmGvh<vkgwM*@=heh<NF?>6HwTigEMoo8$5%~tyS+13^89(XQD{#`D
z%;-!w`-e&?vHz?EmZ}+WqLGs+5&sopb;}>m^XPzk0yS`{Z#<7LJh64Js|?;y$;i42
z&m^_ZG{6%flcty9S%HS=D!6xhKu{WHWYpf<4D;q3pEv{mYg5jzhMxuA&?m;{Hz{2Y
zj=`rwSDuW+Ji8v;nS#qw3&?t4w}Ef(=3xGxa@u`xg27+vRrtvPwp|@?uKtmnb@*4%
z^Yfjskg^onPAQB}#_o_1^}=+v>5E-(ye)}F8;twU_FnkZ+~;kgzBo9Pm`n@vKEABl
z1Ydnuu)+d&D{^mE!&+0FvFz|;njGa?ctK=t?g)Hg#Bsd>cKb{j&I5mKSyQYc9L_U&
z5{|1WT_M&Jqod`5gy18C4flxr;!Cb)6yS=3elmryeP?*@S-4nrPY978Gngr?39IB+
zNan(Wm6h!mV3KXcz<k(Ba^UzS*e7C1A{#y(G}~|)UfH<g_ZsGPp*Ug=TjU=R%YXxq
zvVX9IUpAd=d<7?IU377U>svm1JtyMsX7uiGl$$|aI{YgCKRaJIJayUq3Cw;rj4}YG
zu=V(u24^m0Sl)++%IMvQ`Y!2b?#>8!*ULv$NpK8Bo6#fq^}!R)u`ro+_eKINC3=dC
z$UnV8`!);CDpj`+gCA|MOuvDv$XkmZz&)<w%EfT)l8#LfTtp@Qy%fG<_T^m&Y_*{$
z^ATnU{le}6`<&PCXn@J3v@E^g=asgd?XYa2LW>>j9Hmd&4V&kbF%t7LltFi_hhTos
zRIh8WZ?9hZH`uw5v5uHe2|Mrp?-$H$r#GSr^HTHoFTww4YIuqHh)l+dr~blz`&3qh
z;S|sJuXamgerEJrjv#zoB1U@)@wH$bPkOj^qN;%$@$%ZgLUiy%%R~Erh?9=z#FM~H
zEVNm>5P#Zha)Fqi^Eo?oVH5H971V_baO)TKFcQSYtQu_R;KRzyLhFbhF5@^f319TD
z|3vK1r1VhtI4q|A(D^s~__o-+A^6j0seLQ(tJXESL0EZ?w0IWg9o6~W2`f~-(p!Li
znb==-z<R=t8<TMR9v9<gxKy1XfoKnV76rye*pi`7hG?&czmgh=_1IHxu7l(7YLS9i
z1+2#M_h=XFuafq&0M00guI+)}R_Yq$!sN{iboFpLWf4Udy!bTzbtCK{a0h>MhkEkF
zk#*wy4~Y-)rNGB!-#jXVrO9#<i1}M3>7(C>{=?A1q!|TYzn9~a0}D`+l19Q753P7!
zz<=J@7lpv2$9{gyfaeEwxrzDxX(dA%qJN%}`PfU$H;XcNWfT3A;zW4_F+a_9GEC<o
ztZv7rNX$>qog<l#h6PUXuHS;=3kqYy;9GhLIXB@6R$h^C*l0P?!U|R!9Ow;%U;LqB
zF@-tqsk(;1@eT}aMzF%ub#@>4msXIUKKv}fyu=S4c^Y+E7Y-()H}QZ4d0kVL;Ox<!
z1aCN7@ScGp92plN>jrE5XY>9P?DS5;!wc4u40aKQP2P@iIK!GF9TEFsd6kY8PuNyq
zO_>e$^1PGm1Ycm{9~;K{k__AVU}FEyj?En(gWIpX9gT$dm7QO$fjzTT^b_GUT5|b%
z_`e4^Z=b=F9~Um?!V#St!LQ)Q-p`-q!^+AQWBIUJ|GQgpaCKg?{(D%0!?+|K?)<nX
zw+_CP*~xJaj(NH7S2MgI=yBsdoG$63)Co7GykQT7m*srMi0ijYN!KD6Hd2|D8ir&0
z1DJhapZs5aqcC;aF;hQSn*Z{tDVT5gg}W^r`dXH95!R$sthR^eir-oi*U!dS&@of^
z(0KThZ8%2z&}}m~`1X!<GF)$V|LON!guU6ni0p-J1g1Ik;cvVu;f%0VE<=zC9Ij2(
zzy_B+PyeI}FO2$f9)WkwG*5`YWX5!B$Kj_+27+QRg?H#h5m?{dH0~%&u5<E%1kA%Q
zImAnNIb%W&{&Rh3g&uBR*!}(-+;!bVjtREl_Gi(CBhE@1{$s{^`1P9EOYpVKf;1Au
zJ&!A@UW3`ckOj3No*9V$)gXNA)~C;KHAD2YC)^UC;oAfczdIHBAN-eULZSf{WPW|p
z6;>`)YCa23&;$#-fL&V|{T1NrpQk&MU<=I;Eab3jiGEQoyz4^0DFs|(vqo16r@dhs
z8fU`&kCK9;9_}|h!ZQgA+2p#n!50{>g!RGx8@uy5Vf%mPUk2c^!8cT2VJW(BiB@>;
z&(*VI@JZ=tpEh`p#<M3=u%JDsNCT{D@lkRH_AKV{Y=YCy*vBoyw#}7M?_i;dGV4uv
z;7&z<AzX3fX6-H++&}7e9(IB6ypEMW0K0tS=yQa1>xO<Xz+#tk$y8v$``Y1LaL$X7
z%CqobUbM)5xJi3Z@(}F8{Z57#{xrk>`vB~AbN<^Q`0)un)=WmUZ+cFO8oZWP^En+h
zvFTM*fM01HX)uD_6JP3Ih4t-neXhU*VhtM?;Q-IJ9054-@$wUMc&7f=b$)nTiCXCj
zEMa*^X`KNsp7OVYKUNBCt-$`*H;!4t1=H{Ee1X$)2L&BrlY}6l&v4P*iLRTl!~Dov
zKFpP&r{E0p(G}+9!nCPZCT!rql$nM^B0npj*a<$V*Xo-9Ck+J|5pjJ^GBq!_jVGwl
z1s2u(P2vF;1pC_)`!hex+I$rr*?YF%4QBIZ2)GQ7CQ5lbz=FNp8q#ow$@?jHxcnFY
zE=ib-Jul)mY+Z6dhz2&w^bz!hxwj;ysNiWAyRJL%sr*I8QF_!*tGO;AunF(swjo%s
z`w^QDd^Y+ovka{4U3skpzPTB0EC-i&%$I+FrK(+a%<see_r6u5A-M1-N!bjX%2P(t
z4W9~DIF}EXU2p#~1v}kL2`_-JRWS-I!Atd>3+Zrsl!W;zEIDyPA`^D9^M3yi7E9Jk
zd<;J;ie20#i|c1Cb2JH-qaV_whJ)`)M90Ee4c{kd;YZ71eUD)ONBoMcFm)<pSR`DK
zEA*8eo)Wq7ISOuF@{r(yC;J^v1;8KAdD!y8PhP$E2!gvPYwLyJ!!M;yc*9Z3Ro70z
zaWVHCec^F0$_gpip=c+U2W+;V)Ib(~TB&921^=nNkf#E-lGn1k!2C^08ftLS2|6=3
z_}`C*89K0Vk`MhYc>Y45ydHd*i8a+3PU$+ZY6%au_-Na~q`5RvH{frat&bewG1jXy
zx8UJz0o5Dux}kco6C8QlGr}5X7mFYBgzKF9<jmpk{Q+M8!G}q>f-PZ<;~hOga2VfR
z31j%9Ncrth_+Dq-f2Q#5KYLmq!aQ8;f`;%zi-qekaNVT2>lHZYv21k`{J=Q>s4lEy
z$944y+$6JMrw>11aw^Jz3;UHgF2LKGdfHh;e)oM#Z8*^Sd3GM07~jF92FLFXP%eOX
zzhyDffN#WoNvnW`;ti>l;De9eO5z`8<WDrG=&HaHkN?Fr!1jIpyX4@o?S8>#c;zUE
zh623k!gv1*taep@^9(#JyOXCI7T_BWm4!R+JRkf4UrMKzlz`a^JY0XmZ+I^H68W#(
znm;eV1NC=>Mc`nTCpN#~0`m`dMBy9f=j;B$!^bChPr}_7KbUUA;$ytG1YwfRedT0w
z_<hGVwZpuGtw!}I;13S%Is9<qu0SewIO5q)V;=a&sCN1R`0@P{FOI=lJ<oRVz&bzV
z^bf<wSnLyz!Jnu6l8(T`K2?7NVSDQ+&Hb<}Pe`N)yzd25{~>rykzeI3e9Gov7%Tkb
z%F>83tea-~nH^4|RhGH{YdtXcV}Psg@9EZtdxoAjFu|+^SA{Oa>GMzBY2d2Z1I<@q
z)mrY|M1G-gjjtVi=fM6VDmW$3pZym6Fx6<28kSw}cD(}!9K7(F41SUuP3sA-l}G&E
z11BX+*!aV*Oub%^z%B)8yMkcGwoM@-zwWbYc^phuGB&nNN8H~?^b?5JhaBN0@_A$Q
zbJO7D_?`Xhh`$P=QhyE)`zs#WgpE#KOV5T+mK^-N3~L86$i0EzR~j*|!j`Ew6N}&i
zwo?uBaLpAq(Nb8_Fi)4r*BGk#)dVZ9`|O&9dnla)TVZkGDs>`X%c&7xK*INxS400!
z!iu|GJ$hkkjRu8Z@PU!$t`Xw(5)YQX!FRe{9KOLt=}o79z=d2bO}}9G;(Jp=u#>lw
z#VmYGp<ZwlW|VKL`~y3=`;GR&BLD0S*I<K#?~e|`vZ8hGcF3dt@O19&gi9{nI8O@8
zO1?SR10UN_l}QDMSD3c7!T&-`6lvfu@sAlh;J)WYDa>$+oJw62Oz}`xf(@n;_n~Tq
z)ehxEbHW;=$0};!wp%Lv-0&Eq>COh&)hRWEAAU%_^Ia9JeN2K=5LOdCvtA8br98YV
z0b6MHW|hGaMLf)suv9GdLIq5n=HsXcS9D~g6~ciB>8X_AH=<uBieV>DJFD~X!}#0r
zxv;3w=07d?F;n_bJ{-<}>8c?ted43+3z(1AA;K8GH@*~@0q0$7p1KYz$9svT!a-&_
z0XN}f+ib6=u;<Y?!?)pq!+Bq$;S=ZH?Q?_8gocj9!5ZQF?7iWO=Pro)z)B0gXM$mi
zUcR}z@T%{j;s0Q@4+pdy;Dnt!_65L8lq3{(aNJN*p(o5R=}~G4+eGiyBJ%C_S~#1-
zc6F)0UEr)wU%9Trdun!t-+|wJY92C#87`y<--7qLC`ahPcVf4i9pR(gCwHEQEkE!v
zn!yo~+4;)wghJ433;5cvw4(~J_0;Q?i*O%1SMM2kU&hXd`tYeVt|$q(dRLq%(Y`gz
z+`8;=IA_)4OK|-@*2f3n+v`GqOyLfrhiXi)qm^@nIUL~>5Xk~p<o%ekfj=1DT-XB}
zzcM>Ow5LqgC2=Y^->v(OJ8Y^{J3$I-?xfx41z%@+?nLB=O|CTDhe!U9bCJLU;{s+8
zu%+ATO(MT`>siGk_~hM7Y@4*G|4jSzAH!EzR7|&F*J;hXr?9=^Q`%K{AlFCz1zeHo
zo%9#xVYVhIgvr>xXe`6R=Mxi);iKapqE_G&M`>58;A{_C#d%n^S|;)%+$}fz={MY2
zbxfrbc4HUyo`J(#^+vj387fA~ML6j{*+&!bG@owS6uk1+T5t;1P!Us^g9A-<C)VMW
zS9U8Cu%Fg{KAZ6Tg0}xO9DUtNoLT|vjfuV@<FHUeL_00aLUp6^CtM$SC-^Y@U_HWN
z3?{XBa)=B5pyprj9nPJl_c{Sf8>d@-g-5w17zJRLlMfa~;kDqyEwXSy(95)bxK{A2
zr2<^EJ85DN79}sKQiJFG^B#4<(+quvn((cIFTVD`eJ1A%^x)k$>ZBWC(?@|5m*E1b
z0{>>%!Thg+IUM|;Q}H!S$)K2F2frF934IF(dsUFQ!b00Qs?o4)ed~1}II=D@A{O4?
zqFx;WpA>hT3xcQV<bFSZ9VOI6L*dCsl^5b*`FM$OU${WEU@{*5luyGK01GIJo=t<D
zCD!`A;QC9)zCMGM?As1`!&S8}C9>gi=6CIGFsE$7=htwXRVb4OoXEk(Uj*+HyIJQ5
zSN|oeD}k@2N>jPOWm=(!t6|${mU27z=|ktz8u&N!^p0EbA;Uk6t#FM%b?yzgZgc2$
z8|?EbX2lw=mAFRH3sX^E&oGC1<yD^b!)qVKXDs2|xyG$ASeBbK*%)rWlJjUBzP#Ew
zW(xP*6<nHuFaDPlWeC64q`N;4Ke{M$kjO6>VpiOth|hx_*lN{>zjCY$?1Wo6+USY=
zp>PjzDmZ}p-bZb?OvIp_8g4m$d5<ovz%;<e40FiPmT15&2McOg;ny$To+a`J1uIYj
zqyPRj{;dk<WyLb^!>7*)oFVeh^t0X)h4<C;{yYm;6wQ%Kz&5-u1ytbAmz^!-;4h6D
z!?N&3qROTMZ2$3>HIdIJp#AP5oRJa2CJiTya%$?sKO`@i68VLnGhQ0QNoVJ2B;bY#
zSNUu3-^7SSDVUkjcl9=WbCN?{6gE#f|Iir@cr_O(4#)L<nf8Ls_It_+!hSU=f!?tF
zXSSA8@OD_HR3!W}FvXJ}=9+Zuih{e{>^}&=c8;rpiEy6Q%&lYaN#V-IWLVGq!QT_`
zXmpd$Yq-dpG@Bdls)=CDh3CrB#gD`3eUIBez%}el6P)lTPve_4aFlPU<5Bp%;>|-{
za0?eF=OLKIfUl$n=J}nn!~?%NR@yudH>_<u<$(K2JuQ~tHws3j#Qq#n3F}}ui}``Z
z?3;(-HcL$#W_U}A)0f!3Ziqpj1Wc=BA$SD#6Jc|dgkAnv3lZ&iVt1tJBX}+0oS!0W
zS@WSj2A02M5lr;|=<c#-8cO*5)MXVhdw4}TP3i)?d15=p9j3iey~`c0ZT+lBTtECy
znJJ#Iu+#-6BCd94`fUuHE6rSc8}=vpqWTE-A#u=lg*%-y|7F0xl?46~?{9P~JRu8S
zlf9x$<X>!G`<(|Dr86zxgf#>P9~8hjrSg)tFx$>^KP%w8v#UQX;E>v*epPU^Bd4Gh
z%(FKJOLAC0;piMPfp>}Ac5Q~AT5WQf!5*_;KYxLbNMwDv41aVhw(f@86FOLpV2TXx
zx*>Qf@Q~Yin5O&l$~Sn&A*Bi}cq>Tm;xrs1`NM{|KJriOo1TSz=l0~O!*1HXDl4%3
z$#heqzeiry8d-yP{%uHChL0~*N|Gq!{f$iZi2nY}<bEe9d{@aYQ66To{VT8+4s2pj
zI|I*1)-}+;W6h$G#QBpc7vo}q_c(u)A^N}l+-5l&EEw@E;Q#&qn?1`B*zU5e2+{vJ
zJVbK2VS|V;cVU=o>^ap*IO{IWF+O<5;Pn@R@Fk}6?}+~2w5EDh9^S9qWJdJ2b_<GS
zMR<*za*pW#_F^-ybm4;@-pNG&kJ^`g)&S<Us^%s7A7y;_h83K`D$q;x{|n>lG1hRO
zptA+h|1%GsRQH4<xcc@H{h#vd&u@3($oh>-ME=u5S7d`=fuSp8?8NI87<xnCp~rVM
z55SFUfg%rK)6U)vM!4iZsg`KCG;2+s1wNSd`e+i&eB*h_9(b{BpJ5uT>-yn4B}{QQ
z=v^j!Y@Ifm6rMP6N;4bY&B@=l8=jJR`SKmS;8Z2LN`vQl(t2MBocN{Ja~+nEy(L-=
z8#x>I{(@<#3$NG1wUkZ=XJKz){^~aP;>MK6Fzn`deW??+YTBq8g`cntpZ^NKC%=B+
z3;eQ?(q|05MdM`N1&1yK4otzkQe69s;l+DJ(#vo};Zd_vc)ylt!Y0gqB*OMN>~x~Y
zY?lho&th0!I?UoL{(dhU`>nS;67~&B3}%E|$=gVx;Y90$-wwdi8H>gNuwUo~{Smly
z=lJs=`23u=10OuSGOyzeTT@MuorK@mjm7)ITtDp1#o*nkv%ekTSCVI9B;jR^!80x}
z{iCWmMR=sOKkhorVB~#B6`szm8N31WpCR+ohR-v<zjqC;Ic~<F3*TqRXg7!3Jf|G4
z!rn=V|6PTR+Z4!6;E6o{8e>>LrrF#Ij;6YHNDGeDcZ#uvR}Gb}>%h{<n{&=^4&O-z
zb$EhOGsF!RilV!$3H#UeeDj8{2Q8B+!|d@~UVbpy?q1Dv@Qb=PJ@??E{Y4vc@X?Jm
zhX?TOf_QmFI4e1@ITn62>o_L~Gl;gD$HV5S7e!^@V0FXFRQT`4v2S8<uTqM^Gq|^o
zocA=W(0)As6+CdZuUiOq=C@OS4c8ni-hT@2;#*HIgasP?n@+$JzfQ}Rz=!It(F(va
z#`TXsz}8wbHiuxjHR<L$cyB;`E+?!u)56mRkJ|;Cu)_ikJ1alK0i~ud4#1*<(QN&2
zY)|JuYPjy-irO&z>2j7b9sJ)^Ncsf4Bi#7+9+-2aP-Y4~eq7`X72GR*?(ri0(tB)z
z6h0T{B)kllpDN@hgIBF~g>S+E*`@>A)cAdaBPV(O!9E@$he;6sexu5l{2b~vhQ3eh
zh))LnV5Nj_Ze%fR!qIZ>F7$A2k$UwqZ1f>%FB5#LXg~QXyn9aI=0SKNwzyy(j_T0b
zaTpGJ9kQ_qi#vb6$_vZC;mG_2hm?{m^TBUNW@l$$zV<k+Q}CmmzDYmeGwyklVsO9a
zg|SI^m_+5QEc`QSFk%!=r#2mwhyN~Tc721-Q!R_D!9qsD{)2F<2W7hkOxL&7Fa+P3
zPUX{sEzSH~d*C+}?>-v9R4bb0eel(1Y8<Ap=hK#(9q`$nD@A7Tj|-39bi#iG7x&q~
zkLN-t>fl59l!~|D<6kalHNfHF&r<Hd*7en!RdB=LD=|+v|6_>aM_Bg6*(iT_`L|ih
zJ9u#n<84^|DEIe5nCsp6frs$Yiv^jN@Os~fW*n?c{Wc&Ao<8A~nL_0E+Ycwg9UrXw
zp1}|9@N%cXcjL%Jv*8gE|Bg6#%Wl2pHT=FriX{PlQ~2mu5xj%>yW>6hy|?qFa=7G|
z_EtE&;*m?!3XcvXy$XhfJ(4ooVCTV$3!yL>hvd#)*k?8&#Sd=xIg;29)9fcdPUQb&
zxu)|A7O+$9@rIYCRHkNNx9UQ(0C-S5Fl`HdtTRJ%7e4G^eR_u~>OZpmqyDf4ladA-
zY_g;h?ga;S^M2nCcZXN8`oi6YmWllEOv(2;cOw7ZIT1nl&|MRq|A_o*|0y|m=Y;3B
zD=cVk>8A)c7@t-m@}qcm4ynVJrnDAs!|!>=T+YKW9(yI6VX<pIpY`F^qld<A;jeX9
zZyLh)ofB>m`PTvx4q3y$v~rrv;7<YSS`M)NaVuI&IEv-hD>v9*%BI2ye*B_R(F3+U
z$+goI_Q)}L;s-OD9eH~RUQ7}a4}?u^2bM3xGb|lZ58#{ZpDt*?c64^tQSh!SezE6a
zIU1USiLjo&)toH6<dUqJ3JW$fiz>h|%W|17;mUn;;UchoQ+00++*F>3KfcF&X0z3)
zLU^}ll;p-<oX`623r#Q|*>T@Z_-4{W%`fnmgP;0m;qJ4ayn10aL#fzl_<%0Q;dWU6
zLCi)je5cCw>v#C~Aba5(n6dG_?;!kh_!&(aT-2TOb`-w6Al#G!CmdhW?St=qywe^6
z+tW(26LC(DePKZ`=~J&tVtbK?FFd>jQ(Q_79Dy(0T~fD)t&R@y5^=M29-T{YRL<AA
zVc2w|i%K8<SjrsJ0|y)|sFZ*^x=$?-@6Yq{wucyO#9$puY`@HDs*etqO>+(X0f*cy
zilKokcck+V!Hw*HFTJJ0_=opJ-!^O?zb7RRu6FYmC0E1z3s3vs2e5sC(lJK(#);4J
zk?=;&v48{cjs}BN8#vT9#`QQXrmrz>2X|6?bqK?=ww#Z&V6pgmerfom)!soJxVbwo
zR0-an_$`V9en7wQ(g5z#EAKfB2QYmjHH8a=xI#(coRC-(Yxt+ZQtNKG>1bG)BRpUK
ztz(`N--mc?=j{P&OJ_4L!6zCl2mIie_x`PwaJGrgS`3^O&=yhwyLIX$--q?10v=?*
z&D`~-M10S7|G5{iecwk?B7SQ!NHYRXU8Qe`hU+&b$REJRe^J?n!O9=*?RA4s_DTp4
zaW&6B4bJepJtx21gQX8dwi?6kHKK7*@XFoYp;uuF(W7UG`1FFL3@<EKyjwpBey*GA
z#|NuF-=Fs!u06WgzaQ>?7c`U!*O!}faKK!gDQEIvzprs_v~Xzh#`Pk&>^W)qKA7n~
z!^cXPjQ%(SDSXz^a;^rxNfmQxH@t7mTfG&QZg}-}g#!0`;TpFNxOj<fc?~Az8u`)>
zzgT8YTZBLKY~K7zyk7k7_-}Ynimh%OKI4B^`Um{ARAX@p{`Y6dcM_ILvp&BBkI41$
zkHTIy-rtwuZ%wBizrj<r$#Prpim1TBLD+2JP4_=oxI5fz2p+BcB)mr*>yf|hO55Nw
z{8Pr%uy$SJ)@OLdi=vDPmU7R}YJ$7p(`&QBe%GkyTHq|dQ#ps>NYSOowQxSSq#_r*
zC89Z84<{I1eR2Xm$;%&B1-D)^6%~N1q=VY3;rhLP55-|}-D{p@@L?zaqi5i<|4J$=
zVBzQ&{t7TlVT4T~oNM@;RS7;VEcd$<o|v5ctOrY`Q>W&`1qXguU4mb%T>oAGkK8A(
zF@;~>7mR!jf8yME*&OEo9o+dA-n*Np&<2*s((uWInKut;*u#xSpVhpAU3BGNy25Q+
zX1AWh@!4WB?yz-K@w;@G`p)IYzVJx!395M5T1Kia2>z$>pVniTH|!c`1d(qe{5J}|
zvZh)55Dr!Lmy3l@mpU;#hTk>~KMI0VvK8f?z-M|+42HlTXRVVm;I;7Tdp7WsKVwU|
zaQ4pKZFcbG&b?Zt@Ks~mKx(+LzIkc@z8iF2o(i^>jSl|;zcT1t=-q?$w7kX_<8Vw_
zOHMbeCmO2y6@LG1m+>>0S(nsw4sP;iU`vDljFs)2fFt>??GJ;c?{9ycg}t3UdP88&
zEBRJGVA^loK{l|23SY%M+)<*Ta1)kN?Kho-4JCZfUW9k}H60@2bj5l9v|#=kmm1>z
zzs*a(7J-c&{$pK)qqn@Qh2Y-rTopgz10hl$IAKqwhZDs1zZ&}AJp_yOoeCqizgi>L
zNe4fajV$;DH(ZX0q=BO^2pN8ZPi@UelEWHKmu89MXLOQZ-314KU3o|x|A*ME^DE>S
z-|s$MJ_f)3WJtLTzo_Uk>4$OJ3TI%C>bc*8@T?_^(=YgZ=e_t&ShU^k;CFb0BbC1g
z7OWraAB8u<PJjLcd+wJG>WA_3Ro6em&Wq^^y>Q<5(LIfDgE0AQJ6vBelhO=l$4y*s
zfwix*{vggTO@_w4T3FMa!?OY|FFzet1-Cs{uFi%<lb?!}!0#874c@>HEt227gJn{0
zrli1!87Z#hz&uASMAG0r;rlvY!ugl{JR;#jYJcxE_z|lcO*FjBvsdZ~tRqL7e-EyW
z`fuV9yyx6+l?U)Z=-%hCFi)fRuK;*MdVW0!o-EN}B=W~rgNg#+M<D~n#Pt#Uy|cs~
zekSAY778n$b9J?a1<r4=5%Kc6&^8rVsE%@HIP9J*d0z?U+Ps$@2#>{vMzX@|c9Wd3
zaJXsR7k2ozzk_!&{D`EfYZq+T<RJY5_F?|VLJo`BttI5ZzW&J$Yh+lT&5`+-2bb2j
z<!!)`?Ts8|Fy&Jg<KM9Ry45?PeM{C=)BeCaqn2pv;H8zel?k|Ojpqz;e)_yO&rHFT
z``*P7*Vjt3%fkU!XSBbv7bf+8()kq@^SHTx6y82S!Pf?ly!BTi`YSi7p#5jqp^5$}
z(Vv%Q?$=bq);A6}FTtEU-;mY9FG=!`{)IDQbS=)oHd0n3$22e=u~NxUgDDs(Oa$Re
zA?iAca0=;#C1F^~K{{3mme5|jAPJM_O3BH<HL0h*OT#~3@%zic#@Bk~l;JGuV<%6;
zW3((?=imiyig(hm%cx1XAxu;A*H{b=*-YlV3ingDTFb&Una5-A!jxn`DwSc8E0g~`
zV41m55>=S(Z-|jUeEZ9Wffg+GTfWf;{_^<mV;y*4ZiG7&ek3obbPcYoQraZ)KeS4O
zn8SA{#tiSnCk(BH9bp3+F`;1iV3voAGt8dR_8<bDHjZxcg!@^Y)`)zzh?jf+gD+4~
z>c_&LyZegn!)_gC`6J=x=0EG<@Xvkyq499f3ipd-c-P*Y*P`L%T(!w3ux(;&MIxLi
zW+t5hH(^~m0ZwlV^T~ui-+mXE2H%!@-t`u4dm+7$0@oIIu;jz8KU*|2U_-`fyHc3Z
zLc8QSZ1!IF_j`DW%+|30R+zr6S_eCqPkqgU_dk7^K=hB2^yKV8*lyM9Y!m!Ph)aGL
z&Iov*{RO^mp`8B@E>P3`+YE2Iw5sgX#OF6s$Nbvia)z(}=;7CCY5a}w@o2MHCU}!x
z_+2a9HF^8|QTWY;pT@-Y={lFkcwxyQ&v9aVStF!LXW$H7zQ~Vofkd#NG;F(F$<zSL
z{Ehvo3H!gb`cMTke_;Ag3l4DGQX%^9V@YoDYp|$!%3=j9Z}+^}9PaD+DN5w)cJLju
zh5Nq+j1<GG<}b_b;Y{1MBW19Fv>>Y+yc}=&iD=KxlUX_L@GsFfbcL{xmoSAN?BOR@
z{u=(&nwb&+M~j4R6X!!WLU`joY>~>CMVzl+av2d3aH6Hr%quwFRdD(dEcV{v5z!xN
z-i%2<g%`(j`Xk{PZ->WOM0{kAfGy0}E$34N>jy|W+Qasm9fOsyzXxl*39Q=YysH*Y
z)li`@gG1}d%v#~A5zHnRVf8o3_d4L45%N#<VCQ4P6aBD<gIOAJJ-H>UKO2K@9hNsH
zu0PgwGZi8}GIh!5C>$?HMoPpxf^Mhs!Uz7OnNGnNpsR7hjg}q1r{TX(h97XjE>G;V
zm*GHOA&CR<cl*Tg6_|8J#ghXr+b^#04}KaK!_5N!R5$A;Igj~QyQ~{*@RZ$_FeMxz
zzPOJb?*7YDzZcdeJD9)>=R}(L9E9g7j1_6&UH5|+4#PdmVT}y%v7Yy>La?StjniIu
zLFW6lQ!tMRjWiMOHY#${gvD#5CaB<#GJ}*_@R2@8J32V9eqXIAJn<}^nF1bW5HmD~
zSHH9;Q^Py-Z1*|CroFQ&WN<Zgc)BYbeT4TDC46pojY%*ZbxrmTDeQFO`%)-e_vmWb
zZkS)oTPq5VT(+~^-i^;sbR~U{fp5y*d$|Mg1v?4(WO%bYPG=o)n~N8_p1_W5d9i=t
zB$GLzmvB>2iR?05{G6;V3m!Pu>9+zO;eO7U56_QxpO}Y-8cPZb;CSnKhebH}y*~YW
z*ji<l^%p!=eKVs9emcC{Xa=s~BO`5uj}30`{sF&_V2*Ew=YyHmCgCC5g5O_Y`?}5K
zKElea`}<(SCv>9&@XB*r_fc45bn9LxyvpXh_d8tNO82Q7)}Eoao`(O%jT~-(&;MeL
zT7Vtj&RI0UPh`qw*WgO=&(t5`M|CBBf8lJ4VeMM@c=(lJ(hF!`%JPj0IK#!ji42}s
zZ<MKm@8+(x(ZHKSu2H$LPSoTI1FWp!)0GeNT)3}$0Jf6Q_RfY~&v{RB!1N`C)vw`D
z_ajQj;HnyK+YH#KgTC)L{OJ<^n@qUCtyok9{^$Su(o>j3FuhR}w&B}Id=5WRRp*g`
zIb180lHu#u#7gDhZ-O5~p1^8z15BzgL!ysxJbdqZO_n+=B6Pnv33lwDvA7CLcgmZ^
z!u<t*R*d1eH!3e4!6VU0x>oRB$JO(ZaB;WK<V`rwbn{^pyodLwk|P|YkSQ4k>ok-1
zIm4E6`5z)+wko}-KzRMKflUY;{7IB21U_PY_4Pe?=j}niNSOZlhJioaHB`bB4SyZm
zH53g0b0TYh23zYT2m8Pan%~UR;b*Ti_Xfg09}6BRg3Am~7u|(dMksPiV1X@dp8)uw
z|7KkW{CB;Zmxwzn^jz+OSqoMdiS503Q-5m~zPr;Y$qT+ZkxIG%S5duvNxXl-D`B^N
zTIe6O`*r?<*Kbf!GQ#?Mg405YeD^c`GH|!jH#I-_Ujw7PJZwZI%s|A4&aC@ihW{q`
zSNOsvJG+>T;18|?K}35TkSpSMg-!K11&O$a@52vwV6{!tLSp-?2Rl4M;YRvY6Jq-}
zTC%9`!)tDpPl@(0R#dl%fwgkh)ZJk=t;5@Ka2gj2zHp84o@DivC&cUTXi7N4J{hrd
zY4DkyHlD8VIWlpLELhMrk;?&&>mVD+hRf)St!~4O>6uamu*ZvUwAQe}XSenuc)$Mk
zMO%24m5sj&{#~w?ZUoc%<mlGI;R$9xP2g{;+PSUp4!Z6K3UCIG*1sNDTK#+bSy&)!
z<?0CBb%pAP7+kc&JYXCi{J?Zw0(O|79G!vV*oBID;iDg{$(LZm9Ptf4nBo|t<pyk>
zrSgXn9@?Tfv{M_;KOdFTEbyD9A}>n#+#Q9mJ+PL<pJ%i%t%uAfN?7gn^M5R`u>b7G
z;a!;j^xf-v43?lD*gXb|zxvQ22rsuOEQG@B&-ayIfQwk%UkAezquM4au&p4+zdLZ@
z{_Q{wm{!54!WCYBDam^lc9jvl?f@St2rE~H{e+y3*unRb>P%!{Cw7$<OW0tRZb=UQ
zHWwah4o?WG$4S5z_2$A?VV#DDyppi!-M4dwFzxlm7GZcgx=~UT9-EoTmW7ip+5aaF
zpNJ^ia}Ms+6+bFS<TFesslfw$12=`?D&EpH9r&H{lYM-!<KD^pdN8S=f*wB{{;2S$
z5q#_BjxBED_5Gt>rf|RNOzjDH|6a{#cQ~UX&7O!S)VuL`!46ed7?j`u-O$qu@Sf-6
z<<jsZU1iG>EPnIZwk+I09mM+=X0$o>QUaboUQ)gV2P=$Eoq;uyd|1hJ(4WmLqeWm*
z=G^Q(uz|+mZsK@pH}CA(2TxbJ9HN8y98do|2p>0U_(~0PXxiRqg75u$eexeEzE5GF
zoW~BE>Fk-_gp(h&>e0il_q<~Mzz^bvCmCV-F9X`Y;hXH#_xHk7YZun1;T98i4qDjy
z$h)E`cvkjYHL-u^#d%G?!S#(=dK9pgV$^|ASY(&i>JC^+iM*~44(jv{BZVv3e#mvf
z12;Q96YXKNX!5faW^!z|_yd=hb*4ANBrPjsv#`GJg$p(Cd)9@=^RU^8MyhIf`xBGQ
zB)mF&wxAT2HlzGJ1?Sj)bS#FyI0`tA!RM&u*mL0+bq=y|IMwT8?`t@yNIq*2R-%&k
z&463GPDl^K(pMX0Ucd*FHAlMP**=wtWO(wQh*KZzPucZ65q^B+BGYGB)lFA32A*v>
zmH7pBzW0M73MN(8(P)NszF*J32Y){;Fx(2$^=;k?fv?f4`_;l!hrL;S;dYfHj191H
zeQ}Hze2>-ON)dc<Tw2-%CJW}BErAE(M%EqSbKdd~bK%ve*Pq$ISA=P}-od-YsIT3G
zX@a=xU%^^}v3tzm{QqVRU&DjX<?Bu0Vg8+)FJOZQjSiRK1Ge=MFJa?v9{l=nxof|0
zDoj_pv->>!a6O^+DV)jasI3N<oh+w}g6-S3))e5<UoI&z@XBaeksPed7$|=q-ttm4
zJq?dDpXm&T{gh%8gyCO9rWG!*M+&b3AAEtDM(Yl&nP7UF6JC@R8`OtM<F`iH;HHQ{
zdqenVqiG)<Oi%M?T^u&FC-<X(UA$u+oPo82-jwZx^`ui=55t+0Mizf};`sYT_i(|9
zUK}aQ@L_iGMGCklsZ)6tzCT_cuopJVe(N&<C%&w*`;Gf+z&%^u5tuVo?cX1mQqkhY
z0KBVQPWcCHuyW*lC*hfz-bt8^P9UTe&b|BkLmRB&zbse>{}|xY?SP*#v)fd{j&oGf
zC2*<ABz-YF>EYj229J`^MdritEjJlo!F+qhB(mX*hy58j@b(Karx&n{Q+6cr{1dXK
z-k$=eTQVJa1h0AP$0xu?;udcN!4_=7@=@@qYW<B6IOTnTXBf=k$oky@o@0vV3LswJ
z?CR<WKMC4S^(Nv2=gP0aLIvZhcVJ`t)bkdwZ|~(gC)jeAeauBz|La)?TiB|jl1Cpt
zqY=n&4HxD-Z`6cyWN&qw!Fg2+SG3^1p1(TA@Jd`!nk*cj_G?2QuK2bkq5$_ciI?ia
z?}moEPs0lSN6j^1uiKnArQm-N&BN#5{lO!z`QWO9l_BzQ*~J6$Ct-0CW))fZrv3Ui
zZaB-Ea$X$X>nrSf3@%o@@mds4TG`8b2>$-Y$lxTbswMx56Asj^WIO>Ea<ZRigKxbl
zc+UmfeNY|Q52v2mf0q;fFn8FW0oMADo`)R{>{MrDhF>U5KV^b<YOh}24Og2@sMEmj
z9QMzU!y{>i6no+Eius6t7;iPd)yv-nzvQIl+=;kVd&}*ea8t`z%{t=TpBmZzlHmKi
zZkzg>u;eGDzBRbu?x(fia7U@4-y;0d{(IO8Y@AplHxK8u=bxN|+g(5YoP^(z)m9PX
zyLNHamp|ab+9>m%Feizs_AuO|@MQTH{P5Wqny+xjRh#&4aLd)s;x3r>kkj!W@UtOv
zw=XbNoOJ6~xGBi;Pz!AJM9yRcCjYrM)CgPN-b2z0AM*JdTn!Ibk;U}GAF5-OtKhNO
zPh!OQwDnxVTrunu(9qCH*hc(yA^d<k+@=NY9Fa7518YqAZDOTUUS!0-GYgJ9NTK*1
z9_PD%_ZjSXYOS*hmL?aIN`rHUO5KX#B?Z~>1i0+Xi#=s<{PxVVM=-g(Wp*BXnRitq
z5|;m_CQ|@+T)Ea11|O!a_kRv+UUhH^fWxNK88cuvxgYc1@aMFHSK{Ee%&Q4^V29$>
z>3G;K$BWq+KJv##m>BQhxDr)m3zMqI)!c(C{4RT2!+ZX$T=#=}Ic^^_hj|{<uLi)E
zkIGD#!rJk76TM)Iz{oH~xN1FWEC?1HE^1MNFLI2^M!+*RZ3o5S>s<!sF>urDqRDA^
z$vvYgiO6sIn|mDgh@|_T22;E4UpfJk6qw0p!RLe7lepm<D)e8n;ZemiUys6@!xn->
zd;D-d6?6!;Y2Q~()Ej&XI`y0|{Z|VPqP=IMRBo}uL435i)$rIYi`)aSY_=J7Gi*Gn
zdzlF?xkQ=T3U9XEN@RikHH|lkdSqfn34d{k`TTe3hX&w_G{z^XU_;)GyF~vhtyAbB
zg{QtfrXl)Y?W`dS8T_GT&X%ZOdTLL9*xrHh?fCtzdDwI70tpG?k_uy2*5KPqJ9U>3
zKkrNLy#;^NWr|&f&lp<|64&Q5$0_Mq_<g{Z-5%KY`^JCsaA}ubGabBjJ-&Su&JlE(
zWr7`dq|<$eGj@DZ=YT1$+m{Z))MAET55wEEo*P3jhiBfI<8a@he;Vy@#X_Z#0Id0&
zJiG(`RLE8)4(sUn41a_LAFvM*_cxLAfrsi~$qqM3CD{9rWaE2St!Al31#UedOYs4=
zy{mPcxS#%JesU!bKII^*sRuvOc#`xE)_a+pMbulima0lQFx5+1DO1=!>s-(qSXs{@
z;RakhHgobN{3&nvxDCuCG3}5AAM2C}ae_Zb+-G?P`$S~3y263Wp@uKuMJ_70|KL})
z+$1S5n~WQ|FPt}aSTPlTrP5<b)Niux#lPa=l=reLVQ}nr{)t3bLn>95czy*GD0M}{
z6m+|P#KGJea!he>KZ%thQNO8d8CV6w6(zjapTisF=U;}x5BTnXB<eNZl1?o@`0d`G
zx^G~%kfw(LaN3f3UJ;yL*EHq=pRN7dSq{fklpnbRpW?eFTnm3uedBx+-n_C)uL;h+
zkz8N{Ps`in5zp&51;5=!aLZ?st{zxD)K<j=E)lmDChE7Iw~Fyva1zh5?l^pz<9MGA
z97<)JN7QfrF-yE>;VYL1I~U;($GfeSVZ|zCVWNJ!JM*wi9A369*8K-tzq<AJH2hVE
zD~}xGk+)?BHTmF6#-W|W_~cC5+5>)Arsj_j6HKz5Fmw=hI(b2t9X>#Ho8vI7%kVz;
z2>jcqtezGA);6xd1Ml#BNWLGQ=G99*35Qy+8SaIrauTaWVCu~21R8iInCg%eTr9_@
zKo09^@#PZr+R@m*eiX1zN)k0u|DC0<|FZGV=)(c2&w@n#M;9c?um!77oDJ87z0B>)
z|G<vJh8zYk_uQGyRrurKRxcAc>DP@H3-E2-k-cW{!QfLrmf$%GT^nn-ur@$!9A5Ui
z{lEcs4bgC$fF1IGOu4}kP4*lkaLwYprw7cQENVIiTPI)d^Mi%9bjSx_(KGhefpEYG
zi|SXH((rrz1321LXrT*Mz4-G|B>YO}k5DhH@x!Dr9?n_V)87tnNSmo7!v0IGY+qnO
zrM~CSV5i){>Sp--dar0YO#1Q3&QEZzi&iu--X40A`Kk_<4$<Ty#_PvE*i1LTU)*Ya
ziShim@>?+<;QEQmedX}jj8NA{I9y%gRt@Y$E_}Bf{>37=qaNl{U95Ny|CoPi+y*E6
z%~%$}&)8Guh<aqDBRjnW{%pmp*$>O{Jv*NVFVF26BI+H5uxk<TVEwoLl0-dZNODm;
z2kwt`YMFqyZ`0m+1KT&v@Dlab7}+MrOIUO7K<OfUG`Pex3uY<QW7&Y)CDX{C!8-bK
znVayNrmLziV11{u-Mdlmv8Bi^B*WitJ$pnBM@g*<rNW0vIF^ZevhZYYUp!1|L>ffY
zqt$~C*%Dz7GoNonz4~Ovx;h$u!)ESG)VHT!9oZQNUx^w1%mdf;uVjV8Bbk+EyzorM
zn_rP|<0GjmA^7N@|Dr?T1PV6oQ}ANOECZ2$UYvnS37+IDEDwUu(9b8Sz#+8un;|f{
zj@|kNcz?d&3tw0~OgT&k?ubt1A@ZvY<(180GTSSk{)2b?W$CemnQze35cwa&;!fGa
zUyU0J-C?CLo7!9Ob^Fs2M1H}>bst|i@A1U2E39mBhAsg1f6w^zE?g>`$D0gGikGMo
zaoz)grBC3CSLZ2-__2odj$-)o;m~{+*qN=>ybLZ;dQeEbzxU~~zCpOfj>XuGFjctq
zFnq&R@R|>-GUht+4>sKKnw;3bEm5`GJ1^q*2zoL#0^r5tFV6DA1p`dKy@-5Dk1heY
zyr$5FI6iv*n~`!b?H2n157^OF>aZfLy!Fe7$p0nq?mu<7NKa!Iv42k80W{~~3zqE4
z#QrFeZrbX@bq4J*H{hwOvEf%>y9bF~*6<<)&9pfj=^Wjx3vV)9NwI+^e;801!1Nb-
zHk{z%*U$1Vz)k;R?z_Tzf>yt^VaYdiQ~$xjOs^Bw;N9<AJbYo=j9Y^maL0&hZzw#U
zmFKSn=V_4Kybqt)t_eC1+wNZ;%7MEq*7#N6Y4X<&Z(;haN_$m!OY?YZF%kC-uh)W~
z>fMqmgnPdJ2_^RLvh$E`8!W-yGG+{iXCA0&f%iD49=Qh3-ibZj1#@S+dJ)I(u+$dW
z0keO-P(d8OJ%{paKRmnZD3c?6X4uoH7oOo7e?;_$#Y+|}KjG1%Rr5rDIG_^~`~zNM
zd?7@f-?k^a$7kV~J-+vXVYwk8-D!C4sXo<xST%7U%_jWfmY5}RebLcN{I?F%8Brg5
z4EsFxjicAa_+<9CPa2#io4Sh*eyu;DNZb#SE{q;H4!gYSOd{?VRGe$~kHXDc-CuLz
zYtz@J1Yq8?wPM8mXcwuAAwS&j-r`mUe?2}}C<?buzvOL#vqhI<1Yv{OBI_2IG{<mJ
z0_ME$<wD%gsXa_(h2TF5afRREA<+*>r{PjdHm5y!9;s&Btv><xb1Vvx!O=%Kt-0XI
z5tCRhxMs&|ZZ=rHCAymj*3sVO&j}xWI&+$MKL4ZEkzs+q^9gto&*%4X&l3;9H1ypk
z^x&x)VRv@e`v!--0sKA5uloo*B3;9A9iCj-&OZo~nJ`|v0ka*_q$AqHle2iA8@!xR
zGJ6=lL_??R4(lHx)gaohsw#I^2u$8(!pjZox$jfC2S+4l1QG4^kR^AO7(cOlFPa~N
zhmu&&5aXwcN8%rd_F5dCjCu;6bL|#52^T8scRq)?f3ZFggFD=L__N_I>USF=F#X4P
z``7UJ@bV=oSmeje`U3dfxv+YoJ(uZ5$&2AFmu4;nn1MV0S|vPr<Z84md`U#$88QAe
z&3Qbp0^b%R`P%?nr}CI6!3K1@y<6eEoljWx;q;loo=*7RHh0KHSgX{6wFl<OG9AAH
zKM0a?B*x2v>|+-VVQrsDv2pmIRhW$<yiHvnF%7qo?(TPh2SOhFe>{J@Cw(CVUg>kp
zSx4M0jm<O&W*6U(ro;H(qi6?dKiu4~`kkmR{>RaM$8+`laRARs_Aaw%BBKzQ$t+n}
zB}AFUmyDJ~W>iKQkyU0&MOj%%84(f5-coi}RPuYB-=ELN`+V*=_uO;uJ?DJRdF*gM
zrU%ycye!5Er~JC=Kx2aX-p8(u5w?+KU!jFN{?=NN@0oyh&OHjSgv(?R`QBMQb}3d4
z7G+oU5r)ezP30QGM>L$jNW#v%+I;%(1}gb2Qm}=Z%M~+tZm0bPdAL`!`kOKQp;qpt
zBK+z3n7Sn#+G)q24sY+3eQ6F$_HspP!^YI!F6UwKI<4>eFyHx_Zbvvah{nYjp5Ud9
zy#lu$QK&fuZ+(4~>Jq%AYU5Gz{djFYup$HwvpSUK0CRnKw>JoGis0EzzDIxES{;jl
zJ!#DRJm94SX_I^KmpNrB@;z%fYR8-o=c@WzlJDKjy$L=KVP#KuyPNPekGZ+Gu$Eg{
zMFf1bi{JVUy#Mdw(Ii;;<<0P)@SV&0>FMyzZBPEpz$qW2yvt!W_Pu{}O!0oJy+w$8
z@Bb6$4A+CJAKs9vgKG@+E=Iwo?bDs4y`WY|kv19*u%Ou42#dEHc9z3QC27}5dxZac
zE3H!4ms6Et5PrXC<uwJ<&(GPB_K%7Qo8cd@ILpZ18Cbv1bd}N!_2-KR!AtOsf5#m+
zz>#Y6b-!S14&C>g;HJ+{gx2BtE9z1kN&G0S9R=EFf`2GRGQ(~avhn8dc-7;=S+f5f
zCEXUV0%Z*Q3VdGa;kY||e_xly96V(%Ch7(6DX1zT@o?VkDAGQs-x=vP18?h6ZHtC2
z?s|M&hVutm2XkOU9y>0w{fB0S+jC)0PIZr8aICJ6WHnr6z*<J)U03&dyoYD*Ol~3D
zXDT+^McOB`gXtIMVaAtCPG8{LY$FDLV5v@7zEPOzz)w-KzaI~mtVsK3GE3dffAH`N
zezqle#_IjqRoGZ-#P}Dy`{w;O6gdAi<xR93(cXG^L(qf2h>N6k9Nh$ST`~DZjd%jf
zxpWrziqLyIlHbcGl)kaS&lm5#rH5C!&LjxJ!b0{*G%%N#Qtx(nMs5Ep6P)bRe1NnM
zQ`AN~Fu-${o?j7z1=LT!<A9GB9sVp0U!gDG#|HPu?B<e%e+&nO^T4;4b?Y@?tz*(o
zobW)JJcBm8&tvsHKP*)9(M})U&!Hp53zwKyW*fpTvCNU%;R**Mij#1z_o=_zV6|h1
zZ(71F$peM^;5#y1gSPPH(p@_w;2WVGI~-sui*J6iaG;Ib_5WbC@;%ei@W*)fDmVDQ
zl5a<q-~ej|-pg>9)sA9$c$W{m)m3<|V30!%4%`2%i1ZI=r*Qipf<vWVuLi(lhV6aY
za9oFp@h#ZHm-d(@yijHzcL&zJ^EO)#&eo@#BmEPs|7JOl!A{)V(sA%s$H(r*aCt)E
zon)9r;B&tr{7t*%Q!0FXC{)oL{!;8Jk_~(HJbP>gJL^Qa<iNwf&(c`K0gR2?O5pVR
z)B%#7{=fONrLexNk<wXM^i5Pb>8}~1JD)?+@1m|)C;d6apLsVr!B=jrzWfZ^7%LBw
z^p45m%cOtk^!Z68XZT)gqd_n1v}HMmq+hG2j_!wp!qPUn!>N<$Q)BRJ@5i35@U6Nb
z$?x!lwsFfP67Td6n}s#6n<#t1ObPEl{)D44*Ajf-P07?ZHlV*O>&Lw3W!P)4!8=NL
zlTAX4A8fF7mY*K3b`4j)4j;LzV#5gUQ<ZuU3<r1&yyk$JqJ?M!VY&wCH7@w(oA<W2
z;gp0gW&*IU*^8D?xa5n(gKaQXzoGbDI6b;`VK>bATJ}K%Y+4{GCjuuYb}YxicWv6D
z_QCa~#kMhUpS^55=?^qoF|A61-=to@c^Ll7!tmfeyw&r2gF1XUF>5&$-W4tGYXslz
z(`k7C$H_c=YXUD9jfkbg@`Y-Amhcme7YPqx1I5zQr(ue#TFZ~&eH=<P*NC%^<)pyk
z3U4?0!W&rnX|iDxDoM9QScWg7gdES##<wq%;hLiTT$%98ZKD~y=x?4AIjM6MerxmO
zJ3stVuPw_TZd~7~wiA~4roch+J9yVz@NPKQuE6aktn<=&Kpd7oyrnk?E+|*ru@AQ8
zjXW3*?~^O>A^qiR3ey?4VBOu}Rr2tlt1U$|>>WYROZwjf+RFcnf^+s)J<^0jPG;_Y
z1eaVm{6`m_Us$<E&M#zl3%wcneRd^v6+FyrVP{3sThqH&z*WH_7s&XAuEztqmM73&
zr0ckujDJ{|&K^7s7Zp^WzXP`%N_ZX$f1aCV4ThV!ZPjj*^ili?VX*Vco<E5&=fA^;
z$asuH%5xDZ@FDiw3?$B@x;dj5cC5?HC)?lguTQQN{&>Gzo{SGUx&6^x1I*_;J>Ux;
z)O8GMg6GcfbRy$FdPGH)`(cv+NoF$s<5ty7%OD(o+bNEWw@5S35BmvIv^y(Zg?Cwa
z2`s`toI-Dq@gU1BU#|Xz`x--bd%@%T;+WQ9$<0;I$#@G+H}hJSllY!`Qe@%|e^%f=
z#SUM#Zi^@5E%s4)7xBU^Of@Pl@Ck8Q9Rb+?%U}Q*Z?VZaK5G}O=v>ll4ex5AZ5D;Y
zELzyl!eQagqSEk5i3g{R;q&^<#}C41*g|=a!$&-wmLy5~V{-}{VDa=tU0wLU0~>y=
zq5K_B4wzGib$Oe+T4DbpBYR`G&iiNVC-_Hw*QR6eK|8IRuVIFH#&<^W>~$~oVmL=5
z%0UOtIaVd}2;Q+ZRglE9wyw^lz>HWw?kL><X62?oe2LzW%>-tWJ*43W`?oX{knMM8
z#q2hQ&r=8rTfp)$GsA|k-e7bi*`9>{x2zS^M?973dG4^Zq`mDjyw{Q5<Q(i`=bqXM
zU+?IWx&+V9jSRQJ8{Mu%`ofaiE{Br-^RZ&P?fx)D#rMW$IIo7vFAUD3x$IsCySPlV
z-GLhl#tS~cKC^dRW8iOF+)q`*tc#u$_hF6B!Q}U_{S?RPRJhL6UcCbTq`xxv2zFc4
zXdv~u+`WTOUc%ec-nx<cKEj$$xe(rUDt);U9<;Jpu7Q{3xRXeK{O&lVuzFZ(@`3}2
zA3wsEIs~^c_b`z7!<9e#M`8A=BAzPv&h|?gH0GF};t<Ch@_gBN@`T(bSbUwbiR|A;
z{$q{^e6s7f2igCQ#b=oE63@HGrZ>p*MLAsHg&zE=FK$;k%-6Jj*brvvNXaGJ7u+TL
z#|G|H=sZrw5B&JFIl>n1)<4fr;!~T((|zERIr5iD{ymnZV)KS$FPi>qgmWKCH{60v
za)iyv^+=-Dkqd>_4;l@Ag_)Kv&c(z3G({8#V5!Iut2kIT!KQiyrrG#>b2jYarzk+i
zSD1E`1ZKcSaW^u^^UAlaN2w65G__tQ<zb;~Fy|%Q{?aX$8s#TM>%f;$_!f0S&<x_k
z>=F@EBz|sIbqaoHlCqz~hg!G3C;4Y0MkBinXHyo?mci`WN%#K2X-)SN$@Bl`(67Et
zr_dg2uw#Hc|6e5BQ(%K{oaGFPhu@l=Y2tu=ms0A;_=lOmzasqbw9!R2^1e|+ch^7&
zR%QHa5&_?OEuJd^*O(2hhQPW33o2qTtB|8|80?oFl_&%657r*`hdY~$CFEdFn~%GK
z;OkC5Zykcg`?DK-V2`PM0X5jBVK1{E9Q4<~TL(5;>o{=%USX+EHGrS7oJjP5v(g;@
zo`BE#E{>A-GivrWAuIT6(FI}hex|?2%hw*}6$mXm0&iR2{=p5Nh}?2T3qDYI-Ng~M
z80TdWfw!EVE^>#ZC`#&f!#}mvPo0C4-De8Pc!Uq4(`+RER6EXt8BQ=gROkd3J$z@g
zg7;<m(f2MF;EmFk1eW1%1{|y;UZ$d#*9ixFA2#=Z)vqx9*8$swimj3DGt7Dv)xp;M
ze}%~L&95qWlJNxB=+$c+;O3Jl<wbB{4aI~r%yq!^Y5_b-p%rcm8+UBm`V9Wqkg|=W
z{~N#9{e+}HJ5){bqh2K2FCETtJz#1Bw|%~$^ay@^=F$quzx~ECLkaMX{F+;*;DllJ
zl>2bRI<<rmyu0q|cqqK@Vw@34KeERrBLrS$Yg^KX*B0MTlko#3&y9IaV8%VKo?L`S
z6T&Nw!R@_Viw^J`tF<9R_`o1Tz8!3RUnckny!#7Jsy-}np+b?whhlgw$#{TclXLyr
z@Y;6Q=sj>4Rmf|yeff)ihPz;ktXG!0@P1D{u~mG($vpU0ZvjiId;D02|DIrSF^07=
z2Cj9%PBufYNPhg`W0(I5^B7Z|Fol__)B;F<cHY)6-sJqH=&m2Ch52n31<3i!-hUce
zOyWj`hspWZ<xgvp@7bZ@)=_f){UW@PS+M6{|4roh`nc?LGhp|g#HZx^g|9@!#=^Ax
zil4~&QO!uR-i5^mow!utjcbhsVKD2!zHCzdA1ChgAm87dt(rOt@W6wL%{O3U4!T|?
z_)4nx-D|Ms7Rl}8e&g}pBI^ZnL`}VtfX7vb^W0z`e&*i-@XB(4sS`ZdSaVwt?)I~2
zv4tB3hg(@-E4B?6E#a2h7+ZE&*7Doz3HY$xvm6R||A&YeLwM$fxgs?@_$7cv7hcTz
z&wl~+i`iDm0@7ct|C@t@)Ia4@`y^FK{P7O+G596xP#fv5rjmX?F%IkWINl}w*^ayo
z;REniy87-ta0<=8JW`)^W|+nAf_aoEOnTwbih`ldaI*f+%R}%R(POEkeMi21CvO)l
zCvOx^`iJ+Wmo^W=j%OEi{=!<$#qOPOo8{3M(*IlRk{{Ct?>aGmoU}Jl20fMg0?Qwq
zKJ*1Pc}+D%_BTEAaP2cJ&G9>;9rkLR(RvRDQ8nh1{T(xYLQVQ}U*uMrw89*l66Q(!
zo92<OO(brtYn?~>S9i#Kc-jIN4Gyc_frq8&e|E!#AB#5Jf+tLtqCdl%%`4<c`(o#5
ziSr~s4tG9UItxcW;b8g-2ZRKRsla{Olfxr0MS}N)BJ5Jp5ZnV_blKBM+B<2B`Q=GG
zL2*wUX%EeCTj?SD3uiq%zzJ)F^Zp~-pUpdx%no0VU3f^g&+BRPjSAN5rhZ4xzjD+q
zg94V4>ai#1|KjzZBc%UNSha7t0~TasrCos)7V{ID;l{K*hCg7v@yBIt@YP0j=5d&J
z())BH{8GpKL?>)XbLIxgj|UppxjNvnllykm!ws2RV@dzgQQ1>G<aizE&5cQW^w~tA
za+1ICt)0K(;kR-Ny5x9n+n9UB!1_CU@4bT~sr$G|e^1-;(H*t0wXt(7=@0UAX>lUY
z*8}bI^8T>Q<+#;i*s1@}iZ5JNeIn@v9BWvgbQxx1;}Iv%UoTZ&3)22RThjR{2mX_u
zzWyIPs1s|G3kP2PUEvH17#LHL=lS{OptE-H)13@4S#W&Vpx{|pC%8^F1?J{oI!F39
zp3;h*Ooz`sJ}G=0HY^$W{Q!;?aduaO=g%DAe+V<(?2uH2v(HXd-iPUaeY>(BzAG(0
zm;`6<IwdCwpAH%dh=C)6oNfrh;XZ5`3Gnft5tXg*Wr25EcVTr(Pq9t#Lk;|)4z8?R
znV^9kMR*gV;DiHyowNTetE~Q{=#u#7=PdW9VaA<DXCvX7nicoA@UN-w$5Y{#l}Y>F
zz&$c|7Rme0yW8b2Zo|QCQ{NuLmUEX}!{7%Jp<(2F0>6}4c)~RiMhYa(_v<>ZJIpIF
z(Mz^>OM)-g7?$5(CGZ6PVWl%|3O}h9yGE`@^rxJ=`mo-XQw-#KGH7h#B<ZEYrE6<o
z(^2b^V=$YJwHYZ-s~(0_Ht-$xt*PXF=C}ZdwIe(*{+*e;?+nu=4>`luX9_=%_Zh)^
zw#wxA7+t;Px53+-pZi{ff0Xsd?SW5?UF`OOw=<@0+y(E>sNwU2Gm0qe#9?#Rh|3}H
ze>xRyqHv(G{O?=vy|=y*ig0)`joCdo{f^APgYbgTnfo!Yrg^l*VfcrY#6luG=%~@C
z0*lp0$fUpmcOMCp=O4qeWmG1tJfat`0ZVFCw`Rkv=W>?F^Kah%uJ{Z1)jvaf^1ih3
zqhsDH_^cSUAbB3%`Jlj91}m&)MxKOk4m{PXfEgdHO_BG3Z_R!=?_s<A2bQPd)`q2t
zTDZ1w?lpOzpw4a3YKHIAg^Ad~%UoSXgK&E&A7?gf|7B{q6Ml04c18|-jr&&F030%N
zt-KoU=83i@adD4H-5R(q>&b90%+q>{wgdk2<!Q(lcwfcJ{Z2U9vxcr4*6zG-^aGA=
zseJYs{wzj4G6|<YIX2r4ZyGgLU4$)!RHK{VjF^g+Wq4)Md^1V!WM*}n)&lV;t<nbA
z)vbn)9?oz+tNaOeo3`uVg;SNahw9*A*G2~c_@0Qp-A7m`=e&>vyjetTQw{w0-lzP1
z@T*;CZ-0PqhPk>NhVzW%B&*>MJ*|J$;RS2+mn8olMqDU1fh|jSo00oP^XO;o6R>8d
zPS-owqvQgm6HH^ndc7RJ($jM9JS^g!R#^$xDGAPbz;1lDXN%#cvg<c4!ki8_$H?^@
zZRJ-Cf#YOU!wO)n*H;=tVGjGx4Mi}kYrXJYm{Bjpm6VTj`9iOwVUzbyev<NW-Sw?!
z2JF#g7Mlx;^YTz<!}5YZI-bLqx1T%n0<P4L@+ReNt7zrVeAqu-s5}QQ$!0bvg`Fnf
zS*O9e3}*();T`%Wk1}AXfB8x^u-%KF8p&{B1w~UG%r593k_u1lG8S!tb06@C#>1x$
zKP>$WALV)M`~V)@I=`g{Zr5shN$M9ytH6VU@UL$t7Q<of@{ZW=@JPbweRBU%4Djxr
zgvYgAyF%gcSFV8zFhA$Ak3YOyDvx6s{`bkZG7zTqp?3cVUn-<HOYU!9Gj$3ION?hy
z=NP*IcPLMlvBB3&BSNpjw{D2&a>A?L6%hfjtjm?R2jFjmqEgr33CW`42jR>sM+!;(
za74zE@hJR$a**vNTz`V!M+>IaVvHr{BQahfdjjsb|M(}VA9N32$ufbrh-gU1!qmL@
zDuwC(8;VSVMT>nrPr>qI{;i~baG3hgau%L2E5G#&-u8D-9!Z~&X7`a?Zx4SDCI{G{
zg+hdspN)&W*KOh2tJRWK@a&wzd=UI2fv2qm7RieXxCzgGXyhd2YoA*GKqO2<wY7wl
zm!np47w*9;s-IR1;SxK)rU&rqJ^o};UY_@Su}X&9`#<*Q!GR~YmSw`>PluhOVU`;w
z{=R_4*i}UD!tSl~soAj6uYxr@_+X^-hGO{C=#KKUFzx!5^yjc=d9;)yY^y^ZQw3X?
zv3l)?kMFnsSr3;nDr^yj6O=st8)5l^!jod~_xR@iHuy?l_n)0`@A`mi2V8a6uxc;N
zk@quXmZX1p-j>8YZ&PlWhdm2_>>+Umc6LbyE3|k0*BK-Q2eSQ3*#v*xU|lN%pEWo8
z%L*TTs=q@CE=*K*VTPx6b=#@HQmQdnb^`5BqZ+g1d8cB3rIQ+7n9X?R1{ZG;x%L<P
z6H;}Fc>?R_u&j>5Di3yako!?0+RSVYjt*OvBKP-b1x4*NJlpWni`?IbsI_-2!?w90
zt)xD0bDzGq0JCmxiF*(4j4gV?i2Vh+F36KOyB-IoB}D#m^aj+!5vvwV@^I9tx`9tH
zFV$}!Sy<*|yb!5BBc=~_tHAzugM7Q-LHW-|mEgOVPF3~5Z*Q<<Yrr#)v;{`sZkCMA
zYVhL&>kr4_vu}7?jo|uyj2h&5VSP08j43=%^F4SN=5BmfX$8me%n6h2P3B1$*uVkZ
z*}3HTVY(@c&K>UHd2B$QAHilU4?JPIsWWZ8aOe3DlOTA*iBp%z^TR=CW;6u0-1$q9
z#NS;>{hJEU`q3tk<GYn4<B|*)2z=rH4qt4@-2EIrc=E^9S=emnfw-seSn2z<1$d_S
zkzqM((%yUO5B$w#Z`Et~-T9WJHJHBJTA&(My7Xg}8t+q?xubX9z&49RinQ>aOIs%D
z;J%-K;+bK)+xN|D;4397{2VZi>MBPE{5fW`H!rMl+cU5YrnVMQ6@t&-{P$oA=BCw8
z7KUm6y3<d<v5!Qh4#8WUS)VJP#`{d<`A9N;#WwGvfFfMEL=#WOt4vjFyk`k_CmAe}
z@hT6t*-@N=-OGo{$aod6yLH^2u%o0Dk3GDPe{1Lk*vuk5nT$`-wXjh0hee+K`h5X@
z&zGC;3umWZ@+0rZ{9~iek?`@B=3X*BMZHI|=MH=$%;F4r-~KFN7n=<Ki!ZJu@8ge7
z<xnTWO~=!M$@s0i8gqOF@HTOpkvLc_LE?5kaRB|3WSEcXzqAHeTf~bt6OO-?!B!7<
z^2Rhjg*8IEg@@pdaB49!-YrOiA-*3TQUCY18s5I=za2c*c>c-xpCaS;YO3$u+YATo
zoe^q<(<}3GBw>2@v+v3Hl;EQg3R1B5?abj(*sGu~E)Mo6UJUAkKMKF!lK=~+KTep1
z&**$+>4mSJ>sR~^&wEuo?1$x4Ewz5aYLTU!8*I@2W*YRJd>>s?%F3jK`I6rpSb~$|
z9$XTG89BdxorbTp-K3R-O(Xnx$#}{7+8{eQINZ;q;~%^$AVW<GzAl;-{TF`yIA=_R
zcuMaX`JT%usgl|bXVKBjk?%bP=aNWKxLkIl{}FicseL>*d^$-%MGMw4xv0nre>};M
zqz7+kw0Ob<&wNxdKL(5aaMq)NjULh$8^J%y49dyzuWVQLGKA+1Y^;Cdd@Y!$Kc9f}
zeGfPPf^ViAh%|-cLyg>L;mFKl9Xoi>G=sqe%yDvzmVDn%UEMlA1V4&3e|G_XB-8kb
z<mc^kfj3-X4UGYhcG&lkT>nK_W>@}DD_mL1Dn!QDL~Ke@>4q&|g)Ak({LNRKnqcRZ
zl$T`u%*ftoh8lP#W%@tzJzn~A<BvCRG7aV4Y}o$u_B+LJ=CIngLbzlm?A%M3*GxvF
z1YTNjt}TT}1UyG;;Z&*W^g`Ik(PhsE_*TfH4VCbfN`~MT*p~$(CE$)Zx_Z)nu>H-B
zkMH1}@=tbk!`p7XQ+Ny4r2Y8)12*u$N@?)p^GPRv!WH`rrB~sHDz*Jfu+Z_fDLUkL
z@u-i|8tkZX$AT6f4k)N5<KOe9Ww^-ol%#bNq=TEdDg(J-r-~?BGQR$rchsN&{9a1;
zEjxUBl+%C@-u>BwnhWmA7<;+{jyx!NmLKjmwC5FqdEcJO+zNkik-1FD*KKZYs@-tW
zsTX6rVXa$7w8;1vwa-3kq`Y!$dq*J$)A`$PBjt_P@s9=>53@mgpARXoE*T|hq&=vI
zHf4gO&-t=6M*i>MAmXTf5N4LW@aQ;9>3d+OG@PhhI7-I9e4qYvLlMrj@ldmXANyO*
zlJpmjmj_$H0(wHahhhHfvWHz@U+pi#O0befXpk#>_{{xa4fvq>2G#3u%5{aahv28n
z=7D~2_SkBrHvDDrlL{H%vcBU^q8gm&v_BvUKGJ<;MF-w^)H0E@@420!QCEkBZ`Aic
zhI24|=&}FDCw^7J5;x2yNPI-+VgVWd@;>ijI63~+|9qOr_!ZZB-cE9U>X{pEwZM17
z9Ix$#1($R*2Vl0?$0tbs4(K;h^ud?9mVcA$7u7~vF$o`0+WVDU?=0i+4P<=F(Y|hJ
za=jw+zUb^jduW}<Ms|AmeeVHU3HbR@n?eeBx8@tW18{$-@s4$ruhkn{g{0vs+UK>)
z@U9K%z6$WIFDWvMaKbSP#e=YY{OZ?9IA-WZ{2{o$dR+4d{7k9eL>W%{qxNGE_W5!0
zr3Rc5AaR1!f2t;hu4?eP{kML9fp-j~h#ZHPwNG}mz`ZWN#z=cFhj-!CdU!?0LEQ{a
zrHdaY_p8(Qigjc7RsPbg3i#-^tKm0c>YTdUPhs!3vaMmTW%}9gui%8LEUj#q;;~I?
z4*XlHpE46x8u_612)1?&s(1wl_R4Hcf_Hr}q9E<*S3^E{XTWj4mdnU^8rQTPW~nfZ
zOw)QT%=4h|Wj6d*cAHf*T*_uCm<b14{(jg3``b<VJcGRr^!|N?S+_<^Jb`V`v4r%(
zr-z@Ullq|lpu@-r?9!se_8QjND(n0m{>^9I@B!9th^n83{Zy9Z>fq}czKrv5f~Q~1
zC-|Id_qkPgQzt7Wso&bDnx6fErJNE@ll;w!6k(u3e?&0z?vI~g9VH<H8n|>dSGWhJ
zEb+}{gcpWn;yU4By=!x%|3Xr@be>$l%dfliHpALR$~NTsc^344;f0OX)Okq#?fO?$
znvB<Jw0Ijb1>Ze$^zu$Prb=yulo#8C-1fcjH=8oUd3dAr2g`l%!jV!sDwMwi+WSi7
z;6wrO%j9{;^6ZqF5*&AD&ptNzL2^y1I(#QKCYc#-{Is@*^w(UveambcoSWnlYyjuh
z|9r;}n<l<wGJ&sZj`)bfp&GlKE#QeFjR{i!l<d`iVFmjHm1&XtE$#hVMtitKj=NwV
zd^C2}&=Edh6V56Rj|td4cZFq4$F9r5D{7S2F2bL<RiX{x3o+L_N&l3COymYVIKx&p
zGY}5HHo)aT(qAv3ybY&Shy>cg-lN-3lJPfrJV%d*!_yD*3rYXmvcs*)Tkuqvs|4wv
zligqL_6ru%7rI0GXIc2CdKY2$xOGl^`Bl*tK8vL}gZ>ZMB9CUcxa}(?6?{!E?GG7G
zvwb0^i~}}kur%+6b2MKIv%&n8oyooM$x*Ig9@tAX=FbT1c;&$SW>|3(m+CjT)jdjo
z8_Z$Xnmi3VXg@9EhrjMUF--a=gA%E^cflf;IaPnbk6!WyZ--}vQ-fAvuQMJ)qHv+D
z)i4=f!&w@rFAV#yPwl3HW8ZZ>*$0=1<OY%PHHB8+wn)I@uiT8-;G}m$V%qT0tOI%6
z@YBHY1Pzj2wYXXcRz4ug-~jvm2oV&4t(k<c*us+a!87Fl{$=^B;Xd$?yrnMre|_!?
z+TT}Us>G@<itvS^<d?VLj_(ho$#|K?@rZ4quq6*ug*IH{CD<7c>#I-l8o*z>7&PPH
zv_ld<OyS~t{pK&=t5O`=R<M`AyV_h>ZY`tb49tB~$FBn3^D$iF9IUG;GF1u}JBXM3
z2lvb5W;DXD*?2dT`4U2R2eW;E2gM(alJPbM3x{_P!|xx(s0G4-^qkQH@cpmGA8*1*
z9e0k+!6AE&iAKVbLgppYaI83YK{U+n*>vF_9AVDEPR8d@{EY7V1OJwsNlb;a>#5=x
z&!T+FO|NFb->$x=q=zRZn(Cjyx6|yl?10~`f8JdPZ@;=VND!{|Xv!nwC4PzpDeZ?7
zw|!-P3pdLi%#nao)w+$}!N<3qqmhFn`bYB{V4L&Y9x|}})YS4v*x;FVvl8q{P5G(^
zrs7J-Ch60Eu&wmLrWrL<s&J%>R5K;UclaJ_+%65vj&p>O@g4^#GipWQHUTD07Pz7E
zZR#$#s(fOd5guJlR2P6lYy9r2!V3GgC^Enj`l4sFVamG~40giZ?R;<a;rEMuWkRs4
zN%B!L-h|@{r<WA`py*!qDflO|&!8mCVbe85=KJ_}I#%f*yq@<-#}3{oxAOP^EUC#C
z<p3WWVxduipBYTilKD(t33(Ke<1dTR)Fb0}y8Z;Qlk?xZzK1Rr_UI9ql!bHn!t}{}
zHIFDHv=71drH5+^;Ic!KD<uE2Z{{%+!|AaKCdzPeSx8+CEWDT|Mvmu<%^G7pydL{B
zl;oe(#n$=`*olkkj3TW0(}1}P7Ner8P$$3tCe$zvd!!r0lH+x_n;bL-Gk-oNPmX62
z{}Ww=DLw|Xk?VawsOvYG-$>anuuvFQ?1(HP^C?Y#&I>2yWubw}{U73W^m+UFVAJsH
zw>S}J3F*1W0cVy@Xps4)-WvAtkn1tMleJtDzSBMaVFR4~?B^X>_|m5KJ|39=bL9k?
z-|m%G!_h79xyw!zWWKzu#_6xg`A$EKOegc*4eI6Vk@LGkljx-dvu?V3#sp?@F5XPy
zi#{n!W^nuO#&J!!hQWvK0&JPo7e?miYW^LX>;XH~XmF{+M?~FC17X`p{bEH}JlN+)
zFx)0Xxkir1ukM0o1ThC~DmmWYepkDq;E)@xq9pwn^Rss!!F@NKKT5-Ue9!I5fO!qJ
zv6J-qT&MkWVMpgJ1rqSR`)9dcz$Y{sR`<cFnJ3(f;rkaW5=CIfU~`&MSlY&IXfJ%9
z&frWnY@KBlxD$@n(qDQH8z#SHCh5Ot$Upl6XEHp_BlCwn*ONQk3FmBQRwDC_g`C^I
z`W@zZJ=I6%3*+|P8a@e2&Y7Ge^NV?(pws*d>qz_5iNYqk8S+=*WaW7ya=o~Nemc?H
z;(g6RAfKF1Z18kDEqvuz|1z0xFu1yZA1l1+B)zFBJW1V=!~}nnYI#8BGi*q#S>b|f
z#Mf4i!dteL*m02fLY;~(Jjjw&#Rs$WEhQPltnJZaJn-d+nqgD;&DI;CLhzXVqN)|#
zx#Qg8RydLJLx?qeuHM*i4}7G4Wz+$-VLn*C6V@~QEP4)ZV-(^Rhh?a#!Y;tM(Hnw9
z;qc2t%^vW|<oJLTe4s+@wm+QGkWft0=WG&b4TPOseK};|YvQ5d_h9A!woUGX8INCT
zi-9j$QfSM=x}P)mllceDH5y-%^om3Ams4Qd@Tbg&;8W5&?-jthOS8x2;61e4JBwhW
zYagGH_^W#F7&3p~vu=f81vuI3MmL$Ck13aPNDUS(-DNxm@AzI7c@Xxt;A9$s{R}6i
z$??$L_t>)vtNp0IBn)qJKQ*)r^N%g@3c}KJ9*6$HY&8)f0&o>&MDPa8uUS)SGrS8f
za?2he^KIViS=8GBo1OpR#t2^-j-io(>+?4@bHM2bcDV0{gIh1I?}9tF2O4<6_I{78
z#NpG&Y0BJTF|Mr>`{6a!SdRcWEZO9UJpASnTfZNyv#GOP8UDhV92*4-I<re_!cEy6
z6cO;slk_)7VWX4>B`L7x_aTAf@D*Ezok_6q+KnfsuuWfhPcF>H^=^|D{Jecd>j`{u
z-7WSEJk@&XUn%_PXW@bqZ2qU`TnW6y(pu{VTbyLO-U_RI5ZHAYK9cG7y&3lB2z0&*
zAMO#+_zGVsZTWBmZgmQL(N5xX3an&)RQ(l2hCWy*IL!4H98eo|sT=;4wNh{g_I{!L
zc^H-xIl@8aTRmQRUwIJDQI~oc4;w$FSek>CA7VldSbXZ3%?#Whzd<t%mYMrkwhXgL
zWK-nBrfMPge!@rBMUIg9VMXuC&aA?{a@Vs;;mc{B=D*-yi`3KQaJkO*!gca{KJ#N_
z{@IkIQ-W*o5f`t{dYElf!B-|b{J+BGqihR2bo-kc1N?S_&GpYPgTdVt4mf(Iq=(FZ
zdyeA`9UDwJGwIY1KPX^*D+E&&9jP0GyPg~r+XlBSi6u_KOxO1wItZ5sMXfHt?s2+L
z4!{?KBAb50Tw}5o`mlQU>Rw9B=X+b|xUeq#{nY8#8)2Wxdjpnm|E-T($b7&h=Gi)@
z;D1Fyr^$T5jJjG`XJO;^h4L+M)o)Wa8#rz%kBS$z)>?3Jg0+7Mo+a}ShadR&)gBI5
z&zju@yNt_3UV@K}^6HDjdYcq}d&2tdBQcUBy=$AP5A2wAazPdz_|#T)6;2J<tsoEE
zMmqBcz|?9<@v88y{f;;N;0yF_18VT-(Y4{5ut4#cvJT86wx|~j*E?4P>B8J8p*i7j
z5zT=SW4O4=oAWlDlEo%!2LHUxbRn9g7rzy11+UKh?v8?&N}WGh!{<5f$R@y)3(<Db
zum?lpcCx>|sbqn>aFae;oiF_G@<yL{xPI@@esVqzK`aO2;I*+69prqcwtGe=!(2kU
z4!gr?YS(lVVF9D0F_M3Ci(OC1{L;pg4u%f!{XIjrWPa)W(fx~7@T+Ns>TEdtR+hB|
z?0@B`Ogj8sGVZYsoMb#Xmk*C=Z}ZiJW!}u@yny9R;<qcqqt$^9m9SJD=ZYLWZxXbv
zoY*`vNfK7|r|)fm5A0cY7lpsd)5g}rLn_xcZ-?t5{En0Pu_>JTC;8#U|E|!J`LWGu
zETcH#OPBn-#4(?CZE0}i63YLX+?+B=xZ?bu335N2VVJnA0#B>`db0u-@$kP<C007m
zM}gl{$|?yQfe&GNj(>=s-{)zk1IvsW4Q)i+R6eHqI81T1<`^~HzO9AM1RmdcAe#|B
z#Wn9}0Zac*W21)+N-r*3!$r=%^}O)A&_okQ_@>7<DQ@_%_DJG6c*jAb2tinzlK%Gv
z*x9deMF6%vkr{ds*4Y{MLIT#C{PfKSrc3_DBL*+{?~w2#aUcDQGVp4^m5FeeSLN?f
zlAogUZTq9(gN|o1Nq#F?|BEE^pKIpjvyl5Uv-I>=GXJ@X6qhr(J`r`@KgoRSR25S>
zB;GTwDNp8We}7e%Mg{KP(3AfO&Rms#E)DB_HePLo*@h$Nl;AwM_(C$j{Y#sPK3VwL
z5ce9H-@f^tn*1U7`36Oc30S@KTslcV8&{P!1q*6o32@lw8MXBvSkI24jilG%zn8T}
zet*zZ;t1TxQ9w=R>%Y0rEuNIGF;^{JTDZ#U?SdZcwpR0gC(OsUAxRy+N9Vw}2Y%_P
z_v;uu6v)4J27YSArcLrgVY7XqH7x1-agyZk-kvM&uJDnU58jBtj<FRYE^zP36LzHj
zvp!p~9tEr1PrXRWTZ+a_?P$0;qpyXOM-Ey)sx-Jq>Pp5IIOnb5F|vL_b=a$QQeUP<
z=;l0ymk)ZMBiHvq@1KKtaKQT1HnM*Y|37iX@bJL1u)Q$V@iqHqc>CoF9#Y>3c@EOn
z!CaEGdHyi|&A+DwKH1d7pAK_I`FyB{d)T;NWx`V|4(3g8>-5!gMX=&y=|45_>4(+p
zC2*LJusTUE^?KpdTlk>x&(SJ4s6qbcJNPB*nAkh`#3^UpkMNsMkDJTj^9|33o8hw`
z6E~CfB;;EMmA}F@DW^(`VCIKH?OpKg7rGl>!~Fs#lEbiC?8dZw*!9@Gno(G|^w*D9
zu(E26;501uD))9S9Q<)Z@hmJcmDKheHa#fAz5-ue(Y=^WyyL&ezu_27rHUL_Y~v#;
zDtoj)+K-<m`QK;oHGu~Hv8Q&1tY=~1e8_M!Y~gw?DivPY?)8lu&TLV3B5@9CmX-Z*
z(D4pB5??;39w9^G^RI?7;gac|R6V%;+2OzxxGj}M)({>E7q%erqrzF*=iozuPyZ&v
zsVBPnoME%H#CCH1zrOl!HVA&-%5jOroopTk--Q24GU=1}#VD!!58;yu-m^)tda0dw
zI=tnCx8Ea}$FyeT72NS{K=1+FHnnuM2+nC5$|J|)plP<R4lW8jWON^9I2K&{0Y0B}
zM3lt$g>rTd!@PGA8{=RO26fjlSh+USA`z~7{%Gei%+)*hmz3v_)aKF^*p_KogQU0N
z|Hnn)fc{rmrEg^Yk8)?>Tq-!6)}S&LrtmAO;D<xb-LfX}m}7&++u(_<iL>`edSMm%
zeQ<A9bJT5E+ScKr6l@wiBuMV3L;v2Hsl#H@Ox2-qY}Uk-Cj44qyHPkCw62|Q20Jlp
zEd;}5T>r_Nliz#za74l{hj(Uq!~5>tE4T??4AxP)4!7y`wUg}+F|IvMfgisfyBG#5
zDD61(2;LcUrauN&Hu}A>5$-%~?nm|)A+SBU3C=CH79sa5mgiDYa6G1JwG<xu5`Oq^
zBwG$P`nf@Y+%H-J84c%P`Er#6a({CB*vUA;vnj7B+hE7pnLknR4tnad-S9VqEc*yJ
zBKu9_7%ZE>FJ1!gd9``(G<@(+LtG&|zp=OMC+teKs9Ou?Ov>`D!slX>ir&F`L8-QX
z;KE%m*gnG4rhlp_u^x=@FQaQ8;1SzSV_KMRpV$6w_yyC!SIqFG{p^Wf;km%vKddl+
zx8U*soX^8#!3|IImRk402Yo}*dEq9$y3#TD`}#QLc9<c_V&@24k@YQlH_Tq--n{^O
zQ0Oj*!x9b~G=9P#)LRwz!FqmlsjINvExANF__J&Dre82?+1n9$SY+^l?K&JbEv$YR
z=3)_S`U^)fmfTi{A9U^#rg0+kg9%RRz*AaTcPZhc2MeV2;73kRrs!c$HGyao*l6=^
zvrVv~N>Ps)d>~3VpB0vo5mY=4AG@B)%M1_Fo&I<h77TmXvK6lCY}`xM?^(=bQ{aae
z!?#qp!twi==fvQG17ZA^;GMo#%|+qc4a3j8;qWkb7DZU}*h!`UxPj*Dm4k5Yn>Q&T
z@N`sz#8Fs<NB&<p+^!@VuLZyP?|I}s_^~#R{t1}z;ojK<c;61sViP#B{rQa)_{lS?
z|Lo!C1CoQ8aD7RB$645HvC91kJXn4Ijwh_zso6@_D~etlTe<)*9_QpOfJ2zS8eWA1
zgdSWigZ)DVOE1B17StH3;QiJA+-}0GNgvPG!7rTEx`JT$CucO9VRnH{6Up!s?)i)_
zu+cXS<3zYI=@Q!z92E4Krv^Uql*9cyysWn|uo~7>YumjHi!<70EW&2}ej#gcf6X1H
zd02<b@6$Sb-PzUYH(b8GGlHzgv@y3pVF~U&Fz}VE*Hn=Z9lHi61obcPCUL(0782(=
zGj~V?URQm+_aEHAc6gnv{}gzlV{HX?Z8&vA0rsnTev;xG>Zfo$M?<*oW?A$q;`U5?
zx9Y<uj($7%6K2VE?6ZW8FZR<<!B>qB$DD!>SJLN=zzZ+C7S6y?rzm-bU|R9;Ggk0k
zbqm`T*gH?)tsN|;fBa(;JR_bzM&f(yzLXWfR^Mec?ct*7hMg~AsjB&xHn8pX?QW0Y
zcPSUxo!~6q&7CQ*@k9L&B)!q#;p=hmk@K&{ufe^a=}RKu3d#O`zVM^I9`^gNN1nVv
z4E)FOhF&C`rQ#MJ2iHE)draat*M@$P^|&sT?`DgIZ+r6}eh6<oG4D*S@6DZ253}Kc
z?ArDRaI(=5^DFp{+sg;<;e^C9uBGtIo9k5M`bwVtyWtIddu7w>&#-YCWmOYgsugvM
zoPX%>NxBv|q2Fli3!E|4<Mb6ao?_8&gPZu|UUtD<JuQ!W;3?KJwjubLa2Q(`%p%EW
zF#->`9dRM~eRz61?>zjv<Ee5lY%zYzb`egncZwf{&s>h$PKEW(3cr`08-OqCZE&H1
z72kNhABPt#18(ubgBi#Fk@&)&zi4tsf8#4!^Y8GYTQ92)eE8ytkDYLkx?!C*ELoTB
zPOh)BpJa#`ylFX0tr51rma1d|M}JxwC;4$igf7Vf&Y$))tb!vHt{9Q^-9D+*E)~Pg
znk+MS;3|>#Et#;u^8&d@*wE?x-sf<p4)gsu_}+S5^i%l9qmn_geqUUy%gihIpD>5&
zLwL%$#w;IJajOnXgDuUS@?XPUg91OudVvkD<ve76JexmD<-+N&ti0a9avl=*$ohl3
zH$Ceuhp)tq_mK4m&t>S!k^7guPeZW+{wsGsm7I_H9Az+B&oFcEf!__Vi_n?TTKLF6
z@3Zyrn;knPKEV1%w^We)IqjyXI{<%o{<K8m2NmezhG2#nN5fW_T5d}LSue8t@t@ES
zBz?o|8d-0W>1@;piLYE<<Rj}{3Kp*Ok^OyW`)bb)>tse<BIWDz{<c72_*qoXa}sAa
zd)p)m*B3j{k@BQgY<EW<F6RpABIQrL_*91?JQ&C-(*ge&{}V&jA3gq$pPKA1_uXng
zS%38UtBlj6yrsX3PbTY|I_f->Xop3vrHqsHO~bWzg^}`RtfQEPfqzvit1RYU;iSGJ
zbFMJ6^1WB2Jat_gd43(9XLJedhQ}sWR{Y?lxXHd@nB(N#;t1Fzu;5uAJd*aD;x2s9
zWdEjb@MynARVvJE_2cUxe1+ybeHz^CWh?aq-p%^2J`cuAASEg9zU+HBUct{-{4Gg+
z^=7iX^)2kJz%53~d*6qjeDC2;19w7Z;oI*1-JfAD6?U@;*mZB^&M&ZtXiy%hk6j)e
z8ySJWXRP>5!<=$a;@{xBua4cMzE!!#H?;`=aBa+)gP%`1%98bXPk)!ACiUsqzqv)S
zUN39Xt+oZ2PgnC0S?^cGa#8#*d`Rr$+Gf~DOm=M<Rx%Yn!UNMvC!bh{_fkFEC=5T|
z*1VfM4`yiDj+6C}f4WHdQ=<O96Bx}x)?cQ(WMoL52b=BI&B^-9-E;*{Xb|VQrTUtz
zpZ&{AnVkw=GS8<X>pK@(C%Z7fI+vuY$$INssL~ZT!V5yVjApQ&%!W8-Sc!YunXKm?
z;o`GK(jR(tzKE><p0)V(1SiZHoy$emm;dB!@P-Zc5|FeZ>&sW`<nZvqP2b$#koB?~
zH}Ly!f$!R^(s{y(vR*yg;PV{H=e*(Iy~An(@I9XouY6$9l7q>+;Bjtdjv#nx@)7k8
z_^NxVRS4|%Y5DYCSo7Ctc{sd9&7xMA_|P@lDA>m5x!`{I#`Cuh_u(;d=1>WEVazf=
z0sdQQJuC|+s${S}g3Vu)9+iQE>@_UX;e+?-GnC-F*>_5xz;3lR3<~g4#eSM+FgMK$
zdo|eZhqqk;yxns{(;--6cIS&CIDC`do+B_DwHtFK>|B@-p$X6ZY)-F+sh1?w&0zmt
zeyRp|U(3ZO#_-MepY=Y%C%r4FE#dR=LeJXZ<1rgt%;DEM32L42iM4RS^YF>V$wve5
zUCoA@j_}Sq?sB8Buc)!o71*1hK5i18dl;5}5grb;5SxR`D40)%z>|H2w|~KBvQ*v#
z!n^V}6mMX~^Zc)(a3<VPV7GY_eBilVWE%XT^!G9|%qGv1QU=H0us7Qb%WqPoc@0}}
zYzWu}@7uY}wHxld={2+)mfRr!<tr>msmQbs*3n~8S%nREy>^j<X=H^mmtjefXCrEG
zp((GE;CZ}XjmxR)z)lJ~J_*3*4xe^2hE+m(<PO1k&*z&@!9JIJQ<O;DQatYr%%WiR
z%oLuzUC(k3b~$o_(-{7ktD@uqKRLPV;{{9J9!b0k+k1W=afgrH+9%};>uXBI2f)Ww
zy6y(UHQ`&={oti!JI_1tm84*%1Xziavn?7Pr*QU)gZE6_I2RB1#6J<vhG}JGKBU6S
zdv8T%z^*4}pJc&|!$ZjxaHK;H{d0KJy;ABjn1)mK(Mz~xdbXqyF8{T#p%k`jtlstk
z_70D@UkRI~EwpvP)mnzXYGD6oRSI9>=X8c$A7OKK%A<3zWH7gUJFMbd|6&>zc8_)F
zgJ)DYxLKTW{SqB(N8wD5R$oS#?F#GSG+cd=d0ZU6bbQKq3Ep4$UT-g~yX~$2Kls7;
zLZL34pPe;C!-o1vDve(UuHL`%JtNF6R4!@@|L4QHlM{{#wY_TtPt<HJ<A(PaxM{k>
zyx*Al1mV9&*m7Orw6#Qs?eIe<u8o)B@QvZMB5=CmOBXMAka-)s80?#0Q0oH+Zea6}
zhF@0eihIMEtJxI?;Q9!?n*s1@+XDe*Sge0=+7JHww7uXkJQ~*jC<?B$XyiN!2W)iN
z6ahaM;K<b@aWVVy6u2jiiP02()iJd_39h|VeBuP0<~i<@0Y{I%EIth<Sezeu1Uq`L
z8`#2=k1g)MgkuZYUYv(FRd%kufYZhOwA|qD!8Q3+u!L4X)+Km%y%KjNd}K*w{tEp5
zz<!Tf*mhaX=mxyCD82I?>>Wp)5&-vJjg$HahuJfpz6%d&x~`M-P9tA(qTv_%r_DdX
z#`#@ziSWq>@7|E~2L&ISCd10B`8;3X)Q;T340tVo{l;gw{(-4p4oqn>DLn!^?LPf1
z5B@-}^<WUzlU|4_hF#*Q9<RbbZczTLgtwhL!Tbvr$9-H5kI1_f%)q(#_R_qE>s_jN
zr{J5`M_<2%^9nnw$o8ij^m#tO4M+Cu8G_HgaBixFhv`(CI^jYQ7x89TdhND!2VA!+
zbf^)&Ae-6M1pk%3{-_&%EGCmx53iq!HSL6V&+6-v{B`&B;Tne}HCnmL;EOF$A4cIH
zk<*pr`cS4C|M(5xjfwyH1im79CV2%;^De%h1`n{(RWP&T{=25p@BkhgU~y-JKmD=4
za1VaQpk=rp<_lzW3x<tVRjDOmfhsAk>+s(2o_EUdgB+_NQl4d}TQ4iZqi(@B-Qe)V
ze2ypZQq2bcBk;#vzIEAf+M?VZRhUcULr4*9`Si!U0{Q*GU4;VptnKy$DY)iW^J+Ex
z?`oYLxnJA6qMud4=4BKNyI@*RF{XNWruox_?eMAp=BjF7k5Kw8yzpDDAi*a1;omPl
zTS#13yS)L{lwjLI>W4oAU!*_7EL2!I5gwqAAO8e*<Z?+;!xgPU+FxO{;hq=@c#d=A
zcRMUX&8@hK`i5iD@l-D?^`PhBGJIc4n7JE1EW@om15=AV{%;7L7VXNNgq65OzL4}1
zMMkULaI@eenNj%lR(9)7_-6i@?<D;civdjw?Eax$`v)x0#o*io^9!22An9}2LyF5`
zO^dh8Q*gQ7VS!Tk<)p@?ao9++>|72kqVxF646HHl^(hNB<&;pKfV;D2_(**&78jQE
z6V9v6@{fjjAFxqRlk^IL&E)xT=8(PZB23xXA$<d8yFS}63*Y){aKjDm)KnDx1xu_`
ze{+G4Rn*;`hcjocOIgC{ISfBnVM*Kl@#gT?Qx8rq!FO4oj2?ko&UY05h3S7;=xD**
z{mIV1VU?@#bIS0`we|)I4t&2>X`3m+sXTU4YlwI7y-gE^mn@_2QX{_Mi|Zy~IEBVS
zlM<GA{`C1aIOAk+1|7Vu-i(txUz>PzPtw9>JTax5aHx-aF*D2@qa?@<%bUqLGs4DJ
z-nDe_v-%Sa9B}(VK`~nRdnvy!8@$u|^yhzgp7SXm?Bj+#izp8Mg-5mjMs0?h+*JD)
z;NC9wIRSWvaY+3qEW7q4oe$Pk5uErAn<@P|BMSG0oh%%Iuih!*5{55nBv|yo&ch$t
zWZ_Le-|y}qwhq221AmdBZEAw4xx>CG!tK%VQjPGFXX+2+;Vgrm&T4q;CAC#mIFRMM
zN)_z3^KY&SY^nZiv>487nLe)v-)n#S;wAj&Y5LY<aO&NSW>4S)ZZ~_)VU8eXA@aTy
zepx>11Z>t|QkMib9B0vYfcdu?-n$Pg-mIXogJY)eAB==K1JZ1qVJ$(nlsm9Nivj03
zxZ2TNBM1&0V)}d;{@Sm`;s^h<EDpX1hrPH{cnMYuc2p07`9sg$aEIr`nSS}h8;1*a
zpM%E@228_X>91SwIKW<PL3B4s`keDpr{Uih`0HX}oy-GkC*d*c3h!vxX+vPTA)MKv
zeJ~ByI(^vn7)d`rI++S5szq_C!!lU4G#mE)J#keP_HoA&9`I)~1;K;xi*2vUUcu3w
z-zKEsYXQgH@?ri;xx1q9<?(+_CGek{Vat194cj>XA~<lYJBfTB*mY_QR>0n@qLk$O
zK<dAq=rWRi?Al}U{c&YJXucX|_NZrKhYcU{W>vvqZ+Hvn;I{|fP}jqyxpq9X@KW7`
z^E=ooh0cL|Zz%@cY-oVT*N!)m@3SNa0bi1yDJ{c&66V`q*!u}CKReMu+Cw5GbfTKz
zPG9Bg<a^YRu5YFte)jOjF!_G%+2)@18LpIR4<+q81N7?~y5X{7&KdH(9_PBp=?m;5
zTdqLb6Ow(O)%L=Jd;g@8_K3#D!`>u)<Yogc(q6G^s=9Ls-uB<^r=-2?vXR-H0r>5w
zf#bQbXyE6GZ?OMOp5h!hozgyK6y`YVYDL=53e|i6PQn|nWmc2+vy;95<^6zzn|?cy
z_Osx3m5uB0>fZ2p(tfs_a@21P9^oES34x#M@+vWMqJPj@md+oJ(T)vehBXa)&xXPN
zyrPt1FqOIfFJIWT_NBfAe8_p$khGsVOkQG8h84wG`2t`%589K5;Ml<DUbkRviw~Uo
z@OIlum0&od{LC3cIAYB_J{*pZt$uR?<~6ZcBk5zmSu>u3`_-4sqG8T6LLZ#qtCbUi
z<oG|`spWEp)#m-Z$@v*b?D6t|4L4sJAnEguwpMw;PN@v?NpNAS)HWY@ALXCq1h~3)
z$k`W87>xKu@=xQKMnf>XIpC^gDr}|s-1ZjCYnaTE2RjFIR^Npew+47UgKv0!Vvd1B
znc15QVTwfA{}N#~{&}fau)bBv#)q&2BlEX+u(9b5`)pWQ`@7CtI7WCPKL=ja_R1jb
zLF*gMSo7hFZ;#T|!3+&TR<B^EE$wGN!Ces%Wu<WRr;NIfaNc3-O%-sZx3~}~f4x&5
z9p1x{?yJG1`~^j(y{d(0+;0q!_LxmVZ0yajeYUm+Y2OQZHF>%PUi$knnUrtKy%rT;
zVJ7!T%6_=unF4(`+`z|SN!n*R8J;=~!6D5pRir(b$v3ia1a@sU;w9}bjlZtzY~ezC
z@G3_SX-_)B9lXW~+j%DVllG>J0QJ%xFt=!j4mtkyR;~Yp;3jdapCo@)jed#jgTHEr
zmsY}Rt;@aQ@TM<ZXNuq(+m0$8fQy`SYDoST6l>2&!4nsxTu6IimD}Kx!*E=_;ejl8
zMYhN45PU?nr-!ufetalYt_2%U*yF!1sNenh+%(`#Kj*&PgVo%V_8P;XC)Zw(@)+fR
zuip?Z{T^mU$}2r>lhR38I*Xx<l<!mft7lDNhv)HUykWt*UwT&Xou)0dm*J}nQyVPc
zw|bc_Zg50Czx7%8ZnIFU3oPwPQ$x~U+oinK5^htG*kKP};VB6)hqsq+?;z>-&S{Dq
zhXv!cWX{7qnw8=DaDb%3xFdWkMps4)?oO(zxC8ed^AeSZg%f+|BjMuA!N9}t8Rrwp
z)$q@9H8n}tm{QoV3a;qu`@S32)=J#!z8S~+tM1r$^gp$a?P+y|x9swnC;emNZxbhi
z-~kiut^ecbzT>(2{y2bVm6DZFqO7d!orn@;CL;-1l@TeFNFpm_kFOO%QFalbkWfZ;
zqEwPuN@PXxd!65(&&TWi`E>3*=iYNZ_k2DXfIaef(*xj}yVe>z;SSw$vsn0cdTT^0
z{Ki&+E*kEc36O1oe{<C|r^8fl)mNXvm(M79r@?cjf3wQrOY)_1`LNAuiBkz2RJeB{
z4_>fwX3B#ZMf5rP-~$S>4oR@9<fwf=oM`V>p9!bB#Wa3|;~gaTq{DU&V%vt{fN5vn
z`*2j$;Kd2pL`>jIHr(uS?fDcuNMp0V0G{>}=A4DE2eD>6fD=qQ9Dl<JkM);I;bKkS
z<`tOc(m(TJ_|0Zv)_-vRoLqSYJn;FQ8})X4-uU@>J2@Wr_*-=wVXkI2H*&lV$M)@F
zfCVU?^;N-sv(x99;E!Uz#L4+Fi_Lhw9WKp{jje;{_|4dN!gGR+-(JB?!ZqE(aPj1y
zN2J~^;X1b{ae)Y38=Sr@?kfZT_xri)YuL+VzEuw1MmPPc3zqz18gdxMmjt6peIvU-
zpC-KPrOae6tZo+^Z33sL9VqF5<J~Min!=Zc&e4+n($n5_%2sgM%~9t*Qtve$Y6CC2
z(=`pjFV7~8JHQL3!NO#}^^oyZx%2S-JNY+9;H!H?;@n`nI_@zto@6^e`gp;n^`XC(
zVTV)y4f?@+Ym3H<uoctgD?zZzd&P~LFh0*YN%h`_KWp4|qK4bIa9xanh5sAkWP`J1
zhT4<hY;iTeZSbAiw~lvU#(7U^epuy6N^=fu{IoZL2c8hkvU>mz{oZ&~8rGY2tS^B_
zM^EQVz^{#NSeC;+i4m4+@XWY&bq#!=>|>n@Oh0n-UIV;B&DC}S7LYWdY=uJ)*h?70
z>uzBg9dN|G@ZmFXcck^-w{ZRD&cn9wR84mBd-&1V&jmNwJ@@+J7dY~&_$hL~7^`~|
zHxApp)}r%=dA$pM{eTBTZo2xyOgFYf&cPvi$^V}ZmuaTI{ehzu+X8PRKk37(^cSwk
z>Kh{SVetf264ef@x7#QW#=-_qugTKFQpL=3S?~p6%^7xhGT-VcnJ*2hI&X8rw?5gQ
zC-WWM^U5hc_}-)7H~DbjGUYx2xT5ElAh{nW4S!D*gAGTs!pM9nx>aRV0uDZvJ@OPz
z7!XibfYTpVYLff8_WZS&eejZdMFzRwQ`|rIQw<KKct!CH{!m({q7GAVH=2|Ew;|1f
zRBf1Uy7T!9`17GHQ@U{0={ELOSg>aCh%wCL)Z<O&&l7ogKmd11wD*wt^F6iJZ%g=v
zSBLx?SosTPP&h2EIf~4mD}0%m_VCZ0jk9F_jGo#0(-D3ZTCGF&=K|UO>Ry7=49beg
z{At+Zn(7XRFhAJ%1&$lmGrbANx<s^-`p&Db?ghdZF5M6y`xV=4DkyKm+0^GlNqy{u
zykR69YH9w3>~9>t#zKDw)-l?XN9q-ZQY|uI_G#t~Kj5^Gu&VoTmi{lhZ*czr8|?$w
zS$U{t4jy*<#9Ir0*lIOO^5>yfF4e=Q_Z~U$8?O4hbMhmsPG|p`tZ(%j>J)}y)g#)x
zvv9NN#p8>x(vhp$q&?%qyEB*Jm!+oJB(Gj=e9FLq{Q?7<R+5|R_-$f_PfRKElYied
zqH{<d4pB5>8iOwuY>bkHBbI$ChhSUlLTz=}<I>&hWdEqH^z(`uyj0W1Px?nQsnF~w
zye;rl2w5M@P=DU63HKcd7AO5Ly_)Nw2e)5hiXr_k8a%K=2ktIZQLG}qo#tr>=P5O%
zkn!as-7aJRPyd)bSPWN~9{GA2rrEth^APrs^hmIPUs?(m-G!eV+dF3mZ{F~LF$3;B
zY?@<3>MQ#z65+4zv=ol8{BvUtay>Z&$v!>@yG{qxhr`km@@+owAjiZ6Ssyrtp1ST0
zw~XzGChG%-jdvA8VJGHA<14UwJRS|g{SG3lWIb@;j)-**+}TwVWCyE+9%RabmHOvI
z&0%GhGi@bs1<Qk9Ch%4n&+A2SR?cve9^A^dE%7Dn$U0D~0l)U$edGna;}DBIxnJq`
z-pzRpf4FG<nye3IPZpXq!_BN|7p38b<e8B_aM|PI+}v={)n)0wa8)F|mk_L4@qT*C
zPK-xw2NgcJ&Gox7J$&{YZ{l8f*uHI%6ZTX)e@Xym`14hBH%yhz`&b-qahdq;0LOFY
zhOod>d$^U)lh+FweddI17$Zw>!R!^B4$SaBkDm1~SoBjv9S1z%S#-1=_E&U}qJ-T)
z>MyszN1wF3Bj2wPjy<ool@r&Ok^WIK-`uhqjbeZ^CB9^SgB5y3Io08#u3Wlg{lZ22
z?7Rl-Bk>?-7_KXq2{4CGE*^MIa<;-Z-Ij3CXcNyDSn%482xpk{ecjg&aJf#+hYRqw
z&6+Bs@W(T@MR9OE*Cl>3Uvjmu{!4(*n#}l+`L5{0vC14c&GnHgnIAcKZrPLz&y0&F
zk@gBu3Y{&2*)2ksN&U;gxVYzVg8I8NJ8`^|I~!&iVc%fErtL6|1B+w_yzSevAnDJ~
zntBm$VK3Q(p$hPS8WTQ4aF%;QtO30GPH^xm%<{Hxj*OSQtG~S_;qU&Bb56sj`xW|U
zU}nZ2)E4lLo&17xaObyEr^);^YVHvD2R5pVuC;-eqs)3&;mzYK>`rj+qjV`ME_|N+
zCF*4lAL)<xr-2jQ6T4jDiGf|ptT3(Vw>VNi)6aRE9bVjS_}vYbiq6p#fW>wu7Ln_r
zxi)iw4=(kUI&l^rxW!Q_4QEU_Y`2CDr<rXe;r#>Db*Au*Nr!1W*xbO}o{azQuYoG(
zV84$~YRU1w4lhY@fg3a)bL+rYJiDe`;b#I{y^P>uf1!K6FmuC_l0N)K^Z2|U%<=VD
z9GTy#9{L#Gf`xae{wDPSRu8knV2X%%U2?vdzN}j$!&5KM(v$X3Uy?6Oh3l?Xp0k2W
z*ULBmh6jT!XH?<OL6%j&V5)NVB+_4}7Vm28*@gYkq!#5p@cB;qL_zrD=%xfQ*ui$&
zoH#7?GiP1|9@rbCE(QBX4eQCkVi{qXim-71)gnpw-^mTXlwjtT$29xktip|WGK&5(
z(6pC_-<t-cABJxy+^9VOw?u@k=)iBywsI@OE<#&$_2H>shp!%nvsJe}FoA=Ax4%0G
zKW<4{Hid;hQA%mUdmHYau!6U7--;ohM+y#z=GwrAENdpo=M|gn@>Gtn=ZF2;q(4pt
zHX5IYWt=Z$k^7m3YG<h%Tq-<CLC$Z~`M7K^`188g7H8OUAZOhVe)4wuydx~MflDq1
zzAwnvmkmqEE%t}PRd1ho+=uTSU3?u4tH;V+C+iD=swQWW-)?=yN#+mxOWgF4@IOb+
z_HI~#cA_L0zQ$4HOuqk+xAm}LI6UUDfs4#%Pg^PH1K_B%n3@ULl*=~p7CisxtMf9P
zvVmitKiqlToo*Gj&-5M)f|dB2YRG<i>qC+2zOb5-kp<ar-^4ynLE2Bb6v<@>A289k
zPJ#=ymaiX!HDdZV+<{kV)x@pgmgGZLIdDpFP9)hcu5BJz&x5O<j2*ZDN2MG+T>@*J
z*2p0H#nDyMYh|#~znjN=;CrUlmNjru=lf!^Urd$uCbJR#7o@|O3g7M1{?`WYuuQv1
zo?mWN9X<FK&gS~p`4m=SJ)bcI8!T%|RlqU7m1Doc9Z!Szb;2UPuYZ1ncNV@%Zim@z
zpM05x&o!>y9fLVCwAB8<s+~#{<oT{RgU~wXZv4H{g6|?Wc%FP-&@qb@wyCdgv4f}0
zH!JeM^2%RtM!+WB{Ru+wNE7Wy7<}zq)m~XxyoEir3^uTf58V&n(2!jzg>Q{`y*Uj3
zXCP_b1AAV#6xD?bI}TTO!i6HPmrUS=uhKhb;d&d34hy*2UiBK;uaG~mc*zF7Rv@`|
z9Zpf5=x~4o%oM`^!puxDZZ5F%R{s6;*bjO6A*j;>F8a!!x`lZEXC6=3Lw(2GHu%^?
z-wj__<0PvQ6Fd`}$QuA(+5Lxt7k*9~?H2}no}RJY4cnV6blryEH+`-WglP(AB;sK^
z^=^(m@J^}M-AQmAS8<CR{L8ReG81-qnIb~=i$dB8dvf6Ft?q;BaBO9<Q~~Vw@uU*j
zZ(6L~&rlCvNc25^8@`vmyYwk+=aKa*5>~xgd#?_DxYcku7v{76O8E+Qm=`f4`=NJ^
zWh}jcrANE0pTl~?EhpZRd?dTB8ZP!foA(ZWIu)>;>}SSU)|?rKOCNE(BlV*Lr=Lv1
z*OwM0$bKdxe;CUzSouXw6shlul{z;E&zmKUx50OwS-$)O)7zXp(gL^d+RXMBF4dOK
z=!WG*6g;T7vHp*m{?`G&zdq4O13zqOJn@d$k&T}ozM$*#qz_&yZoA9~e;hER{|JZs
ztn{$MzmupgyoW0m+&wwrg_=UH@9^n}`+a<H|2?zolW^oeQ7<9bO!1#6*&kK6vg?<C
zSG99)FT!t}=vma@j2f*uDHp7l_n5jJfkpoNYA690X@9rZhpC&@PaTCnRqk&xfzvDc
zpK8F@*>-O~2{ZR*FzLhGXI-yY!GjwlF6qEj42L+*z@_Td+!k=5VB*#DFhlBLKQs7`
zdr*rD>|D3$oefOuGAMKzUNDYOu!1lAe%a;)-^ybecZIzwxc2(Pcg{s?y1+~FY#l+c
zr4Zx7b$GeKO)LVQV+b|51`qSDJiZTKEs5snha19uO)_BByL{CH@GF<KpAX@EN)?wV
zFJOJG>=u(v{85LQ239{cJ5T`sZ05Nn2tT`OdhH(Uy`_Rl1Xc?E-cSTjCx=|rfj9qF
zKbs40zRty@4-1^BGbg!6tNeC*cwzI_zob3RN^O;n@FH{ETp{dWJW_iT&YSIxC;7f(
zSFMBK!q_w6B!4d(VV@4~%1;#~c~~{irn~S;(^@BKe>qQJMJY^4A>l^a@5{}8vJB2H
zZ*?HKgNv|LJ1j3eLrZd|rRuc~_|vLI5oxbbHfQl?_;ak+u}paKUg5D3cpFd2-7HvF
z@O17s_*z5rp;Xv9^81k=aJrD(I60r=6MBpPV6*ANw~}DGSA+j;aK-bq$e+F>FAn&Y
z&H)dF|K3gV!XKWhTyW+1-%`>(p`YWcR&dpRMy5w_$Ecx&C8_s5eySRd*}hce3pcp9
zJbeM5VKnFPfvIl#l)Q#Z?DTjN;5^|BhA#N>#Rq<|Fz>isSs$!<ZAKy+K4BKNZ3uo<
zq8XJ5dof#94#OV8p$AG~#bY7tlW<|kz?~wPkIJED8Wy_1u2&16+mg6*9%i1mDX4*c
z`PP_MVgD@(kNe=OpJd!9d9Xgp^=9sY#WH2tH^JjFMfg8Wv417ta)kkwSo+323`dV#
z+sOj|H_Ora3l5O2^xg@(eKM5z3GcbB(ar_GvYrTDgiW5^6x{>!hwU8u4O3b@=n{tM
z5)LI$UqpYOnv#@)e~r2Rrhuz*0s>@Uzl$4mx4_|kjbD`Dp?|{po8Xb>c5*6k*T7Q>
zCSvdV@rU8uoFN-}SaRyeJ}tP!cA0TE9C=YL*#KTQVZX>peD~8gLzsDAb~8Urze!N%
z6x{7lBftxv7JGZg0#>`D=_>-SxbOOF2VbN$9}<MKBf5{BgB7AiWF_IzPFwoR@Mp=j
zSyI32^)4Gvcxf(BTL!+IIpZ4v=LJRC?}abeRCGnbG;U0_B!4WtD)}GW97wlI3a0<m
z9FPn<y|{gOA8fqm_@O*lwDhu!EUfmFKj9&~Rdg;)8CFzq{9Q`CX?T*<hu0oFQU(k6
zS{ytCU*HP4Ukyin*T__bB~s2TKZ7S}>lTl|#j;ZDy>R-n4T~Bq=Dow|Exb|f-T9-i
z{gn?P-{FF0lUpQD4(u5G0W&GQ`b6?QR0+Mpy!ia#SKmjD=d{aRK~cE$v4|LHpXWZR
zF(tTy;^ve*Ea|^}p9-wwK7sEVWBpvOm2?<(xe<{`>bw8ie$#|m56&(gh8<)YADF-?
zyb|T4o>PBp)fDFCiJ>F^{#!B4>T|FY=d;)3c<BUP=^f!#Q%)WoxT&PA%@gi-R`{p^
z-?;U6w>P|TG)_(*wo~d}Nr(48VWK|>2Ni8Qb{F;&cQ~sBJLy_)ErC5w>F|>FP-i@_
zegwNPWO(Vql&?B!pTg9eH@_qG!VJ5%)xbX)EF=u!tLz$X4RD|4i-==zSn~AtS8$G*
zt+F-Da(?^O4mhduMT#XnzhBJlE!;q#pLqq&t2^B_1Yhu{T62ewn51r-hnolA**C*%
zbK`ES@P}@`rk60+h@}f9ALgI!KU#-iaoN(g%`g|gw8(pS-+(OlRya%3-G2o3qz%2n
z0$W8s`t%u=JDMi21Ku+z8Tkvockp)*H(a3Q^!*1+>BlOz2iDv0HDwLXJap-{C>)o>
zzPt)6e%Sa~9DeF)Xh3}l&qJ=CQI&_ebo`4bV4C}P#+2YKjB^&-;IEATG!DT6TR5v3
z;R!{JX-&9&f2bo5$(<kQ>cjD;3z~Pq%klr_4B?-DSguIG46)~oPQg|h(!HW^5jT6T
z1>BK%X0IIFvU-E&3~a!4JyaUL;U{<M9PC_M_*n@~+n@2&1^(+_e?Sp-E;HMD5pMRF
zNl=4>^<O%B!Zz+}b1LxVnt(blxc`Z$jwbA%ee%XFILAk2<3TuWW_M2*tiEc0S_{^>
zF&mQ%3%s}II1I<<*N>*cQ;AWRbYZnN5shs4{?x4wQeQUxFX<k<zEC7!2rExJEET{n
zg0lmU!5=9P=@!FJMw;K7!k5cgw>*bmwr2lF>UHuLPS?TBXBvN;f}8FX|CxgYoLX-j
zg>$HK^%vl)@4mh@fVafs&z13Ge_*?JtPV^!Xl=6*wtW#jX#~Ic^Q?{@_H8mgavWZh
zd%?m4E7m)vo599%+#cIu;|;>AC*ZcT!ml`BKV4-bE4W(ymLM;j@M@vN0>12+c#R*H
zJF{uiS(vZiNJ$2s;=kBH>bHDwjFf||R(&}f;QI5grj_AEHPNf2KJff{!a?}yyoSIP
z_(6m1{82d1W;(zfj(8rZr323%SQ@+rOU;kx8NxkdDT-b&^RU8kQ&=RoU@R2o_?%vH
z8a{DF>u?Ah)hAwf7QU`;p_K`b1*g%uz(*u!@85xWBIwF5!7S0s#zk;HjW3HAygfPe
zQ9iszzglx0j<CCJT?5k{zr+~?H^i|$e+pX}Jh>PGzgb~reF6WAWRAK6mr13HRl)hD
zwj&wv-MYj;lAqkEnN<YqW(TQ0gWvnk=oP>%Dz_)fU=y__x@uVA_J!<Xxa7TaWhK13
z{EBWaELh*gUI$M*jy%YLXEb-alKO2dzgOa5E<K+&FW}ijR%S79s#x2e=dkrd*L*)X
z!k8zh5!Nvp*yIb>M!A0=@3-nXdCCP2?XTPa3jULFywVAN%;_{v>MswN+1SDYu8%a^
z;dYza=cIqR-kzFmfoFHTvM1wLp4!570`4eN86ww%xJGTm6x{GYQq}~%>$LCYGTbWF
z^Mj24%+Q>-E3k}hgT_fX%VSuMau3GmX8LSW|NGYQFlv}Je0A9prZSA0q=OAz51E?7
z#pYB87+^*<i6T3=g+l!f8!T^qaf=Pyx#8Kb?J%dmxveA2d*L#J1ndw(?M?Dgxj%MN
z@X(v@oh1J-pXYys)VsJ%klZL(@vRoT?Y)UAIUhHYF3BB-n|^tv*~6B*Xu^!(u43~!
zSJ;JKZSoZCKyl50oX@h*0ToNwkI_8$GMr_~a_0=Zo_?8%jBkCLl%Fo}fX6qhc$l{3
zqyA<1(fZ#S(tr6zx3WE9-=TNgQecIYc8VLY)V;Bb|G`zawI7DTBbRsa)x)pK7qkOl
ze>S$J23Sycmlnwd=aO4Kz<dR@lQ-e*d@(Mc;Ov>1@laT?h1qQhz7P^}i{##+w5%&I
z)kxs`aQMxX#YIjxJdc`NR*HjX`)%5H!2gcdM<u|~?6Um4uqto9ehxhTRPrOKzh>>7
zeIJgHU6<VhTXO%TD1vJz7h_1hy>WwS32a!_I3WTj2NbZ?!q3NYvq=4)C+F%K;72D^
z4CG;I#*e#O;f3b{g)(r;o_ddVSkvn#r7~<}v9GrmmgnlV-UrWgj|zT-DYCy;pMn|Y
zZC<^F=MCwsEaB#0KF-gujQ8#;U)Xg%rsf@7{zlc(AKp0XTKx&$N*`{M0#Anan3J4y
z_94|BI9#QkdI+A0lX_GLyHIf5?}KAzkC~Lfc~mSb{cyAEwt`C7vBxR36JC*#I93h+
zShSw$hPUjUyVn4Rbv}wF$JcC3r_}_TvgeJG<9piJnehg0Uj7}_1XGxdAL@d4zxyOX
z>aRszoEe7C4Dxr9^QD&@6!#ULzQnPI)PJ(op85_iT|d?M9G2>~i1-OtD;(pfhqG9D
zzb?YTdSO*hVb3Y4kUwyMurEUm+?KmIMB$F{sZ~~72J?QQ@~4J#kEfZD`pf0f;%snl
zbjxxntm%~2wH<bU_FSLTAN8{p;(>K&CVmvaaVh6p`C!44&LmQ=y?g1ZEF8XlR`DUc
zwQOyt0{kLjEP~X(<ZW_Og&Q_fir<4*Ia^r|!Q8nEH*?{1>R4xOxSE%qFB8^08_%Ez
zD}G(~%z`_c&Ci*@c8=S&r^1uB&1p}<UzL~ZGvL~XQ%@XVmtjiVBv@l=!t6YJes1AO
z3LJN@q{JQeyt{gWjQ^Y31x8oku)ZJpWc=6M@ObD8vqk*WiG-QMT=e{5<&n>s(eQzN
z@;RZfTFwVGa=k6)i5|HPyK%NBkn4-7d;U&5{B5j3E)W*WomBe|E)l%<=@u++=<_2N
zKE@P(!ykTh_d?7=cz7VNmt61Ze2No~;IXy~9zL+=JHhaB*s{oA7pWJMt5$4+UFxKt
zd%-qm9=v}Ahy7!7@P)^Hl|u*M|0I5GB=;M4Az{%EuxU$w={2}*y?Wp~e2nAaaSynH
zKiB6cT+S4?auuGc+9$FOhxl2hUV??p_}VEv@I0&csKymorLf$48!TbFW%L5v-FSzK
z4SvtO9O(|X_Di%1z_PWE#hu}DC$<a1@Ppci0i<3m^V3TySm3fXpFMm!sli?r)@jmj
zKMx<VIKip`JEW{SllyDq8^y{aFzdIu`g5?7B?W^4eB@P{jTO8q`=!(n?pKO?VgtLY
z6l^kwId~LKko&j0cWAyPe5+hE-va)zYD94kew)*(Z32sBh~IO7cbnH`n8Ky0%PSXQ
zE7jSLN8ye?_YPixr$k3&bYSaXw<KS<kLOB{I;^68c)vd^CUs6o6Yf3A6dMY&Nc?U-
z0Dp1%EPET4w;tg<2nS9ThR4IfHgo3EFu#_1S2Fzi^~VxfxX+YXC<_*Cw>A)i&&I!N
z$$|Hp>f9sq-7c;?o<i8hPW>x4{IF!N{Ug|sUt}L2?D=Z-SrsfJmicZcd|`K$^)vW8
zL$KH`Sfez&q7i;CaL$>`x3|6iuC~B8)sEIP!5%4{Mm?~Z0mnK8%-b%P{0{z@xnxY{
z?;Y1S&wPfR^38w$#e5%`T^Tz9hjZ=IT8CrXBPPGW9~9<7e!(TO!{Wc-m!I1{%)w35
z6+z2z;0&M7ci2hXQfL)ksaoy)0ms<L-k`dS`MF2`;yA3jv7cun{Jmm*2dRJF6x6{E
z>;2Gv`W3!1Cg8>at8U__C-vQK|6cLJCPy3#Kf&RPY3KLAE4!BR$KWkWd>0SE6VcK-
zB=6R%XFdq`JSs>h>z&cJ92aci0OtXfVYnvpDdSnVI!<~2Pq<yWY{!4_nmJF}0?AkD
zJ>y|1x}oW<I6u^a-0#O>8`k%?Y2a>&&g)a~pDWX!$@!Mg{`+pr6+HiK9=fp!)-ou%
zMh`a`E%}oCs?JtFLAbhah>PUaA<uY4;2qm2xJbT!j6+ZzZfp8by%Bcb+45Qgo+;a0
zO%D&3@V_|?A4(ZCBYDu4-itQyAp5r>T3EL^t=SQlp?;!A`u9_?mXkBAk<*w(MP6US
zT<-yAB!?d){cAg1W9JFG3g&;?fPC)$F{WGa)qRd(e~@3(Sb7`=7xRV7uEEu>!)#LF
zlZFR-7GeD_QdH@%Q-^o=Kk|O~^F0;tQ3-)dB<G@$$$ttzJD15piT9WH-flSpk8tmQ
zO4gGX-q)>-!t~rvwvzFecIe%yjh>i~cdHkW_K6<#|4R!O@fGBg_IFoxY~X{bjm5P|
zo^<SL&K{V*?&@#SeiPOWhVpO<-CQhb|1SQ#--@tKpQ_6L+n*<yr3JUEJbF*s7cTYo
zur7R?_nQRikE{@(oM2dF>ybBPyu1JI(hMc_M|SdUMxNr)bN3-Uf5ow$oZrEq>xT<r
z^N;<kJn+7(tpz)-;`+`l_7sBaeN1TCVTJ<Hc18GTla|AAc=I5egc_`49^9x8C-mA&
zlKWRr@}s^-a7NOpH^y)iRlwD9c+%3k!xnZ}_VpWw1vYSfz5{PDuy*W*&xhRzBlD%2
zUmbG`ERuI-j6wjvZ|>p|x(5rL%8Xt|ekm@xD-GU}<YlLgeAg-0OE=*#4)dqFa7F!m
za~OQ%+{i~;_}v=KN0J*q?T|eSe+Uni4Tq`q^iN$QHo2l5083xgD7g+FpqbAk`6137
z%t7$Mp6I`~;8I0ahY)yk&sO6Y`1ygFy@_zQq~g}w@E_GW|0LMm>5*ML{5?5tBm<UP
zQL7{MZt-dRvf%xJPuWsn4d!iDm2gmxj%X~rYe=BH3a;|2yGio8OQ)6J!8AWJe@DTV
zOE+Q%;hKkxI!W-PvfvPnAl4uJ&X-C1m`_;9(84SYy{*x3)lRc20a##hyGk%@Ka<KR
z3`^(u#6`mA_i67s1JfSYx$Fi1p`B^Afy0l_?79TUNrma(fMc%)M4f{L>1T5MVF{kW
z(F^bq>v)<_I5X|{L1$P%e$65rJ`t~#<N;qhoAW#t?$WaQP2R6SmW4F|z8n2W+Z&cS
zSal^0=J#v3?+I7ZO0=iLo7q_Z-hk;kyrT=@!AjwBQZL}MI93eP-@3Ym^w+IVY7d{o
zZU=lCuEWZg8rSRK@0zc6kmHSTqkGu_k1|$w`N8idk~q5I6hkVZP+0YakLm=RmDsi4
zA3nK>C2<OVy22Jq@|@jei@#v0w7=8j{dQX!=>LX~7#uuI`orGnSMds5Bf^(S`oF2~
zm?NtYKA+6>8&AOB8zVQ;!}yxg@)Z2+!Jjf_*g?zt-U_@_CS|k*em$6_^$(6+$yjHA
z3kEnA=)JJt#?z6$2@W4Sn8E~0wyNrGg>7=4YVyK%boNu!aFyt%DSr4q8(SI^+;WmS
zMIW}BZLAlB-OqUyYQpEP#cUUW>xGIbkHJd+DI8FP|J46uI|8@OY)v=>Yv)S3klbAN
zVbw`kpv~Nm<gQo3nap9w-q5!s|FzZ8-4+&iQj*q#KS&*GIRmTKpSxuO3*8qJb%xuc
znZFvsGY#7VF2E1vRg}!(4XjIFFT+c!UlUHk+^sLwZon+Afj_+9A611}!LZ~-K5b8U
zDE(e;1blHWMmHLM@b>2UG`QaSIb}GU#uoM>9lqE5$t(_bn>rI*2){C3VT^>IF?b9W
z!xkGj>=R+_yK<CGu$4)U7s*xsJ9g?79LZnXLGoikJiGeg7RS=y7&ygR{qg{uaOw4j
zWcbh&^S%lA{_BTv@$i?2%F$EshRt=8Y4E$l{IkE{7<Lhj6qxdLK;{ChoMQ0nA^cp#
zmEs?Ky0uI<4=%8HafMG9`{jIog<{_5UyVE#PT0a&%uo^z8$RB^4Ifxn`KJauf0eM=
z0do{iW~q~WD6n!TtSULXqyzsQwLHNBPajIXqYvMscvQ#+&#C3ioq%%~gLN2Sm#5lE
zW^k9mKo%2xOxpN|4Se!Up4w*kKgOllGw@@jV?XKPUW+ZNmth45wup@|T}9!DCrq{T
z(i9^+VBNJp8NQQRuDczcDHQoH5k4t!d4(KL+ar1PTzK`uGfRG$lP@ei2M&<uD;I$6
z1tNbJz!~Pw?BejQ&JV{P!mqjdFG#{acs|{G1fST=)1?4YQ44P<f%krh7E*!@?+Ke$
z!u(b5!w$l&^%owM!}l&3d{KvEN?bNQhiOF94(q@UG(~pRu);^yG(GsCdj8V}c-h1D
zpE3NQdyJ(X{=_qEVhYEe{^Il+UXK^AJPmUR?r3U)GnF4P*ua__wsCgA?6=o1Il!Wn
z8lG*in|SDJC%A5}N_#Kdeq~Rj7u@|TE`ZcuS}PyD21gl&4)nuXOO!_g;3~Ev**@5u
zUTQG}&KrpTJPQAPbJHveepmN+{|Ia`p2?O4FZYUl+j9-;`}vJt4`5w0HBCOasAkiF
z2Ds|2@}e(XGZ>NC0@s$Q8v4N1KVQ>-fu&?<3p?N!X@UiVFuxp=VK*FQ9B4O2oPB0(
z1(rAMTK@<aow<<n51vj-Dj9*7v;_?qe9+#?A-xZ9&n=00CV0!)+`pgUhvE~Nys$*_
z*OURccjAY}9#|~(_3V3C*0D8J4DRgN5ZwzahIXh)!s*MS<8R?dfdz?*@N@YcK^<_^
z=A!-kVN<`=4_&a3e|U^K{Jmbpn;hSubC|p)tS7OxyA6&z?QmNkHo7eD+6Z%$oRK;X
zd(v!gZieSL)kDnS2?OObb+B%)vZw{zM$J|80@kS6dGidMWvpyg4Lc1m3);g`tp7HV
zdK0RyZcn(&hxL9XTydw#(;GIaRA%jjpZ&1wZil%-4_)mi_OKIcg<Bfrgvj|i%eZae
zJv?Ng8cxpVlS(?-0eI=}fss*|CFD!!FnriuOLH2QbLjv25oUR2yzmRAqPY?M6V?}U
ztyzb6TbOB1!P}o*XQ33q`kz%KZ5Ezs3iI3y-^^rOB=z@A(>v(k@Z3+jOK|zN%7mS;
z`Hc*UIrz-&o@p+4{n`1GD{#z#&jx#7qs<zRNxj_T^*lkC@jnLI4cBo#57N^~z<W5q
z+WkY$@<`^46#Q?Y;3*CAXIJz^)ZpLv1}LdF>$rCF5Ny;--$)BrQiqOe!EzjLcW;D^
zPgSev!r9&_ml@zP=hvA=@WEw^PC9s*OX>JY_+!=ZH7-)Wq*G=Er<<q0<$yPugwff;
zuWC+<^1(@^h20ln%G#D;Qg6O6C*ltOXL?IP0KRpVI?@|ve5w#j>MfrdjQPOX8FS-%
z;X~Q}3~{ia#l#}X_f+=VC%_l%GWA4ZzW?Y=tKfjLIOg4O$k>B_6~w!SYuI4_<(#lS
zI8lF1fVAK5fxL7NJnU)EMF~rVv6xT7@pl_Olk?pdoIx=T-*jgWC;hRX*>>+=crD*K
z<r|!9KGyvQjuU7&JOUTJJAZonUVL8bI92oxRtp%TW`kX6%TIQ~(r;=VxL}Gd=Er0_
zS~48P-`d3e)30LFTlg2X-QyhCowm{XK1?ymLzfE&1(-Z3f-m~0%RYnieuupzd4%-V
zh+4QRlAWU%=63Zkd;>p<5_t0fuA<Y-?}WpxOZXnaAFeNNeFsM#EWJ+ZFS2)@8-yvW
z_w`i38FqoMhv7yqIk9qBX4#7OE8H?#ee)UY$jut`4c1V6{Gke7Eu9~lhClpLkZyow
z%ktIcVaDqsx9i}ydipv4V42_2U&!^7JiT=zjVPW+xN|9gg10KaZD4}UCgaC9;r!2?
z$r9KB=WAR!NXF~6z$__l_+aALLDHYDR+r-i;ZuL>QaRymJn2i4@Kw2tUn+26vbVV+
zY#Dt?XFvQ{^5ZRIn7{3%ZU*d7@NthGJRi6=dl$B*;Y+lHS?89Iet;#`=wwd7SJD)J
zeuSUDxKQi@bJ8BykoLv;V(l*TWmwy5V}=C$B_>cL0KVCIGQ$Smq|qD^1}9QeFQ0}V
z)H$!Ez>bRv`pNLOzIxj%m~l`(FA<)9m&%$8?;D#k%!NOf{k~cR&rb#w<iN}|_T440
z&(EO^g>boBy<8>ive(1>Asll1@k9-5A;(Qq4Y$!U>Ar-GV@s?mVKX(RwO8czYo?oD
z!wP|Jww<u&^)Gf!aAv<BYaiUE7ewC=vwj)9`T=hEPV3MMdmB=S4#WGn^O#3rf4=ik
z6Y%cO0?uFHdM5F-pK#boI_DMmaKfFn1(=^VuyF~lv>kl30^j_~ev$SDes5Kv$3`iJ
z=i_feU(>+;J7!&}VV~lzT@3K91Lu0^;LY6!uF}D!eAU5B@V%H8UM{$uUS?`L$@`>y
zIN(*L#5-JY{9>iRUO1+KX~Q14$(+Ma2=@MZvrHHk8%`712M1eFY?p%foLdTzhmWNC
zx5~i|`d7q{z>Nb`5-Kp~@79pR@J;#HF9%_9RSjtq*m?gBO)WT?Iw9N;KKP_;Sr2x6
zOe=2($N8&Tn!v#+Mp4%AF^z2%rtqDa@UIT=7JN;~3a()2QaJ~oEb#QOfjb{<jJp7P
zh*G_CfIrh7{eB)c`8F(d9{#iJbI=3s)NoC3gDFBQQ!c?;6ox-N;O$M{etN+i3ZD&q
zVD<=JEl*hDS95_c%+GF|egigIKfxGGa<<?_ADFgM-RTz0F<q`31gm-3Nc{&(JfvGA
z^^qJW!js|VC;N<V!HI2Oe`LbnJWdyq`iS!%k7mQ?--J>`!rhB51rOnCFCUnP!yfU@
zG==b(Q%^}8Tz)LPy&9Hbqp>6Pi+wSI&tZ;P(aJ=ag}3NO8~i0--zf%Oh^aZ+0Uvti
zR+|iWTzJdy5e^IrxD*c`fA!t*GpyT|)076k?7AJl06SA>bdkJmz3|5pEaX%pa0lM_
z{(1REaXi2Ok^SyJIDc-OVKdBk>$zAaEOUC{?RGefBjHmD>|re^wG*D6ERfBH1<YlZ
zgyHTmw=wd5R7ac*Md2$^A^Y#cCs}99Wnj-*yLeK+_D_OQ9v))!oXm%Z>Ypj;!kO~3
zb0lB%qe;+*EADO3Du9JQg)W)E3SZmqK7bk0`VCLQ|1t&_N?`%|)7LM+iobX_JcO@h
zKIy**r?-fncm!)lD(t@s|HnRFR1CZAN=WdAb5wp(R>Hxli58)7N#coeQh$tf^+`C~
z`OAEBH5``X!x0C6{=3PJ)QfSBdnCYV_vk9?V9p?icWLmA$uh?0@SQ*X(i!mJ(37)G
z@IIAOiTB|cvs2F-NM7=0CJ**cIkl|~{?c~bxCExvUq1gDPOaCZEr$=Z&$AA~TG{Q+
zHSl6)<b{5C!qUX20p5Sh-(?1VIrHUH3mkA}Thlb$Oy^WK1Pjczxk&n9{`^L_eH4CR
zZP+9RGn)p+&chdZrnfu5%Zd9IR^jM<_Lt7W`TP?GYw(NxCQU9d>w)w#8VQWA@RnWY
zVS9&-PFvvF+gY!!!SUO?q&VR0>g!%tVD2>e+ng|8_PIB{@chA_Kl$L7$?XC@aQCZH
zZ2`Ebz3f^b%w`%spbkH?6&&({-)ET1YQk?)X{B$%tsV6%#_)XX!!P9ZRTL>FOyTtP
zP=z44VM@2^H0<-fCyLb5bBeIqz*iGWzlOnQhK8;>z>~QP%D3PxTkCq9V5Oq&m}odR
z*F(V#R$pSCihxV|%ws*^G41ICiEyMA)50~_uTAK`IC%B)Ujtv*`TU0OsW5xP<FX()
znP2g6GHkau$teupX*D|i01i|!d=mrHD6(nh!hFI9KPABw3bBXlVD9f5)HC6B_L{V3
zaNMkOR|Om%)%BgxANP}iqjI${W7qe?^l(hY;A#t;aNzxS1=vWi!MYosF`Ygv2gkj4
zXnzlL2~Z}TfYl~WNsYiP5?g1CV85sHho<1-4@N(nVL{Iy_kY2>(<d~Y;Q4qV*S|2U
z1LKc4IOe@r50xa^Yp_`}23}35sNDrmoBWyl4ljtrnzO^dF4M*Sgh!X!pD4k)8@+Bh
z-$eU!ybWbw@lXFry28)Q?CX??D|G{+;e7{bEacz-Rp-5N@U%STHuCyp*~Z>%I8{2O
zNE%k$KjL#Ao=8hRs{psm>=&qjD+`1+NW#TePQG~x2gc@EkouxED!v!+lPu{a5xDOA
zuGW|E_2N<^F?jk{>+W`#p-%qi9#~X!q`3p`m@Cs3f&-hQIp4umRB~h7@b{bdUJk-8
zR*w$y!R~%WJ4WEt3-_<Gz^N=AjuY?@C3i0yeEvS)^BK7G<>mY9IG;sa%1@Ty4S5qA
zD3QN2|FL;P0FHN_xA!}8|1T31w6LgPl*CVXL;D?5CYUQQ#WN8OYC9?~1s`-g&KVDf
z)CUg>!OK1Fp;zF}_!K`G*h;zd>s7dS&AM+tY<J!Hi7h-}d%H~?UX;#eIty>{HsR5Q
zzjZJiJpo_7QgQJ(e6aRV_DS-3o|}zkuo0E}f#a}ok+_Qm%+7Hy*$Dp9w_JY)*0buA
z)rFN_XFJ-%S5r4c>%;5LuFqZJj?aR7kHBKhZ0FoyOZAh%S}^bUmnv_#?UonMA(%Ta
z#P&M;jOl^TVOa05aYYb($h47N1>WhraQYS;N%PxH6}}eO@HiUg(cMC?2(xXoGmnFt
zdG<Lf!Ns|fC8_WkdmSnnc-x(J({$L{?y8j>JY1Msa35aJ3;H7l({GkHegNyVmYPVy
zZ214pO5yK}RWm~Hrc?NZFC1Vts<Rh9YIpu#4a}7>F-Gohe{Qeq*1~IBw;dw)H&5oy
zyUlQf5!28vcp}SIs|9{Mp`^$IXXHqycf(TRvOPQC_S6>|eei#i7UJao`C><0$`HIR
ze*85Hoaf1X=reqm(TkrQ{&4A6;spHD#G#e}_LBEG@C|OUjN)L1#|!l0=HP`auky{X
z^1D8z1$bju2IE$EswFq-AH0<<D4!bsX(6VtArSMQ(?gm~@Q2p5a9UWTIPC5^nIB%>
zl%azYg^O1ykk=KP++u;%FNFQKf_yi_TM2gf&Wj#BQm=E!XFw3%%#k~>1nY6H_=&*3
z=UUZCy`ICHK53XE>YUeiSX-@uUlHDx71H|y4&zMnQiGdE^<BqdUp9Ikb+~_*Ys)0O
z!FA-a4s6VGB(n%Uyp_Gw8g@K>K%)TOJ+EkS68`Rd&-)HM_x$5SOV}?gXLl-m<o#b0
z6S!@{w2I8{dv<C6HHGtOEUaSSsbKrOWANiEZW7mEt54GDB-e2D?<MPr7iV;}NFMbe
z#DlC~#yhUcTESP0?K{Z&rEB19s68BQo=2qy*W4}YcZNT03A8#yUaxvb^fH_pwCj%&
zd{*jNk0<<}`LeMJT%uDT<OiSI&l@HVt7wm034%+smcL5E_m+BEBj9JnAvehSE0X$~
zTQr<EVmY`MJ|Ov_ISDq_8u#FbeY0mSq{3$z;zdY(he^-&0{Bn}Ya<VQ^vGCk5y^La
z-%aYL-t@Cnz&+6pRh)3Sz(n;^IPB;F*4=Q9$ROhjIIy<7m>q7M7_WE<?~JfHOX^ef
z+HCq@Ube0^7I-}L-KKZ&+TPq#q`rHq#qu-kU&b`g0AGyg#aFNJ`|_V-$C%;!PR(ZD
z;Lo1AQ)E3F=Kf}V8g75bt+5qmXs<U}faR_IKT*Rf%1x_FaL$;q(k7URx$5|aApCxO
znAUX}>s^~IRT(sJR>r{V75Mb!;@|XeFSGcW->~P}!&D|XcVYE8SuejB&79c*zj&2A
zHxBo)L><@-JAFN)KLzVW1;+`($J7fazQ8K7UP>acRiLN(D7<O!r6_6mzb{ooL$J8K
zjl3L8uNA0B*5^kbn1!p5{QisXcko?~BhqT{1?h0H_b|g|wUDFmp{SS5J#g}{h`0`X
zS?xCOTi9HWKfnl%N~^1R1G9wFiJX9Ux`(iL!Gi8IH%`MIZ=RIChBvc+-(v$CxA@SJ
z&l8^4#=ITj3I5#sFX4co*F4VfDQ_7IQXiQAywwM`8#7s`hofXN-EP3YR5_26dZGE0
z<`9@af8Vzn*l5J-LKytnI(nr6&TDaW$%Zq3W+jlkME@wueYmsr%99qDT5}ikJJ_l0
zvH__N%w4M-gvH;_T9Z7jVzgooUKtzv^8)@;)O30Q_LGP&X@(z%m2KJ>jQK~`PrDAL
zTaPQIg&$H&u9Nm9-|;u&fbC^iQl7z+(N^o6@LkKMW90peW^^Bl!OCe_lU48?8{y-U
zaKT;KKje6gMCc5(;BAyN@g(<=npn_*yUPOCNPC$$pJ}_m1KLNE$?;KlCI51Th1RbM
z^uie-^y&@pS2?aaa=z)kXD1tB&*9nOLAb}@*7zd)`a-}p(!bn1u91IWu9E&U)9`%l
z4cQYR_`QskeJdHC_s4HX7{M}DKV#S7w<Z+w*WrMy@MZG(&A^Bz${TjQ@V1x^cDnpZ
zF&w_8FRMkak1cskpCVxAqxq*uemue9<9)b8>)#v|%zXM>&;$4ex8XxtxVl|Hq6+qt
zx}#13hq3Uzt$`<Wn$t=Bfoqg|8{v<qwkrNbd$tJu?P`VtQsm>-VACxh1v+7eTu)K*
zd6REfUwb#)S+Xa2176R*e1hjUd}!vR^dIEgs`Oti!2aG7>Lk~qnQmgZh4u|H4w38E
z&ho1ZGyGBe;SX~BgWi75d*QFG%^@Ubbnx6J4(}0J{X(wqhQB5b^6*3+iw`+}-wm`G
z_Q8G)*QH6l<lx4qTCm;m$kt!5MgAWvUHHk?1_4t4Gku`U7-naBcamJsW2c@_oPuX5
zY0Jp{Ky@V1)E2h)+NwvcXR0@T|IWbHF)DfFen8V>W8?zAu~Ql({mb=2^sXDM_~@J*
zxqipY85X=@5eBO_<ocDco=Lk7XWa}FCf9HFm7ZTg@I0TZIT^3_lWwbq!;S5UPssQl
zR=*S<2k&MMI7Y^Il8x5>M0ob|gNL=Sf2eqLI{eSz%7+qI`(xiwHcWpaS>Z9fm{KEM
z09W~Yb>_p=-Qfd8aD9I2-Xi$S7I*Oq_*?Ilm-k_%Jk`FZ@K?U1-49@$(}E%|;1KN#
zm3QG$>tCHOVb|x8+j8LixPd+GaNrlKf;4#3YGzvpyno{5vuyZ;qFL(%OfMRKg5-DQ
zx!u0OTiE~Dll<-Bw->2G@x02rd_5JW8%Sf{2&ep_tjL6KmpRq5!>)D}$CBaLCJ6@)
z_?ylqnsm7P%wMLxFk9Q>^h7xScU`3z{A15X6Y_q=CXu!WVC%An({b=gI|JH-Fhg|j
zQBps7Na3^={A8#5a3rkpWPwT-R_07oj)7B{KbjfCj2!JQH(_;V<6JZNjKS=yK-is9
zWz_~A;b#4F8IE_nuVoL<-<CJI3g7)1o$d;=N$LbU!U8qZ-#p;{E{9?Ae2cDsK<zs0
zx9vThBAnJI)e!|puXL4?=W~k82fRbz>>9aiyJ79IPc9_?5v0J)1z%R3*iLd<G4A8^
zuq^k~+1s#X(DnjGc*o*MRXi-z7JQf%u5`Dy`48S?7c)r%w+5c2Bky-2Xx)De&nw@{
z4?T*3)z)S|Y(U<oGO#fPz8G)d`v2#p#@0U`zyZNBE&ZquHLz8G1aBH2`$L|$o=V>p
zT>%TyH<`4;Z^d~>Yhky8=Yz@f+QVPEq#EIfJDS7KVgHT&!R@fENSs#%tm7gg)(JN~
zbm@Hx>oG{)d<Un<mODR!y$1b+-ou&$k<DfBf#u-qBk&#H+d}`rLE#VBe!x0j76Hld
z`h~~m7hvi4j|<Miwu-`wo5HXjx4g8`fmldMmkDm4tWq$8zrPPkVuKAcJz~w_d)7(Q
zyWr5Z;upHGyjTA|emHpQEY~qOH}+ekDE#Ta`=jLfd(R6ge_1%U*+gwWJa+5oTV;4C
z=i)_CxRu(T_Yl0aiL+H4PO!e=sST$%@!65*`|ToOTzc@G+4g6`ur)=tn+ZIT+BwYu
zA1^9?ehTJ0>3Nh3PUC3VW(PNCxP4}Y4Od&Ao`pZ&*uH-|Y&$wee*xY$PjQ|Wma7{+
z<qqr6-fP?fV|%~&8r&}*Z%GC3R9H0eg@-Q4Rg(RRVkwsVV7R+@<HRENGZgm!T?mIi
z?YwvB4;<36Q#T$yBynqS7XC4~Wi}CJtmT&@`yrdgMUG^^J3A=a$$p8i#rEmD@PnJ_
zf-|t=sKTL#@QEnT+6j2FmUp56PCv)YLH1kjH6BtahbLXfN=IN(>b)Zs@RXAu-56XQ
zqN7*`w_iM#^AXk*mHPMs_K%wQ_ZiOJYbetSFUCAd9DwEI<ObT|lfBx%-op;1C&b^v
zmOTuiz3}{Qh2D3t)4tr1w=l&HGvQ%)Ue^9v2ORQUzGDP_@ceII7kRy{8UJ^<@=2vj
z3p|w~+wucuIHUin4bF@(-Mt8>ousmEggN#~HZH@l!pT+5@Pia14vKKB4>`0A>tMD!
z!gW-z0K><E7qCyL9_v;(_^r%`$FSzT8Ea;^=wE~U6WCFJ?Fk3m@ZXkmWWS8#e!&KA
z*lq5=x(D!Db<YVQSpIa^&lET?!!k<@HlH@rz60}X2QSLOFNK4=B4OtkO7;D)!FSr;
zXt=#oEJ+<U`6EDi6K=egK5`URn8~#agg+i@Q9KU6>3DMcGVF0$Jn#g(v?Md`3F|hS
z51fYe&C7i+!eeH%H*Da+T&V#!I7L;V*Ab39F0|<kY;rAhw=1mGm1%npZk@06@PxCr
zv;8>@Po`UPc*CXD5ym#Ka$<z*P57jQbATcI>tB0S2<%J!dB_;13}0i2h8v}{F6+Sw
z+NtHSu*}|?j$?4JQTygpxX6gx{wUn-d9LIRY<n@bUK@V+H;MW_EOK9eW<Q*6@xmY<
z?wPOAJ^;&mF5G(zb5OE=k%!-w2J1Y5&#eARB=y}IKj)iZFV;iivM|Np>#48d9knI5
zNWJrwM>AdUk=~Wv67aFu1Btz)-hZH123{M<RU3s*W^p=;!smUY$Hw7}&sMpm;LWkA
z(Mxd1q(Y@IyndfwegzioiENgHe^AxSvE0VzUyj<-B-bv|dd~(2jO@NZa=YP?K?#^g
zQ-hl1yt|$Kq~W<mQCDf0CPS{z2>u>;m}W1`6#Crz1T0y6@FF>$J5O(Rc*3W@$_<d?
zU2&Zkz6|R(|GaYq7X7ckCmlZY>AS2NeD<W1*Ik(AZ|kxS{Il;6Un|U|Um1NE4mR(9
z)eZ+;^UowXpN7e+F}P>UR)OS-R+BE1uwQH6UDBVbLJ==EN8s~>^#essxZ?+p!&X?t
zVRD-EUyY3$^Da1OV|k!D+?PXL$qgTQn;K8@gACUz_Q9S}7JEtlWsJd684g%jNYI62
zX!1)f;goj|L^a^@umh&nFc<%GT_gBg*3J{Lu%Mph2x)H;<)f8&*j`6Q-vp*CRxx-2
z52n5RO4@t4rgy#)7L}GyA>%cTdq?JL_<2OFBze94!y=6~_+X687#W}PJ+nVQz{3k=
zK4g4G3<M{9f>Ry#N|W~+XlhZNffe56ydv$Z)Uq6%g?TEue97?ztz<?~M&fygR1^z2
zzHfh|<Y?fMH#)AQK7`UZj2`AuucRj9*}?vc1QRSq>0wR!OLUqlXb0@;_I^PT4lR!s
z;e>CSBpxUI?NRyo20vU?yEIP5>)}!5J%Vsk<D)}le4jjP?JWVfiZBj{!*>_Pc1y!u
zMz3Ya_#K+td|3&8@R+BCjK74*NDdYFu~qyHQh!^$|D_%*^ZF~RAY55)=41c|MY0Q!
z+<4`sqa*CbXjvlwQ&1dXaE4VXlH0`Kjk`+dgWxO2du>TB|5U0h1nwQ+a3}fG{G`X3
zu<~tfT9P}x-(i*wyE^tf7lHrWx1=nCh4-u&^T9ifhVq`k?y|?ul3c&xU|t8zyUBTl
z7oMZ6*XxGWmtSuodAl~B-Z!}E>-)R^&v$3dPQwEg>W|3r2B}cY(nMjtsMbD8a_L;Z
z|7c<Hi!~=n9-8_wkr!SGtNg(OKTWn!-UE+Fp3Wid%{!MeCI=@N8!D0SQydv)yR8VT
z#&l_u{Ed-Y_;FaTt?KhG__ys3Nn=>Y(=m}84@;oP`!g_mwYDfHoW*d@&mQ)^(XUMM
zu=T$;{NVG0h21;hOzx|D0^rQBv$wcm#>7V*aqylWGP`!b;nI6AC&HJM-iVW&BFo>S
z82(xo^OAf&graA8$0N9TM6Qpt_x=w39j!3!<sVKY7x~oqydBOAPP;~Oiofj7$KWV&
zZ6=a4n?~79!VA0<yd)Rb{bWlKjprZ3ITh@1qtb~@)NoVfxmV<Pl{V&V+y$3L{Ievv
zMHojRH++Ta*=y21WeML6hv4bInpUL!tXA{)55xJ+O#WoN{ZPMg?+V<1KZK3cj~Fa#
zd%?;2;fiGZwNZFz<-@G6r`yT-Ui?1uqY%E9FET^!j|$Ef)1TnsvtB`DycNoPi2VYG
z1pdq=*H3_-Vhl?R&X=!<3aLM}r&^vJUUROXQiCNXS3jx2Oi9DZ<oc60@()sn`Ls3j
zRbkW4oInfsVAxqTk~4M)iCDpcJiW(BF2S!Yd=-|sGBKtA|5wre#v7)dwf-MR_Z^Sr
z*T(@IC8MDv%8F#AL1w6|kgV{tv&!DGDovH_LPSOqWy^@nRI+CwBb4lwk<rleInST(
z*XMiRuXDN1waz*BWrZB?mBUj_5pb8WeF({WH@kW~giFe%5=hRzBg8!i7L%SlO7fZJ
zZ7eTgDyQ@$(mp*05yuX=ZA+Y(6wLRjaC;}*;w_;}^2pbX472cGA@)AfK8_O2q93rs
zmABKReV@F}7t%eze4tXoO_DRyjT&u%J1=QOlAJGT)sPpqHsBB-`Tp9=>-;c{NB1$3
zCyEFEm4jo>$G4F7=`U<aQH1}Uw-_SrS3kz~)D(8LXZ0d^Wl+3|Is8g%{4U95GF~YA
z!ee$ZY$SKQFF1V}HWlIRAp7S|n{ae6{7k#ahU}l6qIoi5@L8sxA7x>_Pi5h`aEe}-
z9Xa299F`H!hv{s&MdV>BO@)Cz_<3h~%`sSv=e_>`{ETk=H#xs=@-4U_7=iP}zRR}y
zFi$OiA0O;lG5ppL-rUM9d<6C>@IFlLca+XP2s#Mg(jN)5f~nI22gTqG<Mfv9@NrX<
zC{lm-&du_Ru-S<Age1)W{8{8Jc<RxP#G~-OlRR^`;S2g37p39HPYaDhU^+T84Jp`H
zLF!c)ti4m~sT`b~V;q_Qn;iJ5F9WZtj*ch6({{s|itv=urZ+jT@>O4p6Y!${5uXB>
zuTGO*3#L$c`>hntjd*ZD9p+mzJy8K)DZcz#54MQ?k^UZLEGpTl1FH%2d?V|#PR!LX
zB*50vcQn7k{wB-zaqz~AwiT1Gl8JXk8O$xsA-Dk7<R!AahAAta3@yW71`Mm~;T~OM
z^>z4_<`uSDSVLgn3kp2nP+9A{wZg*j{X5C?Q7w&ULlZpWo9;@Uk8&L}_IAP@^%wef
zz!q{gmpb7390^JCy!CbNcuOx_*1zzS4ZgB^R^T)ItG<4n1CCkZzd8hqG{|=ygxQM~
zMEYQ}e6FKp{g%MkuDio9uY5G!2{<Tiuk-*cxBsfO9DIfTN7yL*szS0|1@2Io9Vhjw
z89M^WdagCv;D{wyerMYfS??8S;y*nPSF^v<)`v?fwB&!mu~xUr&%wNkijP;|z44x&
zR&X)(XC>N5T<=~=4%x#RsWpkz@Sj^UOK$MYPxb^(*wUEV!WW*4-mt<3U#r|&ei`Q6
zR)1zcoagbGpR5O4_?nT*4XX@}_}_-3Q(b-u!g6je=YnDJtTTH2u&UeV=l9`Yk=DPG
za9Z2*o#c64S|`mw9KN~rOJh9zTAG(q89s45Px2Y;?zL>J2yZK1oO=N?R=aJ~gLz*y
znB>8YyJXGI!cAAan_k0RG`uf8;NT+$Qq}N^(m1^vT;g_sm5gUB8Aavg!)qyAcggxM
zR`xUWdGO45dBh($qoOf$e-!Q)ToU-m`Ys=X{W|<G<?lm}$aqQP-}+~&utE~W!4)_}
zndi(IIBbu!Jjv-i*-u}9`&uYFm*F8DuQ?mILbOPkjITUtV^p{YZ=!MST}AF?<}@Az
zOFnx$_Ycl+HXluamG8OxlRWxCNk|&p`$6R=B|gtTrZHFx2h@$<BkRrBOP}9qfGq;`
z6G^U}8Rb6=-+MeQLUK!{S;0~AdG!k_B%dGn%>NHIb)D;7L(VlI(n9%={9efY2Wj8#
zTdYm2FqP80Kgn%aE_!glv0Z+#B=3nba+82P_bePFx#F9b%*WvF_y7fxpJ0h*(t)$)
z<~vFI>pstv>cQ+=xm2l;M~1m>^@hX!{Q5}y<o?wb_`=tD56+YJ(H~2D`2bFRcJ(&N
zKc8GTh=R3~T9!8;A8YZ+D1wWm8H33F8oJ%4T>{V3^(T@1P4WxPcDSmLNtEQnGZa5R
z!rorvsw9v9-nB3dhaO?>|BZa~!{OLD_(QnPL(=|z3bqOq(KtTTeFez&g(p{xQ^D?8
zMkh!f!v0{C4HoeAY$w~t%QzOo32V%}4*CnnjBrRCfnCd*ILQ7#Yv|E00#BEgiITkB
zK(SX1{vPx01L<EW7BM$8VCH>{H^}z7hBOJ9!P=B~69(+bxVOy$HvDJRMEaW&wcaIn
zxO&Lg{0DrVHg&HjoTQVpn|z<t+n&1Huz*Bj<_zqiAm|zZKQ-0iB%j~c6JGrS{%b7u
zat@B69kR`Yg+f$oNqg(2(yiaa?T_{vlic;?+U8pLbop^NlGC_W(+$Ba-E<pB-qo-@
z?;9N6=5&N?pKwrgCQ}UVKR9{c{{Q%?9Y4zgYeq<QsNwH7-Doea_z3eO_a{&4!237;
z2$O?1eTxvVhBsPw9QB8@?2V(H;5QuVAva(jtt4%-9<a?vR{Q}x_1vM-7fw~p3k!pP
ziA1tpfscFg4M)Q~w&sDiU{CLdvQco(pODep@Zt>JgLv3~o3UO99L()G84E|`hP(`e
z7ru|4cnWV%G~P?r2acasf0P72Rg3T=<I$o<71Ph*ce^Yn$$0gxIS%Di*fXL3*)w?8
z=0CGVu*$JqMzS98!fSoi0@#&l(KQEtQS&ao4DJj0@TCY=Pu;Uz0>@rtkST%f@q*53
z_+j1fiz?V^TUSaYJX<QV=`F06e{%H$>^r^5lgy_jE(M=`4{tuSDTK@~1T0o-eu0&F
zzO9k@M?*217rijO=?Mce|EMMH^yeG=;V@gxSJ*x)>%SpbrFHN+ng8G^@>u@?M|-@P
znSpno%r=;X8;l}fEWnlNE)@UZ^kyGsG9PpAOp4JTxXW<tBAG7|`$w6xF&6h5=}lkB
ze3ER32n`j?P$c||9;T*H*~kX}u4lJngfFzap4$!6-DTxrfkP~LHVMMsj`R=6d~}AI
zvN<38%7s~-2ab~cNh1j-?x!y$^Wk>K87;-&4JV>m$b9<KLfax)SiUXjju@OadVQNT
zoO3i+j?BkDZs#jjgH0bk&yj;qvmM*63Ofv(+@c6mh6i2HhHW{HT~>p;=pI#Q!1f+p
z-RiJt{n!qDI5V{ElpcJ@>xY9boIdN3qECF|M3o6FIO@E^3|2p<u-gdc)7|B20go4i
zIa$KPd^^6_!Ux`l)|kOVNfpu#@VN`0_t?T8wMt*O!*5bLJTAbUpBy)N!XXdXYMtO;
z7WST3;4M@;xE$b33wt}R!mcugo*uBiF{j)enC^>evn%Yr(vuJXuUUq1`@*9#J)6Vf
z9I?xny<o<XSo;U?5$ej8t8hAXT=ygRH*G5a6?n4LT>LS-fp_eRKb%l(k@6HCHLCw~
z177nLq9p4fy{qX21L5kkhg`E@Xa2F9cVX$hf17gPTfMwpVKCFDf6}kuVE6UIA#h&y
zr$;65UN;&4C^+iG=S^?mV^R$L4`BWM`4`CgNR?Y^!f`P3Xo*}qtW@>=E2(E`ic9<m
zAC%#cNPwU0O1k_FPIgTji-8A!-~0R>{*R+y<_Wy5IjC@veEziF4EesW0zbxO_>Dk-
zd<v|%#c!6ZpV_ZIyFk8=V$n;Tte-JH$ElJA+v(VDB<q3ZE6UOz!!F#eR%AVqXY=S^
z^7-~FviH<s>X?p_X!sZ3f1{f4rr?z=NwAF{pRhGN?r@Kpv@efMEzA}!_fB^pdA>8B
zgEzdgn#4xhC$Lqg&KK5{sC0b_7mo-%3xId!rErn<8Qd|a3W7&Ct2|R-?e7u;k6@Ym
zk-TJk*=~EtK8F2-vo5`WXQ<3Fp28tj3>~DNA~%sX6{gJO<I90{>4Lqp;H{2#u4Tdn
z)oq`0;DY41jsp1lN`(Sh&sZF>bl@d?sGK&r1P)`Oz5W_@YhK>=1`d@t*Zm6iNK|%y
z3x{uT6{>=Hg2nsDddHjkRsQ9$uG!a^7PxV0K&TnkV*Nzj1%LZb@OA@yhh6x>XPAdm
z@^c3~TENpW2=l-86K;c(C&t3Q!{3#nJ`cf4+Jk?{`n%uDAB6|tc7GL<S=hbw%k5FP
zx#nd3PuM$Q_m^Q}>TLd1_+KWM$TZB(llG9T@0+XA51fD>xb9w}#QMJQJ?Fm6!-wq{
zt?1zMW?|xUFh_OZo6RuOhRDDbnCju}!({zngKyQ>CD`Q`MJQQ67-aWW{4c4OTec(X
z6N4zWjgtDQ)XTMeumkrtX^J?EN3eK_ABOW34@Hprzk%zK!tldfp;2n&lA9M@Pr}(x
zOruHt+|}DH@^H#=!%14$EcBY}Y1m_ngTf~G*_K_8&%icI=cBj5QY#E}y72ZTx7p3`
zX8%mv|KLA-_6kgJmFn|OQ}~8~d)y9K@T-cLIc(W!JG%#7x~cTk2CkBDRAzx!_$Ddr
z;rsv0<MzVy)WiKgBzG}VV}-3V@5@|<@7SG5+y@6tgrwhujlJcUNqxfOleD*C`Z5tU
z0r-8PtamV+zqaowFMRFd(x*^ZIdI4FAvnc$LE#}>zWP@~2&NXzO^$&@KTal#!n{;D
z3`wxp#f~*$SghC8B^hqP>HHXc`nGHT3;2uulT-;f-R56xHoPy_Lqi3=Hb_NV1TRHv
zr7FRnC)#X^;cu@b*3{wX<DH)>VV~A*XVu`s+gBsr!5wrxtH!Y4^E(ucFwe0}ZA18w
z@b4?1U<wMcCzs%L+O3m)aQBY&6>pgPOz-m{SS7JMDF9AcnA<fDzx{Ay<u=UYTz+&8
zj;Uf^On`;DKR;Q9L%x4hdkl*Ye=z$E^RERgWWwLr#+s;vG5#cWQY{^Bt@%Dd2S;40
zIrSF)_hz%<4*2RzuY@Z2a<rT%2YldAtlR|rSH?4WKg@PW?$Ic$vYcQp2$$dadU6GJ
zaOi9nhFRio#Vo;Y?ps5|;R4;gC#fIf_p*hmzhq(e8>P`y@a1*~qm!^^&)rFS_{(fs
ztup*rf<u88Hrvy}cN%8z9ecPPKEGr0Lv47`_R`E&c=u_^B^`LXzJfe6T*l^QWej^V
zwLaPjXIP|Fo5DgG(bH`3*w&FF7vSBpoJxD($VS~+JNWMN7gK_;x=OUE8(f)nK#?D2
zdh@Z&19lmli9P}wGqW7H3=8dYoIMCT#Ty0s!444z6~y7E-v_OO;pFr^^Q3;l@jy)|
ze9+*tk`&y0&RO&!oFb(fPwK4~$|GXnVqxkZ$KhOe1=lp#HmN(2)Ze6uYk2_|;@^nM
z!TnMFvU%{N-qPt4@FuBa@%eB;ZB~LZT$kiWUkabUL;q6|*3urZFNf0<s#Vot&xn1W
z-@z@ytWQqE=d=SQKfw2-S{Kj4LryKJ%`lGv&lxTFpp-Oq8?2Mwm1qFd9=UO`8@5{I
zUDkssew{zs51)^|mtYMuRAoOIhQoiiFImBFD|snKVI!5Bs*W(HnVZWDyx3opWCw4F
za5}UA?{(o)xdey)D}B5M*Y7b;^oH|q))=qDC+Lb!1;7RsEcMhPnBQxdiN6hpv%eYJ
z0>^ZX#w5Vftb6pC;BS$;=i=aEUf)j~B;S#Jyd2i(=~du`x8`+4y@q#E9yUJ-fBKSl
za92F~M|;K(NtnwjvXceAD!4087EVZQ@)Lmb<q|oSV7uwDkGycvGn2nsaKYlJmliB)
zGw)~s*HWxCsl(|DTvHaX{TVGb7x<#X8zVcI|Co`7Bm9O!@scYnrMTVsHe4e;G3E_#
zIk@xvO}P7{qwNj2B~6Pl1wJaw))fGAxT)DcfeUKNiX!1315}$E;QJQ7`ya#GU6w3s
z;Z+sWjnCn(LytDh!}{a*A11-ic(Sq<VXLEcKMUa<;@a^i5^(<7H*_}}Ubx_JN*+$i
zJZAeEZYh}^b%43c<yK$9RweZJonbxer@m#dcn-}#7%Up}n2vnkH>>>t58zCS1woRx
zZb`bC0q;6IR9XNpnUo#KhTj&-^_9ZTL!!JN;OI#nCz8`PXtmVA-3F(cir};(&D`y9
z&o!QNIq>;wqYWS7msK_#r2cUBSNHF*?XYZ4CY*O=jdcuOdu6tb)DJ27xXi(gjYpEw
z;48i%EDNw~&qZ@m@9c7~k}4773zM=xQs8Fpcw1`t#(r~cQXj3!TDBG5$S~p_1AnQP
z+PV{#y}Y3#7OuQsV!;M$>%OsyfKv?L(Q(2y-@m+#f|n8%&+)+r%+7qj10Pk?&J}|F
zxvZ7$!3jJaRAMl5$=8bAu-rYnaTB=l%+fh#SZjAzlrG%Mn!!K;GpX~1lbri`ZSG$j
zAL8@jG9+iUyJ$HE2fLSvll;&0W6BY@S%~|a4lMWNctH!Cy2{^g4A*eD>o&oA>H_bP
zylLY$zUOduY1~J1xcGw3hi9;{!}4_lxYy#NPZ+EknsABafv@-N4uN%ae)5uBD?PT}
z3%*tDvzO$JzZUH;!t0M48};F+0SmTsu!VtOjTt;D@S%*HuMJf$xs!YsrJ%DCJgAxP
zKyp>3*sTh%gWftb$z^sdR0_egFBrFzTwlZa|JNVUcgE%a!JP@$Hw@x>XZUPI(+xIl
z9ku!jpL|gI)ED+*lz&F9$D>cJ6#ZfQz{Cw7U`;c@m|*z7@6(aw`YkVU=42R5edF}v
z8+e;LV`MZu^|xndKKxl!WB4&FlM~wU3SN~T2+D$g_cdAN!h9;LM|0tKBYbaP!h0#I
z?-s-M8!dG*-~#*4hf86PFCK0rpOQa%;3Moy^^}6-kCje$bizyDD>zB6y7r`b7CyfH
zTTVL6`moq*9zOktra6z~d|Tb=lW;s7;yy?6lO{ZSw!-^P^GTEYm94KR$|c~Ihld-;
z{mf#??hD6Yq2iWJ<#1I@j<F+bDflkB5N7nRr*eUH#1cNfg-=UpuO-15jaSc?!94UX
z$xq>~>IYBiVcLk1m{0KJRWo5y@2$B>t{ZNo49X$*JDjVlVXLrhv+9ZW@M$|%$=`71
z(`8eVbDL@$WqN|+>0-t-**}5SF1^ffj;_^alDkVJbsm9t3T}Q(a*m#=t4CpVN^#>l
zc;~nnuOiIc-Z??`*G)RT=2I{gKUI1S{Pt^|r#`%QK2D14-yb(e*^S^@4UtErUYIM{
z%@Y1jQ^Wrne!RbY_XU_e&^Ul>ucv~KlM^f~I>Ai-J}jBxOs??SBc`qrnEuSB^6T))
z<BzS${&G0Vap4x+%q>z=00$I)E)IhK7Uk<@k<U}in1{mKs#FSd;10_4f`>4-;(NvC
zaP-SklSgo_n_&vspOZ&@a-YB{-&>D9h5MB68l=D(66YhH!A&ZPnVGO}Tqkz|JYA)w
zn*+Z|{xd}GZ+Z9{epSN$|7_giNY38*v>L81{M8x{i`|M?u7|a#EX>LMv%r_Q#3uN6
zYXB#y-@S!d`3roWWh6TS&K+T&9fVttT-r+NjdOeD$KeH=_IPqX&NwqLF$vH9S~DT_
zP2Y_l{3i86YEwZlU-G$Q>u~7IR(g`ZGmaKxNyh!bKHXT7E9E`v-vi6dag{uPlT})~
zkHY5sCMqO9Ezy2m9Im|NszkOo_`fs`U$|#9{3B@(msNJnWq6a7iF+C>-I>c!1ShXu
zpdk1ES|g>!#jr|I;9im|RQKk$!BtxKauVTahY{nCux{(>G}&J?&TMC?pW^u=aQI3p
z?D9`wjRxkX3M(c1cfD6@?ikG5f8jK#57)Pdk%eb9Pv0wrZ*KMtb%EJcx3G}<vu?rS
z?y%gJGs~nuN;^z+$H7ln|K29g6NL%u*ArmcEXxa|ztgYl?5l;fTB#OEf0UtcXsCx%
zuRrl1{rj2A);&}3jvP@+@_pm`d8=pOe<EWyYT?h??-&?T@V*vDCkE2r#mf4McfhCK
ziHDQp_x&@^O`;^H$>t!(@9}q`IpXjxg}}efuwMInZF86|ZZ4RdFAFLMS1sW`n`Sn*
z!Eq&yD*mvP{i!%|JaQWc%-w;VG7VWfU>e44C!WI<EGaJ<;A-0gqv`O&BTWM2`KRhj
zrdT8VK9#n(2`(C|>u-jiM5;)3!6R&^gyvwso!&JqFh{S|$9cH2yW!MlII*dRd*?H3
zzva|N(jJbJtM$9!xPwwl-S7sdmiLEYwpSXrNdC`f+DQcVx^+jP6CP*fWm13_sUq9R
z_TEpGFIR&3G@I{}_WxkKeEvW9eoY4_IUgyrKiq5x$A>cvw!%Dm&G~ll;NLCIWc&B^
zj~Y9|HOlIT$oJhC;H2_{+cV|M$o}FVk;u3P-@oX8h5S7j^Igt{!}_gmbYy>@lf1L`
z0Nyb2z@F4!)8^KQgKr$Zyix(j9TWc<4|`OU7nA*UxZOEE8xH#$e~R>v8L1med2ow&
zWh$w+FJ^yK0zY^bD@v|cv$qb)mBCMc^)HhCd1}OZtPvjL%)3eYr`-|H@D{k>cl*~O
zlJDFx+yzH$ed0>aR|l)vgL~lg1K*F3dYxJQqm%I5(Ts{rxP{fScN&(u*u+8VSud;~
z`U%t8hh~!F&0vYTYX!Dz&e=@PZ$%X;f)uIveN&!8EID80zI@S61s^#Uyp{qV_^r&l
z8U9D75J1jXeLAO`x577HS&ot8)tP;qiy3b4-04N0_q)2s>UP8Wr;c{U!gsg>*tub*
z`2j0(zIiH#*M!4&f3owC`b)>&If}tHG1YnDFjsfwPD%K5<Ir|euYT9e_9Pr;d?S&Z
zf8qlS7!+XV{KWMTc>L9hl^V==<XFfZc!X`1UIU)Z(4P)~&o+jc{RdAnO<%eJFGt?m
zWC)iP()QkhZ@uF&wt%;8iM71~H_S0norl|73u~{!my%xn=Lowp$^GXI+a5{%>kRY!
zF)s3jCCpXMdc*XGzbd%HH9DeezVM4<zn@-&UsH9d--J61{e+$15u>Ule^}&W-VZnU
z{9fw#D42g-@R~hL@pD=+1|HT|8gPVz=<mlQ!CQ?=9529c6}?VAg)^tx8*O0kp52id
z@P<A)BQhQ&@BLdk8$NyBa}TLkrBVD=0jsL^rIGO?zkU0I-oT5RJ8UiCtJfSw+TnYG
zZc9cm$L=#dA7M+gU_DYlzdC!cAExCS`KkxAFE@S~fb*~YlQ)354BQ09U<XmXRxP-*
zSgmaWex(u^PU=GjBYl3s1M{8i8gNRb)84=E)$AXBq~7q(j*HZ37!OmDqF03%YsXk=
zVcPvV4r*}!wosSt@PQXmD+=(>LJQ`dutsLK!6|r~-zEn(*qVLn`*AqqPWKK@IOGmT
zDydJp#Pj+vJTj$oR0h6Jxo9B*Ykdq@I0+}eIYFxccONdgE(K3~*pjCNFMn(ul!o<t
z@;7L}#_X$3qA-)<wM;G8vHs8@QeW2Gpko0KZ_+FkhCdWV{j!2Zj^4d24##i)ntTz?
zzK}?B82;&=e%c$B*w#~f6sCy$`Qt8}Dn6kn1i$bpe-sEioa5U?zHjb4ty~;jcIog_
z0eJ93^H@AwzSqU-5Nva8Pk1&wAnY>73n!U>k;sGD|I5og06TvZ7<dD(8^4g{foJ8X
z?!1Hl`Y@g&`2nrI8~yOp%l{_!!R;yu0)wz!hgt^teK!5UvDP{GS^W`7F8Jru=ROPY
z1^2c`Wc%ihTG$<bj{Ap)k9f)UUH{IvT@H5IlktM=ztGluzf<7!XliyHII6c$HyM`F
zFZz29*5yk7*#KMJ=Ww@%Yo{AE>fr3g7Yi=1ecGP*3E~D;8*=>dYl-1MHQ@ce&pwV_
zhldv~D$u^b{jHsr2|3=oeD20k!-t(uu#@w{*u^LE%<vuR%J4{-X>)e$PIy-N_)Bts
zWpGeE>LC0h^WFZZa7yXfX+c;j{o@EZUy90EMoPn(-_9A4^J&JA#gruMCFjRV&cC;7
z93xcW|1{~t$oYJaul3|9`0W-+ttwcm-0^`vOgC5emR!HT-!Pxhg`?f9dC2wuYtoRc
zDZKH>YBae%Ry}BqGJ?N&A2%e|$H4k#83#Cn?o(qw?9u!x(iZ;L>UVGuJ~1jf<_eFV
zV0tnN>#^)U=?wd9_pqFTUnp!Fy$a{)ZtYxvtM5!7zXDGP&KmrIhmJG{$HVg?k&PSh
zeD_E*WjGdgDgIlu51!F=;@Xss@zRsEf(KwxBVpeSumKa7s}#JqBi~6Jo;<tujf^L<
z`Z>Kn3ZI{PReJ_zDs#3rh3}2V%jm*=`#CF&V8x8sDpOe9EuH=f{MaE-l#CBD6rHv5
zg};0*D0YU8$6In^VGpxxA@Y3to5qzU2BtgOIdci_ZQ##&4*v-5u)GPc{H~@>h4;ly
zzx9VV7_%E?!~HFj5@dYvNAb(N446k)Xe}I8aJDiigL$P7Ig|0g#Qyo55_tQ+D@WpC
z>mLdK)x)}9Zl<Kb2i*CyKfoI{4O)}&LG$4j-ER0!$#_pLeAi1S^Aqgi#vwz-2M-86
zTknUn*7<W^!%UO=^m}2a^1hBY@a^3@v=?C`mKo(b*r55|^B?dYCoeiO9vEc2Pm?kO
z=ZnWdS3kioxS~?mk#FpGP40uMVm*>rkhgRP?;3`)|NFAc1TT3GdXw>o{fBtfIA9C)
zKa<n&n_a=ltgwDdZuUHUzk*p+2p+!F#!bfmEQ-C81mN2i5#P!9hDOETQ^(-LL$3_U
z_}`g2g9HiKeubly22NLr{c!?*rlWY6f#la`Rb=4}^&Im%;dXE5S#?-@RoR*ij;Ja>
zr3PO&DE&aj2a6<sJ<=h$)puz!KDaAe>4z4)vD-ABA6{^|p=byjRRnB50?%y!5ceNE
zFnjx>D6AiPOx^|-PA^cAfvw~&JvtB5+eoD!hbMpKO*z7yzil~A!J)lV3ifbg#nqwH
zu(+zh#3eY8|E1np_={ACoDZxQ=5Wan9>2*eeIE{e|7^w_UbWSI5DJU2U1qd}b!LWx
z(%=z}vb!#Dc^&<?6ga?Af2%L7{IK$H4Xh-XeDgYNruOB|Ti7Xs+aVY}Ka#;a4VTf>
z{q%?3OCPk%!WtJASV_JnKvzeTiT+d?nnrTE*f}?Pc%nvy_AZ>F$?~2No)hrc>jNJ?
z(YI?iY-J&E^AfCef1^DY993q%bQpdtx{*=_9y0v(p9p;PpQN55?AL0z$_ktBHqtx;
zha^oKk^Ms(AD*lW3%#jv+Xk~IPc9h3Rb~HmY=>p5_bFS#HC|j3l(001dyEa-6rZKG
z5&qbdG3f%cbZ+kYgZ`uzt`X@DJ9EWI{)68)1&m&T!&Ode{(vKt-%DPHWh>iq$@uhL
zE{fm)IPIF}2hzW{%pd6wffKn_`N{aUx2^M$hwzqu#exBttDE9;3@r2X1JhU7t>uK!
z6Zm@TS)mTtuiVrx6&`%k7DA3EW$pOZY&iSq_TA)od)~t5n+Hp(hFxlf4TfzROJIR-
z6!*#T`g+!by%Mh9cV+%9Jd{-E`T_o~mg83j4<3}*T@OFY<sYbkm&|+}+hL|xH<xnY
zs{tP6U2yBEmH%GCwEC|Y2I0N?IlrdE_va6ne1&JaBNVb=8u^QxC*hZBp9~Y=u)8Lv
zbMSe=Q>97p6_4cH6}Yv+{L~}Zn|+7jFF4>$Yg!zv6KIf0m4*4Bq}6hA{!5)Y^oIss
zY`VZn#uL|;ytKB%SxVQ%uEQ4DC!g$sC*sE*lJn^i-M~c-_+7y)7ny(Ye>L%#3!Xco
zf6EV6{31Fh0Eg@}d_>OI2lA&*9)^ue%hp_BD=*1N33yMytJ`G0XKpl1<``UecF(8-
z%p%kmCJ%EaQ~fc4&$8bfREGbHwmfGBFaBvcss)ei)*jb~6a6^)&cgE|Ij4<au>r@!
z#_(!F%%`*P_Uhs;Q@FEtNn8((PuX<98dewXd7}=ePH1)5!prx?_i4fVHIjJU;GR~d
zY!%pKd8FBc)a$uzQ-eEt#ksG*QGRN%WIR-O>{9(zxOso-FEU=5q~5@O7xt34eCIgK
zSH8LC9_&K(X_Q<K1D~4iegJ#?O>rmJOEIs<Zz5s-nLi!U@WcM;o$>Ik_S$ozumz)F
zc_KXbeQy<+zbpQAnc+Dcmp^j)F#I&Kus9tqosi8GhL`_r+MEx+eDYVE%m@BiJzh`<
z-~6o`L&j^>hwpEyfGZv|?As69E7asv!P2bO{(Nw8_HL>=_*Dwqw!QF_t6D|_+<(f=
zl^Yf}P5j#dKPch;wFka-vpKaBHofL$!VcHXa<6@Xm3z5InP46t&Ez2%@8eNnf$gkQ
zmd4=*TJ{bGxLvzBehS_y_cn^u4@LPX{(<v7E%$DPKd&cEt-}Ft3vZD6B)y*}XtK}9
zof*>HObb8ZW*eh}U!6^MqKBPU-J}`ehlUa>RIrCY)Hf!$HmUD54SfH&Tp%w@A8n^Z
z0dr4ViU`0hj%BH&-s?cgZDE-GjH2*w+z-*nb{`alSB)nY{=p}>ZhusS!vyWGuEPK2
zC0|j7Q_hzU{DNilS6eh;aW+Z&MOgFnPM@>zv&An$q(1M@8xAY@LY(%iAFz^3Z_Nd`
zT<RGMsegM#WREj!Q@7(OxnEP&R;_l0|FeI6fz*$8EZg3I8OJ&2#^EX6E!+KJfBO2D
zGw>^~(pQnNyf2?Dx&J$=(qa}3N0nVkAoUYZdGizD{fwXZ$$0$PZVBULc;(Nv$r0FN
zd4wV#c2a2d9Dudcf4(S$D{}lKhvDZBpJ~;=n}*+4_ra?l@>go%Pi>yJhv0}CmWiL?
zZ;OT7dSG2)7v(<q;Cb8jFR)lK`^*$P?U`gk#*;3L@IRb|3#|1x$@fJZ>yr5g@3Oi5
z;v;-`ba0q52iN=0GLE0&mo#BPjPRM-^FPV`ap}?Mqr2cOWgI2s{`dj6QV%bD_0e&K
z7MQwG?WO=+y7kva@_jM^tNh2{*q$BXjWA2@-&Ps;zqYos<ogPwGQHK|2SG!9b@0+a
z4yP7eOZ7C7j32Fuo7R}aXEW0U$o+egv6-_K>=8>JMCx}*7rk+SEe~vEs)hrq3+<fY
zG>6u%8dz)Gis2gkVWQrGj1O|nS`^=aCuD@)lJP(v@e=w#*dm2Xos54oCKlue!wH$g
z+em$8l$B9De2}vJ5g9*va>bM~37)+2r@R6_Tx$8d7?!LVP$oH}j7dr<thYInt_+@y
zp;c>y!xipC7Qlir6bsF;SX^Z>d0r85-7q~0ue}eIC%Gl<@5l+*R#CpT9G2zP{z{*V
z`9)i*vqkWqi>iTJVb#vYF4Ddw!$)0*;qm!v7R9jYxd+!o;BD%|w@F^B9OSD8zc&fq
zMslW+TU;8jYsl4h(mrcCf!cF$L?DL=8Q<T;x7XDI9{w0zPPRvG+WoB^JW?W}oC}9K
z+Bi7ES6=R?BlQ9nTXy)tt^UOkS@64a|4OdGkH!uZlkKV7vyvYJCuil$k=)?rgmE1F
zT}arP<Ue%=^$Osd!&$SLu;1<WKSl7T{jHMZ?^DTJ@M8>~RKJiz_OFm;sp<$UH^=&s
z?EmWLNeb(*Xt$p!$sIZ#Pg3OJ?_<;btpWZRUoW{2&N?OJ^bS6L^~2zPxIxYQ2>E=*
zZ<D*?@F;U;3F!}Z#s-I_;KhWmS4jW)m^S@M6)w`}r6zyRVgFITGq6(A8yix8+DxQP
z7q)WxH&+7xND%PVhr`Px3P}H8Evw|Tg(Xy-Wy#-j$ECs#_VAfK&;OC_Q@)_)d>M9*
z=)6b%9)V9z?79lq$P{Fgd|s22AsY5b>yjY33@>BxBiPfa(uCw6UeD#dgoEq4zURX%
z2Zjv`;j@`_bR_S5R;kkr7p-<iko;io%U`Xq$!dEs>F<KugO|qPQHf7@XD;Rw3a`db
z!6CZ6)+F!wtrxxVC4L|2-#$y`cTP#GoS=b+%D?U;`MfQ=6c=prr8)lp^FMOihW5el
zza{aI{xx}p?~oEazj`%`v|pNjPp2|`aM4<n{C%1j4(_vqyVu3bN&jBc-P_;*E6<85
zlIQngo<l4lu*}@gM$&)lIJm3A;OcDod9pv=`;M19hbfa*FOhs=OTR@1Y<ER7iRAH`
z$;R*CR?}bnB=7T!qWS=f8W?MkTszg^&j6e%@Vk@jpBK(*&%VO@<*k2{_WktRocIg&
zqx$Vn^7Dg#PyL03kGZCkJgT$&By&F2b5E{`ket0EXKXiYaMIU+<Z`)=UqxW{p_M_h
zeIuvN1&YB@x;LmvzJ-3bzXm)wycA0EW@$PhZFtx#pnx3z8%L}6+rtq*f5?!0EHA&w
z5td5}wIsQmqWy>4u*k0I335Ejy)beKfK$ImFp#`~dz;-8xKv>@hU7C`>kKLIc9ED0
zvVZb#=FyeIeAfm~k^C3ylb4mSUvQiw$+w-?&g_OgYr7Z8{_~AKsoM+BMTK4=?UzdC
zd-5BmdtbhRY=2%5v+6p`>KGwN^45+w@+<{-9=Z4GC27C2e%{0$SWzpwo3wB1UBls{
zu!BjiImthzs053{*7C7;NdB*M=C&sMP3HMlk}r7lA3O^)awoKt{#R_N_R$i)OPyjw
z`tP?G$txG&gRODbNxoB~&+{r=mi&;0<Tf02>^ES6;Fv=s*D1AUj)jZP1Qe0}`*FX1
z<zv|F;p5|E`?Zq=H&?)8Dp&tMpSe=aTu=p99t;a4$NLA?>qc$xV4dv_^7+Kq4wN5Z
zO~!kYBxl~X>Gu>&6R%&D2k%vxe>w}-y>s&?+mlRZc={jwLqc*h8Q=Q+Mt+{M5ci{B
zbz4b${d8W$Fv7Ga7!AnzaX8@q$z8C6qX--MzO?b>5nlNC%dw{~;N$UMLIvOiTaJ2i
zzHa;D6(A2M#now(JW|c{h!X7SPU}N*oyY}&b8x_e7wgYqr7NG?%;D*K3;Rhfo8{Et
z3(q|a$RfG<VI7Yv@P?ee4$|H<mG6#G@W<!Y#w7oFzJ6y6oN{;U8);va$UTb^c;4;2
z1DWqo-{?YH2HUCsULf0dEQ$ZWe)u1s{bjO!n+3N09f0Xg#-EVf^IY`u3cSjFM&SR~
zhZ}y0zhG&<O)p7*eZzTpimeFGccLaz*)Y>8QzR!GyXmJH$$5lhLL}iE=_f|X^`|i9
zs+cq!;m_ep`fKhf{+lN7MrNaBvOTe`+XT&E5vA7u&u>=uS+=^spDL*o$md)AReapx
z3oE5|<al87e&-eh7oHoQBkgl2d9gbb7Ai?)CV5QcKE^b76aBjclJmLIl)iv(-VJ|G
zwohK{dO<Z@_b&Mi$r&@xo4kk5TlspBT+pyb?+d&XbbT!YK5k#}XAt(vOiw5M^JC6i
z1=d%X?{10}Cfi%zkTJ;)hwA9Flk3yNQNti**v?u!h4jZGoeD=!!@=>|4dnc~)AqTL
z6}&rc|5=h#{J8(|0<5xSbQd{(V?{n*@`8EhU&fRE`a-IV+ZT@8-uI3ipNWnfY!BeM
z!N+POr`SsUE)o_wNRds>x6ygL%<=H0!7@?OAI1ylD-+=p{kK<1ds(d2FXY0>-cr}e
z{tFmAvLzqh$Di<(^uN7J+UBLOb?O;A(tj^?i_lcS#=f}?<nM97R@b-&zS3)WHU+lN
z5}~StzqXbYq{0U)b^mLF{bi}Dqv8EJG^w4ir-3C;EPRAYX!Q%sr4cI}1j~%Hs|>>w
z2jyDGcy{xj%%xuV<5HjA4LGILH=fjgoeNmF3NNyqJx#tZk)!IL3oI}E<q@fWFLE)#
z3Eo$gf2spsp*ks|58sI#ktI3*q4gGBcu2H(q8+~2UuAV1PUfo_>VaRg2T{ntw?0RN
zlKf}Kq8M3!eazdUVHEby*bzgCTr~AD#~j?9M)PtQd8$Kp*&4hzoo(kRJmxyRjj9;e
zn}rQr-7w$5ujgpsoIOmpdf@x5+%Fm6i0PTI2AH*%j$#+=DD~?{6P(JXuFC<x_q<1+
z3ri0#{@{lPCxe_`!Zg2+DG9?`dM7WD_46~uYZ2n`ui4{$&)`mH`O)KWe3qz780=u9
z+J6f6a}jDI?+f<pia4SP-_EM+zX{8gid@r$8zb^h+=gB1uC|-N%hb#7{op&5b-rfs
zxY)owQqOV9a<40F9JYsnyubKmNyZ0vcw_fgcT&$Ova;tg%)q3y;tBI@I#KNhTV9hi
z@_{ocf|>5X>xp)Qt}wS`Ygqui+^Lm9>b;}wtscQe{l0?E@OiZ?y2r3#x>GQz7tdWY
zO@ZSg@9(gKgWn(9m<IRU^uOo;U&;(H$bn<Eo~~KJQu}Jw^I)T}dllsO4R*$ssnsyE
zLXskRpYub_1oiiDR76B7sqapjN@{{D1)m9-!1h1)tF*$6kE27$`=FcZF2;4kX3Qx&
z_2IJX8S=gGuk<J{Ls+SEE$SOQPZR%}yx;c0%putkcxOe(IbB$)=4$v1Y`-2hOx|z%
z?L@A`4|sd$wNsjK)}w!ct8n?+l}2Uai-$#i!z1$!hfc#uTGwxHD1q0k3ds9y7lJc|
zHo?m3@;;>gWR6A$GrVw2<S%)j?GIbuOM75}C@ynSubxxi#0|4pZyq7<vprKke{nxt
zJ+!7w-iO=vK(Y29JQp?CMBZo1zRlj{2uy#p`7n7OZnI%owIu9PpIu1aXKN-gU?&Z)
z1jI3u_u(GjAX2UXhf#UQllR#&E1W%l3cmKua{VC8`QX_r4Omf5>NffP%5jmm=d|G%
zd7e@7`xQ4T=9h-B|E(oQ@;=-44I+jnuw?2$^FCP2;7;awSh+q!m%Pum?RA2V4SdJ#
zIt!_1X;fbGh9@p5ChUg)W}JI+33gvU^p6$(ZkNA!6CRnIzD?eLOPTQ@?lxTW-&<8u
zZ+zcP{vmvk|5D3#xLDJFJO)0w^K8T}xSsk@_zRf1;UCL3*joOCL?+xK(c8xei`S3!
zm%-&7H!L^947XPNE8%r(tpJjXJXyNh4bx0aZXvne!Uo=6`0V3%M@fF*&pPKKtVgX^
zLJ!A`ZT;{QuI`c;An)Im__FEEw%0hm`OD9feBN@G?G9LNcX}Yn%@wy;9)Jh5co;}-
zW64T;2p%_Q6(@PwVFoH?nCV(zDS3bI&QbPsRX8R)XozgDNfJYfB`lpkYfW;hAM9!u
z;AQqDL9)FYRx5sZ!do_J=Wc?(*3`%Nz-rSvJ4n64b=Ilt@KkYnG$kyV!xM1}<{r&8
zCiU&XHByl<NA&t2c^~|;Wb@!dm~ntofz%%|<rGbX@4B6-T|<7so~QQ-`Mi}*FsV;v
z|8V0a-1#|jJ9+;v&GUNxLfHFE!l&P`i4Ydxz=mmEM&y0;qeor5YGJClZye<NH1BO^
z{|r<1>`a-5skiQU*9+%s?6W1mzX}m8u%Cj<-OfzU!Zzah+h<`f8`C`Ud#!DU^orNv
zOU_rtr(uSyvu2c~nEz}^Fd=!ehoT`XtXozvGzE_Z$^B!8Z_5sBBKg8`;Wcsi&bEnQ
zl3$%W_(Te>$mPgifOmzn#+`*X+j2;fe58k2UJt$?V0w<^yKSgsoZ&C;wZBcm!fNYZ
zU19IESXz?Py&LPh2mj&s4<)&?-0-bn*o<j;7x{Y_M=`f$!KeJ%<4F6(Y8icUVduYM
z)ues@sV}?L!MoI`l}Ubi_X0~JJTm3sMDmM4A9s9*g*c?<|G#~6EhVGyo55Tbk~eDR
z<o|>3{IriJ`F)LaBdRjoPkx?yOWNlWdsmkY=J*(=Lh>6TH-B-!q1}8gB)4}kU6O!j
ziy9V4``aJuKRyO~_gU;Ad298NhdS_L!de2!?}Z4;{s$L+k9|+}XMPfegbOSf%zv8X
z6&rr_yTPs;78T_E(LOD94P|gqPMiEHY~f|+UI};TX<s47A6J_YHETJZ&pHzRk>jU&
zK{SgU4pd?ZWP-aM@vj|+*HZPjZiVIDg`dd5lWe2W%&^=H=ZqyRW68qC0Q+1Kh`IpB
zscS2cJly<q=vDZor}qbPJjn%o6}thm`oEqb=a;QU;fG`4p3qP3B$sA=)cF{;t>TU)
zd25eiYayJGCBi{+Z!vZ6Vz|MT=^JUk%X9^M9sJ}3yA3(NNWOpnt^xMb_X#C=%t4om
zVK|A#a|g-$5<D-A!rv8oq)0Bf#AfynKHAk#PPTt$otv7f0`D7`EKw%g|AO!DS-gr$
zPSYa3VGFD=wqcDI7LWNbuopHxofcsSn=gc0k@IP!Nd7TLIC@WQ&mlN*@dDo~xWee-
zIX-wJmrrvE{4UQUk6a&@t!}O9S7Lt3_TNEr{XMY9L`M&PTtMyQ1*`wc`JM}JQhqs3
z?l=5OeU4|t>o<;c--Gw1E%kT767yra<bKD6tx)_EZ10pm7z?{L(BAq9*OYpiCd2>j
zc+<N8%NMzw$%g;*GGAt|!u9Lx$+|+gtm}Qp9++|ajbie9!q#mx9*VFHtEpHWe4;9|
zK@MIqp$s6u7tDS=RPF)GD$Q&dfR`w*>~e!uR5z-u!a?t1(i&ky%a!^cuvIagW()kj
z$%}*BZ$^7k%2B+*dX@KjPgdZKM&4sou%61G%^#R)qkHI1*qZaz#1c$t^IeP?w&7LG
zTZ2Cj5A^cEC;E1XF2E}9v~LN*6E?|f%kYn#X9T2SpWn8Ab8xR)S*t8eyO=vT54*RP
z>^lXYwQ;waglR(g8dTta*Gg)p;cA!t9NO@oHc!<Nm?|{<y$)PMUzRxrcg=^gn7|ih
zJPr@Rm2S(GxXX~!iN^n_hKme;?y!N=Q|+1hU<E0Y*LH9mcaF~&*dWDti#r_6VDhUI
z4jQf~xCl2ne1Aj!|AY!(h0$&Jm}H>hM|gCYlQICl%-oVj>Z8gy^}=DlYG=U~xV`7<
z?+38*@XA~V-0<^i@>4j$DcqwGc7D*OnhK9GvL9=MFWl&xErM@d&MYJQ*C|#qx&+ot
zmA=&s+n7ko*28R5)f+#+ZSxO?8)4fx-NpvE`|g9le%P?GL*pI%EN)VG5Z=FF!$iLC
zHPvL-9L&4)C7Sf7uaWZC7GU=*&vP~KwpO|Q8>%t>7&1Iq0YCf_-AE0esP{{I3xAn<
z=*|ou3>X$DgWvc}?%o6MHEGi!x$E%Qj-&9kWueYe_%@yFYccrmwU)<Ka8J-N^HVU_
zDmP~dtZ+DFlPb(dUHiQpuDcbOWeBgEFxnQu_fmRwO<?Qs?GH#^<lCw437fE=-AVGN
zqI^r<aNS3v<0S82<(vtJ%f5$Ik>h7o!!;@bK2w`KLE5Xa!6q~l<|t}(Bze?Akr>`|
zDmU?V{2|G=Kgu{%3wwvs>?V02_peX&aMFjv3M7{;o^JjI*EuV^FM!8-WxPgUyN-*q
zWP3*}4!W$v^!k2oB(LVYvWxO9=3{50EXnp$e>W~X0LQC`3>U*gUYRC`U|NC3Ph@}n
zYP|VNAJ%LBrbGHiXu6QD9vmxV{)+7Xd<U*HQ+RWpj~MB1pImCzjo?z@wU}<$?NZ5E
zD_A><k$Di_`^+%I9Cnh7z4R3pUp@WT7T$ZgU}YS3Jw5WDHJp3$q{$S#H2Ud<Gwfq&
z+(VAv*Jh5Cj_|e9Q?ftdyi-Pc7l{SAk8Q;BXnl<@wF~@4tTcWTc|PqqZ|DtAFMML%
z2H*KQok!|(xh`JY4r`z2+TaH(AA50mFYGtiTS)5Ff;0!X;e5Mln(J`(cRN!-IFRzV
z1*w-XWO^e6@A<@Ca2pPKaO8w2>>2rJ^DQ`me<)cTK9_sNEC^PUU`|wm?^l{I+=0{P
zS}0ZE+D)=nq43Z56W2B2ME%rKQvdDA^I>iH(76BBNO;?S?<@`BYi8rt_u)w0yEVqJ
z-m#jJM{t2bMKxJJ>h$V{J*mHQ=^ih6{=ZpaT>cpLs830`2&=w-$rK9@Z}p_{hLf0r
zY?I+A+530MctW3ie^ny<JjHtAI_%Mx&-ff>eR<24j7M-Ep>TW#cSxUW41`y9bXH`+
zRQy*?KY(|Ia4=`U=RX=}N5Z@%KkV}1Gl`dk9>ax(V%52@iL+UF0{pv~nyCa{WWKhQ
zjF&7%DLECvg|v3=WIWGPm#L}(Ub}y9j*O3W$!W5b!EUKOx@5f5UzOeA9c;8Eww;V0
zX_}sW`vwkC3>7EiQ@q(6yXxVvtX2^+AH!mOxrWpqqG@{A1TTG6+}#Ar(9P`pMDn|i
zZlpf`?yOH2vAXEHcDRC9*mDHV-S2gg)Q5aH_IV6WW0wB#3645%tUm|uIittf0Socl
zm(IidcUjzf;a5+Cq}JeHLkH`-VfMhp_}}n8>shuTc<=BV)(x1CK0CU8@e6D?-E)l^
z4lbztFam$v|M$-pc(+Ld=P*2^&1OmF$1k|wbDx46Y)=j{!>T94>&M}OS5}H-zWzz#
z8TNUYE-Rp#3+|85@SKHPIr4aU;FB`6waakud}j(--`DaV_1+~|^zH`QL$IVurTZUP
zL+Zd?F?i3tSM_V~mpRi(2{`DjGdtBgTpw@TwmSh=3R-&pL*8gy-XsSLWHZ;&AZK9S
zTu;_pRB!&_P3m_uojIffkCZ;Gr-#3s@W>?VIh6D7anr)x=EV%AuvNw}&+YJl-C*c>
zn4ylfX)D~GCAeS>v(q(jGQ+#0blk}L6K0Jx@15|5-^rg`;ho*O^=xp;`Ng(t@V>cq
zUsBIMt0qp?w^Th#Z{&n8x?U`}2Y37W^033d*xOjhdKpt6ZtwlDtKZtg2)NLFs+k-9
zt8Vfu3TA&D!F2$B6m-Wo9xm-M@a2aOUz_evgxBr=HXMP+Vp&Ym;QqXdeTU%CJpZZ}
zBoDOo5{E4^a*yZ1yI0tokHUMtb3M(6ckQX#D+5!OYjBmq4q0A4QgG|;_qWSo85ZUS
zIrv@6Jk@)+v8|T-1e~YoZ2JLryKUpC3}=6PJkktHUf9{B2p8XBS8IbaEb=(j;nyo?
z>d5bl(`^jBPs8bHMi2U7ZG$j2V_146gyB2PVIzFe02bW9>PgmLX&cwqn8PncG#6%I
z&2Srzb8x%Gkp2%?zUi;4HLUKut8)c*;*YMif|IMVj{SmpvV~Y3VVaC@#bo`M&*3U}
zJ2-0Zb#}6TZ0wKDdpCG^tSD|XZ2Rmhn+u$M!{FamII`@bi#OcQ7k+gYd@S&9%|&?Z
zoA@^tm~A3-w;#M<<6^NFp6F+Ey96sLv(|9KSMDUgy$SQa&{Y(K?UT4!uftUt8(#>)
zx%YFN0$`8H6MSU7;oCOB_qSog?LULWNlstH913?G5~d^T4F}zXT!P^3K2y#oVc*5V
zHxY1?nx%s#oUIk*O6tdo_qS@pPJdb7K7?6a%r(e*L)S(BJ&|zOI)A<~+%`e$^cePy
zI4^7kPf|O-djzW~i#)slk0|}vl?)FTJMVOY_XKD;C&IhJ<$TF{#H?-YRcWxvz}00h
zc-dQs<r%#A`9Bk~K9NHu(>@Cxq>kz#>l3eaQdFnILp<&$ZoyKs*LLQ^j)(Kg1L5?i
ztq!?xpKAnn2t2nzy`mVVFziT*gxv>Xn2O+U<*zqJ!wUBpZ7bmTTfc54!0q>pDof!-
z`mwPj_|TP(?eAdO9042hd+B${Om=Tz24mL7bU3X)xU>%b)@yp2{Qmj0VEv8{ut<h(
zP67NP>%@f?IFL5xAo;zs&R(A~{L582)87#fDqxYR$*rGYQORzG8u*((r*%6VqVd_Y
z7M6T;zqkkPv*B25foJurwspgApYRyA!xaTbEC=B`G4@@bVb4cKCH?T~lBY}`TzI^W
zegqb%FMItBwpX38{00lFHF1u>tP;kBlW@cDoe9%$o6Y6T<FM@$L8>`;I)3Eb5BS0n
zj~mNy!Xib{44k+UGO`NudN|N5!>i}J&Ql!4c;oC1vqku$)^Z&cTv{}q_Zz+)E2lya
zpELYLvj$V8TW4*7Gi@!5Dc|Gyur2QZ6RaTY{Bj++(1yNnW_T{3eFF{hYc%}ZIAK5U
z9^;L$mYM!VF8B_!Z1xs->}1M3KTIifaw9!#U)rsI06xF-i9RE&bcwf91n$sC%w~Wu
zvzSYZk<VZI`;P^-JNQdN5$?M+olWYSXJz6~!G{M_DcImnr9f5<nCZnagWd4zfwt>f
zaQ>O7bT0Ui8Rxn_d|T!Q1t-j4=WyN#cHr;P;e#E0Uw^fLd5^zI=YhAU(W{(?wcT0%
z2*F{I#x)M`eAb$dApGZh-T`OWL{KYL1dh(7O!tJp1s(iz7;f8tZkrDrsC7eA6294#
z6LO7wzRNIG3=XkoShxXy9L`vgg<qV>pACoUZfT~H`c+ysy$IOsb;8O?*hIytBNpas
zv(r2d-xBDRjEA$eUOhPl_sIB(Wx~(4oYa(qRpl3Av*F-ZflpLnQD(*6MR1|1$_lB!
zd9w0qG5k*R{%K9P{JQz&53uWj^<`48-~4T`4(?D^I(-&SkP<a(gLVCul1M#gM%lX#
zxNAsiK_4DvHhuFIKG+wWMCxB<P4j+-f7&<C8^H&2WS>pJwTInQ4d5x;4!T+R8FgNq
zIXq6`vFR_Iz&WmB46hC_IQ@fj_VUJA!56*FCpU?r|6eTqLF)Z{skG_f`SPC%cCf+m
zWcA(fttG}Eq`vUHdOj;$YkNk)5q=dno+AjWdl<}F!}cSOnGV7^459Kaa82VxgeV+i
zy5$k6za;&1RUBTEmz%r@H^v|TsRYwHio}rmo+InVDzMjOs|jzoHuFr6CY-4M>7*yz
zZ?)s(S$IRvh6q1c@JFVM1$_T!&j}y+apR?AEBL4PrU%#I+5QiE9bm(64r8R=qd)eJ
z6P%s-@Yo$#qhV}=C)_OiGyE3(eWuFZ8>Z9b{1ybanVHz!fdl@vhLQTFG?}IVI7@nY
zC=_lN3{(q;H=3wQ2E!8%UGg5l^aD<TkuaqQUG@`rEPI1Q7<{dInK1=!GUmM(4W~DU
zG33MHe>21$z+ty;dlkY;pX%?%!rOJ*7Rz9n8R{>jp8a5>Q6*fxnde9n{N2(@zZvdr
z3hg8H#^%=Lt?>R`FAhD0qu%F9cf;}(UH+tAYP96Z|2VquxSqa04&bP?6Ddtf+R;u!
z(bV3gJ(N;X6uuG>g;Hq|4VBUoDNRYcXfG{kXsKu+GWxyF@6YGs_3rYypL@?apF7SO
zfR7k1^k%|`wTzQy;9~KEL8RU?%z<JKzC2~olLPMx&bhV>zvekFngzQryqW$6YwQXQ
z$cJ4n9GRey#q|O1H^R9v&t_k}&F~hT4*x>f^&iz?RydUXo8U7z;)Ph=4*00ori;b!
z2F{9XK{$_@Rp15uaOv|F5tuQO_d*%`X+bJN64nsrZzc8Bb1vVcVdJmjyWYTd0pAwY
z;LhiJno0fhL<vhx`1m6+o*I}VslwbGu9DgIwgMg<TQ55Tw;Hf<)x*{1EwZOz)7B2|
z*YM8QoC&AloTZM_B)7ImzJD1uFAV3bf(6IF{SAb-Yz#Zq1Xs?STZ@1b<K)?E;olE?
z9HZbO1}TqbxS849E(PZGYi4bLFHD!!romy`Yu(ylyB4{s7jTb}0n1zXzs7XIm+&2S
zHP=qKHo`LX9ZVhVeS+k6&pN4F;rbJfr6ji$)};IZ|JU~BcnfTMs=?zUe7YsCs0aRG
zA@BADrlS7i*bbk3UDdh(@7_0E&<9`LzVF>XI8k|zeHZMQS|zzr&aUcX7(@ObJQZ!1
zy91W1Y04-0Ud`WIIbkiHyiG&!mwgUQBCy)As=QwK5hc|*G5Gk0)b(Nbgx!fVN~C`F
zaZW#c&2oGH0odby(4SFw-%j5ieOTr{-%PT-f&(JTMzFDw@vl#?#K~i2M_{?l)kb5a
z{wWLZG58UGLds{@>HZmRH`smm8T|>k`Je3dlW>i@PSQMl%kpmEf3TMlqs}yJ|H)>`
zAI{7kd$0gkAG_@m1pl^DSs?X1wARfx;M2^^YTx1R;Fpat@RkkbbEH1mI(*+f_{hj@
zm7j31=A>u_+?Tq0W*L5?(h!vi&t)$t{)UTVxgv^TgM$|)$o3oyD8HA&d_HRO|6sNA
zmP?JWbAQPw*`95w&arp!l2oAd#(G@u`5bRC0B`r2_&~N7Z5;h-2sT^D+DD0eYJQ|-
z7C!p-Pe0k-#|vXSzrYGvm7>(h%dUxY{egLIZ|o)8<CT&R`UfZ3RteI<c9~bMFv{cp
zAoFqu*`Ca$yOUes0ETC~8R2}p_hUQZ-7#$~WP9I_Eb8#VH6=H9GQ)S%Wwaz=qpkOw
z$o90Vk35xzPum-EvcQ9v?qy*qsjB`^{W`L}e-%|*G~u%w)>+wL<u{z6*09UuhwV)8
z?L8(-w(z*iof9PA%2)i^AJ!2OET@O}=ln9c3{%B+&~Jw+c>_y6!jE?kSS{i6zf9O}
z@&SIWr9wlFk7cj^`i=YX|EWCxoE%@fwmR9bBNrYWvFnC2wMM)5AV2&7*Gb`YX4_M{
z;i58$Led`a+-7l?f>&o%ZA)Pv|F8`bFz>Txbfo?BaghC^0-xRcqL8$gLKm`Pm0`=6
z-Oi*vttn$*GK0JF!W|yM_kLb{Vhr>5Ze)svk9xk1d<d%+_E?erOJBf$H4%P$>_{%@
zzuE%C&!xi`V^h~j|D|a&{^1Gy;3}^v>5qovwfl=;<D0p^NIiW5<)KnoF+oWG7Tl$F
zLb(yXeJ*t+2!7=z{`f7d^nz21^jDD=!jk)80f*~f$o8bFtu_zA(KWwRNq=>SnfAsw
zyw^!6hSd99`7k#Dv(hI{kp4|C^Ule6Sh~GVAqu8fa_#&I$G+JgO8TRx2iS~%z>?WE
zA4&g3@olB}Crm%u^8fzJr6WUjg97%)!rb*l<VT*~O56mWIc3wE4xe>a=A?ruQqPHy
z{kh>de-H!w#^sYg+25VZ@7G!2=E|RKq(6J+T-eSIJ1KOWA>Wr>vxgxsO!r`<z6cI)
zKf)sbe?M8^PQLH0Tel{N!&05EDoFdC^p1f-0?w7@XCm!s-DJ~MdHCoXA!pM5jx@HI
zD8ssb%ao*j?09vjO&z{Uy>yJUr?JwHk`Kd~EG555d!xVZ%xw(Y<vll^gw@WTy<rNw
zK4nh*0*A5h-(&>`dQyI$g^ly|J#667{Nvgy@K9ykr!%mOn1K2m+;p)>-w&p_cr}LP
zjnd!iLSe(d+>s>jWaix)4&O5O8zs3Ke}Zr#T*}UK>npK9+udaN;Jq^gKj4jzwD07>
zt@~)Nk@M$g-L-Ge;d|ZIUB6({CY7@#u<P_L!Btq8<;q|g?AYafVI3}c^1ZhS-gtX{
z=Nf#IRaLbamPk<a*@W|x|5R7OB3$d2vyHTW9Dl^PR^Y9sOUM7h3+pOtHi|f2Lt?&@
z{pXZf>ue9d-~LXU^bZN%H;4S-%X)Nb{cwRIyXFOWbo4+p$s@849Sngtoc*gn&TqH-
z1DUsAWr@9^r2ptSwVrk#UX1x5`4K*SC58SWymo;$XbRRTtKFOpYvpGOll~?B>nZPC
zc-yPai=_RiH~lwX0N3y2Y$f$uFb{AM?C-6<lk^9V{<fLa!E5#Pb)^3JrQos#*hOWI
zmGlSOJ=pfQ!IF}KCrLdgW7ne&*zb#OIoY2=J;!<a;c%*}jAZ`^CGH6sgtKYV?8*M=
zQ!b$xhqq{Vzaaa!SNQU&378^sWfKMVFK;UI>>T`TY1h#Wu+3c7t3_DN&-N#2pBa@8
zDgK1lu$VGwUrpk-rLDoSY>yI2`x;Y~vul$Q#-Hg`3#7dcoU>Wl4BOItkJ<zC%&neg
zg6$HSC;8y^()WGLa9D$|yePbI*Y^lJTpM`swh;UwQALOcep2TtrT`lld`#a14_ptp
zA_w0Meak2W-%P&St^!}$<{7pR{t}e9TNy4|H?)(1>#{J~g2(Jv29@CLF%3I(;St6;
z4HZ}}`MtX-?5`D7tqGUp^}RBJ^Eo0!55u?qO)^-*g(7lUMzE61xPt}E&%b}GDO~>c
zYrZXfi+&{H7#zz#MPUu^7oA$QhO5>WEu3MkV7Zl(u!efq8mZsZq-lE!ZqOXmcZKUh
zqAV}Lk=8j&4si6Btg6ef&GqN%?(q1Ql~;FQpHru2$o489ZWD-v177(kdct?I*OD^e
zriulr<FJCI0Cg7peB0L`l5?-PZYqIo#jXpVfV=DBJ<DK^%qtg96W6{!(F7ll*|h5<
ze7|gK$2&Ml?zi_D_|xTlL);Un`hB*zhSdLwUo7r{3$625F2HtjcV$1o60eV+@PoU~
z^(K9UPt6`H34o~-wm<j+^Qo5FlKRj@r%j8ndsI$dAl&jm;nHSh{Qi}Gm_hPwd{GlL
zaMYb!KS)0P+Rknl?4w}*mE_}Y)eU@bOT5a#tFVIy>+6GXl85{4b8x!cO+j_|%L~K7
z%kX?RN4hS2WVu!R68y04E~5dwA@IfJ>+mzBJz?gs|Acr4+1^`|ly67ifMO=T+wkLL
z*|T;qom#MO2rNBVG~@ugA9JmXfScF#tlVHqnm)EWaKVg~_$gRPFs3vSPMcWH_JwVS
z{?R>zDWk8loQGw`2W`^eY*)^x%OtN*d-e!+kXCmIg3pzGH_nF*Ka7mshB+S`P0NG-
zsIe7Az$a&^G%I0=niA=IaA3RRy;tz|eO8I_aF4hAbS*p|{F@^M{(SL{Vl_P7uJ<J!
z9?g~+>V$v(UG#Vg+mv13+Yb9OZp<o#^X~oFH3M5SKNENb&xIX4I|)k+?fmry&e{8c
z<p+HDW&8O?SV?%-i4{1RYTL^;m_ah=7()Y|Zz_B%^&VDduFRo@|E$|k4Z)H8CI*}^
z(~TY1$6+ekkmMb(uSe<8X;{gJ<&ZF(U3a19D?Ded5iJ1k)Dp^Cfq$^J$jHNI&dmz^
zh6kyB1k1oX?q>a3hl{uS3u(f^_q;DqA3*y;n|x6XwjZ__qlKT**uT?-<zI0-Y=xtC
zU*<jxuM1JXWr6RWQ1&v06^GlkxnP})BX11g74J9sJn*r7+nA5Q5r1y&6M!e8gq+Rb
zgGHC)h2V{j;|12R6o(F*1Z+FAOnD6cu&Q=d3J&?5d&CjmEyMUv0WQoc$+Ux;_cORF
z!($t~f4ahsdi|5?@Ico&z2h*$xevx#FrANBf+zf6#eugr@LxW`D3bfo8OYefPwM){
zNX|W%`qU3LyqecX@?*9YY!_e$VH@F7Ft2qZV;sDbY1Z2b7W}es;XeE#A-d`$9H5i`
zJsEBu_1xwLM{fM+kP06z+;-d>{x0)qI1ApzGyRfmuaSegAP<hpmppozn6E{m2)5d_
zp6L%yq^VPu!}C;{x?%98tMozDaN<RVgj?{+n!$W6%sKIN?k;@uIh#i_d_BNNB?4BW
zS<32yV@mZTGU2(q)q;cYH#zES=`giksp}Y=oY;T%HT?cb<fj>U`d@fmIgAVIrC;Fn
zwMy4!cso0<{CAka`E*GWOvSBx?hhQbAdx)=pV=+8LZO23zjFWDM|f>!V-pRW`{ZB3
z0z6(ft;Gz>ucmyNhu?442;Ko7&NUmMYD9ZjCqc0b4jcU<Ndd2(&r}zLt19p9=7wp0
zKdjmdXZ4Hvalj_>PvWHEzP3ZGqHtSe5{nXS`laoJ5d7J#WJVPhl^>;6fV=J$oY00P
zt=z5T;1T*EWqmmNo8OuiEXF)oW(G@fuj*^ShP$^$TEYkD*5}RPpTAic9pFRqmsCw*
z<6Nup<8aUUD<e*@g|(xjCv1@UP0|6*K1JK?1qZ46U2}tvEHmq#gU`oIcDcZAcf5D{
z!v)Vreb2$J)BcIqU<O))`m?Z@w<Prq;)q7pOK@Gvf#5KBn0}wzfAB|vm)3XTBnm#7
z+i;n9UH^T!A^4hA2+SrLqVW*E^7ChQ1bl<~eswC$@yOzL7@R9+FP;utAAP4E3ulaY
z=j6h6e0)h!@B`5Utk2-xJaJzhz#K(JF-7oQhH2INa7WdOdpTUN^ll^*_UEOWu7=$w
z*`zXH?XhvwI=H$m<XRqlYR6i8Gdwia+LZ(ESnpG6gP(3cz+VVIr(Z1Xg@sM8_~pZ@
zoZbBW@afvwx>8vC?_BB#th+~;4Ku48^1WMmVFEV%@u#=}j?fwUJ_p;_$kNood;BY!
z7h#t`%IqH4h<aG}C!91Rx7G>oAL@R&1|M5W&>Mu`sD78;q>A?=t~4d|!Rd-iNt7@}
zi}?Hq9OTQw%>Ykbwon;{J>s_CWP+Wyl!Q;h4>R^tvBB|^10ToX;IAq^?C_aaN)mJM
zre3G7yWsCd$F9!6KQ+CqcEiFQB^`@!`Nrrz5qRxu2j5q?B0f!B91b?zclHNdE!I>e
z11H~AuU&!Pe;yW-hXZAjS^mIm=9D=q@TZ4)F27(^g<Y(NVCEp|qK!=$pIy+7ISf}Y
zZri+${O9!(|8!wFMUSJ@$devK1en6YpS?3F;q{inX>)k)Si>p<%ojj0;S3LG)jc5f
zI=zy{u5i-8j@d16*2rajKX`XM<sCXW&c3ktJgGN6@?jfneDmP*SXeRW?=BixQsg@4
zeOR4G*M}LVG*Aj}hF8XSJo$_NpT)~DzPIoJ(VipUVfLQQi6gLX6}Qe8_}<A($zhna
zb!c@0uD$s5*#vB79<M|8zqg`+#yGq-Vfk|a{x+_Aa0wRN(DZ;D4<2ok-CyCa^0#$c
z;2Zrt?SEm9jQLq|JasOda`_EAU3>np624_^=ty@E<9&_I2g=~8q_J<*uxs7BIdZ)2
zJXyHN23HJh56^{-`Za>L!;Bk-4m^fexxX%1!o@AWwvzKtFZn+^Yq&c|#5o3D>zaA*
z1J_U9Hz)ba3s=;A;lIhXk4f&)%%K_tkFBO@lJnU#t|a>g9M{tvdk<DnH_3>Bv(_KT
zk@MF;>Id^ZxMTfIFgbs<_TOR1fVce(5G3b&h`!Q)nQ$s^%K1e2#1^U_&)}bvs|}?7
znO>>W3)sz&V@DdyZ()cZvv}Uu^;HR}Pkc%9wgy&S9H1uWdlOqiT_@}}=#ljZ_D-~y
z?1Asz3i(Oe2ki)<XG5^HW|I!7Usqb>_y}vtkH?etVe_W)`;+i7wq2h|`_R*SlVS$m
zVz6J4v=5ulnq6CfPndY$Ci{Etl)#rIc=B!V0BIl8KQ4Owg0C%?ijej}Ys1_3zu}ta
ztryAnSD_teL2(Grr~Uc;_7zOM$xNIE{^`u;LB9WDuH89X;E+Py^0zQ;(Pp-7aEz@r
zT^HQ)xG#nSw(h)a-3}YNRIhWv0+n}iNPEE}9CMi;-eZ}&MvkwJEkU0J;Kw&h^+<b>
zlV#zy7yhW(^^mkT(Iq<F5->yA@GLoAy#%;T_rn1Xmz750C>z$-im<iWpHR|XxF>&B
zQiK0lG7ORS=H2h<CmL|5`F1hVUOZ%Zy$8QCs;n>Xx<uL=)p$H=4M$W6G?VsXWAHtu
zBXAU*IM)(Pu{meT3clqh`--#=t@YPkoZ#&Zvh<{VkgbX7I1YC&%G;3hed_3GBTqQw
zgmf-xAL1Jy3i`lTGNtudVNHpP=@;M^yuu0Oe2;$|$LtT!$P3PK!n~t?5!YbV9yVom
zxcyN1i4b_(JkyXceApyuA{-vN^Gj3^b~0P4h=$F+&A*d}8?e0ZLpV6TlT#M<>{nuW
z1cw_}m21Mq;Q~=lVE)x)I(3+?``*c1xajY#95YznCV094&dzdLGlnVsbi~Wy9aRdm
z?yyv=N=`MLW=N-W0zNAk!d3@gHCwxV8aB5Gh;4?qQZ^2F!hV4qULEl7pJ^8ZV4<rl
zbA51E-pRKYVW+d~k|S_vj#ybVOs~oDYzls_Hb-+8Zn{Qgv`r1q?|oQ!BJdW^)3mp>
z)4`&#nwG-wzliPTqHw#ohifcc)%3DwH+-SzE$e+))h3*i<Xd)|Qsu+_-n$b?zU@qY
zQ33oukZN26K9wn#(G2hLjyz8C=A_soZ7@%-0Gl|>GdUl-0AEZ=y}t*3_t-#d8SXo}
zUMvZ>EuQV+dWZ4z`bh<{z54i`8$030#sbL);DsC~3MbfT;M^`bSo%>@;c@t>2K`eF
zI4S*6bQ~<0dw4IYH+xL05f3LNKJg{_VKX1;7jVOH-#2CW+|PmWLU`HyOxqzi@7LL&
zI@rtWp|K)-L~uyD5zdK_7g2@puK9NL!R}WrbL8RYd4oZN@PC~GJ4n5>ac0*zeBhy4
zycGP}jsE&1tor)n8B!n5k+J&+EMmXBybq2lrSAR-%Zf+0$iO#LQqR&h!x>42WPg2i
z-o(!UKWXtQC-q&n?Ps^ck=%aDLhz&Mz5F|1?fLDjq+VCAsYVDE+0Js0?B75e0bfzr
zqvF#hQm<9FTq6w&zxr@}7u>I8=qm?5k9fMs2QLb9)vCaUTvE<(!XuQvzL=c-5W{ir
zkKE+%|5K~gfxWiaJFvoc%I^8<!~ZFYx9otm3tVf>VLi=pqm3|yuUU@`d@CXQ6$Q*K
zvuBSBtQ+9=`WueVlPNE5oP>G#pO`Ge8p*@5PO!9<li4RYe$XoJ1Z*LkH8~2`tOaS=
z!(!KiPYl3j_T}Fl;m}K+zuv>|s>d>p!PEI+zZ>BK7LCoMKD=`zq8<);;8uJD4z{e=
z9tAU&sNQskw<Zc@MZnj}t@o4d8Sjq~{SQ{Vb?Gq4ogdRyo`W^RV^$sDm1>Ve4)8Yn
zNNSSbKQiBK3zxY(E+P5HRrRCVaF~LBqZ`as*#4QcpQDFDFOWQ7fa?@#pHp`nxJhz{
zio$hK_zj=Vev%Jt+P{$-KFYCvkL)i&roLFxAMDYlIcy6Dz1qHm0^WV}(ovEJeSMR&
z0q(hRbu-DS`Bubd(I2JUZ(}8S-KFfRY4}i6dp-F+ba=UI`e6YTO#!mMy-X55cf-Lt
zhk{MuG-peX7C1a}S(bdC*A*tC8etKN*;sY>!LE#Lq<?<xa!*qW{!i!Zlh^QBn!Dc)
z!2DD)LdCFC`2O^R@UyM~BhtTTR|!%|z?v?}?b)!TPE(;2EZb+knhtk17qIZbuT;4I
zOM-tLF{<T<DdhgrC%|vQ)qJ^N$ukXi$oRuRxqtUgSZ^ryWdz)HuRMqm_M3N-y9v`B
z)|Y06RUC}plJQH6htfDT%&pC%cNz9pZHS_STgJA0^oM_C6sm24Uk$2^*~0%g%ht*H
zr=O&Hj*Oq=T~eP@!UtRLt_i^R^<plO^Ka9ZODBY3_NjvAUGPfFlp6<}wCo`&0Glbc
zc5}f$W$yUzg_8#ZEXa6mt?HAABusI}xr&VEZr`NxSAgXdimIt$s^_`=<b2%q>)u{6
z9z4y}F02i^at-Yx<3;OO_nYMWtJ+-lkc=lEJqhn4-`Ca~UlYi9bJ~Yf-U@De&_qqf
zqtqg5A>{jhkj_Zg4GZ{4Yn+1jg&$1rfUn6>uN;SM*1b{+;BLjz=cnPmEze~0Ve7G*
z4&;0+lF}%C0H0(SKSlBz9uazEeBEB0$4&BwFYfE#f;p#p{5@d~mbsB&_;+EFDA_(!
z{=%3W9QUSt$_sv?XnLNE@5jBb+;fG${ApM<f<;qKJ|_9<GnqREaEQ5xImre8B{P!W
zBc8zv4kXX(XG<f$S7wxRw~$=y<pq8o*w)*Co8*cmYbBg8od{(MIUn41nJSXsTYv4Y
z_LI*~r9aZT5&p_4dyC|U4~ZF*-*+aaVX-8?7F+je29DjTtVwd!9h+UdU`t&u6Owbq
z=KN}h|1ofEAo<JmG5<1ntF|Bm$q(s8Z7G4J7~5Wv&%bxrhB*t4)7rs7+P|<|mW&KI
zU9zHyv_G3H4hTlVg(;yuq<z_`zg~U^wultFLGqv=o&)FM$PK-bBzH-h>+ps9md_j{
zxge!w*AZCS-RGAF+-)G^W)2Uj&}2Kq>0kS1$n}kp$KqRkU=_#u%VKchfyye<9{KHH
zy1IbtE!tj=GM8cR0#;UXeJ0+0X50@RUDdzW2nSR$=>@@B6)s}+u<hl$zb?XtG=5JX
z!Fp}xjyGY0A4zIS@R&*amO%JeK#GPeTpza-lMZ`^8a$JS8+(H%p2F<cyq=NkbzE|$
zhYH~JVpa}O*qU?tZaK{Teb<BC@D1Z8)z`4Nc_Rh6-Zx%mA6XAiS+rBI!D15ZbMN36
zgJ(~(!>y|M%H6O|vd>p$c;?Ej&%N+I0~RZCeenqkpVCLTZi;?@9`-KzF+B>`R^(|g
z!3Ld?3ZG%4eW|sZ;fj9esX6$#xcWYF{j%c1ANg<asGsDsjd169%ft_uDxrg&5?<Qu
zCbtfIm6yf;!S&F*UfE9@TW~%Hu6dDq$?%gmw!tFjhQ9nl{$fN<nic-V5^#*vv-@@g
z@xbw;mi^yg1(Ao6ys%g1s`@HittNL(7#`Pat66|A+Wgrk2A3&%?OlfV{kk701OF>j
z&6|a<oVVR84<Der97O8n`C{9&;b+#`n`U6m-If8mFss?kzIoU@HG;<)PW?~EauVhg
zG-<YlCAZ!YC)>My@#ZNnxQ0>dDY<@37j&4@2R2WYn*R)&9pPZO4GZ{=c#=GS<3L#$
zTpKNUja*NbogOqOg7+%4ZXnm2-(E;uD}m$Eq^rs2Pu8Ao-_(ldzjhQH`VN~PD7Z`o
zANo-=_YZdbZ&Q^ZtaDJvlk5*I>1Hnx_&#6$A@cV>zb-K;!K(*3s>uGkCtg-@0B)^K
zk0bkg_VtLJA$+EUik0jy^}q~z6S$zLIgr$st}ECcgM$Nw*2(?|-Sdam2G0Ff*s}z)
z$MNTS!kIDD7G!@sQkgt<8V;pvt0eWsdoO06hew;;Uk}3*w^k?v;P{hb!lQ7=&f7<B
zz;j_|Gy7rTPBn^~u%D^yHgbJ_`+T2yB<#ph%-jOI*c^Hu3#U{0T_V@_2f6y!6Jhz>
zXKM}cwf>uVk6^Vop000U&7HjeGT}j`)QM`?NVPRL2hKciXIuxn(w_KJ03T`!Z>xa2
z?l9*R!Odd2isb%++;H~VYuMi0ue1cFs58x~g3~_k<1dGcAI$x1g2g{rq!qwppYA?s
zh6N&-7>nQ;Rk77>Sf0^{{t3)9e9CM9&YPk*p9N<O(>xx7CER$vllvp_QW+)_u!(z@
z!(;ebiCXGBtT_MEE*9Q%^30zlxPm38iQI2VjNM|m2JhTaaySy!UQS#41FM{HD~N)(
zK33DGY9rTM{PM~D96EQ0Cv>oqD<4-d>|DA2V;fwk!^?3V{@2cI#tvIdG+qA>o@y>g
z<AuF;)NDEfpC6Dn;fG@fPkNF2NhQ_;DPpkiC%bu1IHcLyXdlegMrnB(=I#2MED!(Z
zJZeGiS4q5H{iO`=_r3nc3AQ?!sHX|%|MO6_hVOma{!<&CkY~)cg*jQvb&O%=_yr+y
zKkVkR#1B)rX!UNiC43^gSKAtn+IM=Z3A}Mu=bJ73sE8@R3|13d&~%0O)J(1E!PM^@
zmfhe)pAc6=I6Z8$h7Vk4W;LM&M@RcDo`sWze;Vl!4{)hnf?Y@JTMv<XjhkOD!;glK
zD`>!*m?aK|!0R63CCaek@csE)aBSpTK2`YFzC$We@Qvj=De|z1!;{$<_^hf3y&~)<
zZ>*dMFP@*iEd@`#EtpA$Ekk%6NIm}yW$1IbA^QFBK6v8aiTwp|g8H^X8Q5gGw7&-a
zyt_(D9Co_H5mFDw$=fHAdiKhi_pR{J`OREHu;MG;8y&ECn8u<Q{5--}U<`h~ed6>U
zQop66>l3_S&aWu~x0USn`v&vBcvVC0cly7&%(n_R-~D@E5Wb+;QA6F1_OUvgZ5Mo^
zO2mf_mVI;KD9J^S>~ZFY`>Ox+?1W<jFK-cq4P|w5_~A!q+w$e%lXUgM+^{~cpuHk&
z%ER)H7k)W&eq9&tY`7V~LFzeLpBlhF=_RJQ;K`zMe=Xq0p~<e>;db4(IhOF>ADSI(
zaD?aC-wv=)je}|(?)T2x?ee+|hpA6zHNbL*dtL{_lwkpP?cjWe*Rr{A>W&X<4)6t^
zYr%zZk;|<WHMn|4O|cRV-ulsw+^@G9p$%<->s0xy<zT6~-cQXi1+#D6e%RsWBiSBU
zD4|l74^Ev|Q2qd4kD$%why9JH?o7bcC%J^UVYaFd3e)hHAlIm!@Ttt~+Y2Nw3kcr=
zJ4YLT`UVTF)~s%Yb$0EP{R<bHHJzh_Q{(4H*I|ni#!&`%bM7lCnhx~W3-llU;&}<@
z4C63Hc+Y=^+8dBt+wp#2h0SPG)R&NVre?}<!Td%3Pgh{;^@}0=aF)s`(RtWGKv6~z
z9%Igq{R+F$Fx=P&SEmKu9f5z^TpN~w7ao+ZjlnS!NA?|n)gLGQN1g}a+{Q4Z3O85v
zj(>pVdB?;K!(+)sj=ivQer&%k{APUqT^~HC;UQuM$Hg`3kmpV8<+<Klz;)|?3%cN|
z#!G^Bu<6Zi$!7Rk`lD_KxP1q0LMtq&aej|G%;-13PM&8;UgPWZfO|xlt~bH&cK+h?
zg{y1^HdMo<3TbWU;4D>*-g-D}$;2lFeyX<Fyb@jy|H*wDZuU}sT?J?F?(m9&J+*!*
zmBHbB=Qv~GAKP5Ekor@v_Ee<9aTOfl#c<DoCihJEpPlh)DNL=NQuZ7c`LOQy0v-}j
zJ5d0u#d_+J`tFn^>RQ-vf~D~pyo);OWj%aFDJY>37C5GM^gV2CyPM-FJa=eh(*T@d
z67wY=rgD!={|q106!Rp{2WfYUna;y|hljFBt~FhtLDh-ppB}jjk(}+j(IPb*n!<mA
z<dtjP<Gk>MRK}+)m^aruk{=dJ7c9+#Lua|AWZ_NJDRNI>C!UgFd6?Voq#wyC-z#<)
z!@&`KOBt|tZg+qg%pB?5kOLoZ4%~ShZjEZvcnouv?`U>~a}AiDk@}(5FI=bLJN({a
z$uRw`>rFmzFy+g*6xfH)n&ToI@_Y-+19)ELOZ_D{Vd}wj5*#r0(CrS~<ow0u9_)Bk
ze0wDPsZ_c>9*zv9aJ>)n(q1!&f-A$Kw?2e*gX@c9;BYPv=QKDXn@RQ#OcD5lDFd$3
zH%pFyFT}Pv<iX}F{qcb?mGj5a0{CYC4vHXHji;3M72JBs;;KJ<^rmw0Yj}fO%xnOx
z*u+ZR00)R~nDl}d(^wpv;rmL;#y;?a+Y9;K@amBVx=!%S(^1+1_-jZ<;c?hnvC?`B
z7XG>GnFTD7kybbbPwAVpTf$C#*C-d@&$WJW#&F=>h5RKrSS54a6t>rC-?#=FJ{|t0
z4lh)tTCc<LIt(sa@V%YabE&(~e;ni+Q-P^IPFvE!XEqvRP=bHI`fb)W_@UP+Eh+e-
zcIZZSSl{g4a~U|g-OG#@e%hEUE)E}vd;4!U%-7X;Zy!vZo@Xou|EJt?cNct9&NfRD
zc5`1^<Ab-&s{K-c4TPq@ZG&@bKbfk+ndfO7Sm8}Oo71#mrm%%$o8bos9e?Y?wSO3D
zY2cEBx&{{TZu>UHWjwDpe~8)C7Owj`@%S4&vH4G`3%pp?#QOyf-=JXR1`GLo3|)Zb
z4E8+ohJQ1?rk;TZGVS!w!u7MAXJ%p9i+YLvaK)1#&mq`c{^hqoI6Xb4cNq4~OVhdq
zS5>>3y@%(Rx|c%Xy_4rE`r&H&8ub`>q*q<B6BcY=_!<W{?=*Yd4Hub?9889{eB$73
zfvGRh&8NWUO@%|-V57jb1KF_l=h@ATaM))4&$+O`<)1!p;oGq+N-yC7(K8<9@Y5`t
z=rTBM)W4?!_WfY^sTy|uG|@_)pWLKyTe%S~k{vsq3-i>)&Q`+h4|VLw^OwC-mFjh{
z6u05Z12{asap@I&I&OncG<<KqH;L36Y0z!H3xEIg!JrssH}XH{0n^n^W!1tm5l$ng
z;4;t2U(K+D*VBGGn9;M-v=er;I``BWPV(wp8G{eq*eXJvC!O6=_h<s9igq&ag?Gv3
zzTMxA_UrU;lP7F*EaRLKeA>Bj@B-|%bd$~nE{M0b4<vste#_noe)i>r^bMF}`P_!H
zaM-4QMPaa@gpY+c>~)%sHv&FL=bCW=rngUf90!lPTmSMSe_z^o;UT=8`A|YIJP>mH
zcPhN!M`9reJ|t!0Pz|4Zr$oO1-=x|4i9BC=@7)fEc{smM^+ykEupGa_+JpAv0fYYs
zSSse!VHWsJ&P3@axL}A?NgSRsDmyR-C)kaLi@<K9d6&rX{H{OfsyfW#c6<F7{8(A1
z=OCP^tJ3oiZq}tZZvqcL<Np8o(U@2B))02B*SOD!^W(RzdBq8sn^BaDoKKyp^vo_W
zQ}1xyPB>N5!#o&1Owpzz2yfKm%nX9>`{pl8zz-WdW*@`0w{p(!haK*0Q%!}>2zP!b
z?MJ!y^6qZ<v)Ir@Ls+sX@_Yvz`DXpNJ?x{w{gkd3{YNqPj4MnvlebO{2e}nTd&6?$
zjp`zBk>)Vl1-M1q^qwF*Z?Jgu3S5lGbq>N+3_FK{;UrU@4+r4B2ZmhXu&S<o+Ywm*
zK+vOD*!lDTpE>L#?o>qjj}6whivr+*vNT1~zn$Cpo5ml$VaV?P9A+F6{2dLay>|RZ
z`r`+IQAT&+$9>DHm2j-r%R||)r>J^uJuJGsBlZbAZdX6h33Ii^33b4234HbgaMt32
ze=B@+!>r#VJj80nv<hDmG5<xzR|opDoxYKJ%X3p?yv9mnd~e@-yx+pS>huE+7TK&J
z1vd%pV<O|Xh{g0^Gq^oH^)`7vHmTQE`UuP~Q0GAYp6)|Vw=2BUTVm)td{4vasyqBF
z(&7bqezuVBIp0M%>`93@8SfR*yR=<`kGhR)BHO!N{lfbWyjfrA$|AgRpDTAH>~g~B
z^D_KPjlt_aY|54HLZ06>VSdf=5WZ|%(*6a$p5x+?2B(fw>rcU@gWGmwz{7+4_(;9{
zHRsYIIB)NT#82>$%of*DxO^g%n$(LODk-Xh^J&_GKEfFmPR_OP)ydH>qwxM|+QMe|
z!Qjr5WdDZPy>MuQ>FBf$lKPHsn>LQXS<U|C@8O$Yvhv1Yt(_49q+WB`^xtQACBHI-
zd|&SjzUR!t`XZh5J#b@R^6zgjMfjhP7ML^kVAd+^v%+Ub>UFtebZPo<e)DVfzlHx=
zOaGvQA8tLSLF%QBeb8os^R}I@B+pmp{`_x+74{IkCDI5B1n_I_gwOv>Nq+-7U3tC8
z3xAL**iu9CTkdKiaBok2XgSO~zy3uG{wVYQdj%{OkgF;S8!au)<-v72o%a>t{b&9j
zCF8djfmdeK;3r{}UF7&aJi`#D2@6UwtK`C0Gs-6oU|;TSrDXi|&RaX$7!H}{=6?bk
z6@DAHgmWKrBqziABbOtsVZ&H{+Ekb`TYS_Rp197u9tDR}$t$|U3UO>6<a|>*KXuy&
zPH);gc?W*}<b=F0?7vQL5(&RZ+Hvy|{FGw#-A%YjB2MNCyzcN@E)-_Z)4mY`f0G@{
zC*!G}lxoS_aCPwn7dhY0rTbosg3s92-@6R={+inx3l~r{ZM+IMTu;7|2($Y?4)_nQ
zQ`#=}2>zgwZAR+psxP)Yht~rGTF=1>YhV5=fCCc)6-a&5kCeCNu-<dSLNXpZ7PamC
zYglT@c&9H+wY{OC9!~0Ef8YtbFw6Ni!E?%-l&4`gj?c9n@Y2HYl@qY_g(E)QaDmL2
z1*z}({d(&JtW}uUPR4WdL&B9)a8YEk5~+8!9A;X8dqymZ>|vS*TCbMi<gp{XWIQ<h
zaE*QqR^LROU<Gecbu9e@JBUzkwuMz1SZS&HG5#O3{cQlJGWR>t!FPqNP8h>A2O|r%
z!3}Tzjvj^=rsnKfVF&SF`g-um#K+HhV7*Q`HD$Qqt2qrn{MT;pQx%wBpV3MTUNN#s
zCF8k$<M}Tn;r!o53{r5!q~|6@n62f;4>Eqcof2B80V~NSg)zgkoXyV4aQ%SlA{kHV
z#r3_>fpsi**pTs9((6QKQ}{)AZ0{soZPrv_PX1o<)FCn+JF_u@(H8zIKT$pke_bsu
zvxjf}D;FUB=eqc1IycxoD4CP=w*fp2&Zpp*lV^g-c+B@#c%dJhIrU+kjHf(S@*FO}
z$|Bc$$@puHM|I;ZSmw->F&Tf=Kd{XUg&(w(m6Q78Gkg9;!v$Tw&)>jDJ{>z6562p6
zaMr+s{kt<$;5_<=v1I(UW~pHQ7(ScpzD~wpv)!B0bKy6N<rj-!lb5U}&*0<#ZcdQ*
zRnm$_Q;OjYQ9B2+;9UQ|KVQLr{bn?B;V=B}bn9Rha~}mVJ{uGpOnnPqKPvy2ydSeU
zAZxi3Zt9)cdJBHpmic1<E?UkE2!)NO{yRJl{|fbVCF8LoI-S*dxZxFV$7xuSjz{M^
zToqqbY635nzg%61qpvU+8NuO-Lr+%W7E_5PZTQ2JVzV{a=tQryE?lY;^?1_&#@A!P
z6pZkTmaiMx;djfdr?<dd{hemK@S205GkJgN-MUte09<OFxcV3GSA`WiTJgYly7OG8
zVXCv<wj`gWmH18G-?}9lLQnEhcKMTSaB+(_6Uk>nYyLIE%%MTAx#7DWi5B<a{olM!
zOTaqqYn2aRPmben_QShf-WP<z8ph6SD)6RhNuF?0&t>JN1#51oq4b6q7$sOuV3oLS
z-e+L*YLOGiU}aGbJx%!KpQ|43aA?`!h#Ks9Gmyg(elNcF85LX^SL=I@<fqKpX<&WE
zwz|vkI~j_pX1vcQBqz2r27cnnV$ufpZ&&qBfI0g0^Rr+}j`W5s_!y@#XD)nXL&c64
zu!X6*e=s~V|Mqkx9G|2xaTDemntIa!8;pOJH;1X~T}}<a=3=cWN8qxxTd&99rt^C$
zC-6Qcg+Kcn+Ce<Oa`&{wIDFjslh;OgP%!NBRaoMH#Ew1iV%0yEEAWol*?KOxv#%kL
zyuWIC??632T=QIu%@w|`_sy5&FI*{t$osHs?|FSme)Cc|y8#>-)x$^f{W8?_DzL%A
z&GWplz|{w-<b7M?4g~>r`0kPp;~tpSPH+#&&jd_8=7aBOc6aT7XWo6?_y_O*3Pv&s
z3cyjRN%6m6Yn7rNZg@@mU+63>Jj5ol8*Z{F;+uiLJumO$fTzU{hIhgliF@Dk!L1iI
z?rDdG{%gHK^3w0~YpHOq$>D1vaB*yH)FarsdqjfN`$*m%^MEHVyy}&K1ss#~ykOBD
zQK19y@aInt6yW@*qb)}80Q2M~W%z(hD~}~y!2YVA5&rlpjNJ{st@2cj8LkMT@$iNn
z7mo>$_t$lw%`yAK3Veqm$ouO()~B3<;EUs9KZjw*(z6bsu!mrc(<s~``XfIY{{1y2
zIvl>_V6^rej-Ye?P2TrUh#S@~g;VN3%wL7iJHAhT4X>B--M9kJ&T1MK!QT)093%4;
zPzSeZ)x##CZx_gX28^Y0-zs2+x&U`F-@&C<F-dRWJ-)o1y72C-y$g+S%bC%WqnNKD
zFuPCk3q0`ArfVE7Ex8)>9X=ztdGBl3f{(vr(-5vt#QDX&fi-12`RL(GE3^Ny;F5J3
z9u|1Q*UXK~XR)`x>@*kb#(b+f7(Q{b^OZ2H6Fn|+3qG%XlTix3%;HB+=I1!YYV$%F
z_DrtxJq2It+fJbgU;5Me;Rvjg+x}M{mXGJsItDjM-!Zm;sZA^8bYYh$!&EESn~E}7
zAFi#WUvYvT)5k{~fWKK)X}ZB#{R2N#Va2^y?|H*j_jtVb!|uP196Sp<-mvdegz3!L
zqWs~I^8<}!zLP66rQ?BcW&oSyUYKUaU-lOKEZ;Co06zTU@Ng(>*LRy)7~Z#^P9g?=
zGWhBiFUcKx`r_arzSYIu@LkXQBFV7*H~y1caNx3iR|?E&Yv0KO?+xC)CmWtTpIglY
zuSI5^dj_xm7!%nFhc$UM7Q>1MH>J_SZU*8$WpMS#emXM$iyi%Pbv3+i)hvh-rudrY
zQ3nf`-kjYGJIMG|w7}`MF9ugJ-^``&<BVN!r`)*u8vJTB$6*j2s97vuhWAz3(G0_<
zD|q?8!-G<S){}4qyJ*4}n9k?@rWrU$+KOTkW_N#Nu?TB8I;@Ps5@SCyzQc#3Lv236
zVu97Gf8o*NH@nGvI-ASgQ#O1+dtLlO`6KN0QD&J2?rlpJYlo{%E^08rdlc(q$oxE8
zxU}Qg;Pc6kuh+nP-d>sFf^&Hr=IY>MiiQe%h`Zv3iePsBi?>DK!c#9bN?|!g-61L1
z(({}QnQ!Qhy}S5+n4jlvLM|N5sdVKaeB50<ED`p)WYDe&f0D9VNrtV4ckvm*?AydW
z@575>>2HnUvfpam4`6-2|G199T{&Cyqv4C!)@rTcsF!;RV`0t3HrC^Ci1ZiHaG288
zsL~a-x7`>M39Fm(GoOY<vg_z>!BJc(r9LpnO5fQ~lHWf^cM*QcbZ?f-*R-o@q2Ll+
z_+OS;FsxQnPk968Jnr=FGMuHWk{1FCe>p3C6;|zHS&x9tp9toV`Jnce-pY)Eh4}US
zNxiy?ynY(I<5%)YGN05gO^(D&Smsk+rw`2Sxb)>YY%vg{K<29o;oCc10?W}xbXdaT
znWk|hZ_7QoUk$cWbB`do!%pvZRk)!2)&Y`hHgezD1e?WIU#WwiF|DtV`M>n2aynYz
zznx5<zGJ?y>ACHEU9h3#7rmcw`M-Z>2VuLG(=}wivEBs<u3^|(&p>nq-g%qTYZ7KC
zYD%4hL;H1DXW$~U4BD@--cK2~MVRUi_cbz~8TAu~Ei15@?$4PS_<(`F({K2IsfQz3
zPg3oeAMHO_Y@b%sC-~b9N1M&VXb&h04wCuOv=>4sXknR+cQQZ1-f6x^w!+F!R(6v4
z)i!zF|H}e9*0h8Sz&YtRjJe@uIf;Lr@U`ZQ)tzw88R`=~aC%sbt`J;N=rY^_zhW*}
z5`l-JS@TFe8&yP{672QRW6wLdgF0751#VN(xI^mc4m^m|f;(AaDC*(AiG}-h;EMMi
zo{eycW!h~MSoBiS_#5~mTe*}u9PjR0PzRsi5Z`+ocIe6!A?sNxsyw@V0v`Dj7)9z?
zPbIaVhBwK*rYVK#s9#(-1Fv6+^&#`sovKKAdlCLGxMiBmXBS@d;!FVi<!hR85qx1O
zwe|*FTHD)@2iNQ5d)|ao4RZI9`S2v^Q(s5I#S8rzWWK!Ys;92e@YeV|##}g=Ho4>>
z>`D9n#$#B8C(|JbmhQ}+&wyXe$G^ycTbWyrlll0r*gvw$f~%>|$&mV-GuQu?!p;nL
za}wYmj<+&i!FQBhwvqbGbpO>_*q+J%_C1(+Ip9$PJY#FPMAq9htMFcGgD3vlxktf0
zZr%?%;kTZW9WiiPsq@?bJUgg-_zrxa#v$edEacAkoUFh3@PYZ{1ni!{B6t(l-Dng(
z4gWHo2)_->IH->-z@~PSltJ+79;KVhu#8C2sT;5_t;E0@>{FOyP1Z-Qk7O0u@DbOW
z<IdMyfTcMZF44gJ+dUP1;EKVu-Sn_Bt9<HN;<+V17I?R_0J|rwPxq0V4ZaYx5J=`z
z982vzy%T;KS?y&HXAPuR^25FLH+vmnnH|Z@;_zD@{aUjArpzrzM=AK_Nk%aX_@$>!
zfg*ggeJ0fa4&YO;J^-Ik%AqCmK}LtkJk^B1{b#Xy5YAZo^jjCs`?b}9thf1m<Cvit
z9N9J6s|0_0@$$O`?07awg{-&vK&Rla9W27(_L8iZ*>d#yf&<Llznhz^w@K@FP0bxH
zHkgi<ghfV;KYPH>Mbp-#;eXeSlzriSUQTDk;LS#ypU%ND9$W)^;q(7-$X$UkOKZbU
zxNmdTjqC7BKaG84eN45!toLECg6NNQGT&xQg6EY8INv6hfg4U(KGks#eyT{h#sCMN
z`@Aa=4!BzM|M@#Fot;0E4u8$E=_l(|QcFGI$b_FWF&rZ6TRwi7?fD$`>C)dz<_jGZ
z+y3e$e8%u+>|glw5e~-Ju)B>&&{tTB>Vj<zd~dGv^CDc;bNSgj_=lK_<7fDZi15)?
zc*78V(;WOhP$H`rHVu0!)(i8Rb3Gb{Gqnt3`r!1_0!x!Hy|md?vR++uqwS$N*k<Fx
zG?`D8;kJA93ao3Ttw82)ZE2M6-!OvDv+MmMGJmUV_+e36xKbzY!&%s6-=j({_}sFH
z<~dkNzJz%X%)%OU^$=YD$Ua>jR!W_lR)<GFU;d#AKTmo5hs@8d^IJ{O7B0VT6ZZwq
zv|{TqhYiQ>(oey@Ob0I=h1tIKo+a}M>$H2e+QZ_19C|xpud1$^6Yx*!J*V5@&1q>q
zB(JD_+(G7lR(73mC3y&&@5y4g#w4GG<W{$9k7UACyp2xB;m_;|U&;D1C*<yKv4O>S
zYh9Ayz@gY;JNUr(qrVT~OA59wN8qc?O};Vk{l7N!$KWkhISf(obQ)ioF>IR6=j{(y
z(o#ROgr_E$X#RsG%9?CQu66yAhZDTEbjyU~(^P&G4)DEP?SDpai`9Eq9az73Y?*xi
z>->ZNv|thcgcOo*VRJU*g&&?v8z=wYaCYODyWwqyUu9ijj|N9kF1X}a!4UcU52g&F
zc;MFJe|x>*!$rq0llk?18ZKY*g9~Q#CzxT;cg?K<Z~(2THCgY1uPwwc5YFx96DIXG
zdi)%B;d3QBlgWA){_j4#iH7BksHsT(Z*{S439#4tKYy~`g*5MYX%hUdaB7SKHrype
z{{%iMJz)6<>k~Y*ntYK3TT@n5lJzf+jmT2IfNf0jWXbv$Mdzn-3gM3jV-m>v7Td1N
z|9u6kSY6sm)=LPyF!{I=zL;=$gsgADNEM>f4kug?I<f%Ao|9SVgn4I1Z<GA11pm}5
zY!y(nPS(FjQtr6(1=f?lC`<BFtFNzb9>w;8)N@F#p6nq?3-^dqYLoR8q~ARD6@>)_
z-@ICcb$LxW_ri<9_bu08s{O&ojbN#EjaKsib2gKqGlg$j%4{Nez||caJz&kEo(m+W
z-Cv)13QoD%_LO|S!4sLu!Ekw^%Wjh2FSXFR1#?NeE|UMBOXKY4cvy>e#g%+M`M7&`
z6X2-el@_u-#O}Va@yBqyNPs$7A7W->*zG5<W$mSGvfjnrckhRu!BVp8J11dnv&%s*
z;GuW_=0C%^$5@4G;IzLNoyTEs+w#^r`1abxw-fNbhnsm@;q7Y+s>AT`T2@0le0=*t
z#t3Zv<~w^o{B+cTs~=tth<h^#+p*gR4Z>1Q<6A$$E-&7$cENe$fu)o1+0Bjiy>RZ!
zR=TgS*r~letuVc~`-??5_M?b$2i$U_nBo`whdC_231+Y|%J~hyN(tG~3`Zy={h=7c
z_~6m_omx2er1ay>@CSq8m3nxo{n~dXIEr2NWF`FBZhPWZcwu~RM-{xR=kk>UR-J1r
ze*tUTUsc`(cQ@AYy@dBKb%qPUS?rb!8Sq2Ju|aXzg<97)6Lvo<yH^f=nbKkx4>vBz
z`zygWQp@We!v1YxE$Z;Ik`sGwz>dW~-sr)WZw$jiU`A`BZRW6y?(nQP%>C{ml?@zY
z`P%d>Tq*tC@;J<CWhQ6=FB@K6@`B$w3x^+tV;+9gI1e8lPkS#3FJ8NR{W@GU<f$S9
zCw7kZhQWcdsUeK8hounf1K5Jc?#mXKDkst{6+ZK^b~sNQ<2#f6eYJ3YsKkX_c+I2g
z#w)n_&RB0Od^N7_JjolcAM=ieC(3pAko?EN4Q-d;*cZZVBrmxZ<aQDMJ(gWt4j=!y
ztHBv=Og~;!1Ao7f=imtIj*dE$yn>HiMjejk&|9m6n<-zm9E2^^YBDR}GJoe{NjQVq
zex(|wPugs<55Dc(ol*ur2rW?D1?PUYo3Dh0=k2?>;S$%52gPu8fvgTId~GV?AgLce
zJT<lrj>}!2&xduED~{5`vwCIGh48m>-$fdj(MtGGF1$}y-*qGWg>85;4|dj~UjHYC
z{`Rz9Oa|;%GUB@m-_cuB$bt)1T{4$p`jw8D`><IGrf7g=+Wi$D!WLq*#WQda@5EFT
z+~+eTItCx&x_u`W4rje#{{j9}VmVE|&rChn?jHDh!H+v3aB;>~>JHfcMb-2<`1HFU
zmzv;`T&wW^V1<L-tPSwNtO_L`c=B*rXeGSA+GO-B%(VD$PX#=)xggvFF8y%r!Am$u
zRZWH*Uk6IvWeQ;X)|62fc<Po(Rt}uNFBakk*W5p#o&{(Az9r)T`xyw7q`<d*m<F8S
z#}RC%$#7GYM~D^dB($O79&9WyCuR$eB>r%Sh2KVM4Upr1>hxRPU^rAtanJwj`I|lk
z!Pgt^cA6kRcRIe+7q;j1<vt3}IX!Ya1AiK6d}|0(wwg3p!yn%NE;|BC(;s&{1|Lo{
za3lFqy%`xLSeEbEA4`~Kgr;pj{B_`0wlOSV{z#k;*5K=ZK=N$q=7yax{nW0*B(D~_
zn!g49LH8)i0yffqsmBOkS^K1F0Eb3JyrF`P-*HbEk^EDm6$N~d!ZAu4{=V&T+iy|a
zA6tr%*M+~_A9Mc&bNcmuIs{WaeLcJcTVA8QtpSU>Z2WHl<~G!nSB6V%Kh96XTQ8m-
zQh^zCgl<m4>Jd+Gk@jc10M(yic%{E{uL2yQVSaB2PTbElBmr|!Nz?bhG^zWpO2b7*
zgEKl|VcnB^Md7+XE}ZXR)6N@Rq<y<~?e)t>_)E>}z&$VzL$XK}{QhLm9?~8z*Z!`3
z4KJqCckP7vWQG-r;Uo{93w$u+&O_aWu>6AA9uBzY%x;~ha8|d&TQ0aGGITr}Zb*$e
z&jKGGFlu=S-<W(<#SUxBzc~>PXMXJPVupFdQ-|)tt12DaNIgvj+xZAM<LdewI(S-l
z&>;{OEMKH0^(E}b)&k&3A)XRyxRj4$!V8Y$_`87-J}L3&iYM$-Aoz?DE-bWjw}s7Z
zzpv85S{vp!S;I!W+!-5Tx%wa{4ftqeK@7=bZMpv(f*Blp50SiPGRs;N=1<U;Ao*&e
z;ddc8{Xf?a8{h`k4)d*WW#Ef<H1MGM)vru2r$@^LlD|0e)8MBFuBWN2xRN}J@?gOl
zO!I80lzg7`^A5ou;JXXA^~wHg<4&CY2urG;Pv(b1ih6XKV4hBkJ7O@cJ>9c+@V04<
z5g9l?#_#?sIM?B<up<0f@5!Ina0KV^OKLEm`BUpmSoiyuljQj9V(5F54g332RG7kz
zcXnkzgtxwBrXuIZrX$)+NwDNR)iHAZC$w;!3W4diUDG1%1KWMY&Rek0&;R1R;R8;N
z<rm>_QP(j)m|ZDgR{%U#WG{Oep6BJc><UW=X7L5X&A+9_-QYUEbiZ(ziFtqXF?c!1
z`*k!d@awRo4SeRj7jpu<-MBbh6AqCK{+k9bDpoCP!-uAWP5$40+gzy=hQB;}H&%rF
zpz;+FF<AU?yDaH1WOn3*Y=@0YlldCpS3fi6*x*W*Cw^`4Pt#JJ4e$+0OQ-j6muybn
zCU_^m)60*r6@3cbyfA*R#H^%D!LAFT-d|zba~r;Wg^Pdk92<dcgG>*6gPmt7Uys4R
zXdEN|z<R<uQiHG-?G2fASV(r?y$|p;wwMs=am+umJL^g-Y(dx6#sGIJhkj~@Pgacc
zvBE<0RhCWg{PVx{JK(%sX%+9_j2R{lUie;Ow`47>yI<(_Zdh@)Fs>d>_@Tfo25Xo}
zFF%9N=A8Z`4acX@TmFxu`;N!zed7R*WEN7{QC1~;Mz*A6M@Dv1Ny*MCWF;dqipWZ6
zSfPvxQIZe|CDd24DP%;y&;9%J{kkqaXWY;IoO7S+I+em>qE`(Mz{L!PYB}&1=af`+
z*w|SxFAtWDdpLd=zOH<cA`YgHD(NwTb8e}gx&dGEXxVECw@jR`_k)$jA8&Vnr4P#q
z2g3EKZ_k{C<ymwWZD92czDu6)lpXB}dw6qV%F#gBSf_MF06za*%OwF`v)z=k3*M^A
z&3+9QzBn4h3a>oKw2gzE-sp0&z>Vgfj1ll=O94tsSU7OR<T^Y!7k6iUH=eJVR{aZw
z4K@d`{DH-D&*p~1Px>Yv%)?$yibg^3aAo7o5%}D|jZ~7~)2J-*9iG@{d(a=g6TT<+
zGu$>$^^<Jxj^=#TKKN1W`y?+|cs5A*Ev$2!;fo(E?M~hB8a`*+73B^G_07n=gm-4U
zh?4xxaRHrmaA}ED-#Pflm($vn@amRVffwNUS4%_X@UL^%_BzA1^qp_=;4=kT7fJq{
zl#5diTq}NZ$4U75?&G~_@Cg0Sm#5(5tMi_>;D`MM=WXCFyW!CruzUBOE%va{OxV>p
z_{q#@ojELD=J6*2-b#1U!3q}e=DryQx1Zn1WCH)rUi9~d13Bo;NWSI0`)r=@qoPJi
zLs*|VIr<#@S6S+wG0b`BsPI|1lyltp2>dQZG0g$aervLD6kerRkh6n_=IC>@;0W2;
zgu`$gn@9|at4xN99fGa(2KJM9!L-^n3HZzYUVai^_`O9)3_cVT*{%s!=u!tX3gi1r
zakTa{oEJko*aR!tJz%~F3%q52d>?KL{*_M7=ki|`)*|@ji{mrod<XGFET_Rfe@@9o
z!8KL^HW_ete{0kYm?BT2GZ{9WdB5)_{AWc#?iPH&QtnDR+|1Hda0BLfBgdZ!y9YOK
zx(O#dz2lt^H#lAlz7BVWq;V9&d=rlU#ljz#C|yh8soS&`5wI)I8q*W_kJ55Y6#SR-
zlw&P?pz@YP2t1i;v+)Hy?RM?vRhW^d+2S>PuS$S65H^{wS#5z`LN~St!*(9AIsNd~
zYpI%k@TZ0l?EzRIEh;|%ZmAu=H3EyD-_GR)-#q>0z)$#d%Erq+FxyY<_*qy>K6dT`
zyl+ZY`ZpYLDbUOv)|k%>Uxl^*TYqyF&OUa1&pN#Q<-iS+|KO8dJJWa6JB*uCpN8d&
zbv?GgTwywANd7+2iY89@tAFih2YA&c;|ve{Tl9gN6CCA0S1SlF&2W`l!%0(9w!7h*
z)pYE3aGfvyTX(qYh-b7pOlPZXCJoEW8=8=OwVzx6YQh`CN}EjKM~4<Nwc$7S?(QY|
zFAq8V(uZHY_<P3?cKoN7Yy_XT>T@FbLEaq74sfruc&{F;n7{D#BuvjjK~3Uenu>ja
zFz4+fz9g<j&lY$E?#~m-JqC9@GWWR!pZ$80jl|;_WI5B}UGKH?&EPTi0q0s+t;n0x
z08ZFbP5%OJYd&8{w(o+Xt@#kFsU6Q_1T(H5SosETj?Z{#314UZtV8`D=HucLJ`<St
z`m=Ew_(A)dqa-d$G5sGOyd$gQxiQ?r^e&PgzB2P`+yeHCSr0h?KXRL~A#r}GFM_J@
z)oJc%5)ZE0#Agm4<=wnSK41RVSiL1&_D*Xri60N)sP%w<J=lAP#5qhBY`tOHXqPu+
z`)S8_S;oP4IJ6It_$Q<F)f=$$s@Ddx|G(Foa<XAV9UUKi_~Vx>?L4^ZzMm@DAIh_5
zCZE9HOSDRL;h7g2@l|l)CY$XfU$Xw*w->PV@UAFrSllBpyaE0)V`@b5DJKq!cEQ&}
zwlr$OjN7={Kf>o^_w6S68P_lKe}zvce7mgzKVmX&8iEt7SJ%{Frp=WcV{muaql^1t
z{_*gd30UJyQ@0Xq;5NZD4>zCi(2;>1^PiS3!k*^W9>~Eb%6K>agQeM|c*S8it+D%*
zBd8Y^(Fv7=WqJ%(>EW$U#^(3H2kY50H^DMP>lXXq5B-<tw!v0%cUlGDVZMV&?C@j1
z5(!~g?d5|}KA0lya1JlA-Gyj=IBf9*%`W(SM9+W-Jd=NAVhgPQ#6&<6R@)qJxD7rU
zT<fzRHp$>>*aY)2`*0qBo4NN2GsDvkL#|qI+5;Iz3fR$2x9l)nFQe*41^;!f+-M9x
z+oWXrTL{m4v$h^R4qweg$p`GK9Fl1Zw`x8WnT9_Z?bC38?@rdm&BAP6x0BAoFY>ZH
zhvD-v|Mgvfxh!%%eTV%_O~rg+6-%GmZdmnJqDLU?wCowy2Y2*)amK>Jx!sGM<nI$%
zYUAPanO#;S|KD^7^DTJiR*ANEunPruSsH91EGE?scYTl9m<!LJx|;hMW-t^exCe72
z1k=8S^`0fKK7!NIJN+79!^?X!OW^&7-)WHi^DRu;_3#qY_9ri3F`DerM%Z;fYv3!m
zMKU6;8@8x1nXZKo;r(-;;4BA|%6iy&X7$r3T$mNTry9=XzV1H`&t^u)ko=8b*4lo-
zRRwkHPvCzJ(H9rssMWgWXYhH;i|jN%aD7w%bAK7kYrgu74xYX-K~V(@i4WUz!gpDj
zJd5GzT$c?z@b!DlpGx6VZwHPG!r$jaj}*b7x1E-S;X8N49zBG$b$azA;G5;zeD`41
zi`Fwz@HQXqtM}o$ybetz_@24N!d+N-x5<byJSk;vnFF_dYu>L7XP>;Naue?8!7H5M
zcZbepC&Nb+6go{{x0l}G5%4cFK{gB6{h{kv6l{3n&RKg{Zu=fTJ@^89W1u&zQ9?Ih
zK<us65d_EPM6vCKH-2bdjfRs<s>+06o3H8xp>UK)Kngp2R_?`QB+SQGCcPb=z94`5
z3TzwT$wmWTxRg5(21h<AE876?8Dx(Rgk_T5Q|1Nn{YdwG9|BLYK9l|hZ<84D_k*8X
z+{zn=BM)!dLGou9N7R49xw`{fJYg@Trm`Wp!8Y@p56mUNZuk{uxVDMo0<5|3lXN?*
za6!wO<X^OqYJUfRXnIU{4)z_HE~|t6ZMyX?!V>1jhBdIyH|6Eiu)^6*G7sTYQDc?!
z@FhOq_Ck2&Yvq^|EP2^fBL@ystG-V1+n)Z&%Yzq-%m&@y%a@c~BjDse8mIl?@;eRf
zQLvuYa5Xu8_b*wN`@u>KjqBw2mF5kw1;SY?Crxg^Y;SX-ykHJ9qxnRbf3xtU5A67E
zPA47Sv^HYn2J;1f9?Ky4=4a~N;iH#>RPy1=TLffWVD0Npg9UJCXkLmdY{o(>QwlrL
zTG5??Z}?1fm&55QHtlEOgg=sjui(2u3>uDbNB36V*RZBI3*BkBTh6lS6MTGcg`XYF
z6|Ho-A3kYXr|tv`wq9YHfc+S(%B*3R6uXisc&^yV&jAjr$}?YwfA3r#w}e}lLzgK=
zv7V<+Q)UbQU3s0g1+H{W6flSJA`i`NFcodi_z5^Bd2CD&el#UyZ3@3@dUbs_>_oL+
zfc$%kk@PbA;n%t4Nyf0d`1fulSfp2Z=@?x2Hhhm3T%}chRu86cwSKD&M^iLQlKgA_
zIqt{dC&IEhN8rzMzFRF}-r~BABwt`7_h|>%;jXanK{)y26rB@%N42>B5ZvjOVC@P|
z#(32!zz5dFvfN=CndO~Iu$D^KZ$EfTOYw$%@VR+Mg)4A@kK}1FSh1J>dL+!kKjb(j
zfc32{_DXl*i8DIQ6R?*HOWb{Uz^kF)3;d<nxbq==S>HjsA6DSL8<Yq45BBYDg$K8^
zzbu5+)`MTYfv1Z&&u7DX*#G1|gS$=km*m4H0r^^0a4u)Cbtb&ucKAs#oL)e;o(0=1
zB^y72$EppAZo$2;Ivei6mS|2(hgGlZ{LO;pVyyC_VIJei^S5EA{k__;uu0HihE#Y-
zm+My;+#z}`ARf-$cJn6L-?=zLj##+fqf3n(k8OJru7$&+mO8^Bu*zkT#$Y&v?Uf=q
zo*!5)%KE{6Yf_&*;ZAC;P9J#r#D&OnFjvSmO*i<W{ii(_;MpSdcfrvNtRGJivlJSg
zg2P39e9pjW7bB(|VR`;yetWon%0fdA)=8|VA@L768efmVMz<Er>|m1{5r&%ZlXFK*
z9bxeRuSqr7wl0vu3hvvm{$3J3-M>wX<QvG&pA(07T4~Ra@%8p#fB_#Ix96RdHOa5`
zo8W=%dX@){!EC1fCF}gCr)c=-XbXEwMC$*APoG?8B7fgv_)Me_)>>d+^?;?CqGKPx
zVYgQe0$>^zp~i6dv(va|6wGyEOehMbr|Eiq1Ku;fh0YHS_*+h&0{1I@a0!5EH8X9<
z`M+~)P22`%I;${T0N=e<o?r*B#0trk!e+x2R2FbW)P|mNcuMr#DJwWa_SfE8__@KE
z9uv4SvhD42c)XZL(F{IUUCa9#?n>WQqz^MWC%<TcV_Dy9GJ*^F!nb~a!{1Z~9fs=!
zPCV&`lfL%eGlZ}05-FL21yo<MkvP?}e@3&gt?y4&66bjJPLKX4>Lr3-73;t&)7evu
z@Xs%cpA29(+Vf+Auwwk{!z5nbq!GOv-os4oPU5K(3=!&ZkxR?)Ay`{wP*@9Q*haHt
z3A1fbZVrcUHkX_s`_~h&{d5#8*Ssr%#NEd`9kb!T2ZMJyz?(Q1>NDYg_aD2v!Cz0B
zKkI<gPwt@fg+Fs&<aiG^yzbw78J_#IecLG95oh#_oWHq*-Jbu!YBX|JqTwa|A6yIY
zfj5tt65)u^Ilo`<ZT<W1Nigf7_O=yxb$J)%9r*R%kD^QPas{7LCd_xgG?-!x|G%qV
z`tN)2nt%D=8sau;na2xYUiVlT8pN;Q%~8d$fMayx2Kdbw|B*77CeQH)Bdltc)%y$<
zE3?w3hpi6OWj=?0$kR@7!a3Qh;>~c#!R4duaIo#Mgg3BpWZPXnn5FpR&JLKNta_aX
z&d-^-`T<T-k2Mj3g9bdd_QTFm-lhC-7j2@?7x=#8p^f|CQBgLU|KRx7d!6>c6md#t
zf52f=OI4DvLB@-vDLB;a6Pq|JCO39s7T!Ia=OPami@Qzyfe!><Zjphl)-nuM;Aj=y
z9m+7>u;5opd><b#^9Cxy$64d^XyA?BWdgeJ!&y#QCiseENT?2McFZi51rD4(++zs0
zaSsb~z*MhU<@8CsVplX5oY&DCWd@I(e$2@ai#BJBn!o}Q%0t5NrhcLLld#^GcWz|9
z`27CADSMcnfvbzmCoFyW8fRh6><5nf;gNCsEN6If<9d@4T%x{f{sJr=dBcp%PhoC7
zCa!P?|Ieof;USjfd@q<QF5obk-^#7EH+sOO_Pq}b;H)E5mj3YH3fBY2;qzsWs(j(R
z8EL8$aCMA;T@-vutu=wnm&NmM>cZjReAxvjnD$%9mN-~$s4a}lxAV^Y7q7!smz95B
zfV=PZHQt2RvU_~Vd|j&H&7S~E`09SX1T!{^_}qqT!$w@ld_Npk-<<+eCfL3Yg=<W`
z_uPdqMy=RH!<Qv#Bk#cPS})bd!0(Sf>(7JPA8j{If`bnpQp|zlcHe%I0_!|jj46Uk
zf5{)rghyUpp12Q(2kJ8B!uR4nCq9K2G$zxE;G?-Va~1Fj<G}TYuqGP$p2N2&_~M?x
zZ3iNAYhY2GCv%ms__WlYMp$ylJmfi?u3ThR56|2D`tK!tQt4P>3;c8_#f$tNm)&co
zeGQi+%lE#8KTn@O(GE*ceL4LBX7K&;>>cbd9o*UtCo_g_{s^ZY+<k)l{@*Q`IQIe8
zC=22rhO7Fdw|<8+srHopgo}bw+=t+cqOpEcFfB_T#~eK8bAWyU9xRjhorZ57pLhKO
zZ}|K1?IQd%I`{87Tv#K%cODKK-1TY$u1`MepY5O?NB#KbkH;8ct4+1yRPZJ~M{XAQ
zA?>e^tgy8X=L2?l`IV|H3tS){(ZdS|Ez?Tug(J@%bQXr=QuSkn;dj|zw`sww8ze79
z!`cO_VF%!|ZGSjpVcpE4FXVcxc*2nR1^kh-Tu&1gzQ<Ks533HQe>n;lZa4V%4IY|J
z)+5(vLZO`5Be2kP!X*;lqgj`}4m;-u|0JImuN9?2If3=K4-wl)+<c43elD0o$|a1%
z%kIzj@xbq9J@gL4p#cmbVsIsmL9IIcII4?Z67JWq4AX{tRmNJ>;Q=Pmc@?;)zT})1
zY}KS#OSbovMKh}@?0ke;l<c4Mv6v^v;fDr{H%R_9D|R|NI5Dl`pBzl}xWCW=7F+)M
znp{72$j%vg!2ed$6=Yzxe`UYCU<0$<bdn!`S@lp5Jjr*0Q5+7;UK_mvM+>`jNy8Z&
z+v9J*OZPdo_QCpPA0%(W+Ge}%lk3m<Lff!(*fq12jhvq&cQ}PJVMfOf{(E2t?tH&|
zc+|spd?#$`Y|C8;Z!rij6M`$g_%=L)Q@8W;lk<HhQ{1T*<`vr;LGr7TYpPzshihLh
zaKQhH-7H_j?BmUr+;F4#+QW8uNZqn!E1Z}8*x&;^8)hrU1`pg<&gq9uawqOE!N)u&
zv<BepwHb;nFcqbL>Ij_j-S;9rOe-X;_!H(c4d`ZsC6p>+W=THfx)wEDUui4;8@7w0
zD4>B)9-9tXh0m-7vH!#P580C}unt?KT?wE>JWWr?mu3>r7kd7TFC(tv-@-u;Q$;Ts
z{Dr%PtX#Lio8rzrpNH2TtZv>08=IfwC*LoY!59Y~xQo9pVFrF)w{HU<e1NKVVGcfe
zsqXl0SS(rn)Hv)@Y`L@-u8dY~nS{gUCXPzOJRBPe24JzH-0=$VW!5#uA^4MY@i#Si
z!%*3H2P{z5DWnaH4Hg)5!RORY`{~0?lZIliVD<k3Yfa#SS&f8dScrWa%L!Olwcm~0
z54aEW9J7bJ554Ik_Y1$DRpg(6y}FId$o!aFSUPqdP98qMM(z*lck8M6z@o*K^BM3<
z<paS1@Q0UoEVAGL`%hh0;p6Y=6cXTPY0ucM!597;PrC^-I+?p9z#pX!`-Q=tjiQfI
zU}HVufe6@M`W?kxIH}L8#uxrlnWU8m+b<dL`NPhwa;XpD&F&9ePr|cVM*^O}H$pFW
zkn4RRzp3}NaIgA<$K>~Ix+ZB$0~~(bpVbn6rl@r4EnLKrXGeZNokV$#e1JQ4x;B#E
z&yVL{-RXxl9R044-|L6w^}9ykZATTp?}6X?pZA`E89r>k%K$fAmR|V-8>F{TZH6yj
z{iaVbh3&7W@h8_mjdm}OZ-+f1&au6R|GLm_*bFZ{`PNCUzpj|DN3z2@Kg}*Yf}IR4
zWtidcoGn@8`m^6|%X4wKvFm{{xqjYjr|lvPN4zinBLy>jvYL{FA78Lal7L;_T)Vvo
zeixZA!~qMAJq{r8=`igeHaKCtZ#Rkm^7d%?w+q*UHGT9X&eb91yawmJqo~{s?+wb*
znud@3RR1Fi>+zo%nt(fZpUM@4GmZER|AQZ0Sl1%?_r)hChGCYKowK~K;^922ewf;(
z;>Ipm*v{wACs;$aN0}2|IVs`X0h^Ye8sLUsm(y%`4}126UE2ze<i2!ohO^z7McCl$
zq8UuD;M^h6p8p>|T8p4scsjMrhXrw;7DcXVxYy)8KOMaP#zIsXd`Q@^kpYg1{vuQY
zbBdjHqk{94ZzmPNMLZ+S8{r1GaH)Lwg4<fnUz|^s&01NRuwa0f^*>n9Pgdm){E72A
z9Xa1LRKFi2!4(>71<P<*{@CF}*j|*?Y!0U6F06`%PhGsS@EZ>Pn==;<+v?oY{|=j7
zaJIh;cVF8yO~x1BgR^S^u!zr&v;p`Wow%zP+|_+WX$T$*lBf58cW;jW@d++#UiEc>
zDWWDL$awwgMZf(FY_(}cnvCbYh3!}E;WN1=UET1Rj6ZcJ;Gsun_q~Em+UrG4VQ;P4
z)@Imp`<E7D_)bfc?{m0I`u=`h_*}qNj(XU)wE3eBoUPCO>M0yvop?|ke#q_QR0B7-
zR}HJc3yLl*<#3X$;R|ut<M6Z*$-gWgXe|nhB+vaVh7D(RS_R?skD?i6aI1*_8GiV}
z1@R+Auy)6xPh9Y>R;MxYeK*j$?8O0dlsF}m`5@-%&`V1A(VHo661P1jVEb<;uJ50Z
z?IQ7zivdMHVYNtoDiRmWXwmrrZ;R7@oC~uknhZUKEu*q7knPpDJEvI#FH09Ukp1!4
zj@A-*xI0gi9G@`@GyA)6j9pdAd${I|(ZeV>$LP9G51g3(mFYTMpON+UE4-_LZ!!Q5
zO7md&4^CJtG`I|3i@9by3ESCy+2;nkJTS;4<Hao5G0q*f)ja)+jHl(Gg}-OvWo_+5
zG9KT(_P29|4V-L$P-DCXQ6?$dz;BOj5hmliPH+2NJD7%D)Sne@&Pd;E0e_>S<RbIW
z?$FE+*6?O3g$5y*CW=SH3@&tJa3u4Az^=?(bNFVaP$iiUG^W{DjbPW~i)J#g=>@J&
zrtrccv2`t2WHwq`ACB<+n{fy}{@)D-6S(M*%pr651K08;UHH!^#ScrE<0_@9AzYcE
z5a$B#z2NXr2d*vOAbuW}e|bgT80L++a5)Z6RO-w-0?!*C;7x!(n|Qw?+tZd8#Z?5)
zU#L+c@gILps~^G{1!o;e{F*~nWfN@VoY!#}9zE)M{0&U;;dL_E-h$5=>%H)It(6Uj
z;HOGwGC#x30y|sC_G&!3eP|MXdqh`33#JKi{4os=W_bK1+k2wtX52q`#y81D9q!~k
zAx<@o^<?!I658<c@t7V~SnGXnh6>EP&BSLrT*p9jQWM@Gag|pXF4tr4RDx&ib)N5m
zZPpH@sKK4Kmz))0(cgyD`(eF}2WXUGDJNc061VogN@WKBx5AyK0CPXq&M}8s9Pm1N
zm?}Ky*CjY9JUmemPCI`pF#ukFbfKDT?}}PMToTOgX|jjJKUTYlr@~ov+D0UP{q6&i
z5?D-t_c{6el85KtmchN#eh&`98O2=}zQDKNt8<e5(~nMN8iZ>p8fnP+Q1PEHqnp9~
zqtzuZvOU-Mt4$c;xo6*Ak@Ih}VaHJw_@CcZX>xv6Q%1(s;3yTFon(CJd5XoKh1-25
zWA)(t?myzL@QbT@mB-+1T73J$VSnom0TO>JKlU~f9*j}aBXQ=ZOs})xY3lN4M`1zL
zUguo+yT$HrWPIv>Saqz01uiBTlKAuSS5z<Hrcu^QB;J?sWBn7nEz@g+jEBd{#hLwZ
zsN&jY5`Vk+KJ7PL6L&0t#3^M{l@?+8L^=(!e?kQhzR}F$`+58LV=`XWEj>c%;nXcm
zUSxZ3ltzef!E&v~hRN|{>OK0F2cG{qMNi`ChG(1Q;C&i<d`aA!PTYAv+&KGFnH=A>
z6?LW~@bU^*5jnmAd#E2Dh3)vhx{>jGb)D_FH5~Doc0d)*%<5gRg=@Upa>#g=wwlOr
zgKNJ{Gb_X67ayp2zzwsNAIbUO%=COD6pm%-&?Mu-_I6-+IP7pUjgI_#++6WuDe#EX
z18;eFBbQ#=EqIL8F_Vmkq;}_)QuuV}X+{$7a}YTD1a33kBTM27BFd-QU_nRzY&kf^
zaEZDD-eft|LbgX=l$ml2W~crlPvZLD-)2p~WxMV-kk60G8JXQQhx^szkrHJ5SJ3C&
zV1~D(o~a?*|8l5mND}rmQ~Lk--nrxzECX+NCN)hyKRo^No`Z16o>eQdeZISu-W-A@
zDgV@w@y;Z##$yO)%GHQS!F3!<HO6r2uF6;$Sh{$P*$QU8HQB`j@1og0;{f-Ku3Y4T
z53p@Yw}c-n?ylMZKi|6UN8%SJ)lDhkaM?K_5|5VIq5qB#-%r7r&~xzn`KjXfuwwUy
zPoD6$8HH;v;5G(2Hb2;~n0m4v-ek|~5(2-m$+f74ji%G-!{C3CZZ);AYipTJ3~ZW5
zx2FPDD-m0ZgRe$+MOVQ}+qI2T;pVR8lLc_&E2$fI;MY%IHW$IR?YjTv!O<$cchlkE
z3=x4MSZ`N4RVG}mukBj~hYja`j)PAtaa2~pi;a$|3Gjg%vJ5Zbv=`Rwp|ExO%HbyX
zK^D7z7~Gb^k<kV}F^u~W2+J`0DtEw1T8EEZfuj?XZ}h?@RnIDXVLOL8iO+E9gjfK{
z|2r(+I|27Hr;d8T>w?#Or(rWAV_lMegukG55#Fg-QRxO()%<f=hV5f6aC*Q$)%jjf
z{=)T!Vq3Ti{9Mw@mKy#fs(zH@@2n`N*$#(Ar&OJW**R(R*<sN+#voU?FyxTI9+=^u
z<(L!PXnAW&1kUW;rbqIbk3Q9qfvFzYJhg+P{b+~fV4YNUZb!K3*KRpgc(3@0NGmwq
z*Q;9{<`vsEZcXBslJ^{e1ENfho52gm245eA+0q!EnZug~D0oca(PvshM(}N>!!^g@
zy<b-%P2fyE7iK&7OoRBmE*yOS@nZ*AZ~4FD`mmpRCzT64pS`tF8!qDAn&S$4OuP{~
z3@53{FM7dOEPf@Z!(3k8$-eL#1sijcPcK=k5(T^HW=P1xrO#vnW8vIZ!^Hitmxo11
zGF-wD;<6X6=WJw3hrgyuwC#fxE{!?n!u&HDih{7CDi>8g+z~vJE)2H|Y8-zI@3dtZ
zVuq6hUdmL$RDG42tnit(vB>A}_K!7O8(@hxvF1j&O5ZkUBV5j7$@LCCA80kU#*5$Y
zc%NtQVQ<>MM=1~wan9NN33gcdRkeip28p_deXxPGd=SZ(wb*Vp4i~KpjxE4RN#gU9
z@bxa2$1AX2PQ;xx_>hn>*Kat+B=Z2pZ!%xZ2a^1Vl(+G8aM2RW7V_`Ky(yjD2%A1V
z*+YrX|8b1wHXHmlD9nW({uw&DycHG}lWk*!Ro*fi@WA_r%pA7DlUpYrbHdTB46nAs
zt@l|s@Wb~<^e4&jn=hz)Me-%Lcu|q#&uG(n$__S~Q@S7t`#h%D=m_gv&rMN)Gs5gB
z1K`Mwc2p$(_H<HK5ZuzxDMI2E$L8*&z#Bh>q)5O;Z-kU@!?7#JmZf0BCkJn2!{Hy+
zokU=_D?So=us>bLYf)JEck<PTuyCHYj1cUyt%<)F4xQ9a*$peQjQCW+!$*Hm?u4@<
zx3E>infVn?{BS6vv`YhQ+B9~6?0?_akb>9n#T^xyWdHN%^8U8N4POp3Fu@5<uhT!k
zGCEt&v%nr~<1_tmwUGEha=c%a?G_(`-D2nS$#{um&<p(u`{Yqvp2zu#Yz%xk1zXcM
z4lTk`^*P%X;igxbdNc4~d}a9(Jb8e+cn;3lK0r%3kM*nS%Ut8|ai!_}4Y0;RwV+8@
z{_yryMiS57Z8`vtdW$P=fsOY3S2+kj-fJGq39CP^i|v40Jx{js!o?asvmaoewphO1
zuutum6Rq$ar}*c4VH%U9=WVd_p=wrXc;=ter~7avXS|pieAk3osR%Axc^;wzGtZZ^
zq{D~(lV9k;m$a-rGvHm6ueX|!zt_tDnhbw0dsJo)vyCe7l)xvXpBR<H37wlutKiLw
z^`#|ns^M%*JKV9!Xm!H^`b);X?fL|p?J}^Yg!ex6)cp!i(pFh;!2vGk2S?!1l}FFm
z;nAhHH_7o;@r$5AMXUOLuHHTC@TM;J(}u9<rzZpCd_MXt^yC`c$D4SV7CwAT^H>b5
zw>{0B#H(1M4e!C;OwBZGu%4PrNe=A$-h_|LH%lWl#v|}%{p2TPe80BtFZ~8@tk=v_
zhGU8aj&EAT^>kRG;z3yF%~T~l{H=1w$)oVZ8Rl|+So5aW5}8kf>^^MW39}sg_MFVW
z8adx<B;iqM6;m?57bIozh{OAzKjR|52c-uey;6n4vN=l5!QZ5vgp}dHrCgtj@LnU=
zHa%E=kY>{*c!$ysab0+kGW!GheM^3|v&RbNnxs7w25S|y%3Hv?ade5-VKJ2!X?Hj!
z!DshP*oWf$%?q&6;XhCAz+OBy-{awUe>dGcc<<dMtynncm*$p2_~Z2WL<ZcF^eP}5
zb}TTyo&`%aX{HXsD>I{8{Qls2&U%a3D4Z<h<lzHL?q#{U0H6EVdA0z)&ojfZ21~|j
zy}bv&JP^l7kL#P?zst|J!yCQ*vsvIjM|s}AgWLaWdB+aZzp7~&fom1&9QokZB_5IQ
z@DD!=5kYv1_ovR^uyu#w%YATPp0xBFoISi8DG3+E{_LY%!u7?0g&pL2?c7rprGJQX
z^E@6Q*N+vOXNH*(Px5;dK(3$NWK=ab!@hgHwaE4JzJ>9z9k5IEr9N`M*tK0&mm7Xk
z;iy9HA71*>WeUJc8%}pw!KI~o>pNis%ERg8{yNil?w%A(b<9ZWH0<_Jf<^-75YkCL
z3%jyVSSi3PPDcC4{d|zEVzn$RR;>Hm8xGjh<Dd;k&zWBff^FUD8#LitE+?k0z}BBW
zZa+%$)6QOvgaZ|+eGbF6GC@aUU<caUJ1k*+=lJ29@DZo_pyRNA#9i$aSo+<yPFpx7
zzwC1ctf%=%${Lo48_dmtm$xeQxx%+g7Zr=(_Aqlr7dY~)G*vMi-!M4j4=di#zf}qI
zi2qT)1dqIM|N9gk(tnl|43~AqCccDIKD5pU!EycHteW8At$KIj;9GN4bMIi)n-+hs
z!@F9XpLN0k>fO0_V5jfVhJCPab^nGm`1$oU_OI~WF5?G9utK5G;}KZ)unA)UtYdtN
z^(UP6k<qRMu0Ii1FaztJq<!%Sj*dO~aS@gm6RU29txIp7TZczdc5%Ie({6>|+KBZc
zfqK>L18~#FTJg>BOBzw{ez<3O?@KmVaBQ}56;5zIcbpeynEWWP44=D1`*SyZ@lT8g
z*D}WYwquti;LxhGAJ}1SO<5gTSTX2@-yXPf`0Bs`I7cC+PYBi<_RJ^iWk1i12Ft@e
zS6?e1hO>7(9g=}F&6+pr!_L*zQFx@TuDZJ84q2Z&d$xU41CD>1OJNRQeCl~X7hco-
zn_>%F1uLfOz>J3@SIK(ce_UUt4PlknLkVO(uxj;=fj+#6+I^9%7q$$m<e0$}7h7Y<
zdg9g3%aq69gh~53vfjwD`L@{!SW~+;G7x^mXH;PUUmpE!6avp)jkZ1u3uzr2je=`#
z9H@1MKc87RdL4FY>|u6;WlGJyk@Zm4u~0WxxQ=b@P%<ogny1kVesR=xfUKuJyVuC?
z0q=hKEI%7&$o<t43NtP7suaQxKi}LN3|~>ZM)MfvJNUfg27Ji>*PRNu*T+&a4*s5W
z&bb<P)xGj56OQ`O`?nsJ@ZF|x2X=pH-%Qq%KUT<neF#rce6S|#%~@YwsT9FS8qNrJ
z!FmzH|5d{&8^6}}!`tt>9DE9k)D-U;fX)6croM##jte~{>)*q20e|XXdWxQqF<5Fi
zKJz`CD{aIv2S3`zwB8B}C5i{(6|OIzxuh6(!wRK^TUX&fmCU7`unw2!09lWJeUiuG
z8_cHs%aa!C_5T&dR}I3CwFi3X;e3j1j6dPAV>WJE-~hW&ml0TZi@G9N-!Ir4xn&Vn
z;D6P=1GaFUx%eA?S6*?OAJ)7w!%n?|^_kZyk|J<pr?D?3Y#^q(A`V-d>GQI}aawP0
z$iw;Bg+a{lOi-WI0eCb%OK>OLk#crU6Q23Fcy$NdZ~Zu24`!0=>r{pR<sIfRg_osv
zODV$_=ZlzK;gX>O&v-cc-P|Q7SazH9wnW(blk4dy`1#$|KTN9_k4C2J@$jMawd0%M
z8(fQTNc~Ioi`F$B_(ICC9jSjwdGg1a3;r#iD3T2uYSnMp2gg=~)RTG_Z>dqoJ@DL#
zAz@NKHL`T1QWAdB+)+pBT^#<oY!`<=yhw|xg6-l&YgJ(#v3R~0Fn62|w=&ESyb@Lq
z=a}VRI0$F-&2YEC56;)NX}~AX+lREmlEIw2bm7hA$2q#-uo97A9e8i#!SA2o8y|;+
zEnts!RsTVl^WQ|c8QjiXJ2(vA+M?ZO0}CFk@)?6q9Xq=J1f1HW_+<j_Ey=ll5}qBA
z^ZX5uGvtlq4fN`_lXX;=;Ibxz1a~;(sm{lL@Gyt&>;?G6j~*o|JfD*F$<XqJvll*f
z(!=+LZ{~Qxbf;VuHo;%6jVuJhU+pfu-wH=<{$%P8-<!z2P3m15ZG2Xv;l-bYk~`sm
zeg~^4*h6o6RS*tK`b%*eR@Pfe6ooYzzS*U~@sUSurQprtmuT+8ZPzRpNPSE59rIIp
zFn31HOBGm0WQ?%_Zpv;m*M^r88eGa?iC9$uU3k|u!!3>Q!6egaW4K|A|KdydiT&1{
zrZE4h(~WQ7)MFx5q@Lx+fE<4_OqKQ|)E-vqu71-4YsI&7o`DCoukP-KkI<)Iae>=j
zHu`^o^~WpOJm7fU$i6<9F~;f}sb?8eqYfU2?cMzSF2lhM^<PKf*JGmES7GB_O5sbe
zYrD~xXt?6e-1h}Ilb^MK)I&}=or<RUi{}>%N@}SvXCK?x26$iW!bMWA;@437jR#(h
z6{O3DSy)bMaKZdzwB1GUuge{yBCyP)(z!BNsmbfm9{5DS-VE~m)_o77x(2M5dQ!F?
zW;k4ssS3-jo}nPmf9-8(wGCk#&ikotaJqM9t{!}ozhtc)9{kt3XbK+{ok{uxGfCQ-
znZPQ(Yb$;51a)+Q6@0~2C6Uylu<EnZTEJ4vMoZt}FjoyLdw8)gA)eH;X1r^8Y6H6#
z6fKbYlwA2=jLvYe*JKQ-PkHdz+vOxY8^-Ya53G9fPTe{9fwF!yc|O1YHy6)Y_*vY=
zS@L||?3bFGJN#4XNhEpxe<1By+XeVd)0Zjo{D0{Cmz}<_qv@`2QeRM-Ykb8E<`yxW
z*baYI@ca-+oR<{315RQ7F6j?Hs(JmB4_2L~3JZmqcQFO;hKC2vf4c%-^*{7uFHA!l
zBNqj$wZ;ZX!7)s~Zid4t&aK}`y~e&!rqNiqC}(Q`ssBjKcGJENk6t-GOzJ-h?4obo
zg!S&<y+rCs=2Ctv-hh3YN5AU80eAl$xeW{SN%<JU+0(}hQsA=Y_nM?0+HXC~;6AMR
znWz5*{7<{*VIEvs=&nxctM&9J{yl^*7ry*N>c8(lRIn|AYZrX-NWJ)<XExL|u>GHw
z10HbxmORI&u%h?A98!;-#a>bI5@vC{qDbo11tJ%>K8N);8`6Zp^$FXm-@~)3`594g
z__86#J6J0;+$9#yaXtI|3;e)im@*m8f0xPA4=Z-Re}5a6FDP#qhfg+(J7>e^D8BFf
z3A3Jjc)I|W4PW7;T*LR}{8p(Fn7Wex(mLXz1N`ex;2rW}yv&GS9E(k^g*Vw525y3j
zWgj}$!=5^3{5#-$P41O9aL^g|U@o{;6)!k}4T3%VWMJk~7EPbvX1~Z!lJLbBw-Ud=
zXK1blX%LUHiu?zU{z>?(3a{>P{PPnoo{S1HgtK*q;$~r~o`gX?*xO3gdI4sW2@AJ@
zUxdH>{TGhg7Wv%@{^uoDPl^7BYkgkV&cQ#j%Pr{P*)sRhGjQd331KGq_n=j*A1r(4
zSsm%OP%AZ_@PR819=y&4s~nO~h=kvGec<PZ&oJ+v34?i8&drkk4XaJG$;t5Zee03p
z@QJp$Ux_e7T)vqMEFs-?D;JilSDsRWsU}Jnv*0v}`D!(|v?}UODXc3OXQBh^o;khp
z7<T0qm^OkFF3}(AfH^{6hg-n5!-KhP@MML@^^5R-H7|#Du4DbbQ%2wtJhLN8l@}JK
zG_be=bMF;UP=MEE*=8f)e#h@gvT*v7{m-w%mOs*zwBh+N>f@yUC7s>umL~iyl&6mL
zzbN*KPw2vfIb)_7aOckd4j+a;U#6)g{WSLbYSWEi?`z%1NWYEIb=PHmIJ97~x)5$1
z)YLl;Kg(z`A^kke=F^48;QoJ;&&px<g@(T;;M~Dl;~JPT?5vd~{55RsX&r3hs{F_S
zmNTq2YJwG5zcSdtDAK7S{Y_2>i)~KB7bfcrNx#%BO1&B<_?eqHFX^wkbaLF@8=e)S
zuKWx$a)dnhfYqa}h7G~u!(2{R;WuhFJU?NM*a!8&u!(N&)p7XLMW1cgVB^Uk?q6_%
z43$R&yj`g!bRK?e-})*J4r|Wi`U~?MFyW7ZBg_{<)?vmnPVXex_I)QO4f@fla??K~
zz_~fQL+IcOP7Xq8@bHF>oGh@#`LCg=@Of_gU{?5(Z_dZNFx_cY4lZ~#l}jcAmOMf^
zO8V)vi!ys3!7It%FOz<|ta=vt2XL1C(I2E=&$*=|svNFM6~9dS`Bwg@{3wC7hZyup
z|KBs}>g)AzD95k=lwn_yU1QJTAL;|;8t|^nTXF5MhX0$RN8pV$%M<V5+|ULt(hnM+
z?3yqDv)7fDk$%be!q?ON@SS_rAy)9@xLnc%%s>2y(-GdV7(MqBHtaMtBK@`RZxoDC
z{=@pBpyAJp@Sw-yp?`>*?DntnhQ-aSCYcfM2)JYz1Z#@t9N7#%xM>m*1{*7tXb8hB
z6c)TOu-f=+rT}a=V_-)5o1OI+Q<ULHo+qZ#V8L#Qc|~}<M=&N2-n7uIdIDyQJ|OrI
zJ|#_a#{#~|Cfis6|2m)X!w*heGCffTH#;<I`ND#tkJW#`t>XGGsVVf-+Z!wjzQWgS
z6;9H^{Kqs{hT+ue&I)GuM%V3vpKyxH57y0aM4f5LJiOTaxmX?!YMEr8f)74@XQBuv
zpZRuW1`droc~1kb_tfY315X6HQ>npCr?r2s5(}l@H-trw?c!uazj=Z1eFt4w`-O1G
zW_U;6{wF4IX5v|0L70MVUn_}Qx%-z1!!n&ucN~N3f0YHOz!&d?%N~W<4z_<+gAMGN
zBT4+_KKVc$*zeB5cO%%p-u%BKa8Y59yd^x5_#)64zV_Gl=5g4%P^rQK{-rz{?FPR{
zEY!D$n@_zRb%hx=^;bB;{k{51-tcwCGdoVer#rj`d|?~SH8T>=qW;%?17>T#QfCF5
zB?(=+2|sK{HzC|KUGO#?{>UyFYX*P)`0jird{5kQ!5ltbZG?L`J@x(4{nkcs=aT!$
zLRj67vB?BBJH1#@O5(hiMUTSbYuhZJz@83|ll0-*h1(Bm;dh_8|7yd(zf~B#fL-o(
zsaV2U5uM*CDe?F1uRJy3Q`vjp(Zfate?K3DZ+&>g%L*US(AFZym+i%?`fc#lo`47B
z_&WL@*|r0|7xsd6KfLd`O%)&fo=)t$GJLn}w6!E$Vs%DW4(7Sw|4$mGbMEC*f<<)0
z^0eSTnz`i~@E3hIN)1>_hChtFpP)b9E8iG)+cL*v04H6u++YanjL3(R<59k+-^?7g
zdql%a&ey>H>M~PUuGu((9Pj<R6gS$yf|vOD$oc5d+2&{kuQ!J-d%zk7Ub#uI?TmAx
zKkWHNiy{%`&1+c+gpbwLn54nlm5=}bzJ_o55yh$Sz7n>-<b4iP*Z)#x!P_4GO(O4m
z_$b|An*j?>oLwXDgJ7zbFTDqsM9E2H!A|F%xR87&!3U{1uqwB3T>-q_bVITTE*ARA
znGgS$&v^SGT*PbO`WU_!-}ANx-k4e<R0vnxnssf0cc(hIy@fpn{&m&C)%BIEZE$CG
zlrniA#>FE3Qy*dV>crfqu(PN)T`wHfp65mKzXa$%`U&%U<bSS!UwUU6O~4aQy+JSF
z=h1p;o2c~gKK$1Is^C(UOciEW_<*)WGi(*gA*unJr3k!u4#!BGZ`Xp)q|Yyr?c3gb
zuh|-|4S8)x;%$s8XYJs`ft=eU&RZkta0wnYaG@Y^+uLE(0kG}VgU$vxfZ<r-by%PB
z+<vnEh4%OK;^2v3Qx6iaq3+kZ58vgZ>#K$@{N6WO2p?WtWhL=TCAME1{vXftBk^*D
zl8`3Y-h?uoZ2t}O!W}bkY)|S0`TV<2|Gu1qt5|vdkoS!YwoO`dZ_rbBp3Aanggfap
zDR|+yKW(WbeqrO8Kk~4tz0NxMyx+aGX^QZkKPL|Mz!U#!!~)?-_v)heun#j^=Vf?r
z`J{d?9Lf~Kl?8{~ResU|JAL|5mjl<_`x5>Uj!DdNEQhmY1Si{I>#pUEmGBOyc~g?F
zFniqMIo$fnXIDL3ah&3ABW(R!Gn#B~1+U#)E6HyTnkC22_F!?+d$^zBh$Y$I))c1E
z9#}B-@(c2Ql=Q9E(S2~U^nc4_d^n8yh5UjQ4>Q@5_}jnDf(!6klF0@#zLXr*FR)P~
z&VAu58DGC7<F;_Z+oCl-kmGG5GkJ0sT-sv3pS*8H!BT-%5H2tf$tL5C`$w{+C~VE+
zpqL6P@67%o563N~btJ)FEUHQ3aKyX2(qw*c-PD_M6qfr>D_sk&zN#~J3{F<!KP?My
zV?8Nh3EwenXqSgC%XWu2z-+Y%>AT^>1K(ad!w&Dos72t;A~P;Gc*<zHoeQ2nZ*K1e
zyV^(W-vMXhKNt>#7p`n}p@G@MD$>JXdauk6ba2oc(digiq**z08NX-IqMKzC;X_p|
zG=JgEJP{FTusxsUhe=o_&GOw{*lY7QCGz|DUbdUJ0G18sbM1u<TrSa;z~ScE-TiQ0
z$AaZkICi9d<10ACFhKJqypXPZp&1SjSxtHaYpbi@EhawV7}Nph^q13?!HPN~?Y*#C
za@ziMn8!lw=@5KwD{VG;|BBzPa)vQD$XCfV4u0Ob+h`gV{gu;w1C}^coU;hmpFF<N
zAD+=}ie87Q8mi6*!c-B412h};)UTZ}IeQ$w<#3f@8*G0mzmvSb!s#)q4G&x<c|~j^
zoMtv)p$PZM=r@t~8*t}p&`80?oB<0HxZX5kygIcXew1t)I|kc1d{2{vtM^>0`v6zy
z{|g~;Q(hah4*1N&6A~mo^NwpL>GyZ7-{2(&7xU9SeGVTyVzWyOZcN|tlU(0VrYq8s
z_&XQ2VA5|NAsSyH3X7D#)lGpJKW|zg+hg;s^&7dL7)-LezZb5$7xX9$R_t$`5Qn$P
zMQVq_CUxAmh2aEGc@|GN__oi$KA8RF;R14hGkUKvS^)mSv*6(Xk8x~n-vdXxGBeu2
z`3B~JJK=vBr!JbqclUeqlKd>$a5^)X{b^k*7ktC`%XxkHR#ngW9q<kbN}8i^NAM2r
z?Qpz;<vA^QAX%!89o}etb%O@nRp8^o46hk}Iim=>b%k$Yh3UE7rKI7N-3Hs1aX$Zu
zcBY8HS9Tw-T!sCW7$o+<$~h?~f5WQ^=aP297FD-5lJQ_1Qz*&{j|TLXO~F0S-&oVa
z`5CWoEx;}@tP9kz*Ey;~Bu;74_JZ8+`YaD$`vu>*!e{Xt?w{pU7>C2_Kk<|M=g#dv
z{b%6ahSD{|aEJVkJ)`h;?YN!&aIfE53mLCA+(yP9;r3@I1^ZxQwvx&=c>gbz=Fjky
zExTbWEVaeWvkNZLzVxIKR<k>}y$7yKI5zSemP^lZYl35fp6XV?#b4dGknhuKu;_QP
zeo(TS`TPZ(Ws!LJ5&X&YtbGGqnZr0-1b5aXZLWspojnfa!Z{*V#kKJ4;_TNfIQjEc
z>nHHBe2ar*J%iQ$;CdzeAn41N6qx#i>x0Me0*AI{JS@GiTfY<@m4DwK0}Ch_tdRL3
z?I1NH>GwY|;XFv@hsU39<$A(YO4njYJT~K1mo@C|7U)jman-^HNI$-Mh|Mc9f839{
z-a-14*lslIHp0>8zblY_ri_>e8Le>d(EHP(@Xjf-P;$K9=JU0aej%kNDj&)5eE8T|
zmaK2F+c)`qh25em)5-eQ_0mTzKj4f31!pe!{doDNNw}i)Y8ww+{UgI}9;W46Ox+AC
zE2QR-@#Zw8@{bwL8VFsW#CWWjYZqU}`dwAaU>`kPo5hl{3g1_HFG|L1+jo0=((lqE
znD0i$_iRkY>uFe3J*9yU-t_Zp!XSKF!(pQkEPtJSnXES|(;l-R-+z<!BaNhg&X8|Q
zx-|UeR7C<=uatE8qpk&O?`c{j>zUtZj(yXH_tLD|ko>-LhvW?4=8%nzZ{dTscYBOr
zIZq`KvL1R@|K?sxc=o<pd=uP|Jofek%sg0VL-J#PcV2Xb_m$^2G{F9)!mMs^-_qy3
zB!7~R`;;$C8POG22gk^qr}2ly25A>xz|NwMmZ9(op%tsAaAk7oN*GL$DArI7|K_-_
zA4~ERxOSJrGoOA>$HRxW=*LySDI;SVw_wi}+24;~wH2A~Y4Do0vsDSKpC}@q3)|Qv
zRgr#5ADPUxGI-0?3f^$|&|;cV4g6-r{HHg}-nf$Z68=u@ZAkhvZ6%jS-oP=vYELf0
zT#<s2t?)R5HMb|+aao|h3-(Oi6?_in+@}}N1OGI%G9dX+ZtLzEg-rw4%gOqBYK?ot
z7<`&imW$+Hm3H6$3(g*yxJ>$YrV5iQ=i#Z#v_DS4haV)<ufcQN)w;Iu{!3Lw|KN*n
zx=YFWJvH^yHCh^6pYVpVk$xU;;ZK<i@Yq0l5LxekqTD;j3cqX{JETYQ9XHEzz}F-G
zJtF<DwfroRJK<BYs=jLQfX)6EA@~)Y1Pgioz+@xivjcXFqfsUOKbk)bElFG@oa&PR
z{AT754T;xD?$6o=kH0*4m>*t?QdVSzzs&Dn;DnW*xKV9@Z=MiR;Dd+G2c}cN3(wg8
zV}n=wwo@$Q`OKLeG~pz_zkm1bMOdSGL23(3Bipbx4ewMN`mhz=8Q7OH3A;<bzrqMN
zzRr8~5%v!9bR=;Rsjz*$F!gv;1vgA<aBrUUWAoP@_(S%WwIuiic|Nth%S3lC9Q!Ej
z@D<qR(NcmIEN}8=I1m;!?@>JfAN#C!$Quq73L8{`RbEF8dcaeh_Azp>Wu$MxNw|#d
zahnp{-~C2|^uvFZi}aU<nb;~ANdMBtH;pw4aNkWEck(>&*3U^Mb-3|(+eh-e&?h^h
zSQA#y<IOdO7aaP`j=>=tBWQKu?s)e_Gx(09agP<;_b^KN2K;p(OX(OaI3qZa2wRMA
zq9gAs`1jELYA#%`!PJ%XOC5FEB$y8$;0Vexho`Pw-thwd`{XG#i3_~rcwP_Z8hM-}
z+iUw)b<11$)4hUr^7#eldP?8Hn<aQM4B?DXev1K^lV6weF#O-z)1^W3_srC1NPbqp
z;L)G(mKxD_<oW3Q50A-ln673-S{vRsb6f2<+{sIyssdjx78zQA#ii=k)L=DD6Pa~b
zUw_bHKU`!!)I~vy`OqWfjS}4NMYo$C);rTbF92UUc9(7oOy?4PLKt3BdV7KscFf5a
zV26zx-`wGapQM{abHWN{3p2uS!nmCY1AK4phomTc_A~9XP4KkX_Aps^T!Lz30nejF
zBb-kullWTB(Ixn4OzP8vuoPe1R`R@Cq~`SU5t#lz5r5Jjw!<||&jik5<NEp?e*SB1
z(iBdgsyO%q78jRNw}DUe-YxhFm(eE<*}=Z`O3cG>etVP584`Em^X!A^C<MD*-~_v8
zeV^egMi#q0;hWXBRJ!51kL9nu;cu^{@_L9%esW!g|MoM|wZmP}8a2VN?Mm*2PS||b
zhv^zD%sIYR2G@=~jlT(}oU%<N{b8@EuP9%Kc{5gQNj-x5KboK$u&<u)QYP%J{dR8@
ztV*-xWjrj_t?m*FkM4{UCiM;<+pg3l!|Ssg)1mOF+t^wf988sHO8US4+bUw53kz&A
zei{Vxm|D%<gF_@*c!S~0(DZ|kVbQtJ&`WSUd&_?%u)XlgPk%VAgJJ(O_}!#^$vL>8
z*ZR_P_!&nx+XYxyIjgl9_SzBR?+l+Pes!(|-gn~n5UB?_ltK5R6VAP_USJ6iIvoDj
z1224j%w!D<t;CuP!e^)WGe|$z?ZE#&jKN=rBQ}uwm5=LU!oT37-6l6~p}s~rXyp4o
zI{Y3h%7~Eqqhj@|Hw0h@&Za6~m{Q7+Sseby@x++aKcx<h)(F9m?nn$ChkNdLC`rPr
z@?w6Z|D$X_&FF5pS@FkNaab+Cms$??ieA_t3imQOmx{sz_YNd%hC5{KBotu31j~Jl
z@c6aS&*bxN+*3E3M}69?ghI7E9K+%=GY2ar)Hsv4?dT!S&u~xa$Uzc+)frIU3p?>S
z&xye*hi<5o`g&@r>I?hfx2;|MRj{?S95>lsiM(WLQa^W#nSPmkzDD7HnWR46#wYlm
z1iXLO$9=)D5|0DF5`3#(x;Y45bL)C91wUF-sU-D;g=z`os_;RxM@D8atHW9f*`Aw=
zPjgAVY?HW+@gdl4mx?N>r@gsezor5k$ZSsdgZjywi-}eG@H46WeWd=Fb!O(IHr(^c
z>flrOBz2dS70mvPX|Mub`6Wzi0=Gq~UbTWf3-f*5;c+G|UJLmA^+|!VaO^~$-q#(t
z-ZvRwyb1SZrIrrCHco|h=`i)H{E8r0d#nA~I(SvalPeg0ETmM|1Uo+Lme7LRwDlkN
z!^0<|leFQGS_!J}utAT1T`Ldfv-P;)P4t*=rz!Z~!>k`d<+j7iZ~Gn;!y{_1AM(N9
z(#=@P;MA4p6nkJ+{eQP_!rKK~eWl@DJr~!LVU6bIRwX#vdLq&n{$7-(sSSr@m`wV?
zUb1N^`mlP=|2Vquc&@%b4&Y^Ei)>j@k*Fluk(o%@A)6>8ky$E5va(7^MiN5VdrJ|@
z$X6sn_NJ_a-|PPVd_LZ9b?@h%bM86sbA0^Ey$Wl*nD5Yqo4YJnoME-Lg#)JW{NmqU
zGdNpC+R75%U@<vm2{Y`ID{_EuYL1cUz>BZE7M$U~mZ$CY;JQP%R6OC<ch!egVA}G`
zJ2&C1B9=%sSYa~v>wUO{uC(|l?D5JhI~4vpL9zEZOc8&1$79%%!R9AF9QoE=HV)4H
z@lN>w9H@Oe;w7xMr~5TG?5VOtG!^cf;iKk*e_o^U&xR*^m7Lh&h|&<A9JsDNteq2f
zaEWy*fmQ9_9A|=isF)baVPo^9SQhx;Szg<E_{S8F=`Q$`$?l{^c&*c>h7w*>=KkFV
z&zHOJ+X+7|jg0JsrSeJwN#Sadq>=CN;|ulU8+-9Q|Lnfk4^tbEYi+@WOFZ49a9tMl
zyA`;UHr#yzHmla!vktdBdC|B4JGN@wScLD8P}=>556_18{Dx^**~>QIu>6NIGqBx%
zcMZ4TD??3*bFi~}ROT*f)Q8NgcZ|a>fvf6NFirfX?Ib+=mhuH7y!B=F;}9IR$4QzQ
zrsNbkJOW32@C)aH70B7bf54r$284NGV{`q*0a&Aa;kF>$?!{fy2AA%9Qzin()ERPg
z!if`=bP_~-{>05@xZayNOA?M%cmCN5AD9x_R)ERIxn5PlvcJAatHP#7btr0Kx~-A$
zbMU#b#pYZ%fb@2gF3iWvf3yIuYkb0G3j158?y!eNkCiKWz_tk`wpU=%CqEwh!Ih~E
z!MgC2t&CG3{HC`2zy;Xj6*D^#x37Kpm<E2-XPEF9e!eH+7!@q$dQc+_rgHn1*uaVT
zcfauGSMV}ZI!Pm3W@fi98-Cd&^fn4MXzsdN4W~7XFg%6_!dYuR!nH}V5`OSLMTsY0
zU?%5<XLsNiEk2Xo@cXO6RSvLThEL4^e2S`v&k?TMsAU?59~@d%(T592QYPnMin#a;
zLztdtMt&7OAAiPC9X6%m^7;qYu1|f@fT!E+TgYfoKV=Gzl7V{~L&&IMUMs<6IrynW
z&&56PXmoLjC`>0c7sUosv|ZSH4Bpa~ALE4!|IsOMz)D9yR0zV(R4-HZ!ff<x49DPy
z%=C7&@Xt^h4GDO3cR~|AJj`T~AP*-W-w4^}!1^s-ty>9>;Ce8(6LH?p@xq$0RNK4r
ze-TgnN8NZ1p8OzH@DDaFwcKk6*E#!n%)&Zz68fg_v@U7yJS?Rbo?!zk?~#rlgq33q
zh8*Co(ekZf*zn~$iR*A`<xuTc*kbyMizgg>+hTt=oSf27e;Ym!>J<0|rYhjJ@Q1UE
zCnwtBFMqrXf?<WCmCQQWXlCEcBY5ljHTnkl+_&3`PvOZC=k`K4sfW|&1^hK)SiA&o
zaPs+_3R81-E~mqvy(o8O!n6fS#+fizk%LJ-{7_$DZ#>-mX)3w|j_ixLodBQ7)f%sX
z?LPbbd;<3$2)<tr4_l5ZJ%dMLr@uABIS;bQf?@xQrVQ;cJ0-J2C|u%JW7`8$tF|7x
z1=q>*C-lQwg-640!vZ@WE{?)2?&Ncxa92lR_yp`UZ?EG+<n!(wULc&ii|H!t`qYtg
z1#acA^K^nkAANP%g4-7VNSeX!yV=r7X)*quIUjEUm*w2upn*I8WB6wTtMny2rH2Kj
zuUeSET)QY|SmDLTgM6B>p}6#ZF1UA8BH$csO!3-#KOAx~LG=_IFaIg`5WEySm!SxM
zDnChn92Q-Sr;>)36jffHfIrI4ILX5A&g3u4!E0hNM?~O1!VRKI@amNZQAgmRKJj~J
z;Yo7ArGxN>q!iCNnEI@n!6EpTdxo0<9Q8hpl@pHKnUQG%Z~d9|;ezGHIJT|f6M;;!
zbTE}4t)v6o`^qqJH~f?OZm26<eAd}w2dtB6_uc~zFwCwef%S*Jv)zXOF%{nb&5r&b
zTyXwAJWM-3whZ6BBAglu8;3cm&%ydadlVnRC!^9b7hv|7;K#9W_eUO@Nm%!l%dt2(
z?VFLyG@ScvEZ`-4^?mb~U$ExiCcaeo&>+e2F<8m>v`02fea|&|0G1Wq$Cv}>XQnR?
z!X1*&?MmRcBn*bVu%MjR&T?2zQmw2HHt1L|sE5^6-*9xn6oM^_4RA@|z^!h$OHEbn
zGu);j*Z&3nKFc-S26M-{Dt5rC&z_#_f#n!JC4YhwBb_?G!|u~!_C$XDW$T;M@Xdez
zjUVA1Z4zvAuyts$Fp*#JH`j3m#(r059jsjFPq7Zy=3mtz@^^=O=Tgz3-ofxTuNrnQ
zR@b71w}*z9iTnpP?~|F~oMj%5GFW^dLXHid>eTJ2fM;1~qj=$)FG8dW;enz5MEK!b
zfmQLvuxzTXzc4&Twy^OIcB$jw7KPK+_gUn@ZuC#DOTeQ?&eyzwM{b$YNx|kv@A7BE
zkM(=46k#XMjC-l@DdzZ1B{=b5&uAJP=gFa~341pFRZW6#2ldRJgD?I(^yVe(cf&}@
z5MGo}r+N;@cQXxKgzp)9IK6<?wPTK3!Qbt|TOY%*JI{TwftjC_AAJhXlYZuRf)5yd
zj);J-Q3h1Iz$DS@OHuHRCuB@saFpSmf_t#N`<1h|;6gtc)<8Jp&2(Y_eE6=SrytCA
zKTakH9?7@wy#rIJa79GG<|a1l4)9IWJ=Ra*PUHKR9ATM}r^QKd+I8Pb8<_Tklx_-~
zbSsYcGVI$^ot6pHo(;WY4m(hrDZPaQE#C}V!l4<zVvFEt*}Ew^F#8bemvY$6vDm>7
z{?~WVs|9{&{H#eEKCrWD&llJ(y5KO8Z?2$f-wkg|M22d>F-1Kjz3>^|%sEZ?-fb(R
zA=vz@zqSfoue!AK3uY9E&r^dP;%=(Xz=>kcj0$j09@VcoxHv5E#%Y)~GDdQh@CDs2
zY53wg&)0QWwB(AU9PDEKMv#PFOEK=4*wYhmCD-xyWUyn3`rngqFhdm^9W2*DWpWhm
z-K$)%8@AWxtrCMRo`0cWCw~6;4=!OiV@2l`C(K&0a7P55-tJ%Jhg0=4e(r~lzBP|I
z0J}_7C<(%%r>Dn7VI4`A6khnU!j=2SV7u<S<oxh{^ObK>@U!otcAW6}x7Xce;l%)j
zCN8+yaJx|%o@osWqJyt|n%O!7H(EcR+6@bH-O|&6L(*i<Qo>Ia=H~R^M0NGI)G!D4
zZRJaF0!BPi*fDB$z#RTHGkc93&RzEtw}*{**p9BSq5Tx=U3G&07V$){!4yrS)i>b2
z4Jn;TSU&XKvJd>}wp`&f%%Y}r_8v^vtM2{-PT#$CHwYG2SMMHx8{K36i-0?el%KT0
z3Cc>ePhkGt3TquOrB1J90?a&CY}5>o^NajTf}PIhmAAr774I)(z+T+~oFCxoex{jB
zxJ#AWuMy7Mk*!z&vn4FcmcsoU%3h_g_v%z)Im|Zpqoo$ks=u(64@dnFuzwHl6jHS+
zf@8(2D_Y=to1}bcu*x5$rFOXX+@E_HME;)vwO+VrdM!B${x})NJ_MKT8YX=Vf6qJY
zJPG^0yImguXAD1jH3!QU+8hXi$@Pz}t-w#yvjXnGVuqJu*5QMt5##=_q3-7R&fQpV
zTXw4X!lJJQ?~}nC_0MUEd~4pTA}lcPc9)|UY&;a*$OcPXDEs0AJ6W9I;v@2v=0x3K
zDmRl7et0pVBk~43;`@*0F#J|!=YkWwZ-6&l6jsgprF#u-zh1u~0e9@8&$ox)9QYM0
z1q*o3Ghc;;R31z#!Z#l>->`-g&ZIt2hVPRtciX~qi|T!v@T*VEC(Yo$YBrwQ@TCiX
zo>{=$Hz`^SVVP$7H6yr^kMFWEoMJj_VgeWaY$&&aWkX2Hb>Z><z8l!WXAcf?8NhkG
zcQc*f=Tr+f&%xI&$EaR|&*ioboQIiYrJsAjT4%n=pMlLfH6(oD#P$5-vv9ZALhwCU
zO|5iW3C`r$+8+o@ki=N4!fT|jeZt|pq%n2!u)bU_b0kdB?6hAIzMW@u<r%zi$Ns()
zY$9Vx77tVED2~a%mt-i7U%??25~|{GDHHvl*Ra@Ax(o^UNn-Jtcd$zF=B^{KYg5^;
zT-f79*Og<i;DEJM8O-Kd(<B7nzG(Bc0={$0`H?8RYgh5DR#<rC{Okc(d%lpZ4K}A1
zyg=mh2bnv4gM$u|<?zA%wI&qbVM(L!i~?}vFS1L+aF<}d>t49Zd23|^-nI_<$_?x8
zeWN)G(@z*5XNBjMlg8%ZY|$f6*kPL^nzC!Kp#8>g2Kb7xLib--qU4Jq6I{zRElkRQ
z{ngj8MKtj7XFooW!{OTw?DX)}v4@=WaO=y%Ub|q$e6Jz~IBVBtFC}alx}TZ@Rx>M?
z+6l*|GrZmlw_i5fB8RDeT-6qVS#<W8ZL#9KkG;X<5x8>sSIrK@-RenBNy29z$MCEp
z{wrasM;g{tw)NkDc>|t_D#6^b^n<_Q=^Vc%71;g!fYJ)gxKD)p92{VH|K%JkmOx*6
z9v0@*C0m4*;;Lvb!Z-d~w4Q{E?Gn;WVEb1!AEx2L8LfZT@UJ~4`$u43D&ePgFz@ui
zpfT8b@AqkExRJhcbO65bu<(H^tiBj@W(d|iVAtmjvwdPq?}gtC%X!{}|0^1%`T;vq
z&o$pCe*UzxLl?}%{@(5ZTq`Bn(hYxTzES=NZu71@)CT7ZsT)MWTRwqd9kAi$^*3=a
zzYF>FC-^?|CzThlzt87$tuR~v&A3#!c;A`q2KYhWnG@--s^sq7jWE^Ge-Cru`!NB|
zHE^NdM}d4;w%}}g9entbuXj0o_kH=1a+qP`G*cC9GJ7Yg685!SvHt)k<xR~O!m)Z4
zBu()1(RaEf@T$72Q9ImY#+;V}s|Fok>V)UxzcJ;*FLq6+^})PNl5UwWcWnAlKdjC0
zw<{aInrwD*40c}77k>@2-sS9=fU}iYW7A<%mW~69aACLOpCnjZHMI6OOe!v7lmffj
zDY5*6=X`G!J%`;#*K@XDwINyd1o%y49vKBA-f#U6JfFaAmY0*LV5f7cy-(roSe`$O
zF!g4LWF)Ln(*B4U9^j(fd<^raot8QPi(9CghQnkMOPzvn8a-Kc1e`ycDR>O7Ba`EL
z2)}K;SbrQg&A+Ka#FhH*)oQ|{92qG=u%^Z_Q*BtmTf`v@K283T%mO~^cHv_HJor;9
z$qH`$nJ^a$pCa{0@P(-~i?xXO<W)W?KbWpdc~3AbFc2{m4kvWzx%$KAh0?bo;jaz9
zBp$$3tZxpygwyn=V{XF%raHB+;A-cBmAf#hHWf=Y%#>H8?*n%azsq?C(|6q}xe1$F
z+LM*QKbn15Zonu$C6&R2s|wzpaQnIUzw6-jmy+EsaMnGWM-6ah&p)Z_us$pIuU6RN
z<b3QESS-HWuMHmYELeAh$I5PWeuGILCL7tp^^bNte}|1bZOSjhK~l|i!*E}$Cc6b}
zZf1RH6yBbqyJ-a<kLJ#sg@be2PwK*F-l~i(!6Y+};`HI{(4Ddy@aV)W!%0{&{NQWy
zJ(%w`zjT*^_v?<Y)4?f^I;J?_D<fZR*x@TIH_vgw9TCq;`QVu9>dWNtQ;X3cA-Iml
z>JtUL)tUX{7_8LFDYygPr^4bT4zKf929v<?O8qUea6zo=_+J*B2Ow3xd<vdhVK}=9
z^M=z@sKG<rwdu?7&jc3(4LB~yf_e?UpD&rI16Ns5IV`|?n4YQV!wX&M%}a1wzE#{M
zSl(JoXd2#cQzLExj}J_S%)%?-!4K_W6W-v7QJCS;2>(^s^YsDE33yXE$IA_-jH}5Q
zgulm7?D2q=eyuqZ`O)_hDgt2<hme+jI9c(J!9!R>1mBYZJNndQMiTk91))8#L=cl|
z4E$c~{M>h#Tk~gJJp7TXTk|WNlyU4tB3!Uc$4KOx7Buz0gD0+sxwON(?y!63!Fql|
z9i4FRhmqDY_-^*gBQ5aBAu;<(Sh-Fv>N6}-uvO6j+rG-3`vA-HXc#ua@2STNnqfB8
zU)$f{X+K@Y_plm|$n)=TK>Msak$=>EeQp?zT+!>Of@xkT1dqZVx^v>S#LwTN8<>U7
z51)@Jh2#EQ@LqtY`2q}y{6fjueLI;j{)YT0D1tBW9IYgUP4|1T68V?>HyLQ*CB<g<
zTsXc&E{h)i@0U$?KHT=2W(ONAR*)y21!o^V^PB^|U~x9~Elm5GZGIo@G8Fy$H5}lp
z6TBbR^=c^1gmo7dj!VE<*OlDkVZRJBdl}eFy63+H*z*06N+tODR|fG|_-T-(p(=bM
z_4SiyaHi<-taGsGV$V_}eB-p0>IK-S#mOKB&UX`kei0sNex4r+Q*>LLFok!#6J>b>
zdq*D+wt<B$4c#8VhN_nYF2j~u6I~DC)v%-9F0eoz&2fL&EW&Wlb@*D^i^uojqt?Rq
zKJbUC^2M7lN1^u4TSR{4S^e8E&mIB80Qk**U;1nCzd-AdV7Q-Z*Y)dgX1LVPD0r7C
z+m|bFe2$*aV_04z<(LzEQ%U&C3wT27UAQegR-ojN1oNs$EnJ2-J2<M+VU@q9&RM{{
z(MOFkVUNF!Iacr?Ig0Fjn91f7tqJU{#i>>V%Q)#=y996DU3y*xs|THH)rYGGNhE4v
z%eby1MnrycUvLxLeYqv{Je+=hQlJGEYU;f}<Qwb8f9``b4m7>hg6*!Q+Yi8fH_kH<
z`IqwVR*u2N0aDKD@MoS7!%6tKrTTFqpHxVG$6t7PTQEWe)*w-R{tuQ8%UM)|gPM5e
z$(XTT9|+M_fR8Q-1XI9Q+!^yu!`aGP{k!2ZuW>pVIInVt_a3-_#o1L3z82Tl$_XpA
z%6~oqcUtvb=7x8>*B_OHKYuE&H~{N#7)=Vo{K9YNg<+?(Z<@kzw`_=tILsLvpTQ5m
z|9W>o0$xA7m*xOm;%Y8_3bs&*ZD4`vT$SvVVfR`_L3X&bcweO^d~mYqJ_F3fv)fP`
zo_AIr+XGWB%w-zF@6RkN(ZG3Wy(-4AQn$-%I(UM#JkAR4Z1`Zl#f<s9;)BnZVRI?j
zx*dq$QFq|K2D4}la<3zP^Rq_fby%fI|Lz8yZ6U(w3kM2COV7ZgGGi)t;PeoZ7jtl{
zXLDQ-Ed1^H+89jHnj#(okDR79orEQ0f*wZ0X-r3$zr*dcM=PJgQnqoPKj30N7RF@Q
zb#njLE_ip!NM;Hgq7)(V4OUKU+0KL$1LNizVTxi)@m$!eVf#We{M%IHVJY0lyg^j~
zd%Aa2RKe!bW=>Tw)B6gBkMK9YuBIYb`{d2cCb&6M;&3S}%XoRa9X{p6Hj)7+eC#{k
z4cFhkp_T=o(rgMEfQvQ;QeMHA!f)>zf)iL}$<tu%1V_(F_=;+>RU&-n2rt77{LWzm
zg+r__KGE9!fm63iZ$-gV<yW7r!v+)#KV#t0ZR6RUEEs<>tDgqIjtiN56tL|x#=j3>
z&Y$rfyWwkR^76gl#V<cInBn@pJ6L>Sef!Q$F1V>D^7B>L%8*KoAJ&QLJL(L3Kidox
zhBZvhCd}Zp2ZCis;kC6_XDwkbH*R_<xVMd!R0qzpkU1?6Ki4(3(}Pbei^ZzKmrho3
ztH6#!r$3#A`4TtosKLp6vOIb)g^1vfQ}CQ$b%_By6mNU#H0*Pxl-3-++86R%8qWA5
zm1YTF)NA}F3x}N*-*A8}s40p>;1kymA8~<&?G@OL!p*LN_dVfP0~g%|VTI{LE+6=Y
za^!!9U@_15>;AB>Q>qw0d`p3WCIHsz{T{O)ZZe>=41<r^tZ1^pLB+GtQE+LY&^tCb
z*mGt)4vt_sM$G`P(p~g_0aIPGa@qsy8yj_}!k7GQnyBGOh1zTB@Q2|TVLDiowYDJ#
z=2i$D-ef|(DEHxNA<P+AqOt>V8L<$pDww@3J9!Op&(X=z8hDwjhhzg*S)7(>g3Z{Q
z%zqR9bEc~qW_DSsU4}hEH4lA-2RZw>=HO%fuj~JVUA=eRS%5!mXRr;x@!iwkCt&&H
z9eIQBrYy7kG%Th~wrdi;qxt9AFW64rIB6PwSGsp&6t46%`|}$P^jR?+fL|Bpgs%|!
zb6jPEu$52Y@D`kExy0NH@7P6lYbPt7S3jFqAIxn?)j<Wf?wIKO3SSd5yh;n74WyOm
zhX2rBs$quLjlV^Hffr7uU1Wo^6Zi~>{Qm3tBtr1+9lvs0;2z42cwxBc%@L1wxbg&r
znk-xzH__e%7fEUVl!x`-oP6>berjM6tPPJIoLKk(Kl+%&uLHZkkSc11uXkm&TEX|y
zhZx?&w)yjRws4u4l_U{&=-OfD2ZyF@Mc2bQ@+w<*;6O2RCF1%FRxEVNVRrvt3B>ie
z+on%d!uz&%2Y-V_qH|)#;EPtzMSsGqVb*_t!G6}&#l-X2t6`!|&W8PnLwcsf^9o)k
zD<XlLuBVNx!>8!yDfhz;FI0nfqP;MAL|xklAK6ZsCWQl>f*TIOyZMzPX<)k1gNFrS
z(tK(IqP;2%?D<a;K0~IH$O|uw%BLKMFBnwsAo|1cPsdhe;BHH+*F=A5^{g?If^~Lw
zQ4swtB_lUq5hfw`&K8F!>}5Dk!OMT<=}*GvCJwo%!7U4q3*=#ivUgp|aP^;9d3D(Q
zzO|4Yd{|#?SR1yc{`trn=JitYcZ4tfEDHVz(_C@>VFT}IR1^3F3$-kr4unI`#5BsY
zV?NvQdn^n#EL;+mg{>|YX+*$hM84cphVL1c%*DbUZ-gcl;R?~)I&pC8HIh>raKC{6
z3NhXqY#F7h!Qz_djEV7@f$7+~HmoPDvy}-i=ijx^f<Nc-TfK$pSd9wx;hz_Tvnt`3
zjH$cl;ZQj;`WpD6Z1sOeu;dM@i(lZR3yLYaFk9Djc{@zT#JFk#hc(T-8HW!l6duxp
zQ)<7{PQh39_}?~#9b-B+i1%$z^j0nre=E>pPD;F=JsZg{!GePyNs0G&WB7!lF`Q8Q
z;WF|5X06SswSv2D)YB021C@!EgBI|E*B@Qj;Li?GH|^o;It@&`ux3iekS+Y|PH(RO
z{3-irs0S>n-go;jk>8`Z=tkJN{;wizPX2eg3U;?jHIRlQ=9U6$;q!;AR8?X6)MU{q
zxJpheSsu1Aif^2OBd;F0YXEzXbh9dQV1KOE?|>N`^{@SwJnXzoIz!AKDTHMXYQq-x
zMp4B4RP)4<Fip67BKeOa{H$$oP!G1!U5;~y$EVuVbl^ApRW?0f^{%_|#&Ba`T#6r@
zxWjR$5j>hPOMVxomf|$DfFFxKyAS~v4iD}#fvZ0JDTsoVG{QZtVU<Y@<2X3F@yZV(
zU$Zl-l2|Y7zr`%(0LS+kP-MYn%{Bjs{Cw%!tHk=l_?^9uBka**UsMVA+}_E38GfGi
zoxKM3jY_-j0*9V#qwI#s3}#b^_(;k*rye-N>(MF^=Uhx+9E6+K)y<q>t9Sc6hGEmI
z<9RpW>ECXgQ?SQoJewOVK=RLT241X?cJhT+PiYJMfk`bVJG@{qVdtqeICqrq=0n)&
z-unn*{atXgc`y*RyRv9Vtk;)4H-ls0o&B2sXyJja<oOu5ujb)<MmXbI+p|>otM<49
zvHrg?>9q9{ZWat{-3tpIB+<)+m)}lb7l3<npO>b?R0Rt!gkg@Sdd0QyJ8vVU<8b(&
zk-gRM=J`4*NjU2R`G+s?;xUn&Q}7sblyEDo6)?W%G+f}%d#4LFyQEio2L3ekdZYuE
z>xln#9u~ZKc6bV|oS+Xjg1?1)QlEg|7rnl437)L@v9Jc;pWs@tfi(sV3|C;Q{Q4>f
zIO>7z_AXAmzjvInafRbwe6uBk#T%D|Jz)CMAvzY=?wDKqEx5Qw+kFq*xS@OE4jkRl
z(Z~s}n||#j>Pg#^(xU9}igXzHBUtKurLY+Mu$L)|sIO7Ta7P}2FIG%;zktnIo`$Q#
z8qd9NrNaK53ri~Sj&x_&T=<f&L7WTxg^rrF6xM2az2ykU$*WQ~!27&cQlG#UBJ(*d
zaN#9+>KNG1g3G%dCKKLY@Cv?srJ1`2Uf8x}e+mCs6+HVBHhfURQVyRu-9JADYaChh
zErF$5MM{bKZ)^2ufhPFvu`x5EzP$6|&fpL5)pC`CYp|qQuUI#{DoxV54QGw-dioU(
zufO(~4E5_EtM3XUu&9}s3@t3&zw`AF{C?yu2_u}+(td6Uc6;ugLDb{jrIzyN;Z3zt
zTB4r+sKAI~4Yv4wJD(r^aqNcEGCa80#7gWJIIn-J-GqNXj;s`crGn-UY`}3gVu4~X
zC11f8n!Ok=_H7DF!?TGE;#6??eD-f*KSV71{tphguIW~sDlEtqaheU@;3Pdv?7w7o
z?u?OwALJekREN(G{uPyl!-p>BYr{?Q^oR9f{vWQiMBKM`*GEJ6l|YZH2CV<Wn$rR%
zX`O054J!m)EV6?8xpa=Iz!$m;sjk91-OYpL;A;#SsZOx?=l8Rx;L2&T^&7BAddJJ7
zFz=D!BfhZ2*zsM*VfrG)`}g286Qaz-=S5@oTQ3BDG#=zl?0-<?=x0R3FEmwTR`GnE
z@`S%jf?Mh$6W3uI-`^w|@KI4q-6^<CJXGo}JQ$QwJOlH}{thdG>3=(1?S~f^{p!o%
zW5?fqA==M+>Nx9rIAH665YfIA>@)H{zy)f}Vc+3^v^~4Nz)AQ`(N4Idq&>ME?qM7{
z`yXs{Uv{|%)|bvr{S0UQT8Zd`qhb~*iT3LvYd!J{#@CTsH^DVioOj0HZ!H@io8b>%
z9(<jHkG{I+TLF`7%u)V<)2FHjs^F}UOJ@JzKQlL_is1+f+O;j%T)yN5(Vu(;e6=XJ
zFkhQ>St0tH-u%IFDme1<Xmt@BpG_Lc3I8U4!u}4f9eXFt4HxUt4-xfyhuF}sqHr2>
zkxUlce@epT7+lqMjFkBICI%VVPQwQ{+Ad|l>8oXV%5dcAa|hnSykW5>`mi<AuiHd@
zUx-nD*%0P?W1~*&2QWP2NVJDlNf(oedcJvRwbWI3%vp?_$d6+b4R?djc$AqF_54qI
zZGs-~t`HePBLB;1c6%V4%u#-qsQ=5yo^yN%m%slzLX1B&DU~&mu>TH^Q^fdW@Y2L2
z2EI~Im_pS5J*Au9#l!juhyD@u`lKK`jYOEj*ugRy-ktqlLK@7p@U1KarqghddIN_P
zvhWc50bkb#!t&s}wL4ycaN6h%!9sZALuDUP@2}w>yIBbfl<bor>h0EMKCCq`d$?KL
zJ^0(f>8p*f_2H@|Usx^oCV4Zwn|jUA4`$jmXWR)7xMfli_4WBt@`!IRo5YZ_D|}<z
z=hsj8>9%+yG2Zve@4P(>dpBP>Ow`xQT0A<Z;N{aL0mS>^r|Vy*S@;&q%!D1x5qhm|
z8D5k=p=1t|-B~nUgV|Xf(k$U82kdiqaBJcF95c5s!m<uyXGvkD)_xmPSUCPt5)Dij
zZ^)_zpPJR_Vt^0W1o~>j6D^;FIADfj^CAlH9?pC-9@w#uBZ_$c`KBJuKM4P4bY@B#
z9ubSzIs_NexM|D58E05tiovTV;?qySRr~MBo`8)O-_sE9*RjTb5pu9o<GAfnICbf=
zumT*IWEVx$`!$-n1uw#B-~6VIz_xc4>rG(O^4@gfdR~P-VtfK0e)vsW9qwD@@`{Fs
zsyCX6&y#aepM`=4?eSNK0I}aNF4vty1^>0_RwMR9BJ5=JwBRMts3a#?>qqUZHmq@2
zR*cvmkxsv&;0lwkh4m26^H%;qsxxfWIzvvhm!%P=ln3x~pX%E%xUSZpA^<LAQB#P8
zPv2rRehv4AzZoOi{}!cJbqbuuaF&_qADP$UDk@+V!G0$q9&=jKuo~WbM6HSFudSNy
z7Z%`T@diHP{VPJvJiP?RN#v=Pz;@48!zFle9;BZsF$YGyUq}jOz2N@79=?3uuEiG?
ze_p<q7=J?T7%uz4ee=}b#D3(3L1xPwSWQs=|NDuWzv}<y!DUWzHZ6$Xlw#KU3QP7|
zRJ?~NC+o-lgST#YXcOb%qww8QtFR$YNZJRuXu7&{9o}EO*OeImp3~Ugq~^nZ#fV@N
zaXo*(F|yLZ>g@|6ME;R1+p8>a;hWWfDwyfxZgO^*Cb4F+2BtV@W6TE|de_Dg<5jX?
z?xO?nns&ezF}_irApa!_8-H-zMT{4oH-6?zz>7vgj*0N9mL$a~ScR^E-y0U$+C{4g
zlkav9BKj-)u#Kf2%%i{*LG-UurOBhFu;;(>-*#}((wP7oIGE+s2GJjC40H4xVVy?<
z7CP|9PR0y(czv^z^)P(cfiL?md|g#3UkIksE;aIod$%LYi23TxJ?{?^aq~$UgWYh^
zE~8E_ScEr<jF|tj2LImW2cHgLPTs`)ST8Fe{|5X|>*@J9c>kN-<34bTsKE3ze0e<~
z`a0|s{Ob7+IMa=-(UXXeN}eS4Z#EZF++1L@Kda%yehhh64=s`Z<aN}cc6ckvy3_%-
z&(`&Cf_bB3bcy>@7>_O`_FH0)zj|W=6T9%l`r$0|7iBY8H+Czl4E{2qH?I#b7c`I(
z`yolaKEXz?Z?tPt4*Ydv^Tc^rBSUgE9d6v<Y14sA`zE4^{g7P8m%bWs@nr5)0ulE`
z^%JIbvwuLWZ!Sxns#S(hdmkGh_A_1?8knfT-Uc&1#QJEbbr(7De5dq^JAz@Gh_NI^
zcstO`ISBThu+fx)^KU7AxC2uhxIQWae=Y6!=L>KCw3icxO}`}T6YDoc+H2h+a3X_3
zm<uc`ZzakFlc??)A@&>OjIA4aV9L(%JH&p3fM>58D_px(@$C|9`tm<o4mfBq)}7dI
zV5HS7Wq{+zomzBZe>EjtCYVc3%l-mPv0b!D^pBo1E38C4|8H%q7?J<#??C=3cqyHt
zp8_@&G%6?R^A^penY-bgH#H53`nyZ*0Yf4laI4IW9##^{6CmOYZe{B<@GVi!wp}of
zzcb|k*7K}~-(MlFH~W=|(;z%QWLZtz4`VQULk}$Nv-jdY_)k8WP#;`WS(beWPExMA
z^A-O2^12%F`E=aK`1K#WeVrlx1pKm^Hs&LoxXbH{G;GoSd!-33zQ-n@1jjRLq?N(!
z4A%|S;jg<ysEK-okQ7rE(LUT%-O93I>1vAsqCM?l*Wu2A<)TT&iS|aV^RP7uo?uYE
zYz^-qvpJRm4@XXvUxiantOY%X6^icbJHu6T9n&x1p}IqFJYfH3E9ECJ$%%R;qCZxI
z%A`Mqbw4{iCHmv@Js-A+dd-ROtz-A$`R^~RqhaBK*MXt%7%hK!2;5dH#rp`>{jtU!
z4&QJebdQCN%e*~^deGM|u5@wm#m5KbiTuyywZ(5>x8;P#_h5<p=PzW#Bs)FUh<bT+
z<!Wjnyq9kLydRv~dH+-iT+CZla0jk<CK6KvH+LVR@rJ|x6^Yct4hvf@MEzX-yoG-=
z?Dn9Ao2Xai3_29H!4!92_!ISW`=3nsO$+RQ(_cPG)Vr#pT_{K4I=4g5HDG=G(STW4
z+?+l6I854Lc4!%1_3a{+fWJLuxV;J6J+jU}09W7d$|c!{_e}^Vs}LMW8ca?DuRM)w
zV2Am~6{Hy8N%wO?d*OjSD`D)g(W3`<m|){ct%G}Evg^{nh<f&ym!vlZV7ZgdGW780
z4@S%f;S^rpM4~>pLcROS5jdm6M~kR0p5l5JFAjS@7tAH<i{^Cp3$pMYHFxtrs7JE1
zuJfOUrRKQmSKuQB1zs9(>D_Ri9$41t-48w3xlH8VcewVqlh`FVsLgqx0{%>UH1;wa
z{ES4Y8ZNxOIOPH>*X>?-2WJn+bKigk)cwP<VZ$RnO^&cT|D&iUa9epxj63{Hi{?lS
z?7&H?K*VpJ+5O`_OxLpix-0BF|Jd6f{%&l{<p6WH$F}*vVi#?SuEG|r`<%SsixRPx
z*06A=z;#Rb?ReZ_B3|NFPG=6!bv1Qc!9njoADG^Q_h0MBmWS|cJ4Ns;{3$PkFABDw
zsysOW%Xl2njfHo0FU1YQTDz#y6XEd5XX+jBRE>AfD_F0fIrA%A_0LQ+8y>2)y4V1_
zXV;qN!IcgX6(3>BC+P)cu&OKDl@ho{W^<$(-oK)VeSeHMZKKkSa8CFZe?B}*9@hB@
zzQ`f?pb%a?=pon%yP5v{kqvibve$OO{WH51bKtOxBrN^#-QKd;blB?9tG7R49|<Zm
zB7cs?%V+_vOf4u#g`3W>E-b;y*ZNqA`~<%psvGd;!@JH&unR>(|0c|1)GkispIo~h
zM9+`<%5SHT7cl7@EgvI%Sg7X0OZdgtp-=nZUNyb+IM`m|ruBZ<csSiT5$@f6fmQ;x
zy)WJn3%~3iPnCp^YnII>z&z4vuP(rM)udI3_*|5{oE}_9{ggT$ejvs;W&<ldq_>KJ
zwO7(^Uxv@nrGz|(6Mby_?!aG0=!T-<>z~$G?!mm_S=2=QTwnonJRDL@V@1RdS)O^D
z04s$Qgb>%8sJ}D27<OWz9EyS;ls{1^gSmrlr4!d9S8F%-3Fdg*wD|~TiC%lq3P(CA
zG!WO*6V`OBAJ*Eq#~B7EHyeNY2|twiHy8<fmmhLpfPbHrlnjQC*p|`!hN&oSJP(DN
zlU`bGz(#d%7Vg73u}9W7;cIRJB@f}5$J;6N0;t!%yFlj;o2`b(GQt8MTfYXv+|#C`
z`{29x7Z2Tr-O5J&_QUift_$~Ii<DwP3AjfwOzkH8?8m8ENjU69%Nswq`LQ62BFq*z
zyzK#h-23*e60Cka^$-z1bizK{6wY(cxkJSFtIepG!_EgK)O_J``l>k>m~K+?g&Q0l
zrWkY`KIH!*jJO_io{vZ4VZT`25eryJt0C$&%n{1uZw6<$_R1x|BQ^y+r{F(-pCqQk
z*+Ta{<lr2JG>s%UGthniHY3i%7Mar)!kSg)b^qW#MZ1zLc%O0(`v7ceYQ<g*t7*O|
z>Vqf0S-*b^SN2}I><Z5h{bKHfJ<kS`y1*`+|J8hg$6jZVE5fZ*kIwhPy$Y@lO7LpP
ztJEPlH}uk#!|?3;^G=iSr5=t}QMhHdL){|mx_h#f6^@W!ez;EL(<dF}fVuS<26pbp
z{gm1FEivHxvpA{$qlaZV7)~w2!P3IQZ1AC;^~n-A>ub~aVfbO))u1A{qADp`06th{
za6Ap(H9b%#1S=hEYkLK|k{3Af!3Tm>4!nTb>om!T{Ejp4>*L@8VV)dL*gsvGJsSS_
zCr^zVF0HC6ihyI^-dkjbPq9nTJcOAZFa{IXL(6+s?LK^rEN5UB{4DW9{7qQ1Rnn6R
z-p-!v_JlVY+FRCezfX0ph+KoKZ|T`=z-lL@$sOSL+Icp^FzcaO6HD0ro5;opEcw}>
z!w{|%IFt4sww4?}cplC+uaN%;>+snhItI4|J(x6xrING1O2Rxp_URhIH{~`g_~Faa
z6}q%=HV;3wFwD?)se%gr%YUJ2FRa3yTk#G3X>!=gUI0G$On?7>@Z%=h(_C=zgwOs;
zm~Uv$G!Y-2;SMMIKkHy)0};>iIvt)2o9ooO?1%ZtN0*85V}@CupB0vK7FcnF$84or
zx#9OeKbc>FxkmS$*a-`Tuv(DAynfap>$~y3&#+#hfVIe;+AhI&U)in9VZ6ONIZ!?Y
zAAXz}z6jsrVOkx9soMTw#{>Oe$l}}ptdJ|~`wLcicW1f}mhBqe-v`@=vps8t&kyVB
z5&7&<iYJ?4Gs)G>Z?N~}u&{bq-d5<zcUYsQT(}nQr)*Im-Y@l$6#k`fyUJ=e@qWoU
zCCgh3lSx1GZ-v!qgFW8CbOAN&ZLrqvdZui+uhIPdNBDv#-UV>ho211Sc-Ly8`Exj#
zNAAUY_*UdhVKnSeWFSuDD_s`Xi-fm)7W%7Tal0?uci{`aS!jv;^iuA`+wi{0x5ee~
zd86X9*WlW|x{(_Anh^b@6WmE+6j1_8czZlkgE#CH?=`@Tr+=PQfhBF)L@MEkI)QLG
zI9|Q_J@Ni^{26^%299~G=~4_EbzC|k0KZz@JWj-upL}cOgVT+I`io%pEMp%=*j@1y
zO$E$4`-5#aywuT9ln;x%y40{uPt2dM{vxjDr}c#OCj4(@HarI|EVJ7^2Vdy)uPB7M
zSJ&T8!(AUqE)(;I+d?_HUGQ|UqA(G+r9FSX6E2LZ>dJ!Y`;TN4!1Qr<j}q6b8`-ax
z2hToP>wOD<sZ;y?5-yunq$q&fmNui3U=6O~yi7Q2qJHWwOnrlymbf3G$%nzW;lZZ?
z#l-*L{B}g*8r=Hy`7dJrLM>9z<pev;QapMCYb*~6+rej;!uAvS_DzMKtl^o`)i1<+
zs7HvwQxEpKu(Xi@7x~OE>%e~mP1BNLwOgunr{Qubm9MYi;j_Y)3NWWqre6Yls=%;V
z61HDpV<z%5yA=&2;6aUB)lcCRkGP!&VZ9}d=@)P#Ygn=XT;Z4X<T0#xaafBPc1g0Y
zkAr!=`llJ;j!Pe%i20qIsn|0TxOUYwj+ozdubz<H0UsW3Rel7EbeM;)(c$;;O!j_{
zgahmCMOI+p=N<vXe33pb`raJe#Z|)@3Jd&9-Zuk3%Vzs<4<65N^%{X6oVsKh2p60i
zWF3b6cnZk<;36J6=kIV)%~JdwSd9K4Z4cZ(ude0=`~J|gZimg1@BQ$BQ~BI>eu3-w
zx*uGJPtGJ8eS|{>Y5qUIrVeaac@GQcnKcsg=ecu#v?^iMyN}F>`M8}d_e>eg|8jtW
zn6D@8)K<!eL+?;067%UI<y%8JaL&TTGnVi<ig%J3u>HWD0b)MAl`z!(8tzPLeP{x&
znKO$f!h<j7c+6mhv*%jl;h1;QpY-8mN`L;x@JhL%g%Nz~Oif)ByvCJGbsj!T_J=J5
zE|4ls(t-1yNtOh`yQa4_i1o*kjx*g|n1_{VP!s+oQ=IJwe_%HbQHJqHp-DVpSv`9`
zHJItBY>GQ9otD)s51;$xw&n=aEEHNQ!b%<=pI(7&V^*o9;2nb7vsQ5Y%to>de4XxM
zxCN{?D5rTGF0G9EWdzThksCSzzg(TaX8==%-wYLjy;FsI&%vbRp8Jl%U&SAJYr;Ws
z1uX|*#eq*>l;K&vH&%yWs`}$Dr{Ny*QJQ@)<JD^o(s0^~|6U5f-Q?P&5^%AH#>yV}
ze%B*oQJ8#7Jd6eQ3L{$=hDDbgPtw877uC)Sz;nSmt-E0kySh0(IOI!^Ck4FsD48k;
zT;}0GOAY7mr3he#&(e2Tu48@bNUQyw7N$whTG@b)uUT+V!X{O_HK*a%yR)wCfD6?}
z28s3V^=mS_w`j4xFkucQ*25_Q5A0Up%YX3q3E(-l{M1GG;UWB~8hBifWMdL0Euy0N
z4qF5zJ|Bm5zeyBz!2EUd3qN5!x4&n*;N*=H$NFH`kJ?G^VTns255B?&_2?u%!n#ie
zK74^s954$mf-AVBxEkTqS1i1x@ZXe)iU!#IvFxWD__UDno+|h{|GarV980pER}K%_
zFi~Z~4T1WU1+eSR`b46>kV*Gh{T;jzv+H*}TvZ~Hm<FE{$a$CutJ=-Wr@~imv>hkv
z7wU8u9>0K1ncSP6!JYK%C!WJxMNw{%a7&?2NHm;jbBr<uHlbD*j)WNv&*g`}=ij}#
z`w%|OJgy!N_u^|YAHW7iBufEs`}$AM+wj2yPlJMBoz)W7TkuqAuGk$|`ze?64cI7F
zvC$tEvFpvg2G@MPwwI_^o)A$Yb%5Ct)^mw^>!8c<J#*NkUdvb)o_uG}YY5Aq`7%e;
zk8BIsq}AXa7NsYg@R5nch*PlndWkSM?3Jj)zz^>~drY7V_3F8(f0sF7-_^&Z74XON
z>cJZ{_<S6*P0quPXWfsJBL4W4;Rh}FP1Ui-ONg5cD>?3gMX#&K|Ao8r7XI4}OK#g$
zFTfw4^!v@BUOzs1)qV}0rVN{yhFkS?&Md-Q%s0n6VaM3Bi$vUp?vPG9{F_3ylZdnF
zv7Rr1U!@7%T!;NT-<K7_6ds=|{=j$2is@2e+h_T<|KNz1*4{7SeKp3fS78-DgVsn`
z(f*|NHvISV_Q^-E!Pw77#PwPyE`|8P>P&@_B)Gq7qxfZCxMa%0dlT_au16YI;qVuS
z_mLyscS@qr9=_PxYqbN8TN9)-f(1zvs3~FX`=8zPVUFW}GKqY30ql;!>a6*Cbnwyj
zD?u8BQ!F17`MNb`eNu2J4XZo@JiEE2dJ;}@aPBAaS@y5bi^6($xF4{<lW(7z9EME?
z+z&Fre=MTO1mFiLJZ;4DqmnpsjSmhcy>X2lUUECc!48XgaIo{i>M`~ASzvd&hKqaQ
zQ%}mik-=7%tab{(+B`Z+Byj3<@k=7#cvx#@9s5aqk=kd4;QZnt!&P|p$9f2n|Er-l
za}55xD_Hz6yuH(zWdt^F82C!$3us-b>4W>?9c~?i!@JfG^};@;Ra{5lpv;x8?eO!#
z(;p;Y<=X+LzQ89RO_Phk8o9TltKi{h_V1+N)*0%}a>5TPwNJvmXDHM2VKoKuRe89u
zJ&G|G&eiCblqT}&!|jsbiXhEFMc8|rx%~w!oSJ->=nsKIdwd_m>k(9ki2m}3``Jho
zti4)r<usgb|5(Z&9(7>eqe0};vcI|w{}QUxRe@K}GOs$rdVCxkn((`eu~v@oU#TWp
zb=V;^x`^1XGc0Bs(T4x-Wa1<C^DcRPk0II*g<meED)uX5_WqtG+W)W|O`<wnyA*L@
z0;YfLpiBp6->b|Rgh`4@dUnHFZNdvp@I+V4%}VT-pRK!brVf6%{gt5x4(+q0D}Yx9
zNod1i#;6**Ecii))XNCC^`uZp5`1*G$C4c^^DuJwDa>f_GROh$-8w}P29MD<_nd-R
zW(q9=V1>mQ=hJY_<#Z)KnDvE~qYyljyg%LpK4;*!<1qZmN1oRSW)mn$C(d(73w`ji
zg?VF}<!Ir-<8=Q_V4we1eof&#NQ6O>z8-vygv4hSrnAU3Q-ssco@~s7C1Q+=rQjP?
zCoa8(O&qkX1mIBezk1eiPZwkPUO4>a)PybEo%pt3jvDn_y<q>3I8S8MoJl(li?3O-
zeu7D+J^t%~8}n{4JcU_%?jPxZPk+;R9S2L1GB7p66**cdci~*Q15WiY%iBGY_u)>r
zQ#n<zQMYXfao#Jd!-%pN_HEkF>j4+EPrWICe~h*?5$DC`M9E3B;k3yIX4l}Sw-Qp{
zzzG*cDC}YRp3=>iFs;jQ{1w>W(=aIsetzVEsuj#h60Q>oYi5nO5a-kWv5Nl=hf|XS
z+0Ef~HEpd2@EFCBx0WzH&FjpE@TH@VNQr;%&GEsa>#%XBdz~xHo_Un{2Ao{o&E^B|
z*s1o>7WPb`I(-{%(2d$}4>z22dHMi0Eqm5&1dq`@t__8)Mt`0#fhErVWql0So#+qO
zg^xUYm_?jd<F^)=(T8g+=65E+U#<44o+EyK%{P`fpB5fz`RY8Jr#U?H2FAAx7%0M3
zN((GG@VEAW0wp+H-q@)Gro8aw<WDNhkNCbU_rOc4#XUb@zg)wlcKCbE#gNZ%3(HdD
zfAFY?hDZy1|GU@q&+r?4&cOHZL{T+4k$;VmL9h<?Y*or>gk`0M@07te%L0^};WCx}
zeI@YtK8o2onAO4mYdVpC&X0x2e>)xE@fzMc{jZuhFL!pr@Jj;x`jD6&ksn!M;TjK%
zbL9Lhg*8i#e~N*vuM9+1z_Q;J9i!mynI<v?Fvow)4Z&~@ZQz$8I8R;ZauCdvyzTWC
zE<L?jeFqL>IzXEXFOafY`N89B2}Q(tz5|=nWgala?P?9;yx%{1>Pzmhev!m);`6qn
z7%Fsx1+;X6i1UJ74rE4G;H&?AJoW<iviy-_1&{mnHzdNojO4l&u%NMy3-LV7DF-r*
zU|l8~5~6=BQqrC?fMXT^%Zh|Kwntx|gWYL|6^QeRlIJ<jXu?IIx|1RB8<juF%CN>2
z6Tfiy!ib3SY50lEr-Q_K$C}r}f5hOc>MhztzG0=n)1&ZlZOJu%_|n6zc|q92Pb@3|
zcAZm+J^-KZj+eLvOPl>wW`!dj+%qHcC1o_mnBYImQ@e=vP1-M@KnwqV(*67<>`CQ4
zL<L{>lv8nse;*Ky`AdoR+f3o)4QqZ1mRN%|2CuTX!c@w(j}~Cc0*yCBe{Ylccx(<<
z-J7L*6*k>*b9ev_+GFZV^l!4OqX9o)*W5AzqJM8!ot~(ImyO2VuEP&!%R?&Q^d&_u
zqJK(zS<7X^Ln+nD#Cg+{wc)sTFvn^8=bo^jN$ye_yy?5|2ys7Wc8EVog$-)Gz7f~w
zXSH+g1-wlo>PXyAd(2JEB$)Hpw>si}V<TubBj71{=}BTdyPW+rDI8uB4T~o3mp9g8
zEfAI_J9&`EFV$%`cnH5ZHgby??}E(rD16}1<RhuXdDVSO6K_0Wec9XRh<|VG-4#=N
zSnzPk4dQt|FQeG9h5y?i<?(|zNSh4J;P@ADd3WHQ=8o$o@Qa!e6XHCqa)yYm9(>5n
zV~)7Lbe;eHT!8P6S3e~_ulD$-=QQB%th0xS^R^L>RTtFYAou7l;(TxF0HuZkoT<U#
zKzx2>2P>!L;8Gh4Mq<3IcD<`20cU9rr4r|b4^T>vABQ<g4`>tPrO%DJX9DoY-n|}n
zaL2uSvio4gTV_0FuousRL=u?Go6U)Mp3c`xH^|^QweR)B^FB@@_;#5BpGS1cByoKP
zq6XA!a44m{B60tU?S&N+FqJC5{XO{J*8%ov_?7iU717>huCaGDz`KszNhID!oL^6f
zHNvCnXP1fbQ)^&{Y%VO*%alX(_xZ)y{<m=GRn?0`oaG2tL?XQ3r}#F}zfBye{)>Y}
zyqG$O{y38GN;Dd#qEWFW`m+zmOV&_0V5!l9xIVrYO4shgWfqG|#Pe|>)h)UW)1OvR
zCGOAY-71|IJp9VOhj<?IH%FZ;V5_MfcOLj|c*X}K*w$)x*FN~F${LLxyee_Tm;si#
zU1O^We@u~^*#jF^&QfT=huKV@P{ZjfMV6=GnJ2bFbZ}#2K$S9_DX)Hq1r}1IymkU^
z*u3zX6JE*dY&i+1YDxU#C-R>c9ASq|F7uudg>OH059NekJf=vJfTupU%hAAl=EfUj
z;Jry<adhyt_Z@qcVZPoIOXToHovL@LaMGK3ZA!Q-FP&T)4tX4%z61Uk9Qo`5tY=DT
zMdV*@vs1HzMcPuzHg{qENq4T-2A(@;5ln^n&i?*TV!V5oH9oWxp8M}3PbAC~Ce_3Y
z3mER`?u292KV9R3w{Oxbx5IqKK8N<fxoceugYZ>(`VJwOkGbD$08X5dFO`KkeZDd8
z!+giJF@k~kd{h*A(gomArekYrFt0+1`DM5;@bU!(n2e=r(E+BaHETEnyEzJ+3xSoc
z1ac9dzu4fR!7$k7RZzDoY}DTuo&aC#N;`52b|@X>ONK2kWlbo-rEj9Y<ia8>^@_yx
z@Jv6kDu8938WQAT`-9g?D`1BI{#%xSzvo@ktcGn5f76wMFL-ODe1sKLeq|nm+s~;>
ze1bdUeo=_SH<I>+b->xyQx=Eeztvp4U9fM-WThzF8NcfB1J*n?&3q6xAzz^U3F`z*
zUMD^;OXn7gahUn-=qEmShOcgElE~lj>!1L9fH^^fIN!Y4(|da_oWmIT;}2|oxVw)V
z=8kj{C(bW#6f}yn!Y{vF`nV0p^46Xu;)bV}n%Oa*rKd<sVS!C)hRycEyUjDoi05gO
z>tTHYR!zOfNW`c9*)E@iKaM>TBI5e}E9>Xs*if^(M0>cDJsPG9tBGEf;ed5t$IIBj
zBF4v}8R4k!4?h$0^}m%T=b7LS9Jc#i;Gk!#YP9guGwl*r*lFY6D|+~{jWE3rOgD91
zZyW7XNMJ?$Hf$c?Nk@jbfM@Q|Be=pv(C#1NTb<E2qTt7dM|g?$>dtwNKLu`X?Dkwo
z+^b)-C>0jk{CR8(cI23_Ce9!4U%vBj1%9T~xLg8Lc!w%&z|8LcubSYZ75?YHVLK9w
zlPxfJ<1zg;*j12Ygg8&^+**^h01tC5dk(<HQ*Cz3@colH`{!XPPs6HNm^C`MWD$Nn
z<lwagUr1KABf)xT`}f$FDR_r9*BTl8NN(XUkw2fcu1&0;WVRgckHU^6Z9~NRsZjO$
z;5eKe_Ew4=ep5UmIS4Ne-EASx6Vq-^KOTnfD_QUhz)IXEGvDFJp`%3y;8$%9X+QtR
z(S65r_5E=GM^X|(ku6yj$t)uyGnr+SNF*}bNcJeD6rrU0A|b01AtPk(ol#arwkTx&
zUg!7c^YK2P&*$EA&pqed`#A$P7n!t?g$3OjSHHkF#R~r(f_a8I%t`uOmRMafzPRO}
zY*s7$)W*J_j4ytbpvc$(?`zkT)rBL2W{N7{4$02bMzBJ~EJrm=ubZ273U)Qpyix);
zo%YnQfWJS~YAS=RC@h}Y!ukD!-tXb8fv!>q_{X2Vo*ej>XyHyW{#f_8<DDefdU>Cc
zJIr<X+;9pkH@z*&7vB21KQaa`OS}3p2)^jh{yP>vtYyx0AGSV!eIW>@p);w8B%g1!
zF}@AEI4bcyhwbQ!s61dlOJ9uyI8-mm$`ih2>-a1c_E=>(e-19cA!(ciXOI6aJrBQ8
z=S%wtPvvV?>BGjFH8y21ukkJcBbc`%Kc9>ze!#BTstVg`miINmKSH>~)!}-t4>DbF
z>MfC5itxQ12djHvhd--BO0eOVJ-pvx)_7|9gYf<Q<aa+|1^Vu2IXIgpcJmZmccEue
z0(OvOjh%r{v}Nc>!;@RK%#!iMMc-b>i^A-F0YS@fqNdl{et7-6TQ3<;d_LShofp0s
zc7}o$mTi)u<%j2DjLn$fU`D~S9Pojr&!a4G^0C=ME|}f!qY4*XD*u&b2VC+)sEv#-
z7Q3Eui4CUR#Isiz-h1aF&t}-5d{SQ&ws>;z<`!5XZ1@!!Pn`Rp+IMav>dO{tOER8#
z$13ga-*A7{W*QRz99Ymi2**lg?UjRPoHkzThg*)lZ#w{Marf1Jfit8i?WEv$redxg
z<nu2m827;=w3{j#;Mb3j#*4vsB2Qnag9lBtbOhnlqq3hq!*N!jU&-<M2tKqag}W}@
z4(5eJzdGgT!w*9%+4$iHv~?D_aQk!#)`)}4lHb39y*ZbUll&-F*=m*nH@40#ll;nF
z9?f_KyE5(xV}-ZWoiKU{x3TjbWPsOiOQyt<xV>Qw8Ncn85`QcP9xB(kvKe-^_fH6i
z{dZrcCgZ&+yZ>rDfVZ{VW>CT2QaN+J@Y#WkmQC;{UdhMa@MP5s&vjgHg94_h>u}=r
z!mT8I;^L$5tFZCgw48s4>qTGt<pgiLSgy4KXA7)^I>7xa?`Gy;@A7X$*5vc`6#?_`
z<V(j}R`7or@Ai@Mce+GO+7Q-#R%bxcyKsE|q6eSJ&R!(r-#H&A?$?Bk+CJVT<KGV)
zQEpX(Bb5@QNO^v|lgdvTepwf1M$&65z1l4aGr0y+48hlH&$sZy7u~N2jKHOiOxO8f
zMkC{fKDaBriJu8B=oJ4=?w5k9z)A-A=?KHqUh?@bHr$)wt*w9ek@UK1T&2{om~2~n
z2Yl9Kg>97@&wCO%cI18(WG*OJf_INTWNe0Gg`P3b!KHs);>mmf9qF?lX5gC?+B)R^
z7CLr>eiRnx;rm(-e|$~%ZWvbdS_~?OH+-Jj)DLe-t7F9*RTYmbMQLAQXN!bS#jsRZ
zJXHs5`s|WXDI64bJ*gFDiq}}mgY(nPS8HMJS%!NBaNnv_d^LPPXGr=z9Kpk}SOQz5
zCspRaNq4%H3*kpsj_!N~-|qYzoej^`Y)VarFG)o7y@8{5BrQk70jYj6DX_H7nfoy?
z`(I1%m$0tXVjr2$aqg*Mdn~;Fdg`T6SVUB|Bof~Kg4T)D&j!K=*zUt;^0Qa2!QWqq
zTZO<9*VOe%{jOdq_Q4PC3>xjXgDH*((%HZ|Dz%rF&>rfot-g1FV`HQS7GT+wTk2=w
z_#gWNJK>VYhLiTNWzUn}ZE#jVtjsys{lpG6GCwGE(W1{0rpWYuR|41i1O!}w&BPSV
z^I+#hrG1y+U(NB=q`h}<y>rzG7B=DKcm>yOm@fB(1s{E%C-aw70+<{;;Li6i|9cEu
z<`yxL<M)@OWQc-~NcHD<!-jpOAMU|DE)8!;e&`ofQU=41BS%g|z+L<9rh36Q<94Zj
zfj1eo-zEK@LC;-3+hNl^@luwsqe9AkQXVX|o8!%4KbB;P9=JN~xen=1Q3Q$f48pYA
zYx78dtNxUb4=GO%sGeAB!CIaPLL)F`c4?D3+^F|o?GN}rv4<Xtur3el)d^T%BzIU2
z&K+SaAn6z4j1TRB`IUXnO~a)Wo=HM*rIBaa7|h_xwzvb9IWTZy7M_(<uw#Lb{25Rl
zhclg%&Mu)px%e>X@po9m*mrgXJ}s6INX{p6_t3<5*n&r|mz*#6&-XsVaO?Et-OcbF
z2F>OUxG}w?j^xjaAU7p4zwfRWn?)n+<Najt9X#x6M%@XkJghNz1M|7u(M3~H^4jWD
z{0n$wxa3b4eDg~P<1;uRlzEWE4<z=}2Ex>~N_V>9{$~sxe(;X5nCs;JntpZeiajj5
z>mxVGZ%^Kc0rLLU^w^X6I+*j3REH$In>JLx9A3JzW+wx0E%`WG3YSfnFp9ws*y9qi
z;I|Y<rAT@@CdajG*rp)lt~@Mq+SD`y9^S3Zbr`lV<jo@YU!+6GRSj5;cicJ-ez&w5
ztpn?iz9~w88Ap_-juY2AyF7y5pHE>r33EA#)kMMNi{ls0!asMvY4(A4TTOG5=OcI5
z3!?sTe74N>OK_o4gA}<xE^gx3>j6(_`95%l4S3J_ll+*jr%|?qzjH<<2E%cWv!7bQ
zS9<!F@58YN#B>bdedW}=Wd3J<Q|GJWu-zUbw^;b4mx_rREJfiEL!PhrW`4fafVsEk
z&ZNMzZ&l99!atfySu)|g#leC@utxxs(+5~@K7>UA7F3T|$%8K|?71iffAk+ZQ3?-V
za^w+!@09nrk>@SByEL9caAk^UV<UXM?a&@J*s_c5Hz_}(CCx$Xu=Y78ZSs8OE|UJF
zeFOfVaqF?2gQYVM9Bzg0%zDv}!+TPtCd%Lgo3<aAf%{WR9+tq*3*L8;=dW1SBfs)s
zRo6ua^1lC{ZTr0s@Kv{H<{>z<!}LccTrJ=ElFUcVygC(<4p&BB(IvlMB|UfWIm~hC
zhwC7md+gEIr|@xVAGU5-_}LEWN3bdT+mv27i>jdOA#6jbZA8vzzp2uJJMd1C>qF#z
zG1xlVehXeZM;F=v57@Yf`ofOSq_~>lhzr~;UhrPg>hdc1-CsdJ7r0__%Sb(}b*)dp
z3GU8$_MjZ@Pqpzn2X9c$<s<3WJot85!|Uc+HRO5sRHaC>5xlL~b^J4IN<V$g0KUq+
z@`yYi?-saPuLWC9Y!)Qx6Fw?k)_^l2BO7wysA^3<Sy($JZko&owxa*-AOS1azEdIp
zk4%Vpl<t8&yWg~=!<Cj2bb_#Ecp*QzpI1{0ZMfmq=<N68e)msTkr|=F^9>!{7xF&A
zBGviZ6nx!FRP!tR;JbIg1l&#aYN`$X%3#v-1HS7P;M)l=mrHMbN8Bj;kG%hBGBU7z
z4fnGy-XZUQes#8nMZ@z0k_~-WZy+m}dL#_~=`~_G2%Bh5><WZEPPHfJ!ott?dESIa
zp86j82-9x=$#@0!*I({_0?&->zu*X$8NP6gg+FugN1DN_<(D%~!uC|36s+L+*e_hB
zu)BMIiwWE+bEsGv9*%UmVF`~Wy%3Xx_gDs%pM<+B^?Y{0D;u^rpM@J^vnF|9wuUT=
zQ!u4<-ta~^uU(Yd8vdKjWx4?#chNPlfPcl-Ce30!46gN}`Ezjb2{G0gIJUQ6l^oCe
z{k?Ym@WpxUQ9Ia4N3ruOtib9bZ3A1fj|tVo<sTb*9pJSmN2AI58qBxv)|0rOt=@yT
zaM!*5tK|Io&!w+rz-D4ew&eF(9WxgqVV}rpIw#oe*H-%o_^p6d0y$n5ck9iU;cHg>
z%jA6c@2@?%3K!6_P8^3v^ZtaJ!@W-i)Q`atX?OW8;RKIYy{d3ac;#mWxIwEi;3#~Y
zPDV-&KD;z_^$5K0G_NQhY_M-Drw$x`;(jbQ{3-jUod&!*E;6wdmb&ziUJq8)jyk;s
z4pF2!r42i`A4va)^;RwiFi;r65s|T+3vfnwz%g<>*R~&YChN0s+1#2X$Lo10u9vLO
zf(<JU>%;Wv3ZiYW7USX%a=lliUdA@VMv0dW7{T(fN)w-8>bvK@kn7EOJMnZ8yky<S
zZw${3DyOHz4z1NSr{OmeiJYnM+`CN$Bp#}NZ+kdQ6Fh89uD1mDOkfy%;-L5m@_X^u
zJH4*M;x1H6Brf||ZsH0oFl#(c;=*P;KTpA<cex@+`AgXCZ)^tJywKc3zW<1G=3g0D
z^vZe@`Tb|DOy{NGu!-?3l3%}E>rBadJzbkMw`#&2cGe>s;Pv#ORVBDxO=@5a>-$7<
zshb^yDcH*{O~Qf!tJ(+Pk_Vv<?eHcIy95zf{s_xbCmijh7`Y2>INm->);B8iPoHFm
z6NZcfOW>gk|MfG&eD~?S$a+bpt*ml%u+7q~t*P+S8$$c2;Zdc78_9Z1CuLs+tx)29
z?VZ<AkKogj|H@|IZN9~Q4zPgUEv`{G_p<OsXSic#I;I8Y_`^xb4kv$%nX7^OH@k&%
z!YTi*+$({-Dfdb)VZAMDCE?*b*u48@*$OPOYpm-Xd?o7N$M5h;-Ydye`0z3HW5aOZ
z$zZ{k@ML_xS_6DdP1`pX&XQSeYl7zwKNXCD3t0KRs^HtAXMDrq#iFxYYhjab4E6Wm
zpHGr3^5LTkor1ye=%N0J0(gC@;`|Nx*EJs*vObzS!xWuAY-E1y)dTqL5#e<bUvx=+
z?gsN$sl6ic*p{pG*I@G~O<!j?+xzOg2z>FnX16V@vG@6{eeiwzN?#jT`Bl#T-SCLj
zXF*5UkmddhKG<0QNWDF5x-&_0Cw$jiTj(sD{Gg$etanGNXjftiKY1kV{txTvMgDZ-
zFo4S%H8+v<^}5EM*z3T8hg{9Z;lxiFrAJ^F=i4Kbuoth!1r_+MSj>Z;Fzupw*&+Dd
z^$gx$@V=J|7i8h~(4wk-c)VW5ofjV3GvGb~J23ZgbHlY(6TBq8Gwrwg4w8P~^qWDr
zN8vvn7Wnmte`ekA`L6dKbg*mm!U$PU&^FtSmli(YM)9x>ZZ`J1K?#3!_{ZA`Z}F1m
zTc<#K{eq&p0j7<&YM+L+dVh?xlDGoj%}LlvXY@fWobpMg<0oADsGXOjXIZ<v{};@u
z+~VE=dmju48Gt2Q@;7zCGnb17hv54(xmE)(@7ZdFUf6E%+4K+`6-^cO4K9d#szvfI
zNN)3V2YjO3`wPjxc_&rvE;yOqOMD(q_^g`H3@_fW__PS~sAn6K^!yJ`U8KeJY7$A$
zY=ASZ4z1I{ZEim|k@P{L2hFy_65G10tKkZDmJwFCv`S|?Nk4DR^jH|)G9~R=0Xu#h
z7upL)n7LL}!8KyzK9cZt$rHOu;K|=*3}pSn;m4t#Ww2p=ncZP{?<4K~?_uuk4!4fL
zIrUz*bKp&n9Q$-&rb*+$3^<up&Q%X~=MRy83qR&ns5F6}r0koDgSCbmf11N<@65Gc
z!bOi-51)gDuHMWHf`hZ0y<A{f+EXS0@UG|80_Wjkw&)sNcp}u1*&UX2OyD<wy)8T)
z$$EvW5oe>>VbhKaX5sKNRkt78;b{rEWItHKeU}nFe9k*pHV`h^pm}dI{N`NXtt;@%
z`M*CY;Ik>qJFdeHv<&yx)-6h+Qu>RW;i&h{D%0@s+ht$L`iVK;SHJ#*Z!@WT8Nvz_
zYJrpRqd#2}<ow@xIqV&WA8gK#)PTR~y>6a`*QAbZR3q_<M)w)`Z_B<6c{t=4Ezcs{
zpi#h$Ddj3ACdSTlu+Bzr7jpf^>~AqI!y~<0`UK#Se`)z7z0>M=Fc&Oa+GRzK-;K+C
zo*lm4rfc#K@gf(FDGIoF-DR1?$7o-jSws2SS@!AZ3gYbvcA2C+n%(T0-hg;*{4@_K
zuZM1mDy<{lAok9+2lgpd{6T|w_=7|JU*P+VcA?a;!DIH@O>kb#Wr?luJ=GTr^{{5^
z(=J+Aw$1mya@aB;&W8#9TS2+440gU%EyzgH4}Q<hhp&xS*RjI2T<1h`VcPNOE9Cm=
zmT5F+5^o&e$pzDEmZ_w}dnuSo$o2NQ{_59DSfGi<ZWmmo%6lpvuIoRZP14f|45vJV
zSrt{x1z_nDXV}Bws`EeRIpDd1(L85ZkfQt<Km0PlW{)GBTbVULj>qS5%_SAsWA?i|
zIbKb@V-#v|!pD<$w!ke*n+zpk7v`|<RIpZRV81ln-r9JV<o7Oyv$sXzj&B+kpOK$E
zhtjB2VXVTmp%hk@_enhj4|Hy4PKB?tdYmM`_b}WmKN+q)q(wpEpY5pm@4!J`=7-68
zw+HASdWOOjpC3f&z*>Q?+XLbMcGU~$!BL|n!6ERN#K8_rIJaRy?go5gC}qwDt~~D$
zaTE5c>_6rNhb>>3xC%?HvGlsYbzw{DZZL!MF)25=tb6T+E6g?FRptQ;UkF~f1h;?B
z=J1ELF9aDmz%uFIUkAdiziCsQ;2JS5s(UbYg`&2FZzySpll(8)7h+)tj~(?NjfU@h
zbKPbJZ`|9wiL7UPUS|5jDcHAr%h^QuyTsQrBX}r9Y&r>U3Odbc3?Cl4p!Ei}mQ}m1
z3lIMb>3j#92bDJH!@Nc1`#-`9V=slZ;7!~^MTPJ`sa<|Y;oXirtQGKcgSBo|*nnB?
zRTZ4Nw0Kt&o)gb9>4FVjHvCY6L*(mzko&=S<FUge{SLa#hrh$SbFy^y!Y}SCkBz~H
z>y&1N;ajfj;iNtIg-zV}U=<14U8KF-boALAH=Ju<Rs9vNb9B&Sh4q!{%}9GV!%Fd&
z1vaS-StspTx$4stYFN1;h?}HeJS%5N1?NO6Rgm_N#gQg;Y0aX9u~f#Gq*rTCHClvs
z_f0N0!1snc(q`b(JOg)|VFS@eF+=cEbDkS7-~zEM<uRBhS8^;C{`9t0_B%X&TW>G`
zK8cM=Nc_!N>*Ic~wY!PvFzo)XD*hs@<aD-m622kb!%WH#S6^dEKisr^6Qu&&p7r%w
zGfW-X!b8fp)q`ZNM%e70Z{<Na+9lJi65hICX(A67Mf&iR!%P}mRwdxoL-$&<;SZPc
zIY|1XR$I?3*lx+DY(HG^#Hl?MK3O1TMAA0}?h#0We~$*l@xi?A(mpSU6ZOP*!(NJ%
zjWKZOnI}HXFrDQ#kq9`6#gcvpJmFe#@fLg|ION1Q*2BIcJyhcZR}ZTVk@d3ay}Q{x
zVJ?#ZiEr?ii%VCpz;SO6mh{65oixr)aBw4iZY3P${FUh{+*NW~gskWNgMQT76>hy3
z>HZ!*FY#fM8@zvT;MZGt@P6SNlKxYO_rnx;w|$VwO;}p6iZTgSDZaDn0pB#Wef=Ch
zs;B$X4`xtE;~?viE3=r*k@SUp!wz?0qXSGaf$$moeZ99~o*%;DUT||8RjVr;Vc#hm
z1Ye8RQgeo5pP9K|hU*IW{Pw_4Ov_pv;IDhy7)0T-%KbO&Vb3(j54+*qHJx@Vcv5Vq
zh7jy3;o@ZpJ8aCH;D!a}yE{!_#b>5B$$Ik@S15f?z|l2h{A4})k3V{()L~`){VF7V
z)y|AiP58O-vnPV^<t%rVgYdtK)||cY$$X6`a&XJVBMf9c`V3D>y}fWvgVVl4@EPN}
zL{XTN^IM<_Jm1Z~E&!|VabZ@21vAG@g<*M$e#c|5z=kloop58%-`j>TMe6Z$9I%Rs
z!@x<Hx3q7xVHM@wmGUxKPd<M+ShX3RH21CXgq`oQ8s@`CDPpb#z|mD6iyvUON;WPM
z@9IfD{szt%b58Yw>1`O7)8T2FF{5iRuT~6gG~6xUv~m;Xd#k(cIUL4)mL>|`I_~Tk
z1t*K8L_UTO?OiW@3^P@WP5uXO;pE_Y2ru(qy_o<HYzQsC4>vna@IQqUmXdgG!L(hX
z@1DUCV%$}M@XC$ElaX*?^^-f6@Yb4S-gr2)fqBphu1%KlcnyyZ%S~&;``;(=llAK_
zMx|>WBcInlc$2JOzdb!?NdZ1vartpEY%D5pTnP@Qrk)|?|BWLLjX11fC$Y62jxG$b
zlz=~LSJ<}0&-t%0@xzT#KmEF4Zq1$x0&qO%&F(=s;PvIbYb)rF_=Wv91%DE(^`}65
z!-B}-JnWg4*1L#!z)k*J|6rS48>E(Di<?D#l(?UJE&A`x!56i%ovC4mdYK=8;pt|B
zimmXoqOD3(aMTaA6O3@3kWJJKT(Hoe#s<G{kedDl&mM1)<A8k*glLY#CDSeu{4nc%
z<GAl|P=p1aAnZPxyzmpA&->>g2Inoi8uh`NFMrY;fHRFsQwCt`6M<HwefLwN_)r5o
zUXh|D^`pp<WAycKP=A}XHaum)do2U@)jSk)98T@Es(S;=-TnI891f`e;1dUb+u%um
z7T(P@*O37K9OJdS0BcAq+<655)qm?x>gQtPs{>K6LAP1Yb=Y<zlYAKbp9ALw(!NXa
zYKK3B6TLr|_`zp_2gX8R3zHyy(!TpYVLcKGGt7x5hr)ZaU&jW*BFy8`q<w!;(l;9n
z-;#^GPuln5aA#c~c<ny}&KTJHaokHkn9k_mRnlME#<OSD1MXjYM@iay8l~_wZ`k3-
z#`oE<g%Q(6H~7$8p$h3AW+&f#?+L5dZ<{6Ub-vcz)~oPV#Y$iDJjdxRVtXCdb-dI?
zp7(CFJ}q*A&+po8N1o@Bj5a!7fo&;0*vR_xkEJeFIKr3N_q-y{ujbx~TqM0@UEAsm
z{ABZ>iU=(K&}nfK`qSL|t49Ul@r4ints~yD=i)O~*l4)=BUz9Bci9<@?eOorOg1Zs
z56Nb|*b2|5Kbj`}?_7>#tu3%nN>B7WoE5bkM+J-bnF;)Z7fg34j4xZ1+^LvLe+8$h
zWem>3zr*}_U&1_2<H4gag^hn9>3^|2x*+-+7Wl*{?h8BchWSjum%YNgU16nmD#1Un
zo;>Fa>F+VWR^^+7Q=PhglJc~_EVYuv^IqDXG=$p<8J)=Q3%OYSCGG16CP$_@c<j)a
zJ?YN|2mZ(*zrW3~kD3lXzx{v(`F;NyC-==T?b_v6eQ?T(>bnZukF0wVjt#@%ChfaF
z!we6lwff<zOds}C_<A3G{1^Bh?PyXu+{3D=(*fr^;nh!sk2>=uHo$$Gf_q8(7d2(6
zR|n@!<_D1dHu!HbQx?Lh{O-?R!cCqhQ}f|^jo0d=JzOZ1q|SmL(^0mP_VP{icbzBj
z!!rvMN8k(B`Vt?)EDFkD>hQ&rtnqi?3BLTmeQ+oxvsO5K@!_?3vOkK);}dFkVaxXu
z<BYI=lG-SVS3FBTL-t#VvEos@4;!*Aq_1FqmM1G4hazDO>$kj1@R+8O1o?jP!Yk*R
z;fejHE!5#+0crCQ_~EPRjYr^+O9qtvuxzNB>u&h{<u@{;@aghlwq0;qb;Z{KIOF5t
zu<<2}5`K!dT(UpRJ-eVElW@kV@@-^)n490OBvrx5$!A+O;rO<#C>U12V$BX7>xidm
zZqG}Corjv!Xc5;EnXpcTLs&bGQ^F^h1`3|RPST0}8{pve{kdVVG+kOv3qG&ATf{ON
zW(yipB>Ueaw=TR5hZ}u|?iRyugMOLDz@Ja<Tq}UrZzmZ?z|Qt;a|y7i!Kci-u&`R6
z?<@H3Y)pC}{A98H+CA8Z`6G=N{PRO3<pY>*bI#ivu+#YmDYxKK@y;z*VE;opGIxlX
zy3SsM8D1KOg~Jln@--$fHxEZ?Ec{PIlJ_JmZYjW#2pe8BY}1AttgcDDhV%YY+j9(7
zQT4m`4t8Tc@l64i5&Qh=1MI+jL`n(X@UD4{oZr4i`B+{!f>}(W2DaDb{k;orc2v4c
z^5;U-=2y(H`heNXPI!Ij*V1;lx5sg%59YMV*u3`7qU1ovLi{l78`hb%4BxdM)FyG8
zxYDhEV2&A!4syK>k44$c!=?Jy_LK7Pm*r;R6im-E`EeXB`Jl)A8>XY#xcv{zE4$x$
z6yC~pGj1L};D4I^FFcVmZAtoLs@wNoorK@G*^lwVR{LUW$@l-a`IA1mAL5tH1*YNM
zrw{gO!r~5cp5*)ee(Opbz;RD(Zuh`cnhD*eux5tbx36&R<ByVLzaH(BG1(4yv{mqv
zHT)*K<lYyUAya85*{^4>o%3)L+$^4)Ncx|8j;e~Sut{XeD(N37wT?v9!tX7F?z+QI
z$HG-f`oWY_ie$f@O#|YwRq#-AQ8nrBD*U1TT?2>Yec46!>)9IjT&E1?6_(2+{i*4+
z%W>tf=#vwhNd58JAo@fO%yxjDkJKNfQPrziFxCB;O45Hy?l(6}gSCP*PmuZ}hqpd0
z30AVCjlT!4J+;~RAIxNUO6&nV8X5oQ87x?TsQniF>1LzNeb{qz-9#vS_}32lP<XK{
z`B5Nj*=BRq8P;BkDZdYUQ|EI#!X~Acoyh(~TWPzS&EaE(ErI0x%F_?tJP8k#ChaBt
z&5P}hgK{M9CViS558uW70ZBM=Ey3U_EPhT$eji*Ik>5-9KYAZ{IBX}pUuHWq=|5Ne
z_j6<${6(DSg$#V!;{FIN91?#uf(sUDQ&gpbrG4Fac;U=v+|kpE=npG|8Gl82qE`4Z
zJp%9c3mPEhm73xH)1UBom)dPo-uZKk|9pe3v71jfEZ0KyUoYG|G@DQAKSBSx#WtAL
zs9&QE)*tqH*#b+Qik+y1vkz`FD}xvB*-?}9Jq-1fB`{?>Z(0>RSa2lpD(re+c-J7j
zTaR!5WjIE!qpAzeQVkunhMUf*^nZitH7?(?f_I)95AJ{`=z5e5Vd^#Y=VX7bv;Ng%
zdhiv+NwrpZ^_!QvCLAd9sHq*k^z72K8r)bX=SKGbQlt_(stD(F_fV4hFN2o%j~qNy
z<(pCor+IYfNy3R^oYJIzV6JIf6o<18eCjEIbyP!-i@+x?nA&}Y6MMo|1z~NP#jT{i
z<gm~(<AJM>-+fX9zuI^wlNo*$oY?&c&X6|POb6c!5<4Fak1;H4SzSPR^ls3#g<ZEd
z+Wv(ncIbB5!D2~&80X**Z@>GTfvI!q9me7NXDqi^!|o3jw~xXnjpp8-gp-q7TnFKO
z+b<}dhO26+IQrqgXI6%e!zU-cUi|{s$U3{4z`IVe@OHp4-D}(RVAjAXj|TWsr9+$n
z9CUE6Kpm`Ix}>QE4>{5Je1`cypKUz~&tA~lQwmeF&UmQ8pOORu^WkApBWiWnal&zb
zF8t+7U#bF}DRngD4P3fGK~@Q#DUFoMfGcRKzRJLFn6KS`1s7=XTsQ<5{dIou0&Yt!
zIL!;wC7c+IhP#^RMs~q26q%8cu%hjw`|R*j-J9CMFa?cJA`iUh8OQV6@WX_-RUz1B
zXSbmTe0`tLc2RhOLuKVUJa75><8JuZab8nb_=x^b4U*n<^HRD4EYm&`u><D3`i;g0
z-d)PgvlBkISZQeqr+0BWZGtPJGILE}t+HeDv~b2)5`z(Z!%0K!ANB*R{upuLC|qH5
zv2htTIJ{%K7Ca<7c8%;O$jwIOstliyWTcpfsfX^cABJCF3`v@V?^U>8m4TJ~QY2>J
zrY>q;DY$b7U)KoCS~=&j4-QvQI5!4o?z$zg2e#Yuj&=wx*y-l83)Zu(iu?gL`zCjA
z!6Mdg2HW8GuVck`z+azya_)pha^!oN;UCEoERAr_FL4<<xblzU3$ov$?;Fp1G%$xW
z_xLB6h4tF-+B~keH@{mMEZ4#tu>uQbKI9_%JEo{|O#Fd4=);o>;oJ5;YBMnX1BX9p
z@b@j=&ws%qW9NJ`VXO7&Ki}cOwS)D~;k1rf{jYGcnW$MD{PM}Qq%ZLM)#aBD$mip4
zQZ&O?PmJx4fT?<qq&L9g2Ms&!z_L?1G?nnd1i7>K;Ma`9mZh+0C}jrOFSFNVHa8!Z
znfr0j2fn27j4=nca!m;$`)|G~PIt(FFSi9VUV^XDYPcl9(GOoznZa-SEUI3>{yjJD
zpMoh;M0lUVk4{VVXu}$B)o(<=F$o*aAA{>oQSG?{%inWa+XFL<hy?n>%l}E;A^Vjo
z|75-G3D2EB<i!F9H>wX_feX+4qhW<D@{h{7!jcLJC&+%ODs5?#XW(Ju?G9Vu((2q8
z3%H};JR=p%C60|c;DL8+@>^l~kvo|R@T`dK0NH=__p_YM(y$Q)jS~%A`K%*b0$y!0
zWLm?1t)DHZ827?Wg_E%qh!067e&T~2sTgJY5#QM4cwPi%aC1xj3csD7ao7c0w(36r
z3|n<bm9vxdtV6<;u;76gTsvScD(7oCF#VCAZuIaAwdJ*3ShbRGHy!M)qx9+x>_2qD
zdjlL6UoD;mUwJaovGy0=*P`PU5C0oEbYKBq5Nx7JgfrOvzy5*$=`&=I{dVUw*~5Rr
z!-lkFaquQ1$HU*@`yVwfko|c(qdz?Eg(vI_XP?4HLu_X{VGm0Q<-4#uWsXi0Y`;07
z<{sQ^$h=Sw>qqun41#kri=VZ_Hk3|3{o(Ac?)V1yQ~36-3vibj`{Y-6Cg{NDbFhBI
z^_U)bj?>ZMG;H;oL3s#fyfW8!5_XYs9Pfua!o`9OVFkUlha+&JSoV@0{Qi086gl43
z{x&%Qc-ZLpQS$q%bz0>@@W8_0iAtD~GUW9i>=(V);KV<2JOzmyytD9TbuQ`>__n$p
zHQC>Ka-ir;9?Z;?9aaWYYbn!xfY0*$kp2jtni@Qx371f4ekz1bV=pkL!{6+#ozI4k
zXN-B>hxN@{!iwQAOS9$&aMy|CUzPB@6#IY&>?av=yAc)&@sYX--~DlRuoHGyk+G45
zx2z}?O~P(!emRHW>c4z!WdG~tPvtk5;Wf?F8Y-Nh&Ye3#+hE$xvWrWIFaGS1`S%Cy
zAL|c#64%yF8k&b6H!i*>`(;Z%_I*48_hkI5T7w-OPOATeLz3xS$@hQx_xMC3EV^-$
zj>IQzy(sEobCKnDf8k1-EXEvoSN8{lRk+G7p)d;`6fFHq^7moNX0|j~IWgXM0d}8T
z{hR{t)=3qdh9CKfwS~jC9!Pv9zvpDT-|qp;ZYAqL_WS<ApEY_3_6k1za1nlAT^j8Q
zbK0Mloq<KQypLJIN58foCCBs6B5KhBzP#QtJpsq<oI7p;XAIxIL4L3Pwvo9${65pe
ziRABZ!?AS|_hG0UY=d<}#LSIg8NC8AvY&b4VA1+Xc$#)oA}J3ohc}oT!ygn@rr*F$
z!lCP@VQUjjy9_vKuJ^)GxX*_^+7bR}<nmb+UQ7PS>jH0E|H^$BKAoQEMD~xj3BTeY
z0}r+x`%CtZw=8-qC<S+oD8-t>)Tg!l_Q7_7g94{uuZFu~d*F<S)>=c@-;F<H7pyUS
z(U|N{e@Wa)h8O;sZndNX&l!~dM**9hPvtX#MQV5It<B;8U8Sf>U6?cF2U8c^Bf;iI
zzCSB0-?<HbeQcmq8!pV&uBwBzXipqF1}_hW4t#(W0%Z9pVExlF3U6TSCi<ERE*kgI
zjVG2XzSm5T`O1gol4D@Q*`2Iyu-n=NswnuCU$u1^d^1Sc@;=;qkbArwuF0?15(?8Z
z%{?rHy^jT-4}=5zj&OW}&sjB=_`sWU#?EKL8G;d<?y$bU^z>U;k@|4WHTabeO;if3
z(n%@c0*hN8<4J=>*qVCI!E-iua_+!E7hlL&zz=s+D&2!w1fNbEhkw<~cR0d%8?I>`
zgR^w^S-HUb-J1>7;hS%785+YH@86{<lJp$e-KOwRc)%%nxR>UpuRh$+ZJR9#zq<W$
zvk@Gk%(87iJQ^rwtO9cv{&N(9%QhH(I|3h2`?6C2=HAW{C=Vyq6<_6oPo*B%dKl&p
zxYfi4-<-}e6NUAZuk76hw*}P>?1xRaGAdEQGS-JbuWUvC$b8#(TKI*TsQeNv&p;i%
z37$MU+W#B=!Ac>^2wMktm`=kf#k1eH!mH~ME5k64NS_$_{rdejV}r0kY<({~OmTGA
z!)_8^De&6`TPjj-`U1zkYi`{Q_ia(P?uR$U$Ci@(7<kuOLE<MT3s?@rK4}bm1Ms9?
zq@^yb*pflt3p;KudZP~?q#v>W4qukP`Qki${fkUJiL=uj)g{-@XK?*;8*Gxj@3$iy
zaisWHGkpBo;)@ILRC`ERHBA4lL+uiL;HLV<O88uO{BKeodZHN9ir|Fo8`0NctdhQ~
z05-E!SHB7$6Ns$Jf_W6!Mm^!b#yU!GVcD*MXb)J$kM&0~eE(9Wf*-tVzQ+6&Oi$%L
z>J8_<j;44HFB&U{1;g#OTJBHbp&lAVQl9hUwsS|oj=yRK?!v6`Wse@f<u(t)LSU`)
z59Myd`#Nd69>W)Sz6%Awcev_<$^D}ekX3&Jb_odB`y8fIFjI4fwTslcp2B;Dg-2as
zzrmNgQekZ)`%VY==C89&$uQ%$LtfUfl6Kb4T=?CjlY<59#OYL-4Rf$7GaAET?(|ND
zaPeweun|lp;9E)3Gjw{ksK5`I*_}SYwrmXAO7Pe5mYqegcKP6>3@jaGS5yu!>0Ggu
zf~WMlc9y`BLL6`T;l?|*MOAPd?Q0=E`1$#+ouA<YUktA>!tBx(MYZrrw!U9m;bqCz
zot3c6mtg4?I`o$!^@<u`o@-2L|KP0X%}%7gDvJDR_#3Xv@?j+P8H2lP)fBv|_>W^F
z{7#OIr4QcdV#C-8S9rX*(+hjX_Bgh{iDFtEwXobbWyWsUx2FDBH5|LJTu9Q#+Q$F>
z1fPGrBXtsPj^HuLgHM>&nvKIfKmIPgf!*8rR%S`u-t}?@ED_TFdIsKcM3e0m>{u$O
zzX;#oQg}ZB{^QWK{1>KmiIjQ@7t6S+Z$$mglk3J81+%Ad%~HX_`G%GE;CF|uqqo4d
z@<obw;jv@}_02G2#p5A=I7BG)9vd9yZ{OqvXIe_j?|{#zsa?MY7aVo&<ARS4Cyif*
z3yX{8cEZvHRtK$NMy085q&?YkqBP?SJahALC^yW#_WXn??DwHmTo4ZKU8y+%Q_5`*
z<%5T^KI~8<pU*RC6NfuZT&R@bukFizVz5`tu@o8jh$^cfY5(47CGbeW%qI$3CE*|z
z|MI<X&_j;2vv9DV@?B2&T65;fGqBrHfdecs{i)nI7ZT5Z#>D{J*=gxJ!L<B=WgFpz
zeX7x(@NUnkObWP(ra{dEJ{-_#ytoDPrL9uMNq>V`<V@}iOf#_m+dWuxMBDNgT>Fzo
z@ENS*9C7qJEGB)sH3nX<^_lL0H%v+tzlC$M+l<=ayMw7tnefHhvV~eWT-f@35xm)Z
z?0W?~HrjEv0JfCuy;B4;x_GD5!tM=!ujj!!tCJ?x@CE)~oNwXCqFc|uz&n!uZc2kI
zIp=gb;KZk+842);NdDAUI4Xa9cO0DNCGe~V)|VZqc?@g+e))YAzO=tLCj#EYLKjZ@
zdzCsZr|-f)%5Qd&{$S?5Pg=onMRs5CA2@F0!=x8H`BJ4}1NxKJ?;dx%!<|$=cxhn2
z%I8vk@EiWvOaYj2uNa*hY$7y%njijgW#2m&*w*La`X2bs7aCzF_>+5ox-fCd#s(W$
zB!K%5>EF7DzR$CSCy!o;mxh_1zdvIF>#k5}D8k1JgWHe8ZTUL0axhQMEl(Zzr*L1C
zD)~Hz>5LY9pjSvu88(kKi&ln<nN;uU!*BT}{pI0jkAe^C!s@Cs!jiE0rpO9Mc%|$2
znlS87+j!*yiB~Ts^1|;m%ktgfh92989PkUaMZ4?pCkGc<W>_oYTSgH4<$V1vdYDF%
z@pJ%uJ+iZk8eSF4{uKv@ayY$MqQ&!@x^vho_||2;<8+9p6bsXk=amg?;&=WbUP{A#
z>Km+H$@ZNR@ipPD|0dvbyBHf+5ZCGLn4N-`nf?lIM4ZW9DtaDXnsj(h1xKBc9bJUI
z59%*$fjR#~-lM?t;e)-!&YR({;?Mi3;Q9Kv%5CKHM&?4y@GRricjR~&79DSFhyR;9
zPPZM-3asJcf&<lZ{FvZBuKgEzU|PRNJ?!uiYGoE7czt-rfDLYvGPfhoyS82puSx!y
z7_(;_gxQllBT4=ZbS|8dff-ff<VpVR+itX~2#ZP2zF~xU@9$5QhmA~knr?yxZw2Tb
zfx8~q*OC0x6Xh``&*!=W-9_Wb58X$03nU)%KtyU3&abCiBk^0DF@nu-XS{a28vI0M
z<Y@!!aCM))DtxeLt7-*oOMULQHe4uj@<SQ?@>HPuG5BJn#I`zE|MKizb2za2;}S_9
zAi>#3-XB<84>xXvuj~pDaE6b_&??u!k9G6i|Ns7B_qQi4aLRUpVsFGpUDX2X;j&aq
zCO>%i`Sx$^u<UiA7v%kj=H@r=YT@e7uD|2pX6>7FZSbSE7m+D&p~_=Faz3VZ6C<hc
zzi#WEF4)1BJ2VSk`Q>5I37<2))Rzs9_o%+^gFkvC_!q(yl*T+?;mJo!?ZxopW1Jp8
z;DAqJ9_0N`Nr=egAk0_3gS{0t<X+Dp<w0CC%4!fkBD>)U4NSLt&(?nUJH-*DHKeE9
z-t_k`asB@1^YE!O^`ndMmyZ+kB<{5F&4W#NAI6eWJ3z{J(<ZU+v~W#luskWR9O5>&
znBeYZmpAK(cVGY6%>wfV3e%GEDxSpY%?a=Sw8e*%cebAW0(`L4^bHACc#ph8l`!nI
z*DQ$z){qQ!6@}F%N>2&E3}rP;((q%Un8sajfX`CiAz0pX-Jjh5>xU0psK77ZH_wa1
z5!1bIj=+Lb{)UHOsyyBkI<T*jeuWJDx71-tA8v0?_t1nHKE8Wy3M&d+om7M0g>2C{
z4Ik8Ph%<&=-kSa*???Z8dVj}pSiy-_@jQI^)1iyzaBr+>zcYMC;Lmq6SS6N0>LUC!
z{`ujvaACVeryJbBZJb5w$KstFdvCz%bIWvgu($7rOCiMCr~i`lJ^Q`N@516|C=49n
z`#&fDyoLXB6^gcii>~dA&xG$Z-%=#Ucj3_Eks{bD=dGXttnsAiQ30Hj%Un;+uOV8j
zrxq3o5zkSD?WzoJRl^y3ADxziTPfbvllSMj!wKrrumV++M+bas&*t%caFpAwPd{MU
zmM!f<aG$n<(-3?j`?4nw94vl@VGMp`H#NlxtN(NRI0CP<m_(85=@1)fISucxYoaCf
z50%`I^)HxbVdLro%1h4CKh!g@roHdwzp#}O<GV??`SUQ_B%HK`%lI$+$J6rO7~C>1
zLqYyOD6^`N9D?siYmU<5{|C;I9S?ip!~&VaTj3)gQ%6aha+~}B3v4CEd}aU+>fJBR
z3V%NND)$$xbx8UPH~eL2ljtxktG$08AM9=y6FddG?2t1j|GzX@Yt@naD^^3CMjduB
zEx6nbhkEeno`AnL=$n)JfX8#&BKbe3*`}O=)E6Qpl(8paQE%Goq<-<spVc&l9iIAf
zmcn}q`bI6`q2<yC#qiC764g_%NN(oW3^@3B;*Ya%hx@c)8XR;g>fssq%MQDR1XwBk
zs+1j^&YkEK2Q#Lf>put2sc|wtf$a|zI0nFBPk#^HhuyQ|Sp8s=aOXS0u#13e{%!b6
zcFbx3NgsFod@$TEwIk6J-c`@B`9A#Yh4M}hn6mY|RS0~B``~$d_}rtHR1ab25vy)n
z*f`XT<_^qyu(kdeY*tA3n#6B;EU6rYoeXQzN&F9`lk@@j;P1-@;c)rKh!inc`Mbq(
z7@QbNZy*RSD^t9PhVw%uKl8(sd&iDO!mU3t95`TRj$(;4_^~!^B{NKy@GUq4KAL=&
zmlNLZr?{;ie*U3$dK-M??6$%hSTj#AdNVxNC`#E4zoa|mvjKi7Z)HOMAN<_i_Jt0v
z^1AVK4E~qj@QDVtJDxo?0aI6NurtDABHxQR@c(3rW=r$>X8eD&F3HRd&q^KHOTM3V
z;h>o)ESIvxM85xA`yka`_{ex@-V)N=T#^$vgnyOAE>FTUnH@cP@X(Y*!cX{j0sYin
zSc~D0atq8b9uX4)&pAa5SHry5H2NOHTx)#|pJ4^J$~#f8!ivwe0yxc{UGzDep2+tr
z4?YkY>qq`C)(`VlErq88r}>lN89lC?V%Ton&HXiO`rrmb70lJZQ<w*zc7FAjq~H4@
zb6WwdIk~Q13nv;Go7BR7W*o8=@OhbHifWj9Q`y%-*epp{l#CCsuGZvv3xAjh{4x%o
zww^0bhRbrwZp^_x%MOQL!6T6ljbwblL7l?z4EWCT(*g1ruRtd)85a#(PVjwEguk(Q
z{(Av8Wwl*;0_Q#4bJh=j`|=kj84qI9GDYJ7#~xL?TL&xj-x0NgZH(1rYTz_^(>6<3
z`>XnmF8KI)oBWfoMS-e7C+ux~;H)96T*;OG2M#di71e|t#2L+IVJ-gOt%u={TEYB$
z7!RYH=M=Ob=K5{dzzwH|sO=Mi`KOn&q+yHr=0F};T)Wd!68^V0Z7(ZqDxbD42X~wJ
zJZFK0?gynFgbVFYsnfxXijxoYVQ0fn&o;otN}uF);Rw#>YRj9@AN4%ya~jt47u+)s
z_ZqS7IR#5hQa4Y+x41fM&%(-n<wwTh4hK5Eb8yr0_t-i3ldt+lPxAS@oBxn_sClrt
z7fdZGp!WwZol{*2ByqjgPrqR`<`AP>u#D!!&L!CYoyHs)Z}iD0Ds%xZVF}kJ<C*#z
zGk&bY6!`{YkKxxm$IVuWt>ToQ!hb3*yxoZNQQUHNFdp6@ws|)>zqc#&_mbem7>N#&
zAEm7=VwtezdaV`{tjsGO_!iDA{}#s%A6cFg$b(<1USVN_ABCEFeuQ_N33TR#{av`Y
z%3!To=6)`?S$e9n5@tCn5iSM?speg1ga>;+ZrBHhdI%Rc!}6@v7E&;G=&V&2EL)=6
zbO7E;W1rIlzcxB4A_w=dtuB)BXkRuM(@Vn-mv88k@o(8}7Iuno>5}>k8NW8v+tx+W
z+w)gx%)|9my%I;@v%-%?R$*a&y+mag^>_pskC%Jj%#@TrO}%T<WW3&^w9nOg@B-(C
zyJS4y!I{ckrm%rg`#v(>@1WrR$P+N7?FD}_9`IX<_~dDr=|B11JTL`)gw-jy_HUa9
zADplro@Wg&>~sBT0&jfT)MWsBv=u)%0h?HU@zsJ?w);t(h7XBw&Z@)e5t6qp;e95|
z$H?)_%<gCKf^V$Mv#7xdLl^UIz}}M71@iEB`rc(Se)CVK^?x$3OB-9#Eto0uk|xQ2
z*Bw<_Wc=soz|*|Fa99V`EE(VFppt6E4?k&3e?-QQju*7Fkn3p@HgY%|u6#M@L9X{j
z?R))C;6;0y@$IlvE2VTKajuXYHN3d{MMo_B-?yV_lyK?bj=hiJAdGUEL3#XA`?~H0
z{5&z#X$s!{<6JF?C$JQp?SLgzCY=6*=eK`tZH2ccI+r|!vssq;%HZC|6V_zBtG^q^
zqfan%yXaOj9(GM;uY4{n9F&}q42KSCrf0(vOd?b-;k*I6rI#?vsi!Yf;j&48=XiMh
zb&p;Od{r!hB?jit)S4#aZI1+|21mm=|8B*Q@wlqT3Pi(Tt&dakIdJD_^NUb8mO|`j
z7Q9=2NFxyT-M~xji1Erw)uD45@EHM7b7#0-;H<7bJbK~5vzxHuVzu~DIQVzstT%io
z;%SHxT<6<n{vO_#OPi<+TP`J2zk}y$m5&{SRl}=Z<-y^NZH3aX(xzAgGXA{Taf_`e
z9A%y}Qv^TCjqTV2Pg_{1lkw_8muLmp;XG~EpC#}LPfQdmyt6~~K{0$xp;?guKJTr6
zpb|EcvdpA|AEy5eEQROB>sFR%@cwP`pFj=FtZC-D2rE2nXe8-vhr)Kuz_0JuUu=YP
zgV}CR!lk2EKa=$4O1C?{!o9wZwk>e28iQ63EF!1G&;)ax)tqX9#Xj*E_Q926$6D%P
ze#5DMy|CtZkViQjv8_a592QRZI{gV&xe@yF7u>lek17{-rE$GA1Ao*Nzm^T>IUYJN
z1;3Ya;!KBW`)4k%!k0V^*OK5poVlFKa12%0s~4~l)%`*$%m=u!X@&I}%qf4|jshNI
zlP`V*Z}D%}H->NaQa^WxuNd4|G=g8a=&N6ZIj)PxoPuLVALcm2^Do^;_27?{tN)I`
z&Iekw$$W?34LKni@Ti^aGgVkIM)iv{yn{1xnap?C@!#C}gK#YCW&;`c(_hbQA=rP`
zAyW)iUJ_E<15am7Q0{?EzP=9M2|xO9+<F%r*l)nc30Elm$mW8#={34;f%n_%Z{Gng
z>btIPh3&n#i<#lpM`?-Fu#4E+Gh{wQW9n8`D)^b$-;GT0mYWps2R5RADsdx;%%5Nv
zvJvQm#f12mSm6HNo+}No)#v9=IpM>j@;_?fH&fbEtnh}g_mUssIKjd&9{BAlQ(`WB
z@V3JcJA5hp?rajgWY!))j{nlRk#mW#`t~$YURZE)H{CP%M8dWPA^7=bAFmkL$9&k0
z%=fs-QLsB4{`N|fjm!se^<|C<gU3#BmXiE&XE#*51;^RASxdm*s}eH;;m6E6bmH*N
zu_5D|FiqZ|D4D;al42U_3K!*Z2b#gJXjy)^!GcnGpY7nOzPpu|;o6uLb~0b4&Rd<=
z6Q-U>>y3sT7LQgs!u9WrgCk+q>1Y=lxL`ws;4`>i^FyB%{Jui2DF)7|*l^1X-q>;Z
zVm!Rho^QbzmU^_4{XclGtLqD0c*^QneiE#CDuhu7KEd(ZCK0~+tMh{@?3Ku~AstrY
zo)T7uc~5^%e+}Q4KHMY=7bT4AzJoWvH&T&?Uzj|Y&x8Yy$B*oT^USlNKfqZW?@#W5
z2Wd@I$b78hM>bIGf<5c63>3h!#>|&_;F2SGQn~OF|NBq$aNU0mZN+f#<B|h(@RZ#p
z??U*M5>poye8=C9yBwZc;XFzKuc`A_mBI%^U1k=j(O=^hv#)_=rLSB6g;%~dY^#Ew
zk5_J<gsZQ#y(RO>Y!BDp7=zun?4YiN<Mv&u?uLiunG;)Jo`I`!U*J0C_j*n69Bbu3
zBRoQpHrWXu+)-sz54TlMsI<cRRL*e)@EfDA1KqIRIVYxkxYf7f8;OUsS#OGiWBguw
z_rQ{G&w4zEi#2HK$nn`14`!Le-%cy+D}miOdQ>f83%X1nl3&w-S03uZV_GA9?_uG7
zTV4aWH~)g<8~8!nqKgvzl`APC8D13oxuODd8p#ePz&07zjvaubdfYW*VTw(sdn93b
zP0g7na9n$w|6cfPTZmyeY^E8oO$`3yXR#Cp8#q?x3cyWFapt$-U4IfZg<&1a8`Qz@
zb=RMhJn*-uB3p0RYFm-lE?BuLmf<G6ZE$rrJKWwS&_w3DvEKSmm8AdWN_T^le~ZX(
zzjnZDA+0gTVfzCIqPXE_N#$yWaPT=tMG}`~4zMNl+jW=6zqsHFxxNf!zSq@?h6mf>
zEvf$+g<-oN`!dMy{dvFcAqew$S{XCJMe&N=+_3n^P2XAI*MqiSNc|FCAKSIG0nc0P
zuMaZ9#&e4Ht8i*#d*~K;<Ey7R6EL$F_XMfm73yTvr{VdNa?zxISIV*(ABLCKYD|Bl
zJy^C1-AvLSzn`2w2V19}wf+Np%Gx)4h3o98=~v)U&%?X>;RjA%&r{=gn61;lllE-J
z_Im&=?BwGk*9x1{7WI<jzxcB6Um1LN;lm;;{9jDEK?VFwF~W!!zP`H3NZRvTyuPmF
zdO6ouohR-6;f)qmqA;J>SjAhCzN^7R9PU}j;w1eA1I@I|gK!P&c<)QN^KEdQB7ETE
z8;K-X^pmZC27KP5BK!rcZ`zQh1#e&6p!f{d6`wq%44a)1U%3arD1Pgv4lf*WOS%jH
z*U`XDzHi%jC=HoU*3=-9PReV(snBU3IAEvM5-D#wLMjDr@S$zlA*8$>&3JVF8a%Dm
zAT9zc`Da#;{!rry?qX72Z%Wv3T!3l1j&0?De~bEio`o-uL_H<tL&$Vc;0*ltV45l^
zAB?7y!KUydtC=Q}f2$>S;>K`04YfN1e7fTH16?>pQ+*@J@Ab>GayoFTx@r1mxZ894
z(<AV^XW{a6@BxP)brsnAcl;m~9O{;wcnB`E?z*@U4o~7TkcIW=M_5UDx{{~zW<OjJ
zwe!_F%)7VXlqf9xL{N7DzOOQnPv*1r9y;Fh4<4AavL*A~wnkX`|0ZU*Rn7q~>jX2B
z@}$ld!OjZXaXhj74$q$|yuko7w&joiguSxuZ)}1`0viYF;YHP$?sfDx>voU2Ho>71
zf%_+6qjzgb_uwu0bzx*a+RoywG7sR!&KD2L;9nY_SDE0|Bf{df@W<qei;QsFi7D|y
zcttt%)Hf<TujP3>%!cca1&s8=k5s6_N&nY*zxmfn`1kaq->+asejUdexQOl39GO4n
z>+)LL2NoJ~G`<5<<%V|p!7_rUQiEWv7%PEG@SgDxPGr8;<}=$>uEQL@xvXS9*DH<X
zVP|;8%+B2jmhNu6b`gFc>dfx|PqSrn+QTYaxB{(V@$!Jz4)85r;r&)Hjk%qnHN1oO
zT7w--U-_i$3_Qp3`UZJ^dfFv;<}jS^II{CR{IT<7vpoF0Y5ubfELf}HE(!Ati=T6Z
z|HsjN$8+`laR3*YS!qy7NupsS*&`*Jk`PixWQ8Il`J!wkB&39_%pzG8lD)DbL}o;?
zm63k0^ZWDpc%RSbu5-`5XWr1wc0Yt*M<qFCEBN`nGhux20nQuQ4zT`iPfA`m)z$05
zHJE*`X*wq??%NYZ>Sw~#ukW+Nszt*JWd7RMv=~tq`0zBtpbxCH_AZqXcIVo1&kKHh
zAW3s0Jht`t;Q-jUva)Og>>@AINzR|1OQz-W2Gq~)J8dQPt&E$aY71~*m`fR{pM}*l
z%}&CP$3reXh7TP4ZvF!n9J^0X>Q`?lKQRo#0qb!uNc}52d*pUM?C|HA&Qtgsb2CpT
zZ1pL9j?|ars0JUk!|9djafvY7&w7~#Si|V0Ogh|mus5d`{-K^TmI~{}R_T_*lFxJe
zbKp?!_L}#wL}=F0EI4&Xsr?&RIytT7HLNvJJCFxI3rY6Kg{f`w12SL()7YKG@E+fH
z%W3cd#i*(R*gfP$LOlGu+y6=_OgEj)76<=&{a*=5uW{So<R0Ac-O}I#{7fOZEeO`?
zH``bS`_;I(`@nx%PA65vI-RbQ|G^6%PiR%bUxu$lxWHVSRzlk0j4ET7>+s308L?J)
zi<8D~Yxu0kwJqcDfET}$DU5f)QgXlD9^J9i0N&em(3sqhAy;Vc>A@;<bgxPJ6FC#z
zr{PSiCT%j`RPaHk`YAZ8ASaE?FHNZ~ek=ml)!Qh|!;bXHn}p#SiBrlyVc~IC3U>Hz
z?ffW-^QD;H*b284_DN5}X;G)jsbI%Zzn&%7=gnb}4RFHPEx!fWWs0-=4+YBi&%5`p
z!4tZa>PxU-`{qx}u>H1$*(vy+_seS=P~P0F=`^2&eQrJHAmvRoa~;Dld~;l?kOpxL
zhV<J5@Qc19W*gz@FHd;Bz!jUyDHvf@F84>D;moyHne^~YXFHiD_{Q7%aSnL!<L<q+
zFr$CrLsI^Y6tmTo!RbL2ExfSfzk-Ysm_{(ug9kqSC|f%ZzT=WsBmy(EDjv^<3l>7m
zh2at!*{{hkJLi;~GCcdl|7aY1>RkN~MYuM|=Sw8~l$NE+2>!7@OW-~{vN+;kK+@Nz
zclg2yrM5p@VI{+hPj10Fr^F*~!fh?aCvU(T-^w`LgV!15qix_1Pi|F)!WNoRGbApv
zw^}wE&QrQmU<I$FustO6!RsR3Sg!v+ZtVAy{GLhm$wj#0-fy7^nEkHN$@B2sfi#8<
zcpr&592%toTkP3xLIoec<~B{@W%tjlllK{}na?KY;ICC5b(mo5z|vwvxHv>CjMVq`
z%-KHGg;T#CmF9-Un8md$;Zj}uZhkoMt6!NpyreNFco_cZX3b#-N7o58iNK;JuY;`N
z5Q^e`r2fgO^Js|d|C^y>mlff9zg<-%J%dM8z7kwku(JCm+{Y(3OX^R<|2a@N!r|Os
zlrF$iQ|bn8utu6cw*&lAu{Vpv|L`37|M~;6-LI+L;rr_?+JT7wP2O!lws&ydCoLFW
zyEK<e;=98qhe>^DFq<dR8QwOREJ^B9Z7GXCZ^N%&c6TMgN4#h+k?ZGqHb#KdmmW5C
z72JUhHa9n9!+*<0_`Kn@*>LVx@V6_ky#wLR1+`_QKBMpWcGeG$=nUUh0;k#rs)fQ|
z<LX|M`ifv!$lDNDc0HP&)MsV}^|q4ym0#PE)&P6&(e(?5SFMu&Ho@67T>X#Xr(*q2
zKEtQEIL<`FP1_4+yWl>~fwXuyY;5)cSx>|JUIz!szb|Q9Mh9Wn!Px65aCq+~-yiU9
zo8Y16aI*At_ayAH?TmCL9LILVZ64lND4F#Fev!Aec@gd@THBZlE31SuP-8ujw#${@
zN&0qGFB4k$M7*zjJ{<gF=_y&C#J5+9`z1_q<)6}4*skezZ7N(!ZFQFi&e?DvBN6`a
z)J}jK{`t^an;f6*v)BfHSUy~`A_~4O^6cgTcz>p+H93FB7OJ-h!k_2VddT^^;8*wl
zFl-X}z~?T!pLWXV80>VwaE@G`OOJk0AB7Xn#6KqaN3n}BSpwdE<SK&;T-LGmIf=W4
zh*22BjFEgNB;lOlzmDX7crPz0Cj#d?HCQUZ5w}l#CGia9h%PzUFvCrd>`x8d@UCs}
zxqbGH$Ki&c%zJDweO|uv5#qhC56=EmKS5vC(77L$m;GKe4<9HMy3GXdj8;-efD8VZ
z_mlH$Fm2QF9HxDFva<u{KZWjb!2G)U3H8!Or>}7O>ySS)uuliu4N{-oyf<pN6h2B3
z$U^F;^AAGKzk~T?OPNXi)zq3%EeTc_=gT7TjPo1bCcySNow_7{osCS__kvFq9i1oJ
zbKVkPdmFY+_L(DbhsQfh&EZ9X)(0g2Ej?rrGKG^W4?Q5;&r%KAuL3hP+aDqS|G3Qa
z(P>!O-@u2|r)T7vhecsi;YVDge%!|X;k*cJSh2dB)Q`6eNT}_ALw+89OX7N>hu?08
z6*Ts+lI^9~+@hy}&#^0Klj9%cw!K9K&t%C^et};qmekJuRX;J!aWS6c{~wpqC1+sQ
z5uF86-xjz36YvdopS1}m>)F^&j{f-y|D3z>y$==`6IE`6HzYdU9feJ6_7>H_E!i^y
zWPKY3UzN)r;77Yx>L=i?oTDwJu=$yVJ>TK96d$e}_=3seyD8ZHnDv89cvtQ0W^%v1
z+Fslj3+vpP$eDqIXydhF;7uGqsD8rSUB8|Nz)`l{3FQ8xJlxLY2P?_<EdGM$zVEx}
z3`>YsL@dF5anw!M;X&D|v03taCEZ=7utrC+?=rm0MC{%rczR1l_X3>0;Mb!G53BpQ
ztigHLE!5RvpAUfzzu};{{Krx-+Y^1Oe{gbJ1cL<puJZI%a=c@v-zR>qsh{}4^st_s
zzdNbx?$hv_e@AW(z}ubna*x5$>K<Rn^?2QS?9~tWxW~@BBtNt)=;#l^t##JlNq%v-
zX7+s;mJw$TZ-jS^dEf6PzYn~$K+3~+?!lb>aKkaW_zHMgHSObPIIQ%A1!@0y@i}X-
z2X3h`WX*;7MydnbV8soYPU)~{Uj;i!e@exSi?oMmp6o4cgqs6nGs*KI<6Xi^C+uu*
zqUR6a7s^j;hAA6ly~*=sfX!Ho#2JNH4qt;OGwl|e;Ikt`=k?%In`RQp|5sO+{nLT(
z)~~9Nc-lhkz2ory^<BPQ@aoNc@nf)i!@k3x;7$Jarkt=x@tH32|08}DjHJEvSoXR9
z$oAK#w~3MGH9foGArfy1-4;R(_t+ZVCFjF8EIpsJN81ja6#5SD)p>oHybtU;E#KJ(
z|H$5apbtKm?=U|E=Qs1T_Q3hN*0JP#wJmx@H^70$fra1TM(5a*q<#H`tk)&7zrJEz
zc6o5zG7|%di;60;llFqE6dQ8M{>YX@_a(qz;uf38_2SxI9Z1>(T!u%T+hMlm>B%VA
z+`@p0qz}K!6CDXJY*5J{=jZwd7h^wI(vG`^TraNTJUY@Ikgm*RUr&B-^wpO1Z%_$4
zt&!`cAGVv_9d<G^PO60akE`6e4o_VvJz4|jzX;`ZfG_+?{Zb0IYL^6Fg%=s9u6}?+
zKk0lkg9oHq@?XJXnz<=D@SO~|);Dmv8?ClBOd)yEEgQ}}B9^ZTvn8j~ko3<Ug<mG`
zgK<G2=oeBy!9M<rm(=eSt2yek;N36JwH}ARPW*OEh7~_$M<0M?%bo70!^R6cPLcZj
z6wg`FM3_bJsT~unv2~*V1>DoRg<}(ZAilyc0k-Cr^PqyCOHXY{f>S8p9w6`23A-yx
zV&T+#EK{?1pXPbLsVg3yZ-|T`@9+Bk-#nvXCz`U=G1z2qZ4*h)e^)h))Gx{nKIMhO
zp&y(X`e7>9u@jMSn#ab1Uigtx(O3w)`d)ZP2h8?g!_81QzV4#qC%8z;`lBZtB7DES
z1`c#~(e{S7dRTRq!}3ABr?0{ad<l}IKINM|*lrDbevXzQ{adAGa<ymSiR#XH(tj3m
zT~<#A&M^`HodPe0H6)#cOI>amlKSPb=aolK!~fkirGEr#6n<{xfi3^#*xiS9o>Uti
zfUjp8Ig$GB$vl-)3#;lU1npN@Nd5PS@ufGjaNF@nduMn`RBbW`W_4$3vxCzb4!h^V
zE3}V&%;C<DEL+3i>{pzlr2q7Tz>mZT_>bA5j6N*!NO#%?mJ#+$I0K{C#M2kvcHJmh
z1rB6aylx8{-kqRTfX_LwVkJfO6BKPDmt|n%Pd7A-;eI-|kD@TmA<3T0un4`+E@4=m
zJ(}+foOOl6iyv-v)_<c72W=Pb;(-mPUr{Q+sZkA5oN&__+ptrxSV`aa9WXcNc5!L=
zq1-JsHdrjWp;8te-I@8E38vTD%_ac<{HRVt1G6<Y#tXsPCvzD7k^b!NvWMGYTVYH;
zhVPxU;>MR~PZ%E-ZJ2~DWuncdS8zR_+`dZs#}BJ6bo_+pwl8rG!_GVg=6Nt((1GF!
zxQDjn^Gi55I-rKE&$8i?LhcpVLD}gr>A$x~>6E()&#-a$*1<a}=<eyk7sqJFKftYw
zF*^)ks%VqQGWg0Nq4KkEvxD}ZLU{c_v8E1eXY?}p4SbyX%z_&HR3ed%j6cZt>+sQp
z1x+@-$%G@%S@EBS>lA)-B*SY{<8PE<^_0t1WIRJ4o5w|YST{uHAQ|t_RlD><0se64
z!)G!cV%zC}FiH5twgO2qUP5d8`feFGVut@a8BZZUaj)_ieE%Dlnm=saxvnh+moG&v
zk?|Nzl=uD!z%mo}|36-XpMKd-7}k*8M0*SIfP212_+hQ%RJJ$Z@SLB;hu~S!a7SA>
z^nPIWX87y%unsaFB=N})sjcwU@C<>=u#3R&04kVeK090=-YkD^8x1U1l{BLcH?@rD
zeqB~S!I_nRo~$2J5-&E~52sS8Fp=>tE>gLU$uP4Fce*rez;bms5nj*Kcq0HiOr5KD
zfJ^8$YafTV`D~KC28U=YQ5}I-_x<ivhnJYL;*Y^mO0QH^VWIMo6cYce%Oxue+tEBw
zAlqY@>wGBypHhihI0R?8y;Ws|Bj%5Wk?}U2$<FWS;diP(p6-VyC>4^r{-~e0XKb>8
zjMw?1<|Et#8&Fi$u48=9l$mVuHF#H)nZR#&EXVe!BTOG5FFFH1OUT}@4-eUn#Eioa
zyE}3X;9EU?bHnf%x72kNxZsPw{#V%VO-+b8Ts{|?+XcTKiu@u4GwmL`RSO%&)Xd4l
z^Wh78)$kR*!;i(`S?-vUG*~g}Qj-FlC7gdX1#T37?<5JwNBt8f<DFJ#-rtvlKi*Xf
zA?x29;Jw)+0FP<TPY1zH@z<^j!xe?vS!Dg1;47c!7k{gtc+B!p*$3voH)1&t&pODT
zxdm^P9W&^G|7qTwAn^}h7cov0&(H3c(O$4FlZMkLc>VT(NC4csr2oAUev_<w{|>y|
zzVX;Q`0_7LezLyKO)i$yV)*&Nzv5&)9ibfNdjYU*+}KlRn78{cM=-pHvMKo*e5ZJB
z({=d0P`CU|_+vYbmpy!$l5^1(?ypki(1eYmcZ4~?#~dz&sKJi*95HtA&t=X3juHnm
z93%fPy~}J?5Vliu7`K6yX5xaG;9Xfkn&xox4L^2PxGhoegDSkB|57G@3HR67tdTbC
z*Vg_r7d|8Ktv~~|8#7%?fb)06YM+OPDliifX3Ov~Q-Z($;nTH)kGgl)ko9^JAFdDD
z!?Pv-JdeX^rZgU!Four|3&7Fs9kgd*n*RB)!?3i{)*NM6@P6pwW3c3;68C91AyHZM
z2&~0Jz4ZvZ@};wx#J8g7`XFp}`*9bE&!o(|v%;)0yKjiXx1@Ndm|%)unoUCR3xVg7
ze;09lx^-8@VP>ATtQC0b=vsvcJV|k8`3GEk!oiq~zZ2H?v>Ss@&MR1w?bT$6Uv7r0
zgVQO<`a~UW7Hti14o0pXg{v+Y+GfBTDtxphVUIU~{b_I%*LFH#`1pvMt3Ny&Wb&MB
zKkQT5#9d<Fi<u<eu4K?>17CN4a#{kOP7gS11?NyEYLWjB(h@&)2EOUtF;3!^2Q3OT
zVC{yZisX3Ro^(^nz~^T#_LKdS>Y{d$gc~g1Ns{fAAG=k-4|5*>)=sXEbxZQ`1F&l2
z!dDWHF+Io61dHuwbd`rUy4-%k059!xZX@TTz;AkNc>&KCp1XD@Vb)c4qu;P)V9HIh
zy&o|jHT&V`Z0RhgU>g6)@?JP1c84w5Ub%`fQv-axX)86!FAY(5y=&p$UI8WwaM!8D
z#zOdk(XAB~xNUC7i8pYD#I&v=%pV+bFBztL-#x7kZ;Q?Omk7VBJgcq@=j__65e_fR
zii~Q(5%(0zLSgRzenpV{J05(?!XNIq(Qt(1-^J69zubifo}3Ik0~fyE#OnkHNwV+L
zhu?Mc$2h`Poo$~;`h7ZPa#nDh^mFTrux|0~TnqSn`$cv`IIpNc-xyA(;LA0IH(NK?
z8^R`$1D7ttroZT}pM&29ru?yl=f-!BoPh_~FQs0Ak1t#ZR))LUcb~9>*ClNKD#ELj
z51w3w{ptr*MPVK*rQ;5;p5xrRqwqeue?ugF^pb%2LHM_5?rmo{<-2s}0obL*>JVA4
z>+_uJZ7z7Fa$6-S54i;HPVa&T82$E;^2WV<ReBR#mT|C{lvnLW)Gz7a!}^1kq<s7{
zq@YUy*T3_oAmv?DtxE0Rd6chL#B)gbnDN=qei1$t(W*?!$9vSlgLCl9;{l7la9~VL
zzyv&Wi1WccxR9-GWei@gYmp)4W!z!f#BVTVfJrAQ&v(pFZ|#FsJL`_#hby1nF=>Q{
zWwaY2Ve<;F_BwdW6t#N<%&%AK{s9i%704C~vsV}WEQL*Kq|2k>>Tkaz3gC+OMF#OO
zL+mtlJ}hBjOB)A2l@!X#goAj76UcgO;&S`<q{A<&BekBx+2&WO65yX2wBzY;Ql6f~
zGx$of%_;JHGIQ(ly$`!~bbQT%gZXQJ2g7ZF{=pe=OD)~AJMa(hNuE5|;NudjH@qVJ
zwDl$I^FzGQ72YwsYEuZ?3Gy7e36DL^<ah&L@43=q2ea|g<h_GytTj*BzzL1{mrLNx
zCl7v@!ULQP%O7Cdn>R0BhV?zKo_`N7>8!laf|FeHrz+uJq4>Hd93gD}qymnT=B_ve
zQ_g3I*27dED32?^@6#>})xbXUr+Xz}U6CgqpJ20(`?bVix$LD*l73fGW-KqvFeL2Q
z2FrB>GV#DNFZy@4z-~T`uXn-<DO(D=V2;132RLBOtL0Zd!~29M8(HA+BQt-$!ZJ%0
z@=UOBg{lD=uT0aWes66K@2^L%&wYdK*17*J!&j-f68d1?EX$Nx_?+ws$x(O<mlVe|
z+{XCx`w$$b?N$06W@DoFo`9K|&mJ9tbKaZulJvFHJ)Z5bgVjyvDfj_X#!L&$W#Hxc
z9cH(1A1;Iw!veSef;X-z>%D>LDp!wo!$}f}f;O;i4D;hw`1R-7w|1~eU+h97%uKID
zcM%S6&o!!ot+TE^x&(_!{YU>1?$k||)`NXSqa5GDC$@j6y#RZ(UF9l<7unbB&%)y^
z-hR2T!{U~;bMVnr{bMBm*qzaQt_D}VxE`AZuc(>`X~Oz%G*w9cR9K7ttO&EevwBJL
z`^c75Gi7-8pQ`Z_*n{gUojg3mU|IPP7S$PjqyRtLd3^5!m@!auNEr53)(s%{x6sG4
z4#(h(KO)1VJoxCJ|8^gIM_FIZ1J<w2RpEurf5@CC<&o`#yfh;`;cE4klvl00#A=yg
z=R*!o<bCA2-k8bMEcSPMN{<n|)%5e!H2lG<ZiJM-EbQ6?o$!EEu;)cs^Q@&#2Ygki
zC_oqXK00vvEv(^oZLcxxI<!z!1b6>VKBNaX{j$r9hf|uhK9aZ_yAM|!>}zgzoor8@
zHN7$tcA}zXAp2u;w?sSwW{%uZWCFKu814&#5Bx1UYXy6k&7KW_`GoqjNczWOr{Y}T
ziBmUEllQf&x@TFP;d7$_^CbOtE%yRjSnK1CdycSm;oXDQu#d@MDSNo!c=jg~_$_Tw
z8!3;Ye&nCL1eYY#dON{)ruxTqVX4h$caZZtH92gg12d#vu5p8%Z!%M=!|mS&FMGo`
zN?C8Jz#fh>O#i`;nxuD~fFqo)rTW2qrqZFZ@RyWeO7gxNzZ~9k1Rg&BFE$W1{q;ce
z5Nw^x_4_VN?fCui4)`Wx$b%60Z`BYZJ1p}sYtkRC5tcNdfsJEXeaU*2OJm0xsbDL0
z(E;*4-YXr<F+YRn!TJL?Qof%)e>Y?X{@eYggFFwE!n?b^!M7zblN=snXjSWjvxGQz
zk@DTma&4vqesjU*^<%jF(5!hIETk94@(5luQhD_O4msSJ_7wK;k>)9byF`BIlIH=J
z{?)nyxViP<uSEE4jlN7i%>G&WDS00F?DHMUgfnDaMalhhrSH0KIy@&6I7FTYdrF_J
zCcuXsN^g<!{msW9`)9D5O*20!-`5WoZjFKsE&t)$cR0RV@c|FvWA=M?XT#m)EA4mS
z)a@#7^5N?@29>-?oaX}S{aDZE9Ltm|Z2HJ!mE7;lXXY>8geji|r<3QwKt4CkHTYNe
z3xzUxdX>`M22SoTn0^PVj2+!$2J4P|3LxeC4tLgw%P{A^$zhVdw9dX?3x1Hh=0VEy
ziFfMS8gOb2!y!^0N$&IbeF~mBwY`FrS4T{AZ4}@GdOVJ#d|y%XW0i!Jo*twl<$GcK
z#k*qg;kHv(n&4AB??3UvqE!lO9q?tQhbMX9p>eGYl77dHkK;Sxt`y~yJuqWhlo1E~
zdfoIHDgR9;ey7pGSyt!7NO@l9UAL1OKK#=@f|UPXvJPEcm`47m(myl+$0V<G&%zgT
zZ~FJb?!`t22I0t?x?IEX3${a#`$=5O<yJqe$Qm-*1UHsxvXS!qTfP2;2Kc^>A18U9
zyiyxi%Y!}bwDU<^!!!T=OZa8uEmrdUU^}#xAs*g%TkgdVcwcG%?Wb@Ljm^eUI7COT
zE(A_8=Y9GUW>KY;34*zH==>RjIcqEf-QepyG-1>5HZH-{n{XJF*iZ62D)zmvYysbX
zJ8*XnJ|e4AVg{S!|2aAX>j~U7F@zJup4I(^i-eWh_2J&bZ(JAQGpR1_XW$!dx-5U;
z=L=##HDG!h+xIJQ()85`MfjgLjV>i=4+!L?J_#?{@1mlBb?EgoCE>GYb7N`Yh^ft7
z;&7%^l?pX%K7XoG5EgYGaoq}^@_&_n5VkzEz{>_x^N*b2hX1kz|Kx{_TBp)>zz^dh
zVh_Mcy!*8_!x9hKL<C{kz=m>WSabKzfy3}mQ_8C}aELDx3u!-jIjgL(0nYrz`d$Lo
zz3M&p=a>2kH51?SC*Z(HE{i32rP`lT4u0@Jf736Ri)!)lX}E)S-g6R89a>%_={;R7
z>U-c{jhFAMz_!}|WWK<4r_H35VA^Vl;ZJb-N=2I{%rf~&w+W6~uMt#*KWm<P{tnJF
z-CKPYzSr?(YYE&N#<!2mPfFXPVVVxBJa;YDftlzA+Ed~2l8EbSF!iBIJ3n~m$qu@6
zuyo>uZ+GB`%54s0`@-(_Tn4aj%4r%cxb)G+a6Nds?l!A399WiiR~FWlO-v*4bLVB3
zq+qJ4!CVqANbMizhX2j2sGNb{zjiX(0~hNZN+H|-5!Ii@3_sW;Ekm}SLVaT=BYY{=
zE`}WMbjw%E)hW~`)}4iPVbetW?msYf(Tfmryw&HsdB@?Z`WO2yz>EIYF{5z#%l`k!
z@!Ia|80mn+uXk=E^Rx5{%=Ft}v1_v*N&43(V*b{_0xQFYCUEbb{f;$oE!ECKl71-r
z!Mg%@N`9jjX`ie6wL>T$9@E^jM$$XXo%x&zE9!21Xa&dq*QJ~eZ!+Ohu!Oy6nSUj~
zX(H=g*Wj7{2$N^9oD{o1Y5&_YRYwyA@BT8&=>#{kXt+Ow1HaNYIKqNSclU(Ad8fab
zy1`<bsUia5-%3j?E^x;|X$f!G!J|6W6XqW-%<zOG+`pdpfa!c@&fbJCxu;FufiwMV
zKHh+@IKO-B4OhHKvbKT0&z`P%0Ec*nYFWUmO?o%)!)7vd3m4(;wGc_tzIp|V3+lpB
z&mN7D_SM_(H0Lzn@ch49bK%z2?On=no!W}!YdGDwOZY78uaWb&1l}%oJV_G{j?Kv|
zf*U7ps-A}L7UnyAg8wdfB*?<G@7{lCg;UnVS4jMlW{KZ8EEdn9EeGe8Hg}Qs==Ro@
z3?=x#iVsgVp#8gv@!ke`xGR2eiVD`TIblThM_ONsQ4+Quv$}O0RxR3CA_fcazuPMS
zZ(?fAxCqZh@)+%f`TpL&U<luR<FSDQ*6WMOBkR+j2?(uYf{l&FH+sOk7)5xt!*X_G
zM}y%KzkRfu;fqr8zW3lV^^Yby;Fm?EJ0oGs5BY5*z4_Z+*P`Ha-*k@bflHHi#*+RL
z4Vi<iJK^9Zub*k~<tJ6v```eRe|KKOukWPylJs+9)}P7vxCBYX<NUDF`3YOnKXXc+
zCyf`@VKpp$3)5)5qY#9b|LZ;f5ni|+b>lD`;a;;$`g_u|D|uz$4K$izq(A6jcTBV-
z9Hm${M8>zV(+JKgz-sMh+`Hl4Gk?v<`Hfa;ZRmv~JHp<P^BdB2!E6|QCSxQ>u2-1X
zw|vq+#kpfDfL!k~HY;^9{>?5vZ&?k#Gd&+S4QI8V)X{;*eLY2g!%}WkRV2SSL@@^}
z!}1#=xC~%w!N<Eve;HkkW|$tV<1FMz`qSz%dVXAjy+ak_*x=Db#U_%Tm3Mf0EBv6k
z`G6VxEbW><C)~4gJLWRHeq(bt7cA~dJ$DsO`~B2`^zRkd<(ON*Uw@yj;D>ADj=#SK
z&rM#O7Kc^yZzWj4PBP3VrQpML>&uR?fm{YP>2H+Cuhz1LAFWtkApMcd^GYwS!`{61
zjA8Hr9(_?`SiSS~<p|hjNArEMy`RoJ#iT!W{gaE15geXH&q&5^Z|WY;GKU!tntvkw
zxua@p6y$ysYCONM5q{ulV|WGLnx8y61iuNqkVE1b6^Rm~@UM{yTJrx7w~eoo`ApY>
zLX61vA3d1ST8H<t%;l5#@tlYkr2qOnccnYoep62RDw&VtT+G`}wx97#Oji~@S5Xj6
z&Tkd(#TW8$iQSf2Q`k+C^RpH#N_ncCZ2uLj8oxF?_Veix^8X^G=95?9*{Dh{vi)p|
zI5``*En{aliEm@i-rxiK{^C4Bu4irK?D@N}&tV5YOW5~;dQKvI_`QTG`TyG=pKVBn
zcQN`uC&%AoG;B!56L3Cawlst{Y(Jet#v2ST>Xnh}&+Fk#OU8R#b9r{>0&Mnn#E^^!
z`940_YXV1#pHSO`@j2Ih6Ijl}wHy_3Wc<#B**+_>J>TW$9j@>;_jBPA@NoR1_f1$v
zd%uJ*tikHo{Scme#<0Q*7g`kgg~Pfh2NHI}0u4jC2{7lEQXf*DoTKKu^bD5Zh~j63
z|1BP0NP)fTDISyZB~i#dAqi#<`yx*bn@`>m%Y+#ooOneE2kfsJdI8h+aOki6M0+(y
zBXbe_J@uRTB1|X7@b(S-B(%8yC){w2R{K5deUanL1Z*6l__qX3s+(IJginXcJgk6K
zMzk!y!FHK$^5t-M=Ru|}*vsAaa}9h_?yhGCEEkpPQw1v&T-x7A;zE(^P4G3FH<5L4
zpL+Ahdid+raOn@Q-m3zGHn`PlG_w>w-#AU(0>7C2aIOHRTWfpL1=~n&`S=>nVc(?k
z8O~OivCf2_v;FA%3QK>L>v;js3+xT<fhVjveG=d!3xD<u!7AETvvIHhi%{b?*!YT4
z%p*8AfzoUY4vTp}_Yk&xE6zL$Gat2o84SyC&?Ntacje{p353%{q_CnT`Zrr1R(rwC
zR`njsuu&p=+ATQ1YK8ANJZtnv^9KBv;<gU?KAyOUgWxrI%lEW@<a>Jm1!;f20xyZR
zmhXh?o=@-^!@I{8?Koi8oKKDC;XW3<7(O^*d4Kj9I5@>ckr#fFxaqtyEbX?p=LpRE
z@@S<Z+`@Fi{}Al+mBUsB9uf-3m4pRqjMT;99huLK#bNny#W_LPdqsX;4mP(pH9G=l
z-877sfji%;(eH=D!{$U4;gzu~?%Z(UCdNSpxapnN-W~AyQXxidxO%{yVk<1a=X8-4
ztaZ*JZ4<m!(4wgaAJK4Or-y&Bk1p%LY^TghDPS27+XqJQpCCuU^+~j^=tqu`^uaSK
zx2IqsJ2uZtaO)G@pA)d#*nxu=;oF-|J{*EOYvN1I;dUwwssXs}OYQc{@Q4ww_9r;U
zMl#D1PAn4m&<Gn*XkEAh(<Sb-s)T2ai>GYi9<{w+KEUti8y{Q4u|-T?#W2I}V?x*A
zfS0V(1@IPg!vH(Dfa<4AD$FWZ#OVw(U!KZJf~$%KogLuW$F(aFu<vPc23Po<L9I;~
z{C&a9>;|mlkyPXbyB&M=+a10epUCeC2e9{_xe4c|-FC5q|IzY{-iED&-M?GIZ};lR
zy1`<5&Wjqrhd(}O^MXwn&m`-?F{~AbJmBiVgL9{07K^1a^1aNf$9T+6!GdFlIR1mp
zr~kebfy<}#vi)H1l*K*5a76NbY9E+ZrRCZlSj#v!HV}SpR^7)57mm`$llVd1`)yS4
zkk~%aAo#)Los%2jkc++&WP6nxRK&+8(BG>R-bCW_TV&HlVe8BuL2^C@VjuKBhficT
zekA+D8yBRN0P~vBH#x##982Q%u=dJ9335Gpf){HXVV|N)u_S*43ex=(fD5UjsLA&}
zkL_L!6^6GRpDs8JCz{?k!~)kh3hyKNJN2M($!3_5Nr#W*e+k2>oIgMC{OWoVAq0P6
zYn5AtH*54n^TUn37mf|VF{+2C$oC_+`W^o`0$<5n%V&odh5|2rgmu^S_Og=STNwYU
zg0Foje>9H!pWB$0QUX3ubMz4Tp64yI(>IR8x0dbiPQu+MzLf2U*<N?C&%@3cTZQ+*
z9vtk~f5DyhX`Y*5N`F`CB{*MZXo?y3<|@843$u(lORtaP{q)4<dGftaksUdit1$PD
zym*rSa)#@<d6<HZT9kaRwCZ3^#SAPxm^?tf7dj>HW<3r&$IUsD^5_X;R`)3U)g_#J
z16-Bn;@t<|r097=zK2@;A#J7yX6kV@BjwrG!5h(SFx}C&OXT~hdsGu?Tj0+O7m_x?
z3cu`fYG4_mDDf?D^Ya+4Dp;OgWQ3frsm3c+@8E5#Hg2T6YiPcIyad+&OwGF;{_bh`
zH5Yy!DOtQ5W^eM=cnR-!Xt&q}AK9Qap9-rx2!@jKF4Qr+JrQ0Ju9PCzFXe>Et;cZB
z^~q*(eS1wjC!*l4W8NMD@c0{z@KE@KctsK^?`&&4uLr?*2hN?9f<240IDBB%q-!Gz
z@TYXM!2jS}jlW^?aN8bHAs6`5S2kW{`2MBS@lJ4ye_|^sF9QwOm2BaFkz5N6IBS%*
zzzUuYm1k3fpIZF6XaXygsHKwfQ%HVelQF#2qU#*V&s!C{oOEIOOMTx-erLBG7(NH9
z(OW+}5C2?v9jpeAeX`~w<)N8%$%-=k#ABh|06ydvnkWyCu*_UFg||sXY?g&t-??uk
z<zriuWsxY%#O3&cl#k+lSNTQYH}!wclk#z3QRdS@*m~v1I4K`1&PmJj!4K1}KO*;|
z(G2T%E|@08_#i1COJW)IIN`i=BcJVI#rH#NTj25C4c0C&-<w{$&G4Sav)f5|8GA8r
z3q7%gNCqjdHa>rGmj)i%Qm9ADL(^ujL+fLBU%d5j!W-5$b&6euX%4YRlky^tO<iFg
zPP_E$kUz{mFP%FB4|FZw^?}WsCfC2gF&`?~N%`Z#)@$Df-wsi!B<XKRzuxv4<~YT6
zA(Z^SIo_`ge#Z1@<2`uA!|g~tyzikw%tKi8qS@0LSoKn`VmQ1WDt)R9exDorB?fMI
zx9{~k_`c^ZzbM$ldCednUU>GI;~6|MJy4emD{FUMe++-`jAT!Q*ZG2|6XAsd*MMiR
zFEc|PNq_pgwqO*j@Vel1D!jNw<k>^`R;<`u63ko6cshi{nfm=QVb@a=`GGLjb`(j6
z@7=C4@`g8w{i}Kfd!0^b@PyxTdEUr@ovCi$xCy5U?4&7xS$3Wux&d>rN9U36IS*bG
z4zhtc7X+2w!bd((FJFaq`!nW>;IDy0@t0xuAX)!%xJBv>i!to!TqIHon+8M_oQJEY
zPFIufOVb9J9XJQabeG-u2s>Ul(WDA9bF0ua!1XCivdVDg7MaV{FmHKXuo(QA_1#<(
zeB#EVm1A%UyI4F)FZ9+a@i5FV{7R%9#yp$N2jMpp2fwwz^?|#J_QHm~@i)G}#+`$F
zT=3{U_C1~OD*uP(ZE)K{Kpy!X_nAsxxh=55`ue3_7z@yjGQh5)HgiL8r!TKA9qep&
zLA@Uq&K!OI`#bWB*4zG3m}5DaZ4nl75(ycG*OdK=f5Q0!VO*1N=CH!S30O>rrePd5
zFWlEM2y=bCbZG|eP53JR4c0xWUP#gxls&uO4D0wjQJaV9nf3oRz>F1}f0Oil1`^31
zVb4z&ga5#)i&I-Zz=C$F!zBGr%3RY|aJ$ewmsR)|l|^ed+!{j3vkYIWR&q;$7k8g1
zpuqRhRkr;Zdk!z(dSkYZc-Y0B&{#ORcWRLu@srDe>(TIr+%H<>d+GxJG&KTXx>~v+
zI=GHv^{p?w*19OQ5&k$?M(+$e#_w(>-)C1oXX}0)-X#)wiypS2(%Nec3pW=qZH7Av
zmmXNcbEZd1nBn(R-C~#E>_%11?J&cPSE>;l&vHDKq~Fu7w4er039Cu&fK8+(%~jx#
z7vd3HVJFJGTygk6Z$(~CIIa0S_i>m(?QJVbf5u*-_6S@$Q*nhGb`Ja^ehAi&fAyZE
zUzSVo+W|MOy*#@g<|vh0+z#&?h)*ZqtM@mcIYk4TEkw!i!SS+5c~mgB9QDb)aL#kh
zw24u)_sq_8kaz>-#P)Icvf~c{9@zZUt1De_R8M31A=rmby`uyE%%oCH;-VJwwQpf@
z_Pqv&VV%_b62)-yNb)7JKRP_30tv9!{p+(NesiGdX&kJ*_-~2CGd*vF`@+{{KLj0t
zI|?>!xC396H+aAcA9K!Gw1Ri?vFsCojSnhYSi&41U-2D)ztD^uXu{rVMkORpDdAnG
z2HSbll#{sc@jazS;q<hWbAs@zp#lLR*v8fH0y$nmiu3!n!-;agCP@6k!O8F~Fyox(
z5;;Fdyf{4uN7PUFvHcC?C$=t_=!b7O-I6Bf*Yg3d|9d!}bFztS&xEmju>@Wn{@hOD
z7qZVzB*K*f(w1a<$5JN@;^Dvy|FV7Xa#4I*DD0FqtWC~u|8@!Xd+=l9qnYIRw=+*&
z@qkO%{bkAV(YN01aD&;`k4%vC)Pa{g9N}L9w{MHUoR8-wuEALj`wj}j868dG7VybB
zySL)-<gv>e%wdbX%~r=@x&^5hhVc7dy%ibQF|m&Q0<2ZNk}3u7`kqpH1}=(sYfy#5
zwwA=H!55r4+?3&*g=oc-@Voe5<rZ+hVl<@$+$rRH%^W`X%Pn09RywJz5(J+yebKoO
zZgc5g@P~I!hI;OVLlU>|h=QrE=v~|f-z|@=dI+BjlA~gRB@OC+JclEhmIrC!bTiec
z1lY8BDDdAf-bZg3^1pxsZb|=HgOfbFJ5u2OGT!(F*xY#3G8;B4@nD{Vm2J$oWWox*
zmT!K*YddUG^5ES~#rwzLXZ&N@ui$`PDGmLw#*6XcLbxh#QR*w4S9B%p4gAJ$aIhV|
zOlP|9J*;Odq}>X~pEmF)g6jfk<I7=bEls9!;x--TQrLD+En6|X@OwK|3cObLDw)L9
z%gk;(hZ6=$^vL#R7nqoRVAbu9#!KPwGlri3!PD0ilwZS(qvK`gVV+EvH{^KIIHJ$$
z!$|{{TgmzP@@w-$0l2|6{Z0(*_Pu~d7>?Q$%5)J94ga@Ie+cDCFW2q!aErZfssY?v
zwtrXwE*GKi+YYB6Y1Ah9At>DE+76g^#+i}izkgd<|Mm~!{cKpsgXCvpM$h|$aF4EP
z5GmhYd-J%wgzxlv>?Gw?@aFfUS#XrZTMt%PsXc=4F8tr|uZ$eTOoGwgu#)Eqdq$Xc
ze&vfE{BB0DkCfNN%7)ek@cfXiI0ZbX&|RPc%iCT`CC``ri6YACaNtBb#R9ClKRZ$i
z&Iw3x_zBa5Qt-;cwLXoU6R>9A+XhkiPeSoZ4?KBD_opPh_-!hUJdcA*m>wR5>C8s9
zx55t3P@=&OpLSO^!&H6@^@m}qv)hi<z#PHqhJtX*q|QJkoL)n*;Q%~tqjBavyf7sb
z&JXWA9=28j``nok-wT)I1=*7K8OnOT+I?{8+uhaV{U@I}WE&fNMQhjbG`P>?UCLIt
zb@=^*=Ww;)u6ZihC!}mW7LE^5x=RB~WIGy=_q+O`gqFntyx&>7)ROndi)z&-f8cg@
zF`i(!{Sar)7@Y7!K7!PT`QxPJCg8g~%u}B563zXPZrGZE^P&sP?3=plD=gUZr+~aq
zE4a>EH4ry49I$~8{-arLg5T_3^0t8MJkBV+huZ`hXN=(>X5-E>ICOJhoDqo|{<~cW
zTX4rSlKMg)GaXY2`MqJ%RZ_o@|EOY^4i|crc9Qyw)E)JSO!#D{k}s)0n@#)(OM)3z
z%;sg`;`*_@sc^!7GYQf#bFgns94wN^#3~BchIr~Hz|A@d?~lUj&pFnkVd0ylM-IUj
zRg9srB(AI1!v}L7OBIcPX<crr?uBDrA5})eiN0*Vcf<ZN0=D<yf+P{k?Xbgh_SH~W
zZJ=YzRye#gJJBDOU0=Mz2oIiqcr*yEv5FIBfEA1RzIek4er55L@Ly9ptGn<HE;~&M
z_}LMxQv)v^`V{*E_2IiBJf(MFDXst&(jJ(~mv`kBOv#W|NZJd(-SJtt4GSK=V$lby
ze`0>(4FBHd*FoANXVtq8xx%y-%6Hn~-03T=_Hd_`^=t!Nd;gH>b-21gIKB?<4a}#t
zh7<C2m`VGpmCDU%TiEXM-gjkiOYC1+b68(l@i1w>?er*avVi}vO!&WsH_BG;)P?Pt
z*p^89@6m&|GxXt0Ce_+$u&cB0Zzb5=X|6mT{%k86pbGyRd|V#`dz~%5B@EMYH%XHA
z=vo;whGTF+!ShG=;3`)W{e7_Rrk;&{u(ku$*nU`>F4@K%=6dMBxB3m^o!*RhUx!6>
z=nMbCrB?r@%;ArmU*a0z-N#@2XA5%-DKgi=iW0AmSi?b;Z}ZDxp)Q^Gj_`69FK;Ql
zx7X0t9zG`**YE~@rm?(A+S3Q(H_E(*&9(ofJHb4`w}&#|YZXEbcVH9llOI#y54lI(
zz2Ul)x7Km+`P`56fv{Kaj-FUJD6z7T98dG`L+=Q<%t>42KAd%RdgcMla!n_hq_3MA
zmi2;*R=Y&QVCGKQoZBSM`!y^CR*@H3wS}b}FK|DE7eaz<t>H-yi^JsnE${nt=`0+`
z(D|0cPfeWpqzSWE46#3esTNOi%EDJ1)n7!xC3_#=lY*D@4L3%>fz0>155iO*OCle`
zFP;sk^1-U7Do#eja%T-^xL^sN-R-2mAXYHTgcGigJt7nf@25@3-UL5*<W-gk&#BJr
zriTT-h3$%iU8qNF{`8}LAgVVr87|2Z>0N}wSf^=8e}uUD0sc`~#qVeg$xkzSPBBAp
zx=sn*Be)^ySYtdqxM3*fDa`)ZPbLm#xwfoCwl98QZ733U{<W)%Y`@W3T_*x=?^8QQ
zwtsS2BEbhXQS{Wwg1vlNyl=zhdEpx};D3)*_?+QS*~#I#uy5^y=<BfZ?jre@aPt*9
zIcqp}vg%U-oHD49V+jji{NkAp7jLLOe+h2-JHYe~{@F-dWd!s5p|&Z6rS7b3R);n8
zX;w<%*<7hRD#VhC8_E4<Rg!X32)=MaGLqbnomWOjkHBfQmNTS(q@ko!gcGKpay23M
zBjZS91s5!`_WE58%vR~c!VGgCuRB7{pTe?aJS)7RVN1|+*xY>I&wqV*-?99|L5|nM
z(C*@2*jO{Rm7M?ouu6X~oao_bO8Rpyi1=A{!y{2kw&Z-e3H2G2!@<`+tdjWjQNH^3
zaNMpv7s&Mt`Mile8$RG@SWB)?cWPPcOL*|V2QK9L{G<`qOoNx0Y4k~cmN*b>mj#Di
zK1Ce_zpDAomJDk*|I)nydl-KEkO|wlh;JnKt3IEqRT9i)*nQprzI0;~JBgPY2vF(6
z**4eTKZl$1s&r1kBiESiGGLJ#Rw*apg2K$IJb1WtWbrU8_WPi730$q?txV?Ef0(Ij
zs(@u4Rq*YBrx=QU*1+=H4BffmBhL(!THs6T&Odg*QQI0nx53A}Hc4~BK1b|@$oX57
z=FTMR5$v7oEA4~h-WRNGhd<o&=J*be)_nd-3rGCa6Q6{=M6U`mz=L~N!{*^XK90{Q
z;Z1K%_b$QbrYUAN!fZ}7x7J~ER%(;K=r6Q3vZ3FA>+AMkWG<Oc%@NIFP7iZBJ>>oa
zKWTED+XRmfayzZS>-V;6Y=ujVw&;-c7_6E<+3bL|-^3-8`Q*NQu9e)dyHwa#GT+=r
z<de>Rl0I^W<v1+P;+jqJquCTqCz+2eY1Jr0@~eu<13uE9`L@<MN*uoC>>Aw*cRJMY
zO2PA=*2l^G_s!=Wy-vchMHRJVes+)x<1=NreEsxJGJoG~q2Tu!So$q@a2?#{KoM{b
zp4*VzOV+D!zn(c@2=|2FQYZbXgHm%2#_-<m)u+|4OnF?L1<V)p^fp-^Ly&LZxD7l}
zvZJ{eKCSdg!3o~jJ1m<A*9<eZ-h`EzOdgQ+1Ec&)4*f^sQ#_@iu-4hPOTn<x!9u%x
z@KbrZxI3_)qTUlr*mz5d)dP4F&8q4ZIFIrta{yd?gnL{Jwi?@S9R)9qT1!g8k3B{z
zp1~Obtm#MLnwCNBM0ktBg%vV?J9j)WGacqAShhX_=Y>3#%7WPsbQqI3!;7!VRdB0<
zP19lcRb^*q4eY>6;V2Ay@#_VDfj6(;|3=nN>3gBIqZjUFK5$0>uAgpdoP>3gGiS+q
zbp!2{M!(?oeNm%id*y|c*0d<EyDzcolDO-(<=>?IURrwf`ygz#?vl9^{%?BU)qQY7
znXS}rSW<GQ5s80@N>dht$Gg1ix#8N@C!G?o)9-`V4#4dfIf7N;)N_GfNq_$RRfZiJ
zaM{#X0g}GPqwdCe_|CEWjBK#yy_7Hmcu!HE@mBa|s>OsU9BykCOy;MLFn!9mhsPeJ
z^v=K+s3MtNVZEmrF>SDEW3Q?Y{QA!Dj}F)<AUP=rF1|dujjVT5^2q*L6ukRhtWyTu
zn%7$F2hT}=8hQ@X9rafUggy65YDUAqAJ_+6f_11C`^bEB2CuR|MsOm3)Z<66hl^7<
zd7i2#f2Sks?XU`S?Iq9Kpq$ce0kF)(6Sn<uq5gJ1FL+n1eBuFkS%p=Utgri3<*G7y
zzPim>C6V=fQg+gG?uC~Wtv8VQ=(<tb`&eO1>S{-8Sk-yr6&oC7*|>+yM?bE>tj_@d
zZS`B%hwI%$oLS&#m&j~gct@blPI7&txMw-F;Nrpl7v%b`%x!E`hb2_kwKl-k&&;IB
zdPHrNzI{~ih2GaHvhZuoub(E6UmWr|ipYHQmNKJDQ?SaKUzH&IZzSVv2TV;hC&~wB
zYVv&RgoWMJACmRuu5Z#gTn$r1zopy-J9t+W*TSVizjDcXOCk2Xm&@U;FD`R$h96U_
z{;Ggm)>^$7VNHtbQhBhVi1IX9&*^>Am)d+-EYklOC4BMKggv=mWa`(LRxw`Z+fB{C
zIq>@n3h)2GAA5|GQemS9MMuc|c9V*?N6GzWsYdzr7aZ+X-<1Hz``l6=gVlq0ER$d%
z>$;T@xc!+h;}dwLqPY7rd`$2&KS`f3#TrD`<FfJp)*KCA*edvl%r74(Psk(xuc!WD
zl&t?uNAZl2?7zUSdzImE@~w6LLO4Te*ETX9i$>?~oie!8uWO#Hr<UAxHog*0zi*}(
z0L!atFE_%)9wo2IeDrK*mw-?3hdYWJ@4%DRu7h2$tYWkiS<mg+&|`-lm^Vhk!Ur~v
ze(E_7yZ!U(aEJW@OE)dS4ef`jy<xYDWjjcI`8;5GoW!?O52S5|ceTHACI8<n-Oq9i
z?ziv%PX6EP7{#;Wu+0_OgJge02mVm&!x^C$V{XHSmb)U!{d@Luge2L%*X`{pHt>hj
z=`YCt@3j!`w1e3t6qm{Pwdq60g>S+Fk1V>#{P}&&*EDXy!47MD4zQxYwbVN>|96_`
zt8nv}uPC`+z001Ck@fe|>wQD-!w2Y}>yh>HjN2Y_hQT)m#nP_86B4m5G4SqnvF&8N
zy^8x;8=t@zKG$1bhH2fhFD1bns;WMd`S>(D-~S}<_nHAyE@V6&+m*6}0=QRXVDvoP
zX4NEE4FBR{2rz)XqdpDQ!RP!J7PaBOe|sGp;loe&M(e?PEdBfYNW6@a<_sL(J)ZXs
z=IV&iBk5^(PcV+d+|CD+q~P=PzYC_}8wN%5GH}!C3hN(um#1;70Q|9g?#N%5Ms1v%
z%<qq}_~TEF`qICx%Jw_pzijQoOt5fXed#W^MYA_}8_XT2^^_4lm6e;i6aL8E{F51W
z@P13d11tHTsweaHpN{!*@)OUM?xaMVS2xUs)Zb$Cd_R-<_`GZ@*;25O$0F}{SVEDW
z?i9@8|17c}zM|9n=rk;r&OAB*AE%$3)`UO!=jn9AXDmuQ&%zu75et2Aic-%}Q+U`-
z(7Y3tpng$C>Z8J|tQ&h__xc(qQvc;UlYFBc_MLpVfz*GkR|2<ufnP<weiHzD&~Lrd
z0w3l0?^H1SvTtP{Ss&nRO5AVK9#Eg=8Quh+3bFJf?FqBVmLhHN#Wg?49C+iQ!GwCa
zLQ%8k70i;SJKG40NEmY$!!h&?m#g6GP24Zv!rQ{+Ue&;_6h-JOVX9`%`(!*R!->58
zb+D22y*@JD^wrtQ|5{<6ta5%be$|hEl8>~<toa#!A>&tfc71MYfoV^cE5*WsO}<9$
zFo){pC9*z%RmZgrq<tnP=TLhfyed`7Nz#8^X}#kQ>-i;D)W9?1PcFN{{&B;7jj&an
z8p}<1!{M5{WdDr1kBF1;&x#6h%4C0-e@}fU<FhZe-kPd~Hw&)c-UIWNT$1|&Q`|Y!
z#0@iM2E+`&wgn&4$$0jqqh_y1;i#F(WisA<&%1j}zhL!eE}djN{8cqW{&_g5H1+@;
z+;PqS&MN%xYj-3C%oaD!vQE;ku8olK_R5OeY)E?-{ZBESRgA~qT<-jv4n9d|kVMAo
zZ=Oul-VEotm3xu-Wp#P_cH7~(Tm7HN`2S6={?%OY)0ItfWd6Z?#aA6}xO9a-bP`@?
zV9YrPPX)T#e1*GiysRbdd+YXLC1n1?f%60V#9=9ymMAiRkK&_?tPIS1a`Zcyul7JT
zJz5bqtJwaL%m=*iS|m>u=5*%ULgt4Ysj*}{2d`ZA+!h8K%6=I)hrRXgRFV0aUJsv!
z8o?E3LKDe+qYvK)Uzosq?>*7J4gcqzq;&z-@lGsrhPkhn^%}xLHnn@me5jQYIX*S`
zhg;iyGGD48`+U9zETYiEOy+O#MBwvBFxQR31Tue1QH@uZ7JmCMZ1Xv|c&sA459eE4
z{9=*;d|#n(V=o-G8c|8+3*Rl?F!lnbT~XE3fzQ_eF(B=48Z-9-<zVw}bpazdpmugi
z44$P^FENJue;V}cfj#$ZKE?n?#r3Liz{$BA${FEN$@KIsu!x_|rZtpTeH(>17~xI(
z<zm+1aE7O~^sp$`sO%EF?aMxKN_e%uzMhnKxeSlS{^9#C=S3VHXW;4{PQ5=c%Qo%5
zbFivZB+U~1<io=A3D~thY4|(LL7D!Jl%GR<DT+hz8|?{NQr_156MEePtH-{J9E3k?
zzi_h^?%ynWn6wWqd@HBvh9`DgK6?*mQEC=;!W&bl6iNFKSNtoLe%SP{NMRnVzfhY_
z((m%Ir+f~ZYV4ODgcqfr-i(KT{P${-q>mJr+7%6-$e{5g`&T1t5gG{}aL)<-1_#p1
zdwIZ*RF?OQ!KVJ!b8hhP{fwgnFu#++@MSn;!$bv%r&`+T8N*ArWc<kg+f(%Yl!kpQ
z=oiTTIuzx&%fanuQj<I2@;H?}<o%p)+lf0>ux3!d1WE6CYE<MS+?aQ>Uj)|X%1b2Q
z^U?n<X-l5(yJY40$oGHFvUWz#;eCNW)u8AVY~i<a(+td$6i`p%EOX7P<b97KH_9j%
zj_YG{An$`OI?sJdfnO<&WMshOvO03l;GeUx;@R+jPT%7n!`qGD+<6K&E=({-z%kn_
zSx9?NVX6st2&{jMhQc3K`gSgl#D|M7INgP(hF7+P!aHtWE4=};caJ2K?;UM0E<Nf9
z?-(x9eF#e|s&rk2PiDn^kA-~?Myrwf;?viT(J}De)B9#F!u4m*@+ZJ8RoBc(ebZNW
zUpM()Qu~!<x^wXR>NRU}JYz>s-X`_c?%JlEN$}b8&D^9uTPo)wlLzOQ>d}$<?gqY7
zQ!imZ_mON#nB{kBd^OziJDOGm*3Yp!TM09p@Mj-{>x_>MHo%2N#(Vi-z7oHA63?k-
z-b~teELr4z8{z&(r+i8Mo?(*aIQiaE%wYRLD%fM|+bWWu75-AkQNXEFJ}#eN!^WtS
zf6#uQF)2*j1qX;$zgdJgR4f&e{PE9U-)IWnt*z2M4EOM5D~!XM%nZRKKj*WZ82bj-
z#AogN0o$ot8j|*naKmd2BtIt?FaPU+Z8oR=B;RX#wJP)d6I`2T7DvA4q(a#iLfTUV
zzWfnbg;O?7uUEn%uK(lczT>(2{y2aq*;^^Q6qSsuh{_D5l1)Nck*|yh*(E6}Q6gn;
zLPptAGAku3J3>SVrBJ`u`ThBPywAO#JI+1#ea^k-b4!QF^&EHqMtU{;!?5!o4X*!9
zSIa`5!&&`dMO5(Fgp(3vJc<53hYAzye&u``89#F8e6v6g@8VfGM#hhx1nH*<z!b7O
zQXj!f-5U)^`^0~{Qu7`xujWKW+ONQ#SIOaUz=f^Pq+#~n^BOncw;yfov|tI-6G^@>
z-*V&s|KG!bJMTA%pFfk@L*~PV6o(84ka!Kl9t(K**%$d+@Q({upWDJGRo>(W!^eM4
zQj_-jL*gEqNLVb@=z%lbdV=0N4BlbhI^ha?ZM5l(fteT-Jg>s5A5=8&!s!dejbuLS
zyU+0{@o;p?E@Lv^^wY=7TOPpgOH%$nU-j+b7N;bbA#C3G5#nwF3QZ&)^Ydy}BCK2y
zE|3iWT{dVY^DXm_aMC2e8`CGY6~Xpg_LgLPZ6A+8HknVk%(bVJlpkK2{zc|nzR<oR
zo&!%_I&+K6pMU4NKP3}3a9i$q1!w;ASuKF2zT4Qh!BXmyPUQStwauY<4@+EY+)2g@
zmsfb>dSL3#EBDFxTg8I29JwF+CQ@s)!S5bVHjTme{}xs^!vQ)EwvqXUvu;1Pet^yX
zvSiP~UOyk+eg}V+F*hOicjH*Y{f+SQF4e1KK3~7%{VnzIib|O93Vb$0x3V10Y2N?e
zR^%JrYS}l)_CBCmtmK55o=pxtgG+~x@R9juOSuaXWW2J7+y1Q@Jo&s_njGKo(JkM}
z{IH3IB+iHMd8$K+Wd7H!2lln(d<CBPR7?IZiM?Mnjnpq?qg5w!*nx}bIH^B0YDfRs
zz}wTWR9%A&PTCe)!Na!7mRI2mOgTypaPpDNj~=k9)VCyCc#G`e?HAzfPj^d@`CH;H
z$#<>c^Xm>#WWHCy3E4qCc$-4v4l-X$_-ov09r(qQFM(u!S7D}jf)Z?%&B8|JciqUi
z!*m2b_f4vvl$WnFEs=rUDou2~U~z^DAt{(`&6|SE@6yP=(IyOE$m)I?4%6|3@7xJ*
z&Z(gw^R@UCYkc>?BU|>UK7n5=jH&N{6Dy>D<icZ)&%SMgjat;N7sHGZzsxz{K}TJw
zA~;;Njgkpw?{gh(gsr4}OsU|=tIks7|GO3rr<am=KwqF9$@l+r-xN;^zpJ{L+6P;{
z+_%UIw^-eg8iliY4Q!d=MCXUszrY5syy~{Xw{!DS7vbflnlv_8>UZsrWq569c%2L0
z8qsupos@sJ>P)ux6wOEn=?_u;=4ssyAGrDR`d0LZA|nlVaKhmx+#fk%!GEsaWPe8!
zgwhn@Q!|03n_&afA9|$!Ry=XhlmTuy`fXGVKA3FvhHU?tjnAW1U>g3Dmp8yi>T`D<
zhZh7@zpM`+pY*%Zp#h8R77bm7&!5=EZVNj$jp}}b`y0mUNq<)-{Qa*{So)db-CMAi
zn2=;Q9Mip^d=n08+t%|I?qyCmPyX-D`bTADGaSOH#To-^2^XG!0c+3~*5#1po9UmG
z!}^m(&RKBD6AH5;_;hy?e=W><Q}JmwJa7}I08ZgLXq*hYeJPu5g^N`)6cXSlf4#@e
z@E+&nk!bjqX+?DpoS(L#Ap%w((sd-`DSz$PF9ySsTmP*Nz{@k){nugt_}IKYxZptM
zHE)<RQ}NI!e4OU=q9^=&Z`brNZ2R$Kyfdsp@8wO#Z_<AJpuYs?31)mE<!}D`Ze#`z
zHz-}4hG(wDG@pTe(lYmah7CAxpFaq1?U8!^74F_E-f;k4C@r``)^EDV@2~|n?-idQ
z+y5v0%F0#}zZ{@W#(y$Q?T=E!e)*Ko+TbLLiVj-%+WunO7P!Z=$ZG@aeNnEv9!^kM
zqo#yM`jQXSz+X;I>iy_PzGwS%EBSx=i_*@{zu=QW`#s3{NKMwSnt-i3D<@K5mzq1r
zr{F@)z}O`CI%VM82%MK0>lp=8R82FG^4TIbdm`ZjM|+<R!jq~0ygXsb8WXc|*u=kg
z?-iKJU3DXgN8Fj9y8tWF2Jw%=g?UXC*0AqJhlWqEd9L<8GdMCVNN)hPUy$h|;~%y|
z_A4LZ4gIQBTBN*F<Q7uC+)DDlV{qIi*UI<slT+pW%5XA+-!W2NV?%xzxn3;)n164D
zm%d4_k@=9v1#Nxb!WUaa^JU<?|Bmi_4fmFn@sjZmpK^_&CRnhx<jp=f#6-}j4h{`^
z{e+Bn2)OWEZh$@Cw3(CfkVyTX+p6KX;?eD^xSnU*i%&PgU3S0PSKz~MZY|fqZ#McU
zFTg=omx5lvEj>laGw>sCj`l)0==MRjaX5;9$*dUuDBtE@1^c|WqT+=gS=<^Y^G$z?
z?~CDw`zcuMN&mj+gid{bAFijmvEF!COP=BM5WGLCO)C=4<7^8ng(Wibt4M#Iy33dA
zIqX|t<45MxX6$q-x(^#s>3k>s`JXShDaOHSMT)0g;rx%Gw?p72KJgb9VX^Dt+d|<M
zbrAt_|7hRw*y<|0*1{i6?nk!<73O_l#ppEEvvBv}`TK5g^tQMXeYl7B_AU>&i*Bcl
zF3i_;xaAV8Hq;wO=A(b-Tn+bzCv@D83&Z@~*;1Eb?Pmuck@11ov3&jH_ayv>PqM-r
zgPH<e;pOnw8ZsWx!+(g`9e(5Q;Y1A!+KiR_2aiWu4gbac`ou0h6({&<?&hd9_-Xyh
zge@#oy@7(v=NC=4a<_*EDV{$i{|AtlK*N0=R@r<vhU5?ThTqDN^5Jo(kA8-a@VNAu
z!5TOA>?Z%WaA~X1vL!5V{ChX)?;nkAcz6ajl<m`OhRyUj_mc9Pg)&!2|K39M*;{?M
zesj#lTKEGa)mbC>tf&olHT+L8WrH?+i&rm<{C~xJ)o&3x@S4Tm!^N=JyI|>KaG}n&
zC%LfMa_b8%c%}M>c{cp*ll28vSf*(7T{7$|n7()vuD3H)yAL~MM(^i=WogfLko@js
zgK;V+yn9wP=ppQLWLA?Ep0rkEPlZFW3oDu6lbS-WlHkI0_48D)#XTOqEO^F@>f=UO
z#Br*Glt0!Y$^YXM#%HefsFLkV7@LclgD3I5nGAS~6z{+g9HAZ|P4Y*df?n+b_^#c#
z`(*p+hBrNIgZX|P79{y(R81XY3w&6S?PeY<{{EYBIb0Vxv84ol%bL+z2Cx08_9%co
zs6KFHz#)vGRL@}P>|3`|;pk0zoQ1IQo#R(;!%g*@vq+pVXT!`*SSk4jEjhjeM?~a2
z;4J?92P9uDsTj#|gBR-qb4h$5D(RsqtTH1mUkNt^88Df^U5B?Ol)-W3ekPjmwY}BC
zHSirK$+n}gSYie~%uCuM)2%YF#tAj<7x0CChTD=b<Ak_x6-?17)42mqGiabE`LNdP
z7Y%;+6nj1&sULKvDRNY>oS1AriEB^m<Zgtw3K~nrz*oNgRn+gr_5GSDJq#YmJov^C
z?qCmlegmGMep7uIju}2C><2eg|2?h*e^|;7^MaMqsqc%!jJ;0lWW31WqV!Hlc%_Ap
z%>nMId(O@YKkJ>iZUy@V3?^~Iy;P3lWW1>IeE&2ZyiG*j*a*(uzv{^d|6aUCYXFx@
zc=2t5%ei&DPr@m?Vsi0KBxPE*?*p3fU5(qz%RM;%UQsU&!mok~SythY%CD}Zzr}cW
zPuUN6V!UEZ9A2H1Rwd<Ibhh0Wg^P`HCud-_2Nhm?u-g4H3Q|5pY5P7N_=B==))YKx
z6dte%&cDsAy#RmIU6&x^MZUJ7i(lbu7T+%ppg$S%Wk)GlzjU_?4;k;d)f9SW7LH7)
zbs^&&AI7*hka)lssX8(q5};UWx(>Icjh(y=+aH;E!G`?{F;Yn&;}2oE5j^C0olS`L
z_k};xuE=bMdt_(c_`~u{33v9uLRpcDo^VOV3Eq8htny^|Rk%iU&O-|RUcKGL0alaH
zjFN+?l-z3_;Q;NKX>va4PS8u(!l4y0o~kfSo4LOo>}4w7p#}RDe4jf92eJ=YoPy7b
zswi5)J7sTFkoxj9(nvrbPW5W&Foma_mTQdR8)lnt{Rc<)di?+U(w?h@Tby7Tokl-B
z#1CZ|JA1$upJX}?!RlMMIs9Sq)bBy^FqMdN<rR3T)^1r6ev!AP;RVx|O`3?o%YRbu
z+Q9)+HmySN?y!CQ4)9LnMKJ+b$Kj3r8Te$HdlDB+MX$Yl7LF6Xbmlj{pM6is@!tfF
z|478PwgtHHcV8Ge-^?XT;<IqF_J!_VcwIa#c^nSsY`5x%4Hh5hjluID*=aw*DXy9g
z<a^!g^&a=SU^xpF5Ar>4<(_i+w{ZT+<TI@>pNyMc2fTlv?qe++b1XMJ8=j=xXw?X(
zS{rQ0gk{#ZHrB)Gf8S}{hr=dy49NGwr@TFDqv0|N`|<|(?ym*f>u^;;yaxHcI73&Q
zZvgyysyMd^)|1}c<V2P~GjOmSroCLQ;0Sw_{dz>UXX>d`@L8DkE2l^Y+^gHYVgd)+
zrqjKIf3|!2@x#N7aXyuBf65y=0r>2ea<Ou_ae7lBC(Q5lB&i7gJ7RE%2mWvNgKhyl
z7!)?b4nNRuew7J3Bz8M;z@_sGSJGkC1O|2{`1F~n$w%<sKHWqXSel>n;X`;uB3O+E
zR=Lf}7z4}SYiy^3zh608OTOn$p}yiy0h=fuNWBL4hhK`of6^(B+qoJ9zz#u=r2cl}
z`~}KJlJD6&NO;fDBR;nKhO#ltCy{n<BP=JO8><ZeO!#$>#O3$q9#e#M-trES^?UHd
zRm#E&+7b?%;QfbwI?BLLKk2iqVg0<4<3pnGKYyzP@_Qj($L{WfV{C3H|AdW=cVFRw
z!zAvRtiu0Y{`YAs{A2k;>NFhgvT%Y0_M+_&pM`&l+x%sOeb>H!`~nZ}H+G?d9i^ww
zO~Mw;$GbMbyox(=yWwMdlr?|<!u>s%L-rF~cU3um38oj&3~YuAau4y(!jHUU8Qb8T
zO)uY1!|#nxJ$(r~9jsLygZn?q9eEA6pX$jPf@#VuLrUTF_#Unv*i}Vi^K<yklK7Xm
zu+4B})_s^INZzOsW;XawIu51?@t}MH?>V@lbr^Q}mV6}x{!070TM@RRZjVTWGc*QX
z3&GzWY}oJs-nb=IcQ1THJlHlGmWa+z*aq|TR`!I#vM!E$xM9xEr;gl&n*%Pp(!sT<
zA%*^MfRpGt0~|hcW5fk6_uJS1sSEE1bGPeVg!RPwE)2jl3zz@1f<I}!GkgXAIMFa@
z3hVyz`1~3^`zAli1fFYgxmg3ddz`*<9Old@ef$z`l2YEQ2`kp-saC?Kbt8-iVIzZ~
zGj;I&=b!2hz_g_uf1kk(yS>tP!;Dl*9M$lI=~ZJv*f?*zvIOqT=Qzv(Ydv57P!13A
zZl7a^Wz)ZS6v4vEmn<1z-EX!VN%>t0N#2{_K1R`nc(^TeX=d#w#=~_peILOr-sdY8
z;fJFqS$*KmOfN)cU?JAJ1V30(Yiwu=E|JMpz5)l2sOgTvJRzIkc)}(}9XE}@%GAGI
zoMFnLw;sK4h@a(}D}3F4Rk$10Fjh~w2+u^-GB?4enrX|OU>@V8`UZI5>y+6AIQ1Pn
zR{_i)IQRDw96GN5CJ%1>_$JL3rY>fF`UrLvy-?`@Cv7sZc?kb$R6b_~ua>eN4})9!
zny=Ww>S|VNx8M`i$=v5)x!78#Yp^rTP=+PUeS%|W0Gz5;s&xiVNV$B^6D}#4={gH@
z_`TD-0w-zJd+WoZJ))JD;FRGdDkHdhW`4&-*iQ1{X?6JeIsF(*IHRYjPZN%auhKXN
z2SvvPD8WlC+bfLWr{?was_?bZ)$RJQ+b;_PNjTZnI{F0s_2ac+X?VFr`?m%xvVli<
z7yRLD<$p@>!mM1W5ZugE+Mxi~=D%6r0^7dZr7jH*<&E9i27jIt$rp!@uDf+m!)h%_
z{CnU!reJeAn9uZC@J_gCfi-KT6XU@r#aFoDoXxyatFY}!{c~I4^Py=z)3Akc`v+#Y
zs3x0w7S3=Q)~AG5*c=sK!M-2t8&{XHeLVIpui-QLmY<j4E6mBy^WhC&7W8M~^IPw$
z7Q&A;QfR)xNfJ7fnJ`bkl=m2%Z?1ef2QFKG{CNnDdRAN&2Q%kM8}z^jmLF*(z$}NK
zRCU0VpXsAQVfBrg;%%_H<Q#Vd+{_(&ya5)y&q(JEcQeaXSHsa`Q!ySen>M9OC0x4e
z(LpDeStDb#7}j~<{>lYb%kzjWf?cJA?CoLMEH1hnSiNoKhXWk>uGu9W=Gkp@*c5gd
za~^vHXT9ImWCq{&5<3wG$JhF@o`nC)?5&A{zj+@`(1vwIFQ^2=h2Ak8g7CMe{H1>I
zf6RL3d*IaMr670s(e|l1DtP0?=RX}`gTy3nT6q6lsf9g!{K5FEUmr1k_}=HkdHCC&
zSnWS>(W?-7Ggzjy=fM<AU8|RG0Jj-k-#G(Q@n71a1G{_F{nrnhNgfV422+XH{2YW$
z@0>oQ0c*V7kkAEpWo|D}gcY-rg?izNTD`3ba29K~QxmK-xBIpfoU!Koy9G{nvtJN{
zLw_f$R=^51$~L><2ft+AR>4|N>^KGCo449rOJI&w<uG2DGT(Hq49;S`q{I#Hi<?V+
z0vl1Ai#ILdc+IfhBkNCOe=^ztFI|p5SP#2dA8amzGkzJIYJ{b8qkK!?)z^IsHE^%C
z(Oe!Z)GF!w0^U+pl9mH^Etc&lho{#RZ$E_F1B?!k@(<I}kHo>r3q7Ao;T~m&qA1wu
zs({UN_zz>3O(dMEkwRMtHx?xH+=OQr$D^OZ#>oufH{eiS8@U{~Vj#}-3f%r@_(TEx
zoR)338~o_Mv-2771F=U8Hn0|T<EA`#J%;y%C2Uxyn3D=m?HrXdg>PwJk|yO#3+yJ1
zVQT9yJ&#~rRdG`txMmx(RTAvESk9~sKMM(>egL<I1zyvDzguQU#ly#~SY?mGwqm>o
z?!qSjdb1D1LSl#OVqme=OXdnNk3oTT7~E0VP__$ZbXuYyah6pZ2LV{2)haU-eqvVq
zk{+JP4muhQoBcBPq=l^&zJI+9pHe=jI=zVYp>Krs9(-4c>(?Zl5~)!})=wX%Dl7tv
zY55Dc!Cp^J4DE&QM>W5F2{SZ(Kfn$Lue&?6!r}6i-&o+@t5wV-F6p!N{RY^bu|a^;
zN9(=P!GC|?`T7T%##-3K@TkKa?7HJ$?<@Gwk&D}B;X-j`KT;pl4ZSuE!4dMiqe%Ub
z^~$K|ha018WJvws+bAa53Dfnyuc?H;9Y6Q^1AH)y$*LGWc*d#mC2ae+*PYalr~TPJ
zFW}^Ob}mvsCZa3VQ(<{dPepP){PCt-O@iOb<&PG@yLM5JM8Q(&>dU15PpBK;kA%N7
zdc~9aKgHNJ;|X6(R6Ic90|An$SK#YME`7>}J^p0;wtz#TnXi!gnp(qDXa+Ob%X5*q
zR?YcuvT%vvawFNFq18{xGVqSW-2ai^e>{3>vlv<4UV4e_kFmy^=6x_vo>5#byj@!5
z&@OoQx`P1Oo|USG`5o|hLip=+xV=EZnhTEE{75?sZZLbrxeX3ruKtk-=Nl@7vA~^q
zjXo)G)!t@hCU|M%_;yksPyZ5*`?-MpetEhw8BXVZb!rJ-yH0g34*s;^AfC<R{0{t`
zd<c&>CD6~ork3MsX>ggs)wyAKe)OGTHvE0OSAG;$U3>PF?B9*cD*1h|kzkerX>V5A
zHmH#DmMxw?NPVd1vn=U>wNGF0A?-)z?VZO4;My)(=^i*L*}Jk6_Nv%b{R#eO+`oyG
zpFF_GISM~NF7DY5KehRp`~|*QHOD~8)4XpoS%y_FEBL>G<IIXa|AHTjCN#f;eNV(6
z*?{(ZTkVKK6U?_Opm8I-=dyBe3tS&#zmoxGJydtG61HFykzs|`JGe`$VXv)Qqc~wB
zsj#>waN)zY6h2bEV05$)J}OhbE(H6AT$YcAUzqHV6N8yQybMZ!{p0zU4!{MM&Ybjv
zU;4>yQ-&#>lVSs4bFY1F$KVe#z1}YH5zEvYr{Fv;?$?*$<MXj2hH(3pqdC^3{4m82
zazErzyuN4)_iS7_Weq>iE*DdVcSdOZc7~(1L&uJg<rz;rwj<_@Hk5_`%ufoD`)l8r
zJ%bD!^Jcom624RF>L&^}cVE}DffX}ON$-O@m~Z?%3+MY9XY7P;D{c$0fa{_Up4|a6
zeB8Rr2%dIPd&>!H?ajzDfz9)UgSNuzTxq9u;DrlHb~NysM)7&FKOY9g_^9CCYfm<j
z{k^Du%<cO;+S3xjL<3kYT&HFp&MCqu5iDJxoAMcMV%f@I1q-p69hiVGr|f-o8UAIV
zpEU$qw#J{h0`I<SvM>S%oJ`B|gCi@ntUtlLFW4jk;WOI}e+|NaWQD#)!F-HL7rWsR
znrN38xJ2n_NiUqZmhgt;L+jMSLLXoWPHMwMI8j>6`6K)!lJzOcuk5=RKexeCOP=y1
zzhYTs5qSsin!SGiDQxID{iqS9N}S{?g(+fZCYs@moQqeh;mVnMlX^IKv*E@%QeLES
z<~1zl?O53kOK8Mc)WTmo-l%rKych0gzku)8^(OYg7H7@5E8saR**$}>lDmaX6>RZA
zHE0|jRTJngf%WPhGkk?h3<Y*PgM$lm?dD<IhYu;U-~<z6uVuI)GWJvsEH-G{xemXj
zJXMzhACG%(wgLGq^MWQ_I-Hc)SWXMu;U66yk$5_X3IiOnd$A!Awigw8ycxdfa6J1C
z+`6gq2`9`Vt@PtADKF4QCjbXnTJLj&nVmM4h{40nC)}Oj1S3usS@^yVV~a7oxRjlB
z1bz@S%Weu^yirf70lTx%{?vkR?PJ?=0*(+IS2_is))sLg{R>BB_j|IiXzFcR(*O9r
zLu=?D+~t^QV+|juRI3+;>%%(T?co$(4hB*9`Sg$XE^u4khVQ&E9rKpYq`$UR=bhYk
z*qB1*h(9b|c_e2Wto&Q)bs+r5h<=d^HgP&HaGS*64|LJPDf^ryBjIZ8jO|P?v&`Ly
zSopm;?OiJP;z|q$=}*4zZ11CilY*YProf9eVkbAi$D*J8PJ^w)mhNwaPbYmc%!ecA
zPtvT;;rCa%2Mgc}ChWTFFh|HA`RDMxpy$%x;p0>@$4UQp!&@)EdDvwyTV?~iF7x{P
zS2*Vsm3R~U+9UYjH#qIbzR-4<oy9P`6PEkBD9{6Y@-TOI!<%Gy{fFU!wtL@G;M?Q;
z2NvM5a|`K7uqEeQ?^jrhudnYa?5qDOU>VkwK6cj=z7ij?YZf+Oee7lre_;D9^#eX<
zy?NgSSU2@W_Y|xnb%D_scI@Py_znkJ+FsRzzyD4X8-fEy?oMmLX)4FdM&R75NyZxR
z^uM=jWcy3Ey>C{8157X7=zt$d`OV0|M>aiiu7Jy_%giNU<8$i2s$gwn?t^<^&&q>0
zAHr^4W;xs8cFGo}$FN57Z05i37!QtZq}U5PD+V5*L45I)x;N=RZjv)g?La)js7Kru
z*AHzv>y|cnZB^+RX^#&lwq(}97ZR_0JpylgL3N-B9?@sFJOocZ7-y}8y<R+?<ASMm
zHz&P@eSa$0Z-WhP(ln4b>-!!0e{sKapB2_?ggxAA+E(F^w0+_=@QD-^(?0lAs$z8m
zEY~>HLGHKI^r7y>uzO7B9LX0qY6fkrgpICw*pvK{DO|oP3+{Zb6MP!}MR7(f85Wh#
zWYmLAIu__2z|wvc2@>%67#`m{u<m#5ozgHbg_d*#T%k7hdLL}i>Yfn{f9w-EB?fz&
zWt#=TcOz=&1>tG2&UZd=f!0Q^J+Rvs#+z5+7SkA>?J$3>{E90)aik+v0H%)jEOdq~
z@+>vD;6?8Y0ejfLG~q1|e9-%AuPtm6Andvsu3>iGe;QsXt)V7yzc)L*bYY<#($>3R
zi{)`aL3nm}H9`vhsBrtzZrE?P=d=R6@TKbjE$o<9My(FV4LSMK!zWT?tWUv)w{CYX
z&SE~`2Bj4P`07a>zMpV$+6x17SpNXG+b}FEkw0Yvx4%lS`V5zPNoZVx86LzWb-;aW
z>;{+N)70EwJK>7i2SwiSOZPu*ui-PHj<o@BeS`0oW;p8iBKIx$e65VbQ`n&<zVHrg
z-CI~(0)P3ii;?7ac9zbu>G1NGZm!4hpR*G~nQ%+El?UnXtS{B+B*7HEa_c0&d^vF-
zJ_SCS@#+l8?;7d{e4}CN(>8V_KVFZ~eti#4WBBok^yirAC$ocL|MK7uq`#0?ZLkmm
zJJWKAlm14-+o4V`Sf@PU(0jP_{4qWs_(6hbTrXU3gyxPL%y;G+e?MH<<lJ)w?y2$h
z8H3&SeXhI!uTd`C`U*d}r%rhhW>^avpNCz!SKKY(>>Kiqi*S+8*&1tj-`_XQ<a$`z
zUz%(H+x3ZelYCIeb@P-FtUUQjiVki`sxUnb4=A`)kbID@cUzh+EZjo1bqoA#(D<e*
ztbNFE7r7ppem;G76kaf!2@rtyyu~{_u!qkbYBJtnJCJ@$369|3V=W4cNWb|{0{(Be
zjf*6#zf+)83hp;se<KgCq!b8=z@i!t^bf<UAsd~<;LU#}ijKnd``L8);j0N}YmURQ
z%je^Fz|SXsa_PZEe53SSaQ(xOWRgFf?vv2xfv?!@S||C_t-<_;%`lbi)1Y(kT+|=N
zt*}hVsS(m1sW`j(Gs7x>dM}Xt(2=XQkrn>da^?T|)rXG#2kBrp)4#__epTV-6UYF^
z<t1d2{7RJe>jEX55G)`@@~ihrQVP`YA(Oh>x8M^j5A*)cAiwibWetNfALH+%5btUq
zaU}Vc&{uWa--y>8wp_dq@4poJWED1J-=IVCt=#Bu{7Z0ovtM^IY{e{X_Y>~f&L>Us
ztsdsE-tTbY_PB~XSpM3F9SiW06}hb>-%2(UjGls>REi!wgM$x0-AT$D+s+#{k$C@V
z%mmy*XE)FS?>MeH@D=7Xq>=xBzV#~P)Mt23)u*l#afLl^?~lQCEWErV-`e8KL^A;Y
z)QCtOhRu}X9*n>z_1n*q{HosgJ?$sBc3g4v2R!wRL$@E+5E@Zjg?V$2z5EDop*Z!L
z<Xeu`AN6|S;U9PWnQ=d1<No{VJv=JBx`_=w;I76<$_ouVvgCr}s4n`o!G2~`UwPop
z(nTgxzD@dgiYOdL#}?2G>$4Q?*$*dK7&W!R7BYG_<Y4MZr-QFxxiin`6<`kO-_1=h
z*VffnT5zclodRASc)=TMu5}8|y`p{nCA=iIA<Gb+Qa!U+2`l|NCuRZ{4vq!Y!Hw}5
z6C|IacbZsw4$Ib3UiuI2DHl0H%71CjY;l9@cL^61!|}2kbv$69(h@~dzN_{aT?ouJ
znq623XN9ERA^B9sp6|b&!m?BvGj~Z`V#q!h*4Xy=@;&%>nf>nqSUvcQNCvERO~)Y%
zzVt)BI17%ezh9gKkBts8lkt61JFi`-q<p-@{bHCpvHHJs*npvHfjnQ3;(s{s2%e%B
z@*>Y8q;BrKlmgFNI!V5R`C5Jr#>4T|)z9C<PJa&VCgtN(EVq1uOSdsTxCc9_KY7>>
z8!DY1j)m#+^?r@PF+0Xygun(hBa|fHY2Ce(E);fo9&(=KQzgk+)86od7TQZcVW;3x
zWH4x-jGwmrh4mTPgD=4Djc3fL@%&}bY2>gCtW8<)ZyoW~&6WSu;VMHzPFlp{$6}wW
z!5gd6tNtNw6ullN1FwV)H*G@PGig*u3bsEY`rjJjw81}9dEl5~n{`UW{U;|(xk$Y2
zN%AV<q7o0<*x-8F^4(;6w9CVTSl~x`|5`}C_wDqo%?9|wY3lAja0JIU-oM{)zZ}=P
zO7guBn}mp;@NBx~za_Z!bfWqa%o87)Is^A-pMEw2ulilzI|o-)7&}eF2j9PHn}DZz
z>4!(*(7tE7<oH?ZZ+kET4}|_)BKe@!4qvYiaGF5-22x(`-d%}ySf8IUeGpz<S4(Mv
zU*|3elk!&|Se$tcM^lNtCHbxs1AA)?9Q2$?zmLRQC9hY(&MuliKfodtan|{;yU{8I
zDW6pKf+rX5Ju8(#>PO^bq4kIGq1Dc!kFZ0JVObo^af;5M4W{6*qqz?MNjD!S`Kd&D
zYFz;QR5J2bE8NGo`r`~7&bnQQtY1&+Se`Nbwe)y1S-)Ki_vw9beJ|5A*`ImAs#sB&
zFL6qP?5{8{`x$1~b6L=Q9-b4-PG*I7x^AjmfuC=$zeWMy4rO{x>Pr=sehVe66aQU+
z)TgM2=DADLcwSOGElQs6y)gf_@DpY<czb&@93MW}F$t?XR^Q`<$3<Par(w;M<b@q@
z)w0EEAKX%YeT_VC-0b#6br2p8v_B&bi-;JObips@JBK9T^2eY4^uV?XRfptZg|dSF
zW>|AHRD(Rfe7<S_t~Qvm?sA$2%x4o5^9rW;)wTCHj1S%PzlKj3)&}ds&CKmp&)~BW
zK2b)nnuHc*1zhECJ8J=t$fmkIg<t#EUABZ>PVrWiz-0?L?H6HVac7ZySWSV#&=Fph
z|9ZIqejz^d)E(Zrd|)gSZmUz4^MrespX|$ldk=`-3xE%W{d|}LTe0|aU5Eb!UK&k<
zSE(I5LgCo?BE3iO-@O&9;jmf%?uUu6SZam|dA=(wWJ~`5&Sd;C_yAtm)TbK{ThR<F
zB*WkKZhm<eK3%!@MJoJs{U+T#I8k;hUmpB^weo5>ye4U$`UJl7TC6@29@>B6Um5)2
zv6*BD{KW0fjdD2H?48$bSYXlb^9%S3^UBw2uxUWug;#KVP`~F*`0B!=9i4E*ueC{k
zIJ0LUgFFuped4sAl-Fx*+c*q|t%fFDg~wKCZ+(VeTR4f6^6t8mDnDRlr|XFx@Xt>>
zo0ed~ZaXm_xPyb@8Wo=R(`C6mc7s(`6sT$8`$iLAuE6c5_gS;Tjuf*7PH?=p<yZ2)
zLq~?iBNw<?Uss*H4-vQTJmW?9TVrr59~|bOmT(EaGh=&09KKt0nBf8(R}n`i33Ht+
z(6fhGsc&D9hu8m0eR&>s<f-^}2sT(_r?-Z0PURds3bX&D@IDJmYWBR<fTes~>&@Zm
z*yeqw;d<?}l1A|O;l)B-IIFqE%LG<s9%nR#sXPk4>cBVG7^BVLye~Ww`tXg@|GwM6
zAO2fSIsvoZ6m++PW!mi~Pr+rT+deqMyb`L$8gTF@d85nl!COxfkHKyG#Y((kx_Lu?
zc{p>)zJ|P?LN8eJ`Vh=NWX^pHHWoC_5QRS`hYLo)VltI8;;<iI&^7Y@3wJQ>VNO_*
zwTSgG++J6(!~xG+JS({eUktiz!wjE#R(<dR?D&O`j}gwYuJ4b8JxfNzH^F;HUY@@T
zzfy=%-w5xRc};m6*5Ei(_Gb#)8}ag17~J`i*=Yr~TzMrD1b1Y24bH<-byY>daGGya
z?04AxR+YXVtggrJF$`~h@YtNZk0WLKS$q)ofAVkx+5b_4?8GiuXZc33FH9ThV*C+y
za0uM%4l8*6m2H5TeKe)6!k%;Q=IUYFBg$Pa@QE(d_G0)M)z6_Ta8kJRts>ZvW9Hf=
z_<(bbT?%~qepDDa{>iq9JCfkTKZ3*^;6G=rqaMI@mrs|F_kY5@jvv1dyNRn9k@Nf5
zo24QG7VV_zzX0ph{BaF~)4u=mvw(Tq>OTj;u@w~?E#X<|;)mDZZmH}H^1hJQDQ|jj
zn0lA(KJq@1^?>s$Pnd00_pKgWN+B=p0{gSl>lwm5UJ@Dq!FJz=ACUSx{BnJZ4g73d
zG_NMilK1beB^=M^Q>O?|ZFqOY6c%>edsGE>*f&&Y2zO-sye$D!WfX1KhELNbGE2ic
z6Sci3V6MYKPxryij?u@C!sD-mWW`{UV^x((@TD^|KD=<^V)VX)u*CAM4clR^1Fesw
z;hDWBG?-y=s!T>vxU~0kE4kjoV%QD}!5gamN`9feFily?;)8>nm=6Ade|`7)xD}pd
zN!dZ#n`;Ue)L7s{uZ1(l;QJ%*%jn_Sdjr!Q@K2pOAxe0^#X09LSmynop$#z2pe*}a
zQvT$$_V2HFpQ^1iwjIV(DeoUJ#WR_JXRruw&h#|goRvpe0S~h6zda1!d-PiJ4jkRT
zmunLKzQN!LY2P&kcdC!Tg)WWv-Qd1h)-DpaRx)67g@d~)HOJt0Qp-l?;ZC}g9<u%n
z(`y~(@XcL6qrSqEOnO%g;j>abJLcgczy5hWm_=EnZx%K$&X3W8U4&^ImSJ88X_jNK
zh=}Q~Mfl(js$wNrKa)yrBlg$9h%QF~b__CD`-k}Mq=6GsumXo*I1S>D_)MGj!?qKy
z>Qr#cq?p4V*spk#?G`vVZ@cAAc;`87es)-ocA1jAFXS4}R=`D;KXox+8!W3}YPSu3
zC!(~I1-@w9d2=_c<;TxO57&R>R2GB<zAsl%z}e5*+eKi*Kj-C0zACY2^KD`H{>;HX
zk`K3jY2cKEKPjgelKk=JaheWs_*&`Jm2dE;&n1?!@PN*+8_5sfDJ*l#z*FkwTR+1R
zTT~U);9PZYrUBSEv^HN6mV7O)Px7<H;<JY};6C~Acg=AA*Z5^peoM&(*B3D7jASsW
z?}N_uGc_>JR%gZIu&=|TJ7uux62&_m*v@&0zJx5#t{6hD7l&`{PjcagwzjQCu=hbB
z;cVD`i2A)gJa~ZOO%iNz`OdksFh`rd=41Hm)fUb(aL;jxY0}@3`Fb+@JbY+Rplvi9
zITmbb0h{eHrwxTqi)~u4g%?id29f@hAD4$UxxP2QuxTOvtxrNTKkSK>ijKO&#ar>^
zSeU&yVv_XN(t9_xU4cD4d4?{)k22(MxWP<*e*!IFxwC1TeMtP(;kC1H3UALFFZiMs
zZxR`QSAKHHED&b<be3Be-eK*;;SZaAK2&oIZh7}MJs4Ik_d2Kn3ts(aPTIRkl{5WE
z;DNd`v!P^p%NV0WaJfZj<}H}T(fzj+d?Rr9Koso%G0$BB{<4{6j<ly8=OVW4g_~H<
z`IGiGjOArC8J{hVi;#<f<@nMM@WCZ6y^RlH1&;0_ZdhcNDliU~PcPSJhjo)ruq49~
zUnbwNz@}_o&5z;HrB+uOI4`N(I0L@n_iJVoe2nS~YZ@%Z(tl?S{rMKB?a8^Y;K(M1
zKQKkh@iW=5z~a{@3vek@;MYR<5+ked92{<zlkx<vO<ro7fW3YDB+6i$ja-^v;N`lF
z)8u|c&G~n#AAXQyLi-XHPdhTw4VSg}*4M%3PY4FRgI!`$beiBvccs5=uu^sd-D~(_
z;_ejkev!thFL7^R16C#8dbrhyTCWw}S+%>a9Om!Y@%aOM<;r0NGJay-rSh;HzLz36
z_ynevG#2h5%cskkkntBvLC?`nxLS9|YAT7J4RIZSryogpknx*l)y#c;a7r5&R~#&A
z__X3PtbA_IJu?1ND%pOS+|N~6*yJK$-|bx#ld!=zo?`Mo(uetl$}ey#FSX%yn5y!}
z@fmoZ3iJB_SU8ZGavH8#T)FHCw+YfmFTi!@|IWI@jl+T`=HR4zQ&Eoa&^eyIpD>Ts
z3<DYeDrPwlvjnUB>nR}5N00uud*>Q_biGHIjGryDDE0q_3#A+0kmsK?nj#Jq$Y=I@
z*K3mTw}&IDyZ#|QDp@dn0+w79E~Z9&>P5CK8NbWFru-kthem$ir&WR9I`90$06Tw(
z2vUR(EXtM8!FgdmyJg|=>Mg2l@T)wR6lwU-0pV4WZ>ddM92J4D_iYH>3QwQbt=kK?
zX>L*5LY8M#w%P$dX`cAN1CQ10ALN7Q_x%p#f+tt`136%qkVY;6xOkail^re~>gnKz
zf0eF2riZ(?CR^@?&-@zaq=mVyi?{{h0lDs~e;8l==HZqj0{6bGkzI$S%CB1q!wEME
zJ}tq;S;`9%u(U~x!4H^vNIRG0m(mG0eoeuLb7<scVTb1zE>FUbJGcChhI4#OIELXU
zpXNZ4uLh0CMGe4|k2>W^KD#EgPr4H>;}2?9hJ8L#7kq$KWg@RB!qN|a>yY=EDx&3B
zNq%e+^|6h-e_;Jsr9}<a>TPr)@2{lwj2n~unsZy?R2BSr>~{+(Z^;$BKM!^uy>Fro
z?<qFTCGS7beo10G3Hv%~pCa#5NQbwHll;H)!n|q%?DOA;Ns`}Zl#Gu@!@L}p9;E-E
z$WeSg3XYqy-ERSFjAc=h@%tUl^EI|`LWHY-F#P`Dk_YKu^bXhw_`zxquTuR7PqvFc
zBF_UP&-m7o{>hnSAtmy>;C}4dNz&ihJup?_48PR+OXUQ&ihVY-gL!PO-Xr}bv*Oeq
z^86v3$@>)PPe}zo^frS(Z=CP<hHvSeSv~_lN}0Ro1>eoojnjqaFQ4BP2p3i}Z6?oy
zR;bSn_`y?msh?@U2BobI!EpP0oy1Z2$&uz=LGU5XijRk2_9pS-P<Z~kv$j0kpf2*?
zEjXm{;(`P$pBMi74$SnN&ruxykre!27<{dlt(Xr!)H?J#8W!BuAj$)4D)$#h!E27S
z?d))o#(tGJ*lmN87Aq{eZ*NHqY(Z@u^{)f@)UumO0{nZCm0=yGA9N~-g;)BibZ21e
zOT{XQaM`Znwkdetq_89&Zk)|z`vjjYm{v)Fv+wAJcf(10XB;2GDHTdrYG6iD-c=Hx
zZ=9N|gjqUv?<T)@b8~lZ3Y;2rqBIp&4G+*yf{z)V8zyo4)r*I3!h&U9m(t+KVfN=i
zF#DA>U9x`9Yd=)2U?azZVY2?CqX{+VV79o~S7d)bHhLUagco;D>n6jh={p(@!Rs%L
z=Scs*Zf5!i8~nCI)sKuXY%+<x!~*Zv-t)yDF3;;ON&SHLA?$37JYjZAKKTsz{h81u
zQr|{aOYMB%d%c|(Y+#+3A2WXNZl@zuXW+aB4;};flHPq!UD!-9FWCrIy?!T63-;b%
zeESF-n)scATyHi0H<*>-YXO^755p(d_Warnw|;aem4WvKX!{DoQvNb~NP9s)!tjz4
zez%wyzZcH(64m5^YgauON&D09F&<727etTy^TNtP8`zm(>Xo*IZScnzrN(RTk^dAa
z+OWb@!7T%S;Z%llKGJ^PpGpb%2`9c2i6ZTDTIbVEzhU3*eUzksYTRa_^%d@~Ouh04
z?YZ(B`}S$r+-~oF(m%DcIC6OuzG{?`G7rn#RQ>e@zAGepmh?}RJUJc?z^>af-%h~O
zuQ|34!<=lgA>{rwz%g0h4Zq-c`kUMzox?^oKEX@E8YSfZcub*q>OJfr|5E59+|Zrv
z^by|WVmAC94*TN4)&^e+{iNFh&t}=jzJ+tgyco#+K6T3h`PXn8?Jqx)4=nu^sBMC8
z-$;<FfgiQboUel`dmr!?!0Un)4h?W}#L@0NI9Kr+Q#BkxnZ<q+&U;**(G1rguzf@F
zvz!j^V=v%OJO^TJ;gr?8XItU4NQVJC_y~Pxc?awf*b%A#cRgq5`V0rf79J)2y%n`r
zo@9S{bH$js;m1O1p<}S*9<FB6KQJF!7VU>i14Xt|z;B0gE6MSu(BAp!FZw5&yUv*R
z!Ke3j)y%<Px7%MJ$9GY@)06an?%Hgj>mkdhh)s{fop0_%kl$-;l}so7s}dI_i4XAI
zsxP-X;n_whd2&9M`4&_=;KLPt{p5INGpFu(1%G=}{e|q0MeeiDFW~1)Rv~16w<Xv%
zK7~hyq@vnkewXWkh42BVE-7-nH(BntO@=?N-8=LKHgh)Eo(MnflNoviN1p#jc?WLY
zJvKp(?}2R5+Hm-&e&Fr@AK&<{R6n@Oj4zs;&vtGGb02uF=ebM`d_VqNyBi#r^sk(p
z&w;}aZ@a?G-f?H2!xuEvoUGt|ceriH`TV)_=HB!0iSi=qQuvgZ7?UnM9xA|60q<7x
zYSM;ZZY+CR1UqQ+<txF1(OW9Z;IPLo7mmRGXEMy5z(YBkPl&@?vKDQMVNEG#DpB})
z^);GY_>B_lG%x(Psg|V>_NH)8=Z1$ww2Cufnvip=l(4SoO~nG3HvU~11>E_L>2n6W
zHOB7Yk4eNEc1)4=Squ#s%)?b>8DXg~N8c6s&&2jwF<Ee?#q#11%$Fl9n*<A+h4!|?
zkGQxM)8T(y>@jcQ-`Vja39t)ShG#9j-tF}@84hDTAXN=pl`V(H!S7@J(@WvgcZQfr
zdDf!M=ZcBno_QJ#H@9S}rNPWJ{1p%2W4uTICc^^vV$a@z8w(>`;^E~**WtUcwV;H^
z12}i&>$Tf(rO7LnTd?%*=-ZKS6tz=pFwA5{EqW7n%X)s;A8yj@EW8Du^R)Zr18a|I
z=mo;wg2flz;eGQg-PcL^t#*Q!Ve4;!Ufyt9dvUA-d||u#nlJoe%u&}KHuNq{bcg@T
zsd#lB_V04r=?S0Pp&)MtuT*N=U4ZTA!txB@Zc*BA_ApH!mw*nuw|Hp32^=ut6mtxI
zsSsUa3Ky_4(jA3=pR-vx4#z3m`W%K${;~O<gm=bH<sE>}wX0i8!x<a2_{Cw~D>D-Z
z;D0}8?g_&=m8Bv=@LHfF^-lPZr(xk9SaRb|IUac0(>s<Ke%%_8vl;%Wu!WlqzIMZL
zI}6O1(qXXyj&&KhO9OB4xiGpB4qp0jk_!I!`qhm;?YMu>s@APfAm4A&qg{uWRTU2W
zhQ%W2PR+nH=L)kHVEc^d_ut_FrZT=+IEX==V+h`HN<3;DE>~!d8-b||RH;A1EGiy@
z?XcYQI<HT#R><P{4mjd-yL1oipL&e46+Wh`o!Jg^vDV*w1Is+NwtNdqhiwsVfPJ{e
zKE8(c@3@uU2>-sh9{CEETm7V63x8zsr>KTwpC9XZ0S_fUuC9Qif5f?$!@4rt_ZP!@
z-5Xab;qfnO(}l2xtM0>Mc=2YVSvGvh_ZeRq%yedcTPAGcN%<lluAy-cO@ya%tknu(
z<JDC4M{xV5!tqSF@Y$a7dvKct{ly%(q3x_&H2jpyfFT8Ljrlwt3UepqMy8SFTe(wi
z!IaN_NF>0_NhzDJ!F?7-OCQ5bzlPuW!>yk}jqbw%y>=>|@Rr=3PY>W}-Mlq-m?4<g
z_YVAHSJh`*SUNxZ`aO8Ki~6xO{I7djFdXj8-*VjmzFci9au-&9V1Gmp=99~Kdkel0
zI#;L#3(ofIgu$}0$NoD8e{SMhybjNX8R^KwcPp>{4k7XP&l%)k#qrXF0JyV5(SJWY
zAuz;G%6lBlkQalC^S9Msg^!&o;pc~Q^39t3;d9>v`gq{WAu$&{;HOmLb&PPOdXuvc
ztT>SFO%DgVtg^YmOKTDxi{q&8{=x~~FyF3{hy^%x>dcYLu(-JFcpvOiZPiGAZ#C^z
zaxc8Y?vA}HeDwNrhe}v}+0vb?AMeZVE{7-EZ*L{*Uv12=iiXeM`<YJmXGTDuKMLM_
zhf~uNzVYPS8!Ol(?~CzGSS<0$t@E(lvwy$+;1g{H4GQqaw!0yraHPWZz=N>r&rD%*
zJc?X4X>r4!KFiCH^I@PlLB$Ct9?|L!f?pjmX#f2M{R_)SBN6bB&(W}7Fvs_->%p*e
zr`G5Q%$KY{PvSOK8i_-&$R*YM8?b4P+Hw;-I9e!8)}Iri_4GBIGhfn0*8hMl+&c?4
zrmz|&%SRZe$Y#Lw%9hv2`nQd2xf}pn+U{VAh7B_giTlASuel0u!@4D57mZ;vsw)by
z@TQelLWc02oAv`_eH2dqzKU@BaawCqUzsUi9y|>5F|KSPaVZD4J3{co=*wZGex{v%
zd14p5HP%9mY;Uf|S`80;?~Q+9BrNZz<IM$slDMc#j<@(wg9Sb8E%?Zg)K6bN0Ulbo
z@l((*a(vy5&qi#3$75r!lKts<UVZ%U7{;%k`0|kR)2k>cJ_j#6xwoB^U+#H0Jp=FM
z@cMuKq!sEi8;9pj{M39AmmF5(8iT0>&W)4$5v33i)(>9^KW9hkYdy!J<|o*$Oo`43
zZX3QR+6w<-mu4d6^B2dzHo+Vbtc4D+m6gER7qDCarQ{{}a+gqN6+E0#>23zgIoN8H
z!fS<DKP_Ohmf4NPaH!d}I3qa3QT$3SY!Z2q`waYOrb;p!?nzLo)`4Xb*VB?od|6OY
zAC^~&I-dx)Sg#Ii!OH(SI%46!Up`r$f<@~c?%adzN((5};ru%V6cMnV`K@40IM8C+
z`xg9MT)agV7S@-V4TLM^C{D=3)aSc%{D~JjW+Y%q>+QUr@YTK)Cu#UgRCBL8?0v+Q
zRRoSrWj}EVUO9CrS`2PD=GtHn=V^3z@xq0Hb+VSQzVk!l?eO;B?u!;M4b_F;Tj2zy
z23uqJvZ0U<7u??Kzta$wIyuM727eK2zjq40(2$e386L>hVLlEQeUTsC2p`;?5vT%l
zUHNWJ1uxP$9#Mj`5=*Jp-@!5Ug>vv`Bb$(aa9hS%VQKioz)b6Rc)L+qf(U%-N$kl5
z_`r=@Cc^MDx-;Lu604213c$1*|2ltzQ>X49<%3_(`j_;<>+hDHaljY;@*Nn2wKO~3
zHpA5s1Kpjl#UYsq23Vod!=wjh^!Rs<1|HispU?>3in8wbH;VH1H~3oM&w8ittizi{
zl<Ho<0gtx1e}@<JO<%r-=^ijh&cMrd>^3#<?U@f8gRu2!Ub~mD`u2AneXwBJ2ii*5
zIDJ950al<;iKvH{cK@EJhgEWZh*!YN?ank2a9vkjc`NKrai<{^w!41Ol&mjslWO!{
z_|fyU=}}nf@t@9pFzrX0<K%ew4X(0K!N(pazxxFX&}8Y+z(+mk#5Ul3Jlk&U9{Cyn
z4|hN0@Lu?($Dm|5Y}UjyMC!vK1v<wI@Td%zl_>1Qo+4}mw}r)13c_E9@)p$L`kN8d
z;;`Hfy+Sp(h>b2=2;S0s%u@)yp;Dc@ACA7fF0%_x+#r2&56ogU9m)t>US)nqmX9*e
zJw^|I@ww)_8|EsE7hN5}c(7xR3#reRW0un^ux33M`!1L*?u^+2JiL|}O@6OyW;gd7
z{I-Nch7aE5wDs>WJo$9zft_&H>bI&vII=3To7Csi&0}KSFuOmqF}WU&dDMRU2;Z6V
zS|RnBMgO_^8<?hZ(TiLUR|OvMw8G{oX57s1{>5AWD&gbnM|nv3(|=rQ%3&M6ylQ$_
zbME5)r*L;9=Mg6O<5uI@0(gMcZ)g+zk4N`h7Ob8-Zb1XjSgY}6!22VQZ6Mb}_Dwm8
zSeW`4BLyk1N+VSl1HbWiOkG8MP*7Ad99Bwd+W8mmcr7w_8(xyz-LMRoF7CFx4qFBK
z9$kSqmWgZ+gqeIkjnBb0!aFHl;gx8wi6z)z*Zz7Z`0hwY$PDb9y({A!{P5ZNTjctq
z>OW|04vQF<3s1poE+U%Ru+BG`edKzT9XLjH5}p{k-8K%31j$bwhJ_`U+os9#d(LGk
zz|EeTmq>l(A3hZ(0`I$(a%mEduktxA3=aq_Fb~7aH|)i@;dAryEMH*Ohl$^|k@AB#
zi~8YC_uK8X@P~`FMI&(J%cclwxG9HLuNOYel{z*zjPVV}!yROOo6EnY%)(jo*WJkV
zp635*B^o~cX#O%eUi6g)3isim)@L6``?Mv@&CMBZIy9t1&gWtMU!|__OQD=XcG&l>
zHvL&ReR)ls8@ArocETLi@@tJC^{qm)o?Qtx-&Gn;uAi{W(grH<HRIrKGO%ak8uu>P
zK2vsD5njD-V<rUuzR7T$+z*PFD0b1n2mNno>cV-~ENtjtF$VKYazC=pIM`V;g#IdJ
zL<-5rW`+MmSHbdQIjZFTSFitgG9B*F`1XS2WB&UbGE-rV|2A1&gcZ#;t%kve?(7(G
zfu(~7DsICcR}NgWhqdZ1F}uM$gQEYO;Q$5Qw=VERm}0UWtmF4dz!dh7VC5(AH(Jdj
z#_)AP{<;frO|0et75K#M*2Cm}9r{dVNfCbfvUAWD-oRLXY%iQUdG;*1KMVQS(Cmgi
zFIcVFz`=w2%vj(%CmOCg!t|+!c$naBmL_fzuVP4c{yB(zp^P%_KRA15wfGX;UAs}<
z8m@hl!8T6f0$b(C{`})@eLqSZz}|Zfo(s4e+W?ov(R7mIQGckx@Fn~~?4P?OtjX`7
z=MRS@{hKEF=vV+xOdz~3f=w$B4s*L|Vg*;#sHlg+VxBwVZQw>D<8+eGZFv*dt_TZd
zQSv9jvl<k44#Ur1f31y$Wk1|;6@wpW9IYn(5o#5;`Mt18BJE$YKG%X8O9A*!Oo49%
zOc#1UU^~2{KawvP9;3S!y$!y;vj0&Ce4f^iZ8N;HZf4K}-dOtPIs+{6GsNsF9JZl{
zf(CwXtDH!V$Df{kZvO_b{%2jh<oLN>R{QY>mTkXnVG0*qNw8joi{!ZmNxtMbA+~D)
zZns?UGk_)5Zr+=MFD?138Nn10{05V7dVt<zZCJO=>-8{vL7|t2)L+>P9KnO|^Sw{1
zkHLq!TI}AzOhS1Tr(oYYr#)|A0ee4Fby!nFfW8Lq6>u=tf+sG%YpH~vR>-fYzze53
z`O;xdML)OW@X?0w!4%k)_xKhPKiEcXZwqg%U7<FFOK%^@{vSv89Z&W5#{oPcLYZY`
zM3JrZH9{#P$_lBhGAbhy2_Yj%W-2NqqZG;}Gb1BJNVbTwS4tV7-|PJTd_F$+-21to
z`x)oF&w0PE4SBtR%tdoJ;9nSRR3GkdrD}Vh!A@HW>hHn+F_W#a@T;VOu&c0<o^t(j
zxKcd5=^DJ07QZJ0wrxu1I|sjcxRjVr%;a>=5<VAhyx}d(AbK+QIQ%gz`g#rAF2wv(
z8@|D}+}#BCeV=VV2=^vj_}m7I<-cS-3_Dde?(c=I1l@n{g-2vWr3PWq_hK^pVT<pP
z5o7S}sp;*z;U3*@!PD@YbMdEyVEIt3i3Rw<NB8%<a2wx`i;FO$)E*jsctii0x_>ZV
zUCTH#JX`&^iVE?Gu_aGoHnM#yCI1$9zw67X-@O<=CmOS}!@}yCVoUJ8sP}Gsux#7L
zbDv;|cI!zoc$3h>r=MY6-_B$I!M^hrmT$=Gc{7v`!OPz!5{qC3*Ifxm;f+S3pYOxj
zReUUlaA{)-Ycw3&66<UVhwwc=>I5H2Klt4S7Uf{M?F`R5y;Z#er)!sWnZTSb5v3%4
z<i9GwZVumTXWBvHQ|qU4j>*A1=|bUQ@ZMm$-~+I7b;fiQyk=G>#sFWudaLglT>WS3
zrL8cd0kh(3_}ALj`0*aB|2b~?x(GhSdAxrT?)v(Zz6$o=ZR+zDe#6thOyaL`F9P3I
zz`L(sHSUJbnlH}Az`=Ld8c2NJ*n&;+39OPFBQgW;(x;!h0k7!%<z9r%=6EFiU?#da
z?|<;p{cYz=;JrHor|B`j;GV<v)C{(NAfn9%-#OU&Q5KGuEGgXy|LJ?b<p4Z!#(D>t
z&)8yM8?oAr`+dL31~MPw#CNQD9UdB`w@`=a_4IV!!LL<0)r{fj<D6kN@M+0U&n)4)
zGe7z=VAGZzoOW<|d>&UeeAKAR!x_%9y0el9Up|=Z>;_*MK6>C8Jb2<<n-839vV}7W
z{v^uN7yy4udw=>N{NY2NNEm#g!&fc{c6}5ka1Y+NAmbJc&(&(*jDh`&b81~+xm=~i
zMA$COg6bMP=JoGX8vL=j((o+IcD40GHt|W@`xfwGSF~6$tPwEdtPh*%GVLyhU3((4
z4dJ(ky8`N9pIw#zl;D`x*Or>$+Y)Anlwkn{<ujcyOCd@{!Q0m#o#=!4BF~sf!@Qi<
z+27#WrcA|Mu=2;u)N%NotBR)}{MOBjb{@WdKE!xCyue+u;SX%w$N888o;SE-u?}<k
z7`ktU_e>U_p~U=HWA#7*Jsg`6Ttp9taMDGuc47WqCNrA}UX{4lz7FTy_GRLP3uH5M
z=iq{W4{3SfZq9x4^Dx_hovjcY(4pKq41d#bwGe|<gUYv#z~y<GmHWx-cPp8HghT0-
z|0DBv&x7;gT47g~?NO>Q^|Ni0#qhqXGc;OoaY>+X87#W(y^SF}t=Ht10>}CI_L;yJ
zxMT`m5|^4PTEp7(*Y!Q&bsq--7x<b?+g)$C$XEBKC(L`+vFsGQi*NS~nU7SWELu4O
z&vek~+=c09S_>86#O?ixF>r)1^B*O6@LF9Qncw8nS<B@muU9@7@(Ql!-9Nt*exRW<
znFoK=<l*_-iQnr#rIVF#Sd_Zy8vJBlGQS=UY|v9JhK+^q(GSAhd}sYj;cIPSm&V}P
zjmbMA;F-A3dVk=!f&}A8n2EMCYaL!*NRab~<<5J*pv3%dp=->w0650ncM}85Y7=Vc
z3YVsGtdaTQ);zy^ZtyuN9&?gE$QpcggA+Ww??N}3Umh;EIphpm%G=BDhCjL(W!S+d
zZe-;N!LRRWPF;eZQx>pF!HT>0nVg4LLKY+T!2;sD9$$nd?yb#|`ELFAO*H4=36q2N
zO0ZJIqM9ZA^Q&qjnJ=dt=*TmMnP>deHQ>3z+IdrW@n=v9nQuQn`qbhieC^1)od&RU
zTKLmbu<ZK=KNFbyjpY_SnC%S3Dw)q`VpR?{gljsO%1C~p@-W?!7Hs|IsN5A;!+Tjq
z7e1A#`^W=c5~+NC6xM0;XYqpPUS|wz!raF~TmoQ@15Wx!VB5@+8L~cM>AC4$Rd~mX
zYMlr;nvr8&5zg0{uaAV0tbYA4Y?MVAOzKfEPdy)(hf`ljQ9Xx$N!$}6uYb&R;5@0H
zL4V+I^nO_OxYZ!3-_mqmtX&4C`_DnS5LVOeI3fwpW!*0+hWo54eD}hsobg;F-!Mb;
z{H!qisjD)&2CfyAx0iq;c{+_cV6Xho-GcB1v87g$|N1APd^>r)Jq_i)ukbR>slc7E
z_i2IGq~3&b|DkFD*db4XVG6!2(6(;}T%mqEXa>GNSmeY5Kjc3(M(R)OpgKCR4d(mf
zWVHlOripWNz(e}p?>1n)%<I?rAxv<x?Sq4qu!3T2JqxU>mKaYDOLOzc(Zj0o`5aqe
zw+9s0w!r;MRUX^n1Owl1)G$R<`!5bSCfACe77lb8G9>wjvwD4ZH^9BxKR)h)A3uKE
zyb;z(U6&;Jhs<pIl>T;Ly!W0iT@toYXYpKvMV@ie$-xu}e&fI4R;pcrBp-3L$U<ld
z7O;>WA?uR_ckM%768b~^ihW06?#)|{Ou-zr+KPJcb55tMZ*bY5_8WazX8hR92z*-e
z>~>PGqPg>h=>U0sis?O)kN7j(FXk)!EZlLP)SHMl>89y{y~S-ENIv56m2CAscsa_m
ziPW?B`J6Jp9iF`AqTvEdOZ3fmz-DIyUwXp*1;Q2|;dB0;0wf<XS?FJUD_l1belrk0
z8m__60Qc(ptp&k%N4bxGfMw*O%t`$R5iyIRYWU1RK=*z4hr@q=YT>k_kL5}I2d}#>
z=gZ+vsldE=xTIJ;8I!S<d>pZ?r2fOXf&!l$SnQeoX0rb6(5qWzdGJRLf4e;R<gGWN
zui=*^=f4-g30AjkGhwxCFST+wiZiG41<V~~R#6Eb{d$8f4bIr?%181Mw_i)SnFI$&
z8N_~og?BqwK7&~W?N{32mWK}{pTNUm>eo8q!;)tmp2GGU&vp#J1wLNA58-{UWls#j
ze(P!+F>pbWUiJiBDQ<rI9(*}mP;43=j1sJQ0MBn!4qbp>ygZh83vRtX<hKm(=-V=I
z8_tei{YruLj`0<o+P-kxfd*5u{_#{_f3QECS@yk@0e%qwZSgu>lAI|^)=x$xrO0^0
zu_=uY*<tbi7tD_El88|lH*E6iyq*&*Q{pnc8!p^+?yU`c=gfYaJuqkAj=y$rjjjHB
zlF#_fpQ_6QPB3pM`wupyddp@GANV`YP1cW2nLhfV1DEz2vXJ_44ryAFC*WL~Yc3?e
zkt%b={Q&Gu?>$V`r|PD?EKr1n+Y(ev;A49f|LuksKL_Pn!UtQwD(!(!$YiqE!vefP
z2Y-IXc<RbC2QN7AABWch{3o%sDFCJ#=}7np=Tyt>i-dp5n|x`7InwOzJ%+>U+=NQt
zzsA`c5@DbBzpTsPA3fhK$a-Mrmc+Jv*k4AgkE|CiF63q`gs;o^DU$WX`QG-EFJZ>#
zs(XvzM5*CD>9GDj&q%U9Su=&7G7gRl-5Xd7Ul54K8as?%U)YW`llGc*J0f7#Y3ANf
z@b9}a#*y&A11*I<c<ADp|NLRg+A&FzAGgn=+BpEevLbMI9Deh!OWPH8V$TgA^&F`C
z4u!bEH9fQ6NdDi9tm@%2uv_W3CbE8ewrzalDOjl{*<ler>{k0g7_J?OIY#o$=<0n>
z3BeL91`})8E^1bCeFL0rma9e9hpTDaR$6bz{+67dBJ0D87UIu!!$Z9mI$L3b>s|t#
zu(REk8ERN#7gKj399mcPnXEUj+O-;60Au>il?Hyi=zZc5EWO@u$_!Jwy0b>ZZ#Vn>
zCHazU3Sp)`aANe7Eff5P?LMzJ{B1gfmTa%k|J7~|w<d+ok@g;`G>=T-7CE82q&{Xd
zvyt{exNmvn8p)T-{qD}F2<LzF+D7u}lsZ=SZG*$wBd?M5@dheVzgb}G-ksaX{`xLx
zr!RcMeB*7sza+oz_m{hlKjFPiy|H9}(sfJ<`rvEz1~g>*<LFe69{8?F?+eo2B8!vu
zHT>A$+?N*~%JTk@M%o`3;N1=@9#BZW0Mq>!V<isHh?EZ4z^8xkSN{ilR!|h5fnUZ%
z7m$3sgC0J=P2kdDzU?Y7Mdh0oE!ghbZCVYu_OKL#F08D@Vy6ceD;SR+f@R-dGCc`j
z3TPHM0=J7Smzu%BQWLBD;C~V7nU*m7VdDe;!DoFwZ?%W5=Ph1{!;k3y1d;r^P2(-Y
zlJJmc;J7PHPtjh+2j4qh(R&?st~j{N4?jJ6LXqU#3GF#>kqh1&Y@2@zzW*UPnH#32
zUSSJ|<C$U@x4}E^Fh<;k>EbA~+2KvMl4c*lSNetoX<-fJ>aR~=Z;7K;bnx%@r;en+
zpM>|eY=rqXSeLvcws=5K4Zo#b<jRKgt}KcTw&D2LZ}2FC-?u)S>xXOjZP@eS<GKE3
z9q_YAvq+LpB2+f|trb3?EYw2YU$e9RL<6i{zfCh0Ui#1EPcHl@v)7*-&$-Dn!6h(r
z%5Ped|54u^`Zxz3zu<72<Wm|kdt)4i>%BT?3(2>ve*aD(8y1{c4q<?I1Uzppgt;=d
zv5@O)qnCO1Gx$-B^6PS3e~()p@jQWTBe(>s;HRONQXawe4t3Vqa1=*6OC&6*AJ?A?
z=W@k%hQoFib6(_r^|h);^)}4vP_aPj)g0Pd_rV{|Xtdt{1P*A>df@`^)mqq{1dr^~
zvcCfV3RkTm_s9M{5nZ;hD<k#6IQV$({kV&8X^}zyeR%OBhudlR=%M=NNAS}aK?Nh&
z_Xw-wU0C~D8rxCW{f7Hlk}n}LTi&e-r}kE?g~G{ArQw3`w!5dkM#H;K4(jiMcS*$h
zhQryf*RHO$qCY$6)l2I0NVZ7J|ApIfim%^;DLFUH^ur!H6{ckWOp8==dSNEZr4_P&
zrH9upl)<XBZ~Mvjr7+hMErGY0&wG*mQ7ZcA{0!FU;2a_C_v{y!O@b%fkKcL#UsAup
zbRQ0-`RhuK$MX%}KHr7?sYKYw^Q1YMUgZw_INURgeBKXVw@tTUv-uZdA;e0FSAF2N
zq+id%;AKT7d2iUxfmihwEH!S;;s}4!OW#lO>s9Pe#o5B5TUMMs;1Tx#T1)u-e)&mH
zIIw?X^I3RG`fRWZ%u2ma;WRww_lV*e928oxeiHsYTAJtpQ?-1*qyt-;{ortdR|HlT
zG+}Q$nbRbHq&Y#t>InRE*}BC7R&gvBQid6lZe2bDGgJS1AP3K#$s8rm<AKqgJo{nI
z@u}U%VTK~(5HVP#lrdf#{<ALIy&L|~eBN_E{B4iBIuD$g<^NL#p0Dv7VuW|*Z_l8F
zBN9L8(!#~QB7&P>+mDx-CtC3PKN9IC{X;XYpU-~4k?w*P5wKp*R__sbh|$4|^j|NQ
z`E8wnZ(7<>lKN!ZZx8c-hjaHl@jVO|&Zy^4!G{K7Xvq5hGhOjvUttBAPXcUkUdkNr
zI6Pw3md*^XO!`R=!bYV_LO(E`Fg;XLGYSuDEM=1Mho=AO_&&JVOrWtE{-YQy^$oT%
z*=0cLb#n5%ls$*HSxUYk>y?L7ABo1pm5fZ1WIgi-=A+6{Ft6HVS|OaW#VsQYF8x!@
zPu4H1o?u@Kgb(CDT~CDll65cn!1Hd-ZqMLtw?p@O!wVx;+u~s7U)4`t;r`aW;qkD=
z+A)zUaK;bD4`J}FXSW~O!u5+?DkPrJ+0bHk5q^?dJM{nc&!JmBoQ3DQ?idGSdqkUQ
zq!~>2!*$6IX1~+rpaa{q&x{4aatxBvT5#*puG=@@nNOTk;;_z%M;C(NZLL1pqA(wg
zH<d4Zb1bNf3Z8eoXA%l`8?my`z~6r6ls<rS-@j=b|A^nua3Y56|H&#j>M1zTYs=ph
zxOcDnP#>J?%{G}1|2O|@#{k?frJzOP8&f+3mp;M{oc}2l5huq>x4~_vP2)(sqxnwd
z)^~8eh-OGFY}NVSu^L$W*OjSe*v9>sU;%t3<3#T#*e|sBTp@g5qnBbIoIF;cm<k6y
z*Ae{+OS}_vONae#T@M|HFZAp(h=b?0Dtper2A-i|@i42WL*H*WTKk%91Zh9LyKx2X
z$m>pyg!_jL#Yns)*6Te}Fih|EDw&#`Kkr4fLg5!vy_8$wLDs)Q-tb7R-%qmM{*j=u
zr4O7{mt#ocC3+Iv2c6)mJI7Ua!s66!?#^&N+l^<!@Dm&T5j!}krG`rkPTrNy=KzoN
zE_#uAQOPMM|C+%rR6h3daKWB5nRD=$*xV0?;X@i8&rZYFH_xl6!VVc9z8J%@d_vE)
z;5%vN#m8ZW?3nu};Fle*e`&)DCt81<fn{@@EY;yXSE(<V!sp+;jnjZF9w;?g!*23&
z?((o+Xnct+?77uHM*%L7?cCuEA5xwU6N72Di_*Elw0-;DOTf|E=P&udefmTH3Bile
z!NY!VY@48yFx;V4qe|+t(tqSFVut%}?o1=`5wYK<KUv|T7IV57IJ@w|w&G^=cdrFL
zeFG1#>h!&V3u6@zl6c70nCV@K@VD9NBvOAVUh(ThJe++#;cy1L9&C5|A*>PPU6=)L
z*0JJ=f=ACwoO%hj7fy$S!68}H&1vwNxXBYC@ZW{}OC&yXSHP|OCY)n)XZRU>N9g)3
zKX{Q%);|uGZlwO{0heb{EycqtY#ctWaI}t@OgMb+SL&1lTuCMP`Yy~E(BN(hUpMxc
zAjc=_$=MMLm_b6(!XJKqCEVEz&XNy_zXEgB3JsowbA>h7uEI~hSYJ8;>rCC#w}R;$
zDS9;F_luhK=i&Ya?F(wKmGfO{Qg2HoYW9;7Y#Mvm`xLQ^<~ezo>ch=qbvQ*~wrMXM
z%p|#26VBl~Wh@RKUAp8b2XC|3@P0RZ#)SDhiPvRZRR|Y=SDZ3$l6YQD>&OZhtiGbV
zOwQN&0~dp~!#nH(Wp}|8pSJzp3U6TAnIQ=O_Id742h++LOtQgD2506r!uOU(E!bi2
zhLnO0@Oep}f8_c)UTm^!xe4QQuB~p&aNUWFi9awy;WM_)u%@~7={cC|gJdW@+{RYQ
zGXrmIeJ4T*GahmY9f6G)jwO=oH*s5w{x|s8^}a)ExZV>?gDU!9%()i)gZCRw1opra
zxif}~@M1youQs?@*}icZ4sPCD(gKfpFWb(;Y#+R%D`Bo3BSs|tx`}_<v>dL>cU~a(
zo0e&ol$WsLt-RCZeiNJ!eklcBxvcbu<k##vsn!z@t1~4y%)zZfH3@OBgtZVoiSL@$
z@AC?SWkm-Tr(o-z;v*q&ZI9K%Z?JjYm8_d^$iG5{QCM$r?V2Baj9u~77r1=0gT6EI
zSl6RrnC3bKhZ9_FdPcSv4t`n`XaiGjN_^c9=SmoAUw{jSd9^;nN>}Jh%wdB9%PR7`
zJk0mX&lEnmGH~uA-0O3G))3zRo4d0WextLwKp!?we(Xx(*O}_xkt%REH;pB^pSK%`
zoIVWq3i<u3fe%d$*T|FCzsSD!9^T6l9V!c_a0s(iz~#+)%aU+-rC~@F?8QY>DGu|-
zH3%2O`)1xr2*Q^x{digm=NbDh2*8?|=MR$SPxLV*s~zx$m$&l@;NFfkVNO`wU|Bx{
zo*OQG$PDXU-Cmys&qmxdXM{i94!ZafRxCd9fd)2jP3TX9=WlJfPYugyGkTHueiKWW
z<DU<>A6QG<ynsLKk^MUlUks*y9u0p<Te6*m)wH*9J%$rMw@Zz~2PpiC$n&1U^-=s+
zIAZ#i<bBw_-2MCjJi2+di9GMQyp%q5!Z|#%Dx|+4IKm(E8FqSRG!y`fSB!0Hh6@Hy
zoF@H+NA2ZN_3(Qs?x<_9`^24%Rj@)ZGo1(A{J^uJ9F8))mg)pEzE_tkgl~0R;3e}P
z3z16e`LHf+eVH9Bx39e?1*W+dmwFlAdEisxGkAUH-=h~{0Y3Sp%kZbWUwz%-h$Fjt
zufQp~cZNv+!nY;5z!E;_#ol}it}O7LwT4gER7!@!NgIb6PQoUgDqQ6IKYv}l@id&B
zHsciwQ|38c(SvW%r_Vou&6V}j^x^O3Muw#S!7sG5{WzSuzO{k;UM*4GdfM=o))LWd
z_=l<ITQ#^c%Q-O@o_=lo=O`?(fp;T0U+hl)u~vpZ@P2ZC3ugs=esTmpH0#qt`Xl~~
z4s;4|wboueaz4`u9#d6<kH&t<Cg;0kcwhE^aHedSP&-_5BU<19{8)W#f?S`rFZm+(
z!8^pG&XMcW_U3B+emH3QNYyNC9Of@84v#ZW%aZ#^4UJ;zUO1CVbA<x;t6lAd+eF|!
zu0Ncp;E=0Px?*s^i>Ga5{)UH-p==l2aZ*i#5k4+hD<KRAiY3vJ{)W{3|KfJSqr24o
z1mME6a}0v8!`CELa=#u7JLSm(_X?;L%fO8t`}6o<o|2zjhhVzz(K|WdGm7^kNq>Wr
z(Z!ex&elKjlRPgjt$nOxfs2_3Y)F5jo+C(}9d^l95+n01^7VZwjIduxSK?VXpr~+w
z86Hsy+DP&*e{0Za)4^{-`8@34lU&2M7+}c<Ej^@vQ5!7&lM1fox}fI@|95DU7!7Qa
zv@ORQeiE+r_+KNQmo}+Fr2gaf-MiZ;u-y#*%Nqnc8=gP3g6&saCe}!QWB!Ap`zm~J
zG4|YjSh3IT`vOd-DBKYRYu^(*wG0=(34NRbU$#6`Jr8@Rv2RU<|2~yk{RNvVHaKMy
z>zdn5!=GpjMsi`l%lngO;qDt$8l|wwx+&ur{P#{s*<09rBdz}wEIu~p`w^Zt5T5-8
zD=4}CZiO$(tqYC9w!8P7?t#l}IHLyOokgileejdtHPqzwsViF}r{U1iE|)%7tviBx
z4!)oe_<ax_+3>rb<R5oW-PP}gErqWh+KBO!jK{^0Uby+1P$J1+Hs0*8_z9lvOWL*t
z9v$Vd>w;ItX?sXMw7dNF&K7w2@l9QlFFn^+qwyJ*3Y%cw2lvbr=QqLBw=IK6{&iBg
z`nh)E70=h&u-{>+rVsE>&7b^aK7`F><X|g&`N!!Ik}tk{q%OT4mJDt-A>+fHz2-*b
z^U~=@e7)f5nf>qH!vV|2zsdZCgiB!xX;0<9(>nncqVZ*EfaP1F=aXOx{_TI-;K_HV
zJxKokyljhABkbkeJW~q~$%kzr+rzZ_Sq5R&xdWc0y@H<p9TNZVi2t{nynof%vl*lw
z!JdVrdu0ED3qJ|0!OePCl*s<wTm7Q39pmAhM`_Z?{yC-VzvX}xeot_b;}P~H!%qaJ
zdF2sQ1Iu;r{Skx3cA77f_iLN=DprE6qrY9Kg4Op<ODe<RtqonZu=!ripL#G4wWeA*
z{HXMejRCxwTJc6DJiTzffsFT~Ir1lp$oBHqL*_8!ml)Hx@TX@I8!y9MS#<RU@S(y-
z?pNUB3O^5&z;po%3jVNilgW!*_`k1a*(4rcdsTNZAGY<SXCd*B*zY-78Sp<Y=b#8!
zcIolk9GI%<<8e}dV~6m9NIGnoBV9@2Q&Lf5R<GgR)kFLwzBQVBu;n@2KC1HQH5~jy
ziuNVE?*4NrAEqDhb4`G^_MW(02rF!H$w-24Pi|<ffc<;ka>l}cLd?|P!Sa(C22bE>
zt}QPcVU_5G@+dfB`2shI*LwwhTYL!T(6ak<z|UgNw+6v0*D7p#;j21&n?vAQMwiB6
z_;ndumpYtwuwY^dz9D?{sVb~_XgTNyJQV$ISR6i5<ubMiZ?gWECJIZk<ps{c=8?KL
zcfgM8vrY?e>(d9vIN@KJ;#;R-Et(;II@n+L^b&c$EvF?XXy7!n`wz+dK*!4Us-*^;
zUpcS*$o#;!(3U%YU^AZYydyBP_wR*Sc%63g!5C~Jd7^9@F8Z=ldJsOZ^(5*Gd_j(n
z`#ZdF=$~mH+-+xALgpuWE(zAR!{55Jqz2#^zwo<l@Ug2t&E)tfvG>}%gPYnc3(4_0
z<ak`F5?*S&XY>iC>ADhE1iO`bH-3htbw{n<!0|k<Y@1+;t}QK@@PN#{FQndHDlPTd
zbXeu^BqxcF#<lKkOooN8HAay6mMx*V_Yz?Tp5Nj{Ftf|x+GBX9XKPXk9HVow_91*B
zbXhqUE-;MRcNZRIY|SU<%U7Mu$`ClkgLnQJEb-v0cmUkPId|a&Y|utq<^%s$I*=R<
ze>PGUc88}|DA^ywW)FMjT;VvWJq0BGxk-W9%n`QRHY0K$o?g?RvW3}er7n`|qw{O{
zX-hcw{ai1(KFr7aN6p~weUj`~;b1x*LnBySe?0UWoS4<fWeDF%qZW09spjc}wBW8E
zB~M9wul~l>?HcgAvH4yS-}6{6x~UBR)=JW|gabcHvM9pW*V;o*5J!0U?1%6A+}L0U
z7bUH3k%EgRUn!CKI=ZCeo_pYTcl2`9VAaL`&AZ^3tm`u*zBef&<+cNUXwPmX3)8f;
zP_x5(v=2Td^<HRogj^Wm-Mc$jNIjSl;SLIV*rW1~E<3C~Ds`C>_AIzlP3oyuQq8Qb
z*JJ*G;l)2%_$Gz6{UV&jEA2`T_pokw_XD08JEcqNxvn`~l$?Nt8T#Lm`O=$XGPj3e
z?Z%}iq&^GHvu8hh;qndc%>SQ{4S8_06V@>f)M>`{<Us1VkMPXvwW=2Qa}BjdJ$z@0
z{{QuA1^9gPD&gyAZ!i^OyY0JJ`Vv?%Az+d`A6UJ2c;vzn?6YT+VX6Rw)>m+_&a`|m
zO!K5y={bD7TQ4INKF_v5l?+Sq=x7DN^V&C@V`0A5R~2Nw{IO3N#Y4C+G5N169RKIo
z<p_9>^Is=YPvuLNlWZ8gacyA>nV)ynSWmtM-}<e2(;1%MDRSv1Ts?VsryVTNUDV|X
z`_M;5U4q-&#uGeXVf)+C)^Jklbp~gcJFoQxsh1x3F7xwcSlX*r%^Y4VI()<iHk+m^
zCeKs4U!I#Uz#}~Cr%uBHo42}|!}^7XJ{ZGh);fnw;bR6!pn`YB45b^w3#<-b4B=a>
zLRa<S3mj%%TJV}}>EJQae&d5V9oU<aI#mN!xZ)qK4rh48u^oml-OQuVgf;e0_8){l
z87C$v!*cch$7JDSQO&F>@OW|u^M9~(M^VlJSdf8wYB&6*nL3ule?JRZ<_W-dj<a&4
zzKi7FCB7Z7r`Xol^6-p|$v6j`|KIOpdtp)DkgCnF^M8A!W#FO5zk+GtfG6~=WPL}=
z>(D>{-sAZ;z@sJwhiI&nufe@p8-|5oo-EPFv+%$h_C_)IV{nqiG<<1n(T1!S@&0n4
z`8)jX^=h9WEZkiXJq(W@?YmC;M;9taFSo<0MqQQy@V{kyxi<K$Zr(pmSb;y5=^bpx
z`gDvJeitXyQvnBDat|cyS1#(6s~5o|j2D;5`jsyedRyPXsci=zF~NHGe8*nEJDzUw
zCG}{sE^%f*hv&+Nxk-P`U!(7LI4soa=|SS<AN>8wLt!^{?d=S(ZhGn?Z&-U|evQ1J
z&+bzeo^VBRWgMwj^D5l?z$I9h$tZxl-#ZQIjdt*iDnCCp{NhRNWlNYP=X(?l{K(Bu
z?i_qwH%prIFPSZ0GM#{fUkh_lVf!~v`yL%wB<)AxUu?H{aX0r6y!iG^0$K0Fy1~>-
z2_E3&JxJCA9eFb|_8%;I@k90sTq#waEe(%~-PQdGZ~yWw82@Zmc}%lkW)Z&fu*`rT
zHg$||pM{gc^(r`Fw}S^Y=Hc>-5_i~P%cj-u<FML8LrYrt@(;--GCv@nbwG3zTrn_Z
zHv&H#YkIg|hx?bb&zCV+b!XAJRd^)ifETH+qw{G%eg;l?bHeI7+<5#G#T2Y_dGm&T
z*uUn&<!><0(TJ-9aJJc5xgq$CjXHBDJpJeAvmSWeruJ4hT%Y;Fp$iWE<tae=`*-bb
z_q4#e+<&4!!P|}mCpW`w%<22d|4k_@<$IOG8e{jlT3|oMO0_chjFMUrsn;_>e<~**
zrkltSYk*r-E_&v|Y^jzFm2mgDwb67~>qeteHEi~VB|8;1dEwDp0@Ey{b0@*up7-mJ
z@d>|u?Z{JDR4#ZbA9k-lYw!rRHy=M+2=6-Uvm+Y5WAb2?#9yn-aux#NEn;fl@?dW1
zp0@$;=b&l7SMcReE~4HryY!(25|1@_pYZECys-5B9vNR*-%+q|foneOqbB34<|hs!
zSK#8+&g29*(TDb-Exdh+cY87%lB;~~BFz8bT^@-K3l;Q#I16tpq~7xcj-cg?HiH$)
zUe-K-m&FPxjNoe8QMre3$J3=o1DML=b_a>ivVMCcrv(enRA@%R7p@I#I0lE+ogF3P
zN3UKV$0M-X`3J@!utHd)tTNpCa_=IE*GjTDJd=Y3E?d~&f=_)bbC7|1cC6Bn@#*`0
z8;%OW$>O@RB>wHGV$8T3mQxrD^?)hp|9Wx5`L{Oz^MpARjn%nepVh=CE^y@T)f^T$
z&Z(U78obf<oEH=PNdIJp1MKWWIZg{3&p7OKf)!>i<!plQ9iS+`2&Zx|^Zu*F^|!{h
zkBqNtUigfy!uI(uKU%>1f9*c`8}>+gbHo~cn)rz47cBZtW6%WNwpBS~3Lfs#H!z1A
zd*2vNz};3ub0=XvyK|L8uu{^f)oEDMs6TiR_IT*JK@YYlkg#rrLmxSh8p3s7bHzWx
zebcJ}BwlbK*EFUM4$NBkqXTbR8?mZ^cRTq+sgu{w-EAo&+fAHlNW3Azm@lRTcDc3u
zTp12>Y^2VELm!W^tH2MCC7TVmh+i%s@#+*YdZjct-tM%p5<JxYocbj!Z`)r>;va&d
z1}+J3b#tY>EF3!jLopsMl~wDMfT`^gQlsGwwY!e(g(LM;T^_(Dk5fkXz#8K}2SQ;p
zJwIdee;)HQajC)Z_V5jh{P4s}?QJ*VK8H@b-EdCR%78Dt#%4sr4bQ%Ot>ppV;t}%X
zg`20&ZF7US?tR9-9X>tIa`Q55V(ApZ0Uy))pydGT4@~Z1f_K^Z7M+K!<#S_Mh^Lfp
zTEPu`;_`H`q3F+96ZmEFY&wY-nSaPHIs@NaxTs0uNfTn11odHw#NDNv;H4?)IbGP(
zEba_hKm6Ts(o_Rp*n9HB25eu@E)-OU%T71gE@8XI52yPFVQQlrePsU3aQ29qBCIv~
z!{aB+l=ruOKYW29acTkXnR;a=1qXNp2z`g;e%dwcfiJ!lk0J4~DRIpQg0R}-C$a-@
z`AM1$yzn~pku);DXOcPDumiTz$~xK&r!S_<vcZ3cbc;zmTkOh%4J`2Fz0y;k;I-b9
zj&$%@{ZkDjo^3}fO|c37xgthI;?HyWi;n9x7~l0&y4As-?55>b;fYToY~}EGxxD8K
zFn4e9Z8Bdu`z2NW2fUB{P8Eq4zn!_7G7jq;WciQ87kdU=okrmbKle5gFFwq4q<;Xe
zZCO=)4fF5Rc+n4c-mn-V^ToTavaxo+jlaJdzJTXGioa}yYvP_qkoa+h^*U<<oFmOg
z@&EX77Sli-oG9x1l*EtOFMc~-0pFZlV7d>#YF%M_3-jn0W|H`EbLvO`0(e2DW+#as
zZ<U_X%7f)7`O8WCcu)+bu3-9Y;d^hx!k*MRFX4z~l}jXk{H0)^I03#Qn)Zdncl$kQ
zZpFg|M>cwq__22P(2r>NQJnRRGyJ`jvGf5P$x|9a;>X(*r}l)wR}<OSF2NlK4a<Vy
zo3roaOyR|KX%RozFOoCeoV=db@z)JF#>`Q}2&SaawQz%z_f!<0hSLv)i@L&|XPHmy
z!M3VSj~w7ggR>3#@Ya=OF<aPy?jPk5_`~6^k1gOFo}+H6@VjC$>$C9Nr%|kmu&DrR
z>nWJ6uQTu<Tvu!zdlH_i+qFvuR#DTY(Sc8iTSm*l3Yp7sny{AcVv7)5?Kw(&1YY_i
zsUiYv=%}_If;l&P4DN)>6!#sLg9qQF>+gcgcPxIEhP@pRgt5R{+7m~_;0Fp9*V*7o
zV*>^en5pzt90RQKTKzgdte(@pg%PIj&Qs-spFLrJwFwT<PR(YA|CK86Y=#F1BGp-8
z@h|14myo}4D>^ur9v<G&->?GHtWw_C3>WHi+x&!cKCewsz;VU@^(??{#y9f+RpWVL
za@B1bmOSafzXV^Hx;;Kiytq2`8)jat4jhGlvo4>Rh4phjEt32asg9ewrs1hQTcf|i
zUru_h^~1&dyw^uy=aXCNd*QI<Q`^75asjJbYhX%!J%{hG;ZRIZ6>RBuYjZ!Gano<-
zD|q?V>2oBX<&?6>R4V+NK6tekKDc@5X$br`kF|!hf1{RVcZa<G&S6W^{@A^fAy#nm
zF2h)|e>0bOj4WWjgPw9^|5gLu(yG8g6<60M;KVOc?aHwBo`-Qm@N5i!5I@|Tt!p&}
zr@7D=@WHDW9sUi&%%A<JDd51xZ?)ujEsI@iU4MuE`0A<^*&l{XD)w>MCFxZmY5(y&
z)$j<cuwHqRe4i<^P~jGs|HSdMNjSpg;jbomC$-s8^8P!9*c9Ht@syRZWdB|miBadn
z-<dwjk^S4On4}dCe=B7OBi}D*YxVXx_zpk22>E{P$E<&Z!j3+j^yK(|Fbyvah8NTa
zQpxd&7ha;c3O~vDvP$+RGDf2L3Y^$B6hrcfLY(SeSi-7Q?%w46R(Ppg&cVvJJvh7J
zEr;W@PQV+SSO1dtTap;st_xEc{eAoyK7R6$xg2~sI%%4`pM26?VHue9)05zKI6hl)
zp|lF|L#nD+a(=!yekEKE-!ku9+lcddW-vM2AHH8n8MqzJQBpSch3B|O`M1JdwU6j6
z;c*+D5q5YbS*7bNypQd#Ke=8M73{M0;MbiutjYDY`xLjg4(v8^W&^ptA{34o9fE7m
zH4c&dr9;uHJC$Irwqze#c%hDOMI2V3q_o%q+gsp&yI_H??o}%IChs-rU2vE5O-CB|
zYsbO$o$x)EQ*{6Eed-EZ?K$D3#T8EqY~K|ARF)my|E!sP8QUxGOFv_T6ZIYM{DlVt
zshzgKw04ICf5A>!v3=BV=i#2{-|)GQ+E*!HmooPja(=y38Xa7&g!35=kHMF1YhNwG
zsT{ri18~gBIgTGNlY+etIbX!o)V|Na!gR8e<o7$YGI(MXUOri6LVlmV+Whe$c(aO8
zR3ltadD5sC=FjM*BKc>9D(d{*Fi&H0QVr~HIU3#yC!gKL@*eJrZx?KW?~G(=y@9V%
zT)$rfTgHl(6~X;3uA-H&-nZP}FJa9cypM|DprSn&)8Uk=JyQ8_VD+m6l3zET*%9{|
z<}K!8dIGbB%<NBv58aME77FhxOGr$FRi03mgu@I?wenBkU@_lc-Y~VQcS;nzZaHl2
z3+Fv=-W&mUhq5VLgpK?|-EPArJy+6gVVg5MU*3QR(+qetV7Jn7RyX*-rkCNz;K{)>
zHAgs;(tCq2e5%1a=K>scx&DeM+#tG7;}k4PlT<v1{KzM(?D@KI{e@wXpD^EJ)#J+W
zK9LxgLYUFuP@x?B!K-DM)R*g`%paG8?N+ZCk@{*Ks>Mco;8pX4+E`di^Y*L&yye5>
zI;oGw+kDq_2OOxw>O}HK_fcJ1*bYnHFiG`-dz(Eh8R5vCH#mG?&s)<HTVSz4-hyke
zz02QNYS`+vlAs4XtL|z;3Cnc#S2@A&f}UnhSKxVllADF(ubLMNcum4RJw=(9VUHG_
zw@+csjiFnE;De{re<Z?M9ZSxnz8kOghsPZ7=7trWQn*9p<%R9A@)^%bQV;Lz)I7&h
zIr`u4r&3A%y#vzyBfsH`X&2S=;qR@Q;)8H<0aFxdPvLfGxgU1_8MHSK-uon3xej)D
z#o${4vnM`dsDZ;&{dSP|r)H8L&4=4gUS4?vSLq+g%Z0~J3_c|F^v1L4cfNwtpXhDM
zfv+=i&7{J%)D_98aLt1e<0P2gOO)jmEX24hlmNS&c$`V<>%|q-K6nH#&#m*2dVDqC
zmn0sL_7k0_NdE5m&keDmuwuGg-9vc1M{;8ztmoz$cLUDYOXG9{?$!H9NAiJJb}qTt
zz+#n^LgFx;|AtLYu#u8;p$NQ|v!C`nyrg4VOY)=TT}0z9!H#>joLYlf@A<}Cz}vfL
zt=r*Gu8--A;Z2|A+B@LXs*$c!@R)zJQ!||0_)kp_UU=Cv&;r-*H(=3$li$gBy@xki
zIr^%@pINR=Ho#6}HQK7MPHfBVD)`16Ym_*=C+X_vdbsM7o24l1cdPLVskatuN#8j0
z7X5kC)(NsdDeiYy=iuN{f1Q3fBq+A?E4-?hAT|W6=W#zDfWI_Oz3+wtTlY-8hi^G9
zv3-S4nG_V&!hvUw<aEKh+{O3bz_Z!^-6ij*^-b3z9}d{yCH5H}UOu6a0vofKZ|;HV
z)@Ny+!J&1DDXs7YySbqU@P~WO0p$3+NsrFD2R~2G<s--E8tp^w5V+VdDuNuJ<qJn9
zgW$NHc2RPCvYl0GJm6Qk!L%e_{xrj%dv35=eBJYE_)N*4^~<nIb1Z8eEbN@s<N#0Y
z?#v?j_xE{nUYNt3^v>b$U|(hzS5sKMK24+qR$_J0)rMc$?x(4MHPjTjkHe$EcF&Mm
zaQL#LVz3JQFn$k9F&tg8`SfA<hnQJrHXLbAw{IV;+1nUe05^?&U6+J!G_U@@K0vzV
z(4{@Fh;7EhENuTv^Y(xs9A5uL`XwB!UCz249=x@W=`}nll{~}>OB_G<n$#mOZ%its
zf@vy~f>Ys^$?)Kf@bSqe!9=)y(Es4~GF<<xJHMvE_P*Zq!*I{Nquxod5~Hob2Y7g*
z=RIk^#Bh0M0~}GiYE9a|k<hovh1EXTXOaC$3bvBThI=VPv=ZRgo#GSsV5JOsYV!V5
zIogGH;nxa=Nu>QHoj6`Y*tlw*mDE3Iu(dj21TVM_x|hL}S<RGk@YDNUd&%!3bvQ)k
z0KC7yKI$Xf@z3lXJ$z|ro5&Z~Q8q7fGi?5%r<R;wACAy>{Vc`xczO>LIscfu98!M3
z#){&v$@xCK=|7eUxaY<}u1<JYQS8@Ixa#BKH{|?!XfIOI1!wje-TwrO7(c$#0Snwa
zCD{mvZHk|L44*cqdrCgPXGQ4kL)hlnMg?-dYIy2X`oRl*&jQHj+cb~1-GHkEAM=s@
z>lmixuz@Gfv)T2*ZBc2X=iwj*YHG57%@izHOO5f0z~isvdJ>;6i7<ryrEYtZ^WC+O
z-&PG)Tc<fg-cRoPCs`G;-TBwA5AZalJkx&IW7)ceTu)4w=Lhz}_djW0BKHI1v6Dso
z@LSf`N6Gi?i`X8-2Ui%}A13uC1`LIoY2ox}e=&0XXqx<r+XR<OpMOuTAIjSQC>l$!
z-dyv`ezJc*b9AMf;KqrKj|buPje+!U;gA2VxqOEQU&Ja^z@JTbcaeG%m)=OF6~gwP
zpQz2jz0zvE#qh@KHL0ZD#4kRpyma^&)9Zj$Skchs`)l}!LdO`XH^Iqv^KCp_mX`Hy
zGc3FwKAQkD8}|yaz~QxwrjOy4Zz@r2Fv}gTuvqvF)8!>@xcWQug-}?mNv542{$tMZ
zFdTOFv62&o=R1ZqoZuqI`e{<{ljq%lhci5tzjQ(gmhEeP8(oa&IX_PZsb5Mner5I%
z{O+wib11A=W8-cQFLebyje%*`mtQ)-2RQmRlIIgeo`20zSTwLifIROU6*v9XgiS12
zg2?mGnZ@YF4mcy{Fe|B_J62bp!2=)P_td=^rn+9!uvmoq@6$IAd*G{HqASaAe=)~j
zQm;7u$Dg!5c+)Y1j44>k+MxFf9I#Z#yZ}$+{tT{w>#K^Y*WhE(swGvh3AKRmCiItH
zy!x`14lk75a3uAq|J%7oG6QA|pJ>|#*U`Lieh7PT39<9QCR@jo9>W~&QC@<u(0i>B
ze|Sf4PNg{f?A+~bw_t^80YMq~TgmagXW@d&g(^qjPYLc87O>JU@t34O$48~br~=m=
z-+RUo{(jm~Sq+x3PAfBorOF*|O2EsM8Wh&B;j=rrQgBV`y9<|K<M);CuNUHaXIl(R
zflut2f8-7~ms|12!>I;|+{a-FR@T&4@D87mX$@F_)<g9f%;sp}%mwr8j%mn&kDf0%
z!U4BhFP=|>wI-jN{CtD{sppDM0jwXwB=!S-$Y98oLADP{X1#+A!yOVzVIQq5-%8lj
zzFZ*>PPi09`2dc{)~u+4k35(B90~vJeqciCPviw8PTRwEqpDYH;oJ)vZ*Acj%iyhV
z;SbLrb*R9}+#Ny<u;JblFAl?5lWgxQ;j5YS<07zw<SWX0c;-n<(H{7@`PkD6STD5X
z!e;n_j++)~FSsFGmIiL^%oru@Imh>T{3synnP&Eo_J1lEkIlk1BmC8*z0m#s-z{*>
zzk^Psz2A@ex@LGn&5@3LAO4z~SF_-rQ<`tccx6l44YdsT<{uaRcksKT$IOCYp|uH{
zkMQRXBZ)xR@5ffkI@r8vsOKVFS8yh?1>QHjntmQ0qr85MjAuG;zmSlF52(*Ibil9d
zJJ<h%uYRSyK*mG+Ux>fj4!`8iW$c2fm@j#=!SgKd)5+(J8e|Ip$;b7jE@ec<TeWI`
zmw&;$kCcCq&l?CAd(i<aR$h$lfrmB)xwpf=99(4DVB@8PqB6L(<hv_r|K;<hkP<kj
zVVbcOzQDvO`vk7%N-8GpC0rwDVqyNk=O;<~Tm6xm0dQw_<pa`w;2ATQKOAtQQj)aq
zETcEIhn;l`9m)PTjy)2$g>T--qb2*-kQ3~v4=4S)r9tYAoIA{~tOpAR-WVp||3fLA
zpFHf4D8f&U4{c_KzAStrinpu@*6544&j$~lOj#l0{r~nIJkJ9My?Pk^0e-xVn(1F2
zuHQ+fL!>>|ud1O{xaG-OH)(G_;ubytr?txZlh1#6T;*Ip>@&#AO^)x?iuHtAxFMg{
zgtT|O)8SkVy9-hNChZSTeyhJtwoe$Sk@&@*#*Wxq@Pl~CLGpcn`ftrS3$uqS{~+;?
z?5!*TX7K34ZJ}g5e6iY8@(`T&dW$rPpB(9S+@J)@vko?qct^!h&tXCMJoD^kG9J$~
zS!CG-OZJsMC+!WnObr>}<{K$PB%Wiw7$8Uo|4MiACh@D$gB*WXauI)6Pt+TP=S+?@
zFTr)uwv*)hw$b$`Pr$nq@4O}N*KM=y+8E4`q;rNGPkH|r$GhPrOEWR@`zrE|b9cfm
zO}usF_dAf}{<97~uErfh;xV#5RW&s*CujeDa(w>S>%|tp0vh$3$oVoAl;n^HF9ZfA
zk?S#XKtkm?eAnK>mHgg5ig(zOVSCmcjO2bHvdS`fAAX$qeTZD2TVk%2MZzIfPrS+X
zc~DewPcTgJX=S7u{yLnzd>ghk%JC!jtKvkv^S-cgB;6#r-*8;(l)V8f-m17&0KYIe
z&u|$Y^F4pM1fIXxGjIw1`DOc0a=*;Jop|g#ob}YoG#`HThKt(@KH$juhum-XP=32@
z0=u6vIhP5y=~@||fx{kcULp5u#(J@u6Y%j2E$dX+N-F!IE<9qkyp{mlb$C)}z@qW8
zHp#HX8LH1}u-@BYida}ito6`Am|J+qB@&<b&~TPn5pFN4rH+EHG>CcchlO>QFF%Bn
z0xER(!PoSXH%GvH+2O?^umNM6OC(HVSantqp0ndi^@U?vA2jg5J9IUfZ^D|z`=9K9
zonOwpx(>g!rlDbjrQR@aBk_)To7X+eu%KT-)>T+r*<Xzgb}RnO;RbJZ>zbg3y;C@J
zFTl5-W}jToLA;n!y3huuXtUh23Tp~}(mw~g2r1oPfbV9EmRQ18u0PNJgbfY{8X3d&
zf0|n+VWnSD<)(0T<<V=S@Y0o!zmCJEQ9@q_U~SEAGacBNX(G2DKDPhrq8j{@sgb7x
zJ}Tp3LE<e#vZmFoaENt!v@D!==dff0yfGwgT^^2=W~6uzYc(H^*$aE*{JvBHJMb!Q
z+z;otH5_^iyMAhYLgFz=0y${~u&QnywFKPMdtNUG&e=MvzztJ%pD0O#>9f8(<ArA%
z_lCcOJxZMpZHMuP2TKWX@NJWq9B>ltWPBXlw&>YU1FPTaqm6<+$IhwK!FkW$_uYfd
zv}Xq?U>}{5qakql#gCd)a8>Ek=|Gq!c<jb6^oK?YqEGw4jP+HczhQUHJ8ReBrsB>W
zBk<yb09zN>pXb%BF}VNNO~otlt9SeV|9=?|9DHBc!b19#cSwKC&p1T;Jj}7c^p^ZT
zM%=E@LNi$VWv^g69Gm?x!~|wfIak>TFTH&H+W_VY*e&w^{@#hS`V(;7{LAVZY=7zc
zdjB!_@rsT3d$>&Q-6joKxObwi9DWsC=d28W*pebe>Wx*~45=N2RnH1Gl6qv$PLo`c
z@D}ZeIP!lCIbmC7#bA3H23hid37#q}#=GIDs^X_49+vN^AT9t8&Bz?cf)$UeZDfTj
z#sla`JSeuxwSx&>_g#BV;xX2J*AH)o-&DqLA^qEY$1GMF_(%P=R1%MIpe~tM%*OT9
zs(GFKKSEFEV%cw4Lam&Y^p9EkH#``HV=2FWe*wo%AHDb;{x)Rb`xLfJ(rW96N2tDx
zCBh$@9zO4d<xlF~B=NcG*hJ3{aMw;F!+2POdO@cF*66FAA@Lty-sPeyc=XocQ;*<*
zXZm3kuuXQxj|g~J!OSWf)(VNKdI0PHD?=qM+~0OmnUVheo*VBHU%(3bS8Kvy8#7_o
z=kWTO{<DGb2#wU>6L??#(f1_&wm=b^8w)c?WLo;dZ{NPW6AJILzb1VPZvDe$77QQJ
z?QJ6Q!QC_h@BLw+y>c=nKDcTU8|w?(1je?I_~4e9WNHss_5M#e5+6*V+1Yaq&N_4Q
z6NwMHT@_Kg40}etRB(YCR$s9@z%2DN9d_`o0~Ir7uv2+r%4N8T;&_z_eAaSZ`668L
z$xz%7{=uh~O8!5gxZvBr6Y#eG5>+f<|NL3|WAIa+p>!))G&kUo2E3ZAsBQw&Z;NG<
zhlf_Pww;3$_2tH8;Pe@q>{IZ&0u@6^nC7e^hcWz@VMItAW~scFdjh6On7_9hb~3Hx
zGK9Y}#as}8-%4&PI1cx<zG&rwcm6)aqXX-j8$RcN3lH2cRD%apoIE$fXLP!Qj=_7k
z?$)J&udN9S9D!T*OBeskLj35sdWb5V!#N$c1`9ew?N)@19RDu<hF!nE3OfkbIF@|)
z1<ScF3(3GvbB(go@O>_ZyK?YFy1R6fa4PQ^5h<9jB=OoX%r<l3-ac4ohYZgEyj5?d
zb|-Ajqjjef?o`<*xeFdkn34Jf=UuyRMaHk@3p8<!@Yjf_MlycA$mTp*1%Gx)-~S8a
z;Y!MfMkO%gi|28_;g{RRQgYzT?-^7i9?+9$!juj(Nhdmx_=dEcTu}=AD3UL!7OrKz
zwCgE+lagUGi3dor>n1#c@2^#NWx~ex!E}+ZQ)HTQ4ous2dmtP(Zu;Is;z2eB)yHm=
z?IE>CUcv0g8|VFDLo<0dQvdQR552i3%y5`>;0atVvy<8l-u2C&B@F&!dg01t_~!H}
z&j|SU>NPb7nD0^;+im!&ep%LexGurW`wkq;@F~Cwp1d2m-48x-mvhbp?wm9Axe0qo
z=|4IJ8;Dlsl6tijRPh`2;J;acT&{4#M0uw+*}hVcPwJIg&Csi;!y2#LxG%$3rlq&5
z!g4k#Z%BPvD_(zpMc7N#lGheiKiVfE2PbYTH8>5wYm|tVg0tD3OGrK4$X^zA67ZD7
zlar)gsq>5c&w{XlsZN<8EHN>ix(gQn=5|U8_Gmo9#tqLY?kd-TdH48^bHdg#T4zZ8
z(k|H!Ll*c}@y`kk_(BG|FcbWAH>Zg*O#5HW`UcoN-$X<Wem=gneLWNFV?uqZ72$7R
zi__-dEuS;*ABMx*8GL5o+w864^00Y;)x-$w=W7|I01w<PdHW4c{m)-g8eTqiG3qmX
zIPBq?ESx$de6ST(JKDNW2$tfxnOYCK?lp`NhWXqlyzAh13YYiqgjI)B$ID@h6VtJz
zp7GMj?6NZWY7?~#7hFC=FI)h7Z}EM?4a<1lSj~mC|2~vugOgNxZC=53HuO)o!<`c+
zl+xg{@A>7o!ZU-JFO$gY&)rL4f_oE1y%XTqdtV%&g`d?1k3E7J7nqXh;Imi4BOk!g
z^RgYwsL#wi{^M^bOy3u$v<i2(d9((@@-!KpzhHHbFN!x|G43sg{=nH@_Dp`nCEVRJ
z@W6>yFAw<Xio5a;*wXLMZddsFy$4rGz3AJi7Lg9{wx#jjAvo&u@_Bps_m2hF9yn0!
zLaP<o9-!V&>QM_iQ>IwJpJ(*k+TpQ3PE5w|jaPABI^ekUqT-YAeBWzkQZL>zKtxan
z{#5bP<2~#+-@betjtE?4sel=m)i0>Rf1?yUNqzVjzuyOrz==)DY@|LsSD|gn0r&}x
zw^u2AdA40w23~5rnUxMxdT5nMz{>lJw`aibnrf^?;F*@v<4?%z(+;=r!#7V)=RAeo
zcGP?Dz~Ob1BjK=;mge_u@D0~(I+3sf2TL(4{J4i@EC^n7d$5}U7Rr;?4T1eOZ+b=z
z^FI~kc7_87Bet$*V13r(V*yv;E^qGeMOZy$zrG2)v+?!P94uF*Rb&S5uwHHa3YX`s
z&+x-yoTtu>lkFulxB1}F%e(_aWP8Q?lbhh?Y6q7IxQO=63?=;R_`&&M_`7aI>0~qV
z;STu)PQs?$UMI(4i$7<mzQa7{3<O$W)8NR*Q!u-Ta%mGR>f+2k0-OI}4bFqlKaYPk
z4fm}4<IjPWE`=G9{i(e(Y?KHWT4Ya<{r?|F_Z`pG_s0R;E|FxGkdT>3va)Bgl0C9l
zgQ)D4s1%8OQAqYoM94@+gk%&cD@sOWlo1)f*ZuwZe4Nkw+<VWx=iGbGJ?DHLb#}}>
zhMhW+U5WjnfBvL495%Civ9SQ3m%3wo1Af1m8$j&OaSIEc^RT6O`JUhKo<pj&&T#m4
zNi?xP+~Ev&b>YsBrQCnu(8zUeZJ0BntYZ!q3jJat3sZ6x*{;A7O|R#r;J25{z7qS>
zq<rrcC!CX;ew8S1%H}I3?C?B)$!}tR)@~^9lEXi?AKdy2*J<#)B7rkY@+pb^sa5-R
zcd`TZRUq`y8cd<p!}A0FO`W!n*q?v59xc9uZ*X6Fx(>I!3%uI~EAwQL5b>$BqQ7(D
zrk8gA5%Iec86vacjL!*-M7&~kpIH>#MW>ZZ#2>r)a`6uFd+S?#OR(US-)j%}^$C&c
ze{jklOEY)4rtKab5zk9cS+4_2aq?vl@gjDUW~X7!r+$Zs`1!m{zGHAjI#oFl?=O4v
z^-=iba5yy)KXjX)e>ahShWs%RziLfgzYG3*z>S@VmyE2xxA+dvCt{<;M0{sPI^R6}
zRQRmuGJK8Bbg2(M@U5zG1CDW)y7v)wrIk=2&PVj#8H;K-%rT~K6Ba0F|5FJ^v#AIX
z@m>LTmI<)t;{8`de7w2xQXD*K$|X<4dri$Z_`}KF_T5B0<Bl#1U-**qKYikSvi1cC
z*uZk3;@^q-B`IOiU<C_me6%Odr=Bw9eN|YJe0zBto*w<iuM7*X=6e1Ae2PRZ^TWv|
ztvg9kUk~m+AAJ}O_w$P&%0uWOy%jC&6%c)Z4CyT|XP2m9h4-4tM0r%+c+j}ej_*&N
z21m(}-t*nfat=QKo8cL8JaMyo1^eK)GJBONkS-WK+wcKqnjWYpj^|ll^!+N>^5c6$
zqP=LUbQP$Cby`igNZ`Xsf>t@Ox35a<PPn;}bU71V$z|C~?2k2TM&n&r<==89H5}yS
zXBh!MsW`Ys#E(U;G&;i<?k+?U@m`{xmX7epKLa#Gyrt)PL2a1+Vp=K@?{2KrcnVIr
zq0mN@=jO);O`I^b*>6iKq+cMrXvGeX%+gyC<;S6Re|5SI<Gm*@w=KdFe@m=qVZV&Y
zHllqg7^qpRg0K3TN)5w&nICOy;Y%Eqm7id?_j*S&;T<kV4|l;$FKyzpVT+yl*{yI5
z`A7RGIIfwWu>nqD7;cM(U1TNdYGJi#|IHw{^i-vAIjr0q?06kc|IqWP1is6-@8M;b
zRNP!GA1=DWvh4|vcZber!D(@Y;&!lg=<aim;W@UfM-DLS3ALS%;3T>e@6W=8lD%HB
zFh?D~gfTpq=B0ffZgZM@uLE=TP*vTAbybEW^kMTBW5+Pq?3a_P0{l#KrY8XA`mNig
z1iKoX3i5%sE`KBwgTM29`*|6reO!KC9Hy*FsCR?M?s$_6!AGi(9d(8`zZ+gS0;f66
zkUPQxs*Du8uy6crPb=8GedYomENiNvX+gv%=TmUPZROuzoQ1j11YP8UKitc`dj_WY
zPlj?I%yB^D?<v^cYv(04_#*Y5P7SzJxQUVh_HKT5QV~8Rd+!nxOwk^=S03)O*Px<>
zXA5g*Mc^`;_aEtD>FEcJ!o=@0!rXSk#>zd9+2QV;YqGmx>&oJ*Y%uxmqFxHPZJ1o|
z(^K5vdVD;H?Z*a_@b<#x+}yi}?Q6zM50u002lcWJzz1KbmXyKUeShQ`;jhKt{-(gP
z-RC`t_@hE=ok{SQc^VobzSDSDK_n3`w$RT4FYFY&eh2ohyYEQ{lRcHT^oMz0*((tF
zEhX9<^M%J=Zujqkw^JumJz#}kdj(?u_og#?xx+cLoBhQ8E3)yPv4LI5E3&BJ1IA{2
z=irsEdJ3fQ>9?bC#<0b)tSoX^ZXeqPLpbUBNriu{=x=cmR#$_Aia+lnL3-Tcr2{JP
z{3W-nRiy9fT8@x~FP<*nwGMxDm$Q+E6a7zREyA+#da{CWQA4}O3S8s%n4TYIv9;Va
z2bWav1s{Z;x5axbz*5=%MjY_y0Pn6T_+`dDQ9Ag9Y}BV&c(rYsk`{hZwa;T5rlJeg
zTQ0=?QuM!!8Mr29iuVs}zn??yJ4{OHd+I&hp8rU89&Qp?<a`I8U1IN@fYt7JMm50+
z?t-$@aHYy}c{A)Skef#AKW+7=i@9(VW2H1v9)^SZ@%gZhiS!eqyqp-5habQrRtI~C
z^MQYB+Yt}5@McO8=PQOxUOyO?Ub%3dIR91BxxUxougZ&E+_3NM+WPab#n(rqM1304
zJoxh>>|V_6O4PT~L#=PD;M4B?$EDz7_xa|mVV63)Bt^L1q@h(G=GLKhR)bG_9{6nl
z>$1mp5cU5aUtWg_-0v&;&;Z^ux4Ena?{2HzGKaTg0=rMZ21{D)*6;<&&NV4G=FMj@
z7nmeLp;rJ7t~1-X2rE}cZVJIIbkp|NV80V{{Rd#Re#@hNa0s~+DJLA4`|H0@ct+gb
zodveA$XE}9KX&IQ?t^V}B<!MKMfxRAYWQc~e@9}8bPK6u8u-sOfw)I-*9DWE6maRA
zkAIWl<2N53qk_F?U2U@9<>1oPtpYr+$I>_F!2IX`yd^>UdE;#1Vwgw%K*l1{RX1l>
z%HW}ortkj1^-5vqi1uDJ-ZOg~?yPtv&;VckoZmSC8~YpIZ-W(Ym*@4vk##pLI^jO=
z>7FkzBN=<cCzzCRvalUCXOfE=glC?y^mV`!{hxk+hux*AieJHkFQ;Ek!70~|eSQsB
z{kzG#2wz!cC@q0!@+0S$;qDok!BW`UP0(Zu{;j{eJQKb?edrK5?r&EXL`SmWy&?^_
zY2be4<;nzj*!$^Ode|kJaqJ=NDyv(y52k(JUVR6iFc1#sfRmfYzemDe@$Y{ghW!@r
zy$Xb*{Zq?@;HCJ?iC~yjL52M|OkS*jx&8S5x<EN81)tm2pZ0|1B?@(wVEvRdQA=1w
zp)yDl9=%pzb`JhWX)~@5JKs1gt_RPSlN1}l1ysV8XW-<`eCBho5$Qt-Ww_U0Vbl(m
zJ@)9FDjc9Pt#JX~+V@vd0-lQU*n1iFSz5A@gm3n;`})B8ZR#@oFw<;;N+7ItM!{YX
z&Ms5S4~L%?jCLM^ZFUFI-G+NeKCkk?WoLxF?!(vP>3f*q?I#Zu|AVO$$=6w6bqAH4
z6j-n4k@Ft7*UXdV3A~gZd4DfFka*}yE*#g)zCjIFH|qB1!)Kg!AEt$G25rfg!fIC@
z#Ztg!!~B^qVCJ!iYARTP=?nEM_~pQVajW_Gp5npX+W<E%h19OWJ$!w#?XdgUw!m+=
zfP48#2OQWwZLkE-8|6_E&u?yNj&-x}?pw_l`{5un-N`waRl@JXSGb6^$#4?(Ns5#D
z23MpO1Wv<hZ!}YX!d#jMrpMq>8yoUpFwbLBhH==JlIg-S+<4S2cnH?}B+#`=#2cQ?
z9f6;&4xb>w^QN~6$Mr6_OJZxA0=DDZ%Ikr-KfQ3?4F@HjV{V7ftJJ^S1M5o4D|Em&
zZG6P{!O<~^1#jRDlIw|Vu>6+S#}@eeBdINJnEL_e(@OZTuVO3lJe*zdx3>!3j`@33
z45k*2D=L6*pZxPz0@j^#{qz(z>MgR7htFn9A4q@)^rNEHV6k~BwTE!yC9P#0*rB8*
zA{16C+R1AKS6sjGJPbam*Ls(DUO&aunWG0E+)<|E26GKu?>Ymg$@!Ie!AE{jT^EP@
z=^`~k;5ORgJPFvX!>H&s98$JC%K_U+1r0{SYqkl@T=0yqmP#V5|Ei;z6b@|q+nWXp
zblA_4!#nS_p3H|YkzQ(9%0qvj4GrZpSfYA!ZUrvS8@gBlf4Kffd=yr&&VBR>rhgq|
z`3=4$96-_nJH(hhc?a`m@g02+|1lhV`ySR=-uRDrKcW&#rm2MAh}~%%g5UVENL0a%
zl=gx@;0&7@pA7gbd6&s7>?R_bmIXhzDtNU7f4un3CmuF?8g*+8=KOAumI$wgpZ`UQ
z_qB!Ht3DC1(-VaXDmd?`ecD~PXO*2}4?L#6<`V!f4UPX`g#YZZO$&kr%irj*!+!Y%
z-<{z$%6>l{_~>71+VgOeUDc>CyhaxK-5j=%x5*cSzpf9`SiuMOtJ2HBq`%d^>%cs(
z2S3Zh)N#o)`fwpzgQ5l;=)Lky5oV0k*{KaD)SseJfo+|SUp9oTX=U_;;Zr+ik}cq(
zfiQ0oSl_vq%mEf*o@5@##ry<+%QHc+(oo&6e%NopdHNd6pZh(z3XX3H_6vrMmfEgX
z!k@ElGI+!CcP%Q?;5|N<6o~kAX`Sd)IH%!qKM~Jerp@RH(_HF48U}aqX`Z|aUzYwD
z9|^CBWCmHmdi;hB58!vaiP_fhJ|8oIWcal7=SfXi^Kg}61}s?mX3uH(>fie60+{B*
zPlMxdjT70#bGWm!%kKoNSWBy04gWV1c7_ku%MWCF4Qqrs`U=1fArS#@;rX$p7&6%A
z`8T(Z@KD{`mlW_RhCjW7@RxPN`^!0aA1^zWG73An-gfx|@6tYa;xl|#h?_hOrePfl
z_znB=`VT&aKWx5Y`U%^`&~w~|bAtXUEW+-ySC_+KpPn!MQ*envwrvocMt<_-41B10
zw@d*1^&M;PH`tcKbI&EXpsFK@=r4(WF*bP~F8`f#{3{$6&1h&3TRvM)7=t-X?g-n$
zgO(pfzrgn#Y7@+09yRVb;&?8qNL@C8Ii1&piR0A?yEvc+?+j4A-v=k!xka9aX}IR<
z-@v;6vR71Ka%*v3qP&XMk8~-)^kbB->fo<$on>X<Vr_M<2Kd4l{Tp$(HmT|-(Ld97
z<gBPLJS_BEmpES>oTahc@ZhB*&m&;w-CG-M@D}GeCgOT1J2FU52eVw~%r}D@sHFp`
zU=3Y$T1$Ax?AFL;Hoj*|*<U8=htDPF(<|^lzR(XR;jAsQqF=DU&Daxc@Okcc`zGL-
zguI7DeVm-)%=`-5E6v)I!!>sw(tU>MeK(pZ;X}12>OaC&vi_??`_NfYCfoskOb)kL
zg-8Bc55I+3rMDs{U}v4NQ}u9RBiZ~E93}4mu?l{{FJ9FJ^H5MImckaFMcF^VHqWM5
zOW@;jQ!m=!yt1oddGNdaW2_zUB%juaESN=APpbxIzWF&V1(rXp{FG=P>GazClHlS!
zD{AHN+E?=*58#ig<GDotPt<Gux)_);I8mt>mbp15cn9YDdOh<wJZt}DFdUXH|Nj5>
z`u#KVGB23*Urtgs(&<0!jJgUxjx#>~80J2nx_S|A2oOtn0{^;{*L@ylzB7E3X#YQv
zD$3czim7F>k6@m&dd#-46PJxpENuNdVD=1rtZ#EZ9ySe*Yu1B1TXQ1r!L6CEQxstj
zX$idtu-nD2Uh;6_<AI4g@ClY(x<_HgR+Fd1{U>a{INuStHFaI>7W`Jra+4kA2zS~Q
z3D-qLeqw{&JE$^mz%8O``zc`Mn>*eS`K5P-{3eBGPi8xW!t(+dZNIbdez*EVfXL5-
zVj^P!rsfK52!e~hQ~8g<c?l)Ai2VB2&l-M(Ys9n;68&fVwpWC@VHtau@nCqdw1vDA
zrgh&8^oIRY#|P@*3l_Un0^o@w$}ehR>d%h{uE18--3QCz;5ZI>;(p9YF1}U@^WG}%
zy9D>THaZr<weCXFm*GhsL4|zy;-~6vXL#&Yb$&X`Ju7znJiJapA(;$w%?xhn!<`(D
z)8pVL{Mt5W;VZhNNAJOArgH)^F#C`6M>pZ;)h3ZA;qeVFz7SaYz;7es`NfX0E!GG2
z$~LUzg~{LRU-W`0$_Dh=;UU(wPi}C)1*uX_IB7Dx<RZ-XtM)Vt+~X|D?g;nyFclHc
zOSwAr%XV-<+e3AFSdHY8odx`Ga3+@lKC(f2(hQD0<*u{~mKcAQa|V8WyEcOs{`Ggl
zTnE;E^XlV2JkO=cK5SNlGexK*w_sO8*(WNn{APG3@%(qcZFbj5_)A=?*k5>rRlZIV
zu8eQAn}n+;{|Ji0ktQT>reSH03~~{;J0iep430ZwarrR3<o%-VJItTo$bAS_RLGqt
z`WqE@ghcO$vrGmIi04^~lx1aRm}IT>#v6Fhu%c);Tyk<{yam25N^)`staHTpSrKgM
z+?unUiSaZE0rVxX48MrP8hribhc5~6>d?lMMR-8#_sK`_o5}yUhv39uc`<cZkLyNs
zFC5RU|A2UZ3BFrL>H?pfYn@HP`@ZnHSiCzCKlt<RLwLE|e#;3CxyL{24Qpn$#Ja(K
z6<T+%!7sm5a1rrhWfF##@a6M+UJ&s?%qELwu*_1a>jgNL{r90$@cL=;4NrJ~`CiO<
zK>x!>qfeLNmU$a9d6=Fh?Ys}%SrfP-3rk#BQ1yZXJl{o&!@>_G`vc*fo<EL=!LKTB
zKKF;q(j}VtVdI__wHt6-ueQTs*u0kM;C1-Q_2hr-@S}z^rMF>*$>K+BFq7}&sGIQ1
z-6Y}+@V0C3!F%vT?%wV_@bb@t>v!P@Eqm7;aNJvidk<huR!=HQcqem;OAP$|cw_3u
zTf8q0x2`9`QYSj))?t&Cy?ya;cgMlLMcAc4#`Q5=Nh)}C9-fX4RY``mnF44g;hLja
zeHn0DU}*k0+%fXAI1M)2)vG)NJ6zbQng@I5^nd*VM;XMgX2MmXLG*2KW>&%7LRf+<
z<XH<`Ke*tS5C7ck(Wrx;vXTBRfp=2$jMu=Md+t4b3MZWRVJ?KjSmG65z|1+<%JSfk
zH@KII;q^tf@kE%yfcthOJm$!9BOW%Dcz&`BrcbOb4Tsg*^E#_x2Yku60f%kR=e>l(
zVyLJ6;Pav1PS(RW-AHcxzz42+EY!e50lAgV@aI~KuqIgheu}XpoO1Z5)NA-#nCdM<
zSVgL%y#;P~FUe~Fs~0n7zk&CJ+^szYZ#-R)>VWe${4F$KZQhXCx3Knm?#L7Hj-Q4h
zU9ffNUcuwA>2#9$d-!RZQ-ctEJo&;bQ9ptr3~U78Q_dwVAK-HCoYjM{7Da&h0Ia2O
zKb`~bJw!$K34S>$-9ig*-EK`AhTFxt9CyLK1G@tT;dNQB4N|!O$h+O&;r@E_r0o`b
zzc4p$9D$E0QoNgk$FA-&o`9qNO}Ng&)IB5LzrvSWejNJ<v&2MrPr~%IZ@aqT@#%ui
z9+)zZq$v=NjODu64qGKM9S(u>uPUt*<tbUR^~(unPkiN43m3N1oN<NaVt7@E^OaC%
zI%NZoOlB09!uKd`Pus%}76Kig5jI-#H-IJ6wtI45tG6pdhVbj+D^IgvA1*~NZTLyt
z%6{VdZflV1*M<MKPIW$nCHmWT$irh4o^r9Udsf4FMYup{f#p8jWJ^UR1%FEN3n%Jl
zq}7^(418-NOePGzE*<ip0Q~mN-rN9K-uBXp5WFcYWJR<W#jJCDY_O3|Z5z>^xLoXu
zV29^keha<`J8qq=qJgcC`OP}OT)`3t=-|XF3~%jVeLv4KO4#mTfrJH|!>`A@6OON(
znl^^7guYQ<ZASk|ZMdl(JZPDmy9PIy_t2h(bz*mao`OGAc>1fr9f>0{GcZGJ;4V41
z`Ns{i5Ad!FyuK3fD6_6(FPt<VBO(SL`cwX26I{zBpDX}7>HDuV!{Y^&XLw=PonQIN
zVQ~r9I(B$0=5a(NyuMJW$3moMi5R59M^-M^(!uE_KT6YJirWJ^JK@L_w}9I)>&~QV
z5;(z^bNCKyD^oG}Cj-x0nQZQ+ux9!#ty#D&y`jq-P9z&*dj)IdWqnI~gZdfO^7IX?
zKEfE93Kyjmu@u3~5@Nel;L^k&;o0!b@$!pmFwJ8VmM3tS`tosM_%vfecp@CabuC^5
zj;U|7iHCn5y)AMWcDzX5c@JikA-&HJR|=iTkA$zjV&Fdr^Y8Lu4To!1Zbuw~uMZae
z4uy9wCUWhEW9AoZ{oxztJ8v9-e||V3=L<Krv9K}1=?6RuJYZM58v)Gl8hz<acle3s
zea7AJK8}<2HgE-%`KP_`E6s5Eb8w-pgF7`WO4C+o40A;^bkV?Vnyj}CVHUG?7jk$>
z@!YaD{OTD`8zr3bj`FD{{HyfX+ENpqe-4~sQ-b3pZ(6Lv91C|9j>G-|DL>!9dpktB
zW#NAm`ga;($5Bgr33%U46N7x1(eclplkg*roeMeel0bcd6nrF$mMa0S@X?o3gu{|+
z>*C;z=eIkh;T;l<xBTH3c{H}f_U#=!5BtKmj(ug3gFggZGj@Rk{#fLx!jxl&mK@<r
z{%^vR;p$ADC@Z)_=p?fioGI5SWC6Fl+TEcBuO0nhp#=xZ1fJ7@-)#D?X~0xUXP8dG
za(%&qk}&V>ifny&=F8#M<M4(KSEw$0V1wUQ7=Cgilz}MUTM`{x0`O<XpTEw+j6IzR
zTrh>SMu-KhB=2#86VCjv$ifWfH@f<s8Me-)m?h31%hKLUjIeXpg}21{GrGx4K?9d}
z*P1!OyUd?w?1Y8i9FlN=(;UlXN#LmRDw8X)O7?f3e~lPVV8A9$TrZX)(|i8FkCbhj
zeBjeb0nZj-+Wgn4UT{@PsKylh_BM%F5F8}G_s0*oy4sp109LAI4H||STzW<B!ff#(
z)t})!m7~-Vuw(Rzv)%A%dWWR@a7b&-!h6`Gvc`+34;*rDBAVehS7)e*`odbE$=?Kr
zOsIT&0PlQw=5;lESTBJh19so7w^0t~o}d0o)W0zwv;T_VZKmCxxv)vd2k}Cfd&63X
zsIQ!k!|fUHxN?&F3-|$T>yA`-vS(7O6drWzeG(6!*~fgT0nQtHJ`@9M8dz(-hJ9bZ
zz7_%Ro^}7+0v~G;WV{8xUZ^M|+6#S7>B1n`m${?wBka>mHsuRTHtl)d19K!XT=#&F
z>N2T(f$z&+<#dN%w3u-8!#D1PRXD*BiYCuS;N^2;Mh@^$c;cNQScd=itOXo98_PBh
z7mMmfn!%NuJ<DUT+Er_wGw@lXx3{L@SH%?#x^TmWhWrmWF7wNx99(ozqLXO<bXmk=
zWa0IStNB0S=oV!Gad@!RQua4&>K5N33hz9U#Jm8HCgxi6!#|D$<*dRLSN?AB!hU{h
zRz&;iEx{qe1i#bh{k0Cqsb6}x7nTxZX!{E{4+T3=!w+UB&58E;@1b|3JKzd+2l@@9
zuhlLbTWLW5WT#j<Ino29Pj>%-Z>1EOZX=!lr7g*KnCbVGDJrD@JD;CA3Lj^G-b4Yj
z+tx~chQHf-8qvaZ8f1NaaOlZjyNLV4c&Y$pGd!=8oxBGYs=1We2wSCapQV9Q|33Km
z9Dd~g;Tr?2sNLsT4Bz@eUq=t0Oq-(4g||y<^!CA&`~rDdu)!W_N+$S@y#D7nxHNwt
z{s8=JJ<2;4{_bz4!wT0em*rfCmA?HR;)FG)=hcE?BY`V%Z18X^i<cW5Lpegm2rqPh
z{&X33FX0&>wx4k2r@IS$b^Ko~DQwSVCw>W*Yt(v3lux;!N4o>uczfQMxE}7-3L6ml
z?HkrU_7&DrmYjBkA8CG_tA}M~N-n#@F-)i1>)^nz6+4_^v$G=VH(<-_zZm`CT&^;%
z>+sCr&q5E_Nc&0cSy*7rZHd_bfKM_H&k*tTj#1t)qx!)K8Tk3n%Oyc@!{O!zqW#{*
z>u|~oww$0pCI*kjmF4@u5Bh6pkHQwJ*~-N6)_ydc;e>NvNK;&c*H)?CvcpQB`BN^!
zvBwQ1nc<o*7dDCG({-g`V1$FOn#DW89-qxZY2cx(gcYK^ayeMeQNyh-ZbaL_=8cXW
zr0^b=+Ic&eY9D{zb~?r<rsUi<hjkXcS^vToB7;+wuxH_pu0Jqm>eGGNaPOd{!Yr(G
zZqQE`R#6gS`w9QlY}~63t7V7W`393p&0f)jnb{1TM&a?qo?VJ?O<8{LXLzn+<)Si-
zZ`)D5u;uWpWHGoYrSe|~>?$<8Ar5nKCHA+&EAw^#3Bga)|7bM9TbI5pAAxng^m8}B
z@AIne@xnpJPduoCKNxq-@xfmGobHwIj~&l$al+QlLBqxH<apgA7o5s=sj3Lp*qsux
z4^|&}Cy)bcvE_}j!7UlDDYD?@mtnpPuxK*ZwG?=D`R*4c*h!q}$U~Utp#n7p%zDEw
zIR@4zSGqt2HyZi*M8n-w`^dKHas7Y!I&ll8$Y63HK{{LQcw;y`a$shC73mkebi{*T
z&dG0<>+oe)6S@HSY=7mSML5Cab<kD#$%g`?B{=%@*AtiFf2;=K-(mU~oop94Oj+T_
z4|qMsKGX>=N!SxK3|rCkES!V27gmSA!spm$J1pUWnzvs4aPB)xIU_h)z3|f)*#6(+
zC4Km%vL;m<%t*%IcnYpu<8^rlH*v`*X~3pJi(8Gblhw0g1=x$B-KH7dA2|>y2j8gr
zZ?zVF{_o5`3AnDu)$BFwEPJD099Ee>won1DeO=QKhSQ};4XWV$qhdUQaN@hxsS;R@
zI{(2Tm|ZPSs|^0;GVXp5j@C0DD}eodtVdX3sZ~yuBA96+wVD~`^ZouM3oaL86QYAR
z&t%Ew!gBdGRJ5?mDVGna@GtHmFADg)0nhPt_}p{8vt+Q<>+$x7Ft=@1!+IL}3;rex
zC&OM_e;)sZw}&j79>7N5uIyfftu*L(<Kf#eZ>Q&A+w_i_C^$S{(|i)1ll5o64?l28
zKk)+&q?LMc3l3z-VEP14^@Mvx!e6N<7C*w~`xJMF!JksXZ98CDwXbeBVVcJ?a_z7Z
z=|jpO_=Kz5(?;0z+;Qg+SjzWHL_NG7^K;W1e&}oU_a&^)5o+xR+dq8YTLIsEE4ktU
zlXM!W6~nCIttMCD`<rjMir}TJz_|;so2zb2HvA@*THg&;=~dTChiPTpgK<?UO(k@_
zd;|v=Est2khd&y`C&E($+1@5F>$@R}82AaFK))G$@XW7Qk??^>H>pm+V^0D_!r@>>
zGMCeE6ld~82t4CpnIHonYB_4+3zO~suyPX4rFkRn4ey-_j6M!OoHEOBhy5Go=1#y1
zA@?mW!1}{VoQL7s7Xt6>Vc#E5gZbf`RPDL8uqvMs%R#u(!;#e-Znm!RJ_PUjuxrT#
z)@8Ay+Yje@<~ZoX!XZuW2jI|e21>fHXORmPBOF~hSF8>{(`a^PhNq>TM5)5nGcH@S
z@C6n5jg#=%@_Oq%u-b>;pJiaa9=jDPm};`Zc=HLqkFq5GCALScI_0|!r%-L#a>LIW
zwoMn{CS8|9#Qys=9|`ykJ63hw5rx&YB`v<gf7*plOTaBF)<Hkusps*fa&Sr6@a!<W
zK=qnI5e^ijq#uP}y9fqo!ULazLq5a%7W4<T;GZnn83S-bd$sCW_|4y^&$3}zGN*BS
zIJ__=G7~oE_!D3O|C5r{x(O>}Zv1nARoCS&-G+zmU2(hw7auJVJP$uRp*rpbKRKJP
za}l;rt<?#JeUr`zTfwmhV`z!%{jQU`o;7@voaX=a;Tn0|D-(D>{X*|Oq+fe@Yt#%L
zb-O5^0N3z!=^MZgigX_n^)>5e!xcmL_{}y-qCTrpP=3>fH&^qVGU2@<D-?RLuh!wt
zLYO>7;+h6*K2Lh|8C)FAn|KO-Rvnx`v`-7a&QU4D8F6MSFJa#T9YIyN_j8|h15C1h
z{ozTtfBb1(6Kr$cy+$7XktxLA0UxP<EF=l9eA~L!30u<N)s=>a4g}4Af?bqe)QZ6y
z_w@9?z>XGAzKX+*O7APj;C%l#dcyGJk7U+y*xmY>rwDwT;lTA-c*?zV^f3JV=L8;f
zFkh!4olgiBEBR5f4cq@$70(U7t}Uh~!~MrtD|(O*UUhypM%>@1mL8uz2>;6UR%V82
zSgytJz~3dk7>N66-MxVA1F+=NlUD@b9(F@@E_msntf~y`Wq0<)J~*dsE8`?QQOCwX
z<aZ)0V8{qoETW5Ig$wKz<xJtOrI95Lc*CmNi+H}Oj(Y3B0w22))OQ6Atb5YI4x1OP
z&_%%m+kq#UVS~Rf-J{{L1Lv}c{W*6{ERT3TjiwT1WP+KO7k3oEGqkLMY%pV~i*gg(
zk~aL40lx1lkWM@g)9mf=CgN92SXC$C1flRBjBvKv=ZtB%z9UqRh&TOpYKRQa>%#Ys
zz9QnA>8a%?;ixVdEh0WwW^tGgR%88KNyMM|@437n++jS!MZ{AGa`>pgtQx`hiFl8y
zp-*bCscFsuB3_E4&es`^>=3$3#D5zP`s@mm=NbOl5C3!;-+KcNYVNQj;w>FAJ;ULx
z$jx@5y!#ICEPM>77+jRu3)7gl>`H@Al4oTQ<xO)=P^}6c@SxgD50kY_WY)mByEXlZ
z^8SzJ)Nn7%&yzYu2OAYo$oIpNg%buudEYta=)C}6brrAQ4ez1i`t%#_AG{$*l=pIH
z&>mX6UzaE~CDOtQU!*V7!4~ox!^HO9x*SqE2>ZH8=upFFat59pg3bHg9}xLTvo(2$
z!}%XlNvPnhDF1E=_;vn(#x7WI!aiLc7WW`4CxdnF?IS$}UzN4vB=Xbdx+ZG}v*ZOu
zk-|GR1(F<K_tnS6<gnYj6tYY3f?+wwMk?y(fS$cOeDBJ#0}0ZD$0d)4z?+XKKKw;G
zo519QP`LiE#=cEhk+sX=0Zg|~_trAJ>wZwvfAH7GZuzS)!>dK%$MB!v%d89V4VTA}
zPvDEYO3p38{$jVRN??_W{CBg&@Art+mco-YZF6(*&Vnr78u%I(^O}TD)@X;nf^Uv(
zX3W4W)+dZR;VO-v^y9F5=D>??_)rJ6!~|?ysL$~Q-a5FLJ_2j<{0<z1Zx@J8eS?|O
zhID7)g;qL~L6}=7sAvwR?G*7FhN&BVGZXz)dj@w*_Q6?CV!YPiMMrg!0oZdTKw}sB
zyBy_MlRv<M)cbO1VZMeFb-nQ3nR|3Ze;dzjvLo+d12KMgR#=%{@k$ST)Q(Y60FFx|
zA8muL4-}*d!9TMOk$1q}f`@h-hpTwTJl??CedW$4V3EbmxE9ze^+=aI>|y<q^flZS
zSa(zj{^Gl+*#wIPKHWY8>y>1d*TAvSayEvr;^ynmui)-CWp6EEHXb*P3b>G3nco_A
zm&=Z-hLyjI{&k0Kj+|aEg}JS2Og-UOf1NnW;h=5tdOvtaKV@VQ++9#}Fc9XOm+N^B
z7g`rCM8Ovldld@cfAZpI?i1<X=k1=tetHEj6X6$rH@dQ5Y1^awlHiNcDZg{zzdv)X
zXTWldLbgv}Zc%~JEO@o%Tuvt3{CxlOa`^GC?~Ez%gy19kmvD0GhGZ(-bBMvO9`+s#
z%u0ZbI-)-}!gkW}Zy&<J3OkkG!EO%pCt_iz12@v%6TeSU3W$f7FL`;6z{g_CrtZPb
zLBG03;nQyKXkuW2b1pK|Fy9#&zX;ekZRp_)?0?(!brgKAqx<{@JafGB$W7QoRjq9c
zK6L+w{%x2grta7d^fzY-YP<@8{bfXBso_#xtI<%{g`{9@FRc8jQr92m8e%nPf}I|J
zj|+yC`*#Z+COj`m>H~kC@Vmng`#jL$^@HgSEH8?}S3e}hdcyNo)&}BmTw-&-7o0C{
z%&iLlNTX4AhaK~3L)GEgMlM$m_?MRSPhI$EwOyYp{Btoy>kKRq6nVf6HqH2t%?{3x
ze-q&Z^9HZ_IlwU^p9@`Js(V+zU4(x|(eAf}nUg;%yTj?aCu|&HIlc~t5O{yHZHE=i
z;3{+_6lVH;m%$FU`@*gI08SEr7Ge%>>4jwc2lu}F(tHl~%kjCI4IB3@iJQPf`X4^z
z!tDcx{4C(R_u4aG!cs*N6KCPF3q0gC@C2vB5mPuZ`athH_(-+eBYimd$(7@s@ScZ{
zzZ$~X`4=d@!W<h<badd;bFUr7U~!F}2WQ|HBb5@r;ngeewok!(O=<pHf@KA_)OF!@
z5ppNu`$`VyLa91D^2O-Q4)}qjGCPr9Qo-9zE;y-+|Bf2G5xMUi4=gWZ*G1&F!nNn9
z1l*XUD5nflOIqKPgxg*xWoyFfyj?B&aLF4t1|>MvorCWzoYUJKpaK6#i?X>0zYlyk
zr2vO>4b-{8tN(<&i1=KKdfWRj2lx1xA}qL<u09r~>ao%$;`t?g*9u_Hq+KtG_{Brb
zW<{`~MC2jjc*G(_9<;y$X(G|`u+me%#a8&i;fhsNxYK-8=o>63q3b9I3zP`o9fudQ
zhTp5e%o#CFn=rG<dD)Y2g~%W`3BDI{n@YbW;w4{|y*UKi+$=v%#Mg&x@$kah36_tE
zcz!4AbMkPD^LuI{{-0G|ts-pd5O9?!ujN}*D`xO~-`H0fnDK?au_b&@?(-!g{*=tY
z)j+sJSnP`|Z2s8QBm~y^BJE6Uf2rd5-!!;U?Z$`y=Wh^XnhCec^?4H4Z)<Nlt17;S
zpI#UpCa&M8`gL#O`+f$Mb?JFH)%W7G5Bzo7h|?aXd(v{s9}eA{6+zS|<<a%fIM^lr
z{t{6?*yW7J;^B)06V^oiiEq5kRt$gXY-zWFhYZL3p2KH)4xey_pB`i=YlnFf*3+zE
z%ZUpN@8PGvCnt&R{q{ZaeHhLTdSPe@t6q&#8HE=$GLwk>$bOkH67wH66J4mxh~Kk4
zz48a9=`__Pj^{^!w<<BeWd9GwDkIoqxGjSU9=}aVLe$4chyT0E3V(O3x@Z8`RsZ;~
zA9lI+wA2{p`&pbx%y&4&YR0JtkCkqdiNK+8I!;7=jBacDC=VaonD0If4>q$NC*~({
z{P@92)W;7^W8}nqhP#ZRVZ`-X{71yW5LRAW`9;((Qc|mwOR(nKTjs>|D(js4&mCTO
z3QHsMtK{|Q2!a1w+eJ&9&yZJD!Z%>jg}dHb@bj4;j>LR}zuY^%5!cJds-tfn!~1SB
zdl2zs$u&-|2_Fj^B(4|nbc$wT{=o1^=6P-S#r}KF#Q6VWa`HYRe_4}H%|Bq5%@Ynp
z{Wf;8aM^+JCLfb-brSWP;Y(%<HQX`!&WhOoZ^1mS!f?{c?pC5c4GOxw6@d@kaWWyw
zE8Ka?l^9=tfb~%WaeQ^B#9IwuibqaIh<Gw_9ny>Nx#oL`M0|=?ysaDDe!`xN*uI)y
z(W6_iBT0xGv3<ps<-f%IJQo|w&&2Ur$kB>tz#OfYREhnssWXhtf>~b{-6hKVdK0aE
zIjsMqVwq?kEd9<lRKi>;YjQ+>LrydgTH)5?>$ybz6w}vVB*wE_9ZG&jv=<*Y3e7*l
ze>W2(rQj;oUoVOAKklZVgNXXnI+k;10=E16Zt6IEP;6pq3VvKiCngPVj6JDZgL`?_
zlf>XAhv9u2FoQ;Noj82pnrtXB9-Sv4R8Sbc!0$Cm1rL}td5FSu6{62sVJ5fqL4LU4
zu`4|>{ybv0%C;c<nZ3oA7{7I&_P_;hnDN9$KQVr*_geKmURYSvLP-Qpw~qeH4o~>r
zdm;+!7Ii2df>#E$Jd|Kg%ZCN~VHWd%E*1E?vQ*~*n6B}Q6#mLWY3IPEG!vZZu`^K@
zJ{pm1#R5kfxojK5=V{KprGw)o;;hYJ{m`|a^ssx}?-pBFa=zS{8vdDefX@N$KVslV
z1D6H|L|=qG=3nV;JVt+$#2XzCc=5f_l`XjN?%{G@_%S!-@CtnEs5%odzOKDBiDV7l
zPm&uL1~cx|xVQ+L_B9ROgr~d)qW{3dhxpWp@q_|{ypH2=nzacTF+a9y`o--Dc#XgM
zLNd&%xoFi7yYmeT5aZj=t^{8H0;gV5iOqxGr^YD8!<IZprik&Gu6l>q<6!@eS0Tjs
z%)3sJ;bO4ww)>f0_;poJt~gxl_VXn%Uj0`|Ud(0+?pL~b`oCb>v4OH}*jQQU<ud$M
zaKNJm9zP>PLxb_D!j^AztKeSUXBlL0c5gvc2JETLQb!GoUr0Nj2FKUlHYUce-&qgN
zy92vfw|ne_RhB|--iAM^O7A3rBQCeihroY?lbwnDUIce_1i?!YJGO}N@Nd`b)7{~W
z@2{)3;0ATi;7f3Nh2Ys0*u|9G@Ep9}-c9!pJ~Fyr%n~MLlFs=J--;-p(1CY;dv8yS
zpJmZ&8`FZh)5X{4;8XX^DrDg=0+khi;I#W8andlI^?tn>xWj3;t03(ABx=_JJe?({
z&JTB<o=u;G#TnZ6?}O*jZA6UkXNo3SWrp2d3YWjbDGwswQNgF!H=YyYbCtB;<x#*S
zFHE#XVZlkGpygz=*W3w|#C(DKLn&Cn6z!?lTncf1meiad4Z$zVL@J5=9;8-z55QL?
zZ|DueG|_U}@8D0~iMxpWTzMY~w84{?r_=jk^1!&B0=Sdw+x{{5VCv?xJXrUh==0Ao
zr%CazSor<MR{K{te2DkmeOP(qlsyr@M^$p<Jj@@TBSma~GVoQ63*0~TvvUC6Yet$W
z4)1fZwIRxDWv64a1bl*nr<EwrJ$okHSP0iIDr~}E=oDi1!LrMhxx{$q-6Nr$q;T6<
zQ9UgzZ}ee-9M=8MTaX!^j-P+CltlFRycpjPa~GVPT!B;df_1s!V-u%qCSj&W&vx>|
zb`Kv6Ps3kT{XIqDj?TE}12CiR<0BIAch3HgL-5Ac3-NMrj(&UYd-(Io>t~eVSb6I9
zE_ifAuSyHfa-Dlz51(~1y`~2nVSq#<>>tiQYy#(NnC`g+Q*FO&JrC=zpZFC92lS2F
z*uk=U!?(`CV<k!AZZMz!wINIR_IhobBOJxt9VQPSuIp1E=Kl}SblIJREd&4bIl)#}
z_EB@drv%@fz6^7(9G+x@k6Vq8Il~zO=b|?r;d|0=e-mOofdv`AOY89Fqx-*H;C)<n
zycKXh^SU@OKO!MpK;tE>?>m=#6Sg2r*q;v@@Q)bZg%f$rPZq)-D0}OO`4H}bFX>WX
zr7IP_iLm)eAF)(8wWDb42@yZYm6QM<IGv=B0rT37)I5Y`4nD{w#@jbf-#8o#Cw2r-
z6v5}k6*c4FtL)d@%Hf>ck&;NbWX+<z66Pv@^x+<?^~UgcJ)C>HBRd#Y*uC!;F&`lP
zSlHX^#P1CmOy0v2(JaUOV4K(TrCo6T=DV{2@PF5T9w6pN_^DgeUWJ+1n|%l1Enm73
zFPPe_e(W0@v%vY>nTY4OlspN0)^~nzg^%^QQY^qn7tYAp!6e%<cEtRO#_;WP4sh%-
zsrGevf5)nr5qy!cJ8T=C-$*}e0)J`foZW%-Cc>Ha)#||`ehFH;V3J)8!)M^#nen9z
z@G4h&i83ske&7--{IFF0gDR}5!QOWecAE~O6M_HB(w^aipUkm|iNbeU^o&H|2ChLe
zF4!=+bhiXN-*A<e8$Kjc=`9CeD`=qn^$`6>PCVN>@O5?#{&{#b?5L|T{5*!;;WIqv
zI~-&MCq7J9{sfbob}<>jt==M4d2l*Uy`nwbVDmOH2ln<V{A3R6jB)MpgC|;ONnMHf
z!meN5@T;iBL>qY5^hH5i*feM6DY5=XFdN@aYncCghpIKa8C<QZ2^*xOn>oR$tk=2K
zVevB|^ThtdX3|<8g-7#_QaHj+nZt5N2!Gs}YzeRLklw=qA5U{Nw1veq_Rg`v8mdY^
zO=0b+I6(?HO21@_*xsvqzB|d_!SmtqCUCb&$H4DI^na08>k|28$yQY@z-94~<7eUT
z88lI2Fz;k>3XvakGs(rT@cYH!<NC0GqEK%?Y+-Zvz5)Eno42eFru}Zprv;0P=(Bgi
zGQrk2i1kfO{q_F6gID~8_N&4Nu4cWjh5yM4^=QKXZ52MPhDl2PxG2I@%Kgk`@Nn;J
zlQKL%_I;@YUTb_|Ap=wYk$syEpHFzipa3g;(9d}S_ik9{pMV$B0`@$FFBG1pl!hbY
z<LBbxmAiB)#Py>lr4Z)>`!K}O5c#d8vcB+xf1UVvjo6+^mkh@hIJTp(o7msT^}Pz$
z;HMX6Wr*u3lvy<Q66_(?7_SE(rJ!nchefr>w~6xY;+9CVflckQD~R%4D5R>fgZ-8#
z4-)4yv6z+D0{*1=B7nF)cs8cgtl%`0)p2+D?9ZhlBbf1Xy^<%aw*IEm1iooUQQ!y5
zz3xuagvS@|*#*Oa=TjQA;OgZM?YH1Wp`<ujcu-OQMkLI9+3tlL%v2vg69-qc=SfZ{
zp#9ga87zYTou*)!g!i_bzmg57?&_ZGhx40m2o}H#*B<43gaZ!_m^^};-rU&J0o#AG
zE=`7`ZvL8UgY#N;Y7zMxF?=>{gas=jvf^RJ!YY<J*k|^053zm@ZE9Xf1-wCRC~_PA
z>vhoP1x#tV)<hi7LiV24r?5nh`@v9HJuWi00M7DYtnh`ENrLDz;h^cTy#eq)vaR_v
z*hGXs?+P3z*DZ7xPAjyoCd%tbow{}u9C5ymhgh%Yy1(d)aQIyE!4P79HtRBbZ^5G<
zL#CqOX{QMJ5I9_7MD;#=%I)8|P&jQ;p(qi4yEV|_2Q&I4?M#A6+jJ%a;MS~vo*6Km
zI{%q#FsXyl`z-j-heQu=*o3A+k|^&AX}2%#u+d+d2gPu5#L$`tta-rwUnQKY5b(|p
z-n>p<S_^OUPs}*LYzMC$Xofv~ijAz`_QZPcw{R5CelKhIb_wrj7d%C4TdWBy9$Q)b
z1kVdJc4@&co2@Lr!X@3ASA^l?St_l>`bn29^v(*xF}puokHSy?R`IaGH|WKgf4~<T
zE|KqpXMevb9D-;1xi8Vfv@$bPM1G$n&(Q3GjcOjZ6Z=;-y!#p%%yjhC;a0doDPeIc
z9`{R59SH~c&a98c80=JKdEW_E8xv(4hVMyVs3qFpu|LdVeXt<uHCCeiv0YoW{|I08
zSt}yyTZq=zckkd{x2>H-`y=AmQrHG}p1bkn6r2+mA5;zN^#&Ug>n-)qhM#*0|0ho}
zs|G)REBP=T4mmZrL9|az5yyO=z%PZ&<B0k`A3s<c0n_!;Wu1m6>&713f^|gi$g02{
zTVd}n!#jQUYZL8V>HYX3H`qcuW=sh#Cli}8fiEBXw@9>a_y6g%8o@Kc?h!=$#z|r)
z&kv9A_2&`$ca84YIYC%{@H}qtXuqG?lF+~<6MKVfV0JP-uHCQ=OWuSFJj-~=V&y-y
z*W{rqM0@e@lc4`!*y-7RTOT-f`LXsi%sryY90<pqF}*kg$B~Z&6W9Au_g8X5F!}8I
z@jLJ}yDL^BuxM1m<5;*Ls9mHBRuRcLn*j4t2k7>|e5X`vQ{j1@X3j>qEnVF+6TYYE
zsqhANmKq-@gePr__LRe6T3_y$!13(HqLuI`bHBBhu%AR2Ngiy$YxnFGED*uRRRFsd
zlkIDP_ur|E$RK|I#q$br{oF`3&&z_(ePtZ#hOO>i_KSz_*G<Lr!TD0VA0@&a3Q_CB
z@X8_P3lZ?~Plm<c;QcPo?%aj>d;ad5fqV4xECS$XTxIX);g?6`{exh`1aqmsa6hA<
zwmUram}+(d_Kc{y-~lT}KQpGpdSu}t<XPsh`;~`|v~Z7IRFfr~J*?8n1k-l1JITZ0
zC$*$F;rTyF;fiqcq17}#n4cndWiPx;$5bZ)pV`mE!UX$xyycgN8=Tzip2wkoa?GjP
z66U-ns8S5~2WOu#grDUc(Y^yy`5$Ajfi<qK3*UyNVlU>Iz}!15H+<l6S1v0e-iq<q
zuorxJ-Sqcam_|RQ$QhoE_?K-8|44F=c7*%?6O+@2)o-M(SizZT|Kbhc!0(~`7VsvY
z=n*a0Mg3c@HeCL;@~bW^HSs<|3l3?W@=}L&7mk?A!n?U_1y92-y18VfVZ-F;*UIp|
zu;5*SaCQFD6%Cjv(|?8!4tv5ytpHDLeyU-GTOGY>RbZcUgDK1~dtd5VS$No1(v1o}
zY4D9w5#HKX(W8I`<fv05;p+63TfZK_?>qB|@~kcxahZWz#eXZDfXVJyr1ioaHV?Gr
z;HiH>p&#Hd#nQ3k@Xto!iw5xGsBRBYeie(iboAj13RW&e`9FPCXe0<r#d{wn%D=vF
zpCmu5=N?i+ls`l6*6_Dj^rsDl4qt?qx9+?ih1ZXTUUh&o)y-`hVcus^{g>cm@jpuS
z@VAiLZjNxQ<Bz<T@J4q?i!)s29DcU~&g1a2vW6XO&s*feBwAK<M1F=D^m5toBE4Z2
zvHsrv3*=dkVX+zcO=A7MVlr!&M{v;$zn~7Rcfz<U7G_$ay`cx6r8{bJ2bQV$^yLV=
zhg7UC6u$GTOk5PE@a28x4wqhH@coYZP_(VY;sTTQed{Lf4|}}pYHVSnw6q7rdV9O$
zzVVpDm!vMtbi(G%{%vRB2}7=;a`>rF&M|Fxc>i}wqCIey-&T@^KMQQXxCWn+s{X7D
ztJ$bo5%=@LN3p>tVIA#h4s%#YNSQ?yo-Yz<CfZBB(-MD`;AV|Imc;#myJh75DLC%a
z88YH|Z6LebQv*(z7Jo>z?-skgsr88T98X2!dGF&>=NV#u>W>@sNfW={rV2BJ=Qv^l
zCE)`$D~<-R=HaUhN8x9WV>is;0=cJE!f;h>$cPCnT6bTc2OgbZ_O^!Kk+rOF!7rj0
zWh~&jYxlV6VL|_p9y^$GqM>a!ys%%{oG7oyxAhLq;(aQt|8)bgy~F!h{O4d}-_o19
z@FT7M>|yw9+KD-JczEZdEn+@8)w)DCQ67{7KL7Q@j-w~jCE&Vmzto4||9n-$#NlYs
z_CaF)`6U`HBOX|O;pjc$eUasxndBkj_b+$ybi)?*Lzj2Kr^HD_i2NGTR}FT;v_792
zJBfIgtC5Q_Xg}}ebrAE{<M$-F&BGmf0rtfEDLd(Z3Zt;ZTngg{`1NEX*9gon?3UjK
zlO9pJ^9kNiTqW&*-}7C&*b9sOZBA^0!wP?Y?10an)Lv+YuT%?Hw8LHQ`)<90GeQbE
zn_z{}ha<1y=NZ!^4KV3_$7{s<v`yZH^Hp%e(b0}7IO1!Ob|u_vR$x!8S5SRe>_svB
zo$pXh8NBA<n@|L6c1)isgv(a{ZDqqnt(N)3`#XiH)>tO&FwL!)4Qq3DYNfy&OfiYX
zeEY_^Yjh9c*%r2@1bB*T%R2_n<+^d;5lsHT)I1ulFI9gY12<57Yq$ju$mUVU!2@@c
zvch4bQx~2P{SlJ#9kfAk=hoZRC?eiGzQ-3n5qXLy5Z3iMEb9r^d!z*r>qD&Wj$ywH
zSIk@QCDw<SymaWM3!F_}dfpcfVvTiif+@D#w~79geU&`j=U^M9SEg6sc&~@0massD
z?=PZ1XUzD>0V8;UuTlLHEINK@R3F|Se!`Pj4<Jyq`qU|S2d`h-IaqaDR#*deqd8_{
z3~NXB#woz<UoKag!jtY6-g0oh9G|W}TzqnQL;?<!vCTGs_Z`39AP#r4GM^;+pR$$M
zg@oaQs;A?$;Rq##c|JJAv!qTI7N{CAJqYjU_{t&=KWy-l<$zh(W1kZJT{{9;Gnt9_
z>>3IwSUj=pCL>(paWUyA>>X<|M*~X>#Qqk8O&eCbsbS;GiV*^^ke))u`hD~#oDY%~
zfhlSy!~eo@M+7^0;m3NBzZT#TcV#}J|Bbg>rh5(^Et;v}gmW@Sq$lBLoZF0t;6CXG
z2Y$esUvl&J!RLI3X8Yhg^#*ee*kAi$*GIS{&}E(pzEdeL-2tESb<<>p)l;|F+TjTy
zhG9CGVbAH=YIx=;{XIsw;y7d1OPG47l$+?U-Zng!mJi3Wq<z=}->EnnmJ6R~RCL_|
zN73(p6$6|9A@?BiGZ<Wc5)FH>r%@8?t<c7Lsd&KLV=PWYy!)K(VRtw$;@LWpF6rVV
zb_y<_%6rZLKM%EM)PT!GWHooerMomax!}^nU7JLI=J{{Nq@1u*hh^MuIFruj108JB
zU!+3B>+wdH)57EHQlF_|qa6o1Dd7+51ERFBzt~Aqa#;L_eKWCs#FEkb^Z%kTzRsG2
zgV>+@v2!|W@V4LWQlh^#Y&Eoe5f<U*+C}uY$7tp~oQHL*vY!zB;iU6&q*E|YjLa(0
z-yU$*b^He`l!+c3*!|>|&Ip{7r!!9U=W;RFF%G~E$_9Ig{@}eX{{lY1@!kW@ME~{a
zfZW3!@I_w>equd|B4@4WH}Hj#q2NxKQHWl;4mLYstVn#H_+D6*Rsl<NbSG58dpMI%
zm%w_y%BHEXmZVNu9?Ygx@r?NX(Q9(*Tn6l=eDE@{KF~Ev(v~DxPWE04vA)9Gf4+tf
zU{yT_c2`)3Laz2MEaTU9^#UBxI-+$0CR2)QI|ax8eOl^I{QmJG7x6u*Y{6gY3cSQp
z>@5hN8#Bzm04L^9b_&D3w7OFEu*Sy<9%6lf=dZ-lEMSLt$^c@0fFEqeN6*5NUIpF6
z`cN2+n|K<YJio|KtPi#GK-^&!cw^&E&^uUMH!4~dw%~2+eGmVl*})+WcU>?RdJ6k)
z?YbodFTIHheFlg9_dkyAJ09rgj{|rKC6$aMD`aP@C>hC@2FVJQ>{({Y&We;>$W|H2
zDx{21$jnY9Nm5AmF68&R-=ELN-DlnB?mqYVeBPh?P)hQ`^db4jVqs~Hor&ylE92Mr
z`|!>9UO^`Kb&t;EHP~lxDta627~}n)JNzq<SDqR^=Nd+346m6fXZ;IDev5*OWd5)f
zTfRN>uo<6)nhb0ptraj1|98qK^)MWEFq!@b+#t|4w;QIY?(+Ns5Bm<BVuk-)rR!>k
zTjXk+NASM(7QMb)BTU=e%smEE=WK4Nh7XMVyWR-<Z9adX6rRrh*V+t=v8b#T!~IG3
zmdoIKgNc@Tuuep{CYf)psV<s63;xMsMVAim;+^(Pg(Kw+t;qbM`|~#n#KR4o!u(`@
zJi|xUQBiQwHD;d(xKS+7APi>YN_kA?7afkAcykl}^f>Szd7s^$E9P(mZhEU)Wd*-`
z^x)%lc*2)|mo4mlwz9$%KJIUsV*=m2Ex~6GzqeD`Xbzv7zBXY4YYvw0*M{|CC(fC|
zT`Q3Ry72iarM*TlqbYU%aaealWr!Xenb)&P6<#hHzoG;0-9wi^-rv(w+kH4q^2hW}
zDZ+l&ds5Y4w!ssu;_&^0`dgG>rts~~lJH1;M~57|smVQw3#P0)cjN#}lO;1t=1bh~
zmB1+lulZcQMdnj<8s!QRhQsdgePxFa6xv)7gf|Z8UnTQ_W}3|OaKTJ$+ndS!nv`o{
zsq8SltiwDNe20Z~%Pv?sljAg*50rD<ew+cWw^#qRj(CT@ldF2P@U5*&hbWM~D5iIW
z22RrCefJ0HQ*A%eH^RTznt4{?@VCk#>tT34(ZBGL#7i_h?w(nKul2_5AoE|wrzMro
z!P6aMvOnQJ6B4}RFy+6X$Pt)lDsjsg{6)HecK~kpm2~+IheoM*4Z`7J^m1QeC#UGl
z4%qs3Ud9L5_#gLb7rZGX(Y^}~Xtm?7fp^Xv{@4sxge`d2!8U^jAJoI#r;j`?hO=Mv
z(p1Aw<f_+7;7cqENiSfAKn3j>*egGs>M49KyCORd))yVSp9R}yiLH_OE|de(H>SZi
zH)QCLcoyTmyJF&C(~_;(dN9p_-n9t$ii-O`eVF$v_qCgF+P{$zQCRlN+*fb-TAjKA
znZM%TnObL8SfxAu?hbg6_CenjSg~zkbSJD5pXgu#OT`?NC-X&k><ajF5q7G(bC1j?
zVOsI{vM!u=tZJkkrdv+vQHPZu(<*eqT6v5&RpCP)gw{&orW@NQ6<}*eCmk~XLszN4
z{~<WYG5m1?oPR3#w-_v^@NO*$ULHS^C<q5f_P!$XIYcq3QF6me(e#W#@b~~tJPT~S
zi^bX;Zms8{pob$hPE=aL>5q5BZGpdpDATLJl^PNoHo|R-cGhHm2A};(PydGE{lkGv
z{Gzauwe6lcIO~J2w>W&YBXDRER(kD{#R(g^7ix^aGBFXWT=1{<-rYlRm%R`FPIzsI
zHlPpwe)XO=1MI=bZ`}(^vfZX9^D)TV8FqHU)>?_yWWI(w9SKRTF#WE8=oQ3YJ$Kyf
zR0S_H#>$iUtL1hHy;rc7RB+c4(#I#QtDnPL|AYwsg>8-FGKyg5828E<nC~c+M>_2I
z%*l2UJ~u3P=^;GYZ1iseKIQd9>Mr~^T_tB07BwE-9R<tDiz|-7H}Z7H{owL0%HL!@
z2>Rxv&Kt1H?{VK@xYzygP8*mpFWjH3@6n&o1xuJ#)rI*doJqrTKoeHYo7hd}kI0?y
z-J=1AHMHdo!Oq){)QG{uAwM>e<+W~PJr;rU1>VGycr=exf#F@Sx%qIyZ}_oGS_>nb
z5m+romOuAI-gV&)o@bhx1(Ef8ZLKq$gH5PpSjqCf!<kA|u*>En&hv1kmJ0tXxaQzy
zYLegB?UigC+<3&kkd$Xw!WGUKSYzsd>J)6n@K(YBuD)?-hLmsS?_lODa9-JR5GgOg
zmF5lsnDb6j&}N*URjJ$;d~m(4F6%ndQ&{4pmTx2ez`$b9cBFrm3}sn_J@c3gC}DPW
zukm5H|J_*w8dy2az3T`3<iUmsa=tmPS!eaYaXv!#sbE10`><~KQs;;LBtEb9-g%Qc
z_@muq51G&7*?Ak)8aP8C!R`;zuecgND~F$Hr&g2tbmFv2Tq!J+p{6?ruVmY8D1;+M
z)t)TC)sX?i1@P0CQ}X0|2u@rrPlMUpzmJgmRJ%RqK?-ch8RGp54%{BTH4e6%@$4k$
z2eWQY--FLraaxh{lQ)o2cN1otTcjI>mrr)(1i*)t;xh)|E!nj<uEJ@O#%IX+;#U7-
z;S7)eTl?Mz>#NVU*}{LSKFfTCk8cnyv4*#Ab${0b^Q7;+Z2*5|;l2JD?ujyUJO@ks
zsM^{Ehe%)SJp=!hiZFf;Z<5TYR);yg1?F2|>OJxI<YBw)(iAd(iSpS|4>|aYv!)b@
zmrRcRJ|qoWYSQ0ohU31-G)uyHaan9Nu%wmr0bw{J!`!J3{`o4LRS>SRU7~yiPrC$7
zvcNZ(EDB!3hMPv;Gs6_;7nDokwCi89H^c64&W@A(uar(kQo;7O2K=7G-&<7vtcBqI
zBOtiv1)Q7td|(B>T+e7%0Mi@i6_3M_r*#>N;b0fu#4-3M-N0iKAL{#y)u9h=(b}Q)
z6n=0hNw*iyii`W11#4c85^RR`VxLFk!Ys2abd7NN`6K(%;TS4PjY7D#w1JDPk7@e8
z^i$Y$<EfH|Fs+l9b3A;6vZyE<R;^++h=VyhB-9?j4EuU)onSvVnF+FfRSNz<7uYbh
z(tsQv#d_cC3-E`DCcO$+{6D_WMlef=_M2Mx0OybVGjOQdye&B&mlp&Z&cfgIZ}gD!
zm1s;Mc@oa>Xcp>*sb>E>bsDau(2FJY=f#_Gj-&AD<{|lS@Xnw6Wfb7+O^#1Ueblv#
za20^}sEA~d_I`ZoZMYEp=tVjGGF<d~&3XP7`nQ6)OIy&s3Z=M17vXKULz+qdZuItU
zQU`p={I3H$X@4Bq&%5BgdG|h(c-XfN{qKWer^jYIN8#{IJrg1Ds3uhex&C~P&+5>D
zKi;D5)rC7oZ~xLG%f~-eF@h<5SC++Lg`c4#Ht_GS9rRN0fZ1UkXZUDT+)GCInK<1e
zPuNY^v||@+&+&SDAbfpb<=Rp(&hN{M7sKGT;);kru;4EG#uzwSd%sg1EH=zcp9yzA
z@z<|`YmzTyCc`Crg@lXY95*BNhw#I~Tl9r+{nNB>@vzP>(H{?Cch#s{De!PfOiLQf
zv!R2H%*Q0oH+mo*et7qoBbl$Mv*yjF7<lYP<^5oI=+PegFt|%a=ywSG>uQ+p9oWUq
z($^23O88kB0Jqw|>mt|tr=CWce(>(So2|+577V}K;Q^2SXIt(KU&|}*cZCDF`@Ua>
zPv2%xvnR`Y$sBTk)g0o)F2mee4$Wjdus3?~zBxQ1QO`ljw>HSv*A$-ZT`4q%(<i@;
z8p1NMXQ<5JzkUB+>cO@q_%k?MSz^I`2A0#@<WJ^<vMl(sMIE+sKDg^NEZ1h@q5@Y&
z`PgW{?jQadD#O{51*_!zTO2j7Jp$kIpV3r<OU|a>Jp{)c)pS1uM+@v+6@z!a4r`Hx
z6Qy4aiNMmI%Zw%9`)7GI_+Z6|*&->J=Sus5eXy7Sry7|*O08WXl?`sD)lL+F&-|SX
z+5-pg^A;oZGbP=4iXMI;o9oXHvwvm!NCzvockd$Oo8;DDr7bYku75UUd=tL=m>@N5
zD$KXG8&=kM9{n!}&pRKSI?D<_%DU>Y3Qr$!`auuh<r)1x4^Q+($uPkeLi3tu;ibvv
zEwu0*4W0wP;qdwn&K>Z}x4+qb!L9~#MdW%X+-4Ru2<Mq>r6%p~rJkhy0DRSX|NrN!
za?N=1;Uj!HM}C4_|1Qe;RQ15~hmHKn^>5bCA-W#6I^rtu52n;U<xvOkQ;)77*E`J%
zN7PH;&s*-BlIwe@73YCsI6t{?fn4umYyF*);R|tzlcYcBmUcEsgl|4A448%+q~!m3
z!DT^)ZDf1%QgXu{aFD<iGqU{iYsL#Y@XE&Y4di;=CgIqx1viU7iy`BY-So??i#HKZ
zQ6P7X^e1%MH9wc($A(7+S>R%iXWZZ6WRb1CWWKL#j;n`%z~U!q{}Y7Ot5mPG!U{PR
zN6Gk<?d`_!b~sD6I$H*QMdxe$8rINj(;)rN<&1-FHSmx@cNwXFj9W5K7Q>9ZJ(o_x
zcZKy$OW^M0zGhOtk3KGy&VpT;I~>o!p88g&vte_}Pkoo*y%S{|39z+DwI3O8)9yDv
zm;`%9Hjb0_m(`oSISg*Id=%{ji)U)=jexf(<gdBII-aTL-Qe;QpXW(@|DJ3)7Z3Qw
z-4PSgA8dRP=Boqe)yJ;hg9WG9?(4ycUXN`^|CHD!aGeWwW46i8gC{E<h4a7$;(kme
zu&0gI0i!^a@3Uf?8JKfakmCYuJ?FnV3V)iT5IP7aL|uxVhd)Y=(@VoFrUF9aFy-^#
z&zaynp9RMSxZ>te3jWahy7p7qrU{s}o8{9=0ItVcPnPH4j;-u({=m1S?ZSS;T<y_!
z$6$dgY2wrHHsutrQMk0zsFuvH7v4^<(F+H^^|vD1%lF|s^bw9MkpDXbe`Woa+78F#
z=Ly5G@u%fmt+0zh;6OiIUhQC51vlD+1$>8XN+XqD!9sc}%%9<8iqpBzVNc!~>o4$w
zt<Et;@bf75m2Ox_ebh1?POG#^{RHbpGHX7Bo%30xI^gHQT`v=0I@-`ca{ngQOZD(R
zT<0mjyBVHfsild6chWquc?UoBT$v4rbC(TQYvC@6@(aOm&db*t^>8nKyLuBA7jPP^
zge_HG=6k~<%w1Bi;hefZah|X?wO{>9IJ3We-35Nb-@m&Y=C`N#<pgua-Oeq9@3qxw
z*}^AA@Y`niq&>ZyH5~gPEGick-`$gL40{-S8_b7w&v{<I0E-q&(U9v^n5*)D4xDW3
zcRmfCWlCz)f+>3hCgb3IFAK?2u-q#rMRGrSaDNT!2{`RBb9WT%n58!^3x`l9T_e}K
z-%%Akhv1s43N+zx<p+(&0x(xtVQw@mv|16x2g~|uE8d2kXSzO&`lCOjywOPRZzr#u
zo*09dXMY^XfMaG~R`tQH;j|yK;q!m?_w>U`(^rp^<M)#LBL4wq^$Ca}$A9(D8Qo9t
zu>S82uV5FEzppyr>g`KfRq*|Xm%F>*Zzd*H<a{{4r9avN7b)7(k@*^{X8g5VVKLfn
zuTJ<1^}dR?@FGL+J5pczenodSz>VjQA13w5a7y&ZYdGkZ>YcCf$nB)FHE`ka!bMVF
z#r>qp%3+g~LbYG;$IjIDSMYEr`|}z2N2!Et3GAcGN=4e=?ffm4WpIe_Og|-_H^>{_
zZ7qa(y2i!Ge3u7S*M^GWCsz%U$b6Wo@d4_2u!xG*I6d4cZs_q0J~%J<mIrQ(>KV+2
zU;Nt3%m-Us%-@j@ZwXwQJP5z{=XT44gHy&8W#Nzhf7749f?RbhC*fz8t+qXaQ;c8Q
zo`%(8x_B~Rcl~`Ibl_r#!=cG=Lp7toIhcl?zVrbc%09ks1=l`x<Vt{Bo_s!Q3ttI7
zp^*a5P8A7}?~N>erIy6P+>g>cy<wwy_wOWsL8qHeIPAyPaOy7HoNbm73D=!}<Q50N
zeRIU;0lZOlbRYt5tK8T22$pU<xR0!Fc*TnG6};!PQ)oCm%c5yf1>2Wtl}5upYkczU
z@bL{dx$eMrirXSO;V+M@G|2j{Z6C7w4&Tj>DhY=Fb8UF}1Gc^C`kmzexIZ;&0iMu~
zI~54udFeN}1aG|L<#r3sHqb98&-0Y0V+MTTLo~9qw6GHA=0$(lHY(kX5iWYbcF7aY
zv-NM>1xIPD-?;&w{b}%!AI`i-J9izvGIU^85YBU*-s=VDp4irM7}mNmf9oooba|NV
zC@g>9D)k!tQ&&5L{EuZN%97dv4tOBcOP-IWGM<!nfsMXxEYgR&Iuw)a;Ks8bDbB;;
zw|E;#er?aEeReSK7DfqcID{@x#2y}?4N|p*m(NedUxVGe9STh0_bjh}xxs1gwfZdK
zog4`@A+X;T>EoB+!gXuLQ25uy3_}w*u=Ks}J-EWp?~MUmUHhOT7MAcdo4g2DJ@R~#
z1xuP9I;RI$cB%Z$hGnTAU(ttuFBe)B!fgH5-fO}ES{^Tp;R@NGV_NXh>EV6kdAH|!
zf%Ylb!a3Kq3NEDQuvLd2h3pxuhfg#PcBsHcQhk!-e=Bs+XGT=vy)`FOJ7Eu*9h!=;
zZOoRbZn))zhvhN2IN9yO7nnlhK<i=n&VA{;uke?E)FC<e0!umzd4BJgySZ2d_70^l
z{|&F$**A&7OMU_T^RQ!HWBgutFlDG=8TMHadddw`ZaH^gBi;v8Xu92CfV114^iaVk
zdEUn`!7lk6$~$0<SVjvfxSYdchygw|bJ=q<Ea=>;$p&xtNjbUfhw;}PhMB#vjoFOx
zUzkbfwvixwmj7nMEF8nhT_6mvzWLBU4<9s+XC?n%>G*Ft?<cH#wW@-=&#1Cfs2zb5
z1!V-u|5xNUpSt@AW*ydSQh_g(+{^w9uhBIh)PQ6C8FzNW$MUs;$@gN@KQHk2z(tzx
zX7%Bdo|+49Vad&1_b$Ta*7s-|Nq){V8!X|E;+wC&hCO88owbHtyHDP(ftedmRFeO(
zaEF#om&0jW>$bbVLqGmdSHdj}$2>h@jxckF68ND{Su^=Ri&W&##4`BqN^yEP{AO8|
zqKM?bBRo(3$C4}7EcOEKp5<+Q0Q;Zc7gqpVWhHQs|H~b%eOyEGM=jr5EQbFpTo%fO
zy*sGYUcmRJYOfT+&n$hy+Tm+1H1D6lw3nv7bi!`CO@qn)(uFiA?ZW#m>GcD9$?<$I
z(3mFkXL~&eJy-{;*}T2T2J?5Bw6(x2)vDX}z)gEtSK48|r&2%3`?ZRixqBbsw!;N6
z0x*~Dxtw0u(TQgx`9I0h1<B)s@Xq}S&&c;;hZz$LhhUoTv>b=vDa~uMV{qC#pLfzQ
z6U+B46Y#{QDcPfNMr!p#QXkwnFOHJ=##IkwwvqZIu~qKPDR{foE$a=aZ{7xvoXGpY
znDuoZ3V3MS&i=FTezhUytuRNZOV}CMF5K+=PWVY`NvAa&>!C5X8#d9U_qT+terZ$*
z!wa(|XUTl`$1GI&_Q9%b<`0YE^i{<;Q8-BCVs$@!@EQLaAI$2obtn0Lhgl^>pR}(R
zq6u#{;(cv~(X}dm*dR=effBy$w#Fh34^ej2^1+`M>wN{_BtJhU^1fbcoi2YrZ1+HA
zLKY5I>}2GHA1Teqlm8Qpd9fW6gsD%LFss8e-tQlC!PRso)@NYR;~rH!@Y?B`Zt{Ig
zfs`m88~jVwj@J;Te%c|&0nbdliz45*tc3YK+6C|2<T7XuU#aFUBjqt7(W61)B|1V|
z_LB0Fb#O~{fOTE393uU}2d2KQZZMBHeF`aGZBNe&9&mB%v*K-VO~Tg(fB59lNxwCm
zujy}$w!tv7`R)7bu*)@%o(Q;UxYS}Aer)mZI*A{tiPiKX{ehgrmZ2m#Qq1`TsV^2(
z`))pf(=0a`lm1}K&Cuy=*pG3y$Oo9QHa?ofw<L6BD3ku6?ghm^@_ovFhqNa-@CJ|f
z-$*>pwKcZadGNEY;~MYa6YA0YnXp3f)08%NacuX_blAX1QL-L>aj)^ZCj9x@=L`~`
zq`A}8L<0`0za;w+=Hx$bA^?l4S~QXGQEIO2KE(&O@DE)i->Xc`iu&w;rT8>824Szq
zi&ooUj)>-OBwk6Ulqzw-7ynP?rtc){Z~5FCI0v^g+_oU=FS$PW;tMP+m!ta?=Gy$`
z!Do2vIp-*eSK@AFIPwZ!G@=(I%fDRQz*`PWS@>6cfZNyS&ZWafht+fYVe7;RrH8OY
zW2pjJK6vfmHdXj|hVLr*UM60Kndbzo`IFQ351e!QxvnH^XDM&60r6d<{b6>}F#Ya<
zx-D>x?amZ-Sb*_sF&#{+J6OaC+a3(yVu4Ez3;EK)Y){`-v%~s13o-QY2Gz?Ve6U8A
zxG4o(X!)>32tJ&$be$5Gb3P#}1y9}I(Z6~F_ZL-PZ;|g~qK@~>{)2BT2hSgc9i*13
zrr-_wPwtWUHwBBb_cQPhP3;XN-dW4G^}%;oV5?0UiKkQG4t?<h&Ua(jM&hxrb49ZE
z!&A}m7f3uFMfho{0a(QSc%v!Yd{gaTJ3P#<YE8ax(05yB?1Jn3XS*HX0mmheX80hp
z<393z!y0oz<U6?a7h4pG*RNW8uuuobWyTJW_<k$HbF>ZcuNh@^62HvFCGqhk962QN
zI|R<$I5=Jg2W0f=llbMt!3OOj*x>W&$K-p26gM}U=P)(X3S%-{_Mc%}9xUW+V@~3k
zrK2|gD1h(nW9i6(@9<SWO@o{De>sqN=E?<|w-4d>Hxm2E|AXgVDeO;#f9U-aegQ`w
z8&OJzpDsMTUj_FszRZe&SLSw(ye1Ymeia7?Y^&92g1zs}-?|0Q26)Z3!gSjAQ*Oh%
zcZwT-fG=#gxG4aZ4hb&!1pjw+jpZiH5^;oW5N>Jo{NV~yFAtQF_)D=jyZ>H?!(3wd
zCt(Yl4r537yv5M9X?VvjOgsWV)KB=n46Eeq?X!jBoqkBJz>>7()0g42FNvw-f6I<y
zyIx&{g+m17x4?x=xt*8bHk*MbJK>T?+A{j^`4z4|46v~Lh`J&CMz`0J4W8E$W;q2L
z&1q9|!RgNBqUx~mn{Cd5@RsDM<)d&ur3alTJgDTgLlM?cJK#;?bM3n5TxH;#Ov@G-
z_|pEw+lOIVQ*K!$m`&}at}x7U-}8eC%+4ooCj#$kkU37`kuRN7Kga=RJ`5Zr@yi#>
zT2JkT<y4i=koed`waTi0d~o~?Z+b1^CXN>uR$%G(H&q?rEP+)1aX9pE>JJy#q{&BX
z8vg7dP!$N<C5^rqg)h97*d7cQ&>OrPgH?_$ctpTnot2V9aACnpBl*8}(#n3dpRjf6
z>w^g}|C6vhe0lb|Ql{=^63lVy&zk{Q_QCC$bl8MPPv8^mW^zX<3*P_y_0i8H|FN_A
z1u&2N?nhnlcfm8O&*1U^|CjIKnE)nR^8fI^VLSnE;a$zto2y_3{gC?&@XPqNtM#zn
zr>@m%xL~=arV$o7C&N$!vnYj%cfw3>z1_;;se11l-EijOK-epo|JHxM`{0~+m-O@D
zo7?x^{szYdR9<-spH=>~FbY@Ni^)8I&90Q(n}FvYhp0b-U+?nYun5QRsVGc@*{#hq
zmtp74ObyAf%5AY%8}L8)p6^$p!{LyO5ko4tU-wN`BuSSmsoxH3{<qE958nRQ#DW2K
zmAe=m0P9mpbdvwq7e4j+?Flb(ZRFyBO%0nj_`o|dJHq(j{=;j{_He1Lt*|g0X|49n
z5jN5|a$gGGWOOCR1itX#?ExA1@s6TuGdOa4{6j_9AgGG>0(@Z3VEPzrKSpuH2tM4q
z-{=%v+D=D#2Ciq%_<IJ<EY;j|7S?xjx7LRb3!J@ig5>WJe_;rR)JEJp1t(`y?lXgL
z#RnS6!FRsczP5tzmR7pR!!Eo^qK@z)XVJ%lu+QHKFK77N?AW*re59go)B|Qw{j4Pc
ze|hOB;|<rpqqmlVugs`s+=RbxUu_YFGnl4kgW*0ksX-B#rlH<A60UpmH-`iE2-?1O
z4?g89@_H|9l{ajg4Cm}j)Y%A2u%61uggF?lDXe?rc`K#8ObXmTc_w`cR@GbyN`u!a
z#3L5q<#P5t_u)j5t#cFb<bf>f1lUq%s{c34##8?{3jWsAqWl9s)N<-1*?tpe)TXcS
z-G~edPdN9OtIY@arX!CQIX=t1Izk=r;Vjp!=5Y3;LPR6XRQ=n)5^mL%)vSS~Z4WW1
z!wwz$pO?eb<yj`={4@%lGAV-hNv`LKz|MXr-sZrzRn{wFuvT;S#Rss&ueYBm;ds%K
zH}SCDOFp5^@ZTW`hbUO%xB0c7sLy=+PIQOBVv7~EBe0BWO-ulMPyM@h8=NFL_{S42
zi<EBZfGzBlJFdgV2`6T%VVf??gO0HI&KSiS_@GNNmp$yzliWqxx7E_Vk~46+(*xRC
zSTx~V(^)tzA<4Z3j*s~(b`q8v>8@{u<$jeMKMj8gX_x*02Xr-OABQ_uDFZ&iE4?=>
z|APf~Z=53SnYA#6M*;RKl$IZYrM7HQSB6V<MRw1_PAPPSN8r(&MwX;KZ=Gm-dlYU@
zFzosV(>t{YAB6S2Z*grz`CN4gRFr{dd~Sx*z`@SmG=gw&`3IpL@b5)&PGR`8L{A(u
zJnO<A$OE6f^XCT(%#i!(J}=zjzO2O!cQG}uvcsHz_B_}JKVJ8w-wUgm?AcDvAG^Nw
z_1*AKYS|0q{5_gy4&4Jc4$Cwig5MtgH$@NU7wa$|Cd<FNxQ7|u{#|GKB%D+&cVh=!
z)M2kc>dSn_*xjA*fxQm7x^PHr-O?7A<3P}#b8w)j%QjkAcO}Tm7%rk!bKV4dA4+^~
z3R?v}Oxz47N+(CSz{mDFtgn0Fc~w-w7gt#PO_Lxc(gQu7y$FKSStG(%k<PUInlc1#
z93FeI0qIPwHDBZ5`n4>!KS<ZJ?-WUb+2<+$TZ1*lx~cQvsK(MK3$Wt!fNlYNHN;Gl
z8p~fa`}}GK9{cmR_#e{Og@13Iho28Q_fsHUD1G<`We3LB3>3;MNWUJwAhj7b<@dZy
z_V?Ay^fnfFHv>h-68wB^?K~?yUS0Wv?9Z{0l?EQTCtm5~ENrxgnwbyg`t#Rl9)9UX
z87K<hOm_(FhuJCV><_>n^|&7lz^6XYeLf18HT1iw!CaF|lXfs~oOakrxaK?U#jEhP
zoswlzFhxD%f1Yr(cxvkb_^_~WQ2^Xh%oE24*M?oyxCJ-phUN&s`z%AtBjHPv8?Um!
zqBaeBG4Si1R<~H;(&yi5lHq67ZJM;Om;v3Thp?r&n8kK@fJM0F2`u}fIBL-o{ei-V
z;%9JT4sGT#Y~e7+RR*8De!X)LKD^0~<~4k%qW<R)JoYH<dLyi17}a(krr`VRJpk`p
zF)ojV8J<6*`v}je`w!oMDPKKa>WAgbFLrsuMISux^uQ`Q*Z*0<zP9QvUtr3w7st%u
zPju{5@8OesFBj>;%jtL1KEYKJhN;@HPN%U{2RwS&l;Sje*Eq(vi{#hPn>+!F(U~wb
z!z`?qw2#3a?;?%g!6rNO6%^qM{|skq;SWNlk7VGIv73tZ@CHfah=Xu{szz5Oyf4Xa
zRun!_eswQ7e&G`PulwQZ=_5riNqz@UWnTEG+{JZLUf&V}#CTwedG5P~@RdhVcUj>$
zdxe2wxPMc=9W#8&w4O2@{(YyqZ3o=AqhBi%Ug`OjwG|enFm)s6Gvdnz+D&lkkaJxe
z%tn8B=${9kcYm1q6$Br+udB8Mi;b@y3W5K`y{4UkzcC$}a)9+)ha7*w{N_iFI>UWq
ziCly5$N~Oany@%U)6HIZ^)=6XEjUiu=5I61G{^gq8E$!(bEy_?X<_Ew1K(9@qpN`b
z>Hlz8LVF9!Wpgct8ywmy{=iLZwtTrTJ{q9@1lyggxt$J+9d*(946ku`nWe!2bFJ=8
zFzc_6_4nas@0_<Su=lwm#j$W%!a0Ll_@-0*?g-dOTP*V}Y@ua4eH-rB5!n13o*Zk@
z4S>5>ba%gm%`P1|<_Dk050*)P@l7=~(;cpP*}V7+_J2oz_d1O4F>hzXjf1-5C*TP7
zF})XXq-@*zDfrx%6SY<FTBk>&9Q-Bf$wjh16i+7m<YB%#nr5=U6c@rW#NgH4M&=#x
z!J^fd5^zmbRR=l#H<6t`_P|494_^$x`iG7zv%$<8sCh?W@tApDD)?JM6U`J%b4O2h
zGwjJB;YP}LYwS7EL3cb4Tm7^^f%4yXkBW5wuD@#^@)zmq5hFXwVE?>AYHFk}nr5%O
zfTMbq64sFZg{#~6DV$`M{c|0zrcO}Lhg}&Cxs&xvC{Hn^!V&pPJ6B=5YvGd#a7W_y
zL%-qAJg>Cx!gNJe0Tb|P#c0JSSa)oS=_jmq^i6sQyegq$Is(7)bo03hf9KT+{s8Y=
z&K>lI`5!#&BITja;Z)%cv&7~tHNc{5Pxd;)8~<B4-VD1-L~nD1MK*eTcmx0TX>qcK
z!@s@ase?Q6AD=RZb-%n;D~3zGh6^shmec?4mB4CopOXw>N(o>7e7L8Wb%Qp1?`o;b
zQ`r0)<Af&6dPs)qG5oAIrbG$$R83CFg}0xKd!ztMM6*bw!(q-5(p>QNnr9~DdQ_v}
zr^*9sn#s12`u8+vYzHHpZ|`VT1|L}Z$h`|@_h0TN`@iOWV2ldx6y~{74_BYySlbL+
z7v}Z0!7R7`Gu;56dHss76JDhhb)|rHtJUuH!cl(CN9Wwo-)mjk{}qn&($!pmwQ9%W
zhvDg+p}U9SlXG(t<b2VD+6s@tsh|8)=U~q68xh~&h#dd11z3LV!o%;d&X%19|6m2_
zD^z_j*ZQ`M4X8h6+fT6c!-hRc^fa)Vq>gtF{BJteh!(zFAsYD+exk_N!U&J9$>=x2
zbz^kq<a#<qy~C~<zMuD?g9{Ge+ul|KQyh(E-v`HP9I1E>`}wXHkn3&V$-{w#u$Dl#
z>Rwp1#KGw)d}L0cm-Iis?mE1G3_qgf;UoP|ox{(9bl5>)@#Ge`vh^23GD&ysj@=3u
zMmkK~hmYP(FDL!cn4_Ck6s*kTMNR5=_wKDCVeoTlwf&^LG(C1l-GuLrvAB`?O}n|&
z&JX@UJDBtZZvEBN<_<qu${Qi&f7r<Vi7PzJ>b#AdzvFKrw%fz8axw;_{VTAZ9<_lR
zOqRT>;h1$xbyL{(#mh!gAI!w!nJ&NsqMg2^|Dmrhch`Z(D(|%9z?!*nI+}3V_hZuu
zuzFqPOEtLR@q%13{3zn_-Q)1%wrrD7cv`S~Q4X%h|4qYTxt(Wz9EOcj3lzxstBNu!
zPZ*|VU+cLIw}=TP3c`k-+BW{MrGtLO@9S8<)bBcSe^OIX-Z}yMWv57y?eXlJi2VwG
zb4qJ^0QXLw&i)458S2P9frFi$oH}8#YPB}f-fmSi2Xw>!tZQ<lKlL&kJXHrrbNuKk
zhfBC+jOyW{--$}3KTUEt`lbqQ&7uh-{rjQesP5OW%EaqGt#F4|WKtm<^C2dx3%>0<
zkY5ach}8H;t|y1fKhfvGo2!aW_QS`G1$YbK2UC|{lKzRw?4Ra+xWe*Q!Z`dv=RdOq
zIEwQ4X3`#(j<5>ff#>QbQ%HSD&$)Os437MeOH2COi-xXC=iro;yQ~cG@#80c>caH&
z?RlhqT;JQZQvv3`WFD~-KJ##%M+yESBfLu5L!m}}uq-UHpsU6P4@7RwJqjP(J;Wmd
ze_!t2aS%Q{N9!O4uNv-=J`8tmOgyOwNBe$`lY~Q7U&kDSb=p_6rD1-#5Q<aq`1jIn
zA~4_iJPma?W3ZP~4CbJBt<Z(#hN1%aVN2auYJK=e)Uy~txG2!b)fjg3Gh60@6@PnG
zo5EZB{kHCdNAIeLlJV-%_x=aB!PCW|JIMGU*gIZr2VB^A&f5bPDEzu({TiOX|8-@!
z0kd3bTU~`?ryplrgJXnlX}81KcOO^<!X1;LO06)5Q0p=o?>2B(zYc+)>b*!L<5{+p
zl&(AQT<F~`@vu<wQ<E#OSi=ixGJZ`{3v_XSqb=edlJV=NsJUc)nCs9xe=>emaI7vc
zg!PpQrb^-0j)6zzVDYaGtTpgUYn3zdu#2W{2pJ!Wb9uV+!^U=sHl1*ine-h&*y@D9
zhhDgvW%leIILOuL@>lrK5k<w_Fyo`EYh?VoyqNlk4t8GMeBu)vCOi|h9UjSN|J)9<
zAJ(3yg3Dy`c**#*>Bf`qn_yP^>K9G0@Bppqsw?^j{!<&t_;l=$&4Iu0i-8OG$oN#L
zLUd&eUixe<NXFaL`gebg!Ze&$%d25?l~>W>@XCy?Odm1JNxx7y<&S<7*&dgK&vtv5
zV$frjq}$}NtlGhDH{5S_!zP&ve7bO85x@Coc<_EQlQz6Oz`a1q!@0KPp){-<*ug=T
zKX>VJlq6iG+VGUD|3>;VKU(;=zA6tXpUr#R9ckdGmom>u`BYyJOPIZi`};rIcggtv
zf!fB9X*lec5-%Cwi?q9)8H9Ca<V#8UNv~_m55TuC3!Nh4`v;j34?e=x(%dm*dr>0}
zkv*`I6fHkFe;t2@_3B}x(-UQFaKCT6N*#RY{rl5oJYVsfHv1LK$yXgq$}c<cPh2^C
zN-9%;jOW>vW&ReyO+|N{N&Ptam8l^Q=J<X{fYh%ho%6z(utn-F=UjMBP-n|S*yUJn
zOd`p@FXeIqv2@W_a=*2!Fa2aJ+}P(#5eBQApUn%0Z*TffJpzuNrw+XhOBQZ$@`00=
z4JZBKsvT`*zVHDxyMAAIuTaiuH+V9oO358Q|H37fw6{_D-<+=S0T+QX8~E9-q@Nb>
zFYYJm_VA&E^7m$Nbd%p#3z%z^LG}Vk|9M2v8b0PDBVY(qGSHV_f@KFsCr-j8-EJD@
zB!Bs?el_^&ozny7;e+iCN=k5>__Cl8{Iu+WxB|TGa&tN9Uj%Y=7RBI31?Dq`u*s+J
zpCa%}%He^taKXD+I%YUvTj?v(|9p1p`^N}do8LS`?mtq8eWoT{@Vv!cu8M5$kec9z
zX}FNWRfO!1knpSeZ?FNkb2Zt2M=G<A-{D;xxuQ<6YN(Y(9V{X3r9;Zc%X{OsdRQ{1
z^o>7kzSl+WB^(?Ysv8XN3f-b!2A{jsTtm)>o%&^l9Qem%q~1OFw$vI=9vmp$QJVxC
z6?>@1!ZOdkragi!2R9krhxJUjcaZvU@<+fgcUVZ$K>9hHC_wSo6TYIF`tTL3&YzjO
z7ap7Lrz7=y``CH`H+)%E{KhvpkLMpfE1W5#*6<y^6P>k@1rA)CHz4iNH$HlL#u?kc
zAy)qrP8vG>Z3@2E_d%cBPg}h^n)MBi-PZYQ5bn6J9{UwmT)6H<`Y&OzsSE9}>L=sv
zq<s!<EI-`}>!@!^BkgmtGMl~%HXZydLAE#1<F)Y>-0{t;hP3}SFWZJZcvL`H_XEuQ
zN#$h@{I=-Z&sNxh?kH<I{F1d&jI>u3ANH*e;V9wruN&ac&uKfN;iG|6+N6J*v6`=r
zgd;g043YlrdC2!5KlqH$k!z%V()e~?y8#QG?V={_^V)p#r|a-sLcAtvpQlz|H@d>T
z|A`Nl!RpVRMOeZLW(6))u)%7<4Rg3WL7DOeJeZiGqD#_kp2e2KJo_^aXu}uwD+?6C
z+Rvl^D#I(esih=;UC4tmCAjLZ=&1tu^=jBNNjN~%qmSe_-<9z|9A4Z^ZJz_T>IF2h
zz!DrERSRLupBZJ$@ceC)PucMJOFf=EC(H-rLfKA^Z*n4wAqOrf_cbBM7n8d)H53**
z`_Z3V4=O{QB5uPyl4ls-z}nplFI-@$EZ%Wao)yBTkDcID)_5P%|34RbCZ!E8S$e0E
z^&5)`?>h@GU;Qmk)<4N?Qy>Xnx)O1gtbe>_I#nEIWco8m(zV!rgwen*w{1_6^HY;?
z!)G&G+u7Df&d=2KHi<4rJpYiW>n7I=5fy*#4wzPe$Fc>kOyx@!gzvcVM6JQ8b|SgL
z@XBcKKdMf=Z!QQr+3tYxyezvRH|#NGZO{p)z5m)E1hZx}`<BBgzu8hH;5gyTh*xmy
z%(rcaVTDnDoqV{0DLqLZzBQz8_7r{|YP(ex{%#q1J08~Rclo9c8)g{d3rT#BS0$&Z
z2TPT{<MxJcrCq*q31+2^lDGl?{4UdH1s_<HS#W^Qm6zLIhSSOyH#x(e4k4ee!jA8v
z8cpGm&udohu=?iHAI;&m^>;mfu-VcDlmB49%<$RUu*@-9M>Tj^#KiP2{4o6vCj<OY
zo>%7)ytQtIZYR7ta_UC{+?Uz+_m@4!*IzEFWx_*Qy5l48l#t)2WH@N`uWJ*$hgEH!
zq`Tz=ST(@C6c#}#a4v19a4CGjM~soI|45no`&^j6_^pQ{d|&tGp$xdhAnmm?oO3$2
z_8zRaq;gUW?tT21FAToB&Jab){|#sE?mIB|bzW{kSf_KvBLKcsFkvkW>lqea_Ja@R
zt}T=EITx-Y;SAem1O)TLP3P%(9N`|ZsNI}!u7A<6F&xsnDU%1*y667M2#%WBaflU8
z$YV)41J`Ic*OL5nn?@qkVf#4`U1oT^v8&`DyyLCCAP2mBKku<LT(Ry_#ssTLMYplT
zReHz5+2Co9>lj<%eDfXWWQ5!KYj_yp`Na1YyI@z}JSKXWZ|42NHh3lA&vhC&J<jwf
z9UMD8YO@(uylT=)4Y#Puw5(sj`93kqNCTgHv%hi;?$7<1u>qEM@!Gox2Nv4=rhrS<
zT<PcGjY$^Xf6*Sasp_we!?hjXYgXanhjo@?@JpqBoq3pc!|ulKaCFwW#6|c_K5O|m
zcs*Hj|0HZ}=D^+yFG|%pPm|><{5SN#Uvi7?4Zx-=y=JYji3j&*(*K)Dtf)4@_G`4O
zq(9F7tN-K;e3RmuGHJg@Xm5pA!qw3iEJ%O4$7FP>1a@t!%Bh3d)cM{Q!ar;tzAJ{~
z_J<zIfff4yF_8Xoc(#W%3!V<>KR}*WZZuNzNrnH29rSt(d#%TtCc<+AbSZJL%>3rM
zyKr%>=}<ge=IoFi0aN(NQiZ^KW(K$3g8h<ip1uQr7h_wy2{$S_d?D9wVX7!&ANW>i
z3C~UV<&7OG9`I$8AeF0d&cLlKXLx?7{tmg{uwZMAcZ8#v^4Z9E=w!FriZyJ~_{-E0
z4%vHm!V*sNZJV`%EyZ@6y#$w;Qy;d4-^*5h*MLh7GrZ=5FNO*D>A{S9zI*J0Kb=v~
z*MxKS`HO6Y-wLP9pM#lpogLl`n=@6koP~@1CgLY?Kl#ahhphoDc(X#A+<)e-wrl7T
z%X+x>!Fn8Qzc0XwdjE-$=RFB|{q6d&=_1A1MmY2~m%TB}CE7|uo*(_k`$LQ5H>|j`
zpFHo1uH>9DgKKDYeip%R{ZG_igtY=E?~~^TR2gpO7I53o60Q62(a7v0<ajx&G%0V8
z<&V7kNXjEmin+=Qex*+Nlx(l)a)A?he|yTGU7eJl{_Is@6S%3bX%|Ufv>vusfDNs>
zi>zS!Ke+-&;m!+t@0h?gPKuv-;88~o0UJ1$kuru0_B``*nk?@k>GYAjUt2DHA5PZ4
zW8gsaDy(uhU!SB;v?ag)44dgh%#-ym1)D~Y_j`QDm!6U1t6fYsBk==^0`(f?_-+@P
zvFE{6YG<R>;PN5rEr(z#v4VL;_-Tyv8CkggWu>VQydpz$s}J!a_OnOda>H8I0<C1e
zy<>OJr?A1-$^v}rV9(ow8<=2Sp~ScKFt_iX-tF)j&7@mC{7WkPC^hU_{;!hEfB7>+
ziiZMz6m)BV#N!y&zYY3(8SjT3?(#i^HD--2FTx-H+pQJ_JC!Z8O~Mp5?BRD|op%jy
z#^Dcp`Z?~9{9`73KVb&@eseOPXD1Ck?I7%HbRmeu6ZsVuIP}7qzw}ys;Eb#*x;^ml
z&-U>v@b*tTN?T!y+&U>o*t&f#rv;9f@~tKDOeOmFchtcRKOJdo;rB-V8*5;NLZL(x
zc$+-GWjP%EiRqgeJfXGApcGyfZgn~j?+U4?cm`hyEPinjF3NpcPykn7v{NJVU$)8W
zGdzY3hfjx-`OSDPpQXx#AE<8RB=K0XntyCkV55y+&CkM$QA-z+;H1&$c{1OmPRqmU
zdvL&e+an~NYYSUuQ8Zkp%-%xcy)4ZCdIZ3`v#QRi!in=#_I|Kjy2FS(Jh8E`!yPVW
zJuIpOH#~e(dma9qI#MYEi&8rXIKlyH`J0ZwS<eGm?ct}|=VK({ubTaXMsTwDr@dtU
zw0DXt?=Qg3O##nD;V0L#Wp!bue@7O@VbN<X`?cXSdw&EAz`iB?bINcqqZ)$<?7W~g
ztOUQWop?m%SF01r%a?>_t|*EL!rTP|55!^JyrHVSaO@XZ8!q_#R^C&*@WnLO3!L!4
zr?;QkVCJ{)c<A7^-}9DS@bRXd%-dnVlQE0C;rqEek1g8aeo0!cffHunH90U3(+Ymn
zXNEaO42=8X<YWUu4)}L>v34IkBsf#b1iL>{8+-+4d6u=2^w>j%@5|xKSsKQ>;BP{4
z>*=svp1U}S?=z92oqGu9Inumlgnz1Y{`7(e#d285@pOx4e)53-B^=Bp+rQG-V{i~Y
zEGWcE=AS#J?WHaab6w2M;ep3jwNK~RqP}kba`QB-xFW5X4J+!Y?;`Wx?NMi0a)FzJ
zwk&DGcf#m@JHcCSIo~4n<!My1yEg31XOgG`dwOJCISXHIs1qjZvrgjtD+&K#c9AFb
zHAUp$q&Qq|*wsqXrR`I_=wY_=3g1ZjNLH;Q9sEl^(TU8*w`DW?+O!SM|5ROo9(?kb
z=FB9#bd{Y^10K^l!S)HBQjGpawy*u<7TpIp!sw?HS-;4N`{8O>toVQe+5eh`TG2{4
z**2){B+S=rI-d{U?$OjI?Zx@i^U+*bhdp)VKX~Ya*3)Eo@Tk5MIo?73{PaY47gPEM
zWw_^DOlu%4MxW4n0;XbLdE*Zo_zxP9_8^v{#^(taeinX2^56C;-s29pcR5Ru_ORll
z@y!NSqF*XkfHwrcd2a=OPmnuJ+5_$N^GW*fa@f;ulE3`jhe$nGC~L-C3buZ>Z%zYF
z_{p1n0G8a9IdU3q3bvFb?P01|vEV4|8eR2T0={s*>Cq8bv3B(=X%E+S?WUH7eIs~c
zh2goT%)b(_-U(wqQa?&|E5G4}Gwo9H`Qg^>y(N2LzLJmfq`sFLxO(q|g~KT8Nq(Cs
zM&}){vGvh&tZ>Swe3^A?To32;zmojlwe&>RU<TuG2U0(S?oZB6z~O247fJq$+NmSI
zVU^_OU<NoM_E5nW*ekkr2Wf8$(UXrp!<+Zcr|y71cLmwD!0U~D{G>g!?Nq(g1RIag
zyxa;0YkuJ^huKxXDUkTt&FvX`O5uwOwC&Vz@^}B^58<Kq{KW0B>PJ1<G`NZ7gD@3*
z(`fi#BwQ&KP(%Zl-m94lhZDACD{q9AShUM;z`A|P%_RTd$U{%PVQE#X^J|Fj<p`(g
zwS-F=3-~CJPU-ol)f_f!Z7W$p`faPXOX_f7?~ES>(lZ)gkDr1W-FMKF`SU#@Ydu8Z
z8M%VJn~)xu*y<n*AM>eyO45rXs#j>?m1*88l3uC&X_^KW?~y%2)-P;X=JVSM^?h0I
zBH6x5%{P}{@H=12agyG~Sh(IytbOb+Ne>$F-r5SYWFNF6<&ny=D*Xb!visTr(qA<S
zzg8%P(>pI`kp75j^YNAhxVdwvkPlAUx7w2guaER|i^0-LPy1!zd5SGzq&;#s?Cm}T
z^O$aAC;f|nC3nqE_=oDP%cT9$H>bbc0l(GqS|RPPT`2zBk|p8+a}w)FfAE-+|HA@o
zbv9I21y;=DK0FDhafII|*QdVl=VIe9jk>o0X-@}p^5(z5hAuAor2S>RR~!2b-;*+y
zC+#U|R^eF-Y_wgamgN6->3e1q>|`vaL)u^Pg|Ay`;ARHaI5OX-Ur+GAYB+y_f}gaf
z$09dPOX0$<UpAyYYCo6Me*v2x>Rc9r*DWQ=3t(oAVmZ<tbyvPW&4ZH;C$#K?BQ_5)
zWWxXaukRr3>rPJMmUQ^y()m<!J<z33zMKTRI7<(b{(a_+foTGq=g90#+QZqv3w6=3
zGuv449{Bb#j`B!2>`}{cdN|OCn<E6K^-ByU?L${+lpz?Vi1K8ng~!t-uHAs;(o_t|
z`PT9%yX+0`k=^%;)CXPVx03d7!uKZ*r2d;5B?w%GgSH3%+W_}IO}k?bw`MCJBlXYm
zle?cOoPCj_lhn_IAip6)xIn0fk+g^B6_<MTVGpZ<^m&+Z)*<Z#{5Wi<5Q&FxvDJ%J
zg<~#^l#+OP+Bu_T1-RmQ^vW!(;C^!QD4f2{I&=(Pu)6SE6lOSGuyYFb^{}lHhbzB*
z_FIBWuV3L7gcFKAYRUSY#60#3!=J0Oq)B@d<#dbSfoY4Buao25<`odn3x7G_G`tN~
zGxAzths{-Kgh>B!+Bk@6FWjIglR(OUUE0HDH=OF!+DFQNU!T9r9ys>f%4yOcazz=*
zZiOwLaCVaO%av`aybUf1K68wWXPlE~{Yx#dKd*z>$@RnJOiySzELvI}M#gK;p81vc
zo8x_-=?LvznBnA>x&io7(^2n4_+M8V|0noPs$><3SI?v4m-q}%dEXMtg#Uz=-tB_t
zoIIQ!!=L!;GC#m?68W@B;Z~C~TiRi<j9vH2;Um;PczfVW)VqIl!&{roZneVIY}EW8
zV7q5w`6T_nedkA(V8Mn}x;FTL+)1IoaA{7+o(?!|E+v5i_XC;5b6$<`IpI5fl(3E5
zji6@utl_}v?Qp!oiBlEuO_73jdichXI;Aq$VyC__4QwVfW&H>qj+@}!3AY7Yzw`iR
z*?sT%W;o~1k$utd?}sw7+u%2`&3hu@ttFouHo;GnM7?jpVoF&w)Nshy8<!yX?H9F#
zHSDkT3}25A9F?%6ZynzHq`Jim&Z#c2BgglHmQTzT<|=T?`va?X*7CZ*Wkz&IXW*2V
zIt4ngeEYaEIertNjhR~TPu^QyB>k~Ym>xTPXn87SBerki*m#K(ZZ*ERV=F8uULLd=
zcCw`DCdZd|b25Skwv%u_z6W-2Q}-M)!}k{=D|dL|?fV6t2jQ`(TdeHxLc+xTX84oA
zr>{KlmACIB8sYr&rVgy|CjIIOBlr<-!G<Gn+VR{)W4I_u%2^qXTAC?83-3A=Gp7p6
zYxmY_!xN&c7G!?!!$pgHr(qiz)l3o}FZAq-m<C)D{cabDkKgM}J0}lI(Xhpn`KGBy
z$5#~L6CIDXSi@IGw!fBu#orIzA@f^v4@<oigKu)3XEld&MNRs5!<<t|{kCvLM%4RV
zaObBT_NFkELPOP*Dds=w5iYs{E4&JBn1LNDUh!Om`F@26jlnK8FU{Rx)2(V!<FFg&
zsrSBcfRIYe5BR}x<y`@A#l(h`VVI4%C+H5$xW4@FD{NudTptFjSUul72%mdoBohm_
z*gm%Hg)29mb-xc!Uo~~<gZXNQM$_PQTg~^~aE5ZX&?8tZx#s6bI7@70YcU*tCR?oo
zcCQ&dT>`&wV>f&ck0$LDCGquz!+*-(!L%x?_9VXEh1&5Q$v?G~SF;yhmQ)dIf{h!t
zN0E4XjT7aHt#FmsLFaM!w8X84Z(%QWj-p9eT>f7X$*(`Da&H}u9jsxhfiH9mzu$=G
z1B^>P9Ch&c=PH%0utT`K?<;t*|6$NJ_{N8#sMoN``DQB;56>@TH(LtlIOjgz3m0GH
zT`7le4lA+<!paXnTr7s$**Fb_;aImw%Mw^*b8!=ikEbd)+K>-lJs+|4Aj~E(-~JRn
z_iCS)JZz(xESU}87hSDTgyk-4AIX6?P~R0f0h<ObBt3#<W3BB^!4t=GGBRNPA8Y;E
z@UZ3y>J<2FbO)y%%v-p!BMq)UXB}w-j~B!^-G>LcWjc)E-Xc|x1i0U*P00qf9^Y+x
z74C7%zIhdPS-5843|C#*#&j8eG8f5a2Dejt#yY~4N{b98aC&4PuQkkB80cyM|9u#0
zX$zZdo4R}so_hX!o;=T~Yu_ra2FqC}T(^X&9B=Ud2aD1sQ<44aJeu(9AY5~$KiCxB
z!L@5p8ZLe;%WMb>ag|YVz*HMoK9c>H_fcA7g$H`I|NnhJ*5qOBXC}Dca4MX*j`R`c
z>5~O81{&TD@S&X2_DJ~fl)?=+I5NPeAsjaJy1AVkPfSZ{fi=ACN#z+&Sm4gJEK4|e
zWUZfkFHmu1mxvmyYWDOiNssRPyYD|(@#JrN7x>6Fp%Y@T1J8eA9`K2UJxU_*(qo@W
zCzwX^n8hx5j-tqiY+olv{vspHE-<o<Y(M>Y`QW@U+P~V|Hh1`({@dPJn2w1znWWR0
zNgBV0HQ!Grk#uSP)B0U7|0%ZpWc}OSw7n|eL%SQt$nl4jxLqxSr}xizkmGm1&U+{a
z{x2fq582;6f3(E1;RczO5IgvO!`gH_d|cgr3)!Awg!HdC_|cu{`&Mwc-Phb(WO*%~
z-K0KTxyGIm1mECQ$s*71RL;3j-GD_}sfI0JO2?8lFL>{ML_NU&F`K=<0?TYp{(pVg
zb2Y!z4rcya7HEKUTR}sw3-F~7&P}8~XgB3uHG~iEJaShT?h4aCbP6s#8%|H^!#n3<
zu@i8Veb$4su!ky5loBkhbMhN$4+@9vLKNWMzb1~Py@WL~pB9HF&L&KrfiJB49v6jE
z!wY;=Vab&J)SU24Y|kpmznLZF9~)d@JsPSEQ=FeOW`Z>(ueGSaG2d+s7~r|^;Pd2p
zq<P?*vaPWE?H!5ad1d|{`JydwwG*e%AvogLgzKM6cz-v`m3;($&*p5u1ot_J$w<L7
zkDA)1V5)`e>j&T;ceEQO;JDT2R3dPgFXf%DaL2vmn-Z`~Zfw98I9Vc#k@P>RPgVbG
zg@rx6?~?o+d%wxI!18&4+`O>7RMdu7FmLvW2PFTdVaY#baG;}xIC)+=^Wh*zI!q~{
zH^C48kE8pJ=j!|80B$83B!ui)b{P>RD<h?{vop#_e1*(1lAY{X8Hp59GO`L;6=hUL
zGAlAFNfG^C=lAFH@jjo=J)e8dx%Zs+xtCuw6Rf!~TbfBA53E<VCo2?=NDB1Z1uw+S
zCI!PCxBckI_0Z&|D2E+PuV%f0e1EazPbOP9@vliTi9fqH|3nPFt$tKr8WxIw^Jq7`
z+;;E-Io^MF)88?{*@iBelCb*5h}VqpCO<P#VfbrmnDKWjT;HY4g{9!Kf?)jxIAdL-
zg2YW|^5r_<>zy<6<ox8XluNe3G$*=)NPUzWr>`}_YJVQoiNXJx)*|ZRRr+K-l0UvA
zcm7Bz?E6`_gVaYQFk0h2On*(xjQoDjb*Zx{aBfZ(3prlRQxn@HxcIYgJ{LT{&q&J+
z9$HrX@c;8O8h6MQ&i}dX9Qpk}U(Zrn!utfhrUi)`q*hPCRF%5EoG>dz4UYya-=rc(
z>QmxG%dQ5OEp2P&fXljV2KT}i?{rm3ebfUV_e#SHIUL=raQ)KOR6h8toZ8Wyu+Asf
zcpf+}nPG?tw()E}$q3I53YqPINAHO0ZG~UHUih>Xt~eaLb=?y4n~tCM+u_{}^R$2A
z%f|IT=;2{^&5l{voub^G0alf$ZJL2w1TL;`fPE7bKJ~&^rdw*r{WGAw=Hnaq!~F;y
z8d!6YKCcO$+jR0d9V~Y~IqNB$>A++}0p~^0HQt4{RP!=!gyk>atS*G#JsiG4^7of2
zHV<Ei-6Ecwk>k|}mGobO&k0`sO!D~>dlu6!!<O<J9LW9MU@|))2<|^y_v1I>wjI1X
zY+#YN)UPD|Tk1Vd2lD%_y8eF<KUlFxRtrvQekMoi6O;T?LKD8F@n7>Y;@a|BCnRBa
zu9hHDpX1kAkBGy+4ti`M@AFiBi<I5~o1`Hhg3n9KxrkE3${xqxkmJW3eONMSf%S=p
zYzK)yRLd(Ihd2D{Hzmg}DeLNd0lz3uVIs%B$J^P`0dE<Q%OS_l@Ov-Z1oO7;7$N0v
z{d&*)6xQ^sIQJbkF8>l-4WCO-C|-nZmFN8{VgGlM`@h0tCjW*?;fmd~7s>mDU+3uG
z-iIG7=4>GEUmbMeQYe7eeY`Zt`&ViV5_|LE=~r8OMqt;khZ3`3qp)GdG1xxaC^iF@
zKI3(h?3bJ!be>CqA0AT~Ci^KT(!)N-!&mG2TzX(Rg-o4DSmbR+Q6IdKsz&`P{Qb3*
z!b|uK<(vFV@FT7TFY>-u%)rkZfv|smC^eZMswgr1^MWn;Rn*A*aDYeQk0&fF_qw|g
z-u=?0)*jZc-LKaINBqosd>R&X>=>wpGX+=nYrx}PF0V;Eb#1?#8ocmg$+`}H_0Pvt
z40bhaW+U&1{S210l7RV!l%mM{VZo<P1hc|4xnI=C?}^>~FPshbiL`q}ey?RK^=C%-
z{MN7EhT#Kj<+DuiD;GyQa()wU6*I1y<L}ut&Fm!eRU!TptZQ)1<+HKm{jhQ8KCY)Q
z2WQ_!TC_iJt`1uRELe4%mh?AUUOC@NSbD=f4bndX?Mpl>V0TI39@0O!j)lt=z}-e&
zN6C2D-%l%@5Bsxd4Uztkqq-QM1;3t4VkiAIx!*531AexDQz7XOUU_G~Ccx^44JQ}K
z=QS6n;$d&@c2CkDj=ktE42HWJkIs?)L|bm3cL@%WZVVvryB&5lpuPy7YF()&zjsXd
z>Tgf-`9s6~q`iB6{Z6^UwanX@-@*5faTqznLfj#_q`jr67#^R7^8_D`koWt>GEWs-
z!Ah@VS4sPFe=*o>0?V*eD>lJ%_trNU!Dp%j+iKtz^FL>f!da3>Xh?f1;o_qM_ip9k
zzX$iQTh^<>iO*E5OJMgG%+)Gz`ud&O+i<ZL3x@*v{A818Av`YohFKn_D;2H23Ad{B
zdP%}Yt*T2oaPK`c7g3mFantteaQJbX7yR&w4%hKS_~hEIR$kcT{^bu*F#f;UE_OIl
zE_NqbU(waC@$Z073e6XV!Gb~?!x-Sck)^3{SURHAcN6SvR!K$HcR~?$15|M8iRwca
z;a=&~J_^`za7Wj9I4Yq){?92~-)UGj{|6UqUD>k?%X9vh;RK)fo&V!A{Cm}k*$rO%
z7CkowvlmzAI>5hGv-C$`Guxt(Gcco8gzhlBl1b@i4S!fpFYbdg!)EW=!e;c*1wHW7
zBbth4FeUd5+81z>qnI~Y4-YFPQFg%RYl5i_;L;OMnrmQ{fI~qhF!jUghAMdUOwwk3
zSbl6IxCjmyQVl2NDXvZh+<{qa5}C>W!}`JUXZR+pXJdEbD9qSO^FABC<o<9(1Fr0m
z$c%%VRyECZVD&cDlo)t5Kk?Hc`1agc(?FPGg4tFRz9D?Yz#n!Nw3%0i2ONu8Tw!b0
z?z5_}@>mz6Gu$!9_Dca?-AyBF0AJ$eyRQN-^2kY@fMc>8mB{|D(zMYxRajc>-XkSA
zQy}iE3jCk(yqXMr_TP=83b6e7=u2|&AI%|cd03qB<rWEeWp0gL1itg~SNI-y)<<K5
z5d3k&K9=3En1=BgE;zZk<%Ae~`2DTZJK;DFs*n7zfo+T6W_aQ7b~6#URgsOC9^QBR
z*e7oI)=$x3N_eubOMnmFI}j4^&kXtKM!Iq~_@-*n!Ef;Kk~L8-IK+u=|2*8VN4}aF
z=3(K=`~<tq75!v|cj$zqOv1%$BcWU2eeriq`(Z}vnpKj&x=71r*bCR)n~fs*E9yM)
ziWjiYPlMLYu)grkvJQAvG~9?9))K7P)&#2+e7e2?PJ1Z6<tbcnmW`L>rzn{<+^XSV
zRxb;ZpE4|MbgG1#9rCAt!3H)9Vuf(r(c^aH?=uV?^b#q6P2~c={eW#Z<$p<mWxIDc
zlYADB#Gc6{QvSHw@;qF7_llD@%pIZmg~Vlp_#7_49#t+r3-G(7YY*w*v1aP045(jv
z&GX7l@P&n$z2y8!pG#GmHO2YbF~CpGZ%t&A$~>H!+?+((FOJo@sT*GZb1`f$T(mp7
z^$kql>A18XZrm|ed=Gx@^O)~2eEZ8{X$dS7SD1JVeoTME<0gE3O?wj=A0JikdF8-v
zLCS$-yzLqC>raPYPS93c!jffI2QuMH11qAAu-P(ORt)@tDl(VkmoDw$yA=oTw+mwS
zgpEeV|AoWC!iSD~!73Hg)RFM66}e}DFttgcLomGfZt?FW_+I;cr%?Ecz|8pw*uvVe
z!yn$ud8e3M@9Nx~Uj@P@L)l!3u)#8yls7y)Z)}zfpULNyxd^8U9qY`7NBFuD-Qi^e
zYT8?Hu5)+lf3W)c%0+TL9=phAW(V6=SuK$3`88o~O9$BbrOD|E*r2kp&JyM{rM^)K
z-=L^{Y7JM9{beBc54mtNep7gV#GND0V6Jlp!l&SK5jk}oa7bjxCtWyCYDSjakHq_Y
zX7u2M^r?ck@K0AdJx%y<X80JH?}!`y)z^YM{6Y-Le5m?kWSI)AoXQhV?uR}O0gqJS
zQ(t#dlKXwhwMehM@QGkO-*50HUmsstSp1Og44EI6?O1*<4&SdD7G8y~WKRrB!kn{%
zY1Fvik4V`Z6oCycyY`a#@2-<a)ON$xqArKYe0(HQo{9smyBAVN=I^<TT(q2UNMnc;
zSzr9Fh&jUy7nIVuaKpUsJzQ8}YDM~CvYvS+uPIIoi+XM~B<rKY^+M8gu!<w&bFw~_
z*}Q>i+ywa#D~tJq@UZ?nmPyz;^|Y-PteszY@fOVRH^avqmT0mL$c44_ioTHiz_X>G
z50>y{_wqH8pIDsd7_)|b``X+u!-8Hs0(;@VH32=baLq!Iuq^CvmZq5kI|^PA`DKjt
zgklv}AzbCcEcg>{Ur8#y2}f}JN8JU_QHZ=D?+Y#IZ>M+(<F7(l=fa!a_CBqHD+(+6
z3SfiJgLO~flxI<PH{kJaGhC10=uGPyx8T@|864&CUUeC9@;p=SRI%S(IN=!8nGE=@
zueDDhOdHm>cpd(tUu+Tr&+og#kquwT{d6h}e$w(j<~FRxK35X}cRo&Ny#q6}J78^v
z=O0y;i>u(tKX!b+FyFz_sT!Ek^roOcd|zSAv<VIjObhdb>rbR4w!lVeTcds8^oOfH
z{ct`1`t*4?WuT<|9lX%u^^KJOD$0`j1=g~)I^hbxv~GDl1G6cl8@j=k^~>ty{k^Zx
z10FfT+FJ^Omf&AO-)fxU{rk4qk@r2b+Fo$j!PH4r*>v#hq7B>*@LB7x3`{WV@dv|3
z@Lo^FE371*IQ7v4{&UCe7dQNSE4z&%+;sNCs0i#m>gcTnZ+vV`VFwG^vh}OLmSxLI
z<b8r=Z|5&Z;IeaaU&!-)w_a}0(SW5iy9F{}ox%E(y71Pw&VJ;1Y0ZcF<!bQmGU^KQ
ze7tl(Yy~MFB%vTu536gjvmAhfdAn@M^UM<Ci91zci3s__<oQMOvpf7r{bnON|Nnls
znq^NIsgK4>hqqr5_qRJTu@Ao4^?Mt6UNV6_eUW^A?afa;c07-nBDrp`AAV3Db(K7C
z+D%{Lp$9vSDn^s%f1m%dXEKEIPG=o=fR6@W;5-E@TJqirg3~l*>TKb}T>-8EF!%Vc
zCUSmho_8IOg_AX(*q?*Xb_uaY!{3sAyOH+Yem~1KAD#>sf8_#4UDCNjp5JA?Gdf7(
z;*%5S+u(r_8YR;Hr|w_B+X26@HSvyv`Hz1%c&Z2alV56m;qZq4QhhC8#us#-;^9g~
z$w%Sv(7AEVNH|FI^IQbHiC^0AIy~NIUU?TjNw-o?;<0a8zTboAxJ{puIET@dnpg0J
zBh0)}aG{>c&u&<#U|f`Z|JIE7Bh#?qiKNH~*fUWl{44DIjy{dVT_(zpZSBS9+wLuq
zcy*6UBqJOla&b=)+!^@#ZYq4Ohpwj#9?_$7Pliw4d_P%3%AY%Rw*mf`>U;GWoRJ-Q
zz7DR5JY4qycKOJ4Po@vw_imf@6uf&-$zu=P)1Kq~9gg5I<+6wSZU(XafsKP*$82E(
zTQ}Y{cq5bh^Z#Jk9nnEc@WVt)3NQFxn|IVIe0axclQ{Uu%GJ+{Fi+;Ogm^g2-*1t8
zA7jjk&qZ*f=;f0?;LS`21n$8#Bfh7|^{(CbAZ;C-t?5%W4;OCPrPcu34R|z?^2QFk
zg}dRwB}eYBFca-I+c)r8m(#)vaLq9$&2iY_pnlkA_~hEJOOx=!gd;Je{Hok<yCqnF
zQ+j#=cKI=MV;Pn>F7cg|XW#iDgsva^tJmm`kHVHy4RxE~hCEu+Ntk)9F^3Z#OCPKl
zhNa)$8sdfxV+ZO;`JW$h8l~XJiUm6d;E|R~D|_JH%>@GF{MX|DfU3dv=beK4VefJa
z4o!IfhqG7S!9fm|F-PH}dql>&;Tli*R(;r?U1+8k-lDBgYy;=;4{DR^{bqZHsnhV!
z%=dcaeqeHi(bNTwPma3V3csnDNH_-<Cxn-G!o@D1yo2C_YEq2N@MKB#gUj%Gi#YRh
z*z4dEfk^m|L$^mgESwo-6%7yhboi3~6u&D@Een2#>qHIwJHb5g2Ha(SdaxFL7jHRV
z0I%gND^$P_n0JX5!DSsklq=ze2+^zu@E(dQ8Kp3_@b~_Q@SufX?nBro;8#sE%%Vf}
zuNZa_sr&gHrVaQ@RRX`EYdq5hhnWW37Qo`KLULcjS#1}b$o<NIA~Jjoetc@-c`j_+
zqw{nE=DIuaij?nO(!c!^Zu({-eiQcT-}><v?8SRjHV@XCW^Ug27Ju)PtLl0t9RK$9
z8a*5(R+3K2*A2cM+X*v&VEmN|7xgD_al^WuwCkk2d}kVk6f7Zg+9C;V>^Y&l2hLtM
zvrmJos!Vv*;1<q%Psw;6c(v7B19oo9Zztss<uj`o!EG6H!m;q5)^=YLIKAoL;cWQv
z);_vScw<}lmwfoDHd|L3Z2TNg3d0LJTT^Rbjea?k+px#ztJk%#C^uzt6C85g<C4-l
z+@C`k6i9yvEzH$Wgaadvop=kkr<yLfz$Jd?7D<1VWWQYD1mD!VxBL-K*zO_nAMBX_
zB9n|4i<ZQ%=V8jLjJKv?-J_va7h!(!lT&!~=xKoblh2-T?5P{mD{zQO;i&+4=uSf{
z73MoradkX?@X8cp0uAhTpy+xCoEYTk&k4(pzxwD8=V^3b;)eC)D^G^OPw2&+<X}17
z%A7#B(j@8JKKQw6*7k6C^c%$=BUm}^v<Qj!{JXej0+-6Er(c1&Hz($h`Iwuus8uLD
zAjVK&3m<Wy>yCy!vqW{AV2k*fq)7N!kL1a7aBE7z#SHjiSfo-IJf$ezng}m#V>=WM
zALpl6%z}9qTy|%}F*0sfli`jBJ%X9=@UB#rSh#MA^FcM7%9^~3{2u)T-+Ps?sLj*I
z<oD)2jQRc?F5nV7<OA<%n3!#b4c?f(a)UXxPs{Yeb(<?poMHRGG=+Y+-|b2}X`hla
zS$wl_&foJpT;Xg}W8r!D5!Hdn3ox6T0mBB&cbO?D-=2dDCfS%b!i>e8+TL)l67#7Y
zaLdJs*B&tc`luB<to5W=owOIT;71BRc+!5)M$+Dwa<6U@g13d&&P2c>XQE2T{9e;V
zxs0^O)rTro((u{4O^K=S_zo>|1z4=}fGIgY=6mTKl;K0Wo+=f<XXRNpYQR^+<o@Ns
zcMRXKlJ!dcx~EYctS2*7eFARF9c6z4-%n|4GJ-W#EdF-Flq{o;WPQ}c)%>&_mgRfl
zMb=Y)e15Wy!y<lP*<4_*Y~#U?Fn7Z@5f9kA=(6-5xZ*o|Ct0t_vJ5W%g7@x}=nH_2
zn6%$*e2?qJoY}=N*r7TrYXjUZpBF>cn|e#GcDvv@o<XT3c+-5fh%oHFO-dyLw%hh9
zKm}&(a~mV;*~sI}st4fR6vN-{!1aQBDaP>Sn}W%u@WHz_rwn1Es=%8MVK?!b0}imo
zQoGs{n0fXGg&n+UMEYn0{5(cy(i5()4PJN-$3z4cdBDDjGXGw{+s^o`MZwcYV)A<7
z4Mq9SBH+Spx2lH7=UtT}@4~-Fs4OPnm37;rg|KD$yvsC9)p{iNDI8#K&hQ=9xaI8F
z0B0y}<XD2an(yg!!;T>r>;A&}?^?FJg0=R@v{4{`;LlF|?E_rLUg$#d3n^!JR1CqP
z>F(ZJVEWb*X|r%H-!wZ5Ont)IVg~m3uThX4u6~iMvI@&(9Bku-qpxRE{ek-%N?-EB
z++6#-C<kzU^`tyR;ks@675^bVaGfha5<b-I#JLUehjlqT@^H})$B$d#k=|_4{qV`A
zgeD%?=$7y+Rrs<*)KxB+I#T+*Cald-?kov!U#tr_3QITSNs7aLN9|(`;7mrdP)+zz
z;%{klSbRlYOC4?&uTiyyegA&Tw19n&noORBZ%g!BpMqIw6Bb<IjEf6uF0fszOcKe*
zSdYKj-~{`b3*7dDC!d}-4}o)*UTBBFyZ_VTxeW7n_M1h(78IkN>F{pVh`-n1&A%S(
zONI3wJ2I!ixAoiqR>4tf0#!HR<m7~>k73q{@4ZE^*BH<5k1(f{@Sa>)&e2?M9Bw;2
zW>5l~_1S!28N~X+_+Kf>H{Dad!NCR>$2Gls1Q)+!mNS6!gxh8B!#!+99!795)tm{*
zXU)Z{a74i0tv)<_K;n;rjica@{++`Ou*}dq_ZC>c`iDXl%=Mn@ek+`%QLbAL8@;(o
zF$!<V4k~yIyYzG(7>7A&HL7aiSY_FSRhXfVnz;ggt?Kh?4bBPu$U~0ryyEzPVF>e0
z%5;Bn{49pT*=?}8ZFulQ__QFeH3zKpQgOH#Ry}Ez$q7G8+y12#E}uCTBmqCKsMjF*
zx68YtYoy>EXVQ<~gDW2TXCH!@<&^K`!;b3}@6}+@7dxs*dB=c)S_63Nk@D?1@N)l$
zWg~c^HIC;t+@{$z=m=;3;`Psl6-#N@oM4GlYvH8)IK$E(U-<t1h_Q57HbQh?0L<y>
z{W%kkTF5O7gEbDVsFQr3S4i(fIPBceuTR>4S5r%CDy)3Kpg11>V)v6O1E$TDswCyF
zq)biSh5zf$V~T~@4l@hfhrdT&XCwXT+>Y3!3V1I6pXXIL@ndCoCA?F3@KQ8<;z!ZL
zHaPj4>R>3W*7;_>13pkKIeG;y-K=NZ1Ml~UR}O;3*F3WO;DW7A|L@P--|R0>!Bjra
z@<@NT`4&<88E(=mDGGqU<Wfq0gOhV8X}sW)S^?)DFsJ!@MqhaR+K!{t!?-@!2)TN|
zXRG8RH^9Hu8UOQycMO#M*$R8hnY?s?cXGaz-v%$yi@!e)XLUVg=ZA0JbCxCJ)0}t6
zNDwx;VYuHJmMJ%G6^D()<C0Iqj+|~(QgAVsZH^<XQ)V}%0#}<StXjcRyM6i9U;}f1
zN;3YH#1<2E;le9-EY0A=I%K!t(u9jnmhi-$zvY(jifdN05%HTX^VYDvUs#6;ETI``
za~A$|C{O4(oVuQp<qUg$i4;2t(|%#v>IsWy<%R3QgSA|`UNFVV`GjNe-*py=a5%y;
zc=j-SVT{`;0`Ay;=7%=COF45O9`-)%c}x{v-Iv3f2)}%2VyF%eZ{&{1gwy7%N|oTP
z+<eX1Fy)|X#Q~Vt@rGOh{E0$?@&DJ?q#GWE@X^m3Imz{PXL7n>HQZZI>9ZGBdXpOe
z1n#Vw2#|%-qgW`LVJrXlZ^hxwql^ci!><Ce#-(AtXPf!n!k^|M4(^79L^fEyhs~Fq
zG{oQ!`eCm|VGqL-Hw9pcSAO&p@bHrKZ6TP=?YI9|c>2)xe_U`0&1~fyyeskbCUXCn
zteDPNhf`yU9Xa52^Pzr<54avHN4avs`mW~M^zait>sDsCNK7|uGh7(Avxf~XsntHi
z1#1a>me>YIMakvyz^6a9$ZUsIH&rn2f(LD4<2J#j-)|fjh5M_VlF0o}dz$;%URY2_
ze4YkQo2FTlg^!Po{~`Cw&$=5%HQ~m;*+!IbiP;RNHavUU*PI$=c;*s!92Rhve7uVL
zFU|DPj+1b{>crE3u)3K3eLMK$uXxViaDlDV7YA6<*@b@v4%uIJ$_?h<ygl#-%oG)y
z;tu!zeID@(*131hHyD0+%yFFL`w!8(RD{BR1b5Dp@@w4Z(vskE!E&9iuxa$+-W1rB
zHAa69UU}K7c@r+7;J!Nr`xx8^&Vd)dbytx2g^o^+eK|}QbBb{s<{$RD^$5NlCBr%i
zpN#*ttq#^@ta2ZQwGOl&ZGfFQoB~GS{md_=yW#R<ll|}Eu&ylEH}Kw5bwh*jkssV2
z2H+K6*?naGbGLPdeHiBE-E^QIu0HJ+Jqg>31*X1&#f~eqeuBNjcIT1(iw{c&?k>ao
z4<`QYfV02TO#Oj{zMZ9d3G1vym{5)2dXe(dvIX9@{a7Lm{AJ@sr*?RArlB`09AMGg
z^c3c(-%-v+%0Il+Map+7a3}AE4^;H*u7`P?N4mw}^{GOsM!0L_w3;luzxP*U70fTn
z7bFkcXyhc<!V=-TY_;ImBcJ9U!3`fKvUFf^*@P8RK3?MMrBm>;z;2@l@TsJNCl)XT
ztKpeSc%oXG(Hjox4u4AKpTdIEM=rwNS@JK*{IkJgK{67arM4Bh2k+~<;~WiVc7IhU
zhcBB+H{`>$MVk`u!tQ-je+uB+*8=a7cnkl0V;fA96-!+V|Cf4uwFB;=W#lB^Z#h`>
z>?<s%wauHvJGE`r=3pVk{8$n{A8OOg_z~;f;*?J$e)9|KKPLEl@Uh?I_at{F8H&Tg
z_HqW~_y^^5<0auM)Eli!U^-Q8PZgLUX{xFK9;jL=QH5`?)ijgxk1Ky)KMA`T#dGJu
zB?pRM8p0y=_M&8do-0*U<^YQp?hPaRQ<Y7oU(dkwKWXDh`OZS)u8Xi#%*!vC@VYMb
zCV#lKs&YOX-sBw`5DH)0e^Dm|-n>V$>IzJE>xdCqABZfAXQsgKUQv}Mz-mwX`qN-L
zws$q8e58MGbrCGGc$N7YTy@g_XE9vIXUUrg@B8Qbt`<IXm)b8HzBtLv+yEy>v_)Ts
zo7uC@zJqNq+fS1HE=S5k`2(=ODBoWak5^K3UWKC!N{pl68P4I`Yp|vA_0w@M*MoNv
z45Mg2Cf3?;IQW)d^EP<+!|zs7e&a6hJN)ogTW`Kl*h`3YTo9hzW-f6RHn_Fzxf~pK
zs4M&u+*({pp#WR=JxU<uH*geBXv3~$ykGrce;F;_Bk<ncw9BMCcd{Cl1)Nmoe1fdc
zl52+!TERM7PFe=Q`P<&{ormWR-G6)mX4Z1I^nlwPV%q#*9-q$-qTqY9Lwug_Xz8Wd
z7}#~T#gf!7Nk`ve6i%y5p(f{--M@r)1b)+8$C?b6T;A@r40C#<)Mdf4KV1};VB6Pk
zyK>=ECGD{cV^|MbS9z2E)Z?)8<Q6z`J9A_i?E1!|Kp5r^Ta_Z?vGql*vmjh-uA@xG
zuUbXcQ91aeyZm?)Jn?CCn+)7sX0eg%rwXyS*Eqm?MJ#OF;3Ij`OK0G72NnECd~ef-
zCz0^8@m)P6?xcJ3S2Ua&mN`P!f59ic2C`uOzEA~ny?OCThV>>~Q(Swn70wsDdG!ul
zF?lnUtS3X?oN6k96>c)-llpYl?J1~%^}}XXpTO0=Go!Vz+!+BXa=jAYWn$0*m#-dZ
zNQGJN<4ObbUp~`9_G^WT_Rhb9`}?K2N&nX8e=9l&3on`qCc)cNw6ezGJ+fSZG4K<S
zFK;K|7k;jh@$ls3j+!O7#$nf31bms-d1)E0qLZQ}?Q@@h<4v(~^xxZk*0C^qLD7H&
z%$ZB=NZQjcj!jP<W)mr>C+%%6T6t9gmh_Z;P0C+-O*M1^mbLHLP5SpU_naMuuu^TC
z-z_-uB<H|WxS(KfPa3Qj^Ngh#Zmg>tA^qXhY|?TstbLM4fz*dyPEqzP{KC%uAUPkw
zH*#-}z&xXkDWpEJYwDw;@TnN;Y%>1dj@&;v4SRn#|4GKDim6`QSJ-afjTJJUO&>g7
zUxW{ZFBp*g1FPCerC;!X{hm{#zEs=m?ybXKSwZDNFiWk`XNn2r9~{=}L*St<u}&s<
z{;<XlGQK*(pKV})kL(HK3WN*WB`$KozAH^$UhqiT(}z5;=OxMjANaa~gwQTnXYYaD
z^Dwhgy^Sb5r0+N20pB<$`erX|I#asW8FoEawM7oTlslu~3b*YLx^w`}5azsY4-ZI{
z)u_P7eT-8b;Vmb*#I<4di^W<d@cF*od3x}5fzhL8@S1%Zvk`26i>BZNtl7<e+yve`
zsd&!-E`1yE)EZ9FHKW#prOavn+QJ`p#n2yvJqEnpoZ&9-g42g#5%2Fsu5j$!+q2rR
z>bcW9y<i%l*~UY#7~i0=5B!!#|D^`(5d1_j0)D=3E_48<RNw0rMdBebVk+>id%05y
z@PQ*qq5I&uE3Ev<aK)LXNJaR&<JH7$_!`^u(LL~(>GG?a@Yz>CKFPrK51bAa!Vk`T
zQxS*zpS<<I3r{`fIxGn%#^}tJ!)XevH-zENl1IBLV6m}tcST|IXK9<B!#lTFQ3}9v
z-zl`(V9zs=8-?J_au=$);d;LdHe4`u;J}YJ@Rj`?t|Xt=bD^Ps9R9v^ubCaT>kwd?
zf-NlGcI<>LE~SLd!7LON{LC=r?63L-c(#9|6dTOjKAb}_iR-K2hj2#NRO7%f70jAU
z8_NU-xRf2+3^R4UouG%GuWgRn3Rm>5Pj7}_WnW%lg};37P@{nbbq3_w;l|`|+O#l}
z&9Op0SR||R);jW;?gF>R1z_=aLj@FwA1-G%5{KUpSr~suJT|(nQyPBoU!cVz+<8^z
zfFk@jWquRc&u8gxe|P}4Ikuba3)~`Bm2wQ8<a~dA6wdKje|;R@9Q4zRJP(lC=dErA
z7t7vyIS9MRJP9&~CnTTr48yt%G7ENa`b!%zl8@bb<${<a{K3X=&pUYd-PbHPIQJ7r
zWH)@>QS6;NJhxru+8bDVZ@!K%Tp#jksso;SI}+v(Z`Pjt`T~yHX|@y!Pu%d=Xn|SZ
zU*8iBOa6`5ZH4b7ZOV&-X_fhN8(?;4)erHou8e%)Q#d{QiGDiFd+OOb$v@9V%|&Ix
zhSR+?wXli2(`p{f|J&U15gezKzOMk*;6G>g82)U<TvP&YV4trkf&coePL#ongKLdt
z@ZlYGM%8d*wLe=CEUWh^{s~;d9K~G>pR=~3Y=*g?7KM1h(z-&odSHruc@aMF_LMu@
zhG5#@-Z&e0EUD?)7_7+nJn1x?sIDzL18>uj|E>;e99807go__=E^ESqhE3O3;pkx<
zmLBXkWQh4ub5G%ZXhX5H4^CoX^cIHGn4H^N;G2g+W<=rLbDUlO-!DsLx0Hd~)Q$)@
zBEHb~GF1-Fdb}z|_P-c!JJ213>3#@>lKrpJKdc&uV9xcv2(th6NVT*=8$K@ZXXFw5
zs>E_Z7Z%nqo2i12mB#g$!>o*6Y7gMOyOp+D!E|r08j$@lw_z$fA2^9V?Jn6LJ7-p!
z?F(lYKX^j+({^6*{+<BeJp7o6?1#xw@ku1ZjLW)G<ooq*F*!8AEPe;V$^NkTruv&t
z;RZUXY!dJIvE6YTE-q(UBympThFg=cLEs4*a(ubVfj`$^>Db*C<oNj$BGMF}@O$>2
zKSz!q96k}o0k0G)HQ$Ff&&D=z!sSBGy2$St?XJj`fX&szg~@)LkcQ>36e)je%U)7n
zO|C1Ahv4fD?Ga=@PAyw>MGa=kKaoVrSGt`1U;u|R(9DqiJICdpY{u}UWZV)dFIUU8
z>In0zDjp^Kap^`4@=h?V(chCf@Q}Mfp$F`CEUzdXj^_J5<_YWnaVRDGbMGI88wS9G
z0~<Dw{kGQu{MUlua_+WGDe$g{%75Xo<&@p&IN0gTaivID<e9)(vS0Uddh*_N_^W$O
zeFS`b)c;c=oHuc?ISPI<w9PCF4)CMj843qa=O^BPIm26dufQvoN;G%it9L%U^n%CQ
zP5g@CK>E}kAGrDM{LDjGTIbf~v+$dUHJd8fmC7*O8RmYQ`lb=Kwbqw0hgC$<wOZgF
z_caAecwr2GnGI$bvsOL~4_9TL?S<FrXw|e~-M0z@LofyRG0i=&Z{6j{armgktgZ~4
zevo%%2EJNS`AY!4?egXP0^F>A@~;pqaw=+c8CH0>^)4&?X<5_wFKm1>zmyGbG5p+0
z^BM1(h#6SW!9orx%JlGz+l1{V*j#dd2@~APc4h0T5zb%P0RIlyt$Z8v8ay&}DTxQZ
z=$qd-2Ok+=q7#HWoW!3m!16)We&X<-qYwTYh3Uo*&P&6el4LKA!&-||Hj1!vO0i%s
z?A~G3cL07MBP!YtZ_wGObr=>rnb`jvJ{SMr6J40$@Rp%A*eHNY!T|o&rL^}c{G#>f
z86#NH{L#K9xJm5yJ4@Kco@U}9EW&jB=xKOW)AvgS{NMO$y)!K3TAN$|PwhV}a~@{S
z7t1V!1AQ0sec<jrTHkJwxE}L}FTD8g(NZp)K-F|S1TNb4F*gw|`@P&84*!wYDNKfo
zxr*ek!SmIoYq7A!p$7Ns@Oke>s(9FG==@kZ%=)pzECT+@63UqcH^}U<j)Lh$W#jTm
zJWReKgnZslqpbiQcgw5^gX1<VDVD+$w=)?7;gWMy7aqV}BI_)d;CYXV$!ge3^N))U
z{BFL1rxy0JvheVQ_qhIdy%~NHcbLl=X08mRX@{Tu&Et24>u&Awc@5h#CSJ6MAD!F#
zpa-^Koey+`UAw0Ehv0OE_dQlH@52d;55)Im-rK;7G3l?S;4?97Qf9Et)ufGI;IoY$
zvgWYXdmX=T@U!p}Q3kN<wCbZDaQ%s*YeulsqhCU+@XfW*$)m99&{yj<IMHTcS|2v!
z&U?M#3-ZA~N)KtnA1snL(ZPS}%#Y~7+=i6%>~P%Dt{e?G?#B0BoN$I!P{CpNu|ZLW
zAe<9;c=aIs>QPFsFq{;SL7@t7A3J(j3Z@IOG*N_Kn<-r01CQ(|vrvL%*5|(|!u3>c
z<uY)5>{~Hq*j>7zQVwP)zLu>4Kcc+2MH1d}{KDJA@WJP;Ow#b(NpT&0cs$7e>@HX*
zXKUyQ_|W_IbE5FSlGa5t;)@rX_+iE10!a(l#i^xD5N4#cxn&PG&be`O!5`<91{~q3
ze%jr9aHU&moe#`RQ53`u>)A#A@`X1pFNW@f^)1w$Lg1i{*WYi4ea>*?g~0-=A`?5{
zyD#FxlVPI=PZSy9q;b2(RCq4LK!X{cIruKG5PmuIA$>EPXj?pd7e1#gdUGrMzRf}Z
zA?z1XwzvVNrIe4XfNdNOuhYXl>cy_l;lDb~hE(vA2;YJ>I7+z4o(|^EDO?$aY20?!
zP{4~*UUC!geqP!RS~%J_FX}IRuHzifKSTV!#`DeV@XvuqvKtXE5;u(Io5uX7U~?3S
z$2;-12*As-_BTmfe&AoUCS1aMf04uwZ+Y3G1^a0AGH*e=>=m=SAN-|@)|m$WZ)~h6
z0Ja;jjM@e}z2Y`3g*n&#M@W6YKAVeu0LPF1N5cj`dDB(&73Q+Jc#51qi|pL-Ie2Wc
z{4zJ3ec`|L-80BX*WK)6h5cBx6~*CoKTReH_{zreosn=^?&dQ>Fq=`FQ8e7r>k_dC
z<~|p`UI#m+a1HN<do%168)5M?48KW#l&rk#F%93KE<Gv^S9V7he}&5))jP?<9-(dH
ztY0x-k<hCr{j)Ekkc%CTSmXP+9}b}kZ9M|-X3UT!-zPh5PjL+9s+&800FE$AP`n5S
z78%|q{e8E%m!}`>dB^5486QE1PPHY%=09raWnl$oWy%z|wf*Hz^8JVMc}z-SW-m_n
zy)dKizxW4m3uCZ9sh^C2+J$HE56jjrQojNjzLI8`_nr74DL+YVcfAkZ+3GAM1}`nB
zbiRe_d0y|Af=#M}OFqNiWgD)Ez%&mmK2O6}t*evB`BLlpYxV=a(fj2y886JkeThHe
zdG^dX0l3H0hh`17@qDhv3Ad%{sr-Xyk9lj8_G7p+SGI8$_p6w!EYg00qm9$_u!PRa
z9S*p|ljhY<_|h)+RVLWIx{sC{K1<g|!2<UwU-T7*DPDdwBK_@pn&!h@FkjLEThhNm
zwnwKZ!eYOVR*?SH=4afk1V`N{ZY1S@f6aWT2QTJ7WG3UQ+1g?D7#zKeiI<G81MPRa
ztzpgXZ5JrvXs!R~Ps3aGdR!vq4GJq~|AT4#&-SdL|8wsR6!C(8SxHZmc+(usTnenz
z#CC8U@nyG8k#x9L?3*DOf66k)=W5_>#T|ttK2XH6s}A-~U8*MIMRIK^pdT)|(7c6w
zKmI`A<9G1id>>IV{@y=+H%B>#`Ma4+5E*}l95;5+z_BL|B$K$#66?G$T+2KCnZ)-W
zAKJAWcA9Y6#(=n0qkx7z%uD^xp47+a+f1M%TrG!xKneR$nP^17%IBYVk@&nQPf!%B
zFT(bT#II|HYutnF{NnbL<Hg$@3o3#4RWF<%<FzOJfkro+BV>A;#7|}V2EBoOW;$v~
z+`jdl#v;7#F2G3I$Lr0lpe1-`eSrvRKL^@X4Yql#*DV(ONSvCkIfw&ZNER+5*WX$5
zzX6W0&dPBray{M7+wu4;e0`q~3+X?0|AIG#z`wJopOOCQY+nBQ65Qy;O05773UrkZ
z!GgQCn@Gd2jEla0fCVO0?veZ7!?j)fMhnP)O}U#H!ZH@BpHIRnVHy|7{kn7Q4No9!
z_b*h)5pF0QoAiUl@0uTUga1fO6lcN076mh2@T$mHj|`aJ*kR2do;mFB{2~1JcV%%X
zTy)7X<^e31vG(8!tf4vfw;DcFc+xr+K2Z3fsS@U2n{l}gyS#o=&<5|V(O^%9`_8tz
zK8HV@Pvyyk9bc$^cm*FE)A73t7oF#G?tsN+D6W>k{9iU79fVCMtz;j=0_%%R@8P1w
z#{E@r7rj&1DBN$#^SJ@0IHIRJ0yBh%&pm~yChDJjf)xy>GTULRW7)xzu+7brxt(y;
zg{?nk;h?t<^?P6?y3bWJaM~du<34z@)<kp>zB6`}Y8a097hm`W*Ep@wjlhw$8Mc4m
zM_#8Zr(l!Y&LYcj3&)4L&v1(8+q8f1?Ra&U1vorB*J=%}GHCYr4l|8y>E7@S`F<HO
zo<A@jPj50coXq?{h|I^o(jKJU0?S#k_fTQJ&VGLV1wCwTng5;!7MVPAa68<~xb^B5
z*uz_pdK<h+@<uEJT<sg}#SR-Ep;Ouc?~qeh+5uNZzdFVRGr9kFO&YGxP+b*-i<|_E
zBw?TUOLV*8UfD1ERNzBLe?69lV^1gjRfZi5vg-E2qbWb#G~w^QEH3-u+__9yby)94
zgNHJ_t8C@=5!k(Px1RxwhohG?;H9XM%SN#Dvh>-bB;IWzN!Ck?<1G@T{NaEuC0n@f
zus@>(>~LQ13t4~NbfoV$gBy--T_EePdPh60({SkhnC$=Hkh0m$Hn8}8gZv95en2zm
zES%`sb0Prtf6$@s2<KZIa14RlBRf+s!P(3$+sS&-LrK>%5I*$UosX<HU$K8viG$zB
z|9zDVTdX_L#K1z6kB7*5mVRyX=PX!nSu2XHcYStTzMldAm&TBG8$K`36JHFAncdbT
z>+|x^7^5PXJ>cvq@_en#oeM?JU{}cv8=t`9dk5Vb;fH5tSsLKpRF4y{;k4FkP0!(2
z<2S5bu=tO#*B!9Ukp1rw_{Kl6OK;%5R}J;Ua1OUrEP0-}^TM&5Ir!H5f&Jw9(Qg@f
zj$dK<=^5=YnA%oS=P%rFGHdAz{H7*w>k7QuG|EJtKlezC?BV>5_w7$-H<IT^6J=kg
zallh?TZSo+-<fcDZK({eobHXHgH?`g6W9;Owrk#EfSEkny$#^CU0&a5VO^J)2S#w;
zt2=_Muu`>DM?C!3tKNGn{5b9>bt3%fWn%^#Y^1b9sSXwhsL|$yYf|+7)xdKry#w0t
z4W`5I?0(?-_cL8w70y`{*zO4HUEtQ$fk#IN-(H1#FZX7W_}kiQrYJbcEb}hOPdzJV
z{+R)fQs}H6fGIN;q_W{idmknZ_@L&+(8uts9lO0Uyi>}cz6!SWuMQ^hb8IxB1299Z
zUJr>Ytc=tR!G<NBTaUsGtg>3Xi`YMUcCyY8<_kWtnHydk?&vuMQ*%DI-Um}pnuU;j
zTHmuFK{<G*yZ0?;_*mSzFUIh438VghFq3~ki6Kn;k2mZxTzSgo`8C*Z<b2;n_@k&P
zMFM<BD{mqIR_aO_&xJdmevu>jy_(_}?%VL>7H&;nI7p}SUj^LFZ;|2w8}DsUs)CD8
zUcXJs$F%?DYKM<dwl1B6AJ)&CcEY19e`!d4EcGRohF}pJQ4><%x5v4?KftVW%~r0k
zaqodoQ}Du$*;0GBWJZ+#3%pI4ui-3A<K#^J2lo7Th|w0#k1<kNg>R$`?689`hkKP#
z|3v<2|If4L@XrRznGNuk^CB0?^TPC^H(u_5Pv2K;C(jc%oe$f{0oQTReYAvs=}ef*
zz{g4$_87x<3GFFz@EF5OD{{V-$Ab@?g(-K}my-6V-R5-B87^<XJM0M0X0q^P!!u{X
zCCTw(%GS(o!V?B_hEA}+=#^{jFjH;iZBl=q$@3kZu%%U3?HSl(b3NB2{DmWS3(21b
zZ@**u3Fi2=$Vtve(A|Ok%docA-E$UjYu!_?Kd=<V_CQiT<=9V?O-nfbLc>c_n8|G*
zVGBI@+Ov<;_oc@o6)P+(yQ7!|wkfw@5rxlODlOjumyQR8?}e{q|5#kc_{}Ui>!Ad*
zm0Vu^1OHNv8&ij8|6`pShXoo^6Lew4xXhoEF!Q4ZDg*d{A$<h79*Ob}?XrS9<}P1*
z3ST_CF~bqA%+YxL|NLN*df0h*`d{fg@;rRHqUTQ^m}*L!BOH#Cx-fDX&Y>&fBl)_d
zJ$H^r!q)cnOdjxKCdz-;V9Eqm4o_Izf1gJhF`cWk3p}QuUz`EUym;nu4&JbLfHMzX
z;oJVq0cPOTFu4ss_B-2t2A=luYr7Atmp){-fi-<bDa+svo>oorKGKk=z}+!8u5UHj
z9yVZznV5hngH)cm!@nt>Meq29^Y_S_$qCNr6o1YRi{{wxBlSBJBD|^&x3(F6@`H0e
zKYpqTPf)eYk^9Z<b5nbDVd|8}H^N~5RgYyYm_jV?KKcEvc`pY{;rr*(ElEBz-QM7q
zF`U}U;*bCjhhN%e4cA@R!jb{+bpO|H0qZZsac04~JYw1o@E6*M7kTi!^qnnsFdcX5
z;2qdo{P(;kEI5@EP4dT^+|O5dz|-35xg>wgGBUm~8jdYd`cCdolR@t4vGCph!WkdK
z9?v&!EQNPYoVOwQ;y+f&Y7gM8AJfm5!-Jt81)ss*U;G;G!os^;tefFat+!v1@)xuo
ztM<V%PC?wHK7PLr2E2tk%(n{{!KKgaXGdV+!6`3t|6IB{EiwjgZe_Sa?w@YS^7KDo
zsSg9a<b4Y_#~O{F@Wr=oLnPn)xbS1eUpVuHtautc7iYV$4!>zJS0d-<MpVfg#%1j9
zoMewC`Q?ZJi7ngV=#%#nNPhW;oMF&T_(+}o7`flmALy>)g3FpBzmfA#DZ-s82~$2-
zRE>t)71R2pNxa1R_%-+>_f(}S9IQ=y>ndEUZ1r6o_S`O6O3DxHyw__8Kh$`+77BmW
z<YzE}C%!FiA?=^b<Noaoe5oedlDv;;Y&0R}4C|X8xj@Fts;TLvP`Ktoe^U_rGQP9=
z3hX4WFh=5{x^_W#;AOK%doIBle*INNaPr?)lSp`QJ$9}K_L<moCm8nPq1@dMKd-4A
zBK4m+_4ClS-`G!hyHT9fr`_1qe>?n2wMLip$8Ww1DsphvnbmX>4{<x=w-5IAuCF5T
zU%8(Sn!!hIf1@SGQ;xUtHHV*@HVa>edHM$q1j5eopS?(&tM<gjOK`|Hx_haxry@^$
z4a{iCvO?;!xRTaU3#&~|@sa+%w!-&s3f{`}(Veu%#Qm)OUtq47bC*f`N&kDz`3HV`
z%&LpD-|aeGlU3Nh`0EE!e%q$Yid+65Ur5y_LE2+`?~*42>{5{_7Yk=T-Zr@dem5Ny
zb_I@2y28T&Tkp|`A?+#o?N&TLd{do&kepxoiEW*NusqMy7&)J<H4@4au=>`9J!Jex
zKg;x%f~SIl70LLw+Ftc(A6%nr6hY>rw9*3n`(gXztnuFPuRkh@YVgYP#0NL{l6c`u
z4Y(jNe~MgxB0X9T9)(xg+~l0#g-TIheK=oR`~bNgvifLGo51CF7ozRpQ*Z7Ho`O%D
zzn@61hnbt&lTX9UC9Y#+e*M^gSGPU+JngP&Yw~$1E!A@{tH79oDNOSy&;LA}v@Pq<
zDL7>G*;gO9l<vf}ld!r!r-&cS5=)nA2!G^PP78tiZL!M;pMRb3CJg5GbDup1i~J~8
zkA*LZ?Nru+LmzJlx(3hMMjSZ;H+pE<+=6ooMKjc4zeDL6x$x8HA9FO}_4n1AieZ}R
zz=Z?w<+_cB@57AZU)EJ&)3ds}>fxw~z+?MiX_M5`jj;Ph8DnKQ>}*v}8+<PNS-vdH
z<x07=6XrDbz9$c-{Svs;1E;k9`y&a@GPqRt!M6^cp_hRxZ<J(C!Qz@<OvPaHXFvKr
z!=Y4JHWF}g3yan_IADscR0yV7GYS3y$0~L_7J)<j{l2fj^UJC<yl_NYwfGwR_~W<D
z{IF!>Q1*rutp5V+%{kyteC+Qw!f_{>oVnrck=8Zruv~~lH7mS%DSdG#yr2-<M#@*4
ze(V>A9oObqx5M+@Y}=&ZrWAc)vfksDvi_k0FE12cV1Sd$lO@#PZ_e~#r2LW1LktG+
z8#D7ao8Vs=jJif}aQdc!E$|yE*(a88hP}zI4KVv1ho9E4(U-^j=;7vtdvD$0HSIrF
zC}EYGL)$!I)zVYRq<r{<z+x!ul$SidhV`uUjT4gLu++@bcT%2tB#ki@Zt~o%x<b~w
zdCj`%Fm-nH@pahy<0gr_@M3kvjbHGEGPyJN;F4yx5>o!&=K!5L__Npk)gN$IQ+{Xz
z{2_3LY6)J<Y+G!FcWl~tat_Xoo|Wu?rForf$@-h}k=(XHI88OMbQ*qDVtQm4esoNt
z@+-V)J)m|H-lC^WGYOk+&0hKh+qh&he}U(Pr`|2YovS&gM`1%%>g_A=>eds^<8T?>
z?l7uV%<lqDRt>_}6g28-;PTt0tt5ZorW$vP6<#bTWO)bM_}>{|gGK6%xd!0LCohih
z!3Q#RUEaXD^y60q;I_lR{_BMqTQ>d@gYT|SHohR`ML73J!uQM%c6Y-!S<Y@(fvpP#
zxk>&bAk_D$D*W2CTZrU8ydK}I*MZf7A9yywwF)K6N8ptfbN?3j_hhe=AuQ6due}b=
z5BQj83=8Ic>?Zk^-TAaE)-ZKwB{#{(?9*q|w}lTbSP9p_{}%Q&I>E1sr7x7j?qvu5
zxWH>sL7^m{qv{$v6aWhjXuT%+o?`jyte0SBy}5T~aQX4-t5@Mc?{eWH*i)+JX(aqR
zz(lebe%>^;Hvu*eWev!KKRo{Engr)_)r8)L16t@lWWky1p0Bgv$rsdYH(@$S*7rBz
zZX?OaJ8;5Ghj1Dk=^@-y1oM=*NM^wG7mmx8!}3}?0}|lod`-7U@XK!V=oC0uAmexo
zEcci4eH`p$6&uwGD>dhSjE5KASFUuy0xvWqBVq2{g>r9T1(9*NXn2Xcr(gh1rN10X
z@@ozujUR{Ls^6T^B)=B>edfd@998w`T_CLN+#mf37R;Re6bw&2lW<#x*=Gaf{9tEI
z*1|t<%ty8Z0q}x^8avfr+>f^8MO}c4n?($0V58&%3Eps+h+*><c<YU4BW|$w8~HT`
z*t6RFlRKPWYImLuzM4HK>jbyCsTXm;!+M^|F0k%%cMbvg@aDNlJNQ=mQ9~g(Qa|jv
z1MKDE-y#94PXGR32``>BT9<++E(p!p!VKphj2?mmaubwJ!AET)cdEnvUqsX`;N;@U
zm?LoM_iOPazxn4u%=4r0)JuUhV>r$G$v$Iv^+EXLF_`yytcNK~&&NJ{9A@vX9kYQ=
zK6>xhfuF8LbK1cQ<Fsl=V8*H^u`Y0Bpv^UPxaZH+)^o4}^FoRyd|9$e!5elLNZun4
zSN}eI&kwew;Z;<Cjc;7!3WX<pUBji}R$(QRD{%b$&)B_iz2>>LSU9~rWS0P}ko8$9
z0e1AHl@@}z#X0Y1kk3EW3gm(X{`5{|!PcyuVLY${HJ#~gSTk0IhY?<ybnh&JTgB^z
znMirt0_Ad8J4f&-$^WO_{#W`KZiv3oMh%x<-^bSgzx}&(`X}=1OA290P4FHWSLa{w
z@8nvV7qF07LghTHyV*+R6->v!q2U``G@eq{57%oQHXDNzSh@uUVJGtnn+bTxl0JEy
zeBQk4{t)cWp8IMN)}uU7@d0KV8d8~q{RZvzyI{98%7@?Kqc2|?zlK*k4+^fpbp?ZY
z?Qs2z7nXnF6*2YVPPoXAu8U?3=lkQ4<tAABTGGaiFxBq|>n(6*<!fI?_(Vj7UOmkG
z(d;1;Y$nTL*a)|TqzdkYuiaqFse(BgIIXzgpTquzHL&Q=sV*USI@(pO816|oR}+Pw
zvUKX)hdV_wAMS+%%<58Z!#j#tXJz4A-W)gXz+MlGtq#Dl$+R;!;kd(HsVZ=errq}(
zSihZtP8(LV*b|cgTPghV*Mk>~BNCHfDsjbGLwN3()5jQio~BUP1Rfcx{}czWcuuEU
z!*@zEWUs<Sw#Kh*;TPR=N|EqR-E=i)*es|eA{dT5LK)x+m+WPW4}~pDG-ofsD>Yw+
z{Nbxj#lk+YAEnYnApHE+eCj1Q#DR8?H=Ngg@^vsQc*sQIBCNxgsul&02XbF=hes@b
z`NzOHa&?Ip;E5}jt+L_o)Bzt|;i4BGQg6Z=$2vZ_!F1UIbcOK0=rGwcaNw^XwY%^&
zZ9a7um|`29&=V35eRItY&h|QORR;_6xZfb<-$j2t^a@^^VVkjrGybUib;I9X=_nlG
zZx&3izQE(b1xKx5(-&uHzrw`{Iu@tl`SEXGR^hh_9|}*wUY3Ui*5O0b{q;8Rvg&pp
zwsnl3ch;NCVD?(aG7h-HY9ogwEY~-eAO?30M>rb6o@R$$NWf3k_Ii=>&ga`o4#MwG
z-hFxkZuq<7^C8$Ne67s@me8~?(}8>4Jy`T$mQRHVM_|qYHo@cY(A*v`3sT-F)Lk3y
z%?K#5BJt>cA6<B_`BR=V@ZFC}&1!Ht2c4M{EPQPA&0*MvIZ??E4v;;_qXN$izq=3s
ztGLDstHR1VxTnJ4cJa^uDZ+Y-Hau71lQ*J+55QkXW+>9&tMdad<>0^1#g#H(?cL&i
z`(S<F|L*0&IfmYR((tfn*<?Pvy<>;8EF5@3xvc_Ty<!$14$~W7q^N=mpB9Bm!sfyC
z|24t|CR1I)uyy*c;%6|W>AOi%{xfUG`XJmd`#+BEJD#flj{~^bu=k9}US*V&uWVTf
zA=$|;G76z+$S5HrL`Y>M6)HPhvPWdEL{<_F8Nb*0{rP;n-}m^O^Eu~p-tTkob$7`K
z!cO~16-MCLv!X-9@r%;xbx7aF^T`@&5#soDJ?4Fs3Cr2sbtC5c=Wem&ML0>@@U1Bv
zx!=G0JAB^Qrh%Ams<GK(5)yqC*;Y<QVtbEh<(J6d!eUWAGa|qIStm2xTsd^!0Onl%
zv6~HEzBL~}<ol=FF9^e$Jc*6E@W#Y*Au+h?I#0VkY<KBPq73ZxvzC*X4~387opP{C
zRi`L1e;zKWg&OeQ_wJX7`IG-JKCcBw3#|sK!&JST)+b^A?K@41@SfwAiAHe1ABGMk
zIIAswrv)7IJd2B%kM&bMDpv5>^n9_SaPXj(fII9xA%9sGu5!C+brJq=xGad6&l<PN
zHb2<yxAF%`ScUHQjsW=Gt=f+L@b7RL{~Pd@zZ$m)T&V2w`WD=jRJTtI=0B9RFAC;&
zI_AL-vuyWSM#C1_%2$c`^gVatSO$EZyzm1LtZ_Kl?=id}DBHOgR(Mu6n+LO5q;qq?
z|3!V{e*rJi@(OUlGrmG`Z(xo+w>_9(4lkqDckmf|a$gqs#-}KyYWS*-Qw<F~G5OZF
z7UthK`GF3msQo$f5mua3X4wfxOmgzK!GGfA1*l<Xu6XiM_{r2A4|4d8M#+EU@Vm+#
zzLc<g+S-d*SZCU-X44q`>>%6B9Q@j-^TRfLy1>NzCoE{p&GHAH+47EEg9i=cxYuF6
z6R*j(U@`Flrxm#4RjVQislJMM`ALsexc&<Di(T+Z_n6WJ`0ld6S1LF@Cg{U5%(apE
zfg5J(DrWu$KL{!z<%NyTiF41xGVgzT3&V*))=pD!jWKn;C`_N(<vtDbGU)Nhz?^a0
zB_nX<TT3%JSZ3sF(*!L1d`Lk9zF<wmJP3PP&UtCUJ8lMZ4Z}hA#itD5wV`y!Ubw?l
zevc7c7RTt`2WRf|i#h|FH%OMW!|Nl#jh68IA^N6n*tDE9_X3=_#?RCO8$R4M=>gjo
z+~;hA2O4!w`N6qb84e9_cj<|{S75o)5T9oFX=JBIB<wL3T2%upgmq`%g>w!#w-Ncj
zOid%x;F_s(998f>E7Q7k*pQ}oZ#C>d^59?&{3EHwtppC`jCaq27v}P=RKPt$?1tq;
zK4nUMF?@52DWVddK8P=F!Ch5}=iA}G!*;x{VTSqWC!Mh1oT}6t*d~`bYyuwG%jf?B
zmKdX|o`UzaT)tNX|9juTyb0e^*B*EdudFrbZ^NDq`)6Om?@P1~Fpy#XTmH!Az(@Z4
z=fVWPerl#u08iMGR7k+PmssMT!J+9tSEb<WFC<xc@E@nk{l{SKvbT$mVXjwB461Nr
z-5!cuxciZ)g9V&5)M$_ibIx+4S;1RPa*o+>jorZVWq6gp`(-*Tn)gA>AMQ$NXd~kN
zc8yEPaNfKLM+Quj`9>raP7*iHsE6OJ4f7l%$NIQ$%d{2#Y&HBv24>(=2_nvqSe_{^
zEBN+{b(vB4cl*G^8Q8*rUgrz!SnqMj2af&PwMCrI0WWMeJYfg(_dLY)p^?W`b002M
ziR$?WALu0ukAX#6hUZ9eeSRJY8_I<ZN(wV}!zUG8A7{g5oBFS4VeQz;TP3jB6A>p?
zn3g|T?=2iO_v|V+tii*W-T{A4h>#P21HVi=w!uEP1@wsZP42N-=~uW;o{m%oZq5)4
z`2w4tf5CSIZZUqPv4cWiW#fESA8|kJi1nqWfJb!wm$cwrw*59du!o`V6XO1H{8OS3
zH~iv|Ln~1q{P#l4QWKW#_q<^Tw_h0NSBF_=E6P0Jb1V0cT!VWnMm>FDd0J(XAb49u
zLMazc*)v6Tl2Tu#e(CM)On8&;q=pgf$oTWaYgof4tu-D#`Ouz;s9(qRXm>n-N6)S*
z7Q+cva*8!D*L|Z<qMp?ed~&G{{v2-ot^}^lY2x|?Q!+m#A-4C{?5N2f_&~t8Y$eRD
zY`iYMLto{SHB-<V_)JfuoD^Iuf3=_n-pSW9U<<qYB>yJr>6{cDW_#FiXEi@jpI4mI
z)4mJ$&NjPMz*%jz*YCkwt%-Mu__D)$%~!BQdh916zTPMwTnO_Xy7-%j2L~Te?}gic
zTc{A@c|Gtfs1I&c*0FDZ6N(<H{DB)+gq{=eMM~y?b(nQgu#Jctky0Gnvr}J%CuW7U
z3hvVj^y7s|mB<tt;Q<#HMHP6YqdJ6$$2=dqqz0!Pn0QRYP3Jx+IKZ@pG4n)RRR~|*
zfxp$)&^Ez~p+fTEaGAWl8PRXhl%`&cgnw^j`4jP4#cOi;@Vxb*8Y0f^ymq00$Unb4
zNR02e)$sc!SbLYR0I~hFaO1zt@LN&^C1U??P$}q7!KDMQLy6<_>F|rtX}Gs4Af4!k
zg0*5lZ^2^SvomFI+a*dS(p|WI#rFIqwkK@9@{<w%R)1ZU=zk<*9Hdy_xQ#c)<*=KN
z5xo%HzL)u75zPOlMq31abyz!}$TvzV5LbZfCR0~m!sSzY9FD@D2D>SV^J}bex0W7U
zK)cs~IKNi8eS=TH(UGNQ1+Zz$g=JHi@;*uWGq_u}Ps|(+%t+48fqSjnQtaS80o)47
z@aqeSw2tupwwEdo;bf}lYwoaF`dm2CFa3PI^zI_Obn|L#0vy~jBkB+54s*C&gNJlh
zdauE?C0XA8?}yqJHN#*#b3r{<#C3!||A>P7C9+SQhgq2W>=R*wzY9~Aut}ZWrxcil
z@%(}{{8zwED+_-8@o^AweRu93DanS5h4+LK^}aFLsMssGc~+)P8xGE9KUWBI_T_#e
z>cuC&IC{(A#}~?Yh<a~V!AaUm_{hApuqNE&Z*;8zK4|uzhZ5|r7W%FUrg3`hs|*i?
zhlzH=K2P6O9ftEAO3rq}5n2*W#QOAJxV(E1HnWhVC+fdymT%M}aMs;N>_q){#dslT
z8t%E2VoTJ2*~aW|XW&x`)GqtsoiyAc%kcOr=__H_idWrk1&-43DiMVpP95)Bhdl@F
zNr?Jy%I^ZzCahWAxr<m&<3+s!DR-kj6RI>M)>~Oy{2my5IaTZo4}9lNk`M#@_Y*@V
zu|A*deP_c2GmHl2vcpC}l^tC0$h`FrdU${Tz%Cw`Hniz4BRsY~c0~y0aekso1%Gz_
zTPOnC#nR{!^`O*F5<zMB<?%1E6tLoLHfvd!gj_FW2dtdQ(|#0=h~k;t!u`cTR%WLX
z{AJ+A90}sA%?kdS@UIf?fFFpPikr>pzzf<zH-5s?a<-PnuxFauN8<jqP3{_R0-vqQ
z>|TWbi}0qjhAn0G*%SA_Q!YV%XW{0AAh&VY-7aj_6+XVY^tTh1PQGd30Sl&TkoCZV
z6frHnFyGgl*gE)n;x(l}_;lCbWTO5#ap`WsO}KrBq1ank+|HdZ95y(VDnrySZLfl2
zV_?bT&|Sp+f1z6LzX$Ni%4UWvI5JT4MLKNZoHTO>o;y2y`WgH;r1yIi9CUm6Ljml+
z{pZ>>*#2A6(IS|~N;)hAt_~@9UJgHy>acc&$7>nPYT>}(Eywe)XuW9DM_8MKe9aQh
zp({}6fGJ-{ZCb<cZZzfg!+)Qq_Gl5W-@A5d6fQgPen=bc-(+a`3e#U?E|h^aJ$WxK
z!mk#k%H&{Ll<RA7LkEeDAYAGfVYCkajbSqqhL6kU){;@_t9<=^RD>Qb+`4{YH(dEb
z`v4<MBk*K|5&k8Wt-oS~>v3S_Jr`^nnQO8NciYg)2*A@*_r*tGQo)o#F*yBTl<XM1
z$W*H*3tJo;PAnnvRq33RV1=2cM`dte_|bk%xP#+q`9t`3TYHHCe9t+wE)7<_yd`!T
z4h=p$ehn@?W=?GfFZs~ShQO&>cY<7qeD634dpIsG&)N%iq_L)PfVcjQw_kzRf0T%7
z!arIXUfzJoW&EU%!=K}~`R>32o7wuJ@QImR(s+1i!ooxxPGgwyPK6Z{?L4VrmT9w7
zPvH&TUH-IioyUXv7qCqEWZaS=`iJ_~CvV})v)3Lj!xaS#Z13SPb4||y_-YPQRRet8
zf52}D9{gv1pdEf`<rr51i_D4A_rvvkODR=wRhoCm7#y)^@HQQmquFIQ3x}AtR%XIW
zdriBR;l+73z5B3_J(cPj{4{>bI39jJYhJhs^WQllaux2l+<u0F8uhGD-u_@%-*ImX
z4J`FpwBjNh7V-KhBb-<iU*`p1o+r=egaeHzjqG7jr*Ljw*wy`lxdR+=boj0?y!NYo
z+62y^KD8kZo1T(cG=nc0=eWzkZ9&6wCt=0`o2Q3h6&EE%BRKqFG21a%%W>+u4$Lj*
zVxR&udhARh@+E>?AD@B6GBZby!^%v11}$NR-Oh`8upVzy#RYh@`j4Cj%vRyI>H&ZJ
zE~u*u%RKPY4u{=G@?z9rKRJ<*NSK^VyMTyW`(4q@hlBd6R*CrcU1C=Y;E0Y4Q)`&5
zRqxmy8q9ay+(T3NJPCy_FPw9Bp_GUhYAY$Kz&rmFAtCnnqW7A&8Z2=22(Jx1@I_p~
z0hUv8bRgms6jK+S;D(1A0amcU%7?mO*ehmF4RQPi=tKTphjWMbcbdbwV;rOR;lCzY
zY{c=Rrfg?TfHwoq2odA4?Q{C`6rS>RIe!9nBIlCMfosBkcoWCZBF`!F73^sCuY@>$
zVzX=mg>a7#%?IN6Wfi_EuY;EwXz7UK$NtCWX9MitoxrLEXK?2`w8N^uV=a%tU0$bC
zJ7Je|65d39*XXh3Z}71S?vnrDAh~ZM3viXwfhHCB9obE)O}I~uo%RU4X(OSw4a@eG
z2q?qlwv34!wE8OCU*la5!&k~m+PGjAk^+B4crnrFl?2QjcfCpuR{r~IMhbp@`(YcA
z@6;dt@fiFn)rnaeKCUW9rV3BGUf*{R7UpmLVgwJ8X}CzjvG?8gn7|6U%hzOKFG*uh
zcQ~3YyIveNN?pmm2p>4r)UzMXi-?R2flofZ%qaphkc!pbfP+dBMJ3=v%hgZfV57+Y
zJOp6gi`K&lFk4*fWg(dJY3_+fu-IYuavnJ4pn7NqOs;YFBR}lOGwl2tE_4%Q;38b?
zlU_u`jWqW1!ZhhLH|pUd>pc!^aH!Jb(nff*bk&E*XAoCR?T7QG1524;lFs&?0a&z-
zx`qWVzQwIM2`^Vi?VyFF74w6>z+8U$tc-97zn1M9{NHaO%iXZYSa0HQ_)ABzJvF?G
zao;WyIvoFfVmah+z}O3AGI)Q)+n1CuRn)&%RIvREp|#DEc)oZ3)+`OY@c8w{HheXq
z`wT0*FPU5I54>>8JeD11<$0#F4%>@olkvgY(^Szbu)etX(S7iv-*JhnaG~Cn=i=~(
z*q=iSFss$yNlDoCHO2fgJj|Wcpakc(SxSF{ljPVomEonqsl)T|dY7YzHq6?5=;{<K
zzCQj`7k=qbacde5VUb}!1(yl#{x|~fIgx8%3O_cu*EI%vO#OXt4c{66#P%8Xmc01e
z7OqM<!#fC<9;<e7fkQSPp6iB1l4LX7;NNPz=X+sS;aiM8aFoC0t5#Ss=BM^$SpCHC
zyLR|;ie}kWIM;+_vk`vEQurenPJS0h(F_lzP@D^gn`0VvYT)xi9x0LV(sd1^IyhCN
zhB^+OlJrh2hi})4s3*V*`Acb)@GF(T;xu?clzr+AyfQyJpAHM|qhBe7tsHN+zk;vx
z9XMPF_p{GZ7Qr?tdB=)jPUipo%Ha!c4L9@QiBBm7m9VR~@|^;h|HSvbjqpAe)6QqG
z0-xUL4{#K(_E;X=duR2?0Nku<DwqYcI~jNl!Ll0d5>H`&i>%2hnCeKMXBteZxz70&
zzR`TbKOMGzbMnp-yb^6#`2d!Dl~ub8%RfKX`Vi)zJNcB9USEamrvhU<ypthwm>m9a
z^(99l9J~4J1P#pd;EDA;xQbpYln(y(Eat*}c++{sc`tlT_3G<LSo6AaIzJrTxKeT#
z-kwij5Qp!|4sPCp16jw9OTxD_4JgCl|2E`H55kl;rFDbhr9;=2<zdb&_A@u(XCab3
z$Km3$KhgqWw;C@hUHGGi!_%v<lTdS@G2tzRxy!JrFLjX#+?bsA!w)`Vc23Y57WsEY
z-V^qC_t?@F7M8HmyaZRR8Xxn7uh0raUVw+KVlI2bevji~Jz$}-*{=aGx0z|56YMA}
zz<U*@3OF?F2CKOBlH7xD7c7aLgG0X2D8#_tN;Wc%Fk8K2ZW6p-oypf4_CED+JO!S$
z4Y_Iyv*)cEWx?a}2Wn5lkvbv~Phl}PsxC`d^wQw@w{TC*D^?RYmWw*81h)Rn!(#?V
zEIF{$z=ufRpEZCfpWfH2gK0&RJdI)Fk6QbC;eambH@a|Tn73meTsM(gp%1eTwDyg{
z23FFfnsCIkHQEU{)^{g^4*Z}oZ}|tD;C0_b6<$l}5?O`Y&$*o=^3y7BQ&BSLs~jC$
z$X0@<lAf#XgwN$Rye0A_tLy|hV8N%#|Bk>W88<Dt;3LO5sgA*#9~6#Bz{lz$4dh|{
z*JmzE!H1O`t&hTULv-fHVD}^KnX+(qi&V4<EcNqf?m>7oJ)A@b)~$ZDC<&LQKRK)i
zYfJfUNW*#!7F<?vKtQ*O7`)wb$;bvSk~*d>0f+N+);hrzdhvG!V9|p!e_i0@=WY*0
z;3|_x!&l%`oszM=u#|TZa}ca>J$i}Ak4|v=br%*$@0HyHH<w<OiiZ6Q@>TiZUt<Ru
zGKhTrZ=oFUKPs)`kKwzWCQ)4Q@Ni~H9=v_*ZWj|=$NuVjKD?-6Kh6fTA93lfgt-sI
z3ev+B0he}H!v(us<e1^_k0cj5;Tyj9{HWp6Gx7pG@Qm%>YqYSELR|b1Z2E|+juO5S
zlhQH*>$`pL+6^zgJXNp+9~a%lMg~vPota*STUtg0cfcw#Odm)YQE%>Ea@jJ#d?d1N
zlf!zq>ivj(<%;$R7FblZwR|1%N1~k^>~IzpQ#T3X<WkcYq~YQ<TDHH4|4E$Al7%ye
zzX@)_<E?48)!`+r5tlXirc!F9CTvDo=11gv`<i5!!R<>=%74Ihi-!H?@b!;Obw6Ql
zofq0?VZB>_b}YccozH^L!Osr%ur9+%6n6HP;A`%$&dkEv_fIGL!pduRT!{RhW`>|J
znB|3C{ug+k&5oi7_#ll^Ig#I%^gba4URB$@Jr0-36}6_q?vtlkXW$FwANbzF1zH?u
z#^8zNvePB-O~!TSDLDK;pQFw2_0`wUhv2xOb6zd*-8Z{xC*Z+kzlJYxYeO;RAnYdZ
zyzv!2v+<B+6qbtP9s3PS-BC90gHOuSu&opM?vFf%VcUDWZp=*RSH$ECdttHz)S0aC
z!ra3T#P;a->{;7S#Ct?&dSKbIosu$emQVb?0oeFI_7Gi|GlIpb3ts6beWwo_nowQ-
z1hd$`O}2*r&0H^OgO5_AciO_&vVHrAc>Td0iPvFLwlU6j*s^7*^(K7T*iM=l4?FET
zUmC2vSmDzO@6Vh#oen2Zy5$h#dv^G^*B~4n`eMEt7JDj_GYpf8OzkF)S3_ci`xd<O
zI{OJ?{2%}LJRxD$SJ7y)K2OAp_Iz;N2k-fJqkxDj`V?je!Y*G2T8a3BW-=!&xbNq8
zdSW~|EQ_hyaBpa$5;33G$wo8+;mi+-A)jGs>E^(z@P4Z+4~XNhn^4)22-AIZA0&={
zV0F%pWVn!j>kkpntDkQvgI!#v6#HTCFMVW{u%6Q`3*vmp=4Sga3a5rzq!DpaY0~X+
zIG2ffWf6WZWIUq8g7IXz_z~L^?vc?`gTL+P3ns>wK!2@57j{g)NI}ex42_}qN%*V7
zzW>jsMn&4g({MrYx!5|ymv`Flwu0{zGbT5{&m>+4IKXj=`9qcP#D#mWonVd+=2P$C
zeYB(dF2c1uOF|{^6YG*QUhtfJvQ!y-DPUL271%4|U11(9Zd{~r4et19U6v20O;Y6D
zhI4n$Y&?NmT|bS7!^tyuD6$FriWtYjlppDjr^5$n*TUoAoAN~lnQ&d=@%4vr(2PuM
zGJNhoCYeV>e7q;=A$(KK@$oa5%<jZc9BlSm5?=wv^)tOVnE;aqgy_D8qvh;{?!nZ@
zG_M!INt&cmG4OGv<dt%m!`|~^I2_1eDOLq1lhFA^!uoe#rZmF$=lx1=z}X%iT_4~u
zHkO)OFtu}?S{HmaZ%FepEMkB7)hAe%-sglLEZH8#KMK>8bVgr<XTGYLkHc!YP7l1`
zkdEZ$SvZ34{eUZc`nMj*Jk0gz)WmuChE<l=Pq<;~nScZA8)uxe2ESfBBH;udxtzzj
z1-HoezBGf4Ik#_<v0^*{_V3K$w;twysNj~Xxql7e!J*Clv~b=DdD2sG=Zn)Btgy>o
ze|0^WQhdFS9gYel*E<2<_czhzgNud(I+S3#?C3Xwu%$O?zcPH(bzWEs7B6(Ol!i;D
zIpSqtwd)J^vhZzgU&^EK+w|iz`{3Wx3EszGshs*HLD)8WbxMoKf6C~?3ctwSVWbCB
z&O`*T!v*zDwWo;J*M8XA3D=6BKVS|QD*d;E3O-xjnqde3`+XsD{RGyBi*>Y)Fn|6~
z>;`P@BOL5b#5J~97vZK$^!O?f?zgfoJm2BC1t04GI5RgWa|{ksJo)h&Jkc?cGXc*C
zzflZ>KMBoBcEcuhH*)U4J43Y(_QJ>a&2h%V!KErC^)MSv-t8p#zESG?MmTkp=}!i1
zR?6NH4$u6$npX%nKCtMEgrDwM;x32RPL}O;fLYpqi8sPG-Is)&U~2jEsqHX%1D&Tb
zEU=IL`2c*H|Dc~LtU4LJXA-tLW_)cQ{C1^pbq;ovybvk~ld_z0`U$%-+TNvvj|AEt
z+kls1+~an_*_)#;DcDe71WgW&>*Mpljt?v8VTYrWlauha^4<d+@Z=%CZ*_3*>t{Ro
zVbxpbmm6S#MJazV__4qfpSSP@{^2Pp_+@TfKncv=>0l}kkBC%l=D-eylr=};u<0C%
z=kR&&XjyeQSgj%KA)I?`-=pJj@!{w9(qPKo7xad(mrp6<J(zbvHqZp-%}C*hfj_Ul
zU$BBRQ@Jg|Ve*Gp_u0bQCjaarVO>7zcxO18>c><7+?o-zeIAbc+cFmfyCqY5U4o5^
zR3tCM<v#D9`NAqvTylQ!_gMpuV0f@N;?hMpvTOUqbvVEDY@ioxTo?U50_LV~t#E~<
z%aqpcz#Wes*PVy&incq&!*sPfDIMTEsVk|8aN(ySCKuQ_A|*H*rt)Dhv4cb7)ZgU7
zYrm!~?BOpVy~2esy}eSZ1$-<yz^WLgvzf`Yfhm8cDmTEw>hkku@M#9s%T4g1a;g<`
zxGt#sYX`jLZX#y{>*V<C=_caF8!D!-6v>0_NqFp<(v1`FV`=$A)9?qU#55vaP8#@c
z2RrJ0#}A`KJV%gAW;e|LCw=-PY|8umF(WK@!t2Rt_$dXoJ3YLX^!>dp{9RW|P6l4E
zX}#tQhqyo5+z;RSayf-Ko=)=Zb%yX|Zksd2@#ah5y=MSF9XaZ86&|})Ht7r($Vf<q
z!oh45FC1Z=`h9A5;46Jeq`~mTL)@fs@IuN^OAtJsB*m5tQ%Sh;CBhOS`#)vCs{5YK
z#lhdsC=Ne{11m(VQehiwrH6U2P_K<}3cOHz@^L<VdUNc-V>n##)Y)R#=Ma;91}v?2
z>mqS}Ka^n9d=1aty}Q2}){Ii3e+kncetxJHK4?)M@(!L}EM9Gfb%rN(-w?jNMb-{a
za1Kc|!reP)Yd^uB4I97f;Mh8c&H?zY<d4B#IF80YdIF9irG45BA6gtqn}&t&Z-!05
zy4!13i*Qm5v+)GX%XGluJN!~SvhEwKn5-@E8@{6RFlq+gB5#uU2mi+(>iGv2F_~T_
z!+PN48guj)EH>q}y#o$+^X1vef%Ro0zKRasF&sEU0oT1e(8dG@?y&jD3U9=ozRLyc
zWLn2F!?90JKjwooo%3cT;V)TXXGP)SgIR^*aI1})rzC7z8I+(13yJt0I0$DIU9>#{
zr)Xwt9)<UYy(}_@nIyhYsKN0sA6_+t4VJ2ywctaE7wpc$&8Z|kC*ZCbV{uzpDfHWf
z5ghk>FRdqBws9cy46Nf#((evC2pcT8!(+Zf8ny5)$FGvadb>M|BCsA7_!FUi0e)&C
z+%W>DTd>_C)@P%u29)E(>szW*+~Bki9%uf-aYm{`_V9<rgy?_ph4$NjiMT=tvndZJ
z`V)aaN6x_{$w%+(g^!Lzsyf1kb;%nd@W-uR*RA2xbCt5<u&R1^ge{yJ%kxAQ{wMvt
z`7}J(cx><>?D~>nz!DZu*s9QkKeJrqG=Zx+czzy-n+>-4%;1l|t~waP#v$fs4d7_y
zloVrFMRUf*5PmSVPHhQ~s43=Z!*`Cds9D2YwWmw;VJEUaK@V8#aMm9UILBtu!V`}E
zAx&}|zIMZ))gP{r^;044PhS`8$pYagsj(;3VYgzT={vBtX-Bjo%q6J6eGi_An|nm$
zoBmked<4(e?HxM|YdBFK%!CI<^1mK|duZIB=EBVb!@{!gXmr5PbNDmauS4>Lt&UYy
zz%;%*zWZUpX`R(7STr>Esx<t7I^VGgK3d;WNt}PHnZ*yAVG$d%265O;lbyC3W^nbP
z6o5y*?NRTATcS2-gkUqOkm6xD%z@<u58PLAV{R0tVo5dG3!7SewVZ+D-WJ5O!;@TJ
zW52<lmk*|L!mfvO$yZ<rTeV?Ec$@tAkyThquxW}JzWeZb-Uh5@(;+|ui~2tu--0(@
z7)ub>Tj^aY<DFdiJXDeCdE$CJ<3}348&<m4@4XBDz03J8Biv&9sgMMYC$&7l0)MGD
zEhDaH1%{f8J+O$q!TLI`_fKqveZ25Dqc+k__{L)nZ4vmCM&Wg0{fL}gE|P$UTqPrj
z^}~G9T<9RYRmIUf16OgYSjxkDFUEF$gOihTT93hpyQ~cdVfJJ03hFS~yROs2Fx!Ft
zTs_$9M|6KHOvQVT)e!Eb*&Zd<KdGC4Z=1u5l%IK<;GfK$6&7&&b4_7ly%hYVxc?kn
zZaV+86h5jumh233$e6q+ha)odsXgK2Me~xxdi_Od()SWfSAX(g0c^I*Xf_C5w`0BZ
zjClPr8*eZyyx|u})FXw5Z%2p08H>Nxli-OXyZ+sQxvEUah<YSw&Hq9?oW(?^M%-U2
z=?^_lguUF|bQ0im+RvENVgD%Jh$#4ir>#yVoZx*WCK}!=+*OtfOSpZa4}mY|91$*n
zJ#I;`-+;Bd^B=s0xlOJldc(nKJITvo@2rn$m*De?L6_=a3g`197htY3!Mp}IMy33V
z2h9E{nY$h44_-b;+;2lECT@4b&!QC1pM_K7PX8H%6`$D85%>Qp>ezE*@Y9)`AE)32
zy4{~<h<IO(rv{wYaZqIe_BSB+*MgU{3SO_m9+?sEj=`!b$}_*<%B<!p6*%c&srfd%
zvsQOY0gh5UevgzJ?^hT^P%6Sd@@uwt!~dxT-;#h|FZ8(4!Rq9tcckF`-6x0H;P%f_
zEkf`zRWBna+$rGHEdmF*8{XuHGwVMw^1+{qx=IA#lw=yteXxI=fw&~>bbsst6a3le
zc!D(i<soA_3w-x!!;T~H(9cVwH1K^MrT-LRm9VGNbg<=8`3rT}J&#;yCp_&VJ*5f1
zX_A%P4cFDYG%<jg-`+V-3V$-;k2Hi8tV_Mg;g5SW|Cz&omu-Ih)I)#o7vN+Kd$orB
zS%dxF{_A&yJG^=iFTqrS=V)DE*8YF^w>7wbAD+JE2`3y^zcvfY?$#~#hO^{dL+9Xg
zYOO+n@ZI)#@*#ML{ccP!-1LJ6KO=&Asezs>9G2kJ*8K!WesDV+3G+5O8}-9qR+e(^
z!&NO^9ZfK)#6#u>aBcoVUo-5{%omyt|Bd8ktA#nYyvj1+r)vj!>fsE|KN5NH*GD#1
z6>y=Y*4cdcP@M0%D){7TYj-j1omx3j04L?zDwV?d^_{b?VC}av1vPM%;F3r#93Uq7
zr4IJ&+ur{iRx2ttZH4VgIXtr9R=Ho1?QrFPqL-h-g-3%o`rxOsip6Pg^oL6PM+MYl
zzjeyf;d}bWvnJs0$>)y5z?#Wrv|r&n_uW<Q!$z^1!Amfu@}=NNSlBS2cp2ub3A%k3
zHf*32{tE{vTx+-myT%^2{0Eb3gtp#>-`uQgCEtV36WzW}9Sk#DuaNG5mAJ#0uETz<
z*L>(;3(;#vS76Sfyc`C&QtO6!Ae@$dn2QsB#e3<24;&b0caj_SYxI3|8Q#0OSS<io
zNE+;Mf*-KTONhd2JM{%zVEv!<snW1oqKv&A{Du8Xmn__|F6C+u7km4tE5ct+(dAgc
zK~JLnmEdaC-7l?R&!D|?nsAcimqioUp<H3FHe5A4vT6ojVQ7vqgio~;$(@8#t;QOR
z;rA`ij~c<<`#ld^!W_1GC93eF-}f_Z;nMrZ-mAkCN<z#ou>av*TZ-`QG8t_**kJW9
z#W8sKYJI6UTzRfaT^=sl*}ilMuFWmbRe+VX&)Qvu2d3O3q~Sed&I!RVb&*w!EZmy<
zZ$~)X_>QeZ9IjW{R*Zys7%2KA;iSO07x!WRu@V*`_^D+4WIX)6`U$rPob^T2Bn|#z
zVPdfte*aiFA|2MDmv9k)RpSgVyn?fNx}R~wr%m-U3*p%1iWfZaMAQURIULYzv%m^(
zSq&bqgkRgqt#iUp4Jakr;h7h$3QTY@|AuWRT+RAeiw!=)C89n7ALy42rGpRt;P#(_
z4H~{?5OL<+p2sM8P`?|vj1lpcE(f2TaN$>lRTkLbBmW0J*fOd>mKOdT#k#qVh;M`*
zXNEHcx{UsVzf^w@rG~dB>TVx{s~r2|=;2GE^R6f1+BAjko$#Bvp+`n=+pNUEZdkwl
zB7+4?IUmMO1_z~CYg)nj-tIy>;Pca=qVBNbZ1uS<T|9p(@v^=MQ>$cq5&4&Prl^F#
zX<{oc*AX`zy?OZt%+mhl?FM{Ei(@7duDve4whC{HZF5Hv@t52izu>*}@lgqIzogaC
z?{L$$U+n{Ub5c+B2P|w)doTm;6b}pj2EVXfa(N6lxn90K59=%68q9;A1wOBzf?w;{
z)4zb7)stGL;izYSLf*i7dz*KU!p)UEZ{ES(7mFFj;pqo%BGvFa)^UT+@Sk!ut6F$_
zso8W8HfJ7e`v{NQEXQ@jM>JlNwZW6spHq6_A&%phKEdVde?Pav_slqR`(dx?@v(N;
zGv_teIIQ$-gQp3eUkN!m2|ux#6l{i>YdLG?;35vX%u+b$c7gbJn5JqeyBzLl)=vEm
z>-%m^7s18qbX|Yp<4;Bw-oSbkxoTv*=m&&n#S7r&$n$;_@b++n%qzJ0!;Wt>@Z*H`
z7a6b><qcy-nEYCH@nhKG9dA7+98&yrB?Z=Z@BhOMy9-_Yn+hkTUUCzJi?rM?N5RR5
zhkHa}gKx?~(J<psfTj%0(koLI1`Ab-1<1kT+hjEn@R#uq^NR3F_~3s5@ZP~arYi8m
z>1XOe@UDxMjoPrPhUfbWFx?As=@YPP_u)nlnD6b=OjEeHvn}{E+?#Sq*$Os35_S6w
zJWI#<+5z4+-=(4k=RIsPI1evBe6OVeR|j}h`@n1e%xVw9{v&~6{_tMU-OciFj<n#z
z5IEe^<i=ijpe0Qq3~s903g?HnBDC|O;Xk{5DVX4<3|Z!QSR;a)ngu578NHPX`?|^3
zZ|LCs2^83u1*g>YeB6TfaCXN%hXa;t|LcVB2mWp=fzLlaBHs=_XH~a)1?NiHxMjny
zoKw%1!=v6a=bpkh-%frngo|p;EN;UgnfcX3e5c0uQ@7y7hf4-U@cX@`H14nimBoB1
zycTM`<2-yMJL$@6IFIe_bxSz5{^P_O*q`c1;2Ai2eTU}@SZ-onP7P-LB12OQ&y*HP
zsle$KZYjk0k5zko6@}MtUX&-sGjdgKTo~rxeo~(cD;Ccr(ZkwLZrTz1(`;69pO%Q%
zzFEp9Ucc{0_>wmE@1a2z5f>osy0HMib_~+bfv;_NDSm?ccaYB(z-Ozi5B0!>K2pBV
z;1l11B#L2=6+_LJ@Z)cOLWS@PYQG*LzQysm*$N(A|499wczxO5It!Se{A==Cc(n6W
zkUHUzn1hwD|LN<#s&KAEPA##&x11e+$iPCI1!BbUYYcoie*pGUtA9s~ccJ>46Ca!(
zRLV;nzaINaJ6^cavNb;+R*pXKhz*Y0r!r2AU(VSli3MJcHS!?FS4A`Pi3Tq5tIj0$
zw~R}=lM1%>>pYMFyBv8+OAZSK9X<CLZcA4u+dhuxx%*BB$HIrBE0ur4oQCCvaqt;l
zw}U_79Kqi98*s?ztk*nT7$8d)3a7p&KRXTQY8&Mf*8^=%<f9RIyEA9Z9WHWjv}}MM
z^e=|(f@99J^R~g-LzyN!U?=liWOeWX-IrX$SZ~DZYU@A3bFvOI1MulL>c#c2`(@Wy
zV*OlI^!06pADHpjRKan-Hys;cZUz2bPhrUvLD6=&n6bB)Sic$EBzcJKk<0fj$HF^8
zbjP~j4~$`z(J<Y?!S)uIH!Z^17gly!i0Oe(c^x@;33k5yH?#xxdVSRJ9Lz6CuH6s!
zht2Le3!AbrDiQf29p4lT;k*M(+k<drb^@gVT$_^g_cNSxCoxVF9={e}J`Rg|D%+{U
z?5Y{BhT)JB)gW1TJ}J)o3w$JfR$CgTTjp?|grAVl^@+e0Ogj(E!6$!3WeLHP%aLNU
z@U#AC86Mbu)Mx%XtlcNQ#RU)F4j3oq%aijE7Zt2AYw?(vPeZQWuf+ZTe&I;!4|s1-
z-=%G$z8EdB`3sXqc&l#0Www>4)?k`8KkEf}H%ScZCM-Y9C_V>^=_ODR`FbMkS_5#X
zt!*m_&aWDUmrVWe`X$Gj4a7$xi}yFe-kZWVDG-11NcUeItU4m)PvlqqKFMALe;fFE
zWEb2=`(=u#mlT9Ai;=;D&ht?ZV0=Ppem8vA_nJil9Kxygi4=CY5_;bUKC?cSNW_<Y
zIc&Y)zX~5b|KabaAL3M%hYN=FWr_2@g5o9ZK{#baqKTL<0TT_OJE+G$G0jmD^U1IC
z&^!w6kiGDgIKOV+G|abvMT7nmdJh*gr;S;`o9{DNOW_kd7bA%Nj`YA4lh-iUgEtjK
zfA>`7kH&L2wJz9+=pXeyeZH9mi+R0I-VeWDD87~n(?57FA`Bm0PpnLa;~c(Ph{A~;
zmPHBhpVQ^O?69Gp+Da5`b8<PC6ONu_nT>#ddDb-Sg74fT5xD{D-(UVi1-EW|=MRCu
z`}W@^gY)@E?EGQ%64EjXxT&to(iirSnmN9K{yO$-b&3bvc#kG<3%+@{Ea3ti7QeiU
z=*Mq{B{5sWhA*TpuEW_gDRh=_>IwSIA8@^g|6M)!LHE&fL_XV@n_)WeWm>Kui*TLM
zj50HPz*5?56LzO+&|rmS2Ty;X#CXI>uh&w-FXsQ-PmEu3?o888SZ%~Hg9+xSli5K6
zuLhm!VS&HO?xrS#`R9W)dEoZ+{O}bmykBQ-@SN!92b6=OR^fd|uJDM%T|K(33vkX3
zYeQl_lGeGqmS9qc@Y;iLvBf0)4D6}ox+V|H?kZ&Y20OARI4i>*2YpUWz~vj>DXQ=z
z7gh5q*x*z;jV`=qx0yHu-_i(B)`z>eKRz6Ri`cVYo4`urA%mabMwZ|&W^fI^{#ZYp
z=#Xz_3wt}hu=)U--!-l{2QT#boc#!w8eHFh0hTc1&8USPube#V0sm((^`suQE4kL=
z3*Xo&x$g~pRFUxr(a(DvSP*^(H!P?=zX`w4teH%QhvaXnN5ZLES7tKde#5tKi2nTz
zw-H|;eC6-{qBMBw_`2X#IN#Yx=o!5Dm~pQSZ1QIAdjb5#@Fl((gnH$=ko`OO-x#CS
z5jZ&Iw@ob^Tasa?2yc|hcYTDNb45P3Yogyf%^&v-o==Tv?}X2Ix>K&e3wedl55dl&
zHOoA>K54_^vgP3CBWJI%!hF8dO)oX@{?RV8_M>onYfH;(IR9~jiaH!vwi22G(<lA<
zqyt;cbVj7Y<;gDEM8EmV>+_~N>=@zXZ3{~q)2*L}?=>!Mo58INWg^0`Z_!{S(O)X>
zagq>)3)n5CiS@;QhD=~LoWLmdD-bU7%o3)CpLFND+=8q86vuz6qrak?*dY2xwZ5LI
zHTcM3=ZkT0CYw>(DBQ*zNS*@g=uTve!}qhueILV2_39SQuo>U)-MMgSYm0RYe4hPA
z&};Z;i}64?{Np{-*c&*Wq;I$q{wA7kR0ZS1I_3rNImUg(wJ^O(o8>F`*uqQU7C3z4
zaDN8;fJG>x17^PSdhju9cDDE*v0h&nrZbC!{hPUMhT*V@8)p(==J5Q^FYpMB#Dgf<
z(P)Tt23FI5loAbJzkA`*cUZt?k~IXrr&Hbc6P{@{<h%h#{xa6tfZbm$m<7PfbAAC^
za7e}(iy*j?nR;;t?nkdhLqA=BuL<d$q=t8CE`IiaKUI&_FvA63gV>zm!O`^<R#+`;
ziqjP?`W5ZS3*+A~pFRt#?afK#gY7wcEY86Xi<EYY!Pds+NtSTlSL34+u+6{nht_c9
z@7a7g_}{kTfGNy#=-<d8SX}DS@M$=>Hr9~ncbzvmxD4TFs?6&uaCN~I9%I;tMPXGN
zj??{ap$n5ZYY6GV3?T+K`mo#L(1TO3-%Qm*4fvw&^aoRzIdf0C7HoCms-g|NyEkn3
z82qXD<^?;rR6=b^4W2t%Y~%&+=zhYd2=9Mfa>EB^^CT5ig3kyUtp&mp6E<fL!Mh$9
z3txjtDasrU!)1x{Nw;B5Ri?)W;6A3g=5To2wJApq4!*zVWio8S#r{<SwxHu2e+akm
zd3}?DP3{#MKY^d8mJ18R_gM08K7;p)u!xJoY>ZmJ3SdW%GtPW)LFRuVui>7cS8n^@
zTCV=&QaB)bIhzYEfAjHUIXuj-^?VO({@hWi9v<5cnPq`r7@B!B!mYa`zH`7T6?ab&
z{chbEYe`1<zq5h2i26{s^YsB{_+UTV?+N(c!srER_||PQ(J%0yuQHyrFx8buDGTt8
z_A@Ui;XK)}mL=Fed#h+S%$W54)izu~%KL*9HZyuQL5liRa{S^dIeesE&4dcBqKuT;
zP{Vo`CLBuiyAPg8Dv%()x@hah0}mcMcKHwDoUc_M?uCD*PXrSAE4+ar(r{niT*)f@
zdcxwhEG*V~?>&)!_;h@tI-H^ty|E03b9y&v!uuo+lCQyyiO=)RU^;F|l|?w$JZ!`q
zuCM6Q`T?hnRM)z~TzhM7euEj)Q+^WlxKB`J)OVOc$y1N0*M0wFe4K$Derg91{pX<`
zy{>uKEAjf-BqClTO!oyop>KXa1vazlW|@U0e#iI`{aH=L6QglBHs3La=;uDs=UIM*
zBgl`EG{K1xo=Kzd#}~9R&F~d#{`5(B*;kWo5I&+aHZ%wq^06NuhP%8Lrityz3e7!Q
zgR^}f?HhnQ>dHEP!v!XVl4I~5x4ZbI2fTmpZSL9+M{Qb~GsCC;FnJEah5ure1mV80
zSNT0~>OETzVfega>sw-bHIoM#mEp`O>z`flb+?UQs&K?(p7l?#c9_htF?^!pnS49!
zOSeH|3M(i&D|N%VaxyE9uz%ysm5=aj>EC@WupMP?2$A3Rb^op_Ff|!}Wh2~oVND?r
z7HQFHYK2dR)yKrc%;SaR4X_YdWKAMmVKYYC0)MJH&G`y$xTCCF2VdU5N4F4u7er;$
z1hd7SJWvNubJ<6|hdD`@>>A+u7O8k5f6h%)vk#^i3hKn8CHy`WrSE6BT~DW<$Umij
z#PS<V+ZxSW0yC8TzB3P(Zdh?u5b;A2UK{Z2Vv1QY?D}{na|=$*?6xa|t7VJ-vh(47
znn#gV2q(l}6z781nESKd!u$sw(@Vg9Q6%F9uzrlCiWD5frZPutFSi3f2nIW5TMNH{
z?+J~4(1yjnW=R*pNjr1->|v>UZ!SEC6^!kS9N_NUSf7{h8G%^&%dkmp%FAq6#a+wU
z4{l2HdrRauYx(Ji!-c~BD_QWLXz{C&@IsC0Um}0S%hLWKEM0!$PzLN$MiZ9?i?d1o
z_XO^LqU2uy7YB3ur@~PS3puY~*Oc{ZM1H^+&%GL0<kCc066`MAQdI|&`WRNFz!%5Q
z$+W`$Y_jY3VJR6p`*wKWZ#vQku%WQZ@iF)n)$D)Ku$J$v-vk`EV5$-eJH5U>_YE#?
z77L1i`Kd*?7hrKuiknez7?}mhCTvsLQ56b%T5d{j!#i&LR~rVuWq**hlOOMQCXsCg
z!!`kjdw0V>DTXL+!5o*)mvX@wcal_s;Mq^R=k~x%augcZU~A?lRzk4u&5B@Oc<P#R
zln6XmeE)U;OcHp>TLJ!ZNv+l!&Y7moIttTn=Qmt}Pd&+DRflhdpC)yO^Es5YG~wW2
ziCtds5%$XxW^k&1o4PAp5V_mR9Cn?SKYkvL`}m~Y4qnObxp5ADd0c+m9?pHBc-s*U
zr0DiK52pz9)L6qxckCX!!}5to8f@Xk`VAIeIDEc^#2hv@4cGLCRf-<$w1U@lYQ!Vp
z-TwUQCh++IUCTQ#U)yahGuSzPrY#Ouw4}aa0Q*RJY$d=Vau-7lVN*wHuSal9<WjXZ
z{C8(`W(KT3ZCI}hf2fdT$%Qv5Tej8UZI>4s&*9dzdpnN93#Yz`Rlv1UBx=gA;I^|x
z72N4|R#O$$I<%v$5hkr~3poPQ%w6C70Jq<ix}^wnrSW-o!E(>y-^;-lER!>O;Ii43
z+C#AG9R=oL*r3;BOA1yxRiHi!M=3H;%EHM97e&9rhZ0>?#9_OCc4vOTU&|WRCE@CP
zlGeX)!6;X-AWV7HYvUhGecShjFnszs<3);nsQ<kiDtX~Op~2}p;HA{PHGHtGG#?W^
zJY(#-!2zc*-%(?PZ*SLZbHN>ol5g-vs!Hs&9g56wsA&8&H{9~V`WP#m*LKKU5S~~|
zy+RB3)}@3C!>_Veg6QF;>Hq%ihucadOLoFx(~l%%V2Q<$^4)O!E!9UyVA&YosYzAz
z`&ZVYHDHF(@~>ZDmGh}&Ctz`Jqn-xX|H9ikQ}~wLoxUbmy4+6Q2KG+OVXTI0?H@VW
z!S~m>IO^dy*MI7H!ECJuPF29aMGge{!2WmAoj$<q|3oF9!M2|tNp!-u;%EM45#Dt`
zwio^=d1#^-wv&?kJp}82Uwl;vmj(%t65~CyFtn=`*6Kab_ze!4jQZRR-}`m6^E-UK
z?vnHr933r4Jqzc)Xt0}xg`MPCm*8V^&r7!85+)YIuW&r$zgZFi)LW$&PZ9afi>a2o
z;Ya(m?~TJ0pT6CphV!kr;)&yPl5W4(9=K7Zy<-@Dvg)773)41>_Kd=N@qeF0;M_|;
zY5U<fs^>Js;FnI>EX4lUU&|3Y3JZt0p6r1iUsyWxAG{)?Xg2~^vT!_bg7@XlrF?=Z
zCvBQsVBapzx6?3Bl(khpd_+1la1q|gLNA#IznU?NSc8LfgMYQa4}04THeoJ$vBqY2
z_`UWSa?HP@^BT_-EHU21OAYU{O<Ej>J5y&RiSw<v>gPK$K|F8N^I0Lz$CaP=!bspJ
zfnuA)`Ma2>H^vFSvaYBVg@u^M3)o?egBL#^gw<$|+vvja7A%kcgEN}Cq_p8;QpQ~3
zde5c`3Ox%aSXOxu>p}bPZ4+DAY3S1xV*R+mo0abmkGbFr6tKfFz93(?qoz{V2F}y2
z=!u4BZUizo!ABp;W<|kvZ$5BefXO48)}O(9^6pLezz66Ke|!Spd;4qQ3hXjg&tC<v
zj@B1mhxr~z{V0b&G#sxY?ho(uinTw%WBk0gi2KjCLu?#9aOhNdbOPMbmT++aHugy|
zO@lAYEgzeM&9+>uGvRpK1%ZEXy_3E`F0AuJ_2(ZrSc~fbaew}BzF3z@2+uz!Dc6X4
zpm~yvivbq7vAR(PFSV|1@xecSeW|U5f1E$o&I_NcoA^l7OY`AUMF-$_4E-@gJvDRE
z^M(|B=G0tjFZ}C%=YSR*+B;)E471;*$<=^GR#`6+^(9TABZ&>no6CJ@4n97T(qRcp
zK66kd>S@}q3&NM-)qCDM|G@g{+`qix5!XKEEx2#L(}}xq;O&J0qCcRjirNzi=PIB7
zO7s(Ice{MDV8NJ(e4^j5Jh7sd2~&y+lybt-Tl-VWVEcTXV19Vt4{g^H_?*Dj9TE8E
zt!vd?aPE+#G0}g?=f*~N!1A&iHblS1u($f_EPR1iPKfB|f-bkd`3k>xXp>TfU3y|u
ze!~f3yH~Yg2csm{HTcxCU8E;r?X}WsI$`u<>H1A(@ZgiuXc{<X!>QK_-WKouDg>L0
z6{R@9JTz@@1mJ~B!C5Y__ukNygRpTxr>iGSF6!?p3wO`n4fKb@x<+M9;H<0PREhpR
zg!Ln-F<cRBa`HC3Tdl+VJe;Ck%6bpBepe*o3SS<t7fFPJZ&Ch;ghvz(Ev3PXhbG^L
z!+QiSkUWF`J{FD0gZEL-Hokxh?`@vWfs3_u2j0MHX$t%wVYlk8^h$VVJ>_x}TyDSf
zT@&0Y6C$w!H#MYP?SNg<G}gbvJLj1a2H>D81&6pquznsXv78|C#oQ=3;7d~%eCFX@
zm+F+&;4~ioqd(yZ7hgIR_^8G^OHw@FnKV}39|$M#U*AVO|M{3cv*8arWqIgu!j@BQ
z_bOnn5F-YDxI5O(x(t3{{8dT{HmRtjT7+--4Xqx8!%GYY=3uF_jkL<}+0-*EtfIJ{
zyg&A8!RLmjCYfO89ppcaVIB{f7)@Bmj<d`HzVh#`jXLafIrp;@EZzTz+85^J=uY>5
z3tzJi`oMeK?v?t(Rid*jk6^QZCM%xsB9E_D2FyIUz2gdeZIqL~7XBshPT33QsLocY
zhxr1AY_7uNyAu|F!JBpp!l5v=J!!=%Y<26UbOdbsQ8$B94DW|&F#d^w-)O(~Acq@L
z6Uh?bfXQFREb!`~&1T|x-0JPq{7f(}tyae)xG~2+jtkZlC`fz;*Sq$f<$yczf%h_a
zui{4E1$b#8F|HO)_0WCl2LB;#&iVkK;d$`yCcMdgc(@u?Z_|^y4NrX0`TY?tB5QJf
z1%EbrdY}#-O9)CXgqL~xblc#;&&xf-@bwYin+>q>$!y9oc%}Yl5)uDhwB1G`j^}}L
zQe8w`o&D`L8LXWbv(N$abn+gRg73J!6C}n{%hq@P0Q~P|>V-*IdaztR4K5x|crpm*
zlmxn@!|xAsH-3drR&=s-!-3{oo1^gbrTbdFu$p2g-89U3y)<<Z{_B{nH3Bn92ef~O
z)9FJ_Pr(si(gk-*;Qptf7d-?|McA5A!{x=|853~c*PHo*@cPQP{sGwjhT5nwd{ex0
zb_|XVb3CX5pYXoP_Zfc1Dd40Ak9c~@5aZEr(x|Y6>1)|t`{4H{Ntdi)4p#fnad>3#
zplCQ8`sP;!@%lxrl{1lWJ(KMKvHyaTyz#{_GuZ?KF}`7$k%qT~L;2-qVEWBn-rwL_
z$0#>qJbWU}S@W=#{N~+xxTfvfNnS}j&)<2fp4eZd?&sI}VCI?1g&(k@W?i}^{9bQe
zU=E(<3h%Opum0=N`UQt(M_-MBDGb-IF2R+j&0gMz9~hBmuET$-jV&ACpaka6D{!YC
zcT^KRT90}H&!6WO7QRSIVLlpPn3BWv+?8wxV5MTcP-gg<LC7<2_-A^E0XHn_mUGDy
z&e}_xMm*0xwERbD6wX*Y@1z9J#xu|i!!5^lh8~A6?k&>Xu^*r3AiZpG5^g51Wu|})
zSPb3Iz^6A(o!Af8x3tQih2{7xxFzA*5l<aw*fx&dOA|J4Ut_um`+T8OR)<-Q{z&-2
zG<2Ce9O3t$!`H6C770nc_OQzxmtCQ7fZZ|iAXrVGwEHeR$a3J%75H4#v(Xq>IB#hv
z5)Kg4$Vq}jZw%yy!|u7ii&Nob?S!agxQZ|3+7tMvMu6o5`1zRSogBDHQC2zUe;nO+
zJXY@;2XK3p$_N=1Nl9jkB%@G9WM@XmPDR-wR5HTXEM#P6q^OLPm5d768L6zIl5FMo
zxqpAYU)S|`j`N&z?s4t`OG!~1K7v`zS(tO+qY@vi%i#OLjlZ74D;C#8s^N~Nw3;&b
zP{fR64a_OwDe(f{C3A1J5th26`LB}rcQ8W>T*k0G+6o`_I@H+#KMZdwX@;3-OZz^+
zUs6)|J7En5yUdSprQG?S@8RUY^CcrNJ00_fPcX&V9o`dgMN@nFFnn7h=h_t99hAvB
z0dLH)QlEu&Ev-L&g`?W1b>?8&d`Z0-SSUYl+bV39{(Z-HIGa^&=U@1~Z)MCJyf*mw
z$ws^n`BJ)5^d}trMXPcXd{<~DZ4s93W(?tgZ`dWf%)^b``M0^?CMVnBzp!7Jy}?fS
zTEm9IRe0;Bjb;MyNz-mV8ga}|p}GA-5<X_gQL&Er4k4NO1F%cT&^`vlpBF9EkoPh9
zyFHg^VgF6}jYnavF?pv=<nxDwO-{k;Zs%y3U<2u|XLVqOH@iJq;r9P*=E(b>?1zV0
zNq&#mo)z-`XDD?gm;?UkG*RyWYd`VVWrrD5AGJ8ae-0k4=Y?-~OIrHC$MX(aa>1io
z)OLQbK*R6%JK<>dkfm_A^-jMN$!8a~T#tnNRN@8&;mzB2G{?g>?<fic;AWS9?-NNr
zTP2SOJYySVlMAa{2z@F94;wl<<->2a<oAlh1}*tbui%UGTG4yqOHWhZk@snhS170?
z;hr<ta2Hk|_~y6|=2q&J8iXy@?tYYl>x@pn{tg!w@Lv^!l|G(%I|Dzndp~gq7T()o
z^%pj9Rk=>`KdXPXUx!cE{+yG8x38s1lJ}W!9Cp>p!jcx{vW)OQt+!IjFkioT8y76|
zMd+<Oe5F_W12?Q`^-e(*=FQlcDgZO-{Mm3E?j4qRAP5_p-}Tpo#{_@5?uVb+RcWZh
z44K=mh{2-NR@J(&m1;7B0=(ZM&gc}}Z??{H43^RDJ8TL6<*5He-q*Sne4{gmz4g{6
z$opKYrQ2S%@UO7iQhiw5B}w%hJVirMVF)W|$UJj`i=Mx}PTmh^_9=!qz{2iKx6i_z
zYD4oE;X_%S`u1?^&rfw1V7XKtGe?;1ho7`3Tz6VJKNr@cqD`@bd+pmZvf<>H7x!7f
zL7~6?Rl`#~v@u5Tlx@gjCA^KwV}~}(wmy8DjQ0qn<*6Y5{}Y-E!Ea#x+}kI}`L*NU
zda50EK4QYI2s1v+R3+m@Xv~{4$?s>CdOeejXX$j_$tVHm{G`A41-4v?P22<j?g%ts
z#rS~_?+0zT;jB{Z*aQoE*mjfa@zb>q%_Hy)*Bf1&aKKh~{iE=;dImLeeecTSIBpBS
zDy&!83P;SfXq<<|%aoq-!M!I>%SFP)k#S|@ew$S1Jaz|mQrjrR1Gns;cPNHcEz*oh
ze9UXe?GapC!_rKSXZ7KUwkDWmFPj*-|L&~|cQwP~!ol~+{dAp<Vr3H62)f_S2D3b#
zrTh*Th-^4U;%&E1T2f&=mA`6P4mrLqF}3qF@WyCfuI=y_;e<LKc;NhfKl1;XwcKyv
zg9CMGe(Zp2`t^Rv!!O4?x05(kr}L5mobA<jhs6C{^9+n&bqeY~<o*}5dTV|L<~v|z
z#}8kuP5o&PYcHSwOO9ukZtJ2W+*V(EVK*GJLAv%59IR0zw+sF|aK70cc7MQGNbY~r
zEgiAGaH{HNFJU-z2je||m_posirnAt-h0@F!WrL8%E|Mfdi!ISo8<F0kA%qm_)UGs
zp*wKE;k4fe;mkg3g&4R>dCo=wE)8g>PllzX2F2y!!~d+gQsGyV*ICK^<m=Zx`T%ZP
zwHwxeja&u4<-l7Cp6Ter7tbd@DTe)f<9W#aD4aM`^$6a(bv(iZX5U~N`W#+1e|g3j
z9(c!<Pz|39Fh4@>ry1_Jvkh?Uq&WR~n6CJb{cBjV&CiS6PoF$4Ns{q?-KRBGT;RU=
zJdG~cU2%U>C@d8#%037u{+P1~h8=e^@BRc^B!;TR!C#gWeoVll4kuV+;ai;{>)+uQ
z3f+G);hopmn&;qTshC&kuu1CXfkoKwAWv2)yip)4YaPzl?6^<@vql_zL5uN=ro+i~
zZ(wb;jvLHy=XUj|*KkhxOd<;`aJ%JVFZ}mJl=U{aYua7D8$SQ{`DH$sEp&GKINW7#
zDZd+DV~qdy1(yA@tg;9GzPHnC8dmF1-y{xGzPY&P8ysx-b;kkt#={B5RXBq+dP)wi
zbqVZVf_1t_R}|oF{&UY5C2;-nDo1I<>xNr(XknYkxrEd3Ct0mm%&<gdmem<J_GC}^
z23X$N%+VCSTe;yc8~mfEdd(5OvXeD#Gd#T8pO%a_y(z3p%LT{28cOnoH%uN*A^DC)
zIT`-2;4LR+UU>B?-9a+`_0;`S4>;i}%D$sy{HsNe@7A5LgWE0oL|7<v{1YFXBX@R7
zGOVG=rY8iK39t;1@wfZfz4-)T53!lgWc;m(<AbREu;doKtB+wn<#W6D!c!H8u9d;j
zqTvY=Fl)<Q)&^MJQbv^IH?Z8|c?};LwMdhOqci2k-oiD!MUGN%_dd}d@8O4Hoda_4
z*Mp<adSS&7-W*xD_Fvztet6Gr40VGyg+$#Rh2O-5epZ0PBE$b9<Ee8Sa`jKZ%#p_|
z{y*MYdvd!fe4R$!?I+?p^o1#n;M|WihZo_ve>QFU@Z8;Pnyc`C;u*!Z@H6!Rc4~|l
zf4|o4eGX2@XOSS|&z1B=-ul8Wkps(H;J@l7N#1aa&>t!?zFoZ2o$)%{5K_~|4S)Ka
z(sd2~X*tx*3okF1tKNdY@!pEogh!bS7|7ofU^Tp{4qs|iO1upF_`c;ff%%t=MK8bx
z$?+`4u-!hjYCBk|a{U3Bf03J@qh}4jrKrDW3uh}Sj-G*a`?rgGz;WYpo(6FC$)Vks
zVReT6bXssz-@XbmA7p7_TM9W}zb}3*A@fD-gEopN!VziVj%0q!<9z>VNqGF=_+>Ib
z=7>V51^In?KLp4>hpnGk?j^s^uZP2`mGIpG+hip;YjI0|Gc3f$BrXqExq5$Yg&(&u
zr>nqMdDsd+z?>2NPRC%Q&cJdqA4s$7<3|nn@iNafGG8dIC^P3Id~P=C)(Gq!lEtYD
zo5hOgO~5stcAvH3k(Mm8DfsA+t-djQVN7}VEbR1+f4d?4*7Bv;9DHkd#~lm!=WolU
z6*!Bw&%_KaZkuK&^QC44+6q13&bYW?26&UZzbE-UB5xjDCG)RL&O5b)!_R_e8aQB=
z5%%~nc<@dsrcI!~J8xwo6J~wo_)ri|(MWro4l|FRe6tTOn)0KqgpD*9W2IofvTg0p
z;P~6rC1gIDj_|BN2fQfI=0)bKP4eEHc?VDUkH(YvZ7%l4N|UgI#^bZv@blntrg7No
z)n`8g_;Xf?#X8JaTcu_Ww@u3I{R=<WqqjW=hYT<Ka7f~Ld~;IN38vNZRb_`0TmqHJ
z{Jggrr}pfI#l6mNxC+}#G|vjatO=j@`oYUb0#xMT!S43o!7$_8?@e;>09P0tS<fJ|
zu=<w<>@4orPUaIn3lXV0376EaP~L^j$`XEFhHaYGS~KAA`n8ISa6@&&Tt2*A&)Yv1
zRx;>(Q3_8)_nwG`8<k#vd<I|PalM-l|F>~4`z7ppy}>pYj)?o$OXgp;HP9q?!0kG_
zGCN?ubNV*#;f00Ju8;7IrR#~y@P~|wv@dXL+Z*de_>-e~2boW*_jDqjUkd$aH23e#
z!?d-6Ry*KS;W$br%uoH|c<_xo{C7-ThRjzT=Aim_1-_GF<wWMgQbzriOozSiPu-`1
z|LkqG&xBpqXWx+cEbqd;2G~Bw`5%dIE2_784J-GB>|urr|9smu3A60_X-?L^VD@=#
z@(u1V3%tY#KRB#;WECE2<CQ1#bJOa4X_sN)>4~B}@QB^Qkl_KG|LeJ4;_x{gt~`CX
zqSf!aD%{Mb6Zi<W*q5|Z0p2$#^Yk(N(2v%T%%|?TKQ=W8d+*qETM2$(^nS+(oOb(8
zKAFEh|A6xH68uIqVwim1_{_K571;MS`#&<@`sZn$6*g%cpD68tqwrS>Y6%XQ&!71u
zS^tAC#*1YSJP|PON9IeHs#u;7hEHeziy`?eUq0-WgD=qzzdi^n-hE~%53f;8ekA!#
zYNAS~VB6Z7Eo6Rm6y@ftI`D>s=G|m|wQ6;Uu@(H_aiS@iU!Cb=8+i`4vCMKK`O(J*
zF1W+I{SFVveCj~j=MS#H-_5R6ko>$s(Hl45C(=?sgy7wojMcZ`$S6f>5jgJVwbW!-
zw{cE}%)d@KZSvtBEU`d&ik$z`D(}k*;o;jwL1e!5*p}RH#c*|ObppwsV&!Xl2`h%4
zZRLTfzWk=FgSU#TeB*~D)pi+tgkSN->>%qCG_Wp(4Z+f7Qi^1Kg3g_L1{dH@4_>%)
z!Jnp9Se9W*vGf0Jhlexw+Oi%*`<QR6i37HASWRY!ZIj|AcwxJ?J=3Ca?hSh0t*}+p
zGQR{|H>$5j=8IQ98vLpYzjb@&L*h~n#oPukWhQ$ziQoSeIdlb1eDBat;t`Q&*}UL=
z{XNv=`^C(U^d!Sua(HCP_s9R+xG@DjqGf!F{6DQ!J~M?d$JPIW$a)M}dFs1LV1>E&
z2_)aU>M6}D_^&s0E16GTYa1e02fImTbZ>#DC67F8fmht$Gm`t^?ilT88(dK8%)SAh
zlX{`s4gV{NJ4p>w&W7CVg=zWPEa>6GY=0akVGgh9n04IWg<TbC-(ZK_n<<otN9AAI
zJO@kFWVSCOZgE9gbsjEtm;bm5Uuu~y{|k$&>23Z4C#DyEUx%wQLj;##jZVI|TMps;
zb;O+c1-Cu?NW}(o(l)x1{NvMFUw6TU(ajmtFn2Qpw-8)%_wQ4ZZ_4GfdI)}UefirY
zd}HZ=<YCy!MvQ_ypAwC-SvBCdx%|>(Jq=bli<4Tg#93qYDR?R8ov;Nwvaaku3fD%4
zoIMLG8w}ng&pY~CN89aT$49kQ<ax;I{fpKK?!0aKdI*l0%fEUVzLY7qLe}>f{$Wz+
z0e__Gr0Ijxrr7xW;V1Q>E^pwEv`)8z;8qPT&lY&dd-rk}O!4P?0a;I^`EILN1k6b3
zU)}&S-nn@{4qp4p$yW}0E;KVG!wFmu_K@fMg3V3e3|L3s*{lS<T(GM&3vSuCU`NV>
z{Yj(zg|OE$PrDBsA^j?;3ZDL$*XRY0d#>(z0yl7RiaNqlduL;x!PcI^GGu+5mp#v@
zU%~3-N9eR*+ey#<H}FQ^lr5w@rK38g(E$tijeC;$<8n3|%e&!U_Q$T1@|b#|clR*t
zwl!c%0yc<@i~bBt@9CZ+<+*CIHRX5s$!nKAWd6A8V&$P3c+H|tlFT1Z3ci&)4__1;
zOX7nEY$aJ&;P~$cvv$CuP87jZGI-zbpuw~SHVnEqLkDYVCa{zF;w|gWmYZQ2#(STC
zqyADgboBri?56i|`VY+0r14-UoTyY*N$OJyN!;GT@W{`}1~R|ecY1b85<aS4FY*Sy
zxnITL5WL7Ycd!NSU*>I8fDPD89qVBJ{mLs!@G;k0?qq&-u{XD~I{b$3TMn6DT~mG}
zT@$9QRjqmjKk54sWDfVVrTrlFLmSRb&n#g#l~t-2aGZK=k{j&xQ1ehZ{Q36q+e@&+
zVxC3?Y|s`{avhGZ_~l;;AKg;)H3aVI*N!Fmi&j>z<6+Ll$i^brC)ay55zhKP-B0p^
z=tYO};IB5jm<!;<(<-bF;mXN!5mJAxuWPq$fWMf1vdn`|&`%`4hArNC`;+=^xzOe5
z5m;S5=}``xcm5{-XV@b}_I)9I;Q))rDojDENk!&+zrV0M|1T_*|C}Qq?vw4gy-613
zgG-%y23&u2^5qt|^s9s=$v<{FIfEZ|qLPY9g&#%d_w0hHbuzL^ev!B7b7@$*DY-8h
zzF+Mya|r%B!8k+mca(2?e*#XbT;7oYN3ZOr(SZGrN$yL62P^-1=)sTP^H@Z~<BSXi
z2Jq!~VVC0IMApi1JNQ?*^8+%UoZGhcl|9^cYv4J_Kj-J3=>><jJo$bLHg5Oo^?_|4
zew)7yNA1)*84Tact=St4vj!OWhr+UFM2_Bs^K<CWCcxpv3vQ%6kxa)BmjoXR*zZHy
z8*9U(G#N1Mo!^Dtu=~l8!&$HbpGB=dY#;O=PZ_*^ll#vVSal}q^i$YJP3NB{+<(fk
zwgygdrkA`3AFj7vcm=EXx~Y=(PQpgcz7F`5(GD*c*f4~dxeNBD*1vuM=69X+AB5k^
z|1Bf!CzBr^9}mNCLT#Fz-~%UP<9@<lxM<hT!S$`d&9iV(nGBsB+%11rZUttb>XNm9
zyP8kAt-&IDWlveda?-TA%!g4vyl=fm+HW!Sv!R>eV3WULX7G6R+XYVed1ZLDKAdg%
zOoSUAdNI>Z+IJc4Zp<QZs+T+UY51YD@i9@@aW;!t4>p`R@Z=z@d0tRS1FnnVnv@|{
z3o+1!9r-$&Pr_;JYd6$jzJ{`Y8t{=f=J!Z`*4Yc6%;0Z7Ti+go6Bu;1TEaU$ML&~#
zx-y2v3oy^pf9#5|^w|lKOK{UMtD`4K{Lh)6v9OcbGdB`f{ZB?P9=_`tmqg-PA=wj8
z;ru;=EhL`G8NyouXKZbmBk?ucA0q?sh&h#z5^O!)#y$jp<)zd)2_H^4(Dx5!Ulk4_
z@#ie8%#?Cy&qW?CAaMz<EA0ZX9+mzei8tQVr`-*6MAIE6=ksvP$l66XEo1{dIp1Hb
zmYOcW^iTXHY~ZWEj)h0VUTRVQ$nR}Ft#1?s9|$sGbAyB2{>a>iM}4oC1i+(D=-%BW
zellAT2v=)&DP+OFE9h>K`$HzWhcN>#mGzCi4gXh>>5~s1tBkRVg^#kPtLDND*ETql
z`;Vu^>1hdkAnq{z19-K<SnDC2Mp?~5o;ParJ6}A3FU5Tr`Tz4RZS$>CIN|fxKjis#
zeJI7T4xZPgtS8UQ#@HLuuVDG*oqaFh=D(XcI$%N7V>yj5TgTj|cW|ld#VXPsr*iPF
z8-aIRNC@kIHB5{nhu}kb2jWP39P{1&jlmRJX6HV_I@f03e1SK-{p&IWTZoh%o`!vP
zYctNk9zKTeC*UmYWwxJiZ56B1FZd|6z~=?nn`)Tp2W;owIlTl6b|(8Sz$dcSDk)H&
zeHXV<`vYG#ecVU||A^#%wgz{%(4QmaUF*$cttD7w-)k3kc*RHe1;r7#k(-gUuMO*K
z^hkbb+bEk5oTceePlLEa=El#Yy#2LFFp3JMn(afk9vLs(_m2r~C=?G<gk8T0$I-#@
zSu}CVFlWL?n$2)Rn5l#=?2^xOm*i*cl|4e%pV|4Xg^3NWl8x*o?dfsN<@=jp>Ol9;
zwr~P}&K6FXEjsOy3mkpv&_{Oo#`fD)q<!tvJ*vqE-_3s-M%veI@~#{_u>7^$I8uKJ
z7vsFS3)T+pJ{JgIDNNPnhXpfRU9ZEn`_<}%VToO<M{dKJwM`LwV5OT2Y7y|Z_6vW-
zVddaGTjStq-|tPL@Ex(eI}_k2t{B-va6q={k5u^7M+RzXm^I02`991}SL7}a$Hu>o
zC-tv~%~1@p@J)&CbW;C19wy<9%Dj?^vE0#Gc+WkGO(g&EUEP!QaOltb0V;53c?d@<
z?9WN5ehdy&%HV$s&n>4_XuubHx_@@TZL+JuCt<I=#g!h|BtP-bX;`{Kw0RijT>nv{
z4d3lF==ubg{tXj1hIuR_GD-bd$7yic0H&jxcuwlmn>TF!Xa`%m?z&0p+k)|C**5UZ
zs!{9$tR^$J)dgN3inIC$OZLfqa)hbN-a3=@sEimoPG5$_Z)z}*_6GMYy)jp~o;HGw
zv{(AI#tpB+S11`Ck@nhiZliCP;FP_3Riu4K>oH;K1Ai)t4kPWwuijj{z2I=(PjRBK
zuytO1Al!M-Qj)ZHUlyzh`@vkNp30N;#X^K`-wlDcjLtKifMuMDY_G#gp^y1BVJg~2
z)&Jn0KMOzgVCwUqH^;!OL1wFDJvHi3m%wCr(mA8q9By6<(MW{-ls0r*!jJNqtM0=*
z*?L*$VHsKe&{Wu<wzk*-rf|=j&xS9iGx=YHRk)tL%!0eM=l}D77bWV_%V0mo<LCU~
zD|0PQkKu53dGA2@-l0y-dbqkE>clPh1V{JQS~!_C!7>8=7~Hqe0iO<;*&hcN26kgi
zFY4Rs)GA4EK38|fC-`i_S=MwoL8{Gp7&gn|I+z3R;8%UI2p<vkr!I!0Ef3zDha+7?
zU0%TtX8nDY<?%knr&#U{Jn3bvstD)LYEXTL7dBJ8cn3dsjXv-NuI3e;Ylm6K1!Cu5
zf#>(GvLD6!K{w5Mk{_7aR>%QwOYI$>g$s_e{1b;qx&Lr}gZGIjOH08iE$2`ChHXy&
zoY#kGKe~I7c#YVO{YG%l)x}&A-(A`~;|Zs4o9`oWs~gL^eBk*98Ed~_P8*pk|H1J`
z{u7;oFCIMqFdlwXr>0BRe`T)ATq}mxwf0}1fJ0;2rAlEt*0p4Eyq;27Y;`cz@4goD
z|LM@aS8sqjqw_zLeAj0g`?}%$Mt`<XaAstyRWJPMsE){2`1k2F<w<y?iQ9Y-zP|6Z
z=QsH3wi$PlPrsgYW);4@RPvw?p8i-9^%wTt6<kg7OKM}>HYuQg&iLp|7d)O(p1lR0
zl>N8mBb<D8c0m}Xw<=Wr0FTMDi|&UdHinw?!rKhSnUBJ|Z|%GN9xjolS5bshm}xRe
zzKlh`;Az-!IK8tK=2TuX)q^jba9-#jpZ_9N=nQu;tqHZj^bMy!yTSo19~IugQriXU
z17JU48@Jc69hJgzAbg(j_)U_(;<|Yt2A;f9_pA<fHWc0x2j_)`Pms8wYfDEtY;k>+
zvmU;u`IY`T>{HvW{}#^tJ#qLm{QJ9TNFy9lOLg%pEOUI+oc!JuvU5g$iex<Tdc<e=
zU>;9o0PM)5MYjk~T&(%k3G0OE^!$S(6e23y;Y}xMMVPUE@V~h~Z5xzuz1$gCWrtH%
zpCvHD!&+ne`QYfCOlL%3Em@|&WWC~6oko6Pc%UU?t1xVK&yh+F&iSu(jI4jWWqf;^
z46JjH?>AZhn8(6RUJ33UK3OLR%fHw`rvNiKFApfdJ*QrbYr~V_!VlG8+h+SmWH$Yh
z-(<Z8ybw$oV*&5;<%`pUzi{W6n!$=4-wMfk&o=8vj<~>eg@XQ;aAD~HjT21iK#_0`
z-u%jC%m?n=sd(NAE{LQpK}Wb!v1ms4MOaaEU_A!*6q+>ig4uXon(x5=7IqFkaPOAV
z!%6U1dyy<z|9XX8fjR*Ws4mmJ0k@?$e93`DnW+TG`r3P6X%;<zExtTB5eJv^Z2tEG
zrtw(eOd)aeJ55#atyO->bl60LIj;@A>gY$A2mj2zd8q|vHGa%Z)(>xdL8<o<K9<Sy
z{R!+PeU+ylX6t*rSWX;M8a@iQrn0>u>zAM9<2M|EBez#}k@d?T)0;I;zzvqX*-dau
zUSrf49I)?AX*2A$^WVQ2SbR+6I$1ycd5_JT@9@~_U=&#|KL6ug**`F|<gv44z4#ru
ztCYXt#@Hq2A=vD&<mDAOm$6|ZS+9MOag1gG-mxus+fP_aoa@RzxZQMWY5{hYc2-z}
z4a<ubmSBpBlwulXlz$Q<_FKsQ3O2q>B;WI1i3i#5;Y3Nk4;|u1uB|qmfiEW7N0RS1
zPT5#x1dDSW<NF40Iag>#_8;MT>svzpKd;Q^+P3iPW@E)6n3GcDr#t-hQE*2eJYuW+
z`4Su|Y;D~RJFc?ohrvzfZ&f$L+jp|6k^NUP4IQ*<;cXt89CzR&!56l^guAz^Ge*L-
zbK2QYVdax0`6=+yC0&`va2!Wo%3ava@<3BQyxg}gUjU14-fNN#|7n>M&x4aaH%z6#
z2No^UU&3F$j2tJ|*Np;=|6afeb&Ve);g+{S2j0RD7ZdEl;JF75Lanf+Uch`HY_;gW
z&<WrAXI&EjHyYSXwZkI=>e^Rf4RiO3K6pBMAEyWWOVPNnhxi9;t~31Knzi3BJXrk8
z%@Gbfui`cc2SoL+TfwS*>WW`s<1=M%EMfmQ`=ma@X%(qwjNnF5;m%pO;-dODU3kke
z+Qy&o+9_!tbvW_hzqmzM?FjAh6Y$aYzMJ##{=2_A72rj$Hsimrb4<-WdH7#)w#F(v
zcd0-`8veQXA2-<_YOnj1Ka#M;eP?D$*s$9=L>P{EY%s(C2YnJgwFmB6psJ^VZN;fw
zIpCcZUt%}H-xZn<vcr@s6`@RUrpVJq^8CBIHQtcyZzZDY9mNR$l65+{1@?P#emf=n
zkx_|@3ufpQn)rw3XVDY34P?KpzpvRn7vPlM#|30Rt`Cyo48P&g?4VS#Usp}4Ptp|p
zeM!TW?B~TgCSg4R3xrSTk^R2To!Ao81K*O&6A*`Y{nw!01qaSw*(wU(2rKJvh4pkL
z$H;zT79)0<&G6{GzrAFCF*9Q$sajaD=t-^|tnrLywFcG+2)HW?k3O2e{S;<Y6?Y>0
zrOj|>=$FCWDNE*LzcrqO*e?&^{K8XfWPdlws1c7`_<%6$Pfgf7w3FsOtatfojXvzk
z=J7TKj=bVsO7@GBh_JVaBl#X&K_;-BAe~Swy!&6jyD|J~`${<)MoNZ{-H)Gzch$xR
z+=OZB4;=dc{&z=jZ@LCI?0-XRhj{*!KrboJq#JH5k^KNACOGXq;1k?giI?GUTg4?e
zxU|Ro_C=U!_~0#jn6dt=i5EOj+;G|sR-sGPx(ffuuli&T%jfOj4S<(JPUM@yI+uGk
z`N3I~iih>!Y1#Kh;V}E4R?8`P=iZ?7Fu1Hs)l?O3)mn6mfp>H@2^@#V>vGTCfsM3l
zAIrgOQ8y{c{)wrVs*WFmjrSe+lLEiDfBHcbj*q7KuMocWGSgNVKBoIHv;Z!Uy#Hq>
zT&#ORuoCWi;UCHizm(a+`5dMw^xeu1TXr^-H^EgdS~;8H@geKHMtGt}^AJ5;#maD^
z8&+-G)I<fh9Zx^}0lxHjv+)Y*3lDe9Fp&KquPM6hSb~RpgID`trCisNpKv%U%iT#>
zbevb|J8b(aGh!V6(Y&Lb)IVf(zL=5yCp&#FCw+pCm$_?C!-At%_V&Rue<r3^;T}hp
ziVtw*HTRKaSXh%oy%kQd&Ml_IewM5JXIYxzY<J0wb;Lh~*k-(fT`MCLHzOWuJS|xb
zTmEK|BKu!nJTzDP1lBb^Ot}?Smy)_&3deE0m}7+-Vh?lY!|swJb=>f-<SU<Z;Ei6^
z<y^3^um9yVc;sY2$WE9w;;CE;+{LkebvvB%v!>-gI4zY!O$g@RFds|mYxBS3Wd-3Q
zzy1n@!BygU^!s524$1E~V6TlrE5h)1KRI7g|5IL<YL<k9iky!7!Ok`%RpRiAc#jY6
zu-wLHw`Jg|_KbU%;GRWE|ATOWT%m{~{MblZ>nQ9R*fVz?u5T_<I6^+}JQ{2Xmkt*&
zABT5VGiaH^iv0o<%JAG?_CbC4_yg|uC*j3l*$29?fly4X8f<u3MOq#9$PJFxhL?No
z*3{q)rAybf;Gq+jBNSk*$uV66SonFgfjoTC+eAeVPRdXHdI0V{ugqo&hYMB|O2QG>
zp3t6w0}@}$3&U$eSF`NlACKqS1YvQ$ukm*9L<W@wFDxJR($*DrImW)58{T3lV(bi0
zKHgQ%0vq^I3c17lmQwzk;r141u1oNq)5n<UVVykr2``v~PP>~1z8a9-e-%#iwzOMA
zd*LAKr985KtB#z#=nA~~V&7dq*jU`_#VpKPndTS*H?R1I{)Dsc)0kg}4KLl<IsxB$
z7P1@zuZYHEe};$a$G+czBX&MGH~=@q+^<Z8TUpZolJ?E$?)AcWcsTS)<a?N>;E6BU
zPj)J((C{rx`<mqf*>Bd@^VJw>FWsf6mCu6D1UxMw?J0u?eBv3f%Y4hxO89!JTiYX;
zOStH5IegHesiqi~;H|ePf;)wrBA>$a>Lt4$!gk)Tu9d;}Uo@6y!Y)57w5wtL`C|Wc
zc;d}tC9?mm<M&49B$!QRbf_8r78sRE+JhyslI=|}{alV{I6NR(m-Zg+KYe5V7VK2D
zCFU*cu5v##5Z>&Za<&_mDDpiO0H^s)>3)FK1mcIT!2DK!etd?Px2d>Zg6EUuM?b-w
z8_xc9fCt*DN+w~ByONFP;p#}L%yGD6<0(T+_=EQ!g$0;eck-(VyzSf}NwWX%14Y^^
zy08v+{`xAs{^zZ{4qSSBYIYgsvHRYp1_xZLi(<rn!b%I5&5yxWoc{vpVY|;U(}&?T
zeOn!}|M0<@(`7R729GplX1G`6q6%q$tJtq^-U=79?%ya1hisOmVuPD0wNeD(i#{`H
z0`SI#3Xz?#sRn<{PFTYFV-+X7e)^551RNc4M3W89KDoF<46b#z{Ky2;f4@_G6gKL4
z<U|MiGF28If#VN%ulz-SLE1?bO-<PS!?xSY@b5d0N7dnm$BNvu@Q~wJ{~35C_-g(%
zEZ9%mW(1p$q#phX4`{nPoQJ6=U%wfFg~p>yZDF66KhN~S#fviw?r`op(_|;i`iy4k
z5-g#A(5nT0JLIDu2EV#r|E?aUw+mCf3DY?JvaEuA2Af6`;3smEGf&~=@Qx30@RlHs
zfMQtnKIO#+aAX(-a{<ifNp~)jd|pc;H3L2&wD(^rY#Fg}e=2-aXz#BQ_;<_E>Nq&=
z(vgUlu+s63n$fWC-9rH{;KjcRA8*2EIFC$r!2vr=C4*pZ2C;!oc>VO9S}*wC>kX{G
z;oG_0!)~zf&N=E|aID5AH+xv|-Gd`!|MH;3Z4s8RM|7YlGt66P$ZG^g7$&?U`@fHO
zCPk^i#a37w7dBV_xLpB0{Mo6|0k&B_O?3c%zQF(NJbZ32F?Jv9HBuNx_PeJL$d~7X
zyHa(1|AQS|=G)le1pnYub@1|Rz*Tx!eSE9pD|jiZoo=1<Kea#b7d1e8d~ep+2<$!1
z=q3WUZ=<@}3vU-<W(k8`e*I{uhWQ_AQr(1iikKLZ{xd9_RA6F=@-1gpf%FgBhF-X5
z49AXMdG7`{&`$OqHbVcbqw-<WpUdE6J8=Xac%Ggo1HZavqT>T6Obd7KhS?i`Tl&F^
z6M-sXuzO!y>^->rpp7Ys%LHG^OodmP%bQ7maNh-mo@%&G$#6svUJF<ltAXFUW@(dn
zqC~w`51iFnoF)XHJaN;!53Y$=W+un8_vpEW2{=O}A!#3+y(&ic4Hoemrau5T(K4nl
z!*h;~vE+DIU4~0m;Q{p$N^<<#x1XtRFh>8#jlB_4uyazp2{Zh9-g#9HzTe_H#|xhh
z`VdO`tD^!9sCU4F*VyM3;P}@fsba8-sna!*Z!XAFBmr|x=KUc3&6@*e)s$cpmKiUS
zUlKfJbPPT(COoMIhl_Xb(tyjYRf<S|wNXIl0WH{v@fz<b*dgsDg#lcn7e7k+t8ETp
zqjp$4^xbKFVvp1UJ9vxX%mC@1E*mayafID1O)JjA>Sno#m*DGD)&Umq;=77mclb|L
z!VKx3E__+&;R}B^Pkv1Lr_=o!Li}N>$~Jz|KYe-hxo#*te6eMm^iMyY=(fHIC!Sd|
zB>mILuUf_Kz(%|0xi7*N8mv11!4lDi%cOsqX<;MpJy_oJWK96vF<~u#AI_uBPPqds
zpSNbrg%@aIts~)I4Olr7j`ddFUIO3yAjkO(9!VAYQb_U}y&P)c<kP=5k?WhPKK5WU
zERgc<Ll=CYCT-s&oE!JiNFVo$gQT9tCs>nVQ>-Bzz%!mk;)0*TwLRg1J-0hZ{Fi=B
zm^U1$D$X_q*ZIq;-Ge*7)vJ!eRkKb(<oOeK^xpX~SbbOSS@QfUJG>`(2wu70d-oA+
z;j>;r@;{8SdDp^fZ?8}H!w2n;m67LT$Eq3gFl=5C5ZeV`%<fU_fiIkR__hb`t$k!Q
z08i#mJe+{J>jeJmgo~6|C#GOVsS6E#u<{`nX=;=Q`NCZb?XYV{yc;bX@lt4SFMRCs
zkLvBPO>v;<d$@;%bBUBckxF*HAK-H}x;>KctI(%Kt#I;rFBWOoI)`PX1NLZrZ+Qy7
z{n?161!nV_PbTGOxRA2cJD65a+{+67`rP04HGG_2|H(PH_?ts0$*-7=h;fI7KBPRW
zgX2ny+emr;`1h?ok{@3%S#SeBC|Snz5~jbzFiz?ZfeINS^>BjUv4&)Lt+U>u3QpIw
zTE7QR4IIAk0=|>rf8hb#C}^Bs4m({=%Fls?WRBHV!1rT6+<XQP_ZZEU!i=8NbrtYL
z&oTC=@IdaKj276jO<S!P?u=6yY=hY=kJvwkHG8}(hu~ARipd3VYirc}2ps=ue<jKP
z$=CAX7koKr&vXvF#51&M4nD2H!Tb<z3*efeMt$>@5`$tEY#b`QmkyR#Ts%vz_wglL
zI!<`U@zEG^Kg`m5C~t!U@1M!cfPc}&KH`TX(&f97;ZlLL@4Mi;X8Yz-;k^$Bnx$ce
z$FzGAV4L?}X=LD%Eq*dd@ZcG057J*P!mH;P4L5`_l_<lHKOVgu2TSZZ8A<x9-Q_n_
zN5BzQr`{OAwo{9PB)@f2c#a)xa=&_07@T}MYSbQnbhtn~5-#1`_R<S(P&sc+o)6O|
zZ&!R^-!_BmB>#)>hW>E){(gqCAozwK6MGaKIvdas47cP92PeQc=|mUE^M{F1s3r-v
zjNQf=2n+qNP05FK*J@6B!A*u|dmqB?R|*~d;18N<<<&4+Dfc|!o~ndjHE_XQnQD^X
zQ`i0OJ$$mbb><>`@JJhDC+u<V*uTp#EzPvo0NlE-L);nub8F<uAiOdD#c4NKE_+Ap
z49xoY_;q_YK#JupY3~LyN@kJ#wzIkqDbQZt?OWVs1KZ9kjg$6s^~;oblK=8RPy-wM
zEtF-C75t#%!unSD!83}JwlFJy$&e7N(dpuC4j*s2%SGDvF{8Z&=is!A6}w}w=P#K-
zQ+Ql+EL{cW{jmS9C9K;bc+C*jIus&i43GLTR~o|%bUr#}@Rg0Hk{sa6FWv;|!zY>!
zd~kv*D~>)kfhn%X?hJt$?E=5(!e5oV%x=K*Y}a;^@1yLS<IIE0^&T7P!OaQ%dIj*b
z`H@>^;13GY>GiPuopTkZ;R4ES9~<H7Ro_(-uitkkaRO$o{ck_{``2dNJE!0`S(|8F
z;El)Ht{S6%EV)7811XPa$_I`Z!gP0>gaY7~{VMj?VCvk+d2)SaUeeg_4_}YAkd1;%
zM`9<_U@652dUE}%Cq);L{!kg;*N0Q!^D8wg<uHTQUxo+po%iK0pTOdUb=%1O>Sa_f
zRt<loU7aj~*_6uXD&Thlu}tLt7oTeDApPkJy6^kR^F;ak^Mp6>)e(<X^88_b+U7y}
z)49GrZE1wV+aDk9g%8x9_)DIr&1=m!e!+`>W7^2`Hs?UT<`39S#AB!%9{yWgxd5*X
zyeuT;2akH#HPT;BR~7w^lplp&F&4Dwzot?eO(o@#!l0c1H7p+U>g5b<gaLZ&@V)O_
z@65wu`Lc~HaBt6s^hNl@j>FR2@M`usw{_UPgld@+?xr-0p+1B5(;<r9z3{o5r&b$a
z&XM|iLhuI8ic8F}%&%8W;;@PYhw@hVd*QYB`{BKbdu+DBd!4Qp9VPKwQ<TE6mf+Vz
zhhgQBRaO!BWY=J}GHhdH@mUIPdmG`T2urMZ%t^x=7()6_z~9Dt>*V2%t>S5_a8%Eq
z4+^l(fFQFrJb1_?OAXdtYw6I0O+9?ePQuKZFO>{n8THZN)38R66|EjDs3DbO0LNCS
zemMs#{YklE4u7H_&9#Cnp0(bvgdJu(I2>WK9vP$a@Pxj@$MbOGxU;<joYiEk;RZMC
zRHgHRtsAd?aDoSigE)O)o+g`P?y%&_kMSVb=-f2jC0K=4aw!;={n2~H8>WxH-xLmK
zq?*Zj!aOtMeUWhP6V?1{upncjXDYl~Q&Gwnp4+rF>^{u-Qz#=C7P}X6CKuk<n_?FP
zGyUjy%!iNA26u(QT~w6}6)@u_Yl~3Wotlfg3Z89NX^Vup_AWkefg5;O3`xF!k3~xx
ze9i86eGJ^oB=0x~pQ0$zBKb7-4}FH=w%+inc=%_*t!+Qxq$+6@l0R8SA@U3E-^ubM
z8Sd<ITUmseN-RAS;W?3+4J)vE+Trp0aH4%%0iy}VAI-hKa1Rc5(W~A7@4t9|C=0fF
zCSk?{vu@%!PxALWy>#J&Gq`5Ea^X!4DH}xLE9<5fB>#z^G@m$}l_=Ks5Vq6Fnmz>U
z<eEq4!)kvO|H;DVo5j{k;jP*`QcuDP{QftK;J*BZVh#9nyVgQE%xbim?;M;mka4U8
zHhlF;%oaA|xlsBHJ|s_*>I)awr~G{c&zIE}`@`Pxb}kjLTR_68NH~wt?N1rZmTi9a
z4m{v+(B=hvDm3wJ4$RB9tK=zcU+FlK2g@*z^Sy-4U&{tOhnb`svMXWBe75LH_)2LA
zdp*oqKPuJ&@8;J{sex$?8kO4MZjsF!n&5Jgh2k%;kx7QpD|l<`*sC%4)gQCQH!#yr
zjp!M;$X_h%HQf7AG4m(fk~y*X4z_X6xwHruD3({X!5KyA!OQTaA1?d4;qjge0*t2U
zpRigfZHM_@UXtDbd!>}@?1uy96+UpocE%!kUGSrDjWJ%>e&;a95Ime!S|$inbH@)1
z!2jK>do2V%a8XnL0?V?AB#6OcK1&-%VRsefJPG)`QJ(J<9De+vr!3s#X{a~>>({*w
zlY{eysEdEXz0y)9$KVy#!b>x-B&EKy3Ve>r<kLLNH}O(V3%;wlmNf@6Q;utC!!ZrH
ztZT5DsR6GMoXxM+vkWJ36e*d)y@kn7n2w=8_4v*$=U@?jDNhENdt6Vz7PdVwFt!Cw
zxzRN1498Tt=5K;K^$&Agghjn8Z|s1D-#i}kgd@35YVg6VbF+)y@Xz|`=eyx&11?QL
z@OIBDe!E}`{nGwmn5vNLy9lgaESet<|GS)0EDW3Nt$%w59=I|RE(dQmR!L2Sm-H=k
zWZ@fU;!Bd@U;KYxVDSqjuNBT~8E`w>)gT4<mHLI4ELh%|{g)d2-SW59L-@<ZTTfJA
z{~HfOOW=y<wb6#~IX7v;XRvFxxPd<W>_nn{1>DuxQfCIYX7S6^!YT^~ZkWIihUUx~
zVVaBQZJc0d=3tSx@a1RCLJsiCh2KZt!wpK-@fYE*EWymZ@Z`OhXD+}_wTnCY;d{k~
zO;_Q|y<tB;k<as$-1dN{UtVJ$gG)d5+K0k-^Etjw!|v81BEfLt=fs5{@XE%T<Z#$j
zQR4LiY@f5yA`Jd1r}%vZR!9(&y9?_$4^~o{VZ9kO&%cTAZ&9bWG;r5#I+t|Vyn`Wi
zBix{^A)W?vf4*0;2{z;HOU;49mX2KGfT!j-tRKLGSr;B~!>xP770QVt**pZ`y&Mjd
zPhj7@Pi_dpPJX}Ls$h>$6QljGd4SM?3RvyJKL;`RvujC4Eqp*BNA?ix5<G1C5<YU}
zw5BX9y=M2J3Fdmf%&i3L?T$`pgik#(RZ@X3l-zUgfrn1&ZFh&C3(C<o!~exbY`6pu
zg;gfLg1>%$QxFJG^mXu6!@B4GB?iD_FZ4^u@#gEiqDz1?gv^%;;i8qeZAtJqjo$O*
z|FbR9xm5xm)U7BfhU4rd?v=u|G?Lq&!A>HV`rBb;ig&^!zTeP#x)Y{XQ%-scSAF#h
z{|pc9U*LNTOTD;~_7#5e?|eihe2aqS!ZiFfQcmYNtha|M=m%Usng4<uzraw;=>^z3
z+$*pKKBgCMvjm@U8~^bd?k_8+VlYSl_Vg8xI=H&8b}JJsYCih81@;Wp8)Jc;4`pV*
zfnO}zEV01~;v3mJ;31BMCLVZ+_f5|`Sn<a0A3NZXoTMis@E)(~7kl8c0`03qu-27<
zc4655Ncq<>II910x+J_&|9tKjSY&s?lLK(EOY7EYSb{MGw-4^0DT*(j;BLXnE^|0E
z(Mop;RxUsFz!u)lwZt|7OV!X0JHgsIEN3Z>V?O^zhfOvx<!iqbD)`H%Y<@d<Ys3K4
z2H5qt#dSkiGCMbPGfed-A>J6i@SW}tCrlHev~U7`r1bg%FFa7`!KeXq((f4(girTx
zc9MggllqK>Vf}-O{_^m`u-t1&xHsTNku+@gB8plX_H`(GbqJ=pIeSSSHnLgxB?d2E
zK31XtCk_bEkn>USGMn!N+^TZdmLI0BKboWovrg4|?t(ww$)q!Y&!1V$CFfr*cj~wi
zEO(o)iVqfC)P8IU_Y|D^z7<~Q`R}I{T+Erw!VUjBVcB*Gp1So)nH9G7OlR~Ut{*dC
zhduS_y!>F(ar)4Wutv0Mc>vs7ERwVd_Wt>B*G<^>`pGwRaLwUKt1#HL&*>w%o+x>B
z-p9ZS7S}gW!e#EaHpanON?F^f;m!R&eNtezn#O=RT#t93oS9FDL*I?Y%)@-iwKn;%
zZ_{+`4E&R4HvJ(yXG`Dx6TTB-y15Ld+ssTm3D>dT)OrdJ92VmG24AI^t*n8!Q0?{_
zfIn+09ju2hm>dotgkL^;nAHlqPHpFDghja-%sOGmjUr-A@L}q!%>!`Z@sXKac%7l<
z#TWQU#|T9Me9%RF|1^B2QRUZl_-n^Oi$(aP`6231Sf=n{>pE<~_VwHq_)SinDvb)B
zmp$!QJmCYB8_PDrc5D~B?ctz96QV4zHPx9(M|gdURmwK_OylGUQ}|DyD93hK;Zv)r
zIeh(NZio<Ev>JKa0DhVmR=XDt%yLULf~{`QNJzp*v?tcoV1CV-{Dbfyf5T>Vcpy)X
zO99?h>aC~@+orP`D!~~nhI+?gxu84sC*d|-+UrM1eyA;lCcIN|B<?8OHZ^)dAKoW%
zyWt@0v-;$rA*@?)u2%-W^;weJ5<Z~CKraEGprkamg7@f;Y?FfBoUb)Hz=PS>)c3)M
z5;duu;pD@H=Hz*QEu`h5JIs6ZS2!sTv|s#JbOpX^(U2wtmy5FT2EgMirth}HVeb8B
z0%3ud`$u=eEcPZ%x8RfaG?iH3*Sv#Dk?@@RHhnhOB-)}R9?tF-eoPH>2X^kg3m5nQ
zZlHy0+zk^m;jveLc9HV&a%%OKTv+bc^FvGU9v0<mC9s3ou0~S+URO{)_!N%aGt&DR
z788GyRRasyQ#V$@8Wdff%`mV1quv*Ak^NcaPIzropIr`IN=d)i2Vdy(^U8yl#^UTo
zVaD}abTP!VygZX|Tg>il|G`}Lg<-$o@tG!1QXjIpc%Nz>c6fO9b|~zxD|zWJ%oI5{
zc?I4S$MKC)74^w0H&#h~YxjKq87A0raD%A>Jb5vwV-qa&Gug!nUeM)G;)I=D)mQZ3
zjmrx2eDG%V_Zto2FGf8!LNNWy=;nj4d8wG8I9yD*VNeEcy474S1K(p$PvU|veHbrO
zBKb9&9+LX7wP5Hjby)g>r~NAG(=RRU+4bN(0R!HDVF6*rU{lySaIKfr&o89eu3EyT
zm8RcF{rvGHy^}qBjsJ>gAG{E9b^8VQ=C0PT0eD!GH}Wcc=1JT0PPju&uGtITrOe;j
z1$RY%k_m!mKX3{+!X_oGk3!+FaQh=ou$*`0_9*yzl)2MOxFO}8X*B$<qrk5gZkoE<
zoCNO;z5B2NuGw~r_8!b{F!7=a9+{Hx$bu(CD|rfG<;&{Rxp1ful~^&XR5xe(2>z}$
zW=`5a1>CC%kKsKXB5tJp(=wAyTLq8gGNz@&(Ru~SFW|Cg+K)2f4|#@<8sTROdq(cU
zi`$H+o8TP-PO~Yn$sCngJM74!urr?IU!+XzgwM(bN+rUkZ;NO@!ryjiTa)&fuyMZf
z5XtY1a*rYThm0PL!4gi!nPKokoA&esER~l~77jOxubKWL@n0rig5iUmvkAZ9l8VIn
zP*~*oecDy{Q>md~06cy^R{1a7OBZ`65T<NbdPJ*+-@in|&I_gumzbu9)9!?N`oJeV
zM@+ZC0+X^im*FUdwggsqRsZsH4|t`>mzD?4FyA@h0tW@zDf7W^WMem6f;ndzwu`|h
z@5snG!m-VTrV?<>x|^0W+}LQ|EDP_V+u~~j`xGnF9)VjaPej_m-J-wUkHe17N2@GI
zzCc%rDzPHxyR)$R?$GVp@aCMtHDmaKkge%y*!(#Mzd3y3`D+<#xWFY##{kx;%W}7Y
z$1ZO2I0Ij`r_=R--&~H(JPq6Wj7D6AsXd#@^k6Ht|5gLw4|~<VkoLH@l(S3_d?tN-
zn=b6f9T<EU7CmZmQXSr_X#6q-X5nmdIR&5DUYSw^t58bbQ-wz~@AQ?x7dZzyG~sKM
zS%S^5!?X;A3LGQtY1Imw4CcF%<4LMYT>1+i@R+?v`UgC|xk^)<Kzm=ivQrzLtMUol
z21^h7Jurg%5;9ac;p|P8>g0Ua-^|`?1NZDb%0qsSKT$8It>B8rvwEKJEY?BufzJeA
z4RnL|oJ#ZXgY7)&TS(luL{>ZvUa8u&MB)cB_?^>XNt!`k^82&Rxt=VAMdJrF$nT#&
zV-WHLcBxXbxByF8tp2Wo8&64ASi*VUFP&b&CsSfutzaWZ`~ElZjwk#hk}xNinNknD
zEA8U!0hrI1p=21Q3~TGz2oGMa?Vo}_L_{?(!T)w_b{>U~@$S%`Lw}A)F4y)+_~)US
zBeQVk*K;K!aD7sf;}kqNME{-StI*sto`A)(Py6-5cN$JV>4opKM$8StU%u?m=!O|~
zehBG?U0S2gJcYHzx!lR|eA|)j^c+rq+dVoC3soI|od?V1e?IdamX<N>D}ckAGMeV#
zv1<j^|G`XN+&(L?sA!f>4E)^Y%!c1EtIBMjH{6<C@L~yeWmtIa3GWdY)BXi7%*da%
zg6rqEP%gr}6k_Mj!CG$pZtL*DO;dMFVQJq(4=GP#eZGRe4AP%S?X|v*31)SOdQbWr
zWA2z3ZiF}8@f$UQi#G3SV26WN_ixsLhopSgIbg58B^5)MzN1G|0=_MpdifO0zP$gY
z6l{0oVxB%Mrhe;#Cj8rrp+^(uxH_~+8_tvXAWr_i=Ec{tUhw-nXDqZ~(|f!gKJd#W
z^&mYsF!!NuIP9GDx>y5l8d#5rgc<v5UTMK$xlOC_aJ<x^A1birIG0Qkyfu9{t2%s~
zIiEcrR$HTRJq$}091kyo^V<Ie9D$c9m{-c-n!~&41>r8;frr(wZpW5wLh#YuIoyqK
ztWm2w2W+U$7t;)HzA<ji4j23B2-Lz~S9Cc^|Mk@nrp+y|VvZl}9K2miHl4)pz3-_c
z{pVHMk0MBXY+*}2c|X}v(9c%~N9L6lkoV;@O7skq@E@~1$>e>yfaQ+l5%_Dvo1F(>
zCCVW6ad<geW3wbY@F;#@2o^JEZ(xDL&fjb#@z)QsG4c`R*~3JmVYq*vrTs6A7r1Py
zraS@D|N3Y619p(s>m>0R$sDHl@Y3LmY7(z=H(G9kHMAN}k?;5IX$~xhvq~KQj==(w
zH{71UZI4`|$oJbi{$3#CBN(&3AN>k{9;_TohB*&SzxxO~ygGW9jIU@nD1J`jWskOo
zdBJ!53)BZ;^>?mYtYPDd_e-B)pI+T{OIXC?P1pcT-<Emf1pHi~Np=(#_z`<W6)q01
zZtjD(RSvF+!b@M{yvXqi&i8#6A)jx!!PpD`PU3NAhlLAepOfRAo!)hh6@I|CN4*=i
zvT@^>!*~%hv3^N%J{+ZQ($2z+hwAG{yuGeGq910l=e<OZcc8G}w-=V8q^9bEe^;<r
zJc6@^j|-CTR|-9;RSa)p+g;uRvnZX(NrT%i^9z&nq4z2=J_TMqNKx4d_h9?DIQY)B
z#X0i##(sV+jfL~xc7?RThf5YV1jFKS<xB1G!GkKRf$;WA(P3|3mV{G#y<x5&-u2}A
zdhe3X=?O0y>Kl;jYvkCgRx%#u<F~g*TH)>lfht2dcq+4v#4j=N@8X0Vzjxjx-=E-;
z&bk$zjJ_{IzJGYbzT9^hZ<Eb*R_YT>G1{Ea2467~s3+$)b~%i%9FCi+b0g<(<K#i+
zCvf@O>lEbw4>|MU)qk+y7WZ)yf6);2C<cBRF6K$%uHAAnKCrCy)m`NGVK$@M;|1$n
z6e}aglRD38tqgDTysJvC9~YrNrxjuIeVRSwd~Uh4Q<4kLe|P&2x&Ey}*!ekN`t658
z$@h8Ry_Ne9<BdA+*GrJ=H`V0!GYZ7}j`O6?z)w~8HFS{iNsl@fR^Y4g+qyo$U3FsT
zsns#w$ywF38m=xfW?_Qky!SiRz^ro50$E{+9{FE6aBk8|k!>(lCJ#kE?0%pB9zUG!
z<7|=)$6VgZECl~`P<6Zqb1ZrJiNUUKZq$XtiK~`Bq+sQKv(8BP-Fm&n5m?ZFXvh*S
zQ004a5?*`5`_3FzF?)Pm36^qF+;a+MJ7!X@0*5%?<kW;8Onm<zNB14i)%V8%JS#Gj
zEu-v|q7o8W2`OY2B_pdOBqSL{$}VITLMSUKGb<z&k(m)vMiMf<5`M4q`}6sDpU?f=
zaqe07-gAx|f=}&x^KK_xcX{KEBXH{r-trwVLqSX#iQhkY<RU$+vFl<oi61_hYe5H}
zr&`>l1h0%%zWfjGla&Z+JyL~(x9T<gg+CsyVbX!qWDNv<!h@mIekWjth(W1eu%G0O
zX%jebPkZnHtn#GT(i|?yIUV;Ec6_s^)dpVJ*HYIFZ`#sGYX=YQH*W8Rg^E-?FTrk?
z-mJC3m+3nTF2gK~TFm5qIA19PL2p>JpWD734p?`N@`cX_C0uQUxzc{F2f^QERvuTu
zZ+SiBL*NFhYehA%-r+x4QE;Y|3<G&TkJ9KLcPvcr_l)-i%(~<g@(|{3H*`;j85KR3
z)8JW+cY&F3vc-Q6PhoLEo4#1Mwe@>%K5YHs^W+0~%*8>w1YZ7@=Hd@q{r7zCHEg(_
z-Y*ai-Xdq+2-i<lQeA+rGn`}i2ygmucHRMQTI)`#hpC$nXOj0Je>O|_lKA@_v$03v
zbkk&}2KeiABrkdYvL))`tM~A6%Z?p;;fTc*(GEB<(eKL^SVVhp;{a@1t@VC09JQeH
zfW&*n+?MEwpL?}-!4AnP;~Qa$$#0e|aISld$`al;{T3thsU6l&xgfIu|2dO*t{IkK
zi97QP?$Ire{{Y_(bvyAB{+qUa2igCo;F)&vzHEQ1T^mUsCeZt)4c01ewyJ}F%Vx7O
z!wPBPUCZ#tv@uFXSTdx?ZWeZ~D5W33`|@0Q$;E3h>lNmIUtkUSVU0yt!>Q|81>Cfq
zRd^k~o1yry3~o7U@PfqECU_Te;M90Mp%u8ZH{?eaJfjz0GzW_=DaD1rX*niQB<}23
zaXT1ZS&7{C2lhDO&ENueKP+z~``6e{xq1=47Cd7@_HV#uN`id9!L;{S1W8|^=EG|P
zt7Z8K{Df;Y>@>|`m-C&*zhLnzf91&cA_wg0evHB*vp;Oe_atj_r})QU23LP$J=nbQ
zZr&iQc=dGNVYnwzfbSb@nfvdN5?oe(JogLveS7C3`CewQwUzfP>|f<SPQJG>2>ADu
zTu%y`Q!0G0K=(zSKKNc1<6d4^iuXYdxt@QRNAHmDfwBu1xVqsI`&1wDJ&|b;e>S=P
z{4-ZS|A+69{4AU}Kf{~X6&n`efx5^i<a$2NX5}A)OTRR;x59PKUzxwdE$zQDNd7)t
zm2{7Mza=&$szdVcsT7Y}<ohiupCeyL{us!!VhMtaI$7TJz<=c&`N{WZ4m`{9!!RxF
zW)Dx;yzI@B?{HbcmYd#i;kA6uX;^|!bNC?aG^_TJTz{kVv!CVRUuODemSDbR(?A~b
z`)N7(4LW#!MCpHp3s##`X(I9Em8JKza0GXf>_3>IQlg3mew3fqK(428PYMV5e$R<x
za_@ie>l3}S^KhQhblq>5N3`ly2YjyX*h3O$5unX!hjnislbV5bx+Hd0zz$m9Kau=c
z_0w0N4E~Zae2(nDzQp2x(Qta1yer9HabjnGM#4&^dnic$`ZUCnNWRycpsN2u;=NY4
z!!E%=DX*MJe5^5$#S~8UC}Sf3A7;Ce(impR$$m)o@9K#0sUz^~pu_a@aKM3)W9o3l
zv0aHIfAaQ9r|*MD9iDF_`y2eNAyx(ss7;C^`BA#kxt4tI`p~ia!vtKzNmncm`{~tK
zkn2-(;rUlV*pYte9?74VI1Sp#_p`~qgF+;~eHdF=<$z6&Z9YZHpXia)88*1%*y1=T
ze+;FM^D)BKyMzTv{*&}sVy1@`%V`Tp{yWIG5>3AMeqHHq&<Q8re1403-~DRDXqc2Y
zJe`L7$oI+vB{^jzu2;<?M!t8x<`b+<@*6|KrkoNutu)~$$-liReMv9jNOpH0QeFx<
z3;)T4*JPc>Nd8rnT>G95cZjHZzJ;I1KW0sag<56v-ob9kwo4D-3caBZrEsb7%M;}L
z{J@bic~ZV-P^PK|!;RiyO~vq@F)imCaI=Nm+AElHRQ??K-ajrtJt800KJqP;%m)zU
zDN<huuSWOWaD&@-%o}FI!M3}*tl<T%?CM<jy#20s=U~GK54{Zd+PQ#j2C(EbR|QFb
zizkFl4^C?w(Mg5n*qDxx`Ryi0xZV`N%7Ie<pHI%osqbVK{N$-~<VM8rwC$~W1`oEz
z1(Nv`b*BCtPlv50+-S&rX$;r9rgLEFo!S3Q!o_=HZjkzr+f7r1%!igPxvQ9@&!P(8
zBJ-tDT^v_Wg3mp!x<uxWJQzz~kOE_r)4CO2ajaK<0N*WCE~|zoKX>Gi^tSnTb6>-3
zhr$%@!<$}N?Rf%o>r;P8fUkWj6Uu-s4N4uO;S21u-ei6bPt%7Tr2bwTHE_NMt4y7+
z4TpCagw&JyKDhP?wUYGtN6$RF0S_|xPy3Vf7yosU`9sQDhJ|m!iydEIyTOj171iBf
z?!lWAWPVT1f(Kq#;IkzjpX}h*Uw=KYfsHc+{+)%@JJdg(hr?#my3AmQXUf-g;kOco
zlw|&sn5yvSCt$xXv;8`-^yPqavhZK?XLRZ?>*IH^a&S`Xp?_q4v~(>@uMOX7SrS)(
zi^89umVvJ-iL=PU-8YuJx4{RujU6QOvyAlbFA#$Lwg&Ac^QC!-cPaD2l|GuMh2dB6
z%vbney~c^-+hGmYd@6RBAtTqD2QFP0mgj`Wl#HFZU_}f6CMGz9p}(FMo{jI_y9H)3
z4=<&G_3wMsZGw4EvTY{w(<rmP-o*@Sntr4r^QU>Gm{iihtCCx8_rr=O)65y+gStJ}
zzQCH-<bG1Y6b)wW&G6}1Lt{F4I7z&*3AQj88(l|x{GM_aKbfB=KX3K~HRA6R+jdmI
z-QO*%$@ZRpR10_p7hSN}!3t*_aR?{#{p{QJA%O?JnZ#R`2}`>+v}}c6#40yr!GE%3
z4~xL2$v<aOV3Q5Iu8{WmOK#@XG}yc>d2~0-_vxiXA}qiY#Y4`2MoZWJWcZ>H#a#t>
z?<<}#GXK}yp20s#u+Ash_z3vkn7*wh{P+pQRx;mKd>{qYaX8L{L!8Xl^|0`&yD{u|
z_+%%U-|F1eUd^+_7N>{Fd`oZHPnOuhQWO^=55Wd;-gjN#l?(Ps$}mIb!e38#{pT@l
zLAY~x_#?^BXEP2NZzn!yrF;k0N$1ODg>~v`v&j9Bah0x=4Gwv&#vKQ{&ZVE9$9&E5
z8+#@n!K+(txh}$)t`_E`d>D;9-1GykGK;P!<pYnBUF9fjyG(CH?sq-|znYhDG1HMq
zQhurFR~Em3Im}B1{$GB*@jK`Y{}jHySb_K*Q4viSI5>sXp49(Wqcf8&;V`|b)+V@|
z=}5K}eE6ubN*gRgU%F-h^9jyplkz<y^(4I!{QX`S4{0Ci^aaW4!uuGzj}O61a{{Vl
zzHnK}%T?pB)S&J~P55+R$=oE&>^bVG1t<R1w;}cW-={s9WWMu%6$76r(LOjbYL>_X
zuUt|(_ZRU4;hqh&@Vv?S7}7qN<5(@Dfg|JJ2+za)O8nnfF~55L{U4^Jey8Tl?p=Xr
zZPdqp!Bds*sOMoNH><6re)SnWwLA-NYpZ-p>euu1z9N(G!@17E3D|Wghv^3_VRC1+
z2acU;lOKe)L?_Gi!5fn<Ns;;DD`V$tNc&AeEZ&UFCqMX&a-jom@4k6}%r~zhN0Uy@
z_m#qzR%AYU;Y`MEQa}A|XF65~d)+TyAoWRqw8qtP_&e{b9i)D+{ITdn=DT0Fr7L>^
zpB32?N9MyXTBrU+u4l7hs$VYLsqlm$9%l6#cuMBi7o1K$oCwdJOip<WOAY>PiH6TD
zerZmG-((I@#=w@_QmW(O`yxB<g~BUpUniqruXV0Ql0P{sv%f~bTuipcLGZ|#NqVv#
zfbPn%JGWsrv9k4BaM6P}Za<jo=s!uao`7<Kw{8G@>g*>$vfjYe`no<Z*ztCJnhne&
zY2ZoHZ>;o+vx56(;x>}|r^tO}$^g~~l)dBwzrM`=pCMe8KRZb3gT%|HS47}S_bVLa
zc!Vd<Z4`%(QyvH=_0gH&jW1~7jrCJTkKu3~imFYpW9{>Xr?7jUD*Ioo=P+o!w2PeI
z>QXtufADzU>xU)q!72ltc{sStysZrWy;akA5q?rEq(=Hj)2YtSe!yvWjB*;`Emu#}
zPQqpDqj$UE9T8?zBXHu3cU3Pub5Uz)6sB}j+cN_9%N`dRfR8zLSdYRBF^W=O;g*XJ
zKTpAh%!+2+@HMAhw7+5YX>prgm~&>qa|w>;7K&(t1?K~vEyL<wObMUiFDu9R$o&#-
zNLl|LR@&I9M-7XvboaKx*B(2{aKPDu_0&!9o7@>&E;!OYALFFx|EX4V3c~LW#U8AK
zM-2{d5`uqF-#Aha-*%wCCJBGKYk9d6cJm9(+XeG~*7T`@4{)0b$iju2grB^E-DNus
z<Y3#tnTm4w)1Qm`wBQYt^*@T>!OatPI<VE=r?bWIwF57^Pr~umUVM3Q>#5xg#xM`t
z8Sw%*oMOf24E*Dd=*cWte5Y%HB|LIy+Wr}Qi<Tk!G8}1_e=i*#m-ef7gQ?e}A7;YA
z=XGU$V7Xr1ribMBv9BF`Vfwi(gK6-IP&1tfcmqcRT_XIV{H<>kY#N)zmJBOikDZQ(
z>m7`gW8kjm6hcYxHb+_QIQaHL>%DY%b*kSz0zN6D(3lDPc0Rmw56(W)mGuf<N;_11
z7v345)K>~~+~undgFhQE>ej+D8(&S_f^Xcv?Dqy9sk*Wr0>7zcw(5Wn-J+2UfW@d>
zW4ho?Mx*<0!cFH?XuiV5?_4Z>VD0P_`C)igf0u_J95JKJI|r{Z7o>Q?m2%0)=V6D&
zu&3UzrO?HyfAGuw^qsD7flK4;8q5`1Kj{Ilwb^}UIfnPQR24Wb!M_EnH*SHGhd8!f
zh7;o=J$YfPqd__jaO%Y9Q$ASC?wqj`?EmfMR#BMSx7p7cPC7)VCl0ed_KPL!ySTi5
zDlHFhqZqC}3vcIKu{j9q(N;8{gSj7m=um@wIJp+g;La5ux+Ac2^6&N2Fa^z&*Kzo{
zxu&Ec{MPY6t{(jT#NuI7SZPyV_&Hd>M8ioBj&T;QwT3O;Z1pgJ`=}OWF2E13*`{d2
z`z|S-cZNgl4?aBxmjp9+dBCkLz8&iDrX~GNUhqhy#N<)<;LD}S5crR>4Le?Hso5+l
zFAxf|u*nOm!LOScBJacOZqC{V;V>2Lx>)#ggNo51*u#N;-y^ub<MNIDu-vGrT`Fv9
z!x<wFE7fk$dJg|CQ>v1NJr61Pynrj_S>El1V`rJBD&V~<GJhoDN;h@EDmeNj<=QTo
z>nV3sBRqUTP(l<ImpS&P3BLcfT4@KoO=>Zt7q)8nY`-0T^g^ts4=%JzcN2ycy#8s8
z!kX+w$y?zBYRT(A;07iAB0-pCYuA}2`1M|selED@2}SfWJYFs`#sk0lubYBW7w@ZB
zin5aRfll4sAWIEbn$(JM!ZsCooE&hGTA4mGd|tOhn+wi-9&ElDj^6pKToBec?j1x2
zJJhxO+772H9*Lrd`-PvJm4tr;?=7c<18W+icfp1_?^-v)HJh*E^D(qH`}3C9uwGGB
zZp@RzaK&>kY6`@Ik}h&-!O#Dg?p{V*S1AO=6Rwxmc7+w#D*s%?NjP3%#rhBY$Jl$?
z2tLX5#(4oY(mrW<20oYn;K46AbJ6~uC4B0TSl%rB&WZQRWs+WGu4@9e=GvX*28Rxo
z4*!HD;%T{k;4o1Q*?yQ}ljsdU*lv+VWe|Quv*Gt`*wMJbu?y~fw@K(Od?PdHN)Ozq
z_5I#GSj?{BQV!f+-d>*qYv1LuCF@0fx1Ke802|$VAD#jqz5X>g0j8!Ez4;K%fANna
z8kWsg^1TFabCW;%2tMGQ=XMc(bV{!)7PkFomTU{tcM5Kbhrjc;L|elP$7JIp;g`x{
z-%r9iSDIGu!`FE-zUadW0exYiu%z>flq$S$%wmqD-$xNBd>Gz&*ExV3-{|e0t9#%N
zQUgCo`dyv&7p34nyPqC6;f;~6tNCFGE$u#%{!Xm%%dM~lm$4H$U;E#1?drsOVy=P(
zGUWd$tv+r44EwxzUPI28ZINQr3s~ZJ)?E@m*+*6N9R4Ntgopf}P;B$TMA*n~u8^D$
z-JwU)@vyAoufuoXkB0AWhQJ=wFEhen6|-#bVECO&-o7CC=(647C0Hn|w3%%0ub}?a
zMYuR7?-bd8#@(KW&%kQ4+Erx#shJ&R&0&kEL&wSfe_PD!BkRvK&8u>Tz(UpqZ3-}p
zymTgs?^XIJA_<QjPS|t{ereUsD*<=$1jUp5!{RpY%nch`_WvX4+x2K|$$EKHtqq}`
za6+tb$wrvNkYR?TPug`jj~cc<J$J($?i%>m^$+Xueb~?Z+yka=nEvn={_p*t!_Khu
ze>WEAV3jg@Hy1c)Pv+DNY%nyv!5+>UJ-|uU1N0o)u+I@r{}M_09k%Rl&^LqMUlZFk
z0PD@R1)hc-6ix||^#*s>7O|51E6RNK7+H^yYPw9F++WI0JJiT}g>A<Z+K<5(nBQD@
z2Zx3yQJ;WCoi|v&g^&4q-#-GMxt|nT4KKD{Z8!?^s|^OchBNgHjSj=Mlh>ZTgq2<%
z3s!~2ChF2&z+?4d913s%o7MYgu!|D!QAPN$b$)FQ%r@|+b1z)XeBx&s9Of`WD+}A_
zr4FaSd*aLENO`l;r^*lyryj^?+6|{PCs4$}s*Bf5#b7g^LpvkjXIYkaB;fI~gzaIl
z(b9hIZE*9H(y?1`MFqQ#5UlKzsu~D8C5`v+!1~gf7p}ogZg1%M;0)$`D=#>BBsPH!
zo;YG0dKsSlaN#`%%yXqK;1XQ?;m~O&I9}?)Gdq~KnJJ6~PJT9!W(zN#8sMdcPmkSx
zZvk65<>+pLcfVY(Jq;V&_3Ya~?EdWMNw_{wnTZPi7$q^H4}Uttko*_rJy%;NgEo9T
z=HthIu#d7C<x$w9Bi>>jW}~3pbr@dbH;Gt;4^%}6k@Y?`rUm(@VRNfr9#Zi27h(Q$
zuv)k8#hvgHuMx{6+*=|QCk$uDQK?SB9=>nFw!_*H?^?gXjTRz9tZ+*S@4j)Ezpt)~
z1uoGXto;fP_quPOgQMsD{tOdmaV^onxom2Ir2gaH(Y$R9>zk%_489=sU!|ry*FSjn
zW{TQp_^y4g(-gc#{(WXQ{6#6$imazvdE?IhR@kvfH|Pa?Ynx!?Al!F?`}%X(QK*Z*
z3qJIbWjO&Zlips`58n(O`~3hmZR=3!fR%6WR}X;;Ta(gzV7WE+gTZhg?eV>z;M4BZ
zC1m~LxOtOCvb|l5vw0Wcg!k0OE%3ASUP)v4lEU~n+1}~1?b{7u^MZSxA7K9r93JX0
zQ#|_@vc17U&WoyWUS_2OX%GCho-3t<=gtbuk@HcU*;z{s|Kz-3GXk${JOA?^)_+#L
zo)AOY14%=g^J_5At7V#B@P?D8j{b&AV#OS0;oYJK^k?C1Iw8HJJ+N=*!E~~|w1-ZX
z;u_q?x+V7;?BGqGhlLAN!c+YuKEUyZ1XM_Vm6OqvX@P47Z$2maIp{2NcRqZe#>qo~
zq<7bC$%St!Qc!ck$IBWUec^zumOF&W@1?d@`M_?vze{-Gq!&3hWW8?|6=@$54}ZaA
zej5JARk>*^e1Ph(;ZE3U%l6&m{``HX(Oe2HU`k4nhV_LuQ82@fT}sxZyzm{rwP`cV
zt5orslqXzkY!(~f)Skutny@TGiXmA)ea7GO4QYQo%XMx20UMb~<Mm%WkM5^?I|_%U
z=6xgOP2i(@Je_cV%WDl4IPLac*3WQYf&6DVSbW!NSOv^&Q)sIUZ<EitRR+KLCXVGj
zFy3fAmG>OJp`0u%4^O;)m`T>3=hNR(v<E(Naik>+W~~Ysk%76n5*jn%$LAI=?|?nD
zzy2oc+jkA0OWO(Ot0#>m!PXodd&v3P{C8w?4BU~Ua84ASa<ktM1s|^D^JRw_xr%p$
zz)=^j=aK8tyR6A`3$80NZ>E9EL*v!1!^_uS{w3v&QIEo2FL>#{C@#`|Tr`a`zYK31
z96d_%i=K+T;U&0xR=;ZoX3(g<ZU-AorfmEJzmE65Xbr2pz9LNWr`p}F*wb*?r`Lug
ze?~2qg`2^%kzym{em;1SyF?$Ze&w`<+@H_IDGE-&OtkH(o$y!LYKp@!>up_%FR;kd
z!sSD-$mQpeZSaQ$XI&{+bvN$}Nk1Uups^DcExdl?BOIYB!$u8@-H>-7_iv!BG6N;d
zUKqPd%7-d3joXu|xW6bm!pZ%6@ZuT2aX7X^ijUmCcQiM(_rQuzRj;GMQ~9K^v$+c%
z;7FivhA*G#;(H4x?nrVX>HXO$I2vHJ-826+z&U$Om0!b_29pxxey)_ieV_u?8B;2$
zh8_C`EnmPL{QJggVQ*=6v*+-pBS9WzaK5Q?Kn_e3>5)nL6E9b?ytClIqmBDWf5R(_
zGCc)e$arq^5_U~gOL_>`OmCRWg_nE`xPoD8+w1_6{(SU9mRqod-aN}Q_<n$%^%a=y
zUb;&GT%eb6+70I9{I&W7-gNj`*J*g4qantPQ9tcrY&C;TBNDb|!n_@&+qK~dTYjG$
z_>`{@?@`!X*lJT6Y;4tXQ4W@r|Lj20E4)!TFAL8_vM(jWt9FC?m|?e9_TRH$)@qww
zjIc*_x_b&7$RQ~*pn~}xTDYUh@w9zx;Om2FqfZECz)6=a*mGgJ%X<!y{@B?&%uG*V
z_NlYY*|4hvP0?LgXz$W(5+7oE`!odpV=9DoH1PiNywa){EcL153OPPDL%PMQaCzh^
z*4;q+X!EZ`Q#e?1PYsC|tu)>@h8bfFPmnklSCaezcq^?MLq6ORaZ6@DT*_;mK;qJt
zT!&K*<NIWO3oer1JU9M2k_Lacbm9)Fuguc7o_B)%&uX`k{@YK@z6%%OQ|qegzu|>H
z8CFX0LfuDmQh&#^ET2|{`wd$s$o)3<AV-`X{uv<tnUvo>PORIvzy}+Jtw?>&I#5|Z
zr;O{B5wvw3URT;*H3JXa_st>k$6T#eZSaeu$u=aOywSwG6^<B*oF(!4-vW8naAQ=^
zi50l>LH?81uxjJge$pOD+-SD_3B0GQ(VmnK>g|7cGvLbT;ssJZynf(bbqh8;tWZGW
zk+TA&fpFj(Ath2D`Q<Wo9fMB|?hGL9nY#`;{m0>E0qs9@u#;wG@{$t959ZgVNqekD
zzw_}jtZgM`Masu`uF&_h@Bv4;NK!shd3iMahE-`;_(}N~%e55M1fN_JrXuaXbl3U2
zjj*ELViYMaHR3603gC>JpLj`o(Up^NJr_Rim6A<<FWOz177p)flQ~D?$45JpLSaL<
zf4@lFh4ZTNMR@Gdu}l(AD|#gF1m{h$?h}D`nC|Y=fj>_1Pm;J-pk1dHd~)ooCyCp3
z=7=f4n-q0FllqOOd~%x{yz+^`iX5-xa+vlWcq@BF1ZjUt@A|AR1=k<)<|Fmz+qtV3
zMd9rG!aAh=x${b$oiNO-H`GnqpNHz~Be%k(WkEEg{1-aHaElA39a`B&%K!MFm$@vk
zqJ7c{QvR2J-4;g+)9Kv^`i|>!X1uFv{Se;ArsjMx2G3;0hW&!eeq7E^g2x7GY!=`n
zBg6g)aHABr;cqzL?cW{#u!4%5<Pu!|!s(wc?AR9mYY5JEqh#9->t6_}ABTJCyuS;;
zy92n2N8nY9TM;xcy}0DS7uaf;zLFNU*56(70dD3jOZtHEu!VmnL-laN=>B&tFnd%?
zXAN8?5j6T5&fHzMRtm?nt+3*yO%+)=`{h?~M0i?C39NM{PN)D*3ET3q3^tgW;(7*K
zNn4C(!;aM3Rny^U-M1Xi;O@KaifOR*Rj2gF@HI)g^9gX%lTV*A;FD`rmJi?v8@IE`
zB)#L#qT4Xbf6`^CaOA>dZV+6h|4EaKUxqw2S@(cdMSRmpdcJ9azwYojH}9Spxb#7#
zhXowb@b6V3oVyxz`7|tR8K-d%rn_P<OAQ+zO_Y5KmwP)O+z21jVaP6m|9hGqwy22u
z<AEF{IbNo!jOhR1@2pR+RKt7UaDFL+Ka|(^e}ZdhWI9XWq7WUYCfHE+;93F9&ZGFC
z89vZ(YB>*<y;dz!2QOT=6?y`H5qM@$4~w0?!=C{kX50O>0_IAL)l7z^KCm-Z!O`{A
zs)=x$VO+vX*vzf>{$1E=+4v7R|6N9mks<JP{!ahra7i6csXr`4pP%;vzA|U<;szXC
zyHk-|5AA=>G%j#dOKVI4OgWmr!5O|PbWA7<F5cYfV+=E8re^2Cl3Rs54dJ3k+y}^b
z@P{S&ck1w)!_kpButIr6y(&!IwUIv!o*v2I+zW4b<$RT-KXHa?i!}Uoe2D5He5jq<
zb{qVb_P`mEKAhU$QUE^L{bZ6{-`<9p=gja9*-3Sho}-XDj}dlAGixK)w?IwQ;MYNv
zf3&$bN&IGchVD;zPKc8=7VhaNo_P;nv=n<o;>KUpr{2NWCByVdyxm^Yz6jnj{<D*e
ze+xzpTNlEoPo1#25A$9a7>I|1;%<*8z{;;~^~S+``9D0O;Wb}3Ur$(q<G47<U%yOt
zczeJ%`?HEke4E6U`7`i<LWlx6o;hKBz6h6OeQk_{*)>X>G~ke13CH5#kJiC<YVhy)
zUp?XQ@ph|WNqGN){~2<;b8Jcj60l-n+hi!L`kB>?6`l-Lb|Lw>Q*POi1<w8z`tJ^G
zee`Y1k^<@zt#*Gh{{OS3ym<juGvH$mflm~=y?g*~U})qg_hYj_^z&HQcr*1ga=dT0
z*d)opQPvKnB>z}D=01>xGtMU-A^GQe$A&EeFhkgbCX(MgPM9$B!F~rCjY)pkdwSTC
z5$5?#l}GZ=p|Hai^sup<^g)szG^%yiC*@Jz8F-D8_?ln&$~e5Blj=d@!P+H{-oaNC
zGKKTu4GH^`-ohHAO@$=>=7j@CAxtl}ZC@^&D>lcP4@Y^a)R5;F53=oT9>In2EL@~K
zy8n6EG8vY;BbAW?vu0g-9tMk!PyQw8dG2n?zY7;%-55gh1H;UI33oX74+T9rKf#NA
zBChb#4&Ddk{1m*{ka7xk5dF<f%BQq}7fGgY8x{4F2XNJJpt3x?rE>HniKiqUQ9J<K
z=q`LE@!CBF8(Cm;lfn|R{cYcFQ8B^sk1I4teiD4}spY#Io)1hi^O55fI8yfh8@%fe
zdk!h@HY(n#E{3-T%seIM`>fv0$|AT>Z$^&XPZxFw7T$!r66F-g`7_GcpBDg6?~(cc
z^PKN<yWZ)*I|m=l79*~M88@_GR*mQz<a~-`MU?Tt=a0tUAmvMfdB-a**y74926DZZ
z3%Ya058(aby-W0@d@6arFY5>VTWsI~DW76D(<PR`;VBhyq`d36f9=6b*vdRfxEy}*
z=!I1Tyt^iRiIjiu`4ud~;KvFMw<=*jm8lKRuv_;tsRlShFJR3H_M{FhC-EWqDo;ar
zhnAKCdA=lj(bB^JP8HbNNVeaU(mF&B&-g~FlKSm{U-TdyoUVAPg>0|2NO60!ES`Uw
zL<)4n{q4MhP4Jsp{bwY7!$DDnXgKCo&Zhymc8`EuB)n79_Dm;yj9tK6A3oPy@azYP
z>+JVD0n2e&%MZeRT5ocO_M?5JwRGbj>>}p-Yy|dqI5|g+`j};oqmmOoRjDtc1ZO<;
zdd&^@7}h^H0*e+gq#5l)`G2S&&IdM(UrRX&-*_%8><-6hln$`LD`|EPx8UQhP5rF!
zq2=~@lD;stw|QhQ?msr3@etVY;D+WQxc`9P71F-gm6SE_24C)&%y|UAqu(%p8Ggs7
zejpB>@oO#9hR3R0*U9r6g_(n8N8#{y^`Y_b!Mdp%+hE?rP@{BMf8T{00<fZe?@%JV
zV6(2iB!lsu^YS^QJ^!~eN__#&T=18D2zQP7NjJiAK2D-f;R8+L()F-qZ|-x_|JlSn
z&KC=}QBkIm{=tgf6TbU!*B)gl(!Z)%lG|hp^RBIJCH=D-FBvyk!)gER&nDaR|JcH}
z6W)?SQ$_lNFYI6Q?SPZr_v?`UOjvuwFa^B(=#I^m#FwIm*QN2j-Pe=JWP22MlT63q
z#E2hT%Hi+2Ii^2g=?=ye@_W;@4GWF1O4H9nB>v1;V4)rkZDe{!;^{VPL$UDfB+Hjo
zaEj#K;rs9fM<3N!@R7eMnHS+(A^*{k{;S`cADK>YJ1@(<Qn=E8N$nW?vu}PkiRTX<
zSJ#GZ#c3-@-2L*2p&jtm!W>f)m$E4y5{D1GEcr&_5(@np8({M}k*qf){chvTwLNIR
zR!Z%wfR%+Kqgr7GBME-ezg`a!i2ev0PfO;I{xyYMk5oSFs@kDJ;-6(acjv-hvF)Eo
zd{lTjJq8}<J%6MTrqs;HxChJfpKE&!f5~xhxBx4p7~dzqUuh9@bcDI>j|tYmYxIRQ
zI&dP(&T<mBYVh5t1;<76X_7dn_vYqpaKwHS+V}9Q1GCKnu*Y?^`*rYY@k#sj-59^_
z36&yo8aj1{Rk;0&dl`w_*v3!~!tSfyh9v$?H-@GkRw_U9mBcG)ny%HuU0+_Fd<Vbb
z=<un7Z)(O3lK&UTV&qPTSw4w+k$8!&1Wy|5zDPk$&i9o|+7WkP0TBw%w{WVWYvgS>
za=Dk1oF6)x=$#I5$;4a|i4WN~?XrXUuDul}acAT1-^#GX%cdV>`vR5QXAi+SjPY({
z`*r)+iaB7JOENNKywmy7<(F*m<FJ)Vay@6$G`yyy@H~`V%7=`fly83NJqdR$&u%2w
zV>0c+p*Qf@lZtvWK03?(Td5WnH1g3W=Q}|*WJ4nCE;hjQ8K%e+pp1vjk{%?G@tHA$
zYd;;}Gnxk1Nq<}9koYe<SS*r;j`YXN_OA;|z?pp)WryJAOYcO*;OfmhwIqF2w!1qg
zTxh1vNXCczqaV9+!;TCo{$xB$dMkU1`!2M1pI^SmivAP5x>TAg{9|>a02!~B)}&yV
z---Qk<-JV$rypevndV>(=Cl>kpUXM0A>a#~*B9kP`m@Y>XK(hvu{+ooN&oLfKlM@#
z?BP6MD-MtFyDV41b{EggknvUzt6<Fncxu1!LDC;hu~^p1gOhqv8%X~!lyP(1Lzs5Z
zh(!?2tqqM&f_=q4C6fLi`(WDlQ24Wh+bBuD<G9%P9eAtBPnRw5-Y!MiYp_M9PZ>!s
zzuqM01^e00X)wdI3j?<t;OD}w5hVTJZui@EaLMWKJoIpD8q3NF_`d<lkj-#t-t$#m
z*rw5)jr8xU92#Vp;rCTm^5l8SkGHq>Gr~I_G`}I~6W%Xn%}e5aod`=A^87hMaChb+
z%oVkqNsebCU-`Q~oMF-XmOM|Iw@@Dmgw=Nk9MXcfD6Ahm1oynL2{ecE-FcJ`!mBnf
zm<-`Z)|Xbdz{PWW>d5nA+03L3tgzeJYsZaY-~9N5*&V1aJMRsU_~@O^<lpepdXEE%
z*T>e$VnUc2%>()WkvIcAi$V*mylv(tiC^cLYRiYII0M<v!o^}*ow=}fb@d|>&p*g<
zDIB)C!n~Wre+>D%hQe$EN6Sb&(PH4SE_}*Bu-guPc*^dH4!oYLZ%xwo>ulN*CxQRB
z@V`f%-*z08VUCB5yKQO7^I%zVx+h-nE#F%)sjx3r_`3$r>0jKG1JC8H{&Ip{m44{u
z!F_e?lNVv-o2~UPVb|O`b7Pp+@51g%nCEz#sVOWXX_{US`|h)ScNmU8*3S4IuC;V(
zP=%?{B>oIjtB)Lzgug%L{n-mw|NXjm7aYaSaBc+N&_LPD2tO**o0^0L<L4Wg;VZY*
zt^UAGz82YE#nB#-P}sNOIL5of6f=h5-~0Av)4>Bmx*W}L<B7kUSzxM4A=VG@!|H_~
zE?7sOJFploT1%ehhb6B3@O=fRcO=?~!K*a2(~sa+a@#-bf-e^bPo~0UZrfF5;kDP@
z{sAyvV*Q{5zX*=LeiL>Q)Kk@j&2CEnx&Xf&xt*g6AL|+(cZQ#Q2^TPiTRxpXWdf_!
zW(J$X{dvsBW-z-z{)!E3@Wiu01uhZKv~hxsn7C`zV9$wy9yi!6war8r?)u7W;{*TN
zW_MB))?Ak8xd~f*a^X8AhWugm%eVqQQ@MY;Df}<3ai|EM`o1le4jzaumTiIux6mhU
zgwK4xSyK%gX?gA~6vg+!-NmxqaFck5Tt58!n0HMJ{9#E$Sq0wyFE4%yzC3VST^Tm2
zuoWJKD;V`9oJ26b!*o7}{{+S>N@t}U;G^#;_H)1-&UtmLaP2PH)Lrn2Pgk2*;7u%V
zB}HIaKX$fv!pINxMuu|maLF3?TR5(8U|=__IUH=G4L>+PF`*A1qkrmn6wZBZeMJji
z5;u#WgSp1Od7Xk2Ud6|3gwGr@rZRv}*-YqU3t{|v-<}XBxLCm0;0f$k6|=<}PX8N_
zU<rTlFWv6}--%#OJp%`Eb5vi1r_5D;eBF-sF&~#zN5GsvXnqaAl+QNm1jBjKm+Mqu
z!?B$Wg|KPW`3g1Iq-OSD8GP??!-jv`P#;v+n|y%HX&x=F!gn(6edvJu%<K>P!-4<t
z)-A$TF7*2X;f}y1xpjEE*IRl+c(XYD9|k=<zb!STGKNFPembzjSLga(Nx^Sb9jFE2
z{1%IXJ#dfaiEH9;&gMB@Zdi)xVz(50%h`#I7oKo8I(`6Ncs+W961F;F@bnO@mt^Eg
z4L5Qg+I9q<sk*lDyCBMIChFwlFvZiswI6W3#2l*$JezR;c{O~`%{2EM{7!H@rxrfc
zt}WyUpU^Ipe+=^*+<oW@oAv)EodKs%`LkVv?KNkU!eAx;cP{?0%qf|e2v{+u_In6?
zzMXmfDjX#|sTv74+iEU(!Rzs(B@f_(zv!&3;Fg0^Y>!~hb-B|va1QIlohNX2+}HYJ
za7jb!_gt7tV&m)M@ZxHV`AhhM%Vuh2nA?XUp$smWllgZTb{D2(se|QZa_l7F%pXNg
zO>oS<y0en7+04tKPjFm-z`HH5NW+ms-S8mgo?3QTO!`>SS9li>EgcP9SEv5_8>}0)
zWdkkT@lfad6x?Cauel_E@^-iE;~BWLc0_p@w)9rwUWUDN9|cXoezd&Ct1xqVitkVO
zS)K5E8hu=kaozep*yY3=Ej=tNtz9_)KlNVq-2$8L8K-Q4mno~tIbklxuYX(NgO8e}
z1>vI=FKtWVNViX+qOi7mhDA9{?edjkH_R$0oc<Ip+HhTYFYG$Rn3M}kI)@b>gfn}K
zsAEa|xCM(UOh*y(FAg@^>Jp?42j7`fyA6*OkJTQBc^|hNyaV5vTahz?FQ{o`xWW;G
zvG*+CnjWrXclelZF5P*UTFhj`2G$jzIN}JO$rJf<9;TJzsc?ly=N;8gz&*mg9A0qs
z@*YKfIQ9O6P=8p!*m+U{)^Pl@JruT_5gw6*wfVNh--pMvC62Md&&>Gd5@22HE;SC~
zi%JfUVW|(*&sO=dza?UI+3-E9^Xcnwz%Cv6=kQ41KE`o4EojTV5_sG6C#p#}*j%2j
z2A=o2b+H}Jt@~=#2>+nvvF(7bEz|b2z{cs%KUBh(E=9<6!rl2w^;Iy(#<HvdIP74U
zUJ7i_`Ay&lTycW&Xc|1ZzBzUp-Vo$ia0eDm*Pfn-9XW=dgu<@Bylq$EWD8-IEAWel
z(XXitaQ+?dZM+IMXw~myg!O96E}ezjX)40Dz}4E@?9Ra%tTU8b;U8_?Gb(Vb|7mYw
z_<;4^aW$B6@ZRs8a9nzon=m|bwf6jeI9!p*Nfe$HUF|yrca`_FF~J<Wz4xob3M~Tf
zSm0WvlBdVuTSMlCGkh4IV7al)2;RODt1}0`zFZw=0iR42UuuR;6w-It!yk^Hoc;he
z_K&By!1Ui&^6X%m_e^}D@IU^wSGMr@R7GYW9QJxeni(D&I{rNYRtowoz8O~MdTRa{
ze(2|(roI*JO}g}>y|9(`p9e?a6G~iF!?1vjgPH)WL0hdm1)Eg%$ZvxUedXTF!?`zT
zYd65_er&R<a8=)h5=z)qGx8bDNwgnST={?UqP=bQaRVdl$@!7(7kvB1F;8~*Y;=it
zC!G4g;R7$s^OgQ`H*C&7p(ae?4;z<C;Algc;+^oRX{PBi_|lG-lKWu`mq#9naJ64;
z(joZto8Ak_@Uu*<El1$3HEbLnaKTaa6g~KR+F=Gym_EOS!wjB?xy>UF$JoR#I>6fI
zp27#<zuq+d=V0&QRXZ{Gz6x`xE$ra1cv%GYrS?{}falJZ-{XV1{I8xl3!joHP3DDv
z4S)S%4BG{%4$;H!HhmO04I6T6P13=8dG==;z#|?^j1=&d2H|=`SkZ`wbDan8o4egP
zehj{GHS^SOnD*c4AhQ2P9OX8@U>egZ=A&>((~+zJxR~>XCQ08ZZu7hkwif)_ss@kh
zKIg25^?1$-Yr|?0cNiPtfZ_E7^8bzRD_!$po}n|pOyRkkVfKaaC0a^ba{Pbh4X2~v
zan8kda(<%oxkm57iQx~mUE$(H7HuDRCNnSD6Mo;^tn3TF@-b!ehvhTq1D)Z%kW8Ih
z@UQ9`PZ!wrqke4|yxU~1+!C&6i~27LzH}zN&<Yj~QgTUv0}31e7{Gr1E>9l9^6739
zhH&m<e*P!$pf}5jLvTvmN0(eUVWdc18UDm|<3}+p{r>qo0a%LbuF-3lQ=YGb4_4{y
z93b(Idt6*hury~Kdl{Twb9XxfY!S%ts1O#-53*h1#`xg!_YRW2JDI{|8BS%BI!pdf
zo&VqS3Am(YA%>*y`ruzV28-S~D3A^74P9IBhEHCcH6rP&^y%ok;OUWlgXyr-62<XG
zSpHuRJ4ydSBHpwf-m;zNQ3_mY9i3PVdtT1%An7}eq%(`)81>0BNwBHVj`7DZ|GNt@
zB)w+mr@2%(R40r70es=WJK1Phej}F=Nx$Q%w@M`ZPgZ~69?X&AdeaZ?6whZP>61T8
zM)<<ZG~bgWU=ItSHfNY(x6EgfzTRN8?*bfMe%|6PoOcPeFWk(XdXJ>97J0JcH2l%9
zeQPj0>C6$K2G<_k<V>!&#_6ee75Mmm`Nf;?mH^{b30THg>nPb?S-L!(IIJ&w<x>Eh
zl$~^u1r{7SvpockrU><9f~QP^pZdW|qhoywT(}-K+ABe@>XmOl{=hpEF5U8lZ9imR
z?0|JfhJTazW7=ZRcDVirr8kL(oTa>ZAAUd~tVi~L(WB2Z7N)ztsWA@z*rc`U0k6D&
zEltkv^FfX|PgpM|D=Q0DRHQdK2RHTHUdn?-8d`L$VbOK>ORr#6mF#>SxI%qjRVB=z
zY@4nNb2e?4ZGhXlg=l5raK@Tj?_pEzu9XAu*XhEQ&#=T~u0I!SXOwxqpTtiYdGNrF
zw-WkC;n~9O9twE6dt&EL`1bv)AF1H(^FxpS!2I-IrKdPC9$LyWw+t^>dWcTL>KSy7
zl!h2DS*Q!?f*Th&OX=X4Dt+G`*!J+2J*=>u`^}*mI5cwImkTy5pzExImkzAX3&Jw?
zyj(Bft#)^Ih`^h}5*c2?$vz>eyI?k|N5?ZsJY{32G~B+KM=cA^6{6KufIZ{bZBpR*
zovL<<uryVKX&O8!r8b}rmpt}Lh=x7(<g#kPd;gmXzYkwe$q&(oKbgF1y$SD(rGIS%
zuf)jL2f;_&nfIT8&qZwe?h8kpmpfqzJME0<^@BInDK^-{XNwHBUWPBn-dw%_|0h?@
z;s*b-ymR>q9MBLe?F6%{X5YOEPvra)xd>C<&8P5#X=lA}8<F_dMZF+6>}ZdV3H-8l
ztuY*Ci^)tr0jI>V3`fFx+LY1ya7G2USv>4`HL6_&-eM#jmJI)48*fyDw~rm9%7g>v
zv&RmS-#=C5&w`6)*7^>S^p(0X1@PM=SNNsiNE!X67w`_r2G%_=-E)h>m2mDO@4ezM
zrOl~RRq&JHCb1px$T_=Djd0vqQ3oDa?u9Y+d-(Ak7mKYhub{2ZXPDt0moFRaR&5g7
z2`6to=gI+B<(y|6gtcnYi)i4o9u<`lxJ72{2`x+~V^A^)Gqwc2UFX1fL$yNN6ioN1
zzJdbrQ*k<43$UKk?|-w1H>9y%Uxv2}?V9}qU;iQehr$Tu@5u_*DOkgXl8G9&a9E_7
zhONaoZZX2Ib^XPDz~v8S9x}s5wPn2Huv#w_2N(R7zt+45rg&PYwH0Q#wxIU~4ms6O
zEewmtPDeGv3jDTz#Nmy-{6Qb!%7fROq+uKBn9O=O;=abMy>M`QZ9*e_eUJIdL3n`u
z@t0TdhSu-955w0VHMf+)-+NXwkHVMk?EhT|#|c(dYr|@;=HH6oiL9;zCt;7xHB`^w
zP2cY88xfm)U&@6WCUW0ez~6E-xHDmM9{b_5FvAH4#w<ASk-wQed^Uvl_ygGD=Va&w
zxP?tYH39Y+q@lV3=l>10iiWFKUh-Xq4~%9T--k~)x81)1tNJZ^gu)9qZshsHeT}S6
z;qdQEi6VDkCeG7$gW$O<8p@&YiwgG}w_%HK=U(22FZ^1n@`PvlpN>C(MXxcw@P_rv
znk-Y{Cl*?tUE!Ww2k*zQ#ZmLO?r;X}?U|?W{6O^B1vuchFnu1JDwf{o4A(TN1-yhe
zjZyKPh5Lfsip$`~oSQeFgPA_w+gS%Ys~nUzgO5HIJyH)(e$)^-4Nur>R(^o1pE+ur
zgq>u%I$L1A2X694@C}b8-EMgFdx4h*T(Q9D-v`r_zPP9fzscIO^bP)7KazU@{=*|D
zISx1b4yVe)Qwrv3Gw_Fxb2ZX%%tUYb9Be)MyLd0Wc6&``1$O4zxF7^Obj;eW!?EmZ
z<05d)5LZ8~G2-bP9ckcVmv+_7a8~@B1ugu$X{D4K-mu!*KgN#w^4v9n?QqTL?D%(B
zS^IbviARL=OLW1bZF9YR@Z){7vK{arr#IH@aHi6#(FgdwCd+kBxOTskRWt13H%QG4
zYYmG8)WJ6{iwcnccMv%pUIUkE{dq$6&&%B~uN2;(CtI@#cC>45D25+>{Mhy%j^|iw
z)AwAsZh6zszwk|}6KmNd-udX?1gsEjAdm*9h<9>K!7(O@k|}V(zlV>=`5o~|(Rlzb
z*|e5?hyR8s+1!V1`p>-UfQ6fm-VB8k9Pf;D!Cll3Bk#cfG3s3)*E8iuc0mB_U*K`;
z6D;CFRp|$Z%_%T7!Et{!_j|%NPtC=e;jy=u$30-KaDjqanCiD5-6i<wX~m{D@K%=Z
z>=)sp{(t%v@I=qTep^_+n%(I&T%&PL)fzS#?wBivk34s?It}md9b+hgyB$WH&0v<K
zCo%bOe-T~27A#p_)mQ{uN(Gc_!dG|s=#l*YOsj-<5BYuJjl@Fu)T*Mm6kPI6PB<I(
zjSn4LWyANwA3v6o{}be%`?3!I-Onpc_U94H67LKg*4JZ2j%V(Q8S@-W|6Hv19o$`R
zw0jc1^moJDdsy7Jc>5H5;DnwdIlrc!&s0ZAJX9=@oZpnVO|n1WpfeuJgE04z6{A7;
zc7*npVOX!$RBH&H7>vI|t}nfahC>frOy%_WCoHx4$ovaz*Ivdm4~wz~`?SMLlehOS
z!h3YSUh07V$o1r`!Im7g5g*_q8tHW#kiYJ-xOsen*BmvTv%;=i$6}jc^;1mEY;btr
z<B(=}RpzWJ$?wSzu4dQ4%j_bj1>msK4@vbf%|(wkF}Ow|siG3DRFj{Sfc>BR&aZ;E
za^JO*fm?X}r}JUQ=QQ_a;YQ!q;X?TMycxYR+!qi{kpmCDVii__@2h^De+qMXoln$)
z;|5IjC&3#hKD^h3?E_Q9AHp?ULh8ow!~mUrI6UO#bLABL#$NYyBrM3${?iI>GdNl1
z2|wU?EsF;#D$`owx!&*%X3o6JaHeE%&Oul;HPkf#wx6|oB@fH)-uc%HwzFv1&jY_n
zr?en(@2;1sT<|UGN24VE<coXi`WB>LZI|+ck3?P0TZQKYFTA=6Z@DeO_ydl2^IpFW
zt9r@sjKY?t%pq6cvu7?psE5Tg6(>l1jp9y59ZbLW-j&4DgG+_d;T4aU?Id0^IJ74X
z=AlqCC-Dg?iu?eWjdHw##P72xRQSPB=PqlIxZ2fsW@d2qgW<{>uwNd#oe5m<#r6o<
zKc~tNsy#4gyYp**__W~IW+`}J`R5UGeB&-gE*x-VZB;n=eKK?PbvF3lGX+la`=Si_
zWCpmaX!~xGULZ0%XA@kel=R94R+oM_zRZgD<+U?E++l}7j>RQ-{#D1N3vj?h6vqtQ
zJ(VBq3>$u97M_MbzY}3O5078<3+RG9OXE#QdiUH-ksYwE8N*j=_^sTPUzKojs+pK0
z%$!5NQVv^EHRYd!i-J3iY+;eIl_F0#Z~nfuH9YQcPLb^2r#(A{)L{MOn+YU7Y_Rl8
z1y0>Ix}C%=eFSuOz@L5?ICv2E{&z|o_Ss!9a}n-OX<J<1jQ*Kt<$3aZEy-%?H8>`d
zefkpI!`@oc0`pE&T=RjsG(NX{fFH0KQIhjfdHmJghp?AfZaB$5v_ft1N$`}%e;j0c
z6B(^x{P1DBy5M;DQ@e1|R`{>vI&%~pa-TKRgay~vVaL&W*y)j7oEiM$Csp+aIOmVu
z76n-89vx37EH+(0r3j0j{Sh?)A4|P=P8jxRQS0~y|E2tFAPSGo3+Yb5q8ADxIpB~z
z%U&~ZW&Wf;7c5ivW#&Kl$CuJ7TKLKMWBygxV12q^6MSbZD3-<q?c<@=77Dmxdh{7B
zTz8hbh6=uSp-Ff%{I{fR^$#=df2-^I>~It3#Pk9@sbkf|2fy5Cb!-rJ6*giJhWC8D
zeP{@tuv5Ib6PDe?f9(_eRq=hn9$2AJ`9eD!_Vb0fJV{^JkX;8)Ka({&1n0<&B-F!i
z-U@!ufbXuH?k<L}x!?a!3wE?|YkCFWT)A=C0N(erpC$|Txi^|@3|sH}y_gN>1h=uD
zh1va%?N5L|)9p~ThW)e5M3Z1iN3Jp_n4{#0btrtH>)iKCa9(x3VK_YYSpSSCy#4-k
zlrOw{CG?ID+~zYI;0M3o=Sy)57Ge{wc7Z88pGt+mJ$>5>UE$iT4>O}+Dmjf`R`6%-
z%C;Ez+1EpZHgNIjLhXle-kQNyBRI^x)*}txfBOid34C|v)vp}bh)Os306a^RccciW
z^4{ku4;#JDd|eJtPcYAN!&dE<9B<&;x|74aF!zvo_<K06DA9a{3G+$x^p1Xp2Pm9$
zSK%YOdoB9m{YKJve!+!X14D-3;lRJ%zu}UBzzq|yxTk6S7+iDoB<D}~@tWYB3ApsO
zVZ<NU!uMlCFMLI9yle>;9F2O_2fIyA%4{%2`|Q$i$7gu!;liVoFw5@rhEABy@kKQ~
z%+xDK*$5BM?EA?KXO0(rdk5#_9_kZ>b!_);D~Ip>E!-#qA1nU3xe|5^dv#+M%&#Q6
zrx?Ef<U-7Dxb}O$;49etl`Eqh{9K4tIUioF6&6x}=Y-$xE`+P}BokHPzwC>;*>IO`
zZ-F}8e(9;wQ}~YAkhm^9&DLT57-l;frgQ?PIHsud1lFERl(K|9B`wS!!6!>K)UDuL
zS{B_@7|((#9AVKUNvC*NkLAy&3-Iu#zSD{DJCPNwEAT1qIj?(gcITtBS78oX!_#r_
z)v$sSx8c_z=e#0FdOic&J8+5WX2&RaTh*!lXjspa`*sN2arnR4`~Oeh=y?|wvZQcI
zhE?3&#RkH%?a6+RVE%rO;9KwwmnTb4;9L!tx+`$H;%A{}Fk3k1i>vU0#$e(Lcq=1Q
z+a-9zBbUOL@NjNX?PXY3)JLKUc2v2)dJfikec!MSPOjcJZ4EyxOnu)BTL(`aJqB}l
zN;0;=e;sehABV5hE8OaZB?Y98Y=k95=#EUm8Mlg!sNo*3nGfIKv4FqtM;S4GDRe-H
z#48?0_l>|Tdc03b{H%S`$v3czJKy?GI9bibx)x6J`WH;%$*pm{Y4A_3iaruIIDdR1
z1&&;ZvmtTouD7jU7%=`39N@xbhVdNz^6Gw=ex!0t5Z*p(G8PU?9)0*~Kb&^>_EIPu
z^w>;!7yR>Es`EuS%|0`V#HW7^`8vUY$rjusE^Pbrj}EN&<-8M#m+nxc)`q`~bI<LB
zKf4{cwgZ+)8B`~6+WFYK;&9OI@b@H6#TvMQ4mNnj!cXF3$7eThgztKlXOQ?Irr5|7
zdK`aE|1(Yai}AkHhcF+N&pu^%s;sZ!1bjkb^S_gDWhU=SeOP3d&lPi+&u++eJG`@o
zcgmimS7kI3hTo0ewY?0FrW9?P+JyGM^@ZOz;G;8dS*GFUm|^?d@FNXV`!2ZWxKw&L
zOub-Z(gSz&WNwXv*Zg|&YT$itpG=ZrwW$8&IylPsSZfCSpTU9or!YgS5&biGp;qQw
zE?h(39{2**;tVtmhdX49+bZBvCs)l#Sm;Hkc0KuheO$Q<e7%e>{sYW^=H+{5nDu77
zAc?<C`e306JAT^|&;mccxaO<@?@qcy*9fO-tPP96O0fziB+l~r@E;*KP9k@p0Y1~F
zD8&XBo_3;chUfmr(S65r_5E=Gmn6vwX&50gi$W;Lib}FWR%R$<g%BcJk&#eYp{$UW
z@uh(>Dp?H~*~#9k-|PJTd_Laq&$;)WbMO0{`}y3@=d&+FejCi0^*yo%=KU7vwE^a#
z4lN=1?Q^Z+|7h_3-ljR(O1RJe-C8%?DX}}0#O2NlF#dv%G6pk{xKaJ)peneu*v6Q|
z?Jr!5uYj5D8~Q5X2}hUWXYknQ;#?IRbAILFb2yJX-l-0jInXfw0RHH^IkyQ;C{?Gq
z4_Eoyi;?!s|NZmvgBz>rd`LV+DJI$np1#k&k;FHB6ddM&d-p#d?1Ia(`<HgZ3V}3E
zZ7}x+^|h~?QI7&7b_~Nsn*<qK;5tUX2i>sdk?-Xh@EhewhB4TCwy7x%mT7NJ_zl~I
zow>&gi%PasQW@d%P8Oa}K3LxQ{$YC9U;W7v6};1cGGIF_{K9pJ8s6Ccd65&Adlp>u
zi5mMaSLh`Qe~dbO{|j96{>GFfJm>pq`W1XtjZN?<e5cr}ryM>n@Hb5vUg(~e%7Vp%
z%sWoOepl}9&4wvn%V_Dq5?#w)x8UlD@DM{1|8U1P26pwc`F8=Htzu;Sx(WAdOpEz<
z;A)Qso-eSn9<^iy+@;A?^cddSZWa{}J1GCH$$@WewPT5bW0*`YdBH(<`h1gMtxBcq
zSK+@+0~=%D@FJdxb8y1U?^7f`%dvw}AEsyc{rNU5euM4ye)yd_rC>5#F1jZ}1g0=r
zEsTX9cXcw;!R3}#v-e=CQ&ar3@JUT09}=I~=zeXQ3i~%GTXYvLD@}@?gfBl3Jxtm!
zNjtj!8D8|^@F8)tZCAE^f`?hQQj$2=e&(-QFw>$O%Tw4%Dq!#|e8GexIR}mleRM<`
z782}jEP&0o>=%%QBf_XupTmL?(sy^k6jp)ZRWQ{`<&zz7z4mz~5@)^fYWLzs+>a#1
z>5}+GF8<BSaPj%7##*?gcJAtT_>6No<0rUBUf=2`yvc1OtOK4%u`o-3LlbMbM&V=r
znWyg(doA3ZhG(tp=r6!07awoka31$3d2ve?@aCR@;4QG(r1AFi@arvR30vV-en}xi
z_^%WX$3}Snu5}eHSivJ+bQ8>({KN1p9HV-!bQSH(GP=ab!~3TXv{E1*Z)lJuN8-NY
z=NA#T{LWh~33m<aURs7lof%pW!L~b@r>9`k4LMu)!poeWnCIb8vy?qN@MG%8dw=0M
zC%dD&Nc>^n;|Vxuho$BYxPAY9@gev|yZ9wWxb^3R!U*j2QOutn?qhsh*8?B#Xnwv%
ziTN*CVYnamiEID30!xK1IQ@hTdb0;-U?nR#|6lOHaOv_C{C;+7Q#*Wd;3nHB96flD
ztrJ#|NfI80wK)e<$#^*ZzNFd%f8paP_yR`<2A%%}w@|c7e1OgP)(dLkJEjiSB)@Dk
z@0)k<D)sI^WPCTX9n`oFpB1P+N?xB-vm)~lcG|VQ>>HdPMVIRjYc=W5^}>A24RL|6
z1Vy0}8Sl%~#gvw?w_iyi8Sf|?t8pusX^LKOg}grI9lsvD&a|xd55D`>W!pJ8`tP}#
z%@{9=pi9>B@P{$ZDSFt6j!8=a=Hc>lV1s{3X@`o#ENdzeyW!zGldgwgle>>L?uFyR
z_del;cj=k$6@Z0aS0?bmng%tgV(_f6>o6UxRwLIa1(y_WY-NCDccq_@hgB}$-?y*<
z>tnqYcNKW!seQ~#a0P|s_!-z;<B@eQtU;H;sS9rl;Me*M->0X#YYclehi5dv4@cN*
zE#T&J8*Vkhw~mJ%cYx)1M>G=Q+#~(@Ua%1DY1t&0GhTmRAbeDR^OZ2zGR5`8P1w|~
zAUFiR>F}??7q%X67Bqm*uulnw!_TWDkLkl@bDl*3FdlO_OHJZ>J5D9Q8LbVnH1P4l
zdvET;Baf)x^iZHa2z4^#!saSF3i{x%LbI@^a9LvD?-rP4=56*f_|)d;=2n=oSDm{O
zP8JxUdJi{k$ds>vWgI3ZYGE5g(U%`!p_4nd{s&97>(n*CcfPaFSHs^Q|5Rv&{~a_J
zErvA%_Lz6V`iW*cO5s}-Pda<x)q8n%DKOo~nN35ms!oRPefaYEK>rDt{pI|eBRsyl
z;M)p(euj1HW!P!c?h7+;C%3fc8F=X4?-UYu=CO%74O7^i;U)2>&R&bc@NSD1QxeaY
zdQL9{4>C*lPs8!_B}GgBjH_9)DUbbw*%PSWFTlU8E#A(<Zk2z<JK@h_3hV1|1g(y0
zJDk;$98BWuBkWCuu=MAaCJJLbujd`tmk<BEB&fHDc<*!lv(fOGjaP1wxC4EcRU~{Y
zsD_oqdHsg2$iXakbsy0oo^vZM<OuxHGev}o`1rvNURe6`<8!pIMd`H~KKN*{^=D?-
z*F0TqZQZzfZ1TqrPWZXtkAwf<S1ZY}{BT#k%#9(~V&ZIt2)tfre|ZG<(O^0(33Gb=
zP5%aaabMMufvv1|Mg4#u56Uzuz|Xd{Wq*ZhDr~<i!2+j6d^+Hq*0CmC_~pJ|37=rP
z8#{mM!{hfQ9Z3G+7Y{z!!ud~s1vkJ0N9()n;8i;-<u9-x^EP!n5U!vvvBB&EtYIW;
z6buVmS5lLBX|0k%Hf(!QorlD)mph!zh1IJ<9<;)nJ*NbJz$2?`FB{>}iQUp&u!+K;
z1&P1$-Ocq6KJh}sm&Elml|?t0;QgS_D*PlavUHqfFYN1|dYr^vn(TP^;d-ZxVY2@h
z$1G^n;86WhN)oqpieNhh(;R+LL-ubd@NJMKEdF)+2id=KwWG1taOq{gr%f<(r_D_d
zc*F6hAK$}IXCmS};VmLT;iNz8x4)%`h5bt(XTF6!X9gMK;Cww9uR3^(wFPAsyqo#l
zo&R99T|rFQ@ZBw9+N3>`Q?LF0ga7&}T&jdAYOo%LU-ExFUIQn@==rz6-<p0Hy@JiV
zU87rJ<pQSzB)_C_EMNfUh;TYt1}9I`+#Z72(>8FD{HJR-ZY;tn#fyiF;qv9wm}U5=
zVdva)xbDu^H5OCMr+eNq7QrGqV_VtaT)Ff8C2&xM&A)vxlZ@Q@6L?+6mtF{Fi2B-6
z2p{}0M{xx1D$gIwhHFmJGRnce$qVhdaGwtTei8oW*D#p|OXqhcs={Zp%-?6hL1%O$
z4B)wP;qFxUx36WA5&U+e`-cZGGYdDfB|O?J`#TYq5)<XNhV!fgo08z0N~8BK!y3O8
zhhkvs(=$0v@JemympgFF_hKGTm}N=nPXuh={6fqd&Jhl6i-H$^Tzwn}i!&XY2!>CV
zd%p;RAKmu<76Q+nkUba$rwEGAT!-hGWRKs1|IA(K3V`44TzZ)ZpH$*l@Pa))&DAEs
zj;6-F*I;YC=L+etsOg3kSNP3*(b-Ixr&fNz9d28^QlAIQd3Ud0hJS`!Y%hRU#n?xj
zU?yrIt>>_F;&aN2aJfH+*-LmPd2-ASX7>HnQ4PO-7D8<SU+8Tfz!xwS)~NrRw1m6P
z$C@|5%&nTV#_-3y>yAw@oqNcv32c|4IMfC^%x+`Qho^pt%yq!4seXNi@CCz?;bE9n
zn_^W9uD+B!KMH3XNe$}2G2^CJX5dBqa_?z4=&#cCIXL|Yd+S-)*#DyowHfA<w%dPI
z;XV2V{xtAp@L~<gXWt~{whMO9wf><5=M`@cWQVo8@4i=o>py*4-V2XiSpOvl_g;KK
zvk&I&wJKGBEyWd955q!<HH|Xxk%#QGvan0U%=05~>ZzU}ML2v~{qrGsCG%yhGVGvS
zm~|MYxv6wh4{rUnR(SyCd%iR794u>d;SR~aQkD^N5$=)5$rFZEE3d}e!(w?I38L_h
zjdBdGaFgh+B0l)SJROHSoEqd6Bnay<Br)EEO=XHxxna#tTh358?j4g0$-l!e&6EUN
z<SRsQz(<R!xRT+BY-e{aI4UMMDFc>NOpa!QA8?$_&Vt{B)p_oO1$<b!3*Zy&V=+u{
z+VuDRMX*)V2^&^;yPO?QHQcOWd7Taxj}R4m0~@VH+cCf#9y7Tg;VAJ(fz<H5!e`GL
z;h2SGeOkDeN%=_^e9Lr;GbKF7P5H7L-ryl&L<MUneK<G_zl@f1U0pM-u8O;Pd=z$>
zwl-OZ&xL8cnufb7?L6k;UCz{Xv+y_P+vbb#a8I+s8a(?q+G`SCF9|;T4;KAfVmS@d
zXK2)KHplw~ocTVZu(LTu`xe;T;gii6{Ho!DCNtci@%DN@Z0+uC$_m>J_1g`?W2VX-
z9PlyK>g0B~>t@n4H$0I4Gq@A}*<p2A2tFnF?*3<Zr@@wMBJf+qywYY8-*t>)FMLzv
z#Ev4E*&*jJiGO95+g|{0VeY8lg}3Y+@=SmW>8=e3!gLy=(Qz=(&Fo8Ldz#%%*^zLE
zl8`sa&$4K*2!};2_5SUG1@=4~_l6ZVpV`d?FF8G>@`APd+|#zhUW;Cb?O>MT^W`M}
z&Gxu6w(yu*pyD=omw=az87!po_bdziDE6+82|N|Z+(rxE)37Qy1M_G7oM3?CZbrU6
z4Zpqr&x0C1BJTQA39fo;8bkxzl|7tRfOW0?w@|>sSx$ThVcPHe`KaKk`K%*iaKvGa
zCo32)0~5oWJIL$#54CJSJa{!ZWjoBNd)9CX@!N$b2iI0HzX#9-knuH2y}P;s%lq?F
zFTlfjTo-=A8*GM-ka*%nzpLM2gHx;3^RPhP+_%^8$s5<^*5P_d>&cgJ-I+)q5;rPn
z(!B@QcfKzo@nxzr4tL>O;Vn`m9#)#&<Ozq`eXu8S*>95l9&p*eFB5Zcl8oksvvBF!
zMR9Vx4f&H-&%pjMm!6aTtLF3N+YakK7i1#+b#++!C<`p_%%4ck-)qKOUi?`xu4a>c
z(?-r$N~g}I5tw!Sl`%OU_uuaG5iq;ao9P{h|EzbW4=4E#3%wZOvS}{^7npyJ<pCLQ
z@qGbK&ae#q+FpA2vRItoPI!*HE03IyDegA5yWw+O>-?f{sY%RTT6kP5KwcaUy=)pl
z2M?EJyp(}68a92LT{f=v{qJ;_JS@-uv1A@Dxaw@625W3<`#lI(X*D^k!{$=)jl*z|
z^UR1Y?Cr%e&;#eIa?b0+bwi(<`e2(r<tt|J4w|>?EpWeebeJVvspvD*3Lms9qr3!9
za*h9MgacXH7#!iZnOVclaBbXLm<PN;l6gZNtShuT!4qEEST|A+N9<E(41g8Y#3*ZE
z&1@6)8?cdO-{>3IpF1QW0?sl#v9TQXibze5g4?U+|5U(ffwk-j@E$uosxr8t?VG?|
z*mf7y-{<h?DXNTzaE^z`rXpA=jI}TwUUQ)xe+nCV9~XQAO9YxyKZbv$pOMUm*MGd|
z$cHa5WeQfpyErK)v*2|4LdpN&FrUKCY?v|fTVWls^UUM}*wwZ7^#^!v=Ywx)aQ9_;
zsTR2Pzpkky*j%1ju@#ni7V<qAt}Bx-{|Qgi*G%7mtz8uAe!))+x4lb*6UOe9Pry6+
zm44oWdwuWKO~E!tM&HH2c>%SG%W#?(TUQuNzw$<76=n;yDvW|@ZgVQpU%>m}^C7jt
zFw?IcXBpvR60LVh{y>bY5;uIOb-XA5j(+BFmKT1Q8J~0m7Sl_r7lyMJ9zVSX_gO@@
zio#wCGlAFP)cqs%$KWAfisY;C7~{{@<8V$v)(tOsqa3Z~N%+-3Uh)-Kk7oJ&X}BwQ
z`jR_||2?N^49hZ41zm;*qg9Me;jJ5G^hy5B*mO-N_`&`Cj&|@8b+qvnxLNhHz5~4F
zQ+b;gJQ7#!XbHO<$m+cYH>yz`w}rXYDcd9AjkSNynZfk_!@bdP(dVe+7vLvfcbFu?
z<{O+14B@D$<%>yh**OM<^RUEQ;l4EZyX+qW9r)iz+VKqd>$flkJ-B4oQM)|&qVomA
zGqBCpo$dv25mT~|7HlQuZC3@0cGxMNgrin;-K$~uPAcKkaBF+;cs;D6-K?kt_k@@%
ze}qNu+X<_{N4lfkzrsNR6GoD-9<xML2W%u4taKRGX|bX1fj?;|o<9Je*Oy@KgZT<t
zmBeAIJGN1y@Yt28^MbI#Kk=k7xMDY#vM_A;%9?o&ZaEU@x*Ps$Ga<ADyA{wIbHF*F
zd|4YTkiX@XD=TbT*I%>|uB%lxW`hN6cMH?Ox@{w_3~<)%4k-rs%}-ZjCO9CE{wW)*
zdZ#3U0^a|{uWmPNYI)d=63)>pQ``${Z}}XtykuP6u4Sje50~%Naa)BgwbSbM!~MR4
z5wq|~X|1nfaB8ou+dMq_EKEZNo*kQu7>7fHrHqciGb!$Fld!bE(^n<f!)QHXn8amv
zcB{ZIb$r}LVeO~dMjEjBn|~2~@EP4jYfZRolaE_Jyzk_pZUgv{z;eV-_)BZss1a;f
z=H~Vbexu4{V+kJ%{~OT`vsOO6Vh!_J*tm7VyYv5yUWPe_zD0b7ndrjjonX-|T5c_{
znAf{2p0KRqe-R(y_cdm|-mqhVgj*xL@FaOY5DvY2KjIz9|8<Zu82+xo<W>uNt2p^a
z!H4JXe$Ivulw?1NhYQsthO^+VbX#!}e<2nBFBSIuJaY6FythqqM+&TDms@ia7WTe-
zAP#oT+t(Bd(?7c95e-lBnwpXQrP#O}brY_A)M|eP-qf?T)gL~7lWOH0{C&ayk0;!s
z=0Q#RXRp-MZg)8P_TaXY@ZVsELziJgUv19Q@a4G?3p+Sj_CG;cSj5lH`vRP+#V2_b
zuH>H2HG!`O-8wD|yZ3lk>%lGW{+<?vC!cSh)Pj{A_0F-w4+|e`J_V0=7Fck?7EP{u
z)ZoVt%!gRv{XT1lkHd_6o=ubUF=D9w>@j$Aw6zyGU%l0>Y^7i!-e*Bfu)`*$>k_cJ
zjMWwz_{N^k2_o=`z5-TSm_p!Lfe`#U%{ZA{A5D^Gv)ka^-?=L`!*S7P>6l>t%MFVE
za6R2%4_~NW#QNS{vzP^OuOg4`H^f^CML6K#l>L|E;B3*Kj)L%?acaE;_~)17!{V?J
zkISWK_?Z2XnM3eD&6J=>xZzuy7wI1_G5kb6d_Oooi^N+GUR$z<7k`NelQ^@Ri<1&8
z9O-jG5<c5d6`}yE4$u#Zz+6m?{T~+ae!|_vkkhbjtL9oAoZq;cj$A)c54~Q5!N1Qb
zUeJN%6nB3Pffbr72Ts9s4d;ih!x2x#Ce`6BIc3cO@S(lW9Q5F0D;BKwux;RM_<8tb
z_O|^O;b&TojHJD_D6aJ5uwL>3WfOS#R`080aI`~4y)N8Hk(53@kM&s4!~r|_%3yKW
zBz&<w_%S&jHRyTp$9UKt1yzd|TvU3Xu?7AboqC2`KTqEIAJ2nZ7Y43J!n3)4`wHOl
z$2XSZU?b_68`1FFIWL}6_~(y6``hqx@6OaLc%PGNp(o6!KKkkjY@lzP;0-?ujgl;d
z^^PC>ZUNuOkkfeuGuUsdv4W$;dK+utjwg+q&cNSSoJZ^6dA6)E4OrzHo6TpK_N47@
zd06kjE3Z~q+FNFW0<7U`G4m6qFlX5*1K$bWzxE4W>-fDc3!gpF?l}Z+k&hM?hBala
zBmcnjK87r!aQp=Z>RGt8ct(K(zQucM*CPDz*((7q*zBonJcT9dHAkR48%*Opd!G_k
zxOjqpC!7+LwsR|dmX+^E=Nztw-+yh`;qq<GHQ(W}=Cq!@uv1;@sXX{K%i=C^SitX+
zcmW(q_cUGxcHueWo&bL{5G<C5&+q(x{x1A3txrS^_Kc(r3x#b?HOQ;Ow^ZYt!r_;T
zA+L1dlJK$=Z#c-wqR{{zq>;Vh10N6OQo8^bExb)~gRf<WXj#IXRVVyC;29Z}1_zks
zux7puyy*<>FDKZ)y5Y`6ctGWYp(p(K)al3OaG8{Vr8j(>{rznVSTk?%XCPdAPCnZR
z7711y41yo(9C9;-*H@~4#KY2+8R7bHc=oP=MA&_Z{fYtnCik29L)eHaG(;2DJ}PFP
z4qq<z)YXN}8jH+IV3oCR_UiCm@r`!RVD+Ythe`g$-XPQW@TQY|8fviOjyBsmc=5>g
z-6X$bNZ+Ir4(zuPSBAAGvTVM?2FvHxRN=C2e&au|OHaR$G<+zg+;IZl!)nAN3tP(g
z4KKjq`r7upU>gx%dI~E%4|L*{COfQ1uNX!Hi|jdfXCr)cyfc#l-lJLOwFze9PUG4E
z9~z*4G&gHpEh#c1&JJ62UW{CT9p9Gc?S-``qthqgaj~9f{IH_%VCWS5SLLzT0r>bV
z^@9;u<=#gbarm#hY49JIMkKye2A-YtO8yNCUM#6N0vo<;3K)Q&d-zH#!#0Dz6T9H_
zdv_I1zypnuR=se5vgqM+u!_(<?{Dx2nG?qi;l_iCsw6*!^1GxxY+rH0qzyjyVe;4|
zcyjQsAjxMey(!@fS3De%{{nAPPnNq5Z+SC3)eff~Udq1<^YM3X{sjAl(>=cjbLdN_
zlla<IiS%+f>KEIKX4u+E^+_eH9K6q=73LjE-`xS{zgY5bgkA5I?)?T!=<C^%{P$mc
zAN0a%M|gc};mS*qIlp0DE+5N!cz|1<cMN7IQ}(Kc!!s_3jKg=klg-``w+d&^!^4mE
zM3lh1kECBN!;^Pht~`U|j%}3KXpQq<U^pcUcKf#B#AbL;hvbcH*r>DlKSsFc@5tQ;
za6jFL`fc!w-;&qU;0Ixe%DZ9u{QkHk_%;4rf&*3@-hV9_*1d0B#|QIScHX`NZ%Wtv
zybmty-*Yt{c4OmG7lS#N-bY5kr5hOa4#M-Dw63?{<(aN#S$L%ENoWXMTieia6lQoo
z?idCSOQq<jzyZ49K>@J*<V|B$cr>@c{sw&Hr+)icxMTQ&|23HD`mt^;k{_II;|u>C
zq(5&252gMWa~Td<Xt`txCoeBwb%L8~vj%NozFyi4GgvIcc+npIOraQd0sh@_z|9r*
zD^n`ff*1Tcg0I4Kcirykz^uFT|6PY49vd$_4g2c)&;-J2Hk=7(V6V$sLE-Sx$~#X~
zVD)H@s7QED7$2R(e0!&<<KdH%;@R@Bu}C>%A}nGX?y3ZH^xJOAfp4Zxh8}^HEB7-z
zh96(xaFT-$^lS_-hILL}50Zq-(&}PM;pu&?nlf;*n|tUxIQZy(8*!L+)8Uv}_|uV~
zgCyT-vF~OFEaUrCRTM5gpK<FO{4aY=^Z@*4xA&Gl_`$uCO8ej#YboY_Scld{P!N8a
zP8U4}mnO>DF~ObtMRTTMBNdag%<$jWn|N2?gypYZl(1Njsl-3{mi@RH6`cQ7rf{<j
z>givD@Yxw`@6C<>w!(#+j?VM&XAbittZ+(RO7J)ww!E&y1}E?oIZVP@Uw%|_!5J4i
z{fFUWiC(qbuyMwk`WU?Q`B23{cz~YEq91-}+w@KX&U04YPx7a0LSL)E4>ubt^}wov
z+;3IkT-n;{5jaWAS;z(McK+Db3k&Y0IphXce_Bo-fO#dW1%lzWyF)!qaDlg%VgyV-
zvQYa8Zc8~=aR&~qFmj54v!j$LGGYH>O}#rX|1CkEJoufVxP1ito;D$<0OpS4(~N?}
z!mq8D!3ux=Sp~z*W520i!g*TFz0vTFBvZ#e_~(hl`I~S;Se-{de0wbPO*niiH|EkD
z>_@NG5eOf)Uvyi5oxjRtlKkq&HTE>N_&kk!;)Nf~epJAf7Ixh~bl)Fl;idb_3>OP0
zm3YEt$xd^uuw`<{bsso?PUa6ky#MWiI5*fr{@#oLe3_r$+XH@8a@|QBZeFj8c7*l&
zeq22St7ccYIm3^?)=V9Nk1`3?YQnr+%q+_AT>NsZF1$+JPooE${|V1lhc^w1Z950A
z8MsDiz`{JcqRiki`mG<O;GYgdS=R9Wve6=G;<=VRj_{VwOYg*B)%#3>&hU?GLNO9>
zmBKJ*0C|0VdX@-m{BrNU8*t9u_f<mhB?;*~Z}?XCi=ka`lUiE2AFN0n-NX*xdwA<`
z2%NmzWqvEn?K`3x0SB#TFww$(+Di?AaNe)&{FJax%bwOCn1fm4I0f9HeZa^EzIt8K
zZgSeVI@8P1-XDGy;(lWs{`=B<{3<N8$huYqJGp=1BCk&yy|kkeX8+ugc@4Jm%6jbw
zn-5w4Cfnz{u&d1n=8UqkBgZ2?>NDa7UzSz65)A9|%x`psy~2*qk?sE{J(zt6jy-W-
zA_@+(zFs2^Oa8j^l59`s+RgQy@H6(}PvP)-Mc?n;@N4<1(|6z(`Vx!GaCq+}op{)D
z|JWNgc;;Ei$w%;^Ki+?+;ibfH29Mz<%U?dzz)9l6EyeKI$OoR0DeRA@#ndY}r$*Xf
z0KRZbZY38!rsZ|13(lneM41PhUy%y=0bijm56ytTzV=N13YXnEc{>Zf^g*BdBP^Ns
zO@Q<d&tQ(^8@MmqOw1Rax~Aq(1%C<LFMA2z^X<X)=dg2bz5+R4a-uej7Q$Pz74_6%
zQ)!#^Z1@uYD`O3~vG>HTNASeu)E*T$cz{7E0p1(yH*pdcDfsOf3lHM1R2r^~JQEcT
zKbg*<Am_V$(cZ2gxHU-SHaGl9FJa0Deh`?Q$P2f{g?PEb@$Y92EaG}S^(r*o683$N
zacmX-&JYk{4I9#Ycu9r)Wyj@Y6S%~Py_y>Cy}#-CdANysR%IRezi3x~orVv5iqNG*
zoQsiZ`6Rq_%%XD%@lBjj42m#y*`w|ic+ZtbLdW6A=4;k7F#nOg^3rg-(d+-$lTn}G
z+Xvyd7Lv<95D(;8y(SAg#4b#KgJ1oSFP4J)=kBl8!^K5I<DBrwuoCkp_<n1?F&jKr
z;?Ga&-P;+JD-5vpraaLi*h$o5kqV}r%6&)bt2!qq{n{kz<+Fwc{AZ%VO~WV3OYqiW
z^EMB7D#E~U3eJ7#`_mInHO_LIfIl*yuyBUIWzLu_z%2Aa=N;kS36TjiuvWlpD-&4V
zQ2EIpSpHe7gBfh$J<>A-CuUi?Yrq<Q*>l}62bHIfCj2Agh1z#`dQ<I|!*HUbpGgaR
zIQJ`)416`V+w(K*G?bVi2HUq^POpZwb+R(a{PVr3qoN9q)wK~6fjLe-{PLW<p2J3L
zKm0kG@$WO(yq@nFA8hfib3*|f@@P-_K3LoEEN32^vf6c=%zyhm`czZkb6xK>c;UQu
z8<G3)PlGKVgkif9A%z5(cK_lhQ8?=Tfi3so*+T!?WAO8)5zbhcQTKAwad_i^z3gq+
zsarrt8diDKYv~WKXv~-&g#}|AuKU5Esrmhf;8Q0B;ymDgwvm4%VXL4MA6?*%zss|G
zVW+~n84EbKBbQPT9uK;}cmb9WFbmxSN4fCw8N%9P2X67eC2S!y=i!ig?=58i_dQqQ
z)PYN$t1^-OH%jc2(SqMeF2|GhV{e*TD!|dwAsGU&x-9i|d3e@ST7b0g-F&oSAN;bw
z?kGQ;91)f#2wxL;{hai7-SV+AZn%iUsgjHr{kz%ET=3D?>`J7)k;%LPHkjt!$CE;^
z-7r5V3%qZHS7#@jwU(;75$@D>G3S6~imfa+z%`S*`&nSafVi}g2|T~>-^9W$xFO26
zVh9$IN%Y+Y>$3BF>4ukY2?de-W{;(@F1Wv>c{5oL)lYOEuYy&zCV5CaMzG$v0*<hW
z&8CI-R%pMChf~sj){^y->7P?OZo_FWiuB0(tK~SAXei8T$7Z|+tCZ86ya^vQdfGh;
zS2n&g@q;b6m<Q+KwuTA?f4E`0w*^_RUApb2?+I5{cU;_n_8YhRyLiAKdYs1=5idPE
zo@@gfnC@9xg$*lzT)zmLF@(EsLVlS*beuW7wfM(1vfexT4V51D{dHoV5iXwNi!y>o
zZ4*{We?0vlmumpeXbA^yfg_(Keo=!R!^)%S;d$d1e^0<?rOq;w_Ad(CP|Cxm{kM0L
z_FdK#29Lw5d)DJf`-99cuF}BX^XC6?!lFTkil|^GldJV~@TFf@J7>qSzJFEP$^>r;
z*}QEEZfJVfMUJ21>)hFIu!+vv1liuOmHMR)_*cLUcha9)GLnz~gX<5)hipV#mN)Tz
zB}^m7ww3gM=GPL@L|A&^mmqolZyv!@@o*%qNdf6E+U)nHQSk4rDy8f2KShOW5%8Cf
z|4EbaXb9@Qbpu}L$v8&(+tJZHF95!w&iQ5n{(YIE+6(r)x>7d<i)G#Xc@=&X<$h)a
z*0B(ra)KT4!%=@=rNI(<NBG#S_w8hTzth5i*9PwD!|#c}Jk4Il7I2ex$iP=P^Tx+u
zZCFiv&lI^|Fq*VZ*MvFQ;ygaVMb83Mncy6A&CG82?G9Nh2Kd6&asiUBsQ;vF{4d_$
zFO!ldamgRQlP2M-$D3Xa!FC6|3Wj0Pr<VVb{WVxBiW!9yo-ZFE_Y<ZD_6u)dH?_iZ
zq`&4)#eRPW_c@$yp+bLBDTL@Jz{|#4X8u2Z9mz6xVUOS^PUL!<?GCgEg{`8mdXw>&
z6Dy;QhQ%gL#z_6{ne&(MgEyFQEgXTVmr|Dk;4VJvadnt2T!+^M782OCqzSV=G1=q>
zQ_5Dl8^T}N^p%X^&1S{HWd2ZcJjZVen^qW5TqOD1DIe~KPw{=*;|8Dly}d#N*4N*k
z<p4iW{<X*gpA#r6y#mkn{r6)#98zc{<_$+BtxV9vR_)=EKCp#9Cp{g^ck%m6SNPG)
zc^)dbHFKrX9p)3fAx{Yx^_*6^3>P>Y@fjV%da@x-o8*fuIVKImP5s?%_OR{3V09<F
zn!eoa2p1de{nZYyU01QTfy-4>sq5fJ<{C~U|BG+$-uLA76baK8V4r3#nM&9t_|AeQ
z%&lXuUk-o#(&=*^&b7?7FNL)nz66l@cAx0|ngZCH<srQ??7|^3dLPznxV}RT9@Y%q
zoC^CESEtCsx_dvd$HVn$kJA+3V_D*|cVJP8Q9d%?-aULxBLco8-7G}LZ-T1VAq-}^
zN?%Cs{|tIO;=Ev;M|Cfx;1f3no?eB|<Wk9z`fu7G{@w{T`1)Oe)c^d~kNPgdDL2^O
zlleBpFLaMStRj2;E17>1YiW+@!u0Q-8<6?g<Dag!I{b;n$Asj6OZe_|3jU*B(nHR-
zmS}+>ML566Wq`~_!7im~$6@yP9Qz$`>Q2oMVsP+{oo?)K)2H8q`(Y1}GYib{!u3Nd
z{4nS9wG~p|?SmS3^1-fK#REwFV!n4tkrgggyBSW-|Ai|I=FD)SMHxK}9MECrMhlCx
z7%`LiB4w32mIl85Ei{qTbLw4-O_P7{d<>sq7O9`_?&kj)hb8NR1WEnl@mFW<hF6?2
z50d((HCm_n1MX~@lO@;ZcGav8d9X|Rh#sk5H`K2UJ%$zD(tVqQz1C}2(&1zEK3xm&
zvR1~fG&nKwz6GgYEY8Q2V&I%QM~4~sx8y`h1iW3oVV=Ank&>_S^alJUS$O3KOykZy
zb{&5G&w676Y#`Xm>I@GvvC@%xbpK7mAxGG~<-q^n@8Gccl79@=IMe>P1@V$U-5-y_
z%94Nfe}se2wQc5uqZmVue1>yOZx;x`$7IhIl6oY@sz167*5hb;P4@S(ga-{1Jmc6U
zPwLlY))yQ!@co8$C6fOo;O7x)c<}>$T@T#Y$C37H6!!<iZa+q0i}r!Q9{7o~y#YC1
ztstEzpW&?=yv#}eq@>2wH^a710)CIft)J?C*24MJfkTt<cJYv^dicAFx78B-nOB+d
zF&rXs&W((x=g&L)b6{zM^9y9Y2(7TY;}2_<e4-`exA~p;Cm(nyuZfwA-^J;tTdm=5
zLn>S(UqXUc*b@F4rI106S9EFM))Dw{>*g}Dz4bJQ0vXsoY+Z)TH}7Lh+XUgakyZ+1
zyr<|CXZOLkHyOSo?+^Xh%M&;;g6p^SS=TbW^Mh;EAK2*E?ScRIZ_S;S-*8Ga=Lngf
zBHk)a^}-e5TO5DGrLi>EpTN$Ut~bf{GHF^;bK$o=23yGMr@BU;rop$f-_nuS2dBUK
z^Z;g!&50rNn?t_I6?6FUR;N62ygN%>v@KvY<5&SQKhsi%MxTNgR80<&{>#7Zo394v
zC>|~&{qf&ySgSNV{5Yqa%s(MUQDw3u?)OQW%;(MbBD#d&2ib?@$$F*Yd03SQtlee&
znyhC`aspfS!fm=?m1O;PWaITxe)tr1i7Z(!hWH)Wu|ACTPqyJHQa_m9DIZ>i!>$N7
zk@|6n`OxWESg}R^GpQd&kIvXn!zWKM>XG_U^i0lg6gI8qG9dGvW4uY~F#M_i?{`uU
zR;<rH?SYkC7Q0A2(TH{X^b6)yuC*Zbpla^q);d^{tHFWf7fJ3KtA{H#Pz;gv?NZ+u
z%PUxJWpa${Z_c+Dv#;R<MFD$$m^Z*wJQMz@Gv`9?XD)Ev*Gz{G8C1-X`;jVEbI({f
zcK^*4a(rPSIf=Jn!^Knn<o?C#Lim$VSlCnG26_MP-o;~);jmYn)jGLfD5;n&@rJYY
zSgA<8w)M%3^MPM})ea!_JZ;`9#|>s+;}0VDE6p?fVIFWZlhwcDuo=Bchdx|$CzAFg
zynP!tn-1)|w3(UYzvnwkc^-DoKfy@at5GZBF@ziVsp3ez=PeJG(t?{K-zOY^<3=`3
ztH38j4&;;bXUiG(UuR$oG1tfB`cRg(ms5k^L}W^m>;Lj`S3ynKOkwcgFE~54S4{)n
z;hbL924B}0kRbafOVe9I)?533>FDah@g=E;Nqtj#taDKv#(#RqHo+$<1qYPL>lu_!
z=D|t7B$tlDH^!Gw7r-qBB|DG6R3#<NS@6T63@Rl!?&V5D2CUMbqAU+zXt?w>78Xk`
zF*po&&vUoO!KG8L5)Z*gZ$)?AfT<?io(RK+!*V^ru%g4Ck$vzPs_Y>*c=0LSIv30w
ztvTue*K3F$V}~>MmrYs2ZcCem_QJ1S=_f2<^BvWpoG^nM|Fu(auzjQ(KOAN6>!}7e
z^KiwH`~W_&6?xeH+_@am9<y4<ngXm!UBk}`pR-A(+XMglP+HeIg!d<S5AcY=cXm1t
zwZPrk?OEjW2>HqDXY%0dbfU%L@X#ZT%a7sJj8Bq+u;;G9+*mkWYNOl%I83mn{x+<i
zpZOm@?2{1n>@IA~q*S>V&hN8nO@PBGe=D%V;j8zDqv01Xl$AMQ;U_d<!SK^;)3#}R
z9<wQ3E7cdi*<RK$3k%#kT5%2D=c!{%KHnMAzWLb|{#5bElzhI^u%@MT30`w$y4(mq
zrpvLmf)#d~I5oo;M$>~W;ELASsrRsG`BIV*+#7pzwvNR6mtGpcXO>$$|AV<s<n^k-
zRQGj!-@<7W|M956l=vC<5?F5s$6-16_w8plpTPm2>DlCAg%WN`@_CkCM!Ea}Sk*0r
zx(0qY|Jh6w4h-5E@e-E%Ptc7IKIWwo^%|ZwQ;y?>{SUV>lJ+x3Qge30B8scqNc$D7
z6?Hpdr-I0YJeckBo?T0Ws3+{J_e<dgo2kWRc<$7d-4(DKO)SqJcuMvT7yfifVJ}Cm
z;s~rJ&yn#0KGVc@t``nDy)Ww(Y#^$AwHuyYEfgq*D;{P>bin)eJQE`A?>YVZNgG`3
zf3)BUoOx4dwG95P&R0hEx02DD;~D%mJ4c4Z#nX14$btn$ZpanFHmg@`GT>y5jn$9f
zcUd*w$?%S>k(wNM&&%tt6XD(8hwBqz9!i1i2XKWJRb4!sl^0x_3OgMPJ{<*Lc_L6k
z+Lw(?JsAPtjSXrc?Mn}FGzP*FCwQu!z~X#|KKjGQbvxFx;oyrBU!34s$;+dK@L?y_
zPnY3d<67DRI8wh(#~SvS)}JTG<8r)1%Mwm>v^FS$1NhJXI0-+`8&Y}!zy8nen=0&6
zdq1cY7PWHdk%Gq#?Q|}O57k}$B>`{HX)Yr9X%Sunyl~st@s$5yx0g45bHicvx~s3?
zdt+2io8h7*d8<3{G3!*%ZLs)`r$I6B)(<;Y$mh@7YLt`0;E2h&Ra)3X==IAGIA-IO
z0804ovERK{;S3+HU~1Ua(~{ByHanNNc^#i`H-|=w*uaNp4{as+yW?2SSi!Fob8jsn
zKIY#Xt_~l1F&+00uIf2zuK}~x`!kX4Q(mq2I{|N{kz*#?H)fSIRfGBBKip!5w+twR
zNW;_Z(s$V4FkQwIN8zJt`jG-~^&+*C2yDyt;+6>fx!zu5KODcTx>XW(aq70<ha=xk
z(;bFKeH0W0;2GYaaCtbR{i*&Qc%fM&QUUhoVUps3;~rORJ_VmT=yPfpoF!wqMI9d6
zBtydqb9o0-n!taRlR37-55EXdnZY?t3oC4}uk@<`TezrNkBJdpb2YkQ2UmtZonV4@
z=>1v00>2TXq1pl`yM|G?!S`1y-_XHy)%i<7@QW6@4k~y#M{VUM?4I!^fd&rRetDLh
z-?7;=PblDyTB`XZ_-%n@I3=v8eAhJ{erKC`e|Z4wnGR9+O!#A|zR5aVXsqK%>OmO|
z$4P4Bhb_OpM6N$C6CVN6zOB@mVNy@x0*a54_E&xTM@T)my^WEbw9h4R)t1yhuhHXT
zr2U7cTkS~wqgG$~y9UeXi&=ESrP@4{^Dz6VH<sUF1s=cN1vnu>ue%S<|M_rk0yeVf
z@9BrlN0wTrU@k6C)4#CyCW*CPxHCHH!W2AC-NV@f%TO);9)^oTEpEJoDZ4EHOv8nJ
z85XbMlEIaWD=<^y&*Ee_S~uH~d>$W?v@JFj&W=<X-3p&>;CK}U3wv+)%LpIJd9xe_
zTT#8AS;y<Ua~l}~;q_dOISRxLG6S^yV7l_3D-(#DdfxYPglR7LuFt?Lf`Rug!OvH|
z1^$5>c3rvY2Agb)4j6&2T%z1^89qHqd5iQ{flu!&i9bpxiz59wI9<El6?Pb8W+L_f
zz5O2{2e?Yl9DhxW^ReX3C0kf^m~AJihtm7+8aTlTs*P;<a7U*6sx^GxIzETgue&e)
z4Uz3Vl0ThI>et)kULkup|MtIpQomAv-rMd1Z<Q#`BlU~!Z}?$nn4gD1jMT3KhuThG
zgs<H-5+~<#R(?&C75v<WPFf#MFmm=H$2(vCMoJgH)~L>D2{VpeuN8z>m<MUd{vWN9
zdcO~TAkcN1?EiyPgALo^0*!T^tMGrm>K{mbk~ueSMUFpXcI^{+Ugn3ChvqdnRX@L(
z)Efq)%U8VMogJHW=3!Zik>D$E$L({vi!iOzz$4NhgZ~w_ljm_HJFQ-m?JeC}?wEp8
zVr+hp{z-P!HXecND+eY_U<%zN6Y@OIo9ZzpWB5qV-|jwm;i(h9F1+$XthXQbS-+;L
z4L9!yw*Cp9Ob>8Ygi~dfZF^u&eDm-)+$MKsv;(ek-StQs{%sNP=NruYQ=(Q1u3`P+
z^acK`{p$OESVD{9%2)Worf(}E@bhBLnUAoa`~@aHIAY_q*+#fZ?&d*W_$5od=R5fC
zz;0(+_>hvQ56M5S`$vNgPU!DhXo0o+N3O2+WBp~nZMhw`9}kqIAn{FpGehv#poNo*
zh)XlZ&XWGH&3PlR48P@7bD4&9rw_?Z!+RJFU1#A`oz>m5@T>a_6RR+_?nSXN_`_w6
zNisfb69*W^VYjPaFO&JF`%ygaAbd#hm*W;V(Et2~VR$@0VU&z_`{?WKJ+P7D{XZ=5
z+4VH%5!hwhL1R*%88?mx^}+{uWKBqY9;~UZAluth;&YPJ%ca+*ORcc%N~F3sOriAo
z=oh%Xf<uSY+gWxRtq(Ax!A@NVm^w<$r4HVC(7fFO_7n=d`5zqDtKVS-EA_w6u7qtJ
zQqCL0iG4>t6~M-`*G$Y|X<f;cR5<qShb1yU6^}(SCcwg%^OjlRNv3CRx8WPSw!tgt
zkAFU_VWF_rcEy`(aB=;}#~|1~?^Wa&taV+p+Xs$qz7;hN-y1x{>jj?~+Zfjc3+cAH
z8IpW{p~M0BZ2h@}b8w)K`7RP?Q>uD=7XJ60b9Xn12Y(tn4R5{{%H0figfa<Bz`A=L
z@wUROSA1!t;PcXM56Sua%&LcDKU|%`o%Rbp5O#Xy0Q{fS1P3`k0uMfB6oBss-Qy(Z
z$Duph#s%TnSi59$JxNVDQ1ZZoHH;}UFm0jYMRs^4>j58mUT*1ErVk7JWzTVbvc2u?
zYWKIn?NpAr<b3b^m{+_77D}Xf+y)<_)Bm~|J}4|D+63Fi{H<anufLuw(g2UpC-l(6
zjnQ?5Z{P|hin&d&w5~-FxgNBwjAbZc3G0_-rLd3A$X;6bnFDuOF&wfh@dOQ=Dsx8W
zF&tIJb&v^;;VG8RfrY}Zy3@f&PHvGW&l_%=nhm3Z&EqoUli=tLIZsIYN4cA7Zo|*E
z@h6h@H<e4)M8g-%+Fp?MYu}iw+=PYN&NouP^hygVq44YXb&PAjQU6p<t6zmV6_2iv
z_7BHCJM9jKow2y^5Al6j;;rZ5Pd1D03-H@VZ(B{^wT9=3bMWO8e+=~CU2g~f8-T-H
zHyRnjtg}})_Q89<X_%|Q+Krv#BQQtId$SWThcv}i5>J>kyhNTa-F#5TViYbr`q_a8
zK9c{Uwjb`=c5HSt+;VoUcnnt9S~{}{zS8*NE6I1W?6|sy=Uvb8)BZONpO-&<bp@t0
zNvE8E%{=3LN8zjeoqy-ye0D0|VfeYByzUgd<nOZS6D$y6FTVueY3ZSAf}548Zjj@<
z=PtCh0^ay&pCjq7N4FDcU&Dt@Yo3yPVeM|F$FRcq_mmCjzsHiNnR4L$b~%-#|4P3*
z#XW$Fipq1z`SdZZ{SJBl*qWV(fsEg-H!2)K@W;umGGzaqK3(Drg+p=<v(3U+wN549
zhT~6tx!wrpNR6c4gWpKJO#2AiN^j<lg_kZwe0&X8vCVTQ!18b3TUWyd5@~k};ga-p
z@0W0pCTr4DIQCQ@OBF14zLMc1%>AWU@Hrg8C(hUiJDS!}ll<S(EK%fnWrvhl_NQ=u
z|Ba}2m~Y~BM=3m-a4Lj6pZw9pcPtNHrF{`H0(%xd$}NJMe)t6}!=>tGl{ql?u91LM
z`11S<DH8A2@NnnCc-|<xaGJz<_w=}P!*Xu*Zwg_SqxN=6@R+VeM>edK_SH@Wrc^t*
zlm$<-O#L|uyEpmpCcw%xFUO9<^0Ajx;^31fzB)_8TcxRuB4OuNu`9B0s>;f>a5%I2
z)C_r^`HKFbEN^&<W^P6j&XW+Y^@Jm<=sZPX3bl(97vW3$vpq?E_nhN4Ti7MPd|3ci
zw4~i<1`l{`SP_Cx$4f*R!cA}Ff|=llEuCpvu-|u|U}pF`AJxDa`04eB5gXtEcLRoF
z@Jl*|NOFFE|8!OSDE!lvlYyMy1H2!NMBsFRYYZe``|Pxj5PaSsG?qN?UGY6Nh6nDf
zEsQ1o9UdsWzz(zT{j$3kuK(|z*=!%yYdL4w$@Al^dky5~;rQLENi*<~71e9M;KNmx
zNlWl+(fHJ#@X$S5_9^($RoUWJ_<-z1c9Q>KD)MU!eCD0~19E*W{W~=L5q7y|^I#0N
zd>29c0bYA%%hL~En)5$d3>R-Z&O`DAw)Hy{!Or5xvdI2z-_V+S7oM&d&m`y5Wi6YK
zdoZQu4EH1)dy|6Ff%wwI9&-NhIbQF+1ZU1Hrc$9lib{ky_27~l%Bi%lY2AZmeRz+y
z<}MbPOK>0KSvdLG)?M4-h~#Gn&%kLE|5E7S9o5HFRbUFA=P3;EU!N~_N^s`YTrO((
zl&y*15qNa7F&7OSbZPFP3@lQrp8gN}lf9Y#gCM+-A~S6x;s#xXfA+x_JYx5fdL(%J
zD8(LlPW<p*GM?gveY~9Ty#C&7^8Ee)pNsT%*iZ27qj~sPH0OC1c;8x~;5huVzQAcK
zoH=+(kn~5uHS^dl@QQ<E9_cUVSAnmWdNIG+nLHum8@p70cLg3RbQ2)$d)~2b`wibx
zVBJT~kD4KY#a=k^)N(Ev-v^w<bl>5FGQPQFd_^j}#X8}o$qOQ+y|IaC!+JP&@tp7k
zOs`xe^%2gYb<bIVKL?gSO@=c>Rx-))_Zg*qO@cXJb?zg_&*GT08V0k4-r^_ym9#x%
zPbf^?ZJ$eyce0?NP!nGDw8$jm8Lsm_QX9T*6U9vrcfPs*OcCy$TH@LUUzQAWIsp&y
z=<MQ!naf9S9D`*Gf_L)4=NP-qkHc4JixbH8I}|vTDgYl)m54h8*S+0b%?~rkQn3lc
z3rbe4oN!{<zU?Hx#QRk79+)Qg+#OO6f@|+mQovHQ6}RMIxpN~YS9?%jWAx%h;DK|o
zl2nL~Z&pqq*Z;i}3=h^354e!SNv{9(YVjX~uyS|ZZZ;D4w_ERr6Fg(?ljAdX6clKK
zZB$}X$np8E+MWIiN93I2+5$6}Qy=~TOXnKxA@kui!4pQ`;O?8;8SCgj4UIg<FYwYs
zj&$;Uk4E!}m``xY{=U7WK6rfRX?_87KQHGd`3)+rQ)O_l(DlqYxY?z1Qz2~WV3$G0
zv+(mT=UliY{)zA}xGH8}K@1#o=#&7to@w?(eZB?z*it|F0iUy4>JNe2H+JQA!MBcB
z)7*rIhmu6v;0l$m9DeZSR0rV>m}}5_={oFpzbL00wi!r0d=cKO$Cxz$pZLE0ybYY6
zS+|e07tfl1!Vx~Zyg`s`@8ba5Q<8slr^r+C{hJcS$am(j67zWBTi9N1>#!-j>qXYV
zauTnaV>%1BwsDC42j36BE_nuSJn^OYIqbtORKx*$j(&ao20qbR-?AGvj=dpD=KIo(
zzh!2+vA#TVk^ddcx;N2e3SL=b$|dbLZlQ1)fwRSuvMb?XmzVKF@XkyHp)&X<7vJM<
zc+=P$ffsPWr{2acxSi4A37Mb!W?#=W!Jds5a!O!!srfIT;B?n=KGMF5?#;bV;c6XU
zE^>Tq2MyH<;o_ZK>16-pIm?Z+VMEKHhh)9N+Iq4s4KBH9C6EbQY5yq6g@;Eegwo+k
ziL!Q*??j!Rmjtt4q`P(z-gZX*K`#7AmFj^FoY~gSod%D6awsu{eZzL_$$+UAFSZ-Q
z$!`kN$$I3w+UHSS_+!-Q!xY%-WebB2?BN-}8wd9`%k4c4uNc1g|N7)#sEXQ2SbA1H
zlYD=1gUwT81(^M>U-~UL*|ySO9v+d|#uoyYGi<2b2b-8hagqGKi@SUIVCGnkbh3Ub
z|7FNU53defNePEtZeLg03K#!d;|zp7+Ftn2{KEAdEV7fVua=`jjpyK3JJS=$`idp~
zWbgnSC{Pef_P2i2KleAR_(6&_5)NLYlFo-Ym49p^$D8rUcDx9Fy`!Dt3GAGqE|LTn
zJ9#Y^!IlBD)XA{R(1Pbn_^;qUgKKcMrK)o^Oyywh>jl#oyqzNFgZh!|m@BaD=BSBR
zaKl@sGAB4Kf3s^bENiUy!4|f0Z*VS!uPw*>o5FO<!mD9$@xh3S6EJ0~)*R_SriGot
z3UH6+Q(q5QPmJrLAS|=?*uw{&lPHed2fxf@Uvz~-HE7bfU~kp(Id}M6a@so%xc|P0
z*Jb#y&r&BVENWQm;RMqTbH!|hlZ^guP=U7>g=TGpS?>A&I{^<wMli2;;dsK{gowfq
zgjV;>!{^w}1|NVuWUQ`C!v}+S!Z~5b$Wh~E*u3g)Bs(k-rTvKH-#mROh8Ffa`Q_C(
ztfV><O$Vpk*eEyxdo&7fpTYMpUAITc^}-+6^8f#R=hH8kL%LwKVb2}?h*NXCc>5l<
z)c?guzAwEwD|GlRJT<9srx#`{U;5erhnhFXcf+|p^@|_iy&ea5kndxUpO)(X0$+Jo
zzN-!1r$V{qGrU`GPiiCVvYNzM4{LD8-)n{~k6lu#g{ds&*=u2@%8dq9@VtucF7kcw
zmnVMsRKQh->r(!M&-cnUr@~DP#<6wqr6YQeAHaQuYYd;^D~m2Iw_sL{;w`Q4okFvP
zD0oLdT~q_i>@mLeCQSFiJiH0+cI^=lf+e@T-ufP%Y~FC*4ep@Uq5c35*U(6Lz~P}w
zL0{k$1`abDxaM%sb#i>e!W=<Xu*~0Y6r{bb5V3q+SpS{&3fUheW5G~;xS)O2>l>WZ
zo0p;i52Q(4{Q>`qe_pK)^FIk)Y=MXSj<zYoyiu>_$o{u<sV^(S>8f;Ir2lMA8SXs<
z>m0UpCGFp3aXBdt7gUzalKv1qxM(5>Uu<ZfBKx1tdN_v<KGxzs{}TRmK;ttjT&q<u
zSphqXr|sSbzv57xBj4ZOwqIOq3w$T~{51LgzDAq5-ex%4`H}l0*y%x_-@;F<AN;DF
z9>a~>UuVq0XGOP6k>3YkoA}W%08dyj|H*<s9lgNT2Y;D(FcAmyCCv$chczlv#uDHU
z1IM&F;Y<EKPSJ3(lY@6XY@*U=7Ym<^EPqf7$F(y234@zo=#*B$G)-$m5wIJ}dUQ3+
z%2Q!O+Gpe9e(@AuZN6=O7v3yf8(RV&2-NI)2;biK{dEQ`I?URU3BT;SmXHMpEw<_9
z!+XC3RK>%A|KsSs<GK3&IDi)w2_XqtWhD_Ri6|MNB6~!#QubCN3MG5X2pP#Hg@}>}
z70Jpbq?8r;R@U!zet$k6=YH<K=bm%V`@BD_Vd^EYvn)qqJpAvD#(Q%9TpYr>Z^E}5
z8(-JLn<;rp{a_u>kdx&6Q;c}bT!Al~9F-*Z!v?m{OgmWXg@eQp%;Y00aRfHJZMK`_
zA9$^_Z&C`bY5U8v3R9c6Z5M(M98h4`i03y_GeYz*{Jo8q@-VE!@b1(Bn6tfP{RnLE
z_Y|intbf<rM-KLKx-KpNmtNuYItg!xn%%Y!?z#W{KNa};D;^#m_`K2GMKzc~Y+DyE
zET)L4UiekSq3^rl-_6xOP2iTHoO({U)IZ4PGF-pZ(z6o||ITB51)gsbv?j}sD%~9+
z?~m>vxf?s+eL7r&<b6}}k8Oe-HkQ%o%!WDoc>XfM$Gay!=D;U6Fcq=Dy|F&;N&O$R
zo#8b-{A+=+nY^#hOa2um<*HOCUk$)DmXjw)`JZ1MFGzb!Z1cr7vb~R=4oi~u+j!rJ
zv2F0!<+l=~{jQK!?ZOCOJ1ST}`ZsJGQFpe&)2@||N&luNce@!`K90*@fb_4!hKAiJ
z;Y~7(yrh2}l4-2587?#(NZ$u@MG9K1_T&9;Z2f?=hkNQD{Gvelt-nnyq`!Sy-+0S1
z%4Jfub|}NK-ul&RaPEt5^!l*E3A(l=_%6TGHbYoPi#p&RoMo|v$_759_$=WUoE#ZK
zX$P+<mYgNaJIw4^_lB3ObS}-nzQb9|H(@s&jh$q9W)qqJ$oDPxtf_rduq4xqg(x`L
zZ(?v74lUN2&48oVJ?AIjm;2g(WWoB)E|0#$BNNt>&tM79mFJ`IUf%Js3V6f9wb(H@
zzp>ct6@1xXHK!l08{2o0e9x2KcJ1~cY_#!re+w+I@4vV%Sbojs^Lsd~dP=PqcBrT9
zB;P+Jsmw06!&(8JAIbO6*OR?c9q^Q}qWU-Z%aq#LcW~1Cr)pDhR<HENHn=HUU738J
zwcM7;{1$ehsX0Zy&)%MlZf=1CDfQ*(@jbWw^sj-}F#myiX$Cm=?A3}l@H6|!N>*6g
zvcBa7yxrsPQ+Aj(T`Id4E)#z%!Ar_-j=U>^FRg|Plkv(G>+_FF;PbmK<{pF#I;h!i
z!EV+@F*30FX{*KCuz`~(qav)fWsKbw4hwj`RRvBEl>Y4o7yk&qdmauMa-p_|xwYH;
zwP0__rY{b#_TlV}<omVD6AABwaL`Y#G4lOe`<A_)IQ%4F`4ahl{$EtF_a1nA*daqt
zcrX2g9xrU}&)7r8iv;M|e0IRs<z?E)c%)X=R0boweEWjt4Ok?6bNN<ckE`c=U`G3a
zek%BqO;DQ~9L4i@X1$NhCysjO0pG0TYTii7FT1Le^{etq4*W$qzvgu%GG2Ag*Eez%
zj(Q<09}RoXCzVgbmzm{{k?~GJ5AT5=r2LFYbr?L%lex1KmhzJ?j)CnrRLpk4V!s7N
zQsB4!FDP1J_Rw8Isc_(Y>p&aKbz|+(BUnMdmEsk=VBV3M2Y*lgUS1FL#bhQ`ljVmx
z2Fl<we{7>)!pX~%kri+egIxGWc!s^EJO|#g@Hem%wmb2BARBJd-cJ1<?sM?i84g$K
z2Q9b5d_|745%7N*?$^n9Xv@D@X(u@2cjy%|9=d4zZpIZBcCfcxfS=Q)Z?uE^*Y;of
z4G;H+_S?gU{B{qm!rqU6@6dzI>*U(W_@-TA@3cN#8X&Gg3+Js^?ofdXX+o75;I2f4
zX;t{Iu-_Y2*golz2|Mik@Nga<e5%IzC<p9XBC<~ezUWoU#|JYv+&>@;t8m4$iNhr(
zda0LTs|R8Sgy7_W`NS)5W!2U#!f>GC<Su7;Z7z2FT`%IXl-5RrU_sTdG%fH<_o{^-
zylMB(gH^Cn+FK(M-?T$nS+5cvU3)Wd15W?-_DLjsBG;uM5EctR(i;wc61F|<12bvf
zHPVNLb9M@Zz&y^|Z|TAp0;wL8_^CmQz?gGzsMn!Pvi_0xOjT!Kk!^hZ-tcmh+x#I|
zYfl&pS-vBjo>c;#O!2yZ9X{e>tHBNj_Px003y;S#da%Mg@;Tc);r5?_K@9Mq_0uh6
z`AY`k#q{us--940*y2V`-4^&yZMMG)+<MU9+a@?QIBc^GeDIty-S5xnPl-h?+r!qK
z>xUNLs1|o0GC$giX2xI)_Kv;mdX<!0miUgsBde;vFTn?F_eJ-@v7Rz>B))5jZmzNi
zj*Q`SF@k4@ufA)8qxop;jo};bB!7K?`4^^UwBgRnSwiLT(m>p>A<SCrbN(qj9PetT
z314b-bkBmnt?=pV!bYQ-DH-rU;D+9_utaE8M=;FadbL>#9;3|t7X(L~I(0@3PW+g_
zeI1USe0!427yrW^q3j8B3#YzTf;BeYw6%txFEUn=cr*j9o6%OV9o5%k@^G=wQkDtK
zurcwl0<1l@{O$rA&}dsO4cmFm%$<R6jMe9pc(vjuE4$R-J=bDIBw_C<kNu}$@8o0q
zq+oU1V9k^8^cU(p60dfv%+Es%*3(u>I|P5-^5B6eyxoRr54qp<cCnQRz=9RIyUFvA
zKzDI%FMMz0BsT|~?>fw|8;&sh#Kr~RV4;>`gHO1nB=3a1s%cHO!o2CFk!<iAF}VOL
zSmgF~CPuizu`YhS2jlM|tF${{JCQ#%tMGqy_2D$IZor1IX*fo{#-ARZHNPc31t+E}
z-6hZe({GV_eenL9!rmKE9=^5T=QFIOGQIi-<tOu|GMeCewYpy`@T_|D{2SPn`Q#Fb
zPiW=JWqAg#xo!AC;u+#Iw#b#i(QY+%lkoBXqR;2UpP#c>llX;+IHW3q!(vr_w!woZ
zzyFAXi>kkmbii!yWXvOBn-HeUB!0wh&u6zFSl{005{VzV{h+x%0AApEYmpECvd&$$
zgWYs)X_dm^VJBUz;b&(Odr1C=RDZEN4VYd>u<-%htJBzi4$i;XeL4;vd1^bZ1YiBW
zB2Sjz*}8>R5$1iHS04@w{43--4o9lKuZe`Oc+J^M!6_U0>&W{jU?s&*4ECx#Sxw$Q
zcPtbii^3hzKaP{}<nq#ARRZu8Gm4|+eV248?F%0~F_T~E0*`oU{N{iUb=5o}@4JW2
z8##Bwy*n=-Ch-)T49X7ffWPi=6(#W&4h>1I+u%D_X^)(RKkYOerG!hn7!Rt$I@&{G
z8(^1{MiR2H_ZJJjxo*5)y>$iT;U;mhn=^3Kx&LycU}Vpa{0a+foOvh>KlEv+9EVo|
z!g(d&Cu_m)24Iu(ew>G4y+N~uKG^;)cbYK#V876o4mi(-Hc<qgIKNr69bVPRW9Nsj
z+O(c*hH1}7Gn4j<#^>TIZ{e(I(RePHxz_8(OE_`^QzVH$i*z;1tby${3mHlKXcPP2
zrb3t^!)h}Jyq^ATE+5`jzjkK_Txs@<G7EmTq0^7VgIs)(uAL5douCZZ1jjcqh6cgn
zK~~NrKJ2Un<MB{9Jz2(KH+*AjvY9vB^1aTC8%}?lTY3$qRr_X1+Hbx4UEest?wOev
zN&C%cA^o^5{GW^d*b>@%G&Kt57hsDwFS`H1HQ^?~hVTWaGX^C7!S6~+*D<(P?TZ{K
z_u+0_JqjP(X#Z*+zOW^ZK@65_qN-YeEgG!9iNoI(eWX_45liu9A$U4*r^FiEebAhD
zAFLRhTJ{^>e*EPH2AK7US~_Wunwziq)5E_bKJFpw6WtS@yViyGEzf7>|KLH^&h{0U
zx$Qzci5D=eC_C5%=gw!kllT{RI%BFHc&U_ck;Kp3PGw_ngRKn1r%8OChQpQSPq2wa
z<P<so)J;PI`LNM3`({p<=dg-KE*$o6QjJ`X<Bzi465*xyL9%RcH~*2d$#8i4_7{8L
z>Kvf}fAaf?i5zl&%qf*z2!z=>90bJRr@}LS?r_fP6f3#^9=JFfc*4aG+!Kz&j2VX`
zO<@yLX8%*L9#x^W8SE?faN`;H5tFQ!A$*LY?H_qwa*sA;=)*E6<-JM!c;?=<z7z2C
z`eJJ}c!Gw3QV#w!%k`Z+FE=IAcS^!sz0zM4;9HG1BE;Zp$Newwhr27}-?G9>!{wS}
zf0Mi8Q`zCOH_m<}&sXDK!BQspNU&ZrdA`zbx0$lQ(rULG$^NNSUrJc(#P^5CVWpbz
z{mBA{4JZ$e<`*-9d(wq({XzNg;k`n}aMilI!9V!M{VD_&<9s;J+WdlbS)Znp_$oR|
zsZ)!v&hN9_j&RMHi0cDz>?$vfJDg;wnbAkeuLXsW`epV0;kPYtj*7mI6P$BxeYOb>
zi+#Rk4O{kpVSWy427Aoe!tcfzepbPQlq`;<zOr!iUV8$E7|vRg_W6Or$6Zfh=d%%C
zZ^9ZUyJ;W5EnS=217P}$r$>_Ex6&3`-tbxRK|6o=<j*I^Z^KTrZ{u#k-6!a3N&Weu
zZ~x=#aB*03IjKKSjj*?S!l&c*O1Z+8iN0fwu)uP!7&$)PuWqysa9z3h6LNfv_WfL!
z;q1fXd8Gbi-q?NGlKehP`T#j!?YeSC#;}z1H$D>Yqj>bB_(k|wVRR-rA9aeE3VQH0
z9@!L9U-wOC+3CRDEm52{uz2%U-?Q*uy`wB-dv~5QJXV9lo(3n7c%T|{&#F`Kn7(kN
z6>M<g;SpKbPMe3B+>Zh87*vkH4^^vZN&OvA&+mK)j+3PcSArE^ja2P`zw0SGorBp^
zYod0-s?&dGbm7xC__FBW(I($XeV8+3-D^91@AIL{m*C`ouhP~#@IF#JqEGIZ#r2;}
zt1zvT@8=8f7^j<RBYZ2;H}fjITm2wU6TBWTvzHvNy?47}C7hkH$V9Ghgc+wpIn2`|
z8EX%FmA#C91dCG-1vta625lxXVAp(;yJY(xt}xTYz?)>}J<0aR3SAFH!9Dq+f64Yk
zESi<>!3@F9^CocNtcc@XSiG>%g&f~@&*vLe;HjnqhspVq-g#VD8MbgVdq$pzJo$UF
zaxk;O&BBXty8xs0ad`1bsi+>@wCB?G!|<oFW&s0u{M>Yg1k72#oTC9>-X-^JKYVb2
zKAk*&F2Ns%_Q7LmC-$hq{(E`ndEou+=h(>edTpSJog3Cr^+_W24Y$H}kzH_W^qpu$
zcwxgCza8+0+h1Z2!85P2qPM}q6kkJ+z^~t^yx0m;doj_I_vH}(+Q{Een2(&fZH?3)
za?5!%f8a0EM|?^AV|<gv<&Q80ZJ!=_A3MlqAO8dgi9GEh^+~(#DYMtG);9MBIXG;I
zD&!R`%b%z$2?x9CKd6L@a$V#|eY8;}+_eg(chRUh39nZcyhwsIyCYM`_kmqpJ<%y}
zLaozoaz2E5bt*z(W9DTVay?wfuZM-hYx)EC$n}zV@FeXHJZhYB%M=dm?Q#!-AF|!t
zK%OW2Gh2iF;8V-ef5`pyx^n-;+c2j%rzg3;TE`5WykNK4ZU<7I@Z7$p><v4lKA$G_
zgF!xHgfV>i`;GUc{>bm;v$_ZiR+^m&gJl#HJoR8X?yU+D@b|Ps4|QNQhrMs^zz(`D
z4T|tZYm2gAcu+XdSq0ww{ZMH#{H8m}|0JBa=i}oC@bmMThNs|_N0ox4fB*DpnXNP|
z@<NmQG3;tuC4U?)tddSGfqlFiv=77A3O>d?fj1bm2uZ?Bd{xZVFpKC%8By5f*IC*c
zSWmixQ4BsXCK=KIb3AQ3%?fjO^g6$T-}W_gvcozX8|OOUL-}<Fncy%VwQpT;!Oo}s
zJ7F#h-mhQbFFP`)>0qkV?7?qvu6}a;cGy-o+ISxRL?75i1$Wyq>MXzxWv;ij!S5}9
zXl_D#zjgR$(~ovMUrCJzNq;|QfMVf0+^*JLLcRx_UJZ-MfY}uoEJ%OEo!#JS7OZiH
z`U{ya!?0YM8VWPAcE9C?YsFpN!r|ciAC(Wl;%$fT+<`a#rjsM{bGRfIF9gAnGt@Pt
zf8`lkV($m*3o1M%{i|eN2Zh`4N}}8$(trCb!LRED(-gb!C;c~(e<S<7;g%%l+%s@h
z>nU|RILWgsK?AOl{>$qC2iAUKF@UKzWF5H-E8khCBmLQ1-F~6=a16uZR?>g}Q@T6V
z3a&BY*?1EcDeZ8zhF1+Zk*EdV&&-aSJHoFH%mtDDzxk-la}W57|3JVaxQC*lg>277
ziq88n>|YR=?gY;XQ7@OkTa&2%sKB+a>szbf7x^}sXW`5fb?@K7Q9PQB$6@ow3sr6K
zHQ}{nIXE(G;n-)GTI%FS0azi6mwO0Szc8M?4=!lrPyGtNE>)@EflabR<G#TeJ0i^a
z;JYq|V*bLN@l&oGuok^^Fq!Xmr7KjG3udl5zLm_szjd)ceC;E~XWS(ww!z9m&XyZc
zZhlhAlFV05pL*f`2j!Bt4_qMmyVxhrpZN#tHcIr7`G3DICK&&M_m1<nllgzU?+HmP
z!j=#BpBIAds%;d0!ota{r^)=nlRKALXW-~|?#4s#<_$;pe}&KF(A1Fmd*1gN)+ga^
zJ*MMi{`fg&@x7nnJx>RPPQg3&D}CsP(=N>lYQwwaoQFE#eJvlkbYZdmf%kgg6A529
zF2g}KkCWQqqT0G0SKw)Tai?~8;d@IonXg}#X&YS!drjT+BlGX)3*2NI;A`PAHv?fg
zmLT;S_^#?z_q*`k$J_W`!b&5qixF@|Gux30Sj1ELM-<Eul1%d)X1c3slLUXW%-UTF
zxBulaOM#1Y`R1R%!?zENWWjGH1u61j*Y-c%kKkWak9rE={Ekg}#jt`_*0(H}dhNs6
zQn=$GPwgYv;d<Y@=djujhLLzU(%1ZX4SYOwLr4<bRqs>L3h!Q@NsfktZpjvXgkxI_
zIPSwe%T~fuaNnWbazU_T$q?%d93dRJBN(3GnNC=OeWh*rZo@6wS>b=+PMK3)_u#z1
z!C-chzo@=D`8sU(P5BxZoN=vI*#}ODwe&a$mygI^v4`m{*I68b!(<9&9pNeS_AfGU
zZS!SyYnVUFt5+6&rrpVV6_#QTF;Ipr_+*p};nZ^-N^0=@`Aqf;a1YnS8!h;1%z0sL
zc!eRLn&cZhvW2@_4`!2n{M-tra;yKU4!8VNEU|{=s)Syghf7ZDA9R9ehMV52z)PRz
z_+4OrU6Bkmm??)co8+H*sAF0$4I4Wgh`tG5I>GHA2k*DkiHv~h7|q)0;p-LG^poLt
z+C`5T;L%G_-I*{=@xcmeSXi3o1IeeAz;h#%25vIuJzE6xgg6)eYeRkflIGYGxH7fk
z_6mGYmcOzJUN1Zlvk1$-jVXEoYtK1dS%SrDi$ogW(bwwtzQTWR-C}QsS(6x_j>9M3
zS|-1Ob??u1cEV>1`GelTA}%JrpW!5V^E+MeN4}tvSFpe{o2&h>)uxKT*YFfo$hR@r
zzmw~22E4VkyzU1qC>x^u7|#60ePXjU@*yAT)=P(t94(Ge!7kyayR+enTkoFmz*Bs8
zzCM7ha_DmR!U+~ns`B963xD=rgjFAh<~@ObQkNVsh96M9_I(PkY-`K6gySD?O3#85
z98B(Cftd#rxykR(Y1Hhz4X^(!JV^HMB*#YD0GK9bcoSLPZSS6tP*|R!Z80By;5rZ+
z4F93O?p6wq*d1lcf|aLk2IRsPbvLOW!CbBLqJ^*`PxY1x_#oW^*E9GRl?%f&I4fIX
zu^f)943DURgER%1b6}-MT;6pswRnF_0X!Pv`L_@Ls??N8_Q!bdi`fCV>vhC6vi)t>
z{jaiK!S`05!^hg;+Vl9UO*peGn7#upPS@Yg28Xhjt@XiWW6P|&;Jgmo+#$FtP;l2i
zc$e1k=iPAimO#4w@RzEDaB_WnIg&#q;MV4rn<Mbw=f~s4VD;}|LgfB%`eqd?51;JY
zrAqD(`Gb3JDZzc;+_=d4f~JpdP=__E4vDtHPrgMiX}~<k`V8K~?kZlMr(v&ImLPJy
zxNU8W&cRojtW3!HIacc5s|!=-bJ`cdj8X5~^x-2<Y)+NHA?LrUUxG`{aB7kJ$!psI
zC39HF<=G0kUSZ6a6kOre!=|+4`~`+)9&?8$8<axH^~yasUmgy7@{J`wgkzNt6-L4X
zS8pnl`>(q0a{fa&ex6B>+<)0|j~-^iB{W4F$ntIyeQ8hO+ttSy5@DnIUGe4cR-HQ&
zN$_yD_|BKGe>LszXt?>5-L^XT`lhV3c$jW6ed{N<`1Y>Wn{bn%?9U$f`K}9@ez0w|
zq3sB4INA2(8mw1($LtGina3F91z!x!9GQYSmS-N>z?^~$?`L3(i^AS^u(t{0+5h07
zEaZoSnbWnTmSOeB;!YRg262}P%BzUC9RC%r4hwK(XHvoWE3coQg&#Hg^Q~j~QLBK@
z$KgHgSqx-(SzQxK8CYNAR@6U~$Nu2jD-8d-9_h0NCyvPdcL4T#`D|qimQQ*0OJOs7
z;C^BY1H70|!A1oK4ZT)ngJ1q9t~c3=@s3N@d-lK-)<=ZD!vc*l=|b@DkZRRl*ezWn
zR0KY3^?YFf9;wU=mV^CX|Dx!EH<$+aorIqc%-`yR%MxkV3}N3+uBcD2=n%4i!c$J@
z&cmAxm|QJkTGhyy7w~*qppFgvVd>75TKK)*vkn*7X*}Dr96oi*x7iIor5ClQ3RaUI
zej5l&*yV^lfe(CnRC5>ZoC+?kfPL&FWgZeI#nu+XiBDF<GGSTDkeE`~IORY|J{)#6
zA|n^3ubIs*gw@vlJ@etCJUsm6@Ymh`cQRq`-6QOku%C&ISPm>^C(qUls|f3=C&1F3
zm76}mOM8y|NrJ;^I4Fl;{ad|<ZosdjMtdjVx`7&MANckz7Q-2M{jbae5%^8@uepsj
zn7<`@qe&R{wS4CM7v+C+c)sq2$F3F|ufmtjt}wF0eP1017vY0bGCWN1$CZgsOR&+&
zduJHnx`Wx;Wc{)!7mcXlLSq)yIhgx+Y2X$(PN}nb5*{Bi$z1w?{zv2Er$1n!y_>H6
zfxXgy9wO_PJllC^4%VyC6e8<4PY{1H14}K_=1s#7V=3#t!n8v6X|u48(B+@w@bA5X
zJY@aze~&E>z)jY-cYcRGK0g%bhs$@##E-yPmS+^-!OL&Q{KjFas{^bbV6FZG8_4>P
zGb<=PgY`7&M}EOOs$V#j!Fv*4Uz&o?<U2L{!?bQYc*y>pv)uUm7W{YX>vZyan$WkD
zUhs;<k2tb_S>YxJufa^d_gTpP_21){bAorje6fw}A9eSus}AtRx+|e%|7x;=uU&>+
zS%YqUf!(Ervn=7Uj}jDp@O1sFIvuz^+v4XSTq<retpyKC(AsywLe=5>4#CN*$K*-5
z_>P{H!*J|U>??9V2>0r<^TQ4<ad~9>i>*mB0`R`Zc_DJVOEkKxT%^43Cl|RMv?B5C
zJg`lUYU&Dnhx^P3EBri8K4uLbvk!jC4*%Dm%0z|xscX}>b{hDARlo`j+}KgPN)0bw
z;P;_`eN*Um|9y||2b=z0-U4SS3@QHy&$T5?lKagt^P9^syxHk+BPGfO&(obAg<q-M
zSE7aQQ4Xb+!a`Iw6s&M9)2vGwtoZ8FEgm?<T(vL;wibP%vkwjqSMH61D`qvixMAOm
z1C#e)O8xcbJ@D(y{^}5Tr>C9jewczPXwnsK;<XYKgO54H>~MkaoBqxbglSXH8mqx7
zx4t`w!z#!A^=QCx&5F}%uzU9G;tAOBym7ZW{3GyVlRO--xm{Nu=HIE*a|~`v)mJlw
zH-6jXD+@cv$gA4G3>LYSoTR*5dbbOF<*`pFH!Pd<B*_alz9N^q9Zr08-~T3jNR7^i
z5e{5qq`V6&`df!=g>O#!{ucx%M;<oa2B)X~^@xJ0{qEUQ!jfi|wlQ#TrH=e&I3j9j
zDj9xoF-v3h9pYU@l!qU{<FD;`*I}ieR~H|_|F|l}|AVQ|@oPVZ7yqdA{)4^t@78(_
zi+Kl6{(@OA_$XJyL-U%|i}1#XKMnP;iEw!HPxwHhepLfZw{N%e9DFfE{dqSW7o_g{
z4K_NTU-%i0+Rm&!1!vF;ij2bN1WuWKf%yvk_Kd*+O7Ez@!rV`<@hrk3{&OrtupQk;
z<|X*j?x$13Fpu8Z*fm&md*`1X_(xEB&<0z44>)g_-VfJgCEjI(^=+MsI$-taA2)Wu
zG1q?UlI8Dy9QWdbe?F(QY=gV59d;CeTcd-vk>zjniZ~pF+y8~Jy@Lae-!MN0*E?!V
zzlT{Q{*21Q{0ZlVJK<N;xzi_LgAEMbWd9n5?oGMCPh}_P$@&Fn4|I6IjDNfn$@&8W
z_I|nxza74qL)L%2-m&o>?9j09#s}D`V@fF+-s$i>>lvKAsb=qen8I}<Pc<x6a_C_x
zJSN^MQU*WNaf>S>u8-VEmTyv>XMO?S{Kd(c4WE&{vicGp=kA|-1aA%d>fHpFC>qfw
zz@oewR`1~}bW9`nVgC=U<DIa@KL6z)SZa&VhtKd#-uH}9nEvtp_upaGTlY%>;CV0Y
zS3ls$7PWvo@WH6g6N_+?U`m<?Y%;og-yitF>fAdwIEgy(@htp4;?$%i%<9n^xd1C9
zeXY6-n=)!MtiXKNDAwg*Bk%am&333i9O6Hng!^}L>(IlT{Rc**;73M#R2X1%M2*Pu
z$1hYj3c*Q^E>|Ss`!X-8gyGeLTaJ_EJO5LZJ`7h1MOg9>Z<An=hQBPbN$rJOC~M+Q
z!DkLIXfwfL8&Z9g;qB3J0?crZ*8Wv>SeNd@)t@bBZ>J}{GJyR&4dbWa>)*D@pNGYn
z9&gNtt<RnrHidUpXo=>+47_Eg`tYcBrOZS4j_MU{L-;Ef&Gt-qMSEk18LaAT!;uUd
zYL_)yz!xMrR1@JAYqrxD;4ANkEbhUNLmWlP`j>1IBk#g=9vww`FwZgLd{4N)d{?{?
z%vZ+!*&SB$yw0KpdobOeu!j}%m}zui9qQ^zNBDb7**#-;evNNN1Af)CtZxaYs{UhF
zhbMUrKa=gxY}VPQ3_lYYd1peLB&w?jZ#a4UtS&4o5^R1P4!Tr(f*kL^>@zQ<;Jgsm
zljM9lrxrAe!QV$`52?Vsw_}z>;kth+Pfx&U=a(o2;aAp3=>><~{36B=Hyvf&cMP88
z_U09V-{wC&d=x&wv1bz>{BoOqIW4^PP|lJt>^U&<ng%}lAf9(WoU(pYfdc+_br*{S
z%#~ZKu>p2GyXZ)^KYrc*Jh?wlFX^2o$EO=I<4*4PG<8`wa(r|DPA`qXp{s0$I<SkH
z<n}?Be(qnO7A(UY6+xaKHy(>?MsOnoWy&X*Q}$H00sLJ1B1a4C$D5sS2^J9gu#Y^C
zY67RYF2G;;hjWYI>5Tgf7VwGqv*iVFaeqM;S^v&3w_}&!M)OUr((wMP)XbORgj=is
z$oZuSG>J8VUlfI~2*L87b#9o!bU9%P<a}Og$yqjl1Iu+ax#6Wd9J5C7-9N@RIpH&6
z4vt!|?$+5vI@q~QRZkCY<y&vu2D51-cAtaG?W4XdH)DQ2twoI{oMxW4{U3b5yhK(N
z=J0dl`~}x&(~F;h_g?MH`U!7RoG%rJ_j~6&8Hb01Rk9DkL!Pa}U*MO%(fq>j*rm+r
zKDcCXoK*zodDO<<OP0SUl1S=rA*)CG+TqDHuTWBdPcHQ6w!xO>uW7m9|AI;^-oimM
zG#hwe3A4$_2H0e)rr$33{QJ7p8aSmO)|CyWm|1;S4L9BFU0{I45BBwz!TXM}PBOvT
zNxP|@z{RgGSku7wOaC(G!AD}_jA&uq&LGD}uwW6}g=M^-JT&cmQemp{bLy+`A+N2U
zlVEnoR`s9c{bllNA{y2&T#=uFbJI1FL*TgD->2TgKAEPz$*{@E6yqj%&XlGv0Tvr%
zGpT?ZlBt*O!Wy3)70CP9Sw6q%9&ETSQBU5_rpL0nZ^32l2Ib`a{Eb>E*B>r*=8$ZK
ze^_u`<bdakv%)4}{?YspcKF_-F1le@sA28nuO?jo6X)N5gI`}W&0K`V3wY1Y!>U`U
zUXH`wpF6~V!?x~)Kfl2Cd26NQ_#6e6c<W&qZebttKEE1LpjihmZqZu(0arcReIpl+
zw7%0t*0&yIbS@vx*<-Hz4^H$d_K1PM_PL3W_xn-D36(gQwoR*$8V;H5^L2-3{YE{>
z^)fWsq~%F|AMyG>R@i^&xv3+pNNqC34m-GyiaW!-5pp)X@Rh=-6IbD`kuGC?*w(&+
z(H2%4tr#Hp+e-h6t^zz~;+9C-1CIlk_9?+v42{@M!e!^w6^_77Oa^NTuvo;!ok!se
z>k~K6!ZYWV_8x?NSf4wo!+MpQev83JzNXKS=cz*^fkFsA@3?D>JdY=LdsOX#165qc
zBw=o=t^!hSC%-;-82&x<p-&Lr-L=#C0DNB1?<Luuyd!_;KG-ezqN)UJx^7Fm9d5mn
zCnF7Kn9Z@#!5k058V<v1Ge?pZaDFwJK2#ishrU<lkn?{(q{NXN&)SV0kK5pGsu43;
z*m6GZ*$22Lq{E%8U-&yqc@lhm_J=iDziwhu{e5_w!%V#-OwazNp0r=t{;ocggLn8V
zwFkmn=35=e{_ftN&~5>nuuyxG^CNwN>5Ub<{7v0l0FM7?qbLI(FEerCf}L&*O3K2|
z65LWb;5hc_^26}3RA2!!yf$EzD+&Lwdf3MVZ$5lgNEF^YRQ8PqUZMN6o3#H0wkkfP
zgoFDjIp~SCcw@G~NBmQTNPlE8#bK5TPJ2-<w2c1CCpx9k?Jygs#!=FrKK(^{X%jr8
z6?3!^mTbGeY4t7ogC)O(n&4d*3nZ3ds`|Cum+;R$(<c|;pGS>T>fn%1-G6_;(!Z~z
zq`{nl&-prGnsf)(Y&dS3Li-cUF6^?90=J~7o3+5VxvD2pVY_n=BAVb3vl^>-IK5-)
z!7KQw-A04^@a6Y%?`z>2Yl_bi@B^XnzH&GxSiU6+_P3d&eg;30l~=n5*QHABDugYs
z-8dcs+a|FpCcsT~=Z^Ek(jTL>B4A_Z>!O12i9;)c_ux4t^CCKU{-W>CTf}GYrf-Lr
zgYQ1_g5S!RrcdL0Qq7*Fgxhe|Gufga@SZGxULW{AHJ2#)er8k6E#VGx&m8CJgrzPr
zU%LVeln<rdhreGiz3K!n%r_Lq!_FQ&zir@l&Lj~Z*hyf7(gMCIU&8GR$Mt$kn88E8
z)6zU(i=^kgS7C!E!G&({ENeUMCD<tNsE8W8%KK=y0nBzqh5IbLci%ZRJy@#fNSXpX
zALb@=5l+tMFC^bfTV=1lCCjsvOdlZMU-!ucRFd@_QXY^NfDih2>@<M`3d^N;!YYLm
zTdZK2l?;^~@RSb10AN?Q$R--N?`WccE&M3?dN(!vbRt5ItWQIjs=Eu{i(eVvKS#D_
zSkKzj1Ano%r`Cj(2k{rR@FUZo5nJJp7lKva!pTbwwN$XdP21*L@_XvG59^H>FS&ZY
z8jaAC`rhHfEAZ2b?bXF_++vFKA{^8|Q&0*Ex8J_{3m)I{;Xp1N#1nIE3f`rV!<7$r
zuFF`A!a9!^9{9n6=Eg3)@OSTq2=YBXJYV}^54^)GZMzptGvQv+Mt*N?x6vEsb$1#5
z0LO4B-ExIn0^?^I;4ORUT;1VF<NKU%;Lj1`zwBUZ#o7Ze;JU(`aR+!wvNgC8wu;ss
zH-TIKs#T`LQ#XB|TfixNo-7Yw(LlcETJYtoS^RPE`lil29XKg+$Uh1$EpX3Mfa7Es
zWA4FRR@^B{uwu=uMF_klTZ2O#j%`)BeFL7Wy}zyrQ%vpA_JNo5T6~S*?dx{V_V5{|
z%@$-lL+I(rQ;x6`h1A$(SdZh9rZpUM_+uv-zo7XizV|BpD}_?m87>O6JZT7X<q1iV
z<F6B5A2o)p>!YRaz(TL+=XGF>n|t;L!IyXxd9>kVrJuRJutKQr!87m*t4H!Jcs+$<
z!#OxaykIvO@7OGMh)Wixz4dG@4BpqbI3ou?o&R|=9#-D?Z&ea*x3_b;5C1i}ktPk#
z_4GTD>#tMnStJ4Pq%|}r*MIKa9}Tj+eL|D@3)pGfki7s*b)`y)++S7nNpkz(f0_#o
zP4G&{opU^JB)xS-3!GkYl4~zq<CK211LmI*6k&&*H!}*6`<?yN$m(u*a9AyO5FQqP
zP0I`yoUKe6hIxvv4eo@s(|)mkgA-N6mN&!3d+Jwz!2Kqp@2FtT_iH|jaK&=)_x~C&
z9x(Ij(jT(?_VM6lxG7ZHY%89(>;uJ#3ow&bg4Q<pZk3VEZ#c}V^AmYq9g4^APQYgO
z{hyKXm)+gL29xj<<?ACn@O+`F^)PJj%q+MUez7urbQG4>)y^T~F{NQS%Dr%9QpWuQ
zaLgvPUHx#~(kSZ@_{eC<;dk(7A&+G#Sm@qP%Vt=D{>Tk7Ueo-@`_^+<)x5&wFkEM3
zIPwfW;4Wsu3oE)a&KAO7I<Bho!>`Mx3m(BsY1-!~VLzQG)v54X&p^4&@I~dy>j^OH
zSu5EwoR8!7_kto|o(B=46L2u&bLAlT#dRx@df2qE_h=;iAV=;v8Q(J2ylfo~rz|g2
zSHkUzsvdXXO*3qTRq(!chpyZ3Oxmpia{utZ3}_67=j=?XbKsvrEK6kl%E62>X|T1J
zAR6TO9(Hg_^#Lrtw}OT2Pt}{$=2-Zk|7$9;zXkGcpQGW856&NrgU@LQ8Ib$Cnf(G=
zHhg8i*_}Ku*FKD?WWwL{{C@kur>DLg%ZJ&$&uk*~&znXQ8gjmdC1V4~c%f(Y#pS1P
zhMQ3gslPsGjO;Ii;}e;7kos%eTL129_+oL_o@?;kstaex_3%9#{?HND*{gND4%U)Z
zFR_RJZuw~Y5{}iN60?Gh_SG4`h23|)kt6k!*59h?dbq4fQjXM5N0l-Q$o02Uo<DmY
z-Yv!<(+K;1=Xfs(TSdvK)xt^dO>3lJmJrq4DtOSf^@SiTq3vAx1RjmpRwM*}IUT&K
z7}o0bC}f4(Jt_opU}e#wRCaikNllNOuL*r~E+$y_>LWLDK7)npH?Y9+l*1iSuuQYS
z1~R_8_4%n^x8RI**Dus?m~EuyP57MOr_ui~9xSPDaEe@ixyQwGzhQpiHRk|$;DD*q
zG@Pfkb~p=`UN6d@fXDL^EHmJ_Bs1Ybc%@%MHxE8xd_bCvKRX&v20VthI1NAl1bduL
zaxZ}$x8^i`goWk~W*5O{<BU|AV1c;7xN^923%7nFEIYI1H#r|HId}A)!TPoN6Xbk3
zepIn4gSEOl6)WJ_s1i%^|5FdzosN*})$HQrnhxK2oES^4_j{esE@XUvXWM~5a=rSe
z<8Fn)ai@OnAlIWnuXKYOT(#MC6S-a*ckQ>6_yO}P?XOAs?I>yb^Ki^Dl`>LpdTfb9
z9bTo-epmxLH#sNs!UNjnQ4O%vTammy@EwkJda{2%4nN5mM7+i6ToV)WJX~F`GMR*9
zZ?lJm!J)=hgF~?T3-K53@Mfj<l5zORpMO7G;TOr*#0KCUIv2ND!c#eUOd~MGa#+6=
zY{alR<{O;u6GEd7H{UyanZ$nt-o7k-7S6lfGcf_DD41S73>UJGRQ`b5qOTv5gl%7)
zIJO86NgG_@f;pZF(EfuTC#c-#fIm9E37LoYD}T#jhL;7)ycghw^Q}j>!z=1{mwVyo
ziyo(`U`aE_pZ&zD?w*_B;FnwNI$-w(?z^jR(0-ZvY1{?3nDSOE!>kl{2HwNIWo?ZM
zu$Qvs2NLhHC+73gJe<d}a<&ofuD!Em3Kn(il5K+P#$qME!J4bKH80_7lZwhC@Qmxp
zqB=NR)4*d0-df%zLgH&8w5sA-;a#mx+ev(lbl~Fe7P##}JbeLtbTb2g8JzN=e}u&6
zXc$ZDmcoNKY%k@)$FyfGbKyfOe46?2jakmP9N4G$$;S*hq_!g~4PKAETu0)8GGo%+
z9>T12z4C?dU%JA~docgO;T>i0#Q0RlUHChzO-vrl)|WWu3qKyA3n2R=ur#paChY5<
zKuOk@Tpz~k0XtesE@s0+tfv<|;l=bqw<1{b;V%j&_`RX3RSBHkcl?k8JSE#co&#I;
zo-o&gGauY5C;MaM9v`g(%XrgElJz<3|14F6twgwXk>eG6d*;h2_|rssd^+s*?7w+w
zc(h~BU2?o9Y>f9FgT0h8w~+X#X)ziJak%L$_kYQ7&3-rYgK(s0nnw)W+sx}C2(#a3
zv5tdtsbezuVHWSWuc7cUKgB1U@aQwDo^W`p+`%2}aBUDpw-3yi>p{5}_MwZOxB+L<
z{5Zq||E$_><qDq_%~4>5zv=nvy2H(#JZ>y-Xw7n`9o)r|9J2+^<@xZ8#EXqZa=zIF
ztC^iXLgL9Ziu*fO>M_2yFPGm2{xQ2L{x>|H5zMOs_ry!xS%nJ?4jfX3-`zHpnTAsb
z^@~V+p5U<3nF;tm^`cY~pI0B{UoZ;y>c>4G|2N@hZuPz$F3*v;IRj68r(11<13zW1
zPQXoV>$FX<T;z{w@_!bk$%V3wu({g>d-8uh@#Zlm<*?1}!E<BqosDYYPvMunY9IQ@
z@^oTFSuj<0RpAhv={q}=0Vm1|h;+kd{$n#q@b+W+oFpFc&9TSaiSWjdx)c(x`1pAA
ziF@$<!ks=HFh!%O(_Of`*Jq^#zDKVX=?T~Jyc%eQe|i6zcZDq)L;7pr2$5eK?cg+?
z>~}9=9j%Di%Vhb5kE$fTvg%J%)<xJRckCF6uQUsJStbvk)9*RR1CN;htv?3K@BGZY
z7xvX!TRaMTY&?`k=F3%4NN*N{g?dFJNWOO^NkvIf_{+^8dNN;5{^c!Y0ocgNca0f-
zA{ph$2Pe1n`22tVt0Mh<X1H^x!i3C!Js&R6%mf#)(hpL>`a3T7(!g$#|GnP|YYx=g
zZHCqQ7S-kuZ`-a%>$CbA-zT(tq<_IIF%m_~Fulb7s_(E)Ktt;fcu;dRaT?BxUR?hU
zC(=l;O~3{s%<?U8oTuIApYW%Fn9N4_cJ=0-e)veH;G1&zx7ywEVc5p(g+Lh`?Y{e2
zE3DW~b2J|=cI(Xg2<NL`xRMJmZs+7{f`b$CuRVm9_qFe6fx`?o=B2?)KCCfyu!om+
zRRTO-^7eK;%-~z}BMy##Nk>8Ao2k7hR>ELM+RFJCu*7R~kx+P~bH(W?EE``b8vy6Z
zWLzqTN6iD%{osht`%JUpa6aieCs<^srCcsd`Sx9e3rt_R_hl)pk>FBd4lBiJq&|a3
zPMYp8g%|BwQ?lT>BNe>*@ZKFJp(I}W&ErG5y72bR$=gz4iA9+^vT)tO1AUn=&)YW@
zGVltgwIPZBUixacl^Kp`E80T#r&@BW3={lnWjrticG*9c@}&;rqYAtBlKAh~!1&e?
zxb)-chiPyO>)6m|_)B<v<U@G#!2^YT@c8g$#ymLprfbb7*v0+Hh64D0byY|wTr2B;
zi=3as+_D94U?~QMOO^26#hYG@u&3ykkypgl3rXehbo!;2Z{UN)mG7UzRt=$Y<b3x`
zE({dFf0!FYYGFm!TKat0Wns2}oUhQpWv)z^!Gt%Z0@l`fcm5$9@%!xVV%W&@v~v_3
z^gH`6iC>TQ?A{UzpWeOOGZEIw=GYYgdoIddCg<zju7V+NIA!xEb22~YLCe~V8_aJq
z^Z)t$A=jsPTw%YHjO`@8e|#`X-U1HdI9^QVk6gKU$JGpW?l=Dbe8%PN{r-mVtf?)h
z6Ux&%I-lvoi=Ts2$o!+MBYxediRqKP$o!+umfO_IaEwL8Uvv1Nr>Kx5eEQ|np3CsW
z;IRvb;gH!jy^C=9yH|sYuh3pm;%v2thm5ASFTerp;^(YjT7lbQWAKx!ef!D$gz7s_
z%}3!B_Mf?z;5~L5U3=jdpP%0++k3zLSauKmL!o6CnV)s8ue0GTtT?Uzo6LuB)7bf^
z0oFf!*^SJXNIYywT?<EX3s{i(If@#A?d7o3bA8hz@b;>a(IWT-FN69~nD3Jqb0Pd7
zm;Hk%%)Bd{FB?V_UbPr3bxZo*L)hx{$a8M^o#=zaMEE;Z_+v7kuFdc7y98J!IZlww
zw+pAfI1m9dddRWthP5BOqz{Md>lNdeV8wNQ?mO^Q<u`w3xS=~#GXSQjo2H<J?>fA?
zZ3jp8*0wUj^ihu|ufTtNUccV}+od1xae`kR6B$~={K3s!J04zz%lQuV4ZxY<^Iufq
zF+TIyaabhp`c4)2JfG<fQtlKz$A1#;To~Rs1mB(WF_43+3j6)KU>1(CdjfEluEN=V
z*hEc7hZ}y;%&YPo7BBy(APAdUml=}$Ag6z*)APXoBaymsaMac6RZ`wM%WWM4t7a=V
zk@6n<f9B4xhWCHM^DpuJ@uT`*lF#Jxs&mvdtaR+)f41=54E>|2uyu5ek}o{CLB=Kp
zesMGF4avV7EWo<113T@H;thg}r8y<E;eipy46?lSSEU<IYtdfhA2|95e$*aQ^aQrz
z%q@QaAGn=iegWR~KJe!gIO-HzydgZ)p<<f{Z{GE59}~Q>)b&j@TpJN=%m5n%iYk=B
z-LHQaeyc(IXK;Gr1w2vtaP%u|yp(DA6h3}zQQ{?hSnl7JTDYd5>~anKHz_}m<X0Iy
zBYC$FHi>1qM9ybum7{hsyk+6?XdRqZcPHyE{6#{{pX5(Y=QRBs2siomZ>)!n7MlOK
z!*<*02O8l+JoyLQ;7!sMMr3;mDlF$LVTQS$!z4e;tkQ;C=CJvnn`LBs83U40M(|~u
zpmcJ4yc_}z1~9j%C^tF2rSOYg=i%8Z30kthN(|atHQ*i6J;4R=anmri({Ryfw`UQo
zyZ7!nC0L%rYbhIcKUZ%e3l|Q#jpe}SwO&Wbz)w0^%+ugB!wngS;9sS*8V}*4>6^O6
z;j0#fA4tCDDu2bVLh!8%sZ~iZ(`iF>0ocBEpyD3<DlYXR7u-PElobMdFcn90z$Y54
zc>Uo^vP&7vu+Pr341sXf^0po(*eUv3IJw^@D0C-j;PBPv8#iJ9XQ3KYa0u0g>-O*$
z!G6>A7w8`p_ggu_i?4Z_mSG_adW(y2P`caa1(;HGT;me_Bj^F`FF1F<cPq*7^WoG2
z#}w=+e6HFMF16dE`3+8Q8at*5Pf%Pp8-Xv37Yk^^$_@o_LokP|Qnni0KC<~yH{9Y%
z8+{h0oxVoj0S6vA93caLZt3BA2N&i3z99=gvfZWK3>Pp3{UiA|Kk;9)sDnEnDo#qm
zPg5x0*T5_Rm&f^G!Pi#@p1}?0IonA-Uh(_S7@orPEd?6fFl`d&o&r){dhz%k*rwD$
zHxDlP`m>4^eiHH7Dg$=-o|wZ9yDr>mO@$v=lx30po7-fUhT`ErnMP6DV9R^jJK|u)
z?-ScezEkJoH@snRiDJ;oCU}dipg{<nt;BSL<g1N1k#xl$=6g|Wy$0Wmux<B+{aasI
zPQw>h$3{KjvfBolB)@9mODz@;m?w6)?JLYk^FhD?wzqJ3@eNj}FORT+o8x_+lYE+#
z*Co@<;f_q2N4@ZXV`=9lxUnIeuN~e;acIH-{%@Lvu>;;IUB;#lKYo`O(E=|#mfWua
zuhMgRzlV9wDa4$C|MYQRuZArI-)Abo+{O>ANPf$N7=zF9u$>y`_*2+TZS31IxZ!Ku
zN0LvILZ4bo65i4o{ek4iQoVlPTojfo+FV8QV<oVOCmevK3U5oL!G5guIec(-#vC8X
zPstFrfpHJ4Q98LN61M&?VGkQzFs?x#4X3?3uD1&|TWk&``5rTvx-V~sHz<f)C;1w?
zXM{g)gT-9AJiK7Fhb<$NaP#^Nb8lGELR4)7{H^z@sV&TT>yy!+YQ%G8)t#}2`)>qC
zEWzt+M_Vl68y;fmGw{##d*viwn0;Eo)*o=qvU8a(9JtwleT<m<Wtu)*bcjP^6lQ-U
z&ZPn0@n|;fg`Fm@(`drnTP`+t!7P-<R3x97>r;ll4{)Sk>ViDXCsd};0;{R`%!$Fj
zPuc3chNmd21|;C__*3^@!OC-j7xu#*VJnH1@VU39r%ArWi9Nlo<#3|o`vzXv;CJkB
z5xm8Gy_6r;Z1G?&giklxh>`q@$zF%~vtiE8`yAY`nf|7Thj2-u9UDD-#Pw}jBK-bu
z>}Ce|Kd)z<3Gg1rRevft-_>g(0xs<4aoP%xRNJ$M!<5uPGaKORQHO=^5QjYKqkuhi
z1mkYQy=%@r^T-dE5x0=-1&h84t|$2%O&J#YuE8Y~v+_USYoc{OoM8W93ejme>U#r^
zBg`;lRY3APri{mlTf-LJZuh^!++q327I4M*(KwRNuwlWk-~#NiTmBZw=g2o2HEIYe
z2tQmW`5GJfuKv=5gM6}oko<#JwR{E7!?voMY)HPwZLS7VDzJ0~rCtkcwjnA*5!Sj?
ztMwc<us-|dFdSK0xW5KY)phwR0oRmL=RSo^=rn1B;S(-@W6R;D-MMapFhxK?6v;ox
zTk06U3x4Z$^D4<d*khXgZYOM1+%-w^4-OUG8=!*=URQKv!1J;jPt(9!vKAjnKEX{C
z9asKUVf>|c*JF}@aL$P}^$$FC%2pr@w$Z03o`d(~$}vU2CR@&p&%m~=k&$;`suro=
zUt!hrrrsnU;lIkD{S$DDc*#FsxYy7_W)ME#cKz!u_-)WTr+%2uzS;6RJiMj)RtJ1i
zApHCdxXyiNMLR6zH_++=v$St%YKFOVQ>xtHN#Dz>Z($wV?^1TKZ>1sqD|qHY7M}ww
zol~n&3tNfKWmv%ldvdIb;G7c%URUAaA?D-)`1<_AKbPPJ9-4wISb#}m+#K%W^cl^7
zPx~d98^H{+ZoiV?q8BIBjp5(de+nkT9Fuq6Yr~-)6H-y|sT2Dvbz%7hbB73clYo=t
zIXKK-{h=qEYkT6a7JU5l=Wcg+qwZ}_HMqk=)lUGv#^jx60@KF+dBz7fEI!*u*2i8T
zKy~Li+D|^i_sIFVWG&Wy7rx(HzAXUW?7o5j68yGeYbLo~Ni6?n%;2V#alUvsgC+cw
zG(2M8Q%&+cil%zf9)~TH%Vi(KVNq?S%y3|;N@potz4lm$1-5xAtXBndd0pOET#5R@
zL;h3;ET>t0v=CMm(SAklXIHTs!GUnrZ7*GtpL5oK?3F*97I3$N<QElgq~p_pZG;-N
z$n#^!A7-Qlb0vNFNS>cw3;!V|m?>O}kK}{&ndaHa2va?i${^3*I_)>l(F%-z_^|Vk
ze5;KaDMiC@(T<&|pJ6+3i@BF@?oo=<Bc%MPpkOV0Wa-Zvvc2F~cY{ap`zas)L72-!
zIU)=Guh4lTS-)OK#H&!a>22G~KA3-p{eQu5egsm4!tpL=Y_ws<ZCkU3;n&K#hjig#
z6)u5q@b!^0g>z*2OKc2NFn3oqtp=>jd@%YK{HoVZ<OJM1&VG3b)-!cnItjZ^iGN#z
z<s;1mg<$^G|FSoseiPbtVQxSCTa0lZ9qhdJlVLYJ#QS-f)SnzIqrDvPqugIUZ15v4
ztADhx{gHf4QXf;i)vl+9#p&L5kovlHu6b;&9QTK~bB++)AXHYc0p&L?gbR`PLA%@T
z4|6F0z`B2x<j>TRTaWt%yTq#a%E4)QhUH)2D^p!sr{IK5QoiHx#>(HFBwr?PbU<1s
z?Dxp+u{!MMZE~d>rf!VePu^!L!YM(G@TPNH){Nla*^Zh`uv_guKMQ!pJ>9ty?j8)*
zwuZm@IY?K*q7RF@9O3;gQAT<2m;ptuD=bH6#9ILGbr2LL@8eo-M}-uavDR+Q7oJj+
zpiPA(_+$J?e&g($#}0(UYIH5yp>Wr+{}v<QbB*&|vGBnci<^SrD>Okb<6-H9k`MRb
zL&r+wN&8~dE^Ycc>~8jnITLR0(Jj9LbA4Hk&xi9`CA)25t&Ht9#jt(zWU4*f>n8n^
z<Yzu7@~OxQp5lAiMe;MZp1$R24NKZj>A!{@M^qE^VR`%S`y1h`;004d*qVx^uoX6c
z+3u(b>+46xe}on8U6;~^m8@%6Nqa4(UdTWJ{`n~92gwJzjq^Q^5?o5%Z9f4g?M)Sv
zh0Xsc=}*E1$#Q??;Q2PUUeaE4GuyWHC>$0u`g$H_|Cie?1%DY~P$Kz4?evb$?}KZp
zMt1$b{dx1_^ZoGTBZj0cXs-?~YxJ_i2d&!eXkeAHv4<S6kRIhM`M-+uMh{AvVTQnq
zpPAt!;s?E0;LabBMx5~F`(yX$;pmxf3Z%VV9qy{d0CT<D-ALNwuSGsOZ-A+t>h24}
zr^}3_DPYUg-|VD)&-Q~t?cXzeFF&cUiL~$6B0`u};No%5J96-`k8R>VVXY==!&C6V
zP1^saVfk9Qe$u~)qn+LQ6)s=D^@j8>dQF`^O~MYgmCCxXh<wU?4;&YEn2q#bEO}Y0
zdf}aC?2^sk^D8;c?eJ^i>;Mb+&FY@$4tSgC;1)ZW&F@HQJ?#5Zv6u9p%oy^nH^7mK
zH!oa+6UvJ3KZD=N^oWrDSlTBpvkLej6H`e5ToKRWmjj2S8{a1VdwWGcm0Xyo`Ti!7
z&(uoD#ySzsneOb4g`Ziq9!!S+Su+`u{(ZP@o_YwpjrXK5>0eq&Zrv3I@0z_?m<#*w
zaTW-Kx28nK=feiuT4(OSql0a%PvM2qC^}C#u>0E-`Mx2x|9jUpn8ilOp5#A$IR8J6
z?mM2V?~enxRT9e19$6`}GLub6vdT(`l&qv7eKRt$3We;IjLgVt*t_f^vXZPML?P<;
zy1zf4k8{tx_jB*L=bm%k=blgM>Lr+FLt3Q?mRVnVeHk_yyI%heW@*xTcOK?jyZ(&$
zKc|Sf*cb;`(y&T&5KcCdE;EJgIg9=d!@4_sZl8e<wlDjAfv;w?gc-oWJ~K{V;U&+#
zCWbIm#-WApaKL{t9;)!EXEZg$dRFYCg9_^KLvCYLV!bP0T_#;c_~O-LB3tl>w$t=V
zu*cbed<u*o^?5Xii^9H{r|#^6_xt|+Ee6Yu#r>m$Kj~PraKqd$O?!#)Df+2LV?40m
z@e~s-IH+rCYcDKXtuIK7e?|UgZl;G7<KuEf;2~4__f)V5uT#_^*gN@RGBy17S{cI;
zSX4Ou<)0UbpYj__5#w(GTkUtZ;lTC;M^$(_XEpsh%uXvLuL+OsW^?)hE9~%msSmFV
z$lM!;^~RRM4dGj@rl&r`dk(1Vv4BIFt<Md?kG`z`BE}1S1-ykm!JJQy-y+rrdK%@U
z`4*<DD$ygxJE_IuXgXn~c9KqF{icuA5eMJE9-daI#Ck``Us6|UV1<DKUSfR|5{4Mk
zO8D5ODU}b*Vwu%m1;6df4iAR=gYVAd!ckQVXNmPsgwNhDeg?mqR2hE=|7UrlCKJAu
zHQE{jGZ^>=XTg^>CH08)P_o#yvSQ$S7tV7K<J*==IxcZAompiHF<$Q%LJ}4XbJGsH
z6~Y>Ee~m(5MMH^YV*I)B+Iw3+nB4pI5HbGzEWPKzU3gB4@oXI&Aa+IjD*T6^PmCDf
zHlKFfa}D-5e5?2!To5C{<pLM2Z9XRA8IPO=zq-Q9*G<?5VT$+yvUBje4E=Az@asQG
z9X4>9XSVAXxLAjI_7qHiBwBd}7Et(CYy`WSE!6#h|7$I;(S>z_&*l;9rObRt2|fWk
z^Hd$$gbf=0J~;}XW`D4?4Vzhic0LAE?D*!h6Y(DT%SS@R;FB?>r-=0yJEQ51#NmJ*
zx;_S&k)+&47%p*ie@Vob{I#NlMc@~#T}s6IDP_wYnrtxFq#rFG{Gc(Nh67IjIuR)X
zi$`^eP{UFhLAJ#Dkq(O~%QUcD{Pd&@to&A&Ypo3T>w10CQCMAo{_8LJ$!`H}P5630
zH`xsQz&UG?_<!c7RTJ&Au$l^$has#VGBN!T-gDer%@mH=NG=+N6<j77iS<5{CBFYE
zg>M#B={v#_w-Rbzz>HP<yWQYnAx7pPSWhuq#T%}9kv|d)e<WvaAl5@&t}a^mQHt?1
zH_CM)o);jv<Ha)kl`Gi07*3up9~*)x!%8H};qxcRvp>Pyj*>5k_~83TP7QBi@%vE$
z^>B2+^UzNC)=P$+M0{~9N%}=OY|^;n4H1uw47_@~64vAjQz7D&*BgePromB;R=-B!
z)hBeW88FB9&tB7T1kE(19z30M&Y6h6-tibz)qy+9x@L+0oBt8`<E%WK{rz#}FF5`6
zT&yh2I=VxKh{vY){d#g3o{X~RT!NSMevOF2nkqdBL_GF!B*O+L9QXdtrEhS;FuN27
z{Md2!>m(c)DrZ0q2k-{IAkIfRN9P_DEE2cy|Nk3jqBf5ug(<?M*(Q)~=;YS*?>YLD
zHHmS9Fo|B|{0~_2Jv;uG64%4Kh<_1|TJW9hgUQV2t-4?#C4FBa-dp3#7W)pa@Gsoz
zh2vgYieHCo*F)xs<Hvj~z2pgVx=vgigS#)<t@6V|vA<oG;m7l1V*6nVX6<=my%`Nj
zs_MQHoDXgNcjEf_vlXoL!20n!oqxiIqTZS$z?1X()g*|2O9+SFe+-u~M98iq{ghf;
zpF3P{#aT&;bm#L4G;T1>;F%*teEi=29~uU5LHoWgBLC^5J$LlsWKV+=ME<-?-JBz^
znC#WR+i(f5+-E8H-Q3gLYw+?lZ&pV5@Ae`SkzPH2)0iH<Il=vK72ccJQP*3Hc%AEP
zBRTfJYBass4bL&ss}a9Pz>ln^y$J7vqX<AFJ!14qz+0HCE!mM+k7i=%@$UcNMK*<V
z#QHPe6i#Y+!xrSnKIy~HB>iioV1akD->l&oC-V&n*g9kC60!Z4mLIyL@R(_Gn=Skw
z_gLV+LVTb7^r4nHTy%kcsTRKW`={GQn2((MPz{{E_sh3)aKfMbkYM<<in2H{UtzC)
ze`6r*yCGCy53h-hesh5%7WP;<!DUl)!p^XJ>FOYHJX&{_Qzr2Jn(|;`y&T4fGhs%s
zVpKdivH#PxW~B=7rE;lKVt-H7v%bs0YY!R3tzb2t3}#+fvNvdy*x&H3O+#+D<mGuw
z;{4?tGMx9o1%DU$&%!;t<T*6(^{)1G6PRWBS^ZW4##>}HFPp)6e$3mO@W=w^i~-E$
zxL5ECO#fUu))Zc`3by?W8+uYP5Z6~{;dV$noMO09YXsZr{A+B5>3H5L>B2QJ$2M}{
zH50*ZL-^`^&yj4{-*oi^F+bx{9ogkzI5>c6>=fL%H~VQIY*_K$@;KbS&veZc?v%e#
zZVYGN+aqZLSIr%j(t{uL#QO0QUeJyp?kBt5#n*iBE>23SlW@01^xutql&_5AK4;*n
zn>Q5K;TaL~KScWOy{Fwj!mqt6!-@P;LVEcF@KYK0T}1loNzRE1c-eP6p7{M8Hhi4r
z@F&+t%*5}vI#i{R0(%#~tS5ed?vr-kB-rPfvoi7f)sjPB+=dVBb?72~f8w6}rCYG`
zG5Y`ien0smtmom@hhx8p<C)T*H?@UNbcJ|o!5s_Jw{_slO5!{xV0KZyDs5OTXdsCw
z|3XUb3qr7vAparadc<946cL2uGFo!f;7ayl>mBfY#co;Rd`=lqC6dF1^KNCTu=xIg
z+5TrJAE9@sh~MMs<yi0m#-H9r5WjaIh+WACuI`vLA<8e=;h=xMaLXa1K@Ygs>aMCe
zT(st@L(K2l@ot3N61JC`cpCsah!@Ez!YhF%EW%;MKYuol!v8hajS%yT>Kb433BW=Q
zdBF+rx)14BLHJ__?`~qg(&SL<UuIawF0Y4}?_|bG*{~0`VA*d<%%3W}>9O`Z58pqE
z@BCa2%h6|5ZNO2}{th*8DYH)B9PH#Ydawc3lDZ!I4K8%EEb4%l?Wl`C!9Q>3T<d~w
zkxE}3g;To)*9Tzpv#-KCVU>#xHN$X&&!|B+e2QvH?F%f{%5c3Bek&^UZ5CGecu2k)
z9{iQ#whWic_|NIWCtp*3q{jS0tpTTk6EF{DtQ8Ys)0F0;@PCpje5^3rO}~(1a9BrY
z7B6hdxVd977xi6<tRJy{(~Z}P8Vm4+__VEqu<vknSr(jBGWYW+yko=sMmF5x5^_@$
zPWo)u=>~t)YR@%-fA@Xb?Fy^M3kd4MPu8CETf+|jEzIe|?JtkmS;3)|T8>2i-idTq
z6F8wRQ-@d&iZZ5j_7rS?##l`TekL!lb{uxf%;T4Xi-gLgv|)zre`$wdzl8V`vhbnC
zbO$L|+Dany2%NWbZ9)Wg5y^@bg=_tk8xIlb2i5uy!WO~ND#ZNEb4v#o*x~G477Agw
zwW&vh4HkHO(T^LZ|7>)BC<pQHvi@i>xQl}2?I1kw$+brizTCO+r4{~UW6*a1?r5s!
zYk^s*;tYuEyIf#rk_}t^Z5$x>uaTh~odw&BQJV0;>vF>lf$*=E<zXRMN2HY`0G=I{
zG$W25;f`e?;l}F0G2(b%txc}j!3~s5R$N577;C5ze43(@o0wnvl9}m*3G8#}VJ7kW
z85sqx9EAgUXmp76x)^6zq>d5WKkI)>T+i{G%gQpaZhl&!0xTMBMIs01KD#KX4(la{
zOYVbbbFWqr_tRp;{U<B@J?EH`F)aS`hQLNP##3#n8!h1Eof+qU!+G0EDnxns+>`WZ
z5Khl+X*P$aK7Z)_0Mp)CRU_ul_UGTe;sz_}UoO7{YyJLO<O1)mijcI0qbr_&(}XvR
z4dR{PpE2SGHQ+687bZJ6Ic)S><5RqE-<k>g!m^e^h0U<R{p0!fU?wuT=5p9}#@aO;
zZZY%@u7t1sGFW~D^BuU8ngfpvoGE(@53Rkl$%C1tb>)cp!sG@O&KdCgZ^v1Q`NV7D
zE22+ekJpOH&tSFc5zR;Nj~cOa#Cl(B?2J2O;gS))$qHEZ1R2A9*iDF~u?m){lkI;1
zKdjn)ydDlL<sA=(#e4n;H^SLRP0~Z)`hlhVx3ItldzBYF7}w_74U>`T-13G4=WCV+
zVX=3DL094551;l8!JM;(+Sg!OtK>72u*)?OV;A^zudmz`d?Cx2(GBjRz4>YZe!ncp
z;|R|inI$h0mN_|b5q?W{iuX5sR+D4F27bXLO1c4CC94+N!G9G5f=Dr6eBGI<+5#?S
z`+I>L{xK-(Z3Wwu{hFhO(=IIqnZO@yJ3DCM&{_K9r{Q02Ee6DVbWOz`<CC!1e1bSJ
zpWU9C{(~X>JuE_wnD3qx(lVg~Cl*+<9)g|U@3hy4GhGdNm0;RCWp0{qwG0obGW;OC
zPh1-g`N$fi4GXN@I;sqtx=mfsfuqd_d^BMBd%eqcaJQL9*io1(IjN7BzkiLfghmDC
zsd+Gb4W2rt&MF5x+&c5>27K7CnUmO`fa}q>@vxrv@dL83m>*d|B7E>{@ro84Wm$1*
z29A#3`}Y{UP2w*xN94bH=QMFW86`sggyDM)aWgwT;(Bv?7P5!JL!Y0WBJR(8zWu>`
z*ynnZ<_*}}&tEqWjvFWnxeZ$eYJ6yb`|jr634p~KEm!Mc=fZ5w2)NCD<{t4qUS4X6
zLJZ7g^(%W0K6h%KBn77Ybxn~8-}ChZQT)n+^Pb+eV1PO0|9IuX=dWql@e^KVcPoLv
zI%@h6>p%70<XJ9**H?ChNWnH`n$xdfvjY@467bVKW=^$mrAKp-8eI3z|6D8lZSG~K
z3cU8d&7liE=O{C32dk-*SPsCq-TAj{VA<y0)KBn>r&afE!B<W&#C(Atv8HF=gd-xh
zKhDCxkBLhW-#gYFI^MMehqBWd5#K{niKZH@!c21Y=IQXqli#(sV68LBH;L~nOZbgD
z{=vV*^?ZwAj<)PtO4KKqz?E7Ex9fbMpoLRLQ$<=~m7UU?Oz={!t4=d4IZ|<l6}CCT
zWH<n8ak6{z!bj9c-QL5;+wy<$!$o0!H;DCn{)90t9D@H2Ys7wmzu)*$C<edZ%fz+-
zw+I?Mk%6;s_sJ3K6>;Zx&nm*XGRlqQ_+FLHQ)5gW?%)0EGqL`YN%a`N4jf%(<;nqH
zOtfM%gh^LuBG_QEOgfv>uuG`RK51AhInLA?W|rJ1D+yQZzxL4<HcQAorVgj4{p-90
z>ja!Us|pt#`oc)m#}5TEXNdJ~-q+uxx&f!$RNZM#<oCTve+Ld{Ghrsyw`pi*r3`|-
zx8|h1V1~gXC&OTB1IgNG_@?Z*`a}48Lj7nYyfkjnoeZ}>!c-UdJtu2(7QFSkm7yMH
z5u;&x4xj5-EZBk{j(w)8hOhi~eoK5WE^3|5PzTezFdF8>_s#;fcXzeH{#RPpiSNJ3
zro>Kl!lTUJ1BmabOKsS+i1*EB#j}}Gu(&3_!3fMJC-K}A4!**nIR&5l_PCo^51~sd
zZSQwjY>4sv9eB7pXU7^Wt>Ni+8|EAnJVT22A4SYD_DYz!O-r8&CLw(!Uk-=KY-e-A
z(;IUW3|Mc%Zbdys0NzU>^^aJ;MCw8Fq6D1GT^p|tA86SBRUT$Lv|XVGld8q;ISuD$
z?^*7HpD7>QVGWbe9o^dt`+KLeJHuOU`$U;tQ654J={@1oBno<r@Ou_@PH$NFLZZ10
zy!tFa@G3l~@Sma_OslB%lSp@U@_1(lcZzy$5$S^-CPnrzO|X8)Z8(ipL-hf%{h(t%
zvHw@5g8QT3x7}f5M1CH!+Y+U)6HDw2k^gM`S%w$zrTo}(BEK%bM%EY{cPgTW$glie
zAb0})oZsC}<PS9Rj3INw_0+29Bl4$QH@!gtE4f{n^MjW(zCP4}{gdTayx^Dv?br0+
zBQ=bXVQ}~j`}j2YfS-HtL%4+gW<?6@9VquO0d~BS-Bb&c|49qYfYakkC*Q!PT+y+)
z@JoY_OXF~q&d&QK@Dlmxo-w#PlsBOgHmBd<BymUo#3?hX7IruJrT7==Rag3kn&5rq
zfzA7n?(Aya`wlL#zWs$6Hv1c4)&sNX`_Bu(cYV1|eS`;&T-_xIS0DN>eiYVEU3;hu
zr?xXkeTCh>kC!OHtS24}&BGy@)<@644Lc-zSK#dpRSQ#i;cO%OI-ILq^~DvwaKxQ~
z1npHj%UDtuxWta*><&0GVrN7UOn#=vgciQFXEZMW=E$epw-*+?b4DxzP7H6|vk&fJ
zJ#ZonW^^`<CECM+EUd;!FjEiR{r&K(<uC3Du%D&1p#W^}XZbS&ev;3jL$t3;uJh5S
z!)t4GUE=VMQfk)c@Z-0EEpjmH>^qraxbe5#$)hmm=Q5=_c+!YeO9N&<<8E04@3C!o
zOSJEYcAMCB!_SnX8x7!$+Fib#aFIv{ttrgaXHGQ(%L-=hI19HdPzryAABj0J+QZ-Y
zYmZP~!SgtFlG+*e>TopP0jK!Yp1uM<3(FhfhLa2mPkO;W;`BB-;U(R&_qSm&Hg3|x
z@a^R6cLDI83)S4B@aqNbeWCFEL(92Z@Y%B(d!vc;(V!L$SRm;9r4(4dME9I8taa^%
z?Nj)o&HLMTVBf1khOgmMTUEjfutCEYvlp<Xjl%9l*ukFcNi{s3Xc9x|f%~CU_Ut)q
z<=c0I3jTPITdEumcYJV%9p(~jQ7DA%S9aTS!Utm|>Pujm?G{Hdc%`JfEf>BZp{6Si
z%k>9DJcCPbrM;7b&GWcoGGS?NmSP3ixFLXp=-=Is=`YuVhpU<RQ(;>rop^mXq@-m!
z4ZcE~!*LpRzc{iM36IVPO_;-rA495%>oHF~ZEpwb#?#gl*Xy>Lp|(AIkE<#$9KQLn
zq}>^&awva9T<_z(-Vfa24SP$oJFs%q2)!2^+^p+J^d~<_#t+<vnN;UQ+~I~xe=Gvw
zSMMz)FT$1!CQ8BZxAW_(mtd)c%Gw9;l1VqY1w0~lF7P3oarR=XC7g4xkunLUvbHDV
zfXDS3*q*@;xMr1!{@-bzGjSPkzlr|Y4LooD9?RT$aJk^;_}{S7kbhD-ysa+sj;J5v
zIe)Yl!j7u9BkN(_XAUPTVBU*Oan-QGf`fP!Ty~Sm@)ex<W4IK5qM=%7Zf;iw=l&gx
zX@DL6%N8hyf88`-eG4b<`+BGl{%oSN`3}BfAo-&RX4I&?^8p@xa`_k0znuM6ZZimX
ze1B0*)Nk8{VqeDL%iFVc>F|pd-saD+lci)}CR~sauQLzJ3fP7x!fI0?2Nz(~m~4Y&
zm|KRlXcd-Y?KvF-M`|uc{({>&EJq#_>2Bk3lvi>77Zd02!4{n*meg=L-KWA(_?z#+
zF-G|Me*Q)eIQ(T>02}O?Zy8Ly4~pY7Dfhz+pF@(YVAHv}0%3SuxANTo-*-QhB_!ZG
zPu_ZJA>G{~;e!mk`fW+}IGh^7W}ysoEG%lu!Mh*FbE?CYg?n}>z_ZNk>3VRQ=_)55
z95<k(We7iA+dZ)#p7N<{GlvK223B{&ug}!Go`d<+rYdRRYX^=mJHkP27Q;mQK$*wL
z;tG6i^-Rh%+}k-k;sx71dsWo}M`n}T`@t?81-FUzh=_UAbO?M!n<J_OKC-<t`~fT#
zM`ltAGk%QS^BCscU<<tpH@ft)Wy33i(<iRMqR$;uieMur7gv2)*>{1w3cjp*K*9i~
zNDsPK2me&@Ii?IBo!qI{1T#b)AyI`rj59jl!J*Ioqm_VD7?`4Z;6x9x9!XfEub6QN
z{+D}kln*{d$22ekFU>Hd6YW=fp63={VfCXbg^aM`r=6U0#P-Wm?#ytN!qc>6Sk;dF
z&JI|^bHQ#6ei8XZg=kL;^F@5!hCj2v(EpA0_L+}OIi#MLk5Xr_cLPrUaN*EynB|fY
z=NxRcJL)?vTpu(&HV;#pNqMlqZ91R64Z}yN45ZoNmC?&ZBe2fX<%<3A)N7+x@8FU5
zf4ziY@Agl3i2j9U-IJ}uuzAyquo_szHM2$v*49xtSqCrV=%^os>1-%0iT(|BpFD*M
ztZo^=SqclBow#=#{vDwzk_kJKH|U;#t^QSiBl`aXBbPf(;LVdx>qP(m0I71M8T_Bz
z=u4vizaTQpU<*foc-MIcPNWPizW|pf$wm1R+gr#exWRh1v`>isU!?AfPoD5RnfnDN
zc(U=l&3`b@;z2JXxV@#8^e)Wo8lXt@rw5#_1ckxpB|<F@!Q(#}=N`eHXL>or;G0+5
zT$14%hDnM$;MX&|d!EAjT>V=+;byf)lOp)AhuGd9S-5|Lp=)Ju6WiI|C3xII^VVxv
zts!J|0)91Mt5^r~etw=d347;q*0jNG!K2SRVAs%mn=V+;f7|mN{5-(v%K&UQO&?JJ
zbCT#>7=usq2^ti^5?j0Grs1yhbdC?;WU^<M7h%pZmIG0+JBi!kFZlB`)!`6$_r|-f
zb@<cOJxig)_Ab%Jq}MPWsz3YZ7A!NP$+!dldvfN@ZTM5(?#Hxnfks)oGfbXdY(@_Y
zzbXiKg)5)m_{0WJCPYMEfL)dwUva?S`2tNY!n0oCDgy9<961{^ILx1e<N(~BCBkO`
z?=hbWkbpH$YzrB|%e=x4Qn0<n_gQ0D*>!0~5x!deYEci4CzWVZf~h{{mFUAy8aGa8
z!8yxUD>PwGep%7ua0#!Cmo}_zMN)DK9{Rc8M;Q(dR){i!PfF9Os>0kyD3~l^rHqgh
z5^yY|%X@2h#~D{zDOizC-rNyxT@qkC2)i^n%3p%#$|*k_f_r79UtfVmcE23vhn*_U
zC0~Wp#uJkT;m4_mcyGgI-;ZZ<!69=dBzItrejx`Q*ylK3U=VyfvCC;6{MK6A;T~)p
zm4Ap0z9-2v8wr1>GmxZ*#TjMWqG82-B0m}6lCu>0iLi=M%ld9OkBVP38E(0l_L2r(
zZNrLXu%wk-9R;kaMjMq4fA`;WcPD)6#t36E{PJ+dy}wUzzp7V%mcUsTZs?LAz22ee
zW;NXPmi*K@($hSL%wEA041;u=uvSdor$+d^lnu)YeA(^Qt7iCdsKm#g@E}EmN*C;W
zzHIaxtnw_8rw4x1emCtqe67Oy$wzp?isb26m|gg0z%Z=c-|095bLQz#eu2xlwOz*H
zttrEqDfnPE{o&7W+sJ<B@9@a8K<Od)^B3V0KVWNhgSBD!meFR{Z}=3+>&-s6o`0)o
z1MbfWc>Nw0rtFp?yN>=M&qDn>I4!G_fdUQ~cplIN_im@h(ZDl1nL}IPTaL*$_P|Hg
zQfWHiof#TFJg{BlI(-AYr%34>A1uo7y1x;=5=l2H0{_QGKlBPtzPPjD5Ue{Nd$tyS
zR9e)o1S{>Gw5x<!#WVAi;rKI-Uthx0sd~>(!CVP>^QG|1+N04%utnzOf){Z8Q95Qz
zcrhjSc>!D`{CCv~zIFS6ObPrqCuhqA4v4W<%!TFTAC0)dH)luQ<ijqbN>je@S8l4t
zC-5A-P?J9#*sZ%O52hB)I+X;+-*ckPfVW1&#Z%ya&PB%Au*VLnR~2x~(|WU1c=X7R
z#45Py&F&Ope`QY2LVa+l7ky?D9K~X|^F3V9bZ#aco-ltK{T+TsVzCepiv<*U{D3<O
zJb$Lay8r$0qrZXrtjl`+F??)$)Rqx;Dlo1m@~2mB{5%HNu!yt}`Tx5#(ys!KliGI@
z`E8~5f3brH3`P2g{L_jQjrQ<sWvwJ4|HdDdGY?>jf!}FFepl%YnJBn4neq^E{>5+K
z>o>w3<C)^b`P<M`i8d44H!18Q?nhV#+nDrC%%^b4qIm{qj*!>Lz^SbVa*6Wbb8U5{
z03MgMDIo6WyMXDwA~@LY$_=7?DBiETFa)1wdE`x$kLq`&TAyIUKd&^KU=RCyA9r}+
z{kGPj^BNZKzg0yE-!S}RNaQc82yPXD=MHU}68ZJ-c;y^|Q-uYS>fnDFby8aJPXB#r
zRWRLj3Bz&tzzG?CVt-dzWZBJOo?32UqC7?Y<=?b`-}0Swt%jMLor64KPsW2D&*6+7
zvkTYZ!~6Bti0w}XkGKTGa)-G$i1PO-vPC}xmM=SYhbVtnoKKi0z)?fH{E6~M$|ijz
z33hs~&{_!J-05BW0%rDF?|2HkOWLMYzyWIPr-<_B_i!q^6*l_UZA_FuH@mjrc6dg4
zc_0h+p4ERa3^%c)4kyFbR)^h2VC%eI-b`4c<J!g=EcMqzAQ5(bX*%>9-qn(KnJ6E1
z@`(=gw@@A*A9EwhhiSH#CL{c8&VGg1zLjC?gaFL+VR7vttS<2JkPyt0!sHzX_f}X*
z%fV8aad#fTk}fig3a}n&Z{s7_$HhC<7#_N--5L&yrWyN~!skw;bQAjv*D$+(1K!Rj
z>korh-W_)Jg1cVaO(F7o?O*zr3I90rKAp%<KGHg#1&=F#dY%C9&wjl<3n$#mE+Vea
z3hx-#418RcM4Gss%=M=Q*WqN^UUA}jf4b$N^$V`1pjat_D?S}+{|hU04lGu{llkg%
zTkwuOd!G~Kg{SwA%MNeMxBF1>tPK{9<|rhEH@1Ge5cQvYdY{B@_}ZU$PJJ+a)F;DT
zFpn#vC{e%OJRkj@4qi;F6`X?m>|&W{;nwv%vqXKr!KE9|4AY5CPZ93}FEPz3M!2k7
zG3N*Tz2MhTPMC6yG3z&6-@jnR4&VCh>bL>>u%wRfhkJkP*puRYm2VpPj~8Y;oGVBU
z=UJ)*h`{Diwmgh*^e@InL3qBf?K2asI9;!O7;fEoI>revYdm!ng_Z0WGq~ZwUq<ss
zV2i^&iHG6l-rWZ!VK=WD9-@5^pJOAb4%0u*;8cV~PaH8)h4*)*WE_LZJ_nf_!K}A~
zQ?+1)22-z7u+|aQX`(%Iut=BO3En}w`wP+DG5bl+e-RE8`c!NMkM-)5N5h<sqXqVG
zT<fk6k?^-mw*o!kt<TS|kHCUyXYLX0GoMErr^jHe<z&-qu#*Y%?5^8*|2jIFxxnhO
z)@{3ChF{lbZoo!vbYsWhGtv!HJ}{d{<MvTFa>*;l5B|+=<F5%faJOa=?Z=8Ev>EDf
zl2E|KFgQ0ON8kkfvy$(8BHZ$G&HgwnpF1s(4DZl;FmnnHst@8J+OO{U9YXlePgUha
zlgUDOZQk~oDXgiMHC_%cA6#!YhMzm!%&dfc#qOW9f-lXmr?kRU?+PQ#VB?>^Y}(=W
zN>w^rc%w_#x)(NL=@35$KNUR0+Yi$<Ta`J&SLplMzrd;Kwkzl1Ii<YxY50h%?}jJb
zI!~Iq2;0(avR;LE?wsadf&WWp<_&;t)HV4w;q3pyRQ%!MC9x$kwEuIBG<);m^_b-E
zyW#zxOP2EBCE+4jI>NU4w;SPvb-^R7aFTIpVm*BSq}odk_%?ZcMju>XP*cedzmwvt
z?}5L2^?3`z0h~FSLvU-Gkr&Y)i9S!}FbJn+1^tzPADB}+&%*!i?%tAzZ9dtCO~YlU
z^zSOcB~gyizu|<}1HMFjPtCBRWDPd<7TQU~1BaWcDtG>e|0lU#L2d~1)RPTTz)u92
z!ifIS+A8T7GaOr#ch3r55YygfggXtG_Ym>7bzXG}L0IEr2{qCGiiz{%=Z6=xoK6$*
zQV!a+LM3=2jMjvRr=I*O+NlULJH-#(gtemh-k*RUDX9+<{W*%KCO>uI(RC5NAo!H{
zn>+UK?D`1zeK<0EHrWo=${7quhZ|UasMo>@BU?f7u;kx&{PnP`-6eLSf4RBqKlxSI
z`Lj7|KKzd&!E6QY7b-bV^jA0PW<OKkL4Er6g#!_<Q#a{qpoLEc-n&{1Tdaonh{LzY
z{=1d~2ajKQE(zE5PSg~@Ct}|mJpmtTZL1^Ve=7gdIZwi)1CrFw;EtAsY)9BugO--)
z|N0hp-Ma+a@cw)B6i#`P|KJv^o!J{p#1mH}!rgDfD>rm4(qOx#jg<g6@yO)aNZ2&0
z=*2yl&fAnX8XivPmXCt_G{*V;;j<M@8;{_B8z*M&!fX3v?<B)*N2%wCc=w5~<mXah
z0n!@<|H0#Lu7A#keUxX5iThPBy7S31`0BNjo<#gqpVC{X3?{ika-E28zqB|;Sq?Ll
z+sj{q&uo^2y@Ag-&@0-)g8Mw2YhmB2tJ_3;`^Dj}i>>fA4vv3Be0!KVv%4KG^6_pU
z%9CRji%B1B9Lv>2l(+fQJ<{*taN%J+Gq`KJTJb9^VscIY6kKiM!7&4Oos;M{hAsH5
z_OHWcY4z{*-~ui>@=e&yd6b(d&m8}`-DmVc{AK@nUZT9utn#@r!}6xjUl92#Er;&v
zzy?{|6-0jRiTn0?u);avd&K#i+wNGs28&Glg`9v>%Y8rGfPLj8<B0r5S=wLX;fYx9
z$3%XS^3BFXc=zMx&&2tjbTlw{0jFIi`*IvkSR)ayfJIuHmJHzY<Bdum;n!D|mx*}0
zR_k@HVfgZ<u97}Hd#xqsCp^S@`55v19{qG9WDRCpHf$pHN6usxxziWpo&1-YRp3<a
z9anb2qt^`dHDG_=uQ%A>A1}|IJPKPMjyB_f9|x(wC*tpRl^*9rVcYTJABgz7|85SI
z!?5YI>Ug3)iH`|ykcIzNR3{MiP3LpTC-QJYl!&zyOkS2Lqz3Od6gYPfK9Q(JsR3Kd
zKjagIQyD75PQY)T-P<n!uQi@=J_*NU{QOGPZx_ni7Ei-m%6&7;Fk|9&u>~xbC7-_!
zt{c80eI9<IM^#7(tIIrIy#RmbxqO8R7Hg&Ua)V{sXFcaoKOf{jw0Rxw?^2Tc1_!^)
zyyFAc_Rh<Hf(KtEDc^<9Xe(@uz!$QZ8p7aw{@vT};hE|1%m_Fo`%K*c{7`#`P%Qjh
zc7J^ryls4I=VN%I)g`b8t`qqgng;iz{SK;w#anvxp1?C{O1cfOz~YIneE8|iAKjNQ
zzfXBlA^dMmnf5g-%_S*S0edX1)4qUdZ$4(If+=Ygdx`g<!hOa#ETX7-;N@a3@xJ_C
za^pq=ygDToTMWx6|J>++n}3DHrNN|B#V@<yLs3l@8Ssr6QRPAS_lqhkV!UTL|KRut
ztjsmX9S$d!KRf>wW*7?L34oV&tgFw!Zl@|I1L5*uua+NhTD1QZ(SF#MrFU@+&Kbzg
zaf5dncFu3ZvM<_l&%wei+WDk@h&NuGb+(1&8#@l~h9?ZRTnu5h0+}DQu;mpN38KBD
zw)yfZ3%vOvUWyoB33dqR=YfSTWUdk8E3cwy%nrck4WfQ=z=hjt`$S<MmzZi|JZ0tf
zyTl`K_xsN;cfemuNRBGPGj$_(DB;7F_iNPQv{_A`e`qfnc|T6ogzYDfsS)kPqC|oH
zC*f0br0UB^PqschX$ZF)u2B%<7o^><FId3q;zm2Z!A%~owXERcR+;cc`0MzPz6)$q
z9TGkbvj`1}y1{XCw+v?C{{4<6H{h!Ktp*dYkCbhc7hHZS@iEc<4Y@$e@emew{PcK~
z@XC%qkKiM<aXzc?l~<y9Wd0Zr?+EnSf;Txu+DTw}y=q@Rod2E?_D5xKa@Vr22<)v#
zTK1f9M{NW#p4FgAQr{16?B8);9+r?DpXi0T{k9TRVE4!G7k|Q$1qO-7;X1~GJuC1^
zg}{_POzqE=Kz$eS&wYMVrm)Vr#VRV;>fxOR2UtTu$ovf45JB2-7FJ(5D{l^8e9?9;
z0(PvkVO9=6yt5?RCI<e!NH3!VJ2i79l)#-ODb7vse*#AmtKdNq<?sf$vHg)tJ^a*I
zlJh&9q3P^g4NGywZY{!<wcZsquy|Na@UB42N6ghKuYlA0crWgTe_hX3BAz$h$!S*(
zSjF|y(Ng$Wm$m^HTvyuGKs;ZCl(eT0!wpsb^~CeV_xQ4m1WZ>a5kx#+9Gjh0@-W+t
zsel}~!uUXfBAgx;eLN37DHg%00T(W*XcN!d-cw(;G~tU3->9Cz>KVuVPQr7MM=2k{
z?=O5)HG*xqK6en;V}r`5$pY><63|XuueySiEGyWlTj>4+IIxZUfCJne*BBlQpFeVP
zmm?gYeBl()9&c$a3wMKu%ePJv?e&VS4d*Lx*5zdSyKpt7-48E#Hu^A~H{l&w-QIAm
z$-91HeD`b!wMhW{?Vv>;(Vw_<>V$L<+_AA5dmYZxEvvW>n_G}QBF1+gm>;+q4d*_J
zKXVa&l@-020Po^tJ8c8sUuYRlf(`5oS?%DnB@*Yd;NYYK`-t&gk^1w>+3=emFNZDR
z<gIu0Mew^pi6Npsa2WWLQ35Z>*C!L@?OLd#U^S86Bbh{$M`_WAJ6^#(%5~=q;IC)4
zLmFY_-P;zj@YaRPBJHrM|E;(q@Xdm)r*-gNn=dh<@HiD~a09F+bfK51Z>}=tk-da9
ze)n|mhgE`VCyD*1>@lYyp06dNQ#NJrlUYeBV*Hijq#I8q+_hY<wHHn#+e#wN|I?<p
zCQ;u^g;V@ToIjswvma3(rBXz%=fF1&Wqh~s{90wke9VLUHo9N^fsc;yoX&u&50+LD
z^^1xm8}n1Rzxnjq9L#YhGddY|-E93yjCVRv$9ts0kzcP!5cSEmpFE4Pa1ia+!yjRp
zH*{T(;ar_Z&I7RbrN?@au<DyT*2MV4Wa}xBbeQLiL1F}~aiQxev3<d_;E*HmPM+)P
z1@Nt}e$7(wjz4oXPhgU~k;a4Yh4#Ct#Q7CVkC2GKJ(qs5r@%I=vD>WhF)sFDV*mA5
zQWf{X%-P{*;^EguG)I1C;``hWsqfR^U~)l^HJBlW#)vrnB?g}hZ(z!Y)UHH%u^)e)
z`3e?XzdA>hr?~plY56e!Tj5+Hzlz_(kvw>c{k{N^KkC8P;S5+aYJ!|7kK7i{r&HlO
zrny`9VBhUVlQ=k*;@788*h*zZClY>e?@s4MIQEU%@q6&on#KYrxcd&3w+}ocpU$oV
zC*Ab*x&bS5jcusH()F1V9&q*hRX1Vy?Fyf`6U@afY9Infzx|na0nXB$)MkbEKk~}8
zhX1rP3bDh_pU!->g2k`7X41nq?cAnJU`+e>XN1o+PVyPUayM7DiTcdi)0tNf7UE+c
zrGeuFzFO<R4aOc86mUfCx}`ikR#Uo<s1JwiZpX{QuEUfu|4?6^3yX{ug0GyEGbTrR
z6&FXp0Q}Q9tZNhLv(GBKXy8}wCC(&BXYD;jLk$N7k<9)^y46cNsy`VRAN)d|{RfWh
zB|E+WJAX0S{}T=(Nml<1w@=8_uESx^bp6I*+GW3^OEANU^WL>^+A*F=Vt@G1wCW99
z8t5qf0~WX=TABiPnbZ~ig6~Cb{zxL+OMZx`@B7&l$2DNVzR$18aDM9ani*Q~aAA%r
zHQdwnEm05_xIp`g0XF<LdsY~JqdB0=0iU1hI5m@w_=@aTse`cX$NBqT;Xh%_#e6XN
zP(s)TnEvacvmh)~)6murFY<HEa>9qLIa=Ss2S@L=aKopgb$4{YaudbsEO4}77I_1F
zxrmOBxZmZugKBkf{&l64y>R`WNaYgP=irhBaesf^efwV#>^H(TK-}LCw*qdZ!V2-P
z9`1oz#@i~BVJev~dv?N38-f)vFdvWDcS<;>@XG2#_=um06LEj#-gK{o!A8FE$4QZ{
zRmUS43g>0LX(aB4a<iYfKipHbok861gZl<tec`K_eB3Lr550oRO*s4Q*)8IJs+B%^
zb{&qq<?HngUd>p~b%pyY%g+$+<9A{&1uw%}3hM?V@Shg~0_WkyvIAmc@N2o%^m8!Z
z=0(9y_~IFdv@>vb@k8=%ICXECr4ih8XyIl#+;dUXLKhy_pgU6um$1e%X~L|v_8lqk
zxo7(rmEa-;|J*eArg37IEG++`i!&IG;}YsT3|mKk-Mk0q2Fd9if;AJFf8Kx<X4`c5
zVS_TEUN2Zpd$ySecK0)BzX+?U`Zn!@-9DVlae`MEnaNpTwQf&-JJ^l9h;$F^tKdy)
z4~Gcqs?xwMzwh6%B)oe{nF2n3Gt%lTOny7?4jH_)kuhij=LNj>UP(iJ$ME=(8SFWA
zp?V4a=bN+l6uf^IdDSc&&zkhz5LT~z{%aa0Iq}R%2fo*1xHbmQtj8bMgI7B#j*P-@
ze`GhR!S6?&N_`-<FN@01fWr>hc=W^0ZYf+x;iExM+!|rBJ@!LHdrYwYLSa2z{lfLM
zEc|Z|RY5h(8?7rX4+|vp%vZt=TgJuWaN)@HxnfvgQRKcPyt7>WKoPvkB}F9yYb?$Q
zWy5;~DP|7B9Zat;WWgS6)b{(~8jTAM$?$^AM^ypXtxD-hB0Ro0`kDjg8J)>^2*2UY
zPUM1@(wZisV7=65EX=UoOONpoIQ*;YDhq7*)`a^W{9M@M${slQ6B(B;Y!N7KKnI5^
z&RgAqdBY_;DB*C`B+KjYk?r{$DmeA~y#!A<sqGs-DeOL{81D?T8>W+z!!_Z&ESKN~
z+O&;jv}aH93^Cclt-U7)f5JXYeJ1B%nWhsa-{9$#2;(zwP|BLbcX-d|uxL{_!*r!!
z3O2Sq9;FXEX*>>_hC>e<?$L#7Ki<Fl0e+;#K&uA-Bp0(Cgdg{C>Z`y~lR_h1@V(Iq
zJvn%Ge|>cita+5IT^fF{v-Ei_{BQhi>mj&4Ks&M?E-angc@UNeJw{y(pFUZ%V?X?j
zqjUBpEUP#hzzvfdR88a&+q+cXWr2@#sn_Jg{lO#kOz^6%tl|?`t+=?325vk2YTr|s
zf8WP{yJ02XqDRT_eVM|)WN;q)VUJW;;M?#qQuuQZ&-YlE@6x@a%c&S&7^lxofK_R0
zynn!9{-grY@R)P#tr@s6)|2!R{PbLJ)mJ!X%kEAXtZ?>j#RqsqSzi7Dd|SD7tsjnz
z7I+Z^zwYt+*$8Wo%({ib*D_nA8sN|D{qufsNV}IrDZJM$=xHGQJgnQj1Wt)}<@*o*
zUD|)i4|X2rGP(!zd{fKyfiK@D>GXjqUoq$0fN$Sbct-4Rb>hiIFZf)p*<s>%^=ZPE
zyzobo)}j>n#_dS<{csKQqEt3a-T!wV1FTlGy+B-VZWg<bjBpZzkVh$;B+b?TGX?v9
zzwaw?znT)RK3ao6Drh)05b0|6k)yDgH62MC+~QJvY8?JDe=LwF4=>Xzbt>U=WXbP`
zU^D%nyQ<*;r%v-pxVTW7JOQ5Cwe#H^TyXn*V<OypMbU5t7E8PJ#v7)#kZIh2Pemr(
z`47&ocR5am=i%b@(3@vr^%aqq#Pj2EFIDaw9Bk#F%mD8=_*7H~4tf!<%>$#cv>*&C
z<bLcBhWQ?Rnf#rM=OJ}yO$wf@c$c{WFKcjn6ZKQVL)XM!SlU6lO%twH(6;P{Ehlg5
zpM-q{FPfCW{ecs2OyQheDUY7RepxXJ`tS^w`-22{Vd!d?5&X^gut5^srBQE8)X!|q
z&-B9K3$^Oh=ip`=hu!yKORtBKj<7%m<&NucaJjsI3w&$QT+0(?_nb~6>if8G-s897
z=ReCDiT45bmy0^r;6$&>r7Cc%9*^FCu&%D$z%e+gw7J6zW>}8y6oo|&UVG;U&)c3|
zChA9}b+(gt;Bm>ySvGjsx7Hwtu&OT&D@+qZXXpcK6-xhE!~Lk6ergm9JJS5&UWFAO
zpL;~)7m+d#ZHI>#CSr*EpR0KaTVd1G>t?s$O0l<lBH)<6pUnN?kq0qS#PjsxnDVC^
zaKCLhs~H?3cz=XA-h9JprPJ{GSbGYQ-!{yk_$cflLz712=W^KBuK>5+zCP{?Q@yG+
zkc4f6N+<5Y=~h8k#o?yTyLN%Fe$0RqH+*)s;(P>r;C;e<PWb9P*OM@Ku3Vjp30A1m
z&w2<yc}*t90Lyu?3P!@ecb^s@h1t!Ng&xDC&lz<7VSIv$`H5pJ{DA9q<1bhwr}1J6
z>>qYxW))r?3!5d%gUe$3*cbTZ-ORZR`1z(k*(5BnMR714-m`MZX9)gayzfvhtlm74
zF$mj#xaph?lS+qkb;Fk9fi6X`aHo=5C+tc?<(2~n(oc)$!xLY2xEI5-f8tE?V7se-
zONjjU#irl*!0t_qC8;nwm1LqHEE2RNL6pz*FyCl**z5|m#3Oj)Nt3Gw?6Kl|B^uVe
zb$RX*+(}dAMqK}2Ez=n;u;?9`V&eMW3Jv3OfVHVZ3NFItEBvKSa1%Ad_X}`Mdy|+Q
zENyagP76LmaypgRUqul8K~30!X@$)euH2K%PXkBJpWt?dSuBhkcEb-#CliSMM;`Gw
zznO&g$KC-WBL6{G@h9uBWAo)s8`$W}sf=0pf~bCwJ<Pv*-{dsx(mh6E1#@x8PYl3p
zszp`jU>=EGd>`PF9_1rv;3_G3?l&;Q;`>%&`^iBjn^%Nm&TE*!k2<8S^I_Gs9e;@J
zr>xmh^Wf=_=o<#`{5SdJ1i0_#{=>$wjjQnJV_5upL7pxwW+p!p39HMy1)YFv1w^?X
zz`?%1NHk#gohqEc@Ne_75lxttSKc}h=5<swSAt76^w0hWubp0zR)#OzoJjG8cZhfu
z%fLS*&L>}mRmBg5%fV%n7e=qZ%5B9v#o+@5J|mal$tmke3Ao1S;kgTNkE+8E54^v;
z#M&CJOQI>~gY&if#x3CL+PwvI@L!EzV@5EUMd>{TxJZna*AV{aD@DGWNZ&8bqXWMY
z?-`?pIpke4GzsT)e%Qo#qD^ajx)S^)_QLZmxNhauXGM5ndQx;1-t9d%Aq7W%yT0oe
zY|fx$FAi5!y8fGj<E7ot3&Y);o5RzvOl9{JKP(*iqxS>sdUe+n2V6sUvv3er`2B5`
z2|lE5o>UGCM@i1oz$(TcZ&bpfQS14XFm=A-Tnaqla6JECB96!RqA88oUj2akCM@Jn
zCl?II8T+}dz&_^!7((FmZo%b6IEdmB)lK;Kt$?LzIF$Fp6fwSf>a(op7kKGG#ixt#
zeZj=5pWvc7u1Y7E`li*|Ane7vRcH=No^D$0hJRIChg!k{+=pbl;E2m_DU9JOtFbaI
za1;B12@^QI#l5Nl*2^XtB*vEqWhW|M!p5;?rNsDh+e)iqC2Te)nkNk}Y#mc9hUND8
z1j@iaHY;xz!k%Yl{t@HZ+S}r{pTb;8(w`2)ItmhhGhj+h@;)y3{)fWt1USA`w~!bg
z?+n*!h=Iw*Z}aSg%k1CPN5D_oUu{yt<tkR>;c%@C?~Q*LpC8&gMHT=n%2^o^<MV5>
zUYh>!L#LW|>qxiZj?nOc=R<@7w%}t@B0=tOVcxyJKViShV}Uj>@B7ggzhTa*FU{7l
z#TO+BB0fO+!>>sTe$AFrzY0_ONbl5yb5%B!7GTrtcNC&<m$4K^s`3794A(vg`$vZB
z&cTbLyjl#flW)rKBHR(W5KIUE>HB$l8h*3#FK{UV^L3rO>%YS-U7uPO;ncr;$B6hv
zYM*`c0KDxv)Hx3`AJeD&0KelB(Vc`h!VGsd!$)6D{w20&nN-thga=I|yhmZxZtde`
z@U5*u@z3xUgIefwcrJiH|0CR9*c6fnhd3?;4Z~-YnmTge+b<MJ`(Uq^o$Zfdi@27G
z4{*H90CgNJ+P_Dt6JBRMOZ@<L>+7WHhDXMnPDa4JADBW~V1vb*`v1ZImI99v@to@P
z2M@eq<1g)1_3(#xEDx^2>i@hSHNwB!rFyQwhpTG#yn@#jUw2=Eg}+^%dkwe9j?rI)
zb1oM;ynsvESLw`P+wZ^Gi1^alHn+)Xc-Bfjwiy2AoNs&*&dwije-8J}567H<yC#^w
z<-#>aPB9vA#_{6jXRta)>VO*TuJK(p6BfRGct8O*tM})~BGMx-vC6}(0X1<+u;A?G
zJ_)#+)xaYK?$%bcJPglggf7IuqiS{*+;Hz~Vn#gtF(NOC6K1n}&lv^Nh$|;C!G9Uf
z{Emjho5DvK;NM0Mu7<+BHv30+!=xP4C&S^lD%W|a;1XW-HX`09{GOJF6rLb?nHdPb
z=&gOS9gp{ioM3_{yi9WL$r{{j_Sln%A3B@(U0#Ckwn%-of{)h<U!H|C4N_~Z;cHKL
zkB-2bRcl=P;mp2q#rJT@3A1&6xP_^wzX8@IWozp~yf)z5^Zu7`Hmh4^58V4Z^Jx*x
zp&daI3%`s?ewqzGyEHf)2j@sVUrB-Q3CF0rz+QT<R$^gEia|~{xIiT6ejx1SacF@R
zo}7Mu|37%5->!un{<bW_eHH#w%92OK%hS3pb6<v^u4@F$!Hvvq(+==jb=+z<OmmoF
z<}BQG=}lKJTyd=2#RBf#T576;&6X%!jbQEt`m_f4>16rJN!V3SJ@z@ADo*`V3qIy;
z?M}=WAZwYE(S)z5T$?B66A03%$tuC*_rjVAV13WsujS$NW92WC;I}3hUrWF>&CM|>
zaDagEzr(O_<<Q<(SmtlZKOvaL?CV?{Ov9R?E(qV;yYBD+UYjS?;DSY3|0)ynA!^MR
z+t}b^4tz4cFl~!zJ3ajH?Eby}#P)1PG<2|rnpBt<eAlm<W*6*iblAZgRz6?zkOJm7
ze!|iTma-RpwDlPM^T%pOoZ-!-BLka+a}A2m!}8y<23Fu)deu+|I6$@G><^gM*38!g
z7X2V+Jp%_)X;_?wpCs$2e}%tkpM0+mCm(D|AB8n{9Vs$^e<_ZA`2;u6923!owHwT)
z`r#eZ+~hj&HO~0UJ+L>&;SE_>MtPre8yqdOyI&sOx_7Lo1rBkfGmwC}p41f8z>)DY
z!cy>(`#zahFuCwD7atrVm?~2Se@|%my&sn8r+8fq3;t~TP7iDHN59U2H?m_|8R5)0
zeEtoOImM|H^Jh3F%t=z=QW<MbV*ZS9@?(u;xT)6qF$GLFF02^?$3Nlm*a<g&alZEu
zo?PW#*v5Pu9^SwA!r<zqPtE^ePuJsbLtq7}Vb$NT-jh#n{a{wEhwK}$yu!h~zHrah
zgV-fF{8HWCoAAp6>h8q+9@^tfCfDKO?ql<F@E7+26IVEkaiQ@Wyc)OTu`@j6Kdt-)
zHmpv2Y!8o(MzVf|=MMZGwu8+WLm!R6D%D3ujNr)mPVEWUo*|jX5VoLet{;Ri`N{L@
zz_H=BNkj0?{ZH++;T*3sEWPm4Pz?uVc$@nBk3P84vph!$wyXPmxdUeJX?ey3e|L|5
z)(<z-sb6G)c^A{giR160yL@RUEGVBaISxnIt>sg|2WdjAiQ^X+C>Kq|q5ksHY#f8X
ziwrMM!uKP^l?UMTKh7(|utnaZeIMat^)#|WaP+-954+*6h;-RrIIw!enK<9(L~ZYG
z_^?g$bQ`Q-JL266pUC5>BhELt;$BTN?8HKOv;qEnou~E<T<Ud}sR_Qt)I;_f)-6<z
zd<8djI+4GC8-*WTdIM*^;5l9jf8h7}@&f*J@zwEX@ZE~W*A?(~+>P*Dn9(~&t_VJ=
zR}v8q57kJ_KZl>6zt$56^LR2`$b;+8GxR=yRRj%{^I_-4PfYh=+6;;6OxWkmZRQ~O
zlC#spELf?6J;fh(ixLib1bdvQOSuJWC0p9X!lC<J1#iIA_nFNC;W1-YAvgHKu)0Jr
zd}_3G`4U_*`61l}?$f=vVhfKaZryT&*$zp2Tf?7hO5CmCmr~!oPs2|wdUb5zkIOA&
z#<2Iizp?=w8xu^f2hR$o>@$SVOS*+?!^wB`XjNb(cj*Xaxcr~Zv?{!AF4m(2k7>%-
z$-^sAt35~Hv%^}7#QeIjhM!E*u)qvkxg?ys`kMI=yen4lfi%qGR&OB!-*#HxbqKaj
zjIiW`+r<BU7KNWQW=wLyXLe=|a=_L3YE!iE!yW0NJh1=P=>s${ouoU(KKR@|VG#;A
zSM}m3D?C-K>PiNWNXwYh!4}eA-Bw~TUf{WJHxnH7g0gH0wlez?NDT{&7rdB&lb)8z
z?u99JKdz6#jJNMRC*~)PvHNUx!B;;Xwciapx|S+;!t80}W2EqzJHaZ=aQEn^3Ub(Q
zUtK^Wtm={}`3LhIyZGV)U%_6D*LQEjG2|cGs^Mz3qd}{%ont^p9;`XrFS`y`Nxa>Y
z3%7|se*Obi3w^RT9p=e78@3D!B`ukx!nZ28cg(@OiyfwMu$A`s=sbM?I9Eap9Kn@t
zjv*}7?U;>(2za~MN^%PRCSx=f22)?)DEI^q-Vq<a3-1x?3mk=29V7Vt;mwGsfA8VC
z$Z!!|IE0gR;WMnH%KTLiUU_KaK^%`IEMP_ozD2|GhdAH5ZSp5a;FK&IKjQanhnYX+
zgmZVTQvHR?>bq^Z;eZB}NaFfR{XBVo5A0N`s7hSlwfnVPbVPdPy=DgZ{TFc_68JFP
zwHqw(!^xy!QaHl4;SV?5efICC<ruur_|gmZ!`Eva9{+^>-~5my%GZ*#UBV}L>OAkO
z|8aER@mzg>9KidAj0jN@MMxnsBYT7*AreJOWF%!Ytn8INGEzoVNQz_@$(~WjjHryP
zGE?+>o!_6&$NSv#x%Zs&zW3aF&qWj#FsU#cgm-W|DIbQfFsB>U!keCZH!8xczZaP6
z;nwiZ6Poaszb9Frz^O&lFG#+)Q{8)?1*?ajlR6FWGC0x^1s^NttT2V!cln0Jz;-XM
zt69NkC*mTU;GpLUnIvE1J8O@*ka%j6z;$>Fo7o9Im{-m9UJ#t*rWeZtM=h{!^MX%q
zJQ%l?#3dPPec_1{LcL7z<4;*iZX{lw+)D%7Qm3+cz&5%Mc2mP@&eAc?u(hi<*K#bL
z&;Qz{dK13AbjNa$STFZAIbVEgcCh*e(+%CScY?>od~-(O!v`70Y+-fv#hiZFB5<nW
zGF<hGVXhZmN%1;N*2n&|TbgTxb+3p{T!Kyi+i|D?=Dk&Q@f<9BDg4k|_{?mK+<AE8
zkwW(h_`y4#BGP{5=II`Jq<lxQ)mfO9zoRM_E{InjJ_*MT9DSDwQ;5)(7{U>gp41sI
z<LkTP$Kh+)S7~D5E;_~$U06BonNBn;8=7QF`Y%0e--!_Tm8!1fF}U!%U2G71KeQ*0
zoX=K$>+YJvT64VLNW9y0*XE0GrwRMq8QAYj$mX-~Kd<6?(!Y9pCF@M#id*73q<@Po
zlIslN(u=Kp)-Yw_w45<~V6gh&E%@e?w!9wv-$heu(qGKiALJXr+b9gShQeOMzw))=
zO5TZyFgVfup1ls-P;7aXTo0b4PTH%(5)YO&5@0Jo>5-%GQJq=+ELgwd_J}g<+v+8d
z1J7>ad!PzOO#I0!fUm4tJ&=X{L_z||^=?*!)>s}^sidMO*TdCc>c*1rOhe>o1$;(r
zZ0jM|yp7(r9&Vj4W7!TDq%zjG!Cn@+ZEWy-a^&$(@B=Y?=N5zU{M<0-Gi<Bn!ny?S
zKHI@ZuK#i0jJMUn{*%8&zrg3OPM)cOsl*(glKFtUjsDqOxO4MyF|vK6=WJRIEOqtm
z(=K?R;c>bf+@wWOOy)oPbWO)@!Pdu|#K`v7-y9j=0Uv#ENMi=R?XypW4Yrp|eoN+4
zCp|Sq{zYT|6&=)nz#T1zT-IQT`S+D0u>bH$mv8Wc&+bRYVb}5#WutJ+i@u5>*mLYs
zSu@P*X|6`<8`rtIp$Sg6FMmVkN3wK58*<<;{e3&W!m25$8d<O+i$rWc-0YmA;SF0n
zDXSsz;X<zszOeuOOIp+L0X4@BPH>pqtK~Vk=Bsj<Gu-E9;YsG3gZKE#F2cWWKNKYM
z)o=G_oUPznH2N>7FrRI4t8qRBCph|=(ZUA@gN0AS_(O)HWd7_~a79=bW_eXxO6JdQ
zY@%a&u)^APB~Cc{5#!iVm{V-i_T4ZKLwlMQ+%#R3%nz>{<fN&>1>e-1_QRYNHfN5&
zU$!qUllgtg8-+9SaLb3=ZDf9bPH>e)5%#(zYA6T48fj!X1lz9^2`az?`u?rb@WZXP
zFVx{5?@qKHghP#{0ySZ`O`fZg@VTLlJ1)Q`KV(<&H|^dA#rV&V`<+JSse4keC;i_$
z;jp2Ja<T%<EPSId6n=3a*;X62eLePt++Sw23)rf`vd3IX$o=Kk{nzx!@$J*u_kJF}
za(_mb9N*8~FCQ(!rixc$4B%7O&wnQCvGw+{#GZxiwOXi;!P^3w-kyiW#i|o6V4df#
zRW`)V``?`>@j9*9EAVdzb^|v!S%PBjI{b0hEstBU=#}}4uCUEeWl#t#;ht~l19!IX
z$Pa?uBA@s8!@d?~ugUuE6$R(sF!*Nti*Mxqe7mrhP82M;@^kJ9%<OUWL?WE+ptSQb
z9AuFrRRB9q+RyAI&jSK;B+2-6{3BGm557AlvnwAqb&Tyl1~2yR=gfv{>h%lAdg<F6
z?`h@1$=`RWS;13Qp2r@;F}Z#0*6{J>#y6zAyg0+&TX4T>=IeBLAiDmKD_p)jEBXj#
zQd-?ao`;<Ft2+1qHk2tCB<q{=g6K2T;Oz|G#>w*-jeT7Y$^QRIy;n)rGv|M;|Mw6M
zr8)S8Jm2b~b6vj&M}~bX?u0qY)((*EBl(^kCC}@^^d1V4?HPAiaLvJnWq(qW;R{L8
zg5-IlnPoysEPR9i$bS?t|I9n%yRf^^K;ULrSl8rqIIQRqYDU%vGxYm1N5Z^IyrbJ-
z`gs<nAUKk)y_5}J^OkE0h7Eq(C~?C-b?X~Qep`1iZ|8xhho*c<eltitO%{YZtekz^
z;F@+lC-S_tV>w>V13sEPxlGm%e{W8Zv4;y!2|bd54PU?d_5bm6t4>e_)-B?iA^9!k
z5}Kz0dtQ*tBKf_!WWS^?9K`YXG0E?8>k>MBIKH9eygqz`+bD{xAND@H*Zdg#Dt6=&
zSwCz$F2zprL%Yg*>LM({^ni`z2lEPTwG}+`_Gt&n@6dZ$N6C8PkW_|tlHWaXB3#$t
zJvsZ2D8sQ9_JTfeZ?cc73@o)YyTK1$Uq~*JgIj+H)5pOTzkd`;zzsW|kKBc=(y0VU
z{>vVko_-8-mLA_n^55_8<(e$m_JZ*jQTVCuX03d<>)^ei{jha!AookSvo|A25OzuD
ze_RgFoEuKyfgjDJc)Wp=>BjZ>;CLaWjdk!j4K6)SSX92Sryeet=cC&VZ=Nwc*ABb&
zy`tO%zZXyW(gi<JDX5@^rKnV_Kf`B@Dax0l@cj1^E$av@v}@JnH$1oSENK$94dZnF
z30v%7xHbj9Ims+MPn?s#NZxP!T{$K&3cFibJzRl5avmQ23Ja)i-v1xom$Vz`ei?up
zd(GF$dg~4~p;N;!GiNR>D||Lw#-InTJH9@&4fZtI%g_g3D9E(h4VS7)uO-1r+Bs~(
zaAqt`aWd?@ZuEe>ACf#Y@xl)lvhLxMgXxs>?E>I)vO$l?`=@=KVVADMjcrZ(n(%_G
zF8571e#-5WE`0MRC#N;cI`Z6)yblw2)!StQduUytHHFn&%08Zlsl9FtnZZql|Lrt~
zXO(MAPQmFywcB*zmbzgo6L{n|tEmpz-s6C`9$es>U?2?dIw{t38s@vboFoJv*K<8d
zeqVz!HkJjZ%GK>Ogeh3|>uiH-MCi_t->Z%5I!Xm^EbFHt?;9C5SZ$<+Wr7ky$@|EO
zOsNh3BJuuallz6s@CN4U(hZ1*9+e(*hCfPhzZ^$g>Ql3gE8JB0;P-b}mz81k8Z1+5
zz5E#-J33tA1gAw#Dh$FIy4(_WFkXTkZiSP&N<NeKm*Vf}y_;dH_9bI0SoA=zXEj{E
z=e3A6Tq|r>Qw1x0U&$ixBRLaf-j%}VbxUuP_n})x+Gt8(ufc^C(jIPG94NEk^cJjo
zhMU~l-(<u0Cxivb`_YcPYcE{ktYv`%<bCeFZxy!gFvF{b{F|_en3UCJc*}bMGk2J)
z#&h=-xT1S;#19r}n55hWhjn=|CK78lX|s@cdQM0r9KoY6m=S^XUEL!R<oz<Erj=tl
zEE@k`UK%`Ro@MO=^U9}f%!1#Qx8!-jmKx<Asj$grv)r5TwI84K(_#A;f%Dhl`pTcp
z<oCj!X3to`FZp-fxDN*^4oF$T-LsN&vG9&b2MJTSJYTK$F04@Z*zFAb_sAKgaM;JS
z?Yb8H^qcKO6zrwO_~s~Ff93YYU|3c=vrHL|J?<rQ2R1r4`JWQpnG#dr16yA5`F98o
zx*HKh+9Tmzi-r_Dm!I|@X|MGrt0Tg2#M^{!4_M_|QK%5i{Ul4z1-?Ew8OQ;j`VzcK
z+WXeEBW>*P@aqH@(jU5AL(R;v$GG<~@_yYYUy+3gmWzm}ChxNow+}GUz^xrliDWz_
z%PAXgf~!@$wpzeTUhMia;kaMpV2&o^r^!Btb`CZWqGluGlSV~_dK`A-?f*gQKP}u|
zIRPg=>2P#|Gg5z+^}@ciS2=FO>EGR)`(e9Jm(l~_r~XuqA7N1y(Ho?_SenBGy5N_7
z`~Q;moNT|#R||JGym%A`4?D6A*1=m(<p@21w=;URr@*$uat4p#D~}m>Jb*(46<bL>
zU*#540IWMMqMZT1zr4-Z4^BQQQhN{19;Y;Lh6kK3I;6mlH$1)P2;cf}ew_68=rnJl
zEzIt?@HzqhaN_-tHM~1{?hqNDR6*5!r{N2Ww8JrQeb-GMBe;&0@(k(kdhU6y6R=Zz
zh)5W0Uy^Hm96nm+n??FtFZYp!JpAm0w|)>@E@qP>3(pAOY$olMGj!pRAnev+;o=K-
zpA??n4@;$=o+0Opg|dC)JK*of#1cH=UXH&9*<b-yKIZH2TN9`K|H80--~U(y>5rp2
z2G`c$euu*}<b3kbT;M`0d`FLYBia5`ggE<q*z6*IZ~!cN@Zt7)*eTiCl<Z%oX?9x!
zT+ZV;LXQ7+Axq0!V$SlSXt?hMmwXLe^YZ(<hwyF=pTn==#3MWjnefpADeTqog7U5B
zb+F^P+3n@9{nnR$4X~Rz|8o)#kl)EO5AQ6zm`mabyr-5H;I^-xoRzSXgXhLgWW9`b
z0edm5IrXZW8fKNO=qQ0HjhalEU`PGwwiob|yZ=PV`kE1$<-h{?t21lyPFVeAoO=vB
zu&IWc2mW?GsX7Xt?R@IP4$n!_mfwO+<u<O9^*kasc2eAgPYaIS+z$J3Sgu`yt;*=Q
zNqtP(x7Dp++0^MIW>_V+LFp7cF7r=i8@!|GN00%W$TD0`5Bm#l4bX-^&3uX60_#M}
zwjP7^<Em)M@qNh;sXq)STNmfk!eg7t8D(Hvin~H&eNfRT9o>GIYWUViN_d`M{Ukqp
z#nDjbFWSpKq5Rku_>~B4BPoB-VPgzEZ2aYm>Tkqpgf*|f4#jxx><T8|JGl?{AE<!o
z9H|(|`lL0zJ$q7Mfz7pM95B_^?4DFO`QGv<FFadR+u{W$8n}uJ!TJHp{ywmGS6+z(
z+)|=&+YzoB>oJ#x?S=}ZoZ+GZ#_vk-qjOKiFT*j;sii9L2EW~t_V8Fiw~`iYR?0kP
z3G+)`WH}By^!uh<f(OR$B^kow4cC&-!Hx&`u8{As3ZLrHS-@tTajw?zqZ}#fGw|Z#
zP90lV>;2XHB!2X~=oDFRSwR0F)eb&w{%A)G%<?&Qivw)CnQ1Rs{~1zU$9w~Rt>dMi
z4tHN^_I8C$-hVeMfY1J+`2X>KG1R;B0*;n?m=lONujY5oCiolE*JlyLa>tI5^@}`@
zEdC_IYk#a9{=hV2bSqKtMM@ggHP}~*F(L^T;GP{O>jxv_Gwwvgee%(TWWBL-zI%Q=
ztTn=}N!B|b^rXlm^;g@L?No;oxs-Orz-wCD_8Gywf8Ma)f!%Cgu9EfF-oq=w;jog^
z7HV5qveh9V0It}Z(`N_MFJvtQ!;HpMWA5;tpWA+V!y)M@Wu7qC8Qt^#u=C&FbrG<S
z^-EI^c(gz2UKD(P>r^ut4_C~m9;d@HqM8ji;f_vkw+z@~mzT6V{KtDBun^|g?vNnk
zK|9RhOcBf!Hr7buRVVa+55u~j_SXGB?l9Ui0)H){nZAX%<t<zDzi{Ja*@<g#(#BQs
zb$IE&{xm0;qL#mud_OR6PyK-OuK`nG82LWr#)ij+WPIsre%VUCKMCH`sz=6GxxwY{
z<ok&;1-3L~d};klv?t$Bc!Y#flJV8h!lg{UpG#!pe{Bv=PU+N<?<F$t58US><qxl1
zkc7ik%)jk|4?9=)3&Dq2+pD_n;Qlx(<Cr{r|Il^1PWU*Db+rT>P<v-48J_Yg4I$sx
zeAuBaeGjI8euF{=9w^oj@`X3CHFzk%%nw;yykT`4-zD;ULmAIB_ro%+w$#Vq8k5W@
ze)!V;oj#;Ko+=HG^$<KSJz$ec;`5CP5*tW)|MI;j;cl8S{&B=ZDR@#&!-;P@2PfeD
zw{G&ChmYj)6(+%bv^UM2;C;8wt|gHAj<WZX?}b=PRu+O_)BkjCUxD3SWE2D866xt>
z^8H@yjc%zMaNP2i2R5(^FPE1KEWP*Hc2fV~*qa-caO~9U@{6!k0OMN=IEdLq>MYDc
z|GfAlY%^@scaD@#qWw=Fe)V_GzzF^w+4uJ-{Pm{|zcFlVEvumkPxk(orVEE&U{F<p
zyS}?P>BFwRPN52L^ga5iqi~(KW{?ytSLs%v1uOi>Z<l}z6`5sJ;q2+)79p6+-Hq-D
zoRPk=O%OJ$WAvAUC9*o0d0_vYE=Ht(avo`%<%Ye)Xxd5tTzIkP^bYvO1M7!}VBO{9
zwC%8@_bP`7*?yDj{Vni3#i^NtaCH32H+tB!;JY>XzUp!Ir!SN+{Rw$l@_p46KT{zJ
z_*_HFOK!OAp2EIA!N_0tU4cCC*EjXoe#1jmx&PSV%e^`FKVg>el@2nV=hbD4W?`z-
zK<)p3k2A6{ZwNl1&ooEA=Sf#eULJ%i&)l~q-{b7B@}BR43sw5$nBcrOU$Z~Kr|EUy
zk?(y*7i%89hofJH#F6j2w$JdJcEBFL)_3y4iv#}|H^NIMho<@9_Vx=~nqgjsTxVg}
z@P;&9HQX;btWJ)<-Rkb!8d%TNs6`rHsIq$f8df<HlyVr(kmVA13paAOJSF{g^YM4S
z5_nJIL(k*ziL<HE<*-#^<Q+4(s@p95CCr^&ZfXwyUMo?11xH^IAGL-ZD+S~p!6tva
zf-b{ia$Y|l!^db=7+m02d?VxW#50EqZo)qn#8MOCJhc}x-tg>+!Fy3~qkR*dFPtCj
zMjZ#Mr@di|h4=j8qzHqbm~~CW!LpP^uaZdlj-*|^@cx*?`O$C~XW?ugyk$+bll<Ph
z?K}Mz;LcyA?<3%)M)6ZiFk|&)`53tG@E!~50Nn3z{8hdO%YWV!MFszUbs{K}l$Wk4
zl7Yh=vwZKvqhX`LvhdYe4bu$x{m+7jrm%9ypYu=QMeV5eGq8SeCTl6o<i4FU73RMD
zfiWMRf2Y))2Fu;8tFD06QVMCm!7NE#6-6+!%W(g9Sn1>G>!d$|Bu`k(!mq+ETzdhl
zH{Fo@2{XU@!e0O%`1iH!H_RjUeNPVDV@MbN2hO@+*+ce6cKsF$Wgz-9@Zv|ZzpX6E
z->Be%tv}kI!>Ke6VpQP5^|t0GWcyEVE!E(iV$P=I_xQ_)C>`LRq3IXM{#>jp7Pp80
z#7@dp!U8nsk4M0gKlZBB!%v=xx`n|;Q<cjNu<~l+hP&{MqicWL;mIOPky!X*-2Imy
zVDtCQg~_n>Vt+{=ER_*6k_5*-Y#Si?lrLI+{Ut1F%r-Ix&pP>K<ii53i^KEq3qfhU
zX_(tPw*Lpbx7dSc7T$UNXv{S1H267d8UB)fGl=Bl?F;5Qf8bve{EDRhruKIqDS~i)
zb?6o*``_Sdtwjq<?H0dT3!e@DuVw>$WoYoyGnjsZm+U6kUr^%(Y2U^}+Y8rFACJIH
zYAh_`Y%fUaGhn<pLB^v%>xRr##M`u~dtKop9}n&%_3da4=D7t&>Q%*({cGuZL2nG#
zM_2c+!$<F_8X3V7=k!l4!A_U^)D_{crF)yn{?j$zij;@nXTLZy4{K;dxpKl4)UsjZ
z_jXMvR_}x<HLIw8!Pk1Vo~;I9{TuBjo!@YHCGGMG{4O!1ZVoo|4*Na~Kks@kM}9Bv
zKV#7$SUy<q6=~mVy1jy*V3t(cAkw}!IC5ON;M!dw8^++yq-W<|!E|R-G-u$=!fmX@
z@PtrpE2(exOV)ZkOyi)$N{%mOHvZ^c_@#D9_#*tic0t+`ZhLZRBRRezhglzYI5c~}
zo$P;;gQbTvyqo)?&H|ja>yr3&*!kD=$G`C6H?@6M@WW$sH%R+F`K~m033jveSfhd8
zTN%ILhimyJg4tk!I+;uRVGVD0MsB!3VeHHfcqaH@0WTagTg9{!9ym}fa{zW>WZAqG
zrvA=GCj!fq|9Hy+o2@^MIs}_WNtbVit8T1akb(b7ZE<9P-6>+mm0@%ICwD4%yWDW8
zDts^fUpEb0Ge}!+02j+BbZmelvQ8zQf-OH({37LFG_xGI3a7TtPOSyvdDWWP+BG<q
z=lT{3#G{otqVK>pK1nox5YOwqXb}br%3iDZ3yYjt8IOZa-sToe!L5t8LlfZxCWC(`
zVcpho$|%^T<L}Z4+_G<PcQm~3mAJ|mxT-l^Hv}${FqG?sFDcY=hr(wqA_G3b9nTKj
z^M%#M3cTLK_Yaw0_J?cF&o{QhzRtB@-C>q4`HDAiND60=7ra?Dkmfb~=cD(An{e6f
z_P<ZzWQw|nZZP){k7f>>Dz=}~34S>rB^3j|7<Pyx<@e6bdPTvPCE936`_#G0xOl_C
zs$)5%{C(TBiresP_z^xkc=zjx0tdJ(UAyiIY?yjx%^vRh_E^aZ=DO{@Yzg~&WH4F7
zw7E+v7h%QlwUBeL`}HtEH8{4ux|Nil%A_7X0xNI2V(0*?+pBa+!r3~9mmFc;siKfW
zuvh1(2RR<|b4xdO!+g8lX36pU^n||Sg!?#JZOHLx$JW1~gdYgY_j|w&$AdX&$o7r*
z#>3(D)aY#+;F{%&rIGM^%5SIW;Ep!;FYjRS$3M?*h2La9W2%DBa4qfI3y+p>?AslT
z=l60|dv?Lw|Mcc?!+)}imU-dnT#s5+Sk&9`CkO1rZxDY3PJJ`Wyazt;MqBV4?78${
zGdsNZ0rwws*v0DbMpC~=c|mqEoZOO0BMe(J_4Fjcqgn5qMd3T<d%owuO8Cq6GVtwX
z<!#yU&XQ<7C3v=_`Cv2L`G;9c8cy(kzM&OPcT#&LOSV6=!0;K4sVd78hu>#*eI9~K
zWdh%m^38W&JN<@lPs}wOgrha?tNnq`=Z4%CgO{HwHc^CN{>nUiQvklm!I4Y_n+fe6
zJpeaeJ)gB54o-F(;Df6iWnFi`SAQ|Z@WXG<5B}qZnU7Q0Ed`)GGqb)5!HLHMxK`jE
zA-&6z@afgI9dqz)Wk&f!@ZI?nZ9n08x#D+<@RL)q^%F23qjRh>T+kmSJ`F#OtWML1
zBaXHReS?)3Jsb^SgRWy=zQcxYdsoiF&P!f>pW!Ph{S9XDfcu}wVVEM(U-uF$r+*-%
z2TpX8=C*;A-ak_8gY(CSA76v}jXR`2z||p9H=SUG@v4ViaKh}UzaM<f<7;v&yv`GS
zDgfRkaCBcctf)M+^c-$%GU9H7BYnc^^WiJ&?N3QO#i`3?02X=HoJr!Jt9%cChLvng
zML)rR1MB)|?%;TN)db$d;$NMg(!nA>b>hhWL?~62aKLFrLg7s?^+EfPU9f+t)C$?3
zvBJ`L5qKn+?q@BWe#pXF6do{$cw7&=Dbmi!z!aa%QY+!`+j$kT@FewkWevR4m2uJ#
z9-qu9c@6V=X!07tmEi@vZ{d8OyQ0?cRX2Oi5}2v%(0{ftLl12hiC0_Sd>9K)re3He
z?S1k_qj?zY`>~O62)_P@zt<0TrP{$Z2Cr~B(fGm>?k`)$;cwOWKPj-8O6my7-zmX9
z&Hz~3STk`W{A}q~MmQX87@tb=xr@EvLnypbtageXK3<?}5(hVw$C<LigFpO&W8i|z
znp?NSwEEnP$uRZJd+g-=LY1zom;~Q+KKY&t?*A}ZlMdfsS{)?$@!uUe-V``xqCA%5
zhi_qL_G8%M0(0_V_z}laPbT~)?USAy{C;bM`7>CI`=Bv7|LH~LL_CEpb5|MEVNOGp
zZG|w6gyA+Fcy-M9NC7;sd2jOx_|mPJrZU(dps)8FEMCkgPz--EEQ~x43oB<luY@ZS
z>{715m%R%ZUc-xKI)+a0kN=Lu)xb8dvd_A~q0f#~zk^pi-RnJJlS#|=kMO&|!L|Tc
zq{sYU2fRO|#XktX89Niu2OD-@^7MksTo;T6V7m?j2_N`fw%_1aSWD!MYzS;M>p?#X
zU)>$Gm0Vxa9u@FYg<`zty_YV5X9d-m|03S`v2VH*b`EGxphTR~BXM&deA#=i!5ZRz
zQ!lIf;c>y7Ub4OE1W)5AY?XSQhLrDktmgF%KC%6G1U+1rQy4f6|4plWLkFi>Y@DBi
zH5;m%IN&li*VPsHN1Xp}c35cZ;}@$Wu1@961Dmw%F4>6rz}Ed$dE9XCHhl+5xGPgx
zN&w#8+kBlKu6nS1aUcBj3dMmf@Ywh3lLz5>X>W<`@bcn5b`f~fzqjvp!!MrPEj5Nq
zZ=Gl&^QSI%rEw$pyF`LFnLqIlmpYiksfGN(qOft(xd&!&yiLu51bnnbFUJ9PzGw1R
z4pv;5?XicoV)F_V;GVnI=GS4K7WFc9xck$85zg?jt!dXZ;YyWTtR67?$-}pF;p!v?
zH8(i%TcU_Qy!_s`(HAy7AbH3H{-eOM;tfkPBu$-xU6q4whrmA9C^wV&q;1=M8B+e>
z1J^1Kn4g=W@(%o)nzhj%W_Jym4u(Bb=?(?M8K<mPlVICn8xe2V=FwDhGTi&(T(Tcb
z`>d%a7v8n{GM3ce7pa?*2Xj6X)*|!S$({<)Vt63SQ<cnD&$}saEQQT89iHEUHz#m0
zHo+!Yuby0ky_-{po8hjx1LvGz&eSc|ov{292O~RJB<7AxH(WD5N^cKW_pMfZhU4_P
zsVrfaFz2XYm?tc@oXm&+9s9a{0ycWm^wJDgFEbgRgh%`2?9AcDsV0Yc_-57>i_>r>
zhl27Vyw*9egS014bza>XJYi?{p9)N+H7iRIhUW)z)y1l?5aY$F&G1iF!8Ad*<%EwE
zGh7-HXmkLM6k9H5hrREXYjDDXsu|~Y!H<o%uI+*)9Cm)&3n%#=o+k5U#`fYM0hl)K
zP6i`vrY^cg92OkNi2aB0esQJZg%sQ&hyUk{_^%=vX+_v;cui~qaqauRa@640qe|nG
zu=y<qvEy*7&9BslFw=(mP*eE3WyeGs{Nb4zl_6~H{i>JbJ74C7C#PY`gYP5Be6ua(
zyYP89a#wlK9avRoZv6rrTJu364F2@`dVn2lVO1*S4~GkQ7}>)`l<$9#^AY`)je{<5
z=jj)t<b3s8hAQs{>^@taM9xPxF`<%PaQ{MT^i4R-J(S7^Zu8IAbcM%{Z4C>7FUtoj
zIl@Xmx0r>(nKcQE<op;W89y2edx+Rh+rcdNA`9=rzw&Nmkom37NjA9@c)dwA*%DsA
z&Oo0A=c%30zXS_p+>ObCCz-b$Bj;y|fZ&TcaEtHmf95dzKIX{+Sb}1B=`_5fenWX7
ztYSZwYXa~29HR0DexH(&sShj3-`H9SQ*6jSV*np+_?K7@zx--`QX6*uI&RwtpOv+#
zAlC<mpuaczU}gU8MH+Cp)TrhFoV%0V{wOSZ{7Tzb_)$sKMP<0YL@)I_oFQ5Jo?MU0
zu36<S!-c(;_2haLdR4>oH>`NU%2NUEXX>EX7>@IQ$v+n<xTH0&lL8)<UKb?u$N#<_
zK1&b(#vK*8K8~GZJ+K81D2eP5g}EnF3%0`v&Rp&LVJ6<2emmfuqwIl#ure<N-5%KQ
z@td>cdVYGx`Yu8E@r5VMWIn(7b9kmWT)nWD_AllG+Oj9EOTuMO7%JD`UoM~j$it0O
zfklfjS7dUFA{?1uZ@&z`Q9NLv2`7%6JWJ*muX~agv|udHte=F(>?;2=g_+)aR*b+O
zDx5x;!5kONT)x7pt&}F0;EF3%mj__Rp+W&0SeWnjCo+Gj2<$!N3foKfwvqXok6;kB
zJ6wOZ$iEjZuV#<%gS)xuJv!i1duz@Gz`gQgVjtlUiPPW0VMcM=O;6#GpN=c>aEwEm
zUN$UW+2<GmAHLvqC>rKs@*j<bpYte8#lQ;{yX@}6;lAFZcVOBBnX)Nx>)jH{D0rir
zV_Pwtt2g^62%bK^lu`<}47Qmkz<-nV&uof7KF*97MZ!F-y@E9G#IGEB@_T)}j`>V5
zm;Q&Jw_y5b^E}(({KcpzZtysFc=m4iEpI}K6C9Yf$&DLMsx&Zkfz3kFHVD99`wdhr
zVVmjT^aJp@YPuCG_$U|OeknLUpK{g=ent_yatQv&eC^By*z{K;)lnF$TJ%j|3!6jT
z$KZt9+o;dNVtYTBo`hNW{#!o@*BHwQ8^VUBySR*D>W(c{SK#`yf4Awus&+S`uflt=
zD#ZYPH1I6N8_vBwVkHM(W$$1NgqyEKa45i1Zyn+zV5QuBw8HRq?%mQca8dPj7g6|G
z+Swx+@Sk{@%lqNZ?mX5<@b1f>xdq|W0iEP$@G+*XR9oSv&SLa0;TXTXG8Wh;{zFVT
zoO`(;<&Qt+bDv`=s^A6BvxaN%rrpwa8sYAk0+ngl;@~5}R(NSvX?X^gD>;_m1*@L<
zHvJu*b8`3j1n<wgmN5?3T;rx0hFw&jNA<vmv|O`B;jLdJHTqzhXs&}(FvI3H`48~x
z=NkW};d5#Fzdpj@m!|`k;86E(<ITjH%tkBlu|tyv?_oJD^NX~RSiiFUx>h}Wv)Ef=
zGo0t)$K3`?BypS&hG&jb3wFa>29`X9NcrrTp-=FhkI9shFu&i9i6K}`$VpNhel3!n
z@&&e--BvCOKVuflnt<C)$0lW9W%_!vAMna_h@%SZv!Z7`4`*L9N>_rzL_$6+!CTuB
z^YmcN_8kN3@P-)k&nMu3%am&rX#Wqr3Qjh#RITkiY5zabuBvu0pK-yte{jp;5?y!L
zxoFF&Wmw(sCzmH2;bHW46*fLCDjWfyP5qNQ2{SJxwMN5IDfcX<;J2=_hWFr~TgHsP
z!n3QkeD~ptl>S>tf4!QgdzuN$dmH|2g`MpDIC9`SEaQ(!`x<)lKP-Tsgj|fRgwIe}
zsusb_)<2I{!TOdojTP|WBZibAa96&iYcqV6p{eu^{Kj+3hEDj=UW*tzxFT*!sUOZ9
zYSOfa!}XKuM#=W?s3c9{o9>R6#^BLfn+Y>m$%kut7QVCHd*~GWMsw4fpRgIzm$=h#
z;=4k%Rk)0K{*Erps*%X@7d{_Xuy_)ts$b-0h{F5Cr1BqHutk6O+!ol1b6~R`ytiY-
ze?Khl+VkI0SV!xfp&-2Z?1fJ!U|wqXtH)sj3!PRCctfd)(h1mHi&ciycR29XadX)2
z)UvQDJlPP<c>&&Z^-ZEW{P^9pfD>HhnGm4>3&z*~c7|v4f2%3MMLpNOJzx*v^n(ZC
zD<iwPz2O$EwXdS^CWp4i!ElaBLOVBnq}oO!45rJP4&Z_N6WCkh;KOCEj$7dvnMd}C
zaJ+33KP!CD==6LVoUea}lOAsP#8&+f9$xC{V1V82nvOk%O(J9Kso>99LF~_9L&0GW
zYB=YGY}zY$pYvU(e|~sg^>pECF+5H&yzf86OZR6jRl<yGk-L5)o<4l8t_qIw>-n$>
zXMEVI(*#os`!)Q6)ivulTVR#!M$ZM<D$gyW6Q-cJ>O2Kk4GB7T!*eb#_s_tq<wL(e
z!@qAE?EVfj<%Bg3!^3mE!4vS@^iuavm~;Kw?Jsbmefr~hSh~&EU>tt>!KG?jH1flr
z_Si6-9kM%`4HlYVP$a*nMNOk@0E;f99VPp-?r(feAC8FCdbtdLYA^G&fY~HoWX;0A
zS1;>W!eK+t8%X)@d%V7Q!k(Qp6{J4D7b5vyFbzlH{y8`{F{&a87TQ0#_8#U7Ik1)h
zpS>gTvI8zx9QI3t-+lfUQwqN=&HeQVe$cOUv>etAvvAFWl|oCzpTcwHzB>xw&F#O&
za^bK~hf~Yok4a`9?!%V)+KLtM*HaDhY4E1k<=XGzw?F2^65;qYC5{f*o@xJB5?py}
zCA}BkVsv648m_wG>evr2U-gcTg|}LZuZ+THtkMHR;eb6a>c7EmE*)~=Fm;gai5YmE
zgPPwHK5cep`X^lFB-Vc${<3+S%PKs?r_p``F5DNa_7|?Z<`8fTw%1l`qKv`&vFOmN
zHt>b7yKQM;?!9?@cJOZf{#hoN_WYYIXW({;tO!<kaNk1{W7vjklA0dQ$*Ex54?ns;
zF}fWdX|HY(fXANX+Ht|Yf|XT!;6<B-!+T&eb-55pm@`R((hDB-r@wswwl$6Y=nb>x
zsy`5e3+X;u--C6P=we8HgJQd-@56hA#Qu`<e;OYgc?J(wPR;Sb0zThap2N9)ThEgH
z@z%Js=PlfJtyY&C&I!+*tAazzCQEr?b?*b~A7ILpad{lD-RWzso$$k^k{w*I_RYDz
zZ?O4A69zWe^0QdZ82sAG?%fVpL-LpC99;5@s+bA(J}tW87woUNcMmJPFEXEjA{O)6
zpyF-xu)gZ_03|G<+3m#$>pXFo+y+}ko4ZiM=95oK*<jw{D+09e#}ON4ZrJO^&t3n)
zOJ7nLdEl<5wGSKNXS(O(1z`hckNQ<#v=3dZ)dBdhZ=lCt_|vrElq6gnanouF4yt*6
zM+ROTb>BGyN6tAhtHAQK<`kddV#dnnN8q=aW+g*#lfT~~9k`nz`EEUY-lI3;B&?|t
zrPT-@-I6AF7H;Te=FBF3K5)qb_B0o=egYe`Z5=j&(@Q3F6JX8p?YGU~PzCzryRgoG
z+RKJ;c&2@1I9$J7qs|CE?H1P;3P-NpQaS<eoL*}4gWdLB-J%D-Vd2~93sVoI1!=<S
zF~M8h;0rrrjE=$OwB;tZ;Ntu5-YdiOaeGc&gZ*doQdD84`k1fw@KG^_XffDz^S>TT
zc&KLHTmqiuyM6Tntn}@~Nz&eqymJ>#;D@CL_wd2uyq>G4;HM=)EG%$K|H6z8Jl<+C
z!V2eCMFwcW51tlxlK!`lWN=f3-~1PzK?U<Qp08DgMH!1Y*Dzl4HHS-O;1SorAM0>=
zVXU4MO!c8_a2mciy+d6Xe&U&yI}4}O-ii`}&o<QUCFAjGZh$KXye@j8dJ?|mH&eq7
z|GDlYKLRI;-6&;-H%c7b{1v7*`AW$IPpY5v?}t4e`8SXGVE%vYZ8(V=bZ=t&4i{`3
z+B5)HK8apvh28baoW8&T0o=+h@Gsi#A3bowG{3-WShwkKFe$&OslufUR=vG_BgrSR
zO?75Du)d5?>L*zB%cblr`2Ba)9q-{O*K6*<@a9?RlijfJi#_#$@ZO)=&8@J4Npko(
zxbeSpA4!}(>3pv#Ea89UcpLm--Q?YIm_dPeq60pxuz!m-iI<65G{X0I9{do8Pw{ZK
zlJfg{t5YT6OI+Iw$^P7yI2?BXc8W6N>4onMnjIB^12!6DljBVtYnA7RSq>)N9EF2w
zSRV<%?J0f%3-Hu?_oO}Wku!A$OEBY!u~(!#x6G4qM)bE-u1d~sxck(25i>mg{zV-x
ze8sduTL{kaUN7T-FAq@f6o#iQkMVNBmS=wLQ-lk)N3gNMhiwloDZxBC1<gBPh8aH3
zqp(BX&q^j(ujHJz7A)4o;<6PMC@}m$^7Y@ijtw2$B^{bZ@{MVe11CLP`q*b5$;X<n
zU6g;l$^HJ<>hthTjk%IFSg@gA%NA}dcn~rO*Ec%(U4u(D$8`0>t2H<OTEk+U0-Emd
z-NEckPdN6UcC0I$6_dH^I_$T_I>-^u(+&S|13q;p;^S3V;$xtt1AOuE(|T)oIMYs?
z)Su$i!*U7kUb1*f>Nlnpo6~_GUYKXS0{i;e$sdQ~`p3g9VfBVgK6zNtBv`-(4w<{y
zqX1V0#JwQ(F_ez@Q^7yN>h;L}B^fJpP{6eJUNySF(~qvDk9y&H+o89?10K+#KJ^Vw
zX1WyQ5ASPcROo^es_ydy!_Qu(&2_`V$6jVf!L0}4TPone?Y3Lv;o<CE-f!Xir9Me1
zaK7#Dvsp0XzHJ*bVL|tsj5+Y!*MlLsaJ$dpAJOo{&$OTU@SS~mDY5Wy)0<mm@c!#Y
zZtn2joAh5Q;q|;KVNZDfWg(je*zV=cZCBv*SIZk);8UW54GwVfPqsUqFw>k-rV$*?
zC-SQo?%we7v@smyuID-eZ`1YC)`MU4KGOIKPwV%t>%$?B8d|4dqg<=+DlluMjm;cP
z^Q$yT4gT~YY<2}cxb7M*2a891dc6vdO0_5}!2R3*s!_z@ecsPNNhx?TOpTceR_FLM
zb_jO4W0S}Ldj^K}i@>twxmJuY&%?e5QTU1QhbcCA@bw+v{qSyfmNItOsi|8^5O&yb
zScM19j`I=VfukSa*un?*O0q@mg+Fen=9Ge^{+0Ocf-@x7Cl0|)(Ho_?;N&NKj!JOc
z=2Ss8m@(c|Q3Zbb>R|Lv_$hVH@sqIU!D|1laJ}CUyCJ-+K_|ls+xTuuH--0KOBAAq
zxl3gn&cSoMd@+nLhiZ_=Rd};bb^tYebyM*%M_6xST80*Gi2B^_3csnka^OGs1>@!v
zclh7!g&0b*{fjfXVX(~U%YlDyBfnnzyGFpx4-Tb~@}Xb<Y{`Pf>(XL>Bc7zsH;@gh
zW?y}_4!307bF7A+?`ch2f-gH(Db~U_x=vHC!u~u=I^D39PVVYYILlLVXAc|`P*=YK
z(^j`1T7}~u(3Q`@uk{xw{=#fVUpp6JeqNiTZFh10dc)B$4V!MgbBPUB;MBOg01G|l
z@jDEcIPZE$_P@n$?Ughf(o{{e0sF7kr(SauRvk{;Mgt2D?_Ab^{e)K=Nc&V5E8NzF
zbM$+=nBnyfhI}1(*PL_+3+#C7po|fm$HN}a0snoxYG()=Z}mJz`ujL1$1hV@*WkPn
z84o<>U--_#GI5Qx`(T}n4Y?QL$kDv*2VvXQs?QhTitD?Y$oRX=Fl=Q9JAS16Bm=kK
zx}RtR|0ue3M;1;$Q_AHCFY;I<sKQ74uARIJZxJzCSBGy7J~{6Vs~D?qJ^?GFn8e<O
z_Z-u7BKg(l8=f8sdx^<=nZQN<hdaaJD^?ad=V6b;q`BvC@SAhWBwrOr=icPQF?r+j
zq`Xi&jd~d@^lIoksn4#<bn9z)Ai?^c0c<aQJ*ftsJ#G@N4f8J7UaEtI6D}=~{W-3=
z?D7fDH$Bv+2p?{YWbB8fSWCi{;h;O&@uP53XOcHL{utM}i{Id<p6rt3_!pkj{g{TY
zPc8C`!?q?TN@ii^Am=^_c%0H!X$4lu)M^!i-`Ql-ufnwF)FerJPiPPA+#HYma%J8}
z`s1j=u5o(!Nn%(Z$@h5|nXB92D;B3(x#2u+XL&YQZtpQkK3JMFM{7SUJWaEY6LvT?
z!X^l>cKrz_`7PkZ&Mya3+%NDZ`Q4+gJ1-9>eGrsnhugR>yQ#y28Uy@fe0@lNps5L;
zk!cDi`MoyUb;_8O&vEi5`F-^l74I2%uF8Cj<afV?qS$44yZFCelHbMam)Gs#&t5L!
zWc+UN3=X&s?@ig_P4ZRjW5LOrB>raUJIU|;rc>vG;kn+RUXmYAl~_gYz<p0w!$|%f
z(-M0X1OK~@zmy4Y9zW$92lF3Z7AN`HY3)q=05-|@+)MJawKA?d1un9h>LK}DR9Im4
z1WsX^e)9zudONwC16NTQIgY|cYqVZ3VJDgPi~Vr(3-05u;L_dFY=bc8Mdgog;LHD>
z(sscm?FMO;@cVA2H{I~T73X~o@J#XD%a39GYYB@V;HwmxC7H0Hk&{Cc%*Zn8;}1`i
zOFry?cfQMP^Mz}cH*++?QargARN>cdwLYI<?&YvNWjN{W-PJaDdPF@|6qfd3k0bRP
zmK_`xf#s{m=t=!!4&fj8VY;Uedz;|{i5^^gVe!{jPgcXMrUT5oVCs^+T(z*+r}lFk
zuyNwggx9c3j<`Mxd?@RoWd(fU=7AJuIPdh8LDC+SXQHBL;dpoUoMQO(t;j)YSZ#HL
z=Q&($xA^{_C$3-OcV=I}iv7Pi*Wqp6CvCFe=K~iQm*8D33zDS$$5Jkv;u-H-(TVbB
z>99AKqRLm;GU}JcBbf55Uc?C8kX>APAJ$XhbN&GHY7Q8u!8>V`-?qaOrl}nX@T<j~
zf(BUZrC>@Dyl+d(zdHDE;?(wN_?&g-*CP0z!Qyi=erSB##9qNJQm^)h!99vOA3TU>
zS}GIa=C)ZbclcyppiC4TMbEix0VgutdvF(iY}cG^3Gb{M;UnXXVvB!-A*|pR^oATy
z%2Qz#BiO~S;|Mw4WBq;-Ct%^o-ORZ#gRRhaUHA;8ZDJwJt?ALD30E{0SQf#q8IE(u
z;arE9)%UPX+pCcyuzGA?9T`6sZ}V1<!Sa@+ra$0KGT*0EV2bg7`={Zw$`MLZAIG=B
zicJZaU->aCE5bAlJfSpjq4ot+RX8`kD2W{wXYe~A3$IfBw&H*nmb&mCbaDSh5$<vT
ze*S9akrbS_-l8l5|Mw%_SQ^$*V{14B51!7^ItT}@7{tlI{GNJiqA+hk3Wo~3EAiay
zet4R@XG|3~dbaVQAbdxc_o_B*d1G@N4?J+wL{0||bbqG72fK4TdUpzb{Og4bC#<*j
zDdIHzbWHEZF8IebzU}AXK6>53ZSc{2gOLkx`Om3HHh5Gq&DIW{uleS~2)~YPk+O$#
zl6)kYVdHrAH!kq^o!9wk;b)nuAva+Ap)I|1@Nv#4CNENc%UaV$c<0ww1K#k;yEsou
zxVW9dG6WV+^St`k1JCF5`9(uvwIeJ%>+rpoF2%9%+tMDY8Tbj~bKL~k;=WDEEKFCr
z-kl0(NUG<I!5?F{XQac6n?9OOz>)=*1asiMIyoo4z*ZXWOHbiFjEDXkg&TXDJquwu
z3Yz&o*ks?}u_Cy)F#6E|{O+JgM+LFbxr9!*;E?=-w=nC<w`1M#uEKD>MtDK<nOqxe
z<&rqp1lRY7&%B2_FHPS32>W&~4AsM~!#~x!;BQ8^VjAIb%_Gf&@U4wf{#9_l+tGv}
z_<-Nxi5i%-d-~BFEGsnK_Zr@Mch>P2>@VaHUIF(7tNvbv&-!qB6~Vm!snq_3xgC?m
zO5i!$xZ_lbxc-+(tt7ya2{s<|uxV7SdOW-|%DhMcZ!%yK2!u;se+i?8jd!~C2f@#_
z$+9xR_WL*kPQ#xL9Pi%==U%!dZ35Hp$hP2xBTvWdJO=k<$gc9k?w!LeTJY2EM4y9j
zz|g{TS@?N62fGAJb5FrS9^S+0o+by&RjR2UfYteDrIldS;=pBLSZ`dnQWHM%gkoYZ
zT#!T=dJHy+IFh^%E^fEldJ+~C5Wmd^Q-;-KpMo=Vu86Y3X>|L<&cO~VgL|0aJFFdl
z&Eb*FY@J(S9vVr18`#{^x0Vj3YwpvvgPSgu-lT^!Bose6!SnW9wv=$_^Dhrw;N#~E
zIX1yu;p&2(u<l;g^+k8ACmQsr@`k$%)LtyZ*EfzG4S{o6AEeL1FT1^1L*XrRD^&Ba
z)iW*L`|z9GW6P89eughI4`8mloeXpEc3S3uVz@GS$G<Uny6%x)DV%vrBYy%m6yMxa
z1^4rAdixWeNWV`17M3?S>_qB6FxVU0K*}@z@%{tfKCjeJ2j7X7kXVBgFF(|M4|AC>
zt5D&1o@}J>Z-pZyq!!5W-5s>t+zo4Q{j-q~J`?;_sgwAy;wvVYO=3^|04yZ1sb&Wp
z_w(kTKKR|k6E}9k-1eV*N8zfB9RWP>2}Ob8FYwaUOVWIBMsSegB+Te5u0i_W%c0Y0
z93D#xSRwtN6fCwn2eZ`}P#=Q%eO*On;YrO+_J`r4E20V;lJGo7q|Z$S?h<!)Tt}QW
z_OP%T+#k`pvI%juJB;$$FwG#HFcnO#>N0a2Zl<v;WPp{lj;|TQ_w4SEZ-#3Pi=G?7
z+b=C#WrZmmqAJe8KK=VLx55U^|E`^fiyq$=;(#L;`@L-7vV+ge+2QAp^u+Dp^rnqt
zd*JWGA}UU>qV)j|Zg_AsYu*{|=<t5HAEpxx+2{dp^nKLLPvQYIuRP%+uUE_t!hc65
zs{>$a?;SD1@XOGvH%NXigxIkkf-8O-1Vq9r7Xox7;d6_F($R3IY<H(TY~WI(kp$=N
zouZM0N8cIzz6X!A$wjHbuTRR;WWegJ$7@tz)rI!5On8?@vbGldJFdJj7p63R;&l{e
z<@zb|0@eyui7<iVeZMG>^UdU-=DXAIuLZu0a#(2bbGr?!$iY!i4c`bJqO^v0-(_oR
zfIls~zUK`e6lLpehZh%%+HS*+59>oez%LK|I~4?<JkfZMoS)UT7eWHyN)|62a(<3H
zE5{rGJGA?neucyQgw(^};RM;fDL7CzV4?_Sxxm*<;?1H-uS(znjz^;7@VO|SnnpNl
zC}7Vp*?y~JR5PqqP8CG150}&5qzu3hTnBIV!#>Yj>^{TvH%tdV!?{<CTxa1AB0_E5
z@I&g0>OWzM<Jl5qe|Z+C3^v}w`RShnA32`Yoy%O5Ftfr`NEiG;+DBv?95|Wf)(U%1
z1g~y~1&&=3Cf5%;#Wo)<cxT40-Q@bglKnwv4_rIf(@xq?*?C8o04%(Gr|K>IC7wN9
z2=0|Q;_?nQ=r-Rk3BUY4XITbM6qqeY!AFM9H@$&dDke8-!g67h<*#6&ec#)T!U~U^
zxl3VB3+F)-Sn>E4=6pEK$Ugflti^grpa^!FR8qPQ+xtJ3A=jfC&m+#xaP=jtAC<7p
zjgVD$_|Mp<RkHtIIYUI;;2Vn<&Nssqx=ae8u*aaD7inKziVcr~V778D@j*DvPUS!p
z{A=F-{30Cun!4c*+)<@aw*pi6_;)A6ua`=?Hefz+_=+{%J@}cY)eIGEYPKuwC2WcJ
zcMNcS(eID>@RKd?E|U36bI{e1cW|}Gac6eeaF53JDmW!hk)H$h$?<y7NXoM`OYy=x
zPV0Bn!@gec#>xDu?0JZBJN$8NkebZz{;+brZGi=^eJ(o$Guxfg?1F8tUTGrp#}XcP
z_m8l{6TeY4`1Z|WrfJxflXG4h=6m3B<OjTInB~zqSo2pb%duqKKbe0lyafAAscCA$
z&KAqoHgNlKr#4;qs;H##c{p=#^*w!fUVi2iiGRq+R`h^-er#_b@&4ddy4$ePIV%xM
z_;}YT_DFc+rhwh1u(49+w<uWp-Uokk_*wbC`E)ozcEaT}T%51{HUqvjC)IxjUNn2s
zR!AJ8)_f9PADX*Y1nXzo+$Qt+!N0qCD&d0hYYt>SUMp=i^A-;L6}yMb=l3<mUT=go
zM&g+@;JG*5D$OuMe{l_&fA`l?HGYJhujXfx`SLGHp9`O0&CHh5hv93d^2di@S^EcU
zr2hoJxw4PJ!Z)8b?S%FDo~6ygEjhk9WIo#NvMMtVzoGJ2rh!u;Yx5`J2ibG+Js3~J
zJ2c!DVV0i%zLI>F`MP<23Krss%^>5wMvk6$0aht4oGXMI&DxTGz-JcS+R6Fyw|b!j
z`MrNP&Y!#w=g2rl*1&Hb8mPv>72i$H*1_%n{S_eR>j>%S+FW=!bA_Fp&!3%ij?RPq
z%cQNz`M!QggzhnX$yY-2IvlX)TY5IEmg*iyt{;|9Q+AU6vDLigauK%vtXhx>M_q2L
zx&U)ntqR_U12;70o4^<RYnL9te{XU9BlEf1KKHA4;V`Z}v%2sSy{cRSe0<77{sc@X
zvHUUuHZJ$&RD@|Vu4~7Tc;uKZnZHrg?XL-eKNSBkk%T)bzC?z?8;4Il5r@N<Vrcwe
zshy??g0POJMyEe~FTVNfez=Zy`8XM$w?{s9a>Jfi9_=9GbL-2aJX~<;Kf~zj@DU4}
zk#)>hHY$u%lJdQ&(+A1?rJO%P#szLO|M%}JTpO&F><T-bj@B84yYA1kIKuA>5)}Gj
zm7?22PH@P&NN6uCc#q%M4z9Z_?cM>W)aCNp!%>?%8{WefZU*-+!UcCem(;@prJdGR
zaNuq4O?9xpg4?huDbE<b^aiGjT6%g8)=(adE`wk8Dn8JG#p7pv3gAThS2iSHX+J)A
z{{l`CH~yjlf0r$&%!1>38gq}r&zh|mp1>gvm-i~eveU0x17XcqR0bsf8zx;j0$}ls
zjAlhxT7E869yUFr`SS$)Wbdb5S=iZc(3aG{);rWF4u4c(ks|dgv$e2^!Hcq4&y?US
zis5B$xV)O`h#Fj_*`>|}Ta+cfmW4li4NI}XP5y6#<l)zB{eIivaP5;DB;ldW3m2*2
zOH;A&(r{4Day|w8_60BFL0BVQO10Syw(`9%2k+jsW1$6}uvp<e0;m0;Da?iWf<NhM
z!=ZAYv9tv914q422Jq%5MN;vwuPCF83B2y<JC*<|O5Ulw03SAX_!LRv%vbJ^{_^IO
z35kX+?~F5({tSJmNTUyb)_1aTgH;k^jCA1=^|@g(KI$)OA5wxV=xlC~@#e0ag|5Z(
zn!lqnWP6dqyDU_&ys)<`8DBDUyK6VWZGUM0^M!x;P8Y7bqJP&OHk0u__0;9k22x%{
z*dPpEo>VYeLHyh5JN(}oJTIp-<@^U<&HEwu0>0kGO1}&b$9r!ofa4C$eBX%e&BBz*
zr{Osr-DNsBZZva_oNt~uoxI8d&wNyk-+mwKr!Uudalma0sm-h~ZFzniH(a+($U+3(
zBO?50Km0$A?mM2V?~em`vZX1bq7;#gQV9)vl<XamnY~FN*~!S>dnGcGm6?d_l!WZ8
z$V$qWq~GiQ{(L^(=iYnnxo6+|VKLh~jtBnl%7toP_yZ*+pA77Lx~g3OK0~f$ECpZu
z6d7>^=J=rDeFuKO%$_L)i&>^tn7|fn3x^fp(WHI1!r)ETFm4SZ{kC#MC`|n*B3lnu
z+bF;I3QnRJjw0e}rT0my;r(y5KbgR(kE-5Mq~LwFvRBhBSRm9Zj0#q?+COLrtJBS%
zJOQ^};%U7Jr@Iuau)$x(8%FfuIGzKKuELQ&yE`=rfA3Qfg}dlZ%iM;a{NPx(fE`KL
z1+-xCm-BC|;G;fma>VscCCh93!^tlzgw^54ReRVT!6Nmym5A$wezL1dhb{TVM2Py6
zpm^3V6W-CfphjG;EiwFXEnNPfK|&GsbWobEgRi97YpcOaOGWPeuu`0$><w7<gtg2d
z{8sY&EoFG`hxXxBc)w@PjcYKKVL<L0>`;EokSJdv@u{nOQqjNh(<n>BUA(DO`(VxE
zC5-a0!?-QSIXLp}0WKo{rFkW~XW??@^$_BIFP@3D6o-d}^;3!RxGB_|CJJ}H)Kn(Q
zcZgYv^BTOQtDgH9_K!c$PsB;K3~mO)J4w@D$-*ZbuDvLQ<LcQPMPM-@3!`%QV^PR;
zB5v+_scHlc&wr{)#NABotj1tNR+=v|@TG?*pDe?3Cw@yx!e?BK#eTqiv05EB;0$jk
zXKM5pd0I@CMEXyH^&Gnh|GN7_5#Hz5`s6bF=!GAj6l_AzEq)cA+A&%#50{1X8Y{rZ
z8!eArhu1kp8I<6by^T**;7>WxoLaD;i}#Qce1z*>hz_i*#yf8S=Sv)MSB34P?8=Q`
zg&c=SBK;_f!wnDEX$O@zaX!<U5(ZDWulW9X6*#7VGBp6^FQ++i9iAnTwg`kXRNOwv
z!A0gtE8#FN2}P3x+~d+$6A9-8Ik`x|+^Rg1NwEIZhB489?`JgLlLGhYm@<gK<QCO2
zIq;b`rayUMRaq9EJeb$MBj*g9HQ`cP0=IieM{~kte=<Bv;R>ca87}xc%^&hw*zrA!
zz;T#-nC(LyETjE!_5|#2_&~b_W~o~0I}EGNXR@`zi_*oHj>1~Ln&$>#<z#v;1~@ME
z{@*Wfx^!RYA^4#IFYN;C5pm9AKg_?a(7y<aYW)~L2ygyJGP4bP$4kGbg&B^smh4Ew
z_~u4>VISNn|LOI9SfWJn1Qo3EZ#jq#ZZF>Th<N_%y4eZraO#kP3o)LI#n+i|!0JrT
zIf?N`d=JwCA56P6OaB-3sbMEy<ylziYns~*#53I|o5kVe&*WMwh;!>x+>(az^#}DT
zY<0nCQUT5_c)UIb=PB71DZzV^NAteJp-Jrm+VCQMsYngXvi4@(2)=FX98v|3R2tap
zz)xbz&GX=MnwKf`;lGOyD{^5M#sN<am^F3Wix{8s8$8E|^tUT2yF=lw0w!%$*xGoY
z)*s$K{Nsc=tP=az_7NQ4sGWZc?mKPBX$B8f#q}A(t{rkNrf^LlFaA^r>W`3{3emql
zsd+g`Tz`)DF)7jh7bA{ZnZa5G`C~Hh_pRt1Rxr<CX#~;VxF6XW=mfuVsDCI1=WkZ3
zy1>;z&HNH@=aZ9P9>Di)yLX=>(x(U5dBZvN?_ZyXn>~L0ehiP*Ha{lDAF0N9%`lig
ztnM-ke4|QtG!71Iyg#vq@lAtMr8gbETVN3N8$LVQtdj@ds6A&l183C^E*HQtSJdjJ
z;6ejq^KAI&mEDgzVf(qUcSQPTk4t^+@V8fY#4_M>jJryzVeiX|eMI{G#^V28!GEZF
z6_R1nwbP3);EHZhrc`((=Fa6}xYW8SJO(xpy~3CV(~yLnOn~n#c$ucaj4At4!(kF~
z8?_j?%F50>5<W~-nGpr64J?ln_dkCjCoC9duDbp_82%f&Hu4yj``yasOQe54)!_|`
z%&{!_!SVI86&`TnpI9y8d5C#VWIMy-y3@yPV8#pEVRrDvm)gN<u&5)6rx`r*FkOSF
zPcOQ=51YXI6QX6LU`vj-Jl61Kdqockc-ZTGnK5y^ebHw|Sm5PCrY^ku!Akle*kqtb
zR2xq98jGNUrCsf2&cH$VJu=ZACu!#6_+k22_Oyp#OJ0%yF8HNl!sjD!V!?euZsPb5
z4t;hQe@yHo8!YnW#wntGUY;W9XNRAJ4i*#blk?o6(u1(4`yr`wuxjsP69(A-?z4_d
zaK3X4-}XJ!AMyn*F}Qp6%!4ghCQ2t$5SEp_V6_Ib?KQU+hW8%%RJ96!v+0{6+Ize6
zSKlwNZOd1Qi?9_{*vA3bL`9*77k(?081xFZRzER$0S@mOy<83Z9jLLq3NP>IAkT#V
za67gV<@Y==LOmU3U;ivd<nNq-+tEN+I_plVC_L_=U=sjOCAKmU`AguTCeeh;jyr!K
z`kQ&RH6?Xe?S0R6BEN;g8NayU&y-@9i1U*LW<BMF*PUnI$iZ@ILD47Sq0Zo7dDu53
zNE&~mszJK=JRR}8Z|t-_e+=%c`!uWx-{!EKVuc^kKQOrs*SD}X?1P>C%KqO!$*~@C
zH~@#S=|3duSA@5XU!E(zXU}P<_JLES1O=YMi;>O}M13uf|9K({w!Zy&S18;S<>&Vl
ze*RA62+>{!h6No{2{WforNJvEk$yz_8?M#vRj|yWkYf_u#la+9152xR^b+YU1-;Ze
z;ZNhnrnYd&H&fbv_`did27CCo%F*aC`1iFuQgfK8!ccDlo`||tW&!6!AD*6r{oB?(
zRA7>bZn0&!HchEh3HG=`S2Y8x>^004g)4Ts+?a=FR^I%+3O}x>Y$DF5L!<lpBs{{&
zb!-;iS=hRV9X_(dB5o9Bzpmep|0&pDwX<|}5*{xY;Gltds8%e8V2)19<sWzP_cW6Z
zw2Z@RD?db5;LdJ&kpZ|r%8POUX80+aFaj4SEL9G|mIC{Z6Zv!S{}$N>JMG_mN!*W?
zld@z7{4ufV(kfioaOG$X{OoyZ=Px+&Yif5bywAfzeH$L0+*4ZyR}`qQ>`2FYec9H!
z0#;gO&Y^;@B@Nyzf_Dv)*wVnS!v$$xz#pT!ejR|n%_Ohq!r5nw>kq<5TmH+<gX0a{
zWmsTu8autmunzgK1v`9z^hDt!nC=Pf*CX(Qlc7dta0A~dayB?9M){>FoKC0l;4rM!
zM;fXDKT2rba}?gTO65_7B`A*mqlIIs{vMKp*Z#bJw+F5i@}QQ65B!unOWbdz*3|DS
zaH-bs|9-<cw;E(F!}V<}4oh%auXx(33*N`=Gw~$Kqsv@MX$?NMElEL%^94q&a!tWv
z52fOW`~Ri8JU9*CDm{6O4!(vZ-U$3DDSei>|DS&^xsJiq(mr;?{ZGUPnDoPnlN*A^
z;O6rW4-UfdB*U*c;fKd)mRsSW&<160*ky4mwH=;Z%^Ell*Dl|`Uk!hIdEY`1ez9_g
zs}|1J*Z(032T*?|Er1PFPx?s0##ie~3*k|zT{QA=MfOs94(xu%;-dnb`KDJn7pCb}
z($R!HdjDNbgLQNAPiVuogI^cZVRD~{d;_>WhI%L-Cfz&dXav9Zn-5Ba8w`3jE#bKD
zyY5B8Hd*XV)-ab!;iEWM{_7W=0C?=z8|N_i>jPf4K$x-k#)Vk;sD7J7K73+G>G%`)
zGW(HT1+dkwzh|T1Pvza2&G5SO8cQ(YPe-lZ!4XCST_NywC-R@~VdJ~))qe1#tZK~%
zxL>}&G5~hd6_)%0&(b7ldBWM#KD&nDGwt^%y<i<%%cv<>=;Y~cGs1&s7v^9&gB_k0
zu!GxS=T$g;&4K?qtl6><y#c?B%J-Iq2S)$V{(z-20&GR$|88>i5$Q8-$Q>1jsp%N?
z{=i@It?HSG^a};jWEm)5<D<5RVHv~JE?SsMMC|ycGrq@q@_vyH=Bk<Q`2(jdG`TRt
zu4^aaCSi*s4PD3K)P;JPX}B<=LgO?{8pO-m2dgk=O!LC6rA_ZY!+eABHWy)z5$D=&
zxV$+~KnNCErn2sVv(~-p#Nd|3GVNB_DZ$2H0zO_RL)8wuiQU<K10J}vxb_B)h*Rp5
zhh116WH-UjORwo^z^c+mBWhrh2ELP8@LspeEA{Xn|KkGY@P(M(;R<;FA@aW#u>7n+
z$SZicaof+4hzIj=hr_k|1+CrT@wxmj5pcrY3v0e`=FFw^`*3$l=#9s)>+3=#cQ{8f
zv^N5Nwu7DC7&f4OdpZvGQ44)*0-s84ewhX*-Ed7&haZOUNMyl!@4v`v!fj?}+MmO(
zMk-Fqz>$w0-7JO`A`kY-!m4?}6P55n#n(bX*nRVpeGM#@d`V9jerfdOza}_5wrtNK
zc=MMCV+V1($iKS7u%)bQS}$B0zU{LUe*16k*8tp6B6^Mt-Zo!*Fag(9i9PFZ!uTt3
zd36y!>}sLa1s|ur;r1J@K6;C)5I%pQH|{T7lHyuf1lvtcAEU@b|KwYc^%TB#Ph^%7
z9-nJgeFg_7tJv*>2Q1mR<6%|0|Nhd!{3L>365y{7XaksGh2+~U5pc_G9fhOtuR{(l
zQLuriT^|Q5dw1=m6I{FGwaN?Eep-2F2cNsH{FOL<*B<&ZGx&T*U><S2=`2UC5p4PV
z(tdJS=9zkw4tzGndVt99Y?$GcHattEqP&g!@fT%`5rRM1ELaoi`LZs|T!bG8bxmy{
z?sIJ{mH}o7XCom){32zkG!uN1M&>asEIq<NvjdK%(;wXrPf983ZaZRr%^|Ew4IhhP
z>S>1Al80L8VP>v(p6}qh;uK0me)R$m9!Y~odF1&y;W_q~ZRxO0uv^s`xcPdMial|>
z3zN|$c;=$~4o7%U@5a0YOj07fU;$6G>@1Oj3;a40tzdWdi^2-<!n1||V|Yw_{+}Ye
z>!n(xIZT@47jF)amRUX}&L4EJ`@<dBy!m6D8!UfyZD%6P=$w;BTyIxdaa$5BS1+XP
z47*()SILIw7$~Hy;SlF|rl)YYY}~31yy)4MUIZVKyFF?O%j$cYy@2@)mqN_oxRK)J
zSFp|9&+{B`k9r&XJ6Qjy>6MePx<W*9JzT-J_Ib+z^HDd!2SnV8Hty6P*m38dH6k7!
z`|sa8EIRz%yAi(X^IT;P9yBf7sDe}7y_#OYZY&OWTHphL)ebLVCAspYZg}5s^6Q!K
z2J<cVkFfdKOY2#1Xjlg65NzK#_%#W3O<isqhM#}k6_Eme_ZLu|hF>0i>JbBfzUIX=
z3%9X<J{<?2$Z1JmhTCbZ7{XvG<~?RV;3%(F$4FSuD9Lqa7OtnQt{()m=#O6|gNyrK
zRENU+pKTQBVcE3vPyOL$%@+q5;cd3CosZ$f9U>=B!O~+?OJ49cx#xE-*x+c?e?)pK
z{C-6eCZpRi^#Jxv50{gMcUOik`M`w?CX@Q`%+%tb8*KhAJ<kBXoW>mJ0q@tF<+p%M
zU-al(!!p#G_147k@f)<ZaM@Ifj0+s^AX=>eE3+%y_JHf@b<LIFE3<L4e(?9!Y&BWf
zNVK{z0FF_uC%Fz^a3#MO2B#lrDLMs*{AaEh3p;6lymcCGW~}_23d{S`UONGcdbK2{
z6Y1}t$UX@N$Qu`yz?pGsVJvX4u)R|$d_+d?>M=NFrv6V2oIHL;l@o3`RU%LgdrXV$
z;DVX*w(A;+cp@D=KdkWg`+5UB_lvXX96Y8h<kbdeHE;J{f>|qBtKY%Ku1o<};OP-7
zi5}SLR_a@I*mRkCr5&#5d+VqP=g6ww>xFGKWlM<idOY5GvKtnRbGvO1pS9dm^cjv6
zQE|QpQ%3gBeu8Cpz3p*_pD*A3ZyKImovv|$GcB;PhI@A(wRC}P#)f59;4i6{G;Cnr
z-3NBB!g6W$q;~Mnb<LPfxNPvz(jEBjV4&_6obkFQ*&IG6+&xK_jrDI<*CPYit$Qnv
z0`9c^Ctw7h&XPE{7pD5oK&uK<F~!s$fG<x<RI9<U=Z0mD!1?aia&Ew!2X^dcfyHh*
zsuA^}C_^^pButXzC?XC2ykM@&3IEnhT#$k7gkMaafl05&^ozhoUR`<ou;Pzue=&Gq
zgZ|tl_&@h--Lvrc2kH8&@E7H`)Wq}QjtG;HfgM*~t`X1k%85+cYj8q-PbN3~P;((#
z8Fu(t70L#mP5Psw3in0!T_);}os`U^4!mP9X+J&O&ZuLj5BFr3yk>yEP&{3~10TzL
zlD`M`j>)exhYzb|YVU&|Z~T^afH`+6^X-7k4Ss!ahHb|5hDqQjG?F?G;8PKN?>6l5
zJ=x?H)`xJNHT$9eU_JAtxVvz(*tz2O@Rj~h7b2dkd4;4KPFuLNNW^)aUt7n(Mi)sm
zec_KvNr&TLtIsz_gJGA8Va<2pd&)|`BH<q$dQSJ?oc{a=N$|y;bo%!2gF1c56xiBh
zY?mV(SykPU125`^{kDLcRIMU%;m_4Kv#sF9rgw*4z@d_4VaBlBK9{i)`0=b^yg8g!
z6m+ixmdyR<V*r0sx+u~GZ_u=zHG)t5jBM$H^~lc1Si+p%Gdn)PcXy{N*}*?PtS2nO
zZqa*9UEv!&QlGxVkrOiq?!&W2skheP@4ninyy5*$GqJ1iqy?RyAFMYSn@gI5`N?=t
zLJ0ii!r%l6oO9n+_6aO{;H)JL+_CH1tyoyd#U`5yPI_GPDgn-LXDUAgUtYP?odHK5
zQ(k6-dHYU#WWn;+vRzr>gIWa<&*49RKbIVZ*`hK;3*keXT$ecE8)r{yl*0jUw46`E
z51WpWR>I^Fd0V{jta}dAYxtDq$BR6$^qriR2AFg=+v^MPn;kXG6L1`5VlI(Bhrhsf
z3_kcw{upsS%YmGPWmt>BA?i3xD-iL05w6{0-$mr##%P6`0`={eplB5xe42mX7fQmT
zf#S^YmFF8|Oz;ecUpW&j7j&ZZ5PYqt<0^4JrHvITqJImk2|aljo)@Un5rX?PuBYsW
zUu|&?5&eZ(zRQ0UunxoB$Cj|m>2j~Vu<?(fR7cq6xli?OSl;N2f-{`F-5|jL(`&~W
z5#z~~h{qlW;p?m``#j<3$`&#fxcjUQM*!Tb8zgcB)=+-+=@Bfe(bB>Ohr6@S6XPf6
zF8>`TV29O5@ey!U|Lefhu)fgm!UR|_?SA7aIECW&En>W$5Gj@8hlR}EI}qdf2BW#(
z8F)syu=^<-nK2M824C=Jn<^rXuX)rh0(Xf#kgtUCal5MpOmDMxu^6^3`F_<3X4`3!
zM#Pz0f6c_e7uQ-I6LJ3<xxzR&Zhxy}1w3fZ++79VCUd@75A*Q9rF;d4)cRMvfo(;&
znA%_|t&izdund#$Xggd!Wm7<;H?TeIIt5dg7se9jTT5}gIs>nnU6g(WYjNc?FTu^f
z#!1uRV{UOwYw)nGu|_KF?QRtQ9iI01#PtOJ*t5vI40BT&xQD=^pDLn>^YJ8IWhch>
z-2?H3i?BI&)<<GIX<_OW_zm~*@kVICmj=`V|G=XBk43fM(`Uo?kv&EG=GLv{fNAe?
zmhXXIc+>A8`d0y=86FBaFfl)U3-vXCY?)>+T$nwgxD7LFU5H|Y*}kp{{e}}GPTxEP
z|LtL$U57Pq+D{yZb1Tk&AnHGhtZ^<Id?v`~;SZR^FYgQwOwD9tF$dG0O!&o1q~~aD
zUVt@tIVeQo{aJ0rQ*fv%U8fj)bo7_r47|ajqkbLE+qo(`3fugaJbVMbI4+w_w8xJ}
zKAye>pZ|I3$slZYuWCgPeja0TWe7I?xa0mExJFr(qZj7+IwfKb*Z1H5^a)li;dy5d
zk6bdU?}V>A?+$f@O`krpCi?gIR~q#0a7c-zW(!=)cYeqNjv{$N)(Q)Mb2s*f8_KMf
zi2lQ8zb4lsSadEV`3=l1mR1r5TT7V+RKbbNcU>c3Jw3k*HLzX7>wgKbzk$}#QuvQj
zRC5wMuIJoY2LCl5QOJgUADQbB{ikL~^XWpk-`jZ?(SPpNrz<UoRpNh-K7b{z28vX{
zGY`owd&89bIh5LA`urMpqQ6e~HFU5O{&N2VpC^3cZfoH*OgZ4rM2t@k#U4(xaK!WU
z9uHVmx+0o77vC@VUaEG61+y)5cERUW+*pb0G3G3iUWAjs{iAk)T{qL)1mW9{H0+7^
z@)1@iBly!u%S|HQY1S)b0t=iCX!n7qRe9W>!4DV)O5NaplwZa2;lP}I`-uGQSH7!K
z1J4(xf3<<zvId6h;fY<r7p&noyF%3~;F`V6l(%48>5;K2_^H?4n>z4jahO&K?5%WD
zLKXhheU_yZCOxDYtqhOQevKxs_nS2J!8N$!il<HiOvRD>UItcG<olQfuf|-=ya>y_
z)Yi*|C)=;CU4WfiDEd<2DW#AR9@uj;Ix!vA8i_x{4GVr1KM)TGc?<140y`-xrzF8$
z#}(BN!Q(=I4o1N|Ial_Pz^aezOo{Z-2W}hvv%~y7i*Y0jj_u(1(haYk33-qRO9&Y9
zbiuo6&-{vj(*i^rZos5=gV&1S0GBo!1^85|<OiaBv`SdTuEM4$#A<k<HG5G6misz1
z*$8_xExqQ0k9^s%X@Os8Ticw48>8?1?uMyrb46L<edR7*AK};Rtc%BC=kiIaA$TN7
z;q`u)XL~Yo6ej0wu%?4=NU0r}h1K5lXzYR)cPWm4gC7fslkSF3y{j|-0jKZP?Ax-%
z_jk$9R@dND1r0vi@MOv%_rLJskGEF8VUhxBv460=1Mi{#VA>Pzt(4EOKc&yJa|QPP
zY8FZji@b>}{s9+u4bmTgk7<U)&%q92O<(BXG*8W+3vfVA?ss<h@($VIDfmp%lNTKD
zGS@!AZ*bUor#FJ|#rXAO<M81EtpH)TZB(ag0xlA5-y;G0tX-)Xggq>u_e#Qhrg!Wg
zfgM;Qrqp4z*};uZFhjRpo+i97kgPrcn^$U7o5A_-tgrUKW3&7ZEnvxNzW81^l8h<b
z4Zaie%c}$aT=_%Y16C2!;Ol~ucAJj)!A*?}jLk5e)8)(nxYfPap%uPgc%n28_L&dX
zX@JXOe!C{XG5>v|Y=pJlEO%tW{Q(MtCGhKT%Ag!Lur@oO6h2hrai9p^HLPs+9KJFq
z-CqprujMco!i|A7w_m}BYvjpuU=j;&_G*}_BJJf<xah%pK_e`@Htrh>ulwG+*a9aq
z@bSmPH%FK2yWw3=S`UT8x@6CNd*HQ5x_1%qMDGdOK{%r1S@C0d?fI9UFYs3Uk6Xd;
z(-qa5lW>E+x3n+Z>PC5V8h(1Jb=40}zu@(B5e|(}9rA#C?D?&h;aTyxKu`F6TK>;<
z_<CpBO<TB3Z|8$Q@W-@K3VYb{qX#)z9_C|px0cP|L+Whp<nTqOgk%eN?P{v(9=J*H
zfWIM};ULbq52o&sKW7YQ_0*;@!Ot!?9M**uD{h$_hJCxwx#+_(r0Oo*@ZiZ5Jx$os
z>W45dY|7e4qYazhv}qK8>yBRfsRVmCQ9crcDevYgs1fnee{t8~joYLbZ@@p?;%>>o
z%x${T8t}b655gY6&5{gydT`y7@pgB3(j}$R06r+yI}`$Uw&}e$hoi{&8H3@)pj;12
zxR^XIEeej?vWRwsH$IaLMZoI}RpQPtcfmd5MEGx<m;+JX&s3Pd#KNra;*SQv>Zc=&
z(%@Cu<BG)dCoelOm;{do`}~Q6Plm@BX2S;bVLGpf^gnzRQ(&|os%kj-%+Jp`aOxob
zK{gy}QoEfDJFQ6Z{J*_k;Cw{Hd07R5$<Uuzy>W9&g$o)xgec(Y)rmh(;fE}n50An(
z=2i<b;49%NyhML?SwTx6A5MJIieKuY{??1l5c!GwaPPz=SXn*Owh*RrO1DsjT}4ff
zJ%eQe^cdCQ15{19FJP|RP8kze%hH#HNU!)la?KR}Auyg(P8@GI&{hPS7B5v0`K8QS
zIZ_C7Uryj7?pOEpl^b>NuD{z^3Gj?Q_eMSZ<h?3SCTzM?r!@xKX3Q}V<)=_oM?L{>
zeiBa0g55fE<Tv2cqJI^M`}e%{a&r^*$d>CT?!VcyZRQ5Xmry50))@H2->ql`cu4Km
zGvfNks-p@t;DXxMUy1VzM|SFH!Or%iRz!I;TA4cDhCAmBbBO$8q-3!g!n6+AywBm{
zC=nrIeLA=K*DMd#KISt+tS1vRL|01SZ~Vu$iS_K-a@1*}yi6F)3yAr|;iI2kzJl##
zDBlwEjg?lm#R|B|U&E0Y|NYyITwcT1KKy<h0Dtr^EUtsyEaij(;Xa-3f-SJ)$3>-Z
zIDv!T@hu$GEVCT}Z+F{lcEUfdFVH8#!q1B?biiw|a&MDhQqK9>UbtCsb%<C`=F@Sk
ze}Jn;HG*>Bej|g2U*OfGe;I}F^6j{)0hrrewD2W7TPCi$3ZLp&eOnC+u{wsV!2C)5
z$LnD!iScBTe4M{AT$q?Y_Ak)%|3kdY&o{OWcG-5B-G}&?uSC%YSms;e@x8F+p2l0m
zd^L;VeI6t1_f#Te5;j<%IeHL2XFL)24Zd!bUcn2;JLVU!z*A-AE8K7&?S=(0Ki6t>
z-meHt?K`eY%+Jm1jQW*epZ*EGHMpi~#m)krqy8(s0M}BF2w1^yMowiB>7#=#%Xq;0
zo0o!TVNLy$w4Sha+<ReSKA$n89vuKD-5fqX0spYRtP=>YZ0vkU%;&G|PO?mZg`QHF
z4Z~`T56>pSu6gnFqwuXW#jmnp@jtPD`{2dzVV*hguCE*g{cz^}28tqBZSYw1d-%n-
zl+I!}Bdbt?D6icM-RiGk6S0ibM0qCf&O2NUpIzb^Y$qJ>C9@Gu>7~pgo)6hRKfV@N
zB`;K~7VdjrQPB-={BRa6gR=z#JbGZJ=l?C1!^}2SWP`Bex9U2gK78|02p@*I+k~uh
zVXlAPOw({d9i4g_k-ku7bOv7Z4%?Xl)1<lIS%w=Jgg+AXlSF*;$1416XR%i#Typ=c
z+aFjxTTYpn56?)XlmCN1R90{M!Um1~p_I>2pY?ra+~Hr>gVd;DF^!dIVt!30+Bmcy
zc2#sTA?C--(adJ_aEA5J0Xul>y~Z*NeB^cP<{j83<!{+B*t%isnK}GJQSj<1Sm4#m
zaAJSxdH2xH({OGwgD9~-H1vx;_#9j#{EmZ|Pmgm}DqnzQNVxiR;gYvM2Cl$alAmhT
z;NQ=}Qbl0#rSn!qf8tcr&LInr^$n^L{mq7o>B2RbB|Ns6n16Rs3~$|pnGDaz5%ce7
ztj>+PaFVrBCXwFd*GXL$c-3<3u{2y^T+8YTm*<yN+=OKfY<x#xHxHHfM1Pdd-c>gQ
z4-H-AF@-g?gu55uw*li)METh2L{WW*W50aKu!qk-*kam(v-N$eiT${L^~!3SuzV?n
zg&TbMx9`x-0{os{y~LY%KCfka=}F+Tf2`+&VBYz*dTv;=u=oQJcPR4o<At@XI{1kG
zO6}fwv<Up2oScE^&z4_D>WIOPaS?AH!v8HaeZ2-}d~Sa33RliJK9hr=>km^A&wH(>
z@0Bjh6F|8_^q-W9KAw8;GmnT=qW`?QtBm3fTyd?^pI8rBU()L|gCi1KzY@=XkMx`2
zd+<la={7SsVBIX!4L+T3eUIp`e@i8v_J!wm`rRhV&pYqxiXXg3oO+KjTxV^6FBFy)
zIr58m{@T9#M8e?nw^Or-^_Fq1WJ?@uL0aJ;4@dFcS4n~k<j%7y!m&k#gITc0#+9Y3
zaInlLlU$g@tSng+ezcoru^6`3%Mm&TAED(Ut%SMm?VV+XRcZ}`U&BX!%_dR75}Z9l
zZ(+^**W_qm-(?z;E;uFhC=)T>QC(eF>Ve-0-f#H>pOZi3ItX_#=okKkFU3S%8G<dc
zDs+Fr{D*tqPQslWu@Z~$VS1sUY4~%@!pai-d9TZXB{;UOrGExasvYcKhEE53h%Upz
z`qbWs3(=n+DA!(xzbB>FFv0t+zZh@96?>G`&%x<I%n!(r-`cA2Cud>r7t4c`@JSif
zG;!ECPw?knIR4DYpeWpAmYcC3E=f9QbPc}j`J<XxFBV28Cd<I<DkF?6@UvGGg<5cf
z1TX(d_}_BCtOlH9@bt=QB2LckWd}d__D|y+%$A>0Z3B1qMH&jiZVUoykKo?5Uv9+n
zpgQ#|)E_3{IxrvsZx&Oh#=^!Y+<(Zy&HwHWM8oSJuKZPk1-Z!_ir_G#Vg_w^ZPxO6
z0j$?F??m(ua|z8gb+9I%aVSxr+M+pr*T4ldlvjxM84{)H`4&DA<*h-q&$g7JSB>!N
zj?-jB{rzJ%DAobXj3p^Qf>ZQAE;qxgiz@#D;R3@=*KU|}|M1^In3RmYz7~FXtg2uL
z_VkpLA=38-$Bcc4i&-94zk$6<-JdMN42j7S?eNs$n{WQYyoXvUTHqGlYxe(Or??4`
z_i)p#SC5JP+7!*@dtLCM%>p56_~<iglFx8-Y?u|XUz>T7(d8rTl@-#)43F8%`cJ}j
ze|Ao?!)<ypuP5O1Bzwe(_i07(PVZOY>*s@Xi1#OkP1e*uU;);bW&-d*x91r&MfiQg
zH$m^KFvI@TAu6~$|NavRn3|>E=>#l5L;Xw+mSk-zWQB9@OHnAo=C#vx{BW?mjj%r4
zezb_64<1;I{&pLFk1q=@!e0C;0>t|*Z|7@fM0%|}|Ec?MVvG8+FnsRDEt5?6dBo*?
zL|l?Chb|j_W-l2}#N7^Vj7`BxaoMKaFtxE^*bL0~BxmtFyej)+Xd7<wF-|0||I7ML
z@D98`md`UhAqa<eJN;mVOJ!ZD&ce+B8|f$DlbsIXLhzrfKZVs``|SO5yzrZy5p(LW
z^dyA?k$*l`(u>6V?4D9)79xMTHHFi*@W%1IIYj;(V!8g^h5ZVQMv3cbat7-Y@6Q)L
zN-bT3O^0aj`M}Q;BROT^Qy-c*{opB8pJFBWL58e&2prAT@l63XStI=s3I~@}*=xf8
zjX$P|g-<2^%~OY|BW_g3!NcqG{Ce;}LT@ke{eam5mz6HeoSW#I0rxO7{4|EMl?y9M
zU`w(9Qv<lq^}(G|xJJN!(HzcYib!aJ1Gl<vo5JlkEw2;bE4<{Zn6-iT-u-3N1#9ge
zWwnOg4t_fD9zM;`{LC31kvHV&ho4b?n{b4quSpLNz?@@U7VhxAluy6LVb8JenfKxL
z<!2gGu*g8!%OH3^i-_F<96{gpJrEwSVtv01`)x)3Nq`p}YQC+*9d~ms#KYD@X;eG$
zy#-UjoN))7Z@#p&fjAe-@aZmCzWICVA6VU}_GKUZXYGRjPk6!q`Tc&_N8qf$FW5so
zgk&5}rgT2C2&XXKYn^~ecx*bB;OOf&mFHpa^yeir@cED8j0<r6vrNNpaEKdQ+8Uhx
zdPtVIzoK%gJHO$==RNBau+^ve#cg=Oglu#WrfBRe+fj`9!iDwFA(%(2_zE>FdP7yG
z10HrYZ>NQ)#6@X{@|M?-SEYxU)9$Rih4lj24l%;_?yID?!2H9M8OPu+{ZZBxaQUO>
zd~EQ<z&++ya1UEV1vl({sqkAaeD>E#sWb2iqmcMKIB1ZzQxKjqN%th`%h1$^NMV@8
z{sCVWoGe;(SON|>l&~2IyCn%dlZFLv*yl&XcSVk$RfGrDAKWGC^VaK#Iu&?PNr@u>
z=6~)ktpf}5UaKd*|G41JXJ80R@zdH8-+zdx9{FYg?=V^y)`An$^;~S=n**1EG~msX
zc8ezPc<1*;c6i`yceEYMJ{yt30n^96VZH}@?=`kyfF-`a$#aKaDv=&yg0tc)`2FC?
z^6BlpaJVV|fBx{*LEobNu<T<FuP1Qcgh4bltWK3G6Ap8J+mhS`n`cIK$HQ%rpSVcj
zm|n`5MA*o~c90CFnEK0{1q-x^z1~9qBlpgBG8>+b8L%b#qeF_OR)z4CUyk~3*naXO
ze=(eS;WF8OaPoLtRVCcsymNjTrZ{!Ms|t?Lj!pOhhbM7UHNwNe+7IVo%9zORCU}hT
z!RP|)wcBU(6Wn{|;#;DBtO%OP{tOp2-emg*iwS=&n}vm6Q&W$_{Fj8>=U@|t2F7Wa
zCGZ#>=?m-!2pj($hJ8mL4wAtI#?yyq;g-hh)IxA^iM9Zdzdznn5*OjGW87*R@X_pK
zM+<oJSf&t>U+ec2!d7sAOROw$zZ-tzJ$~@pp?^F}a0~hMxB&PL$J1frd{%l_j)lSU
zd^C;3_1MERro)N!T<XWa!*m}4e`Ubl^u-jDu*;+GHCga0#{W!-{=a<tV@DZ$arXL+
zQMgIyd}Ia8x)PB;0pFfEocRt`$odjC2-9TWGjD@ibsmTg!NpD1D<5FD;s*9!`26{I
z6}_;HAF1DGn2YR1%M@Hvd)1;FmRqL`oq_q{AGUsgbGKKL*WuOD7lm!GzKe|U1{}sR
zcH|>`dy-}sdkOl3uYY#5!#`9FKAeR2$%xqzanY4y_myGxvTN!@{FSzgs47guzIK2(
z|M60h+s^Rtf8W<z;WCM+lXqdGQ*pUO`i%hpLQhyN^>IieEY<qi$qUwgaqh}nnBKST
zPauqmJVhBydfhNE1m5XfR9+5q%WLe5A>x_Le4#LBX2^01+{qT=84RBbh&ChQ+MjKV
zePQ4DX5KjB__)mj{;)tmeR&%E^XOzJ@qNV(>)!1$csfeTgLwZp_OUOZ4lWsca(Xu$
zRoF1l2)9(t4DNx&_?itm;FWc~tZmGPav8H1x?#^>#j3>j6b|Eg&i(K{fkVv1{)70!
z{T)LvsitYi518w(SKuT}64ww-><?VymN+;IOAk><5&Id}{p6CDVO_=leze2po$nXd
zV43v`8J+ME(JwB4;cbt;tt9xKiW?KvOU&;S|2|KFAE`c0-v<X77TolQb(yn&(8Ier
z!}5vs^V6r17Q5lZcP&?l`KQA+o7X{@p{qKSSnq_+?)h&Qe7VquOc<7bI@wFaS(fgU
zULubFw57`eFIUVMoPaA+yb4ah3A&&6vcu-nNf)@`cN#A;Na1~smU8D{k+eu<av1+a
z_~RwmAw}}*6xIWw_DtWz;d{YM5yX0;AXM014mO!QlSb?(K9oADXbFEZN?jrL8!7FU
znhoJas|N3L@XZ5sU(8{hN20yN`<cGvF%<*YS%l7u2|ldYm2L|6Tul4G08dlLG3mkH
zZ%T}a_a|}D;yfnsl!jv28XW$DGFumZIH@5`yr1Y<w5~LQSLsOOKEg*W&z#YL&(vI^
z&4*3Mc2gR|(=uCn&)~m%J3Rj%Kj6Ya?B_EY3Q_4J{-Q?o9<kpWXt(xI15SBVB}VKA
zvm`4~--O2%LnDd(V#h*iZ)JGFuj4MUKi?$&LRuBB&(CgkgV{JO>aN3aJEjYW{pYqe
z8lM~RPrs&ZVt=03w{b%PPTeG*B=)a)F5Iq{f;~p&E)e_mDR1a6UV*nA`3~KN|9TZ}
zUWK=!ch(X6@yv6K^E|K*wL%85pWZf|SHuU$UAy{I1$J-H<KTe*4nOX{4nOIbpXY?n
zM%i^q!AkE)RQJHO&CMlO;7XA|2BJQmw`|=IfLT?q|5`--UEJUv<%JhaTC0fqJ|-;p
z=@hI@(aZW7PBE)|#R_No-<T%a69v!EEf#n#F#A&rTqUF^P7ha0GbXgcdD2OO`(VK$
z#vR45@(Lp}6>)sO@7ot};;c>s8LUh5xs+)CXB<Ydw`?%KbhvUa1J*lCzP<@R;-6ZM
zhi97}53RzdbEV4?;j0eQ50~L(=g6$baMgyL$t-;N)RI{+Jd-|1H3gS{6V!5pRj4c%
zhv3@5&?6o&Z{9@20K63PiN*>JTz0+N1HY_ce{T&tHA~oZz}f}W7uDdLyss)vF!?pL
zO?8-}l_9AX&dB^Qa1I`$di$^pw)#Ssase*V_c&4j|E)gxlNuhazO*A7=BU42xeGpP
zmZX{qXHx&+BZV)@58C9zD*bOPN#F&}h@w<jpm3|W8RG%1U}@V^SaDzT_a@lbd%ht9
zJ}D8Ynh$>{|2LEe8?9?Uc?Q3|`}AZMY<Q;Lniww+9C(iZsfYJ<lzz{M@l>0p)H@A+
zeZFw<8r+)QdM6J4morf!2Pahv=|{rd2ANF!@Wc--$sqW#SkLe|IQ09iZvk-Szx9se
zFfWNumnU4u!Wzy7%jDCrK7g-gzoa|@_l)tAyTF<s`Z}25(dpM(PB0&jndCuO<MP}U
zE7;K7pOOJqP4x(~fD_~BAMS>W=0DuL32*F{qTCOYTG$q7!INSiJ*nW;+ldiMFr)id
z2^yI5@|7tC*v!YSngsS4pTEZor_T7c6X|EwQaZR{b>-a>JK)M?Q)yCocDk9K8t$p$
zi6?;{PRNB4@nf^evUAp$pVKW2ki%O+_KCA_l!UGFU(AP+s;W);Vbe~g0U~|Hy|~Ig
zSnOZC(tn6wn5awcA}nb}w+U1HO<V4O3*=^ke!zYHt)H6UiIif+pRoFNF=rz@bDy_m
z9(K$9LR$?h4F7n%0B3r<yZs8D3$Z1cf{)9rNxgt0w|SeV;RV;3xFWdCH}A>_+-6As
z;3-@{X0l@pKC?pGlMO%8A9W?>d-j`G%ah@}rKrmTu$!&0ZUS-qivQ_%aEg|_SOjtW
zYk{R!_`+4^s4#fTtkARpZjvdy_Xy^c(dPR9d^513!yi7{)SXVuNBc#%V_o2h2Mnj`
z;K`(`b51bDzo4`-Sm)aPZYwx_h|{<NR=t_;Yz}+!>`~2uFMi|})rK!f3JpGkgQXNB
zHDPy&JmqvaL^a%15k90KcrX(dKmMv+9%eqC8=L^YSK2C;f*CKLRZ4<K+_*?3;V+Y^
zEs^lwHoI?^;PboLf}&x4mCVb+aCJ~PNeH|e$xp!rlMe?4hQS8}Y;JPG(|W)E1;8iH
zOH%KJ1zhCii1dy{!MAq9Ox)#feBlq(Uq4S-A%C^;kwl#K(Iej(n3n0nkr?==Q`X-)
z*f^%_dkTE|q+tGQSn8RY^HcccPe%4Qc<+7(DPsN~^f<969&Y$T*G0_#y(Gdnv|yII
zv@^|cpx5u5oA4#Ga@%g$vyn$b9A^C6Q`rlDG<-}V37;eL5F3Vvw^BOJ!Q*$_TZsB`
ztai=y0$fwdsq_u5G5#aY4qFQ_^?ip2CFGY*!W6B|dTTJ%y3{LrIKw=5avfg$6=uQ+
z{}$7<CfdWx3O7DV*kT9QDzRR;-uL<o73^?y(2W)rN(p?tVu|`wbFYbL-vP{T1y<qx
z%ctcJ!=*K0|0du=&-*{Hz`i=o&nMwx_Fx?jSe3%pr5C>b@6<RK9P#$$@jf`De#D&U
zuXa8#`u-M9t+ZYefRlAX;#%N<+7qrKaLF+~!wUFsZ|0Ub9LcP@`xP8|RL7s_59ODp
zKj*?4>K!zS@NF70-#p^@Dc>kfSfKTtSq9v3R8UhJ_G+A@%Yxn6S4IusL*MjABH^O`
z8zv_3T@sha(eO?-ibZSq#rdzQez5$Ss-r!;%X)R&9~SiA^XDFsessIQ2G+PdE#V0V
z-zC3k2d_?Kb`br$B>R69TJVKQO}Y?x{>ZPF+OR_!Lvl1sPu^`H1}A*aolJnaZ@r<F
zfF0{BtTW*yFRyAY_?r4aX)Y`$XnBVlF1eh1<ptasxA!0&yw3d1w;aA+xcvGcJawpu
zwjM6N?ryVXf&N>%UyT@_IO<gnZNnW}X~P|`epdJ2U+~)6W@;Dg`zteV9Uk&%;`|Ix
zScE&y!Yse+3I^faS-$ppSV@4iejZk>Oe*>c8;q-aEx<Q3Ep(>fm#s&sf5EQwA4G;>
zYBrmW-|+s?<oOZ!lb4|SKR9`9ySooI3-Vzg#@D9AR=0k*L{A}&7@uFMpS=AZ4q%8e
zB*tgcfd!fm@QvFB^K@{%fYfp;to1ItfF7QYrA}&xWBly}j>6e-x(^%S!Q_(lWAJv#
z<mYC%FYh`vKkORIQ&R^^i3N5L^Mz!k<vXuovM_b^%kZ84b2lpCgim1%SK<F`e*S(1
z560h0lZN*s@DII!Q$nK+W#OH>R{~zb+V2eKm0-i6Q&#z~v{h_@3S7oB%}@Y)95xZq
zfi+W^{$#;HHZkkE@W0NFPjg_INMkP(czj|<a0+Z69U*ZC9$I{LF%2%@Gw85|f9Fgb
zj)Q-U1%=wfm%`#&;^DmIn+*5ip!w?jaF|-zdw`g49VoHYjD*Gelns61sN#@IL2%iW
zGn+rGr6w{H3|oy!6@<d%zckx@;e`}a+c5Z_3&mZ3m}}3)bz;5PSA9t50bJp(R+T`+
znck5<gdGgoB{Jb<jh*_6u*5On?gE&^)#{}@OrujMoeh&YIK@iAf)j<5PvQBciFpaQ
z^v7pUV!b-EYoYrRyf5%0zKF#7Y34SYFf3`iSs4o#x841I3ceRVd6}4hN@+MopM(V&
z&YULZpErhl?y<lEUydvU!B;yex{kmZ;$p@=u#(H65;}PF;Hi^-@SQ?loqh1|1zS2N
z*j!jfgbMbNRqk_!y}dq1Qo!^(9Oa4m=z=(n?r(GShis>M?1*?yR`D8~G9fE#1{XLD
zxK6=Z6W`k{;mV(GonPU_9BK(8cng0SD*`rsf3=smUe}w422rrasZ+Oz`S6HeB&|DK
zqE4FO4J&_bsPusC8kf0<`;q^qV0Hxl61#etC?EXK<Jv<okImLgqI}}WQicZ1P(Qp1
z>xlA}GVluc0vmAV%M`+AqdGQ9;6Fv5X)9p*_LS^Wc!8=vrXDt{IiQ>bzrB2GunBHZ
z7}`vRcjfCFb;2)q*)@j1`|Pu)-owwT_-&rR>}=0$24LZU$_t)w2I<%`vA(ZXavpmK
zKm0R!ZwfZw#oy!#2T*Sc&%iY=zT4b~3-11FT!O#u%~ElIDbFA9TY*U;bhjK~7kZ}M
z8*p;e?r}@_gcoP`ChWD+6l4we_w#CzVm%cUYj0};_pS&tk;A<2*$>@;d+_U2Vtt><
z)VZYxGx}dQ+6#M)@T(faj>THetT1b$^&u5lfyv-E8$4io_^m3;DQ*6cSpPXBl;q06
z7a7gOi1lBWn4YRUtXpN*b`h>;To#ambA_#fgy2_+@#E4kgNid9v7X;Lc=GL4IN_o7
zCt^Js>eOi~3aioH)g#uc$0O8K1>s$DmPZv}iH`ragb06k&L!5z6E8NKPQkHbYFxzn
zc!fOC_B4Ex<MvBp{lDIIQ1t|SLgcy=vHtemF4<y(&u^-4p(ToSS#XXYfsZ#_uCswZ
zxHJZ_!1sU1%G`yu{Lb0Z!@;K9l=t8cs}3ecSb$b2+zSq2xwy3lHs)he@qsPIJD=`@
z)#Ofo34-+n&IM7y>4$eFg}`aOEf;9u(dT>FW8k+P985c5@zZltv9O_ZRU;|fadzD%
z4K5j{d-~@N;(A?t8E}q3w(?(?X>h1A4?g0&asC&aQd)HHIjo=kX!JMSm|aIw2Cw_~
zzgdFSc|#k^VV?+N>lOHIRPv2_SeT(m=^K2z-JG@oruZwkIR~>my%*C8_pv`1nSkqp
z#5LRD(HXM9Nw{rDW$YsyGw!3<3#X0^7<`6TYsoe~!A36gbEEK!x6ZHM!itebR$pO-
zniY!{_?@-O+B|$d`h-F~e3yx*d;wlEO<sQui<ygx{DPa`{H!a6sW&rT{|BcQnwgit
zzE3Kyk(6Tp$EbII0xUUP7(@ZPS6Q0H!OsU{Nw$&Rnk!5$44w-XX#5Aej&P@k!e4K*
z2(QETj;g-?u-x&=4dVRfzH0-%a9>A?{R$Dk%2MkNTP2_4Uxk&QzuoT!hp{j{n}aQa
zme(9$mA|>>-{I35$#VAaK8=tu;(oPnw(*+76jF@oQ}CLXyYC&?$Z?Zl7#7LTzoQR_
z+I#hnz=eE9wYT6$E=G!dFvEkWG<A5<XL3(Jtg5g4OBD{+f9u~3_pDl9I{_a&Xh$^&
zrw1pjvcU`oqar3?zqr?ZM__8fb(Kk&cGvtv7FfFA$Pkg=M_pVpyWtZ&gSyLbk&fcZ
z9{9ub_7qV*;`_~eDd2Jm?VJsG_x+#;RB(!eC*Mw#_xq2j20LJWk55aaurU2=nw_vR
z>mOHInBzeA;)W^aBLfOTdkCLdi2DOC{&0T70PD5y?rMbfH?Nbj!S658xxR&YOzwto
z!%sxFj}^f8M@YNQ!V8p}ZG~{J&N)qCm}>t*K@QBnSBK#;Tvs}+nG3%md7LH*Z{GeW
zoCfC_7v7eJw};y%(_!<D;cp7?k@48Pa5%B`u!Rate>YGq60UH*v3e7}5-5Af2ab8{
z=BNiV37&8Ag{j>N{+PmY+Eal}u*cI*cMEv!So=8_SZ3%SnIk;lpG<E9A9_O5>;ymM
z^m=Uz(+P<vdcd(~6*BL@8u8M5JYk;#K6!K4xAJ~m0PL>)o6i8|ZGNB?2vet5_!z@m
zQ8N|^a0oB1M#PVP<4S@#H`Mm(!JoUBOS9l?uHCEZ@E!6aPC4+k_j5^_u=r`^twOju
zGsRO8KDYNqZ87}hs`^J2*krD}y8$*{-7dQhcght#X@rAk2lQ{ioI9o%J75`6PjN|j
za?fCYCrow!OpFZ7N+Uf#0#m>2a20_SV+8ZZ;KbjV$Hid2A)E8xV26*wWJ2&WI=!EB
z@Z8FtB4N0>JIZ4fj<QP+=ZF2v9$r}^;$}{l&clOK70p|);p2bI-0)Y|H2-ZlT(_r%
z2ex79-$Pl3`?)q8%nWmSq&%U42hQaR9EGXxd}gGBb+<W~7~q%uW&H<Xi^k<QjBs1{
zq5%u+Ogb4r2^Sfpj<doZV>xH3;r(QT7F;mRnc!dlnV>z+yUp>y>nE<IZNd^CD;x!2
zYVTtv^RU$W>#IU=Tgd0#3-HxH0q){(*S;$&lkg(_jmwfS$M2PdX_%!l@a+wl?OCyY
zAKb-GA*BTK=IB%P!;&=8U0U#S)4g3Su-KDQd0kk=?bY2@_;=;cK4aLwnC4~!ygN20
z#uUy?DcRWw|G6-8)E4$~*`BI`SsS89?O?{MSx;(UsZV`o_lWedXVsp=Pfwhhb%%>w
z-ftDaRPL7cez4*C-mz?0Ok~g50JyEVAn++Xv`eMx3A|J9xI!!}*&Zqs30L#H`W*)|
z4u5!)2w&A+7ziVd@3-_$h9yb7eIj55{bHINc<;^;8E@Dx<n!ZauuP-XiVxhX#Y|TM
z2ggNybb~vC@;|<W|DI*_@PH*dR&;A%X@6reYnaYr=TJTTPGEk{2CiMaZt@OpE+g+W
zg}t@A*xF!wksuc{*ie<e@B@5orc7814!^yhrw^_SI6tWkXQb$qj}XUSQO>;vD>ukq
zn1F@WT9xJCAc@GjIr!<T{)3m`bT|7ei|}}WT>WL3LcF&57hH7nh7UJv{Ulgw15Olq
z#mx(^#}9Ool;igvoS7dE!o?e_yC~t;2ITGx@HIw>n7#1VL$e|jaGBh9IyyMPLh2hO
zY*}zQ<p|8f&s4B(jP|kCcjOqX5@)Be0aqk)=5WI5HUfv{VAlU$vT?(`a{-O>F!@*V
z!t-!uo^ke9Sb;~zS^ys2eyK18TLvfmx(e?y3_3FmEBbsc6NNXP^bd@{Nt&lcuEG9M
zdDVR|_ongR>+tc!HRFCbU-DIeDoiH+M*2P68?_{@4$H98Ecd{VR3+cvf;}ug^t8fq
zN_U^=!?%w!xwXUReLEP<;7Qsqx{Yuc&!5lcuzt!>^0#nqpR$1i%*#DAQv=6xKRD(D
zUx{W3uY;$r_daunMQ;YF6~f^>$2lLuA_Fa3MexFtdoLcrzRyoKq{5T|m3+alp4csm
zbl8z+->WEi>UbefI6NgNb}<eP=p5;bfOSqJzD|SJ_j^@7hK-sEJTu@OF+~Q!Fbx|e
zRX!}-HpAu)7bG1ID1_$>_jY*@$BRDLTLBj;=M*`^-x>V7E8)^N9a?wct}_!_4RDs~
zEn!=@y>yzP5nfO7`f3M{iA$un!w25)dTR#XaFo2=2^XyJ+E~EhF6rMs!QY!p6%Ann
z)zsY2aLeo7bt8DF{m<Dk_@tovpborS{rB=Xe3{zO=N4Qeu6}<Ge(X2OAqCU9^Hwau
z2lH0nOT*#rp`z=s_QcI0GFUS8?nUwnJkQ4}eiX1w&G75pFn!c}>KP;a-u1?h>Vq&}
zd)3QX_=ud26bl@DXs^&am~8QkC_Ah(_I<n+&h1QU<$-U--Ih&<l?J-J1>nF_+$$My
zui4dIBCy0yW6k@p3^VOp8Q4MT=s!33q3%NkCHNmNv#IL;D7x=>D!(`m;7Da9i4Zah
zMUhY$84<Ec_70JhP0Q9W5+Sn^5)#QOp(12uOUj5M>nDn2{XXZ<_v?F}ai25qdCol-
z9w?jGXacvTd%f0!V=sDMCGo|d*EjIOMHVe{rtsH@MYCP7&xoG0J{;Te?#&-t)Th^N
zyk@Y|pc?yc*kV}s9*J8#`;yuT`)EqtA?N>Y=kdE8&ihihNe_N;?i5!NoOCHo+5#@O
z%BW3-)1!oH?BOuumszoJ<bCNNM>v3gvrZhGDpX5%5ss*26N`jpM>`taU~lU)y-~37
zH%o&{@axnI<zaA+hBMO@_%>^~%?-Gz@^?}QO#i1+DFAM6Uoj4Yv60_IAiVJM=5Q2z
zp>AW7ADnq9>OnNTI;G)x8Sd@j*p~=fCo4#ugUiC%vr=HiF8{ACu${<b(M<T)x<}O+
z_%_eOsVq2&snF2@R+JL;c?P=;+*h-NX}b4F7Q&z3_x)!Dzqfu-Sq@*O&wH)|zwC^c
zehqKlG-Rp=kEILL)WRC(8Jvo+vCxuy13d23QKJOU9u043gLQ}K_j15RPkXNQ!E>4a
z1+c+Nca?sV_?-kd{&gE1-;{o!2X;}ky}SzFo~F%gfkjRP4s^j9gHKFIJlj0%a3`Gc
zkl`bVUv^vg^a}2%q^9YFTNr-?zJ~SAX2kTvRi@N8uD}*TlKwy8_ny6?*Wj?9pEl3I
z9hmsGhd-KYD=xy=2gJ`2HWvH+VI7vW7mzW6cRTl~Y$(I;$p^-Vjp6QqpjLX=vQs)k
z4Q6jNKDia9v{}?R36Jfj>|}!l9Ap@z;XD2f+MICRhPf9q@HI})-raDlc~smX_>x_F
zoB+(xc3e&pHu1W;OBCi2c3s^KCrXJXiNhg<Tv-BeMEGZZ8TeIEUKlsrOf5Pj3(ql{
z9^iqCTR%Iiz_pd<W*A}p1)othxLkxefeAL)AaFqsW}Rd;rhu1aipEdDMd!-aDB&#;
zwjLI6-J4+hL~G1f-@dTL6Ba+hT$unLtuGEa2e%JnU<cDURx6%|SxdJqM8fgD)MaO2
zjR^mqP*_TU&dUL|tz;Jqfn&GoOpx;*s=TrF3QX6mlWhe@NxN|Pz<cO+(4BxSr$&}s
zVJ~T>dQ~`-=C;LI*zLo%hkM|2hggnT!%x$wEd^n&#UBq$;NxdjrKsV*_bvzO!NFg~
z=QhGyYKp@(;pbLqr>Bs=&vzKOD8p2m!OS!8A5OMfC0JnL_08|FQgUggH0<#!^~4yw
zuoAd>1P=7>sThD~viJwY;EsUjenaq9$GO9zaMPEcGre%RbOM_oymz5GkCcBoV;8qQ
zFvI>uzIHgKyfbdn3eU^YMDr_rLw;0t8Xj#I>?YSADPvmw0-r66)FI`!M~5?W0M@s%
z`1A|5q%sh!g74%nHU5PM`E*;V;Y#UdLrQ$!%iF(P$cBF&NDAKshX;IQ&4E1{U0FzZ
zz4<8H#1AfLOAX+Fmp?W>_krzfYyL37v?dQEj9~ZL$T3o$i^Mu34Pm<X1(xLaNzMbJ
za&Y<YPq8ep-r{uEG5C~aITts)R<?YY754mP(n!j8q*3129q`SKa)zXQpPD*%e-liv
zRo_g?cl5XFNm_XNLG;jZSgxA2nG!C@X-g&LS*^dyV*}j8St6(nCz@?NwQPy?d>`k&
z>A>4HOP5yQs?y%`#xS)j<>%k92`lqHQ+PuBao_@6@3vTE3wte0+RVTWmqag;@>(5z
zd-E(jbdqJs1s+^z9UFs{R@F*e;hXjsZ~uhpj*BYzz%mzdFAT$V53H7bVXlbricz@e
zrO4J>aJ|RQ)Gx4Cv}sc~yu??2d;m_dS3G?e7JNF&-$T-mp4%1=Q)+R$^}#kg(gKfR
z+G0h$cK9Nj?Qk|MZ(|%o;x0+wVmsi3kE+kf^_Npid)naM<B4<R{!X3~xw#BCEys6|
zxTuS{$|~IAG|lrJp8d&h!dQ;?z3ap4<o;^x^jMhSo2o~(hhR1i_Pu<t>Z{!cKEXq@
z%A@@7WWV3#ez<Xw?ym&=YrnZ!CmduWQ7i?kN1E%9^j6yk^>yKUe-4Va!G&)(GU~%o
z8{;mL_<(^=^%a=LyFHp*kK&=`hRbjmrNY+{IOs4VTLe5~8@xIRXV!i-y9IwVP{^Ey
z-@L9Ije&UwLu>!Q_f2o^y+e+_*H-=y=B?RXmji$3<LRS9dD-7NM*9T*Dqbc?%G*De
zbnch%HU|bZMtJ(QwQU(ZBRep?6&5-yJ6R1=rbsce!>{9ii&nu*o8C}y!xw^sn|oma
zPQKj&@b=SEOg$t%OwlL^&$n(#9)MT*>?cHFiNcDnU*OIS2ag_tudh1)nuZIcl1yaa
zn>@@?Q*gF^*t#tIXKt+OH*8Qa%cBC{+8seP5BnbLc2$Fic1!M{eu?)#k*c?KVbS<@
zQ!03}_F%g)thO>ucL2VY`m~V5Rqhzpi^5e=*=q){$BVz872wNCI|nr2>(v(bl;FQ+
zJHoW!SPn5h4R~u|h&{P}&&TMmns7ndHF{OJ>%QGtLzp}6`vj@)D(ls|jo`l1Ut<(t
zG3C4YR&dg^g8LD;UVGZv26hRNVwZ+9Hocv9g8g2{E*^x>RInAEgG~jm-zU#U^yj3s
zCtN@=a7`HArmnEy1t-dX+_N8Unb;n94VHMtN4*Dbo<AcO0PkvM$|L!4iC((y2JC%4
z$C<Q0^V+TQ5%7FuEE5}S|0J{FF8uWQr~gR)cMtyzjfdGES0^yRQqSKo-iK+=Q~1!p
zFXE`09>7+T-?`{un!Y~6CvZ>-?+R(3?m4n=%Z1C1Y{($(Q$NpaauGRRQ978kPoBmi
z#>Mc?LXLf_@RP6&!>{24Qw<tYeihEjrd7dL()JdR_USAgi%>nxIezLkX`ePGsE;(j
z-Gy7e{DMtg|1I>vKhEeSllpC}XLj)`yleMfB~pKk3?!Gn!z}vByrjMk^jnpT!5c@}
z>q&iYGmuu8g&ALnKJJ2buiGsDf{Qq)v`Kq(&_g!tAN=7K^Zr&iS=U-=1?H$7>G%k{
z7s@nIzry#Y?wRNHaP1NE8=GLUkxG*faO{>N+qM!vtKabw7SwXR#SCw4yi@rK&b8Or
z&IwP3M5h+P-#KkQa=})fM#{yoP0le>0r*3-8f7MYU(Kq0FT5#==1CUZ#&*nH9FF<#
z-}N-Obxn;;0@iu+^1uW5kFrp@EX*hxJ9!&US31O@0DCiN#@>O0J}_sf!H?O*-EYFe
zL(JAE;Y%OJ*uvqZFZ1L2u;0z>?o051^iP}9aF3eF)hn>wrKSl>IDJ{%+!Kzge)HHG
zHoiSX=?!o3$~fo*ZyqTgIuBFY$4@!K+fLfvxB$CE`T2OjE6J-WR`A<Y{TXlAjxlr6
z8t$bz?B@?B(w}cMh7axKmJEay44B+a;bXK^RX5=Sf9{H&gw=fCOGUy=Cl7UNz^lo5
z)p4-)a(1i?EXQJVBoQ{YP?VN~lP;^heF%?mKUolg7uTkaX2O(_GHD0krR?r^PvHTJ
zI5Te8?#OwWLU^^8my!pj-fdJ{4j+m%Fk7&|`pq457vI94-?mWvg^ltT|9*gnc2ZT1
z!7Z1J-CAHZOJDn+aMCH&f88*R6}|E>tkOPP(hF;Q`v3d}Q}7Nc48d(ITN*yY{AxFr
zhvDg!YZt!2&2+wD6Y!bw+ak?y_l;L8(=hYbrS=w>{&wE=1(LpZ<#r`}k9BBu3Fhpx
zm8yo#tvYT{Rp5P}@Yn5Su&4A{Wor20n!>Acc=w`d3j=&YL)iBT{G;Dbg$ceTe1kg|
z=J|5Il^u=_JM%dS-q&>X1Q*Qd@hUI{9^2yaaSz<&$!~oZ&Px3qE(rfR<hwB*HZYuE
z5rb8``$i&Rr%30vgYcT;{_xxIdbzckH2gc~meY0EKDnP&7Cy@Oneiq(CEM{p89pa>
zv&k3Ue4u)V8eH|X!~GIWx2^1<F8t@-ZasJSHSb;veYobc%Yp}7c!~FiDID!s)^!ff
zJajwV9B#d`digvYL~%pJ9u|3`Y-$g`u>1AH0lvu8l64l&j~@Bw12^rU3$=#xoHR@Q
z;09-HVO#ipy^3NGoW&GIV+t>w%vlbG*QM&7nZX-(WrRh*X4n2k8o=jIQY%HlblyiK
z4B@k}YmM=6zlHraEqKk*;`%+f;ntv~E-V$UpZo-N*4!Yc28VV(J)H~R4^;T34%ZZ9
z4;I1M-z?uK!bdaLlZ#=liF=O6VVC)Tdn)1ZsX`SQctectP!%jwH$EW?3!c_IR}a%T
zuQW)&11YHjAK(g8XVxRIS4o`oXIQYub6yng^ceZw5A#hwNjeCtGz|KW!e42h`R;|w
zMMY$Oz^ijZ+`=%=l2Gjoys2<#nGepPaSND*Ra~|`+6_~wyV5SfaSil=oNyXNQSCo?
z^0bT~H#}2ZptIpM)^D8>qh^Kg?D$2y5&ltRp1T9?Rrv4j7Wk!}=1oR8MB{+&R#+t1
zTa*c|92e<hgO9$kW}tyxQyt?t;Ab^AifG}71rEFTVZAZk3rpts{-@FwCjj^Uac5bE
z1(Vx$iNa3(x^r`|#ubXsV(@Uq#l+w6<Oxdqqi~QYkKrgBEoJms7M|dc{`VbzeB8ud
z1>T$TxuhGWm%aa44R(#0G4F-r!_)2c;5vbq(jQ@G?rI(b`0I4zU>iI({4U1~*23St
z-h-7wcGo+?MKzlel3?$s{rVT-bo%QPZg8;X(xNZCz0mcJ2YiZRQ*a<0z3r{09o){*
zvls#!y?ONO47|uR8Wah8$qP9t!_IF{yWWK<otL+qfS<%WE~db{3*J56PmX`nA(Re>
zaYbo~!p}3mKhJ?zcjRy01^-&QD3lLd-*(UEfw%F7J}-eQkI<=ZhW&n*4!?p6f7MRX
zz@ow}E;aDNm~!Z>8QMF}uPF_%;pp#ub1;MLAAxo_SIF#LAN=Uzx6?hawj-reKYXTk
zWpDu23Uxox3F|&eN*;n&?(UfEf`7Rb@A(PS7z8ym!<KW}gA;J|p*<H`;qM2Xo#)}s
zJGV6J;2P`o-GAU)$Ay2@!xGy$pRK|V6~kMr;joE(r*&AjX0O*<_%n0k+~!KGXR!^@
ze+fT`HO;4mH<j=#z9MlkAIv1+eaF04R}su$LN&J?e#Ex*axr}19M4rQSXwq;G84Y}
zWB)H6nAutBa~9ktqj_a7d{-yDEDipByID#YKB3KJ`2ZF$nXEnpJGJq4_`@~l8*`-L
zdG##cKscUxO5!-YF>Aok4=z?Wn^A@}W^Ddlf-ju8>Zb+wYS$M#!xqch)4DMGLuE4;
zSi;2J*96XHOl2{L+ZQCJ%;AsD%&#oqH}NJu_ORWUg_jomPljRgENrFO!l46GaUJq@
zgWtUrcrFF=|KQK`hI6eVjgG(<dNf4+;p`7(OhRyy{HI4j@F8FJ(!KCMH_8LyaNf%^
zZ~rqzd2{hpNq}W<<~ja?`-jt8@5BG?yBGHco)kGQk^^(oJN{P%vy3sOKZL#dY?@19
zW!;_TkKpQ^QbHy0j_=>wlHhsvL)7{3PV=eo6!`Qjdh0wmt*MmaF6=Z;Czk<V(=C4$
z2hSBh)w&O>@7>OI1@3%QvM&Li;bH8#3djAH(Ts#I6_+HQgugGD><xv7%d-tMVTw!Q
z|6PHTj$V1d3n#SLG<(AHI~+{;;SpM|yDspFMUlsgC~w#Ei`~w^<po=8mSD{+s-xy`
z(QN(GR=E0}A?qpFCM4al4c<^w6{H1k3BG&m8SE^#%UT6ydhM`S0P7d@3Ch78zBDRf
z@E%_cYDw5AvSal+{J^e{RSahH{Ac9~-}rfIUXUEWQprx*o1(xKYJT{Q?a-yu@T0oG
zZyfLu>of^tIHQmvX$L&3yNO2?rkx4*VT5~bSAHVxpVxc#1N3lp=<eFXu>QX%bQ@s)
zjosHsd-{!O!GRL~^6dINX>W_XZz?aDV1D|TM7}ue{#W$hANbbH-9%pam0^AFH2k(o
z#(=cv{cm_BreM0dpY^1@=hLoW8igNaMg(!fGVD9ge}j9kOD{6R>W`kKJ%`<<p6GGI
z9nS@p3gChq{W=!-H;qB@1Nbbxp)@;eey-Cb9nKzmT0^eC*!63B4D7G_@bDh^36<Z)
zXt=r$D<I(DR2uCY@Y7r64&?kw+5W$7!hFr!XGwqaCG74~Ke*Ru#%>?1LMK4u3(sDT
z`9#hyF;MvZ0<8XeF@}6TsaVc%H~72#X)Y1C*i*Pd0j?=>@{)ojw*^`&!8#us*N(wL
z5=(N@aA!7axdN<bnVon9PN^z7a0Gr;!0#gl-^u#>gFOGyO1GWju$#GsyAte5acl2i
zW8{ZSZ;&=zDOT0I1aA;mWH5p~?l7%3z=t`<?QCG~CkN9T;o8vC(@yX=T50Jb*mla3
z{Q|tjR`=@*IOxpCBOh3jOWr$$q#qe*xdOi`(%?vgot*ScLg9G5y9;sf$~m=dq<ro#
zO-oLIS?yn@+=eBd*&XtSCFgI{k^XDS;7m^dT(`8WmkR6f_TIS&KNzWh_W-7BZkKe2
z`9zLsKY@K?b}Ai(dA`${7sGw#E2GlzUzgDDuVE!ul?VGs`Y9UYH?WR8ud)c-^&)hb
z^j9k^-k+J_<#*5MNqxMwN6nvw9Di?r0_m?T#NCck!*_bZH-CnW)#ScxgsrD&W52<5
zPR0p;jPU+a%yh#KSSXBJW)W@<>x-I!g)4-A|A5PyIo5x{l49rezQd|t?|G5_&Hr<-
z`BQjDo?9U4zsjcs*YjZs@xOFy@B!Z~3GwiLUpvVSXkT{MXG`CMjp?SU=wWBA8}rxU
zw)2f*TVc&docC_RIcN#l;Ogwo18(pP-}MpFUvbD<wY$UhRNF5Iz^7AJ&YHr3OT70;
z|3u+>jouvA8Y|$FfERl9zt@1}s`X+I!^-*DPFnEO=^-u!SYiK3emQuy!6S<FSDZ9e
z?~lR%j!?6c_VOGxhlK$AO8cFn9(<HLbX^dB_~CRD>7RlHRln?lKV(ORn8B{$9J~2p
zqk|=hF7WR29qSzM<DdyWSJ+2JiBkv`KN*zu9Bxc|EH4IE#GjZhfZNMi_esJ+nCAZg
z=MRQzk^8gle9=`8KiPHbt^yp`-S+bnY^AtXss`uw-4ySIb7%LS(1Bk@RhTcq)%Ww9
zj9?zw^BIe<2~$S_d0v~QgUV^D(EhzN>$HWHzwD>j3?FBU-su3h$1AY1!@DZD<z3;v
zx>1WA@L!gy;R~=+=lQW+@XraIjlS?*<}G5}utDbUCw?UTzq>C5h@akQ4upl&#VGf{
zLR<b@Bl+9@w4p=?PB?d$KL*a|F<;e!jXb1IC&Av?<IjCzSAj{tbT~8LbIBVHD9-1~
zfFC*k4)KQ{COIhP!Jn>OZn_GaGcMkE2FsnkG!zAU&lKmC!hdp?gd$<#t`OaFSijD<
zC=NdHL)r5UOe;LU6boOWnR!(MbG(^i%!DIZiwBxuEeAWJM{t(FdBKlx1(m7G3poG4
zQH@^M>SsgIbJ#O#MCuEi^F_*_3HCC5X*voYIr<>!1KfJX|HMyn{IgBcBk-qrOXpuO
zUx0JqFuWwJ`usQC)p0t04&GQQ(!Bylj23;Fg`4{MxG7M70~At!QC4F<z;=rg4SXeb
z{wM`pHOAS_2=800vg3!hEVKOC0V~Wg=JLXI>{?;m@IqF5=W*EUr9qAWOnY)CrxGma
z81QQ^eDvR<m;pRV8ObURy9~(q>cM;N*I7!!B?+vNwlI}cUyvO9ufm|y8a|Zk#;gpp
z^i!+`!5OW04r{{PPY$aD!U?{+cI&}T@}46}u!oJhnhE?i;E`}59RE!ClNC&xs%ZEM
zJ}O|h;s`H>I;E7ug$pMxdyu$;u>Eh?(KzA$W!NxUJ#P-yVc=MdhQlr%EV6xr&&!m=
znFzZuVk<;=Gj}%)Y2SNfjT0}y@jt8%WWl#|YzBQ{_T5T8PvCk^w%<2lf$_HFLU{ec
zPT3o9XlB{|GWc#;pnVQ(_193p8h-NpYF;+1$~7Qg3%_#=(Rd46NQIqghTXgTVyfYH
zy~$5M!X=OQJZ^)Xr_|beNqR$;=~j5h<R|Yw`0%uoZ!a7#elvL(_Ih%vsvGW$*`+W7
z3v*?w55S^yZD%IoxY5YyFYuOT7n*4}SYnXlJ1pVDbKnomPW#4Y1TIa&P#RW|*fu!{
zKk@ciScBJDr^P4WMYi_}ROo;E8zNPg;q(6m+S9?^lXg){@QDkev<z^F*K;<ix9D$t
zrw*{d$(g}c6mV|aDPK0&k%ilH8|=`{mdXP^4;_EG6|O62SLB1+T_jc5VYwgo9QMHn
zfBp;K0lV@W(}}=7c_&zT;N)-~F$s7~YO@75oUwPbQxZ1p)cYX-2fusvR}Stvx8=Yd
z*u_lcxFSqLeP2lme)}KGS#>zA-|(gcod5GXy#{R6o5CyyKPxOhXaFx)Xq(Ew5e(7Y
zr{GVqcSnxH;v4P%nZq8Tio#0prW%C@mayyLu;P=jL%`IyE1b5aT}c(*=-eK45zcAZ
z-mC+^*q>8G##7QSikP)wGrzmWmtYf}->IkJ6j#@)LGU-l+asr7T~15B5SYHK)zt##
zIxejm0f(2KDK>*g^+hKm;fl=}@@HV#Tn46iScF9)%ogV6+FX(VJ1DwuJqL&0t6O^v
zb7+U8I>IJWjTuj1^&8cK7hx-tyoN$J{DzXND{O93>{<lBNWHq~4bMAWDtiZSjPVHd
zfPckBSk%Id#d(ZZ;CsFLkGo(#pXd}{I91G5vxlV5t`i7^MKUGhf51(L6N|3G@_S8X
z#^Dg}7P&BZoO!f`2IFnlL|G$$_>mEZCmo!q;W~63zRCZ3n2h(;X7pbK!Mql0*Z07S
zLxIP_;m6-E?>qrVdw3azz+VSis#RgXPY;G7VE!0(zl(6|p9=~k{$zU~w>x~BGT{S>
ziw4q1-hzMc7)T-4i~1WN9sy6-Q3*!F;h)5>q`=+mTty^3%e4aDG+5F@UM>#aUnm_-
zzR!jFD>IVx*gjIS3|?eAlXwpnG4=MZhdH_R_K@_AJhXd0z=Jie&r)GJ>9b`&VXt=P
zx_DT+n%;5}ZkgDxcOM>M8VQ<*mni8INcyKskwSmq?|*jlX2CR99ko{B8je+m4A{M%
zb#4t-8fTf!gKxw&$!^8>*|WP}UU>p5F@z2?!F21b8=u3K4=26EVIRM5T)8mYr{bLw
zutVMN$3-v)_pw`=@WeS*zkK+-#&$7n*!Axos#2JlvBu95K30AyilnbQ`)HRnTx)QH
ztpdK1e?|E$toKyd@+JJ&+2*Gce1h-D*jt!uNS4tZK6j&g{~Oq4U7*+lZtfW>ZGiP&
z46X*lMhRPwzlT}YJ2FDy)H(L%7Pv|7c|#;jp_Q|(88(*4WVr*&+rAX|3NyIelum>n
zFDbk9!)J1{YcgPoRu^%$cbLzcd2&Amj_LX_$qxU0T0U_f<|&_D-v?*Z7QRn_6D6Eq
ziNG@oWiI4=4Hqt`NWxcs=ctnFHO7prNx?UE7suX(8B=DM)nJ~yG}j22Pr|lE9qzMA
z-yQ{vQJyu{hmVJZ&5+O2pxCqR6zsq0M%;DyROpu!bGW$P;Ubw|Iq#xwWC=U(bYLa(
zE9dv<4mrSQ{p4qTVTu=J$!Fo{WZ48VzjAH3YL6Ri5Wm%(Jl`<3J%jFW`?k%MUhvt?
z67#{Z-C+B@^RR1Ce10fgDBXPQ0^H%5b|eb^n-RnA2&>nv{JITi-wClN^EJ!;44WRp
z4_XuyY~iyR&TrC5dg~+K?clOSca2;)L3*az3=Vf}qJ9d?r;Ip|`5TjiUAK$jz-{r0
zhH!+c@X1ox?fA_fr{Paw5}j3WU+X~13Ap=nm)bjcfx1~q4c==x*xm?pa=LRVz+)-G
zk<G9xuf;n>xa6+Xj&68g=W^;%xaHEdwjMY)d-S*r%r$n?Y!Lpv;Lm*s4)$tc8HVpC
zJJgW!uWQ_Q|0nEq{a>00ydJUBbP_h&`2MFToHTmKbp;Np(W@1NS#G-vt-<2kcQOgX
zd3@orTWfH>jMND}cv7M64->2?qxprTANe(LR~U}(cvHFyK4T!DvmbW4GA}L$cb|$W
z3L^2w3}Z51#WSVzHvrb8kBlduS8$V8ZZ3ShM7x4K4->C_vrpj7V{S{ju-3fNqfVG&
zN}0z5RzC9ISUYS;8(C%rYo1%$`Wyap|NK{yzdrg8PS3$2U()xTgBPnGI&Y}O{>!d6
zbxD1^@?Eij686$`kh}`-;XOJj3D;5CnvwGBto`wz1nlm*dp;b_wW>Bb4O>UBw~+cv
z=_In<7}gBC^(zj(!8%1z0#og(Vk7g56;i&cFJMPQ>MBzIo+VsptAIOZo9>bNC#o_U
zUI`C=b~uv@k3Dgr+VdX2e=uE>djvam{dg?^f4;OTmJK^v)R-v{uim63^OZi0a;!>l
zlR(4@ssE0d>@UpV8_#HaNc~?jyyI#C$4Zv+lk^chenGA<W0c4Wx&DaCwCqLr=4g+4
zGHjsPts4lxU{L0dg)e+pqYH+G4DU6N`hWe9TwFN3mu)Sb)c;h^Je^3`{cFa|Z8#%6
z&Mpn!;6~YS9d<LO<bD9R%@|y`30oXpc$^LI<H}Pb^?g^owQUZ(Szj|Q1a6o(>HP}s
z)J}H20!zLw6nhPSJ|+E%v=`mlDatJ{HE+OOA9(ui`f4jIu*fw;+J{KniETr0TCC|y
z(mp72X*CbSy?<1nlJq|X_n%va+2eh}NP9rJCvwj!EPb4{gQTB->2s8^4*h?jY#wP3
zvP8P(w!+1R!uLt~v2QQ#?1SU$lzmD0noiiNDFSctkUHlAw?3R1SAjLhl$6iFd+w=c
zsKV^YhYyqfp=@4I$p*f~e0Zx3Y`i~U*%nrK&}UB4S7bPC^@JUMe3T^f!()0?AG}~b
zb>4o`zN8twICTw9*te~iv@hYg8yN%On%xByq&`q+%<|oVKXxYck@|9hS@BB@eDwTi
zfIhtcsgz?f99CLqauPP;4CYORk8m@uYrq>t{BkqlYRdn5kHaI1Z|xt$FAg8|SAm1;
z%4VLyUL{+N<=`D5t4|8y%yOgEV{oSb??W%)#P+>CWPbYR@ZsrK@X90CtE9d=oD%h|
zfq9H%PLuZFw56-~d${P&)#ZcmdliR@7FcV6HlG(B_x~i;4)04;J;e{N=Cr@;gVTzF
zztX}7-`kE4z#qa(Lg?W%N=uJ1*hAjcVgoD|9=87{{A4tZY9kyi7gYKSzIaHle+A=-
z7cP(8=HZUwXF?Q+huhx|rLM>Lq0N}$FXHo?-^y=-S--L;k@1Js_Cm+K@CLEx?hCMU
zT|2KZ{3iTGA&HNEEAKFb4OEZZBJmTRpCgUnyaJsD5+9(dln;V0byYqj@f5d#zrk>y
z=ENY0-}8K(n-5><Qz<9$=T%?r3*dcUkL#21&|p$^WIG)3AaWlWFFp7@sM-muWo_{x
z_v>=8&1@9@CaI${3!jpoVfg{`sT+=w^SSA?%F#67eHKG#^$h%H|KtKK>|0XxYZ>l4
znXak>yI*PjK*ndAFTSDBgSRwU{70T&@QA`pKFqpbsh-?VSNWMI1#tNmhRvH0-<if^
z_8IQ&>K`ESF<oVrFC=|K#V!)>%=!0z(+7<AfBP(uIKRxUKpHru;(X0E#Mcvz7B9f9
z`vxaD;0Jd5j=93gELwx4KcTXm{(K#_(QVi)1e?ac<PC#UL%Y%sz=09A>e(=hsZ}E>
ze<}8Yx3l0M&-c*F!~74PDzw46)728H@REjeSSxI(wx^Z6Z;=mJdpZlh;%ZqS^((RI
z#oP>R^`Lmd6do_MyhGE7@v73<?RM}Z7lxiq@N$aN=CiPSN1-P#tUxbt@FIM5+2rLe
zI8$`7(HmCm?HN*p#g4w6zXnG>^c7Tq7ei&0g5ZMDLo#}>_HFuex8QvfEde@k?tT7^
zWIQ&x>sYoM>~Wkzl#JJ|)V57sfaiN!x{~08@mwEY_(*>KYC4SFN?&`!GdY2o8Ssk)
zW>tSUr^v1)55B6G8gUi&VPoYifGu)0A4I_vysOG(@V<v1M<ZY{yU@W(crS$z!!uZK
z<7JvUxGp|J|0%rkO~>d1+>@f|Pzf)FX#}*x_O9=8E8ucrS;0>D`>uG&T9}(cTDKqe
z{I}`yJNR~qVA=p|@G2*&6K)I_uKNL3wX=4%!{Tmx?WW<2tEc|W!_q_25r1H(;&O#K
z_!5&w-(Oga*YMPaCaf0@w56iN`_O6T7m1Yc3;YiW6@1t?fS(R#^-Eu7hVQ70<!^!$
zR>~i-z{BNBhquCNy;Qpnz+b-%ZX)R~TMNA>?`QvpXWwClTSQIR6kz!{VNQ}>dOEC1
z5mwfj&18e|C+%bEa8rZu1S_07)Nxw_{?Fn+&t0&_aoS-s`1LWPwVm*r2Pd#R1Mk<r
zvftbdZ<n%rZVzu%InlxgTP$aoIKrG&n~a6w|7HereP9b8{b4~kYEsz14^~)VauI{?
zGB{=4gysBB{t<zr6<%wG!{2B(2S~!hQUB7C;pCGCXvJa0MdK5x@am88SZTOC*zZCn
zoVD`1_XxcCbU*83c(Yf5ts)%Aye9t)_PksASRSs^cKlHQw~k&ss0Pa&i`ZHYuWj-0
zK0(qC|1Et9n@9_<Yr|bPPtZ2PM|^p2X~0QmUKcjO2cPvYpMqUENBcVAfp?9@`mnsU
zO%QqC|DiKr*c9fwSJX+?17wbyx){O1+m2otgSj?t`C|o7ct^A>!U12q{LSHE!JXb@
zJ;LRU*J<qGAzJ$}vYw;gwAj-Sz7@SAS_M8dZn<g!7yR>}vxNP;y_<~TUWO7ob2!$Z
zRY@0a-Y`<^0#k_dHfh3iY&=`YdKlwVmz9)Z{~(j+;qbi6f2ZW&xC{|fvR>!z*4VEq
zaPNER;5ayO_a1(do?o9?I02r1_&$%EuQikZ)P49)mBH*u*eHo&`2ifqI)BLkcG|Ul
z&l9*y?n;#&iC;cn@dEa@Y7L5npBgK~=D}iLHILnfH^+bPBXNfF7SrYM_Rfq#5`W#)
z_v97a6&FHL09$r5zixt?el_nS>zjf<-KA(Gu6lLp6+Hj_!}fl-awlEJJNVb`6DEDI
z!2HJf_ppeRpUVWiL&uz}6<*GtE*OU?J*;a#!X~3((!XGvwbJQcIMQ+9+JEr7lBQ$*
z@LSP6F%-@C{-d<-><C;wdAoZJab0SyvLEonvX|pq5zo9`Ff;>e7wkH~2zOcz9h`&v
z{Z$otV1codX8&NB=UJiL@L8VuM^spUMkN*?sSZD8y3kAq&x-Z<sluBd)p9Yy2mbzv
zFoq3cPpIyI^Ci^UPQ#`La}zjV@AWeyj&LE5_!~Yrz`H=m0dDk4eNNWH+1LHGNrWk1
ztliiRzuQ~Hl?-Q3QSK9l^_&NfzlJ4^Ppy;VZx7sCtArhuIsXd6ztWGU^uiO_)~&l>
zBlG`^`rz}q!u8~QR^HL`b8t0{T^c7m=%G^Z8;;^Tn7|8Xj*MtBwqSgB$?QBkEH7|x
zGZXB1?>@^;_-Zv@3_Cm)S~IZ?ew^K|wG-a*PhFN3zV0z*Edp;Uu-~=?Uilcuc>q@4
z^!O!tK1me3SyFI`-s|X1a58nH%@NqxXZZ*XeDdk(2?bc*h=Gv;ZZulSQi2sVPL@)_
z*S&9wX~6fY4I`J3KM{2zlbY~cP_*PStY=Z~We68X#?#Hi9j8nV8o?nNH0ETzU^A<S
z@>w{TYoj>H|Leh9*PY<D0-vB?uu{lA=F9M3^>fB#z2IJl+LkNutLLAyr{LVofuTrv
zY1{j2qwu?BpVZs%$8XC5q<mF7QVZULPk$O({tC<6Ck-dU--<M~$a=$~w&LG8u+2pw
z{yx}PS*<V+-g?Qr@iW||(k)#Kzi$+O*a3gFwEt5ACp|i&-UXlQne(rLLvKm$YKA|?
z`^&t6eZ=hR$ofN%ur0L>@SQxdR8pU$CgTGd$?-gvD)sP$z5s0}JaBOLPO=`6+A6oU
z3tsZjdG`kHkd@K-3fpsRO(g3P<z^~q2VveGyYUM6jN%urSva~mhq)FGoi(wYf$0+I
z&ye$HtNM7Y!$Y@CqDXxmJ~&;z3O9E?V*d_zQBaheZ$*At@0lU%DeorSb-Mspx1}8+
z@w!4q-XwUolx_=oehWff{mHN=$DfVg;FmXD{fgm_3x@sV`Mp+Nmnem4FCOn2fUm9G
zYx@X0DaYsZzy`}gk?rv5TmQ+8!MW1sCj~!Zzo@4>nFrymdnmH^!mW%QcI5muTJ*1^
zVfMxOBP2fro~C-s!l5cUL!^EA8^OP>3^TqxSJDYzjwyU~0+##o&axYh9zU$215;1;
z9U}R0AnxtDE<D{W)=%2AFgx{ICd8MO3hUrw#UEA7;0W<}lLq+nl2NN2Ty-w}0LhQ6
zU!QN;!?gd+b-yLYKeOBJ3ZH+yl=~94(;8{L09!GhJVo*+JkZ6&mmDvtv6>4f588gb
z42y-`&3X!VnogR8!21TGE@#3kJ8fCQNPMM>|1s>#FqswwJ54`JkAgGnrP^ZQRGF!h
z(eP5sThkOc`9RIQKdj0X(RLr+cIjVAApFFM-7FiPu*ur#1RqJ<7x@&{>hE~x4BIc2
zvzEXu9^vOrVcQAw$Z}X|@;Qq+92GOg`WCLgdgCWqpBa>LwEZ0%{_bfES)V!c@`G6u
z%s-9^Uihsu^Ntp{H@CJ_7fv}QwQm6CjgN>R>oaNWu8a=CcSSn-HDEXI`-`*i<<HTD
zr2lqh{8lsvCtg0eMB=S2Wp><c7#}Ck>5}^~vEDPq0h@{K`D+0`9WL_bC%)3E;|h<6
zZ&}|3JLOX+dc)zj8lIhmjnvc5llVXY-#JZ~&GZY)ML1S4fBqC)apU4oN4V@ARl#Za
zg~QVr^1NOT-9Bms)9jUTw1Erxhv%)~YY#3Kkof0EsTtug|K#t_Zt$>?>iA8##alMS
z1Lk#VbB}>1y461i!+vF~%TaJ{YGQCGoY<KbngH)oDma)0M`_F_M8lFJTl+}<w|DyT
zCc?*sI1ZBj+hzGiP8{sFG2|0z4?LpjB+}sL^t9BZJa#8U_@=;VqaU+K{f||QPOF4X
zBG0sw`fof!^Q{8b-Iq#3>Yt#|prb@PzF*uqBl#cv+W%ypINY=^rj7Ks;&bt?u5k1t
z_Z8CL)~hc(cY%F(Jy)ZL--#&OCcxAQm7E)3iJ>1{iEvAteHAVIXIsVbS1_}fO)Tjz
zj`UfsRlwX;B_q_ZYlzym7I<anld=_D&!>8<xfNy#SfL^P%}h@F;2?bI{`W77h*y|h
zOc{pF&)*JPg1b{j_e{Wy5{3sz|B%4LnmP?Ht}b*>z$daJ1QuY0tj-+Lo=9EZHM|I`
z9rH3E{l%3_@#iQyFh1PQ_m8w6XOs$uH^8Y+Djt#cL*~X_7Y6vAvzZ2Iznj%0ziow$
zmS^Tjdm+`8@4^mu-#KyN89bK9f1ev>&~4jM2zO}T7ZQYPa&@c7c(3$n$o+kAR;Ah2
z3|Ln1+H)D0&6;T>84i(}JTC|TOBW7Hhd*e3jkSX7>_3_$!Pi_hbZlT=htYnL|8;!Y
z!Bn02eKC_l0lD5MpZCY8VYSjB<06<tMXsI!?wgkqA??p2`RBomFq>m{CmAnBhwNow
zgKw-<Yu|<Qf4IqW!L}<RSut>#<YMu5*x<JKc@x-#-KvWRKGB!UVg~Q@{A#%uE(w_!
z(}x#51UQ6Y&J^1_r(oL?S&t6EA-ySQG~tMepO%uaaRn2DHk=@NZcGj?ymeww1>O>n
z_edU|lrF!a3RfuZ->(KA!iK=|u;0ORW9o3r4wDUvaGUd_n?Afs6WntIZe0`De+r(}
zpY@l98w;{a%wg&t76WmZVPe3|5^hYJc_azbjD8Eb0JnXk_1O=*#j+{5!O6DXyF_7+
z{-g#!*!yV2F9DcYtSRI&931jHNeF)ZpZ1mzSagcol?RR*ztRv2`)xSS$_EeguIop^
zv#UPi?C?<4zAe%4#o_)tJK?Vv@)PdC&s>MkFvE03UHVC|6}Jil3!L9)(w`2CzCK>G
z0geew)z5+#9Uqu&gg?yi_2<K3ml6-G;`@-FfqX&%>^wWyy#|{et>r0)!#m3O2H;AY
ztqj%ho=4P;gYdL)VthTELot&|)>}K6r|W%yl~RwM=z|r~gg>{#v4d+94Y2#JLweot
zthe%A@_n!Q@$0^?@JlmZ$9Hhh;;Xnpn6lE2u@(+pJh5vW_K}bou7HnDEB5__(`_%`
zs)R@Fo9*V{DrYT=5;$?ahWj`C{!BP^89Y9to4o>y{Nu|d-&Y+}B)KWN&>oJLnr6WJ
zJK5>}L)?1e#{Lx8nQz1USy<xhnnVJ;Z`E*bFMR(__|t2!UiQ4n7kErG&oBTsZVvl4
z3e(JM|GNM`D;75)_gfX=^oXn%=jMGsOwQ*hy^5cA<NfEFtueVj@8)f@w(!Zqg&}f(
zkIy8=>%)<up+@BX{>?r<b_%Y!x^svIE_LS_ISvo0CY@%0WtW5^RA8^LgM%!vq}f9E
zZrH|h{R1bg&AxhoA8s45SKJQ2y;MlC6Bf6_N*UPrVq@VB7=MH`wgGPF2?=3@r9=E4
zZG?Tl<w?-P+VjVv$^C}%?(6%9`IPi0p45L~LrFF9B{*KO>oR$M3DTRXf5BN>oTPri
z5f#D~|G^&v>hs9+NQ=#<9E9uFhIpr7R>RMxU*Stv<?oHavrjL*BkvPjdd&sq;n>^4
z=i*_Dw2cMJu*`qAwuZqwf@*fJ!@iA@W!GWus0;a<alapSm0Z$>H)h>>Pd=~i+MW(g
zc-#CZS$a6e@~p2ceD9lPAtQX^sQKQbu&ct4)K#3%;vwZSnSbW&XEP?}Uz?@3+y}F%
zo;XO#XBX8QG4g)v-L;Do1Mnrko*`~{A%d#61zxyw=LIXAzakj(5pLbg&%gqg9lE%g
z)Q_f3Nzcjr^O2>TD~<5nYY93kSXFlR*IT$c#UYryAAeCL$V<{Qx>xTb@5dL$zU7ef
z9Xl=f@iTm$?l*TQT)O+R&lfo8((~+oc-U0vWEaevTx?73mwMiBwi`|f^qBk(TUYSb
zw7~aIcw~*iLOgEgKEhWs4vLZT`ScR=G4lTYE5m`GB>#%A!Eht&Xp_4_h38csrDpXG
zj+DzRrG{tt<2Kg9M-QD*+yXPT34N-7pBI__BhR->q)M<F{v`Ej3omS%q`p)NGwf@w
z=Yxl>V;`2ow@M@Qg<*GVHqSzsUgs+Pe%No;YG)BVYakad348fkRHwsE51DC?!eW&7
z9m#re?#a$rMY!HGivBL#vp;2%3Y;2s%031*JMrnNEWDFFJ<tgj3tZ(Uaqh7zeU9*y
z^x-%X&#CR!(}5>q{NIxEDP-YaHsOL>#Yf2X3fE@e?}lIQ68S{pt<($W1z-=+CEJtm
znrH1cR`|^c#cnNF%cG`z2fQm~tMzG^>cXA~vOc@IB%j?Fwm8gphza%zzV^r(7OuTY
zP1c9-E3sSH!r?}~d9?7Mu<`HC@Oht>Yh=Cl#8|)s7r3e8{T{NO+bBbCpBG#ax?}Ml
z)|+h49sTAFXEm)(uEW{Kj02<L7#F3gMR+Fkr*sVb$5@<U8O|4s(0&9rmbnbf!H0)-
zZq9^%T{PRj0FS(Ty|V;Pj*eI(>%VhmPIi^T_6i>JBz<H0Yxg#oFF}isobNFGf$~=P
z@=@&_6u7^eCz4N(!v)UbD&+Ika!{xKfa%sXrMJLR{VviJ-Dt1rWX_W3C${rrz#8JW
zlb-AIz*=c{UWp_AWT7}f2>!2sg5n^|)){bG7XE!(!6yM$cPj`{hFcaQUdO>Yha-43
z;AO7lky2PiS8GlQE}PLyD~BJ&FN~4(Gj5K_G97Tx2Fr-U@EaS7XWj52)0jg?;cDO7
zBLgt|DS7IHaKHwSUxV;X54SvVm_GLKm2vpkRHY6doL6^!W)g0sn)pN3^YEr<`Td6D
zgTw20!Yj)Ei7&vdcEuOC;I-(IiZwXjQy1?jF#qz!(3_$M`Oob;MxKYnL(X*?*sq%5
zC3#+1cgo7?;Q2#`Y_`IcP5#HX!&46L#5cop)@&;*u*p@rK(fBb^}^$=g7AIU7=0?Z
z#!K#l5KNOHFhlag;-%^ANw{_;pKBW&bm`4ub$Hy7)`i@Uh>xa*DLnk)UJ|+Akqb}n
z7{i-1DaT3vT=taAbb^nS#qZb)mu5y!IKtv3ZI%0Adm{s{i*T3m*(vh8!f!u$<qA{0
z&%P@GFYY|2;sev&SA0kEbE8>BxEE|P-@>E--)@(^9|k9NpI1<W8Bg9A4T0ZRzWkvM
z3rVV8h=d(_%vkl|u%gJ~aCnrD(%uj@7~9;C0>4y#5^Di7-B)K!hSwik3|qq)pWpE1
z!So%pOipmchvl<5u#$GOl?zPA=zirD91;`|<q3O8J$_pbcd_Vw@qxXA*t<W#ItH}#
z0kFWZ8fOE%voKec{62+;VbzJD7welocd&)R8N6NmjBwlZtCDcy=A4rU;TK{Z*Ms4R
z*?<j)U~hSob1|?5Z`WskSj|^c_7?1JkslWbAEFr)zYV{ud@r61-xPjNbsf%;Nt;Z8
z4?pP8C+S&UQ>{NG>HQ1%gJ7w=-tuSgglFrU8!&Zm`d}L@{f%Na8jjBYAn*~UyK?6q
zx&HE<%LTpgZd+4B(jFUcn64-3S1!MLO4@59GX?nu`1>7>P|~06XjS@G3UA$P^o6`X
zZ5c{&BiBn?%}ONwXT5{S&1{&twriFL_OQ6Qb|3yyGZ{?Q7d-i~(s~_kxH%_G)=xO3
z$C*UKjd67xY#5Jd2E-P6!dD&!yR*W^MVp0OU^WcURN;<Sf9q`EyCIW@$orPv&;0eA
z;aZIz%}elsFJ1px!ERpm8NP7oyHk!v@ZLACCko+E1`!PnSi4sIIC*~|exl%w61@7*
z&1?w1zpv5i2>ivM?Kv3_KlyIZEecE8Pzdp2JpF6@?g}rwk5k!y7u;OO@5v6&hg#Me
z!yL(v4M}-Oi@*l|un;rz01Lb`;F8c~m~OUjb_<;CYS(rJmg-WvyaRR{e6vR8&u%uX
z7gECO+jCEo`L;7D=|W2=Z?l2dx30oY{Z`U*aC!XG@-<ke>E*kBut!BA>sEXp=5D>F
zxd?M_Z>VB|k2dslt;05Qsea<H+ueOX{=!jLzVJ!F^MCy>lIsmIAI{f=XTIymtst&+
zHpEC9=DnW&o*MBw6XzF}u>Nya9g=?MY_$dX{duUlV=pZntSuRF7G|?c;-rDYPv4Pr
zhV#FVXEMQABQ`U)VC|hZOGtXj&X#)-@B&SjJTv^}wNl+(_-X2FFiCInGVNU=y!pS6
zyM*DrS2%w?gn$41Znqas4~m&4zwh5xS-nQ`uZEL@>lw_&^YOSM%<?G}JI`P}g4~W~
zb@*qN;O{b+CX1Iz4c^~bkoFShPjyVvg$w#@N9N$1JyPDvu+vnfG}%8v{qyfh8902c
zB!TSTklgpqla!ATdWPwB#CP?EOpx*+-xb73_J62#bPzoNzs>J<C;Nw_ei6*t1J4~?
zG!=tS9W(sP2^)EoZV-p>yu2Mm;-<m;hsb^x+cb^e^TXwmWBp{mk8=<2=!n3Key8b_
z;n^dGvHM{66rN(T-^Mw|NKVq8>|nn0jqJy<utC%MARPSII#LI|MIStV6!tS${%Hjp
z?)`O93g(sIx@!YlN((L>gPq)?-#Wpu<vnt8u+S@4mveCTBf2^jxJmrOLNI*f1x1Vk
z9Op5p6$A?%{kWMtk6@FsoESLtC0(=xOcPhX9u42R{&^$0e+ShAqKU9;ug6Jp|Lr=m
zp$Tv=m+~7@pDYgj8+r`04?3xF!+(0|qcY&0NAyypK5-qft;mC?Mw0yK;OE8eXP>|w
zKjj=r{b*~ej4y<@JZ#7z<^O_Ui&8$!J??Vv2YhdRt6K>iu>H^HQCRE1F0LXtCoQp|
z6OOGh)_4WW%JVREz%C!`7fRu4bTvzF;1RC)J!HS6W4vm|s$nO&<ja*X>nV=nQdo5J
zj*UIA#-?ch=dgk$S3xhVXa8z5>0h!WRlg3x$J-BRlKv%iS^vf`e2~VZi=4k@qkqXy
zSoTUC8##YA%OhH{zf-s}yKoyEu)FKXA9!FY(6trL|HOCrAN(hIfo2?Ls<O1F!hTU7
za!s_z=PetGE!hg6U%DDk>d&px$q_dAnN8OxQh(;IzK+}lUuHL7CGBC_GJgfxe@b*m
zp5jS(r6QyJAe_qR=zA6JyumYe6#he%|LQWFA><q*1Gft|Du=-OCkD7q!N-$Bwvhge
zM`etY?638swEf9Fc<i%_h7D}@j(RE{rkuQe(gBvR)V@&w*PC$rk^Q^UTQ4={!}l)M
z^LfD`2^}+}ze>4&M(-*-l(s0|3SXZ;nH2zkJ<Y2!2w&Jb)p-N{8>?{RD?IhI{~FnE
z>|gG!ymeU4BjPF9kF5Jz`phcqZ;)w}2D=Y^W9I#Y`uNs1EDN4jpFh0|j=FaAb3RP1
zCcWV#{BQ1T9*GCd?0=&H4|Il~ehwF_T@SbpM~|lo=D?j^SLANOCMj-$&)^T+9`vTe
z?-G3$$?=y%W8*Sl8_8!{B>mWd+{eZ6)Ko5aI?TQ!<xDB;Z#V3b2^&+r@UDkBdb*TT
zVQQQ7Lm%K60lK6IFh}%DmCx{A!{5&LU`4wu$}jMxYkRAcVeziY?bGm*Bki47xQQ#f
zZ3ecV@|H=0)%NxNX6nQD<;fHDF|h58>gUYxbN<Q_a=r`J)7_GA!QrddqhY$vuGquy
z_QU4a<KPCSg#&tUjrbO0vY%V`hyDqDSl0MIBXT}1$CWS_*i$A>=oU$DKXlv`R_5=y
zO41)<Trl*9o2%Wm$^LJ2!M)o8;ln{ik4S#rx-h*v244E4;z{!RrE&96Ec~BmXhSfp
zd*j<&2HY36CFwHU_r0nh3*IxEr%cLAyGG;DXYl@LF&0vul5{fu6u<^)&d$E@RMD%=
zZ{afwBhnY)HIbOwcktolfKfNtR3uHi2{sD+UF-xuKIul+0?*AxS)YSD-d?@i4RhMB
zirK-&VOn~<@GJiVVWfQTU~;q@himihp0<R0)FpT(;HuNY6l6a-S98TDbMU*Z5p71W
znKYflZ`kcR&lOUC-qy0stiVn!mo>@$bf44)a@XMZOj{Q8VP>r<iOrwU9*o-6orLwh
z3TA2GJDH)J+ORBJGu2L5=urEl3jClrvYHcq{LCgn6*f4PqP_>_`H<}>5BJ2IY!rm0
zn5DKU!WQ{wZ;Qg=FMWoOz<=ZTG!McOA1Ncres=}};$25!>kaZ2;_#-Tu{$zw%=fxY
z67bQAMGj>+_VH?uFuXjK+oJ;aWiad~``>*{Y8pQcYwVI)5rB&nuVxv;M$&H{3&D<~
zk)k$mq~f>_53F)fX3`dREcn&L4<BT<SoMHsFEXX>gxNbcz4C&~YVN9X!3Nvdm9N2n
znDTe9z;eFT>;7=JUd0=dK2e=|Pdcn#SaXLN4zI}_dIZ-`I({c{?}MvREpXf|vl0^b
zx|5;t5oXT`wdR1|KKyp!7ktg+tk^dAJ?l-8c{m`@Ka^ZgOd|UjbwAdZj~g2@zyjPF
z|2D#F<E}ZRedhLeW?+MBY2`0%hAF?&eqe{os|Ni@`h)F9?GM4)wU5-P;SJusypnKO
znwmN-to~u+Yi;<=ja4>En7-(dpDt`iFMobNEWrBV%z-ah?~pT@DhcnTW6KtSr#-XO
z4#WTb<~k?|Uq5l$kL16}jDzPP*v7uQh3s$Wzw2U{GQ2}RVvUq9Nv)y=C73l<KZop(
z7!*^YuK|}op#4nR|NNTyICc1tQ+McTxNP_jw?15v6J0{ezb?C&tu9>h!^Vb`f3~d$
zCyZe}3+|Y+Fo%Zy0VCMoy7>pGUv#l&6wbn{Uv9H`!t#`{!49ynLp%qm|KX`Vr;1=9
z_rmc@uy%khQ!z{%VG$PyU#U1I*#om=IiB%@i(jz*>V>t&^%+Tfp(nlV@(}D7W%Sh@
zR_^(J_#0fFs&JEBZ%g-Z^#r`uEN|=rm+p9RbqYTIM1YF)SB19=HvWN`JE`Qg;5Po&
zzsqp<O8+>if2pA@LDXN-e%Usaoq+#EM#yi19~wWhQ-kNuM$|LHoobQd3h*x$)leo_
z+2zQM<FKToY62hp-!^t58F<6ZHG|!7|CV=o$KV9+b$dy8`drdwDOkL?nC~z=LhUL*
z>T8x(Nv=Hnq5o?P>F;%~R1Yb`mDQ|cq<(04yf&7FC*O1Yn#Xv;MYU;@3LNF`s5%GV
z>8`m(;+2brdLQ7T(~kQ|e78$!Rz0k6%`Ah&Jr)`{ufwByMb}Tls|8x_q44m-2dnsV
zZbdE0Ob4=`-w#e}R|nXUy5oP2?mM2V?~em`NJdB~nMI21k&%&2qKuUECCbREP+1|7
z%qUby8Iee3uZ&Wei6}FPP(-rH`n}HY&*$U3@45GL?!D)pd&d22>4B|!1Lx1fa^*`V
z<a=9jdee9O;NLl$R`0;H6g*rv;iB%l4&LyJaQe{*xMw_`g?wL&ce%AQ78YM+^gj#N
z(#dX4fRiL?glyp((>8IbaK%Q>W-=dV_gm-U=kV<erQQ4BA0qN%8SpoXfGG05^k5sW
zbv8Ws=EV@1|6*D?(m}RAMETc{%tr~z%%IDJuMUVjnT7RkI0rm}C)->5$@t(>-SrD3
zznDxOxi(m0i`H-wJizp)jf}rihwryYfzOL-?RyRL_0G24hc|Nj#%03IJxbIM;S_()
zgIVy?MZYMLpI1&#Pdxnhl@@gt{GRI44Kf~hoIf-w53Zuy!xs*(d{(6{f}b2OX^en}
zgKk7s!YA426N2FGu^zo@SVTBcBN)zR+0|YL%Uu4+><6pxT#9Odvo=>+ll0)eCgoZ9
zV8om_Nf&A4U7Uj*`*KCdc(oGcc<h#MxZhR2E_uUcQYwa9;bFy%M@W3Y<oh%Hu&&Ww
zE;8OO6vM_N0Q;Tyc|+cRTa@-_=)jV<BBC$Bzy7+f>cUBSW3uFZdGm$q{7$fMz^`*;
zf2VvT&pE)|VXjPJaQ_jx$Z(j&%U6wzM_NzzwT8l`^w(6#{JJ`$B$qT;w<qr6BbdQV
zB`*cO-~QF{DJ;*P^Q#@6*pMrq0`HyNlKurwOy`dv<FBF|VZ|eG>CN$z58%VLV{X4-
zO80cihcKnC;PPL%=$k`p9DGMMxOf_V63gpD_HS~hMs*qP6K(J(^9yd|TK=Ny$NN&o
z-Y?GZF+8P6y02X#J{5uX(~s0IYp~}&iaOGN@FM86!8{zjQ(RIVZrD%lPvToPrrlJ9
znYL8VlKlk@vhhp6n+w>TNjxKKjF%Yfe!pd40=`&WIY7n>4cnwyXJ9$nLkg_$p{bu?
zWANk8UCLwV?@(!xl_Kd+W;|nm!IfbnnIygPgjQo6{N1Y~b_%9FKf9|IPJa|cKMEJf
z7Mo?jN5jSDC*h--o-fGwn-5o~%TM@pUK7_@cyy12<{Vti^xU0{mvs-Vm5syIJ`a0!
zVKe`IV<dm)r3h)#-{a@iU`_J3<Sv)vA@PTpHj&@^%%SoY7aZE3<xA29W*^Q|!b+E%
zbN;{$XI>m3^MOxjZ`@7JUz?C27a7lDS-Ravj;ABiw}H$jW?Zgr?0{X)?7mOt8&~|$
z3GRXgXHsU!d}R5ghgQXK#P#EE$b4mWE*{QOc#qi%PZz8s?mT-JmQSww-2%VU{PE&G
zY%Tv+<0Cw`>&l*J_-k<?Gnqf#q4=x+HeCMp_qlhl^0e0pa=m8w<jYpT{>(p_$@MI?
z@+Yz!=1TJjxeiB-m7L0lYv1*&2f;Ppm-2GqG|3C4K5+b|_t&1n`DShIzOaiML+2B?
z<)PK+CAj)yclsmvNJG`*E3oK`y(>xZi_ycJ=V8MG@9vZJhvGcTQLgYQ8_r3x{^{YN
zU}|!|$=(^O2!x*+byPdTO%gh6*Wq&~tmMwXA{L`BU13JenQU9wMEfYsMfmqIA3h71
zDt$WbG~Drb`K}dQ&}se80v=$v&R_;#y|}-g%)fuyP+ofye#riG=P{V^^+6RQSYU_A
zD-Bq0dwSk6_%(eCi#j~UzE?;eUQzLRLDrM_^Li&8g&D7I*hI$rY(<t>Nd2;RASaa<
zwirARq6eotC@*ot(f>+T)!=H1u{Z{J`pk%%7D;ap9H)n`1)u$;1XsjwIx&s@&@B6#
z+tp#Vh@9tt;qcn^NCg;!OM2ho?Q#?p$}m*~ZR$7JIn~Qk242|`L0=31WHQen@!aQi
z&yw-A{NiRVN!a)7Sr>QsIPa0uB>(NNbl$nbL*`|lNqk|Q{jwo!>yr6O6{cdhI7Y^^
zy0<Y)%fqVM$Ns3m4IVBTityK$zjTygTG4hcY1n$JN-i1SilwSJMB;s$4$+eFi;r_V
ztHt3LFD+Eb_|xg_7cykw#3c2fWIQ3kic#VqJX^R{NXDOhbnpKn``3TO!$`g-<RY<f
zn&jssu~n-J=I)%*BJqh^)RV~iX?wAwuSkATZKd+H@V72W@dGf$>QppYf32VtkxqX9
z;X^MiD`4+ybC%?IpN~uwmBWP<M?dd_=Zu_<vtdpCZMtIctpf#FWc_!tvr8p;p4>lq
z$uk9>h^+V63o{qJZg~Vt=kZSP!0ik{56OCR<IXEjcEW;vU*_WA>m7~U>~QA!#J6NU
zx&sAI#}2qTZ<>p&SC8m*HDHFfTrC?7gw;1!QM15QGVB^;z5B7(%)WGRLPBOA`JT}H
zO41(&IPn3K99ciFUo~O75nfd2qB;jFHi`0Xf=gd$S=hm$=X~Q<@jPWTfBfD64q)ef
zO^NjFlia-eu;-MM+&`pO#CnBD!<rdGXVyvl;q`t=c)misYaY%qzH@aK{N2X!Fo~Zs
z=KIVGuZ85jo+7?oc##Qy*WWEop5Fq!N9q}13+7!}<FLvx*LCv!g}RGMw`O39IL?z}
zaPby@s^73(bJh&`p2KN&w<~|(iT;JeUO1Lba-HnoN3qPI9aa($C|!g<u~IXCfy)wp
zs8itgJkq-QjC@ZbqxE$GDG#O{@*Cg6v{mc-RuF&V%1)&;*t7QrBNfu^4w()<hUJCy
z?r(-~bJ*)gz=!U=eM8O%eWP-E7`)!MB2Npye(+G$8#Xy{D~rU--1Cd~gui6J+ez}P
zPU)992mfo=xI@ZcaJW9w4n8L9MYD$e=L(4m9fwbD8S)~>OI^Zy{TLkW$397ZPy5?X
zNA+QS^V&>OzH#pxGWFn|v_+n2ctdn`;YWPmWGz_k57~cO^)zEMoN&g%mh69ft&0}<
zzEH5}gf>0gGm-l+8!q?SQbG3jrGlo*8ZK>4kR$CU9=cTjv+(2_|JNL_43FARJ-Dld
zX_OcKe7)tCKAhY&=Pn5Up=p0B47=p}A0zkk!gEt6QF#2JL!TU+v_qSk8~&Gg_Xw#U
ze4oF5#sk-X2<X&+^B2=}7-5})N4liGJm$M&f(bq)67h-Dr?$sTkIx^+`P%hhiPXOz
z|5Pt8z>zs&L8N}SsR_LI6W+&geTLNU76!kRM`28-@*~fW*bNUmyWnC$^9g5|#(TxD
z2QE}Q?0Fd;V0^rz5sq=+{nHaJzr0e_1i$~Z%`E^{7>hH11!s=;e<#mBTh(9d6);mw
zyHg~5gHnz%4nELCLrI>;#jib|-i0~%)*~Lm^um11e(;*;@dDBw6kk7C><@F@KdSN!
z-slh><N+7hGR@_{>XfhddBNXxXs;E)MGL>@FT&4?-pQ4~cT7w*FTo;gWryow*HsT@
zXIOaJow5<$RFzfi0{dP#AK3<b%+&_j!f6w`wLZhlR~Po#!}No^AHTv3s#_K;VFSvx
z;BW9{*YlcZV7=h_1k#?$AHB+K4i~a{8<X~t$K9;rQ}EHpmwT6B=?D2iCh(_rzF5*e
z9NGMBpDFCq!^5)??advJ2Ilo)ww$`p)Nn|KtfnEHeC+kF?eOPu31(f`H11r=4){uO
zpv7T$Pk?pdKDZ(O(moA%N`l%&1dcxV{)#rtWW9Dx8U8YvqoD$i`lrYrgm0}J>(zue
zFvnO~!_@`CPnBS5MH%+9@C~cyiE8lk!-7Ru;h!@e=M><&yjmAO*y7^H0uq1XSyez3
zacNY541D?ee+swZ3EHx~vaoZLSxr35{O!_=DD0sz<(&wBPJgc|30Js|-FgOJ5%**e
zg5RFFuKgTNPJfiY58kfi-%<phC_j9S58hO>HKYXQox8YaH|)c^W$SC$F6mVj3%sZ%
z67Uvgeb-~l1}Fd6NB;p%JMJUJ01I5pf71;2s^9NqgeMd7^gH1C?+vc2rpRx&q`Vuh
zE&ING9loMdsx=5tXz$kh28%7+<sXGNT8K{e!$yh;IaBa4J>}3A_;|7_*BsnCs5saR
z%e{8KGY<18wdoeYft<HWNW9i!Uuppye>GT)<abkKLh&(dJS34s;@$UC-c5zGj_qX`
zf}4~g&LqGx9+w-2;iS@xSNCB|*jDX>tCl50qha3B{P}P2#c`v-TktS*rVIIfr=7pO
z2!?m6{NCLKkG4?J-5^%~me2z47kzQT8ICfDuKo-w7JjdHglX<vlO^T%=<W(epwYj|
z+5ectYdI=Zn8Bgvn>p&>vAViYLpX8Qd}}>yyoK(^5xCy)hYmSEzp@fvYQvQ@G;43*
ztnlN<bz$cxoS}`dpR&szIry-!**rNvwsd@P3UC*bO8`0kl?VI8gy2)&34h4>nKA8Z
z+XvS^e(6Qdk8ypQGY8x<+dM+bNBjKMtz0mN-LUH)*y+u=Y<l>9((E@<{@Nz=MhtMd
z38UjbcuD?v(abUY9wnNnbvXU&#Hl&hfSP{??RT_yIgSfXz<I7aTIgV<n?de>VgE-*
ze{jObJqHf{g898P61ib@RnMVOSoo`@z#iDIq9u0#Ry}dFcQ4Fy$mYZk*ihQZP6GBe
zF6Qrr8x733rQpvIJ?Fo{O3BfZ8nBR_fMN$cBIxr|6Yg6m?C*rNAKh~^fYsHPp0&Wn
zb$&ue;h2ID<4<r!QDXiHm?Er}rvct`&EN4P{Hx03Z6kbt_`!@de0o=8bPasc&^P-m
z{F!6B>^rzaEOEaxY(R6Eq5__j_x$YwAAa}gNhN$K>h6^*aJ9;YOGR+M!bMR}_*xG`
zRVjQZAV)0}enKN1o(tE+2Q7rbRzHg+^5LgpY1d=m%PAepS+I+She8~jqG_J`4F2!g
z-I^pgIrP%`$FTiId+$fE+~f>P25dVVOqB_9zNYO@g7d$bls|>HkKMfS2riSqq?HE`
z(4=!m!8$6G`GxRjZtj|Bc<0yM%9U`bqd-&$Z1!t-x(Z%aPm~FRmDXwe>fj2qM@?RE
zu<-S<M)(USlba7L6Ow+p9e(kHPQ@Kod-9*i7ns_~bMO+p>~pQC4}Ri#*2f0^*fhvL
z0O$T{*l7nFj?g?Gg(Etil$gQ_+!mY@u&gw#<q6owH!yt;*5A-Ms}0-UuiLr=U(=CJ
z)P?O;CLd4?pnY??==Pim#%noGRI<P~8-B|!z~3(g>vF*}k8U)Nz`y+*3wh!A*+TbU
z@Ez{NgM#qwY*qR$m}~RJXTq??nB&WC*l{vNRtByO7}05f&1&q^<lu|h^y7`N@_2%%
zDtw*KJE$D?e{7VX0W-?p7pj0)S%P=#!{&w=5s%?`c^@4kxc5?-WCpBSp4)m7{t)>*
zHWGgGEO5pW=B_DGh=L>4U-{X?J>7R6T!Hh}9aEg)Pdj7OJmJ`<>B5)c<u0|Q8DqTf
zYV<@z!<%;dn@+<Y-^5Uaz+qV{#oe&4{;}PWu+ry(|9au$`yW1!gLy7q*p&@$R?q+Y
z2xjGFe*X-vOy6)d6W(o}KOGL|q_Ud4fXA739SwuSX=~~-U|(m`Tvzz(^1!cbc(ZV?
zsXM&1B73O-W_LFVG=>dl+V#re2>XV;$6)!-!k=qk%CEfBhhedt`mlHKmYBQu4B**~
zyV#oH<FUhMv`D;fdBaC|j{ejp9k|zk#k3QqickNf0^8eU(RIVB8R4AjFm19q?-*P-
z)HJLB@8ti}{u{2!&J|aN3(_9_T7g57el5wsrZJL_)?gE^4;u1tpV>hEmO=D4RR3d?
zfHxJoI&6jKeT<e#eCb<n8WA{W!L3#V&Nip16ou1yPHZ9Z&TA!~RA48A3q5<`o(-BI
zs_?R~@or)G>DbHzBe-(2^&dX?mbtI73EV-~8nYYD=K9im3f|$-ZOH|f>^pVG0=^-u
zOUVPjwkhDUgEhqTo7vz=X4y~n@XGUIx9#vqP1JuEVJWF1WhPi*3*%Nd;!C^(TVVDB
z=N@>&-PhT3Xy9OhL8GfMd$7L|9eku#xi<)Y5ontC*9g~3@4e+vxGFa9_%s|HJrjHf
zj?O!F{Sz$wGVH&2ICMU3PdiMjIXavI|JtK=vmEBK{7d}=KIIiGTmhe;GP(T%uJW>+
zD}Y@E)3kG8k;s&UA~-^OV{0iq&3?)DIh;Ui99#~Yju+6rgp(f?Y<UZNQ(bR=0w-=*
zefJKoi?8;43I{V;8#cqbN+B94u-ld=8(U!CJ8wr)VXeD#(Vehyb#Pt+%pq%_)eWnM
zE-xj)s=ch{W3czR!gq17_|IcZ<FH82gu^}fI!$T(ES#m4DiZ}C&7VCo51%Ut`G0&O
zYp~~zALx(c5{`~Udf&U(qMWcqL(>1ZFB4>QJ^~kb@BRPwJ>EvU3}KZ|uNdMH@AM++
zbRb+Wn3Ng<Z?R`-2!>aa`?SMIe%~%1i-Iddb(ycj@*3H+x8c|~Hwy#db!o=fczC<)
zNr44JjK8GqO(=r5hMCnb!hU`Cc2~i1++0T0u*vqkZH@5SR*KozFjf5Cls4F9#yK<>
zR`~Urt^>CGs4toicfF90`v$*R@tMzpx1C-;^c@y&mOuC$UJ0JCoPsBwS<+^}c`5lU
zGq824V$KtIi9-0{GEA}gKaWT7_E*1+S7H0tvYaWfMx4!8>LK*k7a9%Shu{3>yF&xZ
z2=5C`fV-6wxtL+AC=>25cz9`ZFe^OzOW<`l{5v{$3pX5dQYJhQ_Lx(6#{*BhQ;FYz
zZKw*4?uA{>Gb~<()oE;~gy1CIo(Fy~%dNg!lJMY%KD#R<T_RjV8t%2vqVt5;MX8$=
z;a?t^?H6F5^DnL|!+r0RxZL3^s*HO_;L#hB!;bL9m-_mK@K=SUP-l2hx9*D>oEr4Y
z#0H+Y;}mWV>n^;Qw}ti6M%d26uRp}Uwt(ZqZ#LM#gU$T3*6>!HYu_%zlE<jp%;1Cs
z?pO~v{d?^dbGTS5f#(_=|2I|D81|5pX$yd#s@VK6fv=h8T7<#MT?)?+!|tOxTO;5f
zLkmU*u;Yz)4`N{!`g%?+I4a-F=q|jZta(-!)(ARg_XPg1m0na8zQaAl@f6;uP}`yg
z8=9O=&xLL7ha@P#@4_Ze=EFv-E8mr1w%g<9-@^MDin3+kENM^v_waZ93rA&P1*-X+
zW>{l**A6lGkEY+57I?|;wv{B@f9<NrcetkZz&;`PxyS~QK@y*OhK<C(x!~8h469YG
z_6fibO*ULxg=G$>F_ZLcUT+zpVVtiU`+7)v?C0g5`{385*6;VhgX331G+~*#o+v)}
zbI-hzHcY8-yo1C~_f8v~fUV}<Cv(H2``xHd!bauSHF-&T;AFHl-1_1~2P53AKCoy5
zXPYtjY=QefTL-zo4N<O|G;o9BXZZ_o`~2>ov~aVwX^jWWQW}`M0nXNY=ivow_RE-3
z!Y@B)QCx=~3g6=ScNEv(g}kCbc#2v1%`)ugD6JL&pBae`pMhnw9?V9<tr5!NbHv;{
z*Y3i`zrz>C;V(;pGWX%nhO!U-z@LXURwct{5BS@Tz?RnM+*4sHuGVLx@R?7}A^9+G
z!Imona8*f@QX#xwvSh~(xK`z8Z3TSPWNM%XUVD@6Qw1;Ds_gp)b2#Qkx4;3i7pA|!
zd?)F(KEVu4EcZHLIqzE^yWyZc2d!FQwoOBUz3{5{cgjz&Nb)(xA^7y^O&{vv&W7?g
z!|)roCl?#x>7IiIe_-10wF)(`<Kw6ee_?}s+pllo8=|Zci}2;_YZ<TLcQIC~|KJ!U
zF1<>4EOw}Yas>0|D<xTqi0_N}Z-he_8;gqJEn5p{8DSfa9{(3`YyM&d6U-;%#-9tX
zKK9pThpEeM6eh!OXVzYF!mZicPNu>G`)(@khV3}H#%{xpPAsJDg@q<FZpFYaKV1`(
zfHOUeJm-&~Jj}0!8^Y7mOrK}r4_QCgb>K^7FU7yY3xPpg25_m()rcPW?2ggfny}(S
zC7wq3VRQ5%i4RO*_Nj-nF3+4l2#;LL{rnOZd!-*n;&)}oNWFk1GIQ1x;k=_JZy&<c
zMtki^{9vQXt|YkTNN}$#e5>uNPZ0cuB5|I?XZe1?hvZRTY0W!J!<#-%s_%p~zSMS*
z{rk7q5AA|?312=#e$UR2J5_1nvak<VO<{)aKLd1d^5oS`maz8YpBqOF&|g!y<+Ba^
zmsaTPPq>xKQtv;QDl%=R1C~9+kb4?lJ%8$67kth8wc<HgvPHD41pd)DNpk^S>+blk
z48Gm{B*p{&s@7GM0w*_E=Uj!ujl52#!JMNU@;Bgo#rDq*@TIQ@d2YiZQb(oF!D)K}
zVnX0!6J!5Q!_P0rYlp!Z=FTTA;fkcL@&I^WRpzJxY{t60i{zK)E2XOscO5x!kL>TC
z%*8H6*yFt3ia#8yMJaax_9_o{Bgf}{FKtZ{jxN3_;01r+R<e+Q{RZD8T!bIw^$7^V
zPX{Xv+~AkbuLkacZ%iz_ae%wtzGdA8d)E#Ky1;W=o!waBi60yfNqL&bGAnL|%PMG$
z>|o_W=Q$d9)cT4dIUkFr>{aXfI6gPaiQ{mdU=!CGthg9+_6U4wv-i*(Ji*|xjhxS#
zW6~P4@JsjXaB{wH`wY^L!#5&ARSv;!3aJibutDpqd{x*m?U>XctTz#7rw;#@);InQ
zR{FkZC<!Nu+$-vUIb=UjlIyAL{2A6S@ZldTp8Mb}irim6z-G!#!Xofljq3XiusEgg
zHgdmli3eD}fkk4c>$qUeS+lBYxIKH93M<UBn=7OQrd1o7WP>wLFAf#KjdJ*BML46i
z^7(UErL~2f+}{z`Q#R+otWTCBso?@ShtH4U2F)T>8hFCONIDIEwb);{hWbS7IOlQ#
zoSztXZUfS-_AC_NgJm!LG@eAdfJ)u9C|Kpty^T}w;>fGMNVwU)%KH~QqaO9-2F$PR
zAUXz9oC)0+1b1mfrw+gh>lT=ShwFXMe$yYYSFDAIH*7_Ds-Xw|b6IBA6*eDTy80C^
z-=&&+9{#|fY2O4t<>U6YgQrFMb~M9#4+wSIz>)47qTaz4el#in!3_8As@1|S5~3C-
zVai+G!bLDo?AAR-aMdq|zG9g2jMjhw{B1U?E&~=DlE~JAdqZV>GU1xc*mtV%FQwbv
zx8RVyVYlRAW@XmMXjsCsS8qRT)o{eaAGTlaU=fA;DVl@=V6!9gEkdwsIwk8xc*Euc
z@w?y?+kD=;!lG9$&hx@|9>gg+z)~KUs<*=n%rp~@@V?_OdA7j;9=pz-fuj?OMi^lG
zzqi=P^SQM9z+*btZBNyjF??4=$Atp^+_@+382npUAY|n*=Gz={WLAWA!xfEY;Zx@t
zYn0%filGe?Fijx$eGU@uniDe&Td8~Kalt0VG*ds|OG05)EO4ZxczG}EJl^NZ22Uza
zd33?K0u=vI!7&{?YOSyVpAjQ99QZK!(MLGY-8ygu?U@9h!gIB7<E8BVYw$`DU+p{i
zbb49V9DJ+8B)S4N$zJ<!0k*vPexe*UEob=j2c|C;4#<Y}Q$l5@VVUA5-=4x%Z{xB@
z;q%t#sY2mTf@YWg!q$HW(!=1r`;V?I!qw^58XREVw$|Epc*$bK$qCLWYc!_C@#Y$-
z)f&T*{8SE%@Mgw`=Z?Wl9P88DV7X%rOByh{)mAf7UQZ@>KG1?2;+Y2d;P8)!=SAR7
z3dY5~@Rtks?~B3r4>JTwz&<&TtoOiwB{s@R!DhdXSMP?8ac#^d?YnVDt57c3mU`ho
zVR*<meIF0pIlM3;4PTwhKC+^R?FW-y9DsHFujKrLMcd<dll&$(d0v@@7h62Okobww
zdxm2$dyF|R`F;NhX73n;uh>eo(!mFof<3>(!*2w&Dc};H2Wnj~UBco#CEWDdH@O3r
z=$Lf=hw`$z8Rzg3-kJZ3hn&w;wX1a>;MtFPF*ESutLNqwFyk4e`FS{`_F-u`+<!;H
znVdh0U8AgNFw0(x01`j6XZX`2xccouC(<6?@qzNeJy_iI57!XPwuR<j92|1;+wETX
zMB%-k&hUE&Iy#a*-}_R>36|iU^CRg=gTr0s@XJijfp4(QDO!b-u)f>I6CJQfhX92U
zthD<!O&2`&#=!b0ocqDcm$cW}0-g8iz)?Z#VxQoef%s4@c!=R=T0Lw!Qf90Szo>UG
zZG?Z9jpr)Dqf&+qZ(#94DNSK`Hb_g9ydSi5o=+2k{VDdPR=|<Xcbs>@Z|*0VRKc6<
z+8cRc*|}?VMX*ZpQtWp4;_W|PC9waIFcVf1Uz~rIyuX+~E#le?pNrsPBkwO0w-@3!
z!kY?{eg?yj-$|WaIfVJIB5Uy>aR0XOH~-)Z9bXyA`<0)g`$#t|mMz;(;&W<xwY%We
zHs(Wqa4h@Lt~&U1SXwrD|MGqPTD}&psJ*(=3;trWyrBv{8eQ4y4I2ksvaWy&bM9)p
z!N(kO_Z7lteA?#SVar9auza}FGt1ctX54e$Bpc2+JizS&Ckg${dkTvPmE0lki)#r|
zS5sh)4PzR1Fw@rZo=0$5WmSm<ELgYt_#WJlIPP#7j+NoEiG}O0$C{A$S3i0?(Fiyy
z{uLE@fBmq&6cGl`yt(D21GgmK=JkfX8(Vtx;Cn;j{+@6gZHl2fEat=9a~jSx95_qj
z{l;D$u!K1~Uv#R#f^QS=YQc_M>&G<U)zio3G+@KQ7%TFA&2`gXl>)ZSWdErPizk{T
zuj}G^Zs`3_m2AI@V|fI=%Wr={3;tlWerg!r5heIT3H}kSCeR1li7v#F{grEo-oS*e
z*9W~yXk}r|dwJWN;N|E;P71Jl{1cA`c>M3CehGNu)tKrV*wU#!S_)Q`8cwc;@wfFG
z_rY@sB90~SWnqmXVfbvINJA04*I;cQKYUX1a?EpBwY8{cH{289J^c(eZF4o`f?2M;
zd-WK8|KIKnJTPlP@6{C8{=>b|&2V|0sCGR3FIqE^5f)83m~jujxwgzi4IixhA%7F5
zJ)`SN3%3ld-M;~M46P2Wqd!G!!sLuETo;sdmjdZ^A(!6xz;wTi>6eh69La0y1nW{<
zcV2;84$RLu!{##0^BWOA?x$U81FvdYWp08Mho)BS;WO%smF%!|w|wnsc%(Gs0tc)Y
z!(eX>AGq;(i4P83k61K>1+V@(wFe%!cPic(z8ESuA_k}YZ4y?8tIU*iN%>0K$2Dre
z3s1t^4#2seYhxARpctAUaz67m-jY#<BTkwzk@LN8L-~pfT+-iKr48R1^GlM2!@2nm
zAB9)lGwj4*6V?0w$o2c4{T#IfyfFPU_$2%$w%&R>?2{~W-xB6k4A`&(-fex8-yW`E
z-Wu>t2jfl0*JsK7c*^ba_pdM$O{SwGd@ZWFxd2v980{hHtL^gQ`EcZVq#;RfF!l9t
zg^fA#T1o#5zsT@5clb9wn+2&qUcAbWQ-I?gRYXbui|j7S{fcl%Y(@#`e+m4XZ^i*z
z9=7#NgbTc8=Q-gb{T9l{a9irDP<r?+@BRPRXZ@QN1R3DmGgN<GAU#SqJa9%E<M|vh
zs|9dc&MUq-*uh~#7^y$6Q&DSwh8f1C4w3$t><FQuFK`CS<Mt+aUwun_I;<ZsJM{&=
zP}V2^gru`N`H|;A@CoLaTX0Q=MdS~7beVA`0;bO&+RzIJotfL_47=s1Ru8~e4*e>0
zft8!e50AkEM-u&PVTL~4f4_+*!ny5XZ}+#sv#?o!{IDe~zVnDIdHz{<@3~<G9~5bL
zy$1gm=)TPmP6_|ClRRH-N=_9T!CSkIKBI?+n*aG8g7d?hPcgvXUw!8~48J|9KSJ7D
zR#sPs)M2%x+Pm9fy-ij@n(%ao7T-=-^HT_$3|#Ih8Nd&(9kVOg57*AT+$;inT%EZp
z3e)KBdL;_Cf8pp8hBY^&NC?22Gi+}!Y2kj>9@ZC!|8faREW>&RPMvbFbbUgxC+y6a
z-bmV;eFEEdc)&FlEUJ32bz$K5^RUf5zCVZIb3RnpF2adh3%yBuR7YyXK?go?;{DKn
zu!^EH%^`TF`+u&su$(@BygV$Ltn=|4yeu9ecL3&G=`$zo<puHmbwcpp)v}UH@Rf;s
zcEa$;0~1YOxLjgbj33^=Q)$`{HhiM}VK-bT^V#nvoOmTFjth1&E)xxf)zinNdEkp*
zO-gUWQ5z(e+2HWF{pVufgFhn@w!@tFK29gXVXX~knBcp=a#E9Em5aMKFvB_4x?<%0
zAz=8wdKx(72>;h7u!M4fJsm8dTzT##Y_B>ZP5~c(8@D|V-h5Q4nG(JxB$-wQf9;C1
zoYutiMd|Z8>5uAq^J94izCGX?@g5FSl8F2P*Va>y*2DE{p2EZM#LLH*Kfy=jd3p=r
zsbtDqr2mQTw2^la{B|mR#}NF<|E&6R_|t9Ux?xzwGPeH(EM`7yLi(S6)2C!Ufn8!A
zQjq>9iqwzVPhq`J_$w4Ry7voX3S5#tqVx~e+eev`3Ui$buOt0W1%Ih7C%}1iq8_CG
ziFRI$<pCT&(@H`5pQPyaq=mzcZS+>muv<0d#xR(Z#jc&ak2cn>HwD0d{`|X62aEh2
z6uSnmZ!w)G@1x7AgL59R*z{03+24We^XlheYL36BTW~yw?+4P^!Cx4>7)g0-U$eP$
z8V=@c`t|}Y`Eb+x1l(Ate=8T}UAp<o6qfz^h~g=%#GDgk0MB3L%*}#*UgixShQ)(j
z1XAH0Te_cXz?X!7w57p9d_!B*VZUwrb;<Q1d&<H=2v!RAH6i_xwuzS;_rejCjkWjS
z(q>o92@UkeEJ{X@?eF`k4E%u^4*lBx3>H<rd7uN<-dey%j<0&`P-iFX?d<Zr6t<9!
zu6_Y~#a>{01Gn!|v&@BCB1KXf;8<6^iDdX9i|5J*SV?v^JQY4-ARGDxepEa*7z(e4
zhQ;*2z8(<);c!T^9xr(x=a4o}afI)s1$K<W%v;7)oZ+vpw9ih%bI&@dZD1#j!_2dA
zjjF?ATbQnmF=+)BTbGtGg$)KbFRsIN&Xujl;j{UzL9{quhoh3>kH9R-jZ*aR(>wt=
zLpUHXx{?JpKeM)~1CM3|JCpv6%StyM9D?)C>MwA^N4-wksKL!U4`%SfJak_-XuxA8
z8>Iwc-uCSJ1MsV?nQuaH|NILo75MklfcXRPz{Sf=`{6*F^XW=(Bjucf9DG+|zoZsC
zL|Y^&4z~yKeA9-@BnzCS;OW9=b0^@EVMm#L@Nbux$0y+=pP#M5@V`&y5@+B6$3xbf
zaK09Ige}b7S-r{yON|X}KM(IwHZd<#NB{Uf9_8zBTwBt7IsAL(PhA+id-43&JFvX&
z4$&A`t?7w(ES&dpq9hT{Xnb|w9Txf_dLb2#C>_~<8E)B0{Vxml);<;SA51Y4PWcjc
z7QHHD2{(({MU}wGYm<|vuxenxQW-2h-)3?QzTvhpHy74UtRB#S^XA9s3t`<K&$QIx
zkTrZU4&Gn1o8bU_SlmbSIlRkl+eLXeWk*s<I{bx=c5N>lU}C?V2@gDAdLRT(ENh35
z{IhbepWOwwCS>f-heIcV*ZD|%S@7#}*gkrumIF@sJ8-@NW(}OP;ew-Y)-1h)sq-vF
zSmAFcxH4;D4|B_UHh724igXL?x$Si{1N`uV@%L6Z^HQZK6G=Ceap{KhD>!GV;g80_
z9KCR2>$W>IaKzzr89!kAUvGCVsNwoI-mu{(e7wE1ViCR+{v%=%KDiw1PzR?p9DT4v
ztYJsp0QWh{2~z&V`AT!-e+oy9clOf4U;nM?KZajC*segfzh9xt`T!Q%BR%{Vo*0=|
zz6aBVIIDNUFLU)aM!^Ar0e`ySCmbIe!{O^uk2~t%LI%N@K=}Rp{GbN-d{EiRYcS8>
zHs@0Kee#Z7p0K>l*BzuhcL<b?T!JT_Eo~szN2w$43uk!n)avtW*eY#rmpv@&B|v`%
z{xx|w`7~^oz*j=9zmekO_W!}3JQb43^_nZzBz6p5{48M*1XmuBx?>DWuO4{q1LrC4
z+@%ihiQ(iV{lf##qk>f7tL^+zSK#e?Y4qh`qs<ITo^S)5?+aPjQ-bv+>F+N5Fn>i1
zUUXUb&lL_&8l@71Gh-P=kHTZx?oGTfh0j=*Ask34bAuJ$EWEyv)ECdizUXg;Z&|eE
zZG+<;tg_I;X*KN$8{vt`jGlE>ybnmF>TH6?&#E0<gKs`eDPKi>MM3$SdL9;FaXd%r
zuRTA*9cN*YGv|8e;gwc-sc|^9S2&bB4^@Qv;>O?@Mxm8S*v<DQeID!;OI@@Kk8G)Z
zk`GG_F{+dOFUh-_UWbc5BpQ(Z*|&m;e*@u$z|5}g@U5Fw*WBUvp~X_1aHhc^*JW78
z|6L_Ntf+S3hcjG$UB^iPmVOm|?K~_wVLC4g=O}O2wS%3)+SA10t1hxX?BOn_L2-Gw
z>uPcKX}B%fvR482ux{6}hUFGq&Z)zBt4Enm!hhclv1-CQ?mK3i!v-<4$@;KZO~0El
zT(#(6K>E{9FfTG5gV~h5yGVb#YJ<a<!?2Rl*bOsy_XmGB12}Z{AG0<5jb%(h3$}}N
zs5}D)Y-4rPg}v^Fe{qM^HeXRtg)iQjyM7s-rw{$C2CMwo#N-EiMh!hsfcvgoC@0rf
zo5q~HBAlWUpc4W!n;NW3!9N^^rbA)6%2N+y;PfZ+{^a`JV3BiH1P*sH6N!bRg=-VV
z;b?zf&2+dx`uILx_))_CBvOB!DzkXM6Fzd_kPxZA#5=jTXy8dhRk0%2)0Crx7Peh9
zEvtloKB;2(dl1J{AXHTYXLII1oq}6z)ebkot@+II1MnN+^0bfe`0{GoAgs&PE>7<M
ztk9!p+Te@1Dj_{EeWvVcJ4yd;#!BiZ%RIApO>kd!Nc9lB;fAtxGn{Lbrau8sa+wRh
zhf4}RF8qO8(v;rT!u~CzK?|^Hy-9c#JlDt~N$M|0Dw(~n;X(`X3JTO$0mWJqC2;KD
zV-8gC2_ecoui&(thyXUYEsTCVA680xA-Ww7fBiG05WfAPv6Pqi<=D|2IO5cp?JnXS
zX*XZO4Z6Giq~QAMShi$XVE*Kn{lqLzxhb$spvM^%SbnDpbtvpHn`Nf~uR6Lr-h{On
z!n+T^-}c%{`opW6VuF?6y+e=UeBphRZcEZI^F+*lm*KmVmorHIE&Xf)Zt!UriCeqj
zO>A3!JHX0Wq6hZC)GWybcJN-A;a%kSg}EjBSi)CxzJAyS2j)zC`wy0UR-(oTbDaE}
zaSS#P&K_ri2elI}7{T%nEI+TJJnOjAWDmjLP8<$cC*}R8_^c*;ub{1W7%pgO*r!B1
zSQ<i}Fa4ZiQ3v3MccPcS!4`)!j!VHFwXT`p;Y#XfWfJi0NgXcoJh)dj&cqIjd3@yU
zgP)!D%H9F1sxD`f{5jM@+?Zj_+@=#Ge_5aPFHA56@1sVN|JO|BhnwJ@I7bhXzl(FK
z#j*<CzZSVt$@O2n`^sG^q+3v&m`j5*dhZCXB3<rO?7INC=7y;?HPZRbKJ2&#&&JyB
zqlCYwI&HWB4?WHLyM*{$7Rj88uw#qvwh35s^6p_W-gQ7P`|A*Ve8lMg_0@BO(ToB3
zXV`Eb8Se_6GCto8FH|Om@xX6aAIWvV)PbUIWPB^LnQ^Td=9%f`W`a318gJLZgBKQm
z|3-aV{7>g(H9Q}la(@Em>z)|Qg(Gj=%u0b-KSyLgh3}o-eVnwvL$;XHB*RlCS(`7y
zp<f@XX2QS4w_2Zv7u+=H(qT#d7+nikelkcs2llpFcyJ2lE-`+R4KwX2-C_c3yuI};
zA1?UEVQU2MP&L=ggGXh1J9S~fp6IJ(@XyBwM0MbKI`i)(aJA`jvI^|jRAy8U_ewrL
zqzD(Z`WDr~X1iP~q+rg4CleoGzo@s&lCWFuITKPI_h)Y25QHCwzO3nkd0Y9#$ou?l
zb|=BF@W7>?DP%n7WJ8D*DgVQR5_4qy!i7QY-5~sIdDdYoY`c76{|wyO<+GIumS^Kj
zn1X*wst1$t94BMxPvrc*NcQh0<2`P?gR+b8+4I^*meIeFJvMQE1Fnbc%hytu;Bn^%
zZEHwhDbd+B1xwbY($gTl!OYKb63$;SxJa(2DrW7z5t#btkxWLINzY4a82;2cznKAk
z;;EML6;?Prt;q)8IOMw210VYp|C9x;99KBs2Dkr>`pyXpp0In<3TtV~Xmh|6uHv$!
z|9-G%w;vz8?q(KN3+D~IAJ_?dQShx+!WU`tID}x9BpqYY-{iS<dQbpvHR(}!1`Ce1
zbBd94!_~+vSZDcpEV;j4de;h&`CfAGwVJlWhElU$q`%YpkHQok96_~}{SEpn-C5t1
zQNWW_eKj@ktvknqNcm*iSY_wI-}-;(&%+(5drlO<d>c;rkn;b});2Ez_BcMRF$&wW
z3s^pYGtV|<{)97B23uobH!6GAemH0$$u|x@cw0b`od4{S?Y2R%#;Ny|pWzEHo3@bo
zdF|cV=h|R%y^tVZ*mUxUWF!1fS6;#&9{8qkmt2p2@2AqPz&}*KS-yr>8<UQD!sn7d
z)>Oe<q9<xDz?1qO5yd24VdcCl++yL9lM09F96U-vw!aYbBa8TaTG~41AI`kp(UAb>
z4?Y&mhWQ_EXH0|X@;CcFg#%7r-;@aN;<-`f2e%nGsgU%rr@vWzVSDxX|KGp24UhhF
zg1JUL50d*gMY-UpBRsUJ@;r$b*jbll2!Fg0olfr8968~&Bk)>D<pmO-UKu&83|}3+
zneh_tlAAc71hZxrTqO6qE`<@FFf12+=}93h^7Z)@Ay~Wbkt?~sX~&o?*<k^X<C*0C
z&e-dcw+(hlyw^eEl^+K%komhC=+zi2VLSRB>wmC&X^?U$d}?aq)pvMkZRaIYzN|so
z%>D2=l_M%7{u9H~1v0<*yZrY{?_t9YtNI^cri}~-Yhb%(E16gD<NUjq$@$CT&kres
zE#f*KllX3x+QDR4iqo`*)ECv2+vUmp>AXDw=_Fp-$(#2U+-^0~L#~H${W|vuI3q=t
zp42yNa=p!NuwniKHBuj6))3@(g%kb0U;G5e-&6EE0ngYUc+w3&Zocu!6n>TYK(QST
z`ly>C4a-LUaP5Vumu}BW!X=)D)L&r9AI5K);CQo}N~Hdhp-5zBgdgu#OC;NyA1ZF{
z#(a7joztyk`*Xk7__|=Wa|a~I@hS_jb*0169}e2}z{UoaqK`@ZG^IKDeM)p3c}L)M
zA%Webyb9^+Eezp7Tei|yFpKJW5iwZcs%BsTEIYy0DGtZJ`d~nwAHExGt9am+MGAKE
z{HU6scG?NQY%%bC0?SC{^lgVz&2H#Cf{pj;h3$ZkCw+dF1Unu1v$6%=ovWi33HP&e
znzF*b52j><!>i_%b@Xr=_4SXA@QaxKD_dc@`@dxz;5(<Ujgs{(btN?xy0D<%fA>j#
zU-S>wXv4E@3-mOwx9HOovLt<f(;1TA+kSy5IXLX1<R2E;->QRSJFLt3^Z^H)BduM?
z4x0%u3-QC>MLvF=SH^tWCEYJVZ~?D`=OX;{Q~nvU-evesbaE&Bx+R-Q0p?2|JkSk~
zdhB?h2G7Z==6k?S>z*m5@W((q11~tG^pB_|>{_pJ*$n1q8|bouTV?)ZGKT{moU$Y9
zRg8A-aZ!U;-|e+`gL8sqHfg|gCTY{&@YB)t1S$A}oy#FV_^u%Bei`_c#OUW>STU-$
zjvwB+EnS$bUwQnv{)_<pgqy$Q4m`);J;w@9w>LA~h2Je*j@|~B?l_Y05LRB)F=vDY
zuJC9j!(s_)GfePX@rSKs{Yvq^uA6I0$bVFN?=yHJwQ1J|q|f&k<QKpzGIz!nklv%>
zZCM1XSqI)&g70Mg8?A)HZfG2xf@xDK;;P{<wo<>Q;pBjWeD&~OwT!ES@Q({69!>DE
z#ar8k;G9TBs?RWAu6lnjeC5W}bFzNLi%ZD658lRpMe!Sa*{(z53v8PyG~5rD-6;Rs
z0gt`Nar*^-x3+om5iaYr;2wkN_iL-Q!W^apPp9GIX}{>|Ve4&C$7W%xef5tU;M7g5
z-&bIZ1WNfb*fji%>;~MQatpn!<#1K$&o{Jir6a9vHk`sJ$j$&8J?dS32FrWDc+3Xd
zvi`gM0G3Yvw#W`Y;;j>Y2#@QY3*H5*-|MW5geMP%_Uwiky&joG!Oa3J=R`^Rbjp|?
z{APT2g#;XyedfkBxMIu8LkjR+hL7LvVTR|Thg9G%zjx@`!6&7XU+sr|jxM@r!9tp+
z?UZ088Pj$RSmIc77pb2{6gBLnVP?@7F|vN9@WHor8Q3L9p!^_g=4jX;0t+Nuw^f6~
z{YKA<!A4PRQ-@%OoT@o)Si#|~wgFsl&m@``wof!`BlY3$h2oRj;kb}2Us7L&-90qT
z4#$cgq_cv*gl4|l0*@C&7Ffeo-Ezmb!qqK&YK}0c)oornSZBgz%n3eZ!&6F6;{7N+
zFTws4?+*V{#Qg8FTTLEtSnuJXW%%1ofs@x@>)HFyXW-0qTgvNj(sgd#Ihf<;a#R>x
zt&`n71o!c~{fLB%vxF{<z-no9u6N;5x2Mz{Fx!iZ@8aPT*}IZE;fqdm#;LIKl^Cfy
z_<)XeMmp>gw6UokzNxw_^&I}M|Nh=wc+$&SG9UIIUa!uBRXtZL$a)(Fs^p>Du=#|6
z-5Z$yl8$~fT<|fcs}w$UDz48T?(ZrSt$;Uf*VgibTRYfO$oic+kGKvO*zPvVY%#pz
zcT~k0p3A;)j;sf=De&B61K(V*-I@!B3dx^812@iB-yrLUgrA+2Gl%!<=ZR;*3Q>X&
z&0uMX&1oqx$LZtthOkG(f_@rI_i|_R5m?yNs5$|b{9t%b8#XGHcYFZT_x!cdfTyZQ
z48vhsenBxs_@7Pv5_!H-igx^ygYQLM{_X>RdBpNg9KP*t6z&T%1>`R7gSU+x89EEg
zFVDZ>Bi7j+WeXefypQIEWtbZ-AA_~uZZ+Qy%jd-N9*3vCPwZud?Gu!!G1E=0Fi-6-
zJ?wjh`lUA9)F@m<1J?&<+$Hyid2LY0`T>+zs-r5o{;$$r`?Ct`+m+^v!FI+yC3Eog
zFi#6||COut1y92dZn9|d!fu5J4aeZcv8M5zaQqpa;$Luuzz%D2zvuI3U;7S=-}ykt
z0r&lUf20qVzIygA4P4tU!TtsA5!{+c2Uq^q^lyjpkr+m@es1fYT-_%4N94v5O4ug5
z;Y9;X!+%8hAL^&QQVL#g;E8Wj?aOe}ZnOSsc=_Z3-5L0pvb_6Cn6lt<;yj$`ZPoo8
z-g~&5@egcn@LIqHcAH)@C);;!q>FTd*A^6-N&R^0L^tm#n8lrE7unw5T;%3S_-EXy
zSh5~)dhhCvL$G?a=*VBV`0~jB9r)b(Idf9~s#l4y%E4QE1ap4F4^Q0o*$>~6KeO`(
z?7(fuC;&&-Fu9MwC)V38^TTc`I>UYNP4z4q7Wk9bfIL~BxO!pNMP`_9EBiCj9x4}G
zq}TwDtR%1Y!bKTgj%y0&&(CjnCF>uhH;+iq!=H9+<s{D!iNDT?v+$b&&08Pf2akJg
z#$geDU%8L)-8uWFF<39{dDeS)X1*(K5T@i9Fd^$Lhl(6mzQcz8TWiUBOnK^W@4MjR
ztEv}Y!|YO*#X8|G-HU@Iu>Hre`H!%4OMFBb{HfaD!&}(y@RvODJTGE<Mfm~NRLG<C
zg_$ZWof_f8qkUH|!GT&cGBt3g48@)+WP9<yPL(kIYM}pr@b~KI{YCKi*U5sG@Xn}d
zs(g5ieTI>&zjZwv-<$<!aMPEN_TZOcL)oWrTadJ{Hq8HbVJ#V^zoXTz19L4F+CPGQ
z`<!(S!sm>vB=5meGhUOb@Wea5_&E5tK=N66SjG9{nMjydGjsC+_;!VrR2aO<Gc_d$
zi$<|52f)&PGl~1)ai@W^*WlB8*_rs@yW#glJz>r$wi41Ft8I6Ry8_2?%L{YD0qXpx
z&%=X}675_t&%*M1XZYm?V;xrbcYaZ{4IJsMHOU4~e2!Z<1LwEdo@Ia|{q(eV!J)}E
zS)~1E?xx?z2QOaNlOy{(wP)c82fRz4y?-~{$F#(>1J+BGG$H$=sF<rCkw<&1;)xDf
zFFo@>G~ow)XnTt&*`N4&*V$h9<N?1g+sO85{~EhtNB-M~7~%hzbEZmRy*#ep<akvV
ze8S4%nBmP{+^|q$4R<!2z@^x*6XrM`QTU8(A0cvrv`2+IqSFK6OE0=pB;oQ8I?6ZT
z%$Fa<NO^x0c5Jx>Yn^@XuMA60mdU%rfo&hBWZ?J=0}3ayJ-23}EG*uU=I8+b=dRC4
z+W(q5cgMwH-nVO+q<#DFL?M?nd@F15jULQZE;qanrc^X=(ubdxzw;G=dpz|Pj={5e
z>N>mO3&{z|$Kf!W<~{+~)%d>XX*l_hRwg&h&OG$l3YIhec#s!XlN&ta0B><squmZK
zMu^Zm!Kp!Y$?UMfUg7)hu(I5K$1N~3tE=i|c<_j7JPS<Qcix<|e<O<1&d?JJ<xzyd
z%N9CjB%P`&t0oWrduaX^CvnzU&RlqCCU_4yp5yLTnWgZQxPk>a-eG;#^<vm*+$KU0
z-eN}2Q4brLa@R<}lWwK1wXhiNi78S(A!#|`o$zE5n~)M*yk<K11%ByHIjIWo4>}k&
z343cPl*+>&eB-62;JS$GKNVrQi(&etKHtXrBA4X1rSAI-6<pLk*DnjtEq`L%277Gh
z$P$AY^7j^Rhc~&uQX|K6@cvFs^1NZw=%ypbt3TxWo3tk%k8&OmhUK(us7d=S-A<#4
z19os)IW7x7YVSMC1zYCK50dtx_f6hs-E!zpn<^8~hYM)aSi9gKSIX{d!0%6IXVk$;
zU)Fw-=Vz6OJX0+!?X_}>Y=4bPJ*5b)4v~09+K19yowS9ptDXoiX`jY=k5mQ18e0D`
zk^BtB4xG3FpB1xxa2Pf@xGT>Y9+}pTHH5iF91fj_&wn%8brSYFCHL4A4%FVVgRH+6
zo4>4h0zNInonZ${S8IOIhS}KqW*y*uQC}NfSW4yhb@KimYH2B|3QvjD?j!BRhk{L~
zG~fi*ADTB{Gsefe6=53dSHFYdvS!`UgD}P8k(gwdC!8f;4i;dmR3z;^)4VcICHQpB
z&jHeYQ_}KOlYwPUR)mrE*@=lkAx-$_Nfibb^oJZ&_nIR4QwDD<WQ8fY%bt<ryY|?b
z`y^a6E_Rt5Uw5bWJ9Bti+4d9pJz}aZi)6j8<;MC171+#5JB9QI9e7K#K=Q9Ca{QbO
zb6h`FO^&DJjk<3toc3>df*ik0__2HWu(6AFF**L1GeQRoVcC?pBMNXEzjRXt?2+EJ
zO%l%L-*~AC<_q2PTngr`W!z8)8~!?aj~4c89@io3bLBULi_ybb6#v@E`dqEaia82+
zn{(k+vOaf=K~jJkR(EW<OV;N`y)++Rk;QnWWQYn`pQ~APCuj|({TJ6r*5{rZE7G5b
zInDIk$@<)v$-f5|;4^p4*4N;p=jfkJ!nvWenH$ibw&#P2#uR)=iG4pEthm>VeiZI}
z_pX;7zN;9TItEw#Zg*gXxdoFP2jPIt{><B8OO@sO!!ZA3lJH(wt&iHe50-M#Y7>OH
z`ehcr!4pEJR+8|Utp}<*NV@XkCTaLOWz0l39IU^CPZQqs>sHYxn7X2@UJKUfEH!9{
zQ<xf$ll8+F6w<%ez!bkJGK}Ew3-y=Y5qq;ro5PvbPpAsvcRQ7@Tfj<x-z65oe4|I1
z>|l<!-qT6&k%m7TonSxBsIW&c!(FNvcQ`(?Sm8Wu`lZ94^k>%i6t!G{FD_1QCjFh7
zPUcpp;Stt1r$S*NMw59fSkt}tCs~h7*~(L824D6&7)|<9fAg^&H-~o_nRAo=R(j7K
zZev(`s`PCVJmvYZzywxM_-vE`ZwzACtO)BL{;HD=GhCieRf0WYm)i5;rPddYGVsYY
zy{m=r>FWA6Dfqx2kw4F1cfYOIH^9fM^Sa6U=T14Tv9<kZzvf37Jcl>4mini|yMNUC
zRKufHr?x$TmwaYv>fzw*g!H?xK=$JCCRlHeoYH-m%5Tq)cG!#KT;okx_6ny|C%oBa
z)jAaB3_4WR4{PNeV={wJd(~x*!rg~Ir=NuFzb@^chGQ+vU5sG4D;>RLeY8V*C#4DO
zc!bVz1&%!Z<&HW$?Nw4t=JWPmJ|d(Evq%2cB=ddMd1@yW;di{1V{~xEfYME6c*m0|
zPZrpP`{j}S@ZpcuylgOIH2;t++}1Grj2ou1xcy8Fz8+F-!VA~<QfNrPvJ12Qd*P*C
zM>;{+`f$ZfA^0who}4h8RxOxH=I07?JYD63*Dj3flKHuBDuRXgz>$I{&l<pK0lib)
zFs}?J9hr|SkW|9E3tkt$x!Vd>W7#;u4wv53ZnTDzGrqBK!Bb!IhRA%{{${=&7Wh-b
zg@{YAU*s)UHrR4w#tvV&Ri{aw0Zz6&UF`>deV%N)1%6uJ)Ex!ObAA?~fvNlh18&3r
z<LJKQx%&P%fXgZ?BxI9}vSlS@WtGS#TdA*<mB?OERwy$SA+pnuky(Uf%N9yzWRz6$
zd)?ok&&N5Rd(S=R+;i{ep7*);exp+3E;ux>k}eJYQ|}x}0?W2uenG_7s<QU*kizrF
za#V@<+C2sQB`b&VyrzBob}r1;5r#Wv^jCic&Qh4s>0Qqh{J!Ug(=+((Sw5#Pux(B4
z&nj4BO-XVTmUXm!K+Jzs-brj8gGt|}9cqHbYYJlfVXhtW-NgLKS!$94129jYyG<ut
z-^{Sk0SD&NP;|o&8_tE`8DIUYZ<=?8;P3RV+AXk!$(RBWZ~JA5@!EU1*2mar5uR9L
zQhEbxADi9$29KV2`Cl`9__6KYZP?{!u|zGL_4a!e3Fe=EF>f{1!O3q#wW(lhi|;Y7
zV1?^dOGG@apWre6O4w=Prymns^5@X}Q&>heWIwT<$K2~$@H6-UXKg7Le69S%?kt!j
z|J`3+So7bloNU<mJw?<(_^9Sd>AUb}Zju2aewNqrR!btx?XP@Z7Uul7hsz(XA4)S*
zguS9BB7EUH!sczn{N3H2|3>U#5znX^BA%Aywz`HLT*Rp<DGvX<#7S!ov(sjOlz?w1
z{=H@jr=?r#5c7LVZwHk0;DI|YmxbX?%bHwW*pSNAfhe!T_`NG9V5eP;yY|D!zJw2`
z!CxGG{fPO#nDG8eHn=<WV->Mp$&+h9p92=*+^<cnH`+X1$if7_U9nsu;)QqIEhyRx
z>&)f($-pX6nu_FbO$<YeJUo`J+(iMe)modVz)21}Q?{fLzaJCxM-@KK_fK>iK6rTe
z77-6TbRwi`2_}Ch+J73>)w*-w8=P`?OiKecax_`^0!OuPe<S8cC;OdEKEua@OYM%s
zzK4EH^}t8Eri+N}xBdEfy$`;bFRw^!pEGe`<{sR!$NQ}bOf!GLFb!60=aDD&_pQ3%
zup3P2_}-I94<g-s-~w+ixX$Rp9+#YhG~m#-k^@9~<)e-{by$H%KZQs?!ZLJB1a3>t
zy=4Fo`RhD62=i;6_@fQ~aQfxK2Y+26eMFSU|G3K#51bjE!K4QB1o33D!WMECmFn<~
zhI`a3u=|U3k)!Z)6TNOanD0t{w-RiiZjeh2cTJC#6YWt;Lvw``mYRsM5`!g|In=hL
zFn)&Bs&c|33nRNWVDY+(Gem!$NVs(M2fU!SZNUuhpAuF422<Y6-e!S6{ix4bfTgJw
zJ&5_<s<d$D&#<-W5Gw=x;9!-?1gzCSwnfCRSMLblIS3!ue~?9-e|-T09v@)}bt&dw
zNKeXNRp@|s4>eV7!YA*hX1Bw7FU-Y=`QNfV|6O_udl=64tiu1CnED%GF=k&4BEFvC
z*mQao>{3m>K*ZNC?ntJrgr7JjSrhU4CBm0JJcY^ka*z@8!+R`w6-wcT#|76$;hX(G
z|K-BURw5kZ@Re)NoF2o0{gtuAdVs|n4jYLu4`1=%ApF%s$l)$rRej_XF<*RyVQ4uN
zwtT^!+zYGe=A8|JE!-aOBGwn^J;584;GLtpOWNUj1CtnUI5{Yl_bvQzhqRF^?6&r|
zi5M@h?xU%_0;dIrD-iR`?04UtvW9nSsD#zSUpMm0E#apt%|D3sUR8~e0Y<Rl39j@?
zcqq|*)&RaUm_=6x-_wxsQiUH{shYolGaUscmElW!n%ao@>6x547YR5=-GG@G@7wo$
z84`oZIeKpr*Mqu={EJ+$_oi+SF@NoUzqp43c3W*f@d!S#>1js;a|O!8<-k3pq3@~S
z=G139?!$>oCoMK55x>^GQ#S)%)UbcM0q@>@qc$1ttQRqyfi>5gcM;d8dB;;V)3Cjv
zs$T+3zI^|}3wX66(;^*qJKx{^4F1Z?(tZcNpJDJV0p@J@XG>h~I1Z$n$HTkp+<J)X
zVFu@JPgmGUl<7hWEdTVsPgmfZ^&x}A_4ECy--k`$WjVTc#Cnu>bPgFtu#Aw;k!T{_
zXP=ll+`qCnjL7d28JVgIOOXft2#3c{U$8v_GY@IpBi7IT*EZTF4?Fjk&=Tuk96whl
zNWgVZ-O7mdaUJdQTVn9uyMz4KVOvGEw*v6+^`sUbI5Ym9!~yuQ`d>wNxbK!-4HLZi
z?cxpMeJJ-u7lik~H-_7PI>R$BpOx=`hol8nTw(D%&HW_sBh|=f7vQzOD_%1axZVd{
z$t3b$;k-LF4a+Tj*mDlHe|pxfAJ#eg+mgud(pg460Ebwn&$+;@U$}Y8;pLjQe%Ih<
zwEw+$1(Rg|M->RW{TQ6T2HUFs`v3YK@xBsMPq<86FC!G`o2A|EMzEJsiDV?a<6*^^
z0ld3`B%7!Y_M6(ys_-;p@<JG#*QhX{3=39%wf2KUHAx@J!^#GSNQwI&|NYC?WZ+ZW
ztzU`baT={v5{2zHDWk8z-A^j_9)uTGvs|s<&eXUOUYLS$gvkarle(+L1MmGH6k!6#
zdO7cAh5Odd9x{WY{5*Y`Va3$k`+D#ev%V@FocXR#<qUlJrgbq5e8HIKIk8^vHqF<V
zRB_C&J)0^dw!dX8x|t0B;@Qt_3P0}B-|GdZ4c8SD<<U5p7wie^PyFFAhM!z*NH>B<
zE*h1dg#$+p?lOcYC}Q{w;bV4x=7ixoX)|LY-Sloyz#%x#b^nwD9HQfpN(C#dPq{h4
zx55TRXyEAer~iolvxn@i=DZl%+f6E#=x?p+e})#|>BFQPA#i@6*2NKcqU(^u4Orw>
z{_j!v$cMknG4OxuJj}0Q(I)Od;`}&5?)jt!esg1uhB&{Av_rD5!rb27Z3Qs@ujg{t
zVA{SS^XG82W6+H~u)(<x+r<4}A$>UOUid~)SuAn?XHg(6wI+&qBa0*KA7LenLvPpN
zYDeBD#CRO}=#6AGtp3!Uix}@kxMm(y!p$n-am0EnmvQy;Ww7L#AZcQ}Kiqt|yA<wi
zO~@IB&yT-P$%7fDBD6-~DuzQIImGWx@<ram_V#fK_u<a6)DB{Ne%yBDTN12O`Z1X}
zp64u+&tqYMrrIM#aPwtez8HArS$knN{H>IRLk)I+E#*kuAKP8dFII=$st>JI!E|Tn
zJdeUEqq9k`VF&&jwW_dmRr?3x_(+>2e(Au;;WQ#+u&R_l*J=32_NL|%TuLi$W&*3y
zAI@2X7tY`EH-}>@xa+rIVIP%pJGg?z@c-+pe@NQ8IKpQA;_ry-cd0GklPj=Ap5*~z
zJy=G`T9+TpHZa6z59`G5PPqyzuRee400+D|uYVmTQwn$ShuN-qFuTG3u39q^?<<fz
zyyGa5f1m1cu{ij8GQ|#Oc(jYDD;}1vz9Z-YlTNNLJc60JVi$?>gtxrAoef{<G7P#1
z?@F)WEP|V_YiroT$C+={6~irjG=s$PkXibiE{E@0|9L<h@A5^B@2_Bm(rU@G@D{Ip
zU_I;}nETTJPO0DKZG_9NpN}+xR~J`G+F+9r9sN_V0?#Xhc33!&VoDbttj+(_2TOZS
z=beC?!kj}t!t#^7t0!U3Y1t|wUfby^nHaG>c3OAV4S1N{aM}$1A)?;EfOx`+mS`TL
zyqCMZx#{7Q&h1A;|H<Eo*&yOq?FzhDbKw&Gmu2EGe`R0+(H}1<q$<n9F)U?g>tV{3
zXQo6vD!F;{w+1*^;qDhjcv|n+xgJ<M<n}`%f8>Pa&t5op@v^82e7U8Sk{jn!+3#RC
zVt+FuwD)*mMgjAGMEt8teYcDSY=7wKO=AD5@lq{k;l2kU%*6KgR|S3xgS)r7z7Xk|
zA#1_maMg*29z^=-w)E;)Sk_*#Qx;C&X4a2`f5uZ<ABVLw>LXL&z?Tmym0(KuhNt)7
zrNqPir(y1s9t&A8)8DsJx^Saw&&^Vp;TBb9JgnB8+4u^UO^E+{8(!JdHCF}KZ*cC*
zg#Q%h9C!npsXz352s3`3Jk<=Z3<$-S!g;S=M|8lOj@gUFu>Qo(l5RLv_|UF8`0CQ^
z><~=0nQ^`b?x$8`7=s_r@dtOnHw_P-nueYJ-W_d+`}U5Ge}$7?7+>m#y`ML+EyE(6
zb<Mr7eWtwXDy&p@eCi9Fa9zm%H_XAAbNn-WH2W+4UwF&Np?v`^zSbH}i}CouJa_mk
zY`c=cwj0jY7}>J|U$aqFk%xnw9Vdu%hF<PI1$ZTu%Y{hqTBoB|h4E3rwq<x~;Cq%D
z+$O+c{tLE0Gc|S+*2pn@@e^*G%}CRSDGRS!Gt46Xq9w~l3$_S2vSSbI@8cCg<o9mP
z;pB%u?sPjvY)@zXV*LSFfnV*a1{{5(cSIIevXfRg1`qE{43dYtrb+EoV7bxld)lx|
z_uK)ZygMptj-P}NG*svwg`>Lgm3LUvGMVu(Tu(l|Wd-kfdG3fD>}hYn<^n(7lK&?L
zb1qTUxWXxHTz4d3w~O^BufrGC7EFcUFA>+4eBl2oI_8P%A&aM|e<*x~Kedz>HWnP`
zxdD48Tvy)@+uckmj)6;Km3Fbi4(;j&x8bTB_WK;L&Z9r$$uN)fkR21u;FBAg3Ja{h
zSl<ixG}tgaf}b<ER1)oHCQA7t3oi1}I!(0S`fROgA#8i_4<jXf_^ZQo5v*~v=kZRs
zgoX3!OL(7u@TG0^hrHa^EU)0tawh*skpAnWS56(=v+G~uFQn&OVbX4Z{VsQz68)(!
z{6l{$oR`ZyF$X`Y`OEnMX6u@~N?gB{=_?BQVIze=h0n0%fs=Xza00b<`xm%>j$-r^
zeA3<1qz`tY<l+AeOHe7y^}~7;qfZxLV_#E`CRk~5dSeNGKfpx!4!+5j6TSi48Xbr$
zhZ|o!Z2wK<_Zrz>0XqxYoF$vX^N_z|g?Vs)u+Ae&xctj)<$QQtgj#|g{<um-{s`tX
z^zC7Q--cDB5aR)*`%ybKSWzyE_YQoglp&83zT~p5l>}ehozy4>drR2T6624^;%`R@
z_&`_b;dt07E+|9=?mEu+>n1GNG<84?{-$Ne6AkwiT~slG1<zM}4uvBWTRt1Zq-HkW
zH(<xjD0gd^mAvezKOD|ByVn*z+q~%z1lx+aNV>seyy`;Uu+!s~UU%63RFs}CT)U;W
z915!%we9hMpMA)^a|5n0y_`$j56z#r#2X8rUCzDa46EkVzPSzO^~@x=z(XRMpEBT^
z``An`z`MStgg%15o-+?{g2hUC9zKJYO@meK;lm9ssxM$;>e~O#!=F2TS~bB}3r0n)
z;Ccmhl6SC(K;?`b+;Su?e*!MN-BxH0FV+v~PQiEAPW`rlcRI|5k<Vj1SJSOEh1cFo
z2~onwK1uml!jE73b@9Mj8wZXV!9D74uJXY=y|ll~;7_@<Tt{Kj7pv9!@X1q#^-6F^
zM54X{oPV2HPXn&m@MO|~&or5>Xu>KUd-G1hS^gYB`f$Qri?||8F_PG12+IgNG#-WD
zytgp2gf+$GA`ZjX*W!O#!9#mLu*t%Q%uR1N!fh}AdvpMfPpxeG54N(~lo5nW<buuJ
z;nUPNUo*o6GJOv{iTu|Y&#=OxwD&~=;OC{(wm)$_&3L)DG7P3+zqz^rUorTk83UV9
znC}>X{fAk5@4%;>n-d2KD^A;`!__@poGtL>{<++Tu+rb~(pI?Er9vhTzWuK(Bop4F
z6L_u^KB&BlISc;id}iepOvRHmm`3FPp^#V!v+n%qoDN@(q1oREH&}A5MZq!g-4~l+
z+MUi3#Qmp_-Qyo0;GK>)==@<vKC7eMuut#%%m6s?kW}js%=O^x!g;ukEw^kOc9>5I
zya4<11t`zJE2GS6Ht@g!t*KeqtNTnpaX;pl$?diRUp=K_r4Os7<h@*nr%10YpMe>5
zgVncSy{NCxv|(>$<*)x>ieB9z;(p6Zd1VK~0?rT0m-mVL;l;?}97Z@K<*S4S%+?<v
z%?^*9)mc-5wab+IIp8CAuSXn*&D_||9e~Te_Up*O%Htgrg77UNdotpFdLq=SR2e?3
zR@N*Hv(YgasuI7iIUXzzZy$K@=PdkB|MzQUxc}sgxdj~UDS3vt|F%l1`)UtsY`HNV
zfqP}VBG18jq>LYq!3%!d(gCo7;fZ)zxLp24e;~}cQc|t}U!`zdiGzPE4EjjIGW%E)
z6X1zu)y%^%l}Jlz7QB??a83lSO7u3&fm3fJ{S<{SIGvd&f<3C9Rvv(#pZ^<L0`s~v
zO$fo!IVBJ4U`9iMY#zAwr<rO4yqn!bjt^e8m+EYVtE22U_rWhU2HfAnv75JJ*x}&=
zW!t^*+Gdje9$4(2QC2^kMBgyQ1Z#d1lN^UjG8!M#zz5dbdp^NzRtpMrME>eLyIHvB
zX3NemB6yxxdNcMrY_I;@a|-UD%io@X)k9NiTH%Q)v6)4<);sP{3w$zD*WwFoOmXvD
z9o$ae^k*6-7l{sTfbX&9MJ~aX+5zg7aO6HtQDXaHI|H7+f_+XMc}Q%(!s)zR9_%c{
z{COT;54e*37)}k8G?{`&8XYb?fHN&pHa^2TTJF8+u-3gYrxEzY^nb~BVI6-a+A;XD
zzv;mwxR2y_8d0A70`0{ZSkBX2iP+!AnZrT1;q1%GZOd?-bUuSM>=v{?brY_65SVQP
zr!~<Dk}eYehiopG!WYcXw2;BqPe^T=!7h80Olje2vM+&JaEV~~J$hL4<5NZ*xRNbf
zcpqHw&?H3xE}f;j!U3O`<~*bbSMUA%n;)*Xn_ZNGz1Kt@2*6qQih>Tqc6ZrD#Nnc7
z1qy!HO4-#_3QmvsnQ{PD-e<dY1a1oU<k}0r3d~VG2A3#_K4peu<C8iy;2E-M4?6f)
z)iZZ3c);-<1wCA>lC!N3$KTqH`gaKbkHdP^jbQV_5-t*?Usr4HwuJjAEhjdRE?_x$
z)f$fL+<A2qE{=V_;{se&RU*3rUzH!uz6jeNv}jp{`^G*<xxunIzoX{ir~8I_-QhPC
zSzL?oH|Y=dzVNX($0t6+{r~#N{Nen7FCNqIQcP>Y4Y-ljPj(ERo%?V&0={_e&DjY!
z_5LgU6u2wz4A&rBq+hv`3X>dJD;<KhJxhWf!GCG}Ji1})iXy&jcuk#yq8A=KlT}&>
z&j)cwHNxMU@2-`=n%)(hZ(+04sE}8%%BRDhs$u=M0RBo?-~YXP4Sa|GT3G|EIPvml
z5o}?9=Eqw&`j}Q^34H65cGw5lynuiALwI$5@4GJe<GYf~445=)x5*GJ+rn}#1&-%l
z{y7Y5MQ8j-h5dErZhVIMI7lnv;cuqRg41wq*sYUy;L0EMFTTOMv!`jJ;GK#0OqXG)
zGN+7a_-Ss^mkqcyjP-yYJlu6m_z(QXAgSCRw&zqVC;Nu+i~Q?#PgwTJE^`X_>UDb>
zFF5rg#aB9bS9Q^cEAY`9T{r3Bja~seS2*C+2j+e7@{`qEQ&^0D-ycqx<i7n8b6CTe
zHBtaRKlAX9K1_G0_mB|W6hw2|0N(28sgQup3w-vd!rd2@|4PG#q!T%6aH@t%)KNHa
zlHsBvoW5&C<QV*X+;j6NeB|tEr3TDw=nz2-yQsVg(}zu7F|Y4}1q^C_Xu|jM-`0LQ
zi27T;%0;9*zS}x83BP<5P-q4V#%QOsz>eliaaOQgnD@apxQgpHmm}ffwBkzml*6dq
zf3Q}3qjEKT+HP*i4Sv`)9-amB#q#uCgO%GG)-vHl6$Xtf@b2-EBe&o(E$)LJFb7L}
zUIhHuk~ZB5o{b$7@q&MK<&Ry4-8cu*JYj9>Wc~B7*4&nWI-K)`oYe)UyTFjB3Y$nS
z-XhAEV#92D1kN91J9H85KPC279!}j&a^D92m?0A(0e992AG3q4Or9S<2*;XNlOKn3
z%UekJ;IR79$I5VXfoml@tfO%83KzUqc5-7s%=cNlodd3Tn9<7vn>NxtrG|U--5G`9
z6OD_zso>ud_ksjr@_^1@68Mwbg&J|#lCJR6KlH!sA2A|gaNE(_20vlbW+NwAIL7M2
z({(r^`+<fuT%#|RNc4YwZp$!5_+b<2+9VvQ!cjn^|M2h-CC<<C+<hx-@S&w4`qwbW
zd41b`aB*j4$a6UB(yz}u;nicaZ_42p0Sbnc@IH-ZS>k*@mV483S{U&h_rF!XfX@yO
zwtj}6DYu9e!4b8c4DaDUy;r--;J;$xL9MX7QC#p7xNy9OtP(!ybET0OPpYyNJzl{B
z+3GUHc;ha>K@vgaPxRa*wl}ero^TT;rO3Yd687J3I4=r!)aSasBYvNg?<Wp(8IEmr
z!tASxjm+@Mm-0`2aH#GrBUU)iWBJM$99BFuKnZUYv6fE2(@nfiyWmU@gJW}Wo~pVC
z36Y;-Vr(9s-@5sF2i$p_{qh<tPj;B5MF{IJXW}}E_MuLo@@<CO_0Omh?Q@_#P1hf;
zu!;Rbj`qAGlsOgv_l@;>5aWa7uiQLin1h=!ks0=~Nmnq1hxsh`bHmO0A%Vx>T*En1
zewZZInO+&THIz*df%|{Rn+U?^HZt5L;W4UxUxi?*wQt)B@UDYjomk=ISUwdcc*pO$
z-}~UHdbf@fFhhUlYX&%lEZl`S-{p0#pWXwXD(L&G2kRt@b?<=v*;kbeVdZ!K?8)H4
zUuy5q!fkxH)2o75@4;h0L!2+Z^zL5ku!wAS+6DOBSYP!B{8=*H#~D8JC`oq=E>v6I
z=?U*7=k98U2c17^dBXuW2JJdvg_j~9gJAuT<o(SseI1)u2waw<_xv3^;O9yn1?Nlc
zyjBOxGoQ_ghSxS;Q#8Pi8c(GY;pQiNkx$`R2VajA*h!?D?HPQkt(znhR?!a_$%l98
zm1RDHUwIz7TnHaNNF`A~q#JoH--G|M*SHkJ%Q9TS_u(=zmaUiYFJ4Qs7?`xbN~scl
zU;F27EUe7K{JsG`5}arf4sXv)UU~!9)JuPjfHNK|ZN7({hRvM3V0pgx3Z3xs$K_3L
z*nvgp-2mLI9)H{xei(0?I||=q=I*qE&xO>;OvA?(9>tr(tY@$GeT5@!#rV#`O10e%
z%kYV&!YKpzgy0R*6_{yM=Bg3gwKWyL3F{sg_^Ae$zf$V@3->TQi8ujQH{Z9RSi=9c
zHQGC*@Z4>C%RTTBv-}-9U}xJu?Nl%Yso#z70(f4(NkU5pcfaOcUxIh6qy~_~e;C%i
z#$k7fnAbbu*!|gGN8vcV{o>o$-@N1QCw*|taN-9Nq}$Fkvi8Ch(+8D*AwBMv<WL(d
zc0FaBDDR}tyml*0?jmxAIG(xdXQ><DbGs6kSK&RwY`%4H@|>XkJp6@v>u(9Xv@w_Q
z4Sv?xbh#M5OX9~!)Zfi@1@Xslyl4MYqW<o+f27NTw`qRd?T01Q&vd52C*SBCCfeiT
zIRWKVn9Fc5rvsjse?$@wmof;S=z{y+`MKSOSE63Nd<V~Dd#we)J(HU2ZE(b<a<4D^
zrq6nS=r7TyPnceUN3=(nYhX#H!_EJ}_Z!aNd;xcVEWc?7-~I2tU^z@pTex8ZceEc!
zCHiAd^GjbnIDI|*<5O6{@cFzh92`um{RCFjQ7k$EpWPuhlMfr6IL4_CH(#$dC;GcU
z%IIe{xRFuYlSp4;Yre_>yIpA}eFh(6t^Y|4ht^N25dD48I6HzC<~MTaB+5(f5J&a*
z0P>%8r6c-#_}R;8TQK#3@9C|uy4dL1AFvqbiXze9-QJbY|AaTpJz9HVE3*~xaoAVi
zCU=m?-_%h130{wwl$nG-<nad&z&wY0d#7N{S1a^GaO;?<!vegN`SfEc{AR7!e+`b@
z`%|+7cJtC*BHI5xN2}!_cz?q15YZoX<un#V;B9S}|A_utzgz4(HGC|kXo?9Qh_AP!
zf_HW^8`Hq|(th*pfP*;it<u75(Rc4`^W%O`jr2URy{XksqYaohDTI^~t~YXd`vY#t
zoxQq+{ddy~?iz!8Sx)JbB3*COFJ&Blr~h?~8V*x=X8sX=)M4yTY=5$iVs-$2?E9UX
z8LrHd%kPB$-L%YSfmc4<ROp83@;2mo;G01y!71>EIM0|vuuGo(N)mi*U+)$lT#>DM
z#0u67_BRlNnev1S&cX-n`Wp|xHDrs=_Q9V?DxXWi3{BIj?69!X1vN!@DV=@i%6_!R
z9anQTIK!4Sc@<93<DEGP^KOyvn}U70cJb@M!9HJeKf`wPRb{5Ij%@E-8$1_$J=zj3
z4K29d4qIIoWj_z+@jN*478YFCUEv5Dgle0;gX7G+`@P_EEmHgH;7YuI`Z^rxJ0jZ%
zn-0~*N5YSss()6(6Tk0^N5itt=l0gXB`XxV_hDr+#r_xYo%0iO58zK1Y0sC#4TqAh
z=fZwc#nX@Bvm3`><ijR<KAw4S^V+)FGx&3mx@-pQdHU_db2v|l?rkRg@wKn(Yxww)
zB#n6Zlj-ilI+&xxye|O`{M&S-1?KZ%Ns5FAl%fV&;l9`b{%H7|iQ0u8_`+P=mr(cx
zKN)!+Jo7;B>J3=7wEE5{ydAki#vk^e@sS*dwa0531K>F->AJ7*)LG}SYw+&%1*=(j
zQBPoxH|+2Dc;P$jH+l8$1z3%Dx6nFl8Y{H_KX~e0%gev8PIk+bE$o%*ZS)WBTJmwX
zhiRWnPf;#oJV|1fwt#~f$Afmkj=^v1&%zWLX}cNW<FC$!7{bQUszrNX8nvAa#&CD^
zmLdmyhAOq|6ud@}HOL7+KdfeZ8n*YbxhMcTM1SDXfK5ZT$%SB3lWQfKaLvWncO~H2
z2SE~YaG&*Bhcs*={8sk}{7lnzQ61)!Ql^uF$$wEqX}|#_@3rLNSf;JF7h$DInOzdF
z_We5!PB6EizkoFSuY)ew7ye!{I(-l>ev--M4=26|^b~=oVr+_T!1q54$?(IP>)&)D
z;7kvnHwR#^Q$>Tf;bD%>Fi!Zkih@@>EN^#t4>w#zy+NJ^XQaLEVTOZagR<_y`T=J4
ztZ-J_aj9(hlV%nlJ-lb+O-Bwq(yI8B0hW&rvo40?`Gehd!MX=2{*=I(%f+!YupUqN
zzIvE%W$rW?d~`Q?c>}!VP_nrbKDMmxFar1Uk5z8-As%P7etQ)DE`EHS0_mL|b&A_?
zShMAeEu?Si9vvk4j`9A-xd0;FLh9!u5xCa(@-ZTP<*~c67;MyYVr~c0-*6T$Xu>yH
zRPr~GZu(d-QX6h89hLtB^Jz@88o+IdmEKdZ>{rF_Ca}#*;kgO;&0in;)9_Fn*})dL
z)-CUdAw01Xbgvms{Pwv(2cBf3AC7?^Wl{e!hLtS6|GN#3`1M9u!*Rw3o?L@3Wrx~0
zzzXL=<-FnHYp1_mf)hV6d)dI1q(g6AVaIAGay!_p<FV0oc%$mGx)!WcPbU%pzdI+^
zqYYDsk5-1m|CN|@3&9QY65=ti+|dNvgYe@DlA1*Lo5S8u`(Q?sJsT;o)?=M3?C?6x
zba*CAKVG{?1#g+o)Mdky{oj0P;Bob8y&~BCc$Oj=oIX;%Pz<N^b+nMfu1BMN%i*>5
zfLnigasOc####aM)b!?T!|z{;%C^E9RzBx9;PylNd)i>N@~l<dlh*t3ZrJt0{L^aB
zzQf7;=eGJ_+c77VRahaqHf9XoOeZIqhyP<QKKKc~EPe3y0!;QZv|<KUQn?n>2A|<)
z5nX~aDx=xk;jyZvs-JMk;cAvB_}OlQM`SCwf1Q7x6Agd5A|Xi&YfP+67{Klo->$R5
zinU!XM(`#__fB3||2<=|A}pMJf9wG4=J{1o2{zphxhw`#1zl0#fH~Sq#t*|oR5Hz+
zaLr`$6(x8n<`_9S>=d<IT@{X-+DxE;lkffN)`3l2(;0s7;Q4LnC+gGiZXbh(KjE!+
zZD}U(Gn)I>OYr$(1vxW#JgJ&;4ep=$J>>>#PXB6}hi`nk5aa<<y0g13!;E)@MPmpD
zoD`pd$sXKkiG}s4T?Q85idLg*d2n4%eDY`b`*by9KK%Qk+lM)LZ^wnx?_oN{(3nZs
zyzawXJG{@fMD{EEV<{&2D}1E<+4>mly1F7g3%?qjcrXR~q(A+%V-?r$<pHZ<Sh$SI
zpA3F6c<MTlf6u<zw7u}Lgd_6(FlT_a919%OSZFv%<Uhn^ECl=T#xr)o;p4vFh2fes
zt&DD%G1xIk3SNv5v}uJG>gzZT!+H-!7TVzd`U?t<!d&#RPE~OA5#!It;qt+w8`bci
zFcl9i_}|%2o`tY);&8!9SkzHrCLd0JyU3vir)P|vPlGAEJdHJAKXR3U6!=xwjV2}7
zP_Tk22rl*&zo!Z}bqYlUz{id$(HwzIuY4f80(ZViRwwdbcGvWBhH1*OUJ&K26Rx{_
z5T1~=Nm7BS`vrd=f^}@n59q)X3&q~-aCeT4l`h<OlAeMSZX-RrU<~ussHu{{r#Ln1
zEa3DnX&vOSw}-l(158(|7yFkR*Goa!`ExLHXg2#lm~mO!=Q3Q%lz*okj!}x_^@8tD
z&hT`=aT?L3fpCLD)OZuTYlr=*V3;Ah+4&v(+5g<|EjTFh+@U(y^R28`6l~2kbfOVv
zGd!A@4v#&#OjZS3%u-7}fIUMexN6|TuNm}8;IucCNzt(S%)|9p@C|>F{ju<#xyNDk
zu!GEj41YMsgSz?+%$1=g8VC>M?>X5H-weyV=m^^j(sFgf4_>}lzW@iBuoMl!ynLGy
zdN7OlV&FLJ#7<U&XHNA@Cco%rU`aahUvjX2WWmG&9PvRcTme4wq{4L_zULpME(vE>
zs?z*~I|pxeNx|Bu&fNP4|L%}E%?B^&nRV}2!|z8$hWEpx%opvb;h#O{dUwDb$r>FD
zaQ<suJ2LnetGP8B+_A=<KF@{Y+mR%}4O8T73N6BczWKF+ME?A%IU}%`jMI;U@C3E4
z)EKNX6?j7$emNAn+y^^L4DraoAs@~CKf;=4mP?diFPSLC4w&Ph=E>u5XS?;gPPp~8
z)sQA!!TUnJ4*sFHO@9)eati6Hhx=JsGYsKg+uYj~@S$!8MPu0eggZwS+)L}%Y6bhZ
z#t)UjO$Kky+rSAr78jnwM@dH4F2FYzqNlRpfJ^p=F2O3CdagMzuby9}2i)*2|FZ{d
zyHQ}}50~<rx_QD`Y^@77U~(xd@yoDc#kYtESd^5q`U<RdnwBLF?t4KYZw<#@I;ndH
z)|ShEV*{7TTpGCt+spX+$ig&{byHce)MFY-dH8telzSm;*Rc6UoXEd5Lt6|-9=$9t
z221~V6OaQ>y*l-r6K)l*f1U?##J&^cfW>t09ms%1mny#Of%Od%>M~(5Sw(Y3__M<$
z$yC_+w-^f*Jmg~aJ`Fze>_y~GIMYQ&DFIF&EzsKL#CR3LH$ar%hC;r23$}Otr4<Fg
zPL%NZ0h2{eOhv;c;th*yu%ctRQ5f91|8>CvTppgbMAVm*m=X6pEO^GnmZ;DAh%=*;
zaG<yD?*RDwj&J%Cu%slf^EEiLevxhvzGSmW;SI+Z-46K(+fcN7xxnYT;*~q#AjM2Z
zH+Z+0!t-{xveP~EB1~1T<o*_JqEY2?f*r%=zBIy`ag4X^;G)-?+y$`z^K&+ia6;Gf
zJ5S)%OsP(y|Cq8iw#UJV@s=6(aD#iK%59i^R*=C0UUNwPc^<Z=yTnYScMo}7ItRC%
zl!`EizsX+vY6vr%*i~D?M!PJ}8o*<<0-{E+>H*u2D)1R6HG5N7z)<g`GVHZY(Q_K6
z5jSoYhdE9%>@<KczS30`gY#*7ytQE$Bja*T_|`^i(JA<dg6Sa+IO1z0mpXha(KeSF
z&U1G)B+jR*zDw*>uyCx{n`7|xm21hrI1o=&LGnulrjCuG-hh)xYW`DzZ7!ume1)~!
z10EcOb?jgM{sPacDC|BATWr7a>Vv-(eN~f#lMEK-dtf2GjOSu-)YCr~8sV6;M`tBr
z1{=|lde}vH)m#{+4?J%66jto_ixq)CMqGbi0(W*w{@V}l`Y%T7AxzHoL|PE0ZttwV
z51X8@%;tg*{QCAI48CN#=uYIf%{qQ56waKzKShjR(ti!Vy2BH@W>|>)X*-I~y20Px
zCEeT$3v<2sXbYF#`cTaZKMN2%Wdo;q`ij!S{FcYxorY)oGwk-jtt^E{b>Z5jligIX
zdimQ|N8$AE))aK`zjj4YMc7eprx!VVT197G3TDryVxWYn-@Ubwgi8j>g10a}e_j7F
z%me4#dh&t<=}$g7>2t%%^Lhfmkp8_n`aK;ya`dppAGm~!U4<6D)i%(&3d`<I63%DG
z{*s%wDe!xpo`L5Duob6B+-`VqqueP3HdfDwV}W00&8&yQYHB-qc;IS_tVMhH#p{r8
z0a$nRt@k;&*JE+7IP5mbx*!Dys~jqkhvTPc?IhuLl4@=V*e`#HOBg=?Ubcd0-^=WC
zcLd=c-zH(AeFe2YoZ*I>b&odw|N0>Op@|bVU1*i&LweYUR8?Ad@j{;C0r(VERyj4i
z@372A4p=!j(vuW^J(})Hv|qhQ>KqBolqxhqv|kccXx=Y2#E0ud`4Gp~dLWr|1I}LC
zJ5RJnm{aKR63kKL5k|D9LQ3zEdH7=V?*1RBzq0rdzg74e>+_?;_0-da@xn4Zl-0!f
z8Rn*ActUJ%!uMj>Bs?K-;?6p}SJ(G^7u?}=r0*}x>c;lI1AbWJT)PP~-4rdVfv0oL
zNQm;YZnW%q4R^`jn*WFNZllq)0yymLCDENoAE);^n-8boPGcd5jh;mwO@-SVJ<N&v
zajN3YN``q`GSsNxv@DshaCrKW>kUTu_0N{MFnE}M<^z##$>PIF+;7=TJ)++O@B2d=
zW(NBWoa)#GpQKV1JOE#~_aug>&xh$x>IC5Zom`85P(Ee}B}Q7<s^dn%8Z4^$pnwhz
zcVeO@>WAUI$lo>GPyfrg(ef4kbs-|@2b{vU_Uto!f+E)I3+z{N$$bR&o0+61?#JaA
zXDkQd(5C6{eeiRg$-#H<=%*n5LAWvbpk6af-oJgf6TXrt@ct!insBqZ2WC0yt?~l4
z!*#U{zMZz>mkyV@mXZ?r<8Pc<NrTn44_$4BZMIuPLtwecqT|H>g_q*8SwZlB;R2<N
zuxWGQ*aet!Jka+YOrj`Y<OnZl{+O?YBl($5pMbX<#PyqC!{!H#YVZZ`M|H2^ul8&q
ziZFv`jyaM4WM34G61>7IJxlCg!u>1-2dufyqWb~<UR@K%34b=t8|jDp6W?pC?Zf^I
z4-JmNE$y5=>+nU<+KWVeQHKV^FT#@AX(Yt|mz}bblnbzbF}eFESmoKZSD7%A+<NCX
z*x_}CY8HGpJ<j$geCw=gZ30|q@GX857TDvceHZ>c7s*SC_Dnpd66On+@AsLfgoDQ{
z==@=kQdVDjcrQ;^=t-D%<Q5$pJSEieOB<$YnGRrpX|gr1DZnSRW=ojh1PZ+cIrzJS
zIu8vjITxKT4wJ^!ydwHjrfN%wFq|;S?=z3`M3niyk%aRrizbNU`<@edL;^mmLuoJp
zU&xj7lZPV;qbtT?Hfi-0S(v7HTKFT(-!w0M9M(;{7*F)4gLCUol;C{YMiS!x;Cs51
z`4ccz7?w^E>1_|~)M2^*(gz!0r{JSmr{IeJSXAm^p?;Np#PK%Nxj%gcM@(KxKMQj{
zv<i9wzxaHa(E{EnT)A8be>}2fXb;a*95gF{ulH@X*uq6SBHlfMPrSZC{U6-mv?`tn
z+bstMUw};q^fOZ6;s3}RUEuWA3d&^ITjsC)6_`4o#hds)oUQEda}5p`@E?zc+p^u4
zuflJ=hV{bWB9%o+qP_eBl*&Wk^T$5r676|cC0)=5-gY*g4TU4SH)FkFT6X!qAed|M
zmCFS<bvcXq7VO-@^zl5r&}KFi2s=uix-JFJT_a2Nf^$C1GZ4=Y>ZnM+66IyHe5JMv
z?rN^fA&$rBuigk1EYLSf=>T_|T8n<i^Nqd_IZZ@;NdzvvU4d^qe1BjBf4{FE(Fxmy
zHCqw&A00Ww-3`b0vDazBl4GN;uizo6KLJGha-Xr=RSCPtR<;xUt2T~O@ixr$w=kOM
zUmQC_d*a}|T|;LC;I2PcJgwl<ic|Dl@KE^#tqn}_$GV>hezN_#<Pdz`&Oea`zV%N~
zOBAM{(L75EyQZ(r{=)M;NoQZS->kUb95)X64cDy7IIY4Lue3btgn7>S3D3h<U-F&m
zhNCoGuTR0n4Uzu2@I=!)`C)hm{m9-Yu<MQ=H+x|3RC&z+I3U4Rs|}V|2p$iFr=pv0
z)WOoprr*`z^V=s+yn^R0C*L{&+n-|%ErO|Y%<d7-liMm^s^-A|{>4gD!)vO0I3L0_
zqc_%O@H|?%rgkI=w*L1#dJew!Wvk^5+($2Zc@Um>`t(*5T<l{)K1}%K*0r1P#rC!@
z#Pj!yz2&k&a75see;e!@cCIJ@mi{jEtpPUJ#dG-@e7aCG{0&@qpnK{nyg?iEqY55i
zh|6+@nY&YCiRb+uX_{=8;Me=Rwut$FpNo`3_VD=fm!y~Q`^h)@c5tK=2W2r_d_RKT
z9DcS_<Y5WCf0A~~7_R3?3MA$u4t?u?tqbcbX0T+yHA)$WPr>E1y%EXq!Katj)L=82
zLGDy|)cMFIRk-aZbzB@=rn&Rb5jaqYMkoRHa~a8$hqs56Qf|RDPYdlN;0`7Qi6}Vr
zMEHOhY*+qYMhJXr$t*<xKDB8h9|l{vv4-!5bvtWVJ>cWc-%qf^)n`jeufp$JYou9W
zLl5eB2lx~7gVo)zvE~mUVm?P^HPVR=zQevhm6-2&``Gy)1zfkWQ_>nHU9!$3gLz&b
z&NPOZsMPHKupnM8Yp((^UnE^~WMC8iZL0j_G~A-ho3a8&YI3OP!}YdYyT8Ly3n!jx
z!k=^~J7(b3&m7v?aAE&0jjwS1^%E7!u$j<0`8ZtX%W_5)UgG}iHwss7AFEe@#Rlh&
z_Q5}>Y0QcFuE?Vs&w60aV5t^jKFr2y#-k0so49Fv7``s@d#(ju+2rmb=G$hTFXq?7
zg{)H-Md4RV<a~9o@)gQKez<9TbD|tpOML4p0BeM^n!ki;hi5)<!aqlM?<<DQs2_QA
z!`#bKafPt0%9|Nt{?DgGL_Zt;>Ej*53X_Ni9?OJ}cvspI^NsmRfm<o?)6I(;#QgeJ
zUa@B~yikAhA~C;i%KKF2He9YNwN1>g%WZrqj3Itce#VuUUsoHLbG`xFrL9x`hS$by
z&xXLIX%aKDupzxOyARyr-4RI4r@s8Yw95<Tt)jFYg3n(iX}tnVOlJHXhV>=xyt)LZ
zIQD-e=706b3cMZQvi|>Ei22{kdFf-;aL}z6wPmnMdCdb8SS>`=^f`RukV}jqd}hH-
zE(^AaO4dCIi;MmGkPTZ88Xwhy9fl5++<~hj!~PtH&z;ZJAmTkZCisRFU^4Pe3J>`4
zOPe%FIMVFugR8Kbhfg&R{JKWQg^0JQN@DyY1ZNjFeq@3@^AeT0V81|#nE}M_)Xvfe
z3Bb0#wfZ07>;8I2*<cAZ@va0|?8fRJ23Y(=+QqvteO!qHEgaQd{mKUp=(6G`hbOIg
z_5I-Ox{Z6Jut(^jIuCfa(-X_z%!t2djWYFw|2As({(_6e?lwEaROgC~XW>=Z6F*$w
zUGfxTbFgKmQn)vqv~6iK1lt*mKPTcrKZF*49fm(G4ycF0V^@D(Y=h%8FL@C0pGR_4
zzrTlhnH)*u;O;tq_iEUQc~<fceC$!f=4+Um=}Y}Rc%9Uu>IHm>jMw}=9Oj>{Rt_(?
zbI#_#%~!?9O5lJ+<DgvFGyF<)Dg5cZ0evZ~vgh}yJUF{6BKIjw{#w582|UYtLym|C
zH5#u?%!GSOUw){91$lpSX2F|o&#m9UKL`BA(qP)C$#o(=w7cwuV>-<I`qK>}K9ply
zQt&Q((w3T&i1%VWpCOkFkC^OKBI3E?toLlh!lvpHy+r(5-mF$o96YsC{2UR_B_7U4
z5(ID5dn6F?pp&&{ZUw_}<sN)Q{8nukCzTsq!1_dg6W(yvNN|VMkLQ2df&L=S|Jc9@
z?zgV>BH}?+vfmF~g7tsYQPRRg%L4Zt;JJt059r{kohSF7hqdy0#aQ67xrbAh@YL|+
zTUOXQt^SfVEM)w}m=`W)U=T5Z-!d*Q@WJfn63<QH=|3xehhUlS4Tm-1KgNIa#o$lV
z!_`_an;VIu9Q@OM{IwuFmpYw9#DAIY>6a0JuLg`$$iNgiC(76M66?(l#~p*~^^C<=
z;b1SJZ6dvIK~bU`Ru#56OT?3o)>!6s!uyu=+N9xvp$|fJ@OVh)hAiB(y^&D^-??6U
zktmODM)pJwJRLM9LgW`D8!^v@qh?yu55k<h%xvj!Ud=UW5!iLfAR!HwWU<fM5C6K}
z$`}c+WfXJ@z{ctHQ8!`lgE&v&P2Imy7vMk7R?>+0xcFovGDo=b+W-|2Z@FsJdqM;j
zRWKG3geya|Y7WAUUu05<-&cB+9%F+$uF$?E>O0N-a1%THSw+m4D4%eIG36u^=KG{G
z-H7_=_Ys!uf@j?qj}zm;-VU!H@8G@#(SBmQXxy)(Rs(a-|NEQ{`&pEczJ&XiWqlvO
z*6Cj^KZVmXid%{E^T=*9u_y38$#L6onBmJ9_hXn$BUqUj52Eu;Ki!A7c?$cl!CpoS
zU1>14&&ikP;dtju2?=oiL)TLmV8=Pyu-h=H60L{{%x-)~JpvXg5@|4npFUQT4TBqF
zn=*;`_HBobAHHy?_9r<azFp*2%#1he<l@C52k%Yge&P!EU5zS|hX*5HM?1kiG|!xw
z;hl9>y7q9zXzdPGIJ->zl@+Ya$ZD{K^#DcthrEs9Ggr7~{=uw`txg7TYIs5OH#j@o
z_mB?kFIs3ttS5N+?|QZtY!~X*{uK@o5k0RAmmI$AK&-bIrIQ>x2G9CR{(n8j*X-#B
zvT(MX(0`Lik6vD4k%47h=LZJi!!FjT{BTfHE7>S)LF>l2AO0i}eU(`MLGnYmhYh~o
zc9n`)|6%o4<<vg-n4pYLJCR@SFAW2H@;xhk2W(cV@Q)S_W=URp4KEn|t|f;fDLrr0
z!rBwghe+V0nWA1|Jqva4L#JIZxm@?LY`Eahvh?3Q7~j&%t8L)jk4M+m;A(>y13NgQ
zFvxZp7AL9B)Pz0ay?AHfeAOs9ZP=vaRp2MM`#QfP7yO@9aSf3kxo*};tPf%k_VFEr
z@0Iw9He<b!1(#;!1f1>iEcq?WRM5pb1poPdv?&d)xqHiW5<aGIRU#FxjPq+8g?n}<
z1O~!)l?8W9!#8Z2XZ_*Oxp!+seuZd>7H8OA+evyJ{>|?oeF?VVp%Ng<(|PATqXld%
z_UIgOJh`5K{LJ8F*X7Y~@N>_n3wp51Ny~@C_I-PULe9Vq+~f&Uu*St1J7sv!DKEoe
zIEAt7rwXhS997#7TYP$_Aq4k)r40T6e`byz5r*k3Iy~B7-^9f#R#=A7K&BDSV<|Yp
z2KyNb3e~~GL%Sq*!N;viXUpNTy!s|8_~PX|BhTT;QqIS}upY4K9p8gOcwcLW;%_)F
zcTfBi_#U$``yBkh=!rolJn!3AIuAdd7kvK^W?Km2A=VR?lhnl|!`_xcFF(U00WCpy
z;hIjr#2$DsS-3VG{yx_KuM0LYE<cn4U%K9R`W0M|bT%&!ZgmabPpogGH6P~9g#*Jx
z?i9j#O_d|HaLIm#?p#=3Pr{@IW*4YYc?e%vf6-0U4;!f(b2^+nmH3vZpGPbY*CXMt
zk3W$1!q=aV*xZ6U*N*yk!$&EjI)Y#qeb*|Yzf6g~RS1OrWJV4X{p;Pb$CGPBx-gXo
z(ZAF)^Y?hdc{v^n<FIP4d8jk2@P6j;23$8eU4H>q+^xm)6TVHBB54Dk8V*mVB+j4U
zNpeg0Li_k$3b?cTuBRbPPxH%=4)zOrK7IxcNYrbmfu~e1=xM_@ogJw6!oJr-D>UI)
zQQ9ryd_55}n<5KOJ!d&eoZmupq@*%%W>&2j3tZsv-{gMSXt>Uq8~!31bczqQh#W2@
ze(%5cjY1#R^FH$V>rR}%^zn~7i1ox>mQCl0@-;G3l)Q!G?|&2A!tt1mO{zD;ol{bG
zf5FyCi+70i&U2RMO}@iLbB)3!u*kqEZKD6%Sa9xo06)*XK~41khRwwX58(sh|H3}Q
z7yVM{i1pVhua0Prz|unJvs2(c(#krbJx<=+%@haAnp~l5fN6M5`|iT&1Dioa|E8z>
zrydQHegATc=#QR)ZTAx3eF>qY4`9`L7wSlud-Z2T49vZ!N|sm;&N20XBpN<CZuK|}
z_F~x^?hCt(CUr%?#wKt7U5Dp}<x~RU=6yRF+~A>;?fpTpp6-1<C%AlSmdpfB+@Wjh
z4(ExRxfsDKt96Dh@MVFd(`s;v#f5k;*tLqJLIozz=cc{}bN|Z_Qh+}_snZI8X}EUX
zk%Qynt~L0<SzUQM#NjMq#_cdT#E15>D4db)vl<Mmx$B<dfEAZ$BqQNt=Sp6(!39S?
zu@L#?QpG$s@IHVyu~tLG@x|n~P;J636l_L5u=~mdpYJgH_HJu)SXMB%lX!nXS>otN
zQ&@Gss`3*2?^xS}ENr|}F=-txqWX409<JD#C9nnC?E3X;ixKhI-Pe!q!v5di`7ZSr
zHcp`_+(!DEgQP|ktk$4qLW^{Xd;8v3!=`Ih(|h5>5c~Wya5#zZ^@H#Sh9Z7__yA|&
z3@_YCmvBiAZsAJJ6@bt5&VG@B6N~q;aKY7k<nlyeB?+oRZaC%mT|N<*vg{T+3(U7i
zDwiEjOSU{g)K9~W?R%{7$ud)ZqP)W-#@6)kIa7rSDtNRtykRH2@FQz_9OXZtzZka7
zfb+S~-**BQz(?}F!>XEx`=ek5va9s7aIxWzOEIvFPQm6R>}xbAbO}zE8w>1)gFo6E
zT!F{$cx`sVr;YmS&%=k!3Iprl?J(W>i|`K;z0Dd}RHoL#7Jf!IU;PsPTjQ~02g`Ha
zk$VAa*?qP)hg0rKZWhAAKkuws!2AEkEIomzI^Daq;lVdjWtp(xbB+rq;cm{aA{lV%
zd}O~W>~ZCoQyxs-JfWfjS90$*egsqAO#8<L4;vaM<iop!mz_A_Si@bk#P*pDtcRFj
z4n7^7r|@IH(i3}Nv-icvi{XdXG5o~$0pIIR`w``L?HajFeBW-4N89}w%(GT;1y!kH
zVeC~>1xuDt3@yU{of*h}1t&0menot5^{f2f38H=$_lofk!y8tXA78`k71X4yaMFes
zQxlv)Zg}M#TzxP+tRC(=|FD|)-mF;s-TD?d_|<2@BG`s(^(B%2!tn-*beNZGWAy`k
zd5FwC4bD74ey$bnqB~PZe6P;$(BBNA{bowz4-wyw)O%bL^&UR1d2-egmT=2?*9)_k
zL>iriL$i$4dSGMPUyTOvV68hv8{9tq%FGDnWH9*t25vd!%q#`#p7MWQ4X6I#FOY`s
zy!`v50{*W5`xYN8t15n(sNb7f#a#Tbko#+UqJE2Kg8wqYM^CRGcns5ti6=0@^pOo2
z*>K*wWD**fF<D0NE__bz^FiYKcgtKfj}qW0@{?&4FfVDaPzY?j|3)M6z2)tG+pHj%
z?ZBKA3H)$1-O(G~DG=1W12)KE)N+B{6?z;x@IIW@;&ap&V9HqAjZRp{>bRdhoL3yG
zLA<}`$b);wE#PMfRKvvkd;aZCsx*U>m7R1-VbjVre|`9v<iglfxFT+C<1}p3rE{A2
zzIH&iakU2g=tJ{lK74iDLhb}iWp}`Uc)w7gWzFVMc*g1ebQUc7=bfh_oWAtS_#Qkw
zDW)I|vr}B2ONXbXk3E-!nf%|G--T)9a=nCM#SGbRiSV6=)hmK<@UD2P82E^};7e{;
zPhs<WEL`GhUC05eW)^l5??>wK>2P6!Pjb_rC*F_rT=@GOBm9T+V(&HB`u@3MD)?ny
z(?xIiQE8O$F8FmS=YR`55JR%KO^@?k(#zQm_8}L$_z%9#)ILmn&tB=&<3m5;%2&Lu
zPO!Alz~gn;GxplJ9UMXZUi1s>R>iRMJX|A1`D6;_d3(;w5;pA!aUO<$=oV00!w2it
zzK_7gJIvD^VTqMY#W%41y}jm_V9gf`FB@R*g7fc)_e1sUJ$N$}b{5boBK9vZc#AXz
z_7%U&L8M!}9M%nl!>qmz5ZjwA&}#9A{~M9eBKB7#R~hXITU}8bv4I`qMRs0=o5rI~
zn!>aZ8Eu!~xPa7gGk8XwRnrL$p8RxLANI<QrLu?lVrM7Mz*m~6!)@XFpT!M`_h-)D
z4%0S+_uiMD)`3^|Qoc2T`KP^&RpBnO@=r`~j@GX=;(eZe8hg((6aHRtgV?`z!rVML
zyzc2%WC2%%sJc?Zny3E9(S65b`Mq%fM_CyqD<OqQR45HaBrD&FvPq)s$_^<rBTBL=
zTXq@QrDT_k$Vzq@AwroMzt8#o`F@@A+|Pa1b<X{y`;wF)@572@pr4;(#=p0?e7j28
zSCpymwgA(*$Ie}c)wpj~_rW&TS90y)UaumR0r<XQh5T)J&%?`~Kf@w+r!2|*IQBf@
zVhim5fNt3jt~%XfoC~iU>{cQ3>v2PTPd4$6ttGzj#M)ugICy)Balb#j+QQr)1DAG2
zob!O+^`~76hKqN8aq@<@KDE9S2&=dq)wF}p=fB(O1#`AGjgtHOvoB=ZUHG7*WGxxL
ziKnC8PH-1@m7XcA(vhHi1HQf`|K3s9apaJ%Gc3s`G<z7fljL@HfaR~>Yu*jNTSzIn
z4WF!<J3;bCKCz2B<OaWewfiMEJkF3T6b<i~d4Gw#k4)6eKj|sl7ckqv2vbi{^(VrK
z7tSAJfPeS?&`*F(^t{ulV4sYpR?<IypTxb$`+WISGS26~=4)4{=iz}1ejncxZ`)Y+
z2R@ykf4U5|a6NW(0*=~H<yi}>I{74z!PO(-E7h=?;%ip&{y6IqBx-@ZKdpQ8!vb1Q
z#6Q92OV&nB@X1ZHHecYawK<>2`{DTG9$h8l`T7t~Mk!oFH<-`~52{>Ze*=$R-}#7)
zFN3Aj7xKQz`{kD#y5M;^Ct32o%K)j?lkKpbCP%P4EEyHQfqcKvsW!g5un@n-zdHDK
z%!xG{IHpbDeFZGr^*5BfkFlwg>UcRE)*?(v-q(1_<wYgwk81Jzd;b6azl<<hGJk3>
zl|~t(JS5+eDiuEBc}<kOFHlQQX*mgwx2>VqfDaY$mpy}JzFWqU_YJ1);glxhla}&?
z@eKTOa&Gkz>?3$IK@GlC^V>B9e)H|xW(7FtZ?lX)+-^qk{4_i;(k$f*f3Vc^ItY)O
zl`N6@!K*mMCIx$Xl{u05(G|+&D+a%@PCsT3ySZg>?uX^|KWANsYt@9WvB9gitL(19
z1vR;g>~NM==cFmzr`Ki91SbqOzA}LM1~2_%hW|0{5Yi!^4`@}H!~4XqH18Nc2j584
z=$VJVF$Wl(fyb39MS9_6`Y`@eFx||tcYScd>f1Ou_{=UNu@3lW@xZt+Op%!}@(o_>
z<}??A&uP?aeSt0RU#R-Ug#Fs<=p}MJ!EF@EQ}8ka&(tui^y*(zFYF<b!8Qi>PbOXH
zhs6dSq|CsqcB<Jaq`v#g3-Ug6b)R>8lVOvHt=xZM%2(M_(Xhr<sch07dd}ygPhfem
z%fUnNj>u;(9>G0l-1$b}OU-$a{_w`y$=Brl@j7GAzl6Xd+uMamzEBCnqbfnL(=dZ$
z6l|-=;~NH_k)0WcfJ=pwC?3OUi5t`(z^>VzC!WEnKErQ=;0~@psVGwZbyKt(9HwJr
z7Z1l%j?=or*#iTUv9Ro)6=z#`p)^+{6~318^#{rK85$%Np9rshWs%T={f;bt%Ydgs
zCSorV|8UVshjYu<7}a3zeTTzx;a-Y%S5-LWM#1JB_)NmjpK|cd3V#3haP(SWr3~Ej
z>e+@e*z;4IgcO{ln^DvOJNy5+B@Un4%6YIIelD|Vl;kTIDSv;1j1Q-K-9?hmKw*pM
zL^r&UFi^=0e-N`ZA>+%qaxrE*94^}4Hx65!wPDx_`#iPV{s-P{wbNw_%(=fUat7YD
z_t+>c{N|YTmnC?2^VmfinCoi&xkY$zjjC!D`5By<F5Raf^KF0bffYEd@eR#7%8Tmj
z;{L!DY|5u-QGU<YfngSIvPvqWhNB-na2ta&&x<TG!R=oTj*h~S$Gx2y;n=h1wEN*>
zWgGI?U`4K(%3k=dOkO4nycQ#r*Z|A9>>c5P7jkNu>R}E>Pm^u%NXejkC9EiSwQCP-
z`i?{UJ-qIduSM2F&#Yuk5&Yv0U+4kYa_ECZA)KUR!?Yg`2^dOv37h=>qH-9H+u+Rf
z0^WC-x8@LR&k^RH1Z$q_JFW<yn8?(MhsAI3mngsqd+Vwr;ion3f7D<L-}4d?aK!Dh
zn`HgEN!~~ZhS|r>M)cvH>YJ{Cu%ddBi5`46KIEq-e1S@)%M!lP<5fZOf7ETW*Rp`q
ze<X=J!I>JbAKAiDb{w$|u*up4<4xFm^a!Ih+<oANj|Xh}opsn8UI~7-eg_`$J*;^d
zKInJn7ulah*2}0#{t?lS(H61rp)*5{>af!5z1xdm@zR0UYVfvN*~kL;+cd3+0-W~s
zA!7}^nioSU2Oo=!38;c~*=uZ%z}g;VRrT=J5&B*!*s-<lB-x+%izWZt2S3ywaU=Uv
zCW~W<C@iP=d%hXA)`%4rfDNr^B+33$Bh?+Y3r?S4%qIJl^w7o)T=0%^nak6#<l{7D
zHuycGboUf&B-&cU04qBwaFFxP=2A+5O|W9gQRcsJ@NGTHCFE<7>pH5s0`pzGcYOgi
zJ|!l<1Yf(*t2P1;a0|Fo;ym@;j;3S?zPy`zaUJEMC6dBD@LCMxK{}K#T+t2t2A`3k
z$|2`3L(Y3tUtq?IQ)A3<)|s>$&2YR-#~=gjqd<A~JuGbWOos<%pgFOd<d31M3TWL9
z`_Wp3=fg*ZPpXQ--<=|CNdCTH8Q~fcm@~P$o8<4a8U8FS4PPo7$WMkNX2K<pz|(^A
zkHcV5xy#p2!n=*ntcAk+lxYS@eX7B4YA&#jWfivq`8@ykVv;|xjL#-S7G`6$rzZJ!
zT(jP29)=%BSv)m@f7>TFAA$>|qUf~YXv?_>F<9bbK#UHY`DloR-0!Gv5d+ERqc(k{
zlOHx&N{Uy9f4PWV+y$4oe`Y56BmLyPw{gMJqQyz7u)yP6TR7nA4@_Ppf6#JzYdaJC
zU+r%;Y1qZ-n<_m#AaLD;<U6W*FSnVD&z%C5`CV|`Q)3@8o^4DO3M4=0EzTAdGTxEm
zk)8B#@%=fu8Tg9nkHSUdV+zx@p&5hEcjT!q!{Ir;-lK4l^w$!SuSq7>iHXd&IXcS$
zk{>klL{uO-|8OS-pZ^7)V4Ar45>7T1ktF5eNxKF!;U5bsi6q}$)9yd><UCs?-1nPY
zZ@gaGApjO}S~ePkDGhUudcsa#;j<(^se<WB0Xg5ktjM|Y9Zu*rq&9=iolJN}VGHJB
zud8sC*zF*a|Fr#!e-w!~*^8cCL$DslA69Z6xMLZq(gSZX{1ztxAC9?uljKKbIcLs)
z5S~x9qWB35e3Q%Khpp}@2$TCYz4Jj_5WewNyyOq;F1UZ58+MD1Qk#Ph8|At3!ZULB
zdRF27ko_Smi1#`#mqa$Af2}57GyH@5Hq$@-hw`j_tp?xWQ`EB;C{R9CVEuIf)*4u=
zSU|bD?hlzXc%zWtN0JZgdeDIivVWGk-PL1&qyBjKCBQjnQ-6{Cs$bvM(I>&JTjKAK
z{8$<1jlx6W$%r4%x4~g`iJas-Ab79$5Sb5${|@)uhh>f|f8d8DHVPXD!(HKjbw%Np
z#%sHMVZUakUnJjZn?rK?Jvb<a?heV9)$*di+YoNNu4YK`UES~sT-S&3fBEZ4{zyTy
z_th6*{NFtzl0WiY%u{&{c+~W4Bgr2bGSNb#3SV+kF(&yVd3|2_D8q@}%AbYc%_n}T
zoP;g^$(ZbcgAcXT$dJ!#o@gQYy-c_Mjc0=$B|qi}!@J}D@pHg$gB#_<Ve5uVS=8`=
zkdN6xScC4eI4w+{6}Uk1y*g|a-qgp4-w#^?+ZAA!vm6ilVg9#aW+Y#$VNct13Vd&m
zw<TG>d&VekB*U*aJA6F{i*j#27z6M7#%@j4Z&QF;?lZWyfcl#<Jf`F&eIJ&SlvyYF
zyx9Jg76-rsr$ld%d|ygW{>Zz)9~{-g6ye{GkGyw=?MhEjk^W?f2x2yZU(|kiEf4=H
z?Fll3nf>1GIR@*#TvFGBO<qfvlJ!4!P`&8_e9A^(FUfDl7IHJ}3{0CH^Om$fv&5f4
z2_DYBK))R}dugb24wlU9b|&+qf$w$Ie{kf^s^QHrXTA2ZOYpUcx^gnV1g2gV8Nfyl
z@(z&stnvMXm<@c9DsvMhsb3hJVFeF<4s#{(L*#3to)7GhJ61u~i>MQ8rx(1zyj`5E
zr`Y8N7ScaCuTI91_0F+xO9<&7*A7u8lFxEMqq^=9?3nr3jjYc}E^6fv*j>hBtOGvP
zm+ut?S3Uc#P4dgVJwCe@0n^8Pt|9p=&ju(srowxrf)eWBu87++Wc*l7TsK$1%A)Vh
z3gJ&FyT{+b!R@+zx$tDg>|v5WJk_P@c{<$Y6;qc2j|H#pOoOi<xPLSjHhpF_5(f{h
z?yrx7X9pE8hQss239TmZ>ce*r$o!B|q?Eq`AHBVSAsSY8{gtB&Q+{+(d=4*NQRUTv
zCsbcoCc+0dN(G;TZygp|&4B-Nez-*PRkEKmcO&;x>gQ&08n*b>R6y=m!MnNr6kO%c
zB$)#bQoK7Y4S&zSX;Taj+}oUY6sBBwF-F>(ZojgV<V&2Yq!TQI`MuO0lKkdhqfaHi
zg}Hl<u9AF?&uE`@SHnz>zE*;;wsVVa6)Y)Z-$n923V%0r{{;v2=Kf=aPhRj|8i&I+
zC0Q|$^6TN>8L-}@<aPO|Vaw3F*O*|#9anQn{>QsrZb#0;9U~N6l<-urUBOxS`P{Pq
zVn3cI{8Fd1;6ElSf9GMD=4aNL@LK=8=@gu4`6-3OpN*Y=n}5NT$vN?Qu$s|$b~ntp
z)ZTRkj*J=R{s!+)N@_HKOU6ET7Q?Bd#k5ypo$<QUMKI@JrmqP+>R6qh1>f;}dWOWa
z%Az`@9N2%&uY%kU?Ww}B2>5i1hd;UBXPgB>QSi|VerqalV!|_rJFtvyV6_~)MjuAw
z0V^3jmM8ISNIcNV8D46PqCEmLWw_J1z(Z_Bl!xFA56wo*;LWWSA4Fka9ZgpYc$l^G
z^j<iWUFGLx_}R~yW-d77F*~y<OnGC=xoxnuAMG7|c+bv#-$=YGdR>`x3FaEt)S-dR
ze&n%e!Op+0@~&aLSnUIowc#?kV+reUBlR;Wa{a<`&DjySKA&caT>oL;4yT{6t2md3
z4eYgl*YN?E!+L<_2JHO(=et3;U+Yg2Y2T3YplS=8o$37172cAS)bIsfD!;Gi4F{;1
zWRm&KB+GQ<KFpQRvhM{vRV?`NF<iNvf11RHlGe<vPvJQswn`Eo?p%H3^$7Oc9~yrd
zX8WLJ^aR#DN5f0vC8ze0#t^vgi{0`ecw{~#gN%>y$iG_$;mf|)w~=z5j9wX0xL)mR
zCb=HXrnRGc;Pkae0c5;{ct+Ov;0Dh5?Ow3G1luwXe2Mkt;!XI^W2$mCSm`c9kR9w|
zC|k+`M^%<t7{mHZ2fgUw(;nOYU4aLgJJ)Do%gJd=Jy?8iQ}sFnevf~xxI)HjU(l^n
zYjDqYUh50+<Q6-+c{p^=X7wU$(8A~U7oItzV50^{NpAky4L8|v3aG;xJoQ@NV9(<d
zp~~=1?^^CJaDKxcK~>l;pC+yq7B1B))PV2l4E=rsTijf*CgXorbG!Xpm_tcu)d;>%
zLwB?QR`=EnA?<nf<oKIH_;;<(PD?moLclW%b_veTvx4bZwWxAn`jdSM4zRZe*TXot
zA$^YpnGbS0r?(`))_!_Rci}<XogGnd{9e}}Pxwc#itbbRkaH$aAUxLj_eTIM9@{4u
z4Briw{uu<z9ak`og;VHS9B#wR{+9j;@Hh*T%UyV==X1s@c=x#`8E2U5K;Q9vm?dTW
z{Vmumfu*q&uJ%g3cN4C@&2#x3Tz|cs)()mJP@k@WKTV2;8N+PT`fPP@V&F-36IgdS
zB&7u&7yJE952h;!InoM$xI}Tu06s2O^O3|Kwl~XJr{EObth)oSdLgCwX?V0`X!96+
zZ2RfbgK*w|6$eTDqOCbCBL)BNT&n&HD>=J<6ofypfB3lohc!E#5rUWNDcmR!FU6Xk
zwX?%t^2=g3z~4I`>Ttpf;Y<5Te&27q(!bNdB|_;JHp9c;BCgWGpCpHVaKdtSiN6;%
z;qOsy_|TGg9@G_Jw*>2^ls_T)eyM{6@*`o2W`XO6VTzZ%hn~QiVU}wo|1sN$Lc19(
z{N$~<3j9ep@!~bu$K1Z-B%CNu!*vN(`7~`V5C8aX5oG|^JxJ*w`_V0nX2Xkc*!m6&
zvR}zq9_`kE4;FvvkbocSCnc!DYe$qV4#J&pHuI^F&;MBJ*bC2ax(}U%;~Xq4#NcBr
zrh_No`&SzjNqb(uZ%;i0M=2fd<bhx5p5J{CE)5z{B>9O~?W@Q4!rks_o$Rn{Z`G(U
z?3<8Lun`tjJ(<M^PyV1&qJa~)*NE<bT`G$TRxuvJv!`a*;UzW}rFD3czv(6${C@OZ
z!93iYC#N<+kMXOO4O)Z6y9VmU;EHFXOLK7FhEpl!FiZZw&*XX|d<z2a;ky9|vZS2z
zhV57p>}dY!Gr8WDzLAl9nC2x*)-XJI$L!?`_;#<9>?nLBemo-`ZnSaZ?tsM(nGWT`
zc?CN6+u*|LbmNz>wViCo8`$drTXX>|Q_7|I8cuVKdh!bP5H{jZhiBrKzPyIRiw=jT
z!sC-N=L_LjS>9f<9xseP4txivfBvHu1RFGdr6%=jYrCRIJUr+XQcu4B{W^sRi3e0q
z`0KLZfH`>@6L^1Y|HBkm!pk&@>@R`>FKMD-&z0g>VOajJcf(`&t!VRp5twIrr|Ls^
z@3myN&G1slVA~y7;B8gRR`_~y{Y7_pYsn>sO>i>b!+vX+qt<F46Fhv&%g72ISfYyA
z2wQ4ybXJ8W3r71%{gpR#bINc{s{1)AIEgb&=>UAO`xqrHd@`-1W*@Ar+HiBN5Ak#5
zmIg1}dpa<b66IZ=A2)NuKgPKzmQc>S*D;b6mNJ@ov<$ZygtKpjYZpD&XW+t{`iYcq
z@TXn7=3usApPdx2cx+C{FSs<$Vq}31zt8@2**OK@u#dVn4-ZsQhYZ8AidScb;dQI~
zxj*4R!x-Bk*uaXNZvbB0$#Jd}W^N6e9ff&9J~h3CKYKCyPQz~1-uf?L`3u@9f8dS*
z@$M|RZ*TMA75M!8gn}bHaJqFbX@3!)UX?wZsi^ssw10Q;o<J+O$)R0@0_7SdzO-iW
zD|1b!5tJYBH)^~DH;a9yCimA|a-m)aR=QXFz6KtRu20_&=f?DfHo}qpM@7WpE8|xM
zI$)9FB)QG-z}C8}J#a@aWyKcwE!BnjA-IRfdFvuA;?2Q>X=89TL;d3=_#l1R(OEe8
zjnR%Vcsf>2kM!@WNS3%!xc+>>2hzV+_NR$-!X43qKYzoMXH7HO;p={p+N8he=q~!b
zgstgJg#TY|<3p1Tzx(v3WC7(y4?K7u!2b=LU0Q`5+Y)0R!p5h+-={%;tg7mn`oXCi
zes8CP`vqKo_``JVJ}<YxozFw=X~XsQ?u^^vVo`r;E%@!xA8su05A8$s|G|7gUpBGA
z`6ndQ)L?O?qpoDW`p-S=kcKaH&^;yd+oL?D;|TomX0sC+zuEm8O@!h7Cm%$t!}M(I
z-*>~2yuUY)`(L!Vdz~HDN`5Lp=BIDOlSx*1pmZse%+Hrf#j^is@cY^)9r<}!?MYwR
z5*&TGFlQ2W>`*x~29N%d{7mMPtF`N=QMl*LLm4vOoF~K|^~2|HDK(PuY29zOr4RO!
zPCPycA34|=-3V`rr!pYpsba~&(*OrV8`O2fUT-rOlVJaEUQs__)=j!D$?)qyF%dF;
zFYXp>2#4v|E~=36sd6#!iGbCAt#y(1**)E$`T*V$A8bk1W6AFHj}PI%p`-uEdTl%S
z>*8J5Xt(NiYSMo;_gg*SuVM2qNPli?)Dtv^k0;vcllW4v_#yck%(GtcksdaAWny&+
zjyiNimjNDYSGCrMZG+nnk^VdxF(G~d{>QFZ{SS`5Iv{Z#K3F=CFb-$k3RqBr`=6W<
zC+%6x<Z?R+ucX)NRKSy!ttXGb=hOC#R>J<Cm&>JKe<}y9H}If$;<5}(QO;6Z0#}55
zULp0X=#G0t!nHmWN915_udlzu;gp7;Vp-Vr6TeX~tZ!O8L%#q0r?*Y_VJ%rXdqsH8
zlUBwXes|04<yrU_U0jwYoLA?Vbp|e`ICTFetW+L4O4=vg@L~Bny!1ueS_PKh)x0JF
zf92PbAm6|J;E{(1VJ};@{Npf($>uIDc;ga}>p}P-qpbxu{AjdfNdg|NEb7<_5A;^O
z7lFg?Y&BzpZA7lg?SZd}=(aJy4<6Xl?1az$%{FC%w;ty5-vLKN{At+;)6<EZ<$z0V
z6|d01cbVE7*<c^qz|X6_`2B%>QEwxxnz>_&0_Db+vc6Hl9d5>kizp8bD^FOa#`DIh
z<cTHt@X_15mf**9!+JCD`JP9k)9~E^fw5V*saM_NH_RPlsxuC2=%sr$!3!HD!>8fT
z=B|{DFq_W}s-N(*K=OmPFehE<&I#B=R-5xBoJ}p>8w?v&aA*|3GLx+5g5dH`O|3bw
zwp8g8JGfTJo2dl;${kB@3(pm4Y%YYe9x{#?!Oo7!-ZijCcI^iPcvp(whH9AFa$V{o
ztj=na+XMS6xdxnrhZs&vbi)$E`SXf!2yMUB4|vww!~8Vt93Esd086RODIA0|&he)H
zge}F&3MAm1sSjzxaHII4(4FvYbM?VV*i&nnk`I;_^13zxze(d0`P+lv53~QqO~Ku#
zhM&&DXWrKHk@|dZ`RK;s#Gl9X=3xH*L6@I!Wc-l+EbM2fqtyvluDxs|<JCXca<~mP
zuW~;}2`3dYrPRZFyTAF<!v?lB?4MwH$#gn8cp-+;w*u~+q&T$&j_)u0`yRIGtgmE-
znOtX0is4Osc2a!s!*AzL7r_4&Nfq(J?lBMYUcl<7ynpY8^-2#5WWqabPTLB?eB+Lx
zi7;JEP=*-1^k_R(0&K0TwpSF66w|Yff~CbCn3DN#Z}4v*0zP*8%n+IXKTM_1KY;(t
z`teG`RolDX2f^WO@^MFD=11H1`@q5B*;`a$>2GH?d%}AJO+%GoMwg&Fw_ppKuuml3
zTxQ^#a)Mt!R8%_$Q*#&_UWaGgY<;!i>k`uq)-Z+mPHHW9G+pAjDJ)s8C`;m-`F~|E
zuD~>Of65HtH{ulA_245XSQkxUEyKY3I<UOtHn+<#uj%=A8CY9hG@r!J{~mTIo`5}j
zzDn!BlPfV)eckx?p15gBa(|2!Opp6vzdZ+iNqpJdQQK1k*Jg%yk^XSeT)O`WrsKP+
zFAf_@9a^e@3nT9BBJrT_L})-2%p#MQK;lIrr_S~U_~Ra`c{0A+#B@G3!#vLfowmaL
z<2&@b;7V5O&>769T9*@1<oj=0d2IOuvv<;n{DhsQo?iO~i*e?6{DP~so)3}rVWQ_@
zF$b$#r`XrS`;z<o7U7g*88Z!VD)Y;2lxXkQj93q{zE4xF9Nq};5Q<)V2h&A-`p5`x
zRSu~k>vhBGFCAw1v)297#qjNw(lHL$!qV(ZDqNL5N4p)K-)*3g4!bqiJmrTwySkn$
z!b$lb&Pu_??X0^`!}AqWrDE_TkE5IbEKOmyAPFDke_yc+UTX=wwikY(bmKe=EML9X
zXCHhlxUzXOY}WkWj3CU^5*<Yg$I5Yd3c&+`>d!X9ALn!o*<ssV;#XESV!tlso*?&|
z7XIk_G8}sKxE^WG<!xEq8&F?T-{li&uld}*U8^Wx>74f-M}HOFJf=^La!-HBzofre
zdzTHVV9Tp^&7H74=W4_zc#BS^d<PuFZOBOvmu&i!(+DRl>#CFc-*az$CmHXyM};lq
z{!LQ&Ldblm*!5gtC#>x3VOI_ZTwAK%0pBi5=r4v%ILB9o;6H5j>P4{bq>RUIxU}w9
zSr$B}AX2gq-ki=V{u1VU>2^#Ewyu+kdk%Z28QUL%qYmh8PJ-__Q{LGF|60H5c?ph-
zlRizp|5@4b&6nYz_xc~X;kMx?dWtZ|j<^t3cudyvrxI)tY|BFfGv2ZMu=EXo&mg=>
ziy7v76Mu9OKJKR4L&_h_3teu6b3~fhNPCCV4V&v>&bTlE3Rp|mfY%u|?Ub5WK!1PN
z-0|`jY;#Lt>MvZv{a=6?e1_^*;V<~=4SG%scx=?=$OL?JC*Qrxu+f0P`giz(Zzt;&
zSbt{``JWEu)MCH9bYUw$Q<W|_A~Al8K3ux<UtK4>>tz024cPi`X6R>lPwf?^i}2dT
zk?;msD9&$89#(RVF|39yZy#_`fR|l|FIT{hi5i-caMyIA@N0Oz?eF)4@V&>2dy8N$
zRkrv1@REM%Y!*EK<<(h1xUD2`DGeUy9;c>)JB^Daa^Zoy=WkKKh7b6pNPT}f>x;j;
z@b7mE3fBwaoRP-rNm$lkekvcn%-AD23?HLDc$wUvmsBMCcQ}r-f1naB^G@;Uf_Zl_
zYqY{qTIyyU@X_!2Us_=OPsVMHFwaenFfzX8GnPgba7ld#3p*T_baA>4P7cVLk%H^*
zOczwaS7HSn$b2e)O)pRivrX~;AnW;*wH$Q`y!0yUsscRLr0<XeGuH&isKMHiwnJHP
z9rr)pGq90a(1jGZwQWl40!&>LTlE~aF4ON+hp*3;NJPW7ysDe^V4Y7NlAglS^MPTS
z@aImhNe@{3kafKwoSH3UbQeDHT&{`K7e04M`Z}y6W*(^lr&FA-y8#E+XZ-*Be|R?i
zR)C$)e;<}dd52EPT}8M_c3|o#tWkT4bu0YT?2!;D=el^wcMGhZ6ec1IXF1<DUjK^U
z10G0UQG!{OlUi0`QP(%$Nq@ZLeSLBcHr-^n{VZ(l+?e|Z{(4vU|KEQ&>tFD9SgLhe
zle9lhm1%7Nera&MgS5XTL(t|cd|R7>nY1UeNwT*C-o@zfn6#f(*;V)*ym54~j<o-y
z)x9UB@P_c;4Wz!3MuB4{tR!i((FCq2c{iL6n+F+eBK6;uZIAPVe+zw(zY2Q~@Nd2c
z8*?iE|MNbhWh|;N-K+U<(tn+)uM*C{P0tvfoP%{%yWEe#`+O^mN&By|eqcBb=P(YL
zlJS=>{xvEBS1Trn9f#Qj+nhyV>9`}=$6)E|;URvw-XZ^_2)s8Wl}ZR!qSLGphQC=B
z+48~-$*lMJ;I$7S>pNiMeK+aI{@|1D87d6BMLad3ga1~|$%w&n6XOFU{%-RB`S}q1
z)b6bP66X5>bC<~@@Qqtfrb+yd)v)o9gFR9eUeCfgx%-(<!Iw@3A0hGQ46VTb+k48X
z<Kqwb(({;iXHmYnY@6~hthVd%d2KjbOY3VJY-O=xqX%oB3)Sv`vzh*^U4h#^-j*lp
z`QhZ@kCt%l$%|Dl;M9Z@he>%6<IkYyaE)t6wFz9>Q_YkFf8g(y)Q1N-3_G5}f0=A6
z4B*N?G=>rI#HuR;xnIL8>4Fd71z);n3h;r?k5hx->D!y=$av6X9=_=VbFqg<o`CCZ
zg=W0qO;iyZN&iHTvZ-0ZTGkx7N8#IzERE*y?yqb+#NkDWgx^Xq3r&~KVVG%qww)r}
zaipzgAIzivmr4qLofiF_)UQtL^E?dyn@Dsd^MgC%w(5R3bt}aNazE!En0`0_&sNez
zko)~~{9lMLTw!-bKoP!|H^3wUZ+mD_NcwvhokPb?n7Zb@!g*Nkk@Ob<_?KUkxiMUk
zQT2=){z)M)Px@2rRAA%|m}^yHy90cOkNz?Ty!VYyx+A>%V}m{yoHG5mfz0=VmI?wa
zaK-eXzCTRMPtC^$hg_Mt`vflcvma%E^O9wlp20@B8rPWM(nQ7hB$(;#>wVPlfX%~w
z$uOl$<O>>jr9JZfOE_WglEc~t>?a~UXS3n&F0C``u+G|0e-V7+i};%b_)eG5jS_ev
zkM8IaT)kbKq5^*PHQuclj)>2)YlIK8>MxeS9+q!6ka!S8bwDEl7B!*E{ssrzd$z{G
z0p<(bUtp>`QGf5iBP%;JNj&Mhd)VFs-t<Fqgv1-E5=ZG<aP)?Qj^E)$HI@<=_>-10
z%>;Z}?2M-^yn9U{{1-f~F|=w2>%7$!BJpi^7iX;{?EXumU>=Ttr&3`9@0z{+l@{@m
zpUxrhD%^L~-i#g=|Ci`%4o@e?+}{rWq^tVxGJIP9(Ka4<evn_`8qCBtWGo9COh__Z
zg44Y^rcS~qA3UQph1ZVlIbs4cJbqfI4|iYYsxgJTW~@$;>uJSn-M#}SwHt2IfuB{L
zrYHNw`;~crU6^rBH`*T-^8ayO9iE9lEfNS1oxI(s0Xxg;m4?EZKF#hs;dPrJX0jjY
z>0emh1%Kd8P9Xc0i&wzlA{EI85^(JWoTj&Ev<xfPCNJc}AL1gW#$cP<oUFyLqTssq
z1bjC0P|AC_GVjB|AMh*tpOR$%E!2wIKLR)E3Fv%*3sSY`dts}qZ9}avU-esuemI3^
z*0~3MQR;lWlYBlqeq$f3{qW@BZ?J!Q_a1V7P*Is)ZGo%Z{fegH^$$GG9q>)90h>)Y
zZ)`O#muZ6IgaVft;G`n~M@jw5i`6@L;qg#@iaNM}!TRM6__p)U<$73RTUzr0c=WMr
zWfh!w{fv<WZ0;-bt`_bs@bf+ee>bV|ErYH86W($fR=DEtQ32aDnI6)DODSoTU&GAl
zl$F|W@_*N=-@r}#c50IIooQHKP##?R@XeqxeD>yX`U3cYXP1K|tZtao`~t4Au%)zy
z57*J3%Yw6NL&6+j7eg2J6j=DMz%D0JU%&ZrDl9;ukbehm3_GSD2M^AFk@J8b^M`ce
zr@rzzu|Hq@VMVGxaZ&J8riXDLJiSYa=PAs7HeogtHY=fg5di-c$YzRw?S0Sfxex#P
z^*KHkPIO->a)r6Ao8BbA|NfpjbQ>PhpZPBXE@{1^p%2@3mU-vEq6dna4B#84Lu@5*
zGrPhiH8|}`{((|hhZn7Y&Dg$GRKcgeNr)eUzsUZv{0NI==w(U46s_DV&G6KARi_`6
zcs`LX^&Eg(rBxOO;b4QHsZO{$HqoyIHmmHV>xTENWY9OmygOeye}U^wzBYe=UDcX4
zw85g|)cRGh{UxchZ{X|g^^fb}hAZsl<bKcOj6L}XZ_v+)PJ?9(Q(MUO`r?C`Q{fHa
z`I?{M7Xy0kq<^$WtsZp3cd`!tj)w2#IBn^G74<1Eg~4O{zIu(or<*cPJ%R@ldo~Wk
zv579ZWPDhCB%J49hqo+|zVK|)fu%pNVbS0QcUW0(+jB<rM=HZ!L-KqPC&wtn0N0NE
ztGfXUubztHh8=%i&mr@N>nUICHuy{|YY=%}s9(!%-wAK6{jf@&C&W^Nx_RN)!s}hi
z@K_@&n-DCtlkYzzxQ)I$W*7WmEGj|_KEGMJT?BSgSEdt%^A2qu6o3U%Lf_NDwFh0f
z#NaJeCnag&*!g|wg77H|Jsq;Xhip1;^1!MoX+yp64!aMFoG?cS=l*JVGvDp<&G2uF
z%cV8&-2jhT(%uw<mB<3PH}KfQjqqHstY8tm|BF1!2Dq%9;W0UnH=bJix{Utf<x=G%
z=k@!`+xr*bDAmE`SU94rH}yAsduUrgJp6axtjH8B(ePs~5>~!aJVVA~uPcYo6F5_(
z#c>FJsWUJg0&iY6+SmrWB^_Z1gCp0y{J+4;@77)J!|ok?hZEuI>oFfl`N*x|yd-$^
z)mOb3IEk5k(|!1d&oo6M%<a<b7X&w^?+?p>>y$@(?P14me(7vj)b)wJBg{5v(m>jq
z_h)j<6n^5YJn|YIx_|n*3Cy!Xt@#T6<f~Y%3Tuj%E*HXCazEtMV8-^f;4=8IV||n)
zeB<h)gH>?mf)U#x_{~&%O+8#cm$Ge~0?#YwvP;PG7XJum!~}eSbNLK;9@{V@o&O2W
zdiLzjPk6K{?mz=9zxH$U49slI!TuapE9+=lgx_tbeUeB%U+jB=#OtF9<-(z`c6q4Q
zANcWxT*Z5EVb^#iX)muE+ua9nznslsGM<9@`t*UYYMqq_>CfYIdGh4*@uK6iWIs#K
zlu~^NpR<>3@`OKC`gldcG3=%CWPfzHP8}Eq2S;w^CC^KRDrYL9;ZC=}M>cTAzq*f4
z;B~1!YXg|~88zkq@7F-9Uk^@ySLGXz@-wUJ|7pN+8<yXu!Dbl_<>%qyKKtrqc)N35
zG}+%pf5xx8gcVGsH_O1k<MlmXz^f02-4DT69;8o~!ttlxno7V_Glq_DVA(K>mOU`9
zV(bv<-@d5>CA;BVO*M-;`0BOZ-MlabyZkOKjMt%GgAG)0ze9HNMcB+CT6!7hm1|Cc
ze|_O66l1@pVV0SJTRyOBRI2_@xL;<xuNThSQgEgd?hSrt&<_tfPxbV}7ZQaW=&+u8
z!rQi!^Oa)%$$1)Byfrr9GrW7>$5=jC=XUkLCph9z=guAQ!)GDqDq&%-blv~Q5BHN5
z<!}~PVK-U-60{5l$aye_$%}O#ywA2ck(?JV9tnyRg{jSbHk0$@$1fU92Vol>F>i9-
zeDpw1LlS0xv-tZte7AXfpfo%t5obcqtM)uQ8IQqNDXg2H!aX!S3i5E~I-|l9c*9U%
z?MZm<*tgsec*-eaO&QKEcM*69pC5|wQi2=IltRh*xr|r&^*MOOad3k#Y|N{8;w(Jo
zmt%Ju)?J%+(1Ig*l!shlhKMoO3-H;xAMY(-D(T=?WdGZe=ptzjZ|(Ii)`7qJvomYM
z+)6yZFT*8?X`Y(!9T$dwdho^cfg_Tzd8}8J1}vGZR&x-3G~=tJ4(pk1J4l{4cidZL
zR)NzU@0OG2!^#U=*cIXXQS33?u;tN^-V<=;s*?zL-sBOUup#?rVWZi(*-rdE(5#y*
z0}C*2s+fiqvaN+leb3m|{Xb#a9_dK3AK#y6W*de_&6T;xe!V}t%c}>z_$yugBHaAZ
z?(a9aMj@e56Hd}j_4@&LUJ!oa1gCU$srSN?H+JrKgf|~fFKdHk?OS7fVd3MM&s*Tp
z<F$M~@bEiVmO7X@)%sx=9B5-RUjuXP&}DfHC$r03eFyJKJ64<tzitdFErIRFxurAU
zIvpdCT(~uBsGpq22Al#tU%;Vn-<sf$i^>-UE=?uD+;42?x?q)S*A(O6>*3Nt<h*(F
z)$#lY_@v#9%6?d)H)wY_Y}<QGu@B~pFbNBS51ClFkH7^gIn?)Iqt<_3KVW6~OM@;j
z1MjZa6Y!NIX%}z7c^^2Hhv4tmzPkJeU*EUq?l1U8)2@j#@cP-8;REnmL4zI*?6Lml
z(pT8z)}2vWSj))Xv>hH!6{wo;z~4_A`-?TgMiou!i|~Ga%ba>xB0Zt(H+<)@r%M%l
zrCsU2894KW`9IPhMR}ZWe!>x=Yi{Ix_gHn$(?76d-@k=GSkli>bOnw~r>*dUD|rV?
zR$<jiDp@i<TWi_X$o)zEV>K~>_p?%ZF~Y-pDEm#}H`+&8+2MD?t7+uCmw7ECfdgKD
z#wJSE!&7rRW@b3eo#mY>Eajpo!U8+nNXU`-e6ffjiVju}m7te{DNAk$Zh}+7?`$UX
zwd~8{I%#jiCf~2*d{`!?{a_h>%-?xqFC6zS^FbMWLwDf_KU`S9w!Iv_b6292oOd?X
zz7Hsd^Z7M>$$4mLgqh<t%$5*FOU@q~zc%^g!Wnrb&CGBQ0~bpke0|Gnb8_AY8$ZM1
z3~PRJi6iHcsL#~Cj<D23)h-6OTeWJ&8m4EXo1lX2Gig1p!}8e|7FQ5oFGeg#slon}
z$rXR$>aIgo|G^Zx9G}Vg!(o!gZ7&>}<@|)44_nzU(u%=PAAI8`=Mnj61}6d7OG9S3
z2hQs_LA4vU4M?@<hJRi7dy@w)c*7vs3fm^`T;+v*RNM;5dDxY$(~2Dy9vi${2Xi^E
zEpWh}8?~s&`F6HH{~9x#acfURG5k65uLleKJ|bmX5iB8-K1m029CCY+0t***&@#ed
zK@<m);q6ZXoHoEgJ31@EVDXmZ5E|G#$4v1tTt2P2y4sHQ!{d6$5}r0YS4NHUn~qh-
z&0rpf)Te(@e&0*e{s!zB{fhAqoHi8WY7I9H(El8S@0AGVI>20NTMY)_K&cN0$$6>h
zRoTZ*xIRzS$_>tbUUj?!R<0PEbb<4nY%?0+Kci-XUa;<OJDvu3%70_J2V5b>cfSgz
z(RJ_hhq?Fju2#V82MUJCe%d4M@--LURm;!w0N&^5pq2y6uD*>Y=eK}kyI!Zl)iOdI
zr2XL=xx`XnXPPoS(tcH`4^Ly@JJY)!J%hOeN*SZ!hBL*iPvK*NR&I}Btv>cM<ox()
zO@HzctokXvF`j&$W|KhxY(Pu3F&%zxvC!xTXF3Zqknspw*UE5$$K4#|v*5Ysay*W3
z`CPb4Cfw~1zhDB(RdnCYgZ1?Nt**dcGy|OEdTrt7taih{tqKOo_dScevLFP9Q)yg_
zgQ<*}ukC<k+Jz59!lF(*vwSc|Rb5^<>>%~=GAB&2@wt02OlQ>cYa2|Xa)yHR&oOp)
z{VnjvrLULBc(F>lQ?kP*x(^0z;aY3Kn~d<g*zG5E;q34gb{2S)qo-0EUQti-p@X%j
z&3DSeYxgefWr7)e4=101|5eXLZG>GS$Bu}>ANVt0(ZY@<6{UOOlsGlM^){?uE9dju
z;ncFpqf{t=ctfXk8*FpyLFy99X>FLz>EK*F-traLC4F(62DUn1y6-QX8~y6;JkDb?
ze~v0I!0KC4sOI2Iq4t6)n2C*jZyWq}Z}cdsug$SFwH-b(K<Ty$-#iqw;T_E9`HPQy
z|CJ4QJ<8x7Hm$r(u(o<?YAk&F+KVC5Usm)%{N()U5XNzf3;tKgTtv>hER=g6@xb-G
zlM;{MBbt%?Wc-eB@`T)iS;aU$ionO!rZ>65dPctblCbiGR-6UQQ)=rV1$Q(GY`22F
zwhmCs!bTET%=f^>w!baTz+HTLe+A%`%^|PE;eub(W!!M#c()9>-tXgYYPZ4jlvCSw
z!JL`Yt2^Nh(MiE%esBueGL!oK>ouoH`}am=o+j7(d)Bq+ADlhv{*9Dxl;{7}4Bz{%
zmCOo1)vz}E0{dz5XKjJgI9=o`;I;(HTXZnDcWGlKtd`vEK@A%`tx10cGoPwZU0v5N
z&%d-mDj%M1+|juRAKLiv&QsVXo;h(E&bFwbkA`=~-a9e|iy5EYXA8eI^QRnykIuNi
zwu2RmA~yBGzwfz+8^h8qv2E=zgI(%Q6S#&}RId$oV%Ysq5B?r1CC~udZaTBw0Jh*U
z6sv=E`%llQ!UGF7^X0J1(W_o+@awIK>+j&#MuvvcaKOoux<Z(8tMkv}aM1YDmpnKn
z(7I|boNK`un+fwpd7Kx63!a;$rosD+?e}uSq7L_M<KdnUo<%(HX2bCKNASdo;A(9v
zeorY;ZGQrv=-{=hfmupQ`yycV6ZHQTz&Cr%+2Y_D?e+J0aM@5NZ#2ANZv0sy?AYpd
z@j0BN-p8B(U*9G1H4#2)s_7mDM}4<aAoqK6;lR~!IHiC4$6VNYe_Bfr%#-(OwFLfZ
z7NU3`7LmK`T?~)V(dK)>)9<E>-^1M>Cxkp<s@~`mW$>qV)9_pH<+pihO>l}Nzq=!x
zcV9=W5#E0_dd!;C?>3I=h5M|}v{=BIy6fCMFm+|MtTFtP>!05*IN9;4&?R_9DU4wP
zw)ov2rU~=AdO81tx16=TtpO_<Q$3!AqpfrpcfhG<o*RzCSC@mI@WBdi<OhGk-)U%R
zIN@uo!!HKl!OSC%x54h60pk5|V|MQPX1J`w=}|4LATONE2K(d*vDd(d>S9?KVXKA<
zn_}QSeGE;kutmVbd$DlT{1amynCs0RbuwO3JD&gIh52bs>LX#hL~#!x*m`I_;vpQP
zeuQBU>{_{xg^d3z*_v2!SX1p?w?BN<>7$4wZ1iSEI}lcB(taxqd**KZ<w8Ec?LwOj
zT-GFM?gsyj7&KFYsZJD0*u#%9x@MK(y%U2k9pIu+%X{kZ{08G&)^L-U5z7U5O(AgB
z2L9wR^;{qRqvz^x2)}vUP)horQZ<Ik2o~C8bj}PGR$^|{g8z9be=~;zO4O@#;pYoh
z>n`vakJk^>Vb5HRAU8Ois*COdT$TNU*9We1JkhEO)Bmo`@P)qw=$%u8x9jSicmO-4
z7H?C4Yxs_Rd<aXaeF-}ar~j$fC-e6-o2bzVxbRf^$P>6wRiR4;zUg(`mCXOWWs%RN
z;C3B0>gS}s@5>!WU?a-(s2A||<mI3HVZO_E1hQbMYW{u+nDtnSN*QdLWu74dmv`Q3
zdk-7Zx(SNHVswn=AK|{}*Hiqk@c!=EI@rRm&QcIItGjvc3w*qG!yz6x*ZDY08>}JE
zlEVwvx;H=XfoGFl6`0_#e8bXy*tW^Dj2Yh2H+%LcygOTbbaG9<e0N8;`xKm3A!70y
z=6m9}c>!*fv77IMPwKS@EyKR+rgj7Hqm$OJsSr;tPJ7(F4%0o~W3UbGs+L*00pGgZ
zFu4<+u~dFw1Pi=L*(eC_{Iy1F3|Bro6Gh?`yT;6clW@q_#%f8}@yD(9LvZV&c;!64
z&wO)mycq0o)cfor-0oF*U=JLt=M~Wh+kPKd;)5%s8+H!BL4xN!cEG&9`5tz{a&tFT
zIbiRhYg}D$b<mF{Hn{ImiC;4u)j;!<5%znw#6tShi*5NiJ^VO4=2tmfkS1`05|&u%
zyj2M^>OKFnzKZyyv}gD=e9iFly9K!Iy^(Dx%w(deFb{`PXZPm88#{A4hv9-r#=nK|
zK33UFL$I*D{uMGGI()AS_rRuu-oLWp6YP{(-{A2}pY>AV?&<gKui<|(r~O{Sd)==Z
zl)w#s5B`w(X5|vTI~R`gkH4D&kLbw0$c7(%9G!@Pcf3zL83)IduTmz!uMO$dqTv*~
z`#og7FJ#EEhrus%9+*FZ8}2PX3x%n=zO?zn<_d?d1;UP^Etdn~{~Z2|`@_rsu{V0c
zs)+{*J>cGaW?gUi&-ORv?r`Lja7jDZKYHc9BV4H;@Xj8V8~(7x0bb$#wATuj?O^P-
zf)oCh6q0zY?~^lP4tMfMKO*sArgk~^GW_M70JkBmyPo;h5I+1VaqbL!FJi?{6Ase3
z=lLIe>00zQb=WCN_M;>$E57hu8Q$`N`{E(kEhXDg0shI^{A@eCmdtkYINUpyx|_t)
zip~lXNw{>3s_^F*JP*8**|!&NlWaLT4pWXuDhk3eBDsG*z>hlKZsvja8{YD$g9C#;
zCvw6X;#?ncV9Q)no6YcD>TepaU;{x97e;vc*D0|C_-Qnk!bZ52cdaN9-uLv>c}h4=
z_iE@PxXR=Q*V2l9x$H0(&tte{j7w-9wsp8O?+KSvS4>aBod)~7yx|=j)T`sLoy<c6
zJJ`fG@56UE-RtOxJ^Yh*V_QG`swlGj3hdEW9M=hd&_1qa3Ud~Z2zJ1Frz}hK;a9Ci
z=L_MTV@=<U;Zg^ex+2(O@VS#E{AE=zJR5%McaXvwmfttTlnWmjqYHC@M@1x_$HTMC
zyy?#HtY&g#5=`Gv*XR#F8kW2A40fSDuNw%{R4smsCgo|nCqm)mhTXP7F#DV!MFecA
z(>WFl54~P_91EK@n-}=PZcWa-@vy}>$9_Nf$?Cb>H27V$Xq6M(PkFQ^6aF34cH$O%
zSd&FJA6A&urM(IFDtLY`fMXTbJ#FE86#7o@;Czj{Y8G&#bIp1gy#EM)jU`+g8~>P$
zKjmz6$Q3x_87(gv|0pvVdQ<qX==Yo!SfJ@ut3G@^M@hOBZfH?IYY5Z7*wxq#GmX6G
z)P%VTy>)uwDi_00EtrnmXnYthI96+L7EXUr>NpDDG%#*I2an#4qMe2r>#F0G;4NV@
zp)+u1^xR`r`1$LMVk*q%x2@`z<YDP8l&3br;l86Cr{D)>y=~-tp=c?SC{5}sNL*%y
znKD|opMcM8WS-@KFDo;g=7!C$9_A+JixW3P-|@inui3MA!@RA$7Z_oKeUB^uf4)eI
zt!IL_q}ppqpxnTl$9VOhe)*k>eoM0cc5R64T7xfMs#rMzzc8o2QUmL7lvk1SL&F}+
zZ?&+hU8*)YKfK^)-jE6>1oz$5hLtAX1t!DM=jJBP!aT+Xc|Neh<xy5m*hzrrm^a+{
zd)ZSB)?v%Las_UjOHC)|x0_#leqM$-w2IkP;g#`5_w#UJvAqb1AEV}f=hWd3b*690
z_3Sy%Y958hg8TLKV29pqCQ`6L?czZdxL5tS*gm+dyYd~mUR6kG@n-lx`Rk|RFdn?8
z_IlI8TS^2Q$o$moKTJ;p=lmyfEDHWx#2GiYtY1DSasR((u&mYw&IQ<s*}p#t-u)~1
zP!`<SHdB}jd!4E-eE~nYJ;k36TUf{Bc*9dx`d>)AX^H)L*bAQAbMYjZ|9<<P*W1FE
z)x|E5`9BrDc;P0@cwXQ=i8t>fb$HF;+`a&n=WvC3Uh*|Ku;Xqaxu4u>)|;2$bGQ3t
zV_=qZ?RWIy5$3vWL9iQ#jLHT0<`%)EV0fv`sqZZ8y14q2#GB{WsMxe&ft@LrNj%cE
z^pPXwLaUmSGVp#OW(GxKpA6@daNCI2V+DBUrDs15!xikCFCB-kEsoh7g$wrt3>||*
z>btrQz-4uuITED4yP&BAytqH|usH0g!rHtCzOYRtk`w0I@YQ-Bd?37)mjm9YTm4lK
z{x6V4Wo`-k?S==dd*LRfR_T7&f}Z1YW()qk;uVAKC@eVtw>=%UDD>nQfH%q6%-?}S
zl#<nc!i`~PuDipYarRc<VUx$-cIv~2kKT(PhbO~}qjX_2YJ;*NSmlAD+F^J$&G64J
zI97I7<sq2E-t#`W-lvRDblmXWb;tM9aIQwO2Nz7ec(IRMZ^ik*!G&hD|KSnVKX6ea
zZRQ;O?i#lSxnC&(c9vJLXpc4zX;1m4BhT_+f!Sfv9(b^C&LI)r@>Y1E6<!nAx|#%k
zx>!xq0)IH$)Da3x*fD<j2;Z9?x*P^G)(+@>fW0~^8t%hawM2KnhZ!EVY6TPj+nDtZ
zzG9nG=>uPT7^{#4b9Yy_`N7QQp7k%_w3RsdyKuEtQ{;2FFFWaz2kaeQv?B>_sJngS
z7HqvmyD$_U5q45_gDY*6WgfvizW){35l{YX^??6o9Q^1AXS)9|xC^@~(@WXFKdJm@
zufwcTeM&cBo$C8;Ht-+TynOtPwH!qsuY&@tX0mko1{~*n_@6v{Rlly`8hmrx>p$Dz
zv3<!d*Wqr?2iDuk=Nmg2oZ*sbcB)Nq{xc<BSNMK`>U}ym^*+meTiCdV^Vjc1{c__S
z9D+`8qQh6y8Q4twZ1Ej9mg!;5SJ?6VehqJ!;pS<XZ}6nC`4H(}b#d#eTX4Rz+nHFn
z&-$;lD_osX+M5C^8y{-1fRB0Kn@Wduf9C0#!#8tJ86?12f)aj8F!!EB_f(krc{#Hp
z9JR+_j9l-;#9Hzp_{)diOQinZn5caR;R~D6&7Qy}UR(9I!m*oU{NrF+RjU?O_`jDU
z+tXl=suz;~7WB(Messux0jp>(Wvsx?vgJwzaJ>RQ!w~FJCemL5KaRcTJq&X&x!700
zvOYFvdtvsVu;og)%`&UH4;E1P{-7S75zNtVg2y?T<C@^}MPn_W;T<!VBsyW6@pj2#
z_=S;oT{rA_nkKUZF5A*(I0R=;EIQ`G&H-PChT&HZ4XfF3)($_7UfA+hno%UoCE+qQ
z2%lmL7!8MKH3YP~;EUg`sJO$!E|Zg_zG9Tq`#bO!kJDZw@b>*@wXVa{j7*_putS7?
z!ws1K&^5tXxL+4X0$6cW;pHEgB}eC;CA{y=-!B`np5sp*QojP9&urGGfo=E8elUTl
zv_+<vVds+*h8N(6%pI#N@a?Zttruan?gOFQ;aT1Hacc0Z=M-E#u=-v6=??s*OaG-H
z%zsns#R>T1shLt?__3@yzbriQ^uP1s@OU=cq!jEby|q&Uj^D&|^$7fL`MQ-fyuUke
zNeJG<HsvY<cMRON-2-RNoncaf-%3tUZ-bo*N_kY_lixesx!{>1u3QcHM^kv(;yljV
zh4oE3aBX^t_yWw|Zgu=TENXA@Zwi*-W2{n#yJA9pC*i`QnFmzh1K$+R55r%dC>4|I
zCu-S${Q-x+{2?F@PtgcJ?}p#;-+pll=5Ey&`v#Yab8aK|Z@S2`&;l>K&4@n^dnDYW
z{|uk?=y%ym>hmbH)xzvnHWXs;K@KX368Lk`W!Vmlm(cRizZ_Wk^k5B{Z=;n`yE5VM
zy+>RMVeJZ`Ux{!}+N<><c%P-WQv&Rqs%Vo9r%lf_7{SpM?rCq}HBNi&OK?WfCN>g}
z^Zs4hr3H&o7)9s9$`1XR7vbl>$7#uW60C1@QiE@vKNj*5e*dv2Kn3P(SGS0U=bT$E
z%E6z*p8k%3i}|;>NyBcOm5C%?`cG_Clq9a*AmR>tGGsQ1!%u92BOG84m7J%0;CYEU
z9ul9tOVk8};YVN814;a}^fvNkh9{dQcKnZ{`;N!*d*c9}RaQnqXxMvYCqxk;85J2J
zBZ;V}>{7Byib&bzt1?0;D>K=$6``ceLL?Nw&-wlNex3Wd#~If-=ei#c5^p!U6|XSE
zI!B!gNWAm?ktO_d5%HJfUmJ<vh82s6v#^nb@2N1D@7dJpaoCGJZXz6xp^_h(fM@Qp
z1>A#Awr=tI0GDcLM&5^IJIp3O!m)#Ic9M8wUFoZp0P~%0KmHufYqe;Ohi#b+YRUW+
z<F_gi1fLk9vmo&;Ao*KS06ezkdL4;xVcWtuoZ#x;Tqnr<Ms0jG)d9|W75z2=&X41z
zFo3=C)=!Y@z5XH;c?j<Ocd?$_&sB;|$F*R=2-U;!uu~H2$Ua!FGp8g9{wurqTp4Ee
z_Rx%mi?-7!D!~-5KWB%+JA|gzrC{Cj$@1j+GwC?DO2AK&uQFbN70yr%^TS78DaVld
zT(aMFh7Ybx%Umb(hm8`G0vG)2{fV0w;E#baZ#ZFv;)eM%@XiL_aAx@Ds<+Qs_=ue@
z8xu@FI68I;_S(63hz2%Nx#i{v-?56Fr-Zpvopj9LA<w9al?BVHQ7hV(qi`8}weB+f
zaP*>zAv~W_v1JbaSHxO*7<P$WO#BH)tN2Ukz!Qgl{Og77tyL=z!52*B!+PMhv*{9A
z@b9VJX0346M(Kk6@Fs2lPtEWe%l)0IaD-{V(^}ZCh9_e$%(K!WR|A*6yT&RH|BC5s
z$cLW@UE8SytGi2><-vpJ#v-KP#6L1SpTdWDPO{3t%<5e+&tS&zl_$#Z;b$!i(eV0>
z!zyYpd!du-J@`)JRI@g$SZ}Qu0XuOYGd&1*Tm5<-3HQJIHD(0+?;P{K4(~}i;bsg^
zYWPgufMZ_%S+{`sUmIWZg8wL#Fj~VaSBHLk!vbedq>}ok*8O@|0WLjQ(n;FW?XGvf
z9Bg@lZJ!H#It0JS3ICl4G9c}jOVRv?7ar8?e?{7l>C?8KOTRGRWIR0X3SU`pbzFuW
zM|37hf9NdzTKWpUWc`$zjKAxz@^y;g_pVDf$@*mHnLw6Y_z>^x|NGmNyP$9u96J^{
z=8W={t&L?5;k8fhbEH2-uV)-gfaQitZ0zCM*M@^(us}-q8S*^4dgM-r!aqm5daPiZ
z(VTbZVApSFPTRq2Y-y(MFn>vYmpRP(hx_GG_|N-YPNaSo)p#__;QZZA9i;#5^sDLG
z4_gM$3?7HKpD)$ZhJQpo^R$JBm5&a|!!5!5{-i!Mdvwec;j-LeW>Q~|1v|$D;nzBc
zc+SB`&s5k5!)wu-UXbUv)KdG!4%0Q;my+?NC&lN&31=ws83n^bF(2iaVYiBgF0x)t
zqpQedflH#pPTzv*_|9LTg>NNF&fJC{@tS<6gCqN=ug1ZV+ByEq^OjX<Z^dqrc;ZCg
zv*{1)w%z3qi3hfWH#&d9m!sGJAMc#z@@;;=bzjsbNj!MG$5Hef{MfzSBNA>+ihKDL
zzEH+6Nbc{bwL#z@EMSvhe*;crzD_p)2maUH>IaW7&L%g(D_=kNllAo6oUC{weC#5R
z4tf3(*@=ZJn2+UA(`C5NQRZqTO#iS;iL8g0xhC~r!LJV+m6QItGfA<x2$t&#5heXI
zxnVvv2Y#EhnnU`>+(V7FOgOKt>!dE+@s%zi1%7;M|5rU&;!di|eYiy``vW7qnj9j3
z8-7>DYRd#uf0}s{3DaIa&`bj>29zE3gCn9g^wPr2z6Oo{@E*<gXISCgd(tY+U{+2C
zYA$lT;x2__@D>K82Yj%eePg3GJfu>VE(q_S*3vi#zc;v}MB+nS>8CD5SY|tomMknv
zeMC<g<}~`)tpYRY41E%Ye^qG?llY^jc*s-~ZeZoSs12uVX#UO#Gm4xGAkTX)UdEaW
zZjIAnHHME~nG|M)zek>pGl88S7(Utp?{+*OZV5j#E|#T)bp&oG*uYYpTQaC%Z*H3g
zC-~cmbE?1Q5Fh-aI!S#u*4O4Pz%6%OoXLFalyCK+3m$KM<V)I5)v{yuJ*=7b*_4dm
z%3FSA4e-j1FMX%s^$kXss$mL+umuwDauw;dO5l6PuK8%d-;O-CD2DelRhf|b(Hn9S
z$b}zAzwDKUhdoqYWWy`f9s7mh8m4OPMEGdUb3-xsaYy3&hp^e6cdvQj<(neT5pXeO
zRE+@4<HtB32A`^YD$N7`i0dl93QzHcyxa~mu^o7N5f06@zuMl8@8hjoeDZ@g6h^ML
z!fv0rKA(lPGJ{e*;ED_?4lnqqQ4Y^JQf|T6=>`|Zv8fz@bvGy_Il@(TU&^)NUMA<(
zljQg>67KwPZg<jy<FI+!uQ>tOMR1|P7%p>DOs9akXjNnN;6~ox!c?%Pk9W2Xyz?E~
z`dl00QE~NUb@<+3+x1^C$AvK}HMr--;Ll08M@XSv9&XFO=QR!c%Gg-R!Mw*)Mn>UX
zmbt>>@RNtePGj)t{J{cIc*9=njzM_IR5p+o-i)8C9fChDIneKd1LfIjdf?CsrZgt_
z<hV_9KYZYxfz)QWqsdwMJ$$A({SP(#M1ZEe11{+QdV>m9q}(jp2zOu9FkYQSKKa6b
z*-h}{(U8GqSpRU&wi-A)QSIUc{71Z#?=8GX?e_Y2xYD5Sb~!9zIoUJ}Z!9^r<qiB(
zhKjup{@Z)$VFdiTF6s~|ugdw!9u6lN=$smab8Q!AF2l2V@8Z6~f}Us3T!R0}@d=E=
z$0E-4xWk(alFg^!;GLh1-QbnVk%L2UY}MlSU9jWBn_GI}tM&eAyzumCbBQjvGv42a
z8CH2jwbTU1t^fPS0^g>-aJ>=stN43{7Ji${d!!m>QTO>l2Xi^a4phQ|OP4Gu;C(lB
zGGCF;NBtP0gl~nvkuQdaw5Rk}TJe6D@4|WxEV^LRz6z)72IyzNj4}Jn8{n;u1%ag8
zK%}Fy9#%T4$dC>Dmp5y?fy2ULE|$aArK5^v@a!&@4Q23k_u;ex*wl4SWf~4$s=xUR
zUgWcQI|=)x*3YNHRJ)?3Nc%}2O`b@CFX)*b`~&ZcO{u;G|2*aBy8-Pz8MRS868@Zg
zbJt&#Kh&eWb{_T?yE^p?rjbmcxd;n{2=Dj-E1!H=WDM&|NKcHx)ym?krm*Rikf_hF
z;~~C471+cg-tq&?-u|3Y6+Xxkd6Bfosfo0YqOjtX_Pz?ZpPtV}3fAW`cO=hyl7hQi
z5PtMGC-xCMq&+Yu4v$40<a-D&uy>g7!|KV_Gk4)Bd8J+f_^1DhPc*DSA+eta-b%%G
zFbp<Tj;!Af3rQDu-h{tw2$I_hb4zq22f{o@J{GgXA?ZF60q~Elt^AweBOLKdUa+B`
zKqeE+@KO85Mc7`QooyqWQ|D-W7M?0|j^6|qc5{9@1MB;mQ?0k){kD{q_X)Vrdzyg~
z<wLHVlos$^-+{}^D5vuZaNY;2SS3)e!FtsPf2qTLvmu^~u-ez}Kk?gjRXgWhY5u`0
z(hLq9u+hY|1R9*LS64uW38v|Nyn|dnh(|k}8D>{3%V&lq#*d%d1P5h&P-KN)X?uUB
zg<aj|8o6Mpx4}6Z;A?h_Mx?&to+tBC!X|eFzmWP2dz$ll?kC2l;gLyUm_@Nx;ukEC
z;1VbUhZoc>O~RK?U7_3!e|XpDIt`a`+>6@-vn_WieTB0elDYT7g7IIUjlnHJuX7K;
z-2MaJpI{5)YB?SFTl&QK5OMcF{b4v}??7QM93=W#{|L-Vv+(c(>{7sS(GE`W7<BG{
zyY_J{*~5BUzJKV1-{>ery24jwn=+c<;^XqnZg8tr=e8F3dY#c@FZj7s-q%`~`h>p7
zB{=qTk@;KrrL=QdAiOQu>1QGQK+?4K8k{@mc&Zrg+vQ;%0h?thN$0|H;kE;0{9K5V
zPkR9ye)ac=g@Z(!RZ`%FNYl&luxLSbRx0dCeV&1g&yXR51JSUXkuuw3ID<*8_%59E
z^>}6$Y|;Aq@HLpSWAlq#c;In*RWMw1L;Aogcrf6dfGd3V&f_)`ACk6Z#+`)^aMYiw
zgO7-8l(r(re>vv*4&LuFoN5hk2=!TOhmA7#-1+>&vPwQtpy(USw&f$mC@d3aa_A@A
z=(qf!6ZVQYW;_qe--==AhAYx;d?oSi;l3Sx&2SG5h09-9`{UvAHuzAnZS-cu!#h5Q
z&ECKk6-MzSzFy=Td0PonG6qR-!4H3)xcdtBUY^b6hP8K1QkB3HFZd1!z)Pto+w<Ua
zywUZ7@H4Yc>lbiP;YqpeaM-6ezmj2_7^yuZ-tTli;G7DpyV|vi!22eWs!zh#@|M5L
z!_f`Y3U;v6*lvF{IOXcwrXw)lvlqep;6-X-brX1gWt>9~=IN77QGufmhNT+9`$NM@
z72#i7S+DGcMbCT-k%BLsR9hwI`zp6VMht!-6{11zKjB%N!*2K>wRIUEoO2_eksRNq
z@?>ojd}vZti=2<@-xa@&u;;}zYdN^jYRz;J^?Bhr-(6MM+~R%vFL)ov&1_{@YwB3$
z7r1=qzma_~JFk%7XSmQmAcNd5v%#E3G5mCx>%1%+7`d~C^cM@Ao;7J$!g^Th1zf}H
z)g%mmE8LWy2m5p?SO~$lgWqj`3fl<x3haOre@&*4`Grj|F`oxEc=L=Q4ZbwHFMtg$
z)@_JNhXqs_7`DJp%r{pOV7j3EUOHGLKPBK1oVhjFkrp2Fww|~Lvv-QiZh$w*o_8bT
zCGq8kH)}JfpE=2XGM-{5vciAEMs;ddw_(;?hm2pa#X`QEKis0hetrsG6)P_afYr`@
zyfqH@zLvgC#{26N_bf)>R1<lYb1?0^@3$e?#AC|O3FbboSkMbc^G>Zf!;-23nmw@j
z-gMWKa1X}_Ln};8lQd%sKR(!%&<xLQH#=btk3YKSR134M>kV4KuAGs-s$s6JYr159
z{M!@Gp9VL)e`<Cdes&-xF9o)&wX7uZ?LVP*wosTQZCaPipT>{J(n4S_;l!7RU?Z~(
z_W(Hh_&Fs5SpLXRxGyZk)V!I@r$Uxbj$MGCq{T;*_)6QX6y*k|J<#7r;=9Zuy`>{;
zD8y334J+=Cp|*pUnOSKl;1kczzc+`e4Bm&5`6=wmjd){N;`Wa8KFl}IN4y;LU|+@_
z!4I&Lg%XoCtZ=^RbR}&1Pxj+pcyo&1WEI@oN*|&OH;TDQWy1b1m`!A0jg6dnPvP<6
z7w(ee_+7T4@$lharF#TnHCt->1en*s<v1UFs_)R}P#8Zb!p{X8`%O56!xj0xd7SX~
z&5`X_;TP4D{>*S{laOgJEM8~GzywEH)>rtz&)lv&{x^;JscWXjAErti-TfDSlXXkl
z3x1@q`tKLKaGERM8~&1e_SQW7K>gKrci5&X#9|VDvSnY&Irvt{>bG$?XKaAp8UD$<
z?d1r3zw6}f)9}AtF<Qeg^^=u9Ct(ADg3Wz!%kwLKb};?^Lh)|6_fL-L5m+Sk!|!G|
z+CjL-7;ee63u%I7KUZq%!Gj@TCN*$}qkQclSZ8?aNEJLZ+$^mH8_Mj<ehr`VSIyrK
z`;0g=7QwB%&V=oTO(J9O=fIA<o%HfB?Wm++HvC%8<&ro&w9#(%F|2v2<&Ok>zA$lf
z8mw&hyPX^6lJEWS0Pg*C)O0(1U6*(1K74(zzZe6&!fRK18{W60CyNo@lK5&Q0{-vg
za`0+1-j}`qmmLh>;XO?A5ANT`c_I)V?pxO#h5yStEp!RS+N|j-Tyim?<2<}4YlX2H
z-oUqzbOs(eqIIVQ?mX{P<_rt}wstOqdwo8Jo`l)flg7*8#&DWi3%I_!E$$)Q^}_3p
zF?_C{mMal<;1FX}fju=j)al`f-<S7k!V~J_rL^#JmyV4(Jalv6?ot!tck!B-BK&g~
z-_~VVa<J4%2A)-wujz%~4P28Gfo0n*wEN+70Z(H=_+Z*eo_BCSfclQ@u<FCWqy|_o
zMKzlnX13fwR|T_Qp!eAVd%N*OR>Oz#S>l=D@`UZD@?i6!Zw{N_FD!Cj^I_|2E7z!D
zp=8;zR5+8i&*<+I>d#kGJslqC`}S!Cj*WlwGy&%CfBSqMrn}uJ{s{KX=Knqor;3#K
zUx7UvnG3(d|81+X^o2S8yEi)oGi}VGwSeyr->&F|E9WyKPQZrOh6lP}1?h+Odhp!V
z&rh4-(V)Adhu~{mn(rE5FP>|qDzM%rz1S*Pvh#wPDm-{IK%f%tzci7#8_t{woh^pt
zb$i9+;d8|`K}GQ634{CMuvT2VVGjJHOP*5_R(i@jm<9J<d>SkOm-+5F5CbPqXw!<q
zXW!1ejD@*RcP7fh6@x2>Z@}_?{;A~rLak5VguuJDGAOFS|5-hY41npvJ{GIPpF5BK
z4TSqc&lntpm9`l-UV?)I6<c*-HIC&yS761lI(uW-e#_5|p74W{w?|E2$@u%1&%=_E
zJFZy5JN0jBpMkYSzbsq9VvX%WZg9#0N&$B`+2qx{13Y=D?#Vg0*TB-j3C^lJy5}-X
z7pW#|1E=}2m67&pSqNmcgOA23d<}<P=q!fJVV~=>PLc4`l_jGSu&c?nl^9rAyP3xX
z-d(-N|2}M?>T=5zrvKf<k_?-aE1l4XFN_D>OMzeQa92GHAMZ>rBmHmAOKy`6Jg|CH
zy#PM-(s^7Lw%c~axfX62<}ca@|G6SEUI%{`oZYBRKEFDUF$7O(r*!Rw!*s(%M&R9>
zI}0^n8R=}}IarnQ$~7hUZ2s}idAK!|d0rX*>NxJa3Y!_`y^(=4UGI$lg-y@v$n1tU
zhwuf^V7wZ4jjW2oCY#@`ZG;O0FS?1tPom6Ym|>xKx;^~x*@UI7tZ>RH32q_SdixFy
ze)#i|*Wb3oJSR&l1>heZy5>9KGTXyPCE+->b^#9fhrst9DR{2LDwY!tyyfev1h29U
z*)hYyT`beeaFV7=2Mhc-{mE7Qb6w4iCSyso@T;@Rl>6avDt9J&a(sGooId=#>FY-d
z`00%0Hbc0M%GH1hrjGoXeH8w5b&zv)67k8xPx?5F@3)8jg%xdBYEQy37h8@lz*ln~
zXxqW`C5CSo;j(SgA6(#?^uoI{u;WyLr7Qeev(W4pyl{#(=N7zg$SRba-~G*1iAdN@
zVswd|f75?kt72gFc}3gJxStrCrSfQ){cL?Z6PyzjZjt~u<<`22z*iZ|TVi2RMf(BL
z9ydD;?33ULZ<|Y6aH7ZY!3S_R9qsr1a6r?jXBzByvw+(GejP3UGX++6JQZmOU!ADD
z{uI7u$y|99W@x0R%!F;}<ylGpcKMoBSp{#>nAEn1w|UK~SHiDfecyB%&In_V{!C1t
zv)2ReU^8PHfz$u)-Ejd<cQ~ay2digoGVz5^n>{T03H$N)RQthBoxJ*g;5z-si`QZM
z0kekRuoB}XXA(c;EIwGT!=kwdAKr#-d^Zh{`K`NTC&L|>axv0lBj!W5o;i(p*h;o&
zh8lh}k;D5CF77Jh;D8(LLXW1yw=WLIZiP>rIs5i8teI#pwgVQj)Lka=PVLy$Odgm%
zN7j|Z!xBFVH9^>ulR25h%dW#brTnm)=<sX_ywvgVvKoB){X4-LxY;asQ59yU$jEMm
z=b0ZS1i=w{Nmt&&weq)kuED#<9$J$4-G3uQ`yM>L9xhDccjvHIeGDw;8$w$PD>|P0
z`2=QlIon+d;~n$)|KKXy(>mqw^q)SO7jT-o$R~3DcYbEj6~HGxY&RnJzm-WaxfEXW
z_%ENt>-$g21ju^Qx%Do89GoAs_w_s2jFsvpiO;mxU#Pdh2W7whCh_^{{@tD3Fz-Z8
z4T;YuzpR+`!U5UuO}yc)=dM(?!V8r*wvl+G-`3Me%ENN?!$~}I4zxZw4F9@Ce@q=V
zt)LwlfiF<By(RG}zWa{X1T1ww>@JB<ukWk;o`mn+IYg-f^KY$+_ys5QueFl+biv$-
zk>qOzEh;ofd|FqVNhSFj#TlMnUikWb$tN4IzW&J4eUQYX_P8PyI+(7s`57HNr*XN0
z<ePkxeYhFmFcwNv4w(J7MZi49qX<iCFIm6KKKeUD#xGTY<XMuR;mNySG6i3vcri`#
zWdk3T#L0N~rdPWr1#iq~TKozx4U|&Kz)r``IDdoL4fW!c;g;^D-9vC<O6@k1ufgwz
zvVDg0Hw<g(!{1hlhx*~>2=iL9|L}kQqjCT~vg_isHB8y=8rcQ^9v*im`=z$M>Yw`H
zZq9oWS727-?5FK;cr8ti53Do$pA`B0H)=N%lHU}aKYnTyt|**uFNY6Y$T~pokEwUl
zaw}Z${1+3sKl?kuz9e5!l)73#%Cl$QERuZdrCkz%q`dXTp3Bs5_Jf<Y<o?}T4O7|S
z-4og3A7IM*IzCP~UwtFvAZ)?euP+LZ+Y0oN`?o)MxJ3+3JkX}w1INqs*~!8F+~2me
z!rmi#Ur7Go^7W|eZSaI_*Cn#w|I3tSR1YUQX#G)#75^Qqd<X0BwA?xf^WM5R^&gy9
zZgY?1544UmSU-jLFHZ^|gQuKW=i}j%l!;;%@TSi6QweasrT7~=*vI$LpD;L!qNU0K
z_74+269K>RwmL@g-DQoe>ppN`>5RDt9PJb5;RhS)2Tqgx`3vrwsu$tK?rL`*IPeH<
zmKSleDP=IMkTLJ=25a}<yM7&BIC<flJM5<<xa}5f!LZlg2EM&3f%^_z;aoU<626ik
z@gg3c$?^y`f|+^m=0AkFIM-MY!xHNMw%>!_UHvqu4L@5KO^$(2DxY^d0Ize$(nZ31
zwwo#Mg++dsMv&_z#a4PN!tZX`tGL3R$uBgeU`>Z>C1+tB{YfTa*w84nQxkT7|LuS@
zOuOc4Lh?5@x8)rq;7qSQqSCO!nD7I6*vpbTQxeXMt_u-^!=1+CX3?LV&rKWi!SA9e
zw~_qTj-*W+cEEm_GM4@DYT2IVt#EDdfq@S&o7jRS8~ix>zk?kxZLO#<1Ke?==v^mF
z<2PPJ2mg!aly8D{)sGo2Pgqu+xgw%S`ZKS<&cP)(qAfI)<ma9`)~FA|LM(v-jqp*c
z2d$sriPeFqDp*D4{evF(zw~zI8u*20mS{KJa7)s!1QyENSy>CaeV_>-<HweR>PQXz
zc(eWZOL*mq26riZ=jFjOMet8K(dVyWk#DKp*>DGovv(fMm~rhG$uABcQx?jGm5p!3
zlY9(Y`^<?#SUNX{BL=Pxy1ASIzy8Oirw-eU{;o@csqW7;XuuaF{v1t&cYQdhpadVF
zKg$~n-wx+0BJrj?@qFGrcw37*FNsG7CoFY?;dn_JemQvJscYX=*tW#{wiukn@j3kp
zeBsP?CJ8v5_qW_-xM0EEhab+S^H@6vFH}gaka##}6CULb7wQH&@xZz@)Rs;#ulSyC
z*kfvTJL~wKf{kYS${FDOV()Y;;WrAm)i=WdJ~KTQu<W^kr_`{<tMh5baDQ8*7|Hi%
zn<VW%0(Wox5KH2FPU8z(X*l<ddps4&1)g}d%fQCw0+NjI_rbY`BJgPGn{0Ca>Ai*Y
zVz6DQmllcd*Tp4!dErYbj5VAv3)8d?Kiol6dz=>z`Pn|m3Lj4WZcd)B*el$S4SvFx
zGEM5kgtIYsWgPjkXDa7pVM(hiJO9EeD|3`2o<EQ99!P_YIATLdK1tnsRsS)p*n4z4
z$v3scH!@v-Yo_RSTERN;djc=QfpKjG4#ZpcXPLsAyHa1CfzSVV%zYFN*x;gf0rvUJ
znSTJLJzk>c4M&bwXzhpdt7c!4{M+x@k9)Y_pIjaaB;Q{2@_rL1T>UaV<t)4swO4Ze
zJJy#prMo;~?o(71|KL!isfg3?=TJ|BI`~FSI6b+ZOW^I&xA1*`n-pL8r`YR|3V4^#
zzFqz>#gop3H}G%*Tj32@J67ZPf5blN^5L*?v(ej3__xcIhP!aYpHQoKIN>x`1L^N&
z?RT3Vz_RCOt;zc`?b96+SK*(xv<FGPQ*!nF!)tJ}<Bs#s;mr@GWzWO8it(N~@W-Zw
zY7bcdclp2**y`ji0dqK%qto&k{4GtP@EBZkZt*S2|I1Gt2s#Wuq)*l%`P1S{Cs_>P
zb^EHk1h`4nbKn51!09MU@~0YGqTTkxb?zaL?!h;5`ycSZ@t3|QJb<GPJ=-JzfBexP
zP40KM-CGxW_?wSQP6izCDzc9O7N|1VPsaP-XLsCJzgbp^%O2LshoiYV)|TPuV3%x?
z|BV^!Zk&VtRli7(=baS&!!!-|6ddXgh1L7N9$0`w8#^s-!i&06J@fFRhtstrA4~18
zojM60cz^0Z5WKJ9`q)=^|AD%n)^OWK8}1pHZ_wD2^gpgAM!}?fi_*}%2rOT6>+m3a
z`SjrnVzB#N9nTN&ouVsx+u$!n>rXzzwo~+tWIS<YT$mhy$6nicFJOG$>E+o)&SxGm
zw>S?!n(5IZ$CuJ=Z}|*62P<qQ=VR{(HyDMzBI1+#;K+%j;*T&-;-53^a7fcer9oII
zqv=)){3~0Mu^F!8kh7?RX%_B8lJ)61uCp=~@bZ_j^fWk3W!B*>{AR~ZfmHZOwf?qh
zI8^+#<4riOqsFii);N58>;}B1t~m4#zRrHynB*(lsh@6n53`q0boj#R`r(SLuvMc#
z<{3DJ%PRR3TzK%vQ<9J5bCaw72)~)V5O@r(_qx0I1rBSXS~r6|j;`J$&+j?R?rH$j
zZar2u0gI?Uo+SCj1dlr&V{lR32MJj?f_LySX`ir7PTA5h+q;)lBk;cbH4n1Cs$`0|
z)epPvbpQDUHk_Ju=z#st6>fYDbE|%kA<yS2!gI3(?$NcbCeQbzU1Tl~cIWV1B=sxb
zRDJ#hIsWhBvu4<uX}sV*{ImS;r!M&SY>+(JU;2Js-$2ekWsyL49ai@Jr$E||)l)j+
z8a(2)X5I^1((BoI!g0g%kwfs-;~z)P!R|S8xukzQ<zFbafn{d~zl_3b>DQI5;a3rs
zUZlRL8>7?BV47gfr=<U$Z`v+k3g6-^w*Cf>g=#yh!08lsqJO}C=i9!Le1PMj(3ewi
zNB4NC5L`uT{{0us^vh$fARMjV^ynvi$2Q)d<R4f5-fCZhDV(?eBl$;PDw-xz-;xy<
zCR>p2D86bFN7_TIZTw6d{2<1ogxsI0)xUieu)0TE2x)JsF89heu;kFpQ__Ep>Vod)
zz{=aqyh;65rcZ8t0W*vSJs|y8`p@!Y5?uauOG`JLbv62IBK#>>{U@p4U9_oMB%gG}
z@*O`pKYl%`hUA+Lj#w6w_D*ZqD|HQ?@)-V3`UBmjmYg8?wvVUJFr47oy^Z9rw5oq*
ze}^?>?GwD=H%5UPr2ZH-xKfk+*A1gT=Sltj(EN4dEd0gx1{Hb!l}mqro`S15mz5S_
zzCFR7_AqTua098&vptamBtN-f$NVaZUqjoNtj%F%C7;_X@JXI+?~GuhlcQCXh<7_j
z;&czgfvcxYDM)<OODoWZUk|i|(7`iN+vN|yU;i3$(!!%QBFQ9Q`T8AW;5Im{bW4gd
zOcNQ#%n7SM-bpV5r+R<hzYFdwiHeYd*UK%tcfhr@j}`^t2HV_C!f;jUrb{GWsU;zl
zAP7$#+xnRs-h1<6izIx=Bfy>u?(X?+BLU||M6|HL)DyCI<zY{uSwm*H@zI7pDOlE8
zaCy2B<B$2>V<GtXud*vYU}KibdVYAcuhZxg-2XW;h8v#iacmoc%Lg|Lalv)G9(#J>
z?c$&2SYVw!e_!{(Yg=cwGQkX2neNoXbCorpY2cvs`%De+=nLbE)bOR%B%ez7Wv{5_
zU)1-h`@G9lunbdq2dV#rXc5QP@Rz)}WHKLY(8(Arfj`U0$ddWw(!MOCeAvf`@!vRX
z!z9>N055KR9!2`g7Fw}A&*952!mUVu@|{b3odut+keng$&TleR;4$3S#Z=k@pZ>x8
z_z8UNT740TA42v!qg~+CeU0NJe(>uQvYduR9W<&*{}-Vv5mAFbnMp2?{x7Cx^i&nz
z&$6OQ#*4J;k)zvSXZAjKGM?I1M!PxS>@y4e<a`-)qwN10uzz%{J4WKk?JBRhRk$qk
z3q3hL>DR@+&+wjv40Uq<?f0lGM&PKUO!j0xGx$L%-4568Xow;6lYPyd+*WusTly7=
z&xelOxls-;A0D0{@!8CRi>3_b&p)u4)XyUhu7PLpy4ch{5>Fl;O|^OozrFXUgN&aY
z7gOs~;QBgs>fdmloS<$pTu1##gp41TAA&n>!<9@5mSp@af5}LSgg1N}nIiMQ{MG+x
zufx*MympfDWBXem{2F|qzDa8x<u_gk*?PjE_Q$+7p}fp8b@&`SV)`te^bbj$^dcMh
zaJ_gFBkU=}tz-?aM*7c?@g}CVozVa;`bb$u#^ctN^hiT^@sIt`8qV+IlWxBkmVNRg
zi`@UW1cA?LaE0U(brKH*<@gO1U{5o72J*a@-IJRY;rskQ5=s1BpiWehf@|x7TuFRa
zwqh%mhJ8Nn`%CI~ZjPBx7#8`{)kx+KK8N5`5!mHuf)$Bx0?PpmyWod2GGb)@)ef18
z;Dt{{uavgIQQY4aIbkslyBRXy)M@!#;(!^phAWWxdHJLR|H3=GkN7T|K&}^45G*hU
z`yO~xPUfS9iYv>*@J=(@pCleC+@SIuf_+q4uabB#(zy1u2d<#l^78-f$$HbN8!kHA
ztxeWn6y?|6H^V7E*e;XxS6&E>NfWI4sf(7h@69-h@@iOY?}J`4fBAC-?5%~Z>8B&f
z^{&~w`#*#AGfGd8`}y$T%j$F3Wh!)v^iRvpgU;!2A;pOjGCt~U4Zl5x8KWc&NdLdv
zrET&EF59)fjf^)|t-SY%u+Dt%b28tH6lU&?g-@(!U#W&`)tJie!^d`JBoxAqwmAWM
zaEW+!b2;oFczEp~ymWqk`UU)){bSW~J>rXe&(7Cy)NennKd`@F<exnF?}CCwD;(l|
zLc9ciDcIZJ3@4e(jga%lP(J4>fIqK!<YvQyB^wi7!tEK3ozGx%hi~W7;k>6$Q`2D9
zVD%r5VTQ7t<4JIPI;~6uJi5FpcptuY=|pZM+-DN?;U?@C6*Zs;a~pFp+<{9<wXGFk
ztGoMTZoxH^Tyg@ih-<Z7EX;1$TEGWO*L2R`gEtGj-oXWH+-N%X7(VctZ5IbjbFJq)
zxgVjY>*1SW16KpC=P<)yCOsqE-D#tq30Lj8I<oQ>e;*gubdJ<ld%BSQGJNLAY%zI0
z?(iPQKDg8_CWM^tu$k1Yez;rn31=!i-^aPs4hvm5^erB)tZ=>50qeY_7`qKCtks{o
z57V8~;)sK9tz8+7fsc&(s>Z;_zUY+%!v{|1pM3=PaQ@kI4Q{<HR7mP;gf4#UBy1VJ
z7EI3fcGH-n9lTbeml*-O9LiTc0voc3UJ8bPyjU(VhSg$&9tOc0$7=8FgAeIAow*Eq
z2ySH7f*sc4R=wd@?GrvKu&sDdlRI2eDzdx><`*rtc7tu4=pA>%TiR149AO!^1EX^A
zW!6s>r{KLDLPp}S&uo#EDSSmd+)xVc=ih(z2%Oib$G;seS5-Ko3o{B{Oxpo}(!csy
z2R_<j!pIKSfAY#xhokpjj^u#d<?8pV!Mc-2e{Y8GPZW$u!2X}^F0jBsr#4>{haYyh
z+tR{KH);0s!*`8BhUj2L=X&Q|u=coW;h#FZ{~fDS<b?U#4CPngFTZk?Hp7X_dv?8n
zO(oya(7@h}`;#l-oV1i9>tmRI^b!vx!5j;3cP_!<Jjo5oaCyZ3-g%gRfrl;xcHz93
zF$t>#aE9H4>r=J|kHTG4ipf@Rp^&Y~0IdB<bcYR`D%o4r373x3CyT*Uk<!skaE0yf
z?Go@~djt1cI85uW+y?m7>ms!>Sdnfdp8{Skw+bzSsS22FhHDX@q`Hsiz$XHx2S(sV
zU1k60a4+|@{C3!UOR+&Z{N#v*YzJ(A-+d?*R=dpir~$SvKNk=UXO34tXomNnl3}?6
zGuVVv)xsrj@`rE21qr6Xb#Tq12F(rlfWol(OE@+AUAG^6`D1!-AzZ8;d)gO%vcW|w
z8-D4rOZft<QY&1Q1CRUHS$n`9)w%Z*VFSA3lBeNEGx(h=_{ZauvNrHLpQ3epxb7R>
zhGTHUU8g_?_?~Z{kSXkJGG=B9yZ8tmw}i)&m3oZfe#`iGCh+OTf@3>i`m*Mw6Yw(*
z>OLO$thT}5Be3;rrJCUy#P5H*TXf;yp(C1~Vb(2Twg+MU;>4_ecwT3Vj0WtGt|k5v
zPEKN~QG@m0|Bc1gQ}d?b%3TF`_lHEbE|}^2s-QgFyU{$b3D(|I6Uz-h9phPPgTuPt
zi*Ug&bGjVsVSS0LceF6wzA5`g*l@hYaucj@G_9oy{x+B|zWx>YTRvff8aR8ft>Pc7
zt~5|o0-rOiy1fWf@LDO9!9SzE@Gijb6_`^B;6b0>*(vzQ-iRHAFzvW7=LF2eIXj;Y
zYwnZKor62QFL|ZG4-YL1Pr}9qzrruUg<r;x&%?KWUt#cupB_>V_z4Tyej0IrovH<L
zmSDzxcBf9knG(oZ!72G$T2H_uc2b^ea5URJBMX?#*o=zYztWU;$q~4*gU(?yp0^}e
zrQ8r!IW6{^0cN-`EvyX}zg!dA3a4k<J>3u68mbzy!tIoe0lVS+%NzYkeTulNuFJr`
zKkrNDfc2NsyLZCU)0CY%;WKfp$9KSb{X3j?z@=RERa;^1)PYzbm}2kl{cNx)>w<_N
zY%B0Bn;x!-%QlyU-`5|Orh|9gu9*~v_im+1*Z|AE_vR+;J-FvI_j)znKS(5N%EAgJ
zoj+$_>BD-SD)5Ue`Sa5-UGrTYW|-o<ap<oq><3RY>2tz;z16hy@Y|m`@#OiwHC}qz
z4%2+R;X((uCQ!<Cz#>@=9;83mzs%i!AJ*1Bs!8hK==|<SaWFfbTHz1)WhOt50~~i@
zf5<o3VPjH)Bb+p{lr;(mJeoLXM#|Hv0|sDbr;{^B;V45VmXB~!7?p(~%o*<WxdVRa
zak2L>+*hMT+YXnwlx3;Gz2@d0>fvXlLgE_m-S4$-Z{hvX4Y7)_@X~;K1)Q-i#ik4^
z|E+Q?g}+;$9~XiTI1Vcoz=p~l&LS{dL5KAVc<m3X8V4MA;kQ&K?5^Qf$_f9Y{eAQa
z9OwA_&PI5Sk54!e=4D^sOba(`kUpFM*QThB{;ni{-)y_{F6>$sZvO`s?w-oO19zPe
zZutpIRqeVS3RA~;>d(O<XSAQ+fLVhxca6YFIe~uuu&3~J(q}k&frHr(X1jco_5+;%
z(rn}cOuwi8=12J2-nonC;f!$GxeoY<x2(<?Smn$^k1qK6nagg@a6x&Kb`3neTCRQ)
z4%xJ!wiZ6?;@n{kpP`SJDueC3bJLH)UoO1MDu>hgZIsO5x861!g|PAS%uNRHx7D!N
zBG~AG)uTgj%i50hY`Em%Q#UR6e!6x*F6`Q9zd;kep3(n31CBeG-=PdIIj=Zn!iz;7
zPD=3fncMG^;cq$BO42avq31@a@SvyuNeS4MqD|lqe5g8IMgab6FqRe#A81xF=Y<8%
zY`h!<i+RP1Zi9t)ZCktwKNTotV1-}o_(FFao~#i6L<_r#PKTPq4*!i(Z-kB1H`*M8
z84@ge|BYgPcu7B?3x9dXyS4(Kl;Y1*f~U76x6i|R%zV-+@RseN4s-B@jI0MT@XY6p
ziW9JWMh3@j*g;~k;X8bFugo=3n9c3-!(n*G3Bh$SxMR^(dI-kXN6zrUC-Q%;_rUZL
zN#FTl3%~K0ZaAr0(3Bgl$oFt+fhl=d-t)jqW$w#Oa7BKcDjTfkzSL9$(}@MV-U>f|
zwQ{l=p0A`7V1&CzZ_1Xyg2%q5ZidgDyHocH)|_@>pn<Qk?~Ho^JErJ_Z-gU~3{10N
zBmee>={LyF`hFF74D(E69Q*+b2e2BZ!UHkScs{}R3-We6fUmmwCJe!*E0a3+;nV(p
z=UQQruxQTP@O0I|={7jG>G0nWSS+P#!xLEa5KUVEY`*74U<S-BDu2o!KJG{{kqBRX
zok8OU|9j&5H3iNp987S9rFQ-{iicC{<IkRgv+A;19>58d-RpL+kcO~wG<@sM-3|-5
zma?z#E?m}<!fyu8bC#X-fZw{EUC@Vbe{~%6gbnu^=O2XEbDMa~;Z+vl>l$#W;<*G1
z_{Et{7iIYG>gyaS__9o?sto+C|EPovZ0gvzBo4>Qyl`cQqih=+`QgTT?QsscdyC9T
zKKSKSu_+VG8ZIEq1<R%BzGsFXykD{4fCZDqGS({4KT{UPnczQ_h5Q>(t|5QAk`Z2s
z7recM^4I>3cd224{^#_|@IK=KAu2d3kIQ=&uG>1WwDJY>9rL64IXLv9S<!F!Uf$^L
ze)z1rP3RB!PUFcJAK>Lx=e#NS-ICIc2AIj{a_}g;Hz1p$2~K{<qd5$_J5Ouo!7F@9
zTl(OD|E%8R!-mV&d%NLCYU!9%xUD~6a|<k$AJ38whbVBSH^CoD)_oJ;op)5dYT%h0
zj(;A)(jnY(Z(#dZ50tOLOI!7*i(w`8rNUs?n@zJOAC^iHUT}d=_Fs;D27ek3Jnss3
z`Sw=)2P^M6c<=;q{MP7XIPTknT1&XQzfmv=UT|BLGKJ?n>6c>R?<$9~%;1{Yy2u!~
zq4GJq0n9}cLForyo4s=T2<);uVDciY_Q)hn5N5n9w#^^@7`9bV0KTE{UhD#F?~u;;
zy&U@uQ9E;Axb>gYoiVsbuZR5-%vb5x)(ppJTO0_4jrXaWG{Ix)Z4~7A7E9CUJa|}3
zTP7H;s$yk(0Us4+ue%CARy-H*A3QY`G8YC9?-1XR0pH>k<hcoR1dn#dz&y>7dQtGH
z<V5p(unEtJPq*OW+soDAaCm4L{eAeT<O}UEc#&=1I}TQjH2D|}i$B@EmJ4$znxDD_
zk6!zDF9!~rDsH(Br-~<e_rm$!Z%_Ecsyv72d*JitqIDNxn!S&dKf#RuULU*wkL78%
z48Y&_Z_hsio8P;;O#0WH>oa*5`1<4s|7V!{yeF+WJX7+$j{^O9PyN*`Ch$O;(E-xG
zpQLj?JpqSJMtd^AnRjBuE#MCIe*<KETym4FvV#v9Y`QB2y9JFlTEbE{BZVYkVb{Y7
zrttpP^`;8&Y1jN>V>tVY-gi0pU<nVO9&G0pxOFeguIB&vAZ%Xn@97?x_2;+E8gTAu
z>0T}P(!zmgHCR<X%T*JOWq7e75AS*28?Oh)#Lx!F!FH?0lDcp=lh=1KxP(6Ora4@;
zz%wlj>s%0<C-Ler`-^Kbu$1eY|9s%xUm7FG@mn&ixA?&~XHM{v^Qq2E)<1$X{z;2T
z!aQ2)Ru5tM(zF->c*fSN=s6r4u@KJ-JJ?hmdIle|aiQD>AN|*JDIZRdy>){F&b_*e
zArB5Zz2WC(SpAEP%4_&`1@C!A`1;hPmSQ-~;{E^?{E{hn`3-z&cYzHhJe5>`y8<qf
z6=_&5!}k$_TT0);$8Krr|ACE|O-IRmWkVye>pPtB!HA_9ZoRLSHU`W6VQ;O6<GIpC
znqkTonw2(qIJ)Rm6a1heoWBJQeV3wK0&`yWJVNHntc&?2uV5P~MaK7VQw+;;5}Yv0
zw5K2L5a#tugwN~VwI}oKZ*F?yNH}8FKI#)Z`h}x29A4u5Qv4B)r=rNb0&mECHu?oV
zzkxyQGQ1^4gmDDUJ-qnO3EsK&o60!s7xXvC5k9Xg(E1HF96dj21$zY!F8_dOA9%Z2
z!W&gMqh{cLwo|<(F!k={(nUBoe#*ia9`d9*vH;iB+SlsBA0-O>{=(-2PwE_mDd)d4
zufjP@JulRWJ?^SeVLfAN*tS~@4lJvCPeIl{nmUQ{aL9_wKRWmX#onEA@X6MMyJS7o
zccLIn4EAhOdBXzVOnO2u3TKI&Hf4q-EVp~_f?Fpy1aZP6ybMb_-~)`7nOot&t*gz9
za7EE%*LL^_%lE?!FhwA{3lFTTYx|lKj-N=4CF?iwdR<itc;Cc)Ia$A5%vE8YEyezH
zulIx~?0ahG-5;<C<6Bl?SnM*h^C$R=wuS~-A0D@x|2_bBH5aak!BnkQA~moRGoOeY
zd^Sn#Srwc>TYFg&&ZpgBmJGl5+xbKRcDV4jI}!d9b5KPdw)gki7YpnB{lP%io0)d8
z758C!LB9ra{qER5fBoS6a;e0fFrUH}zW|u3EuoG)--VjLN8I3`GSdfa@NgSTn>%dv
zj{X>_zZW`gn~%a=W38f_;QgC@Bagvhi%DaY@YTHcO?%<X2hNs|_2v=zem!+qcV!{@
z7i?QVXR`&q@36I*w72Ionqd~0rtjsiKk%0uV=vcBFu#j5?IP{HJ%31X4Hn|sR=AGx
zz5%1uMfjPd*a*44ZlpH<0$lOL%Zsdkskw`8O~G`2S5ukbJi|<;Nx09aQDHOezHgh)
zXLxSQdpma6d~xIIFdY1VW05>Bo8c9wKG<!6laI8&c8J6G9+=A`?GP7Sntiam4$dh^
z@aBW1cw{tcVV<s>dQyKp5ewf_VdlSe56Ste&FGxdVYa7hQ{?&s-0zsL!siAAs%T(}
zAKkaF!3BR*Rmpn&yPhMX5v=xj&54wsNwbVHgo_?}ydux9p~9#l4yRn^A0^NKU5uhs
z6uuuez(9^?5BU(q34b~qqD-zwm)*?50ecoEERgYWhJwZT?`y=zP$gcnpGaZe(76Iz
z-n&~!+ILpVO>G{I7Zn>J<0Gca;>|34J$HbX)YqT<-7&-P2`N{F9mH37*oR=fr_~MQ
z`5A@6f_mT^lllu}d<1%&qv(bsrc=WB;R`_nXPaTUd4WQ4*!u9BnMU}y-z7cL|COpG
zEUIBQ?Zu0`;rJ~KA1mRPM|Egr;p3B6v|qvdKEIJyfmJGx))&F~R~Q?}{%c^RMm7g7
zY`FSM1J*QqRFDN*d~Xg_him8Qc07iAS5#l>z%SZ{lGDiXsn>P2;ccCV=@Q`l%QF`Y
z;aj_RMaIMLpUD4zzu5mEYB35n+4n%s4CQ@()|YR?#lHsXO<-Exmd`ifHzs@MPrxZT
zaSqqvi?{u6TEH&`H@5l08(;M1+rb0%tw(%dmJ93$ZQ+g+8l|4Fyt(W7({S873N;Tn
zA?-gJXZYNk3;#L8#`?cy&%y6s$cZ|^T-#;ey1^0jPwrX6E@8g2UhthDyRBAm;^+Ju
z7hwsF&OlQ*gmvkKAKa}JxxoY$pO?_~g)L6}bJc?j$If~L!<jt=(+A<s!^u?F;LX-T
z<{I!C^#|#2c$0NszZxuZP}Te<?DM5OM*_b8?QC!qEV|82MjXzpe8_PdR@gS2zz4q-
zc&BwAPUwi>;e}mp{OXB;Zz!&XaKdWY+!Tp$+J*l%aljX2weLTKJyf|bY=+l^oU77d
zz126r7~r0tw~wa5E5h<8so<R{&x4-956*TEQ@{`6+S#7MBCC4(%de0Rp!=?o2Zz>v
zYhHrih0%58lFt`gDgA`wDtXq5VScLLuV&!AGB(16aEimotwB<L#Mz`AemHiSX#jq7
zFT<w<4m*Epw2_o2W<05e9mJL#8{pncwJKHcu57pVN;pURjY9+6{{5fv8@R;vcjR06
zv-5;d4s5_bUfc>_>c5<s1@AmZY0v`KcF(Xrh96G+@a~4?o36y9!PE1*k~?5~H7A#7
zSkr>4@dI3adS)UD)=`w3>xK1cKE4TnuiaqWJ`5*1+iLp5Qxg1npJ2iHp63@~(S1uF
z$6&iYbIA+v^>g$dU*YQdwzxBJozBOEX?RxV@HQ8i>))gl$(PDruM4(?9Uc@}{DRFq
z_femOU-i{a&%sV2ug)EVH!Fv8uD~G=q-V`w*R|NJKd{%!|11sQ_k72CHz0p^>nZo(
zA$ZUElddFxcT6PapcY(Y!F8YHd)-s18uq~ovb<s&VfO3(a?0?#fgUp^Snle?OGVgW
z@5k?qa8CWHol-DcR>T%|xJS1oMFQ@)ck4ekSZrR0UI0$3SMK0}ZI`kl`QQj8Whau4
zj-(O(y$ueM{&a^QejgQfnG;SB{wTl)f80Rzg$XYH;%g)Z%P^gC*bJZ2Ie$qQE<J0m
z^0yfKjVanRX;}Tm%aRp1@HnNS6kPUDT5uj#td6x+gso16X3WAAbT>lf;F^K}-(gtw
z<mLiZI4Q4d^%Gp|yYfL9R+Mad-vS4h`ciAc`gS`^n_)*~o2tDq^;p#1d{{p0{p11o
zJjKYCJXn8A`4%nsol@`jWccG@Vf90BP`KckB>0HO#$|1|^2z<D*J0su2Z6(I|L|wA
zV0dG#_OKrO(b)8i3v9r5pN_mwu<}ZrbcUImJx&<Fo0M+GYQs65(lX@wiu!xl4#J0o
zCC$nGip`0SE5IFrbCM+g>v*x>SqWa;`nyUAw%KLeAqB5~t%xJ_S6=<+hz#si{7#(I
zpN+dmsW6P(PVaU&y{_Pu7~Iq7?n>HovO<KP54Po};vo6*AIlcI1Yyk`yPlJL@mI~3
za2`0(_^JfyucvanXn5hfd!AMPgju7<JUC&Ia5}9%*iPShiX1O)x38xM9%$%3#s;5n
zNj^^Uw^SWc9pw0+yPqe^$njGNdzs-2A)EF;g1K`<71`lcR;%6wI3)jW3M0HXw$Pl!
z+keeb+^ldt6Z>=!?B}+4gBCU&_%GfA{yH3bjRCfEWsxNFfkWH$6eax1;YptjTqEp0
zP6O}T#OY=YA9i?e`mYGz*K7Wwb(DPm0bR!$ocheN*A%wzIlK2a95g1Htq&VXq?Rnf
zvuhcehv34~6oNnDj)F@ZTJYK@+4Naha?|qjeXtexUB+>kRlema$&aq*l|@XzM{3O2
z$^3kHhI?@Y-sdbfB?X&3(Y*KtJ|SBiBnc;tB!Bt<A2W<PCJ0l%uCy9}wM}>@$@<~o
z!uI-3*ko*_k{jljR?+T;Me4;T$a=+zV{Th5T%5&FN!Bxc{+r_K;Hc1NW=!y?>nVzI
zSZVB*7+EjAo4XiP0XMG7yrG8shg&BK;aeT-v1ETD6Z-LVF>K#+x?&j?VZWu80YCj~
z7DMu-DiSfJ|G`5Ol%lh+K=Y(vGOQau_mAXD3n*sNQ{e6S8TZKkDLd`J=6E=}A<l*5
zOH2P~Mm~VKC5-<K!Zi=#7Vp5_r3bpm{_i-;or`yg%_&{FV6VK<PhoJG?H_frzYNps
zvx<OqmCHLD;i_@*`fIS=tHP%wUuvJmrF|XtXbe!Vf(x|Va(&^->MLwy|NDjexTHU<
z&!qd5?0*f)GUG17J%QSRxiEdvt*zd0FU>Z#9QeVpPl0Z5@(<35C-96%#b0-rDQ`A_
z<WnE9Y(DJ-Z)5#sM)vQa2IF6y$>-1H1w4RPG(t*_!J^0i%S?sMPiO5t3b(0VS4)9i
zcC2I=z;)9XoipK_#_gi|u<Qw=)eKmC^z1z?*yg*y5pusD+5d~vfR9uD87+i8w100<
zf{QMu+qc5cjATQ1!`mF)ev|szpdCCX3R~3(>XZ6*@VdV!1pC{M50U-xNZ`2b4!A!o
zMs5oJWi{=<4L9@}zng$#{WRNH;kY2)Inw?neQL%maKy2J5YqmqE$^0Yf*m`~eb|8h
zWHTN3h8osCE^v;l-xF_ii~cP{e;4~6PuB1KrEj0Fz~)K`lB7RI74xvq!+h=L$4P%3
z^Q4QPg*6;EO)<iZ?`<i@;l`S(tz<nO%%p$)8@zeM{TUm)ts`~j6KqAz-^BwL#Dsbb
z!Y$8QPLuIcQ!@0S3$EENRz}v}X<TWa-ovivTaSprpN}r<Ho$CE-afnG-Sgdz_3*z$
zPA0Pc{uV8z@CJV2Xl<_voB#JgxeT72U0NjT?Sq!`=>_mXmBtI^@OIS)BDpZ*Bg;+4
zVTPh#cQfGI+D~#W!F$AJ9;Cqh86x|=;lJArsN!Lbt7`W{;3ToUjj?b*bcxsvI9rbS
zd?XyDQ0*TJFHJjog~1UE%B*DlXvXk%D2Uiz&hasP@*=|*fA~a4`X91B+??rV=mk^k
z;O2i0ztp2|y8s{ZSkljg^F&+I?O}lm7Vh_Od%`nuOZY=_VF+1YmG)^@oq`n_@o$;o
z1nwp+a{Sh@2JQh^$HKAi4173ab39r96s`1IIl<N0wUmpndAH}BJ8TrbDTutk)o7^j
zCdYR#>9CRYi5<1*h#kCHm)V)jUpoWlzu3S7PP!{({qd^J=I}AtoBuxn0eI$0MVlGC
zw`t%NS%0uei|sLh(+m|qll8|3>yXkzuv37Gw<sLpJtwFIKYUxBOy0MSit7Kj4?Yz%
zBPRp%WfZe0!)I@+S(Ehy%O{3=im=vu*IBY287RN<R}$uZQpiQ#?>qW51xUbjo+CNr
z{eEe=@;E;{q~)@KtPftYzMtF$+rPOTOXmMbSB+zwuw{93g&9mi71GNNQ`h`3A>U6p
zUHMCM^Zz)y?|81hKMvqu*{Mha5wc4{Dl;pUksTqK*)uDV(y%HD*^-?SDtl%}vV|g*
znItKrGWxyF@6YGsoX_WT?>*<9@jmAOe+&}zH-T>rAE{@6OSY>rlKlvmSF`q0!WUEg
zr7Yo-DHC}V@Qsp$H|B8D9s|}tg@`ZGv@DYS5yw;`6P97`M`K~Ou(l`#)f~LJdQ+h*
z9Qa;3XckVG;y>vEv+_Tg8;5xs)ZD${{|r95kHMGj_{Nj{7z0+d$9v!ugXlUx_)_c7
z<}UccLXN>Dxa5wtcniGgdC#LTSoKJ?L=!yy->7UT%*ZI3QUzNr{5VhckF4t&a#h0F
z?Q6dy;L{N;VJ~355L%u%c#Gk;jnCn}>8&L(@Z6%AcMg0YgpDp6?y*d|m<8`l+MS#U
ztFSPRCc_I?*qffh-j#yZN$@$2-Nw1FYhO}(6s*y_<9Z?NxAsgc5|*9azVijV!H>T@
z6u$2C*RCFZoTE}11P>hhwNeYemZ{(mfDf{M;%kK+6&tht;XQu+Wv^hiBQje(VKvRn
zjf3zO&STr$;VO&!DgChF-iiP__}=R2ACvH8ZQ<4Pa7vy0%?Y^sv+&oma6KPe-Yond
z2d|R}e9QAcrEl=X)TFn%@H01#%{#FF$UNbYi8{<?ta@oD?3P$Irw1Rruq&Mt-qIZF
zPV(Qlud#(2_HAaPA>UWc!!0QUPci=rHiFl#8fNT;bD6z4EMdc&B5%auk5|<mn8UZ&
z9i$}S#VfB5+LQb-%9gV5_f3g~wy;5Ble9c6TbVF&5&mYCWpx7XEVVZGfjPRqb&&mB
z|7=GWuE5P(I+w|QFYTL;yvg&VEnz>e3%4HRX9$M9s>g~g;i_wCn{L1#e584-VZDIe
z>9^rn1uhLI_-B3}&n=is!mpI<KYRUHyNs0Y&;_ecUNFZhg)}MOTMz3``M`&k{5ulh
zvFz9svY(Kppr<ny?wkC#F%&+yq;B&N9^BDy8V`%d-nAw5$(N(*a1z|<b~!Q+p6+^T
zM)nV8u&^*cg(F|`w`IcTOz%7@f@h{#7s&p{K0Y3yLU@EZ&LST!w~wtR^?i5Yov;$P
zLsw9~0=C-8v{VXzx}Vrv4`16)$5jj8Nf9_*2Xno?ce@U5{S-gl3Ue6VE^380GH^SR
z_sz^cC;SbpsIVdC9ei5(aY-NCIB;XfAWT(yl(!!)Z~gV;6Wm3kbc*ahZMp6){1IL#
zeqToROMmwKSUUy38yVmD1OEQ!bscFB9;Aj`oQGQ_rOuG{V#lu}7qZ{|wndaNNl)e;
z{g0f7>et!ZI0TFH_UnnmeN;V-<o7pF?wk~bPcb-(lJ+8;bt9t`Oxssh&;h@?elq<C
ztS+y+s~NWF=Uq4fE98ysYJjPJnS>mNt3(2V$n$F1EXqyJk44wogyh0%yOj!K;J&Za
zKhxpQk6DHvz%<vmJ<{NvDuQmwFb8AZa6Bv&`#UZZuHQFk8V3*T=hIDv6Sh|*llu7l
z{+CNR@Y7wL9GBsPpQ%!_;9qh~KONz=BegAg@PGb19uBZj!ke>C;WX8TVGG!(==#kf
zSaMU3DS3a4=Hs3`hrPMCAJl>^|Elzs!y7rcUz~ysnT`IGz%eFPA+oS0{py~VutbCt
ztqknnO<7FN+bvFS@(_o)Bho)K!MqvFKSkk%*nG+cIJVc|6(^jgq_V#a9&9u^xf|BG
zuKKbS4o~>|d^=qBb8xB~KF{=5d>d?C^WLuuo={Cr-U#1Wu*n#N&5p-&(8Hlrwyker
z4bczt%P&x$g}%&xfTyhcFD$`QE|WKhVci{<hG*fkXRPza;iyhm({J#Ak!kN|SUa~!
zd<a$%?^>CL%O5;?{*HWp%d0(8a7M;#a0^WFR$P4!R_gdb^9sHiF5vzRHeBZ&E{02#
zL*o}<e#@<<MR3z0AKf4Dd5^zIiSQ1JwoAX^UoR)v6JW+8H4hiz&TQfN5P0<meajl0
zx_|qHU|4DWd-f9SMW+;e7XG$JpmQDGG$KS}0)H+N4=3MWd)Y&b3ikfPZSw^_oqyvQ
zHT))4_Vxrkdb2iY;W_$WL2+yHe7^C$p<aSZEL4_;;5a)6_gVN1okTV%pAS_Y?myrJ
zJ#FdN@U+I3p(%LWL3L|AEKITK>@;jV`sipeT>I5+S28>&P``uJzj6`l#0Ri8W9uTR
zpT@WK3q0T;zQy(j@F2f}s26;!RNRu(fA#<R5}e>y_TgLaz>De+5?tXI4857R;Moge
zRJL$~Xc)C4d|ohu(iyJ3_c7icRz1S$Y7NIx%BUH^yVG8{ko?cR5{3=o^i{>dbMVlG
zmLe^9PL9gR9DW=7*Hs;6x5$k<4tH#?jn#vn9r?<l0t-0auGWSZgs5f@!lHvGC&>BD
zL`g*#ahU66t}priG3WLHA(;6UYl|(c>>xA951+U4Ico!36}2euhILj2Zn(gL>3{0k
z;TfLmJDuT9oluc&@W&e>@?NlYV{zVAxb1Low+Eciufj?XzdpDBj~`6a<r+^5`^dcK
z@`X#B!(Eo1q5ssoc#@n?)k`UwU4T6|^124VSI_s>kHI^(mBs|Yr#hCEM`0&nhP^l8
z5SNg=cd+P6f)089N6+Pm48n^kGh^iW|23D2?}R@d_GXBNliwP!cEId5jVY1vsO;qR
zCip;uYI6eYF8Lp2BRm}tV;m35Qbf8`!uv9|UnA{V)%8cS<*>uF+4hGp<1;Cv=kV~`
zL0NJhH@H+|umFBA<X}bGL(5yPc`5MIviD(6;eD^Kh&+HLefR9ng^S#n;_t)39N{X3
zu>axRtkH0;UH1TK-)_qnT)zb$?UnpT+Bf}MWgEg^swbDC%HS_c>Mnus$ng8}TDZ7H
zXZ8xLt*}dzw0B+cV`qF|o9?cpPFR9t{ER0|H%%|v0gG(#t#^b^s+t@2!><cHlpWwl
zGcnVB@X0lrJPTNgd6J2|f4>i{?>C3fD(%W7@88Pjs5nDdNz|ro3~qWD%whnGevLI7
zg*BhCUq1!AJsb}D3Ljix*q{N6Ofs;M_DaD%%~=_KV}&&|_~gL|Y?wj)JAA2^v{&!w
z`OZke)|ZO@F2fWin+J}-?*~T0N&B)ZCPV1}tT48{n6xi0PGNQX;Ro$<s%tRqM(+K5
zuv4mw8#T^rhuUs<$^)0|jNU*6KeA8QxeNaFtY+^f*g(TKmKA=%LZd?uSG~%1qJ?*5
z2wmI?Q;uDqp@!q5)i*N1C(rFNTq{6-GHEBy3OBF+e7gd#S%oz2gu{n#DgJ`Z0v^tA
z!s=8Owe#@TpsFjo;rQdf_f5l{cAZ)LaO|(vCsVNN>a-LeY#DF0<0Je&YuS81oc=~E
z<^z0JZEx^i_-urg;~Us)TqI8%)?E?#`Wn9aOGQx(mS%l*x*i@iP_dJOeHrfd;h(N4
z?wdFIdjy`mEu>He3$p9)QGk7@XKPB}2g)`@M`5e!;Jx|qkwYd!$KjLHCm%nB$EO@z
zRp3Ig(QTP9XPR-$DR{o*VRSl7_t{oR10J!ISx<l`Ep@f^;Y+Ry0rBvg!!ZX)eyz0M
zQ7-WB(P~=qeNn8k+uY!2_ufQu{{G8!Z-6cA9l7o)16N<)x^4%no?)YvhRgLH+ndAV
zGbcWg``xp7^os>NIc@7H3cnii)i;8zhJUV;^2nN@?K6e_YPh0yz%r+k<xj)M>U_?U
z`tDX>sz5$(SKRQu2ev#i^Y{$RJMpQMv=_xIiI1(}Bt>sN(w@-KGAlU4X#){!q`i4K
zvsgp!XTFBpk+etJCN8Ia;JMw0kCFCjbCYJ@MVL9Vv4FH^oN-MKfiOi`ZzyT+HiV{6
zUnBWTEEcc8?$x`l-h$h+96NkqpF<1lx8bW|i!!ABRBm^^e;>X)w|<ed_x{uuwk5-*
z(IE_^zqmKQ5D*P(ONNafhnvld*GT^R+gN;6;BIv(`#bP$VRl_PIRE{xsc?9@SlL$^
z9x`99x(r`n)zlS-rOfl>uE09|*L)AaPgL@^lKZv05v5Dchu$kRi*$wg+73?e!SB{S
ztk}RA-;URCz?UMz{7LyGYer45!E!x8I)*THV?!K0d?&kI+ZZ-1^c1Fp$7a<kbYT92
z5mf)dHDi;~dhl`MWAW=4KkwORm8k~rS^p8z1oMka>>=ejwZgs73_G?~m5}n@<Y#D<
z4bN|jDzbvZ0(~3F`J-fhPIV`EMeT+UIX^@tFt19k{|fcPQ8Hioed@{xDZj@C2`+)K
zQTzi_f4Fz<$-8TCRPg?vH{eO_@beC^qKS}uC>+&tzsnIWVl1bQgd4p)uA9KSE@@Jc
z=ii*;vC|lSYF_C|$}?VHF-;K`O!obD7iMtQJgfjSaE=>>z&#oJrw+jS)TazceK`GE
z*<S>{+gJRO)R&ljhfeduv%RD8<a+8uwZHJfzUdl|{ot);$LiSOf(B0^Ql6u~tPOU-
zVUa^op0KjK$pL0Kxo>@|H~fqtu$~F-NVB<2>bF3fZxS6`O>=XFl(%qKhA1t3vUl2s
zly5oJLppL^hr@(&g1oO<N}b7TFol4<wi)ap(W*t}--;UHnwIcrz=p9IIQ9IGQu2OY
z5LrCY25)~$T}1NR9#j}2@c`998%|O`y!Hw!Jci#@AKpdE^ZS>e-bXM^Zq!YE__mOf
zWC)x`y*rT9pYZhlwjg+Z*yk&$Ki?8x8j^Snd*u&X19<Bn$r&g3+yVS|Ex5pT?}M{&
z-L=6EZTNQ26LAtR>QX)+eG=AoNEuUu8?HS)q7Dy@3i*=tsjPedr76K*(>eE%^(B!?
z=M)u~bKi>^vcB|-<t3dQoU-kSJ6W&Wd4P>Z0ltuPf|{InXc%;GKLQ6=DwdM-6%p^B
zyGX<H=O#7C`k{F5e}iIh`Thw$2AJ;C1H*%`Ce6Kadf0Gqrgkq}p&l7U0iUG3sUQq{
zoK+Ge>z%Uyx*qeuVLOihN7h3%bj}O$!6xVa-d}=ePd<xchq=T5bNvqQs+8Zl8>Ze=
zxnUM|coF8m9S(TjFf<NVoZR+z2h4Cqg?bcbn#%5=f@9tEM@ang>$iQHH1NS{HqSx$
z=Y7x8wS1HxpYSOX|6H#6dH5eJ8`0oR)}y<tuWkGeM=1?yk@ad<!<EoE`1!fKu?AS7
zK<U>c+#LL>suE^)EV=LnZhM!aTLC|;Um5xcXZTj`Bj*=#A3B+QhJ!c6za;DNtIGwA
zgD^i!X*^l4Ke4>)*n9Z%K>YvDGni_d<#oe{?!5mPi}ZuG0#Ev2CX*(w7&v&7{q{HT
zHfef65<kAm$hox>rr*9+c>`vrGV^bSA3v?>A?saqFIg^-^t`shqhvkI{?`x<`F+;R
z&vVD%xr5r2LvV>tm&tMXq5t-TF?fM{e$!!?*Tpx6-0!YO?=BvJIbX{QljotiV_fF|
zydduM_y=sn|GH8XuAdiI_yf0?cHS3+n@3El|H99gUi=e+?I?KkDN!E9anGN#!q>~~
zwMqFbk4JEj_`UrPv575ks8;CWR@k>v%bE#};kULR@qY;emOrepk<l4x2G}}F{NgTH
zs9ZFYtRH+&`@4x3Zq(UiNY=L`x%ub?;QI3;wPgR%2J!DH2jKYD<^-~TkJ)^UgVg5}
zcCl2;aDLCL7gDfF%%u-x|6gBFub2#+RCPj?tbeGOrZg+VRfT+e$o@g!``Iew{VF*>
zcblxAl(%1aPu|}j%5$k?{pnGLb_aRCKPJc?A^Z1Pl>?<TVZMpcsciT!tKK2f9t?hp
z(9414Kk&RJ?N8K0Q(>}x<R(d@Y66$=(Zr^~0cHaqNPm&=w8J$4&Ny0n_B_mA>HUuE
zAN6|`I#1fi{hOp;M8OflHg2T<V9Wf#aUT|Am82&9y<$z$;%)c<1=9^*IOO9|i*Pte
zXOxw+->vmaQe?mX<(ksi>+pG(*o<Jf$o<xS(mznxuAcUR8}{xKihy@C#Js!+@BFb=
z9Sb`TD#yFQO0q4o@o-(uyA2oMbLW%0Q{jCNt_|74=7+4c)8W!hJ5P}F0m`+K6Hj1~
zqB2f$K7eD#iq%v2+f(&0Yq*87>vs|Cy!(sgS=jx<U7r&8%)^UsOyMsFY&N}wKMXQv
zoraCV_uQ(5XU38l4dEoEWv*7(V^Z{sCfv>U?7?d|#jiq78~!L8EYS-mKkuVdfKPw?
zcAy^~TQ+i4gxxnbHjco}|Jibh!6(evYd^!=|BQu+!=4X*8GMEPW6xXdg*%HAdS^&}
zmQQcU`GSTs9u5m|*%?{d4X|Ra_XjdQe@@?<{2#nII^pCmI7sp7I@zx;P+4^J4=j3+
z+JWq^mWq$=rNDTfLE1~{9lVsmq)Q3=b8-!k{rq`5#4G<Ie@ybdf=)Q)*kh?x_{`QU
z_cquspXTByJW|B1)&MId`!0;ZgAGA#6>uVz;Du*!=T?@?7w|yJz3<QAJ2FGkWdHuf
zZ@ET~;rf5B%w+#Q<zuFPQeLv=QaO)chUI;Vq&&TSt&QVg>Cj1;EI57Q@EqB%9?JhO
zGZ`+BZhsXHi~Tj=Nr7*D$UH~(x6jA9+=+p6xm~Boetq3#L#jkr=&@b^*`Kc`;p|Gr
zFZMb&4_Lv5A@lZR{1P~Mq0s`aW~S~X_0zIC%UcI_(erI5^>dSDGJ`gJQskCoFkEEU
zQzZ{SHkuI+gJ)QK^p3)mH&&9!_;+#4RroMGz{k%<>VJNlXPpFGqJ8MbC0J$tnFlZY
zJoi$-W%$x$4IK~6ArLY}#xD~CNm2ChVn@3fdB4)W_SDe8cVCPhB;(DQKA*Vt&xo%C
z%@^3i=TEWfkHXfX{=cixUPh$S?tc$wZn)@O11}n>)(^t+tCv0&!>N2SNnNn`Pj}N&
zc!4=kyc2f+=FyxF^UK(c)xc-w^=hBPhwjoaRl%!A^zWy_&1(#jjj-QSTb76LpL&gZ
zB>!hk+n1N&tpx@SCGg~S9l0y;(D>7TMevDGt!!`jl4|+jQ+TU~1n)(dqG*R(F3dYA
z7VZiQ-sMxxfGdA8ZFGlA#HPJc;ofli5i^+1WL+~JK95G*0``Bn;1~hR=T|E7!E*79
zk+HB7^<)DNJSy09_$E9rdYQj45AgtILB`AQ)e+V7B3QCWRPGX-k#x`}1FruTx8nlr
zQ}yR(CM?Xu^VAK#=QV4Z3=8$#39^GPloh;t09VR!aM;2+7t)W#z`gqyI}BjDZEQ#5
z;r{e+o73<T`^HCi;TF+HnZmHFr0vc)nETesW)b*pn(xzx@HvgTS`N5iuqZ1XE<VG!
zkCWs#Y>~}{NA#U3cf$XDvM75B-}+MO%mUZH^wKJZ;|ds0Fv7pv>Dx-+yKjsNnBYH*
zoR%-)%VxQubZ}yN!G~J7g7W7)J=}Yu(X$o4VWH4Q0e?QH_v1Azx~ug86?~54GRH7%
z;I#ST>L<jj?P(J}kk4P$`LqUCT;~v-gbR}HmM_AG^fPm(U=^t@o@KbWvs~#1yyKDb
z+ew&7vqt6@d}8sk{1@1BxUXvk=2Cse@(I=p)74yqT{yo4eulsM*^g19JU7biG<gSe
zKK*P?3%ew0G`xpb{{3ELgxjurCHKId#jYM(VHt-<)P3+Br(n8WumMNgNE@u1_4_6}
z$$x9*WILQy&BRXXPlur7-zwO0^Ve;HaPmn@>l!#pit>pl98p^K>H)kG6r6MzKAG|L
z>0P+e$Fk-lu2;aDH#h`7xA;uvGc0S&TyzuutA1fi7hHWwH~cazDpz@{8>Z{h;`4`x
z6%!X);B@<YYaXx+)>p~%PyP@q><;TOC#jUf?;1y_>|y<c_q7%9yzF|bH5@SDww?-W
zsp@2$g)_My`;q#i%*Fmo3%<BpPr?A+6qe0)2Ck>$D%FR%&lE2x!7~vhUwfXS{`XO{
ztHZ0AVXob<+)_ZFJiI|{U-cdM+xh&z_?uI;mmjPv-i9B!CFUH0In&Zp*<tmOr0e@(
zJ^3b%-SE3@CR_O6h)?lx)43S`r7ImG>8Un;>|fybzwWf{gUf%N4EhKMX}QfGgpaN9
z(~rRVLS>=iu*&Q&kGJqq?U;ON_@sZwQZH=qeCW6oEZUxI(FO-(7CI@yg&#e~Tj7a_
z<qZn()o5j{I=G}DNlP2fjhQg0fm=?!o6v+C&lbNdhA;SKF&M%g8rO~$!BY=ErJsh~
zJ$3VP;p)RK-_OI0Vk1R4@cQQTAoBdp9Sb;9;eCEd9HhKY#3hI%!W<^`h1cOm6_>b3
z*hEb9Ulc4_{5mB9KGmQd8wqdren=M#k9Ze+PJ{Qx%`)DACn{TgQ(-%YhD(01^9#?E
z99Vw({F*P!e(m<*N3i{FSvz-l`Iy+*0{F+CcVAuM(@DpF=D}2D1*dJ{h_g42lKNbg
z^69KKe84uUkJNYRlVwdNB;8v0ZzFtRuZEg2{9{QnvH>2F;4RdFpVhXNkoTuM@x>8s
z`2Fx(&DXFX?d{YP@S4YYPxAhK`ni+uIK0f_ys;bRubT^(gKzjPijwy?Q`~o}EPOiW
zZ}R}$Z>j5l5LO?!^6ewcb*6t^4E`N{?ZybKG+kgX1ixp~FW^FZME~o=O%6DBvm5Ik
zxM<jJ7e726-V-VfA4$2C$xUp&GA{#12*%6og*DrGe|y3QxB|O5;W&X$5gzbnM_bvQ
z@R!r-MSgJWp5&VCu&*SQ2I(K3bX*tO1alm8aK8rIF%;)+gmvuSJ-7mgzrTL<&l9W%
z%-;P%`lIIP4?#;Xg|qV2aPoQErny<Tuq`e#2EKi8*5e!eu=k|wefWai+u<>|=wF;g
zGHhA)$9xo~i#)!Z2&-z3w!VXJgx%vH{i7Z~rRE@fGE=rN4VLBnR?-RYcepnA7&gB|
zFVg|rZr<mX1FQ7?%xHqkQylL<gF}lp2{yv+Z<vG&VD}44_bTDT`%dYU!h`*rwpYMM
zmhT6U{`+^+r>Pv+^VF+!G9HkyTyT5@H_kXnSHdpQBYi3Gwasy64RBZC_cIS*+ar>T
zb?`>jcXjvSM||eHUc<?=6DrZLz`*LW7WnO0SN<({Hj=BKj8BrbycZ9H89OSR$@rw(
zwkatPwlo-w9DqA^wsBsC_p@IR>W8ViOG16%EpB0&Bd|10IfFMGQo}Vq47>4Uc{{_a
zBM0dx;L+iX-;U(-Wz7%A;GJjhSy{nSS$&N&a7W_p2@6<|&i3qAc-_xe+X()^;gj_j
zzWdJFzyNMKL?QPF_IRWF@)Yc8N@+=f@tXdOlClQ8fBp9IKcq`4iak|^{eOmX&>{W&
zIESbbyor;skc{utlNb`D;Qv0-3~qtnG%m19!fy9(xo(D^eHaTmK=ShhMDKvZ?zGa0
zz}A-Qd$+^RwB;Ura9-t%76+Uyo3zLS|G4Qmu?xP*dfR*#Jd>-pk&Hig^*D^O!aV;v
zQun~?OeUw8;Ey5EU&Y}R>rHx_VV8UK*Tmq%#cP#R@I~KW*BxNWGj7^{ALBf}V*EEp
zm`d!@#0I2`ZD2in12%sb?y`<_i|p3MoA3eM7)n~C(+O0j6~pVZYTHP9MDS0^BKT<1
ziGW3TpQ>gyIX}Eu_?2oNX1e7kN9G^@_@-UIz<-9<f`;H<HM5=*@IW6Q$9s55dG^CF
z%te`G^A)a$936cJZ+u?4@&zsu8aveuKds<9{s*?&->TaImvSl$EyHK~UspE4&uVA?
z{ew@cO363E+6C0H>+qS=GC7s-_uT~*G?;I#X=LuJfQ8~3b*N#1itPK(;p%*b#2xU9
zFt>z!`1r^!vF-5CMo-FY_-IJkX%4t^v^yvher(bk$OikFyfco5X;<yC_Q0GDhleBK
zBg*|RS>Olx>h%WjRaes_M%ce~THy@rdevKe3(P$A^|2Pb%)P#eT;F&8AVD3tgZ^A6
z1>72S)8+{Ly=CqRx&P16tYeaJ{@Z($3ovUH)9oFwN3i%uavnUs;{hED{Ar`5H+i0E
zR*4>4;4flSx})%+1fCy^u)-IqsZa1V5l$0Yn5Fi5N*CN-%5AU_cDhn~h|DJ=l6JkM
zfRBmUF};G-=kCi<!j>1l%QeFH?1Pzp<{<v%oWxoM$BC|l|AMCqS}&0E;PFof4tK-Z
z$u~90`DBxz<AptNXo|33F3b`p7E%YN_kA<SfR*0HQ#HW%B~N@ygEwJ%Q32D9(YGYP
z4yiw8D&Ya=mIZSDd5m`8<r6sDGOCN5pDvs^bo43g9lC5w=9^Z(1s-L<Sw9<;gJ7@!
z0{ODwKa`1X<h*uuo8|9l_-3iIh97+TWU+S)ykSP$_agkl`@Y&ucw$QEv>V)iezZ9V
zwz5wB>H=?g+a(qN7rgavwt>CAu;pKYAKdtDdLG_lOv~y68#?t%nZiByG-58o`5H!@
zCh#zY)IV4FU5-?)9=vew;$?R@rt+ndF6_~1HE9PQiAdkA27lImVC?{F_8urY3HQ~7
zv|GTo?Az}tz?rty>Q-=HRF(jl?{0pVU1SV9>V$7N0!yV2h@XW|Y^V|?^V<W`In?T~
z68#efVR(m6?{y8h_q$6pncrr;kX~nj+ke=X?t@bkn6K@G9YgcR1>srck<--h)te9L
zNPDAgQ8YjaPt1NkECPFq2Il^Jg!gUywK17r%ihpGFb~^uF@zk15BPFz_ym7poOvPx
zTW<Jqa|GrPf9*=Hm#-+Tz7bYaeGo<N$BW<ncmupY#9<dnUpMKjy$fg9<Smikn`&A;
z8VNt!Y!tp9ZannqQ7G(Xnc~0)t2NT`--5Mewf-aRX_~}L#5LHKDsFfe+%&ai(+!xO
z>69lMoO<Smw;$}I6{o!wwh?3e<qyBRtvksGze=4m^@LLu9@f*sqAB$6z2KUBGh@;}
zurp2{bA~?;<R4x~e{w*4z19VO?(6wx6;4YZ-e&_#vNY!`z-H6m9@)Z$({~kq!RODu
z-f9M?tc|mi{;jk5ZG<_zVtrHX3(RsZ!b%J7sr|_R34Sbh|D!g1_rx9j53tD*^+I`A
z=i994TbT2fx|kw-Jo3@G9$0#6jZzezy~-#<`gf^<-+^LqffZ{>1?(SrcymuS#vf+E
z@9N>dX3F=v;FP=8w6*X;*{t<Tcy~z4J~AGtt6H9{h9y{{=g4^Ce2_0+CcJWFhWQOl
z;~w}Z9e$)e_?Z0O<SxUliSTiG;dXL8j<-$j$HO#Z6f0!>U}->O9|G&NYjBcyi0Ufs
zOc3m1e7Km5A1v8NP6xn=%zlGp{2;D6Jm3%WUyyk49=7^mw!;cu)pM#P@fMDGlXwd_
zGl)Nk<hSS^etQCD+Wp6pe4oVA5j|CSoblb=Uf4D_L_iV_o_pck2G{+)ks$@I|9hB7
z?)T)meHR7cKEc3?<ar$4vu8mF9=&^c%S$*>_}4jZcw)c#ObHyjed7HdxTDG9dNG{B
zRieTMPx-v*xdZoBi4>Fk^>;=cZWGh2aI(Uc+F88*aK!g4R(7~KI^@n}*ns+dJ}<oL
z*)XgR`}e%$6oyZ0FL>&~{c541Jn%s08y$66_pvfHA3Qs>;fpHlx@V&s`M#;{4~>d2
zP4>$f4*2;NHd6)o3umywc6dFcXNM>}baG6K1rBf7nMdLuVq0^{w!np%q1>Bcmkg0y
zlD~rGaM%|3RFad@Zn#T#qb&{GcAT<?6ApB%xK9ZuWd}uWhV_2NTv)+;;a?NW7DiZn
zzkcd(xb9Zm=d~={|MH=LA216SpV>b+Rr6o&EZlxFP5e9j*>Wm$0%p|}%AbR$=8mV6
z_<<7lVtOe2dReq-7%n#U5eR|z4<z0mgqaF5tzBSddf$8!zbNV8opORHCg+Zm`OLkw
z4?5Ox#ndbNDVRFLxX%(k5XEgq^5>haj30sTvyKOncu2dtkNsiTTcy8%T#u*Sv@9Qd
z*Lqj@2Y6<eOBp|0VZ%8?=1&HnPMK4}wjS;+op4D`>kt*(mjBzl1CHVgJieNV`w`PT
z+6;R#|E^nut85*d$^33}wN=bFm^x**U?D7Fd@N!PW_B#Dc@B3CEG<vMNvF0ZKZZ{p
zvGDo=Us27MAoJ1QV&;*La7gN=tz^DBAbru~GpsM7(s3W&l>GNmGR#^1GWQNV=w-l{
z0-yQ9GZY5@7<j&X2i{+sS#}N97NGTtfF~qObpl~?@uCkw@SO|R3?v>RKBv<k3ZI?g
z&2WXqG*%S?VHQIXGc$PdU$E2-c%gl1(G>phR4m;Ob~qK#OXl-$Sll=-!<&DzQ|iH=
z`S2%6;D<FipVZ($>OU^du&ULk0cDt?Tjq)qta(-OFNu#_wV>Xh2uljL*O7RL8P#uj
z0eHI?_c)2SR9vd9=YxM#^=vx@8&++K-3AL&?LI<&KgzC$jTydWxzJ92->=^H20ig5
z=^rNWy<al4bg+lzmQZ6jyx_C@zYN5a)U}>i!ojww3u|y;6}Pel9Dn1a*&?j!bM`!m
z4|&yY82tqsc?z%E!pZVaG-lwMH49ER*owlca~l57aZS@19&vx3J_!H$x!2tbPIRyp
z7=R_LmS{cUd6O;oI^c~}yZ8CS$?slnYlr8Hr|K@jbo=cC8sR6O=*LO<<%sR1Xn>E~
zbo-O?;~B4UtboTYzCQ?sYh4|_m%(!Gg@;MJ?9>frqi1k~T-%wu@MLuPP(D1|A3hfj
z-=w!bo(=1HrEZOdxl?IcGhr%r9;Imb#=3EGG^|xBY@Gy)xBcacg1<L>{hI(U7G{Qp
z!H2}>IMU&#G|HPp;k=gIB2r%ib-wvrh39E<`$>I1zBl-90Ia^(#+AfZMEb<ed&Bpn
z%<qx-3YEmGDNnd-Vy93(ydv+R>jdv^W>7DI$9bvWI=~Lm7cY_b>3ja!93!~F!#b&w
zeE#)}@ELd@ibbLV-l-NBqXnxRTR&Y7YklQq(}WGb7ksOQU0-)zSAmD!BDb`{E%Qb+
z$Kd%a#q3w`(m`r>894Gc$N%4duTQsrNx`oME-t@8`j@w3&4O^|UJbUlaCW(^x&YkX
zv-GSN{_3)=XgA!m*w`}!_YXu#a=<#3tQ$zY=0f4OjSTS94<C3x!&&+c5%lmmPf`8<
z$7l2#EPtnC|4Ph^*Cf)L_8y&Bf_JRQWRAh+nsH?lumQ*SrWyE%$ribB_<^46;urW;
znmuDL?C3eMa~}RZJ{;9eKJO=X;yZjvM-m6y5no8`wp)VfUgu2Lzz;9%iu*;<jVY`1
z;OfX1Wh<}~y@%pc*j)P06lwn(s@`l%f|ZOz=_$}(uxCicCBQ!2Z=}|de%deEF%&*9
zuV+H~7mm2q*<g5&-LH8P|CW$@a^?!GYvi?!^iQWhG7epabBvjD8DOW0Y85Y-<~rSX
zcKF4XD;gJI<)f)VyWns9BE|Nwhu4lrJn;6XAyRfQf8`VTJ+LO9WV#tV*s#lDFFY(3
z!G8{>kIh>agt<1#-#ra0yR)*1!E6sAnf2j<P#IOye}>f0Pbk6vStmOjhPU2Pc2I;>
z9t%?(f@KGP_DI4)2BAE1u#AwR;SrcZa7Tp<Z2$JhOA+{Trt^?8{5e<V*nW7PV%b9p
z-dr*BlozJeRlBbSZ(unn#shQ7bPJRI|4{H)0vp_C!l|hPXE_M$W`*NAGsd;xA?d+j
zM)-T(4D}hfGlOO07TBuZ^??CQ|F+eW8a5ApUULq<*+jie30JQa&YHk|iH@&-rs4gn
zo!w#$Q`Bc@&cjTHU9v4<R$If;FED>w+A9ZmVA~y;DL8HKgC(*)^QmKgb3ZIm+rr`o
z8yE6L_QB>q>P|SrOi{PaH^A3I#_hadwY-X{I{25d`9BYm-tVGY4u7n_%uU8mUoR&1
zmBP1&UA28-6*-EWY?$}N4fjC!%XVSmEZ8ReFYQ(M>a&si$#7o_{oW9`jggu)308Qs
zaE7c;)s{QYguy;^E52m>HllscH5C5*VeC;D?7I86(nWZF*XNc<*#0YPlQ%3}t8Z}+
zj@{UPzy;pdsd0_0k13gbeeMJoM~FO&fzNK$4>EysQaHLFz_Up%bjI+8^4s>w@X!Gs
z4;^?u(K{>?7EqL4)Pjdpbjs4;>cRAuqr`&Z?;gW{xJxzUV6W0-_Z&D~z`0lg4siC3
zd<H*SyexGPrlvSmn+NB6PBH9(WlA|elkw`4ON$X)uq5XX#zI(x-NI@M{N!!9SS2iI
z<TSAf9&6xkDTkFuxwWZaAI*s`b?~Nap`H!!_g89xWW3B3IU@Tv73~`@eHs~0*A9)=
z{Dy@hIy#%+yL{SFQ?Sy^%^&UX(QKU^ld$2?L<pHr{Gp`1`T>4Fe4=$2u9;cC`5q1n
zO|uw+ADNVV?}pXA7Sm?n<h7KA4mf*AO`609^8(J8HN)bIv&KJRSEUo58{xlS6y|@x
zK0N=_t6&@J%Lhq(Fe0K`r<|lSx3rS@U{m1jif8Z#Pm8Z){>Qu5?PviksJ6gL4a*0P
zF{Qu-xi_RY!+qwB(aErLcUu<&T-11FEgF`mF`VB9s|lM1M!}(FNukUz$NbK(VQ|h%
z?#E<)T0HW@Ih3TYTPu?JX(08}{;TlsfiVjb59IQ@ZhQsy%HaFW1%IZHZ}5htwI8wy
z!ME0!PI$q_k3JL#zzUOZ3Y=gce*LZk@REJ<K}T3=<6S#4pH6>alxzuCnfwbO^LN)O
zJ}wLR$QvoHL+~cM&!K1Ft#cU)a`4>pV+KR``0V?BGM~RmY3Hp8-yBuM#(AtivG4z_
z0pB;s<yVB|va;J`;Qmu|Csg621$!-NxGmb<>p1){ZETMa%p2Z#UlVo^%E%OemFmn*
zNIaxv`u*oku=}@cKN2rFVHAI!0WOT${8$TS%43%L`;eS})Mzz?H|V!l{D%D%pDpXd
zE3Z#ROu-876D%Y?W1I7jX%eogJ9)wwzJ1JZybqrI<!NgPdl`w^^}_LNefQ1a>YYzy
z>R~yp<sw^nueE7)Eu5Lme~QF|Zm+NjmcdII$DCbYsm_+iC9uU+H%ezXxFvX7K5T0o
z%IgLD@E(kP3cs&=UP1Oh6a@VEmjTDQHof<QC(Pror^D>$zg@TlZ)897Edh=m`x|);
zzISuQH69kR<=PtvKTNF{ybIfu38{s`K9Oh7M!>sU)ISBoZd=%!f?(EJt^e-A3BhG2
zZ^BDqu5sb8|9Ri%{&49vm(mz`)tdQ`AAFvr^>QREb5QSs1-z_OnVbN>VEg*Z4DQ`+
zdM^q#qIyJi2);8U{VWl-J0u@+5H6&;`yYwd`D@R}Po!Y|FsAoY5Ip%!vuYBi;G*&+
z@#o#K^a3L!okzpyGJL_rF5@FSI2brbp2r#`&*lO6S<tAC9{i88_$tXi_h|nYvLEF4
zH>c^h@EC_@3#nfp&KB5`{F6@g<|KZ0<hV^&2mDl@L6OAIn1(VmyI|)|^8vCyq`T3m
z^c76MFSnG`|D0=4hg#t)JyhDH{&zZ^NU4Rxm>x2c_)_M^r|}K2T&aybc^?_Yn4Dk0
z7ahwu$@@BGDLY*VkH+sQVS&vxzv<<|R4;vENj&LjHgnfgn10uU$QGC{s$M!1-ccyG
zg~XGXna4}A;O$)eM=4?FB&A#T;kLimcdwv5Iu><~HWqfh<a_Ej+!0Xr{wCZJH@u&;
zXUQ`iXM*AHLLbl0!e^ufg}vd$Ff}={z9PUWmE!|DiWobQc*(AgaDN+kdv~h_iKoo(
zP55mK-w8M~M&dD5@0G30U>+^GOwxY;DAh2vgj1J#WM9D&<-eMY;AlJH5BV@<!$-Mu
zaOF^k7wKQh&j)3nhWBa2E|LC|<Bdq73H;bZJ%YqP&X{#k>cLjQBHE<?);oG@jpXl&
z{5nb2_x5oM+ns`kzIHw$;|I#s9t&+)^k<BMJsc+L@%jX;EI#*18@^KdMo|M6qN?{L
z<C}`x4o{Tff1*c>Pr%|<dj(ZsdeJTODlorf(>+;uZ^zAUGXDB-C~)&pSnH3agDiYw
zBm2cea23Olngkpy+WqS=ykJ%RSsb3Cb~+~lvoRN@?}014TMflvCYux)Zuo1mWvw7=
zD!?>M3vZ>=I<g<GQlaxA<5}spv4^~H$dOAs$ap&YMa~W(Se^Sy-ZyxdUG6FuOgZi4
zO5z)xAN75CVCRnOG-N)onlSO14L<Pu-y~VzosDobV}}Fjw_PRcyFb-dUNOV{Z^F6D
z;oE#}M_J&DkMqh(;g-O)>@Dy*g-8OKKYjCX=VgL@HtLC!`4er|+8tUr<;3ZqWPgRh
z`?o<G;bisex02yIp_X$L@NjXk#vPdVp5PZM*tocQ>=qnw_qp!s1LS|E)JWFb4YD_P
ztikVw0!+z#G$}h)auIG*r#edJt6#=v3zy)!wBv6t!h)0DyT8LWH#>^S{CHZUC1DQU
zOuIwN6=u=WrksN9&!rw9^J&AO<f~ucDu!>(WIw>w5uWLfaQE9wk4U`XXta~fXE^wx
zySouw^!!iSEBN_oI$a(3)&V)rR@gzf@*3HHaN?=*d@1}}!`SLLyp(#?r5wHyJkmh+
zFHi{tZ;OMUgx$)Nge4`a?#9DaLM<*5u-YrxH&@_S@>jHk;g)14)j*hvLiHIxJiBcD
z{T%H0haqw|%sY9<(H#C#{P!mdTpJ$1bQF%hD#*+YvzVQ^FAKkOd9aBM=F6(hV1f%f
ziiP*UOBD%%jBvwZNjN)9TXwVkTQaV<y5=b_Tx@NsI|Fx`^eB+@iD#0pOW`Wl&)nPK
zsHw9j%Hh0YF6CR{OH_RY&)_3%R}$%AO6y<3FW?Prj1qM4YM^7xV_2w}cl&>^4Q<fY
zT)6c|IW{~Zo+Ys2mkvjncZDy(FZ-C5GvNP<odg!)v4tRuBv_L(`O7%m?3-bf0#~>w
zUK@iiecf3f1FPAaSPj8jYdPiPV6Rcim3Q#?!N^Auu&=djbt~*Z9sMv8jvSaZXn_Y>
zDe1#tMl%M<TDYxw?dC0bV70!p1~$Lr^8Fe-8bcA459j3RPu_$>57h6=gJ&D-v@gS#
zPs<nFf%&YB6|TefL5!-m;R7y>IhWvjlbj3UuyoUjzvTCF+j-AQ!0%PY?nS}nlgHP0
z!8=$!QIhMYt5me%fTIkqBtC>&7}W$f!93hGk>q)WrXG#h3~zTmCq$lSU(g}(#Sz4Z
zR=AQ1;9Hbj@k{V7x;pVP_~`A8CX?{nKktMpVT-4Nzs6yo2+1f?UO~1yiu>S|EAnB*
zaN;#ttzNj)Ch_M}_zM3a(Kh1wov!&Xqmy|{D?I(~!ax>maKq$r9sDPJTJI5T{Ogu-
zEu4PwSQRNRs=!d*GPps%L^2ij-BnXnLOw6gm`3jRHhay3e3<W807n9B`|0<QJh(~p
zZO}b<(qM%p3uZHwry$R3&vDu38Sqi{7)SCvnMD<&lHh`rKNF<<9;pTiC&FhUw6#fj
zY}JqJxCTqyvaAb+n+{Lg1;SGt#rv+n1EFg(<}m%m2^Lbmj8qmuX7IDM!`J-bJwZ0M
zhOoy!pH))cvHRNpora%>G~0N=$GG2qIt6Dw-|*QRo|{wh(}1ta>Z-fIvL>g_9)r`v
zLz`UTou_LSlwc0F{sXo!l|<WHY1lKG?ui{tcShMw3cky2u+1F4m|-q11n)fhl->%a
zto!&{0DjJ~>|qSwIq)Nw6aG}g{@nx?^YK2u8|F{7Iim*)e=KWV{ebyef7>x5c>7B&
z>lOG-E_0qX%td3N@(WJq+ash4zcFlnvH<U1e_uns|7h;_1AVY3?e{0-dTLou#=M2;
zwVo*1!}BX@KJ9RqaaNTBd}ra|a0jgZpOwA`JW3a$lntAzY^fmcL)&hZp-edUpcd~1
z`0Z!;s$|$fT`Yy<-&4^zmjH(h<+)qJrS(l+k?=j|TQlVT2QrMP?!wg8)HURK7k`*f
z1j80C!&3Ti-TQy6H(}}4(+tY6t@Gx;{_xLJ0>Q`NQnLz?OR(scWTS)dr$ZfEF2K4B
z_Pr8tglMR;E4(Z|l*I!}tEcnY!nbqMxcOj)eyw>+l1`~^x)DyG^6W8&w;ta(zyR|$
zs?nT*4dO38{+opI@BDGh4nFyKv2Yo#jO+hk1JlWf?4E=DPGqjSz!62Z>9g=+LP)GL
z%$k+LFaa}j=@fgxD_MQ_#^CTZF>Oy+eQDF*_b`L;f(yC7y8#MU-@y^}J+yvswutYS
zF4$w?p1^fjQ}&TdCrmZ%TpI}Q)A-ci4C~JGe+-3XJ~Eg#!OQCJnaT6ia=UV%2=+C(
zB_09SOFb%l0n=QSv$+lbo@NV9gWF@qZbZX_UlbTpVVh4CyQAR5OP9Rj;JkKIxkUKq
zdeWa5c<tOr`dIkusOsU%aM%qmp%nPZDTfL_SVAYHAqGz9tr0&7Z>6Ts3Wqs#5}&HV
zakO9M@4)33yLVu5L$So$V~jkH?pf7f6*yACBESQ-D-W2Hg^e{P$JOAtm}3UV;8eda
zS5#rYM_x5DFh!&JBp1vk(8;R|*Bbc*a>Bk>R_{o|8G7INXkgi_w$-EXi+skHRPfid
zC7Z*rR@%DC_%O!L(!4t4_Zp%PejJ6}g*D0#!k%~cruV>)1y1IZ{M-C&<+@>MXBQR`
zn7ejtcPo76%6Q}f_*E}|*(>;W6a5N5eEtWoe<`f7?dzNn%)jcoqXbsU-)zhcSNF^<
z<-xwwKD~S3I@5^1*|5+U_vfWVyno}|!zr-xo$F_R!yA<j=O)4y&7-j+u-9<+ohW!p
zMt<ujxYIYj?k?=$>p#{3`x?n+guuLZ-RHXCW0y0J2E(48zBj*uMY`3vuE0BgD=4+X
z`Mb-?FT?jdO`p`lAEwNcykPdC9KL#Z^SR!`o^XwLV|Y0nlpMg~1j{5b&{e{p#NAKX
z!-X1(?;pcS#oPxhV1Lo;r*q+ow+~y)U_Gm(>U6lFL+^<p%;YvGnF(KH8Bj5RcW3@c
zO@e!a?g(hYgYSgcAHef<sb|$;u|I~hx8X=H)1%6;#^W%%aCp}4+khhcF#2KFO?c|=
zlX5Az(z#td80Oj2|NSsrxU|IK4O@gKc8S1B>RfR?u!Qgtr~UBP>4X2d!d;uzPVvDv
zYz_U~;D(<H*Z06;XZ=r^!J8%qk8g!H?kQBXg#TN;@re<>`l{iv5!`!Jubvh@`*M)i
z1ZE4^aE=D%vj1{N7dAQ6E5AO3`DWN}8hv;+DfHbc%zKE|UH$(SdGHOMdB}EN6Hfm-
zBRK;%rwFvGz)r_%*~Z|sX`z!RVAIz(iax`GUk^Py3TK6y#J+>ynjPGy0Jll<iVwoJ
zR!5_cz-)6@%Sz!t<23$qFr|dCehKXHam%;_+}nDsDjdGv;c#3Q_V$n2a~IZ@vl%`{
z(r;T)hQMmBQijLjnpd9op|Gv&p;>ahR0<pR`@+mOIzQ>a@<%pDUV^`$dvnnke*Yxm
zv;#b5VdP{AYn_WOcZ4si8E&wFN0haatl;{potJIl%U5;&I}bmh+Odt4$L_R>27UNd
z$1NHUcp$z+$N;wFyY;{ip6s*Ps0oYvE3jOK%M8ukwBS8r3i+gd#5mIHo`A<T%?pzH
z;p6jP$w`=f&wNb;oU@>MNfM^2QF{>yU#yfKk%E7IR98!c|C97i6M}0b@5_<;nOkN~
zvkx}1i|x&V?}<mWvcdD0x|(y~4Xz#s*x^H^z2~08?-O`>H^8>};jfF~H+8F$RB+~_
zD9ajHY2(9(L+|nVK;F70*zx;-%zK!Nn|)t3ELU&$u?}uizYtpoGrQ#Z)xym8Z2y(P
zXCmada$u%oF-|0Z|G$WeY&i5lXkQV`^E)9R7GCa^eN_toXSv841J7&|5i5Yb?{65s
z2^Up#@VtO?7i=%yfF-nRZj<->g3+9jKYUw~j+(sRC7+BIF2Ow=OD^R7c9C-_b%6a^
zFI$l3@u%{mo;_?*?9iGFFBUo-vVe16Whtk?1$W!M3}LNa<~>%h@~l9#87zHs=#d4?
z(Uq*B3Tu>{J2H@f`feR4q6ly0y;U#>&p1wS3c?@8E-=c&W2dU+MB&#(y0LPwU0&~~
z0PNU)hk+iZHjn;~qzBw`j-rLd3>&gZdQ*HVZC^b4%R$G+1MqL9z=$6B8vYF&`F`oc
z-HDIj2)XcY<nw_X&-P@)$FJu<;D(vh*)vYUKb?103c-;#*7lx&TSm+x_+W#aTj%$~
z=V>Z(_rvcR9B1~y>gE0?h2fA}DyMm1n~Lu967ZJ&dxp5-@H@K6V(?a>w@(@2mH3o$
zDL8d4Ut$Y<qRiAl5?(wQmP`#RrDS?2z!4GVyj1X`lNMX#;RYU=J1cQ$?`SiGPrwdT
zo45Uit7J@HslYdvr~K#P!tMPO2Jmvq^|0@-DplA6eRw6s?B@i$)$|;*7hKeQe)A_d
z-DyL<2iz=r%x3`Ry!&1u33hIJ#?l2h2dQQz!*h!r`GfG+o1S%<u-oYihe>|9T8eWS
zFinqsN(U?y^89-noK&Hr@CxqLJ)++ZTlAatcfzuM1LKP@m*==o3w$!eU2PfuGWd6M
zH@r`na)=A>(~rG7@>^loRYM<6m|u7UOC8)_pZQfDep_uXRtbylwa`|CODHeBYJlmK
z8rIz5!(7a>6>tFUe7qYx{hiwI1^hhkU(Z$8#>v&H06rlu=z0ZqQMGQ%hAo~8-42G8
z|3vC$!3!@n1%hDh!yy&Pus56fG19(1aekqg1aB#H9=Q$I)8;&mf>$T3SEAvxrcTjF
zIBnz2*eJO6Wm9}8{BNgEVIsVb>MLgme6;h$bQ~;U*Z;#C&d9#On*(n+xMR%&j&V+|
z$%f_BHrYDD#?)7b@?q0G0^jUmPs13WJUAt8w}A!BH>&ll8a^#@!txw!x?gd}OW4^&
z^S2E=(<uFM8RmJZpMDnB9TM?df@2JI8T8>_%@4Y^puekYV|kzj-)|3b+6-^yVxc(!
z&)czO?S_9Eeb{;o_S?Uvz(MktfAEum`xupD55e|79X1_-`y1KCC162DXKxXBEdQS4
zF<9A$;o3g<@1FD2WIS*)b<5X1utoF%Un_W<CMN|4T)%gL*%I#h%<H%f-tb)Q)CJgD
z@V++_{EV7@$_*}QO&p<xWtQ?Nec>c?&GR&HcE4ka4@_%$x_vDc?N#c=N-}=x3ZT?q
zg%9=w{_uwb=eF|Cz&1H7n{UEJN;OZW;ns}X%GcnYo;Q~VVJZ7n{!4HgFW2%rn3bP*
zgB@I5Zg|QOHe79(AmgQ-w8_m*@RejYc2oGmy_9$pc)e)nKYiHGc!b#$&OP%pK@U#%
z9r4$Pb;gqd$atyUiEZgLye024s~XH3&T4)N{*WiMO2$jxPqf}?!Y1R3;_@(Sx_Yi0
z>?)A6;|MG+>(4I_mz!MIAkW_;-fMY3%s3(=DhwOtJ-l!L=1lpon+Ik)8aVYg2K%>S
zJBoI}_S-WoSK;$E?b>W`9dq*QUvSmK6(=&DYM;KO^Ao;rxt_xUZ~LVpS^_`JVQS)n
zCG2>Mi{SXj+~VZ>+~_Hcqu|Tuc{IuI#W9YI+=DB4#5p-(Ipzkoi?BbZfQ$glx%%Lt
zH>@$c_bnOEd2foLbAf4<=r)t_Am1y6?T#=<Cv^_FztVBZ085xnaIQfXzEw<1X#vYA
zeKnJTDGvVUd<L%e?C>M??Pu7Vc>{QX?bQw?SktD-L=%=7x}m8H%dhI$s>5T7K3}xq
zk?~WVN^l0X05=&Qm&mrgmxsIeF;|lEP8M%Ib_6z*9q+d#?z-A~2rmEDe!&K|<M%(f
zA8sE=40j>v8scU9;Ne`y21hv5TId!V{44XoM-SNG<q#t)EOu;lyF0vXspm5dd{(_w
zjMVR|Avf%(;ei*|ZN1@*AN-^j?qfZ)<<Rv2m?Kl@<xe;=VO)>YSCg~se+S{LA7QSf
zKKszTx;g-RJk-y;0*C#r)@_CdseZg9^9|i0+kr-y`AX^H4S3J@bB_z*k$Ls4ci<E%
zD$y5k_VB`IGG9qPv*ZvDM@9Lsk@<|2UgBIV94jf%aU0GUzr8O2el40h9Sxf{h&=O$
zciq*fAo=&kaL!o5Rjp-j<6t_Y8g~nL>-DP)F|amWk+L@I*ES~b0RHozZi^;-H0I87
zJUpkMM0p54vuB(+4Q}EX4m}8CIaf6WW^?K`*#mb}E?Z~AjR6jyxL~6n4-TcnC3}t8
zX<(C%kJ?Y*1n#+1Dp;?n_G=CtSTjw(8jbP9l{M<;@TlD7yMN(FBbBoGaP8y;%V{`j
zCyz%BY%dh<JPEfHu579%>7$`<KaliwA)zMt$uiT~VK_zz|A!LpW!l`>3nys_jkLiU
zd68;8@CE8M-`DUl{)iW?uvmdo!FxF1#GUG9_@@Aq`a3wUEli*Wey;ZEC=ce#7b#>0
zp22@sB{F#7<0eO3%VCA}Obb(3z+Z4%0c`zXd-FNCtA_JQDLf!4$KnI$`4>tT!k44V
zE?<Oqp3mv3gcIC8wv%{}McEDulD|2`UV_An+>X;Nzl6KgZaAdDdi1gs)o_*Gj?Q#A
zdRjQX2`)N$kh&0-E<TlB4?8HeI~Ku7Uu31*;E8J=f~w#Go8vX)ep6BdW~$-WiT~s1
zzT>g_9yoy0vXhXqDI+10MCR9wl98+=nHiOktn7*?Wy>fsTK1;UFrp+1$(GfyvNHO8
z&hO9n>zwC4&pqp&^_(kZMA9Sp`9nT3-(~;$uw^UE@<RJYD;%#Qu+Rxdu3mc45BK`)
zr1%W4uk!C6gt?73#*_3<9FkF-fZew&aFFyDpq|Q@giVM03rAq3vs-FrVYL_UWrpEj
zPhRaI^K+l>mwxyGSC9TN+l2W(ifbWV<FGY<W$kA8dY;q88Cb4v%XTt9IB)oG?I&DN
z(dEel=kFbfnTI!hy&`P_J1grSBG=<P5#CDXJG&)a(}rM)%elN4;jcP3#roj1^j9aH
zVPTWze=Tr_^_z?CuzLNK5RzWB)?YGQVTGBBQ<d-;sn(ZXuyowHo^m)w`i~%qA2d1U
z9|sTneN*v;f9$@qDHeV~y~21EJ~BC@<O8?Id=Vk@wYoI%Z@l2%U6W`0;AaJ0aSrgg
zl4`F|_$ieShdt~{^Wk|A9Q&dAml5n)9N!oY-!MOY`6TRkF+c7)%uxOExf~pO#--pk
zTqb_{fGk}3?YcjS|Lpw>7amw*n@rL@m_yKXmJ5#8*LNWCFK(<9+XM$R{RxVLGgS-=
zH^8E9o6Dl%&Wz}gnR_Vjf79B?{4~oh5t?au!7X=lBAlD(*wY7>(<$>lg#W0oTlT^a
z`W^Vm{PnVLic2B<PGD3%9ZqqUn9YX+wNEg_!xx?Q9C3yv`<@A<!6i@1YaC(Wtl2x{
z`iT=_Hd?THvC<QAeXkd_;~H>t`<1IHaOGvTJ!0@3p|X2qe%((rCubjgXj@M``M%Z0
zL2q`r*nRup6L`Gh;=i4+$RmEA$FM+6gu^yC%A};J4n9`Svp@%z1yos+`TtojMazwF
z+r)RjMp$(Ji(yJQ_`w8Q16+OL+p*=lcs_mKdY~1)6lvVH2q%baYk3d<r1zAYf;G3F
zpy-2H+|H@~g!MVJlfJ<U6v5AiVeyyN#biCBSa?oi2<|mHtvd`iv#=y}!`aKhL38ju
zy@~WMu)NU~&RN((n~weioVpgJw*l)ZZQ5-t&9DTQ-y{Wm(%_HZE7<Wt$R-+?rcr-G
z9bBV(A(aaD6!&l{hu=KERL%%DindOb!XuN$23ujl*;$iZxLm-<c?Znmb+q>x%)!R{
zfEj-2dN=Pr%x=w6$pQ0Ae3wdsuSLAR!3OJn)w>t~bMZWV$OHeomOgh4cI0PMAmNX%
zc{u98vdN>TNI3hBhTlhFN)P8*@_kok?%D2uX)24l$nQ~9Q5a++W=pubg!{j>&hB<Q
z3gf?QcFSp)TfX%79k~3PNy8*uaG5*W1wO1W@q7q&X)WA(5iXwlr#T3F+ckUI!9s8E
ziFd<yf1AzO!&GUxjh*o9^~<L%Vb?*`Jd(f8a%-Ju;oLr(qaWbC9n2~wF!R0D{q^vs
zqQq)bIJ1!d-5Z!wH%~wx)=D>uFNRCypL3ps4e~=Ii{Ma^x=<as!_?qAsV~&yoJ%KQ
zPoCTUr2PN%61UQX>o%K91;U5EoNFiXmxD6i`@_2Qm*rLAYgrcq?O`h_|6CGZqvs8W
z9b7SZi%kjklaFdW4rltfhLQNK!n5bedXMg3pIJFrXu)8UD17CFYrirqZSyu&1YUoA
zRqHUEAal!LJKV8%W2HPSY(e{L8$A3U_3neP`77B<3KHK*cb5#j|8w2Re`w!#cj*U-
z!>z~6k1WFKn=h>GhZUGSFOl}YKk9NTHyrwAhw)FC^+=dDFYGk@S#TWgd3-B$3mlT{
z&oBU&@h4MI!w!c}_4dFtWr;_A-@$&<MVdG5aPoRa=@hK6$zb^-%;AxCvk%T+ryFR5
zhh-ma9DqYNSh3c_Q_Lx!Kft#R^R1HS;gV6Z-bXkvtSyc_FUynTD;nSx<_<}+zH{P|
zL*{!pI*BDd1wJr*QT_`Y?lvpw2d^_x3V(xxS?gNJdPe;Bg{XEoVd-iSnco-M^O5c|
zeE7vNT{6FaWBHAH3%tZcCG7~eTPIGD>&q<nw>rRUa*-x);YT&erDx%dZKvDoVZSDC
zeM|W7;}h~P;ro<whsk<Py%T#`4NN7@)ouibYS8nR!8q@;;yAqH;HRW=xJ|I(<T3d1
zw$~f;;i{n4seN$Xz1-g=uoPX_Niq23#oADEeeRWeM+D&0X|5Eta9zNI&BAcb+gR~7
zcs|(RCs}_m6jgit34RiOA%Mi6al5s79*(BpX3qt;xEu~xfPdL4p4|g`PDZ-%AwU1z
zZ`R<1KMKhG=7)6$cV?3C-`A6_o`N$dZr>u|OobYA#>5MMCP;YMRGQx{xNKejBMDEZ
zJ+>49%d18F<At~RUwM%QE5v;Jz7y`e#(OvicD=VDp99{NByU#%xBodB#|&G293H5I
zsl?4!Sl}#{S<lz7iA%~LJ<QP_JNpK<KKM*yEBxK#QP_JpO>aV!tgrZ2t8Hq9eKP0o
zQo$WB4DWZssi|UD|Dit_9Wl+?4XXyq^im-F!q0!t24O8@$Ja{;*HcXt8iorRT!sI_
zMU;<U{($4W)3(mS`2&iwzu>B?kKE?q#5LWI^RPGdd($6quFatKB5V}X`tm2tJ1{f&
z4<4Smv%4B@R$!>3M*A7X>UWd$pLzZHOqk&6i{H19@xV~R(dwOW_I#~V9Q<_VtRWw)
zvhCMKGT#4}{YhR3UVByP;0ceO|JlADUKOr8NXF~6RgsMc;Jv9g6Uq9AQFxB!5!jI-
z$kqflPLn&S2+ymjzB7emyifhmfDOdt^2zwHemT)r3+A3(VljmMq)J!yVEwYmzuNE(
zxrHkRurW=x<uSPA)Ap_Au=&$ybu~EN>cq{{a7_5|C+e`Gi8GHaY)2y<r2x-d$V{|@
zt>iLI$$0-(Q-6aeJo_$K=`bv@W5<79@H0-iN3t-dw^Vl^ycWhBE(wR}+8GAJ9S#k@
z55Rx6g-qUphYIg^h`@p_MK+OeEBA3(vVKByyKN;Fj#ua8A>-{8*ENrLI9jneSO7jf
z!@=+XKKIMw1S_na?m(FVtK@7c-T~`~-%NN4Ye~FIB=bj#D>>Vr!@I9uT4#i7zc)TE
zfgLA)H2uST(|w13Ddc%hGj~gz65$1wywc=(e<>@ke;na63`QAm;h-#awMn?L##4^;
zAKJYhF@A+zyl;rN!CprWy7$1Z4?lfN`X9BQdrjM6pYZ2OJ@A1&PA@xP?d-NMr2lfq
z;<UXJO#kN^73u$Youk-D)-OsZ3@-hKKc$I&Fogv*`>bc+bJ5-BO<=X0yq0nJsbUH{
znQt5#9gzJ6ANhHzl*~tl{?1DufgOf-*$cua8!H$m;05i04FYh~mFrgrVBg#6Mf7me
z4~Oq0K1IIA2|74PSxWaCT<i4i`y}Q=>x#S%lKxc^yY|d5EYD@GTn0-lWYGPDb9mb8
zNqUxQYxs=9W6P80qhaHRcVd6T|3z9&--W#&uqcr5E*1*gGw?-*A^tx2%!SZCOPGP~
z%gb+YdaahGG5q{T=A#Z0U%jc;1l~%YrrZwaC*9gh%D4GhS3xqr`#^^(Lm&3axcI6G
zX3c1%BmJS39=6*R@E_^Ib<$tj$iO2~4j&$JwO56eXZ|qe!~5R!52(R^)F_|j!c1<d
zN9Ez^<nFs!aAN?~YXz8jaIJ~VFKfpH#fZX~+{+{L(`!7V4C1h@!yla_I3*<giU7>%
z_F3{C%q>qjEeJDRpM4(%J7-jzaKllXz7*Yr%dhYF#6!a6mQLJ&3#UKIvB5_cZ;aW&
zxA8pUg8#*w(jn^~H=|FMk?X6rZDliom5aVU7KSJGcY2$`?DTt7B;f)7=V$fd)jL*|
zq<y*abA0s#>=MSdTLiYsuN%^Y_sHrc?}M$aZ<MLRoJtqIFu{eAjwwfA?V1NCnBlU!
zg|c$67|+RaTKHdkJkJ4Gxj9gh9(FqQy^5?a{17{sv=MgO<7>DLrpkVKjRx)z`8u@~
zj@Wo%i~^pGzWH#W8~eXhatt=Z+YRRw=HYMZMpdh5e<`*;ocady@;L}nBD^PbXG9M?
z*|Po462g-Yt-H3v*EqIO|Ajm2mY#fsP4`-NkHh~8Mxq*Fg9S5#Nmz+ydBbZs?&04*
z4KRP}?06;IbN7c!6P&EB7gGq&<-H$_g*7}ay`R7l4y9)C@Xp8k^s-=2g@-YIu;LCT
z$6VMwvXa9WK03<gl?^jCP6(3ztJo!V%QQHE<$am~{L>&JAsLo>#OSI5PjJ*;i-C16
z{+jp??wDdOzY7o9id9LH@Wtb)VeqrO%?G7mPd+R6Q24Iepvx{eTq@Jd4}M}<G|CQt
zieruOhSx%VmC?X6W0u~R;co6q2|D=Uq~$MXSb15feH{G>zis91HZWt^FP%wve<0J7
zv+()W%23ju>;L=wwF5k~YmvSccDves$QtHQIi2?mcDiJ#=LEBG#2<PJ^UJ>!w1>T4
zSY5gc8~G_HUxb6ak{0j4zj)ic$oGp-w=`aZ1+QpEyTb!ZlzM*fd|y|KE6npqiq9Ed
zGAsNS2sbvy?mrK+`FbP=z+-{?6VAeh)c>_ck<U8>Wm&+#CfA+rz&c`Fj7BhR)77>-
zIBhI?-wBwfOXvd0FSYHGF&gkz_ST<Y;A5dqGD`5xe+TrsV41~tA2i{;|A{6~!(lR&
z)~fJWZ}Ptx_^3YHiVnQAZD!|R`0Oj{AZ@tziEqggEPU$Oqzarmp3lAu<$c{yXNx@S
znkQby1{>+lT#$m5B`PM!dLW(JV_ylFze3`=AUtqX@4FBjax}O65FEc@d3FyR7Q<sC
z4gY3-XwC_HAB?)84wv7NJHHDqQCZnd*56{E4YzHBf4&h@I0iHJKQUp1>(0b=Ys1~9
zC+oJrg?N*&0sM=3r`Be8-`L(eq`i3Zvo3%2HujSW8RU@m#9TZ`W(D5<oqdq3uTmZR
zLOls9$jSXB>#MV`qH&NC);rsh<1FA2D#fLKcy&`*o-ORLW$9WUJfD7b{2Uy-dQ9&<
z9Q-4U(h0VZ*won!SIv&6koDfHgSkqtVLtZxQdgKV<y?Io%$}Gxbpf_<Dv!^Hr9Kx@
zd%}vR&vWO&l^jkgWId5Zvt}v<PH?t0^M%!1T&^U;FT6RTz2FG<*P6Frw*mTRf$)xx
z7e0i+!#s9c0dNxyyG$T_$Hu^lw9m}H>R$N6qY{tTuEY5uE`pwL<jJTVci@^Srsp1T
z`}2{)NLcIp3sx7{E5E)u7Ut|alk5clXm{Ea4QuQ#bHN+2mE(S>agpc8En}lUCh*di
zF{1>SsrmU^O}JuX`Gp5?lkm}F8t{dWhQ5jLWw}Sj9I#4kob_Ee>FVY-PI!0i^gr@@
z*q`OevcT`UygvBDW9BxZY_Rd~Z;sdCt0VNWTj68hpYoFD3vc6J3TAlQWrYxX__)@|
z1akcufeHg-*yLJ&I5%A8p;k(sH}f=d{6eseTv3P?Jh!owMFjT0wx5qYPn5XK{P^Ig
z90zK$e!M1icYz;vWSD%U0B_biXvq#|JQ0W><@rLiT^IR2DT!yo2Vt2)Y8CQ(;*}>E
z$@;b~|Dj59Kb@l<&qUxp)lPnT*vYXpnjg*@_;;THX3vjL=YUncxUz>LvA^lVL>Mz%
z7oo^I0-Ge(STe$4r`XKi!I!ztT_yD~RA*_R5pIb)tV`k>>V0I-gFoASup`%_5zc$~
z9QNjN+{g}Zjyy)23A4Tb%R#<B@Tbt-3^;vTOgUM<SIT?4oCJSK<7pFyL*r5c65$h<
zN?k~Orztx!5d|wR)}_k8H!lt>M8Zqq21iJJKYrieG88Tk`edj`!kv$e2E&&!&Q8n2
z+ZTT5`oN#Od#FkM-+Q9uvlo0<*glgyzb_p!QgnqA`oF!<f$i8h-d==l*zL?n{r5Os
zC1wvZ7ks%)>c7rgzhYZ>{;CBdssG##+*}s0!BnFVssEiOy&2{(<@Besr2Z?>@_1;&
zKEBdkr2bn=^sH#X`X%M8r2ele`r0VNp?o{UN&VmU>);PX__=5DMk~1CznuaCaJ<AX
z4pQI0wtslK8%{ptK4Sy(+Z24KfzQd8)40HLUAE5Duw!w1F$u3u6CCJ>!2ZXl|5}{k
z3;({_wZj|kb19MXo49UFQvj#4${JsUyMNP0<-xy#w4zA-v`H<iRM?QkJcqOwm$xmC
zCBsjTIt-HbW|Oc?#VvSZ#&wyr7mmRrO5w1<+lAPx@ba7BoIu#dfBh|KA42WgORm8*
zY<}l%z`8|l+*jZMVIOZ&AHA1ZGu>ed-NhZZ;f0J+24`5iXG|j%7UP&^KM&Wxu^1-%
z8@_+M8+;a)SJqp31TRzWrL}}L%U;Km{-+gd^W{@;J6lRa5$t*Hx4$85Zb)lW2=5NO
zJFZQ_>%T<5f=8k==QZJpdIbrx->2in(KAZ0*6}sVHuzMWu9G}Wx&6#)D;(84*DeKb
zq&>{i1)qC<$?O1p<#b&B7x;woj@NtP{DV%7eX#A5J4c1#5tas<UYP#AbRiFH@;=V@
zJ8U2M^e{Jk^2qeg5%^V){zF!ns-sfkCv11>jSvfL$M1N40?s|dw7da6|7l;~41Aa|
z(4P|SC=BG9hB=yq#+Pp4d8w)>y#%jN##~s0eXoqV%)>f^gG!^Y40lrK8oWzSr+x(9
z@A{K(6%O^775@hRx11zP_Del+HYxcEcQVOeri3@_&c5CRyA}+F(ZIX)Xc-z|vD1Fe
z>-hY_E=7Z2xOT(B$pv!#fX~e#ut*1!$Si!Rx^A-*y!%?rb~1h{{$t?p4680$>Wsm1
z2NLwm;qjhvseV{~a`(H_@O6*<G(E6~9n~gP*xTaO%qO^HI>Jv4{^m<@xgIXR$h&Vb
z9Q&g<ip^fa2dnNsT7tPh%qo)dkhI`2Q3Ow$z7~243lxl<D}kS=Z+}e6+ff;%Z4Pik
zE>CS1JQ&*^X9sJAi?^o1yBl6VJOUTc9xRWC%{Gg2D8N3P*Jfg14RfQP`{30tVP7NQ
z@?GV&VsO-_0p@UczN7CDCoI%3yGov~dCc<pTyV<PM~US5x~TJECo8<uqdbVzr*q|k
z_jbV4Jr{U9;p1~<e;HtBtGusgU?#&XyX~;VmCK%_eHoONZl!^9%u|mZhxaqQtfPm0
zOWU96!fc@ursVqJ`zahqdum!W@MafmCH7?#dEVF^aTa5OH91FriNgOVQnSeQ0}t1Q
z?}Oh33p3Kfeu?dFyJ103qnmVay-n<M(!L)*;9&YU4C6J5+_;@ESJs_REASZs5j8U2
zQ94?!-Uugfn21rsmu~jFY=Wx?`4lNh_$&9ORM_3oN@yAVMS1Ut{~o}JDyP@~!0$h^
z`d){FS~ACe!UwE`=5N5AiTQk!@Rnkc`YUkn849`~n6LJb(p7kwd8c|mTyRxpn?20V
zd_lYuzP(v7%mMDmyXVjW5AT*YGlm%^e(SfuHzXC>P2j^6R8#NZyBt+V^x(*+wq38_
z!^UOB`osf49(6FU+Ci?P@TT?QGZk>_^L=sJ@F%@3t7Y)Ll<ajC_`<;X@1*~IOghO^
z72c?SH;DAV=Y&`X<lqK_MJF<zs`|CTR37FU+)a}S|2OPgCk1acikKziCGJjJIca!m
z!;EMWOn23oZVyaRV7cQS-0@Q`L;x;VZ_^|F|H8SwMlA40Ds%gISh8F5+jcnJ`rSh^
z-n#Sm&~r-ou(D1$x&D1tgM$=sw_u>reK@G6DS7cG();_WQwF?tZE*JjoUq3>>j5m|
z(e`Hq-oM^iodc`uj`|G4#;0h_$oTL6wKF4MVVmt&FOmD_8o21x4f`%-Gm!g#=rZ2^
z5#A8LZBHqjYP?|93U8-VtSg33{CDwnJ<JmEu(KL&EcViV3-7tz;$8(mTb(VehO=ix
zZjte9_TsW^6<if)C`|IJG}$e^5Pse8Op)a0VP4O@1@Q3qPd#Kj?8!fKHwSjxDl|*R
z%l_gsJG0^JO6@zX@KmHzU@H9PZDJ-VKY{!X)G6?a2c;hwZ`(O^sszJU9jeh}JU-Ol
z)))wPWwlX}@sz+=g`*|Rd3PgsA6)&raK-|rVNjtWpBJ<9lHLV>JtH<le&4Bi?_74+
zRdvPoEzGoPsJC<j&kKwB6E9$iLfxii*lfTlyb=~&kx3ed&r3PGlkxi917ggRaQ^+N
zT$0`jgUlmc@VL-I0?Ch=#ElkT;rAH|he&x7Zt-~A27i30!J7&nD>|##4rj_mzaZt|
z?08$&JNU|z)NE2-me$I6T3|0H)gdxI|HYLsT?u=z7`2e``H$kO=c{3}NUKL=d>#_|
zCOsW?xUE(h30Ka4-}?~0owe{M9QK@l_4f`O{`w<rG<@#<VBl>yj#@Z}TwhI3Z!#2a
zr(S!J2zOm`at(p`zUiAMz;B|ycKg6-HGHn5JZ{vQJ?jl0<a6Ij<{K7Et(sinzhjDf
z$o)?&c<5b%`#Nvek@_|E>U+68{5$Yu=X3bxtpz1JScoFs{TYn^qvTk?*CWq`lkzyR
z*?s?Mm?P=AP!as+)=0b|+(LU^ft1IscE7m|;J29tUrBqwf7J5EQCM?{a|_AetCRMz
z8t@%6%M4Qfayz@%6yS66j1{E(&82pQ$iuv1Cr**_CpDq{OA4N{$_OOw*+yH16$zMw
zz4!m+$-W}rS{UBx5_oVF;R`O0CI#V^qVl#8*p6qXAvY{KY5f28v+*?bS5DZqCL-hq
z!j+wT|6_sArPSoDz;5mOdQ9+ta=(v}@jT1V`f_TxMT+GrE!t}zuE_e$ut|bED-C>9
zdE@@I>lmNCZxUgG>skj&R^UIiQw?N%k#@qEdk%ix?b%Dl7ZeVXnKN*S`F-yl@Q7Lt
z!vt(G%{i(F@1xAm8-z#o=#MJH_OGNhC*f@Sh%;L71<J+u<HTiG_K^O(h%Ck0GVH!(
zP1X>OUaksWg10qHzcqoYW*Y|C@q6F(g!G(+8NT{D?1DdSj@?B1<Ntyw_LKB|uuF=a
z^sg<H@=7FO3yxz0q`w^hHh1Jd_=NrRJb4~VZ7^|CfoJnJn3DeRP}-Lb+Ax*N;|t{Z
zzCh~}rUl>nRNEE=t36%f)rV^-9LGq1;DcI1_6b-d__{XfFBFflD4D<mPTxF8f7ixP
z<CqbA<P&9g3Y@4@H%!Xkp&8Rnxo~Xrz_b~B>&Q*}Jb2qKvzyj%cGS?l8d&GKee79y
z{pGHOT6m*gzvy}Rc3vZ06Ks9RvWS%TAAdJpd<UoZeAXuQVcFg;iR_2(8E7zefgR$X
zu95zic8~m&2mFos3^VDk^8C&9aEGnV=3F8DS-M4j20wV)_igE<zq#9Gc^9dFrK~oa
z7vcRiP6a{mV(SM9D)b-E9+i0M57&=~#8AV*(+`Yp!bMa=kGH{%`l~(H;R0DzhV8J~
zijx~@9~kIL4)eo`3oHQ<usR=4@^1LkpCGnaxKk*)K?<(e$iC+utk1t?pERs(e7!0O
zw#m<kw}9=qi_M~8(GiiAGjPaD&e{7g_7@qD{l{;{YH8zO-7Tpl0dQ5IV0tRdb&PH>
z3VvyICYQwL-s$W|{=d=6|91zu-sNQh)<(EsMX8S5kM&cRf_nJ$zJa{~aMQb!vwd*a
z##dFOy-K`x?{+Ut_0xKf8~h}tSC8zkl>D{7+ZKNI<nK?i-t#oAQ-$Qe%bz4Mvi@|?
zO}L$umzIsWO=Lf%bzj>NJvd0G<c|)VQ+-tPIDE$NqbS**I%<--le8yI_S*lE^)Yc5
zqf|MVPUuu0**_UQ{cp<wco%o`oH6WpyC{ORFP1JHcTU057thQK!7Q3;nPfj@THID2
z(!SW7HtaQrD_+?gV}%6_Drc=>XTI&9nBl(%8$_(&8heL~4RE)Hfbx0x<=XbWl(72Z
z{;Om^rskRRf2UAi4Fp0XFTgSTm;!#oqQ3Xn$ogM<e>Hy#>@7R6-IZ9$I_DiMRWdi~
z4EMY_H<S;%HSSv_|F0UNp>oKB)dWvclj}L=o4AF*^mF2KWWOghRl%=Nc*E^;4dnMl
zY<eu@3@aOJ7LxTuRq>UFE^zC~2{V#jm8pHKa<HMxusTW4ihIIQM_{p5eRi@wSiG6#
z9UnY3Y_yr=&s>YK+HT_Xo^G-pC}^X2jRx*7ns_4tSFigl(ZUI>*AvP5o>Zm9ftgU$
z-*2fQB)`RlW1r2!c_$4`dEr^A%cEWJdkYV>ov_u>jI&>1`pFevvfj5-vrn>#c<&wu
zvL8HwhW6Pz*u`k00u4;NyYG8GY#SvlOxE)_DmI=igxzDh&aR{U8TTHRd<d&;W;#ap
zn@9XHd72JajIi^~!tI)SzTbo$^eyPgdSA%_MayvbLJOz*7>V!aBH;!9ykINQ4?mj-
zeBup{e2_f<4c?!S>vJ9!&ki_A*88GDU(7qgGe1lt+u)}7v3gT@^WWU7O|a*d8D(?W
zQkGWtE&T1}Q*RYmRQ0?p*+1_}nfK>E_|)2&%ayRZT>D!|cu4+@MIr3C{!vK^mgoCM
z{RDot?Lg7L5VTi{XSqnYj>Tcwb$DTXc9!hVrz;%2JOam_aik*u*HRjuTpEI3`AuaM
z!{JumR$t+;POI{2IF!?8tPB2kedJ^nJh(`!_Yt0cqksN2oFz~F<pUg<WSCwH^H~UI
zzkp{K%1TN5z}L+$Rt@uW$rv`kirhu9MX;9EAD>QGeM`#2d{|J{W#<?8yOB6;4ova!
zWfob#WwEp_N`b32&eCp!rS;!yXTeQWa~J=={@heOmI|*HE7Hp#JX!9PUL1TYmGuYN
z&nq~Zxb-^BARv3=Hmu_-=jjJ`u6MpB`)}Fb4N!T(CvMGHX2K~ugD+izU+1;Fc@OWr
zJx6yQzE;+8wguLmPH;a9$9ZyueS;S`JpC=;4LV!`J@EQXuJMzwiJ<XuvcEto=;y3H
ze5C3`=s4`jcjS#Se38>SaT->6lX6rE*2}Pvo`OGVsTUrCbH|;IF2X||k7T6bw-h$t
z=i!IO#~z5n`XVmNYw-Nm9D#jsdi%N9Rk;7S-fe!^a?tKE`M;{~og8L9nDM#pASEpB
zxje!MzwSOdPXoW3)^*$p?_E7|mm0pCxcF%^%*k*da~tfPa@1rK++NG4!U#KN%+{_1
zqkbk&`wGDlBW-$%aIo>0oq}*-x^KmA_*+-xNkuq5_wdn4xH#$jv^-oa@V#IVZs#3S
zvViMza_W2Fu016^=CIav<NfV$#Bh*Z419)*xxEqY`6{y^8ZL9JKT->CXXCf6f?1!n
zca+1;Oa4vOaNaVfa~=FL@MAhF_E#m{uIDR&KT4QVvBBG!sVgc-{J>&AO?XNA%IADo
zQ^06Q3syN*<V?c(h4qID;GuRk;Vif=)ZZ^3z8<#iZVGYKmX?pO?2E7I@$jt!LiS|8
zo5R-}x;rraZu8sy@H4+FED>-O?SFFvu<54kr!jELo8B!Gu)^FHiD)>avB`<-zvK5g
z)NmgbuiX^=7j}vsZ%u#;A1yDgz?U!Vuzv`Dx<GBV2mAXJ`fjWy!WD%S^Zf9~^A@&u
z;pbOksrSJhckfS--=ll{R>oeq+uPOP2E1>cy^NesF)8-!ODKHn%vJ*l_>6myk{_J9
z@;E{ZPJ7GIaup7~5G|w$x4oS^cnLnef5(v%@S+w^#RYh$^xEg+a8lMHpB+5X?LA=x
z_ZRbI*}!+ssq+}Z$G?8`G=ysfD-W2%LwpM>`f&N<l=r6alZg*DN8xdOhCwUXv3h!3
z6JAOzF0g=GWqo#w!y+kcZ*Acnf0D9AVX;R&f6u`gw#U3U;J@|KTb*Dn)AMV);6pS!
z9-oJ~H2<?>f`i$Zh6CYYv!GdeIGSHxD;N$smmS6mdyGYylk+@`-W4&h!0ub?YRP#Y
ztDia_al%T<J3C_Fob&y{<ogZ;AD4}T4cs==?uLi>vX7<0?T0t3@xyHag9T}DpsG-h
z2y7jp@HU%-%LrKRg$=0uL>|Mwsu~ND@N54bg#tL$PRUyWuG+zyQ3$KLSu)AOn^pr#
zD`C;MhOsg*L*6@%YPj{&Wl?2Vlu~^E8`$6QT)rZF?4xhYTX@&G08Nsf*B3OZKEqV0
z`X|(2*{oFFPFU-o%jhvU)FL|YAKZHMxtBVe+9}LQ&Tpa7iy4xK*Chx3+lupD64Lig
zlHaq%=VC8CoL9_jNPhp_U%NJu^J|2=?wgVPO5U82$^o-4guE7jzh0RwAm`7t1gdK8
zferb+j`73lYohriJui8_wiJQwSjMH;VT)4DzrwKNueM~8f3v2{2UTD%=bu6h@VtFe
z;(xHsO^O<lf9)&$wdB0sL|^^-?eNjbLIHA~@ARa#1-X9ZpQXd({2zm$&4Z+TSp17j
zwSZk`c3dU-B@xT@)&+iLcFdm#J{3?ULe3jf;5@xU7-myCuI~@;OY!F-_tQxGr!)Xw
z%#SP<gL#KqrxV~ygM3OPfA2PN-HIpSU9360@PnP{1?0S1&Naq7F8F5agiaQmPqBF?
z`TZ^8f|lgGrJoVL_nBcIFQ?^a@UGvko9JNw>U8=NczW~b4H|eQ>3dcYT>hqKngV`Z
z$5vSdOF0~K{}+Vyo`WVQ$@#T0A^-I*z!{36_OIaLqP(;7FlEMu<Qll~RPuolSmwQ8
z9yza;u69f55PYo0`e;2|qp`;Q6*hh!bovAQ?1)Wz7kox?If}e*$f`)+y#d~9$@r)p
z_8lr&d<zTR5AOO1C%I)b6~k}GqkeS3-@k1-UIf3=XbSCw6ThyMJb|^Zwk7n#X|1NR
zk70vi#rNdAD;;Sqx&*jkv*N%Ae9I=|b{yO_eA#;#4s1zUjD$6IxkQrlYp>s!^^Sng
z-%1mjgqe;{4hO?ch7XFPao$!#_Qfn4IE+42_a1!kf(PSi_|}-1dpfLg-G$W@rgx>^
zO3v3@F>$}92k*1akt%?DRV_k}!$B_s-sizT_-%iw!4>t4bL2eu(gDRe6?kc8FybZ5
z)}nb@7Cw=ikyZ~k2<-2df#oi^$&&LgJ1!j7+7DZv`f=tn+|IUoTol$HD_&}cWn8wD
z?S{ifdALVlqlwCDUN}K(xQv|Nwo|8GU?=%JbJ7NKUR=B-h2(ble9ehuN_fw{tw}WS
zVEFwy@_vKIucOnpz;e_&=G)*$_tUA@1M&P2_~Eh>?isSYwF)oDBv6s_>u&74_-772
zD=WoL&YN8NA?!H|rwsHKalxnj4-ZVho9f-_1z@`V-{;0*`3;<B_rN<pt~d9?>CMkB
zllL_+Ru|~@!F|aF^yGaMZM3h-KEoQ?ecVzoL$Iq{2Yf3(uv`+pwm&GN8D3GLZkC0q
z4vGuDgY^_1+Z=|46_xJP!Oevtp2{#~>ljlld`Puv8#(W<{m`;^8T=}xR{8{7rK=QB
z43GXZX(i`PZg{Of@f2Pf`7me%vuIB_J%Kg8+4!7<896t6eh6R4{2WQnj||+OZ2SQJ
zDS2MV92T?8tBr@n`a5K;;q`TO)i`*V!miy4J`-X3EE1+`mRxd$9bWkqgu{RL=bUka
zy*ll*qTzscMpqx0f7{HvyYQ{D14<Eais0woC0O-Gif9O2!DDFt7jEz!j3(jDd&@_}
zke|YR5m_<tBep~Kr2O#S=Vge49lY4r55flaA9zyX;n?T^DL7f#{(2f*xp;+59&R_P
zf0_qhb~5KA<<)s!Ks^^WxAzK_fZ502-1z|OIWyl8fgL{W*!vzX{v@@;2a6~EIr|-E
zSyu4pg8S~u{~d<eInIu=z`X6wJb&QGBkMnz;D(gk@>$rxk?#~KpDBOZddd4!yU*mC
zk@Bf~m%)>~AIB!C<MkTuw{UHDG84Sr`eY-y{{UxG>1`zZsh1=vkH5S7G<U*`bj3x}
zuvQ<_;0{>2pqrDF$5bJvEkdxoy(-^#_|UpSngA@p?il_J)<4rxlnS3>y0*6-{<+l8
z{s3m<I$rw$&i2W?-vxhc2tWP?9(vod;VWETesZJ*_8Om)orSMj)}3#JgFg#BoP*!a
z+@xrO|8nVek@p*GpZX9=;&(m2t;7KT3XA3><^Mybp$!-8u#=Ma6MULArI{P{PJUDR
z6+S*Fz^Vi@SUJ5Q^<%iy-&Yyt>fCp-7uKbyn!E(}^=4X-@a1^z;EV8);E8%te^{!t
zD{sIL-(J#bfVWtGG`J4m7Ah@%2`ltFdy@B4*A!%zRl$$Ueln8xQ?Ky;<}HFlCVdWO
z!tVn<?#_oV%g(oCz@}?#k=ZcCVVVA?@S(@STeIL$u3XP2a8q!zXA0bVLok`VPur(G
z-a84VQHeiT0ozv%43qNy<=K0UI`}_J727EI>FSaG8dxSX{KE}+QpaVc0Y30$?8J50
z^+0!6JuK}lS>XpCR+Py70;_clRC&YqmSQzN!w*9D30#IbOR7wI;TO4nS(ixsEj%+l
zu)xbkMh7_c=NZ<Ya2)ly?Y8hUrt0UD@EL(zpVM#!-BjCOcvk)JHB-1{lZN9m%zG(x
zOb_<m?tGgD??a!kqnJDnXZKeNQp16%x`yiTABr#9JK=bzN~8ba<LSJ^JK&^zni^S{
z_J_o-{qU2^xBrud$5LDi#Nbf({->gF{uReDb(m?p%6?&3=Ey^THTd1f=mZ{^N8)zI
zNqBQ&T@okE-t_W_A$-J^brTDGwJp`s8s4+%;1(u$Rk3N&3hwH?d661E%;=~T1n*Lb
zciR99wOsEEfMsv|{<a)|_IFx<ArYSb+iE!v@2WkV84q)=3pf3Q_qx}9&4Vp<$8^Tw
z`$kQdbK#_||CRK^A}d=eKfu(di^{v<(%lUFAK|yXMkj_~ONHO<yrY<3Uuitm4qN!X
za^itwjl^o-!D<wNenRkTiZ9Ad@ah)>RzbL?T<%FNd{&WONF2UD(=Sp3cRlNQDGJw7
zsmGMUe&hcQ$-@+GA+bfUtth?s5qK<aa{URMLs5B471nDC@qY~O@c%QX1~<=h?I?ub
zrWmpr!L_k!Y<aNw8$LZ#xR`~urx8|;{%U0fFY(8kH^3Cymk-#$41u*byWo4Ol4{N{
z=T;4xPMCT8Gs{JITf>DzB)x>_?+bdu!=HYaj>30Sk1cw^MWZYui?GNqHku$<(e;ka
z0;~{l#Wfh#*5_MUho=sy1>b_@Y2$s?;LApC)py{CLM<gW<maws?GN#=k6d{TD_q4%
zc_{^EP?+0w7#_bk8kh+SkC-PNf_Vhm402#?t}6|i@NjyyO+GyTU$>?PoYNrlz5q^?
zw(Zk}_bZRFe1h**yzSS5y_zojwZql-b+72d;~5-p=U_e+M^7F2$+p1LvoJ6B$N;Gi
z54zO@HjLqZL(B%1U|P;hHcI&O#n0L@@S)Pcy)^J9Ub<#dKi)+3)l$J;=dT|WgQplu
zKQY3$v&)P3!A}CVIc|kbP8{Uk4WAz^isXi!-bQls!i(b60$i|}5A98oKDXIA4hg_#
ziX^Fbz^9i4@TM4y_Zo6t8Q`r{vaD+G0TzMFRPg=%3x4WwuyQ8#Hh9^f>dtX^S8LhL
zt?-Qmza?Fm;qM_Ha{ch#>a@mif2mp;Nq^q!^lm1w^S~=<Zur&JFCk}P|K{crQh)81
z(tlaO*>hUQ1mG-#i~r8UbM(hs$o*JODLXj9c~VX1Nc$jD!07D;OZhYoiNFj_qeJd+
z-~&}JDVW3h#+Fc+%JHC=1bkuD?&5WLz4tjIX@3?OXrtp`_Sy(WlK&sC&#uJ7IYFDU
z6yf}Wc%B^iq+eU+5tx-W?B-+G?Y5@88Z4|U@vH*Qez-wi1?Iml!deCEQhI(m3SSJ%
z(r$<8qJHa>_VBdz^P&!T-|e&Gq`f@M^w*GU9P2ON2W^$%xN~ij9I!gul~$7f88T*D
zMPcn7)gKPRF_!x>MPN!}{lnz`n^dzK<=`&yn=*T0>;EoW%EEiDaX%#aU7QscqYq#2
zXy+m6`?bP&pB@}E<P^pXZ{AX-dlpU?_Pt5+^WT)~_cO4fI_oUS?*q*oi*|6;_juPW
zu(WPRq%HjAtYi<VZ(Q_VX)bWyoqV%ZSX_AjA!k_sy!M+pxV7<vraK%cSg$$@&-(@S
zU4|c>Is1G9HlXC1_J*aNbcvGoVAFB{*HySLl!1b@7xl}(=q|wwU!wy^d!j1y+0GGm
zTw4$%?c37G38Qnc%f&0%W$>kM=J}^#`|`HqvGDw%k<^p0iI(<<IQV^`hBdkWmqs*n
zez4c}B6ky*=F7csA6ProkIop@8x#6-8NNBj@>dt0D@}2ChmU)XL>-62>LvS}U=hQk
z=|=EUR<(sAOy6H@N78%O>eVDYSe>2WswvFTOv!!%es23X^Az0Ny!V#^Ec<Gyl%%&&
zcb>C6%)fAN#2mgo*QvA*-savtZw)_CGOyVShef&Wwt}tPg758wf9}sacpj!$-?*I(
zUI_7Owue2AC-`iI<ERS1U4-N9SXb!b>3J`=3$Q246PrzNoB8vQD==5}?vV{}(C}pr
z57?%${P<sgw0EKpMg8D=>*DX1;15m0W+cC~gG?Wc!SM%moq}NY#TK4XIJL4p!5`L&
zS)A>FIW?yr-+*g09WJ-S%%yIfA+YKCJ@r@cDVrPP5%9HXinq0}ZZ-9ea5%JfUqT*y
zK7v{39(-yhjx86y`2OC>JMgQob(6`kdrgdOJbYYR#PL3yG{F=d1G64CQV1trqkWVN
zo3B(>--K(r8|3c8T7`Oo0kBeAl}-kHXsR&t8VP4R;Pn9B)!28{1wJLo6`ljPswyry
z!4>zv@Mgn}wjEa1@cVTQk5>4zj%S}aY_#^9?gN|}u}#Yme(Cy-^9wBfz@$MRj%2xT
zqy?T)4}HQ4zZ(%d)&bMfeAvqZKf9Jo*#sx&hhAyDhUaNH{Y)*K?<}+U5&nKpv7{P4
zu<%E!3{EZ1dQ=R*4R}yoPJCzIrvg~ucKwZPIH4=C?lEi>?@av|4tcn5Dhm!;yVDa7
zS2I26ONC8BB~B;888sI?Qs9>ib#J3!nz-*avGB1sr#0@uX(6}ok^HFg_t_N)s|L{p
zk^I_F!ju#QkG}f8GYqC1Puu7X|LnCKBlXueUo-R?%w^`SN9w;{WEIB^_}6ZS{iOa<
zynn?R4%c4wO(5l6sa&Rre4k~^uN$O3?D<k66$1|h{hKEB`ytQ1cge7jRd%jCoJhOY
zoDPe7K2kpdOHqbOC&40(o_qGeqOFF9Qs8OoPy=Duf$A(x1pIX09~E9W`CCm`B<y0k
z^%7~1880-Q_JuDAJ1TC5?`&!54S>J!>Su3(J+2&e4};&7i(Fqod!89P<W8>V6-GC;
z2tQ=DqKk#I4tBjCgF_g8&?UgfM%Qgd;g|cJJnq0@kKe0)flJkfJ;?oXA71-Po)7*d
zR{iAqk<1?|-oWwS8~Vxhsr<L-zlQ%jQac&~pDD~Y)`lfTMBb76ZGFc-r3L@cPL?9q
zQ?U2#Q-*7L!-}He+k2fE6ydsePS;6(sr+tUm4@GaGu%S1w>P<QpA=lVTdMmq%o8Tg
zu@7D^W;Jz(y%t^$3c}y^osBhv$6CbONdKZZLZ0<BT;@^~Ob@GiKDqeQ5B;rj1Gi1^
z)@HA%U$FiCxOCFL*?#rtt8cLLR{49&=nt9cF#p#F4>t_&U4qLNy`Fw1et2uwG`#n(
z;=WE2|H|Ql->_`vqnHoy`Ldx0qwv=+HY^|EwXB%K-{F*iCcg%FRaZs07j_;DS!;x&
zO_yqV;9p_mcC~PVLv|kNul?MWHd+UlGVt|(giCkWROG{N)V_RZgii^w$`-;;+fT2*
zg^&7m(mjN04($B>0*<B+zLgH!Uhpibfa^KZ8*ajvO64<2e{sK$re-)S)zaUQ3(F2~
zWcPxP$Ul9P1)IOhNc4u=ZwH+w{n3*x6dNzY62qMGvGA_O0~<VGcc!)WXcEqM+sPU3
zm~Vbf`oD_`ygyvvkBSB6;qc}-?~}H$Zg`Lm=|58pQFYkCE>BH-{NWvnm03pcA8rXJ
z(*OQV^PiwGe7SgwlpD;;cl4YB+`Da@-wC#O@orEN7LfT^cn;olpv9C9ZhKjuZU&!-
zQtzgR&p+7EtViN&g;jp^#rhue_9`vdw_;iL6I`yO6HLYzQAR&J%3-hjHg05mVjXWZ
zUjZ+0U85u8ljZl1&J@6(2NG8fz?Mq1eTDFKzw&5Fc-Y-U^9f9Kb<T|s?ucd8cn;s0
zVy7qLsUh}rd5>T@A-PpH_{zHq@ho_>+%9GZvF_%C6u8d#X2@1JQ_O@d4UXJc$;kjG
z=cfn6k<XV>tgT|aCih&<KM^kF^c4FGS5dU+--O@)KBlk%@zY&{KV66OW$Rr2AzZST
zCDQ}um%Qyqh4A;cngrb8t7j>4H^G*S=1b>b6Tdev=;87edM_(j^6tUkG_ZDjs*WBU
z)jqYx1l!gfZ_$NUn=Ql{;aT_oR0a5_)HX$Oe{J7x@yNq99_n9M;qyN_Zc4%LUeA8#
zf-498Xb!-UsRGwH;eW>)F7JiQKE03J1Hby@JSPOZYOD+FhVzq4PxHVp&OVgh2mj17
z>E(jmU0UDog+n^iHCW*>7nfd=ABVkE8kpgC+v^$j!!!rJByNB=%bIh^z^P1^*(qV!
zw$Ku3xIMi(c*zIz1--0q72wHjMw=GlsjZ3@q&&R;m*(;tj-hOFCgsI(_2BQH@Iv$N
zO=P?}s}*280w31)l`@CtZU}ex!+c^1&18J~Gs@$?PMG@Vy~*>iHm{#*2i%vP6XXCJ
zA8LNq47V%u-n#_L`5qN}2Yah&y>fv^nMVJW!=4+<+C1P7u~q?PaQ4q{l%#$bsjeGj
z!7tnXWAcG@H+!}}f^R&qQ@ILfykpLahMS(g)(e22y$ch(2QM@5A0^{k)!U5H_VE6H
zjwXTdgRdbawlH;bO*y&VuAB-pRXFb4QUe+9THh7xQ6cfIb}y0ZsXI43mw<J645`B4
z!sx@|`{DW#yR;i{Z%JspAbch4ZY~)Q(>Twu3BVV}(=~3xUw$YDa>6$<f7+zNtVT>h
zyI|J7#nohZY|!$@HrRh*2R&(z)?;2dF~Vt$JdZM9cYmhOTi~n)*`lYgS=}Y0&G2a{
zWt}ImBTengRd3|~E+ex-nC~lx(h6+CZ91C|clbNy%);4|4wR(5Jlp?Tcm`$;a*-^B
z55!on^uvce+?8L#GzTht`e0KkkFIKXj|$EA&#=Vcm9aN)w~M)L2MNFD&h`rSo?nr9
z4f9322)=`Z&gzuc!7oM5pK5^1{{0Bghr<j^ZChcM$A{_i;Q3g6v1a(P@?OnYc#nXz
zJb6B(cDgl0!!%<GtK{>EpMNr)fX7Z={Z#`~zD~ZY2QLQQ;Udoi5!XXDO7NW>AGemk
zy8Q#g%CNHAU{(=)FhcbBVc4F*E{vq7ZI0WqBXF$b@tH@krrF+MRoIOGQGz?HRhu?&
z3|8U4LU9ESkvH`;f=|Aacxwa;S(<p5!y|j<MUCMR4HkMEm}TfcMooCgZI#v@4%k8I
zN!nvihl+<6;aavtQPN(z(N}PL!d0W{F{C{$;P5K(ht(AlOeo>K{qG7xVKbM%)1-at
z+)mBu2hUkE4lTkg!TR^F!Hc^6+vnl*xF#1Dc!TrbjlW3z8w|fLz{4&TwqtMxCr$%^
zJ0ylq^}|jQ2bpx?G)B{@UU+(!i?=$gEE_WL8UAOHxvT-dmZ0$JfWtL<&ndzlOQz;;
z;JmHMRw}T<j7>xxoGbQBN&==n5${(4r*8OCC<#YI@$V>yHO6T<_rhhh;Y-=D&L=%~
zQTXOp?z>rVH&saRZg_m_Z=>t5RAP@miLbVx{o)3EkoW111F+q4OVmYJDD-voA=v6K
z&(bCMZ9|L*$$yi6wFw9KigD~?lK)m-v3id1<wZN?qj0TyiOM;+fYqi(8*aV2@iCdN
zq+&jF$`Fng<xVn(Ki2I3d=h@Jbe_@z4q@NmYytCqi5@-%-@P<>{w#dLr(0VWuIhY2
zaUQ1596zD~F9baEcZB(e_ho3p-s%B6+~7lhq+^uegMLo2?!?VkR+M3uG$m1zzelb8
zdnMprS~`&cSdqC>?Eow)J5YNQmP;y^79pQ^sZ|PxHw;fF?}Pi6V!zyj`|O6Ualj%L
zIvu1w`Q2n0<%AXH`J7VWTFUyQKbTMcl*a!(6XvcSrCfk*^;dmzVSk0z*<Y}6<cq(g
zehR4;-XinW)uO}J+3@JT6yFheEg@|v2bQrb9sUj{=6HJ*z!lE}-jexn7QgW;#c*70
zv}h;1De(=%3-}a|8&@kVMR_ISC5%7DgnWd3y$yCZz)I_f>}ugEjVHYCVAdd&_hi0a
zzvV{RClby$eJ%{%-TgwW7k>O?uqhmF{+#yaJ1lo!GWjw*vMQ-O30o@bNV~!wbH^VK
z!t*&?6IyV-TpZs79BZ!=qzUtS<c1Hxd|y9W%fM9QUN?qGxGU9~G|cH1HT@M18EyV0
z28SM-y6_E-h@-k83h(LM)YT4~x_$861OFa4bBeT=zmG67?S{8Ixz)75DFI!S9I!%W
zqrwMx_kG)gJK;_CQ;Z~iCaI(aw!yFXm2Q*t`CuCOax3g$roUJM`-vOoZGodSl0C}c
zj)X^Ao8fnU&-+OJy|2&_na6t2!8qw2k{`9JnXk$E&|z+MwZ|~?QJ>-;aDaBut0(aJ
zM_;jWjro#KQTx*25|cv3A^59!)8h=-v1Lcs0L)tYW&3?tcU&i;9FCL73nTHfiaKU1
z;N8rbyieiH#*c;z;Nwr<q&|aHD@C-6;4MEYrOEHtQJ<H43iC5{7L~#d%3cqj!5eem
zYuCW6MT++x!Q0M_HrB#48nsKAF#G9V%O=?5LBK=`yd!nCmy{2#=6@&BV9ogncar`z
z3{}eUu-My`S@L{JY?aAQfNy%ug^}{Yz5FXa3O?CMN!<@$Hgs6O3x6J8P91||xSIL{
zVdFHq`=tD6pHR>UhAXQ#9hiehrp6BWz|O4H`F~)Y3eyx{c<v6R<{BLBnsLn;-YdWM
z9|fMzN47J5cYz~cEp}7G;S)Ob7I3E4$Y(m(%Bn!r5+3;4@5}<<q1NUyhBfYgoMeTU
z*q#TQz**rff!rj1?<X5An0-rzA0OQPdVlj#ScmcfiwN8+dOC71+$Y3MPx>nw=bz4r
zz<VROG7iHFdPOC)u>P6TNs92U;XfSoaQeP8lA7>NcdK7>STAK-$#|jzn{g%@&cl^K
z*(xXDEJ=E`U$A(;RgDo$somB41D?vU5IzoXZ9M*gtjBgpGiT|-{Y%^qLvY|f21X6I
zus_b^EBvMUWd!-YIboOCF8K2G@_F)mZUoLy4#I_=)K?YY3nH$q-{7;0^M$)%?}_og
z5!kw2Rhl2(YJdLO0BjQ|afzgFMMOu{I4q&%J4^aYR4X|~V=%|Chxt14$DW$eb_%{L
z^Rk!pm%N;c6Mn+<UkdVmz}yd*a>)8|o!z1&$^Ywv#XU3dY0e)TyWt=Onjg!s$%NST
zPB@USJ7fuVUlN)k^;y$aIEDi0DQsx(`W~Jtdeg9m@YQZ})oNIfhpuxo!YN!6-d4hf
z$1-U*!ed(_<4OHw=pWie2P+NL?;`DM+obn#YWPrm)sHxsCo}IfS&tsinsp)V`~ARt
z3mW*8N{6>29CP!wE?Lj6X-r&lg4L~LgVyo=Qq<w^%;3o=F1H1^m`PjfG|XDJL{IYf
z4z)^wA$&ja&2N&v;-`zAoq~rS=G-LtY5ORLRTpm2j`He(gMXVvlm6I}qZc#D&nJgY
ztdjnM*r8+dO>hid*5XlE?V9A?2Kdmg@Fvp#YC6lyUISli64#W2JsNiwzaVDf&HsOY
zftfb51ir~#BPNCLfA^@Ais9>ad2u4}Q;n7V&tStxM_EY!A+v?j<}qA5Bs9tnGe2HA
z`4H|(ueRodBl9**k^KiciBDRX;kZ8(1M#p#xSTdCT(h0go9ti63=k@!hwW+^oNmLW
z>4g$oVVMQq&5>|>LTch>IFO!yAp|!0v4@Qco;8(=3WmQ8G6t-BA-%d30)5~^ws+V5
z!59B}m0X2CP}sKqhWDliXI+Bhw+tSehGni~D_?|jpEi|@!70~^B<*3tA!VrvIR3-|
z3Ts%gcfq9<?$*+pF@sme?0<ZOZ`$<LoPsz0-6>cGCupqa>%!l=f-}nDsN$#o+AzZg
ziM~|W!vFIn^8Qr8k{I&`@IwRROtOFF$Tw55J20QdjW`*2fvMt26kIU-Ug8kk=bOZQ
z6CTs0;1`DzhW|u`!DZWzRg1z8bw4i$z}cMv&-cI<qavO`u;_`F9X#;#<1F^G@P+W3
z0zz;=vth~^IHyhAjKqJ%%XINLJSaWnK(1$et!hRGc1f1nNcQino=!4Tg(D^gnaKW~
zV_GV`DzNLA#51ygrz)6NLl*Yt`dUf$?=-BwZj^zQ(%h%W?|<48lq3jSud}Qx!tbMY
za|ysYL1z;bVC91wuXDm0Rk0;xzfMS^?5$n!=N&yKj=?Ni?0>ewxziWVoP>`o<y~Qf
zDa04=>BHw<xN5CmMSCh4{LmCGe7vc76`s+d{zCFcIkZ0c2W)=z*2o$7<?~ZKlW_jr
zw=rY5U9e(b4ID{(Y{3$ajMK_}0UL=}Tax@9j%?7s4=4Pnb2$h9kE8pJ=kjag0B$xY
zlvOekElJ7B-aBN=UJa`f%3eQNMFSaSWHqQHBMG6bvLZ8-QOQc7?B{cyKi{wWeD87Y
zbFO=x>wH7+7<VSa4#7iRWW3PJ!ym6)fpsSjk2%8ft=3Ck@Qww2U9vub4ZW#`@Whsz
zmZW{9D>&{pfd8iMxkbvewC?_`0M`zhrn|x)RUdiE!;f@+bU4AjKToR(!ND(ChROJ%
z|57I!1Yv#JEH=`9P0b#r?1Gh2>iDm~rRs;cIACU)EmdAHZSUsrZSa4g0?h&NIg_YO
zOfc2Jb4t=*8o#LZtzAKTxLVIh`crsHt>r2lWZ3OZ%KwX(rRaxeAAAnK3cvmSGPD<-
z{_gsR^sk1Fz+>0p3PC-}5LkNuN>Mb-q4Yy65M~lD3ipAto>wcA|ErySC$!lc{uZ=l
zFbo!=q`!0lR_*;VaUB-s37vC;IRog7BjC*V--+6=?td-zH{crWa~xW*_#>kZvj0_5
zhF$HKF&^Oi@E5ZG!>3xz+TaqMJFH}X)I9?Qs^G@bU3^jSeCtAf1<bMX!IbO|E5(Dr
ze7NA2=4ldtw39d~^Wc;#8S7+!7)R%vGGXK0u^g!|)3#6N)8X!+!J@nH)3Z;z@4$PW
zRkh~9X6`|s<6vD4I_Jl5=f_j3*I)tPe=|$)pi!WuKdfxnVY~uU^QZm^gG<$a2e9D!
zVNE0B8w}UH=pA8&?_M_B76n&3OU-h@EdgP15pc@nK2sieXeM3YCOl6U?MTKyy*W^y
z9}8z@`ZXPZ@27lKPK1pPeC<983)0fmCBOrpx@C{S{g=6{(%`Q(^4e1HCT8iOd$3Np
z^mA!AGR*LD4xG`KQ>hG_8Myw-f)`%o@~grbwg259^%sAE`Irt&Uz@m%)L)<V&Lmx!
zL-gsx7x0^q$Q%=x?{tMgAt^tS?tTiUp8sxE3)>2^2HC-f9?kYu!%J!V#_ZvL^|Y6o
z;Ej4|zn$TyPw3_v;FqNzD#`ubdeYH7eek0gtq)#s6XntD9@wh=YLYihrD^za92Rfh
zoEr>xi0T;qfLSK>FOmDppWSYui*WbW&q3GVay5IJe=zMP;S;g&6V>2jo6+7PdImgm
zVcK$qmo#vK#{&j(f4t?F2=5BYQ!E_ed;*_7%AU0ZTNYR8J%$fat$C8|kK4;z6~b9T
zgA3nbcS_s0<o>&FV_wQTc+Il4y$HU=6V3S+=6EKMUI4p^+nYXyFI|brC-?vTlJdO|
z;n5ex%;f&QU3pVLIQ&dt6K^>j_H|^9v?tCn@yKF0GV*bzJ$#SOC!qq4coW8N2fvsd
zv?tFGV&~0l)ZwTwmW$Q!{H>#3RpHN+PqHfEtj6sxMB&gky#;kJKFW)Vz%)D;M{D7Y
z-c1|!z_FX-XWzqmY^jmE;THi`*P7tEi?Orpu&;rC(nq*0)yjhnPI*iJp%s>UrJza+
zTfgJ&?S_;1x7Jg`0&HuHZ(y~^nM!vry#M0q;B0_jIn^p$gf}_Jht<GaL%c?H;7U%K
zTV#8EE9z%Xz&n}-1sY*@N6}VgIHBB9r59E*Z~3SIb4N!#Cgb}aCwy_zgg>X%w~_IE
zQ!)EyRN(kE3W+&*z(qWqtbaHl_#_RU_exx{qqN}Bf|?TY{Fk3nxZ4meig`1>7ZyBi
zzMquuV`M(LAN~_@y3!by`T5cE2uvS9qhJKLg$UFhg-@k3bX&slHIuE!Vb!{aW)^Vj
z1x;}&nC{2(83*{Jb)2OE92<Aq(+1AFw^CyW-!yflKL;zNyb!ww-;2piGKVDx<nN`z
zt^Jut$nQJiN{XMr(G?EIY+<>_+MLhe)0Xy)<o9(|n+}%3(lg~+XW`I^3pK^?_VtPv
z*09UO{?-bZm6t`#3TAtL{oHH#Neo*WIi53j<-Oj*eR57bq&`xrofXOZgxTzi=8|wN
z$2Q#txJs$IUjk-7-@;C|-+Zn@Hq{gNFU~IX58&KT+t+FE`lyp!Hr%CW78?Vv(ri6O
zj*oh3e#;G*o%;6s6!_1hUtZxbMU+I<ZJ5I+YAymkcCXs(7JN?ZKdT^kbEMM=^8O-L
zoc(h!e4^mrSOhHnn^DypW~0jL4T2r_rq}ww$2&i434nt&V-wE7htCSmxx%`MskdEV
z|CXj07kHn3+_F6^V&EU*0H5bz@pXi~TX=Ta!v!6iMl4|AmmLh|@W$3KJ1cn0v3*LW
zu<Nvo$O%|c{)?C%tl~EOTnDbcCGT_szW%-LKN<L9&AO!uJTopqB?n)aa=EDp^HuHa
z6olgykA+FXY^qlcgy8#)PWt5iiT-WF7#28VO;VM-Ke3v6NzVq4w?%G02yfL1Ra^1E
z{pL6O4ZN^Sz}L5{a5Gh72Pf<@le0bo>n`Tkv%qb0YXM{MnVUw-+u*;NoqC<H+GDwy
z%`j)j{+3VhuN{B(Y=m|GTS|Wm3z>|tt)oB5+|=N%BjxX9YpuXRcX#|Mf<LdM$dUf0
zB4~HM1eWD+x-<*lyDg-U0}G^`J~Ix>J#eqgh4XJKq<n*4oRhhk08dLQ#}2}hl)em!
zaOc!+OVYo2pYPQSfbV%7K1t$_0FPCDAiT4VKa9km>EFD`Zt!7u3GaIN_oyNJ1=#7S
zyc&sbXA2hejo~RtODPgxH+%1CGl7RrKIkIxJkr2Il@F$$>uDnK{`F{JEkAsgNv}Bz
z-e2~ib@3AN-L~GYz6*Q3{h_lAFSyuS$H5%BG`02c+2B_O<oaX8zeBMRHv6xACKSHF
z$X}8GU!inZj)s}_SdPcT`fFD^+~GEk^*f91hzIW^8k}IU6e`wb_-Jy)dvg8UaeW(a
z8{E5RvCA3$>9H-V1=bz@o^u8sq7E7;f(wV(o}Y&!yZvomz=BG}V=i#cB8PA$Jb9u2
zmj^sS$Mzxv&iZ!X+9jAnZ){f*tV*eM#~1!E^Evend~kchQ6HH9X8wj)_*T<<wJ7*j
z`%SuQuv{6_*9chO-_9cx?md(wN#eUOzhUTQm?!p42f5y`&K#I<BfqEVrkjD!U0L-w
z1FtboXHUWJOuIf?!J{JIUai8F%*tQPNqMfnMx=e^tZ`}@z^fOhY)Jh6`nkF3BrG?-
zyhsJF^F0*NAmzoTXz1agTgJs|u$$3h8fniWVn?~<;71{2k4Sred8{v820kD?qfFix
zDjX}`Bns;rcj=P%i5IIZqL0Dej|P6Q!NR*F{v3qk3ab8)@!p${_jw+GozmaNaKV(n
ziU)XLzqtEJ<oXeN&)9|=-pG}Gj30hkAl$$TZ(H+|CGR_zCYv=`;E>b+chY}v`-ShK
zhFzYW@E3+B=6O;n;ZyIl*~s<9_~Huf;zhjQe#^>Bt}m{>w<G?-lwRA*#bJ8=3%{n}
zW!vs|a`5m^%1cvlcz(N$EL_Aj)He#pUcKe43LB`Ow;X|IU7~16JTmXne%A-nA5&o@
z@v8Dhw^}c(`$F=O7QEtH{HzTQJTvoxT)z&zl@)G<OXo4r8}6rAqN;>x`~Le);-Nxh
zP}pnu#|fu>#_(*9v`HR()_$w76?`MDvilLNWWUyA0aGm9Q@9ULIi`Lh@z+O>vnCxr
zB;}T61J?$Xu3Uu`3)i2Vg@>y}1H<6pw!yECu%GU%o(H__b8eEv_mLKtc6azw?|vgv
zp00kxQx6uAy>ER1zCLWZpab_$TG*b0?`(KR#Ruo=Ry$uLcG(}s3-h%`yE?%+GoCjW
zF5rIt$mh%MFi+a#wt0Bo0-+w>TN-qtAD%u&tLFtf7|b{K!j6MWKRjR+#&+>`cp+2j
zj~^T+rTnrLE*L)?;|qry^6=KfU+<nv423^1#Ad#OM*~g?hrkp6In!6bC0sY8qhQ(A
zPuI&~y1N0N$o0=Zqj0_u9+sn@ONVp22YjBw@n2?Q(%?3`*TXsR)#SFO7Fe<9!Owee
zj3t$D8ywF3E`%&+IeGomFZfVoX?Qwpm#+P18h$-|Z{`m1#<Q#Bd&lG9){6<Sgy`^5
z@;#(;HAN{5_H3DxT7fUgysr&~Y4Zy@mtgwU0zqH+yGZ3A6~3qZct7yO8|Hs<#hVh&
z`BBSu5iZyh97@LLzfqq`JP+T_nkn7@D}FC?vVw!PXQ~)ruB%^uTEIevIj6S5{Tu5I
z4dM15=?<*$n%K`yeYiM$Q{r~m<9=zb0{lsLDT4#HVd&W}4;z29?PP~9$K)&?hH08L
z2YKKllC{2q@DcH++qmGN_cu@Mf&(35ckP8Ql;kz<ge^X2{n!nkD6-i^0n3D3`F#Ku
zzV02hb{_Ay9QyX|gLUq!T1>&|(m6+j;O#FhK2N}>=ZqQ!;agrxsw41v8ApdGT*hf!
z_Z5E0(BLWpn~TdF>4o2NYXmF9_7Nt+UGPPtnVm{-Zk}99Gdz~|h))ZSHCEg80oF~P
zGa=v47O2^$UcnV?xwd+6+vKkEW$+&7gu~kKw)oD6>F^U9DG8E~;O5+YFb#Ig`IxE$
z&xTxX_JfVh&OR`P_2;hW`ohfI4oc*E98=l*&%fL-o}&4cHrbxme23KxJTWEk|NIBJ
z_2eUiut&R3B>Daq;hSFY8J0bGbPw6SVPWXbPPo-5BIO1AQ`9o&4Qvq2AX*6jT2N<r
z33FY0sMiE5DrVh$0n7i`JKg~MzrMNn7~bj<xZDGamoP3rfbAa7$9KbAGHVX$@Dm}<
zH1hp+MC#>eD*T-8mc$_ZmGgm40_+h`sPGN;%eQKYgAXt8_l?50f1Z%I20NK5j!eRo
z^b{|nVDH{NY(L?i$-yXZ_|tiDp5O566F2Ctz)yQv4QAkS#q*y}!*ZFsEy(w0wy(Ra
z9N~!c*g5k3`D`qGodx{RG=6mz&aEs~GlywLT#qip(}4*)G~r9FPLkC4zWr=kCRrVh
zvFiLtzISI+9;T9q6OVuB-wdCiY7do#i^ftJHo`qI&y57(ee>7Z$#@)w7K2X$urSM9
z0U1AZUrkwV53I9&u#6RMV*gsX8`f-5GGu|>C)@Y$fVY?Lw<P0n;&fdfvcVf!qUSka
z%^<673~<Pd)7l>R?4`L|TVSuT#zgXc{^<JH5;dH+C-4y&fAfBP(+UNA?U2Z4A^3RR
zRP&50?sqz<$HZZ4S6|&}STn;iPz<)*>Q*`iKNUX^LB`))S6Pr4g}-J5?k3}J?kSFE
z^uu)fR1cEzH=j3O;O&F04ky<r!K?Q6(e1F_ee?HPu-@xYx;D5$HQ!Ma4s-AEsE5NJ
zo^#WOe^{8#y@Q2*mTou+A92&Rs({(V_wKNTv()6QU%~&(&p)>&wil^?4u50{cu&SV
z7<7kfJb~MG${!=+YYd-V8!Cp+tfnbP!rpeqUkc&t?M{!Q;E*WGE9J0_@2(fO;Cm6T
z{+7XSZ6<cc!NyPD#MZ#FF6n#j!eU=`GFHRi>^!5$_?HY?p4>)QxF@&b100**|KJTg
zd9~bxj1P%U?_+ui4<9~bL&k@6QnBAEfw_IW|Fy$^^x2lk{x&djQ})4uYI?r;aP+^!
zDLruYtnNq_JQ>iE`2~)<66TNzOVfOo9)kY`hJ8qePkCQa`3|$(DLIh@UuVB@c@z$&
zE9H)Wliu(KO~NnizNKA-tB)FtknxaT_I^`xfYt7HPE5luIaq4#;L+~olAo~2o$YJt
za8HGM70E|o@RbWxBg==9qe*!>4w*7R*hP^#ZUN4pJS}+${-YsiP0BA6*n4h+#r8#=
zS%O0^Mb9z98q6<*N%_qd;YSu+@V(ZRT51grr_X;j2eZoy(US7VcRcvn2g|cu+Dh_Y
z@=KeXdtrKpXYMOlZfsb?PzwLd8TKLLN3Y%-jV*>x9@#fY*0=q2@3A;|Z?xvO4OmW@
zxKwxxb}N75PnJKc8a-eQcb)kVMwa&^&_1$+T{)dc$^LJgeR^ip8P`KSg-NnM+{ZtC
z8-~+_9j`9Jlv>SteK6Z@+60n+V>ZZevK!v_eUH#4_}kLPvKH7kb4rW}KCHnf*$hA5
zxVe?&-xR&!%zO)%7q)b<!I|lzdurj`CEqWw!rY!h*IvP+Cm&uR`8cmemFUahfZvr&
zoUjn9tY-nd?(e&UANFO}oqGy@d>#9I5Bwub!zveMlTa-afJY=u2C`v6R#St6u;y-k
zwR^B=&?a+XctzEsE(I2DJ#bwJp7zsEih{RYY>yL%xrWVlM8ZOOGw;awUl#$rpO@jq
z&>PLtFk8E!vlp>xZX8*E<JxK^E!;XRew`P7>-|e^BV1-2P)WuETW%d-T5!U6?Iq??
za{NqNn{NJv8wPKOZil~KdiZ_-o-`5hqk|u4-q0R`+oVN(s9~kEI%Y+%z`rr~Wt@*M
zrGh=haQW}_%vso#yRyUwKIrItcO0&{7BB7x|JkN~mW=<kl(%-bgXb^1pPzz92BKzd
zVA*c!`=tHvbUt0H3mbaweMs5^r)I3O4(u}Rsz}zKr0Aco0`KsT(je`@r|`a@GOR$u
z>POnQ_@=-$VVJY&KqzT%iDemqM`3x{!XmQ2vb+H&dEn7QU2VH?JOwhNCwIcG8yK89
z;JT-sWlZp5C1cPrn0ol1<QDj9z3dKhz9hF!WKzR{jYsz>!X~RTnG~?kOS39@m`Y@X
z{@*#g4+}g|rw-Q$eYv&(3(O|{Q-OQd>a51#%9;PxPry3T)dM52smH@4ZMf)Dky<~T
zWgnYv2#aRt)%C(#TmL!h!AD}lDc`^)av$AE{ucKMzmQ5e)N@C+5&S~m-tY<B#yS4j
z61F>O)R6}d=<8o5`CaT+gcxqa^}ehDB)?1XG<WPx_@cP^Gb{Mc4;tGb_)rpS$!R#2
z{r6A+?5iNI=Lkn$8`JQDcgIZ{yTUmqS{poIw?4WVXZRdvt*{GB$^Cl%5}beG(Q_x*
zkftZr9TvZv%3%i^u^qV=0w-zOa9G1dBPwFSaB`5*f5tFh;ZNyE_*LH#Y9shA_gZH-
z{GaPyS8cd_o6k%xOmoH6MHRj}9~hYfmtJ)2l!3D{*ls+5hf@TNq~ZH~90&4Y`(OMO
z$KY30`9ei-NB+2sFsx}<cKazT6WsKL0q%M!om>JR=#R183h(i^JwldGUOCm(dlvmi
z`n?!g{=S9NqzAU!vvTYiT%9{%{{)VlGmtEWd$gVo=fPr<UNkS@?zvd5+pu*^6<s-8
z9;ugl6W;WdViVb)aG4#CPs3e%8Y#*Ca?2YDoP`<f`OlE!4R_~hQGvOYbX>{)JUjSJ
zM;ZRO{aG8yhwJ_JbappPRaxIv0EftWy7R!t6c;y<^5-_1DKo&g_HAY)`!ABtQM(0}
z(l_XP4hK)nto}ZO_FQKCh2+oe^(Y9Kg+o51=M}@cU&3B?!}X<io>#yvrpm{=V3`+R
z{Ym+nF*c9a@H5^Iq1EsnosQqH;B?v@x}^O3<($L!VTZr-hVS6*hPF@A;YCS?DUv@C
ztDw)82;b%U{`)<AR$$Ye1bCMu%icyf-s$JrF!+M$s6abh7@zh%6jrijv}%EA#)8Y-
zVe_&s`!4c({bQ0B;kC%0%OrmzFOM(tEWEihpK<_x`na9<4D731nbHs6w5^S{g8hR1
zGDcvL-)?l4aMg`y$ziyJ+SbDmeqE^~{}ZM-u<?&R+~=m(^8?<KuxOzP&%AdWr$9c+
z-_t#PDsWH!+0b<?=f3_ySq8?u!g1_azU~@XBLQpdI={37elB(UlmhJkyN32493qo#
zCJPrXceo0`_fO@|sKReY1-zx;xtRQEC79ub$`Hw~@mngqstu<c(D-EtzjWSCgD(sU
zR37I|Nj_Z56}G#2aF)(4D=XNeB$PuJmOC*!Px5*8ng#tw*3TU)Pf79xnTAe;lJ$T0
zVoY&{Wv^*XNW%LE3eriwP*g{r^KqE(bl`D!*s=dn#}Qbwl0(i1zE-l)PzVnCHr90o
zX6M-OdM|uKIN&qMM`Mq)mF9<OmQ=k0VMBGB>|HRmM2~McETU1u#{pNRr!ilJc^rzb
zZ-X!9mU5H)r&s6At}(!=|E`qA!3W~a=4jy#(XbklKUN(x`I`zhJNf=#4*Y;_B8nci
zPVE&fhNs2dA~(Sw0uJ6Qf&WrD^N{tcn-$)#gzXfv(-`4)wT+uezLyhShS&~xDEKx*
z1I!TcsfZ1Z3YhdF`C(gB+q8M${p`Me?eOR%#d|JzSD2(0$tTO(JNJ*&$8OPPz0YvF
zA&>WAnBO&-dk7X7X3Uj?6OM`Se~07mi0vikKjzNQ>Pfg|8&il4tn~F({T!S)Ekt1r
z+a$W3UV;n!C@q6w|1*1BsK#+U3*Olu2y?&Yk)nkoF0XI83CEu~q0I&JycGz)2D436
zkL-d=)+J|1e^O`m8s~#2#}v+oz?G`h`g>u^<)gIGq<j~Ty)1leQ6TgxTpJj^Bn`j%
zB{Sg<_h^VxsKCr;MV$R${@Y1OO7NvusvVc$Djmf%Ex4!lxB=;}&n2?NHDNjr?ecSQ
z=ct;DJ{-a*Ek*jP$A#QZJvfp>H;WuEKZ9zYDa@=TwTJXqFUibHCh$yw&NU;rq*2=2
z8ouQrPDlD{b;2DcD_BKb%R>uJWIx1q8m7H|<hKU=R%1ZT9v<*AeM|b|dFMa+m*D!S
z9W|nG%MSIQ7vVoPhYtzD5$8|N2g9!RLkAAR%Nx>Sg5b-_^S5@xhd;8VCBnx4IWTa-
z3~A=#ci@xUepi@b`zPB>>)_&s$qRJw<AbA>^{_m1`v$VyCAwmU@h83qu-f{P_N>)Z
zXu1uS9F^Th+PiC>k()4VTdzS++V5R1^H0a%pm4rSCRqK(%`q)FBq)$;3w$IXQ|AQy
zdcdTJ1zx|Ce$JElhO*#RxXJBZn-?4`w4;_4)|nRQ3V^4I-4sdr7ahiOLGT^}#U64z
zch5!XCc;#r`wdBd2)8l(mH^++F@8<@%OCaavpI13tNxc{`y&UtBD3KT3Hm)Wu-nLy
z*nId&y+#J<pUFx^6^~$!eGf0qp2qWr1a0ken16Bj*9@#z^v=8h&g<K5{vAG?vd#7-
ztgWckGX}Glwf-%ETLXO+2jDX|*;Xsz4L(n+`r#K&Hw0h9Ps|u^H^E!{n}y%PO$iE2
zjqnxm$i^CYR>Ixq4Xh(o-O>a<-<1Bh5`Lv6vQ`f#Jf~=S0+&QNP`AO_?+$6?!&O5Z
zcUxe(50=j{2b_W`lUha>?Bo%4BopS?v@G!n-rZH4lne_B@X8Lrhqm>xCBYrF9i9Df
zZ!3N94cNPTu6G1ZP7_><ffu&txDUfJW!7h}!bf*hU;YW_@A4n}500Hb&oB;a-+rp=
z2ir|vWuApSBO5;Wz}YUsc{4Db#j=<?%wnWm@E4vQ-Bxq~R`!}yUw{LcRk_Z>MtX}U
z)?i*?v%9C^%iA+XSK#dOYcy7{;NXLCnhC7W?QW<Atgd__gc=SvY@INGb13w}>EWWJ
zekXl+!`b-aO|WE>vWx;eX%qX3363_<c_jx+*&Q)pgm0&Y@QK4++We;MaA8@*eNk9s
zre>NIeq#HYP7scKU-*X$zRy$@DF81r>0RT5<C*7XdEqTXk~jHbThl)mcEiba9sBuU
zm68L!?67NincyLKGKSxj4d!Ihe|r#a)WA1JxTspVQ5e=KGLYK>$4u4P9)-EzM?Rp2
zr*3ARJ`RU81?;7Q7p%or#YuVDqS!@8+%L}2Q^~`3+H$u1gS!NUgk|6?4(6e6aR2JE
zm<lXDi?jha_T05*CD^~=c-?2%^^nm=Eto=tU!@;*JpR>56P7$<@#G`SGnIW_AAanp
ze5f5B$SP0Og_DjHu2#YE@s~4AU`O{vze?C%jzY>9X4%|2S`5?hmdIJbJ%a`IMey})
zb#CVHlS{kBvS5{?9+&Ll_G{~f_hF%}bduKa(AC`O2w1i7vFsTbe;4B#4u8=W{^STR
zE0uo=fLDe;^t!@-hT{$WVXYTko1Ee2k7)L}z%Rm`wqAmF#`I@7!R{54*%#rwOy;e2
zu;8x^PlI8d%O#tv;WFkh)gV|namL*k{t~du@&RlkQS(g)Hg}8olLL>suj#46OLceo
z*I>#7+7eNCSB_cCI;`1NeL@z#d+>1z`y`$ZgpJ-Ehx>v(sCUAw^bD4YaFVF;mV@w+
zBaNvXd|q$AmjLW>?e&xz+&ShOsssy2Y(1ky>~m^D8ID@6S<!;Kne+cyz~{0iJxO_5
z-b6bq*q1hgUJvGo@o{#8H^-jbZ~~sUa_cw`pOU3YHG=y#)_e(vxsLo~ISJ3`*Jwt<
zl>W(iX0T#-n8ic*QRwXq1DI_+{_P{!p+Zi=0^XT5(q0Y68-I9e0t+QjNY}zI4qsNa
zfw#YTbz%e_eZ3%g3jXosd+{iIKQy(C)c-^OqqQrrM0K0G6<o*WEVu>>@OurOhQAg*
zmt>p5_1-$fn3UJ5`<uxQcUtpJlJiM_<6)5m%;Wxd$N?5_U*nR51FY{{c7>y&yY^|q
zla6ODlJZG6#cpcBtm)JnFTrm+wR11QXB`!;IKvyNDj7ZDrvBco9&pAhTi$qBk7ky_
zjkseZIsv|WE+WwjKC!nbE(hjX`gfD8Pn8NO$S`$Y%zi((r0)^sGnnVDe6|nFPT$=5
z96pqJrac<wnV0D;gHN(E>qf!1H9D2bVGp;Q(OYnRteSc)9L%m`cN6~hYq;Po%;G%w
zHwjjbGcEoA(`trzCc<nqi`*?Rb<#Ha3^<AEB3~EWo%bvv4c;5d7Sj!@{FUQ=05^QT
zacc;kmG4Q(fmvOom%qSoBhCmvg{6apX=dU4v)2Uj;F|U^x8Lx$W%lY9u-rBKOG_|k
zT$XGh95=b^^D<n_cck+b%uRLo3-vUv|1-rW%V6zGr?hC{Vt<A2)$s60pYB%pdO(fC
z8+gJ#?Ii>JdBcgN2KZHWb~QJ=V50Qr9lYzu#Y4N{6v3vb7Fg@${E-82pP$@@X7~<W
zeeyxLQRm&gPq5qO&P+)-Ln<TTBh0(|=@x1Dli6ND67Q;X#kVQLt_#;5_QK~qS^ZSt
zpG=rW4_;bJ4>|$MjkuS8fgg*6jqAYFOLO|;@a6~iep|t_laIAXyp_m^vb2GR^aQ_7
z!xT~Mc4uMli@{b?Fx#IMQD<1NKR9}gl%KjOc?q@-Zr!j7*B<z9s~0RJ(=5V(crP!?
zwLJj-bDFJyTpw1pa{33t(roc+tgwOC%iwVMv1d;WGu)j~Z4^by`?SyS!x1|jPvO7o
z-~6y-a^-`~UC!6uhR2>?qaxS0L3!qe6xhG<T_Cx>&1UR5b`O5Yp};BvE4Md_XTyDG
zylx4@X^MjxIk0Ha^nNM$RdYnn6L?*eC;K>TuXCUA85|OrD5VIii|MeG!lNR!CGxQH
zTbIC>aI}w<js`rjk>kHNq`ZS&qZ;g#W^Y;x+sElFn8J2{*eu_}<&+mLnZQPtu18y7
zpHQ=Oa{rKCvrnuGKIrAS>kQ0cO+PyfoA-F1egV(LADQff@3A|K7s0lAg91Zv@3xZs
z7I+u^!rpG!TP^Kq8yq>{wA2e%QUqIlg&R7&=iA}SzNfzq!`7KU8$02fYU&JgFiXd;
zw;y0@T7ld1a80Uhax1JeLSMB3_nV(LS;yDI0^cW;$o+Fd>-%#}@IqJfg`M!a=NpF_
zcz`GG4|)Eydo<rnjz2<+Gnx;cmm6y+houiJY$eaLC7LHvD`EDL9w~7+c&A8G3EW6q
zP)VLAx@R1zNd2xQ@EVin`^sl(tK@um>df~j!kTNj?S=5!jviX_yrTOr=)+^UyY*2N
zd7kmT_*6U}zV~j|Zt}bnYaS|0&VP-``2U}WvM)cqOU^&{Ba8n(FTFb%a3>X}Y~5RV
z4&^JE9#Evia{)<4<az5`-^JxSaMW>|9`Za^E|+vV31(CIc%D439X++%A`;$FZ*-YF
zKh``}d`H@^`%uG{2>4Rj#A7>{p+qY^7S`xmW^sUDOjL`J_cvV6o-ta$(S1&3N$^tC
zhY`{r&*qtZdj#LVcV*BRUL9O@%7Zh^!!%4`312UYB3RB!Kv@sAQ(_M*hEs0ngc!nX
zM*`Jb;b*Mh{j_18Nv`*8@XeOlF%l1KlN0QE;b@icFC<>f{uCbTgXK+=iqv6_Jl^e-
z@P`fj&*Wh<#qxwHINA2lPDNPONJMY}UR!_8Oybj0VB@pDu=Z+6fE4UKt*AzU_hsSN
zk9!}3i=K2gQo=firH4h}79Sm3I@m0~^z$M3YV+q2did6_Qnkad@Pe@~3+!ZbL~$={
zIrw#z6=qaFoVO2t=wK1g4L{3C&mr+u?aK%|d7oE)^e!WbuYxsJPY=Ll9-cHz@bw0V
z;zRI@38(Yh;KQYZ+M+N+TidzK@J|KHRxy~$EQg5^&h=J5Xa?Wiv_iKL-uIw3{}kNn
zEm*-1+gabBA@4ueYWZpf;jGs*AzR@0=Ym|w@fw-5_6fmCVqxy2KE}FbO%KC1YQxXu
zU`pMa9O|&d>gE~~SbFjG4J9~{Z_t#S?^D-w7bW4i`B5v<9$IAbypF?1t4jWm_L6r<
zcIXJK@%`nx3v7CKqFWHQObtsQ@mVx6P>~-#-0Sot8t(p)e~cSGzLw8^9sYHQy>TDh
zKbgiy;^pLt_-a0QoR?lN88#QKiQf(fWiJ`shwm*fGi`%wIvs=4;OO~-qwA=T+8f&8
zxo`xfo$VUz{%>s;>0bfD{~G7vq|7h8B)(3yA5xoxxmi_oNPq25G~YP_zyHf=NcuBl
zz_o<0@MFs69|bTaGv7LSUmV?$F-_t@@%58_-S9%NZWxKjE<ry=Ti|EKB?%;6rJI<a
zYJ#^4vQUtCw`}lc<|E9PFicD0VSv?uOFR5}^<iH>Ji3&dGz>TR1bi8RXCo_F$o3gs
zziExZs|WYwjl-TQ6(^_QuM?vCf51#RDSLmxNgo#t7hx}6Lt%;;JdY_domhaq)!yHw
zgg<v(947VAS$FlpHn`u*t8W>O7u_Js1RE%_sr-TOmkcQFfCJf?-^{|i4Hi9Y@LTz!
zgJk<ldg~+m;OmQ-yx-sg-77wO;Vnm0uMNO~M#@2l;m6x0HhzXT{(Z?J2(M)KUhII!
zCxSRcVQH?0Npk$!$NoG!20LzXF=>QV*@}y$;1fGdKGwsL6#KL#VfE9C(p9j|i8K>U
z_}TThBCp{UzRi>B@b|HEsV`umWY52*u*^DtLIG@P-Fw{xE;-$__5iLGzLj+uPTa~e
zeII^)<;QU^SbDhJG#QROc+~wJe8;R`Fd81Znsm1Ye%mHN;R6e~3fymkb$|ExU4eg1
zSc*5o=j|fK&cim<<I?T$0Q+7$H<;H^`%DWgX&EYN317a{>e2<Xm~j=D!+{BF6rbP|
zhd=BzfGOhwHVnXQl@19fVJGv)cl%+1U)$H!VQzK)`y=oe>jPgkc)Czmd>HP@HW`(L
zdtz&)f5KO7zT3#aZ0QqiKVW0+#6}UgvahlKAI#kP<jqm|qxd7WC0HnQ#Y7U8_Keb}
z`-S)U;*`4Luu`J?YkIgxRCiPk=5`#ZW`?<n8*Rw;mJ{0qS>XfESQk`b-8U-7xL_@Z
z>+a-x2Q95cDmTn<s(Ygj-2HsdLm}8>Yw4OMoKnHXd=xg+rAQ#hUmz9CrvaZ@5!$E=
zKdFs~)r6mRd!?Gd3sY-x`fy5T`wnCHdj$Qu0i2r0{>%!F*m{-50yg}7UVzkh?604@
z?BVpH+MN;ba=$g3Ieg&ng|tZ6k?X#xH5{8JWtRy{UfX0~0(*9kj%C5Q{n~M)e0KWN
zhZS)7``j3^y^$7^!=ydFrR{JqhLxEIPPM^$LVK-s;DeE&gQR^6p4AgQNj$WPp2U}3
z4M{@e_)3!VZj8d^>u+eZVGHVGuStAbNupd=g2SjkD*S~FTK9iag+B$Exotwc>&&oe
zm4#E^&ChOzTR;7mqX4HE`E&1rgNF*!kHi0l*s?g`hEI?7ll|TPUzSKI+?QE#m>kdf
zYb#HSVFQL8G*)ourpx_xaPyQf-D!9vuF>Qj{At+H>kRD5Pdn8NuW^O=ork{-8=m_B
zck!2fy8v&$5WCh1ds!V?zX2QENS$bbPo;P`-+~8eK819{29)`i@55@>mApxL+@*ib
zgfmZgGYr5H=Ov~K;SJQCG=1;`nOmod;C&36?heCl+yyqT;cA8>Y+vD^HHP;Uusf@L
z{y6+r`e^$**j6)a{|~tNaJ)=Cd`G*a;ujoKSE|$s_ZD^>pMis2K3a6aOb+k%bKrY$
zgVaX*L0DO;KXV7XwbHkF2p%8ZEXfNu|9IZ<9k!m~C?emZj|B?IkHc3JG_(%D=V%;N
zXW`==M(_5)b9rA2e#3p9Ar?pA)EKVPCAfYpvg<JHVaXr63R`~|qLPQrPo9aVoyGaB
z`Whe$Kff}wz5%{YvxP+srmh#+zzDAhY`#Ihr>7_A4{U>XnOT$@!@_^>j_ib6C=A7o
zV6FRguQ=hrfK2<-FgGiEH9zd}Fn+)RmJ=ux+y|dIUhd%vdoI$52*Lh$9!@*Mb6IM1
z!tnJ|e>nVMm#gVal5neJe}XUE&7tNm1^;wiKlC4*XL>(W304mt&JBSh*H26<!;MdA
zWuxJu#K&{mu=M;$DN-dAHXB&j>cCt)8+32MQL5!<jN$C0p@ti<<#zXvCh%|tg-sHC
z*si0;8uoSm)O!aGSBO=yh1svoUr2{}Bu(@$!e@kToxTT8f8AN(4qGNaTh4}SdPf>V
z;8thJ+50fli2||zVCLN>5s%?zC4Z$jIG3lz{{h?@sQ)w`KEgA;y#T(k{Jp*iengkE
z`Uu`PN^SW9HfX(m_W$cUYj0l;+lU<-Ci`<^&TpX%b~5ESkqCD=ep;!96AfP1CBR;L
zY4=vauU4<8gu&V$j1SeryX6I0Nqu^(yHve{MH^UxNPQQ@mA-3+>(dGrz2P30_oqI<
zGFOuwF2a#h+iW}G#b3gM=i#T$d~+Y+_oBNr&cJQGj!S)Tg;+t2BfRVrwx<Vn;{WfC
zA>7APao`J_?ZUdv0RE=*{`DXnz_#wI2`hK4)qI10|BjhghtH<bnU2Bxm#^56_N&1o
zX*C7+xKj6#_IvHR((DB6{BcTI44z$b`TGa9>h-D=fp7Zx@yx;@^xC)gz+ZRY+q(#V
zG;7;J`kRVqX4zlZVQ=|m(jO1jS5&RTs~cr!+28~5b>COuotv27(ZY<@y;C&5@%$rv
zTb>3kWd9sO4W~N>JX%J7A8MgX;e%C64ddovw;8q#dtsfb(+Ah!AKl_RWZ_e4$w`aw
z)D^ujIau)fLm?`xkIUxtO<lNQ&4zCs%Xc<}ujs*H<8EaevAjF}A;URX`jO26GTy`_
zpv%_@&J}d2q=)(63<tZzLcN8@>EONPtW%fZY}1OC?QmtX@M0*uaapdG5pJ<^I~@kA
z)~cT($FCxJ%{?9#ODNT0g`MhJ2NGb32bCjSa8laLcn<vV0cQ`1XT5VWCJ*4#)O*hJ
z!6#yLEuX;^2ef{W`aQCc(NF-p1?dI~z{NrJoo`@0mRpzh!*8GOQLKUUisCkr@i;A+
z66#H`82{5yAvpGX;*0mNZ`HFM67bZqXJsAmKf8Cg$@ylG^Sj*zM@ZFGlK7>Wl9V(E
z=UR6iSA|P$X=uN|Gj~6=knuu_?ELgU;KkoxG)};?dpC~$go79dJgs2kDZ!t=VeTKp
z(-tsC|D7X$VTb6R0x$TtQ=Qm4EG^O_;0c!nsAf|9A@_eBZ%F*=IdkRVCit9Uixe5(
zv@)}CdJDYJT)q+y-_1~-V}a{@3NFXNW7j7ncfuPfl8--uS!sn8c;R8ch{8O0+UVES
zy>RWav*$aw@MU@s7t9<VxKsx#nEVswgHOFRF&Kv*g(e=_MZCeO=O=tM_AL!J92IRu
zvjXE<vBnBtWOj^Rh5u57ckh5T^Yls>Fdob(nYo<_-s)#5!vuRhk$KDvC+^cY#|szu
zRcFz|;<5(Qd*B<VjF`5<#cCR1hhQI;&ds!N!*5->!|?W^D80?_prG&vHMnzXMS~LF
z-!5jL0YA;U+)0)nO`8AY2baCr*}n}AeLtz^3tvq%DkAk|Y2V>@4Q4A_eZ>iPvb~!p
z<KY@6Gxn3?lMpGrb{oc+D4~6@EJrr&Ets=lE@eM_K{(-VGW;++^ZpTdRV#os30_EA
z^F0R3?6OjP1k;2RhDgDK#q#A3;3kh<7P9cMPR{QyVQaTfcB=5e%%W{6T>0=uiyAzm
z_kE!Xez&6iNf%~GtGZYT4`|aXorK5#<!z{k4VD@;%-{&0px}4#0jt>JQ}FIqXEriE
zanl*S*LLu+P|2Gg;LOiE4m!Y*ANlrug2&}QA8~=VzMM+$fSsTFZaxoRT&j9c#zzY6
zQ(?Lc_uGc4j=;RUI|Hu3-wa&)C*VB$XVDRG=(+DLKj7p8F@GcB(yV63S=ea))Y?sW
z&>(DZ20qX#<8m8*7wP2r4;Ejbzmx)>blx?+07nT8Xs5!(S4MVj!g$TiXA2E-;4OVO
z;x@o>?=q@#;qd2|4l=^FX5MvAVG%WstgY~PlZ!|Jd}_zaaW;6pR8{IFY(A7$$O6a8
z$vr58_vHs^aKS&Xay+euujFvm?1IB~@7PrfkGig!^1}zbrB(ir-#42GljS#FoqRqA
ztFj-f=Y#LQpsu2s!~J>M;a9t1<!WBR4e-CC8&4jD9mZFVF~FHS0vq?kBJ{g67-6bh
z6Pu&3bIfWkJ3LX<&?5xjRr8(R1&dhfrf9&zx9sNm;1!iu%<AyAzcsD<;LhCB@@DXu
zK|z-g%*FKKr3oy9C~+8WmioI#7Y<)pxMmESa#n<>!M`8MEt<evePY@5;NDMs6gF_Z
z<ma0@aLS#FZnp5RoB8|5`WV#Z{4T<2=2ANiVcm|nAMUWn(xzt?FiU{LLI|w<E9^em
zpZ?BjhyUQ$J^B)MaD0wUP!=qg&&o;48@T`8mI?ok)($s-6Uv|S6vD$t?s${^@w+Tn
zSOD8{HxHBjjWF9$_7aZ!H)){?zbMPpE`{k-`RiohSUN7-R``p8oA7aXDJ%7NGrX*u
zd-n*Or7TV{2s^dZ#t6a}J`~*k44Y1_{w3${$f+yIqwtu>M)y7NnaG(#BXHX@#r~ae
z#V&WrKXAIPW;1C|9#SLkXJN;_FbM|u_)pVb%6T%rD&QbJ9P+Q$g#u39^eT=DrrQ-8
zz8ij-<9}rZ?OQZ&at9B*R#g7=53I?Y#IqmPXvj4G4YO#?J>Lu878`y$4sVN>uM&gz
zx#pC7gP*=i&=-X*$H#UL!pZl<%w*t4TWXR&!{42veoDbZ->GOiVZIBKG#2p7y*l5?
z_~d2(2bV12hS1FcUGULs3O<f-EJyo1DIZC9wdNdb%}-T24gc!?Qf>=-X3EI@g6mkG
ze>n>)rhO40{lQvAjOr$Q{8>miGdwHAc<~m@nJ&S}3IE{n3b+q{V~^QN>T~Rq=|m>n
zsi&C53uk+8`TZEyIy$zC^q)5RePNGa`^UoJ?67^)f49ouc)#;kNdL{%N#uJ8zo&iu
zmDIPNlY+n-ICjCvoDMFD(|=tF4-RI&rG!^f=4<NUH>Z!wQotgvG{*1XL;2wk{^EG-
zX}m9t!OPwyQ6yf8FnAAqgN>a}^DM#M3aq2k|Ns5BL=vwCtT_yR!A$z`hspXk|12~6
z2mcqyl)H}Qo4MZBEy4{B71AVr?Vvo<Ou2yisue9F@vBV3OPU(?%>1HB;#Yy=YYk@j
z>Z59@E%56roh2-ARGUj1Io`-9uDASf8?|)xHhAMXxnuj_q)Q_v9B}xBD0y*s>&Far
zQeOc(Up$e3<091uc;M~6_Txct7DE&JcKF`(Q_~PQ{IK&A^84TAKOJwuv^Gtt<oD~#
z@*TI~EAP&Ukn^#xGT=)lyq&L<kHpIe5$TE?_^-e(T@tS<JcnwZz<%!;>q-C8Z+nzc
z0C#Y!{g#ERcN;x;2~W$}I+OmIyuFI`6>M;PX<Y@5D0ktkfwiI;y_I3-{W^<pVLwjA
zEF(B>Xnp+yygGGq7l}Vxk4=AWg=5|asX4+I7js9t;ai;1mG*G%vCKDpu#alVxCgAU
z*{*&VUSut|y96I_9u*sf*_QPF`oc2FIWm*5&5GUyA2@5Ibmt8G&EZN)G(5)}wEHid
zGUmQL3idNhTU~_DCf$)ufw$aup`rSV=hftE#YwR28ifZn9A3kzeIJ(0Zu6ms_2;+L
zro;JcE<d)wi|nap4`D`D*%=nt$3L<y7k+>5vlSa$k;H!H8GP$cfg?9OErfrpfKzW8
zcksaPRjzxKz-Mn#emw%;d8zI20?u4~swWKRu=e~bhbg<S1UbQCeHY}P!}RA1n9jkR
z);}JR?XN}NId&8Nrh0*b>~F_pMQtq1{QIXfIi7c7i`}^}uTO7#9K3tsv)V)0zu4mJ
zJ(#CM<w6h4n*C0cEO(Pq80>|mt(2SY!W(moCdT0p=Tyqb`ht63noq!$=ica&?Y%4Y
zwEF`KZI`Me^;1m|*ft0I(HC2g{re&=)4c)*d^^}d>ZifLym%eXyTY|b@<T2qa=+gA
z592M{uX~aDP`js@LI<lo3CO62{b!i(Z->Rgzq8lDwgcKhtgu4<C#7z9uRLcs7rcW;
z>eVM$YFT!k8@BoOOm7fwDPmgL2S2;OSpOL|E4Ar62$y~QH#-IU1|9z@43G2~I8DMn
zF7Z{Outub0{3?7%$)ipNR$`2$UxB%AZD&!0^TS5ovm#$c<nS_wCS2bwtjq$h|9yT=
z2ewfNr51w2Pi0>)hQn=|d`Ujeos3Hrr(pSVR%w#2lU9HJtsQ(O*R)UtmX4qMbq;>i
z=aqT^&gdH(w}q+QB=)((-QuFB>|y=*ta2Zi_v~&1bJ(H6PQ?$7aB;1+fOVBydjEr8
zDoDQ2hTC%GC&J-B(RH_UVc8H4Hj<C@(K{<z4K_aCl1B2C>T|2qPr!#)L+42T)$W8@
zT_ads^@9t^@4Ed?zLFdd->3v-E!;ux`OXUVwDR{R`B&Er>P2nfYxCc>Ho-fdH<?Ai
zDZ(puBwuS|x8wL#Se!lK1Ig#gh$;V@01Kr4ct!HB-el`V#*^jop?jagOKPuE^I-|T
zk?2RTU6Ptm9_%|9IG+IznmLNSfJY(|UDM$wOk)$Ra7Xy=9oopJ>#WlL(+&4<?!Q6u
z1*_yso)5rV%<qi4z-L?q%En;tO?NDuVWt7*O+VpH6Ir{$;4N*p7=Ocgj;XgpVXXj#
zmcQ_H&+7MVm}2_<r**j5`ImJTTpIF&pJox`@x=ddSHRz11_*9}Bjbh=%3;se=YCA^
zn*M<CC-`vl$^Ul16F#*cI$&KI2PJMe@f^dR1$bL9qt-q+^x;&}99*aI@Zdo>uKGqT
zE%Hq(I?RQIVS^wiDH_-!nqr$MEIPdDG%Fm*U$#RAe#JG=&kTz-y8M%aU7LJ1?1hsq
z2~eoRMgM68@WFeoZ@#DjFFs7zE(lA<G+j9f&)v3(5`cGBKK-r_3p~%`7J*0DF3p^R
z``=$o5Qe#IENm>`wc&CBDL9Ui_pAeKCFFnqIDGU1W49yhBv&V{2%o&tJ?IMiyb5_D
z4;xQ6>7Iw(YMYca;GMb&CYRy;7emU_;9pG<;y!Q_&$dxh_^YIuTnNmiRby@fSIC<_
z4TbA}ZTe*m>ueAxiH0k+i_ciW6!%5$#K7g^3b)Ra@|U-yCBQO_-#5C!AryRpNpQ3B
zg=2xR>lkHt2K+IZ>5)GiY^tl43)iS}tdV@+!B<kcPvNaEiab-{?zZ=V#qjjEdFuw)
z-?=fo0@i#P`Kb=R<a49+Ej%S&Sv3o%Xr@(tfJIz2#ec!s)*IWq;5!?BXpwyDuMvX{
zEwEFmT_?%Mj>y(})DB0bb*;(4pH_F=Z-k|ibs|YVcbUPf*=Cp_aYfx6=HmAse+O5`
zy0?@3aO3ReXtKV5FHI+Jz!iJ;#F6b47wgx@z-=r!9=))6)0^2ecrkO`?<<_csdO$C
z_8L{29EOX$yjMwnylGR`+)r5k-<(G_Y%nPMX$l@zw@E98=Q=V5=3y80E|wxV+ci~a
z30@X*?`(#53eZVVEg_!&`>OQ;Htmw@rGpQb(lxEaLJj3@WVsD*njt0TAJ9JJF|q~L
z)0sXiOXe$3Vwz-u<yVXcrD4tYO;0%Be~ep1tYJ3?uaZ6Rj!&+SEMYAR`^3Gle(>84
zH#nG@IpZ+QTf?K}3dd;NU^)UjpV1ofgs*BS?UaBedNPd3d<uUZ)s`el`N}^*WWI%U
z&vhy#_(s0ULMR*%#x$w|H}=Qxj)#-8TPIJz9co|h+=eset*mrmmcttb@4_B#JZDVc
z%?&!4$?(BUb@fy52jS!ok6}gu#*=pNNzFbbGCzdj-!J!1!*$(iRJCxCdf{U?*!5+I
zcQqWFeRstjesFwTq969HxJ>H{TMctPCG%GVpWfRL1po2Rpjv?g*0;7tz{)Z$-b?Vl
z&0dAkaGt=HEPBkhq5s06{5EWMMsz0~Ecd+oUIILldO>*?ob2);Cl&r;e7kHXJY%I3
zkpYKvHH`?s0S7d0K7<?Tew-rng*Y&Fx#z)tom^p3@ZO(YzAs?>-OJK(m}&2JxiZ+(
zJVn<677N*}UJc9a&U<?b&U_L~R}Vk=zHz5Nyn5b&vI_2=S<DQ8U!7tZA?2fM_BWIH
zS&BAGPBy|ehN8+bu<k^+Tnqd=(39!`Y~e4WKL~$h37F1;O;2*w48gfhH~-6rx%?jt
z{Drrg`j3(FTLTMS7vLUFmy_vm%eFqRHMnTZvMv?AS3eoI3|oAbx_2G^8%du^y^QZg
zGY7Ym`C+E&_i3$T`Jbx`2JW!M+Hu2;Sl)JLq~QWQ&Z#&|3kw8&6gdk&mDHWs3cuR-
z`q62)n!?C;3!HpDkA=(+^M%^-KNk3F{;g<IU&mA&?{9-MA6&H6f(5)B9`A%jj~aE6
z`C!ZkQui>xw09Z~)4+Ge0}iplVrfsZsNmVch*xBNDvoy<NPE!Cee+EQeq+;T@f(gg
z@PbAPmj6>O{1w)D7qnFgE^vx|Fa+1wT)C$JkDc?|-VJ-zHI|sc6;f>;AK_7>f&J!i
z-R^-+q<spwWgoSN&+^|5B<*t}YsGyBxRUAt^DzAQw(biL_{j;@^+9;&_uC1V;RkXD
z5B`Grst-R1hqcwiSjhY?6<*ZhSK;&_zaTQdOZJZUaxrlDB;Pz)-_gry&DUVN(OtG=
zewXBR+paiRI`Yk@9{8&p&D>4+_i#a8J)E$&awQ3NZ8zYpgU!TauO-4tqT1Ih;Jckl
z@#%1R**GPc-{t(Hq38Et^Phd)r2n#AzV<2`_IY(#hxFh7Z1(lsho>md@g>1o=8az-
z!7n)}lkdQc2NNzlgvaL>sbk^$kDa65z=_3A9i!lt=Yl(`;7sF3t-<h*(wg1%u;FPD
z)gU<Y9L?<p`0lpjeG%~cHzHX*@K+DHcO+gdDh0Ci!4Dl3&0}D}1a_`rShBRD^%{(i
z^syuGzKkkI62FRisS+n(*F6$_Bz`q>(oW34(v8QH^WnnlkN^CItC=4&kojyPm`-;s
z!Iya-9w+sod4p+)Y6asLzcW951z))9agqjZe!WeZ#INy-yr;InqlMltN&L#Z6V<ep
zln?UKX@c8pBs*B)^qlUR26#8s0~L1om2-z_J4|u)lnxKP_07>{GXKuMveZAK@Tfsm
z1ep(MIX8So1}>yxSk;9~_z&qT!u!o8%g@1ry<Fy+aCNJwFzIiDS5;(Bz?J&DEWF{1
znzCv}@J|)%HZp&c{f@_5%;EV6e*R?mheZLaJ#nmUaw4qz+91LKj!Zr&MCOx<F|oMm
z0)K0b$V!7b+o`DB;L9H`A1CodMW3A|0NxSOy(b&?NUOgZ2*0g=TT0?jk-+ziJMhsy
zQTB(hY|)`339!^N%}^45bYCAio(i*GJ^Po$AB7qBy1Ve#GJpF7c)!#6o;>*Al_w`|
z!v|v?pLq;FuBt7Kf~nRsFBHPu54r>+;eZdHR|{YVy{W_?cxh)1V>SHu$fi&dZ?k*m
zQ>%z4c&0pHR-u+>t?=#YL){nQ&0p^Gw!=?Tx4Zhl@&z{pdSUNJ+rD0b9sSSU>w`T4
z{(1$&R9R*@!*I;Y*`I;1O_VtMC~P0r6%+y6Z#cMn5^kP;KX(<5ar#9)1F!JLag+L1
zn#bcfT(a@MIC8wZE`1FA2XDD>`T(hKA*1F9id8u5Wa>TmztKDwYWUFf_WCEV=BIp5
zde}AapERlOwjcMuZGlBXdfLeRVN*wPW?0~73T3Kf{;(dabUQX!Q97xw9M)LQcIJkc
z4|?jog42|<Kl8w*oCc#cu$4sq*nU_|>fotrm_Mb!^dNkWf5UVmEHwJcRv5nK-ecbY
zHz>5Kh{Aim-niZi2P6;a$iQbFSyJ}EmT@yxvT&b}#GNm&i4s+#Dy+5de;nO+JWyQ&
z2XK34WJb2KvqLsfM2I5Ul35ZeGV@4QS!GMg$|@owS=mHol$lkj6pB)b_jlhvzn^pN
zIOm>o*IC<i@8Bj&PPM~u(EYc$AK~9NQhKH^b8i;g2lz+qp(keWA5H%U-{7+!?3z!)
zb+_dCzQUU_A#$hSlcaQy*WrrUR8?nKCF;588a%E4wCpq-_c^0+6K+5Hrp61te#b=a
zFPza&B6bdr|0CQ<j``dwCHUno!ueA}s${TS`_cQCU@N)eK{{Bnp|t5HoU}7%9~FGy
z-3Qr3xM<D0jS*ICPH}62{r%pDP{LFhAI4f?{hlfoBK)G<Y3k4LwIu;-V*3>8-oP&~
zrN`&5MEI#}r6SfXyq~FjQ=o=xyeqlb;pB<O-Ar&$_PFF;czN@5<qnuZ*Zz(OEI2QE
zh#gk7jCrI4Z;N$Gvk>8f?7}Lrjd}EQZaBP0cfSE#*T`1J38%BaEi#1V#7DFRU?t_1
zN5|k_p=>pL@ZmeL!WQuO+>oItoWfopWdkR<F*fam3)1v*ZQ-f5esgJfb|AR&EbPUg
zs3r-U?b*A>8*VLK8B~DJ=r|~a!sXnD>SW=gK@Xn?!>sRPg~i~r&pP`f;n#Z~rHR0;
zd2FZtgO8c5lM&}L+AVTA4z3g9yvzgNvGQGsA;KTq&auMfr^9|H!S2FAmPGoOv%8}b
zVNS-@R$6%T#><3sc!qs)KMkx^=TLGR-ecvy;}^;U`>6fn9GI*$Je(*`pSYJ^WD@bo
z8LSqF@^WTw^d3BRU#M>m{&8B=B@aG8<)JhV*QM+__W=H`5mZ8y{|D+ee~Mr?k~a32
zM11qz>@D!`U2_-u;B&9%ueZYH2QsLJVUEj#i9K-SR_2x0aQMy~@;+FQ;~3Kfe1$%4
z#}I5pXYwCW-^N?)!iHgSE^_P<-^0u%(UY*A`rkOBzJ<-~{W}Fa=spzq1n<1Ii{b<9
ze(T;XqP|r&4SiaK`&4O~HsC6s{_iXBVd|f9M1GKsKRojtjxH+d+=dU$mU#bxKi^AK
z-GWQcq|E+>9aVJ(iSjJdmiU=`8}-L!??IycS2=~+QNpG_hTky2KCGdx46v_pwGmN%
zWgAtucES5}`B%;0TL!%A%rM0b{Sb3_(V5eo1s>S*eWwk)IkaX^2M18I-?4=$GnQV_
z!@k?C@@L?#Z|&X0@fQMTn_S^g`vx`Q_$;q)TAYU$({ITC!};njl)UqSi)1hEB0+c~
z2^DPwY?Y?Pw1IGW2magt5k9haok(v$%9SQ!zQ+s4owvvkpQ7JEJ_VlnbLs*GykB8Q
zR~CHgROXc(a6smgY9_4Clm3-R@7PA#;5~R;h?|5Drlc{d&4usQ3Hb5D%n#O#is92_
z!s%Ktb+*WEB0hB-!(L5T{zX_+2JE;Ls%!%5|3~Vb3VXYqZa0RtdThpS!2W$*qqcCw
z#etSscuS@5v<-ahrMMK4zMRgi%sANIL3l0zo+}w*xB-9detzjHe0f4pAP25{ux1wu
zf2+u+x(gpFm%E+-PYJzZDuyj%+Wrv7<6Cq5Spv(v-V`R%V|g)Uy9!nji%!dd4@%DZ
zR>Of@d!!0sKT?k1Mp*DpNp3z&H{`zj47Q5WS1gBRw{kZ+;LHPEMWt}X;i!~Xu+8sy
z;}!U(wOniueE$pc*eZO~Zq=tBjtkT#BgcH7Q<*7l?XX{6>rD#y{L^D5U9gw^YArjQ
zv*(LmGrauiydEdK=2Rrv29p%$o)d%1e<}+#z`MeC{}G4(UbuDpDQtQB@lAR7>1Y1<
z$FMP_)NV!i8}pTIB7I-4v_DjbADtulSq49gIH0Zxw`iX9sDPVKzJ7TKz8W^>PzXD3
z9JDil-Tz7t6~SH7Q>$k1UV+k{Tv*%HDAXJtKeVNu2b2F>V6lM{OfM>Az=r*%xwbH)
zU}s?_?DPDS!Wp=RK_w>{j*vLk;tKzYiDJG5(?onZPRyrz^VAQjcz8D4bk+xsyQ+1C
zxc+@ApDzZ&3`#{l*I@U-BV<AFn7X=EH2kDATr!@B&y#gD9B#ZhU3&v&{}5Od33G2(
zTr7eGRr+&+Va0hmvIp?zJPj3M`=lFh3%|mC9JIQL@IUg)+)FUCx>HRO>=MKHa1Hi4
z`?s4&Z%>Uz>MCsLW~+W54i6cU_ybFjCY*i_A1(T~@dKtmNb-ib-hGD?ZxHk6Uhi{W
zn}i+H$rgXXiCHsl)38}*axe+z+a+f%zwiNWI83>+h46ozty)WP#H^OCAj0)`WErl(
zJ-($i{IEyi4c{%;(kZ-ym_Im5KRlR<#HQu_{G7@uIAMuvg&L+IIroB?fB5-}Hc1tj
z&&TPiHT>@-OPvzTm^86u2H!XL`{4@rh-u$F44b)Bgq?v~<(ufW;H?_%oDevJUG0o2
zOht-i6XAcK8eYo5uY$QX;^AhBzfXwyh4(b*_r$`b--3ih;Qth7Co^HE?J^o+c)tsk
zM+Q8yCGF1*KQJHg&4VkLbwBQc6ZWlc<-*NA?dHsI^QHYfb?|x4kEQgmN1RFV6PQ%j
zi<2Do44|!Qg8v$xk0pfzdDix}z!y9}^U=X?)y^Gw376C_P*B5mHIC)4;J)4V8BFkx
znu(TK_{5DvVLRYo6mJ#hVQ#r5R(5zyG)?mhd?}_hiWM$TNv~Rh$ApD;^T08D+?|_n
zGwU)57yQLxkLniOuzdP9asBT16&+<HwP_h8<qzV6v*sFFnP5BqWF}E~hm7_JKU`>`
zwoc^F-QBi^f^bDuSqw3MbFsm^tsE>wt9M=;J}D=yuL#$z3#Aj+V@c?ji8|~=|B>zh
z?C2`=TmvREIgzUadz5|c*N5|y*jTjT+*hVG25{uVZ>q=O(LI9AX7ILGak(knWt>=K
z0doz6jXJ_o<!+TW@M&^ILkD>4&3uMET=Ia%*9T73Z@updH(S*%c*8z^N8&wT8QmC$
za9I7@zSIjag@=52D6Grh9_kOLrI9`$=IhogDvu6^d6Wxw--J~Ywl+iH!c6){sc^2>
zXR0We%DqJBHazB|9dsQgZDXn><_FKolfIS!D?WQ5o(&7N$NWx&GZ+|~^5KJqSI9Hq
zJ4*Lu@59_N<CimGpAf2!QuzDFirZE2l0+#_5&YuGZn|o?{vUniL%4MJHg7w;d66--
z41U_;pWFd2#+;L=A-1PDRX74a6Silng0;ina=(Gw1D@V*fc4w^_q>C@FGz9J!<2Sr
z88h%v*_e`6cu-8ed<7OeY@g5sPo#AVeuoo=>V&)CRQ?vpKd^czPihA&Tz2g4U-&c0
zC5Zu;BHE~goDBOL8_w>BIpyd0C}9KheR3l(m-Dn31MG0}`u!pJsrZ!~MmV=?T6q#4
zD-S5*fIa>yl#IhnDO^0e;3dac&3X8+7q^H2?A$i~Xcpe(-I6H?@8Ofx{|ukWe4Z~3
z>y-!9F2ZjcytyRd!`p*KtFW?~zpw(#)X34a3?B>JldcFGQh1tgz)eS`?y191zLmEB
zgs(rC<<Nws_HCWqhPPgQ5jX^^=&SYpgM*C<Zy$zd1LGa2Fkk#eS5>Yl9NXOfiUKyV
zQHU{z2U=YIu)`G#`YEU2>d>^aY_LtpP_P~B`&{w%UO10+De4Ry^V^Af5B#Ds%EujU
zxw<K{AKpA(aK#7yBeUn80_^S|uzUfg!AxH2@JUN1p-ec?eceY9w#gJPPlr?I%O)jZ
z$+(`KpWw^AF=jmQ<FMhV&+s*sz6IiVyd%`lxyfx>ngW&*cEfr9NvQC^?8n6S5aDF0
zn$fm!z6o0uCp>pP{GT1%x!35B0Nk_^y3-r>IGH8R3;X8vM4gA*&%b;|q%SU_H}Nt|
zSA0Q+*q_5OZmK|7qo&}w6#ViyKX(jVaC*E@9KQbNazZRjTDe0_9<Ce<y`Kr2hRg8D
zz{f3Tc4fo;431UAeEpvqXWb{^9lLZiiS$-nasDw5%c*db2*EQ2C;!dCbT`6x3&M%a
zZ?4b6R*aU{cfrxT-ASKd>dnRt4p@A@9?v2iKAr5s2!9cl6<L94&iowN0bg5u@aP*{
zUfi!k0khX9HvEK{x}_eI!Q~P(`s?ugS#thAC@&-8y(cLtaD7|qNPoc#32O7?@ZsRZ
zbKl^U@QZ9x@Cm1#`5)l@H5{?~;D%jFDnxlT*xQk#0bhMv$-M*@$ew4_f@=ncE7stA
z8Ux<LaLfR`zz<kc{#UXAeEjLY>c23x-Ro>KIQ*l-UgCT{=0~xZ!xKH>^~Cw=EOE<v
z!tcU1cWfd2(({P|FPM9YJC7*eyWDQo2f@i6R{xR1Q+)jgufX&ks>{Uw<Qgtp#ll~w
z-Chyt8*+Ux8x2RU8)*>dKl1zVdOG~^v?o7t{;pYmVQFwql4%@Kzsp!PVshbN3+qjy
zewR7BvfhDx=QQ2N;OCFNid4XNf({=Ug<r2RSC+xGg3?c3z=gd74b?E+Zz)mY{<FVv
zS?@7?hJ-EUIo$47Z1NNy^I@WBgC|+K-qynbV?WOm_d}_&D|4+d+x)kgTKLsQ>e&|f
zTiK{FasU0`r+=v%t~Kp@Rt^hzJCJn2LsuS)7r_5|Y3K&wz9;#a#Qptd_yN9t_|=t*
zzRB=e(LlLL*udZ9cmf<J5&v`?7JRPU5(Vd}hJPWW#Qn23X^nV3J$M=BL;*klnjd`~
z9v;>T<$-;s873m&px;Joys$wW-}yLrErD*Q68zK3v6a}L&Ozbp%CO)~?-RuFK6@X{
zJPd#87*mReA8vRv8^RW9A9`=WdYhTT*0Ad>t+FII*0v+#6ijD$L^~5c`p@>hGaSpd
z@+ckt8Whjv0{b-m*2{yRc#8<1g%8wb*5ty~^fnpi;FFg34U6G0vtRcv!tTLZ4TbO=
zy&TtNxQY3&36Z~L_XdT+U`CheCL({M8cmoYU@xIBABg8sxZRIkvG9kbV5?^^d80}~
z9AS=#FU0d`z2aSZ3Y^8rWZMq^l9XV&4G-*NT_MWDq|eZ<9Js+e%drnW!01nT7p@b@
zizc2wMs~tX#qiTM;oswM*s8d18T@5Vw1%i(wB++a)$oW`{$8SfJ!91QUISZb=hqYU
zOU`%m?=$#J?`{dAJ|tv2_%_2^&D>2y{hGNuc5M)@+PQg$c%FQxJkK-$yGC!(5%py!
z$)wOUoH+FI3$cGX8?UlSc*1Ge>I>{y^>UJe3i<yeCx)mm$txBXRPfP^R9>P!?f+oq
z!w27pyy*QA4to6Y13&y}*^6uimdLubA_}*dl=~9*8`<mPZsIWC!+TW3@grK^`pCib
zYVR(s!=`<{ALZdQi9>Y6{XoZZ&#EfyYDgcn2~UJQcT<O-rfe}%B7N?*moMnSeSvae
z#QkA3fA^w3ysKWAmAGGSzJ9fO6jtg#_8%QAOC$2m3|@JsP)a;+M6~A?Pr|P~Y<F|R
zf25KfPQe<Q#t(`6_X$h`;t5+MBqZ>|7CD`tykMt$A;MztX{tu%c$kd!<vekJr(wBv
z{RX`CtKqT)eE+^~(ruVCwf!Rzzt&+UG##c{Ph(PrxBlFZz6&?gW{0W3l1)BZWw1!f
zC|?M?SZ!ul4a>fLc{2#M?cOf0gUjW@j@*WIuYRg+fxDFa8dBgTh7svD*fiJDB%27|
z)vD49YroQO%7oS1D<Ag3x246*@53Ylck72>>l-X>d9c}++p;5Y@Vg%;O5l+6DAg&L
z!E3Ce7#9EUYUMQitFqp@5`KEs|LF(#glA^YL%282Uw#p$Eey1)gUj0O4sF137W*`6
z;OIivXTRat7j&<l!Q#(Fmj$V9TK>CCLh=N@ba+RA0Q}*G$k}q(YHBu47H%)TYebw6
z`^gqI8QAJgS1obAuV<pgwBSQa@@aQqPIIS94VXc}hCCH6dBM|h6z0~golAye_Aehb
zhI#X5Ok!bkfiA1#M7Uy1Q#8!2oHk<)_pDV(gu~^oYHQALliY7w;(F}!rwnm|%jou8
z@`rDyW+z^N|LWMBAl74=&2;4QfkhOqx4OeKx#ddHaI?7vvkSa1=hhqrx3YKz6YCkV
z@CK1L!)xcKqs`#Ox$!G4aDQbfk2UQ4;$PZZSozWiPhvfxQ6W#JarmfK<rc9%()C-K
zN`K(8$X$(=aE08{^1rY)-;61-9+IH<o>qDqJWq-OrHS}V&9aXe;WAQ6%X6?=)#rK+
zSX25)hZn4~li~pvyw&-7DH!HrXs;54uX(W866J3r!BRpP9t#^;{trGgxl2(J-eJn@
z5CN}68wyLqaZI<Oi1NrVy>p)uTz<S~Jqhliew42a4{yc95ascF`IQPSIMt_NBOU%+
z)Rv<QH=H~mKwNKi%ao!cu$8t;0#W{`MK$=1;iI8K!bJI-*~=_`9R4raAektCz8uYW
zPrw81lp;j=8#r^T#177&6unK9uLIxyWjMm0|J`Zqf|HaUm;1n;Ca*Kw;d@aR_WHuP
zcJb0LV4Y`=EHhz8{#NS_*njxlbUJ+C9$jZ6eA=>d@h+^DNW1?jtjRm=lM8S8TjW*2
z#$hE_ieQa@Cd|b74zCZB6~gZhW&{)I@nUi2cmhkFy>_Yq&IpgXQw`tfd)b){4+OM7
z?T1M%Q(1}pDHnNnu#fPy`LG1o!Hm*r9`2Tp>L<!Gt0u>%S@?q7hzfB%3~yZ8T!mxD
z{^JOPzxZB_T!BeehaxV)PpXE~NNDjrd&|$!4?dYV#=nj5wf6RYPxy*$h&VOE=Y<l~
zJm7Yv;5-_*N=;*sDDMK)UDdl_e#Q1OZ+Kt*fD|{(8|$Ne8P2fYtt|oHxc8oys4o}h
zCF>;Niv5X|MES}Y9BNg7C1(x_{Qv$I`02oY_>|k%$3*$^uSq$mL0B_eh)9oMSjAIK
zIK5u)36WkQdYg_zFxRthdt%_{YgaT3V0)?5I-<Nicqx9^47RaV6HSEm$4#1#!4H~e
z8;Ja*ry}XGh6Q;d#M6lQG7>sA@OeMcXSuLZ>C}<au>EG6ByoTFzP97J3;gJ?TXP|d
z?i$PmaK_LB1)@Cvu$zl6giCiCblrmkzbqCs!8&wVEX4LVmJae^a`YCC0i{A>`=0Vu
z(QY_w;tm^e{iz0z-R*&uQVtXo_rIxkq$RIl(ihnrWw3#uo6r!P8K6{B4UYx(?w^Ox
ziY-SG<x8EtSmXoDl+Rbu2ES%=ko^X)IQ#Lm!rz|^6)(d(Khr+yf!U~TRQ-YtN38j}
z;gD`B$=|T1*>dGeSj??Wk(3V4S2tCGL3qYcr<@E<7#(>02HvT%{e%ua%grt{3TGG6
z6f?kAW7P~l!s^-mmF#fj!Qk5Wuxg;sZf@ArK+bm?R(fUmc@@VKG8{ZYO{{mfWAefZ
z%ww-wyM=JSiI^iV;Rxf`|0obH+p^w9<OegGXA%P((xLva75?_(PBk-p>E1oj=kVhS
zWdkla)~tp1Df~LEe~cS`J|&#m2$zqaIVTKzd8x-&!-n?1w)Vi&#W@sDU@h{b<bCii
zj><pfu&E&b9vQfaoZ0UoY%5k@s|^2V#^+H4&(0h)JOBr-y|pfZRqO+Nj=<UO)28>}
zgYG0`#&D=cnl@2hMz$5j?clF(Q<QRGN1KKQd-&Nk>RtC?0WTritFTrdmryAzt&n*+
z3^oZl5=R{WY>u;h27Ks0*W0zQxA5>?Vm-^pv=6t4^u~In*;K+ZFNbN`VYi25y$|67
zrcJ*)VG=*7)fRY#_cQq*{8lpAfmjbT@ZroFk-s|o>Z6GDLOr8cw#Q%^8?N;MST{fA
z@&wFXP#XOPX6fs?N|e9lEvjE5a1X7?p9OeMJw0|BmQnn=>mRHekT5a^yZ77N{Y!*9
zkmwTYlZu%r4GE(>oNGJk(F5N!9XHwwHy#?>B*GbtWE}Uy^&Z+|#PKWlPQF!w<0N{|
z636e<q?y-*ACCPTCywu=+F*m1*p`Dg!@P;(bKPG&V*q=46irSN+c)P<8^Sd^WqjVl
zGyyLckHK$tnNQEdbY8R;mhkM?h4g=L!Tdoxd)T{*l$u!2vZCyTi4#03Mla2P^)9vc
zF<N`T^v*)r^e`J;!I86YKfCyI9ymMs%W;1=_qnRvZa96k@x?{>;fKa{VYs@2@@)w0
z+R`I01ixpUGz)_T-W=(afD_e3ZLY&jlje%z@MbI7a5OCR@pYFReDiSjVmf?c-^hJw
z_-;|SQzpFSXQ8YN7x45y9)~B)s|tzzWfTueO~Sr05~>RD{G^S}5?o#NhFunp)^%_A
z3VZG~d7uIZ|9aTI4hO&C<s|kO5!$Np3$D{hDba%4BIpga;oH0IcWJ^8)m2r==uuv-
z9MUp{ZyChu(ZOo{^yNq4>p?}&=wYw+P;E=NYV>y(E9|PPRdE~^kmS)}huNenb?o4{
z5g#L7_~o0k4{hKeqx5z@_!s7Vae;;Pmj^^(@AzAfoMF`|!&Y%Pd(!WXAAEJXuul%Q
z5ZSBm3)hg0>nXriX(?~7zzW9>n5x0;JG2iG>+w?Smg;B{+lO<XBi8E`%w#q`1S@;C
zjz_~U+)X<U!}RC&c_+b~%(a82uvx_5L;`%C<gdXoI4(f-d^-I8r;CL(99;iqG8NX3
z+|aj$E0s&hi{TRy?q)9V(<R*tg|It+UC$Z#v41JWL-@{FiQ#jw;|WdQayURT?C5#8
z_GJO(6L_%eht*|xYf{0l8ul+f`YM13H_D`X25+;geu#$i?-bA0!z(Yd9b#btLxziO
z@H^T#|4cZop4O}x7R>$mH47fdJv-k8t6#Tez&CYEjA5tbbJ*zNa8wNu{#c~B557fz
zpzsB3s$fk`#P{ud#y<!r3D#x~!v3iOS|8z|OKo$#u*gDX-6FiX$a`rB_7-J*OR~eJ
z<u@x?(*V3dU3rWQ-k`NP_6FYiobAd2tBOuZ4#R&74$iQ`4^JvKPr`;4a_hpdX-a+u
zvHo();*9rRScT+|)Es=w+B$F_oUJOEIRgvHx1W`T(+Y-KR^hh~bT6yG<rdrfR^a`W
z0SoGItjVvBv{(;1W|3rB500wiIYC3L7cKhE)EHLkez;!&j!XzRbsP=~eQ{3?*4<(^
zv4S(#JbQHEC0~ovZm_jv+I?dEYOV&!DR)@-*SwMeT-=+bUJ3u5drPkh>u;n!se&oy
z`ErTv-zm2DwZZ+(UjvBky)?S@+u_fD<aQ9-8{QT0S%80B$!gYt>(>-NzlRO3PMRNq
z6L0>Y-GV<I(ag|?eJ-&@Zo`L%gQZO1kGp@=i8A2)jQNcZ!8>Wh6vW}`MeBD&IE93V
zogwV#yq-iHkJ`E7%@O!!kJR2{@ZK1kU(WCa#x+l4IOBNv1sC|lhS=6|n6$qy${$V*
z(tSh3kMk8Fy#!0&z36!g7CBr?9}1_1{vACDdoXiGg~4BM@AGtm85K$rufvyfD@Gk)
z7JerB7&!jHI}dlbIU%1t2|h4wGwKRQ-(gHlhRG-5JkG<)c7>Ul@SrOB=s9>$A}S#V
z&TMzw423@|3uhL<XVPA~hrq2B8Ei#__mFH}gNIrV@IQnNgwDA~!Z+?$XFP(}@-qI$
z!(xAbRkXk?Z_W(Iz{+(&;%!9yq(rx5xMq`2u@?^OULHz>A5Rul^uebta=8)frEjLL
zKA#}A=k3)>h3(A$)0~1mD89eG1DgyDSbT+(yAw-^_13vPJqEtPCqF;Y%!h@aGmrg*
z89cU2?!iBTA6aa`ULkulOW{G`Q}!f`_}?PxUh)7IH7KwkhX>w0eAxi&uOGLkhmUN2
zRj-G~97x7?z^QkcU$(;Sr>f@JV8%s5^%nTzqO&~*ycp^=*bR%xaeDB<=Bv4CUGVm7
z|2#kZ^h(RXAbdICzi*=Ou3amt18|_RriVC8b&F|W6t0r}<tGOpvsG0cfj^4Yev^lL
zdQZNXf+wwgf2+d(o`oKmgbn?b{ng=LeA)dA@H?8y7-QH*b3A_*rrHjrFoBcD)|H9%
z?C&^fFj>Mal#Ka{@QxtnSS#2&MND}WHj#XF%K^UfS?&HZoXzxKtTUW&+q;J(5baf+
zhPORoNr&M5+Xye|O}pd=cQDfw%Ol*w!|!Skoae>BCI>5d+iwQLI<JI^4#3%`)Tyt*
z^OnM_D)8qBsfZ}}TZM8VGDDjx{!3aaJn>y3R0H-+TwqCue?)5RJOuNXckteY)ep*s
z=)v40&(rhZnl2sYqp+P;(ftQ-(<7N+BX~Ksgs&7%7u9Au4x3!C(s~X{?N~N9g()@-
z+FRj}rkQ49{|f6<3uCZ#_gQjX*t)gD<1L(N;^;%1zsw8W*cJF^NY7(MI7Pyh@;iKX
zVCWEWzJji5%zxl#sp(Z}u=vN*aev|9u{?d^d|7?eQpuTYT0;AsDvAA9<#tokz|~%X
zp0+UA#|JFTaPTgL(Nl1D0tYQCoZqOm=>>02{$t$@XH5KX^MqUJR1<jML+cxVd||@^
z;mkeotY)$61$gSG3%dy1eWdJnAY3zTCLj%yHd~$vfccK6Wy!z-7)2Kj>&9FwREB@q
zY@ZH;uM52rJOCRTlm5C6|HyBZ(t+#Q?>R@oT+S@Ty70k`d+RshUOCFgM_|1rO{W|1
z7>kXxG5oJZbL}?lID1gf7Ct=d-j@uo-?`Up2j?!k+GoLC?7m+@;3Gexb`bHI1ZQ2t
zV7A_?xjAsZ#K?u~uu|_9T{g^q%J6G6%#*T_lMk;v(%MLbpFi`Vy$|bB)cYmF9RVKM
zrLanIWoRb6^kR~_1P&y7bTJ1Wc-^<}DSYDVL(kjr#5e1<Mp$H3YAOR(7SIkFh4T&x
zyiS5;4f~ni!pw_z^itv4{L1cCn6&uXftzsZxSHJ$IMg*#mWb~-E&d<H6+F*53)G1H
z=_}v)Mh4UUd?cR@Kk$!XV}rfR-)Q8+C$u)gSm3xzr|S#gfPy8K-7t4he0w>3J<~Fj
z3yyc^)y9mUEl<B2?i7L#HW(Py!lEn>g9Tuw{^`y-*xfddNgV#<x#M*UtWZcABnt1!
zD>~W+ht7RxkcC-pygAtm=UJKrO2fq;FAw*@zauqwD8tVLO5P2@KEk&z?}snP{u~{J
z#~A%`4#A#1(sR@BcfNKSeK_;&xZMm)F<F^)6wY&D_gIA8IJT&aVe|CPg->u$$LEaW
z#P%1+S5{$h33*BjIQzzhk8AK62d$(FoOrhS`z9>?^+>8S%zNU3_ZGY;v0vN^Hq!YM
z$;fQeGR;`J?FQ>nw~#Qyeb-WwePF7Z!F{rDI-`-6Cp<;}w^ACezH+9_34Z@b`I!<d
z`67nX5gu-E)Y%U=W#>m)!D?#h#u_krT*vYW_{c`nOEs9TX~vdF-{wJ~k4EtR8cu~H
zu*(M7>7#Hu^WP40SYW@B_X+rG5tH08Sb~w~vn4FOzWUr6u1Pz#ZVxv;A(c4^yWLj5
z;0TYb&$SZg^UTXX*d5NC{VL@E3*L0u@POl42AYZVI=H`KyaI;{j@~BnOUeCZY!K`d
zS1oo9{!Xr+7YFxOmuz{!db5XkZ@`bNt|$4z!yOS~w_)b!piLsbzI4Upr@~KptP%oY
zsoz}>@4(uZ5B<3e?-Ur8ybD+V6Sxr$Z{@Hl7sCz_^c$gY&8NMOAHXSp7Gkf%M%C_3
zm9XQ3-t}wn<eo6q$FLRa{pg!8hkCpIQ&@NDzaQ~1@6e`36KrB4&vgfGSUzmn345k9
zL}tU?EMo`y;f#ROgH5nop`89OyxFR(`V96}vTGfIYfI^0bim~tb^TMY82^NFJKWm0
zXz&hB{ZroC52tVFAO8r`r3dWqgBxE5y<CJv&m8F<f<=udCRX4)DQ1P&u(J`z$?x#l
zFEbtEFtgWNZ?c_u{#M#&y@9n2c)pOs!^QigXW%Q}LVwc3hl<{(Ps0N%UA_#kYvN<c
zkMIwV#28*!zMY+P0X8}^N68PbzMoB5f+cwkc8bDBcE@jhhHHg#Z-~M9(pE`7U`Ac)
z3|S)njm^KSFgZnQk^&s4n<z*gg!Wl6nH)8^ghe)<6yE(liAw_>d%VF%2TNO$?bRo?
zFHeb~fmfA1^A5pP+BQ5pVej?HG84GcWi^TkX7i~lI0i3shL#Dy<MMKq)^J-HBPT!H
z+n2x32G)Er^gtB;InICJH2gKrflUM!YiE&ng)>imJfI9`y-m^ZhIhoC%ij-oyiZZO
z0Fxwr?>PiVY;)@d!jf`+iu!QBte9Fb?CP^_Z3z#X)*On24_@_YKMtQR7}UBBH*PF{
zIs@1DI2$Fvnpe&ocY&)9#_A=*U&ZGFFT&R6gv~NxW{fxRgBR&f8s@+&<o&eQ;Az!g
z#|z+mS0(@d;5THGy$|5rRClQySY#z~v=Xj+)SsFKKd&4etcH2*wHwRev-#I18sX~2
zJ0hhpU);iQGpsbgWZVb~|Cce-1t08jf6@Tgyf(4xft$$$44=bfoKzmKU>{Nc$E~nm
ze9QaS@NsjAL%lF1@0HbY_`%)4N8PYZ-2v}O_<N)D!B?<2<)dp$@S}ug&H*?yEP(7A
z%)8)QG76K$t#EC@&jwdRhhWEr*3@m-!1n&mN%&HQS_Kme+SeSJKfHx!Kd?*ggq`-b
z1kA$OPQyxEa9-Q;+&kDO?v^YM%r<6BvkE)YTdVJZGd^7MU4|ctFg+H7KTd>5&<3Nu
z*k!6o7Ph{dcZ(V}t<R}af(=Mb-igC|&IdMW!dlNg4aMO186I^ya7Fkt?*lN!38QvH
zxU*{btuico*igp^rh6Ogr42_dGFjWeA1~x+X~0qq9HX`{+u*_1`tYH>t-t-@$_fi+
z9XKmt_|hfVJoeW;Ls;>3*3Bq5lY8mXA()w`jy@XRA$^n96n<u&!<h*GO1$cK6ux|S
zc4rFQrT0AD9zHzT&zl8Ta8{Dp!Ll=Jnb|O1o!RX(@QT}9VLohFePH`E%#)X!RRX{J
zU1=Bv``yhfs)7Z6q&$v<vtDk-wZawD_s)&OnYp{ud*FZh0dL;ImOXMIZ($`q`y}ZQ
zls6Cmm>F2mLHw^2{EB3dY7X{kdv;?#e0zzN^)nnO75Pg6HYoK=`~pvebH=K}<ns;L
zKj014u^*~%Q#U{NI_zof6?G7fcdnGDWX1PZ^^CPPJS4{dhzhoqyRc*chsRaeT!y(G
z4OYp+oOwH@FTxGhh5`~W{o?_~R5(qKr&AdIW5%C!3-%97SJ(}+3cY*L2;0bC*JXtb
z6Zp)Y!kTqdkLX|-_2%?1u=>idC@K8B`4jhNm?r4t?G5C|Sg!VIZZ>!|b;mNSs%rUu
z7yLDx@5%>w<&le^4ov3MaD5ss-tBQ;3qGr^zdizc?ALkc1`92OkPX0nK8jARusHn=
zpAL9HlH^(_%r&-E(gMqse4+}0Mc&@rRR<>*zhb!tSFc7~eFAe%*4_FKW<SBYTn;<)
zgp{SgnfWU%CGaj|d+B6idyxp~doa~aRn<&b*w!oUF1+H))tC<d)A>h{4maIc>ADM}
z1I@Wq_`T>0!(4dD{^G<9IBj?Ci6S^;z)CNku-FOfeE7{sFn<tiqRw}w3>M0^jShtO
zJ^b~d1U_cHyzT?P$$I*|3ifI2vp)~hv?u#l!e6KC`(5GUm}BAf@Zyy6exf|fx`~k0
z!H-V&-Lr*zDQ6g3;AoOOdK<VZy(*yz&i$+yXby+pmFWEdvwjk}b_7m*;AyZ3JK801
zTEGoQ`y4jlH@uXei29bL#5VmKzSr#)bQ0c^a%r8G-KJ$<-k|Xbc-p4hj~;f9P<%(!
zx8M_#slxDpmN=I+9O@jlO9+mP?~F2o)deK>NWf-4&n%n3GjqKKVz5IIxgAm8uLt^6
z%EIy$xgC1&$SR|P44nB~LqQ#OcY3I)3}18`%~FNWBp9{qhY!s9)5^n(Z$9*Cz&t{9
zzOr!k)9|C}usX?uccL)c6o<7QEIqAiAOc5Tsu<UW3kAk&c;Pi4tq(`wiY#|N9$2hp
z*v$|Q(WQxJg;P@;{f@yor&88-!awPwFPXr4yN3oz;FsHU5teX7tc}Vx?!R|hWUpDk
zq3&6%-{7CaC5blhjI?0z60AKvka7~1mT<C~fW=s~a~<KQhZma1;D0X8_w3-4j(f6*
z=S_42mg#~SNAk(L;Gf68JaUFt=-yA)z>0lG8a?5OQRl<e@Xc#u8XmBoBzX<-Jlq^s
zFuVXe-3s9?fywun7<<E_kD4~pVT=y8x&&YKQF2Oye~L+t`NLz%Zw79{e!iC%g5k5b
zjg)V|($7d-gWz4QOZk!Tmv@IR{0A>SwPPTj-_<h%-><^+M%!1ez-FGuXp>=0hf$-;
z@QnNG*hDykA+X*XZXIMuO^2mK-U*(A&qu~{ronGiA`*!AiQM)!p<MXMw}oHMu)mB}
zehyrICi=`Nm~1V#p&T|})>X2CyKFhs%iz+;kM~Vr?q43}jc_zmioX%OU^hP00P8<j
znbU>Ej&4o2!Bw0wM|5Ci&$EuLaI1_=oeDfEALrErCkO@$5bslD1}@&6a9n%$-@Wj-
z+?Buqc!Yt~We=Q0{U?&x-zd4}t9N)`JleLB&<j(N#vUNvPgm34BzM8fZ(p;$fVKQP
zat7h7eLNw=`*EeQGC#4u_17(*+u#f`0f|wVyMxN26%I*CC>@3y2TEJ&U~)mfCzG(P
z{Wq~%*uiy1c>>n$Pf4wSb$YXoet}nL8Qn@@IY#oqPq1QY_3%A7*r0OZH~eCRzaST8
zi(_%!fW5=JSkmC4-gzGq4wR3FzpmVdN1p3`-$J-&Q|==1Ju!KGjG77IB5Lb(G4RVU
z`4|THg8LnjtFQ)l;~ieu{NuvU5SU>nlK>A)s*vDv5w0N_kk|tcke2uR!KxK}WkPU!
zrIjl2{h5CG?Gp)Dj?ecV@qINmA)+D<Uy$czCcZCMLnn0Q;H&D20mS#)T83!549rmT
z?!6_<z4zLf7EHNF_JsKU?d@WjREKx9*d*z~VjHy|^kB*R?!UF+Oyz%W2jOG`b~hEc
zO()0K2)69u8&raKs?7W_geiym)QRtTYM!92V{rKDt9&W==fXb{Q)2teQsKn^1^zDy
z^j7efuQH3o|Ao$HgYhR|BhRT5JK??@+cZ1)Oz6}zCODdZEaMbB^hqUS3;#PN1nu&j
z;gJ(cr2pWJml=DV;03(}?=@Jle3z^TTxK#o`W?1lwWxH1N$<t$eTIX3`k$VMQw;wr
zTZHpIP-u9=lBDw7Gw{<(frl@_HxKQNn1;U{dD!g_dpZv<kHG(``G$hwyZY@`!?2#V
z`SBpQt;4UQ5ALwu>k$V>mKxmdhMz2$e~y9Kj{GKTfvHAzZD+vW<eOg;|9`3-w8PWk
zwPhdeYB;COd};<hlvVhl0M0i&W&aK~xM_c!_&?<qtQPVMw*4Ivmkz5LAJ|%lr8|^=
zC%|t<T3Dz!F+S(V&F*-3s-P}~0zNWrs1ymWQ7RO(!NttUlviQR(LLg<Z~>QzAMw9#
z?rP^@NjRc~x5N)N&#LGahfm*|;3WPJ?o(I!r~?OFi8gVCKi=VR*M{}>8#LO%1B%g6
zC*gk0*WXXV8#A`lR&dJe6h|}oF=^&*H#pSmx(x9@^;(5{_8EAE_ec)$|1!QH{n163
z;;Hmm9hlp~NzNY@jsHHT0(%KW>PNyC_H`HUhr0(3bw<GW%fPV@ra5W;G8PsL{T?C-
z8#S>Ui-C{6uKgke=LmAyB*Euiaajn$y;^T365#JK?^<@jc$<Bn23w12igCinEN;1`
z!m4@{sf_R|&qSX)@YgVhe>>pSbqe1s_^8y<+rRi<oh!Q$bRVv2(bN6|7rlS9nFq_8
z(N_@vzk~nWp(=rwBOKXR;OK)4G(~VS+qaczB7V^KoeyD}yV@s-|MAsK#mVKc=soJr
zVVFuNI=cq`(`UJF2p0EN<E@5$<oU9CVdJ;UvhDC>VWkJrK2X0mr?L&Emb&t$33hkY
z>v#<t6l@hdh4<Hd(SHR?8+NlkhD`(NO~+te4$7cP*l>n@a2#H#Rb?RBFPN@Z&wYlE
z#}rOHfz$f9oR?r;$MJK`u<FClUTg3<7uu0$a5C44FYE9_33azlctuZa{U4lm(siI6
z<{e4%--gW@(;Z*HiU#LGsdu6M=*+XOK3HRG_8$#QM*q#4NIy+|J@rm_XFOx;YxwWG
z3Mw{O-{IW*d000io|y-BHH|i&gH`Al5_t)SJeeliC+;;Dm+yzqU0P!O03Vj%l~#lo
zF1K7I@_R#MU0EIG-RNDMfXR-y)v3aN>~bxM{5FlI?>_=ZhCSHx5~f2Vu_0_u5tdBk
z_k(W-Eswz^1);w?;K{!7QB!#4=5aS7KaxKB&sf0&17-t6{vQmPbhLy$ctq8S{AcmI
z<7p3n|HFU(|M}la{>2vlQTCIWXixgQ8nks5J{C7MT>#VQPK0{FI<_^&Ik3OMq2wT#
zP5TCSCLEuc%W?(&E#n%U1h-xKw>K8H<dU(x3BT_(D~yH}#c11!_P3efy!v!ln)7*5
z1S~xC?LZn#t$$}bkO)5|f3yg$K4AFb5^VK2@I?U}9ko}@8*a>Ce^U;ZC#~n5h5wYC
zvMPhW>b_=jffKw|9joD?r8}3L;q3j2vsG{iS@422Jn{F$S{uB5nXbwbKHQz`-wKzP
zE%FoXqw6ntLwjJ8fRZSp{Zq%{<W?8#zB6X+AS|IUP5lxc2|8?}3)^4dh#r9L14Vic
zz}F<xl1Aa2h*=pGxLD}L&Jp<LLQ9SeEI8S==RLf#OUg?M9v}IhKMyZu>=+Y<Wk=j9
zzQCLvjaowR;`Q6opW!PdIpth%v=gPucletB5w=~h!3){C71*jtGJ*+Kx|-Fx0qcv7
zEHc0ph3z`O;Hx7~EGglGiV{ZKu*H<^GjiC&A<$?OK3^t~@g42u4Le7VQ*hz_%Fw<|
zw4ZbB+8ic>A4nITTZFswEvD(<U($z$Kfp#Vm+fg`wQ4clY1po>$89GZY|&9nwCB_5
zefh`)@6#yeAlmyQuc@qZ!j3^YA+KSlTB{2jaA41#FFo+#q1-Ec@PopJW8Ltnrp7-!
zu$1+kW}-hsj+zd`K6rY6b9^J*D}M5ZB<xF_|K~Bx8#0)y2EYGY)Ab0x<UPZ$3dc@l
z?I-$Yc#=QVI|bj>NgB+9C*rEwPr^-|ff^a`$g5t8B)EK^3EfS&_~2}0GMse7F`MY`
zkyP&UpbAdjpSM2|-f~S7uZG2rKk6d-hqzK~>-EEK;eLNo;B%((9WP+(UE%TBaHC-Q
z%zIddho?CWcHVm9_z`yBCvxmA9Cz*VO(t%9AGr>j68md#=wsXop9>nFCBnyJtkn;|
z@9p?zi0}xf)<#wM*F^zeB0X1=nBSVibWhmxiQ{$ri9C56W<1QUQ~)=SHh8+g6ucXx
z_u!|8l)s#T$7a`4O5nQR=l)%U$A>x{ir^sbwUEp3#s0QcqW_9rpj6^@ICA{zvoiS8
z#iz_M@LQ^2(;8S)VT>yY&U<jYhPWP2PMph3h6~$|9wx3A^HOQqJ-9(<m4)cP;`rHM
zUp{;$aWTIYwteoQR0fxLKBjAd3qI1<mc!dc53-5!;729XQUf=ao+l&vr!<<4YS+S#
z-niT%`lndc{55QbKU0YOc>x#gE$(fBgZa7RM`8MxgG1f0*rm}`qCC2}UOnCmn}_xM
zHw7nImfF3B{kFqDO~9nA&eKD%(l6hj1-O8*eq|o+mmWSe3-c5OTzC(2oN9mj306OO
zp_qL)`n%I!RVDhTxCLj4vcWraZWj~%Ujk(tWqIHLMo~uMd>EM)9&*E`C2GOM`EF-#
z*9pN^oV~L|e;jKq<63@rtM$jT2AD;`r$+`RQKF8ig;{ly45Z;t+dRK2V48!Krw_rV
zNjaj#^*m*nwQv}wPrX)O1$T`Wel>-!3~%yP!ph94-k92`rKoHE5pg{jM(<y?hQnnn
zIqKlN{plO0;N3gbi;3$orCm&V8n(LkfPtuwnVoqNF0h^N&0OMoaBb7~<->i4oO+4#
zb?I9(ybo)dMW_(RztsHO<taSdZ|Y9;f7&<kcD^3Q{O_aruvdM@)+<=rgO`dZ?=^d}
zLSDiQ;=2AseevrEOPGP}Kit*41v4p`GQNWkc6OG<!EYyzxXJL~`R7oX8w9WacXv@1
zrj&`4i-gr?|FBuZG_P$Wg5iXU<P<CTYH57BAFMIYQgI$8wb$?RhL=h5q`YA&)`0!4
zuwB-W=}q{Y&s?_yEPDL-Ks@Z*$f;}vhbK+F%ZAOGYDkX5r_4^;XTix5OWsCsfWz?l
zQuu&Ukct6(X^-Kz2XJ#+RiPGaeU$W9CCoqJPfzr}n|tAR@ev%{UlzC@HgkR()dG78
zi5!%Nc|Pe;HpBFa4wXcI!jj{w3|(-}1r81|m_5xVz60i3G>znk=N=X3jKE>hkB{=e
z6~A}z48!{T-=4C<D@EmdCgD91nF1{ExiY5v<8W)p$W2-}Qn9pj4qgZk{Xq@auF*-%
z!q&6(PTS~DS!|gn{|Ro7bm%1dTOQ$UDqn!7Uhdqv0JnWR{A39ZjjOph2XnsPkRbN=
zcibef5dL_~P2n?~llfyRAHH5EC;Jg5-*9b6fgO*esVu`jthD^e@Yd>|Ctu<Fe|2xf
zz$<n(&Fipt?d<Ax_(E%=#v1HN!Q)8ux7Ah@bYSB}`_OBj?*TAbRERStTuAkkJr=g`
z9rxsio5RAcM8nyEH<tup(MjzcN$~Q6uWMp(ZD@y20_=U!X+sje)u?~#F5GyhlSC2b
ze$l>h2ma?A6|o;qs`xLq2-bi3HC6+TT>ST~08VVE+Mxvx)IJTbfO&$x?6rblBr;Vz
zfJZOv&OZTju37Np!4u|F)o0)&f8qBz@G~=N1s7O<!`<RGe388Ipg&yupEwVZKgl#R
zt-kPUQJ+{Me@2bP=ab>~#kSr5!KZe!ow)_uSq7HJ!GnL7QrltE#dWF(xI18ZS0{Wc
zqbQxopQ6V+svlsILuTTU@X?DhjUVBy%B_ZYIL7<<6g3~(k6WCLqTo^g%MP?~?+1pd
zoA8XNX@DTCb6=8{*dKXQ=pP}NN_#kyIA5J-jPwdbe74ulME?3nAHJao+s+595&fY<
zUcJrHgC~bw8gIc(yxanZVD%AN6Cyt@x|GXW!XESU?3wVZxL;LPa1{IXqI+<4z3x*7
z*jwcsJ&~WMsgpIFV5*Z$IYfR721uG*fW1auxDe&>_uc<q`oh&B-am=!Lsi2!8v)m~
za5t60jP+rsBjLh>^`_Nu;EMsTc=&8t^y4b{>o3J`H{c!~5&fs|<^7{uIq=xt+8uSU
zxSIaeTzH_%{0`B7yLk6v(nHwk>#H-*;5(ZRY?bi)7O!6&FiG0+eLe84pctW6cn8hc
z!(O<hU7)%Ljye+DG7h_b^$Y5R->1?ZoP=rIX&DCL_>7}2oA9Nmpsa5ArNoyH|KNuW
z4Eu=w+2ZpeG<^K1pQ>t4dtu}H;aGlHQLNW^2rja?kR<~b40N&*{mG>%#rWjl`(G^z
z-oh%AmqiZ15w?9aM1Ssc)d~+(;YN3>%y+QPz_m(U_z6kxzbTkOleShLZpeNouneCy
zb!t8ezsxg^{0cLE6w@_@Gv!9vf5P%={~fV{TOBk5*Wm2mrY}yy^^=`+|KRY%vJpr4
ztAd30U%2*S=t*ao^-kqBIqp~DI!7X6;klhoD@3^D@R{vsc)?=I{s&C0yn{Idme2Rz
zy8>6e7QB%L`%*8Ze1tXjoWGq58y=MT^&U<zNK43u?L#DnhvD3&iL`w99EX=OkzdA#
zzp>qiHNGwu5c!#!x{tRM4i*)mC9YTVq(<fgIQ(?}W#anlQwH3tgqJm^$D811p|`Uu
zh;WIC+H&}7UuXUkSot)|?lQPOf9}p>*w>3`gDCF>9P~v`VLwtm8)7^`c_8PW2KZQW
zTTddfeY>hu8=Ua-hZIr2OashBn&JNUtF)o8>!PQ07wmXN;9M}=rQ%=O0Y59vo$!OT
zBVr!EfN#zAYWl)H%o*jqa8GT|ZYOv$w4mlSOlI^w)B&z;ER}x+zgfQU)e^o*@mO^X
zcG#0<b^_i_Qd|25c9iC9CdN~E2-Y{hgViYx2pPeZ;|=Q5u$NzbqAnaTQmgj?&ief3
zhc+BxT-&+;|86?ztOCD_D0sC7n~%hb?T4+&b4`B0>%BYDq+lnSaC>qAwAXx-u@i^w
zll>-0;Tx2X`vhPH*TY|S!r4k)NxX30Z$)=zc-Y&BgdOf{oeUF$)Ak${XNJ2=S~f*s
zUDcs9V!Vr}xfz=l?50@NLIzhRN+fB(F`}w6e=z<<lls-&qi_+&&h?*gk!b<1F)SvT
zdHNgt?3U&}TbN$VS^Nvk`Ef_dDR|LtDQym>FBz(IhHtO*{+WSqG~`M<!KHC0Jl?`A
zR!&MDMEqvieq#Ji>t4ynZm?v_Q`G@@GV5c*d3gJFN=`rAEcQ^@8xH)-w}Tij=NI6r
zbqSvL{ozfFH%fdi+2{`^X@pJH!*feh&x7IHmS)<-cs%W&ceR6Hzo^LyV!WQx@1q9)
z!Q46}J1gLc7RHXNu+*qhI58gTV$PHP7$Uwr>HK}zL-?X$G~6I{^H>&KF~)f;5iXNB
zQJn$*<Q;x-6Bdk}6C%cceJZ~&k_y+07hWUA%iVY+X?`0%{Y_yl3YO<?x6Xk}WY#RN
z!739$qgn7Z>xd3wd|C=0)AW5fOkGQi7@tOZr~TADIKJ;isxLfr=AB0s?9rfZdmipt
zzWL!1{LZt#*A>?B=lE6!_g)I!cLuI%eC}BbUyNtWwuL*Xx&pi4V=vsCi1D89ti6AB
zz-|=32Z`~ZPkdb{N8tsFgSU^uF)t}2hGDO=5psQ)V)Rw+8cegTc2g7Pcyos52Yh4o
z<t8zI$G5%<I=cnYUZ@c8X&?NoaqSrw91+ZXaxc8yUEMDZo3Bvt3c(-S<qXB(XQ%GO
zaluu&3sx%d-Kqb~IN+{An_(q5&4aI*0j^ejIH3u@XpR#k##@*F5k9E_Z$1)9B!|yB
z`#R{u5)Tr;lftGS7bXtEx3?voeq%iMyqNU75!{lI{G1pMUUT-2!x7l^gtYuJEEGNG
zY7XB_O1kwGUWzrFH-pbt?IV8=D}^U~J_%<e-Z(>yPq(<_K7RtP)bG@N4gW~G^VtqQ
z5FuRf5;na?>t+l4aI~;?!(&%ey<K36b*@XDu!=c@n-koWXkkIjZ*!N^_TmL1{>nd2
zVtyM1gO=6vuxWKx)B{-7!J0iCZo5Y6OUy^G?`m06Dtzqjy%}P@f)!q==L4{`*Gj?-
z_;;_X)(iN|iPWt~c>C3*qf_v__UpE*Fn3&O&jj3O94HqED?cp9z;fbyH7VsX+#)(-
zJO_^(93VRnkM5na_zaU@GI2Qv57{xiT!haW|9tHNYh?YM+JJ>#v8Oq~KB>n>*I^k?
zH-9rYUPx=|AFLeeJ8A+mX1H5#!lxs5>mP#mZ<{$%2q8aIg^ToHz5M}`WUzE$Kf5}7
z<)Y0z9X!7E^0F$-?-lMq3&#y!`5*_oUbA=I2`Bdk8OXwA&IR_2u<E<Pz5MW}`&Z6z
zz`G6%T<3+8;<9JiV7icipKS2A!n2D!uu-7jNmf|PB;I8=94f@uMa*y2a?r|47#412
z7pH||BU4Tbz`apkR2!I2OeF7wrx<J&>FE9wE>QLTAOd&XrGG=rf95ME^HmzI)BdMI
z%zsuHYv{2L_G~LInun`xNPYIhgA{4Bb8wwM*OCI<^hGyd3|`~!|E>n7zuY(e2Da7v
z{aFPr*%?*a3D0ueU)6>KPIz;5z{Wy#=d|FQhuqPPFxQ~1|6%y^?d?wuutVng6@A#?
zMA^wI__83=ucI)>^o@o`a84P&pD|oPrY2qtQ!+LL9*4=Kx#9|8HtX(nb9l72^LGwB
zc*}0{6kL8S&n6r0%k>Dbh8z7&dsE=)n%|*Lu+V!EsbqK{ocyl??0H}$GX|de#!2G?
zyXptpN5LDNyCc0}kEdcULg1f#cVjQXlveA~!7x`Xrfq@s<O_2AV2THKSg*l7w-lU+
z`R#m6G86uTJCYU#-QdeivDqnbGo?$43#`)?wksJ9+rvR-3;%Tp)9-~D6yBB-^YL*d
z-tXyyotFf(tl<y*OfQGvbG^^*TERsZRgRCq<L4>m9pUmk7N_^H%o(|LVt;c!0UnER
zUTq_%H=LSfb7=!+w-_1sgo{Z>L;u1xCv5)_^X&}{8ebz9#``t-to;>OWG;c065gRN
zyb=L_U#4MZfR%av$I*SqbM^gk0GF94gtD@Cl$|}x9@#P@E2O0eDYM8{M$^tn8Ocb=
ztn87M%tB<uH#_;gKEFSokN5k0#=Ym9dq4Ny&v|DV2g9_2#`h1vb2>jJ3EQvENHc>S
z))(*3A#6XFvnhO>uthB6i8xr@pI$@|j(d71m9TzaZSnbHAvkHKNhlfir_>!d1K)dh
z_zGdYzsbxI6D#=j_{exDJjiq0^%C5c-A#H6PGG8<@P-?6)2?2J&3#t>M8HXv9x0dM
zu*NHw!eRF`Df091{8m!v6Ift#Qi!nq%X9bbK7z+8U#1e)H{9r~p?U$I#6!wfFiDi?
zodTGn_uFS9Shth=VLe>MX0o6QADfC~tb^l5IBnJ8*?M;FZrFpumR$u_nz{9)6Fxt8
zG)4wyzfIP#3v+nh>J@>FXN{Hr!8zwl)p_9xx~P-nytp1zVw%Mb|Fl;7OaYH=2T2`;
zU1a8mIpA@67fXIvc3<&XE;yho=I1fk>+`Iu5FDu#s3QvVHkAGnhC8RSzDmPlb&Jaq
z@TtHU1;YA~{o^&)rC=%A*KLaMn<LwSiZESQs;B}S$d(nM0)O)TZln(<>CQxJ!AG*|
ziwWQVy-*#U4m?>gt!4^mB~vgN!}s^sWg5fJ89s8E!9QM;H#xy|SLg+8VKU!gK1Vo*
zZu5m59J_Dl4PpO8ywoalfl1cd4!gr4S0!ZKVBTvBd4%!AYZR({5uS^zq$I2-sVaZ9
z;S!wlXW*ePoNm_q*$=Lgc)EQJo^W|<=ns=b)<g%vw%N`$Q81;lf+3;5%f&j4--BoC
zEyoD`tFDHa=rt_N@VTB4k4$C=FNg2NPnd?mhuCFH7GOm(;tfCehQ5o;65R8TA(Aj2
z3|HB%sqo=^LO<Dn(ErHdE^Vp8jrTG}3F}*i&;%Kmz^#9!xX-~qzL5`<!q4tWmwCdg
z=YFkzh4U%jBoX2<oOc7h!P&8;yk2lYv-Lw#emo!f^%E(f|DL}>#Yql}n%6xb#AQQ6
z&)LIge1czF!`5O2Bet+2TLKSZJ<p)vjnzQdp)Na952hHVyA%K)r>LOQfPcwJge1W_
zOW(u@>xa^;sQpcViy4=n5&BQnu=d_exVBK=K?1&)Z4#0WTdq2G2*I($TK6mA$DM`?
zg#IiitaYFQ9^7=XWrItscsM&@4FR!$!?4vD^TT#nOhRYw0Q`Q6z3+$s`h$y7&OfZL
z>S=6X!vR12k4=UG@o#T_d!2wa)U?cq;i?x$|C5FPDDzJ3gI`fC{?mq4c>1yk`P)O{
z;kq!BVX+h~y!L4|-Wtv|Hu{emF2AUL*cN_}FBrxMCoWR(c)|8<<?09F)(dv|7hnhD
zm|hn6{wuXt*I=66HVI}p%KWjkFI?=M)xZT;kGQGbfpdr%L)c+C+t!bFVZCRw2L<4i
z%+mIFI4Yd=3LiYK#cGxaf1+L@CXC;IEu_{D;ayfXClQ!A<;wUYcra#hg)m;<WoXYA
z!gW97OT=Mc&DtwPa6~ATx;*^s=IyX1*x`Vk17UwPzaXLd2wSlo{jCHa9<FB_gX1I3
z_shXW$x_K9aOvyFKrvV=Vfgtf{PcQ48ezT}eWAhi2j&U=xR(buapn;C3$tX`yAi&x
zhemk%794wMv!4mx>b1!w7R2?K;os7P{hM~ZmSYcW_*x)`uz&T(<M}9IN_IBV{qR>V
zb0%_lMm=hB8~dBC><Ie-xZ^;e+7`UmBq)U%R<|iDCakyXU8DAd0gh|UpdqZs`+03Q
zjt;&zNV_-+cipXizzkCt{?#9W6?vIxnBZ7XshThFt+;juPB?s$jkOmZuMej<0>=$R
zZ`Q$M<`Vn);P=H>tguM5>bHgH2p;(4RKdpznBQ6|`Y62Y6vO`p9xjh26Na64njR3=
z55Bs6j7kDd;K=zySU-4%B|J<F{>?FZE(`9F<BpPrGpDQSGvL5$t%1_8osCFFJZw_q
z5TXQIhmjEx);o?LEZtUs%QloRM!?M*YI{z?O3e%%VesH!qQ5#El5VIJ2w&-8yR8d9
zImq?c9}bIqdqoRoS3o&<ShPgZ&j?PSaT#)hrDLO(4d8aWXW9<%=}7W*b9kuV^SK?Y
zDr|De4E`IHd&nH_`S<CXEu5Qo@tP@Ia_-=gHC$9*@Ix1_p$q%t1h0o(($Iku<XbN|
z!gHiAN>yRj`V&{r!vmh)bSm&BZG(#|oHI7HBnr2F;P>=~N%M0IMc{AK9zVR`vBwkd
zcwpH}pJ#pGpZlJ&al>ZTROhb31<qgZF~e%_oZSOpSKp*L!us;wp4k&OVCoZHX9(-p
zFFoIw4u)?ohF9)~C0S(7-iFB;8UzUIg>!ZHc*Mi%Wjs@R;ByxHe#F8-e;v&>vEF!Z
zm&t50Z1RJ;jIchr3d>!m2k^xtJ?<r#(P00D95^W{dF&VbBwukl3wC$yH~bFYerZS4
z27jJv7a**s&P5e?qXiyjq)Q>Jw|<n*HE9Jl9Ll-a0!xQnrCx@sT<1p#^$=p6zq3*b
z;r{xp&Q=X9!aH-H0{&x_c%D#yp}&{xAr1VW%kIZgc+--C{s6oyuYIBb)}G*GIz-5y
zFL^+ykFhSqnZN)q2yBz4!z<BJ$!zdIkmET*J%}G{Vt1M0m+pVm2=#zo=PAT+!M@y9
z>G$B87t*)bVJX31LH@9hqih&IJb6-ogisHpXHs&97cSnDtWT(Sp?_JNSQK_>_^-el
z{(Ob+j}Y8Zd?%7npGQ-eWm6o!*f%+21Cymw|2hVjj$Usj)aOaQy|E+%Yr1yw>cCU-
zzul$b?ri4!s<6>&{{<!ZTDSL#GW^xO!9gCjtS9Lfg|F#nIIF{(#ump#U{9%N3l%ua
z{?~q1SVzs#Mhn(5R`6nmKTDZ^IRyvNMGVuz$*g=s2C!;=j~osBtM`zJK5Wx@B%d5E
zygy-K2Fp{sQINs@r1jdyuw2{D)PJbAlC>CWa0V9iI(d>%ABZpaO0y+QP99%23mbVH
zZ*_n<^?K=k!d26(C+*>JU5;Qvy`b5!UTs&HPugK@1lDMNSLY0WepqPO2dk)Ywfewo
z>6}!A`aujSWGAn}-ooDgpWz=@OSA)EJI$;?LcN~K*rd7}aJlrdRxO-%O1?Q59$Dkg
zCDiNj<zrE~4YTTBW-N!NyKS`NVHu*9?h@FoS-LJ3*1o~4MyS`b@wTfe8CLUBefAu_
ze=Se>0enI){=hTX^I4Bp4orQnx8)JsdLjEm7Ch?0E1v{2WJ)#_!nIMVsR?j~G>LKn
zeEq)!3PL@f<!_8y)v)}<+J<o0F?_7H67JZhle`IgY&bQ3fXhvI5&~c*S7D`E_}HoI
zM1*=|24#6_AK}YtVfL3{wdo7hO>kS<K)XBaTWjCY2m3YtjC6r-P_Qe0fh$#&Hf`a>
z{5_|Bz?)$z<!4|zins43VNSjWyvFdGb^iJ}*l|2Q#0XYo8I_-fy{D&_HDP=C0*y^r
zHLkZv1LnJ8Q?m}sR0$tZfU`2*e%OUub6ErA;PIy(a{u5wnX7YRaIGST`T=45J~*kH
zD+*g1eX6F0sWvhh`QU&z7aQ2%1P;$`E;wrRpdu@5xZbGB49Aq5Rpo)rv$LKahL1nn
zQ^f^uOziBZfw{sG>crtE-o>A(VDmd7@?x+|7nK|dteNJmEDQI&8cW^-b2?E}$iNo9
z3gnxpKli8cR;?y%cz&>M6%NWeD0>S2XeKSb06YKDRy2Uw-TuY?f}f`jz1D++D{cNw
z!rnLJ-`T)BG~cVn;9$unX=~UaTuo>Ic4=6WbAlsUb|d;=4Gq82vv60A{TiVjUPRH8
zH|}tDJhNFVEd3wPaW}Z9+pnP>{(9o1<VD!nNsOxwcGCD%cmejLjE}E`YpHh1Zo;m1
zfAk3T_zXk?L;~Skg63~uz!W8MVqx&VUwfDf;ajOx`5`drk#l!5;r(NRC5bT8K#9gP
zxZvAUp#+#mgrO`M9%y(ioezI&UT95#e+h8Cd=4M_XRHtj=MS@2*TM`Nd(FaN%iLgz
z_izZ^#fAWQB3MOt5q>s%<<DhUFFU4w9-iPBId`7WzSW?E^eFn@KcPTpnBF{5lLX#4
zl>CcO&#;!5#exSu8OQ2q4p(RxcW}W0+EHEl@U!%9LvnDz)9{~K@Qn686Is|ue$7$^
zZW$^%qYb;XMIBUxDbo77HDTT8zrm95z>4RP1^iDgL{SVr@;S!X9A;r(Efj$JejPgF
z0^gbObmfIl3`umKgC~~8`dH!pQOjRE;iN@INfww|naaQe{$U%HNe90g4K(wIO=ExA
z9)M@_<J<h;X->yBGPpWTqw6-DV;U_)3TGTO*S-Zy=o6=Hqh6$j?kl4>xNpk9bOR3i
zuli#QA)mOZehIeZc4~b9C!C++ScGj7JvHvb4)eBgQ!v%>m%7>Tg~ddjNjTz7Nqr`K
z>j72O5bVNh&|Cn&5aT*D2$x?mRL+OrD?JSFghk%|P%D8sZ@rjoht0dbSG|ITR`^Vs
zV7qkEx?0#YUxm6J7H;2>eGeC^RtHqU@67HhHp6~z>IN&|>)N+oH^QIG6t!Q$MFpgl
zZSZiXYEBV+#%1$(E6gWZ!;k~ZW!{kNg~L{BE@#1`JYI#}aN~Q~iHER<!pzGd__BbE
zavDq%Ho!j!7g>}R#lw2n4TQ(xe3uvd;^4J#h0IZSWJ}OL0-iB>kuwd87IO@Q!Ow(J
zk4(Wfg^x7}^+0vHNw^kZVv6`If0+K_Lh3J=-+e#*6*yqo^zna$_8vPIFToBL3Jfc-
zws^pp8+^Cy@!>7_)sUN_D;zx*9Jc{Cl1~>B>XrH*9!(??!S4a{&b_v9&c3>RyND<M
zH1IQp?T#=Vpg_E7M6%BqE+5zkCxcu2OHb;+@=dyt`(c+W4>GjiW=)|z)UZQ010A8>
zs*+<J1si-@sk21^rrA!r#RB(Ygb?bxk_nE7aKrWq0x5+0u56KSwm9Jz{(0m=aKF+u
zQaN}dh4~0C?6Frp@B~cd{5YBwE|5JP?EuFypS2~_pB15@Cbfr6PffS(gL{`K568k+
zSbwe)!HN>j&*I=|KfAk>FiHBk@{h26pDyh`)W6l>98&rWH)U6+lOx_;rl2(eb4&`o
z*#lb%ynR0gTN>8zZ6cpOjO^1oy!m^t0-=5`u~UG`8f>Hbq~I6a6&Iua4;CvXrI>@)
zjjxMu!}sb%rw8Gg!dp@#qUi4_iRuIJ^1OP-Z^T7^`rNz(CuOjAZ@>okM~A#&Lto)n
zE3oYXSE@dozr9+r1#bjI{n3RjPVb}>K95>rVXqu~anFaWU06GUPD~a)*xQu&7d~Gh
zK_dWf72kS5iuWI(P4?u2Gj>D6_Q2h?6}k+t=RWB>lyD_0)ANHcZF%`W3fO)-@6bM&
z<&onaTKI$``PIGf`2KOf1MpyO%H%HUC3j2GN65e{TVloQu$SQT1G4a)zmHUjkbiJg
znAr-p?@BJ&L_9?7ZoCD|^Z6LpGHjY~I@KG#E>bT&4_6pv(_DZr@3qbO4)0DjG2Dd3
zO$zPC;mo)6(E)I~iDvr%EXgF8a1Va-HX{5BEJ$@}Zxp;X&b`_S|4rDS$%Ow<x>0_F
z9rNF&X2JD&pVB(v_;Ynn%HSvb<Hl`ppFs?NIed9ZWs>lECsrAcwZkN;>T87jfU}El
zI$$23XAy&N<do0*Y4}9B|HEFmqx+23PdLu3Pxu@B$KBk5=@`zxe=wQ!!0zM5W6W?#
zsrTepct$sp`73;!x!^__+#DtqKM0E*cbzSOtLUUte#7#71=~5WPF4T@CHNGFyXO;_
zg1VN0;yBKiZ%5uF)Z_Nzvb;wIbKC1I#K8|tzsE7c_f6KbqT#ZzYvc@YpLr#H7;N=P
ze7^{s*ptq83yyND4i$zss?I&Q4ok=j-Ia%R>wf87g>_a7|H;DR?XTW?z<Yv5h}7W6
z7ZwklhbxHfeN|wG@zRL1@RCV+fDydUiciT7F8J^GiUGXm_uLCJ_}E+XKj!e}NA|s@
z@FTts4>Opv`G>DAEb(d4%N8C!#n`J2TmE(aZVjI(7*<z>?QTDu@qo!D#Wxk<(yo2>
z=iy|}O?N4nx0K`TWw?Zgqfr7r*%s4(5xz=4BPk5;>nQws3udhmnB#~2NEwWS2=4xU
zh8^zYJz^RG7uHdgv%xHUp`XLxQN=!92Dl_Uvi&|BV?i`b3!kr>)kuQ>t+nXxg^M_6
zPCbGJIfrw|VRMR8HEHl?{#?d?s0ZIkD)k{B{!sF^bqglh8!eLu=Z@S_Sb>#tZ^{<K
zekw7^zv0VQdtbhU6T8ol|AfaE3rgR^BpqjJe!w3Fw*=q8XTt?V2=(ggS(`-K;qWY`
z$wAnGn<lFjK6ZP?xC?eXx0u}vzbyRvq66lTl40$Eqw$nsGc3INlYJ7t9TeVE4>wK<
zKNyD#r_I%?;ZCQ2$v<H(J>@5r@FN!G{WFAoW}5xQ@P{))wCivnYhV2f`0g?KJFBoT
z&2x!tIA`JO-5t2}MOaKGToQe7cN<P6x7<mCiFK2Ssl{+S@~0?EhK0yK`R#+rw!U)5
z!Uyju2eQDf@qvR;u$!~T3KP67Wvm?ndp2|Y;Uu(w%$9W<=JwF>;DD2!FCX-S1D|ht
z3c%47RTr+qj~Tfp`3M$_8@T}cbzYm2hI@k<l04vL>l7O)Sc2&nu@iiKK*3HCj&#hk
zI}3Y=+Vsl9Z1%U>En(yEtuN|uu92Le1>Br-SWgYUR7#s_03RGG(bs_`^*^rY!8DC+
z^;!foK6BE58+#lZjbJfLlXq(H>AU{&hOk?Nu&5k-^~yd)3po4I*E=WRq!rFmGk8CF
z+4?b9pt7*c7LHAIFcF1+5aZV%eEhy_JukeNb?WFj_`i+`HXc~N$}+<d{w(%3ng#BZ
z9?U!s579f$Fv0zdKbhR&@nLyOT6pNfIhISXlG{kh0XUZFa=bSj_@IJ|96qQ&lW-jt
z`fL$M3g4_-p|}P=u@j%)_Q3O+UFRro!s&ADnp^No+6%V=U`?sKH_Nd4_TcSM_-Umo
z-EUZge0(h!4rFEvo`FxdX>LTqQko^hQ}CWlJ@31)>i!tL5x7F5=wdu<G0C1g49op^
zH5Cg#q}gWdg(cnGem;fY|3}~22{-aN+dqLlHJ9Z-!c-L14mt2mbH4{o@U8gQeOa*0
z0SmHsa8{z(U>W?t^-OgYtSPT!SPFkXDJxt8PfPQdw7^W?(&b*j>_!JZeS!}?3(n7i
z8<*o-2H_-H2m5r`O6a=k08Fu|+K~ePNcyEd1JlORgx-f|XIm<#V4}w>EB9b?Hp#cE
z@N=`$=Xc@Jcxv%KFx}nc!?)q0FNspr;^@!CY5W1O(p#s3eek<ax00{Gfel?n-0(N2
zvpE-FS+*1&E_m8Oo6!Y+oJcOH22Z3Y1=+)*CACjfU=}&SMRWLAoqX;sxYpUMRvQ-h
zGr$@I*F8UZTov}KN)uXyD|)6`gka_Wj=x@l-yEJV5QlxX)+=ZvaQ?%taPTO6-R`M6
z9V|+%lqm@xNV3xuhpAp@QHsK+I2gJm;2d?$G--I^$XKr~Y)<2tD@Mo{$h6moIS$y#
z$iWMpL1%5@0OOalg#4j=-CuU_vTxoEWjHK{aq${#aV<E4kbm*-f}bz^h2+K|bvU)|
zO+XynurAD_1cyF&M4kXkFLIQff)CbT-<ts!=^b??<afC`CuPEU=h@eE;T?X_<Z75b
zHkMcuZqOFss(}~jZzUSSa@`9&U*NCDK0Vce_h0(+vJduRdvnYLW_%P`wgW4(hc6J~
z+BDh9yD;4!@0*19U#>h&ElK=;^>ALg2Hc$P_4X9pyW2>s0J}UoRbv2)ME^cd_<lXp
z6yo~ugRlF)61G=S&9Jx`tVSy%d7RMx%cEQqSh&eFiyu~he<IHb?)6GD=Yc8Lm)RU)
zGVRJH7DD@d)kn_56xDs~%<z@iqZF?2kstKC6tGM89ECS*Tzkxl9QI_(4D^B}4;X&h
zIgjx!Z+p`R?n-pw`U~GOp<B5Ei))7`{0AS_Z(i|-Rj#MaEyK*QqThVsmu5pP<1k;v
z(6?Lg=C3)PG1xRrr8y9;`5{c&0Z)CKYz~9<r{wI~V0~$=;$YZm<A%~(`1-qv;z(G|
zDI&QF{(U8p?=GC2lS^I#$Mp;F$HViLuN+>%8&>@fW8n`@U7fiwU8?J&WcVRRzhDl0
zapoZH19<NEdg^0%BujuU2X>xb*G+@{7&^kU;J<7vZ{y+41e1tDIO`B2LmYgyb8Rah
zeqDAVECMdQc<FB)oM?S8E*K`}p}PD5ZXJ=?^@B%`Z(QzzkM5-^xd!Ku#!Pp>l_g?a
z7vR-?ubEN!JMmi2d04Z3+hzp*)WfFX2vfRr*e<}`y1jqw;PpVu?q4vS+P1SfyfahX
z{U4mi+WpQH7HwD4T!GK~ZHnr_5fgtkiKTEo%j4mg7JTLB&9_AG%tC{a3j8sl@9kc=
zj4Uos3Et~!CPo3DUaDl0hBxMN#c1H+;@g)c;rr1%Is4%iqQVJbn0Mh)4kN7Kbx~dj
z=C=LC%mDXtKP=#c%~B;<*x=C<HY6Ny^_Rj}7WkK0#MMLa{rSaMZulMj$u<V~{F*Zf
z7p#|ZQIQ&6n9U>+f~R+d9_)i<>JIq{z{|7dWW=ynypi8=*y1m>JrOJ}T{kZZkLb&F
zth=K>j{ljLh7VFM@UOuRCeDshFyja2lm(b*DA7?7X6J8N`UQ6}5%tT%Pc_yZzQdvc
zLjCG+kZE@11l)aKPpt~PyJt7G3x1fvRjUQ(2jnkzz`m>ZBsJjz>H)`Qn9BLNq#-ON
z7F68`hlSJR>BFxCUI^E~)17>IW-!aDQD`+xTzikr6s9!|`mY3*nZmzM;BzhP`o-|y
z45EZHa8Im3&2yMMn>xXfkY7B<kP8PM^CmkBuYY9@e*#-v_9wdpo7(8eJcNze`)_!|
z882?+CcwN7{Wq?|%~aI8aqz^@@kJjvsX_7L9r(eT@M0ib*w*?n9A;GsaSDK!=l-6!
z374Pna|(sYpWclRfGG{z`-9;+?rNf|a18hR{z!QEmin2?a3wjN-d%XVr_X11Sh(V^
zZage>Ws}Pd7CUcH8w(FK98I)`@2^VMCc_&(MRT@r(6tcB2QaJXxV0H9*RCO%14p+H
zQW?WUm!h9%!Q3yX1GV8Z3U1E};p>k=zi7gYFN#<T;E?f(lge;ouqA6Xd~xUDsyrOX
zm>O3Juef))NWgs@ZgC&r`^k#$#o(mi9Fkf%*8R#cLHM`ZMUs!OuIg|EKU|Yi=-UL>
z`q8Z)fkUz+ef!{C*TLs3u+Q50U%hZb6AjZrc$`)6*DxV}_`)Sxm}VfMcMvAsKXQ84
z4bMA?YW0r8=VD~@ci_1P{#s*jrNbrWRrtv#VXYbXRMe--|G^P2V~_uUjWcCUCgG5S
zGRNm(<`c06<M4Du>fu><)%{;oC#=MF;_x!O>1O=B9Twt9-Ccmw%jz0x;Q1-h-Boys
z?I7D**xNT|W(7703Hh537hhzV*@DN-yUg<7zBs?mb(pG8RXPREuln1u3;#G69rFNA
zFca4J2XjX^?nJ|-*7@q>(s(|?huY#EteCs!C<#pU^`?wJOgZW+Oa+IDG{pK5@?$ff
zQWE0KfB#*ChcfA((!u?V%9h^n9v0V#1MpF&;uCi8Z-<WXL$KNBr8pbdmw#=O0X`xm
zL}UuHuT*dF!XYwGijClyZ{NIl;14weoLaE9lbqL4_@5K?jZ?5Z>zQ#OxX4IrRuOi&
zSv)2V8>joJDZpc-9j0Qi$A4ud5^$gfr>QLLyEs894u_{He3XHS@{afm!p|(eG-<*%
zBi_P%@aL{sxl^#+yTXTTu#S<KoB>?4-m$_0Go)%1>A{@J)aMSuf4?*q+Q7^!TJ$t9
znR*Y0HB9Lc5lRj>oYG|XfWIh~Ns_=E0|triux8gv)|M;wU&iZrKX_|^)@&WVWch~F
z7hXy*Zd`<`?MilY;S^rOFF)X^oThtu@XqXB=LNWPgdwUDrb(NkpMyXDCw{0J4hwsl
zwE~Ni+A!9`PqxFif5UH-Ze}#V%I!+`HetbAdFie2OK;Bag!fna)+y2s`|uB3A;RaK
z(Gog30(<1ea_=BMe&tNXC@d7AQA&pRfhTv~OcUC>GVLRUbAHvR|Ab?N+tR4vHq8aK
z->{|h<K=zu-YS8PWf-ex2h+p6r>xsI;qweELv%3JaN3z|I3&B(ov^)`Q#-6kWH8^7
zBz|CmON{BKNa4Ny>ZiG2<=3~qGr;M-b-PF4afSAahv0nrOL6?L#RTa^c6hNwaE2GI
zjJDk7fcHuDUl)b<pG(*hfFu4!b{vJJBxWOo;6i5^dnwpijxRzSwzixqC-kQ?A|VGQ
z;d?pprwIMc(fI?N0(`k%{)rqc5WxLZ5zbosA)*dj^kzKPhgB{f{iY1-S5gZZ!pA@N
zdJ_7#$Do0r1w6@nse#bHRVLoOwuIZA51Sgo+!A|UJHUl=FAMbHar^74j&LHaxx6_X
zKK@qaJe=@hCV?=X#KmRWJmAZ1(OkB$8CzqEKP>2(-DL&qD`;5;!p|RTopprkv*Rqn
z;4}ByDjeX~Gl##2!!4QKTJD7QnS~P%;Gy>(YtC?bnWA?J!Q1;HF2F~>b$dOBcU4!V
zJmA5%o|}2_ovftBD{z^s-ueglu3%3KA)mQ+IkX-Y_<h0pI{bQrF?bTTzVfw#FrV=I
zwC(=^$BtgnBFs024+SYiPT+otS&7wom_B;XeNnhRQ~l><SaM18P7!>Qf#i%O{KQ&v
zs}Nr6xcQl|{T60c{|v)5t2I3*VXE$Sx34h$R|O5i{P9_U)@22DiOtnI0q=_$9rz9R
zS_@Pjg9Y>HztGC!_`@wsPna*N#=mINz#mhJLOEa|rLmJ7aR1-K;)MC)$fJi9N8pIG
z#~FnFeXTmBTog_b-Y}$v$CV8PMd0Seo3#`$8<!HlB0OK%;zbxg2ixXT<>5yu#v|Jp
zZ{n9blXc<6+i_7FaHIMSN*$Q%{^9K<c%{sFuQ41aRANk+FDNaj1B~FrEV=qAIQ!aw
zp98#y*6HFT?5lj^mmQo?@@s4eUgJD5djWRPC5!2YQ)zo`ykKAY_?>n*fb)g54_tlw
zuvr`YVf<A46*#Lnv#|m0QkriGfoI!tFMohZ_--o&!w$TXlNIp#NoIuvSnh&g+-q3G
z^m$PntTkW0TL|xwkt}=$e|CKQA`jN_e0$_6d|~g=BkAxCtvu^XxUhh@<uQEWLQTvI
zc-}8j{yrhzCwi|2-qEs|iHGyf6zo*P14{FjcVW8l1KTZdms~DsI7}rLe&I8$Zz+2%
z5Y}b?<}n1T-~P^Z1J3@fKQaK@H(gJ>1YeF=86Ja|x0-)?!_7jDhNJLguJsvL_<dr!
z-Xg4H_M7Y+oMcD&ejXkd2)}L(pNmv@`xg!%rslDPTLPYnZo}_(GLj78iyjTaRC4%#
z1{sU09vm3P`GgXV5-cfJhuiz>Qn}#9LG3anSok6%6(_9xV}eH-9=!IHTo%60Y{@SM
z=SBbYlY#H<Ur82#6^6#HX~K7OL^XKft;4)OPr~LdpUYU`Ki|@(_2I(o2}%~2bYa*^
z4>l19@~4AsU%xfCf#3Yh;y(cU&#!+x19K#)rI5kj79E=%;S-ET3nZ}J#v|FYupj?|
z-L?y^_xBT>aEEW0t(R@W)g`j|u5d!z1Kwp=(JS@2H+(DivHudB#?--l0rm-3_%#iS
zzY=7+2Afi;s7=9SqP9_2VRqxul5cS3vy!_3@Jh%i#V~xJit&OUd@SV1>}UA3y_4r{
zc#@M<<rA#9l{gXv8-A^RRSWM6{5l)~|Klwudk?eE?llaD)lQjTFNc}5^z>uk6$Sma
zGWd{6j#v~-`#ZWQ6Bg<kJ(dWUn+B6)z$`ZVGUDOb87`kx*zJ?@vs74q{a{Nnyus^E
zmjcf&m&wP%Vcsb;&)}y;8S&BZ+sE&NpTN8{8hgUvyY)YB<-k9$i&}=j<VsS`negqR
zOR|??mSl6M0$3-+D)u7mK6&Fy9&BZ~_0JV<JDl8849g9Unz_JVq$^Lpf;kw1n{44|
ztxoj{m`%-z)dud%pcQxxdx|{&s{?OLv-8!!H=4suv|&{q<&<jp`!&G^6}ai7)`NPO
zu7-qJ86Gilrl^DUdvYVC;g6@?$v(rmjX`6Qu+_b1vrX_5=cW(b@Ryp0Gwp=-jSmlT
z!RE8C&$Pjv2FiDsV2$+x%P;VyGqfXz;ODFLpL^hKo!15jV4Cr=k6+=gJ)v3Du=DnK
z;Q(xF(HgexjOXW=Kj)9Z4go1&H(@`SQPxrT?3jYyGR!Pq$2<)`Ehf!af+;z_-1`B0
z2jtVuz*6fak@N8EhPT@k%u`vvJqL#iGYo!%zj;2|T!A&r`bCG~o7B}KOYod97flPy
z@+We59iFNicm4$T^`;oC!Aq_YeYG%ks*~P7_(XyF(f9C>j`zF2F!h_CkILcVImx%A
z@;JZA$yhFfQ@oW#NnjNwZKp!`;QWp-70mZ~ry?KzcJKhrUbu@|FD(^5-`GS=3zHuD
zx0no@y0rxzfcO2)c8G=JSAzl%!6_wX<<W4yN9ZC0eE#1yUl{zPPi&qIHanXa5CYG#
zN!qi*3-qVwZ@|gU!!|sy0{5nxAAIiMhzcj%{8yXD4L%(ks3Zvc`Yrjnz(aomUh%{3
z&r)V>;TVHMMaSUKkMb%uuw4W_hbXLM{{58+Jo+||O&YEj3MDg!NA%N)B;eS}FViY;
z{Tq>ga&Yk0WkqFp<AA^=SvYZ<rAQjCFn@VL72cVBO)LfL-p(CUhC7YzuO5Y`vIIvo
z;n(wjJ_*6Y>Fh?QV1u_$<+$K88ISZ0;1|RaaU6trb(okgEJPo1=>R;xv>|E&Q-3<t
zOby?ro_}^4UZ$**AtjjI=7|+-;%OL744?5;4mO9Kow6=0pTqsh_t`;qu$lO=h9%f+
z>;7*WIB<GUat0=1Ut2f_Z#bTfoPy84>FquXN2|Q?_yUg{5b1P>p9m^^=z;fmGOM}4
zWX98CEpTwUm-0n8Z`v*56I|?flG_U|D|qi#0U!Dv%i#mB6)C+dhmShkNVoz&)R`46
zg7b3U$NIxJHl0HY;eq$@SA5~ctQzNsum#SyZ^75<q^nb5+r=lQf$*2Gm`8Wu#b@28
z!(eh+(&cb?a3NhP7}lD%>G6SMzqE=+!hBPm0#{+LcWI0fu*O#bN+;NA=<UH+cvv;f
z{wyqIcXurc?lD|eF@il_X8e~3bMTyfU;t0tH`5{H_xGKfk%U99I%+1v(}P`#67UZ9
zG2tY5@SGq!7tC-%Lf{en;!EOH4!AUUXJ0Dp<Tqz_05)meph$-|EldiiVa}5JUytF7
z^ab~}o$&d@%713Vy$&=Jo3KmC&9)5qpOjnuPgvL0?Q=dXvGn=y44fHqtSA>|7~$IN
zgEcPD6ug94$wCajz<+rAVhZ70s;|czVCPdsQDtyM#)<Gc_<l+3-xAnx^!sWhobt+X
zvkIo*Qr4@0EAqHT-oQ!wQ$%v%tZ%=D-owK07lX6mla~wLy@kyiw9X~LqQjom4RHU&
z<H`j1SGkTzJv{wHM<@~w+94BafpyM53c3SN^uDM52-}*iI$VdNjjvF4!o@Ks%Y9%u
z1A~BexU6QG&kKH(x9!^puVg9(c);GiUuJvZC$hhOIl?i;H>Zc;)>cWivv915nblYL
z$ft=COW5oDhS?;nwpW0{0!|-oYaWMXJ^OqOV2xhShM%yh)!}wMxR_O0dInzMYF5&K
zSr-SymtfKw(j+ywg)%Q|0XCQ~BawrNs}<8%VMoa&s}peE!LOk!@E3AJd45=Z)8+OS
z{NLM%I9^yyMsj5X=5&xDVuQ=Ksuqb9aQ&yw)0_pSqzXT~i#TH|Ycm~eQ$%h@L5P1f
zV5NokC3JR>!8N-7?oq%hbo#CP;Z1VU2{PE|(?KO_n0|D`c*haPS4tuoHn{w;*xyZf
zcK*Y27C7wDq}MWB^d~)C7`BV%KfDO9lh_^<f~QJ{?o7d7iIOSQ2<>%v?u^5%543Km
zz%*wD*9YK?d&g{V!5-pE&syNWXB*pZ!iG!vwDoWT({6Sj{4QMJ%`3S4a)RUl{Ken-
zR3#kj*G<Qvi2JS4r7HRGqzZfJ5jfE)us9vw$%_aOg(Ipe&OCubpR~^(g)1sTTJFP}
zt%6euFuD4xs|j$`!g&jMSj9cy$6Z)9C&5G=CN`#)y8}x<>S|DhcSi>EgW&sO|J7>4
znm(@o0^u)P$Hlb>aW~0}J}{%Vfv6GOS@^Eu3T(~aNTUynkz3_B!WmtIRA%sK<=CbJ
zJSSkdcp83i)PL9z)}geXvx0dHc8?ptqnb%Jmhe(-Tlz`(1o=Zt2bdwwa8(^XokJ;a
z3*Voa?H7kf9#P0R!|8nIkBY(EU#~Ga!k)>b`#Io06rK#{VP}nC$0M-M)WDhxe6@{D
zgBpIU+qiN8KKnB{WgqOWw|UMBHk)?dOANn=9e417r(X@*62YFYwbU=ene2YbOK0(X
z?s0zQ8?d<LeBuIp#LViIFTD1#nq&&zdLdqT3zm6#)apANl<UYA1eb<yefkPVjz}{_
zz?sbMM~2|1h36u};6BR}v0d=c2Z``#I4~_^vI7n~XTKH&J1Ji_ZH8AZ1XmK_2GPOi
zjj&RO@wo)pK`xJ}2A+9#$RUl;zMtwsHQfD6sVfEU(Ec`30#`oTX?+I2Oj496h7D@C
zm7c<{z4m84hp+37$mYTpE*|SS@LLt4f^2wyj)MCW*#61+jMuRB=p5}sc;rLG!7`Xr
z^IdQP{P@QtWdr<QnVoPf>?*V6Uk88E5PuX7t8nUE>4r~C*K35pZt2$FI|=Qdro6rZ
zZ^vzw3Mk?I{hpY(!DcQ~Jp3>fpMQfr%)2E><O+9DG@LVrxh-wt++ate@s%_19*N0|
z&tT)ulgfs$Wb*OdbU5O&ZMy|LowNOQ9Nyt7_SAuuXcP3t2>H=Zzo`=P|GS{R1b4_$
zhbh79(L1FJaD3bLA1Qc5sy%-P?s;YXSRCg3XTkCpru5X?F9f@<R5Fq(V}1=@Ju3hk
zC8$Oa!@611-RyA7xhKK<;5N4yz9Vq{r+g<0_$~V-3ToK2cgKzfK5EKfvk%@oyjO)9
z=HXsf+;qVD0!Pf`8Q{?7)cAFn+v3=9ayUDGUt|GX^piyDA3jf)jFa>Wc!8_Gav9dD
zY^rgC<J>;Jn}sv^=+B>rElQkje}@BXt3<TmtS?RhzhJ9X@7t%~L2D<DNtjz?lJ6kw
z#i_?K2Qw+8-k^nlteSdF!TqO=+ScrG{%j=XM%Z2k2_&4Wux9Q(Z9@J|Nza}iaHFh)
z#tQ7^6lOjNlloD;{tZ)zcr_2fKC?qFH{g{h7M4Lc^Is^(IxPQ|_+BSWVPwFv3qSi*
zG};ae$*)Ec_QwN<WTPfH@_bb|8McQXt8!KYoGa|GMgns(3oyKeN#xj<sR-LIwAHN&
z=IW|*B<zo`Gp`4W;oI*5Y!AY9L>3~i{@?ycJ1zXNRpm)8Ots$qkqMSf8u^_KE6ZP&
zJq*t@esp{czntQf<RDnysr(_l_U~QR5m>udpFa`yiFAL;2M?})zY!1j`;pM_!c%J<
zb9Z33$vjFCn4-l=IRc)0uI4Wc*B&=~brVkfJ>eq(-z*s=4uqAW{iej=v70SduflR?
zi@vJDk6OoBF2U6z%6clW%7^xQZZKVC&nYeVWVGp+3*2Vy_~sORe@6AR9jw{(yVw9$
zb!y16fz_06a_Pg$yd?~#@WdSoHZwTMK+N43<{n6hHi6}@vkz&*^Sg)cSi=g24@I<K
zf4*nyR)qYKyHAv1A5o5#v+zmhJ<E!)nNW_C1ANN*x1$t%o0ikg4bG2qDVKo5#e|fd
z;X{iWDO_-c@grF;xGm|;90xpkjXmE3mj0V#a~L+ielP0^{QNZID@J(#Ol;Ui_*>GS
zcv3i>>%SmhLfp#n2Qe(^eRb&?d|lGme9I2!uXlT9Z^C5HtMfMC3Z1SNe|Wp&Vbl!#
z<q3aN2s~f9XLJfqB;m=u1)o}(sQm)}OSqJN2Y#lhN#6?}v;MVA$k$dq<XQ!<-4vOR
zf}c10RaL-jukw{5;Hy1a)K6hI_t6uv@VBTuhsSUvv3+DD{5tP?X$Tx-91)rTA5H2b
z3x>1J_Vz`?yY-n?Zt!_I-p>1Q<k)VZ3!Ijd#~BZw;%fV+2b*zLvZTV37X?goVPeU*
z+k|}0B2p<i_}S08)yJ@_m))HcaMiPh{xo>&gZz1Z*dV^HD+7M^JHCb&wj@$hONamU
z-V$YlUv$YS<iQV1dv3G90f#FJbK$tZb<1?{@xPCsy@6TC>{1WF4A&TF%VA|-14?rE
zH1`5Y6C7PR^okg6SqV&PhL1JOC{w{7Uwg!Kz^BOt5-H)poL#mqSpSbC*FiWXe(BI4
zEOE};hZc^{h|C>=!=?O5nBk`Kfb<Dir1O=<VVGiuMeIA=8(KZZ0h{pB2>*iRbbraR
z!#}Q-Rn5avlYc%EzQ5|X{IWl=@fS{3K3KreRAUWJGZHEgCA42wKS8d7<E!7*)55Th
z;A%4k{D9GaOakWOpRPU(4_zt^KMsp>XXrA+X2&ZSWZ`K4BxND^ea%R<6#PcPvO^ed
zd_1nB1aI~jf0BR)$QB+ez{#&!tfXM(&x=P-!pEx)>Ys$S#x}cE;WdXJ!>8cajhkn6
zVD<KiJ_GpXm5nkjIP!j_ixKQ4zpj27rablLj02qab^511e7F0->{*z!@w=}%O!V#k
z$R$`ax$cMw{9g3tg)1;|M$HRrc<@M&n?HQzMfR>0EE4az9srv?d>ZQr@6Y#M4u$Qy
zgC`u|9R<hWaM&T!|B^dwso`<$0lddt@(`i_K7QmvmI51T3FlmZsiHi0pTbl1yX&6t
z7O_`cI&7G_8sP(Tu=qsg!IxE<hpxcy%Wg0iz{~5^?g4P}f1&iHaC%F`+Z*tFQEXNj
zEamF2OBi2^#JMRAF!^cH-$8JBNR>bn+(x|?bO)Xi>tXGKF9>?`hQYko7YqAgCvy9;
zXt+a@{^270!2WU}Azyw?LHIXZ`^a8C9)4$O&$L&S@P7$CiF>fk<)l1Hm?=xTE(umY
zSC-5LFK}*G#=`V7fB1P|Bew5aDR9Jdc1k_ir8xKpAs#y4;->@m20by4fUACg_BsQv
zyp7!=e4keLOW!PE$+ALEe|VV6qu&9ZTW5do2R915F1LmMTAfKJ%pWdfIj@{yKAM&l
z!uD6s*XB3}ulmiLvxE1$N-=xFiKAw3Y~bu6zYRCIiZ?!$FrTn?+pJuKySKOIwBeET
zzmDFpz#x+?p+83Xezmy{zqP;pQW@svxY6nZ&t^R3kb(F088-#OM1#av2>oB}baeI&
z_-mJn84tXzYWp-8_V>%k<$^O9Hum3!1&)0<Oc>u;Kk6y&!p7n39)$6IuyTDm4CXy&
zt529;_B2$DN5i8>E1#0W-SsA?@4+Ny12lhaas8%<MmGsIYCG<<1&@X0Rwck%Hb%Y6
zaFC&WSsHvaG@I`?Y$F_*m<-3#|DYIysgKJ>KZOqz$ykrTf|709k72);7Oh`kwZqp}
zv*EP$oFl#Pq~4=18St>z^llv?-&3(8AATwzY4QP%(>`023p2jHD)kCx%-YC(35Sor
ziztHk2}T|&f>#|z*Rx?7CpOx0m{yTbHw%tQm0v1>O^RGa65;v%O+Tw(?(Kr0csQWe
z#HtehJ>R-?2X<u`H2wfzougKdfF-hji@k%dsT%QKgYQdS5N?8Bzlynj752IiMp+Mc
zv2|HF!RB%s#4T{o4pre<_$2Fr$!3@`#4yGP{=|J_xPy@Y<<6J^e6)aAuN|g8oqzfi
zY@6VIvJXx-8OzjwDck*cdf*#xxx*#k#ic&BuW<KqivcnC+m|2P{czc<v?>nxuB6=R
zC_MR~g^C?+tke8547Z3JSfqw^Y!lnR!#!b&s#Ngrs>4c?uv?^k2{Ei8WiK-aYa~RH
z?12l|Tp4HJ66%hrB^%ry?8!Q?1balRomhlx?D&HgV3i%F{3&?kKYQO*_$$Bi_IEg6
z#?fL0#sU!|J@D|}1fwnZBzNxdZdiUb;n+INl=h460~|wAC9n%e<x)AnhuvspQ+8n5
zN5}fg;TQkT#FMFEzP8d6cn#D2=-(xQi_5%I3t@xO|2C-L4bHoB`S9I>xq-cKkxpk@
zDok1auZtF55u9dEfu}$EsnWpCYn1V^uvh6Fxx?_&@FSDa@Xsf^d5mytm6~Z7e9fIQ
z^9W3|X`B-Rr;6O7V}s|Ct{?J;B?dzG@xn}@q3(V#Ta4E%C(LlPUDpjh>f=5s2%AI?
zJa&OExryE4fGchnYe>M&=DHDt_m@n{SeAqtx^!I_;Fa(xEW3o~$09wvs9^`<?qFW{
zih`dWCH#)$pff#uw)Tn19++otosJQHVWpk%7u!$zhMCK@HTsLLZ{8pH3568>4%~Rm
zyMG>Twr|kxf!(P@I|=bq4`&{B!HU}3M}EWVX$p&P;HU444s8(f_u8wL!$kWhR|)y%
z4G*}p;j|C;776e7J-gf|6aG;7zI_wky|!SH06)ujXeNBVhoAT5$H8$m>(WH<kzf2Q
zcVMsYq5_2dQ#5YzJ``R$`XTuM+$8LCJOJ)uoxQ^jkJ>)y^@X?6uB{Wc|AWr5lNaHG
zt85ce@Rapuc@MaeEd8`3tX4T&=m`6h`OIX(Mkzl0y6~&qCW{Q1R_0lX8tmvzrCJ56
z*3U*O!flzRuPWg0dWZf=!j0_g=^x=cx1ut{;JcA$X`10x@ydgO@Y-xGMF(v1pO-T~
z%yEp!w++5Z{iyE<EPm1Y;ulyZNMC>r{urG)+5;2+^G~IRLtZZQe}$zvh34qsyE#Id
zLvS&<l?^4l{QQRU1Z+G+Ttoq%Zdzm;g@u_M<JQjL_X3#=<23AUM>+8a&hN<oZxYTe
zb!+$zzt#WwYYq<e*v~i#zmrLpBjmpedFcKLUNHJ3z6jf1RIYA@2aEk~&B8^=E&GdL
zeV3=c%P>==mqQ`Ur)1nT54$g}mnOg@F&^*!z!@h~N#o((VGgR_@MI*n)pc0yqX@|c
zyueVG?*nIi<o!T+y$^oA-X<{L3$DsdxMqvt!)bWhZk%it=Fodge*!ic?b`VZukVp{
zk%k{Q^;NIIjy`ij^zhwp<)#1NW8C2ZbnwyTn?zf%*-gsMbt~KtqA=OmqmJX<*-Xwg
zcp`D2pO9~9xkWq$Pt9a@kR#sqBHrvf{E$PShy<3X{wdP~hn3A{Q^DRLfp@!L-xROV
zz3`8mFCMk9r3ZfiE&ONPrRE*{VC(sr{qO~r_fKEILDXlA8DW!8`o9Zc2A!ef2jR}c
zIX!9cp@+c&EO3;pIBzQKbNWLv6TCmo?m-;<E96`(CmiW9Jskt9(WmdQ!)fC5R^jk*
z0p(SG_-k2eekjc9_qvw{4lP@`cLmmN)oDEn7vx<Vxdcz$3zZj!RVOkH-Qm;^^b!)V
z)E(}0S6JOfFGCDA=RZwn4+mZDPnCsPZninu!t&Epdr!a(AzQtsaO9ao>zZ)R?Vs0A
z!!qQWuBTw4SBHOU!Hg$0%*|oq`L(E%@F&3wji&Hk4S~N3u(h^U=2h5ltwK$jkUxJ^
z@*3Qc9M+`-dv--J$H2v0VU4nIQ-44~EIiC%XsQNBK6FWY3ioDAt`hREIXVcZ!<)4Q
zVVZEhuP$>j9N{M_paBc->KBy258wP(t_Mpv7R7&tFOa0<6Y?GOYPecqfoImTM)2)#
z_jc#t%(EMT+OT_TLHs<Nmr_Y(3<uZm@g>#3@8^X*yM)&}%pkg#91ahzjWL5ukJycf
z!fDArxb@+`jE}vK!@VR=Oa34C|Muf0JgQ<>D~I^U1D4l|VZNjL4AtQQ*-Q?ilemB4
z6zL-l8$VVr!BWB>_MSOLA`c&#`s$<u%N1u22*WSCnY*=M+jw#vZn&(6>ZKbTne-@%
z6^<=eVsnLMxrzQBgo$4b?g@e|Z%{1khxZEaxfBSK|G8jK23Itlv5$s>%l7T=feZWt
z+oIrf%PW^QEpa_&^kelySlfz-ZVeV|{~?$L_wk(%S%9-QxDV&UwQfJT=iovv`S9oP
zdwY}n6YxI<&#M*ip2>QtQCQe7aH1UcAwHJd2U|;~cQ(QNALBH8;M%T2rAGJw-QSAO
zaEodE(J!#-VI!+%IN<1~v>rG&s^;@McwnqIXb%4Qjjg&8zIwWA{wM6G7=5%D7I@VD
z{Wtt}BRk+FoHz5)cnRjJWmw38eg7+zp*V&8*{?m44l@ru&L)HTBC8Ek;rF)#5*cA@
zpO(e@@NT**5d(bZw9?sV*o#(nkq6GZsZ10J+j$<b<%VrTOE2Gs<1#07B;eqcY`UAU
zrfgk>7~I0e66yoXpYY33g(-S>xG%$>C`{;8;PInA_ub*Zj%^|%_!NhZlncBz)ah*i
zzsdNJV+*^vd)eB-HUkl-&cI_Y<y&lEx6s`;r{NMNlDc#7XRQ%(BiKWs^OzHyZ*AeH
z3Ez)M<nw^Zy2U=7gp<N;licC=x&?BIFmowO)FqhtYH*}H>>e|@?oDWKy1gY18$5cn
zcpWA^)~PE7|2A>7y#{+;)2R`F<<uEXZ^CVRSg85omora}`NL+!G)oMy_F)~q5IBrv
zM42AuBBM^a4QJO_7Vm>a4wXjUg(oj^6H&s#g3>PGaK9<j_jL=Lf86M?iGk+>#wFI^
zODbk3qTol@`WdHSr|zGkiE!e<$1dODgL>yF<KPXhMC~3p@yP0KGTbd`p4tT;)AJcl
zf`3@)1=PYu_Uqk`;OsG~)_3p^m1{+*urmws%NOvQq@}EMnC{SrodVcc$m`Y<*vIwF
zcpCik-N>~Zn0DZ@SSoz~CsQpUpJ{qBEC?1o5>%cCd&fTh5(sOM26<(|FLELtTEp_P
zy-o#ithUOW6})A)ckKb}re<9<YYv-C?h?L#d3B22FSsN^tKtr9?RcK&GyLK9vASEZ
zR_(Li7Wmoxmwf^7?82Hr34BPeiQy_C{vZEfDg0tL)Sj?^pFQytNrP|K-*k6{eRVUx
zJ%rEInw2`jNtYJIg5ij1%bGLrb|c+H2;7r!(#I6`k88|53+KNx3(|uJK8;&A!8BtT
zhehB7wM~f%GaRo)boNWZQHt{+<?sQk8A(E%{nc1i6wJ3bK!^~3=h{OV39Af|O^U)}
z5%!&~FjaKqfHa&Wdz!-q7I9zW5{JvXeXr`l%kM56mV=k7-5PXYGWHQi!s~H3#2yxd
z=MHIGD#GKp0^N?mn_E>GCt&L1nQs|j?i8jJ!g#d06H7%8t2e(fBD`K28$<VRQ{2CD
zAv>i8lV9BBT!KACz1|RB-{$;oVF6rY{J4<t`g9-WxAWjPGCOWZ;Zgskuevb((w{4Y
z`QzHB%_x1?=A+WoA-I*UfpIVVZuj)>18}@TLlY%TTWO@Q4^F<-%>3H~<JrVZlNhEm
z`S5ueexMtgu!H$6h3@^4LHMg?{^M1+Kf0uS2qq`*nxBFj&yCB6!TUZiZH&MhGN0zc
z;Tkt7no`)2bi^>(7{{{%6D$QVMMUAh6j+|ew=WBRzEjz74K{8On|K8KyWYO)3-@J@
z7!i&aFIek;c*7sO(`*vq)Y7o~mtZ$%y_R^`TBnK39d4~_nz#)&G$^`w!cmuRpS}eT
z-U#S-g4-)9t`d%KfvYi7Zt#;2L6a_U;ocSt2e@YWtDp>Q(-!D+9&SGNuj&MRS@RUh
z71)-i`sZQzgobyWAAI<1*9~TP>VF*FcRbc#8wYSJD<etSyRtHp-7+#WvR8KYNT?8z
zL?WY9R%A3t)-O_sM7Cs8W>Qv3cJh3_&!6wtb?$w>=Umr0_kC_R1%q(n_Fvzn6Z5TE
zbCJyrn5nk&5IO8TbY=cFOih<>FpK$m^Y_QiJ8*Yo;rJYEy^tA`4nJiWUi%F18}<2-
z32!tE+#G>($xdE=3P0Er^}G>gtFpRL2=luKA8UeVnh&v*!$l@ve;B|PmohCn;hQE0
zEcD@2+IKCD@HxGe8$>=K@_{j`9X8R>Tp{uerxo$F_weD{nXG%^BD14ATHxWat*AZl
z`d9Odb#O)e#6u!~aoN)8A=;OuYcY_+P5I8Js$e<GYPL<}JEzZD{Hcc7t_j~<hhNWK
zIQJ5EZD!8;0iS!QUH=NcT@cOq9sZ;1aHJTvli6k;gSmAzCQD%Z!+|j)aQ(<x<7cqI
z*kW=YEJ=5qyZ~NVJ-?$DUbt%HpAF|X&+cl6Gls<la$)ViK4C<Dc2P?8ZW_^kaqd<<
z?Dd9CH3L3-;^Jl<?6M^G-(8r(Vwv(aoL}(If#|PdbrBa|!S5P&^~Awl|0u2z`JwUi
zFW2JXvhW9sFW|(d3roc3Z9U1c^%(Z8F3*mJm%{$@%!3Eg8kxi397@H@88H3m&38n9
z`Bu|Eod!S5d>|bNXS>=i-GN1z%qD{1I3+U2BzU^a$%yEGmNc>6F>t#PH<>?i`xWVt
zXt-)X#E<Cjjo;t?2!lzU;QxW)xnG_ZS7APe*(4`;igMHG65K$WrtA!72^aPd`7@_+
zUg=r*KgVNZUa;U*1AF3n*vk5&?+KUXTYNHw4{zVFa)Nm&NW#rwG7(ZGd$^{a(NO~~
z(n(RbfIDs$Giky1BfljZ!+Q_cJ4wJ4w9$`F!%R76nWf-s7if4<MAVku2uzzZ!2I<`
zdygjkpTN}I416I;Qs5Zey8e^A2;OtTY#&iCNOxPC6v7gXc8x@RMoP*nC8m%0gnqJ;
zsLy13^RJ1(X1}`?iTW<WRE+kU9_H&-IdL+?{~oNg`U+DOW`=GdzMJ93ix&8o#H#NO
z#DDBzB58(YZrHygfyv0f7#6|4WzSzy!$(gz=N7_FS337o!AA4OEP3$D1Qs?%xPN%a
zIR}1kV!lq)gOiV6X(qv6OYsl)uolhH)C9PGe}5ZM5AL02yK)tN*SfQosOM~|Q`<w}
zUT#szeQ@FA&Eo+u>2pf~9$3edD!~u-9lmsj3*NQ1LgE3p>Sy2B4^v6|8oI%mR@Ey+
zeWxL4UvCE=s+jme)OV>&1AA;?kIYRAqQ28}ZHhF7B_}v^iTaM5`e?r~Jo@->HBsM*
zy%*Cw4Uc`)Ehg$a&Ak~Z+A!q>2VSDSo0hvxs{)^jxXgS4_Bgs}brSwTaw~%P{KD$z
z+T>uvO9gJauoQol&k@*8`qiKgZ1VBNm?(Vf!Mir1-n%8jbXWuyk!n9`2=gDO$l-&t
zLOw}Y!kyZVe|X^T-$R+^@Myj1xqWcO=wPHPOe;-Gy$24v^Lg1B7ViFcc_+Lm-S^!a
zej#JjLIc~s?=vU*yNZ&g5-F@^QFA;5K4$vu%a$(2E1}94!SLj@&w9)72<MYW5wM-o
zfvhF?byFtOH8`xDlW7(%+Hrn05e~YWS2hjX{Bm$ffXj3<1V`a<`BRn;U?uC%0bgJ%
z64{n}@O)6uw;tGUYN3c2Ke!e&Zg#;Vvx7Xu_%SW5ywL<-iZ0$=2&X&<(D?wr^+>r^
z01vDBRMo)sKivb$U{R|q`f7Ng=*$#RzfO3hhW-aTa&Qk+!UHl*ou#na$L|&8FnMED
z$s-~j`8>Y{)}r`MmId<%C9qe+Zz3lA?!z^E_30bnB7fS3WSIW%nsqH)#jvsO3S6dE
zpx*?S$?&=b!Dk+sWfJ3Ub00&M9em*4R$?n*X=!>}Shh5zj)?R1>{dAf^Rw>ykBA4%
z$lf_jwCBi~B;x94n3|~I=-+&OM0}A~hK-VlfBvxJJ-n<-t2cZa{b|4S8WCUVJCr#H
zPi%d<^cEJ+{(K-A79Zzv{{Wi{lU=?8|B#I1C;E${Ux)2YZS*Ipzs%?1yVTqzQLvER
zETsedr*7e?BFyS6zvc$tVo~0ZhnbmP)7rvYTI##Dv@qV9%xx0=ZP#Fm{U%Jl)2rGJ
z?ti#r{~+w;6#s&FJh}bm7yIFd8f@o@`;QZ;Q+NsYzZA81hZUagzEuVfw3?NkgH69>
zeo29?X3ypj{q;}EPw@w^lE8uMMEkJz>|If?eS$#11-NASr+p-xaB0TG2X<D>QT2!2
z509!7<NuNV`MVe3Hz$=Vi1FW~_`?o&ICM(#DbfF}Nf^ys;S9Oo(Lt~<Z@s)3EFm%&
zNc8tlU#VhDU<z;fnK1Z@=)}fpI8K{=I2!iI5jd>_%X?nZiGp|P|Ep4gYYrP9jfYi(
zjxs32s)vi7$HBuf`>x8vO%pdVl3_bH!;iACRP8AJUHIq7A!Tv+wPoo)V!o_9e=bQ3
zrrk^9lL~9;D3c4qX{mj-+3@*<0Aqf5NLut`7Ch5=rhyISzW*9ObV0scTI8}9Hori_
zUj&!4#tqQJdQ8+)9dN4>2NxAwwxVUy4i9N>#{JX8`izgv43Yn|%bsoc4QIB~1rh5v
z_rF{+-h^ZP&u^cC-})^K&%<MKSA5jqKLdlOr(hXJ8)a+Qujt%~G1#`<uEY|q`)gR-
z4|@)ZL|lOVQ>(H+!ErMJOXuOq&I0BZSiVrbCya3Gk(Z6IFsY*2Re0v${sT3zRgV7t
zc-Yq`^TTUcT=7_P9K8E?f_y1q`FD}YaPm9No5gTuVd3%}_+-A~#uK<O`OvpC_@ekv
z?Z@!jAA3zxVUghRHyQBQn?&_&n5`^{E*;KTxLlqE4?0DL+=09E7al)_BMhWF65*3o
z-Fu(F>MjRP+=LSy)ToN!63VXlD44f;=X3#F{iwqCB1~H9*Ix!-E4O{;4`<gXR1oW1
zAr9)fj<5h(%9B@c*4*qLd-!Z_(7p=TGH~>q1-$E157k>(t0KJI3_hoqJpBfiJ?{2E
z9qwuQ)?W|DE>izcgB{oNDr#Y~o4;D5;fL=Ro)GyoTWK7}Vc0M4c~k>jYZ<V`3*UY_
zcc~rzv&N{$1HUwUX4V3Gmaa-Lz_oA2G(N#Bjqzc0uqJ8x!A|&W!X<}I4dmOEE&KZ6
za5nm~by%z9`f4|v^ykmr@38x;{OMu%$WqkQH@MHi@xuVTW7OwEFU(mPRxt*P8IiE|
zz;l}{RR6CR>WAH5!-psju1+Fu?d|^N70lF1<}v}7s@sSa!~Jg=%x2)}ydPIyz?<Rq
zveWR_`YxLcn6t6*z)!gFfn`w|>`<S1Zyq)n(c`@X@BN)|V;SD#(sMo$zTDxzvIG}1
zHIGNb@29=KZNeAybPh+sr*c$GH(&~zlR2R<t3ze40_vd|m&OCW@R7F{PRYZg2kY*;
z!q-jAWKO~rUcBF(;opf2dB@?WNgNh7@aXP^yXtUC?4@VcaISa`#VI&yuOGWHER`Da
z=QN!5zSZ3jez}pVstM}`*Hp{HE9`F425_Gp3xgcou^N3%2ex9Tvgd+l+q5qj!M1YN
zB^>baw)9=vaE6zn*>`o!=MR4Is=yVEW0W)SZ*6~)6YxFuuI~e|->3FnM7{WL!uP=t
zyc&`mCIhS0y3%}tsSYeA9D*|{DJr|+v~SfUVsO&s4dGV!L=gv*AUv9#IM@b%xjrAp
z4@aur(0&i|e<^sh8-6_Z_}K?I(cuOY6YN!(!u}Rk`u&ZM238gmXsLyt#5N{U!Hpez
zlwQHBM}@Pu@p(K5O_`~L&FAQM|APm~VysGF!|DtCD{$c?&CW77C)_&e4_u_R9-I&B
z_|<0<^=h1zzvy%L`svc$L_KSi<B*;MkJxYs5dBZ)+kj3Uym6ZG&Ny7h*jSYg(}o4*
z48p|`a-I)ivIswBqJLAx3w%k2+xo@?KEjko5@PSe=?f!wI$$Bb;H}%Rprc+cQUA)V
zPCQS5-^ZWXLtLL?jcr`fFvI?O!D?8yU84OaJj&Ng@fw!?L{fAaetF?EODR0BX=4)v
z535*3664Ew=&4R$IOxBgWMce!ec)lJA3XbU&$k?y%Ur+90`7ire}xzy1ztP~vx2|<
zlR9`8ra!~{QWEwsY><nE&wo1WbQpe-d(ZVcto!KQ11dN*LNV|PEUC9clLi)P%CrcC
zm&NOa*G{1xa?o=3g-dlv2G`-eec?ks@Ux#^v=(9I#6z<#aQ?Bq>%U=HHV-RjIHCTx
z+YBtX%<5?a533wtn}Z`0tv(a;O=&)9%p~k^d*{3{tYamqFa?vJFgj}l@5!Uh{|why
z@9@@v|J^uZF#;Fx8IEYdRi*STy|A_&<xgdJt>JKBKOCxHZhI0g?WUdSfX71X!zAHo
zeGSb|@C+sQqBuMi!d2M}d%ZX=un+zeZ`Me(AGw-$hXs!15|wL&ZGCpV+yVb)IGRkf
zPyKmyKQZ6BSJPA0!S`EbW&dJ6?zLll`40YTTkv=Twpbk9{~C@S<7k?J3*vess^Mn>
zDe}a6!}{^uKmWnzOSG1QaF9T>;VbyiR6<KX{BYU0z6f@b(i!fAvv!}nPy*}8_304#
zz*ytX$)|9_16?m7KMpYMIr$vs*B$>-1>X~WSds(FIy_wX4;FhEY?lXjipbd#`M9r%
zT30&EY`@}D0Eez~hCPG}kKG-62G1vb{gn)#^kX3-@|hgTXuTA;H;mqx$cHwx2C}Zg
zmM{C9h<r)2?vZ{t(LV3Z|MRgD+hwOyutI8j43V#eg}-FhfO~SeBz$4!BI#Gmu+`h$
zCyD&E;pnV03;f*A@ADb>uk8eBvKq!GJ<V34eqZF5HM#@;A{*s0fpr+{@&e(Q<R^4z
zVJE86l}oU9to;Jfet=Y9z!^^V<@-Xc2auh=AbbvXW*w@rfwu!EX^mkCgTz82KR$6*
z(%KN-dBT&M$Zw5Uf3#`A*^b=wUT|{JVQx*>@N(Az@qB+I=5EWvIX{EG5U)q~;jDoS
z9Li#(N95~K4Y_q<aDL$G(aZ2!<oDg8aAatE;YB!|DLaB6PU`eb4~4mJO!V-=eq|@=
ziF{Z1V)`jo*lBTS^EzDfaPZz<*yz9Ko<zMTyL5+&0Tvxqwz>t6ceb0;!D8V|Z8wSb
z(b3K1@b3qYUMIqlY;W1gU^;dmQKJ59l?}SJu8RNf;oe{)>c6t!!q2PlW@tkUQUBR)
zx$6Fe^Umu8K7^fD9z2|fcNFiLNr$g|HfEfHQ^%5C68%f4x`S*CHfuFJK=iN4o3VcV
z@HT}iIZ-bS?`&o1fmvm?{D}1}o_{xQw89qGd>oqL!MU9NX829w!ET}+x}oZ*SqHPl
zkrWfx!?i21Gu80QcqwlmT)lSM>LpCq5V|!5JBPV!mB5#5MZLemGW^2c&tU)XTh_#W
z=P<L>+b6Kvrc66=J?>#&lE{P)WX(Jyu2*J@wXQTc+cutk9Ui~_M&%BCd`@<i8rS>#
z-KAgS;meD?E>y6v(?ydgxaHh=HDdgrP_|i(fcuJRUJ~O6#VY~VVE7B&{lxw7%;aC1
z%W!*!2$>*!E37`q2M%rj-lhZ(@AvX@hu_os9aDr&p2>{Z!+nzlqAD<bG?RoK{DI_1
zIx)We_8H1FgD*|DIGe*%<mO3+@b6-+ep9%oi=SK@W~t09BgW$ce3iNCaAOmz;5j&x
zC6eVh9P`SaBmnmOkFG)yj$r6L?+4%O7(93wo}SvJ8v)N%88(Z<N3Vrehr=y@c@+=9
z`R?zcQsAfRieh~5X4!$Y`|u4f+6-3s;Vr{=Meyfn(s*W=?pontV!ycVUiUUF>^}c~
zhR9!iE03yBz*Vcet=ix>K1^ksD%hXey+uOI_chn6Pc6Zo_Z5AA!+p8Q<uh<?@BChN
z<P&LXW1182S}%JPE1ci)rg9LjKW0w-|NQFo>A7~8B+Bcu9^$R_VrLuRomV;~ykVIE
z-G?=>`cQwSC%m>Q$yg4Lb~2mA!unc!42s~>s*E3q{o_rhjoQcXru_a;V*j8xE0Z(}
z?x|y5cnTZtj=pdo=BXghYl6o|ewHS{=_XTqKESuvhXkVGeDdutBe2U|l06adUxR*K
zV!z_az4_}w@S>E2@I0(Fza)4G7W+V&G7G1(OeA~5lW%_7lVg9RJG3*>4VEOS>>`C*
zZ@*o!gU929qWR#TT)wiF@b&LsS9xHOe#a+gV0M4;7sUP#^W*+++OYQ27p~**6Y6#|
z6<E`ZK8D!eWVT=HJpy|?4`ROxUs?R?bPN_cvr+vRo_}GmM8w%SgY}60zG=2I*NC|I
z%F^CinEEuAuRQFxBm7An+`ET^M45=&tojVX{YkY8N^nC-0?9D!T=^zM4bIsWGdu&Y
zt<-Q5?ME2JJm=u0qpu3IV3CRg8h_ze4bQaIVFrh;{w<hI^wFRm{Fg~9i$xv#Z+$Z#
zi1x~)BvSj}kd#qVLwIF0gqsJR$X0u70H2&tDB^_|)a7L?U@`~!7)e;P<WIK=Otou^
z{V*Kr|INV$F6jTetPJ-FCz4vheo`$rRAFbj@B~M=`(&%V5!_41E<t=APU??-8^aG6
zsB2td+l-ucCz!=D-ufK;R_~gPGfWj6JnIF^4O5)<hW$>zQuHL^ncqMAz;=2$&Hk{9
zwpYs~IOEJPs~^n8Z)z0?#~f*R5)3cSeAWzy@4Bt61j3(tTL!PeA&15zufYRVMjv9}
zGj|z#!{C3f)y-pJ8HH8Hn=n^x*QvX3XBTf-6dZoG-sL`Q7B>I!0qoCaY?4XDqnUV#
z{?6@UOq~ns-G19v3};_hST2C`)xK~L*N@N;<+EZ~uqLvp3D%U!zxN70!=JJ51I%18
zq*V>SWIXwP4E|ytCD#Dw@||HGh4nZdHZ{W1nUdMlu=v;0<sESA#L>kmSg^!Z<0E`b
znImigW_iFSGXMvc^LNg{_b)3p4#I8A+h>>Idm-~><M6X|vO;2fdFIP}Y7*|R8d3TS
zFCD$Yy99gN_YJPWo?r4y{=j}&#jd0nuQ-41iKEcK@3G?VQT{`m{OD<JO4wlDJDC#k
zl{*#dEO5gCRcUfqKW;T<A8eh&_HHL^FY4rc5SBgo*_IlX?Rvf{1joE9Uf2bzy=3o}
zhu<gI$I`<Os63q%;b!e49DCs%mV$;V@X0Sb-1opNwLz1rFy-a`HBQ(<Ql?7>raqdh
z!2yfrCphTB(G~uE0<fyQu7L^6TzGUpKRnV<IBp7`rlI>!1b*-9*=YltNp_M6!{W@J
z?Cf9-uZ%<~qW$M2Jy-ZsgVmS>%$>9~>IMf)3i-&x$$_=)zVKDAiE3H6NJY}t5AO1K
zary-OLu2`LFl=_vG3^*UCFnkKg)pVK2r*xM(U5Ap4jU|exvU1)<R17L1qZVD-ZOzu
zg)V)LhiiQ~ri@_q_2um(cp$Za>>PadX48BsZ0l@r#u4^>pno+TUK86l<^jv83wq_k
z)4~<v#QYmabv)q-EX<*DnwY=8d9a2S!Kb4>rv}0`Iwu~L!tPg{Ud6zVoq6J4!<Cln
zls93)b4I1raK1&TU@Dw0tB}<Iv**(LJ%9r^xJ+8$SzZI4QrP1to$4o8o^{Zx7|v9t
zUh9J&QSD`Kf%!^FzKy_D1rJ=C;180`VpH&vUu@0{Ja)5#eIC9>M*aIc?3cT}cMUez
z<rx%2zUN!Qxr0O#<Hgm)g95OUUjNW;IDnIF;3gbH&)v)p?>G>8AR1=*?OUe=$9R1i
zQbIny+)P%i3OigD7gmIae@cHk0~ed~9EyT7OD1bA;J&bP!I3cOC+kCwa6yQAH&M^T
zl<;zTz%sPg`6}SLy;nZ@z=LL9?H^%t4XwIMFl$0CM<;CDb9X8TmhzgGAA?P+Tzam-
z_nFzEi2Bdd6R9-JziOWQ6CT=`G93r!?Tq|A58sq)4U8vlUnCH|0vG?ubG;9n{n76H
z1G_D;#HGT&9!AdXK)t)+vJ#vPA258PNCAt-_+{n6?Bt_nEU;L)MSLM_DY%)(43qwy
zEGvd{h9&9+VUN+y>{sxpyE>BqOqN42R|ALpKGit|yZCMmHNufUDpFM8EZ6PCR=CkP
z_|#cgJDN1S8|J)x{SHyTck)-|^}#mGFN!_kmG%0&BXDeP$v=14kmKONF?dMeR2;D$
zz`aXq?{_$8N_Ci6FW}xJQ<{Z6HC)%O!RMar7FmLaFWRez!z{kxRe#`17QcIl^@t6{
zI|YAX!^&^`#Ck;oJJs=ju;7)8CB%A$8X3nSN-gY1&^d1t>mAPS42CqY?(#LxEZB-h
zNSO&fwdCnete;dRKIz^KpJCfrdkm}U)xTqhpK6S%6YDR7a~dX`@RY7cZy`M2cuq|a
zzV}>5fLOoz_B_b#Agst~f3h0(IR4OF0#5v{bo&iF5Gg(@3I9IRz)7q>O&u{Fl83YO
z(%j#{HJ)MHN^tn~f~am-uDf7C6>eAv#vkus{HfOnKLxA4A#)<u!=7pcoY#fBOgc)4
z^|HFISIGwO;F-aWAMio?x$EZeqD3YrvEH^_bu`}!9<q9(unu<>1*AB_7rI=cR^hnF
z?iy!UX3#U28tZlK61!h`!>6ha{-%UaeLdpr2hXVGXYj&HqgPCV;q*^7v)r&RbzoLF
z%)QHUzcQTnvpxPMoEk~xcLJVsh#|QH+kX4id;wl|Tl$#_4^=1cBi1h)NH^_r;Y0pj
z-nsCa&}D<?aBv|_RW?l9&rVYUCzyJ>RKZLJkJetn2Nfw^66>`OB&<uSVO?WKJ7PWe
z>c(tV1I#}0yYLgNakH(l38qLNY?*|Ib~==QgeUJgvQEI2LgreZVEMe>$1`ww(@*&!
znDV3LA7VZEdf~Lq7ua3@DANWkydzR?3O+jh#%2u`XumQ34L)TqI!}W2YEhK~T?_CQ
z&tt`H#LtGvtS-WDovxYfLYzK-=-WE%m9m;ktalr7eGlA(dA*#Z_rYgf;@!x#vA^2Y
z6UG9MEI#^60joxyWaNfVTIkHt!3Av3tvO+eO^2%tut4G7SwZ;CRR*8E@HyWQc>%cB
zTPv9jp4`wkIRXn8Y+UDqNySRCiS_wgYh0`X@D6@9DJA%jVHcGsymT!fQ~~}`zMd)u
ze>DG0rvi5!DvCJ*-})hKc@pN%*;yh7*RTG&cm~eyYRozTt1TP6*N2ZyY)C7^X@_1K
zn!}{xuLQK<aZ9o+Q~2nnsP<`i`%qJr3w;0If`T!;^?{Mr8CH2C-fjZdIru*ChWmz>
zs?Ne8V*gEf!j#4G2DUKGlRf?c@W=V>6D~wN%dpN5jv3VIc7<CvO7yS5*N-sQpNH24
zX48X+_HquU7hq}|Ezt;gwdjy~5Ij>Jayc9xY6%|<hF^UgqKtv3KVFQ^fxT8Uqlvg|
z>8|BR@cu&ejmz*c^}9VKuu@sjUE=vjo)=OshPM;>DZSuD$FGvFU}rTsBM<oN`HLCl
zFvrc&_YN?<?xDCE_~PO(CSrev@>unH70jBR5<$FwX{0_s-oqZRpL`_VzdwSp@9JRF
z(DkxYaJ8IFX*1l)vV)Y^pV{y6j=KqFmUwZ2_<UWQof$sDQCG^}5})szU7^!$a2Xd(
zju5P4$=2TkpZUu0>i`_uAW_@}kKVKICi<h#*>{<P@bf+=-aYVbE2k-<effF20OI=S
ze=^ha86KRoe@9#&dY;@-eXwsK#mzpLy8G_M5tvDMM;~#${-8dWOvHWUPBY}g7Qa4R
zC*m&xPFp>NMS6`S+TpgB?#Hy@knA|_Uig%jPmCr^bB4aF1HMQ5&)@(|swh`W++TPG
z=|e#{ql<&`6Ko_n`<oV)I<K%yJpV^ab0=tE!I~=_M0+(-X@ND2ha%4ttBJ=S);fHC
z1?FFt68Qr6MD>o(!{%+uY*X;F8(rdaaKqYY<Rt7N5|A|si&xJ0&%)uOUi0HHuc@Hk
zcUUL+<;RbNoev!Q1y|M=aCO4Z`|6%8!0&qX;~U}m&YA}+@a5MkpNaW`OwfGCGOT@g
zTDJ<0rZo8T7e3wIm--qOJ3ei<2~Xz-)0M)1X@>O4buga)b+IUhkL>rUB84BEpl^Kw
z8xC0)(7;L>EBlD~ZvWuVeblh?ue6&PaPp-A%3ZM4i}1cQn8wo0j{!bYeNgib{BiuW
z!(KQ`iZ(eBo_#Xhu?Mz%Tue#K&vb0Bt2trnu6Uy;xc8m92nQTfAlncM8*}lp3BY$_
zckd2?Kjr5~^1)+ml@b1M*+QtlFs$#C^zi~bYfCkL5VoOJR3Y*S-D9~ma<ECt*swD^
zvUWgJ7S?mUscQqjd{IuV4wq~5O<Tex|49d^!6_=O=7#WwO1YsieB-k5Z$0?pokMR8
zVT+V)M|F7V`v=z`SR(1p<T04#zQf;O`1+%-zC`@^%=M-_u!BjznKFFz{OFM+I6FSN
zSsuPkc5HVx{6_DcgA8oeofw)0Z<YA>h{4Jq6uq9poyv54qA>rJxWUKpB<<TIe)x)o
zRMQLC;Ed5IFC6?k{74}z6-If671pfe6?h5Dh1}2B3wz4?#FxSIOgfAVa4Op)&wBWY
zr^8cPxMuvvKplKeWFI>jES$km-UX`;@|68UerZ>HhW{f>Q`;*@<ey*VM|KUsBOi=?
ziTu-Ak|(4OzO-lO<Sa~aU(E6wynOv%@OK#h)7JPEPTzPrKMMC&eE)9_)^`+9B=X<x
z5k9_IxZ(Ij0kQuP@i>EV36``mTI+^~N_v79;Y*o2-CJQ+M;-Td_)$P$IkA7yX&BbG
z3cuz&EJW;IknMCRqdJY>BZ!dK5&IK7>WMs*@X?K`!!O}|x_{{zU@s}&t7Y(GPvIas
z*v)0=S3WF%Hr{m)>}sNT>=}IA{&ml8SZ49hi!9hviKCt!Cck%Plh|MQC7>q324~!-
z^STFfi*M`{hCNi??6?CTbKtss5a#o`bSVZtk#xaX0v7aZu8)T2^Y45*1m~0AkO_ky
zyq~O<fn#fX!b9QDb!3N*z~kkKO93#G&V3p+cq36T_5#dtw>Urr_9~g!a)Y0dFFR_(
z`JD%}U13Wpx{sRhjPcYPTR1&Nr^W!@EpmX`2Hs4!!`JvQKe0>&n!vt!-ITWQJg@a`
zL%4=~5<g?d{+tZwbuIYmS518{nDO3qPIY+ow&5EO*tPrA?PIWsX2Jbn_|DDD14MoG
z>Ua@(5WM@B{R1hO)AM9i3S7}U-6R5E9ndyNgPZL6&7@(DqC~L*cp^gQrv&WmSZVwM
z?hdHhsSKZZOf6Ld(_4JXAs$b5VSmG0_<IfYVdDAp&+3(ZfK!I(Le=1d+P)gia43%o
zoi5zskS@~&`+F#x>%c+%_06AP^Z0;oMli?D#fl;L*3R>XiPtZ6kL&bj_!2`-ttH&{
z^|azwc<l89Itw^Huf$;*7UcUY<PP^f`DXAFHd37PC*J?KFWghV;Aa_}<i2pjhDkS;
z`fI7Csq}r|4fQ)N8?d>s+?Pu*-_<q~GF^OMAe&40B0N0KFhdTDz1OKA`oruI?SY-}
zxYr@_5Log>q9;Af<!zZr)T;+MJ1tq@Z4J3E5%Avvj-Pws{RbUAV&R@6R$sVb5h<k#
zqCcJ-e(uW)tNuK9is-K^p$oP`u!pchVj{e)bn1^V;YJ6ZR5*SkdO`{=m6Y;$03Yr6
zdQloqdv38#Tpw9aM9wL}+v)<RGU1iPTkA*RmPgv%PvAp0x~J7(4Npd%$ME4Og)8dt
zN}f#N3s~k}gu5ObowdA1?EftmF8tGncUQ7U5!Y``zv8?Z{CcwYQyDBvSrBdk^A4}u
zRl$wg>pu2yuT1gt*Dz^<H-#h2M%S%a4;%ih`Rxu5-MfB+7%xn96rw!gpE{5Cw7`xH
zw*vg(H<U(pO|Y!|PTGrbUaH>$QQ!Y<vt0{;FGg}G67_wK>DSn+u*8~T6R}^*MX3}V
z1yeDPF!#Yq4f?q;@MUv$$!S<z=y_5STsm42JO!7WJ$mpi>`~f7vj7_mr?RBO58b>>
z=HRynCG#_2R*svK#CS_poA4kH)*$1OSc2UJL=QcIqm$&SH(|5BIF2H?;8`Q}23%%v
zsJNIg>)1VFd_TdR^zap2W9vRa0;d(pO23AK3$L9g_RHVj&)|CphYM0y5&P-;PimCc
z!)pdS+PmOyD#f|2@XTsvGBKYRli4b?!>r`x0{h^nJS_)%;Xi{?KE!&1@JdKkA3RX6
zzQqO8iO=Sbz;|1!H96rtj@%Ptu*jXRK4SerRwbPC7fkb~#ETDpH>y&y2q*W~ZwkZZ
z$N6rP>S2Dpnv`?^R*aqHCx<_WWb;bEUIMM#yWs>++X`a-T;zRtcMrT6>2>M|{P~f%
zs2cn$@i>hLoW`hrPX!idlnEvtPo|dM&k)X+D`Db>XM%V}4B*crPa}xe({v@I%^bGK
z9q%C4Pn5Xg<jmmWlEITZVRrvxdt6|J%#;1Z`<HF6arGP=(Wjubjn6|gZpJDAHe^p4
zB|fi#4-1Wca8hvW8RGMlj#7LX47cl*r7yzOPmb~i!P0wQF#Ldj>qjtLgO{?pEQtPO
zV;T_{28VUDwT{65)+tOA;97MWhhex<cf0mBtod+9&nH+&OR?x4+<A+erwbmqc9=bx
zxV;ufBGKOuxwuki!1op;KNH^<=(}O#mj=7-7T2qR_ZY|9=fEsJCsT;)?bnyfa#^tH
zex;BCIAt?y|5Nz<mUa^{e|Dd{oA4O^60fQF2=?==2z>$H=P`*S#)mgmPk%gz_p=(U
z67#3&^Tz)F;9y&8m1MYd;-yL%ELvmvA2ELEzUh#B0}EB#Z4={HegB)ZN_aEe*7q9h
zkkWax4o;VMs3PXmwY1lN-op1B?Zq#{<rn%scEVfI*6;mchWa;39q@9rwX7#x<K41v
z1hy^KY$L|+Il6p&Ga31=g!XYeI5w`pW)2=JJlJCmX9q?$&%hI=BI?GlRA*q`27E_s
zeb@k2rqSEA4ySMb)zyTnrDf)*_3`~4vFb@;ej0v5Zbk*?3%@ft3ah;Na(ExSQ0O-+
z4~Hf`&R~IAdjro(!X4-Q0{6ooiaD3W;Nvl}Uj<+?GQo3#@a%X|nkq~we>8y$J|*Z(
zsRAEUQYT}9e@j$W+rxj}@*ZM<y%QXS>|ptTLzz2Z9lEc!6)@|3ZTD}ipT2W&X?Y1}
z75AQ+fp1cj@85zizwMeFf>(AJz4-?l?<@D6ggZTNEt(kM`cUi4{s?<~ZL~6m*DRLy
zG{ILYriX69oYB8Is^E)JJ5R;Hf*BmQ%izA~x8F<PKqG6C0$67JlVLGjG8%m$8x}G%
z;b?+sE`%Foz>i#PBO76c`J#7s;a*!qyFU1-`UBHMShm)*r3Y4;`_M$J2miQrH18|S
zlljOx5>`8^#5f77`+VxS0`Hm&>ED1ie_nY`eE(wD*iU&KCMhc7_JKW5{99o?gYlP>
zTHO^^Z2o4q501Qj?3FEi%T{Nv9K3B{K57mxNc%pQhrQZ)yzJroQf>C;aQ(ZLJC<<7
zB<Y$3+}Qb=&k=4vL|W?$N1rJAcNVVNuWITCJ3TrdOML%hweNvyFdUT3(B}j%OpOj+
zfxq{3IC{agYjOX@!n{mdD{inx`4{cmaEaTS>lfgr_1OInVabL5eZ=dTIydzu6CSg@
zn@7Cf#lhrzMet*>OnHB};LnO!3G7y3(MY^MyeUtq>R`_{Lkr^jD!~rBAHIVX&+nWL
zhh^m&E`NeAwEqqag%ykB7<*uqm}gW`@ZSGse@w#9C9bAMz#oR3!=_;09Y=&>;ao;e
zt7VvCY4tVndC^Q|F0R0@$MZFb&r_>^bL1a<fs8UK9$u`!9zbG<e7U27=K)M=e!^fE
z-0f&rO7sW!rH|j3;C9VjCyD+dnJm%62Afo$y_p98&}ek$fL~sv+m{O)kRCJ_fY${~
z?1=tm)B0{f5U!{vTgZnU)AxTCgUj!$%RPhJLmDrL!(Drp-j~20&Z2g*a185VhGJOO
zwrfQW{&(R^+AG-2R{rY=*zNJYsdBhxJDy1u{#M~ZLR=rDMSuTk!{<%2v>M@irZ19D
z!~XPI{T;9?7gvNa{A~C#Z#x{u5nF5qAAkHoX#}=SBzb5HhmI~@{|wJhS0Ay5>6Y&A
zo`Q`6j_|v|3s%)u#P#~>MA$bkSaeST#TH>^lAZwARiH(86E@DgM;ZuA{9tsW!}#FL
z&-pV9ws90LrG<qz@03NtE`RB)i1BCYJ^!OPxQ~-Jmmlsg>gz~=nFMU#O2ejn|DI*R
z<A*MuA;z<lH^xt9!@;S{qr`ZpcYv0&6mFPf^_79elXxPF;dq*mNn*U)5!9&L1b^Ic
ztvLwWWPU1dgdbCNO7g(FM!zKX!2+u<-f_UOCSNytU_*($GR*L?a}&K^2?tI$GQw?K
zlb+w;XBDBwtngH&t;|38JPE4=(O$LEvuzu8NP1pH+@FY``x8bZ)E~x%dPMu7PgjpK
z!TSHc4)emU9-(Y}a3ocr7cu^xZ%!}fhZ$OEHuu9}@#(h?!ynjVV~O|YTY5eJ5jb|4
zom~_*NqE1d3fIQnDj;4TkM5tlr{Gs%tO~^YRm64inl9|Q(i|=hyZ+8+(}x`!O&H~f
z_R1xHY~V$Tf-K_w)^1q1Wd}3N9}y?!7dKVEKv($N%YloEaKh-zUGDH!kUfPeeEeqJ
zY#`ido0fb6p6sEE2!@xA@(U32mwf@7%`JGJoA!Ui{1yAyYdID+u<2AL>MLh=lA2t2
zW!;^FXrKJt&g3zyt}_3Wm=A+Yz3Qf5(u&YI6?nL3)_fX{4BQAL>M_-L2fl5>%R7yT
zdM@2~{uPNa@-N!RF+JE&&pw<LZtC!<B<j&z%QaSZctrM_I#I73CjGS}4DVg`>?hiD
zSI6HHg}?fbJDI^u@zKsouuYKZvJw1nL-OBIc!;U_8Zn<UzszeihCP<dtcdn`E|xZ?
zaNw5@-)&)z+lC6xFry_?Akp697h{(TTyAxh@*Es#5m(~_d#YyWIl}vT^i6%?*L<{}
zJzyn6U8!(*T~*$b$S-bOVQsz!cPQknpN9hyAC$+yCjMp0M19ED<Ej@6e^BS@yac;!
z&nVr6uNMpLBkIEp+4~;%;d907Qc>`IMjneySmOG2U?eO?vH2?tzE|Q*bsN68bbaJ0
z9RHt-ek@#YTa)2AtmQ84o&i4<9oQ^`Rr<wC(_p5YJN2*Nb0$`nMExZmDOOSo3%M9%
zm%%=zJ?GouB1<d!H6q>_ZPN?$$f=vGz*&!_nkh}No}j?)w~c)GdzMiJ1FU%P$LlSa
z)AQ9d6Z}p0b}s|gTMPG$^|HYaa?QBt;Y-G>-W>3$si*lYup6_AwE$e??)94)e(ZVm
zk09I_RehBcUQ#ZY5QD!dg?wO#3;vrA5{Ery+KdHYgDeg=S@;-hR5~AgQ_PW69u`^X
z5f*_{3m01T;ii8xB>Q3U2o<L@u;l^S+lOF@2fl_DaGKs|uPAI3)iPrV-!v3<JObY-
z-5hX$FFb3{KMW`SGC$`Jm(vedCBV_gNG^F2@xvzqlHjz){wF^0ZOWGT9QcL(#Yz`g
zFke(N4}Mm6dd3}APAGRMha2-JHi`Q$EM?&!et)1FdHSvsJbc#bX)PRO{3XvC&Qqwc
zdk2@Wo;q#=)1Ka%Z-L1=KI)so(&HwN+u){P+3#lXC(Cqc;`a})n;JMz!fgBr)<baq
zW2MV_aP)Hq<AYew|KmE~Ox)fe@^#vNm?9nj9u50=-%vdPd*!uqJHo{?qPLF0hT*UD
zo#B+g;ygY0mV(o9Z}_c^!Tf1BL)XT~7yk33i^>Lm@*ks3AiN>xsc#L_lkSVZ0$+YR
z<3{X{eBav<avj#cc(sJsA8AaRco79NZfvv?`#1h}nHlkL5nBv%Ff1D?A)5%li*C#!
z_HPU<76en^{62&4#Qw~GQKbtRu=GRHgfy5sKj=#ytQ#NMp8`t{mNPtqA5pC>=EK(c
z*SCscH~WhU&)|EzJH-EkCwr%ih~ER<OM1jr1)DsuNqYtNelZSv2freb{Wt{Y9Fy^B
zfitt7>>GruL{gf^U@IrPj|TWXRO^KsLj&+q(t5NZtZ`4AVh+As$bGO9-gn7!X$fXi
zy5d~{=chi2-h#`uE>_RL;<wi??J&jqhfpiU54cIYT!j{1o<8}U48NzleS_)nZaCa6
zeu)I0_FQsgfvax}(eH*C&5ez?VEgj|CcEIhL8_6w@XebZK74T2o_v2H_}K7^avu1~
zg~yLYVZ&cbA0=V8s@?abVcL8tRtb1l(_RS~ICb1GPY!k$isU{9GdJIwlYy1j9~hj3
zrIK1HHQ>M0^d~jpobi9Ur(lH+&Ot5skRR8uE^PTHsp$-C`b&rZG<>l4iM<iLeAcbV
z7|v(nJ!1uTQr}rIgy|U+XRP7NhD8xp@FA%~&7LsL>K`U^SZG4u!5f}6Wz4jL17`-R
zs$u`B^XK&8)O~!WZ{cdOh~H)~MU}f?KfEQX|ADywC$ev=2Vlo~8)M@BoeB=&=rqiK
zx7E@t;CkgK^$GYmnURnKe7kK`W(M}%l=dMW??tF-=PZ0*Tludm9Kq9EvjjW&a;dt&
z9`j=6%dl&@@JAn5J@=8u7TocRWS=+uH;#7vAN+iEXYNI~-!l9or5UdOz>yh$c=)>w
zIW0Uewn%XU&T<<5%>?_j)aYD?*QpI+nc=r09|mIKSE(Jr9Pp%aJkKpy@?rf8Zg}1*
zLm?gR8_{@p0Dd@R8<q-_9B+~nf=%w8qtAgK+|@fM3Ew&?VEhQ4qPMb?hIQ%1yh~vR
z=4mY@n4ItHf5mW13rWavc=G#?jym|z)g(`KnAs_vr55h@uguhf$qr^pbiup>2JvU$
zY?{*-J7Foh$altY`UjnaG1!5dztkGeV_NDPfvMvuuiC@SDf1y~u;`EH-fl2=<n8w>
zuwUIXC2x4AM})^N9po#H7NQs7+*Php2Kal9_gWBqMv2}+2;Ou1;P-3rKDS4i2jCG|
zlb2C&Anh&nlQ6&AzPxzYevmcpINTm|_QGA*W#F&0IecVU$RQm*t9d=h6dtU9lbi{^
zQ1HI%0xQqQMm~X?cl{bV2S3~ttIUTN{`UR32vhfvKP!cKl#G-DU{(H-&oAL!{BkBY
z;G$=7ZPl>phr+b$Fq?$C^IKTg<)Kg<Y}BS{`T?#}*yVEzw(%DE)kL&^xxIM@w&mM7
z_7UFr&r>A{-aWP$_z6BhXVsYs4?OL08-my6>seA@`RldhpW&At#o3SG8i%~4Nw~Cu
z`9~)F$?{&@6im{y9q<%p)(;7phxc3AR6T|#9R2qFgh@|nX%)ePUe;8ru=;v-d?D<X
zY4&IhE~$y-EGKUNRwa?d9P1NV;|~A9?)0jnWH6O-%g-wKy^16UEgY-QF8c<aE|ht>
z6Q*b*t*?h?*97yJ;cO~hns@L-n8XPdINetIUJIOBvx{dx>?Byl{{epbSD^9$oSc|d
z)Cn8^WO*hIzhWO*ZiiL0#Z@I?7stA5eeexKerb6)jcuc;2exWC(XIg39s6wZ1wQg!
zrdk=M;M<ix46j}>H&cbvc^8Gg!nVZ*8anWdB(Ki|%;Io){4~6@ljQFVOjB^7%NW+w
z5>fd9zYfgwFoo;3sXG^8nSnGb8<^c)oaGn%wZ47X7XG`rGkXo5lxv%EfvxU{eP4l7
zPLhYY!Pz7<0o(At7V`7HMEm!GZ?@pUpC@Sj-~xIQO-lTp`_pZejUbqOd+%)u_(@m9
z-7D}Ofkk$Dc;Aia>(^mtWpewSFvYhH?i+C5$<Oo5@VBB~hTAZE><{VP@NY4`XYuei
z=ek;USd~sB<vz?e+Dyp?-+15Fo(l8MU*r{mZy63(XTwvifzCp3d)#63T$p29Z%GnX
zkW$rr4!6+iDoDU(H!~*+VSP5fMmacKrS#KFc=`-Goh&?Ba*?VMR{!u8=^nmc!xq0<
z3!6HZAzep3D!H2Y4wh`czNQNc6*66Gfq7H>j-Q5I#zQ&V;G@H;t;X;@zcjiYn6~E-
zlM!5>8m`<A#}&7VIKdBxbEHP$w~WQ-9f<ZFoNZ$;PkzXjJN#Bqx#~MCD0^1b4UTU<
zzBmiB)h}BI!L}W)<4dsL%g*e}uyWXZ@G?yCG*u!Twn%03+=7KZ_yk;qMXSXhkyxOf
zr67+_fWJrDB~rs<H$U~<hRNryHSUD})jBL>!p@Gb%bDTl&&7^Bgn!b_%<hHnf2q_h
zg4Yip{LBppON8Djgjso=nD}9FOX|WJxcSdxQW5y%?hn7K;H>?NvWMVeSv|TAc=M^k
zK^gdmF_mE(T*{SbEe|vL-SYSXm+Oz>MPNQ%JzhebH{eUHc1;ylV61JKgL!}4zn}x>
zu6ym8g_lJdR19E`8~NoFIIp17h+o<q*4btFmkh4V$aS@XKiRag?15DSs4N`e0zGf5
z-S8DAdtq1Dr7(+B3_c~*&UPM7KYCO{1m1Br{Xbt=SA3<LI4|LMB5htE%s3OvCIt^a
z`)}w9thxW+VHG$iPN?-dJgXjm`6T=zklgtOd_F;ahZf;)^Xm7AIFD7rDfn7U*Z6(7
zJ7gD^9z4jb`6(05oyEU7!S8w{y&l1Ff|@^#VM~E~$1CBDwu-m<aD?ow!PoFj{8_y@
z{D3m>bqhR~rP)uk59qpR(gxQltvQ~B`<rU1{=m|2hHHp81M8>kWte(zlnxO;p)BH0
zZ;5(K`635#e-+~zjEr!|5ALVL`4Th>V!yayhTBgM6YW*ijc)P6j@tTf&%u4%AA*J8
z=PGd&POx$E@4X^$-{9dyPx$FISE|GCjej0}?(q42DcRC+?D<`ee(*ImraMY-TAkWc
zUpSm1wD~x^^f#vN8r=KeW~DluSXN0H4vT*a_@xDRPygjff*aM=$IigZ<Oj|rz=Lla
zOHJW}uXpUshc%pya%|uke<6dXaE7`#n-?5Y`dpbff5cZIT<9E}yqxfN1@86gt9ORk
zI>l~o!z3z#-NfxV+UV7Y^GqJuU-GttMHuow66c+8@2d?lhXos=ZV~69G?qC2X9aJ)
zsm<ktJ746~8^O&>X|~*ih5y)?z;~a@&mDj{sU^I1VV%@nPlRAci}qXtIRBz{tpdz<
zb-PRx7XHB#tOP$OPM^_%*9R@`66eRf<Z4`3g^#z3>FdD;5)P6Y@QqK-uEcpXuP3ja
zI04^MmlLpuy?VJWs=$VJzDF;>OkFaOiZHXuiB;nKo38B6H^*R`h`?Qu@WZK*78$sI
zO|A6?OnODcSq^s5nlOupM>CHENWlMH&flE~tMG;Hl7joBG&56R{>L}O`C#(Z_B|PJ
z$mN!1emHs5^AT~rPw-&V06Xj*AY%OlZoEh9&k5gYZ2n#ZHxH0U?182CUe76kH^Wr9
z_rgCq1ted?B)M{j7+{^jp_w;u*Vx;S``{Jcd$K=awTbjmqCeX=>Ms6*U)~km%M2gt
zjG-mNc}ByZ*93RM!pkQb$YDE2rCK_ex@_bO9c&d#+erbxN=l$(fb+Ms-6`S2l@cj?
z;fqu(f&XwlB^!<yvBJ@gMtevQe>NU6#tZZ6u?nmqUUoz{jUQgPYh1GqJBc+P6ovKe
z_Ovg;><YdU#Cc0SiF&R}@VOKw9~pS<7|o?wxYo8@SPmAqRNg%gKM^u3KLPKaUg4dB
zA3t3?uM9T@I+=ZkeF_z04B<VxOwMEQRN<hSF--C{Bz+S0|G;5$4$c|iD;S0?HD9s1
zz?EzbSBUmWBxyBau)?VItpWH=lT6?>_}3QM*)MQ><UXEsSlH*bM=!j7w|FoE4)KsX
zHUtNnCSI+8HKWUQKEVQoLW-5JjDrJLKWy(uJ@yIq6zLW1gjJXxruM*<Jem$f``|}k
z%BJA9L#5}5@$J>y^WM|2o5{>hVtjL}+qL-<9#hq4e-8_!WW8L3H|MGhKETfy$2-Vy
zo|QBoo9$b;!o~Y01uXO|GWi`WxAY>L1!fQ!%pu0pq*jHq``|X3#R4LJKh>O51-48s
z${-$peze*CBrNs%r#$iaadj>Wny`~qu}BY`c(_Me1AZ0Tai4ho!#~xW-QXKx+j+$6
zu}>Z5^?)lp0$vdDYW}aI$*@UJQWX(b$qq`r4{LpI5gvqR&A+x)!YAwo<htP4Z-G&7
zV7VvWCyDsJCxPnUVEsF;dPKaEhLQ9;Oy1zg+XqLa4L&Btd0?}aXT&>Tqf=h?<Zzt3
zK1nxR{8^TY3+B$3WN3w-wl~#r!};nl!NmR5P6+)u3FqFmy4egjk5|4>fgKkWorwD%
z%kXB7f@`kaFdc!_UHZ)<;R2x=A)<frHYNRg2%jZk<{<j-FY)F7pAVOqvUp|zwzOkA
z`vP%i{?lqJaG>bL?B}qPO7Y%J_>;{+%|<w9-yRxrTu(|LLgI+?@pNA&3{%0Wroz%A
zFxls=cH;UzY8`m_GyIP9P8Km<Bx&$)ufXd*G<S&c#CFEj@ei!PR&kCPkFum_Xc%yw
z;&!*JxiB2*ds>eUK18}DA`a*8nO@ot-=@C7B?~`T6i^U^*K_KP6<`Ye!-g_&vbCXx
zGE9=-c3&Dkb}A!O4et5oU#tf2DU$L%4fo!9ysQGJYs#w;^VRyr!)eyA;C8R91>E=Q
z?3g7?$GuEL%r_<5lac<gAz%7mVt%q8p>DkZhkP`l@`j)8jlP)yr<u`j1i+o-c^zr+
z7|&t1D{%C)RFWDvAb!Q_IxOm0e5wlWW`3-g2%8T^JR`w*m3M|B52e8OjpG;oAs)7O
zRsIp2kv;ib81WwaY0+o!u;}#SL3rnm%(No-;+59|#QB(x3hB2i;P#<%S54T)IlA#R
z%ut&iZUL*DzE$}S{t<qs(G2cyy1v)|YuH^Jb%izU;=Z=SDUmLMF0coALRcqko7G?J
z17{Sc`t`#ezv`F0;G)`sf+3hA<PpPF*psK~;RJkFGTJBvezrDyVH)1y*|~NPZqD7|
z{1Z-iQ*<mDCK1eKSclhBB%+((2Os@87Gc8`Bh?o8O=tVhW%%T&#P5@^5r5L(c{un-
zS<V!^Z>0SQ(f+AuRMiR`ec`6^5BP$?lS^yxlgE=R3ou91B<F6NN7_G@#QzO`e}rs+
zIG^;cLvao9{6wogoH*f#Aj{TKm~`?64>ue%kVHNStGQarOThGpkL((TA29eW5$B;k
zJ@278Ld5gc=~UphofIa0FiV&92UU1mL@{m<7LSk|Glp}hT2i{;iy~@irtsa59Nt8G
zdF}9%=V5=t%%BeVl){}&U%2nzl3q8QW!IT?3vS!*Vbu!z+#j`ygVXKa`xDP+x5a$_
z1YB$E>q<P|8uMPxaai~EkwN19cu(h|M^2nC>$T8EykF^K8h1$H@5O14R$%!RZ+Q+_
zXw)Y89~^T|D})V}Qygz6wZeLLCG9;Cc#%E7jt1_!H98~&KWS3fpo6IgGnN$K&sNk6
zd*F3?FL`;`!8-2%D=cp;bVdti$_`}bh397%lQrO2>W*?g_>Q6;zX2@ol$$RM`~ThT
zq6fd6-%=NaAMW>FGKDQ|`xK?&d?s;u6L@r|O#czsf+hO>S@_Z&#@3^7jHoJ&HB9U1
zhrbiU`Up*WvJ;#{Vqm2X(`g$H5$EeFF1=dSAmU{C&K_{#<NLGvu(+31fg60jYDe@L
zSdXMs?gAXy)Zk+eb8t}AdBbxVN9i14i8?FYOK`*r7l{Xa)pt8F0N(vGCEXLI_-)7?
zO2p5GB>2M~ZHo?9VCBGnVi#fCgK9so!%<t4yrJ-C(Glqg`0`Qr>Z`DVy+rLTIHB)M
zNfi7c{yjwuTqXZS_a+>hxhF9R&idY{oCu4o<@P4PjNWD=NwDF>l09)g@oQ<-PpR;_
z)78iK;q#vdywl-G;r7E>@K{BoLoO`WXLRWyJQ-oXod@#;WRX9CnFG!&6~co${F-^N
zyVGKP5zO7-)l&$YcuYoA!2Jy~tj}S}&}iOD*pE#n??2d2(ucYk4z=SGC(cu5B<IR&
zA=)>(y{?3LyD8#^VA@k^s^xIuxi`X}VWygx&KmefW--@S_$SXIb2a?U#PjtOtl}q|
z)c_ZJTVyZ85m%Ol-oXW5xlXLY0Tc2siSwK#>RF_>;hvj`>rL=u>(NdUYwRbtbVqi<
z%Q;O2tZ?1#dc!t&JLRD!J3N>{HrfL#(8f!Oz&fX6U5NIE_-2VH{QXDs(jaWzZ1PMM
zzVZB0Ez$n%F;6-bn8Eqz5#s)M?wuvkhHwA%zDztHj%8m*O}K*R$Xp#fFKlCG04Mr5
zO4h<Le&=87!DfGjaw}kR#$*5E=)U8r{{A?C%gAUTGRw*+S=ossLNX(i6*5x_$q131
z>_}9$e95j*Hqk&SJ0g_^6$+WZ*ZKYVe4OLn>od;hocH^E@5#1?-6`-58+b7PD2)|-
zqh39;2oBjI`tJ<f>*4&V5T=ipwX}!hZ%dkI!Ta7a8lHvK=!`P%!50p3RJy=vX&g-C
zdMH?IzU>QN9W=a^1Z!8dtzL%ZGB`Jr>+jT_n=?W1rSnpTQLy1^>f<Xgg-f%751d|M
zT@(s?J?-=Nh8JE~Z@mVq|GD?;9NcHgM|mBV-cT;%2GgD9afpKNX8RS`!$Dm`<_Yjt
zm&hNsaKpZLJhAW$-;TFrd`KRP*p>q4Ig79x!2cb(b}1R=3z~`6gau#ibIE{DUj5gl
z0U!A$B$)=A3B*2<f%iXrDUbz^<|ZxegY`UG!|uU0Qr749z<;<Ld<$S7x6>6O@Orbw
z`#d<#cCRomY^}Y}{Qy=n6LsAQI}iVmE{3Nb{vBb3uc?FxSHWTqGyE)Y!V|Bk3iy(E
z-AxAg+!9SdEv%pNaF7lTx1aw|4U2aK>rueMK_PD&;hgW@32PX?@0FZRtAnjt7=5SV
zWrj~NZSVmn%DNx0-J3VRT42_#-BJ^9JcHrHOZe8=dM`5mH~raN*a07wFt>aS=h<$H
zAAp%h#Xr4*{lER2?SqS&md#pWr5fiiqp+mzczQFeCZ>OM1U{Ws%2*4ZTH}?Ph99$B
zNPPqsH?AlCfOQg8H<iE%p&yJ{tS~>Rva-&DZ#S1bVup2|O7&#G#z{9cPQrT|vSi5f
zOL|nLzzpVb_b&*A?P6n{f?&Gnuz&t=?+J+)0kA@g-8oNquvs%Y50-G=)Zhxs(DqH`
zz;&Wi(snTO51O$exbvH{_i5PvuwTFfSj#4Y(gptUS5c=ERw&bFBK^(O>n6M4&;pkX
z@_M;4o~MMZaXpvMUp0e|Rr4*1z%}J`TgdClhh(;D!S+FYoG0O?6)U@=u+N6idA9KS
z&FTZTaMs1+?w0VFYsjD-%%Ebud<M3&t#9yvhb$9<Nq_dg@m5}N{{HkW<oy{`zstwK
zUw60nk^bD`&)?mEzvy?_orAlT_GdkS{V6)nlizc%=h>}V3ZE@_y>uRyjCk?s3vstt
zH~IfeWZs2*g`@6@TAYP9ywd01ZG-D$^wLEuI9_9SfH3T96!@9UPnfpvQ`U!tL#Cy5
z;rY!=cXVO8tN-%JeC9q^zl$4umddkS84eOpdg%&twgwBy!Y;>-rbffhW9lTuiG3Fr
zBVjY9?i@jwtstWHKKzoW^TAHo=l34r0$A5!oPRrf+qHJB9zI#4@Qo3!cQrm;2m37P
zS<%7`{kQjyz;Um}94X-9IpG__aO3NLLkpPi$+>HpFT>N{^gof`n-?m0R`U-&T<&WA
z6_%*?yUc$Y_4*xkIUiut%ijigVPWnO_I{Xe2Ti#GtbfFB^bOn)<GM{A7EMY&{v77o
z$2M{Tb_rFmXoj8Y&mS~_b8lL7*TCOJs&<`$-*+Y&KY}M{X~XQ`5a#Ok2XGFjs;dVa
zojZ2yKiE<?=H&%AlZ&=73%+wspxy_z;9#T7gja5y<Gl=@T2%H<h1EC2Qb)kLmWE47
z@Kvw34q<TZd7tywVY>J)Iyd1e@qpO~Sk6?qI0;Vn$af_3^Hol<gdDgiCgZz5EH2|X
zn*~!+w_AI{zTy*~3Sqmpr<oUFKUr?g`*2?VB&!Qt#~Zk_5ze2h7_x`=ekcyChZnj(
z=v%=5rAOO$!6VCsJ!E}hQc~Ia3NB<A&@_Pk7Qdx`f<x5KZYJxM*Dds`A7Qs+=~vZA
zd&BebS=gQB5cNUWVNdzhKd_O{)_6@=WS6)Ot1a?{M+8$<VezYi-?qc`yMGCg^^T|d
zwc(xc%ksiAq<?2ikRLBBdfxN5K5Y0|)kYF-e>UWK49?hfWK9a@Ps(05hF=Hg|5k)c
z><rY7!~PRxaY}FzEnDX)IKY@S<S;C}p?)h_PsI)F;@5zi1Fzk-g)L4+vFO4g*~0H_
z;C-@HMh5WbUnO%FU~4;G4Kw(Pm#!RHPl-KNnlOiNX)rcjhIcL$^qz*d&lOO5!>;Zf
zUUqPMx=U;z%+aLa<O=h7t#)65zgt>ubb}rK)>(wXMvYyIo^aZN?wxD!V!M#SWjI#%
zWmPg<)1R>?2p%mpnNNgot9Nx=g(I(R3rUAJJ7_(Lgv*#xThidDKLMwr;jyR22HEg`
zBL8#~;Xco|@#Ok^IV3xk1Sc%U?kI$lc`HWKVdFu1>jKzjem39^d|kfvTPfV7>v16u
z=2BDITLNooRWlaA@4V+8k^9B0bU$S&ELwDCu?i0F49zNoPuJ`St%LVz(Ir>ISJ<Q4
zp1?bz%w=lfy=$sQt*|ZYs8BOZ7haG^?$51$GHore%n>V|m+&OplgBUNj`;=~az9&U
zZa3?M9b>(Iko%p%OGJ4DzNa8|z6)M?5<NT$zZ)I>*9UjZvUYue&-ck3=!N5~1I~Sg
z8BISw8-bS`l8-OKhpz`89fEb^X=eYy=eYLueuP!;@9d|yL%u2Ui5VGxcoR~+H^Hxj
zT_z@BpPDiYZg}O@xWgxS>a@)A4w%pX#>^BPk)}5$2DhF3<M|CvSsw_JfX&$NuFt@?
zot-@7;nczxhsgMsGrPd72wze4d_~s7RMzYZTJTU|z5ZXgD!(k{D9ml(FtiH)<A39S
zlC;m<wOoQv?eXNcfG_5&f2G8Dd%7x_;w&5+eAaax?U(#iGu>eKBU|Um_#71TCeaHX
zJHf565iax&miC6JW}h~1g{x%lvxmdk=Fc@Y!S~*uejEW)P`kV)>+x-ckr}D*w`}|4
zOmHicj&d68W3^$F1Kyl{b7Kv>r>}XO8SY+n%&&!CZLvDX1+N&t=Vh?Rcqf17FCFau
z^GgsNTs_F(N}d<LPS~39!QXln#Fp{-!~U~-%mc??D#)CLxp{{Qg<<>7ljG$0P1z07
z3&BSH&rgu&$CB^UpR%yb%&vZNep0qQ(wBi_ByJvi4{v+OuXX^=`mG#8&i|4!XV!jL
z{Z<J@4?I%(DeNfxGJGzWTwf(IeV?`9_qLAnZE#CY@(VNg%7cu{<oZqMy((%7uRUR!
zBF`7L#laocFl}nSST(H6*?Pqi?qTH4BKKDXJBRxjxF!F=IC<Wf@22RsgZrWcO!MGf
z#u=3!u)2UsKY8B#st#ni2zM%09wYbr$<NPdd|^YS12N=zldn|Za2XbOQce*EuO9wx
z76jk&kypC`cSm$Q4uH$-A3O|&+1)n&7Y6Sbk(dvGFK2$F4~2uI^IiSm%G2B{*Wr&&
zf<-=Xe&}C|XgEeBgO`kt@A>xVC&J%3*iWB_on<$a#KR+p<K8*I8O4&Bx8MW6H*P-z
zca+jlq{5d%gQCdu$F|G#Q$D;|=L~~6yh%hvBM)w29t|{ry*iJ|KY%xg9&6BpySH<s
z6v1m2Z8Aq-wOewLm9Vyyq?bB;;`N5F<?xMHg<qB6UJ0(D8u+^<)1LiszUim^)v%}i
z^*d7Vj2b;p2Q2?fk4GH#Za{@Ptg`1tq9ClHJLKL47YYi$6@b%fGP+;ED;?QdTyTg$
zZqqwB<mz$+2V4|%hW{<h8RxUY2v@W^vJAs*lwHbO;c8|f&p|lX|5!N<{83uKVI1}>
zx-&xsKX)H({Q#%Layu>~o)|gy>i#d-`{ctf3-B4wYji(h-V3r8zu>iIucg1R%%&^p
z({R_3J*WP_yJD6ZKf@^(x9hIJZWF486Y%Lz?L|xQy{?AVA=qN7<PPN-%;!H+(2)Ie
zgbZv}Dd1ZQ!M?9yGa0pCbg&U^LroVf68=k{7T(sbD)9{F3@DIhhgaW}l{CY=!iI_4
zVU0HFUA6FpqHyR=*q_4Dz8a?Jc{RZe(^`M+FNJBF?)2`0!%uK<l)&mbhvfv|lRML6
z^5BH+TSY|SU2oc7<-oJCW#PMFWvXLpBwj0PqU@>&d-SC>rNR_~gU{t*PGuhXICybq
z+LMEDjKv}E8}Rao47Un=d2icyvOmxriu-H2Fkj!AYcRZ<UB&tsoG}>s!3XYDoiQ+m
z2hL>hUWV^$hL#$^sXYS8=i!EDV~Mu#R}(GPv#^rj`B@uSb-pXo4rV)A*Xs@^_J5+Y
zfpu0j<j%wX#peP{VeW!2!rt&MW6wGh_~9|Pa4+~o;>tc<n71p(B^1s*wpy+YCqCcx
zJOsW_A0d1QZvCxSoCq)U`Q|IbyVN^2CBU`;G~BYV(0Q}fTks>*f2XA3jpf~zsj!1#
zSoa?IgWN~e0$5ee&OjJ`*==$!4~`G})v^;V*fS9S0Oqb5pxOZoRcZe&f-CGCeOTb9
zDe7;Zz}v(m78&6)J|)t%u+i2!H(FS5gRo#TEMAyiOaotd8+)x0F8wRYzlwaqAd83N
zYq&dgB=aA9PNlc43tnJ9zkLQS7AU$u3b%1?yEzTt&Y`0lfm1tk=s&|%56=Dj1UH3V
zI648J;eBpC0l&|ttRI47?II4$!A}AbRQln^dq-~1z@goO6<u(+;-~ZU4ww(I+FX1N
z&oxMO(Zb&Le?B+DAws;_yzrUC&3R8?v$J*^cwo2D9L`GkcUr)8E7-W}23sENnwj_A
z0{*;l?{%_&l0;%f<~8_td|e0GU+GL#hFTc>-g$=!X?Kg69()Shc5GydhYM9^{pw-e
zdYklH@ZK3FmU&oVU!Z9WENdxMwE%Z$ycs9^1KmtnKPBRb<9l=6G8&c<kYCviSH|gm
zO@#H_UX&ZccV+r^k#@%*R^#Jv$S7|qX-{Zz5O#&TzZ`TU`w7X2J#9Y=pXd!+xCt-x
z&J_B?4wa#oNPoFy!(#!kWa)DXvVRd}RVL3(m{qNyj`V*mvAHn?wz~RFo8+&Q-k2wq
zz$zM<G-+^J)@#`^_~)|^@ma8xEERhryg?vsE9tM?bgjAx?k(?2%ZG(dJ-+=0KByJQ
zo&%5P98!J@@A*`dP4-(_I(&&|0v@k4;3NA{oj*$3_z51iiYg-eH~EeWluyBYE_&Zd
zzN~Fi?eU-R+_$hxkKyL>e)V~Hl;=nl*$--J-ShJTeBJwsYCYUnnbfxqbM(pwK7~IE
z$@y$>!uUvaj=l|kJZb7e54T<y&~AY%0#+F|!JG+ZZ(qVrdi;ot<NFkc>9&#mtB%ul
z-eHAlc$M$;z+XSj#_oWfmnMf_!!Me1q<CPn2V72r@PU$-{KBwNMN=NRe!0tnTSQ<6
z<vFP_*uJo+N)k?Wz3EQ!d74*uElR@&U;PdH1sm`ge^Y|JPbIdJ`^Wk(>vd(=R=UZ6
z<o6VEG_PpDg5S+!Nq#S%udhK1=KETiOYT>dOIykf;Gp#*6IAdKqyPRKhqb2e{9}bP
zbSFQbg5~W+70GyT`>*p$8~FOp!a*^(T&nb`6TDeel4CFYI_hY)8|*E1zlP-ZDyY+v
zyx_ntkwuc<v)QWa>kH3vq^FVm9_RC1*I?Mykad9M_g2%y>J#8YVP0BgaA0deX&Sun
zay*PYKT1YzsE1+m>Mk{E%pVsoxy*lr4_b3vCG%n1tW3J!FlBtwfF|th*S53(2le-`
z9fA82Swq+0UUO=7Czw`C(|e;c>c3r;gB@Vk980TBu&aiJKoHE5mTJHPyL^v19RTm+
zKAp@4zh=1W9ScWSXNL2@MvO12Vqng@-Y@xKY<u(K4!mpPY26-pTkskkiMMHsWm1a6
z3W4;z4`3?JsXwxCj;g3t5qz=GK2;v3bddO3N!oMEqYlE{20FqOa7jjSml}L=(m=Td
z{&|q1=_veD($TL8mM^$we+(YUcA|L!A2Ay|VGL8U`l@%pA)jp*P2iJOzFj2#cq*sn
zyCp2L5VpA+{+!w;c^WqDza}sSJFdzIIK%GU(Wgh@M*EId7x=Ja<c}{fRlmsNi}1hj
z=slld7yG7@p0L=T@TzIp72C@C!+|QHvm`z`p3?O53cM*eDBusAE+jM_3eU}6eliR1
zUF*0O4i9Yh&|HRZ-<I%>g-;YXg#LrI)A~8$;n-AbMoPqIoz+!0-GVbu>HR-md%$`6
zK^iQ|e`J8fbLsfZGPB^0&5~@i@W!(Y>N#+Bp->hhT;MV$QVCDA{@Ae@Zt}`_Q3Yq6
z8!I63V|s7T(pI>?A$b=wd_+z0_%rytS40UX%y@)Jp%0E--6P5dd%hkS?1$&;xE}Jr
z>3xstC*ie#A}Ny36BoE)`wbS?x&34p94G3e`447R<5b{-PsnS2TY^_PHa72uEj?oz
zx49tx{$iIu>3?wWvOOy-F|lQ%7+gA6t0V?nHc&SR!zGm!BjWHq&Z(o4FniH#)e-my
z-&0CaSgvi}Obb?dnt4MS-jyaJX#*GhJgO-U+iub5ISv1OvG<J}%p*IIeic4EAlxni
z8)i_chQPz3G{+U->0mjw+pv3#2?Ke(gBo@<>F`@#shdjhcj|=rN;s_8T#vk-CI1VV
zhj8B2eFG|R?$f^vo#gKoW#UPGa=*-hk}g<YkDgl%F0rRf8ihMF@7*N*GjAKpkHI~T
zo_r*~a5~;^%Od<VU1s1A?9bm@_7B!tp|(E?=lx!eV0Ojlx4g?m@(<sJ?e?<3hgRM4
zbm1+b;gow}t;i3SB>#Ek`M*3dILD=ElH@Zif-P>z!pAB*1WEogX!`8|dDzD_sg&eD
zo4%#-X~I@&jeCq?Yc}pyEjXSks>%X>bSmhP0sJEV*33zmt%T;35&UfT=_@4PDX@N4
z_av-3>RNLeKIXgd>l93(yHCRfeo*l2oh$6Mq*(6&pZR#o#|_@?xvEX_ouv&eu3qpC
zx1}(Wzfs}0+UgC**VZwSe5dH94vIjycKD&5Cww!>F*gYQvVM8MALfaEn-T$Q9zDC=
z4|dysSt$w@QWwh%fn$}wh$X<4Ra_%i;b+_8UMIp@p+in2-{dDi(Q+H6=4s81fU|f@
z95djfEg_O5-#K}J|70#K5$5C;3sawdw~`0*Q3x%hz;7du{(1n5eW#Ya2~WS>kW>nH
zC^gmJfz|1K!ydycx*5yqu(iMZo*G!i(=0p}R;VlGZh~(-5O2wbEloWdn&C@@lX@io
zR*^eh{sR8IsV2G*{(R=)iC3`O$i?jy@WTda?RW5k)4}6q@LK-*k6w5u<NW(-Sbb~I
z=m^}{RL4p3eYVwt!sBp@g{Wi)Jl<Bw@ePhUJ9YLM+!7h`^gDdcI%~cQF3+YforSeh
ztYtdk#+b?Df8bi{ZS}n{Tjhl#EAXBA7fWwpvsUA8t8k8GK-hbjbzyXv<}B71pQM_H
z;5f<lAX<2r`A6LexcIz@2P4c$mk>1$J9eqDF~f33YOLSk51eo4uw_T1<endfUx_nY
zin-voTDOOP!=;NR_XOZ>Eme+R@N&Mcx*)uGU^;sN=G`<VCkFqrzwzNOTsQW9P#jJd
zS8`p0rHnjY$-!{}z4<F}{=j9{{ji;-*wZa!|KDHRXw_gH`sT$=Fi#eD(P7w~$L$&`
zyx3BGM+ZJSx6-f;*1YpfO&6XR$<yJ6C(ludSi){EYFgOgKsv6MR<K9IX?;HUz@wTv
z2bi~iBAN%*_UW~Cf>X1iwu_K<>B}bWu;@7LaUu8__pQYXFk^7>dvW;t_<<ijaMV{J
zPBHl3tZkeh{Lbomjx5~MsPB{r_k7|yDG76n2X9J-P12rBD3JaaG@rD<o5QB`$m>nf
z#M`vN>g<sNa`1za^c~aix7}Z9NV{#%V&hNvg?&&wX<u$_y|vK|@z-45BU12)x`YZH
z{BCDew<3Jq__P2AOuvI(oAe(^>UqWqcic<wQGpNMqbc44XT2TOQGz#ST{YYbo7uYe
z9){-&s^kv9FJENpslxluDh?^b9(IxgTCiK?+gBQ}m!cZ0ChU3F@}efJp4W9(AGVnN
zXRi;_<O~n#!eTU$bcQg+XD5df@KO1;X&ZR+F0T<IxQM|r(H0&(zve{te;$}z4t0U~
zOILHq{?E*xQumyNx4jORu!YB7?cd=EGb#qV+Q5syhZ?<LE(!X-PO#(Wz{)G|tGYEQ
zN7!zkka-~dGcxSSdDwN|OPz4o^pN+08*G^8{VM{F8Cwp%1W%Xoe2jy$8Yb&J;a1)5
z@C0~D)=iu2S3PI%>zf7_9Wcfhkg#45k>p8-H-`6Zy#}w1hEWy4A9_>5gWwxyH0~F}
zU-xh@N5aNz88@E7tfkK)L*e^Y_R{rm%VtfM8?YCHBSRm&%2f0$0ycTDzqB9zTr6S~
z54#KRkN5?14mnU?hu;fwip{_RRUcxL;69h_)b!_2FT${(77KT`Y$#-aT?Nj+N`d9x
zEnO9W6SAy>65#r%IUzy#{z4D^ZCE4W#&304iA8)d5oS<Mxp@Sx8NL&e4sU7}I_&@p
zE>&JghUx4M(m27>vi!>#aEL=ocQ|~&bnfd-_`%W-uSj?wm6hjRIRAHyQ#_n~?^y}y
z&t6iyIT1d|FS$PtHsfEP$%0KY{*-3HwV86MIk19=g%a6sd|~HcR1sW9^Z3$zxTK9$
z@&Rn(u!Eu;Hq^3at%J{<dFK59rYg^_sfYPH_iT6sTRqe+eg+p$UskSyJ+u;yI^b=4
zhn_u!OH7qCUK4xnqI?4HVUGIt1{MqpjcI}79u0Sm!#m9AsT$!OGBREhu)K%!jSg7(
z`H15Wc<)M1$1_;vywc`rc=E>v<8Ju)TGVsa^O)a^fA=Hp$|t!6Szz9&_}^r|bps7c
z`dzS)`CG?Y`0vuBJwNPl+wVR3|B|kTnC^j_BU9MRh{ZOSi@@{p2X7R>PouJOB+1`@
zGVLJ8)6t^BTnv6#onJ}L*PZ!;$7Er*-%o#%^Q*VxS)MffoXz1(G|UsHcS{L2-QshP
zT(9aTC-oFy`JRsG%dj%dfT}8d+<35!+%G%de*AL)j+GKEKLZ;!n@_64hm{ql?BKt*
z>@p6)efy&N$^Cx$S$C{9EZC8}%@Cf>8&E$2Z|eKJdJyhnR*~0(XXk$^lJSafN#n;+
zc<;_bf@Hk)$juxvg3CKJZA9VB6T1`*;r`TL@A%=yeqT{@*pPCLk&O3ytFC-7fpa*H
zEN_Jeyk5Mqggdrq%5Q;rGIhi(;02RkMbvPCViJ!%%t}A~g%VCY$?R(ji$6`VT*C8e
z`MJqi7x<`TLh2%%F!s95iCF)@7V>=ju$!^k9X@kaTKgw_{5ADCH`q-+LS_WEFjKPe
zg4O5z&kw_gzE;+Fz?#v*pL$>wtxrXMu+T;hUQ(Yl)@iZP7v4(Wl1%0gZ>b{|ufi+p
z<=tfda3FZ)co6)e!tw~IuM&+HI1&N37i(R83R_a9+zW&KBj)~A!aCm`CES4H4h>6@
z`HX?l?y2kW?udwdGT%AOq%oQV8?K)nFMxNRuT)Hgd&)V?NWBpU%?r`nFzdH}31q(Y
z##|xn7VJ-3KuhLh1MS+EGvR^N(8EcvH*?jSyRcxSbagZwXO7ecT%fXLE)tG#O!mov
z_r7o*y$nB{N_8!Q;~3O9N&OK|IYnC`+`jo&EU7=b$hiKf95&tD`ur^X^0@<Z8SL)o
zp-SqH4pZ1rRl^edHT-Ph+hr|QkKo-bbHB`C#fHZQ_3-wDCQ&mu*@5f7r|?4Gg-m_e
zMwdRL6=r8u9wzgBcGg#hO>hl+`m+PDoKnT%=kS{k_8Z80CCy^nopw0+4$Eayk2G^~
zF18!~A~;x1)>Cd5jlOllk@`_0A~2P<_;4@Gee;-|5S(!$O70zePjsb!2YiY8w8(q-
zvec7p-0(iS+TbC$f1g|AHrP1sy5~oDeqN-73EsL*W%ma-?qYPwI@Y_j12kNd@RKI>
zZ>w;#nU&XPcuwiB^<TJkp3iX_KC4rdHV0F>c{l!mgC(sP$$Hy*LbhTK)>~uL`34W_
zM{b^l4;nN#koA4iUA47;u<gjjC9=M!nE6~W53?-veeQ(4ucqX#!6r<he55|f-Dz@d
z1!fwQPa*LKqwd7t)b3axl#jh8@rR7!aUCjH=Sz}i4g7N|LU|K>EKn)<F}!Qnt{GbR
zuuYa*K71ml@gpOAKIBM2F08q-S!FByO5)!R5-(XW$&+A%?U-+y-G=pYe?_vwDSPxg
z6X2`8A$~jH^p`(q<Kfv~tdg8?o2SWKAS`BkkB=Xw$oeHt;x~q3lYYGLoK$X(7tH1D
z<|YE?>{K50fFCMUJQIS?an2Z%`XAO)($(Vd&9<;uXINsJ_ck$DR{Q|<X;^s643#Y0
zck9(bYq<4^w6!#>>lRXV0=9^|Z=eKUNM-tE42Q^mEmVZ7`<|US20s}yPd^0PG#TAH
z3JVnU8mPcokL#lq;p`+8wIgu4xK^7y{I$w2T^&yTw5lWlbNY?M9D~`pu3Zv?`xH;8
zX~UK4zfW_+E(c4c4dH}F&vZ_Ba`;<}J}mo7l$qpf_tzc_G==ls|2szNd+hZu517DQ
z40cT<UwoOS{kbK)OJ{VM#M}7)lM6fv7tiZW&LN-Gkafk~7T(d^&QJ2SS``(~ZQy<H
zf>KF7{9(wSS|=EV2X9C|eKl(Lc1Kunq(qD4+f`*8HlByyiU@>|eEqR~si)oGFy`Tf
zcd%n+mys7d%zaGyEqw6)T9F5Q@*?$pQje}cweOA}Y<}S4M^dl;;ivV24}5<`)VvX{
z6^QwI6*dV^POOKOXsQnf!RIRV=}3LU3iFsu1pIuZ>M*HqIQfG<HViJk>0Vs~)4UN2
zx&b%b?U^O@6q;EkgV$lNoEy$0UmFw``y?IywEO7D9XP$dZ2N6^zXOdisi&_#G_p_#
z|1qj)Pk>vx{u$kef3~@+M8R#JIAp6~Dz2>+VesoWlCh8Ag0@#80r2)EE!!@5Sodxp
zsYf|ja^lG=n0m!p*Bw4kZWJ^HcZ?sBbB5np9vAuvGf@RJko;|mj6UreJhT0s%sE*2
zuGxci*jROI{Ux~Jh3Q?|3y5camtG|GMz)p?8uYOA*Rvs{p5=#vqcA6|aIIjT<cAX?
z172~#`H`bngJB<qpgI9q!sl;o5RCO0y)gXY#p&*NxQ(W1NgVcK^PngB>S>uznUe5B
z`}`!5&)yv~ouB~g_E&V0<8^g>yW)P>fAO=~UD)L?{~k4XYw~nL2E0_S-+dSskK)~t
z2VdW9*{B0o>k63Wz~--F9d+S`?Z#u|{KX!;Yi0tgZ7|{@^<DSq`&LiDl6SA>R={4N
zlRvHCymH^sGPv7Y@TLuXS>V1i$?qRpQV4f~hpjTQAH&~S{KQ<~`0VFm<ocSs7q{~w
z{F$c4kz8Nq<-D$5@Yg;j|8Drlh?2z>m^WpqsuM2njoc6jy9o%XlKPc*4EeKR@HKh{
zUvj-uivGJ50T;Q*P?7tg%!wm94$k*sQ5lAhm0XZYfbSI_XrF+C|0M9I!Tu9$8%RA%
zyxp(%+py*jmFwSOt@3R(+3@mF);3Zv@kaBKO)h*>NXdZIr)<1?+priGD&7?J3ud;U
zTzCLST1c@h!e62d2J2vr;<oTV@Fm*Dpa$5){wvceylHImLOXm#yjX|SZ|n}WVt)?n
zR(HOm!gwL-5JC3_*8DGKD~Zn!Nl}*ez`b-2ZZW_bToRc>aH@b)52+8iv86=wJ^aZe
z+>(q>r`CrRKEYlo2U5uRbcD-x^fT<6agvYJpSZIobWg*tXc$hh!4ziP-oN1J55k{#
z;P8`rP784Mg`S-|;g**7TmHc;JU<JB;JaN+>l7CeAMHyX-v!5=&dZ~O8O%%1lJWG3
z=Wq%GoT+G(CkmetzofDmK6k@aQU)H?ejvdLH{7Ik*#~Qi>h^Aj<?DIp_QQ1g;m>x$
z2Y)^mBjdTq?`{@;*f{+2Au`^}S25D;frpuW{IuW&ui7F}*gN<JwIQsnwvr(YKak}<
zs85`2^<55LJ*9r!2A<fOH>?8Zy1cw@1&fthgs8$N_(r!o!W4peo?38@sja~oSY3ms
zNe5=#6l#A7wmNyP;yB!tvEhy<eDvGg`U#j(k-t0?F1o8dV+FGbrF{>96Z@EN*}%#v
z1zy+T=B7G7ci5^jYBB=usEOmh2tV7Ka*;fbZ~XeQ%@-cFpeQ2w5)T_@x65#S=^wsu
z`0)Vcp*UE|a%bmN*nvqf?FRg=ibdTAwr*FmegL27blH6oUXn0<Tm-W(*xe=1<G)(W
z*IVFX_X9fiu-<)I={9(5O!eJacwJih>l8d#YdmWQD{?Ex{e=H@8ebvpNotdJ8$B>T
zuy`gyj#pFgDm@)scE6?kJgj4#H^K{Zonf?cf!*iZL-}EyDf&tBc_LL5oc6)e$-*Z|
z|ED+Yw#vY2yLczOVUbw6k2-L;&7N4&-~8aAC|&r^Ze9*QSo3hnSxdNDm?@g{kFWT-
z%^IGbr(z}fr`cSqzvtlWy%S-i{@SuPKf@hPqU>cP=jZc{4>vBucJ+1I<oqOk5ts9Y
z6P-(XqTxe*S?p0T*DenYa(=jeE!IcF^KVag#lbSdvSo>IanAu-a(--_;?0ubTGKrV
zDKM1@y;3f`mhy%&33fhlemoC;z+V@W4u4}P?s)*q+ef#h!Nsy{ex)!|lb1m@oH%ph
z>|>ZxR3$PKu2yf`Rs&O52yZKd*Jx>}o8VJFzUdUeg*Rr7x5CCrHP+Rz^o*j$E7&LS
z^8f4G(^N{8-oO#fd*n#|>iEF=-a)wc!1%c?_=Mo2#8tRUTtbViPa0KCLTNlPUQ)jf
zBI^_1$5gvE!*}i;DEJSa$}VALh27=*KHP_Qdv|W)gc%b~2Q<S0X~C;}@U=&O9yY>p
z8Y+1Lu+Z#F)#tFf`&^1BeE*<@Pdl7>-}{R={NM7%m;rd+LwZ0C_RNlN?SpkUECngR
zUAr9gKfud9k1wjiw`abEll5dwbSS49Ja?py=?ffdud(SU+@z#(^b>5O!B(jQZ?$85
zI|Y{u4&)w(`vamk{eYiKl<JzmTs{^z=U_)R&x4lmSnZq68TiFfgD+Mvb7YnoS^t(O
zZXa-fU(aldC+lB_oAW_V@UMh%&J9>E7q=cg5d<IS<!)I<`*DAT)vNHM#V@*KeSJIl
zXlo|CQA|%_73~u)dOPmHD`BCze_+arpqWQ-{Wcdp5?^*t3{R_u_Z^q)C-LQ)$cN`&
z!;uWrL9_5`a|c@wOnt44p1fZ|lk(CyEF{9|NBaBLnP*SHp?O186nOtD1)X7Y@YbMx
zUL^j^=rAk(7uKMfStXy(f}@0Y74C`OE>8u!t@pRD!R?c88%R7lv*u>aMlZ~VGv*fP
zVc8e0wsi1VTUjuPM<2T$YRm*nX1%Oof?eCHmzm+@I}z%f@aY?V)12_*dw2Xve46Xa
zPnDhU?U8M9yJ11SN0LIs`**bq!`fE<yG7x(_j+dz!3E35xTN8MHnR*8FKJ@B{6rD1
zdn4U)8tw=*d2k4}@RM7%hW$1d=xf0fy0ikpu(nRZAp>~tL&{SmKFQN?F4_#Pxpswt
z#MkyYIA5`WBSzg1llU5!I1`T}{Q9Z5%L`aBhn?v>%+b%8MdDp~{41v~!aKfuRSm)$
z6zGk8;cr$JQ~mIm*mBMl*z-i?`d8S0d`n6wTrZHUFbU7-Z<&mMTi3qoEW)p{g$Co`
z5TVwPdHA|+QE&qML+;$>by&2Z%`**Fyr!<P3Um7#?nsAsJO1dTF~j+O@3u7uULSl)
zLk-8e#@gh=cR$f{Zij`=mKl}61LeJjEU<}?)>0`PIOsRT4d;lRoq7x_cB*aTf_E^}
z-mHNg+CQfYz`WSzt_e;bFL=ubhjv{UXoXX`roZfiYyC4`yn=aR3wfmAa!n1-E_mvd
z&V5BVY3ZUvAN<9Ua!ekc`o*(#02cGfc2R{d{ijbc2H#RVk);AFyr3u?hfQ|;5!Hn4
zuS=(YgC(i5?KI#A<=InHungnKr4um4wxQ8K@L_|n2gdMCj$0A)aQJ0@1xq+A=#B3h
zygJf){uF$xELni!66TKsHj8#J56^2>IylT>P0|)NaI$mU1Y6wOr|tnSc;=Y1z@}j@
z{4T(JF&-PX!<Sp_sC{A6dk^P!z@4w>4_t=FAK4t?Bkf6o29dD5%YB92@W;i9@NhWW
z`P$eX*zt-sQyd(`-_^4Z7N+abx&fygEAf|ssjMB}+=Tx!ET207voQUjONMK0#@JNg
zql$rv8E~qQB>fRMk7@1sZMf_ajfFOBlgB?&1ZQ!d(ldlB`qEkdgV)WD%^Sfo>SA{*
zV5gR>uP5QI+gZJ3@D0&h2^MhLpp;DwY0vn5%^vnP%Sw3+pOlyqbAaQVCHWfRtb9%0
zbMXDm>1Oq$zr9w+d6?n1$oMmu<6};(H*8fK%h3kcJTJ8Ofj3^@%I<_a_32En!pWzv
z48DX7Y+2TW;ef9j?cc#IQ=T(Xu<E+~?H*WEH1zg$*zx4_u3>oP$(NWU_*BXfi$T~>
za7FGW+|=CpX&k0x4_mK-yQ!&~hv0p>wx*RZ_0~W|@_M?$+YhwB4(l5Vy5Rdye<U=)
z4C;Y9$>+cIP&M>995-KU(h4^oVI6LV4-_c8d;+(z*mriruedK#){^!+a)Mp(mHj_`
z%Hh#NL2P|6m%CtDDO}!aaPA%H|1V3p0G?J(ws{W+{C;PZ2j8u=do%>gd_De-oZnU2
z?E4?#<$EEU(&6Nw^Xp@9CH01oM3_DM{>)c6H9)*39u8nvz4sZu*C?7F1V8b<kT4Bz
z?JyY$faATCzW#u%^4}U?f~gA~hvwkv^Gng5a8IVhzFGKSt?!1jaNvI@b}hj(>UR`f
z;A0uwev7ci%8t_0u&lp|8-+L4Z(1r}tYI3b4J~VE_i(GTG=-(Oc^+;=yPwZck_o(J
z!`LPo_&I|GgDxBpy|B6&-Z0>$rURdKeQdG`HtzrXSPd3_{#=s<u6Nk{i;NedIT3f5
z;VnHk928*L{^U4LxRgIDLk>18GW^00uPq6%h{IJ?<^#O&`%N-Bd*P*!ZIV2&$nl4b
zWPB^J-Oeuz9~Nw0AmbaaXy;`?_<Fy_c@9`&^o0w)@Z9*_RX>jn?*FU6z6V~_F-auj
zFWaOT{XUreoW*l0*i8PTjU+stHmbUe@p^sbjgbO;IN+oAKlqAf*nK&ej@@zkH=Ov<
z{k95R{lro57aX|qR!a$f<b0la6#m-#aQ|UgI>Sx-J#3lp7=H+MEB#&n7FIu@9-<Aa
z<o@{k29^)VmOKLQ()jbS5sq>3=GTLtwNG(2z}uPxeU8BwOfJTg{LpO3oQpAWnqxc3
z551FIJ*N-9Jo87C<iAu?8*EHrfsJ2n)8L*>JGPMiHNSuBN5Y@Vde=_DKlwg}g~Q6$
znq|k~#NJDN7O<A@R2FGxUv=C<@||NpYgfqMZx;8QB>7=34x^tIuv4Htk34)Np*Gzd
zX8h^AiR7ch7PW4ihE2On5ATAVua_xV!L_EAl4SnTC?zN60RL>$awPK)hmnjyTbSBO
z&v+g4oykUymoBihgM2iZe=VLu`5Ao5qlSXy>(8<tX1M^<OW#u<^FfZnS(o!Lcd<YT
zsSmh@;%aZ$NSx;LSNL`NwhAv;lQqg>43-xU%DDn>G;>ZIh4((*yW|It|2IWP=CcX2
zi9bSMsnQPBcd%&ew_8Cl_v<%eE$}R@c60>nVP9n51mCT@qYw(OWmFlGdW+#pbGu{U
zGY!`xN?<Dbzhb0+<sQx-$?$&XgFJC?&i$YKB>(WGH>W!s{^}p>;S3*oFxVIi8_k*)
zI>I?mT6nL)+qX@A5rrSVA7#1@4{_D++yf7a2Ja;QPwK~m+V8PmXm|44N<L2j2WQX_
zZ1-Eg(I38R65m}4ujR{@lh^wg?7Fc8-n=F1VIVBbH{p^@+RxhMlh3nI_#`tCE|;wR
zFBs0%k)ig5c@-kkqhQ*73<oa50%iKM<o_%8i1`2d@>DF_1o{6)xGcW9p*@N&C!QP+
zT6WW33;3$AU2rmdMqgy}DVXBPv_t~@*iPV|Hr&pU%bNxp?U|7z@q;}D&fcl;=&$qn
z2jQM!PN#dYo{!RqGW_XkCTj+~KT!U~UfB1qHcc)(d2^kD#5XoP?5fCwrz@AINqi;Q
z<$TV4_`|7YL3a3_`W#a1nBT|OGn4qRnqsut16Z~_M4QBiHA8xikpAvPD@7#!B*teY
zUj|zqZ1_mxPhrLr6UDITL~VCJT)5BST@~y`<G+!_!*YVY2baUj&E9jZFxy>wj~e)m
zr>tlTY)3Ej{4tyuTaj4{|699N(*Sc*p6joM;~mVI>fz|9A9^I7cU-!i;u*ZTAv?4L
zK9C%0)(T5j@-LJ4A&riy;yd_pN|<vt9Luydt_PlNrTIX<e`B{@`t)~rym&n%8UDL1
zjD8BXW((L%;=LIxTHlx9wuow9(!cz5cG4=G`B#RDydLW#2d^!cG5@}6b%De)E2UrT
zWQ41k`v2v_#Va?~cwmm1pN=Gc`Cf6kfDcY_a{Nu=mzt9eky5Zrkek(gc=Lpuv^2bT
zY5WWM|6(qs2`IrqBGx-gVYS<=uMWV=o;~>_URf_UT6_$?z+A^d;@fOocBXnTpPl5L
zr|^GiVhUF9UwJwP67T#^rDn_;etq31sR_=g=6&M`r?HPdZ-6ty%Ke;Sp@VwH9q<Qg
zuCo{5mERAdp20tt%2+*M*>Bt|B>s6RkekL2W^cKCl*B)i?>sK?hv#EH_4LBFLW1|M
z!4o$Q(3AM5vbOVVIK1o3wjH10dDo$jv2akm{c#fST&5P2PlUa_6&y%BGPgNL_%^I4
zdM%yg9~RzH`rUztT8v9b{4qi7s%sv+`a12?2DqX?j<o=$ZlE|%;*Y`952;IGo;kH#
z5`TR4VXt`woW#84G0B%i_Lphb!i#scr^)qSui!EJ1h(%k_U3~NWd40@fgfI*C?@en
z@w$eXHsUZ%c@bE(PCK9z{&m{Njl>&wUSJjJhA+zw{UzVWHu1X0-VfiArxhdd#(2XE
zO#^V{u+u~G{q0*_k=b8i1A!`j5?@?&wbT6$E5F=UMB<A_`8M)U`k>y&`-~pxAI~z?
zP6b<^XzU~Rd*hjyG;a8c)DIs8c&a2&eJ31sM1%4W9FxwyT@EfX)Xr6cGnKg-<l+C)
z?~1F#*WQU`YQkc^*V9ztE;(5pZTNNj2LUqvye!q)YYy|iuZ`7!kH0bNJqe$d*utR)
zYlyo&a)Et)`>v6A=T^qB(`RA5Zs9G*;WL++j6C7#o7Czg-q{u+vFru!tTTRP4sY+!
zdLIgh#o%Y@Nqf@y@Nih}v3?VYcUE0k@s5R;8+aDTcuDWLn?D}@_r&$;8Ms2Tn)wzS
z@<Z+siT_nNe0!1xzplQjO5%SP(>L8Ignyi*FLHw4`W?|Kf{R3t%U*y-yZaR?;X@gW
zt|Y$qZ-DJ%6@2)h*&K=287-)^w89tdTdhg_bht6>+%xzs9m7`=uj7g4vhISNpVsUo
z@xF5bPIRwf2AQ>d60g(ISzGLf4Yw4&C-KiSPKG&y@a_{+4pDHQ!ndSxn8!3RJpyhC
zJaljZmT-S3NaCx{jt@)xfV)yIog(qO=oW>+DR^t}qX`nf<4k||{11Gx`#9%K_^F({
z*F4-AotS+Gt}*vGvC$XxK`wP$Zo_kx@7HPJ?;^`7Bz|YU?*E$+-dY{?ip1}NLVw(5
zh9|V1ognc$%eOJtIpO>@gX;ybSI7o=ZuqXvb=ESt<6W-sE_g+mNryZ?`ycSU5rjG2
zb>2RLGpJgd#9&6x7jzHd!j0-~67W%Ps>C{Y*yg*XJlvNV*!~3m5p$ka5f;Dn$gmX-
z`^LVgO8P$&3vY(+9m>j9gP)wWXM73Y&D2dg3Oi4{(|8Vd@DHmTgQrh2biILv!y+Y&
z;oXbgRIg!2sU3qRaHDEb%mB=n`trFY97@g7+y@7^o$<1U_w3X>_5qIR+wR~9d(#zO
z9f3FZRWdrmyJv^!zrg3zohUBA^Hlp)Kf!G07>X{!mGv$iQ*hfzL%J_axzN1&9lo>A
zS<@eW9x@v~2eXIwid=`MWm9K<!Q;2Xdt%_smR7$-I6LrQOET=E!c;a7?~5<yxCMVt
zcW$P|d}nHlD}5%+bG~GO2Cioismg*!RR*tah0Cvh$t{FK<hdSghF@3QHz<PT`qfpp
z!}Id4hbm#c`5-SA*d=n`k1BZH>HaFIXQ*fVJNy*(dhkJ-3%-86DZCzL{Jrt10KADU
z;_@^2pT+(eKA2{HZ|8HEM<9$!8us8?sCxq+{!*?e1^*Y=?fe#Qcj;?Vgq89$P7cHR
zCTsKZ#AYW;M`5K54SH?(A%|Gz7x?$6<3UZBS#$pHH@IWte}<$U#4D@o%M5%!>si<d
zcsL+=avtvI7Up+{DHyy5*5Esblub!J%4TzG2}(cY8ytO{17W_vBfJc-*hJ)=E3j0I
zA|E5nHZ-D`0&kz#&CCuz8Jj#u=BxLQOFD7EGSoY-=E1@0LgoVSJ3Ib|IdEX;k&_~@
zdf!>YI#@AZLq`%$u6GH00*flTWJ<$DA5v3a!J~8M5|rQx-uPE9U<Q{biK=iR<7+1p
z4=y?J{F)YgX|O5dBdq!5o5WFAKCM@X#Dk}L|M42ZyP}#;eS;~-HN8z>rK6K>B>tP@
zYUyMN|Bdg;BJtm+bC2q5;2f#nl_VZ&%HC7r1Pi`?^OY99#iK-X7IrcCy~F{Fzdtqa
z0q1JIk|goZAMcX0yx>sbp=w^(>*nLcEAVUe^68zh`bC9rK`@QRi**UO`K8TJ1iV_E
zE=%fTKa}K!MZt!H`E_!z&gR$N39!DG=d28z!o@9+1nW5j_$$Mcep)Q)u#xbQG9}ot
zDz!cX{yV9+Umd>9{;V_?{@2BHUJW+6!flZcYuR!v9EDBO-|{|#%M2EulX_W?--<8W
zVGFI5<Hz74kuPzRaOmM%LK^T@Z;wx(;q1`Vj03Q<YxT3gaPD9i4XM{n<W=SV1DBh1
zUm^9v`pK79sr)g2=U)807yekfXhaD+_WrXZ>%HDTTh$q0mp_pSq~5K2OKd6~Ji&dP
zj>MO*iQJ21g8Nt5RLJrDs<LBbE8LUFSw-sK?8SC>vB8fOvcGPIl@8?yY==da@@z=_
zJCN!>mYwkCY|&&=|8}wV&QnhK3*WvFk`E|(lKy}nR^zIAMB?+>DY2$JFjYluE?Muz
z^<L8whKH3848Di2?3>Xb{SB)$4wCg9H^-3N9$4gFiw9ZXQ5I>x=YzS2y4%S8QM-w!
zb2t38Nq>plAL8^k+?e5CV@I#-gui_H=1&g~mo#XR-*ch};d-%%;}?+|K264JmH*NP
zf5U8MzpKf3{<*rm_Y0iK`Z(kkeCn;n=TW%gGrK-{el02#jlY9?g<r9g=ee22@tIff
z9X7!Uk}niH)_b@K7JOT^i_E`FKO`Nmfv>Sp{gQxt9@*=V>&ZhX_!y~2pgv-Iid=6)
zgHPE=y@LD8T;mI{uC0DQ`M$L?^OU_a9L;wrn|vSJ<WlD*a=-QcJ|{rFKdfVRWCyt)
zO>DxZ-Qh>g>um?%ic#5I@_o7by2L&iIQNa3yEx2V5WIIceDm#wQu6&+K_M}0c!~8q
zCyn16Onp>DnGL?T@55p8{Z;L%&$?UTOScBMG{Y3!DcNNF+TDFtFC6xwbE{m!_@*6Y
z$q@<P{c_8C7S0~ha<ziZ_XfFthvh=0<ZNKe6HaXtusQEhCKY(m;#40Qf4##+hY!MD
z46b6ma7zFFM?2tmJuWJp@TnD+U>=z2J=4Js*pubtXKMJzYfghkc&J6JY$F`kGHCDw
z{=3nQbsE3NI{WFzY4Uv8roR8fPxxMAt8EFaT;ZYK3wv!H^T>z!{q}F|hZ}m{c#`Lr
z)An;7b?~C@d}tbJcM(@<ApQSQgp=oCf|Ny89!#4lkxHJI`<S-76~NlE$8SZzZ>UsW
z-+=efMimCZZtlNt$H8m<5ftQkT-e`!=^V_-^pcr8ul+W79dd``MTJ=0U{%q$+!OHd
z_ltsOV2LqVcQg3V^Vl~Q@P8vkjbgADpH!ngTp-3UFAB&0Q)xK~_rDjdU%>D2Dynsq
z+rpH8qUQd>XO4Yrl7&SJqb@VToyH7h%J609rQ$7cz4#7m(mr-VZtWv}ulZ@6lrCvM
z!I&>I4xd@o&6R`2mKC-(z=efIi7GJXc!7EyteoMNOy*Ap^+^Reu+hIWA%|clD$0>8
z*ueN&=mFShbm~wfe9G3{LmmDaeA1izzV*Y1doRfQagTpCJOkga@UPZ@Wy_7i?O?IQ
zyjn6JyMJc?cWv11{H6O^@SUU_UM<-CVfKHA;Yp3?YvM4yy5lV!xVC4udM`X=@ZWFp
zeww+yN#ys#*_N$F$$agu^>_y@d~T>%{s>%s+#%;Pet-N@j-j9)oVx$jzyvIL;=e1J
zFo&UDWfOc@`Jk&l>~CNBwE;fVnB7c1k8;MomOF4pn{b%{Eb=~OF&(bwPN5_7MGA#&
zZ++ohRfc&(_+pMXoe%tHG(T4xR?&?)sRvKopiLz0ofW@hkHJ&*o2JR}cr>oi$p}xs
zF&ff^V@B>!ZiO9xM9Go)>6=XhhkEdP{d?^n3Xu03$x!uv4Ko&5yd%edXan`$7}%j(
zcTxuSpicRF1D>ebqPYu>(XdTbgoEh$PjbV0@{_hoFl*~>8)o=7ht3{acy!6YgB})>
zYM-NnX+;KJQo_8tYn@-PpM@Of<_}9)4}9O{b?Yl!b58H$U-<eq_LVMpJ|g<>G<?A)
z{Ml>RQ`y2`5>C2SoLK^YX3n$w0L%TydbSL{`ErNj5N!PFzpfN`p~Ky`2bKuloOTQ5
zJ4F%D3G;PltOUZ&L6-4tu-3N4XIJ6ONt)zFczaBUDB1s|S@vu}HJonM|Hm25@Dwj1
z>#^fhmgWX<%-8gKvR>1)|4+aO?q%#hdmrAqT*yfFpSi+$EGQFx`)GDh4c=?0bS)je
zHsGd0_OFQ#ew>m7cMFu#io#EBG~6cZ$=D0K{=ffC@0TMbWWDKq)JAR_+E1jET3mx^
zSBwQVz+9mR-2LHkspu(6_}$%#9X@bOi~ryZ_R~4SuOW2-wlgWtnS+@MI!4@J@%G#C
zA7Qb2o0&5(ZB^T;Pw=ObnY*^|+QxFNw{Y>P*b1_q{$kL_+zVINtv@n>vlyf=J%QO1
z@?Pk|XFeLL*1-wBCwz{=J7na<is6)TiWoI`gOmRJ1Ne$;{r-dSe5&LG*}q75pSvDe
z@6+#Ae{h%d&*wkB51uZKV+w;?UJN_zf!De+hRA+N%B+uBgyE@G@AgYDeW$kw4}8!!
zFyS&>A!91W35x_a{;`5*S$GdI!?z-v>TO_kUG^iJVXoR$eogp?@i%j7_^I*Y53=9Y
zC95T?b;LI&$|VdWV858&iwkh`kN_vyPwSoIy7w%6*TMJ-8@#7(BAUcQUhY)W<bYF}
zRVOE4?Yu7DdF=N!(Id4y3_s<4_-z6HE>&gL3ujyHZ|Q|um&?zR_>9kOjvM{(>oUuZ
zXYl*jB*%wvt*q1gdRR2}tQ6T_>`)2v3UF|l;?)@VbYM(w32dE5rxOd$boscZ!c`1?
z&1^91%3jlZ@X|5nf2^>@vRCCTSen_fXBPXNo!95MmkFx}WYW#RF<abL(%{C^v*TTG
zXZZSL7M!)Pm!lKr*+Ts@10H)J;$I2Vt6m?>g>N_5l$XPT8T%ti|4|d#yO}TxXSHV`
z>_4RZ?k=pjb?ZwK|Jpbfuag3wb&hyM;$KO7TCOI;-z|o>kpJh=ZT5xhuw#<JzlX5w
zeNFLb_()imVHG?Znw~@Ui__)_6lsNrd44el!md|d1UAEaWRHYjg6Bu1U0=ZIjV@0;
z;p<8PO&xHETB9`Cug=wXtoSuNmoV<^0$+N!o0`POE(9umI1QKl4*%5$e@QgmZUY<2
zZom5$&KswuB>U$LrMpIv^D7v^r%3kC%geg{<sDqs?$0a=$4k9=^B$JIm7=v9o_}*J
zoV5Su)JR>$etvyBIMQFiH?)Op*WvA#E-sSz9b2D=(g@6ZS!WA5|7-2K)E{6a?fYk*
z!lSNt{rcdC$FBL3<MAilQ)2*LY1Y|Y4kvGA-PaCxp4_WKj{kJT#8L<RV?8;U9RD&m
z>5F84Lit;l3(56ym}yms>`!P|V`@&$ZyEP3k#czc)4_AeaOw`LnF@IC*}Xdw;2U&*
zN3w`TIrl}uosLxnWWPkS?JQ$qu#wEsWU`-PnbXF<0r0<{l-9{GM|IM&4;(V~zR?d(
zm5gV)2v>{6M_+++4*g8kh3Umisv5B$Ws*ithza?7--_?`@FDj{@jCF&!98WyVJSZo
z|KsrFkH{}kutq?1ls0U4W}(Owej3N@WeA^AGW%!(>$tjxXu?x3o)(b(<zIykx#`0L
zXLgSA!k=l9c9HgnpAL!t#eSJmwZFEI_O44=_H%G|@`9Tdd~`#EGTE=))l0+70Dk-Q
zi$^!yMrZbjyuY{o^J5R-pDf9l<o&&l?hYw}(;rP1ka+m-;@6)N;Osz-L}NJrw>Wn^
z{OO8&8hO8N-QEDQpXl_4<ZGtzp`TJ!WPkK_i=WX(FtvI=n+3ddXXB-lu>9eDdMDxk
zadhADTz!8Wz)7;RLlRlpWVGyTDSH(%8b($|*(=G)Xd)vrqwK!OEM+7~$jFEWA<7p0
zUibIs^YOl)>z;AXJ?DKsKKHWm`9Pw+LKFI*DHESJ^0;UPUzwHorU-94^thVCa?-up
z#QTAN^YoaXgXd?3Lx}g^rVd`BAdbJqd*6i-CjDx&=m4K}`}v4?KkwpJ^BR$#cWb}3
za|Q1srg>BR<swYwHF10iwj5GVCXVN&J$;aPpE2Wa!9W*ySTn<V0$$>65Ostl{!r@@
z?<2R4zRybJ?<pEBLW%b&PYj5+UWV@kw_dJ?Y2&w_dc(Je8FK1irS;o3M1MK;G$?_1
z|Fh!OS#3Yq_u=c-0{CFm!m1B^He9CsK1?(8Y=Y>2<)r>U?!y0tsU;En0ks?7K3<3K
z@oo5r!)i35G{pO_8K>h!LSSdM2dkd&+Td}PC|IawP}~DPUH|rF1QGwFx%V7wxaC<A
z3)|D&Fd*I!zPtJuc?@jU_u{n)+}bxdPuwpfZ`b}B!B_e&X550E`YukZ!nW$$QTJeJ
zn=Eep7?_HA?8`CYetY|H;O-Haa>%ruxE}>(=-$e~$}69*5##gnaNvLZ@QFK@?1}OA
zVQuL=FC6D2QcK*=-L5~*?}cr?Kg}WTcLqj|G<JBs&V7^EkFb?AWMqIJar~MpfmQDZ
zYwd<l8oJ#ng0E@+lG##2|K6SoBK9LnRrfk?!Xb7!eWmcdk4EFa;m~=O#{XciWdA*j
z@Lz+TJ<nm!#EQ5d@Kn7bNh7?*^r__=+{wLWUJvgMWIQ$sXIws~N{n|WUP`-<z^h$s
zDKBA<`<K7=!gU*d;hnHaP7LP<IPR>}P&=IR<yBHUtnL{9vImx_7<=;uzTKwE`5un5
z-mBCIpQuXNN$h8Q{(Z>19xmNUQuz_y`y$`A7(Sq?pFRSQe|d4Q2-c7yT^@p)N!Mtz
z;Rd~vqhDa%IV!a**h_v>ZUR=is!?+vUOuA2Jq_PHX!7eWtR^_``yIZ$FY!V=+_yu*
z_7|L!l$I6?H!Tc4pM#qg2N)yZ^Cc{gmf?q@<62?xQfkB6ANcLczJ_aX>5-+0P58?4
zfhAw~2Oh8+aFyseXE(U%(OX_(|3&hbZPsP@49(sT+lWiNAC5Z<t9(+e+l9Eiz;KHt
zTxjy0i5y<;W<O>K*N{^GCFVoJ(=6`#@MutpF%6ve&*-ZrypN_+ff;rhJ;|v7lSf^?
zL(Het&&4Duz`je@gNXUow;iExj>AG8{C#Y2&wPWTG~8W(q=6egV_xPZ1wT~xcHIZ3
z=SbRe!_i-Y&G_NB>D>3Y;3spOPkCY9Z5vuvc+};<eGyo>{^SW}c*OU`ybzpqGxk4f
z*rM;nfD~Lr>oZRYfAwFuArAMkEf1}p!1GV|hdZ&qbYFagVFk8-75YX7wsqYXH3w%I
zdzH$=tlA{?KVgA+D$3*Vx8Eu<lW>Fe>H;x;O-VlBGy#Y5@@5h9*9TTPrtjf`FT0{O
z;oY~wV&B2Dv}xn&@bQus(${cEiGMpWKQ7HlKk^E09iTmM68<4RR#HdU;yaZwY&%^&
zSpzdiT(vWVACInCmccis^mK{&_rY^r3D01<cIS0dc(vXzFauT!IP%3BHhj-l{tyn9
zYdvNKPaeA{bO)Adi{mBc_qvR7Hpy^YIJ>_+JpT3S$7r~DdC1-wwhC9Hz6r-}{9?QW
zf68oM@r55Z6mGb|N8crj`M~T{GDfa2D_ei|W%y;u_v1crGWEkx&hVu*w`4EayJ76K
zJzN;HKY&=DFkH>PZVL<Lh=>sD6Ha3hPkq?SuZJlVew03wcM3K$F>?-v+gc^KG++&y
zH6vpEbFJ^Eks5r~@E<9${@G6PR+fg{EFa9oz&Y}gK2mVetGy?pVX{wNKM%t0B~L|?
z-~lDk1A_1dyJUC*d|1=tJ{Ro!rQZ2ItaydLixb|d`-0;REVKNyh8k`^e`3c&7(Z0`
zixU25+hmyvzn93nKmuD^sh-G&S;|e)wpDSwMSTjf-phTE%D4jWlRFkptOpNHXlO0L
zcN-)Q<-)$aA7mzB)7eKHB{0>NztaTl<j3hrtS4WZH;;XSNp414R=^KeFR~86H(5!`
z%3$OAlGu0f=1%978rYlHp!qHQq0~&f8m8hMEvbV)Emli4!0H^qlQpnGL-trL%qL3w
zz5w1Z*m%<dhgTMo=fipb+_;<Jz}1C-3|P&pnW7z*){HHC2#4~@o_hleEqyq62WGw+
zrqvD0Q94^E!;u%yuXMskKCSD7!IQLwqrI?u@U4&#nEMpRVPZWVkk!BJ3x|KS*iWq2
z*=QX_ec;{S4tMp#O0U+~&cmjSu2rKjeM{6Sd-zG>Fzshp#Nz!+OPKs5-SQM{$7!{0
z4%2Y?=@I*rp8Im$_2HoZa%F$QY`NmOr{I@!{*y%hK#8*{NdZ<K&glFF3mn#ba~!^*
zM9DW##GfQ6O2Y@~4$=_&l_{}IUQ#gSh1HthaL07+Ic~Tsk}i7#zG5YKmkW0D_g-Iv
zqcl8dSYgM&$O#hUJBotlRG8sCs|JZ%i1)t?6W;+Fp0vD1j=1ivzxE{Xg`WCuGT82?
z=HRLd=0m%hpVPn=0S&uX;KavK7b#)yLgURT*ikI}Gy~kx*(Nm!Q>#zq?uOq#WX>Og
zrAh|l_rPV>BS${LEN*EE%!E@p+uy+D!Z-Pe{0)A#ZMzkwr`73YgI5&}{H%lz?-j4(
zhI4do@l?PkOyZdK!w>Ec-YbINtGR3lz@tuTZwug|;5I{k_yupmi7dEBKl_*%oL;+p
zH3J@x-AWXJ9Y$5>@4{M2AFfHmWAeFtci?jYqVJ{P<c`IZSXiEZ^Er_(ES)p#j)omh
z8POkswZCU*gu&G<`&N};n)jRjA@DNkmD5DNF;P}$(HCyv-sB?kb4O#=&U(S_J-R+b
zJ}*#E>w`1=(~rv97`}8ng~ADL5;Lzfgm0(*2(pDcnpPJRVWUfn2aVvR@YkuyFx7fm
z*%>%DI^<Y691yB-!x(1WWAlZ`CkF*i(p$mJX8)DFgdc2j_*=k+iJ50w;mXYhGCO!?
zDwpvy%(Z_Z`z$PeCZ(3xUo<dH7CR6B)_Lej>=$;vf7odQPj95{U4yrk6ihF{l*zxR
zDUfe>4;F89fF%|-lBwX-g%0h@@Fxc&dk#3wuc+J+mUefb;e;!GX()KYhUXam5c`7>
zBNCqO@VRKghx~9PU;D;Yc;ISZgcvNNP$EgxXGYV4m;}scqFECRyOca)ISl7N5SR~y
z7g$>AkHA4;^;aX|-6TG_#D3wx;{D<X*z!i|X;t|46N$rdaErVCVPb!xQER753@oFY
zcT*4kwILCl275NydJy}CJ<HqWDR2%;GKU$g{wrA_8|IHbO=<)GX0`Do`rDm<FO2Qr
zAnl0jW$-tW5P2uKuS>h;87#^7V#*o*wQK0ae{el-=v!j{kmA48tJQF{+%9fkc)+PP
zhPXezHFxg{hU5Kw8j1VEtDL=**gsVIO{Vh>CRd!gPwXESiq{6cg>UOgt46~jSG6em
zV3WRoLd5=|{^*)~FZ`X%_(L+BvUa_782%W;Tbl~I#U9!igrllI(q_Oh|1{}-!XBrB
zMoM6|;Y8o>@X^7s$Y*fLB@U7Wc#2WDcm>W8Wg8rW7sK;*5c`4KeRuT-U<(C7Pk!ug
zIVv8DA+GP=w}dym@Nv@@B(Gq<)n~!SVOhqZ^afaF%|J*24oxySNR+=W-F3_u-j#Rq
zRWlqmv^Uxm*0y?isspA@4!5`fSDP7CzlL1{kM6hxOE9!4cf)@1bJK2cKozBT7tDOW
z;I;?ss~ogN)K7Enxqxf16+_LTk8sL6ZUKLI*jcP@1pYSki8dTQbIIWsF`kj~WmHGN
z7Ri0ri1F@+m}N#Re5sbAWCA{Uhfg~m{!(@A@C@9ZHZFM=zCo4e`~zk>9v1Nc)=-WN
zT8Hm+skvmq%!|ck#CUss=U&!q*j$uTo*0ks+#UT}2p3T*xo;yr^|L1L34EUU$=WW&
zL;OQ;Rlo}S+QrD>!wa@Yt6=+8*=jo2EKr!I9&Q#rJwpTEKeFQ01UK^VZS8~K_a~~o
zhi@opUf_Voi$dpm;Mtg`^9NvGN&UV-;&{~>ULKg7Pd#K9zG=f#ECkc%vRs;kdsGC+
z1!2Dbb~Ap3H^t+eB;j3x<>O26xf3xxqVR$5l`$)@i}d^%SvX(Z^31M4<l7U5T8QUc
z_rvo$DPi|;1-)bN9x+v~BQQPp!w3m@e}n_qF}QGajrIs!vf~iBDlD$pts(~>=At>P
z40E0IdM*Z=N1tOdhqoS&8y$qlqoo{8VY`|e?fYR{*=I*Cz{;*nhdAMjh5qpla9nLo
zJ`;R-kF1XieBIoCm;tu9wbkJSi!tyTQNm*_tl?pBhrsDM;(5w`pno6)UYS~T*g$)=
z7xUWW!!x3~7Z>3bR&UBe_&>*ozliqVtf9(pgCEST)&GXC&p8`*z!^zeTAOgCR|U@y
zOipk0l;|J(O}RRU;cHa|M~MDm@V2FV5@y~f=0fz33tfk-zrqiauPzb&;|E`e*fN~<
z%;PK>JpEy%e+3Q{s+}VGgW8Mf_}xLsFCC^2A&z&?cRk7g8%~*0(!)bhH55EBeI%bd
zar`!qX88fQSJrWjm`@~qI_z`|E~5-g-VINcbTiAtE3@^SZ1B^?7ac~hFvpWBMp%Z-
z-p2$UJ~X4W7fxIH$?Of+e4L>n&KLMTtHB3eHWs`~w1<jsxKBLHw69iT53GMnjVA$4
z=>GkjXuocfhK8rG^@+gi#NU&eyya91i&>S?5&iXo<Go)4uxji!EfGJM<DWVRpH-B+
zN6epON-y(}2IK!9YMJj6=T}ub-?;;pAXnK>#0ws|{nCL|Z&Ups%4f@9uC5Iy-I%f=
z>WkgLyzDA`PU=De(O!aEqPu)y`Mc`7{=ol~;$FnVc54P1bFlYEbH+G$;=DBLS2!j9
z_1bNC_u`-yF`gJ4Ogxng3$)iY5aZ3YH+K87;Zsf|{KR;gJ|N(k1@8=)OeMzu2<92(
zQds#R2T3O^l3H-*Dg5yJmTwEp(7iLT8WwwTyRZq~bEf%yC49i^8V~XO=~{Hnd<9EB
zPKhMuTV8+oms;TWcS8O?fwjzhhC5*MMQX_+*xE`&svV9!wV3+|-qdg0{siaV+M>>Y
zyWhGQ55Q6UU&Dy`Rl0S>@iCZ(>SE<>cyZJ=;WK=X`m`u9zZ%ld^8E@wsP42T=2z8y
zCp#zMV!q0cp>TuXjq;!Hp8FCM#Qf@DnIy#w+~Up_Ow0##!XEUk!`-8#lULx!;R+&a
zu-M{HOJ}%+)P<2G1oPe5vvI`yqmF{^;x^)MoHfaa`PI%#hfnQ7d|JFh&IW$u+5c!K
z?8BB(YzlLhZQP`VnX)OyjA8qx2cN0o!>hkdPr{7j&tEaY#yXZabzsURV-7}mH?_t;
z6?pNFD+veul&|2BGMqt6Y03tZ7~Cm148NS+r@###JhU_<3yV`%C33+u?c;`G@ZFAA
zR|ViEPsQsZaP#b$w|uaIkI3c$*ggJ2g(w{GHA0*RK3};`Ap*yncs^!>t>ymBAA)V-
z-t@D=Ja$QHQZU)2s#A2ZV@s0AQP}AsWhf0iSXI$03!5iSxo#+9{^b0mRsr@Akjq+w
zn-9s;%fq$ad~6G_$!qbI6Y!ND51n~<I=N0)71oVA*Yp+sOi_492hJ`n{5=Vu9hAMH
z1=9^Ya2kdyB)DAlVak_dX@f8~d4BULn98)9sR#aYJf^@DE}&%A=!RAIFl`ybM|P3D
zcnx0>TbMixM}(=(zk)kyeUF}j^JZi&ynsE(^ttWfOmWZqwQ$>y4_>yg(GL6F<?vKv
z-Wf-Di}s;PDSV<x=-EYB`BeP#e0bPy^{yNIi2K!aF05gAb>=ec-C1Ru4qHvD^mxPZ
z7p9Zb;K9!g0$%V^;4sx~*vBk_HUNG-N~4ejQyToU^@Cs7ZI|DK#S0s>!eISa(XTh)
z@%*C?L*PEY{Z_$n^2G1(C|JZr`&J<A^woJF5>{xHC-;Vn|8Y0O!<NDJN3Osnl=qn8
z;0-mir%vz<GR^hd@c1jg@k{V?#@bWKF#U?F`8im0?!0U&+@f?V+8RzK8MyfX4jT?9
zF@<wq1iELz<g=O5#;{J`?8^+;aOqB=F1+m-Uz7(IynQ;X4NoO(Za;>@RUR9uz^Zij
zzZSz~<F(h7U=Jy><4<6=rqWG0_}Z-$o(h;x=#{uEyj)G@QwFno)jk%5nX~y%G{dQH
z`zeLsxf9X%8etv7cOl&HuJ_DAZ{W@o17%#WvafGXD@-oaEyM~lOl>~zg5736o?(Vd
z6Rc?8!m`?3J=Cz`=*aJ0IIg{$j0)CHkk|SEk0rMGlfd^Hs>O$3zM(h8+e%o!`Y?xo
zf=TF_`BvbAk<pIhu>Agd(<PWob?U_^ob{sm?N1ml^~?DN_uPH9Jq^45DOsI@TQduN
zCSdkfj?r28mr7>-7)&4MA^j7+T%EFi0FGB0VE+RrbH^F<5pfzZ*F`v$B<jsu*ghlP
zcpZLu$alR1_VF0cUxkf=Jw00BoGFD{|KQ-O*4a(4-i!DzTg2xjEjj*!&oX{(BM-&?
z*@EiHYB+OVhHEG6#-h|x0`s-?Pcy@<Jmi8!u<?E#B_>!Tct`ppxHH>@e=n@xKK?Ef
zF5E7^#tthdk80e9>CUg)@WB4LHCOM#8Ldhc`(dP^=i}gs#>Nl{_*#sEQ8XNt`ma|E
zu3WQk4<+J<ys{Kvd2tf)Ah;y5Wa&7p(ns>x8|HGF7&-wzknQNZ0@t)~NUFku+MRmN
zFmH{|rUA^HWL$a?CXFl5*N0t4O%K|@+ZpfW%wftl7E3F*=_+ZADLfs@_TCt7bm8}~
zhO4A|NsVA9UE^10;RELV*L2{W_VI}>FuR7@hz87ATRr6j8|G*kE5Z|Qlcj!e5o=!c
zG5DGa1^G3&y5x!YA=oKduqO(>{&+J{9KQWoUEl_M!FLCx0Q~f=+2UQeeo@Wk034j;
zu5kzU+B*4#9d73GW_%1gZ3Szv!a7z_7qa1v6E|Pb!qt(%hsxocH^tmkFr`vlWGPIq
z_52<QoUzl_un7(^=vx1)i2caJ!MP1^C)J?G5*(9y#`7J_`e3|w0WQ$AZhZ@@#m?#e
zfaA2pl15<vjBh1V@KaaeuS0NR=Mw)2{3*Eo-fx&P|8z}1+?!lKvjE$V*hsyD2M5$2
zQikFC!E^UswZZQPB^P$V0iuQS_>z%If>Fk!{qTOT#_n3U;6&*1KA5wnSF;?J*JfxI
zgA3~Y3!lQz%V$|c;YW&zJb7@MuEgsTa1WV#Wftt4L%LTLmWsO}`T%Zq6X~>o#iG?3
zlVRTKrTymcI*0Y)7<fU;Y~~{T=6>6Q8}KR>r_u%Zp8X_!Fx-69oyrH^e^KR%KOE^J
zVeJJkJ6lbA!aAxxLJ_d$Qqf5_`16`XU>GbQ)7EkU?x@)zo&ujz<u$W~4Q(qz@52>0
zRlCgL%PJ!$^I>Zy7fBO%!7eH@7aq7Bn|BiaJDTlW1t;X>QEJ1t0<;?{;C<)XLX=@O
z&0)7r`0SBBrsME|4_8~-;jqoM=tFR3_u`can2L64pBVg8H}dru{NWST9X^;L;G6F%
zJba*6a6i28)uUq>Hd@_CXNC1IoVrUMj`D23{Kp7qoc!>E3~r&D^QD4Sk2(kQ!Rw4h
z$9KSG;a_?Vz~9$`%GMPye(SD>9fRM@PN*%xUe_J_j=+H<^mRYsnV^f2`tU0%qf_5t
zzk;`)PQfR4gunU>KV#f<b%iVX^rQOW-&rQjE^t|H_;we(Rdm)Y7H&Ml-256A&nzg6
zhEMI#IobfH>)cc-gac9@ZdAj6vfGmK;e7T!&!=$E5mVJh_{d)uvO+jBEbdM{>~uZP
zKMQu!B2n*y^RhW<)8K$`iTl0qgp5T*GVI_Nt@#tCihsfq569#_O__#G4$j10hi!~U
z9M<8LshZhPc=zAU>Qy+qX5HZ$oVZ)$B7Fqb+bOKeSK#CVl^QzO;;Q*&XZSxyg9t7d
zuc_<02z!Ru^>f1C3^mkkV8asoNE!HWjc}g@oKofd=@6Vg<fdl;|BSNAR)u-8mx}e^
zJ#^=mmEpCm<NWIIUNf1;=CJkL_ev$0xl3%-6m~a~5<3i^)_xb`16vJD%u2u<f_0z0
z;3yXH^MbIdWk7xe{M5w#6)&t<X}=K$o4>7--wQwfsxTG}YgY`ou)|B*ywW$}NB8(A
z>0yuIj?Me<$=`-*v@qR^qSN<aeuk`CGWf%c274ZCwbZbe1n$-5ad`~a>g`TmmB;=a
z^HbSM_(9G7-+y4^U*S>ZaFCw6(@(g1R_$^v{7vUd$~2t!eoy0naDetph6z|?Gwx;^
zY}C`>@fm(%b!PZAe3_c@$49s)n!f2BJbssoy%!$+GsM&dKRs@h&;dW*5xe>kZci|5
zY=hN(Omur;)vU*do8U(+1<aFh)~D<DUci6LFJGL13-|`<D&hN!3@4}I#a*uy%i()7
zAJV_WIrZ#Sh43i#mGED1wlm4seE0^fbl)6I7H?{m35V`}TeA$;k{yprhd;5$&@RER
zlM=}8!vE=&_mN%4_bup7J0!vXJ~|8SfF=7M58Z@+>{_R#hEEI!Q%AuI_n)1kgyZP@
z!-C-lPmZcHz!yi0%L3s`8gut{!`8t&g}vdP<DLO~U^2E(7FS@`&wTG#;2d75_fBv|
zWp?>Km@Sfo#1W>kH74hT?f+U_JqHIXX}lAG`}KeIpM^Oc7kGr>=cGEPjp1|d4&;a6
z`ro^Q4dL-ev=)-^Nd~87ZFn`tU*QNW)+s8W1>3(qkRS(NFuCzi2{ufM@lu5O1~uL)
zz{P!%ujOI#cUfw(@YV3!MQZTleb!#ma9j7`Emc@L=)W0Z*vsbbgbrML*K@BB++2BB
zRvVtP>q_E=4FwX}4PYDfh-NN0^SY$VX;>j}>?kYDF%Y3|2B!)oJ2Jx_$_KJdV4k=0
zW7O~ymImkZa7~4dG6j5R)3n|m{+yIwy?q?}?ZFw3oMG-R{cnHavu?6Wj_}VtPpy|=
z_TH<XJYd0n#__-5V{d6h-QkBlWjkl!c_v-@t8jmovFs06hIPcw2mak${$va$@6{8D
zggt-#q#l9kO$GxaV5yUO;k~d#CyiY!98@@2)&qN(-m8d)$34`A+u=J;U*1oGkEVRG
zcmp$^(3?qs)!rU^-vEE)Pb<%a`HRgZ>tNL*`^hulUXI$la(KK+c{&$9-=o%F3a5=U
z$v=kwE6O`n0H5PoBddfD6h13{3=7tInU%v__00Sa;Zr`*$7|t#WVek|VJ{A{`2XOX
zh}DiH*r0*ev<+_0`YC)1&YHNF{~BgJYxpP<wtSlv`wn(E^!j}S%(2ci`W7}b7t;=a
z1^?~M8-d+!)8t=;C7wjB4Z-wFSN6LTJ{{gP1AnPi3vz)I{HB?vVHvaHC3`r$rhjM+
z?#XvEJ_j3|KPtWo_Xd6HFoR`P*_U@kV*EK1Cu~d{@8YdR4pX|UX6eEOuf+fCgXu%2
zB{X2asZb40I4;F3PXVTBt$3&l`*HR*AA*Av{>*E`v?c1tgkgcnS6Yp*ym-PU9sDq~
zcDV`mzQ%Zc5B#WpeTe=B)}yY!EOx?|3|XQXVQodH30gSDJ!bPLJRYRjNd}u}|5tb%
z_V`?GOvF7-U7GZSr8{j?{~g18v6M&71Mc6m$hZpsw_*1;1m=0q@BRm_8)ZEm49}WX
zf182p(@GEBfEoVkvQER+G4>JH;oSL=xN-Q3@Y=;V__mE(-6&kmTku~Dy!?VhrXT*2
zbM#>{T(Nq~?j!s@|Jz(5JlcF<uoGsdxzh6h_IOiF(E(R+?B}}=U))j-X@-w72+!of
z&r(i~)We&Z-SW9`C-t~-6)Z2K&s_pXKe7$4fD`|wv=qWGSED_%Vb327d1Y{u5M@>t
zOwC)h`V1bVOJ{okb1euCKZhHr*fsCLN9bIGE8%&q6LOI-g>1jw3z%iJ)*%8OlfP6@
z1$WHSov?%R3z}l<;kCL*k8^PCF(!^uSSO!boD&{o>ys;hPg_6Q-UpAEuZiTq>+(hy
z$lwaaS6XRsT1eMna@e0*<tI`8vk@}_OGnWjZj6*feUbCqt}er=3VoKhU}4ocw>g;P
zUV$&sJ|eqqRDQwgVV-S7`&?R^e*O*q(5?A35N=vDjs5|9e_}Zj0J9g4lZ?Ydoy{ID
zu+TzL&Lqqp@Sw#BKAS7UIShA8Y5ui@eHCWwN8y|s0;etD=wDal`r+EREoTE*??T(I
zPw?Qsi5I8gn6IaTyWzu|b%UC4MO21<5BwlDS5yP$?&E#a1}g=IX)D5IIc^U+U@sTj
z*<-M-k9SlJTr{LgB@MGYs<o(tg~TLEB;X$!^;$*nJO^usAUykSi@g{=O1``409@o6
z7?KRX-q;%9fL~v)Hn;<)R?_#fz?E{6&;8+VWt0oF@Y0a|%|MuW$z@~*ygsgOssjhz
zxwgK6`|)p{yWmOqLZ9%r1(>8q=?@#6$*xN_4X-}8eZ>Lmn1y}*2tPFHw5~XU{H|xm
z##{Jk=$J$moa<!pqXmAq;J+CLzheL0(E;B|cM%DNO&bj^67epfq!3fMQ({b;h(8?(
zduj}4eW_7yh3zfcS&qYM{0h8Xu&&R4YDZzd!t36huwkA+og^Ifj?}ytK6Hz5MjV#3
z(Jt(Pb45bz1mH85nqmjx(9f3=`QUC+^3eg<=4&4XC;V#uYSS2e%%Scu2TXUTmT43Y
z>lc2?0MlpR8JL4*&(F}%!7=SU!n5!q<C%z^aN5jK+9mk?0lD%W@WwuGo8R!t@m%4J
z!#JPkU2<yFcXcCA^%5+Q{>GdVcKMPlJ_~=1^V`P`yYCf>{Q+N+&vV-YXJ1Xj51wH^
zvO1NO=nrgZW4DIjHJgS@V(=GI(_J6nB1a=J1vu?=tHV3^zuO+c#Q6B@m;7)mysWr-
zLKoiCnSQhdF8)b>R~uf*V=b+Ly$(lP68$}w!HKRK{&w-<6Em3p;Fs$q@DU?QkBjgb
z?t@<nVL$RcE$3llk4Kh|V0l)}$Cu%TDy5s5a8s}0iZd*9rRLu~IQU>*tv{TbFl}`k
zUT`d?^@B5RT=*CR&lkU+4}~ji)^<e0mFpi>i1C`e+1o!9Ua4XvPk^_{5(fg|*O3h7
z@$g0#oxV3ryDfC=F5FFXFX#%aIw%l(8$Qg!vg`!M$Q^Sf#veP~6h22-bf0Wv3K4H$
zOFIX%Q0Yey<Ee8!+uB+9#})Oye0ad+zPm9TOQ!dn7*D^;GG!RTBiEFvp2E$ilUa4(
zTXU*EiSbf;l1g0*ws(_JB*s@S$Cx@L_~08UZeo1ZZQGt!fUg_#c-F#O|ApAe!nTR*
z#x1b?)Ix$ZtS7W9w+S{^xk4cVtLd!YXoJa)jLQkZr2HR5T48<rNq#nXJ?jN+7ku~6
zX=7HnXENWW6Moh5zJnJ2qaLr)3x{zZTc?IE-}X)Jf!WT~dF+7eKACwB!Y9LdGD+ai
z(n_xfU|pe{J!^7UKU#4VjKOQ1<QglmM9cR2XZW1>%@=d<x9*R_U*VY9Z!<q(XVw42
zr(jDbXZuMwDam5-4@?oj)i?%s-8iiF8@?i)eRu#?ZYL4gfS0eYobQ8GI!1ig;LiMj
zk+<;j!XpckD9lG&-%@wNEn5La+laH77=^dMD<K=MyAdzpn;C6@a~QfCY2lbz53_1`
zOhzSQA55aRQC<#*Yt#4bg~Rp3MT+3)rRHj0n7qB&q5x)LO`tpg|2(4mJ`>)2^rKS>
zzSGbk_7HxcS;{2|A8^!ud>fAU{yVM&j|4v@NrX?QH%KeOtPaPnMZpG_x0dzb4XUJ%
z5wH$Nt=38Svk;eF0K8JT=bbY=b~AIQH(cHMn%fE94wVRWf#sIi#0p>)M!#7r_{imw
zpgj05_wMs1aPnA@N;Mp*ywPX?fAQV->p8qH*+JV9j^K_n8-r=@e-|g>yA~P9C*bL8
zdes(iw)3vG1(-)<i_sLmGIrbdH>^ixn`#Y{_3z-MzKQ%<OdB6@e2dS+b{cr#zEH6(
zyxc|M#s?3@I?J7fa~_oJ6M(Z{zo~bCDU4W~6<{9mNlhC#SL=<t68!M4V)sS3(@vDd
z48H3oZD9vngip7a!(}^T#+~4ge|0Xo!@LF-PUm3*ZI(Tr@LT4R#mn%!6JOF2VFBu)
z{0nf4$_w3OxIt7@$_>`)`&m{4zuFneOvHuh25sx$jLM!gS9t24W#J6Wnz6Uo9zH5<
zzVQQY?fk%Z2IdR<7(yA1?^8Ud88m{!$i7NY!~0Ge*b(Jb-unCD0DReL_cT#|Hbora
ze6YTVfhSSk7uR~#Wnju<HJ!xyl-k$+$ilZ)){Kez`D$EItquoS7(6`(ztftypb4ii
z-8$?Dr{8)gWCs8DrZ<r&{~v+g0dx3bFg*ux{cnU4QZK>9H`Kg{`nu)tPR9uzKNhs<
z30Iv@Elq^Y$*V?)^GQbPkS4&Lwjm}&`*kU&f4K)A)(;8$|Mj}+%G`x5_UNt?<<X!`
zVM&Ljdo%@!{#L4`ejyFsCS%Gt2@7?^Yv#b3u{51JFf;QJyc!JkFFbHU6%O_bxK;=U
z1a-M9!xD9!9C>iA_=R&4uxT*GW(l0mWf><1m+drvSOk9=SqR{S^Y~+e%3(IAF9jU%
zrOI%3;&}g?8Vn>bYf+&=75qF@PH|fn&j)v-+fU)bz4rS?;G>mJ-qmo?X+xbM*g5qb
z1rg^rRL^<_59EFLL43Y2QKqW|PIf;PNSr@qh=)G{Hdj}&CgQ0A42EIwB3IP)$FNCg
z-?k{s$zgn<7(Vm0O;iMaDRf|+sE^0XS>gX=i2Ub8_J^=&c%dmN;zv28Wp2O;P43Rg
zh}Z3SY!nQ~H#jNYflKc0KI#p#`Sj4(!S}95u?NBfCL>4B!EEQ{tbE{!TW{DD;h@JE
z3PG?yQIEPj?6Uik<TW_Wk)-$lOnUGYeJI@Vi*k?~{-RoDOZ>fv!!Hfk;3vvds>JnN
zj%f>Gg;ND4zJ$XeF^aA`VTo|5moe~5f0fi7@QG8LEYa|O*-gd`X<Sdjg(aeY2`p|X
zt-+yvNAJbM9{nB?-(f{xf8V?CFkZ6s6;55We{&mtcUHJ}1kSyhnNRd5(r`YKVYqI;
zo6ZB+PcQXXJKRo|Eu01KrBB}1250?p?<DGT?mH#zbGSt&?FrEy+nU=)t6=G~h8dZ#
zHH}nO8mx59BRC%p?&s@Dfo;F#r6$1#{zgrRz-LmbYKiiA<waMD!S7hV-S&s={tZu$
z9m4%N!&G?%7Crmn#RRN$hgZrLUNpCuh=4EO^ER-6Q(mi9M#7UnIxFP~8(hs>lEQp!
zr_voYIIkeB_c#2qF<69%+X?myx50Oxe5NAetkD~0uVDedye&m|L+D3+G3=<aKB58N
zSf&111XuLPOAzD5_RVMZ*~I5VqUrSDWd81iEcm_=ZK*cwQNtdR06(-dOfY~07v+lM
zVT+uk@ze15(hy%HOqbHrNQ^J5>q`a^Fz+-yqbcm~nA+wK_q5bKy$sI}e9-rS?e;AG
zbB3J_{NG%L-<9!=5%u$LCUVIcE}mSBC;Bf-&gVccSTn1Z`VQ><-?$WU{A-KRv&pcS
zQe1%p{EC4}J{6Ykis-Y03qSvu{(pbCHegMhk1L9`ow%P)$aTax!UM9>d$Zv=%d0zV
z;qtB5_nP5(AFgT(cwKnldn0i^?=Eozc#eiKuN#hHj)~HPZ#8qScEO%{^8eJ}Kib+=
zpW&9UX$uvY^yaBuBe2PG+WRALU*+XjKjHEwc@bIIKIk&*3_S1l>yaoNCFQ%c2zT++
zz7vK=DZDinV2R^yng`(4N7wk*VCxz=FK+l}l()|c{9SQoW)CdC>?yM=2Iv3irp^pg
zU2wd<6aIdi{{=Pdd(_T>7LI!|@q-c;cy3xrO~m`|+mgWNJauj}!85gn@!OK<4?I$G
z^l(^ML*N`7p}@()278kE7XF0CDu;DxU>DlUzn;OK3RIWL;Fq7Dwv@q|*W{O$aeXfg
z6hd9$zP7~=Td>#WzhW0yjFrM?1O7{G_wWq7`KHo%2R@%;#M^EG@6~E}OaiMh_o^7c
zoD&x#C}At1B-hjM33s=TM0puZPJGpX-+Zn}+5?NQRVtl;tt~55*kNxy(l@&B=dksy
zgM=OJc(h>7G}01bSTnV_Kp$4`&y76<SN56qoq{bWD~`*+@x7VWX7HuATdOBvt=y?<
zBUlRG8&`)PWQr-Dg=qz9BlX}fa&0b_a5Y_@>}go+@9rf#nADa3w>2CaarBf8?Dj|N
z(K%RIGpO$(+}pkoatSs$LbKxnEbhc1=>)H}o{k~v&rIqSohN+d>p(S8e>p!EUtED{
zRrV@-!(RGnN0MPn7v{yw@Y{%UHxpqA{g004Vf~9cE<J$npVzr-4;K{WpS%SNo$Yjx
zggd7=TyMb4j)q4L!CoA6MuD*FxhC>$3G~0=WG`=cG){5wAKYeYJ7)*amP>6vf-A-=
zI*IGe^mrkX1z%(_vnAqb!>7W0;7;#*N<^GLcd*0@rb)PX=scX{yvcF~=6{z;e;FRn
zid40L^=bpk9O09^i&9!}u2p`52RyWV%~}J#n-F!#6+V7_N>3J6x?4o=15+(K`ANeP
zH&blA;FTrrMPc}k&vT^!_@+!Ymk{i>`}X)%xbN|9IyPA4TtPz!TpfDr7%RL>Il`7G
z|Md2T&`#L&PlD2QnB&?t(;YC=Ugz;pSd8qe`l2|V=ZD-HZo*X@ww}LWy%Y{(B5sj0
z`{osVZ_h!WYw+O^*R<F0E|>kUePN*^2bde+XP?A>xWOZ;>E9Y*J`Is$MEROq^=+QR
zn|G6YcEjG3qncfC)QU?e15BkP*WCy2>^&hejr+;ykN2-pIO!1WAThpp^mJeS4zp7C
zEA_&STXu`H@P7Aub06WGUmN_E;a$!ShgxCXc{-kTxZiUB_-ojb;c@{f%6ot7Gv9Og
zNonzEa(M5x+aLae*J)`7=-`T18heQO**kTmAV#>qefd=pY&D!gz89_<aTXz-*M14_
zg1O<z?~H@Qc%CA8h=OR3N{1IY7vR6D!s|r)wR(vxJHYF$%^o7KGj+vL6Zn@``W^{*
z-|C}b;(6r7*g?((yUjaq5zi|Yt<q2X;VYUyPHVwGB{dB8!1EFn9?G!G9YH>J_;7X&
zvjS|IdWwkxb|s0ClZCI?2!Ex7b2*u#q~XYbIx7-*x69W85je&zS(0e~Tj$C24#G<#
z75j<yuM!@1<%SC+BNu<eixeJ>T=0%C7N;55s6l6f70%l+Ay3qQiDJlgCiuzVUy)(B
z+sP)68m6s#xitb$Q2$#c)(f>N20kBQO`&lPQkc<@NxL6rorrY#hxLVEPI@EJADVtS
z#;?NHzMM(!hDrFFq?X`ab#7rq|MDs*Fq$QfKO<<;1UpO9tq|*z+8syKp24|dn`{$s
zCFwM489ZQA;WP#xU2u;tfX^%C#16oR_jB16!Ca@fB|pOTl0y0^u<uhA!?$o=efNPh
z`1id}*&T4vxN%A{{CK+iRSTSxzT$ERE}DL@ry1TC?>89>*NP_}CDvDher(n8u)2nA
z%yamFT#9%kT<w3h_!+EXAWaelHxx>2m%vq@%C82)58jLN<iQKPTDqZd%EITD*>HfP
z#xZwTFMj-MD*PYQM;cF9KDhBn3f$9e7~u$8)4sAyg2f7lO`YKimVze<aF?`2mmREq
z=V@0Id|Li<rUSfPai9AJ?3ZN0b{3`)$Wjf4`P)BDTfzIRZru)qM}8XFnZUUX530Q3
zXGZU2%wTG|I0`R#RaNWBDVWLbfv^kVf%+hQ_|5CY04Mn4ZMkJl*pxOi-45Ping2!`
zHi~}u>m2Mq!KJJMJ2e$ETEL(BVi-@rg(lA&i1qMy5t8U*Femeed`(!#<E^+N{O`o)
zb#-{9MLAa%KHu?+QxV=`&b)dU4q+s5lZSO>7=MYw!7(g}GH^_VOS2^0@k98_AviR1
z<mf@z$yjBl2)un-nnoBNZ98Ko1gBAChx5P%^U<m7u;okTgZyybzv9_FaFJh01}8jJ
z+q#<`o{3!c;DT4b%-Pbxvy}EfSYU>t1G!tsC&&g*#j(RrT#Z&Y;jQh{I~m|KKUa<=
zn94D_pAptH$#Eg_4>480Pf@{S^~2A;z}KcMf78O;GJAIr`HK$8W~ZI-a>5b*LAYdj
zPJS26#ueZ@0KcX)sn`-j|8z-x&<$_z2#ov(f1;n9>4HCfAOE`o%WU&WHo#Jne2+HZ
zGDV-T7w`(>4ffx#$LD)FmGGYPSu=m&ahbX0a=4Irhy71Dq?LjF2`qe<O?D0*lD_O*
z2*)vAdol$(<X1gSfg?Qc>i>YLOF2j%z~evvydHzMl9l-qVe5{~2NQ63d4bO@_%5R*
z!yr7|zETqm-xEDsIRa;0cccx1KY3J(euU|35+!_Ko8r=~J~%&yBFqcE-azfs1@9?4
zl;Z+l6(-T@hW%4YmWljQ2&HAiYk00~kj);R$ks`0`~UH0oNeI`ryo%?!O3+u<1FAj
z_V~eOIG|_um>C?JG-*%+?|i33st<R>bnw=}`5W!Vr{LuG+^OZT>hz|M25h=cdbtu#
z5sPb6gBfVeCZE9CbWJnzu<m)8suKA0B~!)Y@T%Gkv0Rw#c<ec8xUAD=I}dIx5-2C~
zapu=beKO!;ck7QraH8aOtt>c(A;V7q4sGB+oB;nhIh@7?NA>@vNP^h|!{#~RkN>HL
z+=TNAn;2MN2ND{?7}$Ej#eoT~cxKTS2Jc}giKK?#338=Iz^|<6MJZsBx~iL3VDdkv
zr~V-y$$#7Xj5qvejW%lwmbup0;{sm_Gi_OhTSEMDTwxQv?n^}evp9q{*^2N<u9z8E
z=tq--4QzVpvE+9+t;WFU6g)AqYDnZ?X(Imd>BGG`ajV1dZoxPvC3r^eE5}DT$UtsN
z8TK+K|BuN3&XC0%WrfEy-G*MmVSJ+0Y;aVTv@@|^Xk{`dTqBD5CCkyOfsI&AEuO<9
zmJTXJ{(5SRz9Aj9O@G5h<gYiVeP`2Povrkj|G_24eh<aK`T6TvM84XH#EdE$-l5g4
zN$eNS9{;d<74|ge<tOsh2h(K)ec`z+nybY1B>whHcZCDiEKP{(eShG6rwcq(teW2r
z2Tbf%bAV%$Vy+YU>c-Dbo_6p@V~>Gu_!&jv4-5DSZ)GKsuO{gsVKaxPe&46)hb1nk
z+&T?^d(uBe<g0IO-g%)1v&Q^)WCZ@V{!vC9PF526{S&rt^h#8L2l94l5baU8Qb}<X
zo}qF1w+<^BYn+#b&9+sIi2Ss}%cx;dcvh`tnjZaO?y34kLAX&NQGv)uCkaM>=7RT(
z^{){9ujlE~vAwXOeWnhPk2XJdyo?b(Q1yvS45kgaPq!N`ZAmi|fv-A_UMGinUcX@=
z?uTk_@d;A+piQL1QJCt4kHxwO=HE<@xwPTQ#Hz|=__?f=hbDYrc3X4~R!MOcA@0}G
z4^lU$VNXq-AQO1xV!*#~_#ZVt%Vk(GyC`}XKHk`M(HW*xS|#a)cUrcoU4dQO{z>$}
z1)LuDJmA20dU<W|`y@+)P&g^jct<OIa%?mE|KnBNBfl4LaotSF4a854W#-qy*=(^N
zuEQxe=l7SxyO^!x?!cFv#{Hkd^Xsdl$?%htQonQIW%l8^RQN3=KhI;>X}9-oVmvi7
z^}e45A4rgBBl6?SPKJN(!@2Y=d-LJ6`E2I|_>5=D>Qh)*Bkn;w97rOnTLRO`jnYTL
z8N1$*)x&cEc`jk_JkJ@kI=JTX`j>04O{;*+OL+6nCx)x=+4*OY&BW)0#BRF5TYmD&
zJ+NB#*rYS8DbbWfJa5e1WY5~efvll!#Pi5#jWXI6zW!-Pb07Rf!iK~GelhLq{}sMG
z^7pI>EOB({?IhfF(zy2|EMs3#_!GYG&PA#V`!@3ZorV>4ysxRkXU#&Z*5MZ-+r5e~
zpYjUD8hlaF?4%q_UYs%Y59Zxu^^<|0<uD!DhMBIpEr`H-H>;R;;dyOGCc0l3E+!Sa
zxD&oV6LFUZcKu_|%>pZ?{a)AyKaK46WP*e1^c-1WDxOQH_rjmYx9>8+s?9xF#C*ZQ
z#gdL1o;$j1Nz5nI3@RLV!M`t@DHeo3G1HH42_rwR_U)zwY};E+_ZKz|(HRzl6-b#Q
z|G+zfOz#l;2a$U%#(%-<>J{IP!&kzp%)i4|{*-0v!gDgS<&*FwE$ZLe@ULE7kzrW4
zDdL?0Y`HORJ_xJv4e{v189P<F-@~8Gn+I*+;h%OQT`-*%lbAJpShD5OE7)6XcIq<R
z|E%wC6WpJF<Ong}(-%A9{U1!Pv~$59cG6Vnu7say=$`O{H#Rdgi{Z27Mf<~G1G9bJ
zMX+}JyhjKu?i=#+5#0PWN0^we`nI}jX23MjUjpJ`ul*nE@50d&!wk8w(*}=bB5ZPt
z(IE%6KO0pa1;77Zz*zzFjTo_ChXoD{x|YG(zO@Mfu!pFFATeM6ns{~QDtvA+{#qj}
zdw$%`9rk&uNk^;?(mltgonXaa$8&w~KfRN7cCdBpN4BqUdCFv+H9UJ@(P<Lae5x;F
z3iBNg+TMT#quA^8;r6UVgLQZ)=Z3Tve2;&Ok_zh|HolEGHCT#$?hFM?=I69i9@dZ5
z`?VjY*uNPo2g^qrsuJrjzQD_5;&7r)__`QuE`dJ}Kl~VWQWUOg74PGL^EGnGh<vIu
zlba+L{M9<s^cYM(Ig!T#=Y~|#>A;p9%%qI)L4l%k#QIY8<IQW7@Wa(|Hex?T+N}7)
zPS{r@+lk13UP$59{VRm|R!RB+Vtva{edO^PJmDJUMXYZVq@Qsvz>SZ5M7`kMGgUsb
zaNsY?AWwKGQ(|rs-u>~oTo`=px1iQIZ262MDg?Hi$Z8mXGu7vmi2azdcQNcA;h2)w
ziA4UKZ<Rc;6YfnZx_lR|tXqE34o@<LHxTP_pVOYQ&G0J;C0`;xdc{lgRy~{~$IwRX
zzeFp)B(H+Sb~J{R!DauV&y~R)_hNgV!Mx;@0|oGY7V&5zUm9oIB$W$i9$p%%hs`pT
z3m(Ex&fiQX@}<o8rb$!a1FX7JoiP4!%P$dL^P!jg13z3bu#AG~4bOdEf_Hhnok)Ne
z%uMxIknh-YGV9Jwc%rLvgB3n0$j+4nN0(+g$-!aI3%a9W-Iu%BkH8L#`z(^-S7Gxv
z%-~*mXX;p3Ps&x!0#^Pwlzbb`Xjgqq<by~)O{vGhUzy(<`N1FG8Ft-)?HX<9R$=bg
z+2pJ6ScBk;HF!%%k24f568LwTA(rURQ<?s7xKi&HBYetFRVV@;Wb_>5fHy*1Ov2!K
zW!;;caOa*kBgFLz?3i)jgYTW1r6kH1tkK3K0E?DtCK2_MxZ*S~1~al<s=o!x=$}fL
zfSom(H15N#o5?0h@W_=v=|p)teg>1Nz<1Jh1&R7s{mwh41@Av^ZIlY9%`)H8fp49u
z7|Mo6`fHpF;e&?FyB@*Gi_h4NVI$@}35D>34)dim@ZV$Hb@_1FhEa|cJox5{S}FW}
z<?)%z@N@60X~nRALjjc=JhI)!NA#cc`FP26c$M>tXc0VWS}>Xc$DePgD2H?Vop!#1
zw~{{866d#ZIBxnD))I`B&V(15_h<frr5;()-GkjN#(pirETim^@o<jkavo_M^3PWz
z|6iY@_e)p*A>KHD;{Wx1?1Fp@8{&Q{x&r|?-Z5ovh!x(~Or`Gy8-D+qBmjrsG0by^
zou4Fs;e*xnnf70TdH+y0h{9hf%5*Nk<n0x^Mc||2SDLM0veY}R$6y<UTy{(N=f7in
zj>7$Eml6%&;b6KhEjU&??z<lR*}H^G6BhcSe@-1fV9L0D3J$0E9CHGuvVNwc2UpNM
z+Ho8fKIcMW1z%e#wLA>#tdbd?fj>z5_K3qG99ClXu-eMnUr|`~<?ldSSSqu@n-4D3
zzAxheE4-@d<c3)ygs!{6#`&RYY;fi`?{mKJ66LxZE6gafv(y{TGHd!q3!e%*85;;k
zN69hKz+GdXhW+6-<*n!)@OJ&#<QVv;GM?ZEk*_SC{BjdEmCmzRf&VCQHzdM$NExp$
z!SqVGyA$AKo1x90@T*LQ)(qG?E!XG=?0+bUH66~C_UIUc708+w9>e-s@0UNry!pzi
zIWTi}nrk1N@8G=e3CuON_MjJj$?^SiA$;ZJD~3)u_oEbF4a|Dp`_dcuI%k2`b2x)q
zb*urtd3{Rw4dLc5a&@qRm6?AlY@J<NQVu^Wb2IINB~JbQR0>z6jpla3Hy(5t6u=QT
z$*k~8VohUl=J}7|05Z4YLD-q;AooLfFx5Y50^T_5sGADQ3QZ1-!F%<Nwj{xBMKk5!
z;e!`^=MrFPT|=^O@TW%23sG=ZqDjp%+?x1bT?8E3Tt&46KNpCR34otRmQ8KK8K3KI
z{9uN52DuG*|L25$5BShE3Wgo=sQ>d#r0y`~yYsdraQ?ewzl-o5M>Ba!!U9c?&%@sD
z%VKxIIvdIRtY9zGjElSBA)b1zGqBbB)oNOp!8Wnc5H?g9OJad#%%0Ea!_2=Dq#5Bf
zb(<k2xU0>LjsvD13MW^Di~qJ-v%$xs&4OfM=jP0#+_2{S)dFewJH_%%E_fHE9*+od
z{PT7P0r;7M^GPANZp(8gFU&j6B+o{Co=s^?m~f@UMOK)MElE-c?pGumrG*>gxV|2N
zIU}WHso(`J7rDbQz0R&;5_pHdD1#Dw_66I(wjjo5uB)~R@bJvs=@mHcm-ksO_)+6l
zz%=~rgDQ;=Ofq?3=WqDMX^XTtxK3f_`Ye3@N9fNOIR9qb-$~fQv_C5q?%bVZG!EZW
z*{^yZ-e0YMq8nDd-^iH>zkML-+650feQ`;LUHR$1zJl|g1Z(EPEB!y|U&4LVE#Dr&
zf;Lb7mBHVuO`8khQ>Bq2rEr9rFJl2b`s6}(KKy2A=j=0hyi1`g7vA$!Ev^`zkllK5
z2Y&vn{bD72d!^@lGR)CKK~V<FJ0=f=!J>+h6aT>v+RyI@g_lHf4n2phk8Ai}g-?fb
z(l)}6U08B`;Jxgo#dR=6eczq)FzL{%8!rjp%5JoWNgB2Un_#jThi8WH^_laeZE*b=
zi6MRX<-YVsuVB6AU+qfpO2uZtTez*~`H}*xS+wVE2fXy+!DU%^Ld+xY1MHY?eP0@$
z?ak5bhLb0`qYl7E%}YE3@H>YuW!x~!6*|v8xV_<}FdMw6YkBfBOimwR!V0fny!mqw
zZj{wj-wD?hb+%5xZ~4jGcfb^TzOatNH-1fhTNgn2HFy@j!>P|Q7}wzI{kn-$@L;7q
z>36u(Bh+~oe#x>|>?>S%?@sLud_w<k&Io*GU+bOUuwqE*yCHbSbYN-$KE{7r^8<YL
z&5p)3SdU-b^F6$ug_(X8?vOb+{RSrA|I%>(Ev$#N&Nno`vBs}RdEi~bL7GJT)TwX7
z2jMRwdpuiV<@>X-!m!|g_<9%Y6~u7y5bRIY!uOVlzY}^b3tvc{m-!5v95BjKfQ<!$
zY=+@uLgx*X;1$y3Z<FwUml8xYVe?i_#xF2;MBb1V+<sXyWd<J5{CCS7er6&!{|$~7
znHV*NxApigj>1&wVz)2A-~0B~5#?WHrkZqspHNcE5arLG7pixG!_q^oiSldtk<mHB
z?~i-*5#{q&-v8Yb{*pQQk0_sS&Qg^<Y?`NW#1B4UyFPpdHu>E_8vqLm6my!u9fz*Y
zTEJVU>s9sOCZ*-(Gw}YtyhlX&{YH`vCiyX*6rK+t%D-EjCtw0D7_WRH1-m4gx8%Y;
zSr(B;VWz}yvpKMgXj&^#pC-O;Z^K}7bIHtOa8cFYl@NGqf6$mT{QY`ZzcpO_oV4aR
zJWobXY6V~5I#DPGGkz;|JOQ_6*M=*?lzj@fRp6T1?JLCJ`*!#9h9LZ1%mtfLxIdOI
z2?)T(J}I-r^^S80v9iFjCR?rQ@Dh8eG80TaD{@g4p4ak_B!&OS(S65r_5E=GkB~h=
z8JQ8X385&Fttd)gBg#q{nGq2wGgM?2kwRG|L<*sll?ahCN+PmX{a)wy=ksySy`OvU
z=iGDeJ>z|fRU$O?Vdd}hmjAY6{4syo7af>cuv~u%_U)mrG=^hrRlR?~8q5lo2C#be
z@~M9Kp5jFXGk7^PAg&jltIX>(fdg9Af}7zZM&kt*u#ZXQgGShOa($Itf3w0A!56US
zS+$Q=aN8P(VKp3e#?HqQt{3Z8D}Zw?ZkgD@kz9uy9>RrXd6~9w=BVtzT{t+V+s_G}
zyq~-24qUK4)<nwF(ZPsINw7*iYt}hf%47NAP58Q=zziu*qip>`F>v3?fwx|;vA2Oy
z6ny&TVV?8w@erwoQ24x}$Lt08NZIYFOR(bCfCK(;kwl=QA53@d*0vB>OL`>U2i_!`
zc{UiHWNM;42S3Ow(}{q&zey>&!V^JNx58mgY1RUJ*lPH#TMYcQ<NU{y@b~v^FQQ<H
zs}{z`;U|M59;tBudA97Mu&B+*%iFMq{Q|cUe1&d2<t{Aw&_vq+K9n&wo(T_8?yBAo
z)2NN4J%)cN^s#EdUG|?R3gMc@m)Dfwx{`Mp)$mNp@d0@_*S&VK3jXS}&s+lLt14-%
zgL8zhUJ`?SW3sorf`?DIFY?3P_1Awl!?t6kLVR#Rez0Z}JasKCg#%t_b>wP;#Yg+=
zH^U}xk2t@FssA*n)5B5y%KJaU|M)2#X<?TMp@a{xT++nAKVgjb8vp0g5C6U)O8Xby
z#5`Wv3%mHRgv`SV%dZl@!qW#1=Fh_Ge-ji2;eS3nso&taWA+SV@QzWFh9UUcWBGz_
zaFyWpCvC8`&vMvL_^O=w;CooKwZv-_9{RWW;1l>w*g2y~STy8-M=30oAhG8MyhVD$
zr`vF&QZL6e+|MUVnGElH8gX<SwqyA4)f=9AvqO3Y_T59l=mi@q-M`ocbN<{%`ArD-
zQ{4WXckqK>RG)_7!{HCRUc%IeMFk$f@~{3|tAKCiewlj+k90KcDTQB;9O=4B(tRUN
z=fg#7H2IP6(Ms;zd+_^vo{>)QY{SUAG*~2<&(;OD)^w{$f<Jz}-*^a)Q`8!bgPl!`
z(oNyUioz?=u)*Es=zZ|umWW4T@H@8@J1uyp(yR4Q_*s!#uPPiFoGuyw_Y~0;sl#oL
zKl_mT<I3}a9g6UU;mQmTSa;HEZ5Lc3`ft(=epP?aTM91J8RR7QuY}kqeHpkTMck3x
zzh|2tz7mB6bLrx&;S1Kv$zt#&s(hIfFiU%P#1^>zLc9g3f25kMt+?Pn;bZp?!=bmO
zx>(?Z(biTy*x=RUhiq^%<xT<eeDbrtC`3nW!lA1P&pcaRpoh-|c_)+lc8R~yjS}vB
za<Z1x$J+}uw5edP`PVGu`LJn#u6k7v?{8dBRHWd^)S!fQIPVPqwVm+eWL>&>c-Wu0
zSQs|BT0Xb{ZyE^NAO!z0xnwZ~Kk0TC=Y|h?j7v_#iAE#-Tj3tcl6&9ba`{hpS>QSI
zEf>aN-AdCLCfKp;^Yjor7OBfk1MBSG+xQI@+1}_v1>ZeMsnG`;(LSl1!~24I+tVKd
zaI?HR{Vcp;*8k*3*rlBRazD)T#9@f!FPkdqB=0|68+RP<gyl!W&R4-4;X5An!sGcn
z>dE_{wcM~s2OQ7!SB<=nX3F~Ibi+K8h0)}Fb`!1qwpQ4$(M>W0J}dX!gZ$p1#ge{I
zxcnB?GC3aE<IZMhV6P%=|6%ylJ=uHC@O1yuZ*n{(T72~6egB|P-`NRR^%nJig79KS
z#0WWGzL;sxaeVLmIuu#{8*cmYr;dD2{eCVhL#|)ss-}H2Owo5Blw9w~d$MeAVZMU9
zbc^tiXWX??_=S4&)irof)<@+DtjsCKN{#<J=EU>I>F_T;={Qn8PRpcNlke4vf3aKG
zVHM|~wP3iClF@|+?&vfr2!Uy<-Dia1w3ACJ3b3|#nuZcg|4Tno4&HK1ww#pz#UsCq
z#bJ-p^e9sP+oyFX#o*UpWGQ#RXLTke1Yr8Rx4TLCFPPN}<bwwtcA5ylE4%(=llBbu
z<8i`5aMGOF96Rhh&Yw!|hYaDryo_)(Q?MI3zQoy6=jdU#GfZRTerQjsu3kZVN#WKP
zah$N=(oW`Oc+JC*h6z4-?voN}Z{b-<?_-A7z8GHp4gckrFr$H84w?V$f!&U5Y-1q#
zJGu^a!!@}v2RFi$%;8hz@SwAIGP!;Z{OtRl!gsh=n92RsRKi%L0$=T8JWS5V_TWbb
zWtdO-N)x%itFFBh{D<~7+Rf#O+ev<jqVwzUtgSdbFZ@h%{_zXA)KTYw1YCc1enSoH
z_NiEaT#u8+A%3~=p!Ks<ay_}CV&2??C)Ncv^TW2US+A4vUel^lyU6uD$13+V0DgTY
zzJR1VMt5DBM|&i#@Z8hA@V^1MPSRefrDz~c{?BvyRGp-~b@N=`m=U~}HeMtK{wcJ>
zMjIAi8hJ&=zh-Q4$Tx(OMlW%=!VI~ELI+^Ydl#aPz_b^NQuW~SyMhCzaE0<58>xS-
z^cp3#VBwIVXC(igZlB<N@MHDuvZTK4XE`?~4$mAI%_I41ABpRd@kxU+q5`{NuLtjL
zZH2pa#u`Ze^6vN_oN$?p$R1KZo5d)p&=41V_^J%g7*Ix0!EuQ!mZUt|@GSlNh4y$o
zXWtHzf9XfN*#ul1T%;!nxBT(S>W3}fC{B_5<)-Fyy>REi83%H`+3)I|A>)4-e#8%u
z{PWDpH7{W$sn<uz|JfUHb)*8Otnd;e^}Pj6fC?G^^P>5F<~Dfs?0cIccqrnqC;2}Z
z*BeU6_#fHRmw%A*y0XP>Lnb_^(;UkU>#DdNNrz7fEm4v3o$|9j;3hn;eY0mX?8f`%
zJ(=IZHd$vv%Hy|I-)&*=<CMu+Qr<_ehr5&h7Uq3CuH^oIE7{Lz50^OadCCYMySQX~
z5`N_2AVr=B%oIkf^zd-av@*Hh%oJ&B$ov-J8|}4%aC$5U|7-M@h4zby$iuT8rEeSI
zpV7>Z$n*2*Ky2I{IQ902CM}p=ahrM;%sf$Zn3NYaw?0wQf10H)xz_^LIBMQW#%Jtg
z<Y}~lmn@#$BJ+dZ9Ap?G&wB%7VJ#DQTfw@s2W)SANJ;>v`gHbaAbjJ){ZE20SK+CF
zFj%JZdK&4Ue#9EO5Cg9{_2{m`x)FhwZo!E(*2f#*j<q!PY*?irmZ}l%ElO+1hoAJ$
zH)g_j_H=wMBk8eQyzatZ;=3HG;VU~1DqVmXWb%Vv!%06ZzLNQT&f809TH$&+QCcr}
zl}+VS8_d|e)yfktG?6{j1PAqgzf9)a7P%J-zJdEvXJlOA*$tHsJK)dB3f}XWFR3Zz
zJM{~0wWkwYgsohn{N`c4QI4Brex_#0!HE^PEKTpn0DO~P&i)T<^XmrR9r$*Q`@{yk
zpUJ3<dS<}I2h8l3kRGDYIeG>D{p!lcb+|K5RxKQ+3UDwY`!{=bUC$U6rZd_|iS6%+
zZOSl&EviKWmXZF`^-egM|6VTQZcByqW_Rgc9+)-jK=&%r>#k<MoWOi~PR*q%8l+nY
z=yH<z_<i9`@_&)Oa8{w_2JEadF1{J*>qbt_w_wvI;Zh!$$FR3Q2-fDW-!2IMRiVCm
z2|iT%w@@6WVW0d!;we}UP?$);S7O;OdBQV!8a=z<2#Ki{J2=)&(SJ7_C(q({3eI=;
zq}UH%i~C%E1g_~gmaPqM5?OLHhi&PSC5_>={T0u3;2s+HcZcD@)2)uW@UnN2xh4Gm
zKxi3>Z&Ay1VZjQfoJ+7#g&j((E;+!HH&hBpybPx?A3+!RWQUf8Bz)~v#Y0cn>&^9x
z+hHCFwgB?}%+Hx3CJHN^JG${A{FeW0Dia*VsOKFDNBExAVS(=)ja`p~>E?D+EFzxB
z1uI*(>u~8Y{!`0vz=QjX<b8dY!co1qaOAb&PuZ{(|L)lqxOtzfeF0n|qV@MC+!8ar
zxdIk`<$L4?{80H$WD&e&qvGz<u)*dWmnxV}IXKoH_PuI6R08+M{}eqy(qq>JD&e7H
zI)NmfO{w#}q+(e0&3$%Z__7LX_cQpo2%C!_yzfG(5!t`oBPR+9n3C;tbUEyq{?+0i
z;_s+d22ehRU+k6s{RQskw%h*{mV8yNJqYKBuRSY-4epJXH^LKF*LINamq^u1jIZJQ
zZ*OKigtMI+-)6w&l}QC8J&40yFdb$~+9{k5o9xW}u@}y*dD&kJZ}q*Pu?L<=HZUW{
ztK(Jf*NAvancS>?o$${1M?%f8#(~5Q{cwRo-OdDfqt%Z5@35{}c2^>7Uj0aM8XlH0
z8~6`?a5C)k8k~EW_o_AQvdH2{jqkx~-dv>=#N+DPW|X7=zuU(3B^Ca7_?Lh>{4}YB
z!3rKVthk{M`*VssCGpTch1&3$!5R$5zmj-v0d;cm<okM!CMk-<d!t+V%<Tf-@cW}f
z;?o%&78W`WEBFfjUV(RP@5~Q?56C2Nkob1iSatg%d}4P^%^dtrt%C9j96cmHOyc8l
z4gYM9fH@b;Vy0k$t7#{$!?tmiB_zJyh1Iv>39v=c*AqWrUfPSLDR8;Ufe;d(FGTM_
zNE*y>+C}0U{H(^3J_j~!67(kV{^mdC-Oqy?F7D^+g3pDVkSm5WjwNf6c!8S7Fa9lo
zPji(|ka&W|uCmvvV7*})wnlgxi-`qkUpZN{y^6#mY>J{7YJm06xPKw>3U91zdraDA
z^7ltwBk>GB4z{bb!MA?3KdOXp^Ndq>z-n#d7SCZXr;O{Qy+`Pb<V6x6QO3R0nzRRP
zJgz1B6wVQG`aTSc4pqA6!g?(cVc+2o7A;(P@Z8fqOw%yEHigC=xc8`T{|r3(n)N%0
z=P2}G{qzdVcyB*r3jBLBwc;AgEO+QBi3i!<`n;M7?N`F<0evK1<YnrYQ8cj5t%$Ij
z@VbN_2MfI4?9qc5__~z;H&!@gzT7kp&a0F?%MCw#wUibN*PDyc^1)t{YuX_&JJ(PG
zX-~^o+j_<yPAciP6@xt$dDsKs;Lq2`Wnn)Bx!vdCzWrg(<l#f!a$mh*tB-s3tHJ&a
zhb2$LKa{x#_QFr&47(iQ^nV{555gb6m@iwyO{>+r^kAx|CfT+ym$d(j!?4A}W4}oJ
zQK@Rp6G!3qG={fK;YY%2!=$}%?V)}ZiC-G~w6DYlHs7p%$`F1Ko~-T!8|Ci0b^z8L
zK2PTYhjNL?>%f0`<ZgJv?(qzPN^p<cXBi*3K6-w;3S8NrS`h@7dkpKz!c*<85v2XH
z%eQ4l4tBl2ll2;0mYAk41RoNsD~N_W1cOI};YIn&N;hE|KEWdluzBa3%oJFsczKl(
z&Kryt&xY$yNj)L)b>%}Dr3+w_g?X#*BtEWqXL%X?@wwP^6Ks9^#AFq`zkTF3iSKL2
zwB4^B9xD4SnGfsTb$j#{p4Y$IRRHS`tEzl}<L|uJx(VO?_4dvum{ZMX;ug#!e_MjI
z=l1<Wz*qRTU_!$PTq1OF;3~|XYHKnH%M^at;SW3T8;noG2h2U%F2G;kaeFPpemPZK
zXW;qKd8T!^s>}41D}3%vV=^_`laGkbjGlr!?#eoBg5TIi#5ur2zc&14ffvmxd(7b@
z^39R#@I?;&kYn)i(p2_sF!Qs|IfvlW0?R{u@RQ4Dj7{NH+IMGmz=Isio+SRW<$kf<
z;&9f_a2`WA{Km>FIrz)Tq*Ll}UCMo{UGTM<ZH#;2QNh5mJ@D<UJ90{J{Zvbt25dwt
z(yI*n4Bp+V3y=3_t;@h^epB@NaJG@ieL46`Tm4N_xI~BJw;&vod{ovP7T=qYEDSe_
zNLE_Ix9vAp^T2vX+#+mYs?))zx4|6xI;_s{AODGK9B`}Fl>rynIQ+Ey7I<ftmD72+
z^4dFdW_X)p$}VqsHRHfv7MMxe^TkE@OTv9&T3Eg&KROuRSi;*v2bcZ2%y|{Ix_RL@
ziJwiQSNZK4am}yfjj+H_!r25^BwnX_74fz+XkM${fLH6vPp`xJn=<RuVCgILk@N7>
z();)f_~WY!@{6#XeICz!xF?x2;5!`IxAx>A{Q1Ns;c>X!zel4K)}3c^CGoub!})uk
z!nZZfv-iVu$5!k~f6e_Sx18s2PU3&br2k@f4A)vEyf5w|Qw`kbanR8fb~Zl5(gs(J
za=dVXV}CkbX@uj8x=jq=tiW#-q(7&)_Q`!cct`l64A~#E4g2riu!mGyb2F?*xpGhi
z9@za@<0UNZZFyY`zH(sSr+PTBQ181a{OyRT$#a<Q&jZ;l@YKtW@8ozLUfjLP0c(F8
zvMz^%*g6Xs;fH%ucUHi<Q>_~r;O)W>?iRuF^NL2Ri058t!K79OuREybEW`4e+{O8D
z5BIs|8Q6m1^~FMX<w2PL6wJxp=S;5u-k$38F|xg3h!VN}k@N58M&L1z$by^jT^>5_
z0hqOWr+*Txp)cS`;?G}gQJ9K_WgM(-eSmdOwN+h*x8(RucEAhb-EyRSjFp$Ok$Cnd
zv**@H`CzB%aUt>U_e6Smg}@CgTyZa9g$SB`mth6>y<;z6yI=I>q<`tHdkFnAc!4+N
zGU;FP_>yn`6h32?zC_CJpYGogkKj8`L|>Egt9$CON<K-qktjI@>wHZ8FB?`BdlcjV
zkI%H1-Gy(YKAN?H`%dtEx(zcWNxigzGp`<(ONL8(C6z7Ui0}80UWa=(-KQk|S)V4w
zsbgTFcUe;h;RDSVCBos^lUtta!LPIGLodTgUpLF|gJrz9?+3tw4==Cphu?ITTKK`|
zzWa}p`lEuMInW(`#5w#_0XBQ~MDi@`DBYbU1UCh79zG2_)Ty~`hj$-(v%wCIE8BTu
zGrTKaR@4$cRus8|13sQQ{gJG1uynz9^G3MW+-k)bzWKRrkP42yy|cgoei~Bwb{6$%
zVryEP7A#@Flspf=vHbpNFD&CZw$u;5jI~==f>S;!z8-)@k7?S<!ap1r)1SkRjE!Mp
z@R`)TE;X>^;W$%HSS-pdz!rYNr{>E97cJ)<w1XQQ?ZxQfJB5J?<oR2iSVXxQ?&&(<
zXacK6X#K|u7mrAP)`6o2mM)R?ATp*;KhT9IRF2Qz$NCYnUcQ}&@IHH@ytC~w>}~Bv
zV*+O_1SV&}{B+At=-|MQpFGL>8B>R5e{6!k1iv22fLrS`gx=x%&vHNQ^IWohT8jBw
z_{1=OM;grLc7`h%c49OvxCeLBI~kGhb>@BHuTo%+bQu<VSgt)Kjr`u+y5xbA@Xed^
zCCRX}@lR@L*eGT$`VMUB{X><s&y37l>XUSzdmke<z%P4rwv+VE`VUoq(LU<wJD^I|
z3*j9N4QhcqUzW0y<MnwPQt}4wp)=^X3GWO#`8N~Zp~+Z~4v+t5tB?WbrB*nTbWeTN
zOXuNz&z-bLdZN(oG7q>zTw()Bf2hy6;ULVe^tzXvuNW`GE^XN0Nm}v^I5Ma=gd4tI
zDB?-d?e#uA*$SuA4SposC(eF}o)<uWn)|ULvVXN-1GTd-h2`OMBt7A2Hsc$3xuE<Y
zNxz<VcV82HF+RG0oZqXQyIXT%Dzk6l<ox0qG7Rs**N0z?C&6;1sluV~2s>SUCfxcj
z$>I{c>RH}Ou0O+C=Q9VmDRCx`T>s^Q_Y<dJXVW1@a=a0AjdlBBkFN}4WIYw#@3jk>
zuufLP4Ea56zolb4U@qa2x8(n~c{Uv_0<&t}?I!E7jPDSiq=&o8%8DM4^f&xMbg<tC
zd3%yy@7Zm}C4PM0JlmuG2+o?0*|z`-QdCWn@-{n4BQ*-&J67FT0?U;z*$%@!Ez1JM
zaPZjEkA3i_EsIOfVCl;_biJ_9O$D=Zn3>1^Qaik{bEo7BSU%LatQDp^aXP#jE(l?e
zXoT-ZAG2<N50uSXHNeSy*URf*Q=Zb!=P>Vpi*qOJzr|mz0v=yXdqviJxm~PMTm<J{
zbMYF2>ks_iS_q$zN_sa4ud)`$-h<QXS>^u1nGS!f(qZu_xyUt=zV@{92E3w7Yfpvy
z^ObcFO(Gl^J3&j<a~W8vh);#TYU`dAg^dpv*pmEpJJr}peWCr|@OT=ms}Svb5Iz}}
zSaB1+lo!jV2Q#iUYGuG-l~fOGVYa1=fn=CzFZ&@<|II#ZbGi%vnuzH2hu<Cup(Oij
z4$2B4_3cNQq8M`g7A=FrDe%qKCnw19U;ITIod(m24UOc$b8#(q$nz=mgDW>VUgiCa
zy6@mVio|=_@Xxnm`4h0J-i!y?KO<)^<xlv9Uh5b+U;Fuo&Ej|-kE?zN35Wk{*e67u
z_b$827Xsn!iFd3_U}wX?h4b);^Ny!R@Vn1;XV1XXv@DvZ;p<`f)DE!HcucZAY{+pV
z&<c*?vla?~{ROKyj=^4=IxqOc>BTuwCUA89(#~sef@$Hj0X(AO92NoVa^7~-f^XM{
z?n;8EO%mQ|z@BvzF*o6T2ZObg;X1yhy*Y3pm&*eMSSHUZDI30d;28f-IEHe-Eg#-`
zLDy6qmQB`ddH`23C^ref#~$wTuYk>27^Szth0O`=<#77P)ogayC;vidBP@5mo|YAk
zIoi?N0JEQc61)jspe~H+f-ADljckO!s{Q@e3GZ#QJ+aD%@2yu3&--8>WtG@vIFq8B
zoxJZ=v`B26fj6GH(C`EPtI+B^32Q1fY$NZBKUQB2j==io0^TpcZfnQ1zrs=VwW8#G
zbK|m6)hAfB#krdb@2i7}T>>BBgu(|h<o$J9{o7mb;L$McFPq_$3kO!4VTb8p6*k!9
zgu3TTxQDKZg&V%`^3S~&@b}PvPFrEIn4jF`unlWCml&KmV{)k!e!~9DLlj=0)}4O{
zfAo|QBHssFrZZ05hp%j~x}XS)Z@=B10c+1LQIPMAjgdjlw_$-;z7ynor0)5J!RxRi
zd-k`Ja8=}9-zYe)qDIXYmaSI*6$&#N<!n!a)ssIM`@kaNSuM$MO?z8U5d3@F=fFHz
zjJae_0DR`k*X<AC{|pNnFT*Sbd|efA{ht8IOYp3Q<i#pDP0{P=Rrt^cCn>T%%$l}5
zPdJ=?G`On;J|8KT69Xq!JP+@Oo2j~JBjMwXeNtromrkSR#00o<nQPz|%%N~<F&19F
zvG2+h{2<6YGzor?bV-S<*V6fJa5NEitSK7!2aoZ#xu?OkqD+otJr%vui!>xZpQS!C
zH(a{=OnfG6^EKjyI9z1aJeLY<XSFzz^-(U5l?C5}k9X|&y&vYN7UU%Phco<=$@e^8
z5ZxW}f4sJ76Zj8ipFO0M1<$KUHCw@ZCzNW*|EC-oa@ZTbL1AH@12eggFZsal<y5~E
z!Yfi{mbYMycJaJiIP}h2iey;+46XcQI91zZGig8CD&%EFj;H;=!2jEi*kg^y3gFX)
z90$H2Jw5tuAUPft>A=(hI4u0n3@IN%BB{dj@VQCjtE7C?lq_B#?P<Tq{MJeN_^kYw
zf&uMuo>e7@q<oy}FtenC<DU%BlK(fZL#0w2&MCXwM*e@@<x8w$a7#d&&Ux5IM#JME
z{O_qbqbq!A_(GF5yvN|`WqX+2m`&_7OkLNm_aEGIeP6IW?7p44)(lQur`?+cf4Mzq
zpbZyP%#V`w323|Sbs51*m0CJ=aGRTSst&yNPh+Yc&SU?*-2|qP3pE~w3$H1SAB4|Q
z#x9J&Y{|3d55dEqmx9({2exV&16cn#tJq)omAPL$`F(YP3y(R`-WlS_En*C((PbRl
z3O}Fdcw`PQbtcAXz)L%0?vdk(YJQ`#4<6jVPnx9vI+*X~1j{8Q3X}8{-MOtUaE!iI
z;ZZo<VuRl`_#LIH2ibqaH%q}Nm|I|UnQZS+zWlTu9?<wwLe4MT(A%~XzT6O|PR`Fa
z|3aiK+Ixe%GV`QiO2L<3tl_jHwEUuQZ9ca~5Im;KIK&4R79Y782v;olTX4dUMLiCX
z`1Xh5Pd{UWpH}6hkofj;-ks8PaPmr-UJ7hiP!vZEzvUm!Ook6P@KdjE!}&^#8k2bU
z$|;i$%kb)F=A2x3_jl{h({MI(RNy0+QSc?>Z#cfaq@w`V?UoB0gS}$XL!QGGBR_|~
z!8HRfx+`IZcB>P8@QRbn<5%#L+$T|=;15kER4?J(%R4CAVKtq~{wBCJJy5<Ceo)pU
zPukO?k5A>jhPQ3X8Y1!abN9s3*1^owRmxp(kTk`mN|>*oi}^E5>t<N=41W4u_H-Z2
z-Bc@D1g{oHs(*tsKhjt{g7?15Oc;Vkk^<l5z%|!qoqxbCUbSo4a7igm?HD|izRN2W
z_6*NCw*XVmmV8Kpw`r8t&%v3d;s$Z>$s?<&Yw*DqyMP$@J@2NO6__*e({vcje<$`1
zJ^B|?h4-6=ko=1`=4s(*{>mml*wdlo9V_gv^kdNnj(GP`n8f?Pk#f@Q92`uc)4>my
zoqp2l0$*7=AV%W-udYk$*ufsPK7U1El~OYwTll}%=Z|iOpOw9vuz*<$-%^tJ|7n#B
zMn_<Jt-9kR{{Q~zh&luKlid$lRd{ND)*n5%iDvMM3fwZZ&1D}v%l*%atOsy+!>$w!
zc;Nk?(!Fr;reYRlSi)Gs&KRB?`QWYq>nCh|W(e;PG98nE&#g<v9f1=Et+$B7sfW2o
zOyLb-{V@XYVCe2dJ2*J)=PzE^)<NKhEzINNa*7>px06qDhhwGA)U&`9A2<Ix2cJ~`
zsk#Y1R=Cyk3QSwu_J#tcSD0=LgQ?q1_bu~cyw-7lsZQ8xV4eRvJlRm!P2%q}zx8_X
z8~#USL$?a^P{<{Z!GZqI%huo<SF;33`pHkeyGguyhKa(WaX7_%=o=?&lgq362j+iQ
z5>NWehW^^$o`R#gwyTT5TvcsCi|}aA=UNR|^i*o`47~a0i8K3Pb~7rq71+^*_4hG&
z>du4aIr!+6)D%lNq>jaG9o`jU#83JYcRr0BBK!N6`>pvrY{c-#WdqJv^3x;V%Wxcb
zfAbpB1tX1w!eJ+my=K%%ZxUI{O@o6U1PuK{`sFY84`;wF3VklLNROR2`$*!a-)EUw
zq=Z?j=t9cjBkzqv8Q`Cr68k^G3l}3asNmeA$0K^+th-;D7~wG?o?YKzBS-rkbnwFR
zkHH^sKvZQB8+_+t)Ts^VkG*GZy_e+ovvFXigl7v&8ad$WH$|)2;2=XfQIfxrg3gH@
zR=)S&V{VvT=)uHJ_)ggib&`MU?c^jW*iM7_^)~pptRk;A95!oUwiT8rmTA<1l}eKP
zN%@+2(P&@|b22=3=7Hn&Tjy=yoYln{VK_|w+C4Y;w#m#Pl0Q-RwuuLPQd6~84E}P;
zSJWR)<CCS`0aIU%ZodGp_xmKszzVDe!IAJcile`G!d)+%B%)!@m$&^D;pcQ>J*lv&
zsYACcJb1wPaymT9^1yaC9L^?VnFFuIT#Y05Q^#>js{61y_nWPnu&Xv-=~KAnVt|i2
zth3eB`WehcSM~P*yuX2yp$QJ`v9u!h>tkWF@@Ba0RPrdfpU303p8f={q>CQVfqw^B
zvGl=)5_a#5VU`p7#=gRl0Ya;W@Nv_qgkku2*MH$h;V9dqnzJzfQ0v#ju>ZIFKS@00
zLDfyJmhklw&)ZZOFYsTnbF(?T<K?>pH1I#VJEk`9jYDNT%<$l{UWgTZ*_FMK1)dfR
zrgMPl`@VSzz#}dVj-)<&9BL>);%C2$U;It#yB8;SEr`QI<2U%7;YQBvtevp@;OjgO
z`0RGyLuzpN@-!8xFO^UKT2Y77CI#b2eOi~;({TXqEh?(^f>(#kf=K*t1J6O7i?DmF
zq@+1KW;2!T5BoS3b(8qY9D=-3p)f<&wQv$&S;L<@G6)`1<&<-V`Bb$xN5B^ye-HS<
z?W=O`mtooC;gJ{MBh{8mQ83kM1Lg$y*yZ%FEAV&QiAoZW{;hW%BYA!#Ox8PP!|p8M
zE+jwOJa07_-(gi@J4Ak;UH`iaiRW%Iw|Q?ctUIjwg2XpY`tZAqoF7*O_pNd`WWV+|
za(-r~&Ww}z5a%L=EM4Igd;VlHzC@b(<x?j(=dQ~HiD&E^mMLWm^SA7+dkY^)_;JD-
z*5tXmg~WHj!jm23|KF`*G1(4VnKN%V0{bRs>?iRZCUPcy$@63Oz7yB~;}M(6=aTYf
z#`WmzN2CYQv27#eks(%zhr}PYqKxz31A8R+xDCU<rrmy%`=e+<QHR8LaNGNUk32v0
z7_kluoP9I$CV75rJuT@m1N#=&){*=1N0d{;Z`jBqOO@QOmhr8gB)*5N-o_;I{5WPn
z-ALklxM++qvcv0(rRmfdj}yGYrcUY??fUQ28(|yE`4Uq9o%L49WQT`6wU|kL`M1;Y
z4;#E=lh_qfpN4nSzTt+`PwADB`r7lLG9MRw$xeDFssGdVe3&KUf2?8+k59wnHGg&a
z;n7*SHuAi|vSstqFy}9O$r1P$#}R!JPl75^Kf52Mw;K`I1)nyzZtsQnT&49^fEQ0_
z>vq6iJ_15ou+B}pd+*_0vKl`7VC{B&p4YHxN4+75FQLBoh+aLMls<Ha#FrTOs$N?K
zyU5%5lJQDM__Zc0U}ffuZ^?M3WJ$@>#qh6KPd_VIO-K4=A?*1#qU8iUd2Opo4s0>L
znnmKz2s*MmWWzqLEDI-Lzs-O9Q(%7mOYfZFU9}5zx8eTJ@q$jUWY^b_>#*^o)de@$
z_i)eSSh&cH!SEc+(po2a1+LQnxOfqca=I593e$ysF${#0c;lD+;k<_$!eQ{6-GMv&
z;QYCRzM=31bLR{<cpGz;Q6#LVb-3j$+<zwT?p63!(_XF9@apU#<79Zh*2c_}aO=q7
ztXuHLzcU=i;Y&yF_+`M~qT94AV1Z+qEorcB@rz1hxH(4FpTrLmJ?GA80H<u1ct_#~
z(KOq}?1yiSyJnZbjEf3Yn(%?dQwv3KRMmEQ6*$IwAiEastgMYugs+vfEs%H?ZDl1J
zCE<rB_S}09t66B;iow)U5{oVHlL&=wet0eI+P!|*@?D8MFWf@mvDgb+DBgdt88-3s
z?qtPyxY01zAJp*Nh1_5g{~<Hb(~}u~^i#Bl#FH8}YZu!DH~Kq<k$6+dk2;H4;GB{E
zelz&H>y#rcEVd+h?I`RgG5MPnKD;fM{w$o9ZSKzix2p7&pM!tIn^JJVHWuciWc*)a
zpv4G1obKI_kOY_hH9p4<^U4N#tidX-#g(f(Xzwo@tS9jZbZqP8X5l8s&+a5Xo3;aU
z^l!K)M6I60XOoH-ru+^|Tv1G6g)K+4WJlq(lIy>iVJiP)_dmm255wxVz$enZKlH&E
zh0RIEU)JA_H0XrybiSL|1{=iQ^J|A0MMX7vVgElBQ%!I)1q<hPSn63DZzD|a<lrm>
zvtJoatbx;&4KyU+jXcY>&*4wyb0ebgtdQvAe0axNdzCb-Zm!(_fVeKej>NMYJZ1kT
z8QvFUqM`stD0wd2f@d8~<Vk+Vn$rI+!e4l{Y*K=6tkzx&fJ@w3^GG~}F=L6(hu{>U
zupkmYum7epoeBK?`pjFhebZ#bs3go*n{=0KZ|i<z^G-N&H|vxPOqD-0wF%xel3T9~
z>pK48rGcL~?_`sMLoO>X4RhoBDWP~w1$McxU-TQyqUsY%evh}_fxQD>@A+d-;`v=X
z?zXQD9(i3(N8&f!d5|dc0zT6(`Gt&^4fuTfziQZo<@c4nFpXl3egPbm_TPUxupRX)
z--mEGYxUy;aH8Xf$-6Lr{Pu7|*qpA5=MHSjb-9PcgOL0%mXJj9yXjoEgh!tbOeDgZ
zv6&x9Jcx_cGxkyNjr^k_PH>AsUv&ih-S)u;5)Weg<==|I@Kc+6M}pw&55-mf@HUyL
z`+@KfOS8NO+*ui68Vw(rijF=D{}XtZ6A9bd<xrl6ThAXmlmZuwT3VeX`Q4MVli|zP
zy*?a+UupOF-GN=V>u<1t70fwXGT<Ldr~HiJ`+SG*=EA2^m2wQ>=>0LXBpyUG=V9Ih
zaOC={<^nj`KtOLl{A1S|Z$4}%qgJ~c_8O6zA@L#TchUS(hNr#zeip)AKP*i7U}=GW
zwNGH@|Ac~h;T8SjN)kU}{fEae1<Z)qL(kxdW>wY=u*8#~Yo+jenQJ~{T<E_FcP}Hq
z*ELeD_X8enTd>T7SraCed*E`~sc>?BrjNGK_rleeRX&mPqs&kYZHFlz$Zbr5?@d}C
z?S%KpT(Y<c7eDlBc>}L#285FF+T}7SnJsYooUk~#z8m^p#Z<xLmcqdoV7an&g%@xN
zRY->)e7uV#|0#T8dx)4b?7^#cxDxiW7z=QOf2tWY6~kds-*atXiJQk$OW~()%$BWS
zmJlbleAxV_xrjN8D6b<0a02V@7Bc?(2UkpID$Jd_Z-JCIDyI0{bhvR*Hsc^nGnRKF
z8dmwaw^;*D*>~SD79KkLoR^gEw~fUE;qdXaUQcpA`hC9>b`9nfH0PIv53eUNCXn>4
zj@|;WaD!jzO_)RRvmmKoLRmf3GvHr+gNEF2na+RAci^k)XYXu<%_Z%xB*82nz2-N;
z8WfU}<aifr==8~W@{^;o*<}C4Ma<rRQJ?ZgF!|hoBXS-#k@~htneA5;OcPf8XAWj$
z{P`jVZU{Ska27rg`Adl$Kg%IYPcq(|?Z!*m2)Ju8hl|9o-0`Yz!5dcUsCD}U`{n$X
z?hi-IyVZ5Wj#p2xd%)?DQCv;%_fKCdykHJxt+TJ;psGPxSNMqenMpF9{H-<J1Cn2d
zMrMB@Ea$ONz!{FHS3jErJ6<cBae>uCs9uuzlAcb5&UUc-PL7FGSog^>^;7VdKVLOS
ze93v+L!~ER=BQa05?}Jn*ZFWOc$ZCM4T;y&X!&dP2yFYU_XmkD`I#lI)f`r?E7?Qh
zOO724(=mqa6`Pz$e90_LL9RpaD1XlLi?EF;$Mu8o)}ZHO-f*2qp`9MQ$2&vK3zj`}
z=aVLUp|;$C#2eawPoZExtXY>)N#aX7nTQCh!twVySxyk!?`_%xYs=J~Iu4&_l-Ae<
z&uOua?t^=els+Z-e|9jaYQhY%cckQDLHe_!0&uH{tM6{OoZC;8A3k^L=%g%s=R?kQ
zX1KmXFi{cS>RK_(2z#*5(n-R#=h~U6;oBFT`laA9)^YodFz;1kGZ8q@j<<3a?-Q=?
z|1OBZIx%~g{=keq-_8lZ?tK=!f5J+|yY>melOJ=2#^CnFWocIUU2Frx7kJa|gBv!(
z-ZnF~12C1Zm>(Tnu#r8Q#M9a|;ik_3KQr)G?1UZDWK>qRqCLU#j?G&*+|Pq<4c-(&
zcl;&%YgblhGpu^`y;L*&ZRhC?O|X(|tOSYoRgkiL`Vst8LFX^oe%ESMVgbp2mUflQ
z2RN*CXfXknI{T!JykEJqu!zRPl#!c!Ncw2TF+T@*X#VV7@;(;)?uNb-tT<CKN8*d=
z@t=EX1D`My6np~rhvp=ngd4}|n~ULZmPbPl!Tev+1ju}XGk?lNj==h>3to3%rh>>c
z16X=9ov}Y`*eO#^(%(z?W%<I9LK~zFVP0+BB}drdfk=l5{OVhckps-LIIDXQrrsjv
zZw(K7{NvVx^A`n#$ou(Ut+Y)laQw|UBQsc6B&&Bf?7B@eoxK0AoRQ;R--7o=o(d20
z{(nwfPInc4#O%M7q#ye!n9>ekxX5}y12&N0bM1uV-Ex!nz_Sx0U*EtnNuQ?3_sXB{
zwkz*p_rg7?G9-Ty9ZNTCkZnIhzIQ11jg|JonI^B&1>v8@LVLc!)qW<;<a?>niJo}`
z4pT1h;(^}`=p_GwxkoGC(!*X)nAE4?U21H;j4<^{gN7wIw|w*aHGI!0f8OZ422*68
z_9yGhoT%A9LxuCTkNa|O0sd^nT~7mx2_!7d!CIMps(;D;mYGB*;otU;7&ah1?q-8O
z`QD5OJ$HE#=|)xua>)1SsX+Ck%dj%#zooCRq|?e<ay)s@E{XKPyOZkE|G<m)DO<bY
zzHE)CukgOcYs;;0i7KVlFzjqRyhy&ErOqn7B-by~?EH4}y?rj@PeKcvf2Pv+Ib8Sl
z)7gh`N5|3ZGI-mYIE?~${6*b-AuQ_Z${h)hT|Fa|3qMxonTUeV%hr0Oz=wP{?K}k2
zwg%lH?F)Q)g{y~Q0d~2W5ZJgbCUcb&-?u9)e55_1cv{qB9S(ID+U5;we3I-MhGqBA
z>yh=L60%<8j>7G^TQbhTjD;@S2H^adpK~YR>xH4UL-2IqKYdGB?AcD`PjG8|_OdEm
zn<IAd3#?jtDTlPbNVJ7g|A1ZkuJw@ip&Vc5+BukeTZ7a_xTc6!`4>F1E%W#)+LI!v
z?Ke%q&d!66mSHYNiePd)2ai?t&cNrB%@2Kt<F6kKpMtge;`emJHb2CQ$6%V)FHGck
zN;g_j_rr7B`Ha%xyYffn$@*hn!S;Nau)A`k{2SOma(d(pY+7^E`V~yeC0%|NW-4s8
zu7)vjh5HEX$2A=J1U`OEc;YB*?xPe{1nc+oo2bL;O=jhJ@KQR1;9mHH*jonDeitK<
zk+chb?=-HG3Dfd6J1N65Z-&2-_CPv|A4f&une((PH(>25rX6DNW3TAb32^24^mKkW
zmZ3DBv@bR?)|?ZBuW_o4U4{D-4Mw)YSJUh_hrqS=j!(JaipRg5f??nCKay<lXJMY3
zzOX_y-TG#DuV&%6Hyl53(~BOC&icf84i@9i(`JOXG`YLF!m_mT&o{yeTQieS!8sQ+
zVyNN$2h}F+U`ypD%5@Gr55muIpMZ-7+CKb+tE(B@kHf6a#|#!=wn(=ovfiY#=zqVK
z;cOi)K3zDZc*uSRKKj8xUlYF4*snMXFWp|w+zVR>oXr0TPjSe!D8V|e7J<LujNz|>
zyWrM@-kD*zdZ+OP5!m5&#f|SUZ!le(F#Nn$mHrECq`z;K2R;)Z+&=^t<WiV&!(r~(
zrk`L1TeTq4{=EHUgm51m)3D(K3%qeVbxH?p$?+|08tvJST3tSq{CV@wdZ*x&r4h4s
zm~Z4aHEI9uurAx)2_I{H``;*>XfB=l2G%T~x;6kePA{Bkfo(EJ2Kr&Ea`&%w@N*YI
z`Y!nT)m^0x#17OaJK+tyh2qt)U_;X@GCxT?chBRuaLCU_S2928vVV)p2l!I$TyiYz
zf9fplM_6rfW<Ob9^;G6+!T@Yr&*OF#rnF44C)dM`aSIn&pEYz<{1>@iPuf(qL*cqB
z_0{9>H8z>sr2pXIuHm*7nCGy5!$sKkzred|a7pVPt`K;IIjxKd<stamA#HznTc=z&
z3w&EZZ|VX(JoJ)@3znI)J9q{bqWkuk7tR(mpLT^!jJ$S>z)#;ecprtk!szlP;Ca@d
zw`Q<*pO2srY_L1ZgsjKAr(rZ<2W(^BxkBbU^?FwXbHYP<U(Li}xuhfkQvPeQnIG;T
zu35ju3M-!Ar`QTJ9Db|J0SD0j%;$oy)}4O24SpRlAwvP*<i02`3=5h({zTS4W{Tx{
zz7rnS7-P>se~{u84HGT+Tm9iPY4C7ia)T;K4{Fo#h9$Re`AE`v){N56!*|Ed7^=ZB
z={<&||LY{nmFWF&hqTfBQP?0@k<$Qvakkf=^rz`$3S2n^OK;H;CjD(~Ozq6a;hw3=
zTrrroAT`(;HY(nBNCFn-HKuihrLJiHrGpI)bm*Rg_kX*U#{dV0M0EJT<yC!JyU`!%
zq1*ZFKKwH9TZ%HQ5U@#x)Q3Ua`@C4-%-u_Bd9coxxwlMk5v@cCNxzgEy+GD?UrN6e
zau;59DKMsjU#J%?B*W2y+85T)pDjv5(U=04O**%)z`0(sdlKL~H#e^Rfn~ifGTeYY
z&PX4bft`yVhDO29Dc%N;!(88I4#&XN1`^U^F#B!&y@BwANz3s;IBRzdV-RfcN@Y_&
ztXwm+<O*9Ud{OuSKWgG@Cg<NhnY_Cdj@^~KlhoImdU~hH{HfB<@0ZQtdU^X-weTB8
zr%pw9c!q!S8SEC3l%)js$JiQ_z#7Us0@&e{QgPpha7d_$J}GbFf3JVYhPRb;36c8B
zDbnFzD$LwEKRpLCJ&C1Gf;q;I9O;K0#Lvpd!IU{}!sLGBGubyp#s^$$d&v9_R*@B9
z41){jUJSg4oqhZ_2g5p6oA*6|qct5geBp}%LM-KQ%sY$8^Ki4c`DzaAwo#wk6*jQ2
zd3zt;RH55U#w++JUN64|=l!QSXAA4MBwk5|i&YHoS;40-zVwWMnf3JAj>7T5FZNx7
zoeb@QP2oEm$EEz>%gv|q^<gQGudDtr)oi5YL0IVx?GGn-;B&$iGJZnl?rOOUd`jl^
zE_GP#y}-TW@N#(PNk#ZRGt>DKu-*D*RynweMaD)SE_*4uM;y+5&M9pO_t<((h`?{+
z6}i>m(d*G$`Cz3y&L8UVn$&K0Uih%gb{j=F%h)W99X1c#Agu(y6n<vF3a8X@af`sB
z#ofNNutLD}cTqUIKyL>%oOz47ivw=VJ!iI#@gnWdda}2`7n^=jtib2;#^b1A8=0*#
ze_)+m<<^_v=$Ow}rs4a|H6Q-6qkm?Ew)6+QBj!r>2Bgoa-LV^md8ZQMej{DuUwiBT
zY_#pD^$ffm=)JcOjxe*<AA+eL6}WW59uwSL-{832VXxX@>Fs=Ry|Cel>d9uf{ZE%w
zKb*?om+=~oN&BSt7UoTT`lbe6{1~<M9o$oUTc{ddI~W~X53_0Z8b5)>Dt24FhEqfe
z){Ehg56XH^;8fNbiHF2RgImgB2j2GHT=?LfUdmip+MAaq6BZc@?6?nyHnQ5J!_QXy
zbTeTlR-34su&qDmmb-9($x*cgc)E|C@;cl>mFE}<N7QGx$HQNy^IlvfW=lVK4W_ug
z_VW@vB`3=n1wWyqPrC@8rV*gH0N>*~-Q*3wi7#vmfd7>R`+34GYAMfM;F?{7_gr8_
zIiV<5xR!5Q;c2+C`|pG)y!UGOCo9;@HKghYTzawknk8I1=Wt&OUNYPH)D%8F_tje)
zPCM)FU;?|EHJnt03yQuaknvA@YSd(v;OAB+Q}@F^XJ`|6VgGBN8&zSBHGf+^m}!Hi
zpE6video2+zJB}VJsFs`=mj@3+@mOWR1!Y%Dv5f1Guk6npM`9P=d)Hn{Do&173InN
zN!G~r+DUlL<)t+jJk=!|_Zxn2i>iDJY&ptB^&QSwO8mwQYdL#${($KvKdUjplzRW^
z4Z+jFXPv0wRf>`=-{7qkRka&owvyzSUU;T_fNKup#TITUNesZb=XZJjfgkJf-06a|
z`I<6*!Wmxn=el9)A>jowzw+t4&hUF!A=cnfFPvE2e5nKG?0lTp16yn5&o{$$hCLga
zVfrB6#CNbDyS616@0LKbx~Tzv5ZHU=1?>7+s{1vZrEfS`4WCqEFsgyY&-<%9f~Cyt
ze!PU^>;7CXfJYziwW)wpE=N`0gZt<0q^d}IFCAw#OfS4Qy9C}}qV7iKFER=FYdnS1
zqUsytVGdK%Cxx)3?1DfjOxF-_xEN-Qj_|((&n=oZ=E3W0l^yQzmq8c%0+_MiY^NJs
zx<&I-HoQ<fY2gT0YiZxlfdg`)i^zOLZUe4u>2N`S_-8U+(CQJ_&kQ)zp=B2tPpA_<
zVS5Yakv?O01g_=(E}abf@^7vp^AA;DSKNz(qo~c;wP1JGY|TVi)9*=x1|0L>e#ua{
za<k=(GW;@4X8AHKwUyOC30^K<a|?hebIN_CVK?#7Js07|$LHH5VQr?;QZM+g6z|%0
zn4<bth!4!9@%bp3U+C>&w{RBDe-shQ17EP%*Wd<kcx}|j1;_N!t2x5dJC<qK;GxBl
zP0n!Yfd*R^IK}XBkS)xVbUtPitbRAl(2m%dLxTzyzRa$27=A6*d}a;fIg_=9smx%}
z&zbcr@Z0u>0s63M?9u5z@a<-AJwv!(S5AKh_THiPLJJQ4`Q2w6PB-5WqYX<JG`D_-
zCBqsh_P~cVFRy-qi^s3D?S*-0oR1E|vtxQXO7P3*?V;UpZ#Xr(3Y>MExvvZUVA^y|
z27cexLh~NpDt5_24zA69ZcE0uzN^=KCkFd41jf|Ee(ir!Bw()*_t97I_?}W0A-GaQ
zelr;_yBczGKp3v(lXNBHX{BrUkMO`ZU8a(Y;YYih1-HS;CX>^T;Y{r-N$l{Zm{LA6
zJ~whv;xs2r<yY>T3u}EC?PY{n?g!n=fU|3^<T1nCn-k1a;m)F!#C0~5pU2jh6JZUS
zTPOd)v9jm-<Kc>JCfy5gR*gDsB-uWH_}&s6p?%oyD*Q7(je8p2-yj%w2|i>Y^?e4W
zGFAH?1fO9Xwi<_B>litFNjjbT&Iy>>T=JYZtZ`lB?l*W_#lMuZa87-}xe<7Sm!6Re
zY)8*w`2mhPAbi0NUd+F><0H(-?=NWsw=}J=HNf;%$BtXTx4V45ye8WVPn{z3Gv7-@
z?kj{v^t<Er;h3JkOpjsLmb!T@So=WbNHl!>*fU`=KeMJ$tTYxr^m4BanLlatfj^lE
z=HB2C%>#e&2s+II4`{dC{f+VA3?-i}<XO=^a@nwzj3@v8SXe|6zMkj1>noi6IA(<v
z=F!_|PsXG3g|#$ohV|(sIJ@EW>uaSH@cpgNwOZlL9ZDe^VUfBc>F?k_bMNL?SWsSH
zeSbs7!(VWts9%FWKM)Ce1qaSZJ)VH8IbP(G`HIw^{tKLhhfVFN$as56mFejb*so|^
zz8LN>=Xo&(OU>Mmehf2Rd89Z9U)ZNzc^~fV@7yp1pRmY2dk?<jvoO&LU*4>fng;u;
zZmDdCx2FkF+=5?6m|uSkAFFDYiG}YAxmgv%*1}a5!SL!yo8VLMc+rG7nQx#yZd76i
zt1y2b4}x>fQ>-h)?+d7_ufTief6FStKS#8-UxGE*w$QM{FPY5d$@W6^8&%oh;s>uO
zFT;OtWu`1Lqra`ExhoQuD~x(K51(Ijy+-nvOQt^?fm`w%PsG7{`>*``2B$92GDpKo
z*2y0`V0H1;FNrYs{b1U5SnGcJjq7m8&iL6Eu!d!XLo(dJ=(D2+zD6U)P3A`=+=yT+
zgnz5iPLS)P%;KV*PtvzO$h-}oxg8*z0-t#w;&B)DdvwA+8Mf{f5Xpcysh%~CfZwxD
z&y)ETLErU5!eJ4kxQAKrDWCsby<i1ui@=AlagB1OC%oi7D?|RTaAUp5lkl_r(hcPQ
z{30V%Z38c8A9_OOW1M=WkY^10QqV+{!b*GS`V3*UmMqmGctZ!zYc)8A?l8kM`0(h|
z;%<0|a^gi9eB$DUVKI11eSAEbA1k)AlXC|wWwMe%=5ORJx%x7~KR9o?zkuiH_dKMB
zDOf*rll|H7SY7(Tg!|pW`avzc!%DJr4Cc!mZ71cCA%6Hn3jFt0z&|oyBu|nlD-DkR
zrBRj(->7DfiGrsO^?oJSYxT8?WemKm^-4V*<}9pi4TDWjE!~cRH}0Bqz6y7L`0*zS
zJ|f^f7!0qvR|R{)Q@I5?;qcy1<)1v^v=;H_f$;q1E2mGuuA9|_L*d!;u`iCpSI$34
z_J{Spz2w!0uY2XoUxc63cKGPRRK3D^Uhw`6G#|)(-bu4f`~Bc8{|QJd!*6PW%H3f1
z2UY*cz}8AGVIHtGP481F*xzGt$q81`@f{I?2LxZgc7a!~zql;~7j+gEABVHl?3%b?
zu9?`N6YyMmdEgfK-i7nd`ml4EO+GWsO=F^D2#ZO-vLW+-Pdms8s=<y$Zm}ET-?r3~
z>hO)S-0u{y+aqs#Mc7Wve9H>vD}5f)kyU~($Rv0y!TEp7a-`t?8(Md!VG7p}PZ{`A
zM%Xf$A1rJ+IVK8=*Z;8i0w2or50QWm7$}sG`M|Vk!}Ef$I{ny}kMPjN>^fms=H@Q7
zE_iky<8B_<fW@@28a7Io$rOO&;tK?y!-vyuv2TTs>Uz(T`L26f^VrD#*S5|YyTUhv
zXs(j|(>KJ>8o^H;DJsQacN*SPWd3Sygp~~0Uw5X%OEvg$;JzmE`$jfvJgRVPR>~go
z`$s-y>&wGmyQ%25!G5V4Ib{B-@q4RacK8a-_f9e&El<7PfD<-rxhlPbn3CruBkUrf
zV8sv9<p;(v!~N4e<=f!&{T&oE@V|ZGqZ}};uuSVFcwQxPo`qOyr_2;1+JoIRM9BPA
z`{Iz5-|(xw8&*~@f38A^F1G-Fxl6W%66xhL6`vl$FRC2-*O5N5nzuV1UaX2Nq(-`!
zti{<lvVAj^J;~1@K5r2O2O9|}lKHg!b9bWx;k1a9A7uXBgDFj)Gw@_=K_xTne`NfD
zGt3p_#6jlcu5MK2KM9Ln_Wu9zv#NYCwSny}$?RiCy1KD!lR2z#S(%L&PBZCTIRY;V
zK4{zu+kHJhss)GU<s}Qiw*uL@_rq-Zwtx6w*`-r)yJ6S&mi1)*U)f2DI%Rn2Nu$3o
zeEem0p(rd|Q=z{Tu6(t3Xge&j(Je<DuFHut=Y^%|{_~N8FL>{W<c6)RncHRH9W{P`
zS>c0r3wM=amH!wOSl|csd8@nNC_0-w8rbi3)Vn?Ky3g-ED)^JkL?|gA6sk8~&oZEW
z<jHHZ{jj};@bU~?@Z9^6Cd_%n+ie^^r)dzZ3-|5Vko_H&{FAGw4c{rxiRp$nt(>PK
z<<oMz%*!sgF;~ErluxJ35T$ppxy0iQCrEy-$n<9TpZwpa7O*tE+|_4r?j!$Wj<Dhj
z$*D5<{{J|-?|81hKMvrjY*H#Dk&(SZBH2lZL}ZhwY@&pcC=?>2jFi1c-&FRhkh023
zija(q63K|)>-_$FKF;~v&%O7|d(QiQK6D&U$@|`=G684vVb{RUK+-;h2mjvBh5M$x
zzBt0iDs>rB;rA~>P6Wcg_orng!3Pxg<^{l?XqI-zz)V*?b)w*){N}(&Smgm#)?GOH
zDfi!CxTpTO<|Fvz@`zOsJnHc&^&y<SU$M&<7OnTbm;rC&PoVaJ+plkGO@nFiKM3xy
zS+tbvQ+ShZ%7`<(JX-eV39P`rVqyoY=4vOD!9B&t!)@VU`u5*1;G*Gd3Nv^Y)mUsJ
zELf~^!5H@bXFvNIR%K59q6@ztagQSX3F}RPBigX3`{d*Y*pu~Exhm|VHXb$%zYwR`
zs{||AS$zKro6K3q;So}WhetPr^ly8LTUYkOvVE09q<^DM7xNH;W$2j<snA~*SG}O)
zBOdT7+zdzNvjyyi8$T9va=?_@0lQe>t|kT_c6eC&+g(ODQlMj(Fw8c`vOo(<76^C=
z!deVh9Vy^l_k)f|!bc8AC9l(Ay+Ww(5g9Mosuq|R;T(@!%1ZF3>g_(i;nl?Mgu^hk
ztMAMtym4ut;}N(^`6l-SEIap#Qx$fmGGO=!ALyo^JqEXUm@4<c9GRwCWc)f9TKB9K
zb`E~H>jdoi^7Ys|_;bsFHXZn;QOt)5SVh|Xks)j*6h~POH|5Y6>cbJ$XMbkH`mu+2
z$#_X2a+Ws>9yq;M>i_vY<AcIs_Y+4qnj@W8<Nk{~@U}w%PN!fUEy?f;aPjN=3KlSj
zwpi^sI6^~jk2b8ic=as}96n>Is|M4kdOx6p&+n?wR)H;CJ~C{Cc}hO?%E2u^Tl+S_
z@`Hz@$ari$Ep}ps7VFy%dbSd9P#!18KX}uF$|^C~()-%Id02z_{S^7V4JlU#t3U8d
z6?IKA9vjm)bxy;%QSRA0;70d*F27)1`5zS9;rQ*-!{hKIr+D-V>WjDYRjnDgu;SU&
z5`0d(yJi&TO8$C$5^jIuWikP;KXuC<hi}BbYyApue;?dS>SIb!Y~nCXJI*de#?xm9
zCz(FM42#mXy>Pru(dT}68&hi)8BeK4HyU)p)J)@3t#FCvOU`bXMKJjP?<a>m+!@;f
zZ`_scP1?%_`3{>lk}iGp!%JA!il?Um{<p(^BN=afWIm=f!CNF5Ez9BE!a{7d@Q|)<
zbuOH!7xLdrczpODYYxn#-NRo2&#hVHkp5#p^;I~@KN-AhQzZQ93e(0?*ht>w>~*;K
zky;YTe@J0Z%{927KYZ&`n5)i$(-rQ&R+Rf3{-Gf3L;AC?b$>Vu;Rhl*xun0NXbbpJ
z1XmUOvLf$y(?o6QNhax3Y>}pLJVQ*{WB5D$uZh#}!?2I658yfDUF`bsb~Tf4@vzD(
z|F5LKj`@-+?h2nBd9hUm*2&;raf6d4g~z2}l|`OR5m-z68k-0#?H1)B25X*oIK&M{
z?Ov5!ra^p@)J8fXxa~}g-CuYjlkzeTthDQfd=DH!6{$hSFS7_%moC_NHF|~2AG{w&
zoPGsQk8FQO#;cbF++p?b_5XJ8i@~wu78}apckxjRWV|YSJuO`dpYDsyC-arhsdk)M
z@Dt5Veq_9oW&M3J1OBgqqURtSRwmw*L_RO*o=L{5`qlE~1X%Z(qd6Jx#xnMghQfDq
zJA{wGHh~pvAu!9!mRoAD#O*&3{;)u)m=PJTA`V=wzY2Fm@Y0j}mz^`8?*#MGUHzm7
z>&$o$I>6d*E*;Q?W6YkNIs^M2Y2IuE3%JRITEoTL>a7joCn_HQjN#e{CJA%+Am5Cn
z5lrJqd54rIjk!qHad>4^&y<vRAY*2qHf;G`?U^+kpF6Cl1|QN52|5qciI@hez?GUl
z1NQJ)(FcnM;ajiD3SHpNt8^l=uyAV*4XIx)Bgaz2;P1yqdOhKxjpdyp@QX9=r7ptN
zZHvcvVPgk_0y17@yq+D|0cRiOr!IzL{bfuU;2MVGJ!HHpw+IZUgBx6ag_XeT2N=AU
zs4@Sk++t4J*VDq&d5iFB;sI`w{@J*2z6CDG5;Dk#*?(Bpx51mVs0vAYQ$3m@+X$c3
zSpAX;V=s5p8~Dt&`WP}Ef2V4jegWUTT=n`sd|tz=q6`i=dDk}v-o52_Mm9<3ip&p#
zldEDpa$&A*hOD>Xl5@9@hQLQ`k9-e@bBBKT+=6$laV&<wQf6s=PViytjg6!|Z<NRX
zKEPe?$NfnDB%iB`Ca`p6gLW+Z^VcWg({NE!X=XJ1={0ML9_;pCq*o$r&fwX395!pc
z-cEi`$Nk8YV@F^vc0L!<pJZRQC{}?zTerN)f=>)2^2xz|lKuCKV8-Sjr)A-jzhC_-
zfQRCQTg70ikeybfe>3?&eO?eg>#$Hp`ZvymW1qQTtFVj4WIizbs#%Q#HmB76uLD-D
zpfB4FZ{1a`_y74ogg@t2xK21acL3>nCG|1Xu!Q8o(HXc+oPT)}{DkiQD(TNly^6lg
zQQ`NM43yr@!8v-LS%1N1<^ut<a8Rt>#;@=V5&sj5usluFfdQEH$%CCF{e11v^%D5H
ztj`tF-~X8R-&G3pWf*so=O@3)+Pg*Y`ih)v8_e#mBlr|<{>pi;1ui;#Cpi~Zk-ztn
zT>th{T8{a!$)2lwUcp;`1rMgdd(ZvUBlVA2U9}(s&dqvlP3mi|`2u|yY|*ZIkKErx
z!`zSI@V7eoDRO@)n?`hR!qa_adotmqrD*nG*hKA_cnTaHr|9bpt1BF~A>}FR`u(UY
zZ0v6*K*odMAAh3M;STY43lCsVDudUmaH3h4KB=$adqd^rVLAp`E>fS{=)O81gl}jn
z`jYu2#T}Mmad>7a;aCQosP42=3}(}KoSp`M5lFkk2WR*;J^cy)vF8k9hLuzE8Oi-M
zXtCHpNBmDZZw+qzQh1IER;gm9{0Ap^PWS(##PcBi-BbpQ=bGY@YRm9z+w-e*aO`jQ
z(qHgEMt3}!&)q$pxo3trHupChY<hewdK8xW{i%L0?5V%nFaoRoF5uvTjq;Qf`r#CV
zzDa&~{hGdOAAEM%H-#52y5DW`2EH)z$W;VBzIimP5#Hm$e4XU4*;??U0QPeh)+O`7
zn&EQJd^q@Ys-+P8pys;&Jy_~xOe9$^aF1})iGe+Ocv8rG)WlaJ-v>_S;`~77FM6|V
zSNz~er=gH-@NvU9TSs_e_i#Ba+#u&8;S6itY~Dcwd(gbdI17jHwH)05e-MoGu!mQD
zvQ}4d|DrZASe$|#ZWM_xz_(&Y1&v`Z*VNm;;fIg89_hku_W6}RU|*+s#}lyg>xUj>
z{=-&nZ=?kO<ta!f?Jr?ThDQZH6_IC3>c1^_I)enf-LN){%y+`tocknUn&!8vq&)|>
z^uFSPmlnQxzJ={4lcKm`d+&cjP4I)7O@3S9Q2IR<wXme_OHF22XNyE>HO$;SUquT$
zN9#{KhYKGS-KK{ZcLzLv3e!w(^;+JH`azxjJ`Z-`YfxE*e<qEDWWy{+`9yxezB5b}
zk71o(9~P(J=gZPNNqwH<qHy^JYbx4mlKOs_DqsFP+^!jxM*2%L%8x}~U^m~&F4CV?
z@L%&AgjIqjBuIa4@+aqK5Bw{0w`~yIVW3t05#Cg&SA7HiIp-<W0l%#cob`bN?=Y>u
zhj%qpXkUSOSLD2!;iaaZSKZ<6)^?S5Fq5&fG#L*+PjZP=z|wWu_GG*a6#s9r5-u>2
z<gkSqdDe#V;GM!AdgS@Eu;+GB0o>L?MM>sYFH<_>lVCqe-Ge7!helKTWO&9mKI0f1
zcX3qS4`!tO(W3&dd)ZN4gB3eDS7hN8^L-6k@T-iQViGV-cG5i^_)AmVA2L5mj}hzN
z3kTcN3vt1ZekEn|z~=Oy@3X;{=c%r4fN9q(o43N=X)eb$!n)tP`srcDg%{c5o3Ot4
z!g|YQ*rAuzYZ8vCo7uaL^%JGT=A9j|oLivbB0Ssh{P73)zXYLkb1<Xg@3k`cD1T%8
zB+Too`K|(f^nT{V7+l@w{5%&{ZiosTgf*{L-pGeruQbYkhM(1ZaY}@JJ6)W+Nd6D}
zat~p)$S1t-Vd^Ojo-p`>zNK+99P4p=CLFfdQOMW`zdn=s(GTWUv{oU%?=)yKl5q|8
zrm0%2fd6r=-gSnL#(N5vz=feQ=B}`c)0d%QxQ1U_!xCn<P253#pK1%mwQbh$ZU!TF
z^809VuED{^u+s1C>5pKpo6ihPV6iu`X5{y=DidEH)`YECOe4teed+T|(`dnJs$3KI
z;5YAnUsHi!T_4?j2mW`LRa*_#Grrat46AVR$n1v)R*q3!hb0YFHb}!h+3dF0;7#&J
zE(yc7isP}D;MiPCRZ*Djd(BTzSjoob1utyje3#c5zQ%AVa33tl?0DS~{ugt3kpq4g
zs_@hn{_Yq2iWBZWwdP<An>Pg)GQu%Z-49R0ySVT9Fu_eGRez1(Eu)b$RPYpkoQNJA
z=o?o-19NHL2ssX$FvUo0fQxA?DvrQGUt?A%;7@|OEb6ez(J1$&jacvN71C0G`3%Dk
zufWUmT$%E4)9sM|=3v*@wch=((+B@+^RRExlC&he)OTg>2YgQH(>X!d!pf;;8on{t
z&$$oYk!O+f8IGT*Ke-2XPSNrjfFB0EDclXmeN&m}hNYaIeBBP0vj{!!g+I0)tfzu+
z7qnT#z>522?rwq8-%Lf_gN;isrP0DCOB-js;RVTaZrflh*%98$Fw?zg0g^x8wVBZ#
z4twA`zY`t}9#K6D%O*zZ?|{d;dR~~pdonKW;eey7rYB9{GcRuWu)_>)L)Q9m*{ich
zd0<igg%~|JwKB<!T+d;JjyW0l_MnRZxn6UlVSZ`2^e$t;E?Dn#km(`?;=!{G2g&(O
zC_3+3g1=LGDQtz8tSu6M!n90Pt~7AsKjm|C@N0*mx8(ZMe~R}{z$#}&*4BKnp8J+D
z`v<I7VPy6X*1x;5djzIax+*XLr%)f)nS|Zup9g)0LzQLghTyTo>o2<C@U-<Xl0Rxz
zaeF81pFh5#AHF7d`{+A3O1rS-Gi=w}lGY60<BL=6f?GDQ_te9s>!%od;K_VjsXF*|
zo<d+N{J!Bo`!aab%Rjp9@UcWa&gbyoQ}qXHVCvoJCkx@ify<lfVB;f;h57KqMzbrW
zaME+#p>)_Koc>5TOy8fSm<D@j%#=NW`wp+WC&Koci8r6Z&nc^g9>8{gEL>CJvu*5_
zk#N7`rbFp)gU9vq2)Nf~q$m;IEHXHC3%<JTmhVIO{%lERAnblf%`OZsW7^f{3+Gx6
zNJPM2ByS(^fit5jGj781sy{Dyz}tQrxCg_fR`v~U@WFZU(QEKlo3_8_;g6B^Pp-p!
zKF5sC!TanV?(>E{dpW9%;WYMVRlabo?PE40`0ir({);fr1F!2E@V5OiZ!W>9vFrWn
zaMn&oMHg7aLg}(7TzshWG088e*8M>kcC*ah;RwI(y_`Z1|Jb6Z<^e}??D<CvJ7;m0
zUVxPzUEbgCgZ0@A4nI%$WK3n(XZTlxKGjuNL~n0eHSA<*A{_+N&zfk|!uraQHRS#%
zb7>D|!$)t6?Y#$!4*LY=!pgSi@)Ka0eGC%`uv~n#YBC%aARC?p_dZ%|$%OaUSI&jO
z7XB({bK${fU*jU+#HW5U|G~%JMoV0VAB47^AobzNV9^I}_+trOe=YobE35nkIQW;i
z$16CrM(nc#d_mh~^&RXv9jayqTkQ{uCiRb7I&st-?kat`=Og^gdR*r?OnK~W390YS
zit{tNF!L&%@;CU~Gs93>*!9!$W76KnON>S2;B&VWMM!&Gyv!s#c?J7n)QoJK(Y~2>
zON5NWrPp7EuOQt;*TS$F-Y?u!x)JGxC&QjJ!GBppMVHC(${(|o!IOS}>;J*8C3`(z
zz?>IzWEWuDi&K4B@C#GwmcMY9x#+=6*w*B^3h5t4MdTclVHJ8SdU8Ho+paYw!I}MZ
z0pxs_KipZ4fxF)pX_NlpZ%NnbX!w`2S?w^Ka{k+$JMfkGrQ76sO^-;Ahr)Uc8EfQz
zbWR-EeFGNqQfmGJYrKrVavg3cA5-jx<4g<kz2RlcYc#!ZnHVMQW!UJ_zH4pp@C)|C
zuJD-A3(XGrN$`~fXP8#mvZ@I#r-*8?gICNaf}3IgJ*Pv?!1c~D?q#qrg;#|sJhfVJ
zr~+oy{laPj$MIPgllqa%v#PBRi~joRQvzR?{Y0q?(_ZI4n+BJ9t;uP?lQn5#8SwqX
zp7+&ZzI{j1lHf|`gk}Z!Qfj3$sh<Zl=!a!tfA*xeq`sG(I<!*)W>95_y9FO|RPGRg
z)69?gd%?EDo}2jK$c2()m*IxJk9_vPO<H`rPr)NI0|h(b)z_h;MsU|$e8X0FJjhu6
zFf5TW{Fep}&wa+I1TVd3eMSkl&wcwN3Qvul8~f*t{pT>ndU5!O<uA)cxI*!M3<JFU
z=J>r?*sg5MatnNnA?^4S{A2G{&3_xPKJs;Az&BWi$zt0&tP;kSFbMB4-|jXFCo2WE
z^ul!WCh}vj?d|!HE_mBfU!ERVC-ZD&3tVDQG1UuG%?@8~hGYFdb~nO4o~QHb;psKz
zls7PS)rfr!T(nvIb}7l9Ynku@ZvJa)SPr}25n6l(^X{H)dII}9WC|C;YdT!fPl>aR
zeb0q++hzPx;axM$yV77oFKdl-I8!UtI|a_~9xqRXO@sLI<6+j)EjJ&+ZqEkJ#li2&
zI9<Zv665oU5hQ(!^1%pLT2%XQ7<{FuA^#@)psq{gCLFCYbSW5i9L*dHfX~<cu(|}F
z89uPv2X=0x5b}nz_w)I9!=stEl3n43y)O#f;M(!~=iOnCu-HaN*r07sgE1UoDzR(}
zYg7qFn!qdG0xzs#$G1XPG~t}0ris(=Sy2f!Ets}zu=WIOwUQOe37hpq{?>$tFJ~C+
zh2^9No0Z{izby$1>pCibH$47#5T@C-`RpRx5VNmK0$$d!$!&pOi!M+L!fVUAo^9}B
ze_I}2c+%y+j%V=EKZlHW!%lDF6JNlaO`@6E;6<6hpiFqDocqzOaKk1$-E5dQGc{ui
zTw&T<{|I*WzVVR?PPKm)mI9{_l*&@V%@O<?;$h+R1jm1uQ64>O%?a?$&E0QSV2Sr`
zO7~!)nMBDcSbc=~LoEEhcHr(LEI4-KXgK^RJy^IC{%hEiPV%32lWXaMW%3*(65(x9
zv(gQ4-k)zTlVS0=r0z!esE?0c7VNcsA|o4q?W=yN5I)6y`)DrARrzTHx!w~pO2^IN
zXTl9%o8bC}x;#^Oc00dOEu7&|?sEvHH{Isf2p_l6`6x%yD_m!*VM?n2Pj1*`TZzsq
zI8d7N0~dVv8Dm`qydp}Ix&iJo3L344%dMZUuU$g>^!Q|24%eCtCXT`9BO0IAz=jv&
zmqy{WNp@j!ex_BPZyI64arP7B`wmJU7HEK1Yn)z@@_Q|0{<0AEd%Vs`zRxE_g1Z22
zFV&6t52pMQANmkx>Py`B9Nw9KX)F<rUHP6+05g6a)C+?v(|AOmz!y0i3U9-H?anEr
zylou)hHk*ZBS8+iaAKOhN&x&|xaA8eZ};S`Y<F1h&a_(wJg3n_<pxj0$b3tJhv%;!
zIu8#BC>4_O5qaR9U=M3;zR4X2i<|t|U<_X?xLrc(%X7yc)~8_km{x%(xZ`S8%yIZ?
zcJohC{#$S7&uPOeHVpQ+;i#>AW(x2p+QmPlzEDK$FPDd_S`Rwig!AX~_6oyKR=55O
zfsYN<T^EE`-=6Te4yy_&jIqI#0j!&X;7!4%M_J*wCa1i8VW*<5LTY#_hK|-B*7aLq
zpn|2mHLhKPxsOQa%y?mbo%*7e<WFC;r=EuSn`U$_!WTjl)4JjQck)@@a0pKyMHgHs
z?Z)l~=lanlSHZc=v0h%V-Rh~;3ixYP<G2&7&l&U}9p=8=pymN*-Rk?33b)%Xytn|b
zpRH&JgvCS8_L1WS3hv!^1D2YN)IATcJpJ?g47^{j(#;iq+T~<u0~bhq8?lEY)Iw&C
z!I=prisbvgY18Ow!XK;s|FeZ9!m4g4!`ggvK6da#xZ02+9JQNu#vFFKSa?hv-r?}m
z-x}unrjR2F>o{%yZ46u8p6lm>tqpuCP2dajw-k8cCjv<l`fyl;lG|=r`}peONqF>E
zPuniIY@Wke3;yYUZzD6@Z|ozZ13&mIZo3t>`w*X_2KSn0HE)2=vmTK@3g7nm9s17`
z>#eo^+y`LW;gYHaIQ~=1ge=@7V#6^H$F`4Kio@}tJo;1coPZR+BrN%^vv?9_`FT81
z0AAZ2KQat62H&$4g1K3!(g)$m)33GJ;K29oJ-x8o*-hKo;k4^?e?GwG2HI{LU_Op7
zLhoP~`k;dw;V%?RIj`ZXs~@SquA%>4=>1#;izLx?48f7wIqX?*$(Ln8NBGj``0s`A
z2k|bO3-EIqMXFr5@9%n*9<2VH`@<7BHM@8IIGn;UdXMB^aG(FI04tf*TRw-cJa67{
z2$o8pwa9@Z&7_|%{L@h>E+`TtpTGHyZu&P|<`6hu0H;m!bPvPlN>X*m`8r$Ozxo9h
zx?KOGfmkM#<~uw|EfUlX3p4J#Lh@_M8}gF-;W)E-^AEVUu)5+q+^iSiIR?MioiQ7S
zl@(mqXW=c3j5X`<_PrrllW-l~hdpa>Qdkl@IbJcB2-`lCZ(>!OWFKth?p?+YFI{+1
zH3TO&bKfNO&)~N1{2=^^*^^HaZlaM17>Bd1xqcpmH=S=RCFgrN^-`2Pe6KuToqT`$
z5U+(QoNpxWHw_=)xW1|e>-p`W{sZ$!hFP1zf7uHPf5Mt4=GM*Oz@P~ECHVBEKMi-_
zn5Tz=XJG1R-+i~?>}AX4QCR(0O;tP`!o}x6t|xncwO<?@n(BP=J>2uzNHZB0(R~-%
z4&USI%1VOgYi3s)VZIONFOv3OCZ{9Q00$f!ih2Z7-!6;FhYML8EV5v!Gt6&t;cB)Y
z@+6%j{x!pO_%DkMB}xBf#d+i!%tPlE^cYrH%GqHKM-+AGWyANsQye#icUGAcWx@+4
zeE1Cy)b|VJK85hj9lnctaA2T9Up~BT@}bjF_-N0J^dxLNQom0Q&S)@>8HabqO(sad
zi>0y)>oAX`kFqely*cjG8tl-WUcwD~Kjiqqi2n56{h!>N@K%k>+6?gF^Bnhg!b}S#
zJ9oe;35u=T;dgoTmzZJRRtHsj_=@cj6?XVmYseK^*kWJeW73}|**%-u09Sr%b=(VE
zNw@Q^uj;5IQF{yRfmdD%GR(ljrfKth@F_u6^(k1ae8G?x?%V5HIs*GKb8v~k$)|#5
zhTx}e*qVW9vcL3nz*^=5ITEm=$4|y~_@;>jjW~Sj-JZZkcueP5=K)yIPOSVjoHH_Z
zPl}}bgr=6jt`2`K4#Ax{aUcJKRk$DQJ_w(#_*s_%`^Z23t^@}LtSml)FKkoHB;%dM
zUE{A2Fn`rycXe3yhZSo$+;jO(yDHq479JJ^2MFCt)PjZD?!CMLn;qsfJqqVMn$B~F
z({F6$(}SyQeh#_9U47<3WV}uH;WR!6vkGYGk?~lOjx)jzejXlOXaJuKK2Bi)FAn)$
zF@wEFkI9+Av_>y`P2i`my$epl$Dd}V*}zV7?jtAQUa21x)^NK_%4toQJHEN)9L&D|
z{#^}Ngr8BA%n$N=8a67zJN#?vz2N4H+3xbNd&cTsPq;$;<2OlofhzSyAl!31-#`q0
z*3h?;%vVH$zcli}I}dJmu7y8+y?2cTj&9%ot{N7uX#T|rd+*D$X@&nw)wiaDvy5NW
zzJsr1-R`7-7hi}Q^}}c6Hma_zVEhYEd)5bM;Qu-o;4<$y{~<Ub==YD`aNvo}1A{OF
ztGLY%*z>K4=PXR|>t5>^yhp+Q!!$fw+^RYVtJKmaFTjhgzE{4$-HJO_f5U9|UQBht
zyWW;GuD~;#HoTp1GXD5+8CJ@8_~0!}{loYt1?HC%8`Rt0zyY@`PmuZM`HAalb?^?J
z-@9nwA3Jz`YT(efi&v=NL>rsw=dhMrsQMQ8kJ$#kXK?Mlurvm^n^q}4A1?X8;<5wY
z+WDz17Z!iO+QJNTjIybx!Y0Qb-Dij8uRZm741eWJUSNa0=6+7!hpSm0-w}ivns%AT
zz=47B6a4U-^QP^0;5@&p+mFJgH~e#hV4(*N7mvUv2kQ3t!9@`Q56{BOfw_yG@E%i|
zl{2vF!x<+hSV`_GTMo(p$i&DT<`1bTC-ZwNABLf`@WrVcg&lA%_1T|h@GHtry$`TL
z4D(fz?sntW$PipD>pyM{AEX|<IRbOHh<IIqN4(@u{D7SY&GOE{fpZUjlINA3n$)sx
zaQw;nig`FXe!sH|+*@1qZxI&D4hiyy|K8+$vksqhEhxVV-<$YNw+YWj^Tv2F60X@{
z-c1Kr#&A-H!|4I<E;GOd*^SY$uw=4~>JB)LXXs5dyoDlfcqd#<6M8BM{<CFg;U2iD
zKKV`p+~XLj#|88Is<WiQnTCh1D8W_!ZZnB6_r9k+hv9_r7F%+>)g*7H<1lkZOWR#I
zk$SRO8}5=9Q4fYs(rU&Uz!H=Dd~U)OL8Wv0u=2>wX;MBpER`oOz?zq>BQL|%FL<7u
zgL}``ZE}S<wd#*thV^;l+#F%vXq)fk`8gy*YULvA>Y=L<30psW|B&3jJ4t`PN5O7Z
z&VuB4mS5uh$n$=s5=$(}Pv@nzhpY$4(G_!%@9&Hn`|m$k#7i^G8)k`3H!Oh}v<6rL
z;KKL6_f*2Zwdu!6c~G}LtF3~q&&huz*S8vx+b)FlmbHA-Ci4B;Wy-_^VYc-)1$)?C
z(I#9OzL;(EnbZ#!x^t6?u-|O2{%N>1w#lEYHx*rYUug(mUv2uV15bR`lGK5nBRM?G
z;pL47k~CrYXx4VJp5>5U#H0+Hi&>v_fZZ>L`6|H1?@ra9hqtR!%}T+Au8~G$eU1NB
zm#G9io_)RK5=>F0-^LF=P=0Xj8Z6lUbkjcAHuP4%AM7R~afJhZtDfr?25<g5KFkKs
z2}HNvhJymmo!$z^{Kz?z0H0po_L2b>bPBJ10J9cH$!>->ZI8bF7?xEYa@q(VN%I^_
zhAmFpd|g_`^S8gJUm;A*xv2dI9>_V-mk)c|de=_Fou9SROJJ&m>iHkA1uGxLQ~0xr
zlEVmmfu1q09*#U!*Et9$3=PfI!a0I!$9mzC)Q&2$UfNFSf2|w-FC?A45jIfVFxLVz
z$6hMxhE*TASTw_3JJlJwV8)HVI<N?$vd5OcryuUW#Y0sKSO5Mc{Rw8)&GLN#hp-hk
zO~5WIYu}#2)JHw{k@efznIO|VIGj^wb{4*|EB|f|ykyR#J45ojOKwVm)e}m-{)3&J
zy<8r`MHeqBt-@)u%R@1+ZW-+ddaM`UOOQMs1viVmlAwdxw94v2;O~@gt{sDK82q{5
z1II}S@70DMm|vK`0SoL)FENF`MC)1k!;dN$jmi3TNJh;>Fq{+;GT{g-oQp9Gf(JvF
z!<=ES0E)pdc%RrMuB&iV%j;vI@ZrRt_19p%S;;PPKDj%cjmUa?Tf?wo1ROszyLcDg
z`0IFc989a~9QFtvJ~=HF4fovoE0zM^zGYOC2#XY7sxOA?-M<MufcvfK?EZt_7igC}
zhJRXzF4n=8Ja0J2{Rz3cFYzV(?wn{&2CQJ1A@%{zI2XSy6|V2s>ga^el`KEZg}3es
z5&HpaMywtp`OR*~bxgrZyDS<DVA<8@XIJ5`3ds^Azjucl)f&9BW4Yo#Sg2B>gA)54
zf6`)Si{XTjnTyo$b(&wkW$?vPcPducdOz#8XYlCk!CW?&{jrBzH9WW9mr4@0dqKxY
z^2=-M=I)0%&f3P4`c?SlScg8G!lLC^4o7K;cp8v&`Q(LqxT`x%>;`OMzamizH(b5h
zLH3tuowO@SeXJ1T<|O-PD^n4c<a`(AWb0qT+tqu<$?^X5#GU#8zxt?nlGImQexLt3
zV7Z-(4TW&-QujSh><8xFWob`>3$@~B$bMylTCX~(e~VMEZ-~NqdBgdU@RLtB287{<
zVHtZ#{fi4q^*99ErKg6H`oqFx+9n5|{m<^7FC1I#bmkcR=Zc}dH$3%yPt8$ysf6{D
zD||jEHH7RhGfvTNae=vOPJSc%%k_8K0`1_a8@k>Wa7cR2qz$ZW_P5gv)^u~VHh~Y`
za8D-t+Z*(aV~k-Fr(Mf7u={lm8a=p0eJ$J_PM#QY(}vgIrB1lQyN>35Q-uSrZ7I17
z$Fv8tslW$VpD>aA_PR*Dh=cI!&HiaO;hQ?^^U`qkVfOVv__f>{2NAg9ir*Wuzt7^7
zlq>}Af4OttZFpmq9WysP`?{qx9*%C_;JXKYT5x6u`Tw#w&37|9VD9Ji*;#NPrK#~Y
zSVbXeQzrcI3Ew*!xcTN}O99Mc_kE2DzRz(*C?6iY_|$W43G0uC=&LH=i9nJ5W%z-6
z3|l$eUi0_F9849vEB_7bbp34U4BU6&A$1e%GQMB*J3Lw2*U<(W>>0NH1_x)EiM7I%
zlTW((Ve`S}S`x3p_>b!FM>xe!gQFiF{?qfM9X@~5dvqA4@4ou2m3;ooPt_s#u9U86
z1Kcg5)%6pWi@#e}50{^*mYjvZ^4J_Ght=Cgmj1vO@>VXC!ptnj#tU$DeCwAYIOvWy
z7kQuO@Gtvqg(UyCF~1d9SzRtT171AMwS~m9lqOqEr@-m@cN}TqAr2|qczFCoiu5*O
z&bqk!@O?AdC?>dqB9`th+;)cDlohV&;#3NURrgMA+X1hxGz$2^m#XGI?S_LLPMG_^
zD(<ES+2QYnydCZ&eTU@+9@uXxXOkOz>QlYNUKoE8b>$o!5nQ)V5SGYT&$okvD?<kO
z;C7?jI74`F^;)(lOtnF%`6Mi8bHs+kOY0VXc&Y;bCo3gH;+fg!PJCB_jo&N|iIMzC
zOYLGXr_7hU1F(~?*CtW;MG{q=Bz(nW?hG@$QTS`99K4j|6t@+ol<-<6$Gccqd12-+
z+K-FUD-s_a%_;M63cmG$S6dvWcKy@(1a7;~#Z2On1RUHcis7xwA7#n)8}1N#wFkC8
zV(ZEbSCpkja=~wROuZ%XM)WIAn_1y^)K@l=^7#B^u!9YDZ>O@RhR1&9Xl#XfpTyo@
zM|pBHvoSNno7@C{lky&47!0O`9Tm%jN&Sd5(l(@r{eSC+%)>kBw!PU1KPn!snSy0<
zF2`<$hb;nj|A4*44%4nKqQAU1c%ceD)27i$h4j<|Vhki+NQvT>6%+h;Ox~{uu6nv-
zk$gX^NFe7E*q+%aa5wBXdLx4TpWX9IJ?!NAuD*FKnFfn)WXlqOkA;;!j)o7ihAD}_
z2&_^g|KE3|qqSKY9(}#mXbFciO<1YGm3Do+q(3{}ozi&_9t+TQ7lTW-&nKzDO#7|2
zOTccFsscK2{A#fE2Do@D-K-J(G2rILjqsSExvv#GS}Ei)hyGmTgD|r#EWAg$?I#?&
z+8b;N8?kI>C*#4PE5o{Wa9)9wH;Jzpxpn8IIV{^AP(<P@_@)f*TEgiTne?UbueVDZ
z$@kq@R`<<@@e)s>32f%_SSADh6Vw=_2?v?~c6tcE%M3W71+%pAH<Ne@iod+C$@L;Q
za6=4iW6~E%u5YiGFxy>N<6h0QAWX6E_K9Ga`jJbyFf28tcb<%Qo5qi`ZiBavj7r>w
z{bf^hNO=W1J5G{#i)4dAnKhJe`_kX1Bpze>kfZ}CZ#w2fTf<@ZrS>ns;qL~grAR!8
zEW>Qk6l_7s*IfXc2pvDP0Ea9-(;tC%%VcDa!`VC?g+p-n{o@>8;m59ZO26QpmEku(
z!+ml+Nwct_w(L?T+?9FEZV^`9e^TrN{N{#5{Q~@ncO|tMemQZ#fD+|pmBdfi2v6G`
zDc%HMuXyiY4bNETd(*>vbcUZ+!UAgz`$@cx=A_)iJor;2-!c<Sw^Oqthva`Md3p=X
z6gPJy1@6_o!^Hx(Mg6<-2wqW0>0^eQex0(7fS<VhN@a(ihgjYZgB#^m*4W_W3$*k>
zaGj@S(_T2LeT(u9c<n!v8zlZnbMBm=J3J8dP>aMLx%_spaD_u>3O4b;g4<qdSi)AP
z$KMITAqAL~!TvLgxA<X=2KKYsu=$Lzo;W<T%=X|Ie8^1Qp5%Xaont{99`kn;Bk^CA
zY`cWS;B;@lG14Ahn7cD`zyZ>U#RuTck&Z{%;V=I^Ym|i9JDoE&z>U#OcgcLC-@*Rl
z+8-Q$y6+gtKi^YXKMh~C|F%^TUZZ}x@B>bmT6jz1&z9V120y`?tBcX9@M(or=04a&
ze|z3xxIy-xdo6t77VSk6-}cykHlrFoA|!ZQ8O{-y-IxJ?3}Qa132&|#lud(!yk#z^
z!EtH>v7vCyBD176>?zm!CK#4ikkizFuZ6tjcY&3M=$Lfjk*}p@PO$l=BSB<-v?;_w
zObfQPq}I`c*%-CXXu`XOFZq!3p>L7fvja|J;8i8_CFX7XCz;{Vx>+G|ewt-Qe_9vN
zfAd+{9)yjAZC|#-Un!2?BlkDpilqNTcyD-XGbvxW!!p{B;QwUfmAK%kyr&#j;lfS)
z-mGx4LGk!Cc;Bg{{Up9kH+J&9GwdHA?#KY|dpeZt3RAs)!bjrg7~bv*v4qP`XjxLg
zELQY}*6;?QsET#84^En_CS%w&P53uyKNtF=V@zNLkIVXhV1Hv#8h!Y}N9NlzFrCAW
zu9NW4x993VVArH0)hguk`KPav_N&Mza9a&#nkecc?Kh&o`ky>(n{2@R3C>DSYF2=~
zI*Qyr!i=K(m89Y5i>GqPeAr8xj_v@wCFwb3J3Jr$$X^s*5w=unf(tq?YKz04j=f51
zfOXd>@kfYQ?`U-Hs)h}2cHa?z`}%tKSHa8y=hr!5SB)UYXRwQg)VsYfwchWhr|>D}
zSITU#cXrAK(m!oxy-m*!pUvE9l?yXHXA9T{mrT9Bp9*s=_33Pfrv{bgAHyduT&Sai
zQyU-KN5Pl9zntCzm+$3yMf%tA8HW~1Sg@{hh4il*D)z)v!#9}BO-cWmwK11reIDay
zR^8i6@C?_cjEzWtYoRab1rNH1vn?Y%>CKA-JNV9??&5!N+^F87E!=b2f^Pv<;(u|$
z5T1S-Q~4KO%QbF12`BE@CHWIhsjWGv2Jic-)btzX%R3*Z0?TQ?RQLh^dmX4O1oID?
zJtFx(ha5~6fcr!Hna5$KskQ4gFjGps$}Bwl_vIHVIJ-{i`FFTs>U!N6p4X`4hli)(
z0(C>q?{I2|`RP%Z!rA;y8+`h_WBDX}Ea?z`E8ML#BsL5`^i}S74#ze$M~=bjfx_a?
zV5%>Qn+M@_Hqnm{;SYuz&V7S7FY(Bd_%oe+k5B#Z<0n_LN&H#z*cW$_UuV&q@(w(t
zsXN*OJKt)%><hoyp5ylkE|==*x&rrK-TCu99P~i!D2X>S`)C#14ZG$mW}JslXun-<
zf#2Pk{A>+ZDU3I?!7(xGhpga3*9{Ie!UhHA1$uD6L_kL~oWI+Lj>Ml$9+)^%4_~0~
z@l%99N>KH`hK~=e^eMmxZaJT*g4KibnPuQH4KMZ@__uzKyA(X=+;{gmEVyuRm<O)7
z)X!HApXPT`;fDXqR7!XPKiap)XBRv&Eob)>4%0E}Wrh7_6F=s{!5NjuXkZKKK-WTe
zOma1g3Z`Nn9?pQB&YWdi#Ck_TdFhoLSpHPO<puas>(1%NFb7BD-T`<)^o4FFymgHI
z`e)eq#<rIa;jzfCXR6^xCr?kO!=wMMZ6fPGMqKMx3Sc(cD}~wcA(7*K|H0uI3@38o
z7gGy%74Xf-6Ln<$>aeNvay88NcHm4BysE((Oztml<Bm?U{v~90efL}V%i~905is9X
zk?aq!?5rs#iC3dg5vBeJGynNiOV-<pbv{LZg;`m4-;{@+p1M6Y16MwJK70@kpzJm$
z^*8lE?Q1r8R`~5LQh)nt9C%q_?^Ddnq`s*>n`~LfdZUe~l_{yeEH)`3YcS`7^wuGm
z=PhUVceu!^S(Mb@XuYq}qi_iwL+Sur<Zb??6<(~T-$0I6-X(aL#A6v1>v)m+t6!Zm
zO5&+BjrVnu^PQjbIYQPyx8AbVB-c~kcAh^LE}_x>fBoKkLjP7Y{NhQ_H&VYFMsprJ
z!E8gCy`=v4@MNqxzy}Xq)9HmdMWkMez=v)OCz1BZXu12W7~JbnB0%m3o1HEL3#_G@
zc#HH8b@gI}tnd(r%eGZ`*MKJeArkRXu~Kdn=$}l_b1hQ9N6u2O(83jTt>@>kK2FWj
zc9#+UZ~tQ&vYvi|DTAE_7LNNg(FOO+Z&up_OJ7R4(*twmerYBB_nyv~n^Ewg;QOPb
z|7ZWJ`Ry*esriMe7+iei7Dou|X?ccM0%nOG@w)}5T?}}@4{zAS`|KJ#ew6==ApCA?
z@b;_lE%77WTrktcCLJ$0Lv8dCH!SZZk$({`UZvQ+3;xt_am10N>p%KT`hOc?*1cqZ
zf+ANjj+EzH;o7kaunJ|?J97WrZFW=H!K}q|0;GRn4=rtVg3X*vtw{Zh<Brs^hkqWZ
z7ANh=eQo!47g(8{*FFobm+>wp$KUX?>7FCJetF|KiB~F!u`qXrRUH_zjbZCM!RqGl
zFk|wd9=tniC!-~t@uTFC4qSfu@PZDUHK*094u{h<*66|~S^8zw;5g=wQW|h7qo*5*
zfAarsv3e91*hkw=;-Bd2UEG!6W`=a?{V-$qw7d$uk4@>k1k4rqukawe=V#wz0r*hQ
z6>oW1Yu0CdAKYaW@<S4SSjsBL2{TRpdnN_P<W)W3fMpNU3kk!~CmyI$!p`qc-I9PW
zvmZ;{1Rp<Vy~Gb!26O35VL$B9RG^V493k{MZxWt<b*GsZ_Nnq28HO9=Mxyt@>jnzy
zWWR3P$OP3M*s<r6AKA}ijaTg8gi~!&`+H&9o$5ze;JaOFJ33%Fx@bl=*xg`@R~!7s
z^!^Pdc;v-@1&y#+<X7!&FmseZOFeAdFrKye8~saj=jIAnC12Ei37)>Fbh89*{Uxr_
z3)js3smh0a>zru&;563M&sng<{5kttn8w+5=VLg;Gg-VI9`@urkO&*qMBmAVJ08xs
zM8kG7FAa0yD2K1DQSjI1>ZTNUTTlTNiRU_cXd)^N7FAC_7Xtf^4{uI{kLY?lz79(#
z(6%MP*AF;aUxgD7EI+>k3#KW?ll|9OtKHYbVa2z~e=ow^y3D_W;9CMa_dCHoFT|^E
z!NG%kzev27YUi#DFWC0+x)9m_O?)otav4^aV7y}m_m1!lxxfvB6E8{pS0dHHJU6)C
zc9q8nPNx>;JP%WE?l;$k+Z+#$U4UCX=s8II*HQs{`)N4(((EZU_;V;vyeZ7wBDzx<
z&db~wa18d4V$mb}=?2T2wY1?751TDAaO<xjNqIQn&<RaZSgCek=@7j9yZsm!tbOxv
z!k;;;-#=_%BK!S9^BNuV@Pw6}BoBOUa<gbZ+$pKIC<MEgGo0;%sRVzr?t?ily{)N*
zb9mbZ$nj67cPv!HZ)*=dCi%l?GrknS3&vZ|?S~E9vv=gff4nprNjyR8fA>Pu;4`~e
zBFOn)(~Pc7f%O)y>5}u8aypkC30odGy5lf>Dc)`%0zM^G*d+(sJeO;{3bSr;Nm7AT
zd}aRm!f_UlS4cboQyHhnMYu@A>?Mf@_;#E%#~sd3zr&*ecTQ1oT!6U~RVGM0K*q^M
zgL7~iwVRd>Tx>YpXbE4Y-@DZi_6zO$XHL?CeLGITnm_VJwP9m^-Up}Qn$koLEtpE?
z#3Cu*D{R40DzM<tT(u><@a$rf6706d!D#`%^R`lug(=D_znz5*zG+^RfxpBsW|I1p
z`-aPm7xtJ;ce((Nwou*Uh8c6-y(94iHZyaZcfni?meH<o;maNcR@kmDaLyUlIQpu1
z3%sPwR8H!5>SX$N26+CKiH`^DrGKq$<rl_}n9s^Sa9p@K<ua`FlW)Ui*!_ph^f)Y$
zn9_I+K3%(&Zw#)Af5lJQ&$dVZ9t^;m`iG{2U>3EWw$Je2>1%}nFpt%f7w_OM)hW+V
z_-{h+bTj<#D??W>tl8^%rXIeob~*7btU7Wuz81dnD|R^?&J2`cD1}cmU;RY-6H7i0
z&La3;f~)UyIQWrp-V2zcO^mt$Ugk??ErF-Y1hX6AJ$bq5m9Wygap@jd;uYPtGB{_~
zR43{G6b*MK*TISgx`~7E2fo_Q8hCq*(IL`*28Fz_Zh|+RWpDZkS3cX)`U>`^7CAo$
z>+!Idw!m3hCo5>tUsvf3t~SCOU%8mk!xrl!q3tl6&i*kHKk(dkeSzE$i&;j^U2vA_
zsslORu19+kCE+bIw;9RzOS}JC5{Ij5LT@~Wm%=paWMOxHsxoqYny##S55QWcl%o0Y
zUFBy5B%WaX{X%>;yiymyK*qZc@jncY;p>;1KWM`rl^xWR;r%qRQd;o)HHXqzc$I;@
z)&xHOR)g;zJgGRyc^XzK(Top;Wg<96t>99ZCvCy7ciZ3*OY-@$r)vJNTBY`r7}(+v
zf2{}n>)aw!G+cXMOxgiXp}A;F;uVaoD0<Gq?~2<u=EM4Vi)WnSB^FJim$2xC%+2Rv
z_vj}Jui(-@@lkH@iyFRT{cu;_UTH_zZ%g9%XL!hOTkS>Id7Vyy%%>FjJ<qtn0leY;
z3vikIndwXLXW6HzBtBbpn-8xSd`VYMjl?TZE!r1fg<17&Xs9t?Q)TiQ^@SBof8@}>
zr<&|Mf?&%^#RDW>eE7z-FW2E^f%o0JV8tWn9mxIh2w6$uhQq!)KPLAl<9p0u5`Qk}
zXCx8{8yu+HNamM&t&Gn^z}z90>7wxZYsKj}n4%%fK?cqmm**wragkP>P8P1_-dp?-
z4v@9#P=pzRSw|D$L>EdA5+84IZ`C~={&4%?K@vZ&Cp(*!O43V4dXK@K+dHN5;J-Dj
zk4QYj`K7uGIk0E{8zmC&z?Yjo{{)`vUfXO28@GoG7sCRh&oa$n<&&;2Nc)SB<&`4y
z=Q{$@JkMa)+@TN7@Vye|qAK`Ax4!jN_zXwmu5x%dpLK&jeD!I1CTZX7Pea1V`w8uZ
z8rw+ywwp2*Bk>S_bh(pBdl~rfMsXhAVYL4=`F_VQEf445>H+I_SuoFy0aFz`Z#-0r
zA13!lJgdG;3BD!MW*iPL9DVP96z1ws3cmxVME~MC1}|@;VT*x%+70!C;r$bfFK@!{
zc<%iQfoX#(^hkM3T}{3A09H}aEx!$akRIbC&sz^h7&W3{_Pam7rNA5^`o2-{!a;@L
zG+1?&i7Ek(2{?K@4_5!GtMC9mzvuomi4TwxU}z%kZ<eOmrxISc;=7-erxPvpZt^^M
zs#&%=1Ag1GH@gMSEQ}E#<@a0i#<4cog<7v9m$*ACaTNZ3wA_H?_t>)i@EDvk<UUXU
zM^NqENcQimC&RXr{=n7piOn=@#nv5?26xytU17lUY~TwHizK+tN2izU&%b+op@UrC
z>OD0f^8D<};O$24M^#^S$X<BI#Oo1qzp7}H`wo))YySn3`tKabBuCyCt8JrLybOQh
zSo=qw-+RpFMM!&#&33go3~NOkNg?gK%Tr}s2c|#CMMwGr{*?TqWdGl_$lc!tUU`3)
z!2ss`Zc<_epWph|Q6FB)%o8w%51;6fG=Zs#BP~wB&5so$jbYpOLmfJB`VST(vfl6^
z{}rV+d|!HG8;KvdbK=5`9K4<5S+6bJ{YsPfAWV5@Y|aw?wNoiz4?Os&pv)e=JGJ}y
zZkTpLSBk7>aE_k|Uiyjtp<>hDbMVaxrOHLvQbBDyIbK%OezpO4Z{>Ym^8VfQ0fUi2
z_}Rk8edKzYYd;A-hxhR*+K}u08}$443)nnM=94;nQi-=A7UtTXxr5xVnF*Pw`>^lT
zmv;}quX)VRc)^zil$*uivFG-pmq~u_Ky?9F$0hKeA^ep7FO3BJc*R%B02crKd59m*
z>g@9tfQ7r2v&G@>r#=+ygZqY@>_p&Y56ie6@U1hALelV#2*bC`@VN)SzLVp%r42l#
zfV-Zl7m)IQd-}uJ`YihQ?XC`FJ%;<7WycJ>zr9qPod2fhdX&?!@&}!WL+}l!Sf6jO
zc2bmq8vG+HuxJ=Ad&2Xd3S67<hUXK^^*Kd>l=u9-#PA+?N32*PSugVL9@@|b2lYJS
zBju}kCDZXO%(S0B$O69leR`lC4!LuO(HY*XoPMkZt_Wdpc7$hor>dUA^Ue{KH{hdw
zXUw0#Y{^vY0kAH0VS6?_%B7bP39o-ql+S>_%++ta3%`!NQ<wz*-te_44!+o<JDdQA
ze?Q3|3rEf-8sCFC9tJ*1hts%N>muL`zS%8lu-{pGnOiV-3q==sUv&H=r$Z2Ie%@Is
z2WJ24{KXf3$>F<5;!D)Zc$j@)nw8_v3SjxOb<5}B=XwS{WWDcRwWq{6c;va`Ns{jT
zaoI}&-eqdZLedZN7v;*sifdW>$?;~a?^ErCt8#0c$@{C5WnbTO!+uN&-&5cn8I0-c
zGl)O<Q^if*U;X+`-<1OC`#c&=$o*h`xJj@L=^UQ_VnSdh8KvLtaNqz-oja^p{Y%dT
zKH5-xldKo6?|K<z3{xKtP4R@6PTu-@816IJY3~Og*mi2C0$l!ApNHi4d(-_-2wo`a
z{(c>v;!cwigj@W#W?Y3e-t*!O418Z#_=TJB`0MEtJ7M#-#(ktb^_|`1Hp35J9hwY<
zg_mVrHo`$;p4qqHgoHAqU(;BxxH{-W;(v<kuicr2t=_T<-GO;c*Dnsh6KlTH_h9ec
zFS9?xwBAqiNcoTDsYkto4RjdY?!y7pn;V+pSxN@G+wg{a8_wT?2Xk8<lk?d)CodHO
zzxjQQom}tL8zP(R;n?@u#^iqNdS}^o4vwF6xabORcVQ6Gg%8Il7m@xY{k+^CJ=lxB
z%;_wwd?a^35nf}8$tL|7eOY_1GCcI}6cy=jKE0;mJP13_?pGuIjj*ragdChLUcXM-
zPe(`0djXi^YPy0Z?6_Y1PzZKxbx+iQHMG8M<%Y+oje1D`?Nq+f&jZhD2^=8pdALhl
zpB?t`VDupEJvLZ%HwSzm<6Apfe=YI!jNA@)l(o>4{$%mo4YQrF!si@EA^7>er)>=I
zk1x?#WIZ<AtTJH>y!OkJl8i6&laq{8@H<`YYg^$vL$m3$@Y#Cl&s*S2etXy`;6K0V
zPOW1+tEbskv>B#vT7635(GC<G=2@M>^H})A3|WsgEti=72kYv8)t!fLikqETfGxL0
zE0Xv*+KiQOl3$%U{$VG4FPev99=<YgTE7Y|Eh|2=1V1ZuD6W7z$2+@!!Y5^w1ju;K
z_1D9R<X^Ni2`1~abNgclf56-gVryi+K=X0$rCC_qP~S2hez;q8;yX+o#@`(Z2b)y+
zPr_bTPRfw^$8hGSxgnUgUeWzJ{Qb_o>JfPOkxTnEcz0gW{(g9@%bcF9-+t(@S^W$T
z%r!P&gufh*|Mm`6zEwf#1ZzwmDQ<;721~s@5BID1Jg9>2UlQ411FxIywXK2mnHKh#
z!x4cFH5u^n=0B!}@FhLE+gY%jLQ|X;TrU`*>In}re15MA$LsB5xCC?ER6L;ozjF8Z
zYyhW3T7^l&aRD2%Pr;FrT-uWG?qt45b@*hwMzA0}#Q(%p19nTuALWM`yJ}kx!xb-=
zEy;Sa{H11F6*z&%p?W8LQM9+`ARNk9et-&QwQqM)fVoE`;x@zf{QZMcu;)aU)->je
zCtW0z<w*WZLb*TSL3g<l3AkS|*|H11R(6j00PJADb*&o?Ww3dq2>XRg9%>`btG=KN
zpK46~)DEAvDV^7Zz5i9Qyn!h?w$*CE@miv#<o)2dF?t<x{moHozsdW-{eowAlIzcI
z<CJNDL!X}(vxhg9in>?B$D#@r&%qTr30rGn8_Mh;H+V;C+VN7j{J+1t9xz2F<8&FE
z5c<2%2kv>ryo;=7Ct06r4TPg6%dU|4;rppZs=n|{LT(0G&yKr!LM90IcedS3;*~>v
zj^~i{gXtz$P2kf!F^B!(=Uux#8^bTS?>-^r88^E16nTE=IP>ZV`M!UbK9y*|nNC$@
z?l7fj?<{%#xNgu9co8-%$UH&ft7FCA{BeNY^)tfA^NZc--a04vQJwb>DY%rfP3A1z
zZE!_^JpTl^e_XSJ2cGJO2*IqsS}$6_QqqR6$n#Twa_3<ycx#X(?_ToxpG{AU;9I|B
ztjY72-{2eH({RbJWlj<wUjM4d_9%R$db2qr+%1|XdJMkpGF?FrtJNf>kn&U$So%Za
z(XAY!9aUk?rtiiZVb<2b0a9N?-R7g0@jR$d;gxd;o?QDr_ZQawd6t9JFO$5@P80BX
zlS5BP{i%vye>(<qB?$0|!Gc_z>L1~j_^DD!SlpRAovh!>ed`qwgf}JGwHLz&1y(rr
z!#jEP-Ts4T>;Fg5ea8dY1aJU1k`Xd8vno;uQ6wYuHjE@Y*-|JgGa)mCtRiI#$%u-~
z>^(9fJ7guJL@Cnyd;a`>?(P})+;h+K+<1;TM+SbxZFJxX+_u+ZCvm*8LkjgzVZ&^%
z7^3`fUzhtwd|$7so-`uLpC6~ODe-;X`irNVxL^9>jGo?y9mhT<D8pki{+l6ig;50^
zaXud(1UTP@zZLVQ5#>EJs;JK$=29eOA<pNd&FkHc@blMs<5IA{;jDu_tiuqYB?`aU
zw~%`c{@W<YMVwzG*?wB0{r=!OT7uzorGn>)_JHNZH<u5?`5{-I6Z4G|mt#8l;AN4U
z)7o&zA@TVA@bF^(e_C+a7VR!hIOpzLU!r}Y!z1&<UU=Q)tkOAH)y$}p1~$H^>wO9)
z(_aaqg<sjHkIBP2wynR(;erdVIf(WV*$n-93fRSn!t)r+5h^bI_bcjGA@&jxSaL@>
z$v^nSAqQ4rIHNM!<tKb&Iza0H{OvZY!UnwE^Xb(-_{WZ=q7}H;>*q4jUgNRD?#_3(
z@v{C!c9_vZd1W4!|KSkE0QY88l`g;`)%{=T;T<2MMW$e{i_};Dp}nYZ#<O|`=Ja%L
z_zUmacR_LtPI8PP`3Y})E8iN2gYQ$AufadJ!yE_TUDpy@iT16izfFfGVa+E3LJctY
z@0i3vm~Tn$S|v>9^Vw<`&R}S7BHH8C)eDAtU=^)tGNSz~l=)A3AG}7B&R+nRHt24b
z!M+>~W?8WRsi(~qFm3YYz6{v(u+YmFa6nP-%nSIU{Ortg*kCb>l88UEE~^v?cSzi7
z&xf;Ze!54%#UJTJ^5D|+s;`0YUa=1=#QtOFT=oaRPJ5|~3gNsGa++JP(u05#H895=
z8+Uv7!!?eCcktc8qhGCHv(0;aM1RCvtxy9C*vO5|uLJ%*sMT>9j*V{l?*q(p^Ea6R
zJkG73*$X#m*SlSWC4T0M5d9;{2X{`Z!GHT|m&RfB$*1inVV(U~i)P`S^C!q;;FnX2
zj59FV8o8S|%&vUDe-ZxKo|GpF4>2=JeT6M#Z1@hs`7Vl8#C)abM==rmVcsvb+`r)u
z!ltC0@Ph^INn*YdN8z$GJM8Y*r$m&8_Uww>-SCb8GYU$CYyCYpMF-n(j$0A^LGF4i
zdKB>E$;HJz@LK+XdQ!N5uhj)+_`BGu)b9m+FLuu|?1jG`b+P*epXM@lBFd`)%jwBw
zI9E`2gP5Q6u~AOrD{RZ!WI*&+@%7TyO~FU)<hY3btQ_CKjR`p1F4yY_Y`Ls+a}W;f
z=Taov8_(LerVqgWbD^n{u%rAF)-L#^*-uMZxbVTQ3mvdtpm~D~e5QJ|rXH@OZw*$0
z=O$Hu)xu2wNz4=X^NKUqjWW38)5BcieqX;Hoc0!ecW`SLF<;91%4L?9a7N$d_ZQ%P
zzFM_>_?k$ym^xhM8e9Dgj$UB<LDVlXv>WT`aPO&!*P5^xbJAEe+?^`!PPA{%DF0)Q
zf_0K&KN9_i$!k5q!En~@Pfv*U&E|FScR{dUUiuZH{-P-v$aI0LYiD>YVNOlS(OWRL
z#o4<=|751gPEA|5G9*yh1{QBKy=M)7KlwTRI(*=y<R4Rb?H1QH2Uy5GRNMrnmcHFY
z^mm4yH-4rIr>ab-d&Aid{}{Aj<s#|)JMfInhd>p0ILyj104CGnt2hVSQdD&N!8tG2
zMNh$R&L8DWfcr@rdSu|7U*4Ya@SytBGe_aaYsvB{u*~w{9Wgk%_)Ag}{Nich%0bv{
zN%KV|eBhaX3ol&k8c9<Dds7?BvBCQz#)c+gV`F+XdbmNj@b+i;DwFs}R=8aKV;%AQ
z+<0Prn-NwjDYn>x<zs^>IN?X4^#VKaygghREz1tSzL(WV0XO)+Z03WFdh6AQ=lQ~w
z5=m}YG5F<IqQ70?Xm7Oud?mlr=^)&b(JZ_lrme1JJOqyfOuiL@-K!_!iT{Iqh-^F{
z2yYx2la_%4J;z=W=X)-EAEg=0eO051INu%V;@Re~KbeIJ5&r3<ye;wmbhhHe-6Jr?
zTcNh=aKN;{4}LgaQl9xP+@1dLA(21Kv-_OA;rYq{Dk6W*r0$anf=iC5E3m+qtaii&
zz#2KSuV~>u@qY$k@a9*Nc^cS-YN9k0=4kzPg$!1m>Aw>VzZiQJO#%nMe=|a~kDlYo
zpxF3=>sytX91p)EvylA>KP>m(eguC?*Lt}G|2=UzFq1HM6Xybae^`7v13otQ_Q53F
zX3LtLOQgSZv*8m=&AYhs1ss=Ua^fSLSJTl-%r9f7W3casp9QBLE`;q9$fi2rf|Fj0
z#QW)NPa#`7Y`I56y##(&oe@?C4-WG0CjN&b-lkDo17B)fvnS@C-RDp~UJ4(7+H|x5
z{<HqYwgh&6@-Vs%9>^LS&xgDG%yrt})4Kk9^5CR{o6OB{E3@s^6F9c0dVqL8|AzG+
z65xaSVN#uNf(=Pl6rA!y^*8Z;-yD!K@&KmI!@5&M{MFct_h4$n_j^ZR!B1jAfv}E~
z*~mv&fs@0|8D_3$O8x}PrM^mcf`9EB{yPQ>+{|XRfzJg6*UZ3D4f5*OVUAzwe8m5T
zQol>on85#TtWSM~TlO}s8^I0VN|hJjf)^DwI`Dt)MifMQ_DYsoiWW?|o5$)Kd?{Xu
zSrz8Zt`yvW^R2qhpNB^-c?JK3L*F)3o`MrMSyYMfG}HzftMaf>Szpc;Y_{vnwc~KT
zi}g+7dx+Gh{i!4zafZKx4DOGq+bs+yGrf601E+pGbLKF7`={M96})&szKjo+>E9?M
z{?{~dwQ89MKHO2rup7>iE4E;T^+hTk@xX>0xt&b#`xd)(F2bD8lxSdO)up%m@V*HS
zcPjYP?<BSZaEdbX*MIZqe@cl?lz^GM*L1hwnl-sC;`^|LYNhoDe6{j`AJM*FuvL5P
z8*KQtb%JQ$&nT*TJ_m>2l+Ga9_gTpIkI%pjo+D($|E}(F@Mw*}tHHU!I<U`;(aIrs
zQ&x3O3l_^A67PW}Z_wSefLlsJpLW7Ljalu)_iz<&$nHki?kZhB@%{baL&bCz92olK
zm=A3Ev(lg#mcNECNZ8c*&5;7QSkEYl7=I<8QJR(sKX)m&u7gwVKF&>qJF--%8{o{U
zC}|@6EaUmTWN6PAxpH744vrOFuONq=*7n>?A=207cPha}n;Fc}aBG{pJ<&dVWBEZ!
z0&FG8tW2~w>1_{rhQfV1LTN;MoHz5&WnWmx&|V-O<|nyf;0-_8?;A+8S1u}qbhyB}
zZi#1;V66ywQfGKtD=+gY{OZURS6f)WwEjBLemSH;_re;c&*^DOgWqck^O(UW_@+aM
z_RI4BhP6y!Zh>!e+3@-28%??}dBNWtqP=n5{@JEBytkQ>x&YpLtlmKlt}$n5C&n+v
zb>4WU0y9Ul3lZ&=m)7pHE5Tl}T#FTOyqWlgQ!uUfezkIVZvJAe6fEY!^S%`xbczy^
zgc;0vMO)y`14YR~MEX{8mrt<D6E`^lxOZ{0cMM*UPblPq9|(@<Ex~)Vi#a%8lhw}R
zudoH*Py_>fN1*2(G2iW6D(5v4csnU;MhxECeP;OA9NN!rk}he$_X8Spzrj<l+SD$<
zs`;zD^Dwv66FTC5hC%r%I<xSDX!D!Ic+<}(+*`(A`IGA_#CTN01<s?xaJKwg4RhEl
zMJ2Nb7NAt<b%YmaKhbr;k6--}C;qSa;VZp=BkW;ay6OhA-_a?lhhHCZzC?_NO|J+P
zs(?c_AIA~%31Y|<n~UKyzf{-n!yHn#Wb<Lc1Gyf=e23AGqZv8yfoA=Wk73bc4D4y}
zgu513A)Mdy@Xb>=LI0;`0Zh%;b|@A;f5uH^4L+e0`qv+B@88NM=5uhJZFKU4IW9f0
z`2+I@HfMUkOh<O@+Jd)R?;rJptKG#P5c3C82mBJe;oiEuMPmH5*1j4#S9tU6!Ui!u
z{Xfke`PX2bLUny&e0inY`F$p^U24r!Vt&dl_WDW#_}W>{KUd&kaq6R*u;wti_YGKK
zck*L(*yOOmhz-oFHADL!Z17)mq7$t8<b|R#Jp7zv(*bT*SbZY{SN8{0y2Cz(Z|0@p
z%8MU3iTQR#W?M#LaO4A-QEzzcVnx&un3gBxq!(QGmYhNW?z5lY41gUxt4|z&#XtA5
z-i0|c9zUXnJ?sPr@4-9Tv|1@)U&rg0d|~GyrzbPBcwcJCV+w&+MTEOP!-5`}=Y3#L
zyWZeJ_<G|9Y9hUYPk2QEoR)VyfY^R^Lt1z^ywt4wUogB)iZTk5lV3IUhb=e`b34JY
z1|EFG{J+ie2~7vMaXeHu2wr}WpRWs7+Q)2#!yOMTC$-^J50$b|SfJ=@t1?XYQpGbG
z{;ierR}qe)c{UgcUyc0ibON@~PDvo<3y$x2m?;G(zrCbK%r81P%=JJ3-kJR$TOyqC
zwXOC5{O)C<>l65H;BKkCaB9(gsdPBcrrd@DKG;3+keJWJclF;G1AK3~Rrfhe%AL))
z8=he2d6Nax++GaY3D=$?b0y|SrBXzf?SOxV>h$Hoa`gj8wr24Cc85{75<U~j@@NCL
zbTD~M%t!2XGot<mv#Ct4_rM<dyw4Wkjys2Rx?zo@*6dU8q<>u896a7b{dyGMx7M>Z
z1Cu4|2!4RYCvz)=F<-2F-S%fae0*0MhY*~3t<tsvu9i3DwT6v5^eOUT4@aX~8+ek9
zB)S;xYO*3H{s*34S0Yph?|)~X=?{OoU{q2H|Kc{d(E_g)X81pcDNV&&n_zPZieD+P
zXH;h>vAzJ+BUYhg_`rO|9I?ItzlTTiBbZ4<?)e9Jso-8uEL?DZ*0Kjq>rpNDhYMZZ
z_=jN5OuZ#vcu#)L?`|UfxV)quykkU2rWIc26(uo%v-CQ&8sNh!YQ_q1{;VQ1vA-oV
z<0v_}aQEZ0b?~k5XjN*M<jK#S#Q)v@T0HZngrmah>xknwXg9g`a~k6vsyG6O<4;y_
zNLYi-CT0}cVY9@;{-5EQGRc3vutlD9@gyuq|F8T#9P;mbQa9`p`QM$7@cF#I-CeLE
z%Wi4ne7n}(mQ@k)71V!?z?T$i7c1Z|2I9KI@arfZ^VjgeLu-~P*t>xLVG(T5r0Puk
z&)(C*pDG8IVeyfihacz!$!5cG#wO9TFqiG;m&ve0b@-)aBEI<NsYE!J=f=xLI4xUA
z{~_!j`_N$xzND;hKL*aAcIsS(Y4#><hr(ClOD~Y&|NNsn!mr+gEz2TviU0MNP%aL7
z!^dsfgc;z0q7DU5_?UEJD6w8(=lGG=PB1rh8#NECr$WME4<8JOyH2bh;E-w&VFe4i
zznvr2Cva>(_`@7lOY%8GtY=lEe*gMq*y43eqYQlNgkq;I{5nYI0I?p^v(L|zF2EC2
zS2Bq8rg|dPvsGXRId;;su$k4Xy-M(_I3_<`SgBXdPack{Z5=1pkNVs5YW*18pjews
ztRFRM;dw|B9`twHx(rJ+OePA!*98o{Y~Yb6*T@9nd1jj7>#*^`_ijA!S?Qk%4zTFW
z@Ek69wn1C>CT#i1IA#}|9wp7<0vpt^H&VmRVl%gH!IUrjWJuvc`UVM4IM`g~=D*K4
zzrS3|ZZK2CF5P9ADd<PO4_rA}6TAq2$x^eq179VJbsT}a2RIG~zzS<;GKSzFVW(+g
zeN%E8_V5;X=ML#-!7zP7%ey8xBP_x+5T4C=l3fhHr&Z%6*0&VwK0o{#W;nd=bstV4
zf2ENNM^)v^5$l)w?=beufhn{9{dxf3Zx*wC469DRd>aSnS`8+~!5t)|&arSAcWzJ+
z{CW1d#8a62@}<%MIOl?9R01sgxm@H9EOPG0#WYy%hq38xxU2Ehu4LHU^5}VM_>}c<
z8?jzzB}1?0HF%%z-9yjd{-3fd#_%pFmib(G(qm|!5$t1CdgcWjRC78`8=e+bp&-^L
zRb?A*xdgAcE?5-8w`<PJtHAwQZu?8&&99#v&cR+qEWRah(NEQB1$Z_s@zgtb`R6#R
zJS@(BGN}?iYN;A_3_ieBY19B8IWbZt0kgc&FRz1tQ=F3!g30tXWqRS~RwnTW;s0W0
z<GSG_<Mv%Vu&_lh%LFWW_k$xR+@)&iJPzxoDbFy%znotdt-~8s#a^^<b&B-vHF%j@
z;5#|&T>hSx8S4l4wT+i=O<_D?wVEv>toihk*cwc8*najDd|AoO_zRpV@$s|*JZQ4i
zGXdY(_rB}}{7CkFR5Ls=^T;R<PCjsfs~hGt(tbj$FWtc#_^J)&ofMF7gq6?!lkbD~
zcw|(3fc2ixr@x1Dw0%s7^{m&LgO3ctB*j~!GjL`_Q1k~_WbV`5IoRsk7S|XorNDP;
z1)h*x*BF7n8c|JsgJVwI82$|3f2x|c0f$tZ&`!ZUS<?Rz>vJD|*cZP5lXTu8C&PN)
zu_kq`^YCbcT^2dKk6cRkJN&r!wbd^8F9Toj3e5QS1r;6a8Wh8{0qf+gHt&HO2HgMq
z33K**r6blCSKGLJg%bI@!6wtm3-dI{L{Pw*2C|O(U}2{mc6zwr-hHvdu(fZXDsg>G
zEuXlGz*NlU=G?H(=jCI^;F?6K*uAj5A{UPg+{NZ~{5Z_zb$d*ah_9`7T@sF?iS#Ab
zTPHhNvMLK#99cf43dfiF@}Gn$bErP6!PX87FO^|m*;aF6J$L_qPRys^7P`e9#_-Xq
zp=6>wAG3Ayc>#Mrx*tjG@AP!#zC4(eX@Qd{-+w#}$9v(oCNG$XaN+x}{XW30_b8Hy
z^1ik?S$5bL??-V3Rfpjb6HC@Z@FON8iG8rjQfj{#{PJm$B`;wcJ_%9S;kM}@D_l!+
z`TKF0VX%mr1s+csxNr<kWi#_3^2<txhE5J{QG5B4240dRZ#n^=6r@e~jq8yWEgGZ<
z)BiDO`vpgL^8b>7qyI7_^~19yN+n9LE~#-BQ68_pYYZg9t;VZZa$u6g^2Vb?`X#&R
z7jV||o!<pv<8qr+cleDry#ycporlrkHZ1K!MamAlEoql%z|9l9$_(&HryqfuaJn;v
z!7lg|-{h1Od@f2LfgCp1^(;C8i;r}!lfrrzxDSfMnd2)`e~_P>jYVrm;VqV=*bO)`
zLfhsrk)EXX!#B7><+HRfyp!Mg=nA|%5s<eZKD2vc?IT=B!NGnA4qHvSGysPVmxS}e
z8-A25)vz?n!3}=+FMp3y72GITdy@;cZDU=_hc&ZOsrd-k&ubFb|4Frs4;$Q6K^yZ7
zE^A3w=YaR5eO^w7tBOw6GQhWdsl}hdPTR?mOt5TL-IsVcovOow6jmNs5{iP!x`ob>
z!<9p?r^8|PTpjV%Nqip}P74IV2bS`;f50xXZ$J6L`x8FQO~IYCOMIU2obI8LY4}uo
z$FLhb*sGS(M|g>n%K<i}d1BWO{|;H}zX7Wml<PIX>6^#cuELLL$OW2UKNry+GdS=t
zAAK?0BkjU;8Gf#3Ia&e-rMWri!{_|JX%@gMYVQg!!aP4jc?;p}v_?7&_~CMSY&Lve
zSwBhvzI0VcJQogIy0#<-H(h)4EFIR{P3uYz|58l3oe#T~9POor4+`=xKZ7}`+?Xlg
z(gL~4EcoElR7awI>bqJao(#XbFZ|;N>a#sm(;aCr<9JLyQU6`sJ69Y9C(Mj4&%-kI
z-veUcb8@WeMExoJ&}kzSJ|Jun@d=(3a&HQQZ6zkojlwryy1ev+#cv%ACF*C%S{H9G
z*jKmmbPp`Z=5Xx>EHTRz)CyBRvpHr5pKjSmY=Gq&MxwQ08)k#?O4y&g+f*0kK3H|5
z2#%uSisXRrZJZG*gEh_`sbzyVKD<qN1q=66$F5J{`|j>hlXBQpnX~Z+{KQAytr!+>
z_ufAY|FtbYRz<{53D+5fvpU>Yi0zR`+?H>K&tDzOuZ8zK3vy_LCzns|s(}^vZhfwV
z`JO&)ZH8+sC|E0CZ-rk6n_z8OuluiHA%*;met5wzaJc~98BI<~<j3Q{EsHFeQsRmz
zQGZj)u!qFJ5B(y-1Yuv7$6KNB;=9nmv+x#EZ@oXvviNfHKUjuF_k<_RZ+>ss5++N~
z`gaTFy_qU)0duMkI@`it?3cue@}AP3aMBXKOKKW%7fwC7|D_?kz8e0g1LoHMoqQfP
z_|H?n9oCT!Wmbek;+pAJVam8^8fm!9IMbG>FSIt@?~1~==3mYJgWDA^P6@%fW?`qd
z;k(_R_4dQIyThyLP#<NE<dyNjyHA*M(ZcnQlto$Lou4lcGs9)S(oFZjS^~n-Ot3EV
zi4VKr-_v~S9I&+7Lkb%ByW+P?ME$7VBIHR5@4w#NNz|ubz73B4{e<^r@@v8Tu=gNk
z(;_TEdf|)+EFNR{YXR1N!I~}vmr1VPn1V+uH%ukqYxPP=6L9U_no4olwrPlQ5T?&g
z@+6)I%pwO*55NmkLdS^b$)gB8kw#d(<llGV`5_sTYFrPu3Wetq^?%-6_t{sl<_iNG
z;`xC8?t2u%nbq7)r{I#$g^SrRh0aXCIat$pojVJjJ!U8WA6#H_kn$0H&sAho4L<L0
zeIgbXihTX%JRI$xu+Jan@Up$735%W_((;AxcYPDS0Go@_$T`3x*Hgaez!X8}?CjtJ
zKln2)!F%mI^o-!y6YXY~;Wmrc!G`eezZW_6;4+12M-^CSW$B|ae7lb;{T!Sj^75Dw
z%<WLjdJ6s_d4AOr-WXaqClAwGwd9(?sW-Wfiok!^FWXqdv2GVFgy0TZ_NHrawB7u`
zKDfI-BfuVhae<wR52khDmA?UR#HoI#hnv2n|G5Q=v3l&MgO5Kn)pvq@tQq5Xz;1$9
zdVOJkK8xQZ@Us9WvAgi`q%FIRaqMs53x6`a@!m<|JAClaBfms=C-v^^c{r!>ta}AK
zAbI}ABz$dprmqavK0N<v5FX#jNZSKXu6(`K2j6hWwtf$P7>t-}gGFm?_x^<EI8{b#
zVU3LM?rX4H=(1)RVId!(y?*Ggq)<Ck2ybgrb#cKvU!--H!Ux|q$*aM^E_&<vMEt>P
zlj`uzKiR$|@B_oTSZCPY^MDHxzV^>W+7%|rb^KQhzmAu82#37~bfbywAKKVtdH^q+
zPURx@Z!7xVjKd$}gQzKk9>e>6`YPGrgLQ4cBjNDSJN63jB>|<c_uv^F$2K{*{wkH3
z5Bznp^W7C#_umSiJ4}&S!f6O=Y?VE-hqWb0Lqp(<qKpztcxZiK`X2mk+e!EeEYm$Y
zm<ijF)_v86$vm=-J%gQTW6jjy3;qcOui=63&uY%WOJl|~ui#-p_v5GFmR<h^*22aE
zo{wZ<&AsFk)v&3w28|?Kd2{sgdzks<X<IS)lz3cmC%jjd{nJ7CWTu7K7`)5tpTYsS
zm5VKG1m=|Nf6WPN6%XwA3SW~iU}l5=O$3>Jfqi&`Lg-=Eq!Ys%u=tOQ^EB{xuc_m|
zU~Q5^#$>RAXvyj}%yOP8f&|_pWTNpG?kSld-5A63Nb*lJZ2<av$>Pn|;JMF<2X?{K
zi5R{Dn=y(cal-UP>{9b^o@?s{J3R0D<HaXf_yvuaI2>Z2b8;BIbtUD#DEy7_=*u4X
zTr1-a1^8qC8~QGIk64<i9IRg+6VM2|*6bWogSpOAeXfOvhog?E!f*BG^vhu8%vf7<
zc+O#K_BGr{%hF^D^SF#%$%W5Jm-}CbM|XvU<-kl8GUHb88z&o*G`Q{0&=Whjbb>)V
z1%CZR|K|-@^!e(uI5=x%^_4U1yBzo7A-u1^w$UEmEg>g)2d-E7<L3syo*K8f4cAI<
zXWfLej~w7T3&&2oTe`s9nN1h}gMAyAj}YPH|MoxTfVmeuzYyDRc5Z5BgPY=*w}|cc
z)tDdL9!2{GxkD+j{go7Qy)9USV^_Nqd@w!f%@mx|X&8JPPW&oAJpr4l*eek6Z9IN=
zzK1pQivM`S)fVx8JK=F^9XcZZ=bhq4Z(z?ik*&UP(v^;|S8!<YGhZV9pY40DY48mF
zpj;4~xW<>60*AfvxJbnJK3PhB5AN1Y-4z0dJkgX4gfESj)CIzqbZEGp;kzOOKH;#2
zZmPNyEF633%3XLu#ruZ{{OtCH6nFU4--&ur*i*@0kI1j7_?UcdSoK!G6C%Hyn!b7S
z!d-p`e%iv<MO#)`VX?S_CoSQmw0-sL@QcXyM?`rzGWbiH0Zt3<9=Z(gic+Uyg425h
zqV-@;iJ#v|;B{v4ehoO;>P#IOOn)LKoG5Qj{a<sxkKlis4Qbt{;ZFg_y?(%_I)hHh
z!@ee-7kl70nbw>C!EybPci+QK1_|_v@ZOlrv0}LGwqx5l*vZ+L?hTRt;j=Mi*lN1-
z#uGSg+aZA{&s$=FPanfZz4MwxeBqt^LBX*1VlM4PIA`_an;;_m*mdg*u;8xehrQvE
zs{;JG@Uiy>m+!zQTgUHe!)z*tyKcc;43A~6z;C7p{yM_nA5#6$hm|Eg=1k$@u(AT;
ze(7~Mz-9vf;Z5Nt^2=ZA>Vhm>{abO!3~sHX=R675^B+BL2>()5Ut)tBChN&9;BU+8
zT&!@6oI-^OT;3nMlLBtaX>q#-zvh&cB8SIMD~l4>>+sqj@9Hq#|IHh|5ZCkIu=mAp
za5$~+85>w?O}$|bexdl6gedRhMaw^C;0UU>Mh@_qBk!!oU;}M2cB1?w)fqh=fmfvG
zoLyn#6cM^U*fzmXj402Rv@LQyFdc8pEK&Z0`K%Atz`w*L)BWHKQBu8kFm><zU!r`H
zU+ZZrh712_lm)|sYS;g~hC@rqSnk2m)6x#Pu-2RUutzYx{pGG~xaQEUxmftlQQ^}m
z@a$$s`cwEwf61*RSSaH5b^^TeJ7n%5%<lfaEDgTq%E%TApAhh5NrgQ(KZo6iR|VR;
zv*9ugn~D(l$2Vt@Ecl?5oVYLSLsc`E4~v_>GxdS3zFj+=2e0Hre{h8xc?z~)!>xG?
zJ6zz$2eb`e!6SOp9yj1_>qji*aL7@!=Qi*)v9XR4SZ;zc#sIb!U<-K%3mW;=>cL0n
z%05@ZZDzVs8ZgJ&a&iOw;7z-gIy})E`KJyJ;7lDp4Zr$XUEBuqpJk>|hP9pk-E4;A
zZdU#fhZ)Zb9(oVol{s=i4E{dZ7|;oC{w95V5YFzLSLlb^k{z1);h4GuKYL&`PmUsH
z_=2fI(GYA~6F9*L-+t&}JpgMx5N#uY)u-+s7>Daz<9}}tq5SGM3=hM!Qc9nf;3~bY
zM^o^}ciBvf@O@g!3!h*wr%PMIa785*)f}Ahv{-lu4qP4QB;v2SN#3u9g_l3{e}Tt$
z#g$dTznULy66quFhPmB`m&RO6i1ZF4%b6jBXW5u$;pgqOoW5|el&n5+eAly#zxu&J
zidKGA@GWKMT^|S0K0vZ9+X(0HpF7zPF9_1-64&FwS$g`{@LX5CRTKQ)&`-Vy4m-4;
zyB@Zo-y@g`5Bp_&B=VoRAy6+FuHJhjlF0uI8#cuV*jX@3g~<Q1njnWTID=G-v;&qi
zV884McT}fT^uaZnfgv8S*07*+H+*E6_11NmR4wYrAS~eGn`Q+wNo$7^`9C|O!fFg>
zSC^b7&X3xl@XQrhsMS4X6#gRQS*``=+6-KthGksGzGxEhqaGC#`Fk=a+vGgVs<Ps+
z0KaXgd~g<yipXo9hlk91$rRvKW72!y;Ls~#5_0fzb>-wT+;-_tmL#0~Et_FyAfD&H
zHjjzI1(}97cfcnmTXF<oHHN$m6_|7vi8c%Tq)bWYJj|HZ*Gvm%@lW}i!d&d?x|Fd0
zK8JB*m?wQ-+xAC{9}`P{Yy}@EQvSUKpHn@&W(l85WVc^~{h7V2ona<V&5m#I-&xWI
zC%7e2P-z|(NEh(A4ab@&IL^XBu{lHTuwy^V%ozOoT1)I*INR&+o>3ybtLln3{6dE`
zv=2URel;fuzVv~yv<G&0FufxX_Mlr3X@yIof4>WZA6oso(hN_Jx^v!#C;z?geh15M
z1b>Kz9mR+LRl-3R{KFo=)YV~Ma$z#A`)A@{zvx)@7qA&0eG`#Bpy;-$J$!Tz4{ZQ^
z*!bpNM|dhpvYt5J*f>@SQ&=a;=%OPWv%Z*R0Uxpa_QD=!{9L`)5bhtn{^$hk6`I#`
z4Nh6x^IZy-h`4>$1a2}tAT0);d7;E+1|Ku+k2wNcc+rLH!$Em7g95PRr*5Om@Toiv
zdlopP`}ra{9AeLPh#PKDUD`_qr*~S*vcraK%AWHBXipp$TIYomwgPizVV0@ad0eoU
zB~xraY>;htjUV<|(5mZ$L%yza?}NLQCvxlHrmNW>55ZA4ct&bq_65;M;&{}Ha~od5
zW^9A!iR10NJNF|WzF79;nJ^rBslYlD*7>JkA_>Q?&BkZIO4a|$j>7*57SKM0ck-k-
z%Mj_)Kg%Y->zl^!rC}eb+`=f>$~s#49Q<`@*X{_o^`C0;8F(u9LqH(xPWMUw0$e}$
z@0CBiR2TPJ4KCi<D(DGYe-W_Lh7axiuIB;&tQ={%1amwsZ+Czdx2*gx!#p9M{@B5b
zOC00+FqKV?gB9$z_rRs=a0L06PII`osVC10ZlQmpd>Q5|*1Tp1YgBeQ>BA{Le`{~R
zcMd(7)qq=q-0u+gM`l40%LVw3-Tsfn{n2;F`~H7$U_^WraepKaN0%wXj<Jf1#Qo7k
zWg>bKe(KL_8Vr*LdxcBEM#}Z&LGbNQDx{*YKjRUX2zYs0TU-Qwu+sIOxF1YQ_hlY{
zlRrv^#=`ds4}I7N|LN<SChmvzwx8!Y;NKr4lM`V4oZ6iYezDT?J06x|Yh9#=M^o?J
z%!Vs&H>vJ|V_kV$GGRB~xN0)EMZm=`A3j(Vxl97ju<shng-70+T5j|c<;^heHLSj0
zFXktl^ke0F5xg0Cka8JTJ|1|r7H;RIwpxIHlI*FehI@;KhbCeB+XlCr;ge%cR1<Kr
z<?M$>Sg!lA_eYp(UEo0{?C`-auOIICTlA$Jwmqb?uM^gNzL?$z+f$s>Y=^_%yKVQt
zX63Yvb?|22gySR}dc13YH5^%N)$s}L-;*9+0(<U$6f_6_d*$8q2F~2gJ~;y`|F|TZ
z2T$F)p}h`weA|Bf91cG6rQiqbaODGCDtxm_Y#(_LzP}DT-$;ZLC7yec5`L#L5lh5B
zd%8~yzM$8!5dyQ%J{J{*t!1<AeBsS)+CpczUEP||5%&4qsN)LX)4G@F0e7nOHU+|)
z^{KyIVB;jF{Q<E2r9k_e@SGUa!x)(AVN|;{9HDSwB?|6Pb5%5h?M=@;e+;u}{IoZL
z`6GPE<KdZWBcFBQea)_w$?!$x%S<}(B6B`l63ktx5Ud7MT~F$M2Io1J6|2C@y}iO2
zu#Z}bkP<9*>fQ7USaOK<@+tUO+xJsBFg45HPANF);^0OhJb%Y&>lobnn_A~3T*GeQ
zBm$d0{!056ZZ~L65rW^E@3k(5v-Jx1?1#NLHu$RGPYyh%`QV*o2fZrb>Mn{>HkhRE
z@3DGVq}Fkk1+E!B990X``WalIgQNVrl77K-Mx!Ytu%Pzz#yYGd)w*Zn1L~JoH*G2I
z;rXg=>a+&GQ}AvihyQ6_nEeW~H_7_!f_da)_bk9IPO3xH@Orvm=p<~xv?GQQwy|z_
z`w8|RV_4b^D~r7r`3N8A@-X3rpLmIe_Q9OGzGd7ngFVl78@%V%h|m!@BO=VO8D4!e
z79<Q;<aoV*2Ma$9QjmmOI1Bz(!m)pY5{|-O;!|$Df%pDBq$LAind(e^1sAc2ypw<p
z=VDx<;GYyVZYSZL)-~x5;6n|aQ^fYZQTw~ygss!Gp31@lH3iRXVJTO=pTzcTmy$Uw
z;FTK#1xj#>cgs05*wS>6S`ogytE^HVcHPa&;s)Q5cmAge|JOz8=mOWxSi300Cui&r
zdBHXzF6oN!$9jVRPdGo?mhA+ru~sAN50BG1pOJ#ASD(lE!iPL;%8$UMa<msi;4hu_
z^TM#(*3gb1cxdxVFDIP8b*w5J{;+03!U2=K<75wm-Ai>{8Q|8Bj@>aZb(n4jJxo@n
zBODFCc&X056E<DU{QQ_me?{f&4me;bSRo$voK&pX?8EmveIaiNeAi&N^BPR`WTfFO
zES<M!dkao8wmaSopLsKN`8P}=nKs-4|JpS>O^WT2^VL+$!D7W16aOImOO+4nEPNsG
zBI7Fj{z7%v5`1xj@6<QAf0x(cMcA2P-<vtuW8{0nCj29;Z1*%AsF$<$8y=i34;+C@
zw3w`@gYmw4{LI8hc=&!pH6<KcaZdL={3brdKol;%KOxfu4_Yd}7J-c)&lXg{d}puS
zI0jc$#Ew?L@e-6x60n2NlS{8*lI+t`%J8pa3wbZ$KFv>2im-Fn_kG#$#?-I#=i$`i
zhZi$p(fsI)v#?-cVnZVQ%OLZL1}x<yxB3K5C>mf;gCAF`kA}h=d!|~nU`_r7>JT_A
z{q})NM0$@^pSy4+kMD>9+)@&r=M86dvPkK}IX52dbA`h#*_KUUi9nHy&hR&h-1EjT
z=ab_Nws6!`Hi;GdFue7<HSE?abHx(&C-1vv27h>Zl=%j{^xpEJ39Oh`Yi9#bWZO~e
z!KRUK1e{=HjZG;X_;QW1uLCR_Op&JsD^!V}aED_kqlQ%AHu|a<SHfveG?d`l(g?C3
z*zsCsjy%lKvd1_8J|$ela~u|R{k10yZgV)QE(r@|dO3u`Nsr`fh2XH4QlB2fKc^(Q
z1Yw7y5}9~7QBo<I2flY<w7UuxA+vU2f#ojPxmClKHG2QJVKG6b*)EvzJBuMF%xdAO
z*a<&qI`p0q&a`GK9EG>rhYr)jZ_Qn4Mqu-frDO_tca?126l`=<se>FQ`IyKx3Ae}S
zDsA@SewOD6{{|cHTYdTqW?=Q4U4~!fQ!=i=p*hRC+wcj-xEo(#PQ^2YTk!3cyoo9J
z(V42V2SSj)-S6v$;N@F8()PiJ7#5^^V4ZJU%_m^V?i<zZaOG{;{nGHC9U;f+VZYNW
z4py-1AA!@Q@DHj+mg_JT4MkTC9L!?gX%GMIVAy;IJ7=uFbB3J{<vc|nvtqIK6Sq6?
zSW-dD0Q{BOyv_&anXww5gXy#lzdVA|zFxK>jyIG3=IMv9!?5o#alHCW^qWuNE6uKy
z#P*a{xOJbvXV{Xw-ovG|6}0K_qwxnhoiI(rU`;Yy@^LJ-5}q)(^T>j4o$jnDhkZUi
zxt9i;>^RMr245xRSIB|yjf-DMfn&(Lg=1i)9Pwg7xc+?qR03R*A}}QYug<Q^J%*3Y
zoYUuq*T~X>qTm*OEg@dGu;+35Jy_G8>C4w1^e0*mU48(&EYPwpz)Tr6Tts+6U#4j_
zOx3a67XedfrG{6*bvzeC?!%Xkj=JT+yGUG55yvB;^C9B}Tt)jVf!N;_$5r-p_y$#@
zCUHFNc5`P^;R31E7jf|70!2kU+@wx#LFC7B-LJVva7v;~Wg<+K#%de^^LJ`GKZBFC
zDei~CPZT^miTr#O!~f48jt&hEd;yR0GKl!W*<5eNpTmpQVrd>Qi+}B-LinX1dzTyB
zD>b)L0GA#*aoQd(FImYdf!S_wJKls3&YigO8s=&;HoO97^U5$)z<cr)gD=BIPmOMt
z!3>n<Tbl6IW&H!Sa88Tj;fwG<UgF0pIHuo^SpkkNjeO7uH_MtT%E9@yeadxk+KE&l
zVOZqeyWg#_>*+iChvDrZ(t;*fO1x5u9loePeYFcN`t;DA6`oo@$k7gKR`wfE!0aNV
z-M#QFhP)th*qP;Y;CuM{=%T}FH}Z1_i|j|ZvcD$r8!X3uTZM>UskLuw0Dfn3iewlT
zF8^_;AAbHNS(w<q(Se=kLSRybGgCx-+Ts!Cd+-CzP1O##Lr~-VRao|E4Cx1$W_7=-
z1$^n}N^v(#s&d8j672uS=jI^%`|XkNi*Q|7Uef^lezz*=Ik@3$wd5?U`DWViH2mQ4
zT*Nf|U5c#xBpfASU$hCE(_GX$4u^h@*!2gl^|Nmmfd|(EJg7s_Kl^K%|1cbMJ-L?>
z_D-O9!Urpi+U6aEJKdYqIp7Vo+dBo|#=$SO46shYMdxGi8>M4=>EP9IgH8!Jw9_DJ
z2W;lJ|D-Z(PXFi&3A|>0@S!5i)L3q^@gDVIV36v0c)LYA>?b@CAN=er96fQHWEtMw
zKWV4|`&92fvIr~fntG!S|CE+W{|v`lO5f0d=f1aeO~U&sk2h+;O6@DBhu}1^dv^?B
zS+l#2A7SboUom|+@<yj&6C60uGGhWi%rp#cfTy0;C0v2+Q=dD%hOGn0G%aDjyOPO8
zu)6AYjyZfX$B;P(X1*X}W&>ZfoH~^aUzd_BzYcFLQ5Pq}VSlQxjli}=M=u7zHg7{}
zhTzbgs|}v8an&=oNw|#q<u?!bcjAriPjIEhl$9ea_Rjy_9DF4CaEv`1Rda4)2HtC6
zOnD8a`+GTV3GTH|le`KGv`?xmz{;}JJlgQz+OPk<!v?=pRWHGIg(v8U_!oZ6<VeHq
zB+~V3@FdT{f#YzNV~raTzu;GR4L=-mr$pp8{Gz38aX<WOl;R{2pH}~>IyJ1T^lfDm
z4v$aupoHnP?__MiF<v_@e|F*gZW&)DxsU!53&qGa_;Sx2?O%j<OJ&{u3}4Hwt=oa{
zV|8PhlW?KFnj0zH5_CGM8xCLO5}}6EN<1pN;3Kn{pD18AoAInFc<#8vBRaU_6k}fn
z{MGB%c^Y_d(yi(R{4lt5n-MNB&i?WoUW>eAzyL294x6OH$|chD?6AZu%CKZOe{$nG
zD}0VYmLv{-cA$`(2mY;WCGrsFyXD}{1<#Wvq=msHIlWWD@Ds7mzk`YN<>7Kdusa94
z!(CWr|L1HOc!E!-`40SUJ)ZOgoOk@boHKkXV)EuWc$~HLp#yArAiC)coUFG(eH|WL
z=sc=R#An=XVF~A*_6XC4t-Q{CG=$k?pZ~OgEf_D0=@a347c|XbrtFw!8ZeEIV}&Ek
z%o?|)3OgGyusFaq1Km!_aKr0^zCQ3EZ&RxR%%od8<OTcfB0D7oKN&t783<o{_{;Vf
zd^Y9Nyg$4!AvqxobD4b7j)Cne_MA8bx6RzjkAl}EwDNi3y}U~nkKu$s`5|sty3MCD
z4&E@jqrn0j@UA%}!>ac!J(=MzO9AbPaA1Af3JpxAZYh-qlgwQ|M+ujWEk(Y7W!17P
zw>$CvF{^*(73`!GG`|IZe>#y|2;bY;XuJlu)SS^Ng`EdeLRVptpE{Jq@Q-p{mq|Ef
zps2DEZk5<b`2=_9onWnik7=G@`3N7<j%u%i8#3sW`r)rX_XyO&RQokbI^g5Gt%qCS
zE0_4D+Te!+3zE&Sv$(l_9o$VL^Q8+8mlY4FfqT}=lsn<ucbqof!enR3H$K4n7V`Wh
zaITL3r9POG{BA-%JW$iLa|CW^JlB{D3;#H6HUwX34n3Ixr{Aq@n}?TJ7-Lf4U{@Lb
zIXF~Vhccc>|LE4xGVIdDB>4#TcsVbz1kYd5dmavVeC3*7gY)YdKir4K4@WEgfY*z3
zRs3Okz2#i8F!Yb8)}{Kug8If3q_EIcN>(@c^|^cHRPe<|rAjVv%FQ3ll(5_G?UEbt
z8tF+NR#-+>kKP(CT1fl22ez9?3^0W)3rCdrVY9i};VUq?vBJ~+@Uyp~n%c09OpJpP
zyj&Nztp+nL%(t9^o3$pLPs4tcY)K|?Ryy5&Irv(o`A;MG;HqJ~B<#Uy+ja-03RXKK
z0(bX4Ki~-~#yu@R08<MmMTElRpS&6Q;MdOwW`p5VobT_k!L|7>DN^9go0QZ{@OI>c
zNfO+jXy`)?-#Jy<k_TthviDQKlCz)p<-++~cB+3nFrK8bAgmm|#?77f8|FURKV1r^
zWZYu?4lgRkYP7)mzI*JJ;P;MivYX(hqc^6e;pRds#sN5bVf(}+Y>??^`vI12)+-o<
z-BWaUN8##_r$Ym<TdBRrFnqe{hej9N)+Kjj3f_73xMv3}ORIZt0=6W3uu>1VDDcS6
z!&Y7$oOST4)MF24;gmZ9QDv~#%EtL+c&f*&;w^0Jdth?`zJG{0D+?YD`}A@Zwii(E
zc?Q$jQ(LUSwYJ+8vG6geD%M}H8vXIPXn2mU$6+0&F@9ha3Y)Lq<^Ky$jMfGR!#f-@
z2Y$oBy)L)hV9z7pPf>^Cem>gQatmI$_3tqy+?jqv!IlWmOS!NcPJF9xV+}{L=4H{r
zrJ=9JO<{F~$=%%W4xg=KMli;0S?`6f+%b5e4L4o!<~{(A8G7_zf(L>_-}Ay*`QkN-
zFpVT@pdkEBQsb)v+*P<wiXT4fx^v(N%)pVgAPiqg-$yC}$IKTd9)e|hhrV*cKj@BJ
z5{LI@t+H|u@$V@Z5%CR<?{xpyj`vgQmkg4yohNttU)YMF%S8l^K6l@J1U88gJA4dQ
zZb?laf<GExjyM8m2+(-Eh3m(2m5#$ple`(lu;-2*bz*-vRz=7Y;o8q^q$h}QUM0~d
zu%qB5tE2F{)0yNR@SdHa95V1&Ua6=XJla^sPweksPwfLE_%QkGpe$^h*H>l;|2Ciu
zBev(c7Vu03=G75Cr3lx%#=buXcRn&vCF0K?dMYLge_V0fR)$^o<`{~=Y2OnHPr(B>
z4bJR^3#eaQJqPRVyz0mS`x$qz{s%9dVZK5Ir$~NiQ-h7}aoyVq2Mn!yorn3}v^%c1
z;rV5^F0KhjJnen@18%fp{j3iAy!E>`1<RDu#p}Q`XYLhEz~*G4Dwp8Ri^mh+!|cr5
ze+^)>AnE2#_#Cf@o<4k0DpIZy7QVnrV+xy`e{j7XZj+R#yh5ZWRnWpzVMQ9gJ&u;}
z?uwJ%g|P1*zE*R%x;|z#8{Qz__OgKkFNbqy!O7&*1J~i%y6KoCSW9R!)B!d>K2r4*
zK5}tk$_{q^Cn*^V?~kpDbA_`s1Wlr0sj-F?XZYrA-@Xv|#a=W0066`#(cvKYjEF^{
zAADQpZL$~Kd{F3WC>)}b+Ug1C8wphf!*shg6>h<2sb2EO!+YrJAKJrRJ6?F>U*R=*
z%RDsK;J;J*W}d+u?*~mSV3{m7g$%f9<aqyOBD};u^A())WKu{E-d1$pE`;rRPo-Xf
z^#gmXYT!|av2_(#tiSTzJGiV@?uHV~rAB|S3$EAbsF8<9E!KQG;Hps(spGIW$56s&
zIGn_$L=4VPC|R9^83Wse1>qg4FI}i2@V?=Bl9UIwOrP3I10N&*5Oxq=TThqT2RBX?
z?b-+bSehK$509jsk2?%s-q>|U0`}c@`YHhX9o1fxgooelbQ2}g&v|Q~h97kEv<tzi
z7M*|ogZX2MbS2@We#-)NSb0&(_b6N-QL3u}$J}nAISC*4)uh&gbN8woKLPKo$tl!_
z3tfh)72%4x(^pO578BhC1z4tt^tA=-qTu}RA{@_{cFh*v$oz6x1J-y-L4Ol|BI5pr
z$nU=XtXgN7d31hU2Ud~1!{81tvXZV@!MC#ZHTb~wr|o#I!g8L`H+<ngzkWTx2?sUH
z@P@$eZkqPl!s=!G_F-@?*{%6I@bOc<`(laoYkf>a`H?ri(E1Q|8@Q6>4=Yq{c_qTP
z7|NP`;eylK?J2N6Y11fCUN4Nkx|<C@F6E|-f~)_N5zK)bn$x2n!wzp(h6~||ruB+A
z_){;X&>J|N>2Ei2{~Y$IAFF^j9;j|+!bgwl235h~?Hxe{a9|0OOe0(p$x@gHr>o~o
zG{K|saVLx6&0On;UGQ+m@YUC_l)w(TZuo(_;YtM@Wzx9v5jJQ~;3$W`mRrRS!O6Dl
z&+6d+x(=yL!csf6yK3M@x~|nJn8K;spcOXA9;_vOfbk}FQKUrtH#6Zj<Z#?+n(#Kb
zmHd4mC;Tkko~9A*$zd2{hkZqU-K~VB$z(Ug;N3ANw@cugj4qm@@HwVNXX5<woDS}g
zf+cQ$NFvUUE8E!U7_4Dv%KQu#<=@312YV#nkWYul?kZZJguN$zzDj_9i$=XyfrpP%
zP!jojSF1+wJRFn}?G*t>1X_$-glpc!W`)6)T~U%6uyz0+R{*TREjp(Q4>|Fk^@C0P
zL*ljIwQDj*9pTPMZZ$(V`0w#6_Ap(pN`?W<$Y0-0ls}vPAw4trcYNg^OZe)T7^N}1
zF86Up3pQ?gTYi<WLD%j}@MC_u8|E<i;{2aeutG;Tj}5%HaEzb0Kk9rZyR6`&M>lpK
zfd%Ib{Ow?yqy-sa_}}+D30pXTmO_9NmSp3ab%H<ft!uEu)*cRV_V6F?-6ttwZ=(Sf
zH~99+zm^p6_x0^G7kKUA{h_T^)W5&XbiLp)QCIR!xNY+##ceoOHfs3`yk0?F<_p(*
zd$7;Ld)W+ZykUQjSn`jsW?T+e5Zq~T`$#|hKJUFt0L(&5nb84Dsc;<%gM0hFbhN>&
z=dTS0!{R;^rDbqx#*45>Sa5k}@-0ji-t{>GR#<V?e+l>QppSn9zm~h?mk*CKi?77O
zX~~~{K7$u?Y}22@k6O$4GKlm~^0Xeq$7cq1#lS`@;}ogzt<r+yQShzqZR2Ek|1J64
zV3_T+2xAsJy`QN+2%b?@wRr~H%BQJ%!{fuZxbon#_FFD@U@PiKmlrVGIkJUYa9PPK
z!B_CNSKZ7`Fd1#<-9q?4q*<sn{CeQ4L@69ODE#^wT&uMstOQPAsXSx?_nqWXcn3e0
z3)C`#3&xJcRl;t=ds?*NgP&DY8sJ@@hQ42dd-F`v>fm={w%1kQF*|R{UijCWh4M4-
zJ(391ZusmcFL8O8yE2Yx5MC*gHk5_4U7y(wz|8V(?<L@u8adqKu<4TDZ*iDUtk`uF
z)*ssAa0pHoC_Xd|pTFMv_#nI~Qtdkhv%E2)=YfU0U(bGr#gi+{IpLDjQiX4DBCF;{
zM)>B1{O`ZumRo;F7~miO6{`G%cd19ZQNn3D4_;D463@$_R&v;pC7f~x{N$s<sm&I=
zk9)Y5?}B;B7;JvS=ggd#XyCr<S>xZ}d!r{jIN&p3qeqwE<_NKFHaMBfC3_l<l3h41
z2s`gf{4)WcEg6XrfZfNBIS#^ck3xSOgX<eK>Oa7JL#}F)@U8s$6CH5=0&9^neBN~}
ztOfSp_)Db(XNE?SVp5{w^vM`|O?a<lgia-F!Q|4U0rNW_ZhH;aKR9t)4?ZE5@uLV1
zj$rT6f!VrG+2p{1f`b7@FpX_VOg8-JLdl3BTz*5FDh1w>7E-c>E$yYQJcUOD$rG&M
zj;9~GW8i_)w%hKowr|dXNI3qlyq+6;bLf1+J@}B?<BA~obIR^Te|Wg-8gn3A!e40a
z3IDtB#v>L!+G+j94K8`=-5m{=d(#Nn!%oIV^Uq;1+Z|cf@BkaPVm55X_<XM!OjYbb
z(*!33)Ycflvpz>G8er?i>r$F9kE>d9A52{^9-<DbP;c_|!s*KQwok)prhz>}FjH8i
zpfc>TSK{y>?C*OuNd^vyEE)L(Q)S0DNyF667Lw!e#lNTI#Ng2#Q!_L05~-ur5!kAD
zdT|0?o40OahVQ;GNSTM@%;Q%W;nE8F?Me9kkK;`%&BT1e=W4^S-NhYA-(j^cMj6EZ
zYk6NVeSt0Z#3;1F<(@J%i?BcG#kgjeM{Vr*G(4NP@VOfHR!ydzg%5Q*#8$$4**^dJ
z0MiyROum7qVw1ZD;N9uzQAP0C{S#%4uyg78@f_HbD=w-TUOyi$p8>n=VZ5FR^IlX4
zdkS0rtd`G)hYVe*{ouL*qj(;8cVI+C2&|Z1Uc&`Pi%GQmz~&<g{$HBV-kEjG`yR}6
zCn<Lh7Qf0EM5I4$YDC)wvnWzYhr(sI%8qxy;ZgGnMERiIa*KNfU+wAp76z*Y^i~(b
zjFHu;#QrR3H(#W{wbAKXQE;l9&W9xUjbZ$Y2XJNHyvie(&db#(4wkA=aE^tgr;KQc
z^7df$x`{vR+bHqw2~78*BG?yxXCc6v0IN7@{&k1<Pc_~q%HNs7rHd|btm^BYEO;qB
zpz#L$YSufT0JanAT(*H3+-*kk;3{v+tLE?_>mLfl_2@8KEHQ@r>xbgX;rk;2BD!!N
zd&2oTm`Ac+R~z<D^iHjTeVMMbtHKHlC$w5%yYv5Zbl>q@eSaLlNf|8>nUy`0WELVL
zt1?<fB&(#NQi;mWs_YR;2=O&SC429T>@877B`cEfd!65(&&NIYe(pH;+;iXeyw4|c
zK@*-TWKSdY{kpIC6=nF=$ySqQI5YNg=n>e(Idn@STz~7?LoryXMY)*NcPWY16j4}y
z=v!42+?5wa%LrFS`QGV-)h3%HcEB&?4?b*#y_mv77OQbQ=j+5tef*POSGWKtB?k_7
zz@?c>$)j+P-|pZ6`0}by>j)enHl|GOr@5hXg{|=RcH22}KlF7y8f%8V>5prZ`-$V$
z9^)FAqT}PrH~5B@wr3TbB$siD+)vuazWgbK1vrH_{e&4;HuDs~>#u1{zr&t}iILf`
z|9=m+&%+hp>&mj=7v?55vv7UtMVS;>)}x7K8TR1tx{yT5UwCc51n)k)yE7KnJn!B{
z9fbB}`kdf1IB3&3kxlR+xw+UNSXGwy2@{;sy64wpI3#_3j1k^_tiZ|(mgYGf!4Bs-
zH$L%zhe~;-S>X!3OH|Hqsa21j5d6X4^~@bOpgI1v04)8Ov+){y>9zJ28MrV_VD}Z+
zdT6_)6rA2&6><?){Fzp*3V-S=8#9I7e%bC;f#oF4jnBYkr*fLLV0B~_oFdB~+6!pH
zYF&T+Xv1j~zkSca7hFDTYrr3u(m$VpdoQ?`9f21!`Bkmq>PcfpdD!n}PqZamu>8;G
zAY8c3DbpEFReZfc3@$p#LwyfkQ$6m)2Rj)(yzC2KDWz=Sf|-qZ%O1fhv&l-Va6|G<
zo(Q;9|70)|%;d=E90u>nTA<zvAHORl8VhgItQ6l2vrOFRi-O~gc5p0L;eN{u2zUw0
z#tx`1!JI~0rk=rEzZ}^+;kz5w<wD>=x1`xFxSJ_CC<yK;)4J3QUk{HNCi~|XbNfgu
ze1+3q{Q+Do_T_dM{FK#V(F@iXE_@LJYw9td^n?RHo@erhr|qcL{o$|YB^7<)J0IVk
z^@HE0b>z6huV`M-1j7Stulpast3f9&1i~_PTKc!)hH|Fz7w~SUZwWWxgRG^j&*3qB
zKUQ0~>ES)+bl7^F<%%_YDq&As8XWhdaQHl2bmXIC0sQfjf`k$5D1J5I1MCzvlB@?$
z7%M82!80YXEhph{$Nta~SU^uj{TQ5Bnxa+%d!6}vO$|<}ADOR!6PwkIB;i**Nv|5<
zfd?z@5^$;P!~d#b^TqF9SYVDUne$DsDf`PUyI{j4M$0;wQzr20ze?19@6w&E@JRE~
z@V_wc+trGXu#9DZ+axSum~g8D9!`=^9fxDS4D)<~uLyXDb-~}Y@3;5B3yhM*9dPxO
zQC~ak7{Rrt5T*>T6(-x0(sKA+1aB3;=1%rENo1$pTe$X7!1h<L^RPu+F|1vh<4EdH
zV`^5HJ51jy!B6VX<;i>NuCPf)b_c0%x72c`uEQlBLf&NkuVT(Sufcie#|IMN#7DdQ
ztl)zNMo-A~*rnT_Z2@--bSR|2+s`pQ*N15$kNnJpjq1Cqb>R;hD{2{VpwlgR4R||`
z`R}*zm->TN>aeVF_p59;@8MNlDcF2j@=QKFeNWiwAUxzYot_6jajp3&49h7WGcAQX
zjofw#!Q(S)Z;Rp2rMn;Rh22CGnaTC3KISvX0q;pWd#w>>>)}7O6XxceZt8<ys=L3U
zhs!U=^7q1u8@SnN;C+mOk0xN}v)ApY;Guo3gWuqbN9afXRv_LxO#gHmuKM(bZW#{a
z&HMTTW@9&Soq>H9XTulZ_{TFT)9|Ea<j*<STsma;H<;&K)APUZP9L#jWANBdhu?o-
z#h{kLe)uwFLJ~zVo(JWZ#(Lqva@Ex}EYA_yZ2Sqf_-&s-jpg`TM2{ADVTgXyCb(py
z%AXpTT~hYlR+wU;ovRwo7<9CvgN=vSw!Vdb1Y}pS!k77_P2a#@W_37O;FKM`Z7DDd
zb?=Yka8!iKbToWv_u251@D%>VDiQv?=f$Smu=s;O6|%h3T`cnseCXB4#{@X|sb0ww
zI5}}p{W<)WJ&*Y@95VQ%FbrN4DZ3p5^Y-#?4Tk5vxtpHB9!EOeePOev-D0V5KDTL`
z7kq5#o>vO&pF^*CAD(l%DU}6(d~(vk89tIEH2NRhwCSyhEo}3HH8dCY2$=D_1b>>o
zIh74(-%MOKgH6wxMd!o)-2>dFaE{0O**w@~Z&2iEIBE0q_)?h5s;1Nco;08TQw&RO
zb(YqKHRw8DSHq_cWSDBgZhpcPRdAo&#dan5qyhDtM%Y;)ctsKR_-9Dd06Qe9-;jo@
zz8=W?1V{Sbd?pDm=DTlih1c{2=|$n}%F`v?@M|W0Sz&mxJdwEz_BukH!394JK63jj
z>=3ED$_Zb~Zs+|1yLJ~&Y=KiaquM9o7P)~Pn_-4$BO(*<KhKaylyC=MeBUp4q$(?O
zy&Un##tDgO_`ZV;-x8d9H*w@QycFbi{5PztIVraQQ$3fh_yLPE$4#ujEYD9)O~EVl
zqe_3_U^;5^FYt}k&|j1x=+92F`F@74@N^xcfcL-uwAu|j9q?GBf!%L^;qQVITq{mc
z!<`AyF-`D^Oxx9MaMRJ(m5p$w;Oo;{;ouhYLzVE#9qo-wu=q*4i{<b$b{`W)*g}D?
z`vdIn&$opgPK_2_e-B?VykNl!Yfg?iX2PutPs;`2u6vVJY4GikDpmn_W<K$70{o-o
zY@HaaAP{fy5*~Zxzjq&8Lvg+*622Il_)s2pICNYn3_c{))_DlNqeS~606x0g$onYV
zuf9_42j3s|9#Dey)AQurVgBpB^186jlhA+%unEPRkQ1=dUVX~ja9vH(?0Hyla*zHE
zc&l)orU@LEJXmuXUYKyO_JfD>e!eq>=d<04eBiT9Z$!_)l`fNZf$-3%%c)cFdHbb`
zCvc^aQoS}jYh-dW92VB2nbm}aoi5df!fpbMHp;NKXN^+~T>mfd=@EG3$K-<uc+I^3
z7a#0nr6~3SzLD{Qg%?iksr(uQ|D?~Z9x5Z_=>ufQ{`p=RfBqSkkw|_*_RoJy%FZ5m
za<i<s6THKgx~d<3tz!J>4lGJnb*LS7sNn6s4l`~2$<PV&_v-Aw2HW0A_4x?v>}PSc
zhIdvrU1)~Szql!80pBlI)hUMQcvT-7!@Z9!cuV1eS8V;K;7z8-{>H+h+ZIKS!_*9B
zZ7<-bdv5e;!mVE#i=V)*?+rxB^?S)Y6dnj0d=B>@*Uup|bc+w1apGRPEX=$ke$<zg
zAKmOB1&2w~wcLfx+~(UzeW90NNVx~^icbn9_3_BPly@BPCV?mw9ymef^&lHuFMM-}
z4OTwCUF26O`ootElDT0!etLtSaHDO`>Rz}iuc&qm=52VAPU`O$^MYSrV7kTcRHXji
zJ$2c-4_>`nkwfaQ-+;xF9{6eVp3P)`E{HQwwZdFCXFf>6R#CK~&9LRX_Kt(_9i6<F
z)o|nomQqrm9mD>stAvBC9CpdURVl_t3gK%ya@FK~l(*{G<ii#Z#&0RWtS8d+U&Gw{
zQh3zh?f4h4WLUw>@Te%<=K9u503MiW2;qgJYV&1;U~}zlnjG-ntLq-CC8Ylu_-rTa
z*!ItO9Tq!J{c=0}nEFTIS2#T<XqL1WhTNl}<M5WpHk<yS{qfut`aT-w+EJ3b4nNzS
zI1~jla^WA6;k?(Q^**HhH4%o5SijhKcGepXH|%C1<qz0>GPnx!Fmu$9?Nf&iI$we9
zic@!Qf<HZZFmn;U5IfPh6|M?@#A*)D)lj+6!S6oTQ0c-e*AELbz)7J^q9@><rPDpz
zV7~foEDA7<t>+_Vm`RXP=`bv-_gtE^UwbtSM1<j3|H@HPADHw`8wkQ0cDnMU{VMfe
zsNDlg)HzI&`Y?8D{ud|w*78vlCme7@s(%YS;}>^~4=!puK(!hE=K1zF7d+x~WBN}q
zzBk>fP85Q<YVCF{!M_`O4fsiUn{>)=Fs1hw3Q~XQ^<N2(!7K8MS;8<!{}@v{>{qgA
zDgi%o=u`LvGj-5y+Yhgeu?v;KQd}DfrC~4r?Rq6}9@ES6190%p={K+7%by<GllsKi
zFx-;>ho;BxA>|Vl_f`eN>jxiwB=zZ7-1Z-VaOc%%7g8U^S5I_5gtryn5hnNNGM)VT
zeR%KXT?a_{?PuA{En#`#@j+F1sAr?^MYvCB^|3OXC9Qf(51!1eK1}ZSOv`;SC*eYx
z%STCh>iu-cOu%v~{$JYgj<y+IN!YGl;e`gACbplR2Y!n`VI}SN)cu{ZTx9v<2m@07
zboF#3HB4WnL}36Y`?r;Dg#C1lvQEO|W843mFT(Rt|L^&;@SQU=ZL_e%QoN-;T+PuS
z*#l=>k!3J~?KY&Dbis#<49d>Hk|tk|Rl_`ghp(B!yMI<(uY`AK`8yiIY!Wdosc`L|
zEj;Eh|Dn4}DX`0zd?E7u2;?|v_>`=_@jw@8FY})Xxjlxrdg^*#fO$7r*tx(L?TZgy
zf}ig{9C{Bv%X!?Nw6}HJyJ>I0>!R;uNqbz$nts3@o-=R#W((8o|HfekTgXd<-GEI-
zKd7FEFI5(Qw}%~A&*q<k<;vNf-Gy~B`A78OYR6YIw_z>S%ClPV-|&^^58#aaz=s+z
z(`~QcE^uU~*uoJwC%-Gf6ZYM-#GweARhj;EhtC;@2TQ@`JC;rd!%V}wM-ITE(@yE+
zd6;5Wd{zh!`CV!h2|GW&|4;y?SXasphZpTQ7k0ya!X9SNVN2&84o-N+jN(0c9#-Z%
z1@DAaGZZZo;nvp@`3x}4_JV?Vm`$^7KONldI(I1*u3+&!O9P+WdaX1Cp4%n-ajg*X
znE01hvtXs#{`r4!lM!2027FfFf$ajE$f$Ya9eg5hU+^3pv{+J?3v1qKrk;X-wN2bE
zgujhD@1KBQelcyzhnuK(zZ!-gfAMfGhuMs38VBJ`dlo;H!o%H{k9NWyM|Zi_!h@UX
zZQJ3-*FIg<@RP~xp$2&9SAu5~tcd>wtcU-4F!ndX&GLU-%HZUmLcZ;=?18An5;!(J
zV)zrB)hy5U9{zgx_2XXnQ(}+uTey&)X{;L-OSu33KRBtID|i^*X1Hr86}~X-KQRbv
zzb`ly56@JFgnxy<AJ=z@gTts-evFdxTNY;`;O6z!XW!vl9)7IhFzdySniH_=sdg$a
zxP!m;_b>R#9V<}}SaSQ?$`mYr-Qe+M*!<Yf*K=?m&6ivoI3_KW`UhP5=Z3!;tiE<D
zcOD*Wr^r!(Wz*m1Ps8`Crx=Cdgj)eNi?9HT(_ulFDR;4W0roo2@n#Qf@uKF+KbR&k
zshbnNzZ}iB3}3zeqhbr(H!5_CHWcHfmH#l%!a*rd8>r##q*$Nz0>mHIbnkA5|2gl@
zT7~aV=QeMJ3zRDOe#4J!9bA~;+TTjY=V34Jwl+rCi2ZB%6nsNTc^?mKVAi!`9L^Dc
z?#Tte%((w(2#&gb@_-N=BtMfe0PhG$^$~#crXqMd;L?v2Bhv8Wp<6dw;mG2%a#Ha1
z4;&M<uw~i5F?rZzk2ie{>^`Wca2RGW6!R{IX;Om2wcvj%zuWWS_^8i6G~nCjaa!51
z*#(zpy6~MBYYtiP#l0+=$Kj1d`sZK3HaV#ar{JZeOwU;OO1oO39!!-%X&(UB9&FJy
zgeO$aNBF@-*&Hcn;k=nmTixOMtd#U?@M<K5hYP$eYkkHZw(&c?)eG*3{GJ;QbJD+R
zb%q6vc5exT9hpuay9xg{=e6TM*so=#@G7h-k$EW<e$$X3VFlZ#&^LaAr@p?pat6-g
zr*xcv3qrmvn8MN7GWXVDQ;`i<4B?3aNgm2D?C)lc1#?(5*;<elwxd(DHGv-;zTV0P
z$L)5Vw}cD5VmlAO8$ER|o58%V-aI@AH#Iz+vw?rVqIr53e(1}ucNS*6**SI_uCV%9
zeFA>Ma9`0IKKuICPHouWty-8ToRy{EcNA{04p9z(x0U?OQi8LkjUxTvGyGNjvhe;b
z397-c5VPxXY4`~3rRYHT;(%twKDdhVzhjZ`e;E{$A~4my>(9gCmW~E99ynYpL+d#l
z?&Ips1=GY|e;EU(Y}a04fmZ{*o%sZ}&9>2Pfy*|Aq_@D6F$u04;P#UxhTU*?<e_8=
zcy8fRRwq0XPsjNuAMp*#K$Ah(()GE@BK%B7Hm4sxKY8uLPq@F%$ZQn8{d#TaJFKId
zvgI?p;Zs~gAABRTJZ~JHR@gt=15-WQZaoIKoNO7Wh4)r-G5ml7E}2l(z#<;Z%%r@v
z(nqUwn2(RMd>Y>0dNv>pK45zF<~LZO*|NtKUam3ULzdsZHof)$&PmvEn{2P)e6izg
zcrB2<p8THqoW#kyaF9Wi^8lP@dNAfV{Pg<!<_`E9L!9GD__m_heR96G=u4R^!pk0d
zt@ZFV@0deM@Gpjr2Q@I8yBPm|_^;c)PbF}kbl{peeBfK9P%(U`_N=2ITp>7p|K0zc
zdqNm~D&{Ma19vbgA7X`5qw*f6!JMIyjO?(enc2P+m^p@PjTUa53vr8s(_?OSZ-&S3
z9@`%aYnlJ4SpI-`w~U)d7%V%Y7P|spALa2O_2=LQ-_;SaoX5J~2ey@K?iz(-_DlPD
z!7XveE85_?i2H;0VTZF%Vme^Q!&jtSVE#Qi3?E^|+qu5CU=1#xsU}!=>6wfJT+qGV
zSp>(MO!!}hPaDf*mB6vF{c_gu<L3XOGvK=-;!jNBlurY<vS2w8ad~4nV}tI67o_}%
zPoM#8@W@&2CH(f`lW%(P*ujIDk#Gg=#9=L%bAyr3Gg#-r+Jri6<yn2x7alucrg#KC
z*#1q&A3jcNAEp3*Pl+jaha;Z0PDsJ0R6j&}!jwn9DM`Y0BX&Dnh@-W_MB$b?&&m6+
zouJisVVFun=7J;4f2v-I2TrrplDh-@7EVNP!7s!AW?X~Kq~0kpz^$)$n%{tfng=52
z;gH^n&dcyS4z=$z@a}@T%qwtvkb?>}obmP!p9Ng`rZ-{@?bnyjcULXpMv5)d|6rvg
zzFQ`+-~4Tr-!Rv1?&GHL#ir4jS@=NnUD@NL{NyS1DY&!d`i_(EIrrvy(q3+su2@lk
z?P^suhheA8+>Rr#A7|rYKiu0(RVD^&JXY7~fY~~JMTx^3r}_0;V5Xoi%gnIs(CegH
z_@r`O8w))4?)d2{_!&Jz2{l~O(($?o&QqR^poJw3_fZtWaSCBuDd1VP_os7VpM3kT
zlrTl01JxV2w>PJCCJ+79r1f*J;Sb%usdMm>jYU>6Ecj1o?-Z=5H%}D@cd7qf`VL!d
zt;&gkb@OCL`(Vqx#x&%4vgS@zGyspW)tQCBv@I_sI^d4=3%UMq(AP_wyWk`-4GSMw
z<8|EcDp*5t?7b^ItaP!t1`ZbNvAz#emWAiPgGbGs3moCh9{rF!xKO%)-wN*6mKCvp
z`<^Yf+QIX?J@w7u3;V^ytzm;RU4lp8fVakdS7GTZ+`0<zq)@D!4Sa|720uG&`l(=)
zJU<2O3y-tHclc>kF2Vd^G`x%N@jRZ{_47I$w@+Vt0WJ+1OuYzOXZ0^;!CUT4tQo;<
z<pC|(aME1orZe!!C7A<J@I&KC;}fvafzPzjuxXg`W^K55_RqX8e2L%af(raj{`p6L
z7}Fc(DZ`Bigj77>>T<rVhv4O!T6QmZy}i#;7T*0xKgb1c+`RNb9Da29$K?lb)nfLJ
z{qXx)$00|u{-YlSd*D&)=YdXeT|yS)Zur48?<NO0XnyadHT2ikOH?l1g^&H1Eg}86
z`t0g~>+p#TLEE43?(IcSZo<@El;xy9dWAxf>I(d$cK5C^Sm#l8za6}wJ6Qc0o)3Lf
zV+<?Xt+A8-v0u#IxbtNFjE06zc-4l(Uk5Ijo!Q$=)}QgRI03)P`XE>j+w5Mhkc786
zj^8K!`%%;LG18>`ry8#!nBJygg#&J4Uh91ee>4^B*bQd|E&64{Q}0+xx5C_O2Zzb~
ziL1DM<aT)PLAk(W_=);?kJWd$KkDv{k@z0P(M;oY_}jaHF!KIG%N(UX4YS^9n+%1m
zLdJH_z+)V<&q(~wmama^7{0Sf@s}_Bo|kdtGb}!@ui*n5Q+l24fv2+KVqIa*6E*w$
z;BR;G7s&e_^>3M1pWqg1I&BgURC(ffza6Ga5lnD|Z?2EdHo&}_?=4-01;;oWKEjcn
zvAT9}GFO076&&<DSobu%XPKj}9=^$KwR8ri;(TM!2G<;4jz0$f%U#>h1@BF%(IWAH
zK#H&@Lof%s?gEKV2>Nv>eu4Y7Sz-^vR_j;lreOOQ%`v>NbN3rPa{S>AI~KU%MM~D1
zarj}{3(X&hCk=$`%UpoFOqO3x!4~yTcz?iWWvq1i;fXKT+ke5bEVYTf@FTWnO|pJm
z#OfdNeL#6Fk82W6(zDhl-v`dDGe?l~*?+5Jr3@}~8c-jDO-<EKlkXMF_v8xuVJXT7
zspNY`(st(1LAbSYmhwGp)n`xJ32VylJC_N^6>5AY$G_Z_l$8#T>c^jHhFN&NY)pdR
zxH^ip!d(&Orit*q&mR+N;pgvO<dE+-J;pK4<ox!xCtF6rXOC%Fe}Gdtr#=M18&nw;
z3*dpG!yg~P!}8l!AHfs8LENrzU2s!}FU+8HPShDLp{<m%hm8W>x!r_YcRkp818#CU
z)$0HUYc{!GhUH}#y)MGE%u*6p;ZlPS0~cUk4Uc3?xOPwHfF>+Zdtb~JwqNJ-(uQ;A
z4}2iodv>OD|2Ej-^Cw3)_<^9m&lXt6f@SJ1oU+<GKn0g^J}bWm>%2~t-T+(L4$6@A
zMVxg$lka)SPussb!k<s^9-4&*`<YG1{=C$^{d5w3bIkwXb$IgzgYj`V#jG*K8qQe$
z8e9%r^|lR=<+hQ3<SJq6x8aw_@4NX%%7w#bmA<z;V5Qlp;80k0U-<;tpG`so-vVHx
z;Z0>O@D<xHO8zkIPDSZku$`k|xCcDT_+aa8*x~8HX*bxLA=jPkU-q?os${&vA+u>i
z^85PcezAAqbV1%`vVWaB+h*-yv2vrNOR&wp)x@iC%fqt3v+(oHI?Gltd(5njA?$I$
z#(<2E&<W%n(1kaRzDqHI?f&TI>cc@+?73%QpM}qia`3*Wo3y&H`!1TPL$K1V=!+*{
zs|M){60n%d!h3c2$f0vGl5h`)YlSlW%yB534eot4!g2^Uk6pgX0Y5zdW<(U;;ia{!
z`z`vHyY|WQ!L+xGfA+wNUhgKk;7e(*yKCVamt~aL;A@<3Gwb1@AvPT*IAfZ3`x|(C
z>FI9{*uIZlHWQA$+jo*3)?-pmPlCNaXfJcaOP?h>6X7Y#FaxsvH}{ORW8j!v+Z1uQ
z>bp#AB<v}bNwFW+%rIpLgiosO{7)LrH_$lz1aA7CUqSXiu~~H42<{!Z%u4n@=9*%w
z3EUWL%(oY2ew`w&0&CDRI<vsW6uH!DaI|UpKC=IX0*f;T;VWwoJhsA08~)Ww!NW)U
z`!~arBAkl*;NS0`Nl?Kdr*<>#hgI8F{3&5g4Fx}bIDw<+GZ`PWyI9U#5U$<Md-xCB
z<8roh4;=W#N}i0@quzYbm=8`d>JB60mpCa-v~a+l=Z-~^@pM;O!g~bZ*8Wn(T=;aD
ztED*Hen)VUjHjDw;bV}5-CJV<li<t6^s(}=dbG|rGCuC3{r)9#ykneiACvKIc5Iv;
zI&iMeKiPXQb5OXrF6@zbVaOR)vG6K52aAQbN|EuK%Kkdc7hv58=cmT-#$Y4=v+xe<
zU1J9Ds|JdThVZIlwW2=!I(AzZ*`6)c`ovLKrTnDlDcE@PdlhB4KFsKkHoTqkbd((2
z=sMqg94;NEpOb+j_N=Os>mmDJmWDXoayEqh7#x4mAzlm~EsG9Rgg;X<F7d-g$3$(E
z;Pt?6JwEuo%fWsbc=INgWKP)bWJ$Ih+;c^pf&*sJtr9o@=f0gfvlFJb*IAVy<+J_i
zcEFUer^mVA1%BxZv~aLeS1}K4&@sZe2^JL_NMV4FI|g4~#du${(}oXs!hs#yoPXie
z4JMa2z)^AQH|AjXj88{4!alp4C8yv3t|p(}Ts)s*-wu-T#naZt+1>DUpL6Qp;YSt*
z-tXXYNzY$o{o7xMGIL>Can;qIu>3&RwrF_Xi~H0!*!G{sSPaY&I$bafx2j2fxCbwn
z_Us_zqhrpzc<KUQ|Jz*E0sB}5IbDHy4NBOXV9Di$lUHGL#q#EQ_-oxLCW63xbEWV2
z$arkm5fyq<Sf{DzVHvDEEa!C^&gRSQAmhJH)I*KW!ck}XzvRLr7aZ~x;C8V-IWoT7
z%B?E!2w5&d_473x6OwvQ4E|4yMl~Mhmi?nE4%f~Z>Bqtvry4Su;e<OjDPi!597b;z
zxU=&=lVJFa!_0MR*wd>x+Yi2ZN>ZH`&K@{i<^@~c_?tMLgZReQGrP!melB`h=NY(X
zdXmoxe!T5ZPZvD<VylY-JZHT>s|QYwRO=-91wX4<_*&siPFvASFy&RPzn|b23S+~T
z@J2(nu`>Afk8LvNVFM5Kf(o+!PW>Q~PjP<xKJfzBG3x#|1Ng$DQ=5uli-;;^eRyF|
z&N&wro|%mx`5l>wCVKDS)~X}38gP4!Qgu2UK7UO^8P@7Ejmd<6y(o=80#nv2??{H<
zC(JC#z>*@y-%?0<!MJouxJhz%YXp4gZ0Cl3@EJCV<S2NcO#doB{BJ|ny*u#V>d=ba
zFk@e#t`lrA-0+DN{@`~i(+u8i%`C(K_i`9}nZvI3o*witU7qyvIasryrH2Nlh?H$H
zf_eW_k)(#(R~gjwVHsu0Lp{j1X}VgYaUTA{qism?c|MesZWM+e=qF~9e4ozJmwh5I
zJG~qo$p^Cka8s8D9%T%@K=Os|(&+N@!NV)@eD7e(EVFCN*@$<EZgt6kWdtQvS76Gg
z?)`yqzRI<G7vZZa0tZQcl=Xk&x|Xp0mBY{7;pY!kd5*$#=Dx@L;D*Cq$CY5q&J*!I
z@Ts4g<udTW-x1nmd%OG}eV2ll-|eM%42LN1=;VdN(#%syeigTm&N?@|X_0qh2+R<$
z!;uaC!epND3|7w3e8B?$av!sZfc>|$`%uGgZnJKE0Y4s~&DjX69*QlGhNU?}W9HxB
z_bBVGB)|-jHPy55muBDUmvGo{z~M=Fwmj?lYnW5M$Z8z!$-iEo3^$Fq_YT1--9a}q
zVah#ORD-a{-xE#g@E4xjP95;?qjq;lzE-7DTtXXMm>&Nq3;rrNOOX#-I_8S!!DD%B
zqIvM*xY*ZRSb;Z*DH-ncl6^|@yM#;|kGz8S>t?HdfXg$_3WdUF%5#2{!Y@Od4T9my
z;OiPCFoTtHtuOrjgR0^Wc+$L~@&R1B`Df%5oc=IO?l!EUH>f-Zw?BJfaSJwT@`{;(
ztC(%OufVp74r+hkA_fOaTeALF=D0<;`}^TL=CFy|KaDjwx$ekIGx+bRmkIyipA?&!
z&%y$19y%LQUn5I4E1f3gSqgWM<$ql%e1u`@T>pHM5B5-%GFuR4%yX|N+xypNM!y|a
z3aGDS#`0%1dQWKKYEuzg7P#(@7b^oyRgzgC0Kd9tb9EbRd|<1DENqsmHDCdk-T2u{
z?&r$|`=~F%FIUG4NPZXRptM#P{IjUvQV;G?-Ek`f=Cre<Bkc*N)Zw*gczMk*#|UPd
zq!)Sy@AtX2O4_6Uew!ajgLBlbCtJb(;u4o%!xeidkK4d)I)?La;N~~03nc$)yq$M<
z7946G9&Hc5FVuQXt~XC@sOnvqB4kI~JNV`C1CylvG*Xu~ErGLr4urVD9kxr4ir}AL
zKFNB(*%R!H)v$$ohaYLLL%#-Fm&4y(_KlHzD3@jXz7Me9H6EEb*kQa!jBH;asD6s%
zJ3X9_U?KJC+w;QEL^zpC<7fiR$7Z4V5~kd_NtDzlT{EfZEV!um{KF^k=YyUL8SsW`
zg?TU7q15L2J6I-sl+zQ=D9v3W&!_64%3x>sW4gUoCH&2h=Ib4}+%qq+9Nyb7VRRjq
zsIvJ@@{Q7^_hgXz_UlHfZVMdKOu<90-^BB`F~8yJiRxKHxQTb-_dJ}xDcwd7zDa#s
zg9`nH+g~#BkHhCI6XPji5y9~NYH->SD{VU1Zv%s&3QYZ}WR3JMbO(ozO2CuucT={(
z`j$p^;&8$%iua^H@_Tf912b&Wm0?EuE6hWW=6AwtoSS!&@(r1%2RFd>d|8D|aKxzw
zYDzez^Kb(_OsD?PdOQpH17;mJNj}kE)48W#;gc~Nnwa74#U83b*h}SdnJPRYr}pm?
zymBnwk@Vl5N3(q^gJq5j?AC<C-#gNm!rp0SpVVN}HLc|gxZJz{-f@_xI)Nu0c8XtY
z*M?JrpF}3Y=TffUC;i8|L!)K!u<|dTE<O0ERkQRnxOVT#LqmAeG}nbl_**DrFUdFB
za(8RTQ+O}0QQI|`e|=il4|ZU`yzeS}_1-|08!Ve3`M?EM^Sj9M06u*~v77XFwM6wE
zJHqa9&s|BrNa)Ka?{2~i(Mi3o@Zih)B3EFKWjdD^utLDe77KWlm%1|+Haw=RW(*7Q
zs^2Mu+dI1^4B(Ob(yjS$uTG<>Hq0#W(5W02{5}3i6V^+=+D7teuGJ5$D8WbF-Z+zd
z8<o?Gd`Dm@4i{gNukkyz!;=p_awGRZ1AII6M>-EY@b^|!C46Rku^R>4_wczg$;Y5O
z-jTYNiS~^CX*9{_@#U%8vj}f2$x-<Pw;vtQSb%l!dg^_Ix4+0s?t|lB$Np)Dw;aTS
z93BgOY(VlkOs9+0T49lymw$WV-<D0+nqel|z|$mO!}VeLmugswBmej>_~OSt(=zx$
z-izd)uv$-RTOJ%5nZEcBwykL4dkf#&`b2L9W?QUz_8+|C($ha1@V+!=SYD9|m(X4_
zAn#ADQy*mG;WW0hbL4%^>B+<XXYllQq2qgCi#{j4V7RDeTdWwI(W0L41n$1k|C_x3
zIj9|F@rGMo=BmrXkHsi#-QhOA`*Gxbm%riPpc5=9xJ}6rZXP@7egjq<sE;D=*Io)I
z7cawCs8f{9VD);oy_etz6Bnb;!-rhi!pz`B28Jm+INUM$t1&FvRHJ$YzGjeOYydld
zjQV~9W-PqysR!4;J+AHm3oY6H(SY|4v;8FTg4Clz+{fUUg~nrd;I)3?2t}AvJ8YWd
z6PVI|Es=*a9;<2IhksFwOG?5gw$aXzd;)3uxbqUQYFoouQhxkv(gAun$isEb3*IVe
zYP1cOr#)f)5cardF7`bG?Zd>}R+3NQyNTuOB>a-@d>M&%+{$B7?t!OTi&$M?!Ke!?
zeQ?&|otq@yq5sJ2@h7+}sJDR}U+%kj%Xau+KolQ2zSiq;Jq_@k1lJ*wKXRz&&DIXs
zt4vQ$6CRXKb8m#N%w0Vy0T<HlrXkylPZ9i0uII@*y4g~=p4R__0K7R}pspM?|8q5k
zyw3~9b13G+&BKz0%&_$y&F@8U?$Vx|o$xA?y!l&r!$Z%_<o(?%Q(N{u9Mx@ALJK?8
zh;b*usb0;yNPRo_RrXIZtXEUzu#WoaOD%Nm1zf2f%{>E;FYo6_fMd=-uO<0E(RRwo
zX|S8m2CgaiNc)io>99s4RSn4>Vo21ZeFtZATkRQx-GAr|li#-pv8?(E-()wtLXPhQ
zQz<9O_xn%%>``)jU$ToT$ov0?PnSQ|!#lTMxKG*>*-cy4+u*5Zj}E+tyAuW{NcnWT
z0bi0I#vf5!S_$v()1D>yi-L*9q46+J{&-XtoZI=JC=Om3F{dQ?cyR_SK@Z>~v(vBN
zz(*?&<-5Sz9XA=$;MuH}$42nn&N<rzIFK#P(gc=xqq-*!uKwe2LL2_DtL{!D+%vAu
zcO1TYUO+Sqe)EWKyFA=BndSKyR$J*AQ-J$=*yTt*UairyW>I+Wlhh#6{!X5<OcI07
z@pG$_{65Z`T!EbM0TYeI>u|4Mk^&d3PXAbswD)_zx@WV%a*AB3)-caUMPD}fLbWZG
z6`VfDy1D}nt64W8@rz8M)^<j?7V|!l_=O95n&xI$W$EkoQ}DyM^Lw|#E`o<_N&F(@
zymS~9e6*#lTni3AFnVPZ?A$KGNuGC09}0&5rQ`Z(nKzO6g*gk|6ACOBzFj6L3m3)@
zQU1YlCDrq8Bz_^V&$VY6-d8Coy^r{+V8sNi`l0R#iC1XfuZWt0xuofz?}epI4lT99
zqUu&^g7BZ@ms~BdSxxH;ez<@1W_S(!bOZM>F<6hGyQB*CA6oh=3`h67yv~JB%_}8H
zz}wyqe#(Y<Pp17N`{Q`@&9PK?PvFl)vcIt_+Z|Hi<Xvaiq~V2cBV#Y%ZqKkJMYzX9
zar<+aU2bJv9%lQv!!rzi^hqj(^bd-(Y|}&F$2rd^Rp1{p3f%s%v{UnIa{l!7LbQEh
zMy3eUW3ceALsEBP-<*n#C*haNk4<mG597{W*MPsA>N{`>t~x1Os{~8%dC{DK1y)_V
z4#O9$maOIBD+0FSlCa)vw1Og>MmOk3jyKNcO12an`S4j7I~=AaFMSvmA7K5(3csDB
zNt1vh{@b9*0JG^vyGg=%1CJ8uN%=bK-y*P;>&+D!Sjus}aUV?UwQ`0UX3j5G=7ZOl
zCo<R2-&@K(#v%Zp6QQ<RfthW4D45~!(MjeX@GZ~&3|2Va!rg(yf80b8cy_=-JZc?{
zu!;Gd`z)~AnYeo-9<z5ShlUIOIqTb24O7hR8RCX}^}pP$g(I3wY{~w0ve&kjlJb>R
zN@V}^Quf>-{ny9;C>zP~v)r;jNcz)^{5^lk`C0K1dh!fzT#c}ohG{dN&N#!d+0}Il
z@NnQ+9Wp<{&A)DnWPSNdgJ&#Ymt?uJL$F8Hn>Xh0OQBgQa{kJld#@gbbyPlClJgt3
zTv96sr`mb<kmctZq}#Y*$^ZI{W#PXW8;)?m3pvll$oW}%#`l#6Rypl^ZYP{`gjJc8
zr)rn`xEa27PI_Djt~<lENDJ@0$NrqeFPswHhnN0C|H@8WO$=^owV_*tsVBJNMB$=1
zmWMy#c4~=ZBpwoyxt#JHUhQG{Ck{u)ngsX3&bF%=T(I=5AjKh=Hh+<JFDxRfl+y{n
znEg^fPu3r_FzbbpM#Q|GEPqAc-U|PV?7vRp9SrU4sco>r$VfeTpFCw<v%3MlcD=6S
zC*Bw9g`4AA;0%dAaq_-f_WKS~Ev&P-&36oTTX2}Fga7HUM-Ri<_iQw?V6!;(c{0Dr
zvb6D@Y`B-^(8(^irD8qgHOwh4pF-j(vCY$$)8OJ$f3K5x$}2;zH?Hu_fN^HBJnoQm
z-vgL$cKeNw@LQFhlegi;GfONTu)wA%r&}<!|5f1@`07$yml3SE_o+uM%+ptrZUTSz
zC>$j5nT;~$+^67w--l$#`~2z48cV0)+dK>*MeyIial7NN<pr7VB)%}t&~Wr5oOt=#
zF%my8*kt=&9d6_t(vO8hD;H&TV8=MF3=;oXn+Zu*fsMV7QIq(}QB^AsHMq3z$;DvU
zNnw3a9*zuqS3u%77l#@@D#CAyD0h)~k6ohmQEAv!ThyM+m-8=7j71jKRKMTw5FX{P
z3D^(&_<g!>4}U4slsyQaNE7L~23MUP{!bV#KDrpL0qZ<7?IFwkJuc3w!?~Tmj*Gy8
zd$JN`;G$P@f5hPLUOekku<}^lRet!$C2d17xH!c|MG*cPly^l4KJUx;avRJvJzmKL
zuh6C4rYB~*`-ByqAG9eNOGEq3AtObWAJ%OD_63$6(M@23W&PJbl)>sO6k23{B+&zQ
zqb2YG557Eh_{Znacd_vCAJwKjuy4iMa5NlyLpPsn@A!Ydr$b;t9v|uh@OQ1#sZU{X
z)s6p2z_BfLQjze6$6YTp;hC7e++cWffqFKXPiaGs2ZIy*SG?n#4qTPeBYy|(Zm!=>
z$_LHQ@ma&S_UgUUg#)i0)3t>2nAEQxhYOyY%NfA*%9V_#;Xmcs7J6`1KwiBb?9$b!
zqXa*oR_4`$)41+&AB8_GDEE=`Z?PD-`2c(|qFM3?oL?*ZSpr@c7??Ut%A4ubbHP!+
zuB%DHvUxvW@WAd`D{<ub{;=NJ$qsM%7Pu@7JD2aA<bWv{xzCX6BmOJebSLcUk(Wu%
zR~ow8%<w(86Px$KXGii=w!-sOUoBbS7U7c*w!=Td+)A0@Tff?7H^G(}>}=cN?>-i_
zH1IJ8lU6dnRlkz$o5fVTpE^W&u3$bazNmX9f8ibPj}9-xW#xZcW?>0)*N`dr$@gXF
z-|(-71Je_*8|%GaKj4_Rtr}!Lt!BEps%cnp_EF+6+_1sn&^MSOOK7zl7El}8J^|BH
ziS{?Z7H>*&65;xc>+Wr^##_C?c-TC6Nv;LX&q7)+?8PEE+y!TucFa75(;XKNcfzcm
zC#@gB)n*nxWAK{-%K{HrFC|Iz8@xz0p&kGi$}>9shVN|q5$yweov3S{huzQE(!0X3
z)XVqC@$+bYJM;j)p_b7}j^F>MWu_xMAlmCfiSw0KKG<^;t_Tn4UdM9VDw7je;H+)R
zy9BWOx8@`6i*SnJ=nX!&sgWka5IzvU&aw|aUt?Ex7Pj)75D|nI`DS)2!W5ESUgUZj
zwEE2-f&G0Yb;<QKZrFI32@aK){=Emjvf18>5uS_)PUnE<Q|(Sr!rlA<2E4F#So_`e
z*NAs^f1@MyrIMx9d>WQj>B%C$cOhLm;0OGQ+ItJx-%{qc>!WaP!TEF2un@=X)1To!
z!;QJ5zWSvt)OEubuePkIz@kYhyE|Zmu^YxmVSi(xkVaU!`zhCRxS^Bd$vc=%k*WFx
zoS7HQS^{?$l#P-2Dcy?hcq&XGa@B7EE@>^gnFBM;Pur2_ug!?z^%VF|-VGk|{Ch3s
zdoBXzJRwj=;+I-??A*g(hrI8-<oR5hA~Ea?M|Xv}3d8iKJL&GhEqYyjg7C+;X%8IW
zpcl?=<ax__+%M%i{9e7FpFFQ+D7iUpV8#j~cWKze`JcKK>^#{edl06P+9!SrR#&+`
zc!-oY++?H=ua!@QlJ6a!zok@^VeO@Rhe-T1v}()MBd}@9?_Z=plAtbsMhreQaz9)J
zjwz*g6@@F0+}of4i}zpEr-PaOW>Zw*=3r$P8aOcM50fHX%o=^-YYO&%r$vDp{BO&(
zyQA>x&vA#NFzY~+c^f=<LTeZKexvPd>)#5O3kKXE-*2Y;*4Jub-}mFYbYc0;O+qzr
zP_f|66R_A_%jd<gs*5Yj892UIthNxoomG7E6g-hwC7%oLirv9#0zaGxu+D~^R*&Bz
z@m}^FynU}>w|C>km*L?%DPl?R{<%GDm*Dg&rG!{Gs@SH4e9s#F_OCG-ek2&nb`9Pb
z60RHqPjL^IkomG~BXq9>!5sOF?6=_I7ZXE1aKYmzRvxgGx4}U#_`-T&DT()PefuNX
z1%BQ$Z{-WiMZ~t=gCm@{${xW7cx2UYz`bs#te?VR-$t+7!=fi2mOX|?TON+u!1uh<
zt;zR2pF2X^tYHzi&ax0#sJPPoJna2#%{m(1aqP-}#&G|;lbn&TB~N^q7VNuhU;YAi
zJgZ)!0dr_D?T>;h1+#<r;fgAOb`oE%iaK4u3o~%H(U5rbmb7>6UCDTV^cb`t-w$Pl
zx1{yJKVP=AkmD8Qx_JLRY*hbE#07Q;&ocM`ukbW9S;GRSw;$1hzy8`RYzEuBImx60
zi@7PCI1T4^M76NM@$W-kABX$HTa(z}aNfoOQa>2tuTfFJ+ARXRl;J?`xL!)QTxwGj
zsh@*wnH4ih=s$0?5hC};-TuC)IXI0*e^>$@IX><_0&}mtKP&<#4{kFYg~ektXUY94
zP0w<)4fe@pJ3;Pe0U<e-4meyl;Q~8sc%#g*05(z++eq$zublW7AK=O!$-+JGmN&^h
zDX>=h`wL`ynz7#5NwD6iTp=HPR)tpJIXv?1{RQ%Uac0MuZVVi^KYtf#4_^K^Dd!Jw
zVGu7o02}aETKK|c=SsXtfBx`?6RD<fEI*GhS<WLX*lq&PQz}G~^$#8qO*#bsw>4Ov
z9B=e8Rf{a_epO`?S-#iFlX)9_%+foRtp7poywVo9XkDa;^#3gm^~TP=LVN0EVNUx0
z&DY-4{DPwjrVGjTu3Qk8ABQ;|xXnrXVsMAb`YSB7tNNxCtiIQ+q7jxf{;`W(59&07
zANBB#0A6o$JsfW9l%&9)w<-ve_M%W>_e2t$I{F}zv`_mT7z;dMr$irl(mri+936Fs
zYrI$^$@Wa|n;YJPm(+L~E#PzOM}!^VksYrDF2XiGrOz+H?{huhyTUGC!_>^-qlL>1
z58(tp*8Fqux%pnBCvXwPwXLUNjvnoI0dSP{teXz(Xf16N3hPuxq-nttPOsjQ`Y-Iw
zvG*t}F5_?b41Qc)tf>S~-C4>d_m|z6O0f(aV%>9&+&``~U%pAfdL62{&*6)nmrVA-
zDf4^JCBggrsJumB`yjs@^1WuWh2JtaoGO;}wH~gRF{@{V_q?Y&S_emHO(^bww<~mw
zwZQZDuV2~@uL=6ae1u2uyX&ncVtnM&6G|O$oyjKW75D<vhx8^m<%aO_Uf6Jkg02Rx
zvQOaYhwVa3#K`{q75t)b0FJVk{FDwe_Bh$>hm&*CM^oURhZifEV2{1Ke6nEq3jseF
z;k#oY&&d3DtOhhX%L#~=e3?<mffJ{q9hcy-kYDqe@bipF({FJ44fV+PaM`So&lnt+
zS2_0<mT^v5>4%GJnf^cDoqD`9e;-Vv5IkFe<u4w+efA0d;&r3{6MSJ_Yu87ZigMkx
z9bV3@i|>HFGDB;=!1mMS3$3tF$U653EMKZ-TL&LX^0_<%%Poi(Rl)L?rYoo67gM<h
zir|hf`z|fQM{n~P7r>|6gDVzb|GL-B+3;Pn!|7WP&$w;=RXZK#G8@+02CwFrb-jg`
zM@~kP@iUv>aSD_2M^qB$NIYd_{?+r>u%9UPArZJ~=Jd=f*!IeqFd^9D%#c+q%&zY)
zdjO_alXw~pzbt7E*$?|~D%=nP?{VPhCGjPP%Cl#l!p23GQVMWP+DN@OEaKzUP2x+v
z_eADBVU7)r2T6Qsy!hQE7x>iLw@wmY(so!0x(8Ff7L_3JIVA?4O*i0Iohlu=aAR`)
zetVc9(_5Uxn-X80Nwk6aw?(y`fsJ;Df3$)PnR>-e!)#96N6*8bUwvyeftTA&uNcEa
zef;}K{4hRXYDk|rc7Mx7IH!S^Ru9gkyeeW2D-OT8uK^4Hwr{!wdr^)jslzS4{|VW^
z3pX9v72$@Av_=xobZ|;hm4}Zzj0uqMSJlU)KOBTV)(q9(f}O>!M-IT^A9nHIgx?y^
zpAmv(mABTB?^#I#T&@DJo4E?F6I_*<Ilmj;$u3#r3ja3k;pBw1Y%g(>`08(!OTjzg
ztEW#@dBb*{PYM{|ur}|#Ua%g^ZgDy|Azg+x241UmNuz?#7MNQ;gU$bJ-MbQx{*RS}
za~HgR((2L=*rS7cFZn(+*ZpyB0nSWovKohl_zTo#;Y)Hgbd&J4H(agDuwTwi-9PZA
zu7BK%aFF+{v_;q*6Ttq2OQqCKtih|pZl&Mh)7i)7*5QO5U$x2h-QVW-?Lz#%_`;*=
zX}J1Dtt%`1zJ6S9368D4TrCLihz(7cht<zS(39^&j<g2(8*x0YT6Q@H;TRvTFB{;m
zwN>%5aA=a87dc;_#=fqR@rQEmS55Z7j8}Z+<Y1xx!%SLm*1gE^1Mt?8>)*BE{dfOa
zD#89vF`pt~W$7(68t@-4^S|M6Vwz$)`To)QGtc`4eD%;tT|M}Nj#DPNU$P!}FX+RG
zuFZ#%V6nl-NF#V<zrRHye0HW?fs6;8790NgAMD9BF>FEB-yg9n4UXC%>}^H-XEHtq
zwx?1OBI8YGwPPFJz^}#{Z<6t-lypZ&%Hb?IL-psd{=1!>@8OP`w^J`*p(1nhQaDec
z;Yl)VarL)vF+B22RPr?}apWjd4SeFWN>>)#qV!3Dv_Bud+^Zq;5izu74GqFd&z{*9
z!CyiS(G0+jS{a8M;U0&)A3|tvm8<L{$#~s`a;Yj2_)zA6PaRClztKhw{*oU$Rt67z
zcU3$FQ*GVmUjgr2tExK*>*yJYHNbnWYt9~rhY$AbZh-^K8AEO0r15>_U2yPBV4)R!
zygSFH2Yyxd>DV<m?mXS*&v2Krw!Iyk#SxY@0yp*h|GfpzX{avFzzb2=bsXTU0$nj=
zyz&d_j4mfQIkw-M%m;K;epHu~*J?iUnFiMQn_P7TE=>;fq=)TwX?|XYXK7{!$$07e
zc8wR!;l&+_?#!^vD<OX~cyrFGG$WiRl6~t0ToiM(mkmC!V{5DqS-;nEf(iE9V)$1A
z_B<UMzzP4c$>t%?yRbbK(PaLiuGtm0U9gDAFU7sEeC4TB^1S;ynmfk<H!1gpP{9vc
zd%}6))e`YSO1O>l@C-LR%{MPjo_|b-jYEau@<-~1<oWkv--84`c;n;1_vHGD_6Mu)
zgL^GM50U5HjyI?O3c+f=HgyefzS70#2jJPQ?`FvJD)m|U(tcR;n3HuGywA8kS_XcV
zS^1;{9vc<>Ed_I{`)nZf@mQxwlmaXk+#*7rM~zQ?<_^PcUZHWM{?liBhpWILZ+mJ}
z;Y-n<e<{Ppo1QDg!@)m$L&*5`Hr8RQIJlfz^5-$QxF)eT0uEr>+GPs=TRCkI42w(^
zxsdVi&T~%&pTXOi6Uwi{dbGd9NcjtNCYQ+gd0h&Dd~*MCW}V#Z1ouqpj*$EJ$-Blg
zF0dF?;Zg?t!@25@2i)j5yq7#*yY`$^Bjfk2bu?ti{nSf!e4Nbh#Hem#RtUFMay3N4
zZNHwzPs2NCB(BB5_Q#Xzf539V`DU-+-Jue8)VN+fs%?}c-@q#KXy`^*>F~|@H*n&|
zTB$v-*7?wg53pPEr}Lb!L8-PcnSbeMtp1ub+^Xj&O6Ffmk~$+G1rKnk?k4jq4N<n#
zlKR)feY=e0Pm~#c{6*@Y#s!lcGJlfgs#35u+|Uw!W(dw;l+Cw<*PTN(M&azIuZ$nS
zOeS4ZBwyp4MYx9x{Cc!Mh~#s4DSg=H1-}X9k|OgV9kO~Q?E&wpl5tyt<21%~LgC3!
zH{Nx4eZJ{dFdS`}XukpZA;w|b{1afoQ*(@)Vbi+l?3ZwXHeLP}m{x3?Vk(@YmAX#m
zi@B>`@i+;dFt1DEgq8D#STf=4^~*m*VUHY-OKEVROi+jze4g$3Tn<coTcTG1zVcmM
zB@5<D2<9jAU+mU3H!Opx;=k2tzyrs5+)Cg-*G@6(z&h7-BU<45k25}y`6~kEwv;r%
z-#sSHNIs1S3%6DmEOSGB!+F^7XOBY%O#iU%B$+?L<N}4yS9m2rc+Lj?Q<RfA3U54=
zf8+|B{JpDc0S>j<`-RL8@n5Uwk2yGAkGhV`@8In|vR?rG=`hvDd?eo|_{<?1A$Yd%
zu+@E7yvVi00B(GdSw@!ckM52j?+<6XT9Y5be}{Q`ec&uZaVj#u#Did$Y(Kc}!>vg-
zc&Ay>d=V_tSEPOq78+&#SON!`PRfz>Ps|^@)&sxUmp0%H`!jThb-@Rd-Gu#M`HF98
z<o(M${8$socM7=V-A3NOIxO;Tg}`zh0jAUNAh#<^G%VJ@@BITFE?p=l`BO5KqC0-W
z#V1QHlKCSVG|FV>;S=d^GfDo{gQ40J8}U9UW#Va&2{WaiyS)Ma$i8uz%op)ti!lXx
zUvz)g5t|2(3x5@)gNucYRrBG`r@rMdz=}@$#>?Q>6<7P{Vea1dPb%Oa@2^_3!k3o(
zB^qGWJJXMM!P^(CZ??hqi=(PX;YVuj&1AWjpbe)g%vJtKuOGgB;gEk6ycGI);R`%_
zA}c!rHhi!za1!Re`gD-Ik4rEdk(`AWPpodtgD<8%cUyqZl~1tO!MDub^8JGcgbh?`
zV5S(Zo9l3d(P6`G*wkKO7Y*|9$~9lOcEZ8B?<_aNtx}%h-$;42E*di5L3G+k(HKn8
z$n|d*yu&-!bPbj{p#75M_r1y6;{6Y<eljgC0{fN)=*uBq(U~OHAp!UK_BqKAQ{37`
z<}a9ebY1)+{Phg)&4X}Y7B8(O93i>RDh12NYzwu6CG*l8_rb9#rFPd~)@m;fl3z$Y
zo4R-#R=z8GR{%aZV%TyQR&^Y#5{B<pihcEkZ|`Kg&klcP^^AB74`u)4;e`ENu5*XO
z{=d8*GQo4ZnEpn<J4+1t$?=(VuY1M8heUq3k@+DWo=q@~hX;j<1$V${j!!32VW&zR
zPcpxRSGQRCfAGOMb`f&^Zk}R4{uaJZB{uRG=ljOrldE~K(aVbcB;V1nQ+Q`RtWcxk
zPv*BcGFtk*0e)O_lYbT7{N@(RPx$NTdi_RhkItp<$anbjVw(ds*?vTI{X8r^c9EIv
zpI^4%>@0k3|4vH=xMIf&H5KAnK?*4}Z1CQkbNeab?pxlO<b3@6t&~p(PwR7>BJ)?6
zj7NT^f&a(ReaCbCJa7OfE2FYkM#-p@lo8n^vm{DJh3t$n63Q$ivJ#2x5=oK}k)0GF
zMaZhJtZbp8-|K#VJ|Fkqcc0sLpYiV_86vP@lI<^UxY~+qg2czQ3|dVN*km(xoGjd;
zKKX$kK46h9qYN7h%Pen&@At;`tH5t#xr2pafje(S$o>;`o6_62!3whV@5%lWfxdy}
zyI{}gzZ{nEfp<%Jq(5#)5~a;~c&B{HYgzb0cGgC+zBb15$EY+cQIY?Ytfx&?X}qKa
za|!QNkAyWgI&3D#pZupW9t9Vvs3$AKQ)1t5CBP{TmNkm7;HQ7mi7=;=yq+fP)|&a{
zKD;n;!d(MS)vpUA>y5n&cdzNe8SHi<xv-|Uim)!cL$25(AJ&(hk~fE+Z!_mEhS_fX
zu{4G4;zl-=!Jb=vC_P}A(tVCk;TyZ1dp%*TTNcdE;O=Zy+iURIm#i<!;g2o)QKY{#
zj*WM<2B!Pwp#BivY&3Yk8D87(;+O-kbeT@QgOvg|1-yWZkNO5oz$&hDyoK<Ijr)4W
zV37yHu@B&*tg}~VVTs4=W!Z4@BW2-v_(=YcS^+E`O!;;d-cIq}As?=oFuwQ)7JHkx
zPz(>==HZ~idi569YrLd?`OBMOQ$~1%-Lbt7o{M05LBd_ELi4`D0hXeVH^Qd|zv?W*
z`wKN`$$lIy*{edUu=t7WCmY~%PPI=c(Vy<xTD6hfFN?J|lnTDNeA$Gohi{s3Ol604
z3?hnu!GoHCUYu}`ZN?*VysKt6ha^0yolCU{JFrbn?}z`a)UK|;ojGbTda#Opl`&Z_
zpEqIba1;)%_01;7$JUQrI}1}Wxvo#a(q#*$EaB&GcONC+YrAKV^Cfs?*&yj3eANGR
zg$r!0P^L`YCsmYR^D-<z`!$>yK1ua0-W@)@&24xyEHNXv(FxXdzZ%L3i?*#vIKW?C
zF%7cA4BQGi=U`z)j_Z7IOE1T}Gw|lJ?0#PORj`rjNw_;YPjojNKE8g7jBn769|+h9
z-+!q@r2~hnNeYwwOA60y-mL`-y)U~e0k=mUO()|Wv?uU~R&W{H)+R-mWs|Hg*$-hP
z-Aq9m-afyzK?CNEn+zx4^G;MMpE~TOxo2GrZkUXyCHpTl6wU~X!sVqKd9`8DTFHC-
zu(8HmwE=u?^IXkV_=B=5*D?6L{{dMxcyPt=)k%2t>5K&n?AfW~LiT&8A9B~CfGHhC
zSjm16-(K%^T}S#5(#mi;4I2cyeOrPh7`?Yx!sZ%c42$qW<tVo~9Aq}-*bC<|7FSur
zC3mu7dtgU_96<}%H|?QqDZDw)vf(_uxYZ)6gdCsom5&@x+nY*B(*NA)JGG9mw}Qb=
zlK$m_n0d*57Pm}d?`Ohd_Vv|n@M@|`Lpm%_qsZk7vv38;C&6cErt+fT&8K<0V&KA5
z(+y<5mx$=II%Irg^D&LtOgQD|?y4X-&-0OX25iN7=>QoI88_GbN%s3VA3<g64O={a
zr1=mQXVz_Vg$<ikC!WBn_FopA;jH6X>IE>f{x&BY_}FckAJ1W>u!2}?SSRdPQW0F8
zamddQrp*mfEQj~rY{)c#+gx)r$?+e*-K8Y?CF54%i3+$-bNfz`zfuM0E|C37E=Vqh
z@xsGp)k$POlX3>XLQ)=-M{b*~gxhp$cQC`=^DznauqwT#?q*nbd1k5>Hp-2BO#}ao
zG>dx+&*?CYlJcmowtV~zOmW1>{13{jqt^wZKfoW}w+F4lyC!`{Tj4%Y?&Vo{|5r*|
zsymqfD=SF-9d62d#Y6+&KiL^Q1<#4Ns*A%0n?sI$gWYHqCicMft^2=_^3vU@ThItL
z7rb_N1Rh#m^)`eBj5;^<!cS5U^O?f?p3+PAz~1Jzo+j{$>bblRaAJxF&1KkgkXyYO
zRuZs$;tj_O*Sv3s?@kHdi-zYmZ&P^(vybqp$HFt=4R1ffJ$ut{rjz3xW;n?4MS~f=
zS@7*?De+-A>fFyQZ{g8@C&s(st<rt=Z{U*AlC$LgOamNDAK*Q*Mb}&5x2EDH?eO~b
zqg%-M)TQREzk~3Tud?Qy@O0>){x_I;lgmZ&Jw{Um=O*CqdS;2_e*bN7RGWrfWo|v5
zhf}$vC1?^cUfM3lPwE@;#nhoxFw0zKJo(-Q6W7{UVVg#ifg$*fosK9Ad}VW;5&2$E
z-2z*<VS|YzAM!jmj&k^Nzz*-7Z5rW8slx*Nu$qbL&3d@t&Zf&-VU5}Re-&_N-a+0S
z@XK?4A}?VEqvp4QaQ^Ud=0|YT;RzQpSe!yo_91*Y>RF=*%sC$M_&%(!GqFhqPNnBt
zPKLwW3v8v}&0E8r<KWLq_4Eob7r%ad47`3f#7Z8{i7KZHgJtL+=4rzwp0Y+E@R4Iv
zhPv>STl3dQ*zVMpd!}%UxXdn6pA@-NH)jHKH0GoQz<;dT?wo`B*-tfGgHI$0C|kk2
z&;C0W3JaauGvWXjACLFE4wtw0$lJp|{HZ4V;L}yZUtM8EswZ1~;Wfu785cM%M&QOJ
z_|o;*FP`wjm4<vbc-MLP{T?v)H`#6WaMmSRpJ13R+2_J}_~L=y_CT1wU~0$=Hox1#
z9SiGNZr@`9A6Ia^7!6OQ+{ru!pMSEO;t4G1^zon;{5ZbK<S}e<UiXPI96Ic&Q3vll
z(8(_kE1LehR|AI$=-rlthu;n<H^X%0P302s4-d!0CivC{RS8k}oy7KmPw-2gy*@&)
zPGycv7d#Y|JIw=|vhCPD35%VaJ<AT?I*@i{91g8??qY<$EVR*WOhW%i*^DDKJi=yG
zL=Q`eU0h^>FVZeAbHlF+xmD<43+=cJUic1Q(pwf-zC&zm7yRgo1p8*VdL~q5C%m5i
zEP@99FGK&^KKO|0N+A`zHkWru0&ZyZ6aItt3{!{GfDFu~_gZHat~PFxk%nJNXuKxl
zujN+3Uld4qa>(~-n4Y^|@(?`QOJ_#fPa%vtS9D<21pk~7nA<Yvtv>w5$Nl93Tr6|W
z#TcG-csMWzYkIJ9o`P+s1ss3F2RJ{xJOkV8Jr=zJe-{a}J_k4XHF8tpdHE7GY3<>A
z46{oA5YDqlJ<kPR?r*f;j_}UYOh>)oT=VfLL73&ly|gRjeBt&?5`Ujk9MuEiJ3FVF
zNc_F{_)+l&+}5marw!}hd^{8dQ-_&F9)Vx=ojec=e;Sj|AnD2K>4DElFy|iq#*;9=
z^PBcmSmW6p8<JkL3JN@P;E#ow5v2V_YvR$A3(MvCr1``5OU^hwg{#E_>#xE>^!r~G
z!`%bMJ-6WZA=@k~VBOJ^YvlL%wRQ{rE7+m4IxGRMpr?FN4~OllEQp5<c$ZE#!Y%_s
z2UFm)`^Hw^!+UP<T9Ev~k99b!4es3#G@1#QE`B=l8CF{LV9bE6^FPjX!-Xne?)*Rh
zF>Sd$NPOc>1<8NtM&2t9!~Z3SYd(eX|8hfP@U`6>PETNpq)!K?;3=10|7!TA<j2no
zuu*t*_A7YHo9oRR?qYnEpEroKzXYD7IWxdnk_!(=`|H+`Dh?*N@vVU*DPLc%_Pk_+
zU+ob-Ny=BjliQiN;E9l4M?u(1M7>A=4!w{UP1<ALOhW6T@Z5J>b!}LzVAfO+PFc9e
zPuefpE+>BPhU1q1{&#~MzkV<60Ni3x$3W(9G=2N5B@Ii`aNUW5pYS=wYQRb12?OEq
z&LpuPYVaQ~HRC|Ib4TGmLs)jD=>An$EXXd@0G{4_j*YZ;x@C;HTwy(5)`z72Li3rz
z)ftvMUcZ&pUvhcguHS_JL@E@L`5YsE9ZyEUySLBmFov;h&gCY!ba1yeX|E+RvTSRH
z>*g<Z9))>WJ(vdJp~np><b6H1ue=z7&&|=b9EU4?Ph~B`IkK_`NqdfZZB%a+4k^4`
zYXrZV7f#rijQWD0I0HGJ{ce>K159zpG2t})<NnuS7Fck1Rrx9S5~p7z8~ob-xB5A_
zgsR_rHwm}tdrI1Whi0yC-vh6F<Tym?V+R%2pXtII*f+i-^HUNgUYP5{lM~7(&%-*i
z4BF@6v}12;&%hZhZF4qovdNkrng5a|n_QX)56;xZo`m1z`B^@OzuM36o`r4Rq&=#D
zfA>#Ylk4Z5i8%2J{$t4VliZ){Ny|tt9I8Khm9$qGLi?k;;TVG?2a+BfFO3`+giGy$
zqsaHm&svuz$4d$@PD{XsTUUFAVUK5vEPLVB2crA?V5*T5;|%a23)W8~aK<ZzO(Z=F
z%L#~+<IhsFg;2m}x6*tVgP%04JX}ZmR}$YM@&o?k)Xw({)>4>jo`z{zo~tgxf&r@n
zKj9IM$kIu8JwJ+p`X1VI8wG?$;pZVymK)%w8&;CO!uuL!9<jhzobC^Pft`XS*SEkz
z(N|7(z%tSQGPz(*nIk?Q;IM#|We)gw+4h+xSlJ~~MFe)8ES4qpll>Y2cXq&DNihYa
zezHwOLtY%t6gFxvhY#(OiP;4!?vp%H1gpP&_E`?@+4tmD0nAmNw&x&x*d~%H2fiD8
zrSc@)-C-J^3SaKHYik0VU%bNi05)hjMt=^b3fZoj4WFs3qqBkSE?yZR`9-}z(Blhm
ztHRa|m9Tr=gGXL)PG7n5G~DNZS^pYbvv$Io)Q9&S5Yr2WcN8U4(Bk{+nNrL|z#TXD
z3RA;JPhZ!#1t0izT8{MRq~5dskpRCk{$b7rvuZCW+=b&VZ@DN8-+AzPFdd#befPEy
zoI&X+oefLxugaBzMcp*67Q;N;HPicGfek65C9u72`xQCZ>fr7171;dboiZ_anTH|a
zH!QVyUriDgbZzXTPeFTeNh^F0oG_)ee<M8bQ+0g@JoJ#cKnb>cE3m`~=arfl$icIp
zxJ=gYz86&mkE_BhqsM$ndqUm4<+v=|s&`1a8J<hIvPjOCRCKo@@!en5vq;XrnP5{-
z;_FNvpQ1J_f3uaI^yl64h>kk~TUNXcAmzc_o?G?Ku<y^9eM#`AX>nIqc%(k&Wjf57
zY4+k8oV2g*A1QBIR9`S$h2>`PkI8T-wN_yW{G6xfE~$@7eMzSZhH2${H%Gt>0_xLu
z;qY?GD<QB$M7%~4e7}`un$!o+XmGxI4^K!Aj*#;6+^IwMAK`h%QifPqf}xI~4=!xD
zzc(6AX&tuw1{=P!7$oVHH(IBPgvT@aydvpYOCiT$1g1__{oW6Um+3G~z$bQXr|W~`
z5`Hkvz&}@Ja>(yd!1qqkFPKBE<qc^sw5VCr{)Y3bAM}y-oSPa)K4mKUFK_y;lm10M
z1<I3DuwbuUILRM0H*Hnrg~fc|&64!T?ZY~`6_)*7;=2hBq-l!Y0qZAUxz7kwYu3q&
zz#oPz#n@qvs;|O|u<@U`7*hT<y8ib;37&HI=HY@1!;(ET;j91cQY7h_jjQCXHk|uw
z&Oj8N)Nye+4u?#oxs&vqCl<(k0%i{l`b*N=ei4ONrtoyjE<tg)s-=d_8fJEjYA5;a
zu<DYV89XRF_QVA4i~QGY52vN~|4o5yV*hh?gWpE_3f_awXO-&R;nSV_r5?k7Ht(|c
zg_G4<PUgY>+oG$k!8?`w9V=j2Q-7-)u=hTesB+kjZ?-HP-Y`^~{uY*Y`_DWUHa=-k
z_Xalpv4bui4pJ7?Z-?JeZ+)B$XKZ-t+6MC)o;{TU3q8NS@)?dyJ(iXa-(Cn;`Uv|l
z-P0+6<I*kOkp8>RbU`xpu(3_O1UbGqPyA*r+`n}`rxk8k<&$^|e|>KK<{ix5(HQ&&
zKGPDXR1e$D$eS&}>&M3!$@A}9%%NF^k9w5csUhd@<dWyVPuA1Psg=RJk=sXj;DvL!
zdrALhH|6ge+u`gF69zf(E^+@}LHNIWLQUlRK5I4f7lRMXS&t>d<$Jn1Mc|8DQ_jZ0
z!y6T=6=4G*t;R@L`rivy1=vm_NFfAXQ>9%ugcH)3vaZ3^ZQdu2!(pY`++Hx_<sv0}
zSlaHnKbe1Op28Dv3p0DoEt2wg%cDcruEJM*6wIyQ&9*5WzOZV5Uk9llZ0gQ=6$dBu
z<QydRiGJ}l=2-anr_m>*e675rdpaH7d3|>72+TORLX`<$nkn!j{V}<nNA!x|;7bo)
z>%r=iap{Gya@vH91}uN$(#=NrT69B-68uA^WS|~CQq0IIL&7Wm6Zr^dUmQBQAHI>B
z*U<&HmLv_z!xAt0xWB_bN6dG~!iUVgF8+WMOd4giVAXO~_8B<7DE&04UvaX$yf6>@
zd(k?df`>!RxBQ0p8}{8I^|3zf>*rVCV{<#H^<kHZ?Q|4r$e*7779sDu)$-EQzX(65
znaE1+A2L8|M2+x{3R~%eFh!|M208ztmH$POU$=!8YmoCTLJi_q;r<qngjIy^q_}$F
z|NS9-!v`r5E_G4=)+dAybzhMt*RL!UpRI&rF86g)A-w0oZx)ij>C0U1T1WV1zaCGL
ze@9!ldeb6Yef&XU8vL)A;yrnupYLaw$av3rCL=c{SX8J&g0v?TZ(pxxfZy3rKOpUm
z-8=#eys+*{^cd+cs0-6Q%MGvC_MQ!ZOU%1-#NfEKQ(1nn@6Bh&cfn1|^m|BqpCXbj
z$N&~I@aZD?xkmHC9z*!+px9ZG-_z!mb2`BJX0-LB|G?d(sLl~y;wjb-h1(S7Z7;!l
zH|V&M>j_s+vv|O2;S0-AuwsJe>0mgRg<XM^C&KbR)Ysud@vj<4dDFeSDmN0=kUBCN
z13%AhGP(s<`2KXe3m2bdT26o;I=RP@?-Bl(H#-sTzQVngly7bOtdFF@X=Qg6@59;0
zz2?*5n^8(lr2euet@=(byr1{w4^n@jyZu=$5AJ$lafy_#ZF$@OD}qnNe~izEX=*K$
zO5mY!u7@Q49?ujERl>A75pQ0?KVB}%y@tz;T6)QNm@9>De-rE{Bm0+>=jX3_gg3*p
zx}R>4`kg>ji+DR6?5CJZ>UZ+}E8QJ%j!Ca1>7Uy1!qD#v{O_~k3DQ4h_vN}+AKc*c
zrEdVf>NnUj0{_rDxJJsu84oV+@9@cIouU81;)5Q%Q?OE-_@i&|$HzrYKVj|l#{E+;
zP0WQ&YjE1Eljj(m;9vA|9cI`{wLS~?j9sAEoR0EiC{gt%Z1ktRU<;f^v$tgl7IqH#
zDg)m#ICYU+FX+}t#6h@(er%PLzg~J1XKdlmzHe&A;R`3cpPh$uZXP;F`tw2z8jUZ&
zI~Goy9)$1TI{wHJ=Cy8WBk$`}nyhyTrYY{5>4FQzcci<)LV*T$?_udcdv$NvtIR5l
zeD6<ZuZ(-Z{W&_GBtGI}OQQVX#Te5&Wia!2gVYsR%StWyA<Vh5@;Lw&r!dGS^<BS~
zjs90*`xmmYr2g}zRC@b$m~W%{Gm;)9s17#=!t$BB(gNY7_x2aU;hNk7ul?a)$`p1X
zu%pT?AzQdJiJLwW=5I>SI1i6?lu(7j<C8xh>cGEW);_!ix6UuTA^lgvudFi3_3$j>
zq(37@>ipqYxN`4t{XOveHCh#Ny;!%0Pg&t&>b2o`xc72iJ2Si?DW{)YFZIZ})H3>0
zLiWZ4+=2Pq{uwX9AENU`$?*+7BWh$kT#f41+hkbc#jrK$-+4NadodBdak#;t1Kz$r
zm@N(Nk*dA;0TxW&Y@Z7M&OY#ijK?=|eW%ZXCw=#9Y=lqu|1QdanG3coJ%@SZn~fg9
z3$k>a#c<=`g=5*U$^mnqyKwURy>t1nlak>*GC$zz_T~62IN3O4;sWfkAy<Zk7hmyV
zbb{OaZ**tEFNSl>RbbWP9lm++OM#TDO7PfW!}|O19<#eIDPb#*&$bWXJnh)tf0#ev
z`u%7Ld7mv7DkWdxwUZ5}9>PLNvY-0k8$XUbNQdWWM+#rU=Ti%{a^b}2o)2YkYI34F
zdA>wOE~zxQdT{<bxqlQJlW{7{l6pgmyx+gsXM25Nly0BM^WW5bc<c(SFC*qbp3mgl
zH%c<!Jn{W$4)T1SFM5Rzz-Al@=SY0yzfC{)3-euUHyTrt_oX{}H;~MSX+Kr-h@2n!
zz|w`xmkHa|p-awR>pvAe4C~A*&XePlxdr{&;ffs11oC`h)NHA3aCXS=ALM;@>3Xv^
z!N<?9M?8g7`5mMhU^z~^{RJ@HZ^>=X;g_GRK0YVmL4s<};F>&kv0|8-`+C_UI3khp
z?MwJZm|M?7xIxP8Vk!KBTE6iP>_>5ywHiLRQ)raTcT(f7eOUp=g->>p`B1+aa?R^t
z2g}ZdKytj^>8CYtq1-_yGXJps_Gj5a*mj`sCz+q<<>YtsE3D+pX+!24X2q~4^JXCZ
zSQt8)!lgkOQ`|7k&+4J$@RvZx=xuOXyceYbJZu&q!w-v78%`_1hYqQB3lpEE*`f&B
z2aj|J!mrAYx(mVI7n3~1VCUNux3|GYw92kRFrBZ~FET%ki)n1jZrJV93MUQx*=0kS
zC_E+KNwrAkw;AW0mVg^|f`sScr2xr-J@5|U>3iew>)WkIrC~9?dzC-n^y8Pb_rcc!
zh6LK+pFFoCmEq~A{g!0Dp`qv2K}Fb_GyOA}-#S+RFz_&Z__q2ona>(fx_$2v__|V8
zAeoPt-&)vq6sBhI$RzVwbK)iZ4B!x7D)A5Sxl2`iCh)_=`+BYL>(ujp=inDswtvWc
zNJei;etTFnb$RPAxGquqg9|()CaTVj_pK0|zvu;j)_-PA=3}nDJG<j5JpAEPxEx$U
z#oibK>kOLa$--fF|60OfsdLksB!2$=d*vJp8;LmEk@>FL&s+tQ;2eGbC=%ZVs|Rb-
zVEVPi0#~@}Pe|({crAJTzf3se);YH#xGcq)HUqZ5F3495pPQJBA?dT^>))!Eu#dvY
zB9cBo{R-o%f+LoX*O$TENA=9#!>20QsY}T5uXr}L!TJ`lw_d?c&VTbh!52~{pH#rM
z-Z@lXVCuhvHSgdig{TKZ@V_dV;kU5<`#-0D!1dysbW?DT%FOR+82hq_O~3{nsg#Q_
zk5*GX6@Kqs5ASCGfhF=bf2V|PCfwH6;jpM*zgXe>T^G}7Gts`eB+tbH-(<4Z-w5l@
zKhEHR#j0(lx4=fC6E$4$(YIzPEU=D?x$ZXDCF^|9PWYhi-+W&9!d6>}-7rtJlk^Ta
z{y*E($6;j}kx%4$b9O#7C*WqLn6pCgk&X+uF2bW9dk4t*C7YrTxx+CEY7XT5>GJFT
zL2$&LV~+%hIi8A#z;3sS_mlZ}-<}K955N)?Pm9R&pObOFI0R>KFdQP++Z2C}bqwZo
z?lt9xo$EK+j>4zE2DWd3U+B-#PQ$18j?Hd@eI4{lX5e!J4}Cb{txYudXtU5?(ZAS3
z*4wPsWlmAUW`Su28{u72*Q1%>7ZMh3w6MIRz%T<$ae#J|tiPe9{Ts{*&o<Z4{DqHt
zC46FrZNx8JU4Sc<UA(#B>3pHoIau`vRSPG4%ej?x9OgKhzeyB+dHTQ!GN19|u!5y9
zta4<axgR!3_>?ULUsjOWNY?Wl5vg65g}YyW;U(#T*&sec8Gh4p?a&zPb^GQYHCX?j
zz|mEBuHEv!4tyu7%6S?7*=)O_4@+G#4<PTy%d2+J82%8rm`2{Oz46472^`1~^Ngg2
zr@N(+&cQahLLD4%Db=@h8<=;3+GQVX{`Q@kGwi-UK58#~j?;R^1*Tf+;~?v!GP3mJ
zykPrC8yQkw9jyPM><!1TKdDxPnK`?L{Nd$Q$$>-g(sd5SVEEIn*Ry1Omfs}pKm_a*
zr^KuacgjDBjD)w!g(Q>tnG<#ydvC)}r~j58hsVS9`V!z-Gc|Qn_|{eYr913zS!zYr
zgB^08-JJ$&$FEMDgO{1wnP0$e-;{OC$nh5=t4rbEssWwWa4hHPBcI>_<7ESLSV%@_
z@iQ#NBK_q&eCjui+$ik5vzv>oKdX}O`R@mO>MKj81ANr~)vje&rX_pO296p?>|TKr
zy!#zo;B9(l=eV*_zq!!%pDldKPGb`f-0Mx{<_hyi3mNW&O#{w9ae}2<*#7N;ABQB$
zdcfnWL*G?l_Ep*ha=nS{ukq?|&CY}Tm*M!ziqD2HADfH0I~?I%w(~gbc}=;~5#HjQ
z(P9GoIvUTB^>p8@Qut26yQM@O$oGi}4yZl@^KX<7I|FMMUtzX@#r89<llic9Cfb6@
zu%QIsFHJZ)#<BGtJeR5wa10)jx%sOGW@~!KL&62Us&eY!#K!5Yqp;r9zv9F2r94f6
zBQVot<=zpvnbtO!oS&lNZbg}c{Lsr+NDJ;-sM|sXcS$BbHh_;>#XMtxt!NBe$n~y`
ze?P|r$K1GJbP9gN_neX)o_)04ojmVO3&*ouaAl*>b@IKxW-3w$!nID+*(5#>n%*zm
z2A`wj+v5y3k7>^Dga0yIbR_XfTU(g1ANEbZF;CVb_A*>omxs5k?__a<cb3h~9)eR$
zl<s-MsZGuC>hL0Uf4LV-simNH7{0k<M$I2)=41b+2j>e$SYCx+B>zr50Viy2yH4td
zzj+6h&EST0%WP6VoKl@!u_VWjr@SHaiK(MjPnp7A3QT!5@cp)M>$5PWk?i4KIP`I3
z%_-P(=L3;`SnsXCdvloeeQOPwAN=hg=Wb&d{eW4^@LBocnRBpiLadb(>c3p06!G@3
zej0z^e)t339aTp->X;b)Ay~?{bmSt;m-|#q4(6X8SMh{D?5L5~fmJ=2NBrQNHTBb4
z@EMAQpMmgOo>L2!@E3K11F^7xp`IjJ?^@TmIur+&%NxA3g`KaT63K)sHKl%8!CbrO
zyRzVE5t#r|pI5jkcR3$63(vUk07p~J3Kzg$dox8Z!797Azj+Ry8=%v4gVnBl^?E_9
zP1oiPU$tT8u7c~d9H+eC17RIa)$oJM_Fn$*f*h@56MU_q;r3P7TJk+tGpt!&%Xb6L
z&fQS)0gf}~RS1DQJX#$(VChYq4UurZt>Tj*_{RE63bMYp!f1=d2%K8@JR%l0+f$;x
z3JXx){7%*byF|p#{f6cH0$pyyp8R&cJP+{wrfo*a^)h6Qc5Q_fMNYdVz?Qz3e`&*q
zUPuc^z`gNaT3WD!!I6|ec%i*M@)VqP%)OgDzf5;kzcIYdapRaL9DHWb-vXXuN_2LI
z@1=ErFoWl%^1eC36+T<oonU|FT0uMb#iI?j4sempr$iE8k!##^7hz-F{t~i2S;%zl
zku$7um?m2nR*hoR^MpSR(bsCjrY<v6<oHX~2c8~;+x?fKufPi|GOaRj$oKa_9<X4{
zr2~9$XxN(_elUl<`*B{_KP}mwTu)ZLX3q-Jt5xU?`m69Z=NjE#Fqeko-^*}x*~(Lr
z-n(Aur1`_Mw#%*L_h4wcKh6i<qa-0!3p3c#N(I4m7sU-<!_R2fLjvINJf-GR_@`2v
zNEkfccyP1?77D0*69OCFwCKu)W$%PIM#2?mjOR1qchWu;5pe35ontcWdRfsT4!-li
zJS+*m^IT;87F@y<<P{3<?ixx*SWRi5$L;HI?WL~S+wh!4C<Dn47OHN>r@&DaUORo^
z=ZROpCBrtq!qYFoaqC}2^Wg6pXZlF~Ki=5loeO`WcRxY$w*W7}%2N2_Yq@AESXWEl
zsT}@RDa1v}llk=Tj5Tnq$3JP3za<B~v8aZrG&u`M{%^j4Eu$6g$Zq^W%D>vq+1Yon
zW7gNRM)2V8*!Yj|O`W2vhHwI{%eM}=Dz|w-8@4dpc;gEkCwG^H<llCgBcHlq%U?y|
z%5eWSAMZi<$Hi+86=Ah(!{)E>iReUrQeSX9_RaA>IC}n^0%_k$FjZ81gA?6+ig&@A
zz8$fcgu|;;+Qs05{ac@m!{YZ$wFKc9)7`Tx@N1F&;H_|_+Hcima{RvKRZ>5eAM+bo
zhxfQV|9}1X3!|>o8hrb6Tl7YRU)`yGndu?MKh>04sNq8jjBgm=y*;LCq`sG*{)?U$
z);FlQx&kL=R+w?a8`ydlX5i09lkbbc8i~92k@`G^%IRqlSU61QA!&bamfF2v2ENM~
zJv<19v3(Dcf*(s4p6-S{GwJPg;UaC{XC3fuNmn{8*oCP&y#_vL-Sp@fEURc(Mb_82
z<$15_!-YpYq)Xvh+IRPi;d7Q$CrJBbD8hI01nk`+^7b*T%Jw$O3}$aD9wqC6raCTv
zJq<S|eL6$hN0MQvI>AS8obyYE(}SEpoP|>ggXa_B7VBph?O?7@dS=pIr%X1lwSoU`
z-WwJLb3aV6c7~nXi*jzlTUe*59AP)9m3SX`bzS7aMcB2#r^p+wk#1XZg>Q!57juKN
zk5VRGhQr3UYLfMct>p%C9`Lv6^HLV@{b#;keBrC~L&weFtno|lyx;?BdZntc)8#nl
zYcTb2<40xqa=zSCa=k4ZPZaUN76CfP{o$hD?^=1`50ro7z2P)(<NOu0S2qi;O9jAe
zRjqGG`}O@k22paqofHT5lJ$Ll!xV3V;4dwCx@3J{u;Doea=rarQ*xxeo%-!4eJC82
zY;}sXr%n4F=Lf?>&Dn>`;9NQHsW>>uG&JBjoHw>zDHc|-fAov2SAD^eTvG^JbErF$
z^{rnL{<syvsvUewWPM-9es-AwIP5F^gA7=5>i&&>*mXgQ?=CD{;wt(berM<-PuAx(
z<o~)n0;{~qF1iJ8O0VOZfP1%$wnoBp9oi0K@Zfi5O|qUmetrx6EL_fY+&T!Zu}UzV
zhV}IQzFdK8J-AZVV4>_8HZM5kW8&l=c$}Iq(i#5Oa3YE-7vtwU4IeqdQdaH#l<?t+
zYl7DBAOEmx^ziMKr;3&^e|ew)EiC(<UfcjKE#3Ee6C4yTuYDALZ1i{w6Wo?#_xdpW
z!vACu8|-rOcE398_EOi78UEe!vt>VQ(>OK91>ck69@_`+J8!4X3HK#xo)d$!QmDT1
z!#(59S4H6OUVc)1aC*VL1+u=mr<bj32fQ*~&Ab&(oQn_^f_0dFhOxpdA^eTIU|Q+T
z518TOpW`@o!e3t~@@<5T6SkG^ga5uUlc$Awgm2SIz!rHCMQd1Z{bVzLt_=L`K~5`K
zFTUP;Ygr0z9{qTjtj89fXT7TcSF}!Ak@exUe}cy3;a#p<zl^~R${Qlo;7}FGU!!ob
z;lM6sShFMM`zJW}@~IY0xXCPwvJ0*Vtmi!pv*~wUc?TPJ%2w*ZbTz|w-ohJsvKV#Y
zerDE9wXjYSbAchO<0i2CHM}nJpZ+oUja2}5A)InU@8?O_@=AnE0i4-dqGSv+@m3UM
z!}F$`1Lm;E*4nq3@Z*7N5@xUw-@IxvT$0q=W(CjC{W_BbCuHTiorU?#PwR)mSq270
zE^zW|lh9!J_RVJ$&alp4#F`KM)MPm5CaflZ=8`-7;pf55a5!;${FozL(?R(>9X3(Y
zRk49Z_+MCO!k;Huo1NjmJboJGBs}YZfITeqv+8y!%z9?<&RJNqK&q<|KL6zU2Q&D5
zb&+QsEWPD-l@5HTa)iAFR`hS~)q+bjx7jws5hhe8RNzv#qcrXC;b(2GO7K_Nh?8wF
z`vm={G&%m(v!zdPutetuDR?YyQnL&0Y1-tw8{YKsmfdfdzpI9RJN#SIhVw7{RW>Mo
z7yO<+^AzJF^asifz7v55DH<Nq!z&lDP!;~WX>pVrt_!+&l?T>eW;w_O&-^G}V21NM
z&YCE})~uDmbTHdFLpl|BORgs)38!AYpmhvxKN@|Q32y%6o}>?V8Go*%g1gECyUk%M
z#*xK;8R*Xl4;C|nKd6X1FT=-1Lf%-xSJ?}~m*C~;5H3sD>(SD`DVXtcV3|G4=-|OO
z3Gb-!r?Z1^n^)Z)fjK-c=eodLv~op5uovScEhl(N>3!M<*f-Pi$0b-P^KfM=Y}sHI
z<_d>Y_T;^SBNWxeF2mW~$C@hObOU8?PgrDAvQjbpYH=IaRak+Y$*c%g5a24i0<V6^
z&`yV4vS&F8VHppbE%9*3C&s3yu<m2_yZ7MUt3@=gVUxoZ?TN5j+yTvUSU_p*i6{Kl
zW$8N!r*%2n;tq%H;4CSE`L?tE6@jHkFS6&sLM0W0Vz7^vxb$6kRpfqnXFBp%rw0kK
zaOyjG=Pr0XqqZvomKrhCDTZ5YwPb?fW|tp(N?^9ggAd){x2je8r{KVZTbkZ5_bo|B
zW4Nk_CiEiA)*x}@0L(#uRD`_ms7<D|Bs^mDgu???n?2La2}f&=m-xc%Tpzx(!^Xn&
zG(PaR;Y}7y@H-9FoIp5x(eDZa>|l9z(I4g!sGOmMpFWAb9SU#e6J?@+b0=D)LST*8
zIlrgVP=9UUcaJCM>$*!#!XNL+){*z!6JMM^0%u(^vm)Q4!;t;W5ZrO&(z8Uka>ZD=
z2X5A1d;bbv^rCy;2CwG-x>^lWwbU7R!;E(W4o<=RVp{9(;P^w)KYqfG<<~;HV4saW
z=b7>_-YoZY`8_<V^y)bS{O!zN*9Lgz-{fO0xX!r1;04UhD`cSq->o^_Qw4w56S;R9
zp472mu7D+i&+D4OXCBig*TIq8cH>sCLmTCb8hG;APaRwMd!A8K2W;%}C(IN6#H_I1
z3S07O%Uy;CUk!(ThJBU{y05{{+S;<n^R|0th6TVX%AVq1VNaIFqG51ux`kFBETLo?
zb`w6BlyiCt*80z0G#=jT8|FCym&7%Ez70!m*u6Fn`}coi&xUKSk4VqJ3J<g!b70vG
zAyv!pH!V|}0{DIA=`Tw#?YBDiLbz;X*=il0^jey0fb%z=d$9tWcspe^!SfgYD3SOd
z=ZYNq1pgNl=(UFM=Q11Py5XCHyz4Xw=LzAF9E5e7KJ!q+79J@>L$JXQw=9yr1cM6$
z#^5M^v1*dO1`o?fPQXi)uaB_7{uXCkSK*(#xA|{@pD0WT{DIS{OKG{`k_PrO4Ed<9
z($OlD^lMV{coP#G`8m0X4}MV5rMDH1dET=|j<4<X_{#^Ecsqq|hdcEnQiNf*!&F&<
z@JN2=UorU2_Z`p4?<IK;t-?XrEbYj|9ysLH^GP|_x}eKl2JZ9ca4><hbjF7E!rNbW
zaGSzcirgJ#Vcr3G=>XXA&C_{u{*^s0A=ls#`&~}L@Rpz(wNbG7mZgksa6-d#=15rU
zs~b0Y-sj)yerCeYGeezN;hfGf#SHkt1*#Ex_<GQfzFb(r%5;qmj(Ex_{t$kD^Rwqa
z#7A=^4Yt@p{^`6cmc-BKiWpA;Y`64~j>NZ^--cgxuukbsQ<6SrZ}Vx^!XXL_9i#9j
z$HDDAFr#~`&@g;{?}yGW@Rne`$K!Cdw%4&0c-wwXZt{DsQ1P-_gV*@4Kl=mAx7tw9
zJVySWm;Zhhemrv9YZDya|L-z+|5qmQ>>TjxYXb2?a92R-Wo~%1a$~j>Z2a#f$2ORE
zV0-m`xH7+^X*>Ki{LYa>@F&l&>Z))fMSC&H?+n_h7S&*HDpdsqn1_|_fFYb{eE8Bq
z*g4WR!59wg5)9UcncOc(S&;Lic<&#9Kd)-7Si?Vs-c~!nd#9vL&0(3Gj%+9R)yD^w
zXJMMf+!8-nEAJ+s30%6bF!>tHD)h(S49>N>o*xZY_jV7SfM1z}$Hc-yTerlK`*SBR
za3#Z46hG$l;hlbqfA7K90{OC!!5Vy)H?m>s+cQ*Ju<pberw6e8z0-EO@X2d3ex>ki
z%#Jte@C%y#mgR6Xm&ujGaQ1TQSPi@=&;LacUb=9nwGO5*3|1iDt02Q=;3ItOlxnIR
zeC)&d`cJS<RbV~2p6~b3rHv@BhCM!8llxs7oMfhh-&|*BC(rw@(l~hwy!G#e=SDCS
z?a7i&aOcql4)Q&mKksN1fWLn*ctO4wZ>GQyAN-m*+0GLFk#OCCl#iiC%QOyfW}$D$
z4iav!S>_0v*$y)9fsg-3_3H|3ZCtIk6JFvp%k_n${%vcKgt@4AMkC<+Z>Il|<9DC%
zPKt!3?G3_Z;9U*fvbW*&NBgp+;DXUZV+pV)V~n^WtjTjfEEQHwbvkkgzOPxbo&zgW
zE6v)#|13q)3SgRiX2$dI?zc>oMX*z1(^gXcOU(pll)+iA5@bpFAIsuRRS8=dYH5YQ
z>gw}Zb?~3%E!IJB*W@MR2Dqcuej);9|2n<!4mPV7rwNCTnt42Eh1bl3Z^gp;(r(}T
zVZ9A&by2X+hd*});N3BXdUs&Ta$lKIcv@wn-EFu?l<CJ0I4;I~It9Km!zj88A1kQb
zaTi|ld(gcC3(hhXWWej@qTUn*s1I9|Hl@LGuNro4fU~S=4RT?Bk7j!oxO7SHdNv$4
z=gPwdpPfy{1<*d~onPJsb5vVfJcK!Ga`MDs*?}kD3t`=-!r|)h9vwsJJeYmb;j=2d
zny~Tz_oqrR<2VkhTW=mtMR>sb<nzbioc^ZM39vz}f7TgTqN@7;-{aO;`K&py-If1;
zuUhHzuD<YEy`oznj(3%j-F6i|Iux)>zURB&<rOusy+q7+Z@60Ev2z_9pVZ<^j-R0t
zYhH#2v-O2N;DKI#&R;O?2xqDj94|K0vEvE)e}q2Bor7Z;nXZe#XBa7J?cuWynRU{z
zK_lN1NguRMO`fvwRHoiFXPBFfm0cP3w=hZ~*E^<de?<*`Bwm>72lxFh<I;ge?22lA
z;C)j(SM_11e!9+^aHj%|oG)DS>!nKooHR0UEC4=nMw~Vo9#NK=4uv0CY~Gdx%chIc
zM8VrG`IM9T?$cv8a&E&W+fQ|p`0x|zKXnII6TM<q1_#C|{z`>KM2>sDfG^13eUt_p
zPF?(41@B`r|M3L=lfx!S>esBD)yYp`k8=mg>)>5mf_tjr#M%1EYM5@}=gk`UMB0$Y
z8<>ULZQ~$3^`oQrH5~b5ykZERoS3j~hEwcx%*J4o^3<zM@X_{WrU^LcS_w6&|G(1S
zT`&iSC0hxQ`ah$AG|LjKEgvm00B5(~EBXtMb;)S=lkg)d&6I`6Z@4{%NP8rmx6qy*
zR<&XOy#Q0|I|Xcp^NjW4H=%u#?lCOD3F{k<K4ye%tzO7(g@>m(50m!Rrhe(qLhx+L
z<1;(p-_qUT!f?@!ivPsndDqiB_rOYmy8lRf?NsW&-n}rpqe<8SIQdSnuME8P`ACK&
z{C7wHpd8F#@w-S3b`Z4*P=zmx1h$a&B)><?cMZ77Gokl5{KDVlx*i-|#lCn9UQ}j2
zcogn*<G*SGx6r45HijALlJA^^Gtw*~PQj=AGWbdRws_~yooC@yORj?!uzsjVv=v--
zc88V=9Lz&6;RrvhPq4fIC!G}C?F+Bv6c*LMaRY8Q-Qge;&7?Y*<FU1?KfKLc!(bgw
z-YK~`6t-D^=<pX_+sRfN28)a5%#!`(UfYgX#=u2<R19SQylo0CY;mv?<G(mY*eqIZ
zAs1d3+Au%^&%YOcm<P+t{IT5(>$?BZd<L_vYX>mF6E_xCieZILRXPsXaiZaF1*|(B
zv5oBKS9PRjy$TL{cv(^y_A5zDYlI^eD|Ce5rS>%Hw{Tl}wy6|6ujQN54%e0pyOaK;
z=fW`zT`+C+n_$x4G@av?-v<vGQlzTF>Q*`RL$Gu4M=7!&;&<s==f~jgC7PqB;Z^Nl
z`(|L-UA4}>utLSehhOlp{?v^t@Zck#)HRs-<oyR^Kgcg-K8iF?(Z6`Qw)!p{MB9<I
z5oUXEr;Y6A^;Y1sIx`$6R`Mekejsruj}6Y`xv^XhD;z(pvlVXTO=Bkgjq(eAfBE2j
z0yplG`95DhhNTL_W-iIk$bMUN$2U;zgd4(bYRUYef!-PGZLofi;iGoACTq_(5^l)R
zV(<rkE3r{yJN!4gOm+<p8Edl;g&&_h-^Pjl)B_CZuLR(FGlLi0aK@7rMKO5vY_)|3
zy!@dwRS*`5&eza{pR{ot+zb0e76(Vbtt{n<A~3&Ereh@hQh~;QKdh}*w(Sk<H6HzS
z7yPFqmyXPzS@y_`SA@-&I0r=0U!U|xLFzF4F^+Fp7;ctgzo!L<YQCqHh0nh;>^lX2
zcWjX(;|q^1l+?{&8(}YP4LHMjXv7Lus&}?hgUvh46VJnq`Kse&zgWKvih~zmxg@C#
zWV|DyFL1&ccEmqLkogFDdeg_UU|)GTIdZ-IG$tt-@SNg>qC;@$nb7{Ha5(jr5%N5H
z<b`9O!T+p!9aUhR6{C(CczNA9MFD=dxO%+~_BbZH<1p;e8ZXiUv#hQtsKXW+N?+c=
zybQJVWWL1w!5*KFu=<98e)4=;!(n?r!987?He|e}`JixHKOD*X?<yHjzg5-~Gyvxp
zHc+32m)>6%8ij||eE3hnax{|><FJuG<z6yh;DB)S?m75UOpzuTZ+h8(bYLE?I_S|#
z#-rjZ=KX)e=862H7vSqQ*GAW1=0E96WPEE%Pb`e42>0(kyx9+aUQs>05%w9b=Z}IP
zJ$8v<hMN`6%ie^y>5b-dz=C|Ktz`V|T<m>4emGWGW|WM-v1A%P-v+a!6f70PBQu+f
zcf#u1RX0C_-vvK&+Y6t~ae2@J&xu@SmVxi~{H|(-&j&IlD8Z+W$JmhlvcfkFN^8Q~
zZnIyTgSj4cj2(d|Yu{4;hWXonYpK8=k7-W*fy3xJ&mV>vp4o(OV7zj%Zl+F=oZm9w
z#0B%pmi#8?D^zkOlkrg=#r%|Ga9e%SGcrCJLY-%D9FBI;kvD|z6h<Dfho>8hgY{rL
znh<|m*e#Okk2*Zo>n`X5&(nFak^QuOxjS6A0H2g-iX`LlQ*VWj1;hJmX+9l*gIVP_
zT!(|ji!Bu3dW+9Dvf!!|p=vVT-!N9vkpahD^pO>ZS6S}3KZ5_{yg#-Jek&k(DjT+0
zZ7(DHeVyr}Ue1RVD}>s~e$%w2b<w$S->VNbfAKy1&Y88B!n0jYb7Z`B_-US81uSs8
zf`S3ZzklQNr54`(n1W{`oImhMtr6a^`RGm_c<^8T$a~l~`<5#Cepl0U|8>B}!+pCY
z;WunMGrqtk?@DGQVA_K7#(nUlqlq^eU;Z$tzBB@h{*H<v<I8&uLh`=Di>4A>%JA7-
zjmZVLXMdCyna}W8E-HNqUJn-kK)x^I85h+xIH$$vhbkP{Sh2Vc|L&i2CG#6j(JEcx
ze}?+vfWrs!{mn#^_Xxsv>Qp8qehr0uT1DY-KTbCizu{#(JR)$~kE=h({NsSYhkq2{
zUC%Q2k^7I<Dr+5rX$2S_k@*&}70-7W!W?Hd&yx7iex%`L05`T=ao7R(O>O2hfmKvI
z0=L6vJ$s%Q!BH;SmzZITxM$PWaOO|xOeQ$wu;L*rSkga(hwT5RFI(bw5zb=`(4l~x
zxFsdsVc8Lu4iX=0fuW1(u(h9_<r?De=u@t|Oql&|&kq`epG$Ak$%Fp{=KZ6BzvkGi
z=fjWdWWvb(exBe@FNUiUDAP%Nr|&B_DuHd1qD0x?{1o@aN;tLDNSOr|jD3FQHT=2F
z?x+x4N$s)T1dCkQX}b-M;NyAT43`BKP3?sDZ9aWx5cW;zlOo^4H=bU17#?Y{tR&y-
zw&UB0F}PBJ<s(VIdm01MCtxP2J7(nfAZn(jIuEbUs=AZ(RHgqiZwa=V*9;=@DLE0K
zy9OKYow`fnYr_NT5{hDsuXX;+Jq}Onwi|DRO>RcNJ_c_;a+jU~RvX=<Wde`n+2*sr
zhbHsRo`hwZ+nYIIhee?!SC~D|mq8R}_tF)<0DG66cr6C|=QKX{fZgab)sMiFbtCl7
za726Mt;6u<E~nu0u+*V&34QpH^mwuroUD=QqYDo`yu@k>H-2*9JpsR4oZ3a6=j!%A
z+v6}#vsV^*-oE^LEqnNQN9PzxpIyqOe;wekTUr-M{^R|8X&?apyeFVk52h|zxE%yL
z)6Xdx!^N%>oEh+$p;IaPFzew#t2Fq|;W4(ua0GSH_g8TCKDJAWFqKmBzDoFkZSFY9
zZ`jq3wAaDK^5YaFK8`eU+P#K9t+33K_;z|!N&5y)ylF@;2#YOb88*T%*+zrNeu7u8
z4aaxEm-m?$vBJ@BD6~JrJv5C6x5CcFDiQy|JAUo7Bl(B9fW7h$_`g@NKgspn0|#qp
zo}+)DQdE~4rk>1aq=pw{>gq`T7BAPW&jv@_Se|8s@21>OVu6qDPjDpZ-AGtMjt4gW
zlov<|?^-Kw<$zZLzFnHd?`6A<nkzp%GW;ui8fJF6eT*BXj(b1f1+zOa&j`XoK?C$3
zVFouRO;-4=ZE0IHtQYz2KXUzROD+GA^02-<VQv##RrhN@DZkHW>l)I+szLp{WIl#R
z%;<hfcy#am>+*0)lW6BgSYYU7%0XBvDq5QYre@0g#RMxiyc(l}KTlO{Vubao4B5%~
zE&nmjlKG?os+UU0`D?;E>3+cNLo7oiJmZ4<IGOKn^HeC19zH-HO;Ha|jaB_3*SFha
zYkn8jc=;-koPTR2(4EW|*wg1*N6uI0uQT?9&o4V!lk*$2zFu&LZRdo9{~>-(cgw1%
zz$#5^_2m8HD2z^#`Su}6lcrQ~7Nwik9+>qMSH&M3&n#ysDFNG!iLy?^_f7K_$^7_~
z{-I|}uy0N);}~4#Kl*n8R=aL;eGumF+IMCOR&hMwG7QJ+A9^$a=h9dH*8>mi%!+7$
zwfEIu8iBdfs=G*f?KaSw_yUI>qLCr#`S}t0k7WE`Lh1W*5nM^n{_qi;yD-ju5B|0;
zWmyP6wimFu3&(Ul>mmDBr@eS5906N7)8&);yrs^@i(zopfe<0GKd<S^3&|_6TIQRD
z9Qf1Y-+q^2!_#WcWIx@d%14Ui_j~icrxF?e7l~O4vxU!SPQ6HiIiin_oq?|%4oD;W
z^=j?YYB>!TNe<Hm!tqA`Ia<O=na2hFVeXCJ^vvN^_GjTXupfGcj9?CFl}mQ8eM#Q3
zA?!!_eEbYd%NA0u4v((XR#?FoMMtUBV39H@DN{IQ^mW62ION8DYI1x4k2td=oGP7p
z)fny;{}M;?N3mZ{0v50li_zCDu;#DNiAHcCMYR&iUnz%`15U!fGEW}+OY&p-?JYd;
zr>7r(QX!nKt$LUX_Io#co#fBL&M}>2yj}UXU>3<=rMJ6llks+Q2R8W~aM^YpdGx`k
z_R{+G?1o?VbRM68yC%mgMBx2l>=o_s$o3;<d*POMsU2-F*MACgyWnrn-Rr90J%3|j
z$@}dpUHMW8mz}vGCIQQ0Thn~_+sTe58F-)CiIGR}yOT|44!}|~VjszPx4=GzHF<c*
zId9?)oYP8ax(8lRUwUE)A6D*pDGdM9bV)RVfBf)y!UoHATj;K%zv4|wu>Mwfd49_3
zFZ|kb*q0r?w%J>w7goB`$HNEbh0&V#z&t6No^it|$t`-M|E227%(NKnATsP*534@D
zeu#XpgJOplNPkX@nAsKb{GBcOLZm-PVqv^q3g%iXx<~qpD9aNvNO@zgv19lV+$YU9
zr42J)jxZ(thq~;ac9Ha!cEdHC^xqxbWjtUCOFgG$egN+*|50%fHh-mjij22%NV~ha
z!!rzBUrGOBYSqpsq`Zlyi($%vBTXu;Lf}6~gc1ti-!^*6<o8t|wY8V@FaDel&%F;X
zT~`<<&uhKa{>THknfC@oDg5vn<DZ9cz<aiE(jOI7`BttJzEGT8O5XQBh08z7;6Y<i
zW%515x>;J<VEgnBA*8=c@<51GC+u8065j?}OWSsSf$M5m^54Tle0$7B;EioB43=T7
ze|)Rsu=!}e9qDf}5r1a=6Mp${)QcAJd5|ralH^Y`N*ixc!`%&+OMk(8A4am1{wH}y
z*OTk8-_1wjr2k2MR-J+5uc{@xpR>U`3>EW8{vA20-ogUkd%|&+<flK|>kWC~#TMo@
zW_Z70w*xmk@OSzdDPJW1o|@eT7k-{R&I>!Y*wP8YECX#cd@zOV_h>QL$g?$P2P}1B
z`T^<hO0P)UEC!1yjFrg3TBov}NWjvcrrweH4DxqkttH|36AngXzJvbHJCt&8>>&py
z1^7K>M5#RNdu3!!13t_ddr}QPU-)&SI!xmo^!hNor0{`@r1!qqTW9s*M>7o)<o6)@
zHInTZtgE6}Y6?&NePDP7zGBJyo%C;gwlAPP2m58jTp;~h*FScA^MWZfl!{Knn;(9=
z>kUh0KRsv#Q(pM<ITWTUI&XUhK48HS6%PATbWPd9aneHKv2f%0Tq-hu<nkZYp*Z-t
zCugKH{5{D+AQS$*__W*szIrX>V-_s(i%<0u+^71&pcXzOAdo`lqcC?*P}jqU-NJ;(
ze3hOm`jIcN9QS=Ya=jOox=DR7bp+M4C;au`N!f33Z+8K;2OP?nGWi|;w~;l<53bP2
zy*UMEJSfc~^I;DDoKu;Gd6Rf|lld}U!~X`B;IN<y)j(L5c47TDT&g|%IT^Oprcc{Y
zg7)H&?@y8+d7ilFK@V?>`^``R$B4(XvcO3+x3-tV7P|z;xZraC4Jy5`f3kj<ApG;g
zt&=@)$c8e-?eICR@%|w=TVk|tC#*W^wlDx!x}1#L4X^OG`2K*qPKHVzfP)zH<Nkwn
zHeF1Sfj363rIY`=u=@SrkP_U#=u^4~zj5C-s|-I>>QEy2dFR&CF-KtjC2eCef6CIS
z`>-~=V?C{p^e38rz#lKcvQ(_|lrZ~ZLb4(3@!rmd0WNw(-(v}P#Hc(Z<wgF~om<v$
zpLYD-E%3CI#swev$=9-r^sw|$?>0Y}tCVhq{2vJG$(Q$&;TsVr4axN$7N0Xpf!`Hn
z_K^8ujb(}RS+IP@#59>7HuPEl?f*Es??A4;J`UhkloctYGNUAwN@PSbB1I@tqU<u0
zQIaS`_V^(?vyhZoWMw9@LUvY?kzJJMeV#vG&N<ij-g~~|p7HrShXs?^7|HnJ=UYJ*
zxp0lu1%5KVIIvrh`wcu_9rye={P^DE(zh_jz}GSfxRmSf-uI;aGmECvu&}doT{WyN
znK+^hUo@t@Uke|5HhPn+pF2VuQ}PA&^-+mB0}rqo-|B+@4*Kzs?_Ubr%?D`nv0l{e
zT+08Cmwm*A2EIhcvWtvo9%Goiumir<D`zML53SNBZikOqP<N5nt7H%oeGz_@-0wri
zPq*g<Y3RYH!nSS}fq%)pd>#N>^zmoxg8lfb4TE5z=UNAa;NE8ruK6&dlV~hiZ+Fo>
zR;&>I{a#OitjAkW+WxWw?xz>LOWIqtX_|Dxo=NJIq`i#7SNFffp?21!y<NS)v2~a(
zEo^~|@3uHtv#}T8`}>cgI1jwXxU!xDezf1TgslI2eP)hs4?IF+KP~{@)Yo{w7xoei
zve^$mQ?M{N1n;(CezXs!*xSH%7`8qq!a(jH+sBdD$6=e1R9<pDcKDpJl!h-psz@jI
zk9O32<0<&HxkM?sfA5{!-Yde=wdWPd^;O-${8t;UQ$A!X1G{|kcyj^fi8#Ha2ybRf
z)G~n2isdq#g8#&DZZd?W<my7n{nU$<%rJvX_wLV7g{jx_uUfz-mrfqkf&~gY|JuSV
zqDhLHFvIJ<8xC+%XT28rz4p?MhTawa;U{2W2rn`Ol;4AA&5zBP!_Vw`|2=^veR{W(
z--C}ttn&j%xz<#o73|d#p%Vd5zCT_-)^{oxi!emO!fL9r4)Cw43oqhfbLtQ+dpL0a
ztWhGo_gq5v9hkdAIUxr=eTR?62{t#FxR48{ycT^zevi&vl@Bk6J@Vr7$$0q$?W9^I
z?AV(j^AJ|Orr_HGGv;qJcZZkuF3PpRPd>6t`@kwjPP=}<1?vw)Jz?wMqwSM$^%3tp
zKe#O^H<zjq-+weM^N(OVDOU>`nBrpFU9vvbTW~>X2fU|hrI;KqTBv?)C%pUcihMBq
z=ZEaqBk)J*6?byHhdSIL;;>NN0&N)F@GH<p9oDdERwBo%tGX+A4qoJ_Z;XJ85<eIl
zz{iDRmO@~+&>}8FnCE?{8yWwnyxm`H2H)dz3?<|LqcWX#7Vry~o7>6rLA{CUId?dF
zWJNay7Wwb&1`n9>($D^6Sd9NKZ#w)wqeqz>@A6r;t_*l7vf<M+c%acCzYN|wx5y9&
z-#3b|s(?@a8ww@QCn*KLRJ-7B3*(;?;NsWZlwaZbT`jug`KJ4%LY`s~jz41IOwNz$
z-1wRTym$YTS#mu&U4BVv!B?)CZ1;d!JVPF8!uCBrp)N4{U|@wIEVp0#-EDYkT$uhU
zOwsLpl=Lr+75?X@Fvo+g)1-fSDwq5+hSdZAR*?Q1p%mV97Z%N?U%w0|e5Ucf2cHlb
z_9Fe&CAsT*7^y$rP<a*h`%i}}0<QK*R3-h}oldzp7H$_AH86$ST59a#VM(vz5o=g=
zt$1@9tatDC%1wAQPOdf`jtg&eC$G2L<EU8<T-QYxehaSp^L|$@JfG9e<qC^M<(Cw}
zf+txHlKviB+aXc{oBw?!L;B08SxZ9|tU>=x^D%6<%iOaXzCQD+lk~5BP9}Vx;M1yo
zlYuZN&3ac8EIIY!7J0stXaDE?1?CEG^(Or(!Zq$-7d*5S&qVUC2&%+44ZtNoD)?gI
z?++EchhSaCfQ%HlZ=;gn1T1<svxM}AExV?Bf51;g9ZzM#7MJH-=U|g}fx6`Rbel@z
zkp(zWU$;LOt~rs`x(XYJTg~ObzbG&H{e_Lfj@&7N|GYL5-cXFspLeGM3Sb-OmZ**J
zmq*P{YvJ*;6JI#sh>5|<D)@Qii@@#hkB2F$jWEac!P6?Rbdpm=IXq#?5TXQ|&J;?K
z<F~8QH|xL`jz77c2k%lp#Gws8eEX?~y#62D`wH~oTUTGtkk`*@aqgcUeC*_+1$qBy
z8J~(Xg6G@6+#~(_%Dn05Rak91*AiJTADO8rU;|g5Xxl~J&vH`NZ(6~81ssv&{>d(%
zp}!4}s?59~_wP%ixz;VXgZJoe@_cPXH}@$RuIRIIApKqP3>AA2obF%n(-wYdXBLtT
z3po`?TfnRQH@h?89jg@i<nwqfJIrPl-nV1a^c=jwD@$k&z9$*>^CC<W?@;|4W(^Ud
zAkW9I_n0(oc#H2(lg^i<|0utZw`PJj@m;GV{YPazx{n3cOMBf+&R6?q!HG?<eZamF
zay`Cfw+FGo8jrV+w8I<qduJJ73+K?!UtqP_td=b>-TD2KD{#qV>S0nolakW;2X3S&
z&f<byqOHPIFdp+PxbF-<JU8|;jm+<9KNq0c4IjN2C`$J0&;L?Q7J>C=H=R_6bH9aO
z7KItPU)1Wr+eS+M9EH1S_<FS9M^mo^q~M!()@-a`Z^@y`lknqB)}A-uPb-qHr(m)6
zO`9BGJsW{YOL$!CpQR=2vNu5ECcHo5zgc^@sqA>8FMPS9PnNVlEAsl$6ZnJCtq){8
zYAItw)l*oT?e7l~KY&r(+cg%x@Fd8d>{sEX`C6O_=do>yBLC0nz93TpY&>96M&bon
zW_`DQ38yU`$RhCs?pDza<ieG2&J-8J37;$FUcdwXY-#UcW;0`&A~-a}_3JwPJGL^p
z4BoXbdy4Eg|Lyqf(+61BUCo07<8|Rno2(n*ta8V2vOl{*R<FMqc5wAdBJ-baWgpx+
z;Y$*kd1U@G|DpY{Zus|8F=<hFwRE6k5I&i#bxs8C)DH>#26I(+wjY60&Qc!u0l(kA
zFfIn~t129ugzJ7g+mQLox~&_lsor5eO5#mA*{`){q27%K{wa3!fGq5oGWm2L%qgZ6
zK#o^;zf5~Syysa38`<xr;MHKK1sA(o-y-v`4*IWzbzl+W(G_z1#;Q~4w_xfYdWxid
zT%+c+9c-jFQo0YWb$l7%0vD(jeclUO)D*Wn!L*Eu|BqkL`rnq@_u=T(tp?mEKYeiL
zyL)giPtq51y_SUR^dG@R>oyZ?q@2zr$rGOTTD?xjLr)0R%KO0#7i%0h!M5i<`8<Y?
zozR}4fZv33><NZr|8Y@~`&CD?(<TruI-TLV1gC1GX2rqwb)rcm|By;q%6ts$rd;y>
z{rkgJ!=cG=>xR3cWW4pR>ri(R{CRX^`T%U3zT?hwQa_@qxDQ@W<0wyutvj`jbikT_
z)D3fBJ7;?3HhAcyN?JC2e#g_Y1~|OLSt%cWm3gkU4&JM7=l=%w%<Vrz_K$6#sA;H#
z4O(RFOJKvGV%7?nkD>X;8#th@|5Y8F{PfOW62HaKW7@I-?hhP)Na9(jwMk`k!%U_J
zpBKQQ99CR?@Tq*-0y00(=<;9j2s|O2TvrW$GdTWo8D?eK5hQ@?SFY-Pb{+PLeUZcm
zmuxDgr7XdImpz;JlKXonn=Wl5Y)|o2irilvWjRB7*i-dy`62jWx`-?vY{~X$h16er
zZnMM>b32XPC;esl`x2u!%;z_3%>^^;HLLM~$3IIhkoXj~^eLu6@C6BXTJrySLw`BP
zz+$^AUtfV+`V={m;n<0PAN1kM?PvVbV6&3=7BZi0F8k|8JZu|dTt?=*Z49VeQsKzc
zNnJs3W7AVHQvM~-v?c^Tq@vhD+H-#YX<7n5Ev*+zfSb*8waI>N{@|NeQ(#Z4=&?>%
zC3f_EEG+49rM(;edGoJWBFvP$H24D+yJ#C41wXi3*z^+~=@vhn1h>kI+mQK=M|BaQ
z(eV58OP9%fYNTAB3u)iFTfmXb{|?<f&`sL^jvc;E;vcc~dz6vavslP@&k$}l{lG)Y
zFGMz4lKCZnhq5x#{;!nOCV#m4-wY2q{-E}sr2trAgJ1VkxM)eijl^TBue@^S8T^F7
zGl=Y0=6)#JmIddR?#Zu(HBGiS<iUMZS8GZ9r^*l86N_QZdwcZ<;43q<@)dBjg`QO(
z?0om_?@D;}$kVw|xaG?8=mwb9s+xwxqxxOAgQ*E#WKw2bgvXw4&hCKC%5DnG!^au}
zdAnhYweJUM5br8K$ESP{7T>c;feO|rWIH+nE3JE;V}q~7u(nT<`pI!dtZ?JWzJMus
zb!+$7b~v!FS9B5nNHep-0dKmRJ-!4_9uaoug<W!A`uu|}ZKXoE;f;)sPEwR2Uda^)
zjy*6BhtCilEH&&dEC|=1xfZhtwht)G5rwJbEqgdg{qt3A!f;mPnFub}Vr=EoVYupn
zrZ_)5%)fH;5FGYeVnzTia@;>B37^zH5hMb4{1u{+fMpE#sfxlv%=&(Euv_8biKC?b
zkVdR5EVPZ?KoY*m^alG%F+OE2@K+92*H3<{4ktZhvp)sL@lw|sz}2gQtY_f(v8k@h
za0{J)*Eu*-MQzjyHoYb#coDAiKDc}Xp0?IuGJt=V4r~s9TQ50ho51^8O8H2<!R<+f
z5jWvYrN&a(@P!bcMPvBO{NueO-nf$%wU!O6^6bu8lFx#9wKUfZ78pyA9)Z=wrvz`n
zZxyFiNPM|Y?&CG~aQo$&OY^Xfn4^><%z1&;jKpJoxTEIlJ(y*5*qI78rroUZ0A6qr
zc|_s?i~lm2@qsHnRw7v8r+IIUpTP33WS)_Dz?&1d(S*T6Vl;WYu(F`?`*7HyX}6Rx
zEK~RFYAkFSGk#_dEVj3cGalAmq-`bfg3~;Y6{o@}Ox43AzI2IimgsYsy^&&;<Zt>k
zvbpIM%xh3gN#bArd7}CFHK||G;X~q8K8VlX`xgEa=NnDpWr`hDh%1Gk*q5b}c$Mc=
zvSh2_|7xrYwP2wFrPp<E#L>hmWB6-*p4Mkrfl9T5#P_5Zq+@D@-QOEsz5(x@b<XaF
z?K^3#E#N)Vd-(fcV|}qZci_(AxXKZDX0qAO8P*Qbm-r4#Z~Fb;WB5OVj?Niamn}5I
z8-Bx_pgs@JH5BGW!ahCRQ-9#-vuA1|V0t~@^fls_SJdNSsb2ciH1F~M?@b!S!Y6i3
zme9d9rx|W!!|mZqf7xNJ`RxHDzHH<(+agZ**ONVLB!5%Zzym1>IC^c%r5Et->_6_}
z@Ryex+mhf{XXncm;gPcMi*axbmj&%9*d=|ymb@OZA#D{cIJ6@-l*C(I$*%I(gdfa3
zXY_@+rjCf}!Fx6_bNj&WsGi-r2)}tu8+D(w7in<}gFQDr<0tV|1+Tgtihx_^pJkBi
zwSiXNJ_Vk>#P`tw-es^Lk_O*9z<Zv=lV6U%*q9Axztg*Z7naqaxm5uF5Iaqg3M*JS
zZg~&SzIS0whJ%{*i)!F8{!2L|e(m?#uX;^zQjSMCiC_EstZP#XJg;rn*b5sfQ`mOH
z1A1Y7U*VYa?2%r$@xS{MlQ2V~gx3f>$QJu&0zR<FCO-xjN(4WcgF`BWJr?1H(b8wr
zu%a}x%rcxkpR;!vuGie{Mq7sYUx!Auc{r12eQp!HZ$9%P4e}q!UJDFkh56pTHm8EM
ztv$}M!6p9^r|99=rdwvX;4GHpe;Z-7v-B@^!lGM(AN@a{(ps$AZkW|JAYwDhS+_-%
z?}1ZYO_F$F;SUF|9fbWfue|1lpE92aJqqvR+pZ`HH`DeXmVudL=r0_Di?nD=PQtq=
zE5<b7t>IZTs_-07)-uVT^}(<Gt~y*M;Y>~PSFtsE?9hQ-nyzdm`Kzv3#eBH{a}LNq
zHHFPh)SM0Ata83gW7uKP;;<pi6-Xmy1#|4@&v%2T=L~L}!2X6BcJ44cjqD#%&O@IP
zmI{w3u%09Bc~1<VONS#rOt#&Gg$9lU7r+G@br;QHK}pv$MKHtdgRXXPH*ceVE$r*-
z8%vJY9lzsrJ?z|X$nOZxo?ByBhTr{W@V11bW~uYnVeRuf1;Sw?jl2tV<>-&9=|@6g
z@1YS#Hu!m%T<<6Ng6FOd1~}o`+mFrgbCHN(CioSL_xUcEv)xc^8ysj$fBg&Wcd7R$
zJ1p7LKHd+XDwSy#g*C)ZZ|{b8Tq$7NPs-&UgnfqRi~lVuz`i@$J~Y7ZmjZJYVe0TG
zwKn)p&)JR}a7}<~Y&|TzeKyz%?sSylZ-o`aZ??L^qAi08P4JnhZGmpE)3by+@_N|i
z-sdL6?)G!r$@%<zcGo%;=6ao#&;h^i`uQ>sZn(}--U82E%e_$md-^vkeTDt{1hT5(
zL(IZv<aj*(v*xw%GVj17IX|s}7aN=53(_0bdf|g7?|t|T-=%-+F$!PglQivuZEbr(
zhGF-|%zR(r$v=S{KjBF3#)=`>=0)b7A28eXbhlwxY0e;f4rYI8#ytsN_~}?W3pXXs
zGR?v4mnGV_Jjdtv{dX^a!%>2#M_6E8w_u^a@cHnR89uo3l2I*91^RbK&N>hL_L2DN
zCfKboFZeiY@|-D_6>f<wPLzN<`u;St!>X)BV&~y{wH`Ze_{7tKlNvC)?_i1m9Fg?0
z)dIeJqFzY^=4(p(W(KDo>M1<{2mP6wa)x={?5w^C)9LT9CiSJX6+EnAhW&5n?BHb6
z1{#0(!q+J=OPJ>Uzw!W>YWi`ZJ*+)aMiocOTQ+rC!?D-b-p9kSpPpTDg2RUT4AbC%
zs4G^t;dmLIof+_y=EARg@LqeW(i~XQ>^Y??yqa<PPA;7NRnF%jyfsXes~A?5n*GlM
zev|I<<t^NK!)vD>obho_aSJR{dGE|4*k0qlV;fvRx4Fe1Hs(+%{094bsm?xzMJrMr
zM&LVdx*bE{3YI5Zf5LHR?7V_t%gE`^Q*f~OI(-ye!1Qj*U-&F1&%SW@##^E0e{kxL
z%$!(w!|iz%=1R=p#Jz1I_3M<)KW&Ch^ptdxV3weBHXJYyLyd6)Ty>&$-*)(;hsH!Y
zY%25WBQIQj|Kmz3%v3M>n4h%I)xQ4{rn$!{ybq3EX$Z)I(?*|;iohb{=h^b%>9aoG
zM@YHL2mUv3U^w$Bad@YITE;tg_v^J`8MyLaVPP?>8NhBJ4~yeZ4e%YY)p!lqZdbri
z4SWpAz|X_ktIX!jaJ2fPH9h!yzKzo-_~6BNj#uFKcWgcS;pLDw>?W|oi~8VRILB={
z$Q(Ynp*Cg;9w=NmWD8%&+L1X4x2w&X-G=$5L!>vnK!0dlq`L<%NDQh`!-1bl|9HZ#
z)%8Y#@bST>7(e(xKZ~6JEUdBK5(FpBx=_f%kDhZnM8Z9p#haz!jl$QS$HEdCI}&x^
zogY2bQsAFi7jm@V$jieIp2NF_UddU(wn|L=x$udhk#jfTJGXLU^59hWx=XHbt^S})
z3B0_xWN`;BI&bAr0nfxL{|<%QJd(H8!(sV08$;j;rH3sIu;g%WKs3Btq~umB{7H!-
zE)s5TOgz{QiypM*PlN@`dp`HT**#Ch;^7-(9|HQ|`UlGeX>f-)<-t+-s55I#3Ox02
zAmcl1Q8)TIAFgfTRhxx}j{X^V11BeLqnm>l2Ctizz<$Yk8NcCkk+*KYh1oT=OjlvH
z_3q!5aFWQ^bowehU+ntHQ3jt}?=fM7d#ujK)xuvpd1<%8MeW*I)v&nlo~mu|^gy9l
z6a10g#$*?q7LqUD2#=@U;p2fl^f+tUVW;mEl|nF^4r@m%taqW+eJ>pN<(7UAJey-u
zDFF+(>$-HpYp2}YkHhK{1%C&KFW2&(B>wLiV?W&WX{1j9W-Xxz9fQlC9&%TM2VajT
zj=&B-v}Dxb6XA+NQ?RU6VxKnL-7X|P3HMx{)zyWS<NM^+;E^7M-&f%Roww)yz}>EP
z1x9eW%+_|QOw9Mb`k-q8FUkD;Mgb=rSl)UA4jfdp*aY+HD?NP-Q@*>KObN4udh7bZ
zyz$L@>0z3(eNUs|;fV9fw6N%wvaNA&!rLWH4%qI>wt^IRyYwr=ZSYul!J!PeW%2wC
zAy~eTwKWG`n%r<_H@thbO#Ka<B9rn^9RBYl@AO;PCPORq2+XL|WAPql44R5ngu{I0
z>1$vIyZ<s3;CHt+dey_feu@@o!+QC*gj(R4Q!O9P!#a;tlG<VQi>A%jVcO~fg<iOm
zpSs@&-q9gM(GMTYIb&=I+c!iejl!3zN9@hviXukCad<n^{$*RZ=(;<_4E)Wie1i>~
z5q#Tq4o;y`XK{zKB!BMw1CMup<#vPn)u$u>!q(Kr!htX^&DdAQ54he1_R4;6QpoBB
z7TCRcK{E#KOmto5fG=j>HjIYNSs3%T!-FMxBT4YS_JE6gu)@f}`2?7oUtp^MESO{C
zk^xt_?bSUDzj&z|kpf4|S8qKE=NN@^Wy97_R12ix&yrNanQ+d)q=PIhkS6=`4NSe?
zewz|pTbovr3m0AGY*U7fW(QBcg*^=uZl8l6UslpAf^+T89M*)*<nDKr!&8FoZMrc1
zLf`OvIA)ty$R&7x*fz^rSjm0!k!$do5Ig5;*!gVr>~%PMGHvY>{N(2O&>OJwk-zkf
zunH%mrWHJL`fzYNT=66NmjgWC{V={2rgyrO;|MpsC=}>{N7ue<y1{3?XbyM7m1fz@
z?(kJsiNYcHZ_<fZ-msRqd-VX!P}eHr2Ww~#HP6D^DJ?&Rz_vdH`lsOwrIJs=;EVUQ
zjhEr#7oYdXz`aHx_KWZ<N7sya_>td~D{U73zY(We8ocM5pdStV!gii61Ma({wV4SP
z-5mNn2mZ$8y^8^UzGiQp3s+d@K4XI&HMeXkh6VHnU$Me_@Ao|_ffJ~YzT<~Wn>~d-
zzzoI)^}O)k%{C*|aN0YsbHZ@jwr$>@U<;EMSN6aX6HAmWu<DK#Gf9~H@>!)p*yZ-&
zhezRd2^H#Zu;IUp8)e}O`tvCh@Q#Pp?9%Y}ZFAQrVa~eXm{V}By~-2TYJ7hzRSq48
zB@XMUvcYbtLuLx_p!a;U7@QbX9xnygP_YFbfq%L72$1#<N+}%FU?#K3v*iDs&J+<-
zhwqu>v?{^BDYmg2!-2g@YjSXs(V2D=m|;ra<1~EeW0U?vc-SkvNFILmpMIw|d^oqD
z@;rQs`JYQ5Tv&AHvj*H5rz#N)&ujW#(1SM`hTctp1z4!;b>QtBW0Fa5N#N$CEAYVK
zmR&_~2eTlLF7cH^y~VIp!od_nc<?~GTLtXV)0JxgKj^S_u7g8NR;%4%KZ#x2Kf_n7
z;@aHct-OCC+Tcaw7kz=Sn)^$M9{9qb@}xhU8?)JA5SH=Pxtj(Do^0Iu9S%(W;gbTF
z-Z<Sh0qeR=F=mtYA7~wa!DZj>b7jKYZqm;!z+#aeyG!84iceu{@HTs<!*AhVTKy~(
zHTe85W|a8|x2C1Nrh~U_3{$O#bEA*iZ-Uzogfz9l5=sBIu)^XsTY8(}^d7<Bt*{p-
z<JcgqHMk(Q6IR>(c)lN=+7mdt3vSbR=rRrmP#rib3UB4G2^)rYJ2cN7fYbMybN+-k
zt0smYgLjQ|2>yWiqLsBJ;j6Dcy_kbz`L{31!L4}`MYHfhtq*Tb!WGg7WPig_$8Iib
z!paK^x{GjEAa{WlEOKq4_b)t<UH$tS{Cg~Z`TzAR8KjNiy8>CaexdwOdUvlm96nC@
zU<Tf{k(=8L-uZa*>KN?BG+t&6$DFvnaTH#CD@<txi=481*b6t>y;5|AvtBdAcflrn
z(_VMr)fukspW*tJ%sn3PdWNx36HM7WZs88=sW~K7!&3=~^gi&X#iEy0r2fR$GhVRB
zY8^5z;`i{elR@Edv5uNzA^h>7)8|n5OX%gYmvGs-z^$k7vV3G?7QC|h>rgDb>wwq!
zd{{yxsWlmv7c9B@1|Flm9g+&qH)afz<KLLreIy%ZXX=?PhQm_Ue!YY*+SWK$!g^9U
zVFj?`%DiVeT+*oe`5m0L_KNi@{3wIwRuwEE*u_oGpGITiP&Lf9qdb}P59i}t?7eV%
z-Hwl>zLpk!M;{#DOrc5o1K;kc%WH7urIU|(;JlSdu77ZFEdQnvxYb7gDpM`)*AHO<
za=hadH+orM|Az7X<o<<P3Et;~Z!ZiVC-;wi@UScw>|<8(ei^>EKGV+!Yj+oYB>h8H
zhTT9Aeo|rAL7R=wd%doI`{7F&*T2!gOAi>_4#8al96z_gBGIkfl5p~U>fdZ|MAxsr
z<M6c;y>2_<hUB;IC*h6Xs{FX%iw86RoPq5G8q&|gDLcJmwPBO-jJz}O(~t=+T~gmg
z^ZgZA*R{UnD%_bP{81kk?mI4h9nNU`)P57bP{rM62`jrN4OzkhTVgL;!(zu2Chx-U
z7rg%7hT|@<thm57Dh(x0FvXF9dmiwg-u$cgVZN9QUw1fv^ZKp_aMNKY=Ev}Uy`N=1
zaK^CI4sUqnhLpQ694$_l7zkf96Xpwng$~wc`NNWz?hS^*m!(6+BH%l8)}Bw{7`L-0
z!eFPbA5O-?jEWppF>pek-OWnaRltKP6jqGcm{ksM^?v8(3mcs8m}!Q+{MY~Uf<JGu
zIMf6i?v>u+23uC1ZtZ{%igt0k!U?Y_!atMtJ$}L0;7c<d;$86TdqQ!BaIuSp(-+u!
z{Tin(d?SYL?I^sY6eOk%m#4Vi8HW#S*DAP7%6F;nn1SiGeyh9$SH``&v;b#X3Z8d>
zSsvbuqprhv#@nMeY+>W7nJXJ$o-^~)&ag^c-9JY7uiEWZN4T`~{Cj42B0}uJeRy1M
z0~I%%uP78v?pLwDqry&jF8RjRTky$esv`n0^WOnpJJ?62Xg5C`SiU>f9G<rKsS$=f
z86z`H;g^>dX!pXWkM;@}z)LURXB>ogIGi~|&ga;O@PsJ5dp$T)3$BuQvtJh0cwqYB
z9IRl!-C7zhRLYW5hW%{2m`}l+k6G0f;ix4UjgxSBu3oJ)+_ZIh_B6~e{<iHnY&UU9
zOa)%PO{F0QPc>EEz6gsCmzayf^Xa_#I`E?x8-{novbN0^ufX?)4QBY^?-3%A`Y_|>
z^c&>;67|XLt0i3Z=<GvwxN@bP%K|Q#i2TO{mnv{wb%xnJ4sp=KPPeS$9bp@ud!dx@
zMypNoZZMN|Rs1^M-|iEa9=O8Ewwt-g`=5h)j_)C?@=9BXy#F<u<ga_cyEzh*$oJ1L
zx^`+`_@mlTHu?T(`E2{h3+A)Co6-&25B(7gfY)vozv_fHB#e#uz(qRo{O{o$S+mDM
z@aR;}0rGu2TSK$SAMX9<AV|KC%VqAp2!rK}a>Sm)X-^w|guou*t67O~>LFSGXn6Je
zk>YsxMz3#UBz(u?!O{QV*wAI`1emctUp^dG_E&fr2iI0pl{|r8UeDA>g`FwH>wIB_
z7Yjkj@QrJpr##@8`W?65!mWxl7OrsBmEI#Iu(?Uz&xdfuy9B3?aK`u|%>%gYzpjFM
z*yNVV183N2W6<v|c%8#F$^m}!z4CY`yu0@k+fDeK6K799ESUR^#}bZ7QQOf6`*n-Q
z7?Ji`F(o5#MUqPTRrqVu$F*;;(SaELi}0UVj`$yN%f#~o<oDNIbLIZ;@XN1%pPzxh
zT?lZWg)jMTDo}+V+Pp2Bh8_A1#7@G;-PVkjV1ox{vgG$6<;b3-1vu~cyP{+8MmAH0
zHF&V8`~&%YyILFQ`3JWBxlMjQtjAF+Kvj?5-?ur{_rb1QGsYBf){=ECAAH1*f5S%D
z?3Q&K5A5G_T8S3Ep;vW|1AcbXd5j6Rt1Z*t21_!;3Nga3SlPcY5_e2l?0}sYXr?#9
zrgxd1Z-)h3u2@pQI(diG_~5C@bB_P;{LrMkm0kee6t?u6JU@KAaDVDJ>?x49ixM{L
z3Ko@wS=N}NS5QCnZ=J0Q+&B06)dHMydFh}6{JmqCpFIDpiP5&G!m{@(4v^=cl4ILg
zPs4Y&?0WGT_7&xQtpUrtT+VNTiyw&2orPbeX^Yjsr#U5$8o<)S|4vuJkFKfZU4ogu
z6v>h2!H>nt7p}qF>V9W(VDpu85r(jg{di3peAHg~m^obeHNTZSe`^0zcQS?9P1w%G
z!kLkB9M<sGivCMaVI2oW-J5X2OPP)kSWuHY`YzmMUH>xxo)+Woc7Z#?_gZ+t-}olE
z9>ZbI>FyqI|E4j0Z<w`<Zq)@|VoZyTfQ|cIwm8CW55jha!iq`Kn@r%Ez#FB}q<n2=
zD;W=X*{tan4hLwm`J9GVtaoz9!VRi5p~~<p{$1QY@ZoOp%YztC(H(bjbBF&8x@dfZ
z5AYYek=Iu>JtR{O$Jz1r*}-h(yTr(Nl=^7OE(>^VsWqC6mp$IF!_5dTE};!1<7wyj
zA2^{yd|PYE09Jch9H$N!Ji0ez2uJPR#ZB%fXCrslIXIC0$$L%srrFZ4I$X7?TSm%1
ztVy=)gEt&0G&~RQqi5;c3-j)pOd$9B;0+@^UU<*48lMepB^d3)2}|lZT(g2_EPhh4
zz<-!NP~L{ci*uQo;r5023P;#G(IAW+9;O>mAlK`}`_q-Ad}nGM)qimAz^pO{>=M*!
z@)17EVIQ>#mR)U0sfTqNn%F4elQLSPU9e8c(muT7<@Xk!Htm2X1@icQ!sX-c8~R|C
z#Z#g`;HX1RUfpn^0_E;*xK1)va0uSp7kID}?k<fK{0cL<)9oVT#|kV()ufy$Abc+w
zKjsX5yMeSn6J#1f#>>^m>rw|{&at^zZ+Oz=Ybq&^Q@QSE0(a4TRU++|SZ5-x!*!pR
zmB{fe^7S9e!zu5+kCJlj`LVzgFy93}A<}-dAbpt)&NxL;LyjLPdz6~Ym)xE;QT_sZ
z2rK=6ekwTTz!*6{mZsJ@GJkXN{6#Zzd`DT2iI4F77Y^EQ@S#k`MKb?Xq$lUy4{xJ*
zH(3Oa6|D%4!E479mkVI0a0asx_@jT!t(R~Nd-;Z+aB(5u{Ve#=$rhy_@O}F`zmwsV
z(Fdcy;9J3KG|%8E!(hQ#c>hbC2hp(0g%Oi=n0j6_G6L@HoKE=*kEp)b5&+YTh>tKf
z;P+o%l&~)xZX>;$0Zvk!N8C<){(O~J5QAqU==z;tfhY;jgK%TN=_MO@qw3{~6Y%6Y
zKD!%mF!NbTS$N^|gUM@fmTY&TBAn>oy+r0iKWo(wD!^&Cj^EOS>kT@4-C+iuyNxPv
zx(8*P2fS3pc3u;fdAZsX3>*2lnybTmmPKPjVauK^KXu?^bD7dlVO4hdWi5E;_TkkS
zI8We<>t)zert8jI_}z?AhBlna&Mj2}M;x2qe+6#L+IHt7+?vUAN)JYSh~uB&%r7~$
zM(~x}mtA_{{kuN)k@|0<awYrWzap2ellfbVYX`bU;VXNMtjYXqo3U@yIDBvR=Pxq<
z8q`ZCIRoE4HnT?NPq&nsugt=ug?Bw}!Of%Nkt?u=ii<y)kF`rt*ZTt>@uXtC1B<vd
zEmM9(f4#iA!x^64E?Gnk8)-aBbcd6lz0+lYMQ*udy1^m4_Hi=7W;_&!yx|Yahjn+t
z0vtU`p73<!a}I9!NQO~^A8b5vpimIzbyMkh3|E@JaNYx3)PB4a0`ppmaU6ulN3%_W
z;KJ(M&O@Yp;?P7SyzC_9ED773XI>!v>r-x-gcK~m9PAPgPi;}_JP8+;Sv-t|>Gror
zo`Ms^C+JdPDp@0mGjP$N(k-Mvn;e~4R);?t%0y<u;*0kpbzsXBhG);=(FPX1i*UBT
zuh47Q&#5Qx34G>Hg?$PfnsaEu7ryshbt(q778E-Y4HrI0ql$t*ntR-egab1U-Y4f%
zwzA5a02i!uJtpr5pZur6F|cC7r29QsijV0~GW@7G)bB2QGduGossBhR)q~v6+4*hf
z(&1iVHGeX{9<GtsNb0M`TzPmAUa@1h%7jZ**8@m@<%rGuLFxx4vU;6@ZKIg|a$vsg
zuY*p)oDEm%v*BO1(hSF8mG8M0`J}wBYnudYdE;OD8<-*LddLCzfOgziCERv5ENvgW
z-ajH(0qfgx^Yg>e&kt1B!E+<I`^kETUtYIqYT;;E*$fUis&-A`3#=ffU&;o*&6f3S
zhrO!CBpKil^##L8STV*~Zv!l}v_D}2E|;NgU&DHhD@UUGR^a{b*T1j8A!8qRF2m~4
zK_;`XRnO|XfAEE?bhc#u$N2%#)ipRGF7n4H%(JBTl%^5S<GPHC!*K4gcbt@P#D3AA
zt#Iq!{=$uL!K;KNlF!-OlzEvJ&QU&es}4@Pv;RM4II1k+UJX1c@?<LmEUQrAkPqM4
zk@RK@{K)IT{Wq|df|xxMymfhCHX3fMk!INjtA9PSO4b|gw)*^OGkmmp)tao&dFj<`
z#Q|T@GIJs8ZKP?BPO`yC@4akq!e4o|*6o8OHoOTmh4W`l&<VqJA&T?{@TXzg5jnW;
z)_GxF__edJzzO&T^JvOBxQ$iM)d8js`SMd9w$L<vYY)4I+FD4$rj@dn?!f#j>9<IJ
z;w@ULQO<Cd!O3Z|9_;kkP6>Bdr^snVgp}6`Ik~}09xS&7U>~=|tzK|qi^6?A*dgby
z_Cxsmdhc&ec;DmNIX`&)6eA4>%+5DCP0HU5In0s#s+y{40Z(9^*k@}bzxg4_u{uxq
zo>sgW$v3-X8Dvh{N9ldCBl+W%7|V8(|M#Xmd^ig}(0--LA7(eNoO%I=#92|1<IM=^
zTRww-`)o)Gg)J)|IgotBNjd^NL9ky`-VKtE*I`Fq>3?wPzuwzqJzyz!<yttrX`AEh
zBbY<K>v#$*I{A*q1CF;Ca(M=GOJ8{40`KcH<9GpcWIFgc!5d|5E@r^=hD@|J@ZR?6
zg&cU_hrKLhJ>oU5g(ELv!QRRzB%kVbIlI<;*ydPI#5MTM$=j@X#IGG$FTr%&lR59;
zVag{vbm5J+rlyPG@gc!TvOaRv&M=??4iu71QimnAuQR-dS7mIXq~X2;jnAuLXZ8Ef
zj>9~qjo+)_VbAT{Vz3c^gkT#ymU-|nS?_tUB-o?{p4-uwy&LBDymW6F?(3`?;DRfa
zY-E4K;nD&o0`U5E-n$z=;q#t{+Jy&hR+W{ehi6TV*2wzO$=e}8a<Io{yOX57TB<>l
zES#FiSxVNkYV4S&KMVgWef^mUey;mg^$h&&@fGzAaDe6dxE9<HyZa(FoWJ}*=saBV
zv8m+`*3&BQ-%zawvvh>@tibY&_0+mBy~PRLS@@wb&9kedy&1)|X*jJ+<LV{2erdg}
z9hTkj@~H*<>4Mw%XV~zTO}80*IC-ye9W3-S(%A;4)B9#c^2Hv?yjWlbJ8la6UJAcg
zan-pESG`f3dk5#~Nrv5mCF*Cb-@vq=L#=(`2|9`=*>G{XN|p~ixc?<>DzUzyS`b`H
zsmqcKTRqz18vvL1ZSa2zyF?wUj)m3a&L)uc%*jn7)G;s{)nBea_|3szNzdS>p_twN
z@Q2PbJPGid($yWV@IH3U(lofnB1-TMyzTMYY6{%%aXQHkHkw$C&VnEEe|upAn`ftW
zy?_%FLWM}ar5Ld!r`PbHxbPtpxJpGW{}oKb@ip@@JUlI@T?F?%v(6{+e#CUgLkeK(
z@7!V}evblQ*TMI&n`Mra23*qPW>W$`-*T-$8Lq0cWc&cv_)eFRcs*7fOlK<Lx&IQS
zNxUBG(S`5z@Ed9oB@&-XT`_V`9XxuwuUrgPb-q*G44>;XX*dY)v@cO;gl9K5RB*#(
z9{&xt!A-InA4xu^qMZ^vt+31nDwVCUnI>atH{7uIktT`XlPa6J+6f=mk!aimUk`VU
z9)O*#3p(iFpKY97eemd-<@t52cP~9V;y4QTFpTMw_*78??s>zo>U#8-1=#bRveqR0
zo0@HK4$d_i44!~ZFV|is>*ou3pB?xGH(!u7{SI3Rwr5Vk-TG-)$ohMossPnRxRIC3
ztOMQ<TUJBrOVK|x_y7-a*qi)@i((ecD&dF^&xS~SH%o)7xv(R*y8B-^u%^*G2R@eI
zwnpk_xriIa!y=vBPbr)5{FU^~A{MUCFX&oFxwW9~NEl4bs_jIF@_|zoQ)K_Zc7=(&
z4e+vvlcg{GwETe<6D%d)cgqL9WSH5!3HCHox#0wFDUq^fg|8`RIoyWJgqt%r!y%8Z
z&5->IP0uf>a=;q;RV$V-&5fTv+hF@Om)qB1E2dk5yI}gdPB%l?uOZ^ucG&#-DMyl@
zPhFi&o)1p{op4_rKCYT_p9k*yb>R<*cW6AlbLSqI!aawY#3%eNo24%Z@9!~nC-I5y
z)AFwDhmTz?c}(IHC1zwF6M@fhJJ1}2)53SQABImx)-aL%N;iEowur%67@j8knMR|w
zypn_u?rRDq`#H1*W2cY7`(Ar7ll>ksFHMD&;U6(O`Pku4)RX3laHc^=EEC*0k@id*
zj(514L-zOBaql&`0H35yIkE-*KIcto0H;n4$*{m1X_%_6!r{k+DmdZpdtQ=muyw)w
zC@DV>@ao+I_`AyOX|kW>`*GGwkKrKo*kvC0(TyxFKR9M<k1N^F^2FQrLNuJ!x+{>J
zPiof|ju?20oBkGZzPk*?XL8{Wn-WAxek+?3k40a>^g|}k$$lo!q;Cy{aQEliuXn;V
zZAUg0z&jbG4{U{H^nKGxVVXG=335Iz16?EUV5Jb|H{^UT_zHVg!KbV_OX%Q$YtH2r
z@I$)+39_H5<3N=`J)Ed8CQtUCvFLA(t%ZA@XO}F%uaaZFe1U`YbDL)2!+qbjcECBS
zchty!rr=8guY2LMU!AnaV1Y4<*{|@80l8+fpK1R;_PSrN+k3trB;S>tjt=cCY}@wJ
zv>E35?vuO>kM;N1e1ac_R1Gb{9lGg1Nc^en({uO#!XB5x<}2YB-R7&mVbi32lVrb=
zeEXMHmS*hVyxF@U3od0!4c`K<-DmbA`LO)&pG%X3$K9j~Uch%2L;1yFp_BdD(J;m1
z=Vdam_4xCGNVwu#!(S<wVZrrq5Zn>f`&0o=3s#g4fS3Juamc|#>)#LGgW37_<SD~-
z7CF*);kuvZhfcxNCE7>GengsUmY>vMnO__-=5SR(qmL3y6&;Xs7Jge@x%({aZ>L#w
z22S`ieEkf(Q;Gj5iJz)M(Xp;Y>a%^5ISI#KUXVQx`<%%ul7v@t2fymUZJX^Yj=_vE
zA7b@k9m;qmIe4YV*TEjH3VdsL92VSnN8ABE<v%h^j;9!+Y3m864@xY`!dh?jvmd}B
zL7VNx;s2`T)gHri@_BcTz{eF-AA7@(wEP$M!3XU32?oM#zeWG;g{@AC8T-TPcC>eS
zVfJt)ig0)<bE+pdJXg5oL@4b0-R<8tSogq>uhDSBz3p^c;jYvv&L~*&-JB-_yee0o
zp8)?+dh%owEW}Vb9|vFmZbC;1Gt>tKr^3mWe>SgUf9mLXP*XBYXV?B@307j`-S`G(
zd$1Tg2lvx)KFWb>0yD#hU;(jC-a<HKULtM)-t)I9medy<n+k7&nQ6U`zk?$=T;dvG
z@8@p$r2g=fXv901Cv?A789X(aA6E<~KHL*r3jd=F*-rLPa|gHVuZH87w(*nw)3zNA
zH>%(iyI*l>@RtpCbRXe?%MNK|zxHapxl%p+<+uhv+0T7`p6=UcID1FaKC-`GbMP-u
zGaO^^B8|ioh|-HL`2sT?6UqsKoudQ(w8Jw!R3apv!QbP>M@HcMr?b)|p2BOt4Et|z
z*xjbWyYT#LN#-B$l#zV73mmB{r2ZX#m%=S$2X`jtexHFWJOUJLVB6R@p=tP`uvIzP
zPoK-UyJ`_W_P4Xn7*@E%Ot}D0Y%EkH`}O^&g5p+T^){Zfm*5?NE<L~D8HM#aP1sI(
z(V6ly=3{A0Tgd)rYU$qmb(AM`DxM|rPRu!UwCGT77nFWM5vDOZ9=rjbukmS-hV^b)
z#EZapo#a-<VAJ&zy~41}4FP9ic&aMRMGRICwR7JC^QF2L9E2%;=&W+XRRR5467biJ
z3DhM12!B;>usHnS!$bG2@Nn~HQCWEJ*M|S+17mQ_%Qy~;q=&mxqMX};Ug;!U=G*PF
zj`%cXlP}9j{j*ZZ?$hwm;<YPEaMQ%7&reusN7K_&@a)e9>JfN~kwfAPd?t*Z@f#e;
zTJ%~4mY!*+Zh_woubk6>A79_X*bM7?*ZH4?b>A)f)W8+@XoN4oUV?{%KfqZIt!CP=
z+&2!!5?C*A6ZK_S^OVL`67MIXyF>mGyl5;QoD2JNZtOFHr`}mc<-mMJtz3q%tGwpc
zbU1ZPMB4^tU4OYd88&G$-)0AEHq~Tg!gV($C%j=gBk_t<*eCyR)?@gMl$z2@xHbLi
z>0sE&!|ZGpe75NYeJK2i?QTmR>@aX(AOlX_mp?)3Z=3GgnGRQRrI@C{)9(L@Ucy5o
zudGwx>;0NXGvQjUAk#2-Qq$)1Yk2ePXzLKTGLfA*7w%ksJn<Ngk~sLH2p0AZ{^bq(
zaNZZphxN>DCmdm+;J}I!xU2H^FA{%AiBEj}Ev#_W#G1rImoJr%sf1f!nK_d9PJf<_
zc9p|IuP**Ff`gy@V)+bfnVhF2@uloNL(Vn9WpN5_Ixur{$d3-#XkE%n3s(KtY}yL9
z*6wm6@!$JI>L|a$#Y=2nB>ubh&J#E4U}b09D?boVEcE90q)u3P-pFbU7H19~Ajcah
z)cD>9TLl`r_QChuPR;hf?Oq#-dtjEd!&YsulSK6F4>(bt<sONrZ!9l$U;<W1rdT2I
z_FL@#)z8B6E<e^kz<aWc{O4dtx!(^-ynX3UKdLBO@cvFL3#*4kg)Vqg!wsh!Ia=Y5
z+jj6X!2azSJfC46HNO!?IOS+wau?h^a{j?qSf0T@^9y_@R(b;`ELxZFW*iO>+?d1z
zTe01GHwq7DcpCG;a&~v+reVrEyJ8N(7Nx8j<a)5|NHjPM-(BTsn}a)9q$5tk+Pv}K
zNPUdAwaUSHfzemV^$LG?$3_L7%Fs0%foZ-^XDY!muG-(o^|~eJFsuXXlvV%gg!A2o
zd9~q>A1kfN_3EKaEYXK^7M&c)^*9*8{6`OFGrRqZTrcOeVGC#2C6|wd#E)y>@f5iO
zZ}`p|UJb7nsXdK^dnWx~lk&Zt%U7b|xr>jFk?T*vc_};t9=?^TMDi(o&|%hn0aKO5
z*EhhS8@cyYz<T}r2Fd?pO7H(!3G<8dnUL4Bm=O550d~!dz4;No_P(LI4yF-FA1B9C
zI9nSv0C#lK{40UKNv(GD!Soiack|#MXX5Qg;polo9<Sk<z|Sv-;Yw=%za(FW>jxXP
zNz(q=5)Fy}H*qDwX98aML+wH0`TZ-96!--{3Ay<=4i*)OikpHjM|wZ-hg;2rk1xXQ
ztCK!{@O0=G#%}n`v5?bLa5vrIj6wJuAB83b{9KgQs0R-Dw)Mjp^3jZ)ytw)euCw?2
zI09Sk9(5$=bFV0<isY~9;u2*YhvT=cHnhMj-S3`|*Docvv5Mrsd7rx~L|(u04f}@o
z@ar>vNu++A)BVb9IES`UW(NLXJ6fL!XYP2qK+aE8WJNX<Hg>8BBIjpSXP`v#_o&=t
z{zU4ZSuw8gffHLVQ?JABrvyJggaf|D%m0O+Wbaoe`GLg7%X(;9@q6j=W9>U|qax*Y
zY8dI5n(g2|&(L>=;Aa#!R!v~biHem2Fx7P@=PPiPa!c4T(mt)|zCPTddw}@}?ESvQ
zNfmC56n`!S?`~neuLA2U7>`N9l|I~mPQZTYrXKRJaOh=9S$H}<<oyXaCCkF?C~UC%
z$--GUsI}|KA$Tamv`_=S&d{*=IJ`m0SW6c^e0P<d<WFM0?-g_bF5+MaI{@ojI98j$
z_i0U%_QB(Mp;X53iT>NWNIoYvYOlB(u=Lf~-6X$NbZX*P3;0WPb|MG7&Kc-v2j{Z3
zrf-9>>F>1-ESx(mzy$Ak5q#DO9^>60!T`To$?&@kOYY`Kr-J`0@E5!X_dF4QNdfP@
zoP7N*ym4M-AIVpC@r37J4>(NASZoPikc^ai0LScd%ASI)Puh3*z?&Td^GJR=-q1%|
zyy3;<q(j57>IKo$5wN;R-H8GCQ?ayH7;OHj_btia=5d>zHwM-?Hd#UPw+SEQFo=eg
zsVPp7d~@QPhnCSt%7siAlp0`a-k(Pk;N@`MiVC=0IbW(8-k&5eQV3I|<~moww}WJi
za$r`Qn_E7@@5~OHXTzqp*Zpf@hbR-nSU7jb);-Pep%Z#$PvQRe%qE}UI1l@8A#g<S
zyMOJlInVWpAb6`^o^%_WUE^x%150^a`SKNha>dfh3ubE3X6uI2%pZQg2RGVBo&F9V
zOVwF&fyX=iyvE?DAGWvb;1|J_Zx`XB%SRqq!8<m+TAqiEdNkII;SxFJ&{cRec0cuX
zIF|Wv^KaPvfvWo@QhuY#lClloS5gArx-e^ScG^11Z+OU4X~6lcQYYz9E^~xq(^=Rv
zfdBpm_(uOxFGV=}=nGCJ*yQm>e+BqAZO8=%*fLURqZItAjcs-d9D012SrT?%TiMSF
z+hlEfauBYacB<usYm|pWMB!O4xs%&q9}ix?o$%1*{GOfg;~$g3T(Ckz6z2}o{xv<*
z7Wi}ZrZ@a>GFuxP3w-!{(|#V<X@!MxJr1w8R-#r2*5BK?<uB~(x}8Q4R#aLFT!0@w
zaEsp$n_Cx0%)$Gf81(Fe`KG&Af52_|C60$-Z{}#u@9-dt>&yZ8k4YCxCv45r>U#`k
z*ZGg51MaqcRdW>nBwP^I2n(c8U6X+ivf4jwfIs_{ewBnHS#v{+Va{YaM|t>dtz~o}
zY<PSm_XKP)=esQjwsjU(SB85N<#uMnb|y5wim>)Uqo@>EvrbV!9p3q6OTsgFGb6W=
z8howp$d0FQdBmkZ=V3SVVZJC>-kAROIe0Enkjn?=YLR8W2=_6!@p=)vP5WrUA^Wy%
zzYU8vZ|B#C&zhI>+=3-e|GKINM<)!$Si*<PIer_$1?|4i%;7D;Q{q?QPj;EyhVUQJ
z&7V!-Gx3^&2Jjo5VMY^pU;M2k9oV0fBK;=J`eAE^7A*K*>#!x9yGLTT8hpBig7Xf1
z+S^`C8J09@(s73O?2gEmg}r+QrtibOS48uqVUy}i5jWWT>iI)Q;8)j+svp6bL1V|n
zV2@-^s)z8-Mfx{;;bt?xSU<RcJFZv=?mw`L-3PWgF_yaxW*g&D`wxD6o~n$Ml#2{{
zhr?>$_DFAnRj+mP#=^RbuTIjzJpW=1p2GbTUrPVQ;{A3hWH|}8TD<aM4esw|w~vRF
zjyx}!gz34c8PecRCef-1_}<?SDk<<DU2VA`_&>2w*Eg^=&w2GexN@IHQ7*jx%%!d!
z&f`9$RSXvd&o#BeRJN0Wg)oB)*O>;masKX=CYUG0;pzuCf%8CgBP`<^_w^n8>0YYY
zFr1|KWhx(5aMDa3f_<-1-N=TW$Hu<Q!iJ|RoSwtK7X8^~;0W*OxkPxyM=N^?mY`Jq
z9S>JbFHJ1K2Qr)-|AYUf6+T>p@9k)E4TpD{>X-k4#f8?EpTOa#*!8K}v7R?n^Pexw
zaH;S=3OJj>{jLXGVPJD;Bdl-w`GGqe)xcy;3qO@uUvq*(7t3gw;XmPLsU6|}*#ElI
z!v_O1SB>E}Lh0MLz-@1rDX+t0UllL1zzst}_b<U(tUqQrU|~ADN4oIhPVfEf@Yj$8
z3Jtj6j!?}m_)pF#?OFI!Z#mUY_-6dJhl=pH;gwhc_-wwOuL69BYq5(DzDMV~K?<I!
zdU8t`=HsYmkc8Je_;dEate<}S9E3Yl^G+Xx?{^#v6oqeYR`U{t_s*Ep3&PJgbaIQs
z*JhJg1mK#Q8<&s3_110vT(HgX+=3MR*_=L%6XsfbBz7ELI4!f81wJIV@uNK4EN!=q
z8Me)dqLYJPK6n<g0bb$cNK%INt=b}~;g-SFK1FzWEA7_R7<^vY@i?o)ZoiLk{f1S7
zv)-t|pEsEQHw%|5^PSa#4-bdLPQzbIvwSsS1?_6iF}VHdP60jGU3iLn1pd!5&F~_u
z`j<DR2WGQo{cQkSG%6)^!;iwE#jn7V)OUBaz`mvHO~&xAk1+zxaF(<;!*y8H{BuGL
zEaN|(VhMBYok{%wb6&R^GKU%V?B*|lCA;hH+QLJFa(myxt+eWe)^NZn$CO++<@xW4
zd+@D~&t7H2V$;q-uCR?o_x@CPe0zPFC+v1?@^CUNSD>`^06rwapYs$B-54727?${V
zC_f4=U1MzZh7+$_hy}y19CdC6!fE`sB?95s6`#`m;mRMGZ@ge7i}PP&;63ieWghU2
zkJao?;TVrO={qpfZ^~CmFy+OClg=<_-tC_WuwaSkdmGqtW0qGs9Ok?KgB5JJV^?J=
zY_Dx5ZvuaCd9aWNH&W@V8^ILGKM%cuf73?P>B0d!PZ?LjI#YMswPD_?FA@;UrMyR^
zQ1c9YZn0Ui4%QY<y{HP028uh@zyTkJTIFH3TaM`+@ZO#`{W37Oz?b1RxVZ3_{!!SC
ze-ryK?ENp_>=3+Z(nM<rw)r1N_Z`pG_s0P|D<c|a%B+kelB{GT*@|c&QBo;{6dBoM
zeXWe_nUPsWM#?D3N@XV{8I^>rtl#VW{(L^(_ukLvo_p^7oO{Om!!|c81lzyJD_@6$
z6Hfi(g}r%}XI9}|@el5Bz&{sRYgxN6zq{aXz&2Py-1Hwa{IW)tnjSVhekxoUJ`olz
zxEhc88o_O-0(&~?<k29m`F>IF8r=Ta^Yt>~&yR73UV-K2+Eiv?!QqwK+i-sFitZF#
zbc1X87W`np_S;c-NnlFU2Oj6N?iz+4HPKsn!6$mF_4{E_k4cI^c(;-I*<RRzk>AA+
zzAiF$vI%y{TVW1`FS**Ceg$*Ju$>Hs75{tLSpzQ{{~C*g<9pS5s$f|+F7q(>^{KIr
zT)0B$=VA=3Wpkq|8$NGJDHRRJe5}?_f$PLu+Y({F@grxGV9MIB^a*hA)6fqO;GY?J
zG<C3o{^0K*xcE#~b3JTic;6ukRy_7Ks*mh{t;#zTb~-tBb^sQ0ytFX}R(Kz7K+%o&
z1<oz}A@DIjm#}rjwUlop`M|aR_6yS@PJOsM-3!jz$bOjymTF|?y$e%kG_Ekh9u>xW
zoZxq~k7YN(x3elzZDGz9!%k-SOyo+IHS9OUtGNZvtuIeDf%60FzOuv19!nWU@T^ye
z5eu9U@ib8bre_hH*#TeV{hOu+r<F2@al#g-^m!EF_TYnN!tjF68{xySg&K2$ARIm|
zm?Z(<3rUp}gRexJ=83}`srPP*!qr!51cl)9U&B)6;rore61!o>%~qe}VCQ!p1v}uR
z%QqCy!H$7D>zUznnG{N6m~q#$<2&J)&AbU0VW04iTAc7jOD((WFmrtGr(>{wlV#dn
zIM8KvR0%HllW*w?rwlx}PR?)CResGI-j|ztlboONy?}aO_|Qw~*%NSc@w?Mc;NuoT
z+sN@+#Ox!A;qRwoLdp5Q4*a|K8LZ6_5Gf0DU5v6UhbwI6Hy?o4hqtXghi8RHSj6Cb
zmLj<tSooVkxB$GZHT8N6yvI%;o*!0YmwVI<^I68Qlk;iS$ye-z$E96%a=_RAsJL{%
zMPWZ<H^alaCCokWS(Da8M)-%8+KDcBf<uv$8otm`H2Mj47~IK22?w+Fn)bm9dF$-c
z57FNAlAHemn;sq5IR!W6U$hy7+5XhBeuit-t7yKH_}MtlPjJQ7Z*E`VqhqejE$~L|
zLu?bUEw2GbGn{d^NpB3sqRpt6Fx>#l#BVtF*u%J5IKWrd{3m?G%{`(3Hg9uVoPkw6
zPR2ZjFP~4lIR($fNruJ4bs>Ya3-B*%WK4k#C@4K<;gYLkApx+z`$Khx9@PIAstI1O
zjnq~~M)>uecRWGx$vTxx7P!73V)uP`%~gIs2b{(FNaP{hG3oG%2Y&SOqIfKv_UCUP
zAAH2_$CDKJ6`j~FVd86P6-lu3Na^Ta_(7Yn{3CeV8(|JPILbLtH64DfsgZgFb_k8q
zehRl3`pc@q7FI{}N?^t6ovX*;UsEqWRKkANCega^M~=(A74YxJb4DlOZHA+G2|)ib
zmCVc;c(TdQoRnW;+Z|V9I8-*^Y6m=7NRe*^uZvdLk?V2#Zl2u@SSv{C?*}+*a>*(J
zPEP*L@D|qkuACJHw>sVksDp1^D(gyy?;2Q!KZkESE^JMLlP>>aEQ8gVL~}FA{$`iA
zk@JziYdw+<Km7PJG!JH!OLWVF8=B1{bKu3b{)!wpDt&x&D%|p&Mz0wD6JgAf4DWd1
z^*SG(iM`Gk3cH48UMPiA&h>8%hQFnLefR`!_q!D84I9L)OH{!{${i7&a3htx%`>>X
z^Xz74ScA`y<|W+bU&nk0excFqS_4b0zTadC&+7EEG{TR34sW%9*JxQ!*29!m4I##`
zp(Ni}Gh99)6mbqN<74<p;t|GLKGN{+GFt1m@ThTNz#+Kxk4p9%c(y>AS`>E3msffR
zhvmf5iNId=#bvD|o}NR&32$dh)BOl9*wSv~fG^guHInVMwYIO*!2fjCOnTwkF-IzD
zc;j1{*lzf~$EwG29O{GHPVvuVdyccdOR%`1!Szq@5c8J})3BA;LCO($F;kjm3LY`L
zrZ5bjp?>K#3g5n{(lr4$hO_vOz{bo4+M{qqhM>m>c>Bt|Z<BBqg|km59O(L#=NEjq
zjABDGoEPF*J`4LY=}|Yq5q)E#f8eigELO|lrT6)b3vl5~5k)ENm^!pR2jBT8ckeN*
zTbB~M3P0lU@y><0C*HkZh9!cS)>Gl@5+T>AdU3sT45(7z=%>|L6fn2*XO9@zbhm>7
zJuDEx@B08AT~BeQg=HJ_H-x~VvHDxL!1+DDsDoh6c6V(i*vHn{%L^V35&6anUw13>
z^MGY}PV=z9R8B`JonU|J)v_J1xrgh<+px|bf$8mV%^<ChH7vOH<~|=B`9(3{I&7x;
zr-279N^haM1Xr`|o81rRz7%J?0N-)a6%&OEpFh8U8eTp8{gou#*ZU*H06x4xLvavJ
zlDkW<4WAp1i<5(OPi8P_!aPeAA7tQemV-gcaQ7y)8%pq|Jx2d2!XoY#j}%}-opA<f
z_~JRoE*)6TPn6{#eEECGR&Dskcum+|c(h<k&MBC8TYr=g91tz|O%LAMdwnY}Z2F0h
z*&Jq4N!Y#<elv7X_X0d|Y=1N}yr9D8W&=-7oJ`sbD_+`PaRaUr{KmNver20{;ug%}
zKgCTA*Nx`}+QZ3$KJm-3XpdKTKJ$cW*CNsv;4IyM*?X{8pCIoPTpxYEuo{kbZC4zE
zojdMKRKog6R@L2bg@3DO9qdDQ;>Ab!?9R&S7cljI6Y{OF;XitVCU}1Kt<qa~Wa4k=
zD_DB)N=+S{`bSxy4W3ju{_+JZC@*5(0#65hJyHSZSlKVUhiyk|l*?eDEk*}BVewd_
z=g3v5e9JPSxfi}ODN&aP&scg<_rNO@9SZ3%<4A47XLz$g=FwC*Tq&db6Kv3Ov^ExY
z{XSqb0w3aFt&fK36KivZ;UlvpilK0e)r`^)cv8+wB^bWu`oU!!F1^e9!W*Wxr)2&^
zwy*wK?+KR=e%1L6*Ifuwa)u8qZyK3{_aqn`y92M(Pw@POFQ?DEuz`)}wv;c!nSIY1
zZosPhe*Rg4vsBM1TfqCRMR@7^FyE@RU)>CDdQ4$V3wt`aHlBgcX78Nd4DV`?d1DCk
zs7&u;f`?msRdryODNbW9I6gpKM+0Wa{_$W3e4%yXjS@U?ZfV~x*hM<ARRPYq@#YF2
z{O_}(rW9;<{QasBOsD!=M-ujUnj$L*tLQ~Ei@;{wIaj3M8OhOig0M-BU792;<r<{R
z1OF7W?off{5<3ldz@y#b3`b!v9;eQ2u<4vong%>j&DOOAezG_*pay?StJbH5cdyr`
zn!-D~z0Xs?I$xa!OknqRk-o(k)W26!sSdEr+s<z@aF_pBza6~v(bfD1yhk%6B>=u2
zM|ooeJ~JWJ?*~Vf6^;$Sc7gTDiSTb_wwW%thwgG;JRE4(VA}=@q|wpl!Igcfx0~TC
z$761fU|;!l+h_2|AR|j59Q4u3p&Z_4m#do(Uliw@Du6>MY)78L;SHWMkKub$bi7Ys
zKJNoJGhpi6H)WNu5B>)=4c^qfB2o^!4gb9n4(H!3t$PmJs-C_1ADj^}E?osboGZWP
z4%_p_wbjA=A{^GPFrA?U-Ag!Cv}xP{E{f(1pM(u9YgVqn)Ll`hr{Mq2(0bm4^~7X<
z&BIduIzBeA-SLW&Mfj3v%*H#guwCZuE&X_ZWz^Yf2X7b<livovdKMYw43~4=xyA>3
zuFgMngas!~4|2g9!>pq$;P{q622og`uJNH6{Fm0kLl}PYRX*wj9M1li?EvgMWD%nS
zmnpUdk?keF^oPmA<uYgZ55Yaf8=~ak4S9b(_QK7hW*!^ivE3dM{BR__lp7ta`gAgm
ze7-sL`I+C*IDZ{aN;Y`1QDo{5{8re<iF|(#ftc|jcsgUpS9<uEiP`tB@SD0xmsOnq
z4yI!#9>EV|l(x|z{;$eIKNGgTH~n%Q@e4nqnu6ejOSvMXysnfRHip2G+FRJB;nas)
zE3U(;A@A=^z{a9)pIXByG-g)A@cbRuM_RB;#{Lieu+zK!89MOdUmuMgczmmOqC9-n
z@$8ch_{)&kLk0Luc9l>oJeuwiDGD3YMMX5im&XLd#NaqCDq2z>DEB+w=Y}QCzSxoa
zMLWjk#|sNFB|ol!sc5PxIN;V<H@0H<%cgT{+u;+jRKcYF9#TwMpoK%s#{Oo)*;Uei
z>0zeR#o`$-bw{rq1#DIq{V)MO8+XHo3jQ2w@$n(taFOxHzXy0<O4d@0gcqISM_1s?
zd(%(<gB2<IhJM0@c7xpH{@fXQ@zW&i?OT41+@H%j>*v11k9TC&yTdO9d`^$SRy5wL
zu5ejA@B7binUeigN7(XZa{Cwf^m*Aqa{mveer)Q1b(}@jtzh*dCmK6pfjl<vtMHrb
zG393X0nf|}J@`c1VQI3xR{H3_6L6$b=abj4M`uC$0l01R`OJ1Wain-q46ZHy%}3&{
zG9Ej(!?g83*;?VE_@oF{m?xECOEs)#7{1I1OGcmG^c-$*rrS*oFJ!X2M8cn1=|flW
zyiX1?y7K_0YqnKffEUvjf4abKN1St}U=JawaW|ORV9tpA9@XWxnOeXPhS<dh;2u`#
zGgsjOMJ=m7_(NXx`wK9~@C}8x@SR2GmP@eF>1^jW@Kfs;bz|7ia)d7rt~F(mCGnc8
zV&`*UIm)O~Blxe6O|J{QJGm>-5{}=xHOUPwqB7yLg*|(=*^~CilZ}Sk9pK+yMN&86
zhmZOb$oKDXPP}yv9;z)1^MsA54$2zC9CnH<fiM$Q1-Agqzx(QZ47@BPYqT5Ii0F0r
z4_>{wyJ08%`hKo$IBda`62J`yPs`54!HKcDuQtLvrDDG)!xgM`fpqY;B4Mj+_{#}5
z(<QWLc@!U;KZbQDe(;m_?dchXk*9DxldTzPpT9A=+EWSp1bp00+TXkRSB&f7fRsyg
zC2*#!|B-jFd^fXd5iAq+^H~$TVd{rrAk36ol1}PZ%xr#m0K90*%uDLm(!c38J6Iql
zcpIr-4f-$WZ^F9`CPGR5N!a9d>nfb-bs_K#+%0QRWC>sTTSfB{UW;YtyZ|%U?V}*y
zr%UE_IC;PH)cv|t3?Fp)@82mnQb}j-3EcSWhO|C>Dlf}E54P!Vymc6!`Os=Xwm(uh
zC_~<VT_$gjJ%h*ncy0^8gP+~{YT>)G;&MXpUV33ua(+8br7>=Yhss_Vw7^RI1@AcF
z{W~0bKEO9*?46eJzJJBtyKw;K&bF6dg$0@=G)Ca~>?hi!|3f@k^1yF+(WX9t^nWby
zdFGS*`#8I<SOq*0M)Q!||H3vmu9v}yswdb;JoEm<)>t?`CX#~0o#bji#=&=w==#mU
zMskzcfpGJLk?Rs%NzFSF0O!OcE&PF3HNNrL!;ZTn#^>QbSNKeC!aMppFO%;h$m~F+
z4@dR~=#lulm(P_>!fy4At>p7Qt=@8zg+Iw$dOi#DufKgJ4Oa>$%8}=nDZlA1arpa7
zheKrhiN$9Z_QSnb9~YDJm#EWuBLJ)Gx<4L;*K7-@_rL~ur9$NSb#_q2mJ6mH^x8$9
zUl%Xt<dOb7$v+jzJ#gD?C05ekCv4~Wun*q+E>~|G>?BvlM(W#xAeAb5xMJhot>k+6
z`0SG02rESn(UJP1wF`e8LHaAZlc*Zu$(K@nE3kiDhX;8+b<uRG%)#IG2D*^vQ=-dB
zk6HL+dgXj6oNM`K{3ra+({{QXz8>}G;yC=_dh0|MTz4s^<qM1%KqKUSE8fXPHw3pz
z<eI0zZ*8pxI$(>0f2T9xarp&~b~x&n!25VOc75Ei0+xTUp*|I+=Jk#!gJ1p@RwVcL
zr1MtUSa{UxnlOpK7k=hQ`hTx4gk;9Tb57m9H{m8Vioi5DY(A{c2Bwzar+G-WXBXQ?
z`n#QOMy`|3yLjW*)yweattGDH`O9%Ir1L!d3llQP^Ec-F$;~Ek-^}5eVEAS8A14EN
zS8MvOP*~*cvr>K7y07+{AKWo$!lMNXZrEiJ0P~azn`pot4M&FV!OFI6jii76pG-oZ
zCv3kXg+d9YdQy7Y8D`!hp2G)Ag;6V!c)9kL?>z9+BRi^{VD1-@!5d)qRpCqzSTV%w
z%^JoBct0QJBk=(NQ<`yj=ePdN?y%bNvnr!7OZ!BSBmCmHm`4Z95qbG8c^*4fNY=E$
z3;}j?_HcuubyzKIU|BG68+LEJ+gbxhAFi;pfuo;{I3&Y@+UvR`KKy1waUy)ukmjv5
zEc@MeFBxANiCxSh=hIAAeua!L)d?^0+rchptTV`Xmz+q=mOJp3)|@Yfu+^)|U~>F_
zqhtQkupX26Epq(S$%BoD;5VOyr~ZF@`QIPN_~z~#eDBEq^xL$zF~L9L*mTJ6PoSiI
z&=AH`y?PA<$@z(lZO|p-x1vQBdET(V)qlM2;o8vRB!77Akl*kJ*et1zKMbaB{m%0o
zPIHdm91VNjzV@{iJ{nsPnFK4c9xp9|j~(psBlW9g?9Frm9DB8%g48dm?5svIp1nNM
z|2GjH|4)K42^L*$up{+p|LjOM8J`!_Y&b*WJFGpvyTL~u<h+l94UGkZFTm{$SDq!n
z{+B!6oQKDcX&fT)srHlvU0B0!vk<B8%9DD1+VGXp$#nAj`0v7raWbFd@!M!Ga=)a|
zhUN*u60ub@<okAy{b1pP8B(a%)8U$Np>BToM*ChL@_TrF)>CN*{Jg`?tpE<xsiEM4
z=Pt%<Aou%YudO#&;p+4KOBL`2Nv-|taHsx;doSUL$cHhTVQRIbPULyxab(j@GT)`&
zJJf?bj~W6_`7*$l)LNap;Ip1VYK*YJe={qC@XB0k5jD)JEjB*{m#I-XY=oc88M=(a
zy;E+g3z(17?^kdA3!XG8+(_o{C|dpa^B1NT+1WP%Z<o~iwg_J;P*3;?E1bM_m9$T9
zcp5U-!VFaMicB!|9eKSPIQJW46*bH&TppYSTkklW#Q;y;ex;iYpR2yUmj!m_5e^K8
zZ$5Ei<%CVt#I+;gPZ#sz_~GUn&C($F^SkVb-LTjOvwvZ5L!lB6X|L1owzaqqC)dk!
zD8YRV?qk95s!b}d9=y`&tLF=k=*4e81^@Rd`2X|2W;<FFjp4&C#-e0?-CA<PX<L}(
zKb7C|Fb~aI-yQg1ro`Dpu=@6n_s+0ghfefC_~NIi6L#=undsHsFk_vtvLlHzZrUpV
zyXIIny1~|e^lATKzF_X6O9XkJ`DPGw{5Q-fC(GmwzbYBkC-XT!6ki+<hO5R7gujO0
z>hHMh12cNebO*u<Ge*Ku@af~{*zUtMw>D*x<FSm{@Lz)e`byk;0P}f%H#3J{T=~32
zj@P)$M?xR&d6x7e4CdZMGkXeF@t(1bgB!Y{8;`;IjG1PMa7P!jKbb$vzWLub@;=7i
z_AY`KE_1o_yb#V1R5Bp*cf+LK9j$=hS#-pWU_SA+r?ym0a1xDc&oF#gXR}8wERyfJ
ztra%DclBx`yr|vsz71x-^7dyd{Lk86{xvMF@bz0eeAl9Cr3uaqP`%azzbiDcB=fP)
zoIPjW2QM$D3zGTT{?s)i<b5*DUMY;s=Wc6l{qzlXVDr->^Sz&aI&kq9Y+1%tSqlG`
zq-gXT?kzHRDTigZW(>~5+gxUc$^7%A=7O$8*!am^OETX)i^AzMJ>GX!u2Q$>!K{HE
z-J4+MEVZzF*y+TGF)J+P+q#em+qO@fVuyu}opd4d-Typ(Y9a&=GPVt;!V^p727BSf
zP^Qdun1PwAR|5Xz<<FP^`<~-^CkeY7y=qH@EkAe}9)W|L<fNlvGiDDRML2S3)iDa*
zP`~|+6x@8vxX=x@e>Y!5-sdSLL?&I}Um>CU$nnx&O#gQtZvQN}iNxcn*z_*I0?tuk
z$KVsi9?#Ce9!qus$I13uX?M@T;d6tVNdJL1Kkcv{eCp;iDm}RRTKMQ$_{8BGY^49g
zCU5KniN6s&&P4hrwi$?blJyCTA>8bKFulh;IUQI@caA9lE_F=%N7gsgKDrng23NlQ
zc}WenFq007fV0_|_GrKvJ2N)N!xb^7LX_dOR>zHr@TjbVt_tzbuR)n`x1+c}Ss$XH
zr{a(YJ5H*p?}tCTmCQeZg|o{!cwl#1sZr8@bfGZo3>Qol+jy}MroaBVmKA>b+ry|B
zmQ#Pf$_(%7VCu?-Ro#xaQ^9ISoEl00(&?K=nJ8i9bxLK@zvMV`n*9^jvv4=5u#^5M
znQDvE{czB)<_PlrE?Y{>ll4W5cXrt2!wU_%QdO|&$E2TRf6wR=n#b^jQb9lYyxH>q
zUgyK&q5I6p_xZY3B}UdidFvFOA?G7=CuZsq?7AX4Pz5WFKR-*>PyKzG|Gowe*nX=o
z9WJ_(H$eK=VjUxoCctq&g+6q^MsDg2$*|u&flpsx^ZE<>V&S28sUL>n$TXIMc$ii-
z`O_>MbmM?~Fnr=sNXr6TU%gQ=6i&LpsJ8+Ag@wVp3(a7~CJ!z~*u2Jk(iG;~vK&hV
zUsA9*eFpAQJsm~^v#4f0Fob(lI~Z1RJo}ruD?0FoH+v}8VQ!s2@??G7KF=igd3b<-
zKI0htR`0hX>5m-c3frX&f2;j;V+=kx_%Mj9|Er=EwwQnemVY)&!}-sXK9lo1a%E9M
z99}aR=_2RnWPH+oKg?HuPQM?HyJ^}d0RPR3*Z2enCFU9Lg<~n6>QBNC6N>Bk;e;nM
z8dGrilHMy}nA@D+g!Hd6Ueef4;;r}1PqDz#A?h~;;SXmizKFv6lO=n2;9t9xdc<Hm
zZ5hrz@T=>eFO&Y_7aO;Galxv+JI-stpXKc-`QT(eaZ3}p_KW8A?eH-ZtMjJtql7t;
z9q@3@>=#S;;`Qc8vL4cEK&1C7T;X!dfEBI_E<0}rYu{3-W`u>xCkz~5`o15oo8g1a
zj=e6h{c`EIjqshHSsiY0RJlne9V~xQ!q5+HrQ~O%fKR)cX$QdCEU#NB;SUBsJHp_{
z8!U3Ov0gKsb^3BP+%q>ao&`TrF!_=USIH*_1i-B>k~NRu{5N7ve(=*z4`oO^bH%&O
z43?*3V#t9PE($P_^|>_dwtgwFOU8@GN^r}OGIMhL{8YQ23UGxy%O|q`*KNtuWc~Bc
zJ?{$0{wZVT66`SJ{k?n1cm&UO%7>d_O}9_HWV~VzP1N>H@UEjF>=CdNznmu({Hj2X
zDGEOGy?dRk-|k=gPDREa)XevF{DB>QN=%dTV0HU+f~+rp!P7V92vcRs@O*}qk1}_W
z@rd0loEJX9$NVhxNck@p^G3gdOKUg}k?{!?C&sP@_}rFjMPz&;rS)=VDg0L2DbXIb
z&NUh#`2tvM8aS-rp3;pvkKs@=)y-u5LNsHsB^5q&e0^F5-p49?IS01a^I0b22_ZDH
znIvDqjAiSc{qWmVha-h>&NW@neQ@Wfog2wl@a#*>@-EmQ{}C(s{Ly|^8h)5YJ;RWE
zzH8Y9&+TxV^v7S7uvm6qAUiA}*da>t6`UN|O|uzpE<G{V4oA~^^3%b8oQ_Jh!F%;v
z6UqIY#D3qBl!w!c^rB_B&DipLFD!pj;Sm`>ux|En{{l;2&MX>-Kb}x_?}M#edJ<p5
z@4g=V-U&b0W)t-W{*%pa*#y(*2suT=UxaqHy?_PjN^N4{>w85*tKf{J`$MGvet(zj
z966t?)y>@=@bC{+sS?<P&rsh99yn@{lnZmUcd6fnXGJd$X2Z90IU7iSyk??zK^!d9
zu%(#%zHLrQn2dony!H24!(FPM=Ir3GMZ4wOur=k=G6%T*qNL|N;;qjoP2j#LT?=1$
zG%dKm6h21JJRSmvMcijQ12Y`5`b@?joRy!SHiX|!WElCwPrp7BI1YQSs;ULS#*gMK
zkHHeL?sZ=9+}Xcv^00tsQ-u%wp6~7nS-AL#R3Z6&)~R(XKLDq(x@3~??{BhMW<R|4
zVI<xH9vWd!5r8KPcSl&lXMb-r=Yw<Ro>P+Xg2@byH{0O>$N5EFcqNxNkOgj#3A%m=
zZVZ;4-UO?f)R;@dH48BkB!9`%;hzKhVMf1_hm<g<A?JH>nEy3v{|4CXfx4~`yuNlo
zh2%rYGq5{G+D9U654}mgly^EwwS4fyrSczBFs*T2=`OfuWcR+`@MgwI@g1;`-Noh4
z@Z5+H7Z1#~QP*t%o=<jRW`gx5Z;p`sEOXJ}bX(w^(t%d>@YNlgdMnZ1lWsju@fN=9
zu=<s>XS*F&kCA*ZA9fUKhQiiTIRkIt$(mFH(w-I+8yO^V(Q|v1t>7#p&)dy##m${s
zSK+FChh!Sz)nbooUD%59ReKApZDsdL8*Y<h=_K(dg0m%i;Ww_)*IHp4!*A6>aLvjY
zktSF`{Mi1@@Sz`Vb?tEOs)P(99BTKL`Zeq_-<tdt?_+NQ#S`0L<}Ecj<ozyV+>)D|
zPr!r4<aRiEvc8n$qtUqgJ%{w4zn3?i>wq_Wr`kjMtHifntR96!hs%zV{>d<}cP``b
z=;DLdr2jPRkP!19_=uImJF>m5OG4)~>?W&sx(&XauC;*z*E6zr^&07qr5x-~UPt`#
z6aEqM{%Zf8zjq_z4Z*XM<oHi6W^Jc|+1_wik@w#Q@0lV-xG`?jp%i|8#qkfRKL#?J
zev|iS#W0O>ewcab(xyl7HI4dtURW+8(4X`lSe`m6APx_8(#Dhif<(S@OH#k5o`|zW
zz-t@-tQ>-`f0*DQ{Size77CJZDLZpK>95#zB<|y3cu=f4!xs*E>2_L%Y)`u*{uZ2B
zoBK-<p8wgNLHcv%+5WR3_uIb=-gt9ZV8c^tazD-(zR$P-n<a00P4e?x4$)#e4sVkZ
zFeUe|>*r;jWAMUiY!cbN;LGm#!|?DUuZ>6GZ<Y4pN8k&7V;bc9O^%5zZi9W3Cx^)Q
z+b#W_Vk;cFviwaH_SU2tXo<pn55G|ta(=?*H6zXNkNik4Qa<rb3V9arfgHo_LNLeD
z%F~Om@584%$o*aB;E<{W@29$2LgGW55_t;n*Hyc}Jn#m(+HEZGcnou}Abe}dZRa+4
zYo}y8H@s(v(q}Xh&;N%Fm&x;^XGeX=2y8)Pc$Mt`pS$qgdibb9*D8ts5F7J;30H67
zK1%j~t#t86H2l>mq-PIoEYJ5h3J$vea|aj9axBWk3XU-e@nwax`QGW@fOEbUs%?Qk
zXfQSC!=Zy`i)mq=)?<|hWPf|sX;Q!T-9B?j8`j?b!gvk!@r3$)5ncF-hiAeHtdjdM
zOBD|Oug7*0PTBk?LIbX$O)L5d|1(@?REGE2>2i+1vg5m{RAAehoyNnk$C$)DIk>r_
zxuG9UXx4X>hj&gTQuo2VUKgeg!dDA)Y{~uC{p9ZVL-5O#Jw@dH+qlQiTok6D@7_+H
zFB2IFXT;#=LJ{%g`B3Cnq{9u*x~Nk>hbcW@s_?>TSGV|+{8c%>-^p%<TQc8HmB4lu
zpTxGpcXot4$%p?Qm`a(CK>kzDlU!MFllI@}MfldJ@K6fO61{<T2)4ZaS0fIlI<vm=
z1>U(f8A$SZ{Vt_&?uA)pt7rd%`x}>S`r#$-%G)GAn1c7JMKe75D0qnEBWq-wF=~M~
zS%veF{A0>Dra#uhw6d3jT;Mj<uWuXSiB_8yXZXzdq2o31qS`Sjd-#{{Tlrczs!;#V
zO*rIqQ+XN8YPqIq4y#-XPp^bEKeGm3fTOvCxl3T%-sm^#@KH6+^>SD+y@Fm1UfQ(H
zr4UxX6naY$W(XO+Sqx{bJuN)~e`DzTkqs|d1@lP3bp2Uha^a$ZZ>bWne@|F<9K1{7
zC4&fT!+*9l9@gV)*5ijC@Uu$V!TwyORh+Pq)dyh*IB3qphvctgp)vK7hX1j7PSU`d
z>CCRO@J+$(c9d{5?@v1+c=P~w|3Bp0dnuD}WiNbH#%5?1=JPpriWVM}FuA=9uT{sK
zr-2VTG1tt%U1GZ%`oqybnE6|u?C)57r>z&hxWjAbZ}{5proBn<%T?8qIauZ*_n`!M
z$?WjrFE~;yHr@`VbNUtf7v`Xx%(R7F=R%?;;er*na2=Sz<G^0Bf1c?3crEx#!Oh7j
z*m1^nlLVYRPU}PR36|A&u!+Mr*gw;d;~jhwy@>}NRklqa-#_@o7#kO?s-((8@)1gM
z6>QoBhZ?m$U58VBSJ>!bU*U9Vl7G<VK>eo0Ftqm%?rNn%c`aSu!afhT%7!qJ@;hWP
z6Fvzav8T<ThYQ1wB>aSpTW^lg!a-BK?BC$+lB0LGz<*e-@_mJ6zUfqx>toZUmCy^T
zIoIlu{DQ61|7CT<HtxG4N&dhw)?0k-@O$NOp`EbI-cpfPm^NYd8oA!H1#wvoaASzc
z8Xv4!)m>BvZ#wc^i5HGbtrn?-h0gPJ3Bp5}^M@*6Uvp1(0l53uKv5w~S@ij_D9k;<
zQk4(8(<w}n`t~Gp=};zY?ib^I5MJ^ZQ%Z-IC1)EB!22Rus~*ByL+VDdu-iSg##ngs
zxAb^vSnH>#QW)G)Gb2vwe@2IiW++_Areja)|E6S>MqhY>J9eWgeAC6Y-5X|T{jIJ7
z-^n|z=>iv1N)2klKkwZ$aE56&2J>jZAzQDs--P$xXnlGT-ZmKAYXes|@XhJMTJLTd
zSi+`fO@mIu;}2p?E#Lz*#VrQ#^ND-C#_;K;F>@2x?osmaIoS5CY`PIVbUwgT57rrO
zy=Vt7j&{0g!C|#*8Md%ncFp`zcteG<>>XG-v3-LwoH!nE*AYHdTj?qTAIf;2L7q=5
z)gQtn;eEeYzk9)REH4@M!R&*lwnV`1G+TLuU}uGJy)Zblr}7~WTz<LEB^j<e{;XgJ
z9Q|pjIuUlH&lYBeIl372GvP9=w1Zn=hxB8S>F@@-@B&&`+4Mq92|TsYwT=ots1m+f
z1n<0b<H+)V7*C{*i>!d#DooUtU<#!-AIjipN1eJq@Pc^DHS+uqu9s{14b#3{$|d;>
ze|-^A8-;U*78FT7!hJ$)dLyvzt395ieafG`v1I^GV&P#U?bE#PlOOxwp%a>CNc&Q*
zY3O7pY+ZK1vm2f|mub-kyV0Gk`v_mOi~ZaP*YX`d^9c@Xa2&6Potv#<$?skKk!u!J
z@a?SzqQfxXeHEK$@X+QvHecYnOVZ;-aDuNfC23ElJz|<EfUA04kCFCf-!O$u7A)s(
z(o24SnR&bKWWdZquAIN%Z#8eH<Kc7vP8ZI?9@7cSaq!I2t*L1e{}X;E9FDur!%5no
zi?(}%LSPkd8DrA^JetW%;|o9HrJW+}&)Uh+&E7CiD9-`XK1lT)47>}UF`8&3?N9&L
zX;DsaI@dZ4d7oLSjoW+^F5!3;&kUbhGTLqfcOU2**b18%=to_K>x|>=$or9i|CXdn
zaAR|R2|L_)ly<u@9Jb3!jkJd-ZR+{Y!MDfm29WlRL{L@YNm$=vtau;%c22NZ8xB&Q
zo!$$7(cs&63{J7g^p}9;13M2Lg<E0@n@D?iT%n~%7H%CkK2O@Kjd$)=O2fbHEs~^Q
zn$TN^#NaP83<pVj)S{M0Q54?re%me5ewCHxtlSNM_bR0&?NM&?x_W+?wxUwwDC{d&
zqreG|MxPzjfagsvs&l|w_)U1!;U6*Q>o>y_Vt=2UfG0}US{Px@(6!r|Ft7NZBeS8{
z{$vP)K78?KxY{&)e@{Z2HthS!v!VyCis!y$0B<?WSJwr5#M)gy4jY~vkBflK!g|(p
z;PzWV>0$71_uI5eFpcvO7j5|1;>!dzSl8mKk0u=5J}XGh|6iAx{@)PHAJpfrChcqA
z1N0^{@Jb?+%0XCVEbqt*IDltYw;bGQc3SN@O!N6;KZ&P(+Ilbnmh0`eCGGFRw^i~F
z;a34|rQ~|dOPZzI!eh_tG|2unH|X=NVFj%yU9$hWMRlwe?6>6nmBf{|S*B^gw}c~w
z$o@AUtkUwpM_I2_llOJA;OuQ&u$lFlmn3etc5-zo81IXnI}OSHAFnTMT!a%xyE#aE
zKRKYx=`)-{8S$80&tuW1UY}rVjgDVr`$xlSD<9y<2fm)<dU8+vq<IfF9jL1#<@X`B
z%d;6~DX>3HuIHXur=TYISxSBkDSxr-i!?7_ah-D_y70M_4O^bW>d_H5$n~q-`ZKT;
z{%tS2ehRLq2#9(DORDC2orI4aIv<z@Ut`r^Bl$!vXXYYP;K|BovE+JJQMBCu53YAV
zxz7at7jh{w1df=0Q9!mAyeo6x6=o?sanua<?re>?3pYhdshxx0#yYy6g=ZSe`bfOe
zl0M)xtk&2+u0`UJLz+`TIDY6sH}d^Dom>ni;Z@ByYoxw19a7c&1Q*e6k0kvsvZJ3)
z^}}MZ1+4$Cj~<USnqeW$xol&^udE$8)dVw2C{2*hkDcLft0nuhc)OXy)0kCL10Oy0
z_W1=EPe}bzIKq-n{|fwEVxP$qm}7VBhf6S<=)7JU{7$6p%60hhbzkEY_-!sr&NVoG
z%k{1pSaDcYp7bvrR-gO)0RCGM=w=I>=?)l$z=HhcTkgQy?pas_!OTpGkq&TApSaOo
zI8@5-nHQY;PsaK-ob0wy{vLdMfacO=ctM`O-4DLf;&<Z`+_`SP#TRz`W<6>IuTR}c
z4~C0dC#KHAMGR%%0^vW$JFlOFt1G+cAHwnCb?(}*;M8XASorAY+(i|bwvh94GW_&2
z7v)hn$0*1=0d@%fy&w*sVhWv2hn0-XD8%3}pT<LJ@aeM}ZUXSGYxPZ}e^ZyI+;2C0
zQfiSd8;*2O*{~Dt)S6BxgsT)77&u`LK@*<GaH00#IxXyTK&Rvhtk8Fyek1&qWzw+#
zmJFeA`4x!wiJtegWw1&0HJ=}F!sR<%<nzrs4O>EBn?t24@nnDBk-Gn2#VgW*5wPfr
zp73SZvE6%~l*i?wUY;v(zV{IYQr_#YrTpY!ZlBn^yKsq1nX3Z4S96;SsSj6dcp8T8
z<NZhdzcEr@#P>#2eudoyzLt>ssz77S_6U}hyv0lIw^q)sO*!!9hP^)&;g5SBT(yQz
z54}4}p8r=PXH9M4msd{x=7BvZ_OLAk;C$%sc?!Z`_PyhogI~8bQSF9<dn{N-;0srO
zMvK7G9ZWpK@cp$zoI-HYnKYJ8_*=+z1!;JUW>T;Xwo=&SL7qQLjTLE)u;!*i8RYk)
zvSh9lNeh+Zdpbsr!bMqi;?LlK?9X?|?*Vs?iCj6np~d+bdETt82$dGVd)vIV$n&CW
zvG)06xJ`X$2zlPb7Y55_z_M<9Jg4E_3|^HqnCV1?8M!|Ls(#hP!Ou&v5EvHEb$=ZL
zzZuk#G=dxXw2%G=zr3UIirk+)bbVSOFx|qyM)JHk_w~^$A6U2keH^(S1N9OeUU1jL
z%l(&Om6dhPyRc2{8Eb1;rYFF_2|oOKw1C{N_wCQL+rmQgAC$=b_UHIOk2S31cFBv}
zuR=%jPF;rmKWni#!%SO5&tHOnSN9l_`&Hn^a<>uuK(Bh#9S%6?^5raiU+06B3w%S4
zvs(?e?=4&=_331L^pGk{wIHY93A5j|G(G~KDcjl+0K3o*SsaEn_r-7ZhXq-RK1;w1
zT-NEKFiV2KxHxPvG5d|&&#AQYmxSP0#=6^4FngetwE%1^p<Y4icfgs$V_Yz8z!pt%
ze+P8t{n-H@rg{)W?(hC}*Bi|6rQow%DX@*>gyUA2!K~jj2~MS|o}z_69X;cf54+NY
zP*TI|5+CdH;OOQH?#upIj~Wv4|M7<5Gxh#Uu;E9#m}10-T%#$bVde9-l`mk8qEoDs
zu=~sJ|DMC*^g>}HaLr_7$SYX4$TMyj4$Y-&Z-7~@pJwTY&(oKfwZOgf`CPql1D8Nr
zGwdbc725#|7ri;y2~XC3Ol^ZjcgQ<-zz*_xJ71CbP#;YX9Mt}APXqieO-sECo__o;
zr3$|GaHRJWTqett`wR{?Z#3zHSykR9XTv{Fo|*gtM<=r7WWhHKUx^LD!Eb)<N`i0S
zIrVZBuID-=ngCy@6Fc?|KHTtyKM2+uc>3`NeCWI2zWZ?Yzp%4o@Y<CRd`_@0Bh$oh
zxb6&x$Zfd&nc@L*yr3bKa4k51Ij?RKmgWq2r~z{xrS>0(_m@&Lh{Jm4E_3{Wi^J4e
z_QSWR<hdu{_vJBb3~)|TNFj;K(Dl*M!<v3KOG%tcXV2`YALbLKKRG@PtFT;I8G*NN
z6%Ckz_s7XPeS$;HuWw&~m5iJ``{CQ}CJD2!eF@i{X87jo2+?Kug0hiE6a4Qsz3md5
z!6N#v7G{_^yuJbBbJr6ssh-2eQNrG<h-*e{T6zrA(Vb$UL40ORg)$F*ztm(%#`8kx
z+1=CNw6tH}8DM5(E&mkQ?5DX9$*+9-6E{UHZ1~#q*;e?g;7NvPSUB;jJjuuW>+bxz
z4?K9&qm>m_j})NyhVlQ8Of2x9OG`d?;bBUelpV12ZGliHczyKtm+f%Yqb1s#FfYHa
zJs;fjWY;zuSj}|y2@gzvd?ENUoc?y@m>|4gn>+dv+<oD?-yV3E;>;Ff*nZuXo#a=R
zQDoyh2S5ASe^vyZiTDw95{`Y*KTh%~uLd(D>B7(Zi*Ja*C0=EbN8q^ZoE0hfh31EZ
z!?0U7v*IDR{AUjPK{%(Irb8aCFKFOB02iCuZaoaU6hDj?f)7NTPdf_xS(ju8!1G`C
z?NNk9Uz$E-g=01|mmP=IwQi*|!^XYN^T%Mx1Wj%R*hJPiKpQ^CdtQ(ZK4tvkjV4Ud
zc`$9=7yS{F2}b&`*h!VVRrsFc<xjfslMR1Te!&71ayBHN^P<jb&JTFWGO>{4d+yNr
zxO*685wun^fd!&Ii++LkerxkIf}hQnW%t0<-ErG4!n+SWFYbc3|5`jn#+x1H9_(v_
z1z28uy8_RNKRna|zw_i4u!L9j?ThMR(}B-r)^MV~!?TyLNt*n^b=aI<Tk;uvU3@XX
z0p^m`JW>w7&^2hbgX4DYswjZ{6zhI?z*nMJn{#0$t(!J(aH8Iu+BkUDfqTsdZm@aY
z6a(AD-%|31ZEwY@{0EoMbG-|MUjzkehrkJU?6;A8)I8G`uYF**jqK@Ra4MxihZp=n
z^ZA|-_zpMSD?6C?gHc%&EVcT#%@#fzlRqB;7nF2pT!H-!R0Bx<>h$1B{mUfIJx(73
z$En;@H-I%hI>jf!T|ds~>BHwzZeECkkH?L^lz|o4|Nc&ahlX35rQpEgc>6@y;hNWr
zJ@6TR4$4gUyqD#hU9fk=bKg`r;wxwEHdt##f-MJbd9(a_3v8y+8%wrNrYf#k^FjT~
zRu#^N#Vf;Jt-w^jVyyDu@Kr0UoxuDP-?gO@_(p-6<_yfwI`^Dx@2t{Q*$YeB=$|Ns
zUp^?V?}lGE>M$3P?PC=rpTj2qC8d*m+k7D$N2<y8rgPaOP9^Uu^br2IDkDqsb4xxl
zJP-?e<}0s|&uiE_nCcEMFgb@*!saq%xvsFB<hwSqy@Oupo?CG98_EkWV7qgd_S?fO
zXG^}2{M|Oa%)8BD$*}>u2Dq>A`@RcsvUboc*<P7GhF=%H(4Fr?@^y0-UJ=oTy+o*9
zy@Dkum9kV|y9vJ2ZLm`sW1%vf)Ya0{4Bw4?o*@n&5Bqwx6Fx)}n7<!36q3&EfVXE~
z6cT`C*wp2EVD&8`2X@1HfxoLiz&)u00?aUt!-Dnz?A4PdwiRYQp%vN(i!{09(!$I)
zPH=yPbruz#(7@EGDHn#|a1D<AtKK-?bn@>}Sj@3UY8e*x_$~e&rV}VBo`GLePrUdA
z@6ooc`~wI7l&1Iz$DG$VG!A=YiAK!8lJ1lWqp)nnYnCba-DLT}F8F|TX~sOfVbE6o
z1H6=xbafi$NL_hc3D@lKTv&w1C7za6z-kR`vJ3DthEVY$*va<sn>BcAtg>tY{Acfj
zkR`Zzye%gR-Vu9+i_Cv%<?t+tfS3Ia7L6mG{ZY|s2h1rK%1h4Ql*!AS3tpAFWKGK3
zprfax!wbKsUO$$5VP}S<sy2B0PSuyBd^vLH_m#qdd+Sb;@@?^JlY9dIQa=<y%6Cye
zu`m}t7o5*Wj(<YLv?3esr{uXr%J<J1(Ss@Qao31xQofUWe;iIC`)gB3lJcdgs4RN`
z8!z3gC*@n{>sT8Ji|qbPMaoy!K~*jYPNmU^BIO%(c;)DQIOTrnN0Pri;(lw52h5ww
zd6|@7g0|NycleZ>Zx$(Urhod%w_#JCV~sQ@AN9l%eS6qV+3hGj{Ku8?yf+-tKlF~|
zZ{Igmdf5{eYV!&s^OY*vzD$tM%c;>SB=e^%%=aw&!W>WkTJMI<Bu{vT!U+kUc}L-U
zeHrO~a93UPPbE0zj5{~^K84W&uIljSIeI}?Sd-1B<~W@F{#&X8yql*{o8({ra>FLq
z4i;FT4<+-<7IM}1T!U$(&T|>SREq7QS73*$siq|Vdc>!kY*Uz}TF%WJ=H$<RW&|JH
zeE0bUSnO|rq&_^i`=!nmxG0nQ$VvFZ7KM&Wuxwn7gd%K}Ryj%XvkyKmP&o|KQ~VXP
zgD*S@dM*Jom5bIo!FLVTUWvofH!at1!?$w=l!f49B`w^3upVut{%-h8@cIQG_+xl%
z>kgPF=7UHstp3((ek;7Er)VM%HsMNf<%HieYYCEk<8fu56Su*hZw`Hb3nw32<R|+}
zryD!Ihbbx)M7G22yR;-pesQhU(?xvnnebTsZ?I$WhZkJ19c$Ru?{H`TgsK3XvYn!q
z<o|xXIlz<`?*6g9M)H66ncwPVhy7C(xal!paxU)eI5W)pK;{B1T*dp$f&qThuQ$0F
zKKb_Z4LVpsSW}D%jxK2(UH8O%<o=YUgRsu6b6e(Nz0|<NB;WVPO<F;d@KK($F?HBN
z+97=mW~QurqzNnX-xK-+J4yBoUxk-ET-3+mb(_51SKtk!_Vq(>-J`6dx8b5}<M#vb
z7Ai;YTd=!|f$j&G;__MXAo$QmcFQ)nEtlKwKFpN2^-Ck1e|Ul`1<ulZx=;&qh+a)5
z^Lby2=T8>Ei#v7pXTXvh1LhvX$7C67)8HQ|K6V+frs<CrGGDmJ-o!Z#9{cb}AshaC
z<J@c<Ts&uDLgp(=>|djdhOhm{l1Sz=A3wk19s)}>ie4f4r4z#kGQHsdRX>4GFvpR;
zy}|JQqXAPCn6E9xWvJ%`)7nfIlKjs4V!B;{aHLW|D>F<#{b0lowzpjhCi$H6M}w{Y
zgE?;Jj2wl%hbUsn@$by-5>SS>jBH_cfmxY{pOXB`gFj+8onfI#<G*D7IF(-3gPZV}
zBAbscY;<aGq7AI3KtrtsuUe@^o`<<YDk91J^rJ`KJT!)_;zZ9W!V5I|-&Q;@-cXX%
zEDdL~ydGGCH^i1}Ny3uXdO9azg;3F&eX#XkwYO8Sp3#`QApCHfiF`MlcG+@@2WHb~
zl<bAYOxDG@VSnZ3!VdV=CXX~Wc(Qqab|>83%00{iE4oPRYKALzr5KQW*U@JpcC^6i
zg(?pi;O5$>=z7>W_Z1B(PxjxxLmOe9agKm>l)qEeAD^eN=|;ipB>#4yLY!j-tUKM4
z_ZyCBi<v5fy*`<7jlu16-^PmJ%D(obZ}8J?p9fQ5v2>Fy<a%a36X;HZMT~mFd*QD0
zT&>~o*R^Yuo$!6{3yqPm`#n$1I(TO=JBJ#4X}GiJ4eT~Bz@rLZdBr+F;%YWe8Fs<n
zE6!Rq!ylxanfc&<)$jH-!c8e>eKrz1(p9y<CmDAJQ^NuyMe^i$D$l6BX7Ay7kTBHT
z0Z0CQb$=SZ<aDTw#IK3RI(EQK&rh4YgGaxeb!&seMW_bJdVqQdC5IZ=<|fyTkMQP&
z)w@-2mFCRj_wcWg>Axj#apT6rq<(+8T(D9E3)U4^cf+?sqi2%g{KL;RKf|(vC;lbE
z1Lq@xNO}F`IClF1?9cdcJ6WG_!D7iR67~(eVKhwkUz=PAgwNfy9V7YD1COVz2f%yP
zm4wIP1?3nQ4_L%Pp?nIi@KN)2hd)L$E=<B+L-MPR@Wyc(zd3lCdxH8F-1SRNbpf84
zoC$P=MR(+zlKOtFz;w_Ou6$~ktO0LaIe*R+Zaq(>VFo+bwA-GAtA{i0o5EDA?<P*b
z&Q{*+mT<6>>a-3VqQ!sKf^09YW~~al(=Lx(hkO33xTOMD9*YyOf(5fHf6Kwc(l$@+
zU<*p&c^O!@o$jwKyv<d_UK}o7==Hh-i@lF_-VdMn;ZW}g%RY{q-2-pup!@6tcQ{*8
z^1~(jlX$#ge}60Y?J!Ncz~KmZPl9j=EBxqFnM)Y#JGh^g5%!Cdh)ISO<c8SjVC99H
z?nL-R@%Qj`cl6(?8>o_e;UTjeEmQE2$7|mn_}s%iYGbhKx-Ih%9DB`J_dDDX`Q_9g
z{Mz>Fn@_NhhVPdVc<bT#j(+$*nZJDB;PljNt@m)u?x?~a@bc9j{dcgCEydJ0JSq0Q
zwFwRgPjDmab574}`}hhzd-KlfFL<SO|JzcSF@i4mFWhf_uJZ}JPv_evk}q6^)v+lJ
zK4xR{a1oAjPHazs?~V#5ka+LQ&MJ49>tUww5_}<fsm>L?r8In<e4d4<^j>{<R!3)X
z0k%DR;lN4w^Gtj-$!9J&k`>AV8(FH0k@IW#;pEQ-i$7SJCgo%1nDMR84ev9vRhQqv
zWgl;R8i1R#-w8LunkKGtsqo(B#j+Oo_nT+v`^Ws3R>~!kU*6lgD*G0EMT^t_Eqq;Q
zvCtmw*%f=g0rpM#8-EfWluThG`(OPak**6rJF|B?IsO+Dk^lC=hnII{k$4r|)#$zO
zk?Bk0<oNDcXIIu-(O)p5b(<VNH01%+DtzaQ{?ZG0v#9g;X4rsUz`qH;uU`JE37**V
z;q@yxwW;{(3)t}>)!|xrrpMmA4i0TotILN)Q#i$};o#JH-BNh4*Iep4EbbfhJ{Nw@
zyOTo(_Vy4kD}mEoEO?~g)KkYV<-vN2;tVYC)^DA^NqiHt)3$A}ed2)<a(s(qUGD`K
zl>cIh0y%y=`-8wan0=4iy(e(Egg^Bp+*z^6Pz9SjYTon{c2=s>eg^O5ukjy-88^xG
zlJhl+TnYUGXZ~K_PR>W(W{R#CKCCU?L+We9?iJB?*#F5G$1p5iG?V>`cw_kiQlA1Q
zRm<z(-Y6@3lAqqb;D|&eTqN4EIu9QjG?%S_IoRD5Nj`qj)pJh^;SZyIZ&%>!dtIvX
z;WMH^o0egxTnDL4`2J(rJq%c{rn>v_u~c{iTSV4IxQZiLE{w!Oha@(`zH;Ttp|JZ{
zkOL!J-B(oY3oplhTw{SZEjHGB!+a<1DKWzai?s?a@I&c_7EV}<rBl@zUfBIIlohV&
zsV%zz7xgZ2a>3!T9X01+lki+FHh4s_H0Lm!KJYPz#K)W(i)3M~XW}B{cuQ4fSwir4
z8iR5^_*G*=z5uNBqCkcl4jL*=XN8Y!X>Qm93svDS^GH16HZ@tV=WJ8ChXJ<X3<(#3
zpQ_gHql4=fq&tOS#&gw=*6-r|;hBah$=^S=udZMfZl9S>BKiAOQ>ujLV5^^NdrAKO
z#+%Q@XJN<Da}zSKjBrEgGF;+)^|lf`uTxjO1p6O<eds8>TJuVo5}#-8*ZoohUX*&F
zz5%A$de~D7jxnuoCEv$+R-5q@{8psm!$x@acxj6P*`L1h+!lDbwdt%0d}Uv*854YR
z>=1`3yth7ggbg;zGZnXn-*>sqY=c$m-~YCOzn*k;+5z*(?tdHwr=&DI+zMxU?GYvG
zG1t7>!^rt7JMDWG3v-O6#E|nhPTnQ=0On823;6}R#PGi&`SI0y?neE9Yk$PhlH=75
zg#UX1KU4LMiiexc%qePN^9-twad5Z&Ww$bT?jEN`1nkH8;C2OE;b-{X9!_la+{puX
zj!|E@3rlS?-^B%oi20a1z(U;GoBuguJZ`VRFA|p>*vqyEv+JA@C;Oj@rFUzC_47un
zoZ*cb<K8W>sYt)uE!bJ_{cH(5e8!B<6}F=&{#OL6zAgxKf@{1}|0Kg#=SA2&;1+7P
zg+%zHLFZ|ASoVga!vpw3jpkRfzEtvu&fQ3u+UYmH5A0uj{BI!qZTqDHvVPS@bmwva
z+}WEeM*fc=ftqRh4$KzmaXf~^n~K&P;L1z9{-k`J3v%yXhjoj5w<W@|e0Myr!A&gV
z?~>pZOII3u_#V~C^JIOk-u`2ZH{q?~6+6lL+6N-)5l-+}9dC9a?4-sJcN<odTNZc%
zXUT6#_lM7AUMs1Dzx1@`_`=)T^$t9TFB!ByiH1$KHB>jk<2U^)qhRauBd)LEg*-n+
zQXb8T#T(n<^__CZ<H`Q?;;+g76?ku!d7BQqM`r5xz>FWize|PVgY(~!|076!`njK!
zzwD&o`C<6-QovVI{v0mFJ4axLQSU3y;M#kl*<`(OiKmcFIee&6OK=L-KE1=K3Emjf
zQZf%eyIJY}3clqtf8ZbN@-`=+8&)>iph1uI&KHDxAH0WSVv}jf{|Ee!qdSkM;(Ox&
zZb_0QOURlevL+JQOCn`S)+i$T8WIVSwWOqkEZGUEzCyBvL_|mtvLqr2p^*GO=lAFP
zb<VvrbMBclGtZfOo`RsaT>bFWt$cp+|Lm_Hz6*bZ+gtQLllA|VnTHC8$mh!}85H3Y
zW>c?7c~gGDak9R?q2~(LUcvrS3iqnPw=er>k^a_baDJOAoUjm9-w6LV@-0gf{<XH+
zTn|Ub%8Y5iOFaySD`9T491rq;^9uu4bja}v+WaUv3j1%p{fe}Q={XA}vc5jwHtM!w
z_)cp^fIcknc&k<p?7fkm))fB!I8-+ao_eFNWem^c-)Sbl$BXTpXU@S7-`e*iz-|nt
zX*MwJioZcDY$N<k)ETDW|7;QipYi<V<Oo|loa?*_Z)!Nc=mAHz8uo_3C!M3^+~JXO
z`;-1~`Ql*R1^Cd1Msw2N)Z&Z}dcpB4)B5(Xhd^c<SzrJ9l(xw^`03U`20u7h5O=w7
z-hfbIFkH5!?4voXEp?`stgoM)_r~x9Ot&Y)HXP==Enuz>GkxyOBJ1l@Uz2-(1n%mN
z)l7zmUkFa9!&iN4!V}?`sslC(uvX&&^8@(wuMo%m@VJR#TnenN{`kx;xG4V$FIf-&
zrS{Ufo$!S{TL#H`1H$hVKhVLvm#0qLg9CNuJLus@uS~n*;Y0MiO)D4ie~U?Ztr++X
zO?&NM_&&c+Bw6o&ukDE90=(_3@!wF`@M-M6C769AK{*8e)%2j`2h6W?=?Q6{BIlz8
zKVd@~S{YxMD%LsuGyEj;XD(^)e@_^bhGFx8j@{(<lvOwzPz+PNZb>EU8SKBl>Qh2o
z-g}1hhrwdr@w;$t@uzOmUlxiU58Z<k;!=%{!|pxxJrQu2Rd&l^c+TiVM-+VQEd6HE
zKXt~<bgsZB9&<0q!j0vQDq(PVar8bJc(;UmMF2dhnYoFqU$Dj5GVLlnlehgSS)YKO
z>kJnuKcgg`zl!rwd^v|E1it$Azi-PhTY2^sKe%OUW!DtE;_2*t88*t)VI%7eu(3MK
zc*AY!dQl_rQL~1L3-H>nFU>=6*W(%+H~7e%NtIss-7yYJ516auYS0JxwFUD>dst!q
z+AlIb-9Bdf&JoV-7Trhkr>wJD9<zoYJeMgT`C0CnK0Is#XP^Br*#P@~$fz}k1Ez-0
zko63PJib?0z^vxc>6P&Q+!5K6a9h~jt^dL2?+8m8!(&(G?v}vSt6O#+hLyso==0%R
zXMNry@KctuW4Un3{X_Ru;9up<b!qTftH4`o@HhGpN;1CpYkAPi!yLwUeMx?r0PCC$
z2jDOd!*X(cy-1M|EDh&cI7-C8zujK@$-qJ-KZ?nE2oLjf+;_k~y*BM6`EjNbIvsYB
z@@~7Y<a$T5IjNTpKAaVW03hOjIW?X1aB<xluLt}nEcnp8FZzpNXPz&-Y-f3N7LFJ5
z6(!ft-lu!jhTz*T50+knP3;(t48oo#*%rz5)_Cvly7#cUZTe=iKl#ry+uxD;itk&Z
z;Xuu@lYOwR+4usvUPaFLyLZAF@uH;#@XhDnf01%}0p86dAB~H!pXeLdPrX)$TpuDS
zJhETH0lMBj<ock%!(3PkE4FUsApMEMm{zzPUSw%}FbA`{<w!h(H~p|3A=i(m8&mU&
z;2<|9*Wd6ekHVveu(;>(AHQJ3WRdJ7cy@8-BI&;zA$1S$!LfWdDoForx2xE76XqEd
z)1X9u|8i7M;s*T7&#rL|<@RS(1uw%BDyw=lDF4gWwfhph>*>9l)bMMKH(BT5na8`i
z$@QpW>C{6HI4!i{6uDlhMV#E_0JC1SUD*y-vCb)+g&hxdJtymn6mDFqc7nB@{rW<#
zKNXf^A4z%j7tgGN@VV<>EuG;T$w3tcusThnlRX^PK<#G;({MJ-xWn<@+~s8a4Rc)E
zY6~wihyEtxue<^Ety6GUzAwWKxb<{)iV6J8qwn~2IL5z_QxEo%(EE5BzQp>Q?>NkL
zqJ%RJrjGrWr~&6{ZO<g*aj=k9`aziEP0(lp+`g{IeE`0=GU-aj+mG>g1mxjopR|g}
z_&n2|a$gGG&Bs<>2s`oc=ZnExMO>*K!ndx8>=cBpsK1Ce!y4z-mAK(|?b5DIFxzAL
zau&GqT;$SQm}gX>dJD`G+r7UHes)7sffk-Tz3U}eug0?4LzM<zFQ5x0`AjB4?v{MN
zfcGtr88Cc+drWJdO~QQt(Z-SWY*;rP_Vj|azi;Px1)FF2_<F*9YzGHwVFt0N2@^P&
zU(fzE9OF{{!wA+t|0tK#pX;r5JPz+K!{0Muv29cCIxvR=`}tP*(AU|?gK%^=clakb
zFG_7m1=hJ%e|P|<XOj;&0{;wY9-W8%>Tldohd0>=WRm<SE*7DzM`6vGz%pvA=X3XX
z9=|3$-KyYA16wpFW$D77z9~|W^?rsQ<`f)*bz)X($$CKbg9%b(f1g~Wcu(?^Wcg+&
z8o<xDHpg#=^<r+-n!%!9TKP!6k^Dn9Uy<Yesc4@n2FEx!cR0XbKf8;_z~yPSJ$7(W
z(!mLmUu3#i|CBp?YUtQ`C0JSUu(d0^!FuOj6*!P$&sQJVUTe<_k}u@P2>*A|-oJ0q
z2ONQwtTuTDz{`xgZW_bgi=P56!Ww#X`lj$}<9doKaQ`?*-x>1x%{d!`;3ls<TqGZe
zMQ}~X1=vkfA?qA`P9`nV8-Bh={|m|gk+iXb$_1t=H~xJdUWjvJBFFQm)j{49HcgI-
zJ_Bc5v3q$De&TiJrX@_haDmbn?)~JynY5p^nmv0s{PQsn2Wh{s!SlvfVQpQ7I4!ur
z&)DfUe9EgWMFXxlXjyOz9yv6{sRR#5$X1hl98~3=JLTc00&;7qaP^CuX;QEuEl(uL
z#}U6tFIxhBZqD;M3ubq7+b#r$UHWTK2!Ai%y-N^&w$68geEt(B_rF0O)SvtEDI0#U
zr<ZyFPNbOTCZA{Cxfs+9?|AJh^%S=BbGX(43sHKyKZbv$hts@<i+aTVl*5682k2kH
zr`;tK%HXbZW)W4edf@2GYS{AuT}&mM<ugi2*1w8~+)euw=94`7l;rCe(RSLI4}afp
z?)3#uQ#z9W7|!UW`8x%lI6qwc2xiOYu9}8_a#zWe!+)llH5cH|IVTjJ!58w@Uj2r*
z&eI%fg6C@<>y!K+jca$c8ey8EcUvg2-j~?}_qH~8!*zw7%<#wSAs?Gz)$`V0Sm0V_
zGs{kRz^!?StRJ>v#oXa7d`S0CnINoqR%*Hj?r!vSAnTEZ_PfxM?@N<^DniyPv(HnC
zc@N89and9CLF5@~u!ITjCo490xWLXC#)YK)XQ*D7k$fO6%MTy-!v~T-ehP#SwVi#-
zgx_l=BIz8-_wmv2Q5OTOTWb9^3jTIfX@C#5zaZjq3tlk@9pQoX@88-(@_n>vYuS_E
z|M;5O^CWmCJKBZ({_>Me{v>~g{Yl+fG1$V={KiB0;!xv?FkEx6L$`?3_lOAI1NR#y
zef$spl>Q=264v?0mPpo*`#By!w;xt|JhY=49&;&T+6Pzeuo|s_?>f1}E5nz3BwU-|
zn;Q2L6=CM0#}dtO&u=3>(%+NPgUiVJbv?qD1<81KEOpbxPWVZjLLM2vlx6d;4a2q#
z{!hsG6)bk(*eEQ(yl=lA{JD*;XA*wLs;5N8(?J>MkF%t{?H)Zcz8EndIr|4*Qa*H&
zj4$k$cW14^s&lp@;jrRa21y#M=V#*UIer!P`C>K82=99`8~6yelsCM@4r?hah8Dr4
zqWAu7hh6ixrVqh<0{5dt;JcR0*@N(^*T5T+--FJbQ|33UdH$QxKG^>)gZv^)n{@Gm
zJX|qhqrMT>n`D<LYc*KpwV~z)IO3-9j)Sm?!QU1JxSq<fP#eAxHqpKrKJw#$s}3yM
zc=IG1OdD!_#T+hMH#<$PZ?EkY4_d&}0_!83@Zl)ERvTDl_ux1?oG&XGa}MrZ4{_m#
zUo0NtaD}HVEIfJP&#v@|Wc|h+)S3R0@Gfd$!HY2G(1jpzxJ`03>k=G5_dHS=)=cD<
zBKbpf?IL3o$>*y#|GWzO`66Ek{H0mk|2q6nc#fT1|4a9AuExSD2c@<f!r$0b!V}>5
z^Yc3m;M=ltw8`*yCJ9M$KQljW6_){Ts-4<v1t(OVW6Oa(hXj;7VWC5JQj1{yEuYlL
z{me*9&UTWYq~<BZ(O@`b*QWxq{-vo+oo*oPJV5t@<R9sBjp$E+Y1EHgY=k9W%MRax
z2TgpIU&9oUXC`ytoY-eqJ7DUw8)vfMr(#`)Nj{QR<zz2%|Jbi(VovghcsC3L<iok2
zFL95;(O29lp1>OtpTDKWdY+8Ix}14%<-ah7jqt~*+S_SxaYt1GBP^t>eJ=&hPFXPB
z0-sua&qKDaxIblytRH&K$w)LEj@vs_PSy|ow(oN>`MyzyXTv0)hWxqgT2ij^YGbAr
zoNF(3nC#ETyGj!JuyJ^tb}oFZGVX@~{6&T1?IU=Lc=JUwc-s@dPI5e%96Jw?^-pWJ
z|1~D}%P}Gr4QFBB3G-9`!2triN67lA+*PM-8)0!8^LMVW8g-dNJsihc8|MzoJMEu-
z1E)tR<_5wvZ~7LR;Lo@69fIK{W;6c|SXOXiE&@&!%L;r8mm9VFT!X7iQX)RXjn7%u
zN&b!+?a^xk@V^Y2(7UjrL2vvI_~j>E29mEM+HqUrceu+>@8$#8WPWqTU-($~eJ+xZ
zV<B2IX9d1wx1+xRcGsyErN;BlGK;4jS%21Z|1U{OIJ;r%!!lS+$@m2~9C^`YUkz;9
z8CJUuww5sa+XQRHzB1N;ck5S2w8IQSKg<up8XF>+`(RtK8$LepmzK5UVK{WE(9a8A
zOnsa&0q6NyUAqIXr^!hCB=s3D#@>e6uh7db!99PrKPZJWsuHV7{)lZh(%DbpOWY>G
z>u_9F;_esl%F-Ae$p=AwHe2F3e4jV3m8{Qu+Km3mOZZwy(=aE@n#2CQ8h)R7E0YVR
z3%sP#1S^W~klX=lGx#5DgiW{3&IrO>$pf$2;B@6se=+z<;D?qsaQqKrC6eD^_e%x6
zZn*N<<p1+KRQ!=N?1ZmL)kn&qeE)pxhdwwa!IYKcYnTcQ{`3)EDr8GghYK83zkGv>
zCyE8MVQDYXiE-F4EN=8D>}nI~LgFC<R+4TfVCI)@9wc7ES-n1M1gj+q`~8D2M5=8(
z2M1ps3nuZH<$%4-cJQ`X)eY2$*NpD(G9>FKZ<yrRL<!sfYTioLPqupO5kulT%z7^A
zzObd0#w}VnsmuPXAM8Jnyp<W&kS+F&gsB<icp2cb{~jwu!+}oM9&Ck+o*OmXf;UYW
zWV6CjRHwsl!-{L!yLsRbc~s2FaA&8z1Q+aDv8C%iT%P>=@ecUYBg+Z0KC}(HbOj$N
ze{sH`2)<KuMOhdwXs)Sw0SoOL*ARpcboO7VhEuBdHH*Q!7I!DK!Sqtm9i)EwvaVS>
zTz#+S<Q|y!?BZw-{7AvyR1)r$+@3@7H&B{2_RGO-`<nL*!86Bghh*W3mZiC2cx*?p
ztuib`F&{_P%l_%-=}zKje;dV(NdAOdX65s$u;%Fd&lFg1TVGpqiPSgoV9TI_uMJ+i
zqzQ9K)QE3})pl$R(tsU9C}-$l23Iqx<8aDgu^$^;N<B!U1Irext#QCXH*J_me6Vz2
zHj*E{n=`^f;)67%YC0r;!p(8PgtPGcuKD*Qf5L5p)Fdl7!BO*`D9oWX$VcMk-#;wx
z*b7t9oZLa;k>evL#$@2lPvUai;q;%h9*XdAJyn4#yj*{7uQKc=q%KL~<+)K^M~=bT
zT<rTuyj|T)o=z8TJ7rKo;-3=CKjV$y_bR0?Nc?k8zL|*$@xB?gE3n%-%gAZC%tcot
z2p+V$l4S+&-4^jW0(Lf0k|OJ+&t(q3A@TR)!H;Gg;js<d^l!jB*<Aw2dh3B-+zhY7
zRCyokFTgc#n1-_9uNo=3Wc~JkC(ewLczbzTYS$I`ZRV?~|KJ8DhtpB8M*fx=5^tvx
zx-fbj{_XF*MB>r%4jOLpaLQWwavl78?MG=MO!G!7;uCyWyHV`{EU^?G-3uRl77>{P
zPYZ3~n1>&2v|}xXBbSeG&B8uWlszP0gVcgo>K~ZHf5eL9Te!-b`(O!9Xb2UofFs)8
z39Z9kdWRKW!+(E>im$>2cYmxj!^MGyCDfSj>D$v0{tj;O^?OPQ=Z;CxzlR5|H&wF2
zb0^pm`r#F-iE3tej3?XuJN#O0x9w?|ayTb!1y;z?b25jY%(-j*g*B|*f1HH{-*}#;
zNB)6p)mML!`ql;+$s}LFTA`hXF)UD!vWw(1uyuFwItlCEYPBKx8tzu>&gj7G0`)&Q
z;H|+1bK0<?<4-Y?4}orvteZN_uxI2M$(NA*Q^r#jmgr^p#SNQNa7@d=zg53(5`(1*
z=;!ysJJ}hIko*nyvp?NLVg6_H@AkmCy<a^=VB={{CMh`W%A092Kjzr5oG1s=I9C58
z^JB#pd>>@tTF*?Et#H57inS7KV0zn~v{&?;TE9H3{LIpxwC5rfyS*CR;Hl$8eviwl
zxu+E1<FtcjgK)s#!48r?qI}`IF_{mM-|?D~?B7(S(aTa;+&Vah?B9Wvqm55trkIiz
zNtj1QT>T+zL}hD4_AkqmPa_}Je)6(?FI+D%tauORW#$}HhYtl-sgwDoDh-b_DzIqP
z6@^gPLV{)TFuc3nS&5uaQpcTa55gv6QnDU!qyqJfHf-L?vEL28d)UHJ6Mj?iNzxK7
z-}htwINa$|Cw&Tbx8Ejx4E`@Jv*`cx3$ZzshA^#ecnO(b7}j3drw=oBAI&4<+ZmtW
zS`*mAR_q}e-$K{&{~Ez}+ZcrR!Qs}Tk(TgL%c<Qmuvv|#ofiBd)9rUFu17k8EkE_(
z3F{LpEwCh)qBGh4S82xi3iy1;wFR<$#>Sb2GB{^<{oWHWUss#wBe=AgvC0h2J6Gsk
z1Rv|vSSI^p+#UTh3l=H3cJ&N=$j)v)1D;`7TssB7j1`=^1*^`;M%lpai>uSIaQ%0t
zKnwVkpwECSJZGmyYYQ*Y=?*!=B`YN%R`4>zrjI249qivr?*PAO`P^p;m#%0>koqNA
zNu4B~tq|nI>;fmrxxXjz?y2v6*GPT8@!f5*u(Z$oRuA~5?rQs9_{RrPLpOLsTd$5N
ztaMLhzz0s0$=4NuLoK|yyy0Y)h!%c$;ACjlCHT=r!!}-6W8XC2MYueKsgcC1L-zj4
z3xYRR_coDuHooQSW#VsThsgb0W0c^%O!(AeAA{ex|D#dVe*XaOylv7p13MY1oymto
zeCRu-;jLSud$VEJ@Q$W_I84gVrU>>_4s9Xv=v{P^TzRmHqlii!JQPZOD;?e}?WIWW
zf4LQYzD$74F1^hm@nYTD#$#zP|4>B!UHH>ek)~vr-bdp>7;LMys89B9=cAR(P<Y4B
z>$ItGd-@#?65rjSrx!=|=SP?hmji5`KB-N%x2bP5Mi-uY_n<2mmUqJHAMghi|JS6v
zm3MQnC~UAr@C4c4XOcA`BJkO>t((a9CdN-JGQzbqPPYr-k<1N$=;6J~96Drs$7>Q?
z=JC85?^)1Y2%GNGcAtf<X)Ldk?S0Se9r*xH>VMh#2&Q`$HTE7hf6H%3+N<5i*18QA
zR1>s&0ms)rw`+!ZMSh4>!=9#tlkeb$!db;Om@8B8C#nDXM#I`$*o5P-cMsefcO-cX
zuC8MU=zx<R2%R2>(^bXSKf>yTIpaUzzQsyPvOkBWU0vs3xA6tK3Ha9Q`Nco*VcuYd
zudpg(1|>y5o;O6McxiFGY5X$RY2k2bx9ueU`{;v^9vyt;Pk0t-pSAGvkIZnX@rGQ|
zK5;Z9$*l0hE*`P1@LNL-A#QkA*j))$csfaKf(PDKR`{62qql_jc<zMzUI_fR4X%p+
zAiE20%#@Sg0V{Y`ebIr<=niU-=k<TKg#t%mH+|_^CfGZz`-lU4#wf0t#0xAh%+Wc)
zD`jcN$@9KfYE*78%<|vmlXUQXsk2`K;lG{dJ1F37*G65#;mVcL&VM-m#K7kTSK)n^
z9_lW^KFm+5Zo@AYg$>E?T_JmQ`4*g2$k$Hd-8?SKp^329Ka+Q)J=ZHe4#dM#BZ`OH
z;hI;U>XTvbVXq_P_pAR{v`*^xyE@f3z%lEGedFK@iPCkiU}NUU+$i|&(IxTw<n!s0
zd?D}-uV<pE@bTSd2hYR*aqkW%@zSxbJ8zJYsxH#kGm^x6PH7p|ka9X!(TfsrM*I~m
ze^~FQr$32jQQF(QyZ~41K7O7HZm)>aA?@*@KhB#I9&GoE41g`tf`2l>v8R%mNqfYe
zsGnni`MRTY$^Jz8Ja*dvm)^_yK=${o$gBqy+~jqeEfQ8Q{QP|x@w&BMq#l8Fl#ON=
zVUw|Zn>+COqK4}axOsEm+C$io>66z4ygOl~t_T+Co>=+`M-^_?DTSF&u`HANx?j!S
zmBZA%qLl0K8SaqLCinuQJIyLgzxp_*8UAnfVl*}O$M4%Ksdw<^3-Q+}VeMNhbDi)O
z#*{6a;a+Cp4I}W%w^wW%VYzP)u8qN7XS;Yvdwd)0O8EuvxH-9<4Gv=DvR;IvJbq-6
zc;fOa-!QfTT#r4b3Q4*5$yP0PI6ic04=+5@FR`cy|2`gbfED&V*}V4vEa!0R868YL
zG^n8sUy3>LoCZD<>2u`>tTbpMw}#`fdf`u}2U~>8$dluH+{AR`IGnj(;lFv<Uv^8!
zNtknp`PnQioFlJo0H3(QTRa5kZj<gbg;^MWJtFbcjlm6!Ch+>EWib+;y|2<9M!sLC
zbcg6i*f#vW;!(KRQ7W|>=Fxog<RBbfWpKY1?zh#OQG-Y1PjZs@a#Ed*odSGd*pvM^
zJlnHwx)=U$$cyG4%<|;(Fe%@B(~R~m>>JsiAPaleng#^GY4Ro8mEd38%7Ol{Lz|f;
zX`i+_rDabz^_j?5b@)GCzEyYFrMP1U**@J)zKiy7X-CpS(q8((tA6L;7%}yU!|?X;
z)ddUqdpM0JX|I+;AD7JGZjFaUIxySjUau3dZm+YPAuQtX*he4MS!VPi?e{JA$?Oq$
zw5er<w4dX2#Qb6SkB*BxX}>I=D0gMJ^n_sDX*j;?l&2y*sZjsd0@iq8IlUKd_45h0
zh4Z*1X7<2B4XpKN;kPzY&LXh7fNQrWOmnQkZ6`c;pN823zWb(Wk{gzKUX<tyyBo!P
z-v+ZL9`5mhefHgQV1}>GjGw*?x78RrF~MolfytL(?RAr{H1Lr+?wz6V&TAYK)Nra@
ziPaT&t2mGCsyFTrq_n?9!d_(`&n?3|^8G>)aBum*@GPu)z@zvET%(aNIs^0PP)uEi
zlXLE$8HXc>Z+gYUbTWq4WAM|G?Im%r>4ND%KWr=XP(BGZ4x#_t2M?Jj_}qiJvRO`b
z!u=a+{-(h>d+RMa;F4sW1F7&(Y4gV>_-{z-%WU}HA>Y16SS-NgUnZO{9B5nxx8CoH
zcnF_)CSqC%oBy$B$cHa4OLaeijSahxJ%(GOKD;l1wOK8q9>ErppAGWh^qjZMWw2It
zs9_Gg)_hX86h2yitvv-UyZf@|1^mHK;$1Qv%6o*hlGLx*cl<V-fi(0l;R{E*b#K96
z7-T-y!sc5BS|VYW;|W%;VTp{3t>N&lWX_aVaPaFZT7fVx+eM+b@LzMTqXDpS<C1kN
z{Bl_El^0y&dt$N+p7gG0@`Nv4@7UD|^H|g$a)eDU?t0V<&(9bgwujSxW=ws66ZTux
zorZsJ{pIx;-rhR%(gJ=n>sB%Vi+eAtoP;y<E9J*v=S>l6Ct%u}vOc5mcjmYk+OV}q
zz~4!DB$vDT2yFFcUf~=3c8l-<RaiYm?&VK7Ft<oi8Sc+4T>AmP_oyh7g>!_2nbu(c
zmKV?Wz(J?)>8!#^EzNQwup47X7u6u%*NM@T-v!SVsBWQzt)~tD<Auj2GPg6s57Q2n
zZG&se7%iFLgK{TinBnHbiev0>l2D^86MXt&mcUjxou|8m2BuVN&F6s|={25E!=^nl
zU%6m8TSLiJFU&7|Fm~Gk?=h;CT8967_o84syosUX;VkU>Wa+sS9LSwsJPlW+SIUUP
zz9Drv{V<Qi=pjYeBt9(vBW!1(9;`sh4<!h7zy}`b(W=8`XMgQ_3tMk2)KG<0&eLQz
z!V|YkTQy;;IIFCBcusH2ro*rSrPuaKcrW|bTgTutf-M3Su%Mh<+fn%0e1A#_%rEC=
zbOJ8kDxFpguU0hP(udtOHMn!&^7-0rrtnF}J3Lu%<R^AxWBBrN-o0daqaMScB`N1y
zN=$^`CRuY?z+ad)v)_U_v<x$B;K#DY9I^1nrR+g#I5XVob~rpe7-#1Q+Z8^EzY3Sk
zjb_-xb*G!Q1i*J$TSeXBpfGwCfB5t@ZhKc)^`5{DPk7tcwIAN_?;4v}cX+z)n3xwV
zAmg{$9u77Zd+HDOo+_t52cNs^J981XlX@Fz0r%J%_y)r}%;=)c;kUH+p9aFrG23ZQ
zz&n^d6~p14GP8~Pu<W+yzE@$9V;-SLVAoU8|E|GHzByM9!)Z<L6r<rHm#TFo_+fxl
zS30cjtwX&Z=ALq6N`rlUY=b4?$Yd|cD%dAt=ISok<x{RxC49(vGX)=9Gi*Kg687{I
zqU3?Ug~dzO!8xVsfvoUR&%esZ;Z$cZ;~dNck7|kezlGNwqgH9)1&Kb29{6fX;$Ld`
z?*Uo=PWbmg_rm;n#2a>hqUeKPPK+$h!bf-S^C$IV*LY`!;Ogz&6oYW;(C(juaQdkm
zbEKSgC}rpc+`r7{Ps(o}&L4gb7w-$2Bi|<>HPV|88w_srAAwh#r}}c?GSU6dhTtPK
zv?ghAC_|<41gx*YXqp0>RZsYRg_l&sy5nIXo3Y3RxMV`2=O+B>2xH?s{CeB56Or(n
zO%cad;D9hK!*F==L~-OFc!u4+{W84oS$qQRXT&RcjNkde@-k&zH1OJ}&v8#Uq<iNn
zM)<;I2VHlV?b+c3dblDxvc(Qgx>d}_247aY_{J8l{?KO50&_LrJ7NKcO-qk#gJsTz
zX_>?7_w@KUVNu<j1_Su`L~%AhoG=yJs0Z)9Kf%ibd((DSslW>hs@a0@$;%bhN-)>I
zQ^NwV{Nug@vatN^Vu#)EMd2F7z3?*C*pLvstB*of0G@jw<sbnM34f90hjs3S@`%8b
z2an`$fGe5mGo@e^6_Elen9flto|HFg=O+z&qJKuYa_@m#Uq>Z>h7}Xr+eP8ODichv
z;FQ}7#(Uv(=cX+Uu%R;hZBoC#^Xv6WSpEEdE_wLZ`pcLKSbwK)oGiSbi!wY94zRho
zO$q+U-yfa>8*J*hMe1*3<PN$6x1Jd0RD-pq=7Mg+EJo`mRp6EgmepujvX{R9FzjtN
zz8VQ@sfluGz{)lo{et1m|D@A&V4Fj|eu3~Nac2%KxIALpc~@9*!6{V__EY_K-We9E
z4DUM*Q$=i=ISbR(T(LHSHPw1%tl$sdl2Z&}wuwb&Q`k!+Zs#euKcm*g7~Wl8U}Xl+
z7Yt7vhp$NAAGd;!*ynxIfp_kDDtHEd(B6FR5PYC7t-uZrjft^CatiehnbNPeuz>NS
z5qY>^M~bTp9JkeDR1W?u`)bSq4w`-XNeH%+%yIF6Ga}FT3&IVu?O#a!vkK3;SzsE4
zTxV~1U*7rmTj0xE#`)dhCe;txOCA{iW}fC;fE_I2jxNCUn<cwkVaC6*Wi4>gxo>7Z
z@Kdj!Wv^iub|pr#Jy|L}@kg+$&i8m<IA3^^L=h~xu#<soujl3wq5H7zzP8(!;Egf=
zgp!E6Hqc*$2U?W*qTp1%oVXykGj*OX0#;9{dwUsPA7M!jgbM{Njl$rJ^2X!<ST#7V
z?Ft-qjXK^Lo@d^5G76rRFO7GETQ(+Wgusp^d%}*uiidgLkn*PCp|Hd7J-UlQSK)GD
z#bq(LN^ow&b@&&}<nnGf{_ctA;V@0XLH8|i%(XhT8}RP^KiwJO<lY|w!LTYtyMBv1
z{y%;;F_|1sQ9YM_D?B^4%u3peQtFsiCHzXhAcnN(cF(vYRd7z!P_r}qB`v@HKUm%O
z)*<qH|F?hY<uf?(dTY>GIEITtwHUrZyT^<4HyZ(8<tOkmv)3a7SZ^e{A|GBz?8!I?
zb9|pED}p@|1U{4VMc^8RY&M+lGSavMjxkKyL&}4y6e-F0@pflkVHTVqIdzGQPltZg
zKg@wU4r!Njzy)3%!l`hd-m>%-cr0#wS32yz+tQ7UhnHLDG7^Y8m?p@08K}M?BN1Lo
zAF`r?g>pHQBH;v<dwpd5-FROpF&a+WEL%Md%W|6gX~JT>HX3C7&g(Sv*MKia^#zmh
z`+<<zq9Q!pL%orFzJ6G5NdZ>R^FKt!@A`NnFKJk0SA!lcwzpqN!AAmq@H+Q3HN5+t
zrYjGe+gz_p#%o72SvM|Nw?+0E9qc8pILQnvZ#>3K#%s?Rp(!Sq#<lV|Io``VB<wfB
zqhoDdq&?)v*&H^&oh6D}*x|$eJYQDb@V;Z15f2$}xnxGhe#61x)uv>;W?P-K{t4%d
zG!BySQugQTvp--PW~&Tw_^3h6*F{*))BpKVI6IhOl9Z2J?OG(`lc6t{-B+09dN~(4
zKfS*`aO#7j<IfM0^X<=6?2i$6RL^FT^w*o)=4J-rIvt_nNLb|WfY&&j?#Cy46YdC#
z^d5unDvT}Nf;~9Aeow<xltY&j;k6mgKU460>ctHyunF_jIypX7>5JF0;Cjbv6e}=S
zFfVH!EVt2o6Fu5PqhBEL5$yZ<*Cskxhh^E~F|3f=7sCQq?B6)kL|l3+meeou5)yj_
zr??kyriNVt1RuA-7nT(0Dd8WyYSVAvS!R>SKiJ-!xNy)2EG07*H4k5SuUI(*e>S70
zA^Y1j&C@gkiyU92A;(+PDo*tSUd!hRCGDZm!V$FqKd8JN+7D|??4y{2FV=KldINjU
zaYp=s74o$Mn&DJw;rb<bpT5)YTKI|Y2JL_F2BrSr)v&qocI1x7`cU1xvqi9Y{-P$;
z5Z?E@7c=`1exyYeN&(A66}x7_o*%ktH^GW}+-?ux$?WA9q<;C(<&g;3mZk3CW|+e0
z+ejEZKeD=)8qUmi?6QIPt^HR{%2iUkyR6|8R)6zIdC6D(237c$Xs#qZoMuzmpbQtk
z<WM5V8+|~SrQH?rH}iyN(=f;9$IS0wrElEM6Y#}@zr)I4Ex*h$(w+jh0>UcbOT2Wa
z2jI@o+{=0J%?o!wzK63;?7Cb4i@(`q&<Tsx9rsCuk4`7OX@U1_Y4T2nZy8z!H^LPv
zs}on?7}v$+DtLXr`$Q=GF0tcLIjm8gV&Mck&P(j8g$FeyEFIwVncAWka7~_$kqOLd
z!Y<PQU)a=ZWCZJMIOF~jK5}N_-7(lc|Ix2zSnTEb&ZDqT)#9Gl@Q81S?m<{J_29F1
zc&UGro*H~l@Tf&SOxNh~lo~FGV*5}D8;6fRp@DZDbYOiB-@7&=x#og+=Rw&UPhiDN
zOUZS3qvcLday~o^&0%~24~(lUK7@_9Rhgc{B?SyAY4D8@7q3A0;kiwm_uxF{x95Z5
ze&(_jay|N$`1ynq%rp8Rn4FJw6;}-pz|X_Dt72i@qOf*pSn1bmogBF8p4B@s_)pq_
zNV5Hg1e@c6@V+Pc$)r6P6AJXW;rH@eK9cqf@-2D80`v8Mu^{bnEI^@k3*7QrJCU4!
zS6`@V(ZWZ~nV-$WW+9?FtIoKe39a!X{ii~Ozn%L3<^9)L(ZAj*)OC<@wu=JI%<%5_
z?Z<w>;`HgA+u`V_YsY`W%hp4T{BV|ea`QOM!k=_|7aVo`SMwNLA-0WP5EfTpd)W=o
zEVbMeg@dS_Uv|Q6#hcnh;0^qjR9fIu<<AWE!0*4mRe24|MeJ=6hmSeW$d$p%X&-cD
z;aFz%{iU#<tzi?Xf7r%aDhm$1{!>RD{ySVEl>rxOx-^jb-)P<m-+~zeDYTVfp3{6H
zvG9b%<vLPd-dJUOApFRiPE!s38Wy!Z0Io5=`Dh;;YdK1*4fBhzi%G%<MQ_vUz#YGr
zK9l`_XId5@4cAqMof3fUJFEg^;4P*f5=i^x@H+n%g_HlYW95XGrkH+<!>X)Rdh9U&
zG^h7YV&?(PjqrCHBQFuyIVHJ<j2}A-&pLC!!>^<iSMht*1paZ_1|O*I?IP!Ql^JJE
zr4!<Z$vaGc!f|EMH5G989gpyFc-1RfEEb;slS@a&&vLQ9Vlgn^7lEu#u;i|RASqbU
zmtlK19Ij#=Bn>ZIe)j$?tfO~qo&(-YQ(!>GcMjH;xoxm`6qN?)e=(=BMwT3L{~$wI
zOV0Og3tS_Ah+nHHl)@=_RDBb0+ku0nMewD1@7_sx=jKnjq`ymOD>uJ}@1%VbB<ItN
zLhkDpSZw~T6}dj`I-Q{L65b&l_Jy1eJclF?*TR7}l|PX3ch{$7Q{h8bc~51-*B3(f
z-G>dkC7ILVZZ?Db5cvK>syn&xeX+0k!LT@+9V7X^{`>V0+~N4uy>aCH{(a3j!xcVY
zJ^D5uUUfLkcMjHwe0YLf@1C2#=d*#$p3t?D<B70*%6<Y)oNUn}$D1Rp&Y=$%Ue^dJ
zgtas$LWE$S{qZYgdl`DhA;R!u-%UObV4Y7A{_L>rH_KUaeO9%*>&FSFv++ri@q|7*
zc!3H2%<o-5uJ1Y#Uw$#e9ibL|5pY7Ti`BRT?q>#Tjf3H<(XY>ZgLlR5V<7kA@^Kft
z+Tq&+52C!_{Q_@0-@)ZC{a$&(bY+iqo8cD);|HB!yA(>@H}Dtzh9C#{%=nk)mvCsO
z%&HZ<LrA*00WMJ3s&EEY7i2m70(R&?##;D|<G?{uU)WH8N)sOTsI0DlS=5uP_P{UR
zSih)&9Y5bnk%ap`Dan_?mp}j8CJc{vIqxU+6Q!4Lllv?CuY6K@aLsR*Ej+NHm6l`y
z{A%7SniHP*u_TlT|GhFr!wgqWatkHH0@1$?F~O2zbLnv~{}b2Rjc`C9b9y|?q*MIg
zI_@u}uAhxP50}R8l_vL_=briB@P;3joP9{{S2wruh1<Yq>!yT%z$$*yVdvoYS=7uV
ze!*FiXCnX`h@Oofhd)2MZ_5vl?TLCf2Ah~V4Y9)=3&SVL{qR%sQ^Ra<>e-EPQ}Bhe
zyDjPA6}wYg$^EdCJ;!M}nD#)>iCNg|?N~1b+<*D)``_^T`;NYU_ISUg>?g|-eDZ#p
z@e+Ji^y)Sm9N+5!XVZCj^!@{5YIyjgV)rC`*g?dS75?J4{QfJvflWP$wAZWrHwJ^S
z%=ZOB5%|2D-pP-!LKcnnF8D#-j*fQt%sr(q67U)KxsEpYMR>?ZQvQKSrS>75qG@Kt
z4{w@xswskNK6}RT!W#z_6|-SEg`-U5e)<Qe?SWjlBF_F88@#t%=2<HICQQAV+`l&;
zH7QMp3({<8HpBX<Lelr(M?%}y$@2ks`WdPF@UZwH<z?8jQ|#ewIHKma9BI$3gD3M7
z;7$LDdVhn}XZVC-VRyqJR}zn^q~0$`>MQT#diW83{c9~X8m4@|Ap8#QbEQtb4s-a*
zo@<9yS>9~B3MZB@k2Jw7qi;CF;YM$|*h=_SitweQaPT@iOFcZ6As(Owe|7!aOyYS$
zoZd5%q<+UjeKA~dz<PQw%)0#;MG>jbFW@K&7eAF-xB;6=w%C&LHtpoSF>uF`@S)vs
zgMW-TiANU892}H@WBzFE@P+T|3%6~Cc^!|Xk@zU}zSTDj@B_AjPCIy>?z-Hl9iERG
z?i#tldkiY~55xRXn;A*GHPh--K@*(DKYh~!=0CZqun|6D?)a9}4^F5Su7ZE>(KNUK
z---DqQVADqP;NaBpRhQ&y#Q{WVb=49%|$N@<iW$wXj@4A4=v-I39!zt14qdI?LAS&
zkx1&tDZg}vrQCNiMZ$H?c`r!3IKQNp{yO~q!`@|cSYgyNG8AUl+3T_o&i0WGiGf#l
zzs;8+-Z=R8Dtx|3Dr+Yk?54g#zOU(G*D#64w|t(u5KPMH_Vu&EHU=u*q<%I14U;Xf
zZ@>*_FZgHY%Whh@L3fXn51dWCro4ptg>b$UmF+NRP<}0$f6z>)QsaZ!4U5W1`O#n3
zBv;R2J)dig`^fx7EAI}8HMmzvUYyKtj8vp?_rpKpv+{@G9WNxg2H|I;yf*!C>b(sy
z4e**|+)y|CPV2_CSMZQ7#m6?7NB6g17Cc%JY((aJ_I~iYm;?KANix;JPbm*hU567c
zmR_%bhZL&5-GF&2j;|NP{ai}zr{JF0ua|S-iQwWkOPJIB-Tn;NTkf2i2HY-xzLd<b
z)g67Oq6xdzd%NF(kC<I~EDqy&a5@J5%02!_5^lAVaEyli#i??6;osl-zJ|a-=WVk2
zVFs_IvqA9w^-K2|;qn*xL%wifb5GJ1_&`(@-vwAM+M1mf{^R0#-whTjEMudCReneH
zxxjt`>NhE1_6w?}=iu?=xEoZk!~IL$*6_SvM%bJ!-e(!wcfuSV_5Bh03+BuZd}|C#
zbS?Xj!s}0!kCFN5tdr_~WAFpXS{gDxy?>%@>J98I9&z;`e29~AvJD=aj;$o~%}M!p
z3^U<lEEUS?uvLbc(F2(8p!IJuA8#S>sVM@s(+l!H1mAd-(i{dS%>G<dg*&&W)_TK2
zY#aT^{BlIf>6ho>v6iPYWP7R-gR*Au^`7cdGJo%6oFZoeTVIyhs|mZ>-IvgWy;J4>
zBlFLE_GVHVFx%E$MWp<Uz7g*ZSbv^NN*BJ|$;`hU&VFfTN9M14{KF#`Z16rqo%a`I
zn6;xZd<kYw-C#}T$K|YFT>c8*J1g{=%(v?wSiCd=YnyuUO2gT!?n|HHPtW3$cf-+=
z*$cyPiPLzmFkG9>>)8wI+0dD8htKcPb^ipby|=#02Vb*joa}_>?8DhOV0yLLiEfz6
zT<sPs+;gq}b3Od|i6av|d~}|2un}I|+j^W1{>$QPRs~NBExn<HwYu(^)WH0*O<Mo(
z{)912pl&g&F}?U|2~InjbgTq+e4C~`4Hv#skiHDFFj&@*_b)u7cgS3V<;AM}XW-PE
zZrRrG=9BKL<b8~+1*6<E@cxHi4lKZR(G5FHU^(`<7pt(<T;5J2Sift-$}-ILl_UKa
zd^xx{fb8E%{XY+m!cm#qE7wt8km1045I*^Is6hhd9|zBg$iXvK>Qv(Jrt;oQ3HV?6
z$Ez}M3VlYl7+l=Czn-+eg9f{RAiQMPqCxuO!{kpp1Ynlv@qeVg!0P@x8{rj3_ba47
zzW=v!cLVGg^~;~UAE98;e0B6J;t6f8tE60M_<Hy-%v|<wft0@zH}<Z9C7(O_D#7eB
z+b&eW_ZQkrN&na>b8YrNSXfbRKk2XXN;>mTVD&Bko~pnSp;D6%;5#ms`$&Hru$i7p
zgOAYEd1=6}3eMOk!0g#v3*>zX^&4D{cVMdQ02y-rRm#MCxelKQfA^mOOwD!pYcw4A
zU3#9Juk?K7)*-OLmJn|fc-KZ(n_#%Uf9Q!3`Ml%MpfAjONL<zuE-;E4@_|42M4dkc
zzhS4baD}V*I_A&9u^UP)o#96#ksfDA{kQi|n!`yMO|y3J_B-0frsVT7f_un#!<JI@
zP7gMhvwTd(BRf0$uH*36YRPXlaAi}Tk|4}#Y~th$n~$GR5rBPHO7k3Hp036UPFOSA
zOfnW$KQ>y&2wP6%yO8m8^_!V84IEtca+<vVP}1~6g&JlJVHUp)FV&xWzG993k|<O}
z#^>~`rOH1rRpa?7^8SPCKezp}a4LU@OFF!H^soF3tnj$4AQiT`@AKbR_>S&Ju^f0U
zgyPv3__^i|r!4qWlAm-xJg`e-ioE~ebCpu24;H`h+&&K;S)SY748L(LpCIo$oO$6V
z)&&0%xtm!4|MDJADT0USqjo-l<wxz(9>Vf#6};s8%ugSRiGuYqQ&UN~mhS5t5wQ7&
z{sdA!`7Ax)9Ngplg!3tUMMNmj2Bvq<?J9y3xWayF!-rp<KS|!F_#;m{cLct6pW_{Q
zA7hv7+=LulvGJ1ux&B=g^_rB0eY3=Gmcb@E6X(R?niEr7YT#xKJ9|-B&R9{e3g&G1
zG$H`+%`MVzg}tZR#&}`fvcqlUeGBux=l%5Xs^sGF4p?+RYLE`Dv{S$S79R4=F{6az
z1*YkH;GWBzr`D}-eW;bwA=mTu3$Z;*uu%2Dn@=!b@Y;t3IHX>Pt`DyL;A1!qzo32{
zP3{lqz6_t7g6G_fHx9zDdpmUcV7J#lBgp#|0@VkOe}q>AgQ!Q~@zC8GO>pxa<}h-<
zVXSuRa3lQRNE*dgct=l=(tq%%i)hF+oZ~d6`~==r?@>DiH+;0H$cJ-pE~?GLp&m8Q
zbK&>L6@zBsEz0}l(%{0=FaG_8=|A4xp8}W3YXmI7x5~mLufzBM$X=$#{gXtivUDV=
zKjmFX3Df-dtS|^3y~0>61-EI1{pSV8-5d^*h7)WyDj?;#`dV!C6+Jkb^}Dh+eCLz%
zAp=<0*6AfFcQ<=qPu@Q`B9&P04|9+Hq%eU~o^q?6hjp`zLQcc{AxG3aVDUTdwd8(s
z+_t6C9(EGE_c97TxGDVQDY$g+t*d0dzFcHY(-yAn{t=cB2j39Wv49_KUp(><4j4^q
zC*|=MzG{=_g|{9q?@i$e(bfnu|NUdzUwwU;_5eFAng32-8#mB}`;C?l_rnKh{Mrt~
zC-PKZjl#Y^tll1iIn-$mlIO?m8ljDQVY9+RFUj-cGPUEYJ+Os5oyr$DK=fJ_KkWBH
zwVFKN{Hk}W=7rg0cC3=;n~6XF6t==HU5^6D^Xz+zyGl&3ZhwyoC7z$^aw+RL;DFQ7
zs@q{nM&$-lZj)I<u>)4Sk*&oEFBIBQs==?K(sZ`KA0!GI)ZuR`)E%T;MxskY8y2@L
z?_h`h51ea0276Ql_6oxxt8v;V;jI=DeM0bqT<Nza@H3g8BXY2TxUDXU7d$mj9F>I~
zeVDq=!bL@<-%0y4ywEfx@rOUAtKUic%xA8BaD_F5%NI_<OGO7vec&Er<HZy38JU0m
z7h#8V#(y^O=5<v|68}&*nfuQgu6doy9|AATQe1U{Z%It1k$9}wzdKhQVE(7ZXRpDW
z1~astFl$NDNF4lMS>PsjIAm^fc0Al$)f3|jAB?_}oe7_InYcmv?}s_wQ4+toza@^&
z8D5`C8ZCj}3EtgI`Ws^$pTHyd<BD3uX*f30<iRsIVtaK2>0kfkEP0;7d>m{+I`DqY
z8}~^(x}7aHNE<%??KVdltn=y11$o$$xhkO=rg&oMOWN}=o9cTKKMyRYotJ?9gKUf%
zV8+{l^J1{k<Y?SWnCJIycR{$}9u+Hz--q<vcNc&kI)~`Lh6R$erpWJWW|`8_4%-Hl
zPm$kO{~i}3iT~YBwY6u2hk{IRe1U)Vr#aBVgY{qZzrvh~v)@U7vAjZWK;p^QGmEF`
z;aNwyp5O3f&ap+(Uz62!jo0D)#mq%+_<Q99Cne&WT%NQ3J7GsL%0x1MqQ<3hX$O4m
z?1NKeKBPhG=08#L`N8+6xZrC6BI~>0k<|b`9=JQ|{8cG<<;t&Ab@%~uUKr_rM`?<z
z55Y~Br#DH$<`z@KX7Km13v?o|s@ZOSQ@H$(OgK5eW@+`)++dFIl<;lvt7z`C9`NzG
z0Xnijh2Kt&WWfPVTASJ6Od<K~9QgcrNGuQhxl}E?6h3BuIhM5N%ttYYGPvekDJyAj
z9viudHuwwG4OVje_fGG0dk6F1U*Z;r+4t;m8-k~Qyy7PNXFVt-Jp!|x{*y+=1BN?t
zkH5iU7yHu4@tCe3@ScKslQ-|&4_8X-{h}B~{O`&gL239*@#!)u*s`cTR{<V(J-2@|
zeC@;STvA`cJGP1uUgw{Fqy_UWBq_7QD{W<uG~wB!GvVBDXw7~lEBIm=<wilco_kf1
z^yjyN+A+J}OsC@-<a{an?i;fYHZf~DM9zm7U77m(;k3-@CUU;eW_Rjq!g3kLO{BiN
z7Y&;hoZsTFa}hq>XUS#<-^}1X>H+K6@EX{{hdP!U$@!!tDE`hF&e2b5JO{IHon&x=
zxd!~yE#dbZzhXS$H`eUxWPDFMU((_ZQygD>LB<Qo^3tQe@P?k)7y9teOCAwE@EX5|
zJUM<NYR`?AVWT1%d2;;B(xMudV0z>6r^>Lu>~@W4STT?8DQQoU^zPtDSR?GaBx!E}
zs_Nhb__Z>nBsm}76}eX3fp_YS<&*xM`O!i-1>SSSIiK_=yYF=V$*^{rt`HZ@XTI<!
z1Fm`cZYSwKe|jFsJ%AHJO4FI(q=<-TdGLkMed!Evoa^5C9GKzpHl7WzfHkXEF>Lbe
zE;kkI5oiCs02Vbp!#Z~c*Vj}vmnU$*{yvtU@Y~n%W2FAJ{0zF!u*;8g=bpiyXSwMH
zV0t;GjQ`-9)&Ih}VL9)d2len)$MLHju<**!K`c&N7y74ly$OCXX*Tc~F8|=URs&mE
z&Tkupi;kH4m%$JIJxUydx3@g^D}`@=I?^)=zq^;YPzaCI{xh0_+xaOL3SbeMyK&#(
z1IH&lGT<mlZI)U1<wp&VbXa&`Kz9cIW-IwU0Z!Gr{&o?jUI?4I11DMWZ(e}MKfBw<
zz+z0z(W`L0cZ1zEIP#`>(=xoLx_Bf6mJj)-NjZZ1Uz7FWV0dhDd+i#^6{O$yy2I-W
zRjM>7FU{K7>k6M7I37R^_scRFor9CbzOHPBmkLjvw1KSyyyfZOu4K&)bNB-TZ8<X>
z%Xzci6!zLGD9uR9mF$|1z!z$ZOSZ!8w~JmKhV4?#?6$y4?XCyJVMm3&F%Fok=c$4y
z9Q!INnFZcyd%kE3{M6td7Z*IiRaVFd=ksbYu)>{17WcoO#{cKsA6+Nqtdr@<lkiiA
zgUy^U_evDU2>j=7mezKdMd=Ou5PaRZxsC@8%}QZxhsOmj*NVY1bes%t;7=x-|L%sB
z_ftl_guTno1W3bH;RhmX;ms!B%cWoz79r|#cqzO`P7~gfTtV>!wo*Rjr2#kZ$+?^l
zSN+YH(}C;8I|6dyKHgnYN8yeARlif=G6Bb81Nc?K*wTGC_Tl8D9$Y%v=@k#p&WSjg
zz=t0$osWZQB8vD=z~ZNBzFve6)eNPY!R>EG#xB4LR8A*P!kuk-W|r`jrrP^suwj3Q
z`5Aa`&PiQucvRN(gf9Gp>0+Bcob)cp;28Yb;kxE=IOxwwZAF-7I=7L0Uy+BumIB;)
zOq$XVt`|Pnum>(?)4E~~zsZcKmxOf&+pA3Bkc#uFyI{w&bCve+?a3nL9dN#j&+l_^
zgltm9Hdt#a=~pQ1x$|o&Gdw=ZA{_#cAAc{s2`&-cS`r1<-1)p`BYZIC+V=>!lefKa
z%@Xqu98u1(aFSEc!&TVq%ir7>*udbG@Gtn$lf_+kV5ZELU30MPH%FV>u-(M-jBl{X
ziseWW%%%F`!8m-m{ottt_%BmRVh?;~RkAM?Hd4QTuN&Twl+K<454B!rYlUm+BJX6u
zGE`BlEwC5M?{^vS>1n^%I(TzapMC*cBI0$U27W8A9g_$9dD_yI!P?To^d)fTWAja=
z@D7G}tzuZ#>{wVKd_~)}sT97Gs(Q5m&gp&{K<c~cu>HOXQ&5Ghl))nEG)p(&KP_yZ
z^WjG`S9^}azxZBTK8AnP`MuYIL-M6q3*l}K4Q(m-+subsPhp3o{aO+*tyD7|`To0N
ztZF=P(@n=H^8H^Usa3gPdfVYfvOib7=bkgelRO;t4RD{sn{o!&qIXTP4mOj{FIly~
z^?T#3=dWSf)LW01VJspc(+FSK=brlwPNAiG(h7eMFv=N+rJqlVHp2%;_onv1+5E2g
z9dPId4lL`2`3>=*vA1yHrw!X$VTvA0+a7ou)i_5B{NDKBKqq`|p@FFa*5D~W)dy!T
zWipn*;Wu~R`v|{ey&YW)8zd#M55aQW?oows%;crme%L1Q_?2Xsd&?NZ7x?id;owB#
z?<bFrz;y%ct2bd5<BHecV9mzq<s0yzPlEbaShu}(?lSynWxi$_es=4@>?Qb$>e<yP
zxLDzqs~6n7>AC+rY)E0_;tA82?<$*xJ2o0lIKXYM{Pz8UE4u~8?cj*dUp$xKG6fc!
z({S)}Hs`IQh?k^`o;HS68@zK_;odL2eaGQPKUOn$z=6Z@AGG12eVO(<;o8}>Qzu~N
zb7HnKa03O6nJ(<D8#N^d3)*p5pMfpS-#Mzlx^(qtEMcMUFbOr7RkmgH9PH}T{_qH_
zu-9|M27Xl#>8?#a&*W?80*A8{I@rU7G2g6g;qCx0aYs1e{?r#z-m|Qk8w4-^xI09S
zFWqyS^A$K`!(Cf<n0o%qw@7&QAGeJwymgAn^E$lB&EXsfZx=l^a~n=bN^lH-*J?O?
z6JRUJSkD;v$SUPr5&XRImrDd}=f)*j2-lXcOpwphY{?g`g!9Wjj`_oh4V88kF#YEt
z>+|r|n}5I5!hM&HT6w@X9x)2k!0#yx`|V-N8lALPuwYh2A8C&|?Ngr`;Ihb<#-zO_
zQf`~I!qIzn8J&U^Z$G%x0zdVVdPmy-h1mZ%y6<?dzCRA&$sQ%6VI?a`iR@6wjO>vW
zvR7qP5-Ma=WG6(ZWK+IMWT#MMB}8@^p%h8w_d35npO5$XT%UVB=bn4-8E-wToiO9B
zTkZOAa`621x3J+{R`X$4Sdx>z7p6G3;iV#+|Hei74XhI&D!~dzjp{sYf*&=#KFAKU
z91T2B4}W0n-Af6V4aF6`h8eu%MJV7cNAsqe;kYM99{jSz{eu6wOFL}JnU%8)-}&B=
zLyqrWo69>7AK&(ouLrIdrP(<Lmm4nHbiwuqHl>ckzbjV;`(cAD*OXECv>n5a5AY?*
zv+Vuw#O}@PpJ6wC9+qDC$QEvcN%-?Kq3AcTi#(g|54chFWz=i9%85JjJDj$ugSrmB
z{f#D!VjS}^8|^n%!{6-~>(&v^q3{fT0*C2OS8YZ-#eOlM1YV(-USWcHlm09}gjM{y
z&auPQWAZ=m!?SVk%2?r6KMn76IK(rhhz~Z>dFqt{+rEvP=7nFdyqvxTKbAi0A`F+N
z{`wpZ_fWXz2*EkEG>+Hc_r)rF`^o3^WKV^{N2g?MMB&a(_2B^6US{OPAvkUC-GTEk
ze_3au9DH%C(Cjp<YI2WNnZygbO*~<nL$P{?VamqwcMkAx+38m%@co9PZ8q?2`A$k>
zSY_N)(-hwK*m&I@z8)NQ)DYHNkx{UNZ*<?T)q-6doXXF`pC2?<s=_l#H~jr!gN`C4
z9av50zi%-x^}BLeb+|Ed>c3dnXG40`ahQtBtSl35U%2s98-Ad0>s%Jh_4llT5nQiW
zKK~TH)G9Bn3){N>dRz&Y4RckRz)#C|?0W}$4%9x@gR?fbxwOMnS|ef_aO(bm$zFK6
z^Z7nCSbljgUk}WlG5AOUZkfG7&pUzj!X;_(!f;vX@3*^P?+Bl5;;`xQ4h>oO;Aem4
zy|DU~rjA3f!v0;`$>%daIviJpmkS!%<zdaWaTYbW_hnLw3S2N7c1s6N&yY$!0$04G
zH#rV(_Mqk@^_MDFuO0wvd$}<x!ZeBr)#u?<r%p;y_}y=zL%}eQlNp5wJpOm3l$7rk
zty$d;m-L5-g}`aFDl1#zGapSJkn-i}j~1xl<Gp?S;c%6S$k&Z<A(QgSFj!pG#_hKS
z_BS$AyibMCZfdjt0f%avr=`OUcM~W7z_IlD$px@dt?$S$xKZ?%Wf8n6s^CaLj@Rq=
zp&afNyKldac(h=b{WCb{=K;4Zh`)+5{!|MG1tvIehI6JyTRPy{0XI4;*o`|_vky*U
zXrQ)$l}qnh4#V_UtJyEXRf}pLCSi-nO{^DTu?4ofpJ5T9)}*VjePcD}0_+mLE#WeJ
zE-3cXBAn3Mxh)dbs~jI#hc^b=u!O-+%xW_!Cb3>1cU#g;Sii=NhaSE*XBvMUw%vYg
zi~$yJ-Lx$M9=~{Rhyy+=cX<oBUK_)GTzE)%shREf;Ny9GlY+2q1lQIKIM8VFmnb}U
z^NRrKUmjo1JTD2)SFrNczzW=P8)V^=b$)v~;M<w+LJq)vs=A_`@brgQQYtX-JAQ-R
z=ucI~b02HL8y8fM3&PD(L(TfI){A*74VdM|q85oqu5_Lx_ur014Sqv-%9Z~cx&NP;
z)w-_@XKbYT;Ro9&g)iyBAO5Td$G~%<LFY7KZ|$+Gv2bp7?)ouU<NLv=ESRDw`RY;F
zi;L}M4m=@P&q&H|PjE;mhgXk1iar9rPEkoF&p&?}yS9_^$3Mm0eFaxjKfa>?ht+%C
zBhOFw{hLoJ!Hcxp1iN77fA>bDVavt&-950!kDosj;rVAV(#x=-dc%1V58Ue__Y3}>
z7c@ZXXRzdZrzD;SS$tldAm_K?6nlpR{Hb)7M+d$$`PAqT{F+HN-3V6r)}t>63(?ux
zo4_o>7rK>UPUBxT4lpO*{kMv+l%$A&6a4C+nxQ(J>SxRy3hOg^sVl(^QSqZ;Fs&|q
z3yH5>79381Bll7_s=#9xJ#v!ZjhdMn$6%Y&e>3mH%yQS2HDEJG)&C0M-MXLkT;ZmK
zuQDX=xOK(Q9S-#P5}pT#UVZ*C6z+(Qq|1hf{=WWn4PFub_%;V_J!$I@1Bb<3&`*c0
zM%|rb;isp4GPB^O=lj2r=lS2w8~IY<GmEl6$n*Y%w1R@WFiXF~S~Z-$S!#bWd~(*~
zA9;V^Gy7{!zK=l)GZ!V^hmwS1-jna^(Y0X*1zeu+Ev*O^IT4>m4}V+^<@^s0pAAl-
zh0SH^-JioP`@{su``EW2tLb{!&69l>FPyC`wEh}Ca8p}M1>Tv|8uShh%i1G)1U6HD
zp3n#TEE>t%!>te9SwF#!gL`FcVLx4;yJN6&l!DS(c%!>8_YC}YdDEfOa7a_>=q$Xc
zDe=X5Sd}T{BmETmn?L2HB<^^ZBbyPn{3R<z-fz!)AK1wcKTmMl>kT(;=^7V+MG_~A
zF2X%lQlkf9gLt)E^8PzMGW<{q<~-f7HyHNrh!s+VxlVcr2f_m^%Ckyv-|Xl7FnBCs
z$xR*pB6Tx21TIL(J)j9E`O%8rfQ9m`i}m2jZMnixu(9)2KLc2gj<0~ck1H|1`ECve
zQ&#8Rf>XsOb~(dNoBbNQVZO-6nO^X=Fsiyvc=3szs5d+)HrG4`+r8q;_lJjfUuYbG
z-JE`&34l-eOly$w3>Bu<`Kz!+<C&wM;m<DF<)Lsz-AMBS{JryANfs;>{_YuxS2%t+
zmjmmSDJd?(zE3;c=HcW<iX9(e&DfTlIrzg`dLsFL0cLd>44*MxCHC}M8_X(D@_`P{
zJ!ZPG5oUbqWWELV5lZ-12PZEY#chTo?nzvF2G2E9ZP^BQUiG|C0iX6-)MkgV`tL^(
zu|b;JLAZ~jXW{`Yq*Kix1shICxE8}BGR{#7@bPjB$3j?c;fB5v>@HsMxf~w%l5JOm
zO)UDyAHx&l_K6xWON5k56&&z$Gn*bfMQ7|#2@8uH?$?J^z7$T?!}s6LnVZ8K8k@(+
z_|02&vk6Ps+UvsfJM#Gl^bV)sy{$JU+u`-;qau#5XwsN#AAIxUuUrrK!?Ev<z3{tX
z+0$OI=PS)GL$HWRjz=J@!EQOy4_{TBkqCybdlWg4-}hGY^L^=X&eT2Q0hm?E#W@w8
znK5`r+QW4f_Q@=GdAs_X4j7Bl3v%Gsii!Fk;N3TyA3cU`{m*Fjz;VM{^<TggzA{#{
z7!Na6?0MS+kLYojQ^P{0g_f`3{m}(B+u+Y$XZkzfiJ3?XcGz_O^}b#>PW9yYe%O5`
zq2MDdpd<Z>jK^Jj7-sYtZZK~DeiCM1x9gmT_lBg;Tf@A2KHpx1E2M_KonSMzm)m~9
z?Nzy64shsi{h?L(74Mft5BQ}20c(mcm``0VoO6Rqcxw46;TiV1Gd}R(qszNk;p_jo
zx{&e6Dyi+C+2ErO9?YDFh0^|W*bBFxuOB)KFH4`;yASSgTeG_euf6;BP!$e$_-^bA
zzX-_mQiJO)MEWklxl<FL-QYk`-g<9%!(vXc2V8dEP%Qw~kyU<>3&(y}-sKKw%(@Ie
zfREd4y=xDfi%8fM!EJv-Qfy&&9rNS@cte}{Rx;i>(aN>;3G8yFVT&nTYpJYP26Lw0
zj@E_$acy|}40hLCk30t7=MbQI3MX{;P^-d)+{0ltaL+Y)3T2o-a{Wa$e8HPJSQh^E
z=0C+IIDfDAMQOM+>NaIFJmQl2M+q*r(+_zIS6*CMQGgTXc(!!HZ-+Jhk-t9~G!XLv
z-szLEO8$P0^L6i0IQZs?sB<vAsOjPtxPt3Z7^%N6H#LIi;HxQLuZO`gjNAS$!Q1m>
z!$V-spshx$F#XUS=5*L6uR)(~8t?xhJTxir+vT=x46x%pg{XV*9Op%L4p`Kz_%bQ~
zTkrZHC%j*;b>joL)?Kz=1ir?;Z<Uk}zh-bx6gHhw4<zH|T`7O>9)b_ONcJJ+O;dL|
zDZ=kui+>iuab`YtmT>d(&M^{KyOkwu4Trov=u`}=2Zij4f~CbBHM3#XM8=YvaNWr(
z$DhF6K_B-g!k6POYL&rM7Mpd_;FCWenUMJb;o~zc+3?l1RQ*m^X+kOPJ{;D0zpEb>
zbm!Vq2(yaEzwLvkYJK~P;6D|q1|zWNQ6`fnSk^;ZWdPQBbcU-LR{EjWGzJ$59#4G>
z?{^TbCFM_T<Q3_J#cU;ClKG81If_Rg;H~-$b!2{H-r4Zq5d2hmi#9#xLyRvg1Wm#s
z10zRiVV;RHwa>86=Fw&{e|aw}LUkE#;X7AN<}XjpF<klq+ohkEr-Yf-yZtF=FkZ;>
zS8N@}|98u%i~_dpST9(H<!(uc)5E(D)I9tFCkpP*qK3H!8t;w6AvOIO>~Md$T=FOQ
zO{#GpD;#64$VTcTduMc)I9#r~_O~7G8{<tq2#fCgafQUUdsW_6f#1<7oG10Ye}{?f
zQ8?m>#OfgY_~+9>3%Gab&zD}fsl+D73O;&o(SywIEM$oAJHVq#SDnfHPWSenX-9Z1
z)pvRVK9Q2;>IpB#u8))Y&I^nl_J<{TqW#JIsOET{tvCFQkv5pjXPU9v3;V+H`9C+1
z`Pq?f&4&T7_C&xMSr711qh2}~US}|+AoFF@c}^1Pa3Gt~ESb;Lc9vMZ3lFpJK272*
z#T@<*;JJz<S290&qvcp>4$K=}G)d+=j~R&_D1hT-I7i5QY3N5AmpnM!^PmlxUpxFz
zajFzP#glGM=GS%}NHr^hm)^ZG+yd9Lc=wjW9d=T>WInBRBz<>2JfmB8h}55~qV0n+
zcn7D5G-<EAyD0Pu;Wagn!dkf0^Vypx@Qc@74`0ClT<57C!_zfi1pXu5R<hm!TQE9q
zBG;P%!+>l%y!1Kn`hB>DJ+z`1_GRb}BiGmZ`NH{bxLIS4A{BnvVBj?fzd3v4&uw@h
z!T&)&+{0vX@fP{~t{sA-@TtRjzR~cE-C^rbF#n;(MbiH;ALt*Lf)#zY%!a_qf`U5Z
zu-0R>Nz$LcV|>~&14p&q`g8`~<Yt^t;-+-V-N)gJoFDeg!ZXFn?K*I4ib>}rym$4w
z`azgMv0eWwe8sHih&X(8h`(+crk18Y#0#HIO+5S!j`G%(;(;Ft)tp~|L#dp~$o(|)
zMzZfe_+$0-gDtS)$*O`s@b(Bw0Xp~!N5mt>S*#Z?4%kiwt0%jj-2}Ty+om$X*VLuF
zxM79UFJnmg&__JdJK?goxhyPjw$8M~emH*nU+PWp$HakEF?dLSC~_-YE2`oz1M4_Z
zgtEcWlCsKjFrD5AH8(6_m05EHo~T-1=Ya3<rG~4(Y^FmY{P6F7N@{KRB-gLNUGU!k
zsw7=FQ>HXT0&br5VKaeCf?ft5fZdw?2TkGH^~`lyc<R*`3maHEvvgG&mbG8vvxSQ~
zqXG}Z&P$H>oZ;}6r1Oe!aNX@+9`GRs?sZeR_8`jzUznqSZ`Bxf^iHx3gbns-M+CzP
zY&^rEa7DAm)j&9cr}W=-IKMgiW(I8dN;N1RmOdC3o(^9uIIW%tXUrSZll#FHv3H8~
zaEs~7337jGw~F(tg~xJ#+sDGa-5K8Pu$_Lf=}mY_%PQ{;ys3YpD-<qdw|+PX>nvVx
zz6@_zcyM|MW`1g<9SJKIJ@lA^*M>hUlJ+Wg`j_N9EEZf;OOD48fAR58_)Lg*C7GYy
zC$i`0Dts(&wI&Ugpf0Z8Fo*RC`=33#16vO=T;B-a{VzZv8-A%7Psad9#Y;((`{VbI
zOYazA>(-x7AHmiAf%<H4_<DZXLwI5T`1Y;v)z9uyCGgfNuVij`(vM4wT)$@RA5QLs
znKliSlIy!?)^SJ(&i;Na{|WqFSmU$^tiiaUv<W`>_x+qWEaCkyuK~81Y6_Bqxqfq(
zkpB9sujL;F*nH&0qfVHP!8G~^9NI5lJO<y>UtrXPH!8o$CHFU7$sM(Zu;fSfXJoy}
zT1TUj1#Ik)TgC#Pk6^U3gZ(ScRg?8pU7`)cF7VtYiVCuxY_njzoEIE)g8i@#Z1Tw9
zsUOUH;*P8~Y@hq>@_CplPwP2ZAMsx9Y|u4WFH*heIJ}3KLn8t{UiSTf8Qht5`)D#8
zcW;>A2=+Lm#gqc4W<@<9>n*s?(cQ>|73o(qPQVfyYmBpC?dREi_VDJE%UzG)sf(Mq
z$a<2j3Hh{q_}jpLcU|D0DK#mTu;8KKSO<9c%@zA9c#p3jn<q@;Lv7m%9~&E_c7?U0
zJA~iB%1f6c$@;C+4D9#E;I>s?KeGO0NNU=10=~<zb%m@yxtVrvivBCsFKJr!lFvUD
zj3{A*Jsz!?d&9B8yG116BAWqe@_me)cYZ$z=Wp_PM%JS&$o-fzfMY#ArIWbs;{^eI
zn3`LMlbp}v>SKH-;qz&pOk{mmYOu-)Yj{Uke-x=N1^?;y4lu3bWQYMA`Tp%CQvOA+
z=o-1-Y1O;`c7pj&%lwdn|K8DmPvYU1r>0q9XT4z)XW~bTW8{8Td*Z_lNAmd-)^>Do
z$?;PRp78G|2MZe5>b0ecJ1mjf@%}H`)BDZN3X$-Sdo9m@!kVGRKH+fk9XYwLaH2%V
zVl>?BAto^kD<(WTc^#g=&$N#`kKME69*To+nQsvK05fLxJ|pq&$mg6D@Dp(b*?9Qi
zn<BPy*q@E-K@6<k6ty`AcC7IiNQODT1kjT895Qn*mWl8ty6G^|-<aQUGN^~+Ce$oR
ze^9F(#nA}=_oVY<B7ETO;O$nJPvlW=JUn%b%Ki<!m@9dL^bgN$PJHTyJ<d@ZlKx?6
zbQ{$mtZ`D*stOkPeJ*4SR#^LKTnRVS-99@D2PY+ukms{M)YJ>#;Vco0{!utNpySvt
z_({x!-5N}lq1LhvTeRM@ScSQR&&|`!V}6$Ip#xd}btw0z=VsW5&B~gr=h?Dycbx?u
z6t}P^>+ycQ=MUz9t*YoO_rNb?5^{FII!kK~$6#-60scMku<m_pEjVr8Y`G|`;Bv>_
z0^ZqjSyB?VRaUe#hjpV&nq^?Wmi@M*J!gFUs&*LW=WjD7>!q?^+iX^bIW1KO$a*W8
zf?qc^;oA&@UF3RtaKUO?7ruN#!7?0<k^ARj0`D$;YZM0GpkMuM4j;T$Zk_}mxq9!S
zEv#d$Vvqnc?-6_N2>VAT^%cVW!9ymVa26x?yL^~+^vCBju<zU7Jyr1cuaBHBz<*jV
zy{&{ZL=TBygjF)9^&8+r^t7V4;V<k>63=0|{ciS2@PTZLk}`PV$kvf`_-O2_+!DC6
z=iIh5xGKm-C>M?p=1Izi&HP^TJb+F12e#dVDH=|urNes9YhRbZo{M{Lrob_jF7ajX
z_iyo=v*3Z7^emO|vj2CQOn6Y%;eIt7b*h%J6n=7nL7)j9bmgEbhTnFdt#}1j)Q!>A
z!V<0A(jBmlhAhPkIK1!H>n_-Z=`VFV>=UM}IRMMB=>BViuijqY@(~VlDZ0`FyLOk|
z8i#*3uK0JscOIUzn1th6%-06s=Q)FBKj1a{PqXjgjFY*$mSOk9N~b@;?Yvf*e_`W*
z0Ouk2Q>v)jI!sH`_hk|`*IaSnS-|}1x$G7ams#!I&kKj|UelR^_ic_W+zoSN3#d)N
zF=Da|`{1iqd)ofO?tI@OCE*7_#~RmQiEAH?q)GX^nd($n|2{;M(y0jdY<r=!5uV>0
znRXbyG`XdY0d`VQ=hT4PDny>q!OgsfCN$xPQh|q9;Nzd~eDs5d)~Xn&;YWr!56{E2
z^K{Xh;Mh<rp<tNTmiii5kFQzmws09fyTOo_9gavIoQr`!)hn(r!+d$)Dq`VM`S6Q7
zU~k(3=@gji`Z@1y@Y#dS>v!Pqr7xCt!qykA24}%-Cmzj`_5a+m4Xh8~n>VEw_rrV#
zL*fcy%_p2+$bN#^osX=F;ca!c?ozNquWfHPT(~1$WiPzMzn8HK=GU~U<%1<6N22=S
zS1}?_dEqmfd9{7;ZJueV?eHu2N`-kiA@c|~sgF^<-_(n6MR-sK2W(_X9YV8+=Xvpx
zYiw}sE<;^9n0D(7E&0AO!RxKeuzYX&Iw`+PDBG3|)(>N*BH#C<oarzptkPJ$wg<iz
zPvyH4PWU9c;Sd~QRsBtf#P4>m$imN)II4x=0~z!I%CLOF^-38y^_PyDBJA^aAyf{2
z)^T}O4K6qS^xG3|V{$K*firj<#XVqF0Yxz}ScjFl#0OrPt`^z{v*^W7oP~?*ZsiET
zdqU(K{NV)gO=+aQ-W+(Iavpw4JF<hEk7170_F(w_h~*YiUw1Frgap90eH)l);G?uF
z8$w|I_=}XJJ${q8Aaez-D$~76+AGUn#{VMV$a4+;t8mes>oeEj=$}c;i?Hr}PPb^-
zqk(RI9)4iCttSc|V<?>_*9(3Iqc}LTa@Xh}tbLm+@)pb*^5bMTT(O!#a~qzNKV{Yl
zU%1Apm;~3KlIeL3`w8E9o(>lXWVJQJvO;W&sqojrbJ{g9uRitHJXqgbMUM1;FK!3$
zKZ0LLZm%Hy-#dqQcWYq94zctCxH#6)wGK82G22-VQ~JH1dIkSeD%koMK5l=etOf4Q
z?7U5mccp9WKqtKZnD5pzSn<l0-(7H0qXtVoeC+a1{{dK8EdKxfSy+z5>2WwkMmb>`
z@r04Wg+W-FZZ&Ndz893MKML=)ILS}0SGfx5_Al`FKiM3Va7=xY!yN1pIL1S+Plb{_
zV@q&#2H#dzSW$Jj@F)D^-I3dz@cT^ae5!94U-?mbja;8KoQ-}oaM_<XwB&k8RAD?L
z2vZ6MPmp-;_xJL<;Tip8XA<wNT9J{4Lyg~?aKY;)Z4|OFuj$--(!T6y=KiU}Os-rn
zNqMg9`-$2lo}t<z4o{BBu^GYwHAZ#+Z?83+!$xpuo1-eZ9->dWemDzPwO-nJ06v8W
z*)y;TpI7>BII%sJAsBw{=Wv}L-j;N&_cAQ&d6tP>f4olVT`@34hv{!pUe6$lHX4qM
zI_6LMpUS<$;fe5RYq>MzdM<VrGE9c2UaNi+gdI97-W0<3K78*b<sG@}ZWoi!tNb<>
zhMk7hw^hI|1^V=a;QCt*g_SVXz?c!a9(RtP&wCA@Xp2@p2<M!Q@oR<CkHj^Q>;LM_
zgP%8jM}H)(cZT#2;+g-rnBeUWMqf#NIaST?;DW;g^9D%$zFFQg!41Dj&#@-oZ{N$T
zQ-bi{6fI+N{uk;;_V0$%T~vBWe@Mw=Rk$B!sv2!0$Cn+*xNrdeC)<Bq0<L69@;eN7
zykJrw{q1DM$Ps0Dnt9_3vcIb<-nvE;R##1WLiTsfHs{Xj!O3S&Rhhy&9*DV{!Fi|W
z%Z%amJrf%&VTmj6{&R#)tIk}uhc*A06_WjBri|~7Ily!mG{ijM+PyX{?(p$ruLa%U
zZiR+KPh#JShu*N>7XvmwxaO|p-81l|=g)`F!Rvmzc>UoGKaSZ1!70lrThGG}%SC=%
zf&WIH;fR2>vTJ-I;fTmF=4)_EtmNVA@S~$|;-cZdvnLhqz}9>Zf}`MuhC!M%_(Ivu
z4e@XVB`sAxERbRHm6UI2xY1Dni&7pslMI_rSG;)+zx}spMamb(9!;r+tL1uzQsKxd
z3ifVTJnmIpB7Df_&Zi!@v^iJxE<7C=X-dC@`<;r(zZlpfLac@wR#ndY9R#}-l__q5
zAI!8bUV>SdD7_hBx0oNNec@j7kOfxwhAN*Esjt>8-2yBym8RynD{Nk_o4o^`r}FN1
zhBHUf-fx4s-EW(pgnwgNU?<!vQFGiHzJ2Os6gOP5GSNnU&zGU?w1Tj33tfXD{34lC
zksq#KIH0TzH!fd$E&|iG8OUhDB@9a8qVU$XJ<s&vV(qP=hhQ5!oBKL&zIu<IBFrT%
zx!VN3BdGHBD9pK_!EFRLk5b)Hhr7MGGAv=u<G$OE!wVsM6Hk!Ow<(P4!4IGO-D(ee
z@^OyXz)|I!H`>5jraJ7_aGZ?N6>|KsC2kfESfEhZ(*Rbzb>X55+)|L~dIUa^*SB&S
z-hS%tNhP>OmTI3DY(Vq&qZFJQYn$%}hc&<IBG>P9mPQFVUih9T+H~*?!<x7w>?Trf
zOrE!lWhI<W!P%=Lon(Jv^S;khmhfZ4p+V9=D{=C3S-@i*be81)xF@|o-4Nb&d4nT)
z-aDOONlni0%}EoxIXLn4wg?S)^oE8zxj$x>e-%)H9W-ht$n)#-#<B<UFzt@~dGdVv
zELBg7)c@!AZ$HJud}iLw2jSL^FTJs_z=oFJ;_y!jCX+}wh;QdPP55BCmP`n2Guxr8
z4RZ|hKf4Z(vG1y~h5uw7N+s_nQhkmKq`ukaPVESUyGsf`UxFp`4HkW29-k?$0QlF)
zrPCg;k|Oh#Tv+7Tk_35Qe^Mr^_5k+WB~VJnH};4gR4#{^J3piu!K+_Q{T{=Xqx78Q
z{p^CM-27{}#o@}@QTX2=&+}GT`;~5xF03)eCf5bG1#I&r<&%y7QTD)sH%EVv<J}i-
zy0{9v=OxyY_dB1ZTJ<$}c%#)(L-=t+jtavM^p`=EVr2ZK@?7pFCfKPUsMHkZ;7+~4
z20NeF{m>X*y_Idg6<(2?7AE^&bQ_X;xnX6wXdX*gNUE1w5FU$+6(sfZ(5WX>6#iwt
zpECeX599eF4o@1pW|H^0nHWK5IavDDzr;A$S-Jg`3cR!W5l=OI`Rw?J7JOruEE{>A
z7+G>s*MmQn+NY4`pOHTyji#_=<#aT8{yA#+#mWL+wl$9%gY%gf2JB$!ss8X0xO_*T
zk0b24eDwM^_;Psmq6bX-yYBJ=Y;=q->I^L5Cmgx~?e(g=F6{-_@MnhqKg21m;=29e
z+#G}7<oS<=w#M)Z+<&QYfjs}UKcn3l0(bTKdT)ZCN1x)1gV&vPt;zn~3M<+tiLjX7
zBU|$Pv8zB%A|1XVy2+HhFBnP8v}D2-flenxU>3<;TDdS!U(<1Nzhz%NQd9_ElW*)I
z&&QSBL89d_ogDY;!*DkD#L9ngT6B{(>5r&F1<t>KxyE-KQHO1!V^nM5BU81QL&g01
z<&L^$xH6u(g7i<n%1SL-Vf{;%m83tkH(T!Ogtt7nUrhR=%#;uG{qVYz#D9VCEk%*Y
z5jfYvFFydTntvKT4ZC|L9ee;sMw!!%!Sa=6O1ZFjvhN`hj|u8J+5$_iQB{w^uj~`_
z+Td=Vw?-@Q`t5Oh3G7F=^^omZfP+W#Jtc|#K4t!fdG8)R?+mj$Mef}A6VJo)J|2$n
zX(1s)dbsG*EAMdl;kN#cE%37159cuWrHiZ^JIof#>7E1^FfM-Pf~9;^Y!hHT8a6#X
zxTNjJcp=;$+Wlq^+-tD4KOgRuioLTJ*3P+aN%9kHKWwz)AWVO`PM_o_&@W?~l!Rx3
z^*SqIRgFFe1^7srQ}a`pwUG6;JS=zPgIWnJSrL<{1@}t*6)S*U-Cn-ZfJ?Q#i?ZRA
z;UEn?c&#oto8&v#NAu*OE<7%?v?~P`u5|uo3<o~@yOrcS*lC(7Y6PFY<&zi<PpNC?
zTfjzK0Z}C1fri<oA#-Bm1=>(}G)&0a77m?W`f~*?rZ>A~1K$jByW|h^o?qMK1hWfx
zoF(}VPM+DT;sA^AjLv((`5bMv?lAT1Pvai2UBs{Nt}wrV*(nE@Zhgrk23CmY6eal%
zm^IikZ^HfmCFU8xUH@`;65)%o!5Jjqf#>sjgLqh=`WLqb%wBf9;|?sL^@&9d)*N-)
zm;#UQw~SSQk8BKDZG!2e&mTVkpLp)u+zhYYSZ<evmu~tt_QIzEuRkO0=ly=4*giO2
zkM58nyluogdJ4X9{Dy!W{NbBt-2}Yt0CP4u-o4{>atzBD4^~cb6N2x{7kSXZ4`+D4
zaKqn>xM!H*Zj08BoN!e1!KW<nsa}<n0<cx7=>b{zamooH4*0BQ&>uP2&!X)iAFP(k
zzibB6udex%xP;${#uM<z5AMH7{6U*=oeO*}#eJLy*1qZ#?FQ@U^f~T^d1u}-dXvwm
z8dwOzOZHp(ec&&vRRjCr64L<l0Qg9zc*kD&*{yoPKv<wK)qvE8+2;K@p)lJc26b}1
z-OO%Qih!512Q^jU<Sv=&7}%9dLs1zv-Ezkw4bCWIYQ6;T>S7&CfGZC?>I{OP>4$G2
zaT8_PzDzi5567)+xW^);?JhhJ6J=WjTjdXSzk}DF>>n;CpYM}=-44rdWV!eZo;$zL
z`U!4gvp@d|Zu}klWDwr%GkCNGF1DMKnt*K=-qn7BcZSun48z0R$G;Dec%gG_FKoFz
zdSMRc+&1Rl3A-jx@z2660oPYv!>Vb&Qn#$&dP}}iT?23Wj{nOIr#J0WsDOnflV0tE
z=P#8q7Q;>F<&wl;k;x6wB%bNg#3ln9`)t2j4uA0S9F>JnL^^ML0jo@}+8%+YJp7lR
z!<5@i*Hqysf40>&IOgc*i^t$YA9%mEz`HzBHFe?l?H;GQ;I52MD(-N7tMB1fxbM$B
zW=~lEQ&laAf1>NBzYYrqhTbA^-Mf$aZomn}ueNl<7wV+V65!3!B~;}6gQ*=N<KX#^
z9--v?5AOB3b`SO!m+)wUEoxGqX29Rs7N)D<&$Zk#58(}?Z-z*JR^4*c^*-Dvbi<nT
zcPVuBQw8vwzfK0EKjVv>+K~?r<Op^=gbk={Z<oQJ!v8efhvQa5T1sH)m@1WY*z=uh
za}E46)n0`3XY6})66@eU!}sz@f5&z#i@6Uz@$UDvR9LGlX6OTK$Rtaf11HgX4}6A8
zlb_6Iz}Jj}n5JNF=8ImWKm0OlME?_ZVEJMa4;w^SDlEZmFN?cLzL&=hwUxhN8F%|v
z5imv1%h_M>^yNJoB;U(^k!xRQe_?$DbJ%{;-Zxzj=cIwR+Upkjz=Js>DVtz)%9&?j
zBeyYUX1HqCKE8`^m7b>Ee%Mm?;R1<wYnzK5fR~i|&yu*rWve`OI9UI>jxQYcd26r%
zoKT!?MC$LtXwkYBEUCg}`v^8@cA_zYhlKx3kl+94&7m;-&zQOmhL=B(>&Zo*!PttF
zr^&bIhcz=pJ5RwW*Y+ImgWqd@@p6XWbOh*sff==&=e*$WtxKv?@P>9)b6+@pr(5$n
z{PTWFZvaePHCXu<4yWSu35E?vgsL|q-%tCE`-|7$)4$?NnBeg@Gc^(L*MJJ~tuWp2
zd8J#h-1JUCHh9liJ!2fqy+h>z7kqrkDIyn+U$MJP%G-UbGR=cu@m$%k6W%^-*;xzE
z2wWQ24s&j-&a8*6Rc>36d_+4AYwT=+=lsU>NO|f!wyHO<@vZHK2Vl{pZ22De!eJY=
z{V?yx&2;Z!7lrdLNj{{%hMD0*aDnpEXOb|d^%m1l@Z@y6yds=umEAoBtE)5aKLr2S
zvm^Tp+>**ytO_4|T(D~qR@Jr0QijV^cQ1T{ne<NclYC6KM$b+&uVOqqR$zg|Pd%OH
z+zjtsWjQTJ%8Q@7vlSN0kg=D67Xs&6*<d4Ap%L<ZO>}>~;)feo9h*hq54sV_g0OXf
zpXNchU}4kNeQ<PH^dWJ$?e!&%y>KGq<w{}l`7U9pFxaL#hKCtmX!^7<99HB{$RPDu
zljyzr7``L;TAvYar9b?-9G+fmen)<<&tFFByI|{$i)kd@mrxbk1D~Fm;bw=E73Ude
z;g7<+KR3bqSGou0NO_v==eNNT*%^In@Mo_8D^|EY;?lWwc%zAvjR3s6W@3rvH{Ku9
zm<{;gvW5>0bnvSn%1&~=TSAViY=LFC@*2tcENd%nVTD8U($vWLn#Dhg;efxTE6R$&
z89WbdxZwSL`=62e{5#L~ksnUq)tWB_=P7L~5QOV!o{K8M8&j@{?1RM~8tznpcjVvv
zwI7z1Q_egJyF~vzFAZnx?~Wt+wB}CHYskV;9(An8V6l!%O^4wx6?)WKu(0dR1ZBAL
z-l1><*u-W7s}{_l+T^bXH&<>Q)h6-2;#D(Ph|$pE4D6D~SD_1cEr?$Cf`!x-q}5<i
z>14Wd@KwfQVbb2{<Ic$Y!k>6vKa_`a4yTnz!A-lFf=T-gdg(bC0mmEc`MVcR^1ou2
z0W)Xo_6Wi^_8yB%hfT)ajk#ft(oE+2a764&bxzo>-$gkac9ooHVu7!wJ*&xsedZLN
zlJ>)+czGcgo?En(p@n-7wRx4mZ~iOULk+(*ip?m3r@1<E|DeBkaVzI`8|)mme)b34
z$UN)(7LIuQ@f(Rh*Y<Y!2nU*3zyAgQt7O?Y0uK$ae4xkink!CR`3xH<A8RFlZ`b_E
z`8jyXrAL>vmjg?`XV&1-94QGN7<(_D|Aj{$Gdvc8<udZ+sMm149g(_E+FPi>7CKsZ
zeU(m#<Uey$ETP&4n=a_l?}3ke;O^NDw*>HA|9|_6q0<+GpJ{p6k@_qMS^Fvhn{?8j
zBJCwW=(wjmynQ=|3Hd#gKk70n!2(p}rlfti@6U-+BcE@2p-I|@O4=R^4VW)K>NRN}
zO@3GUj>B<vG0#c+P<zObs}DyRS}2&q+;omY=J5L$7W+-%J+YxpmT=IESutnW@ZPBE
zDN_Fa)GkN(%kp_vM_8JzILi~Zx%EEQ17<b2pWqIc<ejzif;HXU*?r-ngSQ4l;Vu73
z&XDp=)=~x6;2TZL?&sjctqCI0@X+Ru)}%b=Go{rSxU=Q%&?UHp`rpsH@b5!b^%r2X
zp^}%G@X=;Y)hn>;i!Exo@V2ktC4=G76R+6v;4Xo(@^F~DUL?L0cDon$Fbq!M$(AUG
zt!Dq`Cc!<8QledO@z<SaqT#1v9#-$*yWgDVN%@;0f+s$~&3dDq<nMVLF^e36i*AV+
z`oocCMKqJ}_^C0~^RWGmA(?SFky^CD3w|_w;J+DoVPfQo2OM<c<m4CFaau&u0bb%P
zbXbJvdOix;!>vd96XxMP3cK&0fPESHS(o9_gYT2b^{mx6(MbLtqp%G#1AIN5S@kP?
zg^GoO4(|UZ_v0gcK>1<-dA_>WukJGe%Th{slIN=s84F4B{R`LR-EPD0r_IYq+|~M<
zC3#<ESlO>i&bPntzYpYjq$-WCZVDEB=g~@@CoCD=7D@Rldy2HZ;U{zEr{~~pC+rl?
zz!!V&W{~scWX*o=3<rOY;QkJ8&@(D@gijm2(Iw|w=9VaG4GR^OwXVS9Why+Du*S6?
zzkk9<4uqu}!lm53{(s?yP_Y<&n9gfk-WvS&l=mi0c%RDm-IRauzSOv5T@8Lgf6$x)
zHm9-<R)jOKeU=Ws;l1JPA^5D7CN(WQ&8D^>0kh?Cgl>lYq9;el`<TcnvnNb&K%9u3
zFdR20Ai)khZ+~q_-p>|!Z0%WL_8_KCZkT^k_!9^0!2GCz6Mh$C&%6V!ct5AY3U|Z{
zMf1XL=dMX^f!VsccsSwrp~hv)7?0Tg`bHWbtU5W9{R56*q4>iCucZ2Bjl){bdcoV^
zL!kpDldz5VyJ7P8W7BPmd*I!^{Pv7+=XzcBdpM23Esh>$U87KJhqokFvu%Vgl%G8I
z4!$){tF{5&W|h(M3jS~1y7?FCGt+&!kBpZn@DweR_I9^g%Df&P+gunl0!LpJ2qEPK
z578D6!_Quyq^N~YvQS9BhF?A1v+pHrf6T?H8J75AS5OU`1wQ{=1Dm&{Ro1}0Eb&@Z
z@O3`=XGQRaZ_}+$;11uz%_Z>q=4`zOaNV!|S~7pZNiFfF5FQFHD073UG;?jp^{yPP
ze1MEMzday2SPZxJZsF5|hcE6{EP#*Q@Z}}r&7}d^m5*V?Disz5xX_t*hV%z75BbKD
z@#c>E$u7^}Z5IxQkohuNde)Q*Sm?xA3NoK_IV@}|`Tm3V<d%fsRl9%c)v(vNyAKcC
z!r|H22w#^IcO>&iQKu)C>fzjvr^Z>~r;f+HTj2eNg?hKZjS@{+ui&<$Crrrrwz1P5
z-VV5-Y`X>-?<>u}tN#|B+@bT5j91_1`unB_)=i*&O2)H2)~=_&hj$uw%l>~nkSULy
zT>ly73ruAE&}UU;g7hCR7@kFw<GD`#8z$G!x;~>fS-;TwJhONmKGWU#jf|(W&-@c5
z*Tc?9zj5+?c(2}HBiGAUwnL6Aa6rtvS!wu~+tW?d@YfwXxTWB&HY+#(;O~j7dfZWf
zU%$Q_{2OjbUtN`jXIIw)$^5EmlKO=su)*>0)1P5Yg>qLJSh=oYhK#>ftzDQEgY|^u
zR>^#EkP^49DC|>Owo(LhNgA~rgp(-_Pm}p!fvjbb1MnT|r=L?{kDtwj!mzff$Z|Sd
zv%6b~AFfdB_YH;199Ex;z*@a-PFG=hDz`uqw-quxMaIiJc65H#geipnaFFrn(!h`x
z+VJ<<np7KDLiuHx3p^ox$Bx9Odcv-{!L2jqqa>bxFY(`5m{X*w%L;zEa-!V_R*AZ5
z><HK4pDF~vlsl)@PQgbVCAk7&caaA#-C^&;8Y!W0COh3zvfjyolil?itlHKf>kXef
zqHrn^=Dc!=(+keq$Z{|l?x2xMI|oZMXy+Be7k`PIA?x|FKDhPg!y1%+^JKjgW$%^l
zN|^BxO(*&LcUICVpTP+Wh6a}K-pRaxcG!B3P0$2ZmaWNu1Gnqg=jg!4c2^7c!2ObG
ziDZ4{?63TlURZincPknHzt?Zwzw0l?hXgCGD8WW4di1>TpLwPY((r9<Axbe=R$63C
z93Hb~mD~saR=jGz2No6lRU!#bUb}9z8!j&$|0Ds+FN}5azzP2~S<Ay*>eCHeuw7O0
zO<DLKv#Kf^{QmEC`Xlh5kGdoaJR9gMuLSF4W;~{Y*Z&-=P=ke;GjnL*)Ek`JRN%8^
zhS_Aj;2Xi2cr7@N-XLKKE+4J@PRd`tv@xEnUu8|adPWzXuKE{3)~~iacg;LT%5$99
zNY)E}%opW0f;YMtF7?7+kFn?)z*4&leBQ!O{X1Tp!zEX;9NJ*f_$R+iVUMh}F|wYv
z?62oJ8~7*PLU$c}BUb-`6|8VW+xQvWAy38c0KZ?CS0n2Yw`xop+QT{HiH&4E@6P>6
z?XIw)Q%HFM-1FG)pEI17KO{-kCqC%oy>uG(l7B5o)+b`sWWFb?Ga_)GtWWfkzc1_u
z?+s*3N`|k$J{fTqmSk&8xCZB_{iXDW&)<F&77C~L^h=(Hvm>aeF2T_;zNJAh702fv
z{xCy|-pD2RKlh`4WWUzHt#Rv6Sb<)^iR|whVSRD)DtxB;@`Mu{uXUV03g&UO?sb3#
z)rI6E;NHMW6D#<|v(o=!;3DY+bqjb%)pqL**yho3H7!#9-B?^aoTn`$P4Z1u*i_cX
z!a2Di<z#=9so8(eGvP3qJ<0O0fqcZwU0AC#d@EVsUU+}q`2jpqV?smLx9d^7OU{9X
ztDaoj4L{63%2ojX`Y-srAiQ*i^=KYk!#4br3zqa~l6nQF+J1h<1_uajq;7%lB!<az
z!x9Y-m#5&9@yGv=`1}0t&0k>2k*Pou-?tj|jOHKeFZRq4vY&u&%S0p{oU%++N8-xN
zrvrAw*H0V|A@NHl?~m<)Yx;&alKlubD2)|0;OW_^CK4AC8}?9x4F*oAk^KcP-uIe%
z!{)0iQ|s72==Vzh+8Ov<{AuSEICVCa;sShirPJ&u>~F><aSj&$uJwKnjta~W34@L3
zv26{0pu}ns0#m94%aHx5RGg~Kxv*a8jxS_?q#M(4avrRHAl-EsewI)d@d_TwOc!|%
zzkK3;q6J=(;m#-VA70r#@8IqqhN)zK>ZZLvDLY_g`ECxf-*GSho-6O+Iw~55E_gcX
zgTV*5eIoQa*-xp{c28v)Zn-0*L*i+6wyeM4H*uM5Brd!DHGK0r-j_`0)5!6TWIQ$B
z0>>yjag+U<9Yr2mV(^W`q>m(S8gP_D9Im`gXG7xWdzr&c;rX4jOk}_8ZnHiA8N*dh
zfj3FMu(=DaMW^6hkIg-s;UxXQk9M$x%*^ZySfC^Mge$B<**!@1tMYeDv)jXrHCzLC
zVEy626bm>!<iHHc|F!aV<&`;{dB4_;<p1(IHLGI)SJbv&OoDmXnJ($UN;hp*Z^GJn
zKSGYc9a*P2$bRI9$~=#iU{R&Dlt{QMhx$1=KL^LPXQX`pE}7|l@V)kHa%BJW$-m6!
zw!yLs&aT(t%21vA>~N><{O7B1y@q%pHT-<7i8h@0vF{)ythMJ@L=c?P>TLT5^&PMv
zcKb3M{;N3VHyqpicpKTj{XQv&bqRKzh~G{2YyZb~#CrkG^|~$O3QJka{rn7<()dWb
z!v|AFj3;2WZ$45M@NmR%-$(d3wU(L{+$t+aJ4oVRnj4MapVblxO|Vz(zNHiJ=JUx7
z4e-09M?MCyUsY(=eVEZIyNtxoW-U|Xz`5F-5+tq~-kKByf6es2Yzfa*>%F`LpKF`_
zX9$~1scHMc68~;&Hi7H*z4iBjoqPU9lYD72B29nX;SrlVcS%0Ay^5n&E^y=I#dJlu
zXYAuATR44&x$rQ2s+{JCHN3TFE}!H}i>9J&G=WV`f}S6MuN@mS)Q34@8sxUYlP=@E
zny`DZuGS8CY=XDxFzhsA{qifx2e6e+nOy%LS^NH*g;`%Som7B>>@^-ggPX%f`c+}M
zk@{?sZ!CO!b_$9AF|fLq2#Y>)VLu9Mop~P{53A_TZ#)FwdfTyy<Ufdw&JI?AYn^re
zIl)>|*OW-S=;pxMQJCVGXeEhzzBHX9`4!$B=JF@;_{x!KURYS<$r6bV#aRvTz&XY9
zA&RiS<<%2Z@b0)v|H$9pxbj<TBRnQs9Zk+}nU?nz$q!b}dYGP^U!&{or&Dmgew`~h
zpGaSe3X&g8QsdBsHf->s;~~ipHeK|aO$%oDEWVrM2MZiObBokx_~HBi&kyFRzA&!?
z7Y{gZCHcWxlC9m1;r(16s7ZbdsyMDxLpUi~{u;>-7R(p6)dGGyn0t=o2NO+JQ8$Mp
zOXz=Q!*xy%>Q2I!8P84LgC|Yw7s>B?L%Gk9<O@r4sPk}y)$)&+Cd1czWZLZDb!#e<
zYq0!!w1z9(T;i@43e#WJI`0g7?|<7!@`X*zq<-@v<)g*R{b9w=#(bW{o(Ym9Uzm1m
zR=O{2I=Cc2@?}+WvHm#&&y7~{ll)+#Bjy)K|86V4gUt%waF#ij^zT3HF2x(c&VB~`
zr2We@zYj5hIfH48Nc-o|KeUnLD`~7(eM|cL0}b)t)nQhRl|NTt>%wJkC77Z`%s&#=
z-LHE}0bYDHni~!``j?I#gp;JtaomMls?#6ug9Y4nX{W&=yC@Hmd?^_n_0p9jZpO64
z1uwCma(W7T6rJ;7gSW5`8TP_`0qT;Bu$_m`)o!@GsqFDa_}=%-3uEwT996<U<YyVr
z63-oh19$kal6+Pvf#)~Vpughyu(5F#*5_JPqJl5&_fsYLtLiLh_wvKXR~~L0gee#=
zTkL{`mAOK?U{$Y6J;HF2F0ao!IOfhb%H8n5a>BP)@Ii&?;QjDLmZZ^_aP*i>u_*kF
zo5B7C+(Dyy{}9ZRwNa%KzDo1BTMpKm_OC02`J*!Ql;M7(v!%uGcgjt{hhgJCQwK=?
zD*2fK-{bJPoo|@4;Y%;na&+JaRBE^Gz)MrqcP!z!M_gx;;4K!}Zr1QM#_WZ=a6wM!
zgaa(97x5_#KJi}gKPUK>6_XvwhgJ1}R@@5?|2d~mjxW5|wDT;yd3MQw<ky<I$p7jx
z?4tcpoaEQCneV)P72aefT=o<$Wz39@g?(SYjwR(UI+&e|hiUI?vXFdT1G!55ci@k2
zSty>vI(4ggX>f<}t*Z^NM|n$TKHLzw&7S1nkuHrsTL>o)#f>(@x4mtgtKi7pboHeC
zCGmu$O88l1j50aiacyaucd#w>L*{bW{IG*`JN)Ca*sTIMCSIwu7oIyZ5S#}yP`ZEW
zh6lME{*nAZcaZgI5ayj>oG1B#VnW=b`e6^@B(G%H-&BEW6sD$9ut|hxs~sgj!MWK@
zA8){(N7weu!^Q<P)e*4KDUFC3Smp~?70LJIIn@%l3Y+XTO7(%i-JLC1fp5JY;&6v+
z98YD@Y_P85il$k0f~CG|_|U<xWiMVl4KFcJeq|<Rpmihp!6+=|Ua-KAZT+YH;9bjk
zavbpAD2je^e9d^Xoq}+eRqEga*w9Ysjwl?Qz}c1q>wV>9l7L57Y;;NcWD0JkP==WX
zj*F7^ITiY*O9hVkT~SaEcZ^(kZ2;FUCS51x*ITaLF@oQI`olnepLGr@1~>SG!oL1m
zn3bMq&>dFgiM1g4+&;hDP<<QjWC;CP1)ty-i@pP2(H%Y41Yd|r_*(*}4c|XXe*enF
zw)Qf3g>^#{IlfQDQe_9cDE8(GiLWRhy3q-X1qe`(>#tsmlBS=0UQl<D98WA!uWtYz
z;K)Av7XHD@VKfH2a5dYu!C5htuCwsyS=Z5@u*#nJ@$c|;%dmG#@IwD1^I!0GrVECf
z(7%KzMs=;jnn^d6N&iC`GM7U^f%?rKtRwwXlxzD=dYJLXTnP)j>x|4I0~~hjkT@qC
z-_PN}3b$U>;N1bMWrZuU!&0;HnY-Z3TOLoj;Hwu?V|Kz5M+_`^;c+4HTL<7rJ@UP~
zVTS_;gZINnUz9!E1Dp9=`X>!f_onlS!vkIZUnSuumpPUs;K#LfUL;?j6gSOjd06T~
zrS&0LA|m350z9{A!;mU`J@?#mRoH|3N1HNS+r4%}4W_h_*VTqk1@&Jwh8rx|_mckK
zD%!=^6t;FV&nNjJc`4Mj9pT~tzDQDjS7GUeQ*f8S2(1e2*n8)@8=PWNw@mUGK4>_j
z?+lkMC@quop(qhoKL=}CEO(2*UG2AhePK@F3S&O_bh*!b0L&Z~t;!2CKiymx2wM)k
zX%L1ZbIuo}!d8PDf=RrfeOFLAT&Jn{kHqCZt*+$2TC@M=gy7q4k6IqUXDH;o#NZdU
zp=w3&x3y&}a(}YfB)hEy?yWlTQ3~EJ#1>Zp>uj2CCHJ$x32mpI!87M~>5%)K=7GGS
zTG)`cS6&{zAtrRS5q{F9eCQawkM+y>F4#;xZ9B;aM)9&(s|Vg$*nV3N?)COQJWk^B
zJI;~vA_4b3N8y0$Q$I-kH66L~`3rpNV)*zG*yGE@(MdSgQDB^Wf1}oCHFL1;;rdSU
z{qx;t=4N1n54Q}-{Z->erOS7Cu5Pa~KP>TRI%yHUS-o1z0Y}i5Z}|l?md6!uhv~A$
z4ll!+EcRl|aO$*h>fVjkb$uR!<s0A)2UTD1fisL&B}x9sJ^jTmWZ@#Vxh+57&4Ep`
z(lEPRLoB)9P8~kytOReZm$^I*$DfQ!RDgLjH?5Dr-3_0jj=?+g=LSE*+m#lc;z6*k
z$*ak#2i8*?6t;y&6IXY)!z?RfrZ%v&PxnJ|zfGK-dL9C^{E5*c{mbR?`I}+z<*w59
zMmYRt1no`ux!T`q(w`0A%`UhF?`l<gLGJJLb4PaHhLxX&6_ERT=hoo#boi~wC(#*L
zO;lj}eYkXlm-7pW8()mhgMXy?rc$6j62y1YmBBI1MUm@>^Gr<gKZhgFi_-5!{LY(u
zck78GY*t8nj2GxQ(+I2E`dtu*Wvw)vy5JT2He>Sp4I~B1_P{@AM!HG+ySvSi|2zDA
z-TEep>t1~HV+qcz^kO2{zl)dsnKf7_E#x<8pUH9gDu3Zq|Kb8j`@Bx)R82)`T~{TO
z?Mm9GSi_E)jc{>E!WZ)QTiBBH_rUpVr7^o<mWD$?yI~&N2b)QMbV5`5t0KH?cjE(T
zAJ4?PIThgB%^@d9`>49KZObwE;9ff^(m#fL2p-dccQUz@lm7A7Y<-_493CneOUmo-
zJD6_``yQ0rLi)q)H0Lrs;G7prv!p!b-ml(Xq`dsH2RB@+eQVASzHsKP1?f+v4=~l9
zhZ7Rp`$>Dg+F2qW3>)xey(0Z-xW5F`6*yzzo+jx}tna=LkAQ`{PfL^fU#7OPh=Ly-
z^ZJkUuf|1`J+bg|m`o1okHY$59>&8DA4m$wz>XBMe5vpYnO|GT?;-WIc_|G}+VCTm
z^sfnb&YsSJPk(t5O!`+UO=^_~u#Z*oKhnProhz*>gqc#^=1Bj#JfR&^3`<m;@+AG`
za&A`W3wVj`jV9?|TYsyX)xux?G`u4H>vYV*yJnb~+xtHq_;gNE&TDvQv9q)Z+%3MC
z(g!cT`ELt(e%~pQ;n5G*h~~wffGzoTr$%5m(PP18u>Hq>&&FU~NyUFB;bBSZ;&1Q{
zHt&8*xU6&A)g`#}vz>(l>^Sdxej}AN@|A~4*}^nuWwfbajX<Ar7x+!-WFsTIcj|AJ
z6D<FuFnJSvR(yt!ypO0qwPD!`Q+zwi><Ncdi%e{T^(L%t`N4*{H~WR)0d;Hlv#>|3
zU7;{sL#;kT-gktau?io6A3v<=I}dX>%&v;VvCI$6FT=ds4Hu5UpCoP`yaca4kZ4eW
zwOza)llLj5gOiHdaN3ul%&YM4kXB|Lc%`|X_c}bcevsM{{+Sp3`x<;lYS#xV_^rvA
zfEc)K_aQAGn3^p_H4^r;Kgi_=w-?zp#KOlDCzCG0N8UUsA?3$n$6SNp@62%rZo}`?
zZ;yw;Yhj<blVBUFI~Cz@jCWP~UGn)Z%EBagOhM<u9k}0b)8*T6*AKy!Eci8zzu!YR
zxGSfVlsAoz(tHHhnqM+}2n&rbDL#d3w5CO~Ve=Dv#-GEI-U*^lNF37?4Y2Cph8<;a
z-~ULu@3<bnhYjFVT9SxwXzw(%X^4iRp+rMUQPCi&(55L-(Nro)dr5mJ%4jK-k@i3n
zX(z4cI=|=7_v<>Jdw=e6&VA0!yHWBjyzCVdTLIrseUbAX4!5WcEQ94F_wl#GN9^`*
zYKMDVr;<8h`SCL|AK+D5c9(8g<DIbcS6INF$NVpxq#r5J3RCKj-(7$gM(fh+;ISJi
zo7P|(o6g9$@M4dx)Cyc^!LXwW9tipVkb4vEZ-vE6$nxE57rVp@TYO)Tse}vvg`AUu
z`#i=NOW~`$1JW|E*Lq&qOE|*r{xd~bOYw;(nVz@7h_4bHWox}m=BL3HyK)5X|EE9p
z8n$YjZPkF=+jiK#hhM#=RXz**@x9&m4jyrJWVV1`jr%`qfpsXj!!E+g_s_+X^7*bI
z=WSt@RSwqAaEAZkUPqXIX@TY=to<TC-wF2LS{&33w;!_>c85pL2VLugm9A84`@w1_
z#c&$O{lF%lx?p(UoxcMc;15ZgRPMvi!?-N=z?3VkFJfSy^TXP^U@oQ8_haGU@c8#!
z@Yg+j^iSZjO4D)<_##I^Uoxx}$s{KT$9dm8odvgTZ|38N6V#YQbKqZ*w^GGmZN7o@
zLb%0lf4B%-pL^Y-7`_@g#v}tzFlx-dfKy&QS|#Im4x0=$RKxGXwY|yso&G-lFPq`%
z#-~R6;iY_mh!1eHjef@=SUa{Ms1I%`e3(zlAI^0#9f0-Oj);@`qg(pw9V2i~!5}NC
zKiViXpEU+&zquDr#;=dpZQz@N_40Y|kn!vDN4@?|!!PYxXimV%_w`+t;Jlo3bH`zw
zpY%tU;ZR1pYew*c9YeJg)VP05e|XLS?vzT3rh=IZ4-J~Zm-=onF~GN<G&G-qe;!^d
z+X}0MGB;m>Uxju{vB0eJ56kV~4Ifjecf+?j6y=;@wq##lE;uIY1>aS;RF88nAAD78
z1D`L<_<Cci2;6J!!E_6D676smgO9VZJ_v$oxGHC4;6GUpyvX>Wg2yB4_QO?l5-Vgp
z|HWE2l|%4@-%rNw!OJcz)oO4{w7X3jyx|#@oHo3&^T(+anC-KVxDotK!(YDx?r-ra
z)`gYl*e`U#v{MJENZvH<YxNHfuh|z&@+EaP*A+PI$7HTCEY`GrUI6utH|<&_PrzJH
z^Jw?N^?UMsNlvd$LqqC6sc+n(Ci%xV$$Los=K!Pq+8Nk^igT9_%;KBvZV5LT-=ZSp
zar#KUnzw;(jLG;vgzwwYI61;^zlJ%I`fVCvncvsoH6Nu(GCt(IV1TU`EXfewO~!}p
z{@d`w7oKR5Ga>cuc~xBJg5lY@K=rrqS(>x7q3{)>gd?Oq;?0!`|0q~@;kyK>zmM~y
z5RHXf3m3$Hz~P}*8A-7FdpR~TUgN!-P|svIHmW9m0xmr;wU7xjQ?3P(_K*H}y`)@t
z!zKElB{=4N>7HWv;7L^%(w@???bl=pOfy|KL)u#kUK`j~!%X}B^{>L7u1(u(VJ(#n
z{fuaz8GU~stO2H76l)^wHU0{2mQAqJrF_ku@HVE=zIJ&2MyD)kKhjkdE&K%EjXYgK
z+MiZp6U2Jp4|870yW#$@k&S)uy^3Wn9ys&jY40C!<W<%!T(C4(hW-fb*cTfj1T(wu
zY55JyO%%D2_Ab2zhvYx7<huCZeXwfVH?~E%;=INWQCM=D;`Cp*ouk%D7VhB}7^9&v
ztC4s;s7Tt=w04d?*bLt>ZdXu+O`Xp(FvBu0x&)MA|F!zT9dP8;6X~S=E~Z!2j18XO
zYY;)&?*c`iNpQdygBrK#!O{1GbNOM{n1)pySU>5Jk087lf6&_yK67i=%09Sk!vVWf
z@Q6`pn*^-<ENhIkAO0v~(2;|)ZIeEe_QRv6ZgVNXsxO%gEMZw$ngkWt_`^o!bFfQP
z;8itv>b=t|Tln}Q%`YuDSJFJ^B5c3sUX2c{`L$Wt5f)oxJZJ!CMil?&02e!O4I9Jk
zMPWP1_*FG?nddCv?;}??dco2v2V~E~W#@Z+$aqm)nzheuVYZ(Ym;GR70~X4wa8|U1
zeJad(B=@E(+}A5>^b|g95VYb2fAX~d`~s$<=W`2yH=8TeRKS<M)HL0LQ=h-D?t!nn
z*lI+=0Vkrey5RHQMdBX8*L?S6EW_1y{X3q*1N}V_OYrWX&5;@K)o*{9Nc;MUPwyD>
z;r#BR6()Eo>u7l)>{;co%njd;qn4?JKa28?a>B+3qx-7i54K&yq`hCR^|Z-5SYAK4
zeIMLk!oRN`&g=Si;sET^IFa=MzR41Hki0KoR(t={M_6}NNl^pVbu(%0g87TS3mk#d
z4{mnvgXw1P^ON^6e#CUm{eTC#B(|M`I|XAOkHMcSJGYYeFD&^l?U{m;&bcg~hj;kz
ze>)4u80`Az43G0NDlfx&&UwREVOQOe@ikZ-cc|ojk%tklFHqB()%-B*Z@mRuDHSWw
z!iQ|c^zOhS6cMFcVX>3t3b)}wKc92V@Dt5b@(<z33CrF+ux)N9Uo<>aV^P2cyGQV)
zCc^i#)WrDUyIN`Y<6*ud>J$R-na)3qsqoc2;hSP`(eR~z$#6D<<SB9ZAZv+xHu?Pm
zOY464i?`^7OxR{n++6_<s(xWb#-s6fV4YWiM;?mlmBGS)MVr)M`ll`*Ucp~C?a|PN
zQ`!eBs^R^H60FBz4}X67I@s|$$3p{Hmo|*=EgZTif7u9bJKvtt4C_$~kDY}F6lL!>
z!4d<S)fVs;C09n$fAabjMR^<Y`^z0mZ7>JJIYv8}XD5q$7yO;|)ZMFaY@CzzSJ?Qb
zmxVLTJb@QM;8;ed9(TCt4RvcDY`Fd*&>Loz_iG{jb&I4LHU`4y?tUyM{dw&)IE@~{
zvey3<sNj92J5u{UK89~7pGhG7k$EMUPo~0LDl5B9;QikuKjgrN%H%g0!~bP`a?6L!
zVv;FsVY8Kmxl(x4ziaXWEd3xYsS>_krSzNhhtIy#!ulG%$bGf*8vNT<c=`?8n(@Tg
z8*Uyt<?tSUeg1<g>0f>*s6@2|F1o*3>kr@b8GQK}PJ1kn=L_@w)QIYUcU?0Oy$jb`
zyD;^`^qp=jci^O`{^0?5)gUeA0URC1U^xo^-15$s^lvZl_c|~RpOc!}@DN^E%_*9K
z)s;8@ih@ncxq@e483x%)iST@({-%HMR!424csN1oefKi#_RZx>3hbY^YD7tg`m;xY
zHOcU`8BftoFn>wz;cPhdcYY=VJX~8LoC%LEO5J3H<pKt>p2H?Cw*Pj*qr;<7&)^x=
zsa6&^Q;%Us8Ju!RP=^y%rDj?$h97<^;^u~(S)^}P!-0Cg5{2Le9x1yQaA%gci!l74
z=hWC6csZ@?k0iXJsQalFE_!$Toiw}}f8}HoOs5*Gq6q8jTProdB7%G@N^r?(|Ef0l
zfp@}I9r$(9`G{utm)7Co<M6wyH@AI(XZgI&8^Sj!Y*s$PugiE37{db|ex5z>#5T(!
zbJ*ql#fx3Als#kcIau7+XLty{aYT2MEu2(k(KY}dv|R7DgP;4m>5aj$Rm#Rr@L%Rr
z3M249(t@Z9e9q6lViG>#A)n;|``Rd{{(?Dp=Wcqzvff6#^Kg>4+_FEsw@i?67GC<f
z*cJ$jTss)L4BxI(IvxtoP|&$8!QAcje;>d(C&X{i<9$@ty{6Mia7$Q)HZ?3eCRCpc
zXR9<dF~VX0Uc7n^r-Z3JA?0^G4UaB_N9j*;GQ%xhJ=-c_FHTzeZSayt>F5i1gWAsE
z-EivKM(a1QNp77B3+yU6B>xWH>H2Yo6W(gKue2GKmc7--4*y$OJl_UOJdW(y2Wx)S
z?EeZ2e^RI;{S93Xa^3BLUqxxZRf63rZcu-RBb0wXQ-qKB+w}f`cW#~&BkuzX`@A~+
z3r^e|zKirX)KJZ(nu2#<i~sKw+&e_;y9nF=l-fw%H<s<DGG2nsgZKNGz^O}?pEl6L
zhK=^daC@0m76t73=>50_ywms%KRqn)!sPQ=_;7P)##WeRtEs*#Oev|%#{!2md{ev*
zGtQZ{?SV7y49MSxy_Oqvc;Ke;^Lznt*n^qB{IE*<86NUJc8Y@4bupOM?JGkhT#(?c
zEe?-4e7qMA->dsmzaKtkr*$I^Zm1ByrU0u8DP7BkkK9h5Qh`+-<(rfKU0y8Bb!xDQ
zRYu=)xY+85nl?PKcV`3XfB3KR%I@Rv)<>I<mciq<$D$2jsgi4wC2*7VG1b#>rmeYn
z9c=Ka?xh8M@?Y)lxA0$+m8kP@l2S=*Gc0+`YnvVXiFb#86TBEzI%*H|Fj7-|g1af?
ztexS(W9NR6{$(@o%b0G!F;mJDLvWPlYq~%<JaFV?AKW!YKX@A+vi__z0;hg?U={`o
zBytJ;fJfBC=px|8eM|iFu*556ie$L_rQg3Pn5*Dn=TrDk#AWv-IFF6TFdNQn$hKO9
z2S0m@<ic%gk>5!Fw12PYGK=7iADWw2;p>O&Z<fG2r;4=6_vwwU`n$e`rw4X(QNYxl
zKabbJpPSYmllSxAakw|Nz#bAJ!Q}n?{Tzm_?eKqH)3<lSXJ|%eJ7M~gT~4IG6mQa*
zrf#^}`QIN-_!Z5h#y6Nfg{_<PKN-Jpk^Kk!jAr$;0Q~p(a@<e&TF4$XJ~+tP?dorM
z<l#~+>3>4?IK^%S{^%tbL;9bL<_IaT!ILMbc1prJe_mE?+H6+CSg>QA^lwUhb1aeu
z-XJ>VeE`02dvNPk*l%#zhV*9>;dUHhf{##ijFA3KdRDYnyI}s!eQl(_ig}|16B~Sj
zJM4oFT%Y$Lgcmk`a=)DPSJ~}uYsC+jMqNB`3hwNs85D(g*jjPx!+TRTLM32(UPew!
zSSWjfP7eNdc@y0^cwhScL3y}Mx+};Q_7ssls{$vqzjq@2RahqbrPW}a!;hz~z_~Ml
z&$VDH$&hZ+|Kz);Opp%Tu71{p^gpRu@1-<=_lIbxk^U#U)zk}&;jo}#Wzzq{{byqK
zMfitQ)(+DD!$WiTX?u82qw4l>c*&vhvlC3ak9{Q!zFQKK;{qF5j(I$Ul}ru^dBVP|
zFRe*`lK>m)buakVLeTd__~P9P&j5IW(xfFGmg_Xwdk2;c8E?vk6%!fK@5A@DmK0~h
zA9@G8!r{&;Pw67~FIU`BENmI2%3c5)3p%wuf(^%L5-Q--36bMZ;T=1g0?XiTq0xV7
zutJ!=e*=6dEZsE^{w&VuPzQ6?1?%R+ltyhoKfsT(wceM)4cd3UG{YNp*xV~&6MMQ(
zeQ@N*q4`?)=a&~%J>>TX+nV3N$3A!{{(xVrJk)#-ZwM3O{|3uD-{oq77eq%=Cg7h7
zClf!zZOZpU$KZnCBifyC#|fHyOYr6A+ZqPo%iY=67U8<>Oi4qqhxUcpbvUrRpLHA-
z-%HiE3ik~S%}l`Wm8(sut#JPq<nwC@{?YM!9|g>QGWO9btix(5$_#(Hc8O&Z1M1`E
zf9~7{Ys`90Qo}bkBuDLrXQK2kF~UCk#BQ>{uH81OOt8%0;0h<aZCU9R3#?;lJHie>
zqcMruP0Cm9xgY?`WJoY`!<i2fb@|{)j}sF-u)%%Z7E#zNZm*3ne5azhR2bebqkBjc
z&Nugxm4<J(3%!trCwk{OB;jZB-gXCI<|TbLRrs5m*~lTd^Vhpg%CNjfNVPKDW#t@j
z3_eEXpl}R+oHOL00e_55-lhdJHirDth0DMAhv~x~trx%Oz&9lS9yElnIca@53-4zd
zs4#<z{qn0!;cH(x!p-4fCu2oxm_n9@@gmInwT#aazWqjf*aj}TY@T8d_b16(I>P<@
zl_9op!=FYb7x*O))m?XZ+Mztu13smH#>EvrD^7dC3w~I>I(-X1Ci-{CA7)e3>+yz}
zN^~j$;p$`4Cb!{oi9`ECVKL4_Y5}nM^_d?J;H?a|l%wHqoBR5c;O!lB%;E69E2*I=
z@G&!Wrl+vWdQ?y$JaE1GTOzFOu+gFz=6-Yfd^&7x`LE{%Os5p4l?oR>yi`;TCrAi2
z=E6>!FG{?F&##>>%!Uuq_R`eD2V$osir~0^UjshCofYhR3gGdVC(YX6#iiod3fOE#
z+h_o`WZ7`31XjuUAT|WEb4HI>!|p2;-0Lux(!WrW)AwpEZP<eIt=>I`m$1K|^i>wP
zAwIXh3@&hNJ-QoCj#1F4fy=wn6c4}*>iZ^0esfWeSswnYS#C@6s6Rq?_27;E0lby)
z<evWX`f%da%}-y$=6tVB&%wJyKD&_lEzBulBzWBa?e4qU3MVv3-?;=kZK^bBfq!Z(
zS~$SQ!v{ORz+V$4d#}MMd^>AD5s#D>-+&XdV-EMiRAu>+H{on0d!cT)vcZea2QIOj
zNdE@&vAEt2f^VLvxIYLtUSZpR5B7C04Vi}R%vp;f;KN^TUH=2~-fyvtftOCXJ8!VY
z@^ZEhB*IVlluXx<-~O0imIOQKly^}hzdKYclL0qeb$v|*|1ynb$bw@IO)GDK*~T9S
zKZlb_bM|hAjYNXZ7s6MC`7)Vd;lyauTKL@DJ@>7!N>iZp8`w~s;x7w)F*r863-+yA
zE7%5`yp8nhfolhxB=*1uxssQr;rSTN2{JuuyNvc(*!pROEgNk2>e;((jHoZ@pQqme
zugJYgWQGN1&j*uShPjMU9<Dd|#JnAL80;NUfHNZ%BFOZucE9dE4Uf%^NRwQhWufp4
zDX*wiNOI+^+c#IiRSWbt*U9#Cz52Zx_PA=fLW4Z(xAxJETTvgS<;g#fJX*SelM;UF
z)ReLcYflL>bHiP~2GvMzb+Pa#56sIZ`kLgk##95!aD+OACCP=?63SFzCU4C_k_SX=
z-)92%N31_wgatH8sZHUy0=56h{-gO9<ZlVvNAawY@^#lG%&g&*(-*wR{$nw5(er~P
zEX!EQ{vD+f77BnZ_ASJb{B3tVcO?8b^|l=aZ02<PUleS2;LRvKthvBDmjc^Ys+N)R
z&s-;()8HM<-m+wWhU5g*6~jJHe^QbCU&~^YR0<o`^7@ng<@9eR_8ly6*7qbS@221A
zR1fp0mbH=n-}UXnr4HC&g7OI|U&?pnNGI$NeSm}Pzd#n|+5y<q2sJTq8uvon5Zs(j
z7r+DCn?^@Y!P*oDPjSGuCwwl?z)ia@w+q0=4^NCQ!G=X^<$Q3mf%5BRn9ot{fEavb
z*Y?AdOxPc1UvP-PbdRZbZGsQI97~XfpZ9k~F~C{tP63kS_oAO17~!qdk0}&j{fiTQ
z(y-S!;~jB$oO-@g79L{RPb~*iXTOzJf@$8T|CWW<wtr?g3}-!VzH|uwDwP(j0n4Vz
zojM3#R%}(&g56nt^^U{${-u`d!wfN_`?X=IN3X(9!P#>3C8uDjju=K$IG*})f<DZ7
zsC3i}w$lyWa|V905N2%+S2|8?JPk_=7AakXi_PeL&cWtpp_LBsxpqq%bJ$^S@Ujyu
z>yc#T2x}}RT=an@ZmLLKg3tN39`=Kuo;my61->nLPd*%eZa;aGlz)}}ZhIu$$3VO4
z3NusrGCYMT_uhF=%D39nyh?-Byi4l?;OOBo#XLBC*Pmy8aO_^M$>;Fan%y~(u!oxE
zrE*xhRVN}G9=4|7sDj5DUBaHigY3T_y@9)QlCM93Ke0VJUJsW(dh1jGk6sII`T#qH
z|2mxy`{}EBe}u0|F&Ngs&yF4V*9A`|>^t}pMmt7sAIuQ0CD#g{id)z_3?Fo~;cS7e
zBP=LK;m9_Z#4qr!G!vgmcyVJ$z$bX&V!g=}e3JGdMK8R2;dRF%JRFie-UYY#$Ua|!
z73GR;zQJcgq{KFELwnBFH@buH$Uqh~C9Hq$ee)RHWs~Vo4<EYsrDz0J3*bA;0N?fL
zmHY$ejPMw<!j}2p*C*iE$#e;Jn9Y97dlu$fO%)b}Q&ao3N%@CU5>)%(YQCYyMR<`>
z#PbNe<4n=bX*iVWwSfk_@TzcS2|guUrE3Vwx!!7;hp)4k3K_$;PrZ(<!PYIO)68KX
zdo%GB*xP^Q<~jI*!s$G!3;4g3EHB%@Zw;lRDBv=g)Gu~$ev{bt&G6relvX!*t*c{z
z8cs7b$nt=BceI|}3YT{o2>8K@w24Qyz>%XhU4d|>)?H-|_&j}`Q79}~cv6rJj?43v
zxDUHj9!=weZ|mI2i-BpbZw}#sKb9X0iiP*^tka3WJ)cfcJ%L||znl_+_YU`#rNF<8
zpZ=1Ee>@(S$sz7E{d54HQY&H1gJ}$O^p)Y4?r-iD!wf<j<qpBqqmdU%;qjwWB^vOD
zxRh_z@WPcR2}fX_e7%@jINi%L))3BEw_<LDSN{{Zbqa1zKm5B1{y?>T)f6^$F|_{(
zbIp`}H-T%v%O3d*=LI}HZwc#)9<S|zm*1)#I|t8Pkc#hv53h*U*}`7J+Pj8f|ND)(
z7vYOyvNI#_%}WKsj_|mHp5r83tgpGv0cKY?q&Wp!eH6cc9gbcwsau3YH@~^=0{<6s
z{K*nLE|EFw3H!XYXWzKptcI$3f44hqz-zTg0W${eIqe4@9ezB$4Q_T7=D!K=kVtyZ
z3|CV#q}+z1DyomM!seGkg9G4KEw6dl;km~SG@)>%<VJQ;xK!Ed^Bs6tl5tTC=9gDF
z84j-=)|oyCvyAX_lJcUW=ieWK^;0$`M#E2fe2!_rn=U%|N5TigAMqT6yXuc_On}|1
zUL@(kSNfif#=(J#-R}Bu$M>KMPvJR5rD+>jyCh{7DWBJP@x2`!^Ta(S6|Qeif9D35
z?clL`0*7mKCV9ZQZ|4Uy;WJZz+5F%cd$sy>xR2eYJrLH59erH}k6j4S4TbL%h-a0+
zIlCK$?!%M&HVD3iP5b_&#lU|bscor(pPiBPiG@3>w%>aTuf>_HCc(v?`cALmh7Y3!
zDR6Vhugjm{les&@bKuaI{HNOC;rjLJ=kW2}cbX^QBNt^9%i;CD%EB?&J2X7?6+B|s
zpGAKW?L%AJx$EJ3Lv#;lVb=WV=gn|Lrx_g&JTWb|?=wvO-S-bCJS`<GI0Uz_eYG%!
zmof*qr$~O6PShCA7dX8#4Zr{1kYxe)nq0U>%Z&CM3~FZrFN}=o(!;LF1zqQ1n{tnI
z4|t&1_oOPEKDW=;3-&gWXw!l%yPVhj;jV_2l4Ed)#|vIR*oa0?P8nvsF%q2tA5GX*
zA`1^~<9?9_C%w9IKn$*vDU+&#y?lbl1mLSo6ULQrK*Nwd2W*#k_+%qoS8!ne9yq+m
z!L=Sfdnmko8*D)pIrjlpw>a>4D}1N^)$SJf$cb<+8n~rzjky;toA~sT0uG}Tl<$T$
zxx}yh!}g}1RxTZazs9{k^%w4rx9J&x+oc6N{=ipXd7U1G4Qpy%{DzJGBzq6T<uBO|
z4a1u?3;+FsrOb<Xzr*xvUpRllD>YlwyWyeGp@bRO(Iw?xC%j%y`FaX|s<45v4PFbS
zKl~SF-Vi?90v|puV!Z%A7n!{N4!)!*Hna+JQF)oZfj@`pP_MweQC)qNuy~E8KjjWQ
zkKVF=Qx4Y!+hlHpS6yDKKZgxxEcof*8_rrH&tP^HFD)8a{e5O$8ay)KSkDMI^om8M
zz{5p%e=)%S;zD-D!xMMh?RLN+FBz9(;l6KqMNIJTz~=QJc=Uag#4flpQD-<19?*Yg
z_#Zr;kz?Zx%Q!vw$PU+i6gp1MS1w+ei>$Dz%AHncSkdSFv@k3><@V?b95s3EzrC<-
zN*5bBUzWaFU9pCp3^yM$gx%gQaa+L_Va`oDFw@>ZR%dvud{6W-_@?ds1sC}4tAg$N
za1l$FMJD{x&Bs_37XAHCAsen6V)~*5b7qJa)WABS@d4!eaOSRA$ZPm<mk`BqII3Uu
z)*x(1lNCequxalz-{5c~sU0NGmffMuu@lb+%GVDbgf}qPShK;$=Vo3?!*<TGCp6)E
zb$8hWVXt%RBHHjk8_gqecyFLG{~7q}<XbCpJ?t|_Zv)u5>hKWxeU9MNl0CdI{4<-B
z-}L+9m&<V54QnAe__ImI2T%A%&iXVd|CL@K+Z&!<zwStuM`W~4AP_F3Rx(h4+X7ng
zVJ@^UcnIie!-Ff=&OCs(&yGrK!tyuoZi|B7m$d9V15-!HgvG<tPlB0G!?9Cu?GoYf
z(SHxf_3rS^t0Sp!K7ZkLb6CwaAu$u~xEX$xT;HBN(b@AHuHL6+=m4`Sj?EXqW6A{|
zufxas<D4sCdo}Yi7r07QLH7mBxzr@%1$(MyRS&|B$&)!wu>ZEl!aeZ3bg?v9o^w8j
zGrqxFgmrcq!TeDV<Vaqbk;Wqfmw)0dA^F-#B^oJsZpcrA<l_+$+n8XN8JagFH<;bK
zumzSp|Jkhz9$eqz{~h;J{M^Up$^2*L(`<&|);Eo}Nj}p!<@5>`G8CsAg88rCF{*}5
zKh0|Q!Q0DoO><#)cm0MRu(PqMayIO5@ZUC4Uh~pL^*DI4Z~fnv|IpuH=;@OXxcowX
z$5y!e<7SR%*hOHdUJO=G{*h1ebG?sK#9{p?O)-*Ni+b(SfOls4c89?elSk%`!XDn=
zjUU21m27tAuvYZ~6}f*`4xT!44xYJY=tt(S+4{QT2HZZVCQk16SF)3%-QaAGq}+J;
z?kAD3AUHF3?{zXg^GDn5gJC5)|CuDX+d9EA7S=nuQc23U|99`uBlzLPQ*x>B9{(K&
zvfzs6FE)_p19`5^%sFsQ1k=q-*v#|9{X%#b-yzF%SniwlrDE7HD}3M?Z1e4_)f@PG
z>OcnBe$FyIhu^^!za;pJVD^rSa-U(nIfvh*yeYHujt;nNt;)U(?p^fVGzTlsZdxWe
zn^pYKJlwT*!j0r6S{6nOEI8kYpXDRZD-y5$r5NEnwzT95xX*w}gdH~ainS|&C(0yf
zIALDV{t>djN4<pq9)y3jMcyF!_bnGbAA(bSzs!<c+-#SoA$)$nOA?u1#nM@RV>qXw
zfQ>x=h@DaW?>aoWX(5N?;ruZ(H{j`5iM=HE^}YN(3N{FqDJOZM$A?!j@GRRUS(0bS
z*~sL<p?CcU$?_T=`plFM2dtN#eGT_G*#y3WP2#d?t6-{tf%Eln_@C~;xA3|(Q~w8e
z@0yz(DKDTBTG<90EM|-}!DqCm3J2h=zdQ2k;F|5%?+?KmnUo^r`RsJn*PtnQDT{lC
zl&5gCww{5d1a%zA^H^V5o!Q1+I3LKE>?h@03{B-JVft&nMPFe#j?fZ%c(={QhhJd%
z+X4{`u!yG6j(&K-{N7zwxQ>Rkrwi676t!W8-{c%VO`hLe#%g+`;oQuS|2^+%A9E;|
zg`bE$yY&P4(DbsX4qRf?v6oCw$-Ib87Y?qPODE5B9DNu6U4p$QG-OCF=qmcv0p>e#
zzJTN#{QX+J;NM--u4H~@v?p?J!Y4P<&riTt3e!?U;iZ`17o<E7ucz;Qn8_zejy&(_
zU21cG3_s*%{NMATS$&?-6WFww+lxFOs{A=|^d(F?-$MHn{_S><uLd?q>I)>f{pq`G
zt?*3&Rvj`u=N9j!HrOOW=>MM|dA3hX!sl)~8<ITq9drE@95e0taS=Yk@TiP&H}3D_
z0?kQ&wl^z^32vvn*F*Bl%shenU=Ire8<H<GDO*awOpS&=NFH_|`=l<M-`Vd-a(~MX
z@e}ZImEK<@f9op6bp_tIiQkRnpBt7`FT;DdMV86-(28SG^n{B&Dr?C0Yt`>Q>khZ|
z)~a>Gl=0uYd|<Ki0D(?;sV8;iCd_^-B&!wfJCo&h8&-GJ2_et_ntXQg0WfvE!Pa;1
zV5coh2)vlIZH64b^}>P*ci}q{d#+c)|Lx={4TrV0J{y<A8ZL>;p>TTn@YxL5+4+HM
zG<>xoQ8^8ElwqhQ<r8W0HKO3V#}?({;A>kh?2UkR)}@mp;f4wCLN_>$W(RvbJXkLk
zeFKi-8*C!Kj~y}M(}9Zzo@tQZ>z-wx(Sn!n#l?{Imp!CdN$S^&oF%vW!iK%e38em8
z^2cvuZ`gih=_#q-PaO3AMAkRnqdbt*??1d@y5I+MrkBwsz}i_OPGo(R^jv<%!N2QY
zN8N#M3^-pQ?FqG0E%zS6SMLu>hr$nB)1Hy_^}H}t8UPnN@CzrxCYK}Q{9t+SWgW6U
zyE3BKJmA8t8x2q4nb&ITuJEji_RlA<g{8WmBV3nSdodF}7&&e2K>RK$I2|^8I6G<$
zFPc+tdIs<BOK7r$t7$t0bK#8|NypE?CpwR$6v029s7suN2k3X!6~Ja!juq*_-Avvp
z74XsipV7zR{mt6eWv~;|pIz#3B5nS_OZY<c{bg0SMaPSx8demIyr}>`ebw##7FMZ~
zI4=ihhonDw4Zo?C`5_L^$!=h4f;+Fa)``Jg_nHnhz_jh3H2LB9OPrOhuz2((QC`?m
zYpk~gW;k;-e-E5|PVV#<SX+8i#4h-F!@9>OxYdk)Clk!LQ+uHs7ST>v+ybX<+P1q3
zHtS0E*aZK)V;nUIf9;hxO9{JBu$A@0`K|j0|DnB5wd$<Y2z+$x_3OWI%}XxBA8^az
zM)fI}J^yUmPx!XONufzNT7h$R94^>vk~0hkoHxEQ4M$!c2>lNKyUr5+2eu6zVIu9J
zKA*H07GalRyV*{XU!@bDhyU0+-DrbprmXp?_Tc*EenpYAuUaf{9HW2>j<~*j1CO&D
zeM1McFHb$Gg->Oy57WTgME>!T_FbQKp7UGb!iB5Uq<#0@X}Vt|pFJD3owPS^_MN%9
z0e-q=j|6Ftb}=uCT*LflK5!M0_Ue??#9d_h0@{<?9>B*_F`PWiFPm}d4t%9jujV(L
zaF^HVE^H*c=R4URVGji7d||Wr*<Zcz*`3Vdx8dIlaZ+Ua3kd!vOWN1xobHyj!{@FC
zoOFdfm8`nS{x-J^_;LmI6F0OV$HQ&P$(gIL^jj&vI(R7J*LBjqe@IM#<`ukrTmOIK
zOOC31bR@@XcKT5^^1eWd+n0$NxYuxaO&7L3dG!X##|J*si@{447p6%bcGUT|F#OYR
z{{eFRKKX7tOWwcm$lxs`$M1a=sty*|ZQuMNDPNTLuZJ4mY2WQkmhb1rsFzeQ`@PrE
zWcf7A@2imUMH^P1GJSwc>iPNp!2=n=(#`PWJKP!5aDx7YXXJR*rYQ;j1HTK<YA4&{
zm1qIODE#OGw+`7}=`|{U$ong7K@;KRcxOAUFi+l(5xP~u&<9(5Yxvp@-*!k8?}1GX
z-kl-id6y;FWPgLd&7M%IhxhN$Y9Yt_rKaOGFX0CsTaS&wa<@93R>9qTpF;n4e7m(}
zlJ5b8K7By@3;7bS@x3hA?2D7g1Wa|*fH4`?xGS7aj&DDj&Z)=58uX3i_-4NU#f6N2
zZ720ojT}FN)<#BAaO(xH;91zaM&HaIcC-_sT82wQ+79``QNic_lH;j^tL&3HtV})c
zOpdqFV{)Zxu#@8*Zn8Y)zgX3G!wadK6Ug+oKT8y3ffEGl1WB&_%2%4a|JEg|_>|-!
z@|6FP_uuA6M=Hqry`y;{M#dAQ?6`ZFY(I%WDeVF{Z$tEZvVB|R*NyJOKi;V6ll^zk
z#_?J>Y_RWQCE4H4#8p;Z;e8ow%C+$4$?QGk`x9di_F0kRF)ueR(Fsocd##Tg4}l*f
zd>r9A?HmnK-sRN_tr6^-J5ocYms=k3^MBv_xz8i~24?$dc1;0!+W5&-a(*m-F>NFV
zFPlYec?TzmR}OH%JkKkF{&zfmJ^q>v-eNJ@LZ)ZOBh;`N9&4gH)&_UhRAke^{e4nl
zr2L+q$mf6YKCGwZG1|}YvLkQg0^GgQP)6o=JG_RQyubVKV2k8O_~ok;ROJ0#b(R7_
zGJjRN^4Kt#`*UJ4nclMqEzb~GV~ufhJ<NBVipm8RFPRD;+wbp}=n?Y%^mx*LnWVgv
z`As`pSor=dH<^FiX9k^%@EOWo>STToYUe+kg?)VD3(4^*P8oW`7-qs73FLgt`Jda8
zF8ovXj@~5P&$ZN}0~Z9>M3dt)Iiht)5&m6pXX_07J5u+pJS-%ZDm4Yanvp*$3AcyZ
z<dWkvgRXS1I833OI75yXN#;;-4w$#{^ks5<W^vJMXM@w*!U{=w+oe91&G2Qtxio5=
zKV|ke^-_~OZgV3!Upr-$TCCxHd3`zSDrR`zBbx6Ytn>TEz&7}bw137lJotp&WH+qP
z{5$v$+(^&3pA~*DwNCvP&Xy_7=YfqlFO1K_TQBB>@WBU#u3se6KR|6rEehYU?Krjq
zKY5~6BMvL8&Z=&~^2~nuD}MmioY&<i%S&;1=|6dRSDooo^8SAGMCJnwI$qP&To^#c
z$CG4z=Aa7C9e%lS4;*p3s{1tT`#UR>l)qcmTy}<(S1#ly+hcq3-W)slb*jPy3tZ@D
zdcgq}*4OwU1Sgkl8Mp>>Gx^sEz)q^7RX1QstsphBy<2{U=Lf?3QfFyIU`@|KyI^>j
zeR1PK_yN<y?+@TFU-^HK{bx1zrX~Uo`pbV_6@IzysqhG9qduXg49ASWv`d3Ej;TnJ
z<1cd4o$tBu#v_)@WW2--F`CEE;e`U@Eq-uH|7VtRn4in#4|#w8ALE|+3V2N6@@4Y=
z{+jIgm0CD+#ZUJ(EW1xy=M5ZO;qjgv|A*dF)-}PMA42lT@qhZ>$&_YdF@It5KL0h^
z`IsJ9LFUoq1K2KK`&u6?ZV+}U4vxES@P&dE=i^<zU&!=mWhNIlz&hsPr^)=dGK-yP
zVJf)*g#h^Zlui^ieEeHfwI@87z{to5|7j0Ma)%!}rb#fsNrTZmWPQJ%vdm_NMMnIn
z$oP-(7X-JH@_QOfLP`G!iz8k4cEVHX$&RPs1Pi+MZ7}7?>+59u@@j|hX%KJed@2pw
zDbrCLgZ=$$Im!OnoI7^K9FEoJekTjZr(e}M2gha5s2+l!sW8>q!0U~TyrlepREa5e
z@O167Cr4mCuf7;J_}MppYqI~e_?@qLz&i1?L&spQTD_qM@N*fq+hloc9sj(HfODId
zDaiPfO?4uL$?$bI%{mP@$Mn<v6qvqUKur%;5^|=?fxqvl=Of>j+8oF+nhP6jO-Ux}
zzoY);xnlTP`XPU^{;d@}Y~`?n<*b)Aymr4n`W5`|Qn0xtJkNj2r508Zv+S{lBc1qv
zH^91gXRFBh?0rX4W;2}qDY=yFkKj@*p3iXaQ?XcA_*3AP4IS`rValC8@M3p`dmsGp
z_}v9>Sl8LtcmQ^BHFqKVfAwsS)+Fo~Yw^GDgR%8y3r)c-ev(CZk-xT}Vq1qzi@9%*
z@_BE2mNu|q{Vk?v$nmsf7&OQMUn_m$MsnR7DHQCmUijx_GQX{K<MSeL!@-9y$@2O|
zZ`dUahn{U#A;*uby8LE&SUSm<ii|JXrKBTv03O*?9z?c}FTER=28_-ZTIb*w-Z9py
zFjwV=6J+}rXY%%I!t&)DQe^x8R*~9p48E#kR6_RuU}~ki9{l-SN(|Y*8yf55kHaA*
zJ-Zd)Su5?GhOk-y|MCHNZM*S-Q?TpM*_-72F+cp}`58EnC(S|(p5`3<cp5(VqwgCZ
zJSBWa=N$Y*k>@QBJov}*iaGr0yy;PLe)}oaIeGyOZ%q)|1%L4yptFXLoaxBf3eT+S
z`Co!9`geqGfx9~m)9m1|7G0)IFhfW!hZ9U|dv}@wHs085=>R)LtSyrB`+*PQz1QGs
zKDjP(eowNMS#yTxES$|o;bezMR}VOyHcM$3{x32n&J8xn{9e-w&su4Q1i_)ENBuit
zHBTM;V0h&({RZ;A?#k3`y$m?qFgbwaOU&_3Y4DWN5KSA*(8Su-1iw_#ad-#Y%qTo-
zhAC%gCdl}s+M8|*eum%vx9vR{e>8ADYf}e&-}e2{&oGbo!p%OoYp_-5BRm_UsW=2X
zX{qphhocJ~6_3HSGRl->dG_}-MohqAI*Yf);b40<h8g($-RW~=eOb*;Ow7WWY8icG
zdt9qr=%rxC^J;up(oa}BLh1z-e0PT`+Z_Dxc4r<ltn9t3pOh~<!WOa<HY;sBL#~g>
z{f?X1;o{TJ6c^xH>+<g$u$r`aIk`Tnx@<Ws0Pom)D2`koZEDXb3c<8#zjl)S=W(Q<
zSR6hvS-(K`U-TYhCux{2mwSpCzAaHWp#Y29EVhyBV^BGL<3V^b^XYMN{A^USQ9T0R
zE_2yOj-TC;Z@Dz!lt=72TyS1QSBM#0W8wP0^4_B=m(1Z!+#F5hc=XrQ|9TA$=Qwql
zTu<pz-j>{e$Ep{`$nndN%^M#DQ(eu!MDiekH1`;|WV7D?@{P0$=EX4eoqBtcTW16+
zmBI_0R-@$iK9&tUpW#Or<LyXZ&3AEQ2b}XyYJ}wdImPd{abW*k85t+*d!NoBn;CX>
zy>XG0H}EXvWrcZXyEVxA9!YkjV28~T?cR{(-w{;m$p>3rZcHKTd-S^783DMo%!q3*
z%+Xr&NetfJU9dqAei#^3C=LhKDS4Csuk)#Pkpr;g!Kkz3|10+~fnFZ2Zsh1D*ONnW
z?l<({t#4^PN%<tU6NdWmcJT*`<b0qdJ9P9Mtn9>6POeW`*QxBx;oin@MRGs!!20O7
z3$R;48!K5JI!QZ9Yq-`#JBcjsW8)03OR&CL&@FPmx2b6Sr47tW?|qy6-w(}l$~nSb
zze+EX`=|HnD{EGyd|S9D`M;$Ka=4M-zmRG%?SNT}c@LB2X{(RFO2*fvl9Mba)7zij
zd4i0u>tQ>0kmLv43e0c8$xX8*B&TMXJmd|V>4ojKgcD?R8_9UL?RkC?b}-em;H>j-
z*@e;~Qa){NO_cOk%^!<Qy8#bqUH)wVQ*3=xcMbmb_1jg_ANKf7cgcIOHlxEf(tp-)
z{>jN;_|}`@C^G)7qR0HRXRvocz`PXvn0jklE*yMvqq{I17*byQ0{+P^Bv1PPMkuB|
zsfOh$vPww*-~ZlD`S-xzj@8MMoG0q1Wgi?fpjJrotM=7BKj1AH$`Pc0FuqDvIRa<&
zS22?Q!FzQcNKeA?OU099{#$aRwok#VAH^>z!U`#U^IJI4zS2B0LGrZb=KmOA4o}A`
zWcku#um6;TXKqI4k@0SyRGwlu0E?~gNbZF9*0rpv!+o{YQ%tbFaR$c`I4e-+8ZEs3
z%KV`=9JObs0X00+x4&Eyrcg`$O8R40-W-?EhqeFMl`X>_du#OdU@NaBg<1GK#g!%_
zm_fN}&on$QulCabZj{t{O!|YbY5lS?gF6@)ZjQkATWbQ&!27KdHj?pe<4#+zo`<sy
zO@?}4|1|o;=I}*bk1;ZStSwze*#%fqLAId*cHO(IK=L=Au63lt>JGt0ByaE%FHMCt
zzoom8>D%85eD4JNzUP`I)4!FalH&+R?Va!>>wCiH%@;cOKRTtklW@t|+a)xxP18&)
zS^rKN(W8Cn?_cF0vyH63eBvL09=PPXpcGmEfcrPHKf(=TOw0~2O`zr8CfLSMc;*VM
zu(>mh<b7#Y_BY_~xpxBF;Px(GO*gpn)5^v!SSqoq_7<$sm^nnoBe)ei@WdBhdcbNv
z05^VM-5m@IcfVF5%VV*2`D+OLTr6$>BwX+|PcI6t9Mkyk7yRh!X2w|fuOI)`Rd_~B
z|8^4mA-{H#jA!ugQ{aVUc+On>5+&AGEU~#S6ZRjd)7l8<&{J1u!zSX=^<?{$YUs)q
z!jCEI(#iJ8_YB!l3=7Ul@G`-n!W|(mU=Frd6pS#H;O@)S@QFO3TV#AzpM1sRJ@8=P
zfz>VW&!!O3KDga3(VgV++{s&(;av`w7yp-=Zuq?dKb~!IA^Gwx>JNLk@ciFsHcfKg
zE|)wu_>ESj1Ie!o%qEJ!gVJ`Q+u@_uw%%f}gUj2@J@9jtQHO)DqNAk^DKBPief$u7
z*x|)@4%p@nXQ=@ka4OiBj34_nHzV2z{w6lC$_3AT8Qx+J>zT0jk@D@e&c7{Sq0f#c
zf^h8F!V5OA)Ts<PewcIH5p_G*|H{8&G1!nZu=*;zS4AvJ1itf#HPIQKT)D|41B<en
z@AQC0c=P^9!rRQ3<~(8RTdS88V0L{a2Y*<8NkCf;E;sGd34{mcuh%QXg0(#FLSU^o
zkJ1mpHzVs)!(j7sV?0M;olA`DF|esGErmKPsb$q02lw54^3M>qD|lv*46AK>(RB)5
zuQr!SfuB2VGBSh19_Hj`!%vM_Wy$!zyMO+7`5D~WlPh)!-eO?;qXcG`u4b@<KZFdX
zRKT38TAMszfx!K2weahAhCj%7#{q>tFX~`*Za$N6__T4q^aq&AT}bXee4u1&(HGc7
zPI7MnoX_hf(g$x++DDrYZ)4>CIS2=j=545fr#6RKjln0*rVUiXB}cd^C*do><_2G3
z-apZv^Du9io-`TnLUY+vaS3K>tP>&UBX-#@MH{%$f8<ahJsIzUnLFwfH5~B9{1!R?
zdDHA{-U3TCsF{=V-_r44mzd$YgX15`c;dgdTF!1Jzwf7>`wvdY-0wp2S%JYHa_~K^
z$Nxy)6STUCoX?}oLn^nz&(>|%wBa9neyPyHug(N;>cZl8zH!sTZx2?+8^L^DN?8=}
z^Zbuhr(t1NsbDHNY=KsuTn}rX-eFqB`sn*|oFUgsO$(<svOZd-_fB4eInrJkll2uH
zeC%=qPPkZfU>VkO`SRx`yy?fv%UO7J>j;xCY%BKt<|6FwcZx0oUV6(%Jp~`zZ7CcD
zH{aS^N6J4w)5?<uUzb!r{tNd1*`t;LtMA{_LUP&vie(z%P4(&qB!73I#*o}!UzjtD
zBHP#Vi9eSr?k6-h8f{^OO{eVF55upMDjithv!AsuljqBO(G4RU@W<c6+T{7N$bct^
z51us0dPT+`*!TCq22nU+#rH9(zxZfmHYf(ys$}mW^%wiT-uZYCzIs`=lYH-jZOiuv
zWq4>Vt}O~qq*>j340evT&X0g~1+1I3;d55G87Xkfb3gS{@U?4Bx5@YdQ4UUZXJEIq
z#T##6mp6|NTf#z?C5E*yOQG$c4g5%9ds8?3tR&9F5k3;wnAr(Sw*HWJg5NwE;TwV(
z)LDw$U~RcL$^rPDpiQI){Ns1=E%H5(jp<*_N?~J-%4_8N+5_CGO672n{fDW3IDxe?
z^8;)r;}}Aw&zK+{+y;kA`_Pi<?{oL|9Do%Kec$!Mq4>Dh5Zt`&fyyxKsC7(t3hq(!
zSsR33#kTC5fxlLVc#!XtbdJwuEWxHn)=rb<aoc$7&N6(|obJmXIOuK0MoJz$zaO|!
z^c(g}+y9LUzCL|RoYbc_SOtG(hUsqU{F;U<M7T<J!U_wgZ2!T(1+@0D!(Q1%8h>G>
z@?l0!IJ&mtHTnK?-iX4+eK6Ig%ePjLZ?xzi5{Iq39GA)WU1THZOb@`Jwy(R$_giK@
z6)4KX&Ao38N&WAtTYs@KT>5gm45|MW47eAq3b%b^eonsM!bCk1qz?x=J-tl67p?R6
zk?kqCRW*5RC(J=Tf5sB7p5{m+<(&o!6s=)tA6D)?Fx^|(3=epHvit=zyyfX?kQe;R
zxbOg}j}CA=<#7+*5<xx30zZ}EH4P;$Uv=byU+%9zoCBZaxjsg64vsXgJb31?tu@JO
zCRjq=z*?stuI+{!J2p7HgZG{Y^5B7=&4=lKhvmFNXGlIwd0T22_P^wQh2#vKn^-7$
zaXz#<JVJ6y+RcBdU`8!LOOnq$@apA(r?=#Fk=*?I{c1kA`sV{fk_U3mCac0#o*m63
zpNrh#e*}JdqVyQauQwV^o`LUg+VG7PzO3rsY6fc+_nzg0nJWiG{a~47v%>$)-<h2;
z0G_du*++hVL`uv35p46Gy`KDj>z{}-32>{;j4JuPZ}Kyp9N2q?ca0OaQePL#gYC5!
z+=bu=3H)(yVA_D>?PPjCkNA4LgMCV`h6%%x1+kYu!%59<ngVd9^2+fJ_}&Zkcl%(f
zeQXuKVC{E>XUX)YYwtdqgfl|Dx+Gw|(ZrBdSVG)1N)$e8x#P+@JYK}ZBnx{n37%u*
zLw);&sU}iB&pAzn3C>9`(U6BvSm#%=z+Zmt<U0TxKafh;4ex8|N+RQJ<YyiY6N1@g
zLeD6|LoYr$3d5Ccx*ck;tni<1WjN*2!7EDeca^{@RoF#yd0ZXtU5FPnfn@{V`jY8U
zFe}lS!UCUft&;DL)0m(5?FKsro^mGnaQylQ5BO{o{Upi%I&P{BhL3QVWs><(M^`<)
zN6fj6PY14ztGS&8r&RmJlH7eT&^8BlDwf_sa`iAzoksW_=Y=~Yk6X~)_n!QoVLKJc
zpXlu0J`QIcp>!j;UkA(F1pHDUcUBwz^J(fUEkF7<ik`J0`Keoj74-0TN{a6!*W=Ae
z6oTJ%I2)0iZz}VaFkF<v{E_56@)xX*!K-RV)Je`F<fN_zi%<{Mki6hO&b_wqvP-)(
z$<+nqH`~L<MeOrQzI3_D=05y!xoVAk&;5JlsAf1k`1XW{CQO%mBE1x5u~Ke41dGUp
z-YJJmlv<CF?YCJ=+oK-Nh#FW`g~$A9W8cArJ}3Q1`xRfweTrUq{ct;r46LNC&eaV|
zoYqJXfpa-WwvEHJhBAhNFeC3n@lm+3G`owmZ~b8u;a-5Zp1c=9&NrEXUk}Z}zm_Rj
z$oI3>{LCdN1@QifOh+p@e{nld>u!Ye1oaHa_oxEb70OxQas}t{HJm?>DffKY38$F+
zb|B|xxeJSjMPZ8NDT*n$dgcCEVOUb*N)S2UH-;;9NW!PMURsgsMODS;S#kJZo8lO`
zp6p<5I;#QS*J1G{*Qfb#6VD^?t-TL7et^B?{>^H`jmceo@8N-?ceZK4Vn0kQ$@TO3
zsh1Qcuz=E+J+I*5j-y=0utNj-k-<_2`(n*u-mLqc#qfgOg;FzkC~n(^Tv+et{61^=
zd*spHELdZR%KjXD`nC3OEW9Zu^qUR*U&XE37`TKck)4zeEcI^+geShR$6SIbvrE#+
z{lU)0KtD45V+<8d<bEV>fSukDzPEa7QU#Xl9=FtkQ{5Llg<zSu;EAJf*+OZOFnsPr
z#mz%-*vDP_H^5&h=oi)DlXYg>Nqt<5+?t*;yyje=^aBnVQ)?i<@6e$4`UdxYn;0hL
zZ*2G9&<$%gikKgVbJkz?euY&H+C9nk%#=8Iz7-a8+A?<%Ryp9VMCvm?h7@emhvQpj
zYTv?2gJZ#`;YYtkAHRkpL+)i5!3N{$Je6?3e=j-7_O0aUUn_&dPgy9D^>6b(?Vk@b
z>_E3#IJG0hA`kvNB>L$*yd#n32N{2>uhUT54mP5buOZ`aT@kDhBiqx@qFONrZY?;?
z7!1ElGRY<RCyu76yRiL4mmtYGj+wS+!cJ?lu_V9qsk<nfSgDYi<mus@sTHu;yZZO(
za2G|!?H91-E0v>U`EIof*>u5LO^RhCr#t^rvj>hSFOVX+fzz`51pGxYW+EHT8i{55
z1q%$*T`YpRXv(8zVXvrpl>(Sb<BaP(tlVo;O~wmz_~P+r1wPoX8%MTJL1a_$20`3!
zib_0afbDu@*jZpLo<?4>eT^f>)_1`}=l3Ty!K+G_2KU3)FJ5CLxylZ)HyC)bW-zWV
znB?0{l2eRG?%eaY7EU_ubo(^?Fi!az$=`{5y?6uG)L8pQ@~}fCnr<-tc?)xr&lvoW
z4}$lWr0uMO<Bm761;g=oslq?NnODC>J%CU0BwucZH%Yg+M!-xlYonjx;{!VeGhvIx
zN)J-LEQS6}Hq52EbAi<7DJ#nrRltc&LU|wI@Cn(N7w}@Mj}RF@ZH(6Hb`v~g=RZKo
zpAxW0X@Eb7h*^{AjqkY1+6F(%%Q{TvpTO+8)(*4Mu2+)zXI~Az(FF(g-iRU7?=rj<
z`4xV3frpi>AMbd`<^h<>;Ne0&JY?Z3)Ca#+Rr7oW+wZ;m<Oe*gRbo^PS4nzTe}nmx
z&i53<cO`vgCt$(aw$ehFmieON2<%<Dw<a0hDP}qP8)oQ;iBE#nsST)p!JMvYTo2(?
zBW<r)_~G-sW%B&vR;w5{4eu>G;}ZgN|9x^=ObFXYMa0w-{wCpZT?BR??H_Q4)4dN~
zP=Jq4U5U8@Yl&|2lY`F;@UmWnPu{I_ItsVlNpC+7k3WkEQ-@h<&5TI>rUJ*|n+EWa
z%^w*I;f`|p_>=JKkl=6~*jYaP?s>Svb^0h7FOXZyA;SW8R?Tic44XWuVY~sCT@W>w
zhtF;H5xEB2oE`lp0n5%*M%;yEc4}P{hD*wv^Y6f;@-$1_@a~eq#}8rIp#%A(esN+d
z@<lW(s<$9b>K7B%=dx4b_=meENd01KK}!8o__J=;6;i)g8LN9Z8+H^L(WHhM@p08m
zc&~c;2l9Nq)m}rp43@Sk4Itx1_VN9(DS;&$UFoLbzfEBSRdDJS&mWWU9LxTdN?5S#
zpdERBkDhCDc@2L)pmc;hzt?@b@t_87w_R@_^@+11473e!_0UR67i@aEfUgc#bbBS#
z4zoN}O=y8HZmy(kg{#tr%iqHmG~RdWU`7FFiBIr{;%ioK;kg&g$J^m!|H+NLfcu@}
z-*&=leWGtF;LY)hLmlu;>eNwEf1%oNxNR7ANordq<8w;c^!)k`=jKQIk@`x})!YiE
zy?CD7KA1wr`=m@e(7_1HEoTXl`ViCGJKnLw&c9Fe--WO2e2~cr(<=QRNB14i)%V8%
zyd<)tC=!Jbl98>9l$Feo5wayKlJzxHQdUZKNeM+EtEf<DD5LC<vbQ8Fzt{Qw`Fy<J
z_k8Z>I``gl-pA+O%csfvuXbv7+M2^}&W9ZggS~Cs)h*#YdkXVNe)^0(MKWyJUKH#H
z_r<dfrN9Cc?aSo-RXx)lmRazCx5HQRekygzD!;ohwVJ9Ksn>|<m^QtI>u!I`aD|VQ
z-X5!kCCy8D?cnf<lKKI7h%)kqIb3#oWUvpe>2hKr^(3kuy+V2+oDb|JV#i^n_zNFs
z;iiVv=ZE2;QmIFRFeO(vmlRz0M5m4){`LLseGxcx<f4Koyk#%Le?stoUN=lcU_bT0
z6g=>@oVH^M@VZP;*>2eW^m334d?oqR8+uqwmUZC>yeOQQN(*NP2rwUpX~RSIP{0E5
zhp(!^s$wsf*HIt+<ajb$74DgM6ubyCmRRl5f=5aQPA|Y4q(cmk!$tltY=6QVGos$>
zz;P;bhkw9^n#n`j@EfhZ8dBfo8cDY_gndM|rMJWW+g{$%g)O2dAHIY4G?mkvz|-fr
zL+fDgz;-o~|MSk$wPKjk@Z$?J*yPfF`)BaY?cMFBFw1kcu}37%^Wmg5Y+HD=?jii!
zZ#dEdw({X>x&=Gl|GZ`k-*MA?bQ5lp>qR98_rpc$1LS$R2UA|hIm2^wR@6~&e`;5Q
zJv{0n&wL5C*jcJ{p2UN!$9>@Z@EY@TaK7P5kMl5(Omd4CoDu4&MV<%TCY3$q0e^jI
z_4zEUwdbP!CAea9NUk+}wkSCCBJBFmP1F?bZ9VZf2v(uJzJ)xG*m}umdm!w&HQ)w$
zUhxn8-O=H&LhLO^ZTK54Urs1Iyc{v13frd)?~Z~WB&NMnhMR^a<gUO?_Sdy#VYesw
zPh;Rnj(hv0VZ9rLAFsm)^yBjmz*N!BM-$;6d+tXF!w&z>StY=ms&3No!qSp^za_(E
zIa!0`dD0y6Jab8~VeU<*oiO#o7N<;@wlGtb4Zfh<5|Iw?W{a<9fWrraR<hwP>6CkP
za3FKwj{ESrP1o@n0o1d`d1CTlVWor(8{rjBu6GaN0=|p1Gk6~M>uptv1#pCw|IbNy
z`;JP}$FSEWSLa_a!!e`J#jr`!`J;pITDR`_Gq~!6bpv_6_Cb|jHWhG5)tM~veC=Sh
z?&Rli8<pDQdf4Wj)7C0@;-YdSdA@gpgssR6_`ZrHT@^e%KAu%W@;{3FBF`INAOBhX
z8m3s|b}52Adz_>iV4eGHYER*V9@hHr;0amU#vFJysjvPMd}?_u>j7-@>g(VK*kNH-
zfIP4LBA1?7D?Ho$V`D0u*{OE18NMLV9+?2sc~nkxz`R0lt;zG`XRDuVX@}WoDt=vo
z%dc|<e}|_j9=y5?Tf1*f?STzMQ`CastKNakKZz~ExXAPG|BSgF_yO}z`rh|~!vxyy
zkHV*<ErUGZm*TarhT%IRh7?Zl(+B&cr{UQ+sUCZ{^5`~$NjP^x*v1m(oc3t=4NJSy
zDVW2{dn|v>!KV*Uyf%QFHkFz!!@C>4C+oqN8}DBH3qP6qilHy=mxI42*5SPD!oSC0
zkz<W~tMK~a3<~o8imX7^)J?*;-^}~;NWlDO$683fu$kS^UbwwfRFfL<8b<lo<ozyD
zdniLmzW7nW_l$64g7P9Q%)YpCpB_FJ!gi44(=ClYS;6}_YM8ViFv7<lzqqml-+TOT
zJBdf?-AZkTDfjJ*Ch<cb9DKgQORW^Oq&@HR2EpWgLPO4b<yc_<;k~EH`={8`*F8wS
zhzW!3GdM$!ZI~6l@uf?VydUeIZ<jHNGw2oS-GDc;4t^x@!MH#n^1i6z=g$>M{Q2_}
zN1R~?#ivCizFft=(-C%Cj5Z^m-|yWZbqHoX<n@IaPNh#`l7K(td0A|Mn+3EUQN!KS
zsY4s!ZJfSMG;nE$+&cODrJN{SFFB3hPsPo8FTfni(VazbmtM^7G5Ejv4U56BkK||$
z=`XsExOa!aHlewPI^jUml;<Y!gfz=5(q9FepLU;yKhfRa_7T>WHFZ&jE3CI=)WNS6
zo#IsC-<(>N<b2xSs=+D`f9rjrM$R`mVIu`a_=?S<H924DtR!Dc!e?V#{(nBdq?I3%
zf@d#@DU<Wxj-thz6Ba*~|DIf57Ufz}xL|gsb_H_%*+_l3VAT}=50Pl`?iO4yB-Qp0
zcFio5A=g7Cxm&|M@Uvc}nn;-YO(a7f%sY|#Jpz{Su}Js^A5Pq2M6Q<t&F5U(;M*}O
z|3YBuRi~(XFk8s*RX<ov)2Q%1OgGE>{Q~?sqVe!G_*rPPlPfH8roi?(Y{gi7&k2@I
z(K#OgXYkpJ*ubfSA~%EJmsh(rtl%$w%R78vTDsU)a(|=``g+(GJ|Imya|&)`%c^mM
zWBFeBpM<-qFO7J>&)AfbPQXG+N6$OK!k!CzkHI@4w%>Gtj|=%9ISMbBe&2BxrlTD(
zJOuBnxnS!6=iK-9kbt}N6h<uJ6+w{|A(-1|oxvKu5>>ThKkRz%ZGs8R`|7{}4p^^I
z`MWtRxS?KiCmdNwX=@1kJq>Q#3hys|arG2zU%q>m5nhx2k3k2XYHJUmhOfqmN$SEc
z?)%@_4F4;fEjtc}ib(VR!+6TaJhN8=7OLr0T7}~{tj;RK;$<oCf5UU^Tdu0Y#oN?}
z=iu^-@95>>HSf({<M8J9E)t5c;hoZ$QTS4wK$#>wY=4pc2V8QlzDEkC(-V>IhdVZf
z+Z=!=q9$K=z%=W-uN;JJvw3#3!byDEtZZ;z(D=O%u+QT@`JM1P-Gb^yxFjs;6%)z7
zbxE@ZzII077c(p)s_gI@4sYporh%7#ehqjAe{h~DVSs7QJh)Q`|4ho3+YHNn_TYU4
zpE4A%qK5x49#eh@AL8yB{AYsoj0xrs8E~$sDa}U2=jO(S(_oD|G%<e>|D#ypbqjv8
z5>~tnuW#VqbR7;6oznUOyUM6sx(UxH`t56i%}(&$iih782;{wm55H8QCF5t;j>3pq
zxW<lGAPGKLc!uT$yqi%mjeP$0--CnYu(B3s1^N7U2X8t(h1m~?iDttiv8+c6;P0!9
z+GM<aP3&#`16Y=w>vb+XnXi_0AI=I~>B)gZp8e)eg~MAm8<69{ui?2d8Lm42Dmoty
z&S<8+3O5YC*-#8`I)vZ9!|A&+c9Y{-7qRLb1j~O&O(=&Gq`cJvU<)S0k0r1=&sQB6
z_;8<w%1d~uSxe9f9?#woK=Os6^TkbI?pssSui!Uw-1Mhlo1TaJNxs{wU{*DFapHOg
znGa03&Q7bq{r*lb-oOT5?|I9?``>Dck^ZnhW2>$VocMg*nan4)ReGB8!`r_<HEe?&
zLe&{~U^{`U9xZU-&ZT&Ec++Cz(HWSw)qiCxtW|FpGy!+r8>HL-%XSFO&BJoGihXOw
zxIYNJ6DIkN|FTCWU}}qqyNmGW>Xn)?SW0Y97s)rlI$tN;Cgx;M+N;T+o9l+l5>pn)
z`5+t_9`y{av7ZU)hGXk^3X9?W?g{N*VY6Y;!zu6|1IZJ;@I%9d9e3cfyWYGa@zIZ(
zLKoo!Q-+5~Tz~yBr8gYCcP59#6?a+hFo2^5y*Wwz)wbGMT{tV0JC4MqT0AL5VVRu=
za^As%t9NxJ;CFj@>gwREN1AQ>;b&pFx>c}ULD!NnyxHKs>kD{fG4wxPVs4SYq<?T4
zFlO(A*-C_1i(m)262aZ@!O4=lc`);c!bxuUmTpxSIln?KM3^wbB@8DVGU5F<se-n`
z|GG|vr^EU(xf{2@N}GomZ^IY!`2}cUsXM=g6JfW>`uvUX(Vc8ZFT;7I&;M+O8>2+5
z!{L8LMgeQ5&|lgdW9;F5ChJ?N5dUm^J>M4Ite$d<#9!QfJ0nf(d*6q&&tm_NK?*Lv
zDZ5PCFAri;+yT>csl}2wM_b0lZLme4!<{8;|A})S1wFiKkWsY)?^m<)rG&LOIzD&8
zN@@!fYnYF_rfym2hB-pk%@*N>?T^E1;5e>3L(?!d-?yAPc$e<trYZOao3+SGnAR*l
zb_kaDzpP&kujwv4{t17eW&HLWc1jSc`wE*DYwxLque-c{*bY07)}@m6bs9&iNPWUk
zcH!4Mco*;KZc?AfRq%Hq?cF<=MUx9Vj_3X(@sG)S1ajboA41_I-lVQ_<PQAdsL&_U
zo@rdY`EB^npGW%S^V)+<hht#59a$I2{!SnB;E9F{<<f%lVeX2}1>x}CkFnWL;KbQU
z6@S=}_P2aE>?jrg$qT+_*JpJZJ|-+W?g8swGWi(@f9`I%=nNkgI6@N)58U=nbc7{4
zOKx0*na6Bo^x^er-BpsWn#Ooa7p`Wl4e^FwbxAM@!4{(LWy$tCN@qj_;fIZ~Rb=~c
z$#}07)Y~Fgqm#-0DD1g#bPBHFwvyF=8C|w{k@{j%L(h9XnC|XcY!l2McSM)O4Ps)e
zpTgq8fdeG&)OMw(0G=G~v?p;91!1Qg*n08IH7!_TjX(Q7%zJRhO*xontm$AHZ2$Cj
znF8E$qy5|+ctk+^wGceBA!3o#S1ESA{V4(qMJ7w$fKRpfOzwg&1#7*!4C}~@F>}HD
zQ$yH8;KLIW8I*9Iq}&5i&*kVhtEGaovahUr!AgF{dXq-jzc+6$_`{Z><HF<cC8^ay
zQV-^oNjTI6>v>D?{Ri`n@onvZ5AM)W4TOttUP}B-;_?5LhQkFmTRc9&H1$bsp>UzQ
z#qT=UFR)I7)Qj($j()Czw;t<pAoXPC4~LB^;T9>%?ihHrss3O&tP{_%bRGWwfU~3!
zcBndhJ`t{~yC3@mZp_C*70k9_Y1;!>X`APIGQ1)eG@S*<Bu4Be$FI7x<w6Slmj1U*
z6@0!(vMLt7MLl!$6`X#*Q}zygLD}x-GF-d8XWJFn@QMGsRd|EDe=Ny={P!l$HuM*M
z9kabraH08gN>(^Jcp)twj)?oDLF%vJF&w`l;l*cZ4y68?@gdy#KiDH6@g%9g<{0*K
z`@<&DAH+0aJw2b)Fu2;IcmwIrf<9~1Bz`jX?++*Vo<mGHiO*=(@ssoG&bGeyzHmh>
z2TdG&o9*235IFnKhZCfpN%PtCh7UX{<=|2buPHP$pNE+YzCR)LL#uu})3b2o4a2xD
z*m%=Os|);k_gAaG@O*`)5{dukXsWslA8l@^B=MvZv+1OM=wB_MZ3o*_*u5b2!#{fY
zpUq)!H|G1h;ru4i%O-HLamedk@ZU$pG`g@VoBknQ_*|yP&l9jpLbd*0SmpbIlNu~>
z<Jwz6SYf8{s49GYko_4u>>~Qv@t+~?Klu)aS>RI?j5jtQJ}EV5M)oJ<V+`|O#HC!s
zhqu7q3k}lC@ZVx7p3U$M^?IdI_?7F`0&@LrA6T&)hZRM(eq4c#oc%_Bz)Ov#KPTWL
zp<gA3;S&zWDaPUGTD|h`u(oze45_D<DqrgDhj%^}eLMiO?wzygfGtM+dTZgz7Y=_&
z{HZbL${RQ(uE(Fm4@sUDA@%DoJj_f3@UB7{EmFVMod~;0;+Maed`p2%DleCJ!R=ca
zev|9%2A)5PEpS$bMMyl%ckH)K8*F}`Eh85Gqh&kv0gg_06uJt_*ILju!LL>yg@?i0
zCA068z^)Z17o%VayC)ZlU<NlPR+2B}&ha-Fc6NArm9$s>Voz%hoKxWb@CGa_9AlCR
zm;IpQxCOJ_jF(7<?^HL++=OQx)=LxNGom*6WdF6t*5ec4;q={&Wd9R*+}N(cE}Bmj
z@4}XE&dpwdGftc{%YbRmbom6s1CmRh9>D55zv>0S@7@=U--oT))xLVeO_K^%`7q10
z!c#AJY3fM|xj$Jca8%g9B3}wZOW~886z-O=5|3SG37n<nHE#rGq*U~G!pq11%4xyX
z+&2Hn{ZY@swOR#c4*TNS2VacVOjd&FQ!mE$!V*l?yJcWoVXcd#e{61aYn6bxUXR}#
zgN+h@nh3!{9!363@a{iX82I7mA-Z?S{e2V7di-wKSC1x`3jOgb%Pn<wc%bKA8W|tx
zo@e;D6@DPJ#6-pq^m(lh8DTo@xC6BCjME8WD!8KU$6aQU|AvW*66T7!RLuk@|Gau_
z#Q@`%lkddI_$0$r(|!p~j-GKP;}gkI1-B7+zmIf32h3=(tT6;XSbM*=6E<zU@TnJ;
z<fZrA1NWF5eAEr=ZaMUr6ZQ<`dG;P2(Lc}42e;7lL^r_FWw*>oe*98XVi`QiSN}<X
z#4ks>KZj-4Bl&sYnZDW8RFd!aBzZr4{N$tdWSE`eXc@`>uD{nJ9+oM$6FLY_b+<{!
z!b%x2_QEjjfqJF?;M_}(IwWAq(n}nHaO+paKVop$rn!s@FolVIj}jbmS=-1RjuKl~
zIt<5hyz6j)4ca%IKL#gnb1Sxk8IL7gI|^@P7?rVr=>^l)wBWCMV_3}KjY9i(X~MUH
zX_E9|kC);bO<^~7trI%%Px(qNW4NmN-4`|Z^jLYkC0uv(Y`!YIWyAS>M(~Z`CY7Bq
zPkm6)3HatUQAZBACpddj0~WE{>p=rMMBT8~gTuLNwW#5}16mbif0#@~J0|t9Ua=@B
zVgSc4G!>1*NqJS8B>(%Qy38P)w|4ub39OLwi+KQURuk$v1$S+-y4?X!l{LSzgDHmN
zwA<k2OtmZrn5vGoz6UOfdbu13yWe?Z{0;WClkfcxrq(&y@*UQzr`L;w&-gYzCizQk
z(dQ%J)dw2lq`m!e!TDr<c}20<rxBLD#}q^6k6+Rc&NjoB@-i+|!h@}}4?n>cf)@%(
z;WON<g)iYBE8=^r;kB>-MODHc4^oei`CsxLO2#7C_4%o1wXov6%Sa&{KVQ{E=6|AD
zGp;%Co3;-A4%lrc^XgsrcaI-U7yRPYRo`4VQ}I9`SwHgh>DMRuQX&2-zu@YSj~eCh
zgR>GPWPVosh>N!r-kS0K_7q%1e>0;RZXQpf`2+8})_;lYZ}XVO1exy*MH~LEgM069
zvRa3`&!jcgz(>D&@NGhUg@QZyZ7WR2ES5wIbKBKq{{MI!o$#ZF19&8Mbs=v0>zvgt
z*f}o$^H+Fq?x5;!ScZmOn;idomO=p$`1Z}v^-kDp#h+Fbe*131{|D^5M<GZGZVci$
z)enFBNM|hrKRFrkWdy!?NxNJJw&41GhU8z}A&^SehYr6p>l%Ywm#yc?dd$Gs1E-&`
z`E~Vgj_^}wnx7MJ+rt3S|6tw0gI+`MgwT0rQlFcbjhmc;Ll_4Cka}O@p<DMzdv&fo
zopJCvwRz5YIP|0bE3$s!ZZZ6Y<j+$XX5E9`_>Z1gguOloFPFheS}a{Nu=i?oFR4#X
zkGY&$g4>siq`ts!ZCMBBU^|ZYJ6m9uZkIDF@IY8-G^v;N4;_;w`I-*tZryOvN^<c=
zoKGoo#sj3j+HT=-V;%A5hmv!K;ESrP5nB-#y=KfY1^ciLSu(=0zgHiUdad6Xer+*$
zZn=(q4OZ`&<`ae8uO~dDM7?+TAs>q#{PCzgJ3Z|7d1#zm9~8_}qewlON&K|YC77){
zV3iYoxM!Q_MObz1O&=E=+iI3eu5W$A_YL@A%bi=p$@T3})0C7T{KU!lUj!V@+w$lj
zF$Hx;7`(M<?{#t5c}CkX8s>_jT9<`W`W8i^VEvuX-YUZHFaF1y0$(vpkyV3lwezhd
z!AIm5b{&W5Lme*Ng*Ok}8n%T!pM3jH;-(+|y|;(mG`E|P_*3N%PrYG^NlAt@xROdS
z@gn?O)%|KV9P^cj`ahUD@~=%6JZN=iEEuNpljzNZ)ssUkufPG!Wu=ec@!@6VDERHY
zY4K-pcl6KVIM_Vaovsj$_~3BnHawKFEr{H2dbgN1r^9M&H;muG4Dx*?nef_=H_c7(
z=s>eT4t$|lI{zb_-00u(7(VFznUmb_`e=QQmB1z~hyM)1U40q!<*<i+=EQH9^?rKr
zD|qhEmUnaTHuJXQwXhkb!^=&$->TeguXqn1Jl1$?BdnElDg7fHd+pCwT6ifV^v@62
z@DEiw$q%+^XBmKbEqeBn`}2jl*2^RCLa^A%U)WYX)Oieck~X_Y+M9_B&|QLitrrB>
z5TDN+W?O@U-yG#8<AEjjktj+LjDLSd{iTC5S+dVl!75&b7q-JfT@MXe;ldPAelngI
zFm;jH0nZNT-`fdW=(*-`!I8t){Mq1=n}=fdz#|_XFL1%3bh2hg;GAoYW+eXQG~*Fv
zxYYXcR}$Zuxh2UMKDTq&nzT3CKk9D^|Ek^Cvj-k28J@I)#ecFtC;3h<J~i9G1tOAS
z0&vvQM>S`7^4@WpeQ<SMnczA2!j&@-2jCUg@>DN4P5->5Fg&`N6YLH1w1sy_!b(he
zc;gwyxAQliiNj;I8Q+57YL@#V@~~0=J<ZGT>&Qo&W#O8olmk~_)uS&%l;OkunRjDg
zA^NJ*M__8Lbf*M(qw;{RF8ue|!|r5w*sn)W2foBLvLlDYb&o|}h4on)vom22J-sJn
zJe&ECN{YlUbwwmUhCe$=JSu?AG%tGP!F<&LMkO#`)2+c;*z-+6{R?=cG34bNc&qPL
z?>F!rq2vSIaOgJe;RaZ&IEbnf-m=r{!+ThCHav6yHt`*K)(Kz!sU+D8$D8iB-3_1b
zK3eb#cC50~+;RZduYw)5WIo~7nR9>^mTh7^Lbl(Y)pM5_md^dk)(0Df^IhHszq4<N
zC-a>w=9=&O;f<Mpcai*^!`o|x;S*wWx5@lz&x?RudH9LZ2@UdjI_JOLP=xa{j@C}X
zGA^_m)!^a1W2t0*^?~X`qdF|(@il%G{vEODur5qzchQB+&urbD_v*u^oLqiUU_O_-
zn<c;zo*S2RC;6`@vTobM!#7ob&%?FFZ8YcMe3!P5v#>b3-M({hnD3xI**}xtrX5Le
zdI+U`4}5u7&&y<(Yu8NQPxyj+)M_>CqR!1h=2yn8e|A*CX?tZen_<3R#y`7YS?aP4
zjqs!I3wTs4es7zW5<uc<_4JBA;hgnp!_V-6`BR%m;Eus!O)}qWxA43)4ab*l;`t75
zbgx&LhYh~f?wE$poE|P&hW$AhXC~m!|B{kd;hM+^mjzhtZ$~hlD8}cr7j}{FXXYPo
z#{g%u>fK&~xznesc;QHiRW5Qo7TXSV?uFAUd9ugg%My9fCt;Bj9M4Jr@QD1+Lk~`J
znL0QGr<dO~wt|bN_Vkm#uf%Aef(@+pcFv4!uN9xM*8^6t+fGOF4@taKbb}R*)#6Bd
zZ=CB3ec+Q;dQPOjrraBRe*xAg4Vi3#YqyOZ4uHdYqTYUi<9<+{_Je)yRBAQArm<8X
zL*Sn7*F5iFp${gzNq)*}gCcVN9F8~{7X~+snp`92k8!VaKFR;*ag`|x=4dwOx(eHr
zT^lCz(L-;1<Ram#_g}as!Ak;9zr2CVmQRR8!UZ!0&ud}EiS0Qt@IGO&&;j_UWiS<q
zAEw%u)(2~>RYnKFBDDV)hha<l8@2&(Sm5mbU$6yp;|Q5=?tk$%Z36yq_|9t&xVEmW
zYz(f&{{=b0`;J@@nuB9z@9uVhsrr16&A@@Ld$TNI>SQ|Mb@)rYtHEhlsdDky8qCt4
z*RBWKNk}-0AH@CoWkHn+9B4xuaS+x^oKuy9nd)Etk%n)*P30i-(X<=4nWf-u6#bc^
z@ah5e2t~L>FVa^8ro7IXDGwi;d%wyH(<gdGXu@AMF+S#og%!ryj=~#{e^;P_5Bo%^
zYr|R1f!oOZ@@%76kUG5SHx<`B?niL~4bvy#n9%zRGq9O*Dy<H@R5s#I=9d>b4+I&(
z47Ong<bE48(o&=cn{Y5#euW!LhLWt{s3)@Y&9G_W^CC;Qi6uCm+}~&XUM9K1zJ}?_
zb+AWQWRVNZLh<YE3z*><<vuSs-oib-0+z}Bq~rnfc$D#w@dIP4WKtx&8m^j4#vAvf
z7M?}GMsKf+lJUsxeGYurVUJHVRAf9e#LcgC4X(Ig6ivoEKeQ5_#lybIO=oYx^F4YW
zW8so)_L1xGx@!56BzV_I+^cKwS683Yw_tVC9yKx^n`7wskOmu9=y8U?F-rOylVR$g
z!~A4E8p*kNC<o3OZ20N|zh|i4@DRQe#%g{RmbGTN@C2?<43)5kjYb=9<iqL8O=TwV
z&_(tQ#jw{-nb=csf6`};XRvB$#C9^?OtI#;Q4W8(I5w^Y`>=n`DTQyS$$F~77Q0zF
zs^M=YsT#^Kw_C%ZmvHd4(N8k4)}AZTEpSxhKSOc2gQeG_4GtfD(j*5fSaJ?_!<&C>
zd`R+b{ac^(!9HCUsT#2C(H(n+VUwfzUdQ3-<K1IpaE>>H6WM?17+%XcxKBr0iR{0q
zNVMv2xJq@Q!V>oCZYx=VYdqxQ&EW#w!r*ndm*rZdD|{wsZI((5<F988mgM+7HuPxU
z0y~^>@9={4Mqg=eg~Rl73q9al5i$o^;QW-6LVmD7*wuUNaP*JxjlQt+56UaM;CuA~
zfx&S5znpVI@FDrjLIH4$yokOCoc)deK{(v=O5M{MUM!i3^oHezpG2R5FPWaAC;R8R
ze|F6tp8jh)=nT`0p4w>#yKHQ9vVlJxYF_n%6U%zo$oD;UQGACdoJDgq%?R%5%3KMC
zZQL}q$b7;wV}<oUcnj^b&+72QU6#w&VXxhJK}X>?5!C%L@SSqyzuNH91*f`n_~eM-
zLy~V+&XJc1r^{FEA??|)2gDS>cOw&<NIspMl=oAZDUM&0eEvVTn)mPE+hOlNk^U4$
zzy7lh-X@@6cnq%26EOJ*n}22%`v2$mpY?nX_jW`U$|JsB5joflOJ<&ll!dQeeZBS>
zu3-2=CkB5=>vM01_s(ViH~<&08)Ub_*V(U5a>5@CoY}hJ;tl3?q&~v!veW)6?DDw4
zh|J&qJ>$cpBQbvV4-qEwHyS$6+7IxJ6sI0iA5iVJk|OPCKR#0Y6sDS;aweZICdXc#
z2?vjS?fwQo)tO98hYf#l{%M0%E6g}<!FyQO9ZCBm<HEBE@SPmBurAo`W%9*q@C#O+
z-vjUw1}B}XaHp~ZV?SJ~`mH4xHXAz<G7J|zyO$dT^A&`q{DL`8Y(3}$Q{Fs9KMAXM
zc5J=?hfLq*ABVF$)T3SCIwprZb1+2&!&xWzH|4{k8TiCV;II{(W$nTD7w&(iRBZ{z
zOcfmY1MdzfJbDVwx$OOP4IVk`&S3}}Jbw0m1>P3lm#GE6$r3N1702)EzMaxJ4(pz9
zY1je>oUCs-Ot#PGliv#4JPyiLfHzK=8!^JPQPZN5@QU|anceVWr9qD<Y#{$ve-|u2
z@YaSOUbM-n<$*Pyd&%;_`(JnT?ty)jhpKkL`n=(~f^e%uTp~Mc%Tesi56|#WaxlXz
zxvM9nh=Wen)5EH~f{v2#-Ll#flyK9@`VM(mdygG21w3IhJ0}Z|RChjF(!+SUG1^WU
z9y{h6ya?~`Df#aR?5#OTIStqE(3&|0H%(pXo`64Fc+#rDY9{}zf0BF!ia>36jpMe=
z514~p@U|vwK0;sB39n0(Q0v1N-ru{~4sXiq*sBXyukK|33}0Kfx@in6uH{XCgyWgQ
zpBTZei99}aaMj(-+!nA-@iXljxLH#`&Wywh_cvF-57{2%*}%^yp68Uo4W@7Ftl$bA
z(F29>37aF*j_`%tvQ1CmP(@2Ud)UfdEGio=4{3hm3P+BXT4lkT7pA&h;M3d1ekH>*
zWnK|Ua274Y#C167ba2KkxQRL1GXh>esT!IM=dPUP3V|)WwNkU-izj~E_l4aJAJXT+
zUjjA#eP9NbC;X4#2#LmZSNN9*<()#<DfGZM7q~HkrsxU0DeZ~*S=h1LocB5GO~WK%
z4JUoHI$R7dUX3j?fhnw>6jTy#pSp1h4jnCQD2J_<+_ve!FUtPPy@u!RzaQ0tW4f0N
zt6`N%ZFf~T<JaN0Z(--s>|@GsDWlTT8+a)pNADo4s1)GR2zy!m<39jjQ45Huho8>{
zKjwpHo)#@M!5?~C!+2oo^k@4&z)C0EZ!p8_2M1DG;C#jXc1&<HTYt$HxRX79lnSo+
zMa$m-5A!d-qJ$Uiw<v#umz@HSt?FWZ(?j%GFWEk^Vb?Moa!u$%H=L%ReQy>vYSva9
zgcmL+`cA`s5yy=O;D-1eYeTRGwQc<f@v>#>Pk6}CVqggNKR0071DCOQ8%)6>^Lz)p
z;IDtrxlX_@8XlE2!};_7_0Gc_?xWW}!zV8IEY8AFx#zdm!@_ytPD^m6TmDcTe5&?R
z*djc_Am;iKJ}MnH{|_#iby2N^mqvUT*5J;C>H25HN&f#)N?`o_S0JMhrin8CNb+A5
zmx|to+cfnKQz3paW0Eov7P+BjLh@r>y{<*WIvpZ%+u*2*Z_-!b3O2^`Oz^tX50#7X
zzv!i2Hh9C+tvkKp{pQ`wB>&8QPF`C$X0bYq1O9PAW62sWx*ST$3|IB^CrZN#v_?KV
z;l&PybBEx}-SV|8aOQ#J6%LrG!^40MJ{s=4Z#R5a(5rG2tjFM{uyPXDm#f8^tN1<|
zv@-T<FcVwPv)?fHCb58SxRXOrWfBg_na%EnWzXBh4#Pq|c2aflL5k;G{czC(ZmW0j
zo>HpwU9iUS=;_Dsk#3t+(!c08DYF;Cyiwt7%`lHqS;j*+dwc%_(tlkX92*|NBbTXO
zlm5GG(5rJ7{_Ja~OU{qal~;YU;NaMo;V)rIZO^cHxOkOo8#({p^6q$i6W(!O?*KXf
zJnN&xqv6VnB`@>g*9$`CH(=-fv2VHX_@T7^2w3!C@j?pRd$CzE3Z@#FWlDxuT$L+A
zV2Li{%y{^2NZXGv_(WfFMJ%kwqUz)iYyPn72!V&VEMNQwhrKGC`wzb6*r0q7w)nyt
z<_kw#>$+TmKYQ4x`M__~DyH3G*^!UJZm{J|1$HmEUwiLya=qKXEjz;*?%sdxs~v1#
zwzuINT%<QReHQ-Ea#hC`R=cGWYz{y8xY5@hRu9fkJ`LxDJFZ&5)&imBTJR@}6S_9=
zxzV8(4S4K*VVfzue8S+Y3M`wq>z^4c*zz(^3I1Cg6m9@prR}FD_oL~NpO1~;+@E*&
zrD5ZkV-hD|<vSOS3Ba#<sV?imSIWn%_Q8ho_Ou%C)IHN_a(`_!dL^j^YhG@n;e;7=
zI4e|O2j6Fc3~-2JE!}arL_+E)9lXxQ6@M6Jy3Krc75967{gOeFueU!va2Xygqj#2r
zE63>Q=iwT4{R9PgT{(?^7FN=Fv_le>b*3*Jg<B7fC`-Z0B~%JzeAA*4+f556@?Oa&
z;~T3^!=f!PRZdm^Abihy<>jIdp09I6TAz$(4*jmWxd2D%osT5>%WC!+KVjFc-~UX(
zvEBQ8e!$zPN{*Aylc?q1+z7{avX_zZj+{zg_d7T^CuuK<Pt)w5&4!o#rsGNcv*Ad6
z7F<df_n5R-?;@|00tf6G<Rs%E{nkIcci{hyhspeg+fHic#=;3VzvPhd5cM~TkQ;En
ziCfJQ%vySC^JQ55N14P%9M2_l`kpX2M0?JWjHmSNi-tVm+y5jxC=u6YbgXiRz5ci{
zko=7U^bKd=2d<Loq&)?9<5_F?-m!p|1-QuX?}{$GS4QnD*<W8j#eD{_P}OAM1RT*7
zou>(By$VU|g%w{@t?9s10>7F&VQtU5)Q90%og$kSc+l&cm=c_Qn>VQmZZmgP5QXo_
zEb!OEG@sM##Nb4qVwJbB4foKf0Bjf(*<1z3k1%f&f-8eGCtko6ZKv<-g_S3E2bRFY
z^C53|VYb3ww~OGP0rkgs!Hy9x`14`L*-`i1a1PB?m0Wmm`@x0nFjw0ln-n<imxDSx
zY$HY!cn6++o%?Ys{Fo|AI1F|T`>wtNjy>sgJOpMJ=laA5Cmbodd=|bbAmT~lZz41A
zlKGa|TgN{n{`(H2o)#Rnpzg^EfBHyuP6K}95b}o}=B4o9kbpn_QSjUbKiPXhN(_!x
z@ccsyf3u=LwHLnnM^u9ewlv=1!41>T+kB#eQCMBy0aqWD|FZ>-Ir5u>4c6>A7q9_l
z{#ujA2s4B$WmCYsdhKuN;fyl({mUmX-qFc9wHfv=IbyI1b40)P*aWj(KHokMOXS$Z
zk@@aX`+tIeVfPnd`D8x)Vp6DJ8XoI3R2YYun<u`_!sbu?j7Q;=g&h{7FunANp#hlb
z;Ma(8xPJS6&hK!Pm|$!dY{%yR_#3>?-B;EFo3!=*AoF>4wu3bv;0={3JkR0K(SEx&
zIP@6>bs5~mS=C4K+iJW@?~-_Q`sqRVGR=$T47fkP`a5ag>hJW{P&nZ`RVayjDjgRI
zhI^)Xsk-6#Gb}HC;cdD3qP=jX<N0<UIQ~?9G5NfcQ}T{(@T|R7&o?-#A|;H}d-4kG
zY?|QPInFHhupH}P)EC&@{g9>&Y;Uza@fG}{le+UXyi4}R%Qvv@H?Q9&@GZG)l?s^i
zk$MEFH~r_d)8z#mIiC7W3y!KWS-J-spS<Ki>Roq(-|o#O+wY$VRe?n-J07OO`SYKc
zNxkgyCza3X@Pn=f4N`BrykggR9oF2N-ysTfhBj=Bg;frS{uY66cy~lb!oJ<i5&Pit
zdNPGqVGTas7kgo;8N&)+_~S`BZ4TJx$dds-cvrvQ3?sbh)9m_jxTw=Bgc^RjrXr{b
zS02wV+XP#&7)r>(cV0eHUq!vp_j$URJZu=PWxEU;q-FPs!>vx5^Q8V*e`}2T5d2X3
zj?grGjdOvS7xs=ztt9nLpQ}>x`{2-6jc=sBX(=f8iW6Se({cC?7mj%kbHTmIjujnn
z%pU)Xn_-=a3!2SvkY`~AH9TGKP*e_2CPZ2#YolIvDOvRyJQ4l)N-9j*T>mKtHlGUJ
z;|W(OY&mlmPA<sQxBy$Kyt|bKAF+%wI16hE((&JdRpRdX+rj651%HZyU!KspBMuv-
ze6=L?VOv|&7~t@PhoAgm^CxU=%&`3g)frNcwshxO-3DKDqwx2Hd%n|#(!rc!cC;>V
z>>@)h11xsIj^7DR*|c<EGkiC#zSJ7tcwzArHEf~ZI%NUJsJ*xPqlN#s{UaZI3LfXL
zz4904lKUQ@1~>DzOFo9}d(6hQ;R)3tx;%K7$U~*$@SJ*lN*qixw4+c5&O4Fm6$9%X
z6aPT+^?Jh=FT>K&G<jz5OUqk1p>UuZ*E>^~P1;|?55BY<Aw~A@%d`I|ePQ~HC+Erj
zHRWkAI>20~=zDG95JBxBTlh$r6f4Q6AKN}-0Q=cpk8p&`omm_7;M>l3@7lxn+?G#h
zz#`FeOy}X-^ndw|!|8&XMb5#2KE1hz;agD#sb26)@s3ah*z%Qa8CfsL_*X?G31=A2
z-wK8;r*cb0;YSP`ih|&Aig*Qnm?7)U`c2qG=X5PMeEQ?NT?w$k4ONXD@IJu@9ffcK
zO??g{{GlN8_Y=6=v{-}+wx{@F`yAGtil(H5H709QNq_5Yvtyjs#P!m3g0=$w&sAY)
z1}@0xJyQ&;7q5G_!<Wsgr}JS?5B~H{SjM?OiS);T18J2HVf>ehU^0B}bH$HGaNP^x
z=dp18xkCZ}!Kc3n@g>2fin|O0VF#axL=yL7&v!6`<zsv{k@$FV{1H<)ljR0C>CdNi
zeQI@KwR3(k|L^ZxPN(X?idSRvQV_pMeR$6?`1u}R_AGer`|iK0@Ud^vQe^*xRVjkx
z;oAjn+2nlMBHM2y3)ilOzJ34;tk-oOglD%~A0)>sc-!4)2jEvLp4#O5h8?*qy${Bk
zRb>%u>1oNx3$w1DpDTcEnFM#Tz((OpHl?tq+P`TgxJ6wrs08*X8}z1zDd=}kynr{;
zm7UlOS9%@hBj^93Y?$$H4cy;sDQ>=k8)6Ja=U~sxEQM8Yg{EBbDEv#RW%pZnM>Tcy
zFf495bBe6jj0UtOeuJr>KdNhhBj++*+h8sE&YfiaCO<%Lr4n8#jJ)z5R_fT*S`LTr
zO}bC=4V5;UJ|+3>N-SUCpvuOB1#t4fNzo?w{N=)u2XH|9T-sMyoZIL6efYNjhKg2r
zRmYq;6;67ZDbNj@Q*n*nfg>jJk9NZAcPQQB;74bV7xlvw9(BiJ;P7(Gu^yPGH(oag
zHZY$t{R#V(>IwwF$9-13f53m@q#t_`n??<e!oRQ1hI_y}>29u*>#=%$#}+5}q$sBw
zxn587#`W97j9#J-$6@;{t1%;(xu$UYJnZy>wZ;Hm*B`%2+6yqhZ6*l+J?keyK9BKB
zcbE{&8cEyz4W`|9;O?S2>OmV_G|Bb-Jk_M{0?f7)VNdp-nep@L1nghZ*E$FbF<x&Q
zgDXDQmy!F!AWyFDJgh0vPO%EdcfI>Y@}Ee)A0q2lE_MC-q`ljdf_Hb}el=X_|CGdS
zM)pVShIihM6DDz~G{Mi3u;`c5MN{x&N3L<Q-nIMgahV}Ft%Xur1C~ghsp^B@Z=Kga
z4%;U7skX!WFUY+n>rI;{95}wh5nB8`WW9<?+c@(hd}`8B%McEK({=GZ{L|9VK_51Z
zc)#)n7FLOCGllcnPqe;*XSDohjA2b>Mbk2vWoYCh8Gj59N>LZX^FB=@wlIT%!1X-1
z`M?H~bFh(hrtKqm$@r(2GpsEUKavTX=`s(H^(a3ps@LgoW=O}*^DwjaSmSlr`{7!o
zH$3cbdG8vWRM4O01xF<6@`u4I+cz@%!#abn)`DTL(jOw1;8N?NFkkqb<-Zg%-g0Z=
zHuHhy?|d%}g6|cw^tqDlD`{_%^(}GApEsOffxw{xvc5GX(!pX4&scLgK7v09>wB2M
zDPhxLWc?}KR%78Lyp;9tBUuj;P&^W#0V~Tkj8wvUnKB!c;pWELx<>ei_xl0`xct}E
z{(3l*`>muTJi9aW<Y$<xo`y~wc4|^{`2^qpN*N~ze{<<yTY~TXF;3kD2l5~MLDqYY
z#T&En!DXIQ)wCEdH=WL@<A%HCo=1}L_Osx7m13}ASoUvL_^3}!yeO>8V_ikob1YlS
zuPDJk1`UPD`2M<L+nK{~oMsslFI-yxsq+|oe<E{S9M+ClyrKdp^3i>fgbV7YD74@K
z`T2ZR_+2jbGm_7K%ppz<wtTQEOpZ@zla8w){P!_smnOV1zd`R5TyDK+WB^}Ve_3q-
zCwKl9)`R7@Ds`E`H8h)^sl(Q$^YNG9BTe7v$^NFlcX@IVUSSxCmxlL9?pP%2J8G-<
z*vR+&#(sq*8ZLKyo+<!e{$dxB01G%KdF_Mc^;=WpU?1uHMNW9r&2V3`-eXv3|6nIf
zpE{Y44xfMLFSHdF=6}860sKqJa3dqE+91ezAMU7hirfq@71b<0gZl-x9@+>8_3&?d
z3f~>$ulRc$^BKjdkTO{A`$Fs=xME!|?K%8~l7V#!Ue4S`OXipLJ37b5Nqo(FADLgu
zWzBdD!gs$*+^m6bw^gVQ!21GzH&(+m;-mUsVE$`)GGzU!*5RpO6Fk#EYe?3g>SP<9
zyoDd^eEIqVJaXfDL@k^#%hA&aSJ!6Kynq?P>NUywlb)<Ye>u#>8WHjdzA}D$EC+6A
z6`UgLJ%P5yZyvxyHzH}sdQoq`+wpYR_y)f(S?^K5B)mHnemW4A&;k3NR?A9&$M<q=
zAoUQlt^Y2?!N2Au4M_g-8I3KzFuh*gtN*VLt!?P@hB?>zn8|vQ`$bJRb6Cg6KA6-?
zI94|tI}Kmz9GmEdU4_q_mLWDjYewR(fvjRu@PzW8dJ?CRb5q*}Pk*$MB5})8`*tzI
z7bPj~lej>p-@)l)_&rLa<yI2^6e&hE3G4pOJWJ{cLW1XSwZaE;W<LLfr5AZzo8eM@
zi}4@u?X5Di4RFn|N2X)&!S&Jlckq*IEZ!sV$-sXns^PI$rw69tkZT3JFJTek13O9m
zg6d=YfqeKvtm|b`U#jT6OqmNCCamr!+n-rj=D7$<_X;GD?G;n<mM*}2jWkW9UgYTX
zd6O;dnf23}?BC0k-3RR93D)Cd<oKRyaD68aGp36Mk-yh(-r{LR_`xmZanc{Qr~cZs
z3-&6P{EzgPjraKu?1pnzy1$VA)fl7taudw-=$kF+zcc&+zc#~jVo9Z>zx)4+_nuHg
ze{)FI%!7v+>e8oR9x1Q1Y*;(9RpcvN^gG}nIiHwK*H5*>#<II+V_}Xlx}{W@uTeJQ
zD$JFAfF}b^-OM;o>KpY+{L+DNmAG`I9~|{i+3G*IzG7jk2fVvT;IAP}c~dys30@hH
z+iMJOsC3UTfxVr7eWHP{DRa?T!R!j%+0^i@E`!_T`eP=SdARo|*2gVoC@f*Oid);e
z;ns^*UL=0}sI_1P{AKg>cXEB&9%H;-3ZF=EJxSuO_c^!Sf{Uf6DoK2*oMkKlc6pV^
zNIt**+0RRUFl7K;09o(WE$Gzsg*P#^6p`zjz_H5H4sgJVGB>H;Fdlm%W(SWy=T#u}
zo0j7A=jL$7&l@?8@cGso*H6PQ<=kuS;Rg@?W7dcF<+mL?5C8djZsa5!mQtd94!*}>
zdHy);e3G@?3(ogbS5t$Jcg(kv<JZ6<*Qfxqv*$eyhFwlj`pUo?L?Rl3;D;iME28kb
zreKCdxZEQqL=ZlG+F(Dqp4JD1Z{7pTrHyaA2X9ChDc%LI6jtme*V9AOJhI#1<<&!`
zq#l_NpOm_$iu=>;%ZjA`vY6drqe9$#t@_a%yeC6taudAY;9T7dY+a$^wSxS;e_PVl
z;lQeE+>5Z^H~;cAc!~RZ_7tq0`!$Z9)E9f|^~d1D%zlr_dM#z-`)>oV;PBm@EU;Xb
z?UO#3VodcAS+8|2bdYF=f4W_v=Z2STWBXcQ&lNsFQcpfxe$(zfoc6EmDOu0_(_DV8
z3YPt%_E8=Fy833O1Wso63nc4_@v8}1kKtbiD@nGnv2^C=`!L5l>K;GXo}=9$9X7}E
z5UJPe1^;SKghix6Y=hymEyoKI;PkMi|AOGRDW@c_!JJ`pV-fHwLkZ1Q_>GGTRXE%(
zR~r)y&p$rnbqyB(#AP1@w}^ecaTN}=5FPV|E1%abk@W=Xtyl2OG29>9<XB_i4-`qq
zT;RIVt~#=QaqUHWh7By?d90tTUl>)5@t%es1-*(T>m|$|<^uKL0h-WvwXlOL*A*o=
zRztXgtaoWMIh_@Q19<w<$$HqWqbGW0VWv25pDkDq8flD-It2S)pFBbj`|i~WJ_dJ3
zUuD|`m(h3$tH8DeIxC#;9})eBny~uIU5<QkZPJ-Qb$D0WFKvD}$yjkw7j|HLUUmTP
zVn6mt2fmUYo^}w{@ZPIo3`>R?ZIOYOWA||x!MQyGld|yI<qgReaM6xsQ)PJX^17QD
z+&rJpqXsvp71^DG8MDJ;v|*>qkL8`=*ZXWP=)jB;5zjqg${2o!Q25p4Xv|r7j|8W7
zINaA;Nkg_*x31txfOqknd+q?IwUkmP!g-ByV(xI4yJ24zd`+gaoBTZ<rCa4bgqOWN
zn*-n)MhUT2*t>kJ)eY``xl_9tc9q~eP1-AedY7jkw#mFqNj`t;SlHq3FqO^gDDw9^
zpr?}i3)V4qwK9Rzawz)-;DdX9I3I_TlwN3!!uvU{E2+UnmTC6Gusu(GodSGZ_GI%E
zJg4ZEA_u$89hjJas~_cZi^FUok+m!E9rLO8B5>YYo9|07Et9YwA6$EBi`GU-{9Y=j
zVIL3dY4*cz9dYyO&H3!Gcru?NBjSy&GRCa1J=L-?J?!_vr<)$$nsBRT8=Nvg^NbdD
zNp<dJhQHm{kfwm&I&aWqhaYxz(rtiGFtyt5fZaB*$1kejdbP*?GZ#E*lH;%dvz(P4
z<AhZPhQ=r0P7B>P!mteE^6e2=Rfw}^KP=rR&)E-e+<sqO94;<-HQNg_Cn^LTfW^~Q
zRzJeqpH_|>g0K75HNS^npN-rk3Dd=HHmQNHz1iR{5AVHpS>!b=PM?%54c}R(mMMfy
z(rLCHfp4r|rhh^#)h46}M_AU!XTt_Gs<)5AivOuPX2IEq>7J>;)k+Z)$*`Z1H>W0i
zICS+*5*(Se+29ylpcV2l5_Z4(PS6Mz+wSZe2G6P+oY8}yo|_8wgm>)7Yczq&=Fgb8
z!>P{hKTp9=YVP$oz=Z)dx|Z;jb4*2caE42yi#fb0!$8IYe)y{G>sk1zV->v_Orf1L
zV@<YS+mN6SZyM}3cY-BHoE&xG7TT<f4sgl9<B8+&*6l(%KCrmdg(OvYd&7|91^Cp(
za!z^pHfwrr6nx#WAx#q2NEnTYh8O)pb|}ID4E)OpFwOIp2{~9?-M23hesDI*k+j#g
z@3~eQtn=raqB6Ye^;y=t@F8jy39^6oEDu6*U^S*FYO;TxAy(S?u-K{TRV(<(2hkgE
z;JlFhz|$~Znp#r@kKNR|q5+GfrXP3<|BVT^Am1nEp|nOV+@#Pta2P&!^?dPr_?rn$
znF8!Dwz;VR7I!+WNWM??CY6_~@GmCMt$c9V$Lf3k;FUKV(IT*e`UpMMA<R$eB&>yC
z*H12U)UY>mcb5dLk$=mQ3AS*ZDinkL0>l_u;ZIou+*)vT&sjfCxctV{Z*`dQNVwV_
zICZPcm?_LJKh1FvuBKB>G=ftZuWk^Buh$MTTEf4COrM;DWhffYlKAMvzXUy)^N~X@
z`TNTzC$u@h5AmaGWB7rrTBQ@*+F$eS41B;PJI)tQZiomW{o_4eJ{|x&Jt*-x2h%=0
zQ6C0>5suMvhEtf0&s>A|YX3YG4ev2aY>bBo150V5U|psCw{F3wU-kSW{r|`Exee*C
zfPHQ&>Hi)Z6^An5fqwaucj0mF5dDYnjy?+B47h91NahjzWFaB_A-wn?Q}+}6jOxhS
zRJh*pveakThrdyYoPTQ*%D%tg;M$K>>2SiK*uGwP!$MAL0PM7@T8qS;`*a`q!ONnf
z{|&$vii*Wf@FAzy+qz)3sD$q>B(C>Y{Ts}}5im;nQ`sU%F=<cqHh;AVeDP7jE)w@p
zUTBqqH=fOjByslWyN^hJ;d3^mX@d___8g^wwbpeqKEgMTin!Cko9HR1-@+lyBN3y@
z81EjUPOE}tUWz{*hi_j}D18B+uE>xYga<dNYL~$GR)1Lkf~^_nk_$+_D&On}Sd4SS
z!5r9}^(<!->~ly(^8v{}{^8zRc*_I5@9D6G7v-mVIDWO4B?TUcYHcrtKlIJ!B)~uS
zQ*Ww(v$DJYT!)R#WNv1{eeu;ciLj0%l~Xz_?Z5E@iN}QB2?~J41HMU-c<mWS13&ow
zZ-Gn_&t3oRXadL5Ow*9~&fHqXQ*iO4Md4sr*K>4nQ3?N#qHOSn^uO1CxAHE--be0i
z^@4j&?knzx1x=S9xWK6n$G`u8d+(So*ukH!8oD*Yv4?7|S;D`>+>$@Q*UDtOOkinl
z@BKyap|82_<a~H(a@D8=9`AeIsR8>hbvY-%J7X2yRbY+p!-<J-W$H+^0{rMlFJA!M
z{PCR8A$Wu7Pu(Cmf<r7@6fP8O?X!i0K2^#Iz}cd$v<~o~c~aC~`1yy*loN1e+<tBj
zSnq7f+mo=56_@*Vxa~vYDJhtbt(=kp7M#BlA_I?w`MPh0M`9k`Vuc6Z@7heRH^0s%
zzTN?^K2m-?16y=lu<tp7@!LYA&|jEKB}Tpr{z4OXi^O+V-q9_G$IdmZFT(yaMSP_s
zpRV79#91cG<q~20aN4gVPBGiUm;jeO7E>ni?VfGC9&nI?P9BNhQJwmG9@bYXTAqci
z-#xx+1kcUa+AYDhp>Hh>;GdnM&*x!!p|D9=IJiWLdj*bfO0JQHeQvZFk@hS)*goxp
z_0wCc$@eo36UpL*6;zKgk@lz-hs0@N%}a8A8*n@>Ut6Kt0>^&oDInM5<D9<Ci-%GF
zRczcziMaCfsG;BRXr_uYY46>F%EfN@oj7kRIiANa8ESXJdZ!IflkMkbLw*&&kLP)7
zHzCf%f3xy2tdQ-dxs3SR|H_TR;IrzY#Tya#vHP$;1oq)9<RbCpgr`T&!0GMQS4q6>
zSnW0oSW{|dp6vh0KlcUY;fGriElHfow{%Sg?wnIEAjiY<jKvKu*mJUf2l@O*4d>5t
z!a@}(PHTwswK308z+ByeE#&+C5#Xuc05j>VQj_))8)BNL6;aQ85aziBp5B}Oa1!>(
zGtMFTTdvSN>w)KGziy?6XMV9pcEKLaxyMPqFH=}tBdmRU&r@=L`hDTLeLc)xv+#=!
z9<%xDUJ6@R+39YB7e8z`Rsx3x%3mh=#{aqM-iOr+?oF}5OOsxF_u$tXF7c84a=Y)M
zaWIo}`wi0n7dwA!ih;*Y7Sxh_7S@xDL2%pT<^x>tc&y%_Kg{abdzR!|$G(_!hVv8;
zeB29nGQF&Eguge>bCUZdkGHwONjU4XY$Pu%_1#S11iW6q{UtZ-X;&w%0N-5I-$%~R
z{cUfk<lwVcMa@b611@1^LAZV1woVA%oX9`44|aW`-zNxno13584QrnHA4m5c&(-(G
z0X(Vfy{YV#St7G!L?lwEjE0?Awh&oKW+Edqk;oQNDP=?|A~G@}NkV)pNx#?m{rP;n
z-}m#m_kPa3=iGD8IiJh=^6=c!QB6LQUvCv64L7zuGN6S^b0a@1z=3u({M7Kh{TDXw
zg1ygwx&2QK>-oE<x~RZk<wgSj!ntK(QG4Kp9M*r!u)RRu_r0({DCN5)`03hJS`B!|
zQI!+3FlB9_mk!KrCN4Vz$B5fKC;7qN?T@<QWNL4j1Mv3KwaHy@ua$C$COnjXOsE=u
z=AiLe50>}W{8<6lWl<?>!78I8QE70=Yl^&su+FV^%Ny{h$NYP8zUjnE^e0vEdv)E>
zl!QI|3$~5JQD&Tz+h9?REcN^F`$L|A<oEPcy5(2_@9J#pWQOM!n0}_hZ|~ae=7v=Y
zSh`Z+`mbh7v?M;y;&}po+B9^M6;|Zs)U|-`WX^X@qx>ffw5q14;Q1|FT5%o@Zx~`q
zhTUfwqG#ae*F|#tVOi<H?c*d)#qcr^?z9_v)(4BdjGfVgw-`M**$t<Oy096*n^Qb_
zNqaGFY`l&U-X?##ssR?)d@#-oN0<GMD}leI^3c9g#&|T^4PpiGey&fuU&C!mf30%h
zi$g1WAH&Iy7oOjNgN0<+o8YzOx*tifS-N+p4IH8oZJ7?goUY8Zf~AX2P9?xI_nxWj
zf^Sgp8l}O5cQ-J}!>8u@bIA7U$EmV8;hSEuRAhUHeL7z3@Di<nFv(}PJn)MSzBl;#
zYBsE87y60@{>Er~hqR}|CN7&&z>=bjjJM$`hKJ(+_TYKzSB_*p968@q`X9XA{6NxO
zxKV8}Y#C0RbZRezgZBT7orDW7QpuOWCsHKOjKgz^H~-)MKF}aNJpkY2*i~JHxSXt2
zV?R9T_O!bKE~!1G*$wmGFjuOF3l3f5=z>qjemYVImn$V^w7@#6-VLO^{_uN)$5S{a
zo}#Z2KCb?FxgKWHjZ-J>bziQjjyibYSfSSwxN-SgZy`LXD>>8(C-t%3Er7*l_Op`w
z4j;biWcV4|;{ejWx3=1QB@vETGB78f&-D6e#UVII?(=*#oY^TkbQtzO8BR-%C-8{m
z=>zbY-vR}sJggM2Ue$+#rz>YJ!$Tp?Ua3kLk1!h-b`f?wCz5>={&IO+gC8uiho(3h
z4p{kn#1lS}@wg`j{&Tp~%^i-lEVl@Q<&5HTPQg8#3}un9rpwtz@;tYm@MmW*{Ov#O
zW9Bf=Oo7!U_<q+mPx8F@Xf1Kv7e4cF1C0^9sbV*M0Q_3-qlh8QeOe&N6TX(#@<<zw
zaevZy0nQ!1Gf19KIUnBDJO{hQU%Nn_f9r*HTwGz1Snqgc_zA7df-Sr$$5Na;UnjqQ
z#_IrkR4JVz&)2a>lSIs54Mm|}qOf41ps@u!W5~fS0&~bvy*mu|$Zss$3Qs;yUN?am
z|NU;~g>C-&hU>#z2WHN&!43<5%M4(PwTW~l_ykwW0~PpWRo^aZSmCnHgc^M4++@^7
z`0~psPa$|9?(;VqxSz)HfB;P4JV!(FuN~Lx<bt(Kzvgd%dlg@-@W9?#d~Bru<H~>r
z%`Zjt|AjIKlK6`&Eu$;2U95D~8secDAv2#~ji(xhD{!RnPu9=yd%xhE?=bzLn7mi;
zTRz(@KVbnkHos2TS-!=W#5ef`U%d;n{LC2n4_39KI$Z>tf9~e^0sBfeI;X;-v)Mtb
z@b<0R`%+*7m);tZ-&F9QemH!%B$IC)9?T5d9tJbn)b1hsXB%c-;14fM`DasN|8p`2
z{e9v5JxLEKV3*12zizM{wTU1(Kb`!$dtG3fUk(~n@JI*aaa*{OMesK1-?5RnCUXWh
z&QWS6{W}%A9jlJR;}mmZ?C{Cj@n~~6NM?gJEBsCP5&dC!ZJ^>V5B$7!_k<ywp5O9<
z3(iPmcGQOH(mbU3;agUb>igj#<`g?VxMaV^0eQH6zjCJ#tVUnKCkwAH9{el-Ul6#K
zD+<rLd@+)M_b{ya2*dxX=%PsZ+7eK6i4_iZE|`;oEnS4nnBh|!YN&U>3(wXEso*dF
z4tS9A8}i<{d^2pv?pQ?1FXc<2hUMMZUy~&UMR>=j*!U&*_<yViNdEXuotxvZo=0ja
zxgPTC@40=1jqW`7v>U!6XXn=qZ?RG^RENJD>p0W}FP+nNB-hiXs=~J|aKH1zSLAxT
z`<trhDg2GI<I6tySN$ic2AJZMnu#9#SxATC0c=pB?@IcIJaq)4?!(Dybv=jR(l^1D
zr7)A|vv~v9>6qnM0i5t}hnXq7u(7r_57v)XJZ}Pz&m^m+!<+7<zqf#!8@@25!GGT5
z{~-NGpD5Z>;$b)LCNWpo`({1+6<Ct1iI&`-l<&MxNQ8S5dCrsmpG{u;_9Wl*z;-io
ze^cJ7F_sD!4JclTgHM_MIYsiXtc%}{g^wK_`xFhYz6zne4s&hgc^C<6BzuUF`c3cB
z`rcspd&$#lH(|eXyV)<o84Q)hsql~-Z~6r|!DF3~)Nj5TM(&>Q9nZNPq<&+uSNP!w
zPx2`y6~J3>*tXll=Nbje^58Gq4UDYe<#KyAQolK#_Y<;&7rvRuk^UqXYnvidxKk?e
z#(mhj=Sq+Xte;^2irnurznMqvgY9T<DUkZW&FPY*27D**baW}~bwOcP7^V`B`$p=I
zg#MFH1Yvp202-2i)qcMY54@(B=Rw*RqI32<T<{lT|Dsx0*GNHl3oIIblY!KKt%GL2
zC}Ax*PhFDVyC$^phXVRHa<1HKhP4v3-!H(EU%c8L!)97LtY+Ztx1(i9{df4M-p*+_
zo8Q|08JwKUq1Fdq;BxNlfCDXeGWWuCBYbKk{!03#a3$Ql%9BUp-ZfLd?!$S`Gs~p@
z%(#Ce`Ub4oFm$pLPUo+%x(=t$HYK;gpSJ`$T!z{Fi+^>)<H5;lp>UnrRe6$+{{YhU
zfO)ChQ+wbq1s8bT;P+NGRc}Z<-6F>h{(WA9djO7Baq&J2J3C14?uW~hOn#q$jb3cY
z7=g!+p6RxLeU2~J4#5(PdPj|6A&QrLlkob|F$p7hi$dL=aoB-LtxN|F5{<q^+KUsM
z2QF)o{Qu53koKj+4QVP>c=vPa$Q5{5LZwm>o)`a~`vYE^6Ht<YD|QFCZbbXkPe))(
z0#1;!yh5HwHy)<37l8j{r8JQC@6P`DNgmjh&!dk#-`}PF;KTwScS+nL1uuE$ex`*l
zp0^bu?dj8R;#@bvT8Yiy$n${9d2`P7UFa{DOrTMM?OAm*S76QPkMBtPzt(Sq?jpRa
z=I#P%zpL6Tbj-kZCf^#5z~j-`UZ3DFRmt3=u=j`3`8k*+zgX!!?0IuwKZ*C)E%AE6
zeM1vXB%XSs!!QQ+O6O6VhP_0$%g4fWl>&A1a21vLpLDowHS*LfY+=Uyob)G6aV41j
zfn7$*B}sqN`(vs*e#1`_SQ$xw)CUcXLJAz;E&pmS(qC2HKN;{3aq)59;}vk%$*E;3
z#9Mbfdh`GeGLG)p3`ZT5%x{2e-J^9F;i(^8R8L{8Cn7xb@OZn%+%q^iKsbdRUhADW
z@)G_f+T_FvE1x>9)CJpIY?$PQX*<_5d*O_5qk3-mDt$m`AI#=`P(cu89u$}!hJ^<P
zsQBRvUIOJ~aJSp5zjCl>X&3tpyxqW}hm;5B2WOsrgX3!VY3so+9XTXc;1IDEE?xM^
zE|HIPiYRZT(nBRMWy`7#8{Ao$S6&Run&~of!7I-$6*j=NM+CgL!;|~I2RwjHdPIdp
z;FF(fXWzh02dJ+|!M9enKk0^ZBpO|1;L-&e)%S4G-|U{<aI&>KBe~wyQq3PI!PkFS
z#Eig>=KSHh@V6GWU4yV$<*1_`EW`4rbR6~@zN26cpW?b>M)I3~yKx_fd--DDOu-vJ
za2mM7eeYb2KEelI%*cAek4q1?e}>PvIk(2aYge^-NL+Q-!FvgCw5ebUi5D1+4;RAU
zr|&b9?{gdLd|Cu|hQ-8wfnBX4;_Bdu6TJ%L`%)`?FVw>=_wL>Q2H&;1+V=@=dL>yj
z1}C&d`wha%X7a6NutwGkmLAyZB>z%5{FAv``VCxnLEo<k9@S-NYlr=NcNN@)f9Og6
zeGY5ahn3xg6J}h~9>E_I9R@StUji>E$^OhXtbX%{rF7V`?-Oec@LYsD#HIamVBMYL
zT6<uIKZz_i;devT?ke!eYGism{4-vMnhE|m&+_jEyln0}Ov>-*&67;w@IXx<Q$4N+
zq4TZYS7Eul%E?;TzprQfGVChN^y@nOt505!#8;<vyOQAI%Nx@p;BV(*EdAl8I<xgy
zn2!00oG)BHmB~Z$SuXU|xWQGnvmr^aqbhZb3+%m1E`$6&nd{pbZQ*mP{{K>8#o5CX
zr{Q&{CSJ0?smu<J$Kkm^iqI_hJpXkybNG0Sc4h|ruc)Ni2-cbk-;fWBet4H+2sh7d
z*^>>k%5KV0g)^h~Ws%=s#!=c!8P4;fnkVP4Pv^o$emGD|@hB+|*PPP(x59-?l!bZl
zZQBuhN;r#EjP@?PcAip|0-nT7rUKaKs&2>Uop`_bi{)tv>=u6R))ed>{gst`pHf4K
zbQiq7^vkal?#b%j@DhHnAU1UymZ}!uD26w6h#HVMt-a2dLO80ZriUC)5A*HI7vXBl
zf<5H(Z+N$x2f#Ll%eP7VyC;*21$;}gkA}n-@)h=(!CBYBH1ELMKAIiWfm2FO7M8)n
z-2U6NV7UUSVRAfYIWoj|!V4P)H7j9nvxk3V;ZjU?D2J_mIzz?apBaCeNqPJ*Fmp@<
zej#l#Tm$!>Tpi?t%N<7xTj022smomOmw4HyPvM=Od#RY<r#|$b*I=K=-bH`q(Z5mf
zu5%r(9Xu(t1#v~cmEY`2cwQ`#&HjgYx<~scC;a>-3lBBorp>|H+hMc7)w#{EjJuhH
z09;2o?8pcghIpGR!Owz%C#himpXO@H@P$E38)mY7C0*`5SnY?xE|P!f<5I+aICYk}
zj1yjVv_5PCyK>eXV}&=GA5t)do1e$O=7rrwHr_k|clVzt;D)K%SAs0z7Jh~8g76>z
zvj@(>0_sgKw!-&^t)*PyziQVtMPb<|?1^5m{(&Rx!m!T(yN?gtJSLVPMa=tZFbG!A
z8#^lrn|*ovI0QZzR5L<;pLbVdg`?n!z0Q?#@L{GK)K}mHMs;arc!vW`Pb&O1_GYgF
z{I-Pm!A;nK)%mbGEPA?+FBg`2#Vn)>UpV=7Lq4oH|1pb{hn*fp_IF{<&EcM!uy)|6
zTp3)jy3OGT{PS0KN)7xrrcuQhenEqw*zjSS=o(V~Mm~p)K7tbu3S1%O&-Q*%%M<u!
z{p>~?_`}z85^eC}zmR@Q_<F+ArI)Z}5_6X;ysQ*s(L>@UIXUNGdG?3u@8Dxz4!mCQ
zXWsC<A$TQz;hQJ?t*kz31b$~&=R~fDUu@xDKf&QGYU+OQE2~Furr|N(4G%8CVnQ*B
z^KjaH=+$7jTcDkH0d^VF-W&y=*S&G+CoI9-JP-~q{T{IU4WG{nJ9-Ts3NGr{um``7
z#BZ^yu*%H$`y1i8!wq@Kux;lPHd?q!N!lk7&i_jPn+_iNIr|+GY&2<PN3Gf5Jhc-o
zsj%E8d2J3@Esb+;4*a@sWARq_uTm(>EqHY2iMZ|Xy0rQ=azCivC9@<7Ka|KjRRC9c
zUwJPM3pH4NxCht2vsRabKQK3y-GxiK9trM*@2L4mRKdfsDN)MsvF~sGl*4@2PaRQ*
z|Nh*!*bGxOsn%)3_k~lRKZeDkSi|(-YHNyzui*~vrK!WPHHB&1E4akXF!dPx_LS@2
zX*kDw*B?tbFs<&*C-~yhy)kQeLBz@M8+`S6imp8zR9}XH>A1dJlbN026HyH8Yw&Zm
zOFo`(dy>)T-*77HRZVYrEb;CzE$+9phb|Uggr(U(l~cn`+FN3SVF|ay9W3zd(68?i
zu<4=Jzl`w3m@9ozaN54}{#-B(UKqp^2j&}cz)H(^HYdYB*;X{g;B#g<=hES4tpe;K
zFcY7uNhbW>wLM-MJ}{(En-BY3{C;K!ywjpL<2Kyccw=}MZ0Fnk?;flyR$nd;XB1zU
zDudfMSnp7QTg5yKYT@<Pz`shc0TZ|U1G2r^cK>~_>m0|8$8eYR9zzXSJGLdT8Gh|L
z_(B&pYkT&w4Njf?c2gUU-0Jh9gKU32p6w7E{=jF)Tlj=q_VhuRsYRN(7k*r!amEy0
zX_EE%05eYO?>2!aLuOA7!?`Wf_euR)`u^LKNx16Rw=hz_{xiN`I0c{YidnOP?^0FM
zeuMWl#J;wI9hCeR=3(JZF#~&e_E3n~e{cnx$Tm`+v$n7auEJYp%~`#PwYNu6DC7Q9
za(L=I9C>x#g%VD8pFR}`TR5-2p@q+19o$9Q6MBxX>*(RXGahB3@XYODK6W_vv`uIT
zeBwkM1t+X{;>T(f{CwrP!#3DMdgN6E{P1+aA%0lyiKl)X{ME9$QViysH{*+iU4v88
zB;W<!nH!{iWBtBpO%A?N*zQEyH*Vz#6FXrK*AtWJFrQPto(f!Ps#uo>H~$weqXw5$
zKbOyi#TW~cwcx~+Ov-Hd?9mi|9XM@4GUN`Ncm0vpQ8>z_Q#c<M%BYhtgKf83WS77#
z`#vt&!iL?SwMqU}s<8okcwzVX$M@lX6U!QI@C6!$q*B=B%&M>l%uU-!N7`#wB}M0h
zVVRPhl@+j#^R9Q7;OnO!NHxHp%=A^FVNq$<^*Y$-&`JInI67#-{|TI}6#XR)en4xq
zy%DyW&wZT^w=%!J*#akMyh<;Ihx&N;lKjHD`Aa2mT2e-R8=QHL*PsE8i|ex{`SgX_
z@{RD+y6HeCeCLt-Y6o1uGdP&!dpG2ab;2dbfBk$74=)WfO~8NqZ+djVxevMjn}nrb
zGta(-8?^T|FTtMQSrT5sqg|KpEW@I=qG|f!K-q>qS{2k+mu5rB=Uoq{YNChz*RB4%
zhrNO%qxfJsdd1vc_<Qmt*KM$;W+Cq|oZ#MSuLZLjUQ{CAN9!PSNC%FKo~{^#jj~QL
z`NO|@-+8`-vtve90^mYpm9IT;S^vvzwJ<kpRM1m+rRD6V2eACi#DC;?bUcoBzkoeo
zGiJVkW!-8&x4_4qRSP_Vw;$G&J*A5N>W?%h65x{pc6!#Z7t_;GQoiHq2C0+aN247X
zesDtQ%kRlByE{DxxjrJgA98fV)#_7u?(qKot!uC0S0VyiNxs5|+DDXXC|}LV{f;EA
zIdFS395~f#;t6xU+WP$>%)mcmPukO$+B&EL;YHnNUv*%aLLu8buvSr1&mP!~<;lg{
z@K|x?aXHwsbx*mSI>u9+8A$vO_wSDrQEg}8HvVqTd3bu=@^B$so%q%D1Dtmu$)Nx)
z9-LWv3v)8@%2mPH`rA@S{UW!`P_F_u8RX-A0dHDtWqJZ{W7lpZ^;K;85AjEE%$(N#
zdRX;N+Ob~vsKuwMO1SG|lj~bJ)M{Fp)Q7Qce2QbRe8tzn+i+#3y3r`i|9AdW7OZlh
zHeeZ!iL-ut1J1qIowNk&P}y3<!J0+PCn+@WKFs^TuPgAGBGC)~5N}d63JHasKAco#
zMEr-lFn<ty#K*;y9#;03DkSZfgJGd{Y;fI&B%kx}$>xM^7P$IA#vdm*nj?1?5B$3O
zZ>IzN;#Zjg7aV(Qiz#V8v0iCm6@#y<JYPBiYixP7Lj>kF>Gmh>Gh5A`cqy3HPU0YG
zpS7LE-~Yh6BfDN7fMusY(C&mMIIrfA=YgKmaUnT)a4AKUv=2iAMxvBpLDMfQDzM|H
ziR|5QSK{);opArz*ACk7$)W38W#B%iHzE7so-?`m<ar>2_vwT_yxr*Q1tEC$IsOU&
z)>HcRiwCA`F10xf>+5NDkmrM9#(TbpVA<<N#!N8x(c}+D;hBzPeg>H5K*G`yINU$C
za1;Eg_q_QD_~*L`pN+6k#knXmSjA^OY!S~3J41A5tw{dxUeoWem*f78mat^^p@C`m
zYY3OaSy;jHYVjvHm7X=^G<>c6rtC0$(QR_v5w<$pyFLhC&l&!051-?ih<FQsIe6FF
z4W?M)F?$VP5Xkd!fgjW1y&tT>?mTz_7N)hi_Z)6|U_s*nXNCqnsD{_Ra=H1!lQHGd
zmGFP{jFH~(t?9=Mci{%5mopdP2OQr=?!e-0b=>~2Fe~Hi4LC6JT+k(0^pN_)>+lc#
z(<#Al?^l#<xX*;?R|I_D(2qF=eqT??91hbRj!q4QjcD(CU4<X@mOF&N({FARM8Qsc
zZ!WmO47SQt@i1fQe_AfEUNo2S6}W0ywC@Pn{z!RM0({2Du+SK$_fA=jf&Jh6?@@x8
zeFbfjU^)F;RJ-B!QI_~PIIHa;n=o82n6{V#8)=VB3cv}nR|HAENcie^Cir62=E$3H
z4-H>41MFk_vxej|(JFVX$)UcJaO2K`A7`3pt-=Yxr}Rm_wUt-#7dSWk)x8{&|2x6|
zGn^{f+HwnS4$NL3g`)!G#0z0Zjr#6kcwZC0MIM|P-uIysK5G>Auoymg<XcGxykpkC
z=MLP$u_pf%{<tKcUJGyBEA+MrZjutItcGO_c3ITGM+*Yk8%h3cP4O!Dzff1{1~`W8
zNZDOD&z$i`8(d{(XH*EEfAfd76&9xV?ahK?WcA!%!4H1~7G%IOMha1#a0h*yWHKCd
zZ(aQ#+}V6+@G@Mk_Wsykm^#z$R3MzoO!dcXFZu^q&9|L~*``e=E#QJcg)}EP#X(3Z
z0%lLN^09=ewqD*I1^aUD{%#9*DKzaB+=ufk9lNXuOX^yS3&RX&jotUcC%Vi{RA4bm
z&EY+;^zDr*YViBb6y};Ro%nxej==HzU$v;fM_!Z~9EESN#A;~4m$fszoZ*GfyY8vM
zdx|ZsTws;RZz4MIfwe<IfpG07{g!?3etu56AUJ6^g@!)d(7EO9RhX~aa7Y_oD}CQ^
z4UTw2VRi^^s%*QI2{YeT`=JLL9?5mO1+O3f?rH+J_TTKh4a+>)tbP~{mG-T<18<<O
zuQi9+=smga!@pj2L>z<va+z+ZfbUlYu3N#1BL`X^!%lKZS;t}DBKh)WIH7eP=NXti
zPKvc1HVV_3vVjvAc>i?3M=BO=9AO0`PMf!IPwS$LJv<jqqt^>p#N8@#gOj#Vm3)8~
z{@wI-f#YcZB@e@SHrfkb@XqzWE0b`(wCa=duutCV=oBm|JgH26|Iql~x0m6e2QB?R
zF!P2@e!t-1DCU<@a1sU8hkr1=)9;%R@PLi<jm?^9&+<%f&W7V(D*d8|lVjW8Wx~Td
zY+f?M9(U>6OX0j<t}@)PZ_=0464*#6?;juRI4F6w5f(75IV%jO?4dZ(0LLx&8j8Y;
zl{r1+`q>vUb6*;6ak-H91hyI76($d>FqEdefq7mUe%b>IYXsPK!#&ZyuT<bYcI+el
zu-&Uf`Tg+I@57kMgz@eBn|ZY1tM`3HM_`)qp&$de`iAQA2e^-p+2If@H`n7f2~%yB
z={O26$tJ6h!*<j5Rc5fjHpx12|2U%(!C?*iH%>;7`-jQfr|UMb+5Uj_?=V})_!$RS
zOHJ<8H#n<H*w6`XKi+cSKUlC==e`GQbl;m}86J;)7wQFnzL8G78TT{O<=>Nm@ToJp
z?>EB9HhQmu;0sdyCUkI<fV+GI>}wj#PXia>_@ZFR8v1k=IMRA1C=Pz0RPIRbmja6W
z91>s}d5v){_<o5~M=H$EI8@F7zw;5y%7FKj{m2)CHI0n_<-xKP*UpQ;y_%IX1@QbG
z&acw2%Q8cG6-=Y2dPM?WzT<bZ2Cm6|MzIqvsOYt6fyMm$vPr(Mkgom<xFXDwTM_OG
z%Vm5A`=wad%EP)<Jiq$jLE~{*6<G4acl;v(-go;6?2(1JCIa5B!PE*l6{P;q>g!0O
z+mHHipR>^}nDLRyeHxg_c&=9x_BCx#6^CmWEEojgYwg>Qh{EPON3L_jFKTTA)!?w~
z_H}Z;?4CVMRDrV=Od`qoWK|zG*N6L7h6Ty*Vf9(n?Eri?(V=(^zZV0i?i(X`;X{${
zD$MS5YuXU58`$}G5vCl=KX??TG4Sjp<)L%n_o*ZB<C4`Qq`bJ4{uVtAzuW3QKLJzd
z98$M|wOfCClk!-Xb0EharfQSb9)S5q(`s#D$KHn>uZhFsxLshaKXYlX;G<3>vd(bg
zxq$62;C%D$Bu_Y|p?K~YTs5(^*d2ZmtLXI*KE_K!=L>(JIJ>_dUX(4|a{)H{a`A8x
zOkEt45kTyEXDg|H(&gV*_`%6x3I(M8Vf|6Zb_uSNvOJ#wUlF3*5e$zM%=}D(9b`wZ
zMZn@d46O<9=NO-cQ22bYL~jUe^<IDL6}T+QFfRyprA*ls1;5%qDDDj(%{Y4_4p!Ft
zy+ZC^+~0pbje+epa8Q!_XL;LWktFyftHN7y|8!oUR!e{fnV(va`*R3u=dD!O(_mPX
z+@BRE*lJQ>hkNHr4dHI1x13q9B7Jz^K{)z3w@e1i^oE6EKU@^>HX#q@JTCrvFKnO2
zbteaYA5v$g1g}p8yWEF+w+}4tgt-cygq6bD@lO7d@Wlle`j_yG@8t>sxI&{qs2#q)
z%CUzVrVo`Un}T;G|8!@9ldR2JCSl7R@he;4{FG`V3N5@3IKM|`T^9W*8~bhlA>O&|
zZS@Mg^}l5aM#O13lZ+Q(*|Y&xX87@~mG<B8f-~bS8F&|s?gkS7^Zs9y9PH^^7(n7`
zxjFZB;TxNOPAtJSy_q-lVClWbtp32u%@2j_;h{o>>m+Xa^f|pF{Ica5J&AuDewP{n
zzblp2CULfsxzH$hQ$<+QD(oumS)2t&-ZB<lhW|7qCuhTNT=KHlV9Cm4i!%7qP_xP}
z_%_9({pIlMlg!l{aQw6(8n^3U`h@gQa{SbhuJQG-Md9b)<owuNazEMz-`?^qWg~2&
zQ>f7a&%RP-q=WZ76U%)AudLP#QNy(wXRr3avM2r>V}U2xrsf9W?r~osa{d=}Mc)s>
zfBK(fa=~Z3@2X6~a*ey3IpEFK^TJcGfnMOmHn@7yD{2nLsLpaevi;>pp7StAiL9gu
z$!9gXxk(%M56#m_|Ihc$ySxRyD_cM-hIr4T5_%ChDR-kLi5q>V|0xQydF^iyg%eLv
zg=xdl4rk`K!kyNBF1m2~wk$^y-=8*{YzeQi8ob^P51h0QwuUoP!t}-Aiv#*p7vYtN
zoxvpD==63m2wtAG`;UBoKhKl8Som@7?L;A%*U3094nFpvk46f%zAq$o50=Un*-PT8
z9nBnNWc!;(9_)Yx6eDw9!fh01z6!!uw(h*z1s9FQ;E%)5K7MntasoDWM+X*6AG|B;
z6YRv5q$3S;FMJf;sDt)uu)IHsD>>h0-UL6THC-g%U(Dv$#|oESq=_ZR(_x_9%ntvl
zm)Il^&py2Pc?ayU_0~CZz3qQs+9M6u3pY%X>oGdw;qKkA`JT%aa&X<ARDLB`p)X5P
z8P0m^@JR=zS`lnffcv!!ULSyYwN=&CVK=7gorhr~<Nv5t;VXMGx0=A86c{dR!Ks#;
zFIm8sGoK$O?b$TdCFc`xD(8nb(*ESGv+g<#rwv|9IRI}uWc=VPEcG>)!5IFry@}@>
zoJeE*fwV_oxm0a(g)=M995sW*QUx5n;4@Nm0!QI%M%)^Hu!5)zs~sHJe>Eor-o*ZP
zl-v)mcjPNwf!|)^R=)<<v<jssz+oCS)K}rIlet@N!OVec7NmaY`k>%^8?NS$7iobd
z=+Bka!gK!~*^~BykwK%ueVEI8_y5}yfnV%?lK5W=&0qz@xlR_Rka+l!x(ZUCuMM5v
zUk583c$8uRe+)?-CGl<N71~e0JQACYnqX@AU0me(G<I5ewgzteQeuz>*LX0dk+@M*
zzH9?Ld5V8G`94=ZzO#++lP>OY5?AGCJTL<L&GUtjcxOUXz(;uBJ`t%$@Q+n*YYIH?
zA4=wFC-Gkgz9mw^s%`Q<B%aCh-kZE%b2j8=CHu?1-?&&DW;I{xZG;0B)!6pKv#hT@
z$^OkSR3FfWr;Pt@Bj4}WbYq7-9HG(mki;!(=xrQf<x@0HB>w#6?EV<oIr!x!^8F&&
zXMAGeKfjw>AHui7bjL`4l7oq#Z8iMkU?W=*Onb4DnSB3O_2i%Ja0!KX8Hqm{qmt@`
zMP6L=Xn;GNr*C|M>%w{HtKfu<mL24MO7DY+1`?0#*-=K`ckH{vZcgIu2Xe;9`;aY_
zGTim>6CZy=^1fpG`>L7>_~+=?5HVQj?^|DTKJr9czL56|&rcp=D~G$o6}M@@tXb##
z$nk1T&|a~G1$K^~FN19qgBq>jXL0nq$^Mq!GZrKLhg(mce{&D6|MBER0KB~?Ke-ZK
z2upgN4BzQnlP!V2KHl&v1!i&Hy-2=~*Z$2}(tmxYAUv)Z-ki2KmGn<XnLafp<w?zq
zo`UqJ(mmficL!z*3fSERyTu>8Ukclq>gG(r%}U`0g|L`=WzT1L+}m34E_`Jw?)fiR
z)+*sq9-PVa>*p$5Wq2-y<bTt9_k|AQ9lo4Tk<W&WL)EvD@jNeCJ*o2H)BtWKGTvs`
zFS#HC)@lyXBI9u$wEv6Gg1?U9Z@A%k?`={y;C)7K=A~dCuAda?a87sWm^$pfks&(?
zRxxB`-v@IX3y8T6|5vtlO%E22x+;1N-eYRnd=TCc`Q|gp|H3CGWeXqv)*pTq-dr1Q
zV-M#SRGo~6BLYsD_`(qemH$P-!vc-rWIPCKRop9*?|vuMCk75ki*OEy|5+{+$HLbQ
zmySikgPNm)De!{dr-fj6({@F(RJd*Iaa$NXCdHyh#-}70-n9*c_i;G{lJO~V_7SS&
zexyFV-}NC}!RXlU3wM1?$!UUL4{DW>{3Q?1q*w61r`ryC!DW6=pTC9!HCFk_{cTG}
zRvj5HBX0Yu(F2|v{rY7BjuKQWIuF;}9X$IL-VjftP41r}pG8y2cpDYEPdx7Md^5$B
zb$Fn*q}BnxM1QDp1I8zodUNGD!I$||chkW14uk4v;Pm(~M><&OQze@{JicIkVk;cS
z=2~tIb6hC6wjFNod7p6#wtkVcSsebNAE$I2W^jL}ED1NX*)mv>?T=UPP=&iLvfMoe
z-(^~|R)?+Bf>O+3<)X2E9hg%|RNfd4h}=%A2Z!8>=Q{%53uOp5hCht%dT<av9i?A)
z1pZpKDc%U?dMZ|Y7Uq%3lO*-khj*uj?BGW!G#vUQpWXPF8yt2ruR;^PZX6ly0soRb
zA5H4JC04tDP}o<7LRbTqvAS7$8LldO`<vu1kNIX_hll1*+)#lPl<&U10aKSh4ON3%
zvu+w>!{ti4TX(}QeC@%xu;2r>AA8^>i6W0m_+(H*ygZy%`!2s4zEoyoPx7xvRHr<L
zRV#Wn$iTb#Ken~PbjkVeNq%wpqlWjeau1`IB&>J*^V}d@ZujvZ$yY0RF**xtPH0bw
z!mmz$WBCRj7v*Ro`TE|Sl<Tni*m(;f_>J<S(guv5UhLJD6@%X~yp~{rdAe?PY=;kz
zEm^X`_MR@eB!ANPjgbiatgv2<4>q(|3KfHMS7TZEVZZX%7xut{Zg0!D;I3QW3svCQ
z3xyFRKk-3VngNLmP4ctD-PN-%55as*A`?9DRpnYm2RJ^*BAB#q%q4rAoL~<}`D2`L
zN^{xC0QhaR<#$F{>q&duML0zFb|v{dgAGZ)$awoJ>CX=_z!5)6q|)Fq;e25h_&9as
zwqm%d=HX)+*q!E<NeRrHN*l%mFKw}HY=O;Aa&M)E<JSV_U%<jet4nn7)&$eBeweO!
zLp*7ZB_}(w4Z_BSlXfKk>-4_Ov+&D_@qZiOJ-<wq=isOXm1kREVKdHx&6uwsen!Un
zAKH80PD=Ds!5;)Tc2goQBlE9~8=if&;q@QHyEK{p@WO}xol2rWyyWB?``xh7M@{Kf
z#Gjx2cvA^(k-9TaK5rs5o081ONZuP1^9%O7UaDjYxAwT6UV|5MLM6!jk2XQIKg+O5
z$u&!Rcp<6i5&67|%!92V@HIA<<3HfYjAOq;;i2pi-run49VWXB_=jm~?IN6&&Xbk}
zKWt36wgMN9&0Z;k+wN(K&%?FjOO565>~qz1lK*11rK}kqUYNW&3#b0>7<&f07TZ`Z
zz#APd8xF(Qw)|b0fpwgtLq=ioi9cO)@S6p5&+jmGP_p9`+(~h=U=d!VO5XbgzF;VM
zV<YDCTpke^9ET;&?P%WwKj0CpAo+_vzZ*E<&pV0@Mq$hRUvpgWX|B71q&;rv*)}Qx
z3)x9DeSn=yp0h~7LmPHnC;1Vo*D2NEZ83Q=@8P4D<CXTpEd2$WhT!~nRuabWi*&Y}
zUU>TsbIT*}f7uyl2I1NW+SYThLdw5CZ{eiwjlW&t(1I<!eejc<*R#Pe^*dX)Zur2@
z7u!PNCu@sx?_fP<|10Tmrj5=^@;o7K<<^)9FTFVHPvZ8A6giJzX5%8(SMXWxpKqVQ
zUQZA7^}q%n3)BbUTNgt;I^n|AG>;+pX>Zzr*YN1$Q)lMjk@k+UHn{)uk(7D(tBq#?
z`MeCbwRI}YKO2rn(`bd~uYTJ}3tKDcY#{qXC!Lxl3~z}$o$(y5*NA#83M<|#(kJmm
z1;%PU_?Sf91c_S+tWO<;9p?&z$ngeooze1!Ga?H($@h!49`W&o_fe*L^~0Rf+UgHs
zzw`hGvcI%P_IQx_dDlZc&BtKv@1O5eW4_<>EqfLQV4w42<FxSS<rAW${M<dHlW_`u
zV!Po9dEVN_ruFI!Z18uS`ahU1;~xEeSl7xWpOjz0$7TB};LwJLbL9FGr1~#p4Sq%?
z9!0J%nwYi9b$GLM>A`jQUZCw(Zp?SA{;OZH8P_Yd&dDzvu=GTrFdKa7$FR~7n9oS+
zDlaTh+Cgaym*zg`lY*J9RB2_x4<Cl9E5NO1t}~^>RUUV;wBW^-xV~XHMK+q!0Jbf(
z&Hn)JaQKvS6#ha*x4sGUJu~n2Y_Wu=3I|?pgq^*e3+&*gr|x1h@HKUNTJk)_zjgPI
z9q?%zyX&NVap$^An>Czp%v{<NE-bjWdJ2B799nx3_7~~zPKGJeYz}+FNuyjF$^6p7
zIMsh7UaULtsSd8Hq`gVvWkWpN4Y2Fa75yMszNT;W1I(#WKThHjVqCH#aQe#5hyHNf
z8!!HO_}_&&Q_`N<XHspt0J|{FPzJzf1kWk5Vm|J+`zcu@z9sms6FW?k%<1C;zbT+R
zN#^?=bZTTE?Hx&m{c+;(_+O1_l7HoAMu;+;OE(lk+DB>b{gtY4a#+4LIo?FMVZLLq
zU*qm!(jIcl<TN&i>og4FNc^1hi=F=Pk(=G3&aiUjKRYtNIg;^5KZ&1NysMW5A07|f
zOOEF+y(@bL9H`g1gS79oJlNy%;ZUz*$)vr=G5PjHE-amPH-xk|<A(fuiecBSyQfKe
zG`(nN&K-C;@yp|QSV=1=@d4Z(=r5KE>s*qvu7&S+4zS*Y&k6SSJ%Xzloda{=dv#&?
zjd0({?xO{8`t29jyI`ltj)x`i+Y<NFFUj_libdr4;O2jfgFUeGrcTBh`1i5u!Z+|?
zO|?Jdd2LL|bo(GIm(g>UJTE$aTb%8O>#pk=KY?BC6Kp@iwFk!PT465l9r7da^xqQ&
z?Xbe-*5WC61MM>H8<^sYmCqzhduM5~7jC|v<gg6qa3&cJ!LCt43QKV49}eXan0jyH
zy;WHJMQzR}_>G&M|1Y@3ao@FRIHYlOfy}4(zdH8g8*HuZ@Ms<J-dXpt?=Y|Unj#hA
z*Bw~&f5I$Omo{#O<;_$C|G?k;ihgjwg0_(hG`gsNk7r+Ff&113N9f?3b-B&F@Xhdc
z9X1l5zWtU9-a6#GlLO8bQZx{N`yaBTZ-x8M7IKpH0Cv535V;*L-Mu?O4CYRtHj{zl
zZ&OJK!PRbc`{iId(UjaBa8SS&mc4LYi@6HPKPlMscOTrhG*&4K&jirDIt*(yCmWD_
z+OO>mCh(tIye+%nEf!4+4)9UGEfUgjS60M`6Rf^9Hg`9CM)Gy3A3XPhO+_B|P|isY
zfGv4aE0y5^ere@2xV6o9LJl5gq!mqv$5xk5lK6$+(JgiGGDT`EiCeXMRn)`T?97`;
z+@yBma6cU2eSSBIv)T=-4Zvv*pG(Pl3D-^4KditO{4^uvc(#pexBZ0QE(Ds9xYe5!
zdyWHW?`^b>B=NkxC8k{Pq3V}^m0+#CHZd}=fymV}WdApWh4{+BcQcm<$@do=moC$V
zcO@lgkn_>!VUeK+OT7NCmaN}U|Kp0XJv_azXKE)LHTzW55q`&zX-(n>llqr^V7EiU
zD~j-mBU}@H@F}hcx4rNmN9E8PFw25%7Kx`)MZ2ZJz3I*DB;LiFPFD*vbe+~F@lWY1
zzv|$N#~K<n;F02AsqbK$F`ilSd)QIgM)bp{_1w>rxY@@%aUMOK|MAHfN!WASR#h(e
zbxs<KAT0P{nOY3)`ruYf)|YUvJ;x^kADt4CXNPHn-d>i1ClAK_A>}vrpY9DwcxS`j
za2nX<pF`(9IFZk0imXRr!0~QG17?20;YO}6mK{;0hhPue=am1!#v}8O4dC-fgJa2h
z6z$%-teoH*N|p7W;78?&?hbH*mYXJ7pTc>UkcJQJ7q-;@9-gBOGWLR32Fq<;!-DRb
zkumTlBb(-S*n2QJEgJ3`+@{|QFZd2^tbymIc<HL)pU1XwRKX{0J|>sI4Qem(M}wq&
zrul@dPobJm@%$CMzL#1r9Ucu>T%*=Ue<IEHoM<?5FDnxjtaoBg>=Nv@ZO;e?EX~v1
z6bS2w9{tV+f2+Nva{)g7&0Ay#{P?SRp$q(ZGDb-Prg$VFV+%)3B)jZ|t7e|XS;4ce
zxxwnN-+U?usXwUyCRUlk>ddUZM(`=VwC5&plEKVh9k?PQR_Zv+;8feL1$VZl8Xtp|
zh0hM`gdaJE*IB~HOk@h=;L)bM_vG^hzFG(rqduH_I_0SdyJ&`(mB44Cf*WMuom~~)
zS72j`E>kgh*R$7mufo;+!_?&X6jbtlD#E@i9v-|f-I3U53h=`Mu{-Q=WYF*lUij6*
zefq6%Y3vITZg}e}7i~`Xau0jcI@%j~`d{vDgEtPYMXkYKZ%Q=r!8>}MGA_d^597Y?
zgiW?NczlB$b6!x$!-WPiKR=P}1q-{$`8&Sn<Fzq(v~XaI93O9G5&HnFO2^866qc3d
z@p%i!i|iFU0!w_DTx*B*rE;&4^B2`z*47HY{`NB492V;JH+~G4y$W}+hkN8Gry5{S
zxsqU8cryOAYb6{fYi@7>u4z29u?)T?=Wpc+?{?(9dK+Fd;*z`sYuH`o&xM`lcdG@%
zyR1$WrNK|KOy6a|;Xj#r;^E$Q`{|qTb-IZYQE&;L)ulRE<>2XvU^t`KE~y6g3{a%^
zfpsJwS<S$icGRi%@RD(r`!t;GG`Y<hwx5aUWj%=YY|X7<(mtfW;ylF+pS~Szrw3O&
zt>O}g3#Uq2G~xR{6C_1pb=o*XWjJtm)rtb#w5T(t0LRnDQtg7joRx5rf)7R)tLVcf
z143;g@a&HO!vpYoFtzbkxZWbT(g<d>HRIuhW!#Ng3}HJrwLBL1C;K7Eqi|zjqze<Q
z)5oiJ1b+0z<;ND7<q3P<aoCc-`q3s>RdS-r9NzdNU6-_<8O+~v+rWz^qfDzX_ql={
zR`9-<7io*|%HZ`xTR4P?>g;z|n?|bU6uh;y@BAoyzlx355ze&YP#=c>do?O$4}bfx
z*3t|6KYW(t3O`F%iGK^1U%FOs4z3Fl<m`Zr%Ux(Lz|*#tW34d#{&i`0xWhwgp%%6*
z=}Y#3wH<9AR>L3ubE-QJcPT2o%!faxD{l>e(>0t^a$%Xgu6-o`MYr<p1ehiyr7#Ho
zIPK~l2k(*n?}IO#z%RVT8%|ZL)(n9c<;>rlhmGHSjVAG}S_|KeVam;!--6+iUBVBI
zV7`)x-6U>YUOy-Wn{A26AaVN8uLY9up|Fi_{9uEnn`&gelR(CF#Y?bZ<IBxtJ(TEu
z?s_DDk*hpzGc3=%p)3Nnrx~@NgkJ{SeG>|YP!~Ba;d!b#LP6;YY(o2P=K^f{h)O>S
zZZ55F_zb_Hiz|zR8Q)KYPr(uMr=G+TkG9c`z;U5tBG=&|`R{!nU}uIZr6kxX>z#EE
zd}wnqMJ}At%d<q*V^LJ_VatZ|V>bl8fb$J)MoVFy8_JAN;k&%z3ng$`x<G0@EI8>d
z@D$#!W4T-j>lw)JdIC!Z>jvG0Z=HSGHVnTWJ$pMBUO(<X_yK0$Z6bXW{+lg-`wQHr
zY|wliexfv4`x(CeL0LZ*u5MA``wmZt?qrRDhc|zf{syZ{3uJ`Cf&J>q%dkQ&hg}HF
z&@xxB1oP5up7ViEzE`1Hg&T@~)_TEK?lZi<U|GM<8ZIQ>Dj)g}4p4tj<qQ|CT`Twl
z(+ED`Iu83JyrQNw!2H1fZjYP69$`DANq+0Ch(#TEo3U-u7Q|0Scs6Rmx`$W_Ho<9u
zr?pk#N7lO3^zi4HgAB^B>*-u6YWPp1<Ti15sI)7Q3I1=0`LhV@SQU`Z0C#gycx;7B
zweqMq;ONs+%DnKir9(Vy@YII>W)^s?)gy!#w!HA*Dia(n$eYLw@AWHYCH(^tD#|PT
zus2Ke@Fw`l-tjHl;SYiSc5CQQ$j(@G5rz9Tj>)dV7Yy=)h2f`k2kI8#+x;DSyI^jS
z<%8c~D+#v~@^H}J&u>4$!L^y+jNnZ?yuV5R#mlta{|w;~W9G14_^W1Gbq74f#)o+$
z=pWQsf8GW^krQwu>&y7qyom3IOHYe$$b;iHN#wqRMLJ}z+=L(g*}Qoe=Dk;XBo+R6
z$dU5{v48bo987&h^Wr#hxLiRjtQnDe?IWC9qa+m$J5l;9PQxWL<;$f1=0QpC#woZy
z<Ux=>Jn2^8I0wHQk~!cD8#QkTn1!AC6}#PFDZU$8zu{-XJZGFqoO%A}Pk8a1(3jIN
zWpP#gI=tI5p~?m})~9{B27lj@u4)c*h`f~DWQhBL0Oh7*aJ+{A)(FLT7kP$jhVZ$B
zq1!Ytg_pP4LHLk-blYZldEkn@GCUWnD$M{FO3%wG!6(NPH0WT9%fISm;O$|1^I2i3
ze<wpp|JZNEndgk~`ge~+UO1g4L6Q?@4S92d8{QJ3a){(Vl%H~@g0E)|RPey`Z?qLQ
z!)cx2y&Q0)&T;K!^ydli^C@qG`BrM^m*Cz+epfD-Gpy(K0KA*K^v!mdN=nwfAHGM+
z#!2GJ>qp{i;NeF}fh3+8Q)W>GA8Vs(Ci`RA(&d*3N8j-mA#o{riT&|#>$dE2vj4?O
zW?^K#nt#+QY$Tsuw8ns}XQOCgBgzgJS=aaMgDJgfpVGrJ(Z^}D;4#M2S4jDAR$m>k
zM}O~C5&Jn(K5FvM=i9=pySjFf`0}*gGqPSvq)$sKiJz8z61xw!4omMGf<+W=36uWx
z(A7w}Nx0dI?HgGi<xAUBQ&PS@(X6eJ^-->d+^Hkw>$#<8D_I{!bymCm6Kv37cbFPx
zofeiR<tt35pKA-e`|lGCQoasxcINy=|G)m;%)CYT<3knaKk(QFrRwkSj|JI9vR;bw
z$?-r^zSO%nM$E$_&3@NN`HC|6O*ai&4C*aV;`p^=Z2Bf)<FCUMq<r;xm{||Oec92+
zW#O!37mjW?R*C+cG^}Coc<Tks_A+Xx8hriGUpcaV%FJdeZ57ztW%WTlT>r?MRv&&W
z5pGZeH{Dv`I{=Sd59_%H4+b2WJO)dN|FtWEx30G@o5Jy<YjfoNOU(M#rZe!ep39{S
zm{&aU)hRgB(3L6~9yWZR;tq?)zDkdSJGl?safMljUJH`-Os39+x?O~a7KCfa`yj2}
z*^mI33B5`FaJ?q?fh(|JfP1$WoNOLq5e45m<7MswJI!Qozd`av%4QtkH~Aanufx5^
zt37StIE&cp8L)pur-~K)@zK}YH{q~tJx`Cq8~&}h6u~7lzmJmlUB78egA3t*^BaZ_
zz%d@iIyG=rC9k^{tju3zRs~y33je194`~QAG{7=U(ogolvFW}qAHZydih6Qz(tYcs
zR=6!meQ*cNR9>F{9A5L%J0k?A&BQqO!p?j4|JVjE#k~)F3(wmdUF3kXIQNYXz<ZK)
zb=Y8Lr`YfP@T!Pu7cH!G#JFw>u3=TN*#hV3rL|4M9g7F1|Kk0lQ1Oo)Ut!H^#qvLJ
zm4T}I7dY)d?LB0Dl#Yd@oCUadTyDc69I@|x#XRg1v-b*FA4N%O2m61pSGM>OvObD{
zn7imQe6U1mkgRv$Y0-4$56tsrYyJ=%x4xeK8<smEy@RZmvO^{DH1#1oueg41B<n9+
zi0nSU1x}RMpwkLJi)ZO$fS;`m(?5p|q7P5g!H(PJQyO8t{%Z%>U^l*YYqH)0=f(Du
zEU;<r;8X?Ko@wJ_Zg^*V#r^y6&}sG8obZv#XG(Wqb+z-mw!`$4Y5xk~+sY-{Tj6si
zccU}m$Hzb15r!$d0!`B4OQ#Gw_+guSIj66{wvWA}#o>8n56LL_Y1=&wQTX%Au*zWA
z)%A6*G;DSGaNtE)OlV8h4mi>O%tkLblU|f#7yRXfRHrBW!2P6{JZxFB_ox&6C)+z_
z51jjC^HvA=Vp(y9BCHd_bK4qD5q|tv9rmvtakYdmjV>^%!500C%cihL2E_#}I8d?r
zkqO*Ep%AVKCpER{>XYp$_f6};MY>Up2jDYY9zS*AAM%;08Zg5t-;+l0-%0aRYOpDP
zp^G6Lrr`Q{7d%;7)NKk!GK*Ho!?$_*KAOO)&sCKrU}J{Yg{NR~_JR&!xP$*!oi)6J
z{oxTlcslYsk3Gy9?aa#q&+2eV*}?{2L-U#8)diaPbFk7C85c6XA<jxZ#|h3i(fzR*
zPCmSSqbGcW>w6<5T<@UG<__=Cq0%Air_^Ul`})AU6z|jjhJ9^KqP<|s*4C5-SiF?W
z=rT;VmriUB?%~{H6ADZ6iQb=tqr^F$M#D<^&wR(>_j?t3BH`%C;q?LdpYo@)6u32-
zG4UO2{@>r?WZ0Qw2R9k-vBZ(@o(I2AI((PR4?G?4;8G6!+{I-lnQwSwC4Axz%(L?A
zcN6@0^UWW(VO0gr%Qf(ye$j?%c*n3f8yR16EKc!dC7k7OAhQTQJMo`%1H3QlrEMX6
zS$Ff^2k=MlFJH6Z(Doq8RyfRHCg>*o<!u!EbJ!=6dUGQD@t?Y1Cmf^}{wfaMR;PQV
z1HSd4z$_A8oxNi;0B;{jm?rb_()I4y^ussWE8WR_*2u%=Pe)*O4&gn%F!k{hJwxzA
zJKZO4uyEnO-IK8IP<1p}A0xq%;=nkpo6yf>3y;j_7tg?Z<+TP*!%C(F4b#N>_NR}-
zO;Va$=V3p#ZV57fcZ>QynK?K=VX?vp?y!8H@B`+Lv<M*UW6<*S<u1a$_7^F%VTMai
zl)qus$k7f>SpSP1`%k#OW231uoN(iZ?>gMVX3MJtcb3jaufZ3ZqVr`)d~|~moe}o;
z^Iio>I3Vk%H4UsiY}Y6NuL@plW`<cFHHL48m#%rfWrS5ZC+Ilg7stOVaKcuCO7Ga<
zZqG>_cKF_?l@%TQ^RjgjA1uaxUxWtc)HkW;fpZo6N;kmixi5GHVecElKI>%s6zc;i
zewdxl@b3y4UsWj{F9z!rroQ+AGrr}@5rJtE9vhMQ=*Q~9DWu_aZ7R+$aLGnnVF}pP
z(gOcGkKae4Em97S7s{URgT>71Qf1&9Cau0?zG6mzm!&#9>|;RH0cRQ6xT?a63tkCi
zzGBv)2i^N&yTg?hWPbg-SGgbe!Q;|HA8X;mY%BZq;NV)0;%YcixXo4@F0XU0&xf7v
zvb7q(UykI5=E8o;YyJ9gj&~O|Szn-kla7iBd{}kk|K~4C?w2w+42wOLK0)R$vK@0T
zHG>aUo)RSE*UB`GJvs_&WL>>`85T=R=C_1D);&B=<})(L`pKVw7dKD;ChIBic2^{y
zhM5i7p83E>SyKvZV4d~725#`LU+tS6;4wF6Ru?#GwuI9T-W7Qx<1F0HHRSICoA5t6
zdm1jUYm9M*A7y-*CF@5d@A&-H6Fzf_vDyqC@NHdlhv)aIsTsj%c7C(*g?VMIDGg!f
zfs)V*u-VQBY-BwPqu!2*09Z}o{m>q`QKtBZAN<*Tlbsw~;_=Mv5^NJLC@lj=`sFwT
z!y<IXHDvyx)P~yj2w3*4bC3|cb-Vj)DBM%~{2B{<^Yg_+SKwU!kz-`OV$EL*>nQlr
zSK5&+@Cw73CvotnO9KC&ujsGOJstyBSO(Spz<9<x={(v=@WjT%;6=Fq##=j*pP&6T
zZVaZB=xj}aZy*0_HVS{53ZF@YjcWeK(S65r_5E=G4=LFtdnT2U5+NgzNVX^=N@SBQ
zGAq8>BV^CeFhfR0NhL(eO4&-8S;_W$-QS<j$NT-c_kQlZ?{m(*&iOE~Y=gO~-BlA|
z?mO1UTH(r5$L)#y^3+DTmoTjcYkLZ8=<|736?{Fi^G^c&QU56OWBBLT3!MyDRrS<R
z4!k<<<Vxfx{(SI<SWj5xtJa+j&rhaS#=tRWcmGR=8I}Jv5$gxj*uEL$!75j`qloo`
z3Rw?t6ZvvphMC0r!N)JJ_dkWTa;{ku>j&A$xVLg)I{#`<BY4_m^jaajtFBJo02Z^(
zyhG%N>ND${hy8aNkCnjYPgq%%;LHv-aw7jJsjC37p3uFh-Lf3Ev2>j$)}wT#6y7R@
zeZ@1qi1i^|uZ{bv;jP9rg(I-|GuHJNFj?L|9VWP!zQMQ-zIlF;bw4~vo#9XeUp3;%
zCf46nzEt@1297w)YD=sax!tfaR}U*kyWU>Gd|I042^ZhP4vw~GiS<5hHE!l_VbS*q
zEyQ}D+y%;at?+@4um@Ab{M-ET?q>LBXf@jytRmnk`5DfB^=xz)j*Gge@(H#a{A&9Z
zK5k`8H3;(!KVR#Fd)?(Z`r&<QBX?V2{ZH?G$6z*=X4Pi6J1iw~1m68?<;!dMG+Ua^
z9PG&Y%B&VX;qPEJ3x}PYn=FGl%YQfih3AvnOP|Ak-&b}m!j!B#WS+wEipM0@VV$Sn
zNs09$+hiNctFT2lO;|dd-hJ>GmnP1~r-LrBF!}KxavZQgrQsSeA35`15s47|=KEO4
ze{kEArMaW9<G})wC|K^-9S>Fbzv(C*BHnA-ZJ`d6(CH;c!p8%bL(Jfj3B5n};a{)y
zyl%jHpBSy8;m6brvaaxFG5zH*Sbn#ckUQ-0mhomBES>u`+y{<cC>AHyOZplp`uM?l
zOb&&_dY0HgvNI8IsBN6=L%9C0`>`mvNlL4n_<o=7^+Y{{Bd_&)r^3aB8vcp!i8t|!
zIk103@o)z0c$TXs8{Y3E)R6`Io$3+Ihj~bfF1>=A#6D>g@x29-N)52o&U+u8!6Ph}
zo|9?e`9X)imDs=EnUV$)n7QDFF7f@vOH~5t;a>aQqam=&-HbR|_~3pM+dHrnhmbxe
zyjHTX;saO5`&zNXuW~NjA=cL%@2LC03x9tVrQ!lBuF&@Jz|WX}b=biCDuF4-Vd-Bs
z*DT;R*3bFEaA4S*U&gTf@m)0HFq!;zkr5nRtive=Ur{lTya+qJC>c_KKdOFsrvaM}
z{rhtU&dA`^RDy>-9nd)sC(T@9RD|z7vAV7Vd*zj+5%cX$hQr^e!|%99ZV>bJ%dI|t
zQH7t&%FYn;`4`9M#V*3SBR1v2Fd3)#Ic-?o?49f(IB(f@*ERU45_2mL9NzPk$plW@
z=cda7{}p+4>jpfcoyf)nXTI9FZw8y){hLh#dtaxSuz`0?GucwX^XV5>t>EZ8ZVROF
zSlzW64>)eN@c-*mv~m+#-Qc7S>OIR?uVT-ecGL$Z>Ei2HgiEVBWpBf@Y=H(-u$pgI
z+8uaUC5d|ic6hU=$RA!_Sb01QhqjZ`-G?PLs2m63h&NK)L9oFUyMNuVDAS36aF}A`
zc6}$zUTq#73ZK;duG|W%>0O?Wf%SL(rfG(`^6ryF!}q_bJbVog1iPChzy~TXn$*LY
zA-OK`u<?A^&lm7wS!8D_?6mr_pbUO$UN@Eu7bS3r=fiQ`S?99hGp#%uPhiE9pY$@}
zptie#nQ-e&(Tm4${Lw(Qbokc#w|BX4|AX<)csOI@#o<EOk@IJAEUaEVERhet`gQ(b
z7|cdmnNSM%q$y4Y!yg@nAD6&~Kjygvz)D-sDXQS6!VD=tn1uBkO9jj!Pxi(g=AX~=
zs)NsKtOmQnOE23(YT$H5lf8Cu+qd}1H?Xdc_E&4TK(}V?HT=A%+|(47sqwq=0sbeQ
zd*muCI+ktsp2%O_Q*sIRdvN_@8+<(EpNB3SZ4=nv3J2#KZ>z%p9xbPRgQF~tMJU4=
zhZu{#!e(7@jB;>&$p_kD_`#NEzYOvDk)K?HMEvv64KdiWJkI|oEOMkl=mg=olBhA5
z^eTTjKYWadOlJY!lQW{g2mj1uyFLf&9#L&!hpV*e8~(u$n0aGZ;rx)U&wt_mtx(pz
zuu3C+>`raGul73em>Q;h!uyC6PAN<|z7xJ6{Oc_X9L>COZ&MicSvB9q1gi&FQ~!mf
zztcZF1Z$t3Nt%PL_cG@lgd-P>cz?q-Ur+KYz}Dh2r-$G_B_gNJzycHn?|R^;tObUb
z;2jmktR3*qq)Z!K_){Hkb`yN@RZ3ettar#htqd0X=rIrr$8?V$%7_2n=|7zU2RPbI
zKY>-eb{<QEi+lc<KZmaxJuH3+8=UU*CE|umA2Vv<1Yg6yC2;Apxz}IdkFn`0&tUc=
zC!Tk~sqyTuOJR-bdFL@Wx_wB!2wtC;GW!YtciZS~1)Ng5%DY75|Dn+#@}r+$U|5Fp
zmHzwi680^p=-R1+@$oYMB_hAx!u0Jfc;~<LkM;2POs*hCSnr33A(8JKO<7I{leK(V
z$b{1wuI^`sUk<TUr^9K1PsA8t%CciE5ky>VDV7bsJ>U`@1_uY8DPw{Y9D}oN!*)^k
z7`Wh9MJ-mIuyXV#Q6fKQd&tuYW*?%8JphO5@|>}Nrym=Xa>6If#kKX|H_{RN4#B;x
zu1pu<$kuNsh<vH!;3EpKd-m=J{O}{@cQbOZ!uqA>d~jV(-<B|}!sNa8C_E{#|D6!b
zD%m1J<d@&&?_q<rAO4Cy4nGyRp2`9X`b(Aw!JH@E3wOg=yc+ak@Zg_(S8_O{GwnE$
zzf$!oaOo)Cf7IkhNx(rNOR5X7+R4o#QCNO2h4BdNXi7#W4QDM&^A5ozkMp@s!Cd`s
zpY_0I?1g@3;DVVYr!Kgvb|Xy&{<BVTw-JtVU*0?m>+(vfG{BTY%A7?0!9S{oC9rk>
zDPLvyy5KGDB3L<PIQ$%JElTnv7ydWgHmwE^CJEkr1h2YqP^-X)XXN}Jz!x@2?6qJ|
z8%w2VI7nY7jL28;zJ1vrzIXWe)J52XI+Mc}{%F#(rVTGh2<E!MC*6yU3}BljbvqZB
zZ)L+v4~`1I?sFZ!sMp?i1)jNj_v|%zE5mKV5RUsu-Fg|$KBsWuI(({CFh&oynG3fz
zf%7NMWGlkceL5d*z;c^ctQBBN>3_XuFlEvB+$ngUeWj!={Cj4*LIQ4=C(*Zr(;qN?
zI0S#Jtgdi?U49*nJP11+z53n`zVf}2i5=dU+I!d)4lw@M&jPni7%Dl!Hupzob`$xt
z<hdSj2<P82a`;j1-%cl3_hh`rv=G|6sfS{o@V*au43qG+(Xoqe@KMVezCO6e!MD^K
zo}g`=?15X4wtl_^tJ@8&zk~nVG(O=E(+bQqG{WnF`PxK&l_E)JDNLOrUUC=qVWLSY
zfp<>@e)5CO|L{D^fPIvAAO8<N)+^|g29sRV*Cg_FZ_3>XhbOl`7lyz`?3B-k!kfdq
zZ9%Z#YeNGs*t#kHXasEb<r>#5IHB{wmHTkull4jy_`=58%Sd=%)egTa@C)s&iC~y3
zEt&Z&++K6#LNsjrEPdb%>|kKw844?=OWZmPQ|+qije(Col{(D_f0}IC6%G&Of9j!x
z_kO3djD>y5Kc`Z_@=7j2QLtq4P~ks8)Q@-RkB9JV<&f)Nc&ym}AQ4xaUWxC7TMw1q
zCE}`cD_1_lFGstc6UVd874o+d&P~~%PlOA3f@@yDU$2g65%KE`$pf+QH~saZ1lVXj
z@lg!?=+*H-;&^kb4xaXeXV&FTC&4=D2gp3&`}tn>#PO2ZK1(%*rG@-jlVMYh$7V*b
zO8;F-BJOTk9C!+jPxZ1P;w&NssuFOTcf^wiuylH{{eHO0$744U=hiF`-3R-JBq<Yd
zk-hnPa{_4JTitSr{cAsd%r*=EB7gjYI6jG2S+XBti4ZqMA|54^PTB%z?iq6-_OGy?
zIkg04{+#=n*uHw?KC>eDb;2KdBHnFA9vBY4&&+Wo;;fB3R72q_ahpZN{+Xs{?X2O0
zLpd}=JVJExge7dVO|3!1hl)FO&%ylRdHKZt!}{A<&%$G0Ij4x@V<;+<;elHpKfOT2
zr(PG4aKQ~cA|XUPbUgCl20!{+(V}0(^@$h?nOKF_dK8ZkaV|p(s;}@z!SWy?u71k&
zb2ofmk%p1DKQq7HN(+H2+e}@F`%{Admic|ya_h(<Q6I$yTX~9b)|=}(M1AZRA#qTE
z?-cufChEDu_GZcE5zH4UN;^*EziW2$Sci97e{dw?dt-SM`{1X~zP0(n++X>x_QGz#
zWLrf2*11{#tAlUsr7|Y!*S6B3t_D8c%I`ze?+eni?a$zvRQ_*7Jti9|#XW&NrVS{G
z?X_gw6^?@4cWPP(!Ww@A7sKI?Nr8#P@mxOtI@}euTe-PR)T?)L!$oIUw=@560Ia;a
zHl+_g_Y4ap&Ig6+`twWhyF;0AM7~#=xwHmM!Q{O_)Y~EU>pRroBW{tTVKC{J=HRpN
zrQ#c=#PxjWgZ0C3Q$T0{aXzJwKD>4uUhY05n+8YD-J24G_0Ef{r@*D3XIyz<BlFFt
z*)R*)uoMscHHhkECj9uk>KkU*<PYtMdN|W~zK<3@UAIr67JgHA)od5MA-QXk{36~@
zTnOZtJB;-cc{8hIaGBIv&M(;HvzOBWI3T{aW)L2lx*Wg_hh%G?>wz=x)yVt9Yj@~0
zs$oePS8ZST?AO@t5?D^bchg!I&s*md{cK=vpB`!}_yzxuUDshs3pd$Vm_=wLM;8_q
z6&8+%C%#B?7{iB$GmIPH_<aS{n(zy2dyPhT`1Q7kK74W8-dA1^$8+bd!U@>Q%pn{<
zUGUmgMXrS(u58`!?gjIdmd!H3>wR1IZoyZjJ#Nv$Uk7<hAHg*YlKV*D+2oDaS@2-k
zR`SXrJP)XSo^6Bm9>|GL!J99VH(O!fHOl%?Sdrb@fbSB{9~aqt6MW=2ofR+aINj&<
z3TE}N{B{P8N-z(tfG4HNCQie90#7p(!8Ge@Rc5e_Z1S&cSkWo8$rN@F@pMXtQykj|
zJYcDhLA9~);KR$)ZgAIM3#Bl4>}5;tJ^1Cxt8M?mD{-3Tci_oqXD<7}v@B$MLtqVd
zNj4w&S#A*beVE}d%Oh8KJ7Vl>JluS1OVAO%-+uj9EPN<^q|6ew6Wla>4%^?q*JuL2
z;c&JthCM#os9%C#)~NcugYUL)C1}Fwrj_B1uq6HsiZVR%*fYBij`J|FKLa~%50v!6
zJC3OQm4J6`t=WvjCtbe#h{Amo#-2Z5MaL#`LD)sy{=_1DI9ns)5F916_uyan&zEaE
zkHLm5&*oV#WBhV&qK6kIxn(-W4pU?;YY4#t%{Nj7VWIVN-G_;|5O3sBSf)Ws{W!e-
zE@x5<)^wPo6NXd!E&Ijc%D1ckiNo2Alc!F@3~lkMV({Lm=YnV8ju&YSGH{dp%P|c&
z@a+c`N!Ya^xLXUhyVU-Q_`dAnG@|<Ot1Bk=PQ$4U!v_uFW#8*-O0bjkRKFD*66|tE
z0hT!QzTE~Mz38@b0XFPZ6LN+R>Mz%vhc{h>I9=ho(q&O?IJ;D`=MKzYJyWd)KiJLv
z;U3&mJ0+qAlX?i=c>u@m`ckO{%LTBy#=#d#+m0E)-{l@FRKvw7P21{lv*=T;N|@2F
zBlsLF)jrfS3BL{98afHbxV8WI4eO}T*c^q`Y^m3_U~BoNQsVmfzFpkC2_HTARfZE@
z60d$urH}U?CW>!Z;LGPy+xNibX_wUK;kToD_gP?x;<C?Futly|JQMs)w#kSLcC-kc
z=Y&rr%yW{!A^ld{>~KIZ`QsHn^!IX<Rf4e7u(t3LTw^o#jvp@LvaFbb-KdW9ion_&
z_q`_In^U_)j=>W3siY(Dm9HA%;&AEY%XfqDh&^Aj7_2zgq1gkI=UOgH!x?JRd%Iwc
zS(%+ua8EgDN-ON+>}4tsvz}qU+6*6Y)VL`JFHwp9dJQ+9{;x#|=6QGiSv^cWXYf@K
z&iZ>*tO8!xgIO8yivj25GPuj>>e&nMcjplQe0XP1M7lOS6r6PSDI7d+QlJSx33%R`
z3Gd1drnn5Jy|0f<hecfUne<=^-d^U1@Q$0lE?3|`4@bVm!aWPB0fz9_r8V;~cwNfA
z-xMBLB{>oT-*G)Pc@+-lU@r-PNq1dRwuEo|;db?dWtO=0Zop;kQXB3t`xnU)JNW)B
znOCkbjXO!b4SehRB^5hZCw)JgGpzbRkIDw#vD|;e5$+$l8D|O?*iPN^fQ!%A>0gC8
zZk5Kk!9#OF!<XQblC?A5aFxIRBVE{b<<7bnd_OMvs2aRTc3=MvY;`f_j|#lxrDov|
zceNCF%EJpCY7PIv^_7`2a&W^s?WaJvDYo{lI4qS;DHIOZ78l+ZgZq6yo(hG{|1{GJ
z!Jq9K<6>Yt>8ehCSbaxeb`)GV&}Ga6H%fVIJ%pR|UvqQ8Z1=>e<KgV915X%X7K($`
zsc`4+_jU}h&aM&nWLVW@Y>5*7*3<ks3yxN8uB3qfh5R>^0Y75-CBFlv%d?ev4DaG;
zA=^5LzhBZGzK{!->iiD>3%_wE&n<vOf<I_2!c`Aml|F;rIDdVegg2CuX-i>-dv8;I
z!yf50f<^GYKO{xH@T0Whpck;9!+=vaEZmnATLzCRZmi;`%H+2XTK{<obIy0ww!lIA
zc{ZzHd!Z$zH}H=934_;g_wE*o*YJPZnU?kNi`<ErO1MPS;>|l)?Rl-<3s^dWt)mfs
zUD`iT05jKo6KaL;&lF@ngP*lTN;SjL7uy7~;nU|-<2&G>+T`gBc#vW<yB$6lRO6li
z3%8eTb;CMb|DB2_;^!@>yI^0{#|`1I&WonTQTWgSvGc)j$Pc&A!|>VUOCA1jNjQ)2
zZ}@F5Q>-t%+xesPIDE5Qio+dVzTx_C1{OWAGUx(3Z*k^K5%KHn*0!*0v+0#J*kUMh
z#sa>|vfE|_4!1A!Fo941$$q;HzxTD4x&lWpp8v85d*6(Ba}ic%8WJWqz<j5oGeO#L
z`=`4yWUw-s1+5BfEXSBY3A4EF|EvUa7gpv_z>|W~MyKHjE2SOuFm1~?hYaDcaT;3K
z`6qRrC_E73Xu}APmsMDczznM;fqUUqAu?}ncvMYvm<2w-kbjyJ=7{<-!vwcGety3n
zo@Q>zIRt+mWmcz$_wThVJqTNdpXuHWv!Cy$5rP$21{28Pgufo_0<guQT?aOK@%(k`
zw}%LvH=H%L2G1;VJU9v;mR<Ne0VllqZ$=Cjqz|w91$#yFte=2Gu9hnd!Gifgm!;sp
z*VT3ozz)Z_Zb-s?3~mu!Fn_$?D>=ACnL_&u{H2YtO%~=hKGD|<rvy0jpM%Zn-=s9b
z&U-Ty<zZ(*#-a+Ce(z%XdH8N_j#D|TU=vcH1RvaJTg`{p%fIf{fS=|W)jowY-#9R;
z!EL62N?Gu2qbjG1aEml8MFxC5ek4p2mYuuK772^q=KFOCrXQQ=4};A^G)am4kGiM-
z+=gXqLQD){pKFcJJ>h2;x$N{|hf_1sPH=UH-utU?imTJ616;`YyVDq^E=m5+0{;7p
z_4p0Aj*b0-IqWu>FKY(pzf}5S1h4PtOR#}|=rzU}!28cfzcz>OwVf3?1J~r2vfIHs
zY+o(N!g+U<1c>~@?<TxY!Wm-bfljb+jJcdBO!<$a&=xk48SP_%HI|Q4xWJ`*uB0--
zMOlrEL_P^m&>>n_cjmLxEqH=+{TCH{N%MxEJ6x1-$e9ejKJL)x1M|O26eEEtHn+xa
z!xq_%wJQhkJU&8p_AczXE#|)re=3aC3V;RWuTjjx>qZaAqu@6g5)l(H%^)X31gtJ>
z&NKoKzNBkTfwMh@Q~KeCrH4I9FsbepzAl)$Svjp9p0Z<^`vA+;y?#~;U)ECf!as?Z
z_de!Y^M#082)(X`hra#%&;h6UU%T)e*35e3Hw5o#_|aAXZ*tsC`VLD|Xbq>p$*u-V
zqwv|E5!p#_g+dd_2y7tGC=>&a{75wZ4f9BB&qTt1tasUt!;c3}-ue$NFz9?c152{q
zlnR849-R3y1)n&S^Trz{`LtVj5e|;|7U%_U*1Jg0!~eGFX`SJz^AhnZFiYyWj+=0V
z3RTGxJXHOB)C6|mZlc_PB^}3duE4A!Cs@|tNG`Txx^R~6Zx<3n^uJ^m=Ct7#@ih^f
zh@XE{K`IX`@3#BB6Y=t_vA3t;vQu4uN#ThYHcfGOb=gmw5*B)Wj$RB-yRB`v3-%Z(
z<>iHU-Cul118?$w|G^Cl48I%R1M`qy_(uyjN?(`R3;(fjtfqz={xz%6!PahhXLrJf
zGfW>b!OY|>J4xZ)(kJTo!2@QenCE$LyvJX&uo0#<>YIgAX!sAaz=w=u%*J6}?a}~l
zc#lL0-w$}`=$#aH*piW3vJ?JLN4Crhr%}kRcECBcwqyt3=ZUU&Kfo@@zfJhz&YFmG
z?_uHU7oL1@HOJ=V7qI(Jp-v%K(vXq04Av)qFf0I52x??MgCF>j$((?_9-7^F0^1C=
zUlN9~JlZ1xmUw)s<Ro0M_48CbeC&5xohU3r&-Er8Uf&>Pk%md$9}5hHX)-^GO2C~0
z84tbS|HuR*PQzO(g$B3at3FGQrC@hvE;~y&`j{%I0!+0-NcaXEzg|Rl22MS0UU3EP
zU)#1(hEJ+EcpAbYe&)B%!MxvdNp#?tmg3K9aNWVeMorjj!F~EXtPsl8a~iIQc&V%f
zYfK+Zl!3KGIrTK)kypkC#NaYElOjEMMd#X>2yA%azaC9E;>I3-X4v~~jmTyA&MKt>
zBfP!AB}e2xy06$mP2}IxO1uI;Q$HI{37;*0o@)qm%Xu@B!e8$XY@5QeVz+v?xzYbo
zWwDvSuP#qa%)+B7zuN8KM=$#vCSj&IrG6WjrHA3)2<)40F5wLOUfEqe1oKzm(G*tt
zrf{|w9;ok2^MG5TM0a+>WC7y&ZtzcMhlr0bb<YKIA2?M1idGB!Tq9@SZFo8L;nxOu
z?|hm49r$(Wo#a=r3^&bff7t&@-N8zDnU1CFKiDZN_h&i$bjfifkcbzK+$?}qYH!EK
z!p_4_79PX*4BN9~V0o!=?+n;Zq<te1RzCdhbQ&xZ$U~U`Ta1!6#lcD}jP<#2qIsoi
zG+e=F-uejkv|sML52p_Zi8a6*782k6;K4jc`B$)iq~{F}n3QYplYTfUIl#^VR?1O*
z@eTeu`flk4e53Cz#|pek@^JkM{GDS-U>RPv84T2gsYl%;sg3aWs6#!?>hS(VO+i}t
zFiDvFCHUE%q!=NXet1Edi09e`1Pa4iQIG2MVC&$TDOGr%#K%T8Soipc6%}~pD7S_p
zd?)Bqfj<0hgR4UhuKsCKeF+YecQurN&p8a*-+=dSTlAlRd;c5tGJ{`7)mR9?Z_Zp6
zb|&Jdvwrizul8M*c7z|XtvGYQo1+frgWyY!k`;__yR)U<J=pAC^cfm>_+Z`c2e5sr
z-Wv*7!T$OFXxMzSNNopPqqW|Y4!e_Ewy$$xJ(JE<S1Np|tU-SfPOAt#mIFJ5v9Qj=
zBaU7&+3@33x9s2WEO+5-3B0|;a_9#<`5<Av2<FxGDEbaNyVV!f!R5&`Cwk$NSvfT|
zaHEp_%XaukkSJp#Ty(n3`y+hThMBhk-lx8g{4Ly-oQWCV#C*Za?;BuEiNN6Zu-^C!
zt!g;%1;uC^{NI^>^p)^cimBOFIAXtkauF;)^E>MstmD|h@eHP3dtdYwR*E^1mj%~c
zlcyMl2Oij1Wx&e^IT;6GK9<(Ghw$azn43RgYt<d4aWJ{AgZCIrDrP1V4s+-YbWOsm
z@o^g=u)_Vyk>Bvh$a2sfn4yPPW)6;UKYZRFE`Pm#einYu7t-MYE18&O{e^`mUc|V;
zR@+iVi*U(03%fo1aw28-I@~>Xw%-OeQ*_zC3O}~Yv$ziXdVg}*aRvQvc-!G?aAA1P
z?JdM}El!kNhU52bc9J8mR(r`=57zzOF-!(mtW>Y5!PLck(o`^a!1tO9aOjOz-QDmh
zshsvxa7Qq6AuUYty)jAxj(4A|riM%P`B{&_8#%Y^*<qS<S5pLFt|v_YF~eip0!1wF
zo(jDoE|@t;-jN9|Y(6;60cQy1t<b>t4w)$N!FkaytEu3QIl+s(utzeFA{iW?d@Wx9
zz9=HPlLU_9JX&=Gwn|HkSmDI_M1xRU37EpAlx_*mj=y;8B)t15ThbKlcG#yw2L5cz
zYcv6uuqzHo!OX#-W5clTnw5kC{Q6&1&LHghSXl84tme5Q+ykHQ(nwW?zp<>(cEV&*
z`<|YIA8(j@w!*z-!lddjTf4bbGi=;3N2>~pFt)vU4WCNdZLI@`GPm5TheI5i-L&Ar
z1~HlnSWuGh$6a`cq)s;vKG6MTE&z55IXaLAXD79dF&N{0aoyIG6HHQX)XNA<FZ!5y
z!JFwMqe5`+U(p;Fc>ZQmw=mrQtB}nbmd<0sav!vJLiHR(Je;c*(}mGK&z+3D4f8Au
zMBBo{WV_;>;RdFGd-kwlvL_W0pY^wlybI?f<*U2GwCa3!17V73wnk$6`wG5@#lj6o
zIu&ohi-!}B#KU9U@-O{i&3vW4NAQ!}U(!VWLf5{wT-aan;`4iOu<t9sa`+O%#0esQ
z;ZmGS1>AdC=gEEeACp~c9ZW6%&^icq$~yPz70kx4IT!(VJ>_6&f(H#xXN19K<7-sS
zuv=|5V;syQ(RHH(err0|9Rq*ht2Fomk6b*fo(zAliFw`!SL=CEC&F3AUb)}lD?Q)u
zX2Rq$m$pXX8gW|1ba*C0Vc`cnsO(rxT(9&pF12a+HCdWh4qQ-0cV-qg&Dr=<03RD@
zncIMKc+{Mpz+5qnKepgz%O~R{@OV_#>0Krm4<2sLD}u?F(@#*q_3M0`m2mjSD`QOX
zl#gLrDI7my+RFlO{VQdtfi<eni15H4tKWB4!4Ux$_;_Kpw_K_Xuxo~ZuK*l3CQSJX
zo@Y7bECdJm1_m_2caN{~O2e-8@jDvfzxs5{vhdr@2@m4_PSBcjRD>P5rzME{TT77Y
zh7x>eR<7_fOlLDws}7%akahS3(=Ss$*Mu*%MvV2s2i3ornZT2+-sVL89132&d=1w5
z)YA7IcFgE6wuIkn*Ch49ZzCvjtl_(36!fDo>-6-7BW(F*>C+JWE}V1T8TS4mulyV4
z6(v*kf}42wca6gWL8s)r;bUK1d}iTbXYPc%@QB?d*=cyr!!Rrmjx9(pCE5#i(z)3z
z_`CRyQlh=sN%?Fo1HO~?Qf3TRp^zu9fUTUlz58MEjs^O1xQ4!eXBS-N=EU9tCm!ZK
z*9Mz!upjvVXKW6)y@kI;R($P&_bcmZ5bc3Lr^$~lxZHMsFL8Zs<EP@sh|lNVzFY=d
zJ&ep6fjgLGho8Z^lUi%P;g_M48N~e)n=?=T3wAIq5FqYPdTU<#O_=;pj&%~8GFr>N
z4!eq4FGRx)MS*@SS1}*Wqj!#|C#9MFp-ix6Zu)Ja-Z&Kvm1JO{M59w~u+@crZ7I04
z^UxbR_%fa3O>ZKeblg`T7X96B<_otSFkZX{uO-vHONO7EY@E9cZ?e6pPKBc*rYwm#
ze}-{mDg27&Q;q?=-Ar9o4s#w@V!IB<hx6Gq!lNd)l8oVXi++=L@DyV*odrClvPjzn
zFQigOn!=+UrDQ#D*6PunHt^j-IpYD?zW!RHCEWIlRA&g@^~_Jo5l*CxemV|Iek@qA
zhu4x0#!kXc(!YNA!bi8ur{>|8pXhRk_9^PxrS88lucmTzIDBOHl<+2e>#~hjDE#D9
zA~VS~%n$#WB9j6?;uUqGfbC4H*NFCms;X6!7S;;fGA8P^Y}o!WBdi|G$U)S*%mK+5
zRyauD3<Xi2isAheJg{e`b`#M*9FuMu<b?xk%}*2csXXN%DG0xfcG@8Br(0&42adsI
z*J6Kn!%VT+Uu5AD@pMa~9xDt|n&jZaTLt|@J^lQy#G?$KpUh7o>XBPdkx>P{uTZ^r
z7#0vodVd+-Vt*Dz)T5SudW`}6kog7q54ch;<=suVu-gCZ0L-vA|D_Xr#PNRBPq@B*
z-Oe9wv)7Usf%nKWT)zW{zt<}u`rD_}=KG>y23l%CBL9c%-Q5r1ebjWBGw|04LDM97
zO612?qW<1GX<kZ!lj?qUEy4r8GIl+KJ@(wY_y>ON)w-S!>q_7K@DC24<0yOyQ+CiQ
z6Zt0ETG_SmzFex>b@<WF4Bb{ZBk;Zyk?*tAr_u&DY~Cr}hAYzBE{?(WN7ANN;3g>s
zm7g$|QQUQ6yrDB0&ZBOM`E36(+lcR{x@(J36Sn#ksyGQBI90%X13vz4)Q@N{hL4B}
zn!%?E*C~ke$+g-f<_XhJoIFRg7v}lOavty=O6_){eO+gNdp;Z%2)Ety4jzk^xflww
zjNgx~g=H@aktM-eUSjk_`#u_!PLlvXJa93&7(VNEr#=_H^K_0WAFi;R`|t?n$fVE8
zhTS{X?tXy(x|kXyz~#-!o-Oc>Uo!0(Fu78Q=pVRPKrko{P8yctpNHk|>{w4F@<U5Q
zXs_e_V1VahES&q%$)6rRlBa4z#2GvIMY!QF{x^RT+kf<W_Rs;C^n%<KqJ6R+*g7T&
zSK3~RC)%f*o}c)n;I!!jRK)RJkv#U_WmuJB4;c~9_N4YPfGG?<duG9{UX(#M;nAVE
zQlh{1wOG9E1dIGO<bMRKq@VA+1uIyb9w+wKAuHbO1(&SvFn$XE$g>hFgdM-NgcIBE
zAG8xFhX4BBCnfgZ9Pp6*s2Sdeu|_9*!v=>xtqa59sj~Ee@Ypxgo#)^eZ)#PD_993y
zXH5y7-L$9=f+<XolNrOkQw__0aFwC&stHU!WMxmZw>@;Eq;7C|Tt-d+993qt;tsz)
zbCxXxo}T!+BOF$!yL9m`Tp%g?F9PP``P)RaH?wsSk5l0XR}#<u2MfMjNlS+%uZvej
z!dgs@dF3$6L#qF`@8PvSQY&B=-CPTz{bzOY*zAN0PKFr~$J1W7y4Vdrtmo;7g2^Ym
z^%mg}_olbR_78odR{IOjwi-wiaoOAc`TNW<J~DWHjEGmzb7k*`eY`bti2aZ9-60i)
z&kVXJ66d2KvxiCqUa^|yCC=B7pXf(hn1SvACDETm_BwZ4!_~HQ@n&#FzH`tm_?u5R
z?N!*~T|uNf{NRXQ(j_>S=kd4?d^lM2vM&5IkYm*orsNW_I}0bDpwkI}Poz=v%fo-X
zFBtj3romyQlJKm%WN8rmSK7i+9Io<ls<{X62>r2o6#md?$PfnacB-imgsJYwaD>3~
zyfO;B@CkMgw`kZ#mTrq1UPvzRjfBN?qk@@XF`w}6c$hQOREZI`Em-*#Lzwou(N386
z%HxDgI6`=%bDIP0H~qKFboh^>@6~_s!M^;JTv$b4nf))kOKpH82fn}AlsgTRy>fqE
z3deeDbN_~~E@ZzffqR`gpANwnV~*Lrf)mFz4}OQm|I>G^gQo;L3%|hk55(T?gzID$
z$6Dc~{_=aD;fpW5ZZ^WR6k(&YFx3aH>o4J*(b-eeFrWRCsps$xle0QJH}HHA|C%8i
zW`Ct@#08%{pq-usXGPrGBMb{{USW=hE1%!nCj>w1oz4n}kK~s%NWow8r`UpF<(T3Y
zN!YX7H`gD|d-26f879qk<no3GO<L}rgWs@`J#~Ryu3!G925%YMvT%Z*yjLH)04Ir4
z%~`?G%w5ttgdh79Sim2oniaKRn&0%2CNRZUwUo>7=Lr8rBUrieOpYFWKy<&~ML35c
zf+84x#9W<o7XCz6v>gH~?&M-qgIWLZ>c_xbvp0KG;K?)<%~*KD>Wi8Vyyta&ZZb?=
z%!MCxLi=!FA~hA}tqAbdhh4;a)be4`^VG}4{tV7iC>Fv3b9Q!DU`|p0<Z}3kbp8=T
zxN`ADOa-jwv?uL4EO+?WL>=tKe9rJ19F=S{{0eUSmf22x|8BZ5$tL3SLp`Cy_aBis
zc)S_TJ1)B8CgIt%|2kly81q^?xZuO6?-#i9X59%l*u3#-cOQI5cyh)WmWq+D8G_w=
z=QYA$j<=2be!=%RSSUka{_oZ#Q}CK);}UWGZ>!B2EWq`gKS~l{yHnZcmtjxWu#_i6
z{<v_)COn&xr=JINKAnyru|Rviap7zwtQ6<-lLFqEaBZs`J``EfN(+<DYFurH{hyyd
z$OP-sny`I@>veXKaKSVUQGaG&t|yNT4#9hT67r{D@yZAZVVH4GeE<#W&&Pdukch9Z
zSHGo$A6@vBEDlFe{=G@GC*GbsipStjSxcovdt=X-CoKYdL`d@!?NQ)};{!>!oKpJ7
z6_|gW!Rs`vG)R8V9d6kE(QyvGKC-n<JYO%n-uj>nGkleIC;F4aH5Yg^37--_;RTnD
z4l`@RjWzChcVIXBaz}kQ%hSTlA2vF#ZDk0nhvf7U?KQ={=9`Xid9e`{kuSE}$<i5?
z^>`RS^dF_63`_yAOPlrz(O(^}YoNIcUltE_AfAtff5uvbz&l1w1;XIHt;!~0@TZ={
zbfQ1MC(icb0jx1>YeYOBceZ~nh=a+@vOW?0Wx03W&Qw_c!_6?Fe|P&}wvh(U_dMD`
z^tZ1oPwC~tOv(1OX+*wLt>RNS<U;5FpJy+nJxnQqM|~ff6(DYW>_}KSyyw)adL4W*
zk$kKMjvT0<sDX2wI=|JyRrkhy8{vN(Wuot3vi~xq8ep{<L*8cC|Hk^kFYr{)>DwLf
zRBzGHC-{;7yiFIpvtd`uFdUiJ*YF+wFSk5s5dKP8T|EHvj18`h!whcOdw;@L`GPBm
z@oucKJ;?-|eWEY(FT9V;$Z!sx9`i9?gmv$q(^-IH%N~7RhuNIOo~{ypb2efX-u;9(
zYaJ%xwk9RT_;Fw7zEx67yl)F7ttZBtrS-e!cfvni4~tPCzAm()LJh0Q*3Oa><IUDN
zd0JSubkLj@?z%me$OvooI&xFP<88yy%<y(!bliS8X63#7VR-yd9u+-&Wv%rTKOEou
zHh_5l)++h@w*;Jct@$4Vto6HY_!O*=^V6OK=FRn&zYO#KS8qhb&#fh$GJr+ndOoqk
z^o;6>?r^4tQ{6tefz~bh7QFLNpePaN^%F^qfRE)y+#rspF?Ks63_c#?^M`n!r?%Xv
zl?=0Ya#-$$xj#kfC&D~*H1k_H9|xT5iZkHYV1t4Um}a+lWg6Vde?f8yR#~E^%Y}n_
zVix9Mtqa{ukKnm)cYTTHi{`seZa#w-YCoL%1@AUH<(CJ??aJ3A-rucGll2tBr4)bm
z5aVyLTdf26@QB8695McO(R?6Y25SZ$&~Api9~zu~4i^hEe18p_zhsNAf}Im}9@fK)
zuZL1AV3It=1H}8gUXiq=I+#VtzrPGl`fIvT1NT%oTM^^&uIH?Jjqth9XS`40k0<-D
zG{DDA(+Y|Du{a%F_5uE9)oGm$WAbm!dzc~n{bD@)pmPU9J1jf6T13>VS=e3P7ML$~
z_$@JBWEB;>{TcT8vo|0BKL52Kqz!g7S&4UqTRPN7y5P0GBRUSSkwwQ`2Ry%n*2);J
zF1A+r3RkAd@EXBIqBHtL{!`xrr!K%N?Y_m|;V04>i^{M>{+Y@?cv)56PY$MxYo#55
z&17w)Wa0gHHMs`h#564}A$Y3xi~A4wY_SKW09?}^>pKb`+hH5e1M^>I=$?QtC`W2@
z!4}1FKYqd${O*=S`#lp(Ejt6VM<pDfg0FRaRGflSdBO@v;qc`%DGRV?%`>YV@QsbF
z>^Ye2dHMn|zB=XTu=Wpj4yY+4##i2ALZr*^$#2D{i2h?^A<l3UrW$NsoP-PAb*`_&
z(<$|Sqwvt3iYiho9Di50)G)lO(fRcb_}p^K+g^B@{R=Y%%ws;}-wlVchjZ_OPfv7F
zw!udmetFQqnW5wFT3}`WOg}34yIa5Z8#vGTU-v$^MRkhmHLNgOG(Zn?CyhKL`bTqN
z5^)wd`O%Ed3;3ROr7ROnd-+Fy0c^jtGmaBxj-N?*1~boAr?A71^MCLX<F%Ieq>H@p
zS?;NU44BNnVvPr$Od7RLfbZw5>F~o`XU7i`<F||Kg@%XW0iMAkV*K_jV!A{ae!Mwo
z6ADu|rd0{SLGryzcVOAOU+Ki)-#XpJ#CT5HBbfOF@%fcD>07YM-TIrS;32u@zr=Xs
z=Sc?-33%qhn*e*bD<Zw^G#vK!rHn1ixUJSL1DA@GzbD2&6FHto72$uQPwx=ppUy76
zlM1j{#UpBc_(79;m<r69{IE$6PB+O(J_m0Hgbpae+>hSQtHBmQ-iZpZ(jKSP3ovbx
z`#~wVE+tG`2R``4d{6@Zbu!9|$fwBG@#ln@c{1xS!fwChq}gE$clGz$@XNAO@Akpz
zg$A4k@K@o30rYT8WXVxI_{}cnhuiFEFIivQy8_#0ZEJ7Bzb9y7_2FNli<Z+c&j-rM
zt1!!K-+@WkvbAE~7$)iMEEs`nmy1+xz_afwt%l(CDno5Ec#NTRp$EQjLgTRw9DORb
zunQI}T`sbMqb4FweT3U?{UmpUH_qBGHp6!-BWN7p-3C^E4aDd9Ol!R1D|Kv3weS%C
z&PFd-nU~qW9JY1}=1PE{@4jT44`=DlF(tv~i+V$4@YvD~mkM~SO1I@1{M_@KZ56EU
zpmm0b=c!jTyn@e8>|85>RqlzrY=D;qwr^I$5{Wc>o8fKJ5`jwi5FZU`8!X6}#qa^1
zcbzrpf-SD8x4(lEde<&|g&l88RT1A`&TKey2>v8K<U)M^>a^9EF}TF=gYi#T#(eDe
zBrN%#HS-vJGunM*8um235<Ug@JTyJE1n-<&R-S-Q(?<)e!2HMiMAl$W9shuBxJAHm
z>K|O5#^FU`jpv)VtEM|}z1z8IIw)Yx=|5~+h|_Twf1re~j15HXLY!<glY1XbmT0TG
z6V{G9&$1s@WY>R14YMXnJF>&Sjt+TI!tR?ttvF$Q*_K)2{-Qhkt)375_e|p{aew(4
zg;pMhW0WPiSmDD3t`_2O_2Cn-`{7h)p{tUxpBW1UasRr1VW3uq10zX%S>WY!ojX-v
z8{6@D9(d_Yim3(6;1~Rz8P?IYHnf6w^4e$<aqeuM7lH5v#*b1&T=nvL;eRmSohL=y
zaH>UZX(~K2A3Q*8KmT=Bemb19*X-f}cz?3O?poM6^O6h^?~OmXqaI$kFIYlse-OW{
z_Z@z=JeWvqU)kiH-T>U5TTDa5dHR$}*5ITizGWtulS%LC27JzL-j>+El+sk;J{!#U
z$>dHVw!g{0^YMQ8SnF>ZV*gp+6bz-{oL}R`jIbaRo2ewMV8km!1KW(;zo7xA*!;65
zuGjSm13NYNGmH2VQLjA%zgdjn^Yy!}SK%E6FSrfhA9c!$bMW%}Q*D;8gekQZQO`H7
zkaXRE6-v|>i2H5FUJ|iHxM*PSZsPvz46BfO2&=LiJZL38Uq<^Y2NsAOByWP{j$Rwi
zgXw%9-u?t1EZ!ya7M>Mwz5X5+ZMt#tJzV?ka8Enz&nqXp03Z6jah#}Uxwc~QC0OA8
zvmBz{*-95<kJzF;Xm_h5>aF3ocZ2{e>BxTc4J>B75O)bSsd^ho)H~au$Vh#-N!enR
zXb&`f-~V=lmHY<=iF%Is={V{EZ+3d=67jJ``tfi$LfY2<1<XwPZYUC-Q6O8YgS|fe
zkSc(w*{S=8?a%t;i50=&zcV$6c$K2Wk1sGqYwXl>_;CouU>D5pa?tc8%<*9;hRzPp
zm(fG~Phh48tzmoN3N@=VqCM$dGFvHyOGY9C{NST+#J5V|!`|%F9`K`8W|AhDr|7tZ
zBYgVd*sgc*v7q_}OZaMsU0EmWnoKWd2J486Rey%>yveLLgy$Qa>H6Ru{7Sd<Vfo*Z
zjJ>c$c{iyRoICuq;U_FC&giBJTYa)?8iS+vJ>FJ;MPxEKr{DqMvsGu{D^u4FPQVF{
zU5b+M#G^>BIhdxwe&Zy3hf&ji7Us6vzJC<{%I4Yq7k)b%Coc$(Xh?itgoRg+d^`Z}
z&b)GB9VV@O8ORL>#j!}P!VQNs>6u|4F{y|h_GrIY2S4nGJtmeOY#}~6?W{))D|XXQ
zkR#5+yiH9B*QmG7lEL>iV-rbWv!Ky)RPc^sPMvKwykD<RQQZUAsh0LH!#@;@GU;LG
z5vlkk*h<baj~2c=(#|st|Kbn0$O&)1?TYyYi%p9eu*0-WcAP_S@4Ea>LHOLNdE_^E
z{r=n@epn-Ao%IVG=|6w%IK0E!^~)z%vn|6y7`}Rw>S`0*xi_`uBz(m=fax79e&9lb
zC`{SUl3feqpF=ZC!v>6DMla#Yd(#}J;LAS_jz5P5&4yggz{|R^>BaECQi$hi_}u-Y
zf{$VAm>YcRa5o2ON;b?lLn){V^JJwSPKM?47yNZ#<|fji1i1V|LXZ|*Qk-TR1^0H|
z{(c!IrzSZV0aKK5jp)I%2B}4XumshngfW~xwPAS|K3tF?YXtYECN6lvH*~xnT!$wt
zmY>~%*~-}xufdMq4<sC6`@BChmhi9JGqd*aWJ}cI4Y+bC<n|5tGNtJSdpJRGRMZU4
zn%mN}h07`Y>kVN6-<BL_c-yVZLm#fczq`Z%wsxkCREEc`TglzwPdm(%&%vS*HdL-K
zC-?Se891<p|N3os@rPEZ6r7*+&e9XUZ#Bbs0zS$aQ0otOn#;5wBR>C*{f#eNtlDRI
z7#@%K%p3$e`tt4LgFF7&abg0(>*x<}(%9h|8cx?xxa9=ZWmY&`s=_lEmKb?DLJ!|l
zqTx$`t!+<Sq=vsqXA8u`ZML5W$l%{1D*mZ(YbgCg68Plr?}5qitv@9PR$1})VIkjd
zS@5dTOy4rxmP0q30Z-CKTFk<B;sxT5;iZ%&&S|*N>9kBPe5Bd>=@^`(*&ST~SBGa@
zAA$STEFM0CMYt4ZzQSy`R;HfAnk??QJ+Otu{rO^;l9u^IJG@%Nc)k*@kW-mxg*8PU
zslR~B5+~gn;nT}UvuojnZ5H7MI9sav@k{tbeN9yrJf|+V*#MIo|8lB;tuHo{zJ>$+
zLN^Lw7sC&Q?XaZtSNo^%JASRQk8sHkpOs8Fh@+XJ3r>*AC`pI^6>8FcfwlIYlYI#D
z{b@AsgZom=mtx_%vnn>daNAdkfG{{U_sITnnD(*U+<)-##>cEb;5D(I-hS}-kG+ml
zaHYq(m=9d=Hrj0h{%Mu{$`u|ETW+3%)ka?2a)$f5T|dpjFC<LJY~bJrU3|;%hjE7*
zOIVlj)A0p3`E%`;OR)73{-9NuF}F2T7nY&O4gClEOS>|u!QZV`hqmDSbN=lr@B*d#
z&ka~z?ud~*%v<$VdZz=<r@zQPIrt9e8F^Bedf;oCIIPSP8ovjAtT%K?3|>Cqmq`w5
zYl}GW!m2I}f2m>9sgs9z;JoXlR7BkKc$e-L3(gPoZ&M=f()5*T1CH2j>AVX*Z`D>b
z3SVH4c~1j7(|xuahFMA&dw0WCPa5|$!7mR;9HoPquD@@13maW&kR^`i&0@uke0W>1
zH-;Y8t*zpC3hNn-q!RnP|Bv)!BE0PXXPyC$A0wTPhtr;{Z4ld|?NKKSf;IR^E;7Su
zKUHh)!m7$NCPcnoRNNP5n2CkDlnu6h6CLUZKl%_;$pRm$6lb!6Z~P9U=7AXw9B;n?
zX9quI=72R+y?*M#iCe+;2jPZZr!*Z{W0uC{04zhzBya&%DqVli4@Y)Tjwr*oZuoyZ
z3=7+o*vrB09@Ynr!PjnN^U1>eQ<H~}!aUbiO2pvpx#u0yushvBp5yR65s{u#Fs(^T
z{$cnUAFYr)EJa^t&Idam4ik}sXB&+Eu*3W3WWK4xn!~);m|?oQ@*!1tXtZ^b7XJ3&
z{>h6li)MZ{HSEN@Eu{@NmFpeb3F|AjMe4%~mrsn7z~PCCahKr61K*ujnK8eCl4imf
z9$hOJ_y^zQzB_9KcL`j3F$<>-DJz=6lTs26(=cb{OBGXi_2cl$80_)xcA6DTwf{xQ
z2>j^UOtu9qO=T+E2Mg6c`DYKG3pugW15>cFZQ8<dKl=UK;l{=e9TzwwDPQs<d}&Nx
z-wEDhsNdKKpYLDDzXk7CI_TX1$JSqe?hdC~f7(?IH;~iq@`a1T66-5q2FhuAFIaEi
ze0MHP{v^gC0OmKWig*OmwQSq^!RKplu%^JO6`8MsU_NPq&xtU53eCHFun9?zaWwp>
z`zdP}tXh$<KN3FU%g7x9r;MD-41!sA6}m>l@oi)V_uxP$X0J$i%lP@&ZTQ9cXKnE?
zU4TQ1C+uMC_caE-IryQ}3XTumBb)@QAG&920slVfDw+VxFNrK0!!FNP|4WCZTz(fC
z!I@lU;i<4f?n9}IaO}j`@FVz=k=nc#oWrU%o&~$iulk&aNyR=$KZTzR<eyZ64|T>X
z<-%9h_NbpE@)fC)3*ehqs>wuQ>cPI8C-AyI6Z--9W$yXaV)%F2+b>-3%7db<LU`K3
z^(ua7U7r6bv+fI+>@yeBez>mjhskr;$IVBW3>H73Tv`R+B0KzZ2OM*?pt6Ga{8E?G
z3KRM#wmsDK@ctTa{$=<N<;}gda6G+G`3xM!_}-!so}>9>Hw9D4U-PbkIbVk+H^XB4
z7><;~qjY1Vt*~2ez|m58*UPAzjqsyA6ZeSolYLEWy9u^bx*9^9pR&gTp|9Xuz5B$I
z;gC)K&IUO6ZMbwIEYtD%YBl^c_Ut%ueTVO{Jg$Lvi8f3T*Z1_uE73AoR?aiwK3udw
z;{5_nObEy(?jJg7jR!d}(^nZyANWaa$hSOrFNKbwC%lj1^L#wq>qAfO3=gdDmQI8d
zINvkc!JLPu`~BdKy6^^b*gc)&&>fhu-RO%6Jaclj$qKGZ;`h4@Pn<YNZwm{u(nS&V
zpLKGjR2!D1{~>(=)~aA%zX-c-jjAcahKDB7q~K|uSN~+-CZS#9GH|SK4}}CQwfkc*
zFMPALx}0d=Tpo;e@WB>}!dMH5`pBgI%>akL+yDRelO&B(gb5Dp(D&se;#1vUHW-Qj
zf1)hF1drJdvu(q{`+HCBgN0m3L}y{+<>p~Z__)Qc+jB6ZnbkDW|Mc8E7&8RRcwSB1
zMt^v<lecdKW^o#RO7y39QkuL!zzNR>FA@DMebDR17I^BJk;5dsePew735<VS!#V~F
z{pyv<haITdg$7`fKX&~waCC}bZ#R5-`7&P|EXBWP>@(c*@tVv%xL}GSss(OUQo0ue
zSH$kfdJCI1v>vjDUGK7M)WLbLo;lovcL*^XR>Qj@p9Px0do?A<OJVY@dmpdCHW^CH
z#CR-yX5*$ZTt8#im;<kleyUJ`jo(*{5aU0`FDIS2;0EEzh*;RtZM%{Oe$u--L5z0`
zuXK!M?Z^Am)uhwJc=dEFLuv+$wO5ykc%oWYvoD-AKKs-MmiK4A>kX%jh17b$Lt++u
zX7Fa`UV1<H!mY>s*I?JL-W<euS&%bmQ4>DKyWw~T-oE!PUmY%K6!9R&%UT{MCC|aP
zObVL+gBA9>{850@8-_jw!m_p_x20gR{#Fm-_)lEZojM6~S)@C~!;vDR*G|K0U-rKx
z#=k#`_Or;qyQ!z^(%~~y+2M-t=99h~g>W(5+J+pQ7F>0e7@rnW205RH&4qKx>*3t%
zA4kr@No8T%uVC4Ay~}E_Smxv^aeZIdWcd-to7DJykr*HPyg0l_d>=Wwle06h)DA6n
zWw`Cr@!x-7)~${x;`^(|&x#Y{A7Rc<j!JOQ+PDlA{I5fMT^7E?TrtWDyWEzsI|c8!
z@a#7+Ua|D6Up@|ZKCq7>#tSk>Q!Rzyt!U$TK3Fe+XMq>)-@Q*(42~0>zs?0e{IaQV
z0`BVZm|=u9NOa?g@j_j=Q7!|_9CbQ{sL$%SVG%0$J5A*5X?W{S!*2?>^6IT6qMnOp
z&b#e^BZM2z6ZNjO@9@zr2FyoO$k$MSD@F<`|HAgB3z;f#<>_F@MfkR4U!F4D?L@ae
z3E#<MU(@&>NB14i)%V8%+|G!kvdU-~UkWKCGYu=0QOGDs%gD-JA!J5IW>&JYBRk0m
zN!hbR5+Zy5UibIs^YOm--1|A_-gDpY^Z9ULF^Y+T2{=!Vl!VAfXk#s9M&Pb(8BI<2
zo9X$bL3qQ4#z-CJ>d>NZg{J~#3yAsY1O9@s8J@U(q*M!*ip<k^4^y^l(-HZ{r3z2#
z8d%8u^ll>ma9*T|cniDo+`e@KUcJ(zQVhRI60{=bze)1nH&fxs!pn8H;441G?8)#-
z=*cD`Ut!slPLF{t7qku#`Nn+l4#Ozeb%u@aHoWgAtDP^rnsvh29PY0f5%h)~6IXoi
z!Y!$D3N|p!Tbe#1AMs3kyKV(HXiN=Tz_ns>Pwv23r7I`w;ROqF+1s$NV5JO^&ycq7
z)zOA!XKKTUeB`KL7riD-)0h%P<TJDDhB3;pV_(W7k&ncLa9mb|!ykFi63+|zy7U2A
z*sRZ8!5fwez8N76cS#y4dBHkIr?^hRduO!ch<s!xUt0GGxNrB#Wa4?$a!APJKiGF4
z&m!@>+HEk#&Ig~3|4u^WGt6PDA}sKw^-r45VEw;2zxToyjb7^#&$}2t3A>$e3w=m7
zk&jqa{T8H!1y0>BAo3Y)ecMt}SmdNCWjtKLci3v13H`~*OBV}Y<j-ASg1s%s4U-8U
z*DG9r%MT2iB*9kC#$=}8){3H%S1{e@;HBTN{qdj*B0uSkWcT_G@8dGwMdTZdbhW34
z;pVf9`-yyprME|;4JHfjH_wA_KXj#Tfp^Ol+T_CVk7y$5;L(1^k3@bFaxqJ#7JhhH
zqooiw%@^-3g?~shaS{2%dTCd13A|wc>qr@F<!i#83sV=RKB|GU>bJjS!O3|Ju0+04
zvlM8M0vpJPwAaJg<~;je!roitU3IWNSy56n{Ab`T-zRt>Px)FToMP;Mya|?m-7^{l
zmxV}pw!=Ol4`QFf)ZNri+F*-6YdnwPFFJ+2o$y_nz#$J}`x{=vU*V}n_InQSC8ZYc
zA8<&uXs-<{P-GH11ovrc&fbKN@sNy;!DRafUKzt1&Yvbm;mec{M6bbYimO5YU{ht=
zWKH<X{hIJuxZa!cxC%U5e|dZvE}`%lQ-rVQuuLt&xyj5A<zS_2sWO}JUA=HV8Q7fs
z?zwe%MgM5gDcD8+(Qg_H{C>=L-(e9r<DK~59q>$dMlK)h%zHY58TOzK<TwIXTP()x
zg~c+tU+;(YXeVV3!`$DOSXkhXT*>DS!jm0=DGV_0>Gd<>@E@+?rX8>#Z?^m?_>$Ts
z?d{#DzjGdsE5IFmWFOYxn9QD$^YGn+cO=NMeGtn}mwUwaE#ocAi2wIO>CppNCH|s3
z3F6ng9$9$79BZ4mR}nuo|Lcx7?BSx{Pl|X;c`ki89RH?9X%lfRS03u;@b}OAt0)n#
zkPFa@gV&}n+7ZXI$fwdyfQzDE{-%Qsy@XYZ;L^FByNK;ogWg^!fwM1}Jf?>)nmGUY
z086<=&QZgEm}tj8!lVw9rn_OT>6U;_c*o|>Z#!WZc@v**I5@&kaUa~wb@ab+B5q+-
z!U&JB)*YFE)l#beV}mn0zwh6Ib$ZLync(F+0n8+pSWl?l@qry4yS-t=0srOtlt>(}
z$G<?23l3;z+DpXsYxbr}!Dd4E$8B(4!<E;PaJaapGjYCOt>lw5;I<nbi9~;OUv@}S
zgZI7)6(IWa(06KO1NZ>*e=!TNYS<ZdeYh^`_mL_1s#^8@U0Csu{j*>2+t%q7GgymS
zoO2jvj*9>53YV5xo$Z0mXFn`B!{fc8ZJ*%=uGI^VVUM$ayj$TaX)aYySg$FUu^#64
zc9{)<i*)w7)xeJ*CM*WQ^T&E=O5qFE5;9q^o3HcFTsZZdhQez&`-y^8I=r$K`0Fja
za>ZltB|MgtG*t|TrYhZyfp_}1hkk&+JaX)cfTP!jpTCFu*v{Pygu`$C`_%;J-solx
zfM=sgrW;^Gv*c7yxI%+HtP8d;tlsSkf7Uq?`3;Vu35>Ue)6xYd`r$!(W-V(t;^E2Z
zUO2ts$M9X4XH`6G0<H+0RyBo3!=)m};kC%}p6hVRCy9w^xb>=3h#sseAT|95&a0>0
ze+8x}5|y2Y*Q@-#sKc>6r_Rm6-l10wF2WiGe32{g`S%@r&cnU2{IN^$qve;0Qm~RZ
zg)F5Ney_n2vQq;7G)r=h99D`qiWY*O7EC;+g{z-_Q9B0j6#4mr8YZ_(?mGgf#AV2^
zzy%Dh7rEh+e-ah;!FLtazp}uL&t0A$fM3nO_1_2QWLUpohe^T$_R+%uKe=W2VV%?~
zUevHgBa;FzeE1m;0|~67_cP)+EW76OVUrQ--Q=Ayf^fcyp2i~lXqUP48Mw1&SLG}m
z<)?f0H2l_SOmPD4CgYBfgFhyo*&c&A<mqB$V70W}PY2;qjv%Q^@Wbq)<sR5m&{kdr
zzE2kTxE-bo5emNod;jb?-3AZd+!w6@b0_50*TWIaEx)hAL#1oZb#UUFycunHe^<wj
za@eovrknxn!Ovb*3V&w0a9$tQ&-|y92hZG@kGu)r7ZWGRg&zfW#u~%l*%<@V;C4~B
zX)`!+`108l*s5B7*#wRnC)axh3($MLu!fhYJU#}&VIIbbR<H`Q-W4CXX#e``BbeJK
zocb|rq1Cf!2Q#dgM>xR)a(Le)9GjS`>;O;6D62ZdhwR<EEa7aI{&+9=j!t2qIm|3q
zlI#Hog$A>l!vB3fyYK`Kd0pLh6JEM{VATiKxEQOa2b)Nw;)U#}r(>EJufflJUDTh#
z4_>6jslx`P+ey#hg(F|CT!I%qb)|*EKmBut&cTP&wU?vd6PLOo&ccG_WTX)=sdh-V
z2;th9lw|mubua5NnEB}Yj3hXa>}~21*gNjT+ACPfs$1_6{HvZ~I}LtfQasKEHwIg2
z<iOOlU*lNd*RJx~S@5KBKHn~wJUS!20G5?&8QKY(sXAok!NqHt_b6cL(!Pzi@CZ{K
zHyO-#;x%arvA=L~_UbNt-~N|Mvl5>3e0y^lo<IKWYB?N29yK!qf0jP>`aNtJ^g4A4
z?jvm|sDhug-Kpq@KXTpCZiPQM`to(di*H2qKEeBW%!=Az*Fu-94meTo;k_1EiROG>
zJN)?Gm8Ck^%<w5`5B#rNH@g=8>Uf2!3pP_ZBT)tiaz|Vpge&J{XG-9BQoZZ_a9!g;
zr(AexH8ST1Oqp?5I2+DS(k~c+V}4Lpq`+?`!^tP$)-?+2moW3ytJLH0RP?XSXt?5E
zfbKNBXL7VK67D*3$?y+c`{$!<FwD>7^5!2rXjilN6ker~E}Dgz`%^q0!<&j`lq;}6
z!V7Uv*pG^rb_xD>+pW$4UNN`Irg(_@FYBg|Eljd0kWU6*|8TMVK5TVVg^U*VJAdlo
zU0BYEatAeh?mhdaF>JoTb!``H>q1#*2-EKBy-p8TT>m4Z1CLLUZSRK_L*8ayhPiv+
zlC#6B)d^xsu*>+jG(PyxhC%W<_*SY<CJ#*ScHy`b+>;o*ehkibKKS!AoP1b@L=e_A
zrnM4*4^f;?mV|$@z3mr-3v_4GCE!i9mu5%clD?lYYOtpnoj(Um#^9fz3jgh0-n$R3
ztI+;&7gp%q{zC`X>Q)ZkhmRKSGTsYsMFzEd!g4zWJ?Y^e92}kQ@bOhndP<m~V#Yog
zE_iD1Kmyb4b8-%Zxti`#tT14Ff5>pe!q09OTh7DZ=szBefn63d*C*j6TDQ7a@Lb%)
z?Q!@DHEClSeBF8Y-yr<fxtlcyUd?sP=!Y-L>T+bkQ?phlzrxWJ0u}{un*sG?JA5-Z
z%Q_EMCMU6Pgp<=8>fXY(uOkFL!WoOp4aKlSLEzg;c+jwhwGti=<1{aakJ!m@l*13V
zm{$v64Pi2i_waF+^xQmnXs5e%4J`L7K{5m0!7fwR04tvsm`#KG*~DAwU`iGa>gTYq
z&&+{O@U@UvmCs=3jC%*0VAA*`r2x3sl*76m&QRmqegfO8N87i-U#ky3b%#d{FEn(*
zUoz9>T;Ul9tX#rn%`w*=z^}%?bN9kD0|yxH!K^ITk9NcF1DIdjfTz1Q?S|loossHB
za8;|l(*T_HE3{t+E*RePX%sHL&k&{sPsBa_{2jLXPR*eTlaL<a{tXW&Jnm3}_1`n`
zkHK9H4wDk_q<4zr6r7qhmna7B^JjOPB(^u45;zWji%)NxgZH@H{4M}n-Z}8~FWmCX
z!2B?5`Z?wBGHm|4{m?<!-k6nd5l%K~$z_Gp*kT<v;M{qsTg-5`*JIBWIOOO_7fLw&
z#nzW?m}VeZgdA?Mw(i=5^TQJ=*XVJ*4ovV+T4R2DOlz|O2RQ2ski+j2sJ8#YCnTj?
zcEgl1op=Ahtyx*^yWkhEI~ISyCL}BeS>Tmxr?N)i5DD+2`(SE5QSlzwad^`10Q`e7
ze5w-`AJTDRhwmtaIkdvg-KEV3;d;}VW1rwJafd&1!FB6XW$$6F%VIUBV3Nhz-f~!V
zDdvMHY|%JpS_m_6|J{2Ao?4RMpASE?2xgRqJ;mfg%HZf8r+;_gb35AFvf%CK$7b%q
zB0?X}7Qt`Ynt~nSms$cjZ(yEd-T}_=Z`OkcOW}yLjy^BgTI5n!F<h7**5wT!aF<uE
zg4IpF^8~`jmhWs6=XZc3?NBf*)~0Xs0XC30Ul#|jHN_8B!wwmP?~-78Ubp&o*ppI(
zE(1=jjB;v&%^S&fWWw)+eP_DhFvF`?^WiT%u_@nRsn5qW3t@@Fek_Bqeqr}~ExgX2
z=1KIoXnpbDIykB@WRVz;N%y>wUifT6+}=L;Do@NnKRh$`*pC>$rxH_wqp;YByEL(V
zU0^TY7<@F}G=Bo#P$$=CwZZvX^rsN*OK6cAF~dS^8$!hS(|rG=E(m8H2vlo=o9o|e
z{s-q$zUixh+rDq7h`?*&k3)$5stH<rB?Je1r|&O;x7UxYh{11WAGH(X*%-%4A_~hk
zR81tqJMJlINWypYg5#55F@{sui0x~Bek%@vy(JAZq~U)F$@hZb13#4WPQ%oL6J9Q`
zpZNn4dH7;gk+>6F;iI|p4D8-_V89p_aJ_f^EWG{sSEwQUIO+N=8Cc+^;Ok4U*z*0N
z^KhBlqJau*dtCPealD#Q=U{$VVM}i>5icS=ufPjui|TO8!lr-If6>FemY1w9z|jXS
z<LF?&hngNl`<o-vEx&i-_`K5X#Qx!XOFVzU{7L6}i1T&YyAaa_n-}x&DZ&3)zEk@K
z2k#I&sQ`aE#ytNH4)mw@R)$OC`d^j8jBf0K#PO77S!!Ov-;5^vFTq;A{kCavs@v?a
z3S8K>N)iwA7M2TX!W9YcieJD+F*Tx>;Sl9s`DgGe?kA70!BJXKOChjoTfh??xYMM>
z>j|u%q1tT#kG^^+?gLwMsQ2r`q3mIGF0i|7YS|OmD>QrC0`_t)EcS<g2S2fS1T#zD
zr3`~*r}_Bo;6F{zHX~pk>;7H7@cR<gOL6cWg-0JA!|^-JloDY1W;KaGcu??AOd346
zHa6uCKOMah_8MLZ4f{rX9?FvkzvscsClC8a!@}>(dyC+2jm=iCVUFd04t4Of+;DFy
z{Nn9FyLwpWX5OV7`1EYr-fys{Xi-T9{8M9qu?vo$_4+R#zWIccWC~6^Jb5t_W^gvz
zn1)Y>6qgskUnzCY(AlDYH?Ic~$2;$yDozi3{C9+uh^GoXwf_%pEC}o%+Hd{um$e`q
zm!y7yXkUljarQQBR%AAj0PFcsF5H5Tie%eH!qe?n!fjwTrd@+!u*&ZK$cHfdh}K=A
zKduS7j61;b`JNoaczrlYK4}kE{b+dY2HPg%y*O~}%$xx+Uh~#RrCng@#}bn^u##wH
z;A7aa$td9=Jn~5%uQtNxtxf;$F8pKY+pr&e`s}Bn+i<w-wNYPqG@j|cA$%@v{6sK3
zeC;IHb(p#Bj#wZ}!|IZy3G;h9b-sXy)JyiL!y#TPJ<;$lqwT~C@M4EEUlLqBz@l{y
z_KR5&NPsVB+!#3nXGuMBPJ=^sJc>9CTYmcImI6l))o_czTD1?_GGWd3uiuWtmso#&
z$$)!kIdAa5E5_Fk=E3CR$M+q9|MTcPk_+$bba=TRPTYUNwiwPi<EzaEGm=+5Dujik
zzkFwe2aiNBzlS|rekkpPIezS5uYrGX3U!ggPIt`jHo(s>iUyFv6f?sQ>S3Ercji?(
zTwe`x6)kXvv1juVyk}oQbu&!r)TT27AC_m>)d5$rw9-z&8du$z+Tq{`_NY<V{)IsP
z5Pb3(!}bsy=NnZt0FN6PJne#+*2Fdcz)KI#&3}PqD-v~n!;havxHrK*_b1b4VNsjM
zq7Cr=C5_iJ@R`N0)m5<CO61BS?8Z`KQvqL5*;t>4w>B6_ir_~{(kkn4kM3GwK0ICi
zQf(Ffnv7ZxroJ^4PhyAsS@Og}Iy`?-{^b_pCF74h5@0$7$5~3mKa`rCjDsKk?VBfu
zvl`24!eL)&1_e4;7gtFbe80fr0u5ZQI8EXY`)I~LXN0LjKNb1H)1e#D3~>K#PI)(&
z!G~vJAKWsry5J0Fs{EYU4cmWBq`wcpN}`fsgDqVhYwy5A{HF3Ouv}QnC1ZH@i&rQo
zJZ6_dY6wdS%SN%o&V5SkmtgtR+T#ad;a{9>$}oQd(=-QMz4c-IG%Q4YQ0gcgEE@en
z9DXV<e}N0WwKr6jlQ8@F=R9zx;m!H|@IU$oiQF*d@oUj!Fs+X13@_Xq#IH&M|Jbp<
zPVE2J-rRMF7WH}SxH1tB?3EE2fRD1R=@Z9ym2H{HhX?L<W*&hrJxfS_1OL`@s%C{3
zPg_p8z?SFFG7!g8yr+=l1Rp#V#l;K{TU8inz(rYV7DRg*VPU(~;KE>87otDkij<ud
zgdaTq-FyI^(+XbVhaE3Y_UwhrX!CigVgGl&yhJ=-*tee&c1U16L9~z8TzX8=V7~KA
z_8{6f4Hr2%3E$?Z2qxN(i&Zskgzvk{4HEm;_Hwg*gqtV^e-Zna%KWR$hOc((h!Nv+
z=~?~5O!#B$18HJ>Y&A6kV&J&;p{K<79RGY!CJOeAejK?UPRW`5;R>_M{P}qZ{wz})
z=?pKDJ4_J$@qH)NVH-GLvrmi<p6U78Wd*Bu&Px;h>6dTt*9g`VQ4bV=Kc?}g7{C`5
z`a}5P%Xt<;+OYAw$dE8>H!MDS1?F$7_<kIgzT|4D4C{0-2#djLZxs$J!kc!{q9@^N
ze*SM{VfnT(&oi*ju}db>aMg_!KXLdQU9YnsoP0p0TLz}@eIfK8?7Xv~PYU)OA1OZw
zo6!2yUxAq?n7Y~F3nNrb8t`>deG?}5HQ6ImBbY^|wwWGg&s(@-0FU+3UZsSuu|3hW
zfiqWVt+%L=kL7IYJcPA7bhZ}Zin*(|-oYkg>}136^Ns?uQdrr^GPny)7nr@=28)r7
zWqgJu<`uMC;C<iDoN9mtuNcnt!8at1#Jz_<&E+igz<v5IeD7dk@AA-JFn7n*kYadh
zoho7smbj3=KL@U_-66aH`?tA!WxzSR)kXiovf+IUNiYeW!e<hDtiK+Mvx|j~i28PH
zAx^HaLK+T#O?Tp^Lfph!t2h)kiLN+I0WVGF$@{@?YkcY1;rn|F^gUsZm|8|wnD!In
zgaZ+mdu_-Czu9RVYY(sg_;G^+_T{POwSWV-UTq4%7c8`b@4|8~21x#cYkG><Z@{Ls
z5pfdm^a*Lt>u{VweWDn=dnSQi3vLLEotB0lx(?M`hC^O|nmq$I$KtCm_~5a483owu
zwkyd+*nLlnyga;bVmMF+9;3cBs16IB)tEmG|7-{zxdfZ;EpiuuD^6=4*M^%?ew`44
z4d1(oXu@ZDRjPRiN07AMfU7EAA3X$@E*@<+f;-RdDqw@hw7+wh!K;y{O<CZ-9+U@7
zVHJ<WIR^N}sS1k+aL=xW)Sd8~UUIuTa1Lj9<@yfv*IdDSOPIC0)M^!`z28-D4o7cr
zZqC9Z-5z`FV7poQycsx~J%!l@7Ie&z8i#ieDBf~{T{0T~j=~8Ocg-AN(+DA#emH82
zw%8pO*j5$lg@1qhuhbR3s8&?o4m-&<Q2M~W3vCu{aK!K!^<%gzU2MG`exKl~695PM
zspZzenbfhme(<h@63KGd;lS}%A+S>Ur|D8yR6{v42woLE>68bjmG&%0!1;j}j^)DQ
zCG%^~;OBSVl%>Jlc9fAX;e*4?TrXjN)dMk!a5~+o>}dF1O5%7r?7=T%6bY-JEB>7d
zpD4@t69kLSii&5$F-&g~p2B&0ijtYIGbOvgV_4;-WM?Vt?#dD72Gfiw_msetwf-FT
zaJ_rg(JJ`Wuy4B!>=4w-R{`t$&R@R|&$~$3*TE4Z)4T4%@mk7`wXpr9UYs#J6kYVO
z5mxlLqHYNLNY*xegs)6j_iMvJUwK&C;M%I9U`<#|_5^ziycT?DzY0uuEZpoXOcS@a
zO%Z-~GydKe_}*tPJvsR9F)hjwcq!MQ<_sJmrAIvkubyaC6@`n=P^3)3!aT7B$BFHa
zP^C}8U2Al*Jn+`l6uDKniL^EKAgs>*Qehcp;*}L)gS#cmazq{>zxh?tKm~K3e3>T%
z+sz1RZBgOxImXXLpN9o9Z$4OtQ=5*)D!^KQ2Ulj`o_zzKjp0G5xVkZTaIT=k5bnrf
z*BFE;N8DZpz^Wr{?w{eYZ|76}V9{$=b~eDjo=oUA!w=H_UMYa(D5b8pz$d<%e0&FQ
z?>Bk+8>V5U56y?S_I~jD0}oNSk`wXMGW`|Q4(NZ!UoCm?=K`g7v@pw2O}R3-W?Ey0
z7nW#pqaor0gDrpf;Zf0Xmr}T#{{z=WcyPzp^KW3a=a)E?U=<OuvbS)l?SBd8u$B|m
z$!z$e%7<7>INSEtt0K7mmG#|N_|)vs*L3()AD3A?9NH>&k!Y{w*SlY}ut3I%+7#Hr
z$6>4vX4CQce|vg*d)dCjPdd(QBqPpdGt4{+zm*BF%z|eY0ybCRuL1l%sc>Vo@%kFP
znQXg4oR6?J<qt+j^w-2+dgAzg-+6vAz)xddy@-c%B?_C5!0Y!Y@*?4=yw;XOu)2Pg
zR4~j%Z+%+?rdYzOO<^6&q<hC;-I<ay2YB|#y|*V}`5@c-_VCedkFpc6*(;$Hb2y&n
z0+l3O;WhdCKCJXcpIQPwM3OFM0;e(@(3XX#SPUnO;bwQ?tI}}93Y*<EnBnA9$~m}0
z^)rtSoP1|*h8(<0`J&u;n9i$l;UXO0xHfkdb~`_?bRHHSD{+&A`wO2cT!JN%%!DQ2
zuCoc}RbYDVBb7q1AeGXyD{v@Fhs812%icUv4QA0)@jC!>CNhp{!>hK-r`cgwk3(ac
z@GIe>kGo;6tr`)1m@dS?VHd2j=jW-bu;SV7uq{f|Q%g=>hA_h?H-!!O1Y4r79_%Kx
za{UjSbmREf8*uuMc!uBb<pXk^MsRb1UhD`wSk`>d40cW4R2_na<oXYr!abeudOP91
z6F00L!0crDPrt$)-d5K4;H+p?)=zLs%Usn%*p0NLsS!Ruxm{xkE3Vt<)W9-NT<9Oc
zc}Wb^Rd9%v|1LW?f3qc`7%sU<dff%i9KLm-5H4e(H*|tW6AypQgqe&yGCg6Zs#5O^
zxMesX+Z`VJ{%Cg+tnaeA;tMlN)7Hhq?TuvX-tfD+CiUlV?7IgS17UxCUD9y)bBC=`
z0BmrcEjR$~W$Sw$2Dh=L%lZ-fZ;nKTz&*Ebx46TcFXVql!c&iCU0vZJrHkVcFb`io
ztsQKACgnsN{KHP7!W!N#d3Evytl__^cn==g-12w{7w&OeGlQkilRZv^H3MXy7{ONG
zwLYiACYNg^4B(dwI$u)ZQv#3cwP617RE}(T={VV=EAYwsG_Fi|{{9DYWq9AtzxVUu
zTiN)jH@s0YWBvw?R3$$v3rlH=zAJ&tn_T9lV5(-3iXxb;Ro3GqoKgOex&mJGEfF~Z
zU){2xeFu9_J67?-#^*D2YGKx&)0VvOs%HANYPd5ee}faYm>o#{2=jbDlzRYPZ0=6~
z05dTBlH3cs%%7J13h$AwiQffhX9~-IfoaNp{@Vf9iCqusfon>p`zhd=vdbY|@NiV&
zoec`q8@2JgV?_L_)2C&)=wJx{DE!Y~{@P#IHU5p=Bz#CMiDnwMYD#=G0lSTwMgD}V
z^E!7e!)7NBtPaCZ%W8Ko!X4~mKHcz@=8Z*KC;UIyoW7WLxTog(GBteuYZ^}@9Pwf;
zgasCylkl&DSuOg*_Q6?Zl+5L@`{bmZ0PJ?WiN6T`m-XQhKfFB}Rgwiy>lDAb0Q)aJ
za88ExS$tlfgQ<FDs9(U^v4%l<utM&;{o(Mc5^u;gxZ`thMgT0yxVPU39#78K^@C47
z?H@3J<9U6@-QgEIGHoBg4Uz8^o#AAg6ApLa^ta|W@4;UscYm;i%jEs`+<||wch;N3
z6MqeojNp&rZ+6?k+a-3F4Pb?z5BJ!>R~uD^wBT<#7mb`?`xfJnD{$m|=q+2=&i}`$
z(=gqTex5TNl)f}B2D8cSEGLe)mvK&%0-l_?Vo98jvQf7e75qHtrM)p+d5^v1Cpr30
z>fe95u>R#$ieE6xaX(>A*q75Js}+`-8UCpP2M3&4`waglA3S*;PRfo?DuMl(rW0h~
z{Rx(TOX0L5^~sWOd@CtU25ia7cU2U2Inj1C6MnW%YH$puNIbL^3Wt(B*v$i5_)n;Y
z!>akFdyc@3S~<M|@WSu*h6Auyk_BH79CGe+6FYojUZmI?{+V~iZ4WG;G(-Lb{%)(_
zwF~xXddOi9zacLYBd#ZgNxlaTFtvH51QncGGqGX`?+{OXNnD@Ndz2$>;qk@yY4h;D
zyC2?|z++tEdQ)(2j`@};9OtWcow(i~u=77PfQ^3EF%tK~?V8qJBe;8EnCUwlQ1s;X
zRoKK=r=b`AS<YLm3y+Rfwi5TFM6kNP99->p#;XN3-T(XbSvY+<Dvp>RJZx3Z4wB*b
zYwXLv%Hi8PtLFP)GOg^HVwlabHKrEcxke&c2|whQQK^OnS1aV+!n|%Ob7^oa>yE%G
z_}_){<P?}(`9d%;->9FtClm`a)jaL3gE{28N21~4%BFr|zA=gRH4laF1<>*~!6*A?
zIfG#}t&98(u-WsZEFXAEm8Xs9->5UyzpP-tG4dATe$F_$L*EfDJ{6S14R`RiSXjfg
zU((-j!h3c+S-%U<|7+GHuE!u=7BOwusr1w3n=tK^=4%7^i?X1bJM71vY_0{r^Okh+
zgg?ghja-L46mK(y!fi#r&t8LB*j*T(!4KQHN{r#^%g^*<;J0JkW`^+FmTcWv__?2U
z-)%Tq{6lIoe0Tfu(_8SS{%CS4?8NW0^#JBwTc6H?yGdQ&+=Kr#a82dF9EG`uY~Xs@
zJFRsvv%2dkV*4n=$WQffbyik}EiBg4o!t))D(aM*!@CO@vj*WI4bS8DaILd`_ZobZ
zwP%jlf3)dk=LT#$xOK}8-k0(IKAkh>3;AasiT<4rV!THW8zhySCi=JTwY17%m_>e3
zh3MbdeUVB>;e2K0YA1NQxZdt8yv#i4`4FCaE?|2OemS_hK<v*yd0tx&Hntq2B0f)$
zY`4xexYYVnIPrO@75k=c!*8FFEt<l2UCd@~!K}Z2dlKX0=4f*I0c<$naY7$n5_grl
z1B=$Et1815@eiL^!c^aXZd`=fUdo4<68p=UR&u~cf9RhxgwHsB+Q|(w+w&_C$G;P0
zS4ai3d{o}jfDh<&lF`6+WI?2t;Bn8W11qFhf3hhkIS-#Kn!CRSTe9kwD!_?!UsmQ|
zfeLqXDfmeukKzLCLn~k@32(YmbpC-kzF#>a3cJ~8ADMwmd&qc1V3J;u{4rSQhd@6+
z%q8qbG67RQ9vR?;^AG3-4Z}C9X`gY!mYqoh-{BMn_vZ)TQW4Fic6j-Ij`BX3&+z&A
zudsk$$z@{vMEd_a<ii0!W~iv(fW-eA3t|1izq^R>KRT@J=MTR<bgF&<j=bdB{S<zu
zdaPp{_OIf}*MJAF`8*kh-PYAeG~oyvy0A|8p27JVKKR}}s|#)LhjXU81PH%Bt@aVt
zP<nip2A(U<Ag_k0n_|Q0VDiNH9p!LC&e5zj60AoTGFBGCPhU!`ZNQl(Oto)_xLehp
zDVQwA-#!CQ9RGB429{b5aY%<Zn1lX~!7q)dk0-*#BhO_f;3v2D2*<<f(b}JeVG^>S
zvFGq?oi6(iI5a=*S2)~8#`>xk=JH^P4}`TsS(f@?%^rco0N7UNo7Y!(SI&!S;(6G#
z=bdFA{K~(q)*3GKvDx?nJ47A)aUE{Ga0>s)6zlaX%0KmB|670T+Tq4P&UezV3hj-2
z;&_LRwJXlR(&J1r#QwRYY|n`K%K5XBBhmiDiv|(I^QiRhGGzz6k(^#cJWt;35&uWD
zFKfP7LILm4`|d`x|7l-R;4jRVcb>j3BiawUvJp(=Q^!KpFA(i3Eu47s8Ri$3IzjC3
zINh2}<Y!6?(P<-a`aYqX&9G&O*aFc%ZnROi8sRq-y&lB*@XVBY7r>v4Vjg^l`Gpj{
zi06lC-|FyhSl2vRJO}RY^E*zAml->=WEPxi&09VSiv&LWn*uX;=F^PByXV%X(%`ZG
z_PP?|Y00s+GZfZeNxZWNcX~PQ3Wh)QN-h%Zh5mUc<N#Y{CXdX+rJd^{_V8H=N%KE2
z)9ZvdqP|i3w2yWcrZ=s7X#$Ie${r@h|IQw~-4dQyOnXS2|KV2dTSUD!D(4~m7QWz6
znX3yAxpDp|f|sphONjc+;$QodSU5K37%5Sog(+H`j)A}HFwqe89A66OuseKsHAa(Y
z-+Fg>s4L99S4xMd&m4ECaM;21m*oE3foF1@Jgnf|7l)>A!#oRg^mkx~Aw3BTSVu6i
z$`ocvU6y<ROLPjW7!Yn8`%KhJfxFalufh8txOEWykw*PpQUflMliYX?i~s#cauGJr
z%2|zqmu0Wps>4*H)#k+W`0vJxKMJs;j>3K7dA-EBZKw(#Dzj7m1|OT`vpElQx%^h`
zfG0v5wx!_kC**=ezJ2Up#~v}*>x|X$ak!<+Cg~WQJ<#AV4a<0cyet4q8i+dofuDXd
z8#)9F>iE|GgEdRuhH%3-Qf3=w;Y-H42Uy{U0Z*@Q!)he6ZhPRsk~zaoIBe}19UYvP
zdiphSy|=vSt)PZo;uEsS;F_JTN+ht|==Vh$SZ}*#ZF5^$ZaL%p$_{w7>eiD*xcP$j
zSt4Iso=KCKhj;XjpQDH6cPrOV!liB8A$#EzH$VFcnB(GDI3t{}*&fmjQ@&yuBI*OG
zNP78BxY6(I*lzd)-RgKbtYvynhz*vjI2m0A575Pl5&7aP7EYNYn197(iVkjy9}Y~0
z)6ZO;BhIf<@nCuw+@vV=iUjsm7+eU4Gymqk-ooeK&~x#83Uib=?j!o^=dE9yp|Ib-
zd6pSimf1V&2|S$D+e(aw@lnw=e^@N^TKiA<v|*dCCw!il`d=IT`{jFUKe#$LY=OuJ
z`Jd=*yTh6Sy2ixykX9KU=M8J{P2MD~mr*HxeiwK^wT+d?2Q_b2KXQXVYpin+_2|Y=
z{MjmO5;^+yH7x4>XxI|AFy!bZ?(akEFIEg;`g)p>1el+e=i&``?O1kL94tdy^7R@_
z+Zc0^xPD(aOC8dOlTv=GhQTx>x@VN(TEl*_09bmw*IyMrv?WgM3)9{DmwX1k+IOtV
z4d$*kpOc17rK9SI`{k;b7ws{)Kr+nH2G*upxh4dw-PqwytY2)|Q(JSwh3=H6{(pa#
zJJfK)@9+9a-a>pgk5BI|`0VR|S>pa)9{$VA1gGe*FI|HZ6jtO&VfnY**_UB2Yl9GS
zxQn+kpI9#{`Ftbe-<Gmm#OnsL3viN6?a~5lemnNwIrz~}`Nvam)&5u9#ClcNWZah-
znA^ks@EI6yQ8pZhY3~O1ioz#Ut+OZKCP~F%A-KKvL47wobWZm<A6%MPxu*|)nc1Jh
z3CpJ*?05tJ*eIVq3QOGWe4GPIaHh>3hQ&G58Pni>O&*d0ur(LS`(*e_$sK8ac<Pjs
z+6!3yo$M1~_<<cCNi=L@%M)-MzCM#27y@@#H*x&`{Kc342EcQ4+1$kWCz4pZc)>kX
z4)@N&Nwh4-J>Ulqbj^wNx4~24?;gR~y5l73@WZ{|IBZ~@ggSDf|NKHOXWoMgL%lC)
z!Cbed_3yyLFO4;b`8!Ac{)7=cKXu>*F@MKvQoJyL)0>y$uEGi7UOd{c-ZfL<+pvgN
zmcIrpw@*rx7+)GD0cJ%waU|}eHLSJ&qN4)b;9}Wi1@BmIpgaS2`qW(~)}z?Cy6=d=
z>ZH$%T;U8g-Nj?@ZpGezPvOWQ{cHU2WOB-)KfJwj_$N2~w!@)=SP$xYs<g@m*KtX8
z#>0M!pM7@2DqAc0g)p7*{ui`xhIDZeaewX9OW`4d2b*=nh<fM&?H9@QP0SA)3=#Ek
zwY+}AKRB*AVvx9>9gNBxW?|_j#S!9per8pHasnQ@u4F^hhr`=TW}~pgnN_=P_{ndt
zg+BP@&S`35{&1w@zuE<VXpW{M<`25_C8Mpdkr2H$F`vIGr+EGee(>(?)!%T&)n^Cm
zU<c>tlgsdNMjr1f*kt_7^dii%QN&mR_nb`=+k|(>tko966;8^h*Wnw1{%Toppa4?~
zF@I<D)8?ncrV52^#QgZnF;+SOE|xg7K-BBELhZ<&!^t{jONWU0QkNzq5ay0G_7{N%
zxNpuqfse<`KNW(1pI&x#hYRX^%!u`b1z(de2blWpt$PZv<=`5J6)f>g<N~oiK~b+L
zau=SrFHyV-&t3abX$-F$E`%Av%|nY8hVTrdLj;lU@pXo*Yr_;*@&`@ehUlbhP59&&
z(UBW)_?+Zv71&B8*4heAIj0$W0jAGlv$KFrre}C%U=<VF9j<Wn^)>&~uxZK+jWevQ
z9mOmHhdVQCdcl3x(GADpZNCt04|uEflok&hGq>A`$an8?u(5K$oK&7JvGDVhvedmW
z)ddC@B0t|rM&e8X-_0y^Y=>tzuFdQuw%<D$KMkMS|016pzB(2c`xlP+HgklC$7D8A
z??wI4n4S?$0*iG%rDBHXgjeWjV3NZxz6-#yk0?3G;OG-=qeMNUS5lg}x`Fvxw#iNc
zuD(LGa}gdDT74u2M}L18Jp~^=F;^oEGcp?}O~PrjTy<w)qa93L-{GCAdv+4_)^Epr
z-(h%y(~40RJ`=e=sSREp*VnxOd!H=RXo0tz$_$8lRCD{#y>hsID?VKbzTQ;DUIyFe
zxxW*KcPUfTo5RJQiXRHYdPi?vw}h{{esJQ0*<NylT!Pm_C{7%N-I=Y2)Zs+VI57@*
zrnqTY1|C))nI`J5>?GEU@-V4U@4_y4hv>d(URWyjNH#Sbnr0yNAFLA`QA`5Q-dnMt
zh6ihZKUhV7e|&VhiWU~!P_<l!Lxu;H$>6mcDLk{VsXF@$3b>4>;sjBj<pe0`_N^<+
zv1xKm4#D?dJ<1q>MczM~8i1E(nNNL#e@HK<5cOKE)dlY^_{E{$8DC(jC!X>3aI)R0
zPc!h#?jqv~c;Hf6>lDnPs6AZ>FP<$oT!+8s_Nl#r3paRf5a)Z!(xpEgrn1d`O?;jm
z{*r;IaNs&~_7>uqSp%$baMLKWG*OR=W~)0z!IP@4vc!5rF6TT|2wZ1t)y@XDNa@}Q
zfP<?$I#^)t?ac*GxV(-(`xxACd5g*!=A!V)C9XG@%W2`(@IfCYNptwyt6z-<uus?*
zabi7S`;vszZNg>qzhA%;P7FrZ;FHuJf5pMv6uKS8u<ij{hb;J2rGV&lSZwo>eGYtO
z#3ua~98I!LRROz`itQk_Pqi7KsDi^Qot^H$q{^a~>ft2auK$SR;fEMXP4E*f!`+YI
zq5rOjwZogHg|)VDbgE)V2i%^zc+wTNZBFg(g|*o(j5)!@AN;-!!r5#MpPs@>)W7$S
z!C~Y~F8*+j-w4|;cu&2?-!PbaOaA5zOu-bDNc5)=m6YK>_%+LJ-z1nn=4JXSJkxtw
zECCL?nUTB+4|FvgAjVU257QqC7ySO6fxI;vc3NluO$7_7Ny!z%p9XzI7~rZ2>)8VM
zQE~DyCiv^*_pUnlVexKzHaKOC=}9d-o_f@FKRjEZxYh)_c0I2+1eXihWj4U26^*4l
zaF^I%Xb(I`Crx@B{>n)qPh6kXWY@Qa;CK_Uq9Hi=@t2F@a8T~GTg3I<$Gv#|G<?R%
zzxyXF`SpIV9K4_J)sr8v*1oEMbMS~frNum~GA8j=1^#u5gL4i(6kzt{61-8M9JUI-
zd^*ae4NpoK$}huI-OQ|4;ePsnqHUOlHp18tE?A1bwF&!WP#WBX#}7>_GvIz?UiD48
z3wL-dt<k~as`V-NVU`|Fi@mU1+r=qscr5xbClgH87%*uIFWD=HvBO@@45BV@+6!fQ
zR`~aR9T7L!ciXav8}1|Ncl3dG``*9B2}dc}+55vgI|`JAU`o}ks!%wlHDgT>HeJxD
zd<N$gHJhJ;rTF?OUl9B6so)TWFF!g#5eLtD41}J6g9j>AQ()e+O>(DUgAO*8G`L=D
zqL7%+*6yT-XT$A!?IyBt<Mq3tc`*M+T4fFR5Uu~gYPeak<+TbdvG9+p7LNZien1Nz
z<a~Um5#GaD+j1E;TEAi10@vpME4T^YR9MRS3bWfZ+%$%}PTkM$g#Wn?b>4xGydhZ}
zfa#NSeQv{6ica%GaFpnW6$_YRo>6KXwtE+n@c<SS4UwFHb30P@+ri|!cpv|T)hh0N
zvWDrFUVF~L0{X5p&M+srLh}k7{7QDlfry7SH?G0^S~YHX!q-0E+D+z)`OAf2w>vCI
zF}I5XHsIs*egfy(1YV<qPfK=-`oIs>Ij+*fl;&gULGa<(vc$dc^Y1Y_PvK5$^#o>^
zJT|>494<OHJ<b6uTkAN6!P8d`|2zoK-hN<|3{#w~7vzU$3Yd2#!Qri@0s`>S87{93
zxOJM^_5|D+S1*zd8*=AbpM;YPTT^r4l80By&%oQ37FyY`n#x9*G^|@{+fW48w!S1g
z58oEt{ip!GrKUl85msN{H~9{pB3)KegDE<4VoKoz{!B#;*p)YbXDuwja3$<2++%#M
zq6*#^pb6E5d!;T2HNdI=3VMv;!JcnJA7IZrmfbgD(=(lyTVdfhY~1%?dPyVFPcUCg
zALj#@<*=dcS9nmt*USbs@E$$<1zy;pdfN{EGd~j93%|}=$#sD{-rl&-4U3-*$@YM4
zS#<>`;FnB)r9)tfK9#4V@QIf9QeiO3;JK|oaO(~mpJ@19<J+9yu&wve$8j*PMtb-f
z%rMydDFrsn+oP}oA4@82PJ>%d(v%SSPyxTio*X!Q`Jw3+;`9-hncl!QWVd^$5Pzgb
ztzQCv;%$CH<X_Cjv%015zOsrnBEPz+l95~uugM+Aq=hd~JbzgW=U$`d*aKT~t4%h-
z2NmwLFv1BQvcH>QiSJis*$B6;igdsykLS)X!v{M53V(wOuEgEof@iN}IrhV+$YvOc
z{IHfZ-C+>kmDBh5D11BbX6;Xyy_#3_FdR&Evt}IDm}N>AfH%juXlCFaxAe97VUN+n
z)U)uz1Lqrw{PgYo4~=E`@x0$7A^1h~AN5uEp2)*VaX7p;E1JZO_<cxT%qh6<Xjv2)
zEFl!NlgNL=qMSx(;B%k8l%Ii>B$I~d;jwSAFIC}|MpNE>@aeI34Q2Q|mm3cY9Q9vO
z-4)nv=$s`dd?Ws+wFdlP;D!Y^yz}nIv1_nS3;$bQSXJg<gbrNwP^E+)mJaRMVFYVE
z+q*3c&o-=<T!&8&OKzQjd6RnhP2oqvlousoWy$rPoABTf;R{l5ZFG;yeYiS(Jy-$O
ze7>}H2WEJ2J?J7V|21dC5l)p5>{5fb6h4MLf}e}u?9_lQ4=0g%!1Yw3oY&yzONIHa
zuu_gWhaN0-J@AMx%$Os4`v%+)7W?%vEU@loY654tT3-l+y#%i0-Xr$k=ep<*OB{^M
zc>t$9xpL<j%;j}&$p&8byv7m=+j12y+QAY|f&tO+&pbaFS9qf9*y%{vZ0U%!CoHGf
z!TAcdPTlhHgST1RT2tXn)hj*$FvGJ1xg7YY8Wl?nJgVrQkO9}VX0t@W4%zPnl3*$&
zPvZnw%rdJl9zGt;b0ZE8J2hxV)N^%@Km5yt-}@KW6X$1LVmhAzpLscP#Sd=e5t7P-
z^G~#s68*uz|5+**p2;Q;A^NLsF5IUWwsM`2c7{Frm%QJ?eS3@Yi2fQ1S1@XY;}exC
zU0~_WJj2h#_9MH6ec&deV$UhqCQ<bdv46!$Vb2*@CYI6A8(w{SB$dt`-;ZbSWFz8M
zE!ipbFpEjcQ=)yFgg)29aLU4P6w$uDp}Ff(*j6i!mT14|l7W^5%y&Ozz#RUolcV(j
zuF@a4OI%-ifl<f3;QBMhc0_%-9W-*>13vWN4H<F0YWA|$1jD}8FO4q4=c^5B0^#Ee
zb5n}2zk>heSa^)RTj?C!Mc;fm1|FE^>n84}_7FRPH}HoqW<O5C9ar86<iJ5c%Pj?A
z(Jz%1<#7A7dkZgI;xJ!P22Wk?)FtK*M&ZRvjqp3?z!G-&NCl7DN0?7!RDlV;z?2->
z3Qr!B{I?5Eu;_^V1PfdUbKe1f+f~Ke2V3qE8zAb#uNsrQJuro1@Lghl-6zmgIu4VV
z@O&id!xoLX(x31ohll1gY$2gfIt71oY9J-%Yq#TGq?2%1^udrHaID2Ir8#)^<ZbB@
znD!LC@?Y4kxTcwS9%QtdKU;$J!pIyu;YYWgJzIbaZ4Ic1=TEHmOy4?89~xKG47XS8
z?q7vZb}h@lhtEV*-KX|IzBlk7p%T6}GI*Z~HnnXMD27u$9xtMYD~+~$iRb6ZQPm<k
zm`?AySth*uP|OAsJnbE_k9c0Q?JC(|gvozQB`3l`>6_<RVGC7`%ki++pxF7nu%leh
z{XqEO5Bs3~@MaGcdjPygFg%D2p0d34ipWoN{M$OYVKT)~Z6ZGra-!-w0O!3?u_E%L
zqH~g*N8r(7J5C}$vQx9+B(_iZBz#&QR`pH1%?r<NU;A|pUd!mceHhNK+e4-Zi>Pho
z{s;5$Name~+x$<z;ejWj7Mf4OkK%NekHH>%Y>p?0_=L@}0Ic9<PxT)xrxhqG3OlPs
z7ZLR^nes<jA-GCZ^D{HNd8qq|7<}-AjVqBaSBWtBoq)CLk42NimmT)EpN2>0R4$Oh
z`;xA<pMuFmscy_7A6M7XWtE0&f)4GPf!Uu&vJ%@jyA1FT68ZbvP-8jxE#-1IQ7?}$
zem0hZlaurQ5%tNlq}mJxxL&s@iKtIlT}CqGVTSWO$E)FnTWzz7@b@!P14Mny=twtr
z4rWtbTFQc7e4dj~g?S#*roD!ZsTofz!%UH8CtkwyZ|6KN!(D3*BSihx?0d}f60GVb
zx*h~yPTkR@1*`2=cumxMrjkdSuE5=vNn(#-vivnhJvj1g&QA~6Tk_Oy9a#4Coo!24
zkc(W`0G5}u$uWl$n7DQIVZ)AgNmKZ)#_yz?@X<ZJ6F1?sy_7GF;U#);dp$Tht7*av
z_6n9dLe$48az7_bVbZA=`RZ_uaH_C5tdkvYbO}}~?Ge5Uk0t3jNx@0XVGdTXZ-_ph
zB+N^b<zNAa@w_V*feUI3YwTch?NSpVc%S#98XLGmjb)Ap9*p3jc7{nRnG%n{T>LWB
zj_?gOYrz9BU-*Q&2khK%ua6Br$Ht=J0>3ZgU!;b!=gOiU!(x%#DO7O4XnT|=%qHj|
zytPKG_gW77!M7D{ht^@*9`9jacuwxy{dt(lgp)Uz*gn3VZ4TDDpu`&hXEgYn9DxU9
z`z^v?@hf&e24P*}S&I-@%)8UF6P7D<Es2EF)ZTM^g^N?eN+RG(qldDZVbaU&Td{EB
z^iJJII4?|oD+<1@(Pr}&j?I35J`vvUUvjV*?pyCX9}ge9%JL=~7PGn%lnVEK-ngC#
zJB8i~N`^y73@2a0s)hsKUc>*D$weo^Z#K5SrNL{O<b}a7{+Y~y9GLpdPvbyXZ7$*f
zvAx#gbZ2KcFK*K$5AKWh;dg|yUhTS-3+MKZmsr8k**00l@P9&ew=7_H?x?JM!jnGk
z2C!Dd{J&E8kcIIveR%#L>wFO$+I2`#8Lpx*m#lzk{MQ#R!fe^kB#G@u5-J(R;Xj+h
zp4D)ldqmYqct<srS2@h2pwoL8o^n@hdJl(R5qNSCZq>7Gs)Bjzrd~3_T>%A*AK~Mq
zHR=qoY4|_J8d!K>WO-o~`LH6-wFX#0yfEz_yxOXHtqx9~w66IMugtk8Hp6Fa6)c9~
zb*IL}53ot$4d#z<-{HyePw-AXkq>onjuyu+qP;^Je}@X-)d%9oKf}65D+BZ3+xC9P
zn_$bvo|94V$34+@?Qr3{v>y@hw=zciM)=IeepVZp<{wifu|M_NM7<TPDe%6s9uDL!
z_PYQ}?Jc5cg|)aIi=Bf#n=~njxE;^*{X=lpB?;9QxRSq|jT_#h%X*3Eub=b|1B)xj
zM}nuqiSuEnyBIJJGq4_fUI~ZTY4p{=O?!Xz6Q6gl{z1Pgc#pmJU<pim+0yheY^fo1
zgy?S(dWAinFw?QC{BiJmHW$0OWo5bi+BVA+m}f)(@L#yJDaD4kKXO-(WxRkHJvPdS
z`$Nrjk4`i^Sn;}?xZe^A_@3Is8H|ghMBH4S;j}G$S+{_kh*Mc{T3mr^lxLNm!<#e|
z2Q*;H>|9lUILI~ZJ_p=w*840Jmfv<@+Yjd+or!jUV@Ph57ULyd&L<Xz++p|aE4K^b
zenGoYOL!xXyWJ9IJ8_f$5!`39$ITqhIk+ZxA6C@9-YN<I`}ft_8V=jmaF&2){Bvy|
zz-~RWhq&Nhqpt6W`OGKrXZr#8KRNPBVt<A&#gyxd%5ov6>&b{XUCQgi75KFMP731q
zi=P?We!&ahKPuV7UhQNqW3Zw4E*0W<aj)-2euKUCy$>bk!>S(La~-h2U(+z+eDB@}
z`qBim@$c<+gJ;{F+#6t(ZzbKt{8(9@yR#amzGuwg4d>jCc~=2{94F=Uf@4ctFBZX9
zd(usa{#?!|Ud)HncrM<00@GZZ^m+|5*#3G=j7NvxXW>`yzi{8oK$!9cMO6Z<7tN$f
z+|Sqd9QYCnFaGsbc?VBF_^uEGe?0VaY7GAS!$RjN?3aCa>KDAle!M9hc1okI+=S2G
zl<NqDE7M+7Y{PdIHqJeVxf@Of?eoO?Z0h8tV0c*ib07=ccRZyg5~g+^OFjvEAKJDL
zf(^8TlEq*{v%=rR{w4n5rJC^JhW13F{qSnVQf)ZoqX!cazdA0{W(|ivGioHxPjIJO
zn-%P?TB!XP_M5z;>kgZ^2IslKEs;XHo^aW?#Nj7!TFO)YDEOnAiGT+z`tdq{4E)uY
zHo*^;jaqK{01K)t<v76%fBKs~!mlKwxQX@?eYxwIy>NfbybHSv2M8ai-wUTmAK|(I
z8$JH0ei$|y#<!gCICGWyLHL&Y2P!T2TK_99ad?e)gZ>g+Y#GgU3O>5yZtOYOq4j8{
z0-PA@x+n`jS7FMOhh0DY@e+q49W?(c!mI9cLZ@JrCYiq%U<M}RN<lb`tHe<o4p6_z
z!UuEc#XD-kS|>VExnR|~9TYd=KamYv>~QtIKjg;n-DZhECRn2<k<}Fz5?q(1fi?Fz
zvO2?NL6)r~a2a)?ffro&<Eqovg0h?=>mvgX_(XckjwSe`S#<IfI8CacXdYHnwoLYc
z6>svM{R1nFr3*&Dn<l?w$KjcLN5N;XPM;C~5d3O0<Y5e)a9*mbAKo8-<6#sm$XRIe
z6>d0ZQ<4BjGzT(%fop#5D|rD|6*>vjz?MdQa<AdQDjuJ5*zD1g>?`<9Wdc(nOe4DH
zoeKvav#QR6M>rb1v*EGe3Dpev$*GS`h48HG+toB!VLq%WAGRSEei9GQ-wtFbgNqi|
zMPuQ}WgUjMu-SgQ+Gp_pIJ)n6uD(AG;AZwFk|;z**|JxN?3AWZeM?p(Ga(5L8b)N#
ztPt5r5oKj2dnBanl~sPP`}_0xIG;1_x#zymx#M$hO20;Q9lX*-zB>#qvY?8tg{=*I
zGw;C^K0o$#z*XWTWOv|aqZ#|!;Gv~kk3HeNKlr_uVa-1ja}ID5^>y!6_-t^XjT@X?
z&!$g*7tc>6+`Q@p(^=c;Gs0Tk^S$n{Ux8>R5B$nhSmp+-)*aHx3$yYir+dSpM%TE6
z;LlTX$BFvXIh(l-z%r_NAN}FWm9H!%U>XNC7hjlBgyVt~Y_DBB76e~n>YY@FS*t#)
z1i%h7dOtPcHZj%w2XMH7=s|rr&h7oV5ZFhAT*3@qS`XQu4Zkp(b3F}D^;2}bga>Pn
z`Uk=x=KL>-<EJ8NxAJYcXt`qJ68!w4sah~BKAS5~#FM*gZ0mk-!b9B$MEvruHYbgS
zgXTU?tiaz`igXj<<-L2um*C2pMZI*mJWBExJ>vZ-wliV5u$l3_C|Xz`(&y<LSpVR-
zl{oyldAhq27W0v&7lo;<F7|$aYr3Q^9f8*(dU+e*{47r<P55iW!@Vsqhd%GJ8LZ7g
zb)^gLdS;bm0_WUuu^WQfF3k0N!Hn_i`QtFH>46XrSgN}9^%QIsRO1i=@0>sPXP)@|
z%nDZ!tQTmwwg}hiYCa5u+edp<H(+`e=fjU+=H0DoTkws!@~jA$&E?5{i9n+N!Y>5E
ze0@QJ2jT1l)9G7q*~uMtvhepUn`ojvI?pz3rC~D~J|P#l)7Cvt5#G!^*x>|^d)mD^
z3{P_Ywz>l6@|{%Bg<pzqm)gLE?eg+kaNk~^PE*+H2jd4*_?GfLF+<odXsg;7u6eIr
zPV`@G_ori)un)N=i#l9->9zhjSiFxkQ69d%aJ}mq%&N1nDg`@UJK1>^7IrKO6oD&b
zsV=y~$4H_E1Yw3SVJlDAU<2=qgikB>Oa;L|)>AVMzzvLrKLg>`!E3U6;cI5;WiQ}l
z4tj-Mu%n1)X*B#tv8#?5wjQe4N`ze>=D9G!;twJ=<KZK$9@~_#!izqQbogAlaSl10
zL?*04q}y*heILbmQ+Z=`Ck<vy)(snm->JX#iGw?4ZR)CE?(oSEsqlJ&qDv+GB9SNe
z7VODt7D&WjX(sxG0Qg(=VM%5<|Ln$$54^qCzL$uvCr%Da6Wh~0V|s5HX1v!W;S2YP
z1{@;d<uGmj&3mvg=heO*SX1wn^KCfbrU^?aEbii6Oyn23E?e~mo)`8l@`o)XU-qQJ
zH$NU(3x=Pbdk~lm3&!fL-h~Z6ZzVo~O>%Z9KZN-OhYX1L7W0`}={_9d{=AonZ&9)}
zzE5C2cK3UC;kNy?x5MD>&k}66VEc7ZDx$ya`o`>tcoonsydxGi8A(`kgay^QkEOsT
zPTWkhhY!!S>nFkY-%3bdg3AkUg}o%wZ;%aH!?T_@9ufW7=<T&`0v{`2Z_kFcY>uTH
z!Po1U+A`q)(j787aK-6Y>;>>=k**;vn13>bH5WdXVz40vUzk-mRRn8qa%M=tX;)<|
zUK9B{J7t97{>G0l%3xEc_+df#*}n4VH*l*3$0i%xwWc*#37hi|X0X7Yx@CKb@(MW{
z2j`ZKX&4=Uy@yE8TX=eZ2If6nz+DV87QUD6g4fjet=_`%Il)8iaK7Wgb42;Pr4Aeg
zun_mNL?S<LwakZCaEg9hd?`HNoi-2$``N9JzJv3a>_T3^Gn@3oM0>4mo=M$-y|SzX
z-owS^7K6U9($nkvi26P<)~`9j$BQcdtAz)jhosrVM=P5yRl|Fu|5Tra*UgwR>*0T9
zW%j4x{oeaBYGB8|LcvGjfP0p|8eoo}<I+0tREzV^Iyg)1gt09A&nR8I1>SX*WkU+S
zkd`Ob1RqWQ94rEV_aD060q6V+kP(I{p3OUcfj@m*Fy0BD9^)$f3jaHvy}<_WN!a(g
z6P|9j388~$40KldVBQo?SsHk)&v3a1R=V5zfdoD_Zm%!`+eZdC{#(R)PVdIyA-KFp
zX>$d3%YSrh9G(&Xov{RSPCoS>gRgd^%KnBuvtPdZ1*h4Xjr@ciOLD4y!pEFxokrku
z-ET?f;YWJKyN2M5l4_D!_+p{c%dc?FQg_G}ET>fYuMPh3{%i0C%&_A2=rg=?sK1Hy
z9@dj-oC@`DtY2^AHqz5RbktSBrlozy8Idl#M!%;VuF>f-qlcBQG-MaR6YoCva>JgV
zR!MVV3#E5GTyS8}o5!i}{BpXrFzn0vbs_<_vwUu~AAZ6gaWjf=`Mp$e*u0BxZv=d0
z)h$I74%Hog^$=#ux0;ZGU6pLl+=s*88;?uCJ&Xq?{o(&4I33kstuK;lJ}}cEG6xkn
zcWI%?6;}K)l79r2uXgcpf!#_Q^EBalT^Y)2@R`Q6MLpQ>L_xt7So}ulf-bD0c0=s~
z{AKi_oG~mIHa&F?R=RLZ))3y&m*-&)CyMU&G>3&8gapjsoLi(GX0RytRDmAcoz_xu
z8ooPgd0rO|Y%DCdfD8WZ{iRBnhCJdve9d(+<{<14{q<Qe%<NYwydO^K(B_VUGac-F
z_rkm;Y`Y?0s|HzmE|{vxEhz=Q`n~%i8!RNJk(dNaJxQ6Tg;y7Te}4&AQ_sax!@nhq
zN7La<u1XOSSU;2W+8cOs^qBwV0>*Dw{nbKvOpA+g34ZwaYEC))Jp5ewJk0Y{EV~pg
zu@E`>6K1BkC{+)iYRiZpgI$;QNq&Tbf4GVD!@W7Bu1&BfLqT^BEb8ojqXBNX>vy>g
z_P<9}(gq96l`wsQ>v`+me1W4r1;y9FOi#_$zQX6-D)nk%gKdUCo$zx0!|n<=^h=~t
zKg^$0b*Bve#A2q{3-_snF%`g+YF$1fu+R0XidV3jMcAz&__$M;UOMbMOkX_?+m2N%
zrNEWVbyZ{V1?@+7UcjV9>ZHHnUz^3^(Xfu&pY5OUzjwhEkKw2?ha>Yad3oM{p|C<~
zzs58i<$nB*51e^kKX3`ANbwN&hH37R++BbJ;`A$A;3u)y>epZ=T8ICx!#iU5>Q-T@
zt7=PE;4Jz;>VL2s=Y@pJu)?qc)fOz=Eh&B;-pr3aMjnL!Cp8#-I|Cb6lIm?EedzYm
zq8@yX?CirGNY_naOwfe|l^GvUz^9`}#nfQSVVf2@*kF6TTN#!sZD^!|-|{Cdio$K}
z9E?n`SY=840r<Of13d%$<mY{{y>RhQW>a=Jv^Ktb4}2)p!-yG9JE^@$4}0G#eZmO~
zUbKj(g^y_Qg|Wdo30r0B^SGY=@>DxF{Ca@?@*g-a!J~yJuVE~ZVF<n$p3ckzYimW6
z^~2gXn(24Kr}$|v*1&&O=S=p%N0Yf2-ow%R`j2tI2Yt_LC&0BP3!y}QUwZqwSeQRy
zI)o^HvpY-38(wu=Y1$2E-z;nQfZHcYJ`wFp7hj~dfc>s*(GcmGy(DkU;RrwD9Yp!0
zBG)XH;Et#2`b7C&tM1ea@Q1Ky9in|Vcn4qe!Z}iYAw>Jm(*HWo17GGC4kY?xoZff`
zIlN21@)Iwtx%=#E5;*aic^%Oo0}2bxb931L><6g%;a1O0j~UqK*%Jz)KAQIP`?}zJ
zU(OyCfE}c+G`GX#GL1)w`WP?Pxs|~ONFD?U!oR+^>@9({3`p)0^?m;>+875XXBF4&
zhowWM-Cn@?<>zbn!O4_$PwvA-k7;*^z@a^j%E55O&HH3TeQgT+#~op@0dXBsSXNy0
zi9IZm*{dZ4e;lgFISXG5cDr{FZX|zaaT-o{6Szy1XJ~DF<0xF(Tv{gyFO`_=(Shl=
zHEM|R<YqGJ#o(^VMha>8?B$m(A~5MQU$R4R`-WU77hJzcq9X^#rphYpgw?BywWQ$X
zu^Mwqm^oVVo&s$5uKFJtT)_G94pE+NBU|RwEaFdq>_<gdxsJ(v5+0<T`#_X;Rz1$C
zoAAsj3RQU9K5ADNoGsP8Een(S=b9G6ZSSSDRNz0A8JqdA=~AznJgjH3oE8PQvWwjz
z^1sWOF^PaXb8CEv@&%hVgKiM{y?0a-`G3i;NIAm_Bi(O__F8s(8(G0MLTuaW@Hf{R
zYv<vcc|W$4;kCDa*bL!l$6e}2V9`f2@AToWAEauUFoR)%p(cEvOxj-$K5!xRj~aZ{
zWS5^V-0yego;;l2r2WAN{?%n6DGSTaioQ31?N4*R6NC9j`)QqF`WG?md*M~hVj3qn
zO35aL6V?oEGjM}duc#Vvz<A-Ep$GiE`)2hXxG%uwWCTpjUS-D)r=5+qh=L7N<_CD-
zQO{3(Y4AyRA89Ul@Eheo20SS9DvhYmv}g}+9&A41V8RPGT~FUz2tVj<l#zh<pZjpJ
z9Clp~91@3f%V;lG!hF(&rgHEP;UhmA;D)GO8Io`weZ*7~oP1fEOA)62???V9kzYuY
zOB(JiQGY!KKYC&NKnb3{dP8mzP7i%KOq55e`Bi=y?v83UBl>g4fXmTC!T5g#`=Jb?
zzj701^dw>ZT?Sl4e+H<@#Ja$ep`1JU;Dy%4I9IqfUMxfycGRz(cn<fL)%5R%yIAdi
z#=r-kwi^k;`K2}vnQ(W{=@cTr3N?#UHaxBKANv9LXx=}W_wcg;7PftG&kxtbAK`_Y
z0)M1nl5o4q4)~;_zrjJ+JN#f(7n~3rR7GshT^<3=F_?F$gN69Lc-oBCILw&ReV6E;
z(!^fsP59cZXaLba+!1-Sf8jwbv1OuvBvQlMSVQptfwFUpGVoCf*A900L*ePmD)6z(
zT76RR8Oe+EM0z-<#DEO!J#yAp8D`-kP0@!ZG8BA>{vuIWOErMaw+_w{`6&+N<=Dd6
zN)3@jeww7hS9UPJZUq&Q&iBN{)gRWh)S)D{=dF{!TL3)9AmgD5i-{j!e*(AuXlqn}
z7oXa0K7(sS-l`DC$MgY3zht=4RsRW5-XO=RJE<_Oku;eOtd^@@n+;#RvzVg=(*y;5
z%7as1y?<;DkBYj|l)#gxZYi3<wVZKuW$=$|>zp%i^7wtDYS^G+=gCv>iJPS+AK<Dd
z8}-ETEoYzc^fQr8nd@u`zl-e&Z-ft9g?;}IrmjytGXkHVx<7mY)*H7yH3aKfW;<HI
zPQOfJ#$iVRBhC|W^$7d(G1zk5G2H-W(_ZWO1<R8&nh^29lclozC%j)-Vo(F#>WJZ*
zhl@j+gNX6$(8J3<4WE!;N+rfi2kYv|C3rGF+mIOF7u0>s=HP|xX<Kgi&7wj0D*UJ@
zh?O{giyzuNn1$6`s0~(UF#cx*npfZ(@+r$p@WPp*PYW<x+9>lF+$ZZqvko7R^Qstu
zt8*L3i2A<ReY^Y#PT1|Oy#ZU@b7HK6XI*oY7h(6<N!?Vq^r`V}B7f{B-}xlCVDPsm
zQJ?W>IsFs3^JZ|x7JNs;q$CuctNc?$w0Gr6hV@PO(qzcWU)Yybnf3<E!%H&v2X0b$
z^5!)BcQ8nD8%`e(xL^V6Qc#K#_0{#bQ>(&-r|;O4+(&r{G=)m=LiWL{M14UF8ec?U
zYOj<`a-@IR(e5D(TQ8cV5#<H&Qbp{9rIf11cOZT2Sd=O|{Ibt}lngGRYd%8`Ys9tV
z5n9ZL_GidR;oeJkc!}ThehuTBpT_z<aoCChF1yOzFaw7ulv>ikV~6EVjl+!{%!#b<
zRmOKDW3c6s$v9@%Riiho4|Z2k8RCS8&RQw-z?TDA1~_0m^k3f!pBk{)vj-M5`ggqr
zPTrK;y&GQC;{Nv$4pI4@q6@22O|F)}=e+sS_24D9I@@a4BKOjS39P+eg0%{MeP7^*
z5!{w;mh=XGOJ*v11AbpDF_#Hnh))o|2{(sO+q{NDMDlJ#!@M#<`RTCv8ok>KSh4xc
zzC3vFxQ}lad_Z>9E*7pQU-s{Y_t$+GNQGZz<kxS&7V$?#qhZ^Jha0xwze@~pNpM}<
z-VXT(I3MfV^CJ}Ay!fF@0ggW~a54%Oj_KvlfWH+r{|krD&&si>!4@Z(LLb5b9`@bl
z@ZFl0;6OON|9z(!+?mF@(+5^&?>=b_58v#*>H*K&3!7hnpJno_I>B`z;t~JBm$%mw
z9N_0=K2I;f6p<PSFT>VLx7cpLI(rv=t>C_$pP8LuT`DDpQ*gU%jhP2ruFP0+0(O^V
zFmZ#k11+=-;U|u(ZFgbqrj^K}aEH?C&U>(JY7UhtT*IaQq6}Uk9Zpk+6X~6wm%tJw
z5;BM3a7v|Jb@0EHM}g9??aY;(wQ$zv5UVKsNmMYp9lqiuad|(SzQZW86~0#&u*d^j
zaK4P5hFSjGj9`O{c<Up7!P(Ph0(5Z2mB{V|IKF4Hi5h;aThuuR3)iTfC4ryK+-Cm+
zXD+sr{rio0oBo1j1?E!|dAb7cUl9x^e~9bJw{^eI!{y1UPe@@k?nLLG@Ljn|7G}8o
zQT~T9_*!=>BO}ani^jAce($&1CIEZ8-q-Jf`z0y9?1M*B#=kYezpaZIMPNLC?B4*V
z{`x>C3|lo-GJb&f814#{gZX;Wt=_^X8}~hsfu}0SXNzE4X9qehSax$nEgwEO=1i>t
z`%7rFWWbhn<FuCWh<%4sJUsV(n!yS-^142f4hwHowBCe!zPk1%!0-K=JKW)~K@0{j
z;r@Q%ui<cdl+-kl-#1^kClU_YthXe}uPVKMCJh!9(9BDQPcTQF&w%&r?&8aaIR{1K
zU%?F3w4aIclDbbO<-=Kuaf$`7N8|625?Juam(f@7pUb;{l)=|DE|{0V1Ac{q?_t~g
zhnvLqo~fJ=u7S-ZxE+c9(EICa+W>zfKf+M~tGO;ZwZIy;&aXAXO7Fw+yWr?LzogG_
z<wi?kH_TQ=%i0c?I@vD`!jldn6<=UK1(m;JFo*O<Mq>Zoj~!9{4gb43P%;j)>3VC=
z!QbMhVpie3Z}{)6!guwyG?!r}8n=)&IE(jA(H6{{z}v75*GW7+w*gxm{nASQ2-kzm
zBh`rUd1CSwGaYQu7e7Ia&m!esHU_v~nC~<T97h&%f*odM7a(DR53Ws}+6hbiNO9qW
z|BlB*?}6LpQg(5`AALyT_+ZzNy$|=mrgs@H$iaVeDevxtZSVTo9EKB8{FixQ&Bs9k
zMzHRx<}^`W+8U{_3EUM{Zn+nBp&^^P3@5XkI=Ktx9tfVk0<#%4)$fA?7X0&kV7hJX
zcigbUL6$;aSZ}acLIBoZDqFk<3wQc|Bg(toX0#d%x5&)viNMO!@g7mIySi7jAY5Xs
zbSoOplAfSB2tP{uUYQ6x>!rOW;=$R>yVc1s)jK8u8TgCfL6R(3P_dy=5?*ZRAkTq!
zO3A1w!v7p@YZt=7EI-HO;atx<CS@?sH$DX-K55a)JgJ5SRKE-x!R(<i&uifzmzbIh
zu!4w5Pb0iysAYE^Zn{=8`~|*dM`Pp&do%m&?S@q=bC>PlX~r$#KKSj2>)&p{g73?1
zN8z8r41Qkl3w1w-G5D#j<NO`?1gF}oU+_Pd9npSp+s>{xvoOn*8t*4C{d&~O3f#QI
zf<Fv?Q=<5H9qt%opiG1vQ%TfFL$SVJkIjvPi@hG`Q^C|<GD(Q}a{0vR2aNFfYm%8o
z@T}?KFlKmQJ$Tn!IR5yKR!;cB2JMG(SY>{yV;9W9U?W`vw+DorH~_~TJbQ<jU-xIY
zo)(3}J6<i;!5{esxiw&BY09a0aBFS{uNJJ}b@J>d7!T0=xCv|2%*_z(G5@16asyVR
z%kUxQSMU3kHh18^M|GOA;43AsEdAg^V_RpE;RWCS5`y4s3r9(b?Jc-x@gflZJiGlk
z3J%Yu>3<08YUv%0fJH*ryYItY$t3l}{AtIU$@vtHQPOq15BD}lu|0-QZvETzhi?~X
zoQQ%i_Gza2!cE$TOe0{ue;ZQn@YkTuC$VtSKIL9lm};f^Q4C!2a`~z~d@ItrB?&&u
zEX{Ncju<p(NPuJ3e#cwGo&%FK8E|NZkPb1Py#KXRron6TBb_JV&U4pvb6|}hT(`{O
zx>Lusvf!^zI%y2xNVf5S0@$^I`n4Xs`*w+UE=+yK_X{z9rWI*c7QqakUc1S`D*HrB
zU&D;q4iv=kbF8G`PZ?})8J|NOKSO_?FO|U0Qcf%J!)^<^WZ%K2u|cDJFbx}t<XbpV
zOUs#v2Z#Q<?OY32`8#qF@uklCqQeJR;(<s8J$##`Kld|S$Z*_<7Ur3Jmst<%c`*)<
z!uG4uQ!TKRmh9ba#6Qjqj`1e=H`4;kADEQ=-u_NljhDTgh@Wrcuk34wcN@1KorZPo
z+HHE^zT}13DR}3X*OuLIzfAt^QTWI@XTl&%(b6n942vKB6Vne1e|S*T4U>L2-S-{-
zn3#T+n1Ac?c6JQG=icq}tc44ToLMJepAIEHV!nNR$%OF-ytK9UstlI+lxF-J4zXZ5
zNz6wwW&y{h;N4>_W5j$F%GUW{9u^H4eUJlJc;pAo!b8qUyHery=*{{S*#6|}_erq$
zx9*xHSRupNBpRkV#Y?^kA8GSljf6XOx;9o}q0GN*_uv%`cIAI?4Ha!=0PL_ZE58MQ
z3v1B#hAj<5J;=ilpJY1cJz$1za#vEAe^0pIb+|K3sfZeGrg|ad2!B{&&EEmDn4c}a
z3|rCZ%rU^acQ2g32!|cx`Ar9>N%H+Z1Jiua7h{8MGWI?@1^e~!3A4cc#iM&o;DLO-
zt6Z>%%g84~I5u_9rJZo;_hbugc<7sE>K-_9EdH-1Je|&wxEod}wR)roKV~%N6NPhQ
zjQeEa@J{~S2jJV)EZ4;0ee;R2<}f$?qvO2rUcb@Alkg{<+FBuavEzt!I^4X|ah4ut
z@&A4<74|)(ahn3Ja;rc09)9Ms#ku(l@x=VxsdsRHWk<#$tj3}Gt(o|JHP7-4O!~W}
zqY-92zZ@_Q`^}~t?}Zbiq}oQ{;YtbPZ?OA4TB{y7igc}I9H#lBl-mg>*ZVh&!NLk0
z%1!VaH_rR(aHd?{p^vbwNlf4$ShGC2suKPZuT8PzG3Gbz*R-YZ@#{6)<nT%E$1!>E
z#<sN|EBtQY=|mQMp`p*48D5}paZ83J^eW0_VHMA}#gTA?wQ#XC{9kRNb|@@BmLjVO
zZ>`>V8UjbN(n+ero)M?^`omWY4$hr`8;ftTdBH3$kAEG9`y(%=IK$`6W3p`Fg@?A0
z*9eC#r(J=g^UMTo;9cAkmwe!CFGbF?@FP1VD{pvyNHD_;K9TG(6avpJ<t-Y*Lcc!s
z2EosAV()0f@5#cV<KPUw<2O}dMVoKoFW{M7n&fiuw3TgVGOQKsktGdh#T0x=gp<au
zD2T!?&p#RE!5&GCf&1aI20Hy*Sk9!9Z4W$5v-5KWETGM5%>~!UTGW=oYC05iOt5jO
zxz;Dx^oFrA9o*aZShWuBtkY~HgTEyDzwLx~i}~&RH-+`z+p^Mjn55k`eFbhw5c|^u
zcPxh*EWx*;E-rS%4O;<yzhIB^sxISjuTY-Q1iWJC>@Wt)-$^STgq0<Ga(=-#gNx7g
z!-uwLUjBq9j^zI8fE&~tC+6U5Pb!|Y!3q=cqciYK-fO<kFr&j6>n+$zw9dX3wx<s|
zw*lM4R&7+kU%O=csGnfGntaqPfhC<RzwUtRSl@kp1<QJEn{&V(+ok)m;5a%#6E;|c
zqo^PW{&|s<K?GJaewq>kFVgW*3&VvOVNy?F(!FUxa_~UG)!UC?m71zMGI061EA)Zz
zu9w%<^<hIzwtqgbsC9tSQF!qXd+1F#Zg%(Dd3g79imxM__)d7~EF8j<!SElv^r&sl
z12%X(oOTW_c-ryH4W3#YmobOum&_-h!L=bj8};EA2MxbJfs^?b&uGFyI%Ru`;o^j=
zQF1U{M=DnleDsXl{)6zj;=X4?uwMQFDn9sIVM*u!%<iikwG)=mE2jGm7koQ6$^ySo
z58W{ZZ?9c<rh$Vw{R02MrjPDcQoys+=6)+MKS|87t)CcQYzI{6o??AmyhnKjPUBgT
zr-6s<<r=494u=spX4vUP!S!Eol3A`ZBWzam`QIq)vfwex1G6m`>kq>F+tsJIVLz+Z
zo-SDOs%o+kT(OvR;UmoWZ86pW7P$0&rV<``6u#>$T;+aUp%fPQqs@LAexvy0Qy%Qo
zCSvRZ=iQ|xONAXDf6?=X8|@^XzJNF8B|fCXR{H{+AHmcDb(N{G>Ym)~yYNl3fRguc
zm7`vSH=J0(@cJEW8Sf@=0}k>|&FP2F?(8qMg}1r)XY|6gUUWyT;RLr0n>qN|f{gqb
z__&1I`59O_`bwQCoPy7Rb3McLZT+*UT5x>9u`fH}d5UM!O0doEA3K!cv1(!aLvYUZ
zBczJ(;iO9&`(e?HR7FcT+doB`8~$<MT-^%ZIb)N`4_{CgQuKk@@I|>@@b;xKHD6e*
zU*+XKnEdVGjc}OkrhO!lf8pr%b|ie~kiZTBcvF7ZCk@WHbk~Fz&e6^b$bbd%6y6KL
z{^jecZ{aU*MDzGyPtndJ@8Ek01H1=d8}V2879hss4R%|iJRZKV`Y-VG@7f+Q*y++H
zMK?Tl<;-mn*l~4)wg=vCLp3V}ds>?455ses(a$8{+9!%8qj1|>ZE^+p4tG}QPxwFb
z_Lp+-uG#0|zu+JLZgHu>_g_$VEWlbh<W<VBE92I;CHS=PtApBb=%C}yP57>&WQQi)
zyzn2-UsyuEN9!2;WUS{bML4cc<XKD}g+-&kTJM0Z#QvTl_TS@N{X_<sjmBfk2o5GS
zNN0k_cknn`z&Qmn{Jij$A7mwFaA2^?fxYm8OS;fmSdstr6=Ar{g|+Dv>=pCQK?H8~
zD^e!L&#sf1Q-@*aWdFc(u)1;8oFXi%&bM+2-g{m8kS0uP;}>HC7f~C^9)ZpLcxdg2
z{Dw6*j=>{4JoB!?{C*^U#&BhE-eXTVu-?1sBrH-$A?ps4SSQw=g3GlM(tP2e25vGd
zxHoN1&j;=$*QU0C$BTo@1L1>D-s{@JWw*O51K?M7vxauCER+402k;@9pADXH3*KNF
z1Q-0br_CGg8GRTW29Gy#7~O{#=&0N7!**H6%^$*kZ(}r`!3tmX+hX9IR+RTc;TpNH
z?pRnbF=9Ouc4MUFNQG@kKgNf{;Y{Yc)8UQ}W{h$0ZC!)tB3L#v)#5pv(GZ(Z40Eg<
z`jiNN73Laz3(NbM*~h~#3>?Sa!48J~{ps+j&@0w0@Dq17!DRTLOzo9cSgiX+L>64M
zQzN|_7WOGncnOPJCg=3P9Ovb;^5N-=e7}a_qN_)ZUcvVB)2m~!dyL7UcX0c<liY72
zeb>1TBA$sI)z_MXV-8srHN)~JTK!jH4}t$qHNp>VN<uea&)xqi^utlLpJ{0#aQ{*J
zqJKBMJ6D^94sHz@o*#k}_`aC1!k6>DMGU|{GmS0S;gB2Vl;iMM_KThT@PEVdMkDaq
zy}x<|;Y#U(s-N&%uA5xq@U~a1%>>L)N5Xdqer&|nF$+g2am1;>HGc<o{ell%%Sus$
zeXNf^ScJ7FWJYyhy9UWa^Kfo)^W;(Zcy3z48vNzNX(1E%v$wC-D$G>3B5nrv4$c?;
zgQbH4>`%iTEcF(|d}H!l@Wxq~aYg<UF(2(tP@A)blYF}vNr?GM>gS3b{Ci%@j~bq@
zeel{Jc3XL3M+$RPs+9%6xs+Rd#QY{D-{%?)n`sHvlfl$aqrG3i*7KqAbg<ITmwz(h
zWtHEzcfi(lj{maZKVGJ@jBtbrNyU4ZRzR(n3cmWJ?R^d0{5Mgb8P42mvE2Yi9#xrP
zfSt+2b~M9QDRGv>{EP3j-0g$?Pkl}!=HCTcwg&?+pQaE8H%!kL^LY$*&n+(Fgark?
zTgTy@J6T2c!i#4}8E4?ZiMZxHFdfMx`yA}u_D4ksJ~_AY^e_A<oFs4`+{`%^y$w&(
zomm!vNt)(47$XtSkD4j(hrhaw^Dx7j#xHY-^~2Zcg&1BqlJxQ70ho?^Hfb+>?fLhM
zQg9&S?OttoiD5LH$lvCDqeBZmd+3<}(Vm))!O+vN_L*1)Vtbj-H3wP1(eI4oiT-%R
zsa|IZkG@aRAo|<hSNz>MI40yo8?irL1kk#M!RD`|j}qf)x3-k`6C&NvvvdRIQadY`
z0oQucB`?8q7ayu*!m`CiEW~(ew=pg+fy<L)PyK;=sDs~^!LbhgpSIzr4L|=?!|6+#
zc7Ndv7NH$Au#TEiKPBpqS_;u_fJ;R!e97UefkuNSm}TYJEYaTK;X@BP;A!3Lr^I;L
zW9Rm?3nqCwPRa^9g!Q%d!)khKX-x3P^8MciVJcQ>4lY=A`yt0ToN-8_i~}xi>gSn+
zg*-hE@WL}anK3KySVyqaF4$iFOy)Wqvb1O{3hNBlOpruje$!Z55Qe25@0}%sKT!)`
zl!W=uJQSyeyDRu955a2LGcxorCHYA=c~~p*%ndf!iQAA%7Je4|-irg){O%K?0;h!^
zEaQQ<FI*Q>g2jbns(Im?840mku>J|EfBWIUkVk47F#UZG$^&q;NkyI>EdAe!0C|{K
z?*8%-*n+3|z5;CZ;LT-2!c9t_)#3KgNUCFSl|X5$CY+A<VIGG|mxLJg;mb|2+@|o=
znU@>}a0}nZ2dCi^LtH10!@V=H2Q6SzuY_|a;EoS9@fYCU0so$hu!`S*V`tza8w?|t
z;bWus%`d{;4t~52aAw<yRVz4Lj77)^Rxk9pVhht$-@WVx5ART;xdQX?aXWaxTUV{T
zoZu0sq5mRafzzfG#Ckq~Ex<7fR=(_b(-BVY*y`Sd;|~p;Cbl<hSh95;Rz3aYC($3)
z@;wJ)p5yx0rq2K|KA!rFNyfqh44#I>_(-6O6)A)3{C9sP;*D!$kyHh&rpl^A!~>hC
zy@_Pecz#YMIffX|{yM*-NZ{VdA`xP|9~rf#6Ne`=tyYM5Zp^?#E(!~KdE6u7z330+
zO<j2N`#SwMIMsM&Q5zQj%^v>+o+6!<G=v$<X4HuJ=(%CSfn)I3O6t~HxG_H>?KEuf
zT)<ili*9JdS-?*vT2e}2ofuKB|6mS5+lkk(?N|rXB{=DDkUKGdy1vVQ=mPI|V6RAn
zuTr15dmU!&k~v1q-zE2HRPVu=_nak&`JQ_zL-sD*DD$kESg%XH4ZiUJt|&idL##KJ
zC<X08V5dfhg*$N9L6XeJutf}ixF5WJDmF0`PN3Hj@PM<1ZVX1iw*}We-h^eR=)XRL
zPi%0Xbbzlf6__T&N^G9d#QKT$pRQga?5P@ezzUAJ!xoeQ-&NCXJP&6$WZq7L4V&!F
zo`4IS<<|@0n3Cdn6ZreNPxA%vm*@QliS?w-K**som_5L!l~|9mXL1RZz}<BzRw^(<
z#*^faaN*tll*90r3r|c9Jh+=&hFA|D$PH$1hYh(U+(qF_o=o(uaQ}|eJBaoFc6haZ
zH~i6i>LnliMMGD!3;y1~s=x{Fa*KWY9Ttfdzr_lhK1s<Lf+vsPi6w>GKWk5o!vZO^
zs@sz|-{<^1G6qj@$+fJ)YkB|i{)Ugdu5?<4j|@$6Ou>&IO#J%|H+1=%&%>+^c1crk
z)elmGS@`G6NXb#yP$?>8h4_63u3N%Z1J6Ac;4MGL#TIy=K(KfXemOoJ-ULhfN`({U
zk(oa4%7X8(yl(pgU+voI{u1_g)h;FSmq&*Sg~3DV<;z6=zxu47AHrutMmmW6?;_t&
z+ri(x^q7hClK*6~ufoDV{buLjlXu&G>A<uxePTrUq&G|+9fAFy2mPFYh0eJ%kie!P
zpYe}a<d;~_`#XW_19X@6Ov4dgJnAd3(T2dt5BP9Vbo?K<NXo3F4>q7wal)rBH9V_%
zy*gp{!Tjb{Snh<Nbql;<M18vio_)W@Uk{(ibn7pJTQYOFiSbav`qaJvZk4?=_!e&H
zSZ^qV_b|QsNQ|HO5gqRsn9cisa6UZ8pV<=&|Ebt#kxJN2Oz|45md3Cv4tDr2@VPxK
zM(a%y1s7yj9z715cR19B!O=X787JUun&y-sxLVS1LK+ULX&EMtr-*xhgC$|__C2M<
z@kyq3<n#{M*`8^cI6kXWR@TX3_QI&n0C;M*u+sN&T#sY8#Z06RB=q(V!|uAGYefEg
zuQngn!#Y|Nat~oD%U1_K!u}EI>_mD%akpa%oMU#wjL0v0H-sq(UK0_NBFev=n``0=
zzs?+UyboW9zOZl$p8ryKlE^=r?VfxQ9-F=TjL2_LD}2NnE>uwS4usDosV?cl|JHw&
z5cQjm&qQd$Cl0n{1jBTXH{Zy>_pZB+5&bjEm~9~izo|anM8qFjiK-o3uuJN1swc2_
zzg;E=EMPUdP4w4UMi&JJ*eKOaB@*VN;OV1<UE{39pTe^V2R7D!;Q2M18QW+$tF=A$
z4;*{8!<2|m+GoZLhTxPBCqiT3$0ZME`eE8?o!dlt1Gl3Xn&6`^-<K2nmw%^f{%82*
zL}3<D9_8Jmt);N2sn7%w&$KP3or~e1_Fdhv@LSu}Cuy+d+k333@Va}9bPD|Jj>iU3
z-k8kG?;(U4d*##M5-0t@AXq4(LnsNp{>m)P4NgiCzw{E;7Fg7Ah4(oL8xZl-i~sM+
z8Tb#cM{p)Q@iFfCDYzoj-GeBvS|YVn7Z&e-SCj+GGH9OBh8J&q3MbmLbN*NiKip$W
z)|L&I{{E@77ZwSZPD+5?UrfK48N>D9u(Jc{u=VptD!<{zL(ksE!>8hdeHvi?+1xdv
zz6)i-yr1BCmX#i2`y4~}Tu6s6Mv`$5>EZQN+bMA04XwXK{#vf0{QL0T7#&5T{9C@q
z&4S^`m`D4F{*-*7L+S*FU%F>W%nx4TKT_=BcNL{ZDKK4jU(H#Vkt*wc7JSLW<ML^k
zD`~)sC{O5xW8hJ^!KuDD7k->VEu;gJo#IL$%2W4P`zi*TH2mp(1*_yf^ALf5{3q2&
zlxMvW^qdPWIZLzSHSA``r??ZAR@7c4$}6>GJ3|Ra6|hUcfxlB{Z;-+3ZKnJMuyS%d
z_u_Y4|7_ZIp%nHBmVP@2n;bl4Tm(;l+&?e`Q)P2KsDKS8%5D$99Sd=G#C&J$7*|yR
zPs^BPl*5g=5>{n!yV$!hB7g4@PNqb7AFFL6k$*lvs~`?eaDN<5w2!{@Qj!gvl(Bw_
z=#P|w#($S!N6uIcqJNv*lk<+jZUXd_#CSfuOv+#cmz(MRCB}c}{>3<LIN7HHkCY?+
z(-?2+!Uyy>%OAnH6)F$a;MHeNzW3nglo3-J@Y}yd?nHbzFL%dF0lv!=yL}U$ndg^R
zg}MGr{<#64&10ySg?&G@_+N(mCldk`;Sn)@uZ!@ubTF$FtY#jmdJay!*x)P!cb=S;
zI|Gl47m$d-Yy4l|9fK!d3s*_NCsX7~_25|=dLv<2P%rD2CTwP<nIi&!&~kH7g;jlb
zG;zW56VsCNFtfhA$Zput=Cp_`yw1c~&I;QM4_;P=1LS|6Wrppg`HkfWlRcpQGm7g+
zC*$v{z=kK!<}SnfEVKbiF!Ki`m1%fB(!YwR-_eqKXbNVLnJ!i*(#576N8!9(7Z!Bk
zZRR&j!*KKS&r{lPutsEJH+*SCZoeT+?`)~r1@m8^-AQbpHThnfT3A`s*~|p)bDSXi
z0KdFiq@)iw{0b?23ICC|*e2>fl3UH34X^DN8C8TWtqz-pz%TN@rc1*gi>~B7fD0(i
z{SUxdBssUO;l&5FG~DnZofXCZ;3t2L$hhEXk>-Z;u!L6CLmHTDhBC+o-jp;6q=E~q
z`Z&(OuUV<|iS_iQu6fsUuzF%VUND36(fV3)b2xOAp=k~#>mI8<1+%hAJQ;>71W&86
z!~YFgH%-8`-ew~#@bif`Z@<Ha-M_X;;63$JG7GT2Y4?$>5j;Pbn<qw;cY-FZa|zx^
z=(w^9v#Lb8Ex_VeJgt`DVT((YQ!trX@mDgm@B2#?{U7jR>P9`$KAPn|+fKq&%w#)|
z9zp(*wjCxtP_#h~=Nt)t@frSX)8)(xTN|Grs)ZHa9QI^~KZ`vyZibVyoG(kkJxMcP
zYhVr8QF|G<NQ6tb3AQ^#wujhX!!4d-AK_Kj+kyu0*`>r-B7f6N)K_cRVtBy64lZ<J
z`*Hz(A6mv-1@jbe&|HC)L|h6hU}@H;q{Q*$sA!~BNTip9so29QyyQRfVd|~GgI8e+
z*Glq4_=MmsTPN5c{CavEEJ3|$?Ew3KGmwjbA71#@?G4jX<aj=YLv)N=Jz?Y65b9te
z|95^JVm?1l-)|5A-)oNi|M^DoYI(mGY)Pg*`vU3Xbn)+Rz@J!hCWv^GuH<WK2OnNi
zex3(gY8;Wf1g{AvKPKYWgCe22v+$ocyEJOxt*n+TbNC>Wr^0(U)}~0&0Di8|l=lTr
zT6^oG3!A*WmeCAbk*CqC!Ab{~clX0)!$~HJaKQaz?7gs<>iuC!c)|4Z{YjYbf)~Fy
z+*8aQFb?lxx>P6tXXR*0Z^D$X3Zr=7OY)(j>#%Q1f)G1g_E57<EC%<JZpuC(hu^c%
zwj6}7j%$+8!}g-5wN&7W!vk7WaERD}V`}gY`N={ixRBJX+7M=>c3Gi?$8Q^cGKPD@
zz5Zi^ud_s}Si+Ixi!T}B3Th8+E4b_58Yd_Gn|Y7l6<9@CqMT^Y$Mx|rJGiC)aLj&q
z^6%pY7kDAmR*Bdi|2eOASNI5reYP0f!m^+K7X0+ka|03h(i}ODAFP}cEv5v=F%($@
z!KzBt&4=OC^_Ley;Bbj|DjM)#xzjO^;qv_>gR1b&YP000@I=g@5wSmh?IItDhNb>&
z%pQTeG)RBEfW?2UUND3&l^5}*z_EEuB*)<T+a*G2u<c%2=i~5Ib~~FKc-?@P#S|WV
z?(LEf--u^gu!c{HO6QiqacaEJF2F8R>Tk;6qr4nsSK;NDwb^R;kq}?%Wq6yFZ@U(*
zFsHfe2Afs)D>f17?F@ph@G-At%@&xRk2K;I9Dk(Hrwd*qCzT_{vuJE<U^gt;wwQJY
z_PHBYJqRD<nbq-wV-9w;j>7i*U-mzN^H`qKPQhbiwe_L!(aY7Wzu}=hh4N9b*_FFS
zi|}RL)NkSNV~c{5%P{Nq<D<m!7~<~sWD`yc^Z6MAJ5#)j{tJ`WUp<`ypVV^fq<Dez
zmA5AA#PR&gF|~gOoPR^{S|(i5V7C+R{CscR#zUI{|9zIu%M4RfQhMjXPW7@8yzuJ8
zyUHwBj?N=)FI<_KCPu^$x#JCn^02S^9>yG)=ccc=EF61WDS@b8_`p`V7QB+(Ivfv&
z7{7Y00VlA`UXO&+1-fi3V8%eX<6&@*v+tP`@PvfL_j@q?%p)2**dfyIqc1FBBS~rt
z`vj$&aEINm>2)W=7wB8gT!O8?R}Q7Z-JvNB_OJ@ys(B$SQCm+->~C8(m-BDn8|^XP
z*WvbwBlL~%?{TT~ws40`1A8+p^O&^R8Qu`TY|;sTK6%H%3C`o3J@pk1xNR~()USK!
z!LtFFH>c6(Cak`lnK}Z;U%hmmXn!}e{?H`sP20Og#6Lp{hP4^^*sjBd#QwWETO_>#
zN2_N{6Z>y7sM~TIUcDHyn~3*I6c3_z#NvB!B6F1=;C#BlEL!;1Klj)UI3qCP2Mb)P
z*rVJA)6$=#;)czw1~-WLOh=hVYadK0emHgxX5V9YUKqY_c;go}=Eqe*_UDIS=eW8D
zJ7D#(=b6&*e3q&mC(JW(X-pCBb$Uq40XwKy|5b-SxR;$d1TS$vQ#cBLez(0Y22XWL
zA2WcxuQ>Ipz*n<r?j4661q!^B;5&Ouqby*uOztxV@bbdbc1yUo*J51{HrsDFW&`Uf
zSM?C<gOUYN-fJ-V_a#qa{&)SpAmIqB?X@^<3xCS$vbza?RSsSw)*s19Rj%%^&Qp0?
zCs_1ea^7t?itQ4$1FX&cxYQ5Um}K_62@6@CIv55suv(T~hey<ps6T^Qw2Gel!&A3J
zy<_0Wwf4ilaNqC!cVppR-CHk%U<w_^cPTK(<;bIfumC@ETL!$x@rO_(VfQWCJeYHP
zt^OIDyUi~22Cnq`$&m}Ih*R5C!Y&c3#aZyn9m1~F@VLB6WCcunh&Qhu)_JcjS4QNo
z*MHv#YpMsaH^3u5wKv;gebxJK>fy`uaXWk9mrj?-M_>`E1hZjSZ_YY(5Kei(;5ZH!
zDa$Ud!dsR*GpFHUHPL6p`c#*xwRss{$P6{ziS;a1%qZ0s9IoOs&jyQ8a<cq`Pgb#7
z^T0oIL=7q9a6hqhYkL=*Uvl{*6>MDc^g2KMpSRZ&MwpV*gK00!7q*td3U~X*&q~5E
zhAcz7U^0u_VTWM3?D2Iz_}HYx;8FO9CZ(J(+@wZxTL-SSJFX@IZ&O826Xzq9yslo7
zgzFq08Ngc;9|NS}!wegn=5T-MM3o|3DAgEi2KVSjwyDC0#7Dg^!cMG}bUH9)T@JT3
zT$t4@Yyj_;IC{+s{%S;i={U@PjE=?wUbkd;b{^hEmL;D|<d4#Axdbm(T<%VQ%N;~U
zuEIAP?TYi^@x&{;ufzBL>^=Dk)|Iz7<O(y4@you01us9p<_((%c6L_6WfkE*zVH`=
z_QGcP=vYtbJy^rW=XfJ5x-r^#A1<J9m+FVF?GfAY6xI#f-QENH94KZAhkr#zX^axK
z-9GjL{(A552ys4{#u|1a4mPKIZ88a4UGIII3O}|nn)?A)ghl6O!7Y_Vs{de$kH01h
z;IVN1!A<zvS%J+raCE)QTY8+&);{o(e+!qfemqADJAQws{~ngvm#ws$INzn;b?*~=
zdQ`TLIA2av_z>0r+w*4V?}PjNcpBT_4sG!%UU<ISW3UU37p40w0l(w=#x($Me|&iL
zAiO52E<OUg2VK!sgYo^otCMhj#OSy(+^NfX>o+_mRrb*k{(RfFWD(|lbMW#pm?xyR
za}7T7)VA;v9Q#~~i6kEH6Oa66W&^)<ujQwJZ#1My-hdnY<u1^{yEGZwuETEg<hBej
z6^pC7C(Od>k;)E#o&7fC1{bgLmU6-SH{z>;;2zGXMLzh0!Qb<N@VDUWTl?U>!55kz
z!TxoVhehBKwQ~Ch@N{~*!9kd6pXaeym}6*Puq+&8*fJFj-}9e-p#ZbchJ4O~#fu!e
z)nVhTZ&zQ!d4Z=!G~suuGT-vymd>8t`Y;<_X!{Dj<xwtS1Z#bhI{6M}`JiTh0@gG2
zSgwS%!)4tpU{cf8OCMqV^@;*Zc((*Ic@6B7@cN?-+!6D3v;&_1r%ZAU4xRqv-v%dM
zQD=9A{iTzvMq&RCEhabNzO}FahT!&<t~2higV_P6Ntn&?a^!8e_4XNtarj;L?W{X6
z*NctcEAW4MEaM?Cqmt0WCAj{!z}y44?(fZwO~Q0#qR-$;^0=6FxX5EtEeh6JmGh*<
z^(tl(fA4s>=K3j4YIy0;+puK#j4ECz1?Rp#-IxiV7Nv>Y34hY}>B@$)b&pf<!A(DR
zF&Dy#G1pRg;QzQC1WVwfs%v)+!c|2K)>ZIpa@u`jaBQZ-%@6SLfQW5n_=pN?!Dm?P
zZBl|F>~;8PMI*c-`GY|VzA!nn(hirm{mxY<(gTD^y5P;4gFJe0lyR$aKm6*mWTg)5
z5oBaK40CY3j<JCI4c8w|zyeS66i&cdQ>sxvVeQ%Jm*-)X=3nh|@Zpwm-Lo(WjqJbz
z-1w5e<Rbi@>O1E;oH)Jnq&0l&hXns7{6hQqM_c&f_K+o60?sezG%sC&cl$`$Qo!XO
zZ*@4q`-?_X>0slpS6m$6p;m=F2AKUo;>b;yO5oQNJNzKwp5G0)Zdhk|CtU3GcGjCn
zH(8V5g((aYLOtQuoYP8s;n3*LEq_?(Ful7l{HCuU))(HAaq$;{U!?z_4TdlG?|&-^
zM;ldT1;WQXAJ<F6J&|)<q40ZU9Wo_2JGHj-0bJ=>M6Uv?Ut1OmhZRrT=^cS525Re`
zz(#U|$93Q@d`q%1aI0iwm?5mYUey@|ljYIJ7{mVMzqJzKfV#S_lkms2*Q0T8_jk?V
zQ?Q}@kZC$x7W~HI3jDptGAs#J7f`UVg&C8B|7OBb1q*T4;d2z4aT&1QwAV`)xIzCK
zT|WFMQg+M}9%JRr&V?OZKFoN-kzciU5!aJn$ln$TfL$q8N(<q!`DC>qSbJG5surd!
zu<;Is4@XVOet<p0)&n2IX0`Nb4Y2pMiuX}4WmBQnCs^#KMN>3<#;xmhD@-%YMU@0M
ze0MW#fw%sav!uW$X``yY!iCJYjk4f?LFo&f@N_Hx=^R)+z^sM1UVii6M0g=ATsdXm
z3$I%~O?U(E9Nf`A3Y%tH^i{%dZoTjthWRro$E)BD?vkIAur_1!-a1%_PbYXBw$Jku
z`vf~HTdmH($0d(m{Q`TYPeuHOTb;LE+TaN_GKyu`gYomLZ*U4@NXi0iG8b6Z3oGqU
zWZ8f}C+?K|3H$$yH(r5hw)>QR!7ld;tNz06ENSiw@TQO0`Ayi3#qrJ(OdG4#M2`Cj
zRJq%0q=~qGnJz%Rjr853ZR8ZNfw8Oy71EVFY;Li_4qvI?kiqX=6@%DeW@=6WI{0R5
zn4&1$@$~RNqP*(|T(rgE@8`4}>0uSU>OY!9ei3y&N;u<h4w*LG^FX(hxW6GYx>$S$
zmW|_kwgaYKntFc@{uLoW$^>u4h}?961%LJQ6YY_w7V~q3cY608V}=!OT#~*IOS0MT
zr-3_EuB$$T4U}vnSm48ZCf~%sO?<^|M0?b)Y*fd>b8Y$R#Ql~7@glCT;Zr{;xEbLG
zT1S10;QNwWAv@v4A_2!XxV}K1lxXk$aASN>5aTUg#F@yileU+eG6~P~WNm$*fCEq2
z?5Bd6ZGKAr|Nc$uf5jHCci6%8Mf9&<1ZDOK__&_ogI}-}KV3~Eyf-(QgBXtr!_P{>
z;e$4xGn!#rw}-o{;WtqiPrrlRYss0b;AO|KDdPCC^PCB4g2((b1Yg5<$GxAmz%I3(
z;pMQ%`dmvFJaXZmBym6IPM%dw2kgvruqF>4tLil2PewWuMNkBs{CdCkUieXp3g;tu
zX7R3+D%@=o`6vKhm1*9u41bYq-$TT|kIkjuOkqK_f)ye@W-F{W8N;d;vq5$+F6&ZR
zz+ES#1&MgPBmd5(Ib7N5Tx<nTEb6|x22)mugr0^2ulpxog;{*<cuir8mdXJq*t$Ns
z(g=PdvE1eW%g=l_B<7QVNvor`;6^9CU=8@p@d#xvIOg{QE(KWY$kOXzn5J~>xD1?H
zB9L(p{(4{dhba7N#EmBcR!(%~6@oL)r!YT*$v&6m?}59kCxen;Tj8}SV!n0LX1<jG
zi)X0aVum|L^cHgAOcR%4I#|fbaXcHoCRnaZ4kt9X(6_<?Nn5A>V1Czb8YgLiH`DZ{
zX5pj~s+lQxIbXw)SU;?j?;M?k7v~?(4#1<AYpxwm!S{S6PvsKp7s}_IZi=w;t-st&
zaLI><HWu)Wi`-!!U<R>l$J6jVleb&M{j2o|vomh+`1*_M_!GQ_tK9AXJYcr_3PYda
zZ-Z=R5%B72k7+f0x!BM$3g$U*qxuuf@@a`77fw5>8A;@?Sd-_@gE<(#krU;+)pR%3
z!V+!)y+r+T#)9AK;LbL7y+$~Rb=0s6?u*)Urw)$TEq|t)$bakATnp?~%pNfan>&j=
zBDUw_1*fE8_<mdYMkma`YTQ2oUl)^k-VVPxmpl0rj;4A~*#`$oIavOIJ4e&izQVR^
z?bp^}KV8XJgYX1*VH!y)#%o=iem{IDfaf(C?3l5?Yz*G6`um#(ws{zOf>`gps&iPQ
zgQq6hYp38Z+$J(?aDcR@6|vr%sHsusfR||hwame0QW@Snuvq1JJK}y~pBHa1FC4@)
z+C!}W9*~mP?1#_oS9T-Tf96zvlVY&Kj}PzZF+R3!?D%EiOivC=T9{fj)lnV3OTxIU
z0&l&^kXC?&_Psx)4vQb}O+5yeo#j+|2zMpS4Vl66+2^}MU`FA`zs=#d=eo3?!nS|i
z3Jl@q?Z=tKdO_?<;+zG%S^d4O3jU?{N%R8Da+cq*5<aoeXnGmWczV063%;bj{?Hy?
z%PKk10sjuliFSl7jvuJ)gAdL2{g0#jj_2z8;{dL#tV*OoW~8sO5}_p|D<qVJNJ5z*
zyM(egmF$YlBs<wEGh32UHla}2zt{Qw`Fxyv&b{~CbI$vmbFYt%Tkz(O21dOw{~Xnl
zEBq)RGlRsdqJy%By<u0sPp4<#!Q)GEJ}@V>QUQ5i9Umd)5eQ$rW~)WwS4U}SOelP>
zK}ndzgZET_+G1eGc&i2yU;5cA2Oh$Iy}OQ(@%*>v%C02%c-ed>8ULB28U<2dXO7GA
z+hBa~Z1MtTDRurz;>k6}e(Ow_B6dKXynolY6Tw{tmt<_`CGq09gzdo^n3BUKY!^Iq
zSa<g~xbkrz1&KG-ymI@#!_TrNtVw=lN2OO{PceV080J~S^)JvJdnN+63WVpA``KFZ
zL{|~^7NEF44RgB%D$Bz=db4+qz^R3ADzu2(k7|<n#P)k>uQXuyzR5vSpZEMeo0`F+
z@Ant9!6A1lbWP!}?4M7Q`OiW^N0S}=#Yow+7WPZcudspB=vKD8fy4fm9`=N@A6-@=
z<9{Jdte`ur{FwO@8UHQ9!V>~uOQ&mFGvH2{vdkb@20yn==3`vOIR+_k?4xk4OqkK^
zyTw!ZxMFWbK3s6dUv2=-sTO}i=7+ETcAfnOj~}<Ae*r73B(5*O?aZD1$#5$5U&eoM
zCeIdCa=z%Q<bSNsFuzjED<=8>Y@ngp0cS0b3XuFScxO&>!d7;ttI7QGDfNRx9B@Oy
z*7FIlrtb}FKKSYF8#8h6KhJJAe%R<_^5y@3pD>a5>kvFWt{RnybSEj%Au*VWewRQj
z{I_T7;z?MIqR1cuJ|pU)b{xL!>^tobYp!bDSA<ojTK&m<-R0O97kSvaK7ri}_O{4-
ztpa;L7%6mz{laC_&cJ1L1!u_mA%=tDy9T`4x%9&hc0CZ)sSclZY;d%Iqu7kL=)k3I
zjLhcn<;|lTwBc=C{V9g9e7~LZ75K&73!g5+4qq26jNtXp`>nL#wC@gIZ^Ch150lkk
z^<Q&sR`8Uc)gkgd#Cw};Mh7_FBcVkOHotaY-InAJw=<T8*X0MLZ^P4F$;*=PV_u^J
zPVg0V$6#St+h~iq2OK_-B6t9v<qx{(1~Zp9mGZ$YRZ>yj@cr0i9Uj=mHs9|K%+lpJ
zO5)`a)>O$D`0~{s#mq4G?;ZQ2;NGbc6*{=N)Ia+Nd~M^gc@htAotG#Zh85N>nUHvy
z9ag<C1sgJHt<J+WySI-`z~0n{LZ@Ki!UW#mFue)?e-rSfO&X%}@QCB7hreO>vQL)F
zaF3Mep;?$ISm5#^yt0F}j*RE$obnmBJjeGJ=Nh8F!IjR7YmD$~kC*#;Vd)<?b9iCp
zk~9Cv{=hTV>?CeDQA8|&#LxAnnC&94)r-#+HE<?<JMBTZ$Ei+>>_;@4%AJyc*AB)^
z6~jOM-6X_e7sETAFJW#;jTe}7RO(jke4Po$UiXbV4v(LqI-LsdQ&HQh4i7Abx+TEW
z{+=6E;ox3(rWklJ@rd(9_+`)Xsc=|r@|uMn?94RL`2fz6VjVDpd-V<I$^Ol~(BmIX
z;qp<{CvLDp<^eAkIHt$&#w|GWkfxn8{32I#&5Go2<L3^ByOI@KuEKQzr?v&cyXvHk
z4d9iG^~xmpUCCBa9e6Nmdwv2eCrDdO_OD)t{ERDuX+EkRkcZ=&7lTXS9uLL0GH@GX
zhEq4ZJxm+_(hBb@ld`UN!e=}*O9kQ1%gNH4)A0Pa)dg>d#d|}97~$|OAGny{V{3mJ
zz2H-|RJ9}6-;?$(F86>n9d_uF{lX2yLcvAw^M?Zhjqo9@Ue5y9=EA??YS^bL{&x+m
zA4L1J9FCGbJyZodrSf_ezzw#1oFCwu#r(VSVdc(-E$`qsak<P4_|p;BdtLCObH~3v
zgEcbtICj80_g=D#hj%Dcjt#<_qg0<ggu`o$`o6+LZ!Dz3;E-S;)=_xY=5kvw9Q5Y{
z^)TGI>}Ki<^Kpltz)nczrqvs(-f+6Tu-F8=I2jn~3imJ1TK<CdWL@{)hR4<#PE5kN
z9^GFJ;RVrqF2CV=%32o#SSRG_SyJ8rEvKkFY+$kN!5lfhmcHTt-?!AxiIMA(JzOBU
z8R<DpdjH7vPQ0ytLcR|X5xL&{32w7v(k9=B>{D!yY=^6Fvz9Ev>wk;%8{l4z8ykAz
zQ-wl2q<)9KTABC3gS^sXrSRSM!d&t`z|_AmCm*hy%-LQBmq(~a<igt9TcyeO95s#&
zjfJqoP;UqM-XpF+EcqoY^p-Xt1U`N0X&-sMoi$tc2Eprn+g|3utA@w=>|rZrxA9_F
zDo*j1EzBanr};JfpQXt|Blymm2hAI}dhELRWmxvd*?%Q)fTeTodHB;>h8SrNMpABu
z=V1P3SH23Eg(F~A8J;`SZcq>Jl?n_{g3UbaPFBPGhhOAK!g`)nE~Nb=MWmmRfW3#p
ztVsKr$Smq3@0;=!`=7SJ>3Xkk?T1~XGh&+HFC8^BJn*dUuU68YzBQL8al#kF-d452
z%UR9hZ19d(6wAG^;zDf`3%sujKX?zTN_81Bz=!nc1qR^3<`4hK`!e;zDRh0Xt=|O4
zKfF)NKH7VVw9mUnUkVpsXJ<QsFYx)Y)xIHEmMY0;2>#qXed{}16elD94Ib~>{D^!n
zGMRnFowS#qht|YfVIlbzEmEFo^MUaK`0x5ez!<#Mg#BJV%-a`eP0E|~kxnD;SA98>
z(@1;eG!T$Wg0E@I2a@sxcoob-;hXGQwbO97tjKy0OqV;KM%w@SQ#C$!xMpSP8)^TC
zHb|C}_tz;AP3<%ATC0MF9Xx%qh2bw8?J6`*-hakaCaliGQdu%?*I>8SILQ@Q>>1~F
z^8S40h?U?HoFgrqb_uplH@&hU9sT$27P*UX{<4_%I?_#Vb9IpS^&O4;K{QAg-n@3>
zEF4c?ZL<-U5aSF#2B#S3q|?FCbj$zA!UxpcAJf7LhZ)Mn;V&Dnc5H@O4Tg0^VfkLs
zIz~8VVqt6_oIb;{#sYU5HG7lq9e(C~oneMWv<6uBz;yfG3hsi3So3ps!{Q$w?A`%0
zTGXE0M$%uHXmi3cZZUmZ;N3?LD00A3;^{ZY_Zqp58$9{o{s?CpYB=Zj2OAzZJInv!
z%2%w{gCD00!XGc`iZ8(nb5|Y<z&5?tYk$FPGY2~k!pz;`hBNTeiTPR~_+EkH><By@
zSGFn+r*B{i7=mlM@63q8Bl6rF{qUVgdBG!a@W4>PCs@CjcDE#)aPOZ|8~n4Y?%XlB
z`9|qr3tT_+KtUGHyw&1R4~v_g@;C*XWCb(T!psI#HuzEC$}Kxm63bu%*^)FR_*}f9
zbP24$>H0_!ZnAV}d<okc{@1PsC!RQHmIGfEny68Mhip#$eFiV4pE!IGW@FC&FB$gq
zT^7)T&poVp^ALU`tMJea_7CKljf8*fTk$uAODv?l17VBu$6rEV3g-<R9`Mx6++-M>
z_4S9pFFaeI*pdxPcyi3T!KG|j{kiaCpQXz_u+8$++a~z);(U!OY#U(Q+yW2Bw}{<?
zS%SlIC*chf0kJOdt0?B=ad?fbV80#Q=J;4;9hUepuwVhp=d&JNg+nhfJh%eyQw+aF
z^#c11XRh-Y!OS=5uWf|c_eSUI!ed6>33Tu|;~BN{@QvXadrJ7TnIokvT<LQ;lODGF
z)bivAoI-IjU=Za;6!z1G4UqO|Up)qUJyJ{#hDXB3AAEzyy&J}@;8zk`szzar@I&`3
z;1Z?Z(ImeKf0VQ){4<uRh2&?nT4`5@8>#=Le234x)%TZxeJSZallwg^Tg@vDv+ve^
zI}9rcQz-Gk*Afl>Ou?$tX5TnrKGyV4q`WuxQmHn>EIb*^vv9W`Z2|+Vl&(QJ4SQG#
zh*HAMZ0fQLuwVK84;1jo+gQ$DaC&Lo&zUdSKP(8={Rg*b@ZbLlJCuEro`;Xkm}K_D
zp3?8_mSLZFl?r|EJvwXCMVLSDYj+zgJFXW;f%-G;m9cGwY57t;SCDS~^>)--I4Qul
zkkt1_<@SSb;9TDJN91{O%xyWB2}^CuZlgi^^Ca`hbXY)0yM{bZu~0vcB-qw{|1twy
z5crub0p5D2Wr{q{;r^xcXqfL%(q3lRN>Ke&Bz&TCoR$gpUJJbD4V!FveS#I13GQF_
zg1={75ZeaxZCeR<hCeBDTI_-cXOx8;;aW~}we7I^L4S>_@DF)@9}ZamY}eQoSj^eR
zd?!pN%*vz%`|cG;<buT_44<EcB@6Am+2IYW@eRk|kCWV`ys$~xu&FFO_W5Q!C#?3B
z@4<g?&!g>K{P6e(OCCXZXrQc~4}Q7epU(w1uNkiW2VW6sQQHGg^JWeTz)_`)c8suM
z<LO<(@B=9gdV07|J!)k?{O)S7@M1sqGd%?*#Ng$<E${xo#YWCM4#Fqr8K#C|=3P`8
z5^&jH72hB5!wcudMPW*d2QS*;z{j5~q~O}zx>FzFjbryjMc_Z7#{zTU%=Kk+Nmy;8
z+ukfVib+>h92T}KI1@*X&#Cv8hMNR_4L*d;cJp343@1nl(L8`t<pbl7!Vg5v5`E#j
zo5$`Pfsg-4sJR6vS1K2ufNyj47}&!r<7siSFypPQcdx*V{2Mz?!H?!n?>2%}cCe<C
z@&*FpJ}Sag8?Szqhrh_RS;)hGZQoau@_rU>3K56vhPE!9hEL@k-6skkd*$?nlqc}s
zL6r+WkXyv60=G~<AL4-NOf6~7z;hW@POR{a>gUHa;7?M&wrqoyuUrsOhdoX(rO?6q
z_`<H8hm+W4WNBgH<=@Jhu!^C*(Vx$lZ=dG7s|PoE#Q&RvJ-j;Yb>P<Gl7LAVKaZAS
z0LSk8&NmJlYrTxqhj-Sk6?}ukuk^HEf%)(4)fj*WZ2fADVD5WzgI#dqkM!khuv6Go
z*A967i|)^>@a*rqjE%5%{;j<?;BbwUXYb*bhdgYSun%jcR3%*YQAXVkwy*s1u^c{^
zJaXIy9vWRXDS$uAE;~BGd_UM$Ucr%npPAo+H{CoOk^#S&FGz5M<BQbyrNbpO4BpOg
z=~{qlENmOhQsN0$1tkwf!E60HLT<x`TUH*s!SbwZbzbm#C$oeL{Q51=V;6Xh)pEiJ
ze*S!W+Z|YPo7cU|a8rdU9l5{gfT261eHb5T*iKr(I!7sY55v)CHY^&G<DcG`FNGaL
z%0#ZiF^)mO#c*lp??0sea`pSVVqoc<#DnH=yxx*^6kH!PI&TR7{&lLz9%l8qFGT9s
zYPYGTEnH_wyMdJNXB$JK2e+`qOOgCu9}5!C!$+U2uaW#k?0-hZ;p?0a4wL+c(zf3f
zg{hT~?=peYRV1Eq!C!PLG%VnRUFVMPfu{$Y4w=Dc4Q)*r;X6*V7UcO=*aj`r!D^eD
zE|KTwpA{Fp0X{=17eSt%=jH-|^-ox@++p`2&o45ow)hX+G!R%yo*$**XRUcyTFESn
zJiqIPlRqZm?R0J5$@9}QT6Z6ZKN-B}B=yfwy=BWFe877v!(I5!HlFkW_(E;vv^)Hk
z{!~*l9D9qK--kFs%d8QmH2ufs4Xa3){H=!ToV3;b;r1OiVU@7v^hPmXxW+N;buP>r
ztZN<we|{3Do()T~3119=PnczWeF_Ke^au@yM?b&5odWL+*1j7G2h!BjKZZBX#TUiE
z@0%J^W8oi8Dsd6;;Q8rye(<b$aN8p|-|)Aw4}8Yiv?dnb|AunT4gTAhyqExoZ>J7&
zf$Qp>CZE7cU2L3oFo)Mmo~N*?=k_9N*woC2B?Uf}v`_gOeC=+D@(cL;L%#2(@B!^0
z*)(|19?4sm;Ea&Tv;tU)j{mtX9O_W|C?78QapcHZcyr`XYbh+-Bh;n}dz!wgDu$O?
zPMXTYrpbG*w!jx>sfCZiud{}9nqUiOj><#uL#OPcOc|K({>kIwgh#0<RJXuC`XYh_
z;KkQMKlj2Kab0>`Fm?EYWdS&!Ilpcn{3a;H{4kvQf%`8ntn!7%NeZT{U%n~?%eruV
zSA;{UF2<1ZRF4PFD#73U#Hd7I8T-tL%dq$nt`<_>MjxJJBUnvsURD%t?>WR|4d2t)
zf0LBQZkWez3%idm_mS)0P+F?x4Es@pIf%gt{YQ;mU=P+SgVJ!Yno`Uim_2gVMGE#|
zXnE=lGxJoAo`7XFeryeg`IXyu%EIN|c3hG04}(NMQhyBBd;^o=P=@59<M6J{?2l97
z?a!?EmEiucgEX&T%{~L&Q?N^R1M6!zcyVv73LM+|`A#)#P(Zz)2-h0l39W@S^czjc
z^SfveE!GF$R$3Dx<;ln>oa~3ccvL>pfHfYdIQ@VRg>j0j!-*T$e1>6%lV1~cV3v&x
zzvkev(2$Rs@W0u*^#!=DPVM+bl0T*C@GAUcV?sA+KiLO^6xQLGSNaM@@cZA9t~8mL
zU+Sgx8^DRXFZgeQi|?4In8EII#uZ!OuAq$XCU8g5{uXBVpy*XiEBN};LsYxq`qZ?s
z>+mV+4J_>NXr+-ZY5$?rjLN+5a$LeRY5%`A4(RQLN5pjuoZ(rviC`hv&M|cU7Ci70
zKSc@i`6-xqzyZC@?Gmt{sOu75iJx4d^P4>a^XGr-3WTlq#0s2*)jw{v_J@~W-#&Z_
zjyzTUIUL^FA7G^n3%&d45DFjJYUip7AIgs(B>jC>#pmTYSUR!RB^sv6yVRl!zw71J
zc@8`F*i#w8LsF-HroxtVS6Pf<OW$ezEZAP&UD+I-R%Mub0V_VUFt>tlo-uAIg*P<%
z#@oZocb%^l!^2B=vu?qEM7cZ3cqSr|_}vX2Y7@Wl7H*<Q`sD%NU;6Z^9!^kyyU!Qy
z**Iob3ojPdNZyC{Jq!NY1Z(a1aU%roV2yQdfUWlYbPI!<L}iEDVTEv}SFvyxEq<C6
z&WJnkF%D)+_PIdDXYOT9npAk}<h@xkK0B<NZGQ$|xW3nL6gILCRLz24?Be<}1pBZ&
z)6ao}x4t#~2@gMN3@d=e_P<`9fWP#NCl<kZkF+f2;4C}l?zeE-F8K|=VEU;G^VRUz
zORoJS{+QYM{MP{IpS^aA#GlUWZ0RQWDmTS<TBJvv?z8EDAGnUXP{X5Ko4mT<cXeK)
zOz@_r!v+2Dq5CFY46u^Nla6n2zh|gE2V6V4dSV7<mOmY^10IN#*7yZ4E`9n-;^&pb
zM`i1<sN$V{>~MH(f5V0>jKAK@(R{GPBI5=+_`=bF13a*C+4-#uaO3ZrkN3mMlzykT
z!Ah)>;`?A5lXe|eSVEyTQ3M{=K3vTUU(Zu&{SOuv^l#e>pS{*`^blMps+b`M7nEhh
zk@Bwm_q;?Nwqq2hBk{kMvO>ZMzPKJMOwM1%qr!g+_A}g3wG&>f_6hffCnaQNS>T}s
z2Jbtt@MNhssSm1me8u<SoKB_PB>vBgyh!(joqxX1qJUZ1%LjtsEBmw+)=>W&1y8jG
zz}YFC-3zd2g(h_bynevInmkYblFo%txQ%{*ViLZbKOhtfM+}=h9D|J>U*U*`NBD>T
z`v(6DwS15Y^Yjj1{0wsjjo(g&!)+|4Nc+5Ve=H{*-ljBskF?Kn+iQu>;f-<@Z13UX
z>lYac;O;3s#Tr=Dykq$lJaFtw59wbK?`%&D!0wOru9E&J+)JzR4Q>c-YI_aaZJzfT
zg%_d(EndMt%R-~Z;rkn&bd&tER2~hpFoo^hP0~NLHTLxVhMRQEK9l~rHIrfM5*#2@
zY)|^<<%pMDD{xeR;5X7gJ1LTMD6{dt{+*LE>7Sc@mCdN(zQo}n(my3>Wa1cMJ_QkX
z(mzf1jb&_xpF}?yC-*O1_UYSpSRi@u4!M7Qm!R1laGRC-bT8b;<t4xcKOPA7?S}uj
zN=ov;w|W2lCjFIFkRwF|wiCa>(+4mA?aLE`8<sjkzQaroPyElqyJCYTNqKta*B@!Z
zZc8)&@BfbBBmHjh%yjq<ay>6X=$c*NpGp!=<a+fFr(1`@LyNkyr2Y$RYYl@*dctxu
zslV(b6^c}t-ijhJAJ*J$Jevdy8Km)N!UlW91kz#kl$1B=@N*wUw&(E5g0e;uTrt6{
zmJJUDof?UU3r_GK&4hX7CvKDRxQsDBtptv;ZhsyIe{imjErR*o-J~DDr33ex-@>_D
ztv>p~o>CFzZ{X%TtfnM>DA3UFZ-ishCc<vRl8&sqKESj#(R{XWoq>4i0K7@&`2XXV
zCB0-uKOCh#>1vF06E|7a-*EOJrxPTeelkBII|~~{^0#ZkGqF-*`*Seg_;CKgF__z2
z>z@#;ToeEQcz^VBUdtI+LRepu%)h*vdk0kD3)Knb3UIjPr9dBe@yHc>GJm;QzQ@fQ
zZd2V$y&qmVnflV7950+5N9IrT-dB_E!!@b4!klo;_2I4%*rexAEjvv2@L63DY>->3
z#{w@5@+?Qf+a-=qZ-pJ!zfFY0N!A<hZh~X7E^t4BofPivpn)U&yVs-O^HU7R7JBjb
zpVg-iKY>Ly1$O*~#l5NdAH(+?HLgv-k(_q=$*}kL#+6Yx`NXtzJUl*gp0@{PyME5*
zDLk9fTHFbzeb{Q00&kR$Qf-1Qb!?+vz+y^_-#@_0&kp*e!L7<|x2j;1s0SrE@czWp
z3>9!xyTXesSc{4=p%A9#j~mE`yE8l`Uc*6Jx-EHdu)V^&O!yLQI{vj9z9+YQefb4^
zjMrqY5cZ66olSzdLYFSr!SUW&d!E1wRWH?R;4@UaUPi*gp{~^n@VWExP2O<O@!s~o
z@Nw=|=|GrXwmOY97xBzuGU6`0i}7GF8=Ty_lOh0Co;Uls2VU*aiMbCiT<Kcnf{k9?
zr3{1pLzS)z!}253BBZ=t+qbtxVdXPB<H`BQ4vYLa4i`{5eh7gF0<z~$!k5P5BxB(T
z_7TA|@YDX9rYQIUlZCVjJRmbJ9S_F_^`%~bqtp&udkBC1b@jDAY$UAF@&EhZ)WvB5
z$Gp3{9*1<6!D}K`@YsQr8&Ba!yA!Y4!^~R>Hm1PxVTT=W!BbNmHW@Iz@$;|Vuzvqk
z+%wojSz*=(etC?JE{Ej*>dqeo&#G)mB+nzyj7u^EuHX9~BY9psm@ZmH!^V$<Qu5%R
zA{6eiaNeZCmQq;Zv%|<U`1iVuYysS5$NM)8&h64lFNa(5qplRfrgl=D#qh4TD)z;&
zM}w*yX+I45znEL#HaZ$gQr^bgJl>D6&@VRIYWQ=XX7w;U6qYSk20OX3cZ|Z;G-U}j
z@VCSH_N#C#jj-_>co+ABd+V?q{gLKcxOK<GPo|gn`_1XPf24iZIM%Oif!Q6K&ECVI
ziGL66fa6wzm+Romk9!q%!EMWt*IVFfW!c<)aLeIMQKbE!E#|A-5C2!pu%R9PdQ4|Q
z6n<e@5z`7A-x*C%B*#0H^zxy<PCq@=sRlPr8(H(fmphNqYQv-Kngud&YEjrxeK?6_
zR^<rnxB0oDAv{;{ZLcyM`e`N7436FJR(cwiq-J_%4j1Lv?IY_C+QF-R*07HkZMhoU
z{=#L_7VdXn*-zFVmND(zx8a7@!4>D=%PW&&uJFbG?j9iP*Mdbw^SiM52d3%^aMz0I
z?R&6b(Yo*zc$~f>I{?-#zh7$z%VZ9|4T6>UZi|`2R1L@GBjJd!<@&3zHbV&8Ls+4-
zH^~uR&{Dhm9PaD<*ht3n=@0G^>9BI@n<M{UkMHh(mkakRinll+eWNJzr##p;h(p#3
z_6oP#TmtWm3I6B~ughn0mBG#DosN-svZs(yry35Z``+#iZ{i4au7?woUS>tY#g4OC
z%_RT59jC~8Lumiux2>>a;!4gV_*P`xTsOQlW~e~c8)nNQY@gwCUi_RS9!jb|R{ak9
z$av>JgLB+vtw-SRaSFkOFm2(B)Sqze`#4@QpW(~atN#V>Sh%=C<{K0(AC~{Yk0Ud~
ztBGTVMAqT-47px1-!gE#Y(|rZ`E*^-%};P^;ZnwCcu&C`_cHua$m82~_=&Dm;XgP|
z?34f}Y^D@$u^aP4rlT#F_~8(n<~1^Z_R5gS7lGwPrZ`W*2|OKRk|ceM>-7nESkU#P
z9IPKC)M)`XF>*PbfuDElTA0HfYMmKpVP}`p+&l2)8Lw|T@RJi?6+GeE{gVQQu)z4n
ze~Iu;lOzK(IOZ^Sa6HVh6c}y=uWz;QC?x)+^v)g@`t;!XYxoI++RAPCSyp>aGpt;-
zS^N%sXZE{%BdllYsN(}$7F^xa4?mzd8W;#WSlYb$1h2NwKM97N+=RKl!}spIX^(<M
zVkKUGh1X_XhGO7N+`qZU;P#wTyA#OqDRTv6|FACN{jn5Sg4rtc54`0_w8IPdEtUD+
zc{n8VvTr7wJi#5l0&`vwDtiU@DC`tif(z{bHNA#?Q$9v)#D3+)Z-P(T;K)|rk$*@J
z+)i280UxcE*4}{heF~TL#^H@2z04&4+d4UmN%+7Pd`N?Ij>#(TL$5F%em;A40_n*c
zt8B&Kp5JMMgYX$?Q4byXlo0KQF8KWrua!2e?S9pO)L-~5+wLpynACIM_pp?-QLPc2
zGf1_o5_a{XSh@xmpGeLwhZQBJN3X)JY7}w>a7a17wgbGIPSo-x938kt&JGT>4qHuw
zlUtrS-G=u!^F=&^`+`EQI>B+#KK$f)*KB#&>I2`@PC5G!Rv(Qj_lEIS?|UdLwvT(x
zA8zXiaSDc4rYQ&S!!vrn=zQV9umHADSc}dj!5jX0<|b7zd~^1*m@Ay-Z(|b&PilYH
zcZB&aoxS`BE{;4seFI)u{1A}@_bJwSTf!g8((WX{PsjGNnZU2!a27s;e@{KjFoN5x
zms3;Wg5UJV|G&T6cJosPEUN6&PWE>dZYjS@hkxdco2kJUrHfW_;Y5AoC1qH!DSRRu
z))J@>mV+<PEpZjVM|fm-N&os(nY;WFZk(i67KR-hn8k|WRN>oSgkavBNzOvp^WcCj
zS-%cfpE+L+hg7Rmll9}uPo7g{u-V?%56Sv*`l_pQHJs1DbC3<TzH`p35_bN0zmlx4
zqc1*x{0^q2|9zgUCw<I39@N3rVi(6Y!h=ao<xOx@d8Ip9Pb$QxWH!Jj&j@ZM<4M2F
z&u?w8u0ZfpvYss3SKZPI|6y5>BKrsG#%j_7utHmb@ff_(e9yjqICuxw{8xCq>v8x5
z94p?zLB=!xKjvOzB)#p}OR`?6kLw-(16!yJ_cp_Z-N`-kF#Rd58+GuTv`)qqc(+#)
z1zEq0w?A20gmXSIMv?W)Lz+gB4fz;PEiMWc!x0xMJ4t!>j2-AgU>BXF#2MIziq|m=
z=6$c^HVHE;&f#BOBmQIvogRWk^q<g@_+U6pCGj1O5~PeH@h7!se60^oe40i>;!AAq
zyQyB-Yl88y157m)?oH}z2a~ehZFoh>+4epBp)-?;#4}^+lQgC91J9n%WPj{(-GTWc
znEAbw%?)__1?CFU9uAAY>m&PXAq5+=bKui+{MOgt4!tqwH26yG%TL!~zxY<UWcWux
zeI$wRmCl1sq&-&F9Tz0~i}o}v!lb>wJdo`u1P@fSo09ykHvIHtJ;JWpa**VIw)1f9
z7WjO{dlQoX(xa>kOz^w)_s5^YKdOwqRxn>tUoLaVgd+mFS(ae?nX)S{VEJOvv|n(6
zdPWSnex;67*%|n<_zNF${jH{JEhEHp5hbMk3$<CB4#5HM!_xBM`?Vkbe1<ir9Q#TA
zobr(h`~=gyvTq>$!L~1gvki_uqP<=L`%SIBBJ-{8>9apce+Ybb@pL^b(fc1SY0v9)
z)qP~XS2V@5M%sUGj?0F8_=(9Maq>L$E`5uB37<W^{JI3Lt=5Zogk`g2?!1CW4JS6;
zhSPr<sbs+=9zUxMVb?9sx0CUqGulP?3M?5SmhlkIkG4z^hTW$99K+!~%0HRJU|yl0
zCj#LU|9yV91C~)zW+3BV(?z{QyWz+Z-6Ur?bzo20Xb;BEhvS`|u)b}Y>@d9HgID5h
zSi8%2p%Laa+SKU<dp+G8@BuaxkgfKB>0>VJse*gBD*ll26N(1%-oo^{dpqvHip}=D
z*>GKd672)HQS$GNOt?t3W5E|5)t944g+Crv{f~^NU)XA*l3@F?TpBVS$A{~cg~H?F
z+_GVCKy;5rFgz&Ww<8Gtn``Cd4!;wcQH_KLm&fT{;pdAyGNe8(@k%7v!RuH2tVw+p
zRpyG@z~?D1>?7qJy4CHa4(qAsUW$buDV}3hg<o;BZY0;E>0dg}4QJZ3NkzfZ_oVze
zVIQ+cO(Z_-OY2*i?8biRHq(dXe$P(nU7v<yzDH`2`g5W;E@*<oxXt&FcvaWk#oY?O
z>f5q(gV_JP(pz|Nb)?P=7Jpy+suH#uSqvlbapAe!jWqaCZI8hPc#p|&&kHy=I$rub
z-0rQv_7G;f=tZp#|M&8(MI1a)IXb5TcUu2liGXV(8!F`CR!Y6=(eSHSsT?`@kW9#O
z5KQID?kWSfNseC&g=u#OUq1pb4skB|!95K25@PT%Wk)lAcv5MMR|FQcdGYTKd{nt*
zdLO)9cG>hEe3?i23qSm>_uyYwxY2#P;|_RZd~LHATu~oux*cXOpEq`fe{g$>Y=&<Z
zNH@8_UudW~8DU-Z>qd5PwC&V56?{HBy}<zv`|aGj5#C(hb=e9YurhwSjQL8r5A%nc
zaIgPt#3HQBc+9{IuHM#X_#4iaz4gu<&Tq0-pM|%|Cg>Z%C(JJHBJ&^q_K$T};C*Gk
zX-8ob<;4pZVI9+fj<2xTnSHgFU=bbn>MyX0)LA`kn1;zBq#JIHcdpifTOTucbi(hb
z;&s&FGSgw!dRTkyyU;mU)-;r|79Jd>#t(~Pf9#ff>l=8~mG?h2`0W;<x23RQzkIno
zY#2zbn+4AZ+eV&&9Uqn{WWbwPLIqC3>l<HeO@$w|CxoAZ=QB;$li(-9Z}!T-N&@E^
zACdez??R8lY*x&rvGCY_{6GPGXo12n3|=iB50->`yJ~NRz!OwdJi>6H{8L6U|IN^#
z`YR4^jImkvfHgQd0{(+PxEQ^2f>%CmUpN2{nTr(Of)lw9JlG3AxWw&!6W*b~GbaGw
z9G<r&^Y7w~l75`<pRtjnSK;MgfnVHk;^s;r6F9k6+Gi)cnK%EhKAc~~KeHQl`w=#B
z0XDoQ<-HB=pz(dB1)r?q{K*QhnVKhS!1JTRcNpQ*u?9EE`XMcYd2%y+AWYuiG<;2&
z+mi;q-XSe`0-kkP8`}g^UFY9%41N>9;7$Qcm2vzy4DZ=9JhBn?on&l31g~b!x-4}e
z{+y*wH~=4dUN^J?=kHz$`VZcp-Re9K4+qa(;De>NBz^w_Z{!=3<boqzUv3(Kx4I8+
z+zIPxxH*i$Or0a&SYR99`;U6yf7`~g7~$zAHL5<?@z``6JzT=3725{e2F;pN!W{L?
z8#`gW0ov1K{U%$)CRhVYv25N()^`@4+9K-USQ)Mjf8e)w+WE`jFfW1TX}F8tKdb`Y
z-Kd>80q-pGE6jn{77U$#z-#$ZJbAE1ezC$AIFtThUo6b@xM3?<pPuvWQFshb{xat$
z>tX->=g;nizv&BKtc07l7yaOYH#vP5D1}4CLZ57ctsf@nSHWBKe~Hn+gSwxUE8y@i
zKWbMyv3?$i@F45u;}_)hmtjQ;Mgy{*-V-i(X96x`dlUKr-l*-jeGGPT{pa}(Hs0it
z{uO?jsXo#L7X=G-^uaIp`*n4|mXEovwZq!`ZEeTlD=XUs8e#FNWTR2oQHQRi8Xnxz
zSHA$apNsoZ4om%{Eu4doQ${)!z%q9e#+Tq`?;eJHIQnd3FR5?u=+=Y`I7sO-BL$w1
zmN~OTI{b^ue|Z(@TK#nI65&A;HW6y1TT&<+#KYQK<v7Xn%<qw#iGrVf)bwSB%Xx}+
zg~9m`oo{V{4K(wz?!$AjuAle7_ZD~cc*8la@eS<oZLjT?u5hUPt~FkmT1Ro+8NQ(*
z`;!}%KPDGp179e7#VrW)n_2I>2^+X{Y!QIdaxF`*!g`9Q<qyI?_D5@&z_NDtdG^DZ
zv%!v9@O0Df^P;fMt3rAWxcxATf-oE*oF9K0PWj{FO!`masZZhx@ZOaT5~RF$svkUg
zVV;yr<`S@3_zVj-Y^l%1Li$g)XUFe_4#eB77N^Bv*2$&&bFfuv-bZpjA7!e8isA7p
zw|H{D7ucizmcpmvUkB}i`>P%Vyn-WNj8>5Qz0h66^%Ax>hzi~fQyz)#je)!P$}4%`
zKM!hdM!~O@>_SL+GD!&nZm?oQXcakM(!r*(+wl8s3`t~vLnq<YpgCO4&)Y%vHx4)q
zIGMp-pAzy&d12nQPtL<X-E)RW{eDT97CQ%z#vQ2H3lFPx>dC=<trCBP;LMjRQ^#So
zR}RCZeyx&byd>ezs?Iyf{b%TI-!1_^<Sd{i`zK-Po6?2g#yziP$o`3Xp3t%VaPPO-
z{iHrGnQ?vOhI14r4P@aMe9^)QGcO9LNyClZhyHDcBWgIjPQnj-wD7O$Fh4cdvpx<F
zt|)Rdz@D*Zk`-aTRpWw9aI}zjm^_@=qjQD=zFlQqqXJw0XZ>Zh9q%&~(_WGBmd@PN
zb^#8M3mqoou_2=i^&D(gSl_7*b7fjToPbO717!?g`+s58!|?k@^E>}PzH51ob;3#Y
zEviOHzcL-@(GJ%zQp#S2ee=DyHo#_yy*Ekx;7ARA_6}a{Vz^A=he?CakqY?1hOBB^
z_(E2=Nh$nR`*WT({Pw?qg*^Dj<F~mHa7BpCz%%%RZG2@EEU9F#ngiQ@8orPLYjhr>
zPlH8#*Ob!X#ic{>3GlS1@V9b!I<MzaEbOes`Ktonnbr9|5e})`e4fldZrVBbg}~AK
zS<U8QX8xN><am3%TP8a(pQ--7K_n11&h~fM4G&8Hj*BGev=YyG;Kjmt(Qx=nKYKJ6
zym~&T<^jAt)@<n@eE;0a)IIpO<vj*bSiWKWVi3H4hOt`>zNn*{<qflbmKr?^yPBQY
zMb3AXPG!g*Husxd_k@G~Z0)dx`A#xMI>Ff!4VHdz%i0}H8(7GV(VfiaJ<LqXo#7C9
zwbNvMl90=>#TxFIe5^;-dk#5^ZY2Mw)RQxBV0t4CX_EhZ=pzcUp5mKact-NubIY%i
z^{&lqP@omO`CsPdVOW~$%0CC#Q0Mirtyo|09BQ;PgH3;mXl#S`RX!TH35z?>c^-qs
z{<`TI!2{piZ^**yefbl*@Z4DZbt8E67;~!%yp(jr^$P49+9|6IcYn5Lc7_Ex2mY$U
z#oasjTwuSI_^apPsfQ}1A+X55d)(^q)9%H_Fj&>}WUvlgU}Urw3qSD?;UVSab-m|#
zLY(__$rL^(Cw@K^W;zxUas^IsnKF9@Pg5!_Tfp9Px(~D9Z;L{q=J0#N?y{Hgg&&Wu
z--ad16sC({Lp7HbM_6*2j-nL)Yb|U+p4Y$y7x60C^(5V@8+=SaUZDnd>U(411G6XQ
zJ2k+!SR+^O!nuNbvp&Lnp=t7QB!AUb=CANR19__$ICSp>?;tGj;a3l7-^ZR9>x{t+
zN+niLV3SA3%_m?hp=-TQ;S0TqYwPfif2oo2u+Pp1TQ|PO_o~;`DW1b@+^eVP;A;+4
zQK@hW!!|KmnB(82edPRl6o&6P;4C5Q@1(tlglqM2!XEW38svPgT?b{g;G6WO7f5?`
zT#{7Rh8-?#s3XTmYsGo#!`UvO7fAoGybyZx0xZJ$dy@2zZQExOjo{%>4=+EG{(Uv?
z3jBFt*A(fGC!^lT{(wDhTPTy~RnAOtb{Kv|Ghaa3V@Xxr&=Pz<rO@Uo@m-d`EAWFi
z$NF!;=YyCkcNL&Med+g;{0%18+u7m6hl8U@e&y<27Gm&)`qi@}zxZcQw?pvujUHtr
z|EOF^whSzH_VHOuSbKrD@+ka|VrQ8>Y;9rqTOJN55It)PUoC2)It@#H%_=4BqiRmx
z;yf(o-1f}@mU>y@rVH=kRaJL~?QSn*Uxx2e>wR;9xqnW!UxB|DoGuA~y<9A$Y+=Sq
zjjz7&E9#%h_VC-*T2)d%pB9ANU0}(n>H$*!FF0O@xWR4qlB!W~ho<<PKkV1XZx;$P
zn~nSz24_e)7pB9rnnIUjVT0If%A`F!iZJkwgRAmS@fN{Pjh?+uf!BNw6ugGx-`?7r
z3x_CWpBRNJ-ZbeJ!dwNx?L)B6h1(Xzu#Mls@t^Q>)3&$@__#q^+XSo@d#I`g=D8T3
zu?*Y1eaQ0%o}xRLL()wa+BeU`6q{S*zQbdW3ZKyxVt@A0%3>e9%svr83-6pt3?}g=
z$!_7&UifC}#oqTYs}+|rFI*r^aibD`TpN`w3ilpX4ljeh*xOc$!>##At2MCNg`vH2
zaQ@Lxyd)m!Z=~FI0`|?gS6B!)I!P&<hFR>{mC5~wC$a0DfiG>gEqDXBEst=S!R{N=
z)?dLNWqZZV;oL)it;qRUBCdUKhYQV|`AB{{R+D~DID@A)l;l5IVnmk#_rEk)%Z8;F
zZ*pY8N!wE`$@vG`*M{E1)v3&{v*0el-TxY3_IPdX0+_Gr=zs0-0m)~t$oXAjId^=7
zKZ;*HodMr-TVmK*g#Ns#dxiABqHzhX-LS3=lf`5Bgz2?WNjOzDAukMO8O>fg0<%lC
z?Rf;(etaKx7G`c@?Iigh#_WEo3D;>UoFw_@zKPzr2|JdXKOp&4--LSEz{h(c<{!c_
z{n0->;N0$@ouoZFOI@Y+hBrHZnI+@XQ+dmy{xIdv4(}A0#Z=KW7;g07x|9#koz;kr
zf}6s&{Co)yNC^CR0_Qx8k0;OnL7MdTr|=CiKar2{zO+KY=dhewT3jzY&EKe>4fCo8
z9_)s5ct76FgR?(>peF5?`|enNF?{cAdMs(bDxS9QO5r2bb(Ez2o;NSL{1KkGd8UNS
ze_lRUwrhuPTbb}r!<jVxv}5p5->SY5SnL5m`ve@u*n4^g_V8Ep`UiXFU$7+YJJn@2
zVhOG-z0v&}&Y)!byQvuC+jRdTIiH<L6+Hu-={Rln2maeWpTrH1r~cbb${TdZc+CsH
zc};WwFI?*NVW$}U;_cZCQl4U{-+@E0mWDnX>0c7ZVhm;AJClFY{=q||diF=*6TdgG
zZovF7Clb3nFv~?zsTHJCXP=x<gJZr*rBWe%{+r?1OYp%Co%(g8=WvI~T!dw%HTB8)
z>zR{;lVQ7}?Q~z^y*-7y6X7wzUGb#8McOjep2NXvcZ56PrGTm<PvJCfpXx?fS2MV!
z1YUdk+^H6x)_YP~1YdohMNj(2fp`tgW|IGI-doata(?R_ZG`3LOU{x0aA-x!x*h%&
zN<Z`hmOFhy|0676#&SCu_8k}-qbtFF_OU%1$#|(I{BMN;zF5F$9RvFX9IO?DAEy?+
z3WCR`m3#k#C$p0|qv46jud>qc(V2mhq<sfpqtujzf8KtVMcViBvf;2M>~NIYnDh_I
zt-*`uU?z=;M$&&+#5pcsfve5ef0Fip>9v-fDV(u5c#*{80)wxec5rCoh#M)df%?*_
zBfL}ixi+~Uk<Ps$9`FcH@(>xHNB3Qq_k#bhdTHjuS2i4S^n;si9S2E$D9*b2KY*h?
zX{nR(p{?_DSt#rrFF!!WhY`cb)^K>-jZ=k;PabEDH#~xS(ilD$!|xsPw#UJLmxoSQ
z!Pl+5lv3ca(B_`EaA45^+vjk0sC#ZJd^T(?IUDAPHagi13%}Mc%!Nx&9?t55X=z(j
z>)<C(>kM1q>o+8f-@&cDu??hs>=a2_=!bhVsXRz|f4a8Pe}x0CcZ~JG`!+cy&ch!v
zIO0hEcAuTe{{#P=8KwCIFSPjVpf1Jx3|f6b(!MhJX%EoCEseZU{jh@n<IwGJysb|G
zDbL{S-lsd@tb7%oZ*Y^qbQdRlZqGvA7g+Yb`vf;U)K#*F^yl%O9xqAw`n9Ci0l2}%
zHtGm`GVO{i89#=P-oK;+TbJZ}ko*#J2W<7=o<Q4iGF~K}$?q_O1;5^<AA~ihXe&%%
z#-;j%URcKUF0VbzP|#S>0pD>Km%0UaWcdh@>#q;Vc<c>N&fiue*B?1D=X(cso~Zgp
z>XY9#qv$@&5h-QY1glP(Hu=MY&wuul`e0OT6L|=y3pA~g`lb1A8+#0Vl457XJ6N>Z
z-t#FuF*^RL8m_L%wMc<ycjJc=VWlwrxEHW>WL!@XY<@q+FAWyoKW;_ZUrh1Q;vAUv
zugc2*+ut+i)GXM4=3y8a-y=7b(3HW^QQCQl@XC(aU&XM`NQz=C%&ij0R|!{@FL#mt
z!KYER`7La1uWCv9BgKf`$vT)ZF?q=!E>5jstAa<R<@m^a$+zj;nfGw~tLS_u_?Yj5
zL-p|chr>$NaQikEvu1esnp7{D?}=0?X*R-*x%Y37`Cv$X^WAp%d`I_+G5knx!_ANI
zZ_j<<7vT3f-U&VM*k1=8UHHzK0{<>pmZq*i9rmUYFYAYsIyawIh3h9{!h7Lz-aKm=
zcv70N<}0jvY;jEr?sZG|`2;7PoGjynz5H1UzrmCV;%XeQdeAQulK;;ZyZEIx>__=&
zM3MYIo);hd2k%y<&?WgT&pw?PfPE;>-zWKn1t(qm;T;zlmHXg)uTH5N*rY?pbr3%L
zWcT|@IAgg(^9y|DaKUUYe0LL@_YlmSuy`jMj{S4~=66_<Qfd1$`0%!t)>$}vp#E?Y
zEWfJwd<u?yXKEM<2T8m3%)#@bNz*|vGhJczFL=}2X>T9+9c#%rM;YdK_1lIVVJ3-?
zHBR`A-CGS$Seu(7LIPHf<e+ed6}`SbmxRabYOTEB*<uSTZFo7JA&can-LHE`2hO;X
zyMyFs6=+qkhx62n^=`piU%bC~3sy<dt8s_VC=Lg>!6O|S+O8!3%$TDK%;c0eY6pir
z7NQG<hXn7(TEaOog7ZPJ9Q&k@2`qEt2!9lOtgySx2o5xq*ct)LGstS{!Cnl?_DOKL
zDxK{)*p))|%o8}Awez7Ita9pDMh3hmE4KJ3OsRM%IvpP4T2qsN$47+gbKzCn&;4TX
z=vThHY}i5Rl-+)qX>|AZ*YLS%jt%?Z^WB@9U%@x``9yQVHK#VLmB3tk4fr`=9l`mr
zB6y^tri2BSr)*KFhv#c7KW&EpF_s^$g@sBwZqmSBZcnc@!l9KZtCVn%TZGmJ*m5Uh
z#PUb<cMV7Hk8q}AFV7;}rf71r1wJ5ps&E$0o8f5fhg}!ix+dYv^faY?um#;Q%O9}C
zw=WZeu!kMR(l^-aS6$avc-xp&NH08f;1SIzO#l1<XE$t1Wzqi~R;#5{s)NNkB$y`P
zrIzaMYWV3Rj(_C%=T5>_rEpjC55XDuXwSq_5zJs1KRyO$N*^pvfRnZLchAE0U&fT4
zz`aj}XD8v>_P4fy@Xv!o+;ebj&20*Qc*|<ZpJ~`x=j{I5@atXI_x*t>BWX$;;p%HA
zR)4|eRi6j1!c;p(4lcr*)FSLmh`+z3T!5o?m_OEnfAbqktiXxW?Eh)NL)J&=|G`VT
zv*(V(A*Vmeti$!Lso!Pc2E}szRoMC+lk*{%=bol6)f?=$$i1ZzgL$R?J3s;ZFhq)Q
z!z!B!4QOGucDaf@#4_RHlrWDp+ZZFPo4DPS9(Gl$ai)iLG=3kUfsbm&CM~vN|Kp5}
z1ru!g@|5UbSjS2I1RXq}$#!uB)}*Yl*$TI=R*e0CFXg5vGQtZok<1;i*~hI;EO4=e
zZ1P9==v|5{%<!AZr-$FeT$?Pzcfx_PDs^?RE0?l4D{R-dXZkhlBa<1+4)1WT@^}T$
zwg%qZ0Y7;a^*k9C^%{xigm*rXluU%Ho_0UrfX|#uYKS4nmmDbJgL}eH=tsfg-Rw_!
z;Gm2b(}A$A*3C{qSmxwuPk&hb>ZJ++*s1L0w!5&EV*1QM_(YmYiYI)p?AFVDaK$};
zBQx08sOXz8d@!GP#spqaepvV)>~i+cj&rc0cgKhr{GlN@O#}Yc_##aR=BoT~RTAcY
z*ViKsZ@XhWe+ag@kt)Iq(<(oToozvTUwyE?8<y-?qMd^spG0)A!4B$GqTgZ3P43UO
zz-h{Rl84|h9ltR0yz=rq5BI~58f=Zp^Gs&zel`H7<$0-+_EIu;Sf(3Z6tQ9_?df{e
zgN$Cd_@yV!G91b>di*1N>4;S~Y5yBk4(GPR7Z1m0k^Xc<VY;UZZjKFhC;h2vO7cuC
zOwF2QJ_2_|h4+`i9bWNLq(AdN?^1gUXGK@?eu2-`2oDy(J@om%yI`AR)>_4|T4~>x
z4!E?nZa5b{J5%9N2d~ac)xU;6(al`1fvc&5^|RpO4}(YEz#}g!8gk%GODbE6;d_GD
z=HlV*D7mjM;eN$P(<E3>cp-_5w-x2S-1p(Dj=ybF;e6e!Fn`$i;pkT~p3CoemvENk
zZ~K!Q4Et;S*sKNH&FgY`!R`xv9BeS>1_=#6SkR>|iv^x2W*Q^$B<%%v#CS9Ldz-!;
z_u%NujJ%_;1|wCUJKUDgJJ1aKt<}@{z?0E6){XGJ!oQ6kaFI{2&?}h!=F4T0zVOz$
zEElFUKL3K`Km6tnV+dSENAZc2&ns&6BoKa+ZdrR5zA~33dJncOVV-{g-zbl&yaQj!
z8fhTqN#5EyZUYaU^IHmpM+4Sw--JV}4chL*6<_Wq8^FKT<|#=0+bwrZOdmFwZ0ZSs
zmqo@eD#ID&muX47Tm9NNei}9k`S6<@A7;bkc^tNu{-%`xM|}PeFAcvCIdkj@JYK^n
zE=JNfwcH@}KkGG8B@AmVNL)yU{TlY`3cznJ=Z_S^vfNLpxnQA0mUa^Fc9o7lVuP=S
zxEMFUX_}{%x4>?DJ5=Apz0x6HXkgdJ+<m0I*)TT;tv6x6)7PQyGrXX@gXb^2q9VVS
z#19Tlzmvb={7VsANPE6H*w#4?^Be0}lkq)MTVj3)u8T>!I1e`*yZfLYKKEqh0qHO7
zs|R=X!CfCt-y-AvZDqHtHaJx>A(f2B>_+@YTj9-@Mnl$+Uc}_^u^#3Yk$Fo^`m4)s
z<678R#rp*rp92D}&zHd+z8`zZ`20nU$)^MsvNz5p{W&|~MOHfePd;sc^!Mp(wWH7B
z?(8E4WPA>Y8@n0}^Re9?BI9%MU;p_Cc!WdmIVn%x+&<3*{-qMsMaJW48WuTcSaaAu
zmI2<%x43#4KJqEPej6-F^C<Wd%tssafQ;{7TijJn!IV{5MPz)xyTIOe0yg(faUs|9
z%yKnG05;xOl1|3+n$9?Zy>Q<iV=r<&0{@9=u)wb+Y;wqWE<4yfuoW(;v$iGIbLd7^
z+}}nVpW={6;={XZXM`4DZKiHDl7H8i8}1$O(QnOeB!4C|9b+53>MggQjE4s~1TW{p
z{i+8pkn!?OK<!i(?53c;o8*^CdiWv|rtdtcO!A*PCm|gUv%P=wXETg%I|6LrS@ke}
zl3%@gWY<ktv8Ha6l;3Fox?3A&-WtkA@++ihT+@OJ&P&&l{Ems2i$q|qhYP>A!{0V7
zo<0aq)wg~i_s8PuX~O}}CHwp%_vbFUbA1<lD(cq{a=t$lmm-;A-JaxaB)*L^{pQ^Q
zH&rsNk$C8M@^BFiJa1KUfW)`C)DNer;3&1dJ4t+tIKuRKxdH1NqsG%DzNP$5uv~<b
zr4Eae_;zmm``Rqrc<pwm1e|NRx@QV@G8=Fu@o2Q<)T<xxhc4FMlW<nLX4?R4yzEqS
z9KNX;Yt{|(oUHM<1bg@grZ&O*r`Rnn!qrY)Qnhe&rC7Z=e6Xraw*r10>6d2)Z=j`}
zEQEDlgl@hCvsQegdj-d&ep|GIZ(lx`@B(gqWhCeVD^*4xOoJVt=CU}$rIp{S65tW`
z|4w<rM_tcoJ%N8yxg2zd%lo5;BjLoM=}Y(EUsL~Xg~NO|gT%ey@WIIVJMhHNlCdAW
z@x;ObPxz{jvYHRf({`%L5q7$o?-~dz`zC8Tko0AWYyPl<%gm4^Tq}PqDh$5hqk8K)
zyhm_@RS+!yWb}z1T(ZgNQ6y|RFLyu(-lv=86AlaQ469UwITNY#AHqA{jcTaC3`1H8
zG4Llf$ssxTO7!!lcsSr(pu-8cwe43?9IP$VM=J&UPs)v?z)dj+VkKZNuAsIg`0+P4
zp#yMoa?g4i{3WunbU)11%su%GeszLfg9pwnGT)UAzg50IzzLW4<x*wBv3kY!Y%mWy
z-|lYMRqkX9Ej-6>K-~$?-i<a{|A76g`1CV0<(LmYu2h?bMJrnmQNc1)9D~Dfy7r|h
zZurj@w>|wZ&HC*gPS~#EQ(gx=nG{7W08d$rpKOD96!K>IU<<c1UGL$*v+p^D;P37_
zSL@+~@gH>iVUyX{|H|PggFjNDaMziN`(?22%vL^OSdWv7BOhjH<kUJ0H#G}nzJ!g^
zwfBj^C(}nd65(PFeVrq)%Cjkxcv#RSOh^KLxH~H_2sZT#y(kOIn!WrVNB14i)%V8%
zT(UDGvPVcrl99;H$jod=cFD~88Vw<`XR<OfvLZ4gqEco^iAqHX*^!WbulxJ+`8fA|
zKlj{w&ijn}`M?ngpNTKgkcU&`7%OhV@)QN0DzMrxlhO^Cm#XEw5)n`5Ip7NyPgX~r
zfDI|G*m%R6xj$@FVXLgek#=wd`%s)VT>o8y-3I<Muo$2TyK2WhJPj*79x2j?-%Ug)
zn#0BRD@nR=c<D@^K1_b7Y2ge^vig2r8}6g(AF+THndL)N;GfGCR2N{Q7SY{G@Y5I1
zS1jQO<(NVl_|tt~Luc5n@Zt+eSnyuhF(+8+M%QT(xGg!AHwOMOBejnUUe?Z}iGp{M
zWYjUk(PaxsIq>CCR(o1_qT%QDEVx$f=K4-}w0J*NH7s}eOa9ht?9VastW?5v+<NlA
zU`DZMgJ-Z2RiF6+eB;S=`DWOjMQL^tc3}IO+zmIn)liMWeZniny|9hX3GW%Wc&7>Z
zXL!ZFEMWq6Gds380^iZ)5&jHEddKKa!`mf(>L1{!)>7+Pm|=*l;w${o+bnh&-kn=|
zd=&OSE$zPumpJncyo1v@nh()6<NdvK25mQ-dOL|@7aVnhIrlki&h^@d9lrBXvAG!z
ze4J*@26t%G8rQ;B!4k1NaOhplZ;xS;-T(Z!;9A>fKBaJ<PF&$Wc!1V`tQh{)Z<W9g
zugSko&4Ft@XPQM|Zv~V6S+Mm=eX%f{*xA!~2WI=LJaiED*=K$-2|npd*CqzzzoL&u
z!dpM$7Np>JFU(zU!_8+cM<n4-Yy&%jU^m$j%A;@!uUY&xxFx4xSq6?9>=X2Xy(f71
zj>C0FPCfR7&uLH7D8L0Ld$caYtZV0ws=>#1=)S)Qk9sfDDZz?X>i^7PbH%Ppda&PX
zIWA*(Peh{0Nm!n|=8+D3AjzuyG`#U8vquAVr4~pthb?_LZ53fb^KUEmaOJbL>vHhc
zYR;%FTwU(Vd<g!s!?-mJ?mBDzQ2@4b&3S(tKAQ1SQw&Ztx@(mMKcs)Vv=63OTJXw&
z1>T=LFAm2a`?6UBZ+7!g3Bk(@YE1R8BWIG=K{)@(34<B<#-S}dYUF>#H%EWKfjP0W
z%&^Tmz2gErUs3JP1oL~{HJXFRgSF_XVa3#eYrkNMnai0JFe&ZXOUv*y&$i_DE3EIW
zU$&97VEq59p#KN{Z(IA}Hp=%!^?h4}e;)K7AxHTg(pmR;xPM<z#SZwV9!uJ1IAyNr
z6BRtU`{4eM@ZA&QuPBJ)-?TOk!0~=Yzvy7YxgniCxVU3rbQe6k%XRb>{K;W?7c*>o
zGsxv7%=E}>jS*hn!Mfuq99k2*Z!awNMmX*X%te;4P8_fO?^Jy;OqriA#0k@L+Gsw2
z-HU`6+2PF2wUI2ipi=rcA1tc0(<u{{uBhJ61Lqs2{Y`=!_*+bc;7yLas07%1uafdU
z*d|t<F9O#8rS2jMhgPbThr#%}^5!D&`>-Lk>+t0R&qEHu9Xmet1;UBXn@@|u7d}#N
zT!vlp>TgNGKl5pCUxLf^Wj!Qe$>KaNYj`n5?4BH)*qK*y9(F!f6fOfdN-8Lu!EAG>
z)r#=1;-fvru=jjI#8LQg!NoOI_=iGZtuoByY8R>u_on^MISvbuZtj(X8;m~nXu!k#
zzY3+{_4dL0D)4B)zP^3%^SxDXv|#0F4l91xim5DL9aj9L6V3>8Y~SoZ3G1dQ@1chu
z3~e`R!_uNd#pLkf!M-1cu!wS}+)g+;qvNSAJP`NCdbu6XH#%v?81`A2nO}e_a_CF+
z;AO8zW$)octKRn}Fe7*Fu|c@ry0?@#U)g`XcF*A#4PhV5;p^^Cm!83A%66q1!Cl)o
zDjvY%0}U@MU=BsM;{|a41<lY?@M$jz`~!Q8$Hp^{PQwCgoDmW5dK=X_BA#8>_2WfY
zyE;3Zh~GzZ&dC9mc%!04#Ge>o*{=r|#PoO(@$K(-)abxx)P0W-^(oeD@RWq<-mG6Z
z0~f{@kVwF-9f~wW{HWxtF)bWpS|v-wGt>=zrG`6F+}DV5x4PR|i!bqe-h~kXB7Sd(
zxA;8#r7L@kI6tM>zL`O|dx?bMEG()>?>7L`IQ8@r_bWZ>iA)1rV=1^vl*^9gKd*&@
zccvB)@%&{U_uPTMt$ph!&Ofcxo|gzKt5WUPfnTQaY8%2LTk<Bv{qR<&f3F9hT|IbR
z0sbRrlDGZ>?e~*vi5grxp>=o--o@g(M;gx5{-n|fuOxV@631(@4))f=5|q4c67bjj
zL7gyIbB1P~XwT0wdWS;b|7zkji2f$@Uu~cY9As<nAr6~{R#Pj%d%N-|1mIsLY>UkB
z&(e!h2jKK1*6U0#lUvDSE|{5ja((nU-lx`_`$F{B`tYf+PjFY_;DcG@uPCv6i9c;v
zzi+r*{SF^`emiFq{>7JN{1vXaW!f<Vf3;NHKMV^b9#NQs>5lpR9fYfxH|;*bYdRbQ
zJ@8iY;JZ=Sbs!??73`j}p7;{(4w1U_3>Hi2B6|%N&{~-^!!cc=X)SQ<3rdkXI7jvm
zO&i?#O^%t!_sL()vm0QwoUy5g@K!A!QxkllQ@^<w-gDuDd@20Rax3vZ>{60h`Vek#
zlDkffA1Os^$^~#Mby)EOxWME{?|pc+%g;O;9yUqiy$Rd9Ke<^5OCNjx@H*__)GR@a
zN8g{z{<DOA7+1~|z_%y7V$Q;aRWc{?;NFNXeq;FRO9zh<IA<rtBSTog=E1olSdH3B
zLksTtG7we)Yka&jpaIW$GkX&CQCFLHRD?Y)9J^Ny`?~B~m4|8P{cl&n-O^Vh4#Q6}
zKT^MjgTGNpi^4R%`8=I4ne4-CDVQa0JNpYP;K6!Q44&0L81)%`v+X@90C#*l`;B<s
zd7C90-0<J-Tiw$z>ljVk9yr>)TK^xMnx!sJ4=*-+IQkcseOu5&4vU&j#}ebwwX2QO
zB=8$5aR*9RjwE>ZVk_pqOycqMaI|Se&Kz8;tsh7WAA9&ydIIKrs$EEoM-yk3+QwkL
z`AZ2*@DFA)ixIe__d?TNcz&<N#1NeE=lTOySWmjq{|)@-#FYVVxIEzrWe;)u<+!KB
zcxFS-oB0CXweQ*wqCarI;1q3xgH_Yt{(n5XAJp6c&p3o^??<`LqX4}+SoC`KG||6`
z7ruNghjZvdSq{Pn%!k~{;8MQqf5dn;x~8}@AC}_2Au0vGs5zXF3o{%@+e3^`y>)km
z(um^|yj6(tiSJFs;}rP(-54>VKl@27YQ@6LF81cc_#|`x%eyEz)A_3EF?ifj^KuC6
zUS{B;3hz2}WIYJxaJ;TYj8F3uB>WykyrzyTF+Qzq&6c~ubRBmjlwcVaUKdk%+wkp9
z;`0~S509F|W^zYg64y7+V3~0oK4o<^oyZS<$rtHVU{2m%52F4rXhmfY!H3vcHHq;)
zjzY5NF#O0v<1mpwie2Iq55P+vF%)}Xu7UV+F_@Kp^%EnkysSIK0sDPZt)hlWdbD)7
zVW%Utx5?qZrQ26%;rU?-D`LLHy!C6G9{xes#k&rxP?O}YKEwB)O$AmL;nN=$cCW)4
zv)i@Ae6H}t@|#h3w%;;(9PZlvN%b4tL-IiWBdo4}AgKkuU`o$G<fEg4yU5$%t2_Do
ziF{Pfu+>@w@A(~D*bcvU7&=l4GbET^YlAz*y)4t=w-)Wjjj+$Uc5fzpEki=70j8w5
zW19>oUdm-A`s1zRj)N(1rZW9MqCYpZJh~JM?_v%fB>Fpz-L;W;*z?*-3z1KLoN0Hv
z4Obs;+7k)Wj`ztV!n^Mu+i@Fy@4Tlo0v?hmeIEqxrR!CQhGT>!+OET?G)#RV@Qa4*
zyZ^yeY%f*A;4Y2*AwKX-1jYMnu>WY<X*YP3v{ow!?%fj7aDn@#S3mv-uV$vPJHYw9
zIr;%`ih(G(9ehgk%eO1A!fMvYIe2H_Efa58;Fxs#8Tg8B+mth`GgX{nOq5gEpK*h|
zThzmi;3N9ka}Mx6uP2r|aEXuNg-dYE=xJ>&IO~w_$_2P2T62Y1zc@b0dv6cRp8h#1
z3;$Ujxr|l4N`<jq^&!~M%=wcQe5H~u=OFx$G}pr%4z9Z8BMi^>iI1Iz|I3%Q5rjEc
ztbL7Op|Xdv+_3t=A5+Hg$-_1RoUqmlj;kl(!f=xwS~%E~>w+Qt)rG!+29~?6x1tHB
zG=|6SgpIb^?RDVwBU%AF;7?(z>ngBiM62Nj)|(TK&X?8U97o;#Yw**)7l~5v{kV>;
zc{p8IhD-(y{FU_MC;WrlI#nE&5oB(jfSX=*Q6GXeMyl?7gLyu3OYy+jpJkkh_3*&%
z&^$i)jl?dC4@A6XsoY+8_Gp}VKb$s0Tg(9mztSM<f%6_%^i#vS1>M6hVP$;blNJ`9
zjIC^i1(h}~Z?@q3o_9IIpTN~UMxXw|)zwxhxiGn5V^1o~=2ZEt2%gjOuuOr~Zsb@J
z`va@?D=IE<m+N>~0n8Lz{Kg3$yutZ45vGjvC*y(1eAWM^!HSL2Nu02P_Kk-L@cP$V
z<A0iQ{U_3gQehoERnOnBvHDbaJY4lBy6qiYsl8fx7v{*;KJ^xsR+9H6;;n?Q(>;NA
z>^+`C#E&t^XV$^{GH=@xpWmn8aykpXdNMec_<TPn;i(KbRVFilI3KBoTwoHMeJUZJ
zsLw>lJaq!RL$)M76FyB&l64!dZ%KcW2VWbn77v3R?o|~M_h;lr`?G8CU~*O;aevfm
z{R{))M5^AReE212=6{#r6S-9brLcXD9>pd2oLpyfF?`#}D*XaHaJ=NlBiLP&_P}{q
zspr{XIegWF=cy@tO*M171}-k>&^3ltJ1b`%!<mwwzUaXEWw%)xVfN-wH!b+A@8h4f
za4ktmiY(msCzzGkkMaFvBqR-UDx{J&!Mw?K4Px+RaXazn@R8S)+6UnHi!o#^u#){j
zkG-(nhLJ=&d}s2__8wUImjlNOc&&3Rkq%z}C8*H_7Ze2Z?}GJm4Y*#x%o#;G8&9!+
zsZOCu?Dx>W(ERWlUaPQMBidtkM4ZTb*zp`aAJJZa{XAIr7T!;Buc-}=x*L>H3>VDH
zO?JR9MfpS@z>y)c=ZN~A7Y&wmfhm}pLW$!&h6P_b!B_UA@z=u?5>~~^aMo9PU7|kB
zbfia*!+SbZ2diLtd-+E+un<MT-v)TM(-$QwnBoWXd*Xgy=2>w3-Gu!u_1ZGxdAvWU
z_2Ca3s_uD(c-}PEEt0>&`;T*K6YU{@zL<O*R!mx;&44wPD_c8YU$N}*B>1(_mQ*(^
z<aOIM9G;Q+U6Ka>q|?#}g1M)Ta%IBf+vlhQ;9D7DAA(_Nk~>m2;fAiCjzO@><cA}U
zu<PECnceW!SF@I`u!*p~KO<}t(MazAvz2gl%r~O_3_YGW56iwZIJN|*E|fMC`;9xf
z58Hl)xfqM?7{li)&c7XlKa3terw13W9Ej_H6Yoh&oq!W4jYzuT<y4(rs&G_|h)5&M
zDrz()54Wo5q&<a=IluPG!H#W54%WczkEaTV{oTALhFNuR^3~lp#9?h_{`Nw+caqy&
z2>u!@Csz!2G_P>-!X?@>cn^v1d%YrGVS|6kZ`dWmKRorjnPKMX)~K8CfWBQGE!=sk
zdn*J!QBZf43f63m6ZC?Mjr&b@!0x%pcYNU5r684m*#Djm@jl=R4;Eywt;1sd-s$ed
z@$U@D*5FkU6N!tkZP=}<DcF@ni_ryc-L0BE0Z$AG<lDja43@s5FqbXs9!I#eCRgzT
ztQnElrw8X6J!kHRUGBuI8p0Yq^X;!;=Kp5n55gx0*t1&UOosj)l5mvc9s5R@L_zN<
zEBulAl|nU~WF{uT4m&I4id4bm3tO#>aLUBne<g6A?~oKTOu8u?lLhZ(sVM&X1n+|j
zFWKLP?T-g>jKk;W_w9{?dBjScTH$v)-50`P?r+{B&*7T~U3R&{QR-E%tl*sJe@A>_
zPljLSmc;Qp#DBQLUmN}u9D}*ssu+FX;ARDxqcGL4&qHo-cI(we9#}~JEC~@GOx=8g
z3yyf3TTR4oGBx&YG+@77nCUa|{wO|i>-;+Wq)f2W6ZSJ}Tv~v&+~bys_eV|=8$ok0
z#X{~E;{8$OsRot_IGUe|ig+JH7P6W*279KnuM+Q%$|!2&M&KEak0*%tKeX2b&ELVv
ztv{rQ_dlWL6Vu)BRO-DD;{If+Yg4_3?OY#t+<~V(X);^j*2$k@-{B)oQf>LL#q;64
zV{qx%wpk{;>22n;2**FB^u7z%-cT~1C*lviql|;KCVj83!p;KkQleq687t=%c;CPK
zqM<NPYhuy{EPXPk;U?VF>>ot5N9}MoeSi2~`1?KzwBPi@*3RB=$m52m#QT}V7l-~i
z!z~446T9HyeS)!0uwd7V0c!Xl+b@0_IPBo`1|v-SX5x_*?4j2=MGv<K)M}W+TRbxi
ztgzgXg108Ht6b+6(ZAHDd@kz3A^{VEobWj#+cj-iF!}`(JKSb}BvJ)7J-BGIA2!h4
zS)>5ByLK56{W-Dbox%}Vsr#cZ(ckHgG;~VBS`@W*qHx*YC@T^8Zsd3%@jm0hhJz*>
z{PQzcoE5C(A6>-@%at<Rh=8;D{?ahPQ+HlE6ZzAV`EwQ(EY+AbPK?)6BU2}Lz`fK4
zed(~eQ^)9fJ@P}f5Fat#dUfpCT7hk(`e`4)&mXSG&BE5wnU+Mp-xYTB;Uv89Rb7V|
zUyYt|sgA;P@}z04a4Vyc)i4~nr|=dro^0pHEcd~u)(-w1gvV@W?sdR&vR%^yaHZ0~
z;Z}H8*D;$PM7fpI=LXoqy<dM4)(JDYQVH*UVtelw{HohHwhS(fS&dkRMNcXT<ini9
z@;j(7-%R<N-;)VzGPTc<!*|*fZIa>NH>}w&!-q_+ih9BZ=QqWP`F#_|&6EJR>QzKS
z8N741Sc*M-GD5ka94^WcCUu3Eza*=7!8Fpr$L!!|@fH@u`bf>(zt9<8IY-w!24~9M
zF(Tsa5088!_JcUbZ#TKXX8J5a#C~>b(SN^e;V(?{Nju@9DMxD}UeqIwhS*OYmN-m9
z#A~1N;vv@OU)H#MiFi}0ySp@Db(NDH=ZSKk7+zw3w724rj3YeiLp9+HCvUKAoPl>|
z(*JRVjVRY0h|iO3y6zqVKiT4EI0yGo#D&~~EfTi_i25ifxbWYH>t2^s67k925i<Gk
z(WPK+BEC{!qO<{a*FV>O7PbwdebxvUZy%B(;$ObbFPns;y!=B<VY7!Wso!Dpuo5;s
zxZiQ0Wfsn36)Vtz<22Jsr-|buEag>UOOK6#MY!H;q+JQt(|y)F4>N1go|A=LC%7h8
z;r__*A4lM%#&7*AaC&pYRWX>pUH;DoJabNp<^Xa0-M`=0VZKHCEIwFk_bFPEXUKn3
zBVs)8w^8QxzbG&MNcU_H%-3nlOOA43@tgY0@MePGuAQ*L&FXJ7aPFL&6b)=FCge^9
z>&h=vQ^2oCqVN8$BkrHfVLJHA#)jZ3yvTav7g0X;B<b5nm}9k$lOE>W*x^15A9^~_
zNqnA%VMj|Hoc(Zni53>?l+&+)fBv<sA>s?EJE=3_51rRP5$B)lkh_}(*M6vuBI3Ec
z)~5c0kJWcn5%HsL_C7vv=2b;sBA)Z$;$chp%TcX+M7+J*`Ia-VU|g#;C9Kgs8K?rQ
ziL`|i*T-sNLahYPCvwXX@wWsi&T_%r%1l;7eD|d16g#X*@<N6h9%<-gpoTq69$7NN
z&$?vpQNU|fs(i%#IzUx_X08_Bw~5=Q#RR8a5SW^QLqC7wA<pM0<;O4rZ&cTvV1a#y
zzh(}>-l3k{#Q7ep%D!xeS$Aq`u)&v)-ZOpye>5TGVuopCmjfQdb^g6-9I(?>3#v-E
zT{oJ86?S7Nlgxo<_nuPahP?|In(x6nE{yE#@Ia5<WHkKpYmYJ?9QydBS0o(w>dH>y
zd?oH`l2_nXb|F!I_-A_FQ#W`=V&5E5F15xTU<U7O^Jfu&$u3@}G=WRH#6NJt<~D23
z<>8Fsu5F^cj?Mg(9L(RJ@ty~cXD;v;hTY6b9})HQxT5}31b!%5r%T))^Dlq;wrkM8
zM-B)P&tu_joca!wFU<%rk-@2Hl|$<&FUd}s*+P3Z*-|^X3Ac^RZ;Zo2g4qfw@SVqJ
z_=)}}uEpMw1UIJ#{vrBn9gY4{FkH;}g_r1Wr?0)d9t7uwkggN`bM4)Fp*uXn*q}l5
zr`yeAt(W05!>=UQ;6FZp&1_-*3T_LcKk=`*j$eR<yu{Qu;U{zv|5?C^Pp&$V;(FVr
z*2v6Y-hc=*qCW;**qx>av$4t#YQduavU#LoW@+soI`E0PfJjA{$71X31z0*xO-cr)
zO4;LX1Mj8a$T|+c*SREL2b&-Np}+@IWF8c%fw%Rz`q<!{uSU8}aGA0A`8{x!MeK!U
zm`(rpYi?LQr|Q;An6{PFoD*iV_Pp{O4sSX-vm5p+nWX*-3mRzhP{YGC_f|i{iBUJI
zNMMpv!xvZJU$u^B{#0YXf-}No33gMtKeq^buswW9(Te{0);W0^zFI^+LIuZNI!Lk%
zb6If+v%z-{tg_F+L7D-_*a<6E-&%zu+Cr`Q;HakwyH{X&`Dt$f_?3p?^-Z|kYx|ib
z92x%i?i$>rdik9cyep=D=RcU6#Aj0;9yW-G--3fICm0mr_}6M%WVrr9o+TM|xNx05
zf)uu*c073kPMU20MFXFB<LRLXFNDV4q=L_A{|q&NcTH)`F~S>68zp9N*$QO<J?zHr
z*J1&$cQj3~!tL`(yBuLsLD_#yaFISc-zC_`@5f~h_(Ap&7hgE`zf+;a^AQf=RriFq
z7#GWk>tpm3bn=I3m~-Wc>l;=}H~kN$^I7a6?zdB3dcbwqw?FIbZ#cn&!SO0wmNY*<
z59b?_S4G194r)|0u)LA)z1#4wYe|{k;I>}p=W(#z%FzQ~;1^vV%VS_Bm&m8@;o-@~
zjSQIFqx*e7Y{e!rnFg;Y@j7?F0#TcXi(p5*VR``{Td?CUgi|Jp_BO#nN43=-!jn?U
z1r6}i)C!4GSi3$+9{+h*rCQrHpaI_RQfFKSFMsNDsDrz;=%(`E@`;<3FJU8pL6U4Z
z|KYdH=des^U~&p9!VvbOAND&N_Amh+rx|<u2F@NERgHj8Y^a@>fIl>uPu+wWY*Ho1
zVbg@lK!4a_n)m7w%txM?><zPqUb(mcPaIkoae*5TKKMY^hWE*p%Dwh*>5=8<q_Bxd
zmaQfHY0Q#=38u2S6lehtbLDT)!&f9;GZ@0Nf~1<<u*SqKk&`e<(uu>I@EX-rlPWAL
zykIT>AHAZgqYSep99H9lxmNFgmW3zY`Nv4Wr@t7i9fp^^>;1&x;D*Y`18|(MMb;5G
zNMR@2e%Pli8Sj12-+UZPd0<|RSA)uMX%fi`c378X$Ft+Go}j~NCU|3Bc$Xf0_1Urq
zEgZ07xuyfVJUC5G2FvaDRXq(ewGDIsdyM(0b&<F^5&uu6Y7L(JS^b|q9FSVmxdh9f
z9k;cGcZl;`n1<g+TEG1dzCBsJa|}LYf4kWSzR}K`It(A(>qi|5^9g%D8ie-=Xa2eg
zU$*?J(GBYzxuF~ncO4Ts{|f%-lPwwx+rGN9)C`M$^6|-plLh;!pTL(*60OtW>y#>4
zmGJl7mZe2-;<#Hae)FgDt=T)J5bovraxx#@I5^n&5Z+{4exD2T4b2vo!WSxSozq~Z
z!R)05n5peXNHR=Q_4rdA{GxJ+EgGIwrXp>D4PI^LMZnCQoO4aE7@OPCn=m`4^X?aL
zY`D*h>+sc;tAAVJ1i2rlec>vH*8&~zThh7jUa<T7*>&Q0_Lu=WJ2+|i5KlMkRQxW@
z8eWQ2rS62wLbN4L!$#~kCHmpf4ecjpFcVEaSr42wEHSPD|EKopz#u%4d(d4C7RcN)
zOOz|lg^C}5FV(6uzJr^#g6oB0GpV!6&)`q}qoD&;7!RklIEeaB3l6Oh!tNBm+8@Cd
zM{k~d4EOGx%`Ju-**u$T;QOV`2DvcBGCgB5Ou^oAfOsD7&aa20z});#-Y3Ak|H9vS
z!-3P!D<k16znygcgPC|UyomPjx-go;3N{TWHMj=9;J*}L4U7CvXC&HFdQq^P7Hl|C
zIqMFeEVL-qffs&XXmf@agct^o!pn~W?%BhaGDo!(V3SKS-q!HwP=bdjeB`Hz;Tc%u
z)w%EDu)H>>uo)cKOhd;7Z>AjIVE|_ezX{@j{gkgi*MjYgdykXD-24x+RA7hW(Up|2
z>FlL_(y;5cx7fQ%%wNwO(pG?VhnngJVC}AK8X4GGvdp^yUgxqrqzH2vt&r5gDHTH;
z$6)(0wL9gog?F5?D!gtP&R+(zkkN<{{aMm*s3s4dQFv;o2^R{otL4HSuVoc9;9g&+
z_o?s`uZat~@Sz7qwkdGy-}Aae|5iQoXDtTq<)rd3f@8kRghatR@@||X>Kn5b#ufrg
zN(%)M_oL&}v%DZUp+3Xe1g<vNebf)0YEq0p3y;R>yzqeom8t@Xd{JYQaoQFBTVs%O
z0q+0%=KE#1UHW;{c{t&afWIy5$9wJ(@qCJeP06j{YZ<*6ME)?UFHEz5ZU5LjbAr#&
zycaTq^F0SkFT#tPB2V<-kA{oCeBggit`BIzx!YD>y<jiWw~os2?`u<Jf$(+rKg)_R
zrKs7WAN+yUAY2;G<{D-Rg1?VmVU~ioUY;Pi4vS2-KR5tab*t$_!{!O(&jjH|rKQqD
zd-a<?XUYY?Z4o>}wCAjT->>YjcxJQ)eq-^hIJU=|3BI>)hf@kX+&w|U0Gs^1XqpVS
zPb=P`fcLHs`DMV=A;$b<u*93=_G$3Qzv7zBN7#Ru-2LzYoTA^|vj(fIc&8S?ntVdG
z^KcczNK+a7YVh#<Ec};Up{NA5q>Kt4hx>{%x+~#T);sjy;F!wIx(fJm@%;S{@XKn8
zPqi>V%bLV{c&(xKRW<BGVf4HQPLrhn*$8WOn;Le(YDZj#h<tE^r((PfKE>U#N#u(w
z%9ZZVV1I6|sb)B8X%|^Nyb*ADS38{Jx+}g0zVFw*_8h)*!%^@doTkIb*#*Bbw|i6q
zuado9B91rDXCF?3XK&K5_QDO_EDm?!d}YTSL_XA@^7s=A^GN0ky@lUJUAh$w+stk=
z68TVR{|oj|*xvA{%m;X#{7J!0m?ms)7m*JyI9}=XfW=aHB|pL^Qyk8^!AVR3oWro{
zxz>3HSm(|I<*%^yWL1D2tf6Pg`U(D&b~(=&mbe;xY#cu5d-jkK{Ic$o&^NfkzV^8m
zY;tZ}=LdW&Gtck@+>lts_Z@D&f6h-DP8#dhn1zGHw8*4j$5CO)X*gItFZBRCm#b*H
zNO*s=;C}dG#vSE(_;mJ<dLH=xK%w0#oHp94!3B@qI(=*je)>Dybr&pq`*QF<nEbl_
zEeg0c;F;@R*kn&B`*sE9XLK(T$e!c-5RMTAo3Q2Iz1K+L8|SCwSKy$_q=$uJlSg!`
zlW?ShE|(yz@x?u26wZ*LFH?cHt3vAs;i+={yGn51z8Sr4`078NFM9CnVQc$Wa8SkB
z&Xcfv&a3rim}~m@{3$pn;(BNkOn%pI*brW=nAlqlkBLk3TfrJxCnYQ3OeSYqOE`(+
z@ry!u+*MuD4t~#TW0Via82NMBz$=>_-!tGEK7Hj&aK5FFM;dItBUscCPDmXkOMq=p
zoHB5QYfQuAW8tlRx8$8+r^Q9VFnHyo;dxJ(l<MxI5IC|vSla^*+qvUJAnfs7+vPtv
z$v3~x4<>I3u<(Ju^wT?dz+bEs1Fymtb1D{H;Q%>T#{f9+9LFsOSXWmx@+N%qRz0H~
zocc7%`WpOKFjn3ezI<IZG!%}?5q)V0^X~O@4~7>)@0`(s*Yx%!MG(iIJ2asIhp2`+
z-Gb>2$mykF&wUax(QujXy|lydSMd#b;(U$!HD?)MQHi_fqu}+JQC~Wky{^ZQsGoux
zJxNYE-WQK(coFsEtFMT<2e;XL(D8zMd3~y*;T9=O;9-?U7L`bNQTemFFZ`@#_>w;y
z(|qD0QJ>cP|NZiXtA*l?1L0Wdk=t%?{oY?bM1A<L`LMXaJFXwM34*iTJ`~x(-V>Rj
z;c(aPE7CUbH|+^`qJHakgRf7+y$WfyNia{x))y1F?)~T71o)4;jkhi=Z7cOM72cLy
z`lk&WZTdV)fkWiXlT~0_S(e}Vu;+W1QU#cS(sb-TTp;yU`3P*2J0VgDA29uFE&*2*
z^RraI^b{v%h2S|V2f13<px~wNKKMFAjzBg1srKM5PWZ(5=!r(SyRtN8FU<R6@8JfR
zavzHrBYZ{D#Pk{bz(1~*4$j$Z7j1%hZdrfXdWd|u^hf_W>~V19@&@c$G`sNx)@Sr@
z`T+N~F!8j(#%s%3@8LQ8*Ky+WhK7X6pTe}EkDG|=8D%K(Z-K?qRFfXTl0KgI%VD2;
z`#p-`zru^Gm2ib|n`Qw_p;fJ%0}Jt%?aP7-J;kf<!!}df^qH_!X|#4aoKQ18n+&IG
zl040XW%<+F;^9uJrxQ_dM&0dfqJ1**h@FjvH_uK+63?^#LHPVFc;Cvqi^TKp5nr;s
z4gX}xR3iGziG;$a|KL+TahybdQjMn}34kkCep3+bkHy(8`3n5a?B_VqUnhp!sJvnO
z3uoRq!PiAN?m5G@&kf3KVG&9nCO25U@<<4gPm)%7kDZ63K8sshz)}W2<rm;@t@*lU
zFzx(nH4AvhVwQ*je7lyt?hJhC0w)WR&%`>Nbx*;LajZ)ka5QOsiwP00&GDMZhr)rU
zf2hIIs_X^waOA;k%M-9#R8G7c9F{n@s0at#%5jy1d#evQD8rFw#m`8<IWbrN$iijj
z2W9ueeY{Ux<zelQhIISj5dotV5x6JYbcPe=J#?E!3_kZfq?HZUont@30c#jVXEDM>
zUV0C>;IiN4M=9We#^UJZGPKW}=X;3pVRGax$tv8O&^P)5uBg+OqlSBh4>vu9qt2Zv
z-32EesBo@<m0ojgO_ySSnVDUu99G=q^Y{r1UTIz@<|kp|L(e*4&x*tEv*4Ebx6(cE
z#J|-m#Qf)KNdbEv;nO~bF|a*FdQ1V#^f|oZDop9{T*4OqeV;RinBPtLm)*CA@A<eL
zAm;Z)-Ui{v;3YG9N@D&PyzkJaBCN%2s$vMY`yYStqXgq^P^vAlUQM%gG@68?1XY<0
zV6EAgIWJ)SGCvtJ*n)9EybX3bzhi?acXT~6T?EIyk>DcY_YI%(DTKM0TD}tJ7wo-v
zI0k;@I!0;%#|OQ98VNsA4tPb(r`_qu1Fpco!;+?n@(2oX3U^p+TB`gMtRUvpW(G@g
zs`U}`<(<xP1}5-5y6I$N*nfW~%`w<tbiS5YpDaCGNRfl-9%cp-^Y1;RA|^cWr|P@+
zi21kT8@(@_aQG{ITT__2F*t)1zVt*X^c?)Tw{SlR%zA!Ho2aj%@yPgOF`k#g_+?8N
zFWlU}!)>lbhlu(XzLF5{f;r@Fog(JzLzhm~zlPKPoMI*FbCfg4y8^Z-7d&bOv+TT2
z@(`Z!eZ)vy&l2x5kxcmYr$8wic;}g~)oF092=y-FeEyW%pKimY%01%5^J_`qatedn
zISZGF@)Pk|LauNik2SLctYG6%c^T$dUzxRrIVo-qpMm+x3h6Gvx+3=+EMN+1#YsE3
z%Bns_6Lxl+q9oc2@4x`N2ApMZ{i`EPnm(s`1a@~2Aa#SwtSEXV;knmOMu_zWbv@r2
zFRYMYvE>1;^vDHs!xVl?gD&vv`coye@YkiVHDbN7#CuVe2Hrd;@WvgM$_%plQ-uA%
z@JEZjaJFgk%o;rEt>57Z>)JltJqfR!8l3Tm|2em0jl+#?p3jN)&a~@8`v4qyYWX|S
zAE+IF827<NCla3$>leQilE4;NA&lnB4Y);(f$}LVZGE=u8vNFcGou>*$=3Tb6khh-
zzrPA@jdFcStask8DI4a(Cac4f;jo6$$&XoZ^v{5n5ZK$sc4sV1MfLS7vEGrPb&iXI
z^MivM!r;pC;JN^KuhG{LqW?ZGiBR{0c??1yN5EmDInEd1w4RZ{cz9l{@V7mDr%b#x
z7S0*2jIx9+^RAEGfmed7+0Mec`~r;$@L%$7WgS?u)8$htTujo_r3oi=G1U<HV}|AX
ziVS>T*z7&Aep<F3zi|W(DBUc-3p-G3JP?4}>*e~0{PQ~R_Ypprwe?F;I(%t_&XNHx
z4Pxme_AA6XsDIGH!}gbIv*8o#ELX|kuNkRBh42n_dMZ-bKv3n;eYowlpybj6%rEJj
z`itRj_FPT#a3TBd5+eUS4V3!+84j#D(nYM#PB@8pe1w-ZM)QdMsAEh@shzM!()tTx
zJtk%(CHNZN-Kbyr5T1}bUf%-$3bGrhhKB|uG@imW@pPq+;NA`mmoiwCnyb4GK3FTg
zUJUaudDPdymtQJJ=fX1I0*0I5H*^R0X2VIZdS5<)w*!xsrNAc-4NkVgE`0lrCc}GJ
z_P=d`ljkJ5qhQaK{lAFy7{fg4=?GZoT2FTy+*2VD<Oj2kHq#U9t<z6_-}QozHPdhQ
z!sqhI#GT<hGE%PhFlEE{x=XP7xDnMLytQLl*Ba)_6hAozi=8aCI|pB={!f-zZ(X0N
z`)v%*zSH!ZhZSpV84Tc|{jv5x;l)DFyc6(*))W;nzUBJcS;@mZw**${VCtOzmL*|>
zns0V@;16F63`yZ?rjP&Kg*k7EG}6EyxUIiTz>R_r>K6*p9}Tp-#^G$n4|-GZ=!Xc}
zW%!lTRl6}bS;K980hTQ(|2+)%%jU^%!wiv{^zUHt&mlrvFg<U;{ciY$T$v-y3;aI&
z7J0)f_}$(JV=7q8{g{3W-19L%i4~5qY_NL*=l#BRg9R>5U-(@KlkSUoCIHXS+tNRT
zANbpr@xjTtY4`JCZ#suL3AjD;Uwt;bo+Udh4wHu-)xQfbU9b9c1kPo;_#qi?V+ffz
z3=df3xJ1KWH{FF*V3DL>!QpV>E5+SP@Z7;eY&YOHZy!pXfQvqw-oFYjW%=`{!{^?`
z$$G=P_f0CDgdcsWYP|x-&pi^=Cd!Y_n>oQ{(|dIdVV!LHZ;o)p<1tx%c+C8yj}=_7
zU(>=AcH_82VhK+#(yJT8Tax+7CNRxsSGzN?$f*|IQ*dp8jG+ab*S`5!8~#Qe?`{Qq
zsk10+!hibB&soBs*-pJZ4ojAo1=_(TOO93waD$KMMH{$OFn?JJ&N$0l<POjOZl{uf
z&!2yn<O;vLL4HpN-sQ+w?M)o-zguJ<tb6HOwkI59eX5BAW|`jq%pcxScTQ_B{B~xl
z^gsCdR{BQ<xM}=A_jP!!;=UstyjWbE7XWA3^2cozpgov>e|{4dzO<iX1J>uvuebqI
zy>l#If-UhE$irYAxy$kkunk#SV<^0PXGzZ_oRi!6F$!jCD>?lg_WG&yI2>*Y6218r
z?mh1LHWuEKc!0K_IR1rXOEkP5>Xh>umW?(4k_6MQIEb~wRaS3n<KS=qCQNEz|4&Qr
zQ{XetzK&KAKH^cH2;VqwO?e*<atQBDgRMNyBxb`@>Xe0d;GTOQp2Wgd2iV#(VaA<(
zC!*mUB>X<faL~T4l*@3_ZoxYluv2>*|0UQ}kw!8BmQ?sfp#=BT{WVO5Pch9UD8T-K
z^q$213hS|39L>l0^7>oCZCEGOF7Ojv=dH&=JYObvhCoGFyyD?6qW#D_|6Ndm9e0W?
z5$#+2<{zK_Jj^#Qm-oxTiLOI4Z{ZlenBGbBUt!);0a5qyeXpp1iZ8Gw6U9Od?5y=(
z{w=&(A%F24tP(Q7(G8QFocMSimeNe>Ce~}m*w)1q;j`VT51Zf)^~@Y4nD#_OSUs#I
zm-G4{ydIl)kyu~Od{sIw2}`8KsXT;7VwD_t;qQf+{Dp94&CoDE9HLgZkqcAvyxqYB
zld{x(Oota*9etVMd6k}OVtxDd`}r(VSn>V0J8|#|`On?t@T!Sta16}+Y@%>07w>1L
z!|lT0C=++ie{j>|$BM*yoR9s2`aJAK*TYS$*ZU5P*Db;qE|LEx*7sy3y<fh-^S1;(
zxWkKb`le&>vnv-XiS<~Ar}Wi+_<+gnM0@z}wTFvu;f^=M&em{<SNz`R@NS=Ny)!V$
z*3Ouh@P%MYVPgHIQZ`my4d0#(r6ks0j8#Sl>flQe3tx2zbBmoSgner{+tgsWoTQgU
zaL@O|3?-PX-D&PF{QO<pRbssr-QI1J4tpnSnje7=JjjZOfK7D*<iufip{>7Buo`|i
zAp$2q>ktZrnV8g;`QW8S{`6}w|KeyD7i_qDw$%k573X-k2NsArF6$1jW;_pLg55Gn
zt*qdJOwvm<aATt3fHj<#QLjn?Z&@*J7{Yqin*zl8t7pK%%@_`C|H$wc?y!+1Jqd3_
z@h+{xQriB$dT^J}Y$vh5H(e){r2s2eNR`dNpE*5tE5UtZ+-byqWBS&~LK&C~+fBrN
zq{Q10j-&9^TrJbju+OB7+J3laAxVZ9pYI=YsyzVbKEBB?08>!2jqZgvU-mC{!tX{j
zj5%Rp_U=w%K45P@?@t3qFYuNT^M%33tn;*RtD)}>V*X+<>de=ggZ_Vynva;jbcyMe
zHNzyiq8r3~=XdLmw+~_S!rHyW{6)a#)rC^nSA2N63U&>%3r~mRr_VDH^A(-{RG3rY
zK3ex};`rfA`Ui1v>=Rc7;(A_Xw=_q>bL@d4#QHU9Z=7*3%qs8dK-4EV|H$QQaQ>jL
zaUUG(LALD;w*_e16Z41a<d!KbIJ3dxzuj=2*rdrt_@QFh0I~j#-}t(A0d^0|o;UzM
z;3TuV1V5N_5I73&*sB&`2Rq*glQ{;<*V|4y!&-K_p4xDqQ~X~?nDMyREn@#uIHKIi
z9rn5>+jbiMz0ehO8CGg>cy|`IiJkiC3HQamS|Ro`1Ae&sdBB}An-oNUqTG!5?gytb
zx2O~QlXvm|XT9JI(hYNOSTwfa;#DG^(b9+LzxQSMSNvg`TN$^B{Wt>!xeLVo+5B?h
zC9(gPJjCxy+#mJK!Vg4#IA$p`c8jo=)1FMY@*%^YAUOTMIuT+&$e@zXAp(x-^m8bK
zm+NK%L*ZrCUcYkK``DkUXt;hNriRFWI%`$i;qc*rnb*y5#qZ|J@o@QzBJv)%^3tW7
zQLub2E&CgI@yC_9B-r?3huLSCk6{-X@w^wKq@9R-e1v|t$6YwQXQ5yYj+#ynON14U
z*)|aKvx^tAmx=cC_fN~v8eA9n`5MuFNPo)CuEV!ozfR}C_QlKlDUtu(#|=p`;oxx(
z1!{QH#K<KdX8+cEh7pdhx%oR6j?X#ex*MiR53(zPhfL}-iSfl$BzqtMmj1&YLCjB%
ze<*e&?$6Vk*Z2ZqwtaQn#QlxrdP_^p7rZFiD~a}}Oc8aF7@wnC3XEOhInEIiVtoEE
zTRUkFdrkP4=faiZ{^93g9^ba~Y<Mv@n$rw+;XS!p4cA^i+@ud55sUs-1uuzc8J&QQ
zbv|&n!lHT`4k~b8A}dV`%wWZ|AqUgu#|D3dPn<Opl7MXrpSumiS4%E82*H6jS*BLu
z)h(~@obaHc%G(t<Dk{N`8GbYF?!@*I_1(uLK?!f)i8I>+r%Xt-ZD*tZT)s7X6dv|G
z|KBpa$(%MM3sXCV?3#gxr5z1TU`o<AGGF1|yB-Rs;5ym$jv-k6c#dc!yqYn?{Q^F6
zDuwkn{PjCWRU@qNZapR+{#n`ju@ZL5oAAF62gt9w7sEks!fGDDa$D7*`LNz6_uO(g
zZD@LLCT#9U_PGg`6ux)xF8ucS^y??^S+lpTvGCxVD`Xw;r$YhnBVgvUCX4OxNLA(K
zn=sS+Ua@zuIlJDCt1w@78QWW!Z!whFn{X7T$v3!gY`2IzOrNx>^aa+U({FNw*%vGV
z=HS_=-aZ?6Nk+nP7Pg?FaX16hl7{B~fyMXS@Hd6Ogqz3whMlGw>GWW_7um1L+wnf(
zx}bm-JagNvdM6y4Z(FMbOUaZjFv0V$nmgs;{qnva8Q?+HZL7m@f>|Le51g{3?<Ecw
zrMi-G!3Hg{l!EXT6%xLE@Ua6`3H<Q=(Dq&Yu#VY^5IY?D!1RC!%)rg^h!yVp$-YMz
z_J3feK~Fd`PwF7d)8o~<3s&sE$Rh@Stf{fx30uzmRFHxl<@<k<z;lNm?Uy9tgP3ow
zXQ4l}OP-K}r)<P`t--VOE0Qv>KBas19Bj$sZlDO~Y2G?83-kJ{2pxrIYH5r|;DzIt
z)Ro~99o|nv@IPJAL&xDL7F&-uFlBtYo(3#S?!D0sH&To<D8VX?3U!a+|I~C2o`B!|
z(o?O3HKhi~RN;Asey1EbYX4yYZFnj3>&iV?F(_n$DBpjy;87^-;QE172WF+OJ{AnW
zTe&zwe4Zkktlbs3EWPHpE}WsFKIaCjyklx4KCc%uEHhZ#+w6lL%yooG+5{%oXvoln
z7uEU}<zc>$%k}#3f$fh0a_}J)tE*aY?7dVu9{BE?m^1^pIybMC6K?MyIZs?~M&J4C
zq(u2C;Q&Lpocj_L37n%NwnH5b)ET(ha}V>aTS`19;qI2vU0ty6dW;Awe13E-bUhRE
zr`WS6xMA*UHik7g+RbB?1wOsdabXZHP?X$Fv?s}(v(x?XgG&zOM0-4{-`e{CUU;~t
zYcG5)dHi$%%;BLHw;K*zys#%4mah0w$_`%-x|tmT+if1UB;p;v3M^iP)xEm>h<Lwp
zjQ|HYrTF{~T6p+{=!z69@!>l+GaS=sa7_|EEyUwY0y}5iuKJ#V@9(^d45x&H(km6m
zV7w-0e2M;bytt@kFdgefhK-e{u-i@>nIV|E?anHZUpP2EH8{al*TR@e;2bGQjf*hl
z)0Ovmu(qx$i2?k;dt{j?KU|g^sSD4j8`cx~s?Io1QwmP~EjCyRQ*5pF9fF^l7o`=z
z=OjsESm6|kz?w3cQNWaq1)d)dj4gtjj-6B92^Sb?l~llOH%dE5;Nsj@DGy;ao{ID9
zX~?fpu~pS@XzSM0DxAC=8%5;9J^?bu3AjGZ;6WXHiQOoD4CV?q3VICJQd+e2!|JnC
znM6L!Kb5QZ1~z#Sal0N~9LfLM4$~AK&u@WwLw;U<0WWeXUu%T78dee?!_AGescrD>
z8hP$Y`0g2(ThCxtyW^Eb@D5*=+*j~iQ;<R-e9L!Fz;pP7;%&P-Ft<_dolf}bbjMsG
z+*KtT{2JD1?70~U)6%@X_Xh54r=`6O%eWaw_Q2+Aj5#-8LG_t}LHLlhzUVc$v*=Rd
z030xPs@WTM+1z|M3>VczX?w!?QR`tuKKJ{T>|q0EWQ5-T1k*A0Y*@jE+eza_;K<hg
zSabM?Nn{C;-~AOR*-c^cAj-Q$ey=}C`%o9Y5fxcA36t(qmeYa78Yr^A!~fzmx>R6i
zwOdb!d|%M+ZKeblUm<xg4cjIJOv}JEegSQZu#0e!*AY0p_*eNnJYi5yDF&Zg`aH1(
z(`J)!3By5lrUM(W1qan5Zdf<}`P>e)?|^sW$2eiez49afP=2#qx_38R^FD8t0_6;^
z%}+DJ+<JS*$l$?ktDlsx($4X{ME~JGolde7W_@BpPV~Q;Z+XcZsmM>$Op3g4TIWE~
zDjfXnx(JaE$R2!FoP$YHKBx=AspX69GcaAehNJ-8_+#_z82npm&XLIX3OwxYpW(Z1
zW+oEw;ZmWU@8GzIr3fOwdwR&S^}&4<=Dx>Z6(fz(SMW&ML>ZCKObfJI+ThO9nrTFS
zTpqG8c>@2m>v&@d|7<e6SOaI+3pW|VHfq+JWkmc`=CU=cSEtKR1e=JijatEJap&{0
z;RYe=J+5$MvSM92ysM;UhcjH>VyK%4XK*tg^@nRs1un$E@5b!~|AQ+BWLHArls7eJ
zZ^2)FZ&3unFNbz&g}{$r@6PxSZk!Rejf9KbmIQs^$zNUuw_%BUlnpL0nOQ|>3Ovft
z)O`_F%w6|LhE)>YT3>)K%`--4z$8}1GnR0n;u*g*nCW=ybyHZ4=|=ej_~Ku?L__#~
z?(_5l*!0jfVJ(>LKz~gcydrS&kp_Ibk>!2~99Lzhp$H4KazCwvzmQ4v%EJ%Ltcxq)
z!^>K>hhdjt`xmu@^B8_gz;qskkE&s*`2#`1Fo|bjS0g<0cb-}heo8Y{*8pb}QfG0(
z<B?+n&tTd;-TT?$Rw03wX4sW;s*w@q5o8~E38(%jJV6ihwOX`4hfDO@hRNZE<0rp$
z!U=vi>~_N6KZW<ahV_qS{NA{W&l~dj@dp0$!tCZcyvM(4um`sJer3-hEVZ1mFbMbb
z9LS!78}1B!9Dv78Y95(@d1IQ^hGEvE&89JUMC$k05d6+{@2L?ux@hR{DEx+{Yh(z%
zVZ=1^2|lX-!|e?mtT9LS9o}J*y50>}&I>JlgPEsmqF=x?Hh*_b!-e{GtZlF_oy__q
zY^!>+qyZM&revOn+sVYG>)?-NO8;hIG4qqJ%i*7#bQ~+Njo<RAGI+dOjbaIQ-p@3d
z2U|R$<zI(=i)!6-;k&M?bZhYbns+<XV6R~ck-zY+JAN@KFj?F&mQC39-(CJ#I4k#w
z4)rU{mnH|LBj9goGcuI$qrBDEL2y1sAbNPSB+mFctgbMqNDFtpd^G6;`&&m^FvGva
zv^~6F-}CkAOt3?~6PYtCwBxeXUf9oRJLVD`LUQ*cD;%xNCtwX%2xvHP!@+h{rRQN!
zL61|Mu-x52Wiy!f<z5#7n3co6!x+}>P(RHFUnvbce-gg&W6E<sd^Co6N(<hzz;r<f
zK5|tyP#GSKuJjj&r<<OU9fv>N8F3JWL#V%}O2Z;mK0$}!gT>AQQZRGWtJ4QzI>)M$
z{II{{IWKAW!<nOlJg~KF=mja5tMl9?R`^0ZbAUYjnd{3EGu&#c;3x;T%#eodf^8Jq
zgOp(3%n$}@SdDScMG;<o^&k(oLgm&)uW)s^@Pp97?G)^fE2Vj<!fiGuTUX&h7S330
z*t7rT$rbo+q@$w-tV7A*H3oO_ehbot_jTRg`T`$nrf}7PKmYeIeh6kCxEgK*H>V47
zyn}an<$4*wj0HO7-EbK>bF3M>D%>pB31`t;I-Y_LU7)gVfQzl$gHFTRGJ(^zaOvwA
z7jyWqUCy;~_-dL__<7hom65UxW+(IZItTaflg-G3YfRq7*utdsd4jp{{IlQw*6^O(
zj`~#CBF;4VB5al{t(F2y{qqTOfHz0ZzK?<3^m@}>VBLeyFGRt{D~w*3V4hKi+X1i$
ziEWHKTovle<Oj>jh4{O|qw|>s?(j_8n<Q^I@)yY=S2%BL;f5!y*|h(;J$#JvXu3a4
z#UG((3m2$cg#8DbX+HXT1{Ul|&$$jCrD3>i0jtqAL|=t>$H;CQz~wCKg&{E0qr`AM
z_}E$L8#iE;;cpcRu!n$4S{NK}q$n>BkBLOy3WcZE?0O_&CXc7tQLsf%qqzjE>OT?{
z0n7G}&j`V8%G8DNa6g5-_dfUtyZZHL_}}4(%-yh7_T|(hc(L)55F`B6Jv=l4RvIUJ
zLJ4nsmt>{Fr@PJ6$>H43<G#tTwNjz;uRF+}_y5Ibz$1aHzn0*t<YP{E;avX{+~44j
z?1mv(u<x#<!ckc0PSm+{_)qd!Zx8G=lIoKS9}1K>-34=muFDhW3zf@fse+?AH%;!t
zCoV4BtAML0?e=EE`^s(4rogU-mQs1J$Nq=oN$|F7K20`kzPi3E1m5MFB3KAhJy*RG
z1g~{VzPksXXL~<k1*fpFF66^)`*__g;m7pJkBRFYrH&F)hnLQ}_Y}ZyF1)Q)fsar8
zN+8ZJ-=}zGKP+>ky_7hAjeF>ZAbiir#3KhjdwI5Y7wnwF5%~bNH<41IhMnxcA0y(u
zMC;<GlCl2#on=bI3m9*+Pr#pVsIU|9Wa(D#yWn}2B`G5Q_^yHr9k7yQ`fs9K;xj4N
zBRJ@l3R4k0e^<NUA)Ml~^p3cnUsm#Ll3@{s*af2e!1|Aw1bD?zvzoY{bfc;d{NVZ7
z4?V^3s92b!FPuSZQApI+)$ZA82e`p$tfdUDAm2G=3#T*NrV{5%e62`h3{M@NtgL{w
zTCOD-!dvziBTHd_y1GUsI7;JtUKN~odQC$S9wNDTwH)S@I^-$_Kg#`drv`5BcUcpG
z|HsjN$7A{RaR8^35R!(KABo7yPLfJODto4^B9Wa@A(B<uMM-2tR<g3omc3;rvNEz|
zKcDOQ^Zh#Gy6<zH@jd6dhuD~*)o0jQJb{$~wp48L$%DgA{7O6slc~@-<igfgn^M#;
zr|`oU#qfNocqJv=AXVg22p=<1*WCg4N3n;N!Ssjxhqgnp{yWE6l)!f$mQ((Pt=^J8
zt%SQg|AkJ$E%z?imcy%;4s!p7b?Dyu*TOw%@}Gaf?IXR8HLyz4ExB&^I)zYB6CC?8
ztg#bb9<+Yc09zi&G;V}Fy}rF{hec2SoUDUo47NO4Vf90s?&Wa1=jF(5I3)5oMJdcp
zQf1!(XF8e)Wxz}n*FFrxIbok=Q(%p0-;iH$oo{njEPN!mI%OPo=UXt0fqk7xBSzsN
z*ZoW3u;p8+&(koYhp^jAnA*o7Y7%Y~RNMaorsYk}ork?ctRwy5afYGTS@`+8KtWHK
zMw-581+F(t&U1&W20g<T;N-|ZgI0vAQq$I8-^`tNE#ag`zhD1@jec=#nZVsc6j|Fu
zdF|6aM(|eTx#&%Jc36*D7dG}Z$|I}6ekI>3UJGtI8y>#{){YB2bq%&m$SS6QhknGA
zD#4t$$3K$8k^hxx%EB8;B;_=4c6Rf?Ihc%A^wVBAUuWL#6wK-<UqcU@U)@?4gI&%%
z$fkpHudxO3!`&Qy4Gb_z91kNe>_1(Qe+Yg_dL`{BETmc4dIWx$qbAM<pFO%<!VGKK
z-mg6ji&AcM9fiBRT+|Q3(LKBsZ18&2+p)dy$OZoX<1h=|I~z(k>yZ9;PT1S0lxzpA
zx~((B2P^1(d$ApY_@>jl@dUiW|C@aUek9{QCIlN94kj<cj7+I*g0OlpnamVyyEA4=
z9KOY|RXqW_{HpsQ3P*lEs{aeNSV*Fjg=4q(TJ^zghgz1;!6JjgJKA9znF3k`_~cuT
zXDzUb>92J;cvp|&f8XKjv{eVL!dXiaNmX#Z<P?b#To-inObIM(QqQOc^Y6V}SqSeB
zp4+7YKOwW#&4Ra2H?V5MZ-43zWx%&A=O{H{VKEQKBsg_D>Wm5Obnvoo9316X!fgbb
z72B~y!fOVB=kLI;%G44f;D<fw{HE~t>W7j+u>Qq|m+ry2e7a>XV5_p%!WJ-Rpr_VT
zxHHvA$qw#Rzwy%(_7HHFuz{b_``AB#?O$I|ae_A_3^ttLd{%=q_u(N8zaVQ^RJ8Zr
z6PTvvWb9p7Y<of116GmH7dM8>KBn6F!j#^;Uk%_p&J{Pk;iqca>e}#&IA^C9FfHk^
zJ`MQi{XmmvaODXVn=5b+)pXcv_+;jwhdjLF7>P$XEF(a3NCqAV`1txAe2l#H-5Izj
zx$x;**m`hVSQM6eW%w=*=4UJ|6oT7xZ2jNEY07_<dEmG88HJzV*vUIa$6!9;lEgIF
z)gfYu8Fsm$^DP_B>QZrIgd3`ErDnpF#gF&X5w=^a$cG0Xi$~JH6F+x-{sMDWm<sNO
zo1D0YD&bj&@A&RF#`g(<#&Y-t<$C+SVC+{9<&W0F=l&($ScWGXzP8rD`zO2Srr}Q`
zwL80D=D8C)C*a<phQIBwqWI15LAZ$K+MYf*?%EEv0r)$u%3?RXV@@o)1GX=!+xrVv
zGw(Xn2Ah=D{~Lfu?ohSV!o4%HbfYle`DEQ1IBP|Aa~S>`H8A}Z&J8&(Fb~VS&~F#O
z1HU+!W?>_4#n4RHN;yb)1$N~9$(#ZE#Xe(Qg3BZhW+cK3K?~v=aOaz(QwcEn`1H{=
zSe@)={abkNt}OLE-w`h@ZS;r3{;?lrcEe(yMePFN6D_-Ss9|B5uWQfY6uS*sDp*2i
zCBTbF-<RsZ2%m`F8RHJ~{fja@40};Zi#owHX0y($@Z<85A_w?C^<TGG;62a(saV1b
z7X)27;DZTH-RAHik^juu;p*DY_l#gB^^Dho@bd9QH+{I*@9k55cxTMeehoOCn>|+w
zJ{MZYp$xNrpoo=(<8SQAy9C#id$h{Ko1?#L&ch2nrX_N4!A_1FlJJ9LtuyMd9LK^v
zQP@f_t49^q2@&4G2Tw;0&+EXY60iJu;KOO<16nXCStlzy{JNHr_BMR<L6{&59K*J}
zW(*fabd=M>2a08QZDH{QpLQCUQjg)VHOzCU_RenD;l8H4D@>Pf?LrEh>YfmJ2;Y2^
zMZFq?{=1-O;s=-ITwz^=YgqY|ec*d_!I_ir)x9!i0dW6j_vs1vofNJ5bNG|Ze@%n1
ziuQ>oZ(ugk#Gk!zX~VKr1guy!ZQlm_-q{uX0lqbT$Ey+M;%fAdhiAw>GgQGN^v$s;
z@D+hSG3D@dM|i+TcqLX?tPtj(4=VXWlxKe{mkT?uYb58u*5f1HY49e`m9iq(Q~Ho`
z3j9riHoXAOFfv?@g<Z!;t4iSmhXdSV;8zVkQN{3kkE4l!u<d#KoC^5m^J{`H;5tU}
z_hs;0Yecyh{D<a9{&)D?*)k<hxO#FRz8Wt2wRg}37Bns`YJ^SGMD94j0izegYGLm~
z--AqHF?P1p7PwquhT#_6Bb4x@0iHbZ<h(jud(tJc9sc(I!*><f@tu@UD}0M@?uG(f
z$x0R74Zq*He^d@`s|a-LfVWR4(ul!ND0Bk);BK?3SHkd!)WGc@un5ofuk0|HT(s*?
zI3>kd{y+GYtg(4NY;>f&_Yln8$m;PMmM0l7IRGDc6|XZ0m+rEEz7ysj(X|<a70*6D
zKnnY(v*?e&)UBOK{{r#-1osB}DR`&F^vPv7y-!VP91hL))E$9GY&VSm!eVjZzlPw>
z>rYNk!XF&@C|lt#Ih<<q@M3{XNE6JqZ$f$&P7(9xs)oZSy){>0yPh}c6|j;8HU9!U
zI49VZ1$$D(UtEJVrp_9ChLaBSu`I){UbOkdz@Hu!ifqEg{e!gc;8S<p|67N3Wq9LX
z!jso1C3e&z{+Siy3x(%rgK4&q&eKt=;R*Y{J;=2S>At;feeUpH^=`VIFr5LbtrL9x
zu?`O<yi|E?)d9Yd_mgBdyfTx|ehdDXtj$0Tze*|jXao!JF_Tfj6si<wb>Xuy0nGbh
zVJoUCE!dY!m3$xk$wo`>8f?V!jrA~mYesWO2_|2>xJ=|fb8w1M3f@RhrDlS^j8BA|
zf+grhMh?Q~U%M9`hqXdOH&|fzvWK#q@Xi#iaU%bxl&UTkm?SN8n;rHN`)0rdyMK3>
z{1483NVP}@8(yv7aU4Esy5kWooM-i7<`}F;acv(t?CLPMiw`!^xDY``<o7i0C-T27
z>i)J6fc|_neNh0mzfrF+2a}z)9whQR9cAbrhpByXS47}xjy<<WVOM9zVIg={PGhwn
z-mSStcMcA|&r8t_HwWZyO2g$7&QZ;<ChNihIe6)?A!j4J??yU_EX*~LmR|{nS&bgP
z43jvAoG*vZWyb7OfCWDcb`-!ha_vmYaMsJR8+ourz>D2i;XyXK`A_hHe-onD;Yz-G
z(iB+2FPcpkW~F3#6$|Sd)JPb@Pq>zj#K4|Qk2r3^KMdtE!(qqY<*Jr&K-ElX2z;{K
zLHaIyQ2m^iKYU%}lZ7*^pxS@?DV(RLuk8qL2%cPf1oMhISh>Oxa%&zB;CF^>dJkbm
zkE@65U^y*0Uq3jw`v>Pe*tTxk-Uqfe<1e@cr;M%n2f*yfGv|%rWusWf=kUKU*-l;f
zbpPl0H?XUG@rVYj6{8sx0sDB-Kez&$Zfhq-!v>3Wq?h5e>a~z4!U0ELorkBB{(X#x
zDGh!ck%4bJzIho7uWJfsio>lBpOt68p~pf>g<vs!K_(r}zxPLz2R6%Psmg(qEW-P_
z;N7kHpR?d^bhEasu!D0_O#$p{^JbM9)_8p}I}d(kzwm+{7UwxUR0VtAl!>B&*+M@x
zRKOKkuZ4EQ;g3Rp*TFL~Qu#aKy2%sG-(lAImsi(c;Q5I*<ybS!|5Fs7ltBDmAJf_h
zUz-UupM^OK9!_+?vS;|_rr}i)x{fwjGs)-a2&|}Hv||V^vHcP@2wy#PZRRITa`FJr
z5BRw}>#i}_B_%PV1D>J%H2WJ)sv?tXfc?uKkWaw}<6hR+!q<W+7baj4`~YtmtW@1X
zF$ag}c#MCA@4qoznt|W)|9tcX?pEX2y9_VX-6hL`EqFh#EWlHnH4&-s)1SPYJL)iB
z-04b8gzZUl_mRN2r^L@h!~C1~j+4WtdHLmU;oxH{`**=EuNig1;JXI;=je&@28YZ7
z;j_)Zc<JDWAx`VwFzJiay8pr7=gcTQVNLm>i$~zoPPOk`;9cH(?0Dg$HtA^&@VKA%
z4IcQL{Qe7;@Ydzy4kuyGUia_ju)RjSfdKrO_V*1Vn2o9T`5E~3tz1ieSp1%b^J$oU
zl9^Nk?y&t6a2|F_eeA0W`_vjgkbxP4Mp+bLjl*7vSK*3tiM$u#Z~6a1l;8+Qnr~8Y
ztS|L9U6`Y^tWg~9bZ|@2hPf4aO$6ZPO79=H;ROCRTORnw`a-!0+)FOKn;o8O{5xw4
z>v{h;zykMQ)9tf{%Q9s@(!(tA3KVXzYF+CW8hG_y`r<=)Mp5R<Zn%hs<Ww-+w6ghY
z>p8A(YQPZ)&lX!cF2i){MxmMTj&d`mKZMJ&-7;XE!k+YBaJ??)k9wHrpJ`ne93N?2
zUJG0B_Zu|9rsn3m2jQnl981;km}J^qKWxbP*6%CaQORONT95OZu13Brcrs1n$~Mvy
zyp>9mVF6y11ZJc=dP?-iz{#U-L5y&r)fd|cSYeQ@O#q(Ef4Vyu?mwYe!UqpdlSlf(
z5gJ_lDsZx@o%AEv`pX4|YcO}-zZQEqhvB=;UAV^a;<P#Js@!+|4s5~H=wSrUb(J$K
zHDG<BIIFQAwx!%7bQNyOdHIzIez0Tuk_Oy&YFdr~ZaeTnNDV&f`KpH&UQPSM9s@JI
zaf)7ihR>%s`|N!OU;J@GbPBc$;SH>Tn<V$@_QM55`7Tv3`TL6Lb~v_gvY;0}GC}^h
z0cMD>Pw0k&BFYX_!kpPJMrYu!LE|5a;c*h$mMPfGH$f@~ZgDl+Sc6l3rORi)Lx)C2
z|G`td_xcjyFx&RyG>uq~WlXGMV79kP`}e{^tsFZeV6F%sX(o90S!&u)n1goxI0Jl?
zqbbfG_D=eGhaaX^e~BNc!2SBnr_KvoKGv;$0PFExag&54w~uz-hr>K_?nuBQ?&Ejw
z!H?Z)Lgiq-$OOkbus)lBn=D*@&yvazJ|>k@q61&zntiJS&srV$s0E)mpD&~W|9JXj
z!UASU`LA37&Qj`YGlx}ZCbiGOXDiFLoM3@$2NNmyZ`a|8`|zH-=l==AEtM5#L*S-Z
zep(**NX9;%Ao%O6%{Vr=HSm>ND!gfxU2q8gquPBZ8K!;jqf7%Y+dgY+fD^rACP`se
z)w1F`IAzM|@v1-ax1Hwx3uj86VVQ<`T5j*3hI85ufBp>*+1)XtXu^6uM_1hg2Pycg
zlEcSpXRo)yioLf#aKP{Va%^khFh92-c337ReD^n)PNlCv5cYR6r7ML0D9y$5!$X6L
zA2Q*tusgpmz#5`=#8co|4yVR*u*m4ux>z`|i}R`l+*u_!843&6aY~rO4Y5p*pTRXo
zuYSIV_eb`9bb?jSr7p$6-246<cnq^gmx|`YduBA^o#A?`UzZDE$MKuA9`J_dl*4!U
z!1WNuM{uA%{j)mwbMtF2FPJ%<C8ryHMOhr+4o6I0uIq(wte39(z=nxxOB1m7M*Geu
za1FCB)f8-Xr^||XeN`C&mr0xPd74w5n?$<Yp+>`<urg1_o#(L8j-)+j;0{v$Ama7)
z)v3)(!U5mJIBj6PQ^G6?@UNi>0Sj17rF+*U*mrTE+!)?>HdRmqmduT8xB-X8D>JIW
z4NQr~n(#~dL$ZeO%)<+oDsV<k4&P1KT11&t0p_H>Y+(;)YsUnhgU7XoHEiJ%I-ic6
zf(2w>xVgjJttSLT;N;$;cU<8hPO0(}Fs1(U4<Ya!YkgG?_@*CoP!L>0Wj)FS|D8|D
ze+Tb~uKjxuX15lNdkbp?40ut)`}A_^lVPJ${(wC&AE$I~5}dqKmV*R-#bLf!47(4r
zfBxr(_2$W+{zACUO7hYyeEiWCa|`@v*LvGH{KnR0R}<XSeZYJW?&)X{=!X+yPTKXt
zR!njXz3@V{5_uckc}+lT7M^+9A65sqb4Sa}z_QD0Jms)6W!Iez*tKg}xCH(pa#3v!
zZh3RCCI{|#W&LnZ3*sG?T`d`~DQ)+y-Eh1xr)d(*Q|1-R4Da@HScrkmn#Z0o!uQ5s
z`9{DS8Ozzn;U8Y6!J%*}jn+F(_^gCK*E6`rMyFZ?7I3&K=nbzO$<7dhLtN}CTw(D!
z!OBzc_s>lV58;qR|8#Nq@PVa%JNRCRQ`bd!SKf!wd+^PO#%~v3wR;T@Z^Jt>WI7aK
z`fhd-6Zpi}mnHJB{G`H5J$P97-k2t=w>%!D3FifWZB~avuG5KJh1;e%NA%#CHT+s8
z{72KNQ3u{r{PfBNI8Cg3$N*0K+Sn`u?@8pTzd?9l<+cQTBxPvP0)BPa!%7&wU@16Y
z4!`zG*?9u~Z@zc8Gi+zVy_XYa+Q~V4AHL76@ty@PqpW1`g0IF^d^`-tSy1lqgf$B1
z&eFntnFE7O@Ns*ysRduOzv7pb7TC60P<sP@<ITf12vh6H8mz#TY7`Pfa1J*`?KZr+
z>|!tr|9i5xbqy~4XXrQ&|E+I2vlI0%{U*yIZ^ie2xxUn_BmGmy(sv3tf5B0N4C&#e
z2J?sE`T{j6qQ03iZ3-s%;EsJC$dNwLyHuhJJ3Y)&m_s_d@JOOIe5Y@#e;ig#A}_iL
zhe%Z$jlu?dmgDu|d#n3b`eB6~2l7o|fubJ|dSM|;(pV#SvGdrzHu%Q`Q|=vDZF4NN
z8Gd(zJlYf{xi8971CtrBWZi>Tw-!??;j}*Tw-#_%+xZK{aE}o~h8-+Wx?NcSn@;R_
zZ3CyyU%8$M>(A4qIl&XMdwza`+n)S;c^_77)pSUN!}pOSKZ1pQX#T~+YboO)4`2^F
z{TFZH;G)S79`LSb`{~}mBSvk3?(pe0!w<o*%5qDbH*BeV;6xxCk&yS?3x2w2{M8#C
zEY6I11{<`~%X-0VP7!{7uwke1kB9Ij`hch)c#4ru-vxfsY3CgPH#i&4*}#74>gjLc
zOwsIr7I2}NX!skrc$6%_1hzNb^EC;cym;m1O*pA;B=G}$^zyqCS}@C%w5Du0;c~Z-
zDr~sJCodBwkK?OWfJ4bH41R-`<*ql%!pl?)-%DWcxlbli@ZZ3y*?M?dy!Ea)>^>gR
zT?;3RagzwZ+&RlmJKK<-@dOJK+{JM^a2I^xPQCY0IL^$smI=;Qq@`nq_f>TKVu2T!
z(;src<C-i-gkg@whFvT$b&S2JDBPiFZgUL&7rS`<0xWBK(CI&TlU?2ZB3vSt{_8lL
z6cL!N3-@P+Sg^r2cKxfo4u9Ik-N_A)QRH?T!^{UPb-Cd5`J;2UVDhf*a^m&x3)ka&
z06S)6T_x)Cy4NE62u@g*%@c&hA1PS)!;|z$B`4r#K2@I2;je9CJR<OuHL2t`uzi7_
zAW>ib>C)1-@aV#UH$;1N(}_(a!=&*#F+%XXcPU94OriaY@-!TG`j1o@Tp+{~CJf(<
zdaPanx0$7H5$QQ^-v@NVwvuf=#Pw*V&wuEJ1Lig6iTiVD=wrhKte&I$kGP(znd-<S
zJT~^jSO&gEby##yJI+6Hv#iA62Jt#2O1S90K({o^ez?Q?KUj<Jj}cLx`()@lc9_%3
zsQxUhA|X934QqQhcZtHOQVtzba31T8dwg)-sr(H^xS5C4o@hUlz^UKzaPGmtJ;eRm
z-pjdH3w~L_MMLzD-MJcz>M$8uZX6vv_G*&+I_&4@%0)}~GSjRMJhh*?Xg8enDRrkI
zoIcTVmJAl1qi84cmtB}MU+}^Hn*HUNF|6;9Jv9q=r<XSo`6-1idXB>b#+Qf9;K?eo
zU8At=x>Mb4*ncqWO+S1~WNp9_&g@Y;(hKkG;;Oz2Us4^;Y=tL6;(Ki2f=}<nn&Fq{
zo6D?WsV9PU)$n}}#ZE_fQ*QifC45rKp~L~Uada6jf^~Av><xxx63)zI!dCq($3kJZ
zH;Foh@Yd4$<@fN_uDKhz@Kd#6<2X29POqi}{xPTKm<$W<U%gD!XIgtUAQje`HOQ%e
zX$4tx3g8<fK?Pso{b%SJir}O(OUG(p15%H{a`@D3pG4yI33S=+tAPV_uRQ96lN3id
zn&8+S-CJ$2^ZsF}7C1Fp(!3AOa?w`)0S|vIo$Q9+mFSxFz|r+=T0?LcQ`3WA@Ty7t
zkDqX4Z%4>5Y%oYFOSHc{-<1!4;I5g+l_RjNxpv7EJk`@DI0HAQH?}Omo`%|)lQ8GV
zU($cDk{gxJ1{~dW_uw|H>h+jn4en@u%um{ZcrEvb{SNepe_uAv?SWZD6qmP=ev|*O
zE+uT=9&NY>>0A_HmUM7J4b|{2xO6SkiynU6ZFrRi=BYaw!2}OntZAZxH%@6}u)vm;
z%%=~)q+6}!9B@UVTM^M;X~x%jIpLY`W-g*XC%=F2mk-vQ6Zm)-UM5c@7laR}y3-T$
zk$cPs0cp6}K#+l$|D2_IF3G?Kr(8XW`A?5YPwx_(G~GzX4!;%(u~UE>#h9&m;L$Pv
zZ@1tkm($L~czPY*^urXsaMg2&7;myGbVd;{Yt6XrA(-`Kfx;{JP<A3Y@%|QAHa$~d
z#$=iRVmuAbzPtMoP8)3E*g|_zw|tK;fm6a6lb7M+=WahQf`=ITW&VGEq*$|RVMmoM
z*$JduZRNbFfjv3Py9Z%PR_gR7cv8RV`T%S>75B0M-W?b=*8!ihmM`js{}YQ}BF2wM
za8Fz}OjCIG8PPwZLv3rvVB_6Zf#vWy3ewCGm}gLolNcXYpFR7r0M|A1@et!9R^#xu
zIoM)rsU!`)uJv+s8#W6YEK7pz?T<8W!b1mBbYkG1#ehYsPMo)@`sqi)rMKz(DByQo
zn)4y>Kr&~?ZFq+Mgufk8KBQvW4A#$4U3>r^3=%)>1q-C`tlPk8%tLD4@R6=7w_RW^
zasKC#Foo5nKelj1+E9EHti^1qL6pBq$u*D(x2BxwChA|gH?o`!-|f+neFz)uWj|R9
zd*0exV-L?=|D#Y3YaZYfegxmop|S3P%acUJoZ$VEKYjY(qGrWtclgR2Y5E`dfuKSx
zalO@~?y4y`r0M$JC$P_<$?gT1Hm&`|W7y<!_52bnT{ODl3qMKe-n9ug?z`^d4F_K@
zVBLnP11*LF;PV*`Lc6=L-_+~9^&Ix<%e=e?-lg!TF$^v_R(*pO&i2<-A=>jyLxv+A
zynoEN;0>(zxclvYaC{A4@k@9~zcz;*-V-Hp{2km{Jy639k4U{rBJNKbTl=pQ@HO}7
z{qgWT!zQ^TEX1gCFdF`wu*xO{2eoUtC&DrtZ1Re5`l%I<SolWqF+(MI%VK>p8IH8Q
z?5zuHzIis20QZ?{Mqh`Y%e~M^ho_xgD$QZmv((o=!m6>)1}tDvqrH`%;lumW$sWM#
z9FM9~;b`mXBah(m5@(?t`1i(=Rxlj)Wk(LtAB`_D+JwTwZR@N=f8`h#ef1uW-F=ar
zsIT(2!KXNQ&zsZF@?rntC*yf=rj#E|CVcpK9%&(*uKdWk02W!RKmHwVS$O+^xZbbu
zJ?HCSH}@C6i(#4?X0vYi$8^+a9z68==Hp&iaPFB(DZJyj&4&rNjOV!;v3{)a6?~n9
z3*w!Mi1p(NS$XR`Ol@r|T?VIm(@ibH^*YxRYhhYd=IwR(@Ea9wV!ZY%TQO|G@8(a1
z5aU^i+J$%54?Mq2=Amzd{e7D+lEa*K`&^0jg+#JXn+8^Wzp+WIFIgu~+3tgHcKtFV
z))&6^i(ZFeSJ&_3#QLJGkPyWPUpktmMyxMQ1DP3YM0uH@He!9b-*mY4DEvdsPI?@k
z(BbOmfg46uN{ID^rYdlm7p68B;wI)V=L^vkBJh+w)kk7|VdJCb5QB$q{n@_=yG9-n
zKLaO?ehr<2Q%QrA&%$b#qBd7yE7H&RufQD%QrkrSp~w?~*Wf>o4w-MlwJVA_`mo1`
z_`Cn$CsnnLH{tEYN9`n-Z<CGYx0+zG>b`*=NKdqmVQ7UNcPA+Pg1M}%Zq2|{TFIBY
zU^6xzw^?}hh*dW6e%Xarb9Z%PKbHSpj3`gtRNPDs=aTqG6Z5b1mNm;U_)<K_d!oJ7
z&Yl<Nf=@d9q$J9R7FC8R!WsJh&s*Ws+8@%DVBO+#%RO)#)w5DH*vZb{k*Gf_KQU1S
zmZ9j_OWfblwId6buq|aDbrsASB-DKuF8|FFPxQa7*uE`inDx)=_&nG@VCuIce3WtG
zbOyX}<Qe5tIH&50R0=$95I*Y(-?<#sLX6i%3!X#4@P(MgmMB=6On4&zPIJC=hnO$c
zo_}GFf`2*&-wA?S9~O~E!YgsVw|rm@4>A6aaQJ18ZBN*%N}N6sHmP@dNz8|y3UQ}$
zU>D}(m-k`U-!ZIN@ao()?>+clm8wty9F}_^^)9SpbM0^*torBf1!I`mG2u)VoS*jW
z!VNgZ@!io1m|J}KhX#CVbzHs`7KvT?p$vPe4DdI@I_@gg@^Ftbi~0b3I84X-0z9)x
zE!hXpS7z=y4bwl6x%mfne3HIP3?_Bwzc>z)Q&PU=gV&wZ%$H#ko7KqUa6{V}<wZDI
zNlW-Y`0MF@8I>M9Kc<Sz*z(5rFK9n-UW0uGcFHfqf}?BtCh$zx<*FIj?0WG9BY6Kx
zj{Yd@b0x&g8a|hELjM=c$f$bt9xTWcKK}#W;lpV65Uvi|o@;~GliRgjU{~FHzI8DD
z@MJ&$yob?_yaEnOjB$7l9}yUeDuf?;U3vWmUaLG2l?!{vY`R6j{eo{r(qY!^iJUa}
z;3?b85AbkdSY!&UGxJ;F9o#^E>{~wEn@g?m8kT0MOZWm$mwFBa!BitxYb)V%qS5`&
zU{Te%PvtOM*g=OUa2{RE=nvTHR?_@Kc#u`Pz7sCm$L?njS8B!0{)W$FAMv$<s|(L`
z4#E04;jE_cdz)8lv+(a7zDJDU=lpzwGjNyA&TJj{rhyCDCVXFIEK?mm??Clu4L-eY
zqNoHLx0<u<>&1LPA6qR8zwuq#MFUGwvEP(}+Y4zJ4#Ka;z4}kVb&p?f?uU0tlR2D(
zGkHqc*<n?Yaywok{gMLte{g7@ECmPbTBOCu1wUST=gS5gjQ4GE!1L?>{l@?+9r}Az
z7`8QUI6@EKdSkoiB%EKNoJ|S8SG&(70bgN^71;v^jx2AB!euSTYPX-_Jeqx(?hIW0
z+(B^@ep&9gA_?D(UHQ2PXS&^GR)7UH0tWuVb<SfXm*9^j`|ppz=_|eaufo<jx{JRF
zlj!`r3?FnI@b818cPdb-!CE~>DSKdF=JLPFFwb^kObh%xHl0)(9xa>ruL(B%&ON39
z|GsFQTLrte)2?2JxvbO0D&X^!egnF&>NU~&LfHAW#jGKG;HQmJK74XuxZ@^l%DnO`
z1NNOO9lH&G-Y;a74y)hH%rt_Jr$`4x!G<z^6?fox5=ZJt*uji6*%YqU--ru=)9c#`
z@4@v9!W=>H*PTl5E#L#KdHFst?=(Y}9h|;6dFm;AP9!kG24<qNZ+Zj|#^@wF!RN!`
zu04R)mKp-@!)@feBernoSjhWF@beX&Th_40eOF6o*nZ0__$DkXCgtW1-@6jFPap2O
zmto=xfBngvs16T&Hoxx$tA@#Oslwi?{d%5ol~+TN0^C^|V(ACZMlVWTf`b`$tNFmb
z(~nxEVd2}kCIRqO>-VZs@Xk7J#pf^?(}{6mIRDA@zhZr8uVDA4WiRY^g-=kPf{oLD
zp4x`1vya;w!w2Q9gl6HUQUx7D*khHxW(>ZsA^Ok?u8?u79D->IRShj+c6m<y9(akf
z%+?+**wfk51?$J0-E9HauUU)b!e-RnizYCQUSVz?JgdCjZ3Oe^8(htR<>W-asKYOu
zCzNwwm3*VOs<88{|7a>~L-x`|79Q*-oA?ZGef)m&Je*J+=l&7irL-<30`GI9_DqMP
zN*s0z!g<MZpQ7MFwS7y+VJ>O=lQHlug;!rW;8xni8-Xz26R~s_c!s@cAQ*OCt9E99
zQ{HS*dBC;3cg^Tv7e4kEPvGhExv4u~FK_-71vpsyZsa=JJE~NUPYLcgBQQ|`@2MAd
zw0VN~;FHK&9c=kUWa%E9=_OxT4O6U&AH4w^RLONV!UGq?-|NA<<gVivwGf|CNH!|M
ztXgWBEwI&R@vHK%Y5s~aQD2*6{yqWt^6%gFtuXJY+(2G<QhZfBAEpd{8CB(p^MgP>
zu1uI>>pAOpIQVFN(MNda<Xz`PIPv+O)L8h^u-@uN_?lePg*Wh~Jg>Shoc-;9a3~zr
zLf`HW7jXJ+68-JO{biB|M1J{}DWX4$xOaOzg2{PR^Pa%c-@l|=z>V`!iNyFQP=6_C
z1v6`&uqVdHm5bK;H(;jn2gbHUer5T71Ne6wy#O&@4M$lhm5KB`vm?ZKZnpjFuL@s0
zOg%x2|7V}ReK`kzX}R@74|XejaY_~@A2?H@18+T8Y&;E%`Mpe2h5u|7DNDoB*Hv7I
z`A+Ps_ai<yBQ^C7F(0OtD{czFMs|VMF2XJqsi9o(%j_v>X?WqB#Q`3o{Av*eF~5#J
z;Xls+7yml4Dg-Y*9xY{p(+sJ83c{@Aayt9rHOYI8+_1>0wI2sy4iSTFF8JoSw)I~4
z!e(h4v0k`zkk8T(<&!e3nPCa1uPj?0$j^A#-~hb&+dPT{={M`><@Up2o#i6`kp7A9
zp(qu6tH?Zi4L+dzh=~H;!%}v69=@3Jn_>q%;$l*_2(J~*br9=e+Jk-nhT))`8<oqj
ztZu6FDBSbLJY^BKSR<hwfHl23-%P{wsu6*MaPjcy<4O3M;Uwn|_-KiS4Y58`3%Y&i
zfiuM(pBaRi0@>QW!~VH*yxs8Ifi(4cSSy9+Upt&TqV%{Bj%$54)&P^{wvm*;W#v|N
zxp45losLGZd2?@XG5lcg>C#P@DM8Xc1{QUY;GcMm_36pH@oTt)H8E`xHWn7y2!hXj
zirifbx3e!z`oV!yJALZm233;iC$JDpreYS{_qHbB5$rTfUz-D`ZunkzhL>ocEXTw9
zW;B#+VN0E#j)}1LcXkFM{<_3>IqnrqXEaA{3NJ3jaJ+^uQ=Bd|AY3Im>JG<k(5C3X
zg-rgYp74oeo11Dde>fA5In26x<(d-Ac>mT%3;2-iwVbo?KTT@^Nw_N8s8SAYy}+9;
z4x7@=JIlZ%b}2STVB6?*-%D^~mgy`L+&f31bpgizm$Fd8o~nCI72)X54sXffZbcRm
zqQ2bFnwn*ItbY#=%U*#cf*&g^!nTY&`xIc&l{SZA_#w*?Hf1<e&3|za&N4hXeHper
z)6dondx;&{RE5)*f@2!s^#6owuflgse%BYl8dZmTG~lNX!mkv-;mb-6#PyUGP9;RZ
z`*v}9sl(1%Q^#Jx9ATXjM0v(-qp?Tu>#qs&M0x2i2h1M8>R*<A5$#1rlJ->xp1zzn
zN3^FXnW2mptoF$*fvEpeO(Ur^%xx%<L)72G?%{D7j%AHgCdx~n-q*tbPf92o5amsN
zmgydX6^-gwiT1j9;!5VC8}|3Z78Jz$yUV;SG!OGSt;G@T^FG4UzZo7fdXYu6Pico3
zWh2~Q;Auvbmm_^ypAAzuysNN>J=X(j6X3eOQz=A$N>R)*jDo4FKXiM;qWhoxd<pw>
zoc`to4<vuQ{{k*637R4L_j`H$#i#H-d)AI{xZ}iAe^>b6@x_G%*kE_KpEJzdXF;6=
z?-sLMcnnuwPLv|X&ojdbTNn7lFK*4RupDh+uLn$Cx?)d^zpwWadLF??o<4rj1c!w>
zTqLeHUVJsRAC4@)CQH;O`l-M2C+u&?oaPIk)w|d+3hVNC@_EC@D}Kz3!}g+AUj@KU
z5+A5n;KbuJFa6-xjpvWA!i^t0w}Ro0S4rX|n4g5(Pr3!d5g!y(i22I3Vr48GHZ{mF
zAm+1lv#VxA`!tPdxDfLlTh;y+qWyS+i+zdtkY&h3B@#B#rYkxGKO6kRkqZAxaIHH6
z^SFt}eT4Id`9_HOmW}n_-b^_E=$l1iK7J}H^ZXM$t-h0+7hcRMG57{ko^p^7hNrKR
z{49o-h9>Tc!;Fp(Gl~1nYkBhlu|B*H{328j{|OpQI}bm;DX^;_7Wt}EOvK-TtGB#*
zU~OvGW5jxt?;_8;0k0}<i4f~mXQE^BDx4$W;6cQ{VT$2n`_UiiD%XRE_;-@@o9RB7
zWwkBY40bfMZzlThPj~$SE7&PGT$$*<9ek4QMEtt@reZ!TydGCJOvJD0<mRVX;DPUP
zn=bI#3yiVHV4o~$zCd{8pTU1e;17k|mx2jr?)Bq@X%9)q6~g^TMV}D$i?g0CE{1g-
zd#3(hKY2kt5%0LYZnGfjXYeZ=t%8U3oI8m6lbj28b-)%oZnpggYaOrnuM0LgO(M+=
zGx1*(9DvJ8rV5GcRcNRx4#ID5z2Fpp(|wLt67g8#GjkRuIJS^1<q#Yh)0{~MyH+cA
z^TI4wc?Bt9n^>-|Jg{C`SS2a^=HODl1pFlIP&v`wtXFEviFi0o!9$lA-^LgHhluzx
zYhYRHFYMW=TSLT`4Wq`>qwo(4vt=##s^dfRpYZ8~lYJWSx9=0%op2dz=Nb_|w?)Zp
zw!lMKk%L71EGG9U^gGP{%#FqorWcN&ErWBbr5A~Kx%n97hkV$#tZKg}tRZnOj+iet
z^gRE$!#mxwB#HjJvv=!I09+;0FP;eBYRcVs23z*1HoSwcWdEfKg-7&;l-|NKc^~G2
zU|Kcpp-^}SXD>+veE9T;Au-;jC4)y_!i_KVR*3N{%wM|n7B=c1xlfGW+iH%zZ{T+?
zuJ3h&f7QSL^B%6a_}l*>d}o6yHwrc@Z~Af<9#uS984o|}))K!1OKXfI$HLQz_4Nku
zHutWAkMKuMRiztnifn##A{?kv{YwMRif&I&hlj-!4b|ZD1!o>4!%ZK>UYv*TPN?{O
zhPh{QsAOQ}2{P+XFs}q(tT<d7eZVaj<{bXWCJIw$RGVbOiN0)Kc;TVxR=Yy@{M$$|
z9@v}asZKt8@!kG<Huy{1GqZ277vr<btZ+G*^wkoW%z4MJgRq9GjD96Nrsr%x57&hJ
zJzoxwADmsHgiB1PRcc{7LlcKR@cX>C;x+JsQ!gb6+?)JDqZ596C7*oV73Z6}lBe6@
z9eKj<=3)MpBRWHH;2E;WX?VD|QhE^nweBV~0tZxDxop5&oa-lg;ZgsV&@Fhx_fgm|
z>`))`d2c`ZhYCmV0IXX=Sx*Bu@Wif-!l9Z!CRpI<@>46n;GGVNWdFgm^f`uq;M^-G
z>A7GAy0w8ZxM(<mpBt`ja8Q_q>r!5v5rkte=2Q`{?@l4Pwh-KIC2(>XetEmgK?Zg%
ziRGJvtKRDbo`<t<GQL`c<=%6pDZ_z}T|*XOO3F{ws&MVAx%CaW=+LW99XMI%$b&Wb
z*uSH5daz+%;P4K#-%Z{*8grPutmo$@(hVe^@>sy13ok3~MtW?is=N#AZ~s(|6h6H%
zW%Lkc8lF$5fQMq<1O&mUdi*>@eLIR|K8C;{3gIEd{qqhU=}3gF>(lq{gpa)loBaq!
zoI2=81t*bc(&WLnxasVO>kV*I@f5&1l=pjSU?uBGiBgy^%TjkQymH_8UL{<Xdy?-6
ztZ8uRQ9WEVcr=*_?vy4EZ-lS!ctXzsOC6d@=z#Yn*aQ>((e2*nZ(T6CXww=uJSH06
zGyp$P&U5C1XUL5H48mnf2Zsb;-9q`*G5F8VRRccw7u~496nvN=Ls%N-wP==JfYtZ|
zGfu-<bMZP$Ft7PIeyIWLnPiaJ2F$Wj7Jd$n-jt0Z8NmBXx4o+h7mN$1lEZ4nm&UKb
z!<_r8Dd4nIZ&kJ7>21=^eXz<m%O+wxub-@=ItY6#)5qS1JJL#+Sm0yZ1OJ)8rSFr(
zSmEXTlYSPkJ9X4WPWYVE%5HO5JoVuN9$0?%RW}i@6cyO}orHbnwY8n#fZKQCh2g@f
zgm3QfUt^;zNjTEX_^c}&XstOR4I4zR?F)c2Y1RH+ggL`M2Rws)Y*p#y;f&_>6=HsL
zBT+tj4L&57exH~hHG9>hRp8di<$>2QgRbfoZMf-2ygm_+ET!t2>B3*8CM%=ir;NIe
zhOmm-OW7#c&e<XL7HpjV-=TCk!^f%60&a*d4^4rqL;O4M!SnOGH?s%_1&lbrv#K8+
ze1;bfd?0axCHIdH6YIlg(iB=ZxOT$R=nK5GRdwPqEPA-S_A7k1r(V(rRyWgCD28u7
zr?q(oUncEjYJ_bm8Qnu*!B*3VI+**b%$qPc=WHBlJ8ajcmKO^TpU>MM@}JIm+!hb#
za?IcEg3Xlthf-h?EyrOZzt)GM%`|u{KK)8Re4Mv>Zw{QJEKp0tH}cz?$G^a7RJTQj
z;aocki4vl`;9$ley!+clwQulFor6phFzr!QqiVQ&;aT`7{Bk_#(RcWd-&Yc1Jr<RG
z_pBK{^G?WZ3Z8Wy`p^n%zBd_LggNqNbGl(pftFiDe9mGk+0qMNd`H^22KT;G7#xB_
z<L)Z`gAca6T>lN{Jbs-`g7`pxI)QQucHP<(+Cq9y#0uvO9Hqb;xf|*96NfKuz;+2^
zFNt^}uhhn13(mZ?f13h+zx3E@*H3)jN%rm|ayVFiz>geWv<@Aig=fwGM$o{H)uYDL
z@JTV%?0s;YAx-^3nCy~C`C&Nx<PAl7I3i4FjTugQpTtbWPsQ@`6dW+m{9FV(%v_gs
zj1#7+J-FipoNQSu!Ur#h=(!(<BYD&Bo`lUk-l?8~9j$9zB;bzP{zfsFE=A_0Bz)`F
zro>tJTEAZWIamUZVWi-Jy&An2;Tf9yK38D<Uv__#U~$!Cvdi#LfHS)atZ6vZsRzH?
z6?sw{rsmkMLF~swgwo8e!_PY8xXfYx%WaOva3X_EoGJWwVJ^)ScC(7U?*y}bVlKW1
zuM1VoJHXssmlkc|qr87Bp2C5m4m(}o4J(=pPvFg-l+&)T8I{<9FgUEIPtgkwZMqg5
z40~*|dHBLow6-R(u;P2opg=f7{pnyd+;s6nbtwEyJT5Z>F7qAed;=@4e-=!Kx09u4
zqT#C^b);WmmSCqNA7G`bb~j=_%Pag#BN?{;JE21CcP$FoZheO1v!@$sVe_6>kvZ_#
z<E`jkxSp&hxd^^iwZYO2x5nuYeS;&#DE>~s8a8or)v&-ispS~#!E%?n7G6-@-SHRZ
z>H5sl0v83YsZPVA<BA#`u<OHZjx9J*?xjf|Y$iDqvkqr<N=6RC>@_oXd$Hg5>F`Y+
zBfR^^UkaFHRB~t%u9j#oCC&?edq1C>hx?bloMnLLEbdY-!6p3JiEQxrS~1H8ylE18
zj1}(GjXAXid+!N&!3FnqF3Rs3#Pi$SJCw)Z``0SmDd7EQ_4-6%w|gvs`(Rf~L0w_^
zq&G#%e)ym=SJ`R!T&QsYBOJf9eD)MP%&F1I40m0eN<0TIu%(Y2g}qJkj-7=$NZuYf
z4*!vfUcLsOh+5?nfP)5Z+h2i8CYBUV!bKL^eH!pr2Mrww*xi#+R}EH^(sYo7&px6k
z(}U%+v!9%U4^vg2)qw{V^P?}oR<=2bhH%++rca8np|jPoo3PQLV|7aK1*PjROyQFj
zPkYqhOSQC=x8UCB&}9v{h+^H&5)K|(+NBS7kfi)2&U-Eg?>TxCZb=Q(v4f5I8qQh5
zR_kM`_h2rHF?}ndJabdQec0Vd(egelZEq)G59{Qa`8vVWBswt<VZW`~a5wl}(=v+-
z{K|BHvnPz-%bM|n^=$@bg5WK&=`k<(xfmr?C@i<9QRM~9A!oz%240jgXz+(!ykf-P
z!k^vFiig4-9^{we;5!0!nL)6+)EVOh_)T{bGjZN!#T9Rx3hR;zMG)s<40`=9(&2Rm
zYSL)<nOs_G5nNWYZ;i;WlQ>;d0{d(HF^+|^e-)0^!xQcO*Q4MB+nr=haC>`pMFM>D
z^<DZ-m|Kqfd>rf*mn--Kw*S2OF$G>Be|l{cHkt2={Q%3I`*C+1u53-F`UL-bB=g`e
zY=BQQrovAI!(Yw8%(FwY*>F|y?VN2ma4v3w$nW~DqJ{Jq=C@2cwLDn#Vel+1tmDO@
zM4T5g_^<5U4>RQd%_@XBbIN$x;Kb`eskyMkyr9BS_y(EY!LP87+jU0?*h81!{|lTH
z)fyrRm%A>^6Y2l9DgK(kp9DnvGT;;z{9ijPJF;*wAC4E9bPR|2#7jRC=a1@q%6czh
z-^+W>6YZNH#qXO82UYXugu}__pIIcq-8@cL0^vPTs;`UT_9yP&d|=(Fq(_DD9??2&
zcQ{2zJGmL=u*j`*f*tviUNpj&&B;uxVZZ$}seSOV&!c*G;Xuplfj#hdGVysMn64!|
zZ5%e(ruw4~-}2uI8il=+^gW32cjKPYr$zXWCYOscyxTiCWF8LCaNZ{mQ@+W3zY5#e
z>pZ^*f2v&ZT7lWPQ#j7REy99vyN0ko)-z$2fPWX;c<+SWslH?iz#$(a<LTg(S>t3L
zm@TZ^hZfdZ`Es5eewI4%>JTja%&(Z3zqpgR9vpy&W(G74!A=Uoe#~&mWLh&l%&BW-
z$p|~7?z}?<lk`6DKMog-M;PpeFDYf+<Aj&C{w{A~zU>gme#8fxoz1l)=3mLoNrMyc
z`_I&r3veFuxRnshq1W<s7M9LrRTG47oZvY!4rjkVWF!vHNd1Wzf%TQHToi@5%`cqn
zhwHz|s7t|h!z8IaaFnZqxFo#CN>{cO-s@r_cMdL8J@~Z=-lG`KeHQ+A%1WymcB%D{
zkb^6p9&fFHKcr<d$-<<ykIjkoj5X&C&t-VnU1B63c1@|@s{k{x2S54@lSrmBE5pp^
z<o*%sWB7%iTUTJ^v(bScU|y{vY7N+?N`)#O*4JWfC-PtUMRqzA&N#C;qy<yeW#<IJ
z$|9UqME;C1nybF>x9H{e>u|{Fq8ehofB%syPZt)>K4j<$3%^~cGK5dtl=eP=siV|i
z=)<EPj+A%dhsKO=P2jNT|GdrM2fB*xM(|sS2S*Ixg9(%YcVMRyw%7Ww#N)dfx8T2f
zJFAu8ns>)cEMSMF2eOLrw5P@;bGSdHqvsr)f1Fa&1`geH(jwv|k$!V#OSr<9|0zFA
zp~-N<9_BsMNWu%7a4AsR!n6B$B96lD$L5)x;phC-^lY#Y1^f1W_=3UFl*91r7gf}*
zF#Sj|7ZDF8JzboA02kXcmh6QMgI;cXz%|C1l9X`uy}3#vzxg}!JFAFSGnJmTd%*&K
zNq#TGG(!1bJYmka`VVJdwU^hb{9taax#dataKOWlJ}`~p)c_(sFLK_S7XWKM`AP8$
zp7c5u`5fl>BlZ3Vys}jBF%(X7tYab0yIvlgeI5+oJ<Xln08>&sM@GO>Cvyae{RQ*6
zShrX3kjnmQ;=F64nDa#xy!Pqsg>UdvGG&`c_yzx3H?g1jv8T~37M@@7(9D5*jF*jK
z;JeK~r&8hgX&akFm}ST9JIU~|>k;Y+u)AdW_IsG`i>FN%tT$M(Oq_oSKK-En89sXN
zSU?zTt98gY5577SLlFXRN=VA(!X))1@BQGN>@>y|@WAS9xEFlfgkP=<UOA;E_y`uM
zUovWj<(S2}oL~}bI=M!;@>4{y72JHuM!f?rys%r+5<a!*FWv^Ti<&nR``xOFFr#s}
z^I`M_eVBsh<Hb>!tB|Zm9p=@zR>?Vx_y6ClpfqePsWx;RuIBKJkc0IOuux0G&R0%R
zo`oZS@SKo==W46$F2MrLlNuWE{T+J0iS*m{JMFY!&-LF|<cad~9s##t_FE#d7vOJ)
zVp2@uYt4lzm*EFuEHw^r7}eT);(GgpE{r(B-GAIEufYy)ib$Wr)&J5+6k+MI305DN
zO-aa{I3Ebz=Hd^4|LnN%o5<fDqjNb3p88gPMH|lJYcqWZ3xxc*K%DQLT%+=efkn%;
zQ}p0$1;vm=IJxgSmk#_f(EHOzSly*Nzz}AuttifbS*W@xZo=XIyL&TXV|q<HQ+PE)
zZXzFcJEAg8wD<C#XS<8wTfw!O#QiwCS$CiuZl*77Ce9bCGY$z?!fFeWl6LSyy7swx
zn0kgc+ZrbC`*5QX=8}wKA)cquRgGJ8z`UtJ;rHQO%QJpmaIf)h5;yqm1^4g)nD5%(
z2gLbkhjCZ-AZ%%4GW-M%I>uZ+2Jdc{zv%(rDsdW|fV+$es)+vg*P>`<7S5M`bKVEO
z>3(GI0(?k<Dmf6&V=!S_gQcI19wVLym9GkFZo${`E0&1!hBrbkCcAzkK7ankhIsxV
zz5V+!Ih<Nb-W><`92E?tfg`EA)rs+P{BCsWKDaUMV$nzViOZjY!|;YJodj{d{P?uN
z4@Nl6^<nfUI9x1clnp*uAj^~n%iA0y<ACLbQay?BdQjVT{|Wfdi1lVB>_YWdkPi;4
z>AYPCul1ifD*{_Dy&TMgWk_XRB;ds*gU{dLV|HOaXJP4BM!ss8>K9AGIhgL-qp&9U
zjkI-^JRJC2h?badE^=)&E5dE}LY+Eb7c1qTDzH1{#ralvx_NLz4Hnyu)9Z!H$;7Di
z;C%;FI*9q~hL`cBo3P)hy&ooEFRcQN+i+QZCfgXCX|H8x277JL`2B_Lgg!mCf`9M%
zymK0k=9(|GgU#b^w{OD9p4Vz!U>3n0%IolFy``~-aQ|z)FFP?`UyfB<_JlK|=7os!
z1JT7z`loP{z2Y0<{6Ocp{?X@f?ccrw<S?Ii@r@vOzSDbzSRY<!|7RHv3$z|EB-RJF
zTOEF{VX<Me8sd445&Nl#82Gu?+y!P>HfcU57M^Uqkir4Ss%TYwg!N0RIf?UwV8+hv
zG<bT>bXf?t{Ta(r1dE(9p5%j-gG6<{!J7>0h0^fc&RzE#;ZT|18N_))=~PEZGi=??
z&v+hI6*&983szuw8%nH?+`;r;yI~84-|Ls)LXO|PW3UKm_AHTKE$iFr1pL8%RfjlF
zP$J{mGY7w7xZWlY&kan;F2Nk9hT@3xgrx=@wGEh0|12x<e3zQ>oXr+|f#R|EP1txL
z)os@Z=8J?b5@LN9l=Cj2fDfJ4Zn1=YikEBl!Qz@9m56xZZb%>5K{(a-7|TPrG)aY?
z1#UlT`^p*aA(2&PgEtn(O#NW~oPrz2VJ;fMU*53S$HFiCaA-p}V+`z<E?FfC=UFm^
zMZrP3mijU<+X`nC5q~uvSiXA+<~ecma3%cMMsfHW%%IDeHww!N_RVR+(+pa|zv1?Y
z=^<0t>;6~!<A^u!I)%;MgX{Z$PZRs=jUjJeXPAsG{r~%4rsI;~?r{0uI-4s<?+Csv
z;1BOR@z})?4tUNX9Sk4K4_hGik1Z>H?UAs~H?a+3za{fgeK;158#?b831>-1>8HT#
zy;+Bf;njI-i%dA#FE6M7?ra|XT>z*4WD)9vN&Sl!N?`*grj%}&EK}oNEnL}PqqGh)
zTT4D_fuDz&R{n!Eb-lZ~;DO8UHtFzrj=N^IqXTf)s~1kRu)1C6`4KpMwCEEzY}`_<
zG6gq&N#NmvRW>iC&cplO*Bi;e`e|nhSK&)5>Ah#*_iHVONJg=rbZMa1g45TVILToF
z&5tkCiS)a!9@Ow*+pm?Da9WW^&;eMlB~0cnoN!fsiV1f0j&*thXU?jwv%{Y)Z08=s
zJL3hlx#55Ljy!MRgAwOU1>t?iWa7eMS}XA~G1!9YOm7Cvm36h{46L=bsgX`N^*X;S
zobzD*c{MD1!R5?lBL7U<?n*e~W^{xKoK61b>;POWSDvU1bCM|M^}^qtl9JtouVo6)
z5})UpF6O1b4O<KTGXEb(_Z`pG_s0Pom1L8KkPsmmUqV*NDl*FoMaZnk-V#z#A!V1D
znUPVF)lf#FLPls<kx@4Jz0U8?=i_}o_ukJv^PYR}x#W4D8J>_!POz14bs8O>7ZT1d
z4ZI9<``d7AfkP#EdcEPMvoa@n;dcxs<3aGQ;qDf0_=5E&!BF_;r}AWRII;Jz%uSf@
zi~e@<d=%?5EW-u++6oUV!F+8pq4(hAk-D=AaHQ0~`b5}^B~DBm4jw(+o(B7{2;^$Q
zlzxKK8SpL@MwXLs0lU+B9&B5ccta01`KPW}1aCC9J8cE`$wi&0fO$^*{&)svjtX{q
z3UgI<$lJk3%Nl)aVLv{@avPW<q&A@*-o7NmbpdwS{<*UsZr{IagEegF^JQ)Tei*dq
zNS;q~y>UvPb_B;OXr^Kg5B)v-9}RrBFr=3p-$@BiWhU5dvF{Xl{!FdJl9vJI=-oJZ
z4BmP<MuH7ixMO}^9gf)S&&morehB?Xo;RyJk;}slf0+8>B@e4R`F|(rm2L~?2*aPQ
zq|b7|POO1Eg2bLSaob=i^SLqdJXlA5a3&|5t#Hhm9{%<5^!c6S_j&hXSCHQqdM<fz
z!#=-9=$GJp3x%Cze=d_|p9kQU5RH9%;MrRRI{onJGQlyjzoe$cz!sP%Uu2ONo@mop
zB+qMok7ugd4M*OJ6?_JpS<%1ahjSMO(<<PTbTc=2V3k869a(T>)^LI#EK2RIl>tAe
zYc<;omp3)|#lQ_-&mH%}msjZLZo{l5i40_W$^L#XJYl}?ft(_6HtlO^cbK=*wwA=%
zSH;&)!{$~;-jn#n5g%_8c%4h~4%uJqtGXNw_(&r412Oo;RvKP4m}hlCSqOgo%w>E(
zTzS7<PaNhyUui7_-?ezoO1Af%c{O$?Y|tFQBMJY<qs*`!KBMjPT@<d;2~*qz>qkk=
z9)w34-d0e-(ajQN60o=%{m2a3v&R0P4YII|mX75Ve5m_Js1$rOF#66{xUM=nRvs3r
zYTrWIO9!_YLm7DV5}RBztS>BUqXZW*oqX~ZK9C|OAP4gti~COIi$VpyNGZc@S{>%(
z`Lyq*J=+e$c3yw}lKHG-_U?Pt;cGt+T+D+<8$5?edPg&tR5IVzk+Eg&80>K%cL$jt
z+TKjtNz&JOH5J{0xg-*PXv3;y6he`3oLf@%arnBOiYb|2lrG>c*MpZfdv|!l&W(Kc
zbl_Q+1V<NGCM-MC5dQAh{GH5SrWECz*M|d~8QCo0ok#Y1n80Uym7>UetClXmkrBLn
z&XS+Z$FABW+gQNX3b#_p{Lq#g$!cb>IZv@PnID?l%XI1-tYzC<MCOM$teLi-f%~<&
z2PNUo559YC;a79VOeNsiG2czru<?@Pj3E4Ivj(p#Y<s)>J0GkZs<Pn{TsPM3$3ZNW
z$>Ir*bS?ee2{*oZFzW{2yUi8F4DVcBq40xGjmlFq!cm#?L*B62+S$}iaD?9?{VljF
zF=q>zk5~OXF?kbarD#i=gU{UP+?fXZhAz|phVN^P%VfZ#|Fyf%!}soloGO8by?f5j
z!1cZ<ZckvX_{Z;;;2~<MJM}Ps@uNEOd>++qqoS9v&k-NNHF)3Tcyl`}CVXz!BCI6A
z_Uj|;v|l2G0>|f<dS<ByPSE3CA?c4=MDFZ|C8{URk@+l>vMzxiFq>&-?*{nu<QDZ|
zm{u%Zg&wXGH99p3r>k76Cif5KzD2rC!N0HS?`4JOFY(`5gI_Q(ZD)W*^sS55;m(@Q
zfNijBO3@4IQG8!Ts%W017g?I=qk+A2J<gExzbbn87ZZG1;dmE0|7DxPX<6ZI4Gf3L
z{GBTQr=9HZBZ2-(GJjX^$t}wP7i@pXO~yy`!57te;gMO#crrdRJW*r27nal(p*TQ%
zn9+Sd%$_#uEetz{pNl;J7uuE%{s(hgKS`5<<s{rq#bIiG`g&=Y(el4~S=iy1MVlh5
zoH2Ds8s-;#{`)X&qEL{g1WR-?tf|9d3pTsRd}ZV9OPt5y;AQR*QeM4;UJC2M%Oana
zmEln{Ax#4~EHUbwCaf?JU}6fVt19-A@*WjA>SYF><D5IH2m384hM$8ul^#CVhKqR$
zvuxn4!A5*Wu&nonGAG!PeJ$xEe3HZK;|2K6>yi!T@FlbNL+)@$=ShE4_<&{I9v^t=
z{4*^wpSxXwLo65`o-=%92iK+~=!C$MJ=7wkeoI=<nO}#C2U9ai{oem`H7N?VA6j(_
zgzePL^X|eOwznrpd-3A@&v*CWLm>*MLSf$$weA#HI<Tqb3jDkH+>UgZW@=Az4D4|K
z4Sy~?VxP-)2fpojS}h+odST!n4+pE)o-BpyA9wzZgUepd#8kldZu7q)^ZgcLr_)}*
zUH>u^GU3aui*>c|;hV=ZN&9${_gvc>c;n@loTPoMl;1S<77n(z3oV6zOm)$9!N>0D
zcof1Hr9<|Afw|VE`bc|gyvAue2VbhYT|@3SJo)@FbO9E~6cHfz57I^0B~Fat{1)fE
zBgaQ4IIE`vcO8|NNQGUJUS)g3J5Nec-G+lAi{ALcr!LkwkoGwJe(U-@c+H7jGYa0a
z>os=*oUq|R3EAFu^LCSRc$?UZ=$mlErO)1#@Z3?QrC50LXj{og*gl#23%TDj5;@rZ
z8TJ!NK0?kf#f#|Gad^+DdCm=(M!A4<5*GdanTh<~(cMskY8>+=Pu;x8_V0B0*li@1
z8v9D(GP2qa_rUQ{;x%OZb|Qgwyl_NV8b8@S@AYqe;_&_91KY^)yXWm%`wu><lk889
z|HaSzeaB#L)%NcszH4|=LlgeNqo8#Uw&L@;d=~B&&?zPT(QB%gF;?)rPdPg|KNZTV
zFFfJ0sLWt;{@5uJ`@LaLBbreXUr(J_3Ww{mmAc6B1l%~j>pHw+;DJ&S9BY>-eII6{
zd~<;8Pc-<SQ3AY_vp0_9&&echw?}YZvRo+XFX@M##^Os>b=%7B{Yrxc<*17*VLzYb
zo@Dr6f%k`Jum#1uGPyq`V>Pn;9u{Y?$|2WN>!sEl?Qr0hN+wc1<DXs=>V}i&_gy3R
zuZqHGG<#rMbN}C@JW<5!ogamV?&<fF^wKfi;o~r!bB1aW{4;g+?hJhX+2(3eo?Y3l
zm;ZsO7mfKy`Ly2h_~kPEy1FuvlxOv2r5~$syA3tfbJ(lPW_H6bwAT-<e4fHjRhC()
zVTaPkgLUxUEj&C7@Hg8{CN=O%n$bBHShzMxpbd7SyyCJG{xLO?(gJT0<%!+}7t2U*
z`V8lJoOr+kHw=XMcfgjn?+^0BX;~~<-{B>fH@`*T;U<%YL74rFE0Y+!bSzb94DQ{R
z#w86${~UZc43{=go|S_qcGzE9fb9ehUQmV$C9;P9!p|bj+BD!*Z+lKgjK}^{i0jvZ
zpKf~)O9!h5v2ve;?T&Ju<An3x>K-@^E1GM6VTUuCw(6L}84Nd$@WNcH`sUW~i`0rr
zZg^Wqag774$9{fN7S__8YjJ_q4@BBX!wb{wu72=D_yc=OIFrjUC<Im!dNE)DOBV%%
z$HEkxI_zn%#h)GCk?>6|*>o~K&L6bjn*+CO4;Wy^c%C<V=D#AiN+R5djQ6*wt;UtZ
zTT+*A?t`xz-OQ|p&&aP)@xymdy%2m2FRa~sK(050Z46~vU}L^(+g0J(hPcEIxT|MW
zi@aZRez#Qa7x-#Of5T~5<#8naAgs|Oz32un8A@=Bz!HD=UUG#!cBBVR!h2ghGRgZs
zN_5&$e_<7G3l8!=Q2xKq)61~_V3uAQ9HDe=opJ)>amH(nsqo8h)5_Fvs9tGY5u8w+
zrN;mtS&5=Agg5=>h-D$}EbDmzf3W(LwiEVRyP^LazP`u!2Pf?BTFBi3tBG#?!w2u#
z7I=@mzckS{VI&NHQp{`q20s%jvXy|{tlf_e!WCk3<A-3X=Jc<WcpvKNwYsGv@HTH-
z!*#@cr`jwu;78+uH+CW(6PxC&1IMw;Q*MXPi@p1B3U1^$AuR^q<xU$ggRizw7K*?h
zrv_Ed!D?q{zp26OBDDq%@XI^TOjKa?s`R)Eu%Akmz$w_{PH3h(EH-PMq7QpMTY2qC
zeE!@<^1hdm*Vj)0aQw~9e#Y?8sIDC$@K6rLaeJ5w_l2&*mo*>O+QNU^4<EY;m;Xr=
zxCooE>@$vm7wM!^oM2kNLhrlqp50;_-Qn%&ao3Vy#=_UWuJE;pJ-I3HPQe#LKCtBd
zEl)Gyq64}nUa-S*{FiJvfkmx02)5*OS}21}{LBk{;mF67?3HjttM1mT@ca7leKl~t
z#OLe5@Y@ez$LrwAi8s>`@VgabyZ3O=*4O<c{fk4(5g*{U3T3L1@Rii2?60u4WV*yP
z*p<%x?I7INbSwTg{O_=N*9ffZvCbF;zZRlh8iV6K#y#R-?)yF47h!Ip+H-f{A4Rui
zm*MF9kKV<@`J-MMl#`f0en@xZ9;_WG;jjU&_nOU4g@aRfdDFsY7xcN3;SD9-3G}d`
zj7(@IocgpOXDfX3K+JL)yy;k2(>7SX)59tcRyH#o<%2nSxOKANQg%LC0eC=$qP!5+
z;%8t#0Eb8F?9YcES@z0_!RvIQF;8HcFZb+JVV`=6ITDYZyLeq4)-3BYD}x39%b4+k
z53Z@+Plvb2JZ<xUkN&(Qo(PMNE3V#v8Hc)JV&IP%Cwd~_XwFR{H{h4|xyEk8!Wlg2
z<ov2S?r)5OD-?9)N&fmrHT+0|bz+0|k^KGsrllbPP7ZrqN6O3n)5e33;D7fz3Y_7Y
zWs90DnBg0hx(yukjjOc)_P@<sZ3VX`@#W{iak9#Wrf?Ybz_Su~m%)i<Blu1C_xnY#
zjA?+44qW^uF}ni(^fjzU3mz{?4K0J0RVv*`eNuWynce_5$Jd@!f^TzB1=qnPMzf0t
zVG6a!w;JJb{@II?uwikb^K1B{GC$3Jn9{<~uLV93z#AwCpBXx7+5~ef81C2uYqKoa
zwZloNdQn_3#g4yxt#ExwWi35yx%19{pJ2Ya;)AqsWx_4y4*0a`kN2c~Ilo(g`wKks
zu}77(FKtix);i(c&5U2?;r6-;y036o3Dv2;u)h0~v0j*dv&`f#ID1`r@f-ZtRM2`1
zKGLGtIS30fSgexvY^JC2#|V6+MeFiclD@8?;V10gA57N?R~j5^pMYy=E?oHtD|0AC
zjlx!%T~8X|mB8wxDLA>WUZ@WKWL4=i32$atXsCo$ZFBFf!0vu8AD6;+iXOTz!S^;U
zYvjRNx@=b|exp4c?0xYFZY-s>`iJ<BMpokoaMg2z$gPOKo6CB7AKv--s3Qw(CO)8l
z8)g<^y2cHkZx2@_{mGoi-drA7FHI{m2ELu7|4AC=_srdN6P9`HGA|1+KgH*s;F!6C
zTQ%S_U&oDa!DqD14<3hmZ{^n9gL%uj4UFOMq3n6lFsr<_yD7Ys{+T%uKDgxk;390a
zFyKn|*LNnf-USwoi0>xxD#q%GF!<nj&>^xv)>CVY5%AkdsfS6h$+-2gO!yx2bx*SW
z!MYO1Y<S`3q5cF|)|oo90sh*j_k{f4fsdANUcu9CtL*Xclg25AQFxM8&6fPXepgfR
zarmh(KGy{=2r`7TO<{ava3C@io_rILvmNGFZJmvTCnofA;@}<3SH#c4dhhYT7pzvx
zc%RIF1`TPAWWm%cqF2trwbK-|Iq;z!RU?jYtna>^MR3uNm*)1c8}*P}2|R4C{n7;%
z@}xQb6lN<lki7^O1io>qg0&NRQaxeiPrrTY;r~wcZgqzpOiPkq!ge`UzT|!1uDd;X
zP4Ma$izy#C|6W>a3oLf;n_&n%Q`y}65%y8)X$pePf^B%Z;nuN%`*+}S*%+|__$fmN
zJ;`5_b!&qm_{*w+8_D0mlo-oV_|p9&qvU)QP94dffa7wM$}{2qy>4ZH;MX+*!s+nk
zV%@GexN$J!4k^EO%^^Qm;iL=KHs!zxkJR^5PNTg42<UhU-!Tn1L<4`GFw>}jW%6vy
zY2jRDJh={!DknR#z&Uk~d8^^GOc7CA;d223*I&Vnk#$MC;Eir8YxOWwS8)v|oO0jQ
zrU~9BH{QYr_ii})r4d%A9GK#VPu{6G`~jxdWdA1ui@JrBwZa>2vGRz)SM26?b;54d
z+G5i1BAx*K2p<p7GLVINxJ2iBVT<T%mWSa3lhcl0VAi(lSCwJW63g}>xO<-Rp)M>@
z{H3Z7E;&c{QXlRcROk5#pRTzwa2CE&TtrLS8&i`Qs&nuM?Om>;@S728ZWnmx@5`sZ
z!{bG}k6wl;7JKSQ`?bRR*7+JteWGFa57@V9?Dln7r%@nm0)DXXW>qR2C-mzZiF-V*
z=zj={Z$EK-5)RDWz5Ez<o3j0n?9bzjK355R<JhbCY52hGh{hY3{j&BviC+%i>+}}3
zQOGf$fu;4ru64rK6BE_Q{*qYV<#oe{+h_Ahduz-j*f<O`P<*~S1rM%Y9v_8yGlW+b
zU~jPx)C+Jz`s(*tm{*5acnRK8s;jvIANi>#OEH7_5UbLfMR+p!kr@@N*u8<DwExcw
zH+nO}wsF-AtB6N=ol9bcpL^4}Z$w;@Av%{Gt_rsrCFz+@{b}KVbK4*5kp84OKyOS4
zb~&LVvkCq<`;1-$PTP=>!T`_cY!i}$X>|p|X<)wDuoDWf+hvytW;il<z+Myfy*2fT
z4j$JxjywUg?mj5b1_!Yg<(!6}(q{58!8EK`O`fEu9=W~)F5DP8>IhfARJ+UypZkxN
z{sNq`KfHSvykc}l&<_rN_Ni_gJW%>eD**P1V%@hJ*4?6He-obnrN_h$TgG<WjDjgd
zB0YHENDjW7B$&gj%7PPa{#etT0*h?^^Kvg77sW7|4-Zna6mY{-?!|PE;lH~zSV@1a
zcXn-GHLNmqYMB?FbbF*#1D|w@uq6F^+MQXu7FeDw{FnfI@ngo#_wb>Om5<5#2u?hc
zkNV)}9+~%qVEdS?=C5#8d&jB-9Lq8}G6C0aE&f5q_YK7bbW`y4-d;^IzF4!I-M0qI
z|IYbO9JUgDrnL?a@^r+@!nc{$>=<S-zS?v<n2bO8=$dab!4EUbhvi`*E`}T~IK<@K
zdujNu`nP6oxZXNk>M-o5v!O=-rn_L2qX37^^{olQQ3KwL<oY6#l6#j7{7#R4o}_Q>
zTvt2<Gl+?pAA?nU_nbHaQ{A6xBk5ZYP`ez31N#`H$@uEF<grLSn1wEai>xPMP$pGu
z03WH&xJs@^;>rzcOyRze(+ebh?i2NIX0TF{y9K!(@l3FvJ_k#83$&B#nI5(?Y_@Q#
z@nIRVeudaTFt0PrLpPas8XoWRRlf-ToY}x)4cCRIp7MZWI0{28;m*}$Z!h?YL&LZ|
zOmF<-ZW!#&LDNCfJFSd8y#_CR+9gZIn+@3vjkjPWi^_Zl_{!TIzwW?e0dH9@!^ce&
zmhQvB{+3~v$nO_4xe{URjV`~)^-Q{x%l<T2%4fq_4_GAPs%{3%YtQmJ0B#!0waA0b
zPCk_NgKK^3uN1&mxdo}@dZoT{^!5{Yj8=yA3e4ZOv8)`XeXHz!9S)xsX{d$=9yI<6
zhb_Xihil-SuRiFL>lckzDO9cSk&ZT5G9LH6_FA9~9<l07CFAww%t@(EST0_dm0Z6(
z`pItE4bS2MS#tg2F>=&y0FIP@_bU!g&2qar1nVZW=%>OJH&YTu;RDqQuajV_#*P=`
z@KUhSescZdcUz!m5f<fVWqknOTsrq}89rsm;{6B?>y4zR`h)A?PWN9VJ=e=t@s03@
z3zzlD^^5NHMI}1e%C`Mg9_;#C(V79iX5A|M1is@L8^i(cED2<J4D-+qW^lpbyS%+B
z;EgS`rF-EkE=}VkJ%7JhrvN;1q(QG5mbiND#{rm|f%(-lc$B4|MjZA~r50|0BTS|E
zmEdFYam+8^^6k;bkHFpi5uUH%BTuW1HQ-A$O=Bee{pH|?S};>!VfjaRt3>f*1DKm{
zOt2kRtJv}J6uf`F`_>ou;|Gl)GuVlRnW_se`1oYg8Q4PWpWOg_yyM4KTe!7PytfZ-
zHZYX6gVO`Jlz+l52d}ALgq6dz%D%ywlB<p`@ZU)3UBBQH%c4GB@C#bYs8LwLGbhCd
z*7Z65XBzI=)0ZC%AH8t#{BPKO*Xa)-aOqK_mU+0(v3}wX+#3;FIs?<hs<XtxC*OJR
zT!w39eYq3iYaG!x7vM)<H>f7V?G5fT>+oiNC(At8`*nO5NguYf5?TP)cKIl7z<M>E
z7p&5%;Do#=zJG{MxGcS{hCBB;U#CX=@pDFw5jeyCggn{))#9gz$Kdl;d(+7FB~F-l
zZ~BY;6?^482XAd>OxX;dNxI*$2CpbT|1J!dc{VYV<B#5ah2{X9YZ~vl1ke9q(A9%C
zJ6|Z9fOr4;=4JrTzCO5%Z14IHp;S9qx$V^DN%-SCnwJjn;C=RP5^qh_m<)v5i?)fA
z^LNl%ob?LKHPRVJ&R;`h)cJgvTE;<b1g1Y4akCJfALYxRf@$t$mp8yHJXKUAe@+SK
z_q>9GlwIvf{s`1RpYMR_PdRIo{OrBj$nhDT{JQ7KA2?gRQ|3F|Sx*;F_Wwp^%={-T
zSova&?Ej*`y!RjYl4JZg^8Xjrm{aFqz9x-hBtI-IIjT0y;rSMA)&u1Km^@Y(*aUyw
zQ5!?fpY>n0m96l1Cm*jxxY6a}p6#&aL%x0r<j+xNH&HIw(Z^Sp<limYhbOt=gKT`|
zB>#k?vaAH)bJiaFHp14My21tFYc`xw^f0?q|6MV-R>*OE3)!C4)+!13Xf%^8E6kd=
z>#Zz&wZ){139dRD&8i6JH9bh*1M?^(?@@(&g1)ouhVxeX)YM_0?P0zG@Sf+RC$-^X
z<yRAY@T0{8KDuzSl8u1~ERZC3%?NHENPQ&)7aN5Zn80i*io*ZF2m7L{&ceq}yCsXk
zueS{jSizt9n5ksp6M?@c?cvQO%I*hY>gRE?7hpa&ufysvL**lNcUagrqeKNhTt(sR
z2|u~4u;T=*l(5w|04|%dzJ44I+vWNo2oBL%`K=H8^o16N!(Pg}t#sk;-r<f2IF!2V
zjWJvmyfSzjcD>XgYX~3wXGI+YKTSNJY5`M*d$A?J@jk)KW^nSAZ-<g#PP(n0*0Aox
zqDDGAaaM5D5~e?Ie<2gjHh!k<0H-|(^2>+qd7Em_!_2M@Z;If8BcnIG;7tahpDJMf
zus^Hra82C5rKfOSe(<>fILdSvO&!d1{@N#B*qbBaKm*(`%PMyjW^X8$e+Sd^Z7T?d
z<){u>HN(HQJz%*G7v40w)B$r=CtnSRH)(#o`w8aX#y@roR;^e~?}g<gcAG`QJ+l#S
z`(c~u%(}bqSLK|}AMojrg#TjTvQ^pDVYuMY?)XI5Pt=t5Hyl#LNE;8w+5HxqhNt9W
zE<J>M8$?h1g9CDGPbR_D!p*J}^SHiC8Gf1pOPu-@v>Eo_&?KA&pOK5q+5&$$bNo&&
z9I9UUgc){_6Qp_sujd(jVTHf0WZ4zL9~0b1*x_T^!CwmC6#v}}oN%-IsuEd`Y?qEQ
z2OrF+&{13pD;7;1;fEi-JF)#aY;L_(R|I}ay*q-eZ`O76jk_ppx_oc44!-wgJmes(
zUTA%`2EHJZo+ATKQ}@1l1HUV7tWbgr#WJK{!IV)~`;Ne8r*<Z{z-ylG7j@v2)a0N>
zm^CDNw?4eq$n>)f&YP_eF@b$`nvGiFeg1(4r{TVSh3e0+R$Hc}6)e#6=fFq!zb=<>
zYxruLb!;!(Lmz+F5l&RzzUd1r9&2Ca3{NG8Iu60ruDw65z*PBHYf0RttDH6zzT@_L
zFIf++_RT+m7&y&AjHVwpH5)u}7k-*_|H4n$%Wa=SI-F(oR&NkqlxDu239GLis2GKF
z^_srFhwFFRo+aBa+4y=(JA6>&)hn|9j2HWkPQtR^Q*My;<+zXWa{hut>W}i1|9@Ru
zU!7tB_cMyF`jGR(7pJ!8AL8Oah1qK1^P1+GTM;*F(Xp?D6?8TCvcQ9;i&P~4Pn8|h
z5r7}bts9Z@5$Gu{xEF5Y&Ywwz&nh<FH-`&yKl<H(=U4x}I0L5)au1R6+}c_>;s!tV
zFOj+l3ph_Pc*4i`EGNXmA}b9-p>UXohCit<JKs|3g~O^LQA79Ovw<I-?!uLinqHFi
z=LUV)WA4E*T#Q1bew;8KE6jxDw#w7R!IoE~KV`!LvwkjQeY=lg8>h?QjZfnZNc{=?
zYO=i&USIF5B=x6f3;%zwVdi_^6G;8xhz>Ssgc&us*Gc`cN;`l4J^8&dw+pF1T#w#F
zet_eQO+S<RQ&%06^A)zpJyDqnZ=YFuKM4O24CO3@%?`X8{|ygm+WjNv?@@ia%pZ6*
z;KN%|A53rDP+Nv&>#Git^#GOR)}2;iGuO#fQXi6jjQDI=#PdGFADOCQ`mI(EH^G!g
zHhPfyK=(lNF+E&$@#oKanBm0RPmJ*37@JlTT==Z?+csGD*35H~|3`jGZP^J=U*zWb
z0Q*Vp*})BOy}l4l>PPn1Y(*Yeq>XQZ)DLf_SS>+#)7b?(Qa==BcV8BU@6qzMlKSyb
zlP*{S=3<^vB;|9{Y+|+~yq9NJ1}UF&KO@TIVDsc3TL<73I<8&?_#-R5&j{=}L^q}a
zS8V7Q`vLC>&ty`EQwA1vCSe}MyIk6^sQR<oaoF8bLRA+Iyw<<>5BztL$G`}#v`&m8
z>ofjIeCcfhyVAZ`UW8}Z%EQmX2Id}4WPQi9gJy+Ru$%q85C7n8(b~`L;YBe`<yF{6
zd~wJT4oGvz-iY-fvwHj1ykU`Budb2xAV22b+Uo}!*$+)@Mm%IG_`eW1I4Z(o6YQWa
zV;Tx?Y|Ut3fP=k+?QX(tcIuLJFu%&rs3^FA-ZFkGY?IKOn*@J(5bwhXe~FFykOFHJ
z7Jc0gpJTc_kq=*F?yhBl^JL|>J|+&I*t-k1{K6$x4c~aSk$M~KC-K{`24;-k?!*PF
zF1&Ybfw_}*pV$dY1ZKy-C;oPzWDoqO=U(<_*gYnnXE*$K@N#PxT(0yiTmU{Qs=P1(
z$8Fx#P2ydc)|i5Qx%VpWgZF7r$*sW-F)LiWaP;XZ%XRn(>xQes@RcWT{TY@}UJRS8
z`Qh5R>I^1WPO0tf0hqhorguMl=YZG^K6p>KEtM$T87ellA2y$m+^qm>OT29($0Ir+
zucid|Ouv>AgD-5FxOfuYXB-tqj%WS*TAU%w6mo5x#9iKG)jGoI3;X2-;p(gP!_IJT
z6z@ZE`1r1?RDLjpyMHj*-#O}Rp#b>YWtX3l@T}5qs|46LXD&+!PJE^vkp%N@`$<dI
z4;6e7(OLtiS4zv1|Htpy__q$e8n@>m`F|spuFP$)jg3Gs*?-otN||<8Esx<R+5dR9
zxYaOh`D#&$Y+wFDaKtFA>d}`V0Y8qJDOrR6re=<j_;nerFY9naRj3Zx|1X`<zYNRh
z?_X+(lKqA89_M6+12lwU55kK_i`4kxKG}+IB))Zy{lY%jZr>dZY1sEkQN%$wwp?r<
z*`L8(o?;nznr?ICA=t@z;)N32c;&+iNw3^;?&lGBMIqbrFueETB84t25-xH?4t}xf
zA*c@v<gRBPg_r8KsGfzb8$3eEdaU|^x16ltUE1nnYOu7aiH|+(L9=3_0^g4tdgur*
zFT8u91@|g=RC~jsEdnWIeOIcSO+S3$vwVLjbzx)I`|A;KeB<Gv<M2^Bv3)mT&+skk
z2JrRynxhGD*|HkHHhieo!Z8UJ=V7>E2)A$)#}>mbl1<$tKHXsQycD*66{ToIY%tVW
z2Y-H%&Pmpv{UR9suK_lyu)bmnZ}jip*A3g<`PoL|CgL%=J+R83bg9#@lg(DAQFy}j
z&Q`L&D;l3-#^GZMTHY4$x8#$L7vYr~g2pEB^T!;W%kZn}!RMB6tpyXqjuqTLe&y^#
zjwfdAyA(U@W4-6=8Tf1q(-~1%j-N-w7!KF`9VQNoi?-i63)?rmsy+cXe4f!J`*(a_
z^g{=Z)=DWQ`ybG3miB>L-t=qhz(p!=&-lTuk3&ky{zO-I?EeW*CfG`m@>>6Vmg+m~
zb-k^P)VGlV+tJgj7$02b5FzcSY%^P(3CwXnu939Qjoeq6ufkuYO3#w^y{ndQG#GZs
zmslbF$K~oHviWd|<);`jo=a!>$dn785i%7e{o6UZdYKwn`R1Ar>Hn1Zw3({m--V&u
z%HZCeIr;<eL#1^^(!a_%3;7PgDS~e4Wc>1+U8raccK<DGo&}37RdlVxEUJlhq<<DZ
zmr2jLhWn8!+k8oXpVF#ya5sEpWAN8}xKPLYC_g;%^V12^-yb-%!)YJPM5k2p|MhkS
zZ-gC$rA2z9$oM!+S^TjK+)=4KOO8*z*x|VnY_M?Ml8leLG}wL|fyak`zp8@I#p%pw
zz+aO7lO*GTtp#iBny~#;+<h`WzT7RlPakez|GbHe2b3;O=$?d+wM#pa@v(!Cpv7sJ
z-qp4HC4B1EV3;`^8riNu&gXG&u2^fhIBj$OI})ewd2S1H@SJDrfEhpUc;^fk=HCw>
z<Hf_H-7^>A4Y&Uek?~~Z?H%hL@X{?FJu)8H%G<xs8<y+zFC*hwjU3K{L2!&#7B9)q
z_s@ncuE16E|H8k+Pj~Ngihw<ac<0FY)}?4J_68g>?Q1#)GyIWGi-wc*5*vr%B`Vsc
zSUBS4^!_PWmH$LnB21A$mpB32mhn-fz)hDd|NVt6%Fi=o!VjuEooC@^FON!R!y0q%
zJ}kqA8R060uv>Yr5*ZIni`zLD!GBI3$e=*^6`9KSsepa1%dwF0z?RiJ=}+Odn>ReD
z5&st7SyT%bNXLHP08{hVb=Sik$wM0SaHN*jpEg)RZ<vpa2ZlE(aCX4Koc~2Ik@)Q^
zLSJACe$jc7Uh18vK`+d1=zV${d|u+k*>CVf$ECNdu=#jJ#1FXr{8JGQm`&ne+%I_2
zG(VB_-{uahHIs0>{_H=}f1m$;<I4){9M{}K(oY}1L-h|9{=;;5FDw_(#kA=k#)B&J
z1w8O>>mk|Au;HddETn(lTXE^+HsXy-6C}NEQ?UOIxPAX2ebQfS7;n738)olettIKB
z0{Tn$z?!!De58NW%ynuNh0k*@{v+u*og(JN;b>+lYtmnEc(rYig>5(~+ev!Er_&;G
z@F7?Eg9>nPb)d#E*lGAJvkXiv^2kLK7D=P<ApMK*-roWG@HN`{ZzTPmtymWvo)BD6
zC;i9eshoN%c%P{g?-96?zJJ^rcJ5CNC+mZMo#tC~gtama{*v_fqs)0Oz#@^MCZxT4
zr#vq22U~j$NRs}en_k#90N(MMF`l&NeSI#ML*Ywf<(o)<W4o_BDI9*0_}ziDw~|ke
zR@{Y0j_|9I{${Jlt$};+g0WsMY5#{i*q1Zm2k)<hlJ=L&*O~7T?4*@9O4{FU`FX{1
z_;yV5OVa+^v*_7X!pt5s`>fzCqj%kFV6#TQIMUwpD*j2SgRK}IE}e%zfA)X+9zM^M
z^NFO_GW|C60cLytPSz1lrFUHY3dcp&Z?%P8YC8Fc;Gxt(uM4nRr1_C4xLf(Hfj#W*
z{J~)ce)052g$rDA>Qv}Dd_bf++6h*$ZY!i*$9RXPbIuL^b%NzN4b0#wZ|w>*_TKqH
z3r`iFZ1jO`YERPdfxo3YF<pl9g!>Qj!d9BWZocqkD>FTDSXOMGjt9JR<(JQYu&~0R
z(g66Ami^r$u-8mmq&M8Nm7?Y-+-p5B9SoZ;m;E$`dB0@HlKr_qFk(6lFO?Q0UxE3T
zqB*VLv>jtxg5Ys3S#@jp{i#0}uE9OeA6vS@{(h#%Lf~~q^BZn3<!-Bj8?fh_51ChB
z?roLfVepzp*!!#SJZJTI6x_9QaWoo^`a$_R0<L@eg!L|*r@v7s8g{yPS}qs1Ij8G#
z9kyKIw#kR<q;)=#c)a<|z-O?3nDgUEcyfnH&U2Wt)}A#E7Ky2Ecn2$g^_;j3fAfo*
zXomm!yXeKkTbS0Ud*E#6i^8$+o_*coeeiV`+gnL6+ebyMaS|6lX@3unV&CI2L7bq`
zk_t<Fy?T2YmKNsEPJro8UU;?&>n?7mO^3N`*9KWAEb5{wUh5^ovlY{{Y;gLoCuJml
zm{yyg7k1v@`2X(>c-+v?-3te%7|v!PzUgv{=OH*v;GHbl-+{Id59Q(8`%03t;hGa}
zpN(PH|LSy;Vf%wN`Gzo!aNjTTf3E%bI^YUFw5&)a=g;NGoAOKWLdj=2lD~Qjf7$}z
zul{0e{_q{A?kqp}@qWExQa)en3+Z;jT@RWhN&RenYUlF>&Y?-UPwHpTd!vWH;qIJ&
zeI!1^@}OxN=JIYmVg~>C95%Cw(xT38KYjQ~xO%ROg9c`{>KY?)gSbb!d*O#!nn|R+
zXg^HtD*&6Tu&k5uVdr?~LwR`Bb6tgOKil<ivm(6W+wh3&f8gEbSp#^mK5Bx*mqmOz
z4PiDBZ9TGm6=QvAYxv7wEKvcUA8oR<g+pEjM3VNv#kJysGn`^nvPjaO3z3Sy2vbKm
zo7=$R{&c1Oa3x)%6d4bSKEKl!2nVGF#oNK7`~Anl;H@#)8%g`{e0&pI1bpv?g*|B>
zm}O`8+=j)bgFcb=q}nrBD;hqhbx@X^-<*dROyc1U0w*&`dtotkw=fxQr>b%y`Li`M
ztSSTMJk`+^2=kZi{+R`rf4(YD>Yu$D^K1dUo^=0FC~Wz;kh2Ir9IQb{>em64he8$b
zjps&Qq(0_K4F^`iW_hJbNwDOBzMJ*%QS<6NQXgt>g;u<T-=DW<OoQKA`@L*}A4gsA
zCFSq>V&~2_nEqY8auKX<($3!r2c54kEPz9AhU#_0$L~9^l*7*&gDeKf?{jSeO5yeO
z>C*48w?v8ROL*wbRP8uyQ<Ys@2TwN_j!(d6ShU#Q!Ah437yiJ9m=uEFz?xc8+KaIM
z_h5}KSkXu3^g5hl?EK^tynCssXaki+U0-Q|?@zd-q`jIJ&P$0I{s!mwJRG5iwZDpM
z{(_S(<^0_WQ!24mjFR-R`kFi8lRq^BmSDLj=EmHx>vMszdD!f+bO;a3#an-3oy7Bw
z-WG&8F2p}wg<oE#{3!yvSiTEl2uJx@VxE<Rn|YFck?*an+4gD3!mP=Sr5x~*=hUgg
z@Y|2EyV+sEh{ik>c;VCYpF(gR-`7e_nDT0f{yx~`O9O*0Oh=c!lYB46a=mYt5o|4H
z7kUs5dihDs1U^N*Fro;*em!My7WRMe<Rtmt%%eTyIo7bWTidP^uzev-g(I9A5*~gW
z{!f)|$QiZ?Vjb6qg$jj#yTNxiyf)N@g9_zTz2P6cUpOt{v4<A=L9h;2c!UKUK<ngx
z1#UmgIAII3_T0K20snhkVQdZ4yn0x610Io7eC`ClzVy028ve9nNWcN+?&+O~h1u6_
zZ@9w$tSFZg;kU+{=E?VY8cuNXr@$A|B22yDn&PAXWx`z-`ChxjQyk|kvf++hS%LvD
zmHBnYLU`F+{;n^asZkhL1Zz7zUkHI)tUsq$z+$}G*1_;l+gj^W_)|>tn+SMB*=?>B
zessxx%N6+VjjTN%U`w^{&e!2b8LY>C!uC=YMI@f_PRDHo=DhTY^#;7xr~T1}4Hk9Z
z3+~kg!A6NU{3+pg&U_Z+_?_L_Gq%H5I}9FNg00O%z1d)`sUdkg_#byx3@>cwn#_6*
zUJ5*Aw+D8f5GgW+%cn2hItU+NI50!<>(LH&Ye|^>XKfV8&+=cK0m|@>AE#|p;r9^@
z`iJ4eyQU}<V3pWX?^AHneC<&w_{yTbwgLR)y3qjn-q7!|3%w6ulPx;FOmP0?nW7X}
zbn5r^&2V9&FJC`A?{=zZ3gv(EGNbMQtdo$ZxCjSPzok675&f6S`ZiKOlb>BZpb9(n
zsQdK6O2aii7h&zsWlJsavB1bI7r6N2ocU+iGbEuo46c}5N^XS@&busJgZJynP;|mP
zGR@5QV7hF-&mZ8S?p%d<*ukkn_6zJGOl6b}?~NH}Ap4hF9=Vc3;#It^WdCOE!;fCT
zx@I4XN&KyU=f_$&cw{qMKRk4N-()LnaG!0Av^RQuyV*a$C&SfG48rI9-tc$9A0yvX
zko1zD>-E3Dk^S@R!!Qqx)0si|oyq0U@384N#~a^Z8M?F)(*E#Fv)vzqC0BMBjKOu9
z>@R=8MoenuGq9!PtF~E~#=Vl8oL@)A)|J0-|Jb*X1-Q4}n`RY0@ltQ{FKm1uT<Ra(
zlIW|q2H$P|PkGZOi@KT7?^Vli=p)q&n_&)K`rR9lf7kZR`Y^(Of4D?Yz*GJ-+05|U
zp!>hb_n<01RFv+3PgO1$Qp08zziBz)QD$Y%9dOX0hdcOS{+gt4Hu$AOy$U}(=wCC&
z31{qa*AszTQrS-Jf_V(<bHw32M~rrn@@0J2t6T<t(v=-52*<}~3>|`xRlOb|-@ghf
zJ^lL#9R7yIKor)Oxw%UPeoQM?E)9R%ud+`Qj=ky0P0Fv9g!jo4uz^HO2r1v86cUyv
z;ckJ?6NliCfvl&-@UD9_Pc-3w(&t{Efu$+cxsJg}%;__haA}i8upV4?^z1)7_(I;j
zacy`mIYZbH_WE3)Z3O4!TFJP=twKYU<ojQDLi4QM;4>9-yUgJ)P7W@<uznDK7^$!H
z^PAoU!rQ7fwH)Da+qa*?;K*h7a#G*B*f^;o;F`R!oi6aenE}Sz@H>nAkPGn0EgAV}
z*!NNu7F0+1ezKww5AV9)tLp|Iv@vl{gw<%rO3C-mj#+bENrQc|H*xvEZ|(*bX26_&
zEWxC`GP<Z*l?M;p6dDhN@9xPPE`XQnCAF`?4?em4c>-%{XjF#6Eeskbp2EwW#sP8g
zuj4GHwQy;>?MMtf^x;ZaJ*>XpSu+W~JaQuDEgX^PQ5Fx&Ox4#k!C{8JJJR5TgHg@x
zu->7dE2(gc{pQ7w@H4}ZALM&*5>lTw_QJG}Lv%9XR7C@cez<FYXh{L=@SR)f2b{kc
z#E}O-zL4%X41etk3M_@YCtbWIVQF@+(IR+daUo+0er4*R^%M>~*;qUeCo<WWm&2h0
z2K|e0REf>b8hFZMW}ccF<=sbdf~3DJ9?G``UJsDbt%voUPl_|cL3g;Gk@VGg*^d>T
zp4-OR2tTK|?zsm}^7=eQ(&sqt%ix9i4mTS#!ETiYwx5H=E=<!tf#W2-#?HdssT*?0
z|4BPHNp%snXZ7&Qf`yGGJDuR|8P|8Fz~0-}X(C{oziPGQ{6`8Z^o7CM-z>~;z|AiY
zQ6<5A{l^kWf44Es<#RmzOvqZA^oP8!4Oa@`BT^D>m*Lb4;qUX|{|2;~9bv|^&qtoY
z-}YVpZUbY%jjBrctHhmPQoawoWB&9S_CJ<$(iq-nE%)dpe7&S`S_h8bU{u!*^WXdU
zlJrM5+x=tPVC6G^EtO#_#+wEG@EG%7Nm5@K6AOcSVK&+A?UL}_e6h%H@b#K#ISJU+
zLjUX_?5<YUMcRwVd`<7)a9Tln9{C=gWv9K?1e_A{MuUv6c>E1*mSO6*IlH#Q3*0U;
zi!d|8`${rCbEX+mS%?3AlH;L+!#kF@uff$mmNisx())HXy3H1K6V?*Zq&<DlGD@`t
zer0DOItM?nE#=q&o9yADoQ79;UjJr;k6cwt9f3oJ_O5WiZzD4{lkuq3E9v*_u(NJU
zCh317Fa8?d2h+U>@*@3<Z`0B<ez@jqE?XP?s3omK5+2{BKSIXC18D_W5^!OXe`q~C
zx}s5Y81~EFVO$M+Y3fER!rI}gf1kkCtNpoJ@Vm1g-;nRy8NV9xKMt3sQreK~$Ifl(
zX=h;O<8=?n_+CEmfx9_uJ3OsGu6I{$SfU)^P&G>?a=krvna<K4{-qpKK(5yxhPilq
z!qb=L0<Xe*80@s%VW(z6PCxjQSFLpjeBo`-Zx49UyHq+DUJog|Nv@CT&hnVW!Ti?T
zjpX{N-~gj&EG+78WMcsjrq~$dz}lBG9~i==vReGvaQkq-f;Mby;i*^#NAgfH9fK(^
zn=+TeB8v(IhvBN<UV?S7D3xKL9IO>!yz&Abk%{K`58h+ou(btNWl5P7fwNAl4Znlg
zvU_fj`Ml(7n*X}sKAj$OZkU&rul+Op?kM~6c3AZ`$Jlpx%X9h`7P#l;^z$K@nNize
z3oPo;_i+mDH<Xg!2oDYvW>3NtG@jinm@jqS7FDwX+jHyZk^8I1sm-F7;78(jHGac!
zTx{ixG!}IUhtxvI{4P~r?=^b(T<#6-ukZ;v(@H^j;OU<Ra(}sDe8&v|I6qv$vKjuh
zI2CsQzCXeE?k&9ajpR!)*o6D_{&x62#j{~m_&ELE^JIQo`Vlpo20Zw%^DT*6vYk?~
zh7;tPoXGv})gzBxY~er&@AqWB`-2eIU0+x}Kb(eazg6r?y+7Q(LBfgLA5Z#HJRJ}F
znLcA6^X=ZYJiC)%Nw%{t@8OwcALU}0mV+yg#5pYgUMz)A%GA=6?VnPmPJIubIo|h}
z+|N)Ji)#J=CpY@Ako)bSij=G?u<GW6p)cTZ4aXmguvd5rPdPkys$+$Ei$z_oqVsGK
z?ARmoej_Z(*?F7X@2K`1{z3=;;y<*Q343Rj1a5|XsTd^5^F{mFOm8s4jX@Wa$nz7N
znReM5U_Ke&$9AyNxAhWQxK^NlyDjWM=^RP}Pi|BzGl%bA>hz|BYqkw(orR_E#@YSF
z@wJL6u8P3tWf{#U;U|@Cv0`xU9eT<!IBG}C``vK<vxvDNxQ&hbJP&-*Q1(+J9QfV&
z4SBxRmpyraoFDVSU!qm;m-yDuCfMU;vO_MsQ9}4mJN#a9S4TGdm-6MgHkh*f@}*SR
zco)aTPS`YIvWq<5`-1h!kx#IIuewJp92PWxVH&Qw$GU?&kDM*zkTeU=RF?Zh!)|(;
zN-6OFTtY%MBVl)`paCklY9oK)UD!*kb$knaoIQLSc^+9YR%<6c%)7eRI}yHkenfN^
z+;O$%SRA~4-r1ZJE@|}4Pl09MSK0Bw?Q+dq$?+BTtH$xeiUYQu8Ss+hV7?^Gyq8LY
z{GU_Vu3rwqE<%a9<o~uQ&`qnrHp&9NX)sG>2A4Wq{^)rhIX^WP(}LRY%()d+^1O1V
zYLt;KTrYI{Q4zd&SKxvL{O%v6H+epJ`B78iS=dh?wx<-fQ`(Vz9#%Q>=4dgj)?WM3
z9zOrpFzYGY*kdy82?w1n@*vMA$0pG1^nra<6uO_o0$!tsZoyo%S<K{p%wdLfyF0MP
zDN#3)zZ<Sd2ByN59+oPVaFNR2{D*Mvo{_9tShV(SYdLIG!}gWLUz^6RRKjPP?jNax
zmu=5-wZd0I(!I&?cy>!_wZYL-JiR2&;IZKR1D0vnvXwj^ZCm>}aTu1r6XsD5(@or|
zUV&W#Gz&>wmeFT?4Yn$1U?R^$SG-T)<)KA+H)PvU4u|fE*5iXUhQocx^VG>-Bbr^{
z81GlVAHq}TA1qylvz_+qlk;D`eQ(7$Of7y>A^`3Z7`!$LXB;}%<_^CN8?2$D!}yK+
z&?h^1l_~np7I^B~i0fH6u+FxcA5Ql;#$*U5xiH+~gEJJD3r@g)yhbu4;6twW{WRdi
zSvNhz;O2Nu_QUWmCAVN{xMt{XumZevce{ZU{LlW_ZYj9!@shbbTp(~KOad0q8Ez->
z>E+xrJK=-BYWql>^T5pOZSeQA^uaQ)b%GJ)COF6I>kTDX^hmNj6|C0RxlZC$#ih#R
zeM|?g2egOb4J`{f!|>m^2SKv1Q6gOkd0#8W^2`kq=MdH#Bky}H6xgkkIFFH4LkTRX
z%t?C$wmF?8MBaygcHgg%91k<)Cfihao<iv9QFzWrqlLV0C|=urouuzDUvMDryA9-A
zxvK$R)0Al^@5{+)4aum$$HeZ_2gCHVSC4AKkD@=j1;An1KYpsgQgc#8&TzO~(DVsd
zvBh;ec^|NvL%e~c4~ya{vx3#c-?Zq%=f0S6koODE%6X>h!fMNO&x~N#w#~Ul@OqWX
zo>Q<pRi*DK*kAtd3oZDTY1{2{a2AJIBw3F@p4QLG5{_S?7gmCgwNN_S!HgUV(em(E
zR)L}|oOt@Ts3d%R=75DS-0bOKvmf?P=@9jXQ@8D=;)A=DTtbTBxWEoMvOdE1UxUS^
zaMR$nl<lzN)muI9;onR<4$;GVOX#+=!|EM|No+80(NV!+IOeM82NHKEeP=WZ_hmW!
zw++^IG!5QJkNNA&^;TMv{`bUVYFKffwD?xowEopMA$Z%Y`G3@Kk&7LR2(0ia>Ml8+
zs~Jsl$6yxiWU-C#!DC$X>TsLmrB<>&n_Gm*!E>;K^l|$c_?2NgwIy8hgqwN{_Rh^W
ziHE0ECFDQBhLT>_65(r&1}S~8eDp+84!onz)v*iKQ>$&tgC*1Nw2<}POb3@fmB701
z*(J&PZmnC}H<ZD1OfqplVZktZ#^<nV$@7(OFs1CM!VB2Lpv&SHoD;NH;}uD7Z~ST$
z9x2)A`38RM;3`0lSB5>{#wS>3-sTTUU*Tc%tP}P&@;4;w4_XZNwElqSE6?&y!CZFl
zR)^thUhbg_@V`%rEOYSpLJfVgJ|She<dFrqyT$Yg`Cci-Le{BG45$y?oWXOjYDfCj
z&9J$V$hS2(VZJwt5q@>^+A(rIPwMwqGs9OM;_^1&e8;)!w(o|2N*?z5hxpxjV+tPl
zw~OW%l3%{FcWCi0b=}yegu^6%7Uok93Bza7)6+<KIQWK1M;0F1FL`k@yz-YXKn{-G
zC-;E~KJnK4nljAE=`YOy-}UsUP=Uq0uEdk_Q|)ne>^yvdGx|Oaoabs$Wdlnz+&M@A
zSDh4}yav<spOE^4<1;I?=DYzLOCP&O{*SHvC%Ff3Qq0Y_B>vrj#W4+jqj^<$6?S}R
z5?BNu4oIG#hqo^!7nZ=6??#)f!=AS91*jR(KdJoTCf{eZj*&8=fvYQeuaNvqjtfdY
z1P6bK)a-=Sm6x04VZXc!1z+J%-_3uG;g9FdRY>_0&$`8T8vY$8n?=fBqCu4MCD__c
zrIW<#^mn_u!o3unvZTCmwrtF}3wx%>NPU1~{$_UEgM%Yz?~(7rp2)s7oe#6wRlOl`
z{tSsdk72{&>w;fkP46-Nb~rMVVQ&kpl$w6!BP^)Z6-M^wHh1XBJj`6V7EIR5JgZ9e
zeG&dvRsXFGHXQjdPtAn!JIB?+CU~FaLxC+YSD-4>NBB9_1-TutaoOCLR@fs;#gQFe
zaW9i6=VR}Xkoz9^Z!L8iN$<H~QzkEbdEg}#`Tw_d+bhLkmd|FbBz<$zlac@6p9b5-
zNd4PikT7!yzP)C4m!zlm4(3sSC41QBf52xf?Dng`lS_tXr2h5g7?`QS<_8&GjKc!f
za<(U6o~GlxB)_yoh2wN!Q=9dx)9{rStPc!fk&7~8ldvAm<~Czk$nKXWDG#pB)7@ua
zn&I8Wr2I@tkI`7cO^WR-r2NcX`p9Yz7fDcfk@X?@sy-ZbgvCdTyD3pVY2H3R;R<u>
z_bQU|G#>rJ-wifDf8znE4~6cz;l8l0YVpQRutrT$g+F}!sl|CxABH@V>#o8|bV1Fe
z{ggTUXgUm@>=!;j+Rv=!yUUUANR~znGhD@%DSR8&>YDkp6Q1*kk-7(~v(cK8_WZq4
zwoN>2mRVZ08~*4XckuzNXY_`f6Lx)3n3@K&t6jLV7rwf7v$P0~qKVMrhQ(a+zm>oa
zh9ZUg;I(_^wC~|J=90=>uxvyGDmKa|^~ZFwo=(F>Go7!ni)O9!9+*`~cy}K>nZ`p$
zj<3gNT4Ef&^n&s;D}3_dbIMWJ(!<t`{NG0>6X>R3ekuKKa=xxsS@%xBqgv&j<a}=Z
zt?=^?ad2uc$&b^))a5g9&?1#DX+P~*AHQ9P@4sqMA?>I8r?Ev!W{hvO&S#PK^YFD7
zR9oPOL#ni-ecbYH?LRu$va!#Jw2x=?Iuux8xsHktq&;QNwMf|xZ>ahfONZlOFFN>$
z3zj}qxk%b4<~PAz-0)#}t<x-U%tO;50oYlLqn7k%CNjA!Lh#D%!aY0S%-YlZGVt%N
zBjY6fncxz`L-474AGFB#uA^zB-E`o9Steg{e$J-c%g}?V8IyZST+HK0<rz5h*XAtJ
zUJ6F`gqxG}?ExyJ{PaHcN_2#GU+bqQ$7ik2=x7gzwVui+=Z`s{%k2_;-IRiv{9k3|
z3n~}jH|t)H$@$wmDWUBSi%{`wCH+fky2S)ZfAs>h-Vj{8mt)=&UKy?|BkkP<HM0ym
z*mvj5mQ1)sYh&R>*pEK>B3ZAg`mFj1ay+d2L-X&z5elP*uCUO(1I)Kz@slER&T#gB
z+q45<H|oZJZtzF87bU*%NkNDAB>lx%alOm%CiC?!Z<t=Iv+NSw-=gA0j(2fy&CD5?
ztE(f}4=(v@Wn>Ps3wY@Hz#C^i|2+wJ6|b8H!=f@?ruy)Q=sTOq_ARc*Ki&>g7wr7!
z0H-QVA1CWu877Y?Six>OIWNijS*j7<lBeMn&&4y#Fh!{31{0Wj)OwAqUn-;edWqy$
zZ&*=0Szk-7HuN3I&mco~nF+Y{<o_tT?|2}eI1b>Eh|EexHW6k2NR$~-c1FmKhQ0TS
zBqSM`DM=&}Au1}Pga%S%&q$HckmC2bKi{wK7xz5R-92~rJf35Fb{O_OZPzsiQ}X27
zYQVFCQcOeeU8#L$2jI}VUM1xFUTqN+!iunA#z*a5xWhS<OBUu!+dlCL-qg46i3Cg;
zH^A2hODT6%ioiiD+n#j58umr!cEJf0{+7+~yKMC!9{A97@sAg9N7XNOPWZw0Gcq;s
zCD*G=+h88gtFOuT&1xi%movhf*^TLn;d@Sh3TfcI(?NwLFkNdUD`{UFOA{imko>gG
zyqn>OLFY;G{kiC!wKk+Z;wid~8{FeUahe)&-Nurpv+%`Z?>>^at9f;v5$w>(G)m&f
z0+Tlyz*oO5MpD8(3~H*%aD)1uc+!6F7IGFU!Buw5Vw>Rl+O|<KSm~0QEIl0a@}?H~
zUa7y#e;euG!y|ttcwv?iJ9-v4)ajiLH%x1;RZ8;DR!7Ft!|Vet)#Uh-D@<m|_c?pZ
zY|fMX`svb(6fkvFL=rn}VHG|{zEA2_;blYm2f@V;iRAmE?O%#Lg<v&BFEjG}(Zgpm
zR0UvZ>Gox^KTYVhG9A(%R8pr|knfcjYv*u~>!ofz_iGT|Gw@`O9IWIL@Vpm}qAgmL
zffxC^ZQsGSN}6_P!*=4dNv&|%{h}#Nxbe`bz0Y7fozmaO;FsUu{dfdF=uB)if(=hg
zrB%Wuf5OI{VGjF!jV17y)$s=>VUzt?c4U9IOX_?dN&7f`n|CP#w&`BD9S%<q$6UD#
zGwkx~&WGKPI>eoW_l)1)cnjuY`aKg5|0&xh^%5Rh4;Tr9Ws+^|Ucm*to7H1sYtOdm
zNqEMlxtn}1Ug<S|)n{0x-#{(~Hca7~VPV1VV+_7b_OCng<UGfAxL|VadnnwV%N}eG
z*D~a**ujb7DLS@r@<EXyb9k`O-8BSmRjF~;gKwT1Rtkb`J5?Ao;lk1nRsHb6^qBK}
z@NLnA$wAn1<?GaLxS7e1nPMyM_x{H}k?;STl`E)igs0^mD+$5x3U?-{!<MTr>&bpH
ztE{Tls&Isc`w1%8r&c=R1YB}fVV3MC^TSe4-x6NlK6Y^dj##Rp{sBKbe1eVa-=Npo
zv+ozo7@r$R_H()O?dlo+ZCH=2N$R){3vr!R;DzOaO<aoM>XAFD!mty6?wdk5{Xj62
z5b+@gH?n_4-r^#!46OQlS~e3l?|wQb2@i(c?;`tOd}#jpQyxx=o0q!;uXQ!H{0Dcr
zJbX{~Yx$}9<Fyh@^?hmIIXErqS?+##QRc~qAb5-a+$~l3w#3i<Wd9c4;aVSMSh2IA
zm+arN({wCE6ZSjwQ;F;sB6U1~Lk-R-x)5Xq?=Q;Y*M^N!>j#d*@)c4~HQ=2-`kdOZ
zRo~H<N8n>0&xMiwQ^d57cdEeQRHrg_!g7Wu`?O%%iQGTz@ci*B<D|U(CjQ&!v7arU
zTGFgKTv1*Y@D+YOzACH;w^lz|Y=cWpzDkhtEXFUIw!%TZ#T^IWzQX~j58)|+l=q}O
z(dlJBt6;w}LvQl;KfjUw?-uOcDHBZo{<d`IjC@#1a;wfExa`?(`7C&A&%EJL*n7<~
z>ndz(_l8#o&b`R3kOT|I6^R(aYsz{#2{5(V`JZ}lohY+nG@R40m-+<k|HpYlIQ-!+
zb&mynM|010Klnwc>sNPpeKoz+4c?cj`q&lDC_Zt@30}#*)D;E0CY2;x!%tGJ@*{|I
zeI!j`;l#Fo-SBaWpl&(1#FtC*1N`}O!GFqd&)^QNSva8F*jgTTPxB7=247zYY9Mh<
z8_tMjIJDi2{{TFe5`6zByx%4C+#&ddgkbGIc=nOWq#EozdSPZAmaPrcIszLTNH0)t
z$9hnh?w!N%dPKGWEu7NpPG<<uJv}7G3{P)UcGH7zyH{Fmg%5YwydmXJkF<8=fIY%Q
zrH{cjWpC4V!ltR(DOT{|D<Qc8@R3K1KaRs&>(8zW!*|!UAD)3%I5}w~VEY_e&QtJ4
z&I|=9xVKFx!~^cvIjp)5HX9fjbcMAzbqkc>7L#o^!r<-A>m};&>ZezfA#iB=g@Hrx
zlHjN#xqdP%2PTffv%IM<BH<RhR#tu3>_xH2Mfk+MFm6+LyMkGKEX)(iXkZR6D4m@p
z^<#V@(8dXFh^oC$^80$3lTX3Rqpw&};I*Ze40o8O=B)2!c(=2|D^IxCC%7jA<~zpT
z836m$?@&mGqcrL$gW<?tp{#3g=NF-^aj?@HLz_(4lj5~TJY1uB;^__e`Qvj(ufT5?
zX8H5ry2pd}(n)+}ZTuemdj4unE_{;nqE;y^*{3s|2QQZ-7m@a|KD6<BA#A3$gRT-T
z)_Tle468_TxjcfUc>G1nVMC>BuSt6orjoI$fKy}hC7!`{W#1fXVbje#SL$IEUC$R!
z;0?6`$KJrZJtW^W!J7B7s@q}vhYixL@TH!tfC2c&v8erTVLjC?pZee&dwrKqIM|L>
zX$=1Gmc^$R9#i$dHVo@F)O;9#4YJ*B$^P6Tx5I|UVd43n=VX8GgUXWX)9|)uucFuB
z+UqMi^RW5FJyWajh0%v)OYpN!&SHA>M|n@qSO0+>m;&g?e%ObK4LR0frMLDSobcjb
zetv3JoR6ql3DSREOj(JcgF|ZbzLWi_JM7*hvcO$K^Txukb^6nWZSWZN=mQCOw_N%Q
zPWbIj@f~~NNw0Hayzsj%^t}gQr35P(VVH{Rn4%)=mTG=-H@t8{HHYk1r5-NrDhXGO
zo%=`je`nYvlP3*#M7rCM{@3C;{cQz!XK3j&(*M@KVChwa?E|jzll`b7Ouh}P!3xuF
zqmROoy+2tF!8cWFC&>O=mHWCmj=~fo-?YenR>q2>NA=*8f$ky;c)2;t$_kd<BJFAd
zADp{)$(qEuSYMO<yv}_+Sm+IRSwt_9c)-MokG}Bj7Dp3n_?`av+(kHiZ+WmOe2SHx
zKM{Vkn9xt+_DiDL<#7B+eTyL++-o0P0o$#m36sAsfBnn-F<9(`%6qckSG~ZE@DZ3^
z+rx+K_vL)+>b1Xc^3~-(vapt|hRYw=bxI_A4_vxpcaCWX?q4tNJQajTQ)vtt;Eupy
z8*+cjxkG<S06w2^C}tb1E?D*-ADnk1RB#LY!t$4f1RPkl>GLM|kyRSYUbs<ECH5cc
zlizeFpCatS^hD=3-0bNxw-5d@^>dos-vTLQHtE6pUvV-{!y#u{x{knB8;_Tf`g||T
z?2{3kmAaW}5bl?nDKdZ~#I^3dhaKxTJhX;?SLb=Xg|`k|j<JH7Dh8Qf!Y&Fs5*=Xu
zJLkQdVZGQ}7IyG1suq?fu*6AW`&00^?^&NZSPRwC2@aMl*;)Y~dR2PR2WATT+H)6P
zeJ#Jm3+_)7_bY&Td&{;4!qskVA4q@0M!#>w4?Zxn#h>&?Z!+$D4u$g-Z+|5H7u~9K
zbuc`|I_-Z6?o_64j)RB!wkyWL9imsR#KPv*=6w<H$ms9POYp*u8O1PI^lzwh0xa-g
z?<Zdpmm6_QfsH30D|y2q5spg9u=42oCvt!2RcutxfGHCb50Lvq`-4Nw>2T5Kcl|an
zrTH(O0yw5{G|vM5VDA6*27KH>MA-<gR%u%*g8lsNUe|}ecxXQ_gg2%vC~LvteHpE#
z@KbJ|8yfJA{j66@NIbhvMF~DBWOuCsw$D?@SAd-!44f^8t%D;}rC@hHLGK#a_Sb5@
zI6OF%r&0wo$!e(Wf^#SN^c&&SbXh7sn00T~&S$WvOlSccTouPC_6EM^Yv;Tb)-sR&
z)eb-LF4;r}|H!Fb>w*Qe*-z2HG}(JQ-oX=v4%F+RSnoYuH#!NA{Kyjf1y3FpDIbTi
zsm!Z6SogMn{Q}I9c{_0i4r3UNpNAjRE$<nHN1h92{ewe8is$-a$BKC8RakrN*QIXw
z{@M9+Y-|`0^X}jF3g%4HGh~Gss1qxn!8BPOHiGbOCl0^IFm1z*E4yI9kmjBy_+_>H
zby?V<N-eViX4^2?DF+Aa`tth)Y|YK|`3M~C7svG!7X9xfhaN1XDjxO{K3h92;Q(9L
z7vCW9J2@rxCt?3l9g0>sJ+{d|2%b#1DMZSnCV%-(2z-`S^*o8kT)5tl40DhA6_fbY
zjeZL$@Y+KrT5>!R*FzY};TlSTOQd`?N!F?r@L}nP-$?l)O^r^xhP7uCy`I1>wJMk2
z!hv4gUCr>AZ$Up7JLd11!K+1Z|3pSHCu}VABl|jh=B{$RB-~S{RG$Gq`nNY;9R5>W
zd*U*zwP8F%3089w=ZS}x`(K~j55KFvTOS2a$p&~IhK-MHj|hd=GHp~eVf{^MJif4{
z)~fC?m^0@4usb~a-!O*}9F^e};SA657xNv5KPK!PafCmqCVVr6m)3G4tl;FsTUQ<7
zXrpOWGnn@K!b^LYN!VpX4?e8x+T#K5uq?^fhAqRjZ@R&>$r5U+aKHM7JH9a8@T>fT
zuvKBdpEvx_S6@vI7PC@~j)b3whEhtA_+fU#aJa{Z@}>y<(%2I_cHsR=YavGgxTf`x
zSUkMB<}M{CiHj!h%Y+@Go;PiWBSh_~uEGXNM;z(l5KoFN*Wm3R-Zjy}k8gB-%!cpJ
zTR2j{x2<R<i(#M3HbQ?x(BHGZuec3I(9JY0!L=99)Rw_vOs9kvU>9Gx^LOF>Uly9C
zVdIOYDRuBUo5`4Qc;z3r?L)XI+e@e)Ud$_YYJgX0KgaaK`ww}_Jb~K_eT3e@mZyFy
zG{J#MQ!%e$wS)DWp2L4H`UthaNn^_NtuXD^@t8)KbB3y~1>S$yOXv}t&3taS11=I6
zj(G^bJ$$&d4ZbkwDpU@~EIh63ge_%yV@hF1i<pSF@VKtC&@I^b{O|K0VBVc?WAfoq
z?kC3YVWV_wp)8oGV~<5Y{Bxiw<|^DO_h6CaU!NOkIuF-A-MKOdyH;olMZ=TH!!0C#
zK>K}DFf4FQqhk!_JTEU42yebloizgg7uwR~0jG&OU;hk`NbeGIgXQgZyH3LSaaBzx
z;T>Ml-e2LT4_Sm9;Gp-1RKCC>?)gm?aOJ5S%>@$Q@mJ6smN~^UO!Dh)>~z$EP23;P
z{(%|o+62{L`jf%6zhPTBt0o25CA_I&9d<l&Pf#BIek&^BA8Zk!(j*Q)R(o-UiUad;
zhGfA#FmqP44JGVzlfOv-)~RheNehRTcnI>rzN(SZG;l>8MH3q=F!p#KBdpA)C&&s5
z<pfaC!`pm^8|mSL^b^dSFvXZ#G!5KlkUPi*%V$sst_Nd$$oqPn2hNK=6#W;zn;LVU
z3--wD6<CIC?E0UG!D0iZ<8!c^?d6NRVN2uLb5rokbA9RZ@L1ppjZrw7KHlL!*wt`p
ztQSs<ed(?azqUAD&<$_Q@l{fVt5UwJx5JGtg@^UwjS)H<U%(r-7;M*twK>Lb*2Cd4
zK75w&m1#-GS~&Rx$2W6Wexi-?KCDk8ykrA=QhakLgWVn4pPqorPsC9c!t;}T?Pp;V
z%I3!F@Jf3~=4p7o!OkHAZoCzi=K<Rt4sJ|?#~$;zxWO5YYz~QVqBcv|Irwp>(YY8n
z<xr_kB)rvVfj<;h_02c905?2Yiwc6>@|C#G!}oIX_`TqdGMgo`;pzufYG>fBnz?^6
z;PxM8qjtn0F4VW-?k#5dR&W^m->w2!uY5)I82nH^g5e8%UVqPq{cxq^ufEUlkbUoU
zDLAHrZ($=Rj{mPPuQ2@Im&^4O@MqtT4cstOOZS@{aJQw@5Gx!sejsN%oFG3Q#sI%m
zJY6aZU$^AFwh5+FX%7^E3$orH_!or#U;8Z)BL|B*s{j23kH;k$%EH$+uH?+ayKR%~
zwc!H?s2_iZC3-%KYr*R(Pc4UGyCjMICh)dK2F_2gW^&9XWB9O0Yh5QCccX#X4$i+s
z7t{eCmtYyRhP6#zus6eov0dN1;md(3`<}qAe|R2w!k2CuetZB6(H&?BhyOnJxq1)Q
zr#pWo6n4{-mA?(|@k-B)hi#0G{I~&o{`+(~4%SfKlAZ|%J|6P93O5VyFiC|!ck`*H
z!Tf%`OY!i&BiA%@;PmSj$Kqh`v>}!(I6{wWDFS|Z$&Bp=%(9qm90qsOW{h8h<JPSg
zePPL1x|v(>0iI7r-mrdMLKMj#HMP595AWUfJGKbU|NiN_4Sc2H=`4wFixYUK35OU8
zERcB1ja*3$Sl0aR#RAwej?Y5|u75#&xddkC&UzyW7o0k3RSYZeTDgnB$1QK#mBRuO
zov(%9{U7(NkbDLMQ-<wuaZ$)x1-$vwD_0h{DEe6&$$$Ghfu0uD|G4E{4gCAxKNo6P
zdeR`b3RVw&wq-34&)=S0&3_DEUzK!Og-2HV-0I*neT#HU@CGw3pJ(uDm+jf_@Z*;@
zDh;p}vmo6x%v+dys0C(-xpZa{ZqpuOZi0LHjA#eppgU|k+TcFMy3?QF9TCUJUc!P~
z!Zvrobso>Y_P{@n9eUXTFLnN_?S^ku(4K0BuW(v4jly?^n|D2h187q(55u*22`x1+
zYsqNVH<+eUF{T2p+QsfX3x{-33f+No>(YX0c4GWpsF<Gzb9bM<M++YgbEhbRe^ACg
zV1~C|tF*fXvuD|S-U?rPH}R|#etR|aD+fI0EW}p==iIU2<AND}nnYH@5`KZZ1mQNy
z<l%C-fXdQh7o7I3L8TUE%nP#F3%~IEkyi~%m)NFAz@iTY*6U%ED)#_9DiB>y^7Y>)
zyi<m!8q2t!!=?5U!^hyVNj{}I_^Vm}HZ#~@@Nf=^U)S6t=mP(c%d92wCw6=1Ps4`~
z`5q_d!??q7Ee!4%D)J-e!}+aETL@fe7|WUuPpbL7zX*S4&Fap9CA(a2Tp&L`6X=r)
zQx<p^Cc*iX;a$maxzic1L^w#!#ybv9kUtxe4Hxv-N=3s_vDSw(;lF3p-UY*#Vvp-y
zhu?lbC>aPZY(C0<4ZbtM`_=<Ksvs|L7w)lTzH}C5*4{N&49iq6?R9{i0$7*I;VXAO
zC)mRIbsL|S!LBy#d(7dJuJcV*u-WS;@h0%j(SggAaQWyBF<tl=TXR|+EYN=Wq7EF_
zaNq7B{72bWR1KC7Om%92|J}5UQ-&9eBBY<d`u>``<ze>A*78m8sEOnSS@?L4Hsy1;
z{K9sTJuu}70h(60cVzYaZn!O*zPknH@)_O52d@l`e(Zn;v|hw;!+M781#NJSLa7id
zOwFEK+zBtnCPi<BkL~kNeGPwzwQQn*O9mA*-@_e7N&@QvcwUqsz|sYOwdHU839r-K
z<s5;_9X~}Zz@-{jrUv1o-OqVv;0GLrvlB2EeRlX1{O^L?!!cOAKZ<7vE*zbIJOk$^
znTPemDd*l__zVlzt8jP2gSPRBbFkX%*3fsbyR7^1udrg!>dsc!A&u9130~*#2yTIM
zvMEIuU{|JU&U*M@M7j8HxL+nZ=n>3cdu8PZ{4m0mqZ0PxQ(XHCf8bUKEQdMYuBDUw
zfo{6mJlJB#jqG*!{@nW=xiDAaIp=?HpLs(~D#<tJb)n+I{o&hr)+=zz`i6a!@Xu<G
z>NxnAewGp~EdAoY?Xhr-XfO>8EI-Fn6$aD)WuRw-MS@1RhQNPl=RR(Mvo>^8dc(rQ
zbfX;b?HFxOH<&Nvb154f@Ae<F6Z|U7vw{b{<2>i?04M0`hH=5a?|ovlgc;5qixq<d
znY21g;IBh_jCaHP>SSGYVZUn}ClA3#_e@Nw!73^<lIn1(Vo&UTSf}-^f+4J>%X#QO
z_=(3RH)D84LFCo}`0;a@Xg@fGizQ4FE(!>E7yxUYU?1EE8(u8_R1RmUQFaQz9Oe4A
z%i!x<H+pfx=an~>KZaek2gF(7g~h_)I(RjB=ruk3^OIimOZa5w-FO;!E6+Fm7C3Nk
zx!Aft>X%KNc{iLY?fH2HPLdK5?1W`R{4OlO6lYvTdSP+<&dE8L$(?4Y2bQk+aDEC7
z7CZWD0G4u*niz+lI!rcxf^YK5$MnM@1wt=J;R1t8W4-Wg#)gz(*xxbr+&h?|`}fr;
zIGk~M<Tc#xb;V%<u8*3FY=QSZdg(k1zbR53ZiM9%ZDnR)&)~xmkKnt<ugHIg6L)3|
zK7>0JpT8#gqXW0Ni{SOC+0I2+Y;`f@7Cb$~eP#~sl-uwm6&^XO=Jo^D?$qVH0$&dF
zqgsFuoVT!ygsms8Z2k=oUb|Hr26xi5USEPa+VB5%g=3Bl7W{$d?f#gZg)3aEsF&f3
zQ*`@`;GN4)=~m&A)nn=Uu(!U(eo~&DyPR0X;Yc_2gDY^s<9j}0BwpU@LXOAhdEL@x
zSl7AT;}?9qZ=*3ayz$)2E)u5?*evtS5BERc`yWVLk<mE$3!J*IdOs<@`N}cRPWX{?
z+CftOHl}ND-oQfd@^6s1hIa0~YB)zJ;1-Gh8=Rnj057`tDUtGPNRI2?gohp#sgUyj
zr!IE)I^4OD{^L(LhJN>K609QC{plZkH`h%kk;Hw@-zNEwFT2h}!(Bq!C6wG)Psk}h
z90f~#DOFoTd?~l=f+yS_a$0i};xW7CC*9x<v$q2qV5b{jcUi-XucAk2VCma?V=UqO
zru#}sex%nPA!9gG_j5Tt9JP4*oB_;tOaJg@c<7dMqcZ#=<kt}<n7`mA-vK!HL1z#(
zoZy~)gA>*iat~vG1?N7jvB3#cquXg=VVX{58n~!mhlP|sJUV5B79I@PK~K*2+Et$o
zBfeOVDT&`qu7}^by*J0;GVj8+k8px}VN@)9Rc`y6A$TV9*Kjoa_vRZX(mo7c_44|_
zQitWwkoGa;DH`qxPv&luBkiMa2Pe;ISp0>*0%;$&_MZ-Qf^U{fza#lO^L3t>z&ejE
zbx*@wYF9ap;Vt?u*GYah<%LH&aMxht&2R7^cPIN{5-+^&PTEJ5a$~JB{G)Esi_}Mk
z9$K~oa8cEpgXDNVnyl8y!o@6S50UHjY9Y!;0v69zXZ{P{@ABOy3~NoqZ`+9T!_)V`
zOAt1==`c*L-)@c~mYwi5kK1G9`b}hyd$7ZM?ZfVo>&L42k%<|ueDI`#TtB{jEba_&
zM{i0P9qc8yiE$I0c>i@I3*1?Dz?BmIkG4RUTu-en()53PP(Qvh9OH&rTr*mi;i~t;
zJUihWu}i1F!rjA60s`=sZBJgzz}x?heB*`dq$-_9;owC21z|WkZK!z&HXj&xA_N<;
z^ql+v(=Tp(wg(RVzSh_c$NP0Bh{C5kemJzlSD1e$Nx}Ff&s*X9FPkkT;D7ep?VrKS
z(__|h@Rxo2pVq^@UH3(0;jLX#w$*TIVB20r*h%nMeI-npk@0&UT*7tKx&+?3<Jp=f
zd`0pCM<M*U`C^*}{PkjFT`sJ3qwt*(oECfEF9VhvcF8q>H>lrby$mOOk0?9|&vy1p
zUVu+?sd_oUc&+knIK26RQg8r#z5VNqKWyX`eJ=>+FZ!wz0n4X`R$YLdRi-ut!)_k!
z(-+}YpK+&iuyjb{Tn4;<u7f`eHuYl{%!WUOyo@>zJ8WE)sDaHmU02A@b2(T$*22?&
z?Jc6=qT^iN{V>a^90~IGJ@CAu4}O_c^2QA|Z#<<n2e<OkPdmYde2Xk!;fA~1an|s^
zYiXPmJm?SO9r8`#?=$REYlt5W^jFh^>t=7xZ9|-+AkR`0KC_Ge5euBRT=nMwJiVd$
zDKC87kF{nWoYStHzzuKPEp8?WpWWD#ya)D6jbaglC2Vz1h{BFV*%kco@ueR7eQ@Z%
zF;^~l|A>yb9DKw3AN_V%{1C0w0r-H~wX-a+fm7(}emGdHmW~$g*59|L3J+W~JxvWO
z+`98h8J4N{+`Q(E`NTH64o%oRbBpsTyqepYp#isuiBK=W8_Q*{8Nph{CeOdY^RMzx
z8^AM~UiOplq^q8b8LXGG@#z>W^yHDe2~0J~XZs1(W{KAdhhIEAlH3L_InA(y!qUEO
zQjM^J)d!yIaEfcy#%lPWT+Fe2*rzbju^yfs{(Pzr7G(C;FNQzP3CVthv#0atuEXjZ
zZz+C-FTRVU&V+YU^l$nC`_VtReHk9GGugZVUpDx)@e=Ho8s9w!r+yK=6$8JE_3r%(
z7meMqiGa0_78d-0XNLyY{NX=C+ip|v;&@XzPWZy2y_#O@h-=U5{dIx!7Rr675kJCr
z!Qu>jfp=7y3V!_Q@roVX(x9cb1#Y{rXl4VS<qx2zg>~~qewo7FTD^?Suxp!@$uYQZ
zkmeHuOsR2Y`3PJQcXD7mEIr+5qzw<4q!w+3KRo@tpaMS~QY+<yl|zq}D#9BNx&`pS
zyQ|}MW#A$~rqI1`v~?e~I9x+Fb6*0M=DXo62UqpRRUd#K-yPzUf|nlZ@~Xkll$}RZ
z;Xi!W`L*G1^5F-S;hO~>3A*qn1&V+AuxD_~rDL$~?QNF2aLp5!4UX_Et;X+I__jnB
z<yrXJ=n+$LzSn<ue(;9Bnn=Dcgt>Xt`hsAaYm(9haK4$5MmX%Xp7Z?y968gZc^=+f
ze^svn-r(99d;u2xh5y%rCtn>3OM*}DRik?dzj<L+nGAn^wshtxTs7ZTl>yhgO}=;n
z)1Mlh$$}rBxGLNNM?O|uxCeXeJ9d!Nx5`CJ;R^Ur=!R<~{=D;?%zI)6O}AQ@jj{67
z2UxV=YX>%!RNX`6m1f0<^}qISWl6B1==)dJaAR^5Lk4^#_(xX|tZtMUkq8@8IBgDv
zmCuL_r@^%+d{{E!;inWv@o<9XyjC_`B9?eR1@=h4r&kV}PQGj*@sxxAMOVO9h5EZv
zVef%27hk}QH%}=hz=ImWPg~*ThhMTtynyL@(+9Zfbc!)4-%M)kN-rGOv$gUn%yV3N
z!yN4V<@*Z~&(G<U`wknFx(So=uSTdSuE9=hb3<2P^N}f!4gBa&q)sbm!{1uZ`?JDY
z)?1E|@`g{#m$Jb%?NOB^-a3(ce-|vZ@ab$iEX8j+B?5Ci)Ni{6pQfn$A_qTtnsJV_
z-#eCpd<yW+!Odeg;QKtEgtXw1R<-OL_*L2sOKte>!TT$uzQi5aU~2}a(f3v4!9j0d
zryYl1_8wv>g5O#0$#RA}<E>xi!`XBj-kydX?!DMu0(%5mb^F698gEB#!P~U<(FVam
z4RRQ3p+Cq>X1D-%$V>btzpp9EN8=*Afi}hbKCJw(?QjMhcruvjE}U9l6_y1rUFvry
z^>?fMNW=|T#`9Gh$zQK|Q+*T8SlTT{>aUCAu1EJ_R{r0kBwvnV=l4pudeuaY)YrUZ
zkL72uG5z+H8u-vrSFt8|m$LhDQoj@H8zeg6QE6`GM=(=*<H>G#_>r#%>0e*popt^M
ztITM&ll<j>OSuE^){Y#pRyb&g`}#OM;B`8d)c2!z#d;>;n0rqqU&CpprXRn;b?q@~
z?eMm1&J6Rgyu-&E-SAG96sDi>`=8l=-@!+^i!^`3e4l5n`d|i@_lMWvT}veoKfs2L
zbX6M#FdiM(_Wul1Feuj0!SN?4yC&dgo5BQ`;Hl?1$v<GLo%e-yz%maFzAnO224XL{
z;Dztvbo98N&3Ze&5`-C#_dAjMow1yKuLL|Zp`<PgAD`m<AOhDUq)y4fx~HE9k~oLA
z1C;^%$->K@#I1AcijCkJqlvLSaJ-HBDF=9y@TCzUIE*H93mG3|HNV(F@=N^(&XV!N
zcW#&Md?cPL$>a&!-581_`8%%GzK$dw2npwgla=Va$#_KJS#=dJywalInE=a1=~uGD
z`qS6^l3=r(3)7r1OV`-@tFZRy&Z%v%ikD<i7TjW)WK8m@?dtZC@ta!oPD2*BC!A`a
z6wVqmi6!};qIHzW`0vrllTn*sez}j)kKi%$?1wb4NiO$zBYduct9k?6EMa${g~UG@
z%~Hb0e%zjV4Lj7monFQDOQ!l9{|;VZr{Z0MBg7=W^uotN!?=FI(KRkf{cuX;R2<2#
z;Qpga#>ZMOj>j&;I->FmbMV)*m!6RNl6W@E@E7bRw^~Q))0f4X<rP?kS@Qb=oRGS9
zjEu(<Y%{-of$wF?{icGYEH_w^{3Ab_Ygpl$1PAkJ_;1i3OEUhCy?gZ%$^R{<{)i85
zvtN!U_1k%$pADHmI8L4T^%-tzqvHM#eii;;c?7OKD*s#_P8$C#M)J7?!}(O;!VQYM
zNqc$4SJtcs3osR=k^G-u4n&jrkOt%2l|ESP^jQ&8*h$f1Z4kCDS(zmBshFMDRzJY3
zMZ4n3d`riP?sPwFVqc{l1Y7Jr?DQVKJUH|<1kTvJKttj`WFOF_!@YDun@Iee%;3EY
zcsTz<5oyn(UH3Zf!~c!1-y-e3`B<;#1Gw&}TGbFdv?i`M2uH?RReXeB(pW4E!&Me^
zzb4=}v=e)`V!nBAetl&Yel}kj#{@e_|IS^6<Jw$r?}op9Sh~IfU*ngf6oxhOsWeD^
z(UzOyRe`O|sI^Fa^8Z&9Lgv5UtJ*5Jz}?;Kih6MKhqu*R;onR>=|^Bw_kCZt!y?gJ
zevtV!jpf1lov^Tclc6E}%7X0#X-`pm_cGbTdn);CNqakUZ0M{FoNq<bLE5K5jk>4@
zT*kNktqja*G#}#%FZ$3N*aye(8EAyT#f5At%CNZP&%9t*EZW}A1U}kz%Z#j7WG~BG
z>%r!uG^_7m;k{b@C*U`3JJPpcJ>;zcO|L1OxFu{qBmB$2HqRTDx+~5Y0>}G2%MXGn
zr|QlG!Vii@H6vkt`z;s9de5$YZJi5nGX0gYB$&0gu_gh|5^20~9X1UVf0P0nXsQ3r
zg=dH7zo)^s`j1-`!h<?i%Q^6<=lhzQ@U*zVo;<kPc82vX9B-c_Q3!{+*m)JhjExpf
zMR3OhpLh4+gX7Y!)i8yO=>?Ln>qu4b5H5Y^H1z;Zyslo>0S~8T|0Z#nF`kJxaD8l%
zc@;eCeTkA$5cS(G{1PdjnqOA?7PufjSRxG$Iy%`a0t>A<<y?d>=S=7Cg1fFb9f*Rj
z=+T#}!PaG5cl_b3S?WL)Sg(Zlh&wEM;zg7RTuObx${CiPeRRYat~`_Y*Ba)a-fLtB
zv(-JXJP!Ze&CO{8uZOoDGlY3*D+GPuMP>>oZCH#u_p2xT^8g*SDqQQ%_VYZP!Y9n8
z0Mq*ZZHR{JDy3^B;bkG!mMidd#eeQ(eaxnTKj|{Ocw3E00KOXGm2nHEdM?4o3H#FN
z+1-TYxs;!?!2Abe&OC%e;~2YW;iNhXnQFLOhtG!s&fMUs&;&QEeBb>S^~;P!o#HvX
zfrqMX34Z-RkM0AU|Ge<iEPSMfqq`es)_oi@4qsZ_+BXV6ZFiL(g2OKM=MTeNb<tft
z@Mg}|qHpkouxK2qzy6w+JZE9)05#E8*htLHe+Ay%{b{HX*7+i#@(Z?)U5<DJhY3<@
zZW6+H<Xw~;S+8Rbe8#X5uAj>NPzvANbYU9{tj^1mSOoXasSPl~7MY6TWWDbFyVX%H
zc>mM#u`IYr|3L{SteW#W`U*U1LR}*dzb?Bn7Yo-2REPfun=Msd4u_9Yja)Q@=PT9!
z_`utrDLpraW$d^uLSZkf_7`@r3#&e30Qq@2i8Tk<j$PO-0+t^BvEeNIK)CiL$xo59
zR&a$&&m{?;hs%m~Dftl7a7CSi#e=VS`@#87z7NO4Q&pCJp|C-1kYXHsabtUFIIQ_X
zH!B(bM4euKp5!ZZE?t5T_($@@!|e_}6?t&PgdYDDI6!-GOD_CzT{AfymKePJikv_C
zz8$H#Fuy#lPzmgRV<%-kY%O<ll$`(ciFvAG_zK021GTWkaSGp3_^?aK3b}srG=2UL
z;Mx*)lNa##zc}tku#1m}=P)eu$eHgsd`IA8+W>5&n0~nh?&h$MBkQ+O_Wmgyu+o91
zu`lr6qzZ~oxapeqja68Y?<!R<Y#>|s=Qo_VGUzh^?^)kfOX{=l&ldl2_#;i&RvI{5
z*W=zK{M=W`iwW*xIbQJ<{<CzcogUVj*fcW-KdU<;#tLuno}c{zhm~i>Y=wuP<qQ6X
zS>GHRC++F)jzr;g*h=x*L3UVoOx=cJ7uFvt%yRkQmm4JPH^b>^IX}7Kc<q@?I=KDh
zF;ijKPO>M51?Fx@Ef<6{m(seo!MvY!827?`0j_=gaNCB4Mv}j1Da#@RZ;$ZeC+$Dy
z@n$v|_-Rm2k0_j0|3UvhSYI#pKN+~UGud1R?tQ(cPWlIi^wXD*!dy#t^GUqs;-edW
za8dof2GU<d{_Z;M179mkwk5|`(Oc>g3_mQ+tz(02BAR6bVc*|BEXny}AJ3AHfJMF5
ztH}8)etv%~6fWhnFr$LM7DrLUz#G`??vwt+`Dw<hC|E=Ik<kjSmy+1YjyPC8yW#Fn
z_(ot*S}d$g%b_<1)16YwxCD3o;VdHki_JGv+XVR9D?e@0zc|=(IHbTm3Vt_7V9px#
zMUv0IC^q>PzCgRaoCYV4?N)gWf9=~=Px6^xM~^ha>-XEAX2H9aA{0sgVp}(SAp>?g
z|Ea$Y=GvYbp9c$jb;~`3|F}Qq%!bYR;{$KQDtAwD=feg`QC$V_vwtCzB>&*@fKLwG
zP%k)L2u}}nzRrX-wD;XFfG^(?_aN=_Pr|3l5_pcD?-gmEvHIVFi(w;~(6gldud^nG
zmBUW#uFa(VAD*mWxC^(33(<JPUP(I4m9XH{R(mp@kj**KOY#LoJSb1WqOJ3vYG7G<
zs}m>TReH*TDtNB+;Xf<5xjwn@G5mxn-`oN&R=nv}2a7SU{WgTPJ@$G&gKNJ}80*6t
zLI)KZ;6X$6Wlgw#pi!}f<d+NUYrtKvx+t4qDvy|XMR+f@$)+}V+fip71=wbf<Lj63
zjkC>PB;nlI;kR$#z~+KO;_$roTt)}{NP}`p2<G}VkoyUicdO0fh4a3AKG_S`8n7#o
z=MlWZ3a;Pa2=NqcCU}A2;D57lyZ`bGHQaYVNtIC;_4h(|$qL4gvEdql%y9Z%S6WKM
zpT_aU$in})=3Xr${)&5xt~AUPZ|U+C?lyJMSAbblsaj@WB|+UC@^G)Mm-8sR<M}-2
zA(&<Q3C94ueb<LEHJF=y&*N@*HeO&-8#d4A*xm^ni)=2_g13t()wIHrEQaNJu)5GE
zrWY`E`c4%cSkm^PaW%Zx{)Cz#JU?hsS_$WCtJCVkJQthvO5jhK;ag1M59e))is1K^
zM{-F1jbBP%uEOq<5!cM&uYNrmY48f0vlGdWJ#c6;0j_#;_0$RYokG9zMYv{vsH7#l
z)%M6pB%J13ENu^4^$qP0ho7eVJSX{w)apasV6F$5O^&eGLBkJcVa+q)2_(NG{Aqv#
z{DJQJrPFZDZ-Y)-IC3T0)EQpSdg^UX@_BEVyTNl;^g77%ns<lKekS?-^Lv>N!Lo)C
zGaj(lnYz<t{=yo6vV!C@3yae2had0od*BP-=YHTw=09~kDjJ@!T4l=ZT_j&qM>7Dv
zuxIB6GJle5lVI?JeKscKbHXF_vP_|H#~<cZHu&VW^*oZl(DMBt4g6{5?~QPHS=ldx
z%-=K~jh!a>dt@dR{$jqz$~tg18deoOl|tr!Y&_3pqTp?zA7vNdqyMV^i-R>6%r24n
zW4>i%Gs)jux$oT|+)QQJdIk39l!_+v(OVA>BwvQP6Z3`0e3e~DDCH_#7{U=w=Ce1L
zs4dgrY25@~GT)8eFk_ViCqLQ{MCQW}h1vwOVAol1PBLF+%`V<`16KMt>GKf&@iXq*
zHMsoLan^G9&3A|STky@!R(CT0ruiutLGm9l+^fie|8@P0EP~xvxVDh_yOCvHFNqs7
z`^=N)A3K6heIoG_QKQ=A`NppoY%=-quc80MPr|oFKFSuurad=f?coobZZ{RcJyX%I
z42gAYT1rU1&36HPxO_<S63N&6Vb@HaM_3iDB$dM%vu)fO@UriSSsCm<s`OM5)^EIg
zybAtjTEMOV-)Z&ZtAw5JZhu6cPt;`d3Dm)2c|qI6;hw%tUus~!W3yF4uvwYmw`TZx
zdFd%$m?}o5x)JVv$xF)y?|Si};VT^K!^%$sSCp5;eu1g}U1}uHA9})lk{CqryhHbW
z<N{pJb--*3JfdMFFasxUJZ!-MAKzR5ejGO2PtVT=uf{6*_rs}vbV9q}68oIpWPM3j
zqhnS8_Tk;xM%J&^-`CGc!ERsOL&<tqm11a(1Z>0botv!RTI9?>l!NojSp&%WFRx-*
zge=S@mBC&OA3w1itqsRe{uCtZff9>%k7~iqGeIq6z0jt3tDYVl6rRd+6E+EWwf!ip
z(!%yE3wGX?$YudsIjeh<_1=rYD#K>5E_3TPvL3w8^~dN*c(q`vg{+rfbt$~#0B@~u
zI~5MkR_d2}!YB7das<JbkF5H*!?%hyKlX%EKWF%d!ex9+Zsd7HBAc3WFwDA~$><0l
zqU%(RgC}fLpIO5<yZkrD!oF8|98BS_j&-z`;A3%YkB#9}C!5ZA*qNu`1bO~29+KO2
z1@2DDsy+<AuTjmu3_Hf`GAGX;&TOm9y#}ic($bRW54}^yCv)K6av3Gku-2Z>r|!cX
zc4pP0aPZG4$$Ri^-YGMFcvMdCzczT(*Wu9)Sn+uE>PvVj?}rs5e4)#4;|ko@p7d(f
z3*+~*zuJDnNiMrxmf(;O_SaOqaXnRUam~RrrB~A^VI2*XhDmt;w!2rE;e;*a9wYGM
zfn7F?aFN$hmR`6wOWckNb{8*i?1HWS-V))2pZwH4*#>(s-4NXkZ@+zuwFTa=W&6S|
zII~OR;S-qAmvTuKPVu{Z`XT&ev(F=G`0yqvx^nn-6vtB&cw5$gE%|U7Q_U|kxa4P&
zU<q86WxnbSGhDAee;w|>c)!sT4luM8$$)jgdp3u|ZArGhSK#+SFA_pYynrtFB79Ij
z_)<Llre{qo29~qvFo}b!^zL?qz_~6yW>;ZB-_$UFm}z$-cN%=eK#kWOcGXGd$${5+
zDgs<!Z)S-ylK*v{{;?(8yyHjNHP}==WZQArg8z^o$=|6UT5SN+mQnlPg#BsL8T8<!
z1(Sm};7S{f@<XuG{<q5a;K<;ub}DcJ8z*%s{8OfpVjrASeSzi?%&u|1QX2LYfBWVk
z+-4(hA`1JxAAHvVJLPFu^TUmryqRq<2mh}%cDSM6BdZrqWX>ty1`kb@*?oW`ei|5U
zfrYyl>?h#hPoF8MVWGgiqGNE0U|zvLPptn?zY?8+O}i#n|G-s~lnYbvN^tJAMfmPY
z_QE%~vUv2zJUq7beeEpVbU!oWGko4<rEUejd7e{y46fyojQRzC|K2sz2cLC(614_%
zW-_UNgkKsiX#a&jI<$_zfvI-}>ueOo@m!=l&;ci_-(#kL)gC+^Y=TE=s#%y|{UDK~
z2Kd~o$zFQ+0ri+<4ZL@>zF!{pS^uDV8~!((yL~?_V724=J=nD7)DBZvM8#vh04`=a
zW?&A}f4*Z~3Wo;u8%4px*-zbaVQIJC_-I)0!czM!*yN^aLOjgaIU{%zzRjp+90%W<
zu4&04`8PvMD&cRR6nZYg)}rn^@54b(TLPkB)}*ssEpWis>)}E0R%Y|@Mp$jgm(L4k
z6pEf0f<+u^Bb?z-{(SCH_^#dXpgYX1E6p<x$F85bbOwInXlA|umm4L`lAqsZlxO}M
zwlUMw@PHY|Unc*7cWm&?4}k04%&%+~!~M}`)X*FL$`RK_2Wxmyln2B6AHHp4fqh3F
zPzS=V2dSvG!&-7(CnI6C)>JA1SS(y@dk9QN`|h9+94V~j9Syf|k14Cd(%!A_$j=|E
z6$?~{>79oq$njsQI~n8zpW1S7!UtB~z@+L3XY9$1b%Fa&IIE?>vA6$yISxDWZP=Uw
zpHN;*G=zgPJvJA?$9-f|wc&{egKBqRtG7xEB(5;vpxy%azpT{Pf`<(ULterZ9yO)<
zaLGo_&>py;)zV4_KAMtK{Sl^WvZ^zJIhyLKhhU+?B4z`auR~>i1b+APw!1l8_uOXw
zGwfwJ*J1(-YtHQc0-s#LDia*NzFBkuKG!A@VhLOQ%WznN>)XWo9N@svT8BTd)wVNI
zcJSokQS?-p-*Q`j^@L6KZ2GWi5BlT2bPaO7=YQuhZHDW|FXj8g+wz;3m|zLE#^2=p
z?VhpMVS%FpYt2I84Q3Z~*x|E+(`BT7C9{h~bHYpg16$6)<u`nzcf&fll8;EfX&6tv
z7(7<Q&wd_OQI4xufmbXexx?VN_e#IiV2^6|5E2j63;$&RE9}n}CH0}_pMtb8Ts(FD
zLLBVCVkvC_cUY$nk^I94I9#k?dxwYvNwD2^B^L*H$uK@O0oGJ(9&(1O9W4z=d-L$0
z8FGW8TWoKW_7s0O!q^)YKDfuB1aAIZWE=$V-nyp_JD;hJ>n`s<2cJ}^k$MH6k$Ap8
z1U~BfsIMJ1Jmgju0k_MBrw_o%TV%@u;pa<{%ERy-{ZYO!m|FDEAJU&Wzdpg|0pHlG
zq5A{243xI?f*<zoDk1%2M{ezLeOPAZ%TGG=p90JaJi727k&RiD@Lb{so_+9%i<PM)
ze)^I6#DDPcj+b&I9yOXZMy^-Gksnb^uuJ+8uI=!iuE}9GIOufJPHK3-AViuQ9(t%`
zO0NG#CAZ7FV7~pmCKRydLs^C0@JUhGR#IPf7PBoYz|6_5FG+opEgr~Kf@h`tDM<cs
z*_%Ha@N+I23R3^Bi(e_wf;)ddQ2YxIr$keb`&Z`~RmC5$T8c)A5q#VyyKDtE3c!~Z
z;DT4YWsC5+KU0iOFvqWssb$zWxX;xM4)4;N`UdlcrL%g%t>MKMB;O(<xHA%VR1vV4
zg%`Nxf}`R88s4Um{1dezy$SH(M$MEdII&?kG70WAzOjkquQIe8Amf3&Fvd+2@Q;j;
zNiu$D)O(^#^4E0THOTlO;omOhVfdn%z}He(Xg;c999HS4DXxc?qbKeUz{#f{89sw2
z^3{b#;p2|i={w=Foq2+v;M2Z_)!pzPr?so3KhT~0&uaoMZ#KS4`U~#h369UOp~@Kz
z67R6Clih&vS>M<LbrMeqK0QDQ8_jAQA?4>ze=VvHJ4`blCFjG*m^JDseCx~ghM(|g
z`^<q8aHX#2(|_>a)jeqzaD)88m327(;Pyp(xXhaI52+t7CX94!VWy^GSz0(dOrhu$
z?DRBBjt$n5D>8L}<y0*_IN)`@ga>EgQl>wiBCu8cjJ*^5<!)bzD7?7Z_S6loG1Dkh
zhJ*Z-T1edI-rmouaLz^!L3en+Tk|xj|G#YwJ5R&*BUJ)M@RZ6PNiTTX>xhsoycB6X
zNXFmc8`N#=;lc-EO5}Z^(vv;5q<z`-sm+kzSI+o8i?pw|Hf)Cj;Ja+N5x_x3T)G}G
zSD5UFI9NSo?hc6;cAF0Mz;rJ@J6XaNNm94EVIu+l&1AgZe`);oJUq#N!jX*6dv8^{
zeuG(OGdGd(d8VtX2kl<WXC7R)`wy-erj?_CRc3}M_rfDX%JQsmi=yFuVR-Bt)!(f!
zZO;{B9@tJr{2w2Di2LU{JACZRd?OEhcjx|_%&>UUmgc>1vE>zmEihkC+eI<>zxtj9
zQXeRlkHt&FR@q_Nq`ovfV=<J3vrjaB`GxxA_l(WxAgq%@o4E*U4R`HOf=g-*6u-c{
z{)TMouq?}bGO2%!@8||q;G-FGvcvGnuhD~AaJxs>#Q}Km+`)oFaEd9%-uJMMU}eEk
zc+0&9=SY3e`EmA)4ji-eN9Yxtcv9!AIlRm(($xgBcdtpB!U?ZDd>_LShd5*}!6Dyr
zcHf30x&qxU!|HrTWADK;I}|-CVJ0IFdD1?w<`v(mg0Hu-r`>@MJTEGF1*dramqFq@
z8~G;N;U2k9%OoyedUEPB+`E%kpS1Uu!!vweU^%g8cZ*<KflmH)*s4F_9*Hvs+Mb{g
z$NAbPN?#1`S^IH<2_AR6R(lhUa8Jl!frnTWcHD(int3yM;lF~pjfL<fgC|}5@VelC
ze5Cw=e)`>#aN*9l4)Xgrb}ll=z_;DF#VX*>YA+cN!!wIvdr5gS^L=%6VBHj^coIKU
zzNTXiAJ;t~Px_xs(FZXWaM8i`)GD~1TIu{L_~77Ym2$Wm8!?@Mz4&~uJ%smbhdv8{
zuM|e=RKo9nDX#{>w-o7$9>Li@jjI>nBZbt*s^Q*)iSqHVbmFD^q<?FUW7wAoI}QY$
zsD*F44S8k5Y^-Z_q`%9U=JC#l*%!YtHNZ{U%cTYI!6;9+7qGwuxv~;ix5ui9T>mTw
zrs-06;L!kI2W)%NX!-&C^L&#(sV}=8OA6M&i_g{Hllr6==`C0fvr_F6dkdd2Hnn*Q
z`(M3z;Uhf%DbwZ!eA6IukkrR6qciW@V6D)A%t@Hx;QjZVaAT3d+!)+HdX4Elyg~id
z(OK9nd6KCg4xPx&M_;3Q?f%CjgD^+W_Vw>@xB%bL2{>nN+++@}kz;y34X1v5%d`$3
zptE{D4_i5AIsJuo|C#??fUB$+nyAnoInr<a{SEutbg`56Dy4tN`yV`IR@1!|&emS>
zrjj82wVx<y?>+bFW;VktBBm33a4&<+3=^!u$fQX63*%j(w%g%d9W%=k@Rx}$+nsRq
zuDm0pzj=1|Uk@+5P0M%FL3rl1`3GS*gGJDatRMV$=(6q}xGim&mE14Bw0_l<fjzpe
zxsdlCpL}D8`w#BSpn7Ep=gPUpDZwXn@9>cOO^I>cnhJb#$h*%5X86ast_5pt+A2xz
zH^x7-6m?*cF5kqHaF4?sMML<m2h$k2-%JYASD3&P%$>R3#6P_%tYCjW=S9*#*ESY^
zwT9c4n+*ctH>OPAPQv>`Obh*B-scw_&%lTGFxipyoT8cqM^Cs`FuOV$7B`c<?hSjc
zFK;F5KdWD;Z$!f77Hjn+KdaE7{~Y`v)@&zvf3@#WUH?Tma{9d|$(IVDW=n)iT=u*n
z>q#Dio@}YG?x8}#6gcK`qj5T%!Tl#P8*Zo)Kb8w`ar5{<-sejni%!ae19KZ?Z@@3x
z=93EHItST{<b6DQ-y>~Bu<CToR3Utx_hH*T*l5>+5_#XQRx3d50i3cg`6qc_ZI{Vs
zwMTHm)X$?8@XJo!uqUvJ&!IbYFxSocuqK!y>-HLXf9-OPNL>ru8nS3b-bZVb$g1mr
z_1O(8$op>FZ_)gC1MfD<W^94Q{{;Q$fqhRdIX1$EvtOlpVe=)W=WVbim7Vl3d^Rk3
z2U*|K@cQUF3R^gQ^mzv}>m7BQhW9v%ym}4K$-ON80t@813X}E1OYfELEWp*QwISqv
zHpBf-CYIoPw^w_~`r_kk>B&FvhIDm_KG->=hVLJ|77~*%3TI#6%TFbV`SIwBks(;(
zZ}kakn1+W&`7<m$zSo)o?pisNO5Sg~^Y~FF6Wp2@{rxK(B~zTm4ab%(W|RCQ!UubJ
z;eaa=zvtmb@m+m3u;59TpC94AjPC9B@QmNJV<Yfg1u?b+IK-gCh#c>j;uqsf@W{1a
z_j+M*O)8U{u;;mfG7^7A@#gX^IGT%U3pt*Bzs@ID!c;CpRpj`;zcK5mf;&w&ZXJMc
zUZ#KD2pe5|{g|AusB;sWTj1Bt^X$X$Cfa%0Pq0=&6dNg@WX(Ix0a#D$hA)YG$~GOQ
zmLmO;jn`XPIj|;rGhC7F|AypC6>W-Pg7?<R3iiN%PW^kz0{`jMi5!FlEcBkS!-A(M
zdp^PQ={kQo;Tt_WWXO8(VV&&1{BXc%TP!&rA2Y7`3d32=^QvS$*}rtbR~%ke%S)ew
zYXj*;|AY1Jzb+-~(bbonMU~*CEI*1(aCDEK(?NKMBie=mzKIuQ4#6V9!Vl=+1kZ_l
zE%=^+4D&YlC9UdBJvd9a^CUC;M(6mD0o-8J|C}8bD6ASXgSD>v?brbyweRG#fNA)`
zeRyD|rx$mgf~ACRb8)}{SIf-Lz(;=E4I=OVM^HaG9u5~K9tj}v1DP{vk#KLZ?t2n%
z=ABPZhXoQ^J4w95MYt;iwqJZ9ApqYMXzYFji`-d$PySyZ@Nrm1Eqw6AY5;kEk~PjO
z^EG_FU%-zFrs1bQ(GJV6>|y^)&KF10i9YzX`{=Wu@VJpG-$xkVi*qFBlQy%OZxX(3
zpH5HK>l?3aw*Cw=zmGdZ&i|(E8rF00Wz~=MB!4hHJL@~_y!jR9FL>m2Pu4Fues-(J
zGThrP{b2=e-@LJd{QavfZXY&CV}9hI&G!ecQhBp=BfPIiK8zCO6<wv<Mh9Oh4Cq`(
ze7^ZZ0we5_Y?wf<$EML8iL5YvSHdv4o;6bETG?RvBmM`-^$22YYUP2wDa(?{^}G;$
zOHB|~#K*YE^NsQ6(`sUH8Gm^mIp6<tbl>q@eSaLlm89%FQ>4ryBM}+#wX-TDDUz9#
zL?{s=WR;PSQOV58Op#fHP=sufl9AQo_d35npO5$Z^HHCB?m6e4bI&;|Z;V#<!KvA2
zo|E~LKI#W62jFiiVOz=kNlpoGo-(}ss|-JRpOj_6IqyGMX4=f1%+HtxEqv92^{&gm
zH-*gt)u#>Mu|>1p$KaW}Z9>Md?q|81mazXZeqnRism1u?3D|Y`*;xyiXRD-)4IE>$
z(bgKSa``X#G~DMDmwFa1qYxOkhePwfraHlW{nGO1V2#*qJgzVU_2m2&SdgNb=Q?c7
z`{({eIO@8i*$r4Y|NZh+xPj`G*)90h_Yb-raN@e{y%4y*J3EuC@6pn!x)%w5x}E*U
z2M&I9?tL`O-gMnO5Y}5|?tBRIC0?W;^IhL=*D<6M3#*+9hC^SzVl0Cz7a32GxVX{g
zt`ZWzdiXE-d!~b5yWYSL3Kv%{z`Ym6;+tTuRM7`^@ZgO*_vxike>3Ti=)uVX_8%GH
z{om-6$?s|Y?sShdyeJhrtO<wOX|wHz?e&Zfk@tU@H#D>R!1AjG{<84j>{gTOaE$Ew
zXR>}LL|*V{47_bEpqIpVCrL%!gB1ez?LPz$E8K|6f-CRGNRs!9h0NmL<-oTc6~jr~
zi@V@m5v+MOYlxH=k>XaG=P*TxkrJ7YGnAX8c>&9=Rz#}8=k=+zU&39NPJh>igO?Sw
zTVai=-FHd8Oa?3MTlk0mO*uvQTevXod)Q5C<TfdP4AW&tN&EuG@?|m~C(rZxD2Y>q
z9BU%$hk_e?K9TS9nxkbP_kU}j@24)<^{az5d4D=#@MIFnXUVDGv;hwFv`FfO+js9U
zU&H<7+RwJL8~#xDF=YmhI6=3wA6{>eT$qM)D!z`Be4F&J*iksBYG8Z_HWwP5BJIJn
zMMdUkc+f^UoYenpM+`G5WYAwZ@oEog&;K>t7~cpFQ&`>Zge`6z8E1ku%sxw!_IrUl
zNPrbCJ>nHk+Kcxs&H_AeL|)Ml$<OW2wAu!@uIek1_M6`z(n=7PZ1;~O?cw3R_6NIR
z1y`Q$q`lClFMqHH-uXgTg|y!#?EiWt;Dv&b2a~YI*2&)eu$?>oENO54-I3&whksS4
z>yh@G{V+F&3Ov8^CWX|0EIZ4h)M2K`IWtmUaqWK;r3-&lV96o%oo&?WJAL?ca0WF6
ze%~)=C*K`~A3d$H_=mX2{C#b6I9_Xrl>zZ6!7%O9aQdfZJ6bs6_;ipp%pe|EN9rqQ
z?SUW%_?}EW2U-6m9`KmL1y=0KYbW*9WOpKkJACbE)lO0#Zq{G)xeA{(f7eguciFBu
z`rLrc4u6m!^Se*D^_K%+x5uMjNcp7`)m{#TIVdI$lJfTK=7CF*utn|6PjbIa&dFVh
zgCB)YYwEzI>(bv7VY=KO>!iLaZ{7br4PN>(VPXciMJd}qfiIt%pml%~Uuf9p!9SUM
ztVsRDCTB5P2>Z{x=Op)kdd=C<ayWtJrPF1Y=IhTLRj|0XLKCTPCS}%kyoNLA1$eyR
zsot1V^>FL^L=S(MZan!^3!L14{SB$F0;oEB+hIR@mz$CBDc9lNk8t0J?uT$VL{s2c
zKb+CBKO!0CV3avF3STd!A4!B+lKk2yVX?KJ_j6$Vy4dy^*y}{&_ouMz<~iL3c*A<;
z;|iENe2d;MxbCg{YANi@T@~^NKJ;+x*ekf+Xv1wLS^WP$NgW~Y7jR5z>M_7OI2-5k
z;SY;udhBp|SD-q1zaY?mtexbKIOK&sfcY=av~$8%c}|}b;Oh=DF(m&2)w*94?DSba
zW*fYzwW8||oX_HWj0ZjzXy6$H&(hpDCP3ovHov_I^Z3<q?0{n@9=LeJC4XLV2*LIR
z#x<U>u!hb9l5hRjhnlo6{KC=?Bw_9CBe~Wvr=|O;y>N_~rxCgShPRDQDZ)A)9ZN^y
zxzmw56yRcZhx?@b_)u@zVF`EnM#w3{%Gw_-t>E$6`501PPb!pKo`X5Pf+tA*r@RuH
zXb<0I`l_Z6cRh7Uya4Y~_P$5TU(KjS??rf%Sl=9Jf0d7k^m@X}@9fk`ecwQ{iNhN{
z$k6bRl*iplQ|$h5sK}88(q8DfHXjXuC91OwPQjsP@{WeWy+`(@S-{3jG11|~av}dn
z`|Dim8GRT2e2CiU4E$l{OnWS>;BzLIl<#^gt@b21ezk9nl<$w!`{^ITTA|V>Nqd$c
zzm5J0{O9`9JZIR{ib3xwOkumW)g2x)Sk`?8)3v!;UV;tgzlRjUr?=FXlk)x~?L$a8
z{Ay|+ExA6gYdRV$VH?i?d(xizzD{dwhS}1L=*acF{WoJ%3ryjg>Oijd_>u5Uov>jO
zMHR`<+I07DHypfbz!?JTXrDbi3Ue)Pd_nTpxi9&R!?!ORaD~Af#|8a<!HVn3i~(@V
zQ~JXz@Idr(5&3)a)-!5rFyAXxD$<|OU;0S-7v4~``qUNPBvnL7xgYh1wd$Yquou;X
z1`4>lWHrSW_N%|tKn?dz9-1fR>*S{s!Bnte;_^LGzHZ+5dy5tJyKz;4T)!;25p8Bz
z^S<<FQoh>x^0c{N4}DijQa<e1qiHzcz(&z7(%yc(VNSyb3;aF1o0Pw$GR0ON_|nJi
zZ%BJC_54+f2>j!9sLMV$Bl6)LAvl6ki&+GY`^a%e7JfDJ<oQnc`q7^T(s0f_+Y>zS
zGb<(oE%-n2&xR~8_wXd+e{iI7@=wy<j{DWp1;UbECLc+EdB>fNdbeOz$=lMT{dnG>
zpj`$V$?9Gt&xc(bB5zf|@43BN$@Agm<2pfYu=;VK*CgJc@?EnP-gWc$Inv(J-Pxqs
z2b;GSZza!9PCSpOd*M`@+j;L{=?`MmL$LT;>-9F+E#pn|09;;uAfpjBQEP3QhU*xH
zHEZGGBKzA@aG^ulbU7T7krBi#hxv6%KH(?ushd3Yys*2kazH-pAn5pdAN=^E=~WWv
zt^7(M154a@?<Vn_!uoYpctd!jXBK?RMqgPSKA1GpRS37`RUFcVEp-ETKZAGo|94Fv
z_RLTAFN1X^ihYj4)Ln{QC9puGM&)t%U+7WEYM9@=xWW=%+CAe}348l$uUf(NQk0*`
zc!I&^@|AP2fO>*N4J?smEaw2Xrssx|@r16~+WoF@xY(fqG9IDCc*gw_OfzUGPkyg_
zw)dB>!V&}hw_D&x1(%DwVV|+@6XbdNv-?D$KTK)vet`Vmws*qk0^se%0e8vs_i3i}
z*-)4|W%C4izV_obcZq}tj|(J|>p8Ld?tC0PT#)jEj2{Gly^)gu->1*kCH=3*!OPhX
z;opNhlSuz-d@=WH8tfjqXLSLtG~V^~DJ;>Gsxt>CDh>(fz|Q?oAFsmvW@f@gu+M$2
zl_gk=viDIb?3=Oc8Cfq*<#Y5=HJtE1f`U9B?mxsm_6j!biLs=E%Pz-`Ho~<&t9hh6
z#}}OzcmpeZ_`Q{s_ZOK1{2lP(?8%di@a#XIly2DQktHiXeA4i5azDIPvfP#rF0p$*
z@EM-IU0SmnuJSM$7>B=w(z6J{>({9*zQRn0H@}sET|601tiXw>kIzfMTd3yaf5E=X
zDa~?lqwbYBh68v%A^zeE5|<wjHKT*K9rr#X1YZ`qVafxqMK5n8{iW8k(VSfH<ns-g
zT(Ihos~ke`_JvD2q`!5iJ-9~@uDRwrL&gLCOSkzb1)nP)jiiF3g)hWQ!mqOCWJrJR
z@ve_?a`1A<_8@XU-~KjiCJSfv?GYu{XAk`o)5Gw0UcVO7pA@>9$EgZibVs_9>%DvQ
z9ESlc&ECUI?q}6`#~wZSsO;2pQeHM!)_gR9<>IKRyWw{<_3=h<Av<>tDUY?r&tuQQ
z;|I^B)WP~$MW$zAFJZ64RdCFAjpLW#OZG|Q&tdy1We!)kuCg#B4;FQ=XS)u^{B9O|
z3Y)Q2eei~pN`~4V!hd)e-#>!)9qB2FglWV@m@?t)^OZ~q@UKZr#(dbbB*!`yj=$_}
zPypKr->FW9AJ05HQU*s(criSHdzasbSHMd-C!EN5<C?^l@EZ8quv%3r+*Bgb@)|bz
zy@Qj~7gRat-oAn59#cAy`h_X7TDuL-`c$=p)DO>xSF}FB7Z&edB=y7nYnF|l;OhZL
zM9BS|Dw^0Z4DVnN@*?$t`*m843AkpZdmp)f`-Ak=zrzO?GX2T;*^B76wR7+}ITHmk
z{&!=Ep>_q%P2CYno*#lM?yLNT%~cxINd264bwrs`9`BQK--#jDmsM+zFBQDy>!}}P
zykmF0`*k|_tb%|FDGwHm^)DFU)0T6Iq`X+^(!XGb*LFVpMxGzcS*-tX!bk33(<09g
zZM%N{+6@my&P<W~sm%roBJe+xat%tvO$OuSCE*`8onlG8{Gnw}Dfsw(nfWbnV5f?w
zJbYVaM2+0<^7$F12Vs@0r^yVk^@bnM)!?EA;~%u}<O$OybvXYfr!E_@Q`({~e2V==
zB6<E$S7ner0;lixTjqwj7%gOu!I2XDTAZ++b&H!R%o#J9PM$|*XE@zX!HUejKgshc
zMfIJ+(=cVTvLU(u4cvqZT*&7o9p^}X%*l*dSNONIus&&j_Xp1Y@PMs&OOr_c$?1y{
zUNDuL+bVgUNq(9kQV1{7pS?!z=Oa@eGM~fwR&QiPVM99Z%op&}xcz~oKG;EJE>sIE
ztHmoGfd2-h>~4nZr~ZY>!lEwf=ib7sFLS?;@qvV_P}}!#LqCK3K{)dG(AWpq{+7e6
zF5LcIbZh`lU~N#*hQ&<6Y)0TeoIES$u!6=X>nS*c?UI%$+;BEBZ5nQm<Ib>x%~=Oi
z=i!vC=YO7rRrVa`UxxeXE3!#{DPAsf$3K{Nj_QviEV5Pn;RXeimm>!M?|-RX@JrbO
zKYAFuk@UY}e=}{Thj*KOstAFdDjoUQ;JsYDG`HY~6x7LFu!^WfZ5%Aldp2nYoN*$K
z`5tV}OTTRwtXkjE{0P1ub)HuoUOG$7oep<<Zs?bS>zI1PtKb5$#C|dOSWrfPH7vcm
zvQG)7Og&ppf%n1JE#>;uVcDgKEo+F6ALp>phC5tKUojwlek%5aAuK67z(@xlGzq(J
z3>(e6IJ3dMX`2)5;6je3lO$eVN7d^9b8#OpBk_NM=RSnN7j;v#$ouFa_b;<Yz-I%6
zG8o~;cUEjku%@u6It^?}7j`cd9uJrKP2O++!bEv56YdP#tNZ`;#WYH6xp26y%mz`!
zqa4dvi{abl!p3C3qF>EByDQ+AHc!uz^}|g&9(C2g6Y_DzWdEamM!%0X!0e}@osPhl
zHrzPc3M;02RqDe3&5U$)z_vRsUOEXctvYt~z=2&RwdQc(Kq_k=T*lnG4RbZB`j16f
zM~D@(&s)LHo6j8`gP*kuG~2-%;Xh2K;XCL5aN5FCq8Gb<!1;G3+uUIRntz>3uxC=`
zb~iXrQ=N4cPTC{k?G4Y5b+D|%YK8yac*2qL4tFUJqJHlf_6vc<_Wg>Xf%nyCcLc!^
zo!a+U;X}OVl*xJu;nSmcdEgvZ;fP1@&b&mn9q{4IH4U;pgYMn|HX+#8sp=kCpP`)c
z_nsL1`u82ZI@n_<>7EqawCBGEH8AZa<^*;4h`fsjCDxz3HLQ=<g}>%=HB!Jfd2%O=
zVgCt*UT(N+Zr0o!uBsapChJ|aX?=K3!)$ab3j1Jt&4WC4@St(*?f<Wz(KUMD1P>45
z--5W=Fw28W@Zq~-k&5t;QAYn|SoDO_H?m%bFT<|i8<q;_IH(4<o{6!%0oTy`&Ktx3
z(Vwuq1s{Jxr)CJNg+zZ2h5x(#eC0H}5OMNzG;A5AtVQ-CyCJLjFaa)}l{w)7cS&<R
zd<aWel|CiwBP-&#t)IZ3+R`h-;b-BqXY%03kG9j0^^6<qj*k|?i_4`oiLfxM<Y+l8
zskoPkte?`MPCr`>7f;kQK7|tteb3gzM-!wt$a<{Ivuoqc@P-F9t)=jGhr#i7;uqrE
zN?_?;C%bOAgQK*Qtp9o|XJFS43qRrAN!EXvyekzMg{S4mWcuMi!Bmm2u(jmjfL=J`
zy-xNFe0!!=;Vb;ZUoLwQ)-~b1Jqcg>@m>5E?BNinvI2Lm4v14I;`u^xI${xi78>|t
zGtBlSF_j+c;nKssf6&8R0#mazFo(RsMHcu(qWKeEnCqU_MQ%9yaOx6SU)Z~eSB4+X
z+o(oO*6%r*^T-IpZ<%kJlJ$UYRU5BL!-Bm&+fTqLYV=nX;3$<67gPA651*ncEPhbs
zhAS-jYp<dfY_;W58`-Z<XvuW#2z-q7=TH#r;pDP*3|80PE*St%iae`53HzUoS0(GI
zn`2vQZD6kTs>u8BJDSZJ_OOr(wPrT_?EP+y3vjWAP%PPR@WN)7MmPABl8atBtS21R
z=mqx`-%5NAukEX#zDDxdpDtCyDh!{g17MGh)f!dsNs5D^!7x|-pWiKT^a1P82)KSb
zt?nB*>+4&(yYQC-|55b8ZQe_CiSR`VL&F|et4`7&30|Rf${vDinNAvHz%O-Ne+|G7
z{rWmG;T)^9XEX4+@YeVFur^KF+BEEJXuwhk=dqTb_z80qUuP+Y{bY-u&cW6vnvPb&
z)KSfpWWPugua%><FtgArlV#X1<-gcExU8!)Zw)T-_K1B8FAvuL{R2xr;^S(Ex5!Tw
zk^L$6_Zf42gy{;qH_*VLgV`r~VK>WhOBVQT$Iyu(_>pdF4kOHP?9hV|c&B#XW-j>V
z#>)?;;DDU!<7EHKicKE|reW4UZwmNeD_7dj^KeSn({-|6X87Et?TfJ5m0}A)_!MW>
z_CN5_>pNNe@GVZZGymWxrE!}?Vc*|+XErIJe)l?mR0vM@s!H1oE4{j$F9BC`EvC`K
z8Y>$A#Nkm6hcQNYbEK|0+3(YW$$eZJR&N&?C7<_OTS(sr|FaYd-VRs3(aTVV-31=(
z;)czvnyi)JV$P&DOz;y2RvTS-;PWPXTDU1Aj9(jmphQha2_I6(<u`;6+LT#Pz~{;Z
zhxFlPfy(t2{NA&a7DE=W(E@Yw0$d>4mTV43@o*d_*SmFSEcrBS(oh}s1y0d1vpfZd
z8@%36%1@V{gQYDTdfh&dl%EQTejXe6rTux)Zg`}6f#)LpQ#Ze{4UX0Big$)PbSjx%
z!qSvI@ow;4D)ZB%eA{2wG9~%NELNMy{ss~inx>xc3zJ_aWIqH`PLVE>e=3A3ne4x?
zD#zdD1<M|L_>J6;-*}><N&fR|kE6)`2F+E0(Y|nZtI`nJ&tY_I(eN6qYpNc28~#l-
zZWsWUiuHEhf>qs)GWf&%>_eWua3Z@hLkQgGa;eb=rf<w`4T2Rat~y_aKkoHxy$cJ@
z-P=O;Lr@AD4UL9>WhCdFg9~+DhbF+HH--P&z=jihbmHK-xP56BuubHM_9M8zS5f&m
zOx>wXoep!EYL4l{*=2mxS#WnnlawwTqa4`q1g1>r{HO-sd3>xP59aeT-mL;xU#tws
zfe*d1d@BcYp12iI1iujf#3c(yIeb$qfE!xItHojc&LXukIP--S9a%rkD#S_g98Rxx
zDkST-4>0$wSHaWLqw8e-wn5gRmlbfwy&sRr`tZ-}f2(U?|A@0cSzzr2t7|XeqsA8#
zXy6cQMV~%c=D_aGb=3bievQ5ufDf9o?Irt{maWCV7=xW_JbkEOb@~OBDfreOV<`?;
z$T?eO7WVIYc7qjuJ!0uU4@b@>_VL1Uf7tz3;V(*yBHZx#xz^Xe;p*(q0Rpf~!>!jF
z4&nLDMY?l4tg3K$(<Yc{FV9|K`1RH2lq~Q+?y@%|Uu(<N|JdMm!K7Vc@S{Id8av@b
zOCq(q;DIMaw|2q%b!fMd{aNL{Io%S6OU~&zk$hHmh338RdD=Y<q<vzM$!b!B7jqt3
zll(_leYYyZ%@3}>*bgh2$Zh=(?%q*IBLiRKVA9iqEv@gIQ-r;9nsp7}5{nnbWd93?
zA5X%K;Dwnu26FwImCuBm!LgRLmdYefq26`^zOI&7rU~zpd;ZQI*1k1*l;nrAK4f%)
z<)4@5>%cRsW{j8MGhrY9lKjpXxw}{3feGItGdQSYA?6yKEE-Qi$|vicFWtVd=yAuB
zWPcBqTaUVfU`dASS)@E)8B8z_g+EyHopy#_NuDr|hR=tH=Q+S?Iu--5@T63ejThXx
zz&DTtQ#ZC3c))kwiJwV>4IAw2f?=EXh0{;r<wnPnK=_g~{dg|?kN2-*EF9F(Ggb`q
zhy5yxA)kN5o?Qt`G9PIs`=Lz!oXDz$=_l1Wvf#pxd=iZ?!~K?)3RuH;e(yW@RR0U^
zGPri9T+w@Y!?;R&6CAvgzNi;2xhu}s0C$C0$$f?w=Ce9Kz>UN5a^vt8#wh+Sc!JXY
z>LjeIbi}70Ug9`>bq4ltlX%k$^H#W5&ccU}Obd>{hl7nOm*M-znl25(u1|yiuEM>$
z{97mCOex#H>#%;>37&Cy<o!eCjmo(H>zJ>6hebKAD{qD4N+w=^g)i-|_M?Ssgp>G4
zeg0bZfgcNeF~Zq-7T(r1^qLK(J<8um>VLO8FJJS*A0)o9F2QHAO|<yoeI-V3sL)>2
zzmU}uhL!)ZbCULiF6l#yI6T+m(aH*YZmw#Ph7U%_@i4=3PaTX7z=|(p+6CYzPR2&c
zaMg%D-wt@OjrPM~n8N;1C)v;1_UlTw4qUQg&c7G7VtRGL0G8>@`EUqsy_tXFILzE(
zA*cw)-r`I$gLM@*`l`cUi>Z^WV6pt%7FAdzX`KHo9O<{>XAHXv^zu8w(Pxs{4B(X3
z+Q%1Qwvf?))9}Zv^2b+T$q)YTEnz0EXJX!PvvJ)mvLCqAkt{KPc$xN8w-a2uDC!ab
z?`i%caTzWd-{letA6tpKb`fr3lUj&??>N7e@`sZwB^P4hDr$=xzOc|lrECIR{c7<O
z*{{6uONH!1c(~(+a3K8SQ-4JUoUBwha1TBwJ6MqoV_QzK7??K2{ckSpap7HHB7C^m
z^KUU6Vr|eF4<AcnQ7MJ5*^TW<g*DG}s8kcTo%T+K8@r$Tzk+ji{p@}WKc}wte+S!~
z9C9W3FT&5(x5I6}UEe;1?HL^E$Khw6ONvN*O`nVU3vBRGjXnz&*v3h{1ap>dewqO*
zdba7Tz=K0k8*|};<+nOiD!8Ak{!4xW>s`1VP7NQBc(;-dTX+VCGr&5A0{@YG_Y1o1
zOt2Yi=ED-0QCg>+6V}gK{$2<_eaghb17CgVtyKxP3Nf(=z=m%c?v=sQ+Xjva!U>Yv
zv#;RD;{(UUVB=>IO4YDTOK$ugxWJAvz5!ln%Z)z>zi*9{s)2V|2lgq!``^)rll|}a
z?+NTvhaVJceIofk51rxDgjuNSW!hl(x-)!7V3RYy{954G$JEXk!aW<^`@7(l^D1X-
z;pMM?UXyrcnP`R`Z1K*GuN&4^*_GiAFE&+_k?$*e!anH%t1j+k>4D#Vrk@Oi-8yY^
z-^2CRn?-}+6s?b&`(QDwMvR3Ww*E^c-#6*}FaJIqHTdcH1pK%DcYZ4TaC#zr6z*!G
zSV)J<O-%kx!v}x%&bPvMvUOX?_YEAb%YO@>yF7le6Q*!1&VLUZPWM!|!`If5oZDer
zHn+1)@W#g>&L3e<rn3e0u#>Xo1j(21i~my$-)L5y=!N6A25Xb+7cKJ1qy<(P;}N?-
zJ};PS(g~;X(0g8ksf})GzJWt)?dVU!d5hYb9mH`bEX?6xfrB;V^NCS`kF`jC_ODmu
z^YaT=7Bt{2&xLCwzvwz`0@*)bKhy5oAUyVFLW=B{&$r!DVE|sLzSbiFx7@CipN88Q
z^e&P9d{5T%r7y6=`7sVse<c_*EiJ*dwT}yU;aQ&b!k@5Lh>9tx|611c3pc2u{T^MK
zrH4H)$zNDUyq_gHmWnvq%Y`0sHaA5{3ix)OwHPhzNZZ>@>fe&BaiZLCn5)MHQePiv
z_nzc{_q(yNO~di_=@YwPll~`pr2bF*7?8dbHqz2OO8VRTb5hdw!Cuc>zkh@q>aJNy
zz;8ocVn~1ccJ(H!{qXysJwxPq@!+;m9vN8Y#k;^dxIOM1&p|j}DfE2}oS}HQ=Ky@9
zTila8pVA$u{iqCc_D$41hd1v`zN-WebOt--!Fnm2ch%u7Rw||0uxtB*p&C42HgYl@
zj%sx<)Q0_=<DQcKdVlhcHzYqXzW-+g?06%h8BbX?Rr@1V!{O*1PC+DpDqCujJa5z8
z><%=9-P=Z`{o!*`;cFzHx?9-yB5Zqg_Mb5<9@O*J1wQYU<#`1Dy2i^v`X~P$QF$JN
zA0K*aL;5F0E46dv`y#{{{@?!@qvo75g(p@jf0O=ClfzOj$#?y0nM(Rol)wMWJqgPh
zP|uM5m{6La;|X}UI4g$q*Z9UN?Cs&ap(Sw%_=)>Swj*5TXnc$Gzu((l$?}A+df(Y0
z1wUkd^xX^QJTmE}0Mq37Oh>?3ztT^W_<6>Xz0q(X-D(AizYe-7{sex$CFUWC2k9T4
z%7E1vRR1IW^|!j!lZ7zbxY{7uKdHRRE8`jb(_}t?^pEepEle+kc{g6@;DVR@T~3$4
z?45ibOz<RgnpG9ty*c4EJzT|T$y)(`J)rGC`r}RfVLUak!osVPjWApIhI=I6-<6+Y
z0sVQpo1%AL!;i}1^k?B)v*U&&|2?JF0vQi_Y`4X*2@Zc>sXPuR^VHEcz+Jx1<79m4
z3(F`?D=gMIu<sN3{Ipph$$zV*e2wg%HQ3}D&;~Dw<Tp3K!QaGGNxt5^)rD%9Lswa)
z3+6I!tt9(#X_u`2>40zgUq4d>v)`ls(*rNMOyxd<J2h&{KEQ6P_f5!tXrqr?N(bOD
zr;QIE!IH^=m;2ytrX?C=KQNga5tpW5_PT4I<6uew4T(v3mUCYKIp4rYRc+5Ad?4&Q
z?`^m+{O8m>d{if`)(>WR6+A4ehW_#*!!Bo7l0i5buTIu{(QkQU1OM}=NKl7Isf&J_
z!K?~K$JO9-eV0<nc%z5?sIe(ry!&6E7JN_sGQ%;r$?=t#3jEfRm(B*>(n43K08jNk
zZ9WY<UhQy@f|-3ho9y8HnS~Mwm`Qn4pe?-PZ>fb49GD*G?*{*I{kgyo$20LOUxX{a
zlqYb(UpmK>JYmzx&T)3);Pb!SVZm1kq4aQ3i}<P!oTgszkp_O)R9xZ(U%BpajqES<
zCHz9MA3P8o*1V4K-{$ruS6{elr^$sCIEEwlLJ&+{Y+Jbq|Dvn<Lh@567pTVJPz9&S
zV3=bkr3u+@h;?Q@o#eOlyjkgmWgjG^g~L+UdeuL|6|sU=q42kuhhN{pE)8!iqhZzR
zoc%4Zh<NV@l7ExxpnoOYpz7Iu7p8rw@vaPB&smEi`O&kqm!H9k>h~iPNL+&LRW9tk
zv_n4*zE{(4OUA=bGL-5j!_+||1!?eOY9;CiaLm;#)BEtg^mkP0@SoSY>102mTcakg
zAHpG=SF|JGmuo{cPvCD~uG}O05$(EVd;JmYk*s_$0M;A2>|F%^Y&y_+9TsC*k}H5~
zCpTQZ0-woRk$DMMa?LW5^C6mpugq1!t*MpI?csvUW8XU9I+@`6Wd9)no0Cu5;8S~#
ztC+!D0R<Uj@V5V`1P$Rr|D9(>;QtCfG;6|@Jys`|;Y~*zbIExSag%R37vXYIJh{Tp
zF8yHHdKmSWUh#f%{=;<CvG&dI{QZ!Avj0#^IdzjLY~^#-l+3@Rr{~k`fp1aXE+G56
zzDVA<RR*T{aQH7De9P!$)B(77@OA<DzLbYW5z4RwpYmUEILX1bQx%>}Ic+Kn>t1}(
zp#=*ZWlWcXua&v6>B7^yB>(<@e<aTq7GwB{L7&zE#2qFMCmx5rzOnz+g5!UsBv`^0
zH><S%gL(MR3|PU|M|#r8{LcIDFZ#~GH7Bmlkog@YZe1HEcx5Uljm+=#D`cO!1iRR1
z&5-$>cPbu_F2l(}r?trZ&Nr@}bZ<C{eL05A@0e`z7P|p6#tUe<!iG|VBDaWt7R8*0
zpM*LrhQl9Zzo(M<nDHl_3wL3UC6DhnVdu{=-U)D0OML2G*!Kv9*F#w8*S7CbaAxns
zi!`|NjJPH#e?l9MRXv42Q|3mK@>fBlyq*oGRh55BfggO!{Z|Mxb;}+|f|D*kP%D8c
z2UMa-`5vO9Rjq<QIhGBO@@>qz7Elc@*4D^n!*jM5Zq~z+4Kg>$d{NKWbB&F#n~UNA
zxqk|IH0!$IfC0A4B;UP4gSrR4)XM#i%ojaPD4`mJwdDP{$bPt!&&za%;bT_=+{)qC
z8{##8zz@pRx03yFN95B&=U`1$jk8s7z+<M{D{wJeN<PWwKe^-GFWB>Y(w177!Y{Ig
zLLKd;+``e9@XnHSMoO5&YBrDTH>McP%0L4v@~QqJ^Hme-;wE(P&RE5xt?<52Nk*)2
z#+%@jH}E-{ihJyEVzmD%+0SgqO#JRP*je$7dOMs-t>3d9c0F2~+yiUVzxuG7<hyP9
z+6^Zvj&qB^8GXMGll^_|f0=Pf!UC=e5q+@X6Msu7SXx+OY7|!9wrn8}Z<KP78HRmL
zkBuq8rT33~nS;l7w2r95T1+>kf57T_6hfNtmm0V5Ww=hlYu6FDDL1|6C-K1|2SeB<
zFIws^Z00U*ZwlXLsJ`|KUO4}B)&f@D62Fhs=d-_d{ji3&eSG0V4M$HpNZZ1)?U^4K
z;Y9Jtea^5c%Nu^u9(;?FxZ(nzK3U{V+KZLDxtHDHI@b0E7Wm)wUu7Qfi`>#3yfBT-
z)za&*U0<6MX>Z2AY*V=jmu^bjE(&YSr5w5qZ+w{RNZPBNRm=Wiu-U$-I?|q9_wn+J
zfd^Gm81}%t4Ik?7!Q29V4zjSrp%Zlv;Lne57nAnz4OJyIwxX%|^U;x>?9aDJPI>cV
zc&X!p`2n~klO{3?z9KG8rwwb1$J{A^H^qpVk^TPSt(`fZ!-o%z(wM@><d@lAz!ppc
z$B)8{8V)C3!YrfDpPhtrI)9oqz$e9Wew&m0meJui@M?oaz9TH0cWI~tuJP9WWd|oa
zxj1})DeRYWJ>m3+>vjXMM##{LJ4`!!GiMOK@Vm&E?2kOu&z?O2e~L;-@`h!zlYe}H
zKbSZz--Npjq-K7=wpMy-q(8!$R4p|R@4CqQAO!YZHQu)h_s*?Mko^_|-LF*qg)Qms
z-6#E>x!Lqm8V$VfZL2Iv_JjRw->bq1ufFUWO@n)HT~g+N4dc@Ozn^SsF>?SH9IoON
zO!`+wp*j9LV2W^=PSU^HCTG+r0RIg9EuIH^)lb)pz&ABtd1S*K|C9~(!n*r(#HwJ~
zp#gnac#qYVE9Ef5;GvK5utvfikvH&VmZ5GH_@cDd<wp41M|~>|xZ_2WP!D{>YTi;0
z)~xfn)D7R5a-KAVN0L`|O~C!HStm^4Sf(egqwo;Rg9|5NdqqCMpRkmwri%@1%+u&H
z2k$oRTegGsV&w%kpg(N)F=WXFK0n;=yoR`siTS~ca1Hm}hRulUgi<Sb!b6{=m^Q&>
zwuP^K;C&iNb!_nY*|W7bVXuq(8CYQH($&b@a4y{uUNSzvN3t*?3O<xHbWQ{oZLvBP
z57#UFa8rXFrTHvV;IKX3)#Q0)A!AJJF>Ks&<1HD#_4<`5nhUE5P_Z9}dH#zkE`a$5
z&6~;mg!hbDQ5nph+RJhl&JQ$RseqNe{mzr|Td#5M<r;W<;h$16e#`!cQ?U+i?Mq|2
z1Z%U5D7=NEZ*iR@^B=}f$9!Ais`VEoWIT7uBky__e2!mo{W5GFUh?__%=q=a`88Ov
zM5|^DrijU!A^DNx$Ehaay=gjHH{g~-J2uV0ZlcekNq+2%l+G;79&+Rx84tcMR<HRF
zmZhNcBl*fppTpMSV~;aGk@4eyy-z|n|A+DuOR*~m<`-;e-vXE3PP~2x7JM1e#t6Io
z_|X&!Hv|{5vcT5T!2)+-sy-hUZg`2d$2kh#BbZ^v3mZOkX-I&d?zv#P6Rw&mXN-eQ
zmhL~;1$%cKaZG_Xm!3-$hhN^kSNs4@5^LVI4?b;FX_pHRABq<|0AIcFr+|!4|MA+K
zuLwtkZL_U}TZejc50ki%c|IAR<{Jp#U=O?J%xjYIQ8%_=iVLun40rTFxTIGj%nd#h
zvRy+DesK11s24osqZ*+Nx0F3;_krIF)P6C7EzHv1-G&!jSA9tSSR);4I80~h@!=@!
z*T0qJE}UH&wu6kP{&?$U77MS>Q+u6&@5XtWCc)aZTy>`KB-Qr^DR8ge-ECxiH8Ny6
z@iE*K`OuDxueN%g9nOS99l2_3VYfn?p?p|iCqE52UonM$cvm6Jr5AsejJGN?4-1yV
z$FC;l*~6<{6ZtRTUp0YeuEHBQzvk7!MJH}%UxDMDF8yqPExeW}$#`po?UjXAxZu{0
zBR(*{{6_h9_~z2-%m8@f*Ubk$!d{-o=KbIprG#s}@WuW0y0_s|kCJ_cV9Gru_sDqd
ztfx%v2)sjK=Z^?DF;1ao3f6f<FCPv|Pj^v$gF`61qsjPf)vLZu3$Xt1nf_?l5{DQs
z!dYQ0vWf7mrd!$@HSv5{6y8koGfMYFY=WIK76r(7?Y_tZ;Vf`Y{^RFle7E`j_<J_E
zWrBv0jK^;E{m~{0-=gvSPU68TkJ<LXYQDYyk$B;$Oja2<O!#3W`99T$HYfJON2b@N
z9>e_Z=ggI0@h!E|Wc;>y|LzoJc$s@gcn*BBRwVg9*gALM0~rr~E9-MXAI|8R9jS$T
z@&a9s!W^wn#L0N8_}Z+p1-!UaaG)11v|T@B4O{42`+tCE{;mpLf`5t>EHL8y(}I^=
zLRVqB7sr+8VNPlL2jTGNDYi4_u-dJp#Jh0i<Gifnu-@UY^NDcW&fCu~z*_?wozq}G
zHQse+_`e-(hn~VaU(C=1!BYtaN~Q4bgBwzAz!ZWOH_PEM3XPRu_`P7F|0{Ug<t9~<
z?=F$uR0|h{Y)QNW*Gx<|Hp7QqgU3SQnTzXmEpT2}qY^nk*TLS8_7i-Ny1bp_XD}og
z_rvssiz0FGn<E28qwv->J2#Rad*yH3IQ(=ut%aP&o91&Zb^)eb@v<WMzOOR+7vT;2
zi^|A(#+(iUeH*o~A0D^2?tOT3vmrkf+@16+gPiZn&f2n_74|%5FP8+fMN*t&hdCq?
zBguKkCsz;IZi5pVW_wBg(xPYfc6eccUz(hEe4DK_Yd2gwb;*aEms}scI4cbI7^HQR
z^Nv&PWo9Kve%lOR9(?_r$9^feDuCCMoOhf!|6Eoc7QA}4hMbqY<KjQ>gK)Y}BzF~D
z)FkeC3VwaDI+%Q(R<&o}Nw_vCPU12A={)T|8@Mmvjb}Q%MY8nkY4{d%#`Z+`K>x&)
z9XxlV%RU}f`4X9K3v0UOF+{@MELCaF@WylfX5ny!gY8L2cysCVHF93@l~2!3c*1}8
zZjJVZCqEx&y#nu<9zWm#vkQ8#T!UTC)A(P8&tKwg^@6oRCxuCQqL(|+;s=l1-FnFZ
zHg4+=^o7r{PI8`s?OA>X1i@C1Hd~*9A1uZl3V=g`#;8eol`PLv3Wdj#HyE41Cgb|c
z!Eo{L;0igf*iQK5QUvVg_ghs9_D%km9}a)r)%%5<SIl*WI{z+At3SU_2^QnevX6#^
zP1<|NdBu7*`F06#F~uam6l`(ckUtK-;!xj2&MT&oFxrs}JErt93BepU=Xw+27W=X?
za$fPd9bY~^g}u)7=y1UrI|HMhz?)*r=E(gy`Ohmd53V(<Q=o_2bUAc#;2$#?!<%6G
zC)C<SFrR#$=th|GP{xJ=cv>=|;}`DtG0rH8GB|2OEcXihbycjg1YWoBsQCe3ILca4
z1#c_y-ufL5@y&CqfJIy_3&!Ab^XN-8aE+nWuVMIzNaHxk-!mehMb0Z``I0{N8g4S#
z8TAg14m*@g@<l{99U${H#|6J9w!z2l|7|Aq(~w8Nu~xXVZ^*R_9y2_Cv<r6m)Kgvp
z$IN`Adk=?Pt2#~QqoykYX@=mY%^CA#{;Fa#SN#A?$sUqG&M!W&<x%Z4Y@K~p>^>~L
zN!Diyej%v)J_;6$S@fEP|CPw_koLl~H$Y|v{t?Mj8w95^{NDEmPFI;QA?*+Qrd!ji
zaB<MPU!ElHI{Rg_HtK)X@Gx>-@j14uX`A4|`76?-eRMVxPNjwau^ao4_R&-G*@>-i
zgNWiz(*9a(wJ>Lb{kvJ6N&8!Tc!Ze&9@1W8J_dUS1v9b3^4Gd8Nc+yemEkQ5ENb#<
zgAUx$@~oK~7NWnas|mlkzyBsD{1g-Cr2o;PaN)*om{yxFKps{uo0AuWv!}O;?Std*
z1s@QDnPon>k@;PF%dPXmu-bvw+`HlOiU+e2unBdT%}#i-Wn0!Bn9b$tRvuV0P43A-
zxGZtQ12&lcY{_YPIM#VijSk+`uV|$Li@zxd-3lN5QqFk@j{EaaY6E;>NRdMW9vVL7
zy@vi1gIsyL8r<uCL|_>fR4Z;ZglXQ@6wSd)(wQoHu$W*v#W1X=9Hn#u)=H#}>4T#_
zQ7@aqZkGS#JK@Uj9*d{ozQH{IcKCYdOx{U2d}FEzd4HgrwKm%k=8j#hsD&?N$=ce(
zBZA-0koOPLdJ=3dz_haWvP$8)GTLqD;ZwUpjPhYVJ7=EDu*r+P_sRPV@1j0;U4+FM
zcB*E;Mz7>MJ>luS4I!y;lx%j`6<B+uLXz}P8*-0_1i)$eD>X6jzxQ=&{xH|O8GF*-
zE#hTU4S`F&LkdWLIWWxsR}ftC+t-Zrr*qWL&y>PbtyV|R!xi+*vK8>eR_k1MICHOw
zbPe2^HMB^c2d;Ylx%wLB-#>iB8$L|`!Ra?lmtzoZ3*VdN*tH6$o;Q`Zghj=#@Nd?^
zcp@G18&mjOb@3-k_=*D0MFaSl<L4e4INRuQxgPvmlQ((`{B7{sX>~Z;O*N7c-sRhs
zsR}DRxUNkPe|Pz8AP*nVO3`E^@mQ(&{curb-#RnwGO4J%7vAt?`5zaY8++%L80_>|
zx{L$9s-3WRC+x_5rg#_0-!JoW8|)mCaDFFjc~s>bd499h>a<mcJ5&vCZG}_S9_6UQ
zdViINnBkhG%1i@T>*F(5I(UBTy&p#ZcTzL?yz;51(^hbP+&^<h*eWbU${LpH|5C^a
zcci3>d%)~>Pll5CF8@%stMF--!($}way8NE9_+`TNlE5!c4tKu#=$KeA(rg$p^&JY
z99TR*SC+&FLt<>R;7z=3{p5MHnJe6;02bru79{gKdA4_W^Wos}rMJKEJiFk2llwV5
zYX6I61#X_ctwG{5Yp1ph!ke;^G&5l*E3=wm_(|yF^+)h(n1_8YocgbPLkg^M#(4*s
z@9D8>tb71}=?`h_gzw(!dqMvF6uZ5A$$2<_dnqKNU}L6&R`Pzb<Reb0+i+-oVqg>e
zjZHTr5H9-D+DYDTj_9*}d>v-xEefrG*V!I%dciwVhI+~S(Mh7Ox!vGwkylYU@Mxp;
zngcwzn_(|`-?~&s;jb$^S1Wxb7-s4EK5Pfq*!VD$@tD0^$_HKG*^JZ^XJOS<PGd*d
zi=!^n1fFLdFt`Z&e4U&n^EFL6bXzXKocmVewBS9HEmT)vqcH9v4fx8tJy%J-yo}Ob
zGCmb#G;zff*5tRmLdK_lZ{Uz5`4Rpu+sOD=Gu7KY*WeG!p|)iF%YEbT3G)97sYs&T
z4pRkZjrqa!Wo1Xnc-ptN-XvdmU;mrmWW4QgcR*qg{Nv2%VJ6tlzUXKGe0_59D>Zz3
z#@sj*zP3msO$C2%xkVEKU+U-kM8*db7n`X_d5XWK=C}eI2mX9{7k<!toM{#w5sG|~
z2sd9jYyKVPm9nQyhWU963dwwqNU+@BLXzKVb(_TPG`Q4D;5Rw{jgt84h_>=;*hS`$
z8~Hxna;cztn959`h5WrUd5=AQz)N@YyuZNj74sy&!_L|50z>elz*l0w;cwd_3qQft
z^>t$_uvbcvIT@cd^VAwygS~e|q_)97H|iz+g*`SFX_4{Y^Kx(FDRnWQOB)tR#(yK|
z-x+OyHH@Cgk@4kkwOR&SVD8Z%UoyTNH?Bjy8J-Bv-c81<2e@lC(ZizYzAkw%b4YD9
z4SXsqgY7Y_t}Ii<3^V9ou}p_)R%P57;hd60%0yT~GVKxv+&1K>7Z2Z(O%r2-JF+4d
zBH*;|TSa(b=Tnvk!{Nw7TSvIy_K=$+WPT{a!)0&>JXWtS>JRT_Js-~pXB%JcxC(Dd
z7mX2zLr$!pz6@WR+odN8I~WU7JHr~9zS{d>1-`Ea4zTs`)eRD`w+HhwnJ<zqd$%SF
zx4!K-bP8TdYATb4F9!V@KL&R%az0mp)oe=ln84~n%oh&8n!ZC_I<U;TrL!`eI(DCz
z%(oa_JHAT^rnIhmP3DtKKPCyN!(#?MG)l1G!+U+I@Z-IY3uRzU@17nlnBkGduYGWH
zL|fE<@ZRyjR1ui=8(oAxEI4*xYB#K*N2#R?rw7_ZlKG@;kwY5Bun-+<4-fpXTl${?
zypd7amj#xPark{4X5I0<fe{`RJ5_uX)(PNrp@vgvA_^?vIo`UGO)#s$O-FP1#>kJ8
zf3e<a<FkCb({Sa+gp6OXl5+ZvQ*ef8z3x10!~b@hE$rRp6!QbN{qy33HC%BrUSSfh
zvl{MnfQ2Fy{m0<wpw2KmxW>~#q#u@cnh$Y-Tcv3(_QHj-AAgg4eSX`QP4LbQKUQ4f
zr!Jc|H^3hr4HuC7=u1+0FW|ciKT$04KAcwjVg<Zybi&RJew+LEK_M(wxOmnJcA`xf
z%ZJ0hPi*sqf4y%AeFD!b&2js}sufn98Sviv;Z7fT=Sa90*}vj@>}2~*nBG{hHUZx3
z_%Xx}R_il%Ap2KPu)X!lfH&o^wB3ZWRKC<ahBf8~g~<K`_mul8i{X#zgU^FtshevX
zN@10@Ooj+JX#4D+I@ok;d@@<@#^%kV-Uxs0Ikil_zqEMEp>FuvAEhAjeR9HzfgfQm
zh7E&vVFM~@|IhH#V@|uHVUHDu<{_B*`5xc<uz;ND>lwH*XMv8ak5g8?w{;HQXH;}9
z32sge-Mj*;Q!wU{{JWy>j{JiC7h0*vdbxjx>UAmfaKCcyKJpOu`j0kdBiv~=@;DQ|
zKermj1TWAA$&!2qCao?O_*<m%oou-3$)OHzxO97HH_4yWh~mW2?ll+Y)b<v@XCs5z
z1Yx(u5cfP-CwK7VZukqU$~$sCXhil$^F1*C9e=iBSXxs$RRY%kz2Akb-&0-{OWqGx
zOkFN1hcj5h#t*;`Glb}C;Y(KoN0ea|>NCe)!uOfKim1UojLdnBu+ZuLorZ9Ls;45!
zH)YatGKOcvci(#hGpwrEo5L$7O!`UwW|4w?3z%hbO{N{bP?wcs4eQ7W`?SK+ZrgvJ
zg=x2Uc6Gz`V$3s_;9*)08<HPCA1><-+a7pX*#nm`+>-KvDaJl+_yC_gw%O}CEMn<r
z@fqH>o5CXyp1BsE)(6La4XnNe7pW`#9))LJZdBfZlRp`#4a4e%TQ)|)e`n_JPr=e(
zDc9p*hF|N$6R=HAwB~)7>SUS%xnGCl?x?52iv8Js-{8fb9bxHkbExj8pYWQ;wva4%
zho2!ox!-@v6}RWW%GYPElKLR%c0p?qT>fR|)iP||tjG2oJ|`W@wGO+t=`g>5|1jS=
zP3jZH@UP}CVYzJna#G*C`)}%a1N>u+bA1EscQZV>34S(SU`7Lf_P8DY0d`!8nIQQk
zEwV#Ba3#N}GCh2Gv&_ICTt3JeMDmsUMg>RU@Z(QEllt#{#~|M<{PrN;tcGh}#Gadn
zcQ0+MXNSYC-nChUZMTiku)<fy46=X22X<XL%L^~}>pa?`kMX>I{&|wW<uu)Q8dz00
zUuQd9`e5r<X1KcSMij|!O77Ul274LNeiek@+-cj(3vV&)l@x#n84|DX!E#DAA!L2#
z-l7DzUGRrev34O?tH_~J2tGeuBrFLJZ*eHw3vci9xUdJN3{hH_BtH4CQ5Nofe(={J
zxG>}DF_ORc2#1;~%;@kp_W*3Oi(Od@o~<eVN%FZ4^t{u9`xMI_{Rcm_`1IBUE?;-}
zb{J;<_=@E?tXw*!t_Od}ea&bI3(dxcYQv_Pd1hAd)}O3nMzEGt;jwe@&(s&92JmEd
zYLY#?XF>j^DZEW3Gwup3P<EZs7+&j09`uBh^j7Roz)Jn8{l0LT&E0&GuloIgpg(*;
zgO-}K&oh2$e35W`zuY~NFPEKhE*g%b$o*~&FZDh-{SaQb(d1<b2k;bRrop^Z3Z1s_
z!Lfq0XK<F`f2Ya!(H*M&S_m)yE-ABzQy#t=dj(hN7HHVO&zXC~U&H(ge92BQHAC0#
z4w&oG7O``%b;7($CmfsZcGCqmllW#o48MAPgpu?w7CV><Mq#Z3&+RY5vo9$!SKyGF
z!v{&cpJm_dFL+8)<1UGdU2Oa)bp-ck&#MLt_~5ad5t6WskF5*oZ)|<l<#PhoJX*p+
zu20oZe;G5FGTf?C0gjXWEOZ$T3jNzD0aJXrId~Dite)*n%G2feZ{0yKE%&-UDX;gP
z!omaKUs}%=NqHW9mUQDGd?w&09WBhUS@u9O93h=qvJrL+*d|s12ZoikuHgRdx6BzS
zh1V)CxX;2_f>wjoa1FO}<#%{-^u16GOfg)<vIK8aoMxGZWAu-dj>B88xSsqDo9~HW
zn1Qt$9E~>^U_9x!$S{d#JX^g_3D>dM$&<K9{F|V?@Sb70{sFlCk7Ju8e4g1whSX=*
z(m&Pc!HpH>x}<*GYIJL>0r@;vXgaAMZRbb+IKtC+6e>u4Tl*zZ<2)S8W5-PDOWuG{
zxe&P0@{=&Be`Q{0-Ux-4IX3u_`Zrq7_{u|AKjWDZiMJo*f0+im#&$g=@c_4);!^m+
z_0wJ?-p73ZZ#itAdE-5a-(8Vhcn5F)HkC%=e>GVYJK#Zms^28;)c0`T1bp(l-dhqM
z{1oQ(1?~y5-8l#s@-Vsng+={C7D!z9Emip%tZ$O6OXBq9etE2hSf8Ag!t)XK=JZ=;
zhgFN7xsmt*F2^Y;m_7A<a2LG#%3Vqp9{=!pi1feSnDhwgz`<uDpON^5?C-96a7RZx
zHTk`Dzy5db41Bv%sE5Sg%-QDKzz0u@OOp7R{*nw&nB#H$8i|+0eE#kQ3;QRSl6a}e
zuF(isN^o>HX%9OiO~s?(D7m5QB(B(gin|2%D`e<tgEKfD+LXczlT?!Ada?W))E|cB
zSsPkO`>V1mf^rac<?D7Q?Kyv1`04_@ekWMH6waUA|7;GXX1xE6^e1)>bY!l<90{gZ
zp2Ehx9#((h<3Wymsc`BBDl-}*{QGwDW+uXh2Kx0>Fx4LQmD{kEc~}h{EZxqf6b#R+
zN_vv~T_bzOec?|nj+dF?BnAr6YjBr9(J;vm(--k_hLd6^23X;FhTqi=u#DM0T}HUO
zT7bbE{#I<M$pMS8FPI#M*-ef*k+@EixSkSRw|>Qr#3f(;iBy0o7q5hp_}LWc5PlM0
zh`2@K1F{?6@xfwkI@a{?W<5<8vOg)`Ez?tMa8?*c(J$D}b+<e%+<fquNiSSJyjzw9
zzP)>Q{0BI^XA9$2IMBuN0NIbkZsR{1CivV&iECuPqyAF&tK{>`^;)fDzZ2mWYj^Vb
zrXQTlDe%T`{UhY>bMKV0z5};T)qW;_e`t99aVXq-cYOl`eE5@K$|cxhtp6X0haXrN
zy#NPiS~-)y$MSoNj1`<cEMw0Jo6LOhJPES|E%C9#*H4b@I11;eG;(i)g+Jxk8o|^u
z!5!Ri_0uvsvL83E>(N$zxU=Af@qe&eA#1>Pcwi*#ml90r+V8s?KJ9L-d=NfH@nF9o
z+_%|kQVKq=VkIR8zZDb^mxQZ!@J$KBC7cpnLh#Aq{xJ!d<JAw&U2raAV&We70^8qL
zys&N_UCcpveZ^ge1D?Ixq%990tq7Q>hhs+$$ee_OCVpvC!0F{*zM8{#rRnF%`2#yo
z>>sg%4OLEflk*3jeHn?jg{@Xyc9Qc41`KLKz2N?7?YR-y`k$SeCmg_YCgBs@=eI{T
z9QMxLZb$Zmzijw!8e87gyfl$#Ap6COa#&49!Kw01CS<?)zcOn{5wO1M$ZxWLJ;fl~
zy(CyOZ8?DKUmsmusGA5cu(9kZfSvDFsXc|o!+4*Q^FA8+kFP$42b|<jrNdhucK^(U
zQ|8Lk$oT*TJ}%kW@N=n;I`Qz=d)8^?a8PGkXEf|8x?)xeXWW?i|M_7Lt_~X1!vp*K
zD9QO@v<(-jUc<i)e&>+$!#4jJq<90raX&wI74C_<Sk?$1nGH`M=bhZ&aX7ylw(f8c
zaE6^Oci48qlck|=Y+!{(nKPeY3AaW1Gq8taEk_T`Udd5v1}}?Wr=NiLG>#~nz?#9-
z^`kJWH`Ny%c<M%J<s97epx%|7CuVu~(4`;n>#DDuO0dxDA^X3u^3SAHIrz<;v)g~e
z;y3EFCE&(|Rkkh07!PiBdM^S$_V8+<g3r~*c=5y8WiK1);IaLq)qF5(nDTWRcwZ!q
z9Xl)`_VO|p{F6HE2O~WF{Gb>Ito-h695vj^JI*T(-#;6Bb{*&C6gOLRiog*MYiU>D
z_RZDJa&V!B!o7J|<ov!HvT){iJEgC1+Hla7!|-HgXZ;xLy|yH-3J+CnaOsE5vXplk
zz=n6Mmp;JNH*$LQV14?S<ah8^>o095;6IBKyPIL!Iinym;$hCVSFm%%J&*r!bl>q*
z{eK+5%cf|M5>X+^&euvt_KvKGBAJnpjHJvWBT2F{vq~B=lcF*+LnI?3krknY-|O@H
z^Z9tc@444K&bgm;-XCY!^nrh33B1v1S<nfl+xSAM5RRE(<@ScBcZ@gW!NZ1LJ)UsZ
z$R3Y$IP*a4`xrR%=-HrqaM|w3E79<Sh$I2Bzfp<oh;tTPC04LR_CI=QAjzEp$1abj
zlKqq_H*>Q+g_lo^@{#?qo_}#`DS$gd_P4si1|JRHSCIJP_LEMqmT}6JGWbiJ!3MH_
zRQT14Znf~oJ(4#q;JDYNeDC41gO^3gepG%#$@`n&UsC5Tk^QW0xQ~3UhsCn8ILLli
z6P@YJ-LRmUca}2Dws$PJ6ZQ}**O7%~%J2CO!*;6ypCsUv%5KpixcJz6KOs0dS!>@S
z+|*^J!3(=phjh=wUt>~dIbhR&yFP9_f%{j4hWAc*2h}hu6|DSfLn{~jt;J*WcGxvD
z!E`sw{!_(-1zu%7Ubr8&Vq!F4hkfOC%#(aE{_+tnxMQ<lhA7N<CuHCNd^G*&82LQv
zmlZq&VEva5;^g6CUZx9&;nX6t9`g5mp{mf9fge<y8zkRPN=&qxB23NB#&ZJR+HKdX
z0!P_i>>%H-MZSEeHe4^lwUg}6<^EcPOAp@BRCmDv_C7|p+Zaair{}h?lg{q~GdSjO
zwKdtFYko&tt`#i#)$SqLpX>AHkH5~sq4t|s$$n|uL-VE_;hGzd70Lcw)h3SvF2I)I
z^D|+v2Wy0%Cwyi{l=ux;ZT8LwFE}$&<W@ACddB0eKP(mXzBvN6D)HYG01Kb6JrD<5
zbe*BO2^-WcI^Kb|J$BU(hktk9eVYhB@-@(ofgjcEqrMNDG~33-!YiDwEz;n~;e)r*
z;Th}3VUoY3t<sqZ)2yA7&4efBs2ZP<xZv696qwnSZ$}aQf&LF0*>7*<D(%(^c!Q~%
zCCT6CBWzv?dtRe?`3Np%nm*nLJBCcilKgZ|j>L~}?6hC(6Ikux%H2<}e$IFo$(Ilp
z9_WIZEPRBE;1iBay<cI2@Ikj{B;Qk&XAn*gcdajjyUh=9eTSWe+c%Tzo7W`u#Uxz7
z@w1{99u5e4@(bQ1pt=4IR&{&7ya4~+^~r?XKb&;(=U3paWWmG+c%W=nZVlG%dO6n)
zJF0X^QyXIadkeipE4(bSFNhY-G>VD%3_HJ?^xgs2Jr`u|fZJZl)$D}zy`MRe``7c=
z`(JayY+siPNWP?;58Xa^@AMVwA^5*ir8QxgoqO#T$-k|grXdDrT=E|#_d{(HdwB);
zQrxU#KYV?y@#ZnulkdXYG1yU|Fh~QAo=T${fop7cHEY3?jT{y~;keWNH7DVeYR_*Z
zzac@7=@fi*a9U;to@ba_bA?YYnoyGc9G}iPX}ZISnoZ^;u6*R6!gcr?+u9(xUw2C6
zg$2Tw3NA|jg0IHi2o8hQwS%twKYt5j%Pm;;&_X-8|4XXYze|AS+BTb!{LT*JEy?he
zS>LCBVUB!phD`X;pX>7^f42CY(L?yyxhbs;_<d15ntA*&Jos%olI+K3R4bkM1g^ht
zHcE~7^Oc=(FX7e*lY^A-I@R-m5|}Bf>e?pw?08J?YxwF?Ni`k3cc9g^23{Nsabtsd
z=!%>g;L>vMB3Afy!}@wN965E&h7Ud?GxoO=juQ~c=7F~bRZ@?^^`ag0XW;mQMH{Bz
zi|H?QEZ|2DuG%wjU*PtvbMPmAi({*>dP@U8$=`5|Gh!XCo#hFzhwYo`0vU}k-+1sN
z4QVgrOSd;|flb1BPCLOS?6tM5@c5};X(XSKDsDR)oI$6t><X(W_|x&hL#*9bN&a>@
zLqmQziSkgVJA5xrT~8ENSDf5Q+AFJ`|AzmAZD}GuT!*Ka7y4ykp#lwhe>ifngI^ww
z3XQi4g_V_?cvRu!486=C*f#5_t2(@=HtFvz_)BV@lOF7GQco@n-mZRigCV>%YGg72
z9>3wUVg|d1#R!x37}GzqnA7mwM((dUuw0;7ge`p1zJco@JTWUx=>`ib^L}cE?XD}Y
zdBKgdHLPSmBCeZfJcHl>3i`(1uq>^HuOECQ()H#tOe<Y*BLXhr+&_63?cHD9U4gOi
zv`UeXC|npc^Dz!C%b5<AhGpB?>XTtcWxrYpxb>eTODfzuTf`|3|NCRTB^%b-C~qwb
zyJQBL=fbRiFO@38;>Qb(3*ppjfBq`M!Cswd&tSV6;S-v0f7{07Qkd@ble=m#vyb5S
za=1a~+oT@68esPAEgbsFQdkGJEiUu^04sfX(`NzSrJC^g2$!Tva+$+&w5AO0@ciW6
zk4|u5VmNgVyhnt3s{>qgo+|k(+*Wz|wKr^|A{##f=Q!1GxC~QlrSqAD8y~9Ekb0H*
z?^G`Rf`^|z(ujb+6e|5=G{)z1vN%oZrN%}kFR{SNE>F`)y;aSv+h6U6ca)ueMCuX7
zMER8P!~ZSiPI16nUQbd8!j{?9D!g#TgyGs@*usqN#(ua}R5?xxj?I*k5Qkr6Jh?3o
zFIRbak@~_X$^`lp;eY0l&C>9#p7?HcSn+4wR!KO-m5o~qW^C`Xmxo#8LpcrLL!X)R
zWnpK-%}$1JCEbCIDzJL1kF7ae6m(Mg7`(xj>X`*hyY7&v2_L-e{@4cYp1#+o2CHUm
zT(*UWiyn#}hhJR1IPVOHv$c5Yz|z~O6kK7GLw!v~@S4<+#8o)Ya=!t|uO7M*a1G8V
z5X?1&nMEf2LSbD$%?XmPbTX{&Cj5`}#4$^_&TzRV8um7K3NnWs{v~a>19vI7^`3>f
zvNvr?fVr20IjrEr%`Z%nV4;KI9;Cm|a)9SV2CQYA@X{7e``DV21#f6g-h2Vh={T0~
z2p)IK(IevpXBo0ZpTfN-^8a0dPZ{qPEP+=n3*~)aUyEBc74XCB1wYC7g!NB~s%m&)
z;ju6opZFP}lu-|V+MFRy#y29Ct5RCw$Nh<(De(U2k)|Hlsn5TSjGvggIMofpJR2@D
zzk;7`yRG~aUhI<oK*rb1{_Itlhnp4m(UJK(r{)1$W)rk$=eg=lF+TW}G1huF9CKum
z!5F5ejV$1R{XTuQCiAJD3m77V^P>wh$@pfpi^6YSc*~`@zhu01if&<65N^#pd(;YE
z*|>C61b*7C7E8uU)wLf>OTrtxwsey5SFLw1f~8@j**Sp=uwRAabp=?IzSxD#_Xgg>
z;~DVG*kyJ<IK2HRi#8nZAYthP-~I2nl`j0RiMfc(C;M{JTNuG2H6MTb!;c%K7f!<K
zmqRn7VT-@NXU@R$okvE={B(pW^U<^LDc&7N<KXT4+oT-f*5!9s@4&~Weg&O}lkcQ_
zBJ<x5y`Eijhwt}lu-=Cks=FI6!S7ykxun6&T1GX2@WxWdS(1P5aln=kxVl$PJrgc@
zwL%jM$5whZq`-8NqK0vBKd0utZ1_@3j#ehDHtC*4j#qnT_})W!+pS|Ox$yI`FWy~n
zzHa|}@_Dr+qXa*}<r{XoM#3*0hq=GO3>_PP-GE0g-RT~HC+B68uED|w{TdeFoE;%&
zykNVbPpnI@Xq$R5iCezjz07Bd_A}LoYtC^0XyGGX_*^mrKN)|28uc^b7<@NaSeT68
zzfkefRe-;xU+yOJ2R^G2vZvsbH+FqwK0-uk+ssKg&E|QC9Q;f&c*q479ahnlfJf6P
z;?BeC>vw*U`H+vrGX7DpfUBA`7aS~C*Kiwt!a5(tN8F$B_5p07v3J{kxax{DQ#$-x
zsKNda{3Q4xeJ*_ON^dU7A4*p+$%l_U3S1}iDKn-82G3w;mncOcnB%whgBS4L@BhV<
z&!cj(JfR%!+H>^tVR)M#g?JULz7iaw41d{wN%#XCmKgd$5zc0-uWf+;lr(sd`H;<2
z@-=O6b=8L=GJn!EWURCRFUt<qHo_Np%GIXe#PNmDX4oRy!D<!O&!Zcq!+MtV`qFcY
zaQmUXS)1T9YzreBPvZZbYQ;zbe$x7MkPgmP>yJAO?`@6|+63=#aQR7|4|6(voPRs)
z%BdqH4WE4a-(?o~ZCFo`BE0Lz6PNw4`<ZZRS@?*5QaKMCOt-^=)R)XTak5wd{>=A1
zndHB+KdLVZKeAcYG=Lkg{nM6$4@|xb*MqCq=kLqF!&kM3$n#|-?~3j!!Vi3y_Zz`+
zg-?W4;nJHNE$85UrS6Ax;OL+ITh78v+@4-~@R)<OofGW&S;oT{UQ^`Cv4@vy6yKP_
z`)JcvU17-sG_Ov>9)@P}F7Syv+vu&~b2gvvdcrp8-Bb?nJa=TLJIo&S-M|Tcc$Go$
z3Ovp3q3I1ju(vND`O944_k7{ewIND>_=-4l)J=GAyKsm%{8>-zOE~;1JNpZH9*tw%
zuCf9?K=C@2y#JQX2@J1c>u#Y%a=hWJs?~N_erHJui5Fj9(dvYA_i!^^hHH82W#(W-
zjlWyS^Y!t60)I}!{qA?l$oG-W*E9SN4&y$5gw*G>EsehS7mj&FHA22m&TT!BbY>X;
zxY2fwtl#=_Izo{K7LImiBI~zQzST*wz&|euMU(oV3{&0{+u#oq_0r^dd$FY4Aujm9
zq<@(>yv4@&?jHDj3x|yW9P#dZG!Oio!z1$`Of?v*v>)DKvrTs|JWx^~BMNuKzx=ox
z4!UjfQwUDcG4>+sw?=6CzyAlb{g+v?1r`zyO*{<KYAail^;^ULg~uquDn(sG8)0Wo
z5fynjNyhuuA6yUb^ByUv!j=`4jpTXIwXx&Bl;DnxGoI7%%kA<%^x+D{Z@<T3RmOoN
zJvjDWNa`S*Tc96r3>QDI9{38+t;}i~!UaxtVV&><`)O5kxSTn?z8#*aTwOAS8--Lo
z8sK0{yZO`bTbrvdYGHLl>TC;mW?-LX6`Y#WnCt|bj)i?KgL}>Gk2}Dlts*y`!KS@?
z)h@$6zi!b!hIeU~EqlNhwZ)&2`+xOs+nE4Z@n(?N0}|(1Nxuds9vA#V?&sI|#G{ko
zaEhES;V|R(s$&W8q`qNDAiRk&O8g0YswPs^7e2VaGWH1ej5s>u2H$woRy7P)PpHkD
zf?dMTFpj}<ucKAT{o9QrhHeTjJ9a&U%(vdR<2IRrRnOFZafG#&Lv&W*bInPoNPhiE
zuEceC=HTEn@_X>r<=SmVbF?o5v&8J-7b9H#Ti_nHu^X=N>citbtgzwA+gg&(k+N`r
z4d(9K$mt31i8S292S1=INFn+0iR(`Mu<3z`dGdSol+nUk3g(mx@o<NO#I_X5z$Nij
z_2lnO<a2ze4maM{(j>>LwdS7JgpY~_re1|BdwqYH!b$9_oMb(jvcOR(bGUy-%=0?D
zejrB30gim1yg-ikHPY;g6CB^wtQ7?RIN$Dk4X!O|qrU=kUdt*EfI0rGpCR$zLJ~PC
zu(XlSX>$DYLCn8XVcoKfB69qK;pm|XxMF7DIr)5gSA0cY!&khi=t+BI6YHk!<8bt@
zxezknOuw@A-6;H{w_Sv^hYTCIs(!-lt}3qoZ%<M3x=p~kckwkMK5|0Dc@9o3jyp-(
zYg4b30!ds^Th>G#o;jm@mBi^;^5bOTa5bw~5>IH=i6y_6FXT+4NW4d(qMiJ{KAyPn
zi@e|W?kfkjz`c#9r{>|EL*ura;axv(Qcl6iKX2H~qrI58&vlK&m6I1TW?}aG-w%z!
z+|+yzNc(eoWUJ@^e1oCrG+BR>sU-ZZ53aP0qAP>Dj-3472|pZQttab!?(FhS=z#wP
z&A7jS553BI&;*}#_Yf!Ze}Ap#DeB-K8GCO$grBJGqk9XV{_{Yc%>QkE>*xFmwzgMK
ziif|A6}Y{Gr+BdiH0*O!_vRBgC+9!20GL-MI5GzwdYjD_48IXwoy&kFO;lVw;P?wt
zOG$9-=chuK;d5tv@)F=z_pWxkz~vf6Pwv1^BS+&e!VYDBt!~4NaZitt{(+*Nq+J+!
z{RS2a(*AFh57>1B7Bcwyi1aTGU8~%49aa}R>P-3%w`VrDUWM5kDOpMX<jNP#&dYEM
z*Xgb^aA{-8jZ5%13ZCnve-pEH=N&uPhqY+~$v0tjS2+heNk-?B{*I0-Ry)Ibzx$j>
z{+)BKPfo%pZ}^(@w|du}yfA=osO0#Q{@75h-!5I)C!eRC^#1}gtM;hDBQo}PNdGR%
zg+W3A<`hkeCjCjdy@p4m;Sl!j|JTd+Iwzkh4&Tew%w$3Q#>wz3LD=NqHJhFA5A%($
zcwzg3Osh5YXEz@(e9H+-S$6E*h<J+Sk{mOfkzwH0jX0lxk@9AE<2`S&UeX_y_ROV)
z-NL(r>){*fodp|Ujj?5wCb*rClKCI*Pu;r=?^nPQ-gdiw!vbF~oO}&8_fa(df{P~D
zD2m~g&vvboa09nkbtz1LD_`O}Y{eI}gX}j^P`6EX5MHml+nEpVW-Xig3U9BHy_NyT
ztnZ!gg1tI56duB!O-&C!k$jfv@npEpTH?`1SS)QZm+V);`DE0x5f<Q2JP{8cpV6~<
z2lMkk*q#WpR#385!zn8YuVUbXxi0J#u){?Kzq_#I{DJ0D*dk(pmy8#jjEL!Y1}}K_
zjz+<YCdWeyVf!!M(V_6yr1D$2aEpxV@i2I3)K5MeemB19&vm%8Yg{=M-uP;@Gzi|C
zR=Ai9`xM<jdj<Y^l;d9<9QH3{zd!sk<olCYI8vUg$rJW%HY$pMJyvKV$au$tdp!2x
z@LFi9#6|ertvk*^aCvFaZ+DoUO0L}>&MAGOaTfMJ@}%1fW;2YWvxPh8RAw*27oVw8
zlku1w){5Vb@TJ^6@5y+LHcikeTbQOzZWkFJ>NZ}rBEQcqqFX<c@t=~nW6b3DIa=mH
z02yC0s<dV!zyC*=oR5+5Bd)6o*GPMzh%Wf<A=tmXGFTH9RMRmMf~}dJOR2*@q`Fqg
zd~g4fs2pjZ=u9M3^1%xY{Iha!0q=f$E;!aI@3$nprZaS4KivI1JD0R~Xxi;t+2G`b
z15ZeMNcqD4+Z-_ChlADv@Z!-N85Y>B^q@0oZy614DI@vC55&0G;q;#|XSczc3;80X
zJ+~<&CY{8M*W2PY!to}N3v@6Amq8L~4`$Q}7j1$CR)RM!!h$`#v?~~oYqg-Ioq_ii
zz5TEXuhMI{Ou#QFi`b^%<bsdx!*Hs)R?iIl$7`N<2xdC>Ht;(<R_i0s3omjQDv|kU
zgKb&;-SB~+x=Au0eV0*Sq!ng-X8dRbX6Q1DZ-yDH>y7&09RH!@T6mW71j_)-^MOVG
zJzTU}Q`rUYVNWq8?d8NB8du4DcE->rx>vA>S?K{XpS||YlIbP9drWGq0}ecx`1Uz`
z)gwE)5mxQuu6+bMd+s|<#w+U*&-v!T89GtR@8P9|>1!EqQVmsU9ehdpKk+m;cf{5D
z4Sdl;L;en&Bd0$|@>7cL&PBublS{+M{J6V6=MriEr~B{MB>8uZUGqcXi+o|fO5hD<
zfiFq_;jW3k8_920>2<ga8_5;zCi}&^`rBM^CHdjodP%;}kE(qx@XiX4ph8%`sZH<<
z?DS?I1<5bfmKd~vH;V*3BKz5^{jMA({U6ouZB8UVex5hM5bjD9VIkwUuZktJNPp_o
zm3MbY{>%D@rpoXiH?E^uu<@{v<xyBW&SoVW7WYiwdITQq#1AX%DSL=j99F&X&n6v~
z(8;JL{k!&MLq;-wyst{2g&)?ViEc`QU+d)t^1)rbBc8Fa=>@D)ft@VbCGHVllAK|O
z^=GSZguo76H4CJ_$=x@vb`!4F(at6P(cnbY*=umbsh$GTU-ejVD-48-^=+-`;eN{M
zlfJO*<^?+nc%tXW&a1G<SJr0IKQ8zb;^Yj=e97$~{bL%ITz)bh|EE~t2I*g0(=4>x
z!41~!5u|_pwS3zhM_BKbi{d1#xpYd_8lGU@s5Sym?DhO>0}D*0{TYHCb1E}W!Lf7y
zt@px*)!NUVh6BT|*>%A(a%W!Z!l7-f&MmN&>V-@CFn`Qju8;8a%jbJEVA>EfUNSx)
zFJ9TF1zXh6_0+&Wrq)B0VAgZ#{jXq$L26Z1c=tZzJ7l~;bX0ActS@+ZVLG0SM-1v{
z6ez%F^Ru<dctw5E4HGGNEKAXVjA!I|2k$rnA3d{5MaDZyw^hFugY#+bGm!C+Mw{}h
z|G}9GX0OS3$-3I&0YP}<-G!QXSdD37l&n`s(k}OkgR^CMq7T5+Iwn`i_zRCWvmQTu
zAZV{x1pI79ducE1E><ZS0^6la7IVX@W49&(;r%u)XV~G$WBjvMVCHZ`PEL5~(!Wd}
zc;mgBwPbyR^3}vVcUb7KQ|K;OQN-QyB7FR2ipW;@?#NafN4PY>cX~VQD%{v`4z?Ek
zsz?DR9&l;3gikywTBm|NULOx8<4t{&!@2)3U-iW1SC|pJwXfKotdH31Q$2Saj#uAS
zJ`KxTJ1l9y=IQ<3WPL<yzwskA*sO_uKbdc%zx3}Z8P9S`Y9E}0cU_!5CkGd9{TD{&
z2VI}XIZ48_#%O}T2X6<ri@`e&ZAl{QB`)p|`Fsf8_W7e3nSb22BoJ{B9+sM?AoH1l
z{M|A8V8K%bZ^?XTOxR~tE?Aqo&56v1iaG{s?}A5CLix#j=^LgyFPPysef3vf!4_i2
z$~MFF13pK{dW+7>x-JZGy+^`uF`Tcq>P`vUPpV{)`PyIxCcceuV8dB$GM^iJ<F(*l
zjQ4q#&@+(v-iG>)K{Ea~HOTvd%m?pY2p*e-k0{r<k@@0BMGq3E;q4{gc4x!KBJ|U~
z!(~y|dvf8pUr}_!Fu(OP0W#mM#Hhm52j9uioFMbtYtJ33dtmX6R<U>Bf4-b`?eM>n
zc>^+^PMNCi*9ucu)2)#Cc4L;cfO=RkGQNz=$3H9<kgSE%ujij7^YzDjzRA9Uh4)MB
z3x}sEG_xw;`FRr$GT;Bsfik}cHeLTB<_9y(%AS4>KmIz=OV$f0Q7+j$g1t_kPax|F
z-qZcJD-Tw^;jMH5wyB@llL7l&UD)6TbLxt<r@~dU>v?2-0)NF+_kH-Zg_py5*fHmd
z;$3)5D7@SpetuF`EfRL3{O4^6i@v?_HynO$O}XC~p5@Zm5DaHOzBp(K-|L)oxCSd2
zT{)}{r+F1#@P-f256_bIBocqmbbG*`=f;&};D~_(U!CFdt=b!p!n<RGW1Qf$zuNiY
z@FK5HybZh@mFFM{-*Vf&fsA)g>*kb`^(3#=zfzO&a1EVx?}M;+9S64oeE;LT#}>HD
zYwDmD9CS$a@OIc&=1_nH{KDn;{#sZ3UaD-pAq*Fe$PCrP^+WGhx5H8AT$^lRC;EEI
z&2U>sX1D|Fdx+MB7Or`Axz7~#jAQiJ0Gr=>m}m}<1f1+!!F)thzQ<2Z_=xD)Zwqkg
zbaK89ymJ?0{4ZE+A;3@t-gjwd$|T%UkiAVE&g}VM@B`kk7FI3~)2&Rnet=gOXx+%`
zY4U_C>R^|z{B=ffXTqV{a+s=LRfW92I@S5@l`y}!W71i;XHbtP7xvrZ*Xaa5lVa_8
z2%pb3_9yXx<V^z)V980tqvY?UaO;juhUZ@kj9S3OK_3(1U}qoR%ro#{XNq1dyb`~n
zP5%C?_wE`+z=!H)>B;+R**VgO!%<@IpBuoRK3Q!Eg5A1bUL>D4%yfs3KTL7YyjmIl
zNWb-(7i^xbdR+~E^lC=j6OLTj!B77FF^)-@3vg<{zcEGFQnzLLJp625W3)6Jd#Z8a
z9DH?8fvzl^LSK}37IvfaT|5l8zkgbI3jXV3S|kB~q>5xSg+IzpQS-trRFPczaL>;7
zHGFVc-1SeoaMg6AGZ*|`IiOb!j#RWhv>%o@;S;R_o1Z<{!3H0H;u|Li&+sqZ=74_`
zc&<ysx6A^*ZGwk%eW}U(<%?TdX-qJc!qsvSI5dG#lLlsv419ACzI?2mh8}*p66SdT
zmQ9Q;+yM72MPK29mr4v>DB-E$B+)%^$th;ml?!NJL}f^_!iqD^9jkEV((_4Xc=2n5
z-)~q<zkF^peEhrek!5(lR7*AkOuKKx@C^J$uKO`1ES&Z{?HA0IF>AdMMp<>u33$@v
zkNscF?+&oB(@w$9q<8LFh7*2t6pp}!Nqf2HU^}C$F5lrVf0aH@!v|ddV;z8*H|zF)
zhwF~_bPU01;~uf2aLmgnzaE$+*FT{jX51`tqz|UJDs`a~_WSgwuN=0r+waf^2jyFG
zmBO{kWj9EC*Q6U;Dr^{>7(n9QHl3%E;RQF!pWU$jnq<K(I5_p|C^`O5#)O%h@aI$8
zlSqE?cg_3PVX@8QcZXs3puFCzu-0x4tsyx0wRw;yd_i|gc^tMID|zn@KU*+<Lh=<n
zcket4FR|>+oq*5%ciHR=%>Bg3lH~K><fAZ!RSb5U&cL1>*Hw(*r%b_bNq$l6aGWx{
zDOIV0e1B?}Wj`yz^es<#r{I$hQ}{*Ud>uQk1z418;k*zmJ@YAy9FM8exRL`FHV+9}
zgvFcl*V$lg*TpGvyuRK|2K4a5+SKple5nVWiKT({k29Yj$9uk3HS*g9<6UttwO3##
z`R#o3uyM3NF*#oBL3i(Oa9Z_;!c{nay}En=wi8j<{Rj3wxqovDtf=3?yaE3&%^%$K
zn&3Mkdj8~iXQEnDD`0B*FJ2UgQ{LtLRtk?qpZrFSr_$gjo(pe`=>I~6xRiap=R??8
z|Fjx89@l2R+Pkpgk*^B0u&tsy{T=u}w=?<Vcyop=<^gcCMt3GX9L>d+;tvnz?J^_z
zu`g>?FT=%D5hs}7i;P=tdce#lwp5b*MFZ!av+(=GE5%!3kz>!<t>CRUD$kSrf*GrK
zrZ9scuk8*JKc7Wo3~R>N?IzdPXJ5lY9r(^*J@aljC-Cl^CTudU<4^Kk%6}=zzzMv0
zUL5d!v%?{h@ItEax1I3FdUO{rtk@Xzg%iFg*}RJzP6|7*LgKYupSLr>M>we|w!you
z#kX#Tz0*^i$@P3LaC+ZAXZ$|-7<y2{KjLx**5J*LA8P!=_nYCP8Tb_*o3lCo8#ev+
zS78ulN#9dG3%69O#<aj1hX&sKfa~wg>9xb}(;f<t>$9j#D(x+7?BaBoTtBPJUoGFk
z3A;MJe}NxtxJL7eygv5+^e0%Vc<;N{@KQN-7Fl1iLifhG82&KanBNFv59~u_@Yfr1
zR`qa8```AbaK~vX`)ZilGxqiiSpS+Y#~XO}X%U%6up5;UcNzTfa?N4^iKoB%Tnvxq
zTc$pQ(>?_cko7aQGE)}0aQ_r#Tmk%FSqOC+Y~9k7MAqLpzusDt0cQ?%(qzCbd2%dw
z;0zUKmb<XUX4U9;_(%J4eGF{t@>wbx=BcV_4Tqm}8vl-gU)39h-h}4^zNdu23g__T
zCw$+^>Qn^DpM0rw4c>KfmNFQwiqp||gYAPl{Yk#O@DFNNSgGPHUjY0nPi40`%*LB?
zhQ!qk(#~1HGmOk7<o)(6a=VlDQPZlOV&wDvH1m6<55G**2}^|~r046EVDBjkD)N2E
zp44C=>#f9|TscL)uV~Y?-SV(*R{JjUee>3zuvLUPK4@Poh4+oWa6b&c)1I5Cgum>d
zuKW)U?m4gY0rr=8S|bE+ax7o3gR6=*Fp>3O-%KS;+hA1|9rpdO#@2?mF8JQ@1X~`M
z`Metc0PGnp<Gcr+jg1%^f)zMIi@D&B$LZxKV1ZW^HQV5pBax*u@GKQI6APSqcGK2n
zn5kcgod%|J2nt_?-+c41rGwj7D85nSdZ7Lt?fw_*;iA}GEjGdTUbesb2kWrUzF>ym
z>Yb|j4OcAfb7O^HTBR^9!*@?+)^WnjFEV#ez|r|@N<47u^>62X!scE9iGuK&jMe#3
zc;IKgsR+z!_Tc4r`2B9-LMgZ;Zs)5(See7v`3THSV@xv)t3LW%qXZkI9%Ux$|K!v;
z<uzcJ#><x7u#{3}oIX6yH)_)gKkj>b!VrE*Z@&Bq=A3NYcn(%9IY3<t7c^7&Il>a%
zr;pde6jL`l+~BX3RmRn@j6mA$OK_5S_@+1TCJHtgXE=w8nm3E&_v#6G!NMJ1deh;W
zFV&qF;O3^usR)?cp=L9QyB%!G42R28#b1*6{C(d1Ao%Tj0eA9#(rye^0dS8-;%@SJ
zl5U@~^MyG^BfHPTlKW)ZJ>kU9b_Y+viXrztUx0N7jYciu`AZt|=CJ$H-`4GLsYHc}
zAuPw$7r6rt()z?f)}IOu*orLRd>dXl&aDhHSStKngiB-RIz(a5;zJ@uF#oM<z5MW#
zGs~0YenY45MvWI9yq1478|J-Ypi9=zHr{prL+%ghDqfTva8XiyI=MfX{+F<o3HA`z
zWhePBw|w}p2{yfwUXubl-X85(#d_YI6g%WH;k>JC;bgt<O1Rx<BJ3S489xPAZD=@6
zj(0!GO_!`6&TrU7dml~}i!dkak1vQgUnj>)S8Cq+1$I1AdN2-NxjeRqtY;RET1h9z
z`<fu~sR35*Rna2%r|dJTL$6@EJ>E6s`agd+F1{R=%YS{I+@B1@_da+5CsLd^Nb;3N
zE*X*a*0EpiwUYY@XJVK&S&uFI_o*hypSBp?N!Dvyv&_$h!ZRMOoQd%BUY{o<U-h%t
ztvLAazdvi<u<n0VF;Va#kt-Ef;C#!dwJ^9hZgJCjxN41)ItZQ@cdv7SODQ5MuEPfX
z1s82$Uc)`rKJdsd9w7(#o(zQuS+D+5;{H`rcz4S^39_DDx|sfmIUMnf>F0U)iQchq
z2JofD%wOl=BGo4kjNlogy?JDPJnf+oH62(^v$*gS938Jic^t0dma-%3>uYMSKT?Bz
zYd<=lfZHC8*lWT~=Dj_-u;X8iQfc_9@})sF_=;A}C0W?}-}*hWzW<v;H-|Xfem5~i
z4)zlf>ydzC>kk>p!Yv7B0)$|PZ6D14gBQDs<V0c4YV&R6c>?jsp;10Krr|ax51iw9
z?KH`sj}YwK2b;U((eT3eb!)%uh9B+vRZa4L-m<^53qE17`#cxCH#9kw0p{43I?Mxe
zb}5_C!7ADBZgIeOP17&_#Pbvvwx{`#*Vm31@lC+u@80l`*H3#MKl=z?y8HR96v-Fj
zV9SF|6=obo;LR`i4kW>!hN-^&2YdUi^xcO?TXuyD!v9vT50mFt#Lf1ok$i(=W{Kqa
z6{{GL=>zcNivwvlVf7f1e13S%?cjtjT>k22;?jA{SIWPd^?*;U`<wiQ9TH<tyTW6p
zaoIoMl*fl`9pH~Np=W=>D~(JYHt@@=_~&2XY3{rp3wWw3@IpUqaw)D?2Y#fQMUw@W
zQ~u~MgkQP8(MpG_g;oo-U?cJRiEFUzb(K5=IGbTi_$pk|WVBNkE(jg>cZP=<<F*>X
zIrEe?j_|<`IsV7V>-(vh&0v<rK`#?{X^_j*1m@noI7*JEab#bPD%>x9aNs0-uU%$R
z2`;Wv&?UzUOgtic7}o1@Qac6v)EQh8fsaMC+$QhO<g4Yn>V)wOilTTm*o8?*U<2a!
zsGIdvVBsqVJC+b{;D2E(2Rnq)ME`|_bK5q{l6-{?Qomq5zY=EhJXGM@o?i<v_2u3M
zF}UtSTjEdH|Ng_z+;FRm_jZzhD6=JcAG|NXrThmRIahRVH@w6B$Yqir;x(*Gp4Td%
z7Ump*$2{wew!wiei#=nopx3`mTj2A$;{pA!$#gB-MtJd-^Pgcjd;>+>8lE3pE;yC`
z1-`qvv7bDD7Sz|WYX~kC*?f;Yf0n2C>dj|(MB_z1dA@C@=*Rg%ICuM+HF>^GqUmK4
ziBBIHaA<`oSx%dh<IP_a-rEd^{!>|RhgG#_h2Fq)D>pBbe3^8$(MtFOuM1}@tgFKJ
zlRU3?rH`(c<ooRi%q)Ua4JQK{;A#h(`~p}pAW-fj%=fa|`VriwVl(;<&h83!O@S%5
zgjkULCGp7vNpL@l4OKO4Hhn`j6n^KjEJ@-<zm|Rl!R?RQ``^M-7Pn|!;SpEWZ6uyV
zOI_s*ON_CXk$Co|bG`bo2w!J*6a4wtj~G4pRb#dudH)l;TgrLh;OLLfKfw)-cJBM(
zV|w?^Nq(EOxDPu_-!ZnM1-5_TJWigsHC6PseGNC(9i1W1<I)~}yO+G*$b5e`dHywd
z@J3xJ++J2#Km#jjHU(9{h8B6B*75vtqdeP{4A_6|+LvY6iosO!A$+M~Kx+Zk((Vnp
z3)5$n8BD>wLEDeT!{W0S=qE{>qkTLIwh7bRIs*4KQfI}$_w_03hT!?9HQHgYLt=k(
zFC5nWizWij?n@5+4C~StJ_&+ZyS*dZ;EC)W$56OYa>Hs9eC4lhnI~M~H9+|R-cRju
z$s6X6%dMz^7Y_(<T!cS_-mHEF=jLj6yTc+}Ccfpc&`yeLPVm*Yk^wK^pIbPOxWMNX
ztfFJ#^gZuvmmSgnb3S!55&lzHoc|l9?fFy^1W(YKNM*p$A@i^O;N0zIzp~&{+vYF(
z!iLkU3CVEIh3)<x@bQcPj8fs_Rvgn8;J-VSvZCOfR0_ZC;ZwA-XJX(<N6i9T*t+8j
zO&A>b+PUa7OnIdB?Jbz=Tm+9f>{iXV?FuZj{#?KizJBjt<5f7)2J6RQCOZjs7g$)8
zK2sfz&Ef2Fg^!K!oKl5jXv?nJ!*4DhKPwMgze$mHf-|FH+GXIui_JI8;1~8)J%?eT
z_yQ#h*ne;|MihSjU3tO~_H<%N;D>cWI3Jq8`4Z0byzl_4`hqGfNAqASCrq`Uqfi5`
zh^7c&gNOertVzL>*-|&R!*L#4%8tN^)49uxaAT}6-68mb&d@py%<Q{dEeQXy;3}np
zuTz9N@xb-xPgbp>-T;r4HZLFicrnpy1rC$wZsLUfi$D1<z_%Fg-`EGgtYDY=1<wlZ
z7h!`V1Wn{8VMCw(AM7y8<MhRG_~p1=3^P3cv2S$<_Ik{z!wNUl3KkE*UmYIKGs5MG
z4wau_ima1Qw!%G3m7ZO&bHP_*I#~Vif5CNdYOGWv$+s+yKKcQ+7%X$AhPS4;ndQU6
zu?m*t^<fr0+j8N)EtOQ{^&9r8>`jDy`^J69>%C^4e~yP^l5O^p*H2~YOb5bu{?Zzd
zI2YUd?CY@eg8woVd_Y6_`!Sey?qTR2_*2viVHNnVuJiyeylukGelz^yE#-4r*zg4F
zUIzH{PDe9wxKZRFAE|dC_4XOFBz$sv+rS1m`P_~QA>#Dmu|KGnVI5-TDGKwi-A-MC
zH(jpaI0(O#&&r;KrI=Q_$oZ6Nqu)j9Ype{G^X`Ua&GvGQ!fRs-0~|2VEd#+$_=kkI
z$2SL@4-IeeW_XKlj?gIVzOBo$7LGXhgu4l@ctl}K>UnUrb$xAyJtU56l)%z?d{+wK
zX{F%fPvQ5EH6)(GW$J9cd2o=DtUx>*ao8vz1CGx(9!-D`uWfvs1lNlxe7O#v`JnXT
zF6^~-A}$DKzEv-N9lmzw+hu9^<O?oYADH{r4^df|T1=DD9=@=3#cA0d;}zV`8LZ%D
z`9+=;crNaf-ziw?mz&1~{JKRk*a#krvKN|yBUW7(kHhS@`mglCBmM)c8ZgJbW{Cm#
zY{0)_HCT+1?rRs^LHXsqH2gO9i$2NE+p+F139spGU+#dLSTBT<dM%L+zn_tOg^YU&
zLa=GaA+u)KiRY3Y7tA0#+C=ijt1@Z#z_d4aUTTC@6t{0-g@rCn3z7UxBegnaxQdCZ
z^F7?!wZEGhPBVR@LGpwCTHdCFFH26(RKpwCq*H&Ro(z@SHJdt^PRIA;JiPC2KEoS$
zj^>2@C~WaYz@HpXS2JnvFx<>%#9IlEj?o<KgJmx>4OGER8Ad}ruz`R?XbEh3T41&j
z{ve(5=M{XL|9W0M$v^xytq2ZRpL|N{<*3eGFemw%5h_k^U`OegjfL<ljom)a;oW?L
zmq>nNvhU%iaQ^dk_Q$Y}?5Ip0Z1OFw^9kHbr!}7qCs(}o%ZA%fcJvO+FA<(c;@7Je
zs!2VdY|Siv5}!1#X(RQ5To`L=9>G)H(zmX`7wvkTGT|sX>O?nqg#E|YTzD`cz|a+T
zFIx>xgR|Vfn>)bQoBZWT{`sp8EOu~rNz7;>e3`C={R~{9#FUx>7ep9!l6pwpSGd&T
zV5)|SK2k3!+&_Lj9`4O;J8l3w4!_jB0iPB=YN`dlH9ANe4zt#tZcv4_DV2<U;JzI*
z)jIHrthS`fa8CMlKa#I?qhIL)yv=K~Cplj9^YdZn;V?$gagsk29nx(MH*^#Y8p08J
z+c;0czWr*6B>%ex=lkQZi$Lw2lW<2&&L&;BsA`hhh`c`Kt=UmHZuQ)nIV|I=nI;2^
z-B>Ci`7^gn)WzUdZRe-t?~nTRB~ln({u;x53RV+Z{IUm5iCt$u3!C!!?q`RKO<!w}
zxJ^##P6}d&{l`e0S)Tj!x*f(toF-gI+<RQra12)NR<R@TTK4*cVd9;vu_W$4J08^l
zYYy1mBJuNY&Ue<rtd_@0N!+38X2TP>;rh*|Bt9XqY1?C1aM6l^oR1xmGAlkXhY|mF
zJ@~_qr$v5nZ<C|~sfWe8<5ivwEJa7HPU>Y9bPL+p!EOs~<+AXD3E^kPaE_O9^?&d|
zjzp)EurNoZged&kJHAvMR{9<z#}C`FVf7UJPkGlfQqQZe>UWh4{L5svl+^q3YccjY
z3cE9Mrjhz!6q{vtu*0fZviI5HyuAabcEM-=qd&n0o3?jTY=wPJ?AO{0tGM}SGQujN
zGnAb0TA=$Z75wfp-_OIaOQ7nzf3|3UcuhYfpHH9W*!cz6Id#tkYxrE!7PBFE)%g=2
zIiC$Lw{7Twr()i1xdi{)7TD1WM+AD-lj|k*L8xyX>}hOKMy@Bp24~tDIB|{M<0?E?
z<^H4`b~({(POi`Bv7&(Ia5Lv+mfOU7l?U_T!U_ed2k_*h;FnqOOU04OBzW7^D2rrx
zm^ZzET>ospG=JQKlWmmjb6_h$<J(cNmspZo4eX<xofibVuZnMY3m@3{QvV7ZL7nuy
z6TYc*o7)2x_$`#)0sA?nH#osrXUc95!OkK)rnaysou<|R$$ulcW&x`k(kqR@TGJjX
z=J1iBiVGyJ`XOKD7#tDiZb#zZZhyZf4;KX8?;*$Y9c5@1g43zL5B0(cbWJxz;j)pJ
zOrPMSrDeaJ@JA(vogd-u>n|jC!++d#!|ULz9ZkXX@V1=~?~uQTizz^UGi<cFKwSw-
z{=6Hpat{BGKaMjM!+#A`)Yjl<p^pQe!H!o9?@qxzWenl@u+NEA-C5Yw{k3u~d~tx{
z_jlOcbdOFt{9QQr$pp-r99@+Ro5&Xa>w(ql=4#_$zQ20KeXy<3(|}kw6Gde{!FLZc
zheyEQo=&oM!<L*$t2f{a858F|z`4pBX#(Ian%6n&VeQO@DpJpFf5p}JZ{QSPu{u)k
zO}v-sS`Dnr*dprzZ+J%i@i|;CAfw_8`zgePzJyy(Gp;$p(plj`1+ayPH;oO<_h{Sq
zLO8Tn|BV&=(ULwY2j;VURc8iEe7&Wf4_AhIA0^lSVF|Ce1o*E0cNKE|@8DU`ONN)5
z8`enuyG!-of5*bpT1RNf{kTiis_-7{bZq}yC3r8-36m%|$n{P=xgTtx`miMijuml{
zlY-BGeQ0?dp353kCD&V<Aj{4mczJhSnE*_oKXc9<e$XvnP3{LvOeZ-#Va|V2e)~y0
zQTe?y{M)H8m|XvUZ8`p~@aNFS%dGIFUf-tEFohi7#;tHzKu?G@oWLaJxe2!Ul+&RP
z@7`Q^l?vW9xgpXJ){1>Uw~qRSy*C<qm0+IFYJW+6!^2FRcU9qb7N-jf@c6>Fq5t5`
z>C=~|;F$^0Bq^9P7M0524EDM418{|1_B^SlcrrjHgCC}?uPGRSkHqfO+z0>C(<%N8
zN4cG%;DOgiV-9_SFWzL<XNFB)>=FM6`*#`8v%*`)Ri_$=zX&{Kgsbh_f7if58McmF
z;p;n2^Hjn%X+JHOZ1DbWvx3F&+DERPf8icJi}Yu(a!viYA8=ITTwXr>#A<2JPuNe=
zi8CAKPfI@k1uob}$(IT{6};o=hYgS2OiCniDO>lCFy$qltXNpJ=!QTmtfEo8D;ie6
z$?a1G`&Jw8y9uj#Dju$eWwjULg5U?S-PfMMe>TTI@Plv8PD>ZTYUPtBec`h{r2~)P
zK;dX>518h7<NYV_dBbsbQV*2nK&(PGEa)4-;{>~3N?*=}3t1=n?cve{`_weJbWCj4
z40g-&+D7t6qwnRL!a^*vr77^Kkt^?%;JQAE;fJu6$b`QlEEoJcjKm9l`EMVF|6c1~
z$$&N6A83iff1Hyt5@8z|c|(5KI4kTF$&a8bW#oe&45(1V!3O(JvhIZ|qlGKtVOqzo
z);+Kh+qiW!>?`5b!wO3)ecXKqo{|U&{Du0lA0k#lHp5%obZ<?<{EwUDx4?3Naup-+
z^NTHq7tdlmFmcm6QopufDPeLM4jnxw(*tYOPD+o%M^q)1+Tp0zPv<7!E6T|wA7PfB
zRry}{@5IG7q+V_gR%Z0Ul*z*q)$qP-YSkv#=vIY%1<c@Iwb~4`>-hdDg<t1eXMKQ=
zO`o864kxUzTGqqLieJ16;B^ht{8CuuP|5XdSeAj-rUGsd)>%x4A7>~%&4+WX1lAK_
ztxrE43SegKm9qQr&BU8q9>Sd>U#er^1FFJxIq>YK5a~#`=)LuhcsOCB<FQcq&EUr7
z1bF`B-jV>=^RXy<7##MI23zOh{vp-aaSK)*`tIuu564^i2Ek2qEhzhd-~Z&r!=bR@
zhU7oa@Ok|`*FE7@*H8*O*z<jXv^RXm(7n<Ij$l(5aD_Krw)|iLr_naXyTf&@x&fpf
zv|7Hoyc2vZTPB>;i$1^Y+oChP<Rz?1>P_cRTueC!du?FXBlW1ezx^_{hf6)Syd(9i
zW6BsZO<*OJ^(Imu+l1lfDKofkbnOPIkKHq~jlux7a-6v>0Y51VFE@nw{r=F1!JB*%
zX_etN^{Fj~V80iPZ&cxf$F?8ihR>;`yby#3e{9m?fH(f2cNT$1Ryy~S`s8E0Old!@
z(f)DzCO`>?(YT(Rfy=Qtg49QMOaG?b1#4*9+x><wOdO@^f%nK)_szl$nj!{u@cXvz
z(I4<#%3%6NxcCJ_`gb@?Xr-_kzWsM^{vffHw!?e)d}PetKA1L7;$;zR$MJ~26aK1m
z-K7N9`Zzw)4m+QpXD)<8wopzt!q;xfG(Cg;9$MXd13PSY+I$nP^p%OMg%5G@8->8P
zJp(n~!+{$2|N6oDpG*{*VD$kbC103L^~Xz+zga^(+7b4@U;Mb4yxwiP%MMmZz28sb
z-TxhF(1n9eSagzj!Scd3ZI~7nh8p0V6RoF@z&plYD7C?Qis9K(aA#h|B@*w^Z%^Qa
z=bjm#C-D!*ZVj=+-vUiqYT)1Rw$%Nw!vC}2@_UjW<Jh?6JG^N_!O;)!HTqPGF4*PT
zR<$Zv#b}772lkAU@Gga;N?GaNz`k=20!V#*e&-W!s$tc!i_4GU4JX(cpTqLuUpHpM
zHJ1(E7r{Z3+Lf8`_K_FoAH$VOWgn7ZoxoA<LU_47P3}JY#vuFR16ag;n|cf^Y~6k^
z9o~~3P7w_o)rhv-htuX)Hj(`TlypwsNP-{U_o)qmRaT3HV&Pxar+Uf$2A_kLQb_(=
z_rW-_zrocj1}e8<x?^v0?cs>!prSZ9eMS46EsS!e=8>@P!wMI&KSr&{^mdZZ-KEWM
z0aI0CAr@><c<87e9LsIVPx7lL-Y#jw5le+F!SLSQVjETA!?wjYNPc2t(<>#I<0h@}
zHQ4#d(GRk)jw}6G0L)@_?mZja^5uLM6)d#tPxE&8P=mPzE!@`Wt;Phu7Z}c6JcIUP
z*H(R6IQv$U)gM@ny=xOSyuE~pb`EB2xv*mm`<>jsJ^y+hUJ8?LTY*_N{bxG~o6NQK
zF2Ki5v+S9M*Y>5|`vte~8P<%#9hcklMqpiKT5*y;_$<fv8{BHB-17}?ebnv!2^P2e
zt}zZP&As@q9WJTdJ2L>AJ=2zNgna{kW|RCtXTiU9Fvme2-Cp?E;5$mPUrV^{B-K}V
zd4J56N?0k^#Gnag84wI1`@a~O?xJsj_q0&2K7-4~{Ec732_0E9k6<@iS;n_;)w6rm
zx$t*Q=NF~$f}><pI&3<^eZB(r_{F1=0ymxxEXjwr&e!VRgQuPTb1i_+ro5xS3(sU&
z?|2AT8#pjW!XFQA`IrOyxI5n>`_;Hc*|NpMI<CxdWIr3aP{y_dIDd4v!8Q2N3rVjS
zSp8nLxi?JB+bet*77uJ@y$lbgZ|uAUr;T0S>k4m(OpAzunKf?ok^OgA%sw0rg{$Jb
zXHLTpvzF3H{(rt_k`3V!m$X4^_;BgAY#mtfiSYe%uxwQRJ!N>U<e{iCyhGkL?I`SL
zE;z0VkFi$oBKsHp?6v++0yfxkeZLrNF!OCv3O;`KM<Ut(Xyg^MG#{+jnV&`WSCUqa
zp5ccrY4+{e2hUqp$g;un(W3`;!%`+<^X%{+XNOd>pA+xvlM0()0R_=Kvfq>4!TLo;
zSc}=qb~9|&-J47e`z0v2Qp152YDRSMz_)M#O1P`c<nQ`vd>?y^B>rJPs?nXVpHU#L
zmi+tMEX+c^KJyvzMPII-CHO*fvUC@G-Lu(X9uAW!3Vsi}Xw9krg+1=-f2@XoQ)*I?
z{jF+^EIi8LDjWO1Yp{*XVnqpTdVHq`$&YMdq|1RXKNNP{h|lvzHCsOm4(kr(T}S*r
z`}4&l_;zUmJJ}yAgk3`+0nU}2>n5MySKny#Hk^{N{*eLZ>HRJg1y?wmgww&27Zy4~
z;7l8<>s#Q|fDn!#xWT9RC?ni@=}xsTyp~*bkR7HLdu-?lmpg4A-35!?D*xjQfBeSO
zb^xw8T^DW-A96Sy$pa5_eHJ|fw`(c8%D|E}#tf#g$9#l<6ntdf{;3}PN!*N){Qtx&
z)Q73T9qY;Uny^p*R}p#G%_*cxAGUs?>n#gs2G(8CgDoGQ<rIgVBctps;Lk%cg+j2m
zWiz)q+^(i?%nLUs%B+z6pxAzVzPuae`+Kp3>?ig0-7k*q@Ya!Q!Q}c=<+&S51*gkD
zRwUQod;jNx|15Do50nwifQz>%S1!Wlac9R<VcE8`Hq)?lJ9mFJ{A?uq(IjjjrjwWj
zYf;x448y1X(A_5YhtdqX#6kFLmZ(l1?699-@iWY}Jbvsc+@|SpvlEW2lP)LuS5D`B
zdIx{nK2i7_ZrS;rqZ&4qJ9_X5{QW+k<1@I#e{9c7n196P*%MfeQuZD>UT$0FY6|>O
zw*OWM-2J3qH3>eyTY~BZTu#S%CmcSY)%J(%XZ6L)wD$(QG-D=A;uD!gO&8#Afj_y+
z;nBxaEY5I2mv%CFzskr%)~DbptL~UraPGmgcx(>s>6{*Ua(~>gH2+-~9(OkRuN01u
z6%rMMA5{1bJ%%s5cyWOOrs-w)`4IM3_dGxi-=Horz7Nws{mal{f$!UOr#AV%xwRDx
zTj4Rvr!|Q%WrRa&73^(GUq<e)RArC8zk<sRv&6{#b-Uds@yGD4g2e;me5~-W`sKl!
zf5)bh;|a;j*WHIz)dud8^G6x&zx5vc^MJ4c$={oOr#KRxp!8HD=Yt`jbuAp;Dpo^5
z&fm_Zk*q+tD}j2s5azVlJ9P~XcFDL%@?|VFWn5w9=C8Ko{0SQc1vtYkmjw5d^CL45
z&vy>Cv9{Ss&X1N=i>oz!+2~nE5v-y$vcn7>Z5pntfW3^_PMg3Xo5e!N`Lcc>Or-~R
zY(3*k_8%(|x7N{yDN-IuzJ?>eT>hm5|0mQb@E)dF$v&b8FH-LtC%<<eHdYQw!A$$r
zzShHzk0uUE!1n4f3AHfmwv8=<u=C8bsAhOTMR4aK*uwgsRug=gUb%7~JU@O|q8Bcq
zjnU<RKQjByb;H}m^X8f1%wL&bMqvl7$si_Jc*dG*9Jboh_LUWWmwuUL27c8w$;$$t
z+Aec)4*ogOa*Z6Xe$`rO9j2UH-m(*ByDSj85$%gGonA*Sc=CzD6|x_i(yj4lBwss;
zv5EoyD^a(J7iNl;$Rqok)gAhrMDhi1Fih<x=6Ly=4;EF_dn*Z_rp(!~2M%1laP>cU
zUbMM_d>-l?Z+Fr@@?Nf{+)iHq?7pxJyc9f<M-OL>rErt|&g#4R=4jvyxyk`KSgM-p
z{@N*w->p}EQi07LEDWr`lNo)tN&D;BI7jF_Y&iQlL=)yc&d@vyZys7arVcwUAHFmW
zdzMd2lJ=d*k3FwOVW#Cx^Q3)eHm7#>D}2>*{rd^n*I6XL7hd_!o}~}p?l`I64!id-
zB$&cfJ@WTk;GU-kjE!N6R0sK5*g|-l7HLm*3hRWvg9}dx(wM{LhL;6j!D<%USFGSk
z7t>2+@QsgxC8Rz2d@f-3Gx*}J=`?3pw^BC$5iF=oZRrG$<=E?I!rq>(U6pY8gS>)3
zxGuioP6ceQFl6Wpv(oAM)x%P5a>JKk=@DgV(*LORz8vNZ_dP1xNBT!E-hJ3*5BDD{
z_)7Xm%;FoXPQyc1thJ<nrIetmX9l-Dr3vbXy)OhT=))R)FTF-#M;ET6dhjKmhvLI<
zK>Dd~s_@!c>b7P0(|hhRIe4Zz?Bj2^)Zy$I30P^oshIQ+m-Ylri@^Wm=)U8zdfzyJ
zC)qQJC_AH4vJwfIkuAHFEk#x&k_wrn>};Y)NwP;qGK;dZ`W7XMLa2~_pZoXc`*mIC
zJdZl(e$GA4eI0cw^`d}FMVsSA;VQ#xhNOO#ywJ(BeDKpHJ4SZ6D>ZX7C)|I8>#G>d
zr^PeH4FAWpm?r{9?X$Z{4IliE^P(zjVj)$uYK8uq@>gk6|0%xwlJQS?@1rxDNqwe$
zI%Q(t-~^ciuZ&>>&JEq;u;8ZjLTA{*nm2D4UVdut<OrWkI(zIbEb*yCjf@X$igpv|
zfTOCt{*n4dKMvHjHp2dT4@RS5r_r4BD%kg!eR3qMxV)%V0&m3=O(y(Ix1Os2?s1fr
zOouP@vo&PF=1tKXtKgMe3!@1z?Pd9TQorcgEuHHz@V+>{)K2)|n;wf$c<jPUvv&Ba
z@}7TzFpH6q@*pgI>Ozbk{P_Fg3aMw*A@fH1JS^&3JU9(28115ShJQ-v#eE_1gd4>+
zu=AhlfF*cr{^?;$SnZOj+)vmno$Zq$9GP0qM}hID&0D3sj=|Rl^+wha_Y#fUrUvI4
z<}@=RK2e>Ye;97pI&g&^-YY|=CkuCM3v%8DJ5I2UNWfy9%tB;5>u$5pRZ)1$qBg@$
zxbUV2iy&NPJNQxn?&$9?<AUSHsfs1w`q~yXb~u6|)^#u3>MH(~0S=X&T|Wz-NKkS4
zX^H*>r(N|Kn0um_`5RnsXBZg@#{|#q`T!e`)M}9N#cLY&J%eyq)$Y&LaIUcibrZbM
z_jVT<ANAJlIMo3UHHA>Ug~iV{Nt3vT?*Sb${<<|+Er!I8%ls!i4G*bv*^)R*@Lkt$
z@ayWtY7#HiEPbbh@#Es9eA+_z3hz*yBJ4aaTbvCy8_d~}`9STS?zTi&=Q$Iv8Jr+v
zcm5{aI2%so0RPqBu@(+L<;rcag->!n$q9zXGdDjV^R4SfHWC5w(Qq+)H~3=6&weks
z#(CI`%s&~pY3}fVhcf0id%=n8BTde*5JLu)Km5f@oX!zmk1cKRg*VtY6`z22MxJ;^
z=A%08SeGqfP4@8JB!9cPqMA0$PrI8p7|#D19-#?m&6~#uz&YB_24rD{4+}T0!E+w}
zc1XiA?DT3R|I+S+=G}1ft*irNzC&khj7|&=WviGEfisr8pYXv{+qFMO!9S#{mv_K-
zW^A$|V7iBf>FjXMfr~ei;9re>yIA035zbvHu#tk|bxxS>$Is_ku;a#y?IgeI*_TbZ
z@M_zbAP=0;>GPY+kFhXrJ;M!C@;YC83`<3iZr=k7UHo;S3|>3JY)8Idir4bLD)<h=
z8+Lj42TSD726&UqU#kP~ou>(xTVP798YV56J5JoQ3*J8d(L^1le6POR17B21r8b4D
zDE|9C2uteL>Kem?k#o{yzN_meN4^!Dekw}zBkU6>J!1|ZlCLWH3}2}Kl;Hvk8=2?L
zz$I0ypUD5;qipZ5-(im9#!BvRnk(D;C0Mb;A>=G9(QE3m0yoVw$pyml|NXM2z<LLt
zVeZTRaPXYgBv}u!@7QyRNH|k@c8C#n%zt^|2K@Aow!>yv`?Ql-GW<De!F(IMw%5fy
z0p95qCrZ|1$UQT-^cW5uI<j2^{`*a*;UPS8zb0=tO!4_YuUgpB*e!+B=Q((*zp@Ix
zmR|f`8m6J*Wh3{~z;D~P3NZ6-7K`Vwu=)H6WmtwbjlKsCSjsmf>q&AlZy3IUxBpcg
z(SaLYvQWN<&%a-NZ3IX5EFB$z4Kxkd$$AxwF}a)x*gT?P)fR3#^J_23f4R(k!~xz>
zd*H?--1#m-%nMFbpJe+8cOCoY<^y|<3Z9#Wi@VHCufcy#H~k{#Q_^U-8v>gstr^b1
zjT*i;qu>p7Er}$*O>&|)2G*PU`(qxann-CS>vQTpHp%{gZ>TabCBds!e{TLFap8-L
z_u%Z8zT6A&_Q*N;`>=Lsq4x@GQj@>;F&zBMu8QP;jT7=F>xI~`Px1z|j~y3=oydA3
z`uU?4e-Z!GXkA3=4P8FwUqXfWMXL5VvK~n?qfe3Ki<=t_wZrR&Hzv};gOxO|df@Wh
zf)SF>5fsnX3)|oBmtls@V~<e}!|yyVULx(WK>O&iQP}!XPVW|YDJouh0*<6T!nGMT
zJh(fQte2X)ea4Hl?_Xy1POrdz>Edc6J}Wt!w+4sW8>Nx>7B;gOvYu;Cf~zQL|0}K6
z-jelR-dWMXJK&(GCoi|aSxam$Nq)^yYeo*ZR9~8p{GKd{v2NgjlX%M<_~2KT&o%g9
z_m<u|^84fW)kj_g-pFc1DGblv6uTk@r)_dSu@?@Ih;upsd$XPRLh_S`^okC`Qo6n>
z`(dByjaka@1(q+NBtM1v`W~`At<i_`pb|W2afpx9Phu^+cKHxI)w#h@4^HY&9w5J;
zvN;Od{a~*9UB1%rp=QT^ANXu>Ezce}bYFEXSs(YN)8+yBewIw*zGQt|>mfq}9(du^
zE}NV1u<zs$C!FJ|zbzW}(;o_Ef#ZTB{-wY=59}G}Veyf|Dzg4A?2GwR3b=$q?NJ82
zYdrbaI<60%B75gF*d{n8V;R=mAE8gy_wj6|*+s6`lH`0^vc7MT<8SvAtn2msM;V;{
z($$Jw|4qq51*I^jj2#8J-v(Mg$2P(>8(&2A!}djMI?v&O!CEPDzy967CQ0fyg|x8M
zwZcz&S!Oz5wT(;;<bF?=jQsBn{Ntr`0ckHZcc!Ow!`XKG44=W3%v)l}dPVnA<Af5}
z!bn)F4`zF;r&s_Rw<Ri!!2cr8U(JUPb=N#5`L6Mf-K4!@JR*`a21`(fvB#0)spL<P
z{3Z6QHKhG><EK=chL6TqX@tTIxom$Y;X?ZI8Pa}EZ|RvJ>ofHV#(n+Z{AVq@e!<ZK
zpSrKWn|wzo8L{58sGBa6#Qh%)Ycs?2AvC{9yl6p@b2r@Iy@~MxeBSuzNpU!;;;+MH
z_^#ehH3gW@_Vaggd}hb^UpaUz@_WL0c#G$&L0x#^?^B2W|DJEJxUB>4NUmo%h4}Zs
z>K85G&EYo^$nSTF(;g`^cq$@Z(FlIv@|EE%JT$qRf&8B5t#`Dzz=D<vPgUUE?T3nd
z;o)1K4jqF3@NhZ#z^~6NjZ49@N|$x7!JZ9q=k~&%jLfNn;cXl9w+O?p|6czS2FI^@
zSO~&HwkJzNV9~Ve|G415yP^3}FpZ$DIww4%Z*w{V4iz}{jTzQszh)8(cSsBGXM|h-
zNw<>x2F+tZs}}gZYA~$61518qY5onLWu@9j>S3v!mEAlAM|E)vB)}v0f17@W-^eZv
zll)U241Y)AmLTfaDX^n_*O6iPPjAf;l5hTg{#HBey6vS*8XTio()SX!-jw~F<p16F
zBA_1rxL#CU2EQ1}xmgOE+_>UX3R_E5$v%YL7~S;R;607?l(}$!lROPs?=5j-u<$Ot
zroMNDtOvK`3Hp%)&ma3!+5sO@O-j54>xcKJ{C_<;!zf=Qd{;liWB~Eeq~(`a;X&FP
znq%<mj(CPEa221yh7nkyy!fdvY}U1PatfZSoH*nO=j04$PQnz78zx*}nuN+bWc~ZA
zkpxjEc)2D}m#lw(9`p3|N%-_3Gvx)C`>VzlYk2V~*PkEo)QVlTG3@mG`?qCyaN_5>
z0i1KAB#*4GzhbgEUkm0JxR$&MQ?_S*RflO6)Q$hZ;YoG372%ZAtQs4zem^@!dq5uE
z-|=SsFX9xf&X*<Ofy*iLn-DKGop0O+%k=GVB>8eL_OkNA@2`)U)4=*uWyiO}2bJwR
zH^Mm$^EveJ($^jJq}~?)rHfx^U_FLBNm74IxwcgHmpSG`OU-vO!n_RfmlokG2gj4h
z`KT(q+a}=f(U?ePSU2?-<43sXw23;&=UQcd_6|<{n7NA^?mx|bxEIb7wwvID<;A2w
zb--?av)f4htF6T%ZY{6|h3z#`|BCUwCVL%xGh)?;)W72PsI{nu)7URfk^HicYxxDR
zN($46I4no!`7IxQe{*aHc|T&HDZ$GG?hZF);ekh5SSt+SEnc+mN&U26XM2Az!R3^$
zJ*0lxi-RUI4Df%}lNGeE@$&~g(`I<yX**O%-mh4d+O_oy+`eN2FR4G)!C-7Z0H=iM
zvy%E_|FOTh-wSiPuO23GQ-8+vYFJoZWj~2W@kf2EfFCyte<kO0%gzWdhA)Xajgs%{
z(9iv<2yQNrG$i?Vz8=}024~ZsRpo+zm)4$2f$f-#)=0kU(H`pCFw<J-ck=gnWE?$q
z6YdHzwj=q@!{<{j!<inz$N6FUmy=_c;H+gQW>SBw!fhqQ3)b<7-9Y|5`6k`l&%?L>
zo%A93y+;!{Pr-q{!A_!Zl^NZM6L8BFXMU33xS5CYI2<1m%0~YEJ&IzqjNljV&vxyC
z1z%==KMG&=46WY}=ghK5Yr^{qjHO8aNtuJ#rv>vz@{T*DVVn7TEmCk7hwgilZ^v78
zZZ|wEW7Q)E%eV-Yh{A^UDv`4A$DeW*eDLIuk-HjvT6oh(F1Wo-M(haeu#G!>Gt4x8
zVD1Dg*AtyW4f}a)F0_K@59O<@o8ta|Uab`c%kOx?`wgbtxeyZrhkM`h`w4Hnlx<o7
zr+;z@pMv`-KBtoRhrYS1eVl`*ywW@yVD^FfM<l)~Z?vZ#-r)4*_y>4{F&j%4eA{UE
z*f5;=(9V>+-^BmqpX>x2{ps)S30QGZbK?lSIF$G41N`TXPr+MQ!?QD;67OH}J}mtE
z0-o@7F(>b1<xY*>tA$14WVC6?`&kC>r>fvy!Sl5wfA@P;xdM1eQRXqJ*X1~(8jufH
zzoC#_#`!&7{IIr$FZ_Na@)w?qU&^$AX(n8l7U34w`-*b#-7mENNWHN9@JGQi@JdTn
z<!|_(=8&j3{K>+!@E=T}J9c&#T#W8GIp2Z{-4+3Ou^`QK6F#43mEN2e{t@%HjpS1u
zwa;UMgC50HQzOpqVLwd|Ke1KvA^Egfw_-QKc`O}{46uf2Oy9rb=)Z2g#775rPgDi`
zf*%=CY-WXJMarHp!krJEbTGkYTgIJc;0$l+T6Xx`_;BGgd|=1;1vWT+AFc66_{i+2
z1wWj9ZhmM4HZ>1t<Av|>@n7wQ@0{GQNf_q1$=cEb@8x<}CkPj2DxYhE*96_KE5Y&w
z;{kQBVleArML1J>t56yIb=`lT8vIXt+36{qE;;O@0S}ZnJ+FojvTxD0f~!~bqDWlz
zUEnS9J|s&n$0ri!nPV~~^~Z|1G=CPumi^aL$@`ZDi*&k`@D(}DAo6}@L{(%jIi82N
z`9&oB^xZM>8aRUM`hD`gCr?IgDfvF(6g1!O!Y&j6jP)>I;)|XKuyyN5968_RD+Zk8
zebSfiNiz-b&PVhsmGBYSDQ|MVPf2Miq#oIG{_L)1IKakKh}08n{_@d;obRsA_cNWa
z0cUd2OPI0np6(F*@qL?gBOH~a9ybDe7zakT!xB{n&U3K0hL|~tkIMadv;Ye(4i=O6
z3Hlk+9e5u$KC4r`3clQ)pT-Mkp7%*7`2+lFSH$5uC*z&9u-3;-FZaPk{=WlXz?AZm
zQ95u^Kv*O>{(-!s`cc?2`V%S#<9V5(K-K^@u~oV77-q2<{jLj_^<?bGhlT35e=vcS
zq<^2vg*oi?Q;gt46y`Lk@Ri3^?;gVZnI)cnaQ5*Be2?ME6B->?U^S~(tYvWB26v{*
z@T6yhc?G;kzriUKzOYQE&;pBftIv@9T`Zffw!)M=ed^&b(@in2*YLi>b2mu7#x~Ka
z9yoXK@`o6>R$aGn5WeA^AQS~(Rxy|#g6~)f1jfNP*iw2){i{pN>Kkvu)-2c$0p^f@
zWt9j|K5J!|hq;X2rIY+)LIcJ>Va>Kv%jECV_f-+0#ryK9o6kHaas3MxZuGE1^9*Mi
z%*L2%unjKr|1X`KPlT~LksI!IKfRm*f8R24gVeL)4mXh}`H7+HuZ7^!_P4k1!7U2>
z4ZGoDo5sFun1=T#&0e^5Mrm&$d^gzjw={hIub9Vu*sniP`2bA)?p_<YAI^NP+J6`}
zbBJVk1W!Kv>PPBfIYe!8AlJLp8Rj#Z@QJw3`Q-jE&Q^Ou>S2vj+x#Q<*AjzEwgG%C
zQbCnm|5at#Q$}!rPRU(z{d-e>?KlNDzdFfJuKyE{ceB~STi(36NUr~*cRUtJeJn9k
z_jPjrn<!NtBK5HvQvWj}*S}fiDi5iTmCJu_l$<ZbQOA+g$GTQHEJLpEocCwVNPVoO
z!n=MXKlpEbI;oE(dzGf=HT*{C<IOv;&fg}sF4+Fr!GU;qns49PK6vtmb!#e|%K7=x
z8~C~VR<kUa{aA&~IQ%~7kk)-zq0A-wKe(M~<G@4socICbIXKvAPwP{7opwBa7EZps
zZc6H7eQYk&ScgAz@6jUlvHIAI!dKzIy30H*@Ml)v+w5qcyV;&FcfpkHTl+APpdy%%
zR5Ju$zN0m%2LE&zEF$}7FeZ<Q9f249PArbY_eSKdYQt|9(>_nbPfxTrYr@U`B74dH
z95FKjI}G50TxZ^&@Q&%nHo9=^-6cn|--lcaRmE{Qz*Ekg><6NH_~suY*nGG>V;xR$
zoG`M2pZ?Rm%830$oZoyIAo-N8lWolK6Ga7ylW_i{duc+je17gSiBCMx`XmhRI)=9h
z;XVI__KU;Q&33oR`6SZ@93<hm)zu?s;kV4&%nriAlTINna86H4x&nOIzhu+{7M-KH
zbp*cqA19wX?4jV!s|gP*Jm?OBH4{r&^k9olI<`P~GD0NN2yPNcY>I~I1<%J?z$ebl
zZ;FH)CodG+!fH!@9UsC%!!NU3h%=2IJb<}eL@$#4XSlwxmNdf3qCsbT;nu$=f7Zi0
z%nV8{!b<k3$68^Aru-bTpUtuPi5T*H!DAozmF#!Zo5MHR1$PGYjgb9tl#1-dI$(}l
zkI~NH`xm4KljoC=<1}0Ez-jx&nz~^F)tC1YVPj4`Z}R-JpeC4@4%0E;C>w)2M`ne|
z{ydN57aYIC8C-gt1+Zz3$OH2H^;wKc?kP;$KS#?%p6?pZiIM$*8q#=<(Ze_7Ei3Eb
z*4)5VZn%W`MZpW$dMx+wHn?qnojlopXpiXntQZ{Tk+g&C7gn}W$x8^HT1<5y^|0Qu
zyL9Y<zjxD`eSi-&TxHw^SHIkxF%BQ&Ep(8CE%dM4BKs#Tt3S`*2j8rS9wha#mcM^q
zKLFQ%TWMQ>$77dOWMI2i#?53urq^NHQxsvo2LT(&eocRJMMvb}1IxE{)=B)cj<hP=
zw)gyAvftCGRI>__-*Y+o0@<G`jn9uo15WE(aU%OotyTCMk$j${9mQn-sO{ki1v;?f
z-KZ?Gzf@If>^Cjgw!37CA1<qSq-F^7T@e@-g`+g@h3dh{BD#XRVaLbM$4ud_YqeV>
zVV}wpJ`?z5+Ba)ySm<1*pEc~1cS27AcAc-RvVbQgV-pnN`MI9Ww(wM?=S5O)>%MPh
z0?BvODr(S$y(^#1+QSVkJD!@rA1V_hNdC*0)+?s)WzB*cXW*duu5YB?7H?B%yAzD!
zQh~OxTE_!_KUh<+!_5W0R&k}q2i}!<GU6)iY(y2(1COZ9TndNBEMK*}f-_I)HIw}b
z6EF1fkp5Y6)#$U^u<)OxQ>1^!dsOvr9EqP!uNZ+Jg#CL~4zGvHZg>qp-W_x98C+!~
z`=AAuKOSd5>Rah@+}hIsr`Ph(G{8ApvAv`}x5+K_H`%}O>B_;aW$=+*!cShn6j2Iw
zq(3+Bl#$&Ddv|?UFM!XuK4oo%wKsgyC;hn%`8zkhhP#KtV-w+e&O@H<u%K_$hfr9@
zDBq6M&#L{hPw+bYuv?Ow<X=|a-$D9wiHXS!{qPOtHw+hHp$a7_62E5OM@jl`O*5%N
zB(6?%L4)+)^b4x)kn^n#Ur0CxGmNo>48pzaTL(#hZHQ+7&$sZ3@mA4;aI^fCPo!Sg
z*PW#<q`$UjQI??>&dVq{y#uC62v{R=JvM_J(*LTnyLXm+UT3H70xdjEF>zuPjvAbj
zCjGCW!^~ae^X&e7zP^O}-DX6i?meuM9^A43M}~Tf55s3fFK-=({RQsve1uQibC~}J
zznAZeCg&SAWxM|xR_*(Hc>-S8RXEiNf3(^^OU_pjl6SBM?)Yi^{xdu?cj!_joHKPp
zkDTvk>4A>>Fi&u<(iD8OvXdbX=1@^uCizE&+Dp@5BS+IOGq7m6^->CK;}K;>@`W<Z
zG$LTt_*AVQuvo{JurN51sjvJiY_WZO-~uePf9(D|eEq%WHgDMassAaGpU8T?!4+<|
z3o=}W4eiz_$nVFAg^K4S|HRO;kvW{0UH0TRe54s=3SpPbc|Nk=sBcc-1o?dp(wkx>
z`;mt1q!A{+um5g`wUPYWJeyt}gx6kOtojGb?u%wV0N-@t@cavNghiC^h5h$$vfG6H
zO^t<Fe(#3g%qYJh`9HtV9p#40%S4)}5x3>L8Nmr(8G7MQ^0_0UBw1kF{r6oNU=c$m
zZ$?;>^3xE>_d7`2Or96`EuVKV!4-+&oBqIiXl<^M{G;q)MdbNIU`EE9?8mx~V$*l>
z{1MdeHBR#RSpFRzgHtM1d)Z;7_<$?J@a)3JNRpqn(_i#0%<J$dfD1l#@TW^Ryv1SW
zE6M+I_IoAij|BBS8QD(E>AXUo--PZO#*uu68i$-xxFnf1gdeV08lHFp8x$M<B>6A&
z2c)y${g3EA3Btt!$1bG9;_C&eBtK#BC{F@>DAFcc6qb^&vAF}^uE<;^`DGR5kFUbC
zYI-xf;J6aexgfayeXKR9KSz-)sNxP6o{`ff_2-0l-?@4guJgWJL(X^MV)Pp;SbTj)
z5!t`?ea;G-1*~?1v6sXrrRV6C;pl5Q%_J_i!A4gR{$rW?mBcR>8LA7xvM)tPNc=W;
zeJDTt;oGi_Vz9{gqsug~SbNa|i8C#5Ki@=-SFGeB@%}!Vif<;k-l8PwNj<!%FrVL3
z@cF(w{<~qLP^Y8s;5tDnS4raTHxd0X-LT6L`Fr|gn}=S&s$zZZ(lFn)z1y4MyV_w_
zN&bUA;pQs%w8*UILAXjIW>W>cAuVGUskit2bXd`2nB$$_2-*LaI^o36EO^M7H_i;E
zleJ1shL4xlsQbfG>F+<{MG=)NC(YM<Vdka}s6&hP{p8nCvVXDapd;gDxaZZi_-nAG
z!<lD3Fz2_IArbJEhWksNaCxzf;tg1{=wbR9`0>us9i-k}9SuLf18h_5(RT-~u@-K#
zhC7)!^X|g~)3s41uxwA>2~z(qyZD9lG59OTz-&KE*HgMG2TvcgJn#+{Z@p)t0(<v-
zS^fzp)sC9W!r9Dz%FD3rcw6ydxN4-Ig#r6v-#yUjMdG#h-7T2l`1sNe5_jLD*nSKi
zIlaUt3`Y;oZq|o4)%CjWg_&8ljoZOXsm6Or+_B6i<uv^2gkS#-IMmB2!Ws5<(&XTV
zjTZc(&Ec(zipBpKWBhX4wKPMx?YpD<IJ|aIf<YI)wDn&78+hY8#qAofi$dGwKG<~Y
zjwkYPK(+D9LU`Z@MV1O&(IQRr04}a>XI3QncU;Vq;H`-d)>Ywi2aYDk!-YLwZc4C)
zYv9y%m=Z5Tk@N4nZ?)?xeB7L~i=59$^`^fETqHA9qXjQ=o~?F+5B2DKll;u@A$E>%
zmg07M@_qeGPUYIce0#5Q>%i6F{>QA~L@{l8Be*@#DB2u$P2B2F@~{309o2-_?+mz@
zz>Z-jc+_E2*2DZHzxS1I%ORLP?GFp77q~F3LoE+mx}Rz_g;#DlKHd*YL~vG|fXxoc
z{n!f!JPCBSf`2F*CkYc<?YFUoqb>=&6NFz5#BV(XSB)tKbHnp2>Qqi}%6+;<PWbT0
z`?dD)$uq)dSm4wG<04l$sOd)mBRtz(X72*`k24r=g0G04FgXt^cJ|((fJbub>D^#K
zojHX+Mi^g<IKAQx_coRVEW<2TO(mZ2vCOwZ-{EaNr?M}?I{66>-{4zI4Hmwz!T3|g
z33z11^5|ta<)XLV2iWmK^}kE-{w=qc2I1dy20yOCZ3hhw^ux(RkMpm<vyyJ_yI|kH
zN{M0c(4-h&2fSY}LoWo5P||8`girPFIvfReT-!kV9F{f+Ukr!o<oTYI!xgt#KHY-T
z7zgG`;fJT)Qe$9efu-b!aD>!cWISvdQZV!Y&N9<ey#p8gYP*^R4_9<broca^FEypZ
z`@1I1N!-BZU3Ca-lWna<;u1e2R<FWy4rOuV`?%4|&lteMR9x3dey+`|xE}l`@!LH4
zd^O*lmla_SwwR4K;BjVmMP>LClgS72?={5MGs**Zj;_s-f6ssPY-#*(LiagNQeR;G
zoKZXtiJR9@`@vUlv-NL+o0gwlAoU1hZXOa|G{p1Q)inoyc<tD#<2+n)>vyjY+*2%6
z{sCs&A>T~u8|<YXUmk<wat~*d<9~nOmsAUT>(M+t3*)^Hv*)nm8kYcR4@}-f=Rbx^
z-%m=C_Tpaa3&#?;Ea}2Dsb}zg<}FhJ{B@_=iWz+O6!oiz@DBZf5>n5=poi^3E_^ub
zUXvbd@%)HPKAe!+FR2YjM4N>qz|xHORmuJD@%@TgGHm=?eTCFBSkwvsb_<@|!pT6|
z6Qx~`3h%(XJgS-wz>;rDjU(Y_+$TSgdIe65^F1U#*M~Yy1h!sYym$lVd~&~z)F)s)
zAowd9E~l}$zyUMc31x=BvZuttSm1+=(l#W2Mr7<T6a4I;H1!oYVAo@PYWOI-a?4dX
zB|xyA0zUFXeyb<kUB3L9)F*g#Sf$S!-gl%t>^FQY`%vIna=d6%(mbqw?(iXZxP6_S
zW){}v+aGljZsVEdoP;r}t#cZF>{`)H>JtnW2`!kzJu<N$NPPlz=j|m{aP_=R@-S?_
zakHf{OzC{EpcmGV-?YsX{uakz`v(5S_xrgneCpX}&kk6xcQVKTmXq>IX@>dE)c78N
zDY%RaYhlr_Tv>T|Qs&p2GPrEbeJ?*uKR!DC7!JB_I3ox%>YS0vCixQGBXb7$|8P2?
zb{DRsynpv6{8UnfG8{hip=;;~Tr{Y`eihy^mz-P*vr*V7UV_ai<YVu`CT?ze-mq%G
zx_&zRu=Dk2XE=^YH_;mw;QG9L8m9V>*3=gcGUatX0ed!7-*beUM&vG<!Uj}c_Ac<r
zpxi8dSfy&w$^ib-(Nv-Z>$&7{8N;r$TEi;vy}!Jh<>5oy&wZ1JXF1xt55XosY1zs1
zN<)l%t03&wB`r*zXDl|4g$l#6%IDiyVIey+`$m1NZ)p*(;Dlf6KEGEF_xE$r(Zg=r
zZQ`Qgq)abvN)rF`-RKr9?!Px`ojjlSd1eQ}RRIxczu;#ge@|V7C4Lz){e*SY0*XE0
zXsIW>r2ipFN8#=bzcL89^##7~e5uY3UT>bv`T$#HuLL;4@ls}%r2j*sRVH*2HZ-ns
zCH<{?fA^1{f_-DT<4ON7?v3S;CVay8dLHR-&Mmx7(uOTAUgl_lRXG*D9E5q3rbX*v
z|DuAtL-69Svma_;0ojv!(y(dMyLr-IHqdHgH~?p>P1!wxGd1>D3&Y<uEqn^#vd&m8
zG1$uav-o}3;fP8jAFRb;rj!L=P|v<12<LMI6sN-PcdWhM42Q3OZ-|G-<IH2&;pI$z
zsaW{Z<42>Ea8E;$S_JHqLYYbpADEY23xkc)i&WS3(0{Fa#1sr0P_1vEK%DlZ;mgbL
zLDRekzY#yy-!|wA%PTB6t-@Tr+qAu4#a6}gudvW@=5wU}fW^O7sX6$Ea{W#_*iYJZ
z_zUb)bMSyQeCJj{GRfb<G5g&DZe_vRQ~2^13!(ql6WBX<iNwP@IYy5lUj8Loki^aD
zss2gBs!~%K<a{At+bhU;OuNK2&Hv!%{bDma;F0;+U=nvy{&kP+N1nMWMC||Z&$>fY
z@MPF4I})FMxAP9!@Bh#5Q}iSr8=8<y#-DsWJla0OL0>#ikp2Ga_EC5Y!L}8~S7zY8
z^sO`RVV|uB4wC)rT{3gy2H^Bd?AD`j9{U59QMj*feakQ$Whq_J3!m;DKF|eE_K8Z9
z^VJJ?{UGCSA}5~=_rT}g%TqMNU##vWll+ieiRuRUoWvfLPFR~Zqmzv9sTXpuzk<0H
zlS3-tt(}>9E%2HyP2v-nsyWiW4L0(orY(X`F2p{qfa~ina^=A{ZG1hd;iZEy>KSlN
z#4o38*h+`WED1KZ9oTsf?)MUCBjc4n8{T-w!5wvJLu5R2i1DFhBCIO;<W2+}S1K|T
z1G|Wc-@69q1+FH>!v6H?CxhXt^B0uD;l4)=?*8zPGL5xJ5?>z`^@Ht}>T<8aoAs^a
zJ>Ztg2-{G&;8FU+vv7j2?-L(bQ*HZQFZi{0(Sj#j!f4Cr4lipaAF+j<^9NUa;CAs>
z*KJ^x!%Osza8lcE&YkdTaO@5nSShczUj)|U{e9CCesUpgCkLFKnwVt__r0_l-v&#x
zcUzME#aZ*)B3R+p1^2VsaG=jMtu63lhM6&Sm{PzhaU=ZM{pOFu@UlJgaVl8K>g|I=
z@Da(2t82Pwzs_8!Ci{s8&5Kt3gDsouyroE-A@=kynB9spiR>3{%{Vba@~w)E4at7u
z!)K0OUxbqmEZJ^{D+|A=ko-L>N4IkkA2*o#4*LbiC^5iW%_Hnd{v+k7Uu1vq_v&Bi
zXW$n~k#rm3Q`A@6NdA#?(@p;{{$H%};rt}*G%h|l4_m5JeESB6FvMm4fCHOO-kE?y
zbC@Q3VbLF+;pBL_@hh2c;CGqr66APp%8I6DxWBEokQ}d}v_G&BcB|WLOpgB%*%?y}
zE3<{NkbFxSZLLb!$K+l47@WBGvqcG<A*|)|0WLoLt+NOYNt|x#hG#t@$MRtNG2`I3
zaKa#4QZCHFlq1>!dsaMskOmvPq5j+jYey^F-G%S#9gltiw{H939S5u4dZyh9zq0n+
zdmBD%v0=U*o{wi!j)Y}6Pdsjf1vMZ1z5$Pl=bKiM_#Pd4vfsDVnZIncu=cS}%|UQz
zr$%)t+&UK4?+2@eCi|7cs%M37k^R5bW&Y!R3@^~SK6QpKiCs(~`Kz~C&N;%V+iO)G
z!m{Zlmu+BfvyJPIV99ed^Oi8{o-o~XIHja$qX}$3{E{vU4*7MW)(}2aOI?x#mried
ztqreDsk+~V&7|CqXu!Uy^|cXjtqrG%61?^Bl7BRO&h{;%B3#2HDG&nZC<OA#!kyyw
z@55lLhlk!t!TWX6LxW&P$;s(GaPee^>Q(qs_xY2e@M+dVw>{wYTRi9a;a39o`ra^a
z-4`)lc-y{|C0AH)ccKC(yjENL)D6yPaad%BIXLDm9pR$?wosG($2|pEIbGmiQ<Klh
z{^MqCs`aPfnc~DZo8Z01Cj;zYaZ&fEjqs%UO+hPieCf`&lbDa)ghFoQd<sWsqd&m{
zMStr~z<#Gr77xJJPthJE$Dg0lI@1T!bx8ha37g0)Tq66AOMlv*M)KwNe3a>g(^4(e
zj>955qcvZ^YSJbf%;A;rD;t{N1Udiv`tZ+vd)R8=dfoF5M(`sFp{`1JIX#X+8#ZtC
z|4~Se*Y*x2`92933m(9~-^Zh5CEA-Zp&GIuIoE}t>7&H+A{R2@X7h|#6_}>}ZCEmV
z_Uv^%HTaA3uu39KotnL<0ACG|bO?t{)lRvS{Ca*B-Y__*;?mZG@V4WMCZ4b|&B`$n
zSG;zd={%fXvH7PQe7kIo*9Csq|Gt=<FUp8($PuRPT{M$|ZKckvnZqKn*Lp~PO?z~?
zDZJ-xf}aE&DjD=m1?E5U>Jf>*HhP$+1p7Q6Jx=1{`3r6PVdX@%*D~;P*9K;3I8*F^
z=wWzOa8*(mekyu9OBGHjYVi|=_wk4R(SZxwe%|GR1GM_Q3}GG4nh)FIt@-Vp7H~tD
z>sA_gi&FuGEy-sTx2A)6rL(Qhz&!I!w-&KpqN%|l))SU{9Mr!IA6~PW_J{4OFK#F6
zEo`nvkC6MJk6+w&433wMl!<}w>qjTF!S=KCt_d*hjQmIkyw1eXOzzJYo4)ZE!xR_)
zd-ed{b1c@W1lD7jU@Cz>T(XGBg|GWnhmrQ-Rp`p=Jb2RQ`G2JSiB-1zkO9y95lJKM
z&zrOr;cR%jsrXVm{5sO&Y$)8+{BW`lrgUr+z7G3p<;0NoZeu-%Tp%od=C?L!FSp1!
zI9-5KNBfk>=OtJ^_j89;&+c5Ugy+1oY#rga+g}os;J#T(ZyR_eM8br$ANN(5PMX4_
z;}hR6!jqf*-Sy!ehju;;fV)IiRLT0C*?Na@a(!+5;x9?o?-)D~7dZe=#~-mJ@uH<s
zZXS53v%-MHoi5+A;f7Pj4e5`-?U@l&Z1CX2rr%m{V41!)3*5qPT}syf+?JJ@qlV2r
z+Oo-h=Nd!H(wpF`FaK~Hg>An!Uj2Ct{cVxcRAj$$^_|yS=HSIGf1Z<k-7=SRQ?Mjg
zO&VE0G}AHua~%HDVQ6jvziDj0I}Fo!6lt7-lhUufAB35Fj%+vy?^`$%+6{+4O#W^U
zuUhlBcfs8hdkbt~b!J+R7jQ-Al_VFKm%6sJ5mxuvV(bKSaNM)1f-`$;Rovk9RMU)d
z*sF7K#TCw@Q_^@0YgQ{wd&22Fv*8b6Cz?08=i#4I{Svuwc{s-%U-)0-HSa7~NbG^G
z54`c&S?*+b^t{-vYw(`Cwb^%Iy1w#>D=^)z`$r?;wcy<iF|dN%Om_&pR8V#)3SQjv
z&NmRI7W(RP2j&m)t@ejcX7~uj!l46pwx00cf_s~j;NIHxd+u<h-@dMR_~W^6$DH7q
ztya~ku))WWTlR2C3Ed`gy+(Nyu(QHO(_9PW^Ga*AEtufbL0*jHdeyDCHT6~p<Ig*N
zc**t3CpC4iAI`7w(I?kym|av#Eo`|v@U%0$rZZ;x9A?u>h&>IfJNW73!xBL`IhL?z
zbrW>~T)s6f#t=U3vNz`jd^hJorZz0S)6*srZglzGtqM=G{4(~0nd`TVAA+OhWmtUR
zkF<eovalU<38gihB9gvyAN(=z%kz_P(-M!VDE!sl`k6ZXX++(btdBD}6Xl@=vrD{B
z;)3t7E<5alv&QHP$$C1f5IzA(xOBXaj~QOMS?<mc+jMP`qJix%4(}F%Ib28XZ-n*R
z&s}7L$8R!MuVOu5i&&J*R#;2npU)roqPFn}BRs_@ePaRMD0(i51wNp{vhNGbpQkeP
zSsU;BJbb<VI~?|756=X=FRo+Y8?3zfNAoajdpq<6Ilf|gkmenn+8KOh4*uqn`nVew
zIw|M&3-;^2y3hrOPfLm|!NNrvDKB7W=1*JK;I^z?V~z0Y%vcZkezU`~*Q;RZyr}vO
z_<J6n>~1ZGg(t7bkbJvw^R4-C^gR(lO2iMY%30>Z->C)0NPfG<+P}MSokep8`S+=r
z8B$Azk2BSUQo)V!8DDR~F29#gZ-H4ujl3dZHm}+3WWWB9JDgnC;KME4zsPz;&xiF{
zfiU$Z=BGPg6W%Z_ANaIUW~LBKA7~oo344s+wi1ACba|xCz?#jxN5$YH2fto$f^+g&
zDMes9r>8q?;NRRSbK)@9hrrX;@KeXjP9%T*7}H}NIN-y&i3F^0Vqjhi9@d&?-U}bU
zn~|&x?>BQ_lZIa$bR1QL-37Gwl6Vb6U5^l~UQo*|L-LPaXBU83d`kKy;r%l@HQV4+
zwT_F&;THZ?CI+}m{F$^dynLkf*+vq7a*>(bFYZOV75^T^`A(f`C+!=Z^zZRSIO7=S
zy|Zx6O9R&*@ayL*HfP|xr@WiLz_sl8@_w+}dDrBRaFBl3B58jH8Wfa=U<O9vZqojI
z$iMWm7j|RV7#R#dIjQT`31>*gJKTin+=3Td;77}De9^FKgh^^093A@ePYV2}F+i{q
zKF-?ljI=lDYKHB_aQw5tz#`ZwYbowNY;jRft`PRS)uoUL_j8qRChIT%6CG$wfxU9C
zca^~wfsb8o!_OZ5m){IqDHZ*Qg601f*fzq7ze5wR!@l`%_1ob0g&T&0;liV7bT46{
zrs3d=a6@Rrau+O3Y4YL%oPQ~zg#7*w`RzUH1}7gY$an)=Yvn$6g{9*>ExX~<TtTLG
zF!k?f%>mfLZ$9}HY<cH6MIT(B-=%C0Z;3kleHh*wcli2oSn#4$!8`aTAJ=YOxb2FA
z$1J=iWVNUUYv&8^`36hz9!xz1=k#fIG2wZ~?KShvURc5H&SqA4{ox*s1H{*o-jVt%
zr;l;5?1P!IW_ZZ+6_b;c3yI%qX-g*0cPvz+N<#2dx2*|zzFQXT_{<IS<QuD;fXmoc
z#J0f!l;2iJeVMhGscsgy&~5O`Y4{W)#}+1-nfH8-4NUcUQ}rhJqr&09b8ud$xynB+
z?4Mck=71~Q(5&@k8NTLFDny=7H%^}0y$DC`(|Yd?`&~Wx<{NzY!p_bMu%lEk`!sBI
zry|rFmfPc5^8w~^i}kt$_q*O+AA|MB1ovKqH#A<$>xXyf{^Gg<>)y(mdJDU;MDzv1
zZ&mNy>VOT{EE`Gvp5DwyZ(HGdv9AGF;m1!h{h!0KepgIy!8OdU|5d@x$C+4TVEWL;
z{1TX*F>#vI4{BlhBwhq>eZqf_Jg<jOzw6C~y^@3Wlm0@d$xp{P*jS0um-HuewSL#9
z!iIm{4Bo<a3KQyyuxaX_c+x+4>-9N31Fo-le02mq__*%_$<Jt1Y9;lQN~Qbd@4<f;
zDxEf<Kg7N5XgE23c+U=jb;Qrs=t|s#bLn3)Q6WCVE9w;me@+x@BmJi&K5?$=B%ki}
zGdg&6^QIHQaL<FdT_k^x5Od*qxIsvYgAq<C`ZRM6_C1i$L-Kj*rsEvobPb6*R@ke*
zZon44GQT8A@^z`(b{fGov=O{p;HPDGo%P}A?3s5YpK2hJSrc~A3uqzzLsNDSBQ;o?
zT1|oEw>n(Pl!E7~Iz-5N*}V$d;}USr(7ul(U)xnbLKIFGc>0R;H`8BpckP5<#%~QL
z^{r@6@O$roH+#nWkoB}W24Bm#;99v~`^b7*YK6HIn_&<6uQU>{LQB9n1AMbpyGa~&
z+j>2M65f`Qb>j$J?^$QGs)_LlyOkqk{cOBM>+c2F{$dZe9vsCd6Eq7)(~0)$!0%L*
zg+If4{EhFD^|5i~$7V<2RgK)^CrQ4RWqcppasI^Kvv6+OeXed;cT?dP7kEotdBaPX
zpRKUyGW>!!A-o>;9iMj!fXA=pOO(St{5O>&;DEye&z`^;m2dxq!K^gX)(>F4!0nSU
z@R#zyj67Jz<y2M_+%|SgBOP{X$c-lJXDfFIgx`gkH+<2Ig-5ewB<{d3XGElv;92)(
z&s(r`@R?b%zSi1saN7;ok0Nh~tgj7wWN#e;Un<_MPx4o<L=||$LGq^*GT=ZTju{V_
z^LWl8$q#Yd9p?g<dcFOS1MixC+V2Q+e`HT3>vO&3S_4nQ$KzFQkoCFBI(pBo;Bd2R
zNAlqIC0i$B*de1}FBvbYOZxo406zEZ>z4vJJZr^33l@8*S5yxVws~_Z!!`%m7aCyC
z`_>*L-o4~j-Vd){cq&KYZ>W^k2I1eaiLoTkUTZb=9*!T`(5p_4=MT>rh2OOCTvCK@
z50qc}3SXi8x_$uOPWe%03YIgY&EE$zQ~u;9<7tMPu2Xy9JJ)xN%)r{q;kSffsaLY4
zEAYPnb#`8uk>i9Lsn2)ewnNQU`1vV&OEO-!U9|o$8=SfpzU436nezS~Jxn_i^^X$c
zd)4)_UufW&&L>qAaKTNpoBuTMJgHoqN5%ukRUh`O!Bio=r${|PW{)nvMR-2y)iEYG
zu9UZW9-i4bPesNPR}ZV$PQ#L0ulkem%sU(+k^}H+ZM?KRTq>de?iK9!!iGT$*6yh}
z(FT`D8yb=E(wzL;Wj*i&r|Szc{%i0&Eu;>%f9DiL#(!r7U+*b{x9!euD}&pHWP;M*
z&WZ4ArSP^fcj0*Ws13bUBg_|TTW}NBtP#y3<K?>og*PU_Os9Db{(~=bj?qQKf*o23
zA7OgAG&^$qTE=d5Y$@7scjq?O2$+rIbmTu`zqd`d;nVecmd=<DNdNaK%>~}hx4`BI
z$M059KMk8O@qZ=r9bTdVtyXZYTw|^Wysh$$yD|Lv*7&6$SY(2FK^LYE36=?jJ%?;k
z)M20Sobe>szaTeL9#-CeFf9Q#=lG{7376QF+Z4jgmbV#p!KT`p+aAEQGC!X3!^0~N
zhil;^V@JPjus8pK_-eQ!wS|`zW;42O)(sma@=egd)nzoSuiyl|YmxudF@JZ8>nvH1
zR^$_%Fb%I56_k+mXW{+=-{;{w*_Ga8Jy*>%?Nbt`+G<?Q1Gn$GOTPeb^8ag0<^vlI
z-WYy@^$pA!m0%MEjo%~i?TmZB)L}mMOY%doaL3;#s_<9q?;m>Lz{i?t+Atna1z*E9
z5}BrCzVU@?LVFAR>cNBxnUBnOXrXV0k9ISskk6BK@&6SI(~7Bvko@)?MF(%fKa;x8
zkk1#A@fbJ<KmWXZTmv?|lgsG}kJIhFO5$GS3rt3E?4Zs$5-%+iHqeJ_4n-!D_~}_s
z4O!SZBI7!VSH|26lY#>q{g%n+Uv3EQ7l1!;g?=QT@BF8PgAdNAJ$+maetRp%ks0pf
zb5_=YO>FD(8DP=98c)gjtgVxmR@BfR+oc+A0!voR`z^uuzdk-<1n*Wq%{L40VSXS^
z)^E|j3_tx9rVwVIB=fa9pZua3hv_O-YwY1cYn8}RxH{S4f-QXW;S<R|SdGTyv<qz4
z-{bWLwpFU(a)K4F9pP?=-Bt58xxt4OPg%c&*IzT%yTUS>Jsa!c1eb*ep0GpgH?<nL
zve%Eo0d|>-*dGB?`)6~Ugl)WCeni2qc2KF2^<`nf4?las$ya484B&px>-R3ew{o9^
z9EEL9)!jV-54C<yIRdjkziD|2E_S~3QUT_Qd2XNy`yVSCA@j*9){)HG@R*Ao?Oym5
z-P29`;hl`RJR<OUP2XlI*e|X-Rsfz}m1Prz`_FF4=Y}sAFZS$&|Ay&ualozl#eD3r
zZ+zT77WnuZm-ifS3{OBf1^m?KddDYKJYPk0r?23CdATSR@dX|&H&i0)Pcu|TU)8}n
zzlu%Bde%zb>(LGHqsQkK$@<zGp&V}#Vcq5dx&gSO@!72uc<7Uq9JwDYAEt%|!#^r>
zblcznGimkfu-S}SLo=-PzV(h5e0!<9pWNTs8?1~jz++R<x5)jiekkYnIe0d0LtZH?
zFeXuP9%fn@wkd%{9eiz^;Ux<LAJTqAhyL5)3gf+(eWd;PZK3|c7XD?zVR;u$71TLG
z^4VC{*pguxh3F|8SpCy^vD>iMIPHCsFGgoIeiIJV)Yi8o@rc*IZonGujf^MY1<tyX
zQ1}J!hG!=5s;X2gY5%xhdV86{;<j|f7hu71dlp$(Y9Q=|J8b@<`;{CVcstU`9+vR`
zvY8ovHOv-x0^T{P)58jX4i}j-hx2Hk@os>_Xr59T!L+lR$2P*|2R=*dz=_xIznwmU
z-$Nf?Z8cbFa6NVgZr^mjP6?J2JNe%T>~!%^uN-Xg^KtrnSnTdaEi#`x6h=Gq3Kmdf
zJt+={v>z|*fx9xUMhU~MbiJ7susaQ3HZMF-v(2U&-V!++u@&AQSGtl6=PL$hGQ)92
z^OdPE<w3y;^8Ug^;eR@|uu|_}*Dv_&mMwG+@X!3mt8?(h`LpXf@GA<}&160~y*;^B
z4>l^G3HuCx%zRCM7><{Jnfe}n@nfk?8P4<cU?ua*<Fulj60nJ!lt?ce*>kjC5+3+B
zb@w$KBYr_h0A5;o^rRL3bN2Q}A$YQa`D_ck<#t~9c39n}FSs7IG_2F)h5aJ3ma5?A
z;UD9fU<1c94CMFt-SeNutZ;a5UkjOU7VD*4p@H9TbehkBf3<D*CHX!M?;d8sv;w<$
zsNiIA=Rq=`Y$zg`LJvn?{ct-L7HK}DvJp-iKUYWQk7ov@YsvX0chCBf`Qw<XL-zkv
z@O!~o8bh8R8g57mko@*GxufLyVPCmi+aJUWxSGAsz;eSJ>LlNzUVoo69IVIvZ5jS3
z$gX}GHp`_fAo&gZ@2#JNee9_W=iyuxS9Wt)LjEh$A{<|_{`xp9qWSgNH~70(%O~>w
zQCn(<*LQf%*e3HBoVwJ;H3`3{5-ub2!6Kda2B+ZOjm_s(;eIS%`2dS-jS3~tPkOBv
z6(?ZjR&l&Df$@rJ?}=fUGjz$6%m*vSYG#kY2eMLG_ruS6l#lkqNpy}PyWmYC%+&AT
zni!UkBCu^K)uV3se$LP`sVAKo-tGDpzGp3ej?5RY->$A~gkAHgud&10{{{KJfDet-
zD6+x2)?PfdaPpf7WAeNgEhaTm58IwsW1@pY=Y_77!{(dWgvk7Hxzc~iRq&Q=J!9l~
zH2Zk><P-RTW9CotyxJiUcCQr96B0SI2-_*zE#$zW_kRb?!Ub2iJjsJ?Z5rjj!6(E1
znWe)~G4TeU;H+as>{+mV(f*eI;J0eQcDLZ`n`uVg!H2Jk^522C`wu4!z%P7QS|i}u
zh?0lhu!PjpkZ9P6&R(Ds=A#XI8vx509+rCnS03IT8wA@(k2%-D@e?mX9N~)!b(hQG
zI}z5ZF0i4C?U_e#$hYA!P55V(_LY2CWaUh%Hmtitd?_2QNEVtt2=CXU5Fq^_kA2b(
zN^s2Sl@T((d})@E;Q*Xi_GzBXFIxxRY$N%(lH*0;a6q`z`Tg)!saH*8e%U{1LL3_p
zswi`IU%mpD&Q<m9hJQ6z$6bUwuSnhA3!mQHsP7AliO?JrhL_JgaySp0%LXio!qohg
zd~WcFn0^``d}U{ztP{zvtg{q^W!0X|*~8txZ*Jg*lUrhTn86X5wgDtxZZLO{%r~bA
z?-%5R3)3YuBw>l^wZ5G&&ynLBNPqcGdP~3#Sl|VZIO$KT$Js9nz@b*!Ur2vkB4$@Q
z7tHL>x@9x`>P`hGIlt3Jwbx|6SMBYkdJg!mzQ`vUm@lO!faF)RCR$O#*Jza5X<?hV
zK#w(yXS~z&4`YD!-^u4J!57{>yR@K;^%dJiD!;?I*QVu`V4Je1`^fvd?LxMppWq`B
zIqDN|ux_mC7x+={?7t825WCLwd${t?*w$gVsm>?=Bb-gW?+tlh_*}2J-Vprm9q$+N
zK5_V(G5sifNZ&h$yl)(Oims#=-YlW|sS5tFU_UhirwL?bR={-e9Jfe(L+s76C$QWr
zaoqvpZ*v}x;m0*&3$I`q)mLd*@X_+W=Scp>*aH?BaM;&}TRP$F>#QNMu=G+*Ob^U1
zkkfVt7VKg9@(!MGGocTHo#t72$@iDi`A<I>W<KcbHx19V);svaS;e+8GccpCEWaP@
zY)d~f0Uw_EdF%{a|8C(p$yZ~XZ*qX?d6aU<`OO|OJtFm}lZ*5|_rodsn07kDG{=*r
zTHwB6L1r>u7jP;6LKAG<xHFWTk2-X&sRVw%i#?UptM)bcaOD{s<a5`Ij2Ax9y)IG&
zdqqT^BjbtoN$wMm;q!`H#mIOh=QvAbKHT${O34sre6*}t0FUPc=BmQV@`d~SVAb5f
z7;V@wwcXPPKFN6ARSr(+PtBKvb8M~$?}r2BeC%c5ZIy$+_P~4SvYrURf=7NZk@@Fe
z6JBm2@bb0FH8Q`P?O0Dk1vmC2P71=0AN<hS2(x(4>TZSgnN6g6l<@uRc<q_tl#J~^
z-onRI?+ugr=L$<%#U^;5@!i};n9=_C?-y`x=vkL_jNdxjGig493w5N7sSuxX(Tym9
z-+y0aqJ%fi4M-Hg9-ToSS>cpy-SS*`=AcG8`Mg`v?@pw`mkcRxknfX!kR>Y_zPPzn
zbqh=zoT?cM?~aq<AoaEfgEqX1gs<`ZdczBE*?rUd8eDkeK@Iu)djf0AufQ>mu6{zW
zUx?00KX}5K({?u;@8p~110PR$w?hoh>)51q4lbS(os)%AWRJgcf|I^|en{r`ul}9z
zwt;h0!V?r=n=qORYgq7>hS5Q|q%i5E3G5s=p`Z-^YO2gKgs<~vEi1ysYT8;yVcL80
zAJky`Z_be#a8t@s>Jj*A+wc8{VH&Gq3p03<N^M03Ho4`<ejGlgKaeF3Z@7Q?i!I5&
z{#!&8t`F_nL#}TXar<BiI8$MKos2)1d0n914Nqv@tS0LtM&B_$5`d|tICaSV#<aR|
zZ3`@Qwvvk6kM1KGISg=bBVW@!nA_RwEG7I~q2_W9{N^bu+v;Jo@3v`%Phj2FiKHbs
z?Vb!Hx&KFfuPe>Mr#@ybJ%g+JT&{kFx6JmOBl$OvJa|0>TOE`&Bkf7Rf#}VHu>O6Q
zS5M(_s!p4i@Ggp%<)r=j@AjkYW|%f2WtzlAMk5jm;WFphw<P|E`rNzwaJ0(i%jEO9
zGcR)m!6~t3PGvBgpY4eNxPc>UjC}rqttkbr@S)*Tiv_UtzEUSQc*k>l(Oh`-YLL}&
zSXy<LQW{LjbcfR%-W4?RCk0mN6sy;VH~e!HjVAH4Y6nR^n>gP@1Z;eM@cl9PVYG|r
z1(;rQd@G4($n2T$f*B*cYDwJF<*cX;ym^cDPZQWUN^Zg$9*+N#LgEc>rL6k!c;t&M
zMsU;Bu&!eyZmeH@6t1P%utMtB*H~?rA>Zc%^>EoCc-kdrSOfM5N$iq=%Sx^#k^J#F
zpKvKSfQeQ~1#ah-$|UW@=D~>-RrtntcI#cRN3e6Y0*SwP>q**&-VP<3!|>aGReSm2
z*NqLEWZ@i9S!*`f<bz!h$!|3g;$($WdB%52!BJdk>ZE<3(D%uZgS!sg-mn4AdNZdk
z0cZS=qx+8M>igpWF3Kn^BSjikMzXicEGx>l2$`ALD=UPe?2+tLvPqO(C@Ya7qwJYd
zBBE09d!65(&&T_HuaD2?-gD2o=cLjcA?tm7W^}I;hgb8cX6ND2;jfm5;k@KJiqG&=
zW9~tcud=QF=|?znaQ{ml*tx*>-6(9W)OU@K#KQt($o!VNTrGiv@b@=zIb?jwE@o|p
z6JBRjwIJhDK1%M<Z1DDj&tk}USbEwk8j>%f_gb?FW=oWRxEs!3y=n0bzC}H8iR3R<
zWbCVjJ5TBEWQ6b6GHDgV(KWH*B%e-Qn6?mBQ(F_>0qfoTvhM*LtDH2)0MGhw8N3H?
z+fQ|CGaTp}M0*Q%&g9)n@;S`%n&RNg&*L7`!0vl54u-=CC-%9J{G)c!NjG5gitD>5
z;lIXI&15|o4~_U3lHZ#q5#$XIQv8%ymq&lUP~Jl_A7dbA>ETAiFPn^CvW3U8&Yk;<
zxMJLyWHNu`wUJWi2E?UH<Ia-#BYv6pJbokYefM#)GHjYUlTYGqa{taM!cpwXr%Bv%
z(K48f@A}cvwXMNH0p-WY_^s(XbLSO!xrfz(j6X|sv3&XiGwQnWlJV!kamVN-Vzu6L
zWPCgGJ0lG_pK65|!%mo1-KKZ}{-$~BI2Bxd=^r;apIG7VKV<xTiB`K~4sH_KsPGlz
z?dBW|8%UgEv-{uAupWhJE{WglVACh-Ek(BrCI5n%if%KK^_YYwypECc8!k;LkoB6X
z?b<4qVX7wUf3>iB>o#L@ynkUC|3mnZ+3DUzSkX~#hOGZ2wJE`G7T&sijp+^?@Th5N
z9-hx->LUBcQ>AZAoq<F6t7mS(Ns=sjB>$4isR!}!VV84%$6+3i#hM7XG~!~_6ue_O
z-0LQ6%6Qjg2>#b4932ezmgKXJ!XK+&Yg~oXu1_`e!PF`q<~}fW*5@l9;MsWQeO~ZP
z3kPQxtn})sxC^Xd#X0&8-hb8NyCbaLZ+N{Oer&m!)&|a6(NpY%LxY|)S;9>fku%M(
zA*1o2F}z#<TGmT=U(%LjBiO{MO1%M=?R)a@EL<2`xTz6#zOk40G+c6PyKWggzxMK&
zI{ZiI-_~+CPWot-3Y>rKg5d+$_v6>jqwtRum0h{8L$0Hm3~VToX>l8V9(ll26fS8B
z+Lr?FRq;v`fFC4n*m)IRofRtLf_J43cLc)^-CuK)^~=sX3hr@(DRpnk?|~;jQ}uel
zSM7~|ll9ZicJTQ*z(;d>c<A5=omY#laMGiaNorWbXD-<eHu_BYh^$XI&=W37&i{sL
z=Mq_e(BQL6WH@}5HRn_beA8)*Um~3OsW7$_?pgZLlL7aOeSDTh>@K901*^UKM3Dn?
zUtrBCgy*vhRN`R4!-MZ1!^a+$Y>0tnh2{cCT*h5x_YL@cx3BC&c-s+!c(Ok|MSE%}
zIe+ZgdcSa(O=5d{D$MTKw|t$%V~?<q&zE#xVl)zNh`DDJ2EX5}V?fSlb_z>2zy`*-
zO62b~PKbPUhj$n}Stt3Y)D+|GNxmfQ=LFc#;ZdJ0>|Mffk>qbweZz4cHcWTcx(yGm
z$=jTROWh({$p1qxYxGzJu5;=xNrq!@w*FLv-`@YucMG;VG_5QGGd>h%OoNl@Pv1BK
z4<FZ!BIje=>e#~$TN{R7&Vav#_3dVZFVHs@lepDhiY=5dN747&B;F!sr?W1H`{Als
zCyBQY#wdP-IkL}Jl6X<fuj`XA|IhrJK5+hX*N?{VMCJoGvL2_+r5S!BI6{2OoF6Qa
z{`Im3%rv*wOV;m98ZfIp3D0|pCXjp<-;3tQVTD%*uY|#dCwsHy;egz;GUWU3S9-50
z4yPp?=OEwbzdI*mMPS87*HN;5r~8VABp)oKe*Ps{zw_#Nr7sVBo9~$t$xqIxYhi}{
z>(d3u_kU&|{}x7ayvv(UB>!8mVCiOf)7^ruBsebq_A(7Doi!9q*5~B?FEwpl7WHk1
z$6jQ8&Wi68V}D_nA1sR`f5TPU!(U;+&Y6Kbu<8>>m(OsNE^9K${}trAYaEtsnZ8P{
z-@~dsh9fXT2FtN~aF5e_iaxlcV1y?RUTu(8eFrChP`XF*jSniuy?`BlQid16$LQ|%
z*29515+_Oi%JBz&mGBvw??UAMc~e2r@C2SN<(MmiebhHu7s1b{271YQp{I0A3-V!s
zfupBMeo>I^N-}&-{+o0KEYJR2_BJePdtim+FFb7?i-PSfJ4R~YkQp}a2>9K^zqBft
zWAZ?IFf1Xa>DU6_9BKN`9}e{O;ctTb<lBFHzz;iF8QbAUTlXAugTrmr-oAuCx9*>^
zgZuTStKPuvhwOQ6U@c{a%dg?DN8LJ2;6*RRlVrWotq&;l4PZ+_`;8yq;k|VKPQ&BF
zQN17G($a|Qny~SOC-GCTU{s=jGF)h;;78UQeN)iwtN_0ev6lV}OH2$gOT(w%&K+2Q
z7ou4VC1AcEGHE0~d-LHOF8FL#O$b?^RQi<F>_PYs7u_0J&vc#NM{*}TG8O!htVilX
zRqDG9HdtF@{|3LF=x|t;!F+sGXX<5mOn+nPB7F58*B^3zM-?vhE;!-ijY)F;;R_d{
zI^mpx&&K3<J=04cp21hV!#!tUI~n1`23Yh+gXlDzBqkwO1?%UVYmC5WVpdja;H;)J
znjv_q|95&Bym#*C{$BV*dByp1__yPgp>Fu7R@GV&+^)R;2l;)p3SDYSU`c+9(l)p>
z*2OFrwl3b(_5yZr<=R^S8~@e{ZGdI7IbPg@=lH&7RKr;`-Tn_?$3c0cN_g^SCucf*
zv3lI?5&YNDXY>wyxiMs}5Dv9;5{QORy%*S&4QDno&cwol!oe@@!{4Onqi(<lmiPxq
z`Sxsgv04Nyt~qg*+<)#%DYtxKOO<E`azAV7NSyYECza><qT$MNz7-ERayCtolrNeI
z4W(YNpU#GLvOchc+GBlZ_+Hk-T>)@dt}3G&yym#Ohm>DG3M8xT;B4oXFJwL94UtVA
z4zNR}c)lC_bNDf<CER~7_Pr&%AkY{`@`DsM-L`<+n@gn3VPR{N=Ckld-javbaJBnD
zurB<TF6FEV+$JwlrUGkRz0rOV7L|G8tOU~+IJ+9bHpZr5a<Htx_+gSST>nu;2ELWm
z(tQr5jf=k^3SY|+i#`tvp5MnR40}1Uh@Xaw`d^9g!6J)+^SW>l{ag_j9OR}frvwW$
zrZ=&}4sJOsD)2jDv0yg1Qy?^59u`iVOksj=6i?|Nhq-M7^cmpr@)!RkVHsZ`=PmH|
z>b=!6uy0xCVLG^a`)?Bw_=MY46-sz(qBg5I+`XNPk^(l9<!catjr{xe{Kk6L*A#vI
zj=%y}1Nv9sV2S?@^1!}nBJ=aGPhI8^FC0NNQZxs1ZSV>{0N?9~Ya;7q&uytc$_f8f
zT0TAjPlVXrWPr_-i}cBQ+kfebRG8tY`w80J@U@X2gG<u*d~>?i?eJo^P|^xql#rI$
z1UDL|-x!8vGR-QV!Mj@DDv!Z!sm~WG;E1E*60I=5O(g9jxRcFdp$!&(E_|&JHZcAn
zR}IfKt))GHnJf4Htc72y^cmcT6}u+WAHxnS4_wpWk3}@+E8zbIuL_a%)JK?K|0{+k
zWlx`shrQgtRy~5>UK8FF3(E;SGRcEa$5XK1gc~-u?<s^86{iP6Vf~#^_4ncOzvYX8
z@H@9G-)uN{N9H4cSpMb30~s)*uglBJa6zHxU?xntWE@J?hySc29+U(-ZWg}d2y2%s
z%BRBTJ{`PZ4_oD}jmN<iNzD<)aL_vad6Lg)S*LCUZ<lNR7Y(OZnfj3R=m&C|-EYAz
z?xs>?z4~!}|2>iL))65cvY!19p36NXzxSWmRwWYuE#Mmpcm3BRFAnPm>|BU|i!{Gh
z3Bhrjz2yAh)P}mZWIg?)NQ)JJm}C3fXtLhEnigZaCoCbFl|$C!|L^pwo;RE|U1iA*
zFPh~4b%uv4BCqU%DW)ST-QXi{a%7p{1SJ{cOYnomQ<tdW9fRMyNxt!KC*F;)a!|Ur
z4V>_T@%#$*69_t@`pp3@tCZXI12$!!OR$7Z5{ryS;bHnyO(gC~Il?v!vmN_xN8&%s
zd^O*|A>8hxb|n6^jP5lYkjZr29KO1`>r53aYAst%;+s0pZ?AywbG$bsajO?!kLAHU
zDq?S~VS{TD|FU5_^-fO{m}P(K;bb^FaL<>Eu+N)aUlQS}*QK#WaKxueqCs$a`1J-7
zU)#~N5CChjv09V(>7<*q-mu2@hX=^{V!38oJYm*(g_d(L{bSb^8#wsl1v!%c^hn<m
zEBI*S*D+mqUNWu21kR@SNF(`HEE^*(z>(J|6;Hujoo)Be!L(u5|LDL*j8f+R!K~U0
z_fEq3-v7L{;KJ@$BMtZ-hqDyff8)z1whc;fh@_;BG8{LbSgQg{s}^llglW$0H<yPW
z(|B-`{XLq7Z?PSRIsCp&O2H2Cd!I|fQeP|n2*WBFQGPP8Ns~m)5t!>9<3SOad1|fe
z5WMTi)j=_M;XrUKH!K>oF-QQ`n%B(R2Op1hkUIkR#=f)O3nz=tk8#7}CDymM!P3KJ
z=SY6b@#V8*zmxozqJKDG%6ppWKe1nmu(%vQiH}71?^%L<KZ<&?!px>8M9BUt@!Nuh
z*x_%5d#1^LE^z^66x~v&Uu}?mJpu<tIh=R{t4^rUy@zG@wn<jNCmM{tlX!h|@Ri4K
zcDb`4iKp2NIi$iH_WCoA!c~QdWl6A^xbBWV_|-{cwaai;%74Fx;Dp00(eCg=wLoza
zZ~kE$U<ijwdhH#C_jzzM>BD6U_AEVcVDhMeBwRbJzfSg>@vTb96oZ%9%~reMGR@Nx
z46wmwg$eR`PSS7j+YX<8Yc%`@mfu#p<C`RYpQl32<nLKKU)K8qKXZuPK=!w(52-lO
z4OfmEekO6xK-b7Ou<qy&>u%T~MYX>U{$O3D{Q=J6TgR3wxF1TmBS@V8qTJRjc({Jl
zjl@4j{m{J&53%W$kT~6dpmG@ex12hO#I-U%-na%Uk6(R7_T%x?m3zPo=hZNlwZexc
z{(R<!ttjp~JcU;^N4Wk<;QBtpb+!@S7JT>8Z@4>TE|$cVXr394!B<Rdy-ECKf56>g
zcri=1oWxH#C&xCy4`_?hN&MJ=LEm$@-7M?_iEq5-(vk;f>dZHgxb;mD`W)D}=G{LM
zH&j*q8wuNsiB6OFq3KOZ;c!64-n&)suzcGUGkBouRaGhM5=bR=5!RFKkt~MGbW4MD
z;p5U0wwbVyA<K$B%-5oLC<ERpZJ(wC7f>%AzYR}OCZ8ku>pv;i6JQPD*;RE|apo~g
z6g=e5P_6}2+K(mPfT>@Xt;@me@wXlZ!Tw3T)yLpqu1Ai6uv#^zsU&Q(Y8mPchfpi+
zk%5I8ayF9vrs9tcT;zq9Uz@O#{ivSOF0l*1v)hW(Y~kYYP+L~`)>+#pWIwC6t`rV-
z_)7CFcT;#n)Oafsyk31e@;tntw-Cevr^r9qe3tmRUk5czXXnm&3Ld1r9!dw7`xZ=S
zzz?ck3T%LB^e+8ThAo0$PgB8*ud-_t;ijPN5r4$-eVwy@Ckq>OZdYA{&j{wkOTz~2
zr)QU8cWawM5xDiM=7V2w@4doHLh!|iaP<ZFU6Nq>LHKr+=QENYRPSxHAEvukYB2{}
zU6JwF4ZmHxyO-pv(cBc<1%Hwpd_Dsoa@Ww>4o9)H_|3v{=6AMig|#!+4otvoSIoGm
z$?=ra15@yY*Hx2L@X-Obt3&YdB)`9ZvENvF!#|l(xJdJT?J8V7BRbj#dtNl2`wCAf
z&FYeT&W+EDX5p`o_x^eZ@6-)xo`frT7fVV0<hd``#$oTz9QvK`w5M~$JJ{L$`74tD
z(`v-C3l?^mcW#Fnr0+(*f-Rk^_(;A=1f%v#c)V?@vl(uBd^?crulB^`k`l>Jp^sWC
zhvol0jjVxrzn*3(fq8FwpLhm8u<hzAf)~0ozdV6We<sdn!)@bw*_H6OKGu>fSl{o8
zMhQH^G}f99@7pT0u?+Upw+l;!udL|i=fmUrOI4BZ^}NEpB)=py#5)|`Fx2rp2W}PF
zQg8+4$!3-)f?sOgxATQxbBGUQ!H@1AN^^kesT@!J|9tt)hL_-vuWl^fMZBy)E%E|<
z>_w>+IUn<#IZZ=YyXV#BJMi8Q0=HG+VM%)_5}!~UIHwH9L|q-qfE8S}-#r2c6|K>d
zxT|)n>0x;E<c^0Vp3I*AVh2pk`yn9@_GF!*WQ2ESwSRjA-?d-XBKz@mEK{&m!%>^-
z>HoqMm$o#JxX`mb$G*X(3N4})u&vrGw&KF)TYueO3_DvU?V5(iMY!Wge!i|l-vk_>
zARtNp-pPHe^Mf$$ivN58e8qX`;Rm?jZ1Ao7uxh0C7}=jtPMeK}<WG<7Fl+sPKKq#@
z*s`|4y8#XrzqmOS_Ls<&u7j0BEK1_w2le`AD&cySEZbXfQM%I3a`@)t-K~*uP~Q^Y
zLwF<aa7#3NdDrCULU?M|2m4TXZT%KyHf%n!gZn0YdVfIhU3jE)qq8?WtSFY20uQc8
z^7_Fk4m^YLaBTKo77N(t%=l6SoNS@?))JmO{$nW^rk-N4RE8Z~D(SDlMU3+7Ctxkc
zu1K=~BV#+ejRf3(B`MnlHuRQ1APtKpKjU_QPx|e-bO`Q}4Le5mlRT0m%E=G^PRd-f
zfbVeZe|ZqLowdWZtQaqPD;C5B$17(i>BH{zwC#-W-ZyTKPQyH3Sg!4Y+1eAaY!2!d
z#uR+p;2>(tn<rrl`YjVXU_q-0byb++&G%4RSjXa!pA_s=yZUP@{H^F5igkP+FGn&q
zk^EmLD;Zz|-N&-z@6oQ)|0Mfwel_h$WP^X3o>HWMy<a3?&MxlP2lPRd@PI@m+hJI0
z+aE!)pD3%sL%!p1L&T|XZ{P#DA)S)2H0?iXvOj6XXYDW<*z41Otu64bdmM*FU<T%m
zWA$*G_2(%unCiUgU9#V4uv6_#0k}ncM|A~!uF_xW2y8Xr?DGV+->yBw4b!l7737fP
zg<8&&{1-)1_7C9C-3k9V;QSq*LNZ{V0`&@#PrvCul{ENY2D1@6%yRazXB7N?(4&Lo
z$BJ`HM!=U@kGZnKb^Cj@ufZ>_&hU}^Aq&mz!SL(tC7n$0?S=vc517w>`8dgcIe%z_
z8~mSY&D2i#^`C2^mhg1t!Z{Xr7Yp5zIjk^Twn~1#t6dkl&cZY{AMDBbM&Ey%Is+&4
zC-0z#$A72&(||ura<`HE4;KaM)Zm#1laAEzS^|gee)#M9L<6}#78gR|4#N5-0(<wv
zWxg+7Fv2XJJEO?;)gx>jvJ;k}Zxz`Kd)wWALIv-V&A3ml$F-&*|Bu)&Sa~>L{fQXr
z=PW6=N8vO6{gsvQpKnzueeh3nZ;jh<O|*a68@SuEjWPvZN=>`m1an?nlW~R*@3fD3
z2EU*_x#$Wz{cik^?B{&!f;FESys2kKmh8tYw#4D83cI~8dP??hZro{BBM#fQwq=q1
zn{DOTC`DoG>qV9%-{)<04j(MZ(5(6Y{hPzwzVX2E`*Z2Z{>?>RI}`T7G8(l@<nx3+
zZ5?2P*K^XJko}uYXlw!*;b7;YG_rql-v`##9dHR-)CIDCb97*hJuS=>oUBatZ_XOE
zf4qsr{k=Dm{hJlWww(Vbir=sJTK5N7O2vBSCoJo1o<R0*?sz~GIS&^~TlkK^Px2nU
z`w9=LACnt``7L$5r(n5KS&m7#a`{*NI6S>`*W?(yjUMZG!?G;fUd_O&0>_K`V71fD
znk3)xV#snc{NJSt(OKA;ndfLD{8TA^iR2%bdO2PLx2^^Ze1qpN+wxVxWgLcSU*XiH
z&7CFib8n^KC3vkNkGU8&SNKgu_LFXDo-;{@RSE}Ym*Jn>;W;VrUyX`FlF#(;ux1>*
z_+LW&D!iK35+4nVZ_#90fzvCu4Ee(hd<Xyhh4rK#aQeZS3jb<J{$Trwmu_&{-_HAF
zKkEMmhPJ!Fu~}hU{}6vc&tYH+M|$XP*@!s(!-~5XU}lG{QDi^sWW_(9HDPw$E_Z6g
zt39Jd)M44w=w)&~!%N-1(y(!&<`CK6`kaX63khOR{tS|@BSLK>2tVC68L}1L5t{gr
zA2vAlTxAP9FeddM2fXa*DZl`mG&ZH~heeikzix+rd)pjmf#alU!USMzrz^(vu+Okq
ziy(aIL2nfkeEY*l5!nyhMf3~>11vkX{VUloo31*~h!xf`v#M5sDXbD^Nq+g6j9(|<
ztx}&<*<ri{IeH5Ib5=i!<hS!)+eh}NPVy@FL_VKI)%!2Tu(9$LFOsjl!X`lWo3<$J
z=;nqS#hrdR!p(`%<_BOm<0>f^m`7*mDKDI_LAxmc7SM{;<b>Hw3{<YdGp9e~2*7`S
z=j@DzZ&>?D@W3L!)=tO5w<;QAkHGdb`<)o^JW#8o_^>L1`oK(nF*7{zTU?w9@g7r2
zbAEWyRf+Bo;+x;K-8~E&t-4u~IOVU`j<WF6+qR4U5Px;fwpbn(xODpzHR7K&Kbf6@
z)m!a2))3#o9*Jdg(S96D@F(%A*)T_QSiHev%LdpuN3{4Nti=^>O$T%B$uaYWW34&m
zNPMT7;a#$yv(k=}w@LiJH!`xfNj}~SCg&Gk{q2(sOIha8(;zO+(8BlxK76v|&|k#A
zNyq<3_GgxKZ42Irc=<}u-H-5wg&VHl5#RmTeC!jvsGipG8{Ry7xOfFNINxjV19sc1
z=J*2^p=)0I0#A8eJV1x~9GmF%?n$`)v-cP^d`Hd8YY<N4=xW&t&%L0odk^zZPls-S
zwZ(s1yoCjy$~ZE>zvM&nU&HQiP6?9wq7<Evb~9Y2lEKIVpSVkv_yQi9ZcZTi^U9w`
zO5s75ZN7WpS59u+CGe<~%qkPi;I8j{2QH-c8)JiOMMlfhV3B`AW8`>+Gui6C@Ynkc
zt>pNChk~(Qu;oU!mo)IkefKNH;hpz?k5j;%i921TVDph+j#d2swjys#_rW~!Hu7Y@
zX$cPLJy>7?>mAeje}xAgex;#>MY<Mmllp1(Zk^|w;V;2O{Ufl~?bVX+!ubBo(!ck^
zo<4eZKj0g_JZ|sc6OFqcPr`Dsdm=mFdM;;&k8r}iNAxe@H`RwLdSM!e9G>TJbBe$7
zdwAJNJ@+ZR*H^N-6&C!V^qka3livrqy@J#17Zpokg^iL=tKkgZd7}dO<hY;bQ`nKI
zaER1LPo5X3FNEdj3RmvHV~_2<AHv(%JN|^gzco}uHDI5n;&HNHxcHGBJ||&X+YF0P
zIAE>lg(N&y)q8=|uO;h$UuT0K{*z=U`+xTub@4O8H;aNhhvC(L=WCnca*>f}QeS_0
zH7$!0-r3g1{S)4uwz2M~5auIMvwtMlpApT3#XPL6eE7F0ejmy0QNw-2o%7NXu(NxP
z^eD0H;AeICy2a9#eppsAk53C0qNlSV@yy4E8f@S=i`c6@a8Mov1!*5?Yuy_hf@#^P
zu8{VZxU-bp8`wO6U7obR4&N0RYk|erUw^#=w{`w1tAo3;CW=UVj?-#hzXE<!^uwzF
zHu+>b^$0FxrIyZvTSm-o=D`hJH`z)1vBN#(O*Y&Zn>t(sk2l46WWYZ^?rD4s=X`3d
zNrm;s<djLie`3|faJc8x6W$8g<kXx-7%YCH`4h?CpFcex01w}i=_Kvf#(5UWE3o|m
zjp!;^AZN#*JFL=C?OqQj`Y9ZAg{kw~#K`{P*^x3WwlKpF@jXp&?}9bGHB8BOE`{W$
zvm5B0gRe$Z2eiO*%-7R(;nK;rV<bOQBtTIEcAVzpYKNay<%XSvm3L}BAo=C1DP5BA
z4gLo=U&HInFIdE3;k75~Bwt0o_Nf5;yn;@s8#eejM#%@;JUZ@7;`6rc-?zh)zrxRw
zcvR7X)K>V?qz`i)oNAu9@x>9;M@&_PD`Dzy)^$yA-TQ<`W$<@pb=oKJ-3W{JLRdkE
z`9%dRS~j<ZwAaV$#~x+C`#4|lkl(jUCFjyzcqP!vCJ7eKwlxTY#l3H8k@z0roXl%*
zY}9H;3QYUf@3TAHo550c7p9)C6mo?HX(B|)^^x-}(#H%A5xU1h`U9TcYppkiUmYCm
zC;88K$}G>puRni%nhO`&&KBsxI)Xg@<nzg@_3CKAREc61<a$}(z2){vST!kUg5>*6
zjEzddd@RMS4`H*D%sk?-vm=KZxgLF8W}P|V_)Q#wrEs7fd&L2Gv?QgNoKI@;`}%fR
z$1FacTu;V<oF}%DIEU6d5`SbgCjLVZ;~$oCRU|GSywmSH{L7|Rnp~f09+ORD@U!Px
z?Bx2?5@Osk0tf8jxkLV*M9|dP*YMK_nh<h5(!OO#dj<PSMN&P1J%c8vs$s<!)}P4r
z>uR|}pb~DfqbSUQr;9m%+QYo}<XbY~v9!5IPB7z_&nMF0k-H_U#&F1aK8ss0=QfWg
zX0Scu<U|bIU@Wqx1J71)uib#pX)ILg!Z*jl>O$eZuN@aO;5O0r4}tKaaoDa?u*SYr
zLqFIoS>8+@&dwS0^nm+seBW~%9;bY|;tW%6yMOTreE#_+20OUV{|vhb99rw$Z4C?5
z9(utGck(vQnZmIp-F^b_@$$z`M)1@9e$A|K@%atmXW__%1A*-D=h*-aUD&#1k&_t~
zJ^I>86Mj{fFw6pbrk~GMfeTJjb*vr6dTT{RFOI?%H5u18AkK62^hPPzLu{kRC&cYH
z7wi{?V-6$>et`=+tjzh~xtq&u-LQjx^A!%*^Lub_51e-S&p&qfwBXMDP4F!#lRYf3
zBU8%z7Wi(<-BboxD~*Gr0`7Z8U9knGpv)eug7crAlcIqa-tlqg!Fy-xbjkDeXid&Y
z0et5?YtJ8)?<f0tcvIoCPebQPc`tkP&UiX(llskN0k+QGBM=E&i<?A#hAAT=rlR46
zpzf{Yd24Wt@<;$IudB*Op10XqPBT~Gq^6Ct<oTlf>rkXO$yfH?)C+4(#HjkgFX}gh
zy@fr3)}k-L&Ys@)$@5C$i<z1uJQAREk@OEWNbH)kgda>+2ax_DMJ|sV8#o~9JOz3F
z>Xi)4>%m#P@7T!mH;r8^-vFj<%N;6%`Aw!yoq;tNIe(G<AmKC8G-u(RjDM^0;oTE6
zg_^J*y?4)jc-lb9N*m6!KbJ`Qhxp{C=}y3+Ox=%2|Ikw@;YKyMtoyNR5^QQWWTODP
z@ry*o!u7Kp2bEzBH5Tn?xYglxvn(vHlV}$Pe{<U&coeql2;{#G8>v=tO27%hYpMaT
z&fDc7DR{f-9Q75Lb16MY2zGCB;P8Y$QTEA-!pAAhCf#7(%YLJL@D$V7nmt^*`BCy=
z_)kfHy&Y`b`QK44c*6bsAn8wfJrlCR11mY5O*eyQ|8S@6gI&gZD-GZSsb|g}gdaP+
zmpKRLR>fuPfW3AZpCkQAt$mexj4<a8hkkYVx582;B^<c0w5SAc8)Y=u1e?CyFG=d>
zEAvw)z6#)ab}Bw20dvu<uYZHv4GP%~!e<#&+p=JfRcZ=ec#2DW$2~YUQ#+UwZW%N*
zh=nN)v#d$`;BAoF-6(jUUF#u|&pk1yavhFtVxbp;-|cFR2!^MO%%VyDsqwiUSNM_B
zcRgv?=g%_>2e{3daknJwcuAMW65hs~Jf;k%l<!J3fon!9?kU2lAw@EJ@TnjL=`<2Q
zJk=!%A5v5JP3r$LF`<|F;oIX&XI{YnQUms}!jXC(8OZgj>%!Bx6Be=AHuxGA^EN$A
z56k5IOC$BQdquR%RPY9UF10au^i1o^Km2IFf7nV#?x(Y}ZjMVZ*A1q*DR_Qr!;=Nr
z$LL@21f1AkeEt)h%SmyW+^@Gi8mA{<iRaUj-(dX~m+%4j7u(Ppx!;8neOY?pj*z<g
z-|*%Wd`~-I0oS}RQeL#3IHcYRpUDbS+XO$?>z}KG!<FUUAAr@TifNv}H$@pz_Q49q
z=0%0D_4J_GVVG}LMkWUyy;E|KAC`adZ8!sFeZ^5q`nNM|eSgNor3&9%N&j|DzG!+l
ztX^uzejb+DFY6o(zq1z_IR`s7{b2Nkf3>{Kz6jsoO1$d<i)%$#o5RDrXH*^FLnXQz
zw(vH=j0ihePyBs5$(K9M+<PA0R+e0H3HI+dWz&PH%8Xn{{(sYK4X0q<E|#<8dGe6n
zl3Ejft$C-H<i8ae(vgMVT>r1y6;_$!xGe=A{%=Uu5vFxb9p!;{<%RDf&!^aiQEo2y
zou<bGIltC&i18{P=G*WxwUG0_oOzY?6aM>pNy7rJ%HDIe8TKj+K0=;fv<eqnUcm7;
z_2$X*%cOdbeGObeJKjzHUjKwyX(fDA`bmO4tXjdMR{}E_$a=ZKADu3w7s1p6^wKV{
zZ91dk12`r<n#~KAm^v4B50>5|o<Z{C)SBML!u0<RSzd)R!j+68U{kkWTmi6o%j$*@
zn4Q&;_Bvc!E1`B3{xT-t77WLq`S#TdcH}QEx(V;^;}P?OE0wM|hQTx~qx}vroqr7r
zsgDWY^(wH01qMRillt4{AEG)JV8&<anWR1yG<RcA4|bj2Zbs@~CU;e@YQxGG+IUF)
z=T}Dzy*fOn6FKt;?io2%ssKMWlzCVO-#r$2R1SW!=eN^S_-cvfgeXj@GP9eEN2MCY
zKjDXKS%l8NgNFv+Y!`zw&-lv?z&gI8=Y(P3kT%~TxI}}kR2nX^-)%ApUvuL5DFHwF
zW1BGzQ^lC+9)m^VtFC^9Wu$GA$=~-lVY$8lhdA|XYr$SSD<^)!dy?PZBA>qj%Nnf0
z<Hg$+&cM_qR+~0pyzbqFEs{F$?+Bi2o8bHY?q5yeDj9zpdU&?zlBh9kvpA8n4gOl0
z9%ThvXv>B(!{H7w?<`<#s|Rf?aB^$?5qtQG^WUO<aO{SM9=34q)TOTn;Jl)tH!d)3
zM&p}9@S=SSvlD#TMRGeo%w)6Vav7%Tk69FkiwfUYxWkpSG@@c~?+O*e6`0Ym`j-Ms
z&HN&R<g2(yNt5wZuEN=00kBq{{DeNd)_3U@i67x>I%o(lm&I@g!fy;4+MVDZMRO}8
ze*VOnEw1p>&TYCR&Mvpy6#)Br#0>ku`?f^w41!t5i=~6%gu)~5qhYC>eNE)^Y%_b!
z5(noR%kIApvlcmw+<^}&r4^9#ZB=F1cMmpFd9vvSIbObG>LDzlwkeLBZ>`#hi;Sm>
zCbE4Ehhu)`(^SD}<IhA${@HhiCu?BOfbK|g|EzbdY<&sK7H!^5?w_Oa4^O><+Y|P>
zC&0N{@juD@jRXDflu6vn>p!V+SY+eG9TM-7xWoDhE(mm(BIl#5zi2oMNB{Lco&x`?
z`*q+KY=0x@70J&z+-$ZA&*?;Pr^DC#^$*cvJ_`SzkVm)S0zLto&G5;s5nD20-N0JG
z-SBw7`)zW*x$;CuRyac3`#UKQR4O>ddEuaaXReU*#k#BfAoF9CJG2kpg1PuY`wzpM
zyDF{Y;3nyuBz}0yzVa<M;iZ^KUlBOzC+nF|c>X)3oDiI6uxG^|el{z&PZFMdaYfD#
zX38`i5rdfn{l?tj8!|D^$^0Hl?;&n-Jswji4w8nAq6c5uz<b8FsGWdW`4i8P>-*?q
z9$FRnZD!)C0i0iT`U{y)^g!v`aeY`~<Wiv;?9VViMaqw}*JGn~;BBg^{N#Sr`IoPK
z3Z`>D@kSZuI?*n27S<C<Wm1G=c1(Rg1G|-{Rg?Rl{SQU&dDx$3ZjIdke_8e<>cKVB
z-?9W@^#>x}#&B@!(a)rO(KNF7Me+rr6vbF!e=3hbQ+R<Y#+wD+za!Vk2)=tL{slFx
z(o=fO0yYyHq1gyumz=31=i5_0c4mne^HX+xxn~LYofAk}fZeF6El9p%+F|)mu<MOY
zs&;U5yGPJ8T=Q!GCNiH(-TpGqFr500^^+r<BJk9H0KUGUV@vXD-RsNS;9y}DO&553
z8`Yl{_`O1nCON*rmO3UI4v4#d#0d^G*6g_t4`oh1B*$+q*Vq>iH_|u9k>g(;i@q2G
z@0&T?P2#HB5xSS*`?DL%NnF;gGszv+c&}GM=95JmmDUTxNBefCkojieV!t;Yfh7mk
z3@*YQ2}}9huz?@7{3ZDQAL)4xc)VNUFZq05%f)W7!cxrhBjodC7GM6r0-vd8&vbwn
zp1THYhsUzIgWTaj^|D5K_>!kEr87+9m$&urA+*Ob!&|SwE5|sKSK!pz>66}Y<a^eM
zY1m{#1b-kr$8_${Buv{`HB0jOKA!FvfcI1wybgig%5Lm@5BGJHpCb7U##fD6;mR%@
z;ZS&QeZ}1-*iw4Tg~W$7^I{6&`#moIk+}28k)Av_``~@XYp@Xa2cNsJy4jJHaQNXP
z`uYs`saM=(lK;npk}e9?f49pZ3XV+_*A9m>r8!uG;Y@3$Ff*9qV9MVc<ahzK4r4g@
zPS;a%{PlVT*K=@$obdqpJm;3T96k^8Z!=>j->=Y0u+m>1)Nd-P*2(n~{Od*7Z+P+9
zCMELwg?FlLu7{;->rD0Gn!F9o&*5&<+=FDk-|*46e@Srae*5F9Bz{w|DiwCtVpo(W
z$NTqd`oMPTpG_oSNrkJ_SKt8JMl(|0SUS?A8p02hk^)G1w49T7))-b!NWMzu=jClZ
z_(=|q-RyaX85XXqxql4qZNI*MC!9a!@>LM-^Rzm;85Y~MDOVU)+rRXW2Cm^8(d32O
zF27^j03RQ8q!xf>jee*9Mfv(`mhChv>@z)7vkZrD=4@t%T@QHrk@<ZU+<qlYB>%iY
z3Yp)hI7M-Z1>Uu=Y(UCyW67Rv+hNDv0k28;i|@I%oiN`kKWS3_|JZxTi4JBmHrE?~
zLuayh>EYss)GY7epbze^sbHb`ui{-W3;)+JYB($7_Hrjo<xq2YjT`G@Mffw4=g)nm
zBQq3;fAbl<)d*|Wwg@jEK9$;BM&^@IGfI3}gi{85+{yE+MSVSH7M94jjC%}69<tMz
zgDX_ob;<Kj{h`SG6ukPJ)};VuXGqGQflt&n3+KV_KN)L}!qU^F+T?lqw7ZUW0@jps
z-%jS6dH)V6{s1p9m<cAsj&@@<LvV95_qRk?cr1&)2R@+5NFM`B_Wfz;gUbzvJ0f9<
zjA!<p@T;iy+3WD0Jv({2VD{CN!Vq{~sO!~BcyZuH+ZA}9=z;6)FvSC-a9?tK$_QU0
zd|OmA&mBH-kZ-CPHagE?=L*ZbpT6-7uD!(&b_q`UD4^T`i?Dn<X$xn}eVnO;jW>*1
znZwM%y!UJ1(6KrmGXG5E!}y6ZIK=yr%6YhHY2Su&`23SwoAls6seRc+F#l>Orw&{w
zx81A+&X0GV(jsxu=8d`V*-#706L5#Y@49^Wil0s+sXxiyE53LSreaqfmxp<^huI&%
zZ=J;N%fip5V_u}evUR)-q(0WZyY|W*INM=gkO&-1;c)Oaykf_g$q!dm#}6jM7W#At
zd0>lx1+E+LSlEW+WIo!Ds-2_ZFxN2Eb5^*w^%Acy+@r8Q!U(?(37xnC_x;;yPUfR6
z3=If4z%{q%18L!Ntly`d;Gu7HjAN+ZO58X0dC!IZh1KC7AK^FE2KBwLs=AdliN8H0
zRQwcXex0oM0p_O^wyB4A$b1@ZC-KS`N>T8=+u8Nqu=nrQ8{zQdTP9Q;@NVOX%dRk0
zB*Qd`H%P@kb%Ha0EC@Eja$*_s;&A+3Z7tFs*e4ygA_-T0S<)l@v!-m6Y(F?Lf089w
zn)H{N$?Y=#4x3ZwZzlbjRgc$eufZCra(q#+>iH4RFj%rM(=iklPri833I4Mp6-oLp
zwQJ<qU16Ug1!mH|DquSD>lj?(^ihno*E)0lmMX&IA9rpi?cv}ZFESo;puXxcCU^{P
z9rx3(fQ`##OJ(3tG5x#Qu)in$TTz%dY>QzYTzG_!nY6bnT(wTdz`;2b;@t3Q<yDG!
z_?dX+-#u_|(VC<!T<e&^#t7#wWi4EShp&ZCk@mi4LOhQmyb|C=wE@o55gJp5chj<m
z{YC$Pl>0YcG5CnY)|_SdOX>9q30US}J>Pfu(E$YkZdf;{Ol=naIo>sO2<Ct5(n0zM
zSJJ`+S>TfwZN8BHjNVbknLY5-Tg~Djc)8LcVkdloLAj$BZVCRO!US{8Q!>1P_x$}S
z^5-D#r%&s`WIRqz)#uAUc!TNWlSX*=_yO@b_(a6yyQlDUQTp6G$+vu`Uj=jAIxaa1
zzrB^5F%CcH7a8t^DLy<LoP-+|KS=k(YoGKLsPX^vcYjW9gMCx41kl26A0mHr!H2gU
zpyYzH#um1=!pHMYEAYS`0x@=P;9XXGDaGNdm-tu6@tGt4DM-RW8(PkE!&I8=l%&5{
z!|KdP2k`?Vg%hxs+N?}3%*C#7@Dxnl%6FCIGj;`=>cG!d8wLkpPIb+L#;`=3m@UZ<
zAG&2q`m^bGzHA(Zr>Kk$lKz3C9sH-?!_O}lnv(tof#j!!W3a|4=Y#$*llOM%K{zwB
z#gtsHjInnTCgGw}c?#ruF6(&yf#m;Pr3$<Ob4%z*e1_@tKbpqCPk%Z3eT4N)Puz)v
zb4!2seS=Ny_yUt*p}&mmU*V#TsAs8g<fc2`Kj7kPu6ORiTlyc@eTVz|RoHUi8>5Y$
zl=!{XUI_dxg8jvMYS$4LEK8Lwfzw3|S!fZD&<JKD;~Rlnt&KOqfr-loWITh~c(!UQ
z+&nleTMzfweP7!QTdj3glKVgIzm;+}c&k@U@+<g_)UQ9g;rUpPpl>k6*`mjHV0XVz
zi)C2RFZDOp&{McJ);RhbzBCv7s0eoc_r8Gw<=e;G_AB}D<CQDxlyKFn;WK4$aCg;x
z(%ugG7sy!vpAfbl-vfJle+wY--?}+g60p;f{Ow$rdJ@x+;I8m)*-Y4EV(k-YKbJ7u
zw4}gN3MvK1V74u5m*QaA!IKW;c~RaGx)K4;QHKj^z=8+%r-i`Zce|Ea!Li4-lzGG1
zbcJpg;ZwhJ^jzSFSEI$r^G-@{^8~s7O^-J(llJzyQ*NjQEc~Rj&y&QL&UTo>XPak|
z$n(<CYSBd>o*H@MO`fOaJ{c8f;VVj;WWC{Ys&YnJa3{rQ)<C%Q^W<H1c&vhbh&+#<
zZVOf=<;$-<|DKZPwSY2j#4-39he$vWeE)fikR<G3G<}>r|GE1%*9yZtqPsSb`R3VW
z1*W{P=T(zyq`tB0we>PPOjj$_Na`btH|)Ad`BSPRap*P7FTfy3eqUG1o0nSP<MLbB
z$n`XrrKU;Z5?dq9{=(m@v!h9TjVD-}T>ry~M$RPe9!GhLT>oC38Q)*R`fEDF<o@2@
zuGRepzW1+_<28Jp+bMzMzpM0YZGt&lcYBccCH_0PNdE$s@Q{%p?;p$=rj%C0oi(G(
z<o$yOzKlOB;Mkh=zCJj0rY7wn%$swslDvNrnIt-12s;S)93$^X#EG*!^MTXOe>84`
zKiH;tU4hx98TXU-6_$DA_j<s08G?>Az%moneV1X{Q)TPV;L8h!eopXs&w>4waJ6WU
zge%N{NpI{4%o^uDU<;dNHm?`MW`>_`*~8&6>kWnQN7_)Ci!i&J^VkFUh{4K|70mgp
z_}+bZR6jo17-l`S?|B+5Ahf1y2FEyOD<{F32Sw9$;B6v%F2=$Ze#v^eBwkT89RXKX
zwq`2Asrj6nNd0apf!9z4R#n@jPWpSiF3g-1fL9mdZN1>U3Ps8zaP()TFK)28u(c*T
z+}HSGvjfbwwRY11n0<d>lnvbTc0hYOtZWw2VF1&xU2bH8DbIh7(uda<DQ)TD4q5x+
z)9?l>4GxkoAJyxm4Ihi@ZJ~w}*w06wgpEUY2hqVLuUd3e;gPj_+#BF{S`Fv_->-pV
zqg1fLj%UK8zBYZ*_S&BVXs_*PbUp%0OuYX^fw=lld6C2Ln-$}XUx;^C*PrHwKkkUt
zC;60rjxun<U7n187h!(;=OTOI%`A!)%kUbt$`UDG)H_}n&cUr*FBwSvEc?e7rUh7r
zO{ZrEEVXK1Jp<=|e78ggSLesN&%)(WrsXtn-ukxP6L8O?sUA|kX-NuoPr*JHJZ`U{
z{7V@sygUS-2w5#B{g>9Mt-_;lz|CkcQeN(eQ|j%5H<&Odk@A$b&miUl+)-D2p7e(@
zvcD7Sf~gfHyh(ql<mc(Rcksbzmp`Qb_tBw8vJpO}^oN!7zrLy+UucHIj@%jQhcExq
zOMC`Tvpr@b<+qfu6&=a{@bSWMD?DA*Ut9xo9GLmr05{!xZ$t8vR1@n+fAF}kI(<1@
zdicOdCA>VV+ENKWDC*8Ehl82QFO|SCiYE1B{QlLJVy-f{uH&^5sUH@e4RgE)7baY=
z$b#ECeGWZ<xusKbNq@GkKs8eYEK@Gnng}m)W_L!x@lL_?<axQnd9c<4?z*@4FnONJ
zeQfabf=&H}m#@HXDUS<J!PL&ZOqb!<&{(U}u!5eIA$fjF7Cq9Hg14@1_a);A6uZOd
zWns$SmGxx&!~5`^-v{8IdbXp6@Y*h?$DD9YQKz^Pe7*WeW9xpj$HtS-%E4t63s+vj
zP93FVf-qhCJH2GMCGdR%slRAt?9NDp1)8YZ1mJ+aGe<n&dvW{nN&VAUHOa#jzE-a>
zPvV=T1I*9EM+7dsA#s)Cjk)LGOx?Ku*H5)&b8pGRDHl?fN&NGNF9R|#Ri;`3sgG7U
zclR~zL;JS<;$wO^B{49z6=sYz4<Pl?PK)~H4EUx`*c~z-tZDsX;9Yn`>*zF@4|ep;
zZig^<{fq6UIXLS}1$Q|7SbyQ>CwS{FekUKeoOgc#ssGVcyf}0Pp5U-`7=_(VthT$u
zRQHo2-^094(bq4-Im=VpeXyQR6Q2`2&B5$U>Z8qT|4q8UYj3PY$avmU;TvJLuz6w9
znHKny4Wptx{JC_Fu?fzfRh_ngFU##0e+DPycigdpDY|;ANd5G7w&2WJ_<H2#4`jaB
z;ZG0m>cdyr?9)nM7xQ5i9a#GM-P%0(rGVku8Thv2rhpuHayj(AIvjdk?oKAWesbMN
z3+|8ll6xCIRGRyhAGR3fdl>_N4%nR|2y;EYvHd2z_gQ2-6C7C6AruVX+5A(J1->KK
zB;y0WOusg?%#Qlkl^up;ym`0vOyV!tU3KrMBb?5~J2C@1SJ|&y!_BVOlV;&NBO%u;
z;6=aZqaWbHkiG{-@IS3RDMN7ffQ=0qZ}vVVakK~Ce55u^7q-Z`vC;=09yzUX8h-ur
zerhMILH{#c3077;x|QVXrX-wFfQu*3mbSx;9v>ZLVCna1mq`9G!!Tj;K0|tI>9!Ww
zdUD{jFuYmiN9#-YjMSk%0l0F{-W^qN{-Xa17rc+vpsfbJXvSB~0XtIIJC?zRUtRsc
z2G`uk;wgt&1Sd>bU>&VSrw1@=n|$C7_|Ey2L%Fa@-J;?)cuHbp#~t`Nt+oXXeDIa%
z^?R_ZZ_^AVT<fRtIu;iC$wB)U^JS@SxrZjemzuMqe!|Idp`F37lLyVi1$aTQAnZEK
zzrWMv8?2gFD&P;(Z;C4&gP&gcnnCifMVfewz$z-=6@B3Y-22Pl!lnv)p9I2sH<!FR
zVa{{=&U?XlKQy@&X1OQ0ljOhAJ8aYp|Drxp?h5;^e@Ux^3uP4!k$m%%c9U|rd+unv
z6Z}#{An+l4yI0{F$xr<HV`Bl#D<<7x2D?=1b7#R!nG)A8!v4FbeG=d?g+CO0a8aIq
zY9zeC{;gU7HjY)Fybj0Fz078SoBEzp1;T7LPfVEMzI!b<ec|Nn#GH+AC96__JM0*C
z#gqnCQT$KX88%=r$X(fs{?)Htr)}YD-m+%D;aI2nzKie|9frJ5u$z|a&kN*u*>7fF
z;B3A$|MT!UljnH@Fbdr}<b4bI*GcBXaI3wnxemN+7`UkyUgvKJBJW$Qo;g$351W>c
zsF3;DtHM$iZ(w^)E34!1p+_6px?v~k8@xwhm$6TEZSZN%?doK{cf(AnR|mXgB1uo?
zgX`PfVrzmQ^Vc0F^Tpr%I^WX*FV=mY=ZDMMWxVU)cp0}HT=0LBzlEQ}_B{9Bk@q_y
zXg>5*!3#P9KUiVC+*?t#uyLYk<!*RvubaqY__gEbe)7J@2Nk~Aa=2p)M;e*GUbkga
zbTQ1IP*h9i$4}N)o_GY;-25Cs=Et-5#LecybPXPvWWK#Sy+T$2%(K11g3Qm~dU^NB
z`>?|g#Sk*z|CZ#7^#|~d^so~@;OOtkS?Tb9!b~=Eu$t_#3z=|$unGSc_}&RdiX^z+
z{fovF9K-UYDg}1zkl8i?pYaU45C@mmwH_IS-8(s%Z^7fvtc&mAJO0a65%A%i`3&9g
zPm?IuXt<x1qK~|f5^ZYC9108B$E>`B_q8p&z5yTEsOC@J2a$Xc$?Odqh7Dwp_fsq%
zv3B~x*}LS;$@?as^FF$|!4=zc70CM{hIIzj&hWQ+nvLXrlc?=H#y0S+Sf|Mr*yqXZ
z2bOU4^UfS{{tG4-)h@tn{8`6$;QMqhHa9p1JBNLy+y-Clk^UzEKl##fmjia;+x$)t
zo{gumJOG<Ln!L;nJDQwqP=aS}Q4F%cfolFC3b1I%NWgY@+R9Ll+)u|m_MiB{hVpKM
z&l-6@$!myu_6uBhebx64Y?RJVJr2iz+Hou$wzp+2cn_!Uw67ueKl86mEwAAmIUj#=
z|NlAk!>$=Vt#w<j5q?(x;b%SUqjGPp0p6<BmR1R`ua-U~<xLJ-7GD{x^SnB+12*1x
z>vcX{!(MlE03O?7Ve|l2D0@Ni9{zj!?0OnJm{C7U%CiD~sS_#id`RQ{A=v39-)t<r
z+*@Wg3l|=m@rr=Ygg@r|1os{sWD9{C7qThmVcXnti>q+eN_O*CSb8;|+8d_ZbnC$q
zT)sW{lqZ~gA;IQ5%wK!?y93<G;D6#59BHN{eF<Kz^`l#Xb1W5y%waZG^G~GwUP@u&
zG=)DgnHH|XB`b8Tdhj8w{dTk{@AbFlojn8FFtZ+}hCN#D{8ED>zWvy|74FKlJAMMb
zOgH~}GaO%SHhC0|3vVvk2~Y9!@yo%yKkJ;g!>Wk~Iz{2*2jaAM!Qr<*G6};sM{e$9
zf+Gw@st&<-O7s_4;r7{k>s)X~z0Tv^ur+mR)?RpJXv~ENX6fB6!U9Lv_KK0`;jU8*
zz1v`wKtsH?fb#F`bqhK;_^{R!AvlfqD)k09<93tlQCQt}CgBe&j%Rp`WxvoKNSTyc
zf>}8CFRGFF&g0E<aI53y@)NM*9eKNHcv*qv45=T;t{yo$3_JDzWhC{3keMUnJuv45
zNk>1}_@<yzD;y=gQ`iT#8xi?f2h&^bxS0lPoE$w-3LEWGYRQ0QM|<yA!=Kd8>V1Z#
z1_Scb;N_pxduCu?$AnV}utVR~Cx77m1_=iuV7e|ruitQ)W<gUh%vcb^unqOmN21Y5
zzOdnU$=)q++VxyHH(2PX()H8uR?4>Dda%~9?vvVZ#M>_!+OYXXvFBudkGiv6g);nU
zYw?;r%oV4^papk0jWdw;#39G{ztZqp_qpB_xX-%bt}tBlkjsU%Ppm$by79tBW(lIC
zzbsB^V%Gt9d@75X^w<9>O7{4%2k*<NeC=m}1Jd5_{tAnxD7%sN=8ljpvy-sZiBNGe
z9w5|xDtZv6-_&13+OzTOJF?%xTIP3VNqbkXu8raY%pdURC20@$6}g<~gX1$lhLirN
zJv*vqU&A5Jo4LvONT*m@Z8NMeDm!BW*Z-U{eFmG{S7^3^nGasgu7R1YT*65I)a|3M
z)XU)eZ(Xe}!H<4g#FW7LAMYL_<1cLv#bUXz-fG4sXE>`;+2;Yg<6=iEY47V^k7iGY
zL-#jllm4oCGmeWXu=3!d4e9R^33H^0gC!JZR7rnT^3s}CH2hDSiS{z=;HL5YI_z{|
z<44k8mErtBG6Ytv6V4<3T@)v|2Yq2lkG-L!zv^F4=>cz8{;}s~f7t1!x}6Oi7GwA+
z1XeEUd1wjOIfNCEe65=Y{<{FDez&=C174EPPd0#^551tj2H*dyFs=qycc;yU!#t`l
zc}~Dm2EUv_Nxq4xvjqHyzg;T|){~!pA_{X+@^_K*9ew2Y?;z~Fy8MvzpZRi7DDQ`#
zW^uccd|6Y?nO*P`l{xKO@L7x3hne6;hEwlIzR~zaPb%1OU~B1Z*uZD1h63KVe$<`h
z->(%i{k0qa-{$foq`yZvm3MX#zDO~#K*sl|Wjv#2VOf>r&Kx*1aPHj<tQ6H0OZtm`
zU6%D8g@=4DJCXh*Pwhv~hG3>$_l5J}Gk5-(_rRWoI@=z><<zdZUGQ+K?_1Iz#Z*$K
z*#=W7wMW##5l1rm8sP_&OQ)(~Z?UhwwXg%zZ2{8%6|bS+Pz7u7KAR)`Uu(HJmXF|1
z6GrV#FzxB>1;y|tjo_#k@X97r?QGbuc&|O_U;BQnIpID$V52113LBqdmQIBQJ>GBb
zgio>f_$R?#LH|11Vd;RjgE26*R7?Ts@7w<YD@noIJ3kyD`Q}CKC4R7KfhBz}teGyb
z><z2Lm&U$@?b_Op+QMOp5>EZFo;H7o6}<Dp;AL_=?L%uO6}Ue5zq90cnzzjcim<1M
zwKDm>gN5_n#j)W2AI?2MzArJcJ$qtcgSQKO<oj=X$XehC@3_Z9L%#nr+L7~@;6kRZ
z2y%S#wk^_z@cyk7cI0>#Wj}v?xcJ&R0g~UHU2{+ej^w#YTLz!Q@_t(IrSCnjN?->b
z+bt?^wfvvl3i!{J|8;cV@l^eP9Kg+tQbLHzURfa{m5l6=qB1KZ%81C<$SRVRT?kp3
z6-6YYjHs+agvyFSDkRGKy*|G`pO4r3o_p@O_qykN?)83mA60`V%#ALP^+nfM)&(Wl
z|6-gVIo{8|j|9rW_NPZDp2Jrx1q8)mwse<mldw{gS`!x>TOodY8g4%Dk4FIBGvm^-
z0pHJ`>)?{-gqubbX&K;4ksYzT@Fh#F(Jk=nO-#Kz;i!BzUKUuH>$!|DJise6zyn{b
zk**>2YZ@Ck`C$$AAr3M4wmRDa`TY}*;#MnCuURuAD-N5C)IF7gjU86D$ifzp-&e{0
zMkx*$?1d*olg;+R=eI7>sl&cLU&ly&dDWmM`F)c4i`YYouoVZ#H}d<7On3D;Zn)^o
z_9F883#sEdw^-p@Ki5_7z*85K?Ki^X;VV=r@am&w25MNFy*1?lEYa2T;U7D$2PhjX
zis6@@%Kme(ubpLQGhBauAoeT#jz>SP30`v3kRO6QcGuAi!+-Qjb$a08C%Mg}f7Sbn
z9W$+P&_2VUX?V!*g;z6t@3xHkB)spi6n7o`ud!p9^v7z}YR-KMkNkdEOZsEoc9PdE
zg)iwvGI5}v7VDmWnc3v_Z_ad*{##FKT{KgPTc~&xVM_avv?$o&cKa~t2X@WEOf3YS
zOA4&r4-Yj^Tn~ozwJVno!b-2gM#ACFX09is-`JqSn+v2q)5vU|^dsAK!?2lbPvOe5
z`=nnPn_#d}7##3%eTwum+gDFj90O0wmA2Ty!b3?vN&T&<zqAgpN!vF4B>44A(J1MU
zcGV*{CLSL6x5VoPmzVNSll^ZiELtV~)pm~DmrjOtm{#}uz{aj(k(uy<LkVXP{9B}?
zGadfOx8dYfSe$mZcpj`KS|vyNyV2<sU(A71l-Mps!pfL?S`0s$YB41J;f&O>wiLpC
z#v;*)ux}lw(<4~5Wbi!cFW1Z(SMm@Jc0N>)4o?hk*jNcK7UrKVh7HB16G;7Y6_(5g
zu=HW;pH*;{sJB@)+*d8@T@KGBPTsDCFYxAc*T90}2F9)M@s|#kWP7WwFJs!__{;Ar
zpTj@@c{%sMGq+_{Nd0Do6-m;6@8@(=CfS}}tI5|PIAFw6tORBn=q>mJ3&%5bkjH;>
z%s=!CeA?cMB^OT7TGtwdFS^cE+<|ldW(iEfR^1xQ<oHTG;vXmd06X{g-;IS|G1b@4
zz&_%lU!viz?P}Mi;iKcVH$q_w-oevzaFq*V`&Bq9$eiyNJQtYh?h9uzh77F2b!syI
zJmJ?W6lu$FTIs6{XIR*Mrzz=o__NeN!~y>8eT$tAzI0`x)f#4e$1~3a3%(a*wuGG}
zlgmlJ#EpMz%a6n7EizrU!%-Hp2XP{<8XCDxngeG2*fydGo7?#NlYWn-iBA=jV7Cgk
z8qyE)<r-(aDjcCmeOVWt-(|(MA8xS8D$|EUd!Aj^fIrxB#*%)M#pS(Kq~31)SqJGy
zN&QTAn=V`zCtGX*I|=BSX~B8t`zNj72=Cl-vOfpwjhjh-OL?ctC4D&f=L(Gj%)-oU
zVgjF-yFB6ouSM=kHirLt3GuqYDM6R#&0rd#yDMIBQ)r;#Ntlu1_<kRl`%O>$X?Xgh
z=I`t970-`c<}gnTg<Lo+M<eZJ1JBg@Y$5$UoeCwMk^1mvCBt~Q?}q<2M>s;>!L$K3
zaiX0i`%{#Ei=Ff*{jaDx=?JVNMmbOV(|XmU_mjtK^-H?E38peJ2~dN@-Tygv!S}?N
zHynV&HwjC<g%@|eDw2ciHeP4!gR@4me(Zs{R!UoY;FD7338L^~?xuo4m@Y)7PYAZA
zwcSnX5AkR7ZiChPDmRe+td^U-?O0$V?Xeb8KX`f%10y`uAeTD|Q+}p4po6RVBZW!*
z%TUi-f41TIZt0;S{a!6owFc(l%qvo%!|+gQg}@jbtml4~^oJeO409NU-*BzvlKi>u
z1Jf4RI8HH`<cTr<DNV4CO?wl`JrXm+is8oK)l8DJUv_IPfW4ya1;*f_&Ox?hct`Ke
z^-1`JR?(>>SU~Y_Fxj8wziinduuLJh^>;XwZge~tjy!#1m~796^@y}P%)FdaL;BfT
zS8{l`!aTPI{7HT0^EQriaK_-Q**sjmkYr&CH@Av#&%#Ge=u=q0hpUwr7vb<-EQe3Q
z5fpAuNk3iZzLsxBFnwx3;tJd*6D45)pUa(OUxLL87B3%wuR6@mt-<su&#LypDH0;(
zr2gs&H)|QVF=clwHTso@_V3A-g4=U$v8*F!GE1A@2^T0Q{Gdf1f5}3c8%_&+T|(;9
z_HONAf#Y7(M>4|t!|fc*@FVlZBlK|YziTygaI@yL=oUCgNri$Ip89*DnABIe7wP_H
z!}`GH!(m%tZY|sBS@;a+V+JO;rLUuR80J5jJkAO~R=>{m8Rn~?cO=_;D=}-^4!7_6
zra}6#Yf0tjzk!vy&6~;g-nng^t%3*b<+3@6>6`af!VDBHwxs@;gkS$d*gTh&oAiG#
z+WhfMAzZ*XWF`y;jSAL0g5U0VEH4Sm3U;oOdY22w%VglWI?IaZaCp90j1t@zO8Kt_
z{&;h}T^W9UM9cIgT;kPRs0QyzpGa<iJ({CLv|xr^&PLs^bpJVO1Gr#*L&94)Urk%x
z2u^sQ{o@0?d7W?93HaHj&oaI6$=VH8r(kLJozdiY3{+OLorBL`KFHP&%O1%;?g&%7
z@wqqxYljC*UxZoTP?wQ<PY-ujcUaO@W%E}!wQz;<I$TuV^nv6|Qwyp$VE4PrawI=7
znzNJy%S3*EMz+_xl%tpoQ`PgbPr<PRvDWo4_0!ZMa{sSdveFx27Lix9qi`yvo6j3K
zsYXzD2;QG)sr(9FGG3Y?kEf6Mg^DQVF)T0Lzf%eedq=Jd!IQi<RSV#|8J~1@;8tt(
z*i`tnMFyi5%seY19}n-K$;=@0EmD+{yS-ppt))*<@E`92sX%z8QJ1;`K5|C&g)7WE
z_*nfZOwq5){U2PZ{?1_pKAUy={yDfzN<V)LK5)#2?jkH7pwPAn^F|z27H(U^?JD&f
zx4;L-XXi+L|NCQKHDOm44SHi(@xr{Y4qPjyU~2}`E3aQ9^W3dJvX<(@-TV(r$h`Mo
z(v%xbV7k$MwP5%*O>`H@Kk>u|UxS~fdr6X9>!qnu9Gs=%^w<y%{=nv)0MGLsV>$_6
z7wnbFf-lS|#FP6MVM=o)^Jk`cxM#@yhq$lk7QydMg-Mh8nUd!4`|#fP=Oa$TPijT%
z%ixUL@7gR$Zu}>g%)1%0c`RZNb2FR@s)0KnZo6Ou^Uv>oQ3ubw`rUK^etbOo&P&)j
z<2aoo9Gze{*aDxTld*AwebQShI$*7Hk-09gq+HIQxA68|4(pd;kBJRkeQ?BvS~U-N
z{oTY?GH*<p>2{hQoFb(^GYoSFe*5eVQ@Ke?j=_mNFZKn)KQ1TIlX+%qolI8(;8tIU
z8$V!P=Vvl8@SVa=+XYzpJEdn7%<fW`vj`8#_I4z~;+i6XYq0x)?OVy~>4@Q$bu#~b
z<XLTVHhj>?Z{Yv)+;x}fGvUcZPp(bKM}t~z$?KEz(8vM{9Ggs&cMq;O^7%3cEb}+h
zq5^)xV`xm~z4<2fq?f^)uAh9z57#I=A8&&DgWud2gHtV1lj>n=wP6V<_>!iieixi#
ze}Y~f9-A_a?t~rmqh9TYJ0*+Kzrj|V^ttNr_hW5C<M4R}WkGHDm$OOIA6QVLYTW>i
zWq0qJhfn1!1|EYqUj7|LgTKe`>U}KCV4<9ios_U~&3EoIaBrf{5Em?P&2y2=#|uz5
z<Ku*_!qzLv{5*$k(K6)oBjQg~f+w7)e%ph5ess|6G4X?Q{?uR7hD~-fN?(N!=e&G*
z7~aiC;~ovajW>!UpNH1NSx3lxz{PUCb|<*ZRf+XE{7aAd201^-+v}wG6!r}h)nbAj
zKXLA>hvVjJOQqoB?T4(M!6se3t}-xl@s7`Ao_RqSkDxm2*K~l2-2V2O!suam!SZG!
z$qzE~&sh=k-1}My+X(I}Jp<=AuNRP<QJ(LG4=f<Z)K2nq6N&*>;7pO}4l*B|&!F}j
zxn7B@{XSO(H)i(ak?R>szR$lK;F~7Lw>H44!`+-Uu&<s|XA|uDe0BH}e7^efE_Ga=
z9t@JKCG#DbeGJbWg7X4ao5=jgg#zZgIk3Tb-7GSX{C!3La3(z5nj=K!RR$R`Q*^_u
z!z+|zp5?x_PPMo2DJQ)qK6v1lwecieEn1i<3Xe^5Buv1c?Ns?C;q*H@bQWQ4{p>Y4
zn1}0a_-}aZi)N4#9K-Zhg%;~2hQEs}55W;z0)nXE12k9D)nHS~l>tWhapkL)3ouoD
zz1=_DemQUSx+7frT$gbUX6{zDy$B2C4C()b)3%%NyTG@^9B0Y?giQY(@P+$xBRxl8
z4F={^Z`de&8&^NPv&70P5EkUivFL?G1wG{bVM}XC$__Z?Qq9&7*eU#}dMiAy^6qUg
zY|o?dtpQ$_XMb=5F8S0d_5yxrqAE`6vp0`;mcS=H1Lz`QH+#p5`|#uDgl1CjNHK4b
z3sc9mXUD*vQ~#xB!DULLXQN@U&r}*IaA_fjN+RrM5gKv}t|<~<jf21EGw;3$J2hGM
zC&M96W1S-5_#>ewNxj91{0d)~GNwfC4(z`!wDcd$%ic6c>OUQQlztI5pq%Qs3+qHn
z4mrb}L#xs0u)Shch#g$(!E+%O=BATtJ`3L~loiW{e=<CGGK0+~jA#qt-_8mTPQdp)
zY?|`mpjQpY3}G=dzsv`4Z=GVIKK$)q^yy-l)1zsh2CUGQwf`~Pu%h6n3fs|_{VRd1
z8Jc*>`qZ^UjlC6crSM)Gd04o+JE<H#7gbLu3GXNya<3-!2c&g(!*Urv_mKIyyOwKy
z@WFH<i<@4+ohqVxc;MUTH?-Bl<E9nw*<rmq3<XW_4+$O)HrQ02)1d*bN_$X4)_Z2Q
zaA>@S`RLfz=wWY4Au2M@H?1=}hXVc^!t=Quwrk%ozKZuBU57+^D;)D9DPjTk_{Z<l
z1y=<wwvzQA`a9A}Z{eiB*WIV!b8dWWeX!uJiN{~zYmSoLJ#gu-%csctQ11j+$sn9t
z(3SEL4pb0!?T0^i+Z^hF+pM<e4Z{a{YJ=Xv)U;d-WL~jwj)CxN*zo<@moM<o;Cl{a
z{fM)NK6exjwpL&w>qqtmlYx_P?b}GhYPcz9PUS1SM7#6%V|aUW2iFfcXQP`uSx?&H
z+1Eb}N2X8?=ELrXN}kNY_hgUlxCc{dR(k$|mA8MXPlGR2MI2p(TQp^<$$CvTd;FFK
zm^QSjAPyGUdv<ymrq^Vix(RQ(>~@~iE56z*A3$8Aq`3w!@CJJM!HsuSX;$EIyRADs
z;E@=bVJggj<~266a)W0wme0}=v&gcL^{TashJ$22H1k!@<79h`!HogTu>HX22iIZi
z$-mhQaOK5x=Wy7iXWgFU-B$+vvf-Esi3pNQmZm6^$LI59zX8b$t9x|G@iWal?N0Jd
z(ed>4@ctf`c_#RPs%<TKKJ2O@ILQ9k6!Bak&)30|c>^R5dwL>r2A&<STH63uykOD$
z1rOc&Tu*YVb}cgoyuN5Uzm1bT*@KF66U>{yUP$t`067sMIL(uzo#d>IKgLDiRei%)
zl8?6Sz*l$pKDAe~oa9O+eP!hR)_TWPVI%yi;;y3!e8uRrISu?t#!Q5)FXvo}_(%^|
z$MJr2fNPW99ub87I(Lp(!ZO=SH}b<mk#*O}?Zd*JeHDdeHU6|1!}&HTdBSk=$=fcv
zu&dL(IUP8}I<Ra%ta8`qkrqrlB4|d|o10Z^H7#I;uJ9e=@bnuQ8Z%hrsZ0Yu{QV?#
zvI{)>)Hjr@KVLo2cESm^pb`>iflo5u-RuJ^25LPZ$A`P!uH6eR6P`Op17~T7hlapA
zztX*5!|~1eFr#r5e)7HC_YX|{u9YVoPRp;Zo`(&u8mE)`=*n$$WAIXrs81y9wvk(B
z7~Wi7`sX_A@8OxyNxUA^6%C&{<K5E+CpdO*CiB|k{I9$$gB`6>r$~;0pc@{+OC@Iu
z$@Xs4iQg}PA1bG}llxnf6mcT!jVfOpqsacfka@>U)+5*YcRP~(%W3H~CZGRj%Nxc?
zeSi1vbh3V$+wEUZwpU3d{h6$v`qAhGk$Uls{nyBPY;o-q#oMs=u727;c&<6%Pa-@U
z5>o61kDrn5x&zyt5Bg5tPXY~#u_<trs6@OIEJ>T|oC)V;3U!n9AkIpPLXxwLiZmI)
zR=GJLB#&6)r8R&DmzAl~V0K@xqh!5jkfrZaHk>5p8n+KV>!8X-@)yp|S9#%=qTLH5
zzw^wtaVIRBz5hZKT>occ{~MgImBg26CcxtK<5$RfOW|&h#+&dbXNgx8aJv%4H*&oD
zk4l79!JD+l^Fm4fuU+C1thjoqH2_|4cs*SP^JQr3`ohM=^olvK`DD3ZFx;xM#XA#L
z756<$a(}7sj$!auE4J$%@SfmNkqG$t!`TLB_`~4}PO|=@y=Ig_@?VsVX5@VHX}YGB
zJ6x7xy>1V;+`6me4F^m)s*?4W7R$&AQtz=VGx8WLYojnowkO<}pl1s23zJE`0QZ<k
z{yGAe@BLI~3s+s;Q9{;ZTxe%}PQj7<Ow&Se*Wg~$({SHr0SN(k>+F$ulAENA>|liP
zMT`r{>jf6A$a)D+#ocLh*e-~tket6;+VnM_g`elhO_B5W8!aQDq+YqFC1x5vm!@@q
zy#I#Ze%(3&OEA2dC)+<8w)G3SUZ&nR)<NpcBZP#KVR3(r))TPSRoiNEy^JR&&k7C~
z^<E*@U&lvs$4DNP#y?{YcTE=5k$h%YLFyFAi#_%og^NoAw+O@U(gLh?;iCrj9ip)O
zxAz|p!(seh+d1J{iZ7HZu%E_>4_t8dJ?)@<@J$OF0Y+FYX0L@RJa#z5jt&;McaDqH
zuODM%TxZ4kj*`&=*&g#-G5r-dGcTxI9Zpjy{WTB&_r)%T+`qeayUZ;7RqGX#CY-@J
zaAg>#D82VhAGT;%sQm;7vZx7@oO|W^!zP$UbQ|Rnctj)nXFVJ>9~7t!n_RfB{0R2k
zYiMo=Q|mYTJ%lr@Lbj87oiqA;d9b7vTc;WPv(GCh6An79ee)z-rnjn-42$k!JZ}v@
z9N8R^1V4L}mq+sN2eN#x!0bEE1e5%a`{QaKSjay~)e@#Tpmf$99*)=JCa<rrG}_r{
z1gg5E7dUVRHWX>sJ_m2#xaWxjOc&CB!xmQIw)3=yyVg!iS-?KqtHsFc`LU~8sVV%6
z>iai0_>b0-sR6u2Exz$TSjc?kmL8mOwc+YzxH%%^fI7U#$<FEu+$D3}{}BA1CUFOO
z|8+jwET9N~x-GL91ix5dvfB%1ho7kkfI0haF-X8&l5tK^a42<jq%h3zw`O+)d`g`|
zW)~cLcw~tD{Sz*yEaQX^Pcqz1f-fD7KE(_RcHHtIe~%v61*9;+G_7??sj#sb;~`qu
z*<7173-+V@8%PEFm$-Iiz}|+TLjPE>empsM{~nwW;eKure#@mUPU@XSBOXn_PlKM*
z7Qm^io^xX`Q|bW?lDAEAjJ<)+KPcTvayct1{HFlUZ$BtlkUUZ|o2>-in35$=a-ow^
zruX53L+fQZ@DHub%scQC3EP`RaQf_xkz}}jVWE}e2_FQz0^!iuqj@C%kB^DfAAWJ+
z`xwbD(&SOw!N<!E){#7PI{NTgI4@&#ndDw?1mtyK{-oW#B(F8v=%opJ#(iMTg;REC
zoRffm%X9o7`DVk=d@)#3qeGnJErQ#Unc?On>J7!P)5P)zCRnIDI3y2F=Aji_-HP7}
zA1k$f0Gs+w+5LlsRz1>4zRSqVbOcV_o#I9EO*$60KEqrS_T?mx<ot5|CH%8K_$JA-
WN?x@zz!uUi2IT&v_4Qqz!T$r7BpqJ>

literal 0
HcmV?d00001

diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Shapefiles/07DA001_basin.shx b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Shapefiles/07DA001_basin.shx
new file mode 100644
index 0000000000000000000000000000000000000000..bf59e75f461832991d827b738093ce5fb88ac825
GIT binary patch
literal 108
zcmZQzQ0HR64$NLKGcd3M<)VMbPs}_Ld%*jTvR|TrmxF$z;Hre1Q3p2uea^G?vyTII
M?I@x~3_Ljr0P6e_FaQ7m

literal 0
HcmV?d00001


From b2551a477238f150e4965092fbd8e6a821c57154 Mon Sep 17 00:00:00 2001
From: Maxime <mxdebekker@gmail.com>
Date: Thu, 4 Jun 2026 10:19:20 +0200
Subject: [PATCH 11/24] Minor adjustments

Minor adjustments

File renaming

From now on will work in another location
---
 .../Calibration file deletion.ipynb           |  135 +
 .../Step2_Calibration_trial.ipynb             | 4767 +++++++++
 .../Step2_Trial_model_LAR.ipynb               |  867 ++
 .../Step1_CMIP6_Forcings_Generation.ipynb     |  703 ++
 Workyard/Step1_ERA5_Forcings_Generation.ipynb |  911 ++
 Workyard/Step2_Algorithm_Ice.ipynb            |  913 ++
 Workyard/Step3_Calibration_HBV.ipynb          | 9072 +++++++++++++++++
 Workyard/Step4_HBV_Validation_Ensemble.ipynb  | 1107 ++
 Workyard/Step5_QDM_Experiment3.ipynb          | 2057 ++++
 Workyard/Step6_CMIP_History.ipynb             | 1756 ++++
 Workyard/Step7_CMIP_Projections.ipynb         |  489 +
 11 files changed, 22777 insertions(+)
 create mode 100644 Workyard/Bonus trial notebooks/Calibration file deletion.ipynb
 create mode 100644 Workyard/Bonus trial notebooks/Step2_Calibration_trial.ipynb
 create mode 100644 Workyard/Bonus trial notebooks/Step2_Trial_model_LAR.ipynb
 create mode 100644 Workyard/Step1_CMIP6_Forcings_Generation.ipynb
 create mode 100644 Workyard/Step1_ERA5_Forcings_Generation.ipynb
 create mode 100644 Workyard/Step2_Algorithm_Ice.ipynb
 create mode 100644 Workyard/Step3_Calibration_HBV.ipynb
 create mode 100644 Workyard/Step4_HBV_Validation_Ensemble.ipynb
 create mode 100644 Workyard/Step5_QDM_Experiment3.ipynb
 create mode 100644 Workyard/Step6_CMIP_History.ipynb
 create mode 100644 Workyard/Step7_CMIP_Projections.ipynb

diff --git a/Workyard/Bonus trial notebooks/Calibration file deletion.ipynb b/Workyard/Bonus trial notebooks/Calibration file deletion.ipynb
new file mode 100644
index 00000000..4c358f2b
--- /dev/null
+++ b/Workyard/Bonus trial notebooks/Calibration file deletion.ipynb	
@@ -0,0 +1,135 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "180f6063-930f-49dd-86b3-9bab1c4d82af",
+   "metadata": {},
+   "source": [
+    "## Startup"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "5037dc08-d28b-4299-b220-454411e406a4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General python\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\", category=UserWarning)\n",
+    "\n",
+    "import numpy as np\n",
+    "from pathlib import Path\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import xarray as xr\n",
+    "\n",
+    "# Niceties\n",
+    "from rich import print\n",
+    "\n",
+    "from ipywidgets import IntProgress\n",
+    "from IPython.display import display\n",
+    "import shutil"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "c2bdabd1-470a-450e-bbd2-5a49b57e18f6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General eWaterCycle\n",
+    "import ewatercycle\n",
+    "import ewatercycle.models\n",
+    "import ewatercycle.forcing"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "6acd5b8a-f2fb-45ee-8b14-aa0c7f14ad04",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #00ff00; text-decoration-color: #00ff00; font-style: italic\">True</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[3;92mTrue\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "[PosixPath('/home/maxime/BEP-maxime/Workyard/calibration_temp/test .txt'),\n",
+       " PosixPath('/home/maxime/BEP-maxime/Workyard/calibration_temp/.ipynb_checkpoints')]"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "calibration_temp = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"calibration_temp\"\n",
+    "\n",
+    "print(calibration_temp.exists())\n",
+    "\n",
+    "list(calibration_temp.iterdir())[:10]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "03635a99-3dbb-4216-b27e-bfdc27f8ed21",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# if calibration_temp.exists() and calibration_temp.is_dir():\n",
+    "#     for item in calibration_temp.iterdir():\n",
+    "#         if item.is_dir():\n",
+    "#             shutil.rmtree(item)\n",
+    "#         else:\n",
+    "#             item.unlink()\n",
+    "# else:\n",
+    "#     print(\"Folder does not exist or is not a folder.\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "14ad44ce-1fcf-4b6c-9525-9e5e49d04e34",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/Workyard/Bonus trial notebooks/Step2_Calibration_trial.ipynb b/Workyard/Bonus trial notebooks/Step2_Calibration_trial.ipynb
new file mode 100644
index 00000000..f19a8b8f
--- /dev/null
+++ b/Workyard/Bonus trial notebooks/Step2_Calibration_trial.ipynb	
@@ -0,0 +1,4767 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "fbc7f454-3d60-492d-aa6c-0ce21a0dfc77",
+   "metadata": {},
+   "source": [
+    "## Startup\n",
+    "\n",
+    "\n",
+    "80/20 rule:\n",
+    "80% calibration (2000-2020)\n",
+    "20% validation (2020-2025)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "95a06f73-282f-4c7c-8333-f002e73e205a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General python\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\", category=UserWarning)\n",
+    "\n",
+    "import numpy as np\n",
+    "from pathlib import Path\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import xarray as xr\n",
+    "\n",
+    "# Niceties\n",
+    "from rich import print\n",
+    "\n",
+    "from ipywidgets import IntProgress\n",
+    "from IPython.display import display"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "8b61a012-64eb-48b2-ba78-f641a1a581a3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General eWaterCycle\n",
+    "import ewatercycle\n",
+    "import ewatercycle.models\n",
+    "import ewatercycle.forcing"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a860a623-f634-4b50-822c-51e09ab4e594",
+   "metadata": {},
+   "source": [
+    "### Defining variables & pathways"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "7d407089-bbfc-40d7-983f-efbc4a7ccaf5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Naming region \n",
+    "\n",
+    "hysets_id = \"hysets_07DA001\"\n",
+    "basin_size = 132572"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "970798cd-b737-44f3-8edd-de3352b86efd",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Choosing time period\n",
+    "\n",
+    "experiment_start_date = \"2000-01-01T00:00:00Z\"\n",
+    "experiment_end_date = \"2005-12-31T00:00:00Z\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "c3b02d32-4be2-47a7-8935-8284af182d66",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create pathways for ERA 5 forcings\n",
+    "\n",
+    "forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcing_trial\" / hysets_id / \"ERA5\"\n",
+    "forcing_path_ERA5.mkdir(exist_ok=True, parents=True)\n",
+    "\n",
+    "discharge_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
+    "\n",
+    "shape_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "\n",
+    "calibration_temp = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"calibration_temp\"\n",
+    "calibration_temp.mkdir(parents=True, exist_ok=True)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fd4ec71b-d4f6-4a1c-be9a-f8d3b89059d1",
+   "metadata": {},
+   "source": [
+    "### Load & prepare discharge data "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "d590f365-72ad-4473-9996-88820ea52c18",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load CSV discharge 07DA001\n",
+    "\n",
+    "q_obs = pd.read_csv(discharge_file, skiprows=1)\n",
+    "q_obs = q_obs[[\"Date\", \"Value\"]].copy()\n",
+    "q_obs[\"Date\"] = pd.to_datetime(q_obs[\"Date\"])\n",
+    "q_obs = q_obs.rename(columns={\"Value\": \"discharge_m3s\"})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "1cec4b74-037a-4d48-8769-e0b57a7683aa",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Filter q_obs to start & end date\n",
+    "\n",
+    "start_date = pd.to_datetime(experiment_start_date.replace(\"Z\", \"\"))\n",
+    "end_date = pd.to_datetime(experiment_end_date.replace(\"Z\", \"\"))\n",
+    "\n",
+    "q_obs = q_obs[(q_obs[\"Date\"] >= start_date) & (q_obs[\"Date\"] <= end_date)].copy()\n",
+    "\n",
+    "observed_output = pd.Series(data=q_obs[\"discharge_m3s\"].to_numpy(), name=\"Observed discharge\", index=q_obs[\"Date\"])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a7c47f7f-18ff-4441-b1d4-975e46e1719b",
+   "metadata": {},
+   "source": [
+    "### Generate ERA5 data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "eb582ebf-8fbc-4542-b785-cee2f332bdd5",
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "NameError",
+     "evalue": "name 'ewatercycle' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[1], line 3\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;66;03m# Generate ERA5 data\u001b[39;00m\n\u001b[0;32m----> 3\u001b[0m ERA5_forcing \u001b[38;5;241m=\u001b[39m \u001b[43mewatercycle\u001b[49m\u001b[38;5;241m.\u001b[39mforcing\u001b[38;5;241m.\u001b[39msources[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mLumpedMakkinkForcing\u001b[39m\u001b[38;5;124m'\u001b[39m]\u001b[38;5;241m.\u001b[39mgenerate(\n\u001b[1;32m      4\u001b[0m     dataset\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mERA5\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m      5\u001b[0m     start_time\u001b[38;5;241m=\u001b[39mexperiment_start_date,\n\u001b[1;32m      6\u001b[0m     end_time\u001b[38;5;241m=\u001b[39mexperiment_end_date,\n\u001b[1;32m      7\u001b[0m     shape\u001b[38;5;241m=\u001b[39mshape_file,\n\u001b[1;32m      8\u001b[0m )\n",
+      "\u001b[0;31mNameError\u001b[0m: name 'ewatercycle' is not defined"
+     ]
+    }
+   ],
+   "source": [
+    "# Generate ERA5 data\n",
+    "\n",
+    "ERA5_forcing = ewatercycle.forcing.sources['LumpedMakkinkForcing'].generate(\n",
+    "    dataset=\"ERA5\",\n",
+    "    start_time=experiment_start_date,\n",
+    "    end_time=experiment_end_date,\n",
+    "    shape=shape_file,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6fc290da-fa08-48f0-83e3-a39e8f5c36ef",
+   "metadata": {},
+   "source": [
+    "## Calibration Methods"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9b95e67e-780e-4a4d-a2f1-4cf9de2b0512",
+   "metadata": {},
+   "source": [
+    "### Method 1: RMSE"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "id": "3da0e944-b4bf-49c6-a986-a94fc14e0bfe",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def RMSE(sim, obs):\n",
+    "    sim = sim.to_numpy()\n",
+    "    obs = obs.to_numpy()\n",
+    "\n",
+    "    return np.sqrt(np.mean((obs - sim)) ** 2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ba51d28d-1fdb-46af-8f8e-5dcf904aba7f",
+   "metadata": {},
+   "source": [
+    "### Method 2: NSE"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "id": "9ff8dc21-0959-49a4-9d4b-496726c90f88",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def NSE(sim, obs):\n",
+    "    sim = sim.to_numpy()\n",
+    "    obs = obs.to_numpy()\n",
+    "\n",
+    "    return 1 - np.sum((obs - sim) ** 2) / np.sum((obs - np.mean(obs)) ** 2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "93f96591-ceb4-4671-9a48-04a0ddbfaf5a",
+   "metadata": {},
+   "source": [
+    "### Method 3: Log_NSE"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "826cfb65-21ba-4901-aafe-37738913c0ee",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def log_NSE(sim, obs):\n",
+    "    sim = sim.to_numpy()\n",
+    "    obs = obs.to_numpy()\n",
+    "\n",
+    "    # Avoid log(0)\n",
+    "    eps = 0.00000000001\n",
+    "\n",
+    "    log_sim = np.log(sim + eps)\n",
+    "    log_obs = np.log(obs + eps)\n",
+    "\n",
+    "    return 1 - np.sum((log_obs - log_sim) ** 2) / np.sum((log_obs - np.mean(log_obs)) ** 2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "645d5bb0-de70-4b97-9aa0-93094c91ebe6",
+   "metadata": {},
+   "source": [
+    "## Calibration start"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "0f58e61f-7178-44f8-8e5e-e1fa402813c9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create function to run the model\n",
+    "\n",
+    "def run_hbv(parameters, initial_storages, forcing):\n",
+    "\n",
+    "    # Create model object\n",
+    "    model = ewatercycle.models.HBV(forcing=forcing)\n",
+    "\n",
+    "    # Create config file\n",
+    "    config_file, _ = model.setup(\n",
+    "        parameters=parameters,\n",
+    "        initial_storages=initial_storages,\n",
+    "        cfg_dir=calibration_temp\n",
+    "    )\n",
+    "\n",
+    "    # Initialising model\n",
+    "    model.initialize(config_file)\n",
+    "\n",
+    "    # Define & update outputs \n",
+    "    Q_m = []\n",
+    "    time = []\n",
+    "\n",
+    "    while model.time < model.end_time:\n",
+    "        model.update()\n",
+    "        Q_m.append(model.get_value(\"Q\")[0])\n",
+    "        time.append(pd.Timestamp(model.time_as_datetime))\n",
+    "\n",
+    "    model.finalize()\n",
+    "\n",
+    "    # Convert mm/day to m3/s\n",
+    "    model_output_mmday = pd.Series(\n",
+    "        data=Q_m, \n",
+    "        index=time, \n",
+    "        name=\"Modelled discharge\"\n",
+    "    )\n",
+    "    model_output_m3s = model_output_mmday * basin_size * 1000 / 86400\n",
+    "\n",
+    "    return model_output_m3s"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "210b14c5-80b4-4b84-9e1d-09d2c0968c23",
+   "metadata": {},
+   "source": [
+    "### Define Parameters & Storages"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "id": "42429a8f-42c3-4864-b351-cb8e80404a5b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">[</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7.04132074e+00</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3.86890731e-01</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2.00329377e+02</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.57156950e+00</span>\n",
+       " <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2.93221286e-01</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">8.51057360e+00</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3.11747433e-01</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2.11115492e-02</span>\n",
+       " <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">9.50756202e-01</span><span style=\"font-weight: bold\">]</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1m[\u001b[0m\u001b[1;36m7.04132074e+00\u001b[0m \u001b[1;36m3.86890731e-01\u001b[0m \u001b[1;36m2.00329377e+02\u001b[0m \u001b[1;36m1.57156950e+00\u001b[0m\n",
+       " \u001b[1;36m2.93221286e-01\u001b[0m \u001b[1;36m8.51057360e+00\u001b[0m \u001b[1;36m3.11747433e-01\u001b[0m \u001b[1;36m2.11115492e-02\u001b[0m\n",
+       " \u001b[1;36m9.50756202e-01\u001b[0m\u001b[1m]\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Define initial storages\n",
+    "#               Si,  Su, Sf, Ss, Sp\n",
+    "s_0 = np.array([0,  100,  0,  5,  0])\n",
+    "\n",
+    "# # Define parameters\n",
+    "# par_names = [\"Imax\",\n",
+    "#                \"Ce\",\n",
+    "#                \"Sumax\",\n",
+    "#                \"Beta\",\n",
+    "#                \"Pmax\",\n",
+    "#                \"Tlag\",\n",
+    "#                \"Kf\",\n",
+    "#                \"Ks\",\n",
+    "#                \"FM\"\n",
+    "#                ]\n",
+    "# p_min = np.array([0,   0.1,  10,  0.1, 0.001, 0,   0.001, 0.0001, 0.01])\n",
+    "# p_max = np.array([10,  2.0, 500,  5.0, 0.3,   10,  0.1,   0.01,   0.5])\n",
+    "\n",
+    "# Define parameters\n",
+    "parameter_ranges = {\n",
+    "    \"Imax\":  (2.5, 8.5),            # Maximum interception storage\n",
+    "    \"Ce\":    (0.38, 0.5),       # Evaporation correction factor\n",
+    "    \"Sumax\": (140, 275),         # Maximum soil moisture storage\n",
+    "    \"Beta\":  (1.5, 2.3),          # Soil runoff parameter\n",
+    "    \"Pmax\":  (0.2, 1.4),            # Maximum percolation rate\n",
+    "    \"Tlag\":  (5.8, 8.7),           # Time lag\n",
+    "    \"Kf\":    (0.02, 0.35),       # Fast reservoir recession coefficient\n",
+    "    \"Ks\":    (0.001, 0.1),     # Slow reservoir recession coefficient\n",
+    "    \"FM\":    (0.35, 1),          # Snowmelt factor\n",
+    "}\n",
+    "\n",
+    "# parameter_ranges = {\n",
+    "#     \"Imax\":  (3, 8.5),\n",
+    "#     \"Ce\":    (0.35, 0.48),\n",
+    "#     \"Sumax\": (140, 280),\n",
+    "#     \"Beta\":  (1.5, 2.2),\n",
+    "#     \"Pmax\":  (0.15, 1.2),\n",
+    "#     \"Tlag\":  (6, 9),\n",
+    "#     \"Kf\":    (0.04, 0.30),\n",
+    "#     \"Ks\":    (0.025, 0.07),\n",
+    "#     \"FM\":    (0.35, 1.1),\n",
+    "# }\n",
+    "\n",
+    "# Convert to arrays\n",
+    "parameter_names = list(parameter_ranges.keys())\n",
+    "\n",
+    "p_min = np.array([parameter_ranges[name][0] for name in parameter_names])\n",
+    "p_max = np.array([parameter_ranges[name][1] for name in parameter_names])\n",
+    "\n",
+    "# Create samples\n",
+    "N = 300\n",
+    "par_samples = np.random.rand(N, len(parameter_ranges))                  # Generates values between 0-1\n",
+    "parameter_sets = p_min + par_samples * (p_max - p_min)                  # Fits value to parameter range\n",
+    "\n",
+    "print(parameter_sets[:][0])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1e93b5d4-0a92-4d09-b135-07101e614d9e",
+   "metadata": {},
+   "source": [
+    "## LoopdiLoop"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "id": "577e23e5-8db6-45a1-b91b-aae3a46b6c12",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "d5d2bf84579442978bea3ee6ec8bd1a0",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "IntProgress(value=0, max=300)"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m1\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m2\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m3\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m4\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m5\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m6\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m7\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">8</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m8\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">9</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m9\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">10</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m10\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">11</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m11\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">12</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m12\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">13</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m13\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">14</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m14\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">15</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m15\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">16</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m16\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">17</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m17\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">18</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m18\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">19</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m19\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">20</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m20\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">21</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m21\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">22</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m22\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">23</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m23\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">24</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m24\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">25</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m25\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">26</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m26\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">27</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m27\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">28</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m28\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">29</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m29\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">30</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m30\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">31</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m31\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">32</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m32\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">33</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m33\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">34</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m34\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">35</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m35\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">36</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m36\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">37</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m37\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">38</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m38\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">39</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m39\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">40</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m40\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">41</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m41\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">42</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m42\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">43</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m43\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">44</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m44\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">45</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m45\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">46</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m46\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">47</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m47\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">48</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m48\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">49</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m49\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">50</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m50\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">51</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m51\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">52</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m52\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">53</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m53\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">54</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m54\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">55</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m55\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">56</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m56\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">57</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m57\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">58</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m58\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">59</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m59\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">60</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m60\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">61</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m61\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">62</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m62\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">63</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m63\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">64</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m64\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">65</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m65\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">66</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m66\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">67</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m67\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">68</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m68\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">69</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m69\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">70</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m70\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">71</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m71\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">72</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m72\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">73</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m73\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">74</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m74\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">75</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m75\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">76</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m76\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">77</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m77\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">78</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m78\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">79</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m79\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">80</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m80\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">81</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m81\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">82</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m82\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">83</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m83\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">84</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m84\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">85</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m85\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">86</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m86\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">87</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m87\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">88</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m88\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">89</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m89\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">90</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m90\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">91</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m91\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">92</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m92\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">93</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m93\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">94</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m94\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">95</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m95\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">96</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m96\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">97</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m97\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">98</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m98\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">99</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m99\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">100</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m100\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">101</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m101\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">102</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m102\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">103</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m103\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">104</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m104\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">105</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m105\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">106</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m106\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">107</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m107\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">108</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m108\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">109</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m109\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">110</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m110\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">111</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m111\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">112</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m112\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">113</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m113\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">114</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m114\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">115</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m115\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">116</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m116\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">117</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m117\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">118</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m118\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">119</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m119\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">120</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m120\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">121</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m121\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">122</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m122\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">123</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m123\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">124</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m124\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">125</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m125\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">126</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m126\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">127</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m127\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">128</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m128\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">129</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m129\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">130</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m130\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">131</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m131\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">132</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m132\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">133</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m133\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">134</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m134\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">135</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m135\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">136</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m136\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">137</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m137\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">138</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m138\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">139</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m139\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">140</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m140\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">141</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m141\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">142</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m142\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">143</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m143\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">144</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m144\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">145</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m145\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">146</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m146\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">147</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m147\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">148</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m148\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">149</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m149\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">150</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m150\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">151</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m151\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">152</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m152\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">153</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m153\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">154</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m154\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">155</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m155\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">156</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m156\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">157</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m157\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">158</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m158\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">159</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m159\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">160</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m160\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">161</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m161\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">162</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m162\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">163</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m163\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">164</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m164\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">165</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m165\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">166</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m166\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">167</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m167\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">168</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m168\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">169</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m169\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">170</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m170\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">171</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m171\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">172</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m172\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">173</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m173\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">174</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m174\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">175</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m175\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">176</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m176\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">177</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m177\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">178</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m178\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">179</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m179\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">180</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m180\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">181</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m181\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">182</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m182\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">183</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m183\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">184</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m184\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">185</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m185\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">186</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m186\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">187</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m187\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">188</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m188\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">189</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m189\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">190</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m190\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">191</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m191\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">192</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m192\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">193</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m193\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">194</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m194\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">195</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m195\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">196</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m196\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">197</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m197\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">198</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m198\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">199</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m199\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">200</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m200\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">201</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m201\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">202</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m202\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">203</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m203\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">204</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m204\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">205</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m205\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">206</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m206\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">207</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m207\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">208</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m208\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">209</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m209\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">210</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m210\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">211</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m211\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">212</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m212\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">213</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m213\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">214</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m214\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">215</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m215\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">216</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m216\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">217</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m217\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">218</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m218\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">219</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m219\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">220</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m220\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">221</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m221\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">222</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m222\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">223</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m223\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">224</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m224\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">225</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m225\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">226</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m226\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">227</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m227\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">228</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m228\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">229</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m229\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">230</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m230\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">231</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m231\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">232</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m232\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">233</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m233\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">234</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m234\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">235</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m235\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">236</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m236\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">237</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m237\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">238</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m238\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">239</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m239\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">240</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m240\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">241</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m241\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">242</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m242\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">243</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m243\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">244</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m244\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">245</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m245\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">246</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m246\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">247</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m247\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">248</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m248\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">249</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m249\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">250</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m250\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">251</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m251\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">252</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m252\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">253</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m253\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">254</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m254\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">255</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m255\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">256</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m256\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">257</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m257\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">258</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m258\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">259</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m259\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">260</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m260\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">261</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m261\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">262</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m262\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">263</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m263\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">264</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m264\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">265</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m265\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">266</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m266\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">267</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m267\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">268</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m268\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">269</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m269\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">270</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m270\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">271</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m271\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">272</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m272\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">273</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m273\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">274</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m274\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">275</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m275\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">276</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m276\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">277</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m277\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">278</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m278\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">279</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m279\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">280</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m280\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">281</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m281\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">282</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m282\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">283</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m283\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">284</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m284\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">285</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m285\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">286</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m286\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">287</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m287\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">288</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m288\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">289</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m289\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">290</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m290\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">291</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m291\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">292</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m292\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">293</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m293\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">294</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m294\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">295</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m295\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">296</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m296\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">297</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m297\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">298</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m298\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">299</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m299\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m300\u001b[0m/\u001b[1;36m300\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "results = []\n",
+    "\n",
+    "# Progress bar for visualization\n",
+    "f = IntProgress(min=0, max=N)\n",
+    "display(f)\n",
+    "\n",
+    "for i in range(N):\n",
+    "    print(f\"Running parameter set {i+1}/{N}\")\n",
+    "\n",
+    "    simulated = run_hbv(\n",
+    "        parameters=parameter_sets[i], \n",
+    "        initial_storages=s_0, \n",
+    "        forcing=ERA5_forcing\n",
+    "    )\n",
+    "\n",
+    "    # Filter data by day only, not by day & time to prevent alignment issues\n",
+    "    simulated_daily = simulated\n",
+    "    observed_daily = observed_output\n",
+    "\n",
+    "    simulated_daily.index = pd.to_datetime(simulated_daily.index).tz_localize(None).normalize()\n",
+    "    observed_daily.index = pd.to_datetime(observed_daily.index).tz_localize(None).normalize()\n",
+    "    \n",
+    "    # Align simulated and observed data\n",
+    "    combined_data = pd.DataFrame(\n",
+    "        {\"Modelled discharge\": simulated_daily, \n",
+    "        \"Observed discharge\": observed_daily}\n",
+    "    ).dropna()\n",
+    "\n",
+    "    # Skip first year as warm-up\n",
+    "    combined_data = combined_data[combined_data.index >= \"2001-01-01\"]\n",
+    "    \n",
+    "    # Append results\n",
+    "    if combined_data.empty:\n",
+    "        print(f\"No overlapping data for parameter set {i+1}\")\n",
+    "        nse = np.nan\n",
+    "        log_nse = np.nan\n",
+    "    else:\n",
+    "        nse = NSE(\n",
+    "            combined_data[\"Modelled discharge\"], \n",
+    "            combined_data[\"Observed discharge\"]\n",
+    "        )\n",
+    "        log_nse = log_NSE(\n",
+    "            combined_data[\"Modelled discharge\"], \n",
+    "            combined_data[\"Observed discharge\"]\n",
+    "        )\n",
+    "        \n",
+    "    results.append({\n",
+    "        \"run\": i,\n",
+    "        \"NSE\": nse,\n",
+    "        \"log_NSE\": log_nse,\n",
+    "        \"parameters\": parameter_sets[i]\n",
+    "    })"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2d7b5f35-f872-4ef5-8ced-c92cdd81c8f8",
+   "metadata": {},
+   "source": [
+    "### Display results"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "id": "4c69f827-adda-4ec9-8863-abf0ba31e0d2",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">     run       NSE   log_NSE\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0</span>      <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.439754</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.709099</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>      <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.699835</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.776052</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>      <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.782790</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.795898</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>      <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.408743</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.376669</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>      <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.382206</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.721494</span>\n",
+       "..   <span style=\"color: #808000; text-decoration-color: #808000\">...</span>       <span style=\"color: #808000; text-decoration-color: #808000\">...</span>       <span style=\"color: #808000; text-decoration-color: #808000\">...</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">295</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">295</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.705821</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.809451</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">296</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">296</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.666569</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.698280</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">297</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">297</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.481626</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.689337</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">298</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">298</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.472785</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.363001</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">299</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">299</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.230548</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.231731</span>\n",
+       "\n",
+       "<span style=\"font-weight: bold\">[</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span> rows x <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span> columns<span style=\"font-weight: bold\">]</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "     run       NSE   log_NSE\n",
+       "\u001b[1;36m0\u001b[0m      \u001b[1;36m0\u001b[0m  \u001b[1;36m0.439754\u001b[0m  \u001b[1;36m0.709099\u001b[0m\n",
+       "\u001b[1;36m1\u001b[0m      \u001b[1;36m1\u001b[0m  \u001b[1;36m0.699835\u001b[0m  \u001b[1;36m0.776052\u001b[0m\n",
+       "\u001b[1;36m2\u001b[0m      \u001b[1;36m2\u001b[0m  \u001b[1;36m0.782790\u001b[0m  \u001b[1;36m0.795898\u001b[0m\n",
+       "\u001b[1;36m3\u001b[0m      \u001b[1;36m3\u001b[0m  \u001b[1;36m0.408743\u001b[0m  \u001b[1;36m0.376669\u001b[0m\n",
+       "\u001b[1;36m4\u001b[0m      \u001b[1;36m4\u001b[0m  \u001b[1;36m0.382206\u001b[0m  \u001b[1;36m0.721494\u001b[0m\n",
+       "..   \u001b[33m...\u001b[0m       \u001b[33m...\u001b[0m       \u001b[33m...\u001b[0m\n",
+       "\u001b[1;36m295\u001b[0m  \u001b[1;36m295\u001b[0m  \u001b[1;36m0.705821\u001b[0m  \u001b[1;36m0.809451\u001b[0m\n",
+       "\u001b[1;36m296\u001b[0m  \u001b[1;36m296\u001b[0m  \u001b[1;36m0.666569\u001b[0m  \u001b[1;36m0.698280\u001b[0m\n",
+       "\u001b[1;36m297\u001b[0m  \u001b[1;36m297\u001b[0m  \u001b[1;36m0.481626\u001b[0m  \u001b[1;36m0.689337\u001b[0m\n",
+       "\u001b[1;36m298\u001b[0m  \u001b[1;36m298\u001b[0m  \u001b[1;36m0.472785\u001b[0m  \u001b[1;36m0.363001\u001b[0m\n",
+       "\u001b[1;36m299\u001b[0m  \u001b[1;36m299\u001b[0m  \u001b[1;36m0.230548\u001b[0m  \u001b[1;36m0.231731\u001b[0m\n",
+       "\n",
+       "\u001b[1m[\u001b[0m\u001b[1;36m300\u001b[0m rows x \u001b[1;36m3\u001b[0m columns\u001b[1m]\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Best run: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">179</span> with NSE: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.8095358934408565</span>, with parameters:\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Best run: \u001b[1;36m179\u001b[0m with NSE: \u001b[1;36m0.8095358934408565\u001b[0m, with parameters:\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">[</span>\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Imax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6.279135309789487</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ce'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.48082432749007864</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Sumax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">174.127749336179</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Beta'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.9527195686909842</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Pmax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.3305087197271726</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Tlag'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6.199192091400492</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Kf'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.07683628832422615</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ks'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.004363984839521473</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'FM'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.40766060413663546</span><span style=\"font-weight: bold\">)</span>\n",
+       "<span style=\"font-weight: bold\">]</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1m[\u001b[0m\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Imax'\u001b[0m, \u001b[1;36m6.279135309789487\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ce'\u001b[0m, \u001b[1;36m0.48082432749007864\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Sumax'\u001b[0m, \u001b[1;36m174.127749336179\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Beta'\u001b[0m, \u001b[1;36m1.9527195686909842\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Pmax'\u001b[0m, \u001b[1;36m0.3305087197271726\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Tlag'\u001b[0m, \u001b[1;36m6.199192091400492\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Kf'\u001b[0m, \u001b[1;36m0.07683628832422615\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ks'\u001b[0m, \u001b[1;36m0.004363984839521473\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'FM'\u001b[0m, \u001b[1;36m0.40766060413663546\u001b[0m\u001b[1m)\u001b[0m\n",
+       "\u001b[1m]\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Best run: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">179</span> with log_NSE: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.8717169479201906</span>, with parameters:\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Best run: \u001b[1;36m179\u001b[0m with log_NSE: \u001b[1;36m0.8717169479201906\u001b[0m, with parameters:\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">[</span>\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Imax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6.279135309789487</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ce'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.48082432749007864</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Sumax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">174.127749336179</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Beta'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.9527195686909842</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Pmax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.3305087197271726</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Tlag'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6.199192091400492</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Kf'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.07683628832422615</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ks'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.004363984839521473</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'FM'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.40766060413663546</span><span style=\"font-weight: bold\">)</span>\n",
+       "<span style=\"font-weight: bold\">]</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1m[\u001b[0m\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Imax'\u001b[0m, \u001b[1;36m6.279135309789487\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ce'\u001b[0m, \u001b[1;36m0.48082432749007864\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Sumax'\u001b[0m, \u001b[1;36m174.127749336179\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Beta'\u001b[0m, \u001b[1;36m1.9527195686909842\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Pmax'\u001b[0m, \u001b[1;36m0.3305087197271726\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Tlag'\u001b[0m, \u001b[1;36m6.199192091400492\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Kf'\u001b[0m, \u001b[1;36m0.07683628832422615\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ks'\u001b[0m, \u001b[1;36m0.004363984839521473\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'FM'\u001b[0m, \u001b[1;36m0.40766060413663546\u001b[0m\u001b[1m)\u001b[0m\n",
+       "\u001b[1m]\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "results = pd.DataFrame(results)\n",
+    "\n",
+    "print(results[[\"run\", \"NSE\", \"log_NSE\"]])\n",
+    "\n",
+    "# Best NSE\n",
+    "best_run_nse = results[\"NSE\"].idxmax()\n",
+    "best_result_nse = results.loc[best_run_nse]\n",
+    "\n",
+    "best_parameters_nse = best_result_nse[\"parameters\"]\n",
+    "best_nse = best_result_nse[\"NSE\"]\n",
+    "\n",
+    "print(f'Best run: {best_run_nse} with NSE: {best_nse}, with parameters:')\n",
+    "print(list(zip(parameter_names, best_parameters_nse)))\n",
+    "\n",
+    "# Best log_NSE\n",
+    "best_run_log_nse = results[\"log_NSE\"].idxmax()\n",
+    "best_result_log_nse = results.loc[best_run_log_nse]\n",
+    "\n",
+    "best_parameters_log_nse = best_result_log_nse[\"parameters\"]\n",
+    "best_log_nse = best_result_log_nse[\"log_NSE\"]\n",
+    "\n",
+    "print(f'Best run: {best_run_log_nse} with log_NSE: {best_log_nse}, with parameters:')\n",
+    "print(list(zip(parameter_names, best_parameters_log_nse)))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "id": "68ac955d-5bc7-4c75-a862-0a6ddec6b96a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">[</span>\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Imax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6.2391126094287115</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ce'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.4059034482695777</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Sumax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">154.67204503110761</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Beta'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.754032781455765</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Pmax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.39617478157458713</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Tlag'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">8.374403905226643</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Kf'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.1561690712250938</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ks'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.01336758499776439</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'FM'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.4720208296914324</span><span style=\"font-weight: bold\">)</span>\n",
+       "<span style=\"font-weight: bold\">]</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1m[\u001b[0m\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Imax'\u001b[0m, \u001b[1;36m6.2391126094287115\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ce'\u001b[0m, \u001b[1;36m0.4059034482695777\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Sumax'\u001b[0m, \u001b[1;36m154.67204503110761\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Beta'\u001b[0m, \u001b[1;36m1.754032781455765\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Pmax'\u001b[0m, \u001b[1;36m0.39617478157458713\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Tlag'\u001b[0m, \u001b[1;36m8.374403905226643\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Kf'\u001b[0m, \u001b[1;36m0.1561690712250938\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ks'\u001b[0m, \u001b[1;36m0.01336758499776439\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'FM'\u001b[0m, \u001b[1;36m0.4720208296914324\u001b[0m\u001b[1m)\u001b[0m\n",
+       "\u001b[1m]\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Manual check for other runs\n",
+    "\n",
+    "selected_run = results.loc[295]\n",
+    "print(list(zip(parameter_names, selected_run[\"parameters\"])))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "id": "dc27944c-bad7-49ac-acb0-d050c6471452",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">RMSE for best NSE parameter set: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">52.624</span> m³/s\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "RMSE for best NSE parameter set: \u001b[1;36m52.624\u001b[0m m³/s\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">RMSE for best log_NSE parameter set: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">62.495</span> m³/s\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "RMSE for best log_NSE parameter set: \u001b[1;36m62.495\u001b[0m m³/s\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Calculate RMSE for best parameter sets NSE and log_NSE\n",
+    "\n",
+    "rmse_nse = RMSE(\n",
+    "    plot_data[\"Modelled discharge NSE\"],\n",
+    "    plot_data[\"Observed discharge\"]\n",
+    ")\n",
+    "\n",
+    "rmse_log_nse = RMSE(\n",
+    "    plot_data[\"Modelled discharge log_NSE\"],\n",
+    "    plot_data[\"Observed discharge\"]\n",
+    ")\n",
+    "\n",
+    "print(f\"RMSE for best NSE parameter set: {rmse_nse:.3f} m³/s\")\n",
+    "print(f\"RMSE for best log_NSE parameter set: {rmse_log_nse:.3f} m³/s\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "id": "aeb2ea7e-9826-450f-880e-e1e5e72c9dba",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1400x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot\n",
+    "\n",
+    "q_critical = 500\n",
+    "\n",
+    "simulated_calibrated_nse = run_hbv(\n",
+    "    parameters=best_parameters_nse,\n",
+    "    initial_storages=s_0,\n",
+    "    forcing=ERA5_forcing\n",
+    ")\n",
+    "\n",
+    "simulated_calibrated_log_nse = run_hbv(\n",
+    "    parameters=best_parameters_log_nse,\n",
+    "    initial_storages=s_0,\n",
+    "    forcing=ERA5_forcing\n",
+    ")\n",
+    "\n",
+    "# Align dates\n",
+    "simulated_plot_nse = simulated_calibrated_nse\n",
+    "simulated_plot_log_nse = simulated_calibrated_log_nse\n",
+    "observed_plot = observed_output\n",
+    "\n",
+    "simulated_plot_nse.index = pd.to_datetime(simulated_plot_nse.index).tz_localize(None).normalize()\n",
+    "simulated_plot_log_nse.index = pd.to_datetime(simulated_plot_log_nse.index).tz_localize(None).normalize()\n",
+    "observed_plot.index = pd.to_datetime(observed_plot.index).tz_localize(None).normalize()\n",
+    "\n",
+    "# Combine modelled and observed data\n",
+    "plot_data = pd.DataFrame({\n",
+    "    \"Modelled discharge NSE\": simulated_plot_nse,\n",
+    "    \"Modelled discharge log_NSE\": simulated_plot_log_nse,\n",
+    "    \"Observed discharge\": observed_plot\n",
+    "}).dropna()\n",
+    "\n",
+    "# Calculate NSE for plotted data\n",
+    "plot_nse = NSE(\n",
+    "    plot_data[\"Modelled discharge NSE\"],\n",
+    "    plot_data[\"Observed discharge\"]\n",
+    ")\n",
+    "\n",
+    "plot_log_nse = log_NSE(\n",
+    "    plot_data[\"Modelled discharge log_NSE\"],\n",
+    "    plot_data[\"Observed discharge\"]\n",
+    ")\n",
+    "\n",
+    "# Plot\n",
+    "plt.figure(figsize=(14, 6))\n",
+    "plt.plot(plot_data.index, plot_data[\"Observed discharge\"], label=\"Observed discharge\")\n",
+    "plt.plot(plot_data.index, plot_data[\"Modelled discharge NSE\"], label=\"Modelled discharge NSE\")\n",
+    "plt.plot(plot_data.index, plot_data[\"Modelled discharge log_NSE\"], label=\"Modelled discharge log_NSE\")\n",
+    "\n",
+    "plt.xlabel(\"Date\")\n",
+    "plt.ylabel(\"Discharge (m³/s)\")\n",
+    "plt.title(f\"Observed vs modelled discharge at 07DA001, NSE = {best_nse:.3f}, log NSE = {best_log_nse:.3f}\")\n",
+    "plt.axhline(y=q_critical, linestyle=\":\", label=f'Critical discharge ({q_critical} m³/s', color='black')\n",
+    "plt.legend()\n",
+    "plt.grid(True)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "dde634ea-53bd-4c41-ba13-8ec762014b89",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/Workyard/Bonus trial notebooks/Step2_Trial_model_LAR.ipynb b/Workyard/Bonus trial notebooks/Step2_Trial_model_LAR.ipynb
new file mode 100644
index 00000000..9071a3ff
--- /dev/null
+++ b/Workyard/Bonus trial notebooks/Step2_Trial_model_LAR.ipynb	
@@ -0,0 +1,867 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "bdb4216e-a341-4c2b-a410-35170773a9a7",
+   "metadata": {},
+   "source": [
+    "## Startup"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 77,
+   "id": "d197b8f0-0f85-4a41-b2fb-1b2a8cf3f9f5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General python\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\", category=UserWarning)\n",
+    "\n",
+    "import numpy as np\n",
+    "from pathlib import Path\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import xarray as xr\n",
+    "\n",
+    "# Niceties\n",
+    "from rich import print"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 78,
+   "id": "dd7b7d3f-1489-4723-bb51-f3cffcb7a85c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General eWaterCycle\n",
+    "import ewatercycle\n",
+    "import ewatercycle.models\n",
+    "import ewatercycle.forcing"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 79,
+   "id": "1c8aee93-b2d6-4291-89ae-1d29e69268cd",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Defining basin size\n",
+    "\n",
+    "basin_size = 132572"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 80,
+   "id": "d7dce039-d1f3-44a0-b646-98c32ecffb28",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Choosing time period\n",
+    "\n",
+    "experiment_start_date = \"1999-01-01T00:00:00Z\"\n",
+    "experiment_end_date = \"2019-12-31T00:00:00Z\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 81,
+   "id": "d330bf37-7419-4287-81af-3d09e4c7a30e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create pathways for ERA 5 forcings\n",
+    "\n",
+    "forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"ERA5-1999-2019\"\n",
+    "\n",
+    "discharge_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
+    "\n",
+    "shape_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "\n",
+    "hbv_config = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"hbv_config\"\n",
+    "hbv_config.mkdir(parents=True, exist_ok=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 82,
+   "id": "12cc30f9-29ad-4b43-b3dd-9cd5612ff4e2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# # Create pathways for ERA 5 forcings\n",
+    "\n",
+    "# forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"forcings\" / \"ERA5-2019-2024\"\n",
+    "\n",
+    "# discharge_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
+    "\n",
+    "# shape_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "\n",
+    "# hbv_config = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"hbv_config\"\n",
+    "# hbv_config.mkdir(parents=True, exist_ok=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 83,
+   "id": "46ea8b1e-fb73-49ed-855c-4d95cd932748",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load CSV discharge 07DA001\n",
+    "\n",
+    "q_obs = pd.read_csv(discharge_file, skiprows=1)\n",
+    "q_obs = q_obs[[\"Date\", \"Value\"]].copy()\n",
+    "q_obs[\"Date\"] = pd.to_datetime(q_obs[\"Date\"])\n",
+    "q_obs = q_obs.rename(columns={\"Value\": \"discharge_m3s\"})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 84,
+   "id": "8bb224ad-d23c-475f-b6af-4a6023a17044",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Date</th>\n",
+       "      <th>discharge_m3s</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>14888</th>\n",
+       "      <td>1999-01-01</td>\n",
+       "      <td>104.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14889</th>\n",
+       "      <td>1999-01-02</td>\n",
+       "      <td>103.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14890</th>\n",
+       "      <td>1999-01-03</td>\n",
+       "      <td>101.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14891</th>\n",
+       "      <td>1999-01-04</td>\n",
+       "      <td>103.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14892</th>\n",
+       "      <td>1999-01-05</td>\n",
+       "      <td>105.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            Date  discharge_m3s\n",
+       "14888 1999-01-01          104.0\n",
+       "14889 1999-01-02          103.0\n",
+       "14890 1999-01-03          101.0\n",
+       "14891 1999-01-04          103.0\n",
+       "14892 1999-01-05          105.0"
+      ]
+     },
+     "execution_count": 84,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Filter q_obs to start & end date\n",
+    "\n",
+    "start_date = pd.to_datetime(experiment_start_date.replace(\"Z\", \"\"))\n",
+    "end_date = pd.to_datetime(experiment_end_date.replace(\"Z\", \"\"))\n",
+    "\n",
+    "q_obs = q_obs[\n",
+    "    (q_obs[\"Date\"] >= start_date) &\n",
+    "    (q_obs[\"Date\"] <= end_date)\n",
+    "].copy()\n",
+    "\n",
+    "q_obs.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 85,
+   "id": "7f6f57aa-9f39-4524-ba3a-34f55035ebab",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1200x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot q_obs\n",
+    "\n",
+    "plt.figure(figsize=(12, 5))\n",
+    "plt.plot(q_obs[\"Date\"], q_obs[\"discharge_m3s\"])\n",
+    "\n",
+    "plt.xlabel(\"Date\")\n",
+    "plt.ylabel(\"Discharge (m³/s)\")\n",
+    "plt.title(\"Observed daily discharge at 07DA001\")\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 86,
+   "id": "77e79b20-3e4d-405a-bd88-16bdc50bdb39",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">LumpedMakkinkForcing</span><span style=\"font-weight: bold\">(</span>\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">start_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'1999-01-01T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">end_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'2019-12-31T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">directory</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1999-2019'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">shape</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">filenames</span>=<span style=\"font-weight: bold\">{</span>\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'evspsblpot'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1999_2019_evspsblpot.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'pr'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1999_2019_pr.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'rsds'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1999_2019_rsds.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'tas'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1999_2019_tas.nc'</span>\n",
+       "    <span style=\"font-weight: bold\">}</span>\n",
+       "<span style=\"font-weight: bold\">)</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1;35mLumpedMakkinkForcing\u001b[0m\u001b[1m(\u001b[0m\n",
+       "    \u001b[33mstart_time\u001b[0m=\u001b[32m'1999-01-01T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mend_time\u001b[0m=\u001b[32m'2019-12-31T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mdirectory\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1999-2019'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mshape\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mfilenames\u001b[0m=\u001b[1m{\u001b[0m\n",
+       "        \u001b[32m'evspsblpot'\u001b[0m: \u001b[32m'combined_ERA5_1999_2019_evspsblpot.nc'\u001b[0m,\n",
+       "        \u001b[32m'pr'\u001b[0m: \u001b[32m'combined_ERA5_1999_2019_pr.nc'\u001b[0m,\n",
+       "        \u001b[32m'rsds'\u001b[0m: \u001b[32m'combined_ERA5_1999_2019_rsds.nc'\u001b[0m,\n",
+       "        \u001b[32m'tas'\u001b[0m: \u001b[32m'combined_ERA5_1999_2019_tas.nc'\u001b[0m\n",
+       "    \u001b[1m}\u001b[0m\n",
+       "\u001b[1m)\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Generate ERA5 data\n",
+    "# ERA5_forcing = ewatercycle.forcing.sources['LumpedMakkinkForcing'].generate(\n",
+    "#     dataset=\"ERA5\",\n",
+    "#     start_time=experiment_start_date,\n",
+    "#     end_time=experiment_end_date,\n",
+    "#     shape=shape_file,\n",
+    "# )\n",
+    "\n",
+    "# Load data\n",
+    "\n",
+    "ERA5_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=forcing_path_ERA5)\n",
+    "\n",
+    "print(ERA5_forcing)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 87,
+   "id": "ca2be146-1112-4806-a44f-d57ebd4442c9",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">[</span>\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Imax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6.991929</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ce'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.44128</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Sumax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">183.49046</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Beta'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.62907</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Pmax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.572658</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Tlag'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5.215476</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Kf'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.0654684</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ks'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.00259304</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'FM'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.14274</span><span style=\"font-weight: bold\">)</span>\n",
+       "<span style=\"font-weight: bold\">]</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1m[\u001b[0m\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Imax'\u001b[0m, \u001b[1;36m6.991929\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ce'\u001b[0m, \u001b[1;36m0.44128\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Sumax'\u001b[0m, \u001b[1;36m183.49046\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Beta'\u001b[0m, \u001b[1;36m1.62907\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Pmax'\u001b[0m, \u001b[1;36m0.572658\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Tlag'\u001b[0m, \u001b[1;36m5.215476\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Kf'\u001b[0m, \u001b[1;36m0.0654684\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ks'\u001b[0m, \u001b[1;36m0.00259304\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'FM'\u001b[0m, \u001b[1;36m1.14274\u001b[0m\u001b[1m)\u001b[0m\n",
+       "\u001b[1m]\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Load calibration constants\n",
+    "\n",
+    "# par_0 = [4.45787, 0.42307, 201.57602, 2.36497, 0.26755, 8.62964, 0.083568, 0.0037073, 0.29645]\n",
+    "# par_0 = [2.79874, 0.49211, 255.96478, 1.782968, 0.503199, 6.095956, 0.33279, 0.10539, 0.63857]\n",
+    "# par_0 = [6.279135, 0.4808243, 174.127749, 1.9527195, 0.3305087, 6.19919, 0.0768362, 0.004366398, 0.4076606]         # 0.725 val, 0.x cal - Fav run 2\n",
+    "# par_0 = [6.28908, 0.423917, 173.56627, 1.63144, 0.402586, 6.56151, 0.0456809, 0.00313744, 0.516696]                 # 0.702 val, 0.x cal\n",
+    "# par_0 = [6.4919, 0.386877, 221.78625, 1.388269, 0.276453, 4.9870704, 0.04126777, 0.05640195, 1.148877]              # 0.668 val, 0.x cal\n",
+    "# par_0 = [7.502398, 0.38028, 194.1899, 1.680197, 0.47956, 4.8566806, 0.041745354, 0.02833896, 1.051862]              # 0.677 val, 0.x cal\n",
+    "# par_0 = [5.5464, 0.46496, 187.8548, 1.82803, 0.440628, 6.29496, 0.062766, 0.033095, 0.80392]                        # 0.781 val, 0.776 cal\n",
+    "# par_0 = [6.16512, 0.4369419, 151.2515900, 1.727835, 0.3771705, 6.19265974, 0.06959136, 0.001310818, 0.8130732]      # 0.664 val, 0.791 cal\n",
+    "# par_0 = [5.7107, 0.441634, 172.81305, 1.87367, 0.588802, 5.498147, 0.060305, 0.019666, 1.2011814]                    # x val, 0.73 cal         Start of 5+ months exclusion\n",
+    "# par_0 = [7.35776, 0.432509, 192.67085, 1.66088, 0.289296, 5.323766, 0.037268, 0.004399, 1.146504]                    # 0.82 val, 0.818 cal - Fav run 1      \n",
+    "# par_0 = [7.23868, 0.47495, 181.82012, 1.8232, 0.4884032, 5.546412, 0.0449439, 0.00231717, 1.25052]                    #  val,  0.77 cal    \n",
+    "# par_0 = [7.9355, 0.4593, 219.6962, 1.72624, 0.26391, 5.810765, 0.04804, 0.0155065, 0.76857]                           # 0.78 val, 0.71 cal - potential inclusion\n",
+    "par_0 = [6.991929, 0.44128, 183.49046, 1.62907, 0.572658, 5.215476, 0.0654684, 0.00259304, 1.14274]                   # 0,69 c, 0.73 v - 6 months excluded N = 600 #1\n",
+    "# par_0 = [5.882658, 0.472413, 194.30386, 1.78162, 0.460818, 5.215365, 0.0641993, 0.159898, 1.091972]                   # 0,637 c, 0,65 v - 6 months excluded N = 600 #2\n",
+    "# par_0 = [6.991929, 0.44128, 183.49046, 1.62907, 0.572658, 5.215476, 0.0654684, 0.00259304, 1.14274]                   # c, v - 6 months excluded N = 600 #3\n",
+    "\n",
+    "\n",
+    "par_names = [\"Imax\",         # Maximum interception storage\n",
+    "               \"Ce\",         # Evaporation correction factor\n",
+    "               \"Sumax\",      # Maximum soil moisture storage\n",
+    "               \"Beta\",       # Soil runoff parameter\n",
+    "               \"Pmax\",       # Maximum percolation rate\n",
+    "               \"Tlag\",       # Time lag\n",
+    "               \"Kf\",         # Fast reservoir recession coefficient\n",
+    "               \"Ks\",         # Slow reservoir recession coefficient\n",
+    "               \"FM\"          # Snowmelt factor\n",
+    "               ]\n",
+    "\n",
+    "# Initial: par_0 = [5.085, 0.55, 100.373, 1.612, 0.545, 3.801, 0.196, 0.00, 0.185]\n",
+    "\n",
+    "print(list(zip(par_names, par_0)))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 88,
+   "id": "d5e5bcb4-bf90-470b-90ed-4a0b9d80c35d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Storages\n",
+    "\n",
+    "#               Si,  Su, Sf, Ss, Sp\n",
+    "s_0 = np.array([0,  100,  0,  5,  0])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5bbaae8e-18fa-4383-9973-5a2560840699",
+   "metadata": {},
+   "source": [
+    "## Setup model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 89,
+   "id": "055bdbc8-af1f-41ac-ad1d-b4da4d6785f6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create model object\n",
+    "\n",
+    "model = ewatercycle.models.HBV(forcing=ERA5_forcing)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 90,
+   "id": "44092959-524a-4330-a274-77cfad0eacd6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create config file\n",
+    "\n",
+    "config_file, _ = model.setup(parameters=par_0, initial_storages=s_0, cfg_dir=hbv_config)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 91,
+   "id": "079368de-30cf-491f-8cc9-2021f6a4bfa6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Initialising model\n",
+    "\n",
+    "model.initialize(config_file)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "327222c7-bd08-4992-826e-07f40f61b783",
+   "metadata": {},
+   "source": [
+    "## Running the model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 92,
+   "id": "93b4084b-21e5-4009-9fc7-122b7b739a86",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Define outputs\n",
+    "\n",
+    "Q_m = []\n",
+    "time = []\n",
+    "\n",
+    "while model.time < model.end_time:\n",
+    "    model.update()\n",
+    "    Q_m.append(model.get_value(\"Q\")[0])\n",
+    "    time.append(pd.Timestamp(model.time_as_datetime))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 93,
+   "id": "f1bb58f8-3dee-43eb-abc8-4af333b5d064",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "model.finalize()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "39872047-cba7-47c4-b2f8-6ed47c56fdc6",
+   "metadata": {},
+   "source": [
+    "## Process results "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 94,
+   "id": "715c5274-8ab4-45d0-b154-bb0cf30b52bd",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Make Series for model output and q_obs\n",
+    "model_output_mmday = pd.Series(data=Q_m, name=\"Modelled discharge\", index=time)\n",
+    "model_output_m3s = model_output_mmday * basin_size * 1000 / 86400\n",
+    "\n",
+    "# Date_obs = q_obs[\"Date\"]\n",
+    "# discharge_m3s_obs = q_obs[\"discharge_m3s\"]\n",
+    "\n",
+    "observed_output = pd.Series(data=q_obs[\"discharge_m3s\"].to_numpy(), name=\"Observed discharge\", index=q_obs[\"Date\"])\n",
+    "\n",
+    "# q_obs.set_index(\"Date\")[\"discharge_m3s\"]\n",
+    "# observed_output.name = \"Observed discharge\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 95,
+   "id": "9ee05f10-c416-4238-be5f-0dd3901ba3ec",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA/YAAAG3CAYAAAAeg860AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8fJSN1AAAACXBIWXMAAA9hAAAPYQGoP6dpAAB+oElEQVR4nOzdd3QU5fv38c+mF0KAQBICoYcmIFWkSA9NuggC0nsRUBAQlPIVqSIoCCjSlCYqKCpGQhUJvUiV3pQSCJDQ0uf5gyf7Y0kCG0hMlrxf5+Qc9p57Zq+ZvTLk2nvmHpNhGIYAAAAAAIBNskvvAAAAAAAAwNOjsAcAAAAAwIZR2AMAAAAAYMMo7AEAAAAAsGEU9gAAAAAA2DAKewAAAAAAbBiFPQAAAAAANozCHgAAAAAAG0ZhDwAAAACADaOwB4B0tmjRIplMJplMJm3evDnRcsMwVKRIEZlMJtWqVStV39tkMmns2LEpXu/cuXMymUxatGiRuS1hP86dO5dq8Y0dO1YmkynVtpfWatWqpVKlSqV3GP+5pPIhJZLKnVq1aqV6vkvS5s2bZTKZ9P3336f6tm3B2rVrU/w7f+bMGbVq1UrZsmVTlixZFBgYqH379ln0STiuyf306dPH3Pfhc57JZJKLi4t8fX1Vu3ZtTZw4UaGhoY+Np3z58jKZTPr444+T7XPnzh0NHjxYfn5+cnFxUdmyZbVixYok++7bt0/16tVTlixZlC1bNrVq1UpnzpxJ1G/GjBlq1aqVChYsmCbnYwB4FhT2AJBBeHh4aP78+Ynat2zZotOnT8vDwyMdogLSx+zZszV79uz0DuO5s3btWo0bN87q/teuXdMrr7yiEydOaMGCBVq5cqUiIyNVq1YtHT9+3NyvfPny2r59e6KfTp06SZJatmyZaNsLFy7U9u3bFRwcrM8//1xly5bV5MmTVaJECa1fvz7JeA4cOKD9+/dLUpLnywStWrXS4sWLNWbMGP3222+qVKmS2rVrp2XLlln0+/vvv1WrVi1FR0dr5cqVWrBggU6cOKFXXnlF165ds+g7d+5cnT9/XnXq1FGuXLmsO4AA8B9xSO8AAAAPtG3bVkuXLtXnn3+urFmzmtvnz5+vKlWqKCIiIh2jgy2Ji4tTbGysnJ2d0zuUp1ayZMn0DuGZ3Lt3T25ubukdxjObOnWqrl27ppCQEOXPn1+SVL16dRUuXFijR4/Wt99+K0nKmjWrXn75ZYt1DcNQhw4dlD9/fgUGBibadqlSpVSxYkXz69dee01vv/22qlevrlatWunkyZPy8fGxWOerr76SJL366qv69ddfFRISoqpVq1r0Wbt2rYKDg7Vs2TK1a9dOklS7dm2dP39e7777rtq2bSt7e3tJ0ujRo+Xs7KxffvnFfN6tUKGCAgIC9PHHH2vy5Mnm7R49elR2dnbm2AEgI2HEHgAyiIQ/QJcvX25uCw8P1w8//KBu3boluc6NGzfUr18/5cmTR05OTipUqJBGjRqlqKgoi34RERHq2bOnvLy8lCVLFjVs2FAnTpxIcpsnT55U+/bt5e3tLWdnZ5UoUUKff/75U+/X+vXrVbduXWXNmlVubm6qVq2aNmzYkKjfr7/+qrJly8rZ2VkFCxZ87GW2Dxs8eLDc3d2T/OKjbdu28vHxUUxMjCRp48aNqlWrlry8vOTq6qp8+fLptdde07179x77HvHx8ZoyZYqKFy8uZ2dneXt7q1OnTvrnn3+S7L9161a9/PLLcnV1VZ48efTBBx8oLi7Oos+cOXP04osvKkuWLPLw8FDx4sU1cuRIiz5XrlxR7969lTdvXjk5OalgwYIaN26cYmNjzX0SLoOfMmWKxo8fr4IFC8rZ2VkrV66Uk5OTPvjgg0Tx/f333zKZTPrss89S9F6SdOnSJbVp00YeHh7y9PRU27ZtdeXKlccev4ft2LFD1apVk4uLi/z8/PTee++ZP5+HJXUpvjXH7N9//1WvXr3k7+8vJycn+fn5qXXr1rp69apFv5iYGI0aNUp+fn7KmjWr6tWrZzECLUnBwcFq3ry58ubNKxcXFxUpUkS9e/fW9evXLfol3DKyb98+tW7dWtmzZ1fhwoUlSVFRURoyZIh8fX3l5uamGjVqaO/evSpQoIC6dOlisR1rP4OkfPvtt6pfv75y584tV1dXlShRQiNGjNDdu3fNfbp06WL+XX74UvjH3T6zevVq1alTx1zUSw+K+FatWunnn39+bGybNm3SmTNn1LVrV3NB/CT58uXTtGnTdPv2bX3xxRcWyyIjI7Vs2TJVqFBB06dPlyQtWLAgyZizZMmi119/3aK9a9euunTpknbu3ClJio2N1S+//KLXXnvN4svU/Pnzq3bt2lq9erXF+tbuAwCkB0bsASCDyJo1q1q3bq0FCxaod+/ekh4U+XZ2dmrbtq1mzJhh0T8yMlK1a9fW6dOnNW7cOJUpU0Zbt27VxIkTdeDAAf3666+SHoyatWjRQiEhIRo9erQqVaqkbdu2qVGjRoliOHr0qKpWrWr+49rX11e///67Bg4cqOvXr2vMmDEp2qclS5aoU6dOat68uRYvXixHR0d98cUXatCggX7//XfVrVtXkrRhwwY1b95cVapU0YoVKxQXF6cpU6YkKsaS0q1bN3366adauXKlevToYW6/deuWfvrpJ/Xv31+Ojo46d+6cXn31Vb3yyitasGCBsmXLpn///VdBQUGKjo5+7Ohq37599eWXX2rAgAFq0qSJzp07pw8++ECbN2/Wvn37lDNnTnPfK1eu6I033tCIESP0v//9T7/++qvGjx+vmzdvatasWZKkFStWqF+/fnrrrbf08ccfy87OTqdOndLRo0cttvPSSy/Jzs5Oo0ePVuHChbV9+3aNHz9e586d08KFCy1i/Oyzz1S0aFF9/PHHypo1qwICAtSkSRMtXrxY48aNsyhKFi5cKCcnJ3Xo0CFF73X//n3Vq1dPly5d0sSJE1W0aFH9+uuvatu27RM/J+lBftWtW1cFChTQokWL5ObmptmzZye6PDop1hyzf//9V5UqVVJMTIxGjhypMmXKKCwsTL///rtu3rxpMfo7cuRIVatWTV999ZUiIiI0fPhwNW3aVMeOHTOP5p4+fVpVqlRRjx495OnpqXPnzumTTz5R9erVdejQITk6OlrE2KpVK73xxhvq06ePuaDu2rWrvv32Ww0bNkx16tTR0aNH1bJly0RfRKX0837UyZMn1bhxY/MXXX///bcmT56sXbt2aePGjZKkDz74QHfv3tX333+v7du3m9fNnTt3ktu8f/++Tp8+neRl9GXKlNH9+/d15swZFS1aNMn158+fLzs7O3Xt2vWxsT+qcePGsre31x9//GHRvmrVKt28eVPdunVTQECAqlevrm+//VYzZsxQlixZzP0OHz6sEiVKyMHB8s/cMmXKmJdXrVpVp0+f1v37983tj/YNDg5WZGSkXFxcUhQ/AKQLAwCQrhYuXGhIMnbv3m1s2rTJkGQcPnzYMAzDqFSpktGlSxfDMAzjhRdeMGrWrGleb+7cuYYkY+XKlRbbmzx5siHJWLdunWEYhvHbb78ZkoxPP/3Uot9HH31kSDLGjBljbmvQoIGRN29eIzw83KLvgAEDDBcXF+PGjRuGYRjG2bNnDUnGwoULE+3H2bNnDcMwjLt37xo5cuQwmjZtarGtuLg448UXXzReeuklc1vlypUNPz8/4/79++a2iIgII0eOHIY1/1WVL1/eqFq1qkXb7NmzDUnGoUOHDMMwjO+//96QZBw4cOCJ23vYsWPHDElGv379LNp37txpSDJGjhxpbqtZs6Yhyfjpp58s+vbs2dOws7Mzzp8/bxjGg+OZLVu2x75v7969jSxZspjXSfDxxx8bkowjR44YhvF/n0XhwoWN6Ohoi75r1qyxyAXDMIzY2FjDz8/PeO2111L8XnPmzEl2/x7Nh6S0bdvWcHV1Na5cuWIRT/HixS1yxzAeHMuH892aY9atWzfD0dHROHr0aLJ9En7HGjdubNG+cuVKQ5Kxffv2JNeLj483YmJijPPnzyc6BmPGjDEkGaNHj7ZY58iRI4YkY/jw4Rbty5cvNyQZnTt3NrdZ+xlYIyHWLVu2GJKMv/76y7ysf//+Vv1OGYZh/Pvvv4YkY+LEiYmWLVu2zJBkhISEJLnuzZs3DRcXF6NBgwaJlj18zkuOj4+PUaJECYu2OnXqGC4uLsbNmzcttjN//nyLfgEBAUm+76VLlwxJxoQJEwzDMIxt27YZkozly5cn6jthwgRDknHp0qUk43v0fAwA6Y1rigAgA6lZs6YKFy6sBQsW6NChQ9q9e3eyl+Fv3LhR7u7uat26tUV7wuW9CZe7b9q0SZLMo7MJ2rdvb/E6MjJSGzZsUMuWLeXm5qbY2FjzT+PGjRUZGakdO3ZYvS8hISG6ceOGOnfubLGt+Ph4NWzYULt379bdu3d19+5d7d69W61atbIYGfPw8FDTpk2teq+uXbsqJCTE4lLqhQsXqlKlSuZ7YcuWLSsnJyf16tVLixcvTnLW66QkHL9HL5t+6aWXVKJEiUS3FXh4eKhZs2YWbe3bt1d8fLx5BPKll17SrVu31K5dO/3000+JLu2WpF9++UW1a9eWn5+fxfFLuNJiy5YtFv2bNWuWaAS5UaNG8vX1tRjt/f3333Xp0iWLvLL2vTZt2pTs/llj06ZNqlu3rsXIub29vVUj/tYcs99++021a9dWiRIlnri9R/chYdT2/Pnz5rbQ0FD16dNH/v7+cnBwkKOjo/mS9GPHjiXa5muvvWbxOuG4tWnTxqK9devWiUaTU/p5P+rMmTNq3769fH19ZW9vL0dHR9WsWTPZWFPicU+mSG7Z0qVLFRkZaXEVTUoYhmHx+uzZs9q0aZN5dn5Jev311+Xh4ZHk5fgpiflp9g8AMhoKewDIQEwmk7p27aolS5Zo7ty5Klq0qF555ZUk+4aFhcnX1zfRH57e3t5ycHBQWFiYuZ+Dg4O8vLws+vn6+ibaXmxsrGbOnClHR0eLn8aNG0tSksVUchIuo2/dunWi7U2ePFmGYejGjRu6efOm4uPjE8WTVIzJ6dChg5ydnc2PWzt69Kh2795tcQlw4cKFtX79enl7e6t///4qXLiwChcurE8//fSx2044jkldruzn52denuDRyb4e3o+Evh07dtSCBQt0/vx5vfbaa/L29lblypUVHBxsXufq1av6+eefEx27F154QVLizyKp+BwcHNSxY0etXr1at27dkvTgUWO5c+dWgwYNUvxeYWFhj92/J0nI2adZ35pjdu3aNeXNm9eqWB79fUiYaPD+/fuSHsyrUL9+fa1atUrDhg3Thg0btGvXLvOXWwn9HvboZ5DweT96zJL6fUzp5/2wO3fu6JVXXtHOnTs1fvx4bd68Wbt379aqVauSjdUa2bNnl8lkSpTj0oP5PSQpR44cSa47f/585cqVS82bN0/x+969e1dhYWHy8/Mzty1YsECGYah169a6deuWbt26pZiYGDVr1kzbtm3T33//be7r5eVlVcwJn0FyfU0mk/lLBADI6LjHHgAymC5dumj06NGaO3euPvroo2T7eXl5aefOnTIMw6K4Dw0NVWxsrPm+by8vL8XGxiosLMyimHh0wrPs2bPL3t5eHTt2VP/+/ZN8z4IFC1q9HwnvP3PmzESzZSdImNjOZDIlOQGbtZOyZc+eXc2bN9fXX3+t8ePHa+HChXJxcTFPSJjglVde0SuvvKK4uDjt2bNHM2fO1ODBg+Xj46M33ngjyW0nHLPLly8nKhovXbpkcX+9pCTnBUjYj4ePf9euXdW1a1fdvXtXf/zxh8aMGaMmTZroxIkTyp8/v3LmzKkyZcokmwMPFz1S8iOLXbt21dSpU7VixQq1bdtWa9as0eDBg833kUuy+r28vLy0a9euZPfvSby8vJ7pc37SMcuVK1eyExqm1OHDh/XXX39p0aJF6ty5s7n91KlTya7z6GeQ8HlfvXpVefLkMbcn/D4+LKWf98M2btyoS5cuafPmzeZReknmL3Oelqurq4oUKaJDhw4lWnbo0CG5urqqUKFCiZbt379f+/fv15AhQxJdRWKNX3/9VXFxcebJE+Pj481f2rVq1SrJdRYsWKApU6ZIkkqXLq3ly5crNjbW4sqIhP1IuIqncOHCcnV1TXb/ihQpwv31AGwGI/YAkMHkyZNH7777rpo2bWpRUDyqbt26unPnjn788UeL9q+//tq8XHrwmCfpwaWxD3t0wjI3NzfVrl1b+/fvV5kyZVSxYsVEP4+OMj5OtWrVlC1bNh09ejTJbVWsWFFOTk5yd3fXSy+9pFWrVikyMtK8/u3bt/Xzzz9b/X4JM16vXbtWS5YsUcuWLZMdbbO3t1flypXNM4Tv27cv2e3WqVNH0oOJAB+2e/duHTt2zHycH457zZo1Fm3Lli2TnZ2datSokWj77u7uatSokUaNGqXo6GgdOXJEktSkSRMdPnxYhQsXTvLYPa7Qe1iJEiVUuXJlLVy4UMuWLVNUVFSiycysfa/atWsnu3/WqF27tjZs2GDx5UdcXJz5kWnWSu6YNWrUSJs2bUo0u/3TSCjSH31k4KMztT9Owuf96P59//33iWaTf5bPOyWxPnplwpO0bNlSGzdu1MWLF81tt2/f1qpVq9SsWbNEtxRI//d8+e7du1v1Hg+7cOGChg4dKk9PT/Mkor///rv++ecf9e/fX5s2bUr088ILL+jrr782H9OWLVvqzp07+uGHHyy2vXjxYvn5+aly5cqSHlw50bRpU61atUq3b9+2iCHhsn8AsBWM2ANABjRp0qQn9unUqZM+//xzde7cWefOnVPp0qX1559/asKECWrcuLHq1asnSapfv75q1KihYcOG6e7du6pYsaK2bdumb775JtE2P/30U1WvXl2vvPKK+vbtqwIFCuj27ds6deqUfv75Z/Ps2tbIkiWLZs6cqc6dO+vGjRtq3bq1vL29de3aNf3111+6du2a5syZI0n68MMP1bBhQwUGBmrIkCGKi4vT5MmT5e7ubr589knq16+vvHnzql+/frpy5Uqi4nXu3LnauHGjXn31VeXLl0+RkZHme3MTjlVSihUrpl69emnmzJmys7NTo0aNzLPi+/v76+2337bo7+Xlpb59++rChQsqWrSo1q5dq3nz5qlv377Kly+fJKlnz55ydXVVtWrVlDt3bl25ckUTJ06Up6enKlWqJEn63//+p+DgYFWtWlUDBw5UsWLFFBkZqXPnzmnt2rWaO3eu1Zedd+vWTb1799alS5dUtWpVFStWzGK5te/VqVMnTZ8+XZ06ddJHH32kgIAArV27Vr///rtVcbz//vtas2aN6tSpo9GjR8vNzU2ff/65xSPZkmPtMfvtt99Uo0YNjRw5UqVLl9atW7cUFBSkd955R8WLF7cqTkkqXry4ChcurBEjRsgwDOXIkUM///yzxaX/T/LCCy+oXbt2mjZtmuzt7VWnTh0dOXJE06ZNk6enp8WTCp7l865ataqyZ8+uPn36aMyYMXJ0dNTSpUv1119/JepbunRpSdLkyZPVqFEj2dvbq0yZMnJyckpy20OHDtU333yjV199Vf/73//k7OysSZMmKTIyUmPHjk3UP+GRdFWrVn3iXAeHDx82zyUQGhqqrVu3auHChbK3t9fq1auVK1cuSQ++KHBwcNDIkSOT/IKjd+/eGjhwoH799Vc1b95cjRo1UmBgoPr27auIiAgVKVJEy5cvV1BQkJYsWWJxtcq4ceNUqVIlNWnSRCNGjFBkZKRGjx6tnDlzasiQIRbvs2fPHvOjASMiImQYhr7//ntJUqVKlSweCQgA/7n0nLkPAGDdDNGGkfQszGFhYUafPn2M3LlzGw4ODkb+/PmN9957z4iMjLTod+vWLaNbt25GtmzZDDc3NyMwMND4+++/E82KbxgPZlnv1q2bkSdPHsPR0dHIlSuXUbVqVWP8+PEWffSEWfETbNmyxXj11VeNHDlyGI6OjkaePHmMV1991fjuu+8s+q1Zs8YoU6aM4eTkZOTLl8+YNGmSebZxa40cOdKQZPj7+xtxcXEWy7Zv3260bNnSyJ8/v+Hs7Gx4eXkZNWvWNNasWfPE7cbFxRmTJ082ihYtajg6Oho5c+Y03nzzTePixYsW/WrWrGm88MILxubNm42KFSsazs7ORu7cuY2RI0caMTEx5n6LFy82ateubfj4+BhOTk6Gn5+f0aZNG+PgwYMW27t27ZoxcOBAo2DBgoajo6ORI0cOo0KFCsaoUaOMO3fuGIbxf5/F1KlTk40/PDzccHV1NSQZ8+bNS7KPNe9lGIbxzz//GK+99pqRJUsWw8PDw3jttdeMkJAQq2bFN4wHM5G//PLLhrOzs+Hr62u8++67xpdffvnEWfGtPWYXL140unXrZvj6+hqOjo7mflevXjUM4/9mxX80/5LK6aNHjxqBgYGGh4eHkT17duP11183Lly4kOj3JiFPr127lmh/IyMjjXfeecfw9vY2XFxcjJdfftnYvn274enpabz99ttP9RkkJSQkxKhSpYrh5uZm5MqVy+jRo4exb9++RPsUFRVl9OjRw8iVK5dhMpmS/J191KlTp4wWLVoYWbNmNdzc3Iy6desae/fuTbLv0qVLDUnGggULkt1ewrki4cfJycnw9vY2atasaUyYMMEIDQ21OCZOTk5GixYtkt3ezZs3DVdXV4sncNy+fdsYOHCg4evrazg5ORllypRJcvZ7wzCMPXv2GHXr1jXc3NyMrFmzGi1atDBOnTqVqF/nzp0t4n74x5rcB4C0ZDKMR6YdBQAAQJoJCQlRtWrVtHTpUqufKAAAwONQ2AMAAKSR4OBgbd++XRUqVJCrq6v++usvTZo0SZ6enjp48CCTswEAUgX32AMAAKSRrFmzat26dZoxY4Zu376tnDlzqlGjRpo4cSJFPQAg1TBiDwAAAACADeNxdwAAAAAA2DAKewAAAAAAbBiFPQAAAAAANozJ86wUHx+vS5cuycPDQyaTKb3DAQAAAAA85wzD0O3bt+Xn5yc7u+TH5SnsrXTp0iX5+/undxgAAAAAgEzm4sWLyps3b7LLKeyt5OHhIUk6e/ascuTIkc7RAGkjJiZG69atU/369eXo6Jje4QBpgjxHZkCeIzMgz5EZ3LhxQwULFjTXo8mhsLdSwuX3Hh4eypo1azpHA6SNmJgYubm5KWvWrPwHiecWeY7MgDxHZkCeIzOIiYmRpCfeDs7keQAAAAAA2DAKewAAAAAAbBiFPQAAAAAANox77AEAAAAbER8fr+jo6PQOI0OIiYmRg4ODIiMjFRcXl97hAE/F0dFR9vb2z7wdCnsAAADABkRHR+vs2bOKj49P71AyBMMw5Ovrq4sXLz5xYjEgI8uWLZt8fX2fKY8p7AEAAIAMzjAMXb58Wfb29vL395edHXfUxsfH686dO8qSJQvHAzbJMAzdu3dPoaGhkqTcuXM/9bYo7AEAAIAMLjY2Vvfu3ZOfn5/c3NzSO5wMIeG2BBcXFwp72CxXV1dJUmhoqLy9vZ/6snx+AwAAAIAMLuEecicnp3SOBEBqS/iyLuGZ9U+Dwh4AAACwEdxLDjx/UuP3msIeAAAAAAAbRmEPAAAAIN0VKFBAM2bMSO8wUs3T7E+XLl3UokUL8+tatWpp8ODBzxzLuXPnZDKZdODAgWfeFjImCnsAAAAAaebixYvq3r27/Pz85OTkpPz582vQoEEKCwtL79AyvFWrVunDDz9M7zBgAyjsAQAAAKSJM2fOqGLFijpx4oSWL1+uU6dOae7cudqwYYOqVKmiGzdupFtscXFxio+PT7f3t0aOHDnk4eGR3mEkKzo6Or1DwP9HYQ8AAADYGMMwdC86Nl1+DMOwOs7+/fvLyclJ69atU82aNZUvXz41atRI69ev17///qtRo0ZZ9L99+7bat2+vLFmyyM/PTzNnzrRYPnbsWOXLl0/Ozs7Kmzevhg8fbl4WHR2tYcOGKU+ePHJ3d1flypW1efNm8/JFixYpW7Zs+uWXX1SyZEk5Oztr3rx5cnFx0a1btyzeZ+DAgapZs6b5dUhIiGrUqCFXV1f5+/tr4MCBunv3rnl5aGiomjZtKldXVxUsWFBLly594rGJi4vTO++8o2zZssnLy0vDhg1LdGwfvRR/9uzZCggIkIuLi3x8fNS6dWvzsvj4eE2ePFlFihSRs7Oz8uXLp48++shie2fOnFHt2rXl5uamF198Udu3bzcvCwsLU7t27ZQ3b165ubmpdOnSWr58eaJ4BgwYoHfeeUc5c+ZUYGCgJGnNmjUKCAiQq6urateurcWLF8tkMlkc1ycdQzwbnmMPAAAA2Jj7MXEqOfr3dHnvo/9rIDenJ5cRN27c0O+//66PPvrI/KzuBL6+vurQoYO+/fZbzZ492zwr+NSpUzVy5EiNHTtWv//+u95++20VL15cgYGB+v777zV9+nStWLFCL7zwgi5duqSdO3eat9m1a1edO3dOK1askJ+fn1avXq2GDRvq0KFDCggIkCTdu3dPEydO1FdffSUvLy/lzZtXY8aM0Q8//KDu3btLelBwr1y5Uv/73/8kSYcOHVKDBg304Ycfav78+bp27ZoGDBigAQMGaOHChZIe3Bt/8eJFbdy4UU5OTho4cKBCQ0Mfe3ymTZumBQsWaP78+SpZsqSmTZum1atXq06dOkn237NnjwYOHKhvvvlGVatW1Y0bN7R161bz8vfee0/z5s3T9OnTVb16dV2+fFl///23xTZGjRqljz/+WAEBARo1apTatWunU6dOycHBQZGRkapQoYKGDx+urFmz6tdff1XHjh1VqFAhVa5c2byNxYsXq2/fvtq2bZsMw9C5c+fUunVrDRo0SD169ND+/fs1dOhQi/e15hji2VDYAwAAAEh1J0+elGEYKlGiRJLLS5QooZs3b+ratWvy9vaWJFWrVk0jRoyQJBUtWlTbtm3T9OnTFRgYqAsXLsjX11f16tWTo6Oj8ubNq+LFi0uSTp8+reXLl+uff/6Rn5+fJGno0KEKCgrSwoULNWHCBEkPnhM+e/Zsvfjii+Y42rZtq2XLlpkL+w0bNujmzZt6/fXXJT34sqF9+/bmkfOAgAB99tlnqlmzpubMmaMLFy7ot99+044dO8wF8Pz585Pd7wQzZszQe++9p9dee02SNHfuXP3+e/Jf1ly4cEHu7u5q0qSJPDw8lD9/fpUrV07SgysdPv30U82aNUudO3eWJBUuXFjVq1e32MbQoUP16quvSpLGjRunF154QadOnVLx4sWVJ08ei4L8rbfeUlBQkL777juLwr5IkSKaMmWK+fWIESNUrFgxTZ06VZJUrFgxHT582OJqgScdQxcXl8ceKzwZhT0AAABgY1wd7XX0fw3S7b1TQ8Jl5w8/w7tKlSoWfapUqWKeWf7111/XjBkzVKhQITVs2FANGzY0Xy6/b98+GYahokWLWqwfFRUlLy8v82snJyeVKVPGok+HDh1UpUoVXbp0SX5+flq6dKkaN26s7NmzS5L27t2rU6dOWVxebxiG4uPjdfbsWZ04cUIODg6qWLGieXnx4sWVLVu2ZPc9PDxcly9fttjfhG0kd6tDYGCg8ufPb7H/LVu2lJubm44dO6aoqCjVrVs32feUZLHvuXPnlvTgNoLixYsrLi5OkyZN0rfffqt///1XUVFRioqKkru7u8U2Ht5PSTp+/LgqVapk0fbSSy9ZvH7SMXzSlyB4Mgp7AAAAwMaYTCarLodPT0WKFJHJZNLRo0ctHuGW4O+//1b27NmVM2fOx24nofD39/fX8ePHFRwcrPXr12vAgAHy9/fX1q1bFR8fL3t7e+3du1f29pZfPGTJksX8b1dXV4svEqQHRWjhwoW1YsUK9e3bV6tXr7a4PDw+Pl69e/fWwIEDE8WWL18+HT9+3CLOtOLh4aF9+/Zp8+bNWrdunUaPHq2xY8dq9+7diW51SI6jo6P53wnxJkwgOG3aNE2fPl0zZsxQ6dKl5e7ursGDByeaIO/RQt8wjET7/uiXE086hnh2GftsAAAAAMAmeXl5KTAwULNnz9bbb79tUXxeuXJFS5cuVadOnSyKwh07dlhsY8eOHebL7aUHhXmzZs3UrFkz9e3bVyVLltShQ4dUrlw5xcXFKTQ0VK+88kqKY23fvr2WLl2qvHnzys7Ozny5uiSVL19eR44cUZEiRZJct0SJEoqNjdWePXvMI9XHjx9PNCHfwzw9PZU7d27t2LFDNWrUkCTFxsZq7969Kl++fLLrOTg4qF69eqpXr57GjBmjbNmyaePGjWrcuLFcXV21YcMG9ejRI8X7L0lbt25V8+bN9eabb0p6UIyfPHnyiaPpxYsX19q1ay3a9uzZY/H6SccQz45Z8QEAAACkiVmzZikqKkoNGjTQH3/8oYsXLyooKEiBgYHKkydPolnbt23bpilTpujEiRP6/PPP9d1332nQoEGSHsxqP3/+fB0+fFhnzpzRkiVL5Orqqvz586to0aLq0KGDOnXqpFWrVuns2bPavXu3Jk+enKjoTEqHDh20b98+ffTRR2rdurXFPd/Dhw/X9u3b1b9/fx04cEAnT57UmjVr9NZbb0l6cE95w4YN1bNnT+3cuVN79+5Vjx49njiKPmjQIE2aNEmrV6/W33//rX79+j32y4BffvlFn332mQ4cOKDz58/r66+/Vnx8vIoVKyYXFxcNHz5cw4YN09dff63Tp09rx44dmj9//hP3PUGRIkUUHByskJAQHTt2TL1799aVK1eeuF7v3r31999/a/jw4Tpx4oRWrlypRYsWSfq/qwKedAzx7CjsAQAAAKSJgIAA7dmzR4ULF1bbtm1VuHBh9erVS7Vr19b27duVI0cOi/5DhgzR3r17Va5cOX344YeaNm2aGjR4MJdAtmzZNG/ePFWrVk1lypTRxo0btXz5cvM99AsXLlSnTp00ZMgQFStWTM2aNdPOnTvl7+9vVZyVKlXSwYMH1aFDB4tlZcqU0ZYtW3Ty5Em98sorKleunD744APzPeoJ7+3v76+aNWuqVatW6tWrl3lCwOQMGTJEnTp1UpcuXVSlShV5eHioZcuWyfbPli2bVq1apTp16qhEiRKaO3euli9frhdeeEGS9MEHH2jIkCEaPXq0SpQoobZt2z5xZv6HffDBBypfvrwaNGigWrVqydfXN8lbKB5VsGBBff/991q1apXKlCmjOXPmmB9j6OzsLMm6Y4hnYzJS8iDKTCwiIkKenp66fv26xQQcwPMkJiZGa9euVePGjS3uwQKeJ+Q5MgPy/PkTGRmps2fPqmDBgswg/v/Fx8crIiJCWbNmlZ0d45UZyUcffaS5c+fq4sWL6R2KTXjc73dYWJhy5syp8PBwZc2aNdltcI89AAAAAOCpzZ49W5UqVZKXl5e2bdumqVOnasCAAekdVqZCYQ8AAAAAeGonT57U+PHjdePGDeXLl09DhgzRe++9l95hZSoU9gAAAACApzZ9+nRNnz49vcPI1LgZBQAAAAAAG0ZhDwAAAACADaOwBwAAAADAhlHYAwAAAABgwyjsAQAAAACwYRT2AAAAAADYMAp7AAAAADZr8+bNMplMunXrltXrFChQQDNmzDC/NplM+vHHH58pji5duqhFixYpWmfRokXKli2b+fXYsWNVtmzZZ4ojwaP7iOcbhT0AAACANNGlSxeZTCb16dMn0bJ+/frJZDKpS5cu/31gGdTQoUO1YcOG9A4DNojCHgAAAECa8ff314oVK3T//n1zW2RkpJYvX658+fKlY2QZT5YsWeTl5ZXeYSQrJiYmvUNAMijsAQAAAFtjGFL03fT5MYwUhVq+fHnly5dPq1atMretWrVK/v7+KleunEXfqKgoDRw4UN7e3nJxcVH16tW1e/duiz5r165V0aJF5e7urqZNm+rcuXOJ3jMkJEQ1atSQq6ur/P39NXDgQN29e9fqmP/991+1bdtW2bNnl5eXl5o3b27xPnFxcXrnnXeULVs2eXl5adiwYTKsOC6LFi1Svnz55ObmppYtWyosLMxi+aOX4m/evFkvvfSS3N3dlS1bNlWrVk3nz583L1+zZo0qVqwoFxcX5cyZU61atbLY3r1799StWzd5eHgoX758+vLLLy2WDx8+XEWLFpWbm5sKFSqkDz74wKJ4T4hnwYIFKlSokJydnWUYhv7++29Vr15dLi4uKlmypNavX5/odoYnHUOkLof0DgAAAABACsXckyb4pc97j7wkObmnaJWuXbtq4cKF6tChgyRpwYIF6tatmzZv3mzRb9iwYfrhhx+0ePFi5c+fX1OmTFGDBg106tQp5ciRQxcvXlSrVq3Up08f9e7dW1u3btXIkSMttnHo0CE1aNBAH374oebPn69r165pwIABGjBggBYuXPjEWO/du6fatWvrlVde0R9//CEHBweNHz9eDRs21MGDB+Xk5KRp06ZpwYIFmj9/vkqWLKlp06Zp9erVqlOnTrLb3blzp7p166YJEyaoVatWCgoK0pgxY5LtHxsbqxYtWqhnz55avny5oqOjtWvXLplMJknSr7/+qlatWmnUqFH65ptvFB0drV9//dViG9OmTdOHH36okSNH6vvvv1ffvn1Vo0YNFS9eXJLk4eGhRYsWyc/PT4cOHVLPnj3l4eGhYcOGmbdx6tQprVy5Uj/88IPs7e0VHx+vFi1aKF++fNq5c6du376tIUOGpPgYInVR2AMAAABIUx07dtR7772nc+fOyWQyadu2bVqxYoVFYX/37l3NmTNHixYtUqNGjSRJ8+bNU3BwsObPn693331Xc+bMUaFChTR9+nQZhqHcuXPr9OnTmjJlink7U6dOVfv27TV48GBJUkBAgD777DPVrFlTc+bMkYuLy2NjXbFihezs7PTVV1+Zi+iFCxcqW7Zs2rx5s+rXr68ZM2bovffe02uvvSZJmjt3rn7//ffHbvfTTz9VgwYNNGLECElS0aJFFRISoqCgoCT7R0REKDw8XE2aNFHhwoUlSSVKlDAv/+ijj/TGG29o3Lhx5rYXX3zRYhuNGzdWv379JD0YnZ8+fbo2b95sLuzff/99c98CBQpoyJAh+vbbby0K++joaH3zzTfKlSuXJCkoKEinT5/W5s2b5evra44lMDAwRccQqSvDFPYTJ07UyJEjNWjQIPPsjYZhaNy4cfryyy918+ZNVa5cWZ9//rleeOEF83pRUVEaOnSoli9frvv376tu3bqaPXu28ubNa+5z8+ZNDRw4UGvWrJEkNWvWTDNnzrSYgRIAAACwGY5uD0bO0+u9Uyhnzpx69dVXtXjxYhmGoVdffVU5c+a06HP69GnFxMSoWrVq//dWjo566aWXdOzYMUnSsWPH9PLLL8tkMpkvfX/55ZcttrN3716dOnVKS5cuNbcZhqH4+HidPXvWojhOSsL6Hh4eFu2RkZE6ffq0wsPDdfnyZVWpUsW8zMHBQRUrVnzs5fjHjh1Ty5YtLdqqVKmSbGGfI0cOdenSRQ0aNFBgYKDq1aunNm3aKHfu3JKkAwcOqGfPno/dlzJlypj/bTKZ5Ovrq9DQUHPb999/rxkzZujUqVO6c+eOYmNjlTVrVott5M+f31zUS9Lx48fl7+9vLuol6aWXXrJY50nHEKkvQxT2u3fv1pdffmmReJI0ZcoUffLJJ1q0aJGKFi2q8ePHKzAwUMePHzcnyeDBg/Xzzz9rxYoV8vLy0pAhQ9SkSRPt3btX9vb2kqT27dvrn3/+Mf/S9OrVSx07dtTPP//83+4oAAAAkBpMphRfDp/eunXrpgEDBkiSPv/880TLE4rihBHeh9sT2qy5jz0+Pl69e/fWwIEDEy2zZrK++Ph4VahQweKLgQQPF7gpZU3sj1q4cKEGDhyooKAgffvtt3r//fcVHBysl19+Wa6urk9c39HR0eK1yWRSfHy8JGnHjh3mEf8GDRrI09NTK1as0LRp0yzWcXe3zLOHP4/kpNUxRPLSffK8O3fuqEOHDpo3b56yZ89ubjcMQzNmzNCoUaPUqlUrlSpVSosXL9a9e/e0bNkySVJ4eLjmz5+vadOmqV69eipXrpyWLFmiQ4cOaf369ZIefDMWFBSkr776SlWqVFGVKlU0b948/fLLLzp+/Hi67DMAAACQ2TRs2FDR0dGKjo5WgwYNEi0vUqSInJyc9Oeff5rbYmJitGfPHvMoe8mSJbVjxw6L9Xbu3Gnxunz58jpy5IiKFCmS6Meae7vLly+vkydPytvbO9H6np6e8vT0VO7cuS3iiI2N1d69ex+73aRif/R1UsqVK6f33ntPISEhKlWqlLkWKlOmzDM9Gm/btm3Knz+/Ro0apYoVKyogIMBiYr7kFC9eXBcuXNDVq1fNbY9OcPikY4jUl+4j9v3799err76qevXqafz48eb2s2fP6sqVKxb3Xzg7O6tmzZoKCQlR7969tXfvXsXExFj08fPzU6lSpRQSEqIGDRpo+/bt8vT0VOXKlc19Xn75ZXl6eiokJETFihVLMq6oqChFRUWZX0dEREh6cHLhMQ94XiXkNjmO5xl5jsyAPH/+xMTEmC8nTxhxtQWGYZjjNplMOnLkiKT/Gzl+eLmrq6v69Omjd999V9myZVO+fPk0depU3bt3T127dlV8fLx69eqladOm6e2331bPnj21bds2LV68WJLMx+bdd99V1apV1a9fP/Xo0UPu7u46duyY1q9fr88++8witoePZcL67dq109SpU9W8eXONHTtWefPm1YULF7R69WoNHTpUefPm1cCBAzVp0iQVLlxYJUqU0PTp03Xr1q1E23zYgAEDVL16dU2ePFnNmzdXcHCw+YrihHUSRvUTbhuYN2+emjZtKj8/Px0/flwnTpzQm2++qfj4eH3wwQcKDAxUoUKF1LZtW8XGxiooKEjvvvtusvv4cFuhQoV04cIFLVu2TJUqVdLatWu1evXqZONJULduXRUuXFidOnXS5MmTdfv2bY0aNcpi29YcQ/yfhN+FmJgY81XnCaw9j6drYb9ixQrt27cv0Tc8knTlyhVJko+Pj0W7j4+P+ZukK1euyMnJyWKkP6FPwvpXrlyRt7d3ou17e3ub+yRl4sSJFhNRJNi0aZPc3FJ+XxFgS4KDg9M7BCDNkefIDMjz54eDg4N8fX11584dRUdHp3c4VouJiVFsbKx5kCxBwuvY2FjFxMSYX7/33nuKjIxUp06ddOfOHZUtW1bff/+97O3tFRERoWzZsmnx4sUaNWqU5syZo/Lly+v999/XgAEDdPv2bdnZ2alAgQL65ZdfNH78eNWsWVOGYahAgQJq2bKl+X3i4+MVGRlpEdf9+/fNr3/++WeNHTtWr732mu7cuaPcuXOrZs2a5th79Oih8+fPq2vXrrKzs9Obb76pV199VREREYn2NUHJkiX12WefmeuMmjVrasiQIZo6dap5naioKMXFxSkiIkJxcXE6fPiwFi9erBs3bsjHx0c9evRQu3btFBERofLly2vRokWaOnWqJk+eLA8PD1WtWlW9e/dOdh/j4uIUFRWliIgI1a5dW3379tVbb72l6OhoBQYGaujQoZo0aVKS8Tzs66+/1sCBA1W5cmUVKFBA48aNU7t27RQfH2/1McT/iY6O1v379/XHH38oNjbWYtm9e/es2obJeJqbPVLBxYsXVbFiRa1bt848e2OtWrVUtmxZzZgxQyEhIapWrZouXbpkniBCknr27KmLFy8qKChIy5YtU9euXS1G1iUpMDBQhQsX1ty5czVhwgQtXrw40WX3AQEB6t69u3lWykclNWLv7++vy5cvy8vLK7UOA5ChxMTEKDg4WIGBgYnuyQKeF+Q5MgPy/PkTGRmpixcvqkCBAk+c1T2zMAxDt2/floeHxxPv+Uba2rZtm2rUqKETJ06YZ/CH9SIjI3Xu3Dn5+/sn+v0OCwtT7ty5FR4enmhiw4el24j93r17FRoaqgoVKpjb4uLi9Mcff2jWrFnmQvzKlSsWhX1oaKh5FN/X11fR0dG6efOmxah9aGioqlatau7z8P0fCa5du5boaoCHOTs7y9nZOVG7o6Mj/0HiuUeeIzMgz5EZkOfPj7i4OJlMJtnZ2cnOLt2nycoQEi4PTzgu+O+sXr1aWbJkUUBAgE6dOqVBgwapWrVqCggISO/QbJKdnZ1MJlOS52xrz+Hp9htQt25dHTp0SAcOHDD/VKxYUR06dNCBAwdUqFAh+fr6WlxCFh0drS1btpiL9goVKsjR0dGiz+XLl3X48GFznypVqig8PFy7du0y99m5c6fCw8PNfQAAAAAA1rl9+7b69eun4sWLq0uXLqpUqZJ++umn9A4rU0u3EXsPDw+VKlXKos3d3V1eXl7m9sGDB2vChAkKCAhQQECAJkyYIDc3N7Vv316S5Onpqe7du2vIkCHy8vJSjhw5NHToUJUuXVr16tWTJJUoUUINGzZUz5499cUXX0h68Li7Jk2aJDtxHgAAAAAgaZ06dVKnTp3SOww8JN1nxX+cYcOG6f79++rXr59u3rypypUra926deZn2EvS9OnT5eDgoDZt2uj+/fuqW7euFi1aZDGb4NKlSzVw4EDz7PnNmjXTrFmz/vP9AQAAAAAgtWWown7z5s0Wr00mk8aOHauxY8cmu46Li4tmzpypmTNnJtsnR44cWrJkSSpFCQAAAABAxsEsEwAAAAAA2DAKewAAAAAAbBiFPQAAAAAANozCHgAAAAAAG0ZhDwAAACDD2bx5s0wmk27duvXYfoUKFdKMGTNS7X1r1aqlwYMHp2idsWPHqmzZsubXXbp0UYsWLVIlHpPJpB9//DFVtvVf6tixoyZMmJDeYaSrqKgo5cuXT3v37k3z96KwBwAAAJBmrly5orfeekuFChWSs7Oz/P391bRpU23YsOGx61WtWlWXL1+Wp6enJGnRokXKli1bon47d+5Ur1690iL0p/bpp59q0aJF6R1Gujl48KB+/fVXvfXWW+a2Ll26yGQyWfy8/PLLFutFRUXprbfeUs6cOeXu7q5mzZrpn3/+sehz8+ZNdezYUZ6envL09FTHjh2f+OXP05gxY4YaNWqkwMBA9ezZU4ZhWCzv0qWLRowY8dhtODs7a+jQoRo+fHiqx/coCnsAAAAAaeLcuXOqUKGCNm7cqClTpujQoUMKCgpS7dq11b9//2TXi4mJkZOTk3x9fWUymR77Hrly5ZKbm1tqh/5MPD09k/wSIqOIjo5O0+3PmjVLr7/+ujw8PCzaGzZsqMuXL5t/1q5da7F88ODBWr16tVasWKE///xTd+7cUZMmTRQXF2fu0759ex04cEBBQUEKCgrSgQMH1LFjx1Tfh8GDBytPnjw6ffq0li1bptu3b5uXxcfH69dff1Xz5s2fuJ0OHTpo69atOnbsWKrH+DAKewAAAMBG3b17V3fv3rUYTYyOjtbdu3cVFRWVZN/4+HhzW0xMjO7evavIyEir+qZUv379ZDKZtGvXLrVu3VpFixbVCy+8oHfeeUc7duww9zOZTJo7d66aN28ud3d3jR8/3uJS/M2bN6tr164KDw83j/aOGzdOUuJL8W/duqVevXrJx8dHLi4uKlWqlH755RdJUlhYmNq1a6e8efPKzc1NpUuX1vLly1O8X5MmTZKPj488PDzUvXv3RMfv0Uvxv//+e5UuXVqurq7y8vJSvXr1dPfuXfPyBQsW6IUXXpCzs7Ny586tAQMGWGzv+vXratmypdzc3BQQEKA1a9aYl8XFxal79+4qWLCgXF1dVaxYMX366adJxjNx4kT5+fmpaNGikqSQkBCVLVtWLi4uqlixon788UeZTCYdOHDAvO7Ro0fVuHFjZcmSRT4+PurYsaOuX7+e7LGJj4/Xd999p2bNmiVa5uzsLF9fX/NPjhw5zMvCw8M1f/58TZs2TfXq1VO5cuW0ZMkSHTp0SOvXr5ckHTt2TEFBQfrqq69UpUoVValSRfPmzdMvv/yi48ePJxtTgQIFNH78eHXq1ElZsmRR/vz59dNPP+natWtq3ry5smTJotKlS2vPnj0W63311Vfav3+/3n33XYsvKbZt2yY7OztVrlxZ0dHRGjBggHLnzi0XFxcVKFBAEydONPf18vJS1apVnyrPUoLCHgAAALBRWbJkUZYsWSwKralTpypLliyJikNvb29lyZJFFy5cMLd9/vnnypIli7p3727Rt0CBAsqSJYvFKGNKLy2/ceOGgoKC1L9/f7m7uyda/uiI9pgxY9S8eXMdOnRI3bp1s1hWtWpVzZgxQ1mzZjWP9g4ZMiTRNuPj49WoUSOFhIRoyZIlOnr0qCZNmiR7e3tJUmRkpCpUqKBffvlFhw8fVq9evdSxY0ft3LnT6v1auXKlxowZo48++kh79uxR7ty5NXv27GT7X758We3atVO3bt107Ngxbd68Wa1atTJ/GTNnzhz1799fvXr10qFDh7RmzRoVKVLEYhvjxo1TmzZtdPDgQTVu3FgdOnTQjRs3zPucN29erVy5UkePHtXo0aM1cuRIrVy50mIbGzZs0LFjxxQcHKxffvlFt2/fVtOmTVW6dGnt27dPH374YaJLxi9fvqyaNWuqbNmy2rNnj4KCgnT16lW1adMm2f09ePCgbt26pYoVKyZatnnzZnl7e6to0aLq2bOnQkNDzcv27t2rmJgY1a9f39zm5+enUqVKKSQkRJK0fft2eXp6qnLlyuY+L7/8sjw9Pc19kjN9+nRVq1ZN+/fv16uvvqqOHTuqU6dOevPNN7Vv3z4VKVJEnTp1Mn8uCV/WuLi4aPHixfrrr7/M21qzZo2aNm0qOzs7ffbZZ1qzZo1Wrlyp48ePa8mSJSpQoIDFe7/00kvaunXrY+N7Vg5punUAAAAAmdKpU6dkGIaKFy9uVf/27dtbFPRnz541/9vJyUmenp4ymUzy9fWV9KCgjYiIsNjG+vXrtWvXLh07dsw8Kl2oUCHz8jx58mjo0KHm12+99ZaCgoL03XffWRSLjzNjxgx169ZNPXr0kCSNHz9e69evTzRqn+Dy5cuKjY1Vq1atlD9/fklS6dKlzcvHjx+vIUOGaNCgQea2SpUqWWyjS5cuateunSRpwoQJmjlzpnbt2qWGDRvK0dHRfPWCJBUsWFAhISFauXKlRQHu7u6ur776Sk5OTpKkuXPnymQyad68eXJxcVHJkiX177//qmfPnuZ15syZo/Lly1tMgrdgwQL5+/vrxIkT5mP8sHPnzsne3l7e3t4W7Y0aNdLrr7+u/Pnz6+zZs/rggw9Up04d7d27V87Ozrpy5YqcnJyUPXt2i/V8fHx05coVSQ/ma3h0u9KDL60S+iSncePG6t27tyRp9OjRmjNnjipVqqTXX39dkjR8+HBVqVJFV69ela+vr9q0aaPw8HCFhYWpXr16KlWqlHlba9as0ccffyxJunDhggICAlS9enWZTCbzZ/ywPHny6Ny5c4+N71lR2AMAAAA26s6dO5JkcY/5u+++q8GDB8vBwfJP/YTRUVdXV3Nb//791bNnT/OIdoKEIuThvl26dElRbAkjn0+6Rz5BUiO8KXXgwAHlzZs3yYJTenDZ+qRJk/Ttt9/q33//VVRUlKKiopK8oiA5x44dU58+fSzaqlSpok2bNiXZ/8UXX1TdunVVunRpNWjQQPXr11fr1q2VPXt2hYaG6tKlS6pbt+5j37NMmTLmf7u7u8vDw8NitHvu3Ln66quvdP78ed2/f1/R0dEWs/RLD75MSCjqJen48eMqU6aMXFxczG0vvfSSxTp79+7Vpk2blCVLlkQxnT59OsnjfP/+fTk7Oyf63Nu2bWv+d6lSpVSxYkXlz59fv/76q1q1apXsvhuGYbGtpPLp0T5JefgY+vj4SLL8giWhLTQ0VL6+vha3Ozzs2LFj+ueff1SvXj1JD34vAgMDVaxYMTVs2FBNmjSxuOpAevB7dO/evcfG96y4FB8AAACwUe7u7nJ3d7coapycnOTu7i5nZ+ck+9rZ/V8J4OjoKHd3d4vi7nF9UyIgIEAmk8nqScNSUlwn5+EvIpIybdo0TZ8+XcOGDdPGjRt14MABNWjQIE0nk7O3t1dwcLB+++03lSxZUjNnzlSxYsV09uzZJ8ab4NFjbzKZzPMfrFy5Um+//ba6deumdevW6cCBA+ratWuifXr0+CZVDD8683t8fLyaNm2qAwcOWPycPHlSNWrUSDLWnDlz6t69e088prlz51b+/Pl18uRJSZKvr6+io6N18+ZNi36hoaHmotvX11dXr15NtK1r166Z+yTn4WOYsN9JtT08r0RS1qxZo8DAQPNnV758eZ09e1Yffvih7t+/rzZt2qh169YW69y4cUO5cuV67HafFYU9AAAAgFSXI0cONWjQQJ9//rnFRHEJUvqIMicnJ4vZ0ZNSpkwZ/fPPPzpx4kSSy7du3armzZvrzTff1IsvvqhChQqZC0trlShRwmLiP0mJXj/KZDKpWrVqGjdunPbv3y8nJyetXr1aHh4eKlCgwBMf/fc4W7duVdWqVdWvXz+VK1dORYoU0enTp5+4XvHixXXw4EGLSRYfnTyufPnyOnLkiAoUKKAiRYpY/CT3RUzClQJHjx597PuHhYXp4sWLyp07tySpQoUKcnR0VHBwsLnP5cuXdfjwYVWtWlXSgysjwsPDtWvXLnOfnTt3Kjw83Nwnrf3000+JJgbMmjWr2rZtq3nz5unbb7/VDz/8YJ4DQZIOHz6scuXKpWlcFPYAAAAA0sTs2bMVFxenl156ST/88INOnjypY8eO6bPPPlOVKlVStK0CBQrozp072rBhg65fv57kpc01a9ZUjRo19Nprryk4OFhnz57Vb7/9pqCgIElSkSJFFBwcrJCQEB07dky9e/d+4r3Zjxo0aJAWLFigBQsW6MSJExozZoyOHDmSbP+dO3dqwoQJ2rNnjy5cuKBVq1bp2rVrKlGihCRp7NixmjZtmj777DOdPHlS+/bt08yZM62Op0iRItqzZ49+//13nThxQh988IF27979xPXat2+v+Ph49erVS8eOHdPvv/9uvm88YfS6f//+unHjhtq1a6ddu3bpzJkzWrdunbp165bslyy5cuVS+fLl9eeff5rb7ty5o6FDh2r79u06d+6cNm/erKZNmypnzpxq2bKlpAePCOzevbuGDBmiDRs2aP/+/XrzzTdVunRp82XvJUqUUMOGDdWzZ0/t2LFDO3bsUM+ePdWkSRMVK1bM6mP2tEJDQ7V79241adLE3DZ9+nStWLFCf//9t06cOKHvvvtOvr6+FpNDbt26NdHl+amNwh4AAABAmihYsKD27dun2rVra8iQISpVqpQCAwO1YcMGzZkzJ0Xbqlq1qvr06aO2bdsqV65cmjp1apL9fvjhB1WqVEnt2rVTyZIlNWzYMHMR+sEHH6h8+fJq0KCBatWqJV9fX4vH0lmjbdu2Gj16tIYPH64KFSro/Pnz6tu3b7L9s2bNqj/++EONGzdW0aJF9f7772vatGlq1KiRJKlz586aMWOGZs+erRdeeEFNmjRJ0VUEffr0UatWrdS2bVtVrlxZYWFh6tev3xPXy5o1q37++WcdOHBAZcuW1ahRozR69GhJMt+a4efnp23btikuLk4NGjRQqVKlNGjQIHl6elrcpvGoXr16aenSpebX9vb2OnTokJo3b66iRYuqc+fOKlq0qLZv327xGLnp06erRYsWatOmjapVqyY3Nzf9/PPPFnNALF26VKVLl1b9+vVVv359lSlTRt98843Vx+tZ/Pzzz6pcubLFBH5ZsmTR5MmTVbFiRVWqVEnnzp3T2rVrzcdn+/btCg8PT3R5fmozGY/eSIEkRUREyNPTU9evX5eXl1d6hwOkiZiYGK1du1aNGzdO8X10gK0gz5EZkOfPn8jISJ09e1YFCxZMdD98ZpUwK37WrFkfW2TCekuXLlXXrl0VHh5u9f3/SYmMjFSxYsW0YsWKFF+ZkZE1a9ZM1atX17Bhw6xe5/XXX1e5cuU0cuTIZPs87vc7LCxMOXPmVHh4uLJmzZrsNpgVHwAAAAAyoa+//lqFChVSnjx59Ndff2n48OFq06bNMxX10oMR/6+//lrXr19PpUgzhurVq5sfO2iNqKgovfjii3r77bfTMKoHKOwBAAAAIBO6cuWKRo8erStXrih37tx6/fXX9dFHH6XKtmvWrJkq28lIUjJSL0nOzs56//330ygaSxT2AAAAAJAJDRs2LMXFKjImbkYBAAAAAMCGUdgDAAAANoJ5r4HnT2r8XlPYAwAAABlcwuO+oqOj0zkSAKnt3r17kvRMTzHhHnsAAAAgg3NwcJCbm5uuXbsmR0dHHu+mB4+7i46OVmRkJMcDNskwDN27d0+hoaHKli2b+Qu8p0FhDwAAAGRwJpNJuXPn1tmzZ3X+/Pn0DidDMAxD9+/fl6urq0wmU3qHAzy1bNmyydfX95m2QWEPAAAA2AAnJycFBARwOf7/FxMToz/++EM1atR4pkuYgfTk6Oj4TCP1CSjsAQAAABthZ2cnFxeX9A4jQ7C3t1dsbKxcXFwo7JHpcTMKAAAAAAA2jMIeAAAAAAAbRmEPAAAAAIANo7AHAAAAAMCGUdgDAAAAAGDDKOwBAAAAALBhFPYAAAAAANgwCnsAAAAAAGwYhT0AAAAAADaMwh4AAAAAABtGYQ8AAAAAgA2jsAcAAAAAwIZR2AMAAAAAYMMo7AEAAAAAsGEU9gAAAAAA2DAKewAAAAAAbBiFPQAAAAAANozCHgAAAAAAG0ZhDwAAAACADaOwBwAAAADAhlHYAwAAAABgwyjsAQAAAACwYRT2AAAAAADYMAp7AAAAAABsGIU9AAAAAAA2jMIeAAAAAAAbRmEPAAAAAIANo7AHAAAAAMCGUdgDAAAAAGDDKOwBAAAAALBhFPYAAAAAANgwCnsAAAAAAGwYhT0AAAAAADYsXQv7OXPmqEyZMsqaNauyZs2qKlWq6LfffjMvNwxDY8eOlZ+fn1xdXVWrVi0dOXLEYhtRUVF66623lDNnTrm7u6tZs2b6559/LPrcvHlTHTt2lKenpzw9PdWxY0fdunXrv9hFAAAAAADSVLoW9nnz5tWkSZO0Z88e7dmzR3Xq1FHz5s3NxfuUKVP0ySefaNasWdq9e7d8fX0VGBio27dvm7cxePBgrV69WitWrNCff/6pO3fuqEmTJoqLizP3ad++vQ4cOKCgoCAFBQXpwIED6tix43++vwAAAAAApDaH9Hzzpk2bWrz+6KOPNGfOHO3YsUMlS5bUjBkzNGrUKLVq1UqStHjxYvn4+GjZsmXq3bu3wsPDNX/+fH3zzTeqV6+eJGnJkiXy9/fX+vXr1aBBAx07dkxBQUHasWOHKleuLEmaN2+eqlSpouPHj6tYsWL/7U4DAAAAAJCK0rWwf1hcXJy+++473b17V1WqVNHZs2d15coV1a9f39zH2dlZNWvWVEhIiHr37q29e/cqJibGoo+fn59KlSqlkJAQNWjQQNu3b5enp6e5qJekl19+WZ6engoJCUm2sI+KilJUVJT5dUREhCQpJiZGMTExqb37QIaQkNvkOJ5n5DkyA/IcmQF5jszA2vxOcWF/7tw5bd26VefOndO9e/eUK1culStXTlWqVJGLi0uKAz106JCqVKmiyMhIZcmSRatXr1bJkiUVEhIiSfLx8bHo7+Pjo/Pnz0uSrly5IicnJ2XPnj1RnytXrpj7eHt7J3pfb29vc5+kTJw4UePGjUvUvmnTJrm5uaVsJwEbExwcnN4hAGmOPEdmQJ4jMyDP8Ty7d++eVf2sLuyXLVumzz77TLt27ZK3t7fy5MkjV1dX3bhxQ6dPn5aLi4s6dOig4cOHK3/+/FYHWqxYMR04cEC3bt3SDz/8oM6dO2vLli3m5SaTyaK/YRiJ2h71aJ+k+j9pO++9957eeecd8+uIiAj5+/urdu3a8vLyeuJ+AbYoJiZGwcHBCgwMlKOjY3qHA6QJ8hyZAXmOzIA8R2YQFhZmVT+rCvvy5cvLzs5OXbp00cqVK5UvXz6L5VFRUdq+fbtWrFihihUravbs2Xr99detCsDJyUlFihSRJFWsWFG7d+/Wp59+quHDh0t6MOKeO3duc//Q0FDzKL6vr6+io6N18+ZNi1H70NBQVa1a1dzn6tWrid732rVria4GeJizs7OcnZ0TtTs6OnLiwHOPPEdmQJ4jMyDPkRmQ53ieWZvbVs2K/+GHH2rPnj0aMGBAoqJeelAE16pVS3PnztWxY8dUoECBFAX7MMMwFBUVpYIFC8rX19fi0pro6Ght2bLFXLRXqFBBjo6OFn0uX76sw4cPm/tUqVJF4eHh2rVrl7nPzp07FR4ebu4DAAAAAICtsmrE/tVXX7V6gzlz5lTOnDmt6jty5Eg1atRI/v7+un37tlasWKHNmzcrKChIJpNJgwcP1oQJExQQEKCAgABNmDBBbm5uat++vSTJ09NT3bt315AhQ+Tl5aUcOXJo6NChKl26tHmW/BIlSqhhw4bq2bOnvvjiC0lSr1691KRJE2bEBwAAAADYvBRPnrdv3z45OjqqdOnSkqSffvpJCxcuVMmSJTV27Fg5OTlZva2rV6+qY8eOunz5sjw9PVWmTBkFBQUpMDBQkjRs2DDdv39f/fr1082bN1W5cmWtW7dOHh4e5m1Mnz5dDg4OatOmje7fv6+6detq0aJFsre3N/dZunSpBg4caJ49v1mzZpo1a1ZKdx0AAAAAgAwnxYV97969NWLECJUuXVpnzpzRG2+8oZYtW+q7777TvXv3NGPGDKu3NX/+/McuN5lMGjt2rMaOHZtsHxcXF82cOVMzZ85Mtk+OHDm0ZMkSq+MCAAAAAMBWWHWP/cNOnDihsmXLSpK+++471ahRQ8uWLdOiRYv0ww8/pHZ8AAAAAADgMVJc2BuGofj4eEnS+vXr1bhxY0mSv7+/rl+/nrrRAQAAAACAx0pxYV+xYkWNHz9e33zzjbZs2WKeWO/s2bOPfXwcAAAAAABIfSku7GfMmKF9+/ZpwIABGjVqlPkZ9N9//z2PjwMAAAAA4D9m9eR5J06cUNGiRVWmTBkdOnQo0fKpU6dazEQPAAAAAADSntUj9uXKlVOJEiU0fPhwbd++PdFyFxcXOTo6pmpwAAAAAADg8awu7MPCwjRlyhSFhYWpZcuW8vHxUffu3bVmzRpFRkamZYwAAAAAACAZVhf2Li4uatq0qb766itdvnxZq1evVq5cuTRixAh5eXmpefPmWrBggUJDQ9MyXgAAAAAA8JAUT54nSSaTSVWrVtWkSZN09OhRHThwQDVq1NCiRYvk7++vzz//PLXjBAAAAAAASbB68rzHCQgI0JAhQzRkyBCFhYXpxo0bqbFZAAAAAADwBFaP2K9atUqdOnVSUFCQypcvrx9++CHJfl5eXgoICEi1AAEAAAAAQPKsLuxnz56tn3/+Wfb29po0aZLGjRuXlnEBAAAAAAArWH0pvp2dnV544QUFBgZKkrJnz55mQQEAAAAAAOtYPWKfM2dOff311+bXcXFxaRIQAAAAAACwntUj9l999ZXc3NwkSdHR0Zo+fXqaBQUAAAAAAKxj9Yh9QlEvSU5OTqpUqVKaBAQAAAAAAKyX4sfdRUZGaubMmdq0aZNCQ0MVHx9vsXzfvn2pFhwAAAAAAHi8FBf23bp1U3BwsFq3bq2XXnpJJpMpLeICAAAAAABWSHFh/+uvv2rt2rWqVq1aWsQDAAAAAABSwOp77BPkyZNHHh4eaRELAAAAAABIoRQX9tOmTdPw4cN1/vz5tIgHAAAAAACkQIovxa9YsaIiIyNVqFAhubm5ydHR0WL5jRs3Ui04AAAAAADweCku7Nu1a6d///1XEyZMkI+PD5PnAQAAAACQjlJc2IeEhGj79u168cUX0yIeAAAAAACQAim+x7548eK6f/9+WsQCAAAAAABSKMWF/aRJkzRkyBBt3rxZYWFhioiIsPgBAAAAAAD/nRRfit+wYUNJUt26dS3aDcOQyWRSXFxc6kQGAAAAAACeKMWF/aZNm9IiDgAAAAAA8BRSXNjXrFkzLeIAAAAAAABPwap77C9cuJCijf77779PFQwAAAAAAEgZqwr7SpUqqWfPntq1a1eyfcLDwzVv3jyVKlVKq1atSrUAAQAAAABA8qy6FP/YsWOaMGGCGjZsKEdHR1WsWFF+fn5ycXHRzZs3dfToUR05ckQVK1bU1KlT1ahRo7SOGwAAAAAAyMoR+xw5cujjjz/WpUuXNGfOHBUtWlTXr1/XyZMnJUkdOnTQ3r17tW3bNop6AAAAAAD+QymaPM/FxUWtWrVSq1at0ioeAAAAAACQAlaN2AMAAAAAgIyJwh4AAAAAABtGYQ8AAAAAgA2jsAcAAAAAwIZR2AMAAAAAYMOeqrD/5ptvVK1aNfn5+en8+fOSpBkzZuinn35K1eAAAAAAAMDjpbiwnzNnjt555x01btxYt27dUlxcnCQpW7ZsmjFjRmrHBwAAAAAAHiPFhf3MmTM1b948jRo1Svb29ub2ihUr6tChQ6kaHAAAAAAAeLwUF/Znz55VuXLlErU7Ozvr7t27qRIUAAAAAACwTooL+4IFC+rAgQOJ2n/77TeVLFkyNWICAAAAAABWckjpCu+++6769++vyMhIGYahXbt2afny5Zo4caK++uqrtIgRAAAAAAAkI8WFfdeuXRUbG6thw4bp3r17at++vfLkyaNPP/1Ub7zxRlrECAAAAAAAkpHiwl6SevbsqZ49e+r69euKj4+Xt7d3ascFAAAAAACs8FSFfYKcOXOmVhwAAAAAAOAppLiwL1eunEwmU6J2k8kkFxcXFSlSRF26dFHt2rVTJUAAAAAAAJC8FM+K37BhQ505c0bu7u6qXbu2atWqpSxZsuj06dOqVKmSLl++rHr16umnn35Ki3gBAAAAAMBDUjxif/36dQ0ZMkQffPCBRfv48eN1/vx5rVu3TmPGjNGHH36o5s2bp1qgAAAAAAAgsRSP2K9cuVLt2rVL1P7GG29o5cqVkqR27drp+PHjzx4dAAAAAAB4rBQX9i4uLgoJCUnUHhISIhcXF0lSfHy8nJ2dnz06AAAAAADwWCm+FP+tt95Snz59tHfvXlWqVEkmk0m7du3SV199pZEjR0qSfv/9d5UrVy7VgwUAAAAAAJZSXNi///77KliwoGbNmqVvvvlGklSsWDHNmzdP7du3lyT16dNHffv2Td1IAQAAAABAIikq7GNjY/XRRx+pW7du6tChQ7L9XF1dnzkwAAAAAADwZCm6x97BwUFTp05VXFxcWsUDAAAAAABSIMWT59WrV0+bN29Og1AAAAAAAEBKpfge+0aNGum9997T4cOHVaFCBbm7u1ssb9asWaoFBwAAAAAAHi/FI/Z9+/bV1atX9cknn6hDhw5q0aKF+adly5Yp2tbEiRNVqVIleXh4yNvbWy1atNDx48ct+hiGobFjx8rPz0+urq6qVauWjhw5YtEnKipKb731lnLmzCl3d3c1a9ZM//zzj0WfmzdvqmPHjvL09JSnp6c6duyoW7dupXT3AQAAAADIUFJc2MfHxyf7k9J777ds2aL+/ftrx44dCg4OVmxsrOrXr6+7d++a+0yZMkWffPKJZs2apd27d8vX11eBgYG6ffu2uc/gwYO1evVqrVixQn/++afu3LmjJk2aWMTTvn17HThwQEFBQQoKCtKBAwfUsWPHlO4+AAAAAAAZSoovxU9NQUFBFq8XLlwob29v7d27VzVq1JBhGJoxY4ZGjRqlVq1aSZIWL14sHx8fLVu2TL1791Z4eLjmz5+vb775RvXq1ZMkLVmyRP7+/lq/fr0aNGigY8eOKSgoSDt27FDlypUlSfPmzVOVKlV0/PhxFStW7L/dcQAAAAAAUslTFfZ3797Vli1bdOHCBUVHR1ssGzhw4FMHEx4eLknKkSOHJOns2bO6cuWK6tevb+7j7OysmjVrKiQkRL1799bevXsVExNj0cfPz0+lSpVSSEiIGjRooO3bt8vT09Nc1EvSyy+/LE9PT4WEhCRZ2EdFRSkqKsr8OiIiQpIUExOjmJiYp95HICNLyG1yHM8z8hyZAXmOzIA8R2ZgbX6nuLDfv3+/GjdurHv37unu3bvKkSOHrl+/Ljc3N3l7ez91YW8Yht555x1Vr15dpUqVkiRduXJFkuTj42PR18fHR+fPnzf3cXJyUvbs2RP1SVj/ypUr8vb2TvSe3t7e5j6PmjhxosaNG5eofdOmTXJzc0vh3gG2JTg4OL1DANIceY7MgDxHZkCe43l27949q/qluLB/++231bRpU82ZM0fZsmXTjh075OjoqDfffFODBg1KcaAJBgwYoIMHD+rPP/9MtMxkMlm8NgwjUdujHu2TVP/Hbee9997TO++8Y34dEREhf39/1a5dW15eXo99b8BWxcTEKDg4WIGBgXJ0dEzvcIA0QZ4jMyDPkRmQ58gMwsLCrOqX4sL+wIED+uKLL2Rvby97e3tFRUWpUKFCmjJlijp37my+Fz4l3nrrLa1Zs0Z//PGH8ubNa2739fWV9GDEPXfu3Ob20NBQ8yi+r6+voqOjdfPmTYtR+9DQUFWtWtXc5+rVq4ne99q1a4muBkjg7OwsZ2fnRO2Ojo6cOPDcI8+RGZDnyAzIc2QG5DmeZ9bmdopnxXd0dDSPcvv4+OjChQuSJE9PT/O/rWUYhgYMGKBVq1Zp48aNKliwoMXyggULytfX1+LymujoaG3ZssVctFeoUEGOjo4WfS5fvqzDhw+b+1SpUkXh4eHatWuXuc/OnTsVHh5u7gMAAAAAgC1K8Yh9uXLltGfPHhUtWlS1a9fW6NGjdf36dX3zzTcqXbp0irbVv39/LVu2TD/99JM8PDzM97t7enrK1dVVJpNJgwcP1oQJExQQEKCAgABNmDBBbm5uat++vblv9+7dNWTIEHl5eSlHjhwaOnSoSpcubZ4lv0SJEmrYsKF69uypL774QpLUq1cvNWnShBnxAQAAAAA2LcWF/YQJE8zPkP/www/VuXNn9e3bV0WKFNHChQtTtK05c+ZIkmrVqmXRvnDhQnXp0kWSNGzYMN2/f1/9+vXTzZs3VblyZa1bt04eHh7m/tOnT5eDg4PatGmj+/fvq27dulq0aJHs7e3NfZYuXaqBAweaZ89v1qyZZs2aldLdBwAAAAAgQ0lxYV+xYkXzv3PlyqW1a9c+9ZsbhvHEPiaTSWPHjtXYsWOT7ePi4qKZM2dq5syZyfbJkSOHlixZ8jRhAgAAAACQYaX4HnsAAAAAAJBxpLiwv3r1qjp27Cg/Pz85ODiYZ8dP+AEAAAAAAP+dFF+K36VLF124cEEffPCBcufO/cTnyQMAAAAAgLST4sL+zz//1NatW1W2bNk0CAcAAAAAAKREii/F9/f3t2rSOwAAAAAAkPZSXNjPmDFDI0aM0Llz59IgHAAAAAAAkBJWXYqfPXt2i3vp7969q8KFC8vNzU2Ojo4WfW/cuJG6EQIAAAAAgGRZVdjPmDEjjcMAAAAAAABPw6rCvnPnzmkdBwAAAAAAeAopvsd+7dq1+v333xO1r1u3Tr/99luqBAUAAAAAAKyT4sJ+xIgRiouLS9QeHx+vESNGpEpQAAAAAADAOiku7E+ePKmSJUsmai9evLhOnTqVKkEBAAAAAADrpLiw9/T01JkzZxK1nzp1Su7u7qkSFAAAAAAAsE6KC/tmzZpp8ODBOn36tLnt1KlTGjJkiJo1a5aqwQEAAAAAgMdLcWE/depUubu7q3jx4ipYsKAKFiyoEiVKyMvLSx9//HFaxAgAAAAAAJJh1ePuHubp6amQkBAFBwfrr7/+kqurq8qUKaMaNWqkRXwAAAAAAOAxUlzYS5LJZFL9+vVVv359SdKtW7dSMyYAAAAAAGClFF+KP3nyZH377bfm123atJGXl5fy5Mmjv/76K1WDAwAAAAAAj5fiwv6LL76Qv7+/JCk4OFjBwcH67bff1KhRI7377rupHiAAAAAAAEheii/Fv3z5srmw/+WXX9SmTRvVr19fBQoUUOXKlVM9QAAAAAAAkLwUj9hnz55dFy9elCQFBQWpXr16kiTDMBQXF5e60QEAAAAAgMdK8Yh9q1at1L59ewUEBCgsLEyNGjWSJB04cEBFihRJ9QABAAAAAEDyUlzYT58+XQUKFNDFixc1ZcoUZcmSRdKDS/T79euX6gECAAAAAIDkpbiwd3R01NChQxO1Dx48ODXiAQAAAAAAKWBVYb9mzRo1atRIjo6OWrNmzWP7NmvWLFUCAwAAAAAAT2ZVYd+iRQtduXJF3t7eatGiRbL9TCYTE+gBAAAAAPAfsqqwj4+PT/LfAAAAAAAgfaX4cXcAAAAAACDjSNHkefHx8Vq0aJFWrVqlc+fOyWQyqWDBgmrdurU6duwok8mUVnECAAAAAIAkWD1ibxiGmjVrph49eujff/9V6dKl9cILL+j8+fPq0qWLWrZsmZZxAgAAAACAJFg9Yr9o0SL98ccf2rBhg2rXrm2xbOPGjWrRooW+/vprderUKdWDBAAAAAAASbN6xH758uUaOXJkoqJekurUqaMRI0Zo6dKlqRocAAAAAAB4PKsL+4MHD6phw4bJLm/UqJH++uuvVAkKAAAAAABYx+rC/saNG/Lx8Ul2uY+Pj27evJkqQQEAAAAAAOtYXdjHxcXJwSH5W/Lt7e0VGxubKkEBAAAAAADrWD15nmEY6tKli5ydnZNcHhUVlWpBAQAAAAAA61hd2Hfu3PmJfZgRHwAAAACA/5bVhf3ChQvTMg4AAAAAAPAUrL7HHgAAAAAAZDwU9gAAAAAA2DAKewAAAAAAbBiFPQAAAAAANozCHgAAAAAAG0ZhDwAAAACADaOwBwAAAADAhlHYAwAAAABgwyjsAQAAAACwYRT2AAAAAADYMAp7AAAAAABsGIU9AAAAAAA2jMIeAAAAAAAbRmEPAAAAAIANo7AHAAAAAMCGUdgDAAAAAGDDKOwBAAAAALBhFPYAAAAAANgwCnsAAAAAAGwYhT0AAAAAADaMwh4AAAAAABuWroX9H3/8oaZNm8rPz08mk0k//vijxXLDMDR27Fj5+fnJ1dVVtWrV0pEjRyz6REVF6a233lLOnDnl7u6uZs2a6Z9//rHoc/PmTXXs2FGenp7y9PRUx44ddevWrTTeOwAAAAAA0l66FvZ3797Viy++qFmzZiW5fMqUKfrkk080a9Ys7d69W76+vgoMDNTt27fNfQYPHqzVq1drxYoV+vPPP3Xnzh01adJEcXFx5j7t27fXgQMHFBQUpKCgIB04cEAdO3ZM8/0DAAAAACCtOaTnmzdq1EiNGjVKcplhGJoxY4ZGjRqlVq1aSZIWL14sHx8fLVu2TL1791Z4eLjmz5+vb775RvXq1ZMkLVmyRP7+/lq/fr0aNGigY8eOKSgoSDt27FDlypUlSfPmzVOVKlV0/PhxFStW7L/ZWQAAAAAA0kC6FvaPc/bsWV25ckX169c3tzk7O6tmzZoKCQlR7969tXfvXsXExFj08fPzU6lSpRQSEqIGDRpo+/bt8vT0NBf1kvTyyy/L09NTISEhyRb2UVFRioqKMr+OiIiQJMXExCgmJia1dxfIEBJymxzH84w8R2ZAniMzIM+RGVib3xm2sL9y5YokycfHx6Ldx8dH58+fN/dxcnJS9uzZE/VJWP/KlSvy9vZOtH1vb29zn6RMnDhR48aNS9S+adMmubm5pWxnABsTHByc3iEAaY48R2ZAniMzIM/xPLt3755V/TJsYZ/AZDJZvDYMI1Hbox7tk1T/J23nvffe0zvvvGN+HRERIX9/f9WuXVteXl7Whg/YlJiYGAUHByswMFCOjo7pHQ6QJshzZAbkOTID8hyZQVhYmFX9Mmxh7+vrK+nBiHvu3LnN7aGhoeZRfF9fX0VHR+vmzZsWo/ahoaGqWrWquc/Vq1cTbf/atWuJrgZ4mLOzs5ydnRO1Ozo6cuLAc488R2ZAniMzIM+RGZDneJ5Zm9sZ9jn2BQsWlK+vr8WlNdHR0dqyZYu5aK9QoYIcHR0t+ly+fFmHDx8296lSpYrCw8O1a9cuc5+dO3cqPDzc3AcAAAAAAFuVriP2d+7c0alTp8yvz549qwMHDihHjhzKly+fBg8erAkTJiggIEABAQGaMGGC3Nzc1L59e0mSp6enunfvriFDhsjLy0s5cuTQ0KFDVbp0afMs+SVKlFDDhg3Vs2dPffHFF5KkXr16qUmTJsyIDwAAAACweela2O/Zs0e1a9c2v064p71z585atGiRhg0bpvv376tfv366efOmKleurHXr1snDw8O8zvTp0+Xg4KA2bdro/v37qlu3rhYtWiR7e3tzn6VLl2rgwIHm2fObNWumWbNm/Ud7CQAAAABA2knXwr5WrVoyDCPZ5SaTSWPHjtXYsWOT7ePi4qKZM2dq5syZyfbJkSOHlixZ8iyhAgAAAACQIWXYe+wBAAAAAMCTUdgDAAAAAGDDKOwBAAAAALBhFPYAAAAAANgwCnsAAAAAAGwYhT0AAAAAADaMwh4AAAAAABtGYQ8AAAAAgA2jsAcAAAAAwIZR2AMAAAAAYMMo7AEAAAAAsGEU9gAAAAAA2DAKewAAAAAAbBiFPQAAAAAANozCHgAAAAAAG0ZhDwAAAACADaOwBwAAAADAhlHYAwAAAABgwyjsAQAAAACwYRT2AAAAAADYMAp7AAAAAABsGIU9AAAAAAA2jMIeAAAAAAAbRmEPAAAAAIANo7AHAAAAAMCGUdgDAAAAAGDDHNI7AFtz9+5d5ciRQyaTSZIUHR2tmJgYOTg4yNnZ2aKfJLm6usrO7sH3JzExMYqOjpa9vb1cXFyequ+9e/dkGIZcXFxkb28vSYqNjVVUVJTs7Ozk6ur6VH3v37+v+Ph4OTs7y8HhQVrExcUpMjIyRX1NJpPc3NzMfSMjIxUXFycnJyc5OjqmuG98fLzu378vSXJ3dzf3jYqKUmxsrBwdHeXk5JTivoZh6N69e5IkNze3RJ9nSvpa89mnRp4k9XmmRp4kfJ4Prx8bG6vo6Ohn+uyfNU+S+zyfNU8e/jyfNU+S+zyfNk84R/w354iYmBg9jHOE9eeIZ8kTzhH//TkiMjJSkZGR5uMgcY543OfJ3xG2fY6Ijo7mHMHfESnuawvniKioKFnFgFXCw8MNSYYkIzQ01Nw+fvx4Q5LRo0cPi/5ubm6GJOPs2bPmtunTpxuSjPbt21v0zZkzpyHJOHz4sLntyy+/NCQZzZs3t+ibP39+Q5Kxa9cuc9uSJUsMSUa9evUs+pYsWdKQZGzatMnctnr1akOSUbVqVYu+FStWNCQZv/zyi7lt3bp1hiTjxRdftOhbs2ZNQ5KxcuVKc9uff/5pSDKKFCli0bdx48aGJGPhwoXmtv379xuSDD8/P4u+rVu3NiQZs2bNMredOHHCkGR4enpa9O3cubMhyZgyZYq57Z9//jEkGQ4ODhZ9+/XrZ0gyxowZY267efOm+fOMjo42tw8dOtSQZAwdOtTcFh0dbe578+ZNc/uYMWMMSUa/fv0s3s/BwcGQZPzzzz/mtilTphiSjM6dO1v09fT0NCQZJ06cMLfNmjXLkGS0bt3aoq+fn58hydi/f7+5beHChYYko3HjxhZ9ixQpYkgy/vzzT3PbypUrDUlGzZo1Lfq++OKLhiRj3bp1RnR0tPHjjz8aP/74oyHJqFixokXfqlWrGpKM1atXm9s2bdpkSDJKlixp0bdevXqGJGPJkiXmtl27dhmSjPz581v0bd68uSHJ+PLLL81thw8fNiQZOXPmtOjbvn17Q5Ixffp0c9vZs2cNSYabm5tF3x49ehiSjPHjx5vbQkNDzZ/nwwYNGmRIMkaOHGluu3PnjrnvnTt3zO0jR440JBmDBg2y2AbniAds4Rzx448/mn/3OUc8YM05IsEvv/zCOcLI2OeIOXPmGJKMpk2bWvTlHPEAf0c8YOvniIS/W5o2bco5wuDviATP2zmiW7duhiQjPDzceBwuxQcAAAAAwIaZDMMw0jsIWxARESFPT0+dP39e/v7+XB7D5THP5SV08fHxWrt2rerXr6/4+Hgus+USOqs+T1s7R8TExGjLli1q3LixHB0dOUfYyGW2nCNSdo64d++efv75ZzVu3FgeHh7mvpwjkv88+TvC9s4RMTExWrt2rerUqSM7OzvOEfwdkeK+tnCOCA8PV548eRQeHq6sWbMqORT2Vkoo7K9fvy4vL6/0DgdIEwn/QSYUPMDziDxHZkCeIzMgz5EZhIWFKWfOnE8s7LkUHwAAAAAAG0ZhDwAAAACADaOwBwAAAADAhlHYAwAAAABgwyjsAQAAAACwYRT2AAAAAADYMAp7AAAAAABsGIU9AAAAAAA2jMIeAAAAAAAbRmEPAAAAAIANo7AHAAAAAMCGUdgDAAAAAGDDKOwBAAAAALBhFPYAAAAAANgwCnsAAAAAAGwYhT0AAAAAADaMwh4AAAAAABtGYQ8AAAAAgA2jsAcAAAAAwIZR2AMAAAAAYMMo7AEAAAAAsGEU9gAAAAAA2DAKewAAAAAAbBiFPQAAAAAANozCHgAAAAAAG0ZhDwAAAACADaOwBwAAAADAhlHYAwAAAABgwzJVYT979mwVLFhQLi4uqlChgrZu3ZreIQEAAAAA8EwyTWH/7bffavDgwRo1apT279+vV155RY0aNdKFCxfSOzQAAAAAAJ5apinsP/nkE3Xv3l09evRQiRIlNGPGDPn7+2vOnDnpHRoAAAAAAE/NIb0D+C9ER0dr7969GjFihEV7/fr1FRISkuQ6UVFRioqKMr+OiIiQJMXExCgmJibtggXSUUJuk+N4npHnyAzIc2QG5DkyA2vzO1MU9tevX1dcXJx8fHws2n18fHTlypUk15k4caLGjRuXqH3Tpk1yc3NLkziBjCI4ODi9QwDSHHmOzIA8R2ZAnuN5du/ePav6ZYrCPoHJZLJ4bRhGorYE7733nt555x3z64iICPn7+6t27dry8vJK0ziB9BITE6Pg4GAFBgbK0dExvcMB0gR5jsyAPEdmQJ4jMwgLC7OqX6Yo7HPmzCl7e/tEo/OhoaGJRvETODs7y9nZOVG7o6MjJw4898hzZAbkOTID8hyZAXmO55m1uZ0pJs9zcnJShQoVEl2mExwcrKpVq6ZTVAAAAAAAPLtMMWIvSe+88446duyoihUrqkqVKvryyy914cIF9enTJ71DAwAAAADgqWWawr5t27YKCwvT//73P12+fFmlSpXS2rVrlT9//vQODQAAAACAp5ZpCntJ6tevn/r165feYQAAAAAAkGoyxT32AAAAAAA8ryjsAQAAAACwYRT2AAAAAADYMAp7AAAAAABsGIU9AAAAAAA2jMIeAAAAAAAbRmEPAAAAAIANo7AHAAAAAMCGOaR3ALbCMAxJ0u3bt+Xo6JjO0QBpIyYmRvfu3VNERAR5jucWeY7MgDxHZkCeIzO4ffu2pP+rR5NDYW+lsLAwSVLBggXTORIAAAAAQGYSFhYmT0/PZJdT2FspR44ckqQLFy489oBmRJUqVdLu3bvTO4wUs9W4JduNPSIiQv7+/rp48aKyZs2a3uGkiK0ec1uNW7Ld2Mnz/56txi3Zbuzk+X/PVuOWbDd28jx92Grsthp3eHi48uXLZ65Hk0NhbyU7uwfTEXh6etrcicPe3t7mYpZsN27JtmOXpKxZs9pc/LZ6zG01bsm2Y5fI8/+SrcYt2XbsEnn+X7LVuCXbjl0iz/9rthq7rcadIKEeTXb5fxQH0lH//v3TO4SnYqtxS7Ydu62y1WNuq3FLth27rbLVY26rcUu2HbutstVjbqtxS7Ydu62y5WNuq7HbatzWMhlPugsfkh5c6uPp6anw8HCb/qYHeBzyHJkBeY7MgDxHZkCeIzOwNs8ZsbeSs7OzxowZI2dn5/QOBUgz5DkyA/IcmQF5jsyAPEdmYG2eM2IPAAAAAIANY8QeAAAAAAAbRmEPAAAAAIANo7AHAAAAAMCGUdgDAAAAAGDDKOz/P+YQBIDnA+dzAACQ2VDYSwoNDdXt27fNr/mjEM+j+Ph4SVJcXFw6RwKknfDwcIsc53yO51FoaKiuXbum6OhoSf93fgeeJ6dOnVJwcHB6hwHYDIf0DiA9xcbGqnfv3tqwYYO8vb0VEBCgTz/9VDlz5kzv0IBUExMTo0GDBikmJkbz5s2TnR3f5+H5ExMTo8GDB+vAgQNyd3fXK6+8opEjR8re3j69QwNSTUxMjN566y1t3rxZ2bJlU7Zs2fTTTz/xDG88dw4ePKiyZcsqR44c2rt3r/Lnz5/eIQEZXqb9Cz82NlZdunTR0aNHtXjxYrVr104HDx5Uq1atdOzYsfQOD0gVO3fuVL169fT9999r8eLF2rZtm0wmE6P2eK4EBwerZMmSOnLkiN599135+/tr6dKlGjt2rCRG7fF8+P7771WiRAn9/fffmjNnjrp3766TJ09qyJAh6R0akOqio6PVoEEDOTo6asqUKekdDmATMm1hf/nyZe3atUv9+/dXzZo19fbbbys4OFhnzpzRnDlzdPXq1fQOEXhmO3bsUEBAgBYvXqymTZua/wBkFBPPi4iICK1cuVINGjRQcHCwWrRooTlz5uiNN97Q7t27de/ePZlMpvQOE3hmmzdvVvv27bV+/XrVrl1bPXv21CuvvMJoPZ5L+/btU/bs2bV06VJ9+eWX2rVrV3qHBGR4mbawDwsL0z///KOXX35ZkhQVFSVfX1+99957Wrdunf744490jhB4egkjlK+99preeecdNWrUSL169dKZM2c0f/58SQ+uWgFsXVxcnKpXr64ePXrI0dFRhmHIyclJkZGRun//vtzc3Bixh01LuH/+/fffV8+ePeXg8OAuyvPnz+vQoUPy8/PTzp070zNEIFU8fK52dnZW/vz5VadOHVWqVEnjxo2T9ODLXABJMxmZ4C+eL7/8UiaTScWKFVONGjUkSXfv3lXp0qXVqVMnjR07VjExMXJ0dJQkVapUSaVLl9acOXP4Jhw2IyHPixYtqpo1a0p68J9kwmhlWFiYxo0bpx9//FFnz56Vvb29xXLAFjwpz+Pi4mRvb6++ffsqMjJSCxcuTM9wgafypDyfOXOmBg0apGrVqsne3l4HDx7UoEGDNGLECP5ugc1IKs/j4+NlZ2enQYMGKT4+XjNnztTZs2dVpEgR1a9fX7du3dLChQtVvHjxdI4eyHie6xH75cuXy8fHR4sWLdLs2bPVunVrTZgwQdKDP/5ef/11LV++XKGhoXJ0dFRkZKQk6a233tLq1asZ5YFNeDTPX3/9dU2cOFGS5UzJXl5eevPNN+Xi4qIRI0ZI4t5j2I6k8jzhfP5wnidMDrl//35Vr15dEnkO22Ht+Txr1qzasmWL/vjjD23evFkzZ87U5MmTdeXKlfQKHbDa4/I84WrC0NBQtWjRQpK0YcMGOTs7a8OGDRo6dChFPZAc4zm1dOlS48UXXzTmzp1rGIZh/Pvvv8asWbMMd3d3Izw83DAMwwgODjYqVapk9OvXzzAMw4iPjzcMwzA2bdpkeHt7G3/99Vf6BA9Y6XF5HhERkaj/vXv3jKlTpxqenp7GuXPnDMN4kO8JvxNARpTSPD979qyRK1cu4++//za3nT592jAMw4iLi/tvggZSyJo8j42NTXLdY8eOGQ4ODsa6dev+s3iBp2Ht+bxz585Gx44djUqVKhm5cuUyPvzwQyN79uzGxx9/nF6hAxneczdib/z/kZmYmBhVrlxZnTp1kiT5+fmpbNmyypMnj44ePSpJql69utq3b6/Fixdr9erViomJkSRt27ZNJUuWVOnSpdNnJ4AnsCbPk3q6g6urq5o3b65y5cqpTZs2qlixol577TXduHHjP40fsMbT5nlQUJD8/f1VrFgx7d+/X5UrV9bLL7+s2NhYHveIDCcleZ7cxKc//vij6tSpY75KBchoUpLn9+/fV0REhNauXauXXnpJ+/fv1/vvv6/hw4fr3Xff1blz59JrN4AM7bl5jv2+fftUqFAhZcuWTZLUokULvfnmmxb/CWbJkkUREREqVqyYJMnFxUXdu3fX5cuX1blzZ5UvX17e3t765Zdf9PHHH8tkMnEPMjKUlOR5QEBAktuIiorSjRs3dOjQIfXt21chISFycnL6L8IHrPK0eZ5wvj569KgKFSqkd955R59++qm6du2qP/74wzzpGJARPOv5/MKFC4qJidGkSZO0du1aTZgwQa6urvzdggzlafLc1dVV7733nsaPH6+SJUua+w0ePFh2dnbKly/ff7oPgK2w+b9yfvjhBw0ePFjOzs6KiYlR586d1b9/f/n4+Ej6v0k4JGnjxo0qXLiwsmfPrujoaDk5OcnDw0OTJ09WpUqVdPjwYV29elX79u0z37/Df47ICJ41zxP8+eefevPNN5U7d26dPHlShQsXTpf9AZLyrHluMpkUHx+vNWvW6MKFC6pZs6YOHTpk8YchkN6eNs8fnuT35MmT+uKLL/Ttt98qICBAmzZtUtGiRSXxdwsyhqfN86ioKDk7O6tSpUqJtuns7Kx33333P90PwJbYdGG/Z88evf/++xo6dKhq166tbdu2acyYMbp+/brGjx+vHDlySHowEYeDg4O2bt2qsmXLSlKiEcrWrVurdevW//UuAE+UmnleuHBhrVixwvyYRyCjSK08v337tvr06aPy5curfv366bErQLKeJc8TinpJyps3r5o2bapWrVqpatWq6bErQLKeJc95qgPw9GzyZsOE+3T27NmjO3fuqGvXripTpoz69u2rMWPGaP/+/Zo9e7akBzMk29nZyTAMHTx4UI0aNZIknThxQu3atdPFixfTbT+Ax0mLPM+dOzdFPTKU1M5zT09PjRgxgqIeGUpq57mrq6tq1qxJUY8Mhb/PgfRlk4V9wmVmZ8+eVdGiRS3um+zSpYsqVKig3377TUeOHJH04OSxe/duubm5qXz58ho8eLDKlCmjsLAweXt7p8s+AE9CniMzSM08z5UrV7rsA/AknM+RGZDnQPqyicI+ODhYAwcO1Keffqpdu3aZ26tVq6aQkBDzc1vj4uLk7u6u5s2by2Qyad26dea+a9eu1eHDh1WsWDEFBwdr27ZtWrduHZf8IMMgz5EZpGWeu7i4/Of7AySF8zkyA/IcyFgydGF/+fJlNW3aVG+++aZu3Lih+fPnq379+uaTR/369VWgQAFNnjxZ0v99UxgYGCg7OzudOnXKvC1HR0flzJlTixYt0pEjR1ShQoX/foeAJJDnyAzIc2QG5DkyA/IcyKBS+uD7/8rdu3eNzp07G23btjXOnDljbq9UqZLRpUsXwzAMIzY21vj6668NOzs7Y9u2bRbrd+jQwahVq5b5dWho6H8TOJAC5DkyA/IcmQF5jsyAPAcyrgw7Yu/m5iZnZ2d16dJFBQsWVGxsrCSpSZMmOnbsmCTJ3t5ebdq0UfPmzdWjRw9t2bJFhmHoypUrOnnypN58803z9rj3EhkReY7MgDxHZkCeIzMgz4GMy2QY/38Kywzo4We2GoYhk8mkjh07ytXVVV9++aW5LTIyUo0aNdLRo0dVtmxZHT58WPny5dPKlSvl7++fznsBPB55jsyAPEdmQJ4jMyDPgYwpQxf2SalRo4a6deumLl26yDAMxcfHy97eXlevXtXBgwe1e/duFShQQO3bt0/vUIGnRp4jMyDPkRmQ58gMyHMg/dlUYX/mzBlVrVpVv/76q3lyjejoaDk5OaVzZEDqIc+RGZDnyAzIc2QG5DmQMWTYe+wflvDdw59//qksWbKYTxrjxo3ToEGDFBoamp7hAamCPEdmQJ4jMyDPkRmQ50DG4pDeAVgj4TEZu3bt0muvvabg4GD16tVL9+7d0zfffCNvb+90jhB4duQ5MgPyHJkBeY7MgDwHMhabuRQ/MjJSpUuX1unTp+Xk5KRx48Zp+PDh6R0WkKrIc2QG5DkyA/IcmQF5DmQcNlPYS1JgYKACAgL0ySefyMXFJb3DAdIEeY7MgDxHZkCeIzMgz4GMwaYK+7i4ONnb26d3GECaIs+RGZDnyAzIc2QG5DmQMdhUYQ8AAAAAACzZxKz4AAAAAAAgaRT2AAAAAADYMAp7AAAAAABsGIU9AAAAAAA2jMIeAAAAAAAbRmEPAAAAAIANo7AHAAAAAMCGUdgDAIAn6tKli0wmk0wmkxwdHeXj46PAwEAtWLBA8fHxVm9n0aJFypYtW9oFCgBAJkRhDwAArNKwYUNdvnxZ586d02+//abatWtr0KBBatKkiWJjY9M7PAAAMi0KewAAYBVnZ2f5+voqT548Kl++vEaOHKmffvpJv/32mxYtWiRJ+uSTT1S6dGm5u7vL399f/fr10507dyRJmzdvVteuXRUeHm4e/R87dqwkKTo6WsOGDVOePHnk7u6uypUra/PmzemzowAA2BgKewAA8NTq1KmjF198UatWrZIk2dnZ6bPPPtPhw4e1ePFibdy4UcOGDZMkVa1aVTNmzFDWrFl1+fJlXb58WUOHDpUkde3aVdu2bdOKFSt08OBBvf7662rYsKFOnjyZbvsGAICtMBmGYaR3EAAAIGPr0qWLbt26pR9//DHRsjfeeEMHDx7U0aNHEy377rvv1LdvX12/fl3Sg3vsBw8erFu3bpn7nD59WgEBAfrnn3/k5+dnbq9Xr55eeuklTZgwIdX3BwCA54lDegcAAABsm2EYMplMkqRNmzZpwoQJOnr0qCIiIhQbG6vIyEjdvXtX7u7uSa6/b98+GYahokWLWrRHRUXJy8srzeMHAMDWUdgDAIBncuzYMRUsWFDnz59X48aN1adPH3344YfKkSOH/vzzT3Xv3l0xMTHJrh8fHy97e3vt3btX9vb2FsuyZMmS1uEDAGDzKOwBAMBT27hxow4dOqS3335be/bsUWxsrKZNmyY7uwfT+KxcudKiv5OTk+Li4izaypUrp7i4OIWGhuqVV175z2IHAOB5QWEPAACsEhUVpStXriguLk5Xr15VUFCQJk6cqCZNmqhTp046dOiQYmNjNXPmTDVt2lTbtm3T3LlzLbZRoEAB3blzRxs2bNCLL74oNzc3FS1aVB06dFCnTp00bdo0lStXTtevX9fGjRtVunRpNW7cOJ32GAAA28Cs+AAAwCpBQUHKnTu3ChQooIYNG2rTpk367LPP9NNPP8ne3l5ly5bVJ598osmTJ6tUqVJaunSpJk6caLGNqlWrqk+fPmrbtq1y5cqlKVOmSJIWLlyoTp06aciQISpWrJiaNWumnTt3yt/fPz12FQAAm8Ks+AAAAAAA2DBG7AEAAAAAsGEU9gAAAAAA2DAKewAAAAAAbBiFPfD/2q8DEgAAAABB/1+3I9AXAgAAjIk9AAAAjIk9AAAAjIk9AAAAjIk9AAAAjIk9AAAAjIk9AAAAjIk9AAAAjIk9AAAAjAUKjInDdBgt1wAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "<Figure size 1200x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot for year range\n",
+    "\n",
+    "plt.figure(figsize=(12, 5))\n",
+    "\n",
+    "q_critical = 500\n",
+    "\n",
+    "observed_output.plot(label=\"Observed discharge\")\n",
+    "model_output_m3s.plot(label=\"Modelled discharge\")\n",
+    "plt.axhline(y=q_critical, linestyle=\":\", label=f'Critical discharge ({q_critical} m³/s)', color='black')\n",
+    "\n",
+    "plt.xlabel(\"Date\")\n",
+    "plt.ylabel(\"Discharge (m³/s)\")\n",
+    "plt.title(\"Modelled vs observed discharge at 07DA001\")\n",
+    "plt.legend()\n",
+    "plt.grid(True)\n",
+    "plt.xlim(\"2020-01-01\", \"2024-12-31\")\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 96,
+   "id": "494883ac-e9f0-4806-93d9-bb6a52372309",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1400x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot for 1 year\n",
+    "\n",
+    "selected_year = 2024\n",
+    "\n",
+    "observed_plot = observed_output\n",
+    "modelled_plot = model_output_m3s\n",
+    "\n",
+    "observed_plot.index = pd.to_datetime(observed_plot.index).tz_localize(None).normalize()\n",
+    "modelled_plot.index = pd.to_datetime(modelled_plot.index).tz_localize(None).normalize()\n",
+    "\n",
+    "plot_data = pd.DataFrame({\n",
+    "    \"Modelled discharge\": modelled_plot,\n",
+    "    \"Observed discharge\": observed_plot\n",
+    "}).dropna()\n",
+    "\n",
+    "plot_data_year = plot_data[plot_data.index.year == selected_year]\n",
+    "\n",
+    "plt.figure(figsize=(14, 6))\n",
+    "\n",
+    "plt.plot(plot_data_year.index,plot_data_year[\"Observed discharge\"],label=\"Observed discharge\")\n",
+    "plt.plot(plot_data_year.index,plot_data_year[\"Modelled discharge\"],label=\"Modelled discharge\")\n",
+    "\n",
+    "plt.axhline(y=q_critical,linestyle=\":\",color=\"black\",label=f\"Critical discharge ({q_critical} m³/s)\")\n",
+    "\n",
+    "plt.xlabel(\"Date\")\n",
+    "plt.ylabel(\"Discharge (m³/s)\")\n",
+    "plt.title(f\"Observed vs modelled discharge at 07DA001 in {selected_year}\")\n",
+    "plt.legend()\n",
+    "plt.grid(True)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1e2e1edf-f9a2-4d42-8de0-13e5dfc29fd5",
+   "metadata": {},
+   "source": [
+    "### "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b4a1bc95-7122-4372-8b79-991d1344452c",
+   "metadata": {},
+   "source": [
+    "### Log NSE"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 97,
+   "id": "0c3e7e10-16ba-46cf-96a6-9bb2d01f8287",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Calculate log NSE\n",
+    "\n",
+    "def log_NSE(sim, obs):\n",
+    "    \n",
+    "    sim = sim.to_numpy()\n",
+    "    obs = obs.to_numpy()\n",
+    "\n",
+    "    # Avoid log(0)\n",
+    "    eps = 0.00000000001\n",
+    "\n",
+    "    log_sim = np.log(sim + eps)\n",
+    "    log_obs = np.log(obs + eps)\n",
+    "\n",
+    "    return 1 - np.sum((log_obs - log_sim) ** 2) / np.sum((log_obs - np.mean(log_obs)) ** 2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 98,
+   "id": "6bcc0656-5f3a-450a-b758-e4c93e9feb07",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Call log NSE for relevant timeperiod\n",
+    "\n",
+    "def lognse_for_period(sim, obs, lognse_start, lognse_end):\n",
+    "\n",
+    "    simulated_daily = sim\n",
+    "    observed_daily = obs\n",
+    "\n",
+    "    simulated_daily.index = pd.to_datetime(simulated_daily.index).tz_localize(None).normalize()\n",
+    "    observed_daily.index = pd.to_datetime(observed_daily.index).tz_localize(None).normalize()\n",
+    "\n",
+    "    combined_data = pd.DataFrame({\n",
+    "        \"Modelled discharge\": simulated_daily,\n",
+    "        \"Observed discharge\": observed_daily\n",
+    "    }).dropna()\n",
+    "\n",
+    "    lognse_start = pd.to_datetime(lognse_start).tz_localize(None).normalize()\n",
+    "    lognse_end = pd.to_datetime(lognse_end).tz_localize(None).normalize()\n",
+    "\n",
+    "    # Set time period - Skip 1st year\n",
+    "    combined_data = combined_data[\n",
+    "        (combined_data.index >= lognse_start) &\n",
+    "        (combined_data.index <= lognse_end)\n",
+    "    ]\n",
+    "\n",
+    "    # Exclude winter months\n",
+    "    combined_data = combined_data[\n",
+    "        ~combined_data.index.month.isin([12, 1, 2, 3, 4])\n",
+    "    ]\n",
+    "\n",
+    "    if combined_data.empty:\n",
+    "        print(\"No data left after filtering.\")\n",
+    "        return np.nan\n",
+    "\n",
+    "    log_nse = log_NSE(\n",
+    "        combined_data[\"Modelled discharge\"],\n",
+    "        combined_data[\"Observed discharge\"]\n",
+    "    )\n",
+    "\n",
+    "    return log_nse"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 99,
+   "id": "aa07b0d5-9144-48bf-9ca6-a43812e30020",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">log NSE: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.6899179967067883</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "log NSE: \u001b[1;36m0.6899179967067883\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Return log NSE\n",
+    "evaluation_start = pd.to_datetime(f\"{start_date.year + 1}-01-01\")\n",
+    "\n",
+    "lognse_value = lognse_for_period(\n",
+    "    model_output_m3s,\n",
+    "    observed_output,\n",
+    "    evaluation_start,\n",
+    "    end_date\n",
+    ")\n",
+    "\n",
+    "print(\"log NSE:\", lognse_value)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "56592f44-6174-48c3-a724-2ed1036228ff",
+   "metadata": {},
+   "source": [
+    "### Days calc"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 100,
+   "id": "2d2cda32-61ff-4710-998b-4c4a5205cefc",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def days_counter(sim, obs, start_date, end_date):\n",
+    "\n",
+    "    # Combine dataset in Dataframe\n",
+    "    combined_data = pd.DataFrame({\n",
+    "        \"Modelled discharge\": sim,\n",
+    "        \"Observed discharge\": obs\n",
+    "    }).dropna()\n",
+    "\n",
+    "    # Make list of years\n",
+    "    years = list(range(start_date.year, end_date.year + 1))\n",
+    "\n",
+    "    lowflow_days = []\n",
+    "\n",
+    "    # Loop through each year\n",
+    "    for i in range(len(years)):\n",
+    "\n",
+    "        year = years[i]\n",
+    "\n",
+    "        # Define start month-day\n",
+    "        year_start = pd.to_datetime(f\"{year}-05-18\")\n",
+    "        year_end = pd.to_datetime(f\"{year}-10-17\")\n",
+    "\n",
+    "        year_data = combined_data[\n",
+    "            (combined_data.index >= year_start) &\n",
+    "            (combined_data.index <= year_end)\n",
+    "        ]\n",
+    "\n",
+    "        observed_lowflow_days = 0\n",
+    "        modelled_lowflow_days = 0\n",
+    "\n",
+    "        # Loop through each  year to identify lowflow days\n",
+    "        for j in range(len(year_data)):\n",
+    "\n",
+    "            observed_q = year_data.iloc[j][\"Observed discharge\"]\n",
+    "            modelled_q = year_data.iloc[j][\"Modelled discharge\"]\n",
+    "\n",
+    "            # Check if that day is low flow and accumulate\n",
+    "            if observed_q < q_critical:\n",
+    "                observed_lowflow_days += 1\n",
+    "\n",
+    "            if modelled_q < q_critical:\n",
+    "                modelled_lowflow_days += 1\n",
+    "\n",
+    "    lowflow_days = pd.DataFrame(lowflow_days)\n",
+    "\n",
+    "    # average_error = round(lowflow_days[\"%error\"].abs().mean(), 1)\n",
+    "\n",
+    "    return lowflow_days\n",
+    "    \n",
+    "    # , print(f\"average error = {average_error}%\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 101,
+   "id": "c04c46cc-b80a-40ec-b741-e78fa5168dcd",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "Empty DataFrame\n",
+       "Columns: []\n",
+       "Index: []"
+      ]
+     },
+     "execution_count": 101,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Define period (based on algorithm date > q_critical & freeze-up date output) & prepare\n",
+    "day_calc_start = pd.to_datetime(f\"{start_date.year + 1}-01-01\")\n",
+    "q_critical = 500\n",
+    "\n",
+    "lowflow_days = days_counter(\n",
+    "    sim=model_output_m3s,\n",
+    "    obs=observed_output,\n",
+    "    start_date=day_calc_start,\n",
+    "    end_date=end_date\n",
+    ")\n",
+    "\n",
+    "lowflow_days\n",
+    "\n",
+    "# NOTE TO CHANGE TIME RANGE -> EDIT DEF days_counter FUNCTION UNDER # Define start month day"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3d9701be-4df6-41b8-904e-cb4cda096e80",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/Workyard/Step1_CMIP6_Forcings_Generation.ipynb b/Workyard/Step1_CMIP6_Forcings_Generation.ipynb
new file mode 100644
index 00000000..13e8b7b1
--- /dev/null
+++ b/Workyard/Step1_CMIP6_Forcings_Generation.ipynb
@@ -0,0 +1,703 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "e91181a8-c60f-456f-80cc-3923bf7c6a43",
+   "metadata": {},
+   "source": [
+    "# CMIP6 Data generation & merging \n",
+    "\n",
+    "CMIP6 data will be generated from 1995-2014, loaded and merged into one file\n",
+    "\n",
+    "**Note: Depending on if you want to run historical, or an ssp, changes you need to make are:**\n",
+    "1. Cell 5: Select scenario\n",
+    "2. Cell 6: Define period"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "680410be-715a-4678-a4e3-c1141939241e",
+   "metadata": {},
+   "source": [
+    "## Start-up"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "7ef3318e-968e-418e-bf4c-a8936aade9a5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# general python\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\", category=UserWarning)\n",
+    "\n",
+    "import numpy as np\n",
+    "from pathlib import Path\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import xarray as xr\n",
+    "\n",
+    "#niceties\n",
+    "from rich import print\n",
+    "\n",
+    "import yaml"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "f7ff029b-ee4b-4fe2-b5d5-bf768b626989",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General eWaterCycle\n",
+    "import ewatercycle\n",
+    "import ewatercycle.models\n",
+    "import ewatercycle.forcing"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "df3c38b4-7757-475c-a670-e7a06cc53955",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Choose what you want to run:\n",
+    "Scenario = \"ssp126\"    # Options: historical, ssp119, ssp126, ssp245, ssp,370, ssp585"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "74c8c15e-8cab-4e1a-b6eb-c9c165d8c051",
+   "metadata": {},
+   "source": [
+    "### Define range & forcing paths"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "b2343410-2713-4089-ae42-dad37b457c41",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/ssp126/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6-2025-2030</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/ssp126/\u001b[0m\u001b[95mCMIP6-2025-2030\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2025</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1;36m2025\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2050</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1;36m2050\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Defining period range\n",
+    "\n",
+    "# For CMIP trial:\n",
+    "# periods = [\n",
+    "#     [1995, 2000, 2005, 2010],\n",
+    "#     [1999, 2004, 2009, 2014]\n",
+    "# ]\n",
+    "\n",
+    "# periods = [\n",
+    "#     [1970, 1975, 1980, 1985, 1990, 1995],\n",
+    "#     [1974, 1979, 1984, 1989, 1994, 1999]\n",
+    "# ]\n",
+    "\n",
+    "# Future projections 2026-2050:\n",
+    "periods = [\n",
+    "    [2025, 2031, 2041],\n",
+    "    [2030, 2040, 2050]\n",
+    "]\n",
+    "\n",
+    "# Future projections 2051-2075:\n",
+    "# periods = [\n",
+    "#     [2050, 2061, 2071],\n",
+    "#     [2060, 2070, 2075]\n",
+    "# ]\n",
+    "\n",
+    "# Future projections 2076-2100:\n",
+    "# periods = [\n",
+    "#     [2075, 2081, 2091],\n",
+    "#     [2080, 2090, 2100]\n",
+    "# ]\n",
+    "\n",
+    "\n",
+    "folder_names = []\n",
+    "forcing_paths = {}\n",
+    "\n",
+    "# Generate file names & paths\n",
+    "for i in range(len(periods[0])):\n",
+    "    start_year = periods[0][i]\n",
+    "    end_year = periods[1][i]\n",
+    "    \n",
+    "    folder_name = f'CMIP6-{start_year}-{end_year}'                        \n",
+    "    forcing_path = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / Scenario / folder_name\n",
+    "    # forcing_path = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / \"SSP\" / folder_name\n",
+    "    # forcing_path = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / \"SSP\" / folder_name\n",
+    "    # forcing_path = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / \"SSP\" / folder_name\n",
+    "    # forcing_path = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"forcings\" / folder_name\n",
+    "\n",
+    "    folder_names.append(folder_name)\n",
+    "    forcing_paths[folder_name] = forcing_path\n",
+    "\n",
+    "    forcing_path.mkdir(exist_ok=True, parents=True)\n",
+    "\n",
+    "# Call path test\n",
+    "print(forcing_paths[folder_names[0]])\n",
+    "\n",
+    "start_year = periods[0][0]\n",
+    "end_year = periods[1][-1]\n",
+    "\n",
+    "print(start_year)\n",
+    "\n",
+    "print(end_year)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "619dd21a-0646-4bae-a71b-935f1fca8c04",
+   "metadata": {},
+   "source": [
+    "### Generate CMIP6 data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "cbc7b2b6-88ee-4e7f-b37c-39eaf878c075",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Finished CMIP6-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2025</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2030</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Finished CMIP6-\u001b[1;36m2025\u001b[0m-\u001b[1;36m2030\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Finished CMIP6-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2031</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2040</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Finished CMIP6-\u001b[1;36m2031\u001b[0m-\u001b[1;36m2040\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Finished CMIP6-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2041</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2050</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Finished CMIP6-\u001b[1;36m2041\u001b[0m-\u001b[1;36m2050\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Shapefile path\n",
+    "shape_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "# shape_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\"\n",
+    "\n",
+    "# Choose CMIP6 dataset\n",
+    "CMIP_dataset = {'dataset': 'MPI-ESM1-2-HR', 'project': 'CMIP6', 'grid' : 'gn', 'exp': Scenario, 'ensemble': 'r1i1p1f1'}\n",
+    "\n",
+    "\n",
+    "# Generate forcing data\n",
+    "# for i in range(1):\n",
+    "for i in range(len(folder_names)):\n",
+    "    # Change start year to start time so ERA5 can interpret it\n",
+    "    start_time_CMIP = f'{periods[0][i]}-01-01T00:00:00Z'\n",
+    "    end_time_CMIP = f'{periods[1][i]}-12-31T00:00:00Z'\n",
+    "\n",
+    "    # Skip if folder is not empty to prevent errors\n",
+    "    if any(forcing_paths[folder_names[i]].iterdir()):\n",
+    "        print(f\"Skipping {folder_names[i]} because the folder is not empty.\")\n",
+    "        continue\n",
+    "\n",
+    "    # Load forcings\n",
+    "    CMIP_forcing = ewatercycle.forcing.sources['LumpedMakkinkForcing'].generate(\n",
+    "        dataset=CMIP_dataset,\n",
+    "        start_time=start_time_CMIP,\n",
+    "        end_time=end_time_CMIP,\n",
+    "        shape=shape_file,\n",
+    "        directory=forcing_paths[folder_names[i]]\n",
+    "    )\n",
+    "\n",
+    "    # I need info because my patience is limited\n",
+    "    print(f\"Finished {folder_names[i]}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "91242ae4-3d21-4d18-815f-5cc986d5961e",
+   "metadata": {},
+   "source": [
+    "### Load CMIP6 data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "f8e8ac64-fee5-4602-a1f1-90b8fb14c2b2",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">[</span><span style=\"color: #008000; text-decoration-color: #008000\">'CMIP6-2025-2030'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'CMIP6-2031-2040'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'CMIP6-2041-2050'</span><span style=\"font-weight: bold\">]</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1m[\u001b[0m\u001b[32m'CMIP6-2025-2030'\u001b[0m, \u001b[32m'CMIP6-2031-2040'\u001b[0m, \u001b[32m'CMIP6-2041-2050'\u001b[0m\u001b[1m]\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "LumpedMakkinkForcing(start_time='2025-01-01T00:00:00Z', end_time='2030-12-31T00:00:00Z', directory=PosixPath('/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/ssp126/CMIP6-2025-2030/work/diagnostic/script'), shape=PosixPath('/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/ssp126/CMIP6-2025-2030/work/diagnostic/script/07DA001_basin.shp'), filenames={'pr': 'CMIP6_MPI-ESM1-2-HR_day_ssp126_r1i1p1f1_pr_gn_2025-2030.nc', 'tas': 'CMIP6_MPI-ESM1-2-HR_day_ssp126_r1i1p1f1_tas_gn_2025-2030.nc', 'rsds': 'CMIP6_MPI-ESM1-2-HR_day_ssp126_r1i1p1f1_rsds_gn_2025-2030.nc', 'evspsblpot': 'Derived_Makkink_evspsblpot.nc'})"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "CMIP_forcings = {}\n",
+    "\n",
+    "for i in range(len(folder_names)):\n",
+    "    # Create new path to find relevant files in the folder\n",
+    "    directory_new = forcing_paths[folder_names[i]] / \"work\" / \"diagnostic\" / \"script\"\n",
+    "    \n",
+    "    # Load forcings\n",
+    "    CMIP_forcings[folder_names[i]] = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=directory_new)\n",
+    "\n",
+    "# Test to see if it works\n",
+    "print(folder_names)\n",
+    "CMIP_forcings[folder_names[0]]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c8eddb25-06e3-4702-87e8-258aeda27a15",
+   "metadata": {},
+   "source": [
+    "### Merge CMIP6 data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "1cb12aa2-4b4c-4108-a5c9-2d8156cdecfe",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Function to seperate files based on file names and combine same file names from different folders\n",
+    "def combine_variable(var_name):\n",
+    "    datasets = []\n",
+    "\n",
+    "    for i in range(len(folder_names)):\n",
+    "\n",
+    "        if var_name == \"evspsblpot\":\n",
+    "            file_name = \"Derived_Makkink_evspsblpot.nc\"\n",
+    "        else:\n",
+    "            file_name = f\"CMIP6_MPI-ESM1-2-HR_day_{Scenario}_r1i1p1f1_{var_name}_gn_{periods[0][i]}-{periods[1][i]}.nc\"\n",
+    "\n",
+    "        directory = forcing_paths[folder_names[i]] / \"work\" / \"diagnostic\" / \"script\" / file_name\n",
+    "\n",
+    "        print(f\"Loading {directory}\")\n",
+    "\n",
+    "        datasets.append(xr.open_dataset(directory))\n",
+    "\n",
+    "    combined = xr.concat(datasets, dim=\"time\")\n",
+    "    return combined"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "b21fe2e4-478a-4e0b-9f1f-a40316e22018",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/ssp126/CMIP6-2025-2030/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_d</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">ay_ssp126_r1i1p1f1_pr_gn_2025-2030.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/ssp126/CMIP6-2025-2030/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_d\u001b[0m\n",
+       "\u001b[95may_ssp126_r1i1p1f1_pr_gn_2025-2030.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/ssp126/CMIP6-2031-2040/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_d</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">ay_ssp126_r1i1p1f1_pr_gn_2031-2040.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/ssp126/CMIP6-2031-2040/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_d\u001b[0m\n",
+       "\u001b[95may_ssp126_r1i1p1f1_pr_gn_2031-2040.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/ssp126/CMIP6-2041-2050/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_d</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">ay_ssp126_r1i1p1f1_pr_gn_2041-2050.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/ssp126/CMIP6-2041-2050/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_d\u001b[0m\n",
+       "\u001b[95may_ssp126_r1i1p1f1_pr_gn_2041-2050.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/ssp126/CMIP6-2025-2030/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_d</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">ay_ssp126_r1i1p1f1_tas_gn_2025-2030.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/ssp126/CMIP6-2025-2030/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_d\u001b[0m\n",
+       "\u001b[95may_ssp126_r1i1p1f1_tas_gn_2025-2030.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/ssp126/CMIP6-2031-2040/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_d</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">ay_ssp126_r1i1p1f1_tas_gn_2031-2040.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/ssp126/CMIP6-2031-2040/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_d\u001b[0m\n",
+       "\u001b[95may_ssp126_r1i1p1f1_tas_gn_2031-2040.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/ssp126/CMIP6-2041-2050/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_d</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">ay_ssp126_r1i1p1f1_tas_gn_2041-2050.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/ssp126/CMIP6-2041-2050/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_d\u001b[0m\n",
+       "\u001b[95may_ssp126_r1i1p1f1_tas_gn_2041-2050.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/ssp126/CMIP6-2025-2030/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_d</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">ay_ssp126_r1i1p1f1_rsds_gn_2025-2030.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/ssp126/CMIP6-2025-2030/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_d\u001b[0m\n",
+       "\u001b[95may_ssp126_r1i1p1f1_rsds_gn_2025-2030.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/ssp126/CMIP6-2031-2040/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_d</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">ay_ssp126_r1i1p1f1_rsds_gn_2031-2040.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/ssp126/CMIP6-2031-2040/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_d\u001b[0m\n",
+       "\u001b[95may_ssp126_r1i1p1f1_rsds_gn_2031-2040.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/ssp126/CMIP6-2041-2050/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_d</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">ay_ssp126_r1i1p1f1_rsds_gn_2041-2050.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/ssp126/CMIP6-2041-2050/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_d\u001b[0m\n",
+       "\u001b[95may_ssp126_r1i1p1f1_rsds_gn_2041-2050.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/ssp126/CMIP6-2025-2030/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_evsps</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">blpot.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/ssp126/CMIP6-2025-2030/work/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_evsps\u001b[0m\n",
+       "\u001b[95mblpot.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/ssp126/CMIP6-2031-2040/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_evsps</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">blpot.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/ssp126/CMIP6-2031-2040/work/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_evsps\u001b[0m\n",
+       "\u001b[95mblpot.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/ssp126/CMIP6-2041-2050/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_evsps</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">blpot.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/ssp126/CMIP6-2041-2050/work/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_evsps\u001b[0m\n",
+       "\u001b[95mblpot.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Running function for various file name types\n",
+    "combined_variables = {}\n",
+    "var_names = [\"pr\", \"tas\", \"rsds\", \"evspsblpot\"]\n",
+    "\n",
+    "combined_path = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / Scenario / f'CMIP6-{start_year}-{end_year}'\n",
+    "# combined_path = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"forcings\" / f'ERA5-{periods[0][0]}-{periods[1][-1]}'\n",
+    "combined_path.mkdir(parents=True, exist_ok=True)\n",
+    "\n",
+    "for i in range(len(var_names)):\n",
+    "    combined_variables[var_names[i]] = combine_variable(var_names[i])\n",
+    "    combined_variables[var_names[i]].to_netcdf(combined_path / f'combined_CMIP6_{start_year}_{end_year}_{var_names[i]}.nc')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a439e818-0aa8-4e92-a189-fde70016a911",
+   "metadata": {},
+   "source": [
+    "### Create YAML file"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "e60b3316-e100-4af9-a36d-fad721ef6e02",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create yaml\n",
+    "forcing_yaml = {\n",
+    "    \"start_time\": f\"{start_year}-01-01T00:00:00Z\",\n",
+    "    \"end_time\": f\"{end_year}-12-31T00:00:00Z\",\n",
+    "    \"shape\": str(shape_file),\n",
+    "    \"filenames\": {\n",
+    "        \"pr\": f\"combined_CMIP6_{start_year}_{end_year}_pr.nc\",\n",
+    "        \"tas\": f\"combined_CMIP6_{start_year}_{end_year}_tas.nc\",\n",
+    "        \"rsds\": f\"combined_CMIP6_{start_year}_{end_year}_rsds.nc\",\n",
+    "        \"evspsblpot\": f\"combined_CMIP6_{start_year}_{end_year}_evspsblpot.nc\"\n",
+    "    }}\n",
+    "\n",
+    "# Save the YAML file\n",
+    "yaml_file_path = combined_path / \"ewatercycle_forcing.yaml\"\n",
+    "\n",
+    "with open(yaml_file_path, \"w\") as yaml_file:\n",
+    "    yaml.dump(forcing_yaml, yaml_file, default_flow_style=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "10ff50bf-b6e7-4033-9682-3e25d01ecd26",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">LumpedMakkinkForcing</span><span style=\"font-weight: bold\">(</span>\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">start_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'2025-01-01T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">end_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'2050-12-31T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">directory</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/ssp126/CMIP6-2025-2050'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">shape</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">filenames</span>=<span style=\"font-weight: bold\">{</span>\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'evspsblpot'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_2025_2050_evspsblpot.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'pr'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_2025_2050_pr.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'rsds'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_2025_2050_rsds.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'tas'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_2025_2050_tas.nc'</span>\n",
+       "    <span style=\"font-weight: bold\">}</span>\n",
+       "<span style=\"font-weight: bold\">)</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1;35mLumpedMakkinkForcing\u001b[0m\u001b[1m(\u001b[0m\n",
+       "    \u001b[33mstart_time\u001b[0m=\u001b[32m'2025-01-01T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mend_time\u001b[0m=\u001b[32m'2050-12-31T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mdirectory\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/ssp126/CMIP6-2025-2050'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mshape\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mfilenames\u001b[0m=\u001b[1m{\u001b[0m\n",
+       "        \u001b[32m'evspsblpot'\u001b[0m: \u001b[32m'combined_CMIP6_2025_2050_evspsblpot.nc'\u001b[0m,\n",
+       "        \u001b[32m'pr'\u001b[0m: \u001b[32m'combined_CMIP6_2025_2050_pr.nc'\u001b[0m,\n",
+       "        \u001b[32m'rsds'\u001b[0m: \u001b[32m'combined_CMIP6_2025_2050_rsds.nc'\u001b[0m,\n",
+       "        \u001b[32m'tas'\u001b[0m: \u001b[32m'combined_CMIP6_2025_2050_tas.nc'\u001b[0m\n",
+       "    \u001b[1m}\u001b[0m\n",
+       "\u001b[1m)\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "CMIP6_combined_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=combined_path)\n",
+    "print(CMIP6_combined_forcing)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "83a89024-510b-442f-adeb-8f9e0d07a77f",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/Workyard/Step1_ERA5_Forcings_Generation.ipynb b/Workyard/Step1_ERA5_Forcings_Generation.ipynb
new file mode 100644
index 00000000..a8a282f8
--- /dev/null
+++ b/Workyard/Step1_ERA5_Forcings_Generation.ipynb
@@ -0,0 +1,911 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "e91181a8-c60f-456f-80cc-3923bf7c6a43",
+   "metadata": {},
+   "source": [
+    "# ERA5 Data generation & merging \n",
+    "\n",
+    "ERA5 data will be generated from 1970-2025, loaded and merged into one file"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "680410be-715a-4678-a4e3-c1141939241e",
+   "metadata": {},
+   "source": [
+    "## Start-up"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "7ef3318e-968e-418e-bf4c-a8936aade9a5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# general python\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\", category=UserWarning)\n",
+    "\n",
+    "import numpy as np\n",
+    "from pathlib import Path\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import xarray as xr\n",
+    "\n",
+    "#niceties\n",
+    "from rich import print\n",
+    "\n",
+    "import yaml"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "f7ff029b-ee4b-4fe2-b5d5-bf768b626989",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General eWaterCycle\n",
+    "import ewatercycle\n",
+    "import ewatercycle.models\n",
+    "import ewatercycle.forcing"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "74c8c15e-8cab-4e1a-b6eb-c9c165d8c051",
+   "metadata": {},
+   "source": [
+    "### Define range & forcing paths"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "b2343410-2713-4089-ae42-dad37b457c41",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">ERA5-1970-1974</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/\u001b[0m\u001b[95mERA5-1970-1974\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1975</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1;36m1975\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1999</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1;36m1999\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Defining period range\n",
+    "# periods = [\n",
+    "#     [1970, 1975, 1980, 1985, 1990, 1995, 2000, 2005, 2010, 2015, 2020],\n",
+    "#     [1974, 1979, 1984, 1989, 1994, 1999, 2004, 2009, 2014, 2019, 2024]\n",
+    "# ]\n",
+    "\n",
+    "# For calibration 1:\n",
+    "# periods = [\n",
+    "#     [1990, 1995, 2000, 2005, 2010],\n",
+    "#     [1994, 1999, 2004, 2009, 2017]\n",
+    "# ]\n",
+    "\n",
+    "# For calibration 2:\n",
+    "# periods = [\n",
+    "#     [1999, 2005, 2010, 2018],\n",
+    "#     [2004, 2009, 2017, 2019]\n",
+    "# ]\n",
+    "\n",
+    "# For validation 1:\n",
+    "# periods = [\n",
+    "#     [2018, 2022],\n",
+    "#     [2021, 2024]\n",
+    "# ]\n",
+    "\n",
+    "# For validation 2:\n",
+    "# periods = [\n",
+    "#     [2019, 2022],\n",
+    "#     [2021, 2024]\n",
+    "# ]\n",
+    "\n",
+    "# For CMIP trial:\n",
+    "# periods = [\n",
+    "#     [1995, 2000, 2005, 2010],\n",
+    "#     [1999, 2004, 2009, 2014]\n",
+    "# ]\n",
+    "\n",
+    "# For CMIP trial 2\n",
+    "periods = [\n",
+    "    [1970, 1975, 1980, 1985, 1990, 1995],\n",
+    "    [1974, 1979, 1984, 1989, 1994, 1999]\n",
+    "]\n",
+    "\n",
+    "folder_names = []\n",
+    "forcing_paths = {}\n",
+    "\n",
+    "# Generate file names & paths\n",
+    "for i in range(len(periods[0])):\n",
+    "    start_year = periods[0][i]\n",
+    "    end_year = periods[1][i]\n",
+    "    \n",
+    "    folder_name = f'ERA5-{start_year}-{end_year}'                         # Add -cal or -val for cal and val folder name\n",
+    "    forcing_path = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / folder_name\n",
+    "    # forcing_path = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"forcings\" / folder_name\n",
+    "\n",
+    "    folder_names.append(folder_name)\n",
+    "    forcing_paths[folder_name] = forcing_path\n",
+    "\n",
+    "    forcing_path.mkdir(exist_ok=True, parents=True)\n",
+    "\n",
+    "# Call path test\n",
+    "print(forcing_paths[folder_names[0]])\n",
+    "\n",
+    "print(periods[0][1])\n",
+    "\n",
+    "print(periods[1][-1])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "619dd21a-0646-4bae-a71b-935f1fca8c04",
+   "metadata": {},
+   "source": [
+    "### Generate ERA5 data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "cbc7b2b6-88ee-4e7f-b37c-39eaf878c075",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Skipping ERA5-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1970</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1974</span> because the folder is not empty.\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Skipping ERA5-\u001b[1;36m1970\u001b[0m-\u001b[1;36m1974\u001b[0m because the folder is not empty.\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Skipping ERA5-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1975</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1979</span> because the folder is not empty.\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Skipping ERA5-\u001b[1;36m1975\u001b[0m-\u001b[1;36m1979\u001b[0m because the folder is not empty.\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Skipping ERA5-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1980</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1984</span> because the folder is not empty.\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Skipping ERA5-\u001b[1;36m1980\u001b[0m-\u001b[1;36m1984\u001b[0m because the folder is not empty.\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Skipping ERA5-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1985</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1989</span> because the folder is not empty.\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Skipping ERA5-\u001b[1;36m1985\u001b[0m-\u001b[1;36m1989\u001b[0m because the folder is not empty.\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Skipping ERA5-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1990</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1994</span> because the folder is not empty.\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Skipping ERA5-\u001b[1;36m1990\u001b[0m-\u001b[1;36m1994\u001b[0m because the folder is not empty.\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Skipping ERA5-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1995</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1999</span> because the folder is not empty.\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Skipping ERA5-\u001b[1;36m1995\u001b[0m-\u001b[1;36m1999\u001b[0m because the folder is not empty.\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Shapefile path\n",
+    "shape_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "# shape_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\"\n",
+    "\n",
+    "# Generate forcing data\n",
+    "# for i in range(1):\n",
+    "for i in range(len(folder_names)):\n",
+    "    # Change start year to start time so ERA5 can interpret it\n",
+    "    start_time_ERA5 = f'{periods[0][i]}-01-01T00:00:00Z'\n",
+    "    end_time_ERA5 = f'{periods[1][i]}-12-31T00:00:00Z'\n",
+    "\n",
+    "    # Skip if folder is not empty to prevent errors\n",
+    "    if any(forcing_paths[folder_names[i]].iterdir()):\n",
+    "        print(f\"Skipping {folder_names[i]} because the folder is not empty.\")\n",
+    "        continue\n",
+    "\n",
+    "    # Load forcings\n",
+    "    ERA5_forcing = ewatercycle.forcing.sources['LumpedMakkinkForcing'].generate(\n",
+    "        dataset=\"ERA5\",\n",
+    "        start_time=start_time_ERA5,\n",
+    "        end_time=end_time_ERA5,\n",
+    "        shape=shape_file,\n",
+    "        directory=forcing_paths[folder_names[i]]\n",
+    "    )\n",
+    "\n",
+    "    # I need info because my patience is limited\n",
+    "    print(f\"Finished {folder_names[i]}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "91242ae4-3d21-4d18-815f-5cc986d5961e",
+   "metadata": {},
+   "source": [
+    "### Load ERA5 data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "f8e8ac64-fee5-4602-a1f1-90b8fb14c2b2",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">[</span><span style=\"color: #008000; text-decoration-color: #008000\">'ERA5-1970-1974'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'ERA5-1975-1979'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'ERA5-1980-1984'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'ERA5-1985-1989'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'ERA5-1990-1994'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'ERA5-1995-1999'</span><span style=\"font-weight: bold\">]</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1m[\u001b[0m\u001b[32m'ERA5-1970-1974'\u001b[0m, \u001b[32m'ERA5-1975-1979'\u001b[0m, \u001b[32m'ERA5-1980-1984'\u001b[0m, \u001b[32m'ERA5-1985-1989'\u001b[0m, \u001b[32m'ERA5-1990-1994'\u001b[0m, \u001b[32m'ERA5-1995-1999'\u001b[0m\u001b[1m]\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "LumpedMakkinkForcing(start_time='1970-01-01T00:00:00Z', end_time='1974-12-31T00:00:00Z', directory=PosixPath('/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1970-1974/work/diagnostic/script'), shape=PosixPath('/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1970-1974/work/diagnostic/script/07DA001_basin.shp'), filenames={'pr': 'OBS6_ERA5_reanaly_1_day_pr_1970-1974.nc', 'tas': 'OBS6_ERA5_reanaly_1_day_tas_1970-1974.nc', 'rsds': 'OBS6_ERA5_reanaly_1_day_rsds_1970-1974.nc', 'evspsblpot': 'Derived_Makkink_evspsblpot.nc'})"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ERA5_forcings = {}\n",
+    "\n",
+    "for i in range(len(folder_names)):\n",
+    "    # Create new path to find relevant files in the folder\n",
+    "    directory_new = forcing_paths[folder_names[i]] / \"work\" / \"diagnostic\" / \"script\"\n",
+    "    \n",
+    "    # Load forcings\n",
+    "    ERA5_forcings[folder_names[i]] = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=directory_new)\n",
+    "\n",
+    "# Test to see if it works\n",
+    "print(folder_names)\n",
+    "ERA5_forcings[folder_names[0]]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c8eddb25-06e3-4702-87e8-258aeda27a15",
+   "metadata": {},
+   "source": [
+    "### Merge ERA5 data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "1cb12aa2-4b4c-4108-a5c9-2d8156cdecfe",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Function to seperate files based on file names and combine same file names from different folders\n",
+    "def combine_variable(var_name):\n",
+    "    datasets = []\n",
+    "\n",
+    "    for i in range(len(folder_names)):\n",
+    "\n",
+    "        if var_name == \"evspsblpot\":\n",
+    "            file_name = \"Derived_Makkink_evspsblpot.nc\"\n",
+    "        else:\n",
+    "            file_name = f\"OBS6_ERA5_reanaly_1_day_{var_name}_{periods[0][i]}-{periods[1][i]}.nc\"\n",
+    "\n",
+    "        directory = forcing_paths[folder_names[i]] / \"work\" / \"diagnostic\" / \"script\" / file_name\n",
+    "\n",
+    "        print(f\"Loading {directory}\")\n",
+    "\n",
+    "        datasets.append(xr.open_dataset(directory))\n",
+    "\n",
+    "    combined = xr.concat(datasets, dim=\"time\")\n",
+    "    return combined"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "b21fe2e4-478a-4e0b-9f1f-a40316e22018",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1970-1974/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_pr_1970-197</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">4.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1970-1974/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_pr_1970-197\u001b[0m\n",
+       "\u001b[95m4.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1975-1979/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_pr_1975-197</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">9.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1975-1979/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_pr_1975-197\u001b[0m\n",
+       "\u001b[95m9.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1980-1984/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_pr_1980-198</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">4.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1980-1984/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_pr_1980-198\u001b[0m\n",
+       "\u001b[95m4.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1985-1989/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_pr_1985-198</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">9.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1985-1989/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_pr_1985-198\u001b[0m\n",
+       "\u001b[95m9.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1990-1994/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_pr_1990-199</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">4.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1990-1994/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_pr_1990-199\u001b[0m\n",
+       "\u001b[95m4.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1995-1999/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_pr_1995-199</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">9.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1995-1999/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_pr_1995-199\u001b[0m\n",
+       "\u001b[95m9.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1970-1974/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_tas_1970-19</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">74.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1970-1974/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_tas_1970-19\u001b[0m\n",
+       "\u001b[95m74.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1975-1979/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_tas_1975-19</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">79.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1975-1979/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_tas_1975-19\u001b[0m\n",
+       "\u001b[95m79.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1980-1984/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_tas_1980-19</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">84.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1980-1984/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_tas_1980-19\u001b[0m\n",
+       "\u001b[95m84.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1985-1989/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_tas_1985-19</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">89.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1985-1989/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_tas_1985-19\u001b[0m\n",
+       "\u001b[95m89.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1990-1994/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_tas_1990-19</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">94.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1990-1994/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_tas_1990-19\u001b[0m\n",
+       "\u001b[95m94.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1995-1999/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_tas_1995-19</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">99.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1995-1999/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_tas_1995-19\u001b[0m\n",
+       "\u001b[95m99.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1970-1974/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_rsds_1970-1</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">974.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1970-1974/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_rsds_1970-1\u001b[0m\n",
+       "\u001b[95m974.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1975-1979/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_rsds_1975-1</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">979.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1975-1979/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_rsds_1975-1\u001b[0m\n",
+       "\u001b[95m979.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1980-1984/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_rsds_1980-1</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">984.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1980-1984/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_rsds_1980-1\u001b[0m\n",
+       "\u001b[95m984.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1985-1989/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_rsds_1985-1</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">989.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1985-1989/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_rsds_1985-1\u001b[0m\n",
+       "\u001b[95m989.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1990-1994/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_rsds_1990-1</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">994.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1990-1994/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_rsds_1990-1\u001b[0m\n",
+       "\u001b[95m994.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1995-1999/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_rsds_1995-1</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">999.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1995-1999/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_rsds_1995-1\u001b[0m\n",
+       "\u001b[95m999.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1970-1974/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_evspsblpot.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1970-1974/work/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_evspsblpot.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1975-1979/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_evspsblpot.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1975-1979/work/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_evspsblpot.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1980-1984/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_evspsblpot.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1980-1984/work/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_evspsblpot.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1985-1989/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_evspsblpot.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1985-1989/work/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_evspsblpot.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1990-1994/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_evspsblpot.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1990-1994/work/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_evspsblpot.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1995-1999/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_evspsblpot.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1995-1999/work/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_evspsblpot.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Running function for various file name types\n",
+    "combined_variables = {}\n",
+    "var_names = [\"pr\", \"tas\", \"rsds\", \"evspsblpot\"]\n",
+    "\n",
+    "combined_path = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / f'ERA5-{periods[0][0]}-{periods[1][-1]}'\n",
+    "# combined_path = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"forcings\" / f'ERA5-{periods[0][0]}-{periods[1][-1]}'\n",
+    "combined_path.mkdir(parents=True, exist_ok=True)\n",
+    "\n",
+    "for i in range(len(var_names)):\n",
+    "    combined_variables[var_names[i]] = combine_variable(var_names[i])\n",
+    "    combined_variables[var_names[i]].to_netcdf(combined_path / f'combined_ERA5_{periods[0][0]}_{periods[1][-1]}_{var_names[i]}.nc')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a439e818-0aa8-4e92-a189-fde70016a911",
+   "metadata": {},
+   "source": [
+    "### Create YAML file"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "e60b3316-e100-4af9-a36d-fad721ef6e02",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create yaml\n",
+    "forcing_yaml = {\n",
+    "    \"start_time\": f\"{periods[0][0]}-01-01T00:00:00Z\",\n",
+    "    \"end_time\": f\"{periods[1][-1]}-12-31T00:00:00Z\",\n",
+    "    \"shape\": str(shape_file),\n",
+    "    \"filenames\": {\n",
+    "        \"pr\": f\"combined_ERA5_{periods[0][0]}_{periods[1][-1]}_pr.nc\",\n",
+    "        \"tas\": f\"combined_ERA5_{periods[0][0]}_{periods[1][-1]}_tas.nc\",\n",
+    "        \"rsds\": f\"combined_ERA5_{periods[0][0]}_{periods[1][-1]}_rsds.nc\",\n",
+    "        \"evspsblpot\": f\"combined_ERA5_{periods[0][0]}_{periods[1][-1]}_evspsblpot.nc\"\n",
+    "    }}\n",
+    "\n",
+    "# Save the YAML file\n",
+    "yaml_file_path = combined_path / \"ewatercycle_forcing.yaml\"\n",
+    "\n",
+    "with open(yaml_file_path, \"w\") as yaml_file:\n",
+    "    yaml.dump(forcing_yaml, yaml_file, default_flow_style=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "10ff50bf-b6e7-4033-9682-3e25d01ecd26",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">LumpedMakkinkForcing</span><span style=\"font-weight: bold\">(</span>\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">start_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'1970-01-01T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">end_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'1999-12-31T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">directory</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1970-1999'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">shape</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">filenames</span>=<span style=\"font-weight: bold\">{</span>\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'evspsblpot'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1970_1999_evspsblpot.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'pr'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1970_1999_pr.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'rsds'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1970_1999_rsds.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'tas'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1970_1999_tas.nc'</span>\n",
+       "    <span style=\"font-weight: bold\">}</span>\n",
+       "<span style=\"font-weight: bold\">)</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1;35mLumpedMakkinkForcing\u001b[0m\u001b[1m(\u001b[0m\n",
+       "    \u001b[33mstart_time\u001b[0m=\u001b[32m'1970-01-01T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mend_time\u001b[0m=\u001b[32m'1999-12-31T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mdirectory\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1970-1999'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mshape\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mfilenames\u001b[0m=\u001b[1m{\u001b[0m\n",
+       "        \u001b[32m'evspsblpot'\u001b[0m: \u001b[32m'combined_ERA5_1970_1999_evspsblpot.nc'\u001b[0m,\n",
+       "        \u001b[32m'pr'\u001b[0m: \u001b[32m'combined_ERA5_1970_1999_pr.nc'\u001b[0m,\n",
+       "        \u001b[32m'rsds'\u001b[0m: \u001b[32m'combined_ERA5_1970_1999_rsds.nc'\u001b[0m,\n",
+       "        \u001b[32m'tas'\u001b[0m: \u001b[32m'combined_ERA5_1970_1999_tas.nc'\u001b[0m\n",
+       "    \u001b[1m}\u001b[0m\n",
+       "\u001b[1m)\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "ERA5_combined_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=combined_path)\n",
+    "print(ERA5_combined_forcing)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/Workyard/Step2_Algorithm_Ice.ipynb b/Workyard/Step2_Algorithm_Ice.ipynb
new file mode 100644
index 00000000..df6cd4f0
--- /dev/null
+++ b/Workyard/Step2_Algorithm_Ice.ipynb
@@ -0,0 +1,913 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "d3382417-3993-4e5d-8390-0c6cc4197326",
+   "metadata": {},
+   "source": [
+    "## Startup"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "bb67d97e-8317-4b2f-be8e-c8ac9f45f196",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General python\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\", category=UserWarning)\n",
+    "\n",
+    "import numpy as np\n",
+    "from pathlib import Path\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import xarray as xr\n",
+    "\n",
+    "# Niceties\n",
+    "from rich import print"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "862f09e2-4350-4eb5-8bdc-d865a99076eb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General eWaterCycle\n",
+    "import ewatercycle\n",
+    "import ewatercycle.models\n",
+    "import ewatercycle.forcing"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "4c68de36-ea9f-43be-aa9e-13fdd7b4a3ab",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Defining time period & q_critical\n",
+    "\n",
+    "experiment_start_date = \"2014-01-01T00:00:00Z\"\n",
+    "experiment_end_date = \"2014-12-31T00:00:00Z\"\n",
+    "\n",
+    "q_critical = 500\n",
+    "\n",
+    "hysets_id = \"hysets_07DA001\"\n",
+    "basin_size = 132572"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "c2d00787-45c7-4f63-8641-5f1f5f67127e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Loading in data\n",
+    "\n",
+    "forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"ERA5-1970-2024\"\n",
+    "forcing_path_ERA5.mkdir(exist_ok=True, parents=True)\n",
+    "\n",
+    "discharge_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
+    "\n",
+    "shape_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "\n",
+    "calibration_temp = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"calibration_temp\"\n",
+    "calibration_temp.mkdir(parents=True, exist_ok=True)\n",
+    "\n",
+    "# Load CSV discharge 07DA001\n",
+    "q_obs = pd.read_csv(discharge_file, skiprows=1)\n",
+    "q_obs = q_obs[[\"Date\", \"Value\"]].copy()\n",
+    "q_obs[\"Date\"] = pd.to_datetime(q_obs[\"Date\"])\n",
+    "q_obs = q_obs.rename(columns={\"Value\": \"discharge_m3s\"})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "bf6b9b66-876f-40da-8862-bd742448d87f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# # Loading in data\n",
+    "\n",
+    "# forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"forcings\" / \"ERA5-1970-2024\"\n",
+    "# forcing_path_ERA5.mkdir(exist_ok=True, parents=True)\n",
+    "\n",
+    "# discharge_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
+    "\n",
+    "# shape_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "\n",
+    "# calibration_temp = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"calibration_temp\"\n",
+    "# calibration_temp.mkdir(parents=True, exist_ok=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "b40fb132-370d-4584-b198-4a789d02abc8",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Date</th>\n",
+       "      <th>discharge_m3s</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>20367</th>\n",
+       "      <td>2014-01-01</td>\n",
+       "      <td>177.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20368</th>\n",
+       "      <td>2014-01-02</td>\n",
+       "      <td>188.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20369</th>\n",
+       "      <td>2014-01-03</td>\n",
+       "      <td>198.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20370</th>\n",
+       "      <td>2014-01-04</td>\n",
+       "      <td>204.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20371</th>\n",
+       "      <td>2014-01-05</td>\n",
+       "      <td>208.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            Date  discharge_m3s\n",
+       "20367 2014-01-01          177.0\n",
+       "20368 2014-01-02          188.0\n",
+       "20369 2014-01-03          198.0\n",
+       "20370 2014-01-04          204.0\n",
+       "20371 2014-01-05          208.0"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Filter q_obs to start & end date\n",
+    "\n",
+    "start_date = pd.to_datetime(experiment_start_date.replace(\"Z\", \"\"))\n",
+    "end_date = pd.to_datetime(experiment_end_date.replace(\"Z\", \"\"))\n",
+    "\n",
+    "q_obs = q_obs[\n",
+    "    (q_obs[\"Date\"] >= start_date) &\n",
+    "    (q_obs[\"Date\"] <= end_date)\n",
+    "].copy()\n",
+    "\n",
+    "q_obs.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "eb8f1766-b180-4486-9cec-6539c086eb7f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1200x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot q_obs\n",
+    "\n",
+    "plt.figure(figsize=(12, 5))\n",
+    "plt.plot(q_obs[\"Date\"], q_obs[\"discharge_m3s\"], label=\"Observed discharge\")\n",
+    "\n",
+    "plt.xlabel(\"Date\")\n",
+    "plt.ylabel(\"Discharge (m³/s)\")\n",
+    "plt.title(\"Observed daily discharge at 07DA001\")\n",
+    "\n",
+    "plt.axhline(\n",
+    "    y=q_critical,\n",
+    "    linestyle=\":\",\n",
+    "    label=f\"Critical discharge ({q_critical} m³/s)\",\n",
+    "    color='black'\n",
+    ")\n",
+    "\n",
+    "plt.legend()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "07a239a5-398f-4ad2-9a33-f2d199485309",
+   "metadata": {},
+   "source": [
+    "# Finding range"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9c87425e-c0d7-49ad-aab7-57bb5df5af0d",
+   "metadata": {},
+   "source": [
+    "## Start of range (freshet)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "504d4401-3712-406b-b9ef-884db8702c28",
+   "metadata": {},
+   "source": [
+    "### Idea 1: Rate of change\n",
+    "\n",
+    "gemiddelde dQ over 5 dagen periode moet groter zijn dan 15 m^3/s increase per dag voor consecutive dagen \n",
+    "& Q > Q_kritisch"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "204f6612-01b4-43c5-aff4-d345817047d9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# # Define dQ\n",
+    "\n",
+    "# dQ = Q_today - Q_yesterday\n",
+    "\n",
+    "# dQ over 5 dagen periode moet groter zijn dan x m^3/s increase per dag voor consecutive dagen \n",
+    "# & Q > q_kritisch\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "dc8791fb-3dac-425a-b5bd-45cdb8a0331f",
+   "metadata": {},
+   "source": [
+    "### Idea 2: Q_critical "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "727e107a-465a-4947-ba90-494ec323a262",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>year</th>\n",
+       "      <th>first_above_critical_date</th>\n",
+       "      <th>discharge_m3s</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2014</td>\n",
+       "      <td>2014-04-23</td>\n",
+       "      <td>506.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   year first_above_critical_date  discharge_m3s\n",
+       "0  2014                2014-04-23          506.0"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Create pd for identified critical dates\n",
+    "\n",
+    "freshet_start_date = []\n",
+    "\n",
+    "for year, group in q_obs.groupby(q_obs[\"Date\"].dt.year):\n",
+    "\n",
+    "    # Set start date to March 1\n",
+    "    start_date_algorithm = pd.to_datetime(f\"{year}-03-01\")\n",
+    "    season_data = group[group[\"Date\"] >= start_date_algorithm].copy()\n",
+    "    \n",
+    "    # Identify first day where q > q_critical\n",
+    "    \n",
+    "    above_critical = season_data[\n",
+    "        season_data[\"discharge_m3s\"] > q_critical\n",
+    "    ]\n",
+    "    \n",
+    "    if len(above_critical) > 0:\n",
+    "        first_day = above_critical.iloc[0]\n",
+    "        \n",
+    "        freshet_start_date.append({\n",
+    "            \"year\": year,\n",
+    "            \"first_above_critical_date\": first_day[\"Date\"],\n",
+    "            \"discharge_m3s\": first_day[\"discharge_m3s\"]\n",
+    "        })\n",
+    "    else:\n",
+    "        freshet_start_date.append({\n",
+    "            \"year\": year,\n",
+    "            \"first_above_critical_date\": pd.NaT,\n",
+    "            \"discharge_m3s\": None\n",
+    "        })\n",
+    "\n",
+    "freshet_start_date = pd.DataFrame(freshet_start_date)\n",
+    "\n",
+    "freshet_start_date"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "e20e293c-245d-47da-9b45-1c9675f989f4",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1200x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot q_obs\n",
+    "\n",
+    "plt.figure(figsize=(12, 5))\n",
+    "plt.plot(q_obs[\"Date\"], q_obs[\"discharge_m3s\"], label='Observed discharge')\n",
+    "\n",
+    "plt.xlabel(\"Date\")\n",
+    "plt.ylabel(\"Discharge (m³/s)\")\n",
+    "plt.title(\"Observed daily discharge at 07DA001\")\n",
+    "\n",
+    "plt.axhline(\n",
+    "    y=q_critical,\n",
+    "    linestyle=\":\",\n",
+    "    label=f\"Critical discharge ({q_critical} m³/s)\",\n",
+    "    color='black'\n",
+    "    )\n",
+    "\n",
+    "for date in freshet_start_date[\"first_above_critical_date\"].dropna():\n",
+    "    plt.axvline(\n",
+    "        x=date,\n",
+    "        linestyle=':',\n",
+    "        color='orange',\n",
+    "        label='Start navigable season'\n",
+    "    )\n",
+    "        \n",
+    "plt.legend()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "id": "39bd4c7f-1a15-464d-bddd-6c3e05088566",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1000x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Convert date to day of year\n",
+    "freshet_start_date[\"day_of_year\"] = (freshet_start_date[\"first_above_critical_date\"].dt.dayofyear)\n",
+    "\n",
+    "# Make plot \n",
+    "plt.figure(figsize=(10, 5))\n",
+    "plt.scatter(freshet_start_date[\"day_of_year\"], freshet_start_date[\"year\"], marker=\"o\")\n",
+    "\n",
+    "plt.xlabel(\"Date\")\n",
+    "plt.ylabel(\"Year\")\n",
+    "plt.title(\"First date discharge exceeds critical threshold between 1970-2024\")\n",
+    "plt.grid(True)\n",
+    "\n",
+    "# Convert day of year to day in months (on the axis)\n",
+    "plt.xticks(\n",
+    "    [60, 65, 70, 75, 80, 85, 90,\n",
+    "     95, 100, 105, 110, 115, 120,\n",
+    "     125, 130, 135, 140, 145, 150],\n",
+    "    [\"Mar 1\", \"Mar 6\", \"Mar 11\", \"Mar 16\", \"Mar 21\", \"Mar 26\", \"Mar 31\",\n",
+    "     \"Apr 5\", \"Apr 10\", \"Apr 15\", \"Apr 20\", \"Apr 25\", \"Apr 30\",\n",
+    "     \"May 5\", \"May 10\", \"May 15\", \"May 20\", \"May 25\", \"May 30\"],\n",
+    ")\n",
+    "\n",
+    "# Automate x-axis range to fit data\n",
+    "plt.xlim((freshet_start_date[\"day_of_year\"].min()-1), (freshet_start_date[\"day_of_year\"].max()+1))\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "1bf87b1f-7a42-4819-af63-2dc95649c8fb",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1000x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Creating bar graph\n",
+    "\n",
+    "# Choose bin size\n",
+    "bin_size = 5   # use 10 for 10-day periods\n",
+    "\n",
+    "# Convert date to day of year\n",
+    "freshet_start_date[\"day_of_year\"] = freshet_start_date[\"first_above_critical_date\"].dt.dayofyear\n",
+    "\n",
+    "# Create bins\n",
+    "freshet_start_date[\"date_bin\"] = (freshet_start_date[\"day_of_year\"] // bin_size) * bin_size\n",
+    "\n",
+    "# Count how many years fall in each bin\n",
+    "freshet_counts = freshet_start_date.groupby(\"date_bin\").size()\n",
+    "\n",
+    "# Plot bar chart\n",
+    "plt.figure(figsize=(10, 5))\n",
+    "plt.bar(freshet_counts.index, freshet_counts.values, width=bin_size)\n",
+    "\n",
+    "# Convert x-axis from day-of-year to calendar dates\n",
+    "tick_days = freshet_counts.index\n",
+    "tick_labels = [\n",
+    "    (pd.to_datetime(\"2001-01-01\") + pd.to_timedelta(day - 1, unit=\"D\")).strftime(\"%b %d\")\n",
+    "    for day in tick_days\n",
+    "]\n",
+    "\n",
+    "plt.xticks(tick_days, tick_labels, rotation=45)\n",
+    "\n",
+    "plt.xlabel(\"Date period\")\n",
+    "plt.ylabel(\"Number of years\")\n",
+    "plt.title(\"First date discharge exceeds critical threshold\")\n",
+    "plt.grid(axis=\"y\")\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d32414f7-d742-48cb-9d94-50441c3f550c",
+   "metadata": {},
+   "source": [
+    "## End of range (river freeze-up)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f912ae02-7887-4bf3-af61-0ccc4c154fef",
+   "metadata": {},
+   "source": [
+    "### Idea 1: Critical when AFDD = x\n",
+    "\n",
+    "AFDD is Accumulated Freeze Degree Days. It calculates the accumulative temperature under 0. \n",
+    "Example: If 3 days have a mean temperature of -5 C per day, the AFDD would be 15. \n",
+    "\n",
+    "A study shows the LAR forms an ice sheet when AFDD reaches (approx) 50 degrees. https://www.iahr.org/library/infor?pid=26767 (Figure 6)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7aa6524c-9140-4756-bfc9-c67947740a8e",
+   "metadata": {},
+   "source": [
+    "### Load ERA5-forcings & TAS data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "id": "9e315bb0-0085-43e0-b0a0-0d23d6bc4ba0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Generate ERA5 data\n",
+    "\n",
+    "# ERA5_forcing = ewatercycle.forcing.sources['LumpedMakkinkForcing'].generate(\n",
+    "#     dataset=\"ERA5\",\n",
+    "#     start_time=experiment_start_date,\n",
+    "#     end_time=experiment_end_date,\n",
+    "#     shape=shape_file,\n",
+    "#     directory=forcing_path_ERA5\n",
+    "# )\n",
+    "\n",
+    "# Load ERA5 data\n",
+    "\n",
+    "# load_location = forcing_path_ERA5 / \"work\" / \"diagnostic\" / \"script\" \n",
+    "# ERA5_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=load_location)\n",
+    "\n",
+    "ERA5_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=forcing_path_ERA5)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "id": "e90fb4e3-9f06-405c-bc08-fcbc28c0ef7c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Exract tas file from Era5\n",
+    "tas_file = Path(ERA5_forcing.directory) / ERA5_forcing.filenames[\"tas\"]\n",
+    "\n",
+    "# Extract tas data from tas file\n",
+    "temp_data = xr.open_dataset(tas_file)[\"tas\"]\n",
+    "\n",
+    "# Convert to panda\n",
+    "temp_data = temp_data.to_series()\n",
+    "temp_data.index = pd.to_datetime(temp_data.index).tz_localize(None).normalize()\n",
+    "\n",
+    "# Convert Kelvin to Celsius:\n",
+    "temp_data = temp_data - 273.15\n",
+    "\n",
+    "# Create dataframe with Date, Temp & year as columns\n",
+    "temp_data = pd.DataFrame({\n",
+    "    \"Date\": temp_data.index,\n",
+    "    \"Temp\": temp_data.values,\n",
+    "    \"year\": temp_data.index.year\n",
+    "})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "id": "54ebf5d5-9ad6-4a37-8301-f204b1059c06",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">   year AFDD_critical_date       AFDD       Temp\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2014</span>         <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2014</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">11</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">10</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">41.426453</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">-13.859253</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "   year AFDD_critical_date       AFDD       Temp\n",
+       "\u001b[1;36m0\u001b[0m  \u001b[1;36m2014\u001b[0m         \u001b[1;36m2014\u001b[0m-\u001b[1;36m11\u001b[0m-\u001b[1;36m10\u001b[0m  \u001b[1;36m41.426453\u001b[0m \u001b[1;36m-13.859253\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>year</th>\n",
+       "      <th>AFDD_critical_date</th>\n",
+       "      <th>AFDD</th>\n",
+       "      <th>Temp</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2014</td>\n",
+       "      <td>2014-11-10</td>\n",
+       "      <td>41.426453</td>\n",
+       "      <td>-13.859253</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   year AFDD_critical_date       AFDD       Temp\n",
+       "0  2014         2014-11-10  41.426453 -13.859253"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "AFDD_critical = 30\n",
+    "AFDD_critical_dates = []\n",
+    "\n",
+    "# min_subzero_days = 5\n",
+    "# consec_days = 7\n",
+    "\n",
+    "start_year = start_date.year\n",
+    "end_year = end_date.year\n",
+    "\n",
+    "for year in range(start_year, end_year + 1):\n",
+    "\n",
+    "    # Set start date to 1 August\n",
+    "    year_data = temp_data[\n",
+    "        (temp_data[\"year\"] == year) &\n",
+    "        (temp_data[\"Date\"] >= pd.to_datetime(f\"{year}-10-01\"))\n",
+    "    ]\n",
+    "\n",
+    "    AFDD = 0\n",
+    "    \n",
+    "    # Isolate datasets of date & temperature data to each year \n",
+    "    for i in range(len(year_data)):\n",
+    "        temp = year_data.iloc[i][\"Temp\"]\n",
+    "        date = year_data.iloc[i][\"Date\"]\n",
+    "\n",
+    "        # Cumulative AFDD\n",
+    "        if temp < 0:\n",
+    "            AFDD += -temp\n",
+    "\n",
+    "        # Append when AFDD is critical\n",
+    "        if AFDD >= AFDD_critical:\n",
+    "            AFDD_critical_dates.append({\n",
+    "                \"year\": year,\n",
+    "                \"AFDD_critical_date\": date,\n",
+    "                \"AFDD\": AFDD,\n",
+    "                \"Temp\": temp\n",
+    "            })\n",
+    "\n",
+    "            break \n",
+    "\n",
+    "AFDD_critical_dates = pd.DataFrame(AFDD_critical_dates)\n",
+    "\n",
+    "print(AFDD_critical_dates)\n",
+    "\n",
+    "        # # Criteria 1: 5 of 7 consecutive days must be sub-zero\n",
+    "        # if i >= consec_days - 1:\n",
+    "        #     last_7_days = year_data.iloc[i - consec_days + 1 : i + 1]\n",
+    "        #     subzero_days = 0\n",
+    "\n",
+    "        #     for j in range(len(last_7_days)):\n",
+    "        #         if last_7_days.iloc[j][\"Temp\"] < 0:\n",
+    "        #             subzero_days += 1\n",
+    "\n",
+    "        #      if AFDD >= AFDD_critical and subzero_days >= required_subzero_days:\n",
+    "        #         AFDD_critical_dates.append({\n",
+    "        #             \"year\": year,\n",
+    "        #             \"AFDD_critical_date\": date,\n",
+    "        #             \"AFDD\": AFDD,\n",
+    "        #             \"Subzero days in 7 day period\": subzero_days\n",
+    "        #     })\n",
+    "        #     break\n",
+    "\n",
+    "AFDD_critical_dates"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "id": "861083f4-0521-4186-a73d-9c2aca2befa3",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1000x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Convert date to day of year\n",
+    "AFDD_critical_dates[\"day_of_year\"] = (AFDD_critical_dates[\"AFDD_critical_date\"].dt.dayofyear)\n",
+    "\n",
+    "# Make plot \n",
+    "plt.figure(figsize=(10, 5))\n",
+    "plt.scatter(AFDD_critical_dates[\"day_of_year\"], AFDD_critical_dates[\"year\"], marker=\"o\")\n",
+    "\n",
+    "plt.xlabel(\"Date\")\n",
+    "plt.ylabel(\"Year\")\n",
+    "plt.title(f\"Date of river freeze-up (AFDD >= {AFDD_critical}) between 1970-2024\")\n",
+    "plt.grid(True)\n",
+    "\n",
+    "# Convert day of year to day in months (on the axis)\n",
+    "plt.xticks(\n",
+    "    [274, 279, 284, 289, 294, 299, 304,\n",
+    "     309, 314, 319, 324, 329, 334, 339,\n",
+    "     344, 349, 354, 359, 364, 366],\n",
+    "    [\"Oct 1\", \"Oct 6\", \"Oct 11\", \"Oct 16\", \"Oct 21\", \"Oct 26\", \"Oct 31\",\n",
+    "     \"Nov 5\", \"Nov 10\", \"Nov 15\", \"Nov 20\", \"Nov 25\", \"Nov 30\", \"Dec 5\",\n",
+    "     \"Dec 10\", \"Dec 15\", \"Dec 20\", \"Dec 25\", \"Dec 30\", \"Dec 31\"],\n",
+    ")\n",
+    "\n",
+    "# Prevent y-axis from showing decimal years\n",
+    "# plt.yticks(range(start_year, end_year + 1))\n",
+    "\n",
+    "# Automate x-axis range to fit data\n",
+    "plt.xlim((AFDD_critical_dates[\"day_of_year\"].min()-1), (AFDD_critical_dates[\"day_of_year\"].max()+1))\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "id": "7995d878-10ac-4e6e-aa0f-b8e281d5aaf6",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1000x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot temp for 1 year for fun:\n",
+    "selected_year = 2014\n",
+    "year_data = temp_data[temp_data[\"year\"] == selected_year]\n",
+    "\n",
+    "plt.figure(figsize=(10, 5))\n",
+    "plt.title(f\"Temperature time series showing date of river freeze-up (AFDD >= {AFDD_critical}) for 2014\")\n",
+    "plt.scatter(year_data[\"Date\"], year_data[\"Temp\"], marker=\"o\")\n",
+    "plt.axhline(\n",
+    "    y=0,\n",
+    "    linestyle=\":\",\n",
+    "    color=\"black\",\n",
+    "    label=\"0°C\"\n",
+    ")\n",
+    "\n",
+    "# Extract & plot critical AFDD date for selected year\n",
+    "AFDD_critical_date = AFDD_critical_dates.loc[AFDD_critical_dates[\"year\"] == selected_year, \"AFDD_critical_date\"].iloc[0]\n",
+    "plt.axvline(\n",
+    "    x=AFDD_critical_date,\n",
+    "    linestyle=\":\",\n",
+    "    color=\"orange\",\n",
+    "    label=\"River freeze-up\"\n",
+    ")\n",
+    "\n",
+    "plt.xlabel(\"Date\")\n",
+    "plt.ylabel(\"Temperature (°C)\")\n",
+    "plt.legend()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5b3a1903-f809-45da-ad01-13313da0afea",
+   "metadata": {},
+   "source": [
+    "### Idea 2: Critical when q_critical < 500"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6e7f55d8-67b3-4721-912b-511875ecdbb4",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a0f3c170-d57e-4d00-80c0-1bc1f090b940",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f655679f-10de-42bf-88b9-ef58385bd62c",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c6b724d3-19f0-4ec3-9bb6-1828e22b320d",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "078fc0ee-197a-45de-87b5-9a00eec5801f",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "fabbb9d8-1446-474d-b329-83c221d3f018",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/Workyard/Step3_Calibration_HBV.ipynb b/Workyard/Step3_Calibration_HBV.ipynb
new file mode 100644
index 00000000..b2902e3b
--- /dev/null
+++ b/Workyard/Step3_Calibration_HBV.ipynb
@@ -0,0 +1,9072 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "fbc7f454-3d60-492d-aa6c-0ce21a0dfc77",
+   "metadata": {},
+   "source": [
+    "## Startup\n",
+    "\n",
+    "\n",
+    "80/20 rule:\n",
+    "80% calibration (2000-2020)\n",
+    "20% validation (2020-2025)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "95a06f73-282f-4c7c-8333-f002e73e205a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General python\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\", category=UserWarning)\n",
+    "\n",
+    "import numpy as np\n",
+    "from pathlib import Path\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import xarray as xr\n",
+    "\n",
+    "# Niceties\n",
+    "from rich import print\n",
+    "\n",
+    "from ipywidgets import IntProgress\n",
+    "from IPython.display import display"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "8b61a012-64eb-48b2-ba78-f641a1a581a3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General eWaterCycle\n",
+    "import ewatercycle\n",
+    "import ewatercycle.models\n",
+    "import ewatercycle.forcing"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a860a623-f634-4b50-822c-51e09ab4e594",
+   "metadata": {},
+   "source": [
+    "### Defining variables & pathways"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "970798cd-b737-44f3-8edd-de3352b86efd",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Choosing time period & basin si\n",
+    "\n",
+    "experiment_start_date = \"2000-01-01T00:00:00Z\"\n",
+    "experiment_end_date = \"2005-12-31T00:00:00Z\"\n",
+    "\n",
+    "calibration_start = \"1999-01-01T00:00:00Z\"\n",
+    "calibration_end = \"2019-12-31T00:00:00Z\"\n",
+    "\n",
+    "# validation_start = \"\"\n",
+    "# validation_end = \"\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "c3b02d32-4be2-47a7-8935-8284af182d66",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create pathways for ERA 5 forcings\n",
+    "\n",
+    "forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"ERA5-1999-2019\"\n",
+    "\n",
+    "discharge_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
+    "\n",
+    "shape_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "basin_size = 132572\n",
+    "\n",
+    "calibration_temp = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"calibration_temp\"\n",
+    "calibration_temp.mkdir(parents=True, exist_ok=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "241efaf0-94fc-4e07-8a62-151661dc4343",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# # Create pathways for ERA 5 forcings\n",
+    "\n",
+    "# forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"forcings\" / \"ERA5-1999-2019\"\n",
+    "\n",
+    "# discharge_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
+    "\n",
+    "# shape_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "# basin_size = 132572\n",
+    "\n",
+    "# calibration_temp = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"calibration_temp\"\n",
+    "# calibration_temp.mkdir(parents=True, exist_ok=True)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fd4ec71b-d4f6-4a1c-be9a-f8d3b89059d1",
+   "metadata": {},
+   "source": [
+    "### Load & prepare discharge data "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "d590f365-72ad-4473-9996-88820ea52c18",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load CSV discharge 07DA001\n",
+    "\n",
+    "q_obs = pd.read_csv(discharge_file, skiprows=1)\n",
+    "q_obs = q_obs[[\"Date\", \"Value\"]].copy()\n",
+    "q_obs[\"Date\"] = pd.to_datetime(q_obs[\"Date\"])\n",
+    "q_obs = q_obs.rename(columns={\"Value\": \"discharge_m3s\"})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "1cec4b74-037a-4d48-8769-e0b57a7683aa",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Filter q_obs to start & end date\n",
+    "\n",
+    "# start_date = pd.to_datetime(experiment_start_date.replace(\"Z\", \"\"))\n",
+    "# end_date = pd.to_datetime(experiment_end_date.replace(\"Z\", \"\"))\n",
+    "\n",
+    "# q_obs = q_obs[(q_obs[\"Date\"] >= start_date) & (q_obs[\"Date\"] <= end_date)]\n",
+    "# observed_output = pd.Series(data=q_obs[\"discharge_m3s\"].to_numpy(), name=\"Observed discharge\", index=q_obs[\"Date\"])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a7c47f7f-18ff-4441-b1d4-975e46e1719b",
+   "metadata": {},
+   "source": [
+    "### Generate or Load ERA5 data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "eb582ebf-8fbc-4542-b785-cee2f332bdd5",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">LumpedMakkinkForcing</span><span style=\"font-weight: bold\">(</span>\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">start_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'1999-01-01T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">end_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'2019-12-31T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">directory</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1999-2019'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">shape</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">filenames</span>=<span style=\"font-weight: bold\">{</span>\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'evspsblpot'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1999_2019_evspsblpot.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'pr'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1999_2019_pr.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'rsds'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1999_2019_rsds.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'tas'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1999_2019_tas.nc'</span>\n",
+       "    <span style=\"font-weight: bold\">}</span>\n",
+       "<span style=\"font-weight: bold\">)</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1;35mLumpedMakkinkForcing\u001b[0m\u001b[1m(\u001b[0m\n",
+       "    \u001b[33mstart_time\u001b[0m=\u001b[32m'1999-01-01T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mend_time\u001b[0m=\u001b[32m'2019-12-31T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mdirectory\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1999-2019'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mshape\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mfilenames\u001b[0m=\u001b[1m{\u001b[0m\n",
+       "        \u001b[32m'evspsblpot'\u001b[0m: \u001b[32m'combined_ERA5_1999_2019_evspsblpot.nc'\u001b[0m,\n",
+       "        \u001b[32m'pr'\u001b[0m: \u001b[32m'combined_ERA5_1999_2019_pr.nc'\u001b[0m,\n",
+       "        \u001b[32m'rsds'\u001b[0m: \u001b[32m'combined_ERA5_1999_2019_rsds.nc'\u001b[0m,\n",
+       "        \u001b[32m'tas'\u001b[0m: \u001b[32m'combined_ERA5_1999_2019_tas.nc'\u001b[0m\n",
+       "    \u001b[1m}\u001b[0m\n",
+       "\u001b[1m)\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Generate ERA5 data\n",
+    "# ERA5_forcing = ewatercycle.forcing.sources['LumpedMakkinkForcing'].generate(\n",
+    "#     dataset=\"ERA5\",\n",
+    "#     start_time=experiment_start_date,\n",
+    "#     end_time=experiment_end_date,\n",
+    "#     shape=shape_file,\n",
+    "# )\n",
+    "\n",
+    "# Load ERA5 data\n",
+    "ERA5_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=forcing_path_ERA5)\n",
+    "\n",
+    "print(ERA5_forcing)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6fc290da-fa08-48f0-83e3-a39e8f5c36ef",
+   "metadata": {},
+   "source": [
+    "## Calibration Methods"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9b95e67e-780e-4a4d-a2f1-4cf9de2b0512",
+   "metadata": {},
+   "source": [
+    "### Method 1: RMSE"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "3da0e944-b4bf-49c6-a986-a94fc14e0bfe",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def RMSE(sim, obs):\n",
+    "    sim = sim.to_numpy()\n",
+    "    obs = obs.to_numpy()\n",
+    "\n",
+    "    return np.sqrt(np.mean((obs - sim)) ** 2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ba51d28d-1fdb-46af-8f8e-5dcf904aba7f",
+   "metadata": {},
+   "source": [
+    "### Method 2: NSE"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "9ff8dc21-0959-49a4-9d4b-496726c90f88",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def NSE(sim, obs):\n",
+    "    sim = sim.to_numpy()\n",
+    "    obs = obs.to_numpy()\n",
+    "\n",
+    "    return 1 - np.sum((obs - sim) ** 2) / np.sum((obs - np.mean(obs)) ** 2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "93f96591-ceb4-4671-9a48-04a0ddbfaf5a",
+   "metadata": {},
+   "source": [
+    "### Method 3: Log_NSE"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "826cfb65-21ba-4901-aafe-37738913c0ee",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def log_NSE(sim, obs):\n",
+    "    # Convert for easy calculations\n",
+    "    sim = sim.to_numpy()\n",
+    "    obs = obs.to_numpy()\n",
+    "\n",
+    "    # Avoid log(0)\n",
+    "    eps = 0.00000000001\n",
+    "\n",
+    "    log_sim = np.log(sim + eps)\n",
+    "    log_obs = np.log(obs + eps)\n",
+    "\n",
+    "    return 1 - np.sum((log_obs - log_sim) ** 2) / np.sum((log_obs - np.mean(log_obs)) ** 2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8dc2e27c-2caa-493a-8ad0-3a8540ff4a18",
+   "metadata": {},
+   "source": [
+    "### Define Parameters & Storages and Times"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "2ed6540e-ec2f-4f80-975f-66fee4b2a75a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Define initial storages\n",
+    "#               Si,  Su, Sf, Ss, Sp\n",
+    "s_0 = np.array([0,  100,  0,  5,  0])\n",
+    "\n",
+    "# Define parameters (range)\n",
+    "parameter_ranges = {\n",
+    "    \"Imax\":  (5.5, 8),            # Maximum interception storage\n",
+    "    \"Ce\":    (0.35, 0.6),       # Evaporation correction factor\n",
+    "    \"Sumax\": (150, 220),         # Maximum soil moisture storage\n",
+    "    \"Beta\":  (1.6, 2),          # Soil runoff parameter\n",
+    "    \"Pmax\":  (0.1, 0.6),            # Maximum percolation rate\n",
+    "    \"Tlag\":  (5.2, 7),           # Time lag\n",
+    "    \"Kf\":    (0.01, 0.1),       # Fast reservoir recession coefficient\n",
+    "    \"Ks\":    (0.001, 0.1),     # Slow reservoir recession coefficient\n",
+    "    \"FM\":    (0.3, 1.4),          # Snowmelt factor\n",
+    "}\n",
+    "\n",
+    "# parameter_ranges = {\n",
+    "#     \"Imax\":  (6.27, 6.28),            # Maximum interception storage\n",
+    "#     \"Ce\":    (0.48, 0.49),       # Evaporation correction factor\n",
+    "#     \"Sumax\": (174, 175),         # Maximum soil moisture storage\n",
+    "#     \"Beta\":  (1.95, 1.96),          # Soil runoff parameter\n",
+    "#     \"Pmax\":  (0.33, 0.34),            # Maximum percolation rate\n",
+    "#     \"Tlag\":  (6.19, 6.2),           # Time lag\n",
+    "#     \"Kf\":    (0.07, 0.08),       # Fast reservoir recession coefficient\n",
+    "#     \"Ks\":    (0.004, 0.0045),     # Slow reservoir recession coefficient\n",
+    "#     \"FM\":    (0.4, 0.41),          # Snowmelt factor\n",
+    "# }\n",
+    "\n",
+    "# Convert to arrays\n",
+    "parameter_names = list(parameter_ranges.keys())\n",
+    "\n",
+    "p_min = np.array([parameter_ranges[name][0] for name in parameter_names])\n",
+    "p_max = np.array([parameter_ranges[name][1] for name in parameter_names])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fc6ef77d-95ba-4277-ab8c-654fa025894d",
+   "metadata": {},
+   "source": [
+    "### Create samples"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "47df771f-85c1-40a7-9e28-a6dfb3134514",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">[</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7.85285914e+00</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3.89990216e-01</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.76127959e+02</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.92058774e+00</span>\n",
+       " <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5.56024109e-01</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6.99810960e+00</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3.01314564e-02</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6.63774925e-02</span>\n",
+       " <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">9.62585104e-01</span><span style=\"font-weight: bold\">]</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1m[\u001b[0m\u001b[1;36m7.85285914e+00\u001b[0m \u001b[1;36m3.89990216e-01\u001b[0m \u001b[1;36m1.76127959e+02\u001b[0m \u001b[1;36m1.92058774e+00\u001b[0m\n",
+       " \u001b[1;36m5.56024109e-01\u001b[0m \u001b[1;36m6.99810960e+00\u001b[0m \u001b[1;36m3.01314564e-02\u001b[0m \u001b[1;36m6.63774925e-02\u001b[0m\n",
+       " \u001b[1;36m9.62585104e-01\u001b[0m\u001b[1m]\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "### Create samples\n",
+    "N = 600\n",
+    "par_samples = np.random.rand(N, len(parameter_ranges))                  # Generates random values between 0-1\n",
+    "parameter_sets = p_min + par_samples * (p_max - p_min)                  # Fits value to parameter range\n",
+    "\n",
+    "print(parameter_sets[:][0])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e22418a9-e4ba-4890-85a8-abcfd66c85f2",
+   "metadata": {},
+   "source": [
+    "### Define time period"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "9c72add6-8b9f-4b3e-9e9f-77406215c196",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Define time period\n",
+    "calibration_start_date = pd.to_datetime(calibration_start.replace(\"Z\", \"\"))\n",
+    "calibration_end_date = pd.to_datetime(calibration_end.replace(\"Z\", \"\"))\n",
+    "\n",
+    "# Skip 1 year for calibration\n",
+    "evaluation_start = pd.to_datetime(f\"{calibration_start_date.year + 1}-01-01\")\n",
+    "\n",
+    "# Align q_obs\n",
+    "q_obs = q_obs[(q_obs[\"Date\"] >= calibration_start_date) & (q_obs[\"Date\"] <= calibration_end_date)]\n",
+    "observed_output = pd.Series(data=q_obs[\"discharge_m3s\"].to_numpy(), name=\"Observed discharge\", index=q_obs[\"Date\"])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "645d5bb0-de70-4b97-9aa0-93094c91ebe6",
+   "metadata": {},
+   "source": [
+    "## Calibration start function"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "0f58e61f-7178-44f8-8e5e-e1fa402813c9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create function to run the model\n",
+    "\n",
+    "def run_hbv(parameters, initial_storages, forcing):\n",
+    "\n",
+    "    # Create model object\n",
+    "    model = ewatercycle.models.HBV(forcing=forcing)\n",
+    "\n",
+    "    # Create config file\n",
+    "    config_file, _ = model.setup(\n",
+    "        parameters=parameters,\n",
+    "        initial_storages=initial_storages,\n",
+    "        cfg_dir=calibration_temp\n",
+    "    )\n",
+    "\n",
+    "    # Initialising model\n",
+    "    model.initialize(config_file)\n",
+    "\n",
+    "    # Define & update outputs \n",
+    "    Q_m = []\n",
+    "    time = []\n",
+    "\n",
+    "    while model.time < model.end_time:\n",
+    "        model.update()\n",
+    "        Q_m.append(model.get_value(\"Q\")[0])\n",
+    "        time.append(pd.Timestamp(model.time_as_datetime))\n",
+    "\n",
+    "    model.finalize()\n",
+    "\n",
+    "    # Convert mm/day to m3/s\n",
+    "    model_output_mmday = pd.Series(\n",
+    "        data=Q_m, \n",
+    "        index=time, \n",
+    "        name=\"Modelled discharge\"\n",
+    "    )\n",
+    "    model_output_m3s = model_output_mmday * basin_size * 1000 / 86400\n",
+    "\n",
+    "    return model_output_m3s"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1e93b5d4-0a92-4d09-b135-07101e614d9e",
+   "metadata": {},
+   "source": [
+    "### Run HBV loop"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "577e23e5-8db6-45a1-b91b-aae3a46b6c12",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "1ce6bc7773174ef98c9608eb840d31a4",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "IntProgress(value=0, max=600)"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m1\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m2\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m3\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m4\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m5\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m6\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m7\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">8</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m8\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">9</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m9\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">10</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m10\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">11</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m11\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">12</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m12\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">13</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m13\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">14</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m14\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">15</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m15\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">16</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m16\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">17</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m17\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">18</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m18\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">19</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m19\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">20</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m20\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">21</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m21\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">22</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m22\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">23</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m23\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">24</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m24\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">25</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m25\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">26</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m26\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">27</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m27\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">28</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m28\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">29</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m29\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">30</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m30\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">31</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m31\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">32</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m32\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">33</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m33\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">34</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m34\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">35</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m35\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">36</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m36\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">37</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m37\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">38</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m38\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">39</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m39\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">40</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m40\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">41</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m41\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">42</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m42\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">43</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m43\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">44</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m44\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">45</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m45\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">46</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m46\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">47</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m47\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">48</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m48\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">49</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m49\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">50</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m50\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">51</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m51\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">52</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m52\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">53</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m53\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">54</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m54\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">55</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m55\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">56</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m56\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">57</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m57\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">58</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m58\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">59</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m59\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">60</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m60\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">61</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m61\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">62</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m62\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">63</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m63\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">64</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m64\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">65</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m65\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">66</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m66\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">67</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m67\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">68</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m68\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">69</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m69\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">70</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m70\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">71</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m71\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">72</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m72\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">73</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m73\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">74</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m74\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">75</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m75\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">76</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m76\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">77</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m77\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">78</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m78\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">79</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m79\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">80</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m80\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">81</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m81\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">82</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m82\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">83</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m83\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">84</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m84\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">85</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m85\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">86</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m86\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">87</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m87\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">88</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m88\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">89</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m89\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">90</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m90\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">91</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m91\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">92</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m92\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">93</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m93\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">94</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m94\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">95</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m95\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">96</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m96\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">97</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m97\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">98</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m98\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">99</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m99\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">100</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m100\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">101</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m101\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">102</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m102\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">103</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m103\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">104</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m104\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">105</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m105\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">106</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m106\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">107</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m107\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">108</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m108\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">109</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m109\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">110</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m110\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">111</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m111\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">112</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m112\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">113</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m113\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">114</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m114\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">115</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m115\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">116</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m116\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">117</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m117\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">118</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m118\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">119</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m119\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">120</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m120\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">121</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m121\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">122</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m122\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">123</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m123\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">124</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m124\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">125</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m125\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">126</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m126\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">127</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m127\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">128</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m128\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">129</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m129\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">130</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m130\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">131</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m131\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">132</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m132\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">133</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m133\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">134</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m134\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">135</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m135\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">136</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m136\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">137</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m137\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">138</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m138\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">139</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m139\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">140</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m140\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">141</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m141\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">142</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m142\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">143</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m143\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">144</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m144\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">145</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m145\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">146</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m146\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">147</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m147\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">148</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m148\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">149</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m149\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">150</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m150\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">151</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m151\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">152</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m152\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">153</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m153\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">154</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m154\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">155</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m155\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">156</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m156\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">157</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m157\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">158</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m158\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">159</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m159\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">160</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m160\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">161</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m161\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">162</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m162\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">163</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m163\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">164</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m164\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">165</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m165\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">166</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m166\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">167</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m167\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">168</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m168\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">169</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m169\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">170</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m170\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">171</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m171\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">172</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m172\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">173</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m173\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">174</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m174\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">175</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m175\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">176</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m176\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">177</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m177\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">178</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m178\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">179</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m179\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">180</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m180\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">181</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m181\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">182</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m182\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">183</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m183\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">184</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m184\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">185</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m185\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">186</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m186\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">187</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m187\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">188</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m188\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">189</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m189\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">190</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m190\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">191</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m191\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">192</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m192\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">193</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m193\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">194</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m194\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">195</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m195\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">196</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m196\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">197</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m197\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">198</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m198\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">199</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m199\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">200</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m200\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">201</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m201\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">202</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m202\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">203</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m203\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">204</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m204\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">205</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m205\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">206</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m206\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">207</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m207\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">208</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m208\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">209</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m209\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">210</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m210\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">211</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m211\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">212</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m212\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">213</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m213\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">214</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m214\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">215</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m215\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">216</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m216\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">217</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m217\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">218</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m218\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">219</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m219\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">220</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m220\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">221</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m221\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">222</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m222\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">223</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m223\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">224</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m224\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">225</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m225\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">226</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m226\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">227</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m227\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">228</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m228\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">229</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m229\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">230</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m230\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">231</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m231\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">232</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m232\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">233</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m233\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">234</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m234\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">235</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m235\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">236</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m236\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">237</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m237\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">238</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m238\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">239</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m239\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">240</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m240\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">241</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m241\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">242</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m242\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">243</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m243\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">244</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m244\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">245</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m245\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">246</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m246\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">247</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m247\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">248</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m248\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">249</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m249\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">250</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m250\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">251</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m251\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">252</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m252\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">253</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m253\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">254</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m254\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">255</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m255\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">256</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m256\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">257</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m257\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">258</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m258\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">259</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m259\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">260</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m260\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">261</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m261\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">262</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m262\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">263</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m263\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">264</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m264\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">265</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m265\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">266</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m266\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">267</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m267\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">268</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m268\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">269</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m269\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">270</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m270\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">271</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m271\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">272</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m272\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">273</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m273\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">274</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m274\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">275</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m275\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">276</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m276\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">277</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m277\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">278</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m278\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">279</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m279\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">280</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m280\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">281</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m281\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">282</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m282\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">283</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m283\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">284</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m284\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">285</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m285\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">286</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m286\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">287</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m287\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">288</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m288\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">289</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m289\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">290</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m290\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">291</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m291\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">292</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m292\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">293</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m293\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">294</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m294\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">295</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m295\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">296</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m296\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">297</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m297\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">298</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m298\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">299</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m299\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m300\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">301</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m301\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">302</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m302\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">303</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m303\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">304</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m304\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">305</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m305\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">306</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m306\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">307</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m307\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">308</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m308\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">309</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m309\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">310</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m310\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">311</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m311\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">312</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m312\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">313</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m313\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">314</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m314\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">315</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m315\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">316</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m316\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">317</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m317\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">318</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m318\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">319</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m319\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">320</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m320\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">321</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m321\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">322</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m322\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">323</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m323\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">324</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m324\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">325</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m325\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">326</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m326\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">327</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m327\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">328</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m328\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">329</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m329\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">330</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m330\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">331</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m331\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">332</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m332\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">333</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m333\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">334</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m334\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">335</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m335\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">336</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m336\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">337</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m337\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">338</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m338\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">339</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m339\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">340</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m340\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">341</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m341\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">342</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m342\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">343</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m343\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">344</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m344\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">345</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m345\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">346</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m346\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">347</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m347\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">348</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m348\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">349</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m349\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">350</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m350\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">351</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m351\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">352</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m352\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">353</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m353\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">354</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m354\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">355</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m355\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">356</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m356\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">357</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m357\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">358</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m358\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">359</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m359\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">360</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m360\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">361</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m361\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">362</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m362\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">363</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m363\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">364</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m364\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">365</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m365\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">366</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m366\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">367</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m367\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">368</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m368\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">369</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m369\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">370</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m370\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">371</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m371\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">372</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m372\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">373</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m373\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">374</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m374\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">375</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m375\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">376</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m376\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">377</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m377\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">378</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m378\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">379</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m379\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">380</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m380\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">381</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m381\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">382</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m382\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">383</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m383\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">384</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m384\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">385</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m385\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">386</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m386\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">387</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m387\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">388</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m388\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">389</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m389\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">390</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m390\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">391</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m391\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">392</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m392\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">393</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m393\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">394</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m394\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">395</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m395\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">396</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m396\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">397</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m397\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">398</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m398\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">399</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m399\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">400</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m400\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">401</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m401\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">402</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m402\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">403</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m403\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">404</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m404\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">405</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m405\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">406</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m406\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">407</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m407\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">408</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m408\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">409</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m409\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">410</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m410\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">411</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m411\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">412</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m412\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">413</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m413\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">414</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m414\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">415</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m415\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">416</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m416\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">417</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m417\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">418</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m418\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">419</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m419\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">420</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m420\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">421</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m421\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">422</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m422\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">423</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m423\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">424</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m424\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">425</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m425\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">426</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m426\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">427</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m427\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">428</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m428\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">429</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m429\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">430</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m430\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">431</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m431\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">432</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m432\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">433</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m433\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">434</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m434\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">435</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m435\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">436</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m436\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">437</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m437\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">438</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m438\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">439</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m439\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">440</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m440\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">441</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m441\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">442</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m442\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">443</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m443\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">444</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m444\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">445</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m445\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">446</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m446\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">447</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m447\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">448</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m448\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">449</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m449\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">450</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m450\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">451</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m451\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">452</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m452\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">453</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m453\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">454</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m454\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">455</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m455\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">456</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m456\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">457</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m457\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">458</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m458\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">459</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m459\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">460</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m460\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">461</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m461\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">462</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m462\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">463</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m463\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">464</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m464\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">465</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m465\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">466</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m466\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">467</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m467\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">468</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m468\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">469</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m469\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">470</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m470\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">471</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m471\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">472</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m472\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">473</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m473\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">474</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m474\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">475</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m475\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">476</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m476\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">477</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m477\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">478</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m478\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">479</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m479\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">480</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m480\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">481</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m481\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">482</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m482\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">483</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m483\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">484</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m484\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">485</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m485\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">486</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m486\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">487</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m487\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">488</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m488\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">489</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m489\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">490</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m490\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">491</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m491\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">492</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m492\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">493</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m493\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">494</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m494\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">495</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m495\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">496</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m496\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">497</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m497\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">498</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m498\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">499</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m499\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">500</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m500\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">501</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m501\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">502</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m502\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">503</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m503\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">504</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m504\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">505</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m505\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">506</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m506\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">507</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m507\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">508</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m508\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">509</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m509\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">510</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m510\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">511</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m511\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">512</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m512\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">513</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m513\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">514</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m514\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">515</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m515\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">516</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m516\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">517</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m517\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">518</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m518\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">519</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m519\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">520</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m520\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">521</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m521\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">522</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m522\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">523</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m523\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">524</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m524\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">525</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m525\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">526</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m526\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">527</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m527\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">528</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m528\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">529</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m529\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">530</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m530\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">531</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m531\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">532</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m532\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">533</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m533\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">534</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m534\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">535</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m535\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">536</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m536\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">537</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m537\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">538</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m538\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">539</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m539\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">540</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m540\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">541</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m541\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">542</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m542\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">543</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m543\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">544</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m544\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">545</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m545\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">546</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m546\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">547</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m547\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">548</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m548\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">549</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m549\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">550</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m550\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">551</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m551\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">552</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m552\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">553</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m553\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">554</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m554\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">555</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m555\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">556</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m556\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">557</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m557\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">558</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m558\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">559</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m559\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">560</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m560\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">561</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m561\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">562</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m562\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">563</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m563\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">564</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m564\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">565</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m565\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">566</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m566\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">567</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m567\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">568</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m568\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">569</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m569\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">570</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m570\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">571</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m571\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">572</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m572\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">573</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m573\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">574</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m574\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">575</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m575\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">576</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m576\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">577</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m577\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">578</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m578\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">579</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m579\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">580</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m580\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">581</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m581\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">582</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m582\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">583</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m583\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">584</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m584\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">585</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m585\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">586</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m586\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">587</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m587\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">588</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m588\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">589</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m589\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">590</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m590\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">591</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m591\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">592</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m592\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">593</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m593\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">594</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m594\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">595</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m595\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">596</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m596\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">597</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m597\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">598</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m598\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">599</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m599\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m600\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "results = []\n",
+    "\n",
+    "# Progress bar for visualization\n",
+    "f = IntProgress(min=0, max=N)\n",
+    "display(f)\n",
+    "\n",
+    "for i in range(N):\n",
+    "    print(f\"Running parameter set {i+1}/{N}\")\n",
+    "\n",
+    "    simulated = run_hbv(\n",
+    "        parameters=parameter_sets[i], \n",
+    "        initial_storages=s_0, \n",
+    "        forcing=ERA5_forcing\n",
+    "    )\n",
+    "\n",
+    "    # Filter data by day only, not by day & time to prevent alignment issues\n",
+    "    simulated_daily = simulated\n",
+    "    observed_daily = observed_output\n",
+    "\n",
+    "    simulated_daily.index = pd.to_datetime(simulated_daily.index).tz_localize(None).normalize()\n",
+    "    observed_daily.index = pd.to_datetime(observed_daily.index).tz_localize(None).normalize()\n",
+    "    \n",
+    "    # Align simulated and observed data\n",
+    "    combined_data = pd.DataFrame(\n",
+    "        {\"Modelled discharge\": simulated_daily, \n",
+    "        \"Observed discharge\": observed_daily}\n",
+    "    ).dropna()\n",
+    "\n",
+    "    # Skip first year as warm-up\n",
+    "    combined_data = combined_data[\n",
+    "        (combined_data.index >= evaluation_start) &\n",
+    "        (combined_data.index <= calibration_end_date)\n",
+    "    ]\n",
+    "\n",
+    "    # Exclude ice-affected winter period\n",
+    "    combined_data = combined_data[\n",
+    "        ~combined_data.index.month.isin([11, 12, 1, 2, 3, 4])\n",
+    "    ]\n",
+    "\n",
+    "    # Append results and drop nan\n",
+    "    if combined_data.empty:\n",
+    "        print(f\"No overlapping data for parameter set {i+1}\")\n",
+    "        nse = np.nan\n",
+    "        log_nse = np.nan\n",
+    "    else:\n",
+    "        nse = NSE(\n",
+    "            combined_data[\"Modelled discharge\"], \n",
+    "            combined_data[\"Observed discharge\"]\n",
+    "        )\n",
+    "        log_nse = log_NSE(\n",
+    "            combined_data[\"Modelled discharge\"], \n",
+    "            combined_data[\"Observed discharge\"]\n",
+    "        )\n",
+    "        \n",
+    "    results.append({\n",
+    "        \"run\": i,\n",
+    "        \"NSE\": nse,\n",
+    "        \"log_NSE\": log_nse,\n",
+    "        \"parameters\": parameter_sets[i]\n",
+    "    })"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2d7b5f35-f872-4ef5-8ced-c92cdd81c8f8",
+   "metadata": {},
+   "source": [
+    "### Display best results"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "4c69f827-adda-4ec9-8863-abf0ba31e0d2",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">     run       NSE   log_NSE\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0</span>      <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.288376</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.337195</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>      <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.279102</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.480497</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>      <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.384565</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.462463</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>      <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">-0.085379</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.265060</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>      <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.118825</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.395402</span>\n",
+       "..   <span style=\"color: #808000; text-decoration-color: #808000\">...</span>       <span style=\"color: #808000; text-decoration-color: #808000\">...</span>       <span style=\"color: #808000; text-decoration-color: #808000\">...</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">595</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">595</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.378628</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.445890</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">596</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">596</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.190509</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.402412</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">597</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">597</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.034397</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">-0.105571</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">598</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">598</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.174568</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.090100</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">599</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">599</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.379411</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.461890</span>\n",
+       "\n",
+       "<span style=\"font-weight: bold\">[</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span> rows x <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span> columns<span style=\"font-weight: bold\">]</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "     run       NSE   log_NSE\n",
+       "\u001b[1;36m0\u001b[0m      \u001b[1;36m0\u001b[0m  \u001b[1;36m0.288376\u001b[0m  \u001b[1;36m0.337195\u001b[0m\n",
+       "\u001b[1;36m1\u001b[0m      \u001b[1;36m1\u001b[0m  \u001b[1;36m0.279102\u001b[0m  \u001b[1;36m0.480497\u001b[0m\n",
+       "\u001b[1;36m2\u001b[0m      \u001b[1;36m2\u001b[0m  \u001b[1;36m0.384565\u001b[0m  \u001b[1;36m0.462463\u001b[0m\n",
+       "\u001b[1;36m3\u001b[0m      \u001b[1;36m3\u001b[0m \u001b[1;36m-0.085379\u001b[0m  \u001b[1;36m0.265060\u001b[0m\n",
+       "\u001b[1;36m4\u001b[0m      \u001b[1;36m4\u001b[0m  \u001b[1;36m0.118825\u001b[0m  \u001b[1;36m0.395402\u001b[0m\n",
+       "..   \u001b[33m...\u001b[0m       \u001b[33m...\u001b[0m       \u001b[33m...\u001b[0m\n",
+       "\u001b[1;36m595\u001b[0m  \u001b[1;36m595\u001b[0m  \u001b[1;36m0.378628\u001b[0m  \u001b[1;36m0.445890\u001b[0m\n",
+       "\u001b[1;36m596\u001b[0m  \u001b[1;36m596\u001b[0m  \u001b[1;36m0.190509\u001b[0m  \u001b[1;36m0.402412\u001b[0m\n",
+       "\u001b[1;36m597\u001b[0m  \u001b[1;36m597\u001b[0m  \u001b[1;36m0.034397\u001b[0m \u001b[1;36m-0.105571\u001b[0m\n",
+       "\u001b[1;36m598\u001b[0m  \u001b[1;36m598\u001b[0m  \u001b[1;36m0.174568\u001b[0m  \u001b[1;36m0.090100\u001b[0m\n",
+       "\u001b[1;36m599\u001b[0m  \u001b[1;36m599\u001b[0m  \u001b[1;36m0.379411\u001b[0m  \u001b[1;36m0.461890\u001b[0m\n",
+       "\n",
+       "\u001b[1m[\u001b[0m\u001b[1;36m600\u001b[0m rows x \u001b[1;36m3\u001b[0m columns\u001b[1m]\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Best run: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">232</span> with NSE: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.5042075946097913</span>, with parameters:\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Best run: \u001b[1;36m232\u001b[0m with NSE: \u001b[1;36m0.5042075946097913\u001b[0m, with parameters:\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">[</span>\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Imax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6.488362330365561</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ce'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.4845571293512798</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Sumax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">218.83336737778694</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Beta'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.7699130278847444</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Pmax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.1358146729030282</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Tlag'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5.44235281882723</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Kf'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.04585512368848791</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ks'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.008840391568068273</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'FM'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.8983450417631202</span><span style=\"font-weight: bold\">)</span>\n",
+       "<span style=\"font-weight: bold\">]</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1m[\u001b[0m\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Imax'\u001b[0m, \u001b[1;36m6.488362330365561\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ce'\u001b[0m, \u001b[1;36m0.4845571293512798\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Sumax'\u001b[0m, \u001b[1;36m218.83336737778694\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Beta'\u001b[0m, \u001b[1;36m1.7699130278847444\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Pmax'\u001b[0m, \u001b[1;36m0.1358146729030282\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Tlag'\u001b[0m, \u001b[1;36m5.44235281882723\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Kf'\u001b[0m, \u001b[1;36m0.04585512368848791\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ks'\u001b[0m, \u001b[1;36m0.008840391568068273\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'FM'\u001b[0m, \u001b[1;36m0.8983450417631202\u001b[0m\u001b[1m)\u001b[0m\n",
+       "\u001b[1m]\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Best run: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">451</span> with log_NSE: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.5985790718618934</span>, with parameters:\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Best run: \u001b[1;36m451\u001b[0m with log_NSE: \u001b[1;36m0.5985790718618934\u001b[0m, with parameters:\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">[</span>\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Imax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6.9919295474161505</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ce'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.44128061023639964</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Sumax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">183.49045936834898</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Beta'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.62907119850059</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Pmax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.5726586861631707</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Tlag'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5.2154764587256395</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Kf'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.06546844116401723</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ks'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.0025930490563726475</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'FM'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.1427426360454793</span><span style=\"font-weight: bold\">)</span>\n",
+       "<span style=\"font-weight: bold\">]</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1m[\u001b[0m\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Imax'\u001b[0m, \u001b[1;36m6.9919295474161505\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ce'\u001b[0m, \u001b[1;36m0.44128061023639964\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Sumax'\u001b[0m, \u001b[1;36m183.49045936834898\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Beta'\u001b[0m, \u001b[1;36m1.62907119850059\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Pmax'\u001b[0m, \u001b[1;36m0.5726586861631707\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Tlag'\u001b[0m, \u001b[1;36m5.2154764587256395\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Kf'\u001b[0m, \u001b[1;36m0.06546844116401723\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ks'\u001b[0m, \u001b[1;36m0.0025930490563726475\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'FM'\u001b[0m, \u001b[1;36m1.1427426360454793\u001b[0m\u001b[1m)\u001b[0m\n",
+       "\u001b[1m]\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "results = pd.DataFrame(results)\n",
+    "\n",
+    "print(results[[\"run\", \"NSE\", \"log_NSE\"]])\n",
+    "\n",
+    "# # Best NSE\n",
+    "# best_run_nse = results[\"NSE\"].idxmax()\n",
+    "# best_result_nse = results.loc[best_run_nse]\n",
+    "\n",
+    "# best_parameters_nse = best_result_nse[\"parameters\"]\n",
+    "# best_nse = best_result_nse[\"NSE\"]\n",
+    "\n",
+    "# print(f'Best run: {best_run_nse} with NSE: {best_nse}, with parameters:')\n",
+    "# print(list(zip(parameter_names, best_parameters_nse)))\n",
+    "\n",
+    "# Best log_NSE\n",
+    "best_run_log_nse = results[\"log_NSE\"].idxmax()\n",
+    "best_result_log_nse = results.loc[best_run_log_nse]\n",
+    "\n",
+    "best_parameters_log_nse = best_result_log_nse[\"parameters\"]\n",
+    "best_log_nse = best_result_log_nse[\"log_NSE\"]\n",
+    "\n",
+    "print(f'Best run: {best_run_log_nse} with log_NSE: {best_log_nse}, with parameters:')\n",
+    "print(list(zip(parameter_names, best_parameters_log_nse)))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "bb2f1f27-9a79-41fa-b416-e32bbee15075",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Rank <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>: run <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">451</span> with LNSE: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.5985790718618934</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Rank \u001b[1;36m1\u001b[0m: run \u001b[1;36m451\u001b[0m with LNSE: \u001b[1;36m0.5985790718618934\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">[</span>\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Imax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6.9919295474161505</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ce'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.44128061023639964</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Sumax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">183.49045936834898</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Beta'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.62907119850059</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Pmax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.5726586861631707</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Tlag'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5.2154764587256395</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Kf'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.06546844116401723</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ks'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.0025930490563726475</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'FM'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.1427426360454793</span><span style=\"font-weight: bold\">)</span>\n",
+       "<span style=\"font-weight: bold\">]</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1m[\u001b[0m\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Imax'\u001b[0m, \u001b[1;36m6.9919295474161505\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ce'\u001b[0m, \u001b[1;36m0.44128061023639964\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Sumax'\u001b[0m, \u001b[1;36m183.49045936834898\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Beta'\u001b[0m, \u001b[1;36m1.62907119850059\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Pmax'\u001b[0m, \u001b[1;36m0.5726586861631707\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Tlag'\u001b[0m, \u001b[1;36m5.2154764587256395\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Kf'\u001b[0m, \u001b[1;36m0.06546844116401723\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ks'\u001b[0m, \u001b[1;36m0.0025930490563726475\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'FM'\u001b[0m, \u001b[1;36m1.1427426360454793\u001b[0m\u001b[1m)\u001b[0m\n",
+       "\u001b[1m]\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Rank <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>: run <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">193</span> with LNSE: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.5871245105302814</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Rank \u001b[1;36m2\u001b[0m: run \u001b[1;36m193\u001b[0m with LNSE: \u001b[1;36m0.5871245105302814\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">[</span>\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Imax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5.882658193683639</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ce'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.47241275652770587</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Sumax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">194.30386240959916</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Beta'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.781621276884348</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Pmax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.4608178778064105</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Tlag'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5.215364575839981</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Kf'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.06419932503784231</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ks'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.015979806886031615</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'FM'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.0919722363345776</span><span style=\"font-weight: bold\">)</span>\n",
+       "<span style=\"font-weight: bold\">]</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1m[\u001b[0m\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Imax'\u001b[0m, \u001b[1;36m5.882658193683639\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ce'\u001b[0m, \u001b[1;36m0.47241275652770587\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Sumax'\u001b[0m, \u001b[1;36m194.30386240959916\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Beta'\u001b[0m, \u001b[1;36m1.781621276884348\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Pmax'\u001b[0m, \u001b[1;36m0.4608178778064105\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Tlag'\u001b[0m, \u001b[1;36m5.215364575839981\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Kf'\u001b[0m, \u001b[1;36m0.06419932503784231\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ks'\u001b[0m, \u001b[1;36m0.015979806886031615\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'FM'\u001b[0m, \u001b[1;36m1.0919722363345776\u001b[0m\u001b[1m)\u001b[0m\n",
+       "\u001b[1m]\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Rank <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>: run <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">71</span> with LNSE: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.5802931655594039</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Rank \u001b[1;36m3\u001b[0m: run \u001b[1;36m71\u001b[0m with LNSE: \u001b[1;36m0.5802931655594039\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">[</span>\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Imax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6.279358279165555</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ce'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.45738099679628363</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Sumax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">218.06826364855027</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Beta'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.8389403651683596</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Pmax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.49366891001367486</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Tlag'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6.037707687593043</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Kf'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.07007118899924838</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ks'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.024409700594446738</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'FM'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.2556224532809368</span><span style=\"font-weight: bold\">)</span>\n",
+       "<span style=\"font-weight: bold\">]</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1m[\u001b[0m\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Imax'\u001b[0m, \u001b[1;36m6.279358279165555\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ce'\u001b[0m, \u001b[1;36m0.45738099679628363\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Sumax'\u001b[0m, \u001b[1;36m218.06826364855027\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Beta'\u001b[0m, \u001b[1;36m1.8389403651683596\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Pmax'\u001b[0m, \u001b[1;36m0.49366891001367486\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Tlag'\u001b[0m, \u001b[1;36m6.037707687593043\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Kf'\u001b[0m, \u001b[1;36m0.07007118899924838\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ks'\u001b[0m, \u001b[1;36m0.024409700594446738\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'FM'\u001b[0m, \u001b[1;36m1.2556224532809368\u001b[0m\u001b[1m)\u001b[0m\n",
+       "\u001b[1m]\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Rank <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>: run <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">152</span> with LNSE: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.5697643546613578</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Rank \u001b[1;36m4\u001b[0m: run \u001b[1;36m152\u001b[0m with LNSE: \u001b[1;36m0.5697643546613578\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">[</span>\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Imax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7.301551796430246</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ce'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.49391712556044987</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Sumax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">211.00486173599964</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Beta'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.9612109256650778</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Pmax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.46785716423961</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Tlag'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6.467897643950326</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Kf'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.055226399867357515</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ks'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.03429434734237983</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'FM'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.191697747701756</span><span style=\"font-weight: bold\">)</span>\n",
+       "<span style=\"font-weight: bold\">]</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1m[\u001b[0m\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Imax'\u001b[0m, \u001b[1;36m7.301551796430246\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ce'\u001b[0m, \u001b[1;36m0.49391712556044987\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Sumax'\u001b[0m, \u001b[1;36m211.00486173599964\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Beta'\u001b[0m, \u001b[1;36m1.9612109256650778\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Pmax'\u001b[0m, \u001b[1;36m0.46785716423961\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Tlag'\u001b[0m, \u001b[1;36m6.467897643950326\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Kf'\u001b[0m, \u001b[1;36m0.055226399867357515\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ks'\u001b[0m, \u001b[1;36m0.03429434734237983\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'FM'\u001b[0m, \u001b[1;36m1.191697747701756\u001b[0m\u001b[1m)\u001b[0m\n",
+       "\u001b[1m]\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Rank <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>: run <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">232</span> with LNSE: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.5666729995545778</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Rank \u001b[1;36m5\u001b[0m: run \u001b[1;36m232\u001b[0m with LNSE: \u001b[1;36m0.5666729995545778\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">[</span>\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Imax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6.488362330365561</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ce'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.4845571293512798</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Sumax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">218.83336737778694</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Beta'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.7699130278847444</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Pmax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.1358146729030282</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Tlag'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5.44235281882723</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Kf'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.04585512368848791</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ks'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.008840391568068273</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'FM'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.8983450417631202</span><span style=\"font-weight: bold\">)</span>\n",
+       "<span style=\"font-weight: bold\">]</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1m[\u001b[0m\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Imax'\u001b[0m, \u001b[1;36m6.488362330365561\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ce'\u001b[0m, \u001b[1;36m0.4845571293512798\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Sumax'\u001b[0m, \u001b[1;36m218.83336737778694\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Beta'\u001b[0m, \u001b[1;36m1.7699130278847444\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Pmax'\u001b[0m, \u001b[1;36m0.1358146729030282\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Tlag'\u001b[0m, \u001b[1;36m5.44235281882723\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Kf'\u001b[0m, \u001b[1;36m0.04585512368848791\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ks'\u001b[0m, \u001b[1;36m0.008840391568068273\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'FM'\u001b[0m, \u001b[1;36m0.8983450417631202\u001b[0m\u001b[1m)\u001b[0m\n",
+       "\u001b[1m]\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Get ensemble \n",
+    "\n",
+    "best_5_runs = results[\"log_NSE\"].nlargest(5).index\n",
+    "\n",
+    "best_5_parameters = []\n",
+    "best_5_LNSE = []\n",
+    "\n",
+    "for i in range(len(best_5_runs)):\n",
+    "\n",
+    "    run = best_5_runs[i]\n",
+    "    result = results.loc[run]\n",
+    "\n",
+    "    parameters = result[\"parameters\"]\n",
+    "    lnse = result[\"log_NSE\"]\n",
+    "\n",
+    "    best_5_parameters.append(parameters)\n",
+    "    best_5_LNSE.append(log_nse)\n",
+    "\n",
+    "    print(f\"Rank {i+1}: run {run} with LNSE: {lnse}\")\n",
+    "    print(list(zip(parameter_names, parameters)))\n",
+    "    print()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "127ab139-2d7a-43ad-b012-11188e931c9c",
+   "metadata": {},
+   "source": [
+    "### Plot Observed vs Modelled"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "aeb2ea7e-9826-450f-880e-e1e5e72c9dba",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1400x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Overall Plot\n",
+    "\n",
+    "q_critical = 500\n",
+    "\n",
+    "simulated_calibrated_nse = run_hbv(\n",
+    "    parameters=best_parameters_nse,\n",
+    "    initial_storages=s_0,\n",
+    "    forcing=ERA5_forcing\n",
+    ")\n",
+    "\n",
+    "simulated_calibrated_log_nse = run_hbv(\n",
+    "    parameters=best_parameters_log_nse,\n",
+    "    initial_storages=s_0,\n",
+    "    forcing=ERA5_forcing\n",
+    ")\n",
+    "\n",
+    "# Align dates\n",
+    "simulated_plot_nse = simulated_calibrated_nse\n",
+    "simulated_plot_log_nse = simulated_calibrated_log_nse\n",
+    "observed_plot = observed_output\n",
+    "\n",
+    "simulated_plot_nse.index = pd.to_datetime(simulated_plot_nse.index).tz_localize(None).normalize()\n",
+    "simulated_plot_log_nse.index = pd.to_datetime(simulated_plot_log_nse.index).tz_localize(None).normalize()\n",
+    "observed_plot.index = pd.to_datetime(observed_plot.index).tz_localize(None).normalize()\n",
+    "\n",
+    "# Combine modelled and observed data\n",
+    "plot_data = pd.DataFrame({\n",
+    "    \"Modelled discharge NSE\": simulated_plot_nse,\n",
+    "    \"Modelled discharge log_NSE\": simulated_plot_log_nse,\n",
+    "    \"Observed discharge\": observed_plot\n",
+    "}).dropna()\n",
+    "\n",
+    "# Calculate NSE & log NSE for plotted data\n",
+    "plot_nse = NSE(\n",
+    "    plot_data[\"Modelled discharge NSE\"],\n",
+    "    plot_data[\"Observed discharge\"]\n",
+    ")\n",
+    "\n",
+    "plot_log_nse = log_NSE(\n",
+    "    plot_data[\"Modelled discharge log_NSE\"],\n",
+    "    plot_data[\"Observed discharge\"]\n",
+    ")\n",
+    "\n",
+    "# Plot\n",
+    "plt.figure(figsize=(14, 6))\n",
+    "plt.plot(plot_data.index, plot_data[\"Observed discharge\"], label=\"Observed discharge\")\n",
+    "# plt.plot(plot_data.index, plot_data[\"Modelled discharge NSE\"], label=\"Modelled discharge NSE\")\n",
+    "plt.plot(plot_data.index, plot_data[\"Modelled discharge log_NSE\"], label=\"Modelled discharge log_NSE\")\n",
+    "\n",
+    "plt.xlabel(\"Date\")\n",
+    "plt.ylabel(\"Discharge (m³/s)\")\n",
+    "plt.title(f\"Observed vs modelled discharge at 07DA001, NSE = {best_nse:.3f}, log NSE = {best_log_nse:.3f}\")\n",
+    "plt.axhline(y=q_critical, linestyle=\":\", label=f'Critical discharge ({q_critical} m³/s', color='black')\n",
+    "plt.legend()\n",
+    "plt.grid(True)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "e0743eb6-3efd-435c-866f-d0ea2bddfea8",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1400x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot for 1 year\n",
+    "\n",
+    "selected_year = 2015\n",
+    "\n",
+    "plot_data_year = plot_data[plot_data.index.year == selected_year]\n",
+    "\n",
+    "plt.figure(figsize=(14, 6))\n",
+    "\n",
+    "plt.plot(plot_data_year.index,plot_data_year[\"Observed discharge\"],label=\"Observed discharge\")\n",
+    "# plt.plot(plot_data_year.index,plot_data_year[\"Modelled discharge NSE\"],label=\"Modelled discharge NSE\")\n",
+    "plt.plot(plot_data_year.index,plot_data_year[\"Modelled discharge log_NSE\"],label=\"Modelled discharge log_NSE\", color=\"green\")\n",
+    "\n",
+    "plt.axhline(y=q_critical,linestyle=\":\",color=\"black\",label=f\"Critical discharge ({q_critical} m³/s)\")\n",
+    "\n",
+    "plt.xlabel(\"Date\")\n",
+    "plt.ylabel(\"Discharge (m³/s)\")\n",
+    "plt.title(f\"Observed vs modelled discharge at 07DA001 in {selected_year}\")\n",
+    "plt.legend()\n",
+    "plt.grid(True)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "dde634ea-53bd-4c41-ba13-8ec762014b89",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">RMSE for best NSE parameter set: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">52.403</span> m³/s\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "RMSE for best NSE parameter set: \u001b[1;36m52.403\u001b[0m m³/s\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">RMSE for best log_NSE parameter set: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">64.551</span> m³/s\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "RMSE for best log_NSE parameter set: \u001b[1;36m64.551\u001b[0m m³/s\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Calculate RMSE for best parameter sets NSE and log_NSE\n",
+    "\n",
+    "rmse_nse = RMSE(\n",
+    "    plot_data[\"Modelled discharge NSE\"],\n",
+    "    plot_data[\"Observed discharge\"]\n",
+    ")\n",
+    "\n",
+    "rmse_log_nse = RMSE(\n",
+    "    plot_data[\"Modelled discharge log_NSE\"],\n",
+    "    plot_data[\"Observed discharge\"]\n",
+    ")\n",
+    "\n",
+    "print(f\"RMSE for best NSE parameter set: {rmse_nse:.3f} m³/s\")\n",
+    "print(f\"RMSE for best log_NSE parameter set: {rmse_log_nse:.3f} m³/s\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "db083f00-6ca7-47a1-8792-c46df17f15ed",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/Workyard/Step4_HBV_Validation_Ensemble.ipynb b/Workyard/Step4_HBV_Validation_Ensemble.ipynb
new file mode 100644
index 00000000..72c8021c
--- /dev/null
+++ b/Workyard/Step4_HBV_Validation_Ensemble.ipynb
@@ -0,0 +1,1107 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "9ca8fd44-6292-4af4-9100-d3256fccd960",
+   "metadata": {},
+   "source": [
+    "# Ensemble validation\n",
+    "\n",
+    "The 5 parameter sets calculkated in Calibration_HBV.ipynb will be used for a validation period, in which the log NSE will be calculated, a mean will be calculated and total low flow days during the navigation season.\n",
+    "\n",
+    "The structure of this notebook is as follows:\n",
+    "\n",
+    "### 1. Startup\n",
+    "### 2. Model Setup\n",
+    "### 3. Running model\n",
+    "### 4. LNSE calculation\n",
+    "### 5. Display results\n",
+    "### 6. Lowflow calculation"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "bdb4216e-a341-4c2b-a410-35170773a9a7",
+   "metadata": {},
+   "source": [
+    "## 1. Startup"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "d197b8f0-0f85-4a41-b2fb-1b2a8cf3f9f5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General python\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\", category=UserWarning)\n",
+    "\n",
+    "import numpy as np\n",
+    "from pathlib import Path\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import xarray as xr\n",
+    "\n",
+    "# Niceties\n",
+    "from rich import print"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "dd7b7d3f-1489-4723-bb51-f3cffcb7a85c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General eWaterCycle\n",
+    "import ewatercycle\n",
+    "import ewatercycle.models\n",
+    "import ewatercycle.forcing"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "1c8aee93-b2d6-4291-89ae-1d29e69268cd",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Defining things\n",
+    "\n",
+    "basin_size = 132572\n",
+    "q_critical = 500"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "d7dce039-d1f3-44a0-b646-98c32ecffb28",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Choosing time period\n",
+    "\n",
+    "experiment_start_date = \"2019-01-01T00:00:00Z\"\n",
+    "experiment_end_date = \"2024-12-31T00:00:00Z\"\n",
+    "\n",
+    "validation_start = \"1999-01-01T00:00:00Z\"\n",
+    "validation_end = \"2019-12-31T00:00:00Z\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "d330bf37-7419-4287-81af-3d09e4c7a30e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create pathways for ERA 5 forcings\n",
+    "\n",
+    "forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"ERA5-1999-2019\"\n",
+    "\n",
+    "discharge_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
+    "\n",
+    "shape_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "\n",
+    "hbv_config = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"hbv_config\"\n",
+    "hbv_config.mkdir(parents=True, exist_ok=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "15ea4507-f559-4ef8-9756-60b8502064d7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# # Create pathways for ERA 5 forcings\n",
+    "\n",
+    "# forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"forcings\" / \"ERA5-1999-2019\"\n",
+    "\n",
+    "# discharge_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
+    "\n",
+    "# shape_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "\n",
+    "# hbv_config = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"hbv_config\"\n",
+    "# hbv_config.mkdir(parents=True, exist_ok=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "46ea8b1e-fb73-49ed-855c-4d95cd932748",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load CSV discharge 07DA001\n",
+    "\n",
+    "q_obs = pd.read_csv(discharge_file, skiprows=1)\n",
+    "q_obs = q_obs[[\"Date\", \"Value\"]].copy()\n",
+    "q_obs[\"Date\"] = pd.to_datetime(q_obs[\"Date\"])\n",
+    "q_obs = q_obs.rename(columns={\"Value\": \"discharge_m3s\"})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "8bb224ad-d23c-475f-b6af-4a6023a17044",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Define time period\n",
+    "validation_start_date = pd.to_datetime(validation_start.replace(\"Z\", \"\"))\n",
+    "validation_end_date = pd.to_datetime(validation_end.replace(\"Z\", \"\"))\n",
+    "\n",
+    "# Skip 1 year for filling storages\n",
+    "evaluation_start = pd.to_datetime(f\"{validation_start_date.year + 1}-01-01\")\n",
+    "\n",
+    "# Align q_obs to relevant dates\n",
+    "q_obs = q_obs[(q_obs[\"Date\"] >= validation_start_date) & (q_obs[\"Date\"] <= validation_end_date)]\n",
+    "observed_output = pd.Series(data=q_obs[\"discharge_m3s\"].to_numpy(), name=\"Observed discharge\", index=q_obs[\"Date\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "fc27f6f8-e7ff-4be6-b073-05006d25426a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Date\n",
+       "1999-01-01    104.0\n",
+       "1999-01-02    103.0\n",
+       "1999-01-03    101.0\n",
+       "1999-01-04    103.0\n",
+       "1999-01-05    105.0\n",
+       "Name: Observed discharge, dtype: float64"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "observed_output.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "7f6f57aa-9f39-4524-ba3a-34f55035ebab",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1200x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot q_obs\n",
+    "\n",
+    "plt.figure(figsize=(12, 5))\n",
+    "plt.plot(q_obs[\"Date\"], q_obs[\"discharge_m3s\"])\n",
+    "\n",
+    "plt.xlabel(\"Date\")\n",
+    "plt.ylabel(\"Discharge (m³/s)\")\n",
+    "plt.title(\"Observed daily discharge at 07DA001\")\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a48b5085-6478-4cf2-bd02-75b75f82e90f",
+   "metadata": {},
+   "source": [
+    "### Generate/Load ERA5 data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "77e79b20-3e4d-405a-bd88-16bdc50bdb39",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">LumpedMakkinkForcing</span><span style=\"font-weight: bold\">(</span>\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">start_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'1999-01-01T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">end_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'2019-12-31T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">directory</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1999-2019'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">shape</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">filenames</span>=<span style=\"font-weight: bold\">{</span>\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'evspsblpot'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1999_2019_evspsblpot.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'pr'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1999_2019_pr.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'rsds'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1999_2019_rsds.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'tas'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1999_2019_tas.nc'</span>\n",
+       "    <span style=\"font-weight: bold\">}</span>\n",
+       "<span style=\"font-weight: bold\">)</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1;35mLumpedMakkinkForcing\u001b[0m\u001b[1m(\u001b[0m\n",
+       "    \u001b[33mstart_time\u001b[0m=\u001b[32m'1999-01-01T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mend_time\u001b[0m=\u001b[32m'2019-12-31T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mdirectory\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1999-2019'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mshape\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mfilenames\u001b[0m=\u001b[1m{\u001b[0m\n",
+       "        \u001b[32m'evspsblpot'\u001b[0m: \u001b[32m'combined_ERA5_1999_2019_evspsblpot.nc'\u001b[0m,\n",
+       "        \u001b[32m'pr'\u001b[0m: \u001b[32m'combined_ERA5_1999_2019_pr.nc'\u001b[0m,\n",
+       "        \u001b[32m'rsds'\u001b[0m: \u001b[32m'combined_ERA5_1999_2019_rsds.nc'\u001b[0m,\n",
+       "        \u001b[32m'tas'\u001b[0m: \u001b[32m'combined_ERA5_1999_2019_tas.nc'\u001b[0m\n",
+       "    \u001b[1m}\u001b[0m\n",
+       "\u001b[1m)\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Generate ERA5 data\n",
+    "# ERA5_forcing = ewatercycle.forcing.sources['LumpedMakkinkForcing'].generate(\n",
+    "#     dataset=\"ERA5\",\n",
+    "#     start_time=experiment_start_date,\n",
+    "#     end_time=experiment_end_date,\n",
+    "#     shape=shape_file,\n",
+    "# )\n",
+    "\n",
+    "# Load data\n",
+    "\n",
+    "ERA5_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=forcing_path_ERA5)\n",
+    "\n",
+    "print(ERA5_forcing)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "09f9dfb3-40c9-4689-98b8-fd1ea8fd72d1",
+   "metadata": {},
+   "source": [
+    "### Load parameter sets & initial storages"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "ca2be146-1112-4806-a44f-d57ebd4442c9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load calibration constants\n",
+    "\n",
+    "# par_0 = [4.45787, 0.42307, 201.57602, 2.36497, 0.26755, 8.62964, 0.083568, 0.0037073, 0.29645]\n",
+    "# par_0 = [2.79874, 0.49211, 255.96478, 1.782968, 0.503199, 6.095956, 0.33279, 0.10539, 0.63857]\n",
+    "# par_0 = [6.279135, 0.4808243, 174.127749, 1.9527195, 0.3305087, 6.19919, 0.0768362, 0.004366398, 0.4076606]         # 0.725 val, 0.x cal - Fav run 2\n",
+    "# par_0 = [6.28908, 0.423917, 173.56627, 1.63144, 0.402586, 6.56151, 0.0456809, 0.00313744, 0.516696]                 # 0.702 val, 0.x cal\n",
+    "# par_0 = [6.4919, 0.386877, 221.78625, 1.388269, 0.276453, 4.9870704, 0.04126777, 0.05640195, 1.148877]              # 0.668 val, 0.x cal\n",
+    "# par_0 = [7.502398, 0.38028, 194.1899, 1.680197, 0.47956, 4.8566806, 0.041745354, 0.02833896, 1.051862]              # 0.677 val, 0.x cal\n",
+    "# par_0 = [5.5464, 0.46496, 187.8548, 1.82803, 0.440628, 6.29496, 0.062766, 0.033095, 0.80392]                        # 0.781 val, 0.776 cal\n",
+    "# par_0 = [6.16512, 0.4369419, 151.2515900, 1.727835, 0.3771705, 6.19265974, 0.06959136, 0.001310818, 0.8130732]      # 0.664 val, 0.791 cal\n",
+    "# par_0 = [5.7107, 0.441634, 172.81305, 1.87367, 0.588802, 5.498147, 0.060305, 0.019666, 1.2011814]                    # x val, 0.73 cal         Start of 5+ months exclusion\n",
+    "# par_0 = [7.35776, 0.432509, 192.67085, 1.66088, 0.289296, 5.323766, 0.037268, 0.004399, 1.146504]                    # 0.82 val, 0.818 cal - Fav run 1      \n",
+    "# par_0 = [7.23868, 0.47495, 181.82012, 1.8232, 0.4884032, 5.546412, 0.0449439, 0.00231717, 1.25052]                    #  val,  0.77 cal    \n",
+    "# par_0 = [7.9355, 0.4593, 219.6962, 1.72624, 0.26391, 5.810765, 0.04804, 0.0155065, 0.76857]                           # 0.78 val, 0.71 cal - potential inclusion\n",
+    "\n",
+    "par_ensemble = [\n",
+    "    [6.279135, 0.4808243, 174.127749, 1.9527195, 0.3305087, 6.19919, 0.0768362, 0.004366398, 0.4076606],\n",
+    "    [7.35776, 0.432509, 192.67085, 1.66088, 0.289296, 5.323766, 0.037268, 0.004399, 1.146504],\n",
+    "    [7.9355, 0.4593, 219.6962, 1.72624, 0.26391, 5.810765, 0.04804, 0.0155065, 0.76857],\n",
+    "    [5.5464, 0.46496, 187.8548, 1.82803, 0.440628, 6.29496, 0.062766, 0.033095, 0.80392],\n",
+    "   [7.23868, 0.47495, 181.82012, 1.8232, 0.4884032, 5.546412, 0.0449439, 0.00231717, 1.25052]\n",
+    "]\n",
+    "\n",
+    "\n",
+    "par_names = [\"Imax\",         # Maximum interception storage\n",
+    "               \"Ce\",         # Evaporation correction factor\n",
+    "               \"Sumax\",      # Maximum soil moisture storage\n",
+    "               \"Beta\",       # Soil runoff parameter\n",
+    "               \"Pmax\",       # Maximum percolation rate\n",
+    "               \"Tlag\",       # Time lag\n",
+    "               \"Kf\",         # Fast reservoir recession coefficient\n",
+    "               \"Ks\",         # Slow reservoir recession coefficient\n",
+    "               \"FM\"          # Snowmelt factor\n",
+    "               ]\n",
+    "\n",
+    "# Initial: par_0 = [5.085, 0.55, 100.373, 1.612, 0.545, 3.801, 0.196, 0.00, 0.185]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "d5e5bcb4-bf90-470b-90ed-4a0b9d80c35d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Storages\n",
+    "\n",
+    "#               Si,  Su, Sf, Ss, Sp\n",
+    "s_0 = np.array([0,  100,  0,  5,  0])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "06c977b4-ba9d-4e82-8415-42180eac9f01",
+   "metadata": {},
+   "source": [
+    "## 2. Model setup"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "055bdbc8-af1f-41ac-ad1d-b4da4d6785f6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def run_hbv(parameters, initial_storages, forcing):\n",
+    "\n",
+    "    # Creating model object\n",
+    "    model = ewatercycle.models.HBV(forcing=forcing)\n",
+    "\n",
+    "    # Creating config file\n",
+    "    config_file, _ = model.setup(\n",
+    "        parameters=parameters,\n",
+    "        initial_storages=initial_storages,\n",
+    "        cfg_dir=hbv_config\n",
+    "    )\n",
+    "\n",
+    "    # Initialising model\n",
+    "    model.initialize(config_file)\n",
+    "\n",
+    "    # Define & update outputs\n",
+    "    Q_m = []\n",
+    "    time = []\n",
+    "\n",
+    "    while model.time < model.end_time:\n",
+    "        model.update()\n",
+    "        Q_m.append(model.get_value(\"Q\")[0])\n",
+    "        time.append(pd.Timestamp(model.time_as_datetime))\n",
+    "\n",
+    "    model.finalize()\n",
+    "\n",
+    "    # Convert mm/day to m3/s\n",
+    "    model_output_mmday = pd.Series(\n",
+    "        data=Q_m,\n",
+    "        index=time,\n",
+    "        name=\"Modelled discharge\"\n",
+    "    )\n",
+    "\n",
+    "    model_output_m3s = model_output_mmday * basin_size * 1000 / 86400\n",
+    "\n",
+    "    return model_output_m3s"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "650daf1f-e90f-4b5b-aac5-eca8965de7cf",
+   "metadata": {},
+   "source": [
+    "## 3. Running model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "44092959-524a-4330-a274-77cfad0eacd6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def run_hbv_ensemble(par_ensemble, initial_storages, forcing):\n",
+    "\n",
+    "    # Define amount of parameter sets\n",
+    "    N = len(par_ensemble)\n",
+    "    \n",
+    "    # Create dataframe to append data to & add column for observed data\n",
+    "    ensemble_data = pd.DataFrame()\n",
+    "\n",
+    "    for i in range(N):\n",
+    "\n",
+    "        print(f\"Running parameter set {i+1}/{N}\")\n",
+    "\n",
+    "        # Run HBV model for the parameter sets \n",
+    "        simulated = run_hbv(\n",
+    "            parameters=par_ensemble[i],\n",
+    "            initial_storages=initial_storages,\n",
+    "            forcing=forcing\n",
+    "        )\n",
+    "\n",
+    "        # Filter data by day only, not by day & time to prevent alignment issues\n",
+    "        simulated_daily = simulated\n",
+    "\n",
+    "        simulated_daily.index = pd.to_datetime(simulated_daily.index).tz_localize(None).normalize()\n",
+    "        simulated_daily.name = f\"Set {i+1}\"\n",
+    "         \n",
+    "        # Append new column for every parameter set results\n",
+    "        ensemble_data[f\"Set {i+1}\"] = simulated\n",
+    "\n",
+    "    # Filter observed data by day\n",
+    "    observed_daily = observed_output\n",
+    "    observed_daily.index = pd.to_datetime(observed_daily.index).tz_localize(None).normalize()\n",
+    "\n",
+    "    # Add mean of all sets\n",
+    "    ensemble_data[\"Mean\"] = ensemble_data.mean(axis=1)\n",
+    "    ensemble_data['Observed discharge'] = observed_daily\n",
+    "\n",
+    "    return ensemble_data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "079368de-30cf-491f-8cc9-2021f6a4bfa6",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m1\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m2\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m3\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m4\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m5\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Set 1</th>\n",
+       "      <th>Set 2</th>\n",
+       "      <th>Set 3</th>\n",
+       "      <th>Set 4</th>\n",
+       "      <th>Set 5</th>\n",
+       "      <th>Mean</th>\n",
+       "      <th>Observed discharge</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1999-01-02</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>103.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1999-01-03</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>101.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1999-01-04</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>103.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1999-01-05</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>105.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1999-01-06</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>108.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            Set 1  Set 2  Set 3  Set 4  Set 5  Mean  Observed discharge\n",
+       "1999-01-02    0.0    0.0    0.0    0.0    0.0   0.0               103.0\n",
+       "1999-01-03    0.0    0.0    0.0    0.0    0.0   0.0               101.0\n",
+       "1999-01-04    0.0    0.0    0.0    0.0    0.0   0.0               103.0\n",
+       "1999-01-05    0.0    0.0    0.0    0.0    0.0   0.0               105.0\n",
+       "1999-01-06    0.0    0.0    0.0    0.0    0.0   0.0               108.0"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ensemble_data = run_hbv_ensemble(\n",
+    "    par_ensemble=par_ensemble,\n",
+    "    initial_storages=s_0,\n",
+    "    forcing=ERA5_forcing\n",
+    ")\n",
+    "\n",
+    "ensemble_data.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "96d6162f-f432-4dfc-9194-f522a2e6a6da",
+   "metadata": {},
+   "source": [
+    "## 4. LNSE Calculation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "37567a9e-dff3-4c80-84e0-572a6ed72b68",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Calculate log NSE\n",
+    "\n",
+    "def LNSE(sim, obs):\n",
+    "    \n",
+    "    sim = sim.to_numpy()\n",
+    "    obs = obs.to_numpy()\n",
+    "\n",
+    "    # Avoid log(0)\n",
+    "    eps = 0.00000000001\n",
+    "\n",
+    "    log_sim = np.log(sim + eps)\n",
+    "    log_obs = np.log(obs + eps)\n",
+    "\n",
+    "    return 1 - np.sum((log_obs - log_sim) ** 2) / np.sum((log_obs - np.mean(log_obs)) ** 2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "dc7850a4-dc30-4aa7-8719-4f810760c320",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Call log NSE for relevant timeperiod\n",
+    "\n",
+    "def lnse_ensemble(ensemble_data, lnse_start, lnse_end):\n",
+    "\n",
+    "    # Select evaluation period - skip first year for storages to fill\n",
+    "    combined_data = ensemble_data[\n",
+    "        (ensemble_data.index >= lnse_start) &\n",
+    "        (ensemble_data.index <= lnse_end)\n",
+    "    ].dropna()\n",
+    "\n",
+    "    # Exclude winter months\n",
+    "    combined_data = combined_data[\n",
+    "        ~combined_data.index.month.isin([12, 1, 2, 3, 4])\n",
+    "    ]\n",
+    "\n",
+    "    lnse_results = []\n",
+    "\n",
+    "    # Calculate LNSE for all sets\n",
+    "    for i in range(len(par_ensemble)):\n",
+    "        lnse_value = LNSE(\n",
+    "            combined_data[f\"Set {i+1}\"],\n",
+    "            combined_data[\"Observed discharge\"]\n",
+    "        )\n",
+    "\n",
+    "        # Append LNSE\n",
+    "        lnse_results.append({\n",
+    "            \"Set\": f\"Set {i+1}\",\n",
+    "            \"LNSE\": lnse_value\n",
+    "        })\n",
+    "\n",
+    "    # Calculate LNSE of ensemble mean\n",
+    "    mean_lnse = LNSE(\n",
+    "        combined_data[\"Mean\"],\n",
+    "        combined_data[\"Observed discharge\"]\n",
+    "    )\n",
+    "\n",
+    "    # Append LNSE\n",
+    "    lnse_results.append({\n",
+    "        \"Set\": \"Ensemble mean\",\n",
+    "        \"LNSE\": mean_lnse\n",
+    "    })\n",
+    "\n",
+    "    lnse_results = pd.DataFrame(lnse_results)\n",
+    "\n",
+    "    return lnse_results"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "80962ebd-6ad7-48ce-b378-acd68ed03a1e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Set</th>\n",
+       "      <th>LNSE</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Set 1</td>\n",
+       "      <td>0.644561</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Set 2</td>\n",
+       "      <td>0.716547</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Set 3</td>\n",
+       "      <td>0.708634</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Set 4</td>\n",
+       "      <td>0.661621</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Set 5</td>\n",
+       "      <td>0.677477</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>Ensemble mean</td>\n",
+       "      <td>0.739374</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "             Set      LNSE\n",
+       "0          Set 1  0.644561\n",
+       "1          Set 2  0.716547\n",
+       "2          Set 3  0.708634\n",
+       "3          Set 4  0.661621\n",
+       "4          Set 5  0.677477\n",
+       "5  Ensemble mean  0.739374"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "lnse_results = lnse_ensemble(\n",
+    "    ensemble_data=ensemble_data,\n",
+    "    lnse_start=evaluation_start,\n",
+    "    lnse_end=validation_end_date\n",
+    ")\n",
+    "\n",
+    "lnse_results"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d9b6a719-39c6-4872-87ff-cdb65d853e42",
+   "metadata": {},
+   "source": [
+    "## 5. Display results"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "f519854a-a994-44fd-a428-4d0c6daa98e1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def plot_ensemble(ensemble_data, plot_start, plot_end):\n",
+    "\n",
+    "    plot_start = pd.to_datetime(plot_start)\n",
+    "    plot_end = pd.to_datetime(plot_end)\n",
+    "\n",
+    "    # Filter data to start & end time\n",
+    "    plot_data = ensemble_data[\n",
+    "        (ensemble_data.index >= plot_start) &\n",
+    "        (ensemble_data.index <= plot_end)\n",
+    "    ].dropna()\n",
+    "\n",
+    "    # Define figure\n",
+    "    plt.figure()\n",
+    "    plt.figure(figsize=(20, 8))\n",
+    "\n",
+    "    # Plot sets, observed data, ensemble mean and axhline, respectively\n",
+    "    for i in range(len(par_ensemble)):\n",
+    "        plt.plot(plot_data.index, plot_data[f\"Set {i+1}\"], color=\"orange\", alpha=0.3, label=\"Parameter sets\" if i == 0 else None)\n",
+    "\n",
+    "    plt.plot(plot_data.index, plot_data[\"Observed discharge\"], label=\"Observed discharge\", linewidth=3)\n",
+    "    plt.plot(plot_data.index, plot_data[\"Mean\"], label=\"Ensemble mean\", linewidth=3)\n",
+    "    plt.axhline(y=q_critical, linestyle=\":\", color=\"black\", label=f\"Critical discharge ({q_critical} m³/s)\")\n",
+    "\n",
+    "    # Extras\n",
+    "    plt.xlabel(\"Date\")\n",
+    "    plt.ylabel(\"Discharge (m³/s)\")\n",
+    "    plt.title(\"Observed vs modelled ensemble discharge at 07DA001\")\n",
+    "    plt.legend()\n",
+    "    plt.grid(True)\n",
+    "\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "f1bb58f8-3dee-43eb-abc8-4af333b5d064",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 640x480 with 0 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 2000x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot for full evaluation period\n",
+    "\n",
+    "plot_ensemble(\n",
+    "    ensemble_data=ensemble_data,\n",
+    "    plot_start=evaluation_start,\n",
+    "    plot_end=validation_end_date\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "b835010a-b272-46b7-9c20-b0db1a99506b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 640x480 with 0 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAABmIAAAK7CAYAAADhvpCDAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8fJSN1AAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOzdeZyN9f//8eeZ5cy+GIMZ+74UI3soS5ZBtoRCIsInVIqSQpRo0YdS0a8sFVKKkg8TKlLI1kQSKmOJsc8wY5YzM9fvj/nOyXXODDPMdvS4325zM9d13td1va7rnGvMnNd5vd4WwzAMAQAAAAAAAAAAIN+5FXUAAAAAAAAAAAAANysSMQAAAAAAAAAAAAWERAwAAAAAAAAAAEABIREDAAAAAAAAAABQQEjEAAAAAAAAAAAAFBASMQAAAAAAAAAAAAWERAwAAAAAAAAAAEABIREDAAAAAAAAAABQQEjEAAAAAAAAAAAAFBASMQAAAC5g27Zt6tOnj8LDw2W1WhUWFqbevXtr69atTmOnTJkii8Wis2fPFkGkRaty5coaPHhwUYdR5G7kOlgsFk2ZMsW+vHHjRlksFm3cuDFfYpOkRYsWyWKxKCYmJt/26YoGDx4sf3//XI0trNd2mzZt1KZNG/tyTEyMLBaLFi1alO/Hysv534ymT5+uL774Ik/bLFu2TLfddpu8vb1VtmxZjRkzRgkJCaYxgwcPlsViyfFr27Zt9rFt2rSxr3dzc1NAQICqV6+uPn366LPPPlNGRkaOsezdu1cWi0Wenp46efJkjuN2796t9u3by9/fX8HBwerVq5f++uuvbMfOmTNHtWvXlpeXl6pUqaKpU6fKZrOZxhw/flxjxoxR69atFRwcXGCvTwAAgPxEIgYAAKCYmzNnjlq2bKnjx4/r1Vdf1YYNGzRz5kz9/fffuuOOO/TWW28VdYgAblLh4eHaunWr7r777qIO5aaT10TMkiVL1K9fPzVp0kRr167V888/r0WLFqlXr16mcZMmTdLWrVudvkJDQ1WuXDk1adLENL5q1araunWrtmzZoi+++ELPPPOMkpKS1KdPH7Vp00bx8fHZxvP+++9LktLS0vThhx9mO+b3339XmzZtlJqaqk8//VQLFizQwYMHdeedd+rMmTOmsS+99JIef/xx9erVS19//bVGjhyp6dOna9SoUaZxf/zxh5YsWSKr1aouXbrk+voBAAAUJY+iDgAAAAA5+/HHHzVmzBh16dJFK1eulIfHP7++3X///brnnnv0+OOPq0GDBmrZsmURRpq9pKQk+fj4FHUYAK6Tl5eXbr/99qIO44bcDD+H0tPT9dRTT6ljx4567733JElt27ZVQECABgwYoLVr16pz586SpGrVqqlatWqm7Tdt2qSzZ89q4sSJcnd3Nz3m4+Pj9Bw//PDDWrhwoYYMGaLhw4frk08+MT2ekpKiJUuWqH79+jp79qwWLFig8ePHO8U9efJkeXl5afXq1QoMDJQkNWrUSDVq1NDMmTP1yiuvSJLOnTunadOmadiwYZo+fbqkzGodm82miRMnasyYMbrlllskSa1atbIncXbu3KmPP/447xcUAACgkFERAwAAUIzNmDFDFotFc+fONSVhJMnDw0PvvPOOLBaLXn75Zadtjx07pl69eikwMFBBQUF64IEHnD6B/O2336pNmzYqWbKkfHx8VLFiRd177726fPmyfUxqaqqmTZtmbxdTqlQpPfTQQ077qly5srp27aoVK1aoQYMG8vb21tSpU9WgQQPdeeedTvGlp6erXLlypk9z5/ZYNptNTz/9tMLCwuTr66s77rhD27dvv+b1tNlsKl26tAYOHOj0WFxcnHx8fPTkk09KkjIyMjRt2jTVqlVLPj4+Cg4OVkREhN54442rHiOrldfSpUs1fvx4hYeHy9/fX926ddOpU6d06dIlDR8+XKGhoQoNDdVDDz3k1FooOTlZEyZMUJUqVWS1WlWuXDmNGjVKcXFx130dYmNjNWLECJUvX15Wq9Xe9ictLe2a1y07O3fuVPfu3RUSEiJvb281aNBAn376qdO4bdu2qWXLlvZWShMmTHBqNXSjx8lqdfbdd9/pkUceUWhoqEqWLKlevXrpxIkTprEF8ZpfvXq1GjRoIB8fH9WpU0erV6+2x1WnTh35+fmpadOm2rlzZ7bnuG/fPrVr105+fn4qVaqURo8ebYonJxcvXtS4ceNMr5MxY8YoMTHxmtsahqFXX31VlSpVkre3txo2bKi1a9c6jcuuNdmZM2c0fPhwVahQwX59WrZsqQ0bNpi2jYqKUrt27RQUFCRfX1/VqVNHM2bMcDrGH3/8oS5dusjf318VKlTQ2LFjlZKSYhozdepUNWvWTCEhIQoMDFTDhg01f/58GYZhGpfTzyEp8zp37NhRvr6+KlWqlEaNGqX//e9/2bbe27Bhg9q1a6fAwED5+vqqZcuW+uabb655XZOTkzV27FjddtttCgoKUkhIiJo3b64vv/zSNM5isSgxMVEffPCBvTXYlS3hHG3btk0nT57UQw89ZFrfp08f+fv7a+XKlVeNa/78+bJYLBoyZMg1zyHLQw89pC5dumj58uU6cuSI6bEvvvhC586d08MPP6xBgwbp4MGD+uGHH0xj0tLStHr1at177732JIwkVapUSW3btjXFHBUVpeTkZKfze+ihh2QYhqlyyM2NtzEAAIDroSIGAACgmEpPT9d3332nxo0bq3z58tmOqVChgho1aqRvv/1W6enppk8633PPPerbt6/+85//aN++fZo0aZJ+++03/fTTT/L09FRMTIzuvvtu3XnnnVqwYIGCg4P1999/KyoqSqmpqfL19VVGRoZ69OihzZs36+mnn1aLFi105MgRPf/882rTpo127txp+qT57t27tX//fk2cOFFVqlSRn5+fypYtq8cff1yHDh1SjRo17GPXrVunEydO2N94y8uxhg0bpg8//FDjxo1Thw4d9Ouvv6pXr166dOnSVa+pp6enHnjgAc2bN09vv/226c3Bjz/+2PRG4KuvvqopU6Zo4sSJatWqlWw2m37//XenZEhOnn32WbVt21aLFi1STEyMxo0bp379+snDw0P169fXxx9/rJ9//lnPPvusAgIC9Oabb0rKfIO8Z8+e+uabbzRhwgTdeeed2rNnj55//nl7iyEvL688XYfY2Fg1bdpUbm5umjx5sqpVq6atW7dq2rRpiomJ0cKFC3N1Tlm+++47derUSc2aNdO8efMUFBSkZcuW6b777tPly5ftc5n89ttvateunSpXrqxFixbJ19dX77zzjpYuXZqvx8ny8MMP6+6779bSpUt17NgxPfXUU3rggQf07bffSlKBvOZ/+eUXTZgwQc8995yCgoI0depU9erVSxMmTNA333yj6dOny2KxaPz48eratasOHz5s2t5ms6lLly4aMWKEnnnmGW3ZskXTpk3TkSNH9NVXX+V4bS5fvqzWrVvr+PHjevbZZxUREaF9+/Zp8uTJ2rt3rzZs2CCLxZLj9lOnTtXUqVM1dOhQ9e7dW8eOHdOwYcOUnp6uWrVqXfV5GThwoHbv3q2XXnpJNWvWVFxcnHbv3q1z587Zx8yfP1/Dhg1T69atNW/ePJUuXVoHDx7Ur7/+atqXzWZT9+7dNXToUI0dO1bff/+9XnzxRQUFBWny5Mn2cTExMRoxYoQqVqwoKTMx8eijj+rvv/82jZOy/zl08uRJtW7dWn5+fpo7d65Kly6tjz/+WKNHj3Y6v8WLF+vBBx9Ujx499MEHH8jT01PvvvuuIiMj9fXXX6tdu3Y5XpuUlBSdP39e48aNU7ly5ZSamqoNGzaoV69eWrhwoR588EFJ0tatW3XXXXepbdu2mjRpkiSZfh45yrpuERERpvWenp6qXbu203W9Unx8vD777DO1a9dOVapUyXFcdrp37641a9Zo8+bNqlSpkn39/Pnz5eXlpQEDBuj8+fOaMWOG5s+frzvuuMM+5s8//1RSUpJTzFnnsX79eiUnJ8vb29sef7169UzjwsPDFRoaetXzAwAAcAkGAAAAiqXY2FhDknH//fdfddx9991nSDJOnTplGIZhPP/884Yk44knnjCNW7JkiSHJWLx4sWEYhvHZZ58Zkozo6Ogc9/3xxx8bkozPP//ctH7Hjh2GJOOdd96xr6tUqZLh7u5uHDhwwDT27NmzhtVqNZ599lnT+r59+xplypQxbDZbno61f//+q57foEGDcjwfwzCMPXv2GJKM//f//p9pfdOmTY1GjRrZl7t27WrcdtttV91Xdr777jtDktGtWzfT+jFjxhiSjMcee8y0vmfPnkZISIh9OSoqypBkvPrqq6Zxn3zyiSnuvFyHESNGGP7+/saRI0dMY2fOnGlIMvbt22dfJ8l4/vnnnc7nu+++s6+rXbu20aBBA/tzl6Vr165GeHi4kZ6ebhhG5mvTx8fHiI2NtY9JS0szateubUgyDh8+bFxNbo+zcOFCQ5IxcuRI07hXX33VkGScPHnSMIyCec37+PgYx48ft6+Ljo42JBnh4eFGYmKiff0XX3xhSDJWrVplXzdo0CBDkvHGG2+YjvXSSy8ZkowffvjBdKwrn9MZM2YYbm5uxo4dO0zbZp3jmjVrcjzHCxcuGN7e3sY999xjWv/jjz8akozWrVvb1x0+fNiQZCxcuNC+zt/f3xgzZkyO+7906ZIRGBho3HHHHUZGRkaO47LO/9NPPzWt79Kli1GrVq0ct0tPTzdsNpvxwgsvGCVLljQdI6efQ0899ZRhsVhMr3XDMIzIyEjT6zsxMdEICQlxun/T09ON+vXrG02bNs0xruykpaUZNpvNGDp0qNGgQQPTY35+ftf8eZUl6zWR9Vq+UseOHY2aNWvmuO3cuXMNScbHH3/s9Fjr1q2NW2+9Ncdt165da0gyXnnlFfu6mJgYw83NzfR/U+vWrQ0/Pz/j4sWL9nVZr6fsjjt9+nRDknHixAnDMAxj2LBhhpeXV7Yx1KxZ0+jYsWO2j2Xdl1e+PgEAAIojanoBAABcnPF/rXkcP/0+YMAA03Lfvn3l4eGh7777TpJ02223yWq1avjw4frggw/0119/Oe179erVCg4OVrdu3ZSWlmb/uu222xQWFubUziciIkI1a9Y0rStZsqS6deumDz74QBkZGZKkCxcu6Msvv9SDDz5ob7mW22NlxZ/T+V1LvXr11KhRI1MVyP79+7V9+3ZT256mTZvql19+0ciRI/X111/r4sWL19z3lbp27WparlOnjiQ5TXpep04dnT9/3t6eLKt6w7Hao0+fPvLz87O3R8rLdVi9erXatm2rsmXLmq5t1pwSmzZtyvV5/fHHH/r999/tx71yf126dNHJkyd14MABe4zt2rVTmTJl7Nu7u7vrvvvuy9fjZOnevbtpOeuT+FltlQriNX/bbbepXLly9uWs57lNmzby9fV1Wu/Y4klyfg779+8v6Z/nODurV69W3bp1ddttt5nijIyMzLbV1pW2bt2q5ORkp+O2aNHCVPWQk6ZNm2rRokWaNm2atm3b5tRqbsuWLbp48aJGjhx51aocKfPnVrdu3UzrIiIinK7Tt99+q/bt2ysoKEju7u7y9PTU5MmTde7cOZ0+fdppe8efQ5s2bVLdunXt84xk6devn1Ps58+f16BBg0zXNSMjQ506ddKOHTuu2fpt+fLlatmypfz9/eXh4SFPT0/Nnz9f+/fvv+p2uZHT9bzadZ4/f75Kliype+65J8/HMxxav0nSwoULlZGRYfp5OWTIECUmJjrNJXOt2K58LLfjAAAAXBGJGAAAgGIqNDRUvr6+Onz48FXHxcTEyNfXVyEhIab1YWFhpmUPDw+VLFnS3j6oWrVq2rBhg0qXLq1Ro0bZJ3i+cg6UU6dOKS4uTlarVZ6enqav2NhYnT171nSM8PDwbGMcMmSI/v77b61fv15SZhuwlJQUU7Iht8fKij+n88uNIUOGaOvWrfr9998lZb6x6OXlZXpTdsKECZo5c6a2bdumzp07q2TJkmrXrl2O83w4cnw+rFbrVdcnJyfbz8/Dw0OlSpUyjbNYLAoLC7Off16uw6lTp/TVV185Xddbb71Vkpyex6s5deqUJGncuHFO+xs5cqRpf+fOnXOKL7uYb/Q4WRzPO6uFW1JSkqSCec1f7/OcJbvnK+v6XNnqK7vrs2fPHqcYAwICZBjGVZ/TnF47Oa1z9Mknn2jQoEF6//331bx5c4WEhOjBBx9UbGysJNnn0smppeKVfH195e3tbVrn5eVluk7bt29Xx44dJUnvvfeefvzxR+3YsUPPPfecpH+e3yzZ/Rw6d+6cKSGYxXFd1uuud+/eTtf2lVdekWEYOn/+fI7ns2LFCvXt21flypXT4sWLtXXrVu3YsUNDhgxxeu7zIus1kt1r4vz5806vtyx79uzRzp079cADD9jvh7zISoiVLVtWUmYLyUWLFqls2bJq1KiR4uLiFBcXp/bt28vPz0/z58/PdcwWi0XBwcH2scnJydnOjXS18wMAAHAVzBEDAABQTLm7u6tt27aKiorS8ePHs31T8/jx49q1a5c6d+5smh9GypwX5MpP6qelpencuXOmN33vvPNO3XnnnUpPT9fOnTs1Z84cjRkzRmXKlNH9999vn/Q8Kioq2xgDAgJMyzl9ajkyMlJly5bVwoULFRkZqYULF6pZs2amT6fn9lhZ8ed0frnRr18/Pfnkk1q0aJFeeuklffTRR+rZs6dKlChhH+Ph4aEnn3xSTz75pOLi4rRhwwY9++yzioyM1LFjx0zVDvmpZMmSSktL05kzZ0zJGMMwFBsbqyZNmtjHSbm7DqGhoYqIiNBLL72U7TGz3mTNjdDQUEmZiapevXplOyZrjpGSJUva35y/UnbrbuQ4eZHfr/kbld19mXV9rpZYDA0NlY+PjxYsWJDj4zm58rXjKDY2VpUrV75qzKGhoZo9e7Zmz56to0ePatWqVXrmmWd0+vRpRUVF2V+3x48fv+p+cmvZsmXy9PTU6tWrTUmbKydwv1J2P4dKlixpT7JcyfEaZF23OXPm6Pbbb892/9kldLIsXrxYVapU0SeffGKKIyUlJcdtciNr7pS9e/eafm6mpaXp999/d6rsyZKVGHn44Yev67irVq2SxWJRq1atJEkbNmywJ2eye31u27ZNv/32m2655RZVq1ZNPj4+2rt3r9O4vXv3qnr16vbn88rza9asmX1cVvKzbt261xU/AABAcUEiBgAAoBibMGGC1q5dq5EjR2rlypWmZEt6eroeeeQRGYahCRMmOG27ZMkSNWrUyL786aefKi0tTW3atHEa6+7urmbNmql27dpasmSJdu/erfvvv19du3bVsmXLlJ6ebnpzLK/c3d01cOBAzZ49W5s3b9bOnTv17rvvmsbk9lhZ8ed0frlRokQJ9ezZUx9++KGaN2+u2NhYU5sdR8HBwerdu7f+/vtvjRkzRjExMU4tjvJLu3bt9Oqrr2rx4sV64okn7Os///xzJSYm2icKz8t16Nq1q9asWaNq1aqZkk3Xo1atWqpRo4Z++eUXTZ8+/apj27Ztq1WrVunUqVP2N6/T09OzbV90I8e5HgX9ms+LJUuW6LHHHrMvL126VJKyvVezdO3aVdOnT1fJkiXzPAH77bffLm9vby1ZskT33nuvff2WLVt05MiRayZirlSxYkWNHj1a33zzjX788UdJmS3OgoKCNG/ePN1///033FbKYrHIw8PD9PMvKSlJH330Ua730bp1a82cOdOeJMiybNky07iWLVsqODhYv/32m0aPHn1dsVqtVtM5x8bG6ssvv3Qa6+Xl5VTNk5NmzZopPDxcixYtMrX2++yzz5SQkJBtsjIlJUWLFy9W06ZNryuRsXDhQq1du1b9+/dXxYoVJWUmdtzc3LRixQoFBQWZxh8/flwDBw7UggULNHPmTHl4eKhbt25asWKFXn31VXsS8+jRo/ruu+9MP986deokb29vLVq0yHTfLVq0SBaLRT179sxz/AAAAMUJiRgAAIBirGXLlpo9e7bGjBmjO+64Q6NHj1bFihV19OhRvf322/rpp580e/ZstWjRwmnbFStWyMPDQx06dNC+ffs0adIk1a9fX3379pUkzZs3T99++63uvvtuVaxYUcnJyfZP17dv316SdP/992vJkiXq0qWLHn/8cTVt2lSenp46fvy4vvvuO/Xo0SPX8w4MGTJEr7zyivr37y8fHx+neUJye6w6derogQce0OzZs+Xp6an27dvr119/1cyZMxUYGJjraztkyBB98sknGj16tMqXL28/5yzdunVT3bp11bhxY5UqVUpHjhzR7NmzValSJdWoUSPXx8mrDh06KDIyUuPHj9fFixfVsmVL7dmzR88//7waNGiggQMHSlKersMLL7yg9evXq0WLFnrsscdUq1YtJScnKyYmRmvWrNG8efNy1UYqy7vvvqvOnTsrMjJSgwcPVrly5XT+/Hnt379fu3fv1vLlyyVJEydO1KpVq3TXXXdp8uTJ8vX11dtvv33NOTbyepzcKuzXfG5YrVa9/vrrSkhIUJMmTbRlyxZNmzZNnTt31h133JHjdmPGjNHnn3+uVq1a6YknnlBERIQyMjJ09OhRrVu3TmPHjs0xkVSiRAmNGzdO06ZN08MPP6w+ffro2LFjmjJlyjVbk8XHx6tt27bq37+/ateurYCAAO3YsUNRUVH2ZIC/v79ef/11Pfzww2rfvr2GDRumMmXK6I8//tAvv/yit956K0/X6O6779Z///tf9e/fX8OHD9e5c+c0c+bMPLXaGjNmjBYsWKDOnTvrhRdeUJkyZbR06VJ7e0I3Nzd77HPmzNGgQYN0/vx59e7dW6VLl9aZM2f0yy+/6MyZM5o7d26Ox+natatWrFihkSNHqnfv3jp27JhefPFFhYeH69ChQ6ax9erV08aNG/XVV18pPDxcAQEBOVZ5ubu769VXX9XAgQM1YsQI9evXT4cOHdLTTz+tDh06qFOnTk7bfPHFFzp//vw1q2GSkpK0bds2+/d//fWXvvjiC61evVqtW7fWvHnzJGW2GPvyyy8VGRmpHj16ZLuvWbNm6cMPP9SMGTPk6empqVOnqkmTJurataueeeYZJScna/LkyQoNDdXYsWPt24WEhGjixImaNGmSQkJC1LFjR+3YsUNTpkzRww8/7JT4/uyzzyTJPs/Tzp075e/vLymzrRwAAECxYwAAAKDY27p1q9G7d2+jTJkyhoeHh1G6dGmjV69expYtW5zGPv/884YkY9euXUa3bt0Mf39/IyAgwOjXr59x6tQp0z7vueceo1KlSoaXl5dRsmRJo3Xr1saqVatM+7PZbMbMmTON+vXrG97e3oa/v79Ru3ZtY8SIEcahQ4fs4ypVqmTcfffdVz2PFi1aGJKMAQMGZPt4bo+VkpJijB071ihdurTh7e1t3H777cbWrVuNSpUqGYMGDcrNJTXS09ONChUqGJKM5557zunx119/3WjRooURGhpqWK1Wo2LFisbQoUONmJiYq+73u+++MyQZy5cvN61fuHChIcnYsWOHaX3W83XmzBn7uqSkJGP8+PFGpUqVDE9PTyM8PNx45JFHjAsXLpi2zct1OHPmjPHYY48ZVapUMTw9PY2QkBCjUaNGxnPPPWckJCTYx0kynn/+eafz+e6770z7++WXX4y+ffsapUuXNjw9PY2wsDDjrrvuMubNm2ca9+OPPxq333674eXlZYSFhRlPPfWU8f/+3/8zJBmHDx++6rXM7XFyuraOsRfWa16SMWrUKNO6w4cPG5KM1157zb5u0KBBhp+fn7Fnzx6jTZs2ho+PjxESEmI88sgjpuck61iOz2lCQoIxceJEo1atWobVajWCgoKMevXqGU888YQRGxt71euakZFhzJgxw6hQoYJhtVqNiIgI46uvvjJat25ttG7d2inuhQsXGoZhGMnJycZ//vMfIyIiwggMDDR8fHyMWrVqGc8//7yRmJhoOsaaNWuM1q1bG35+foavr69xyy23GK+88orT+TvKuieutGDBAqNWrVqGl5eXUbVqVWPGjBnG/PnznV5HV/s59Ouvvxrt27c3vL29jZCQEGPo0KHGBx98YEgyfvnlF9PYTZs2GXfffbcREhJieHp6GuXKlTPuvvtup/s6Oy+//LJRuXJlw8vLy6hTp47x3nvvZXtO0dHRRsuWLQ1fX19Dkum652Tp0qVGRESEYbVajbCwMOOxxx4zLl26lO3YDh06GH5+fsbFixdz3F/r1q0NSfYvPz8/o2rVqkbv3r2N5cuXG+np6faxs2fPNiQZX3zxRY77mzdvniHJ+Pzzz+3rdu7cabRr187w9fU1AgMDjZ49exp//PFHttu/8cYbRs2aNe0/c59//nkjNTXVadyVMTt+AQAAFEcWwzCMQsj3AAAAAABQrAwfPlwff/yxzp07J6vVWtThAAAA4CZFazIAAAAAwE3vhRdeUNmyZVW1alUlJCRo9erVev/99zVx4kSSMAAAAChQJGIAAAAAADc9T09Pvfbaazp+/LjS0tJUo0YN/fe//9Xjjz9e1KEBAADgJkdrMgAAAAAAAAAAgALiVtQBAAAAAAAAAAAA3KxIxAAAAAAAAAAAABQQEjEAAAAAAAAAAAAFxKOoA3AVGRkZOnHihAICAmSxWIo6HAAAAAAAAAAAUIQMw9ClS5dUtmxZubnlXPdCIiaXTpw4oQoVKhR1GAAAAAAAAAAAoBg5duyYypcvn+PjJGJyKSAgQFLmBQ0MDCziaIoPm82mdevWqWPHjvL09CzqcABcgfsTcA3cq4Dr4H4FXBP3LuA6uF8B18C9+o+LFy+qQoUK9vxBTkjE5FJWO7LAwEASMVew2Wzy9fVVYGDgv/6mA4ob7k/ANXCvAq6D+xVwTdy7gOvgfgVcA/eqs2tNZ5Jz0zIAAAAAAAAAAADcEBIxAAAAAAAAAAAABYREDAAAAAAAAAAAQAFhjhgAAAAAAAAAyAfp6emy2WxFHQZQoGw2mzw8PJScnKz09PSiDqdAubu7y8PD45pzwFwLiRgAAAAAAAAAuEEJCQk6fvy4DMMo6lCAAmUYhsLCwnTs2LEbTlC4Al9fX4WHh8tqtV73PkjEAAAAAAAAAMANSE9P1/Hjx+Xr66tSpUr9K96cxr9XRkaGEhIS5O/vLze3m3f2E8MwlJqaqjNnzujw4cOqUaPGdZ8viRgAAAAAAAAAuAE2m02GYahUqVLy8fEp6nCAApWRkaHU1FR5e3vf1IkYSfLx8ZGnp6eOHDliP+frcXNfJQAAAAAAAAAoJFTCADef/Eg2kYgBAAAAAAAAAAAoICRiAAAAAAAAAAAACgiJGAAAAAAAAAAAgAJCIgYAAAAAAAAA/oUGDx4si8Uii8UiT09PVa1aVePGjVNiYmJRh3bdKleurNmzZxd1GNmKiYmRxWJRdHR0UYeCQuZR1AEAAAAAAAAAAIpGp06dtHDhQtlsNm3evFkPP/ywEhMTNXfu3DzvyzAMpaeny8PD9d92Tk1NldVqLeowcJOgIgYAAAAAAAAA8ltGetF85ZGXl5fCwsJUoUIF9e/fXwMGDNAXX3whSVq8eLEaN26sgIAAhYWFqX///jp9+rR9240bN8pisejrr79W48aN5eXlpc2bN+vPP/9Ujx49VKZMGfn7+6tJkybasGGD6biVK1fWtGnT9OCDD8rf31+VKlXSl19+qTNnzqhHjx7y9/dXvXr1tHPnTtN2W7ZsUatWreTj46MKFSroscces1fwtGnTRkeOHNETTzxhr/TJzXZXxjN48GAFBQVp2LBh2V6vzz77TPXq1ZOPj49Kliyp9u3bm/azcOFC1alTR97e3qpdu7beeecd+2NVqlSRJDVo0EAWi0Vt2rSxX8emTZvKz89PwcHBatmypY4cOZLbpxAuwPVTkwAAAAAAAABQnGSkSyfWFM2xy3aR3Nyve3MfHx/ZbDZJmVUhL774omrVqqXTp0/riSee0ODBg7Vmjfncnn76ac2cOVNVq1ZVcHCwjh8/ri5dumjatGny9vbWBx98oG7duunAgQOqWLGifbtZs2Zp+vTpmjRpkmbNmqWBAweqZcuWGjJkiF577TWNHz9eDz74oPbt2yeLxaK9e/cqMjJSL774oubPn68zZ85o9OjRGj16tBYuXKgVK1aofv36Gj58uCmRcq3tsrz22muaNGmSJk6cmO21OXnypPr166dXX31V99xzjy5duqTNmzfLMAxJ0nvvvafnn39eb731lho0aKCff/5Zw4YNk5+fnwYNGqTt27eradOm2rBhg2699VZZrValpaWpZ8+eGjZsmD7++GOlpqZq+/btpiQSXB+JGAAAAAAAAACAtm/frqVLl6pdu3aSpCFDhtgfq1q1qt588001bdpUCQkJ8vf3tz/2wgsvqEOHDvblkiVLqn79+vbladOmaeXKlVq1apVGjx5tX9+lSxeNGDFCkjR58mTNnTtXTZo0UZ8+fSRJ48ePV/PmzXXq1CmFhYXptddeU//+/TVmzBhJUo0aNfTmm2+qdevWmjt3rkJCQuTu7m6v4Mlyre28vb0lSXfddZfGjRuX4/U5efKk0tLS1KtXL1WqVEmSVK9ePfvjL774ol5//XX16tVLUmYFzG+//aZ3331XgwYNUqlSpezXJyu+8+fPKz4+Xl27dlW1atUkSXXq1MkxBrgmEjEAAAAAAAAAkJ/c3DMrU4rq2HmwevVq+fv7Ky0tTTabTT169NCcOXMkST///LOmTJmi6OhonT9/XhkZGZKko0eP6pZbbrHvo3HjxqZ9JiYmaurUqVq9erVOnDihtLQ0JSUl6ejRo6ZxERER9u/LlCkjyZzYyFp3+vRphYWFadeuXfrjjz+0ZMkS+xjDMJSRkaHDhw/nmMDI7XaO5+Gofv36ateunerVq6fIyEh17NhRvXv3VokSJXTmzBkdO3ZMQ4cONVXjpKWlKSgoKMd9hoSEaPDgwYqMjFSHDh3Uvn179e3bV+Hh4VeNBa6FRAwAAAAAAAAA5LcbaA9WmNq2bau5c+fK09NTZcuWlaenp6TMZErHjh3VsWNHLV68WKVKldLRo0cVGRmp1NRU0z78/PxMy0899ZS+/vprzZw5U9WrV5ePj4969+7ttF3WsSTZW3Flty4rAZSRkaERI0boscceczqPK1ueOcrtdo7n4cjd3V3r16/Xli1btG7dOs2ZM0fPPfecfvrpJ/n6+krKbE/WrFkzp+2uZuHChXrssccUFRWlTz75RBMnTtT69et1++23X3U7uA4SMQAAAAAAAADwL+Xn56fq1as7rf/999919uxZvfzyy6pQoYIkaefOnbna5+bNmzV48GDdc889kqSEhATFxMTccKwNGzbUvn37so03i9VqVXp6ep63yy2LxaKWLVuqZcuWmjx5sipVqqSVK1fqySefVLly5fTXX39pwIABOcYmySk+SWrQoIEaNGigCRMmqHnz5lq6dCmJmJuIW1EHAAAAAAAAAAAoXipWrCir1ao5c+bor7/+0qpVq/Tiiy/matvq1atrxYoVio6O1i+//KL+/fvbq1puxPjx47V161aNGjVK0dHROnTokFatWqVHH33UPqZy5cr6/vvv9ffff+vs2bO53i43fvrpJ02fPl07d+7U0aNHtWLFCp05c8be2mzKlCmaMWOG3njjDR08eFB79+7VwoUL9d///leSVLp0afn4+CgqKkqnTp1SfHy8Dh8+rAkTJmjr1q06cuSI1q1bp4MHDzJPzE2GRAwAAAAAAAAAwKRUqVJatGiRli9frltuuUUvv/yyZs6cmattZ82apRIlSqhFixbq1q2bIiMj1bBhwxuOKSIiQps2bdKhQ4d05513qkGDBpo0aZJpPpUXXnhBMTExqlatmkqVKpXr7XIjMDBQ33//vbp06aKaNWtq4sSJev3119W5c2dJ0sMPP6z3339fixYtUr169dS6dWstWrRIVapUkSR5eHjozTff1LvvvquyZcuqR48e8vX11e+//657771XNWvW1PDhwzV69GiNGDHihq8Xig+LYRhGUQfhCi5evKigoCDFx8crMDCwqMMpNmw2m9asWaMuXbqY+jcCKHrcn4Br4F4FXAf3K+CauHcB1+HK92tycrIOHz6sKlWqyNvbu6jDAQpURkaGLl68qMDAQLm53fy1Hle7v3ObN7j5rxIAAAAA4F/FMAztiDmvX47FFXUoAAAAgDyKOgAAAAAAAPLTU5/t0We7jkuSHrurup7sWKuIIwIAAMC/GRUxAAAAAICbxulLyfp893H78vwfDist/cYnBwYAAACuF4kYAAAAAMBN4/iFJF05E2piarouJqcVXUAAAAD41yMRAwAAAAC4aZxPSHVadynZVgSRAAAAAJlIxAAAAAAAbhrnElOc1l1MoiIGAAAARYdEDAAAAADgpnGWihgAAAAUMyRiAAAAAAA3jXPZJGIukogBAABAESIRAwAAAAC4aWTbmiyZ1mQAAAAoOiRiAAAAAAA3jWwrYpKoiAEA4EZVrlxZs2fPLuow8s31nM/gwYPVs2dP+3KbNm00ZsyYG44lJiZGFotF0dHRN7wvFE8kYgAAAAAAN42zCc4VMZeoiAEAIEfHjh3T0KFDVbZsWVmtVlWqVEmPP/64zp07V9ShFXsrVqzQiy++WNRhwAV4FHUAAAAAAADkl3OJzhUxJGIAAIUpI8PQhcvO/x8VphK+Vrm5Wa457q+//lLz5s1Vs2ZNffzxx6pSpYr27dunp556SmvXrtW2bdsUEhJSCBE7S09Pl8VikZtb8a0lKKprk1upqamyWq1FHQZEIgYAAAAAcJPIyDB0IZtEzMVkWpMBAArPhcupajRtQ5HGsGtie5X097rmuFGjRslqtWrdunXy8fGRJFWsWFENGjRQtWrV9Nxzz2nu3Ln28ZcuXVL//v21atUqBQYGasKECXr00Uftj0+ZMkULFizQqVOnVLJkSfXu3VtvvvmmpMykwMSJE7VkyRLFxcWpbt26euWVV9SmTRtJ0qJFizRmzBgtXrxYTz/9tA4ePKi3335bjz/+uGJjYxUcHGw/zmOPPaZffvlFmzZtkiRt2bJFzzzzjHbs2KHQ0FDdc889mjFjhvz8/CRJp0+f1tChQ7VhwwaFhYVp2rRp17w26enpeuqpp7RgwQK5u7tr6NChMgzDNKZNmza67bbb7C3O3nnnHc2aNUvHjh1TUFCQ7rzzTn322WeSpIyMDL322mt67733dOzYMZUpU0YjRozQc889Z9/fX3/9pSeeeEI//fSTatSooXnz5ql58+aSpHPnzmn06NHavHmzzp8/r2rVqunZZ59Vv379TPHUrVtXVqtVH374oW699VZt2rRJq1at0tixY3X8+HHdfvvtGjx4sAYPHqwLFy7Yr+u1riFuTPFNJwIAAAAAkAcXk21KyzCc1l8iEQMAgJPz58/r66+/1siRI+1JmCxhYWEaMGCAPvnkE1Py4bXXXlNERIR2796tCRMm6IknntD69eslSZ999plmzZqld999V4cOHdIXX3yhevXq2bd96KGH9OOPP2rZsmXas2eP+vTpo06dOunQoUP2MZcvX9aMGTP0/vvva9++fXrggQcUHByszz//3D4mPT1dn376qQYMGCBJ2rt3ryIjI9WrVy/t2bNHn3zyiX744QeNHj3avs3gwYMVExOjb7/9Vp999pneeecdnT59+qrX5/XXX9eCBQs0f/58/fDDDzp//rxWrlyZ4/idO3fqscce0wsvvKADBw4oKipKrVq1sj8+YcIEvfLKK5o0aZJ+++03LV26VGXKlDHt47nnntO4ceMUHR2tmjVrql+/fkpLy6zsTU5OVqNGjbR69Wr9+uuvGj58uAYOHKiffvrJtI8PPvhAHh4e+vHHH/Xuu+8qJiZGvXv3Vs+ePRUdHe2U/MntNcSNoSIGAAAAAHBTOJuQfRuYi0m0JgMAwNGhQ4dkGIbq1KmT7eN16tTRhQsXdObMGZUuXVqS1LJlSz3zzDOSpJo1a+rHH3/UrFmz1KFDBx09elRhYWFq3769PD09VbFiRTVt2lSS9Oeff+rjjz/W8ePHVbZsWUnSuHHjFBUVpYULF2r69OmSJJvNpnfeeUf169e3x3Hfffdp6dKlGjp0qCTpm2++0YULF9SnTx9Jmcmh/v37a8yYMZKkGjVq6M0331Tr1q01d+5cHT161N5mrVmzZpKk+fPn53jeWWbPnq0JEybo3nvvlSTNmzdPX3/9dY7jjx49Kj8/P3Xt2lUBAQGqVKmSGjRoICmzkuiNN97QW2+9pUGDBkmSqlWrpjvuuMO0j3Hjxunuu++WJE2dOlW33nqr/vjjD9WuXVvlypXTuHHj7GMfffRRRUVFafny5fbzkqTq1avr1VdftS8/88wzqlWrll577TVJUq1atfTrr7/qpZdeso+51jX09va+6rXCtVERAwAAAAC4KZxLSMl2/aUUKmIAAMirrEoYi+WfuWay2mRdubx//35JUp8+fZSUlKSqVatq2LBhWrlypb2aY/fu3TIMQzVr1pS/v7/9a9OmTfrzzz/t+7NarYqIiDAdY8CAAdq4caNOnDghSVqyZIm6dOmiEiVKSJJ27dqlRYsWmfYbGRmpjIwMHT58WPv375eHh4caN25s32ft2rVNrc4cxcfH6+TJk6bzddyHow4dOqhSpUqqWrWqBg4cqCVLlujy5cuSpP379yslJUXt2rXLcXtJpnMPDw+XJHvlTnp6ul566SVFRESoZMmS8vf317p163T06FHTPhxjPHDggJo0aWJal5Ugy3Kta4gbR0UMAAAAAOCmcC6b+WEkKmIAAIWrhK9Vuya2L/IYrqV69eqyWCz67bff1LNnT6fHf//9d5UoUUKhoaFX3U9WoqZChQo6cOCA1q9frw0bNmjkyJF67bXXtGnTJmVkZMjd3V27du2Su7u7aXt/f3/79z4+PqbEj5SZNKhWrZqWLVumRx55RCtXrtTChQvtj2dkZGjEiBF67LHHnGKrWLGiDhw4YIqzoAQEBGj37t3auHGj1q1bp8mTJ2vKlCnasWOHU+u3nHh6etq/z4o3IyNDUmartFmzZmn27NmqV6+e/Pz8NGbMGKWmmn//cZzTxTAMp3N3nOvmWtcQN45EDAAAAADgppBjRQxzxAAACpGbm0Ul/b2KOoxrKlmypDp06KB33nlHTzzxhClZEBsbqyVLlujBBx80vYm/bds20z62bdum2rVr25d9fHzUvXt3de/eXaNGjVLt2rW1d+9eNWjQQOnp6Tp9+rTuvPPOPMfav39/LVmyROXLl5ebm5u9fZckNWzYUPv27VP16tWz3bZOnTpKS0vTzp077ZUgBw4cUFxcXI7HCwoKUnh4uLZt22af5yUtLU27du1Sw4YNc9zOw8ND7du3V/v27fX8888rODhY3377rbp06SIfHx998803evjhh/N8/pK0efNm9ejRQw888ICkzOTJoUOHrtlirXbt2lqzZo1p3c6dO03L17qGuHG0JgMAAAAA3BRynCMmOc3pk58AAEB66623lJKSosjISH3//fc6duyYoqKi1KFDB5UrV840j4gk/fjjj3r11Vd18OBBvf3221q+fLkef/xxSdKiRYs0f/58/frrr/rrr7/00UcfycfHR5UqVVLNmjU1YMAAPfjgg1qxYoUOHz6sHTt26JVXXnFKEmRnwIAB2r17t1566SX17t3bNGfJ+PHjtXXrVo0aNUrR0dE6dOiQVq1apUcffVRS5pwonTp10rBhw/TTTz9p165devjhh69ZpfL444/r5Zdf1sqVK/X7779r5MiRV03erF69Wm+++aaio6N15MgRffjhh8rIyFCtWrXk7e2t8ePH6+mnn9aHH36oP//8U9u2bdP8+fOvee5ZqlevrvXr12vLli3av3+/RowYodjY2GtuN2LECP3+++8aP368Dh48qE8//VSLFi2S9E/VzbWuIW4ciRgAAAAAwE3hXGL2FTHpGYaSbOmFHA0AAMVfjRo1tHPnTlWrVk333XefqlWrpuHDh6tt27baunWrQkJCTOPHjh2rXbt2qUGDBnrxxRf1+uuvKzIyUpIUHBys9957Ty1btlRERIS++eYbffXVVypZsqQkaeHChXrwwQc1duxY1apVS927d9dPP/2kChUq5CrOJk2aaM+ePRowYIDpsYiICG3atEmHDh3SnXfeqQYNGmjSpEn2OVayjl2hQgW1bt1avXr10vDhw1W6dOmrHnPs2LF68MEHNXjwYDVv3lwBAQG65557chwfHBysFStW6K677lKdOnU0b948ffzxx7r11lslSZMmTdLYsWM1efJk1alTR/fdd599/pfcmDRpkho2bKjIyEi1adNGYWFh2baUc1SlShV99tlnWrFihSIiIjR37lw999xzkiQvr8zKrdxcQ9wYi8HHgnLl4sWLCgoKUnx8vAIDA4s6nGLDZrNpzZo16tKli6mHIYCix/0JuAbuVcB1cL8Wf48s3qW1v2b/ydBtE9opLMg728dwc+PeBVyHK9+vycnJOnz4sKpUqWKq1gCKo5deeknz5s3TsWPHrmv7jIwMXbx4UYGBgXJzu/lrPa52f+c2b8AcMQAAAACAm8K5xOxbk0mZ88SQiAEAAP9G77zzjpo0aaKSJUvqxx9/1GuvvabRo0cXdVj/KiRiAAAAAAA3hXMJ2bcmk6SLybZCjAQAAKD4OHTokKZNm6bz58+rYsWKGjt2rCZMmFDUYf2rkIgBAAAAANwUrlYRczE5rRAjAQAAKD5mzZqlWbNmFXUY/2o3fwM3AAAAAMBNz5aeobjLOVe9XEyiIgYAAABFg0QMAAAAAMDlXbhKNYwkXaIiBgAAAEWERAwAAAAAwOWdTSARAwAAgOKpSBMxc+fOVUREhAIDAxUYGKjmzZtr7dq19scHDx4si8Vi+rr99ttN+0hJSdGjjz6q0NBQ+fn5qXv37jp+/LhpzIULFzRw4EAFBQUpKChIAwcOVFxcXGGcIgAAAACgEJxLTLnq4xeTaU0GAACAolGkiZjy5cvr5Zdf1s6dO7Vz507ddddd6tGjh/bt22cf06lTJ508edL+tWbNGtM+xowZo5UrV2rZsmX64YcflJCQoK5duyo9Pd0+pn///oqOjlZUVJSioqIUHR2tgQMHFtp5AgAAAAAK1rlrVsSQiAEAAEDR8CjKg3fr1s20/NJLL2nu3Lnatm2bbr31VkmSl5eXwsLCst0+Pj5e8+fP10cffaT27dtLkhYvXqwKFSpow4YNioyM1P79+xUVFaVt27apWbNmkqT33ntPzZs314EDB1SrVq0CPEMAAAAAQGE4m3CNipgkWpMBAACgaBRpIuZK6enpWr58uRITE9W8eXP7+o0bN6p06dIKDg5W69at9dJLL6l06dKSpF27dslms6ljx4728WXLllXdunW1ZcsWRUZGauvWrQoKCrInYSTp9ttvV1BQkLZs2ZJjIiYlJUUpKf/8In/x4kVJks1mk83GJ6myZF0LrglQ/HB/Aq6BexVwHdyvxdvZS8lXfTw+KZXn7l+KexdwHa58v9psNhmGoYyMDGVkZBR1ODe9mJgYVatWTbt27dJtt92W7ZiNGzeqXbt2OnfunIKDgws1vpudYRj2f/8Nr/eMjAwZhiGbzSZ3d3fTY7n9eVXkiZi9e/eqefPmSk5Olr+/v1auXKlbbrlFktS5c2f16dNHlSpV0uHDhzVp0iTddddd2rVrl7y8vBQbGyur1aoSJUqY9lmmTBnFxsZKkmJjY+2JmyuVLl3aPiY7M2bM0NSpU53Wr1u3Tr6+vjdyyjel9evXF3UIAHLA/Qm4Bu5VwHVwvxZP0X+66cru2+4WQ+mGxb589OQZp1bX+Hfh3gVchyverx4eHgoLC1NCQoJSU6/eLrM4GTlypD7++GOn9e3atdNnn31WBBHlTkJCgiQpMTHR/gF6R5cvX5YkXbp0SW5uRTpDx03r0qVLRR1CoUhNTVVSUpK+//57paWZq6yzXmfXUuSJmFq1aik6OlpxcXH6/PPPNWjQIG3atEm33HKL7rvvPvu4unXrqnHjxqpUqZL+97//qVevXjnu0zAMWSz//MJ95fc5jXE0YcIEPfnkk/blixcvqkKFCurYsaMCAwPzepo3LZvNpvXr16tDhw7y9PQs6nAAXIH7E3AN3KuA6+B+Ld6+XPyzdPqMfblyqL/+PJNoX/bw8VeXLi2LIjQUMe5dwHW48v2anJysY8eOyd/fX95eVuny+aINyDdEslw7+eDp6anIyEgtWLDAtN7Ly6tYvwfq7+8vSfLz88sxzqwP0wcEBBTrc3FFhmHo0qVLCggIuOp77DeL5ORk+fj4qFWrVvL29jY9llMi0FGRJ2KsVquqV68uSWrcuLF27NihN954Q++++67T2PDwcFWqVEmHDh2SJIWFhSk1NVUXLlwwVcWcPn1aLVq0sI85deqU077OnDmjMmXK5BiXl5eXvLy8nNZ7enq63H8EhYHrAhRf3J+Aa+BeBVwH92vxdP6yuS1EFYdEzKXkdJ63fznuXcB1uOL9mp6eLovFIjc3N7klx0mv1yjagJ76U/ILveYwi8Uib29vlS1b9qpj3nvvPf3vf//T119/rXLlyun1119X9+7dJUkXLlzQ6NGjtW7dOiUkJKh8+fJ69tln9dBDD0mS/v77bz355JNat26d3NzcdMcdd+iNN95Q5cqVJUmDBw9WXFycmjZtqjfeeEMpKSl64okn9Nxzz2nChAmaP3++fH199cILL2jIkCGSZK9wOXjwoEaPHq3du3erWrVqevvtt9WmTRvTGDc3N/v3W7Zs0TPPPKMdO3YoNDRU99xzj2bMmCE/P79sz33KlCn64osv9Nhjj2nKlCk6f/68Bg4cqLfeekuvv/66/vvf/yojI0OPP/64nnvuOft28fHxeuqpp/TFF18oOTlZjRs31qxZs1S/fn1J0p9//qknn3xS27ZtU2JiourUqaMZM2bY50GXpMqVK2v48OH6448/tHz5cpUoUUITJ07U8OHDr/m8FrSsdmRZr/mbnZubmywWS7Y/m3L7s6rYXSXDMExzs1zp3LlzOnbsmMLDwyVJjRo1kqenp6lc8eTJk/r111/tiZjmzZsrPj5e27dvt4/56aefFB8fbx8DAAAAAHBt5xLNf0dWLWV+Q+VSsuvNNwAAQHExdepU9e3bV3v27FGXLl00YMAAnT+fWfUzadIk/fbbb1q7dq3279+vuXPnKjQ0Mwl0+fJltW3bVv7+/vr+++/1ww8/yN/fX506dTK1cPv222914sQJff/99/rvf/+rKVOmqGvXripRooR++ukn/ec//9F//vMfHTt2zBTXU089pbFjx+rnn39WixYt1L17d507dy7bc9i7d68iIyPVq1cv7dmzR5988ol++OEHjR49+qrn/ueff2rt2rWKiorSxx9/rAULFujuu+/W8ePHtWnTJr3yyiuaOHGitm3bJinz/e27775bsbGxWrNmjXbt2qWGDRuqXbt29muWkJCgLl26aMOGDfr5558VGRmpbt266ejRo6Zjv/7662rcuLF+/vlnjRw5Uo888oh+//33PDxzKC6KNBHz7LPPavPmzYqJidHevXv13HPPaePGjRowYIASEhI0btw4bd26VTExMdq4caO6detmz1RKUlBQkIYOHaqxY8fqm2++0c8//6wHHnhA9erVs2cP69Spo06dOmnYsGHatm2btm3bpmHDhqlr166qVatWUZ4+AAAAACCfnEsw9+OvXNKciElMTVda+s0/mSwAAHm1evVq+fv7m75efPFF05jBgwerX79+ql69uqZPn67ExET7B9+PHj2qBg0aqHHjxqpcubLat2+vbt26SZKWLVsmNzc3vf/++6pXr57q1KmjhQsX6ujRo9q4caN9/yEhIXrzzTdVq1YtDRkyRLVq1dLly5f17LPPqkaNGpowYYKsVqt+/PFHU1yjR4/Wvffeqzp16mju3LkKCgrS/Pnzsz3P1157Tf3799eYMWNUo0YNtWjRQm+++aY+/PBDJScn53h9MjIytGDBAt1yyy3q1q2b2rZtqwMHDmj27NmqVauWHnroIdWqVct+Pt9995327t2r5cuXq3HjxqpRo4Zmzpyp4OBg+7w79evX14gRI1SvXj3VqFFD06ZNU9WqVbVq1SrTsbt06aKRI0eqevXqGj9+vEJDQ03XDa6jSFuTnTp1SgMHDtTJkycVFBSkiIgIRUVFqUOHDkpKStLevXv14YcfKi4uTuHh4Wrbtq0++eQTBQQE2Pcxa9YseXh4qG/fvkpKSlK7du20aNEiubu728csWbJEjz32mDp27ChJ6t69u956661CP18AAAAAQP67nJqmy6nppnVVQp1bjCSkpCnY11pYYQEA4BLatm2ruXPnmtaFhISYliMiIuzf+/n5KSAgQKdPn5YkPfLII7r33nu1e/dudezYUT179rR3Itq1a5f++OMP0/u5UuacG3/++ad9+dZbbzW1uCpTpozq1q1rX3Z3d1fJkiXtx8zSvHlz+/ceHh5q3Lix9u/fn+15ZsWyZMkS+zrDMJSRkaHDhw+rTp062W5XuXJlU/xlypSRu7u7U7xZse3atUsJCQkqWbKkaT9JSUn2c05MTNTUqVO1evVqnThxQmlpaUpKSnKqiLnyulssFoWFhTldA7iGIk3E5JSdlCQfHx99/fXX19yHt7e35syZozlz5uQ4JiQkRIsXL76uGAEAAAAAxZtjNYyUfSLmYhKJGABAIfAJyZyjpahjyCU/Pz/7HN45cZwHw2Kx2OcJ6dy5s44cOaL//e9/2rBhg9q1a6dRo0Zp5syZysjIUKNGjUzJjyylSpW66v6vdsyryWny+IyMDI0YMUKPPfaY02MVK1bMcX95jS0jI0Ph4eHZVq4EBwdLymyp9vXXX2vmzJmqXr26fHx81Lt3b1O7tpyOnZtrgOKnSBMxAAAAAADcqHOJ5jctrO5uKhPoJXc3i9IzDPv6i8wTAwAoDG5ukl9oUUdRqEqVKqXBgwdr8ODBuvPOO/XUU09p5syZatiwoT755BOVLl1agYGB+X7cbdu2qVWrVpKktLQ07dq1K8c5Xxo2bKh9+/ZdM+l0oxo2bKjY2Fh5eHiocuXK2Y7ZvHmzBg8ebJ+CIyEhQTExMQUaF4pWkc4RAwAAAADAjTqfmGJaDvGzymKxKMDb/NlDEjEAADhLSUlRbGys6evs2bO53n7y5Mn68ssv9ccff2jfvn1avXq1vc3XgAEDFBoaqh49emjz5s06fPiwNm3apMcff1zHjx+/4djffvttrVy5Ur///rtGjRqlCxcuaMiQIdmOHT9+vLZu3apRo0YpOjpahw4d0qpVq/Too4/ecBxXat++vZo3b66ePXvq66+/VkxMjLZs2aKJEydq586dkqTq1atrxYoVio6O1i+//KL+/ftT6XKTIxEDAAAAAHBpZx1ak5X0z2w/FuhtbudxKTmt0GICAMBVREVFKTw83PR1xx135Hp7q9WqCRMmKCIiQq1atZK7u7uWLVsmSfL19dX333+vihUrqlevXqpTp46GDBmipKSkfKmQefnll/XKK6+ofv362rx5s7788kuFhmZfjRQREaFNmzbp0KFDuvPOO9WgQQNNmjRJ4eHhNxzHlSwWi9asWaNWrVppyJAhqlmzpu6//37FxMSoTJkykjLnPS9RooRatGihbt26KTIyUg0bNszXOFC8WAzDMK49DBcvXlRQUJDi4+MLpIzOVdlsNq1Zs0ZdunRx6lkIoGhxfwKugXsVcB3cr8XX3I1/6pWo3+3LrWqW0odDmuruNzdr34mL9vUz+9RX70bliyJEFCHuXcB1uPL9mpycrMOHD6tKlSry9vYu6nCAApWRkaGLFy8qMDBQbm43f63H1e7v3OYNbv6rBAAAAAC4qZ1LMLcmC/XLviLmYhKtyQAAAFD4SMQAAAAAAFzaucTsW5M5zhFDazIAAAAUBRIxAAAAAACXdtahIqakv5ckKdDHoSImmYoYAAAAFD4SMQAAAAAAl3YuwaEixi+nihgSMQAAACh8JGIAAAAAAC7tXKJjRUxOc8TQmgwAAACFj0QMAAAAAMBlGYah845zxPhltiZzqohJoSIGAAAAhY9EDAAAAADAZdnSDdnSDdM6//9LwDjNEUNFDAAAAIoAiRgAAAAAgMuypWc4rbO6Z/6pG8gcMQAAACgGSMQAAAAAAFxWappzIsbLIysR41ARk0xFDAAAAAofiRgAAAAAgMvKriLG8/8qYgIcEjGXkm0yDMNpPAAAyLuNGzfKYrEoLi7uquMqV66s2bNn59tx27RpozFjxuRpmylTpui2226zLw8ePFg9e/bMl3gsFou++OKLfNlXYRo4cKCmT59e1GEUqZSUFFWsWFG7du0q8GORiAEAAAAAuKyUbCpirFkVMT7m1mS2dEPJNufxAAD8m8XGxurRRx9V1apV5eXlpQoVKqhbt2765ptvrrpdixYtdPLkSQUFBUmSFi1apODgYKdxO3bs0PDhwwsi9Ov2xhtvaNGiRUUdRpHZs2eP/ve//+nRRx+1rxs8eLAsFovp6/bbbzdtl5KSokcffVSlS5dWuXLl1KNHDx0/ftw05sKFCxo4cKCCgoIUFBSkgQMHXjNZdz1mz56tzp07q0OHDho2bJjTh20GDx6sZ5555qr78PLy0rhx4zR+/Ph8j88RiRgAAAAAgMtKzUNFjMQ8MQAAXCkmJkaNGjXSt99+q1dffVV79+5VVFSU2rZtq1GjRuW4nc1mk9VqVVhYmCwWy1WPUapUKfn6+uZ36DckKCgo26RRcZGamlqg+3/rrbfUp08fBQQEmNZ36tRJJ0+etH+tWbPG9PiYMWO0cuVKLV26VGvXrlViYqK6du2q9PR0+5j+/fsrOjpaUVFRioqKUnR0tAYOHJjv5zBmzBiVK1dOf/75p5YuXapLly7ZH8vIyND//vc/9ejR45r7GTBggDZv3qz9+/fne4xXIhEDAAAAAHBZ2bcmy3xDKMDbw+mxiyRiAACFKDExUYmJiaZP66empioxMVEpKSnZjs3I+Of/NpvNpsTERCUnJ+dqbF6NHDlSFotF27dvV+/evVWzZk3deuutevLJJ7Vt2zb7OIvFonnz5qlHjx7y8/PTtGnTTK3JNm7cqIceekjx8fH2aoopU6ZIcm5NFhcXp+HDh6tMmTLy9vZW3bp1tXr1aknSuXPn1K9fP5UvX16+vr6qV6+ePv744zyf18svv6wyZcooICBAQ4cOdbp+jq3JPvvsM9WrV08+Pj4qWbKk2rdvr8TERPvjCxYs0K233iovLy+Fh4dr9OjRpv2dPXtW99xzj3x9fVWjRg2tWrXK/lh6erqGDh2qKlWqyMfHR7Vq1dIbb7yRbTwzZsxQ2bJlVbNmTUnSli1bdNttt8nb21uNGzfWF198IYvFoujoaPu2v/32m7p06SJ/f3+VKVNGAwcO1NmzZ3O8NhkZGVq+fLm6d+/u9JiXl5fCwsLsXyEhIfbH4uPjNX/+fL3++utq3769IiIi9OGHH2rv3r3asGGDJGn//v2KiorS+++/r+bNm6t58+Z67733tHr1ah04cCDHmCpXrqxp06bpwQcflL+/vypVqqQvv/xSZ86cUY8ePeTv76969epp586dpu3ef/99/fzzz3rqqadMSaUff/xRbm5uatasmVJTUzV69GiFh4fL29tblStX1owZM+xjS5YsqRYtWlzX6ywvSMQAAAAAAFxWqkNrMquHm/2TuZ7ubvLxdDc9fjE5rdBiAwDA399f/v7+pjfGX3vtNfn7+zu9mV+6dGn5+/vr6NGj9nVvv/22/P39NXToUNPYypUry9/f3/Qp/ry22jp//ryioqI0atQo+fn5OT3uWDHy/PPPq0ePHtq7d6+GDBlieqxFixaaPXu2AgMD7dUU48aNc9pnRkaGOnfurC1btmjx4sX67bff9PLLL8vdPfP/6+TkZDVq1EirV6/Wr7/+quHDh2vgwIH66aefcn1en376qZ5//nm99NJL2rlzp8LDw/XOO+/kOP7kyZPq16+fhgwZov3792vjxo3q1auXPXk2d+5cjRo1SsOHD9fevXu1atUqVa9e3bSPqVOnqm/fvtqzZ4+6dOmiAQMG6Pz58/ZzLl++vD799FP99ttvmjx5sp599ll9+umnpn1888032r9/v9avX6/Vq1fr0qVL6tatm+rVq6fdu3frxRdfdGqhdfLkSbVu3Vq33Xabdu7cqaioKJ06dUp9+/bN8Xz37NmjuLg4NW7c2OmxjRs3qnTp0qpZs6aGDRum06dP2x/btWuXbDabOnbsaF9XtmxZ1a1bV1u2bJEkbd26VUFBQWrWrJl9zO23366goCD7mJzMmjVLLVu21M8//6y7775bAwcO1IMPPqgHHnhAu3fvVvXq1fXggw/an5es5Jq3t7c++OAD/fLLL/Z9rVq1St26dZObm5vefPNNrVq1Sp9++qkOHDigxYsXq3LlyqZjN23aVJs3b75qfDfK+eNBAAAAAAC4CKdEjLv584aBPh5Ksv3TLuMSiRgAACRJf/zxhwzDUO3atXM1vn///qYEzOHDh+3fW61WBQUFyWKxKCwsLMd9bNiwQdu3b9f+/fvtVR9Vq1a1P16uXDlTAufRRx9VVFSUli9fbnpz/2pmz56tIUOG6OGHH5YkTZs2TRs2bHCqisly8uRJpaWlqVevXqpUqZIkqV69evbHp02bprFjx+rxxx+3r2vSpIlpH4MHD1a/fv0kSdOnT9ecOXO0fft2derUSZ6enpo6dap9bJUqVbRlyxZ9+umnpoSJn5+f3n//fVmtVknSvHnzZLFY9N5778nb21u33HKL/v77bw0bNsy+zdy5c9WwYUNNnz7dvm7BggWqUKGCDh48aL/GV4qJiZG7u7tKly5tWt+5c2f16dNHlSpV0uHDhzVp0iTddddd2rVrl7y8vBQbGyur1aoSJUqYKrHKlCmj2NhYSZnzDTnuV8pMMmaNyUmXLl00YsQISdLkyZM1d+5cNWnSRH369JEkjR8/Xs2bN9epU6cUFhamvn37Kj4+XufOnVP79u1Vt25d+75WrVqlmTNnSpKOHj2qGjVq6I477pDFYrE/x1cqV66cYmJirhrfjSIRAwAAAABwWY5zxFg9zImYAG9Pnbr4T+uXi0m0JgMAFJ6EhARJMs2R8tRTT2nMmDHy8DC/NZtVfeDj42NfN2rUKA0bNsxeMZIl603jK8cOHjw4T7FlVRZca46XLNlVUORVdHS0ypcvn22CQMps4/Xyyy/rk08+0d9//62UlBSlpKRkW7GTk/379+s///mPaV3z5s313XffZTu+fv36ateunerVq6fIyEh17NhRvXv3VokSJXT69GmdOHFC7dq1u+oxIyIi7N/7+fkpICDAVE0yb948vf/++zpy5IiSkpKUmpqq2267zbSPevXq2ZMwknTgwAFFRETI29vbvq5p06ambXbt2qXvvvtO/v7+TjH9+eef2V7npKQkeXl5OT3v9913n/37unXrqnHjxqpUqZL+97//qVevXjmeu2EYpn1l93pyHJOdK69hmTJlJJkTYlnrTp8+rbCwMFP7tyvt379fx48fV/v27SVl3hcdOnRQrVq11KlTJ3Xt2tVU1SNl3keXL1++anw3itZkAAAAAACXda2KGMd5YqiIAQAUJj8/P/n5+ZnehLZarfLz85OXl1e2Y93c/vm/zNPTU35+fqY34682Ni9q1Kghi8WS60nK85IMycmViaPsvP7665o1a5aefvppffvtt4qOjlZkZGSBTl7v7u6u9evXa+3atbrllls0Z84c1apVS4cPH75mvFkcr73FYrFXjXz66ad64oknNGTIEK1bt07R0dF66KGHnM7J8fpml7y4cq4hKbPtWbdu3RQdHW36OnTokFq1apVtrKGhobp8+fI1r2l4eLgqVaqkQ4cOSZLCwsKUmpqqCxcumMadPn3aniQJCwvTqVOnnPZ15swZ+5icXHkN7W1ms1l3ZTVOdlatWqUOHTrYn7uGDRvq8OHDevHFF5WUlKS+ffuqd+/epm3Onz+vUqVKXXW/N4pEDAAAAADAZdnSzW9IeHqY37AI9Da/MXIxmYoYAAAkKSQkRJGRkXr77bdNE9NniYuLy9P+rFar0tPTrzomIiJCx48f18GDB7N9fPPmzerRo4ceeOAB1a9fX1WrVrUnAnKrTp062rZtm2md47Iji8Wili1baurUqfr5559ltVq1cuVKBQQEqHLlyvrmm2/yFMOVNm/erBYtWmjkyJFq0KCBqlevrj///POa29WuXVt79uxRSso/lb2Ok9U3bNhQ+/btU+XKlVW9enXTV06Js6xKnN9+++2qxz937pyOHTum8PBwSVKjRo3k6emp9evX28ecPHlSv/76q1q0aCEps/IoPj5e27dvt4/56aefFB8fbx9T0L788kt1797dtC4wMFD33Xef3nvvPX3yySf6/PPP7XP4SNKvv/6qBg0aFGhcJGIAAAAAAC4r7xUxJGIAAMjyzjvvKD09XU2bNtXnn3+uQ4cOaf/+/XrzzTfVvHnzPO2rcuXKSkhI0DfffKOzZ89m2+qpdevWatWqle69916tX79ehw8f1tq1axUVFSVJql69utavX68tW7Zo//79GjFixDXnFnH0+OOPa8GCBVqwYIEOHjyo559/Xvv27ctx/E8//aTp06dr586dOnr0qFasWKEzZ86oTp06kqQpU6bo9ddf15tvvqlDhw5p9+7dmjNnTq7jqV69unbu3Kmvv/5aBw8e1KRJk7Rjx45rbte/f39lZGRo+PDh2r9/v77++mv7vCdZ1SGjRo3S+fPn1a9fP23fvl1//fWX1q1bpyFDhuSYFCtVqpQaNmyoH374wb4uISFB48aN09atWxUTE6ONGzeqW7duCg0N1T333CNJCgoK0tChQzV27Fh988032rNnjx588EHVq1fP3gasTp066tSpk4YNG6Zt27Zp27ZtGjZsmLp27apatWrl+ppdr9OnT2vHjh3q2rWrfd2sWbO0bNky/f777zp48KCWL1+usLAwBQcH28ds3rzZqV1ZfiMRAwAAAABwWakObzJ4OiRiAn0cKmKSaE0GAECWKlWqaPfu3Wrbtq3Gjh2runXrqkOHDvrmm280d+7cPO2rRYsW+s9//qP77rtPpUqV0quvvprtuM8//1xNmjRRv379dMstt+jpp5+2Jw0mTZqkhg0bKjIyUm3atFFYWJh69uyZpzjuu+8+TZ48WePHj1ejRo105MgRPfLIIzmODwwM1Pfff68uXbqoZs2amjhxol5//XV17txZkjRo0CDNnj1b77zzjm699VZ17do1T1U6//nPf9SrVy/dd999atasmc6dO6eRI0dec7vAwEB99dVXio6O1m233abnnntOkydPliR7q7qyZcvqxx9/VHp6uiIjI1W3bl09/vjjCgoKMrWtczR8+HAtWbLEvuzu7q69e/eqR48eqlmzpgYNGqSaNWtq69atCggIsI+bNWuWevbsqfvvv1+dOnWSj4+PvvrqK9McRkuWLFG9evXUsWNHdezYUREREfroo49yfb1uxFdffaVmzZqpdOnS9nX+/v565ZVX1LhxYzVp0kQxMTFas2aN/fps3bpV8fHxTu3K8pvFcGwsh2xdvHhRQUFBio+PV2BgYFGHU2zYbDatWbNGXbp0yXMfSgAFi/sTcA3cq4Dr4H4tnj7dcUxPf77Hvly/fJC+HH2HfXnG2v16d9Nf9uWet5XV7PsLtvUEihfuXcB1uPL9mpycrMOHD6tKlSpO87kA+WXJkiV66KGHFB8fn+v5a7KTnJysWrVqadmyZXmufJIy52m5ePGiAgMDr5rwKWzdu3fXHXfcoaeffjrX2/Tp00cNGjTQs88+m+OYq93fuc0beOT4CAAAAAAAxVxKukNrMg+HihinOWKoiAEAAK7hww8/VNWqVVWuXDn98ssvGj9+vPr27XtDSRgps6Lmww8/1NmzZ/Mp0uLhjjvuUL9+/XI9PiUlRfXr19cTTzxRgFFlIhEDAAAAAHBZNoc5YpxakzFHDAAAcFGxsbGaPHmyYmNjFR4erj59+uill17Kl323bt06X/ZTnOSlEkaSvLy8NHHixAKKxoxEDAAAAADAZaVeqyKGOWIAAICLevrpp/OcXEDxVHwauAEAAAAAkEep16iICaAiBgAAAEWMRAwAAAAAwGXZrlER42s1J2Iu29ILPCYAwL+XYRhFHQKAfJYf9zWJGAAAAACAy3KsiPFyqIjx8XQ3LSelkogBAOQ/d/fM/29SU1OLOBIA+e3y5cuSJE9Pz2uMzBlzxAAAAAAAXJbjHDGOrcl8reZETEpahtIzDLm7WQo8NgDAv4eHh4d8fX115swZeXp6ys2Nz7/j5pWRkaHU1FQlJyff1K91wzB0+fJlnT59WsHBwfaE6/UgEQMAAAAAcFmOFTGOrcl8rM5/MCfb0uXnxZ/DAID8Y7FYFB4ersOHD+vIkSNFHQ5QoAzDUFJSknx8fGSx3PwfbgkODlZYWNgN7YPfPAEAAAAALssxEeNYEePYmkySLqeSiAEA5D+r1aoaNWrQngw3PZvNpu+//16tWrW6oXZdrsDT0/OGKmGy8JsnAAAAAMBl2dKvXhHja3X+szfZxjwxAICC4ebmJm9v76IOAyhQ7u7uSktLk7e3902fiMkvN28DNwAAAADATc9xjhjHRIyXh/OfvZdTScQAAACg8JCIAQAAAAC4LKc5YtzNfcrd3CxO7ckup6YVeFwAAABAFhIxAAAAAACXlZpumJYdK2IkycdqTsQk0ZoMAAAAhYhEDAAAAADAZaWmmZMqVvdsEjEOFTFJtCYDAABAISIRAwAAAABwWTaHihjPbCpifKmIAQAAQBEiEQMAAAAAcFnOc8RcuzXZZSpiAAAAUIhIxAAAAAAAXJZTIia7OWIcWpMlUxEDAACAQkQiBgAAAADgsmzpVMQAAACgeCMRAwAAAABwWSm5qIhxnCOGRAwAAAAKE4kYAAAAAIDLcqyI8cymIsab1mQAAAAoQiRiAAAAAAAuK9WxNVmuKmLSCjQmAAAA4EokYgAAAAAALis17doVMb5WD9NyUmqG0xgAAACgoJCIAQAAAAC4LMfWZF7ZVMQ4tiZLslERAwAAgMJDIgYAAAAA4JIyMgzZ0g3Tuty1JmOOGAAAABQeEjEAAAAAAJdky3BuMZZdazIfx4oYEjEAAAAoRCRiAAAAAAAuyXF+GCn7ihgfq2NrMhIxAAAAKDwkYgAAAAAALim7RIynu8VpHRUxAAAAKEokYgAAAAAALslxfhhJ8nJ3d1rHHDEAAAAoSiRiAAAAAAAu6XpbkyXTmgwAAACFiEQMAAAAAMAlpaY7J1Ry05qMihgAAAAUJhIxAAAAAACXlJpmbk3mZpE83J3/zPW1epiWk2zpyshwbmsGAAAAFAQSMQAAAAAAl5Sabm5Nll1bMsm5IkaSUrJpawYAAAAUBBIxAAAAAACXZHNIxHhmUw0jOc8RI0mXU9MKJCYAAADAEYkYAAAAAIBLSnWoavHKqSImm0RMko15YgAAAFA4SMQAAAAAAFySYyImx4qYbFqTJaWSiAEAAEDhIBEDAAAAAHBJuZ0jxt3N4vQYFTEAAAAoLCRiAAAAAAAuybEixppDRYwk+Tq0J7tMRQwAAAAKCYkYAAAAAIBLsqXnrjWZJPk6tCejNRkAAAAKC4kYAAAAAIBLcqqIyaE1mSR5O1TE0JoMAAAAhYVEDAAAAADAJTnNEUNrMgAAABRDJGIAAAAAAC4pLxUxPo6tyaiIAQAAQCEhEQMAAAAAcElOFTFXS8RYPUzLSalpBRITAAAA4KhIEzFz585VRESEAgMDFRgYqObNm2vt2rX2xw3D0JQpU1S2bFn5+PioTZs22rdvn2kfKSkpevTRRxUaGio/Pz91795dx48fN425cOGCBg4cqKCgIAUFBWngwIGKi4srjFMEAAAAABQQW5phWvZ0t+Q41sfT/OdvUmpGDiMBAACA/FWkiZjy5cvr5Zdf1s6dO7Vz507ddddd6tGjhz3Z8uqrr+q///2v3nrrLe3YsUNhYWHq0KGDLl26ZN/HmDFjtHLlSi1btkw//PCDEhIS1LVrV6Wn/1Nm3r9/f0VHRysqKkpRUVGKjo7WwIEDC/18AQAAAAD5JzXd3F7M6uGew0jJ16Ei5rKNihgAAAAUDo9rDyk43bp1My2/9NJLmjt3rrZt26ZbbrlFs2fP1nPPPadevXpJkj744AOVKVNGS5cu1YgRIxQfH6/58+fro48+Uvv27SVJixcvVoUKFbRhwwZFRkZq//79ioqK0rZt29SsWTNJ0nvvvafmzZvrwIEDqlWrVuGeNAAAAAAgXzjOEXPVihirwxwxqcwRAwAAgMJRpImYK6Wnp2v58uVKTExU8+bNdfjwYcXGxqpjx472MV5eXmrdurW2bNmiESNGaNeuXbLZbKYxZcuWVd26dbVlyxZFRkZq69atCgoKsidhJOn2229XUFCQtmzZkmMiJiUlRSkpKfblixcvSpJsNptsNlt+n77LyroWXBOg+OH+BFwD9yrgOrhfi59kmzmZ4umW8/Pj5ZCkSUzhb7t/C+5dwHVwvwKugXv1H7m9BkWeiNm7d6+aN2+u5ORk+fv7a+XKlbrlllu0ZcsWSVKZMmVM48uUKaMjR45IkmJjY2W1WlWiRAmnMbGxsfYxpUuXdjpu6dKl7WOyM2PGDE2dOtVp/bp16+Tr65u3k/wXWL9+fVGHACAH3J+Aa+BeBVwH92vx8edfbrqy4/aJ48e0Zs2RbMf+fdQ89q8jx7VmzdECjhDFCfcu4Dq4XwHXwL0qXb58OVfjijwRU6tWLUVHRysuLk6ff/65Bg0apE2bNtkft1jMn1oyDMNpnSPHMdmNv9Z+JkyYoCeffNK+fPHiRVWoUEEdO3ZUYGDgNc/r38Jms2n9+vXq0KGDPD09izocAFfg/gRcA/cq4Dq4X4ufjSt+lU6fsC/XqFpFXTpn3/Xg6Ka/tO7vP+zLwaGl1aVLwwKPEUWPexdwHdyvgGvgXv1HVietaynyRIzValX16tUlSY0bN9aOHTv0xhtvaPz48ZIyK1rCw8Pt40+fPm2vkgkLC1NqaqouXLhgqoo5ffq0WrRoYR9z6tQpp+OeOXPGqdrmSl5eXvLy8nJa7+np+a9/cWWH6wIUX9yfgGvgXgVcB/dr8ZFuniJG3laPHJ8bfx+raTnZZvA8/stw7wKug/sVcA3cq8r1+btde0jhMgxDKSkpqlKlisLCwkzlTampqdq0aZM9ydKoUSN5enqaxpw8eVK//vqrfUzz5s0VHx+v7du328f89NNPio+Pt48BAAAAALie1DRzJsbqkfOfuD6e7qblJIf5ZQAAAICCUqQVMc8++6w6d+6sChUq6NKlS1q2bJk2btyoqKgoWSwWjRkzRtOnT1eNGjVUo0YNTZ8+Xb6+vurfv78kKSgoSEOHDtXYsWNVsmRJhYSEaNy4capXr57at28vSapTp446deqkYcOG6d1335UkDR8+XF27dlWtWtmXrAMAAAAAij+bQ0mMp/tVEjFWh0RMKokYAAAAFI4iTcScOnVKAwcO1MmTJxUUFKSIiAhFRUWpQ4cOkqSnn35aSUlJGjlypC5cuKBmzZpp3bp1CggIsO9j1qxZ8vDwUN++fZWUlKR27dpp0aJFcnf/55fsJUuW6LHHHlPHjh0lSd27d9dbb71VuCcLAAAAAMhXqQ6JGK+rVMT4Ws1//l62pRVITAAAAICjIk3EzJ8//6qPWywWTZkyRVOmTMlxjLe3t+bMmaM5c+bkOCYkJESLFy++3jABAAAAAMVQSloeKmIcW5OlZuQwEgAAAMhfxW6OGAAAAAAAcsOxNdlV54hxak1GRQwAAAAKB4kYAAAAAIBLSnWoiLHmpSLGli7DMAokLgAAAOBKJGIAAAAAAC7JsSLG86pzxJgTMRmGc2szAAAAoCCQiAEAAAAAuKQ8VcQ4JGIkKdmWnu8xAQAAAI5IxAAAAAAAXJJTIsbDkuPY7BIxl1NJxAAAAKDgkYgBAAAAALik1HTzHC9Wd+dkSxbHOWIkEjEAAAAoHCRiAAAAAAAuKTXNnEixXmWOGE93N3m6mytmaE0GAACAwkAiBgAAAADgkmwOFTGOiRZHjlUxVMQAAACgMJCIAQAAAAC4pNR0xzlirv4nruM8MUlUxAAAAKAQkIgBAAAAALic9AxD6RmOc8Rc/U9cX6uHaTkpNS3f4wIAAAAckYgBAAAAALgcm0M1jHTtihhvTypiAAAAUPhIxAAAAAAAXE5KWt4TMb5W5ogBAABA4SMRAwAAAABwOanZJGI8r9mazKEihkQMAAAACgGJGAAAAACAy8mX1mQkYgAAAFAISMQAAAAAAFxOdhUx1jxWxFxmjhgAAAAUAhIxAAAAAACXk21FzDUSMT5UxAAAAKAIkIgBAAAAALicFIeKGA83i9zcLFfdxoc5YgAAAFAESMQAAAAAAFxOqkNFjOc1qmGkbCpiaE0GAACAQkAiBgAAAADgcmwOFTFWj2v/ees0RwwVMQAAACgEJGIAAAAAAC7HsSImN4kYH6uHaTnJlpavMQEAAADZIREDAAAAAHA5NsdEzPW0JqMiBgAAAIWARAwAAAAAwOWk0poMAAAALoJEDAAAAADA5aQ4JGI83S3X3MbboSIm2UYiBgAAAAWPRAwAAAAAwOXY0g3TMhUxAAAAKK5IxAAAAAAAXI5Ta7LczBFjZY4YAAAAFD4SMQAAAAAAl5OaZk6ieOYmEePQmiyJ1mQAAAAoBCRiAAAAAAAuJz9ak6VlGE6VNQAAAEB+IxEDAAAAAHA5qek33ppMoioGAAAABY9EDAAAAADA5TjNEZObihhPD6d1zBMDAACAgkYiBgAAAADgcpwqYnKRiPG2Oo+hIgYAAAAFjUQMAAAAAMDlOFbEeOaiNZnV3U3ubhbTusupafkaFwAAAOCIRAwAAAAAwOXYrqMixmKxyMfTPE8MrckAAABQ0EjEAAAAAABcjtMcMbmoiJEkH6tDIobWZAAAAChgJGIAAAAAAC7neuaIkSRfh0TMZSpiAAAAUMBIxAAAAAAAXM51V8Q4tCZLpiIGAAAABYxEDAAAAADA5TgmYjyvszUZFTEAAAAoaCRiAAAAAAAux3adrckcK2KSSMQAAACggJGIAQAAAAC4nPyaIyaJ1mQAAAAoYCRiAAAAAAAux5ZmmJat7pZcbeft6diaLC3fYgIAAACyQyIGAAAAAOByUvKrIiY1I4eRAAAAQP4gEQMAAAAAcDmpaeYEiqd7bhMxHqblJBsVMQAAAChYJGIAAAAAAC7Hdp0VMY6tyZJSmSMGAAAABYtEDAAAAADA5ThWxFhzXRHjOEcMiRgAAAAULBIxAAAAAACX49SaLJcVMT6OFTE2EjEAAAAoWCRiAAAAAAAux7E1mVcuK2L8vc1zxFxMZo4YAAAAFCwSMQAAAAAAl3O9FTHBPp6m5fjLqfkWEwAAAJAdEjEAAAAAAJeTmn59c8QE+1pNyxcu2/ItJgAAACA7JGIAAAAAAC7FMAznREwuK2JK+JkrYi4m25SeYeRbbAAAAIAjEjEAAAAAAJeSlmHIcMideOa2IsbHXBFjGNLFJKpiAAAAUHBIxAAAAAAAXIrNoRpGkrxyO0eMr6fTugvMEwMAAIACRCIGAAAAAOBSUtOcEzG5rYjx9nSXj6e7aR3zxAAAAKAgkYgBAAAAALgUx/lhpNzPESM5V8XEJ1ERAwAAgIJDIgYAAAAA4FKyq4jJWyLGPE/MhUQqYgAAAFBwSMQAAAAAAFxK9q3JLLnevoRDRQxzxAAAAKAgkYgBAAAAALgUW7rhtM6ayzlipOxak1ERAwAAgIJDIgYAAAAA4FIcK2Ks7m6yWHJfEePUmoyKGAAAABQgEjEAAAAAAJeSmm5OxOSlLZmUXWsyKmIAAABQcEjEAAAAAABcilNFjEfe/rQN9jFXxMSTiAEAAEABIhEDAAAAAHApzhUxeUzEOFXE0JoMAAAABYdEDAAAAADApdhusCKmhMMcMXFUxAAAAKAAkYgBAAAAALgUx4qYPLcmoyIGAAAAhYhEDAAAAADApTjNEZPn1mTmipjLqelKSUu/4bgAAACA7JCIAQAAAAC4lButiCnhUBEjSfG0JwMAAEABIREDAAAAAHApjhUxnnmsiAnycU7EXCARAwAAgAJCIgYAAAAA4FJsjhUxeUzEeLi7KcDbw7QujnliAAAAUEBIxAAAAAAAXIrTHDF5bE0mSSUc5omhIgYAAAAFhUQMAAAAAMCl3GhrMkkKdpgnhooYAAAAFJQiTcTMmDFDTZo0UUBAgEqXLq2ePXvqwIEDpjGDBw+WxWIxfd1+++2mMSkpKXr00UcVGhoqPz8/de/eXcePHzeNuXDhggYOHKigoCAFBQVp4MCBiouLK+hTBAAAAADkM8fWZF7XURET7FARE5dERQwAAAAKRpEmYjZt2qRRo0Zp27ZtWr9+vdLS0tSxY0clJiaaxnXq1EknT560f61Zs8b0+JgxY7Ry5UotW7ZMP/zwgxISEtS1a1elp6fbx/Tv31/R0dGKiopSVFSUoqOjNXDgwEI5TwAAAMBVZWQYWrH7uN7+7g+duphc1OEAkqSUdMeKGEue91HCoSLmAhUxAAAAKCAe1x5ScKKiokzLCxcuVOnSpbVr1y61atXKvt7Ly0thYWHZ7iM+Pl7z58/XRx99pPbt20uSFi9erAoVKmjDhg2KjIzU/v37FRUVpW3btqlZs2aSpPfee0/NmzfXgQMHVKtWrQI6QwAAAMC1zf7mkN785pAkaeGPMfphfFt5e7oXcVT4t7OlGabl65kjJtjHoTVZIhUxAAAAKBhFmohxFB8fL0kKCQkxrd+4caNKly6t4OBgtW7dWi+99JJKly4tSdq1a5dsNps6duxoH1+2bFnVrVtXW7ZsUWRkpLZu3aqgoCB7EkaSbr/9dgUFBWnLli3ZJmJSUlKUkpJiX7548aIkyWazyWbjF/QsWdeCawIUP9yfgGvgXkVx98XP/7T8PZuQou/2x6p9ndJFGFHR4X4tPpIdngMPt7w/L4He5oTi+cQUntubFPcu4Dq4XwHXwL36j9xeg2KTiDEMQ08++aTuuOMO1a1b176+c+fO6tOnjypVqqTDhw9r0qRJuuuuu7Rr1y55eXkpNjZWVqtVJUqUMO2vTJkyio2NlSTFxsbaEzdXKl26tH2MoxkzZmjq1KlO69etWydfX98bOdWb0vr164s6BAA54P4EXAP3Koojw5BOXnCX9E/bp3Vbdin1sJHzRv8C3K9F78/Dbrqy0/bfR49qzZqYPO3jxEmLpH+SMX8dP+XUBhs3F+5dwHVwvwKugXtVunz5cq7GFZtEzOjRo7Vnzx798MMPpvX33Xef/fu6deuqcePGqlSpkv73v/+pV69eOe7PMAxZLP/8wXjl9zmNudKECRP05JNP2pcvXryoChUqqGPHjgoMDMz1ed3sbDab1q9frw4dOsjT0/PaGwAoNNyfgGvgXkVxdinZJtu270zrSpStqi6d/52tfblfi49vP9srnTlpX65Zvaq6RNbM0z5sv5zU5zF77ctuPv7q0qVlvsWI4oN7F3Ad3K+Aa+Be/UdWJ61rKRaJmEcffVSrVq3S999/r/Lly191bHh4uCpVqqRDhzL7VIeFhSk1NVUXLlwwVcWcPn1aLVq0sI85deqU077OnDmjMmXKZHscLy8veXl5Oa339PT817+4ssN1AYov7k/ANXCvojiKi0txWhd7KeVf/1rlfi16aRnmZW+rR56fk9AAb9NyfFIaz+tNjnsXcB3cr4Br4F5Vrs8/7zMa5iPDMDR69GitWLFC3377rapUqXLNbc6dO6djx44pPDxcktSoUSN5enqayqBOnjypX3/91Z6Iad68ueLj47V9+3b7mJ9++knx8fH2MQAAAADMzlxyTsT8fSGpCCIBzFLTzZkYq3ve/7Qt4Ws1Lcddtskw/t1t9wAAAFAwirQiZtSoUVq6dKm+/PJLBQQE2OdrCQoKko+PjxISEjRlyhTde++9Cg8PV0xMjJ599lmFhobqnnvusY8dOnSoxo4dq5IlSyokJETjxo1TvXr11L59e0lSnTp11KlTJw0bNkzvvvuuJGn48OHq2rWratX6d7ZVAAAAAK7lbEKq07q/45KLIBLALNWhJMbqkfdETLCv+dOLqekZupyaLj+vYtE4AgAAADeRIq2ImTt3ruLj49WmTRuFh4fbvz755BNJkru7u/bu3asePXqoZs2aGjRokGrWrKmtW7cqICDAvp9Zs2apZ8+e6tu3r1q2bClfX1999dVXcnf/Z+LFJUuWqF69eurYsaM6duyoiIgIffTRR4V+zgAAAICrOHPJOelyNiFFybb0IogG+IdjIsbzOipigh0qYiQpLsl23TEBAAAAOSnSj/pcq+zbx8dHX3/99TX34+3trTlz5mjOnDk5jgkJCdHixYvzHCMAAADwb5VdRYwkxcYnq3KoXyFHA/zD5tia7DoqYgK9PeTuZlF6xj9/l15ITFW5YJ8bjg8AAAC4UpFWxAAAAAAovrKbI0aSTsQxTwyKltMcMdeRiLFYLAryMbcni7tMRQwAAADyH4kYAAAAANk6m5B9IuY4iRgUMac5Yq6jNZnkPE9MXFL2VWAAAADAjSARAwAAACBbZ3JIxFARg6KWHxUxklTCYZ6YC1TEAAAAoACQiAEAAACQrbO0JkMx5VgR43m9FTGOrckSqYgBAABA/iMRAwAAAMCJYRg6m5D9m9In4pILORrALMUhEePteb2tycwVMXFJVMQAAAAg/5GIAQAAAODkYlKaU/unLFTEoKil2NJNy14e7te1nxIOc8RcuExFDAAAAPIfiRgAAAAATs4k5Fz18ndckgzDKMRoADPHihiv65wjJtghERPHHDEAAAAoACRiAAAAADg5cynnyoCUtAydYy4NFBHDMJwTMfnVmoyKGAAAABQAEjEAAAAAnJxJSLnq47QnQ1HJrmXe9bYmoyIGAAAAhYFEDAAAAAAnZy+RiEHx5FgNI11/a7ISDhUxzBEDAACAgkAiBgAAAICTa1XE/B2X8xwyQEFKseVfIsaxIiY+yaaMDOY/AgAAQP4iEQMAAADAybUqYv6+QEUMikZKWrrTOi/P621NZq6IyTCkS8lp17UvAAAAICckYgAAAAA4cayIsbqb/3SgNRmKSv62JvN0Wkd7MgAAAOQ3EjEAAAAAnJx1SMTUCQ8wLZ+IJxGDouHYmszNInm4Wa5rXz6e7rI6JHHikmzXHRsAAACQHRIxAAAAAJyccWhNVr9CsGmZihgUFcfWZF4e7rJYri8RY7FYFOxjroqhIgYAAAD5jUQMAAAAAJOMDEPnEsxvRtcvH2xaPpuQqmSb81wdQEFzbE3m5Xljf9aWcJgnJo5EDAAAAPIZiRgAAAAAJnFJNqVlGKZ19SsEOY2jKgZFwSkRc53zw2QJdpgnJu4yrckAAACQv0jEAAAAADBxnB9GkiqV9FOgt4dp3Ym45MIKCbBLsTm3JrsRjomYCyRiAAAAkM9IxAAAAAAwcZwfpoSvpzzd3VSuhK9pPRUxKAr5XRFDazIAAAAUNBIxAAAAAEwcK2JC/b0kSeWCvU3r/yYRgyKQ33PElArwMi1T6QUAAID8RiIGAAAAgIljRUzWG9Vlg31M60nEoCikpOVva7IKDpVexy9cvqH9AQAAAI5IxAAAAAAwOZNDRYxjIobWZCgKKbb8bU1WPsT8uj56/rIMw7ihfQIAAABXIhEDAAAAwCSniphyJGJQDOT3HDGOFTGXU9N1PpF5YgAAAJB/SMQAAAAAMDmbYH4TOseKmPhkZWRQOYDCld+tycKDvOXhZjGtO3qe9mQAAADIPyRiAAAAAJg4VsSE+lslOVfEpKZl6GyieSxQ0JwqYjxv7M9aD3c3pyTjsQtUewEAACD/kIgBAAAAYHI2IfvWZKUCvJwqB07EJRdaXIDkPEeM9w1WxEhSxRBze7JjVMQAAAAgH5GIAQAAAGCXnmHoXIJjRUxmIsbdzeJUOXD8Am9Yo3A5tSa7wYoYSaoQ4lARQyIGAAAA+YhEDAAAAAC7C5dT5TjtS+n/q4iRpPIlHBMxtHBC4XJqTeZx43/Wli/hUBFDghEAAAD5iEQMAAAAADvH+WEsFinEz2pfdpwnhooYFDbnREz+tyY7SkUMAAAA8hGJGAAAAAB2jvPDhPha5eH+z58NjpUDf1MRg0KWYnNoTZYPFTEVHBIxJ+KSlZaekcNoAAAAIG9IxAAAAACwc6yIyZofJgutyVDUnCpi8mGOGMeKmPQMQyfjk294vwAAAIBEIgYAAADAFRwrYkoFXDsRYxgOk8oABSglzbEi5sZbk5Xw9ZSf1byfY7QnAwAAQD4hEQMAAADAzrkixmpaLueQiEmypet8YmqBxwVkcZ4j5sb/rLVYLE7tyY4x/xEAAADyiUdeN4iJidHmzZsVExOjy5cvq1SpUmrQoIGaN28ub2/vgogRAAAAQCE5EWdux+RYERMW6C13N4vSM/6pgvk7LkklHVqYAQUlxZb/rcmkzHlifo+9ZF8+SkUMAAAA8kmuEzFLly7Vm2++qe3bt6t06dIqV66cfHx8dP78ef3555/y9vbWgAEDNH78eFWqVKkgYwYAAABQADb8dkprfj1pWlc6wPxhKw93N4UHeZvmhjl+IUkR5YMLI0SgQFqTSVKFEg4VMeeZ/wgAAAD5I1eJmIYNG8rNzU2DBw/Wp59+qooVK5oeT0lJ0datW7Vs2TI1btxY77zzjvr06VMgAQMAAKAIpCdLZ7dK7r5SifqSO5XQN5sDsZf0+LKfdeV0LxaL1PHWMk5jywX7OCRiqBxA4SmI1mSSVDHE3HaP1mQAAADIL7lKxLz44ou6++67c3zcy8tLbdq0UZs2bTRt2jQdPnw43wIEAABAMZDwl2RLyPw6/b0U0kjyKlnUUSGfnEtI0dAPdigx1VxpML5TbVUq6ec0vnwJX/10+Lx9+e8LVA6g8DgnYvKpIsZxjhhakwEAACCf5CoRc7UkjKPQ0FCFhoZed0AAAAAoZjJsUuKRzO/dvf+pjgmsIwVUK9rYcMNs6Rl6ZMluU4WLJPVqUE4jWlXNdpvyJcyVA47bAgUpxebQmiwf54i50tmEVF1OTZOvNc9TqwIAAAAmef6Ndffu3dq7d699+csvv1TPnj317LPPKjU1NV+DAwAAQDGQeETKSJM8A6QybSXfcpJhSPG/SfG/F3V0uEFr9p7U9iuqWySpQcVgTe9VTxaLJdttSMSgKCUXUGsyxzliJOaJAQAAQP7I82+sI0aM0MGDByVJf/31l+6//375+vpq+fLlevrpp/M9QAAAABQhI0NK+L+2s/7VJDcPKaShFHRL5rrEmMwxcFk//nHWtBwe5K13BzaSt2fO7Z7KOSViLsu4cnIZoIAYhqHUAmpN5mN1V6i/l2kd7ckAAACQH/KciDl48KBuu+02SdLy5cvVqlUrLV26VIsWLdLnn3+e3/EBAACgKF3+O7MVmbt3ZiVMFv+qkps1s21Zyrmiiw837MJlm2n5viYVVDrA+6rbOFYOJKamKz7JlsNoIP84zg8j5V9FjCRVDDEnGY9dIBEDAACAG5fn31gNw1BGRuYvvxs2bFCXLl0kSRUqVNDZs2evtikAAABciWFICX9mfu9fRbJc8aujxSL5hGd+n3Sy8GNDvom7bG4vXMLXes1twoK85ebQtYz2ZCgM2SZi8mmOGMl5npijVMQAAAAgH+T5N9bGjRtr2rRp+uijj7Rp0ybdfffdkqTDhw+rTJky+R4gAAAAikjyacl2KbMdmV8l58evTMTQlsplOVbEBPt6XnMbT3c3hQWaq2aOUzmAQpCSlu60Lr9ak0nO1V7MEQMAAID8kOdEzOzZs7V7926NHj1azz33nKpXry5J+uyzz9SiRYt8DxAAAABFJKsaxq+S5JbNm/NeJTPXZ6RKqeedH4dLiHNIxOSmIkaSyju8YU1FDApDiq2gW5M5JmJIMAIAAODGeeR24MGDB1WzZk1FRERo7969To+/9tprcnfPv08iAQAAoAilJWXO/WKxZM4Hkx2LW2ZVTOJRKelEZmIGLsUwDKfWZLmpiJGk8iV8tD3mn2USMSgMBT1HTPls5ogxDEMWiyWHLQAAAIBry/VvrA0aNFCdOnU0fvx4bd261elxb29veXrm7o82AAAAFHNZFS6eQZL7VSZupz2ZS0tISVNahvl5y31FjPkNaxIxKAyOrcnc3SzycC+4ipjLqek6n5iaw2gAAAAgd3L9G+u5c+f06quv6ty5c7rnnntUpkwZDR06VKtWrVJycnJBxggAAIDClpWIsYZcfZxXaGZ7svQUKfVCwcdV1DLSpLTEoo4i3zi2JZNyXxFTzikRQwsnFDzHipj8rIaRpPAgH3m4matfjtKeDAAAADco17+1ent7q1u3bnr//fd18uRJrVy5UqVKldIzzzyjkiVLqkePHlqwYIFOnz5dkPECAACgMKRkJWJKXH2cxU3yLpP5fdLJgo2pKBgZUsJh6fxuKfZb6cTazH8TjxR1ZPnCMRHj4WaRv1fuuhc7zhHzNxUxKASOc8TkdyLG3c2issGO7cl4bQMAAODGXNdvrRaLRS1atNDLL7+s3377TdHR0WrVqpUWLVqkChUq6O23387vOAEAAFBYMtKktEuZ33tdoyJGknzKZv6bdOLma0+WcFiK+1W6/Le5EubSHzfFucYlOc8Pk9u5MBxbk11KSVN8knOFDZCfHFuTeXnk/zylju3JYs7ePFVwAAAAKBr58vGhGjVqaOzYsfr+++914sQJdezYMT92CwAAgKKQeiEzyeDhc/X5YbJ4l5LcPKT0ZMkWV+DhFark2Mx/fctLoc2ksPaSm1VKuywlnyra2PLBBYeKmOBczg8jZbZwcszZ0J4MBc2pNZln/lbESFK1Un6m5QOxl/L9GAAAAPh3yfVvrStWrNCDDz6oqKgoNWzYUJ9//nm240qWLKkaNWrkW4AAAAAoZFlzvVxrfpgsN2t7sgzbP9cisLbkXTozOeVXKXNdwl9FF1s+ibvsUBHjk7v5YSTJ6uGmMgHmRN1xWjihgBX0HDGSVDs80LT8e+zFfD8GAAAA/l1y/VvrO++8o6+++kru7u56+eWXNXXq1IKMCwAAAEUlNWt+mFwmYqR/EjEp5/I/nqKSfDqzMsgzIDMBk8W/smSxZJ5ranyRhZcfHOeIyUtFjOTcnox5YlDQUmwF35qsVliAafnw2UQlOxwXAAAAyItcJ2Lc3Nx06623qkOHDurYsaNKlLjGxK0AAABwPYbxTxVIbuaHyeJVMvNfW3zmHDM3g6zWY1lJpizu3v/Mi5N4uHBjymcXHCtifHNfESM5J2KoiEFBc6yI8S6A1mQ1y5gTMRmG9MfphHw/DgAAAP49cv1ba2hoqD788EP7cno6nwgCAAC46aRdykykuHlIHgHXHp/F3Vvy8P2/RM75gouvsBiGlHwm83vHRIwk+VfJ/Pfy31J6SuHFlc8cK2JK5DERU84pEcMcMShYzq3J8r8ixt/LQxVDfE3rfmeeGAAAANyAXCdi3n//fVWtWlWSlJqaqlmzZhVYUAAAACgiKVltyUrIaSb2a8mqirkZ2pOlXpAyUiU3z8xr4chaIvPLyJASjxR+fPnEaY6YPLcmM79ZTUUMClpKmmNrsvyviJGc25MdYJ4YAAAA3IBc/9bq6/vPH1lWq1VNmjQpkIAAAABQhFKvSMTklfUmSsQkn87817t0zgmprKqYxJjMhIwLuuA0R8yNtSY7duGyMjKMG44LyEmKzaEipgBak0lSbYdEDBUxAAAAuBEeed0gOTlZc+bM0XfffafTp08rI8P8i/Du3bvzLTgAAAAUsqz5Yax5mB8mi32emLh/2pu5Kvv8MKVzHuMTntmSLT1ZSoqVfMsWTmz5yLEipkQeK2IqhfiZli8lp2ntr7G6OyL8hmMDslMYrckkqXZYoGmZRAwAAMD/Z+++4xup7/yPv0bVlnu3t/de2GVhF5bOspQQQhqXcCGkcakkHKSScsnlklw6CblfLiG5FAgB0iAJhLDUBbbA7rK99+reZavP74+vZGlGki3Zki3bn+fjsQ9Lo9FoLEtaad76fD5iKNL+dPyBD3yAdevW8Y53vIMLL7wQLd2WFUIIIYQQIjcFPRAIz/gYTEWMzQW2fAj0qkAnryqz+zdcgh7wh9sQOfsJYjQL5E+A7qPgbRqdQUzv0CpiJpfnM6+2yHCQ+sfPHeL6RbVYLPI5QWTeSLUma+ry0tLtpaLQmZXbE0IIIYQQY1vaQcyTTz7JU089xerVq7OxP0IIIYQQYqREqmHsxYOvZnFUQOC0ak82WoOYSDWMowysA1SI5FVFg5hRJhjS6TAHMfnpVcRomsadV83m4w9Hq+IPNHTxzN56rlskVTEi8+IrYrITxEyrcOGwWfDF3N6B+i4uniVBjBBCCCGESF/a71onTpxIUVHRwCsKIYQQQojRxRueD+McRFuyiEh7Mt8onhPTNx+mZuB1HRWqMibQCwF3dvcrwzp7/eimcS5lBelVxABcv6iWOTWFhmU/eu6wzIoRWRE/IyY7rclsVkvc41rakwkhhBBCiMFKO4j5/ve/z+c+9zlOnDiRjf0RQgghhBAjxRcOYgYzHyaiL4hph1Cw31Vzkh4CT7i6JT+FIMZijbZx8zZnb7+ywNyWDNKfEQNgsaiqmFj7znWybl/DoPdNiGSGqzUZwNwa45yYAxLECCGEEEKIQUr7XeuKFSvweDzMmDGDoqIiysvLDf+EEEIIIcQopIeic1EGMx8mwlagBtjroWirs9HE2wJ6UP0O9uKB1wdwhluweUZXe7K2Hp/hvNNmIW+Q1QU3LK5jVrWxeuDHzx1CN5fcCDFEw9WaDGCeaU7M/vrOrN2WEEIIIYQY29Ju/v3ud7+bM2fO8M1vfpOamho0TYZwCiGEEEKMev4uFZ5Y7GBzDW1bzgroOaPak+VVZmb/hksg/I33dMKovEroRFXE6DqMkvfH7aYgZjDVMBFWi8adV83iU49s71u252wnz+5r5JoFKVQWCZGi+CAmO63JAObVGYOYgw3dhEI6FsvoeI4LIYQQQojckXYQs2HDBjZu3MjSpUuzsT9CCCGEEGIk+DvUT3vJ0LcVCWK8o3BOjD8cxNjTmIloL1UBVsiv7kdHaTb2LOPae4ytyUpd6c+HiXXjkgn86LlDHG2Kzsr50XMHWTO/Wr68JTLG6ze1JrNnsTWZqSKm1x/kZGsP0yoLsnabQgghhBBibEr7Xeu8efPo7e3Nxr4IIYQQQoiREgliHBkIYhyROTFtqspmNAl0q5+2wv7Xi6Vp0dk4o6g9WVuGg5hIVUys3Wc6eX5/45C2K0Ss4WxNVlXopLzAWCkm7cmEEEIIIcRgpP2u9b//+7+55557ePHFF2lpaaGzs9PwTwghhBBCjEK+DFbE2AvB6hydc2L8gwhiIDonxtuc2f3Joky2Jot485IJTDdVC/xIZsUM2T/31HPbLzfz5cd30+nxD3yFMWw4W5NpmpZgTkxX1m5PCCGEEEKMXWkHMddddx0bN27k6quvprq6mrKyMsrKyigtLaWsLL3Brt/61re44IILKCoqorq6mptvvpkDBw4Y1tF1na9+9atMmDCB/Px8rrjiCvbs2WNYx+v1cuedd1JZWUlBQQE33XQTp0+fNqzT1tbGbbfdRklJCSUlJdx22220t7en++sLIYQQQow9ug7+8BdqMhHEQLRCZDS1Jwv6IBQOJ9INYvLCQYyvFULB/tfNEfGtyYYexNisFj5xpbEqZufpDl48OHoqhXLNyZYePvrQVl4+1MyDm07w/X8eGPhKY5g3YGpNlsWKGIhvT3ZAghghhBBCCDEIab9rfeGFF3jhhRd4/vnnDf8iy9Lx0ksv8fGPf5xNmzaxbt06AoEAa9euxe2O9pX+zne+ww9+8AN+8pOf8Prrr1NbW8s111xDV1f0DfBdd93FX/7yFx555BFeeeUVuru7ufHGGwkGo2/Sb731VrZv387TTz/N008/zfbt27ntttvS/fWFEEIIIcaeQDfoQdCsYMvQ7APHKAxi+tqS5YMlzW/Z2wrU9fSQCmNGgTZTRcxQW5NFvOW8CUytcBmW/ehZqYoZrJcONhKKueteODC+Qy2v31QRk8UZMYBUxAghhBBCiIywpXuFyy+/PGM3/vTTTxvO/+pXv6K6upqtW7dy2WWXoes69913H1/84hd529veBsBvfvMbampqePjhh/nwhz9MR0cHv/zlL3nwwQdZs2YNAA899BCTJ0/m2Wef5dprr2Xfvn08/fTTbNq0iZUrVwLwwAMPcNFFF3HgwAHmzp2bsd9JCCGEEGLUiVTDOErUvJNMcJrmxGjZPViaEYOZDxPLWQmBU+BtilbI5DBzRUxZhoIYm9XCx6+cxWf/uLNv2fZT7aw/1Mzlc3L/fsk1R5rchvPnOnoJhXQslgw9V0eZ4WxNBjCvtthw/niLm15fkHxHdm9XCCGEEEKMLSkFMSdPnmTKlCkpb/TMmTNMnDgx7Z3p6FC9ycvLywE4duwY9fX1rF27tm8dp9PJ5ZdfzoYNG/jwhz/M1q1b8fv9hnUmTJjAokWL2LBhA9deey0bN26kpKSkL4QBWLVqFSUlJWzYsCFhEOP1evF6vX3nI/Nv/H4/fv/47sscK3JfyH0iRO6R56cQo0NOPFd7mtCCAXTNBRnbjzw03QJBL3pPEzjKM7TdLPK0qfsB5+DuB2spWvAYuM+hu2Znfv8yrK3Hazhf5LRm7HF446JqfvxcPqfbevuW3bfuABdNK0HLVNg3Akbi+XqowViB4Q/qnGnrprY4b9j2IZeYW5NZCWX17zG9PA9NUx0cQf3ce6aNJZMy1MZRDIuc+L9WCJESeb4KMTrIczUq1fsgpSDmggsu4KabbuKOO+7gwgsvTLhOR0cHjz32GD/60Y/48Ic/zJ133pn63qJmwdx9991ccsklLFq0CID6+noAampqDOvW1NRw4sSJvnUcDkfcfJqampq+69fX11NdXR13m9XV1X3rmH3rW9/ia1/7WtzyZ555BpfLleAa49u6detGeheEEEnI81OI0WEkn6tlwf049E46LC14LCcztt3S4GGceivdlnrclgkZ2262lAYP4tTb6bQ00TuI+8Gi+6kKvgFAo7UNXctMhUm2nGuxAtFQ5MjenTxVvyNj27+kTOORtmjVwBunOvjh759mXunob1E2nM/XvaeMfyeAPz71PDOKE68/1vV6jffHls0badiTfP1MqHRaafJEb/OxdRs4XTP6H8fjkbwvFmL0kOerEKODPFehp6cnpfVSCmL27dvHN7/5Ta677jrsdjsrVqxgwoQJ5OXl0dbWxt69e9mzZw8rVqzgu9/9Ltdff33aO/yJT3yCnTt38sorr8RdZv7WnK7rA36TzrxOovX7284XvvAF7r777r7znZ2dTJ48mbVr11JcPE4/9STg9/tZt24d11xzDXZ7bh9sEGK8keenEKNDLjxXtXorhPzoVZeBPYPvc9zH0Dr2gLMKvWLlwOuPMK0xHwJu9IpVqs3YYLbRVAb+TvSy8yG/LsN7mFn3bn0OiFYXXH3pKlZMLUt+hTRdEwzxyn2vcLrd07fskF7L3Tcsy9htDLfhfr72+AK0bYyfwzl5/jJuWJrbj69s0HWdT200fti/6vLLmF0zyHaCKXqmaydP7o75Al/5FG64YWFWb1NkVi78XyuESI08X4UYHeS5GhXppDWQlIKY8vJyvve97/Ff//VfPPXUU7z88sscP36c3t5eKisr+dd//VeuvfbavkqWdN1555389a9/Zf369UyaNKlveW1tLaAqWurqoh80Ghsb+6pkamtr8fl8tLW1GapiGhsbufjii/vWaWhoiLvdpqamuGqbCKfTidPpjFtut9vH/YMrEblfhMhd8vwUYnQYsedqoAc0HWwOyC/L7CyXglroPgDBTrBZc3tOjB4CfGC1QX45WAf5t3BVQ3cPhLrAnnpr3+HmC4Rw+4wtnqqK8zP6GLTb4SNXzOJLj+/uW7b5eBsWqw3rKJ9vMlzP11ONib9dV9/pHZf/t3v8wbhlBfmOrN8X500pMwQxu850jcv7fyyQ98VCjB7yfBVidJDnKin//ml9Gs7Ly+Ntb3sbP/zhD/nLX/7C008/zUMPPcQ999wzqBBG13U+8YlP8Oc//5nnn3+e6dOnGy6fPn06tbW1hhInn8/HSy+91BeynH/++djtdsM6586dY/fu3X3rXHTRRXR0dPDaa6/1rbN582Y6Ojr61hFCCCGEGJf8akYf9qLMByW2IrDYQQ9GbydXBdxq+IPFDtb4L+OkLDILx9eSmf3KkvZeX9yyknxHxm9nzXzjl566PAH2nUvtG2MCjja7Ey4/096bcPlY5w2E4pY5bdYEa2aWeR7MgYauhKGQEEIIIYQQyaRUEZMtH//4x3n44Yd54oknKCoq6pvXUlJSQn5+Ppqmcdddd/HNb36T2bNnM3v2bL75zW/icrm49dZb+9b94Ac/yD333ENFRQXl5eV8+tOfZvHixaxZswaA+fPnc91113HHHXfws5/9DIB/+7d/48Ybb2Tu3Lkj88sLIYQQQuQCXySIycLgaU0DZwX01oO3BRyZa3uVcYFu9dM2xBZHzgr1098JoQBYRvTtdlLtPfEDJUtdmf8mW21JHtMqXBxviVZ2bDrawqKJMug8FUcauxMuP902XoOY+PDDact+pd2iiSVYNAiFx8IEQzp7znZyfgZb+QkhhBBCiLFtRPtD/PSnP6Wjo4MrrriCurq6vn+PPvpo3zqf/exnueuuu/jYxz7GihUrOHPmDM888wxFRUV96/zwhz/k5ptv5pZbbmH16tW4XC7+9re/YbVGvx31u9/9jsWLF7N27VrWrl3LkiVLePDBB4f19xVCCCGEyDmRShVHaXa2HwkmvLldIYI/fMDbPsQgxpoHNpeqrvG1DX2/ssQcxBQ5bdit2flosHJ6heH85mOtWbmdsShZRcy4DWL8CSpi7Nn/SFvgtDGr2vjasPN0e9ZvVwghhBBCjB0j+hU9XdcHXEfTNL761a/y1a9+Nek6eXl53H///dx///1J1ykvL+ehhx4azG4KIYQQQoxdfa3JirOzfUf4ILyvVYUTWo7OBgl0qZ9DrYgB1Z4s0KPCp7yqoW8vC9p6jK3JSrJQDROxamY5j2451Xf+tWOthEI6llE+J2Y4JKuIOdPeOy7vw0StyRxZChDNFk8s5WBD9O+x83SOt1sUQgghhBA5JYcnpgohhBBCiKwKeiDoVeGILUtBjL1YtecKBVS7rlyVqdZkEK0C8uVu5Ue7KYgpc2V+PkyEuSKmo9fP/vqurN3eWBEK6RxtThzE+AIhmru9w7xHI8/cmsxm0bANUxCzdLKxnd4OqYgRQgghhBBpkCBGCCGEEGK8isyHsRWCJUsDrzUt9wfY63q0NVmmKmJAtSbT47/BnwvMrcmyMR8mYkJpPlPKXYZlm4/l6GMhh5zr9OBJ0Ior4tQ4bE9mrojJs2fpdSuBJZNKDeePNrnp9MTPWhJCCCGEECKRQQUxDz74IKtXr2bChAmcOHECgPvuu48nnngiozsnhBBCCCGyqK8tWZYHpzsr1c9cnRMT9IAeDFcGuQZefyD2QrA4VAjjax/69rKgLS6IyV5FDMDK6eWG85uO5uhjIYcka0sWcbqtZ5j2JHd4/MaKGKdt+L5XOL+uCLvV2Apu9xlpTyaEEEIIIVKT9jvXn/70p9x9993ccMMNtLe3EwyqN8OlpaXcd999md4/IYQQQgiRLZEgxpHtICbcmsrboqpPck1fW7IC0DJ0YNcZqYrJzfZk8a3JslcRA7BqhrE9WWROjEjuSFP/QcyZdqmIGc4gxmmzMq/W2MJR5sQIIYQQQohUpf3O9f777+eBBx7gi1/8IlZrtBR8xYoV7Nq1K6M7J4QQQgghsmi4KmLsJeE5MX4I5OBskEzOh4noC59yNYgZ5oqYGcaKmLYePwcbc/CxkEOONrn7vfz0eGxNZmrV5hzG1mQASyYZXyt3ypwYIYQQQgiRorSDmGPHjrFs2bK45U6nE7e7/w8LQgghhBAiRwR9EAgfyM12EBM7J8bbnN3bGoy+IKYoc9t0xFTE5GAVUJupIqY0P7sVMZPKXEwqyzcs23w0N0OqXGGuiCl02gznx2UQExi51mQAS01zYnackooYIYQQQgiRmrTfuU6fPp3t27fHLf/HP/7BggULMrFPQgghhBAi2yLVMLYCVa2SbZE5MZ6m7N9WuvzhA972DFbE5HgVkLkipqwgu0EMwMrpxvZkMiemf+Yg5uKZxvvvzDicETOSrckAlkw2htZn2ntp6fYO6z4IIYQQQojRKe13rp/5zGf4+Mc/zqOPPoqu67z22mt84xvf4N577+Uzn/lMNvZRCCGEEEJkWmSIvKN0eG4vr0r99LaoIfa5JButyTQNHGXqdA62J2vvNVXEZLk1GcAqU3uy1461oudgtVAu6PYGaOg0HuC/bE6V4fzptt5xd//FBzHD25psVlUheXbjR2iZEyOEEEIIIVKR9tcf3//+9xMIBPjsZz9LT08Pt956KxMnTuRHP/oR73rXu7Kxj0IIIYQQItOGaz5MhK0ILA4I+cDXFp2hMtJCfgh61GlbQWa37ShXFUC+FmBaZrc9BLqu02aeEZPl1mQAq2YY/+Ytbh+HG7uZXZPBlnBjxFFTNYxFg0tmVRqWeQMhmrt9VBU5h3PXRpTXb2pNZh/eihib1cKiCSVsOdHWt2zH6XaunFc9rPshhBBCCCFGn0G9c73jjjs4ceIEjY2N1NfXc+rUKT74wQ9met+EEEIIIcRA9BD4u6DnLHQegNZtqbX/Gu4gRtNiqmJyaE5MIDzj0OoES4bDiEjYlGMVMb3+ID5TZUHZMFTETCrLZ2KpcU6MtCdLzNyWbHK5i8nlLuxWzbD89DhrTzbSrckAlpjmxOySihghhBBCCJGCIb1zrayspLpavv0jhBBCCDEiAr1wbh00vAitW6HzIPScgZbXwNNP2BHyQyB8ANcxTEEM5OacmEgQk+lqGAB7KWgWVXETyJ0D5ub5MDA8QYymaaycbmxP9sap9qzf7mh0tMltOD+jsgCrRaOuxBhknWnvHc7dGnEj3ZoMYKlpTsyO0x3jrkWcEEIIIYRIX9qtyZYtW4amaXHLNU0jLy+PWbNm8b73vY8rr7wyIzsohBBCCCGScB9Trb40K9iLwV6kDvh7m1UYU7kKnOXx14vMh7EVZL4KpD/OcEWMv12FQcN528lEApJsBDEWq6o48rWp2Tg2V+ZvYxDaeozzYSwaFOWl/bFgUBZPKuHPb5zpO3+4sbuftccvc0XMzCo1v2hSWT4nW6Oh3um28RbEmFqT5UBFTHO3l3MdHiaYqr2EEEIIIYSIlfY71+uuu46jR49SUFDAlVdeyRVXXEFhYSFHjhzhggsu4Ny5c6xZs4YnnngiG/srhBBCCCEAQkFwn1Sny8+H6kugbClUrlQtwPQgtGwGX4K2OZG2ZMNZDQNgy1eBh66rYCIXBMMHta1ZCkki7cl8udOezFwRU5Jvx2KJ/6JVNsyuNs6DOdzYTSgk1QRm5oqYmdXRICbWuGtN5jdVxAzzjBiAaRWuuOBy37nOYd8PIYQQQggxuqT9zrW5uZl77rmHl19+me9///v84Ac/YP369Xz605/G7XbzzDPP8KUvfYmvf/3r2dhfIYQQQggB0HtGVZXYXJAX0ypWs0D5BaoSJhSA5k3gN1UdDPd8mFi5Nicmm63JABzhiqRcCZ6ID2KGoy1ZxJyaQsP5Hl9w3LXXGkgwpHO02RTEhCtiJpYaA8Mz464iZuRbk2maxrxaY6C4v75r2PdDCCGEEEKMLmkHMY899hjvfve745a/613v4rHHHgPg3e9+NwcOHBj63gkhhBBCiMS6j6mfBdPA3DbWYoWKleAoVa3L2rarKpQI3wgGMZE5Md4cmRPTF8RkqyKmPHo7QW92biNN5tZkJa7haxFXVeSk2FRNIO3JjM609eIzBQ4zqlRQGF8RM96CmJFvTQYw1xTEHJAgRgghhBBCDCDtd655eXls2LAhbvmGDRvIy8sDIBQK4XQ6h753QgghhBAinrcF/J1qNkzBlMTrWGxQcYH66WuDnlNqecgfDR9GMojxd6sh9iNJD0X3wZqlihiLXc3vgZxpT9btDRjOF+cNXxCjaRqza4wHsQ81ykHsWOc6jOFKodNGRYGqWkoUxIynQfHxFTEjE8TMqy02nN9fL63JhBBCCCFE/9KeynnnnXfykY98hK1bt3LBBRegaRqvvfYav/jFL7j33nsB+Oc//8myZcsyvrNCCCGEEIJoNYxrYv8D7615UDwX2vdAxz7Ir4tWw9hcYB2+llR9LHZVqeNrV+3JXJOGfx8iAuH5GhZbdu8LZ7kKzryt6m8wwvymg9mOYT6YPbu6kK0n2vrOH2yQiphY5oqlykIHWrjqbaIpiOn1B2nr8VNeMALP5REQPyNm+FuTAXGtyY42ufEFQsP+XBJCCCGEEKNH2kHMl770JaZPn85PfvITHnzwQQDmzp3LAw88wK233grARz7yET760Y9mdk+FEEIIIQQEesFTr04XTh94/YJp4D4J/i4VxkRmoYxENUyEs0oFMZ6mEQ5iwpVB1iy1JYtwlAPHwZcbc2J8wREOYuIqYiSIidXqNs7wKY2Z4VNbnIfVohEMRatgTrf1jJ8gJkdak80xBTGBkM6Rpm7m1xUnuYYQQgghhBjv0nrnGggE+NrXvsZll13Gxo0baW1tpbW1lY0bN/aFMAD5+fl9bcqEEEIIIUQGuU+oeS/OimjLq/5oFihdHL1uz2l1ekSDmByZExMMV8TYstSWLMJZoX76OyEU6H/dYWCeP+K0Dn9FTKzDDV3jqr3WQMwVMbEhi81qoa7E+DlrPM2JyZXWZMV5diaWGquTpD2ZEEIIIYToT1rvXG02G9/97ncJBoMDryyEEEIIITJLD6kwBVKrholwVqg2ZgBt21WQ4xjJIKZcBURBrwonRkqkIsaW5YoYa566DV1X83pGmLkixj7cQUyNMYhx+4Kc7RjheUE5pNVtDGLKXMZql/g5MT1Z36dcER/EjExrMohvT7a/XmYdCSGEEEKI5NL+1LVmzRpefPHFLOyKEEIIIYTol78TQj41ZyWvNr3rliwANDWXxdcyshUxmkW1JwPorR+5/QgMU0UMhNuTAd6Rb09mrogZ7tZktcV5FDmNHZIPNchB7Ig2t7kixjgHamKpMTg8k2MVMcGQTsAU9mWK129qTWYfuZksc01BzAEJYoQQQgghRD/SnhFz/fXX84UvfIHdu3dz/vnnU1Bg/OB60003ZWznhBBCCCFEDF+7+ukog/Dw7pRZ8yC/Rp32NoNlhGdK5NeCp0HNuymeMzL7EBymGTGgqpJ6ToOvNfu3NYCRDmI0TWNWTSFvnGzvW3a4sZsr5lYP637kKnNrsrKCgSpicieI2XqilY//7g0aujx86JLpfOH6+Vgsab5W9SOurd4ItSYDmGeaB7P/nAQxQgghhBAiubSDmI9+9KMA/OAHP4i7TNM0aVsmhBBCCJEt/nb101E6uOvbS0Czqn+eBhWGjJS8cCjk64BAL9jy+18/03R9ZCpifG2qxZw2cgeQ/SPcmgzUnJjYIOZQQ/ew70Ouau3xG86Xm1qTmWeTnGnPnSDmm0/tp75TtZl74OVj5Dts3H1N5oLWXG5NVt/poaPHT4nLnuQaQgghhBBiPEv7U1coFEr6T0IYIYQQQogsilTEDLatWMCtAhCbC7oOZWy3BsXqVLNiQFXFDLeQNxyIaGAdhhDIXqiqkPRQ9O84QswzYoa7IgZgTo3xIPbBRqkmiDC3Jis1BzGmipizORLE+IMhdp5uNyz78XOH+PvOsxm7DW/A1JpsBCtiplcWYLcaq33214/gzCshhBBCCJHTRu6dqxBCCCGESF0oCIFw1cBgK2L8HeEgpkiFAZ7mTO3d4ETm3IzEnJhATFuydNu8DVYkeBrh9mS50N5pVnWh4fzhhm50XR/2/chF8TNijEHMBFNFTKcnQJfHWEUzEk619uAPxv8NP/2HHew+05GR2/D6TY/dEZwRY7damFVtDBT3y5wYIYQQQgiRRNqtyQDcbjcvvfQSJ0+exOczflD45Cc/mZEdE0IIIYQQMfwdqp2WNU/9S1ckyLHYoWAa9J5RVTF5lRnf1ZTl10LHXvC1QMiv9m24RIIY2zDMh4lwVqjQydsKRQOvni3m9k6OkWhNZqqI6fIGaOj0UlsyiMf2GOILhOjyBgzLyguMz4u6BPfRuQ4PRXkj2xLraJM74XKPP8Qdv93CEx9fTXXx0P6+udSaDFR7sn3nolUwEsQIIYQQQohk0g5i3njjDW644QZ6enpwu92Ul5fT3NyMy+WiurpaghghhBBCiGwY6nyY2CCnZD54zoK3WVXGDHabQ2UrAHsR+LvUzBrXpOG77eGcDxPhiKmI0fXhq8QxiZ8RM/z7MaEkjwKHFbcv2mrqYEPXuA9i2nt8ccvKTK3J8uxWKgsdNHdH1z3T1hvX7m24HWlKPufnXIeHT/z+DR79t1Vog3zch0J6XFu9kWxNBjDXNCfmgLQmE0IIIYQQSaT9zvXf//3fefOb30xrayv5+fls2rSJEydOcP755/O9730vG/sohBBCCCH65sOUDu76/nBrIHsJ2PIhf6I6P9KzYkaqPVkwpjXZcLGXgMWmqn/8I3fA1tyazDECVQWapjHLFBwcakx+IH+8aDUFMZoGJfnxlS7m9mRncmBOTH9BDMBrx1rZdHTwbfnMIQzkRkVMrAP1XYRC0mJPCCGEEELESzuI2b59O/fccw9WqxWr1YrX62Xy5Ml85zvf4d57783GPgohhBBCiEgQM5SKGABHifpZNEv97K0H/wgeAM8PBzGeRjXIfriMREWMpoGjQp32jtx8HvMBbccIVRXMNs+JaZS2Tm1u46yXknw7tgSt4yaagpizORDEmFuTffSKmUwwVTg9tPnEoLdvng8DkDeCM2IA5tUWG867fcGcCMWEEEIIIUTuSfudq91u7ysnr6mp4eTJkwCUlJT0nRZCCCGEEBkU8kdnmthLBrcNX0xFDKiWYJEQxH1saPs3FI5S1S5ND4KnafhudyRmxICaEwPgbRne243hDxi/sT8SrckgPog52CAVMW2mihhzW7IIc0VMLgQx5oqYFVPL+NClMwzL/rm7nsZOz6C27w0E45aNdEVMTbEzrmJJ5sQIIYQQQohE0g5ili1bxpYtWwC48sor+cpXvsLvfvc77rrrLhYvXpzxHRRCCCGEGPciIYrNBdbEB2b7FQpCIHxwMLaipmC6+uk+pcKekdJXFTNM7clC/ujvO5ytyQCcleqnr0XNiRkBuTJnwzzT5FBDF/oI3Se5otVtDmLi25JB7rUma3X7aOsxvobMrCrk7edPMlStBEI6j7x+alC34Q0kaE02whUxmqYlaE8mc2KEEEIIIUS8tN+5fvOb36Surg6Ar3/961RUVPDRj36UxsZGfv7zn2d8B4UQQgghxj1/u/o52LZkgU510N/qVNUnEXmVqjJGD0JPmgdH9ZAKcALugdcdSOycmOE4EB9pS2Z1qpktw8leDBY7hALRdnHDLH5GzMgczJ5lqojp9ARo6vKOyL7kijZTEFNekDh4nVhqbPl1tn1wVSaZYq6GcVgtTCrLpyTfzluWTjRc9vDmkwQSzHsZSKKKGEeCtm3DzRzE7JOKGCGEEEIIkUDa71xXrFjBlVdeCUBVVRVPPfUUnZ2dbNu2jaVLl2Z8B4UQQgghxr3IfBh76SCvb2pLFqswXBXTfTy9EKR9N7Rth8aXo/s3WM4KsDgg5FOzYrItEh4NdzUMhOfElKvTI9SezFxZYB+hg9kTS/PJtxtbS4339mStKbYmm1hqfOzWd3oGFW5kylFTEDOt0tU32+a2i6YaLqvv9PDc/vSf5x7TjBiH1YLFMjJt9WLNqzPOiTkgQYwQQgghhEhg5L9CJIQQQggh+jfUihh/P0FM/kRVoRFwgzfFGS09Z8AdHrod8kPzRvC2Dm7fADQLFExWp92DH+adsr75MAXZv61E8sLtybzNI3Lz/mD8Ae2RYLFozK4xVsUcahzfB7FTrYiZYKqICYZ0GkewmuhIk7EybkZl9O+6aGIJ500uNVz+0Kb0n+fmAHGkWuqZzTVVxBxrduPxx1fvCCGEEEKI8S3td68NDQ3cdtttTJgwAZvNhtVqNfwTQgghhBAZFPRCIDz/IVGQkopIxUqiIMdiA1c4BOk+NvC2/N3QvlOdLpqpqllCAWjeBJ4hBAuuKeqntzH6+2ZLMNyazDYCFTEAjgr109c6InNicqU1GcS3JzvUOL4rYsxzVsqSBDHlBY64IOLsCM6JOWL6u82sNoact60yVsW8fKiZY83ptTU0tyYb6fkwEeZZR8GQnvbvJoQQQgghxr60m2K/733v4+TJk3z5y1+mrq4OTRv5cnAhhBBCiDGrr5qlcHDzTPQQBMJVBsmCnMJp0H1UtQULuJNXioSC0LpVBS/OCiier7bf+jp4mqBlM1ReBM7y9PfTXqi26W1R82qK56S/jVSNdEVM35wYv6p2cpQN6837zBUxIxjEzK42HsQ+1DDOK2LiWpPZE66naRoTS/M5GnPA/0x7LyuyunfJHTUFDzOrjAHbm5bU8fUn99IeEzT9btMJvnTjgpRvI74iJje+BFjotDGxNJ8zMUHYocZu5ptalgkhhBBCiPEt7U/zr7zyCi+//DLnnXdeFnZHCCGEEEIYDHU+jL9TVV1YHGDLT7yOrQDyasDToKpiShclXq9jt9qe1Qnly9W8E80KFRdCyxZ1/c59ULV6cPtaMDUcxJyEotlq+9kQqYgZiRkxoH4vZwX01qvfdxiDmGBIJxgyVuGM5MDz2aaKmIMN3ei6Pm6/7NXqTm1GDMCEBEHMSPAGgpxs7TEsm2EKYvLsVm5ZMZmfrz/at+wPW0/zmevmphyoeP252ZoMVGVX7P1/eJwHikIIIYQQIl7a714nT56MPgItFIQQQgghxqX+2oqlIlJR4xigrVnhdPWz55SqeInbjw5wn1Sny5aDNWZGhWaBsqXqp7c1us/pyq8Lz6vpTX1eTbr0ULT12UhVxIAKYmDY58SY58PAyFbEmNs6dfT6ae72JVl77Et1RgzAxFJjsDpSrclOtvTEhXszquKfW/+6corhfEevn/UHU3/8m1uTjeTj1ixRoCiEEEIIIUSstN+93nfffXz+85/n+PHjWdgdIYQQQghh4G9XPwcbxPRV1AwQxORVqfZgoYCqSDHz1Kuf+XXRYfOxrE51GaQ2ayYRzRKdV+NOf5h3SgLhA6QWu9rnkeIM34feVhUODRNzeycY2QPaE8vyyTPN+hiv7ck8/iBunzFsSDYjBlRFTKyz7Z6s7NdAjjQZ25JVFzkpzotvqTa1ooALphmrvx7ffibl24lrTWbPjdZkEB8oHmocn49hIYQQQgiRXEqtycrKygztAdxuNzNnzsTlcmG3G99kt7a2ZnYPhRBCCCHGq5Afgl512lbU/7rJ9FXElA68buEMaNup5sUUTDe2BvM0qp951f1fv+cM9J6F4ILBBR0FU8Pzahog6DFW3mSCPzIvZ5D3Z6bYilS7uJBP/Y2GqT1ZoooY+wi2JrNaNGZWFbLnbGffskON3Vw8K0HYN8bFzk+JKO+3NZnxuXGmbWQqYo40Gas/ElXDRNx03kReP97Wd/7ZvQ10efwUJQhuzOJnxORORcysGmNFzPGWHnyBUE5V7QghhBBCiJGVUhBz3333ZXk3hBBCCCFEnMhQeWseWFJ42+Zthbbtahh88RywFcYEDwNUxADkT4KO/ap1V+85cE1Qy4O+aGVNf0GMo1QFCr421casePbAt2lmLwRnufpd3KcGt43++MMH/AcbbGVK35yYc+BpHrYgxpdjFTGgqgmMQcz4rCZo6zG2JbNoUJyfPKDIldZk5iBmpmk+TKw3La7ja3/dQyDcyswbCPHMngbefv6kAW/H6zdWC+VUEGNqTRYM6RxvccdVygghhBBCiPErpSDm9ttvz/Z+CCGEEEIIs0gbrVRmmQR6oeV1VWERcKsD/NYCFTw4ysCWwmB6ixUKp0HnQeg+Eg1iIvNa7MUDV6gUTofWNnAfh6KZqt1YugqmhoOYIWwjmb5gqjhz2xysSBDjawEyHDglkTCIGcGKGIg/iH1onM7XMM+HKcm3Y7VoSdZWbd1idXkDdHr8CduCZdNRU2uy/oKY8gIHl8+p4rn9jX3LHt9+JrUgJq4iJndakxXn2aktzqO+M9oe7mBDlwQxQgghhBCiT9qfup566in++c9/xi1/5pln+Mc//pGRnRJCCCGEEEQrYmzJD2wCEApCaziEsReDa6KquHAfh4690UAnFQXTVPDha1dhCKTWliwiv061JAt6VMgwGPkTVOAT9KjfIZMC4cqLkW5NBjFzYlqGbU6ML0FrspEOYsyDzg819v943V/fyeExWDXTaqqI6W8+DEBtSXwoOtxVMbqup9WaDOCm8yYYzr96uJnGrsTzbdzeAFtPtNLp8SeYEZM7FTEAs2skUBRCCCGEEMml/e7185//PMFgMG55KBTi85//fEZ2SgghhBBCkHpFTPt28HWomSMVF0L5cqi5UrX5AhWkRFqLDcTqBFf42+ndR0DX0wtiNIsKcwC6j6V2m4m2UTxXne48BKHA4LZjFgqoyiEY+dZkoMIga54KYbzDM2fRXBFjs2hY+qm6GA7mqoFWt4+Wbm/ceqGQzmf+sIPr7nuZNT9Yz4+ePTRcuzgszBUx/c2HAVURUlVknMM03EFMU7eXLo/x+dlfRQzANQtqcDmi1SwhHZ7cGR/anmnv5fLvvsDbf7qRNd9/iR2n2g2X51JrMoDZ1cbH8eEBAkUhhBBCCDG+pP3u9dChQyxYsCBu+bx58zh8+HBGdkoIIYQQQpBaRUzXYeg5qypgKi4AW7hdka1AVZY4y8HqgtZtqQcahTPUz9566D2rKm0sttTnmBRMDVfVtKUeAJm5JqvfIeSD7qOD24ZZIFxFYc0Da/8HuYdNX1VM07DcnLkiZqTnwwBMLnfF7Ueiqpj7nj3IH7ae7jt///OH4sKL0azV7TecH6giBmCCaU7MmbbhDWKONBrbkjltlrjZNWYuh41rF9Yalj2+/Wzcev/vhcM0d6u/b2OXl5cOGp8judSaDOIrYg42jL2qLSGEEEIIMXhpf/IqKSnh6NH4D8OHDx+moCCF/uVCCCGEECI1/gEqYvxd0LFPnS5drEKXCF1X82EKpqlZJAE3dOxO7XbtRdHql9Y31E9nZeqzWqxO1aIMwH0yteuYaRoUz1Onu49AMAMH3Pvmw+RANUxEXpX6OVxBTCD3ghirRYurojhkOoj9tx1n+fHzxi99BUI6z8fMGhnt2nrSq4gBmFhqbE92pj1xi69sOdpsDMymVxakVGFlbk+241Q7x5qjoU4opPPM3oZ+t5FrFTFzTEHMsWY3/gStAIUQQgghxPiU9rvXm266ibvuuosjR470LTt8+DD33HMPN910U0Z3TgghhBBi3Ap6QA+qQMLmSrxOX8uwKlWFEivgVte3OKHyIrXMfUpVz6QiUhXTuQ9C/tTaksVyTVE/e88Ofv5Jfh04SlQlT1cG2lBFgphcaEsWEamI8XVkJmwagPnAsH2E58NE9DcnZtfpDj79hx0Jr7dugIP1o4k5iEmlIsZcfTLcrcnMFTEzqweYZxV2yaxKKky/319jqmJ2nG6nqSu+PV2stGfE6CH1GujvTO96KZpVZXxdCYR0TrS4k6wthBBCCCHGm7Q/eX33u9+loKCAefPmMX36dKZPn878+fOpqKjge9/7Xjb2UQghhBBi/Im0JbO6kleieJvVz0QhSeRgo70Y8iqhaLY6374zOielP3lVqiWav0uFKc40gxhnhWqTFvKrFmeDoWlQPF+ddh9Pbb/703ef5FAQY82L7k/k75lFcRUxORLEmKsJIoPOGzs93PHbLXGD2iPWH2rC44+fXzkatZrarJW57ANex9yabLiDGHNFzEDzYSLsVgtvWlJnWPanbacJhXQgtYAtrdZkvfXQ8AK0bYemV6OhbAaVuOxUm2b2RB7HQgghhBBCDKo12YYNG3jyySf52Mc+xj333MNzzz3H888/T2lpaRZ2UQghhBBiHAoM0JZMD4G3RZ2OVFXE8neon/Zi9bN4DjhKVTDSuS+1fXBWAXp4toqe4o6HaRrkT1Kne073v25/8qpUqKOHoHP/4LcD0RkxkfskVziHrz2ZOYjJlfZOs0yDzg81qr/VPX/YQX1n8nZbPb4gG45kP8AaDoOpiImbETPMQUxjp7FqZVJZ//NhYt28bKLh/MnWHtYfUs+BgdqSQYqPXX83NG+Cltch0KNel0IBaHktKxVo8XNiJIgRQgghhBDKoD55aZrG2rVr+cxnPsMnPvEJlixZkun9EkIIIYQY3yIVMbYk3zD3tYdbjzkSt9qKBDGOEvVTs0Bp+D1bzxnVCmvgnVChhb0YOg+ks/eKKxzEeBsh2H+boX6VhKtiek6DZ5AH3YO+6D7kUmsyiJkTMwwVMbnamsx0ALu528c/dp3j5UPG+2Tl9HKWTSk1LHtmz9hoT9bm9hvOpzYjxhh8NHR6hnUuSYvb+LyuKnQmWTPessmlzKs1Phcf2nSSY81uDjcaA4yPXD4z7vol+QNUDIX8qvrF06Re/4pmQ83VKtwO9EDr64Nvm5jE7CSBohBCCCGEEGl/8vr2t7/No48+2nf+lltuoaKigokTJ7JjR+LezUIIIYQQIk3+ASpi+qphKtS3vOOuH9OaLMJRAq7wt9AHqorRdTWDxjUJ7KUqBEm3nY+9EBxlalu9Z9K7bixHGRROU6fbd0JoEK2oItUwNhdY0mhpNBwcFepAcaAnGsBlSVxrshypiJla7oprk/blJ3YbztcUO/npe87n+kW1huXP7mvsa2k1msW1JhtERUxIV2HMcNB1nZZu4z5XFA68zxGapnHbRcbZVs/vb+DXrx4zLKsqcvLZa+fymWvn9i0rcFi5ev4A7RK9zRDyqRaJNVdAyTwIeVQgbbGBt1W9nmSQOVA0B0pCCCGEEGL8SvuT189+9jMmT54MwLp161i3bh3/+Mc/uP766/nMZz6T8R0UQgghhBiXgpGKmGRBTLhSIFFbsqBHVX9oGthMbbiK56rlnqb+q0sC3Wob9pLofJnBtAaLVMW4T6V/3VjF89Q8lYAbug6lf/1EwVSusFhV2ARZr4oxV8TkShBjs1qYUWV8rDebDvJ/4spZlBc4uGZBrWk9L2+cas/2LmZVry9Ir2nWTXkKQUyZy06+3Rgsnm0fniCmszdAwBSAVaRREQNw83kTKXTa+s6HdPjNxhOGddbMr8Fi0fj4lbP43YdW8qU3zefJT15KXckAbdD6ZmjVgjUf2nZA4yuqLVmkHaD7FHQfTWuf+2OuiDna5CYwjBVKQgghhBAid6X9yevcuXN9Qczf//53brnlFtauXctnP/tZXn/99YzvoBBCCCHEuKPrqjoCErcmCwXB16pOJ5wPEw4dbAXx1R+2AiiYpk537lW3lYivTf10lELJAhXe9NZHl6fKNVFVe/g7o/s1GBY7lC5Wp7sPp7+tSDVPrrUli4gcGPZkd06MuSLGbk1QTTVCZlUnH/ReU+zknSvUZ5DplQXMNq37zN76Id/+nrMdvOUnr3Dl917koU0n0JM9N7LAPB8GUmtNpmkaE0rzDMvOtPdkbL/60+yObzdYkUJ4FKvAaeNtyyf2u87aBTV9p1fPquRDl85gWmWSgDpW5LlkK4CmV8B9Up3Xg9B7DkJeFTZ37I++3g6R+XHpC4Y40To8fw8hhBBCCJHb0g5iysrKOHVKfaPx6aefZs2aNYAqTQ8GB9EmQgghhBBCGAV71OwCzaKqQMx8bepya55q/xV3eXj+i70k8faLZqvWPL4OdUAykb4gpkzdRns7PHc/PPZeeOGbsOuPcG4HBP2Jrx9hsUNe+EBqz+n+1x1Ifq36p+vq2+3pHCiPtCaz52gQkxcO1LzN6f1eaTLPD3HYcqdN25ya5H+bj14+k7yYyo9rYg7OA6xLYbj7QD73p53sON3BsWY3X3p8N/c8tgOPf3g+35iDGIsGRXm2JGsbmduTnWnrzdh+9cfcSq3QaTP8jVL1nlVTk17mcli5aGZF2tsk0Kuq5/yd0LFHvdZZ7FC5EkoXgWYFixPcx1ULxvZd6d9GAmUFDipNVUGHGqQ9mRBCCCGEGEQQ87a3vY1bb72Va665hpaWFq6//noAtm/fzqxZszK+g0IIIYQQ405kToitMPH8l/7akgEEIm24kgQxVicUhodfd+5PPLA6UnHjKFOhy58+Bcc2w+H18NK34U8fhJ9dBj9cCGe29f/7RNqT9ZweeshQujgcIrWrg6ip6mtNlqNBjL1UHSgO+cHfkbWbiZsRY82N1mQQX00QUV3k5F0XTjEsW7vQ2J7saFP8gPd0tHR72X3GWGX15zfOcMvPNnK2PfvBRpvbGGiWuRxYLKlVK00qMwYxJ4epAqOl21gRk0ortUTm1BSxcnp5wssun1M1qHBHzYfxq9lUuq4q+6ovh7xqKJwONZer+VoFU8B9DDr2JQ+l02R+HB9qSHO2lhBCCCGEGJPS/uT1wx/+kE984hMsWLCAdevWUVio3mieO3eOj33sYxnfQSGEEEKIcScQPqA8mPkwEFMR0888lMIZKpAJuKHHNL8l5Ad/eB92/x3+9CEIBRJvp7sBfv9u6OqnNVReNVgcqg2QpzH5eqmw5qlWaaAOngZSOEge6FX7r2mJW73lAk2L/j2z2J7MHMQ4c2RGDMQPOo/4iKkaBmDJxBKqi4yVB0Opitl5OnH4tfN0Bzf95BW2Z3kGTaupIqYsjVBjWoXxdeJ48zC1JjPN8KkoHFwQA8mrYtYurEm4fEDeJhXW2orU62DVarDFBFa2Aqi8SM2eyqtVc2IaXkr+OpcG8+P40BACQiGEEEIIMXak/cnLbrfz6U9/mh/96EcsW7asb/ldd93Fhz70oYzunBBCCCHEuBRbEWMWCoC/XZ1OFMSEAtHrJ6uIAVVVUjRbne48aKyKibQl2/MsPHkPMEAVS3c9PHobBOJnRgCqxVpfVczJ/reVCtcUcJarWQ+ptBSKtCWzFap9yVV54Tkx3iGGVf3wBY1/y1yaETO1oiBuf6qKnNy6ckrcuhaLxpq49mSDnxOTLIgBFTh87KGtBEPZaxnXZmrzlcp8mAjzvJRjLe6M7NNAWsxBTIEzyZoDu3ZhbVxLL6tF48q51YPboLdZvU7aiyG/LvHzXtNUhV3FhWB1QMdeaHp1cLcXw1wRc1AqYoQQQgghBJBS4+G//vWvXH/99djtdv7617/2u+5NN92UkR0TQgghhBi3+oKYBBUxvlbVasfmMn7DOyLSgsuapw4u9qdgKnQdhqAH3CdUyx5QQcyOv8Lrj8VfZ+YV4G2DlhPQ2x5dfvo1+Mdn4c0/Sn5b3UfB06BuL9Hsm1RpGpQugcb1ans9Z8E1Ifn6/hyfDxMRmaXjbVXVQ9bBH9hOJq41WQ5VxNitFubWFhlahH34shlJW1OtXVDDw5ujwd72U+109PgpcdnTvu2dp9v7vfxsh4djzW6mlmX+bwLx81bKClL/HWaYgpimLi9dHj9FeenfD+locRuD18ohVMQ4bBbefeFk7n/+cN+yldPLKU0jkOrj71RVcP4uKJoZfV4lomlQvlxVzzS+CA3PQ/5EKB58y23zrKODDV209/gG97sIIYQQQogxI6Ug5uabb6a+vp7q6mpuvvnmpOtpmkYwODwDLYUQQgghxqz+WpMN1JYsMl+kv2qYCM0CxXOgbSd0HVKVJhYrHHkucQhz2WfhynvVt8Y7T8JfvwadMVUIW38NdUthxQfir2svVDMZvC3gPqludyjsRVA0S1XzdOxW1SSWJAeeI+GUrZ9WbbnAmqdmWfjaVcBUEF8JMlQ+03v1XApiAO68ajafeHgb/qDOyunl/Q5yXzWjAqfNgjccLoV0ePVIMzcsrkvrNnVdZ4epIubrb1nIfc8eoiUmINlztoOpZYOs0BhAm6k1WTrzViaXu9A04/ilEy09LJqYwmvAEMRVxAwhiAH40KUzeHLXOY42uXFYLXzuunmD25C3WT3nbS6wusAxwP2gaVB7FXjq1cysM49D/r/139qxH0snl8Y/Lg+38KYl6T0uhRBCCCHE2JLSJ69QKER1dXXf6WT/JIQRQgghhBiiUDA69yRRa7IBg5jIUPoUDyK6JqsDlkGvGlrtboZ134lf75r/hKu+GK5GWQR5RXD1nWAzVbY89Vk4szXxbRWED6r3nDQeNR6sotkq4Al6VVuhZAKjpCIG1LwKgN7Bt9nqjz9gbk2WW0HMtQtreekzV/L4x1fz2w9e2O+g9jy7lZUzKgzL1h9Mf77OuQ4PzabB85fMrmLxJOMB/L1nO8mWth6/4Xw61RN5disTSozVcceas9+ezHyfDaU1GUBJvp2nPnkpj/7bKjbfezVLJ5cObkOeSFuykv6rYWJpGkx+K9hL1YytM0+pyr1BSPS4fPlQ9uY+CSGEEEKI0SG3PnkJIYQQQox3wfABVIs9vrVYyK8OEoKqLkkkUhEz0LfAIzQLFIWrUzoPweMfhp424zprvgqrPxU97yiFgslQMRWu+pRx3ZAf/vG5xEFLfp36vQK9apj2UGkWKF2qTrtPqmobs6AvJpzKboVARuSHgxhvU0YGh5v5grnbmixiQmk+500uxWlLHsJEXDbbGEi+fKgZPc2Qz9yWrDjPxrQKFwsnGMPMPdkMYoYwIwZgRpVpTswwBDEt7sxWxEA0xChLoyLIQA+psNrXrl4DUw1iQAXSE65TlWndh6B5kwrGB8H8uFx/sCntx6UQQgghhBhb0vrkFQqF+L//+z9uvPFGFi1axOLFi7npppv47W9/K28shRBCCCEyob/5MJFZJ7b8xDNW9FDMPJQ0QgfXJFVZsvefcOhZ42Wz1sDFn4q/TvE80KwwZTFc+EHjZadfh72Px19Hs6gKHFAzaTLBWR6ttGnfpe6DWN5GFQrZixPP1DHzNEHDS9C+JzNVO+myF6kDwnooM2GViXlGjDNRRUwooObU9J4bdFXAcLlsTpXh/Jn2Xo40pRdCmNuSLZlUiqZpLJxgqog515m1zzzxM2LSCyKmVRhfL44PRxDTbZ4Rk535OWnxtavXQD2kKgqTVQ4mUzwPShdDKASdB6Bt26BeB8yPy7MdnrQfl0IIIYQQYmxJOYjRdZ2bbrqJD33oQ5w5c4bFixezcOFCTpw4wfve9z7e+ta3ZnM/hRBCCCHGB39kPkyCtmQDzToJdKsDkBabOpifKk0DrxU2PWRc7qqEm38KlgRvGa15UDhDnT7vOiibbrz82a9CwBt3tb7QxNOQuYP8JfPB4lAHYLuPGi+LtPiKVJoko+vqwGvzJnU/dx+Fls1ZqUoZUBbbk3lNQUxfazJfO7Rug/rn4ew/1Bygli1wbp0Kpjr2qYqjHPvy1ezqQmqLjaFkum2gzBUxS8ItycwVMa1uH/WdCR7TGRA/IybJvKMkplWaKmJasnvQPxAM0d5rbKeWiYqYIfOG25I5isFZpWZepcNihfLzVdtDTz24T0H7zrQf94kel4NpmyeEEEIIIcaOlIOYX//616xfv57nnnuON954g9///vc88sgj7Nixg2effZbnn3+e3/72t9ncVyGEEEKIsS/YT0XMQLNOBtuCy++BJz8PQeOBVW7+KRT2M5y8aKYKQEJeuPQTxsvajsPrv4i/jr1QtVXTddVOLBMsdihZoE53HozO2NFD4GlUp/P6CWKCXhXAdB5U5/PrVLWPpwmaXolub7hEQiNPQ8aDD7+5NZlVU/N1ml6BnjPRiixrXnTOkL8Tug5D0wZoeA469kcDwxGmaRqXJmgDlSpd19kZVxGjnj+Ty1wUOW2Gy/aey3x7Ml3X4yti0m1NVjm8FTFtPf64h2b5YNuJZZK3SYWK9hLIT6MtWaz8Car1omsq9J5Rr1Ptu9LaRKLHpcyJEUIIIYQY31IOYn7/+99z7733cuWVV8ZddtVVV/H5z3+e3/3udxndOSGEEEKIcaevNVmiipgBgpjI/Bh7koqZZJ79KjTsMS47/zaYs7b/61nsUDxbna6dApMuMF7+0negty3+epGqmJ6TmQsaCiarNmV6EDrCv4unSZ235iWfmRPohcb16pv0mhXKl0PFCqhara7n74Kml6Mh13BwlKv7NuQHX2tGN21uTeboPQJdR9TfwTURKldB3VqouwZqLoe6a9V94poUne/TdQgaXlDVM82boG2HCrHcJ9V97u8e9GyNwbjU1AZq09FWvIHUbv94Sw9dHmPV05JJpQBYLBrzTVUxe891DX5Hk3D7gnGVSumGGuaKmLYeP+2mKptManHHVwalO9cm43RdPf4C3eo1Mp35MLE0DUoXqcDYVqhek90n0g5jzO3J0nlcCiGEEEKIsSflIGbnzp1cd911SS+//vrr2bFjR0Z2SgghhBBi3EppRkyyiphIEJNGRcyhdbD5p8ZlJVWw/M3x81YSKZimZq+EvHDJR42Xedph/ffir5NfpyppAr1qDkmmlC5WB1F7z6lKGM8Abcn0ELRuUS3S7IVQfZkKI0AFN1WXqFAr6E37IOyQaFp0nzPcnsxnrojRfOrvV7lSBS55VWCNmfVhdaj7pHyZCmgqVqgD3JqmHqueJhXAdB5QgUzzJhXSnH0KmjZGH7NZdMmsSjQter7XH2Tr8QQBYALmtmSVhU7qSqItpRbUGYOYfVkIYnaeMu6DRYOqovTmrUwqy8dq0QzLjmWxKqal21zBY8eWaN7QcAr2qNlGWMBZnXiOVm9bfOVfIo4y9bh3VqpWj+jQfRzad6ccHg/lcSmEEEIIIcaelN8tt7a2UlOT/FtFNTU1tLXJG0shhBBCiEELBdRBf4if8RL0QsinDoAnqpaBaNVGsuoPs+5GeNwUnljtsPo9oPtUpcRANIsacA1Q7IL5bzZe/trPVZsy83UKp4X34XBq+5oKe3F0bk3bLug9q04na0vWsUe1MbLYoWKlCmNiRQIKzaIO8PraM7evA4nssyezQYy5NZk9vwKqr4C8flrQRWgWFaJVXgi1a1X1TNl5UDwXCqaoEMdeFD5wjaoyanxJtT4b7KydQA90HlL/kgSD5QUOFk80PubXH2pOafM7Thnbki2dVIIWc/TcPCdmXxZak206Zqx6WjSxBJfDlmTtxOxWC1PKja8Zx7M4J6a521gRU1GYXnCUFQG3mg9jzYsPX8++Ab+9Gb49Db4zA176rmrJ2J+Sheq1weIEe6la1n1MzU9KoUKurMDBEtPj8iVpTyaEEEIIMW6lHMQEg0FstuQfCKxWK4FAeh+w1q9fz5vf/GYmTJiApmk8/vjjhsvf9773oWma4d+qVasM63i9Xu68804qKyspKCjgpptu4vTp04Z12trauO222ygpKaGkpITbbruN9vb2tPZVCCGEECLrgj3qp8WhDgDGihz4s7oSD6AO9KhWVpoleVATKxRSIYzbdGBw5a0w4wZ1uutgtEKnP/kTVQgSCsCq24z7HvTBc/8Zf52C6aoVmK8jOsclE4rmqAOx3kb17XVNUy2GzHpOq2+4g6oEMQdfEdY8NTMCoPto5vZzIM4q9bcM9GS0LZrPZ6xkcJZMjQYn6bA6VPBSMBmK50DZUhXM1FwBE66H2qvVwXBdV4FewwvQ25DatkMB1Qqq6VWofw4696t/LVuShjGXzTa2gUp1Toy5IibSlixi4QTjgfTT7R56BpkpJbP5aIvh/KoZCR6vKZhWYXwMH2savoqYilyYD+PvUs8VqzPalqz1KPzxA/DzK+DoC2qZtxNe+C/46UVw8Jnk27M6VYsyUPO5iuao54qvTbUz7Ng3YAu+S+Mel6kFhEIIIYQQYuxJOYjRdZ33ve99vO1tb0v47wMf+EDaN+52u1m6dCk/+clPkq5z3XXXce7cub5/Tz31lOHyu+66i7/85S888sgjvPLKK3R3d3PjjTcSDEbfFN96661s376dp59+mqeffprt27dz2223pb2/QgghhBBZ1V9bskBkPkyS+S+Rg/W2QnUAfyCb/xcOP2tcNmU5zF8DJfPVQXY9pFpyDdSKR9PUdQBsQVjxfuPlu/8Ep7cal1kd0VkxXYcG3t9UWWxQfr5q0+bvVFUZ5v33d0LbTnW6eM7A1SCRKpves6qN2XCwWFUYA5lr3+ZtwefrNSxyZKudlM0FFReoiiJbgbrfWl4Lt3bqp+Vdb4MKbdp2qiokTVPtoTQLeBqgeXPC6hrzYPS95zpp6oqfYxIrEAyx+6yxImbJZGPwMrumMO4+OuM2tgAbCo8/yBum1mQrp5cPalvmOTHHWnoGu1sDMs+IqcyFihhvc3gmlEu1Z3ztAfjJher1J5HWo/DwO+H3t0JPkllMrknq9UEPga9ZVY/1BYyHof5Z1Y6vYx/0nIkLrs1zYvad66Sxa5heQ4QQQgghRE5J+etvt99++4DrvPe9703rxq+//nquv/76ftdxOp3U1iZuJ9HR0cEvf/lLHnzwQdasWQPAQw89xOTJk3n22We59tpr2bdvH08//TSbNm1i5cqVADzwwANcdNFFHDhwgLlz56a1z0IIIYQQWdMXxCSozojM2rAPMB8mlbZkp16DdV82LiushsvuUAGJrVDNW2l4Uc0A6TqkAov+5FWDo1S171r+dtjxKHhjDnI/8yV4/1MYhiYUzQT3cXXA3dsKzsEdgI7jLFcttHrPgY4KACouVPdR71l1wFQPqrCpKMHvpeuqUqj5IDQdAHczFBdC9RRVRVMyLzP7ORDXRBU+uE+q/dSGEAAE3NDyGr6gDkS3Y8/2XI+8alUl07FPVRR1HwNfqwrLYgPHoA86dqu/DajLCqaq+8CaB94W9Xf0NkPzRlV9E1N5tXxqGQUOK25f9MtYrxxu4q3LJiXdtUON3Xj8xlBoqakixm61MKe2kN1nolVJpzNYaLL9VDu+QHQfLBqsmDa458F0UxBzfBhnxFQU5kBFjDdcbeKsgK56ePrzqbXEO/Ak/PIgvOePUDYt/vLSJdD4onqN8tSrgLG3XoXUQY96jfTEVGDZ8lWI6qxk2aQqCp02ur3R/XjlUDNvW578cSmEEEIIIcamlIOYX/3qV9ncj6RefPFFqqurKS0t5fLLL+cb3/gG1dXqW4tbt27F7/ezdu3avvUnTJjAokWL2LBhA9deey0bN26kpKSkL4QBWLVqFSUlJWzYsCFpEOP1evF6o9/06uxUH778fj9+fwoDHseJyH0h94kQuUeen0KMDobnqqcdLRhAxwGm567maYNgAJ28uMsAtN4WdbnmSnh5n54WbI/djmY6QBm45itgzwdLEXogADigcD5a+w5o26O2m5d8XiAA+dPRel+HUCPa6k9iff7r0ctObiCw56/oc2+IuYIVHDVoPaegbR96xYX9bz9VATdaMASuWSpU6qmH3idV+BJhK0AvWgym1rqWTT/Bsul/0Mwt24DgqtvQF2ro+dNUW7Vss1Wi6RbwdaN3n04+6yYFWss28HvwhZyodEqxaKHh+X+iYA5YS9TjqbcFzj4Xrt6yqn/+Tgh5AQ29cEY4eLJCCNVyz1IMJSvQWl+D3maofxm98hJDOLVqRjnP7Y/+3V7c38iNi5I/Zt84YayCmFSaR5FDi7s/5tcWmYKY+HUGa4NpZsj8uiJctsH93z251Dic/mhzNz6fzzDzJlOaTVUdpfm2EX+/obnPoYWChGxlWLb/HqvpNU53uAid/3604y9jObfTeOWWQ+i/uIbAvzwMdeeZtmwD1yy0jt3QugvdUgz2Cqi4LFp5F+hE83eq894u9Y+jaFYXq6YV8+yB6GPtpQONvHnxAK+lIuPkfbEQo4c8X4UYHeS5GpXqfTCIhtDD5/rrr+ed73wnU6dO5dixY3z5y1/mqquuYuvWrTidTurr63E4HJSVlRmuV1NTQ329GmxaX1/fF9zEqq6u7lsnkW9961t87Wtfi1v+zDPP4HIl6SE+jq1bt26kd0EIkYQ8P4UYHdatW0dZcD8OvZMOSyseyxHD5dWBrWgEabF6CWj5cdevCu7Aontptbrxa/sS34geYtWR71PTddaw+GDNmzl7pJE8fT/dlkm4LdE5BkWhk7hCjei8QYt1IUEtz7xVg4rgPmy6m16qWOmoxOWLbsvzt8/y/OEAuhZ9C2rVPVQGdwE6LdaTBLShv89yhc5RFDqFTyuh2zKBsuBBNILoWPFqZXgs5XgBNGNrttqObaw8el/S7Wqbfse+xh7OFp2j15LCcPsMKAydoiB0Dp92iDbr4Cq580LNlISOAha6vSuJrYh54/XX6DqYmX1NhUX3URI6ikOPn3sT1PLpsEzHrx0DjiW8vk3vpTy4D40A7dZTeLXSvsvKvBoQDcjW7TnL3/JPYU2SQzx51EJsp+ZKa09cG2SAUItxu2fcWsb+b/3HHuM+VOkdCfchFS0eiP145/YGefSJf1CchWKVw6etxD6Ozh07yFO9BzJ/Q6nSg8zwb8Cud3P6aB0XHvoFsU0cm4vm8NrUT+L3FEPNBUy2vcyic4/giGklprkb0X79Jl6f9gkaS5aatq9TFjqIQ+8kxDZarfMIJngdRg/ioAun3kme3opF9zHZMwGY1rfKc3vP8vcnT2HJfD4mUiDvi4UYPeT5KsToIM9V6OlJrSVwTgcx//Iv/9J3etGiRaxYsYKpU6fy5JNP8ra3vS3p9XRdN3zzK9G3wMzrmH3hC1/g7rvv7jvf2dnJ5MmTWbt2LcXFSXqzj0N+v59169ZxzTXXYLfbB76CEGLYyPNTiNEh9rnqaHVCsBe98mJwxLQnCvaiNYRAs6DXXhc/AybkQ6tX7Y302msNLZtiWV7+HtauXcarTl3N9FsfYEbTixD0oFdcZBxur4fQWjapdlK2IvTK1f0Pd/csR2vdApoNpv8n/PVjfRcVeut5U00ToRUfNF6nbTpa7xn0/AlQtjz5tlOhh9Ca1kOgBr1kIRRMV225Am71eyWrZAn6sP3sP/rdtIUQC+ufY95F16NPvX5orcJSFehBa3weAL368sTzg/oT8qE1vgihcvTiebDjBBCtDLp09cUsm1Kasd1Nia6Dv11VuuhB9U+zqIqfVOYbde5F6z4Kzir0imjV+9L2Xv74/Zf7zvcENKoXrEo6c+XnP90IdPWdX7tiLjdcMj1uvZoTbfzpF6/3nW/ohUuvuIoiV/+h5EC8gRCfff15VNmP8q4rl3P1/MGFfMGQzrd2Pos/GK14mrXsIlZMLevnWoPz/QMvA9F5Q5etXM51C0ewysPfieXQbtADzCych33XGcPFpW/5LtdMXR2z5Ebo/BT6I7egNe3vW2oLeVl17D6CN/8MfcHNxtsIrUVr2agqYKx56rWyv+dj0IvWupmq5k5+dSK6uNuvMWP5JSyok8+Uw0neFwsxesjzVYjRQZ6rUZFOWgPJ6SDGrK6ujqlTp3LokBroWltbi8/no62tzVAV09jYyMUXX9y3TkNDQ9y2mpqaqKlJ/mHB6XTidMYPnbTb7eP+wZWI3C9C5C55fgoxOthtVmz4wWqDvFKwxjxvA61qub0YHAmGYns61OU2FziTVJQcWw/rv21cVliD5R2/wmLVgQDY7OCqUoPiY1Wvgsb1EOwF91413yMZ2yToOaoOVs5cDhOWw9ltfRdbX/4O1vPeBfml0euUzQNfA/gaQe8GxxAOHHceAt0DjgIonq5CKXspUNr/9V7/GbSZqjCsTiiqgfaTfYu0nnZsz38fblsNrgmD389U2UugYAJ4GsF3FvIXpHf9tr2ghSCvDErn4g8af0dXnmNk/o9wDKGiqGQ2eE5BoA3w9M1NmlZlZ0FdMXvPRT8IPX+ghUvmxL/n7/EF2F/fbVi2fGpFwvti8eRyNE3lRwAhNI61ejm/JMm8phS9cboVb8x8GE2Di2ZVD/rvYQemVRRwqDH6e51q93LRrMz/fVvdxvYLNSWukX2v4fcAAbAXYD34T+NlJZOwzbgMLKaQr2IqfPAZeORWOP5K32JND2J7/MNgtcKi2C//2aHmUmjeoGZ2dWyBytVqJkwidjvUXsZM22amFLdzsjMa3G442s7SKRWJryeySt4XCzF6yPNViNFBnquk/PtneTpnZrW0tHDq1Cnq6uoAOP/887Hb7YYSqHPnzrF79+6+IOaiiy6io6OD1157rW+dzZs309HR0beOEEIIIcSIC4bLmS02FQDECoS/tW9PcuDX3xG+vCTx5Z5OePxjxM4GQbPA23+pggZfW/T65hAG1P5UrFDX6TmrBtYno2lQPEeddh+Ha75qvLynBdZ92bjMXgyu8PDqtp2gGweopyzgpq/PVsnCpJVBcdzN8NJ3jMsmroAvnoNPbocZVxgvO7cPnu2/eiajCqapn+5T6d033hZwh0Ok0iWEdM1QLQHgsI2qjwOKLWZeUbcxWFprqspYt68eXTf+zgA7TnUQDEWXWy0aSyeVJry5AqeN6RXGyoe957oSrpuOTUdbDOfn1xZT4hrah9hplcb9PNbsTrLm4Hn8QcPweYCKwiz0P0tHbyOggyUPdv/FeNnSd8eHMBF5JfCev8DiW4zL9SD86UOw+0/G5VYHVIYrYQK90Pyqeo4le15a7FB5EZdNN1ZPvWyaDSSEEEIIIca+Ef3k1d3dzfbt29m+fTsAx44dY/v27Zw8eZLu7m4+/elPs3HjRo4fP86LL77Im9/8ZiorK3nrW98KQElJCR/84Ae55557eO6553jjjTd4z3vew+LFi1mzZg0A8+fP57rrruOOO+5g06ZNbNq0iTvuuIMbb7yRuXMH12dbCCGEECLjIrMKrAkqWvzhg762QQYxz3wROk4Zl131ZZh+qTrtDR8QdiRu4aQuK4OS+ep0xx5V8ZJMXq0KjUIBqKiDuW8yXr7tt3D0ReOykoVgcajtdh9Nvu3+REKcvCpwTUz9ei98E7wdxmXX/bcKpSxWFVgVTzJevu0xOPzc4PYzXXnV6lv3IR/0nh14fVD3Q3t4IHnBVHCW4wvGHyx2WEdhEANQOEP97DmtWpyFXbPAGMScau3lQEN8aLLtZJvh/IK6YvIdSdrWAQsmGNtI7atPrf1AfzYfMwYxq2YMvUJiuimIOZ6FIKbF7YtbVlmQoFJvOHkb1c/mBuhpNl629N39X9fmgLf+DC78N+NyPQh/uiNBGOOEqoujYUzbDqh/DroOq9c8M4uVSxcvNCzacryNHl+CdYUQQgghxJg1op+8tmzZwrJly1i2bBkAd999N8uWLeMrX/kKVquVXbt28Za3vIU5c+Zw++23M2fOHDZu3EhRUfQgxA9/+ENuvvlmbrnlFlavXo3L5eJvf/sbVmv0g9Tvfvc7Fi9ezNq1a1m7di1LlizhwQcfHPbfVwghhBAiqUgQk2jmwIAVMeGDwvYEMwcOPauCj1jTLoXVd0XPRypinP0EMaAOfufVqIP8LVsSH3QEVRVTNFud7j4K134DHIXGdf72KfDFHCS2OqA0fLCy80D0/khVz2nwNqsZMKVLUr9ew17Y+ivjssW3wOQLoucLKuGW38RX2Dz/tWi/qmzSNHBNVafdJ/pfN6JjH/i71UHjcIDmTxDE2EdjRQyoeT/2YnWw3B1tHbegrpiJpcZWUc/siW9TvO2EMYg5f4A5KgsnGEPOoVbE+AIhtpr2YeWMAZ5/KTAHMdmoiGnp9hrO2ywaxfkj3PHaG64wObrVuHzSBVAxM2a9VvA0QyhoXM9igeu/kySM+RBs+l/jcmseVF+mXrOseRD0qOdc/bPqNc9UIXPxrEqsMSOlfMEQm4+2DuIXFUIIIYQQo9WIfvK64oor0HU97t+vf/1r8vPz+ec//0ljYyM+n48TJ07w61//msmTJxu2kZeXx/33309LSws9PT387W9/i1unvLychx56iM7OTjo7O3nooYcoLS0dxt9UCCGEEGIAkdZk5iBG16MVMYmCmFAQAuGZEA5TRUxvO/z1TuMyRyG85SfRVj0hfzTI6a8iJqLsPHXgMeCG9l3J18ufoH6XkB8cOqz5qvHytuPw/DeMy1yTwFkZruboZ9tmQR+071Gni+eo1lWp+ue9xoOmtnxYk6Dt2KQVsPa/jMvO7oBjL6V+W0NRMEUFMt5W8LX3v66nOVpVVLq0L0DyBcZQRQxA4XT10328LxDTNC2uKmbdXmMQo+s6W00VMcsHDGKMIefec114/MEkaw9s5+l2PH7j3+PCaUMPYqaZWqgdb3ETCmU2LGzpNlbEVBQ60DQtydrDxNsCPg+cNAUx592qfuohaH0Dml6F5o1w7ml1umNf9PVV05KEMSF4+nPw1GcgGBM+W2wqnK69Wr0u2gvV6137Hmh4AXrO9D0ui/LscY+xlw42ZvAOEEIIIYQQuW4Uf/ISQgghhBg7tECSICbYow4EatbEbcsCXepgn8WhApJYT38BukytrNZ+HcqmRc9HqmFsBfGzaRKxOqD8fHXQsue0mluS8BfSoGiWOt11BFa8H6ZcZFxn0/+DU68bl5UtUbNoPE3qQGYqOnartl324mjLqlSc3gJHXzAuW/1JKJmUeP0LPgilU4zLXvzv1G9vKKxOFW4BtG5V4VMiIT+0b1enC6ZCfjSUSNiabLRWxADkT1QhU6AHPNGwZa0piNl1poOz7b195482u2nvMQ6bXz6ltN+bWjq5lNiswRcIseNU+6B3ffMxYzXEvNoiygqGPmfFXBHj8Ydo6PIMebuxzK3JKka6LVnIr9oznjkEwZi/q9UBC9+qqlWaXlWvV5qmXif1kAo1uw5Dw4vQuk2Fy8nCGIDXfg6//xc1cyuWZoGCyVB9BZQtDQfVPWqbLa/3hTGXza4yXO3lA+cyez8IIYQQQoicNoo/eQkhhBBCjCHBJDNi+qphCiHRt84j82HM1TCHn4UdDxuXzbgCzn+/cZk3fEB4oLZksZzlUBSetdexB4LexOu5JkXb9vSehZvuN4U9OjzxMeOBTVsBFM1Rp9t39j+LBqD3nApsNC0a4qTqtQeM54vqYPWnkq9vtcMl/25cdnIjnNiQ+m0ORckiVe0T6FFhTKK2aO271NwKWwGULDBc5A/Erz+qK2IsVhU2AXQf61t8wfRyivOMrbKe3RcNasxtyWqKnXHtzMxK8u0sqDNWxZjDlHRsOpr5+TCgfpd8u3HWTabbk5lbk1UUDj1AGhJfuwpjTu43Lp97A1iBxpfVOhY7VKyCumuiVSz5tWrdnjOqiqVtB4S8Koy54t742zr8LPzPBbD5Z+A3BVyapirXaq6C4nnhQLlBhT3ApXOMQcyRFh9nmqU9mRBCCCHEeDGKP3kJIYQQQowRuq4OrkN8RUx/818Ml8cEMaEQrDO113IWw00/iQ9zfOEDgam0JYtVNEuFPyG/CmMS0SxQFJ7P0HUYKmbBlV8wrtN8EP5wu/Gb7EUzVdgTCkDzZhUsJBL0Qlt4IH3hLHD0317KwN0Ce/5sXLbyw+BIMKMn1nn/CsUTjcte+k7qtzsUVgdUXKCqo7zN0LHXeHnP6WgoVb5MtU6K4QvGt9Ia1RUxEA1ivM0q8APsVgtXz0/enmybqS3Z+VPLUmqttXK6MSwxhymp8gaCbDlu3IdVGZgPA6o12zRTVcwrh5qTrD048RUxIxzEeOrB74VWU4XJ4ndC8yb1uLAXqZkueZXqMptLVbFUXBBeXq1eh90nVYVMzym44nPwtl+o512srnr4x2fhvoWw/rtw8J9wZhu0n4KATwWExbOjs6q6DoC3hcUTSyh1GedMvbxrd3buEyGEEEIIkXNG+ScvIYQQQojRz4oP0FVwYW4vFghXxNgSzIcB8IUrYmKDmt1/hAbTAb61X4dS4xw99FB03kg6IQaog/2lS8Mtys6AJ8m8A9eUcPsot6qKuehOqFtqXOfI8/Dk3dEKD80CFReqg6dBD7RsStyKq31ntCVZ8Zz09v+NB43btDpg2W0DX8/mjK+aOfqCanM2HOzFUL5cne4+Cp0H1EyK+ufUDAyAotkJ/55e04wYq0XDahnh2R5DZXNFq7l6o234zHNiNh5poaNXhX1bTRUxy6ek9tg3hyXbTrbhDaQ/J2bL8TZ6Y+bLaFp8yDMUK6cb9/OxLacGtZ/JNMdVxIxwazJPI7SbXn8sdqibpcJcezFUXZJ8dpSjBCpXQtXqaLjctgOaNsKCG+D2v4Erwd/H3QzP/xc8fAs8cCXctwi+WQf/ezH87aNw8FnQ89XrWus2rLqP1bMqDZtYf7gz2h5SCCGEEEKMaRLECCGEEEKMMCvhFjc2V3zFSl9rsgRBjK7HV8QEfOrgYKzqBYlDBn8n6EF10NJWmP6OO0qgIDwwvX0XhBIc7I0MtAZVFWO1wTt/Ay7jAUm2/RZe+UHM9exQuQps+eDvhpbXjNt3n4LeehXalC9LryVZKAhb/s+4bOFboaAy8fpmy98LhcYD/cNWFQOqnVJxuDVc50EVyAR6orMqimYnvJrPFMTYraM8hImIzM7piQYxl82pMrRdC4R0XjzQSEevn4MN3Yarm4eoJ3Ph9HLD09PjD7HzdEfau7v+UJPh/JKJJRmZDxPxryuNc4yau308vbs+Y9tv6TZVxIx0azJvE7SZgpiaheANV0EVTI2rDkvIWQ5Vl6qWfpGqs4YXoaQUPvgMTLt04G2EAlC/B7Y+DE/cBb+5FXY9pQLltje4fLbxNeaV0xBs25t4W0IIIYQQYkyRIEYIIYQQYoRZ9fA3zK2mtlh6CALhg8aJKmICbhWkaNZoS7Ntv4H2E8b1rv6KapdjFtuWLIXWTAkVz1VhSaAHug4mXqdwujoQ6u9U4Un5dLj1UbCZqn+e+0/Y+pvoeWseVKxUoYyvLRzG+FWrso5wxU/RnORt25I5/Fz8fXTBh1K/vj0fLv6kcdmhf8K5Hentx1AUzVahizUv2mKp7lo19yJJKOUPGmfEjOr5MLHyJ6jHr6+tr8VfodPG6lnGKob7nz/M66a5Lg6bhYUTUnv8lLoczK0xPg83D6I92fqDxlZhl5lmhwzV7JqiuKqY3206mbHtt7iNFTGVBSNcEeNtgfYG47LaRer1RrOAa2Li6yWiaao1Ys3l4KxUr8Fdh8B3FN75P/C+J9WsrVQFvLD5YXjpx9B9iksnGOf1dHo1dpxqTV5RKIQQQgghxowx8ulLCCGEEGL0shE+sGmeDxPoUVUvFpsKO8z8MW3JNA283fGVGZNXwpzrEt+wN3xQ2lme+PJUWGxQslid7j4SrdAxrGOHgmnqdOcB9TtNWgFvewAwBUB/+yT85SPgjakEqrgw+g31pg3hgdoB1X6raFb6+/z6A8bztUtg0gXqtL8rehuRaqREVrw/vl3Rhp+kvy+DpWkqdKm7Jjp0fIBv/ZsrYhy2BOHcaGR1giP8t4hpT/bmpRMMqx1u7OYrTxhb9i2eWIIzjfvhwmnG6plNR9Mbtt7Y5WHfOeNz5NLZmQ1iAG67aKrh/GvHW9lfn+C5OQi5VxHTEl8RUzFJ/cyvVa8/6bIVQNVFULFCnY7Mo8rzwVu+Dbf9CZbcol47iuoGrrg59Br847+oc29idrXxdf7FExp07Iu2ZhRCCCGEEGOSBDFCCCGEECPMqse0JovVVw2TpG1YX1uy8Df6N/0U3KYDkmu+mrjaRdfVAUxQFTFDkV8D+XVqm+27Eq9TODNaFeMJt0lacBOs/a/4dXf8Hn52GZwNzzxxlqv5DVYneBuhfp0KqUoXpV/J03oMDq0zLrvgQ+GKinZoelXdL5Gh3c2bwdMUvx1HAaz6mHHZnj9Dx+n09mcY+YLG1nFO2xj6KBCpeug507foLedNZPHEEsNqZzs8hvPnp9iWLGLldOP6W0+0xQVc/Xn1sLEaptBpY9mU0rT2IRVrF9RSVWSsVHlo04kka6dO1/UEQcwIVsR426C3E3pMIVNJ+O/kmhx/nXTk10HNFeq1xuJQVYhdh8DZC6veDm//Drz3/+AjT8D7fwdv/i+44D0weXn8thqOw9+/zg11xvDuj/s0gt5OQ4gohBBCCCHGnjH06UsIIYQQYnSKzogxVcREKjKSBjHhihhHCfS0woYfGy+ffS1MvTjxdQNdatC9ZgVH6aD226B0UbhqpdUwq6OP1RGdJxOpigG46ONw8Z3x67cehV+sgT/dAadeDw/cvlSFJSGfOmgZCqS/n1t/BcR889xZAovfAZ5maN6oWp85StUBWFAtg5o3Qcf++G2t+IBqUxYRCsDm/01/n4aJL2D8xv2YmREDkFerwjR/p5opBFgtGt9862Is/fyay6ekF8SsMAU3vf4gu860p3x9c1uyi2ZWYM9CiziHzcK7LzCGEH/ZdoZu7yCeMzG6vQF8QWPwVJHB+TZp8zRAuyl8tjmhpEa17XNmoNpIs6j2irVXQ/lyFfpZ7Oq1wtusgltfG1h1qJkGS6+Da++GKz4WXynT2cId9V/FQvQ+PNsNz58AOverVmhCCCGEEGJMkiBGCCGEEGKE9c2IiWtNNkBFjC/SmqxEBQze2G+Fa2o2TDLe8AFhZ3l6g+6TseZF24R17oVQMH6dopnqAKa/K/rtb01TVTFv/yU4TbM6QgHY9Rj8cg08cCVsfxi0QjUvJ78WWjarmTOpcjcbZ9AAnHcrBLvUtkIBNReiMtySqPYqKJym1us+HN+qzFUO573HuGzrb8CTmRZQmWY+gO4YSxUxVkf0oHtMZcHiSSW896JpSa+2fGppWjdTXuCgLt8YaKXaniwU0nn5UHbnw8R698opWGNSKLcvyIMbT3CqtSelf4kqfczVMDDCrckSBTGV4eo716TBz75KxGJTIUz5cjWPqWq1Ol1+vnq9qLhQ/Sw7TwXTy94LN34F8oyva4UdJ/hayROGZQ/utobnbB3J3P4KIYQQQoicMkAzWyGEEEIIkVVBDxohQAOraQ5MJIixJwhigp5wRYsG1gLY9lvj5YvergZWJxNpS+asHPSuxymcCe4TEOiF7qNQPNt4ucUOhTNURUzXweiQdVBVKZNWwJ8+BKdfj9/22TfUP6sDZq6G+ddBhQtat0DpUjWwfiD/vBc87cZl571DbUPXVbhTfn40mLIVQOliNR+i95xqu1ZlqjBa9VF4/Rf0Vdl4O+GNB1WlT46JnxEzhoIYUAfJPY3QewaK5/QtvmftHJ7adY7GLuOQ+cnl+VQX5aV9M7NKdM71Rg/wbz7WysevHPh6++o7ae427sNlszP4/DOpK8nn6nnVPLM3Osj+20/v59tPJ6juSqDMZedbb1vMdYvq+pa1uI3773JYcTlG8COltwnaGozLIvNhhtqWrD+altpsrfNmQeVCeOzD0B0N4f7V+yce05ayS58BwPoTOsfbYZp2APKqMlOlKIQQQgghcsoY+/QlhBBCCDHKBHvUT2t+fGVKX0VMUfz1IvNhbIVw4lVoO268fOWHk9+mrsdUxGTwQLDFCiUL1OmuQyosMiucEa6K6VYHzGOVTYP3/wMu+4yaB5NI0AcHX4AnPgd//BwcegVat6ngpz9HnoedjxqXLbgZtI5wCFMH5SsSVweVLAy3XWuBHtMMmIqZMO8G47JNP4Xg0FpAZYPfVBGTjZZYIyqvRv39/N3R5wdQlGfnP968MG7189NsSxYxq9hYEbPleGvcfZuIuRpmaoWLqRUFSdbOjNsumjro67b1+PnIQ9v4/jMHCIXU79xsqogpH8m2ZKCek3EVMdPBUZY4wB5uFjtMWaMq/mJeWyyEuN/xE/KJvkY+fKBQvRa1bhtc20UhhBBCCJHTxtinLyGEEEKIUSbgVj/NbcmCHnUwTtPA5oq/Xl9bsuL4dltV82HSBclv09+htm2xq7ZmmeSaqA6C6kE188DMYotpYXYwfiaC1Q5XfQnu3gdrvgYlU5LfVuc5ePGn8Jcvwe7fQ8fBxOv5euDv/25c5iyBi9+r2gHZ8qFsafI2Rrb8aIVFx141GyLWxZ8ynu84BXsfT77fIySuImasBTEWO+RVq9OmOUU3LK7lirnGNmCXzx1cW7CZpiCmxxdk95mOAa+3/mCT4fylWayGiVg9s5KZVUMLe+5//jB3/HYLHT1+mkxVRRWFSQLT4aDr0HkSeruNyytnpFYhN5ymXwGr7zIsmqbV80Xb7/rOP7bbj0d3qv8TOvYM6+4JIYQQQojsG2OfvoQQQgghRplwEKOb25JF5pHYChJXafjDB379Idj/d+Nl59/e/2yEvmqYiszOUIgoDbdEc58CX3v85QXTVMVLwA3u44m3UVABl9wFn9oO7/w1TFmuqlISaT0JT38HHr0dDj4ef/lL346vGLr8bqBH/f5ly9VB/P4UzlDfsA96VYAUa8pKmHCecdnGn6gDxTlkzLcmA8ifqH72njbc/5qm8f13LmX1rAry7Vbecf4kblo6cVA3UWSHWaZwY6A5MT2+AFuOtxmWXTY7e/NhIiwWjfvfvZzZ1UOrDnlufyNL//MZvvT4bsPyypGsiAm4ofmkcZk9D0rqVNvDXHPlvTBhuWHRe2zPcYXlDQDae/38/Ww4eHafVO0QhRBCCCHEmCEzYoQQQgghRlKkNZm5IqavLVmSA6iR1ksHnlXtuiKsTljyL/3fZjbaksVylKpB2T2n1Te7q1YbL7fYoHgetO1Q82LyJyZvRWaxwqT5UHI3BG1w7gRs/x3U74xf9+xeePh2mLMGrvoq9LSqeTMb7jeuN3klTJ2jqnaKZqc260GzQMkiaN4E7mPqG/f2mCHcq/8d/nB7zL68AcdfhumXDbztYeILjvGKGFBzfix2NafI26zmbYRVFDr53YdWoes62hADyJXTyznc5O47v+FIMx+9YmbS9TcfbTXc/zaLxkUzK4a0D6laMKGYdXdfjscfTDkbfOT1k/zXk/sIhvq/QkXhCAYxniZoqzcuq5gGztJosOrrUK+VFnv0n60wcbidbVY7vP0X8L+XgL+nb/F/2X/FNd759JLHg1taeMe8WdB1WL0+Wl3gyHDVohBCCCGEGBFj8NOXEEIIIcTooSULXPoLYkIB9W1wXYcdfzRetuAmcPUTLOgh8Ia/vZ+tIAagZH54rkor9JyJv9w1WQU2oYBq95WMrkPPKXW6+jxY9RH48Hp49yNQNS/xdQ4+qw52/vYmeP7rKnCJsNhh9fvUMkeZCmJSlVelZsnougqQYs1/M5SYKixe/kHq2x4G46IiRrOo9ngQfdyYV8lAFdjK6cb5MpuPttLtTT7XY/0hY1uy5VPKKMoboAorw/LsVvIdqf17/+rpPPjBCylz9b+PM6tGcA6LtxHaEsyHiQSrveegcT20bYeW16FpAzS8BOf+qZZ5moe/aq1iJlz3LcOiSVoz/277EwA7TrWzq6s2/Nroh6ZXBp5/JYQQQgghRoUx+OlLCCGEEGKU0PWYGTGmA5qR1mT2ovjrRaphmo5DyyHjZctvj1vdwNeuQgirM/G2M8WaFzMLZh+EgsbLNQ1KF6vTPaej4ZCZp0HNy7E41DD2yHXnXg8f3QBv+R8oTqPF1Hk3QWGRqsopX5b+N+OLw+FPb70aCh9hscJFHzeue/QFVRmTI+IqYsZiEAMq5AN1IN48zydDLplVgd0aDXR8wRAvHWhKuK4/GOLJncY2U8MxH2aoLp5ZyV8/cQlLJ5cmvHzRxGLeuWIEZ7F4mqDdFMRUTQdHOfja1NB7UBUljjJVdWixq/DXfQqaN0L9OhWqxlYVZtvy22HapYZFH7D+g4XacQD+uPUMVK5S1V16CNr3QPNrw7uPQgghhBAi48bopy8hhBBCiFEg6AlXa1jAPCOmv4qYyHyYA+uNy8tnwrRL+r/NbLcli1U4Uw26D/RC95H4yx2lUBCeidCxO/G3093hGRAFk+NDE4sVlr0H7twK13wd8kr735+qGbD0RvWN+apL4tvBpcJeqA6QAnQfNl52/gcg37QPOVQVE1cRMxZbk4F6XNmL1EHs3rNZuYmiPDurZhhbi63bW59w3XV7G2g0Dbm/ZmFNVvYr0yaXu/jLRy/mlc9dyXP3XN7375XPXcnfPnEJ5SM5I6btKHh7jMsqZ4AlT1XA6CEV3lZdCtWXQO1VUHctVF0MBVNVKBOZ+VT/rKrMC3qyv9+aBjfeB9bofWfTQnzD/gsshPj7znP4dStUXKDCas2iAumG51W41HNGQhkhhBBCiFFojH76EkIIIYQYBcJhS1BzGkOGkF8dIIQkQUwneN1wxBTELH+vOsjXn+EMYixWKJ6vTncdTnyQs3i+OiDq64Ae0+DtoEe1HwJ14DQZez6s/iR8ajusvgtseeHbt6nwZf4auOKj8OavQuX5UHnx0KqBIu3Mek6rkCl2Py78oHHdfX+DpoODv60M8psqYuxjtSIGolUx7sTtyTJh7QJjmPL8/sa4+xjgwY0nDOfPn1rGvNriuPVylcWiManMxcyqwr5/k8pcGWnxNmi6Dg17jMscLiidCB271OunvRjKlxtfEzUNnBVQtgTq1kL5+apiRg9C1xGofw7ad0dff7OlchZc+mnDovMsR3mPdR0tbh+vHg6/ThdOg+pLVQAc8qsQpnWbaq/WtFFV/gghhBBCiFFhDH/6EkIIIYTIceEgJkBewuVY81SYYObvgNM7IBBzsNBig/Nu7f/2QsHogTvn8AwKxzVRVaDoQejYF3+51QHFc9Xpjn3GYMN9Uh1wdVakVr2SXwbXfA0+fRA+tgnuPQsffQ2u/2847z0w8VoV6Az1ALKjVAVZuh5f6bPqk+qAcB8dXv3R0G4vQ8ZNRQyAa5L6O/vajC3kMmiNKYjp9AR47Zixxd7hxi42Hm0xLLttVT+hokhNsBeajQEXldNV0OzvUq+dlSsTv35GaBZwTYDqy9S6znJVRdN9TAUynQey1toOgEvugvJphkWfsT3GJK2RJ7bEtJy0F0P15aqSp2iWOg/qd218RVX/ZOkxLoQQQgghMmcMf/oSQgghhMhxkSBGMwUx/n7akukhdaDx9E7j8plXQ2F1/7fna1XXt+UPri3XYJUsVD+TzYIpmBYdTt26Ve2jrkcrZCLty1KVVwLV88HmVNU2xbOhdJE6OJspkfk37pPGNkH5pbDs3cZ1dz4CHaczd9uDZA5inGO5IsbqjM4UMldaZUhdST5LJpUYlq3b22A4/9Am422XFzi4fnFtVvZnXPF3Qaup7VzFFFXJomlQcWF6z/e8aqhaDZUXqdciPRhuWfZcOCDuGXAThALpBTc2J9z4Y8OiIq2X/7N/lw37TtMT+5qhWVQgXTIfai6H2qvV66KmqXlVjS9Cx/7Ub1sIIYQQQgy7MfzpSwghhBAix/mTVcR0qZ+J2mcFutUBv9O7jMtnXzPw7Q1nW7JYjlI14wWgfacKWmJpmmoRZLGrCoaOfWpfA71qWV7d8O5vKvKqogdsu48aL7vks2C1R8+HArDhJ8O6e4n4zK3JxnJFDETbk/WcTjx/KAOumW+silm3twE9fFs9vgB/2moM4P7lgsk4bdbB3ZivQz2WBHiaod0YelFaqV4zHeWq3dhg5FWqVmAVK6LtwLoOq0Cm+TXoOQveFvW3CLjV6Y79qjLl3NNwNvyv4SVVqdIzQAA743JY8CbDojmWM3xP+zHPbX4V2vckbpNmc0HZUlUpk1+rHt9dh7Laik8IIYQQQgzNGP/0JYQQQgiRw/pmxOQbl/dXEePrgJaT0NthXD7r6oFvb6SCGIDiBapKwd+lDhia2VxQdp463X1UVcaAajFlGeSB62zrq4o5bjxAXlQLi95iXHfrr6G7cbj2LKG41mRjuSIGVJWDxaEOZHuyc99fs9AYxJxp72XvuU4Anth+li5v9HGhaXDrhWlWd4FqKdi6DRrXQ/OmrIVKo0rbAfCZZk4Vl4DVpYKJocqvg+oroOICFboCeBrU61LTBvW3qH9ene46pALkyN8l5FdzvHrrofUNdZ3+KmVu+D6UTTIsutS6m5Ktv4aG9XD2nyrsSbQNe5Hax0h7x/ad6raFEEIIIUTOGeOfvoQQQgghclQo0De8PumMmERBjL8zvi1Z+Qz1rz9BH/ja1emRCGKsDihZpE53HVaBjFl+LRTOUAccW15TB9DTbUs2nPJqo9+a7z5mvOyyz6l2QhGBXnjlh8O7fybmipgxH8RoFhXkAbiP9b/uIM2tKWJKucuw7Jk9qirmwY3GGSZXzq1msmndAQXc0PSKGtIO6oB/79n+rzMenNthPG/Lg4JSlXblZaj1m6ap16TKVVB7lXptcpSq53xkfpc1T83BKjsPatfAhBug5ko1c6ZottpGz1kV3ERef80K6+DGb+CxG6t4LvNuoHfrk9C6RVXknHoC6p+Fpo3QtkO1RYyEM0WzVfCoh6BlS3Zn2wghhBBCiEHpZ3qhEEIIIYTImkjYYnGiazEHzfQQBMPzCOyJgpiO+CBm1pqBb88XHhhuL8rsrJR0uCaoVj2eBnUgsWq1OlAZq2Q+dOxWBxI958Can3hbuUDT1AHQ1jeg+wgUTo8OB6+YA/Ovg71PRdd//Zdw8Z1QPGFEdtdcETPmW5OB+pu4j4GnSYUYjrKMbl7TNK5ZUMMvX4kGPU/tOocvGOqrjIm4bdXU9Dbe2wBtb6jngtWpAtSeM9C5X1VsaOPg75eIrkPTQeOysloVXNuLVXVdptkKoHRhautaCtVrd1415NeoaqZAjwrUSpckDpcnXUrwmrvpffIb5GvRmVP5B1+GxiOw+DKorAYtHP5Y89Xv66xQr6uuyVC6FJpfUeFd23ZVKSOEEEIIIXLGOH33LoQQQggxwpJVvQTc6kBj5NvWZu56aDC19koliPE0qZ/OqvT3NZPKlqjfzdemWnqZaRawl4UPOOZD88bc/nZ3/sTkVTFXfNHYVi3ohfXfG979i+EfjRUxgR5VAXD2n6otV8d+FVCkOivF5orOiuk8kJVdvGaBsT3ZocZufvriEcOyyeX5XDYnjedeoFdVQoT8KjyqvkwdaLfmqfsk0XNnvAj2QutJ47LiCrAVZaYtWSZF/nb5dep1vW2HqpAxc1ZQMHM1D1Z+jJBuCqfbz8LLj8CWl6ChCdxe0Im2Smt8Wc2lad4AJUvUa2hvPXQdib8dIYQQQggxYkbBpy8hhBBCiDEoPAdGtxWYlodbdtmK4q8T6IHT29WA+AirA6ZdMvDteSNBzAi0JYtlzYOSBep0x77oPJwIfyeEvGqdvFo1EyeXwxhNg6I56nT3EeN+Vi+CBdcZ19/2W2g3HUQeJuaKGGeuV8T0nIXGl9Rso5BPhYldh1TbuoYX+lr7DSjSIipSFZNhK6aWUeay97vOe1ZOxWrR+l3HwNuoquMcpVB1cbgVlhWKw4+1zkO5+5zItkA3tJ0zLisqUYFoft3I7FN/LHaoWAGF09T5tjeiwXiskgVMO+8Cvh54T+LtnNoBrz4IT30fHvsqvPQHaGpXobX7hHqdbHsjOi+mc78K9oUQQgghRE7I8U9fQgghhBBjVNKKmPDyhG3JEsyHmXoxOAri1zVss0f90zTVymakuaaoQEgPQuvrxuoG9yn1s3A61FyuWjL5OtRQ7KAv8fZGWv6E5FUxl38RrDEH6UN+eOk7w7t/Yd7AKKmICQWhbWd4yHkAnOVQeZGqpiqYrEKJoEfNwtBDA2/P5orOiuk82P+6g2CzWrhqXk3Sy6+eV83tF09Lb6PeZvUzr8bYgsw1JfxY843fioeeJuhqNS4rC1em2YtHZp9SUbJItRHTQ6rayTwzxlbAFQum8mfbddzqu5d9ocnJt6UHoekIvPIbeOr/QUOben1s2azCSkeZup22ncm3IYQQQgghhlWOfvoSQgghhBjjBgpizMtBHbgbzHyYyEFdR1l0hslI0jQoX64OqPu71be4dV396w0PJXdNUvNsKi9SYYy/E5pfzc1veBuqYo4aKxWqFsKiNxnX3/4wtAz/QXRza7KcnBET8qsWS+7woPveELzyW3j8U7DvOXBOURUiFruqbmnfldp2+6piGpMPTR+C2y+eSmzBS4HDyr+unMKTn7yEX77vAvLs1uRXNtN18ISfs+YKNk2D4vnqdPeR1KuCxpKGHajeXBEaVEyHvByshomlaVC2TP1NQwFo3hxXEegonctb51nYEFrEm3zf4vP+D9Gsl/S/3c5z8OqvYN1D0HJWbdfTAOjqtT8SbgshhBBCiBGVg5++hBBCCCHGOF2PBgrmwKWvNVmCIKZhF3S3GJelFMTkyHyYWFanGibdN8/gsDpIHvSCxaEGXUM4jLk4Gto0vgzelv63PRLyJ6h9DflVGBPrsnvB5oye14Pw0reHd/8AX67PiAl6VeWTrx16OmHjH+F3t8OOR2D/3+Hv/w7fmwOPfRAaw49p90noPj7wtm0Fap4PZKUqZsmkUh798EV8+LIZfOftS9j8xTV8462LWThhgIPoiQS6VMWLZlWtyUA9rjr2qYAmv1ZVCekhVf0w3pzbYTxfUAL5Fap6KNdpFvW65yhRf+PmjapaMcLq4MOXzcBh0Qlh4ZHgVVzh/T5PT/oUzL8JyqYn33Z3M2z8K3S1qVk0vfWADh17creaUAghhBBiHMmxT19CCCGEEONAsEcdRNUsaiB9hK7HtCZLMCPm2MvG88WToGpe/7el69F5BCM9H8bMUQqli9Xpzv3QHq72cU0ytmOyF0L1pWr9kF8dvHSPzJyVpPqriqmYC0tuMq6/8zFo3D98+0f8jJicCmKCHlUJ09sMW/4Ej/477HkcY+UD6n49+A94/BPw6u/U86hjN3hbE23VqHhOuCqmIStVMRdMK+cLN8znlgsmU+gcQuVZpILNWaGeB0EPNL2qwsqWzep3jTzWes6m1p5tLGkyPW9KKlS1Xy60XUyFxQYVq9RrfORxH+jtu7huwhxuWRR9/HTj4pPHL6Lh+gfgU9vhC6fh3Y/CpAvjt+11w+anweeFnlPqX8ivwhghhBBCCDGicujTlxBCCCHEOOGPaT+mxfQzMgQ0LuN1gj44uc24bNbVxusnvK1OdSDOYot+uz6XFEyBgqmgB1Q1hL8zOs8jljVPVca4JqhwqW0HtO9Rp3NFfp2aUREKQOcB42WXfh7seTELdHjxW8O6e/6g8b6yW9MYHp9N/i4VNLSfgCe/Adv/oqpjBrLvH7D3RfUYaN2qZsv0J7YqpiPHHjuxYtuSBXrUfePvUs91PQQtr6kA1+JQVRWR4GY8CPRCywnjstIa9Toy0GthLrE6oHKVekwGelUYE2kzp1n46Jpl2GM+qfsCIf73pXA7Q2cRzL0OPvgMvPcJmHi+cdud9bD1RQgGVFuyntPqXySQF0IIIYQQI0KCGCGEEEKI4dZX9dJPWzLzQcWeBqg3fRM8nbZkjgpjlUkuKV0UnhETUN/gDnQnXs9ihfLzoXiuOt99VB2UDgWGb1/7o2lQslCddh9XoVJEi20IPAABAABJREFU2Sw4723G9fc+DvUpzjjJAHNFjHOkK2J87dCyBRpehDPb4fH/UAPIzex5MPk8sNrjL9v4Kzi7Tx3E7j488G2WzFctv7yt6rGWa/QQ+MKt9yxOFcIEesDmgurLo1VhLa9BXrjVYO/ZEdvdYefvgjbT71s+RbVrG22seWrekc0VDtw29LWsnFhdwzuWG3+nhzefpLErZiaQpsGMK+D2v0HtEuO26/fDni2g2aBzH/g7oHWbofJGCCGEEEIMrxz9NC6EEEIIMYYFYipiYkWCmERtyU5tgGBMuyvNCjMuH/i2It+Wz8uh+TBmmkV9+99Rrv61boOufobZF89RgYxmUXNlml4xzlkYCk8jtLyuhsDHBimpyqtUlTG6rip2Yl36OXCYKp1eGL6qmLjWZNY0BsinIxSEnjPQeUjdB23bofk19a9li6peaXpVzftxn4J9z8GT34LeduN2NAssuAbe83/w7t/DR9bBFXeZAkUdnrsfOsJzhgY60GzNiwZ5Hftyb3aGvyMcLGqq5VrQo14PCmeFK2Fcqhom4FYzQPQg9J4bP+3J2g6B31QtVTFDBc2jUaTSzxb+mza8qKrpQkE+dtV8bJZoIO8NhPj5czviK78cBXDro1A0wbj8yGtw/BDYiqB5k/p/p/X1gSvHhBBCCCFEVgyhebEQQgghhBiUZEFM3/JEQcxm4/naxZA3wCDwUDA62N6Zw0GMv0sdgC6apdqS9ZyGjr3qwGTJQlUJY+aaoL5J3vK6un7jy1B5oZoVMRi+DnWbsW2euo+r7RVMBdfE1CuKShaoOSTeZnWQPL9OLS+eBsveCZt/E133wJNwZmt8e6EM03UdX9B4sN5uy3ArJ78bjj0DR9ZBw0EVDjgL1b+8QnCVQkEFFJSrsOHQy3B4I/QkmO9SXA1rPwvTrwXXZPXtf9cEuGIZWIvhuf+MruvthOd/Ajd+CTr3qpCuP4XTVTWMv0tVC5QtzejdMCSemMdfyK+CF2dldH5SoEc9JkN+0P0qOMyvC/8chVUh6Tq3w3je7oSKOarV12hly4fK1dC+Q7UP6zwIPaeZXLKAdyyv45Et0QqgB19v4uZpz7Bo6mQomq5amwEUT4BbH4H/u149DyN2PgsVNVBYqEKe6svU7ZQvH97fUQghhBBCSBAjhBBCCDHs/MmCmH4qYs6aDkBOXjnw7fha1cFwa158G7Rc4g7PfMivhfJlas5Kx1613NsEZeclHsTtKIXqS1WlgK8DmjaqA4zpHJAOBaFjl6rMABW2FEyDkEdVHPja1D9PPZSvSG0Ohc2lQqXOg2oWibM6GiZd8jnY/ifwxrRfe+Gb8J4/pb7Pg2CeDwPgsGagON7TAXv+CPseh1PbjL/XYE1cBDd8HWovSXyA/ZK74ex22PfX6LKW47Dxt3DZv6m/X3+D2zULlC5RVTnuk2q+yGADvEzrCwJDqtrF36ZmRwGQD7pbPR6teaqaRw+qOTG9Z8ZHEGNu5VdcCQWTR2ZfMsmWr2bG9J6D9t0qcGvZwscXwB+3WYgUs3mDGnf81cMTa/9MdaFVBSuVF6vXl7ql8I5fwu/fDYSf76EAbH0BLrtZzRSqf079n2AvgaKZI/XbCiGEEEKMS9KaTAghhBBiOAV96sApRL/NDKqVVbLWZEF//HyYyRcOfFuRg7rOysHt63AIBVUFDKjKE1AHCCtXhdv1hGcntO9KPAvGmqe+TZ5XrQ5Kt26JBjsDCXqg+dVoCOOaCDVXQulCVVVRuyY8U8SiQpmuFGaQRBTOCu9/L3THtFkrmggrbjWue/hZOLkp9W0PgrkaBsCR7oyYgA9ajsCR52Hzz+C3N8J3ZsDf7obD6zMTwiy6Dm75JUy8KnmVg6bBzT+FqnnG5QfXw7l96kC2Hh88GTjLowfw23YOvP5wCAWj4WnQp1qnhfzQdhqeuR9+8Xb4/V1Qf1A9dj3NYC9Vj83ehtyZlZQtQR807jMuK6vN7de3dOXXqdegollgczG5ROO9i42PzXM9Dj78ynw8Pi+cewYO/Y9qZ6aHYO71cOk9xm22n4SjJ1Q4abFD/TrVJrD7WG487oUQQgghxgmpiBFCCCGEGE597cfywWKLzn0J9qgDaZpFtSOK1bAj/iB3KhUxo2E+TO9ZdbDZ5jK2T8urguoropUx3cfVAeeSBSowiWWxQsWFqn2T+6Q6sB70QNGc5BUsvg5VSRP0qG+Kly5WByk99So8ya9VBy6LZqmh6W3boXM/OEpU6DMQixWKF6h5KF2H1D5HgrfVn4Ftj0JvR3T95/4T3vdkahU3g2CeDwP9BDG6DidehZMboe04tJ1QPzvPZG8WSfVsOO8tsPwjqT1enYXwrofh55eDtyu6/NVfq231nIwGe8kUL1CPKX+neowVThvKbzB0vjZ1/4Z86nXC0w37n4A9z6iQEVQbt3U/hDd/BVwu8LWo/Q96VDs883NjLPG1QutJ47Lyyaoybiyx2FQAXDIf9BCff2sPu9u38dqJ6OP8jWYX9+66hM/Pf0PNVmr/A5V1i7BMehNc8Xk4+iKc2RLd5u4nYPplUGCDzsPQsE5VW5UugrLluV0xKYQQQggxRkgQI4QQQggxnJLOh+mKLjcfjD/xsvF88UQoHaAdT8gPvnZ1Ope/MR6pXnFNif+9LTYoWwL5E9Rcg0APtG4D93EVnNiLo+tqmpr1Yc1TLcE6D6qQp3ge5NVGtx0KhNv/7FIHty32cCXNVtN+HVPtqwqmqMoJX5va19Ztqh1abDVTMq4JKhDwNKkgp/Li8KyTarjgNlj/k+i6J16Fg/+Eudelew+mxJ+oIsbcmszXAzsfVdUuTfvi1k9Z2VSYtATyisHTrgInTyd0t4C7Ffy9ar28Yph9Ccy9HOrOVyFbKvdrRMVMuOor8I/PRJe1n4HdT8GyfPV3tzqTX9/qUI+P9l2qosA1UT0eRkrsfKJjG+H1v4PXnWC9Lnj2x/CmL0DQDdZ89ZjuOTO2g5ju09DVYlxWOdP4OjDWaBYceYX873tXcdNPXuF0W2/fRX/e5+fP+xb1na9w+rn/xhe4+Pyr4e2/gP+9FHwxIeUzX4Pb/wxY1Wto46sq6G7fo0LvknlZC4KFEEIIIYQEMUIIIYQQwytpEBNenmg+zKnXjedTaksWPmBpL1ThRC7yd6qAQ9NU4JFMXqVq19N1RFWXeFuhcT0UzoTiuaqKKKJ4rjow3bFXzeJp2aIO1ObXqvvE1xptx+Mog2CvCq00TYUAtiJVleBpgLYdqjqhaJb65nhkf1u2QNUl0bkv/SldCo0vqn12H4PCGWr5xXfDtkegO+bg+7qvwKw1YM38W/R+K2ICXnj5+yqA8bSnv3GLHaZfAtMugJop4CodYGd6VBhTNAEKp6uga7CP0Qs+CNsfMg5xf+NxmHEx5O1WLeb6UzBV/V383eqxVbJgcPuRCZEgpqseNv4Jgv20Gms/Bc//D1z1IfCcAT0QrS4byTApm869YVqgwYQVxuf/GFVe4OCXt1/A2/7fq7h9wYTrtHjtfPzvvTxXs5nyyavgxh/An++IruDthEfeB//6eyg4oFr49ZyCxpfU6arVMOktYE8jDBVCCCGEECkb++9ahRBCCCFyib9T/TR/izsyH8aWIIg5u8N4Pp22ZKOhGmagygVQB1uLZ6tAxjVBhSldh9XA9YCpaqBgCtReDcVzVFWNv1NVyHhb1PVsBSpcAdXSyZqn5sHUXAkVK6DywujlHftUqIOmLrM6w9vbm9rvaMuPHtzv2B/d17wKWP0R47rNB1SokAXeREGM1aJmbjxwFbz07dRDmLwSNRh8wU1w3X/Aex+AKz8I05eoEMaWr+6/ihVQeZEaKF57lfqb1F4Fk98EM94Bddeov+lQgkKLFW78IRDzTf6ADzb9FnrOqtkp/dE0KFmoTncfi38sDZdQAPztqurr6Mb4EMbqhLJpxmXn9sCmPwBWNT+l95z6NxaFAtCw27isqAwKB2g/N4bMrS3ivnct67dopc1r41vPnlWVe4vfCUv+xbhC52l4+F+hZCXM+ShMvAFck1VAfeZvsPur0Lwl4baFEEIIIcTQSEWMEEIIIcRw8oXngpiCGC1ZRYy7BdpPG5elVBHTpH7mahATCkJP+PcaaJZHLFu+qnLIn6AqVnztqjqmdDG4JkXXs9hVdUzBdOg+qmbwOCvU/WF1QdsbqrrFYoPKlfFhQMl8NTumY6+qxAEVqJQth+aNamaNa5KqqhlIwVQVCnibjS3KVnwMtjwELcej677wTXUA1ZHZb6WbW5NZtBDW138G6/4Dgt7EVyqfATOuUAFA6RQorABXEViC6r4LemI26FABWf5EdZ8MZ4ujiefDig/All9Gl53YBie2qseLs0L9nZPJq1ZzaTxN6u9dcUH299nM36lCwmAvHDO1yZt0AbztAbC74BdXQ8ep6GVHNkDFRKgpVBUx3cf6ry4brXxt0HTIuKy0LrXn3xhyzYIa/vtti/nPv+1NWhnzh4P5vOPwaVbOscEN31Nha/3O6AodJ+HXN8L7n4Ip74CqS+HcM6oyxn0SDv4IWi6Amf8GthytphRCCCGEGIUkiBFCCCGEGC5Bj2p1pWnGIEbX1YwYiyU+iDHPh7HlQ+2ShJtvdft46WAjne5e6FTBjr3cw0Wz3EyvzLF2M71n1LfcbQWDC4vy68BeqgIVbwu0hn+WLja2KrI61OyDWB371DwNTYPyC5LPmCiaqQKGtu0qjHFWqzZpBZPBfQradqp5Mam0Ripbqg50elvVfIbC6aoF0BX3wJ/ujK7X3QAb/wcu/2yad0j/YluTFdLDT+z/g/a0udVT2IzL4OJPwZQV6j71Nqn91jvA2xFdT7Oqlm/5E1WQMZItoq7+Cuz7K7iboste+T+omQN5B6B0Yf/XL1kI3pegt179zs6K7O6vmT98v7YchbZ642VX3gvl09XpWx+FX15rnP2x82lYe7uqaujYqyqR0pm1Mxp4W6DxsHFZ+eRxF8QA/MsFU3j78kl0eVTVVGuPj7f85FW6vdEqqi8+r/NU7Skcmg3e+wT85s3GiqL2E/DLtXDlF1XVzPT3QNXFcPz30LFHVRoCzPqIeg0VQgghhBBDJq3JhBBCCCGGS6QaxlZoOGhtxavmkmgWVa0R6+QrxvMTzwdr/AyI5m4vN/74Zf790R38x98P8h/rLfzHegv3Pr6X6+5bz/qDTXHXGVGRtmQFUwZfPWHLV62viueGt3kSmjYYKzVi6SFVRdMVPqBbulQFK/0pmBytMGh7Q83gKF6gAhp/p6q2SWlfXTEtyvZFW2AtfDdMPs+47qs/gu7G1LabIl+4IqaWFv7g+E+usCQIYSqmw7+9CP/yayjOg8aX1YF9TxPoQdUeK79WVQtVrYa6a6F8OeTXjPycjvxSWPsN47LeDnj1/1SI5mvr//r2omhlVsee6Byh4eJrV4+tI5uMywtrYPrl0fM1C+Ed/2dcx9MFxw6qx33P6dQfk6NJ+2FoN7WZm7hUvQaMQzarhbICB2UFDmZWFXLP2jmGyw93OHhgi1dVSPkbVRhTbZp/1HkGnvgY/M+FsOsPUDANFn4Opr4bNJt6LT35B/W4FEIIIYQQQyZBjBBCCCHEcIl8691eYlhsIxwc2ArjQ4nTpn79SdqS/eLlY5ztSBxAeAMhPv7wNo40dae9y1nhaVYHnjWLmk8wFJqmZsFUrlTtyHxtKkAwH3gP+aHlNRXWaBqULlIhSypKFqoKg6AH2neFq2zCBzU7D6q5HqlwTVHVP3pQBUK6rvb5yi9gmHHi64Znv5baNlPkC4SYr53gL87/YL7lZPwKy98FH3gaHF51ANbXpv4+edWqmqTmCqhbq9p2Fc0CZ7maz5JLltwCs9calx17Xc1cadmSPKCLKJqrWpj5OsBT3/+6mebvUFVHp0yzhxa/M/5+nrMW5t1oXLbvJQi5wNMALa8Pf5CUTaEgHH3BuMxqg6mXjsz+5KD3XjSNxRON/6/8eFseJzt06DoEoQ5471+hal78lVuPwJ/vgJ9fAY37YdKb1SwnzQLn/qnalkkYI4QQQggxZBLECCGEEEIMl0gQ4zAFMXqvOmFuSxb0Q73pwOzklXGb9QaCPLblVNzyWF2eAB/6zRY6enLggFpXeNZDwVRVZZEJedWqTZi9SB1wb3wFGl5UbcW6j6lWO54m1U6r/ALVGixVFhuUL1MBTs8Z9a9gsmpfpQdVOJMKTVMtyjSrarXkPq6WT18Lc680rrv9ITj6Uur7OICC0+t5zPGf1GmtxgvyiuEdP4PLPwVtr4fvIw0Kp0HtGhVwFc6If2zmIk2Dm+6HfFO7qld/BZ1nVRAXCiS+LqiArSD8uOg6nHy9TAsFIdANp7dBT5fxsiW3JL7Omq+qx1FEwAtHD6lKq/a9al7MWOFvh9M7jMsqp4CrbkR2JxdZLRrfeOsiLDF5rjeo8b3XwjNeOvZCoAHe8weYeknijdTvVGHMi/8Nk/8Fys4DPQBn/qbmcOmhxNcTQgghhBApkSBGCCGEEGK4+DvVT5txJklfEGMzHeyu36UOsMaaFD9I/B+76ml1+wzLVk7UmVllnBNxrNnNJ36/jUBwBA+oeVvV0HrNAoUzM7ttWwFUXaKGxgP4u9Qsl/bd6rQ1T7XUyq9Jf9uOMiiarU6371JhT+kS9Xt4GlU4k9I+JmhRplngqi+B3TQY+2+fAn9v+vtqdmIji9d/mCLNtK2SOnjvY1AzWbXvAnBNhJor1aydTIVkw6moFm78oXGZrxde+l/wtkPrtv6rRQqnq7+Hr11Vbg2HQKcKY469blxeOTc6D0rX1fyaSPVV5WxY/l7j+kc2g9+pqnmaTC0NRzNvC9QfNC6rmzsu58P0Z8mkUt570TTDsqcP++lyhMPF7mPQvQtu/ha863cwYVn8RkIBeOm/1RyiwouhcBb4OlVlTOf+7P8SQgghhBBjmAQxQgghhBDDIeSPHkQ1V8SQpCLm5KvG8xWzoSB+iPiDm04Yzl88SefRd5Xx9zsvZdFEY+jz8qFmvv73vegj1booUg3jmpSd+Q4WG5SfH26jdaEKT/KqVDhTdUncfZ+WotngKFV/y9Y3VPDTF87shqC336v3KZga36Ksejmsep9xvbZj8NK3B7+/AM2H4PfvwhoyBnW7LHPh3b8BrUuFYxabajtWvnz0D3pf+FbV0ivW2b2w5WHVuqtjb+LrgQqfIjOBuoepKsbXDt4OOHfcuHzJLarKJ+iDls2q5VjDi9H5Sld8HuwxM6X0EBw5BLpfVYD5cqQV4VDVvw7uDuOySYvBXjoiu5PLPnX1bOzWaFmMLwhPHw5A5SrVTlAPqcdPEXDTV+BN/wnl0+I31LAbHr4VSlZD/gTV0rH+BfVaIYQQQgghBkWCGCGEEEKI4dBXDZOv5oJE6DrWZK3JTpiCmCnxbcn2nO1g6wnjPJTbFungrCTfYeXnt62gstBY2fCbjSe457EdePzBQf0qg+brUNUjmqbmjGST1akqX0rmqYOQ5ecPPfjRLFC2LNxarBncx9TvYS+GkG9oLco0DS6+G6pnG9d99ceqMmowuhvhobeDp92w+O/BlXyp4MsQbFLhkb0Yqi+D/NrB3U62hQLqsRP7r78WYwA3fBeKTK2rdvwDtv9JDbPvPJD8uoUz1d/D06RuK9v8HXB8A/iNYRmL36lCmqb1al8gHN7thObXwFUGF33ceJ3Tu6HLp55njc9nf9+zTQ/BEdN8GEc+TLgw92YU5YCyAgeXz6kyLPvr9rPgKFfVgJUXhVsq6qoar24GvOU/4Ly3qNe3WJ4OeOqrULpcVWu274bmzQM/94QQQgghREISxAghhBBCDIfIfBi7qSIj2ItGSB0Es7qMl53eajyfYD7MQ5uMg9drCmDNdMCpDsZNKM3n5+89H4fN+Lbvz/+fvfsOj6O6Hj7+ne3qvVi25Sb33m2MjSsGQu/NQCAkhEBCSID8UuFNISGEkEAgCRBI6N30Yhs33HuRu1wky1bvu9o+7x93V6tRs2RLxuV8nkePtHdnZmfb7OqeOedsKuTaf63iSFUnlL5qr3A2TFTW6Zt1YY1tXlos3D+m/ii42tmbo2mJMl+dChzN+T/jBLMegA9/qEpXdYTXCa9dB1XGbKlFgdH8yHcPmklTk7HR3VWm0Kn6fLgKoWiR6lHR+KdoYduPdVQSXP4MoBnH178POz6Gmj1qYrmlzDBLtHqNwsnJivFWw/61xrHsc8CmqcwWf716fjLOg8ShoXJ4xSo7Ztw8iG6SJbd3jwpgHF2oXp+nM181HNluHMvoe3zlBc8Sl43qbri8oiBISXHo2OtIhbRzoNscFaBOHAYJ/WHCjXDZI5Dc07ixkh2w7iPVM8pfC1Vb284oE0IIIYQQrZJAjBBCCCHEyeBtJRDjDzXntsSqyfywmiMqo6GRkoQR/PmLXfx1wR52F9VS4/Yxf5OxN8n1Q3SsFrMqoRUyJjuJP101vNkubT1czaVPf836gyeh3IyvVgUqIFLO63QV2xsc6Wqyu2Kjeu4M/WO8ba7eIKaXKpumB6Byo9pe34th1OXG5Y5shIUPt3//An545w61XiNbg32413cvAczYzKh+KMljTs3MgoBbleKq2KiyjUxW1ePH7ACTLVQeboMq7dZakKrfTLj4iebjq96E3Z9BXR5Ubmq5CXk4Y6v+aNcGM4IBcJVA0QHj+NBLQmXrgipTKX2qylyK7Rv5O+iFul0w7SfGdSsOQ1EZeIrhyBddt+8ng7MAig8ax7oPU2W2RItmD84gxhZ5Twd1jY827lfvmTCzQx17YvuoflAZMyD7XLjkN5DUw7jBXZ/C4SJwZKpeUlVbVcaVEEIIIYToEAnECCGEEEKcDOHSZFZjzxb8tfiDGrqlSVmyQuMkut8ay5yXj/KPxXn8bdFe5j65jAufXE59o/JiZg1uGKqrScomZWauGN2Df80ba5igAyir83LLf9ZysKyLz5yvDTXbjspsXoLtdJQ0UgUEfDWqzFVc/8jkeHVHSpSNUkEGb7XK0jDb4byfQUKTslor/w7r/3PsbQaD8OG9sOczw3CtLY07vA/gwgGAzRalzoY/FbkKVbZHfZF6HccPVD1/us2J/IQDX858Vbor/P5qatztMOs3xjFdhxVvwNZ3VJmy8nXNgznW+FCwTVeTz13FXwuFW9TzFqaZITsUOI3qpnr3NC5naI1XWUzh11vvEZA60LjdvN3g90PxYvUYnY6CPsj7GLxNsvZ6jlM9lkSLomxm5g41lhn8cHcwkpHYErNdBWW7TYcL/g9sTbIz17wCdQH1fqzZo3pkNQ7sCCGEEEKIY5JAjBBCCCFEV9ODkcyXRhkxhytdXPKfQ9yyYRI//dyFP9BoMvawsVTRGk8vqt3GM/cLm5QVOz/HRmYsDWXJmpo7NJP5P5hC7xTjJJvLG+BXH2xHb6lMU2dwl0TKSMUN6JrbONnMDkgaof6u3aeaWCeNUsEV1xFwHe7Adkaqv+tC24nvDzPvVxPyjX3yU9i3sPVt6Tos+BVsec04bo/h4z4/ppTEhiGbo0lA8FSg61CVG8qC8amsrvSpED/AGFjUTKHeP5PV4+erg9KVrQdjpt4PU35kHAsGYO2HsPo/UL0bKtY3z4wJZ8W4Ctqf5dRR3qrmJQi7j4VgrcoisyW1XD7NZFZ9jzQz+KtgWpNeMe46yC8CbwUc/qDlrJ9TXdU2OLTKOBaTqIJOZsc3skuni8tGG8uTbSnROHB4vzq+tMWRBv2uglk/wlDWTw/C6vfBkhTpa1Wzq9P3WwghhBDiTCaBGCGEEEKIruarVZOpJmtDw/hgUOfe1zexqzRAEI0Pdjh5eXWjfh6H1xk2sSXY75g3M29Y6AzlNs4W758Rxwc/OJdpTRo6L99bxsdbj7bzDnVA0K9KLIEqq2RLaHv500lUN4gJ9VSo2KDOKg8Hmiq3que9vduJ7qFeI5WbVKmyIdfD1NuNy+kBeOs2KNre4mb4+glY9bRxzGyFWfdSbDVOzNrMp9i/AQEvlK9RGSqgMl5SJoWa1a+A4qVQd8DYKNyRCunnqQywoA/KVrdeRmz2IzD2tubjO1bA0mehbH3osW8U9LCnqNerHgRXF2WV+Krh6B7jWI9Rkcnu6h1QtEAFJdxlxv2zxkaCgSkpkDPLuJ2DO8FZpwKFJcu7Zv+7iq8Oir6CEmOPI7oNUplKok1T+qWQGmszjH2wW4fKzcfuN2WJgtHfg7FXGcfrK2H/bhUEqzugMmO8lZ2740IIIYQQZ7BT7D8wIYQQQogzkK95f5jX1+WzKb/KsNg/l+bh9gUgGEQv2mq4rnEgJtrWvKdHTloUk7MCKtjTtPxZEwnRVp65aQyZ8cazyv/fxzuoru/kcjPVO1S/D0sMxA/q3G2fChKGR0pEla+D2H6Rvi8V642Bg7YkDlMToH6X6sFgjYexd8DIS43LeWvhpYtgyR/VxChA0Tb44Aew6P8Zl9VMMPMHkNEXr24xXGW1nEL/BnjKoXQ5uEtVhkf8YAh6VACicos6i99XA1XboWghVO9UrykAsw1SJqjHK+CBslWR6xrTNPjWEzDxrubX5e+ARc/CkcXNgzExfdRv58GWM1NOVO1hqC4zjqV1B+cBldmmmdT9qjuo7lv5WuN+RPdQwUBdh3GXG0uYBQNwoFAFs4qXqMf5dFG0QD3vZUeM4z1GSyCmHSxmExePyDKMfbDHhO5zQs3OY2/AlgQzH4EeTXqL7VwGfqs63rkKVcD5dMy2EkIIIYT4BpxC/4EJIYQQQpyhwoGYUDZIaa2HP33WvKxLcY2HN9cVQEUemqfOcN3mYD80DX56/gA2//p8nrlpDFP7p2I2aWQlOPjzRaloGiobRtOabbupWLuF31wyxDBWWuvh8S92H999bIm7DJyhM9qTRp6aTeFPlMkc6eHhrYLqXEgaEymZVbX1mJtQ27Gq9TRNTXDW5qneKFPugr6TjMu6q2HJo/DX4fDcTPjnubDplebbnPZd6D4QzNH4mgRivvGMGF2H+qMqU6N0pQpAWaJVRlHdXtXXRA+orI+EIaqhuCVGZb7U7lOBBW+V2pbJCqmT1PX++lAwpoVSYiYzXPgnuOBPGMouAZQWwNKX4PDnxucsKktt31/f+Q3K9SDsX2IcszjA4Vf3PbY3dJur7ltMtgpSuUvUa6yxhOHqcYpNgpGXGa87uhfKKlRpxIL5XRNM6my1+1UPkopiCDQJDPccrYIE4pguG2UMxByogq0lqGwWd1mL6xjE9IA5vzEet4M+2L4STA5wF4G7WG1PCCGEEEIckwRihBBCCCG6Wrh3RSgj5nef7KDG3XKmxLNL8qjNW20YK9KTcNnTef6Wcdwzsz82i4mLhnfj5Tsmsvu3F7D8oZmMTg2VZOpAE+sLhmUyc5Dx7PJX1hxic0FVu7fRqmAAqkIlyWJ6qTJPZypLtGp0DSrw5C4K9e8IBVWch9peP8yeDAnD1N/VO8BTBqkTYOaPIaOF3jreWijc0HwcYNI86DsWzLGgmfFajc+z7WRmxAQ8KtvFeUhls1RshOKvoHy9CqZoJhV0iO4BtbtUFpE9BdKmQMYMiOunrs+YobJfbAmhUmSrIqWRzHZjz5jy1a33dZl0F1z/GlibNCQvLYAVb0D+hyoYAGoSOiZb/e3s5AlnXw0UbDSOZQ4Ef7V6H6eMB5NFZVgljYy8xuoOqAyZMJMZksepQM3w8yG6SaBi52ZwlamsnrImPVdONd5qKPwQ0KG4yHhdYjdI7GvsFyRaNapnIr2a9AN7Ly+ULVm1Wb2HjqXXHBhxhXGsYAtU14DJpnph1exWgVQhhBBCCNEm+RYrhBBCCNGVdF1NLgJY4/l6bxkfbD7S6uJFNW4WLPjUMLYl2I8/XT2CWYMzmi1vMZswa7pqyg0dCsRomsYjlw7FYY18JdR1+MX72wgGT/DM+ertoSyHKJXRcKZzpEdKr1VtU9kO8YNDl7cfu0l2WGzvyMR/xUZVAihzKlzwEPSZcOz1TRaYeBMMmQEmuwoGJY1qVprM3pWBGL9LTc6WrYajX6qfstWqjFHtPhWc8rtUpkn8AMiYqV54NXvU75hslQViTzZuV9MgKgNSz1GBmqBfbTf82FqiQsEYu3rPtZYZAzDoIrjtE3AkGseLD8HKd+DgO5EePzG91W93aes9aI6HrxqK9hrHEkMT5amTwdZk36IyI6+x6u3GrAZrnArW2KJh3DXG9eprYO9e9XgVfQXOw513H06ErqtMo/pi1bvk4Guw5xlVQq26EvasMC7fc5SUJesATdO4bKQxK+a9XDcuPVo97iXLIycJtGXOH8ERZxzb/JV6PfnrVTC1alvn7bgQQgghxBlKAjFCCCGEEF0p4FJlhjQTbj2KX31gbLQeb9PpHWOcLO7rNZYHq00ZwYXDMlu/DU+Fmvg3O1SJog7omRzNj2YZsy1yj9SwbG9ph7ZjULdflZYCSBypggNng7gciOqmnovytaqEUsPlde2fxE8cHmlAX75WnXnebTrM/hFc8QfImUqz0loxqTD2Wrj+rzBstsqO0Ewq0BGdhddvDKxZzccuX9chuq7KZpWthaJFKqjiLlXZMJqmXpeODIjtowJzKeMgc7Z6fCrWR7KGEoaogEJbWQ8mC6RMVEHHcDAmHJSwxkaCMb6atoMx3cfALfPBnmAcLz4Iq96AQ2+q584SrfYdVFZJZynbA85q41hqlgo2hLNfmorvrzKHdF09bo1fU9Hd1ePbf6oKWjR2aDuUFaveO4Ufdm5Aqb10XQVZKrdCyTIo/Bjy34X8d1TZtHDvH2sibF8LNHrNms0wZC7YJRDTEdeM62moVFnr8fPh4Z7qs8LvVMGY8LG6NTFpMP1B41hVIRQcAHMU1Beq976zoPPvgBBCCCHEGUQCMUIIIYQQXalRNszbGws5UGacAH1gUoDLsiMTxTZ8DNaMpaymTZ+L1lbfF09oEroD2TCNfWdqH/qlxRjGXlndznJaTdUXQVWoh0XCEFVW6WyhaWoC3ZGmgm/layG2r8psCHqhbE37ygFpJlVqKlxmq2yVCjAkjYa0fjD9e3DNYzDiEhgwE2bcA9c+DqMvhah4NX+tmdWEffxAALwBY0PtTitNFvSpwFvxYnX/3MVq3JEGSSMgfSp0u1CVFUudAInDVKkxe7rKjilZps6oN1lUKa64fu27XZNZlSlzpEce63AzemucypoxO0LBmJVqgr8lWaNh3vtgjzeOH8mDTe/C0S/U5djeAGj1h9XtdYa8L4yXrXZITIfMmW0HopJGqiBf0Nf8NZUwRAXxzv22yo5pbNMi0M2qN0/RQlU+8GTw1alSe0ULoXiZej2XrlLBydo9KjPIlqyCtr1vgpooKGnSq2rwuZDcW2U9iXbrmRzNjIHG4NX/1hajp00LvXeCULlF9eRp6/Uw4QeQmmMcy10C9WVgjlYlAqu3t/4+E0IIIYQQEogRQgghhOhS4R4WtkRW7y83XDU6Q+e6ITp9E2yM7636OgzS8rFrxv4x6QObNGtv6gQDMVaziW9P6WMY+2pXCYcrO1j331utymmB6gvT3kn1M4lmguTxjTJa1qlyUpYodQZ6+To1+XksZrsKNJhs6nEt/Rqs8ZA5SwVXkrJhwnUw7XboNwkcSarRvdmuSn7ZU9WEfYjXb5xktZnNTW+x/XRdva4rt8DRBSrw5neq23VkQmw/td+ectVDoi5P9TSp3acm5Cs3Q8lSqN2rthXVTQVqotrI+mqJyayCN42DMeH3mzUW0sLBmFoV8HGXtLydHmPh5nfB1iSbbMcq2Pk2VG4DexpYYiDoI0ovb3k7HRH0wSFjLyhSe6iSa3GD2l5XM6n7HX5NVWyIvKY0k+pPFNcNJt5oXM9VBTs2qOepcptarysFvKHslyVQvUs939XbVZZUVKYKyqVPhawLode1kH0VmOJh8aPG7cQlwdgbJBvmOM2b1MtwecfRGjYdcanjS8LgUC+rw1C2ovVAiskMFz1hHHPXwYFdgKbed0Gvem8LIYQQQogWSSBGCCGEEKIr+arUb1sS+4rrDFddPVjHZI0FzcQ90/sCMMK037CMntIfohJb337QH7mN4wzEAFw+ujux9kgJsaAOr689RsmaxgJuNRGuB1Q2ROKw496X0144WyOcCVO5GRKGqqwPTzlUbW3fdmwJkH6uCgD466F0hcrwiB8QCsgMUgGv1MkQ1x/qC9TrwRqnSn81yqrwBZqUJrN0sDRZMBDq5bEFihZAydeqpJEeUEEXk1Ut5y5SgRdXofqpO6D6xVRtU6WnavNUCSO/UwVJUsarfTU7OrY/YeHsIUdapEyZt0pdZ4lRwRhrvJr8L1ujgkYtBcJ6ToDrXsZQ8k3XYd3nsO81NdEcyoqJ1ouPb18bc5dCcZ5xLL2Heh5N7QiShQN1mlltqzo3cp0lSj2mA2dA9+HG9fYsg4p69bosX6Oej86mB0NZUl+p59+Zr0rPWWJVllTSCMiYDt2/Bd3mQPJoFZipr4SP7wdPk74l468MlbaTQMzxmDYgjR5JxkyiV1YdUgGYuBx1/AgHfEuWR94/TfU9D/rPNo7tXgG1h9Vz4y5VP8cqdSaEEEIIcZaSQIwQQgghRFfRgw2TWn5zQrOyZP2TQbeqkkiT+yYzsU8yo0zGiVGt+9i2b8NTriaMLTEnVLYn1m7hyjHdDWNvrivA429H+aJgKBsh4FZBgOSxbZdWOhuYrKqPiTVOPS7VuRA/RE1+OgugZu+xtwGhYMK5kQybslVQulJlmDjS1AR2da7KRPLXhybhJ0YCIyFef5PSZOZ2PD8Bj5pULV+nSnSVr1WXAx4VVLKnqn4euk/tW9Cnnnd7israSRyqAgsx2Wo/o3uoUm3xgyBplJqM72gWTEtM5lAWUkqjYEx15PFLn6p6p4AKELQ22dxvJkz/P+OY2wlrP4T898CRBZoFi17fenZNexWuAHeTjLO0nuoxay9rfKSXTN1B9RNmT1EBjql3gLVJkGvFfyEYE+rps/rE70tjfpfK3qrKVc+B8yBYE9SEf2wf9dpMP08FEC0xUF8Fuz+Ht26BvwyE3Z8Yt9d3PPSapAJO9pTO28+ziNmkcdNEY1bMx1uPUuEMlcS0p6j3SPhYVbpCBVFbMvu3GIKVPjfs3arKz2kmFeCrzlXHIiGEEEIIYXCW/4cshBBCCNGFfDUqGGOyUlBratanIycJNfkFaJrGUzeOZorjoHEbxwzEnFhZssZublLCpqzOy+fbi469YtUWNelqsoXKaVmPvc7ZwGxTZ5uHM1rq8lRgAqBmF7iOtH87KZMgOivS8LxmlwoolK1RrzOTRQU40me0GJBrGoixt9UjxlcTCr58qTJg6otU5oslSpURi8lWZaK8FSobS9dVUCh1EnS7QGWhxA9QQZeEQapEWsp4FRhIHKoazsf07NzXSUMWUqh3SukKVW4J1ARx4rBIqTdfjXrswsGrxqY9oAIyjZUehg1vQuUG9OieapNOY+Zah+1pEnBwxEBSL4jO7th2ojJVeSlQZb/cpZHrortD1rkweZ5xHa8TVr0HliT1mixboybST5S7NNTzpxo8FRBwqeCLPVU9/+lToaYcFv8eXr0GnhgKf+oFr18HOz5Qpcwas0XBxJtUQ3h7igR3T8C143oYgq/eQJC31hdEFrBEq4CvI0N9ZlVsjPRcaixjCIy83ji2dyVU5YM1SfX7CfqhcmP7SjAKIYQQQpxF5NusEEIIIURXCZ91b0tiX4lxojM5Sv1gTWgYS7d66OYrMCx3MgMxAzLimNAn2TD26upjlJmp3afOntY0VQ7JEt328mcbsz0UjAn186g/CqHJfCo3RXqaHIvJrDKNMmdC4nA1AW+yqMnpuH6QMUsFOFopa+VpEgS0tpQREw7AFC9WZcRcBaGMK78KJmFS++/Mh/ojaqLVngJpU1QQxpHWvrJaXcVkgdSJaj/0gGpAXrk1MiEclaGycGJCj7+rUJXPqt4VaVRuMsGVz0FclnHbu9bBzjdUY3I09b5rrYTTsXhroGCTcSytpwpeHc/jF5ejso10XT1/jfcrvj+MuhlyphjXKdkFuzao12ftPpXtFPR1/LbDavepUmcBjypPZ41RxyRHBiSMhu2fwL+nw7PnwLI/w94voeZw69vTTHDOrRClAtVE9zj+fROkxNq5aLgx++zVNYcIBhuVLDRZVMAs/FhXbmk5mDLj5yo4HBYMwM7V6j1hiYNAvQrEVe/ognsihBBCCHH6kkCMEEIIIURXCU+ytxCIyUkKTYBZ4iODRzYDjSfGrJDZRq+VgEdNnkOnBGKgeWPntQcr2FVU0/LC9cVqwh4gYZiUDmqNJUoFY8KN43016vnSg1C2VpVzave2YlSvkpTxKvsk6yJIGGKcGG2Br2lpssYZMUEfVGyGgg9UJknFJjWRak8NZSJYVBDJ71QBN1uimvxPm6KyX+zG4N03KlwSLn6Auuw8FOqtE3r/me2qLFr6NHXf9KBqIl+6LPJ+jUmFa15SE9MNdFj3EVrRIryEggO1+45vHyu3qSybxtJ6nlhfpaSRkQBU0wyXpJEw80FIaFIGbtvHUFEHgTr1OJWvjwSk2iucPVG9M9KvypGuslhicmDbV/DXEfDJ/XBk0zE3h8kK/c6Bi38FPQaAya5eh9Hdj72uaNO8ycZje0FFPUv3lBoX0jT1OjQ71Pu9Zk/zDSVmw/g7jWP710FFvnr+TDZAV/2BXG0E24QQQgghzjISiBFCCCGE6CoNgZjEZoGYfkmoSWGzPTJYuMG4fuYwsNhpVbh0jDX+mBPx7TV3aCapscbbfGX1oeYL+p2q/Ayofg+hRuaiFZYYlTVisqnyPbpPNS8PN01vWpapPTRN/bRD07J4DYGY+mIo/AiOfga1e1QcMGFIqITYoEivl6SRqrRXt7mqxFTC4FMrANOYpqn9Tg31yvFWqSyfio2RAIUtQQWRUsaFAmR1KmBTvVMFF7InwvSfGbdbW4lp49vY9FDJwfqj6n3QUdvfgIDfOJY1EGJ6H8+9VTQTJI9TQbKgF8pXq34foB6PzKlw4a/B3KQc3PL/gJ6o+ha5CtVrMehvuvWWBTyqX5GrUGVNBb1gS1av8Uon/Pc6WPrHY/cLMVkgaxRc9Bjcsxxm/gASk1V2nWaCpBEdfDBES8ZkJzG4W7xh7I11LWQ8mqyRoGDdPhU8bmrqT8DeeFs6bF6gPpM0szq2gcqqCfdrEkIIIYQ4y32jgZhly5ZxySWXkJWVhaZpzJ8/33C9rus8/PDDZGVlERUVxfTp08nNzTUs4/F4uPfee0lNTSUmJoZLL72Uw4eNZ95UVlYyb948EhISSEhIYN68eVRVVXXxvRNCCCHEWS3gjUzS2pLYV2KczOqfrKsASmNNAzEnsSxZmM1i4vrxPQ1j728spLq+Sdmiqlw1YWtPPrEz+c8m1rhQMMaqJic1kwrE+epCpaE6mI3QAU17xNhMusrGOfSmyoAJBlTJs25zIHO2+kkaEen1EpOtSnudTv1/HOmqMXxUKBPEVdgoIBPK8orqpsqVhUt71e5TfU78LpjyY+g2yrBJbe9GUp3bI1lMtXkd2ye/G/YsMY6l9oD00U0ycI6DyaKygayxKvhRtjoS4DOZYcD1cO5dxnU8dbDkBYjKBudB1eelbNWxA4O+Wij9WgWbdR3QVBaM2wmLn4d37oSqFgK4ANHJMO5WuPxZ+P4qeGg/XPcv6NkXXPvUbfuq1WR+3IBQWTxxojRN46aJxh5Ei3aWUFrrab5wVDf1vtH1UIky3Xh9TAqc80Pj2NGdUJCrsrICbvX5pgehYv3xBZqFEEIIIc4w32ggxul0MnLkSJ5++ukWr3/sscd44oknePrpp1m3bh2ZmZnMmTOH2trIRMZ9993H+++/zxtvvMHXX39NXV0dF198MYFA5B/ZG2+8kc2bN/P555/z+eefs3nzZubNm9fSTQohhBBCdA5flfptjUXXLOSVGs+cz0nC0B8GgML1xsvfQCAG4IaJ2ZgaJVo4vQFeX9vozGl3KbiLQ2VsRkoT7Y6wJajMEs2sggEmu/rbWwkVG5pPeHYSX9MeMeXL4chn6jXkyISsC6DHZSr7xZ7c7kybU54lSpVxy2gakFmqAhXuUhVcSh6tljPbQ0GGFRB0weXPGIJPGjo9C9dBfZE6+99VoDJD2qtkNZQ06QPVcyAkDO2EO4vKjEuZFCmDV7YikpFiMsO0hyFnmnGd8gOw5i2I6q76/3gqoWxly5ksQb8qOVW6QgWjNFMoM8sMxXnw/i9h78Lm62kmyJkB170M96yAqd+HHn0hUKDKwtXuVZP3ZjugqcCfNU71PxKd5tJRWTiskeO1P6jz/qZWyoclDlfBPW+lKl3X1OS7m/dS2vC+Cizrof/FzVHqdVK2omMlGIUQQgghzkDf6H/NF154Ib/73e+48sorm12n6zpPPvkkv/jFL7jyyisZNmwY//3vf3G5XLz22msAVFdX88ILL/CXv/yF2bNnM3r0aF555RW2bdvGwoXqH4CdO3fy+eef8/zzzzN58mQmT57Mc889x8cff8zu3btP6v0VQgghxFkkXJbMmkhRjZs6j7HcjwrENMqIqT0KtUXGbbQViPHXR3p2dHJvlu6JUVw4rJth7KUVB1VWha5DdShDOaaPOvtedIw9ORSMMalgjDkK0FRwq2prl9xk04wYu7tATZ6njIfe14dKdLVRBu90Z41X9zV9GkRnqfeNu1QFY4qXqgylqEx1vTVOBQVKV0JiN5j+kGFTdq8T05ZPof6ImnSuO9D+/dj8ijHYZjJD9jDVc6ezhHsSWaJCJde+btQjxwJXvwyJTSbQ962APStV1pO7SAVxihaqgEttnirvVr1TjVVtV32Fwq8XXYftX8LH/w+cTXqOAHQfDd9dClf8HZLjVMCxdp96/IPeUN+hFFWazZasJv81iyqHJ0HeThXvsHJRk2P7G+sK0FsKAJsdED9Y/V2zUz3njdliYM4jxrG6Ctj6CaBFemE1lP77Wr2OhBBCCCHOUieY/951Dhw4QFFREeeff37DmN1u57zzzmPlypV873vfY8OGDfh8PsMyWVlZDBs2jJUrVzJ37lxWrVpFQkICEydObFhm0qRJJCQksHLlSgYOHNji7Xs8HjyeyNltNTWqfIHP58Pn87W4ztko/FjIYyLEqUfen0J8szRXKQT86KZYdh0x1siPseqkRfnxEdXwHg0WGLNhdFss/oTe0Np72FWEFvCDLQk9oEOgc9/rt03uySfbjjZcLqpx88GmAi7v70VzV4LJhh7Vp/X9O0P5AkHyK+rpnRKN2XQCWSPmBIgfiVa5ATxV6CYHWsANNfvRgybVn6UTefzGQKDZEY+vx3kqmKaZzp7nUYuGuBEQlQPOA2iufHBXQNES9LhB6vFInIBWsQ68FVC8HH3EVVh2fIhWFAmSafs2EkjrCZk+dCzotsxjl9Dy12HZt4zGrxo9ozeB+AEqgaBT38N2dT/K14C3DoqWoidPUD1kzDFw7ZtYXpyN5ov8v6OveY1AYndI6w2eGtWjxVWifhqzxKBbk9DcReCpxbTiJUwH1zTbAz0qicCsR9D7TUZz5kFZnsqoCXrRrQlq++ZoMFnRPCWqX1F43dh+oMWePa/Lk+jK0d14b1Nhw+X9pU7W5JUytldS84VtWWimPPDVoFfvg9gmAcNBl2Pu8Rymw2sbhvRtC/APnIsWnQC1B9GTxqLV7QFvDRQtQ08aA46Mrrp7rZLvxUKcPuT9KsTpQd6rEe19DE7ZQExRkTojNCPD+CUtIyODQ4cONSxjs9lISkpqtkx4/aKiItLT05ttPz09vWGZljz66KM88sgjzca//PJLoqOjO3ZnzgILFiz4pndBCNEKeX8K8Q3QddIDm9DwU26uZ1FRLGBuuDrD6mTDhu0UmyPN1g+tfI8BjTZRZstm5Weft3oT8YH9ROllOE1Z1Jm6phly3zgz+2sj08ZPfraV7ofWY9L81Jh6UW86u44vlR7463Yz1V6NjCidHw4NEHuCLVPswUoSg/sAHR0Tmh4EbT1OUzfqTD2Puf6xaHqA+MB+vN7+NP7qv6Ygg6Kq3cDZnSGu6T4Sggex65XAWrxaItWmPgQxkRjcHxpfhy/hIqYU52IKlVzSAH3tZxzsNxm3NY9K024qLG2XF0uvX8fkimLDWKE5jj1byqnd/mmX3b+k4B6suhOd1VSZc/BqiQBkZ13P6EP/jSwb9KN/8Vd297mYuuhMXFo6QWzYqMGm1+HVYqnXUjHpRcTqR3B4Khlw6DNiwiUSGymJG8aGXncSfaiY2IP/wKq7MGkq+OwlAb2FTBcdC/WmZOq1VPzaAaADmUai3XQdUh1mytyRY/tfP1jDjTnBFpd3BMtICO4nqG2l1DSiWZZSYsxFTGMdGiqrRgv4cH7+GLnZ12DGT0DbRrk2iET9ADa9GliDR0vCacrAp8W3cItdS74XC3H6kPerEKcHea+Cy9W+EqynbCAmTGtSn1rX9WZjTTVdpqXlj7Wd//u//+P+++9vuFxTU0PPnj05//zziY8/+V8YT1U+n48FCxYwZ84crNbTqHmrEGcBeX8K8Q3y16GV6KCZ0TMvYPlHO+FgpA7/yB5RjJs8Az1tasN7tZ+jyrCJ5OGzuWjmRa3ehFa8CAL16CkTwZ7WJXfD2ruEu1/f3HC50GXC32005/SORU+bdub0EWmnn76zjWqvyhIqrtfYovfi9xd1Qm+P+qNolRsBHV3T0IJB0DT02N4QP+T4t+utQCtbDZUufOvMhqtmnDeNQZlxJ7TbZxTnQbSaHaq5uNmBnjwRLBdD1Wa0+kL1Xs56EBY/2rCKJeClX+V+ghO/BVY/wZ79IK7lbHuchzB99ZphSLfa6TZ2OhmDv6N6u3SVoD+UeVUKaOiJwyA6G/QLCH5ag2nz+w2LWoNuhuZ/SuD8+yE9W93vqPEQlQXuEjRXAeh+tCMVmJbMR/PUGm5KRyM47SGSxt3MnJJFaE43BGPRowapLAhNU5lDFtU7C82kevBYE1WvIilFdlIcjjvA4wv2NlzeVm1l2qzziLW3MD2gB9FKvoKAGz1xJEQ3DxDrH+9F2/Jqw+XE6kImplZBr2nqObWnoideBLW7VBZamDUWPboX2JLAEtelnynyvViI04e8X4U4Pch7NSJcSetYTtlATGamaqZZVFREt26ROrYlJSUNWTKZmZl4vV4qKysNWTElJSWcc845DcsUFxvPPAMoLS1tlm3TmN1ux25vXifbarWe9S+ulsjjIsSpS96fQnwDvHWqF4M9GWw29pcZz5Dpn6JhiUqB8HtTD2Iq2mxYxtxzPObW3rt+J+ADiw2iM1SfiS4wd3gWfRbs5UCZs2HshS0Wpo0dCbYunDg+BdV5/Hyxw/id8r1NR7hn5gCyU04wW9qaDRYLVG5Up6ubzKrZdX2+eh0lHkewx1UIZcuheg8+k4aOcYIz2mGTz4bGEvtDTIbqX+Krg6p1kDYZ0sZBuQ7uEsgZSTB/Jqa8rxpW00oLMO/fAgPGYj7yAfS7E6KaZOO7DkNtLhxYaxjWuudgTp+A2XGMkmYnzAoZ56j+Q84CqN0B+CB+IMz+LZQfgILNkf3yubB8+QR869eQ2gM8R9UPAH7YvRxWvRRpyB4WlYR2xT8xx5owH/qPKkNmdkDyWIgboPqF2JLO7F5Ep4lrx2fz10X7CARVFovLG+CLHaVcPyG75RUS+qseQe4CSOjb/Po5D8Ouj1RJuxDLug8gfQDEZIK/Cmo2QspESBwIdfvV+yLogrqdagXNBNYE9RpxZKjPzy4IzMn3YiFOH/J+FeL0IO9V2n3/T9lTjvr06UNmZqYhvcnr9bJ06dKGIMvYsWOxWq2GZY4ePcr27dsblpk8eTLV1dWsXRv5x2fNmjVUV1c3LCOEEEII0am8leq3TZ0okldSZ7g6Jwk14RQS6yludmY53ce2vv1wKSBbUpcFYQDMJo3bz+1jGFuar7Gn2tFlt3mq+nx7EW6fsXSPP6jz1Fd7W1mjg6KzIGl05IzwgAeCHjVhWb6+eaPstjgPwdEv1cSpLR5vYvPvvDbzKftvwDfHGg9p56o+KkEvlK5UDceTx6lJYd1PcNJ11FsTjevtXAPFeeCvh/w3oHqH6ncS9IHrCFRuhsJ1UFthXK/nIEiZdHLum2aCpFEq+AJQuxcqN6nX3YW/gh4jjcv7XPDJI7B2PhTng8cFO5fC2z+DlS80D8KkDYLr/wlaPpQuV0GY6B6QfS10vxQSh0FUpgRhThHp8Q5mDDRmUr65vqD1FWJ6gcmi3g/u0ubXx6bDeQ8ax+oqYe2bEAxAwA3eKihbobaTNAK6zYGEwWBPUWN6UH121u2HslVw9AsVGHWXNL89IYQQQojT0Df6H1hdXR2bN29m8+bNABw4cIDNmzeTn5+Ppmncd999/OEPf+D9999n+/bt3HbbbURHR3PjjTcCkJCQwB133MFPfvITFi1axKZNm7j55psZPnw4s2fPBmDw4MFccMEF3HnnnaxevZrVq1dz5513cvHFFzNwYCulA4QQQgghTkSjQEyl00u502u4OieJhiANQKJrv3H92EyIz2p9++FAjD21E3a2bVeP6UFStPEMn38v29/K0meu9zcdbnH8vU2FHGyUMXRCortD6mQw2VQjc389+Gqh/iiULFMTmcdSuxcKPlCTmfZUSJmIL3lys8VsFgnEtMhkhdRJ6v0Z9KkJYV81pExQgRqbnX095xp7nOhBWLsQjuyE+hIVwClfqyaSKzdCfSnkfmG8nahY6HUuOFJO7v2LH6ACMpqmsqbK10DiEJhzH/QcZVzWVw9b34GPfg4vfxdWPAe1LfTY7HsuXPRT8B4AVwFYYiHrQsj5LsT3V5Ps4pRz7ThjibFN+VXsLqpteWGTVZWzA6jLa3mZiXc1P4HgwBbYvwzQ1WvDUwGlX6tgMUBcDqSdA90ugMyZkDwGYrJVwC7oV4HMsjVQvk4dD4UQQgghTmPf6H9g69evZ/To0YwePRqA+++/n9GjR/PrX/8agAcffJD77ruPu+++m3HjxlFYWMiXX35JXFyknvVf//pXLr/8cq699lqmTJlCdHQ0H330EWZz5OzQV199leHDh3P++edz/vnnM2LECF5++eWTe2eFEEIIcXYIBsAfmsyyJbGv1JgNYzPpZCea1KRuSFLTQEz3sW3XynefvEBMlM3MvNGxhrH3NxWyr0mWz5nsaHU9K/PKW7wuENT5e2dlxYA6Ozx9GtgSVGaGyaR6e/hq1ARmbZ56jTWlB6F8Axx6Ry0f1Q26zYXUSXiDzb/yS0ZMG8LBGHuKmgwuWw3+OkidCJYYnDFpBEdfbVwn4IP1i+HoAfA51URzoB78Llj/GhTsMS7fY6CagP4mxPRUmTgmC3jKoXa3Kqc2+0fQa3zHtjX6SpjxXfCXqYny+CGQfbW6b2dZD6nTzYxB6aTGGjOUnlveRpA9to96Tt2h41FTZitc+RxYm5TaW/MuOCvBng41e1SwuORrKPwUKjZBfZH6zNQsqhdR0kjInAPp50JsX3Wb9UVQvFgd//Rg89sWQgghhDgNfKOnJ02fPh1d11u9XtM0Hn74YR5++OFWl3E4HDz11FM89dRTrS6TnJzMK6+8ciK7KoQQQgjRPr4q1efD7ACzg73FxrIqfRLB4kgyTFImOpucYdx9TBvbr1VlkzSzmqjvakE/8wZX8+81Om6/2udAUOfxL3bzz3ltlE87g8zfdIQ2vrIyf1Mh98zIoW9abOsLdYQlClKnqJ4ersOg2dVvs0OVhKrZBfY0iMoAc5QqQVa+TmVugJq87H4JOFSgzuNvPnEpGTHHYLKofhbla1UGWtkaSJ2MnjKJgLYaffgFUJkPB1ZH1gkGYO0n4PVC/6kQ8ML2T2HX2ibbNsGAKRDX/+Tep8YcqaoMW/ka1RNH04AgzLwb1r4HuR+1vX63YTDyW9BjuDrmWRMhqgckDIG4fifhDogTZTWbuGFCT576al/D2PxNhdw/ZwBZiVHNV7BEqwCv64gKiCSPbr5MSj+44FH46IeRMY8LVr6seg7FD1KBYudBVa6scjNYHGCyq0xAk00FQGP7gC0ZYnurDJmqrSqbpnoHuItUhprp7K5FL4QQQojTj/wHJoQQQgjRmcLlo0Klx5pmjuQkYyhLRsBLYv0h4zbaCsQ0lCXrmkbGzbjySXP4uWO0cdLr89wiNuZXdv3tf8N0XW9Wluz8IRlE2yLZ10Ed/r6oE7NiQPX+SR6tsjDsSRDTGzBD9W4VeClbDUc+g/3/haKFKghjsqnle9/QEIQB8AWaB2KskhFzbCazmvC1J4fKlK2GoJ8K0yCwxsKM70P/84zr6Dps+hLefQQ++T1s+Lj5dkfPguzZXdrfqV2scaGeOAlqvwMu8BTB5Gvg7q9h7h8gezIQDhpr0H82XPZb+NbPoOdINRluiVflyCQIc9q57ZzeOKyRY4E/qPP88gOtrxAben7rj6g+Vi0ZcwsMutg4dngbLP4HxA9WpfFSJ6nsKVsSBIPgrVFZL85DULFRZcsc/VL9VG6ChGFqPZM1VN5sZeu3L4QQQghxipKCvUIIIYQQnclXpX6HslWalibr16Q/jFaci6lp4+usFs40DjuJ/WHQg6rXCPC96f15NXcfVa5I0/g/frqLN783Ce0MLkGUe6SGPcXG5/D2c/vQLz2WZ5dEMpk+2HKEe2f1p19nZcWEOdJV9ourAGp2gyNNlbvyVamgX9CnlkkcCSnjVTZNE94WAzFn7nPWqcLBmLLV4K1Cq1iDho6eOhmq1sG0O8Bqhx1fGtcL+KGssPn2RkyHvuMhcfhJ2f1jMjsg9Ryo2qIueyugchsk6qrnx+QfQG0xHF4DNj/YQwFZW5LKxqo/ogLCiUNVJpY4raTE2rl2XE/+typyMsAb6/K5d2YOSTG25ivYEtVz760EZ77qAdSUpsElf4fD66GuUU+hPUvAfTfc8C5EJYXKeNaB3xkp4+evgbp8dXzzlKtMQEeaOtbF9VcBnPK1oVKNK1RPrRaOeUIIIYQQpyI5FU4IIYQQojOFM2KsiQDkNc2ISdKNgZgjm4zrp+SoSaqW6LqanIKTE4ipP6r6PpjtxCf14p4ZOYar1x6sYPHuklZWPjO8t9E4md49MYoJvZP57tS+xDTKitF1eG1NftfshKap8jwZM9VEZNpkyJgOWRdAz8uh3x2QMa3VCUlvk9JkNovpjA6edTqTVZUps8ZBwE1ycJcqD5g6WWWTTJ4HIy4+9nZGXQT9RqisEXty1+93e5kskDxWBfLiBwJBqNgAe5+Fwo+hZj3EaSoIo5khcRjYUlQQBiQIc5q7c2pfzKbI8cDlDRgCM83E9g4teIhWazbGpMAV/1Svl8byN8BLc6GmQAU5bQkQnaXeE0nDIW0K9Loasi5U2X2JI1SJv+pc9VOxERKGqmOd3wllK9RvIYQQQojTgARihBBCCCE6S8CrzuoFsCXg9PgprKo3LJKT5gBzpEGydnSjcRvd2+i74qtWGRAmK1gTOmuvW1cb6h0Q0wdMZuZN7kX3Jr0D/vTZbgLBNhqonMb8gSAfbjliGLtidHdMJo2kGBs3T+pluO69jYfx+JtkN3Umk1mdHR6TrSbMk0aqSXFLdJurNS1NZpOyZB1ntoXOvo/DpHvRylaqs/LTpqqJ6fHXwYx7IHNwyyUDh10A/YZCTC+VvXQqisqEzNmQNk1ddheriW93qbpsT4G4gSpAWxc6NkgQ5rTXMzmaS0Z0M4y9tPIALq+/5RWislQZRH+9eo20pt8MuOH15gHi4t3w9AR4+wbY94UqTdaYyareUxnTVWAmYQhEdVcZga4C1S8mYZgqD+ivV2XK/MbPWSGEEEKIU5GUJhNCCCGE6CzhsmTWWDBZ2V9abbhaQ6dvuvFMeK1wg3EbbQViGsqSpYSaa3eh+mI10ayZG86AtlvM/OT8Adz/1paGxXYX1/LOhgKuG5/dtfvzDfh6XxlldcY+BFeM6d7w9/UTsvnXsv0NlytdPr7ILebSkVknbR/bw9NCRow4DmY7euo5eLWNoAegfJ0KRCSNUOXhzDboNwk8TijcDoW54CyH7JHQI1tNYEdlqmDMqcpkhczpEJcDVZtDgWUTWGJUGalwRp6mqcyE2D7f4M6KzvK98/oxf3Mk6Fzp8vHWugJum9LC86uZVDC4dh84D6rXdGsGzIVbP4RXrwF3VWTc64LcT9VPTAokZUNsBsRlqqzQnAtC2aEZYJ0GlRvBEqcCgH4noEHKOKjaBr46KF8NqVPUe/CboAcjpSIJquODZlXHBck+FEIIIUSIBGKEEEIIITpLk7JkWw5XGa7OTgBHTKNAjLsGyvcZt9GuQMxJKEtWu0f9ju2jJmdDLhvVnX8v28+uotqGsUc+2sGY7CT6Z8R1/X6dREt2lxouj+yZaOgB0yc1hkl9k1m9v6Jh7M11+adcIKZZaTLJiDl+JiuVpv7o0dngOQJVuap5ePwgdQZ/bR7YyqFfLPSdCATBVQj2dFXaLHXSNzdZ3BExPVTJqNo8dSwIl38yO9QkfEwv9bc4IwzuFs+MgWksbnTM+/ey/Vw9riex9hamDGJ6qUCMu1S9NiwxrW+85wS4/Qt45UqoaaFvkrNc/Rj8EuIzofcUGHw5DLxIvQ41TWXG1OapgFDSGKjcFArGrFFZa6aTPMXhq4OK9eCrbX6dNV5l9DjSTu4+CSGEEOKUJP+FCSGEEEJ0Fm+l+m1LxO0LGJq5AwxMwdAfhqOb0WhU1stkgYxhLW9bD6oJX+j6QIy7VAWVNHOzskNmk8bPLhxkGHN5A3zvlQ3UeVopZXOaWnOgwnD5/CEZzZa5YYIxE2jFvnIOlZ9aPQsKKlyGy3ar/AtwQjST6l2RMERdrj8KJUugeqfKHkufBplzIWUCmBwqE8YSrXpetDVhfarRTKoZe8Z01cMjZRxkzlJl8SQIc8b5/nRjD7Aj1W7ue2MzwZZKT1qiwRE6HtYdPPbG0wfBHV9C//Pbv0M1RbD1XXhzHrw4F4LRkDwa4gaobM2aPSprK3GUKpXmrVIBET14jA13IlchlCwDT6kq0+arUvvhq1aXvRVQtlr9+GpO3n4JIYQQ4pQk/4UJIYQQQnSWcEaMLZEXVxxs1h/m2iGaOkM2rGlZsoxhYG1lgtNbpcqdmGzqzPquFM6Giell6GcTNn1gOteP72kY21/q5KF3tqK31rz5NFPt8rGryDhxNrFP8wbrc4dmkhBlNYy9ua6gS/etI3Rd59U1+YaxwZnxrSwtOiSuH2Scp0oz6Tq4DkPRV6rB/dHPoXwtBL0qwJoyHmyJ3/QeHx9LTKhPR7eW+9+IM8L43klM6G08xi3cWczjX+5ueYVQyUpcBRBsR2+shB5w09tw33aY9WtIHdj+nStYD89Mgh1fQvIYFQz0VavgZ80OSB6nThxwl6oMma7+HNKDULlV9VDyVoHzMNiSVTasLVH1cLOlqFJ+vlq1XyXLVeBGCCGEEGct+SYthBBCCNEZ/C416applHscPLPYWHJsYpbOrP7xxonMw+uN22hPWTJHV2fDlKnMG82kJppb8fClQxnW3Tih/8m2o/xnxcGu3b+TZP2hCsNcnt1iYniPhGbLOaxmrhjd3TD29obD+AMn8azsNmw4VGkoIwdw/YSerSwtOswar4Is6VNVPwgwTgKbrJA0WkoTiVOepmk8fs1IkqKNgeVnluQxf1MLAQR7Gj4tmqM1Prx1HQg+J/aEqT+BH6yB76+Eq16A838Hk34AQy5TvWJa4quHT34K790DUf0gbiB4KqFqK7gOqvehZgLXEaje3v79OR6Vm8F5SAVh/LUQ3V2912N6q/5Kcf3BlqCyhkw21V8p6FOBm9p9x9i4EEIIIc5U0iNGCCGEEKIzNPSHiedvX+VR26RM1y/P1dHsjc421nXIX23cxqnQH6Z2r/odk91m+SGH1cyzN43l4qe+prre1zD+6Kc7yYi3c/GIU6tPSkc1LUs2OjsRu8Xc4rI3TMjmpZUHGy6X1nr4alcJ5w9to4n1SfLK6kOGy9nJ0UzrL0GBTmdLVKXHAh5AV2fnY1ITw9KsW5wmslOieeamscx7YQ3+RiXJHnx3KyvzykiOsZMUbaWwqp6th6vZedSDx28iwZ7LS3ckMDo7qY2tN6FpkDFU/TSm61CyA/YtgrXPQbUxo4/9y+Dt78F1z6uTH2p2Qdka6Jaggp4VG1S5NJMd4gcc/4PRmroD4MyHun3grwd01Scmrh84D6rgrDUeYvuprB3nIdBt4C1TmTLVOyFQDwnD5NgghBBCnGUkECOEEEII0Rl8VQDk1cQ0KwV1xWALw9O9xv4wFfvBVWbcRq/JLW87GIj0n+nKQIynQgV8NBPE5hxz8Z7J0Tx53Si+/dK6hjF/UOee1zZxoNTJPTNz0L7hiaY9xbUs2FFMvTfAvMm9yIhvX2+LpoGYCX1SWl12YGYco7MT2ZRf1TD2xrqCbzwQU1bn4dNtRYaxmyZmYzLJ5F+XaaGUnxCnk8n9Unj40qH8cn4kq8TrD/LW+sOtrlPtgXteXc+in87EYW05YN1ujQM0Y2+DL38BG/9nXKZkJ7z/Q7jqHyqo4TwIRYug5xWQOByqtkHNbpWNEi6h1hk8FaokWfk6FWSxJYE9BaqqYM/L4HNBMKhKl9ljYfCl0H26CtpoaeCvATQVKAq4IXmslPsTQgghziLyqS+EEEII0RlCGTGPLnMRaHQmsd1i4qcTQxkjjQMx+asMq+sx6ZDUp5VtV6iJHUtU1zb7DveGie6hbqsdZgxK54czmwdt/rJgD/e/tQW3rx29AzpZWZ2H55fv51t/X875f13Gn7/YzdOL93Hh35Y3a1zfEqfHz/bCasNYS/1hGrthfLbh8pLdJRxp0iPoZHtrfQHeRiXSbBYT14yTsmRCiLbdPKkX8yb16tA6hdVeXuzs0pSOeLj0KbjxbYhtEtg+vAE+fBBSzwF7murRdOQTVQYwnAlTtU2Nd4aAR/V9qs4FT6k6KSJ5PBw6DJ//FTYvhNyVsHM17FoLW76Ctx+Apb8Ga4rK0LHEh7JgglBfFOojdfI/I4UQQgjxzZBAjBBCCCHEidJ18FWz6jAs3GNs8H7H5Ey6x+qqzFfj4MahJoGYnpNaL1PiKVe/uzIbxl2iGgprmqpv3wH3zR7AzZOym42/v6mQIb/+nLG/XcCcJ5Zy63/WsmhncWftcYtW5pVx3mOL+d0nO8k9YnwuKpxevvvyBuq9bU98bcyvNATTLCaNMccoufOtEd2ItUeSzYM6vLmuA30TWqDrOuV1HoLBjjeeDgR1Xl1tzMy6eEQ3kmNsJ7RPQoizw68vGcK0AR0rY/iPxXspq/N0/s4MOB9u/6x5MObAMvj0EUifCZZYqN0Phz9SZcHCmTAVm8B5YsdidB3K10DVFqg/Ao5MSBoLm76EVc+1vl7AB+s/hLdug6p8VbJQswChrCF3KZSvhqC/9W0IIYQQ4owhgRghhBBCiBPlryMY8PP7FcavVqmxNr4/IVQKy9ZkIj9/peGi3nNi69vv6v4wehCqQmVoYvuCJbpDq5tMGr+9bBi/unhIs1hSUIdyp5e9JXUs3VPKd/63nsW7Szppx410Xef/fbQDZxuBlp1Ha3jw3a3oeuvBjbVNypKN6JFAlK3tcjsxdguXjTL2xXljXT7+RhkpHbH2QAWzn1jK2N8t5PJnVnQ4u2bJ7hIKm6zT0TPchRBnL6vZxAu3juOpG0bz49kDuHVyLy4ZmcXU/qlcNDyTBy8YyJ+uGm5Yp84T4K8L9nTNDiX3hVvmQ1ST7MQ9n8GK56HbXDBZVcbKkU9UD5ZwMKZyM7ia9JrpiMotULYK3OUqqyUmB75+GTa+3L71Sw7Be/8HexaH+kfpqmyaZlblzspWQdB3zM0Y+J1QmwelK6F4sfoMd5epoJEQQgghTknSI0YIIYQQ4kR5q5i/G7aXGofvmz2AOD10Jq4jPXJFXYnqEdNIsOckWpzqD/oa+s9ga71PyQmpO6Amdcx2iDu+5saapnHHuX3onRLNva9vwtVKMETX4Uevb+LDe86ld2rnllnbmF/JrqLaFvbNODf10ZYjDO8ez3en9WtxO2v2t78/TGM3Texl6A9UXONh0a4S5nagV4zbF+AvX+7m+a8PNOzz1sPV3PT8Gt787iTS29nj5pXVhwyXh3WPZ1TPxHbvhxBCWM0mLhmZ1eYya/ZX8N6mwobLr6/N59ZzejMgI67zdyh9MMx7D166BLyNjvUbXoTMYdDnfCj8FMrXgzkWus1C9WQ5gFa1lahgWaubblXdAShZCt4aFeiJHQCLX4DCzU0W1KDfDJX56nPB/sXGq/1eWPqcWm7AdAh6wRqvetx4q9RtJAyDqDY+L4J+cB5SP36n8TpfndpXk1WVF40fDKYT7NcjhBBCiE4lGTFCCCGEECeo3lXBn1cbU0Fy0mO5fkwGeCvVQONATP5qw7J+k0M1Jm6Jp0JFESwx7e7b0iEBd6Q3TPxgMJ3YeTqzBmfwzl3nMLKNSf8at5/vvrwep6dzy7E0LcXVPTGKV+6YyIIfTyPObrxff/xsF1/vbT4p5/YF2FxQZRg7Vn+YsCFZ8YzOTjTu05r2n4W9vbCaS576mueWH2h2UvOBMic3Pr+mXWV/NhyqYPFuY1Tw5om90ForfSeEEMfpgQsG4rBGphWCOvzuk51dd4NZo+Gmt8DSJCj96YNQ64XMGepyyRIoXQ2Jw1SmJxAfPAg1O9ufNVJfDCXLVFaqOQoShsDmz5sHYUxWuPoFmPc+3PCayty5+T2I795kgzosew72r1RnCPhqwJ6iPtv99VC+DsrWNA+yBLxQvQuKFkL1DnW9ZlL9cBKHQsp4iMlWWTZBnwrIlK1Qn+9CCCGEOGVIIEYIIYQQ4gT9Z3UpR+uMk9w/v2gQFn9oot8ar3rEhDUJxFTE5LQeAOnqsmTVO9VZtrYkdRZtJxiSFc8HP5jCmp/P4pMfnsvLd0xgzpAMwzJ7iut44J0tbZYI64hKp5ePtx01jN0yuRfn9k8lJz2OJ68fZSibFtThh29sorjGOFG1paDK0OBe02Bs77b7wzR200Rj+a9le0rJL3cdc71D5U5ueG41e0vqWl1mX0kdNz+/hkqnt9VlvP4gP3t3m2EszmHh0lFtn9UuhBDHo1tCVLPswmV7Slm8q2tKUALQ6xy47B/GMT0Ab90C1t4qMAFw9HMoWwcJQ9BjcwDQ6vJUv5dA68dRQAVJylapoIY1QQU9aioh93PjcrY4uPldGHaVcTxnFty9Ckbe0GQ/g7D4Gchfry7XF0FML9WbTTOpfm3FS6DoKxV4OfIFFC2A2r0qyGKNhaSRqhRb0hhV3sxbpQIx3c6HlAkqIOOthpLl6rcQQgghTgkSiBFCCCGEOAGlNfU8s9aYpXBOvxRmDExXEyoADmMQgkMrDBfLY9ooB9aVgRhPBbgOq78Th9GswcsJyoh3MDQrgan903jyulEMyjSWqvl0WxHPLs3rlNt6d+NhvP5IAMVmNnH12EhgadbgDH482/g4Vzi9/PjNzQSCkWBQ0/4wQ7rFE++wtns/Lh7RjXiHMaj22tpjZ8X8Y/E+at3GDCGb2URmk1Jku4pqmfefNVTXt9xP4J9L85oFc+6dmUO0TSoSCyG6xl3n9SU9zm4Y+/WH26lvo1/XCRt+NUz9iXGsvhJevwFSz1OfaXpABWNKV0BsDtWmHBW4cJdC6TIVwGhK18FVqLJpanerbFRztMpqXfWKCqSEme1w28fQ97yW99GRAJc/CxO+axwPBmDhU6HMGl1lu1jjIP08FfDRgyrrxV+vSpjpQbAlQso4SJ6ovlsc+QwOvQ5Fi6FiI5R8rbKA/LUqEGWNVRkxpStUsEcIIYQQ3zgJxAghhBBCnIAnF+zA2WhOXNPgF98ajAaNAjGNypJ56qDImLFQEdtKICbgUWflgipf0pl0Haq3q79jstUkTxeKsVv417yxzYIUj3+xm62Hq05o27quNysBduHwTFJijROD98zIYfZgY1BsZV45/2wUDFrTJBAzsZ39YcIcVjNXj+1pGHt7fQEef+sTklUuLx9sPmIYG9Itno/uPZf37j6HnsnGknTbC2u45T9rqXUbgzH7Sup4+qt9hrGhWfHcPqVPh+6DEEJ0RLTNwgNzBxrGCirqeXLhnq694Rm/hIEXGcdKd8L7d0H3yyBxuMoiKVmOVroMrxaLnjpFBVf89SpjpHipCoR4K6HuIBR/pQIbzgOhbNFkiEqDPV9DUZOSa1N/Almj2t5HTYML/gSjbjKOB/wqGFOcCwTVbdblQfI4yDgP0qZA+jTImA6ZsyDtXHDmw56/weEPoHwtVO+Gys3q7/I1qpRa9U4oWw1xg0JBnQBUrIf6oy3snBBCCCFOJgnECCGEEEIcp8Kqet5YbzzT9MrRPRialaAmdYI+VTve1qi0VeF6NTESopssVEa33DS+IRvGGq/OvO1MdXmqZInJCvGDOnfbreiVEsPfbxjdrETYg+9sNWSzdNSqvHIOlBlr6jctEQZgMmk8fs0IuiUYs0yeWLCHDYcqOVjmZMOhSsN1E9rZH6axGydmGy6XO718kVvc6vJvrz+Mp9H9t5o1Xrp9PAMz48hKjOK170wiq8k+bymo4tsvrmvosxMM6vz8vW2GsmomDf545QgsZvnKL4ToWleN6cGE3sbj5fNfH2B7YReWxjKZ4Mp/Q9pg4/juT2HpY9D9YlXGS/dB5UZS/NtVlkj6VIjOivRpqd2rMkqqtoHfBb7QPsfmqM9IjxfWvWW8jeS+MOVH7d/PS5+CoVcYx30eWPg0VB5U3wuc+aonjR4AezLYElSmjLsE9jwDhR+r/bPEgO6Agn2wZhEsfh+2LIVDX0J1rsqAqdwEMX1VyVFdV4Ge+tY/h4QQQgjR9eS/MiGEEEKI4/T6mnwCjVqcOKwmfjo3lN3SOBumceShSX8YPXMEgdaCLJ5Qw3VHWiftcYjfCTW71d8JQzs/yNOG6QPT+dGs/oaxXUW1PLvk+EuUNc2G6Z8ey/hW+rokRtt48rpRmBo9JYGgzg3PrWb640uo9xkzV1rbTlty0mOZ1Nc4IfnKqkMtLhsM6ry82njdBcO6kR4XCbz0TI7mtTsnNSv9s/5QJd9+aR1PLNjDvP+sYe1BYzbPHef2YXiPhA7vvxBCdJTJpPGHK4djM0cOroGgzs/e24o/cPyB9mOyx8ENr0NUk6D58r/Azk8hczYkDkcL+onTC9DK16iG94mhPivJo1VQxmRRvdxMVrDEQlSWCuDYkmDDe+CuMW7/W38BqzFA3iaTGa74N/Sfaxyvr4Mv/wbOcnAXqe8OpSug8FPY/xLs+BPkvaCuM1nBCaxbCB8+ARu/gNJ8cFbB/q2w+F1Y8ooKRNUdUJkwUT3U/dOD6rK79DgeZCGEEEJ0BgnECCGEEEIcB68/yBvrjAGAa8b2pFtCqIyUO3TmaeOyZAD5qwwX9Z4TW7+R8ISJvRMDMboOlVvUpIwjDWJ6HnudTvaDGTnN+sU8vXgvu4tqO7ytklo3X+Qas5JumpiN1ka/m4l9U7h3pjEY1FJGzoCM2GblzdqraUbO2oMVzfYTYOmeUvIrXIaxWyc3z+bpnRrDa3dOIjXWZtzugQr+vmgvK/aVG8Z7JEXx4zlt9B4SQohOlpMeyw9mGI+t2wtreGnlwa694eQ+cO3/VDClsQ9+AKV5kDYVPXEYQc0CdftUkKJkifqctsRA/GDImKECMEGf6iNjTVTZqEV7YNdC43aHXgn9ZnZ8Py02uOYl6DHBOF5bDgueAD0qlM2yWZUXq83jo312frK6H8/syKF2/Tr48u9wcJ0qm9aS0gJYtwAWPQM1B6BirQrGRGWqz/3ydeApb3ldIYQQQnQpCcQIIYQQQhyHL3KLKKvzGsZunhSaQA+4G/V2aRRECfihYK1hHb3HpJZvwFentqOZVI36zuLKV5MwmhkSR3TedjvAajbx56tHYm6UluIL6Dz47lYCQb2NNZt7btl+/I3WcVhNXDGmxzHXu3dmTrMyOk3ddV4rJePaYe7QTNKaZLD85oPcZn1d/rvqoOHykG7xjO3VchZOTnosr35nEknR1mPe/h+uGE60zXLM5YQQojPdNb0vOWkxhrG/fLmHbYe7sEQZQJ+pcOGfjGN+N7xxI7jr0ZPHUa9lgCNTBWK81VCxSZUkK1oERxeocqAmC8QPhIALggFY9Ypxm7ZYmPuH499PWzTc+CakGnvqUH4Y5v8SKsogbgAkDOU/hZO5d2V/yg8d5qpdvybu0LL2307JYfjqaXAWQMUGiOuvTgzRA6qnjLfy2NsQQgghRKeSQIwQQgghxHFoWk5qQp9kBoazPMJlyWyJxrJfRVvBZ8x+aDUjJlyWzJ6iSpp0hoBblWQBSBgElujO2e5xGN4jgTun9jWMbSmo4qmv9qLr7QvGLN9bynPLDxjGLh2ZRULUsQMVFrOJJ68fRXKMMcMkNdbOTROzef/uc7iyHQGd1tgsJn5+kbH3TlGNm8c+391w+WCZk6V7jGVibpncq81snoGZcbx8x0TiHa0HWb4/vR/TBnRyOTshhGgHu8XMH68yBvnrfQGu+/cqluwu6dobH/8dGHeHcaz2KPzvMvCbqDAPUp+psX3AVwUmG1ii1AkPoLJjHJmqZ0zQCzuWQPl+4/Zm/griu53YfkYnw7z3IL67cdxZCQueguUvc3BnPr5Vr/GK9fe8ZPszGVpVs80ETTYYcjlMvgeiWgjglx6BhX8HZ6EqS5YwHOypKpumbI0KRgkhhBDipJFAjBBCCCFEB+0uqmXtAWM/jnmTGpWTaugPk2FcsUl/GFL6Q0xqyzfSFWXJqrarCRhbEsT06bztHqf7Zvenb6rxzOknF+7lJ29vod4baGUtpazOw/1vbTGMWc0a32kS3GlLVmIUn/zwXL47rS8/mNGPt743mTU/n8XvrxjO6OyO94Zp6vJR3ZsFRF5Zc4gNh9Rr55XVh2gcc4p3WLhsVJOJuRYM657A69+dxKieiaTG2pnYJ5k7p/bhb9eP4uuHZvDQBYOOuQ0hhOgq43onc9NEY9lLlzfAHf9dz9vrC7r2xi/8E/Q+1zhWkYfl9WsgoKGnTlElx+zpKtiiWSGmNySNVCdOuA6rEl5+DTa8ZdxOxjAV7OkMCT3g5nfBkdj8un3L6L3md3zP/BHnmnObXV2tR/Nr362cp/+L7VP+DnN/D/fvhMv+AfYmfcFKCmHRk+A8ClWbIHkc2JNVCbayVZHsXSGEEEJ0OalXIIQQQgjRQa80yYZJjTEzd2imuqAHI9ksTfvD7F9ivJzdSlkyPahKpIDq49IZ3GVQfxQ0DZJGqN/fMIfVzJ+uHsG1/1plCEi8t7GQ3MIanr15DH3TYputFwzq/OStLZTWegzjD10wiAEZcc2Wb0u3hCh+ftHg49r/Y9E0jd9fPow5f12K26d60Og6/PjNLWQlOlh30Fga5tpxPYmytS/7aWhWAvN/MKXT91kIITrDL781lAMlNaw8EMm6CAR1HnhnKwfKnPxwVn8c1paPd8GgzrK9pXy67SiHK+upcHqpcHqprveRkx7Lby8fxpjWguVmK1z7Mrx4AZRGMhC1klwm1T0OgQsgfSpUbFQnTfhqjMEIkwUShsFHP2uSwarBJX8DcydOoaQPhu8sgg/vhfyV7VplSWAkD/nupJhkqIcbnlvN/26foE4eGH0zpA2Gly8HT6P7VHwYFv4ZLvgVWHIhZaLqQeOtVL9TzwFr889aIYQQQnQuyYgRQgghhOiAOo+f9zcVGsauH52KzRL6WuWpUFknZjtYG52Z6vfAwSb13ftOb/lGvJWqjrvJBpaOBRZapOtQHTqrNqaXOhv4FDG+dzI/PX9gs/HdxbVc8tTX/OfrA/gCQcN1L3x9oFlJrxkD07jj3G8+y6epnsnR3D9ngGEsv8LF6v0Vhn44mtaox5AQQpzmomxmXrxjMpcOa96L65klecz6y1I+3HKkoRSlrusUVbv5x+J9TPvzYm57cR1vrT/MyrxydhXVUlLrweMPknukhuv+tYoXVxxovYxldDLc8iEkZhuGk115mN+8Ady1kDoRup0PyWNDn4txqqF9+nQ4nAu7PjZuc+yt0GMcbl+AX83fzpQ/fsWE3y9s+Jn5+BJ+/8kOKp3G3nHHlJoDt30Clz7VcnZMiG6LZde43/K3zD+oIExIrdvPzc+viWTp9hirMm1sTQIrRw/Byn9A7X7VKy51ItgSIOCBspXgq+3YfgshhBCiwyQjRgghhBCiA+ZvKqTO42+4bNJ0bpjUKADgCZclSzdmneSvBl99oy1p0HdGyzcSLkvmSOuczBXnIXXGr8kKcc2DHt+0H8zIoW9qDA+8s9Xw2Dq9Af7fxzt4ZfUhHrpwEC6vn1dX57P+kDGTJC3OzuPXjGyzt8o36fYpffhg8xFyj7ReAmbO4Ax6NynTJoQQpzO7xcyTN06i20fr+NcqY/C8sKqeH76+iacW7QXgSFU9zmOUpAzzBXQe+WgH6w9W8serhhPnaKEvWFwm3PoRvHA+1BU3DJsKVsNzM+D61yFjCERnqZ+w4h3wyf3GbUUnweyHcfsC3Pm/9SzfW9bs5kpqPexffoC31h3ih5OszBtpxZY0FBytlB9tzGSCMbewOWoSe1/7KReY1lJNDLuCPTlk6cNVF55P4vALGBSVxKteP9/573pW5pU3rO70BrjtxbW8fMcExvZKhp4T4Ka34ZWrjFk9uzdB/BswQgNLLKRMipQnK10JaZNPqRM1hBBCiDONZMQIIYQQQrSTPxDkpZUHDWOz+mh0T02JDLhDEz72JmXJ9i00Xs4aDTEptMjTif1hgj6oCZVniR8IZlvby39DLhzejQ/vmcKgzOYZQPvLnHzv5Q38+M0tzYIwmgZPXjeKlFj7ydrVDrOYTfzpqhGYWogTWc0ac4dm8Lsrhp38HRNCiC5mMmn832UTeHhuJiateQbL3pI69pbUtTsI09gn245y2dMrKKyqb3mBpN5w68cQlWgcrzwIL8yBXZ8ax7e/B8/Phhpj1itzfo/bEs93X97QYhCmsWp3kN8u8XD+S7V8vWkVVO+C1jJ3GimqdvOdd/N5wPc9hnte4FzP37nT/wD9b3iMxAk3QJQqxRZts/Cf28YzfaDx+4HLG+C2F9exvTBUCq7XOXDt/0BrMuWzcREcXKACL0EvpJ0DtkT1d+lK8FYdc1+FEEIIcXwkECOEEEII0U4vrTzIvpI6w9i80Y3Kf/hd4KtT0YGmvV2aBmJyZrV8I0Ef+EITKZ3RH6Zmt5pgscaphsSnsL5psbx/9xSuHdej3et8/7x+TMlpxxnH37Bh3RP497xxDMiIpX96LPMm9eL5W8ax+dfn869540iPc3zTuyiEEF3mthlj+fD2Pkzq3v51BmdE8cD5OfzlmpG8+O3x3HVev2bL7C9z8p3/rsfl9bewBSBtANzyEXrTEx+8dfDGDfDsuTD/B+rnnW+Dz2lcrucEPMOu465XNrCsSUnMthys1rj1Q40PN+xVpb/8rQSLAI8/wF2vbKCsztj37AfTc5g2oPn3AIfVzL/mjWXOkAzDeK3bz7wX1rCnOFRmrP8cmPP/jCsH/LByPhSthJIlKkiUOglsSer7R9kqVWJVCCGEEJ1OSpMJIYQQQrTDkap6nliwxzA2KEXn3P6NggDuUFkyW5IqAxZWcxRKdhg3mDO75RvylKmJEWssmE9wct5XC86D6u+EYZ1T5qyLRdnMPHb1SK4d15PffryDLYerW1wuNdbOXef1PSX7wrRm9pAMZjeZOBNCiLPFsP5Deb1vf77cvJtHFxzmYFWw2TLRVp1v5cCNQ3VGZTjRzAcgYSjEpDNjYDrjeyfx4zc3U+OOBF52Hq3hgbe38vSNo1suUdltBP7bl+B64UISXIeN1xVvUz8tSR9A4JqXufvVTSzZbQzCxDks/OHyISS6dxAIeHlnbwwf7zIGWwK6xn0LNLyBCq4eugzSp4Il2rCMruv8en4umwuqDONT+6fy4yb9xRqzW8z848Yx3PXKBr7aVdIwXunycfPza3jze5PpkxoDk++B4lzY8npk5XonrHofptrUd5XMOSoYU74WPOVQtlr1kLG3krUrhBBCiOMigRghhBBCiHZ4+MNcXE1Kp/x+uo7JlhgZCAdiHE0m2/O+Ml62J0D3cS3fkLsTy5LVhEqiRGW2r079KWRc72Tev3sKH245wp8+38XRajcA5+akctPEbGYPycBqluRuIYQ4nWhmG3PHDmfGyKEs3lHA/uJK0uJsdE+w0yPRQbc4sASd4K9TZbL8TqjcDPVHIWkEswZn8MkPp3Lri2vZXxrJXvlk21GGLInnBzNyWr7h+G4s6/8w3/K8i2nXZ8fe0SEXwOX/4bUNpSxqFOgAiLNbePmOiYyK2Q8uL1himD75PL5dUMNvP95hCKoEdfjpIhPegJcbR6+DtHPBZG64/tU1+by5vsCw/ezkaJ66YTTmlupZNmKzmHjmpjHc/tI6Q8+YkloPF/5tGd+b1o/vndeX6IufhLK9ULg+snJFCWz4FMaZwGSDjBmQMhEq1qnvIWVrIGV852TmCiGEEAKQQIwQQgghxDEt2FHMlzuKDWM3DIWx3QBrghoIBlQ2C4DjGP1h+p4H5la+hnVWfxhvNdQXqSyY+MEntq1viMmkcfno7lw0vBvbCqvolhBFVmLUN71bQgghTpDNYmLuiF5Ar9YX0nWo3Qe1e1T/teIlkDSKnsmZPH/LOC77xwpqG2XGPP7lbgZmxLWaeRg02Qhc+T9Mqx6Dr58Cn7v5QiYzzHwQznkQpy/I3xbtNVwda7fwvzsmMCrFCRWF6jM2eTSYzIztlcR73z+H336ygxdXHDSs9/MlJnzBGm6dtAWSxwCwuaCKRz7KNSwXZTXz71vGkhjdvn5uDquZ524Zx7wX1rAxv6ph3B3a9zfW5fPA3EFcee0rmJ6fCbVHIisfzoOYr0EDNIvK2EmZAOXr1Ikl5WsheRxESSanEEII0RnkNEIhhBBCiDa4vH4e/tA4UZISY+WhyUEwWcASowa95aAHVDkxa3xk4WAA9jfJiGmtP4yvTvWZ0UxgP8EMlppd6ndUd1Xm7DRms5gY2ytZgjBCCHE20TSI7w/p00IN5X1QsQE85fRNi+XpG8fQOGlE1+G+Nzezr6S27W2e90v44Xq4+h8w5U7oPxVS+0D34XDTq3Duz8Bk4vnlByir8xpWf/bmMYzuHgVVoXJmcf1VOdIQk0nj1xcP4Xvn9W12079ZZuKjLYVQt59ql497XtuIL6AblvnzNSMYlBnfbN22xNgtvPjtCQzr3ny94hoPP317C3d/eATPta+BNca4wO4NkL8Djn4JpSvU94+U8SqTVg9CxXpwHWm2XSGEEEJ0nARihBBCCCHa8LdFeymsMtZ9/8XsTBIdqGyYcD361sqSHdkE9VXGsX6tBGI8oW3YUwylSzrMW6n2R9MgvvUa80IIIcQpzxqnSnpFZ6ngQPk68NVx3oA0fnbhIMOidR4/d/5vA9UuX9vbjOsJw26GOY/DDfPhzkVw+0LodyEAZXUe/r0sz7DKzEHpTO2fBjW7VVDIlqgCMU1omsbPLhjEj2Y1v+4nCzRW5e7ggbfWcbjS+N3ie9P6cvGIrGM/Hi1IiLLy2p2TuHFiNi1VNPs8t4hvf+6h/rJ/q2BLY5u+grJCOPIFlKxU1yePhejuoWDMBqg7cFz7JYQQQogICcQIIYQQQrSioMLFi18fNIyd0y+FKwaFZjnCZclAlU2BFsqSLTJeTh0IiT1bvsH6VrbRUTW71e/onpGMHSGEEOJ0pWmQOEplnwR9qmxWwMudU/ty+Shj8OJAmZN739hEIKi3vK2mTBZ1AoTZ0TD09Ff7cDbqC6dp8OAFAyHgBddhNZgwtHlQo2F5jR/PGcBP5hhPhvAGNW75AL7cVWkYH987iQfmDmzf/jbmLIDKLVBfTLzdzB+uGM6nP5rK1P7Ns2pX5pVz/ZJEnDP+n/GKYABWfwI1ZVD0JZQsV+NJoyG2t/q7ajtU7+r4/gkhhBCigQRihBBCCCFa8dgXu/EGgg2XrWaN314+DM1fowZsoUBMWyXF9i0wXs6Z3fKNBf3grVB/N82q6QhPhWq0q2ktnqkrhBBCnJZMZlU2yxINfidUrEND549XjWB49wTDosv2lPLY58cXODhU7uTVNYcMY1eO7qFKhrnyVZaILQHsycfc1j0zc7hlsrEPji9oTFlJjrHx9xtGYzF3YHom4Iay1VC5GZz5KjB1dAFUbWNQCvzv9gk8f8s44uzGfnRbDldz2brhOEfebtyezw0rPwJnFRQthpJlqtxq4nCID2Ud1e5VQR+9nQEuIYQQQhhIIEYIIYQQogVbCqr4aIuxLvq8Sb3plxoD3mo1EM6IMZQUazTpUV8JhRuMG86Z2fINesvU5I4l5sSyWBqyYbLVZJUQQghxpjDbVUN5k1WdeFC1DUeowX1qrN2w6L+W7Wf+psIO38Rfvtxj6N1is5i4//wBKgDhPKgGY/q0a1uapvGbS4Zy/pDWT7B44tqRdEvoQA80ZwEULwmddGGC6B7qcQl6oe4glCxD85Qxe0gGr393EikxNsPq+0qd3Fx4BcH+c43bra+BVZ+Au1b1iyleqgI+8f0haaQ6wcOZr0rDBQMIIYQQomMkECOEEEII0YSu6/z+052GsTiHhXtn5oC/Vp0larKAJVZd2VpJsbzFKrgSZnFArykt32hDj5kTKEvmKQdPmZqYkWwYIYQQZyJrnOphAiow4DpCt4Qo/nnzGKxmY7bJQ+9uJfdIdbs3/cnWo3zY5CSMWyf3ontilCpB6q8Hkw2i2t/LxWzS+PsNoxmTndjsurvH6kzvbWm+Ukt0XWWkVG4O9ahJgvTzIHk0ZM6B1EngSFPLVWwAv5Nh3RN4+67JZCU4DJvadLiW5zJ+BT0nGW+jpgTWfgm+eqhYrwI+vhqIyYbkcer7hbsYylapfRBCCCFEu0kgRgghhBCiiYU7S1h7oMIwds+MHJJibOCtUgPWRHV2aFslxXZ9bLzcawpYWz7rVfN0QiCmdq/6HZMNlg6cXSuEEEKcThxpkRMOqraA38W43sn89rJhhsU8/iD3vLaJWrf/mJvcmF/Jj9/abBiLc1i4e3qOuhBuWB+TrcqkdWR3rWaev3U8/dIiGa9Tetm4f2IoaBLwtr0BXVf305mvvnskDIa0KWANnRCiaeoxSZlg7KMT9NE3LZZ3vn8O2cnGLNnHFxewe9ZzkD7EeFtlB2HdV2qfqndAydcq+yYqE1Inq2wkbyWUfq0CU0IIIYRoFwnECCGEEEI04g8E+eNnxmyY7olR3HpOb3XBG2qwa0sMXa4IlRSLMpYU89XD7s+MGx/0rRZv06K7VPkPzQS2lOPbcW91pDdMbL/j24YQQghxuogfGAo6+KFiI+g610/IbtaT5UCZk199sKPN1iYFFS6++7/1eP1Bw/iDcweqkzB8taGMUw1ieh/X7ibH2Pjo3nN55NKh/PHK4bz0nfOw2GLU53/Fegh4Wl5R10O9YArU7SeNgbgc9XdTmkn10TE7VP+60OOSlRjFk9ePwtRoFV9A574PDuG9/m1IyDZu50gubF6uHtvafVC+RgWB7MkqABTefunXKmNGCCGEEMckgRghhBBCiEbeXF9AXqnTMPbA3IE4rKGzX8MZMbYk9dtTrn7bU40b2rcIfK7IZc0Egy9p8TbtenVkGx08y7ZBOBsmqrv0hhFCCHHm0zRIHqNKhXorG3qk/fJbQxjZM9Gw6Cfbi1hR3ELgAqiu93H7S+soqzNmpdw0MZubJ4WCOuHeMI6ME8o4jbZZuPWc3lw/IRur1QYp40Azq+8SJcsi3ynC9KAKwrgOR4Iw0ccoixbuo6OZVdnTGnVyyZjsJO46z3iixs6jNTy13gnz3ofoJieC7F8DuWtUOVZnviqLVr1LlWVNO1eViAu4VcZMfdFxPyZCCCHE2UICMUIIIYQQIR5/gKe/2mcYG9Y9nktHhiY9gn7VIwaMGTHQPJNlx3zj5V5TILblsmO2cCCmaWmz9vLVQf1R9XdczvFtQwghhDjdWKIhcaT6u3YveMqxWUw8fcNo4h3G3ivvHzSxdE8pdR5VpuxwpYu/fLmbOU8sZW9JnWHZqf1TefjSoWiapsp8OQvUFTF9Onf/rfGQPjUS1ChbpQJKzkNQvg6OfB4JwiSPPXYQJsyWAEmj1N+1eeAuA+BHs/szKDPOsOgzS/LYXJ8KN70DtljjdnYshH3b1e3XH1GPccUGVZ4sbUqoJ01A7Wtt3gk+GEIIIcSZTQIxQgghhBAhb60/zNFqt2Hs5xcOxhSu5eGrViVCzA71EwxEMmTsyZGVfO7mZcmGXNbyjQZ92PRQcOd4+8PUhSY/ojLVZI4QQghxtojOUn1bQJXiCnjpmRzN49eMNCzm1zW+8/Imhv3mCyb+YSFTH1vMU1/to6TWWBJsQEYs/7hpDFZzaLrEVaCCDdY4cDTJfu0M1jhImwoxPdV3jJo9ULlVZZnoAfV9I3kcRHXr2HajsyC2t/q7agsE/dgtZv5y7UgsjWqUBYI6P3lrM+70kXDdKyrI0tiGdyAvV417ytSJH6VfqwBVygSICWUNVe9QWTO6sbybEEIIIRQJxAghhBBCoLJhnl1szIaZ2CeZc3IaTbo09IdJilzWg2qSpHF/mP2Lwdv47Fqt1bJkeMoAXZX6OJ6SYgG3OlsWJBtGCCHE2SlhmPocDrhV0AE4f2gm3zm35QyW4hpPiz1jUmPt/Oe28cQ7QsEIXYe6/erv2L5dseeKyawyWJJHq/thS4L4QZA+DbrNUSdaHI/4waqUmt8FNbsAGJqVwA9n9Tcsllfq5C9f7oZ+M+DKfwFNyritfhn2bw31hqlRPXPCpdSSRkDiUJU148yH0hXqeRBCCCGEgQRihBBCCCGAdzYc5kiTbJgfzTZOVDTrD+MN94dpUpYsd77xcvZkiGtlEsVTDIBuT+vYDofV5qlgkD0lsl9CCCHE2cRkVqW7NJPKJKk7CMCDFwxiVJN+Ma2Z0DuZN747iR5JjU6KqD8C/now2SC6R+fvd1PRPSBzJqSfC/H9VYmxE2GyREq31R1o6EHz/en9GNHDuO3nvz7A2gMVMOwquOjPzbe14kXI26ACO0Gf+ilfowJVsX1VdozJqr4rtdTvRgghhDjLSSBGCCGEEGc9rz/IM4uNtc0n9E5mct8mAZaGjJhE9dvTQiDG74HdnxrXG3p5yzes62juEvX38fSHCXhVHXmAuP5tLyuEEEKcyWwJkDBY/V2dC75abBYTL942nmvGdifNoWNqkugRZ7dwy+RefH7fVN66azI56U16pDRkw/RRQZ7TkSMtUrqtcgsEA1jNJv5yzUhslsh90nX46dtbcHr8MOFOmPWb5tta/jzsW6MCPGaHWqkqFyo2gT1VZfBY4yHgUf1uwo+fEEIIIbAcexEhhBBCiDPbexsPU1hVbxj70ez+qklvWMCtfjQNrAkqC6UhMNMoELN/KXhqjDfQWlkybwUEvehYjNtoL+dBVT/elqAmWoQQQoizWUwfcJeCu0Q1lU+bSlKMjT9cPpRPbYeYNWcuh2u87C91EmUzM7FPMtG2VqZFPBUqu0MzQUzvk3kvOl/CEPWY+J2qRFniUPpnxPHA+QP5/ac7GxbLr3Dx6Gc7+d3lw2Hq/eqEjyWPNtqQDsv+rf4cMFX1tvOUqhKp/jpIGQ9p56rycK5CFaTxVqmsHJP5pN5lIYQQ4lRzmp7SIYQQQgjROXyBIE836Q0zrlcS5/RrJRvGEqfOBPVWhfrD2MHa6AzaHfON6/WcCPFZLd94/VEA3FqiCvB0hB5UZUYAYvt1bF0hhBDiTKRpqteK2a76mFRtpnEzGLvVzKDMeC4a3o0ZA9NbD8IA1IUyZaN7gtnWpbvd5UxWSAqXKNsP7jIAbj+3D+N7G8uavrI6n4U7VNlUznsIzr3fuC09CEv/BbuWqD53MX2MJcm8lZA8BhKHqefDVQilX6sgkBBCCHEWk0CMEEIIIc5q7208zOHKY2TDQKP+MInqd7gsmS05sozfC7s+Nq435PKWb1jXGwIxHlNyy8u0xXUYgl5Vqz2qW8fXF0IIIc5EZnuoX4wGriNQu6fj2/A7Va8ZUP1PzgSO9EiJsqrNEPRhNmk8fs1IoqzGbJUfvrGJ3CPV6jGc9WuYfE+Tjemw/DnYsQCcB1R51MYlyWr2qCyi1HNCQbEaKFkO9cUn454KIYQQpyQJxAghhBDirOX2Bfjrgr2GsTHZiZybk9p84YYyZKEzR70t9Ic5uAzc1cb1WitL5qsOlTqz4CG+Yzuu65EzdWP7nr5164UQQoiuYE+JNKmv2aNOXuiIcG8TR4Yx6/V0lzAULDHgr4eqbQD0Sonh598abFjM5Q1wx0vrKaoOlWQ9/3dwzr3Nt7fiRdj2GdTsVJkx4UBPzW4oW61uK32a+u4U9EH5WqjarrJqhBBCiLOM/NcuhBBCiLPWSysPUlTjNozdN3tA82wYXVeBE1CTCXpQ1Y4HYyAmd75xve7jILFnyzceyobRHRkdD6S4S8BXp0qBRGd3bF0hhBDibBDTE+JyANCqt2LVa46xQkjADc4C9XfcGVb602SB5NGRkmGuQgBunpjNlaO7GxYtqnFzx3/X4fT41fJzfgtTf9J8m6tfgQ3vQuVmlSWcPBo0sypbVrJUZRelnRPJLKo7oLJjfLVdfGeFEEKIU4sEYoQQQghxVqpyeXmmSW+YKTkpTO3fQjaMvxaCfjWBYYlVQRk9oAIhlji1TMDXvCzZ0Mtb34FQIAZHRsd3PpwNE9NL7ZMQQgghmosfpMp36kGSAvsiZUZbE/SrrA09oEqR2lPaXv50ZEtSpcRAZcX469E0jUevGs6EPsZSqblHarj39U24vKFgzMxfwfSfN9/mxvdg1f+gYqPKfEmfBta4SKmy2jxIGAKpExuVKlsGdQe7/v4KIYQQpwgJxAghhBDirPTskjxq3H7D2EMXDGqeDQORiRtrgpqI8DQqSxZe/uDXUF9pXG/wpS3fuK9GnSGqmcCe3rEd91ap29c0iO3TsXWFEEKIs4mmQdJosCWh4UcrXxk5EaIpXVeBBG81mGyq4fyZKq6/CjQFfVC5CXQdu8XMv24eS5/UGMOiX+0q4cK/LWfDoQr1eE5/CGb9pvk2dyyAJf+Eis1QfwTSpqpSZboONbugfI36HpV+HjjSVHZx1TYoXwcB70m520IIIcQ3SQIxQgghhDjrHKmq58WVBw1jF4/oxogeiS2v0LQ/jKeF/jA75hvXyRoNSb1a3l64AbAjveMZLeFsmKjuYHZ0bF0hhBDibGMyoydPxKslqsn/8vVQs7f5ctXbwV2sTpJInaD6m5ypNJMKNJks6jtN7R4AkmJs/Oe28SRGWw2LHyp3cc0/V/Gnz3fh8Qdg6v3wrb8ATU5eyVsJXz4BZZtV8CVxRKRUmbtUlSrzVkHKREgcqvajvkiNu8tOyl0XQgghvikSiBFCCCHEWeevC/bg9UcaxVpMGj89f2DrKzQOxOg6eEP9YWyhQEzADzublCUbcnnr22soS5bZsR33uyLrnml164UQQoiuYrJQaeqPHtNbXa7ZpZrJV21XjeUrt0bKZCWPiZx4cSazxKhACUDNHhUoAfqkxvDveeOItpkNiwd1lU18wZPL+XDLEYJj74Crnm9+QsnhrfDJ76B4g+obE5UF6VMjpcrK16pMmOhsSDsXrLGqL0/ZKqjKhWDgJNx5IYQQ4uSTQIwQQgghzio7j9bw7sbDhrEbJ2bTO7WVM18D7khDWVuyKisW7hdjjVfj+SvB1eRMziGXtbw9v1NtQ9MgqoOBmNp9KhDkSIvcthBCCCGOTdMgYRgkDld/u0tV4/iaPeA8pJZJHKp6ypwtorurfnOgyrIF3ABM6JPMJz+cypjsxGarHChz8sPXN/Gtp77mK+tU9BveAGuUcaHyQ/Dhw1C4WgVezFGqb0xsX3W985DqEUMQ0qapEmYAdftVdkw481gIIYQ4g0ggRgghhBBnDX8gyEPvbiWoR8aibWbundm/9ZVCZ4hiSwSzDbyhyQFbcqQ/TO584zrdRkJyK/1bwhkt9lQwWVtepiUBN7gK1N9xbeyvEEIIIVoX21v1L0kYoj5PY3pBdBYkjYwECs4mCUPVyR1BrwrG6OpLUp/UGN6+6xwevGAgVnPz/nk7j9Zw+0vruXV5AuVXvQNRTbKInOXw0f+DvMVQukJtP3EopE4GS5Q6MaV0BdTtU8Gx1Imq5KrfCaUrVbZS0N/sdoUQQojTlQRihBBCCHHW+M+KA2w9XG0Yu3NqX9Li7K2v5ClRvx3poctN+sMEA7DzI+M6rWXDALhC2TgdPeO2br+qbW9PNvamEUIIIUTH2BJUic+EQZA0ApLHRrIyzjYmM6SMi/SLqdndcJXZpHH39Bw++MG5jOyZ2OLqy/aUMuMNJwunvIretDee1wWfPwZb3oXSr1WGsSMV0s9T2Ti6rjKSSleoUmkZ0xtlxxwI9Y4p7Zr7LYQQQpxkEogRQgghxFnhQJmTv3y5xzDWLy2G709vo9eKrkcmAOxp6nLTQEz+anCWGNdrrT+Mt0pNQmgmVTO9vYK+SO16yYYRQgghRGdq3C+mdm8kezdkSFY88+8+h3/NG0v/9Nhmq9e4/Xzn4yp+lvgk/sxRxiv1IKz8Lyx9BopDgRWTVfXiSR6j/vZWqetcBWo/UieFsmZcqpdP5Rb1XUgIIYQ4jUkgRgghhBBnvGBQ56F3t+LxBxvGNA3+dNUIHFZz6yv6qtQ//iaratzrr1WXNTNYE9QyO+Yb18kYDimtBHfCpcWiunWsLFndAdADqnRIODNHCCGEEKKzRHePlGar3BzpjxeiaRpzh2by+X3TeOLakWTEN88mfnNnPdPLHqSk+6zm29+5CD79PRQujPTkie6usmDsqep7TlWuyo4xOyB9uiojB+DMh+IlzQJEQgghxOlEAjFCCCGEOOO9ujaftQcqDGO3Tu7NuN7Jba/oDpclS1ORm4ZsmGSV1RIMwo4Pjeu0VpZMD4KrUP0d3bP9Ox/0q7JkINkwQgghhOg6CUNUxm/QD+XrWsxCMZs0rhzTgy/um8alI5tn9x6ug4l532ZR6rzm2z+yA97/Jez9QAVddF0FXVInqRJxJgt4K6FkmfrukzAU0s5RGTsBN5SvVxkyvrquuPdCCCFEl5JAjBBCCCHOaDuP1vDHT3caxnokRfHA3IHHXjkciLE36Q9jC5UlK1wPdUXGdVoLxNQXqQkNs0Od+dlerny1niWm431lhBBCCCHaS9MgeVyoLJgTKjapYEkLEqNt/P2G0Tx942gSo41Zvjom7jh8IQ9bf0ywaQZwXRl89P9g40tQvgYCXnW7Mb0gYwY4MtTJKzW7oWS5ykJOPw/iB6iTYNylqndM9U7Vp08IIYQ4TUggRgghhBBnrMKqem57cS1Or/Ef9UevHE6M3dL2ygGvqlkOKiMGwBvKqgn3h9n1iXGdtEGQNqDl7YXLkkX3VBMO7aEHoTZP/R2X0/71hBBCCCGOh9kGyeNDQY9iFRBpw8UjsvjyvmnMGJjW7LqXasdzRf2vqDEnGa8I+GDZv2HhY3B0EXirQ7ftgNQJod4xNvDVQOnXULsbYnNUGTNHeuj70T4oWSzlyrpCwKtOPvJWq8daCCFEpzjGDIQQQgghxOmp0unllhfWUFzjMYxfN64nU/s3nyxoxlOqflvj1cSArw4CHjUxYUtU1+3+1LjOwIta3lbAHdleTAfKkrkK1LpmB0T3aP96QgghhBDHy5YASSNVRkztXpWV28b3l/R4B/+5bTxvrivgtx/vMJwAs0XPYZbzdzzn+DujaBLU2bUISvfBrB9B77mR7zrR3cGeBtXbVVnX2jwVcEkcDqkTVZZxdS74XapcmSMNEoaBNbYrHo0zX8ANzgJ1wpGvRl0O0zT1/FvjwdFNZWfLiUFCCHFcJCNGCCGEEGccty/Ad/63nrxSp2F8Qu9kHrlsaDs3Eu4PEypL5g2XJUtSwZiyfVC2x7jOoG+1vC1XoSrtYU9W/8y2h643yobpp25TCCGEEOJkiO4R6U1XtTVSnrUVmqZx/YRsPr9vGhP6GHvwlZLENe5f8KJ/bvMVyw/B+z+Hdc9C1bZIBobZpjJjUiaoE1L8Lihbo3rXWOMhfbqxXFnxYqjYoAIJon3cZSqQVbQQanap777hIIzZAZpFfR/11YHriHp8ixep/j1B/ze770IIcRqSjBghhBBCnFH8gSD3vLaJDYcqDeMDMmJ57pZxOKzmY29E1yMZLPZQ9kx4AiJclmx3k7JksZmQNabl7TUuS9Ze9UdUfXaTDaJ7tX89IYQQQojOED8QAk41CV++DtKnHvOEkp7J0bxx5yReXXOIP362qyE7xoeFR/y3siXYj0etzxOleSMr+dyw+Gk4mgvT7oWMKSoQABCVAfYZULtHBQDqi1TgJa6/+onuAdU71LjriPpxZEBMtvrO1rRHzdku6FPfS52HVIAlzJ6sehj669F9tWw+XMOmItheZmVrsU5+dZDBqfCX2fXk+HOhZg/E9lU/JplaFEKI9jilj5YPP/wwjzzyiGEsIyODoiLVFFfXdR555BH+/e9/U1lZycSJE/nHP/7B0KGRM109Hg8//elPef3116mvr2fWrFk888wz9Ogh5T2EEEKIM42u6/zqg1wW7iw2jGfGO3jp2xNIiG7nP+O+mlAZMrP6xxQigRhbuD9M07JkF4KphawVbxX4atW2orq1946oUiAQ+ge3HcEjIYQQQojOpGmQOAr89eCtVBkpaeeqbJU2mEwa8yb3ZubgDH7x/jaW7C5tuG5+8Fx2eHvxjPVv5JiOGFfctRhnwW4ss3+Ifch1ke9gJgskDFEntFRtU9/JanaBqwBf3FDWVvZhZ2Es+wqPsq/UxcGqEjyBkob7YDWZmNgrhvvPS6d/WijAE/RB0Kt+9IAK2GgWdQKM2aGCEpaoNu/nvpJa3tlQSI+kKK4e26N9J/t8E3RdlR1zHQ5laYdKx5ksKpBlSwZnPtTsIa8SfrpQY1NxuPxYozJzxXDde2ZeucLK4GS36h9UdwDi+6uThuT7qhBCtOmUDsQADB06lIULFzZcNpsjB/bHHnuMJ554gpdeeokBAwbwu9/9jjlz5rB7927i4uIAuO+++/joo4944403SElJ4Sc/+QkXX3wxGzZsMGxLCCGEEKe/vy/ax+tr8w1j8Q4L/7tjAlmJbf8zbdBQlixNlbzwO1WpBs2kSpPVlUDBGuM6rZUlcx5Uv6My239WprtEBW9MFojt3f79FkIIIYToTCYzpIyH0uXq+1D5Gkid3K4siO6JUbx423g+2nqUZxbvY1dRLQB79J5c4v0dv7W+xNXmZYZ1YpxH8M7/BW8u3MyhAfPo16MX/TPi6JMaQ6w9Fi3tHHAVUlCQyxtbXby1cx2lrsY9S1rqXxLks121LNhTwx2j4IfjdGLajiUplhj1XdCRoTKkG/VGOVDm5IpnVlLrViW63l5fwD/njaVbQge+b3algAc8ZeAuVt8rg77IddZ4iOkFUVngPACVmwkGg7y8Jcjbq4sYGNzP+ZZCavQY1gQHsVXviz80fVher3PDe15evi6L4UnV6jVRlavK6cYPVIEdKacrhBAtOuUDMRaLhczMzGbjuq7z5JNP8otf/IIrr7wSgP/+979kZGTw2muv8b3vfY/q6mpeeOEFXn75ZWbPng3AK6+8Qs+ePVm4cCFz57ZQn/QYnE4ncXFxaKEPYK/Xi8/nw2KxYLfbDcsBREVFYQqdHevz+fB6vZjNZhwOx3Et63K50HUdh8PREEjy+/14PB5MJhNRUVHHtWx9fT3BYBC73Y7Fol4WgUAAt9vd5rJhgUAAr9eLpmlER0c3jLvdbgKBADabDavVathue5YNBoPU19cDEBMTSYH2eDz4/X6sVis2m63Dy+q6jsvlAiA6OrrZ89mRZdvz3HfG66Sl57MzXifh5/NEXydNn8+OLNuR5/5EXyeNn88TfZ209nwe7+uks48RYX6/H6/X+40cI47nuZdjhBwjjve5f31tPk98vh09GEQzW9DMFmwWE/+eN5busSacTmf7n/uyfeof9FB/GE/NUfwuN9aYNGwmM+z5HF0P4gr9TxsdE4vWZ1rz59OiqTMPAaeWDk5ns9eJy+XC52v0zzHgLNoKPjdRaUMwhYI3Z+L3CDlGyDHidPwe4Xa7cTqdJCYmHnPZ0/l7hBwj5BhxJh0j3G43fn+kp4X8r9HBY4TZDimTcOUvRHcV4dDXYE6fDJqpXceIS0dmccmIbqw7UMarK/L4dHsR9ZqDn/ruYlVgCD/nPzjwYLeAxaRh0wJcXfs6y1dt4Jf+OzhsyQbAZjGRaNWJtZnYX+VV2caAHgyg+32ggckauW+632v4XugPavxzfYD5uQEeOC+Rq8ako5ntoJlxu5wE/G5sFrBqHvBWEvTWUl9TDuwiJi5BBRmie1Dvt/GT19ZQ46xHM6vXyeaCSi76y0L+fv0opg6JlKI9KccIm1Vlc3srcVYeAV8FUZZgo2OEj1qvxu66FHbVpbCt2Mf2w/uprt5Ioj3ABfZtzHYv5BrfPm7U3HgBM+Cwqtty6naWe/qzIDCGD7QZVLnt3Pj6UZ6/PIFhWb0xuwtw4IbKLVC7D5clG92RiSMq6riPEW63m/r6+ob3YeNlT/fvEWfkMSJEvke0/nyeid8jGic4nOnfI9r73B+Tfgr7zW9+o0dHR+vdunXTe/furV933XV6Xl6eruu6npeXpwP6xo0bDetceuml+i233KLruq4vWrRIB/SKigrDMiNGjNB//etft3nbbrdbr66ubvgpKCjQAR3QCwsLda/Xq3u9Xv2RRx7RAf32229vGPN6vXp0dLQO6Hv27GkYe/zxx3VAv/766w3Lpqam6oC+adOmhrFnn31WB/RLLrnEsGyvXr10QF+5cmXD2EsvvaQD+qxZswzLDh48WAf0BQsWNIy9/fbbOqBPnjzZsOzYsWN1QJ8/f37D2KeffqoD+ogRIwzLTps2TQf01157TXc6nfr8+fP1hQsX6oCek5NjWPbCCy/UAf35559vGFu7dq0O6FlZWYZlr7zySh3Q//a3vzWM5ebm6oCekJBgWHbevHk6oD/66KMNYwcOHNAB3WKxGJa96667dED/5S9/2TBWUlLS8Hw6nc6G8fvvv18H9Pvvv79hzOl0NixbUlLSMP7LX/5SB/S77rrLcHsWi0UH9AMHDjSMPfroozqgz5s3z7BsQkKCDui5ubkNY3/72990QL/yyisNy2ZlZemAvnbt2oax559/Xgf0Cy+80LBsTk6ODuhLlixpGHvttdd0QJ82bZph2REjRuiA/umnnzaMzZ8/Xwf0sWPHGpadPHmyDuhvv/12w9iCBQt0QB88eLBh2VmzZumA/tJLLzWMrVy5Ugf0Xr16GZa95JJLdEB/9tlnG8Y2bdqkA3pqaqph2euvv14H9Mcff7xhbM+ePTqgR0dHG5a9/fbbdUB/5JFHGsYKCwsbns/Gy9577706oD/00EMNY5WVlQ3LVlZWNow/9NBDOqDfe++9hm2caseI8PvzhRde+MaOEeGxJUuWyDFCjhFdeoz4bOthvc/PPtajh5ynA3rSzDv13j/7WP9oU8FxHyN8hz7UvW71/N/7XXXseejH39G9Xq8eeOUave7/4hqWrXkx8r41HCPKc3Xfwfd0X+FXbR4j5syZE3mt1R7Vo6Ps6hixa3uXHSPCY9/k9wg5Rsgx4nT7HnHw4MGz5nuEHCPkGHGmHSPuvvvuhudD/tc4zmNEdk91jPjgT7q3eI3u9XiO6xgxfuIk/e21B/V7X92gj3rkCz0uUx17Pr4hStd/E6/rv4nXv7xZ3YfhGWb9tz//vt7noQ/1Xg99rNt7DlPP3WU/03s99LHe66GP9YybHlPvz6RuDWO9HvpYj+o7Tgf0lIvuaxjrdtvfdUA3xybr33pyib5o237d46xsfoxwO/XcjUvVMSI+Rn2fC/1MmT1bB/TE6d9u2G73u9XjgMms/2/F/q49RtTX6r/82X3qGHHr5brv0PyGfbNYzDqgH1z9vO4rXKh7SjfrN96tthszbJbh8bHaHep1ck9Mw+P+9IVq7OohloYx/TfxelacpgP6R3dm69/5v4f1Xg99pGdd8iN1jDh/pu6t2KX78j/WfQff03N6d1PHiC/e0b0eT4ePEe+++64O6GPGjDmpxwiZj5DvEV6vfI9ovOyxvkeE55ycTudZ8T2irWNEWVmZDujV1dVtxhtO6YyYiRMn8r///Y8BAwZQXFzM7373O8455xxyc3Mb+sRkZGQY1snIyODQoUMAFBUVYbPZSEpKarZMeP3WPProo83604QtXLiQhIQEAPbs2QNAQUEBn34aqRUfCKg6mosXL27Yxx07dgBw5MgRw7Jer2pSt3z58oZ937ZtGwDFxcWGZcNRzhUrVlBSosqmbNmyBYCysjLDsnV1qvHa6tWrG6KYGzZsAKCystKwbHV1NQDr169vGNu8eTMANTU1hmXLy1WN/E2bNjVECNetWweoaGnjZRvvY3h8//79gIooNl42/Jzk5uY2jB85omrG+nw+w7KHDx8GYNeuXQ3j4f3Sdd2wbPgx3bt3b8N4+LEB+Oyzzxqin+F9279/f8Oyjc+c+vLLL4mNjW3YXnj7jW9P13UAvvrqK1JSUhr2M7zfjZcNnwG9dOnShu3l5uY2PB6Nl3W73QB8/fXXDY9L+LkvKSkxLBt+vletWkVVVRWgnq/w49R42ZqaGgDWrl3b8FoMvw6qq6sNy1ZWVgLqdRSOAodfq3V1dYZly8rKGvYxfMZo+D66XC7DssXFxQ3bCo/n56vSQl6v17Bs+L7v2LGjYTy8fiAQMCxbUKCaY+/Zs6dhPPxaBwzLHjhwAIC8vLyG8fBjDvDFF180RPDz8vIa1mm8jbBT7Rixfft24Js9RuzcuROQY0T49kGOEZ15jPjHm5/yjx1mgrqxFMVVvQMEDm1g8XEeI5ZtOEitaQEARYUHATiYX8QXH73Phfu+MtzWFncG5aFtRI4R+1m35G1MupdqU9+GZVs6RgAsWKBuKymwm2AwCMDipSvI2LUPOLO/R8gxQo4R8j0i4lT7HiHHCDlGnCnHCIh81sox4jiPEfVqn3fu3I3mq8ZlWsWWLWqdjhwjaqursB7ZzKwYmDEC7ouyUgss0cZzob4Fk6Y3bMeEzi+tr/It8xoe9H2XtmZyosxBbupxkKyoemLNfp6IrWUrMCqhmgNakIBuLJm1/Wgdt7+ygwGxNezYo57PJz7fzmuVn9EzViMplNXs8+ss3FhNlF5GrbuebcXBNvYCfvXhDj5YuZ1r+gSNx4hPPgGCDY8HwGeffozFYgNNMx4jPvkYjQC639Ww7JrP/0VSTBCz7uFonnoflRTls37dWnQs+LTYyDFie5Cow3W8td/F4h2Vhv0bqOXzoOVNrsJNNR3Tw1TOc7YnWBkYwl2BHI4AFaX5LF/yOU6yiKIUt9sDwK51H2Cp20mdlsmmjbuB9h0jwseTpp8P8j3iNDhGyPcI4Oz5HhH+TF2wYMFZ8T2irWNE+LV/LJoefgZOA06nk379+vHggw8yadIkpkyZwpEjR+jWLdL49s4776SgoIDPP/+c1157jW9/+9t4PB7DdubMmUO/fv345z//2epteTwew3o1NTX07NmTQ4cOkZmZKWl+oWV1XWfBggXMnDmTQCAgaX6tPJ+d8TqRNL+OL3u2pwIHg0EWLFjAjBkzCAaDkgosx4gTeu5P1WPE/jInt7+aS1W9+pIYLkFx1/QcHrhwSMefe28V9fkLAY3oPheBOQp8NXgPL8IfBEuPC7AfXIzlnVvUc+8DXTNje3AXWnSy8fn0leBw5YLJjp4xC6ervsXXicvlYunSpVx00UVY9Tq0shU4XR70tGlExaWc0d8j5Bghx4jT7XuE1+vl448/ZubMmVKaTI4RrS4rx4hT7xjhdrtZtmwZF154IVarVf7XONFjhF6OpWarWtaRjcfer3OOETYrntw3sS78PY76Utx+MGkQFSqR5dEtPFF/Cc/5LyRgiSI+2s7lo7K4dnQ3eiZY1HNv08F1CM1bjbu2lEDAi81qIb/OwsPLLaws0NtVxkw9R0F0n5f0OBtzRmQzd2gG//n6AEt3FaMHA2hmM5rZyvC0IFtLQPepSUKTTW03Ox4em+FncLIPqxlsVnPkua9X803RUXb1fGomvN4APn9ALWuztL4s4NWj8BKLJToFe1wmWGINz+euMg8/fTeXw5X16AEfeiBAd1MFP436gCtMX2PSdJxeNR0YZQVTaLu+gE6NOZ7o5GQc/jq0GjV57PLp6Do4LGA2qWXdfvi3dy75fS/jjxdGgzkaPXE4Lp8Vve4AUYGjmDUVtPLrNtzWHphis4mKjm323Dd+ndTX1/PZZ58xe/Zs4uPjm79OTuPvEWfNMUK+R5wV3yPMZjMLFixgzpw5+Hy+M/p7xLGe+5qaGlJTU6murjYct5o6rQIxoIIoOTk5PPDAA/Tr14+NGzcyevTohusvu+wyEhMT+e9//8tXX33FrFmzqKioMGTFjBw5kssvv7zVjJeW1NTUkJCQcMwH9GwTjvpedNFFhtqdQohvnrw/xZmuuMbNlc+spLCq3jB+9dge/PnqEQ1fQjukYgO4jkB0d0geo8Zq9kDNbojKVM1q598Nm1+NrNN7Ktz2cfNtla4ATwXED1DNS1theK9Wb1QNVWOyIWlkx/dfCNGl5LNViNOTvHe7gPMQVKpgDHE5kDC487ZdvQ++/AXkfoGquGNUGdOL3WN/ycgpVxJlP0ahF78L/HWgmdE1K5/trObxBXnsL3O2vV47XTsqmUfnJvDYV0X8a119s+stJp37J+p8dzRYjqeHvckG1lgVaLHEgjUebElgan6/vf4gX+QW8dqa/9/efcdJVtX5/3/dW7lznNQTmcwwMEOQnEQQBEUREyZc3J+K7BrXsOx+Zd39ovJVDBhZF3TVXcOCoqsoSBpyHJg8wwwTe3pCT+fuyvf8/ji3uqq6q3t6YnfPvJ+Px31U1a1bt27V9IV7630/n7ONp1/b1z9/ttPMewMP8d7AX4k4mUGvA2gPTeCVpms47fTFVNZUA8aOO9OxGXauho0vQfvukq/d4k2keelHOPeMeXZG2VSoXgSOC71boOc1yPoXOgciUDEbymeU/Ayg/VVkvNC+mjfS3GBMtyYbKJlMsnbtWs4//3xmzZrFpEmTePDBB/uDmFQqxWOPPcbXvvY1AE477TRCoRAPPvgg73znOwFoaWlh1apV3HbbbaP2OUREROTQdCXSfPCu5waFMBfNb+Qr1yw+uBAm0wfxFnu/ck5+fsI/6YxOhGwGNvy5+HULrhy8rlSnDWEcx55ojkSqw4YwjlP8/iIiIiJjTfkMMAY6VkK3baN62MKY6jnwtp/AvJ/Bw9+AzuKGZLW9Wznr8Y9A1/1w6VehfGLp9QAEy+wEOMCbTqnispOauPelZr711w3s7EwM/dr9mFAZ4earTycQC/HFt5/IyXNb+MK9K+hO5MOOjOdw29MOf9lWydeuWcSCydX+lhQwWcDzbwEn4E9Be1w4jJbOOM9tbuO5zW38ZfUuWntsVU4VvVwVeIZrA49xqrtx6BVEq+DUt1G74GIuik2AcB2EayBQCWRgQidM2wXzVsL6B2H1ExDvKVrFTHc3M1/5Mj29b6LirDcDO+wxbfWJ9pi2fBb0bYeejZCJQ+ca6H7VXnhUPrP/30dE5Fg3poOYz372s7z5zW9m+vTp7Nmzh3/7t3+jq6uLD37wgziOwyc/+UluvfVW5s6dy9y5c7n11lspKyvjuuuuA6C6upobbriBz3zmM9TX11NXV8dnP/tZFi9ezBve8IZR/nQiIiJyMOKpLB/+6Qus29VdNP+UqdV8/72nEgoczOWG2Kv1jIFoo73aECCbsAEJ2CBm6xPQt6/4dfOvGLyuXtvnmdgUCEQHP1+C02N70lI2FYLlwy8sIiIiMtoqZgIGOlb5YYwD1QsOz7qDMTj5b2Hq2bDsa7Dif+1xWo7x4OV7YcPDcNE/wOk3gjuyY8BgwOWdZ0zj6qVT+OOKFtbs7KIsEqS+PExdeZi23hTPbbHhxt7u5JDr+bc3TaU6kn/PK0+ezMlTq/nEL5fz0raOomVfae7mqu89y40Xzebjr59DJBgoeDbASPQkM6xq7mTljk5WNHfy8rZ2trfnL0py8TjfXcW1gWW80X2eqJMeemWhKCy+EhZfAVWzbAW3G4HELujZAql9NgyKNEBsMtQshgnnw5y/wiu/J7vueQK54MhXsfFPmB1P4Zz5XphzJrS/DH3b7GsrZtrgpa/ZBjLpHujeZI+/o5Og4gSI1I3oexARGa/GdBCzY8cO3vOe99Da2kpjYyNnnXUWzzzzDDNm2CtLP/e5zxGPx7nxxhtpb2/nzDPP5IEHHqCysrJ/Hd/85jcJBoO8853vJB6Pc8kll/CTn/ykv6+ciIiIjB/JTJaP/PxFntvcVjR/Zn0Zd11/BmXhgzy0yaag1w64R8Xs/PyEHcDRXhkYgdW/K37d5CVQO3PwuvzBXamYNaK3D5peSHgQDEHl3APceBEREZFRUjELG8astlUOJuO3pTqI6uSBHAfqF8OV34U5F8LD34b27cXL9HXAn26G5f8FF3wOFlw94veOBANcs2QK1ywosyFP7nWhOj54zkyMMWza28sDa3bx55U7WdGcvwjo/YsNlzW+Ci2v2Qt4guUQrGBatJxff3A2335sJ99d1lLUWC3jGb7z8EbufWkbH7tgBteePotIeP/tfFY1t/O9h9bzwNp9ZEsMLjDLaeHawGNcE3iCyU7b4AUKuQFYeAksuRrqT7THnW7IVjYldg8IuzIQ32UnsK175/wNTDyfwAn3svmB3zErvblo9U6iAx77HmxYBme9B+qBPctsVUzVPCifZi86Su61IUxir61Ij7dAuNoGMsHG/X4nIiLj0ZgOYn75y18O+7zjONxyyy3ccsstQy4TjUa54447uOOOOw7z1omIiMjRlM56/N1/LWfZhr1F8xsqwvzn35xJfUVkiFeOQNda2w4iVGUrYnJyJ57RSbYt2drfF79u0VsHr6tvm71KM1xje3iPQIW3E5htK2hUDSMiIiLjScUJgGt/zO/ZDF4aapccnjAG7DHVor+BptfBE9+Cl38P3oCxTlpWw68+CHUz4MyPwdIPQHjAMZUx0LsXWlbAjudg+3PQ/CIku4qXc1yYshRn9iXMmf165px/OjdeNIfmjjgvbN5HTSjOBU0JSO62rbZS7XbyBYHPnAwXNMDnH3Z4raP4e9jRkeLm37/KHQ9t4H0nBwgFQ7QlArQlXHAcplS6NFU5VIc9frWih4c3e4O+kkr6uDLwDNcGlnG6u2H/32G0CuacC4sug4lLbQATqoBEK7Q+nR/DJVxjK2Bik+2/Y2KPnVLt9kKjVDvUnQZLP8eEiRfw7Z/eww2Z/6HCGdDirWUl/HYVLLgUll5pv/u+7XbcxPIZEJ1gp3S3DWT6dtjWvm3LcUyACq8ZsnE4zsedEJFjy5gOYkREREQAsp7hs795hQfWFA8SWh0x/Oxqw3SzEjorbV/r6MQDO/HvWJWvhqkqaKfhZe3VegCxIdqSnfjW4sfG2EFJwfa8Hol0FxHjn7xXzhv5douIiIiMFRUz7eDr7S/bH9VNxv5g7xxky9iB3ADUnQJv/AbMuwSeuBN2vDJ4ubatcP8X4P4vQuVEqDsBqqdD5w7Yswbi+6kYAXtBTfOLdlp2G0Sq4aRraFr6fpqWnFpwnLnYBgnpbsj0QrbX3hobnJwx0/Cn93t897kMP3w+SWZAnrKr1+HrT3vA0O3PCjl4nOOu5trAMi53nyfmpIZ/gRuA6afCvAvsbfl0qJxtL/oxBro2QNd6u2yoCupOhVBl8TrCNbaSJdUObS/ZMRX3PgnVCymfdjGvv24Gb/zx6/hi8BdcFXh24BcJ6x6AjcvglLfAokvBW2WPlatOtMfXoUqoPQWqFkLvVvtcqodyrxln90NQPiUf3ByuvyURkVGiIEZERETGNGMM//S7ldz38s6i+eUhw0/fYlhYm8xfrccm21O8fJY92XT3cxVdx2p75SbYk8BYwWCvyVZ7Ih2M2ZPTUm3J6ga0HkvssVdGuiFb3TICTrcdG8bEmuyViSIiIiLjUdlUcELQ9oKtKm59BurP2P/x2IGI1MG898Dk02H1r+Hp/4TuvSUWNNC9y048dWjvmeyEF++2U+MCWPJeOPEttj1tqHJweFEgCnz2bfCmM7v45/tW8eLW9iGXLaWRDs5013K2u4aLAi/T5Ozb/4vqZ8C8C2HOOVA927YDi07MBxnZpA1Vkq32cfl0qD7JBjdDCdfChAug/RXbRqxjNaTaWTxrCW+/KMVNjzTwq+wKvhy8m1lu8YVTZBLw4q9h7UNw2tth7rmw7zn7b1m10N4GwlA1FypnY7q3k3L8Kp/cMX4gCmXT7LYGyw7oOxQRGSsUxIiIiMiYZYzhX/93Lf/9XHE/8GgQ7nrXVJYsmG/bFmS6Id0FfTttENK5Bro32DAkOgEijfYqzRwvba8C7HnNPq49xZ7YFUocRFuyXj/UKZ8+/MlsTrobEi32fsWc/S8vIiIiMpbFJkLDWfaH9uQ+2PsE1J95eH88dwNQvQBe9xk44SJYeS+s/gt07NzvSw/Z3nXw4D/baeJJsOBKmHk+1M6Aqqbi4z/Pg3g7tG/hxPbN/M+iLeyq3sL67bvo6ekmSpIQWZKESBAmYcIEnSw19FDr9FBPJ9PdUiFTCdEqG7zMvxiazrDHr9EJg0Ow5D5oe9GGMU4Aak+2AdpIuCGoPx16tkDn6v7j7psuOo0H1u7l8V0nc3nqa9wQuJ+PBe+jcmC7sr598PidsOYhOONaaDoJkk/akKh6gb3wyXEhNoX2wALMhAsh1WJbmmUTdgyi7ldtG+GyafYzjuR4W0RkjFAQIyIiImPW7Q9u4K4niwcBDQfgR+9bwpkLmuyMYMxeSQe2zUG82QYs6W7bcqx3mz2py43XkunJ98EGewI6MIQxxg5YCvbkcCRtyTK9dsBRGHlbsm57tV/SqRv2akoRERGRcSNSD43nQuuzkO6BPY9Dw+tGPHbeiAXLYdIFUD0flrwbNj0Mq/4MzSuKB50fKBCCCQtg+lkw4wKYfAoEo4Cxr9u7DjY+CBv/CnvXD72e3avs9NjX7GM3CJVT7LiDiS5IdRct7gCT/YnDkR84AZi+xIYv866AiukQaSjdwssY6N4I3evt/VClbR13MMefFTPt6/Y9D6l2wu1P8Y1rFnH1D18i6YX5fvZqfpW9iH8qu4e3eg/jMKAn275N8OevwZRTYMmVMNk/7o5OtFUxjl8hHiyH2EI7rkxit21dltibn9ygP57NVPs3d7jGJBIROUIUxIiIiMiY9P1HN3LHwxuL5gUcuOO607hwwaTSL3IDNlQpn26v+IvvsidumV77uFAwBpXzbbuGgdKdNqxxg/bEbvVvi58v1ZasZ4u9jU4Y2VWf6W57JSHQ446sjZmIiIjIuBCqggnn28qYVCfsfQpql0BZ0+F/r9hEO9WeAguvgc6N0LENOlugaxf0tkPFBJh0Ckw+AyacDIFhfg6rmgyzL4Y33mrHlln+Mzt1Ng+/HV4GOrcd3s9WSt10mH8RLLoG6k+0FSLDjZ+S6bUtxXLHwuXToHrxoVWTROqh8Tz775vpZVHwZW66YArfetR+R/uo5lN9f8P3nMv4euV/sST18uB17HzFTlMWw5Kr+gMZJ1hD2HTll3NcP3CZbMeo6dtuxyHK9EHvdjsForayp2yqLm4SkTFLQYyIiIiMOXcu28Rtfy6+AtEBbn/Hybxx0RAhzECRejuxyA9iWsEJQrDCXmHnDnMYFM+1JZtg20qs/UPx8wPbknlZe1IIUDEgoBmKPzYM0UlknD0je42IiIjIeBGIQsM5djySxG57m+6044IcieqFYMy2uKpeALliZ+PZabjjvuFUT4WLvggXfN5WSC//T9jwACQ6D9tm71coCpMWwJSTYPaFMO2CkQ1ebzzo3mQrsI1nK2hqFpe+COmgtqvChjFtz0OyjY8v3M4Da2Os2Z2vPN9opvLWrs9xvruS/1v2C6ZnSgRVO1faafJJNpCZOJ/a7Dqc1iehZmHxGI7BMlshUzUfkm02kInv9FuXbbRTqApik2yFTahalTIiMmYoiBEREZEx5Y6HXuUbD24YNP8rV8/l6lMP8sQxWG6nkTAexHfY+9FJI2tLFm+2484Ey+x4NPuT7rEnjYCpnAsoiBEREZFjkBuE+jOga60fCmyyFTJ1p9kB2o80x91/YDESrguzLrCTl4VtT8Pq38DmZdDRDJnk0K91XKhogKpJUDURwuUQitnJCdgq7HTCDmrvOBCthli1va2ZAVNfZ6teRnosC5Bqt1Uwab89WrQRak4+/APdB8LQcDZ0rCTUu40fXx7nb+8Ps3pPpmixx73FXNRzK28PLONTwXuY4uwbvK6WVdCyCnfiQmpic23Qsu85G6xUzrZjPxb+W0bq7FRzkg36+nZAYo8dNzLdZceDDETtZw9VQ7gGglUaV0ZERo2CGBERERkTjDF844ENfPeRjYOe++dLJ/Lus+cdnQ2J24FHCURsC4TVtxU/X6otWe8We1s+c2RX3XW/avtzxybZE0MRERGRY5XjQPWJEKqB9pdtlfLeZVB3BoTH4XGQG4CZ59kJ7DFd717Ytx46ttoxaCKVNkiJVNowJVhxdAIALwNd66DHH2PRDUPNItuy60hxXNsWLlzLFGclv782xf+8GuX/PW1o7UnnNw2X32Qv4r7suVwbWMaNwfuY6rQOWp27ey0LWIu572U46Y0w+2wbrLiroXyGnYKx4vfPtS7z0jaUie+yoUw2YVuX4VeuO44NZ9xwfnKCNhBzXHsbiIAbtcsFovaxiMhhoCBGRERERp0xhlv/tJZ/f3zzoOduvrCMG15/2tHbmO5N9rZ8FiR7YNU9xc8PbEuWardXdjoulI2gYifTaytoACrnHvLmioiIiIwLZVPyg7xnemHvE1C9ECpOGO0tOzSOY8egqZgAM84fve2I74KOlTZ8ABu+VC86OpVHYMdoDFUS2PcC75qf4MoTXH64upEfP7uPRNrrXyxFiP/KXsJvshfy9sAybgr+rmQg47Rvg8f/HZ7/FZz4BlhwCXgp6Nloq9YrZvltiAu4ofxYMcaz4+Kk2iDVkR8DMhMH4iP/XIEIhGttkBiugXCdqmpE5KAoiBEREZFR5XmGW/6wmv98euug5758IXzg0jOPXm/nxF57xZ0TgIqZ8OydkOwuWMCxA6MW6tlib8uaRnai27XeXjkZnWBP5tLp/b5ERERE5JgQqoQJ59vKmPgu6FgNiVaoXXL0AoNjjZe2AUyff6FPsMy2IYuOoF3u4RauhQkXQPvLVLCHzy7ZzUdOncjDuyfx59V7eXT9XuLpLABpgvwy+3ruyV7ANYHHuSnwO6a5ewevM9EFL90LL/8e5pwLJ10GdQbiLfbvqXymPQ53Q8Wvc1z7HRR+D9mEnbyUDWW8FJisP3lgMv78hH+btLfxXfkxJB3XhjHRRtuSOFSlcWhEZEQUxIiIiMioyXqGm3+7kl8+v71ovgN85WKPd5819/D3sh5Ot98WrXwGGAee+WHx8wuuhNoZ+cfZVP9YL5TP3P/6Ux35k+SqBYe6tSIiIiLjjxuy48b0bIHO1baV1J7HoHYpRBtGe+vGl2QbtL9kqzwcBypmQ+W80a3YCESg/nXQuxk611Lp7ebqyV1cvfAU4u4S/riyhe8/upHX9vYCNpD5VfZi7smez9sCT/CRwP8yx905eL1eBjY8ZqfJC2De+TDrbDsOTudq2/K3bJoNR4YKRnLtxkbKy9pKmnSHPY5PtdnvOtlqJ9ba9ma5UCbaeGDrF5HjioIYERERGRWZrMfn/mcF9y5vLprvOvCNN3i87cTo0W3dleq0J1SOY1tkrL0POrcVL3PO3xU/7ttmr54L19hpfzpX29vyaeOzJ7qIiIjI4VIx0w623vYipHug9WnbbqpqoVo/7Y/x7GD0PRttpXWwDOpOtRUpY0HueDpcB20v2VZ0rc8Qq5jJtUsX8ralTdy/qoXvPryRdbts9XmGIL/JXsT/ZC/gQncFHw7+ifPcVaXX37LOTs/8F8w+07Ytq/Ogb6cNgnLtyUJVh/Y53ID9G43U5eeleyC511bSp/bZqpq+5vzFVqHKfCgTrtffsoj0UxAjIiIiR10q4/GpX7/MH1e0FM0Pug7fvsxw5Rxsz/CjeeLS448NE5tir2R76o7i55tOh2ln5h8bA71b7P2RVMPEW+xVi05A1TAiIiIiYH8ob7wAutbYCpmezXaQ9dolxT9+S166C9qW21uwF/hUnwTuGPyJL1xjW5V1rfX/fbdAYg+B2iVcdfIUrlw8mT+v2sXXH1jPJr9CxuDyqLeER1NLmO9s41Nl93OZeQrXK9HON9kLax6204TZMPdcmHu+bSfWvcle+FQ21Y4pc7iq7EMVdqqYZQOxVIf9m0222sqZdLedel7z25jV5oOZULXamIkcx8bgf6VFRETkWNaXyvCxn7/EYxuKe0CHAg7fu7qWy6a02hOWWNPR26hMPN9irHIObH0Kdi4vXuacm4pPnBJ77OvckA1vhmM86Fzrr3+2WhaIiIiI5LgBqFlsfyxvf9lWT+x90q+OWTA2A4bRYDzbRrd7g70gyA1D7ckQmzzaWzY8N+j/+06Gjpch0wd7n4LyaThVJ3LF4slceuJEfru8mW/99VWaO+L9L11vpvPR3o/Q6LyLb079K+d2/xUn0VX6ffZsstNzv4YZS2DmaTDtNFv1zmob+sUmQ3Ti4RvXxXGLK2a8tA1kEntt1UymD5L77NS1zp43hGshUm+rhcI1dh0iclzQ/81ERETkqOnsS/M3P32eF7e2F82PBF1++O75XFzjt+6qOenoXS1mDHSusrdRf8DNp79bvEzNdFjw5uJ5/dUw0/dfudO7xf6oEIjY3t0iIiIiUizaCBMvsq1ce7fb6ph4i/0RPzZptLdu9HgZe8FQz+Z8FUxssv1eApHR3bYDEW2ACRdB5xro3Wr/jeO7ofpEguXTeMfp03jzKVO4/YF1/PjxzXjkzwX2mhret/1aFte9hR+c/gJTdz4CO1eXfp90AjY+Y6dYJUxfDJPnw5RFkNwDbsSGWJF6iDTYQCRUeXgCETdk/21y4VimNx/KJFttUJPYYycoqJjJBTO1Ch5FjmHau0VEROSo2NOd4AP/8Vx/H+icsnCAf3/fKZxbuQqy2PYBQ423kk3aqwEBMPZkxw0d2oZ1roH4LnsiVLUAWjfC+vuLlznrRggUHDZlevMnUOUzhl9/NmV7eIOu6hQREREZjhuybcliTdCx0h5z7XveBjHViw5fe6mhGA9M9tCPLw/l/bNJ8BKQTdhj1HiL3Saw21WzGMqOYuX44eQGbRVP2VToWGFbeLW/DH3boXoR0XA1/3DZPKo6NvLHvbWsHXDesLItzMVPncOnzzqbj5y7C3fDo7DhcYh3lH6/eDesf8pOgTBMmAGNTVA/BWqmQCjmn09EIFID4Qb73UYnQ7jq0MOZYDlUlNvxkIyxQVpqn21XnPTHl8lVzOSEqvzxJ2ttOBMsVzszkWOEfgkQERGRI+7V3d38zU+fZ3tbvGh+dSzET64/naWxNZBK2H7LNYsHr8DL2IFcc+FHjuPYK9liU+yVZwd60tyz2fZvBqhdavs2P3QTYPLLRKth6fuKX9e71X9ugj05Gk7XGnv1W6gKyqYd2PaJiIiIHI+ijTDhQuh+1Q5IH99ljwMrZts2sofrwhYvY9ebardTutOGIW4Igv5YIKFqe5x5qK1lvbT9AT7dBZlue5uN2x/oc8ee/RccDRCqsMeRZdNtoDDeRers2DE9r9kLlpL7YM8yW2kem820Crjn7Wdy99Pb+dZfN5DO5o/N0x587SmHx5tP4JuXTGXiaW+Hbcth/aOwfQVFx/GFsiloedVO4LfEmwg1jVBdD9UToKrOXnzlBOy/f2yi/73PgGi9nXew4Yzj2DFrwtVQcYL/YXr8YGYfpNps2+N0l516t/nbGcoHM6FqOwVjB7cNIjKqFMSIiIjIEbVsw14+/ouX6E5miuZPrIrwsxvOZF74NehttycZ9a8bfGKdTcC+5/z+zhSc/Dj26sDEXjt1rLTBSGyK7f28vxP0+G7b+gKgeiGUTYFnfwRr/1C83Gkfgkhl/rGXyZ8Ylc8c/j0Se23bBbABk65mExERERkZNwDVC2yFQudqe1zV/apfPbHQVs0c7LGVl4XezXbMlVKDwHvpfDjDduhY5Y9hmBtjpGJk75OJQ2IXJHbb1lRmiJCgkOPalmNuxP7oXj7NvvexxnFtqBZrgq610NcMvdtwurdR7u0k5Bo+fvEcLp4/gU//+uVBVfVPbY1z+S9DfP0t87lkXiPMPAN69sFrz8Brz0Lra8O/v5eFtp12Ktym6kaoqoeaBhvO1E6w4VeoEiK19vg/1uS3EzvEVmIhP+zLVdhnE5DqyP/tpTr8dmb++U6OG7aBTi6YCdcc+WoxETlkCmJERETk4BnPnhy44ZInwj97Ziu3/H41Wa/4pHNGfRk/v+FMpoV3Q8c2+9q60wZXl6R7YN8z9iQ2ELFBTWHbskwv9O20fbPTXX77hl32KrbYxPxgnLmr14xnrzhL7LFVLcbYK+8q58COF+EvNxe/f7TGtiUr1LfNfuZguQ1+huJloOMVe79iVn4QTxEREREZuVAlNJxlj/E6V9sB0NuWQ+hV2/Y1OmnkgYyXhb6tNoDJJu28YLmtwAnX+j+sRyHba49DMz3++B5t+R/HO9fY6phIvZ0CMcDxJ2OrXXI/omf6BnwWv8ImVOUfo5bnX+s49hh2tNqijZZgDOpOtQFH52qIt1Lh7cDZ/TDUnsiJk6dz303n8q2/vsqPHttE4WlFe1+aG365mevPmckXLllEtHwbVE6Ak6+Ejp2w+TloXg271jFkpUwh40HHbjv5113hBqGhKT/VboJQGYRq7HlJbKr9+8mN83IoFUuBqG3DlxsTyXi2fVuqHdId9sK0TLdtaTYonAn5oUx1/m8sWH54xr4RkcNCQYyIiIiMXKbPXoWY7rYnAZleG2Y4rj0JDZZBsIJssIZ/e2gfdz+9Y9AqTplWw7+/ex4TWA+dzXZm1UJ7AlMo1QmtT+dDj4Yz80GNMdD6KsTboe4EmDjXblNfsw1lcgFNn3+Fm+PaMCbTm++xDfY9axZDXxv85oODr4h824+gcmL+sfGge5O9Xzln+JP+rrU2QAqW2R8JREREROTgxSbZi2B6XrNBSroH9r1gf3CunO1XRA8RYmQT0LPFXojjpey8YBlUzS9dWeP6QQkA84rHa0m12cd9zXban0idDYtik/bf0vZ4FqmDxvMwXVvIOivBS9qK955NRCrn8fk3zuOieY188lcv09KZKHrpT57awrOb27jjPUuYM3kRxJttSFIzBZa+FRLdsHMt7NoIezZA6yZGFMyAvbhqz1Y7AQTD0DgDGqZAw2RbQRP2q1JC1X6oV+cHM/WH1kbMcfPtzHKM57cv67TnS+lO+9hL26qrZGvB6x2/xV4lBCvtbagKAmWq1BcZBQpiREREZP+8LPRssu0gSvWuNp4NOTK99KT28nd/cXhk6+CD+ysXVvKNSw3R+DP5meUz7Mlz0fqMHbjTS9uTmvoz7bnSxodgw59h/f3QuT2/fFkdNM6HyUtg4Vtg0lLbBiLX69vL2BMUsFeaRSf400TIZuB3Hy1eH8C5n4T5lxfP62u2J96BiB1kdCjJffZkH6DmlMPXx1xERETkeJZrZ1U+wwYyPa/ZY7y25f4YHPW2KtoN28DFS9tj1HhL/hg2WAaVc+2x3EirBQJRO+B6xUy7nlS7/6N3G5h0wTgvxv/hu8avsKk+/ipcDoXjQNlUWt3FmOqTIL7ZXgjW/jJ0b+DMiXO4/+/P5fP3ruIvq3cXvXRtSxdvvuNJbnnLibzz9Ok45TPs30ZfMwR2wAmVcMLr7MKZFHS2w75mG8rsWgVtm0a2jZkBY82Ey2DCDFstUz8Raib7oUyNH3xUFAQztYc2zgz44UyNnXK5nvFs9VaqIx/QZLr9c6BuOw1cR7DCr8zKhTQV9sI6VdCIHDH6VUBERESGF98NnavyrRUi9f4Vff5VVW7YhhOZPprbOrjht6+xbu/gXtt/d7rhU2d24nrYk6zYFDtQZWGrsZy+7fbEyQ3ZEGbHi3Dv3w4OS/qXb4OtT9vpmR9AxQQ48a12aroYHP/KsWBZ/upGY2yo85cvQtvm4vVNPwde/8/F84yxg8WC3e6hTlK8LLT7LcnKp0O0ofRyIiIiInJw3JCtZimfZcd6ibfYH5sHVgQUitTZY7gDaWVWiuPm25LJkeG4tlVZ1Qn237fnNT+QWUFNIMoP33oCv5hTz7/+cR3JTP4isXg6y+fvWcmyDa3ces1iqmNVUF1lq9NTbTaUSeyyC9dPtNP80yD0/4ETg8690LoZWlbArhWwZ03pi9AKpfpgx1o7AcSqYMIsaGyCuglQ3ZQPTnJBR6gqH9aEq+151aH+TYYKq7h8mbgNZHLdDNJdtpLMZP37XQPW49hqmWCFrd4KVUCg3N4PRFVFI3KIFMSIiIjI0DrX5FtxBaJQvcgOaj9QsIwXmxN85GdbaO0pDmHCAYevvmki1yyK2BYDQX9AykC09Ht6GehaZ+9XzYPNj8Mv32tPJEaqZw88d6edghFoOg1mXQiVk+xVbJkEbHzArnugsga49j8gMOAwKbHbnri4IXtiOJSudfbKy0AUqk8c+TaLiIiIyIEJhG0gUzXfHn8ldtuxAMEeszkhe9FQbFLpi39kbHMDfgXULH9sn02QTeB0ruF9M4Kccf1k/v4PHazf3Vv0sj+ubOHl7R185z1LOG1GnQ0QcuGZWWzHW4nvsqFMusdWONEOUWD6TJh7uq2eNxFoXg6bl9lp96r9b3O8C7a+YiewwUzDDKifDHWToGEmRGps+BLw25Y5gXyQ0j9VHno1VTBmp8JxLY2BbF++UqY/qPFbOPtdDgZxAjaQ6Z/K/NCmTJU0IiOkIEZEREQGMwY6VkCvP0pl5WyonFeyxZYxhrue3MJX/rSWTOHomUBtWYg7P3A6Z8w8gIHqc4OnBsth+xr4nw9BNlV6WTdog5vhZJKw9Sk77U8gDG//MVSVCJu6/WqY8hlDtxpLtNor9gBqT1ErChEREZGjJVhuK14qThjtLZHDzQ3Yf9fymdC3w7ZMTvcwP7qd+65x+L9Pl/Gzl4sv2mruiPPOHz3DJy+Zy40XzyHg+tUcjuO3jauF6oX2Yq/kXjsl9tp2dvFddgKoLoezroMLPwEZA9uesaHMa4+NrJ1ZvAu2r7QT2IvEGqZDwzSom2xvyxr91mLtxa8NxiBYEMzkKlUOpe2x4+TDlNik4ueyCRtMZf0wpvD+UFU0OYGoP15oeUFA49+6EVXTiKAgRkRERAYyHrS9ZFs8OI4d46R8WslFuxNpPn/PCv60cteg52Y3lnPX9Wcwo/4ABiXNxO2JFUDza/C/n7MH/YUmLoZFb4X5V0DjAmjfYtsGtKyAdX+EPatH/n6Fmk6HN91mq2cGSu6zJ0aOO/TJvZeGjpft/fIZxVeeiYiIiIjIoXFc2/q3bJqtfOrZRDS5j389r5fzpsDnHnLpTOYXz3qGbzy4gYfX7+G2t5/M3ImVg9cZjEFwul2vMXaMlYQfzKTabAjR02vHf3QcmDABpn0MLvs/0NcDW57wK2Yeg67m/X+GTBJ2vWqnnIoGqJ8G9VOhcRbUz4BIFWDs+VGieDwcG3pU2NZhwYLpUNuHBaJ+14IBrZVzVTSZXhsYZfrslPVvTdaGONmEHTdpIMex63Wj9vsOxPz3KrivsEaOAwpiREREJM/LQtvz9uTDcaHuVIhNLrnoul1dfOznL7G5dXDp+nlzGvjee0+lOnaAFSFda20Q1LwB7v9X7KCnBRa/A976AwgUrLd+tp0WvhlefzPsXQ+rfwfr/mAH3hy4joGqmuANt8BJ14I7REl9t3+iVDYNApHSy3SutidKwXK1JBMREREROVIcB2IT7ZTugt6tvHHODhY3Zvjkgw7P7Sz+QX/5tg7e9J3HueniuXzsotmEg0Mc8ztOfjwX5trK++S+fMVMuscGDck26Fpvq9+nzYW550D469C1ywYym5fZFsh9Q4xXNFBPq522Ls9vR00T1E21oUzdDNvSLFZjz5X6Q48B68+1D+sf28VvG3ao7cMKq2gocbFZNpkPZQoDmmwfZOM2yMnEgfjgqp/C98iFM24kH84EBtxXYCPjmIIYERERsbw07HvOnlg4Aag/A6KNJRe958Ud3Py7lSTSgwevvOniOXzq0nn58v+RSrXbATQ7dsJDtzMoQFn6AXjzt2xrguE0zoeLPm+nvjbbPmDLE7Bzuf2MwahtQRYugxnnwqkftPeH0rstH0xVzi69THwX9G6392uXHFq7ABERERERGZlQFdQshqqFTKnawX+/cyvfe7qLbz3n4Jn8+Ug6a/jmXzfwx5U7+cgFs7ny5MlEQ/s5r3CD+cAHhmhj1mInsEHF7NNh0RUQrof2bbDtadj+DGx7Fva9OvR7FTIG2nfYadMz+fmxaqifBY2zoWEONM6FmqlgEvnKlKHah/UHHQPahh2O9mEBPyQJ15b+LF7SBjLZhL3NxMFL2Nts3D6fC2v2Ny6o49hxn3JhTS6cyYU1btie67kRf5wojV0jY4d+JRARERF7FVPrM/ag3Q1Bw5klD6QT6Sz/8ofV/Pdz2wc9Vx0L8c13ncLrF0w88Pc3HrS/Aqk4PPRdSPUUP3/mR+Dyrx34yUFZHSx4k50ORqbPVroAVC3wrwIbIJu02w52MNHIAYyHIyIiIiIih84NQsVMAhUz+furujln3kY++/udbOksXmzD7h4+85tX+PL/ruGaU5u47nXTS7csK2XINmZ77EVluYHue7fa5cM1Npg58Qp7jtDXBtuftReKbX8OWl7Zf/BQKN4JO162U04g5FfMzLPhTP0sqJ0BFXVgUgXtw7x80JHcN3jdjlMQbuRah5W4f6DBRn8AFB16mUFhTcKeY3lJe99L5h8b41fgJIcer6aQG/KDm3BBSFM4RYrnOUFV3MgRoyBGRETkeJeJQ+vT9qQhEIGGs+yVZQOs29XFZ379Cqt3Dj7gPXlqNd+77lSm1Q1TWTKcrg2Q6oLHf2yvHCu0+NqDC2EOlTHQ/rJtSRCpKz02jDHQvhy8lP3OquYf3W0UEREREZFioUpOX7SUP89dzLf+soJ/f6qF7IBi+854mruf3MLdT25hcVMVb1s6lbcsmUJDxRBtiAcaso1Zq9/GrBtSHXbq3mgDjHAdTJkDM/2L3oyBvWuh+SVofhF2vgS71wweI3M42TTs3WinQm7AVsvUz4HGE21QUzcNqidDIFC6fVguBKFj6PdzwwVVKANvcxUq4QOrsBlJWAN+YJPKBzTZgqCmP7RJQTZlb8FWLXlpYHA77aE/Y8gGe04uxAnlJ6fgfuFzTu41qsCRoSmIEREROZ6lOm07smzCXuHVcPagqo9kJst3H97IDx7dRMYbPN7K+8+awT9dtZBIcD+l/cNtQ89GWPEH2Pxs8XMTFsKb7xidq5J6t9iTKSdg242V2oae1/y2ZQE7no4OvEVERERExoRoOMgX3nwqV53ayef+5xXWtHSXXG5lcxcrm9fwf/+4hgvmNfK2U6dy2YkT99+6rNDANma5MVwSe+1t7nFuXBfHgVANxOrhxMth6XX2B/1UH+xaAS0rYPdKO+blnrUHVjkD/tifW+306kPFz5U3Qt0sqJsNdSdAzQwb2lRNhEh5ieoU/77J+kFICij9XRZ/J+GCYGZAVUou5DiQahTHybdBK3HhYBFj/BAmVTxlk4Pn9U8Z/7vLhTcH+J2DPR90gn4oEywIdIIl5gf9EKfgcdF9VeYcaxTEiIiIHK/6mm3Fh/HsgI4NZw+6CunFrW18/p6VbNzTM+jlsVCAr759MVcvaTr4bTCe3YY1f4Xnf1P8XLQK3vPL4cdvOVLSPdC5xt6vPrF0S7JUJ3Sts/drFkFohC0NRERERETkqDmpqZrf33Qef127m188u43HX20tuVzWwCPr9/LI+r1UhF2uWNTA206bxVkn1OMe6PiXgSiUTbUT2POL1D6/amafDTZS7cWD14cqbaVM/RSYvAiCf2t/jPeysG9TPpjZvcredu88uC+kd6+dtj83+LlwOdTOgtqZxVP1LKicCMFgQduwIW69VEH1Smrk2+U4NrQoah9WUG1SWJGSCzHcgseFwYXj2PUEwiN/f+PlQxiTzt8fNC9VYl4mvw5zgJ97yO/DtRf8OQE/nPHvO4X3h3nOHbBc4fpw/ccKe44mBTEiIiLHG2NsyNDzmn0cnWCrOdxQ/yI9yQz/78/r+M9ntmIGF8EwZ0IFP3jvqSPvpzyUrg3wzF2w/HcDnnDg2p/Yg/6B+gfF3GnbqeXK4QNRG5hEGg8tFEnste3GjAfRRqgotQ0ZaHvRLhObDOUzDv79RERERETkiAoGXC4/aTKXnzSZrft6+e/ntnPPSzvY250suXxPyuM3y/fwm+V7mFLpcvXiOt522izmNU04uA0IVdgpd96Q6YNUWz6YyfTadmbpbuj1WzW7QVs1E66FihqouxJOent+nX1t+VCmdUN+6t17cNsIkOq169y9qvTzkWqonupPTfa2Kvd4JlRNsdvd30KssAKlRIVK//yMPU89lBCjKKwZohKlP6AYokLFCUJohO3pChkDJuN/jkzxfS894PF+5hvPX6fn30/DAXSrOyCF4Uz//QGBjVsY3gSgrMlvyScHSkGMiIjI8STTaweWzw3QWDnXjmtScCXMI+v3cPO9K9nZmRj08tnubv5h7nYuaUoSeu7X0Ntme/DWzLCl7TUzbHl7wzwIDHOYYQx0vwp/+jysf3Tw8xd/EeZcUjwv1Q5dr9qey7mDUwD6Br8+ELUBU6QRIg0juxLKeLbCpXuTfRyqtC3JSulY6Y+pE4XaU/a/bhERERERGRNm1JfzhSsW8NnL5vHkpn389qUd/GX1buLp0r927+z2+MFTrfzgqVZOqIELTohx0bx6zpozhWh5/cG1Jw6W2SlXMZNN+hUyHfY23eGPO1PQzgxslUi4GkL+NO00mHl+cWVDXxvs21gQzrxqb9s2H9j4M6UkO2FPJ+xZPcQCjm19VjkpP1VMGvy4egIE8hcC2mqUUoFNYUVKZkAlSi7M8D+T54cZB9NSrOgjOPnqksKApmSVyRDznKDfbi02YJkR/K0Yzw9lsv5UcL9o/nDPDVjOywKe/9gUv1cu7BmpcLWCmIOkIEZEROR4YDxbAdO13t53AlC31FZz+Jo74nz1/nX84ZWBJe6Gc9zVfKrsT5yReRm2YqfhBCMwcRFMOdXeVk+3V0xVTITtT8Ka/4Etz0Jny+DXnvt3cMHniuf17bABUi6ACVVBbApE6v1ev37/4nRHvtS/d1v+arJwjQ1lwtW2aiZQ5l+plbZXnWW6oXerbTcGtgqm6kR79c9AXRvs9jjOoEoiEREREREZH4IBlwvnNXLhvEZ6kxn+vGoXv13ezJObWkt2BQB4rQNeeynOT17aQTiwnaWTHM6cGuGMmTWcOmsi5RV19lzjQFs+BSIQm2QnsD+WZ7r9YKbNnqdkuu25T2KvnXLcYD6YCVfbc6Wpp8O01xW/RyYF7ZttMNO+xd5v32IDmo5t/rgoh8pA7x477VoxzHIOlDfYUKa8wZ8aoaze3hY9boJI5dDfaX9wUSK0KVlxkqV05UquvZhf3ULm8Fei9Ic8A0Kb/lBnwHO5KpSBVSluqHTLsYH3S35fpiCk8cOZXEhTFNgUPF94f3/j88iQFMTIoUl1EDJdNq03EX+Hd8n3Giy8r76DIiKjItlmKzjSXfZxpAFqT+4f96QnmeEHj27kx49vJpnxil56hfssnwj9lgXONsgcwHtmktD8kp1GynHgjf8Xzvp4fp4xNjzqftU+jk2CqgXDtx7zsn6Zv3+Cku7yT2A6ipdzQ4NPNtyQrYLJnQAN1LvNbg9A9SIbBImIiIiIyLhWHgny9tOm8vbTprKrM8F9Lzfz2+XNrNs19KD0qazDs83wbHMSnt2N6+xibi2cNNHh5Mkx5kyooq66mvrqWmoqawmH8hd5GWNIZT3iqSzxdJZE2ivxDgGgHqgnGHKoqwpQ5vbhZLpsMJPutOc6Xibf4izHce35XqgSgpX524a50Dh/8Ft5WehqzgczuaCmbTN07oC+0uPqHDyTH6tmBNIE6XRr6A7UkAjXkorU48Xq8WK1mGgtJlaDW1ZHrKqB8ppGqusaqaqaiBs4wGolL1s6oOmvMMn4ywxRlTJk5Uqu3VhByHM0DBnUuMWBT+4xQ4Q6bjj/2D2AcXekiIIYOSRO50rqsutwWiuGb0HT/4ISQU3J4MYZwTIuUBjulLhcwXjYJNcbfH/Qc8auzylYd+Ft0bzCbSzc1oL7w77+QNcpInIQEq02wMiVsrthO6i8X/6eznr85oUdfPOvGwb1Ri4nzpdDd/P2wBNHZ1sDYbjmB7Do2vw8LwsdL0OfX6FToo1aSW7Aju0SbYRqbHVMstWGMpke2485V+YOtr1YqNJeQVYxyz4uJb4LOlbkt6Vi1qF8YhERERERGYMmVUf5yIWz+ciFs1nb0sVvlzfzu+XN7BliPJkczzisb4P1bXDP2ji2Rdbu/ufdgtMYY0r+irVf4aBLfXmYSdVRTppSy+Km6SyeFGZubYZgpssPZzptEJAbc6bQUAFNsAxqpttp1gWD3zgdp2fvVtp2vkbPnq0k922FrmaivTupTO2mPrOXGINbWx8uITI0eK00eK22i1bv/l+TMS4dlNPtVNLtVtDrVtHt+I+poDdQSTpYTjZUSTZUSSpYTsKtIOGWE3fLIRQlFg4QCwWIhgMEBpyHRkPh/ueiQRd32PNUU/o3Ss/ehlxDLAixoCEWNFRHHepjUB01uJSoYCmqVBlY2VLYesx//kBaj+1P7RIon3b41nccURAjhyYQI+vEbNllwC3xH5UBhpovwxtRsFMY4jil5/XfukMvU7hc/3sNeFxqmf2+bgT3ofRzCqNERs7LQGI39G6xlTBg96GyaVC1EAJhPM/whxU7uf3BDWzdN3h8lUXOZr4XvoOZzq7S7xEph8Y5UFZjy8WDUehqgc6d0LUL+toPbJurJsM1d8LMggN+LwP7nrNXdTku1JycP9jz0jZQSXfbq4kC/v+HgmWl24QFojZ8yvVfzq0jm7DPjaS1WLIN2l60B7Xl06F6wYF9RhERERERGXcWTq5i4eQqvnD5Albt7OSx9Xt5bMNeXtrWjneAScqBLl9KKuPR0pmgpTPB8m0d/fMrIkHOmV3PhfObuHDeEqZWOraVWa4Ncy6UMdkhAhqHuBdlU1eUbd0hmntcmrtgR1eW5s4Uze1xuhK5Ko7p/lTIUEUvTc4+JjgdTHDamUAHE512Jji523Ya6SDsHKmR54sFHY86uqmjG/yfKw9E2gToJkaPidFNGT3E6DL2ttu/bTNldBOj28ToI0ovUeImQi9R+9hE6CNKkhDFF5OPjOtAbZkN3ppqYjTVVtBUE6OhIkJteZj68jB1/hTNVVwNCmuGaDVWsgVZqYBnQPuyQOSAP4dYCmLkkJi602kN7MFMfD2ESvyQZXJJ7FBVKAMrVIZIiAdVsfhpcNH1AyX+g9YfEATy991cqV2p6hpTYjsKt3/gZxm4vBnis5ghbgfcx1CyEWl/CePR+Z/VmLXfMGeYZUb0+sLQ5xDDo4HPDbW9h/p4uOcyGQImYa/+d0KDP9/+Ho/VACx3ENDfAzZDft/J7T+F+1JBtVupQHJQYDlMUDkWvxPj2VAi1QHxFlv5kftvhuPa0KBiDgRjeJ7hLytb+PZDrw5RYm/4UPABbg79gqApUSpdNQlOfjOc9mGomjl05UhXM+x4CppfhF2roLMZeloh4bdGw4EJc2DW+TDvcpj5+uKBGr00tD5jP5MbhPrX2aClY5X9jNlhrrQKRG27sEg9hOshVFF6OTc0sgDGeHZMmJ6N9m8qOtGGQiIiIiIictxwXYeTp9Zw8tQa/u6SuXTG07ywpY3nNrfx7OY2VjV3kjkcSctB6klmeGDNbh5YYytwpteVcfLUahY3VbO4aSo1ZWFwDHhJUskeWto72dHWQ3N7gq3tKTa2G3Z0JTAMX/UzNIcuKugyFaw1M4ZZyqOWnv5wptHpoI4u6p0u6p1u6umkzumm3umigU6izmGs5DhAISdLHT3UOT2HvK6scQrCmShx/LDGD22Kw5soCcJ2MmHi8TCJeJjuXRFeMSGeJUycCAkTJkGIOBGShIiFQ/2hTP9UFqauwgY2tWVh6ivC1JXHqCsLUxUL4ozF3ziOYQpi5MhyXP834RKDHUtpuR+TRxrw9LdVM4NfO9y8g31d/62XfzzSeYOeK7x/AN8N+RsZmpPN0JBdgbMnPLLWgUOuaJjgqejxgSy7v1CooPR2qN6qo2G4SrCDCnZG8Jp+uf8O5AYXTEOmF7J9g/ehUAVEJ9sB5wNRMlmPPyzfwfce2cTGPaUPImMkuLvuPzmr79HB+1coBufdAEs/CBWzSw9gX6iqCU58h536N99Aqgs6t0LZBDsoYynZpA1h0l02KKk5Gfp2QN/24s+ZayfmhmzYmGs3lk1AX7OdwF6tE2nYfzBTSrINOl6BtP+dxSZD7dKxGciJiIiIiMhRUx0LccnCiVyycCIA8VSWNS2drNzRyYrmTtbs7GJ3V4KOeHrEP3kcTtva+tjW1sf/rmgZ4SsO/zlOWdj1A4FIfzBQWxamPGzbecVCAcJBF8d/7xTQ4k9gIJsimO4kktxLNLGXSKoV07sP09tGINFBKNVFNNtDmddLuddDheml0vQQdMZeJ56AY6giThXxI/FVA5AwIRJ9YRJ9YeJ7bJCTJEzcRPoDm62EWW9CpAiRdsK4oSgEI5hABIIRCEYJRWJEo2XEYmXEysoIRcoIRWKEIlHC0RjhSBkTJk6iurLqyHyQY5iCGJGxpuiH2ONMqcCmcP5wYc5Qyx3wuhj6uZLh0UGua+C2HNLjge/jP2ccDAFwgthB1wYuO0JF71N8d1Q5rv0R3gkOHw4NrHYrGRJ6JeaXUPQdj6EKNTdkQ4nIBBsW+GFDW2+K/3lxEz9/Zhvb2ga3IMu5YnIvX/e+RnnnxsFPNs6GK/4PzHiTHcflYDkORKphwjDVJOkeaHveDz4MBCug/aX8v0ekASpnQ7i2dDWLl7H9kJOttqVZqt0GO4XBjBuCUJUdDyZUZYMaJ5hfX7rLVuKk2u0ENvSpWQyxIcIjERERERE5rsXCAU6bUcdpM+qK5meyHh3xNO29qUEVM9FQgLJwgGgoQGTgGCPGg2y8/+K7RLyX9p5e2nrj7OtJ8mprmpV7HFbsgR3dR/dCscZyl6ZKh6ZKj6kVHhPKDXUxqItCfQxqY/Y2GvSADLgpvyV01v4S7UbtxaKBmJ0fiPqDwR/A5zAGvKS9EK9oipPobqOzfS+9nW1k+jrxEr2YRA9OqpdQppdQuodwpodAOk4g00cwEyeYjRPJ9hEo1RlinIg6aaK5AXRG+lV62ATsAD01+1Oc8e6bD/yFxzkFMSIydvSHUKO9IccGk06zJ5jFTL58iNaBQ4Q4QwZNwzzuX1+J54cLjIZ67Dg2PHIKgiQnYNtU9c8/wmHlsCHNfp4rmj8wBBrqNaXWUbRB+e/D9W+D5TasKOjR6nmG517bx38/t437V+4ilR36aqD5Eyv52qKtnPLiF3GSJVqVnXwVXPQFqD0JTAb6dkJyrw05coPeZ+Ng0hCsssFGuAbCdbYCJRd07I+Xge4N0LPZHjwnWyFSlw9CohOgcq6dNxw3mG9LBvY7TLXb7U222vte2n+8b//bBf54MCeOrI2ZiIiIiIhIgWDApaEiQkPFgY6r4dqL7agEIFwNVcAM/9k3GK8/eNjb2cUTG9t4dGMXyzbHaY8f/NWTDoYplQ5Tq1yaqgNMrQrSVBOmqSZCU3WEybVlREPh4ovZvLQ/pfwpUdy1wMuA1wP0MGTnM8ctCGUi9jyy1K0b8c+HnfzyA0TrIJr7oryMDWwycbtdhaGNl7QX7nlJv+U5kE1Dqg9ScUjH7W2qr+B+7nHCn5KQ7oNUwi6TSdrnM8O00z4GBMJDtCmXYSmIERE5XhWNBzOqWzI2jbPqtI17evjt8h38bvlOmjviwy67YFIlf3/eJC7f8W3cp34+eIFwGVx0I5z8Qfu3sfdJSHdAqhsSLbZiZH+lUW4EgmW2eiU6wY6tEp1og5pA1I5U6SVsONL+IiT22moUJwBl0+3ro41QtcC+5mA4bkEwM4/8eDqd9r3SXfbEwGT8A28PgpV+mFRjA6Vg2cG9t4iIiIiIyJHiuPZcJVhG44R63jZhFm87B7KeYd2uLtsibUcHK3d08OreXjLZ/AWQrgMTKgK2qqUKplZ4zK7xmF3rMbsGYiH/IkEy2OSkN/++IxkuJde9wg3ZrgrGAy8LZO2tl/bPwdL2oj4vTX4MZ/+iy8Jp4DjPbnCYsCZcMIXsbbDcTsPxsn4gUxDODHXrjaBqxvNsKJNJ2sAmdz/rQSZjA59MCjJpf5mCZdNx/7mkDXT65/sBT7qvxIWbR5cbOtBgUUBBjIiIyLjV2pPkD6/s5LfLm1mxo3O/y58ytZqbXj+XS2Ibce97O3RsG7xQ7VS49FMwYTF0rbEHxal2iLfYdmyhaludEojYapxQpb0aKt1l24KluyDTba9+yrX36nktv3437LfOGzDoohux1SfhWlv5UrUgX9lyuDiu35ZMvWxFREREROTYE3AdFk2pZtGUat79uukH9mLjDahu8W/NwHnp/MVshbe5cMB4NrQYqvzFDQLBfDVL//vm1p8c8D4F74+h6ILJ/oAGwK+UyY3BmlvODQ4IaPzQxvGDIidsbwPRfKWPG7Gt04JlDBonFg+yKXvbHyZlCrbVvw2m8s8bj+JW6gzxeIirZJ1APtxygmAcG/Z4WRvuZDP+lLa3mZTdxkzav80FQnEyyTjJRJxUMk46GcekE/nAJ2sDISdrp4CXImTsFCaN64d5gVBshH9UUkhBjIiIyDiypzvBsg2t/GllC49t2EvWG74yJRxwedPiSVx35gzOmOjgPPoVeO5OSla0zDodzrwGyuogsccehCVa7EFo5Wx7IFrWBBUnDB9mZFM2kEm22dcn9/itwbpsQIN/gO4E/MqXiVCzyN5G6v0SfBERERERETlqHNcGFCNpL12K8QpCmVJBTe5+tsTkDTE/NxWM1dofzBRU1BSFNgXvcyiD3PZX5+RapBe0CS/VSr1/+cLHjl2GrL9N6YLvwL8t9Riv4L5D8fg5Ax47AwMcx+ZQrgMhp3+W3bZqgk4dQSdIeVH792D+s7hB+iuPCj8nrv06y2ZwakUT6bEyfvA4oiBGDtovfvkztu9qJZPsI57oprGmgvqqShprymmoriASjkLAT5cDITvlyhJz/RxFRGRY6azH8m0dPLp+D49t2MvqnV0jet3cCRW88/RpvP20qdTFgvDyz+E3t0BfibFRghFY8nqYcw6UT/Wv9PHsQWL5DHvgVXECVMwq2YN3kEAYAg0QbYDqefn52RRke+3BWyBq14s58IEZRUREREREZGxxXHsuSPjwr7s/qMmNuZoLZ7z8/YHPe1l7TptN2Gqa3O3A+4MqffzuDbn12weAX3GC8fOd3FiwFFQDDRg313Hy4Ux/i7UAg8IbNzQ4zMlV9RSON1v0+dMFQc5QQVYmv42HS9NVEDwB0un9LytFFMTIQTt/49eZntliH6w98NebQBjHDQ0d1gSCfmhj52fdEGkCZAmRcQKkCeL1/0cJwLEtMl2XgOsSdB3CAUMwl5Zn0/lelFk/gS7sOemW6EMZCPkljCG7PUX3/ef6lyl1P2TX2/+5/Mf994d6Xan39F8rIsc0Ywxb9/Xx9Gv7WLZhL0+82kp3cgQ9aIGGighvOWUK15zaxKIpVfa/jq89Ag/9K+x8qfSL6qfA6W+ExpOhbDJEJtrWYuku23osXAu1SyBUcegfLuCXfIuIiIiIiIiMVFELsiPMmOKWYwMrbwa2TDOF83LVLUON4WLyt8YUzx/4uNRtf8Dj/4ZJid8yB463U/i5oCDM8bBBVkGYRWHAZfJVRV46H+4c7hbixxEFMXLwsqlDermT9fsVjjBADfjT8c3JBzZuENyCUkHXL5F0A/t5HCzokVlQhng4Xjvk4yHWN9T7Fr7HoGUGvM+gZf3vRWSc8DzDq3t6eG7zPp7d3MZzm9vY0z1EL90SoiGXNy6axNuWNnHenAaCAdceML36ICy7DXY8X/qFbgAWngkLzoW6U6F6oW0T1rnKtiRzXKiaDxWzVa0iIiIiIiIixwfHOfTKnpJt2rL7adlWOG+Y9myD3yy/zCErGGPHAQgVPM79BqfxYQ6Wghg5KJms/x8U/TZ3lJl84i7DGxTauAOColyodLAh0ID1DRsqDRV47e+9/VBpRO9duKy/jqxHWXI3dG6HUGTw5x60DgVYR0Mm67F6ZxfPbW7j2c1tvLC1jY6+A9unKyJBzp1Tz6UnTuLykyZREfH/d753A6z7A6y6F3avGnoFk2bByRdB07kw6WII10HnWujxXxOqtOGMBrUXEREREREROTBHok3bUO3HvOHG1hm4bMH4M6agGgbPrqe/Qqagoqe/UsYPevRb8EFTECMHxQDljdPp6szgZdK4GBzjETQZAmQJO4cjhRU5BCYL2ewhV26NZyHgUoA1I32FMyAQKuhdOiiQGhgmDZg/1HL983MD3jmlAy2ATML++2USkEkVP86mIJspbjWYu/Wy/hUsQ7T5K2wX6AZLtB0MDniusHXggOf71xUsngL55zuTsLU9yWttSdbuibNudx/daYcsLhkCTCRAvRPA/tczQMa4ZAiSwSVLwG/JGGDepBounlfDhSdUsWRShFCmF9pWw0v3wb6NsOVJaF0//D9xeRWcegWccCFMuNCOB5Pugj2P21uw48BULcz/O4iIiIiIiIjI6OpvOxY68u9lCluXZSkaoyegipiDpSBGDkoo4FJ/00Nkdj7EC08/zOmnn04wYP+culPwWqdhZ1eWXV0Zdnd77OrO0NqTYV9Plp5khoDJEiRLmAxBsoScDCE7+os/2ftBx96G/Z8lQ/3LZoi5WUJOFod8GOsZyHj5Uj0PlzT2B84MAdIm2H8/QwAHg4vBxfMn038bwCPo2O3MTSEyBPAIOVmCZAji+c/ZbQuQ9Z/z7zPg9U6WiJMh7HiEHPvZXWMnkdFn/KsjOK4DrMOtGjjZn94K4AKRg1hRB/CcPx2oWDksuhhOfBPUnWyDFseFrg3Q/ao9mHLDdiyY2MSDeAMREREREREROSY4jr1QlgBHJfg5TiiIkUNiqhbS6W7B1JwMAReMR6XxWFCfZYEpLGnL9iennpelO5FlXzxLe1+GvpRHPG2nRNpgCsrfXAdqolAfg9qovV8Wgkhg6CELjIGUB/E0dCRgXxzaE7C3D15rd3i1HTa2wY7usVVLVxnK0hjJ0BjzKA9kyWQzZNJZ0tksXfEsmaxXFOoE8OzkeP718l7BZB8H/YAp6GSJuB71UUNdDOoiUBsx1EQNVSFDOGAI4RFyPRxj3yuTyZLNZkmlM6TS/m0mSzrjkclkyGTt866x7+f67xd2PSJu/jZ3P+waQv62OsYvefQKUnWv8NafPH9QMBE5OGWVcPJlcOJVdkC92pMhXGurX9pfhlSnXS42CWpOhsDBJEQiIiIiIiIiIjIcBTFyaCKNJNwGKJsOoZElpC72CvHq4RYyJUrf+oOdXHlcYZmcsbc4ODhEHIcIDjWOy0wcv3SvcMAph76U4bV9cTbu6WNja5ytbXHae1Ps603R1pumrS9NOnv0QoDudIDudIDXeg7whSPdxCyQBroPcP2HWTRomFIBTZUwtRKaqgxNlTCl0qGhzKEs5BALOcSCDsGA438+Y8udciGdMXieRzJtSKQ9EuksfSlDZzxLVyJDVzxLb9IPjtIe6UwWz/Orj/BwjIfneWSyWTIZGzzlnnONDa8CZAvue7hkbaWUyeI6frjkeERdG2DZx9n8/IBH1M0SDdjn+sMzx76H4+XDyf4QKhc+9ffpNP5jU7BcickbeF8VVse1aDlMng0zT4eZ50G0DirnQ2yy/dvoXAM9r9m/KzcENYuhrGm0t1pERERERERE5JilIEYOTd82yr0W+6NeKFIQeOT6FroF4UfB1B+OlJhXtNyRUxaCk8qrOWl66eeNMfQkM7T1pmjrTdGXKv5xO531iKeyxNP+lMr2P+5LZenoy4U6KfZ0J9nbnTyin2e8SGQcXuuA1zpycwZWJhn2ny452PLI8SkcMNTHsNVJUagIQywIsRBEA7a4zIaLue/B+I/Jz/OfT3uQyEBfGuJZh6yfVTl+INPR2U04VkYqC+mMHcupP2jCI+ZmKQtmiQWylLmZ/qDINR4BJ2vDJDdLmZsm4HhksoZ01pDOAsZv52e8/vZ+AT/ocrFhWcYzZLMGz5gBwVa+FWCpxwApgqQIkSJEmiApgqT9KeVHWxkCpAmS8IL0eSF6s/a+iyHgeLbF4YAWgUGyfttBr6itoH3OI+jk5nn97QhzrQgDTjbfhrC/8iy/zqJlyS8b9r/LiGvvBx0b/vVXhh2sSBlU1ENFNZRXwoSZMOUUW+ESroHKuRBrsv8djrdAxyrIJuxrY5NsCBOIHvz7i4iIiIiIiIjIfimIkUPi9G6hwtuO07XGDmJ92FY8ILwZFO4UzM+/aMDrff0/aJsS9yl+XFAx4+BS6ThU4jKjzIGyXKjkDAiTSt0GgbDfU9HO60waNrWm2Nia7J9e3ZtgR0dqxEUtrgOTqyJMqIpQXx6mrjxMbVmYSDD3vpDOGnZ3JWnuiNPcEaelM0HWO3qVPbJ/qaxDSw+0DFv9dLha51XAgVZZHStG6c8+GsiyqLaPxXU9LK7r5eS6XqZXxm3ANpT+aiZTosKpoDrKDUAgAG7Q/jc3GLLtxIJVEKqylS1l06Bsin0MkGyDrvWQbLWPg2VQfZLGghEREREREREROUoUxMghMdFJxJ0GTKwJgoHidkmFLcMGzuu/n5s/cMUGyB5TLZaqgVPL7cSM/Px4Gnb22HFs9sWhLW4rHHIVErEgVEdsK69JFRB040B8/2/oVxRljcPuXpfmbofmbmjugh3d0NxtaO42tPUZ4hn7noUiQYgFHSrCDvVlDnUxl7oyl/qYS22ZS32ZS03UJRTM/brskDXQEfdo6zPsi3vs7fVo7szQ3JVlV3eGTIl/apHxKhp0md0QZU5DlLmNYebUh5lTH2RmbZAgGfr/G+ZlwWT89nMZ/797GX9+1i5XtIxXvGx/G0ZjQ143AoEwuFGIToBIHQQr7BSqyG/gwADGcaFyDlTMsYGOiIiIiIiIiIgcFQpi5NBUzqMrsBFql454jJiSisKZgeFNqeDGlAhxBl7+bshXFTj5apai+wOfGzj+zHC3B7JswWuKKnI8YhGYXT7g+dzyRfOGem6o79R+NwFgSrmdzpg09OKesWGMZ2z4M+zV+wch68HuXmwY5E87cuGQPyUyB18F4jqG2qht91UbhZoolIcgGoSyoM0JC9ceDtjxamLBA/+8xkA8k5sc4mkn/zgNXSkbqLXFbbiWOnbyxONCOOBS51eclZqaamLMmVBBU00M1z1clUuHgTGQ6oD4LkjshnSXne84tkqmcq6thhERERERERERkaNKQYyMDY4DToDxPO7HqDHFwU6psKdke7YB4ZALlJUMiwaOU1Lq8YBWbyXmBzBMqTZMMYYzhlhHKuMRT3vE04Z42vNbqhWPiZK77zjGhiwhiAUgEjQ2TyvVcm7Q42HmF23XiP4BCl5XWjoLfRlIpO1tRyIf0rQnoC/tkMjkw50RvzU2QMqFSWUhQ7AgUPKMx67m7cw/YRrlYZdoANyC542BZNYGcPE0JLLF7+2ZXNBktzvr+d93EGIhQ2g/4VUkmN+2aLC4Y+DhFg7YwC33Xu6Q2+biOhALOXYKOoSDDo7jlghrs0ACnCT58a78yXOgbUCwWzLsLWxZONTzQ72GghaM/vNF+5Znx3vJxu2U7oJswVhUjlsQwMQO0zctIiIiIiIiIiIHSkGMyHjX/yMujPcgK+xP1aO9IYUGViTZmcU/iBcuV+JxyBiqgeqDCoMOPghLZ1Ise6yZC153AqFg8NDec8jXlQjKSi3fv8zAdTDCdQycd7BK9Mc7llrmuUGINEJsEkQm2BZmIiIiIiIiIiIyqhTEiIgMpyjoGmfSaXrcTVC14NBaB441RWGMKTG/VMAD/YnLkK0CSwVlhpKtAvd3v79t4hAVacPeH2Y7i6poXAhEIFBmK14CZRCuyVfTiIiIiIiIiIjImKAgRkRExpeiHmdOybsiIiIiIiIiIiJjhS6bFREREREREREREREROUIUxIiIiIiIiIiIiIiIiBwhCmJERERERERERERERESOEAUxIiIiIiIiIiIiIiIiR4iCGBERERERERERERERkSNEQYyIiIiIiIiIiIiIiMgRoiBGRERERERERERERETkCDmugpjvf//7zJo1i2g0ymmnncbjjz8+2pskIiIiIiIiIiIiIiLHsOMmiPnVr37FJz/5SW6++WaWL1/O+eefzxVXXMG2bdtGe9NEREREREREREREROQYddwEMbfffjs33HADH/7wh1m4cCHf+ta3mDZtGj/4wQ9Ge9NEREREREREREREROQYFRztDTgaUqkUL774Il/4wheK5l922WU89dRTJV+TTCZJJpP9j7u6ugBIp9Ok0+kjt7HjTO670HciMvZo/xQZH7Sviowf2l9FxiftuyLjh/ZXkfFB+2reSL8DxxhjjvC2jLqdO3fS1NTEk08+yTnnnNM//9Zbb+WnP/0p69evH/SaW265hX/5l38ZNP+//uu/KCsrO6LbKyIiIiIiIiIiIiIiY1tfXx/XXXcdnZ2dVFVVDbnccVERk+M4TtFjY8ygeTlf/OIX+fSnP93/uKuri2nTpnHZZZcN+4Ueb9LpNA8++CCXXnopoVBotDdHRApo/xQZH7Sviowf2l9FxiftuyLjh/ZXkfFB+2perpPW/hwXQUxDQwOBQIBdu3YVzd+zZw8TJ04s+ZpIJEIkEhk0PxQKHfd/XKXoexEZu7R/iowP2ldFxg/tryLjk/ZdkfFD+6vI+KB9lRF/fvcIb8eYEA6HOe2003jwwQeL5j/44INFrcpEREREREREREREREQOp+OiIgbg05/+NO9///s5/fTTOfvss7nzzjvZtm0bH/3oR0d700RERERERERERERE5Bh13AQx73rXu9i3bx9f/vKXaWlp4aSTTuJPf/oTM2bMGO1NExERERERERERERGRY9RxE8QA3Hjjjdx4442jvRkiIiIiIiIiIiIiInKcOC7GiBERERERERERERERERkNCmJERERERERERERERESOEAUxIiIiIiIiIiIiIiIiR4iCGBERERERERERERERkSNEQYyIiIiIiIiIiIiIiMgRoiBGRERERERERERERETkCFEQIyIiIiIiIiIiIiIicoQER3sDxgtjDABdXV2jvCVjSzqdpq+vj66uLkKh0GhvjogU0P4pMj5oXxUZP7S/ioxP2ndFxg/tryLjg/bVvFxekMsPhqIgZoS6u7sBmDZt2ihviYiIiIiIiIiIiIiIjBXd3d1UV1cP+bxj9hfVCACe57Fz504qKytxHGe0N2fM6OrqYtq0aWzfvp2qqqrR3hwRKaD9U2R80L4qMn5ofxUZn7Tviowf2l9Fxgftq3nGGLq7u5kyZQquO/RIMKqIGSHXdZk6depob8aYVVVVddzvdCJjlfZPkfFB+6rI+KH9VWR80r4rMn5ofxUZH7SvWsNVwuQMHdGIiIiIiIiIiIiIiIjIIVEQIyIiIiIiIiIiIiIicoQoiJFDEolE+NKXvkQkEhntTRGRAbR/iowP2ldFxg/tryLjk/ZdkfFD+6vI+KB99cA5xhgz2hshIiIiIiIiIiIiIiJyLFJFjIiIiIiIiIiIiIiIyBGiIEZEREREREREREREROQIURAjIiIiIiIiIiIiIiJyhCiIEREREREREREREREROUIUxByDvvKVr3DGGWdQWVnJhAkTeOtb38r69euLljHGcMsttzBlyhRisRgXXXQRq1evLlrmzjvv5KKLLqKqqgrHcejo6Ch6fsuWLdxwww3MmjWLWCzG7Nmz+dKXvkQqldrvNq5cuZILL7yQWCxGU1MTX/7ylzHG9D/f0tLCddddx/z583Fdl09+8pMH/X2IjCXHwv75xBNPcO6551JfX08sFmPBggV885vfPPgvRWQMOhb21UcffRTHcQZN69atO/gvRmQMOhb21+uvv77k/rpo0aKD/2JExrhjYd8F+N73vsfChQuJxWLMnz+f//zP/zy4L0RkDBvr+2sikeD6669n8eLFBINB3vrWtw5aRr8zyfHgaO2rAG95y1uYPn060WiUyZMn8/73v5+dO3fudxuP59+EFcQcgx577DE+/vGP88wzz/Dggw+SyWS47LLL6O3t7V/mtttu4/bbb+e73/0uzz//PJMmTeLSSy+lu7u7f5m+vj4uv/xy/vEf/7Hk+6xbtw7P8/jRj37E6tWr+eY3v8kPf/jDIZfP6erq4tJLL2XKlCk8//zz3HHHHXz961/n9ttv718mmUzS2NjIzTffzCmnnHKI34jI2HEs7J/l5eXcdNNNLFu2jLVr1/JP//RP/NM//RN33nnnIX47ImPHsbCv5qxfv56Wlpb+ae7cuQf5rYiMTcfC/vrtb3+7aD/dvn07dXV1vOMd7zjEb0dk7DoW9t0f/OAHfPGLX+SWW25h9erV/Mu//Asf//jH+cMf/nCI347I2DLW99dsNkssFuPv//7vecMb3lByGf3OJMeDo7WvAlx88cX8+te/Zv369dxzzz1s2rSJa6+9dtjtO+5/EzZyzNuzZ48BzGOPPWaMMcbzPDNp0iTz1a9+tX+ZRCJhqqurzQ9/+MNBr3/kkUcMYNrb2/f7XrfddpuZNWvWsMt8//vfN9XV1SaRSPTP+8pXvmKmTJliPM8btPyFF15oPvGJT+z3vUXGo/G+f+a87W1vM+973/v2uw0i49V43FcP5D1FjiXjcX8d6Le//a1xHMds2bJlv9sgcqwYj/vu2WefbT772c8Wve4Tn/iEOffcc/e7DSLj2VjbXwt98IMfNFdfffWwy+h3JjleHM199b777jOO45hUKjXkMsf7b8KqiDkOdHZ2AlBXVwfA5s2b2bVrF5dddln/MpFIhAsvvJCnnnrqkN8r9z5Defrpp7nwwguJRCL98974xjeyc+dOtmzZckjvLzLeHAv75/Lly3nqqae48MILD2n7RMay8byvLl26lMmTJ3PJJZfwyCOPHNK2iYwH43l/zfmP//gP3vCGNzBjxoxD2j6R8WQ87rvJZJJoNFr0ulgsxnPPPUc6nT6kbRQZy8ba/ioipR2tfbWtrY1f/OIXnHPOOYRCoSGXO95/E1YQc4wzxvDpT3+a8847j5NOOgmAXbt2ATBx4sSiZSdOnNj/3MHYtGkTd9xxBx/96EeHXW7Xrl0l37tw20SOB+N9/5w6dSqRSITTTz+dj3/843z4wx8+6O0TGcvG6746efJk7rzzTu655x7uvfde5s+fzyWXXMKyZcsOevtExrrxur8Wamlp4f7779f/V+W4Ml733Te+8Y38+Mc/5sUXX8QYwwsvvMBdd91FOp2mtbX1oLdRZCwbi/uriAx2NPbVz3/+85SXl1NfX8+2bdu47777hl3+eP9NWEHMMe6mm25ixYoV/Pd///eg5xzHKXpsjBk0b6R27tzJ5Zdfzjve8Y6ik8ZFixZRUVFBRUUFV1xxxbDvXWq+yLFsvO+fjz/+OC+88AI//OEP+da3vlXyc4gcC8brvjp//nz+9m//llNPPZWzzz6b73//+1x55ZV8/etfP6jtExkPxuv+WugnP/kJNTU1JQcaFjlWjdd995//+Z+54oorOOusswiFQlx99dVcf/31AAQCgYPaRpGxbqzuryJS7Gjsq//wD//A8uXLeeCBBwgEAnzgAx/o/3+lfhMeLDjaGyBHzt/93d/x+9//nmXLljF16tT++ZMmTQJs0jh58uT++Xv27BmUSo7Ezp07ufjiizn77LMHDdb9pz/9qb8kOxaL9b//wJRzz549wOBEVuRYdSzsn7NmzQJg8eLF7N69m1tuuYX3vOc9B7yNImPZsbCvFjrrrLP4+c9/fsDbJzIeHAv7qzGGu+66i/e///2Ew+ED3jaR8Wg877uxWIy77rqLH/3oR+zevbu/GrWyspKGhoYD3kaRsW6s7q8iUuxo7asNDQ00NDQwb948Fi5cyLRp03jmmWc4++yz9ZtwCaqIOQYZY7jpppu49957efjhh/t/LM2ZNWsWkyZN4sEHH+yfl0qleOyxxzjnnHMO6L2am5u56KKLOPXUU7n77rtx3eI/qRkzZjBnzhzmzJlDU1MTAGeffTbLli0jlUr1L/fAAw8wZcoUZs6ceYCfVmR8OVb3T2MMyWTygLZPZCw7VvfV5cuXFx1wixwLjqX99bHHHmPjxo3ccMMNB7RdIuPRsbTvhkIhpk6dSiAQ4Je//CVXXXXVoPcQGc/G+v4qItbR3FdLvTfQ/9uQfhMuwcgx52Mf+5iprq42jz76qGlpaemf+vr6+pf56le/aqqrq829995rVq5cad7znveYyZMnm66urv5lWlpazPLly82///u/G8AsW7bMLF++3Ozbt88YY0xzc7OZM2eOef3rX2927NhR9F7D6ejoMBMnTjTvec97zMqVK829995rqqqqzNe//vWi5ZYvX26WL19uTjvtNHPdddeZ5cuXm9WrVx/Gb0rk6DsW9s/vfve75ve//73ZsGGD2bBhg7nrrrtMVVWVufnmmw/ztyUyeo6FffWb3/ym+e1vf2s2bNhgVq1aZb7whS8YwNxzzz2H+dsSGV3Hwv6a8773vc+ceeaZh+mbERnbjoV9d/369eZnP/uZ2bBhg3n22WfNu971LlNXV2c2b958eL8skVE21vdXY4xZvXq1Wb58uXnzm99sLrroov7flArpdyY51h2tffXZZ581d9xxh1m+fLnZsmWLefjhh815551nZs+ebRKJxJDbd7z/Jqwg5hgElJzuvvvu/mU8zzNf+tKXzKRJk0wkEjEXXHCBWblyZdF6vvSlLw27nrvvvnvI99qfFStWmPPPP99EIhEzadIkc8sttxjP8/b7Of1dHK8AAAW8SURBVGbMmHGoX4/IqDoW9s/vfOc7ZtGiRaasrMxUVVWZpUuXmu9///smm80elu9IZCw4FvbVr33ta2b27NkmGo2a2tpac95555k//vGPh+X7ERlLjoX91Rh7YhqLxcydd955yN+JyHhwLOy7a9asMUuWLDGxWMxUVVWZq6++2qxbt+6wfD8iY8l42F9nzJix39fpdyY51h2tfXXFihXm4osvNnV1dSYSiZiZM2eaj370o2bHjh373cbj+Tdhxxi/bkhEREREREREREREREQOKzUtFREREREREREREREROUIUxIiIiIiIiIiIiIiIiBwhCmJERERERERERERERESOEAUxIiIiIiIiIiIiIiIiR4iCGBERERERERERERERkSNEQYyIiIiIiIiIiIiIiMgRoiBGRERERERERERERETkCFEQIyIiIiIiIiIiIiIicoQoiBERERERERERERERETlCFMSIiIiIiMhx5/rrr8dxHBzHIRQKMXHiRC699FLuuusuPM8b8Xp+8pOfUFNTc+Q2VERERERExj0FMSIiIiIicly6/PLLaWlpYcuWLdx///1cfPHFfOITn+Cqq64ik8mM9uaJiIiIiMgxQkGMiIiIiIgclyKRCJMmTaKpqYlTTz2Vf/zHf+S+++7j/vvv5yc/+QkAt99+O4sXL6a8vJxp06Zx44030tPTA8Cjjz7Khz70ITo7O/ura2655RYAUqkUn/vc52hqaqK8vJwzzzyTRx99dHQ+qIiIiIiIjCoFMSIiIiIiIr7Xv/71nHLKKdx7770AuK7Ld77zHVatWsVPf/pTHn74YT73uc8BcM455/Ctb32LqqoqWlpaaGlp4bOf/SwAH/rQh3jyySf55S9/yYoVK3jHO97B5Zdfzquvvjpqn01EREREREaHY4wxo70RIiIiIiIiR9P1119PR0cHv/vd7wY99+53v5sVK1awZs2aQc/95je/4WMf+xitra2AHSPmk5/8JB0dHf3LbNq0iblz57Jjxw6mTJnSP/8Nb3gDr3vd67j11lsP++cREREREZGxKzjaGyAiIiIiIjKWGGNwHAeARx55hFtvvZU1a9bQ1dVFJpMhkUjQ29tLeXl5yde/9NJLGGOYN29e0fxkMkl9ff0R334RERERERlbFMSIiIiIiIgUWLt2LbNmzWLr1q286U1v4qMf/Sj/+q//Sl1dHU888QQ33HAD6XR6yNd7nkcgEODFF18kEAgUPVdRUXGkN19ERERERMYYBTEiIiIiIiK+hx9+mJUrV/KpT32KF154gUwmwze+8Q1c1w6v+etf/7po+XA4TDabLZq3dOlSstkse/bs4fzzzz9q2y4iIiIiImOTghgRERERETkuJZNJdu3aRTabZffu3fz5z3/mK1/5CldddRUf+MAHWLlyJZlMhjvuuIM3v/nNPPnkk/zwhz8sWsfMmTPp6enhoYce4pRTTqGsrIx58+bx3ve+lw984AN84xvfYOnSpbS2tvLwww+zePFi3vSmN43SJxYRERERkdHgjvYGiIiIiIiIjIY///nPTJ48mZkzZ3L55ZfzyCOP8J3vfIf77ruPQCDAkiVLuP322/na177GSSedxC9+8Qu+8pWvFK3jnHPO4aMf/Sjvete7aGxs5LbbbgPg7rvv5gMf+ACf+cxnmD9/Pm95y1t49tlnmTZt2mh8VBERERERGUWOMcaM9kaIiIiIiIiIiIiIiIgci1QRIyIiIiIiIiIiIiIicoQoiBERERERERERERERETlCFMSIiIiIiIiIiIiIiIgcIQpiREREREREREREREREjhAFMSIiIiIiIiIiIiIiIkeIghgREREREREREREREZEjREGMiIiIiIiIiIiIiIjIEaIgRkRERERERERERERE5AhRECMiIiIiIiIiIiIiInKEKIgRERERERERERERERE5QhTEiIiIiIiIiIiIiIiIHCH/PyoQVzIysWiRAAAAAElFTkSuQmCC",
+      "text/plain": [
+       "<Figure size 2000x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot for selected year\n",
+    "\n",
+    "selected_year = 2012\n",
+    "\n",
+    "plot_ensemble(\n",
+    "    ensemble_data=ensemble_data,\n",
+    "    plot_start=pd.to_datetime(f\"{selected_year}-01-01\"),\n",
+    "    plot_end=pd.to_datetime(f\"{selected_year}-12-31\")\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d017577d-79da-4a97-9522-81f4c307f3aa",
+   "metadata": {},
+   "source": [
+    "## 6. Lowflow calculation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "dcc14e37-5aea-4b00-ae71-32b68ee03d4a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def lowflow_counter_ensemble(ensemble_data, start_date, end_date):\n",
+    "    \n",
+    "    lowflow_days = []\n",
+    "\n",
+    "    years = list(range(start_date.year, end_date.year + 1))\n",
+    "\n",
+    "    for i in range(len(years)):\n",
+    "    \n",
+    "        year = years[i]\n",
+    "    \n",
+    "        # Define start and end month-day\n",
+    "        year_start = pd.to_datetime(f\"{year}-05-18\")\n",
+    "        year_end = pd.to_datetime(f\"{year}-10-17\")\n",
+    "    \n",
+    "        year_data = ensemble_data[\n",
+    "            (ensemble_data.index >= year_start) &\n",
+    "            (ensemble_data.index <= year_end)\n",
+    "        ]\n",
+    "\n",
+    "        # Set zeros to count from\n",
+    "        observed_lowflow_days = 0\n",
+    "        modelled_lowflow_days = []\n",
+    "        modelmean_lowflow_days = 0\n",
+    "\n",
+    "        # Count observed lowflow days\n",
+    "        for j in range(len(year_data)):\n",
+    "\n",
+    "            observed_q = year_data.iloc[j][\"Observed discharge\"]\n",
+    "\n",
+    "            if observed_q < q_critical:\n",
+    "                observed_lowflow_days += 1\n",
+    "\n",
+    "        # Count model mean lowflow days\n",
+    "        for j in range(len(year_data)):\n",
+    "\n",
+    "            modelmean_q = year_data.iloc[j][\"Mean\"]\n",
+    "\n",
+    "            if modelmean_q < q_critical:\n",
+    "                modelmean_lowflow_days += 1\n",
+    "\n",
+    "        # Count modelled lowflow days\n",
+    "        for j in range(len(par_ensemble)):\n",
+    "\n",
+    "            set_lowflow_days = 0\n",
+    "\n",
+    "            for k in range(len(year_data)):\n",
+    "\n",
+    "                set_q = year_data.iloc[k][f\"Set {j+1}\"]\n",
+    "\n",
+    "                if set_q < q_critical:\n",
+    "                    set_lowflow_days += 1\n",
+    "\n",
+    "            modelled_lowflow_days.append(set_lowflow_days)\n",
+    "\n",
+    "        setavg_lowflow_days = np.mean(modelled_lowflow_days)\n",
+    "        \n",
+    "        lowflow_days.append({\n",
+    "            \"year\": year,\n",
+    "            \"observed\": observed_lowflow_days,\n",
+    "            \"modelmean\": modelmean_lowflow_days,\n",
+    "            \"set_1\": modelled_lowflow_days[0],\n",
+    "            \"set_2\": modelled_lowflow_days[1],\n",
+    "            \"set_3\": modelled_lowflow_days[2],\n",
+    "            \"set_4\": modelled_lowflow_days[3],\n",
+    "            \"set_5\": modelled_lowflow_days[4],\n",
+    "            \"set_avg\": np.round(setavg_lowflow_days)\n",
+    "        })\n",
+    "\n",
+    "    lowflow_days = pd.DataFrame(lowflow_days)\n",
+    "\n",
+    "    return lowflow_days"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "7460b853-5619-44c9-ac89-3c6fc099bde6",
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "NameError",
+     "evalue": "name 'ensemble_data' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[2], line 2\u001b[0m\n\u001b[1;32m      1\u001b[0m lowflow_counter_ensemble(\n\u001b[0;32m----> 2\u001b[0m     ensemble_data\u001b[38;5;241m=\u001b[39m\u001b[43mensemble_data\u001b[49m,\n\u001b[1;32m      3\u001b[0m     start_date\u001b[38;5;241m=\u001b[39mevaluation_start,\n\u001b[1;32m      4\u001b[0m     end_date\u001b[38;5;241m=\u001b[39mvalidation_end_date\n\u001b[1;32m      5\u001b[0m )\n",
+      "\u001b[0;31mNameError\u001b[0m: name 'ensemble_data' is not defined"
+     ]
+    }
+   ],
+   "source": [
+    "lowflow_counter_ensemble(\n",
+    "    ensemble_data=ensemble_data,\n",
+    "    start_date=evaluation_start,\n",
+    "    end_date=validation_end_date\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "02d8a545-838c-4da5-9935-22f34d49f4ee",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4dd215db-3fbe-44fa-9c07-26f13e64d255",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7a08ca3c-9f66-4797-b4eb-7943785f512d",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "efc2756c-f047-4ae1-a491-583e46612a75",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/Workyard/Step5_QDM_Experiment3.ipynb b/Workyard/Step5_QDM_Experiment3.ipynb
new file mode 100644
index 00000000..5723493c
--- /dev/null
+++ b/Workyard/Step5_QDM_Experiment3.ipynb
@@ -0,0 +1,2057 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "6dc674b5-d3fe-40e6-80e3-ed1f78221490",
+   "metadata": {},
+   "source": [
+    "# 2. Quantile delta mapping of CMIP6 forcing\n",
+    "\n",
+    "This notebook applies **monthly quantile delta mapping (QDM)** to historical CMIP6 forcing.\n",
+    "\n",
+    "For now, the target period is also historical CMIP6 **1995–2014**. This is useful for testing whether bias-corrected CMIP6 forcing improves the HBV discharge output.\n",
+    "\n",
+    "Inputs:\n",
+    "\n",
+    "- ERA5 forcing 1995–2014 = reference\n",
+    "- CMIP6 historical forcing 1995–2014 = historical model\n",
+    "- CMIP6 historical forcing 1995–2014 = target model for testing\n",
+    "\n",
+    "Output:\n",
+    "\n",
+    "- Corrected CMIP6 forcing folder: `CMIP6-QDM-historical-1995-2014`"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7c03cdaf-99e5-46d8-ba07-2843f1c07fc2",
+   "metadata": {},
+   "source": [
+    "## 1. Startup"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 108,
+   "id": "43b2105a-222a-467b-90ae-1733bd907045",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# pip install python-cmethods"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 109,
+   "id": "1fb67b48-9bc2-4150-b724-c1d26291db0b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\", category=UserWarning)\n",
+    "\n",
+    "import numpy as np\n",
+    "from pathlib import Path\n",
+    "import pandas as pd\n",
+    "import xarray as xr\n",
+    "import yaml\n",
+    "from cmethods import adjust\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "\n",
+    "from rich import print"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 110,
+   "id": "6a8d479a-11bd-453b-b1fd-5a454f46770c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import ewatercycle\n",
+    "import ewatercycle.forcing"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 111,
+   "id": "05206528-dd3b-45ef-a538-be2dcba07085",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "start_year = 1995\n",
+    "end_year = 2014\n",
+    "\n",
+    "Scenario = \"historical\""
+   ]
+  },
+  {
+   "cell_type": "raw",
+   "id": "56e6454a-306c-44fa-86c5-2ef6afcc389c",
+   "metadata": {},
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 112,
+   "id": "eeedfb4b-e1f4-4fbb-b5ba-de342f59bddf",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">ERA5-1995-2014</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/\u001b[0m\u001b[95mERA5-1995-2014\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6-1995-2014</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/\u001b[0m\u001b[95mCMIP6-1995-2014\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6-QDM-1995-2014</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/\u001b[0m\u001b[95mCMIP6-QDM-1995-2014\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Defining paths\n",
+    "\n",
+    "forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / f\"ERA5-{start_year}-{end_year}\"\n",
+    "\n",
+    "forcing_path_CMIP = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / \"historical\" / f\"CMIP6-{start_year}-{end_year}\"\n",
+    "\n",
+    "forcing_path_CMIP_target = forcing_path_CMIP\n",
+    "forcing_path_CMIP_hist = forcing_path_CMIP\n",
+    "\n",
+    "forcing_path_QDM = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / \"historical\" / f\"CMIP6-QDM-{start_year}-{end_year}\"\n",
+    "forcing_path_QDM.mkdir(parents=True, exist_ok=True)\n",
+    "\n",
+    "shape_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "\n",
+    "var_names = [\"pr\", \"tas\", \"rsds\", \"evspsblpot\"]\n",
+    "\n",
+    "print(forcing_path_ERA5)\n",
+    "print(forcing_path_CMIP_hist)\n",
+    "print(forcing_path_QDM)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "540c0e8c-52ab-4f28-be4e-ccccb35d7d31",
+   "metadata": {},
+   "source": [
+    "## 2. Helper functions for loading forcing variables"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 113,
+   "id": "2f524b1b-ee16-49d9-ba70-0bd783d18895",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def find_file_for_var(folder, var_name):\n",
+    "\n",
+    "    folder = Path(folder)\n",
+    "\n",
+    "    # First try exact final variable pattern, then broader search\n",
+    "    matches = list(folder.glob(f\"*_{var_name}.nc\"))\n",
+    "\n",
+    "    if len(matches) == 0:\n",
+    "        matches = list(folder.glob(f\"*{var_name}*.nc\"))\n",
+    "\n",
+    "    if len(matches) == 0:\n",
+    "        raise FileNotFoundError(f\"No NetCDF file found for {var_name} in {folder}\")\n",
+    "\n",
+    "    if len(matches) > 1:\n",
+    "        print(f\"Multiple files found for {var_name}, using first:\")\n",
+    "        for match in matches:\n",
+    "            print(\" -\", match.name)\n",
+    "\n",
+    "    return matches[0]\n",
+    "\n",
+    "\n",
+    "def get_dataarray(dataset, preferred_name):\n",
+    "\n",
+    "    if preferred_name in dataset.data_vars:\n",
+    "        return dataset[preferred_name]\n",
+    "\n",
+    "    first_var = list(dataset.data_vars)[0]\n",
+    "    print(f\"Variable {preferred_name} not found, using {first_var} instead.\")\n",
+    "    return dataset[first_var]\n",
+    "\n",
+    "\n",
+    "def load_variable(folder, var_name):\n",
+    "\n",
+    "    file_path = find_file_for_var(folder, var_name)\n",
+    "\n",
+    "    ds = xr.open_dataset(file_path)\n",
+    "    da = get_dataarray(ds, var_name).squeeze()\n",
+    "    \n",
+    "        # Normalize daily time coordinate: removes 11:30 / 12:00 differences\n",
+    "    da = da.assign_coords(time=pd.to_datetime(da.time.values).normalize())\n",
+    "\n",
+    "    if \"time\" not in da.dims:\n",
+    "        raise ValueError(f\"{file_path} does not contain a time dimension.\")\n",
+    "\n",
+    "    return da, ds, file_path\n",
+    "\n",
+    "\n",
+    "def check_variable_shapes():\n",
+    "\n",
+    "    for var_name in var_names:\n",
+    "\n",
+    "        era5_da, _, era5_file = load_variable(forcing_path_ERA5, var_name)\n",
+    "        cmip_da, _, cmip_file = load_variable(forcing_path_CMIP_hist, var_name)\n",
+    "\n",
+    "        print(\"\\n\", var_name)\n",
+    "        print(\"ERA5:\", era5_da.shape, era5_da.dims, era5_file.name)\n",
+    "        print(\"CMIP:\", cmip_da.shape, cmip_da.dims, cmip_file.name)\n",
+    "        print(\"ERA5 units:\", era5_da.attrs.get(\"units\"))\n",
+    "        print(\"CMIP units:\", cmip_da.attrs.get(\"units\"))\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 114,
+   "id": "919cf33d-dd3f-4762-a858-414a00a798f6",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
+       " pr\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\n",
+       " pr\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">ERA5:\n",
+       "<span style=\"font-weight: bold\">(</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7305</span>,<span style=\"font-weight: bold\">)</span>\n",
+       "<span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'time'</span>,<span style=\"font-weight: bold\">)</span>\n",
+       "combined_ERA5_1995_2014_pr.nc\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "ERA5:\n",
+       "\u001b[1m(\u001b[0m\u001b[1;36m7305\u001b[0m,\u001b[1m)\u001b[0m\n",
+       "\u001b[1m(\u001b[0m\u001b[32m'time'\u001b[0m,\u001b[1m)\u001b[0m\n",
+       "combined_ERA5_1995_2014_pr.nc\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">CMIP:\n",
+       "<span style=\"font-weight: bold\">(</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7305</span>,<span style=\"font-weight: bold\">)</span>\n",
+       "<span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'time'</span>,<span style=\"font-weight: bold\">)</span>\n",
+       "combined_CMIP6_1995_2014_pr.nc\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "CMIP:\n",
+       "\u001b[1m(\u001b[0m\u001b[1;36m7305\u001b[0m,\u001b[1m)\u001b[0m\n",
+       "\u001b[1m(\u001b[0m\u001b[32m'time'\u001b[0m,\u001b[1m)\u001b[0m\n",
+       "combined_CMIP6_1995_2014_pr.nc\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">ERA5 units: kg m-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span> s-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "ERA5 units: kg m-\u001b[1;36m2\u001b[0m s-\u001b[1;36m1\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">CMIP units: kg m-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span> s-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "CMIP units: kg m-\u001b[1;36m2\u001b[0m s-\u001b[1;36m1\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
+       " tas\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\n",
+       " tas\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">ERA5:\n",
+       "<span style=\"font-weight: bold\">(</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7305</span>,<span style=\"font-weight: bold\">)</span>\n",
+       "<span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'time'</span>,<span style=\"font-weight: bold\">)</span>\n",
+       "combined_ERA5_1995_2014_tas.nc\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "ERA5:\n",
+       "\u001b[1m(\u001b[0m\u001b[1;36m7305\u001b[0m,\u001b[1m)\u001b[0m\n",
+       "\u001b[1m(\u001b[0m\u001b[32m'time'\u001b[0m,\u001b[1m)\u001b[0m\n",
+       "combined_ERA5_1995_2014_tas.nc\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">CMIP:\n",
+       "<span style=\"font-weight: bold\">(</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7305</span>,<span style=\"font-weight: bold\">)</span>\n",
+       "<span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'time'</span>,<span style=\"font-weight: bold\">)</span>\n",
+       "combined_CMIP6_1995_2014_tas.nc\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "CMIP:\n",
+       "\u001b[1m(\u001b[0m\u001b[1;36m7305\u001b[0m,\u001b[1m)\u001b[0m\n",
+       "\u001b[1m(\u001b[0m\u001b[32m'time'\u001b[0m,\u001b[1m)\u001b[0m\n",
+       "combined_CMIP6_1995_2014_tas.nc\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">ERA5 units: K\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "ERA5 units: K\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">CMIP units: K\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "CMIP units: K\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
+       " rsds\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\n",
+       " rsds\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">ERA5:\n",
+       "<span style=\"font-weight: bold\">(</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7305</span>,<span style=\"font-weight: bold\">)</span>\n",
+       "<span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'time'</span>,<span style=\"font-weight: bold\">)</span>\n",
+       "combined_ERA5_1995_2014_rsds.nc\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "ERA5:\n",
+       "\u001b[1m(\u001b[0m\u001b[1;36m7305\u001b[0m,\u001b[1m)\u001b[0m\n",
+       "\u001b[1m(\u001b[0m\u001b[32m'time'\u001b[0m,\u001b[1m)\u001b[0m\n",
+       "combined_ERA5_1995_2014_rsds.nc\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">CMIP:\n",
+       "<span style=\"font-weight: bold\">(</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7305</span>,<span style=\"font-weight: bold\">)</span>\n",
+       "<span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'time'</span>,<span style=\"font-weight: bold\">)</span>\n",
+       "combined_CMIP6_1995_2014_rsds.nc\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "CMIP:\n",
+       "\u001b[1m(\u001b[0m\u001b[1;36m7305\u001b[0m,\u001b[1m)\u001b[0m\n",
+       "\u001b[1m(\u001b[0m\u001b[32m'time'\u001b[0m,\u001b[1m)\u001b[0m\n",
+       "combined_CMIP6_1995_2014_rsds.nc\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">ERA5 units: W m-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "ERA5 units: W m-\u001b[1;36m2\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">CMIP units: W m-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "CMIP units: W m-\u001b[1;36m2\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
+       " evspsblpot\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\n",
+       " evspsblpot\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">ERA5:\n",
+       "<span style=\"font-weight: bold\">(</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7305</span>,<span style=\"font-weight: bold\">)</span>\n",
+       "<span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'time'</span>,<span style=\"font-weight: bold\">)</span>\n",
+       "combined_ERA5_1995_2014_evspsblpot.nc\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "ERA5:\n",
+       "\u001b[1m(\u001b[0m\u001b[1;36m7305\u001b[0m,\u001b[1m)\u001b[0m\n",
+       "\u001b[1m(\u001b[0m\u001b[32m'time'\u001b[0m,\u001b[1m)\u001b[0m\n",
+       "combined_ERA5_1995_2014_evspsblpot.nc\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">CMIP:\n",
+       "<span style=\"font-weight: bold\">(</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7305</span>,<span style=\"font-weight: bold\">)</span>\n",
+       "<span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'time'</span>,<span style=\"font-weight: bold\">)</span>\n",
+       "combined_CMIP6_1995_2014_evspsblpot.nc\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "CMIP:\n",
+       "\u001b[1m(\u001b[0m\u001b[1;36m7305\u001b[0m,\u001b[1m)\u001b[0m\n",
+       "\u001b[1m(\u001b[0m\u001b[32m'time'\u001b[0m,\u001b[1m)\u001b[0m\n",
+       "combined_CMIP6_1995_2014_evspsblpot.nc\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">ERA5 units: kg m-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span> s-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "ERA5 units: kg m-\u001b[1;36m2\u001b[0m s-\u001b[1;36m1\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">CMIP units: kg m-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span> s-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "CMIP units: kg m-\u001b[1;36m2\u001b[0m s-\u001b[1;36m1\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "check_variable_shapes()\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "63b2e743-44cb-4605-b3fc-644720ec28e1",
+   "metadata": {},
+   "source": [
+    "## 4. Bias-correction settings\n",
+    "\n",
+    "For this version, the correction is done with `cmethods.adjust(method=\"quantile_delta_mapping\")`.\n",
+    "\n",
+    "- `tas`: additive correction (`kind=\"+\"`)\n",
+    "- `pr`, `rsds`, `evspsblpot`: multiplicative correction (`kind=\"*\"`)\n",
+    "- Negative corrected values are removed for non-temperature variables.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 115,
+   "id": "a04adad4-5518-4f51-a95e-2d9bb71cf397",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "method = \"quantile_delta_mapping\"\n",
+    "n_quantiles = 250\n",
+    "\n",
+    "def correction_kind(var_name):\n",
+    "    if var_name == \"tas\":\n",
+    "        return \"+\"\n",
+    "    else:\n",
+    "        return \"*\"\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 116,
+   "id": "cb6bfd86-81fe-4257-861f-a3a20c7a2627",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def monthly_qdm(obs_da, simh_da, simp_da, var_name):\n",
+    "\n",
+    "    corrected_months = []\n",
+    "\n",
+    "    kind = correction_kind(var_name)\n",
+    "\n",
+    "    for month in range(1, 13):\n",
+    "\n",
+    "        obs_m = obs_da.sel(time=obs_da.time.dt.month == month)\n",
+    "        simh_m = simh_da.sel(time=simh_da.time.dt.month == month)\n",
+    "        simp_m = simp_da.sel(time=simp_da.time.dt.month == month)\n",
+    "\n",
+    "        # Save original target time\n",
+    "        simp_time = simp_m.time\n",
+    "\n",
+    "        # Reset time index so cmethods does not require exact same dates\n",
+    "        obs_m = obs_m.assign_coords(time=np.arange(len(obs_m.time)))\n",
+    "        simh_m = simh_m.assign_coords(time=np.arange(len(simh_m.time)))\n",
+    "        simp_m = simp_m.assign_coords(time=np.arange(len(simp_m.time)))\n",
+    "\n",
+    "        corrected_m = adjust(\n",
+    "            method=method,\n",
+    "            obs=obs_m.astype(\"float64\"),\n",
+    "            simh=simh_m.astype(\"float64\"),\n",
+    "            simp=simp_m.astype(\"float64\"),\n",
+    "            n_quantiles=n_quantiles,\n",
+    "            kind=kind,\n",
+    "        )\n",
+    "\n",
+    "        if isinstance(corrected_m, xr.Dataset):\n",
+    "            corrected_m = corrected_m[var_name]\n",
+    "\n",
+    "        # Put original dates back\n",
+    "        corrected_m = corrected_m.assign_coords(time=simp_time)\n",
+    "\n",
+    "        corrected_months.append(corrected_m)\n",
+    "\n",
+    "    corrected_da = xr.concat(corrected_months, dim=\"time\")\n",
+    "    corrected_da = corrected_da.sortby(\"time\")\n",
+    "\n",
+    "    corrected_da.name = var_name\n",
+    "\n",
+    "    if var_name != \"tas\":\n",
+    "        corrected_da = corrected_da.clip(min=0)\n",
+    "\n",
+    "    return corrected_da.astype(\"float32\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 117,
+   "id": "d4e73e16-e4e6-4202-9901-2fe271f40390",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def derive_monthly_pr_thresholds(reference_pr, corrected_pr, dry_threshold_mm_day=0.1):\n",
+    "\n",
+    "    thresholds = {}\n",
+    "\n",
+    "    ref = to_series(reference_pr) * 86400\n",
+    "    qdm = to_series(corrected_pr) * 86400\n",
+    "\n",
+    "    for month in range(1, 13):\n",
+    "\n",
+    "        ref_m = ref[ref.index.month == month]\n",
+    "        qdm_m = qdm[qdm.index.month == month]\n",
+    "\n",
+    "        # Fraction of dry days in ERA5\n",
+    "        dry_fraction = (ref_m < dry_threshold_mm_day).mean()\n",
+    "\n",
+    "        # QDM precipitation threshold giving same dry-day fraction\n",
+    "        qdm_threshold_mm_day = qdm_m.quantile(dry_fraction)\n",
+    "\n",
+    "        # Convert back to kg m-2 s-1\n",
+    "        thresholds[month] = qdm_threshold_mm_day / 86400\n",
+    "\n",
+    "    return thresholds\n",
+    "\n",
+    "\n",
+    "def apply_monthly_pr_thresholds(pr_da, thresholds):\n",
+    "\n",
+    "    pr_new = pr_da.copy()\n",
+    "\n",
+    "    for month in range(1, 13):\n",
+    "\n",
+    "        month_mask = pr_new.time.dt.month == month\n",
+    "        threshold = thresholds[month]\n",
+    "\n",
+    "        pr_new = pr_new.where(\n",
+    "            ~(month_mask & (pr_new < threshold)),\n",
+    "            0\n",
+    "        )\n",
+    "\n",
+    "    return pr_new"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c21c46dd-a15a-4619-b917-00971ad9c576",
+   "metadata": {},
+   "source": [
+    "## 5. Apply bias correction and save NetCDF files"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 118,
+   "id": "78bc5fe6-bc7e-4d1a-b9d2-5d654f49e9c4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def bias_correct_variable(var_name):\n",
+    "\n",
+    "    print(f\"\\nCorrecting {var_name}\")\n",
+    "\n",
+    "    # ERA5 = observed/reference historical period\n",
+    "    obs_da, obs_ds, obs_file = load_variable(forcing_path_ERA5, var_name)\n",
+    "\n",
+    "    # CMIP historical = model historical/control period\n",
+    "    simh_da, simh_ds, simh_file = load_variable(forcing_path_CMIP, var_name)\n",
+    "\n",
+    "    # CMIP target = data to correct\n",
+    "    simp_da, simp_ds, simp_file = load_variable(forcing_path_CMIP_target, var_name)\n",
+    "\n",
+    "    # cmethods works with xarray DataArray objects with a time dimension\n",
+    "    corrected_da = monthly_qdm(\n",
+    "        obs_da=obs_da,\n",
+    "        simh_da=simh_da,\n",
+    "        simp_da=simp_da,\n",
+    "        var_name=var_name\n",
+    "    )\n",
+    "\n",
+    "    # Additional dry-day correction for precipitation\n",
+    "    if var_name == \"pr\":\n",
+    "\n",
+    "        thresholds = derive_monthly_pr_thresholds(\n",
+    "            reference_pr=obs_da,\n",
+    "            corrected_pr=corrected_da,\n",
+    "            dry_threshold_mm_day=0.1\n",
+    "        )\n",
+    "    \n",
+    "        corrected_da = apply_monthly_pr_thresholds(\n",
+    "            pr_da=corrected_da,\n",
+    "            thresholds=thresholds\n",
+    "        )\n",
+    "\n",
+    "    # Sometimes cmethods returns a Dataset instead of DataArray\n",
+    "    if isinstance(corrected_da, xr.Dataset):\n",
+    "        corrected_da = corrected_da[var_name]\n",
+    "\n",
+    "    # Sometimes the output name is lost\n",
+    "    corrected_da.name = var_name\n",
+    "\n",
+    "    # Keep physically realistic bounds for non-temperature variables\n",
+    "    if var_name != \"tas\":\n",
+    "        corrected_da = corrected_da.where(corrected_da >= 0, 0)\n",
+    "\n",
+    "    # Copy metadata from the target data\n",
+    "    corrected_da.attrs = simp_da.attrs\n",
+    "\n",
+    "    # Cast back to original target dtype if possible\n",
+    "    try:\n",
+    "        corrected_da = corrected_da.astype(simp_da.dtype)\n",
+    "    except Exception:\n",
+    "        pass\n",
+    "\n",
+    "    corrected_ds = corrected_da.to_dataset(name=var_name)\n",
+    "    corrected_ds.attrs = simp_ds.attrs\n",
+    "\n",
+    "    output_file = (\n",
+    "        forcing_path_QDM\n",
+    "        / f\"combined_CMIP6_QDM_{Scenario}_{start_year}_{end_year}_{var_name}.nc\"\n",
+    "    )\n",
+    "\n",
+    "    corrected_ds.to_netcdf(output_file)\n",
+    "\n",
+    "    print(\"Saved:\", output_file)\n",
+    "\n",
+    "    return corrected_da\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 119,
+   "id": "acfa59d9-760d-4e9c-ba62-50632b8fd36f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
+       "Correcting pr\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\n",
+       "Correcting pr\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Saved: \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-QDM-1995-2014/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">combined_CMIP6_QDM_historical_1995_2</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">014_pr.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Saved: \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-QDM-1995-2014/\u001b[0m\u001b[95mcombined_CMIP6_QDM_historical_1995_2\u001b[0m\n",
+       "\u001b[95m014_pr.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
+       "Correcting tas\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\n",
+       "Correcting tas\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Saved: \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-QDM-1995-2014/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">combined_CMIP6_QDM_historical_1995_2</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">014_tas.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Saved: \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-QDM-1995-2014/\u001b[0m\u001b[95mcombined_CMIP6_QDM_historical_1995_2\u001b[0m\n",
+       "\u001b[95m014_tas.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
+       "Correcting rsds\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\n",
+       "Correcting rsds\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Saved: \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-QDM-1995-2014/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">combined_CMIP6_QDM_historical_1995_2</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">014_rsds.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Saved: \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-QDM-1995-2014/\u001b[0m\u001b[95mcombined_CMIP6_QDM_historical_1995_2\u001b[0m\n",
+       "\u001b[95m014_rsds.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
+       "Correcting evspsblpot\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\n",
+       "Correcting evspsblpot\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Saved: \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-QDM-1995-2014/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">combined_CMIP6_QDM_historical_1995_2</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">014_evspsblpot.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Saved: \n",
+       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-QDM-1995-2014/\u001b[0m\u001b[95mcombined_CMIP6_QDM_historical_1995_2\u001b[0m\n",
+       "\u001b[95m014_evspsblpot.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "corrected_data = {}\n",
+    "\n",
+    "for i in range(len(var_names)):\n",
+    "\n",
+    "    var_name = var_names[i]\n",
+    "    corrected_data[var_name] = bias_correct_variable(var_name)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "01e5d39b-b448-49e1-9a58-a13415143e1c",
+   "metadata": {},
+   "source": [
+    "## 6. Create eWaterCycle forcing YAML"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 120,
+   "id": "329c7270-3e6e-4894-bb4d-cbf349782651",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Saved: <span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-QDM-1995-2014/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">ewatercycle_forcing.yaml</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Saved: \u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-QDM-1995-2014/\u001b[0m\u001b[95mewatercycle_forcing.yaml\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">{</span>\n",
+       "    <span style=\"color: #008000; text-decoration-color: #008000\">'start_time'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'1995-01-01T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #008000; text-decoration-color: #008000\">'end_time'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'2014-12-31T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #008000; text-decoration-color: #008000\">'shape'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'</span>,\n",
+       "    <span style=\"color: #008000; text-decoration-color: #008000\">'filenames'</span>: <span style=\"font-weight: bold\">{</span>\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'pr'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_QDM_historical_1995_2014_pr.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'tas'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_QDM_historical_1995_2014_tas.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'rsds'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_QDM_historical_1995_2014_rsds.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'evspsblpot'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_QDM_historical_1995_2014_evspsblpot.nc'</span>\n",
+       "    <span style=\"font-weight: bold\">}</span>\n",
+       "<span style=\"font-weight: bold\">}</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1m{\u001b[0m\n",
+       "    \u001b[32m'start_time'\u001b[0m: \u001b[32m'1995-01-01T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[32m'end_time'\u001b[0m: \u001b[32m'2014-12-31T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[32m'shape'\u001b[0m: \u001b[32m'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'\u001b[0m,\n",
+       "    \u001b[32m'filenames'\u001b[0m: \u001b[1m{\u001b[0m\n",
+       "        \u001b[32m'pr'\u001b[0m: \u001b[32m'combined_CMIP6_QDM_historical_1995_2014_pr.nc'\u001b[0m,\n",
+       "        \u001b[32m'tas'\u001b[0m: \u001b[32m'combined_CMIP6_QDM_historical_1995_2014_tas.nc'\u001b[0m,\n",
+       "        \u001b[32m'rsds'\u001b[0m: \u001b[32m'combined_CMIP6_QDM_historical_1995_2014_rsds.nc'\u001b[0m,\n",
+       "        \u001b[32m'evspsblpot'\u001b[0m: \u001b[32m'combined_CMIP6_QDM_historical_1995_2014_evspsblpot.nc'\u001b[0m\n",
+       "    \u001b[1m}\u001b[0m\n",
+       "\u001b[1m}\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "forcing_yaml = {\n",
+    "    \"start_time\": f\"{start_year}-01-01T00:00:00Z\",\n",
+    "    \"end_time\": f\"{end_year}-12-31T00:00:00Z\",\n",
+    "    \"shape\": str(shape_file),\n",
+    "    \"filenames\": {\n",
+    "        \"pr\": f\"combined_CMIP6_QDM_{Scenario}_{start_year}_{end_year}_pr.nc\",\n",
+    "        \"tas\": f\"combined_CMIP6_QDM_{Scenario}_{start_year}_{end_year}_tas.nc\",\n",
+    "        \"rsds\": f\"combined_CMIP6_QDM_{Scenario}_{start_year}_{end_year}_rsds.nc\",\n",
+    "        \"evspsblpot\": f\"combined_CMIP6_QDM_{Scenario}_{start_year}_{end_year}_evspsblpot.nc\",\n",
+    "    }\n",
+    "}\n",
+    "\n",
+    "yaml_file_path = forcing_path_QDM / \"ewatercycle_forcing.yaml\"\n",
+    "\n",
+    "with open(yaml_file_path, \"w\") as yaml_file:\n",
+    "    yaml.dump(forcing_yaml, yaml_file, default_flow_style=False)\n",
+    "\n",
+    "print(\"Saved:\", yaml_file_path)\n",
+    "print(forcing_yaml)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9a79f375-f050-4652-92d8-6d85827d2212",
+   "metadata": {},
+   "source": [
+    "## 7. Test-load corrected forcing"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 121,
+   "id": "c2b3c4b9-9565-483e-9f00-a1a617d1254f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">LumpedMakkinkForcing</span><span style=\"font-weight: bold\">(</span>\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">start_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'1995-01-01T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">end_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'2014-12-31T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">directory</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-QDM-1995-2014'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">shape</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">filenames</span>=<span style=\"font-weight: bold\">{</span>\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'evspsblpot'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_QDM_historical_1995_2014_evspsblpot.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'pr'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_QDM_historical_1995_2014_pr.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'rsds'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_QDM_historical_1995_2014_rsds.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'tas'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_QDM_historical_1995_2014_tas.nc'</span>\n",
+       "    <span style=\"font-weight: bold\">}</span>\n",
+       "<span style=\"font-weight: bold\">)</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1;35mLumpedMakkinkForcing\u001b[0m\u001b[1m(\u001b[0m\n",
+       "    \u001b[33mstart_time\u001b[0m=\u001b[32m'1995-01-01T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mend_time\u001b[0m=\u001b[32m'2014-12-31T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mdirectory\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/historical/CMIP6-QDM-1995-2014'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mshape\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mfilenames\u001b[0m=\u001b[1m{\u001b[0m\n",
+       "        \u001b[32m'evspsblpot'\u001b[0m: \u001b[32m'combined_CMIP6_QDM_historical_1995_2014_evspsblpot.nc'\u001b[0m,\n",
+       "        \u001b[32m'pr'\u001b[0m: \u001b[32m'combined_CMIP6_QDM_historical_1995_2014_pr.nc'\u001b[0m,\n",
+       "        \u001b[32m'rsds'\u001b[0m: \u001b[32m'combined_CMIP6_QDM_historical_1995_2014_rsds.nc'\u001b[0m,\n",
+       "        \u001b[32m'tas'\u001b[0m: \u001b[32m'combined_CMIP6_QDM_historical_1995_2014_tas.nc'\u001b[0m\n",
+       "    \u001b[1m}\u001b[0m\n",
+       "\u001b[1m)\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "CMIP_QDM_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=forcing_path_QDM)\n",
+    "\n",
+    "print(CMIP_QDM_forcing)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "929d8298-a9db-4e02-bef7-3de7e8025d0c",
+   "metadata": {},
+   "source": [
+    "## 8. Diagnostics"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 122,
+   "id": "86a68f82-bae7-4407-ba9f-a9e2e5f0c2b6",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ERA5</th>\n",
+       "      <th>CMIP</th>\n",
+       "      <th>QDM</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>259.132385</td>\n",
+       "      <td>258.764984</td>\n",
+       "      <td>259.130676</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>262.616638</td>\n",
+       "      <td>260.584747</td>\n",
+       "      <td>262.619354</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>266.683990</td>\n",
+       "      <td>266.945068</td>\n",
+       "      <td>266.679565</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>275.085419</td>\n",
+       "      <td>275.355194</td>\n",
+       "      <td>275.084656</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>281.591614</td>\n",
+       "      <td>283.529388</td>\n",
+       "      <td>281.590942</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>286.239655</td>\n",
+       "      <td>287.728638</td>\n",
+       "      <td>286.238739</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>288.825104</td>\n",
+       "      <td>289.488037</td>\n",
+       "      <td>288.840942</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>287.475311</td>\n",
+       "      <td>287.564758</td>\n",
+       "      <td>287.473358</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>282.689728</td>\n",
+       "      <td>281.650360</td>\n",
+       "      <td>282.674805</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>275.483521</td>\n",
+       "      <td>275.246124</td>\n",
+       "      <td>275.485504</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>266.516418</td>\n",
+       "      <td>267.792389</td>\n",
+       "      <td>266.535553</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>260.348724</td>\n",
+       "      <td>261.863647</td>\n",
+       "      <td>260.350525</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          ERA5        CMIP         QDM\n",
+       "1   259.132385  258.764984  259.130676\n",
+       "2   262.616638  260.584747  262.619354\n",
+       "3   266.683990  266.945068  266.679565\n",
+       "4   275.085419  275.355194  275.084656\n",
+       "5   281.591614  283.529388  281.590942\n",
+       "6   286.239655  287.728638  286.238739\n",
+       "7   288.825104  289.488037  288.840942\n",
+       "8   287.475311  287.564758  287.473358\n",
+       "9   282.689728  281.650360  282.674805\n",
+       "10  275.483521  275.246124  275.485504\n",
+       "11  266.516418  267.792389  266.535553\n",
+       "12  260.348724  261.863647  260.350525"
+      ]
+     },
+     "execution_count": 122,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "def to_series(da):\n",
+    "    return pd.Series(\n",
+    "        data=da.values.squeeze(),\n",
+    "        index=pd.to_datetime(da[\"time\"].values),\n",
+    "        name=da.name,\n",
+    "    )\n",
+    "\n",
+    "\n",
+    "def load_corrected_variable(var_name):\n",
+    "    file_path = (forcing_path_QDM / f\"combined_CMIP6_QDM_{Scenario}_{start_year}_{end_year}_{var_name}.nc\")\n",
+    "    ds = xr.open_dataset(file_path)\n",
+    "    da = get_dataarray(ds, var_name).squeeze()\n",
+    "    return da\n",
+    "\n",
+    "\n",
+    "def monthly_mean_table(var_name, convert_pr_to_mm_day=False):\n",
+    "\n",
+    "    era5_da, _, _ = load_variable(forcing_path_ERA5, var_name)\n",
+    "    cmip_da, _, _ = load_variable(forcing_path_CMIP_hist, var_name)\n",
+    "    qdm_da = load_corrected_variable(var_name)\n",
+    "\n",
+    "    era5 = to_series(era5_da)\n",
+    "    cmip = to_series(cmip_da)\n",
+    "    qdm = to_series(qdm_da)\n",
+    "\n",
+    "    factor = 86400 if convert_pr_to_mm_day else 1\n",
+    "\n",
+    "    table = pd.DataFrame({\n",
+    "        \"ERA5\": era5.groupby(era5.index.month).mean() * factor,\n",
+    "        \"CMIP\": cmip.groupby(cmip.index.month).mean() * factor,\n",
+    "        \"QDM\": qdm.groupby(qdm.index.month).mean() * factor,\n",
+    "    })\n",
+    "\n",
+    "    return table\n",
+    "\n",
+    "\n",
+    "monthly_mean_table(\"tas\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 123,
+   "id": "44041a3b-9453-4212-819e-c6ecf7ab9bdd",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ERA5</th>\n",
+       "      <th>CMIP</th>\n",
+       "      <th>QDM</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.915469</td>\n",
+       "      <td>1.014411</td>\n",
+       "      <td>0.923202</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0.647922</td>\n",
+       "      <td>0.886178</td>\n",
+       "      <td>0.639437</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.931562</td>\n",
+       "      <td>1.102054</td>\n",
+       "      <td>0.928657</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1.377950</td>\n",
+       "      <td>1.504056</td>\n",
+       "      <td>1.376870</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>1.892165</td>\n",
+       "      <td>1.992272</td>\n",
+       "      <td>1.889571</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>3.134658</td>\n",
+       "      <td>3.328967</td>\n",
+       "      <td>3.145954</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>3.462940</td>\n",
+       "      <td>3.765053</td>\n",
+       "      <td>3.486110</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>2.314942</td>\n",
+       "      <td>2.116627</td>\n",
+       "      <td>2.335796</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>1.707162</td>\n",
+       "      <td>1.607128</td>\n",
+       "      <td>1.754936</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>1.148419</td>\n",
+       "      <td>1.267420</td>\n",
+       "      <td>1.151219</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>1.013025</td>\n",
+       "      <td>1.112656</td>\n",
+       "      <td>1.008303</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>0.838748</td>\n",
+       "      <td>0.929316</td>\n",
+       "      <td>0.830903</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        ERA5      CMIP       QDM\n",
+       "1   0.915469  1.014411  0.923202\n",
+       "2   0.647922  0.886178  0.639437\n",
+       "3   0.931562  1.102054  0.928657\n",
+       "4   1.377950  1.504056  1.376870\n",
+       "5   1.892165  1.992272  1.889571\n",
+       "6   3.134658  3.328967  3.145954\n",
+       "7   3.462940  3.765053  3.486110\n",
+       "8   2.314942  2.116627  2.335796\n",
+       "9   1.707162  1.607128  1.754936\n",
+       "10  1.148419  1.267420  1.151219\n",
+       "11  1.013025  1.112656  1.008303\n",
+       "12  0.838748  0.929316  0.830903"
+      ]
+     },
+     "execution_count": 123,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Precipitation monthly means in mm/day\n",
+    "monthly_mean_table(\"pr\", convert_pr_to_mm_day=True)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 124,
+   "id": "ced18668-c114-44c2-ba16-f5f381d4d523",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ERA5</th>\n",
+       "      <th>CMIP</th>\n",
+       "      <th>QDM</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1995</th>\n",
+       "      <td>79</td>\n",
+       "      <td>82</td>\n",
+       "      <td>84</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1996</th>\n",
+       "      <td>51</td>\n",
+       "      <td>79</td>\n",
+       "      <td>87</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1997</th>\n",
+       "      <td>68</td>\n",
+       "      <td>52</td>\n",
+       "      <td>54</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1998</th>\n",
+       "      <td>72</td>\n",
+       "      <td>55</td>\n",
+       "      <td>60</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1999</th>\n",
+       "      <td>66</td>\n",
+       "      <td>60</td>\n",
+       "      <td>65</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2000</th>\n",
+       "      <td>82</td>\n",
+       "      <td>49</td>\n",
+       "      <td>58</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2001</th>\n",
+       "      <td>87</td>\n",
+       "      <td>50</td>\n",
+       "      <td>54</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2002</th>\n",
+       "      <td>71</td>\n",
+       "      <td>76</td>\n",
+       "      <td>84</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2003</th>\n",
+       "      <td>65</td>\n",
+       "      <td>69</td>\n",
+       "      <td>70</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2004</th>\n",
+       "      <td>64</td>\n",
+       "      <td>55</td>\n",
+       "      <td>59</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2005</th>\n",
+       "      <td>77</td>\n",
+       "      <td>44</td>\n",
+       "      <td>54</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006</th>\n",
+       "      <td>66</td>\n",
+       "      <td>73</td>\n",
+       "      <td>76</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2007</th>\n",
+       "      <td>44</td>\n",
+       "      <td>77</td>\n",
+       "      <td>75</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2008</th>\n",
+       "      <td>70</td>\n",
+       "      <td>78</td>\n",
+       "      <td>82</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2009</th>\n",
+       "      <td>69</td>\n",
+       "      <td>61</td>\n",
+       "      <td>65</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2010</th>\n",
+       "      <td>75</td>\n",
+       "      <td>39</td>\n",
+       "      <td>49</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2011</th>\n",
+       "      <td>51</td>\n",
+       "      <td>64</td>\n",
+       "      <td>67</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2012</th>\n",
+       "      <td>67</td>\n",
+       "      <td>106</td>\n",
+       "      <td>113</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2013</th>\n",
+       "      <td>53</td>\n",
+       "      <td>78</td>\n",
+       "      <td>77</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2014</th>\n",
+       "      <td>59</td>\n",
+       "      <td>47</td>\n",
+       "      <td>46</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      ERA5  CMIP  QDM\n",
+       "1995    79    82   84\n",
+       "1996    51    79   87\n",
+       "1997    68    52   54\n",
+       "1998    72    55   60\n",
+       "1999    66    60   65\n",
+       "2000    82    49   58\n",
+       "2001    87    50   54\n",
+       "2002    71    76   84\n",
+       "2003    65    69   70\n",
+       "2004    64    55   59\n",
+       "2005    77    44   54\n",
+       "2006    66    73   76\n",
+       "2007    44    77   75\n",
+       "2008    70    78   82\n",
+       "2009    69    61   65\n",
+       "2010    75    39   49\n",
+       "2011    51    64   67\n",
+       "2012    67   106  113\n",
+       "2013    53    78   77\n",
+       "2014    59    47   46"
+      ]
+     },
+     "execution_count": 124,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Dry-day diagnostic for precipitation\n",
+    "era5_pr = to_series(load_variable(forcing_path_ERA5, \"pr\")[0])\n",
+    "cmip_pr = to_series(load_variable(forcing_path_CMIP_hist, \"pr\")[0])\n",
+    "qdm_pr = to_series(load_corrected_variable(\"pr\"))\n",
+    "\n",
+    "dry_days = pd.DataFrame({\n",
+    "    \"ERA5\": ((era5_pr * 86400) < 0.1).groupby(era5_pr.index.year).sum(),\n",
+    "    \"CMIP\": ((cmip_pr * 86400) < 0.1).groupby(cmip_pr.index.year).sum(),\n",
+    "    \"QDM\": ((qdm_pr * 86400) < 0.1).groupby(qdm_pr.index.year).sum(),\n",
+    "})\n",
+    "\n",
+    "dry_days\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 125,
+   "id": "4bdfafd5-39a5-41a0-9647-eeb44ce8b894",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def plot_variable_timeseries(var_name, factor=1, start=None, end=None):\n",
+    "\n",
+    "    era5_da, _, _ = load_variable(forcing_path_ERA5, var_name)\n",
+    "    cmip_da, _, _ = load_variable(forcing_path_CMIP_hist, var_name)\n",
+    "    qdm_da = load_corrected_variable(var_name)\n",
+    "\n",
+    "    era5 = to_series(era5_da) * factor\n",
+    "    cmip = to_series(cmip_da) * factor\n",
+    "    qdm = to_series(qdm_da) * factor\n",
+    "\n",
+    "    if var_name == \"tas\":\n",
+    "        era5 = era5 - 273.15\n",
+    "        cmip = cmip - 273.15\n",
+    "        qdm = qdm - 273.15\n",
+    "\n",
+    "    # Select period\n",
+    "    if start is not None:\n",
+    "        era5 = era5[era5.index >= pd.to_datetime(start)]\n",
+    "        cmip = cmip[cmip.index >= pd.to_datetime(start)]\n",
+    "        qdm = qdm[qdm.index >= pd.to_datetime(start)]\n",
+    "\n",
+    "    if end is not None:\n",
+    "        era5 = era5[era5.index <= pd.to_datetime(end)]\n",
+    "        cmip = cmip[cmip.index <= pd.to_datetime(end)]\n",
+    "        qdm = qdm[qdm.index <= pd.to_datetime(end)]\n",
+    "\n",
+    "    plt.figure(figsize=(12, 5))\n",
+    "    plt.plot(era5.index, era5, label=\"ERA5\")\n",
+    "    plt.plot(cmip.index, cmip, label=\"CMIP\")\n",
+    "    plt.plot(qdm.index, qdm, label=\"QDM\")\n",
+    "    plt.title(var_name)\n",
+    "    plt.grid(True)\n",
+    "    plt.legend()\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 126,
+   "id": "3709b859-a101-4db2-8184-371c7600357a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1200x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_variable_timeseries(\n",
+    "    \"pr\",\n",
+    "    factor=86400,\n",
+    "    start=\"2012-05-01\",\n",
+    "    end=\"2012-08-31\"\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 127,
+   "id": "de19c038-8b47-473e-b6c0-cc9bdd9fe404",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def compare_stats(var_name, factor=1):\n",
+    "\n",
+    "    era5_da, _, _ = load_variable(forcing_path_ERA5, var_name)\n",
+    "    cmip_da, _, _ = load_variable(forcing_path_CMIP_hist, var_name)\n",
+    "    qdm_da = load_corrected_variable(var_name)\n",
+    "\n",
+    "    era5 = to_series(era5_da) * factor\n",
+    "    cmip = to_series(cmip_da) * factor\n",
+    "    qdm = to_series(qdm_da) * factor\n",
+    "\n",
+    "    stats = pd.DataFrame({\n",
+    "        \"ERA5\": era5.describe(),\n",
+    "        \"CMIP\": cmip.describe(),\n",
+    "        \"QDM\": qdm.describe()\n",
+    "    })\n",
+    "\n",
+    "    return stats"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 128,
+   "id": "d835a397-46ec-4aa5-bc27-edf79756ec00",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ERA5</th>\n",
+       "      <th>CMIP</th>\n",
+       "      <th>QDM</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>7.305000e+03</td>\n",
+       "      <td>7.305000e+03</td>\n",
+       "      <td>7305.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>1.620587e+00</td>\n",
+       "      <td>1.723259e+00</td>\n",
+       "      <td>1.627803</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>2.418762e+00</td>\n",
+       "      <td>2.675928e+00</td>\n",
+       "      <td>2.508479</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>-1.665334e-13</td>\n",
+       "      <td>1.174351e-13</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>1.879302e-01</td>\n",
+       "      <td>1.873050e-01</td>\n",
+       "      <td>0.188148</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>7.593266e-01</td>\n",
+       "      <td>7.643056e-01</td>\n",
+       "      <td>0.762794</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>2.028109e+00</td>\n",
+       "      <td>2.214770e+00</td>\n",
+       "      <td>2.038388</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>2.548246e+01</td>\n",
+       "      <td>4.300434e+01</td>\n",
+       "      <td>43.004338</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               ERA5          CMIP          QDM\n",
+       "count  7.305000e+03  7.305000e+03  7305.000000\n",
+       "mean   1.620587e+00  1.723259e+00     1.627803\n",
+       "std    2.418762e+00  2.675928e+00     2.508479\n",
+       "min   -1.665334e-13  1.174351e-13     0.000000\n",
+       "25%    1.879302e-01  1.873050e-01     0.188148\n",
+       "50%    7.593266e-01  7.643056e-01     0.762794\n",
+       "75%    2.028109e+00  2.214770e+00     2.038388\n",
+       "max    2.548246e+01  4.300434e+01    43.004338"
+      ]
+     },
+     "execution_count": 128,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "compare_stats(\"pr\", factor=86400)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 129,
+   "id": "782e5335-f61a-4f59-842b-ca1cec86cdba",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def plot_variable_cdf_season(var_name, start_month=5, end_month=10):\n",
+    "\n",
+    "    era5_da, _, _ = load_variable(forcing_path_ERA5, var_name)\n",
+    "    cmip_da, _, _ = load_variable(forcing_path_CMIP, var_name)\n",
+    "    qdm_da = load_corrected_variable(var_name)\n",
+    "\n",
+    "    era5 = to_series(era5_da)\n",
+    "    cmip = to_series(cmip_da)\n",
+    "    qdm = to_series(qdm_da)\n",
+    "\n",
+    "    era5 = era5[era5.index.month.isin(range(start_month, end_month + 1))]\n",
+    "    cmip = cmip[cmip.index.month.isin(range(start_month, end_month + 1))]\n",
+    "    qdm = qdm[qdm.index.month.isin(range(start_month, end_month + 1))]\n",
+    "\n",
+    "    if var_name == \"tas\":\n",
+    "        era5 = era5 - 273.15\n",
+    "        cmip = cmip - 273.15\n",
+    "        qdm = qdm - 273.15\n",
+    "        xlabel = \"Temperature (°C)\"\n",
+    "\n",
+    "    elif var_name in [\"pr\", \"evspsblpot\"]:\n",
+    "        era5 = era5 * 86400\n",
+    "        cmip = cmip * 86400\n",
+    "        qdm = qdm * 86400\n",
+    "        xlabel = f\"{var_name} (mm/day)\"\n",
+    "\n",
+    "    elif var_name == \"rsds\":\n",
+    "        xlabel = \"Shortwave radiation (W/m²)\"\n",
+    "    else:\n",
+    "        xlabel = var_name\n",
+    "\n",
+    "    plt.figure(figsize=(8, 5))\n",
+    "\n",
+    "    # for name, data in {\"ERA5\": era5, \"CMIP\": cmip, \"QDM\": qdm}.items():\n",
+    "    for name, data in {\"CMIP\": cmip, \"QDM\": qdm, \"ERA5\": era5}.items():\n",
+    "\n",
+    "        values = np.sort(data.dropna().values)\n",
+    "        cdf = np.arange(1, len(values) + 1) / len(values)\n",
+    "\n",
+    "        plt.plot(values, cdf, label=name)\n",
+    "\n",
+    "    plt.xlabel(xlabel)\n",
+    "    plt.ylabel(\"Cumulative probability\")\n",
+    "    plt.title(f\"CDF of {var_name}, months {start_month}-{end_month}\")\n",
+    "    plt.grid(True)\n",
+    "    plt.legend()\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 130,
+   "id": "98ceeada-3d72-4b77-8259-43ed40148b24",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 800x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_variable_cdf_season(\"tas\", start_month=5, end_month=10)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 131,
+   "id": "cc847fac-bb44-41f3-ad17-ffeabc3a2baf",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def forcing_summary_for_year(year):\n",
+    "\n",
+    "    variables = [\"pr\", \"tas\", \"rsds\", \"evspsblpot\"]\n",
+    "\n",
+    "    rows = []\n",
+    "\n",
+    "    for var_name in variables:\n",
+    "\n",
+    "        era5_da, _, _ = load_variable(forcing_path_ERA5, var_name)\n",
+    "        cmip_da, _, _ = load_variable(forcing_path_CMIP_hist, var_name)\n",
+    "        qdm_da = load_corrected_variable(var_name)\n",
+    "\n",
+    "        era5 = to_series(era5_da)\n",
+    "        cmip = to_series(cmip_da)\n",
+    "        qdm = to_series(qdm_da)\n",
+    "\n",
+    "        # Select year\n",
+    "        era5_y = era5[era5.index.year == year]\n",
+    "        cmip_y = cmip[cmip.index.year == year]\n",
+    "        qdm_y = qdm[qdm.index.year == year]\n",
+    "\n",
+    "        # Unit conversion\n",
+    "        if var_name in [\"pr\", \"evspsblpot\"]:\n",
+    "            era5_y = era5_y * 86400\n",
+    "            cmip_y = cmip_y * 86400\n",
+    "            qdm_y = qdm_y * 86400\n",
+    "            statistic = \"sum mm/year\"\n",
+    "\n",
+    "            rows.append({\n",
+    "                \"variable\": var_name,\n",
+    "                \"statistic\": statistic,\n",
+    "                \"ERA5\": era5_y.sum(),\n",
+    "                \"CMIP\": cmip_y.sum(),\n",
+    "                \"QDM\": qdm_y.sum()\n",
+    "            })\n",
+    "\n",
+    "        elif var_name == \"tas\":\n",
+    "            era5_y = era5_y - 273.15\n",
+    "            cmip_y = cmip_y - 273.15\n",
+    "            qdm_y = qdm_y - 273.15\n",
+    "            statistic = \"mean °C\"\n",
+    "\n",
+    "            rows.append({\n",
+    "                \"variable\": var_name,\n",
+    "                \"statistic\": statistic,\n",
+    "                \"ERA5\": era5_y.mean(),\n",
+    "                \"CMIP\": cmip_y.mean(),\n",
+    "                \"QDM\": qdm_y.mean()\n",
+    "            })\n",
+    "\n",
+    "        elif var_name == \"rsds\":\n",
+    "            statistic = \"mean W/m²\"\n",
+    "\n",
+    "            rows.append({\n",
+    "                \"variable\": var_name,\n",
+    "                \"statistic\": statistic,\n",
+    "                \"ERA5\": era5_y.mean(),\n",
+    "                \"CMIP\": cmip_y.mean(),\n",
+    "                \"QDM\": qdm_y.mean()\n",
+    "            })\n",
+    "\n",
+    "    return pd.DataFrame(rows)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 177,
+   "id": "7dfaa301-cb46-4891-9c6c-3af8c65964d4",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>variable</th>\n",
+       "      <th>statistic</th>\n",
+       "      <th>ERA5</th>\n",
+       "      <th>CMIP</th>\n",
+       "      <th>QDM</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>pr</td>\n",
+       "      <td>sum mm/year</td>\n",
+       "      <td>597.364853</td>\n",
+       "      <td>607.485192</td>\n",
+       "      <td>583.696337</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>tas</td>\n",
+       "      <td>mean °C</td>\n",
+       "      <td>1.458792</td>\n",
+       "      <td>1.674291</td>\n",
+       "      <td>1.379042</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>rsds</td>\n",
+       "      <td>mean W/m²</td>\n",
+       "      <td>143.142471</td>\n",
+       "      <td>138.311142</td>\n",
+       "      <td>141.201462</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>evspsblpot</td>\n",
+       "      <td>sum mm/year</td>\n",
+       "      <td>605.052421</td>\n",
+       "      <td>603.664704</td>\n",
+       "      <td>603.770733</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     variable    statistic        ERA5        CMIP         QDM\n",
+       "0          pr  sum mm/year  597.364853  607.485192  583.696337\n",
+       "1         tas      mean °C    1.458792    1.674291    1.379042\n",
+       "2        rsds    mean W/m²  143.142471  138.311142  141.201462\n",
+       "3  evspsblpot  sum mm/year  605.052421  603.664704  603.770733"
+      ]
+     },
+     "execution_count": 177,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "forcing_summary_for_year(2011)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6fb3f02a-ee69-4d00-8d57-02a3eb2ea11c",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d64afca3-3f52-430e-8f01-2f9799499a3a",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/Workyard/Step6_CMIP_History.ipynb b/Workyard/Step6_CMIP_History.ipynb
new file mode 100644
index 00000000..1a6d2f60
--- /dev/null
+++ b/Workyard/Step6_CMIP_History.ipynb
@@ -0,0 +1,1756 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "9ca8fd44-6292-4af4-9100-d3256fccd960",
+   "metadata": {},
+   "source": [
+    "# Ensemble validation\n",
+    "\n",
+    "The 5 parameter sets calculkated in Calibration_HBV.ipynb will be used for a validation period, in which the log NSE will be calculated, a mean will be calculated and total low flow days during the navigation season.\n",
+    "\n",
+    "The structure of this notebook is as follows:\n",
+    "\n",
+    "### 1. Startup\n",
+    "### 2. Model Setup\n",
+    "### 3. Running model\n",
+    "### 4. LNSE calculation\n",
+    "### 5. Display results\n",
+    "### 6. Lowflow calculation\n",
+    "### 7. Cumsum distribution"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "bdb4216e-a341-4c2b-a410-35170773a9a7",
+   "metadata": {},
+   "source": [
+    "## 1. Startup"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 120,
+   "id": "d197b8f0-0f85-4a41-b2fb-1b2a8cf3f9f5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General python\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\", category=UserWarning)\n",
+    "\n",
+    "import numpy as np\n",
+    "from pathlib import Path\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import xarray as xr\n",
+    "from scipy.interpolate import interp1d\n",
+    "\n",
+    "# Niceties\n",
+    "from rich import print"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 148,
+   "id": "dd7b7d3f-1489-4723-bb51-f3cffcb7a85c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General eWaterCycle\n",
+    "import ewatercycle\n",
+    "import ewatercycle.models\n",
+    "import ewatercycle.forcing"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 122,
+   "id": "1c8aee93-b2d6-4291-89ae-1d29e69268cd",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Defining things\n",
+    "\n",
+    "basin_size = 132572\n",
+    "q_critical = 500"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 123,
+   "id": "d7dce039-d1f3-44a0-b646-98c32ecffb28",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Choosing time period\n",
+    "\n",
+    "# experiment_start_date = \"2019-01-01T00:00:00Z\"\n",
+    "# experiment_end_date = \"2024-12-31T00:00:00Z\"\n",
+    "\n",
+    "start_year = 2025\n",
+    "end_year = 2050\n",
+    "\n",
+    "validation_start = f\"{start_year}-01-01T00:00:00Z\"\n",
+    "validation_end = f\"{end_year}-12-31T00:00:00Z\"\n",
+    "\n",
+    "# Choose CMIP Scenario: \n",
+    "Scenario = \"ssp126\"    # Options: historical, ssp119, ssp126, ssp245, ssp,370, ssp585"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 124,
+   "id": "d330bf37-7419-4287-81af-3d09e4c7a30e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create pathways for ERA 5 forcings\n",
+    "\n",
+    "forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / f\"ERA5-{start_year}-{end_year}\"\n",
+    "\n",
+    "forcing_path_CMIP = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / Scenario / f\"CMIP6-{start_year}-{end_year}\"\n",
+    "\n",
+    "forcing_path_QDM = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / Scenario / f\"CMIP6-QDM-{start_year}-{end_year}\"\n",
+    "\n",
+    "discharge_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
+    "\n",
+    "shape_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "\n",
+    "hbv_config = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"hbv_config\"\n",
+    "hbv_config.mkdir(parents=True, exist_ok=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 125,
+   "id": "15ea4507-f559-4ef8-9756-60b8502064d7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# # Create pathways for ERA 5 forcings\n",
+    "\n",
+    "# forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"forcings\" / \"ERA5-1999-2019\"\n",
+    "\n",
+    "# discharge_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
+    "\n",
+    "# shape_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "\n",
+    "# hbv_config = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"hbv_config\"\n",
+    "# hbv_config.mkdir(parents=True, exist_ok=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 126,
+   "id": "46ea8b1e-fb73-49ed-855c-4d95cd932748",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load CSV discharge 07DA001\n",
+    "\n",
+    "q_obs = pd.read_csv(discharge_file, skiprows=1)\n",
+    "q_obs = q_obs[[\"Date\", \"Value\"]].copy()\n",
+    "q_obs[\"Date\"] = pd.to_datetime(q_obs[\"Date\"])\n",
+    "q_obs = q_obs.rename(columns={\"Value\": \"discharge_m3s\"})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 127,
+   "id": "8bb224ad-d23c-475f-b6af-4a6023a17044",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Define time period\n",
+    "validation_start_date = pd.to_datetime(validation_start.replace(\"Z\", \"\"))\n",
+    "validation_end_date = pd.to_datetime(validation_end.replace(\"Z\", \"\"))\n",
+    "\n",
+    "# Skip 1 year for filling storages\n",
+    "evaluation_start = pd.to_datetime(f\"{validation_start_date.year + 1}-01-01\")\n",
+    "\n",
+    "# Align q_obs to relevant dates\n",
+    "q_obs = q_obs[(q_obs[\"Date\"] >= validation_start_date) & (q_obs[\"Date\"] <= validation_end_date)]\n",
+    "observed_output = pd.Series(data=q_obs[\"discharge_m3s\"].to_numpy(), name=\"Observed discharge\", index=q_obs[\"Date\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 128,
+   "id": "fc27f6f8-e7ff-4be6-b073-05006d25426a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Date\n",
+       "2025-01-01    189.0\n",
+       "2025-01-02    191.0\n",
+       "2025-01-03    196.0\n",
+       "2025-01-04    201.0\n",
+       "2025-01-05    203.0\n",
+       "Name: Observed discharge, dtype: float64"
+      ]
+     },
+     "execution_count": 128,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "observed_output.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 129,
+   "id": "7f6f57aa-9f39-4524-ba3a-34f55035ebab",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA/YAAAHUCAYAAACQ47NAAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8fJSN1AAAACXBIWXMAAA9hAAAPYQGoP6dpAAC1d0lEQVR4nOzdd3iT5foH8G9m05nulpaWvbcsAWXIlqEiIqIIijhQkSPIAccRjwpu8QdH9CgKCojjAILKlikgs+xNCy1t6U530ybv74/kfdvQlbRJk7Tfz3X1OpA8SZ60kdP7ve/nvmWCIAggIiIiIiIiIrckd/YGiIiIiIiIiKjmGNgTERERERERuTEG9kRERERERERujIE9ERERERERkRtjYE9ERERERETkxhjYExEREREREbkxBvZEREREREREboyBPREREREREZEbY2BPRERERERE5MYY2BMRNWCHDh3CQw89hEaNGkGtViM8PBzjx4/HwYMHy61dsGABZDIZ0tLSnLBT52ratCmmTp1ao8fGxcVBJpNhxYoVNj929+7dkMlk2L17t3Sb+HNwtIEDB2LgwIHS32vzPqozdepU+Pj42P153cXChQuxYcMGmx6zdu1adO3aFRqNBhEREZg1axZyc3Mt1kydOhUymazSr0OHDklrBw4cKN0ul8vh6+uLli1b4qGHHsIvv/wCo9FY6V5Onz4NmUwGlUqFpKSkStcdP34cQ4YMgY+PD/z9/TFu3Dhcu3atwrVLlixB27Zt4eHhgWbNmuGtt95CcXGxxZqEhATMmjULAwYMgL+/v8M+n0RE7oCBPRFRA7VkyRL069cPCQkJ+OCDD7Bjxw589NFHuHnzJu666y4sXbrU2Vts8O644w4cPHgQd9xxh7O3gkaNGuHgwYMYNWqUs7dS79ga2K9evRqPPPIIevbsic2bN+PNN9/EihUrMG7cOIt1b7zxBg4ePFjuKzg4GJGRkejZs6fF+ubNm+PgwYM4cOAANmzYgHnz5qGgoAAPPfQQBg4cCJ1OV+F+vv76awBASUkJvvvuuwrXXLhwAQMHDoRer8dPP/2Eb775BpcuXcLdd9+N1NRUi7XvvvsuXnrpJYwbNw5bt27FjBkzsHDhQjz//PMW665cuYLVq1dDrVbj3nvvtfr7R0RULwlERNTg7N+/X5DL5cLo0aOF4uJii/uKi4uF0aNHC3K5XNi/f790+5tvvikAEFJTU+t6u+Xk5+fX6es1adJEmDJlSo0eGxsbKwAQvv32W7vsRfw5ONqAAQOEAQMGOPx1BEEQpkyZInh7ezv8der6c2Mtb29vqz9fJSUlQqNGjYRhw4ZZ3L569WoBgPDHH39U+fjdu3cLAITXX3/d4vYBAwYIHTp0qPAx33zzjQBAmDBhQrn7CgsLhaCgIKFLly5CZGSk0Lp16wqf46GHHhKCg4MFnU4n3RYXFyeoVCph7ty50m1paWmCRqMRnn76aYvHv/vuu4JMJhPOnj0r3WYwGKQ/HzlyxK7/nRERuRtm7ImIGqBFixZBJpNh2bJlUCqVFvcplUp8/vnnkMlkeO+998o9Nj4+HuPGjYOfnx+0Wi0ee+yxchm3P//8EwMHDkRQUBA8PT0RHR2NBx98EPn5+dIavV6Pd955Ryq3DQkJwRNPPFHuuZo2bYrRo0dj3bp16NatGzQaDd566y1069YNd999d7n9GQwGREZGWmQvrX2t4uJizJ07F+Hh4fDy8sJdd92Fw4cPW/19TUxMxIQJE+Dr6wutVouHH34YycnJ5dYdPXoUEydORNOmTeHp6YmmTZvikUcewfXr1y3WVVSKf7tp06YhMDDQ4nsruueee9ChQ4cq9ywIAj744AM0adIEGo0Gd9xxBzZv3lxuXUWl+KmpqXj66acRFRUlfV/79euHHTt2WDx2y5YtGDx4MLRaLby8vNCuXTssWrSo3GtcuXIF9957L3x8fBAVFYXZs2ejqKjIYs1bb72F3r17IzAwEH5+frjjjjuwfPlyCIJgsa6yzw0AnD17FsOGDYOXlxdCQkLw/PPP4/fff6/we71jxw4MHjwYfn5+8PLyQr9+/bBz584qv6cAUFhYiNmzZ6Nr167QarUIDAxEnz598Ouvv1qsk8lkyMvLw8qVK6VS+LJHIG536NAhJCUl4YknnrC4/aGHHoKPjw/Wr19f5b6WL18OmUyGJ598str3IHriiSdw77334ueffy73Gd2wYQPS09Px1FNPYcqUKbh06RL2799vsaakpAS//fYbHnzwQfj5+Um3N2nSBIMGDbLY85YtW1BYWFju/T3xxBMQBMGiskEu56+xREQiZfVLiIioPjEYDNi1axd69OiBxo0bV7gmKioK3bt3x59//gmDwQCFQiHd98ADD2DChAl49tlncfbsWbzxxhs4d+4c/v77b6hUKsTFxWHUqFG4++678c0338Df3x83b97Eli1boNfr4eXlBaPRiPvuuw/79u3D3Llz0bdvX1y/fh1vvvkmBg4ciKNHj8LT01N6zePHj+P8+fN4/fXX0axZM3h7eyMiIgIvvfQSLl++jFatWklrt23bhsTERCkwsOW1pk+fju+++w5z5szB0KFDcebMGYwbNw45OTnVfl8LCgowZMgQJCYmYtGiRWjdujV+//13PPzww+XWxsXFoU2bNpg4cSICAwORlJSEZcuWoWfPnjh37hyCg4Ot+2ECeOmll/DNN99gzZo1eOqpp6Tbz507h127duE///lPlY9/66238NZbb2HatGkYP3484uPjMX36dBgMBrRp06bKx06ePBnHjx/Hu+++i9atWyMrKwvHjx9Henq6tGb58uWYPn06BgwYgC+++AKhoaG4dOkSzpw5Y/FcxcXFGDt2LKZNm4bZs2dj7969ePvtt6HVavGvf/3L4nv3zDPPIDo6GoAp0H3xxRdx8+ZNi3VAxZ+bpKQkDBgwAN7e3li2bBlCQ0Pxww8/4IUXXij3/latWoXHH38c9913H1auXAmVSoUvv/wSw4cPx9atWzF48OBKvzdFRUXIyMjAnDlzEBkZCb1ejx07dmDcuHH49ttv8fjjjwMADh48iHvuuQeDBg3CG2+8AQAWwe/txO9b586dLW5XqVRo27Ztue9rWTqdDr/88gsGDx6MZs2aVbquImPHjsUff/yBffv2oUmTJtLty5cvh4eHBx599FFkZGRg0aJFWL58Oe666y5pzdWrV1FQUFBuz+L72L59OwoLC6HRaKT9d+rUyWJdo0aNEBwcXOX7IyJq0JxcMUBERHUsOTlZACBMnDixynUPP/ywAEC4deuWIAilJeD/+Mc/LNaJJcCrVq0SBEEQfvnlFwGAEBMTU+lz//DDDwIA4X//+5/F7WI57eeffy7d1qRJE0GhUAgXL160WJuWliao1Wrh1Vdftbh9woQJQlhYmHTEwNrXOn/+fJXvr7pS6WXLlgkAhF9//dXi9unTp1dbIlxSUiLk5uYK3t7ewmeffSbdvmvXLgGAsGvXLum2ikrxBwwYIHTt2tXitueee07w8/MTcnJyKn3dzMxMQaPRCA888IDF7X/99ZcAwKIUv6IjBT4+PsKsWbMqff6cnBzBz89PuOuuuwSj0VjpuilTpggAhJ9++sni9nvvvVdo06ZNpY8zGAxCcXGx8O9//1sICgqyeI3KPjevvPJKuZJuQRCE4cOHW3yv8/LyhMDAQGHMmDHlXrNLly5Cr169Kt1XRUpKSoTi4mJh2rRpQrdu3Szus6UU/9133xUACElJSeXuGzZsWKWl8IJQ+hn94Ycfyt1XVSm+IAjC5s2bBQDC+++/L90WFxcnyOVyi39LBgwYIHh7ewvZ2dnSbeLnqaLXXbhwoQBASExMFATB9N+Lh4dHhXto3bp1uSMIIpbiE1FDxxomIiKqkGAubb69A/ujjz5q8fcJEyZAqVRi165dAICuXbtCrVbj6aefxsqVKyvsev3bb7/B398fY8aMQUlJifTVtWtXhIeHlyuH7ty5M1q3bm1xW1BQEMaMGYOVK1dKHbszMzPx66+/4vHHH5eOGFj7WuL+K3t/1dm1axd8fX0xduxYi9snTZpUbm1ubi7++c9/omXLllAqlVAqlfDx8UFeXh7Onz9f7Wvd7qWXXkJMTAz++usvAEB2dja+//57TJkypcpu8wcPHkRhYWG599y3b1+LrGxlevXqhRUrVuCdd97BoUOHynUtP3DgALKzszFjxoxqO/nLZDKMGTPG4rbOnTuXK/3+888/MWTIEGi1WigUCqhUKvzrX/9Ceno6UlJSyj3+9s/Nnj170LFjR7Rv397i9kceeaTc3jMyMjBlyhSLz43RaMSIESNw5MgR5OXlVfmefv75Z/Tr1w8+Pj5QKpVQqVRYvnx5jX7Gt6vs+1nV93n58uUICgrCAw88YPPrCbcddQCAb7/9Fkaj0aKs/8knn0ReXh5+/PFHm/ZW9j5r1xERUSkG9kREDUxwcDC8vLwQGxtb5bq4uDh4eXkhMDDQ4vbw8HCLvyuVSgQFBUnl1y1atMCOHTsQGhqK559/Hi1atECLFi3w2WefSY+5desWsrKyoFaroVKpLL6Sk5PLjdRr1KhRhXt88skncfPmTWzfvh0A8MMPP6CoqMhiNJ21ryXuv7L3V5309HSEhYWVu/325wNMwf7SpUvx1FNPYevWrTh8+DCOHDmCkJAQFBQUVPtat7vvvvvQtGlTqex+xYoVyMvLK9dFvKI9V7bHim673Y8//ogpU6bg66+/Rp8+fRAYGIjHH39c6isg9jCo7MhHWV5eXtBoNBa3eXh4oLCwUPr74cOHMWzYMADAV199hb/++gtHjhzBa6+9BgDlvncVfW4q+zndftutW7cAAOPHjy/3uXn//fchCAIyMjIqfT/r1q3DhAkTEBkZiVWrVuHgwYM4cuQInnzySYv3ZCvxs1j2uIMoIyOj3H+volOnTuHo0aN47LHH4OHhYfPrihdYIiIiAJiOuKxYsQIRERHo3r07srKykJWVhSFDhsDb2xvLly+3es8ymQz+/v7S2sLCwgp7RlT1/oiIGjqesSciamAUCgUGDRqELVu2ICEhocKgKyEhAceOHcPIkSMtztcDQHJyMiIjI6W/l5SUID093SL4vfvuu3H33XfDYDDg6NGjWLJkCWbNmoWwsDBMnDgRwcHBCAoKwpYtWyrco6+vr8XfK8vSDR8+HBEREfj2228xfPhwfPvtt+jdu7dFNtba1xL3X9n7q05QUFCFjfZub56n0+nw22+/4c0338S8efOk28Uz2TUhl8vx/PPP49VXX8XHH3+Mzz//HIMHD672jHzZ91zRvps2bVrl44ODg7F48WIsXrwYN27cwMaNGzFv3jykpKRgy5YtCAkJAWD6PNnD2rVroVKp8Ntvv1lcBKhsVFxFn5ugoCApaC/r9u+B2OdgyZIluPPOOyt8/oouEIhWrVqFZs2a4ccff7TYx+3NAG0lnj0/ffq0xee8pKQEFy5cKFd5IBID7bJ9GGyxceNGyGQy9O/fH4CpqaAY7Fd04evQoUM4d+4c2rdvjxYtWsDT0xOnT58ut+706dNo2bKl9PMs+/569+4trRMvwnXs2LFG+yciqu+YsSciaoDmz58PQRAwY8YMGAwGi/sMBgOee+45CIKA+fPnl3vs6tWrLf7+008/oaSkpMJO3gqFAr1795YyycePHwcAjB49Gunp6TAYDOjRo0e5r+oC0rLPP3nyZGzYsAH79u3D0aNHy3X7tva1xP1X9v6qM2jQIOTk5GDjxo0Wt69Zs8bi7zKZDIIglMuafv311+V+FrZ46qmnoFar8eijj+LixYsVNoO73Z133gmNRlPuPR84cKBcCXx1oqOj8cILL2Do0KHSz7lv377QarX44osvKizltpVMJoNSqbS42FRQUIDvv//e6ucYMGAAzpw5g3PnzlncvnbtWou/9+vXD/7+/jh37lyFn5sePXpArVZXuVe1Wm0R1CcnJ5frig+YKhOsrdTo3bs3GjVqZDGdAAB++eUX5ObmlptlD5guJqxatQq9evWqUWD87bffYvPmzXjkkUekpoXLly+HXC7Hhg0bsGvXLosv8efxzTffADBVvYwZMwbr1q2zaER548YN7Nq1y2LPI0aMgEajKff+VqxYAZlMhvvvv9/m/RMRNQTM2BMRNUD9+vXD4sWLMWvWLNx111144YUXEB0djRs3buA///kP/v77byxevBh9+/Yt99h169ZBqVRi6NChUlf8Ll26YMKECQCAL774An/++SdGjRqF6OhoFBYWSr/gDxkyBAAwceJErF69Gvfeey9eeukl9OrVCyqVCgkJCdi1axfuu+8+q88BP/nkk3j//fcxadIkeHp6lutCb+1rtWvXDo899hgWL14MlUqFIUOG4MyZM/joo4+q7FIuevzxx/Hpp5/i8ccfx7vvvotWrVrhjz/+wNatWy3W+fn5oX///vjwww8RHByMpk2bYs+ePVi+fLlUjlwT/v7+ePzxx7Fs2TI0adKk3Hn1igQEBGDOnDl455138NRTT+Ghhx5CfHw8FixYUG0pvk6nw6BBgzBp0iS0bdsWvr6+OHLkCLZs2SIFaj4+Pvj444/x1FNPYciQIZg+fTrCwsJw5coVnDx5EkuXLrXpPY4aNQqffPIJJk2ahKeffhrp6en46KOPbCotnzVrFr755huMHDkS//73vxEWFoY1a9bgwoULAEpHqPn4+GDJkiWYMmUKMjIyMH78eISGhiI1NRUnT55Eamoqli1bVunriKP2ZsyYIU0bePvtt9GoUSNcvnzZYm2nTp2we/dubNq0CY0aNYKvr2+lF7cUCgU++OADTJ48Gc888wweeeQRXL58GXPnzsXQoUMxYsSIco/ZsGEDMjIyqs3WFxQU4NChQ9Kfr127hg0bNuC3336TphoAppL6X3/9FcOHD8d9991X4XN9+umn+O6777Bo0SKoVCq89dZb6NmzJ0aPHo158+ahsLAQ//rXvxAcHIzZs2dLjwsMDMTrr7+ON954A4GBgRg2bBiOHDmCBQsW4KmnnirXG+GXX34BAKmXx9GjR6W+EuPHj6/y/RIR1StObNxHREROdvDgQWH8+PFCWFiYoFQqhdDQUGHcuHHCgQMHyq0Vu7EfO3ZMGDNmjODj4yP4+voKjzzyiNQ5X3zOBx54QGjSpIng4eEhBAUFCQMGDBA2btxo8XzFxcXCRx99JHTp0kXQaDSCj4+P0LZtW+GZZ54RLl++LK1r0qSJMGrUqCrfR9++fQUAwqOPPlrh/da+VlFRkTB79mwhNDRU0Gg0wp133ikcPHhQaNKkiVVdyxMSEoQHH3xQ+t48+OCDwoEDB8p16xbXBQQECL6+vsKIESOEM2fOlHsda7vii3bv3i0AEN57771q9yoyGo3CokWLhKioKEGtVgudO3cWNm3aJAwYMKDKrviFhYXCs88+K3Tu3Fnw8/MTPD09hTZt2ghvvvmmkJeXZ/Eaf/zxh9Qt3cvLS2jfvr1Fd/UpU6YI3t7e5fZW0Xv95ptvhDZt2ggeHh5C8+bNhUWLFgnLly8XAAixsbHSuqo+N2fOnBGGDBkiaDQaITAwUJg2bZqwcuVKAYBw8uRJi7V79uwRRo0aJQQGBgoqlUqIjIwURo0aJfz888/Vfm/fe+89oWnTpoKHh4fQrl074auvvqrwPcXExAj9+vUTvLy8yk0jqMyaNWuEzp07C2q1WggPDxdmzpxZ6QSEoUOHlutUf7sBAwYIAKQvb29voXnz5sL48eOFn3/+WTAYDNLaxYsXCwCEDRs2VPp8X3zxRblpFEePHhUGDx4seHl5CX5+fsL9998vXLlypcLHf/bZZ0Lr1q0FtVotREdHC2+++aag1+vLrSu759u/iIgaEpkg2KE2joiIiJxu9uzZWLZsGeLj461q+Eelnn76afzwww9IT0+vssSeiIjIFbEUn4iIyM0dOnQIly5dwueff45nnnmGQX01/v3vfyMiIgLNmzdHbm4ufvvtN3z99dd4/fXXGdQTEZFbYmBPRETk5vr06QMvLy+MHj0a77zzjrO34/JUKhU+/PBDJCQkoKSkBK1atcInn3yCl156ydlbIyIiqhGW4hMRERERERG5MY67IyIiIiIiInJjDOyJiIiIiIiI3BgDeyIiIiIiIiI35tTmeXv37sWHH36IY8eOISkpCevXr8f9999vseb8+fP45z//iT179sBoNKJDhw746aefEB0dDQAoKirCnDlz8MMPP6CgoACDBw/G559/jsaNG0vPkZmZiZkzZ2Ljxo0AgLFjx2LJkiXw9/e3eq9GoxGJiYnw9fWFTCar9XsnIiIiIiIiqoogCMjJyUFERATk8srz8k4N7PPy8tClSxc88cQTePDBB8vdf/XqVdx1112YNm0a3nrrLWi1Wpw/fx4ajUZaM2vWLGzatAlr165FUFAQZs+ejdGjR+PYsWNQKBQAgEmTJiEhIQFbtmwBYJpVO3nyZGzatMnqvSYmJiIqKqqW75iIiIiIiIjINvHx8RbJ69u5TFd8mUxWLmM/ceJEqFQqfP/99xU+RqfTISQkBN9//z0efvhhAKUB+B9//IHhw4fj/PnzaN++PQ4dOoTevXsDMM377dOnDy5cuIA2bdpU+NxFRUUoKiqyeK3o6GjEx8fDz8/PTu+aiIiIiIiIqGLZ2dmIiopCVlYWtFptpetcdo690WjE77//jrlz52L48OE4ceIEmjVrhvnz50vB/7Fjx1BcXIxhw4ZJj4uIiEDHjh1x4MABDB8+HAcPHoRWq5WCegC48847odVqceDAgUoD+0WLFuGtt94qd7ufnx8DeyIiIiIiIqoz1R0Hd9nmeSkpKcjNzcV7772HESNGYNu2bXjggQcwbtw47NmzBwCQnJwMtVqNgIAAi8eGhYUhOTlZWhMaGlru+UNDQ6U1FZk/fz50Op30FR8fb8d3R0RERERERGQfLp2xB4D77rsP//jHPwAAXbt2xYEDB/DFF19gwIABlT5WEASLKxoVXd24fc3tPDw84OHhUdPtExEREREREdUJl83YBwcHQ6lUon379ha3t2vXDjdu3AAAhIeHQ6/XIzMz02JNSkoKwsLCpDW3bt0q9/ypqanSGiIiIiIiIiJ35bKBvVqtRs+ePXHx4kWL2y9duoQmTZoAALp37w6VSoXt27dL9yclJeHMmTPo27cvAKBPnz7Q6XQ4fPiwtObvv/+GTqeT1hARERERERG5K6eW4ufm5uLKlSvS32NjYxETE4PAwEBER0fjlVdewcMPP4z+/ftj0KBB2LJlCzZt2oTdu3cDALRaLaZNm4bZs2cjKCgIgYGBmDNnDjp16oQhQ4YAMGX4R4wYgenTp+PLL78EYBp3N3r06Eob5xERERERERG5C6eOu9u9ezcGDRpU7vYpU6ZgxYoVAIBvvvkGixYtQkJCAtq0aYO33noL9913n7S2sLAQr7zyCtasWYOCggIMHjwYn3/+ucXM+YyMDMycORMbN24EAIwdOxZLly6Fv7+/1XvNzs6GVquFTqdjV3wiIiIiIiJyOGvjUJeZY+/qGNgTERERERFRXbI2DnXZM/ZEREREREREVD0G9kRERERERERujIE9ERERERERkRtjYE9ERERERETkxhjYExEREREREbkxBvZEREREREREboyBPRFRPWIwCpj5wwl8tfeas7dCRERERHWEgT0RUT1yITkbG08mYsmfl529FSIiIiKqIwzsiYjqkZzCEgBAdmEJig1GJ++GiIiIiOoCA3sionpEDOwBICu/2Ik7ISIiIqK6wsCeiKgeyS0qDeYz8/VO3AkRERER1RUG9kRE9UhumYx9Rh4DeyIiIqKGgIE9EVE9klNUGthnMrAnIiIiahAY2BMR1SMWGXuW4hMRERE1CAzsiYjqkVxm7ImIiIgaHAb2RET1SI7FGXt2xSciIiJqCBjYExHVI2UDe3bFJyIiImoYGNgTEdUjZcfdsSs+ERERUcPAwJ6IqB6xOGPPjD0RERFRg8DAnoioHuEceyIiIqKGh4E9EVE9wq74RERERA0PA3sionqkbPO8PL0BhcUGJ+6GiIiIiOoCA3sionpCX2JEUYnR4rasfI68IyIiIqrvGNgTEdUTZcvwA73VAID0vCJnbYeIiIiI6ggDeyKiekJsnOelViDYxxTYZ+YxY09ERERU3zGwJyKqJ3LMM+x9PJRSxj6DI++IiIiI6j0G9kRE9YSYsffRlAb27IxPREREVP8xsCciqifEM/a+HkoEeJkz9gzsiYiIiOo9BvZERPVETkUZe5biExEREdV7DOyJiOqJHHPG3ocZeyIiIqIGhYE9EVE9IZ6x99WomLEnIiIiakAY2BMR1RO5ZbriB4hd8TnujoiIiKjeY2BPRFRPlGbslQj0Yld8IiIiooaCgT0RUT1hccbeWwXANMdeEARnbouIiIiIHIyBPRFRPVFRV3x9iRH5eoMzt0VEREREDsbAnoionhBL8X08lPBUKeChNP0Tz874RERERPUbA3sionoi11yK76dRQSaTSVl7BvZERERE9RsDeyKiekIM7H00SgCA1tN0zl4s0SciIiKi+smpgf3evXsxZswYREREQCaTYcOGDZWufeaZZyCTybB48WKL24uKivDiiy8iODgY3t7eGDt2LBISEizWZGZmYvLkydBqtdBqtZg8eTKysrLs/4aIiJwop0wpPgB4m/9XDPiJiIiIqH5yamCfl5eHLl26YOnSpVWu27BhA/7++29ERESUu2/WrFlYv3491q5di/379yM3NxejR4+GwVDaLGrSpEmIiYnBli1bsGXLFsTExGDy5Ml2fz9ERM5Udo49wMCeiIiIqKFQOvPFR44ciZEjR1a55ubNm3jhhRewdetWjBo1yuI+nU6H5cuX4/vvv8eQIUMAAKtWrUJUVBR27NiB4cOH4/z589iyZQsOHTqE3r17AwC++uor9OnTBxcvXkSbNm0c8+aIiOpQscGIwmIjANMcewDwNQf2eQzsiYiIiOo1lz5jbzQaMXnyZLzyyivo0KFDufuPHTuG4uJiDBs2TLotIiICHTt2xIEDBwAABw8ehFarlYJ6ALjzzjuh1WqlNRUpKipCdna2xRcRkavKLXOO3lvK2CtM9zGwJyIiIqrXXDqwf//996FUKjFz5swK709OToZarUZAQIDF7WFhYUhOTpbWhIaGlntsaGiotKYiixYtks7ka7VaREVF1eKdEBE5lhi8a1RyqBSmf9pZik9ERETUMLhsYH/s2DF89tlnWLFiBWQymU2PFQTB4jEVPf72NbebP38+dDqd9BUfH2/THoiI6pLYOM9Xo5JuYyk+ERERUcPgsoH9vn37kJKSgujoaCiVSiiVSly/fh2zZ89G06ZNAQDh4eHQ6/XIzMy0eGxKSgrCwsKkNbdu3Sr3/KmpqdKainh4eMDPz8/ii4jIVYlZeTGYB8pk7DnujoiIiKhec9nAfvLkyTh16hRiYmKkr4iICLzyyivYunUrAKB79+5QqVTYvn279LikpCScOXMGffv2BQD06dMHOp0Ohw8fltb8/fff0Ol00hoiIncndcTXVBDYM2NPREREVK85tSt+bm4urly5Iv09NjYWMTExCAwMRHR0NIKCgizWq1QqhIeHS53stVotpk2bhtmzZyMoKAiBgYGYM2cOOnXqJHXJb9euHUaMGIHp06fjyy+/BAA8/fTTGD16NDviE1G9cfsMe6C0O36enoE9ERERUX3m1MD+6NGjGDRokPT3l19+GQAwZcoUrFixwqrn+PTTT6FUKjFhwgQUFBRg8ODBWLFiBRQKhbRm9erVmDlzptQ9f+zYsVi6dKn93ggRkZNVFNh7q1mKT0RERNQQODWwHzhwIARBsHp9XFxcuds0Gg2WLFmCJUuWVPq4wMBArFq1qiZbJCJyC2K5PUvxiYiIiBoelz1jT0RE1ss3B+9ilh4oU4pfZHDKnoiIiIiobjCwJyKqB/QGU/WTWln6zzoz9kREREQNAwN7IqJ6QF9iBGAZ2Ivn7fP0JTYdeyIiIiIi98LAnoioHig2mAJ7laJ8YC8IQL6e5fhERERE9RUDeyKiekDM2HuUydhrVHLIZaY/sxyfiIiIqP5iYE9EVA+UZuxl0m0ymUzK2jOwJyIiIqq/GNgTEdUDRebAXq2w/GddCuw5y56IiIio3mJgT0RUDxSbS/FVSst/1sXO+HnM2BMRERHVWwzsiYjqAX1lGXsNS/GJiIiI6jsG9kRE9YB4xl6trKQUn4E9ERERUb3FwJ6IqB6Q5tjflrH3VrMUn4iIiKi+Y2BPRFQP6A0CAMs59kDZUnzOsSciIiKqrxjYExHVA1LGvtJS/OI63xMRERER1Q0G9kRE9UDpHPuKA/s8ZuyJiIiI6i0G9kRE9UBlGXtvNs8jIiIiqvcY2BMR1QPFlY2781AAAHILGdgTERER1VcM7ImI6oFKz9ibm+fl6RnYExEREdVXDOyJiOoBvXTGXmZxuzjuLocZeyIiIqJ6i4E9EVE9UF1XfM6xJyIiIqq/GNgTEdUDlZ6x1zCwJyIiIqrvGNgTEbm5EoMRRsH058q64ucwsCciIiKqtxjYExG5uWKDIP258jn2JRAEAURERERU/zCwJyJyc+L5eqDyM/ZGASgsNoKIiIiI6h8G9kREbk7siA8ASrllV3wvtQIy8005RcV1uS0iIiIiqiMM7ImI3JwY2KuVcshkloG9TCaTRt7lFRnqfG9ERERE5HgM7ImI3FxxScUd8UUceUdERERUvzGwJyJyc2Uz9hXx9lAAAHIKGdgTERER1UcM7ImI3JzYPE+lkFV4v49GBYAZeyIiIqL6ioE9EZGbqy5j72PO2OcysCciIiKqlxjYExG5uWIpY19JKb65eR4DeyIiIqL6iYE9EZGbkzL2lTXP07B5HhEREVF9xsCeiMjNFVdbis+MPREREVF9xsCeiMjN6asZd+fFOfZERERE9RoDeyIiN6c3CAAqP2MvZvJLjMY62xMRERER1R0G9kREbk7K2FdSiq82j8ETS/aJiIiIqH5hYE9E5ObEgL2yjL3SfLu+RKizPRERERFR3WFgT0Tk5sSMvUclGXsx4GfGnoiIiKh+YmBPROTmSjP2sgrvZyk+ERERUf3m1MB+7969GDNmDCIiIiCTybBhwwbpvuLiYvzzn/9Ep06d4O3tjYiICDz++ONITEy0eI6ioiK8+OKLCA4Ohre3N8aOHYuEhASLNZmZmZg8eTK0Wi20Wi0mT56MrKysOniHRESOV1TNGXtm7ImIiIjqN6cG9nl5eejSpQuWLl1a7r78/HwcP34cb7zxBo4fP45169bh0qVLGDt2rMW6WbNmYf369Vi7di3279+P3NxcjB49GgZD6VinSZMmISYmBlu2bMGWLVsQExODyZMnO/z9ERHVherO2JcG9jxjT0RERFQfKZ354iNHjsTIkSMrvE+r1WL79u0Wty1ZsgS9evXCjRs3EB0dDZ1Oh+XLl+P777/HkCFDAACrVq1CVFQUduzYgeHDh+P8+fPYsmULDh06hN69ewMAvvrqK/Tp0wcXL15EmzZtHPsmiYgcrLqu+ColM/ZERERE9ZlbnbHX6XSQyWTw9/cHABw7dgzFxcUYNmyYtCYiIgIdO3bEgQMHAAAHDx6EVquVgnoAuPPOO6HVaqU1FSkqKkJ2drbFFxGRKxIDdnVlc+x5xp6IiIioXnObwL6wsBDz5s3DpEmT4OfnBwBITk6GWq1GQECAxdqwsDAkJydLa0JDQ8s9X2hoqLSmIosWLZLO5Gu1WkRFRdnx3RAR2U91GXul3DzujqX4RERERPWSWwT2xcXFmDhxIoxGIz7//PNq1wuCAJmstDt02T9XtuZ28+fPh06nk77i4+NrtnkiIgcTA/ZKz9iLpfglzNgTERER1UcuH9gXFxdjwoQJiI2Nxfbt26VsPQCEh4dDr9cjMzPT4jEpKSkICwuT1ty6davc86ampkprKuLh4QE/Pz+LLyIiV1TtGXuW4hMRERHVay4d2ItB/eXLl7Fjxw4EBQVZ3N+9e3eoVCqLJntJSUk4c+YM+vbtCwDo06cPdDodDh8+LK35+++/odPppDVERO6suq74ao67IyIiIqrXnNoVPzc3F1euXJH+Hhsbi5iYGAQGBiIiIgLjx4/H8ePH8dtvv8FgMEhn4gMDA6FWq6HVajFt2jTMnj0bQUFBCAwMxJw5c9CpUyepS367du0wYsQITJ8+HV9++SUA4Omnn8bo0aPZEZ+I6oXqM/Ycd0f2tXx/LP6+lo6lk+6o9HNHREREdcepgf3Ro0cxaNAg6e8vv/wyAGDKlClYsGABNm7cCADo2rWrxeN27dqFgQMHAgA+/fRTKJVKTJgwAQUFBRg8eDBWrFgBhUIhrV+9ejVmzpwpdc8fO3Ysli5d6sB3RkRUd0q74lfcN0TFjD3Z2df7riFJV4iY+Cz0ahbo7O0QERE1eE4N7AcOHAhBqDyDVNV9Io1GgyVLlmDJkiWVrgkMDMSqVatqtEciIlenN/CMPdWt3KISAEBqTpGTd0JERESAi5+xJyKi6oml+JV2xWcpPtmRIAjI1xsAAKk5hU7eDREREQEM7ImI3J6Usa9m3J2eGXuyg6ISIwxG00Wi1Fxm7ImIiFwBA3siIjcndcW3ohTfmiNO5Fg7z9/CuM//wrXUXGdvpUYKzNl6gKX4REREroKBPRGRmxNL8T2qGXcnCJAyreQ8Kw7E4fiNLCzfH+vsrdRInr5E+jMDeyIiItfAwJ6IyM2JZ+crz9iX3l7CwN7prqXmAQC2n7sFoxv+PPLLZuxZik9EROQSGNgTEbk5aY59Nc3zAJ6zd7Z8fQluZhUAAFJyinAyIcu5G6qBfJbiExERuRwG9kREbk4M1ivvil863764hIG9M4nZetG2c7ectJOayy8qLcVPy9W7ZdUBERFRfcPAnojIzUkZ+0pK8WUyGZRysYEegzBnumpumKcw/zy2nU125nZqJK9Mxt5gFJCZr3fiboiIiAhgYE9E5PaKqxl3B5SdZc+MvTNdTTEF9iM6hkOlkOFqah6upLhXd/z8Ms3zAJ6zJyIicgUM7ImI3Fx1GXugtByfZ+yd66q5FL9blD/6tggGYGqi507KnrEHeM6eiIjIFTCwJyJyY0ajIHW6L3uW/nZi0F/CUnynEkvxW4T4YEj7MADAX1fSnLklm+UV3ZaxZ2BPRETkdEpnb4CIiGqubAa+6ow9S/GdzWAUcC3NlLFvEeIjnbNPc7NS9tsz9ikM7ImIiJyOGXsiIjdWNlCvrCt+2ftYiu88NzMLoC8xQq2UIzLAE1pPFQAgu6DYyTuzDUvxiYiIXA8DeyIiN6YvM76uquZ5SnOZPsfdOY9Yht882BsKuUwK7HVuF9ibSvG91AoADOyJiIhcAQN7IiI3Jo6vU8plkMurOGMvleLzjL2zSOfrQ30AQArs8/QGtzoikVdkythHB3oBYGBPRETkChjYExG5MWnUXRXn6wGesXcFZRvnAYCfObAH3Kscv6DYlLFvEmQO7N2sRwAREVF9xMCeiMiNFZlL66s6X2+6n+PunO1qitg4zxsAoJDL4Oth6mHrTuX4Ysa+aZDpfTBjT0RE5HwM7ImI3JitGXuOu3Oe2zP2QGnWPsuNAnvxjH3TYFNgrysoRlGJoaqHEBERkYMxsCcicmNi87yqGucBpYE/S/Gdo7DYgPQ8PQAgynw2HYBbNtATu+KHazVSJUhart6ZWyIiImrwGNgTEbkxazP2SjlL8Z1JLFf3UMrhp1FKt7vjyDsxsPfxUCLExwMAy/GJiIicjYE9EZEb00tn7CvviG+6nxl7ZxIbzIX4ekAmK/1ZuWPGPq+odNxdiC8DeyIiIlfAwJ6IyI3prT1jL5bic469U4iBrxgIi6TAPt99AnsxY++lVjKwJyIichEM7ImI3Jjeyq74nGPvXFJg72MZ2Pt7uVfGXhAEqXmed5mMfUpOoTO3RURE1OAxsCcicmNioF5d8zyOu3OulEoy9n5uVopfVGKE0XxtyMtDiTA/DQDgVjYDeyIiImdiYE9E5Mb0BlNZNMfdubZqS/HdJLAXz9cDgKdKgQh/TwDAzSwG9kRERM7EwJ6IyI0Vl1ibsWfzPGeqL4G9eL5eo5JDIZch0hzYJ2YVOHNbREREDR4DeyIiN1ZksO6MvViKz8DeOaSu+D71I7D3VptG9kWUCewFgdUgREREzsLAnojIjYld7q0txecZe+dIqyZj7y5z7PPMjfM81QoAQCOt6Yx9vt7gNhcniIiI6iMG9kREbkxvdcaepfjOIghCvSnFL7gtY69RKRDsowYAJGSyHJ+IiMhZlLY+IC4uDvv27UNcXBzy8/MREhKCbt26oU+fPtBoNI7YIxERVcLajL1ammPPcum6ll1QIl2ACa6kFD9Pb0CxwVjtBRpnE5vneXkopNsi/D2RlqtHYlYBOkZqnbU1IiKiBs3qwH7NmjX4v//7Pxw+fBihoaGIjIyEp6cnMjIycPXqVWg0Gjz66KP45z//iSZNmjhyz0REZCYGjGrzGfrKSGfsjczY17XUXFPHeD+NEhqVwuI+cdwdYMra3x74uxrxjL2Xukxgr/XEqQQdG+gRERE5kVWB/R133AG5XI6pU6fip59+QnR0tMX9RUVFOHjwINauXYsePXrg888/x0MPPeSQDRMRUSkpsLfyjH0xx93Vucpm2AOAQi6Dr4cSOUUlbhbYl/76IDXQ03HkHRERkbNYFdi//fbbGDVqVKX3e3h4YODAgRg4cCDeeecdxMbG2m2DRERUOX2JdWfslWJgX8KMfV2r7Hy9yM9TJQX2ri7f3DzPu2zG3t90DO8mM/ZEREROY1VgX1VQf7vg4GAEBwfXeENERGS9Yisz9mqOu3Oa0sC+4j40Wk8VbmYVuEVgn1dkyth7lsnYc5Y9ERGR89ncpef48eM4ffq09Pdff/0V999/P1599VXo9Xq7bo6IiKpmbcae4+6cp7IZ9iJ3GnmXX1xRxp6BPRERkbPZHNg/88wzuHTpEgDg2rVrmDhxIry8vPDzzz9j7ty5dt8gERFVTjwz72H1GXsG9nWtulJ8dxp5l2/O2Ht5lD9jn5JTJF1oIiIiorplc2B/6dIldO3aFQDw888/o3///lizZg1WrFiB//3vf/beHxERVcHWjD2b59W96gJ7fy9zYJ/v+oF9nvmMfdmu+ME+aqiVcggCcCubDfSIiIicwebAXhAEGM3jknbs2IF7770XABAVFYW0tDT77o6IiKpkbVd8tdJ0xr6EGfs6Vx8z9mVL8WUymXTOng30iIiInMPmwL5Hjx5455138P3332PPnj1SY73Y2FiEhYXZfYNERFQ5MWOvtvqMPTP2dU0M7EOr6IoPuElgX1x+3B1Q2hmf5+yJiIicw+bAfvHixTh+/DheeOEFvPbaa2jZsiUA4JdffkHfvn1teq69e/dizJgxiIiIgEwmw4YNGyzuFwQBCxYsQEREBDw9PTFw4ECcPXvWYk1RURFefPFFBAcHw9vbG2PHjkVCQoLFmszMTEyePBlarRZarRaTJ09GVlaWrW+diMjliGfmVdVk7JVynrF3hmKDERn5psay9SNjX74UHwAitGygR0RE5ExWB/Ziw7zOnTvj9OnT0Ol0ePPNN6X7P/zwQ6xcudKmF8/Ly0OXLl2wdOnSCu//4IMP8Mknn2Dp0qU4cuQIwsPDMXToUOTk5EhrZs2ahfXr12Pt2rXYv38/cnNzMXr0aBgMBmnNpEmTEBMTgy1btmDLli2IiYnB5MmTbdorEZErsjZjL5biM7CvWxl5eggCoJDLEOClrnCNOwX2efryzfOA0gZ6N7N4xp6IiMgZrJpjDwDdunVDdHQ0xo4di/vvvx99+vSxuF+jqXg+b1VGjhyJkSNHVnifIAhYvHgxXnvtNYwbNw4AsHLlSoSFhWHNmjV45plnoNPpsHz5cnz//fcYMmQIAGDVqlWIiorCjh07MHz4cJw/fx5btmzBoUOH0Lt3bwDAV199hT59+uDixYto06aNzfsmInIVpXPsZVWuk5rnsWt5nRLL8IO81VDIK/4ZuVNgX6AvP+4O4Cx7IiIiZ7M6Y5+eno4PPvgA6enpeOCBBxAWFoZp06Zh48aNKCy0/xX62NhYJCcnY9iwYdJtHh4eGDBgAA4cOAAAOHbsGIqLiy3WREREoGPHjtKagwcPQqvVSkE9ANx5553QarXSmooUFRUhOzvb4ouIyNUUSRl7RZXreMbeOcTAPriSGfaAe82xFzP2nreX4psD+9i0vDrfExEREdkQ2Gs0GowZMwZff/01kpKSsH79eoSEhGDevHkICgrCfffdh2+++QYpKSl22VhycjIAlGvIFxYWJt2XnJwMtVqNgICAKteEhoaWe/7Q0FBpTUUWLVokncnXarWIioqq1fshInIEKSPsU3GZt0gM7EuMzNjXpYw80/n6qn4+YmCf5QaBvXjG3vu25nldorRQK+S4kZGPy7dyKnoo1QMFekP1i4iIyClsbp4HmEbb9O3bF++99x7OnTuHmJgY9O/fHytWrEBUVBT+85//2G2DMpll6aIgCOVuu93taypaX93zzJ8/HzqdTvqKj4+3cedERI5VVGJAujlwDPer+jiUmqX4TiEG62LwXhHxvny9waV7IAiCUNoV38MyY++rUeGuVsEAgM1nKr9oTu5r76VUdFywFV/vu+bsrRARUQVqFNjfrlWrVpg9ezb27t2LxMREi9L4mgoPDweAcln1lJQUKYsfHh4OvV6PzMzMKtfcunWr3POnpqZWOZ7Pw8MDfn5+Fl9ERK4kJduUrfdQyuHvVXngCABKhdg8j6X4dSnL3BG/ssZ5gGncnXidOSvfdbP2hcVGCOaPz+3j7gBgREfT/28zsK+fDl1Lh8Eo4K8rac7eChERVcDqwH7dunV4/PHHsWXLFtxxxx343//+V+G6oKAgtGrVqtYba9asGcLDw7F9+3bpNr1ejz179khj9bp37w6VSmWxJikpCWfOnJHW9OnTBzqdDocPH5bW/P3339DpdDaP5yMiciVJOlN/k0ZaTbWVTKVn7I0QBAb3dSVTCuwrv/CikMukrL243pFi4rMw8b8HsWDj2eoXl5FnbpwHAJ6q8j0dhrYLg0Iuw/mkbFxP51n7+kb89yYhkw0SiYhckdWB/eeff45NmzZBoVDgvffew1tvvVXrF8/NzUVMTAxiYmIAmBrmxcTE4MaNG5DJZJg1axYWLlyI9evX48yZM5g6dSq8vLwwadIkAIBWq8W0adMwe/Zs7Ny5EydOnMBjjz2GTp06SV3y27VrhxEjRmD69Ok4dOgQDh06hOnTp2P06NHsiE9Ebi052/SLdlg1ZfiA5Ti8EiMD+7qSac7A+1eRsQeAQG/T/em5jgvsSwxG/HvTOYz7/C8cupaB7w7GobDY+jPT4vlqT5Wiwg7/Ad5q9GkeBIBZ+/ooSWcK6BMyC3hxkIjIBVk97k4ul6NDhw4YOnQoAJRrWFcTR48exaBBg6S/v/zyywCAKVOmYMWKFZg7dy4KCgowY8YMZGZmonfv3ti2bRt8fX2lx3z66adQKpWYMGECCgoKMHjwYKxYsQKKMh2iV69ejZkzZ0pHBMaOHYulS5fWev9ERM6UbP5Fu5G2+sBeVWYcXrHBKGXwybHEUvzqjkoEeatxLTXPoRn7n44m4Ju/YgEAMhlgFIDr6floE+5bzSNNxIy9l7ryCQwjOoZj/5U0bD6TjGcHtKj9psllJJsz9gXFBmTk6RFUxaQHIiKqe1YH9sHBwXjnnXekvxsMte+MOnDgwCqv+spkMixYsAALFiyodI1Go8GSJUuwZMmSStcEBgZi1apVtdkqEZHLEUtjw7We1a4tG8gXlwhA1QlkshPxzHxVZ+zL3i82Q3SEUwlZAICn7mqGo9czEROfhaupuVYH9jmFpsDeR1P5rw7DOoThjV/P4GR8FpJ1hQi34qITuT5BEKR/bwAgPrOAgT0RkYuxOmXz9ddfo3nz5gBMZ90//fRTh22KiIiqJ2bQwv2q/wVbWaZ0upgj7+pMllSKX03G3jwOL8OBpfjXUk3n3jtGatEy1AcAcCUl1+rHZ+aJ1QeVX6QI9dWgfSNTs9kTNzIrXUfuJTO/GEVlJmokZOY7cTdERFQRqwN7Ly8v6c9qtRo9e/Z0yIaIiMg64hl7azL2MpmsdOSdC49Uq28yreiKD5Sesc/IK3LYXq6lmYL45iHeaBFiCuyvplof2JdWH1R9kaJzY38AwKmbuhrsklyReL5exAZ6RESux+pSfFFhYSGWLFmCXbt2ISUlBcbbMj/Hjx+32+aIiKhyyWW64ltDqZBBbzCX4pPDFZUYkG9uOGdtKX6Gg8bd6QqKkWauBmgW7I1b5lGJNmXsrbxI0bmxFj8cBk4nMLCvL5LLlOEDzNgTEbkimwP7J598Etu3b8f48ePRq1evakcsERGR/RmMAlJyTMGZteeYTefsDdAzY18nxAy3XAb4VnEuHShTiu+gjH1smqkMP9TXA74aFVqEeAMwlecbjQLkFXS5v12mlccKOkVqAZjO9AuCwN8T6oHEcoE9M/ZERK7G5sD+999/xx9//IF+/fo5Yj9ERGSFtNwiGIwCFHIZgq1sYqViKX6dEgN7raeq2sA50Nv0M3TUuLtrqaVl+AAQHegFlUKGgmIDEnUFaBzgVdXDAZR2+K8uY98m3BdqpRzZhSW4np6PpsHetdw9OZs4gaNFiDeupuYxsCcickE2zzuKjIy0GDdHRER1T+xQHebrUeFM8YqoFaZ1DOzrhrWl64Bp3F3Zx9ib2DivuflsvVIhR9MgU8B91XxfdUrfT9UZe5VCLjXQ4zn7+kH896ZXs0AAplJ8zrInInItNgf2H3/8Mf75z3/i+vXrjtgPERFZQcyghdkwTkylZMa+Llk7wx4AAqTmeXqHBExS47wy2XOxgZ615+xLS/Grv1DRubG5HD8+y5ZtkotKyjIF9t2iAyCTAYXFRoeOZiQiItvZHNj36NEDhYWFaN68OXx9fREYGGjxRUREjmdr4zygbCk+M211wZZAWMzYFxsE5BSV2H0vpRn70sBeHHlnbWd8a0vxgTLn7JmxrxfECRzRgV4I9zP9m8NyfCIi12LzGftHHnkEN2/exMKFCxEWFsamOERETpAkjrrzq37UnYhn7OtWpg0Ze41KAS+1Avl6AzJy9fDTVP8YaxmNgtQ8r3mwj3R7i1BzKb7NGfvq99Ylyh8AcPamTuoFQe5JEARp3F2E1hONAzyRpCtEQmY+upp/zkRE5Hw2B/YHDhzAwYMH0aVLF0fsh4iIrCBm7MO11jXOAwAVz9jXKZ009736DDdgmmWfry9ARr4eTWG/hnOJugIUlRihUsjQOKD0QlDLEFO/HGsy9oIg2HS0oEWIDzxVCuTpDbiWmotWYezN4650BcUoLDb9mxHq54HGAV44EpfJjD0RkYuxuRS/bdu2KCjgP+ZERM5UGtjbnrHXc459nbC22ZwoUDxnb+fO+GIZfpMgbygVpf+3L5blp+XqpaC9Mnl6g3SEw5oLFQq5DB0jTQ30TnKevVtLNJ+vD/JWQ6NSSBeH4jM4y56IyJXYHNi/9957mD17Nnbv3o309HRkZ2dbfBERkeOJZ15tO2PPjH1dsuWMPVAmsLdzUzJp1N1tY+e8PZSIMH9+qsvaZ5r3pFbI4aVWWPW6d0QHAAB2X0yxab/kWpKzTcmccPNnRQzsmbEnInItNgf2I0aMwMGDBzF48GCEhoYiICAAAQEB8Pf3R0BAgCP2SEREZZjOvIpn7GvSPI+BfV2wpXQdKA3sa9Nt3GgUcDg2A4XFBum2a2mWo+7KaiE20EupeuRdVpnz9db21hndOQIAsP3cLWQXFlv1GHI9SVKjTlNA3zjAC4Bp5B0REbkOm8/Y79q1yxH7ICIiK2XlF0NfUnrm1Vpqc2Bfwq74dSLTxjP29phlv+lUIl5aG4NezQKx+qnekAE4fiMTQPmMPWA6C7/vchquVJext6EjvqhjpB9ahvrgSkoutpxOxoSeUda/EXIZ4qg7sTqomflzFJuWh5PxWVKjRCIici6bA/sBAwY4Yh9ERGSluHRTdjXU1wMeSuvKooEyZ+yZsa8TWTZ0kQdKZ9mn1+KM/aFrGQCAw7EZWPTHBRQbjDhzMxsalRx9WgSVW1+asa86sM8qsO29AIBMJsMD3SLx4daLWH/iJgN7NyVVB5kD+wh/T9zXNQK/xiRizs8nsenFu6BRKWA0CpBz+gERkdNYVYp/48YNm5705s2bNdoMERFV72JyDgCgTbhtncaVPGNfZ8p2kbc1Y5+RV1Tj1z2XVNrr5pu/YvH9oeuQyYDPJnZDVKBXufUtzA30qsvY2/peRPd1NZXjH4pNR2IWz2S7I/GMfdl+HgvGdECIrwcup+Ri9k8nMeHLg2j+6h/46Ui8s7ZJRNTgWRXY9+zZE9OnT8fhw4crXaPT6fDVV1+hY8eOWLdund02SEREli6YA/u2Ngb2ap6xrzO5RSUoMVrfRR4AAr1Nxypq2jyvxGDEBXNgP6pzI+n2+SPbYniH8Aof09KcsY/PyLc4l3+7zDzzsQJv6zP2gOk8du9mgRAEYEMML/q7o7Qc0+cxxLf02E+AtxoLH+gEAPj9dBIOx5oqRbadS677DRIREQArS/HPnz+PhQsXYsSIEVCpVOjRowciIiKg0WiQmZmJc+fO4ezZs+jRowc+/PBDjBw50tH7JiJqsC4km4K3NuF+Nj2utHkez9g7mliGr1bKoVFZ16dW6opfwzP2cel5KCoxwkutwOKHu6JliA8CvFSY0rdppY8J8fGAr0aJnMISXE/Pr7QKJFNqBGhbxh4AHugWib9jM/DL0QQ8278Fy7XdjPh5FD+foqHtw/B0/+bYciYZnSK1+P10kjRakYiI6p5Vv20EBgbio48+QmJiIpYtW4bWrVsjLS0Nly9fBgA8+uijOHbsGP766y8G9UREDiQIQo0z9iqlKaASG++R42RJjfOs7yJf2zn2ZxNNF3zahvtCpZDjH0NbY2q/ZlW+vkwmk7L2V6o4Z19aim9bxh4ARneJgK+HEtfS8rCLo+/ciiAI0qjD2wN7AHj13nbYO3cQXhvVDgBwIyOfFUFERE5iU/M8jUaDcePGYdy4cY7aDxERVSElpwhZ+cWQy0rLqK3FcXd1pyZd5MXAKU9vQGGxARqV9Y0RgdLz9e0jbKvkaBHigxM3sqqcZZ8pNQK0PWPv46HEI72j8d+91/D1vlgMbhdm83OQc+RYeaQk3E8DT5UCBcUG3MjIR4sKRisSEZFj2TzHnoiInEfM1jcL9rY58JPG3RlZiu9omTbOsAcAP40SSnOZek1G3p0zZ+zbN9La9DjbMva2B/YAMLVvUyjkMhy8lo4zN3U1eg6yjxKDEZtPJyE1p/omjVnm3gqeKkWV/97I5bLSMXgsxycicgoG9kREbkRsjtbWxvP1QJlxdyzFdzhp1J2n9YGwTCar8cg7QRBKA/saZOwBWJWxr0kpPmAakTaqk6mh3/L9sTV6DrKPrWdv4bnVx7Fg09lq11Z2vr4izc0TFq6lVT1hgYiIHIOBPRGRG7lYw/P1AMfd1SWpFN/GLvKlI+9sC+xTcoqQnqeHXAa0CbPtsyFm7K+m5sJYSTVHbZrniabf3RwAsOlkIm5lF9b4eah24tJNGfVDV9MhCFVX74jn6635HDc3XyBiAz0iIudgYE9E5EYu1HCGPcAz9nUpq4Zn0gNrGNiL2foWIT7wVNt2RCMqwBMqhQyFxUYk6srPmi8xGJFTWAKg5hl7AOjUWIueTQNQYhTwI+edO41Ygp+ep8f19Pwq14qfQ2uOYDQ3l+IzsCcicg4G9kREbqLYYJTOQbdrZHspvprj7urM2UTTOfJwP41Njwv2Mc0KT8ut/vxzWTVtnAcASoUcTYNMQdnVCoKyrIJi6c9az5oH9gDw2J1NAAA/HL6BEl5gcoqyZ+uP38iscm0mS/GJiNxGjQL777//Hv369UNERASuX78OAFi8eDF+/fVXu26OiIhKxaXlQW8wwlutQKS/p82PV5lL8fUMqBwqLi0PR+IyIZcBwzuE2/TYMD9TYJ+ss61UvbRxnu2BPVB1Az2xcZ6fRgmlonb5gBEdwxHorUaSrhC7LqbW6rmoZsoG9seuVx3Y25KxF5vnpeXqoStzMYiIiOqGzf8PvWzZMrz88su49957kZWVBYPBAADw9/fH4sWL7b0/IiIyO28uw28d7gu53LrZ6GWplOaMPZvnOdT/jicAAO5qFYJwrW0Z+zBzhj/ZxjPotcnYA0Arc2B/JDaj3H1S4zwrsrbV8VAq8FD3xgCAVYeu1/r5yHapuWUz9llVrrUlY++rUSHU13RhKjaN5fhERHXN5sB+yZIl+Oqrr/Daa69BoSg9x9ejRw+cPn3arpsjIqJSN8xNr2o6I1rFcXcOZzQK+N8xU2A/3hzA2kK8EGBLc7ncohKpIVpNjmgAwL2dTR3rt51LRnyG5blrsYGafy3L8EWTekcDAPZeTsWNas54k/2VzdhfTM5GblFJpWuljL2VF3WkcvwqJiwQEZFj2BzYx8bGolu3buVu9/DwQF4er9ASETmK2JAtqIaZUxW74jvcwWvpSNQVwlejxLD2YTY/XszY38q2/oz9xeRsCIKpjF88o2+rtuF+uLtVMIwC8O1fcRb31bQRYGWaBHnj7lbBEARg/YmbdnlOsk6+vkQK5AO91TAKwMn4rErXZ5rn2Ada+bNnZ3wiIuexObBv1qwZYmJiyt2+efNmtG/f3h57IiKiCojnVv1qmDnlHHvH+8WcrR/bJQIalW3d6YHSZnvJ2YXVjiIT1fZ8vegp8zi6H4/csDgjLY3uq0VH/NuN7GiqENh7mefs65KYrfdUKdC3RRAA4HgV5+xtHdsodcZnAz0iojpnc2D/yiuv4Pnnn8ePP/4IQRBw+PBhvPvuu3j11VfxyiuvOGKPRESE0sC+pp3JOe7O8f68kAIAeKBbZI0eH2punqcvMUqZ8urU9ny9qH+rYLQO80Ge3oC1h29It98wl+YH1bAaoMLXah0MAIiJz2KjtTokBvYhvh7o3iQAQNWd8W05Yw+ULcVnxp6IqK7ZHNg/8cQTePPNNzF37lzk5+dj0qRJ+OKLL/DZZ59h4sSJjtgjERGh9oE9x905VonBKP2MmtewD4KHUiFlxm/lWHfO/qyUsdfW6DVFMpkMT91lytqvPBCHEoMRBqOArWdvAQDuahVcq+cvq3GAF5qHeMNgFHDwaprdnpeqVjawvyNaDOyzKqwOMRqF0saJVpbii/0/YtPyYGAvDyKiOlWjuTXTp0/H9evXkZKSguTkZMTHx2PatGn23hsREZXBjL1ryyksbULmq1HW+HmkzvhWjLwrMRhxwTwtobYZewAY2zUCAV4qJJrH0R2OzUBabhG0nir0a2G/wB4A+rcKAQDsucTAvq6IHfFDfDzQrpEflHIZdAXFSKzgs5ZTWCIF5/5WHsNoHOAFtVKOohIjbmYW2G/jRERUrVoNpA0ODkZoaKi99kJERFUQA3trf8m+HZvnOVZ2oenn46VWSBdRasKWzvjX0vKgLzHCW61Ak0CvGr+mSKNS4KEeUQBM4+j+OJ0EABjeIQxqZe1m2N9uQGtTYL/3UqrV/QSodspm7NVKuTR7/tKtnHJrM8xl+D4eSngoresXoZDLpHP2V1LLPycRETmOzSmFbt26QSYrPz9ZJpNBo9GgZcuWmDp1KgYNGmSXDRIRkUmtM/bmwEzPwN4hsgtMGXs/Te2azIXb0BlfbJzXrpEf5PLy/99cE5N6ReO/e69h7+VU+HiYfk0Y1TnCLs9dVu/mgVAr5LiZVYBraXk1HuNI1isb2ANA6zBfXE7JxeVbORjUxjJRUzrqzrbPc4tQH1xIzsGVlFzc09b2yRBERFQzNl9+HzFiBK5duwZvb28MGjQIAwcOhI+PD65evYqePXsiKSkJQ4YMwa+//uqI/RIRNUjFBiPy9QYANQ/sxcdl5OqZIXUAMWPv51nzMnwACC3TGb869mqcV1bT4NJxdDmFJfD3Ukkd1O3JS61Ej6amc977LrE7fl0QA/tQc2DfKsx0MeXSrfJd7DPNgb21o+5ELc0XaK6msIEeEVFdsjmwT0tLw+zZs7Fv3z58/PHH+OSTT7B3717MmTMHeXl52LZtG15//XW8/fbbjtgvEVGDVLZzuG8NM8KR/p4AgDy9gZ3IHSC7lhUVIiljb8UZe3uNurvdo72bSH8e0SG8VkcLqtK/tXjOnoF9XZDO2JfJ2APA5SpK8QOs7IgvahFqCuyvpHLkHRFRXbL5/6l/+uknPPLII+VunzhxIn766ScAwCOPPIKLFy/WfndERASgNLD31SihqGHJtUalQLCP6Zf0BDa2sjspY1/bUnytKeiqLmMvCIJDMvYAMKRdKCLMZ/3HdrF/Gb5oYBtTYH/gajoKzBUptxMEAa9vOI2ZP5yAvoTHSGqjfCm+KQi/nJIL421d7Gubsb+SksvKICKiOmRzYK/RaHDgwIFytx84cAAajemXAKPRCA+P2s+7LSkpweuvv45mzZrB09MTzZs3x7///W8YjaX/xy4IAhYsWICIiAh4enpi4MCBOHv2rMXzFBUV4cUXX0RwcDC8vb0xduxYJCQk1Hp/RER1RZxpXtPGeaLIAFODNQb29idefPGrZcY+1Ne6M/aJukJk5OmhkMukzKu9KBVyfDetF76c3B19W9q3G35ZbcJ80TjAE0UlRuy/UnF3/JMJOqw6dAMbTyZi6Z+XHbaX+s5oFJB2W8a+SZA3VAoZ8vUG3Myy/DdBGnVnY8a+eYg3ZDLTfw9puXo77JyIiKxhc2D/4osv4tlnn8VLL72EVatWYfXq1XjppZfw3HPPYebMmQCArVu3olu3brXe3Pvvv48vvvgCS5cuxfnz5/HBBx/gww8/xJIlS6Q1H3zwAT755BMsXboUR44cQXh4OIYOHYqcnNKyslmzZmH9+vVYu3Yt9u/fj9zcXIwePRoGQ8XZASIiV2OvMu/G5nL823+Jp9orbZ5XuzP2Ylf89LyiKicYxNzIAgC0a+QLjcq6ruW2aBnqi+Edwu3+vGXJZDIMaWdqsLbj3K0K1/x45Ib05//svoozN3UO3VN9pSsoRrHBlEEP8jYF9ipFaWf8yymW5fhSxt7GwF6jUiDKfAHxKsvxiYjqjM2B/euvv46vvvoKhw8fxsyZM/Hiiy/i8OHD+Oqrr/Daa68BAJ599lls2rSp1ps7ePAg7rvvPowaNQpNmzbF+PHjMWzYMBw9ehSAKVu/ePFivPbaaxg3bhw6duyIlStXIj8/H2vWrAEA6HQ6LF++HB9//DGGDBmCbt26YdWqVTh9+jR27NhR6z0SEdWF2nbEF0UGmAN7ZuztrrR5Xu1+RoFeaqgUMggCkJJTedb+xI1MAEC3qIBavZ6ziYH9zgsp5crB84pKsDEmEQDQNtwXBqOA2T+dRFEJL8zbSjxfH+Clshhd2Mpc7XF7Az3pjL2NpfgA0DK0tByfiIjqhk2BfUlJCd566y30798fBw8eREZGBjIyMnDw4EFMmjRJWufp6SmV5dfGXXfdhZ07d+LSpUsAgJMnT2L//v249957AQCxsbFITk7GsGHDpMd4eHhgwIAB0nGBY8eOobi42GJNREQEOnbsWOGRAlFRURGys7MtvoiInMVegX1jc2CfkJlf6z2RJbGqorZn7OVyWZly/MrP2Z+IzwIAdIv2r9XrOVuvZoHw9VAiLbcIJxOyLO77/VQS8vQGNAv2xuqneiPYR42Lt3Lw28kk52zWjd1+vl7UOlQM7CvO2AfU4PhPixDzLHsG9kREdcamwF6pVOLDDz+ssxL2f/7zn3jkkUfQtm1bqFQqdOvWDbNmzZKa9yUnJwMAwsIs56SGhYVJ9yUnJ0OtViMgIKDSNRVZtGgRtFqt9BUVFWXPt0ZEZBO7ZexZiu8w2YWmUvza/owAIMzPFHxV1hlfX2LEaXNJerdo987Yq5Vy9Dc30dtx3rIcf625DP/hnlEI8vHA/V0jAQBnElmOb6tKA3uxgV5lGXsbS/GB0ow9S/GJiOqOzaX4Q4YMwe7dux2wlfJ+/PFHrFq1CmvWrMHx48excuVKfPTRR1i5cqXFOpnMskO0IAjlbrtddWvmz58PnU4nfcXHx9f8jRAR1ZLYPK+2Zd5SKT4De7uTMva1nGMPlJ6zr6wz/vmkbOhLjPD3UqFpkFetX8/ZhrQLBQDsOJci3XYuMRvHb2RBKZfhwTsaAwBah1ecXabqSYG9j2VgL5biX7mtM35Nz9gDZQJ7ZuyJiOqMzb99jBw5EvPnz8eZM2fQvXt3eHt7W9w/duxYu23ulVdewbx58zBx4kQAQKdOnXD9+nUsWrQIU6ZMQXi4qalPcnIyGjVqJD0uJSVFyuKHh4dDr9cjMzPTImufkpKCvn37VvraHh4edunsT0RkD2LG3t/T9l+yyxIz9ln5xcgtKoGPR+2DUDLR2akUHwDC/KrujF96vt6/2gvZ7mBQm1Ao5DJcvJWDXRdTMKBVCBZsNE24Gd4xvNzc9dvPg1P1bp9hL2oa5AW1Qo6CYlNn/KhALxiMArLMn+eanLFvYR55l6grRF5RCbz57wwRkcPZnLF/7rnncOvWLXzyySd49NFHcf/990tfDzzwgF03l5+fD7nccosKhUIad9esWTOEh4dj+/bt0v16vR579uyRgvbu3btDpVJZrElKSsKZM2eqDOyJiFyJvUrxfTUq6TnYQM++7NU8Dygb2FecsS89X+/eZfgify81Jt/ZBAAw56eT+Hz3FRyOy4CnSoH5I9tK61qZM8GpOUXIyOMoNVukmD9Ltwf2SoUczc1n4t/bcgEp2YX4z64rEEfQ12TEpr+XGsE+pgsCPGdPRFQ3bA7sjUZjpV/2Pns/ZswYvPvuu/j9998RFxeH9evX45NPPpEuIMhkMsyaNQsLFy7E+vXrcebMGUydOhVeXl5SMz+tVotp06Zh9uzZ2LlzJ06cOIHHHnsMnTp1wpAhQ+y6XyIiR7HXuDug7Dl7NtCzp9Jxd7X/GTUyl+JX1uTwhHnUnbs3zitr3si2aBvui/Q8PT7aZmqaO3tYazQOKD1q4O2hRFSg6fPLcnzbJJn7NYgXjcp6sl8zyGSmZoW9F+3EJ9tN3/9HekVDpbD5V0UAQPsILQDgFMcTEhHViZr9a11HlixZgvHjx2PGjBlo164d5syZg2eeeQZvv/22tGbu3LmYNWsWZsyYgR49euDmzZvYtm0bfH19pTWffvop7r//fkyYMAH9+vWDl5cXNm3aBIXC/nN/iYgcwV4Ze4Aj7xxBX2JEQbHp4rY9ztiLpcxXU/PK3ZeWW4QbGfmQyYAuUf61fi1XoVEpsOSRbtCoTL+adIjww9S+TcutaxPGc/Y1EZtm+iw1DfIud9+EnlH433N90SbMF4JgOle/+OGuWPhAxxq/XjfzZ1M8NkJERI5Vo98+8vLysGfPHty4cQN6vWUp3MyZM+2yMQDw9fXF4sWLsXjx4krXyGQyLFiwAAsWLKh0jUajwZIlS7BkyRK77Y2IqC5lFZj+rbVnxj6BDfTsJsdchg+YjjvUllganZGnR0ae3qKBWYw5W98yxMcu1QGupFWYLz5+qCu+3n8Ni8Z1grKCbHGrMF/sOJ/iFoH9vsup+Ocvp/DRhC7o2yLYafvILSpBirl5XtPg8oE9ANwRHYBNL96Fv66moWtj/xp1wy+rq7maRPy8EhGRY9kc2J84cQL33nsv8vPzkZeXh8DAQKSlpcHLywuhoaF2DeyJiMhEap5Xg/OutyudZc/A3l7EUXe+Hkoo5LVvZuelViLS3xM3swpwNTUXgd6B0n2XUkwBbcdIba1fxxWN6twIozo3qvR+KWOf7Ppnt787eB2JukL8fDTBqYF9nDlbH+yjrvLioFopx6A2oXZ5za6N/QEA19LykJmnr/WFAiIiqprNpfj/+Mc/MGbMGGRkZMDT0xOHDh3C9evX0b17d3z00UeO2CMRUYNWVGJAYbGpaag9GrM1Zim+3ZWOurNfBl0cGXZ787HraaZz9xWVVDcEYmf8i7dyIAhCNaudRxAEHI3LAACcTSx/znzz6ST0eGc79l1OdfhexHnyzYN9HP5aogBvNZqbqwNiErLq7HWJiBoqmwP7mJgYzJ49GwqFAgqFAkVFRYiKisIHH3yAV1991RF7JCJq0MRsvUxmygjXVqS/qRlZQ5pln5Wvx9f7riElp+Iu87Ul/ox8NfYb6yWes789sI9LN5+VDnb/+fU10TzEGwq5DLqCYqm83BVdTc1DZn6x9OfCYssGwz8ejUdarh4fmxsFOpJ4vr5ZJWX4jiKW459gOT4RkcPZHNirVCppZm5YWBhu3LgBwNR9XvwzERHZT3aZ+ehyO5R5i83zUnOKygUb9VFhsQFTvz2Cd34/j7c2nnPIa9hz1J2o0ox9uilj36SBZuw1KgWaBJkuarjyOXsxWw8ABqOAC8mlexUEASfNIwtj4rNwOsGxneOlwD6kbj8z4jhGNtAjInI8mwP7bt264ejRowCAQYMG4V//+hdWr16NWbNmoVOnTnbfIBFRQ5eVb7+O+AAQ4KWCl9o0FaS+n7M3GgXM/ukkYsxB1NazydI8b3sSR93Z62cEVBzYF+gNSDbvv0lgw8zYA6Xn7C8mu25gf7hMYA9YluNfT8+XsvkA8N3BOIfuxVkZe7Ezfkx8FoxG1z02QURUH9gc2C9cuBCNGpma2rz99tsICgrCc889h5SUFPz3v/+1+waJiBo6ezbOA0zTRNo38gOAOjnf60yf7byM308nQaWQITrQCyVGAT8eibf760gZezt2qRcD+5tZBSjQmyorbmTkm19HabfPgztq7QYj747GmbLU4n9rZxOzpftOms+ciz/DjScTkZlnOWXIXgRBQKx5bGLzOg7s24b7QqOSI6ewBNfSXL/ZIRGRO7M5sO/RowcGDRoEAAgJCcEff/yB7OxsHD9+HF26dLH7BomIGjp7zrAX3dvJdIF208lEuz2nq0nWFWLZ7qsAgEXjOuMfQ1sBAH44fAMGO2cPS5vn2e+MfaC3GgHmwE9sflZ6vt5bOhbXEIkTAfZdTrP7z9IebmUX4kZGPuQyYHKfJgAsA3vxzPn9XSPRvpEfikqM+PmY/S84AUBarh45RSWQyYDooLqt8lAq5Ohs7o5/nOfsiYgcyubAnoiI6pbOAR3XR3VuBJnM9Mt2Qma+3Z7XlXyx5yr0BiN6NQ3Eg3dEYmTHRgjwUiFRV4hdF1Ls+lqOyNgDpVl7MbC/bg7sG+r5etHdrYKh9VQhSVeIA1fTnL2dcsRsfdtwP/RuZhpVeCEpGyUG03QL8WhI1yh/PG4O/FcduuGQcvVr5s9O4wBPeCgVdn/+6nQzN9A7EptR9UIiIqoVmwP7W7duYfLkyYiIiIBSqZS644tfRERkX47I2If5aaSA4/dTSXZ7XleRkl2IHw6bGrrOHNwKMpkMGpUCD/WIAgCsPBhn11FpOvMZe3tefAHKn7MXG+c1rePMq6vRqBS4r2sEAOCXYwlO3k15R8zn63s2DUDTIG94qxUoKjHiamoe9CVGnDNn77tG+eO+rpHw0yhxIyMfey7Z/2iMeL6+LkfdldWneRAA4K8raS49npCIyN3ZHNhPnToVx48fxxtvvIFffvkF69ats/giIiL7ckRgDwCjO5sCo9/qYWD/xZ5rKCoxonuTAPRrGSTd/mjvaCjkMuy7nGbXgLB0coH9SvGB0pF3pRn7ht0Rv6zx3RsDALacSZYqJlzF0eumwL5H00DI5TK0jxDP2etwPikbeoMR/l4qNAnygqe69IKTI5roOatxnqh3syCoFXIk6gqlvRARkf3Z/BvI/v37sW/fPnTt2tUB2yEiotvpzN2z/e0c2I/sGI43N57F6Zs6xKXloamTfvG3t8w8PVb/fR1AabZe1CTIGy8PbY0Pt17EmxvPonuTADQPqX0mUwws7X3x5faMvXTGvoFn7AGgU6QWrcN8cOlWLn47mYRJvaOdvSUApvGK55NMTf3uaGIa99YhQosjcZk4m5iNnEJTdUeXxv7SZ/OxO5tg+f5Y7L6Uihvp+XY9C39NzNjX8ag7kadage5NAnDwWjr2X0mzy39vRERUns0Z+6ioKJZSERHVIUdl7IN8PNC3hSmb/dup+tNEb/u5WygqMaJtuC/6twoud/+zA1rgzuaByNcbMGP1cfx0NB4Xk3OQry+p8WtmO6APAlCasY9Ny4MuvxiJWabxhMzYm6Y7iFl7RzWeq4lzSdkwGAUE+6gRodUAgJSx33ImGeuOmypFuppHwQGmbHr/1iEQBEgXpezF2Rl7ALjL/N/h/suu1w+BiKi+sDmwX7x4MebNm4e4uDgHbIeIiG7nqMAeAMZ0MZXjbzpZf8rxN58xvZd7OzWqsHO8Qi7Dpw93hb+XCheSczD3l1MYvngv2v9rKzov2Io+i3aiz6KdmPDlQatLvLPNWVh7N8+L9PdEkyAvFBsELNp8HkYB8FYrEOyjtuvruKv7u0VCKZfhxI0s/Bpz09nbAQCcTjDNq+8UqZU+f72bBUIpl+FmVgFOmu/vam4qJ3r8TlMTvR+PxkvjDWur2GCUGi46NbBvaQrsD15NlxoIEhGRfVkV2AcEBCAwMBCBgYGYOHEidu/ejRYtWsDX11e6XfwiIiL7kjquOyCwH94+HCqFDBdv5eCyC88Et1Z2YTH2XzFlBUd2DK90XSOtJ355ti+e6d8cvZoFwsdDaX58CZJ0hUjSFeJwbAZ++PuGda/rgHF3ACCXy/D8wJYAgLVHTFnpJkENe9RdWaG+Gjw/yPT9eW39GdxId/6EB3FGvTjmDTD9zHa8PACvDG+DLo216N0sEHc2C7J43KC2oYgO9EJWfrHdztofjctEsUFAkLcaEVpPuzxnTXSM1ELrqUJOUYl0YYOIiOzLqt9AFi9e7OBtEBFRZcQzub52bswGAFovFQa0DsGO8ynYdCoJLw/1tftr1KVdF1JQbBDQIsQbrcKqfi8tQ30w/952AABBEJBTVIJbukIUlRix93IqPthyESsOxOHJu5pBpaj8OnhhsQFFJaYspCMuvjxwRySW7LqM+AyxDJ/n68t68Z6WOHA1DUfiMvHi2hP45dk+Vf68HE3M2HdurLW4vWmwN54f1FK6EHE7hVyGlwa3wuyfT2LZnqt4pHd0rStAdl8yjXXs3zoEcrnzLgYp5DL0axmEP04n468raehu7j1ARET2Y9VviVOmTHH0PoiIqBKlgb39g0bA1B1/x/kU/HYyEf8Y0sqts8GbTycDAEZ2bGTT42QyGfw0KimQahXmg2/2xyFJV4g/Tifhvq6RlT5WrKiQyQAftf0vvqgUcjw/sCXmrTsNgOfrb6dUyLF4YjeMXLwXJ+OzsO54Ah7uWbtGel/suYoQHw88aD7Db628ohJcMU8w6BSprWZ1efd3i8SyPVdxJSUXy/fF4h9DW1v1uFWHrkNXUIznBrSwCOD3XDSNzxvYJsTmvdjbXS1D8MfpZOy/nIaZg1s5eztERPWOzZe0//jjD2zdurXc7du2bcPmzZvtsikiIjIxGAXkFjkuYw8AQ9qHwUMpx7W0PJxLynbIa9SFfH2JlKEcUUUZvjU8lApM6WM68/zVvmtVNo3NLig9X++orOi4Oxoj0t9USu2s7uauLNLfEzPMmfCfj9ZujOHV1Fy8t/kC5vxyEifjs2x67NnEbAgCEO6nQaifxubXVshlmG0O5r/edw0ZefpqH3MtNRevbziDD7dexEfbLkq3J+kKcCE5BzIZcHcr5wf2YqPOmIQs6Et4zp6IyN5sDuznzZsHg6F8Uxej0Yh58+bZZVNERGQiBvWA4wJ7Hw8l7mkbCsC9m+jtvZSKwmIjogI90cHchbw2Hr2zCTQqOc7czMahaxmVrivtgeCYnw8AqJVyfPFYdzzTvznGmhsekqVx3SIhlwFHr2eWm5euLzEiNafIqueJTTU9VhCABZvOwmi0fhLQKfP5+k6Nbc/Wi0Z0DEenSC3y9Ab8cLj6Hg9ryvSB+Hz3Vfx01NSLQczWd2nsj0Bv5zdbbBLkhQAvFfQlRpx34wuIRESuyubA/vLly2jfvn2529u2bYsrV67YZVNERGSSYw4a1Uo5PJQKh72O2B3/t1OJbjvS9EKyqflfvxbBdjlOEOitxoN3mEqxVx2qfASZGDAGeDk2eOrUWIv597aDRuW4z4E7C/XTYEBrU2b6l9vG372+4TTuXLQTR+Mqv0AjiksvvShw4kYW1p+outt+bFoeXv4pBseuZ+CU+Xx9l1oE9jKZDA/3jAIA7LmUWuXawmIDfj5mqlAQO8+/uu40Np9Owm4XKsMHTO+ri3nEn9hgkIiI7MfmwF6r1eLatWvlbr9y5Qq8vVkeSERkT9L5eg/HZYMBYFCbUHipFUjILECMjeXHriLTXLYc7ONht+d8tLepHH/buWSk51ac8RWnCYgz58l5HuphCojXHb8JgznTXlhswKaTSTAYhSov0Iiumzvrh/iaPkeLNl+wqJy53ZKdl7Hu+E088t+/sfui6ShIpzId8Wuiv7l0/vj1TOniXkV+P5UEXUExIv09seKJnrivawRKjAKeW30cOy/cAgAMbBNaq73YU1dzYB9zI8up+yAiqo9sDuzHjh2LWbNm4erVq9JtV65cwezZszF27Fi7bo6IqKFzZEf8sjzVCgxtHwYA+O2Ue5bjZ+SbAqAAO5Ydt4/wQ+fGWhQbhEozt5dumZqltQpjYO9sg9uFQuupQpKuEAeumsYeHrqWjoJi0xHCrWdvIa+KIB0ozdi/NLgVogO9kJZbhJ3nb1W4trDYgO3nTPfpDUZkm/97rUnjvLKig7zQNMgLJUYBB6+mV7pu1d+mCxWTekdDqZDj44e6SL0hig0CArxUtd6LPYkZe3e9eEhE5MpsDuw//PBDeHt7o23btmjWrBmaNWuGdu3aISgoCB999JEj9khE1GDlFpmCVUd1xC9rdGdTOf7vp5JsOlfsKsSMfaC3fb9XYln0D4dvVHhM4ZI5Y9861L1HBdYHHkoF7utq+hyvPWwqx991IUW6v6DYgK1nk6t8DjFj3zrMFyPNTRj/upJW4dp9l9OQU1SCRloNnhnQHADQJszXLmfa+5uPFey7XPFrn07Q4cSNLKgUMkwwVyooFXK8dV9HLBjTHmqFHOO7N4bCiWPubtfVXMlwLS0PuvzKKxGIiMh2NSrFP3DgAH7//XfMmDEDs2fPxs6dO/Hnn3/C39/fAVskImq46ipjDwD9WwfDV6NEcnYhjl7PdPjr2ZvYQdzeZ93HdomAp0qBq6l5OHbb96XEYMQ1c7O11mEM7F3BpN6mUXebzyQhLi0PO82BvZgtrurMvL7EiIRMU2DfNMgLfc3n1v+6kl7hRZ3fTyUCAO7t1AjzR7bDhuf7YcWTPe3yPsRO9nsvlz9nLwgC3v7tHADTBTnx2IBoar9mOLVgGF4bVb4nkjMFeKvRJMgLAM/ZExHZm82BPWBqgDJs2DC88soreOGFF9C5c2d774uIiACptLcuAnsPpQLDO5gylJtOJjr89ewtM1/M2Ns3sPfVqDC6cyMAwA+HLZuy3cjIh95ghKdKgcYBnnZ9XaqZtuF+GNQmBEYBmLfuFBIyC6BWyvH+g50AmLLvt7ILK3zszawCGAXAU6VAiK8HejYNgEohw82sAtzIyLdYW7YM/95Ops9H1yh/NNLa53PQp0UQlHIZrqfn43q6ZZf/TaeScDguAxqVHK8Mb1Ph4121yWJXluMTETmEzYH9+++/jx9//FH6+4QJExAUFITIyEicPHnSrpsjImroxMZZdVGKD0AKYDefSUKJwb1mTTsqYw8AE3uZssAbT95EfJkATzxf3zLUx2Ez7Ml24kx7cUzhnc2D0DbcD92bBMAoABtjKr5wJZ6vbxLkBZlMBi+1Et2iAgCYsvZl7bmUijy9ARFaDbqZg1V78vFQonsT02vvLdMdP19fgoW/nwcAPD+wJSL83euCEgN7IiLHsDmw//LLLxEVZTrLtX37dmzfvh2bN2/GyJEj8corr9h9g0REDVldluIDQL+WwQjwUiEtV1/l7HZXU6A3oKjEdCHCETO7uzcJwF0tg1FsEPDZzsvS7WJHfDbOcy09mwaihzkoBoB7zCPfxpgvXFVU3g4A19NMgX3ToNIpP31bBgEA/rpqedZdbDJ5b6dGDruoI56z/zUmESUGIwRBwMI/ziM5uxBRgZ6Y3r+5Q17XkaSRd/FZbjtak4jIFdkc2CclJUmB/W+//YYJEyZg2LBhmDt3Lo4cOWL3DRIRNWR1nbFXKeQY0dEU/Px2yn3K8TPMZfhqhRxeaseUIM8xlzyvO56AKymmgP5Siiljz/P1rue5gS2kP9/T1jTxoVu0Kdg/m5hdYVAZZ26c1yTYS7qtn/mc/cGr6VJTydScIqkJ3+guEQ7Yvcm9nRpBrZTj6PVMvPLLKXy6/RJWHboBAFgwpoPLlttXpX0jP6gUMqTn6ZGQWeDs7RAR1Rs2B/YBAQGIjzedMdyyZQuGDBkCwNTIxWAw2Hd3REQNnJix96ujjD0AjOkiluMnQ1/iHuX4Ykf8AG8VZDLHZE+7RvljaPswGAXg0+2mrL2YsW/NjL3LuadtKKbf3cw0ts7csK1NuC+Uchky8vRI1JU/Zy+eZS+bse/S2B9eagUy8vS4kGz6eX9/6Dr0JUZ0jfJHl8aOGyfXLNgbn0+6A0q5DOtP3MT//XkFAPDW2A4Y3C7MYa/rSBqVAu0jTN+z25tREhFRzdkc2I8bNw6TJk3C0KFDkZ6ejpEjRwIAYmJi0LJlS7tvkIioIavrUnwA6N0sCCG+HtAVFFc65sueBEGo9Xl+R56vL2v2sNaQyYDfTyfhwJU0qSN+K466czkymQyvjWqPfwxtLd2mUSnQylxdceamrtxjxFF3TQJLM/ZqpRw9mwYCAHacv4XCYgNWHTLNj59+d3OHXUgSDWkfho8ndIH4MnOGtcaUvk0d+pqO1t1cOcHAnojIfmwO7D/99FO88MILaN++PbZv3w4fH1OWIikpCTNmzLD7BomIGrK6LsUHAIVchlHmLt+O7I6vLzFi5YE49Hx3J4Yv3ov03KIaP5ejOuLfrm24Hyaa59rPWHNc6ogf6WYNzBqyjhF+AICztwX2BqOA+EyxFN/b4r4h7U3Z8cU7LmHmDyeQkadHpL8nhneom6z5fV0jsfqp3lj26B14fpD7J1F6NDUF9u44VpOIyFXZnAJSqVSYM2dOudtnzZplj/0QEVEZzsjYA6bu+CsOxGHbOVOG0t5neeMz8vHY8r+lDGlabhFmrj2B757sDUUNGpFJGXsHB/YA8Oq97bDnYqpUyt0qjB3x3UnHSC1+PpaAM4nZFrcnZhWg2CBArZSjkZ/G4r5JvaJxJkGHH4/GY5t5xN0T/ZpCqajR1OAa6dsiuM5ey9HExoYXk7ORU1hcpxcuiYjqK6t+U9y4cSNGjhwJlUqFjRs3Vrl27NixdtkYERGVDezr9hffO6IDEKHVIFFXiF0XUjDSnMG3hcEoILewBFqv8nt/+7dzuJ6ejxBfD0zp0wSf776Kv66k4+NtFzF3RFubX0s8Yx/o4FJ8wPSzeH98Z0xefhgAy/DdTcdIU8b+9lJ88SJTdKBXuQs1CrkMi8Z1gqdagRUH4uCrUeJhc+UG2S7UT4OoQE/EZxTgxI0sqfs/ERHVnFWB/f3334/k5GSEhobi/vvvr3SdTCZjAz0iIjvKNpfi+3jUbcZeLpfhvm6RWLb7Kj7dcQlD24dZlZ3Mytdj2e6r2HQyEbdyimAwCrirZTCWTuoGf3PQfTg2A9vO3YJCLsMP03ujZagvmgR548UfTuDz3VdxT9tQ9DCfabaW2BW/LjL2AHB3qxBM7dsUKw7EoZ95HBq5h3aN/CCTASk5RUjJLkSoOTsfKzXO86rwcXK5DG+OaY+eTQPROMCTWeZa6h4dgPiMAhy7nsnAnojIDqyqITMajQgNDZX+XNkXg3oiIvsxGgXkFtV9V3zRM/2bI8BLhUu3cqVmYZUpNhjx5Z6ruPuDXfhy7zUk6gphMI8G238lDeM+P4BrqbkwGgW8+/s5AMDDPaPQ0pztHtMlAg90iwRgmtltq8w80wWQwAqqAxzlzTHtsW/uIGnf5B681Eq0CDH1Bzpbphz/hPm8d9twv0ofK5PJMKpzI2kWO9Vcd/PFOzbQIyKyj7o7HEZERDbJ05dAHLXtjOygv5damt3+yfZLlTa3i4nPwpgl+7Fo8wXkFJagbbgvvpzcHX+/Ohi/z7wLkf6euJaWh3s+3oO7P9iFkwk6eKsVmDWklcXzjDXPA995/laFM8arUpdn7EUymQxRgV4O74pO9tcp0jRu7XSZcvy/YzMAAL2b21YtQjUjnrM/cSOz1lMxiIjIxuZ5RqMRK1aswLp16xAXFweZTIZmzZph/PjxmDx5Mn+5ISKyI/F8vVIug0blnOuwE3tGY83fN3A2MRtjl/6F5iHeCPPTINxPA5kM2Hk+BeeSTFnPAC8VXr23HR68o7F0RjnMT4P1z/fFSz/E4OC1dNzMKgAAPDugBUJ9LRuU9WkRBE+VAom6QpxLykaHCOvng4td8R097o7qhw4Rflh/4qZ0zj4+Ix83swqglMvQ3RxwkmO1DvOFr4cSOUUluHgrx6b/3omIqDyrA3tBEDB27Fj88ccf6NKlCzp16gRBEHD+/HlMnToV69atw4YNGxy4VSKihqVsR3xnXThVyGX4930dMXn537iZVSAF5mXJZaZxXK+PaocgH49y94f6avDD03ciM0+PkwlZyMzXY0zniHLrNCoF7m4VjG3nbmHHuZQaBfaOHndH9UPHMhl7QRBw6Fo6AKBzYy281HV/7KUhUshl6Brtj32X03DseiYDeyKiWrL6/71WrFiBvXv3YufOnRg0aJDFfX/++Sfuv/9+fPfdd3j88cftvkkioobIGTPsK9K9SQD2vDIIF5NzkJxdiFvZhUjSFSCvyIA+zYMwpH2YVQF1gLcaA9uEVrlmSLswbDt3Czsv3MJLt5XqV0YQBOmMfV2W4pP76hiphUYlR5KuEH/HZpQpw2cjxLrUu1kg9l1Ow/7LaXi8T1Nnb4eIyK1ZHdj/8MMPePXVV8sF9QBwzz33YN68eVi9ejUDeyIiO3HWDPuKhPh6IMS3fDbe3ga1DYVMBpxK0CFZV4hwrabax+TpDdCbz+jWxbg7cn8+Hko8eEdjrP77Br7eF4sLyabjJL2b8Xx9XerfOgQfbbuEv66kQV9ihFrJ1k9ERDVl9b+gp06dwogRIyq9f+TIkTh58qRdNlXWzZs38dhjjyEoKAheXl7o2rUrjh07Jt0vCAIWLFiAiIgIeHp6YuDAgTh79qzFcxQVFeHFF19EcHAwvL29MXbsWCQkJNh9r0RE9pQtZeydH9jXlRBfD3Q1dxzfeeGWdPv2c7cw5+eT2HMpFUajZWM9cYa9RiWHp1pRZ3sl9/bkXc0AADvO30JCZgEUcpnNYxapdjpGaBHso0ae3sDu+EREtWR1YJ+RkYGwsLBK7w8LC0Nmpn3/Uc7MzES/fv2gUqmwefNmnDt3Dh9//DH8/f2lNR988AE++eQTLF26FEeOHEF4eDiGDh2KnJwcac2sWbOwfv16rF27Fvv370dubi5Gjx7N8XxE5NJKM/YNa172kHam/6/5bMdlXEnJwdazyXh21TH8ciwBU745jCGf7MGRuAxpvdgRn9l6skWLEB8MaVd6NKRjpBY+Hg3nIporkMtl6N/KNMN+96UUJ++GiMi9WR3YGwwGKJWV/x+eQqFASUmJXTYlev/99xEVFYVvv/0WvXr1QtOmTTF48GC0aNECgClbv3jxYrz22msYN24cOnbsiJUrVyI/Px9r1qwBAOh0Oixfvhwff/wxhgwZgm7dumHVqlU4ffo0duzYYdf9EhHZkyuV4telx3o3QZswX6TkFOGhLw7ixTUnYDAK6BbtD18PJa6l5eGFNcelioaM/LofdUf1w7S7mkt/vpNl+E4xoI0psN9zMdXJOyEicm82dcWfOnUqPDwqPmNZVFTxfOPa2LhxI4YPH46HHnoIe/bsQWRkJGbMmIHp06cDAGJjY5GcnIxhw4ZJj/Hw8MCAAQNw4MABPPPMMzh27BiKi4st1kRERKBjx444cOAAhg8fXun7KfuesrOz7f7+iIiqIjbP82tgGXutlwprn74Tj39zWJozPqJDOJZO6oaCYgPGLNmPuPR8fLz1It66r6NUis9Rd2SrO5sHolu0P07cyMKgtlU3diTHuLtVCGQy4EJyDpJ0BWik9XT2loiI3JLVGfspU6YgNDQUWq22wq/Q0FC7N867du0ali1bhlatWmHr1q149tlnMXPmTHz33XcAgOTkZAAod0QgLCxMui85ORlqtRoBAQGVrqnIokWLLN5fVFSUPd8aEVG1cosaZsYeMGXfV0/vjbFdIjCxZxQ+e6QrlAo5fDUqvPtAJwDAd4euIyY+SyrFZ8aebCWTyfDNlJ7433N9cCc74jtFoLcaXRr7A2DWnoioNqz+bfHbb7915D4qZDQa0aNHDyxcuBAA0K1bN5w9exbLli2zuIhw+3xnQRCqnflc3Zr58+fj5Zdflv6enZ3N4J6I6lRDLcUX+WlU+L9HupW7vV/LYIzrFol1J25i3v9O4a6WwQCAQK+GVdlA9hHgrUZ3b5bhO9PANiGIic/C7oupmNgr2tnbISJySy49V6RRo0Zo3769xW3t2rXDjRs3AADh4eEAUC7znpKSImXxw8PDodfryzX2K7umIh4eHvDz87P4IiKqS2Ipvo8HA9bbvTaqHQK91biQnIPvDl4HwIw9kbsSG2b+eSEFybpCJ++GiMg9uXRg369fP1y8eNHitkuXLqFJkyYAgGbNmiE8PBzbt2+X7tfr9dizZw/69u0LAOjevTtUKpXFmqSkJJw5c0ZaQ0TkirIbeMa+KkE+HljySDfIZSidYc/AnsgtdYzUolfTQOgNRny175qzt0NE5JZcOrD/xz/+gUOHDmHhwoW4cuUK1qxZg//+9794/vnnAZhK8GfNmoWFCxdi/fr1OHPmDKZOnQovLy9MmjQJAKDVajFt2jTMnj0bO3fuxIkTJ/DYY4+hU6dOGDJkiDPfHhFRlRp6KX51+rUMxivD20p/Z/M8Ivf1/D0tAQCr/76O9Fz7N2QmIqrvXPq3xZ49e2L9+vWYP38+/v3vf6NZs2ZYvHgxHn30UWnN3LlzUVBQgBkzZiAzMxO9e/fGtm3b4OvrK6359NNPoVQqMWHCBBQUFGDw4MFYsWIFFAqFM94WEZFVxFL8hjbH3hbPDmiO2LRc7Difgu5NAqp/ABG5pP6tgtG5sRanEnT45q9Yi4t2RERUPZkgCIKzN+EOsrOzodVqodPpeN6eiOpEl7e2QVdQjO3/6I9WYb7VP6ABMxoFyOVVN00lIte29Wwynvn+GHw9lNg/7x5oPXlRk4jI2jjUpUvxiYgaKkEQyoy74y+31WFQT+T+hrYLQ+swH+QUleC7A3HO3g4RkVthYE9E5ILy9QYYjKaCKp6xJ6KGQC6X4flBprP23/wVizzzxU0iIqoeA3siIhckNs6TywAvNfuBEFHDMLpzBJoGeSEzvxhr/r7h7O0QEbkNBvZERC4oI08PwNTpXSZjmTkRNQwKuQzPDWwBAPjvvmsoLDY4eUdERO6BgT0RkQsSA3vOZieihuaBbo0RodUgNacIq5m1JyKyCgN7IiIXlJ5nmuPMwJ6IGhq1Uo4X7mkFAPh0+yUk6wqdvCMiItfHwJ6IyAWJGfsgHwb2RNTwTOwZha5R/sgtKsGCjWedvR0iIpfHwJ6IyAWxFJ+IGjK5XIZF4zpBKZdhy9lkbD93y9lbIiJyaQzsiYhcULoU2Hs4eSdERM7RrpEfnrq7OQDgtfWnpQueRERUHgN7IiIXlCmW4jNjT0QN2EuDW6FFiDdScoow95eTEATB2VsiInJJDOyJiFxQOkvxiYjgqVZgySN3QK2QY8f5FHx/6Lqzt0RE5JIY2BMRuaAMZuyJiAAA7SP8MG9kWwDAO7+fx4XkbCfviIjI9TCwJyJyQVLzPHbFJyLCE/2aYlCbEOhLjJj5wwkUFhucvSUiIpfCwJ6IyMUYjAIy81mKT0Qkkslk+PChLgj28cClW7l45/dzzt4SEZFLYWBPRORisvL1EPtDBXgxsCciAoBgHw98MqELAGDVoRscgUdEVAYDeyIiFyOW4Ws9VVAp+M80EZGof+sQPN3fNAJv/rrT0gQRIqKGjr8xEhG5GHbEJyKq3MtDW6NVqA/Scovw5sazzt4OEZFLYGBPRORiMhjYExFVSqNS4KOHukAhl2HjyUT8GnPT2VsiInI6BvZERC6GgT0RUdW6RPnj2QGmkvyX1sZg/rpT0BUUO3lXRETOw8CeiMjFcIY9EVH1XhrcGo/2jgYA/HA4HsM/3YvLt3KcvCsiIudgYE9E5GKYsSciqp5aKce7D3TCj0/fiWbB3kjOLsTD/z2Es4k6Z2+NiKjOMbAnInIxbJ5HRGS93s2DsO65vugUqUVGnh6P/PcQztxkcE9EDQsDeyIiF5ORVwQACPJhYE9EZI0AbzVWT++N7k0CkF1YgmkrjyBJV+DsbRER1RkG9kRELiY9V8zYezh5J0RE7sNPo8K3T/REq1Af3MouwrQVR5FXVOLsbRER1QkG9kRELobN84iIasZPo8I3U3si2EeNc0nZeGntCRiMgrO3RUTkcAzsiYhciCAIyMznGXsiopqKCvTCfx/vAQ+lHDvOp+Cd3885e0tERA7HwJ6IyIVkF5ag2GDKLjGwJyKqmTuiA/DJhK4AgG//isPKA3FO3Q8RkaMxsCciciFiGb63WgGNSuHk3RARua9RnRvhleFtAABvbjyLL/ZchSCwLJ+I6icG9kRELkSaYc+O+EREtTZjYAs82a8ZAOC9zRcw73+nUWwwOnlXRET2x8CeiMiFSIE9O+ITEdWaTCbDv8a0x4Ix7SGXAT8ejcc7v/HMPRHVPwzsiYhciDTDnufriYjsZmq/ZvjPpDsAACsPXsf6EwlO3hERkX0xsCciciHJOlNgH+LDjD0RkT2N7NQIM+9pCQCYv+40ziVmO3lHRET2w8CeiMiFxGfmAwCiAj2dvBMiovrnpSGtMaB1CAqLjZj+3VGk5BQ6e0tERHbBwJ6IyIXcyBADey8n74SIqP5RyGX4bGJXNAv2xs2sAkz/7hgKiw3O3hYRUa0xsCciciEJDOyJiBzK30uNb6b2hL+XCifjs/DyTzEwGDkGj4jcGwN7IiIXUVRiQFK2qSw0moE9EZHDNAv2xpePdYdKIcMfp5Px+obTnHFPRG6NgT0RkYtIzCqEIACeKgW74hMROVjv5kFY/HA3yGXAD4fjsWjzBQb3ROS2GNgTEbmI+IzSxnkymczJuyEiqv9GdW6E98Z1BgD8d+81TP/uGJJ0BU7eFRGR7dwqsF+0aBFkMhlmzZol3SYIAhYsWICIiAh4enpi4MCBOHv2rMXjioqK8OKLLyI4OBje3t4YO3YsEhI4v5SIXIvYOI9l+EREdWdCzyi8fV8HqBQy7Dh/C0M/2Yt5/zuFtYdv4EZ6vrO3R0RkFbcJ7I8cOYL//ve/6Ny5s8XtH3zwAT755BMsXboUR44cQXh4OIYOHYqcnBxpzaxZs7B+/XqsXbsW+/fvR25uLkaPHg2DgV1Qich1iKPuGgcwsCciqkuT+zTF7zPvRrdof+QWlWDtkXjMW3ca/T/chanfHsaeS6ks0ycil+YWgX1ubi4effRRfPXVVwgICJBuFwQBixcvxmuvvYZx48ahY8eOWLlyJfLz87FmzRoAgE6nw/Lly/Hxxx9jyJAh6NatG1atWoXTp09jx44dznpLRETlxLMjPhGR07QO88Uvz/bF8ik9MGNgC/RuFgiZDNh9MRVTvjmMf/wYg9yiEmdvk4ioQm4R2D///PMYNWoUhgwZYnF7bGwskpOTMWzYMOk2Dw8PDBgwAAcOHAAAHDt2DMXFxRZrIiIi0LFjR2lNRYqKipCdnW3xRUTkSPEZpnOdLMUnInIOhVyGwe3CMHdEW/z4TB/smj0QU/s2hUIuw4aYRIxdsh+XbuVU/0RERHXM5QP7tWvX4vjx41i0aFG5+5KTkwEAYWFhFreHhYVJ9yUnJ0OtVltk+m9fU5FFixZBq9VKX1FRUbV9K0REVRJL8aMCPZ28EyIiAoCmwd5YMLYD1j59JxppNbiWlodJXx3CtdRcZ2+NiMiCSwf28fHxeOmll7Bq1SpoNJpK193ePVoQhGo7Sle3Zv78+dDpdNJXfHy8bZsnIrJBdmExsvKLAQBRPGNPRORSejYNxB8z70aHCD+k5erx2Nd/42YWu+cTketw6cD+2LFjSElJQffu3aFUKqFUKrFnzx783//9H5RKpZSpvz3znpKSIt0XHh4OvV6PzMzMStdUxMPDA35+fhZfRESOIp6vD/JWw9tD6eTdEBHR7QK81Vj5ZC80D/FGoq4Qk5f/jezCYmdvi4gIgIsH9oMHD8bp06cRExMjffXo0QOPPvooYmJi0Lx5c4SHh2P79u3SY/R6Pfbs2YO+ffsCALp37w6VSmWxJikpCWfOnJHWEBE5mxjYN+b5eiIilxXs44HVT/U2leWn5mHOTyfZLZ+IXIJLp4V8fX3RsWNHi9u8vb0RFBQk3T5r1iwsXLgQrVq1QqtWrbBw4UJ4eXlh0qRJAACtVotp06Zh9uzZCAoKQmBgIObMmYNOnTqVa8ZHROQsbJxHROQeGmk9seyx7pjwxUFsO3cLy/ZcxYyBLZ29LSJq4Fw6sLfG3LlzUVBQgBkzZiAzMxO9e/fGtm3b4OvrK6359NNPoVQqMWHCBBQUFGDw4MFYsWIFFAqFE3dORFTqhjjqLoCN84iIXF3XKH8sGNsBr64/jY+2XoRKLse0u5pBLq+6xxMRkaPIBNYPWSU7OxtarRY6nY7n7YnI7qZ8cxh7LqXivXGdMLFXtLO3Q0RE1RAEAf/69Sy+P3QdAHBP21C8/2BnhPh6OHlnRFSfWBuHuvQZeyKihsBoFHAqIQsA0Drct+rFRETkEmQyGf59Xwe8c39HqJVy/HkhBQM+3IVPtl9CDpvqEVEdY2BPRORkV1JzkZlfDE+VAh0jtM7eDhERWUkmk+GxO5tg/Yy+6NxYi3y9Af+38zJ6vLMD0787iv8dS0BWvt7Z2yzHaBTw15U0l9wbEdWM25+xJyJyd4djMwAA3aL9oVbyeisRkbvpEKHFr8/3w+Yzyfh0+yVcTsnF9nO3sP3cLSjkMvRpHoR5I9uiY6TzL94KgoC3Np3FyoPX0TzEG3/MvBsaFftOEbk7/gZJRORkYmDfq1mgk3dCREQ1JZPJcG+nRtj2j/7Y/NLdmDWkFdqG+8JgFLD/Shoe/fpvXEjOdvY28fG2S1h50NQX4FpqHj7aetHJOyIie2BgT0TkRIIgMLAnIqpHZDIZ2jXyw6whrbFlVn/snjMQ3aL9oSsoxuTlhxGXlue0vX1/6DqW7roCABjfvTEAYPlfsTgal+G0PRGRfTCwJyJyoviMAiRnF0KlkKFbVICzt0NERHbWNNgbK6b2QttwX6TmFGHifw/hbKIOgiDgm/2xuOv9P/HWprNIzy1y6D5Ssgvx3h/nAQBzhrXGRw91wUPdG0MQgDk/n0ReUYlDX5+IHIuBPRGRE/0dmw4A6BSphaeaZxyJiOojrZcK30/rjZahPkjOLsRDXxzEo1//jX//dg4JmQX49q849P9gF1aZR+c5wvtbLiJPb0CXxlrMGNgSAPDGmPZopNUgLj0fCzaeddhrE5HjMbAnInKiI3FiGX6Qk3dCRESOFOLrgf891xf9WgYhX2/AgavpUCvkeGFQS3SK1CJPb8Abv57Bseu2lcWn5hShxGCscs2x65n43/EEAMCCsR0gl8sAAH4aFT59uCtkMuDnYwnYdDKxZm+OiJyOgT0RkROJ5+t783w9EVG9p/VUYcUTvTD97mbo1TQQ62b0xZzhbbDxhX4Y1y3SXBZ/CgV6g1XPt+VMEvos2on7P/+r0scYjaYu+IDpXH23aMtjX3c2D8ILg0wZ/FfXnUZ8Rr5N76moxIDYtDwYjYJNjyMi+2JgT0TkJEm6AsSl50MmA+5owvP1REQNgUohx2uj2uOnZ/tI4+9kMhneHNsBYX4eiE3Lw0fbqu9UfzI+C7N+jEGJUcCZm9l4df1pCEL54HrjyUScStDBW63A3BFtKnyulwa3wh3R/sgpKsHrG85U+DyV+deGsxj00W7cuWgnXt9wWur8bzAKWPFXLGatPeHUhoFEDQUDeyIiJ9l3KQ0A0LmxP7SeKifvhoiInEnrqcJ7D3YGAHzzVyx+O1VaFh+XloczN3VIyy1Ckq4Af5xOwrSVR1FYbESXKH8o5DKsP3ET3x20PKNfWGzAh+ZxdjMGtUSor6bC11Yq5PjwoS5QK+TYcykVv51KsmrPRqOALWeTAQApOUVYdegGRn62D7PWnsC4z//Cgk3nsCEmEaOX7Ld4P0Rkf0pnb4CIqKHaezkVADCgVbCTd0JERK5gUJtQTO3bFCsOxGHW2hgYjAIOXEnHj0fjK1zfNtwXq5/qjbWHb+Cd38/j7d/OoWOkH7o3MR3vWnEgDjezChDup8GT/ZpV+dotQnwwY1ALLN5xGW9tOof+rUOqveh8KSUHuoJieKkVWDqpG34+moDNZ5KxIcYUxPtqlGga5I3TN3V4Yc0JXEzOwexhFVcNVMZoFLDvShrWHU+Ap0qB4R3C0bdlEDyUbDhLVBYDeyIiJzAYBey/YsrY3906xMm7ISIiV/HG6PZIz9Nj08lEvLQ2Rro9yFuN9Dw9FHIZ2oT5okfTALwwqCV8PJSYdlczxMRn4bdTSXhu1XH8NvMupOXo8R/zzPo5w9tYNXnluYEtsPFkIq6l5uHVdafx2cSuUCoqL/AV+8R0bxKAe9qG4Z62YTiVkIWlf16Bj0aJeSPaItBbjU+2X8Lnu69iyZ9X4KVW4rmBLaz6Xpy5qcPMtSdwLbW0lH/tkXj4aZR4uGcUJt/ZFNFBXlY9F1F9x8CeiMgJztzUISu/GL4eSnSN8nf2doiIyEUo5DJ8MqEL8otKsPNCClqEeOO9BzujZ9NA6EuMMAoCNCrLIF0mk+H9Bzvj0q0cXLqVi/HLDuJmVgEMRgEdI/3wQLdIq17bQ6nAe+M6Y9JXh/D76SQYBQGfTewGtbLi4F4M7Hs2LW0A27mxP/77eA+LdXNHtIWfpwrvbb6A97dcgI+HApP7NK1yL9mFxXhu9THEZxTAx0OJ8d0bwygI2Ho2Gbeyi/DVvlh8vT8W3aMDMKJjOAK81EjOLgRgGiHbpbE/tF485kYNBwN7IiIn2HvJVIbft2UQVFVkQ4iIqOFRKeT4cnJ3nEzIQsdIrVR2XlmADQDeHkp88Vh3jF36F26YO9vf2ykcb43tCIV5vJ01ejULxLLHuuP51cex+Uwy8r47iv+b2BX+XmqLdYIgSIF9Lysmuzw7oAVyCovxn11X8cavZ3EruwgvD20tjd67/blfX38G8RkFaBzgid9evEt6/QVjOmD3pRSsOHAdey+l4uj1TBy9nlnuOeQy4P6ukfjH0NaICmRWn+o/mWBL28sGLDs7G1qtFjqdDn5+fs7eDhG5uYe+OIAjcZl494GOeLR3E2dvh4iI6om/rqTh633X8EivaAzrEF7j59l7KRVPf29q0Bfp74n/e6QbupeZ4BKXloeBH+2GWiHHqQXDylURVEQQBHy87RKWmo8IjOrcCIvGdYKfpjSzri8x4tu/YrFo8wUo5DL89Ewfi9ctK0lXgG1nb2HnhRQIgoAwPw30JUacTMjC9XTTxQ2VQobRnSMwomM4+rcKsepIApErsTYOZWBvJQb2RGQvOYXF6Prv7TAYBeybO4iZBCIicklnburw/JrjuJ6eD6Vchg8f6owHujUGAPx0JB5z/3cKPZoE4P/bu/O4qOq9D+CfGZaZAWaGfYZlBFdUMFAz1EwsTagszW7ZanbtXrNHs8V6Wu59aat6n9Keulr6lNrNrDQ17Za2uadpKiqgggsoCMPODIuz/54/0LkiKKADw+Dn/XrxetWZM+f8znl9wfM553d+v2+mDm3Vdlfvy8er6zJgtQtoVDL8fUxfyL298MfpCqw9cBal1WYAwMzRvTDttp5X1fZD+VX4nx+znePZAEBsiB/W/9cwdtEnj9LSHMqu+ERE7WzXyXLYHQJdQ/0Z6omIqMNKiFLj39OH4eW1Gfj+cBGeX3UI5ywOPJzcBXvzWt4N/1L336hDbKg/Xlx9CHnldZi2Mr3B5+FKGZ64uSv+OrzbVbc9UReIFU8mY//pSvyQUYS1BwqQV16H9YfOYmIz7/cTeSIGeyKidvbj+Tl/R8RxNHwiIurYlHIffPhgf4T6++Kz3afx6roMrD1QgJziagBXF+yB+gH3Nj07HB/8ehwr955BWIAMSbpApMSFITVe67LxZwbGBGFgTBCigxR4/bsj+GZ/AYM9dUoM9kRE7chic+CXI8UAgLRrePeRiIiovUilEsy+Jx5yXy8s3nbKOVidr7f0su+/t4TcxwsvpfXGS2m9XdXUyxqbFIV3fjiKwwUGZOurEadVtvk+idoTgz0RUTvafaocRpMNoQG+uDH26p5yEBERtTeJRIJX7uiDcUlROFFSg2KjCfGRaijlnvG+erC/L0b21mBTlh7f7M/Ha3f1dXeTiFyKwZ6IqB1tyiwCAKTGa1s1/RAREVFH0CdChT4RnjmQ9J8GRmNTlh7r0gvxUlpvTjdLnQqrmYiondgdAj9l1XfDvyMhws2tISIiur6kxIUhNMAXZTVmbMsudXdziFyKwZ6IqJ3sza1Aea0FgX4+SO7GbvhERETtycdLirFJUQCAfx8udHNriFyLwZ6IqJ1sPN8N//Y+Gnb/IyIicoM7+9UPXPvr0RKYbXY3t4bIdXhlSUTUDgx1VqzZXwAAGJMY6ebWEBERXZ/664KgUclQbbZh14lydzeHyGUY7ImI2sGKPadRa7EjTqPELT1C3d0cIiKi65JUKkHq+elmL/SkI+oMGOyJiNqYyWrH0p25AICpI7pDytHwiYiI3CYtoT7Y/3ykGDa7o932W1pthhCi3fZH1xcGeyKiNrZ6Xz7Kay2IDlJgzA0cDZ+IiMidbooNRpCfDyrrrNiTW9Eu+/xkxync9M4v+PPyP2Cxtd/NBLp+cB57IqI2VFVnwcfbTgEApgzvBm8OmkdERORW3l5SjO6rxdf78vF9RhFuPv+KXFmNGdtzSpGWoIWfb31M2pdXgb159eFfJffBvf2j4C9rGKGKjSas+iMfhYZzKDGaYXPUP5XvGR6Av6Z0Q/qZKrz9w1EIAWzJLsWzX6fjw4cGwIs9+MiFJIL9QVrEaDRCrVbDYDBApVK5uzlE5AFqzDY88skeHMqvQqRajs0zR0Du4+XuZhEREV33dhwvxWOf7oW3VIKVfxmMOI0S9370G06V1mJAl0Ase+Im/JBRhFfXZeDitNQ9zB8LHxmA3tr6PGCos2LMP3cgv+Jck/tR+HhBQMBkdeDWuDD8dqIcFrsDY26IwKy74xGmlLXH4ZIHa2kOZbBvIQZ7ImoNk9WOJ5b9gd2nyhHk54OvpwxBL43S3c0iIiIiAEIIzPjqIDYcKkSYUoauIf7OJ/MAEBWowNmq+rA+vFcYtCoZtueUQW80QeYtxfO398LEIbF4+ov92JJdiqhABe6/MRoalRy+XlJY7Q58vS8f6WeqAAApvcLw6eM34pejxXj6iwNwCMDP1wtp8VqcKqvFqdIavDA6Do8PjXXD2aCOjMHexRjsiailrHYHpq7Yj1+OliBA5o2Vf0nGDdGB7m4WERERXaTOYsO9C3chu7gaAODv64V3xvfDG98dQXmtBUD9a3Qv39EbEokEFbUWPL/qILZmlwIAAmTeqDHbIPOWYs3UoUiIUjfYvhACvxwtQVahAU/e0g0B57vw782twNs/HMWh/KoG6/t4SfDd9GHO3gBEAIO9yzHYE7mG2WbH4QIDzNb6gWPClDL0CA/oNO+ZORwCz606iPUHCyHzluKzP9+Ewd1C3N0sIiIiakJuWS3u+edO1Jpt+HTSINwaF44TJTV4/bsspPQKw+RhXSGR/OcaxeEQ+OZAAd7/OQeFBhMA4L37E3HfwOhW7VcIgZ+PFCM9vwpxGiU2HCrE5mMliI9U4dv/uhk+HJOHzmOwdzEGe6KrV2u2YWt2KX7M0mPzsRLUmG0NPvf39UKfCBUiAhXQKGXw8a7/x2xglyCM7BPe4B/UjqzYaMLfvs3Ez0eK4S2V4P8m3ohbe4e7u1lERER0BSXVJtSa7ega6t/i75isdqw5UACFjxfGD2hdqL9cG0Yv2I6qOiueHdUTz47qdc3bpM6Bwd7FGOyJWu9ESTXe/+U4fjpS3GBql9AAGUIDfAEAZyrqUGexX3YbI3uH481xCYgMVLR5e6/EZnfg+4wi5JbVQqOSQ6uWQ6uSIyTAF3llddibW47F20+h2mSDt1SCBROScHdipFvbTERERJ5j/cGzmPHVQUgkwPsTkjA2KcrdTaIOgMHexRjsiVquotaCOT8cxZoDBTg/4wtiQvyQFq9FaoIWSdGBkJ7vem93CBwvqUZOcQ2KDSaU1phhswvUmK1Yl34WVruAt1SCPhEqJOrU0AX5QauWo3tYAOK0yjbvqiaEwI9ZxXj3p2ycKKlpdv3EaDXm3ncD+kTw7wQRERG1nBACf1+fiRW/n4G3VILFjw3EyD4adzeL3IzB3sUY7Ila5o+8CkxfmQ69sf69s9R4Dabf1hPxkapWd6nPKa7Gq2szsO90ZZOfy32kSIwOxO19NUiN10IX7Nfq9lpsDvh6N31zoKCyDn/7NtM5SE6gnw9G9tagotYMvdGMYqMJFbUWhCtlSNIF4tbe4XjgRl2nGS+AiIiI2tfFY/X4ekuxtolB+ej6wmDvYgz2RFfmcAh8tO0k5v+cA7tDoFuoP/7n/kQMjAm6pu0KIVBQeQ6HCqqQVWhEUdU5FBpMOFpkRLWp4bv6UYEKJOrUSIwORJIuEH0jVVDKfZyfV5usKDaaoDeYse90BTZl6nFMXw1dsAJJuiAkRqvRv0sgTFYHfszS45v9Baiz2OHrJcVfhnfFlJTuUF20PaC+i743B7ghIiIiF7HaHfjLv/Zha3YpemuV2DBt2GUfQlDn1ymC/Zw5c7B27VocO3YMCoUCQ4cOxbx58xAXF+dcRwiB119/HUuWLEFlZSWSk5OxcOFCxMfHO9cxm82YOXMmvvzyS5w7dw4jR47EokWLEB3d8oEuGOyJLq+sxoznvj6IHcfLAAD39o/CW+MS4H9+Wpe24HAInCqrxc7jpdiUpcfe3Apnt/+LBci8EeTvg4oaC2qv8C7/5QyKDcKc8TegR3iAC1pNRERE1LyyGjNGL9iOiloLpt/WAy+Mjmv+S9QpdYpgn5aWhgcffBCDBg2CzWbDa6+9hoyMDBw5cgT+/vWjVs6bNw9vv/02li9fjl69euGtt97C9u3bkZ2dDaVSCQCYOnUqvvvuOyxfvhwhISF44YUXUFFRgf3798PLy6tFbekswd5qdyBbX42CyjqEBsigUckhO38H0E/m7Zxfk6il8ivqMGHxbhQaTJD7SPHGPQm4/8bodh/JvsZsw+GCKhzKN+BQfhUO5lc5Xwe4mFLuDa1Kjm5h/ri9rxaDuwUjr6wOB/MrcTDfgEMFVRACGNUnHKkJWqT0DHOOB0BERETUXr4/XIT/WnkAXlIJ1j09FDdEB7q7SeQGnSLYX6q0tBTh4eHYtm0bhg8fDiEEIiMj8eyzz+K///u/AdQ/nddoNJg3bx6mTJkCg8GAsLAwfP7555gwYQIAoLCwEDqdDj/88ANSU1Ob3JfZbIbZbHb+v9FohE6n89hgn3nWgPd/ycGO42UwXzQ6+aX8fb2gC/bDbb3DkRqvxQ3Rao+ZaozaX4nRhPsX78bp8jp0C/XHx48NRC+N0t3Ncqox26A3mFBZZ0Gwvy+0Knmb9iIgIiIicqVpKw/g34eL0EsTgO+mD4PMu2UPJanzaGmw96iXNQwGAwAgODgYAJCbmwu9Xo/Ro0c715HJZEhJScGuXbsAAPv374fVam2wTmRkJBISEpzrNGXOnDlQq9XOH51O1xaH1ObyymoxbeUBjPlwJ345WgKzzQGl3BuJukDoghWQeUvhJZXgwgPJWosdx/TVWLT1JMYu/A03z92M2RuysP90JTzoHhC1g6o6Cx77dC9Ol9dBF6zAl38d3KFCPVDfDb9HeAAGxQaje1gAQz0RERF5lDfGJiA0wBc5xTX431+Ou7s51IF5zFWuEALPP/88hg0bhoSEBACAXq8HAGg0DaeB0Gg0OH36tHMdX19fBAUFNVrnwveb8sorr+D55593/v+FJ/aewGS1I6vQiLUHCvD1H/mwnX/xeGxSJKaO6I5e4comuxbXmm3QG03IPGvAT1nF2JJdgkKDCct35WH5rjzER6rwxM1dMb5/FLsmX+dqzDY8vuwPZBdXI1wpwxeTB0Ojkru7WURERESdSrC/L94a1w9PrdiPj7edxOh4LZJ0ge5uFnVAHhPsp02bhsOHD2Pnzp2NPru0q7gQotnu482tI5PJIJPJrq6xblJeY8YTy//A0SIjrPb/PF0fEReGF1PjEB955aky/GXe6B4WgO5hARibFAWT1Y6dx8vwQ2YRvj9chKxCI2auPoT1B89iwYQkhAZ41vlpDSEE9p2uxHeHCuEtlUKrlqFraAASdWqEK6/vAGuy2vGXz/bhUH4Vgvx8sOLJZHQJaf00c0RERETUvLQELcYlReLbg4V4/uuD2DB9GMfFokY8oiKmT5+ODRs2YPv27Q1GstdqtQDqn8pHREQ4l5eUlDif4mu1WlgsFlRWVjZ4al9SUoKhQ4e20xG0jyA/X+SW1cJqFwjx98WAmCBMHtYVg7uFXNX25D5eGNVXg1F9Nfj7XX2xcu8ZfLj5OHYcL8Od/7sDCx8ZgEGxwS4+CtexOwSOFBpxML8ShwsMKKg8h2KjCQ4hEK6SIzpIgRFx4bg1Lsw5JVpBZR1+zCrGmv0FOFJkbHK7UYEK3N5Xg9HxGvSNUEGt8LluxiGw2h2YtvIAdp8qR4DMG5/9+aYO1/2eiIiIqLOZfU889uRW4FRZLV5cfQiLHhlw3Vx/Ust06MHzhBCYPn061q1bh61bt6Jnz56NPo+MjMRzzz2Hl156CQBgsVgQHh7eaPC8FStW4IEHHgAAFBUVITo6+oqD513KU0bF332yHNFBCkQHKdrklz2nuBpPf3EAJ0pq4OMlwbz7bsD4AS2fNrA9HDhTidX7CvDzET3KaizNru/jJYFa4QMhgPLa/6wv85binsRIBPv7oshgQra+Gjkl1bj0N0bmLYVWLYdGJUdogC8kEgkkqO86pVXL0S00AEm6QGjVnv2k3+EQeG7VQaw/WAiZtxSf/fmmq75pREREREStk36mEg8s3g2rXeCVO3pjSkp3dzeJ2kGnGBX/6aefxsqVK7F+/foGc9er1WooFAoA9dPdzZkzB8uWLUPPnj3xzjvvYOvWrY2mu/v3v/+N5cuXIzg4GDNnzkR5efl1Od2dK9RZbHhh1SFszKwfo+C5Ub0wY1TPZr7V9gznrJi78Si+3JvvXKaUe6N/lyAkRavRLSwAGpUcUgmgN5pwtKgaPx3R41RprXN9qQS4MTYYafFa3Ns/CkH+vg32UWO24feT5fgxS4+tOaUorTajpbQqORJ1aiTpgjAiLgy9tUqPudNqdwj87dsMfLk3H95SCZZMHIjbemua/yIRERERucyK30/jb99mQioB3hrXDw8nd3F3k6iNdYpgf7nQs2zZMkyaNAlA/VP7119/HYsXL0ZlZSWSk5OxcOFC5wB7AGAymfDiiy9i5cqVOHfuHEaOHIlFixa1ajA8BvuGHA6B//kpGx9tPQkAeGtcAh4dHOO29mTrqzFx6R4UG+uD9vj+Ubh3QBQGdwuBj9eVJ3/Ir6hDrcUGAAhXyhF8SZi/EpPVjhKjGXqjCXqjCZXnn/jbHQJlNWboDSYc1VcjW2+E45LftC7BfkjpFYYkXSAGxQZ32PfUa802PPNlOn49VgKJBPjgwf64OzHS3c0iIiIiuu4IIfDat5lYuecMAODJYV0xrn8UAKCyzgK9wQQhgIQoNXppAuB90XWw0WRFtr4aRQYTjOes6BkegH7RakglkgbXs4Y6C4L9ZdCqZdCo5AhXyuHr7VGTqXUqnSLYdyQM9k374NfjmP9zDrykEiybNAjDe4W1extOl9fiTx/vRmm1Gd1C/TFnfD8kd7Au4nUWGzLP1r/vvze3EjuOl8JsczRY5+YeIZg4JBaj+mjg1UFmHSgynMPk5ftwpMgIX28p5j+QiDE3MNQTERERuYsQAh/8egILfsm54noKHy/0i1IjIUqNE6U12HWizDlb1gUSCRq9ZtqU2BA/3N5Xg7SECAzoEugxvU47AwZ7F2Owb5oQAi+sPoS1B85CKfPG11OGoG9k+52fIsM53P/xbhRUnkNvrRJf/XUwAv1a/sTdXeosNmzPKcW+vEoczK/CgTOVzif6vbVKvJgah9t6h7v1j2ZGgQGTP/sDJdVmhAb4YsnEGzGgS1DzXyQiIiKiNvfdoUIs+CUHteb6nqcquQ+0ajlsdoGMswbUnF9+sahABaKCFPD39cKx80/vgf+MGaVVyRHo54PyGgv0RhOKjaYGs20BQJxGiYlDY3Bz91Bo1XLIfVr2ajNdHQZ7F2OwvzyzzY6Jn+7FntwKhAb4YtWUIegWFtDm+y2vMeOBxbtxsrQWsSF+WPXUEI+diq6gsg4rfj+DL/acRrWp/o9wTIgf+usCMTAmCKP6ahChVrRLW4wmK1b9kY/3fsrBOasdPcMDsHTSIOiCO+arAkRERETUkN0hcKq0Bgfzq5BVaES4SobUeC26X3KNXlptdg4k3dQDJYdDoLzWgn15FdiUpcdPWcU4Z7U3WEcXrMDtfbS4o58WN8YE8Wm+izHYuxiD/ZUZTVY8tOR3ZBUaEamW46GbukAAyC2rxcH8KpitdozrH4VHB8cgMvDaA6rRZMXD//c7Ms8aEaGWY/VTQxAd5PnB01BnxUfbTmLZb7mNuuon6gKRFq9FarzGZTdOrHYHSqvNKDKcQ+ZZI9LPVOKnI8Wos9T/wb6lZygWPjIAqvPTARIRERHR9ctwzorV+/Lxzf4C5JXXwmRteL3aIzwAjw+Jwdj+Ubx+dBEGexdjsG/exU/QL8dLKsFrd/bBn4d1vap9nLPY8e3Bs/hkxymcLK1FiL8vVj01pNHdR09nOGfFofwqHMyvwo7jpdh3urLB+0/RQQok6QLRN1KFCLUcQX6+qKit7zJltdWvWGuxQW8wObtRFRtNsFxys+DSAf0u6KUJwKShXfHAjdENBl0hIiIiIgLqX8k1nLNiT24FfszU48csPWrPPxzy8ZJgaPdQpCVocXtfDUIDZG5uredisHcxBvuWKTGa8OlvuTCeswIANCo5knSBOGexY/muPOzJrQAAzB3fDw/e1PLpOfIr6vD576fx9R/5MJzfdqCfD754MhnxkWrXH0gHU1Jtws9HirEpU4/dJ8sbDXxyLbylEmhUcvTSBCBRF4gh3UJwU9dgdqMiIiIiohYzmqxYs78AX+w5gxMlNc7lF6aTTj3f87Qz9LJtTwz2LsZgf+2EEJi78RgWbz8FiQT4+119cd+AaKj9GnfTcTgETpXVYntOKTZl6fFHXoXzibUuWIGJg2PxwI26Jr/b2VWbrDhcYMDB/CqcLKmB3mhCRa0FIQG+0KjkUJwfwETm7YUItRya8wOhaFQy52cXeEklCPLzhbSDjMJPRERERJ7vREk1fsyqfyiVcdbQ4LOYED8k6QLRS6NEhFqOkAAZLr0U9Zd5Q6uSIyTAF1KJBBLguu1FymDvYgz2riGEwKvrMvHl3vq5N72lEvSNVMH7ot9muwBOldY4B5G74JaeoZg0NBYj4sI7zHRwRERERER0eQWVdfgpqxibsvTYl1dx2VdBmxMb4ofE8zcEtCo5ooMUiI9SI0Dm7doGdzAM9i7GYO86dofA/+04hXUHziK7uPqy68l9pEjSBWJ0Xy1Gs9sOEREREZFHM9RZcaigCofyq5BbXotiowkVtVZcGkmrTTYUG03Nvn4qkQA9wwOQpAtEoi4QSbpAxGmUnerpPoO9izHYt43cslocbyLcRwYqEKdVwqcT/VISEREREVHLOBwC1eb6HrwWmwNHiow4lF+F0+V1KDaacKq0BoUGU6PvyX2k6BelRmJ0IJK6BGJYj1AE+vm2d/NdhsHexRjsiYiIiIiIOo4SowmHCgw4mF+JQ/kGHMqvct4MuMBbKsHgbiEYGBMErVoOXZAf+kWroVZ4xlhdDPYuxmBPRERERETUcV0YgPvCtNF7cysu++pvtzB/PDhIh78O797OrWydlubQzj3SABEREREREV0XpFIJeoQHoEd4AO4bGA0AyCurxS9Hi3GqrBZ6gwknS2twurwOp0prGw3W7ckY7ImIiIiIiKhTig31x5O3dGuwrLLWgoMFVegS3HkG52awJyIiIiIioutGkL8vbo0Ld3czXIpDjhMRERERERF5MAZ7IiIiIiIiIg/GYE9ERERERETkwRjsiYiIiIiIiDwYgz0RERERERGRB2OwJyIiIiIiIvJgDPZEREREREREHozBnoiIiIiIiMiDMdgTEREREREReTAGeyIiIiIiIiIPxmBPRERERERE5MEY7ImIiIiIiIg8GIM9ERERERERkQdjsCciIiIiIiLyYN7uboCnEEIAAIxGo5tbQkRERERERNeDC/nzQh69HAb7FqqurgYA6HQ6N7eEiIiIiIiIrifV1dVQq9WX/Vwimov+BABwOBwoLCyEUqmERCJxd3Muy2g0QqfTIT8/HyqVyt3NoQ6INUJXg3VDrcWaoWvB+qGrwbqhq9HR60YIgerqakRGRkIqvfyb9Hxi30JSqRTR0dHubkaLqVSqDlmY1HGwRuhqsG6otVgzdC1YP3Q1WDd0NTpy3VzpSf0FHDyPiIiIiIiIyIMx2BMRERERERF5MAb7TkYmk2HWrFmQyWTubgp1UKwRuhqsG2ot1gxdC9YPXQ3WDV2NzlI3HDyPiIiIiIiIyIPxiT0RERERERGRB2OwJyIiIiIiIvJgDPZEREREREREHozBnoiIiIiIiMiDMdi3gzlz5mDQoEFQKpUIDw/HuHHjkJ2d3WAdIQRmz56NyMhIKBQKjBgxAllZWc7PKyoqMH36dMTFxcHPzw9dunTBM888A4PB0GA7sbGxkEgkDX5efvnlZtuYkZGBlJQUKBQKREVF4Y033sDF4yoWFRXh4YcfRlxcHKRSKZ599tlrOynUQGeokZ07d+Lmm29GSEgIFAoFevfujQULFlzjmaEr6Qx1s3Xr1kbblUgkOHbs2DWeHWpKZ6iZSZMmNVkz8fHx13h2qDmdoX4AYOHChejTpw8UCgXi4uLwr3/96xrOCjWno9eNyWTCpEmT0K9fP3h7e2PcuHGN1uF1cPtrz7oBgO+//x7JyclQKBQIDQ3F+PHjm21jh8tPgtpcamqqWLZsmcjMzBQHDx4Ud911l+jSpYuoqalxrjN37lyhVCrFmjVrREZGhpgwYYKIiIgQRqNRCCFERkaGGD9+vNiwYYM4ceKE+PXXX0XPnj3Ffffd12BfMTEx4o033hBFRUXOn+rq6iu2z2AwCI1GIx588EGRkZEh1qxZI5RKpXj33Xed6+Tm5opnnnlGfPbZZyIpKUnMmDHDdSeIOkWNHDhwQKxcuVJkZmaK3Nxc8fnnnws/Pz+xePFiF54pulhnqJstW7YIACI7O7vBtm02mwvPFF3QGWqmqqqqwTbz8/NFcHCwmDVrlutOFDWpM9TPokWLhFKpFF999ZU4efKk+PLLL0VAQIDYsGGDC88UXayj101NTY146qmnxJIlS0RqaqoYO3Zso3V4Hdz+2rNuvvnmGxEUFCQ++ugjkZ2dLY4dOyZWr159xfZ1xPzEYO8GJSUlAoDYtm2bEEIIh8MhtFqtmDt3rnMdk8kk1Gq1+Pjjjy+7nVWrVglfX19htVqdy2JiYsSCBQta1Z5FixYJtVotTCaTc9mcOXNEZGSkcDgcjdZPSUnhH7Q25uk1csG9994rHn300Vbti66eJ9bNhWBfWVnZqm2Ta3hizVxq3bp1QiKRiLy8vFbti66dJ9bPkCFDxMyZMxt8b8aMGeLmm29u1b7o6nW0urnY448/3mSwvxivg92jrerGarWKqKgo8cknn7SqPR0xP7Ervhtc6P4RHBwMAMjNzYVer8fo0aOd68hkMqSkpGDXrl1X3I5KpYK3t3eD5fPmzUNISAiSkpLw9ttvw2KxXLE9u3fvRkpKCmQymXNZamoqCgsLkZeX19rDIxfoDDWSnp6OXbt2ISUl5YrbJtfx5Lrp378/IiIiMHLkSGzZsqVFx0vXzpNr5oJPP/0Uo0aNQkxMzBW3Ta7nifVjNpshl8sbfE+hUGDv3r2wWq3NHzRds45WN+QZ2qpuDhw4gLNnz0IqlTqvRe64444GXfqb0hHzk3fzq5ArCSHw/PPPY9iwYUhISAAA6PV6AIBGo2mwrkajwenTp5vcTnl5Od58801MmTKlwfIZM2ZgwIABCAoKwt69e/HKK68gNzcXn3zyyWXbpNfrERsb22jfFz7r2rVrq46Rro2n10h0dDRKS0ths9kwe/ZsPPnkky07cLomnlo3ERERWLJkCQYOHAiz2YzPP/8cI0eOxNatWzF8+PBWnQNqHU+tmYsVFRVh48aNWLlyZfMHTC7lqfWTmpqKTz75BOPGjcOAAQOwf/9+LF26FFarFWVlZYiIiGjVeaDW6Yh1Qx1fW9bNqVOnAACzZ8/G/PnzERsbi/feew8pKSnIyclx3ki4VEfMTwz27WzatGk4fPgwdu7c2egziUTS4P+FEI2WAYDRaMRdd92Fvn37YtasWQ0+e+6555z/fcMNNyAoKAh/+tOfnHcv4+PjncV+yy23YOPGjZfdd1PLqe15eo3s2LEDNTU1+P333/Hyyy+jR48eeOihh1p6+HSVPLVu4uLiEBcX5/x8yJAhyM/Px7vvvstg38Y8tWYutnz5cgQGBjY52BW1LU+tn7///e/Q6/UYPHgwhBDQaDSYNGkS/vGPf8DLy6u1p4FaqaPWDXVsbVk3DocDAPDaa6/hvvvuAwAsW7YM0dHRWL16NaZMmeIx+YnBvh1Nnz4dGzZswPbt2xEdHe1crtVqAdTf3bn4TnFJSUmju1DV1dVIS0tDQEAA1q1bBx8fnyvuc/DgwQCAEydOICQkBD/88IOzq5lCoXDu/8Jdr4v3DTS+C0ZtqzPUyIU7lP369UNxcTFmz57NYN/GOkPdXLrtFStWXHH/dG06Q80IIbB06VI89thj8PX1bfGx07Xz5PpRKBRYunQpFi9ejOLiYmevIaVSidDQ0FafC2q5jlo31LG1dd1c+G7fvn2dy2QyGbp164YzZ84AgMfkJ75j3w6EEJg2bRrWrl2LzZs3N+qa0bVrV2i1Wvz888/OZRaLBdu2bcPQoUOdy4xGI0aPHg1fX19s2LCh0TtiTUlPTwfwn6KNiYlBjx490KNHD0RFRQGof0K2ffv2Bu8g/fTTT4iMjGzUxYTaRmetESEEzGZz8yeArkpnrZv09HR2h20jnalmtm3bhhMnTmDy5MmtOwl01TpT/fj4+CA6OhpeXl746quvMGbMGEilvCxuCx29bqhjaq+6GThwIGQyWYOp9KxWK/Ly8pxjt3hMfmrToflICCHE1KlThVqtFlu3bm0w/UZdXZ1znblz5wq1Wi3Wrl0rMjIyxEMPPdRgugaj0SiSk5NFv379xIkTJ5qcFmrXrl1i/vz5Ij09XZw6dUp8/fXXIjIyUtxzzz1XbF9VVZXQaDTioYceEhkZGWLt2rVCpVI1mK5BCCHS09NFenq6GDhwoHj44YdFenq6yMrKcvHZuj51hhr55z//KTZs2CBycnJETk6OWLp0qVCpVOK1115rgzNGQnSOulmwYIFYt26dyMnJEZmZmeLll18WAMSaNWva4IxRZ6iZCx599FGRnJzswrNDzekM9ZOdnS0+//xzkZOTI/bs2SMmTJgggoODRW5urutPGAkhOn7dCCFEVlaWSE9PF3fffbcYMWKE85r3YrwObl/tVTdC1M+MERUVJX788Udx7NgxMXnyZBEeHi4qKiou276OmJ8Y7NsBgCZ/li1b5lzH4XCIWbNmCa1WK2QymRg+fLjIyMhwfn5hSqimfi78Y7R//36RnJws1Gq1kMvlIi4uTsyaNUvU1tY228bDhw+LW265RchkMqHVasXs2bMbTdXQ1L5jYmJccYque52hRj744AMRHx8v/Pz8hEqlEv379xeLFi0SdrvdZeeJGuoMdTNv3jzRvXt3IZfLRVBQkBg2bJj4/vvvXXaOqKHOUDNC1F9QKRQKsWTJEpecF2qZzlA/R44cEUlJSUKhUAiVSiXGjh0rjh075rJzRI15Qt3ExMQ0ue3mjoPXwW2nvepGCCEsFot44YUXRHh4uFAqlWLUqFEiMzOz2TZ2tPwkOb9DIiIiIiIiIvJAfJmIiIiIiIiIyIMx2BMRERERERF5MAZ7IiIiIiIiIg/GYE9ERERERETkwRjsiYiIiIiIiDwYgz0RERERERGRB2OwJyIiIiIiIvJgDPZEREREREREHozBnoiIiIiIiMiDMdgTERFRsyZNmgSJRAKJRAIfHx9oNBrcfvvtWLp0KRwOR4u3s3z5cgQGBrZdQ4mIiK5DDPZERETUImlpaSgqKkJeXh42btyIW2+9FTNmzMCYMWNgs9nc3TwiIqLrFoM9ERERtYhMJoNWq0VUVBQGDBiAV199FevXr8fGjRuxfPlyAMD8+fPRr18/+Pv7Q6fT4emnn0ZNTQ0AYOvWrXjiiSdgMBicT/9nz54NALBYLHjppZcQFRUFf39/JCcnY+vWre45UCIiIg/DYE9ERERX7bbbbkNiYiLWrl0LAJBKpfjggw+QmZmJzz77DJs3b8ZLL70EABg6dCjef/99qFQqFBUVoaioCDNnzgQAPPHEE/jtt9/w1Vdf4fDhw7j//vuRlpaG48ePu+3YiIiIPIVECCHc3QgiIiLq2CZNmoSqqip8++23jT578MEHcfjwYRw5cqTRZ6tXr8bUqVNRVlYGoP4d+2effRZVVVXOdU6ePImePXuioKAAkZGRzuWjRo3CTTfdhHfeecflx0NERNSZeLu7AUREROTZhBCQSCQAgC1btuCdd97BkSNHYDQaYbPZYDKZUFtbC39//ya/f+DAAQgh0KtXrwbLzWYzQkJC2rz9REREno7BnoiIiK7J0aNH0bVrV5w+fRp33nknnnrqKbz55psIDg7Gzp07MXnyZFit1st+3+FwwMvLC/v374eXl1eDzwICAtq6+URERB6PwZ6IiIiu2ubNm5GRkYHnnnsO+/btg81mw3vvvQeptH4Yn1WrVjVY39fXF3a7vcGy/v37w263o6SkBLfccku7tZ2IiKizYLAnIiKiFjGbzdDr9bDb7SguLsamTZswZ84cjBkzBhMnTkRGRgZsNhs+/PBD3H333fjtt9/w8ccfN9hGbGwsampq8OuvvyIxMRF+fn7o1asXHnnkEUycOBHvvfce+vfvj7KyMmzevBn9+vXDnXfe6aYjJiIi8gwcFZ+IiIhaZNOmTYiIiEBsbCzS0tKwZcsWfPDBB1i/fj28vLyQlJSE+fPnY968eUhISMAXX3yBOXPmNNjG0KFD8dRTT2HChAkICwvDP/7xDwDAsmXLMHHiRLzwwguIi4vDPffcgz179kCn07njUImIiDwKR8UnIiIiIiIi8mB8Yk9ERERERETkwRjsiYiIiIiIiDwYgz0RERERERGRB2OwJyIiIiIiIvJgDPZEREREREREHozBnoiIiIiIiMiDMdgTEREREREReTAGeyIiIiIiIiIPxmBPRERERERE5MEY7ImIiIiIiIg8GIM9ERERERERkQf7f8kPg4PsQaE9AAAAAElFTkSuQmCC",
+      "text/plain": [
+       "<Figure size 1200x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot q_obs\n",
+    "\n",
+    "plt.figure(figsize=(12, 5))\n",
+    "plt.plot(q_obs[\"Date\"], q_obs[\"discharge_m3s\"])\n",
+    "\n",
+    "plt.xlabel(\"Date\")\n",
+    "plt.ylabel(\"Discharge (m³/s)\")\n",
+    "plt.title(\"Observed daily discharge at 07DA001\")\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a48b5085-6478-4cf2-bd02-75b75f82e90f",
+   "metadata": {},
+   "source": [
+    "### Generate/Load CMIP6 data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 130,
+   "id": "77e79b20-3e4d-405a-bd88-16bdc50bdb39",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">LumpedMakkinkForcing</span><span style=\"font-weight: bold\">(</span>\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">start_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'2025-01-01T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">end_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'2050-12-31T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">directory</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/ssp126/CMIP6-2025-2050'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">shape</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">filenames</span>=<span style=\"font-weight: bold\">{</span>\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'evspsblpot'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_2025_2050_evspsblpot.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'pr'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_2025_2050_pr.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'rsds'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_2025_2050_rsds.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'tas'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_2025_2050_tas.nc'</span>\n",
+       "    <span style=\"font-weight: bold\">}</span>\n",
+       "<span style=\"font-weight: bold\">)</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1;35mLumpedMakkinkForcing\u001b[0m\u001b[1m(\u001b[0m\n",
+       "    \u001b[33mstart_time\u001b[0m=\u001b[32m'2025-01-01T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mend_time\u001b[0m=\u001b[32m'2050-12-31T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mdirectory\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/ssp126/CMIP6-2025-2050'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mshape\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mfilenames\u001b[0m=\u001b[1m{\u001b[0m\n",
+       "        \u001b[32m'evspsblpot'\u001b[0m: \u001b[32m'combined_CMIP6_2025_2050_evspsblpot.nc'\u001b[0m,\n",
+       "        \u001b[32m'pr'\u001b[0m: \u001b[32m'combined_CMIP6_2025_2050_pr.nc'\u001b[0m,\n",
+       "        \u001b[32m'rsds'\u001b[0m: \u001b[32m'combined_CMIP6_2025_2050_rsds.nc'\u001b[0m,\n",
+       "        \u001b[32m'tas'\u001b[0m: \u001b[32m'combined_CMIP6_2025_2050_tas.nc'\u001b[0m\n",
+       "    \u001b[1m}\u001b[0m\n",
+       "\u001b[1m)\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Generate data\n",
+    "# CMIP_dataset = {'dataset': 'MPI-ESM1-2-HR', 'project': 'CMIP6', 'grid' : 'gn', 'exp': 'historical', 'ensemble': 'r1i1p1f1'}\n",
+    "\n",
+    "# CMIP_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].generate(\n",
+    "#     dataset=CMIP_dataset,\n",
+    "#    start_time=validation_start,\n",
+    "#    end_time=validation_end,\n",
+    "#    shape=shape_file,\n",
+    "# )\n",
+    "# CMIP_forcing_QDM = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].generate(\n",
+    "#     dataset=CMIP_dataset,\n",
+    "#    start_time=validation_start,\n",
+    "#    end_time=validation_end,\n",
+    "#    shape=shape_file,\n",
+    "# )\n",
+    "\n",
+    "# Load data\n",
+    "\n",
+    "# ERA5_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=forcing_path_ERA5)\n",
+    "\n",
+    "CMIP_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=forcing_path_CMIP)\n",
+    "\n",
+    "# QDM_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=forcing_path_QDM)\n",
+    "\n",
+    "print(CMIP_forcing)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "09f9dfb3-40c9-4689-98b8-fd1ea8fd72d1",
+   "metadata": {},
+   "source": [
+    "### Load parameter sets & initial storages"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 131,
+   "id": "ca2be146-1112-4806-a44f-d57ebd4442c9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load calibration constants\n",
+    "\n",
+    "# par_0 = [4.45787, 0.42307, 201.57602, 2.36497, 0.26755, 8.62964, 0.083568, 0.0037073, 0.29645]\n",
+    "# par_0 = [2.79874, 0.49211, 255.96478, 1.782968, 0.503199, 6.095956, 0.33279, 0.10539, 0.63857]\n",
+    "# par_0 = [6.279135, 0.4808243, 174.127749, 1.9527195, 0.3305087, 6.19919, 0.0768362, 0.004366398, 0.4076606]         # 0.725 val, 0.x cal - Fav run 2\n",
+    "# par_0 = [6.28908, 0.423917, 173.56627, 1.63144, 0.402586, 6.56151, 0.0456809, 0.00313744, 0.516696]                 # 0.702 val, 0.x cal\n",
+    "# par_0 = [6.4919, 0.386877, 221.78625, 1.388269, 0.276453, 4.9870704, 0.04126777, 0.05640195, 1.148877]              # 0.668 val, 0.x cal\n",
+    "# par_0 = [7.502398, 0.38028, 194.1899, 1.680197, 0.47956, 4.8566806, 0.041745354, 0.02833896, 1.051862]              # 0.677 val, 0.x cal\n",
+    "# par_0 = [5.5464, 0.46496, 187.8548, 1.82803, 0.440628, 6.29496, 0.062766, 0.033095, 0.80392]                        # 0.781 val, 0.776 cal\n",
+    "# par_0 = [6.16512, 0.4369419, 151.2515900, 1.727835, 0.3771705, 6.19265974, 0.06959136, 0.001310818, 0.8130732]      # 0.664 val, 0.791 cal\n",
+    "# par_0 = [5.7107, 0.441634, 172.81305, 1.87367, 0.588802, 5.498147, 0.060305, 0.019666, 1.2011814]                    # x val, 0.73 cal         Start of 5+ months exclusion\n",
+    "# par_0 = [7.35776, 0.432509, 192.67085, 1.66088, 0.289296, 5.323766, 0.037268, 0.004399, 1.146504]                    # 0.82 val, 0.818 cal - Fav run 1      \n",
+    "# par_0 = [7.23868, 0.47495, 181.82012, 1.8232, 0.4884032, 5.546412, 0.0449439, 0.00231717, 1.25052]                    #  val,  0.77 cal    \n",
+    "# par_0 = [7.9355, 0.4593, 219.6962, 1.72624, 0.26391, 5.810765, 0.04804, 0.0155065, 0.76857]                           # 0.78 val, 0.71 cal - potential inclusion\n",
+    "\n",
+    "par_ensemble = [\n",
+    "    [6.279135, 0.4808243, 174.127749, 1.9527195, 0.3305087, 6.19919, 0.0768362, 0.004366398, 0.4076606],\n",
+    "    [7.35776, 0.432509, 192.67085, 1.66088, 0.289296, 5.323766, 0.037268, 0.004399, 1.146504],\n",
+    "    [7.9355, 0.4593, 219.6962, 1.72624, 0.26391, 5.810765, 0.04804, 0.0155065, 0.76857],\n",
+    "    [5.5464, 0.46496, 187.8548, 1.82803, 0.440628, 6.29496, 0.062766, 0.033095, 0.80392],\n",
+    "   [7.23868, 0.47495, 181.82012, 1.8232, 0.4884032, 5.546412, 0.0449439, 0.00231717, 1.25052]\n",
+    "]\n",
+    "\n",
+    "\n",
+    "par_names = [\"Imax\",         # Maximum interception storage\n",
+    "               \"Ce\",         # Evaporation correction factor\n",
+    "               \"Sumax\",      # Maximum soil moisture storage\n",
+    "               \"Beta\",       # Soil runoff parameter\n",
+    "               \"Pmax\",       # Maximum percolation rate\n",
+    "               \"Tlag\",       # Time lag\n",
+    "               \"Kf\",         # Fast reservoir recession coefficient\n",
+    "               \"Ks\",         # Slow reservoir recession coefficient\n",
+    "               \"FM\"          # Snowmelt factor\n",
+    "               ]\n",
+    "\n",
+    "# Initial: par_0 = [5.085, 0.55, 100.373, 1.612, 0.545, 3.801, 0.196, 0.00, 0.185]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 132,
+   "id": "d5e5bcb4-bf90-470b-90ed-4a0b9d80c35d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Storages\n",
+    "\n",
+    "#               Si,  Su, Sf, Ss, Sp\n",
+    "s_0 = np.array([0,  100,  0,  5,  0])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "06c977b4-ba9d-4e82-8415-42180eac9f01",
+   "metadata": {},
+   "source": [
+    "## 2. Model setup"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 133,
+   "id": "055bdbc8-af1f-41ac-ad1d-b4da4d6785f6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def run_hbv(parameters, initial_storages, forcing):\n",
+    "\n",
+    "    # Creating model object\n",
+    "    model = ewatercycle.models.HBV(forcing=forcing)\n",
+    "\n",
+    "    # Creating config file\n",
+    "    config_file, _ = model.setup(\n",
+    "        parameters=parameters,\n",
+    "        initial_storages=initial_storages,\n",
+    "        cfg_dir=hbv_config\n",
+    "    )\n",
+    "\n",
+    "    # Initialising model\n",
+    "    model.initialize(config_file)\n",
+    "\n",
+    "    # Define & update outputs\n",
+    "    Q_m = []\n",
+    "    time = []\n",
+    "\n",
+    "    while model.time < model.end_time:\n",
+    "        model.update()\n",
+    "        Q_m.append(model.get_value(\"Q\")[0])\n",
+    "        time.append(pd.Timestamp(model.time_as_datetime))\n",
+    "\n",
+    "    model.finalize()\n",
+    "\n",
+    "    # Convert mm/day to m3/s\n",
+    "    model_output_mmday = pd.Series(\n",
+    "        data=Q_m,\n",
+    "        index=time,\n",
+    "        name=\"Modelled discharge\"\n",
+    "    )\n",
+    "\n",
+    "    model_output_m3s = model_output_mmday * basin_size * 1000 / 86400\n",
+    "\n",
+    "    return model_output_m3s"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0eef7e02-1e23-4d1a-99a3-56c2d3b5f62f",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "650daf1f-e90f-4b5b-aac5-eca8965de7cf",
+   "metadata": {},
+   "source": [
+    "## 3. Running model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 135,
+   "id": "44092959-524a-4330-a274-77cfad0eacd6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def run_hbv_ensemble(par_ensemble, initial_storages, forcing):\n",
+    "\n",
+    "    # Define amount of parameter sets\n",
+    "    N = len(par_ensemble)\n",
+    "    \n",
+    "    # Create dataframe to append data to & add column for observed data\n",
+    "    ensemble_data = pd.DataFrame()\n",
+    "\n",
+    "    for i in range(N):\n",
+    "\n",
+    "        print(f\"Running parameter set {i+1}/{N}\")\n",
+    "\n",
+    "        # Run HBV model for the parameter sets \n",
+    "        simulated = run_hbv(\n",
+    "            parameters=par_ensemble[i],\n",
+    "            initial_storages=initial_storages,\n",
+    "            forcing=forcing\n",
+    "        )\n",
+    "\n",
+    "        # Filter data by day only, not by day & time to prevent alignment issues\n",
+    "        simulated_daily = simulated\n",
+    "\n",
+    "        simulated_daily.index = pd.to_datetime(simulated_daily.index).tz_localize(None).normalize()\n",
+    "        simulated_daily.name = f\"Set {i+1}\"\n",
+    "         \n",
+    "        # Append new column for every parameter set results\n",
+    "        ensemble_data[f\"Set {i+1}\"] = simulated\n",
+    "\n",
+    "    # Filter observed data by day\n",
+    "    observed_daily = observed_output\n",
+    "    observed_daily.index = pd.to_datetime(observed_daily.index).tz_localize(None).normalize()\n",
+    "\n",
+    "    # Add mean of all sets\n",
+    "    ensemble_data[\"Mean\"] = ensemble_data.mean(axis=1)\n",
+    "    ensemble_data['Observed discharge'] = observed_daily\n",
+    "\n",
+    "    return ensemble_data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 136,
+   "id": "079368de-30cf-491f-8cc9-2021f6a4bfa6",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m1\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m2\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m3\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m4\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m5\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Set 1</th>\n",
+       "      <th>Set 2</th>\n",
+       "      <th>Set 3</th>\n",
+       "      <th>Set 4</th>\n",
+       "      <th>Set 5</th>\n",
+       "      <th>Mean</th>\n",
+       "      <th>Observed discharge</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2025-01-02</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>191.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2025-01-03</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>196.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2025-01-04</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>201.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2025-01-05</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>203.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2025-01-06</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>202.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            Set 1  Set 2  Set 3  Set 4  Set 5  Mean  Observed discharge\n",
+       "2025-01-02    0.0    0.0    0.0    0.0    0.0   0.0               191.0\n",
+       "2025-01-03    0.0    0.0    0.0    0.0    0.0   0.0               196.0\n",
+       "2025-01-04    0.0    0.0    0.0    0.0    0.0   0.0               201.0\n",
+       "2025-01-05    0.0    0.0    0.0    0.0    0.0   0.0               203.0\n",
+       "2025-01-06    0.0    0.0    0.0    0.0    0.0   0.0               202.0"
+      ]
+     },
+     "execution_count": 136,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# ensemble_data_ERA5 = run_hbv_ensemble(\n",
+    "#     par_ensemble=par_ensemble,\n",
+    "#     initial_storages=s_0,\n",
+    "#     forcing=ERA5_forcing\n",
+    "# )\n",
+    "\n",
+    "ensemble_data_CMIP = run_hbv_ensemble(\n",
+    "    par_ensemble=par_ensemble,\n",
+    "    initial_storages=s_0,\n",
+    "    forcing=CMIP_forcing\n",
+    ")\n",
+    "\n",
+    "# ensemble_data_QDM = run_hbv_ensemble(\n",
+    "#     par_ensemble=par_ensemble,\n",
+    "#     initial_storages=s_0,\n",
+    "#     forcing=QDM_forcing\n",
+    "# )\n",
+    "\n",
+    "# ensemble_data_ERA5.head()\n",
+    "ensemble_data_CMIP.head()\n",
+    "# ensemble_data_QDM.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "96d6162f-f432-4dfc-9194-f522a2e6a6da",
+   "metadata": {},
+   "source": [
+    "## 4. LNSE Calculation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 137,
+   "id": "37567a9e-dff3-4c80-84e0-572a6ed72b68",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Calculate log NSE\n",
+    "\n",
+    "def LNSE(sim, obs):\n",
+    "    \n",
+    "    sim = sim.to_numpy()\n",
+    "    obs = obs.to_numpy()\n",
+    "\n",
+    "    # Avoid log(0)\n",
+    "    eps = 0.00000000001\n",
+    "\n",
+    "    log_sim = np.log(sim + eps)\n",
+    "    log_obs = np.log(obs + eps)\n",
+    "\n",
+    "    return 1 - np.sum((log_obs - log_sim) ** 2) / np.sum((log_obs - np.mean(log_obs)) ** 2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 138,
+   "id": "dc7850a4-dc30-4aa7-8719-4f810760c320",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Call log NSE for relevant timeperiod\n",
+    "\n",
+    "def lnse_ensemble(ensemble_data, lnse_start, lnse_end):\n",
+    "\n",
+    "    # Select evaluation period - skip first year for storages to fill\n",
+    "    combined_data = ensemble_data[\n",
+    "        (ensemble_data.index >= lnse_start) &\n",
+    "        (ensemble_data.index <= lnse_end)\n",
+    "    ].dropna()\n",
+    "\n",
+    "    # Exclude winter months\n",
+    "    combined_data = combined_data[\n",
+    "        ~combined_data.index.month.isin([12, 1, 2, 3, 4])\n",
+    "    ]\n",
+    "\n",
+    "    lnse_results = []\n",
+    "\n",
+    "    # Calculate LNSE for all sets\n",
+    "    for i in range(len(par_ensemble)):\n",
+    "        lnse_value = LNSE(\n",
+    "            combined_data[f\"Set {i+1}\"],\n",
+    "            combined_data[\"Observed discharge\"]\n",
+    "        )\n",
+    "\n",
+    "        # Append LNSE\n",
+    "        lnse_results.append({\n",
+    "            \"Set\": f\"Set {i+1}\",\n",
+    "            \"LNSE\": lnse_value\n",
+    "        })\n",
+    "\n",
+    "    # Calculate LNSE of ensemble mean\n",
+    "    mean_lnse = LNSE(\n",
+    "        combined_data[\"Mean\"],\n",
+    "        combined_data[\"Observed discharge\"]\n",
+    "    )\n",
+    "\n",
+    "    # Append LNSE\n",
+    "    lnse_results.append({\n",
+    "        \"Set\": \"Ensemble mean\",\n",
+    "        \"LNSE\": mean_lnse\n",
+    "    })\n",
+    "\n",
+    "    lnse_results = pd.DataFrame(lnse_results)\n",
+    "\n",
+    "    return lnse_results"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 139,
+   "id": "80962ebd-6ad7-48ce-b378-acd68ed03a1e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# lnse_results_ERA5 = lnse_ensemble(\n",
+    "#     ensemble_data=ensemble_data_ERA5,\n",
+    "#     lnse_start=evaluation_start,\n",
+    "#     lnse_end=validation_end_date\n",
+    "# )\n",
+    "\n",
+    "# lnse_results_CMIP = lnse_ensemble(\n",
+    "#     ensemble_data=ensemble_data_CMIP,\n",
+    "#     lnse_start=evaluation_start,\n",
+    "#     lnse_end=validation_end_date\n",
+    "# )\n",
+    "\n",
+    "# lnse_results_QDM = lnse_ensemble(\n",
+    "#     ensemble_data=ensemble_data_QDM,\n",
+    "#     lnse_start=evaluation_start,\n",
+    "#     lnse_end=validation_end_date\n",
+    "# )\n",
+    "\n",
+    "# lnse_results_CMIP\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d9b6a719-39c6-4872-87ff-cdb65d853e42",
+   "metadata": {},
+   "source": [
+    "## 5. Display results"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 140,
+   "id": "f519854a-a994-44fd-a428-4d0c6daa98e1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def plot_ensemble(ensemble_data, plot_start, plot_end):\n",
+    "\n",
+    "    plot_start = pd.to_datetime(plot_start)\n",
+    "    plot_end = pd.to_datetime(plot_end)\n",
+    "\n",
+    "    # Filter data to start & end time\n",
+    "    plot_data = ensemble_data[\n",
+    "        (ensemble_data.index >= plot_start) &\n",
+    "        (ensemble_data.index <= plot_end)\n",
+    "    ].dropna()\n",
+    "\n",
+    "    # Define figure\n",
+    "    plt.figure()\n",
+    "    plt.figure(figsize=(20, 8))\n",
+    "\n",
+    "    # Plot sets, observed data, ensemble mean and axhline, respectively\n",
+    "    for i in range(len(par_ensemble)):\n",
+    "        plt.plot(plot_data.index, plot_data[f\"Set {i+1}\"], color=\"orange\", alpha=0.3, label=\"Parameter sets\" if i == 0 else None)\n",
+    "\n",
+    "    plt.plot(plot_data.index, plot_data[\"Observed discharge\"], label=\"Observed discharge\", linewidth=3)\n",
+    "    plt.plot(plot_data.index, plot_data[\"Mean\"], label=\"Ensemble mean\", linewidth=3)\n",
+    "    plt.axhline(y=q_critical, linestyle=\":\", color=\"black\", label=f\"Critical discharge ({q_critical} m³/s)\")\n",
+    "\n",
+    "    # Extras\n",
+    "    plt.xlabel(\"Date\")\n",
+    "    plt.ylabel(\"Discharge (m³/s)\")\n",
+    "    plt.title(\"Observed vs modelled ensemble discharge at 07DA001\")\n",
+    "    plt.legend()\n",
+    "    plt.grid(True)\n",
+    "\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 141,
+   "id": "f1bb58f8-3dee-43eb-abc8-4af333b5d064",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Plot for full evaluation period\n",
+    "\n",
+    "# plot_ensemble_ERA5 = plot_ensemble(\n",
+    "#     ensemble_data=ensemble_data_ERA5,\n",
+    "#     plot_start=evaluation_start,\n",
+    "#     plot_end=validation_end_date\n",
+    "# )\n",
+    "\n",
+    "# plot_ensemble_CMIP = plot_ensemble(\n",
+    "#     ensemble_data=ensemble_data_CMIP,\n",
+    "#     plot_start=evaluation_start,\n",
+    "#     plot_end=validation_end_date\n",
+    "# )\n",
+    "\n",
+    "# plot_ensemble_QDM = plot_ensemble(\n",
+    "#     ensemble_data=ensemble_data_QDM,\n",
+    "#     plot_start=evaluation_start,\n",
+    "#     plot_end=validation_end_date\n",
+    "# )"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 142,
+   "id": "b835010a-b272-46b7-9c20-b0db1a99506b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 640x480 with 0 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 2000x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot for selected year\n",
+    "\n",
+    "selected_year = 2036\n",
+    "\n",
+    "# plot_ensemble(\n",
+    "#     ensemble_data=ensemble_data_ERA5,\n",
+    "#     plot_start=pd.to_datetime(f\"{selected_year}-01-01\"),\n",
+    "#     plot_end=pd.to_datetime(f\"{selected_year}-12-31\")\n",
+    "# )\n",
+    "\n",
+    "plot_ensemble(\n",
+    "    ensemble_data=ensemble_data_CMIP,\n",
+    "    plot_start=pd.to_datetime(f\"{selected_year}-01-01\"),\n",
+    "    plot_end=pd.to_datetime(f\"{selected_year}-12-31\")\n",
+    ")\n",
+    "\n",
+    "# plot_ensemble(\n",
+    "#     ensemble_data=ensemble_data_QDM,\n",
+    "#     plot_start=pd.to_datetime(f\"{selected_year}-01-01\"),\n",
+    "#     plot_end=pd.to_datetime(f\"{selected_year}-12-31\")\n",
+    "# )"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d017577d-79da-4a97-9522-81f4c307f3aa",
+   "metadata": {},
+   "source": [
+    "## 6. Lowflow calculation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 143,
+   "id": "dcc14e37-5aea-4b00-ae71-32b68ee03d4a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def lowflow_counter_ensemble(ensemble_data, start_date, end_date):\n",
+    "    \n",
+    "    lowflow_days = []\n",
+    "\n",
+    "    years = list(range(start_date.year, end_date.year + 1))\n",
+    "\n",
+    "    for i in range(len(years)):\n",
+    "    \n",
+    "        year = years[i]\n",
+    "    \n",
+    "        # Define start and end month-day\n",
+    "        year_start = pd.to_datetime(f\"{year}-05-18\")\n",
+    "        year_end = pd.to_datetime(f\"{year}-10-17\")\n",
+    "    \n",
+    "        year_data = ensemble_data[\n",
+    "            (ensemble_data.index >= year_start) &\n",
+    "            (ensemble_data.index <= year_end)\n",
+    "        ]\n",
+    "\n",
+    "        # Set zeros to count from\n",
+    "        observed_lowflow_days = 0\n",
+    "        modelled_lowflow_days = []\n",
+    "        modelmean_lowflow_days = 0\n",
+    "\n",
+    "        # Count observed lowflow days\n",
+    "        for j in range(len(year_data)):\n",
+    "            observed_q = year_data.iloc[j][\"Observed discharge\"]\n",
+    "\n",
+    "            if observed_q < q_critical:\n",
+    "                observed_lowflow_days += 1\n",
+    "\n",
+    "        # Count model mean lowflow days\n",
+    "        for j in range(len(year_data)):\n",
+    "            modelmean_q = year_data.iloc[j][\"Mean\"]\n",
+    "\n",
+    "            if modelmean_q < q_critical:\n",
+    "                modelmean_lowflow_days += 1\n",
+    "\n",
+    "        # Count modelled lowflow days\n",
+    "        for j in range(len(par_ensemble)):\n",
+    "            set_lowflow_days = 0\n",
+    "\n",
+    "            for k in range(len(year_data)):\n",
+    "                set_q = year_data.iloc[k][f\"Set {j+1}\"]\n",
+    "\n",
+    "                if set_q < q_critical:\n",
+    "                    set_lowflow_days += 1\n",
+    "\n",
+    "            modelled_lowflow_days.append(set_lowflow_days)\n",
+    "\n",
+    "        setavg_lowflow_days = np.mean(modelled_lowflow_days)\n",
+    "        \n",
+    "        lowflow_days.append({\n",
+    "            \"year\": year,\n",
+    "            \"observed\": observed_lowflow_days,\n",
+    "            \"modelmean\": modelmean_lowflow_days,\n",
+    "            \"set_1\": modelled_lowflow_days[0],\n",
+    "            \"set_2\": modelled_lowflow_days[1],\n",
+    "            \"set_3\": modelled_lowflow_days[2],\n",
+    "            \"set_4\": modelled_lowflow_days[3],\n",
+    "            \"set_5\": modelled_lowflow_days[4],\n",
+    "            \"set_avg\": np.round(setavg_lowflow_days)\n",
+    "        })\n",
+    "\n",
+    "    lowflow_days = pd.DataFrame(lowflow_days)\n",
+    "\n",
+    "    days_sum = lowflow_days[[\"observed\", \"modelmean\", \"set_1\", \"set_2\", \"set_3\", \"set_4\", \"set_5\", \"set_avg\"]].sum()\n",
+    "\n",
+    "    print(days_sum)\n",
+    "\n",
+    "    return lowflow_days"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 147,
+   "id": "7460b853-5619-44c9-ac89-3c6fc099bde6",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">observed        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.0</span>\n",
+       "modelmean     <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">878.0</span>\n",
+       "set_1        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1159.0</span>\n",
+       "set_2         <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">760.0</span>\n",
+       "set_3         <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">889.0</span>\n",
+       "set_4         <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">980.0</span>\n",
+       "set_5         <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">557.0</span>\n",
+       "set_avg       <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">870.0</span>\n",
+       "dtype: float64\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "observed        \u001b[1;36m0.0\u001b[0m\n",
+       "modelmean     \u001b[1;36m878.0\u001b[0m\n",
+       "set_1        \u001b[1;36m1159.0\u001b[0m\n",
+       "set_2         \u001b[1;36m760.0\u001b[0m\n",
+       "set_3         \u001b[1;36m889.0\u001b[0m\n",
+       "set_4         \u001b[1;36m980.0\u001b[0m\n",
+       "set_5         \u001b[1;36m557.0\u001b[0m\n",
+       "set_avg       \u001b[1;36m870.0\u001b[0m\n",
+       "dtype: float64\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>year</th>\n",
+       "      <th>observed</th>\n",
+       "      <th>modelmean</th>\n",
+       "      <th>set_1</th>\n",
+       "      <th>set_2</th>\n",
+       "      <th>set_3</th>\n",
+       "      <th>set_4</th>\n",
+       "      <th>set_5</th>\n",
+       "      <th>set_avg</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2026</td>\n",
+       "      <td>0</td>\n",
+       "      <td>22</td>\n",
+       "      <td>48</td>\n",
+       "      <td>16</td>\n",
+       "      <td>19</td>\n",
+       "      <td>19</td>\n",
+       "      <td>20</td>\n",
+       "      <td>24.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2027</td>\n",
+       "      <td>0</td>\n",
+       "      <td>34</td>\n",
+       "      <td>51</td>\n",
+       "      <td>25</td>\n",
+       "      <td>36</td>\n",
+       "      <td>39</td>\n",
+       "      <td>22</td>\n",
+       "      <td>35.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2028</td>\n",
+       "      <td>0</td>\n",
+       "      <td>22</td>\n",
+       "      <td>27</td>\n",
+       "      <td>19</td>\n",
+       "      <td>22</td>\n",
+       "      <td>22</td>\n",
+       "      <td>13</td>\n",
+       "      <td>21.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2029</td>\n",
+       "      <td>0</td>\n",
+       "      <td>25</td>\n",
+       "      <td>38</td>\n",
+       "      <td>20</td>\n",
+       "      <td>25</td>\n",
+       "      <td>26</td>\n",
+       "      <td>10</td>\n",
+       "      <td>24.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2030</td>\n",
+       "      <td>0</td>\n",
+       "      <td>75</td>\n",
+       "      <td>86</td>\n",
+       "      <td>71</td>\n",
+       "      <td>73</td>\n",
+       "      <td>82</td>\n",
+       "      <td>54</td>\n",
+       "      <td>73.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>2031</td>\n",
+       "      <td>0</td>\n",
+       "      <td>45</td>\n",
+       "      <td>52</td>\n",
+       "      <td>29</td>\n",
+       "      <td>42</td>\n",
+       "      <td>47</td>\n",
+       "      <td>4</td>\n",
+       "      <td>35.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>2032</td>\n",
+       "      <td>0</td>\n",
+       "      <td>52</td>\n",
+       "      <td>62</td>\n",
+       "      <td>46</td>\n",
+       "      <td>52</td>\n",
+       "      <td>60</td>\n",
+       "      <td>32</td>\n",
+       "      <td>50.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>2033</td>\n",
+       "      <td>0</td>\n",
+       "      <td>44</td>\n",
+       "      <td>49</td>\n",
+       "      <td>41</td>\n",
+       "      <td>48</td>\n",
+       "      <td>50</td>\n",
+       "      <td>28</td>\n",
+       "      <td>43.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>2034</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>11</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>14</td>\n",
+       "      <td>0</td>\n",
+       "      <td>5.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>2035</td>\n",
+       "      <td>0</td>\n",
+       "      <td>143</td>\n",
+       "      <td>141</td>\n",
+       "      <td>145</td>\n",
+       "      <td>143</td>\n",
+       "      <td>145</td>\n",
+       "      <td>142</td>\n",
+       "      <td>143.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>2036</td>\n",
+       "      <td>0</td>\n",
+       "      <td>35</td>\n",
+       "      <td>43</td>\n",
+       "      <td>31</td>\n",
+       "      <td>35</td>\n",
+       "      <td>39</td>\n",
+       "      <td>25</td>\n",
+       "      <td>35.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>2037</td>\n",
+       "      <td>0</td>\n",
+       "      <td>35</td>\n",
+       "      <td>42</td>\n",
+       "      <td>30</td>\n",
+       "      <td>33</td>\n",
+       "      <td>36</td>\n",
+       "      <td>27</td>\n",
+       "      <td>34.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>2038</td>\n",
+       "      <td>0</td>\n",
+       "      <td>63</td>\n",
+       "      <td>75</td>\n",
+       "      <td>47</td>\n",
+       "      <td>60</td>\n",
+       "      <td>73</td>\n",
+       "      <td>40</td>\n",
+       "      <td>59.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>2039</td>\n",
+       "      <td>0</td>\n",
+       "      <td>53</td>\n",
+       "      <td>59</td>\n",
+       "      <td>49</td>\n",
+       "      <td>53</td>\n",
+       "      <td>55</td>\n",
+       "      <td>38</td>\n",
+       "      <td>51.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>2040</td>\n",
+       "      <td>0</td>\n",
+       "      <td>46</td>\n",
+       "      <td>73</td>\n",
+       "      <td>49</td>\n",
+       "      <td>55</td>\n",
+       "      <td>44</td>\n",
+       "      <td>8</td>\n",
+       "      <td>46.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>2041</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>6</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>2042</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>2043</td>\n",
+       "      <td>0</td>\n",
+       "      <td>30</td>\n",
+       "      <td>53</td>\n",
+       "      <td>20</td>\n",
+       "      <td>35</td>\n",
+       "      <td>43</td>\n",
+       "      <td>11</td>\n",
+       "      <td>32.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>2044</td>\n",
+       "      <td>0</td>\n",
+       "      <td>59</td>\n",
+       "      <td>63</td>\n",
+       "      <td>56</td>\n",
+       "      <td>60</td>\n",
+       "      <td>61</td>\n",
+       "      <td>48</td>\n",
+       "      <td>58.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>2045</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>15</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>4.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>2046</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>13</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>2047</td>\n",
+       "      <td>0</td>\n",
+       "      <td>23</td>\n",
+       "      <td>34</td>\n",
+       "      <td>15</td>\n",
+       "      <td>23</td>\n",
+       "      <td>26</td>\n",
+       "      <td>0</td>\n",
+       "      <td>20.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>2048</td>\n",
+       "      <td>0</td>\n",
+       "      <td>24</td>\n",
+       "      <td>37</td>\n",
+       "      <td>15</td>\n",
+       "      <td>24</td>\n",
+       "      <td>29</td>\n",
+       "      <td>11</td>\n",
+       "      <td>23.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>2049</td>\n",
+       "      <td>0</td>\n",
+       "      <td>33</td>\n",
+       "      <td>57</td>\n",
+       "      <td>27</td>\n",
+       "      <td>32</td>\n",
+       "      <td>49</td>\n",
+       "      <td>24</td>\n",
+       "      <td>38.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>2050</td>\n",
+       "      <td>0</td>\n",
+       "      <td>15</td>\n",
+       "      <td>22</td>\n",
+       "      <td>6</td>\n",
+       "      <td>15</td>\n",
+       "      <td>16</td>\n",
+       "      <td>0</td>\n",
+       "      <td>12.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    year  observed  modelmean  set_1  set_2  set_3  set_4  set_5  set_avg\n",
+       "0   2026         0         22     48     16     19     19     20     24.0\n",
+       "1   2027         0         34     51     25     36     39     22     35.0\n",
+       "2   2028         0         22     27     19     22     22     13     21.0\n",
+       "3   2029         0         25     38     20     25     26     10     24.0\n",
+       "4   2030         0         75     86     71     73     82     54     73.0\n",
+       "5   2031         0         45     52     29     42     47      4     35.0\n",
+       "6   2032         0         52     62     46     52     60     32     50.0\n",
+       "7   2033         0         44     49     41     48     50     28     43.0\n",
+       "8   2034         0          0     11      0      1     14      0      5.0\n",
+       "9   2035         0        143    141    145    143    145    142    143.0\n",
+       "10  2036         0         35     43     31     35     39     25     35.0\n",
+       "11  2037         0         35     42     30     33     36     27     34.0\n",
+       "12  2038         0         63     75     47     60     73     40     59.0\n",
+       "13  2039         0         53     59     49     53     55     38     51.0\n",
+       "14  2040         0         46     73     49     55     44      8     46.0\n",
+       "15  2041         0          0      6      3      0      3      0      2.0\n",
+       "16  2042         0          0      2      0      0      0      0      0.0\n",
+       "17  2043         0         30     53     20     35     43     11     32.0\n",
+       "18  2044         0         59     63     56     60     61     48     58.0\n",
+       "19  2045         0          0     15      0      3      2      0      4.0\n",
+       "20  2046         0          0     13      0      0      0      0      3.0\n",
+       "21  2047         0         23     34     15     23     26      0     20.0\n",
+       "22  2048         0         24     37     15     24     29     11     23.0\n",
+       "23  2049         0         33     57     27     32     49     24     38.0\n",
+       "24  2050         0         15     22      6     15     16      0     12.0"
+      ]
+     },
+     "execution_count": 147,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# lowflow_ERA5 = lowflow_counter_ensemble(\n",
+    "#     ensemble_data=ensemble_data_ERA5,\n",
+    "#     start_date=evaluation_start,\n",
+    "#     end_date=validation_end_date\n",
+    "# )\n",
+    "\n",
+    "lowflow_CMIP = lowflow_counter_ensemble(\n",
+    "    ensemble_data=ensemble_data_CMIP,\n",
+    "    start_date=evaluation_start,\n",
+    "    end_date=validation_end_date\n",
+    ")\n",
+    "\n",
+    "# lowflow_QDM = lowflow_counter_ensemble(\n",
+    "#     ensemble_data=ensemble_data_QDM,\n",
+    "#     start_date=evaluation_start,\n",
+    "#     end_date=validation_end_date\n",
+    "# )\n",
+    "\n",
+    "lowflow_CMIP"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d98001e7-ada9-4415-ae0b-ed7cb8888319",
+   "metadata": {},
+   "source": [
+    "## 7. Cumsum"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 145,
+   "id": "1e9e205d-08bf-4f19-9b12-a0141a4fad99",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def rank(lowflow_ERA5, lowflow_CMIP):\n",
+    "\n",
+    "    # Combine tables\n",
+    "    rank_table = pd.DataFrame({\n",
+    "        \"Observed\": np.sort(lowflow_ERA5[\"observed\"]),\n",
+    "        \"ERA5\": np.sort(lowflow_ERA5[\"set_avg\"]),\n",
+    "        \"CMIP6\": np.sort(lowflow_CMIP[\"set_avg\"]),\n",
+    "        \"QDM\": np.sort(lowflow_QDM[\"set_avg\"])\n",
+    "    })\n",
+    "    \n",
+    "    rank_table.insert(0, \"rank\", range(1, len(rank_table) + 1))\n",
+    "\n",
+    "    return rank_table"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 146,
+   "id": "02d8a545-838c-4da5-9935-22f34d49f4ee",
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "ValueError",
+     "evalue": "All arrays must be of the same length",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[146], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m rank_table \u001b[38;5;241m=\u001b[39m \u001b[43mrank\u001b[49m\u001b[43m(\u001b[49m\u001b[43mlowflow_ERA5\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlowflow_CMIP\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m      2\u001b[0m rank_table \u001b[38;5;241m=\u001b[39m rank(lowflow_ERA5, lowflow_CMIP)\n\u001b[1;32m      4\u001b[0m rank_table\n",
+      "Cell \u001b[0;32mIn[145], line 4\u001b[0m, in \u001b[0;36mrank\u001b[0;34m(lowflow_ERA5, lowflow_CMIP)\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21mrank\u001b[39m(lowflow_ERA5, lowflow_CMIP):\n\u001b[1;32m      2\u001b[0m \n\u001b[1;32m      3\u001b[0m     \u001b[38;5;66;03m# Combine tables\u001b[39;00m\n\u001b[0;32m----> 4\u001b[0m     rank_table \u001b[38;5;241m=\u001b[39m \u001b[43mpd\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mDataFrame\u001b[49m\u001b[43m(\u001b[49m\u001b[43m{\u001b[49m\n\u001b[1;32m      5\u001b[0m \u001b[43m        \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mObserved\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msort\u001b[49m\u001b[43m(\u001b[49m\u001b[43mlowflow_ERA5\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mobserved\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m      6\u001b[0m \u001b[43m        \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mERA5\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msort\u001b[49m\u001b[43m(\u001b[49m\u001b[43mlowflow_ERA5\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mset_avg\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m      7\u001b[0m \u001b[43m        \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mCMIP6\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msort\u001b[49m\u001b[43m(\u001b[49m\u001b[43mlowflow_CMIP\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mset_avg\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m      8\u001b[0m \u001b[43m        \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mQDM\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msort\u001b[49m\u001b[43m(\u001b[49m\u001b[43mlowflow_QDM\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mset_avg\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m      9\u001b[0m \u001b[43m    \u001b[49m\u001b[43m}\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     11\u001b[0m     rank_table\u001b[38;5;241m.\u001b[39minsert(\u001b[38;5;241m0\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mrank\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28mrange\u001b[39m(\u001b[38;5;241m1\u001b[39m, \u001b[38;5;28mlen\u001b[39m(rank_table) \u001b[38;5;241m+\u001b[39m \u001b[38;5;241m1\u001b[39m))\n\u001b[1;32m     13\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m rank_table\n",
+      "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/pandas/core/frame.py:778\u001b[0m, in \u001b[0;36mDataFrame.__init__\u001b[0;34m(self, data, index, columns, dtype, copy)\u001b[0m\n\u001b[1;32m    772\u001b[0m     mgr \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_init_mgr(\n\u001b[1;32m    773\u001b[0m         data, axes\u001b[38;5;241m=\u001b[39m{\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mindex\u001b[39m\u001b[38;5;124m\"\u001b[39m: index, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcolumns\u001b[39m\u001b[38;5;124m\"\u001b[39m: columns}, dtype\u001b[38;5;241m=\u001b[39mdtype, copy\u001b[38;5;241m=\u001b[39mcopy\n\u001b[1;32m    774\u001b[0m     )\n\u001b[1;32m    776\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(data, \u001b[38;5;28mdict\u001b[39m):\n\u001b[1;32m    777\u001b[0m     \u001b[38;5;66;03m# GH#38939 de facto copy defaults to False only in non-dict cases\u001b[39;00m\n\u001b[0;32m--> 778\u001b[0m     mgr \u001b[38;5;241m=\u001b[39m \u001b[43mdict_to_mgr\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdata\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mindex\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcolumns\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdtype\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdtype\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcopy\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcopy\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtyp\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmanager\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    779\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(data, ma\u001b[38;5;241m.\u001b[39mMaskedArray):\n\u001b[1;32m    780\u001b[0m     \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mnumpy\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mma\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m mrecords\n",
+      "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/pandas/core/internals/construction.py:503\u001b[0m, in \u001b[0;36mdict_to_mgr\u001b[0;34m(data, index, columns, dtype, typ, copy)\u001b[0m\n\u001b[1;32m    499\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m    500\u001b[0m         \u001b[38;5;66;03m# dtype check to exclude e.g. range objects, scalars\u001b[39;00m\n\u001b[1;32m    501\u001b[0m         arrays \u001b[38;5;241m=\u001b[39m [x\u001b[38;5;241m.\u001b[39mcopy() \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mhasattr\u001b[39m(x, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdtype\u001b[39m\u001b[38;5;124m\"\u001b[39m) \u001b[38;5;28;01melse\u001b[39;00m x \u001b[38;5;28;01mfor\u001b[39;00m x \u001b[38;5;129;01min\u001b[39;00m arrays]\n\u001b[0;32m--> 503\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43marrays_to_mgr\u001b[49m\u001b[43m(\u001b[49m\u001b[43marrays\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcolumns\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mindex\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdtype\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdtype\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtyp\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtyp\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mconsolidate\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcopy\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/pandas/core/internals/construction.py:114\u001b[0m, in \u001b[0;36marrays_to_mgr\u001b[0;34m(arrays, columns, index, dtype, verify_integrity, typ, consolidate)\u001b[0m\n\u001b[1;32m    111\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m verify_integrity:\n\u001b[1;32m    112\u001b[0m     \u001b[38;5;66;03m# figure out the index, if necessary\u001b[39;00m\n\u001b[1;32m    113\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m index \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m--> 114\u001b[0m         index \u001b[38;5;241m=\u001b[39m \u001b[43m_extract_index\u001b[49m\u001b[43m(\u001b[49m\u001b[43marrays\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    115\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m    116\u001b[0m         index \u001b[38;5;241m=\u001b[39m ensure_index(index)\n",
+      "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/pandas/core/internals/construction.py:677\u001b[0m, in \u001b[0;36m_extract_index\u001b[0;34m(data)\u001b[0m\n\u001b[1;32m    675\u001b[0m lengths \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mlist\u001b[39m(\u001b[38;5;28mset\u001b[39m(raw_lengths))\n\u001b[1;32m    676\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(lengths) \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m1\u001b[39m:\n\u001b[0;32m--> 677\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mAll arrays must be of the same length\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m    679\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m have_dicts:\n\u001b[1;32m    680\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[1;32m    681\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mMixing dicts with non-Series may lead to ambiguous ordering.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    682\u001b[0m     )\n",
+      "\u001b[0;31mValueError\u001b[0m: All arrays must be of the same length"
+     ]
+    }
+   ],
+   "source": [
+    "rank_table = rank(lowflow_ERA5, lowflow_CMIP)\n",
+    "rank_table = rank(lowflow_ERA5, lowflow_CMIP)\n",
+    "\n",
+    "rank_table"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f87182f3-7a63-4856-9594-f53b5dd421b8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "cumsum_table = pd.DataFrame({\n",
+    "    \"Observed_cumsum\": rank_table[\"Observed\"].cumsum(),\n",
+    "     \"ERA5_cumsum\": rank_table[\"ERA5\"].cumsum(),\n",
+    "    \"CMIP6_cumsum\": rank_table[\"CMIP6\"].cumsum(),\n",
+    "    \"QDM_cumsum\": rank_table[\"QDM\"].cumsum()\n",
+    "})\n",
+    "\n",
+    "cumsum_table"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "78105310-3388-48fa-9471-54003b019753",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def plot_cumsum(rank_table):\n",
+    "\n",
+    "    plt.figure(figsize=(8, 5))\n",
+    "\n",
+    "    # Plot cumsum for all columns, skipping rank column\n",
+    "    for i in range(1, len(rank_table.columns)):\n",
+    "        plt.plot(\n",
+    "            rank_table[\"rank\"],\n",
+    "            rank_table[rank_table.columns[i]].cumsum(),\n",
+    "            marker=\"o\",\n",
+    "            label=rank_table.columns[i]\n",
+    "        )\n",
+    "\n",
+    "    # Plotting\n",
+    "    plt.xlabel(\"Ranked years\")\n",
+    "    plt.ylabel(\"Cumulative low flow days\")\n",
+    "    plt.xticks(rank_table[\"rank\"])\n",
+    "    plt.title(\"Cumulative annual low flow days\")\n",
+    "    # plt.grid(True)\n",
+    "    plt.legend()\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b3fa8488-2d3f-4dbd-b82c-e3f8c5bb04d8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plot_cumsum(rank_table)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3abc8ad5-90fd-4ce8-bb44-4a5d8540b1d9",
+   "metadata": {},
+   "source": [
+    "## 8. Quantile Mapping"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cee6e4aa-f4be-45c7-9d7a-d70782c60ad4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def quantile_mapping(observed, modelled, n):\n",
+    "    # Define a common quantile grid (e.g., 1000 points between 0 and 1)\n",
+    "    quantiles = np.linspace(0, 1, n)\n",
+    "\n",
+    "    # Sort the data\n",
+    "    observed_sorted = np.sort(observed)\n",
+    "    modelled_sorted = np.sort(modelled)\n",
+    "\n",
+    "    # Interpolate both series onto the common quantile grid\n",
+    "    observed_interpolated = interp1d(np.linspace(0, 1, len(observed_sorted)), observed_sorted, bounds_error=False, fill_value=\"extrapolate\")\n",
+    "    modelled_interpolated = interp1d(np.linspace(0, 1, len(modelled_sorted)), modelled_sorted, bounds_error=False, fill_value=\"extrapolate\")\n",
+    "\n",
+    "    observed_on_quantiles = observed_interpolated(quantiles)\n",
+    "    modelled_on_quantiles = modelled_interpolated(quantiles)\n",
+    "\n",
+    "    # Create mapping from modelled deficits to observed using interpolation\n",
+    "    mapping_function = interp1d(modelled_on_quantiles, observed_on_quantiles, bounds_error=False, fill_value=\"extrapolate\")\n",
+    "\n",
+    "    return mapping_function"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ccfd9d00-8165-4a95-a9bc-04d017c2d150",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def correct_discharge_ensemble(\n",
+    "    ensemble_data,\n",
+    "    observed_output,\n",
+    "    start_date,\n",
+    "    end_date,\n",
+    "    n=1000\n",
+    "):\n",
+    "\n",
+    "    corrected_data = pd.DataFrame(index=ensemble_data.index)\n",
+    "\n",
+    "    # Prepare observed discharge\n",
+    "    observed = observed_output.copy()\n",
+    "    observed.index = pd.to_datetime(observed.index).tz_localize(None).normalize()\n",
+    "\n",
+    "    # Prepare model data\n",
+    "    modelled = ensemble_data.copy()\n",
+    "    modelled.index = pd.to_datetime(modelled.index).tz_localize(None).normalize()\n",
+    "\n",
+    "    # Select calibration period\n",
+    "    start_date = pd.to_datetime(start_date).tz_localize(None).normalize()\n",
+    "    end_date = pd.to_datetime(end_date).tz_localize(None).normalize()\n",
+    "\n",
+    "    observed_period = observed[(observed.index >= start_date) & (observed.index <= end_date)]\n",
+    "    modelled_period = modelled[(modelled.index >= start_date) & (modelled.index <= end_date)]\n",
+    "\n",
+    "    # Correct every parameter set\n",
+    "    for i in range(len(par_ensemble)):\n",
+    "\n",
+    "        set_name = f\"Set {i+1}\"\n",
+    "\n",
+    "        qm_function = quantile_mapping(\n",
+    "            observed=observed_period,\n",
+    "            modelled=modelled_period[set_name],\n",
+    "            n=n\n",
+    "        )\n",
+    "\n",
+    "        corrected_data[set_name] = qm_function(modelled[set_name])\n",
+    "\n",
+    "    # Remove negative discharge\n",
+    "    corrected_data[corrected_data < 0] = 0\n",
+    "\n",
+    "    # Recalculate mean\n",
+    "    corrected_data[\"Mean\"] = corrected_data.mean(axis=1)\n",
+    "\n",
+    "    # Add observed discharge for comparison\n",
+    "    corrected_data[\"Observed discharge\"] = observed\n",
+    "\n",
+    "    return corrected_data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2d4ef549-838f-44ce-884b-99c5a3447cbd",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ensemble_data_CMIP_corrected = correct_discharge_ensemble(\n",
+    "    ensemble_data=ensemble_data_CMIP,\n",
+    "    observed_output=observed_output,\n",
+    "    start_date=evaluation_start,\n",
+    "    end_date=validation_end_date,\n",
+    "    n=1000\n",
+    ")\n",
+    "\n",
+    "ensemble_data_CMIP_corrected.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "63008778-e23d-4fae-b8f9-f61c789934d7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "lowflow_CMIP_corrected = lowflow_counter_ensemble(\n",
+    "    ensemble_data=ensemble_data_CMIP_corrected,\n",
+    "    start_date=evaluation_start,\n",
+    "    end_date=validation_end_date\n",
+    ")\n",
+    "\n",
+    "lowflow_CMIP_corrected"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "14776cc2-254f-49bf-9c37-5bb2c3295806",
+   "metadata": {},
+   "source": [
+    "## 9. Test test"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ad520100-76e2-4a62-b450-4e010ca226d3",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "39bd4f11-bc62-4310-a64d-0a7742962a5d",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "09522b58-9fc4-4222-92d7-6d6d241e13df",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "64d999a0-114a-4c60-bf94-516959483af9",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "242c2ced-687e-48a6-b160-e50c208e50cb",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/Workyard/Step7_CMIP_Projections.ipynb b/Workyard/Step7_CMIP_Projections.ipynb
new file mode 100644
index 00000000..14bbe386
--- /dev/null
+++ b/Workyard/Step7_CMIP_Projections.ipynb
@@ -0,0 +1,489 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "6571f48a-467c-4dc9-8c4b-6029d09672e7",
+   "metadata": {},
+   "source": [
+    "# CMIP Projections\n",
+    "\n",
+    "The 5 parameter sets calculkated in Calibration_HBV.ipynb will be used for a validation period, in which the log NSE will be calculated, a mean will be calculated and total low flow days during the navigation season.\n",
+    "\n",
+    "The structure of this notebook is as follows:\n",
+    "\n",
+    "### 1. Startup\n",
+    "### 2. Model setup\n",
+    "### 3. Running model\n",
+    "### 4. Lowflow calculation"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "14ec2576-8826-48ce-9b0d-3c28be7fec68",
+   "metadata": {},
+   "source": [
+    "## 1. Startup"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "71668e92-f5c4-49b2-9eed-20f91997c193",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Imports\n",
+    "\n",
+    "# General python\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\", category=UserWarning)\n",
+    "\n",
+    "import numpy as np\n",
+    "from pathlib import Path\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import xarray as xr\n",
+    "from scipy.interpolate import interp1d\n",
+    "\n",
+    "# Niceties\n",
+    "from rich import print"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "f2135c0b-ba31-4f05-bf37-435a99b1788f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General eWaterCycle\n",
+    "import ewatercycle\n",
+    "import ewatercycle.models\n",
+    "import ewatercycle.forcing"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "c5166bb7-f81f-4967-a65a-d1933464ce7f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Defining things\n",
+    "\n",
+    "basin_size = 132572\n",
+    "q_critical = 500\n",
+    "\n",
+    "start_year = 2025\n",
+    "end_year = 2050\n",
+    "\n",
+    "# Choose CMIP Scenario: \n",
+    "Scenario = \"ssp126\"    # Options: historical, ssp119, ssp126, ssp245, ssp,370, ssp585\n",
+    "# Scenario = {\"ssp126\", \"ssp245\", \"ssp370\"}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c398fe4d-66fb-430a-8f82-ad85e924f592",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create pathways for ERA 5 forcings\n",
+    "\n",
+    "forcing_path_CMIP = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / Scenario / f\"CMIP6-{start_year}-{end_year}\"\n",
+    "\n",
+    "shape_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "\n",
+    "hbv_config = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"hbv_config\"\n",
+    "hbv_config.mkdir(parents=True, exist_ok=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "a7bab7da-b7e7-442c-b4b0-e5c3b0ededcb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Adjust time period\n",
+    "\n",
+    "validation_start = f\"{start_year}-01-01T00:00:00Z\"\n",
+    "validation_end = f\"{end_year}-12-31T00:00:00Z\"\n",
+    "\n",
+    "# Define time period\n",
+    "validation_start_date = pd.to_datetime(validation_start.replace(\"Z\", \"\"))\n",
+    "validation_end_date = pd.to_datetime(validation_end.replace(\"Z\", \"\"))\n",
+    "\n",
+    "# Skip 1 year for filling storages\n",
+    "evaluation_start = pd.to_datetime(f\"{validation_start_date.year + 1}-01-01\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "47ca81c0-59ac-40b1-8cdd-ea6bb4ea1e0d",
+   "metadata": {},
+   "source": [
+    "### Load CMIP data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "c0873cb8-69da-49cd-84fe-d45d9684277f",
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "NameError",
+     "evalue": "name 'forcing_path_CMIP' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[6], line 2\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;66;03m# Load data\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m CMIP_forcing \u001b[38;5;241m=\u001b[39m ewatercycle\u001b[38;5;241m.\u001b[39mforcing\u001b[38;5;241m.\u001b[39msources[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mLumpedMakkinkForcing\u001b[39m\u001b[38;5;124m\"\u001b[39m]\u001b[38;5;241m.\u001b[39mload(directory\u001b[38;5;241m=\u001b[39m\u001b[43mforcing_path_CMIP\u001b[49m)\n\u001b[1;32m      4\u001b[0m \u001b[38;5;28mprint\u001b[39m(CMIP_forcing)\n",
+      "\u001b[0;31mNameError\u001b[0m: name 'forcing_path_CMIP' is not defined"
+     ]
+    }
+   ],
+   "source": [
+    "# Load data\n",
+    "CMIP_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=forcing_path_CMIP)\n",
+    "\n",
+    "print(CMIP_forcing)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f4a7211e-cb74-4a90-8229-de7000cf2dd5",
+   "metadata": {},
+   "source": [
+    "## 2. Model setup"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d31e5426-3e95-4902-913c-c40da613b8aa",
+   "metadata": {},
+   "source": [
+    "### Load parameter sets & initial storages"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d776ff36-b69a-4321-9468-d4fa85350ef3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Define parameter ensemble\n",
+    "\n",
+    "par_ensemble = [\n",
+    "    [6.279135, 0.4808243, 174.127749, 1.9527195, 0.3305087, 6.19919, 0.0768362, 0.004366398, 0.4076606],\n",
+    "    [7.35776, 0.432509, 192.67085, 1.66088, 0.289296, 5.323766, 0.037268, 0.004399, 1.146504],\n",
+    "    [7.9355, 0.4593, 219.6962, 1.72624, 0.26391, 5.810765, 0.04804, 0.0155065, 0.76857],\n",
+    "    [5.5464, 0.46496, 187.8548, 1.82803, 0.440628, 6.29496, 0.062766, 0.033095, 0.80392],\n",
+    "   [7.23868, 0.47495, 181.82012, 1.8232, 0.4884032, 5.546412, 0.0449439, 0.00231717, 1.25052]\n",
+    "]\n",
+    "\n",
+    "\n",
+    "par_names = [\"Imax\",         # Maximum interception storage\n",
+    "               \"Ce\",         # Evaporation correction factor\n",
+    "               \"Sumax\",      # Maximum soil moisture storage\n",
+    "               \"Beta\",       # Soil runoff parameter\n",
+    "               \"Pmax\",       # Maximum percolation rate\n",
+    "               \"Tlag\",       # Time lag\n",
+    "               \"Kf\",         # Fast reservoir recession coefficient\n",
+    "               \"Ks\",         # Slow reservoir recession coefficient\n",
+    "               \"FM\"          # Snowmelt factor\n",
+    "               ]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c60f825e-520a-4b00-83ab-16bdcfe60471",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Define initial storages\n",
+    "\n",
+    "#               Si,  Su, Sf, Ss, Sp\n",
+    "s_0 = np.array([0,  100,  0,  5,  0])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "70ba5ea1-8a76-463a-a14c-415673632103",
+   "metadata": {},
+   "source": [
+    "### Config model "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "70664027-bb24-47cc-814d-eb8eccbc1715",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Model setup create function\n",
+    "\n",
+    "def run_hbv(parameters, initial_storages, forcing):\n",
+    "\n",
+    "    # Creating model object\n",
+    "    model = ewatercycle.models.HBV(forcing=forcing)\n",
+    "\n",
+    "    # Creating config file\n",
+    "    config_file, _ = model.setup(\n",
+    "        parameters=parameters,\n",
+    "        initial_storages=initial_storages,\n",
+    "        cfg_dir=hbv_config\n",
+    "    )\n",
+    "\n",
+    "    # Initialising model\n",
+    "    model.initialize(config_file)\n",
+    "\n",
+    "    # Define & update outputs\n",
+    "    Q_m = []\n",
+    "    time = []\n",
+    "\n",
+    "    while model.time < model.end_time:\n",
+    "        model.update()\n",
+    "        Q_m.append(model.get_value(\"Q\")[0])\n",
+    "        time.append(pd.Timestamp(model.time_as_datetime))\n",
+    "\n",
+    "    model.finalize()\n",
+    "\n",
+    "    # Convert mm/day to m3/s\n",
+    "    model_output_mmday = pd.Series(\n",
+    "        data=Q_m,\n",
+    "        index=time,\n",
+    "        name=\"Modelled discharge\"\n",
+    "    )\n",
+    "\n",
+    "    model_output_m3s = model_output_mmday * basin_size * 1000 / 86400\n",
+    "\n",
+    "    return model_output_m3s"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fc3a24e7-53d6-4b62-aab1-ea705cefa75a",
+   "metadata": {},
+   "source": [
+    "## 3. Running model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1dab11de-a9f9-4e58-bc05-29926875e2d0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Model running create function\n",
+    "\n",
+    "def run_hbv_ensemble(par_ensemble, initial_storages, forcing):\n",
+    "\n",
+    "    # Define amount of parameter sets\n",
+    "    N = len(par_ensemble)\n",
+    "    \n",
+    "    # Create dataframe to append data to & add column for observed data\n",
+    "    ensemble_data = pd.DataFrame()\n",
+    "\n",
+    "    for i in range(N):\n",
+    "\n",
+    "        print(f\"Running parameter set {i+1}/{N}\")\n",
+    "\n",
+    "        # Run HBV model for the parameter sets \n",
+    "        simulated = run_hbv(\n",
+    "            parameters=par_ensemble[i],\n",
+    "            initial_storages=initial_storages,\n",
+    "            forcing=forcing\n",
+    "        )\n",
+    "\n",
+    "        # Filter data by day only, not by day & time to prevent alignment issues\n",
+    "        simulated_daily = simulated\n",
+    "\n",
+    "        simulated_daily.index = pd.to_datetime(simulated_daily.index).tz_localize(None).normalize()\n",
+    "        simulated_daily.name = f\"Set {i+1}\"\n",
+    "         \n",
+    "        # Append new column for every parameter set results\n",
+    "        ensemble_data[f\"Set {i+1}\"] = simulated\n",
+    "\n",
+    "    # Filter observed data by day\n",
+    "    observed_daily = observed_output\n",
+    "    observed_daily.index = pd.to_datetime(observed_daily.index).tz_localize(None).normalize()\n",
+    "\n",
+    "    # Add mean of all sets\n",
+    "    ensemble_data[\"Mean\"] = ensemble_data.mean(axis=1)\n",
+    "    ensemble_data['Observed discharge'] = observed_daily\n",
+    "\n",
+    "    return ensemble_data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8e42b731-3b74-43e3-bef9-267ca46cbe5d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Run model functions\n",
+    "\n",
+    "ensemble_data_CMIP = run_hbv_ensemble(\n",
+    "    par_ensemble=par_ensemble,\n",
+    "    initial_storages=s_0,\n",
+    "    forcing=CMIP_forcing\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "110cc380-2552-4be7-9846-5cc8b21d1b9d",
+   "metadata": {},
+   "source": [
+    "## 4. Lowflow calculation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4092c20d-19a6-4245-bfc9-a83ae151ba62",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create low flow counter function\n",
+    "\n",
+    "def lowflow_counter_ensemble(ensemble_data, start_date, end_date):\n",
+    "    \n",
+    "    lowflow_days = []\n",
+    "\n",
+    "    years = list(range(start_date.year, end_date.year + 1))\n",
+    "\n",
+    "    for i in range(len(years)):\n",
+    "    \n",
+    "        year = years[i]\n",
+    "    \n",
+    "        # Define start and end month-day\n",
+    "        year_start = pd.to_datetime(f\"{year}-05-18\")\n",
+    "        year_end = pd.to_datetime(f\"{year}-10-17\")\n",
+    "    \n",
+    "        year_data = ensemble_data[\n",
+    "            (ensemble_data.index >= year_start) &\n",
+    "            (ensemble_data.index <= year_end)\n",
+    "        ]\n",
+    "\n",
+    "        # Set zeros to count from\n",
+    "        observed_lowflow_days = 0\n",
+    "        modelled_lowflow_days = []\n",
+    "        modelmean_lowflow_days = 0\n",
+    "\n",
+    "        # Count observed lowflow days\n",
+    "        for j in range(len(year_data)):\n",
+    "            observed_q = year_data.iloc[j][\"Observed discharge\"]\n",
+    "\n",
+    "            if observed_q < q_critical:\n",
+    "                observed_lowflow_days += 1\n",
+    "\n",
+    "        # Count model mean lowflow days\n",
+    "        for j in range(len(year_data)):\n",
+    "            modelmean_q = year_data.iloc[j][\"Mean\"]\n",
+    "\n",
+    "            if modelmean_q < q_critical:\n",
+    "                modelmean_lowflow_days += 1\n",
+    "\n",
+    "        # Count modelled lowflow days\n",
+    "        for j in range(len(par_ensemble)):\n",
+    "            set_lowflow_days = 0\n",
+    "\n",
+    "            for k in range(len(year_data)):\n",
+    "                set_q = year_data.iloc[k][f\"Set {j+1}\"]\n",
+    "\n",
+    "                if set_q < q_critical:\n",
+    "                    set_lowflow_days += 1\n",
+    "\n",
+    "            modelled_lowflow_days.append(set_lowflow_days)\n",
+    "\n",
+    "        setavg_lowflow_days = np.mean(modelled_lowflow_days)\n",
+    "        \n",
+    "        lowflow_days.append({\n",
+    "            \"year\": year,\n",
+    "            \"observed\": observed_lowflow_days,\n",
+    "            \"modelmean\": modelmean_lowflow_days,\n",
+    "            \"set_1\": modelled_lowflow_days[0],\n",
+    "            \"set_2\": modelled_lowflow_days[1],\n",
+    "            \"set_3\": modelled_lowflow_days[2],\n",
+    "            \"set_4\": modelled_lowflow_days[3],\n",
+    "            \"set_5\": modelled_lowflow_days[4],\n",
+    "            \"set_avg\": np.round(setavg_lowflow_days)\n",
+    "        })\n",
+    "\n",
+    "    lowflow_days = pd.DataFrame(lowflow_days)\n",
+    "\n",
+    "    days_sum = lowflow_days[[\"observed\", \"modelmean\", \"set_1\", \"set_2\", \"set_3\", \"set_4\", \"set_5\", \"set_avg\"]].sum()\n",
+    "\n",
+    "    print(days_sum)\n",
+    "\n",
+    "    return lowflow_days"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "4f2191db-b514-4312-bd9a-7301f1f95381",
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "NameError",
+     "evalue": "name 'lowflow_counter_ensemble' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[7], line 3\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;66;03m# Run function\u001b[39;00m\n\u001b[0;32m----> 3\u001b[0m lowflow_CMIP \u001b[38;5;241m=\u001b[39m \u001b[43mlowflow_counter_ensemble\u001b[49m(\n\u001b[1;32m      4\u001b[0m     ensemble_data\u001b[38;5;241m=\u001b[39mensemble_data_CMIP,\n\u001b[1;32m      5\u001b[0m     start_date\u001b[38;5;241m=\u001b[39mevaluation_start,\n\u001b[1;32m      6\u001b[0m     end_date\u001b[38;5;241m=\u001b[39mvalidation_end_date\n\u001b[1;32m      7\u001b[0m )\n",
+      "\u001b[0;31mNameError\u001b[0m: name 'lowflow_counter_ensemble' is not defined"
+     ]
+    }
+   ],
+   "source": [
+    "# Run function\n",
+    "\n",
+    "lowflow_CMIP = lowflow_counter_ensemble(\n",
+    "    ensemble_data=ensemble_data_CMIP,\n",
+    "    start_date=evaluation_start,\n",
+    "    end_date=validation_end_date\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "09a29265-5d22-4916-874e-270a2107fd53",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

From aa5c2d1992669222ee8d85998d0170051405421f Mon Sep 17 00:00:00 2001
From: Maxime <mxdebekker@gmail.com>
Date: Thu, 4 Jun 2026 10:23:53 +0200
Subject: [PATCH 12/24] Report start

Created initial files for report
---
 .../Report/00_Preface.ipynb                   | 33 +++++++++++++
 .../Report/0_Summary.ipynb                    | 33 +++++++++++++
 .../Report/1_Introduction.ipynb               | 49 +++++++++++++++++++
 3 files changed, 115 insertions(+)
 create mode 100644 book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/00_Preface.ipynb
 create mode 100644 book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/0_Summary.ipynb
 create mode 100644 book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/1_Introduction.ipynb

diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/00_Preface.ipynb b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/00_Preface.ipynb
new file mode 100644
index 00000000..c1b788a5
--- /dev/null
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/00_Preface.ipynb
@@ -0,0 +1,33 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a80e8698-fe84-43be-86f2-3ce92713d0e8",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/0_Summary.ipynb b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/0_Summary.ipynb
new file mode 100644
index 00000000..0020e7d3
--- /dev/null
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/0_Summary.ipynb
@@ -0,0 +1,33 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "783c6988-1d83-4797-8972-667c029e96c1",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/1_Introduction.ipynb b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/1_Introduction.ipynb
new file mode 100644
index 00000000..2eea8de9
--- /dev/null
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/1_Introduction.ipynb
@@ -0,0 +1,49 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "78a03b30-b0ff-4155-acfe-a22e36147559",
+   "metadata": {},
+   "source": [
+    "# 1. Introduction"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "678af9bb-f7e7-4e01-b9f7-25e7e3c2f64b",
+   "metadata": {},
+   "source": [
+    "This is an excellent introduction!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8a9dd049-d67c-4198-ad5f-8a5e116c1795",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

From a0326ca53201038613059246a2414a475ed344ac Mon Sep 17 00:00:00 2001
From: Maxime <mxdebekker@gmail.com>
Date: Thu, 4 Jun 2026 16:38:13 +0200
Subject: [PATCH 13/24] CMIP6 Forcings Generation 2025-2099

Minor adjustments for ssp and period selection
---
 .../Step1_CMIP6_Forcings_Generation.ipynb     | 551 +++++++++++++++---
 1 file changed, 476 insertions(+), 75 deletions(-)

diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step1_CMIP6_Forcings_Generation.ipynb b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step1_CMIP6_Forcings_Generation.ipynb
index 9edd3add..cc714dec 100644
--- a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step1_CMIP6_Forcings_Generation.ipynb
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step1_CMIP6_Forcings_Generation.ipynb
@@ -24,7 +24,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 114,
    "id": "7ef3318e-968e-418e-bf4c-a8936aade9a5",
    "metadata": {},
    "outputs": [],
@@ -47,7 +47,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 115,
    "id": "f7ff029b-ee4b-4fe2-b5d5-bf768b626989",
    "metadata": {},
    "outputs": [],
@@ -60,13 +60,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 116,
    "id": "df3c38b4-7757-475c-a670-e7a06cc53955",
    "metadata": {},
    "outputs": [],
    "source": [
     "# Choose what you want to run:\n",
-    "Scenario = \"ssp245\"    # Options: historical, ssp119, ssp126, ssp245, ssp,370, ssp585"
+    "Scenario = \"ssp370\"    # Options: historical, ssp119, ssp126, ssp245, ssp,370, ssp585"
    ]
   },
   {
@@ -79,20 +79,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 117,
    "id": "b2343410-2713-4089-ae42-dad37b457c41",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp245/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6-20</span>\n",
-       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">25-2030</span>\n",
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6-20</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">75-2080</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
-       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp245/\u001b[0m\u001b[95mCMIP6-20\u001b[0m\n",
-       "\u001b[95m25-2030\u001b[0m\n"
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/\u001b[0m\u001b[95mCMIP6-20\u001b[0m\n",
+       "\u001b[95m75-2080\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -101,11 +101,11 @@
     {
      "data": {
       "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2025</span>\n",
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2075</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
-       "\u001b[1;36m2025\u001b[0m\n"
+       "\u001b[1;36m2075\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -114,11 +114,11 @@
     {
      "data": {
       "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2050</span>\n",
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2099</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
-       "\u001b[1;36m2050\u001b[0m\n"
+       "\u001b[1;36m2099\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -139,24 +139,24 @@
     "#     [1974, 1979, 1984, 1989, 1994, 1999]\n",
     "# ]\n",
     "\n",
-    "# Future projections 2026-2050:\n",
-    "periods = [\n",
-    "    [2025, 2031, 2041],\n",
-    "    [2030, 2040, 2050]\n",
-    "]\n",
-    "\n",
-    "# Future projections 2051-2075:\n",
+    "# Future projections 2025-2050:\n",
     "# periods = [\n",
-    "#     [2050, 2061, 2071],\n",
-    "#     [2060, 2070, 2075]\n",
+    "#     [2025, 2031, 2036, 2041, 2046],\n",
+    "#     [2030, 2035, 2040, 2045, 2050]\n",
     "# ]\n",
     "\n",
-    "# Future projections 2076-2100:\n",
+    "# Future projections 2050-2075:\n",
     "# periods = [\n",
-    "#     [2075, 2081, 2091],\n",
-    "#     [2080, 2090, 2100]\n",
+    "#     [2050, 2056, 2061, 2066, 2071],\n",
+    "#     [2055, 2060, 2065, 2070, 2075]\n",
     "# ]\n",
     "\n",
+    "# Future projections 2075-2099:\n",
+    "periods = [\n",
+    "    [2075, 2081, 2086, 2091, 2096],\n",
+    "    [2080, 2085, 2090, 2095, 2099]\n",
+    "]\n",
+    "\n",
     "\n",
     "folder_names = []\n",
     "forcing_paths = {}\n",
@@ -198,18 +198,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 118,
    "id": "cbc7b2b6-88ee-4e7f-b37c-39eaf878c075",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Skipping CMIP6-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2025</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2030</span> because the folder is not empty.\n",
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Finished CMIP6-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2075</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2080</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
-       "Skipping CMIP6-\u001b[1;36m2025\u001b[0m-\u001b[1;36m2030\u001b[0m because the folder is not empty.\n"
+       "Finished CMIP6-\u001b[1;36m2075\u001b[0m-\u001b[1;36m2080\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -218,40 +218,54 @@
     {
      "data": {
       "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Skipping CMIP6-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2031</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2040</span> because the folder is not empty.\n",
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Finished CMIP6-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2081</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2085</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
-       "Skipping CMIP6-\u001b[1;36m2031\u001b[0m-\u001b[1;36m2040\u001b[0m because the folder is not empty.\n"
+       "Finished CMIP6-\u001b[1;36m2081\u001b[0m-\u001b[1;36m2085\u001b[0m\n"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
     },
     {
-     "ename": "OSError",
-     "evalue": "[Errno 28] No space left on device",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mOSError\u001b[0m                                   Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[8], line 22\u001b[0m\n\u001b[1;32m     19\u001b[0m     \u001b[38;5;28;01mcontinue\u001b[39;00m\n\u001b[1;32m     21\u001b[0m \u001b[38;5;66;03m# Load forcings\u001b[39;00m\n\u001b[0;32m---> 22\u001b[0m CMIP_forcing \u001b[38;5;241m=\u001b[39m \u001b[43mewatercycle\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mforcing\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msources\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mLumpedMakkinkForcing\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgenerate\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m     23\u001b[0m \u001b[43m    \u001b[49m\u001b[43mdataset\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mCMIP_dataset\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     24\u001b[0m \u001b[43m    \u001b[49m\u001b[43mstart_time\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstart_time_CMIP\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     25\u001b[0m \u001b[43m    \u001b[49m\u001b[43mend_time\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mend_time_CMIP\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     26\u001b[0m \u001b[43m    \u001b[49m\u001b[43mshape\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mshape_file\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     27\u001b[0m \u001b[43m    \u001b[49m\u001b[43mdirectory\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mforcing_paths\u001b[49m\u001b[43m[\u001b[49m\u001b[43mfolder_names\u001b[49m\u001b[43m[\u001b[49m\u001b[43mi\u001b[49m\u001b[43m]\u001b[49m\u001b[43m]\u001b[49m\n\u001b[1;32m     28\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     30\u001b[0m \u001b[38;5;66;03m# I need info because my patience is limited\u001b[39;00m\n\u001b[1;32m     31\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mFinished \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfolder_names[i]\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n",
-      "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/ewatercycle/_forcings/makkink.py:57\u001b[0m, in \u001b[0;36mMakkink.generate\u001b[0;34m(cls, dataset, start_time, end_time, shape, directory, **model_specific_options)\u001b[0m\n\u001b[1;32m     47\u001b[0m \u001b[38;5;129m@classmethod\u001b[39m\n\u001b[1;32m     48\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21mgenerate\u001b[39m(  \u001b[38;5;66;03m# type: ignore[override]\u001b[39;00m\n\u001b[1;32m     49\u001b[0m     \u001b[38;5;28mcls\u001b[39m: \u001b[38;5;28mtype\u001b[39m[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mMakkink\u001b[39m\u001b[38;5;124m\"\u001b[39m],\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m     55\u001b[0m     \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mmodel_specific_options,\n\u001b[1;32m     56\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mMakkink\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[0;32m---> 57\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgenerate\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m     58\u001b[0m \u001b[43m        \u001b[49m\u001b[43mdataset\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     59\u001b[0m \u001b[43m        \u001b[49m\u001b[43mstart_time\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     60\u001b[0m \u001b[43m        \u001b[49m\u001b[43mend_time\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     61\u001b[0m \u001b[43m        \u001b[49m\u001b[43mshape\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     62\u001b[0m \u001b[43m        \u001b[49m\u001b[43mdirectory\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     63\u001b[0m \u001b[43m        \u001b[49m\u001b[43mvariables\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mpr\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mtas\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mrsds\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     64\u001b[0m \u001b[43m        \u001b[49m\u001b[43mpostprocessor\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mderive_e_pot\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     65\u001b[0m \u001b[43m        \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mmodel_specific_options\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     66\u001b[0m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/ewatercycle/base/forcing.py:162\u001b[0m, in \u001b[0;36mDefaultForcing.generate\u001b[0;34m(cls, dataset, start_time, end_time, shape, directory, variables, postprocessor, **model_specific_options)\u001b[0m\n\u001b[1;32m    129\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"Generate forcings for a model.\u001b[39;00m\n\u001b[1;32m    130\u001b[0m \n\u001b[1;32m    131\u001b[0m \u001b[38;5;124;03mThe forcing is generated with help of\u001b[39;00m\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    151\u001b[0m \u001b[38;5;124;03m    model_specific_options: Subclass specific options.\u001b[39;00m\n\u001b[1;32m    152\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m    153\u001b[0m recipe \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mcls\u001b[39m\u001b[38;5;241m.\u001b[39m_build_recipe(\n\u001b[1;32m    154\u001b[0m     dataset\u001b[38;5;241m=\u001b[39mdataset,\n\u001b[1;32m    155\u001b[0m     start_time\u001b[38;5;241m=\u001b[39mget_time(start_time),\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    159\u001b[0m     \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mmodel_specific_options,\n\u001b[1;32m    160\u001b[0m )\n\u001b[0;32m--> 162\u001b[0m recipe_output \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mcls\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_run_recipe\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    163\u001b[0m \u001b[43m    \u001b[49m\u001b[43mrecipe\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdirectory\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mPath\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdirectory\u001b[49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mdirectory\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01melse\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\n\u001b[1;32m    164\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    166\u001b[0m derived_variables: \u001b[38;5;28mtuple\u001b[39m[\u001b[38;5;28mstr\u001b[39m, \u001b[38;5;241m.\u001b[39m\u001b[38;5;241m.\u001b[39m\u001b[38;5;241m.\u001b[39m] \u001b[38;5;241m=\u001b[39m ()\n\u001b[1;32m    167\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m postprocessor \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n",
-      "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/ewatercycle/base/forcing.py:217\u001b[0m, in \u001b[0;36mDefaultForcing._run_recipe\u001b[0;34m(cls, recipe, directory)\u001b[0m\n\u001b[1;32m    211\u001b[0m \u001b[38;5;129m@classmethod\u001b[39m\n\u001b[1;32m    212\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21m_run_recipe\u001b[39m(\n\u001b[1;32m    213\u001b[0m     \u001b[38;5;28mcls\u001b[39m,\n\u001b[1;32m    214\u001b[0m     recipe: Recipe,\n\u001b[1;32m    215\u001b[0m     directory: Path \u001b[38;5;241m|\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m    216\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;28mdict\u001b[39m[\u001b[38;5;28mstr\u001b[39m, \u001b[38;5;28mstr\u001b[39m]:\n\u001b[0;32m--> 217\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mrun_recipe\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrecipe\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdirectory\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/ewatercycle/esmvaltool/run.py:109\u001b[0m, in \u001b[0;36mrun_recipe\u001b[0;34m(recipe, output_dir)\u001b[0m\n\u001b[1;32m    100\u001b[0m warnings\u001b[38;5;241m.\u001b[39mfilterwarnings(  \u001b[38;5;66;03m# Not relevant for end users.\u001b[39;00m\n\u001b[1;32m    101\u001b[0m     action\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mignore\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m    102\u001b[0m     message\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mThank you for trying out the new ESMValCore API\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m    103\u001b[0m )\n\u001b[1;32m    104\u001b[0m warnings\u001b[38;5;241m.\u001b[39mfilterwarnings(  \u001b[38;5;66;03m# Hide Iris warning (upstream issue)\u001b[39;00m\n\u001b[1;32m    105\u001b[0m     action\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mignore\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m    106\u001b[0m     message\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mSaving to netcdf with legacy-style attribute\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m    107\u001b[0m )\n\u001b[0;32m--> 109\u001b[0m output \u001b[38;5;241m=\u001b[39m \u001b[43m_save_and_run_recipe\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrecipe\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43moutput_dir\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    110\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m _parse_recipe_output(output)\n",
-      "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/ewatercycle/esmvaltool/run.py:137\u001b[0m, in \u001b[0;36m_save_and_run_recipe\u001b[0;34m(recipe, output_dir)\u001b[0m\n\u001b[1;32m    135\u001b[0m     esmlvaltool_recipe \u001b[38;5;241m=\u001b[39m ESMValToolRecipe(recipe_path)\n\u001b[1;32m    136\u001b[0m     session \u001b[38;5;241m=\u001b[39m _session(output_dir)\n\u001b[0;32m--> 137\u001b[0m     output \u001b[38;5;241m=\u001b[39m \u001b[43mesmlvaltool_recipe\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrun\u001b[49m\u001b[43m(\u001b[49m\u001b[43msession\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msession\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    138\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[1;32m    139\u001b[0m     recipe_path\u001b[38;5;241m.\u001b[39munlink()\n",
-      "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/esmvalcore/experimental/recipe.py:138\u001b[0m, in \u001b[0;36mRecipe.run\u001b[0;34m(self, task, session)\u001b[0m\n\u001b[1;32m    136\u001b[0m     _dask\u001b[38;5;241m.\u001b[39mcheck_distributed_config()\n\u001b[1;32m    137\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_engine \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_load(session\u001b[38;5;241m=\u001b[39msession)\n\u001b[0;32m--> 138\u001b[0m     \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_engine\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrun\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    140\u001b[0m shutil\u001b[38;5;241m.\u001b[39mcopy2(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mpath, session\u001b[38;5;241m.\u001b[39mrun_dir)\n\u001b[1;32m    142\u001b[0m output \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mget_output()\n",
-      "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/esmvalcore/_recipe/recipe.py:1093\u001b[0m, in \u001b[0;36mRecipe.run\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   1091\u001b[0m \u001b[38;5;66;03m# Download required data\u001b[39;00m\n\u001b[1;32m   1092\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msession[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124msearch_esgf\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m!=\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mnever\u001b[39m\u001b[38;5;124m'\u001b[39m:\n\u001b[0;32m-> 1093\u001b[0m     \u001b[43mesgf\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdownload\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_download_files\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msession\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mdownload_dir\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1095\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtasks\u001b[38;5;241m.\u001b[39mrun(max_parallel_tasks\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msession[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mmax_parallel_tasks\u001b[39m\u001b[38;5;124m'\u001b[39m])\n\u001b[1;32m   1096\u001b[0m logger\u001b[38;5;241m.\u001b[39minfo(\n\u001b[1;32m   1097\u001b[0m     \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mWrote recipe with version numbers and wildcards \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m   1098\u001b[0m     \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mto:\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124mfile://\u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m\"\u001b[39m, filled_recipe)\n",
-      "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/esmvalcore/esgf/_download.py:563\u001b[0m, in \u001b[0;36mdownload\u001b[0;34m(files, dest_folder, n_jobs)\u001b[0m\n\u001b[1;32m    561\u001b[0m file \u001b[38;5;241m=\u001b[39m future_to_file[future]\n\u001b[1;32m    562\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 563\u001b[0m     \u001b[43mfuture\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mresult\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    564\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m DownloadError \u001b[38;5;28;01mas\u001b[39;00m error:\n\u001b[1;32m    565\u001b[0m     logger\u001b[38;5;241m.\u001b[39merror(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mFailed to download \u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m, error message \u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m\"\u001b[39m, file,\n\u001b[1;32m    566\u001b[0m                  error)\n",
-      "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/concurrent/futures/_base.py:449\u001b[0m, in \u001b[0;36mFuture.result\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m    447\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m CancelledError()\n\u001b[1;32m    448\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_state \u001b[38;5;241m==\u001b[39m FINISHED:\n\u001b[0;32m--> 449\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m__get_result\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    451\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_condition\u001b[38;5;241m.\u001b[39mwait(timeout)\n\u001b[1;32m    453\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_state \u001b[38;5;129;01min\u001b[39;00m [CANCELLED, CANCELLED_AND_NOTIFIED]:\n",
-      "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/concurrent/futures/_base.py:401\u001b[0m, in \u001b[0;36mFuture.__get_result\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    399\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_exception:\n\u001b[1;32m    400\u001b[0m     \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 401\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_exception\n\u001b[1;32m    402\u001b[0m     \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[1;32m    403\u001b[0m         \u001b[38;5;66;03m# Break a reference cycle with the exception in self._exception\u001b[39;00m\n\u001b[1;32m    404\u001b[0m         \u001b[38;5;28mself\u001b[39m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n",
-      "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/concurrent/futures/thread.py:58\u001b[0m, in \u001b[0;36m_WorkItem.run\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m     55\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m\n\u001b[1;32m     57\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m---> 58\u001b[0m     result \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfn\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     59\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mBaseException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m exc:\n\u001b[1;32m     60\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfuture\u001b[38;5;241m.\u001b[39mset_exception(exc)\n",
-      "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/esmvalcore/esgf/_download.py:547\u001b[0m, in \u001b[0;36mdownload.<locals>._download\u001b[0;34m(file)\u001b[0m\n\u001b[1;32m    545\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21m_download\u001b[39m(file: ESGFFile):\n\u001b[1;32m    546\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"Download file to dest_folder.\"\"\"\u001b[39;00m\n\u001b[0;32m--> 547\u001b[0m     \u001b[43mfile\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdownload\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdest_folder\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/esmvalcore/esgf/_download.py:427\u001b[0m, in \u001b[0;36mESGFFile.download\u001b[0;34m(self, dest_folder)\u001b[0m\n\u001b[1;32m    425\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m url \u001b[38;5;129;01min\u001b[39;00m sort_hosts(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39murls):\n\u001b[1;32m    426\u001b[0m     \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 427\u001b[0m         \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_download\u001b[49m\u001b[43m(\u001b[49m\u001b[43mlocal_file\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43murl\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    428\u001b[0m     \u001b[38;5;28;01mexcept\u001b[39;00m (DownloadError,\n\u001b[1;32m    429\u001b[0m             requests\u001b[38;5;241m.\u001b[39mexceptions\u001b[38;5;241m.\u001b[39mRequestException) \u001b[38;5;28;01mas\u001b[39;00m error:\n\u001b[1;32m    430\u001b[0m         logger\u001b[38;5;241m.\u001b[39mdebug(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNot able to download \u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m. Error message: \u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m\"\u001b[39m, url,\n\u001b[1;32m    431\u001b[0m                      error)\n",
-      "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/esmvalcore/esgf/_download.py:475\u001b[0m, in \u001b[0;36mESGFFile._download\u001b[0;34m(self, local_file, url)\u001b[0m\n\u001b[1;32m    473\u001b[0m         \u001b[38;5;28;01mif\u001b[39;00m hasher \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m    474\u001b[0m             hasher\u001b[38;5;241m.\u001b[39mupdate(chunk)\n\u001b[0;32m--> 475\u001b[0m         \u001b[43mfile\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mwrite\u001b[49m\u001b[43m(\u001b[49m\u001b[43mchunk\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    477\u001b[0m duration \u001b[38;5;241m=\u001b[39m datetime\u001b[38;5;241m.\u001b[39mdatetime\u001b[38;5;241m.\u001b[39mnow() \u001b[38;5;241m-\u001b[39m start_time\n\u001b[1;32m    479\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m hasher \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n",
-      "\u001b[0;31mOSError\u001b[0m: [Errno 28] No space left on device"
-     ]
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Finished CMIP6-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2086</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2090</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Finished CMIP6-\u001b[1;36m2086\u001b[0m-\u001b[1;36m2090\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Finished CMIP6-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2091</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2095</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Finished CMIP6-\u001b[1;36m2091\u001b[0m-\u001b[1;36m2095\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Finished CMIP6-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2096</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2099</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Finished CMIP6-\u001b[1;36m2096\u001b[0m-\u001b[1;36m2099\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -261,6 +275,8 @@
     "\n",
     "# Choose CMIP6 dataset\n",
     "CMIP_dataset = {'dataset': 'MPI-ESM1-2-HR', 'project': 'CMIP6', 'grid' : 'gn', 'exp': Scenario, 'ensemble': 'r1i1p1f1'}\n",
+    "CMIP_dataset =  {'project': 'CMIP6', 'activity': 'ScenarioMIP', 'exp': Scenario, 'mip': 'day', 'dataset': 'MPI-ESM1-2-HR', 'ensemble': 'r1i1p1f1', 'institute': 'DKRZ', 'grid': 'gn'}\n",
+    "\n",
     "\n",
     "\n",
     "# Generate forcing data\n",
@@ -298,28 +314,32 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 119,
    "id": "f8e8ac64-fee5-4602-a1f1-90b8fb14c2b2",
    "metadata": {},
    "outputs": [
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "The history saving thread hit an unexpected error (OperationalError('unable to open database file')).History will not be written to the database.\n"
-     ]
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">[</span><span style=\"color: #008000; text-decoration-color: #008000\">'CMIP6-2075-2080'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'CMIP6-2081-2085'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'CMIP6-2086-2090'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'CMIP6-2091-2095'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'CMIP6-2096-2099'</span><span style=\"font-weight: bold\">]</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1m[\u001b[0m\u001b[32m'CMIP6-2075-2080'\u001b[0m, \u001b[32m'CMIP6-2081-2085'\u001b[0m, \u001b[32m'CMIP6-2086-2090'\u001b[0m, \u001b[32m'CMIP6-2091-2095'\u001b[0m, \u001b[32m'CMIP6-2096-2099'\u001b[0m\u001b[1m]\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     },
     {
-     "ename": "FileNotFoundError",
-     "evalue": "Forcing file /home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp245/CMIP6-2025-2030/work/diagnostic/script/ewatercycle_forcing.yaml not found. Perhaps you want to use LumpedMakkinkForcing(...)?",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[9], line 8\u001b[0m\n\u001b[1;32m      5\u001b[0m     directory_new \u001b[38;5;241m=\u001b[39m forcing_paths[folder_names[i]] \u001b[38;5;241m/\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mwork\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m/\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdiagnostic\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m/\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mscript\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m      7\u001b[0m     \u001b[38;5;66;03m# Load forcings\u001b[39;00m\n\u001b[0;32m----> 8\u001b[0m     CMIP_forcings[folder_names[i]] \u001b[38;5;241m=\u001b[39m \u001b[43mewatercycle\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mforcing\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msources\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mLumpedMakkinkForcing\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mload\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdirectory\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdirectory_new\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     10\u001b[0m \u001b[38;5;66;03m# Test to see if it works\u001b[39;00m\n\u001b[1;32m     11\u001b[0m \u001b[38;5;28mprint\u001b[39m(folder_names)\n",
-      "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/ewatercycle/base/forcing.py:276\u001b[0m, in \u001b[0;36mDefaultForcing.load\u001b[0;34m(cls, directory)\u001b[0m\n\u001b[1;32m    271\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m meta\u001b[38;5;241m.\u001b[39mexists():\n\u001b[1;32m    272\u001b[0m     msg \u001b[38;5;241m=\u001b[39m (\n\u001b[1;32m    273\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mForcing file \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mmeta\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m not found. \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    274\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mPerhaps you want to use \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mcls\u001b[39m\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m(...)?\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    275\u001b[0m     )\n\u001b[0;32m--> 276\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mFileNotFoundError\u001b[39;00m(msg)\n\u001b[1;32m    277\u001b[0m metadata \u001b[38;5;241m=\u001b[39m meta\u001b[38;5;241m.\u001b[39mread_text()\n\u001b[1;32m    278\u001b[0m \u001b[38;5;66;03m# Workaround for legacy forcing files having !PythonClass tag.\u001b[39;00m\n\u001b[1;32m    279\u001b[0m \u001b[38;5;66;03m# Remove it so ewatercycle.forcing.source[<forcing name>].load(dir) works.\u001b[39;00m\n",
-      "\u001b[0;31mFileNotFoundError\u001b[0m: Forcing file /home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp245/CMIP6-2025-2030/work/diagnostic/script/ewatercycle_forcing.yaml not found. Perhaps you want to use LumpedMakkinkForcing(...)?"
-     ]
+     "data": {
+      "text/plain": [
+       "LumpedMakkinkForcing(start_time='2075-01-01T00:00:00Z', end_time='2080-12-31T00:00:00Z', directory=PosixPath('/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-2075-2080/work/diagnostic/script'), shape=PosixPath('/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-2075-2080/work/diagnostic/script/07DA001_basin.shp'), filenames={'pr': 'CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_pr_gn_2075-2080.nc', 'tas': 'CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_tas_gn_2075-2080.nc', 'rsds': 'CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_rsds_gn_2075-2080.nc', 'evspsblpot': 'Derived_Makkink_evspsblpot.nc'})"
+      ]
+     },
+     "execution_count": 119,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
@@ -347,7 +367,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 120,
    "id": "1cb12aa2-4b4c-4108-a5c9-2d8156cdecfe",
    "metadata": {},
    "outputs": [],
@@ -375,10 +395,351 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 121,
    "id": "b21fe2e4-478a-4e0b-9f1f-a40316e22018",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">75-2080/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_pr_gn_2075-2080.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
+       "\u001b[35m75-2080/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_pr_gn_2075-2080.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">81-2085/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_pr_gn_2081-2085.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
+       "\u001b[35m81-2085/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_pr_gn_2081-2085.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">86-2090/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_pr_gn_2086-2090.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
+       "\u001b[35m86-2090/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_pr_gn_2086-2090.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">91-2095/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_pr_gn_2091-2095.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
+       "\u001b[35m91-2095/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_pr_gn_2091-2095.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">96-2099/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_pr_gn_2096-2099.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
+       "\u001b[35m96-2099/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_pr_gn_2096-2099.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">75-2080/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_tas_gn_2075-2080.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
+       "\u001b[35m75-2080/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_tas_gn_2075-2080.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">81-2085/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_tas_gn_2081-2085.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
+       "\u001b[35m81-2085/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_tas_gn_2081-2085.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">86-2090/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_tas_gn_2086-2090.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
+       "\u001b[35m86-2090/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_tas_gn_2086-2090.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">91-2095/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_tas_gn_2091-2095.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
+       "\u001b[35m91-2095/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_tas_gn_2091-2095.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">96-2099/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_tas_gn_2096-2099.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
+       "\u001b[35m96-2099/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_tas_gn_2096-2099.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">75-2080/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_rsds_gn_2075-2080.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
+       "\u001b[35m75-2080/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_rsds_gn_2075-2080.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">81-2085/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_rsds_gn_2081-2085.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
+       "\u001b[35m81-2085/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_rsds_gn_2081-2085.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">86-2090/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_rsds_gn_2086-2090.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
+       "\u001b[35m86-2090/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_rsds_gn_2086-2090.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">91-2095/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_rsds_gn_2091-2095.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
+       "\u001b[35m91-2095/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_rsds_gn_2091-2095.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">96-2099/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_rsds_gn_2096-2099.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
+       "\u001b[35m96-2099/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_rsds_gn_2096-2099.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">75-2080/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_evspsblpot.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
+       "\u001b[35m75-2080/work/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_evspsblpot.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">81-2085/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_evspsblpot.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
+       "\u001b[35m81-2085/work/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_evspsblpot.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">86-2090/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_evspsblpot.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
+       "\u001b[35m86-2090/work/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_evspsblpot.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">91-2095/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_evspsblpot.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
+       "\u001b[35m91-2095/work/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_evspsblpot.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">96-2099/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_evspsblpot.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
+       "\u001b[35m96-2099/work/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_evspsblpot.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "# Running function for various file name types\n",
     "combined_variables = {}\n",
@@ -403,7 +764,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 122,
    "id": "e60b3316-e100-4af9-a36d-fad721ef6e02",
    "metadata": {},
    "outputs": [],
@@ -429,10 +790,50 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 123,
    "id": "10ff50bf-b6e7-4033-9682-3e25d01ecd26",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">LumpedMakkinkForcing</span><span style=\"font-weight: bold\">(</span>\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">start_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'2075-01-01T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">end_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'2099-12-31T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">directory</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forci</span>\n",
+       "<span style=\"color: #008000; text-decoration-color: #008000\">ngs/CMIP6/ssp370/CMIP6-2075-2099'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">shape</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Shapefile</span>\n",
+       "<span style=\"color: #008000; text-decoration-color: #008000\">s/07DA001_basin.shp'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">filenames</span>=<span style=\"font-weight: bold\">{</span>\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'evspsblpot'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_2075_2099_evspsblpot.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'pr'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_2075_2099_pr.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'rsds'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_2075_2099_rsds.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'tas'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_2075_2099_tas.nc'</span>\n",
+       "    <span style=\"font-weight: bold\">}</span>\n",
+       "<span style=\"font-weight: bold\">)</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1;35mLumpedMakkinkForcing\u001b[0m\u001b[1m(\u001b[0m\n",
+       "    \u001b[33mstart_time\u001b[0m=\u001b[32m'2075-01-01T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mend_time\u001b[0m=\u001b[32m'2099-12-31T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mdirectory\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forci\u001b[0m\n",
+       "\u001b[32mngs/CMIP6/ssp370/CMIP6-2075-2099'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mshape\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Shapefile\u001b[0m\n",
+       "\u001b[32ms/07DA001_basin.shp'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mfilenames\u001b[0m=\u001b[1m{\u001b[0m\n",
+       "        \u001b[32m'evspsblpot'\u001b[0m: \u001b[32m'combined_CMIP6_2075_2099_evspsblpot.nc'\u001b[0m,\n",
+       "        \u001b[32m'pr'\u001b[0m: \u001b[32m'combined_CMIP6_2075_2099_pr.nc'\u001b[0m,\n",
+       "        \u001b[32m'rsds'\u001b[0m: \u001b[32m'combined_CMIP6_2075_2099_rsds.nc'\u001b[0m,\n",
+       "        \u001b[32m'tas'\u001b[0m: \u001b[32m'combined_CMIP6_2075_2099_tas.nc'\u001b[0m\n",
+       "    \u001b[1m}\u001b[0m\n",
+       "\u001b[1m)\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "CMIP6_combined_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=combined_path)\n",
     "print(CMIP6_combined_forcing)"

From d579722c96369c1bdc281244ca0c86ab304e845b Mon Sep 17 00:00:00 2001
From: Maxime <mxdebekker@gmail.com>
Date: Thu, 4 Jun 2026 17:51:24 +0200
Subject: [PATCH 14/24] CMIP Projections

+ Ran future model for 3 ssp's, 2025-2100.
+ Graphical comparisons
+ Freshet/Freeze up algorithm simple check
---
 Workyard/Step7_CMIP_Projections.ipynb | 2495 ++++++++++++++++++++++++-
 1 file changed, 2414 insertions(+), 81 deletions(-)

diff --git a/Workyard/Step7_CMIP_Projections.ipynb b/Workyard/Step7_CMIP_Projections.ipynb
index 14bbe386..4c23182b 100644
--- a/Workyard/Step7_CMIP_Projections.ipynb
+++ b/Workyard/Step7_CMIP_Projections.ipynb
@@ -27,7 +27,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 54,
    "id": "71668e92-f5c4-49b2-9eed-20f91997c193",
    "metadata": {},
    "outputs": [],
@@ -51,7 +51,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 55,
    "id": "f2135c0b-ba31-4f05-bf37-435a99b1788f",
    "metadata": {},
    "outputs": [],
@@ -64,7 +64,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 56,
    "id": "c5166bb7-f81f-4967-a65a-d1933464ce7f",
    "metadata": {},
    "outputs": [],
@@ -78,30 +78,65 @@
     "end_year = 2050\n",
     "\n",
     "# Choose CMIP Scenario: \n",
-    "Scenario = \"ssp126\"    # Options: historical, ssp119, ssp126, ssp245, ssp,370, ssp585\n",
+    "# Scenario = \"ssp126\"    # Options: historical, ssp119, ssp126, ssp245, ssp,370, ssp585\n",
     "# Scenario = {\"ssp126\", \"ssp245\", \"ssp370\"}"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 57,
+   "id": "1fda9bce-98ad-4f35-bba6-d0315ea40d2d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "scenarios = [\"ssp126\", \"ssp245\", \"ssp370\"]\n",
+    "\n",
+    "periods = [\n",
+    "    [2025, 2050, 2075],\n",
+    "    [2050, 2075, 2099]\n",
+    "]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "id": "7001cbf2-e95c-469d-970c-118b27d054e5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# for i in range(len(scenario)):\n",
+    "#     Scenario = scenario[i]\n",
+    "#     for i in range(len(periods[0])):\n",
+    "#         start_year = periods[0][i]\n",
+    "#         end_year = periods[0][i]\n",
+    "\n",
+    "        "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
    "id": "c398fe4d-66fb-430a-8f82-ad85e924f592",
    "metadata": {},
    "outputs": [],
    "source": [
     "# Create pathways for ERA 5 forcings\n",
     "\n",
-    "forcing_path_CMIP = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / Scenario / f\"CMIP6-{start_year}-{end_year}\"\n",
+    "def forcing_path_cmip(scenario, start_year, end_year):\n",
+    "    \n",
+    "    forcing_path = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / scenario / f\"CMIP6-{start_year}-{end_year}\"\n",
+    "    \n",
+    "    return forcing_path\n",
     "\n",
-    "shape_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "shape_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
     "\n",
-    "hbv_config = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"hbv_config\"\n",
+    "hbv_config = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"hbv_config\"\n",
     "hbv_config.mkdir(parents=True, exist_ok=True)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 60,
    "id": "a7bab7da-b7e7-442c-b4b0-e5c3b0ededcb",
    "metadata": {},
    "outputs": [],
@@ -129,20 +164,48 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 61,
    "id": "c0873cb8-69da-49cd-84fe-d45d9684277f",
    "metadata": {},
    "outputs": [
     {
-     "ename": "NameError",
-     "evalue": "name 'forcing_path_CMIP' is not defined",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[6], line 2\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;66;03m# Load data\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m CMIP_forcing \u001b[38;5;241m=\u001b[39m ewatercycle\u001b[38;5;241m.\u001b[39mforcing\u001b[38;5;241m.\u001b[39msources[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mLumpedMakkinkForcing\u001b[39m\u001b[38;5;124m\"\u001b[39m]\u001b[38;5;241m.\u001b[39mload(directory\u001b[38;5;241m=\u001b[39m\u001b[43mforcing_path_CMIP\u001b[49m)\n\u001b[1;32m      4\u001b[0m \u001b[38;5;28mprint\u001b[39m(CMIP_forcing)\n",
-      "\u001b[0;31mNameError\u001b[0m: name 'forcing_path_CMIP' is not defined"
-     ]
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">LumpedMakkinkForcing</span><span style=\"font-weight: bold\">(</span>\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">start_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'2025-01-01T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">end_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'2050-12-31T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">directory</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forci</span>\n",
+       "<span style=\"color: #008000; text-decoration-color: #008000\">ngs/CMIP6/ssp126/CMIP6-2025-2050'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">shape</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Shapefile</span>\n",
+       "<span style=\"color: #008000; text-decoration-color: #008000\">s/07DA001_basin.shp'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">filenames</span>=<span style=\"font-weight: bold\">{</span>\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'evspsblpot'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_2025_2050_evspsblpot.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'pr'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_2025_2050_pr.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'rsds'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_2025_2050_rsds.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'tas'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_2025_2050_tas.nc'</span>\n",
+       "    <span style=\"font-weight: bold\">}</span>\n",
+       "<span style=\"font-weight: bold\">)</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1;35mLumpedMakkinkForcing\u001b[0m\u001b[1m(\u001b[0m\n",
+       "    \u001b[33mstart_time\u001b[0m=\u001b[32m'2025-01-01T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mend_time\u001b[0m=\u001b[32m'2050-12-31T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mdirectory\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forci\u001b[0m\n",
+       "\u001b[32mngs/CMIP6/ssp126/CMIP6-2025-2050'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mshape\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Shapefile\u001b[0m\n",
+       "\u001b[32ms/07DA001_basin.shp'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mfilenames\u001b[0m=\u001b[1m{\u001b[0m\n",
+       "        \u001b[32m'evspsblpot'\u001b[0m: \u001b[32m'combined_CMIP6_2025_2050_evspsblpot.nc'\u001b[0m,\n",
+       "        \u001b[32m'pr'\u001b[0m: \u001b[32m'combined_CMIP6_2025_2050_pr.nc'\u001b[0m,\n",
+       "        \u001b[32m'rsds'\u001b[0m: \u001b[32m'combined_CMIP6_2025_2050_rsds.nc'\u001b[0m,\n",
+       "        \u001b[32m'tas'\u001b[0m: \u001b[32m'combined_CMIP6_2025_2050_tas.nc'\u001b[0m\n",
+       "    \u001b[1m}\u001b[0m\n",
+       "\u001b[1m)\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -170,7 +233,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 62,
    "id": "d776ff36-b69a-4321-9468-d4fa85350ef3",
    "metadata": {},
    "outputs": [],
@@ -200,7 +263,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 63,
    "id": "c60f825e-520a-4b00-83ab-16bdcfe60471",
    "metadata": {},
    "outputs": [],
@@ -221,7 +284,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 64,
    "id": "70664027-bb24-47cc-814d-eb8eccbc1715",
    "metadata": {},
    "outputs": [],
@@ -276,7 +339,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 65,
    "id": "1dab11de-a9f9-4e58-bc05-29926875e2d0",
    "metadata": {},
    "outputs": [],
@@ -311,31 +374,27 @@
     "        # Append new column for every parameter set results\n",
     "        ensemble_data[f\"Set {i+1}\"] = simulated\n",
     "\n",
-    "    # Filter observed data by day\n",
-    "    observed_daily = observed_output\n",
-    "    observed_daily.index = pd.to_datetime(observed_daily.index).tz_localize(None).normalize()\n",
     "\n",
     "    # Add mean of all sets\n",
     "    ensemble_data[\"Mean\"] = ensemble_data.mean(axis=1)\n",
-    "    ensemble_data['Observed discharge'] = observed_daily\n",
     "\n",
     "    return ensemble_data"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 66,
    "id": "8e42b731-3b74-43e3-bef9-267ca46cbe5d",
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Run model functions\n",
+    "# # Run model functions\n",
     "\n",
-    "ensemble_data_CMIP = run_hbv_ensemble(\n",
-    "    par_ensemble=par_ensemble,\n",
-    "    initial_storages=s_0,\n",
-    "    forcing=CMIP_forcing\n",
-    ")"
+    "# ensemble_data_CMIP = run_hbv_ensemble(\n",
+    "#     par_ensemble=par_ensemble,\n",
+    "#     initial_storages=s_0,\n",
+    "#     forcing=CMIP_forcing\n",
+    "# )"
    ]
   },
   {
@@ -348,56 +407,103 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 67,
    "id": "4092c20d-19a6-4245-bfc9-a83ae151ba62",
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Create low flow counter function\n",
+    "# # Create low flow counter function\n",
+    "\n",
+    "# def lowflow_counter_ensemble(ensemble_data, start_date, end_date):\n",
+    "    \n",
+    "#     lowflow_days = []\n",
     "\n",
-    "def lowflow_counter_ensemble(ensemble_data, start_date, end_date):\n",
+    "#     years = list(range(start_date.year, end_date.year + 1))\n",
+    "\n",
+    "#     for i in range(len(years)):\n",
+    "    \n",
+    "#         year = years[i]\n",
     "    \n",
+    "#         # Define start and end month-day\n",
+    "#         year_start = pd.to_datetime(f\"{year}-05-18\")\n",
+    "#         year_end = pd.to_datetime(f\"{year}-10-17\")\n",
+    "    \n",
+    "#         year_data = ensemble_data[\n",
+    "#             (ensemble_data.index >= year_start) &\n",
+    "#             (ensemble_data.index <= year_end)\n",
+    "#         ]\n",
+    "\n",
+    "#         # Set zeros to count from\n",
+    "#         modelled_lowflow_days = []\n",
+    "#         modelmean_lowflow_days = 0\n",
+    "\n",
+    "#         # Count modelled lowflow days\n",
+    "#         for j in range(len(par_ensemble)):\n",
+    "#             set_lowflow_days = 0\n",
+    "\n",
+    "#             for k in range(len(year_data)):\n",
+    "#                 set_q = year_data.iloc[k][f\"Set {j+1}\"]\n",
+    "\n",
+    "#                 if set_q < q_critical:\n",
+    "#                     set_lowflow_days += 1\n",
+    "\n",
+    "#             modelled_lowflow_days.append(set_lowflow_days)\n",
+    "\n",
+    "#         setavg_lowflow_days = np.mean(modelled_lowflow_days)\n",
+    "        \n",
+    "#         lowflow_days.append({\n",
+    "#             \"year\": year,\n",
+    "#             \"set_1\": modelled_lowflow_days[0],\n",
+    "#             \"set_2\": modelled_lowflow_days[1],\n",
+    "#             \"set_3\": modelled_lowflow_days[2],\n",
+    "#             \"set_4\": modelled_lowflow_days[3],\n",
+    "#             \"set_5\": modelled_lowflow_days[4],\n",
+    "#             \"set_avg\": np.round(setavg_lowflow_days)\n",
+    "#         })\n",
+    "\n",
+    "#     lowflow_days = pd.DataFrame(lowflow_days)\n",
+    "\n",
+    "#     # days_sum = lowflow_days[[\"observed\", \"modelmean\", \"set_1\", \"set_2\", \"set_3\", \"set_4\", \"set_5\", \"set_avg\"]].sum()\n",
+    "\n",
+    "#     # print(days_sum)\n",
+    "\n",
+    "#     return lowflow_days"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 68,
+   "id": "acf369ed-ebd2-4694-ab43-91730f12fa26",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def lowflow_counter_future(ensemble_data, start_date, end_date):\n",
+    "\n",
     "    lowflow_days = []\n",
     "\n",
     "    years = list(range(start_date.year, end_date.year + 1))\n",
     "\n",
     "    for i in range(len(years)):\n",
-    "    \n",
+    "\n",
     "        year = years[i]\n",
-    "    \n",
-    "        # Define start and end month-day\n",
+    "\n",
     "        year_start = pd.to_datetime(f\"{year}-05-18\")\n",
     "        year_end = pd.to_datetime(f\"{year}-10-17\")\n",
-    "    \n",
+    "\n",
     "        year_data = ensemble_data[\n",
     "            (ensemble_data.index >= year_start) &\n",
     "            (ensemble_data.index <= year_end)\n",
     "        ]\n",
     "\n",
-    "        # Set zeros to count from\n",
-    "        observed_lowflow_days = 0\n",
     "        modelled_lowflow_days = []\n",
-    "        modelmean_lowflow_days = 0\n",
-    "\n",
-    "        # Count observed lowflow days\n",
-    "        for j in range(len(year_data)):\n",
-    "            observed_q = year_data.iloc[j][\"Observed discharge\"]\n",
     "\n",
-    "            if observed_q < q_critical:\n",
-    "                observed_lowflow_days += 1\n",
-    "\n",
-    "        # Count model mean lowflow days\n",
-    "        for j in range(len(year_data)):\n",
-    "            modelmean_q = year_data.iloc[j][\"Mean\"]\n",
-    "\n",
-    "            if modelmean_q < q_critical:\n",
-    "                modelmean_lowflow_days += 1\n",
-    "\n",
-    "        # Count modelled lowflow days\n",
+    "        # Count parameter set low-flow days\n",
     "        for j in range(len(par_ensemble)):\n",
+    "\n",
     "            set_lowflow_days = 0\n",
     "\n",
     "            for k in range(len(year_data)):\n",
+    "\n",
     "                set_q = year_data.iloc[k][f\"Set {j+1}\"]\n",
     "\n",
     "                if set_q < q_critical:\n",
@@ -406,11 +512,9 @@
     "            modelled_lowflow_days.append(set_lowflow_days)\n",
     "\n",
     "        setavg_lowflow_days = np.mean(modelled_lowflow_days)\n",
-    "        \n",
+    "\n",
     "        lowflow_days.append({\n",
     "            \"year\": year,\n",
-    "            \"observed\": observed_lowflow_days,\n",
-    "            \"modelmean\": modelmean_lowflow_days,\n",
     "            \"set_1\": modelled_lowflow_days[0],\n",
     "            \"set_2\": modelled_lowflow_days[1],\n",
     "            \"set_3\": modelled_lowflow_days[2],\n",
@@ -421,45 +525,2274 @@
     "\n",
     "    lowflow_days = pd.DataFrame(lowflow_days)\n",
     "\n",
-    "    days_sum = lowflow_days[[\"observed\", \"modelmean\", \"set_1\", \"set_2\", \"set_3\", \"set_4\", \"set_5\", \"set_avg\"]].sum()\n",
+    "    return lowflow_days"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 69,
+   "id": "66ff97ac-4f6b-42e6-b114-91eddc72f057",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def run_cmip_projection(scenario, start_year, end_year):\n",
     "\n",
-    "    print(days_sum)\n",
+    "    print(f\"Running {scenario}, {start_year}-{end_year}\")\n",
     "\n",
-    "    return lowflow_days"
+    "    forcing_path_CMIP = forcing_path_cmip(\n",
+    "        scenario=scenario,\n",
+    "        start_year=start_year,\n",
+    "        end_year=end_year\n",
+    "    )\n",
+    "\n",
+    "    CMIP_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=forcing_path_CMIP)\n",
+    "\n",
+    "    ensemble_data_CMIP = run_hbv_ensemble(\n",
+    "        par_ensemble=par_ensemble,\n",
+    "        initial_storages=s_0,\n",
+    "        forcing=CMIP_forcing\n",
+    "    )\n",
+    "\n",
+    "    start_date = pd.to_datetime(f\"{start_year + 1}-01-01\")\n",
+    "    end_date = pd.to_datetime(f\"{end_year}-12-31\")\n",
+    "\n",
+    "    lowflow_CMIP = lowflow_counter_future(\n",
+    "        ensemble_data=ensemble_data_CMIP,\n",
+    "        start_date=start_date,\n",
+    "        end_date=end_date\n",
+    "    )\n",
+    "\n",
+    "    result = {\n",
+    "        \"scenario\": scenario,\n",
+    "        \"period\": f\"{start_year + 1}-{end_year}\",\n",
+    "        \"start_year\": start_year + 1,\n",
+    "        \"end_year\": end_year,\n",
+    "        \"mean_lowflow_days\": lowflow_CMIP[\"set_avg\"].mean(),\n",
+    "        \"total_lowflow_days\": lowflow_CMIP[\"set_avg\"].sum(),\n",
+    "        \"set_1_avg\": lowflow_CMIP[\"set_1\"].mean(),\n",
+    "        \"set_2_avg\": lowflow_CMIP[\"set_2\"].mean(),\n",
+    "        \"set_3_avg\": lowflow_CMIP[\"set_3\"].mean(),\n",
+    "        \"set_4_avg\": lowflow_CMIP[\"set_4\"].mean(),\n",
+    "        \"set_5_avg\": lowflow_CMIP[\"set_5\"].mean(),\n",
+    "    }\n",
+    "\n",
+    "    return result, lowflow_CMIP, ensemble_data_CMIP"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 70,
+   "id": "1960a3b9-19e8-42a6-8cca-eb553cb17192",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running ssp126, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2025</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2050</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running ssp126, \u001b[1;36m2025\u001b[0m-\u001b[1;36m2050\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m1\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m2\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m3\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m4\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m5\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running ssp126, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2050</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2075</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running ssp126, \u001b[1;36m2050\u001b[0m-\u001b[1;36m2075\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m1\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m2\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m3\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m4\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m5\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running ssp126, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2075</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2099</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running ssp126, \u001b[1;36m2075\u001b[0m-\u001b[1;36m2099\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m1\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m2\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m3\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m4\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m5\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running ssp245, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2025</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2050</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running ssp245, \u001b[1;36m2025\u001b[0m-\u001b[1;36m2050\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m1\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m2\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m3\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m4\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m5\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running ssp245, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2050</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2075</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running ssp245, \u001b[1;36m2050\u001b[0m-\u001b[1;36m2075\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m1\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m2\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m3\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m4\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m5\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running ssp245, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2075</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2099</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running ssp245, \u001b[1;36m2075\u001b[0m-\u001b[1;36m2099\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m1\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m2\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m3\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m4\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m5\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running ssp370, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2025</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2050</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running ssp370, \u001b[1;36m2025\u001b[0m-\u001b[1;36m2050\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m1\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m2\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m3\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m4\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m5\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running ssp370, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2050</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2075</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running ssp370, \u001b[1;36m2050\u001b[0m-\u001b[1;36m2075\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m1\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m2\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m3\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m4\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m5\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running ssp370, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2075</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2099</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running ssp370, \u001b[1;36m2075\u001b[0m-\u001b[1;36m2099\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m1\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m2\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m3\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m4\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m5\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "projection_results = []\n",
+    "lowflow_results = {}\n",
+    "ensemble_results = {}\n",
+    "\n",
+    "for i in range(len(scenarios)):\n",
+    "\n",
+    "    scenario = scenarios[i]\n",
+    "\n",
+    "    for j in range(len(periods[0])):\n",
+    "\n",
+    "        start_year = periods[0][j]\n",
+    "        end_year = periods[1][j]\n",
+    "\n",
+    "        result, lowflow_CMIP, ensemble_data_CMIP = run_cmip_projection(\n",
+    "            scenario=scenario,\n",
+    "            start_year=start_year,\n",
+    "            end_year=end_year\n",
+    "        )\n",
+    "\n",
+    "        projection_results.append(result)\n",
+    "\n",
+    "        key = f\"{scenario}_{start_year + 1}_{end_year}\"\n",
+    "\n",
+    "        lowflow_results[key] = lowflow_CMIP\n",
+    "        ensemble_results[key] = ensemble_data_CMIP"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 71,
    "id": "4f2191db-b514-4312-bd9a-7301f1f95381",
    "metadata": {},
    "outputs": [
     {
-     "ename": "NameError",
-     "evalue": "name 'lowflow_counter_ensemble' is not defined",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[7], line 3\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;66;03m# Run function\u001b[39;00m\n\u001b[0;32m----> 3\u001b[0m lowflow_CMIP \u001b[38;5;241m=\u001b[39m \u001b[43mlowflow_counter_ensemble\u001b[49m(\n\u001b[1;32m      4\u001b[0m     ensemble_data\u001b[38;5;241m=\u001b[39mensemble_data_CMIP,\n\u001b[1;32m      5\u001b[0m     start_date\u001b[38;5;241m=\u001b[39mevaluation_start,\n\u001b[1;32m      6\u001b[0m     end_date\u001b[38;5;241m=\u001b[39mvalidation_end_date\n\u001b[1;32m      7\u001b[0m )\n",
-      "\u001b[0;31mNameError\u001b[0m: name 'lowflow_counter_ensemble' is not defined"
-     ]
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>scenario</th>\n",
+       "      <th>period</th>\n",
+       "      <th>start_year</th>\n",
+       "      <th>end_year</th>\n",
+       "      <th>mean_lowflow_days</th>\n",
+       "      <th>total_lowflow_days</th>\n",
+       "      <th>set_1_avg</th>\n",
+       "      <th>set_2_avg</th>\n",
+       "      <th>set_3_avg</th>\n",
+       "      <th>set_4_avg</th>\n",
+       "      <th>set_5_avg</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>ssp126</td>\n",
+       "      <td>2026-2050</td>\n",
+       "      <td>2026</td>\n",
+       "      <td>2050</td>\n",
+       "      <td>34.800000</td>\n",
+       "      <td>870.0</td>\n",
+       "      <td>46.360000</td>\n",
+       "      <td>30.400000</td>\n",
+       "      <td>35.560000</td>\n",
+       "      <td>39.200000</td>\n",
+       "      <td>22.280000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>ssp126</td>\n",
+       "      <td>2051-2075</td>\n",
+       "      <td>2051</td>\n",
+       "      <td>2075</td>\n",
+       "      <td>38.520000</td>\n",
+       "      <td>963.0</td>\n",
+       "      <td>50.160000</td>\n",
+       "      <td>35.280000</td>\n",
+       "      <td>39.040000</td>\n",
+       "      <td>42.640000</td>\n",
+       "      <td>26.320000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>ssp126</td>\n",
+       "      <td>2076-2099</td>\n",
+       "      <td>2076</td>\n",
+       "      <td>2099</td>\n",
+       "      <td>32.333333</td>\n",
+       "      <td>776.0</td>\n",
+       "      <td>43.916667</td>\n",
+       "      <td>28.916667</td>\n",
+       "      <td>33.750000</td>\n",
+       "      <td>34.875000</td>\n",
+       "      <td>19.666667</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>ssp245</td>\n",
+       "      <td>2026-2050</td>\n",
+       "      <td>2026</td>\n",
+       "      <td>2050</td>\n",
+       "      <td>41.640000</td>\n",
+       "      <td>1041.0</td>\n",
+       "      <td>50.600000</td>\n",
+       "      <td>37.640000</td>\n",
+       "      <td>42.280000</td>\n",
+       "      <td>45.200000</td>\n",
+       "      <td>32.720000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>ssp245</td>\n",
+       "      <td>2051-2075</td>\n",
+       "      <td>2051</td>\n",
+       "      <td>2075</td>\n",
+       "      <td>35.040000</td>\n",
+       "      <td>876.0</td>\n",
+       "      <td>44.960000</td>\n",
+       "      <td>31.920000</td>\n",
+       "      <td>35.200000</td>\n",
+       "      <td>37.000000</td>\n",
+       "      <td>26.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>ssp245</td>\n",
+       "      <td>2076-2099</td>\n",
+       "      <td>2076</td>\n",
+       "      <td>2099</td>\n",
+       "      <td>28.500000</td>\n",
+       "      <td>684.0</td>\n",
+       "      <td>38.708333</td>\n",
+       "      <td>24.250000</td>\n",
+       "      <td>29.958333</td>\n",
+       "      <td>32.458333</td>\n",
+       "      <td>17.166667</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>ssp370</td>\n",
+       "      <td>2026-2050</td>\n",
+       "      <td>2026</td>\n",
+       "      <td>2050</td>\n",
+       "      <td>35.080000</td>\n",
+       "      <td>877.0</td>\n",
+       "      <td>44.200000</td>\n",
+       "      <td>31.400000</td>\n",
+       "      <td>37.120000</td>\n",
+       "      <td>38.840000</td>\n",
+       "      <td>23.920000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>ssp370</td>\n",
+       "      <td>2051-2075</td>\n",
+       "      <td>2051</td>\n",
+       "      <td>2075</td>\n",
+       "      <td>46.960000</td>\n",
+       "      <td>1174.0</td>\n",
+       "      <td>58.120000</td>\n",
+       "      <td>43.520000</td>\n",
+       "      <td>49.320000</td>\n",
+       "      <td>53.640000</td>\n",
+       "      <td>30.520000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>ssp370</td>\n",
+       "      <td>2076-2099</td>\n",
+       "      <td>2076</td>\n",
+       "      <td>2099</td>\n",
+       "      <td>49.000000</td>\n",
+       "      <td>1176.0</td>\n",
+       "      <td>60.375000</td>\n",
+       "      <td>43.875000</td>\n",
+       "      <td>49.291667</td>\n",
+       "      <td>55.541667</td>\n",
+       "      <td>35.666667</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  scenario     period  start_year  end_year  mean_lowflow_days  \\\n",
+       "0   ssp126  2026-2050        2026      2050          34.800000   \n",
+       "1   ssp126  2051-2075        2051      2075          38.520000   \n",
+       "2   ssp126  2076-2099        2076      2099          32.333333   \n",
+       "3   ssp245  2026-2050        2026      2050          41.640000   \n",
+       "4   ssp245  2051-2075        2051      2075          35.040000   \n",
+       "5   ssp245  2076-2099        2076      2099          28.500000   \n",
+       "6   ssp370  2026-2050        2026      2050          35.080000   \n",
+       "7   ssp370  2051-2075        2051      2075          46.960000   \n",
+       "8   ssp370  2076-2099        2076      2099          49.000000   \n",
+       "\n",
+       "   total_lowflow_days  set_1_avg  set_2_avg  set_3_avg  set_4_avg  set_5_avg  \n",
+       "0               870.0  46.360000  30.400000  35.560000  39.200000  22.280000  \n",
+       "1               963.0  50.160000  35.280000  39.040000  42.640000  26.320000  \n",
+       "2               776.0  43.916667  28.916667  33.750000  34.875000  19.666667  \n",
+       "3              1041.0  50.600000  37.640000  42.280000  45.200000  32.720000  \n",
+       "4               876.0  44.960000  31.920000  35.200000  37.000000  26.000000  \n",
+       "5               684.0  38.708333  24.250000  29.958333  32.458333  17.166667  \n",
+       "6               877.0  44.200000  31.400000  37.120000  38.840000  23.920000  \n",
+       "7              1174.0  58.120000  43.520000  49.320000  53.640000  30.520000  \n",
+       "8              1176.0  60.375000  43.875000  49.291667  55.541667  35.666667  "
+      ]
+     },
+     "execution_count": 71,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "# Run function\n",
+    "projection_table = pd.DataFrame(projection_results)\n",
     "\n",
-    "lowflow_CMIP = lowflow_counter_ensemble(\n",
-    "    ensemble_data=ensemble_data_CMIP,\n",
-    "    start_date=evaluation_start,\n",
-    "    end_date=validation_end_date\n",
+    "projection_table"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 73,
+   "id": "09a29265-5d22-4916-874e-270a2107fd53",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th>period</th>\n",
+       "      <th>2026-2050</th>\n",
+       "      <th>2051-2075</th>\n",
+       "      <th>2076-2099</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>scenario</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>ssp126</th>\n",
+       "      <td>34.80</td>\n",
+       "      <td>38.52</td>\n",
+       "      <td>32.333333</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ssp245</th>\n",
+       "      <td>41.64</td>\n",
+       "      <td>35.04</td>\n",
+       "      <td>28.500000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ssp370</th>\n",
+       "      <td>35.08</td>\n",
+       "      <td>46.96</td>\n",
+       "      <td>49.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "period    2026-2050  2051-2075  2076-2099\n",
+       "scenario                                 \n",
+       "ssp126        34.80      38.52  32.333333\n",
+       "ssp245        41.64      35.04  28.500000\n",
+       "ssp370        35.08      46.96  49.000000"
+      ]
+     },
+     "execution_count": 73,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "projection_table = pd.DataFrame(projection_results)\n",
+    "\n",
+    "summary_table = projection_table.pivot(\n",
+    "    index=\"scenario\",\n",
+    "    columns=\"period\",\n",
+    "    values=\"mean_lowflow_days\"\n",
+    ")\n",
+    "\n",
+    "summary_table"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "85d81692-9bd9-4c68-8976-7d717451589a",
+   "metadata": {},
+   "source": [
+    "# 5. Compare forcing inputs "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 95,
+   "id": "23a41e8a-8bf1-41f1-b8df-051deb1f3e78",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def find_file_for_var(folder, var_name):\n",
+    "\n",
+    "    folder = Path(folder)\n",
+    "\n",
+    "    # First try exact final variable pattern, then broader search\n",
+    "    matches = list(folder.glob(f\"*_{var_name}.nc\"))\n",
+    "\n",
+    "    if len(matches) == 0:\n",
+    "        matches = list(folder.glob(f\"*{var_name}*.nc\"))\n",
+    "\n",
+    "    if len(matches) == 0:\n",
+    "        raise FileNotFoundError(f\"No NetCDF file found for {var_name} in {folder}\")\n",
+    "\n",
+    "    if len(matches) > 1:\n",
+    "        print(f\"Multiple files found for {var_name}, using first:\")\n",
+    "        for match in matches:\n",
+    "            print(\" -\", match.name)\n",
+    "\n",
+    "    return matches[0]\n",
+    "\n",
+    "\n",
+    "\n",
+    "def get_dataarray(dataset, preferred_name):\n",
+    "\n",
+    "    if preferred_name in dataset.data_vars:\n",
+    "        return dataset[preferred_name]\n",
+    "\n",
+    "    first_var = list(dataset.data_vars)[0]\n",
+    "    print(f\"Variable {preferred_name} not found, using {first_var} instead.\")\n",
+    "    return dataset[first_var]\n",
+    "\n",
+    "\n",
+    "def load_variable(folder, var_name):\n",
+    "\n",
+    "    file_path = find_file_for_var(folder, var_name)\n",
+    "\n",
+    "    ds = xr.open_dataset(file_path)\n",
+    "    da = get_dataarray(ds, var_name).squeeze()\n",
+    "    \n",
+    "        # Normalize daily time coordinate: removes 11:30 / 12:00 differences\n",
+    "    da = da.assign_coords(time=pd.to_datetime(da.time.values).normalize())\n",
+    "\n",
+    "    if \"time\" not in da.dims:\n",
+    "        raise ValueError(f\"{file_path} does not contain a time dimension.\")\n",
+    "\n",
+    "    return da, ds, file_path\n",
+    "\n",
+    "def to_series(da):\n",
+    "    return pd.Series(\n",
+    "        data=da.values.squeeze(),\n",
+    "        index=pd.to_datetime(da[\"time\"].values),\n",
+    "        name=da.name,\n",
+    "    )\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 96,
+   "id": "af3b7ac6-6400-4fb2-982c-acba524b2128",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def forcing_summary_period(scenario, start_year, end_year):\n",
+    "\n",
+    "    forcing_path = forcing_path_cmip(scenario, start_year, end_year)\n",
+    "\n",
+    "    variables = [\"pr\", \"tas\", \"rsds\", \"evspsblpot\"]\n",
+    "    rows = []\n",
+    "\n",
+    "    for var_name in variables:\n",
+    "\n",
+    "        da, _, _ = load_variable(forcing_path, var_name)\n",
+    "        s = to_series(da)\n",
+    "\n",
+    "        if var_name in [\"pr\", \"evspsblpot\"]:\n",
+    "            s = s * 86400\n",
+    "            value = s.sum() / (end_year - start_year + 1)\n",
+    "            stat = \"mean annual sum mm/year\"\n",
+    "\n",
+    "        elif var_name == \"tas\":\n",
+    "            s = s - 273.15\n",
+    "            value = s.mean()\n",
+    "            stat = \"mean °C\"\n",
+    "\n",
+    "        elif var_name == \"rsds\":\n",
+    "            value = s.mean()\n",
+    "            stat = \"mean W/m²\"\n",
+    "\n",
+    "        rows.append({\n",
+    "            \"scenario\": scenario,\n",
+    "            \"period\": f\"{start_year}-{end_year}\",\n",
+    "            \"variable\": var_name,\n",
+    "            \"statistic\": stat,\n",
+    "            \"value\": value\n",
+    "        })\n",
+    "\n",
+    "    return pd.DataFrame(rows)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 101,
+   "id": "a1684e51-2489-4fad-9ccd-6c98c042ae9b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "forcing_summaries = []\n",
+    "\n",
+    "for scenario in scenarios:\n",
+    "\n",
+    "    for i in range(len(periods[0])):\n",
+    "\n",
+    "        start_year = periods[0][i]\n",
+    "        end_year = periods[1][i]\n",
+    "\n",
+    "        forcing_summaries.append(\n",
+    "            forcing_summary_period(scenario, start_year, end_year)\n",
+    "        )\n",
+    "\n",
+    "forcing_summary_table = pd.concat(forcing_summaries, ignore_index=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 102,
+   "id": "8ebc562a-dd7a-4fc5-95ad-fcc2da9a92d1",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>variable</th>\n",
+       "      <th>evspsblpot</th>\n",
+       "      <th>pr</th>\n",
+       "      <th>rsds</th>\n",
+       "      <th>tas</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>scenario</th>\n",
+       "      <th>period</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"3\" valign=\"top\">ssp126</th>\n",
+       "      <th>2025-2050</th>\n",
+       "      <td>621.115827</td>\n",
+       "      <td>633.866016</td>\n",
+       "      <td>138.530518</td>\n",
+       "      <td>2.507785</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2050-2075</th>\n",
+       "      <td>625.834602</td>\n",
+       "      <td>630.108168</td>\n",
+       "      <td>138.729980</td>\n",
+       "      <td>2.994848</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2075-2099</th>\n",
+       "      <td>621.526396</td>\n",
+       "      <td>645.313406</td>\n",
+       "      <td>138.176804</td>\n",
+       "      <td>2.738721</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"3\" valign=\"top\">ssp245</th>\n",
+       "      <th>2025-2050</th>\n",
+       "      <td>628.019652</td>\n",
+       "      <td>622.963642</td>\n",
+       "      <td>139.454956</td>\n",
+       "      <td>2.663425</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2050-2075</th>\n",
+       "      <td>632.682703</td>\n",
+       "      <td>637.349485</td>\n",
+       "      <td>138.314972</td>\n",
+       "      <td>3.588089</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2075-2099</th>\n",
+       "      <td>635.643577</td>\n",
+       "      <td>659.815115</td>\n",
+       "      <td>137.841309</td>\n",
+       "      <td>3.646670</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"3\" valign=\"top\">ssp370</th>\n",
+       "      <th>2025-2050</th>\n",
+       "      <td>623.396508</td>\n",
+       "      <td>640.490159</td>\n",
+       "      <td>138.547470</td>\n",
+       "      <td>2.715807</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2050-2075</th>\n",
+       "      <td>636.281969</td>\n",
+       "      <td>650.255712</td>\n",
+       "      <td>136.660095</td>\n",
+       "      <td>4.362177</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2075-2099</th>\n",
+       "      <td>656.929423</td>\n",
+       "      <td>645.734789</td>\n",
+       "      <td>136.637268</td>\n",
+       "      <td>5.423460</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "variable            evspsblpot          pr        rsds       tas\n",
+       "scenario period                                                 \n",
+       "ssp126   2025-2050  621.115827  633.866016  138.530518  2.507785\n",
+       "         2050-2075  625.834602  630.108168  138.729980  2.994848\n",
+       "         2075-2099  621.526396  645.313406  138.176804  2.738721\n",
+       "ssp245   2025-2050  628.019652  622.963642  139.454956  2.663425\n",
+       "         2050-2075  632.682703  637.349485  138.314972  3.588089\n",
+       "         2075-2099  635.643577  659.815115  137.841309  3.646670\n",
+       "ssp370   2025-2050  623.396508  640.490159  138.547470  2.715807\n",
+       "         2050-2075  636.281969  650.255712  136.660095  4.362177\n",
+       "         2075-2099  656.929423  645.734789  136.637268  5.423460"
+      ]
+     },
+     "execution_count": 102,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "forcing_summary_pivot = forcing_summary_table.pivot_table(\n",
+    "    index=[\"scenario\", \"period\"],\n",
+    "    columns=\"variable\",\n",
+    "    values=\"value\"\n",
+    ")\n",
+    "\n",
+    "forcing_summary_pivot"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "101971f4-29d2-4cae-8d85-c0536f9a0309",
+   "metadata": {},
+   "source": [
+    "# 6. CDF"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 123,
+   "id": "964447be-e895-417f-8d1c-49f12ac9f8b4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def plot_lowflow_cdf_by_scenario(lowflow_results, scenarios, periods):\n",
+    "\n",
+    "    plt.figure(figsize=(8, 5))\n",
+    "\n",
+    "    for scenario in scenarios:\n",
+    "\n",
+    "        all_lowflows = []\n",
+    "\n",
+    "        for i in range(len(periods[0])):\n",
+    "\n",
+    "            start_year = periods[0][i]\n",
+    "            end_year = periods[1][i]\n",
+    "\n",
+    "            key = f\"{scenario}_{start_year}_{end_year}\"\n",
+    "\n",
+    "            lowflow_table = lowflow_results[key]\n",
+    "\n",
+    "            all_lowflows.extend(lowflow_table[\"set_avg\"].values)\n",
+    "\n",
+    "        values = np.sort(all_lowflows)\n",
+    "        cdf = np.arange(1, len(values) + 1) / len(values)\n",
+    "\n",
+    "        plt.plot(\n",
+    "            values,\n",
+    "            cdf,\n",
+    "            marker=\"o\",\n",
+    "            label=scenario\n",
+    "        )\n",
+    "\n",
+    "    plt.xlabel(\"Annual low-flow days\")\n",
+    "    plt.ylabel(\"Cumulative probability\")\n",
+    "    plt.title(\"CDF of annual low-flow days by SSP scenario\")\n",
+    "    plt.grid(True)\n",
+    "    plt.legend()\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 124,
+   "id": "29457adb-46b7-4dba-9bd1-fe4c9680b0e3",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 800x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "periods = [\n",
+    "    [2026, 2051, 2076],\n",
+    "    [2050, 2075, 2099]\n",
+    "]\n",
+    "\n",
+    "plot_lowflow_cdf_by_scenario(\n",
+    "    lowflow_results=lowflow_results,\n",
+    "    scenarios=scenarios,\n",
+    "    periods=periods\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 125,
+   "id": "abf22269-2b3b-4d07-976f-eaa319abc450",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def plot_lowflow_exceedance_by_scenario(lowflow_results, scenarios, periods):\n",
+    "\n",
+    "    plt.figure(figsize=(8, 5))\n",
+    "\n",
+    "    for scenario in scenarios:\n",
+    "\n",
+    "        all_lowflows = []\n",
+    "\n",
+    "        for i in range(len(periods[0])):\n",
+    "\n",
+    "            start_year = periods[0][i]\n",
+    "            end_year = periods[1][i]\n",
+    "\n",
+    "            key = f\"{scenario}_{start_year}_{end_year}\"\n",
+    "            lowflow_table = lowflow_results[key]\n",
+    "\n",
+    "            all_lowflows.extend(lowflow_table[\"set_avg\"].values)\n",
+    "\n",
+    "        values = np.sort(all_lowflows)\n",
+    "        exceedance = 1 - (np.arange(1, len(values) + 1) / len(values))\n",
+    "\n",
+    "        plt.plot(values, exceedance, marker=\"o\", label=scenario)\n",
+    "\n",
+    "    plt.xlabel(\"Annual low-flow days\")\n",
+    "    plt.ylabel(\"Exceedance probability\")\n",
+    "    plt.title(\"Exceedance probability of annual low-flow days\")\n",
+    "    plt.grid(True)\n",
+    "    plt.legend()\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 126,
+   "id": "32f34c72-bda8-4494-a39d-a20e6cde0c23",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 800x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_lowflow_exceedance_by_scenario(lowflow_results, scenarios, periods)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 129,
+   "id": "35dd004b-bef3-4970-9823-a44ced707350",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def boxplot_lowflow_by_scenario(lowflow_results, scenarios, periods):\n",
+    "\n",
+    "    data = []\n",
+    "    labels = []\n",
+    "\n",
+    "    for scenario in scenarios:\n",
+    "\n",
+    "        all_lowflows = []\n",
+    "\n",
+    "        for i in range(len(periods[0])):\n",
+    "\n",
+    "            start_year = periods[0][i]\n",
+    "            end_year = periods[1][i]\n",
+    "\n",
+    "            key = f\"{scenario}_{start_year}_{end_year}\"\n",
+    "            lowflow_table = lowflow_results[key]\n",
+    "\n",
+    "            all_lowflows.extend(lowflow_table[\"set_avg\"].values)\n",
+    "\n",
+    "        data.append(all_lowflows)\n",
+    "        labels.append(scenario)\n",
+    "\n",
+    "    plt.figure(figsize=(7, 5))\n",
+    "    plt.boxplot(data, labels=labels)\n",
+    "    plt.ylabel(\"Annual low-flow days\")\n",
+    "    plt.title(\"Distribution of annual low-flow days by SSP scenario\")\n",
+    "    plt.grid(True)\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 130,
+   "id": "dfc21d1f-e6ec-4e0c-8d1e-30d33bae63c0",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 700x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "boxplot_lowflow_by_scenario(lowflow_results, scenarios, periods)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 133,
+   "id": "ed383273-c6ab-419b-8468-db2574759ca6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def lowflow_quantile_table(lowflow_results, scenarios, periods):\n",
+    "\n",
+    "    rows = []\n",
+    "\n",
+    "    for scenario in scenarios:\n",
+    "\n",
+    "        all_lowflows = []\n",
+    "\n",
+    "        for i in range(len(periods[0])):\n",
+    "\n",
+    "            start_year = periods[0][i]\n",
+    "            end_year = periods[1][i]\n",
+    "\n",
+    "            key = f\"{scenario}_{start_year}_{end_year}\"\n",
+    "            lowflow_table = lowflow_results[key]\n",
+    "\n",
+    "            all_lowflows.extend(lowflow_table[\"set_avg\"].values)\n",
+    "\n",
+    "        values = pd.Series(all_lowflows)\n",
+    "\n",
+    "        rows.append({\n",
+    "            \"scenario\": scenario,\n",
+    "            \"mean\": values.mean(),\n",
+    "            \"median\": values.median(),\n",
+    "            \"p75\": values.quantile(0.75),\n",
+    "            \"p90\": values.quantile(0.90),\n",
+    "            \"max\": values.max()\n",
+    "        })\n",
+    "\n",
+    "    return pd.DataFrame(rows)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 134,
+   "id": "d8f4d969-f769-4d5d-a1ff-91d7d0c36ca6",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>scenario</th>\n",
+       "      <th>mean</th>\n",
+       "      <th>median</th>\n",
+       "      <th>p75</th>\n",
+       "      <th>p90</th>\n",
+       "      <th>max</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>ssp126</td>\n",
+       "      <td>35.256757</td>\n",
+       "      <td>31.0</td>\n",
+       "      <td>51.00</td>\n",
+       "      <td>71.8</td>\n",
+       "      <td>143.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>ssp245</td>\n",
+       "      <td>35.148649</td>\n",
+       "      <td>22.5</td>\n",
+       "      <td>54.75</td>\n",
+       "      <td>79.0</td>\n",
+       "      <td>141.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>ssp370</td>\n",
+       "      <td>43.608108</td>\n",
+       "      <td>43.0</td>\n",
+       "      <td>63.00</td>\n",
+       "      <td>94.1</td>\n",
+       "      <td>130.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  scenario       mean  median    p75   p90    max\n",
+       "0   ssp126  35.256757    31.0  51.00  71.8  143.0\n",
+       "1   ssp245  35.148649    22.5  54.75  79.0  141.0\n",
+       "2   ssp370  43.608108    43.0  63.00  94.1  130.0"
+      ]
+     },
+     "execution_count": 134,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "lowflow_quantile_table(lowflow_results, scenarios, periods)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5cac1501-763f-4b20-a78b-710b2f8f5439",
+   "metadata": {},
+   "source": [
+    "# 7. Algorithm 2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 115,
+   "id": "25308279-2c05-4416-ba45-eb4bbe144816",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "selected_scenario = \"ssp370\"\n",
+    "start_year = 2075\n",
+    "end_year = 2099\n",
+    "AFDD_critical = 30"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 116,
+   "id": "ffd467d3-7a30-4ae2-9a69-3cf8cdfcf079",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m1\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m2\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m3\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m4\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m5\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "forcing_path_CMIP = forcing_path_cmip(\n",
+    "    scenario=selected_scenario,\n",
+    "    start_year=start_year,\n",
+    "    end_year=end_year\n",
+    ")\n",
+    "\n",
+    "CMIP_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(\n",
+    "    directory=forcing_path_CMIP\n",
+    ")\n",
+    "\n",
+    "ensemble_data_CMIP = run_hbv_ensemble(\n",
+    "    par_ensemble=par_ensemble,\n",
+    "    initial_storages=s_0,\n",
+    "    forcing=CMIP_forcing\n",
     ")"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 117,
+   "id": "90cca3f7-b8fc-43ff-83a7-52109a7ac06d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def find_freshet_start_dates(ensemble_data, start_year, end_year):\n",
+    "\n",
+    "    freshet_dates = []\n",
+    "\n",
+    "    for year in range(start_year, end_year + 1):\n",
+    "\n",
+    "        year_start = pd.to_datetime(f\"{year}-03-01\")\n",
+    "        year_end = pd.to_datetime(f\"{year}-08-01\")\n",
+    "\n",
+    "        season_data = ensemble_data[\n",
+    "            (ensemble_data.index >= year_start) &\n",
+    "            (ensemble_data.index <= year_end)\n",
+    "        ]\n",
+    "\n",
+    "        above_critical = season_data[season_data[\"Mean\"] > q_critical]\n",
+    "\n",
+    "        if len(above_critical) > 0:\n",
+    "            freshet_date = above_critical.index[0]\n",
+    "            discharge = above_critical.iloc[0][\"Mean\"]\n",
+    "        else:\n",
+    "            freshet_date = pd.NaT\n",
+    "            discharge = np.nan\n",
+    "\n",
+    "        freshet_dates.append({\n",
+    "            \"year\": year,\n",
+    "            \"freshet_start\": freshet_date,\n",
+    "            \"freshet_discharge\": discharge\n",
+    "        })\n",
+    "\n",
+    "    return pd.DataFrame(freshet_dates)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 118,
+   "id": "cc42c522-f9e6-4ed4-9c20-ca1a79863683",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def find_freezeup_dates(forcing_path, start_year, end_year, AFDD_critical=30):\n",
+    "\n",
+    "    tas_da, _, _ = load_variable(forcing_path, \"tas\")\n",
+    "\n",
+    "    tas = to_series(tas_da)\n",
+    "\n",
+    "    if tas.mean() > 100:\n",
+    "        tas = tas - 273.15\n",
+    "\n",
+    "    freezeup_dates = []\n",
+    "\n",
+    "    for year in range(start_year, end_year + 1):\n",
+    "\n",
+    "        year_start = pd.to_datetime(f\"{year}-10-01\")\n",
+    "        year_end = pd.to_datetime(f\"{year}-12-31\")\n",
+    "\n",
+    "        year_tas = tas[\n",
+    "            (tas.index >= year_start) &\n",
+    "            (tas.index <= year_end)\n",
+    "        ]\n",
+    "\n",
+    "        AFDD = 0\n",
+    "        freezeup_date = pd.NaT\n",
+    "        freezeup_temp = np.nan\n",
+    "\n",
+    "        for date, temp in year_tas.items():\n",
+    "\n",
+    "            if temp < 0:\n",
+    "                AFDD += -temp\n",
+    "\n",
+    "            if AFDD >= AFDD_critical:\n",
+    "                freezeup_date = date\n",
+    "                freezeup_temp = temp\n",
+    "                break\n",
+    "\n",
+    "        freezeup_dates.append({\n",
+    "            \"year\": year,\n",
+    "            \"freezeup_date\": freezeup_date,\n",
+    "            \"AFDD\": AFDD,\n",
+    "            \"temp_at_freezeup\": freezeup_temp\n",
+    "        })\n",
+    "\n",
+    "    return pd.DataFrame(freezeup_dates)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 119,
+   "id": "7a34f8d4-6ec5-4cc1-ac98-60609c6cb7bb",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>year</th>\n",
+       "      <th>freshet_start</th>\n",
+       "      <th>freshet_discharge</th>\n",
+       "      <th>freezeup_date</th>\n",
+       "      <th>AFDD</th>\n",
+       "      <th>temp_at_freezeup</th>\n",
+       "      <th>open_water_days</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2075</td>\n",
+       "      <td>2075-04-21</td>\n",
+       "      <td>519.219346</td>\n",
+       "      <td>2075-11-19</td>\n",
+       "      <td>35.262756</td>\n",
+       "      <td>-8.498932</td>\n",
+       "      <td>212</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2076</td>\n",
+       "      <td>2076-03-24</td>\n",
+       "      <td>520.049117</td>\n",
+       "      <td>2076-11-21</td>\n",
+       "      <td>39.384277</td>\n",
+       "      <td>-9.844208</td>\n",
+       "      <td>242</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2077</td>\n",
+       "      <td>2077-03-29</td>\n",
+       "      <td>546.557068</td>\n",
+       "      <td>2077-11-10</td>\n",
+       "      <td>32.923767</td>\n",
+       "      <td>-5.950165</td>\n",
+       "      <td>226</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2078</td>\n",
+       "      <td>2078-04-07</td>\n",
+       "      <td>514.114383</td>\n",
+       "      <td>2078-10-22</td>\n",
+       "      <td>30.640839</td>\n",
+       "      <td>-5.857758</td>\n",
+       "      <td>198</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2079</td>\n",
+       "      <td>2079-03-30</td>\n",
+       "      <td>510.619604</td>\n",
+       "      <td>2079-11-27</td>\n",
+       "      <td>33.224365</td>\n",
+       "      <td>-5.251129</td>\n",
+       "      <td>242</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>2080</td>\n",
+       "      <td>2080-04-01</td>\n",
+       "      <td>569.975708</td>\n",
+       "      <td>2080-11-23</td>\n",
+       "      <td>37.704834</td>\n",
+       "      <td>-8.989227</td>\n",
+       "      <td>236</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>2081</td>\n",
+       "      <td>2081-04-01</td>\n",
+       "      <td>542.075464</td>\n",
+       "      <td>2081-11-16</td>\n",
+       "      <td>30.076477</td>\n",
+       "      <td>-5.813904</td>\n",
+       "      <td>229</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>2082</td>\n",
+       "      <td>2082-04-07</td>\n",
+       "      <td>538.807757</td>\n",
+       "      <td>2082-10-26</td>\n",
+       "      <td>30.872345</td>\n",
+       "      <td>-7.023956</td>\n",
+       "      <td>202</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>2083</td>\n",
+       "      <td>2083-04-20</td>\n",
+       "      <td>504.327828</td>\n",
+       "      <td>2083-11-11</td>\n",
+       "      <td>40.646301</td>\n",
+       "      <td>-12.157623</td>\n",
+       "      <td>205</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>2084</td>\n",
+       "      <td>2084-04-01</td>\n",
+       "      <td>534.445682</td>\n",
+       "      <td>2084-11-15</td>\n",
+       "      <td>31.272736</td>\n",
+       "      <td>-2.706055</td>\n",
+       "      <td>228</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>2085</td>\n",
+       "      <td>2085-03-15</td>\n",
+       "      <td>535.753353</td>\n",
+       "      <td>2085-11-18</td>\n",
+       "      <td>32.819702</td>\n",
+       "      <td>-8.045135</td>\n",
+       "      <td>248</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>2086</td>\n",
+       "      <td>2086-04-08</td>\n",
+       "      <td>510.921158</td>\n",
+       "      <td>2086-10-30</td>\n",
+       "      <td>31.245911</td>\n",
+       "      <td>-5.614410</td>\n",
+       "      <td>205</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>2087</td>\n",
+       "      <td>2087-04-09</td>\n",
+       "      <td>544.183194</td>\n",
+       "      <td>2087-10-26</td>\n",
+       "      <td>36.040955</td>\n",
+       "      <td>-6.891754</td>\n",
+       "      <td>200</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>2088</td>\n",
+       "      <td>2088-03-23</td>\n",
+       "      <td>513.473558</td>\n",
+       "      <td>2088-11-23</td>\n",
+       "      <td>34.870117</td>\n",
+       "      <td>-9.704865</td>\n",
+       "      <td>245</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>2089</td>\n",
+       "      <td>2089-03-30</td>\n",
+       "      <td>540.635754</td>\n",
+       "      <td>2089-11-10</td>\n",
+       "      <td>33.336151</td>\n",
+       "      <td>-5.598053</td>\n",
+       "      <td>225</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>2090</td>\n",
+       "      <td>2090-03-01</td>\n",
+       "      <td>805.603357</td>\n",
+       "      <td>2090-11-28</td>\n",
+       "      <td>38.458557</td>\n",
+       "      <td>-8.481995</td>\n",
+       "      <td>272</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>2091</td>\n",
+       "      <td>2091-03-05</td>\n",
+       "      <td>523.091265</td>\n",
+       "      <td>2091-11-26</td>\n",
+       "      <td>30.777435</td>\n",
+       "      <td>-5.819916</td>\n",
+       "      <td>266</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>2092</td>\n",
+       "      <td>2092-04-15</td>\n",
+       "      <td>537.450487</td>\n",
+       "      <td>2092-12-10</td>\n",
+       "      <td>31.693726</td>\n",
+       "      <td>-5.528595</td>\n",
+       "      <td>239</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>2093</td>\n",
+       "      <td>2093-03-04</td>\n",
+       "      <td>503.797591</td>\n",
+       "      <td>2093-11-17</td>\n",
+       "      <td>31.754303</td>\n",
+       "      <td>-2.685608</td>\n",
+       "      <td>258</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>2094</td>\n",
+       "      <td>2094-03-25</td>\n",
+       "      <td>563.613810</td>\n",
+       "      <td>2094-11-12</td>\n",
+       "      <td>32.975311</td>\n",
+       "      <td>-10.855835</td>\n",
+       "      <td>232</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>2095</td>\n",
+       "      <td>2095-03-06</td>\n",
+       "      <td>573.481886</td>\n",
+       "      <td>2095-11-15</td>\n",
+       "      <td>32.214935</td>\n",
+       "      <td>-7.631531</td>\n",
+       "      <td>254</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>2096</td>\n",
+       "      <td>2096-03-23</td>\n",
+       "      <td>520.442698</td>\n",
+       "      <td>2096-11-25</td>\n",
+       "      <td>34.426178</td>\n",
+       "      <td>-6.217194</td>\n",
+       "      <td>247</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>2097</td>\n",
+       "      <td>2097-04-19</td>\n",
+       "      <td>511.132103</td>\n",
+       "      <td>2097-11-19</td>\n",
+       "      <td>35.140442</td>\n",
+       "      <td>-7.922821</td>\n",
+       "      <td>214</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>2098</td>\n",
+       "      <td>2098-03-16</td>\n",
+       "      <td>601.581833</td>\n",
+       "      <td>2098-11-14</td>\n",
+       "      <td>31.264648</td>\n",
+       "      <td>-9.818970</td>\n",
+       "      <td>243</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>2099</td>\n",
+       "      <td>2099-03-12</td>\n",
+       "      <td>545.881703</td>\n",
+       "      <td>2099-11-21</td>\n",
+       "      <td>32.216797</td>\n",
+       "      <td>-10.493774</td>\n",
+       "      <td>254</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    year freshet_start  freshet_discharge freezeup_date       AFDD  \\\n",
+       "0   2075    2075-04-21         519.219346    2075-11-19  35.262756   \n",
+       "1   2076    2076-03-24         520.049117    2076-11-21  39.384277   \n",
+       "2   2077    2077-03-29         546.557068    2077-11-10  32.923767   \n",
+       "3   2078    2078-04-07         514.114383    2078-10-22  30.640839   \n",
+       "4   2079    2079-03-30         510.619604    2079-11-27  33.224365   \n",
+       "5   2080    2080-04-01         569.975708    2080-11-23  37.704834   \n",
+       "6   2081    2081-04-01         542.075464    2081-11-16  30.076477   \n",
+       "7   2082    2082-04-07         538.807757    2082-10-26  30.872345   \n",
+       "8   2083    2083-04-20         504.327828    2083-11-11  40.646301   \n",
+       "9   2084    2084-04-01         534.445682    2084-11-15  31.272736   \n",
+       "10  2085    2085-03-15         535.753353    2085-11-18  32.819702   \n",
+       "11  2086    2086-04-08         510.921158    2086-10-30  31.245911   \n",
+       "12  2087    2087-04-09         544.183194    2087-10-26  36.040955   \n",
+       "13  2088    2088-03-23         513.473558    2088-11-23  34.870117   \n",
+       "14  2089    2089-03-30         540.635754    2089-11-10  33.336151   \n",
+       "15  2090    2090-03-01         805.603357    2090-11-28  38.458557   \n",
+       "16  2091    2091-03-05         523.091265    2091-11-26  30.777435   \n",
+       "17  2092    2092-04-15         537.450487    2092-12-10  31.693726   \n",
+       "18  2093    2093-03-04         503.797591    2093-11-17  31.754303   \n",
+       "19  2094    2094-03-25         563.613810    2094-11-12  32.975311   \n",
+       "20  2095    2095-03-06         573.481886    2095-11-15  32.214935   \n",
+       "21  2096    2096-03-23         520.442698    2096-11-25  34.426178   \n",
+       "22  2097    2097-04-19         511.132103    2097-11-19  35.140442   \n",
+       "23  2098    2098-03-16         601.581833    2098-11-14  31.264648   \n",
+       "24  2099    2099-03-12         545.881703    2099-11-21  32.216797   \n",
+       "\n",
+       "    temp_at_freezeup  open_water_days  \n",
+       "0          -8.498932              212  \n",
+       "1          -9.844208              242  \n",
+       "2          -5.950165              226  \n",
+       "3          -5.857758              198  \n",
+       "4          -5.251129              242  \n",
+       "5          -8.989227              236  \n",
+       "6          -5.813904              229  \n",
+       "7          -7.023956              202  \n",
+       "8         -12.157623              205  \n",
+       "9          -2.706055              228  \n",
+       "10         -8.045135              248  \n",
+       "11         -5.614410              205  \n",
+       "12         -6.891754              200  \n",
+       "13         -9.704865              245  \n",
+       "14         -5.598053              225  \n",
+       "15         -8.481995              272  \n",
+       "16         -5.819916              266  \n",
+       "17         -5.528595              239  \n",
+       "18         -2.685608              258  \n",
+       "19        -10.855835              232  \n",
+       "20         -7.631531              254  \n",
+       "21         -6.217194              247  \n",
+       "22         -7.922821              214  \n",
+       "23         -9.818970              243  \n",
+       "24        -10.493774              254  "
+      ]
+     },
+     "execution_count": 119,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "freshet_dates = find_freshet_start_dates(\n",
+    "    ensemble_data=ensemble_data_CMIP,\n",
+    "    start_year=start_year,\n",
+    "    end_year=end_year\n",
+    ")\n",
+    "\n",
+    "freezeup_dates = find_freezeup_dates(\n",
+    "    forcing_path=forcing_path_CMIP,\n",
+    "    start_year=start_year,\n",
+    "    end_year=end_year,\n",
+    "    AFDD_critical=AFDD_critical\n",
+    ")\n",
+    "\n",
+    "open_water_dates = freshet_dates.merge(\n",
+    "    freezeup_dates,\n",
+    "    on=\"year\",\n",
+    "    how=\"inner\"\n",
+    ")\n",
+    "\n",
+    "open_water_dates[\"open_water_days\"] = (\n",
+    "    open_water_dates[\"freezeup_date\"] - open_water_dates[\"freshet_start\"]\n",
+    ").dt.days\n",
+    "\n",
+    "open_water_dates"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "09a29265-5d22-4916-874e-270a2107fd53",
+   "id": "b3ab704a-8d4d-41c8-bb15-afdabd658204",
    "metadata": {},
    "outputs": [],
    "source": []

From d908345b21040b7f11c0c80f4f2ce82306cb743f Mon Sep 17 00:00:00 2001
From: Maxime <mxdebekker@gmail.com>
Date: Mon, 8 Jun 2026 17:34:14 +0200
Subject: [PATCH 15/24] Step7_CMIP_Projections

Improved code, data analysis and improved code structure.
---
 .../Workyard/Step7_CMIP_Projections.ipynb     | 1834 +++++++++++++++--
 1 file changed, 1713 insertions(+), 121 deletions(-)

diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step7_CMIP_Projections.ipynb b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step7_CMIP_Projections.ipynb
index ef8aa845..ff70e3b4 100644
--- a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step7_CMIP_Projections.ipynb
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step7_CMIP_Projections.ipynb
@@ -13,8 +13,8 @@
     "\n",
     "### 1. Startup\n",
     "### 2. Model setup\n",
-    "### 3. Running model\n",
-    "### 4. Lowflow calculation"
+    "### 3. Lowflow setup\n",
+    "### 4. Running model"
    ]
   },
   {
@@ -27,7 +27,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 73,
    "id": "71668e92-f5c4-49b2-9eed-20f91997c193",
    "metadata": {},
    "outputs": [],
@@ -51,7 +51,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 74,
    "id": "f2135c0b-ba31-4f05-bf37-435a99b1788f",
    "metadata": {},
    "outputs": [],
@@ -64,7 +64,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 75,
    "id": "c5166bb7-f81f-4967-a65a-d1933464ce7f",
    "metadata": {},
    "outputs": [],
@@ -75,33 +75,50 @@
     "q_critical = 500\n",
     "\n",
     "start_year = 2025\n",
-    "end_year = 2050\n",
+    "end_year = 2050"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 76,
+   "id": "6880e7f0-2609-4c3f-82bd-c2440981fa72",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "scenarios = [\"ssp126\", \"ssp245\", \"ssp370\"]\n",
     "\n",
-    "# Choose CMIP Scenario: \n",
-    "Scenario = \"ssp126\"    # Options: historical, ssp119, ssp126, ssp245, ssp,370, ssp585\n",
-    "Scenario = {\"ssp126\", \"sspx\", \"sspx\"}"
+    "periods = [\n",
+    "    [2025, 2050, 2075],\n",
+    "    [2050, 2075, 2099]\n",
+    "]"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 77,
    "id": "c398fe4d-66fb-430a-8f82-ad85e924f592",
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Create pathways for ERA 5 forcings\n",
+    "# Create pathways\n",
+    "\n",
+    "def forcing_path_cmip(scenario, start_year, end_year):\n",
+    "    \n",
+    "    forcing_path = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / scenario / f\"CMIP6-{start_year}-{end_year}\"\n",
+    "    \n",
+    "    return forcing_path\n",
     "\n",
-    "forcing_path_CMIP = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / Scenario / f\"CMIP6-{start_year}-{end_year}\"\n",
+    "shape_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
     "\n",
-    "shape_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "discharge_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
     "\n",
-    "hbv_config = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"hbv_config\"\n",
+    "hbv_config = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"hbv_config\"\n",
     "hbv_config.mkdir(parents=True, exist_ok=True)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 78,
    "id": "a7bab7da-b7e7-442c-b4b0-e5c3b0ededcb",
    "metadata": {},
    "outputs": [],
@@ -119,45 +136,26 @@
     "evaluation_start = pd.to_datetime(f\"{validation_start_date.year + 1}-01-01\")"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "id": "47ca81c0-59ac-40b1-8cdd-ea6bb4ea1e0d",
-   "metadata": {},
-   "source": [
-    "### Load CMIP data"
-   ]
-  },
   {
    "cell_type": "code",
-   "execution_count": 6,
-   "id": "c0873cb8-69da-49cd-84fe-d45d9684277f",
+   "execution_count": null,
+   "id": "84ca0034-eb95-41b8-84e6-4ccdfc7129c2",
    "metadata": {},
-   "outputs": [
-    {
-     "ename": "NameError",
-     "evalue": "name 'forcing_path_CMIP' is not defined",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[6], line 2\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;66;03m# Load data\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m CMIP_forcing \u001b[38;5;241m=\u001b[39m ewatercycle\u001b[38;5;241m.\u001b[39mforcing\u001b[38;5;241m.\u001b[39msources[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mLumpedMakkinkForcing\u001b[39m\u001b[38;5;124m\"\u001b[39m]\u001b[38;5;241m.\u001b[39mload(directory\u001b[38;5;241m=\u001b[39m\u001b[43mforcing_path_CMIP\u001b[49m)\n\u001b[1;32m      4\u001b[0m \u001b[38;5;28mprint\u001b[39m(CMIP_forcing)\n",
-      "\u001b[0;31mNameError\u001b[0m: name 'forcing_path_CMIP' is not defined"
-     ]
-    }
-   ],
-   "source": [
-    "# Load data\n",
-    "CMIP_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=forcing_path_CMIP)\n",
-    "\n",
-    "print(CMIP_forcing)"
-   ]
+   "outputs": [],
+   "source": []
   },
   {
    "cell_type": "markdown",
    "id": "f4a7211e-cb74-4a90-8229-de7000cf2dd5",
    "metadata": {},
    "source": [
-    "## 2. Model setup"
+    "## 2. Model setup\n",
+    "\n",
+    "For running the model, the following steps are taken:\n",
+    "\n",
+    "##### 2.1 Load parameter sets & initial storages\n",
+    "##### 2.2 Model configuration\n",
+    "##### 2.3 Model setup run"
    ]
   },
   {
@@ -165,12 +163,12 @@
    "id": "d31e5426-3e95-4902-913c-c40da613b8aa",
    "metadata": {},
    "source": [
-    "### Load parameter sets & initial storages"
+    "### 2.1 Load parameter sets & initial storages"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 79,
    "id": "d776ff36-b69a-4321-9468-d4fa85350ef3",
    "metadata": {},
    "outputs": [],
@@ -200,7 +198,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 80,
    "id": "c60f825e-520a-4b00-83ab-16bdcfe60471",
    "metadata": {},
    "outputs": [],
@@ -216,12 +214,12 @@
    "id": "70ba5ea1-8a76-463a-a14c-415673632103",
    "metadata": {},
    "source": [
-    "### Config model "
+    "### 2.2 Model configuration"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 81,
    "id": "70664027-bb24-47cc-814d-eb8eccbc1715",
    "metadata": {},
    "outputs": [],
@@ -271,12 +269,12 @@
    "id": "fc3a24e7-53d6-4b62-aab1-ea705cefa75a",
    "metadata": {},
    "source": [
-    "## 3. Running model"
+    "### 2.3 Model setup run"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 82,
    "id": "1dab11de-a9f9-4e58-bc05-29926875e2d0",
    "metadata": {},
    "outputs": [],
@@ -311,93 +309,67 @@
     "        # Append new column for every parameter set results\n",
     "        ensemble_data[f\"Set {i+1}\"] = simulated\n",
     "\n",
-    "    # Filter observed data by day\n",
-    "    observed_daily = observed_output\n",
-    "    observed_daily.index = pd.to_datetime(observed_daily.index).tz_localize(None).normalize()\n",
-    "\n",
     "    # Add mean of all sets\n",
     "    ensemble_data[\"Mean\"] = ensemble_data.mean(axis=1)\n",
-    "    ensemble_data['Observed discharge'] = observed_daily\n",
     "\n",
     "    return ensemble_data"
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "8e42b731-3b74-43e3-bef9-267ca46cbe5d",
+   "cell_type": "markdown",
+   "id": "ae52fc14-876c-4464-8fb0-7f88c9356df3",
    "metadata": {},
-   "outputs": [],
    "source": [
-    "# Run model functions\n",
+    "## 3. Lowflow setup\n",
     "\n",
-    "ensemble_data_CMIP = run_hbv_ensemble(\n",
-    "    par_ensemble=par_ensemble,\n",
-    "    initial_storages=s_0,\n",
-    "    forcing=CMIP_forcing\n",
-    ")"
+    "Before running the model, the way lowflows are counted must be defined. this is so these functions can be called for every model run under every parameter set, scenario type and time period. The following steps are taken:\n",
+    "\n",
+    "##### 3.1 Lowflow counter for the future\n",
+    "##### 3.2 Lowflow counter for observed data"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "110cc380-2552-4be7-9846-5cc8b21d1b9d",
+   "id": "3b585bec-2c55-4d07-90a6-b7122d931730",
    "metadata": {},
    "source": [
-    "## 4. Lowflow calculation"
+    "### 3.1 Lowflow counter for the future "
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "4092c20d-19a6-4245-bfc9-a83ae151ba62",
+   "execution_count": 83,
+   "id": "2a55954f-3927-4a02-b641-f4ba5fc3725a",
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Create low flow counter function\n",
+    "def lowflow_counter_future(ensemble_data, start_date, end_date):\n",
     "\n",
-    "def lowflow_counter_ensemble(ensemble_data, start_date, end_date):\n",
-    "    \n",
     "    lowflow_days = []\n",
     "\n",
     "    years = list(range(start_date.year, end_date.year + 1))\n",
     "\n",
     "    for i in range(len(years)):\n",
-    "    \n",
+    "\n",
     "        year = years[i]\n",
-    "    \n",
-    "        # Define start and end month-day\n",
+    "\n",
     "        year_start = pd.to_datetime(f\"{year}-05-18\")\n",
     "        year_end = pd.to_datetime(f\"{year}-10-17\")\n",
-    "    \n",
+    "\n",
     "        year_data = ensemble_data[\n",
     "            (ensemble_data.index >= year_start) &\n",
     "            (ensemble_data.index <= year_end)\n",
     "        ]\n",
     "\n",
-    "        # Set zeros to count from\n",
-    "        observed_lowflow_days = 0\n",
     "        modelled_lowflow_days = []\n",
-    "        modelmean_lowflow_days = 0\n",
-    "\n",
-    "        # Count observed lowflow days\n",
-    "        for j in range(len(year_data)):\n",
-    "            observed_q = year_data.iloc[j][\"Observed discharge\"]\n",
     "\n",
-    "            if observed_q < q_critical:\n",
-    "                observed_lowflow_days += 1\n",
-    "\n",
-    "        # Count model mean lowflow days\n",
-    "        for j in range(len(year_data)):\n",
-    "            modelmean_q = year_data.iloc[j][\"Mean\"]\n",
-    "\n",
-    "            if modelmean_q < q_critical:\n",
-    "                modelmean_lowflow_days += 1\n",
-    "\n",
-    "        # Count modelled lowflow days\n",
+    "        # Count parameter set low-flow days\n",
     "        for j in range(len(par_ensemble)):\n",
+    "\n",
     "            set_lowflow_days = 0\n",
     "\n",
     "            for k in range(len(year_data)):\n",
+    "\n",
     "                set_q = year_data.iloc[k][f\"Set {j+1}\"]\n",
     "\n",
     "                if set_q < q_critical:\n",
@@ -406,11 +378,9 @@
     "            modelled_lowflow_days.append(set_lowflow_days)\n",
     "\n",
     "        setavg_lowflow_days = np.mean(modelled_lowflow_days)\n",
-    "        \n",
+    "\n",
     "        lowflow_days.append({\n",
     "            \"year\": year,\n",
-    "            \"observed\": observed_lowflow_days,\n",
-    "            \"modelmean\": modelmean_lowflow_days,\n",
     "            \"set_1\": modelled_lowflow_days[0],\n",
     "            \"set_2\": modelled_lowflow_days[1],\n",
     "            \"set_3\": modelled_lowflow_days[2],\n",
@@ -421,45 +391,1667 @@
     "\n",
     "    lowflow_days = pd.DataFrame(lowflow_days)\n",
     "\n",
-    "    days_sum = lowflow_days[[\"observed\", \"modelmean\", \"set_1\", \"set_2\", \"set_3\", \"set_4\", \"set_5\", \"set_avg\"]].sum()\n",
+    "    return lowflow_days"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "960d2207-e472-44be-aa22-d6bcd155aff3",
+   "metadata": {},
+   "source": [
+    "### 3.2 Lowflow counter for observed data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 101,
+   "id": "61884551-cc91-4478-bb2d-73eba100630b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def observed_lowflow_days(start_year=2000, end_year=2025):\n",
+    "\n",
+    "    observed_lowflows = []\n",
     "\n",
-    "    print(days_sum)\n",
+    "    q_obs = pd.read_csv(discharge_file, skiprows=1)\n",
+    "    q_obs = q_obs[[\"Date\", \"Value\"]].copy()\n",
+    "    q_obs[\"Date\"] = pd.to_datetime(q_obs[\"Date\"])\n",
+    "    q_obs = q_obs.rename(columns={\"Value\": \"discharge_m3s\"})\n",
     "\n",
-    "    return lowflow_days"
+    "    for year in range(start_year, end_year + 1):\n",
+    "\n",
+    "        season_start = pd.to_datetime(f\"{year}-05-18\")\n",
+    "        season_end = pd.to_datetime(f\"{year}-10-17\")\n",
+    "\n",
+    "        year_data = q_obs[\n",
+    "            (q_obs[\"Date\"] >= season_start) &\n",
+    "            (q_obs[\"Date\"] <= season_end)\n",
+    "        ]\n",
+    "\n",
+    "        lowflow_days = (year_data[\"discharge_m3s\"] < q_critical).sum()\n",
+    "\n",
+    "        observed_lowflows.append({\n",
+    "            \"year\": year,\n",
+    "            \"observed_lowflow_days\": lowflow_days\n",
+    "        })\n",
+    "\n",
+    "    observed_lowflows = pd.DataFrame(observed_lowflows)\n",
+    "\n",
+    "    observed_average = round(observed_lowflows[\"observed_lowflow_days\"].mean())\n",
+    "    observed_total = observed_lowflows[\"observed_lowflow_days\"].sum()\n",
+    "\n",
+    "    print(\"Observed average low-flow days/year:\", observed_average)\n",
+    "    print(\"Observed total low-flow days:\", observed_total)\n",
+    "\n",
+    "    return observed_lowflows, observed_average"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
-   "id": "4f2191db-b514-4312-bd9a-7301f1f95381",
+   "execution_count": 102,
+   "id": "18c80e0a-3c39-4ec4-91b7-49a5190ee3fd",
    "metadata": {},
    "outputs": [
     {
-     "ename": "NameError",
-     "evalue": "name 'lowflow_counter_ensemble' is not defined",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[7], line 3\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;66;03m# Run function\u001b[39;00m\n\u001b[0;32m----> 3\u001b[0m lowflow_CMIP \u001b[38;5;241m=\u001b[39m \u001b[43mlowflow_counter_ensemble\u001b[49m(\n\u001b[1;32m      4\u001b[0m     ensemble_data\u001b[38;5;241m=\u001b[39mensemble_data_CMIP,\n\u001b[1;32m      5\u001b[0m     start_date\u001b[38;5;241m=\u001b[39mevaluation_start,\n\u001b[1;32m      6\u001b[0m     end_date\u001b[38;5;241m=\u001b[39mvalidation_end_date\n\u001b[1;32m      7\u001b[0m )\n",
-      "\u001b[0;31mNameError\u001b[0m: name 'lowflow_counter_ensemble' is not defined"
-     ]
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Observed average low-flow days/year: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">27</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Observed average low-flow days/year: \u001b[1;36m27\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Observed total low-flow days: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">703</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Observed total low-flow days: \u001b[1;36m703\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
-    "# Run function\n",
-    "\n",
-    "lowflow_CMIP = lowflow_counter_ensemble(\n",
-    "    ensemble_data=ensemble_data_CMIP,\n",
-    "    start_date=evaluation_start,\n",
-    "    end_date=validation_end_date\n",
+    "observed_lowflows, observed_avg = observed_lowflow_days(\n",
+    "    start_year=2000,\n",
+    "    end_year=2025\n",
     ")"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "4f8cf70f-9c28-43fe-881e-afbb8fb5cc14",
+   "metadata": {},
+   "source": [
+    "## 4. Running model\n",
+    "\n",
+    "The previous functions in 2. and 3. will be used to run the model for every possible scenario and calculate the lowflows. The following steps are taken:\n",
+    "\n",
+    "##### 4.1 Function for running one projection\n",
+    "##### 4.2 Running for every projection and store the data "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a55dc672-29f6-40bc-89ba-f384078aaf4a",
+   "metadata": {},
+   "source": [
+    "### 4.1 Function for running one projection"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "09a29265-5d22-4916-874e-270a2107fd53",
+   "execution_count": 86,
+   "id": "33bdfa38-cac6-4eda-8f0e-143e163eea2a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def run_one_projection(scenario, start_year, end_year):\n",
+    "\n",
+    "    print(f\"Running {scenario}, {start_year}-{end_year}\")\n",
+    "\n",
+    "    forcing_path = forcing_path_cmip(\n",
+    "        scenario=scenario,\n",
+    "        start_year=start_year,\n",
+    "        end_year=end_year\n",
+    "    )\n",
+    "\n",
+    "    CMIP_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(\n",
+    "        directory=forcing_path\n",
+    "    )\n",
+    "\n",
+    "    ensemble_data = run_hbv_ensemble(\n",
+    "        par_ensemble=par_ensemble,\n",
+    "        initial_storages=s_0,\n",
+    "        forcing=CMIP_forcing\n",
+    "    )\n",
+    "\n",
+    "    lowflow_table = lowflow_counter_future(\n",
+    "        ensemble_data=ensemble_data,\n",
+    "        start_date=pd.to_datetime(f\"{start_year}-01-01\"),\n",
+    "        end_date=pd.to_datetime(f\"{end_year}-12-31\")\n",
+    "    )\n",
+    "\n",
+    "    return ensemble_data, lowflow_table"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d308b04e-e38b-4c76-af6f-4483d9920bdc",
+   "metadata": {},
+   "source": [
+    "### 4.2 Running for every projection and store the data "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 87,
+   "id": "a0bb6899-63e2-41b2-b83e-33a89203d9e1",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running ssp126, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2025</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2050</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running ssp126, \u001b[1;36m2025\u001b[0m-\u001b[1;36m2050\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m1\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m2\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m3\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m4\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m5\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running ssp126, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2050</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2075</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running ssp126, \u001b[1;36m2050\u001b[0m-\u001b[1;36m2075\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m1\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m2\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m3\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m4\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m5\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running ssp126, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2075</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2099</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running ssp126, \u001b[1;36m2075\u001b[0m-\u001b[1;36m2099\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m1\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m2\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m3\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m4\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m5\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running ssp245, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2025</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2050</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running ssp245, \u001b[1;36m2025\u001b[0m-\u001b[1;36m2050\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m1\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m2\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m3\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m4\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m5\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running ssp245, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2050</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2075</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running ssp245, \u001b[1;36m2050\u001b[0m-\u001b[1;36m2075\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m1\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m2\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m3\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m4\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m5\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running ssp245, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2075</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2099</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running ssp245, \u001b[1;36m2075\u001b[0m-\u001b[1;36m2099\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m1\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m2\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m3\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m4\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m5\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running ssp370, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2025</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2050</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running ssp370, \u001b[1;36m2025\u001b[0m-\u001b[1;36m2050\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m1\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m2\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m3\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m4\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m5\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running ssp370, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2050</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2075</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running ssp370, \u001b[1;36m2050\u001b[0m-\u001b[1;36m2075\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m1\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m2\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m3\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m4\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m5\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running ssp370, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2075</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2099</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running ssp370, \u001b[1;36m2075\u001b[0m-\u001b[1;36m2099\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m1\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m2\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m3\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m4\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m5\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "projection_data = {}\n",
+    "\n",
+    "for scenario in scenarios:\n",
+    "\n",
+    "    for i in range(len(periods[0])):\n",
+    "\n",
+    "        start_year = periods[0][i]\n",
+    "        end_year = periods[1][i]\n",
+    "\n",
+    "        key = f\"{scenario}_{start_year}_{end_year}\"\n",
+    "\n",
+    "        ensemble_data, lowflow_table = run_one_projection(\n",
+    "            scenario=scenario,\n",
+    "            start_year=start_year,\n",
+    "            end_year=end_year\n",
+    "        )\n",
+    "\n",
+    "        projection_data[key] = {\n",
+    "            \"ensemble\": ensemble_data,\n",
+    "            \"lowflow\": lowflow_table\n",
+    "        }"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "22e82719-70f4-45e6-a7eb-27f6e506553b",
+   "metadata": {},
+   "source": [
+    "## 5. Lowflow data visualisation\n",
+    "\n",
+    "All the results have been ran and calculated in previous chapters. Here results are presented. First a table will be created showing lowflow days for 25 year periods from 2000-2100 under various climate scenarios. Second, a CDF distribution will be shown:\n",
+    "\n",
+    "##### 5.1 Lowflow table\n",
+    "##### 5.2 CDF\n",
+    "##### 5.3 Quantiles"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "71e398fe-05c1-4e64-a561-e0012210d52c",
+   "metadata": {},
+   "source": [
+    "### 5.1 Lowflow table"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 96,
+   "id": "f13aa66c-90fc-4de7-b2ca-42c2da16cd04",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def create_lowflow_summary_table(projection_data, scenarios, periods):\n",
+    "\n",
+    "    rows = []\n",
+    "\n",
+    "    for scenario in scenarios:\n",
+    "\n",
+    "        row = {\"scenario\": scenario}\n",
+    "\n",
+    "        row[\"Observed 2000-2025\"] = round(observed_avg)\n",
+    "\n",
+    "        for i in range(len(periods[0])):\n",
+    "\n",
+    "            start_year = periods[0][i]\n",
+    "            end_year = periods[1][i]\n",
+    "\n",
+    "            key = f\"{scenario}_{start_year}_{end_year}\"\n",
+    "            period_name = f\"{start_year}-{end_year}\"\n",
+    "\n",
+    "            lowflow_table = projection_data[key][\"lowflow\"]\n",
+    "\n",
+    "            row[period_name] = round(lowflow_table[\"set_avg\"].mean())\n",
+    "\n",
+    "        rows.append(row)\n",
+    "\n",
+    "    return pd.DataFrame(rows)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 97,
+   "id": "6c40d31a-ab6c-44b7-94f1-e7d538328252",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>scenario</th>\n",
+       "      <th>Observed 2000-2025</th>\n",
+       "      <th>2025-2050</th>\n",
+       "      <th>2050-2075</th>\n",
+       "      <th>2075-2099</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>ssp126</td>\n",
+       "      <td>27</td>\n",
+       "      <td>36</td>\n",
+       "      <td>38</td>\n",
+       "      <td>35</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>ssp245</td>\n",
+       "      <td>27</td>\n",
+       "      <td>40</td>\n",
+       "      <td>38</td>\n",
+       "      <td>31</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>ssp370</td>\n",
+       "      <td>27</td>\n",
+       "      <td>34</td>\n",
+       "      <td>45</td>\n",
+       "      <td>49</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  scenario  Observed 2000-2025  2025-2050  2050-2075  2075-2099\n",
+       "0   ssp126                  27         36         38         35\n",
+       "1   ssp245                  27         40         38         31\n",
+       "2   ssp370                  27         34         45         49"
+      ]
+     },
+     "execution_count": 97,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "summary_table = create_lowflow_summary_table(\n",
+    "    projection_data=projection_data,\n",
+    "    scenarios=scenarios,\n",
+    "    periods=periods\n",
+    ")\n",
+    "\n",
+    "summary_table"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "110cc380-2552-4be7-9846-5cc8b21d1b9d",
+   "metadata": {},
+   "source": [
+    "### 5.2 CDF "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 90,
+   "id": "650bfda7-f4cd-468f-a620-11ac6d0a415d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# def plot_lowflow_cdf_by_scenario(lowflow_results, scenarios, periods):\n",
+    "\n",
+    "#     plt.figure(figsize=(8, 5))\n",
+    "\n",
+    "#     for scenario in scenarios:\n",
+    "\n",
+    "#         all_lowflows = []\n",
+    "\n",
+    "#         for i in range(len(periods[0])):\n",
+    "\n",
+    "#             start_year = periods[0][i]\n",
+    "#             end_year = periods[1][i]\n",
+    "\n",
+    "#             key = f\"{scenario}_{start_year}_{end_year}\"\n",
+    "\n",
+    "#             lowflow_table = lowflow_results[key]\n",
+    "\n",
+    "#             all_lowflows.extend(lowflow_table[\"set_avg\"].values)\n",
+    "\n",
+    "#         values = np.sort(all_lowflows)\n",
+    "#         cdf = np.arange(1, len(values) + 1) / len(values)\n",
+    "\n",
+    "#         plt.plot(\n",
+    "#             values,\n",
+    "#             cdf,\n",
+    "#             marker=\"o\",\n",
+    "#             label=scenario\n",
+    "#         )\n",
+    "\n",
+    "#     plt.xlabel(\"Annual low-flow days\")\n",
+    "#     plt.ylabel(\"Cumulative probability\")\n",
+    "#     plt.title(\"CDF of annual low-flow days by SSP scenario\")\n",
+    "#     plt.grid(True)\n",
+    "#     plt.legend()\n",
+    "#     plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 110,
+   "id": "88c401d0-39ee-48d8-b048-c0f3d09f3efa",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def plot_cdf(projection_data, scenarios, periods):\n",
+    "\n",
+    "    plt.figure(figsize=(8, 5))\n",
+    "\n",
+    "    # Observed CDF\n",
+    "    observed_values = np.sort(observed_lowflows[\"observed_lowflow_days\"].values)\n",
+    "    observed_cdf = np.arange(1, len(observed_values) + 1) / len(observed_values)\n",
+    "\n",
+    "    plt.plot(\n",
+    "        observed_values,\n",
+    "        observed_cdf,\n",
+    "        marker=\"o\",\n",
+    "        label=\"Observed 2000-2025\"\n",
+    "    )\n",
+    "\n",
+    "    # Scenario CDFs\n",
+    "    for scenario in scenarios:\n",
+    "\n",
+    "        all_lowflows = []\n",
+    "\n",
+    "        for i in range(len(periods[0])):\n",
+    "\n",
+    "            start_year = periods[0][i]\n",
+    "            end_year = periods[1][i]\n",
+    "\n",
+    "            key = f\"{scenario}_{start_year}_{end_year}\"\n",
+    "\n",
+    "            lowflow_table = projection_data[key][\"lowflow\"]\n",
+    "\n",
+    "            all_lowflows.extend(lowflow_table[\"set_avg\"].values)\n",
+    "\n",
+    "        values = np.sort(all_lowflows)\n",
+    "        cdf = np.arange(1, len(values) + 1) / len(values)\n",
+    "\n",
+    "        plt.plot(\n",
+    "            values,\n",
+    "            cdf,\n",
+    "            marker=\"o\",\n",
+    "            label=scenario\n",
+    "        )\n",
+    "\n",
+    "    plt.xlabel(\"Annual low-flow days\")\n",
+    "    plt.ylabel(\"Cumulative probability\")\n",
+    "    plt.title(\"CDF of annual low-flow days\")\n",
+    "    plt.grid(True)\n",
+    "    plt.legend()\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 111,
+   "id": "4092c20d-19a6-4245-bfc9-a83ae151ba62",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 800x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_cdf(\n",
+    "    projection_data=projection_data,\n",
+    "    scenarios=scenarios,\n",
+    "    periods=periods,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8aee0214-a4cd-42fd-99fa-d892c7b859b8",
+   "metadata": {},
+   "source": [
+    "### 5.3 Quantiles"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ad7d2cbb-351d-4481-bb8b-4fde80893fe7",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "09a29265-5d22-4916-874e-270a2107fd53",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3a2fb953-a9b6-4687-9837-c5d81dacaf5c",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "46cd2108-358e-454e-b181-9cc133c05e24",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0b8c0de8-91bf-4b76-9c46-4eb15bbe4d02",
+   "metadata": {},
+   "source": [
+    "# 5. Compare forcing inputs "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0a36ac91-fd42-425e-b04b-192a07e46ac4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def find_file_for_var(folder, var_name):\n",
+    "\n",
+    "    folder = Path(folder)\n",
+    "\n",
+    "    # First try exact final variable pattern, then broader search\n",
+    "    matches = list(folder.glob(f\"*_{var_name}.nc\"))\n",
+    "\n",
+    "    if len(matches) == 0:\n",
+    "        matches = list(folder.glob(f\"*{var_name}*.nc\"))\n",
+    "\n",
+    "    if len(matches) == 0:\n",
+    "        raise FileNotFoundError(f\"No NetCDF file found for {var_name} in {folder}\")\n",
+    "\n",
+    "    if len(matches) > 1:\n",
+    "        print(f\"Multiple files found for {var_name}, using first:\")\n",
+    "        for match in matches:\n",
+    "            print(\" -\", match.name)\n",
+    "\n",
+    "    return matches[0]\n",
+    "\n",
+    "\n",
+    "\n",
+    "def get_dataarray(dataset, preferred_name):\n",
+    "\n",
+    "    if preferred_name in dataset.data_vars:\n",
+    "        return dataset[preferred_name]\n",
+    "\n",
+    "    first_var = list(dataset.data_vars)[0]\n",
+    "    print(f\"Variable {preferred_name} not found, using {first_var} instead.\")\n",
+    "    return dataset[first_var]\n",
+    "\n",
+    "\n",
+    "def load_variable(folder, var_name):\n",
+    "\n",
+    "    file_path = find_file_for_var(folder, var_name)\n",
+    "\n",
+    "    ds = xr.open_dataset(file_path)\n",
+    "    da = get_dataarray(ds, var_name).squeeze()\n",
+    "    \n",
+    "        # Normalize daily time coordinate: removes 11:30 / 12:00 differences\n",
+    "    da = da.assign_coords(time=pd.to_datetime(da.time.values).normalize())\n",
+    "\n",
+    "    if \"time\" not in da.dims:\n",
+    "        raise ValueError(f\"{file_path} does not contain a time dimension.\")\n",
+    "\n",
+    "    return da, ds, file_path\n",
+    "\n",
+    "def to_series(da):\n",
+    "    return pd.Series(\n",
+    "        data=da.values.squeeze(),\n",
+    "        index=pd.to_datetime(da[\"time\"].values),\n",
+    "        name=da.name,\n",
+    "    )\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0a861497-e078-4210-9ddf-7ce1f0a2e9ff",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def forcing_summary_period(scenario, start_year, end_year):\n",
+    "\n",
+    "    forcing_path = forcing_path_cmip(scenario, start_year, end_year)\n",
+    "\n",
+    "    variables = [\"pr\", \"tas\", \"rsds\", \"evspsblpot\"]\n",
+    "    rows = []\n",
+    "\n",
+    "    for var_name in variables:\n",
+    "\n",
+    "        da, _, _ = load_variable(forcing_path, var_name)\n",
+    "        s = to_series(da)\n",
+    "\n",
+    "        if var_name in [\"pr\", \"evspsblpot\"]:\n",
+    "            s = s * 86400\n",
+    "            value = s.sum() / (end_year - start_year + 1)\n",
+    "            stat = \"mean annual sum mm/year\"\n",
+    "\n",
+    "        elif var_name == \"tas\":\n",
+    "            s = s - 273.15\n",
+    "            value = s.mean()\n",
+    "            stat = \"mean °C\"\n",
+    "\n",
+    "        elif var_name == \"rsds\":\n",
+    "            value = s.mean()\n",
+    "            stat = \"mean W/m²\"\n",
+    "\n",
+    "        rows.append({\n",
+    "            \"scenario\": scenario,\n",
+    "            \"period\": f\"{start_year}-{end_year}\",\n",
+    "            \"variable\": var_name,\n",
+    "            \"statistic\": stat,\n",
+    "            \"value\": value\n",
+    "        })\n",
+    "\n",
+    "    return pd.DataFrame(rows)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8208fd49-1176-40c2-be6c-001641915e2b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "forcing_summaries = []\n",
+    "\n",
+    "for scenario in scenarios:\n",
+    "\n",
+    "    for i in range(len(periods[0])):\n",
+    "\n",
+    "        start_year = periods[0][i]\n",
+    "        end_year = periods[1][i]\n",
+    "\n",
+    "        forcing_summaries.append(\n",
+    "            forcing_summary_period(scenario, start_year, end_year)\n",
+    "        )\n",
+    "\n",
+    "forcing_summary_table = pd.concat(forcing_summaries, ignore_index=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a9c618ee-2c83-4f62-9e61-ea8d32548575",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "forcing_summary_pivot = forcing_summary_table.pivot_table(\n",
+    "    index=[\"scenario\", \"period\"],\n",
+    "    columns=\"variable\",\n",
+    "    values=\"value\"\n",
+    ")\n",
+    "\n",
+    "forcing_summary_pivot"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "02b23661-c0e4-4164-ae35-a1ea2a9b5fc0",
+   "metadata": {},
+   "source": [
+    "# 6. CDF"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "217c70e9-9ad1-4e69-b79e-591a73e9c39d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def plot_lowflow_cdf_by_scenario(lowflow_results, scenarios, periods):\n",
+    "\n",
+    "    plt.figure(figsize=(8, 5))\n",
+    "\n",
+    "    for scenario in scenarios:\n",
+    "\n",
+    "        all_lowflows = []\n",
+    "\n",
+    "        for i in range(len(periods[0])):\n",
+    "\n",
+    "            start_year = periods[0][i]\n",
+    "            end_year = periods[1][i]\n",
+    "\n",
+    "            key = f\"{scenario}_{start_year}_{end_year}\"\n",
+    "\n",
+    "            lowflow_table = lowflow_results[key]\n",
+    "\n",
+    "            all_lowflows.extend(lowflow_table[\"set_avg\"].values)\n",
+    "\n",
+    "        values = np.sort(all_lowflows)\n",
+    "        cdf = np.arange(1, len(values) + 1) / len(values)\n",
+    "\n",
+    "        plt.plot(\n",
+    "            values,\n",
+    "            cdf,\n",
+    "            marker=\"o\",\n",
+    "            label=scenario\n",
+    "        )\n",
+    "\n",
+    "    plt.xlabel(\"Annual low-flow days\")\n",
+    "    plt.ylabel(\"Cumulative probability\")\n",
+    "    plt.title(\"CDF of annual low-flow days by SSP scenario\")\n",
+    "    plt.grid(True)\n",
+    "    plt.legend()\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7e0a37ea-7b66-4c47-95cc-04031f7d31e3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "periods = [\n",
+    "    [2026, 2051, 2076],\n",
+    "    [2050, 2075, 2099]\n",
+    "]\n",
+    "\n",
+    "plot_lowflow_cdf_by_scenario(\n",
+    "    lowflow_results=lowflow_results,\n",
+    "    scenarios=scenarios,\n",
+    "    periods=periods\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1811777a-21a1-4402-8653-0655ccfc2471",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def lowflow_quantile_table(lowflow_results, scenarios, periods):\n",
+    "\n",
+    "    rows = []\n",
+    "\n",
+    "    for scenario in scenarios:\n",
+    "\n",
+    "        all_lowflows = []\n",
+    "\n",
+    "        for i in range(len(periods[0])):\n",
+    "\n",
+    "            start_year = periods[0][i]\n",
+    "            end_year = periods[1][i]\n",
+    "\n",
+    "            key = f\"{scenario}_{start_year}_{end_year}\"\n",
+    "            lowflow_table = lowflow_results[key]\n",
+    "\n",
+    "            all_lowflows.extend(lowflow_table[\"set_avg\"].values)\n",
+    "\n",
+    "        values = pd.Series(all_lowflows)\n",
+    "\n",
+    "        rows.append({\n",
+    "            \"scenario\": scenario,\n",
+    "            \"mean\": values.mean(),\n",
+    "            \"median\": values.median(),\n",
+    "            \"p75\": values.quantile(0.75),\n",
+    "            \"p90\": values.quantile(0.90),\n",
+    "            \"max\": values.max()\n",
+    "        })\n",
+    "\n",
+    "    return pd.DataFrame(rows)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "78a5f041-b42f-43d8-8d6c-df3da81bfdf6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "lowflow_quantile_table(lowflow_results, scenarios, periods)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "dd303444-4ba1-4cd2-9b97-2bcdd10422ac",
+   "metadata": {},
+   "source": [
+    "# 7. Algorithm"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "eca09435-7a70-465c-bd87-fee3a7a04c9e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "selected_scenario = \"ssp370\"\n",
+    "start_year = 2075\n",
+    "end_year = 2099\n",
+    "AFDD_critical = 30"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ad43ef41-fe5a-4dcf-93e8-41e7c183ae9b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "forcing_path_CMIP = forcing_path_cmip(\n",
+    "    scenario=selected_scenario,\n",
+    "    start_year=start_year,\n",
+    "    end_year=end_year\n",
+    ")\n",
+    "\n",
+    "CMIP_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(\n",
+    "    directory=forcing_path_CMIP\n",
+    ")\n",
+    "\n",
+    "ensemble_data_CMIP = run_hbv_ensemble(\n",
+    "    par_ensemble=par_ensemble,\n",
+    "    initial_storages=s_0,\n",
+    "    forcing=CMIP_forcing\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2a89d8a5-dc40-4ebf-8247-3678edf56d52",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def find_freshet_start_dates(ensemble_data, start_year, end_year):\n",
+    "\n",
+    "    freshet_dates = []\n",
+    "\n",
+    "    for year in range(start_year, end_year + 1):\n",
+    "\n",
+    "        year_start = pd.to_datetime(f\"{year}-03-01\")\n",
+    "        year_end = pd.to_datetime(f\"{year}-08-01\")\n",
+    "\n",
+    "        season_data = ensemble_data[\n",
+    "            (ensemble_data.index >= year_start) &\n",
+    "            (ensemble_data.index <= year_end)\n",
+    "        ]\n",
+    "\n",
+    "        above_critical = season_data[season_data[\"Mean\"] > q_critical]\n",
+    "\n",
+    "        if len(above_critical) > 0:\n",
+    "            freshet_date = above_critical.index[0]\n",
+    "            discharge = above_critical.iloc[0][\"Mean\"]\n",
+    "        else:\n",
+    "            freshet_date = pd.NaT\n",
+    "            discharge = np.nan\n",
+    "\n",
+    "        freshet_dates.append({\n",
+    "            \"year\": year,\n",
+    "            \"freshet_start\": freshet_date,\n",
+    "            \"freshet_discharge\": discharge\n",
+    "        })\n",
+    "\n",
+    "    return pd.DataFrame(freshet_dates)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0ada13c2-53db-4c9d-b8a7-94c3a05a35be",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def find_freezeup_dates(forcing_path, start_year, end_year, AFDD_critical=30):\n",
+    "\n",
+    "    tas_da, _, _ = load_variable(forcing_path, \"tas\")\n",
+    "\n",
+    "    tas = to_series(tas_da)\n",
+    "\n",
+    "    if tas.mean() > 100:\n",
+    "        tas = tas - 273.15\n",
+    "\n",
+    "    freezeup_dates = []\n",
+    "\n",
+    "    for year in range(start_year, end_year + 1):\n",
+    "\n",
+    "        year_start = pd.to_datetime(f\"{year}-10-01\")\n",
+    "        year_end = pd.to_datetime(f\"{year}-12-31\")\n",
+    "\n",
+    "        year_tas = tas[\n",
+    "            (tas.index >= year_start) &\n",
+    "            (tas.index <= year_end)\n",
+    "        ]\n",
+    "\n",
+    "        AFDD = 0\n",
+    "        freezeup_date = pd.NaT\n",
+    "        freezeup_temp = np.nan\n",
+    "\n",
+    "        for date, temp in year_tas.items():\n",
+    "\n",
+    "            if temp < 0:\n",
+    "                AFDD += -temp\n",
+    "\n",
+    "            if AFDD >= AFDD_critical:\n",
+    "                freezeup_date = date\n",
+    "                freezeup_temp = temp\n",
+    "                break\n",
+    "\n",
+    "        freezeup_dates.append({\n",
+    "            \"year\": year,\n",
+    "            \"freezeup_date\": freezeup_date,\n",
+    "            \"AFDD\": AFDD,\n",
+    "            \"temp_at_freezeup\": freezeup_temp\n",
+    "        })\n",
+    "\n",
+    "    return pd.DataFrame(freezeup_dates)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "752ea8b9-c790-43a4-88e3-39a955e2a503",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "freshet_dates = find_freshet_start_dates(\n",
+    "    ensemble_data=ensemble_data_CMIP,\n",
+    "    start_year=start_year,\n",
+    "    end_year=end_year\n",
+    ")\n",
+    "\n",
+    "freezeup_dates = find_freezeup_dates(\n",
+    "    forcing_path=forcing_path_CMIP,\n",
+    "    start_year=start_year,\n",
+    "    end_year=end_year,\n",
+    "    AFDD_critical=AFDD_critical\n",
+    ")\n",
+    "\n",
+    "open_water_dates = freshet_dates.merge(\n",
+    "    freezeup_dates,\n",
+    "    on=\"year\",\n",
+    "    how=\"inner\"\n",
+    ")\n",
+    "\n",
+    "open_water_dates[\"open_water_days\"] = (\n",
+    "    open_water_dates[\"freezeup_date\"] - open_water_dates[\"freshet_start\"]\n",
+    ").dt.days\n",
+    "\n",
+    "open_water_dates"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "427391b5-c9bb-4e73-8ecc-b2c8fb60b4a9",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4fcf6ad4-1157-4fbe-b859-fc6dbd2ba79a",
    "metadata": {},
    "outputs": [],
    "source": []

From c0fc4ed656437105ec1e542376b4fd14b9396930 Mon Sep 17 00:00:00 2001
From: Maxime <mxdebekker@gmail.com>
Date: Tue, 9 Jun 2026 14:31:28 +0200
Subject: [PATCH 16/24] Step6_CMIP_History

---
 .../Workyard/Step6_CMIP_History.ipynb         | 2356 +++++++++++++----
 1 file changed, 1836 insertions(+), 520 deletions(-)

diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step6_CMIP_History.ipynb b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step6_CMIP_History.ipynb
index 1a6d2f60..a7ee5b2d 100644
--- a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step6_CMIP_History.ipynb
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step6_CMIP_History.ipynb
@@ -30,7 +30,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 120,
+   "execution_count": 2,
    "id": "d197b8f0-0f85-4a41-b2fb-1b2a8cf3f9f5",
    "metadata": {},
    "outputs": [],
@@ -52,7 +52,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 148,
+   "execution_count": 3,
    "id": "dd7b7d3f-1489-4723-bb51-f3cffcb7a85c",
    "metadata": {},
    "outputs": [],
@@ -65,7 +65,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 122,
+   "execution_count": 4,
    "id": "1c8aee93-b2d6-4291-89ae-1d29e69268cd",
    "metadata": {},
    "outputs": [],
@@ -78,7 +78,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 123,
+   "execution_count": 5,
    "id": "d7dce039-d1f3-44a0-b646-98c32ecffb28",
    "metadata": {},
    "outputs": [],
@@ -88,76 +88,151 @@
     "# experiment_start_date = \"2019-01-01T00:00:00Z\"\n",
     "# experiment_end_date = \"2024-12-31T00:00:00Z\"\n",
     "\n",
-    "start_year = 2025\n",
-    "end_year = 2050\n",
+    "start_year = 1995\n",
+    "end_year = 2014\n",
     "\n",
     "validation_start = f\"{start_year}-01-01T00:00:00Z\"\n",
     "validation_end = f\"{end_year}-12-31T00:00:00Z\"\n",
     "\n",
     "# Choose CMIP Scenario: \n",
-    "Scenario = \"ssp126\"    # Options: historical, ssp119, ssp126, ssp245, ssp,370, ssp585"
+    "Scenario = \"historical\"    # Options: historical, ssp119, ssp126, ssp245, ssp,370, ssp585"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 124,
+   "execution_count": 6,
    "id": "d330bf37-7419-4287-81af-3d09e4c7a30e",
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Create pathways for ERA 5 forcings\n",
+    "# # Create pathways for ERA 5 forcings\n",
     "\n",
-    "forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / f\"ERA5-{start_year}-{end_year}\"\n",
+    "# forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / f\"ERA5-{start_year}-{end_year}\"\n",
     "\n",
-    "forcing_path_CMIP = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / Scenario / f\"CMIP6-{start_year}-{end_year}\"\n",
+    "# forcing_path_CMIP = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / Scenario / f\"CMIP6-{start_year}-{end_year}\"\n",
     "\n",
-    "forcing_path_QDM = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / Scenario / f\"CMIP6-QDM-{start_year}-{end_year}\"\n",
+    "# forcing_path_QDM = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / Scenario / f\"CMIP6-QDM-{start_year}-{end_year}\"\n",
     "\n",
-    "discharge_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
+    "# discharge_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
     "\n",
-    "shape_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "# shape_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
     "\n",
-    "hbv_config = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"hbv_config\"\n",
-    "hbv_config.mkdir(parents=True, exist_ok=True)"
+    "# hbv_config = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"hbv_config\"\n",
+    "# hbv_config.mkdir(parents=True, exist_ok=True)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 125,
+   "execution_count": 7,
    "id": "15ea4507-f559-4ef8-9756-60b8502064d7",
    "metadata": {},
    "outputs": [],
    "source": [
-    "# # Create pathways for ERA 5 forcings\n",
+    "# # Create pathways for forcings\n",
     "\n",
-    "# forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"forcings\" / \"ERA5-1999-2019\"\n",
+    "forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"forcings\" / \"ERA5\" / \"ERA5-1999-2019\"\n",
     "\n",
-    "# discharge_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
+    "forcing_path_CMIP = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / Scenario / f\"CMIP6-{start_year}-{end_year}\"\n",
     "\n",
-    "# shape_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "forcing_path_QDM = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / Scenario / f\"CMIP6-QDM-{start_year}-{end_year}\"\n",
     "\n",
-    "# hbv_config = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"hbv_config\"\n",
-    "# hbv_config.mkdir(parents=True, exist_ok=True)"
+    "discharge_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
+    "\n",
+    "shape_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "\n",
+    "hbv_config = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"hbv_config\"\n",
+    "hbv_config.mkdir(parents=True, exist_ok=True)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 126,
+   "execution_count": 124,
    "id": "46ea8b1e-fb73-49ed-855c-4d95cd932748",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Date</th>\n",
+       "      <th>discharge_m3s</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1957-10-01</td>\n",
+       "      <td>467.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1957-10-02</td>\n",
+       "      <td>467.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1957-10-03</td>\n",
+       "      <td>467.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1957-10-04</td>\n",
+       "      <td>476.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1957-10-05</td>\n",
+       "      <td>487.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        Date  discharge_m3s\n",
+       "0 1957-10-01          467.0\n",
+       "1 1957-10-02          467.0\n",
+       "2 1957-10-03          467.0\n",
+       "3 1957-10-04          476.0\n",
+       "4 1957-10-05          487.0"
+      ]
+     },
+     "execution_count": 124,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# Load CSV discharge 07DA001\n",
     "\n",
     "q_obs = pd.read_csv(discharge_file, skiprows=1)\n",
     "q_obs = q_obs[[\"Date\", \"Value\"]].copy()\n",
     "q_obs[\"Date\"] = pd.to_datetime(q_obs[\"Date\"])\n",
-    "q_obs = q_obs.rename(columns={\"Value\": \"discharge_m3s\"})"
+    "q_obs = q_obs.rename(columns={\"Value\": \"discharge_m3s\"})\n",
+    "\n",
+    "q_obs.head()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 127,
+   "execution_count": 125,
    "id": "8bb224ad-d23c-475f-b6af-4a6023a17044",
    "metadata": {},
    "outputs": [],
@@ -176,7 +251,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 128,
+   "execution_count": 126,
    "id": "fc27f6f8-e7ff-4be6-b073-05006d25426a",
    "metadata": {},
    "outputs": [
@@ -184,15 +259,15 @@
      "data": {
       "text/plain": [
        "Date\n",
-       "2025-01-01    189.0\n",
-       "2025-01-02    191.0\n",
-       "2025-01-03    196.0\n",
-       "2025-01-04    201.0\n",
-       "2025-01-05    203.0\n",
+       "1995-01-01    197.0\n",
+       "1995-01-02    196.0\n",
+       "1995-01-03    194.0\n",
+       "1995-01-04    191.0\n",
+       "1995-01-05    186.0\n",
        "Name: Observed discharge, dtype: float64"
       ]
      },
-     "execution_count": 128,
+     "execution_count": 126,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -203,13 +278,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 129,
+   "execution_count": 11,
    "id": "7f6f57aa-9f39-4524-ba3a-34f55035ebab",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA/YAAAHUCAYAAACQ47NAAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8fJSN1AAAACXBIWXMAAA9hAAAPYQGoP6dpAAD5nElEQVR4nOydd3wUZf7HP7vpCUkgAUIRARUQBARBESyAFBuicsopithQz8qJ59nFnwqeesodnp6nKCq207OdpygoYgGkKCqCINJ7DySQsrvz+yOZ2WdmZ7bPzDPh8369eJHMTrLfzM48z7d/fYqiKCCEEEIIIYQQQogn8bstACGEEEIIIYQQQpKHhj0hhBBCCCGEEOJhaNgTQgghhBBCCCEehoY9IYQQQgghhBDiYWjYE0IIIYQQQgghHoaGPSGEEEIIIYQQ4mFo2BNCCCGEEEIIIR6Ghj0hhBBCCCGEEOJhaNgTQgghhBBCCCEehoY9IYQcwsyfPx8XXnghWrZsiezsbLRo0QIXXHAB5s2bF3HuhAkT4PP5sHPnThckdZd27drh8ssvT+pn165dC5/Ph2nTpiX8s1988QV8Ph+++OIL7Zj6OdjNgAEDMGDAAO37VP6OWFx++eVo1KhR2n+vV5g4cSLee++9hH7mjTfeQI8ePZCbm4tWrVph3LhxqKio0J1z+eWXw+fzWf6bP3++du6AAQO0436/H4WFhTjqqKNw4YUX4u2330YoFLKU5aeffoLP50NWVha2bNlied53332HwYMHo1GjRmjcuDFGjBiB1atXm547ZcoUHH300cjJyUH79u3xwAMPoLa2VnfOxo0bMW7cOPTv3x+NGze27f4khBAvQMOeEEIOUaZMmYKTTjoJGzduxKOPPopZs2bh8ccfx6ZNm3DyySfjqaeeclvEQ57jjjsO8+bNw3HHHee2KGjZsiXmzZuHs88+221RGhyJGvavvvoqLr74Yhx//PH4+OOPcf/992PatGkYMWKE7rx7770X8+bNi/jXtGlTtG7dGscff7zu/COOOALz5s3D3Llz8d577+GOO+7AwYMHceGFF2LAgAEoLy83lef5558HAAQCAbz88sum5/zyyy8YMGAAampq8O9//xsvvPACVq5ciVNOOQU7duzQnfvwww/jlltuwYgRI/DJJ5/g+uuvx8SJE3HDDTfozlu1ahVeffVVZGdn46yzzor7+hFCSINEIYQQcsjx9ddfK36/Xxk2bJhSW1ure622tlYZNmyY4vf7la+//lo7fv/99ysAlB07djgtbgQHDhxw9P3atm2rjBkzJqmfXbNmjQJAefHFF9Mii/o52E3//v2V/v372/4+iqIoY8aMUQoKCmx/H6fvm3gpKCiI+/4KBAJKy5YtlaFDh+qOv/rqqwoA5aOPPor681988YUCQLnnnnt0x/v3768cc8wxpj/zwgsvKACUkSNHRrxWVVWllJaWKscee6zSunVrpWPHjqa/48ILL1SaNm2qlJeXa8fWrl2rZGVlKbfffrt2bOfOnUpubq5yzTXX6H7+4YcfVnw+n/Lzzz9rx4LBoPb1woUL0/qcEUKI12DEnhBCDkEmTZoEn8+HZ555BpmZmbrXMjMz8fTTT8Pn8+GRRx6J+NkNGzZgxIgRKCoqQnFxMS699NKIiNvnn3+OAQMGoLS0FHl5eTj88MPxu9/9DgcOHNDOqampwUMPPaSl2zZr1gxXXHFFxO9q164dhg0bhnfeeQc9e/ZEbm4uHnjgAfTs2ROnnHJKhHzBYBCtW7fWRS/jfa/a2lrcfvvtaNGiBfLz83HyySdjwYIFcV/XzZs3Y+TIkSgsLERxcTF+//vfY+vWrRHnLVq0CBdddBHatWuHvLw8tGvXDhdffDHWrVunO88sFd/IVVddhZKSEt21VTnttNNwzDHHRJVZURQ8+uijaNu2LXJzc3Hcccfh448/jjjPLBV/x44duOaaa9CmTRvtup500kmYNWuW7mdnzJiBQYMGobi4GPn5+ejcuTMmTZoU8R6rVq3CWWedhUaNGqFNmzYYP348qqurdec88MAD6NOnD0pKSlBUVITjjjsOU6dOhaIouvOs7hsA+PnnnzF06FDk5+ejWbNmuOGGG/C///3P9FrPmjULgwYNQlFREfLz83HSSSfhs88+i3pNAaCqqgrjx49Hjx49UFxcjJKSEvTt2xfvv/++7jyfz4fKykq89NJLWiq8WAJhZP78+diyZQuuuOIK3fELL7wQjRo1wrvvvhtVrqlTp8Ln8+HKK6+M+TeoXHHFFTjrrLPw1ltvRdyj7733Hnbt2oWrr74aY8aMwcqVK/H111/rzgkEAvjwww/xu9/9DkVFRdrxtm3bYuDAgTqZZ8yYgaqqqoi/74orroCiKLrMBr+faiwhhKhkxj6FEEJIQyIYDGL27Nno3bs3DjvsMNNz2rRpg169euHzzz9HMBhERkaG9tr555+PkSNH4rrrrsPPP/+Me++9F8uWLcO3336LrKwsrF27FmeffTZOOeUUvPDCC2jcuDE2bdqEGTNmoKamBvn5+QiFQjj33HPx1Vdf4fbbb0e/fv2wbt063H///RgwYAAWLVqEvLw87T2/++47LF++HPfccw/at2+PgoICtGrVCrfccgt+/fVXdOjQQTv3008/xebNmzXDIJH3Gjt2LF5++WXcdtttGDJkCJYuXYoRI0Zg//79Ma/rwYMHMXjwYGzevBmTJk1Cx44d8b///Q+///3vI85du3YtOnXqhIsuugglJSXYsmULnnnmGRx//PFYtmwZmjZtGt+HCeCWW27BCy+8gNdeew1XX321dnzZsmWYPXs2/vGPf0T9+QceeAAPPPAArrrqKlxwwQXYsGEDxo4di2AwiE6dOkX92dGjR+O7777Dww8/jI4dO2Lv3r347rvvsGvXLu2cqVOnYuzYsejfvz/++c9/onnz5li5ciWWLl2q+121tbUYPnw4rrrqKowfPx5ffvklHnzwQRQXF+O+++7TXbtrr70Whx9+OIA6Q/emm27Cpk2bdOcB5vfNli1b0L9/fxQUFOCZZ55B8+bN8frrr+PGG2+M+PumT5+Oyy67DOeeey5eeuklZGVl4dlnn8Xpp5+OTz75BIMGDbK8NtXV1di9ezduu+02tG7dGjU1NZg1axZGjBiBF198EZdddhkAYN68eTjttNMwcOBA3HvvvQCgM36NqNete/fuuuNZWVk4+uijI66rSHl5Od5++20MGjQI7du3tzzPjOHDh+Ojjz7CV199hbZt22rHp06dipycHFxyySXYvXs3Jk2ahKlTp+Lkk0/Wzvntt99w8ODBCJnVv2PmzJmoqqpCbm6uJn+3bt1057Vs2RJNmzaN+vcRQsghjcsZA4QQQhxm69atCgDloosuinre73//ewWAsm3bNkVRwingf/zjH3XnqSnA06dPVxRFUd5++20FgLJkyRLL3/36668rAJT//Oc/uuNqOu3TTz+tHWvbtq2SkZGhrFixQnfuzp07lezsbOWuu+7SHR85cqRSVlamlRjE+17Lly+P+vfFSpV+5plnFADK+++/rzs+duzYmCnCgUBAqaioUAoKCpS//e1v2vHZs2crAJTZs2drx8xS8fv376/06NFDd+wPf/iDUlRUpOzfv9/yfffs2aPk5uYq559/vu74N998owDQpeKblRQ0atRIGTdunOXv379/v1JUVKScfPLJSigUsjxvzJgxCgDl3//+t+74WWedpXTq1Mny54LBoFJbW6v83//9n1JaWqp7D6v75k9/+lNESreiKMrpp5+uu9aVlZVKSUmJcs4550S857HHHquccMIJlnKZEQgElNraWuWqq65SevbsqXstkVT8hx9+WAGgbNmyJeK1oUOHWqbCK0r4Hn399dcjXouWiq8oivLxxx8rAJS//OUv2rG1a9cqfr9ft5b0799fKSgoUPbt26cdU+8ns/edOHGiAkDZvHmzoih1z0tOTo6pDB07dowoQVBhKj4h5FCHOUyEEEJMUepTm40d2C+55BLd9yNHjkRmZiZmz54NAOjRoweys7NxzTXX4KWXXjLtev3hhx+icePGOOeccxAIBLR/PXr0QIsWLSLSobt3746OHTvqjpWWluKcc87BSy+9pHXs3rNnD95//31cdtllWolBvO+lym/198Vi9uzZKCwsxPDhw3XHR40aFXFuRUUF/vznP+Ooo45CZmYmMjMz0ahRI1RWVmL58uUx38vILbfcgiVLluCbb74BAOzbtw+vvPIKxowZE7Xb/Lx581BVVRXxN/fr108XlbXihBNOwLRp0/DQQw9h/vz5EV3L586di3379uH666+P2cnf5/PhnHPO0R3r3r17ROr3559/jsGDB6O4uBgZGRnIysrCfffdh127dmH79u0RP2+8b+bMmYOuXbuiS5cuuuMXX3xxhOy7d+/GmDFjdPdNKBTCGWecgYULF6KysjLq3/TWW2/hpJNOQqNGjZCZmYmsrCxMnTo1qc/YiNX1jHadp06ditLSUpx//vkJv59iKHUAgBdffBGhUEiX1n/llVeisrISb775ZkKyia/Fex4hhJAwNOwJIeQQo2nTpsjPz8eaNWuinrd27Vrk5+ejpKREd7xFixa67zMzM1FaWqqlXx955JGYNWsWmjdvjhtuuAFHHnkkjjzySPztb3/Tfmbbtm3Yu3cvsrOzkZWVpfu3devWiJF6LVu2NJXxyiuvxKZNmzBz5kwAwOuvv47q6mrdaLp430uV3+rvi8WuXbtQVlYWcdz4+4A6Y/+pp57C1VdfjU8++QQLFizAwoUL0axZMxw8eDDmexk599xz0a5dOy3tftq0aaisrIzoIm4ms5WMZseMvPnmmxgzZgyef/559O3bFyUlJbjsssu0vgJqDwOrkg+R/Px85Obm6o7l5OSgqqpK+37BggUYOnQoAOC5557DN998g4ULF+Luu+8GgIhrZ3bfWH1OxmPbtm0DAFxwwQUR981f/vIXKIqC3bt3W/4977zzDkaOHInWrVtj+vTpmDdvHhYuXIgrr7xS9zclinoviuUOKrt37454XlV+/PFHLFq0CJdeeilycnISfl/VwdKqVSsAdSUu06ZNQ6tWrdCrVy/s3bsXe/fuxeDBg1FQUICpU6fGLbPP50Pjxo21c6uqqkx7RkT7+wgh5FCHNfaEEHKIkZGRgYEDB2LGjBnYuHGjqdG1ceNGLF68GGeeeaauvh4Atm7ditatW2vfBwIB7Nq1S2f8nnLKKTjllFMQDAaxaNEiTJkyBePGjUNZWRkuuugiNG3aFKWlpZgxY4apjIWFhbrvraJ0p59+Olq1aoUXX3wRp59+Ol588UX06dNHF42N971U+a3+vliUlpaaNtozNs8rLy/Hhx9+iPvvvx933HGHdlytyU4Gv9+PG264AXfddRf++te/4umnn8agQYNi1siLf7OZ3O3atYv6802bNsXkyZMxefJkrF+/Hh988AHuuOMObN++HTNmzECzZs0A1N1P6eCNN95AVlYWPvzwQ50TwGpUnNl9U1paqhntIsZroPY5mDJlCk488UTT32/mIFCZPn062rdvjzfffFMnh7EZYKKotec//fST7j4PBAL45ZdfIjIPVFRDW+zDkAgffPABfD4fTj31VAB1TQVVY9/M8TV//nwsW7YMXbp0wZFHHom8vDz89NNPEef99NNPOOqoo7TPU/z7+vTpo52nOuG6du2alPyEENLQYcSeEEIOQe68804oioLrr78ewWBQ91owGMQf/vAHKIqCO++8M+JnX331Vd33//73vxEIBEw7eWdkZKBPnz5aJPm7774DAAwbNgy7du1CMBhE7969I/7FMkjF3z969Gi89957+Oqrr7Bo0aKIbt/xvpcqv9XfF4uBAwdi//79+OCDD3THX3vtNd33Pp8PiqJERE2ff/75iM8iEa6++mpkZ2fjkksuwYoVK0ybwRk58cQTkZubG/E3z507NyIFPhaHH344brzxRgwZMkT7nPv164fi4mL885//NE3lThSfz4fMzEyds+ngwYN45ZVX4v4d/fv3x9KlS7Fs2TLd8TfeeEP3/UknnYTGjRtj2bJlpvdN7969kZ2dHVXW7OxsnVG/devWiK74QF1mQryZGn369EHLli110wkA4O2330ZFRUXELHugzpkwffp0nHDCCUkZxi+++CI+/vhjXHzxxVrTwqlTp8Lv9+O9997D7Nmzdf/Uz+OFF14AUJf1cs455+Cdd97RNaJcv349Zs+erZP5jDPOQG5ubsTfN23aNPh8Ppx33nkJy08IIYcCjNgTQsghyEknnYTJkydj3LhxOPnkk3HjjTfi8MMPx/r16/GPf/wD3377LSZPnox+/fpF/Ow777yDzMxMDBkyROuKf+yxx2LkyJEAgH/+85/4/PPPcfbZZ+Pwww9HVVWVpuAPHjwYAHDRRRfh1VdfxVlnnYVbbrkFJ5xwArKysrBx40bMnj0b5557btx1wFdeeSX+8pe/YNSoUcjLy4voQh/ve3Xu3BmXXnopJk+ejKysLAwePBhLly7F448/HrVLucpll12GJ598EpdddhkefvhhdOjQAR999BE++eQT3XlFRUU49dRT8dhjj6Fp06Zo164d5syZg6lTp2rpyMnQuHFjXHbZZXjmmWfQtm3biHp1M5o0aYLbbrsNDz30EK6++mpceOGF2LBhAyZMmBAzFb+8vBwDBw7EqFGjcPTRR6OwsBALFy7EjBkzNEOtUaNG+Otf/4qrr74agwcPxtixY1FWVoZVq1bhhx9+wFNPPZXQ33j22WfjiSeewKhRo3DNNddg165dePzxxxNKLR83bhxeeOEFnHnmmfi///s/lJWV4bXXXsMvv/wCIDxCrVGjRpgyZQrGjBmD3bt344ILLkDz5s2xY8cO/PDDD9ixYweeeeYZy/dRR+1df/312rSBBx98EC1btsSvv/6qO7dbt2744osv8N///hctW7ZEYWGhpXMrIyMDjz76KEaPHo1rr70WF198MX799VfcfvvtGDJkCM4444yIn3nvvfewe/fumNH6gwcPYv78+drXq1evxnvvvYcPP/xQm2oA1KXUv//++zj99NNx7rnnmv6uJ598Ei+//DImTZqErKwsPPDAAzj++OMxbNgw3HHHHaiqqsJ9992Hpk2bYvz48drPlZSU4J577sG9996LkpISDB06FAsXLsSECRNw9dVXR/RGePvttwFA6+WxaNEira/EBRdcEPXvJYSQBoWLjfsIIYS4zLx585QLLrhAKSsrUzIzM5XmzZsrI0aMUObOnRtxrtqNffHixco555yjNGrUSCksLFQuvvhirXO++jvPP/98pW3btkpOTo5SWlqq9O/fX/nggw90v6+2tlZ5/PHHlWOPPVbJzc1VGjVqpBx99NHKtddeq/z666/aeW3btlXOPvvsqH9Hv379FADKJZdcYvp6vO9VXV2tjB8/XmnevLmSm5urnHjiicq8efOUtm3bxtW1fOPGjcrvfvc77dr87ne/U+bOnRvRrVs9r0mTJkphYaFyxhlnKEuXLo14n3i74qt88cUXCgDlkUceiSmrSigUUiZNmqS0adNGyc7OVrp3767897//Vfr37x+1K35VVZVy3XXXKd27d1eKioqUvLw8pVOnTsr999+vVFZW6t7jo48+0rql5+fnK126dNF1Vx8zZoxSUFAQIZvZ3/rCCy8onTp1UnJycpQjjjhCmTRpkjJ16lQFgLJmzRrtvGj3zdKlS5XBgwcrubm5SklJiXLVVVcpL730kgJA+eGHH3TnzpkzRzn77LOVkpISJSsrS2ndurVy9tlnK2+99VbMa/vII48o7dq1U3JycpTOnTsrzz33nOnftGTJEuWkk05S8vPzI6YRWPHaa68p3bt3V7Kzs5UWLVooN998s+UEhCFDhkR0qjfSv39/BYD2r6CgQDniiCOUCy64QHnrrbeUYDConTt58mQFgPLee+9Z/r5//vOfEdMoFi1apAwaNEjJz89XioqKlPPOO09ZtWqV6c//7W9/Uzp27KhkZ2crhx9+uHL//fcrNTU1EeeJMhv/EULIoYRPUdKQG0cIIYQQ1xk/fjyeeeYZbNiwIa6GfyTMNddcg9dffx27du2KmmJPCCGEyAhT8QkhhBCPM3/+fKxcuRJPP/00rr32Whr1Mfi///s/tGrVCkcccQQqKirw4Ycf4vnnn8c999xDo54QQognoWFPCCGEeJy+ffsiPz8fw4YNw0MPPeS2ONKTlZWFxx57DBs3bkQgEECHDh3wxBNP4JZbbnFbNEIIISQpmIpPCCGEEEIIIYR4GI67I4QQQgghhBBCPAwNe0IIIYQQQgghxMPQsCeEEEIIIYQQQjwMm+fFSSgUwubNm1FYWAifz+e2OIQQQgghhBBCGjiKomD//v1o1aoV/H7ruDwN+zjZvHkz2rRp47YYhBBCCCGEEEIOMTZs2IDDDjvM8nUa9nFSWFgIoO6CFhUVuSwNIYQQQgghhJCGzr59+9CmTRvNHrWChn2cqOn3RUVFNOwJIYQQQgghhDhGrHJwNs8jhBBCCCGEEEI8DA17QgghhBBCCCHEw9CwJ4QQQgghhBBCPAwNe0IIIYQQQgghxMPQsCeEEEIIIYQQQjwMDXtCCCGEEEIIIcTD0LAnhBBCCCGEEEI8DA17QgghhBBCCCHEw9CwJ4QQQgghhBBCPAwNe0IIIYQQQgghxMPQsCeEEEIIIYQQQjwMDXtCCCGEEEIIIcTD0LAnhBBCCCGEEEI8DA17QgghhBBCiPQEgiHc+Np3mPbNGrdFIUQ6aNgTQgghhBBCpOfjpVvx4Y9bMOG/y9wWhRDpoGFPCCGEEEIIkZ7K6oDbIhAiLTTsCSGEEEIIIdLj87ktASHyQsOeEEIIIYQQIj0+0LInxAoa9oQQQgghhBBCiIehYU8IIYQQQgiRHqbiE2INDXtCCCGEEEKI9Pho2RNiCQ17QgghhBBCCCHEw9CwJ4QQQgghhEgP4/WEWEPDnhBCCCGEECI9zMQnxBoa9oQQQgghhBDpoWFPiDU07AkhhBBCCCHSwzn2hFhDw54QQgghhBBCCPEwNOwJIYQQQggh0sNUfEKsoWFPCCGEEEIIIYR4GBr2hBBCCCGEEOnxMWRPiCU07AkhhBBCCCHSQ7OeEGto2BNCCCGEEEKkhwF7QqyhYU8IIYQQQgiRHo67I8QaGvaEEEIIIYQQ6WHEnhBraNgTQgghhBBCpId2PSHW0LAnhBBCCCGEEEI8DA17QgghhBBCiPRw3B0h1tCwJ4QQQgghhEgP7XpCrKFhTwghhBBCCPEUiqK4LQIhUkHDnhBCCCGEECI9YsCedj0hemjYE0IIIYQQQqRHrLGnXU+IHhr2hBBCCCGEEOnRR+xp2hMiQsOeEEIIIYQQIj1i87wQ7XpCdEhj2E+aNAk+nw/jxo3TjimKggkTJqBVq1bIy8vDgAED8PPPP+t+rrq6GjfddBOaNm2KgoICDB8+HBs3btSds2fPHowePRrFxcUoLi7G6NGjsXfvXgf+KkIIIYQQQkg6EA17hcn4hOiQwrBfuHAh/vWvf6F79+66448++iieeOIJPPXUU1i4cCFatGiBIUOGYP/+/do548aNw7vvvos33ngDX3/9NSoqKjBs2DAEg0HtnFGjRmHJkiWYMWMGZsyYgSVLlmD06NGO/X2EEEIIIYSQ9MFMfEL0uG7YV1RU4JJLLsFzzz2HJk2aaMcVRcHkyZNx9913Y8SIEejatSteeuklHDhwAK+99hoAoLy8HFOnTsVf//pXDB48GD179sT06dPx008/YdasWQCA5cuXY8aMGXj++efRt29f9O3bF8899xw+/PBDrFixwpW/mRBCCCGEEJIYPg6yJ8QS1w37G264AWeffTYGDx6sO75mzRps3boVQ4cO1Y7l5OSgf//+mDt3LgBg8eLFqK2t1Z3TqlUrdO3aVTtn3rx5KC4uRp8+fbRzTjzxRBQXF2vnmFFdXY19+/bp/hFCCCGEEELcQTTrQwzZE6Ij0803f+ONN/Ddd99h4cKFEa9t3boVAFBWVqY7XlZWhnXr1mnnZGdn6yL96jnqz2/duhXNmzeP+P3NmzfXzjFj0qRJeOCBBxL7gwghhBBCCCG2Q7ueED2uRew3bNiAW265BdOnT0dubq7lecaUG0VRYqbhGM8xOz/W77nzzjtRXl6u/duwYUPU9ySEEEIIIYTYB+fYE2KNa4b94sWLsX37dvTq1QuZmZnIzMzEnDlz8Pe//x2ZmZlapN4YVd++fbv2WosWLVBTU4M9e/ZEPWfbtm0R779jx46IbACRnJwcFBUV6f4RQgghhBBC3IFz7AmxxjXDftCgQfjpp5+wZMkS7V/v3r1xySWXYMmSJTjiiCPQokULzJw5U/uZmpoazJkzB/369QMA9OrVC1lZWbpztmzZgqVLl2rn9O3bF+Xl5ViwYIF2zrfffovy8nLtHEIIIYQQQojccI49Ida4VmNfWFiIrl276o4VFBSgtLRUOz5u3DhMnDgRHTp0QIcOHTBx4kTk5+dj1KhRAIDi4mJcddVVGD9+PEpLS1FSUoLbbrsN3bp105rxde7cGWeccQbGjh2LZ599FgBwzTXXYNiwYejUqZODfzEhhBBCCCEkWXzQDbInhAi42jwvFrfffjsOHjyI66+/Hnv27EGfPn3w6aeforCwUDvnySefRGZmJkaOHImDBw9i0KBBmDZtGjIyMrRzXn31Vdx8881a9/zhw4fjqaeecvzvIYQQQgghhCSHT2fX07InRMSnsEAlLvbt24fi4mKUl5ez3p4QQgghhBCH+WbVTlzy/LcAgO/vHYImBdkuS0SI/cRrh7o+x56QQ41Fa3fj0Rm/oDoQdFsUQgghhBDP4GMmPiGWSJ2KT0hD5IJ/zgMANMrNxPUDjnJZGkIIIYQQ7xFi0jEhOhixJ8QlVm2rcFsEQgghhBBPQrueED007AlxCXqaCSGEEEKSg83zCNFDw54Ql+D8VUIIIYSQBFAsviaE0LAnxC2CjNgTQgghhCQFAySE6KFhT4hLcNIkIYQQQkhyMBWfED007AlxiSBdzYQQQgghcaPLxKcaRYgOGvaEuATtekIIIYSQ5KAaRYgeGvaEuESIlj0hhBBCSFJQjyJEDw17QlyC4+4IIYQQQuKHqhMh1tCwJ8Ql6GgmhBBCCEkOGvmE6Ml0WwBCDlW4HxFCCCGExKaqNog3F25AVkY4Jsmu+ITooWFPiEtw3B0hhBBCSGyenLUSz85ZrTvGzEdC9DAVnxBCCCGEECItc1ftijjGAAkhemjYE0IIIYQQQjwFzXpC9NCwJ8Ql6GgmhBBCCImNWT099ShC9NCwJ8Ql2PSFEEIIISRZqEcRIkLDnhBCCCGEECItZtF5rzTPe+jDZbjhte/YE4DYDg17QlyC6zshhBBCSHJ4RY96/us1+N+PW7Bsyz63RSENHBr2hLiEVzYkQgghhBDZ8FpJY23QW/IS70HDnhCX8NqGRAghhBDiBmbBEK8FSJiKT+yGhj0hLsH1nRBCCCEkOUJUpAjRQcOeEEIIIYQQIi1mJrzX7HqPiUs8CA17QlyCCzwhhBBCCCEkHdCwJ8QtaNkTQgghhCSF5yL2HpOXeA8a9oS4BJvnEUIIIYTExqzxHGvsCdFDw54Ql+B+RAghhBCSHN5To7wnMfEWNOwJIYQQQgghnoLj4wjRQ8OeEJfgdkQIIYQQEhufzxdxzGt6FP0QxG5o2BPiEvQ0E0IIIYQkhxfUKOp6xElo2BPiElzqCSGEEEJiExmv957R7C1piRehYU+IS3hsPyKEEEIIcQWTTHxPGMqirke9j9gNDXtCXILrOyGEEEJIbEwNew8oUh4QkTQgaNgT4hZe2JEIIYQQQlzGZ5KM77lUfI/JS7wHDXtCCCGEEEKIpwh5wE6mMU+chIY9IS7BpZ4QQgghJDZ+0xp7b2lS3pKWeBEa9oS4BJ24hBBCCCFx4NHueR4QkTQgaNgT4hJe8zQTQgghhMiC17QoBnSI3dCwJ8QluMATQgghhMTGbI59yAOKlAdEJA0IGvaEuAQXe0IIIYSQ2Hh13J0IMzWJ3dCwJ4QQQgghhEiLWcTeC2YyjXniJDTsCXEJLvWEEEIIIbHxmYTsPTdKzmPiEu9Bw54Ql/DchkQIIYQQIgle0KJEVc8L8hJvQ8OeEEIIIYQQIi2mc+w9FiDxmLjEg9CwJ8Ql9lcF8NFPW3CwJui2KIQQQggh0uIzqbKnoUyIHhr2hLjEpr0Hcf2r3+Ge95a6LQohhBBCiKfwgmHvBRlJw4GGPSEu85/vNrotAiGEEEKIvJil4jsvRUqwQz6xGxr2hBBCCCGEEGkxG3cX8kA4nMY8cRIa9oQQQgghhBBpMZl257k0d6/JS7wHDXtCCCGEEEKItJg1z/NCMj6NeeIkNOwJcRkzLzQhhBBCCLHGa0azx8QlHoSGPSEu46dlTwghhBBiid/EYgl5wFL2gIikAUHDnhCX8dOuJ4QQQgixxHSOvcfMZsVrKQbEc9CwJ8RlzOvGCCGEEEKIFV6wk0Vj3gPiEo9Dw54QQgghhBAiLaZd8Z0XIzU8JzDxGjTsCXEZL8xhJYQQQgiRCS+ktssvIWlI0LAnxGVo2BNCCCGEWOMzCdl7TX3yWk8A4j1o2BPiMl7o6koIIYQQ4hbmU+zlV6C85nwg3oaGPSGEEELIIcLMZdsw4YOfEQiG3BaFkJTwhNHsBRlJgyHTbQEIIYQQQogzjH15EQCgU4tCXHzC4S5LQ0h8mDbP85jR7DV5ifdgxJ4QQggh5BBjS3mV2yIQEjdmqfhe6FHkhXIB0nCgYU8IIYQQcojhhY7ihKiYNs9zQY5U4CNH7IaGPSGEEELIIQaNDOIlzCL2XrDs+ZwRJ6FhTwghhBByiOGFNGZCVExr7L1g2Qt4S1riRWjYE0IIIYQcYnDUKvEWkZa9F+5hUUSWvxC7oWFPCCGEEHKI4bVoJzm0aRBd8d0WgDR4aNgTQgghhBxieM0oIsSIF5xTjNITJ6FhT5JCURQuVoQQQohH4R5OvEROZqTJ4rVbWEZ5uQ40LGjYk4RRFAUjn52HMS8u5IJACCGEeBAv1CcTopKVYWLYuyBHoihRvnObz3/Zht4PzcKclTvcFoWkCVcN+2eeeQbdu3dHUVERioqK0LdvX3z88cfa64qiYMKECWjVqhXy8vIwYMAA/Pzzz7rfUV1djZtuuglNmzZFQUEBhg8fjo0bN+rO2bNnD0aPHo3i4mIUFxdj9OjR2Lt3rxN/YoNk456DWLh2D75cuQNVtSG3xSGEEEJIgrArPvESZoEkLwSXRBFlE/fKaYuwq7IGY15Y4LYoJE24atgfdthheOSRR7Bo0SIsWrQIp512Gs4991zNeH/00UfxxBNP4KmnnsLChQvRokULDBkyBPv379d+x7hx4/Duu+/ijTfewNdff42KigoMGzYMwWBQO2fUqFFYsmQJZsyYgRkzZmDJkiUYPXq0439vQ0FsYOKF+iZCCCGE6JHNyCAkGma3q9fuYY+JSzxIpptvfs455+i+f/jhh/HMM89g/vz56NKlCyZPnoy7774bI0aMAAC89NJLKCsrw2uvvYZrr70W5eXlmDp1Kl555RUMHjwYADB9+nS0adMGs2bNwumnn47ly5djxowZmD9/Pvr06QMAeO6559C3b1+sWLECnTp1cvaPbgD4BMueqXyEEEKI9/BCtJOQaHjhHhYDYB4Ql3gcaWrsg8Eg3njjDVRWVqJv375Ys2YNtm7diqFDh2rn5OTkoH///pg7dy4AYPHixaitrdWd06pVK3Tt2lU7Z968eSguLtaMegA48cQTUVxcrJ1jRnV1Nfbt26f7R+rwixF7rlKEEEKI56BjnngJM3XTa7cws1yJ3bhu2P/0009o1KgRcnJycN111+Hdd99Fly5dsHXrVgBAWVmZ7vyysjLtta1btyI7OxtNmjSJek7z5s0j3rd58+baOWZMmjRJq8kvLi5GmzZtUvo7GxI+MGJPCCGEeBnW2BMvYXa3ekIHlbjGnjQ8XDfsO3XqhCVLlmD+/Pn4wx/+gDFjxmDZsmXa62LaN1AXITYeM2I8x+z8WL/nzjvvRHl5ufZvw4YN8f5JDR4xYk/nIyGEEOI9uH0TL+HV5nki3pKWeBHXDfvs7GwcddRR6N27NyZNmoRjjz0Wf/vb39CiRQsAiIiqb9++XYvit2jRAjU1NdizZ0/Uc7Zt2xbxvjt27IjIBhDJycnRuvWr/0g9gmFPjz8hhBDiPbh9E2I/4mPmNUcE8R6uG/ZGFEVBdXU12rdvjxYtWmDmzJnaazU1NZgzZw769esHAOjVqxeysrJ052zZsgVLly7Vzunbty/Ky8uxYEF4lMO3336L8vJy7RySGH4h04FLFCGEEOI9aGQQL9EguuJ7TF7iPVztin/XXXfhzDPPRJs2bbB//3688cYb+OKLLzBjxgz4fD6MGzcOEydORIcOHdChQwdMnDgR+fn5GDVqFACguLgYV111FcaPH4/S0lKUlJTgtttuQ7du3bQu+Z07d8YZZ5yBsWPH4tlnnwUAXHPNNRg2bBg74ieJmInPiD0hDZ/qQBBLN5WjR5smyPBHL4UihHgD7t/EU5jcrl64h3Vz7BkOIzbjqmG/bds2jB49Glu2bEFxcTG6d++OGTNmYMiQIQCA22+/HQcPHsT111+PPXv2oE+fPvj0009RWFio/Y4nn3wSmZmZGDlyJA4ePIhBgwZh2rRpyMjI0M559dVXcfPNN2vd84cPH46nnnrK2T+2geKBNZUQkiLj3liCj5duxc2DOuDWIR3dFocQkgY80XiMkHrMjGKv3cLUmYndJGzYr127Fl999RXWrl2LAwcOoFmzZujZsyf69u2L3NzchH7X1KlTo77u8/kwYcIETJgwwfKc3NxcTJkyBVOmTLE8p6SkBNOnT09INmIN64UIObT4eGldr5PnvlxNw56QBgK3b+J1vHAPc449cZK4DfvXXnsNf//737FgwQI0b94crVu3Rl5eHnbv3o3ffvsNubm5uOSSS/DnP/8Zbdu2tVNmIhEyefxrAiFkZ0rXNoKQBoMX0h4JIfHBtGDiJczn2HvrHvaWtMSLxGUFHXfccXjiiSdw6aWXYu3atdi6dSsWL16Mr7/+GsuWLcO+ffvw/vvvIxQKoXfv3njrrbfslptIgiyK/sxl29Dxno/xyry1botCSINFksedEJIG+DwTL2Fq2HvgHtbV2HtBYOJp4orYP/jggzj77LMtX8/JycGAAQMwYMAAPPTQQ1izZk3aBCTyIa5Lbhv2W8ur8NWvO/Cnt38EANz7/s8Y3bedqzIR0lBx+3knhKQPPs/ES5jW2HvgHlYsvibEDuIy7KMZ9UaaNm2Kpk2bJi0Q8RZur6ln/u1L7DlQ664QhBwi0BAgpOEgUykdIcnguS3Ja/ISz5FwQfJ3332Hn376Sfv+/fffx3nnnYe77roLNTU1aRWOyInoNXVb0adRT4i9iBERGgKENBy8EO0kRMW8xl5+xOfMaz0BiPdI2LC/9tprsXLlSgDA6tWrcdFFFyE/Px9vvfUWbr/99rQLSOSGegEhDZut+6rcFoEQYgPcvomXMLtfvaaDek1e4j0SNuxXrlyJHj16AADeeustnHrqqXjttdcwbdo0/Oc//0m3fERGJKqxJ4TYS6afkyYIaYgwYk+8hNnt6gUdVN+Xyj05yKFBwhqboigIhUIAgFmzZuGss84CALRp0wY7d+5Mr3REerhIEdKwyfD73BaBEGID9aocIZ7FayooU/GJ3SRs2Pfu3RsPPfQQXnnlFcyZM0drrLdmzRqUlZWlXUAiH7oOnx7wlhJCCCFEjxeinYSE8ei8OwGZxKX+3jBJ2LCfPHkyvvvuO9x44424++67cdRRRwEA3n77bfTr1y/tAhK5YcSekIYNN39CGiZ8somX8GrzPBFZ5FUUBSOfnee2GMQG4hp3B9TV1nfs2BHdu3fXdcVXeeyxx5CRkZFW4YicyDTHnhBCCCGJQ6cd8RJmd6sXdFBFsfrGPbaUV2Hh2j1ui0FsIO6Ifc+ePdG5c2f8+c9/xrx5kV6e3NxcZGVlpVU4Ij9eWFQJIcnDJ5yQhgm3b+J1vHYPyyJukOm2DZa4Dftdu3bh0Ucfxa5du3D++eejrKwMV111FT744ANUVXEc0qGK1xZVQgghhNAxT7yFWYaJF+5gsWGeLI8cDfuGS9yGfW5uLs455xw8//zz2LJlC9599100a9YMd9xxB0pLS3HuuefihRdewPbt2+2Ul0iAuEhRMSCkYcNHnJCGCXV74iUaxhx7OQQOcCRGgyWpAcU+nw/9+vXDI488gmXLlmHJkiU49dRTMW3aNLRp0wb/+Mc/0i0nkRQqBoQQQoj34PZNvIRp8zxJDOVoiCLKIm2Qdn2DJe7medHo0KEDxo8fj/Hjx2PXrl3YvXt3On4tkRQ2zyOEEEK8jReMIkKi4YU7WMLeedTdGzBxR+zfeecdXHbZZZgxYwaOO+44/Oc//zE9r7S0FB06dEibgERuqBgQ0rBRPKE6EUIShds38RLmqfjeuollkdZjl40kQNyG/dNPP43//ve/yMjIwCOPPIIHHnjATrmIxIjrAVPxCSGEEO/BqB3xEqbN8zxwC4tyy+KI4LPfcIk7Fd/v9+OYY47BkCFDAABNmjSxTSjiHUK07Alp2PARJ6RBQuWeeB2v3cF85IjdxB2xb9q0KV5++WXt+2AwaItARH5EjyPtekIIIcR7cP8mXscLzildjb0krggvXDeSHHFH7J9//nnk5+cDAGpqavDkk0/aJhTxDrKkFRFC7IFPOCENkwBbYxMPYd4V33k5UkEWeWWRg6SfuCP2qlEPANnZ2Tj++ONtEYjIj74rvntyeBE6QgghhMhADQ174iFkiXYniozj7hixb7gkPO6uqqoKU6ZMwezZs7F9+3aEQvqN4bvvvkubcER+vLrQEkLig/s/IQ2TmgANe+IdvDrHXsRNcbfvq0J1IIQ2JfnU3BswCRv2V155JWbOnIkLLrgAJ5xwAnw+nx1yEY/AiH1ieGwPIoQQ0kChYU+8jjd0UKErvosm9QkTPwMA/HDfUM85REj8JGzY/+9//8NHH32Ek046yQ55iMdgOk9i8GoRr8GsHEIaJt4wigipwzRi77H9yS2VWZxg9ev2/e4IQRwh7hp7ldatW6OwsNAOWYgHodcvMXi9CCGEyAAd88RLmBnxXnBOyfCY1Qpl0wdrgx5zh5BESNiw/+tf/4o///nPWLdunR3yEA+ga57HTL6E4GJKvIYMSgkhJP3w2SZexwvBEt24O5fkrQ3q3zfkBY8ISYqEU/F79+6NqqoqHHHEEcjPz0dWVpbu9d27d6dNOCI/9PgnBq8XIYQQGeB+RLyE2e3qteCSW4+cONrSBx+DTA2YhA37iy++GJs2bcLEiRNRVlbG5nmHIGI6FJ1+iUE9ihBCiAxwPyJexwvOKRlGREdE7D1w3UhyJGzYz507F/PmzcOxxx5rhzzEY3ghDYoQkjx8wglpmHit8Rg5tDG7W70WXHLrmQsKFyoQCiHbl3AlNvEICX+yRx99NA4ePGiHLMQjyOB99Cr0khJCCJEB7t/EU3i0K74oo2td8YU3DgQVPvsNmIQN+0ceeQTjx4/HF198gV27dmHfvn26f+TQgoZqYvByEa/BrBxCGiZ8tonX8dot7Ja4OsM+pHjCIUKSI+FU/DPOOAMAMGjQIN1xRVHg8/kQDAbTIxmRFnE5oGGfGLxaxMuc0L7EbREIIWmCUTviJczH3cl1EyuKgqlfr0HHskKc2rFZ/THdCS7JFf46EAohpGS4Igexn4QN+9mzZ9shB/Eokq2p0sMICfEa4i2bk8m6PEIaCtyPiNeRzTk177ddeOh/ywEAax85O+J1GcQNhhQ++w2YhA37/v372yEH8SiyeUtlR7ZNiJBE4ONOSMOB+xHxEqbj7iTblDbtjexBJorolrji+9YGmYjfkIkr/LJ+/fqEfummTZuSEoZ4A9HTR8UgQXi9iIehOkBIw0E2o4iQRJEt8hxrBLhbe6j4rAdDIemuG0kfcRn2xx9/PMaOHYsFCxZYnlNeXo7nnnsOXbt2xTvvvJM2AYncUDFIDBpGxMvwcSekAcHnmXgI03F3IcfFiIqZWS9DV3zxbWuDCvfyBkxcqfjLly/HxIkTccYZZyArKwu9e/dGq1atkJubiz179mDZsmX4+eef0bt3bzz22GM488wz7ZabuIi+DwhXh0Tg5SJeQz/ekjcwIQ0FPs/E68h2D8cI2LvmS1N0EXuOu2vIxBWxLykpweOPP47NmzfjmWeeQceOHbFz5078+uuvAIBLLrkEixcvxjfffEOj/hBDsjVVemTbhAhJBN6+hDQcqNwTL2EWSJLtHjYz7KWosRe+rg0yFb8hk1DzvNzcXIwYMQIjRoywSx7iAfQRPPfk8CK8XMTL8P4lMrFxzwEcqAmiY1mh26J4EjqaideRzUD1mSbjh3FLXkbsDx0S7opPiAgVg8Tg5SJeQ9cXgvcvkYiT/1I3fnfh3YPRrDDHZWm8Bx9n4iVMa+wlU6rkTcUPfx0IKS5KQuyGQ4lJEoiNQLg4JAKvF/EysilRhADAmp2VbovgTfg4Ew9hPu7OeTkSRZ+K71LEXvg6EGTEviFDw56kBBeHxODlIl5DYcCeSE6QG1FS0FFHvI5sd3DMcXcSzLGvG3fnjhzEfmjYk4Rhl+zk4eUiXoYZJ0RGeF8mB/dv4iXM7lbZnv2Y4+6cE0WH+KzXhhQ++w0YGvYkJRgoMed/P27Bjxv3RhznHHviNcQ7ls87kRHel8nB60a8jmwGqhiwN3M6yBGxpybakEnKsH/llVdw0kknoVWrVli3bh0AYPLkyXj//ffTKhyRE86xj86PG/fihte+w/Cnvol4jYoU8TK8fYmMyKbcE0JswGzcXcgFOaLgFyx7Vd/Tl7O5VWMvROw57q5Bk7Bh/8wzz+DWW2/FWWedhb179yIYDAIAGjdujMmTJ6dbPiI5VKgiWb3DupETF1PiNRR95x/3BCHEAu5DhByayPbsi6n4ZrJJE7GX67KRNJKwYT9lyhQ899xzuPvuu5GRkaEd7927N3766ae0CkfkhxHoSKL1TuFiSrwMn3ciC6LDiesqIQ0f8xp7x8WIG9Wwl0FE8TrVBhWWhTZgEjbs16xZg549e0Ycz8nJQWUlR84cCrB5XnQy/NaWfW3QPG+MkXwiK7rSGyoDRBK4DxFCZHv2xa74ZmUC7o27C79vMBSSroSBpI+EDfv27dtjyZIlEcc//vhjdOnSJR0yEQ8h2ZoqBRnCwl5RHdC9ZjWWideReAHep0QWxFuR4+4IafiYz7GX69kXMza1iL2YXeS0QOr7Cm8cCNJF35DJTPQH/vSnP+GGG25AVVUVFEXBggUL8Prrr2PSpEl4/vnn7ZCRSIbe88flwYhfiNg/8elK3HdO2OFVGzS/XiFFgd90UAoh7qKPjLonByEiorLM+5KQQxPZnn1RiwuaNftzLWIfJsBxdw2ahA37K664AoFAALfffjsOHDiAUaNGoXXr1vjb3/6Giy66yA4ZicRwcYhE7Ir6y9Z9utcsI/a2SkRIemDJCJEFTmch5NDCLM4s27MvpuIr9enu+rXKWXlURF09EApR6WzAJGzYA8DYsWMxduxY7Ny5E6FQCM2bN0+3XERidBE82dylEuA3ScVSqbUobKKDhBBC4ifEiH1SyGYIERIv5qn4zssRDbOu+Ppxd+4gyvD9+r04tUMzlyQhdpOUYa/StGnTdMlBPIpZqtGhjpiKb4zQByxS8XkZibyIBhRvVCIHuvFNvC8JOSSReU8yW5fcEzf8xlvKq1Arm0eEpI2EDfuePXvqUk1UfD4fcnNzcdRRR+Hyyy/HwIED0yIgkQ/9PEz35IgHRVFM71c7EVPxA4bFszoQdFQWQtKJxDoUOYRhFDp+eKmIVzG7d2W+n8NOB/1sGTcwXqeagOTKO0mahLvin3HGGVi9ejUKCgowcOBADBgwAI0aNcJvv/2G448/Hlu2bMHgwYPx/vvv2yEvkQyZvaU7K6pxyqOz8cSnKxx9X7ErvjFCf7DG3LCX+TqSQxsZ0ggJMaJPxeedScihiGzPvhjMMR9356Aw4vsavg/IHpUjSZNwxH7nzp0YP3487r33Xt3xhx56COvWrcOnn36K+++/Hw8++CDOPffctAlK5MErXfGf+3I1Nu45iL9/vgq3Du3k2PuKNfbGiP33G/aa/oxkexMhpsimRJFDF32vF/fk8BrGJ9iNrDZCksFs95FtS6oURhyb1ti71TzPoIvW0rBvsCQcsf/3v/+Niy++OOL4RRddhH//+98AgIsvvhgrVjgbJSXuILNh75psgo4UrNc4awIh/HPOb1i3q9L0R2gwEVlRLL8hxD10c+y5fiYNLx3xMrLpTgdqw1mZZrK5NUHe+K41Fv2eiPdJOGKfm5uLuXPn4qijjtIdnzt3LnJzcwEAoVAIOTk56ZGQSI3Mhr3YxM5JxLVcjdi/PG8tHvn4F+ufsVsoQtIA71MiCwprRJLC2I8gpCjwgxF7Ij9mvTRkM+xDJqn4Moy7Y439oUPChv1NN92E6667DosXL8bxxx8Pn8+HBQsW4Pnnn8ddd90FAPjkk0/Qs2fPtAtL5MAr3Yjdyi4UNxrV8bFs8z6r0wEwakLkRZfyzBuVSEJIZ9fzvowX45WS2DdPSExk25KUGL0/XBt3Z3hns1R8luU0DBI27O+55x60b98eTz31FF555RUAQKdOnfDcc89h1KhRAIDrrrsOf/jDH9IrKZESmefY+11aoMS1vGvrYgBARozsAXZ1Jl6AtymRBgnqVhsCdNYRLyPz/RuUqMbe+L5mzfNCCpBBu97zJGTYBwIBPPzww7jyyitxySWXWJ6Xl5eXsmDEG0idii9BxD6zXojMGKulxHsTOcQRPf2MjBJZEO9Fibch6TDuNTIbRoTEQrZnX592bzbHXo5xd2qZ6Kkdm+HLlTsA1K0FGSzL8TwJNc/LzMzEY489hmCQs7hJHTKn4rsWsRe+VtOdYslC5Yp4AXYfJ7KgL7Hn+pksshlGhFhhpibJpjvpS9fUY6Jz3B2Ma6R63bIzwmagzIE6Ej8Jd8UfPHgwvvjiCxtEIV5BP2bI3YUgmr3sVq2QuIirDUpiGfZcTgkhJH5EhV4y3V5qrBR8QmTHzIEn8+1rZihLE7Gv74qfKaS2ci1oGCRcY3/mmWfizjvvxNKlS9GrVy8UFBToXh8+fHjahCPy4/bEjAyfDwGLxcitVHxRnHhHinBBJbKirw/kfUrkQLH4mkQnIhWfUTriYWTTnURptDn2Fq87ifE6qU6HjAzRsHdUJGITCRv2alO8J554IuI1n8/HNP1DAF1to8srgd/vs1yN3ErFF8WprY/YxxJFsr2JEFO48RNZkClzzMvw0hGvYKYnyaw7aePuZGieZ/heLaMVI/ZMxW8YJJyKHwqFLP/RqD/0cHshMIvK3/PeTzhQE3CtBYjoGa0x6TxqhtvXkRArWMtMZETfPI/3ZbLw2hEvI9v9K+u4O+Mbq83zxIlNzMhrGCQcsSdEpjn2GSah8Onz1yMvKwON87NdkEh/fdTmebGcDLJtToSYwduUyIJuH6JjNGm49xCvYHanyvzoh1PxxX4gLtXYG65e0KTGnutowyApw76yshJz5szB+vXrUVNTo3vt5ptvTotgxBu4nQLptyik/2lTOU7t2Mxhaeowa54Xq5Efu40TWeFYMSIjMqS3ehHjteK1I15G5iizTBF7o46pRuz9Ph98vrp1wO1AHUkPCRv233//Pc466ywcOHAAlZWVKCkpwc6dO5Gfn4/mzZvTsD/EcHshyLAw7KsDISnG3cWbis+oSep8uXIHivKy0KNNY7dFacDwPiVyIDqc3N6HvERE5I7eOuIRzIx42XQns3F3MnTPi6ixD4WDTmoTaskuJUmShGvs//jHP+Kcc87B7t27kZeXh/nz52PdunXo1asXHn/88YR+16RJk3D88cejsLAQzZs3x3nnnYcVK1bozlEUBRMmTECrVq2Ql5eHAQMG4Oeff9adU11djZtuuglNmzZFQUEBhg8fjo0bN+rO2bNnD0aPHo3i4mIUFxdj9OjR2Lt3b6J/PoF+gXBbKTBLxQeA79fvxYc/bta+dzKzQNxoauOtseeKmhIb9xzAZS8swHn/+MZtURocjIwSGdEr0Lwxk4XXjngZmf1SAZOpSG71qTE6RdSIvc8XbjTttj5P0kPChv2SJUswfvx4ZGRkICMjA9XV1WjTpg0effRR3HXXXQn9rjlz5uCGG27A/PnzMXPmTAQCAQwdOhSVlZXaOY8++iieeOIJPPXUU1i4cCFatGiBIUOGYP/+/do548aNw7vvvos33ngDX3/9NSoqKjBs2DBdM79Ro0ZhyZIlmDFjBmbMmIElS5Zg9OjRif75xIDbSoFVKj4ALN20T/vaScNZN+4u7q74XFBTYUt5ldsiHBK4/bwTosI59snBVHziVcxr7OW6gUXDfc+BGoye+i3+vWhD+HVJIvbqdfP7AL9ff4x4m4RT8bOysrR64bKyMqxfvx6dO3dGcXEx1q9fn9DvmjFjhu77F198Ec2bN8fixYtx6qmnQlEUTJ48GXfffTdGjBgBAHjppZdQVlaG1157Dddeey3Ky8sxdepUvPLKKxg8eDAAYPr06WjTpg1mzZqF008/HcuXL8eMGTMwf/589OnTBwDw3HPPoW/fvlixYgU6deqU6GU4pBGNULc9fFYReyPBkIKsDJuFqUcfsY/v+sQZ2CcWuDUB4VBA3xWfEDlg87z0QGWeeBmZb9+/zfoVK7bt1x1z63mLiNjX66Y++LSIPXs9NQwSjtj37NkTixYtAgAMHDgQ9913H1599VWMGzcO3bp1S0mY8vJyAEBJSQkAYM2aNdi6dSuGDh2qnZOTk4P+/ftj7ty5AIDFixejtrZWd06rVq3QtWtX7Zx58+ahuLhYM+oB4MQTT0RxcbF2jpHq6mrs27dP949E4vZCYFVjb8RJxU/XFV+N2McwPalcpYZL7RQOCfQdfV0UhBALuH7GT2StLa8d8Qgmt6psz74ozs6K6qivO4nxfYNCKr4aIGNJaMMgYcN+4sSJaNmyJQDgwQcfRGlpKf7whz9g+/bt+Ne//pW0IIqi4NZbb8XJJ5+Mrl27AgC2bt0KoC4zQKSsrEx7bevWrcjOzkaTJk2intO8efOI92zevLl2jpFJkyZp9fjFxcVo06ZN0n9bQ0NXY+96Kn585wWcNOyFK1RdH4qPVVdF5SpVaNk7gWxKFDl00dXYc/1MGl464hW8kIovYtY82a3nLcKhp6Xi+7SSVpmvJYmfhFPxe/furX3drFkzfPTRR2kR5MYbb8SPP/6Ir7/+OuI146gwRVFijg8znmN2frTfc+edd+LWW2/Vvt+3bx+NexPcNkjjTcV3tHmesJbXBkNQFAUVVYGoP8P1NDUYsbcP3b3J+/SQIZ591k1EJZTGafwYU3LZ34V4GdmefVEcM70z6FKaq/ExFxv7qYmvdJA2DBKO2NvBTTfdhA8++ACzZ8/GYYcdph1v0aIFAERE1bdv365F8Vu0aIGamhrs2bMn6jnbtm2LeN8dO3ZEZAOo5OTkoKioSPeP1CFTN+JozfNEnI3YC18rde9dWRPdsHc788HriHfBDxv2uiVGg4R2/aGHoij4/b/mY/TUb6Ux/GqDIezYH05tlSlzzEtENtFyRQxCEsZsLZJlfTLD7NmKs+1S2jHq6urEpky/Tytp5TraMEjYsN+2bRtGjx6NVq1aITMzU+uOr/5LBEVRcOONN+Kdd97B559/jvbt2+teb9++PVq0aIGZM2dqx2pqajBnzhz069cPANCrVy9kZWXpztmyZQuWLl2qndO3b1+Ul5djwYIF2jnffvstysvLtXNIcrgdsY93Vr2TDgizBTTWdXLbQeJ1xMjita8sdlGShoeii4zyPj0U2LqvCgvW7MZXv+7EvhjZRk5xyXPf4viHZ2FlfTMq3pfpgdeOeBnZbt9YgS+3ouLGd1UN+wy/T9Of3O6ZRdJDwqn4l19+OdavX497770XLVu2TClV74YbbsBrr72G999/H4WFhVpkvri4GHl5efD5fBg3bhwmTpyIDh06oEOHDpg4cSLy8/MxatQo7dyrrroK48ePR2lpKUpKSnDbbbehW7duWpf8zp0744wzzsDYsWPx7LPPAgCuueYaDBs2jB3xk0Kervjx3n1ORuyNK2htQInw3Pp8rBFNJ+J9sLuyxjU5GiLGDBTS8MkUmpdUVAdQnJflojR1LFi7GwDwxoINuO+cLro1lfdl/Fg10SJEdrxQYx+r2WzAtVR8Y8Cp7vsMv08raZXtWpLkSNiw//rrr/HVV1+hR48eKb/5M888AwAYMGCA7viLL76Iyy+/HABw++234+DBg7j++uuxZ88e9OnTB59++ikKCwu185988klkZmZi5MiROHjwIAYNGoRp06bpMgheffVV3HzzzVr3/OHDh+Opp55K+W841HF7IYj33YMO5j8Zr0l1MBixqOZlZeBATVD4GUdEa7CI/sVaup3Tin7cHW/UQ4FMocTpLx//gr9f3NNFafTsr6qt/0oeB7OXoS5PvIzMj755xN4FQUwQI/YZEjfPe3bOb9i89yAmDD9G6p4vMpGwYd+mTZu01bTE83t8Ph8mTJiACRMmWJ6Tm5uLKVOmYMqUKZbnlJSUYPr06cmISQx4cX6wk7VDkSlPkRH7gpxMnWHvlesoK+I4QQn3Jo/DJmWHGuLH/MWK7a7JYYa6VsrU68VTGC5VSFFw3SuLUVkTwMtXnkDlmUiL1WMuU6PPWOuSWxH7yBLRcMRevXQy6qGTPv4FAPC7Xoeh+2GN3RXGIyRcYz958mTccccdWLt2rQ3iEK/h9joQr5PJyU6kEQtoILLGvlGO3qcmcwMYLyDJnt4gYVf8Qw9xPaoUHJAyoJZVxeo+TcwxZt3UBEOY8fNWfPXrTqzddcAlqQhJni9W7nBbBFNkap5nVDG1iL1P3oi9uA/FmixFwsQVsW/SpInOG1ZZWYkjjzwS+fn5yMrS197t3r07vRISqZHRw2eGyThR2zBekppgKGLBLMjRN5pkN9LUoGHvDEzFPzTQdZyXbI1X10qOu0sO47USP9+AkxslIQlitf888elKDOzU3GFpksO15nlWhn2GWGPvtFTRqRHWI+rI8ROXYT958mSbxSBeQialL953dzT9ybAA1QRCEYtqfrb+0ZNtQfUavrjbKJJE0UVGeZ8eEsisQ4VMUvGp9MWPMTtM3MNraNgTD+Ilx76jjZwFLLvi++RNxa8OhNcjt66bF4nLsB8zZozdchBJmblsGyZ9vBzlB2ox9JgWmDSim+512VJ3rHDSro8nYr9orT6zhamkRFZ0zfM88ryT1JA5M8Osxp73ZfwYr5Q+Ys/rSOTFC495rLXILV0vWo29loovmR5aIxj2TjbA9joJ19h/9NFH+OSTTyKOf/rpp/j444/TIhSRh7EvL8LqHZXYVVmD1xesByBZ87w4397JiH3EWBGTGnvjZfOKg0RWvOSx9xri/cy7NDkURcGSDXtxoMYjdYLCB31m1xbuyWGCulZu2nswfIyB5riJGHcnHHCrsRch8WClJsm0/cdS5Vx7xizkyvD74Jc0FV+M2FcF5Or1IjMJG/Z33HEHgsHICxwKhXDHHXekRSjiHbxikDopp3FxrA0qEYv9+CEddd+77iDxODTs7UPXO4+3aVK8tWgjzvvHN7j0+W/dFiUuxI+5VeM81+QwIxhSEAopGPvyovAx3phxE5GKL0TCuA0RL+Kl29atZ8wqCytTMOxlW0fFiP0ByZq4ykzChv2vv/6KLl26RBw/+uijsWrVqrQIReQlGFJ0ioHbBmncNfYOpvEY36k6EIxwLHRpVaT7ngpVavhp2duGca9n2nPivLV4AwDgu/V73RUkTqTKyjIQVCIdtV5xMMuA8UqJtau8jMSLyFRCEksSt9ZTq2fbL/Ece9Gwr6qlYR8vCRv2xcXFWL16dcTxVatWoaCgIC1CEXkxphHJpvRZURVwLxW/ojoQsWDmZeu74su2oHoNmvX2YfT081ZNnOzMhLdaVxE/c9nWplAoMvYkW22orCiKgic+Xak7pp8uwOtIvIeXSkjc0pmt3rYuYl9/jmTraLWQfl9ZTcM+XhLWNoYPH45x48bht99+046tWrUK48ePx/Dhw9MqHJGPQFCRqkt2vNHDMS8swOodFTZLU4dROdpfFYiYXZqTScOeeAOjzsR7NXGMz7vsSB2xDykmEXuXhPEYV0xbiDcXbdAdCzJiTzyClb4n030bSxbXIvYWuQR+nw/+estetrVejNj/ZcYvLkriLRI27B977DEUFBTg6KOPRvv27dG+fXt07twZpaWlePzxx+2QkUiEceSEbAtBNJ7+4rfYJ6UB48K+vyoQsSGVFGSjf8dm2veyXsfdlTX496INqKz2SNMvD1FVG8Tbizdi+/4qt0WJymOfrtB9L+edKjeZfm/klHyzaicWrt0t1UhTI0ElsmeJbLWhsvLFih0Rx0QnCcts7GHvgRq8tWgDKriP2sJJRzV1W4S4cWutsnrb1Tsr5Z1j72CmbUMirnF3IsXFxZg7dy5mzpyJH374AXl5eejevTtOPfVUO+QjkhEI6meyu61QJfLuTqnWxsWxoro2IsKUnenHS1eegEuf/xZfr9oplcdZ5IppC/HDhr34fv0eTBrR3W1xGhRPzFyJf325Gm1K8vDV7ae5LY4lP2zYq/te1ntVZrzQA6L8QC0uqW/uN+dPA7Tjshn2oVCkYU+DNHlkqk9uqIx9eREWrt2DL1buwD9GHee2OJ7F6k6VaX2NNSrUvYi9ObN/2Y6i3CwA8mXjVdOwT4qEDXsA8Pl8GDp0KIYOHQoA2Lt3bzplIhITMbZNMqUvGk6t/caFvbo2FJHOnFUfwVNlkk15VlGNuv/9uEVqw17OqxedWcu3AQA27D4Y40y5kG3z9wIS6Z2W7Kuq1b6uDQrzgyX7vIOKErHGeqjEVjp0qfguytGQWbh2D4C6ffQfo1wWpgESlGgBkDYV30Kw045uju/W192fsu3tNUF5PlcvkXAq/l/+8he8+eab2vcjR45EaWkpWrdujR9++CGtwhH5qDWm4rsdsU/g7X0OxeyNMtUEQxELZlZG3aMnazdSI6q8siL55TMlW/JrStKHTBGleBD1Kdmct6GQEpEV5fY+5GXEayf7PkQObaxuT6NeKjOydcW/sHeb8Lg7ya5jxGhOyeSTlYQ1y2effRZt2rQBAMycORMzZ87Exx9/jDPPPBN/+tOf0i4gkYtgUB8tURTvpEE6FrE3XI+agIlhX98l2+/zhmFfS89p2snJ8lZDNRXJb1U58YBd7xf6AIhdpmXL1K6rsTdOapBMSA/hpeZ5ldUB/PeHzaxVJzqCEi1S8o67M3/fnEy/tAEm46WiHhofCafib9myRTPsP/zwQ4wcORJDhw5Fu3bt0KdPn7QLSOSi1iTlKRhSkJnhjuYaq55JxCnD3rgY1Rn2+mNqMy2/pE1LjMieEpXIfSALXmmoZkS2zd8LeCFinyHIKNZdyxaxN05mARjJSQUvjbv709s/4KOftmJw5+Z4fszxbotDHMZqnzc2dZYZ15rnWRzPyfSH9VDJ1Dzjul4bDCHXowERJ0k4Yt+kSRNs2FA3LmXGjBkYPHgwgDpvUDDIOYMNnWBIiVghmAapx6gcRUvF90teY6/Cjzj9yG/qmcNbIXG89lmLirJsa1NIUaBEjGB0R5aGgOjEkX2d/+inrQCAWcu3uywJcQOr+1OqOfYxHiLZ5thnZ/rDeqhkC4BRb66VKDNDZhKO2I8YMQKjRo1Chw4dsGvXLpx55pkAgCVLluCoo45Ku4BELsxSYdxcUxNbh5ytsc/w+xAMKagJhLBxj75Bmpr6pP4veyqp3NLJr5Ca4YEgrimyR/VkxAvJGWI0LCCs87JFw+p8y4bmebwnk0Y0NHgdiReRbY2KRjBUV0rkc1gBsNIxs8VUfMmuo1HkgOSZo7KQsGH/5JNPol27dtiwYQMeffRRNGrUCEBdiv7111+fdgGJXARDJmmQHlEGnK6xz830o7ImiE+XbbM8V9amJUZkdzx4EaeaOaYb2TZ/L+C0EpcM4iMekNjYM2ueJ5uMXkLcv2Xdh6pqg/jq151ui0Fcxuru9FKNPVDnnHSpejWC7Ay/tj/J9vibZb+S2CRs2GdlZeG2226LOD5u3Lh0yEMkxywVxk1lILGu+M6gipSTlYHKmujlKQdr615fub3CZqlSQ7YF34gn9XpJNvZEkVX5lxkP2PU6JUrmVHyz5nkyZeJ6DX3E3kVBovDQ/5Zh+vz1botBJEWmVPx4dJFgSNGi5E5hJZfP59P6q8gWpDOuR89/tQaDOjfHKR2auSOQR4jLsP/ggw9w5plnIisrCx988EHUc4cPH54WwYic1KUR6Y95JYLnlJghIWIfi89/qasVfO3b9Zh4fjdb5UoF2SP2Xmye5wFbzxTZNn8v4IXmebqIvRAZkS0aHuS4u7TihVR8GvUEiFZjL+d9a4Ubz5nZew7tUgZA3pJQo20xbe5aTJu7FmsfOdslibxBXIb9eeedh61bt6J58+Y477zzLM/z+XxsoNfAMatxcUqpevqLVXh9wXq8dW0/tCjOTfjnG+U4001TvRxm48xuOu0oDO3SwhE50onH9k1P4AVjzwzZIrhewAuftKj4iZlZsn3eoZAS4ciTTSH1El4w7DP9Ps8Zb8Q5ZFqj4gkyuHEvm73j6cfU6aKqKiLbGElZ1yPZiasrfigUQvPmzbWvrf7RqG/4BEyUKqci9o/OWIENuw/iof8tS+rn1U70dqNejhyTiP3px7RAt8OKte9/d9xhjsjU0DGu/9+u3uWOIAngUbteKiXKK3jBifPgh8u1r4OSp+JHTGaRTEYv4YVUfL8Xuk8SBzC/Qb0239yN9Sqajay+9OiMFa6vpYFgCHNW7sDuyhpp1yPZccbSIQ0Gs1omp9Mgyw/Wal8nEqlxykuqymQWsTc6F4b3aAUA6NyyyH7BDiH+Oec3t0WIiQdsPVMkKmf0DF74rGctDzf5FNd52aImwVCkAUoFMHnE/VvWsroMLzxAxDXcNkZF4q2xdxqzTAL1sSo/ENap91fVRpznJO98twljXliAW9743nLvORijd9WhTkKGfSgUwgsvvIBhw4aha9eu6NatG4YPH46XX36ZqXANFON+GpCgeV6yiqaZ7HagNc8zidhnGVqhqt9zjMehhxeiuABw2tHNdd+znjlxvNAVX0RMxZctBTqkmGSN8Z5MmpAHUvE99vgQm7C6Pb0231yWiL36XMn0fL23ZBMA4Ktfd1rala9+u85JkTxH3Ia9oigYPnw4rr76amzatAndunXDMcccg3Xr1uHyyy/H+eefb6ecxCWy/PpbJGDaPM9BgaBfFI2P/cUntEFZUY7FzzkjqKoo5ZpE7LMNxr4awZdNeSZExeigkik64hVkUpziQVwrZYvimjXPk9Ug9QIyT0BQ4cdLoiHTfRvfuDs3DHvr9xQ79LvtJBGzWq0+1+837HVIGm8S97i7adOm4csvv8Rnn32GgQMH6l77/PPPcd555+Hll1/GZZddlnYhiXtkZvggZr2YGaBOjxqJ9nZj+rXDPWd3wfWvfoc5K3foXqt1KhW//n+ziH22IRU/s35BrQkwYp8Kxj3LCxFSL8gIRF5bmZQoryCWCIdCivQ1w7rmeZJZVaEQx92lE52jXK6PmhAdVrenTIGReJ4hV5rnmUXs69u6itmDbo8OFJ0MVpdJ7t3TfeKO2L/++uu46667Iox6ADjttNNwxx134NVXX02rcMR9Mg0KaCAYilhcnfY+iopmhEEHHwpyMnFC+xLtWEF2XeQ86JAnUht3ZxKxz8nUHwtH7KmZHmp4ZXMypj3TsE8cn/Bpy2YomyGWBslWJVQ3x15/jBH75BH3HlnvTY/4QInNWEWdvVbK6EYWlNk7qs+VqOY7VbJqhbiWW63rxx3exClxPEnchv2PP/6IM844w/L1M888Ez/88ENahCLyYGz2ZuZpdHpNjWZYqAuV6JDIynQ23V0bd2eI2I/sfRiK87N0xzTD3mM1YrJhND69oAdKHrTVoBGVOuJn7QXHiLhWypiKL/s9+cOGvfjz2z9ix/5qt0WxZETP1gD0e49s11HFI0ulJRleWew9ikxrarRxd4U5dUnSbkTsoz/bYiq+u04S8dJYiSzrOiULcRv2u3fvRllZmeXrZWVl2LNnT1qEIvIQYdgHI9MgHU/FFyP2hkVU3T/FjdTpqLiiRez11+7PZxwdcW5mffM8txdTryP7Or+nsgbn/eMbvDxvLQDguS9XY/aKHdF/SBKMl1YmJcoriGUXXlBKdOPuJJPXbOSqbPfkuf/4Bm8u2oA7/vOj26JYot6TMjtxVLzSaNQKdvVPD15IxY+GWoIlS/M8FV3E3uVrqcQRsXdbRtmJ27APBoPIzLQuyc/IyEAgEEiLUEQejJ5mswZ0Tkeboy+KdfKKEftshxvUhefY69PujY3zgHBzQrcbljQ0ZNOjnv5iFZZs2Iv73v8ZAPDwR8tj/IQ8GPdWbqqJ42PEPm0EQ0pETxJFAXZWVGP9rgMuSWXOr9sr3BbBEtVn74U59l4P2cu2HzU0pErFj/IMqXqpK83zTI6pzr0m+dnaMbeDTOKlsXIqS/V5S0jczfMURcHll1+OnBzzjuPV1fKmnJHkMRr2tcHIRCOnF4JozX60VHwh00AdKedUjb16hYwRe2P2AwBkZapREy5UqSCrPqpSVevlz9fQqEyyCK4XECOOXnjUAxI3zwOAu99dqvs+qCjo/dAsAMDCuwejWaG5nuI0Mht06j0p7t+yPtuyOZcShan46cHq9vSKs1mN2LtSemly8dS7cuyp7fHmog0A3C8L1WXkWojCQFh04jbsx4wZE/McdsRveBj3I7Nok9MPWfSUosiIvdOp+Oolys4wb5QnkilE7BVF8UyndJIYDUmx80LEWTZ0NfaSGk8i4lrptqJnxoK1u3Xfi8rg0k3lGHh0c6dF8hTTrjgen/y8DYDBiSPps13t8akxTMW3F5nu22iSqPeBGw40s0uk3pZHNS9E29J8rNt1wPUgk3htrD5Xt2WUnbgN+xdffNFOOYikGMcy1YZCESuX4xF7XY29HlVafcTeneZ5RlvOzLhTswmAukUsM4MKQDJEdsuV6zp6Wa+LaFQmkRLlRWRSQq2o9UBDNRHROK0OBKOc6Syy1YZnZ/pREwihQ1khZi6rN+w9MO7OC/dgNCS7DTyLVVd8t9PHReKZF+/KuLt6bdnnM3/O1WCY29FwUTarMdAyOptlIu4ae3JoYvQ0m6WzO72oRjMsTCP29bXtTinU6sIez2YuOiBqgiGs2l5Bw6kB4uWITUTzPI8r2W4gPtJeMFLEXipecERU1cpjzItI99QLH2WG1shL/nF3HrgFo9KQMrZkxAtrFCA+c+41zxMzR8UxrLJMaBKXICvbwm3ng+zQsCdRMUYcak1T8V2M2BvEyaiPeGfomuc523lelSmetHoxYv/kzJUY/MQcTPRQYzVZkH2Z97JiFzkFQ/arLR+6hkAeuH665nmSGnsiByU17GXFh/De7rXP2ot4ef2XCau700wvdYtoj5AMzfPEMcyiiqpNaJIoFd+qBIep+NGhYU+iYkzFD4ZCEaOGaiTqiq8unKLBrHoinVKoQwlE7NWu+ADw3FdrAADPf73GFrmIexifIy9hfGqYUZI48dQNyoQX6q5FxOaUUtmmkj324t6t7k+65nke+Ky9CHvn2IsX1ijA3eZ56h6kM+yF19V+T25H7M0Me+NEKUbsoxN3jT05NDH2ezN76GsdbmyjVz708qiecXHUnOM19vX/x1Nf6ff74Pd5I9Vw454DOKxJvttimGI1HUEWPJ2Kb7i2XlGiZGDR2t14ctZK3TEvREXFtdJrn3eNRPW2suLzhfdFsY7VYx+1Z/Dy+i8VFvdnMCRP82FZm+epgmWbNHEGwsEwt0fJifuNujbl1PcGUXFbRtlhxJ5ExWicBkJKhKLvZiq+EXXhFL2STtcOqYt2vEFas275MnLve0tjn+Qa+s82WgMbN4gVsZdNXpGIiL3EssrGBf+ch29W7cI3q3Zpx7xgKHutxl5Epg7q7psZesRHV1XkRUeIjJ/1ht0HTI9bNdaSEabip4dod6cXSsRcrbGv/z/bKhVfndDk8nUUM4BV20IM1AHe+KzdxBsWBXGNCMM+GIrw6js/xz78tVWNfY4wQz5bmxXvbFd8X5xqncyGfWFuOKlnR0W1i5IkhmwLf6yIjcy2stHpQGd5anjBMSI6QWV7lmIhU4dsGSKIZvjg0/adal0Zg1yf9ftLNuGUR2ebvibT9INY+OXd4j2NGH2WxSkV7RFyt3memoovGsnh9SlTkoj98i37tK/FiL2ITGu8jHC5IVExOpoD9SlPIk7X2O+MYmBmRknFDzrUcCORrvgApB5xV5gTNuzdrr2KhttZJLGI5buRtRu1GWxckxqS3ZqmiMa80bDfU1mDJ2auxLpdlU6LFRdeiuQ6jfhJaoa9xKn493/ws+VrYl8F2ZFt7KFXMeqe+TlhPc8LDkg3DXv1La0i9qqTxE3dadPeg7rv1WwiMVAHyK2LygANexIVY8QhEDS2znNnIVi9owJAZGpWuMbezVT8uv/jjdZkSuzOz8sOb5wHarwTIZGtuUqsVHyZo7gRc+wlltVt/v7Zr5gQxRgB5IksRSNoqLEX+5rc9e5P+Ptnv2LYlK/dEC0mMhn2sppzdTX2ddKJkW/ZHIxm43VVvBSxZ429PeRnCYa9JB7TSA05jKtz7E0Me5Hc+mt50EU9b/0ufdmN+oznRqTiy/FZy4q8FgWRArNRV8ZjTjfPA4DdlTUAIuUL19jL0DwvvvOzJY7Yi8hs2Bs/WVk2eZVYERuZ9ymjoiLZpZWKJ2auxLS5a7Fqe4XlOV5wjBidteIIpIVr9wAA9lcFHJUpXttItmwdmRD3S9WhLEbsZXM6RXtWPBWxF5SBAzXOPjdepToQ1PS8XRXVUJTwTtSlZREA4A8Dj9LOlyViHzUV38XmeerVy9bNsQ+jBnEOuDg61NiLQnXS5hoi9jL1UZERdsUnUYkwmEIhKdKeVSXPMmIv1thnOJv+pI27i/P8TIlr7MUrdkqHpq7J4XXEiI3ZfSizsRcRsZdEgZIN0WiqiqIcyWY8mWGUsTaoQK3KyXSpEVi8j4hMEXu/z4elm8rh8wHHtCp2WxxtPfcByMqMrLGXzSmSl52JSguHcrRnTDbE9f/LlTtxRtcWLkrjDS785zz8smU/7h3WGfe+/zN+37uN9tqUUT1REwjh6BaFmPDBzwiGFE+kZ7tbY1/3f5YuFT98X+bXG/bLt+x3VC4Royqslvkam+dVVtM5Fg15LQoiBUZlyiwV3+ka+zrqFqTIMWeRqfjqMceUlnqZ4p1dLnONvfhhZ0ksp/E+6H5YY1fksEK8F8zuQ9lSYEUixt1JLKubiJcl2iXywvUzRr/EDBjZOnwf26ax7vtqiYzTypoAhk35Gmf//Wu5lFFf2OEtdsWXzbA3Ns0S8VLUrkVxrvZ1aaNsFyXxDj9uLEdNMIR7368rbXpz0YZwOnmGH51bFsHn82mORtnSs8XGwypyNM8zj9hX1Gdg/feHzU6KpSPDUJaqNc8zROxlzh6VARr2JCrG5ac6EIyILroZsbeKdOYKtVfqguZ4xN7nw9AuZQCAPu1LLM+3misqA+IVkzn1UbZuzkZEn4jZ8yJzFNzoypMl5VE2xLUomvEu82etYlSSReNPNkdkRMfkgDzXVyxXcLp0wQzxtlRT8cV9UaZrBwBHNCuwfK3aQxF7ES9Elr1EpovGcjSGH9tK93270nzNwe/muDsrZ9lGoXGdW/qUsRdFTX2NvVFHlikrS0bktSiIHBge8KrayFR8N+qZtcffYv0RFwJ1DXXKIBFT8R+74Fj837nH4OlLjrM8XzZFWURc4L3UrEi2TV6McppFmiQTVwdT8eNDvCrRSiu84BgxGh9iM0o3IvbRFE1jaUBNUJ51SonT2eM0PviwdV9VxPEaySL20S6ZlyL24p8hW1aElzBrTJepdXOX4/lSn3lxXTrpqFL8c3QvZLmYXaDuSVZd8UWjet/BgCv7vHFvUZ9xY38VLz37bkDDnkTF+GhX1QalSMVXFymrdxZTn1WFyikHhKqM+H0+FOdn4bK+7VDaKMfyfJm74ovXV+bF1HgfyFazLtaymXmbZXNEiKiSuZlG6AXEey7a7bdh9wHrF13ik5+36r6Ploqf5cJ6Fc9saBVZozmyOcTUbDIR2Qz76M3z5HHgxEJ08MiWMu4l1EsnGnqyRuzFtPLRJ7bD0S2KNKPajTVKvQXFenXddRQCTMf+36e4dvpip0SzRHWCydDXy0vIa1EQKTB7oCK64rvwkKkRpXhShlRPpHMR+7r/4+3iLHPtuqhYyapI/bajAq/MW6c7JpthL7Jw7e6IY1KXEtSLphpQMl9bN9HX2Ftfoz+9/aMD0iTGHf/Ry2RcK2tdrrG3uponHlGiTT1RkdWwl8nw8PmADmWFEaOv3JhwE42ohr2HMshEaiQrd5AR0QkmdkQ3czxlSFZjr0ouGsrqkqk+b24ESUKaYR++nuK0niObNdKdP3PZNkfkEjE+7+pa3ihH369ANgekbNCwJ1Expj7VBBVXvGdmY/cAa4VPJNPhrviqVPHqv0bFVCbEyy5rxH7QX+fgfz9t0R2TZI/XEO+8W95YEvG6zOnZ6hoga2REFkSlxGuXyDiOMWh4gMQ0VzcckVaOkpsHdYhwNMiSkgvon3u3U/HNrmHzQn0mmWyRsGjPkUyfcyzESy+LASoz4rNitt+IGXDaOGNJ7gdVdHFdMjZ1dkeXimyeJ677fxzS0XGJjBiXKNWw79SiENf1PxKX92sHQD4HpGzIa1EQKTCrpzca+04oA8a1XTPs41jLxTn2TkRGtYh9nAPvjFETmdAZ9hI3zzMiW1Q51n0ns7Gsih7uPiyvrG4iXpZY959sn7cxuyiyxl7OiL3f54twNMjqgJQpFV+9YhGNByUxjlSirZuyGHLxIOpMsjlPZERcH80eG/GJz5B0XxJr7I0RezeyilR/kpVhX5yXpY28c4uIiH39s+L3+XDHmUfjmlOP0B0n5shrURApiDDsQ0pENNSJ1DLjA6/WfKrHn7nkOMy78zTdOce3awIAOLdHuDupEwq1qozEm4q/blf0mtvt+6uwbldlqmKljKea50ln2Ed/XeaNKpxaWLddyGSgyEQiziTZlftoqfiZLmQYWV1aHyJHJFXVBrFh9wFsFro8O4nu+RC+dHtNMnv7bMN8aNnKGKJH7OWSNRritZfNeSIjop4WS2eTLZNM0TI2xRnxdank2Rl1z5sb+726P+UIE6OM2SNuB5mMa6T6rKg9s1T5aoPOBOm8SuSgRUIEIhrlBUIRx5yJ2EdPxe/epjFaFufpznnjmr6orAnoFthASEGmzU5JdX8xprdasWZndKP9hIc/AwAsvmdw1CZ8ibJo7W6UH6zFoM6RTZRUxMVT5nF3RmRb82NtQjIrqarsWvM82S6uJMQ7xx6o+7zFkZxuY9SJjUqyaIwYu9A7gVk3bKBO4TPKs7OiGqc8OhsAsPKhMx1XVq0ih7IYHkA4Ndh4bWRLE4+2bsq8ZhrRG/bekdstYu0xZk3f3JjOFA2fDzi7e0vs3F+tBZnUeexuZD+qVzTD78OlJx6O79btxYlHlOrOsRqF5xRWz7v6cYtlqzXBkK4RIAlDw55EJbK23Z3mecbnXYvGaGnvkWT4fSjKzdI1fXMiXSuUYMQ+Xn7Zuh8nHZU+w/6Cf84DAHxzx2lo3TjP9Bzxasma4mqGTEo0ELvmWrb50SJaxF5tnifZtZWFRCIIskXtIg15Y429y6n4FpfL74t0NGwTxrhtLa/C4aX5dooWgdXa47bNbCZVjiH7wkvrpmyp19EQHVNeKiFwi0T2GDVjR5b7QVyr/jFKP+ZYHcPsxkhOcQzzQ+d1Mz3H7Yi91UeoOkREx0NtUEEOLVhTmIpPTDlYE8Qlz8/HL1v3644HXGqeZ4zY76msARDeMKMZ0aIiGnRwU403Yn/yUU0jjpldU7u60m8tj5xnrKJvnuedVHzpauxjvF7rttYfBa3GPkPOWkZZSOSyyBa1iyx1sv7ejYi9FT6fT9d9GgD2VQW0r91IebWKesuU6aJesYiu+JIZndFr7OV6hqLBiH1ixHpuxRHBWdq+JNd1Neux5GaNvaqERNNLs11u5Gzl0Mmtj8zrIvYeCjQ5DQ17YsrrC9bjm1W7Io7XmDTPc2KOvfF5V79VN8xojepERdSJxT/RiP3953SJOHaw3ogXFzpXZp8KnzWb5yVPzFR8D2xSWZJFRmRDN8c+hitHOqXEIK7RiVcjaY293+fTKfmAPurshrJvFfV2OxputgYZDXu3ZTTSYLriC1/L3E9FFmJ9tmLDTK15niT3QzQp3OyKH49eakxtd7qO3ep5V8vWMvw+7fOmg8waGvbElAM1AdPjgaCiPXyqd88Jo8S4wFRW1yme6tFoQSSfz+do51TN2RCnZV+UlxVx7GBN3d+nG/ti2yJr/XvFt6wJhjyThi2Z8z6Ommt5r6sqmeot54Zqjm7cXYxLJJty7zcsoEbFU9c8T6Yae1/00gA3lH1xj9GPQJTnGVe3JmOErjYUwoylW7Fqe4ULUkUS7Zp5ah0S/gxZDFCZiaVTis5F6Zrnafpf5Gs5Lkbs1asTTS9129Fn5UjIyw7LpcrkpUCT09CwJ6ZYPfx1NfZ1X+dkOqfoG9eXg7WB+uNRiuwFnDTsxVqmeDBronVANewT6A6bCOICGk3fNL4km0FihUxpr0BspV7mVHz1BsnKpKc8GuJHHPPzluwaGm1jo2GvS8V3OV1TpC5ib73SunGd9RkD9qzfyWD27kZFfvWOSlw3fTEGPzHHGaFi0BBr7GV79mUk1jUSn3k1Y6dWsvvBbFVSn7cFa3Y7KwzEMczWGJvnOf2MWUbsTZrkfbR0i83SeBe2HiAJURtUNKU1O9MPVDvVPE//xO+rCuDaVxbFlYoPAFl+H2rgTI29KlO8NfZ5JoZ9RVUA17+6GIeXFGjH0hnxsZjIFIHxulfVBqXq5m2FbKNQYtbYy5aaLaDKrkb3ZIo4Tf16Deb9tgtPX3KcBI1/4o/OytYs0bhWGY3QGouIfTCkONJMz3LcnS+6o8EN48/KmJcp20ndL91+ZmLRMLviy3MfyEqsAIJYa6322AhK4xy3/nzVP8uN5059lqIt15FTMpw27M3fL8dE59yxv9pucTwLDXtiSjSbVG1a42RakXF9+d+Pem9dLBtaq8txYPGPloplhtki/+WvO/DRT1t1x9JpUMUdsY+ovXV389y89yBKG2XHHHMiWzQnlqEncyaEKno4FV+ea/vgh8sAAB/8sBkX9DrMVVkSGXcn2+dtTMU3YtU8rzYYQobffkef1eWUMWIfsorYSznHXnbD3vo1mRyMVlTVBrGvqlZfYy+xE1cWYu0xojPR7Rr7YEjBul2VaN+0QJfpaqb/dSxrBMDdySLRUvEjIvYOr59WepIY/DqqeSOs2l6Bdg5PO/EScq/qRErURTc3u+5hc8LYi2UYxVom1aiOE+mQoTg8o7EwU0hti9hH+b3GV9ysa1q+ZR/6PfI5Rj47P+a5bqe9Gon10clcL6amkapGgGzdhwGgoqrWbRF0z2cwpODHjXstz5Ut2hhrrdLV2AuNq5xyUFitUX6TrvgiMhl/bjsbdX0KLGrsdedLkPVk3POaFYbHvcq4Dhk59dHZOOHhz8LjeeHOqDOvEW19LDb0JMp0uanrgx8uw2l/nYO3F28EEH2vV7Md3WyEHG2tNwZMnL6mVteukTDXrkvLIgDONO32KjTsiSnRUttVZU6te5HCsI8RHs900Ksb1Az75C37vQciDZV0Rkr1HbytiUjFd3Hk3Uc/1WVp/LBhb8xzZVLogdhKslWzShmIjNjLp1DL8Gkba+zf+W6T5bmyXcOMGGuVKK+4rq3fdcA2mUSsI/bRm/m5YfxZ7VVSpeLXXzJjhE5EBnGN13LWH/vj9jM6AZArc8iK7fXpwluEkbKM2McmWmla+UG9bpTpYP8kM6bNXQsAmDzrV91xM51Uy3J1JZOo/osEmuc5rUdZrZ35OWGHg8x6iCzQsCemRNPzVEM+N0sd3WG/sRcreBAr4hRe/ENYtb0CV7y4AIvX7UmTdHpUBS6VdKvdlTURx9KpEMSbNixTxD6R2n7Zojmx7l+1WaKMqLJnS5iKryJBcNFQY68fyWRENqUklmPU6jMfNuVr7Kqwp9Zxf1Utrnl5ET74YXPSNfZu3KtW9oXbWUSJpuK7LS8QKXNWpk9Yh+R6huKFhn1sqhP4bLUae5fvB3VEcbS9SH3e3OipE08mqTGDx2k9ymrJKcgOR+yz1Sa+fI4soWFPEkbdUPPqU/Frg4rtSkDsVPzoimlG/eI//KlvcNG/5mH2ih343TNz0yafiBaxT8CwH9y5ue77PQdMDPs0blzxztw2XnZ183KDRBwlshmfsR4PmZVUVfQsNRVfQlll+LSN5S3RDM4qyUov/DE0AfH+NN7L93/wsw0SAc99uRqfLtuGm1//3jLa7fP5dI20jLiRuWMZsZfB+1SPupJGS8V/c+F6Z4SJgvGKZfjDn7dsWVnxIkt/jfvfX4rBT8yRMlssEaPN7Yi9iipzNH1KvXfduAdUqaJlkuZkyRex9/nCQUSAEft4oGFPTIlmQqkeZ3EEhd1R+5hrdgybL0vQXHdWRBrN6URdb2Klt4r8/eKe+N/NJ2P4sa0AALtMZExrxN7yG8N59QuturC6qQQkcj1liDaJGDf77Ew/Lu/XTvte5nox9R5QI9BuK1CyoquxV5SoKeK7TDJy3CTWs6V35ug//1+32TPzfKdwjawaz/l9vqhRZzcyd6zsdxn10GjX7t737XHYJIJR0c/0+7UI7Uahbl1GrMqvZOmn8tK8dVi1vQLvL9nstigRJOKYz3Cxxl78jPdX63UjsyVVi9gHFcdLc1RZo630bkfszZ6ZRtmZuoyybM05Qj3EChr2xJRoep5m2Aup0XZvVrEWwXi74jtBMqn4+dmZOKZVMfLrsyB2VUamt6bTQxl3jX39/2rzEjdTxhPJgJDNm2vcrzJ8PkwYfgzG9G0LwBvpmU5OwUgUGRp96Wvsoz//39tUBpQssfqBiEqUUdezq++GWP+90yLdP9PvQ45kqfhW96LbXfFFVEVZ9q74RsM+w+/T7tVV2/a7IVLcWBmaskTsVYzr+YbdB/CP2auwz8WGpIns35rD2YXrOmfljohj8aTiA85MaBKJZwxzhqF8TIY59oW5+uFtWZmM2MdC7lWduEa01Hb1gcrK8GnKq90N9GLpRLFMPicN+1Sa56kdX7fti1Rk0xqxF35V1Gtb/1p+tvuGvbjnxDLkpIvYmyioAJBXf11l3qSMzfNkjNg/9L/lpn0pnEQ/QlKJmiIum0EVy2km3p/RUk3TSduS8DijTXvMo7N+vw9ZmdG64rtRy2pxXMIa+1hjQ91GtX36tC/BlIt7AgDaNKm7LyprgvjD9MVYvmWfW+JFxWpNd3tkrBGjnOc/PRePfbIC97231CWJojs/LjSMNc1wMRX/ixVhw/7wEv34NTMdWoyIO+0g15xkCailMqTiNzIa9hnyBhhkQS7tgngC9YHy+cKNbOx+yGLVJ8YyoqMp2ekmleZ5RYZRLiJ7D9SmzQCMt95TPatAi9i7l4ovGh+x9nDZjE+zWlEAyK73Vkht2ENNxZerxt5oKL08b607gtQjihMMKaZr0vHtmgCwvxwoUWKtB4EoNfZ2uUxFA8iqdCHD50N2hrVxWuvCOmB1LWVyNmo19pI5mIyozrJ7zu6Cc+rL1A5rkqe9/vHSrbb1ykmF5Vv24bgHZ5q+JpthXxMM4aJ/zcOt/14CIJwd8+WvO12TKdp+2OPwxrrv1QlCz3zxm50imSKWoKqZA9GecjcN+3hq7Id0LtN9L0fEXq8Te0Fnchu5V3XiGlG74tc/UD6EFzO708tUZcmq2U8sw92NiH0yvgQ1Fd+MNxdtwMDHv0hSKj3xNs9Ta6zUdKjKahdT8YWbMtaiLltXfLOUUsAbjWAix93JYaAYlY6twkgpNzB2xTdbQ1UH2azl25wSKy5iGZ1iKr7Rbo3VUT9ZxAaD36wyNzIy/DFq7N1oUmVVY+9yKr7ZOi+7Ya/eluItZpyOImaRrdtViVXb3U/RP/NvX1k2yJTFMaqyZP1ezF+9O2I8Z7QGdvurarFw7W7bSqCiRYqNut7/6sfguuEwET9j435ktiz6/T6t94rTJRnasxTlnN7tSvD+DSdp+p7T96rZ/VRakK373s0GhF5B7lWduEY0Ra9WjNjXp/LZH7Gv+9/YtVMl2mgpIPqs43SjXrtkUvHzYox027jnYMQc12QwRhetUD/Xkvy6xfWgm83zhM/QypOsniJbx2TjfqXeG1la3bpc8oqokmVLVttmvG+ddN6ZoTfsFVMFqkn9c2RUVtzGag3QOk6LqfiGm9muqy7W7ls9z7ENe3ki9m6n4ouoW1O0rvgyoDoj9Ia9ucyhkIL+j32BwU98if0u1odb9YNQkWX9VKkKmD/b0aK15z89Fxf+cx7eXrzRFpmivXcsXc9JxECMqivF8nW41atG/WxjTUA5tk1jlBXlAnDeiW+2dqqyqMgWYJARuVd14hrRFlbVU+bzCYuUzZuVuihl+n2mykisqFGmxWZgxyabSip+XpSIvcq+NBj2YvTGShGtCYQ0B0CTgrp0qEo3m+cJlzNosahnSrroGx+nTE9F7NVsGbm64hubD7lt2IuPkaKYp+I3L8oBAFS5ODbSDCujU3U06mvs9RTnW5cPpcJBYa0xayYK1KXiR1P0nW5QBUgcsTersbcwkmVBvS3FZ8mqL4C4LrmZvTPpo1+ivi7b3iRG5kXZomW9rdpeNwnDro760ZxgTpZVxuL4diXa1zWGcXdWq1K2a4Z93f+xRkMDYf3E6fIhs1suosZeDTBIVtIiE64+IV9++SXOOecctGrVCj6fD++9957udUVRMGHCBLRq1Qp5eXkYMGAAfv5ZP4KluroaN910E5o2bYqCggIMHz4cGzfqvYh79uzB6NGjUVxcjOLiYowePRp79+61+a/zNsaF9eqT26NxvQKn1dgj7D212zARN/icJNIHrTYDO5rBpdI8L1bEHkjPLHldB2+Lj07s+FqcVxdhdLXGXkzFtxA6S9uQ5Fr0rVLxZYuCi+yrqkUoFHYByeaEMDp3knne0on4EQdD0NZLEdUpWVkTlKKTv4qV0ZmbrRr21o5A+2rsw+vc/irzdcfvR9T9oNaFTBhPROzrP7X8OPYbN1FM9lKrz1u87m4az//5LnoUW7amX+J6rv869jWMt1dPokSP2Os//xHHtbZFhngQDd94SwHUPd/p0gGz7Bcrwunuzjqg1ftJdNYau+LnSKaHyIirhn1lZSWOPfZYPPXUU6avP/roo3jiiSfw1FNPYeHChWjRogWGDBmC/fvDNVTjxo3Du+++izfeeANff/01KioqMGzYMASFG3LUqFFYsmQJZsyYgRkzZmDJkiUYPXq07X+flzEurLcM7qB1o1UfKHGGsFPN83w+H3KSUEasmtIdtMOwV+fYJxFBVLvPRyMdzgjjzG0zxE1LTR12syu+KKVViq16b1jVN7qFUalX0+GK6jct2eaaf7t6F477v5kY+/Ii7cKHm+fJYaAY1ygny23MMKbiq/diy+JwKmGmkAe5ZMNex2SLhZWOZBqxr/8z+3dsBsC+Z038vVaGfYY/evM8pxVTwLp5ltvN88zeXe35YEU6yr5SIezQDx+zmuAgXl+ZlX7ZaoPFa5Xo2m6XbzKaw8CYsfmH/kdqX89a5mzvEr1hX7/WmPSFEMl2KMvViBrriKcnirruf7dur6NlLerHrpasAUBhjjFi706PAi/hqmF/5pln4qGHHsKIESMiXlMUBZMnT8bdd9+NESNGoGvXrnjppZdw4MABvPbaawCA8vJyTJ06FX/9618xePBg9OzZE9OnT8dPP/2EWbNmAQCWL1+OGTNm4Pnnn0ffvn3Rt29fPPfcc/jwww+xYsUKR/9eL2FUQnKzMrR09nBXfOcWqZDmuY8eobGi2MKwr7QhAq3Kmo5U/E/GnYqXrjxBd+xAdeoyix+vVSRJnWPbp32Jlg7lZvO8aiFTQVVGjFHPgpy663ewNojyA+4qpSJG54kaMSstqEvNlklWAPh8xXYEQgo++2V7uHGlZNkFMtfYK4qi3ZvtmxZox8XRbHf85yfnhIuBmuHyzvX9cPsZnbTj+dmRhr36d6q1ztU2zbHfvj+cTm2lXOZkZkStsa92wcFnZZTIUsIChI2OWIb9sQ986oA01oQd+rHPFa+vbM1TRWRZP1XExpifLtua0M/aFrGP4mAwlo+IOtPNb3xvizxWBHTOJEWnS1mlvDs1ScqIqEPHQr2mT81e5ejUCVXGTi0KcexhxWhVnIt+RzXVncNxd7GRp1jFwJo1a7B161YMHTpUO5aTk4P+/ftj7ty6G23x4sWora3VndOqVSt07dpVO2fevHkoLi5Gnz59tHNOPPFEFBcXa+eYUV1djX379un+HUqYRcPUB+qHjeUA6jZbpx4ydf/w+3yWzXOiUZRrbthv2H0gFbFMSWfzvLal+WiUoz+Wjjp3cQOyitir42NaNc7TFHy3UvHP/NtXuPf9cBmOeo2NunKBkPEw/q0lTogWF0bniZoWZ7dxlCxiHauaMpgtWQqcUXl337DXf63VNApidWheqH2djpKadKE+T8V5WbpoidqBXNwP1L9LXavsSikVs6n2RYnYR6uxrw6EsPdADb7+dadjqfBWJRauR+xN5CoQjKLbz+iEUzo0jThn2Wb3dB/1M4snyih+vjI3I5WtNnj5lvDn+6e3f0zoZ+2K2EfrR2HssSBOSXB6BzCW/L2xcAPe+X6Txdl1ONVw2oh6RePRS0U9dOW2CpskikR9hHOzMvD+jSdj7p2DcGSzRrpzcuuvX5Vkz5FMSGvYb91a5zksK9PPVSwrK9Ne27p1K7Kzs9GkSZOo5zRv3jzi9zdv3lw7x4xJkyZpNfnFxcVo06ZNSn+P1zAuWD6TJkXiHHv7a+zFiH3iqfjGOh2Vq19alJJcZqTSPE/sslqQnYHcrIyI9Px0p0aJ+ubmvQdx5bSF+PrXnVizsxJA3agpVQa3UvFF5QMIG3XGiIG4yc9avt1+weLEqKio36r3smyzjbOFZ101QNVosyyRR7cNJSOi4RQMKUITJR/evq4v7hvWBYM7h/eivkeUOi6jFeqlzPDpm5OqCp6ohKp/lxrVseveFYN20T7raKVZ1YEgLnn+W1w69Vu8/0N0hTtdWNkksjjERBoLTpxV2yvwxMgeEees3VXpoER6FOG+jIU+eirftVaRrXleKtgVsVf1z0YmGSXGwI6Ywen0tTWuS3e9G87CipmK71JX/Hi00niaONtBPFkFqmxVLpaFyo60hr2K0VOrKEpM763xHLPzY/2eO++8E+Xl5dq/DRs2JCi5tzFT3jMNczJ8cG6RCs+zTS5ibzUf3g4jRZtjn0zEXjTs6zc1MYIGAHvTkLatqwcWrsE97y3F579sx6VTv9WOKQhHdtxsnieibuCRM7XDX7tdcy1idZvlaBH78POzY3+1643VxLVRvd/UWmZZauyNSpzbDgd9xF4Rahrr5gNfeXJ7+Hw+XHvqEQDcU57MCArOSDG13TQVv/5LzSllU+aB2TPQunEe/nZRDwzr3hJ/vfBYAHqnrXHJrawJ4uf6iLNdHbyNWN2Gbht0Zu8uftYHa4JoVpiDWbf2d06oGCTSiFbc05ycOlEdCGLV9v2xT6ynJhhyfX1PF/YZ9nX/mxn20SL2TtddJ7Pn5Lg0h10RdOjEf9bZbKdoz7v6ecuU8SYbsTt1uUSLFi0A1EXcW7ZsqR3fvn27FsVv0aIFampqsGfPHl3Ufvv27ejXr592zrZtkQ01duzYEZENIJKTk4OcnJy0/C1e5LcdkV56YzdSn8+5eiHNk+dPLmJvVUtobMyRDrRU/CTcZqKyrypdzQr19+FeG+fYb9pzMOLcI5sVaHK5WWMvEk7FN9auhxnQKTJTxy2s0oDVaINqHL37/Ub88c0fcNXJ7XHvsC6OyWfELEKq9dioV0yTURDSiVFGt6N04r340P+Wa18br5NqiMo08k4zoAyGvdoVX5eK71TE3uQe3LT3IM7t0Rrn9gh3wm4kZDQZ9c+ZP4f3/mQcrclgZey4fX+KYpldiraldb0gjM3J7DLe4iHZGnsn03RHP78AC9buxj8v7YUzuraI62cCIUWqeezJYpcvVY3YF+RE6nrGwI6b4++SyRpzK2KfyLP09aqduu8rqgMotChnTSdm4y2N5NGwj4m0Efv27dujRYsWmDlzpnaspqYGc+bM0Yz2Xr16ISsrS3fOli1bsHTpUu2cvn37ory8HAsWLNDO+fbbb1FeXq6dQyL5Uhh1NuGcOgPDuBGJXfHtVlpET55xYT/pqNgprY0tmueVNMo2PZ4KqTTPE8cPqWub8ffstpjpnAhWXfHNZL79jKM1x4g8EXu1eV7ka7cO6QgAaFaY/s82WYwKgDEVX1VEH643CKd+vcY54erZtq8Kt765BN+v32MaiRAVfhnS4I019m5nEljZP8YnKleb3CCPYqJ+npkGw94sFV+rgxTKSOyI6MR7j1l1SQf0UTGnZrbLatiLiI29/nvjybi2/xG48bSjAOgbPALuNqnSSkQMn/HQLvqgTCAY0jlPnXy2FqzdDQB4bcH6uO9Zme6FVLBrxdUi9ibGZKzAjpPZEMlE7F1Lxa//P57sl7vOOlr3vVPTMeJxPjAVPzauGvYVFRVYsmQJlixZAqCuYd6SJUuwfv16+Hw+jBs3DhMnTsS7776LpUuX4vLLL0d+fj5GjRoFACguLsZVV12F8ePH47PPPsP333+PSy+9FN26dcPgwYMBAJ07d8YZZ5yBsWPHYv78+Zg/fz7Gjh2LYcOGoVOnTlaikXq6tCzC5Se1BwBkGiP2CHtL7a4R1s+xDy/sXVsX4fnLjo/58wM6NccJ7Uoiju+xYcyYltaaRIRIvMaioVIkpJvuToPM4uYnfi2KrCr1TQtytK9lGSOnbqiKQbWo6wVRdw1fXyBP+YzlnPB6YyMYUhAIhlxtAHfbWz/gne834fyn55pmGIiREbfT3oFIw8/tTthWCqVxGZBxJKPY8DMnIzIV37R5Xnb4PDvSShPRz08/pgxN8rNwdreWlucYS8lsQ9JUfCu5uh1WjDvP7KylPRsjoLf++we7JbMkJNyXImd200fGqwMh/egxF5xmiqLEHUVsKB297TKi1Yh9kUlvJLN+SVec1E772snRsdEcOVYZbaqDvNrpcXdqKn4c5w7r3kr3vXOGfd3/0fQgVRc9UBtsMCUt6cZVw37RokXo2bMnevbsCQC49dZb0bNnT9x3330AgNtvvx3jxo3D9ddfj969e2PTpk349NNPUVgY7iz85JNP4rzzzsPIkSNx0kknIT8/H//973+RIcy2ffXVV9GtWzcMHToUQ4cORffu3fHKK684+8d6lFsGd9C+Nkbsg4oiROztfcDC3XH1qVjdWhfHVauanenHv6/rG/E37KsKpNW7ryhK2AmRopEmbv5iGtTO/alvXPpUfPHr8AuqoZSZ4dOu8cHaoGPdpaOhOj3MRBE/43UuNn4SMe4/qmfa2H3eqXRhM1YL5TdmjohsXZMi9xVTo3PB7SwCq7c3GiWypRKKz7Oxxl419vRz7OtT8YXsIjucFNE6Yxv556W9MP+uQWhqyMAS+2wkMyY1Gaxr7N1/ZlSiLTPRxgc6jViCJ5Kdod/zq2qD+lR8F5xmX/26E1dNWxjXuV6ZwR3LcLKtxr7+9xZkmzXPi9T3Bh0dzuCosJigYQfRHNxWj1i2ofzOMSyeJTOyMvw4qnm4G71Thn08NfZNCup04WBIwb6DcmSQyoarNfYDBgyIunD4fD5MmDABEyZMsDwnNzcXU6ZMwZQpUyzPKSkpwfTp01MR9ZAjK8OH2qCC7ocVh48ZVoTq2pDjzfOMEftEI5xHNS/UOqznZvlRVRvC1vIqtBNmTadDTlXWVBAV23N7tMLT9ePn1u1O3VgVHzv1fSqqA/hla7gJkOqsyczw6ZT46kDI9cZfVl3xfdB7ymVZ+CPrweu+F5Xo6kAIGZLUXZoZyaLDxPXoIyJT793OIrBSciNT8es+c1lS8XWlOD69Ya86FMV58OrZ2Zl++Hx1a0nduMb01mAm4kD01e8LxjpQNzqly5qKb8xussJYY+8WOie5YS81Oh+qAiHddXdrfOi3a+rS8tXnwgoZ1s94qAmGoqa+25Ukpe4/jQzR+Ud/1930fLEcc1+apwZFwzg9Kh40ndm1iH18Osab15yIXg/NAgDskygVPyczQ9Pd91XVojjf/tp/ryHHCk6kQ+ySrGKsUTxYGww3zwvau5GGPXn6iH2iEc6//K4bTmhXgv/8oR+K6+vujY1CUiFkUJKTQb3kHYWZ19cPPAq3DKrLnti2rzrlkXdmXfEvff5b03Oz/H6dl9yNSGNjw+KtGnWKYW+sU6iEv02SVC1j9FFV8sU53NWBoHPpwjEwM+wz/D5tww1IEHEypt67nUliadgblgHZ5vCKn7Xfrzea1MadorIcVr58QvPH9P8tyTy7xRa9VADnorhWcgeCCqpqg64b+ED0dFw3m5GJiJfRuJcasy+qa4M6R5/bZS7GSTZGZJtlb0WsEkv7uuLX/V7xef7zGUdj5PHmY6d9Ph86ldXpS04686Ote1aZL+rxdEw3SgRt/GqcamlpoxycdnRdA2KnZI2neR4AbfyyLFlvsiHHCk6kQvSUixuq0ZNfGww5l4ovRuyzxIh9Yrdw98Ma49/X9UWvtk2wbV9dE7p01tkbleRkmH51HwzpUoYpo3pqxxrlZOKPQzpqivZqk6kFiRAyMX6XbNhrem5mhk+XoutGA718Q/qdVY29kUTSee3EaHSKyr36t5QfrI06v9VJzAx7v9C/oFaCcozIGnt3ZbK+1fQfar42YcKdbJL/LN6ICR/8rN2T4nXM9Pt167y63hyoCUY0rBSzp+zosZLMsxstelPlUBTXSur91QEc//AsDH3yS0fkMBLv5XSzz4eI+PnHjNjX6iP2TmXDWGWcRnMwARJkb8R5M8S6jnZtr+pa3rRReCJQrGBGUV6dsedkxD7aumdl2P+4cS8A4F9frrZDJEvC41fjf77VgEo6JjHFQzxz7IFwGdjW8iq7RfIkNOxJBKKiFy1iHwgqmufc7o1UjBLlCgtmKsGFC3sdBiC9Cp8uYp+kgtTvyKZ47rLeKCvKjXitXWk+AGD97gPJCViPLhU/hkGkGnOqQeJGCrFRxLm/7cSeypqI48Y0M0ns+ojIhnhvqC898MEy6SP2WfVyyxGx18vodnaGlZPJuAyU1iuruypSn26RDOPf+gHT5q7FFyu3A9AbGVkZ+lR8sWZ9f33tqrYWQxjXaIPRbJblevOgDpEHBaIZVHZkFahs21elOUqsjKZlm/dhf1UAa3ZWut4Pwu1RlfEgPs8RNfYRqfhB3TV1yonz8dKtpsfNxrSJLN1cboc4cRPvUhnrmbFrzVWfJbH8K1YWRlF9GY5TaeNA9HXPqqfH0S2K7BInKuonlYhaqmae7DngTENC0WkcDbUU9LIXFrgyQUh25NAiiVQELAz7y/q2Q2lBWNGrDoS0lJgDNo+eED15qUTsRVoU1xnO6Wy2oovY26A8HdakzrDftDdy3nwimEXsrVAbUGlNv2qcN+qMMr74zVr0fHAmvvp1h8VP1OG2Aq1itIN7tGkccc681bukjJap+H0+bWqD2xEnAAgasoRqAgrW7zrgWqdcq3JL4zKgOsjsXjNjoaZXitlWGX6ftqYDdfWMagM9YwMlvz/s7LUlYm/y7PY9IvpoU7NmWyp2GXuf/7INfSZ+hoc/qhtVGY6M6c8Tr5EbztFEnor//EE/CtiNJqTiYxwRsc8wpuKHXGmeZ7X/RLsPAeCPb7o3aQCI/16I5bCzy7BXP0txP4wlS379OlXp4LoarbeUlWF/QX1A6Yg09XWKl3ga0xlRHaWO1dhrTbKjyyg2RX3ww2W2yuRFaNiTCKyizmVFufjqzwO17ytrAppn2u60UtGTl58tGvbJ/041Ev3SvHWpiKZDVO7tMNLU8S8HUrze+oh99HMzDIb9gZoAnvniN9zyxveO1TVbKRC3vLFEf8BwyWWILANh+Uf1ORyX9DkcUy7uaXpepizN80xKa/y+8DMjQ/MnY439rOXbcOpjs/HvRe6MObRunqf/TNV+FXbNf4+XzfXOQfU6ZmX44PP5IkZMqd+ryl04Yi+k4ttYY5+ty9CK/nz0OLyx5Wt2GXsPflhn0KuRI1XuPEP50E4hQ2PiR8tx8b/muzb2LNYq06ttE0w8v5v2ff/HvnD8Xo3mJDcaTVWBoO75S7UHTbxYGSCqM0xW4jXIYz0zdt0Sqnx6wz66LPla4MHBGvskUvFV/dXuEdFGxEyreAlnaTrVn6Tu/1iqs9jkmURCw55EYBWxB6CL5lRUBTTPdIXNhr0YsRc3zVQi9s0Lw/Vb5WlqDmLsMJ1uctMU7Ys3Yp/p92nKi1rvtmHPQfxlxi94f8lmzIkRMU8XOyviTwUT/xwZasGBsJLas01jPHx+NzS2aK5kR5ZHMphF7H2+cKM/Y0d6N7Cqqb/v/Z8dlqQOq1stonmeUNLktHIn8vinKwGEP0u1DCQzw49r+x+BET1b48hmBSiqj9qoEXv11vD5bE7Fr38j0ZEbS+GLZlDZFSU3jlBVbwOzsVwqr367HvNW78KMn81Tue0gUcNc7DQOOO/MSyQV39g875Oft2GFA8q/1R5fILlhH3cqvlsR+2CkYR9rXGWeC5lQ6vrdTNAlVaymCYgBEicJr9vx6xg5mrPEmWsaSiKrgERCw55EoJtrbPKAHdmsLoVoUOcybQOzPxW/7n+fz4dCIaKUivH8u/qUKAD4ob6hSarom+elf3FK1wxs0QiJFnUXI8jq6MPb3gqnEabLIRKNVBS0ZMbR2IFZBELlhoFHal+7GcEVMbsnMvw+7X5wew5zRXUAN772velrbhnLVp+dUUnJ1c1/d7+rr/pZis/6nWd2xhO/71EXwVfTMav0EXu/z6f9LbbMsa+/B8XGmamsqXZlleUZ0q7V+yA3jnnwjs+yrieebTPTkA5nzJCxG/Htoj1DQGTzPAD4++e/2iZbWC7z47Ib9vEa5LtiONTt8ptrU5l8Pvzld93Qo01j3DI4en8NN0qcVMdHWVGkYW+VXaQ6IJzu6B7PKDkjqr7pWOPROJvnGXF7Io5s0LAnEUSL2APAm9f2xRMjj8W4wR0cS8XXR+zDDZJSSV3OyvDjlA5NAQA79qenkVU0Ay4dpMuwF42QaN2ns4RQydEtI5u+OJFK+t6STXGfWxsM6ZqYyZAyDkT3RN90WlhhkUVes2i43xe+H9wucZg8c6Wr72+GpW5h+MizMvza+uD2WC4gHB2zml8ejjDVrTlhJ6vdEfu6/3PF0qsUHLm2GfaGprJmcstAoitLlmEPczNib/zc1UZpKtWBYMSaZZykYgfWqfhyffbR+PJPAy1fW74lulM91lSaZAkKetTvjz8c791wEpoXRjYTFlENe6eiy0BY/zGTzUqtyhOcobNXbMfF/5rvSA+LcPO8+NdQNbvMuYh93f+xsgruP6eL7nunHA9egYY9iUD1fvl95g9Y00Y5GHHcYcjNytA803an4ouNPxqJEfsUDehm9enlO9LUoVr0NNtBujYvs4i9mglxdItC7TXRcTL82FYRv8cOhd5IIh9xVW0IRzVvpH0vQ8o4EL4vzCKOOZn+8Hx4STIMrJrnqTX2bo+We17CTrjWNfaR5NpoECdKrUnEXkRV7m5/+0d8s2qnpiH6xTn2Njj41HVJbEQWj1L64U0n44+DO0Ycr6wJ2hLZEcvT6kbFqhH72MadW09RPOm4ERF7h5154hoUrZwFqI/YGz7baKUQ6cLqfsy3aJ4nGiRuZmeJa1XTQvOyMCB2rwK7titNj0pg889zYba5uu6ZRex7tW1i+jN5gsPvihcXYt7qXZbZZ+lELKGKl3DE3qka+/hS8a84qb3uexkc5DJBw55EoCrt8YzeauRwKr4/jan4ANC0vjZqZ5oi9mEDLi2/LoLcrPSkm+lr7OuUDNVZINaLicpddqYfJx5Rovs9TqQ9J+Jhrq4NYmCn5tr3shjK6v1rdr/WjXCs+1zdjNiLopk1z/P5wsafm13xH/vkl5jnfL9+jwOS6LEM2Jt85namsEfDzLCNtd6LBtJlLywwjLuzf469qAjHs652bV1smbZ7wAalX5SvriFi3dexRp45TaJ2pNHR47QzT8zSMz5DPp8PP9w/FKd2bAagrqTFOEXhsCZ5tstoZXc2ysnUsgGPrS9hA4AuQtabm8aIeC/44MPpx5SZnhcrYGOXcyIpwz5NulEiqE1Dm5lE7K2a55k5/FZtr0ivYCYkk+au7VMOR+zjkVHUU2UoaZMJGvYkgkSMUzWC7FTzPJ8PKBTq11INjKc7Yq+l4tsWsa/3Sqe40Oq64isKaoLhcUHiSENjOmbLYr2y5IQhmkizl8qaAHw+n6bw3fLGEmwpT200YDoQs2DMUCNQbnXJNmIWsc/w+7Cnsq7mcv3uA06LBKDOofCP2b/pjpkpUOc/PdcpkTSsa+wjj4UNe2cVErPPVY3EGpvAqYiKaDAUTr71+XzhcXc2/B1mzfNSzdBKdZqIGTmC83PfwVpN7ky/PyKy7CWyDAqA02tTrJnWxXlZaFdaN/51676qCMeDE/Ja9Xxo37QAT4zsgXev74fzerbWjou19/e9v9R2+awIGbIh/jqyB1668oSI8/bHGAUcrYwvFRIJLqlo2Yy1TnbFr1v3mhua5x0XZTqH2T3jRAAi/HgkkorvUo19HOu8mEFEw16Pd3cdYhuiYhILNWJfEwjZGsUTI/aNctPXmKak3ojdXRl/1/VoREu5Tgdag5gUNy/RCAmFFByoDi+Mavd7IDIds12pfvaqXV1xRRK5ktv21TloRIdE30mfp1mixBFrBs1QN1Bxg3ezjt0ssuv3+bC5vAqAe53nzRTNnFRmXqaRRFLxVYPYccPe5HMNN8+zqLE31IqLTlZ7U/Hr319snpeiw9SOGdeiQVlRHdAM0gy/D9/eNRjPXHJc2t8zGRKthzZG7J0eMaXtpVE+81aN6xzN5YJDRcWtbLI/Du6IQZ2bo1lhDnoe3sTy/n1r8Ubb5bNCvFK++klD/eud4SL7YzjCzNaTdBDSIvbx/4wbXfFV55GoM409pT2eu6x3Qr/HiQCJ+vwnFrF3usY+/gZ/4v3KVHw9cmhERCoCMaKLImItmWgcppuwJ0+v6KXanVucKZ0O7G6el67Or+J+HAwpqKwfvZKT6dc5TjINf0fX1voGek7UsIvK0IXCJINo2HX9kyVWaqFm2AvX0820/OVb9kUck2ECjTpLXSRHkqioVdDFLONEXcP2xYiIpRuzdGr1nsuy0KKN11eMpDqeip+qYW9DxF50xgVDivas+3x1UeW2BmeoiF2GkSkJ1tga1/6xLy9Ks0DRCQl7vhVqr4od+6tx/avf6V5zYnKHcTkf0KkZbhncQffMi/evDGsoACjCpfFFcZ1XxKixt8t5EtD2y8Qj9k5M6lFR//72TQtweb92uHlQB9x9dheUNoqsuRe5bWhkDxC7UZepRDIg8xzOLBMDeLF4YHhX7Ws2z9Mjh0ZEpEL1llpFcESyM/1aN+UKG+dyik01fD4ferRpDAA4tUOklzkR0h1xUnUJu1PxU3WiiNGNdbsPaI6CgpxMXerr6p36bq3G6J0T4+TES1lSYN3oR8QYvXF7jFysTA7VsBeVUTdHyqmReZFMvx992peYnO0cphH7OJqUOUEiEftOZXUNKpdt3ueocWf2XqphGk8qPgAs2bAXgFpjb18TQG3cXRpT8e1orCU64AIhJcK5a1wzRdwovYn3CpoZAE6OlVK3lmhKvrpufvXrzojXnBglaJTNLMtR7FEhjWEvxOyjPVKxSiztun/Dz1D8P6OuE6t3VuKrX3fYIVYEqt6Yk+nHhOHH4NYh8RnsHcoKY59kE8nU2O+rCuDleWvtEUggmEBQsTg/Cx3qGyU71QPAK9CwJxEE4kiBE3Fi5J3R2zj96j6YfdsAdG1dHOWnYqNF7NOkBNidih9ON0vtWotGyMxl27B6R13zFr/PFzGXWSRifrDDimmTKIZ9o5xMbWM1pmZ9u2a3rXLFIta0BLMae6eV/ljPe1FuJm487SgA+skJTrJ1X6TDISeOeeFOYOU7MjOQDq+vDX5y1kr0eOBTrHAozdnMsFcNU2OEVsWqu7jfL66f6b1XRUecPpU5/t/xxjUnRhyzJWIvOOBWbtuPP739I4Dw85QfxbB3cipCOkzya15xLmofT7+aaNk6zqTi6783e4bEzz9adNxJxGUgWgS3IkZGkV3OZzWLKJGIfV5WWG/545s/pF0mM9TnN9GsMeO4RieIt+O8iLj2OlF+pyQoo6oP21Fi5WXk0IiIVKjKn5WiZ0SNIttq2Bs6ejbKyUT7ptYpjvGSk+amZfY3z0vTHHvh65KCbFw3vS6NcWdFddT5v8bonRNREdFgaholxe2H+4fi5kF13bCNzWgu+td8bDcxCp0i3LcielRUVEad7jwf63HPzPCjsF4hidVUyQ4URcFfP10RcdwqhdxprGqYzZYCsaPv/uoAzpnytV1i6TBr0qQq0VYZWlYN4Hzw2RaxFx0QhYISnIhSeuIRpRH3tB21omJ5w4MfLte+VmWVLmKfwt40a/l2x5wRwTjqbaNl6zhxbY3XMsMk66VJftgZLU3EXokvYq+u8wdqAnhp7lps2qtvRGtXIlwyepToQHFCLwmFFM0pmp3gHlSUl74+UfGSTD+kaGuXHcQ7x16lTUmdg9yJqQJeQg6NiEjDqu0VOPcf3wCIP+1RbaBXaWuNfd3/qdZYGkl/Kr69NfbqTOfaoJKS4iJu7GpnYZVoESbjQu9005Kmjawj9uI1N4tMPvzR8ohjThErk8NsA3XasI9nM1WfdbunYBjZuOcAej80y7SBl13ZMYlilaVsJl1pgd5B5VTZhfG5eOrzX7X7zCoVX+zkLeLzhSP26TaYxW7bTfLDhn2i66ox28COyI74nIpfq6JGc5Q6adinywjbVp6eCTKxiKdDdrQ10omIvRHjFBkAKDXsWeoYPDeJN2K/vzqAUEjBU5+vwv0f/IzhjjkgE9ejRL3FiZprcc3OifKMm2EWsbe7jj0ZHdqYDWd32ZgxgBeLY1rV9Xx6/qvVdonkSWjYEx0jnv4mYeNUTcW3U9lPpqNnPISbP6UpFT+Ohj+pIBqAqSjTYuBObMT3+IXHRvXSGqN3TmygovLWojhyXqwZZk3CdlWkZ/JBMmhz7C3TnSNvGFlG3wFAi6K6616YGzbsnexbMOWzVdhlMbnCak1wsh4YiFJjbyJf43znUzGByGaXj3+6UjDszRetsiLzZ87v82mRp3Q3ARQvZWMh4pmoYzfPoHD/7bOVaX+uxNtMfI5VWaP1qql2oY9GIlfQrMxl70Fn1tFwiYj19YumoziRWWA0dMxSx8W+MPurArj/nC4A6horuoWqT8XzOL23ZBPmr94FANhVWYNn5/wW4ydSJ5SEYS/qLU40nhXLjxItBysy+ez3xWhUmCrhaHj8P+Pz+fD62HBJ036HZIx3nVfX8l2VNa73UZIJGvZEh6igxW/Y1zd0s7V5Xt3/qaQRmqEuyOmKOIVi1FKnSnamX0vnTmXknWiEiGnVAzs1Q+eW4c73717fT/dz+Vn66F26a2vNEB1G6nijWJh5lu28P2OhpkBbbVhmdcxON8+LNkv3jK4tAIQN+2BIsaURmRXRonZW65TTnXLVW+7oFoU4QigTMvvM3TLszZvnRTegWlgY9lkZfhTn1Rktew/UpNWRIsopGkBWWQVWGJ+rDbsP4i8zfklNOAOiQim+Xzzj5RyN2CdRZd/9sMgeNn9660dHjObwtAbrz3zQ0WWWrzkRsTc+2mayiuUC2Rl+7Xs3Z2+rt2w8T9PGPQd1WTuTPk7v82NGMhF7oxPPbtRnwO+Lv2xVpdAkC8ps4kt6SbzGHgD6HlmqXdtym2VUEozYX3piW+3rWKMZDyVo2BNL4n24ClyosU8XqtJYWRNMS+pzbYx61XSgppylcr1FHXzH/nBqZVFeFsqKcvHC5b3x4LnHoOfhTXQ/p2ZnqDhhPKkTEADzDdEMMwPmu/V70yRR4qg2c6xxdyKxGhelGzMj4w8DjsSfTu+EP59xNIA65Un9G5yss4+m3IvOvuxMv6Zs21kaZIaqlBzRrADPjwnPMTaN2OdFlpQ4EXEImrxHIEYqvlWWTHamT1s/1+ysxAkTP8P97y9Nu5zZQjTMqizACrNMmHR3zBaXGjHrYa8wduvyfu1Mf9aNdPFE9PrJF/XEqR2bYfixrbRjK7btxz8+X2WDZHpUR2M04y4vOwMDO5lPxnHi2hqfDStZn77kONw2tCO6HVasG7HrVpQxnrTssae0B1AXpbVqoAnYk56dTEmjnTqXGeGO+BkJB5zMHNXlB+3dT5OJ2Kuo6/w+22VUM0niE1LsuTT1qzW2yORFaNgTS6KlwImoEdVnvrAvRSvRFJ14Kc7L0pwFeyxSfRNBVUYS9eAmQnF9tG9vCvNaRYVCjQznZvk1xfS0o8swum+7iJ8zbp52NKMyoqbYHXtYcdwLvpWy4XTd+rLN+/Dpz1tjNqQ0izbscXAeL2DuXBh1wuG4YeBR2mfg8/m0Onu70/JEoqU6ipc0J9Ov1TQ7naGhRqx98BlqLuOL2DvRr8I8k6XuGbZSjIvzsnD7GZ0ijmf6/drfsedALXZWVOOleevSIqc4Z/vwknAPkERTXs/r0TriWLqvs5j9JK6HYnRrWPeWpj8re41968Z5ePnKE/D3i3vi6pPba8c/XbYtjZKZo0ZtYzXHNCu7AoAFDkxCMb611fp+VreWuPG0usauorPJDccOIBpQ+uMnHlE3znRw5zLNmNtfFYj63Nk56jJZPcqJjCj1s8tOcirLs6N74e6zOqNr67oMSbtT8cOj5BK/pmrJ1Y4KexsQp6Ln/7y5PM3SeBca9sSSeJtSta1vvpbuNHmRRMdgxIvf79O61u4+kLphH6teNR2U1Dfesqo5jodaE2WoUU7im2GlA8aTqpCq3vu5d5yGD248KerPWBn2BxyO4v7+X/NwzSuLtTFt1qn4kffL7jQ4mhKhVXFkmUObkvyIY2o6frrrqqNhVecN6K9pdoZfG9foeMS+/n+fL3aXZNMMDQdSCY019kB4HTFr/KVyRb/2EceyMvy2KdBixL5FUS7evOZEfHjTyQnvMdcNOBJPX3IcHv1dd+1YulOgxaVGdHaJvUusMg3cmWOf3B46vEc4au9EGrm6l6biJLddToO3JJ6osZia70QpmxnaWmW4F964pi++vWsQnruslzaNYuu+qqgd1e1Yt4JJ6ntvXdcXQDiL1E60UXdJGvanH9MCY089QmukZ3cqfjJ9C1RWbqvrOn/ja9+nVSYjyWTmnlu/Lq3ffcDxpr6yQsOe6BAfqOVb9sX1Mxf2bgMguXEa8aJFw2zwHajNbXanoblabRx1ganSrL7L7obdB5L+HQGTyLVqsCWCM8aTPj2rVeM8dD+scdSfuPiEw02Pp9KXIFEqqwMR6epWm6pZxN7uejYjxuf3hHYlpueFp2DIsYmK1zQ706+Vixx08LMG9NEGca5xMErvAhEnrqdpicq6PQCiOyPNHE85WX7bGoCJcvr9PvQ5ohRdW0fWe8ciK8OPs7q1xHk9W+uOpRMx+0l0domGfaMEDPv1uw6ktLZbkeruLPZacNIJFctYjlZbbXe5ULwRe5GsDJ+mH1S41PclmpFXVpQLn8+n6QNfrNiBj37aavm77LjGWsQ+QT1KDdI4kU2mpeInOMPeSDjN3eaIfQqjmI9uUQhAv6bZQTKd+49o2ghAnfPh+le/s0Msz0HDnujIT8LTqY4g21VhX2dKu1LxAaBJQfoi9vEqI6nQpVWdgrtyW+Tor3gxi9xZKZ9GWhY7q+Al0uhHZUy/dnjlqhNwnhBlAuzfmETE3gUqVreFWQTXyVR3IGzYD+zUDB3LGuG++u7NRtS0fCevZTTEiEl2pl9bw9yqsfcbIvbxdmh2xFgycTIsqjfsoynRPp8vwoBqXpiDvKyMhGc4x4NikSqcLNmZfnx8yykA0u8ws3Joiw4dy4i9wcFaVRvEsClf4ZRHZ9t3PyR5TUuFetadDkwYUe/VWE7yI5s30n1/SZ/DUZDtTDmOUd+JJxrq84WzBNNR/pcI//1hMx75+BctGyKavGYj2cyw07BPVN8rErLJ7O5foGZbiBkYyaBeZ7sd+eGRu4n/7OMXHgsgfh0xWaxKRKIh9n36cmV6+6d4FRr2RIeoJFs1/DGiNrCoCYZs60xpV/M8AChJ4yYbrzKSCu2b1qVHb9xzMOnfYdZxPd6Mi0eEtFYno7aJLPYZfh9O6dAMw7rrDXsnegKozP1tV8QxK0XFbMN0Oq1MdZ5ddMLh+PSP/S0jpGrzRievZTREw9Lv82nyOV5jLzT+EWWymm5w2tHNdd87GbFvVxpZYhErki1OQSgtyEZhbhZ8Pp8t6fgf/rgFQPpmrwPhspKK6kBar7VVQoa49lgpxJ//sh3rd4Wj87sra7So/+a9ya/vZqRq6GT4fTi2vkv+YU3im06SCuFxd9EX/hsGHoURPVvj7xf3xDOXHId7h3XR1tn1NmQ+iERE7ON0cqlOkr9+ugJLNuxNs1TmKIqCm17/Hv+c8xs+/2U7gOj6lFkG35O/P1Yb16dihwM62Rp7cTTm9zZf11RT8VXUnkl2l7aFr2ni8qpNIitrArb2KUomgJdMpmlDh4Y90SE2orl+4JFx/UxuVoamuOw0iVKmg2RSdOKlRM04SINhH8/s3VRRa+FTiZiapeLHe237d2yGxfcM1mSwoyuuiFU94IPndY35s00Lc3TfOxllVmf/iljdF2YpzU52nQdE51n0+yAvSx1v6dy1jFZbLTYvCimKYNg763hQH6kMv0/Xn6Taos73iZHHYuqY3tp4SSf6VYjdptVJByqJKNFqBAcIp7+mkymf/5r239koJ1OL5G5P4z5l5hC948yjcffZnbXvszP9eO6y3rj21CMizh378iLta9HhYFdqbio76JO/7wHAmUhzvNlvjXIy8cTve2D4sa1wZreWyM3K0AIMo6cusFVG4ycf7zOkljnOXrED5/3jmzRLZc5Pm8LNxTbVO42iXdvGJs91n/al6NVWPynHzoh9ovXg4l6wfZ+9jd5qUmyep6JlGTiUip+MatokPxsZfh8Uxd7eP8kE8KL1hjpUZ9vTsCc6VG/cl38aiOaF1g2rjJSm0Tg2I9ExGImQ1oh9jNFR6UCtd02lMZBZevCtQzvG/fNiaqndBokStux1jD6xLcqKciLOFzFGypwwnlTMlBKrTTXfJKLnuGEfim9TdSMibtygB3cOz68WFStFEcZvOm7Y16e3GtYoq8yLxvnZGNS5DMX1HYcrHCgdEKM2Y/q11b0Wy4ASx4r1PLyx9nWxIWKfDkffoPrP12hEpIrahHFbGpV+o2E/6OjmuK7/kRHlNUO6lOlq/VVWCCVV4r2S7tTcdOi4qqO0siZoe8aOE9lvqWJcl+KtCbc7pdmMTUKGn+rYiubEVXU6kZbFuWjftEB3zM6IfTKN3gbVZ0LZPVVGzWCK1uMhHory7E/FVxQl3IQ4CR06Q2gyvaXcPoeJVs6WwOfeyCJiP+GDn9Fn4mfYaqO8skLDnugIe8kTe/ib1aeW2fUQhVN00v+71Rr7tETsU0h3ihd1I0nFsFfTyC7odRieHd0LP00YioGdmsf4qTA5mX4tOmF3CrGiNs8zec1sHriIMU3LyfRxs/eyUlQON+k+P2v5NkeNZ+0Zi/GQac3pHLyWRmPx2dG9tK9FxSqkKMivl+/tRRvwj9mrsHnvQUe6eGsRe8PaGWu8mpPNCAOCwpyfnalripcdY81/+pJeeOu6vlj6wOm6aF4Tg2Gfjk7vqpPp9GPKYpyZGM3qDdP0Gvb675tHcTbGMuhEw96u8Vep+MYLczI1R9rOCnuy81ScyH5LFaOzJN6I/fgEnOjpQtRvltZH76P58swyceqa6mVh9m0DcFy9c8+WiL2S/Lg7dW3ak4aeSdFQn1Wr/hnxojXPs7Gnjrh/JuMsAcLP+w02NqhTy5oSycxtlKN3rKjBtWlz12L7/mr83YbsL9mRd8UkjqMoCmrVOewJGvZqzV266wJV4k0TTobSgvRtBLWB5K5fIuRqhn3yCrTa0bUgOwOnH9NCG20TLz6fT9vQbDfs1eZ5Jpe0RXH0rBKjIu1kerZZLZqVt9wYBVG59c0f0ipTNBJNxXcyIm6cVZ3h92lOvgFCJFlRwhkFP2wsx2OfrEC/Rz7H5S/am5ILhCP2RmU01qxqp54jILLbdImgvMfsPp6dgePblUQ8U8sM01PSMde62qaxoWrEfvs++1LxozUdM3tNVLTFKGO5zRHHZPD5fJoTf4fNhr0T2W+pYvzs49VPjmimb/jnhJP06193al+vq+/rEM1pkuH3aY4wAPju3iHa1+2bFmglROmuDQ+FlJQi9mrPD7ufH3W9TjX7wonmeeL40ESi4SJqycAmm3R8IDk9v7RA70g1Oppkmd7jJDTsiUYwFE7XSbTTsboB2OXFV1KoD4qFFrFPQ6ffcPqgfY+WloqfggIdHtWSfBqZU/PMrWrsAeDBc7vi5KOa4uUrTzD9WdXIUznoYATcrGlaovfFjJ+txwylm2CCqfhOXsuQSXr3V38+Dc9d1hunH9MifJ6imBpP81fvtl3RC1goozUxnlPVsHei9GLV9rp5xD9urIvYiZ3Ok3VGbtitV/RiOTLioTZN9atG1MyYhz9anhYHBBAZtS2KMgJQTBu96uT2AOqeu731TuVdwv6Z7nU1PF0kNUNZ3eP+8vEvqYoUlVSy335fP4LXbExjOkm2uqHIkEnW5f4Zac0iMcNsL4l1ab+6fSBGHNcaz1xynDYWWEUNBqQ7FV/cN5PRT9QMIvsj9nXrR0FOqqn4ao29feu/2OAzmVR8AHjlqj7a13b1VUomM7dd0wI8KjR0Nu6jdjb7kxUa9gQA8N73mzBt7lrt+0THtamd8c1GfKWDkBa1tbHGPg0bgZqGmmqn1Gio41VSSS9Oh5ylaXSIRCPa6KvDS/Mx/eo+OLVjs8gXUXe/PDD8GO17JyP2ZiMF87KtlYBnLjkOh5fk6zYpu/n05624852fUFUbjLtBpfo3vDRvnd3iaRgj9gDQunEehnQp060JIUVBy8bmHbs3l9sXaQCs5wTHMnTV9cfOpkQqD3+0XPe9WCuflaTX9LEL9PdrOsoeam2K2Pdo01j7+r3vN6Xld0ZG7K0jeKLTR8zSURttiuuTXRG8VLfQbfXZDt+u2Z0GaaxRI/bG0pZ4GNXncACR0bx0Y/zs43VqGZulKgrwioPrqUosIy83KwNPjOyBM7u1jHhNdeyn2yEpXsNkRmmGU/HtdeQeUFPxkxgRLaLeC5v3HoSiKJi7aice/t+ytJQ0qYgR+2RT8bu0KtK+tmttUpLMzB15fBu0qM/GMpY0pPM6egXOCSDYvr8K495cojuWaG1TU5vT82wdd9dIbZ5XC0VRUnIeqOnxZnPJ04WYij/vt13oe2Rpwr8jHaNa1GjfLptTMlNlTL92WL2jAi/NW2drHZtKVW0QmX6fqac42vU+s1tLnNmtpW3lLGZc88piAEDb0vy40+CiRSTtIt5RjIoCHGZh2NttOAfrHTmqIdIkPwt7DtSiT/voz6daTmJnUyIrOrUo1L5ONmJ/Qa/D0KVVEX7/7HxUVAfSErFXo3bpdpD2bhduxqdmL6RKhGEf4/m4dUhHfLpsK87p3gp//XQF9hyo1aJ1dnbFV5KOL7uDGhXMSmLTb6QZnfau98ZlKd79xewesTOyKDb58/vCgZJU9BTVgbVi6/4YZyaG2M0+mTIMtTdA+YFaBIIhbN9fjVYWe0IqqI14U62xP6xJXRZRIKSg/Z0faccPLy3A6BPbWv1YQogR9mTLWbMy/CjMycT+6gD2HKiJyOBIB8nMsVcpysvE1n3AQ/9bhjeu6asdT8d+5DUYsSe6OboqiUZKWqrK6V67m+fZF7GvCYawM8Xoc7pmm0ZDjPpe/Nx83P/+0oR/R3Wtqjgnv7GXprHpYDyk8tE317ph2+uEqAmE0HfSZxjw+Bemilo8TiM7xofFYtHaPXE7z/oeUWeoOjk/9qOftsR1XjCkoLXFjG2771NjxP6DG0/Gn07vhPsMc5+NtGpcd29u3eecQ0dFVSqB5KPjPp8Px7Qq1u6HtETsA0pKMlnROD9bi+a+m66IveExj1ZjDwA3D+qAD286BcX5WVrDUvXeFCP2tjXPS/HnHz4/PGbUztrw2jjH3ZnRuN5w3l8dsDViJxrM2Zl+XHz84XH9nOk9YmMrAdG4OaZVsfZ1Koa9moovjtFLB+I6nUyQpbGQin/3u0vR75HPMe+3yNGzqRJOxU9tH7T6DLamMcNMNOyTaUioopat7rWpzCEVPb+y/vOYv3q3bu08FCP2NOwJ9hpSlvy+xNN12tTXLm7cc9C0HjZVkk3RiQfRUJ5oSFVNFDVin0rteixyDU6DZFKiwzX2qUfs7Z4Xm47aUDvGXJmxfvcB7DlQi417Dmpdcyf/vgcm/76HrvlQNMT70U4HkaiUHqwNxN0Vv0gbzxaw5Vk347cdlXGdV1UbRGuriL3NmSXaM1XvLGtTko8bBh4VkXZrpEVRnbxWE0VqAiHbSpzaCE6QVJuUpaOpp4oasU8mFTcW6jisnRU1WnfwVDCOPFOfj3hQI4nT59et4bKPuwOAS/q0RWG9MbN+d2RQIF2k0jyvpCAb2Rl+KEpdRqJdqNf04hPa4Lt7h6CdRRNUI2a9I+xs8iUa9oeXhp15xh40idC1ddhBEEhjtoFawtaheaMYZ5qjGva/bq/Am4s2AKgLgKR7YlOlloqfuq73p9M7RRxLtKFxNHQR+1QM+/prm2oAzAotuJDEsi/aLGI2FmvsySFHMKTg6pcX6Y4l4yFvWZyLTL8PNcEQttpgPKWSopMIv6SYVqZGq+w0yJL5fIyomQWpKM5qw8SV29KT0mqFNu4uhc9enXdvt2Evfu5qjV/zohyc17N1Qqlrs28bAKDuvjcaDulCNMAqq4Pxp+LXKxyKUhcRc4J4m6gdqA1aRlDsTsVXn/1EG3ap2U47K2qwee/BCAX/she+xYmTPsPqHak/ZyOOq5ujfnm/dgCgS1FNtVZWvffT0ZROVcbsmC7Sq204HX9BGurEjb6tWBF7EbVuddPeg3h2zm+68ZZ2NdNKR58a1YBdtys+h1sypNI8z+fzOVLiIvb+SbQ7+tQxvXXfGwMs6aS6fm3y+4A2QpZOKjPYxR4Re9PohFKf/WSzCVoVmzt273jnx6RlMqMyTePuAOD6AUdGHEtnPyB1b0+2vl5FlenaVxan1ZmjEm+fHzNE3eud7zZqX5s1MW7o0LA/xKkwUeZykjD2MjP8WgqsHV58O1PxAWhRvj7tS1L6Papn3M4aeyNHxBklEElHxL5zfX3uvNXpT3MTSYdd28KhVHyx3lZtxpiM86R5vdOkNqjoonjppFIwIiqqA3Gn4ov39rNzfrNFNiP9LZojGlF7fZjVJtqdil+dZH+NxsIc+H6PfI6e/zdTF3GYv3o3giEFs1fsSFlGNb1ZzbASZU0lRRMIZymlI2Jfa2PEvnF+Nq499QgAwKo0OEuMNfaJRNrULv0AMOnjX7R0UsCGiH0af5ca9V1nUsaXLgIpOndUh5mdPUtUp3Myj86gzmW67+2cLiNmE7UoCjcUjNbMNRYZfp9WZ5/O1OzqFCdiNLFwoG/ak977QN0/Ux13B9Q5hoyZZunssaGND0xRf/5V2JdufO37lH6XGeEAXuJyiqOPp89fr31tp8NMVmjYH+KYRVeK85NLAWpbap8X387meQBwxUntAKQ+ri/ZqF0qJLNWp6PGXkw7TEdKqxWKEBVJlrL6Rb/8YG1aaoCtqBU64atyJ5NhUZCTaXtGxAHBiFi1vUIbW5aI8+zpL5wx7GOl/P/nD/1wQrsSvDDmeADAg+d1xYc3naw7x+6I/cH6+yrRKJjP59NFkWuCIQx+Yg6mfbNGf17qImqROzG6ce+wLji1YzOMPL5NSr9bLRFKx/MVSKG+Oh7USHk6Gn+pt2a70nwM7NRMyw6Kh6MM6caiMS9rjT0Qdib/lgbHiBXqJIxk+yyogYbPlm9Pm0xGtIh9kldVLQsB0t8sUUTr/ZPlRwshop1KKj4QNqLT2YG+NoUSDJW/XdQj4pho+KWDyjTV2Ku8dOXxuu/T6djTRtmmuJyKU0XsGMWbip5/Wd92pse376+2LetRVmjYH+IcNFHCrFKZYtG2xD4vfiopOvGg1mBvT7GW1Vhn6wTJNDBKR5O/lsJG+cPGvUn/nliE59gnT2FOpmZwpbvWTsRsvmuyUceu9cbHz5vtcZpUWsyhjyddT03lBiJrjO0gGOM9erVtgn9f1xfdDgvXfR7Tqgj3DuuC04+pi4zZPZZRK8NJwqlnVk86+bNf9U2P0pCWbpZRdNXJ7fHylScgP8WxTeEa+zSk4ofsS8UHgCOb1V3vtTtTd0Kr9/+/LuuNF684ISEHZG5WBn6aMFT7XiwV2l8VSOu86HQ+p6pDwk7DXivHSNKb36msLqPsgx82p71zu0aKAYdHL+iOo+sz39bvPmDbhBltWk9mhs7AbZxio9bGNozqTMeoy3N7tMbFJ+gdlelu9Khm0qXqHFFpadC702nYa6n4KerPf7+oJ84WRh8u2bA3pd9nJJXM3CFdynB+z9YRx2sCIdvG88kKDftDHLNREB1bJNe0pK2QnlcbDGHuqp1p60ipRuzsmGMPhFOfU20E50bEPplU7XQ4IHw+H37fu27ztNNYjjbHPl7Emks76+zNGrUkm1Kodi++7/2fU5LJCqsavniu8x1nHq19bVctsEgyBo7P58NVJ7fHlSe1B5B6Nk4sko3YA+bpo8GQonO8psOpaefUDnXNS2fEPivVEJMFair5rsqalJuWpZpNVpibpTXgMtaD77Gj+3QatlDVMZKukYFmpJq1oWYQAsDpk7+0JSU/lGI2WWmjHEyujy7vrqxBr4dm2ZJRJkbsRYd8UYqTTdTmm2vS4CBTqdF0k9SefTVYo5LukjZ1jn06UvGBusj/PWd31n5fOo1RNZMw1Rr7w0vz8Y9LjtO+f3TGLyn9PiNKimvpeSaGPeDOKFk3oWF/iGNmeHc/rHFSv6td/Ua6fOs+vL5gPUY9/y1ue+uHVMTTCHvy0vLrImhab9inWof7bX0zJrsj9jeddpT2dWVNMOFoTDpq7AGgpFGdQTJz2baUfk800hGxB8LOGzuaO6oETAzQZBWUw4SO5Rts6Fth5YyJZ/PPzcrQlMIdFfZvmqkEG9Vn267O8ipVSdbYA0C+yc/srwroIo3p8GlqUztsMOzVdORn0lCeER51Zs+CX5SbpUXaUs3SStW4A8znmgN1U2bSRTrzao5s1gg+X10K9q6KagSCIby/ZBM2pdF4DtRnbSQzxx4ABh6t78txyqOz8fWvO1OWSyQdjV3VviAqdqz11cJzL76f2X6VCGpWxMo0ZkSkI2IP6DMKgfR2cg+FFFTWpDcVHwCuPuUI/OuyXgDSa9irzqJUeiqI/KG+2V+qa6eRVNdSq35Tby3aaHq8oULD/hDHGLG/+ITDTdNZ4uH49iXIzvBj9Y5KLcr4wQ+bU5YRQNwdu5NFncGc6ggvVVlM1RMei1uHdMS8O08DUBfZS7SDqlmtbTKoSoK4Ce+vqsVny7elbRRaujZ6NWK/3cYGemadYpO9xmJzJTs8zlaKQ7xdqNUeAOne3M1IJSVZlXN/dQBVtUFU1QbTkoJtJJytk7jyNKBTc933pfUR/Hm/hQ2RQDD158nO5p5qE83NabhXNaPOJsMeCDv6vl+/J6Xfk469ydhJ/5j6Mpx0NqINplizLpKXnaHNip8+fz3eWrwRt7yxBAMf/yLl362Syhx7oM65fsug/2/vvsOjKLc/gH9nN8mmbQLpCQlJ6L0k9CYg0kRUFAsI4rVc7B0FUbABegWvqFzEgogKwg8ERYgCobdQEnpNCAmQRnpPNvv+/tidye5m03be2bBwPs/D85DNZJgNszNz3ve857SVvq7SMzz2/SEuxyaSu8YeAHws0uF5Do6ITDP0TAdu5Ra6bGdcRnA+g19gL7d4nshyxj6nuJzb0pYik2VsWs7PemJ7VEUCe07X/acHG4uPZhZxzYSTey0N8zHUObF09Ir87ieOhAL725zpjP0P03ph/oSuNt/4vd2cMaSdX43Xeaztk5uiUx+tprqFV4mNqXAVOr0UYLczjmQrRRAEBHm5Sg++jS20JI42y73Q92/lC8D8YeSNtcfx5IojWLqbT2E1OTOhpsQbvb1n7GubjauPv1aD3hGGompp+Uo87Fk/zxu6ptXfTjPhgPka+7Fdgxr1s1qNk/SQmFVYjqd/OoKhn+3ECc51IeQ8PJnWBgAMa0QB844TPPrxKpmK/964Ttz2JaVhK5SKD1S3+nttzXEcvWJ7cF9d/8X2YzENjH57ph+6GJfhvLQqntsss45TOq5IDMA+33YBh4znKa+ld6b7kjO48+zQ1lJHFBGvAWfAtLCr7fuw7Cs+bflhGUdkneUSQTH4eahXqKz9ivUBLmYWcQuaxQEduQNQphlvgGEQhlcQmm8sFujipOI+SCoF9iWV3OpilMoYdLbGx8NF+r/fxGnyDuCTmbvggW7S3we3NcQjx6/m31b97Cmwv82JPR6DvFwxvENgPVvXb1y3kBqv8WgzxSPdsS6uziopoCm0sRqxOMIqCLYHc40hCII001NQqmvwTUCvZ9JAgK0dEERiBeic4grpwvn3aUNa/pIdfAL7zSfTAMCsx7MtAr2UX2NvOavq6+Ei62Yq9hy+nsf/mMUH8weiQrFsSrT0ekPTn/21ht+nPQJ78WFcrRLw/LA29WxtThAEKdj++eAV7DEGSj8fvML1GEtl1tf49am+cFIJ+Pzh7tKM7b5L1YG9tXoojSWl5CowY9/H2CrU1Vkl+4FUyT72ItOZtl8PpdSxZd2kitMy7k1DjYGWh4safVv5ortJ9Wles8ziccptayh6a3R1nQ0lMkDEz5Ocoo6uzmoseqi72WsZhfyupUoOlPFkWVPn26m9cOzdu9DK37Z6SqKw5u5wdVahQqfn1g2JV4ZemwAt/vNgN/z6dF+08jcuE00rkH18QPWznrcCz3k+xmytiio9t7oAYuFAnp/Th4z1lcTnPR4Yh+ynQC9XvHZXO0T6eeCDe7tIr7d9Z4uiHZFuJjf31YgoThwV59UKZESnmoMDPIrWVHEooFYXQRDgKabj29hPVuzl6u3mzG1WpD7iAMLmk2no9N7fWHe0/rVEhWU6aaZB7o2pmbuLNLp6/5J9ZiPivG5K4mzaNplti8Q1d5tOpGHOxlOyj8sasZq3aPodrWXtT+w3vu1sBvfq89VBngoBJrNaDX2gCmiCGfslk6OkooKNIT4sfrM7SXqN97IesQibrWsuB7Txw6V5Y3F/z1C0Daz5wM1zxl6J4p6+xnobZZV6xF2Wl/oot9VZQ2SYLMmRc7nWc7g3ff94b7w/vjP2vW1YXiUOkoh4VPQWlzfwujdN7R8uDY6YLhXidZ2qXhcs7xzoa8wqE/Es9MYrm+yTB7qafV1bNpWtLAcgnNQqKYCUQ6USpOxEXp0HeBXPA4CJvcIwoLUfurUw3DNOXOXTYUaaGFEgsHd3cZKWdPKqC1Bm/J3ySsUHgC7G36lpVplcPK6lAPDSnW2x442hiLRYc//5tgvyduwgKLC/zYkXfLnrmUSeGic8MTACHi5q6aKXwWFNcxWn9Ky6iA8pX++4ZFNaWZ5xFLeZHWbrReJa/i+2X0RpZRVeb0CxQnG02c1ZLbvIn1olSNkUp64VoNdH28y+zzM1Uy7TWbAVB64o0qatymLGXm5xwgeiDKmSR6/k4rlfjsnalyXThz0xrR5oeMAr/kxqbgnWHknl3vrGlHiO2dqu55en+tZ4jWeV5AqdXkoh9ZDZNg6orjpu+W/IVV1Ei/8Mq+nM6m9HUm3eD2OM++yyNaYZEKm5tq9l59GKVa0S8PiACKl9WJsAT/z2TD/p+zzWXfP+nQqCIPW13nUhS3pd7rptUSmn5WJqlYAzH4xCnwjDYMlJTsEdwK8LzsO9W+LU+6Okr1Nz+C694jUAYY2Ykh2XzGcdM48+9pbEgtDHOd2jCozPUErVUhJrF/FaOlBWwX9A1/SZoc2szdLElhzivAjPQfd591cPmn2zK4nLcd7sKLC/zfEcHRW9N64TTr0/SgqkeBQB0dnhQU9cZ78h4TpWxTU+NTPXuORAbm/YxqiwoaBWXql4nHwGIOq6ActtJcVTi2bma+4KbMzMqIvOYsZe7oNUS193jOhoKKy25VQ618JKpumZfp7V52xDb/5iBsTmk+l48/9O4L6v93Fdv2rKNBXfFj1bNq/xGs8iiqbLRNw18h+ePTRONWYbeMzYlymcOvxYv5Y271+vZ1i2OxGrD1cPCthaOK0hTGsCyAmkqhQq7Nq3la8UNPH43OtkfoasGd4hoMZrja33Uhue64LdXZyk2hzbZWZ+meJZlMxT44ROwYYlOLyLeyq5ZEC8tiZm8Tnmch2fVHxT4rNoQmoel3uU2OJViRl7ANL9+AanbDjxus+rKj5g/jyl0zMMXBAre59KFMme1NcwaKY1ZtIdTpZXLNURUGB/mxMDexeOF1FBECAIgvRBklt1GACqOKcRWuNpMvr6Scw5ZDdytFSasecUMDeEtTVj9c3s8V4fVld7RJ5VnS2LINli4cTq9ZbXOLaSElmug46yElA21uJHe0p/5zlrb/qwp3FSY92z/fHr032hdW3YeWFtVplnJV9T0jpmGZ9/y4Ednmttxdl/FycVtwfSTS8OMvta7ox9lZ5JWQVKzNwB1eeELYNmey7dwLzN5zBz/UnpNSWr4vdv7YuDM+8EYChOaa2jRX3MsgsUOFbxnOXRNrZ6xp7fvX5Cz5rF1wo4XQNKOVfyFruMHLmSIw3CyyUeI6+aFa0DDJ+fC5n8qswD5suueBMHIFM4rbHPNVnSyEvnEC94apyQXVyBtUdtzyYSKbnGHuA/Yy+tseeYqeXipJKK0wHVBZnlqL7Py96VGU+Nk1SgVm6tJkdAgf1tTiyexysV39RfxqJnv8goTCSqtMOMvWlaVWGZDtN/PtqonxcrpTa344y9NeKMfK3fL+F7U3qkd1it3zt1XX7ao4dxlHmBxTpEWzwQHYq+xvWrZzgV0jFVbpKG2j2sGVr7W++r2hjuLk5S39jjqXnc+hyXlJuP4keH+2BA65pdLWojFngzlcWx9Y0pPYeuGPveHo64WXdi15tDAQBXsku4LR8Qu2F4cuxp7KFxMntwsiU7x5TpwIBSM/ZiMc8MG1reXbWSDq9kVXzAkE6qEgxLPXJsSNGsNPk/cVbgWMX7c1ZhOSYs2Ser+JMSM/be7s5YMMH8uswjEyqzoAxJxhlgXrOMYT7u6BCkhZ4Zsp94rGPn3UasY7AhQ2PnuSwMX7gTc/84zWW/lsXzeGpprAOTnF2CTA6DpenGawevuk+AYSDzheGGoqu/HeYX2CtVJFnqOMNrjb24FIPjjD0A3NGuZms5OcSsNCXuT2Ldgsa2hnZEFNjf5io49Qy1ZlRn+VX2RVUye9o2hOVD+eHk3EalbYlt1EzTmpVmrYdqzKn0On+G92jzhKhQ/N/0/tjy8mD8a2Akzn80Gi8Zb6KHkuSvuxOP09dDU8+WDdPJGJDyqpBrSkx5G9DaF2v/3Z9bF4eHe1UPnvAK7OUWABIEAff1MO+CwSt10JIY2Nu6xl4U4OVq1t/4vq/34VJmkax9AtUz9u6cH5yWPhaN8d0Nv2O5gYjpTIVSM/big+4RG9rHiemtppScsQcMQa5YRCzbhodo06U3SszYvzmqvfT3Yyl5ZmvZG0vMeuN9nBN7mQ/s8pixf/qnI9LfeRb8GmGctZ/1+0m0nx1jU5aGKd5r18VU/LjkHCRlFePH/clciv2VSZkF/J+fTDPp3v/zjOz9iV2U/D353O9Fw9oblo1c5HC9V7J4HqDAjH0l/xl7oOayU7lV53m1OrRGrAFDgT255ZUrkIov+rexIniAVv4F2i5r7K2kILeatRnHGriUQFwXF+4rf5a2oaw99Fw1ppiXVVZZnQUTH2B5LRlQqwT0ivBBx2AvvHdPJ2ic1FIlYh4zouWcB5/EKr5KFHsTZ+wDvVy5DpZF+HlIs9V5nFJdxUDKq4Gp99Z8dH9X3N01WPo6kfPaUBGPVHyR5UP4aQ5ZJWL2A88Ze8Awa9+3lSHDxFrg2xjF5WL7MLViS5raGlOJBaHxNQEs12arVYJi7U1NiQOGtgT2pjP2SgT2lsuc/r2ycVlkpsRWnLzvoWqVgMR5YxHVshkAYMupNJtbxoqOmxS44zkIdV9P84HIH/cny9ofr+J5orbGe5MpHgOPSs7Ym16TQy2WO9lCzCjkXatIfA4tLNPJHtBROhXfn3PHGV4dJixZFoqWuxSvglOrQ2vEQfdSSsUntzqp8iznmSag+kPPo1VPhdTXWMEZ+1oqnE5Ysh/t3tmCiLf/qrWiLmMM5zMM6+Isi14pybItEgAs252E1JwSDP9sJwZ9sgNfxV40+/6+S4Y+3pF+8nrY1qWN8QH/am6J7LXB5ZwLPA5t7w8nlYCjV3K5VckVKdlO7C5jK8lsTutDecw6eGqc8PXkKMwYbZhZfHfDKe4FE28UlUuFmXgFpBOjq9cGv7w6Qfb+iiuUmbEHqv9/CkorZRXQKyw3/H/b2o6vIUKbGx7sGTM8QDeG5bpnJQdxTYlt+mxJIzYNEJRIxQeA8x+N5rIfJdbYi9QqAcHehv/7NUeu4skVR+r5iYbj0ZZN1CZAiycHRUpfy12OxTsVP9DKJEh6vvxaMEoWzwMgLRWrkBkwM8aQb1xK2NyDb9Bset2T2xFFSsWXMSheFzGw51YVX7EZe/P3L3/GXrnA3o1S8cntIrvYcOHgleZsSnwgLSzX2dQ+zlSJ8ULsyaHidG2spbWLxBvWy7/FW03Pzygox9XcUqhV1S2A7OHDe7tIfzcN8j/YdAbXjWvVPvvnAiLe/gvluirkl1ZKGQhioKiEAK0Grs4q6Jn1tbONIXVu4BQsB3u7Ybwxhfy7vZe57FNUpmA7MR/jZzSH07q76nWC8gO9R3q3lP7+ze4kXMgoxJ6LtqcNm1plUqODV7Xc/5gUUQQMyzLktD+U28O+LuJ1NC45B23f2YLtZzNs2k+xQlkFppzUKmlwo7GztpaV35VsbWpKHIywpdCn6UMij2wSazROasw3Wcdu66yYEmvsTZnOrMddzpH1eRKXYNzVKZD7Z+rdcZ2kugDXZXYbEANEXhMjTmpVjf8fcYmfHGJhMyUGHgGguTHAE2fbbVVSUSVlwTRz4ztj7+KkkgY2GjvoaEnM7vFVaNmlmIrPq3NL9Yy9soF9qczAvkSBtnwiWmNPbhtioRIfBS5QpoVFWs/ajE0nrtu8ryIFH5xFplWzOwV74fL8sXi8f7jZNklZxfj50JUaI5Niuly4r7uix2ipuYcLkhfcjeQFd2PV09V9j7eeqfnw3352DP4+lQ6dnqG1vweXwm61EQRBqpB9IcP2VEK9nlUXeOT4oD+1fwQAYMe5TC5txERKzoz4Gmeucor53OwLOM46+Hi44EHjLPji7Rcx8vPdmPJ9HA4lZcvet+msBc+gRAzoAGDMF3vQbe4/NgcjuQqljwI1Myre/L8TNu2nWBocVfb6JM60X8luXKBsGWQpfZyiCGOGVWJWcaNnnMTsJ6U92qelNIu37uhVm3qxK1m9HwCiwpuZfX3DxgFIXZVeCu4+eaCb3MOySkx5T2nkOWpKr2fS557nxIjYqUGUZkMhSktiINvQjieNJV73cmX2CBd/3sVJpUhwJ07eyJ2xF+9JfpzrAIjCfAz3prT8Ui4Zr6UKBfaW55OcYy3XVUmTOEqcp+J8nNzlN46AAvvbWJWe4aCxuFmn4Jpru+RyVqukiuYA8MKv8Tbvq0QacVbuYc/0AXrtdEPhszdGtcfTgyOx4fmBUt/j9zaeRod3YzDq893414+HcfJqPs6kGR602lhpAWYvapWAri28zV678NEYs+I2M9YZgoIRHQMVX7/azdhe5KCM4M40tY9XSyEA6NbCG83dnVFUrkPcZfkF/kTSsgEFipM1F4t8cUjFr9DppVkcXrUWxHR8Uw8vOyh7v+4KBXjrnxtg9nVhuQ7jvtxr077EBz1fjmnDIsvAvpWNS30KpcFR5bKegOqq6FN/iAMA5JVU1Ju1U1Khq9EH216ZT2HNDVW9/zx+HUP/s7NR6a9yA4TGiDTWbvlg0xnc89XeRq+/VXrGflKflphqMhBu69pw099pXVl0ckT4Gv7P0wrKbE4fLiirlAZLeKaN+2s1+L/p/aXfZQaHGXsxe0ap36e47DJX5oy9tL7ezVmR5xMxYJTzuWWMKT5j7++pga+HC/QMuMih9WGpMZOQZyFKwDCgb/rfJCewP2pScFWJQV3Tibsd5zK51Na5WVFgfxtLyipCaWUVXJ1V6BEmv9+2Nbzagdhjtql/a190CNJiVOfq9D+tqzPeubsTeoQ1w7QBEYgOr/49nc8oROy5TNzz1V7M23wOAKSicU3FNB3/pTvbwsVJhYOz7sTkvi3Nthvclm+bEmuGdzCk+m89k2HzTKhpq0SeM/YqlSD1NZ783SEcSeYT3EvVhxWdsZcf2IvpvILAb51ggNbV7MGeF9OHEZ7nQIC2Zjul09cLbOpxnW0MBv05FAq1ZBnY25ryba8Ze1M3isrR44OtGPTJDhyu4zNmrUPFEM6tlGpjWtw1vaAMD/5vf4Prgoiz0k8MjFDi0MyEG4NR0U8Hkhv182JmklItBAVBwAf3dsGdHQzVx99Ye9ymAEqcXXZ1Vim2HMPHwwVOKgGM2T7LLA6wajVO3Jde9YrwwbhuhuViSVnyC5JWz9gr89kX6yBkFpTJWoJRXThPmcwC8donp7hjQZlOmnBQasZeEAR0ME62bUy4jjkbT+HTmHM2H3dZBd9aECJntQrH54yU6kpN+u6Q1Vol+aWVOJJc9/KcSd8ekv6uxODjpD7Vz8BP/HgYDy09ILWovtVQYH+LYYw1aD07Ywzf7TGsL+4e2kyxUXzLh9L5W87atB8li1OJNE5qbHl5ML6Z0svq91UqAZ8+2A0PRIViXLdgs773oqHt7fMwWpt+JgMLpq3I3h/f2Ww7y7RJJQxu6wc3ZzWu5ZXi9PXGFymqrNLjw03V7XN4t2R8rF91EPr8r8e47FOcsVeinZgPx8BerK3h5erMdW3w++M717iW5MlMzxSvZ85qQerzzMtnFmvtAUhFMBtDDPCUmLG3TEuMu5yDXh9ta/RMo9K9l63p9dE26e8Tlx6otX1okXH9v4eLGq39PeDl6oQ7OwbY5RgtB2OSs0vwza5EAIb75JfbL2Lm+hNWP3fibKppC0WltA8yP/e/jL3UqHNAyUK5psTCqdfySvHexlON/vkCaXZZufNUEASpWG6RjeutxfNBiWWMANA5xAsqwZCKnyajgB5jDBn5YiteZQLR9kFauKhVSMsvk9WeT3yfSn2exAGDnedtr/8iZvRoNU6KtQ0FDM/lAPD93stYceAKluxMRO+Pt2He5rONGjyprNIjzjioyruPPWB4hjAdHO3z8XYcvZILxhh+PZSC9ceuYur3h/Dg0gN4eXVCjXtAzKl0KbtLSSqVgGEmz+fFFVXS7+VWQ4H9LYQxho//OotXf6v54bF0ICkbvx1JBQD0MLapUYLlbOA3u5Iataa5XFeF8+mFUlEypWeb6kv/au3viYUPdcdXk6JwYu4os8Dg+WGtpXXlTWVAa1+E+7qjTYAnWvpUz/A4qVVY92x/eLs5Y979XRVd0iBydVZjSDs/AIaLd2PxSEGsS4+wZlJas9z+6CIxRc/aoI9cPhxT8c+nG4LXVpzrLAiCgPj37oKfycNujw+2ytpnmbFuweP9I7inZ4rnpylbipMpuebS2qDrjaJydHg3plFrvJVu0SRa/GjPWr8nLgdgjGH2hpOI+nArKqv00uBPt9Bm+P35gYh9Y6hdgmXAepbFL4dSUFhWidazNmPh1gtYFZeKB5fur7GdeI0KssOxPtKnJab0CzfLZLBWS6U24ufIVaHK6CLTrLb1x66ZLcOorNLjQGI2SupoOSUOkil9noqz1wU2BvbitZ5n1X5THhondAgy9LWPT8mzeT85xRUoLNdBEGD2TMCT1tUZnVsYjlVOpwGxnkCwtzKfJ/Ea+NOBKzZ367lmbCccpNAxih4fEFHjtbJKPZbtTsLyfclSPZ/6vP/naenvSj0/Ww4WPv5DHOIu52DW7yfx2prjUvvKP45fxx6Te1ZxuQ4z15/A7gvVAy0LrQy282KZqXriap5i/1ZTosD+FnIuvRA/7k/GH8ev46+TaXVueyipeqQq3Ee5ImrW1nMu/OcCPtp0pkHpzx//dRaj/rtb+tpd4fWhjfVgdCi2vDwY5z4cjTdHdWjqw4GHxgn/vDoEf78ypEZrwOhwHxyfMxKTLNLylTTW2ON8/bGrje6MkHyj+oFwyeQorsclWjolGgBwPb8MSVny+wUnGvfRSoEBHnE9X05xRb0Dd/URi0a1UqDloZerM/a+NZzb/m4UGh6glZgdCdC64sjsEdgzY5iUbbN4+8V6fsocYwypxorqSj3sPdwrzOrrk7871ODgrnr9qjKBiGic8TNvTX5JJQ4kZiNy5mb8fDAFOcUVaPvOFqnlYJC3K7xcnRWbWbRG6+qMni2bwUklYPkTvaF1dUJ6QRkmLNkP049ZUlZxjQJ/YsXyAC/lj9dT44QP7+uCFU/0lgYkG9MhQZyZVrq464iOgZh9d0fp6xX7k8EYwwu/HkPbd7bg0W8P4qVVCVZ/NrOwDI8bZ+86h3gpepxajbFrj43pzeK5oFQQClRn1h0zWX/cWMnGa32wl6uiM8zi70FORpk4Yy+2TuTtnbHV52Wijff7VONAlVKDJKJAL1es+Xd/CIJhWVLivLF4+c62AAx1NtrPjsH0lUfr3AdjDH+dMMQCvh4uUt0j3ixT/IO9XfHot9br66w0WUK08uAVs7oMHYK0eMCkFS1vD0SFmk1mrDmSig83nZHduelmQ4H9LaRjsBeeHGzo0brlVN2B/clr1YUj7ule+4OYXNbCj6W7EvHd3suY+M2Beivl/3TgitnXSrQRk6tjsJeiN8zG0jipFVta0VijOgfB280Z1/PLGt3+bN2xqwAMN42xdQQLcoiFswBg+MJdsvb1/p+npRkHJToOiDNDVXqGr3dcwj+nG58FARgenhZuvQAAaBeoTIaJaY2BDkHy0ufFNXtKzYz5eWoQ5uMuDTydvl6Anw4kN3ggKquoHLkllVAJ1WnIvL0+qh3+fUcrq9/77XBqg/ZxPDUPgHk3ACXUtbTj50NX8EnMuVq/P7pLkBKHVK/Vz/TD/pnDMax9gLRG/KKV4m+mdQKKynW4apy9My3MpDRBEPDePYZCrvsS6y9MWlyuw1MrDmPJTsPyAqUHIVQqAU8NboWljxkGY7/dcxlD/rMDm05UP5McSKyZaZKaU4I+H2+Xvh7eQdmlGGL71GnLD9vU3UBsjximYIAX1dKQ/XA0xfbA/kq2ITU+3Fe5CRygujK+nMD+ep7hWh/STJnBkr6tfNHdWJRz+9kM/Hn8Oq7llTYqtT01x/CZV/L/XdQn0gc73xiKZVOioVYJeGVEW0yIaiF9P+Z0utX6JKKMAsO9Sa0SsO/t4Yo9P1tm5l7MLDIbFL2jnT/WPdsfALD9XCZeWhWPZ346gv8Zr0nvjuuE98Z1wleTas/24sHb3Rn/vDIEG54fCMDw+/l+72XM3tD4JUM3MwrsbzFjuhgCoG1nM5FfWml1DZ6uSi89oPzxwkBF17KZrmVa/GhPsxYmjBkq5e+6YD3gs2fFYaIMV2c17u9puBE1NAAR/R5/DYD83qh14bXetFxXheX7kqWvlWh7ZnpTXrj1Ap5ZeRSL/jmPNY38vf6w97L0d6UengVBwLvGLhJy13SLqbJKz5CYFup6b+NpvLn2eIN+bse5TABAhK+HYgN8AVpXzBxTPdvkpBIgxs97LmbV+XAHADPXn5RSZAdbWX7A2+n3R1l9fdnupFp7h/cKb46RnQKVPKxaaZzUUjHFh3ubZzR98UgPqfjoy6sTMPq/uxHx9l/oMudvVOj0aOXnYTZAaA9ikdSswnK0nrW5zgrP8zafxbazmdLX9hqEGNU5CI/2MWSaiMGQqLiiCoVllVJApavSY+Tn1Zl5Xq5Oig/ynEurrqUx+btDjS76JmbpKHldEmvmJKTm2TyQKxbfi7Cxm0ZD+RjveZcyizBz/Umbus1cy1N2xh6o7iry2T8X8OKqeAxcEIvImZtxx392NKiDj5jZZ4/AHjAMyIj3FUEQ8OkD3TD9jtbS98d8sQfLdidi/6UbWLE/GRsTrkmD4WK3pkg/5e5NQN2ZtEsmR2HFv/ogOtwHHYK0YMyQkv/PmQzkl1bCSSVgUp+W+NegSLQJ4N+dy5KTWlWjVs/O81k2d8e4GdmvPC6xi+6h3ght7oaruaXo/v4/AAxrNCf1aYl37u4IV2c1ElLzUFimQ3N3Z3QOUSY1x5o7OwTg0MwRgGCoxt1truH4Hv8hDrPGdsAzQ1qbbS+uAxZZtnIjjuGRPmH4cX8y/jmTgaSsogalqZuuf/vkga5KHh7WPzcAE5YY1s+W66psGtXebzJz9vyw1nVsydfi2EsADB0d7v16H9xd1Ph6UpQ0K2GpsKwS644ZBkyeHBQp9XNWgjh7LVZkvppbghBvt0YX6yu0U9G3gW38EHuuOgBaH38Nix7uUefPFJfr8Na6kwCsZyfxtvH5gYi7nIMnB0WCAZj07UEcupyDKd/HYWKvUPxvZyI+m9gdD5qkM645nIpVcdXdJax1A+DNQ+OE+HfvQt9526F1dTKrC5FpbNO26cVB+OP4dWw6fh0rn+rb5PVJRP1b+2LnG0NRZFyX3DnE22wW8pzFfen1ke25FqBsCNMaKVV6hrsX78UrI9oi3Ncd47u3kDK2coorzDqLjOgYIHUDUZogCHjn7k7YdjZTas3361N98eKqeGQXVyD2XCYWbb0Af+OyC3EA9+0xHcwCF6VYDhi/vuY4XF3UeKR3GC5kFGHprkRcyixCc3dntA3U4sHoUDxksiQmxQ6BfUgzN4zoGIBtZzPxzMqj+PTBbnioVxjySirg6qzGW+tOwFmtwvvjO5stsUjJLsGeS1noHeGDr3YY7hE9wpR9fhLbsYqZGaviUvDrU30RHdEcmQXlCG3uVmuNlIKySsz766zUItGyUCRPEbVkLlzJLsEjyw7iPw92w8Ralj4B1dmuXRReKlIbJ7UKb4/pgAeiWuDBpQeQX1opdWWqjdLH6lTL9a99oBajOlcP0L0wvE2NtteD2vopXtDTksZJjY7BXmYD4ou3X8SM0U2/nJYHCuxvMYIgYETHQPy4P1l6rUrPsPLgFaw8eAWvjmgnrQvs39pX8ZTt76b2wlM/HUGkn0eNtX3vj++MOX8YCnvM23wOY7oEm42CnrQobDF/grIBHlFGhyAvDO8QgNhzmfhi+0V88Uj96VYrjOevn6cGE6Nrv8nyYDpgtPfiDZsefFcZH54n923ZJLUWHv32IHKKK5BTDNz79T4kvHdXjayByio9oj/ahgqdHi2aueEthW9ipq2F9l26gcnfHUKfSB+s+Xf/Ru1HrJLt5abs7WragAicvpaP9cZMEcAwK1fXzIxp9sPTg62nyvPUPayZ2aDNN1OiMfaLPbieXyalNb6x9jg8NWocSMzGCoulTM8MUf4YRc09XLB7xjC4a9Q4kpyDf/14RPpe1xbe6GL8M8tk3evNwnJ28+5uwViw5ZzU9UL0aJ8w3N1NuaVsdfnvwz3wym8J1V9vM9SGSEjJwysj2uG7vUn4ekei9P1zH462+5IxT40T1j87AJtPpmFirzD4eLgg3Ncd2cUVUl2FK9nV61sn921pl6AeAPw8XaRCfQCkz/2vJgMhgKE3e9zlHMRdzkF5ZRUGtPGDr4eLdNy1BYq8fD05CnP/OI1Vcan45eAVlOv0eNcidfhwcg4GtfFDQmoekrKKawxauDmrMUah5WwiH4+aA6+TvqtuYTZtQATmWnTnAQC9nuHV1QnYbhxUHdExUNHCmZEmy+SeHBSJgW184euhwbM/H8X1/DLMWHcCbQO16GFlcDyzsAxp+WUQBKBLE080tQ3UYuWTffDE8sPSwGmknwdSckpqLCNTct06YH0JmkoA1vy7v1mMcXfXYGTdUw53FzUi/Tyx43ymXVqFWrNkchRWx6Xgm91JAAwFxW8VApPTdPI2UlBQAG9vb+Tn58PLq2lG6hqqqFyH9/84jWbuzni0T0vM23wO26wU2fng3s6Y2j9C8ePR61mtMxrHUnKl2dL+rXwR7O2KuOQctPb3NEvR7xzihT9fGGT3mRHCx6lr+Rj35V7p63XP9sfRK7m4mluK7WczcS2vFDNGt8ddHQOxfH+y9HD17yGtMNMOD/4Rb/9l9vUH93ZGM3cXrD2SirnjO6O1v6exSFopmns4Q+vqjJ3nM3H6egGmDYhA5zl/AwCWPhataAqp5XHWRqtxwom5I6UZkv2XbuCZlUel5S31zUrwkJRVhOELd8HDRY1JfVviW2N7zcFt/ZCeX4Z/DYrEI73D6qx0zxhD5MzNAIB9bw+3Wxrx/Uv2mVWi/vLRnmjm7oz2QVqzGe+nVhyRrq1J88Y2yfVpzeFUzFh3os5tekc0x7IpvaRZtaYQcyoN0382tJWc3LclPr7f8QZqC8sqoRIExQvQNcbRKzl44H8H6tzm84e74/6eyj7cN9QPey/jA2MbUxe1SuoJfnfXYHytUJFUa+JTcjFv81nMvrsT9iXewKcx52tsE+nngUAvDXKKK3Aho2bNBR8PFxydPYJ7tw5LmYVlUv0BjZOqxgBTXYK9XfHpg91qVATnbe/FG3js++pAvpm7s1SwUxSg1aCssgpdWnijbYAnfD01SEjNQ+y5TLg4qfDpA90wrltwjcK/PKXll2LU57vRzN0F/7w6RBrsOp6ah3u/3idt1zHYCyv+1dvsev/H8et4aVU8OgRpEfPKEMWOsbGOpeTCw8UJ7YO0YIxh76UbeO6XY+gb6YvXR7ZDx2BlY5bKKj0++/s8hrYPQHR4c/x2JBVt/D3Rv7Vv/T/cxHZfyMI3uxOxYEI3uy2vsFVD41AK7BvIkQJ7S4wx/HUyDct2J+GEse2EWiXg2Oy74O1uv57GtdlzMQtTf4iDtTPR3UWNP14YhEg/j5umIByxzfSVRxHTyHWC1maelVBfwDy8QwDOpxdKawBrc/6j0YoWeLQcIDHVopkbnh/WBrN+Pym9NqiNH/q18sFn/1yQXvNydULcOyMUn70rqdCh03uGAY/x3UPwx3HrhTI3Pj8Q3cOaoUKnh7NagCAI0mDgiat5GP+V4WHrxNyRNYr0KGXuH6fNsp5MdQjSYt2zA/Dn8et4e73hd73u2QFmbb7sqayyCo99dwj+Wg1eH9keIxYZikC2D9RiaHt/BHq5Ymr/cEUflhtq+b7L+OtEGj5/uMdN/xDlSNYfu4pjKbnYcS7L7Bql1Thh5tiOdu2E0hCXMotwJq0AIzsFSmn593QLtsu1vjZp+aXw8XDB1dxSJGUVY1h7f+kzk55fhn7zt9f4mdGdg6TOKkp78H/7ccSkOr4gGKq839+zBb7bexnbzmTASa1CjzBv3NHOH0Pa+WPX+Sz0a+VrlwG90ooq9PpoK4orqjD77o4Y0zUYv8WloH2QF77ZnSg9e9ZGXGZgDwVllXB1UsPFovVjZmEZRn6+22xAol8rH0SHN0doc3f8uC8Z5zMK7TbhQIgpCuw5c+TA3lRJhQ6x5zIxoLWfYlWmbbEx4Rp+PngFXq7O0OkZ8ksNhXWeG9bGbI0OcVy1PRw1d3eWWp5oXZ3g6+ECNxcnfDs1GqF2Kko1e8NJ/Hwwpf4N6/DmqPZ4flgbTkdUv0X/nJfW2APAlH7h+PC+LjUeAEUh3q7Y+MIgq327ldJ17t/SGnvA8P9baKVvdItmbsgqKjerrdDSx11axwoAl+ePVXxmTHQoKRsPL7PersdSaHM3ru395Hrul6OIT8nDzzfRunViH8k3iqXuHHPu6ewQM2aOgjGGf85kQICh6Orx1DxM7BWmaNq4qbjLOXjsu0Oo1OuxYELXGkUebwb7L93A1dxSTOwVanatLq2owomrebh8oxhF5Tp4aJxw4moeBEGAi1qF/q19b5rnvINJ2Xiknmv/Xy8Nsmt9KkIACuy5u1UCe0KaEmMMM/7vBNbHX8M7YzuibysfdAzyavIlFqUVVej4Xky92wVoNfjPxO5YdSgFTw2OxKtrEpCaU4rBbf2wbEovuxeBKSirlIpQfnRfFzzWL9zYMzoef52sbi/VpYUXfnmqH7wVLkBnacSiXVJBJADY8PxA5BZXoE2AJzbEX5Pa7tVHfG/2lJhVhKSsYhSWVWL9sWvw83SBSiVg/bHqNfjOagHrnx2Irgr1B7aFeEu31yAIIcQ+LmUWSansRFlHknMQcyodFzOLcDW3BF5uzghp5oYHo0IxTOFWjIRYQ4E9ZxTYE8JPQVml3dKqGyqjoAzf772MAK0G43uEIEDrCsYYpv4Qh0OXczBtQAQejA5FO5NK8owxVFaxGil99vTP6XRsOpGGD+/rUiNwr9DpoTa2RmuKQG/4wp1Su6V2gZ74+5UhZsfxwZ9n8POhK3hmcCu0C9LipVXVFXOfGdIKKkFASx93PNqn7rX49pSYVYQXf41H74jmmDu+801zXIQQQgi5NVFgzxkF9oTcniqr9BCAm2KNsqP59VAKZv1+Ev5aDX5/bkC9SyuOpeRi/uazeH98F3RqonZChBBCCCE3EwrsOaPAnhBCGocxhvMZhWgXoG3y5RaEEEIIIY6ooXHobTUFtWTJEkRGRsLV1RXR0dHYs2dPUx8SIYTcsgRBQIeboIYCIYQQQsit7rYJ7H/77Te88soreOeddxAfH4/BgwdjzJgxSEmRVwmbEEIIIYQQQghpSrdNKn7fvn0RFRWF//3vf9JrHTt2xH333Yf58+fX+/OUik8IIYQQQgghxJ4oFd9ERUUFjh49ipEjR5q9PnLkSOzfv9/qz5SXl6OgoMDsDyGEEEIIIYQQcrO5LQL7GzduoKqqCoGBgWavBwYGIj093erPzJ8/H97e3tKfsLAwexwqIYQQQgghhBDSKLdFYC+y7DfMGKu1B/HMmTORn58v/UlNTbXHIRJCCCGEEEIIIY3i1NQHYA9+fn5Qq9U1ZuczMzNrzOKLNBoNNBqNPQ6PEEIIIYQQQgix2W0xY+/i4oLo6Ghs3brV7PWtW7diwIABTXRUhBBCCCGEEEKIfLfFjD0AvPbaa5gyZQp69eqF/v37Y9myZUhJScH06dOb+tAIIYQQQgghhBCb3TaB/cMPP4zs7Gx88MEHSEtLQ5cuXbB582aEh4c39aERQgghhBBCCCE2u2362MtFfewJIYQQQgghhNgT9bEnhBBCCCGEEEJuAxTYE0IIIYQQQgghDowCe0IIIYQQQgghxIFRYE8IIYQQQgghhDiw26YqvlxijcGCgoImPhJCCCGEEEIIIbcDMf6sr+Y9BfYNVFhYCAAICwtr4iMhhBBCCCGEEHI7KSwshLe3d63fp3Z3DaTX63H9+nVotVoIgtDUh+PwCgoKEBYWhtTUVGofSG5KdI4SR0DnKbnZ0TlKbnZ0jpKbHWMMhYWFCAkJgUpV+0p6mrFvIJVKhdDQ0KY+jFuOl5cXXUTJTY3OUeII6DwlNzs6R8nNjs5RcjOra6ZeRMXzCCGEEEIIIYQQB0aBPSGEEEIIIYQQ4sAosCdNQqPRYM6cOdBoNE19KIRYRecocQR0npKbHZ2j5GZH5yi5VVDxPEIIIYQQQgghxIHRjD0hhBBCCCGEEOLAKLAnhBBCCCGEEEIcGAX2hBBCCCGEEEKIA6PAnhBCCCGEEEIIcWAU2BOb7d69G/fccw9CQkIgCAI2bNhg9v2MjAxMmzYNISEhcHd3x+jRo3Hx4kWzbRITE3H//ffD398fXl5eeOihh5CRkVHj3/rrr7/Qt29fuLm5wc/PDxMmTFDyrZFbxPz589G7d29otVoEBATgvvvuw/nz5822YYxh7ty5CAkJgZubG4YOHYrTp0+bbVNeXo4XX3wRfn5+8PDwwPjx43H16lWzbXJzczFlyhR4e3vD29sbU6ZMQV5entJvkTg4e56jptv26NEDgiAgISFBqbdGbhH2PEcvXLiAe++9F35+fvDy8sLAgQOxY8cOxd8jcWy8ztFly5Zh6NCh8PLygiAINe7hycnJePLJJxEZGQk3Nze0bt0ac+bMQUVFhdJvkZAGocCe2Ky4uBjdu3fHV199VeN7jDHcd999SEpKwsaNGxEfH4/w8HCMGDECxcXF0s+PHDkSgiAgNjYW+/btQ0VFBe655x7o9XppX+vWrcOUKVPwxBNP4Pjx49i3bx8mTZpkt/dJHNeuXbvw/PPP4+DBg9i6dSt0Oh1GjhwpnYMA8Omnn2LRokX46quvcPjwYQQFBeGuu+5CYWGhtM0rr7yC33//HatXr8bevXtRVFSEcePGoaqqStpm0qRJSEhIQExMDGJiYpCQkIApU6bY9f0Sx2PPc1Q0Y8YMhISE2OX9Ecdnz3P07rvvhk6nQ2xsLI4ePYoePXpg3LhxSE9Pt+t7Jo6F1zlaUlKC0aNHY9asWVb/nXPnzkGv1+Obb77B6dOn8fnnn2Pp0qW1bk+I3TFCOADAfv/9d+nr8+fPMwDs1KlT0ms6nY75+Piwb7/9ljHG2N9//81UKhXLz8+XtsnJyWEA2NatWxljjFVWVrIWLVqw7777zj5vhNzSMjMzGQC2a9cuxhhjer2eBQUFsQULFkjblJWVMW9vb7Z06VLGGGN5eXnM2dmZrV69Wtrm2rVrTKVSsZiYGMYYY2fOnGEA2MGDB6VtDhw4wACwc+fO2eOtkVuEUueoaPPmzaxDhw7s9OnTDACLj49X/k2RW4pS52hWVhYDwHbv3i1tU1BQwACwbdu22eOtkVuELeeoqR07djAALDc3t95/69NPP2WRkZHcjp0QOWjGniiivLwcAODq6iq9plar4eLigr1790rbCIIAjUYjbePq6gqVSiVtc+zYMVy7dg0qlQo9e/ZEcHAwxowZUyN9ipCGyM/PBwD4+PgAAC5fvoz09HSMHDlS2kaj0eCOO+7A/v37AQBHjx5FZWWl2TYhISHo0qWLtM2BAwfg7e2Nvn37Stv069cP3t7e0jaENIRS5yhgWB719NNPY+XKlXB3d7fH2yG3IKXOUV9fX3Ts2BE//fQTiouLodPp8M033yAwMBDR0dH2envkFmDLOSrn3xL/HUKaGgX2RBEdOnRAeHg4Zs6cidzcXFRUVGDBggVIT09HWloaAEPg4+HhgbfeegslJSUoLi7Gm2++Cb1eL22TlJQEAJg7dy5mz56NTZs2oXnz5rjjjjuQk5PTZO+POB7GGF577TUMGjQIXbp0AQApvTMwMNBs28DAQOl76enpcHFxQfPmzevcJiAgoMa/GRAQQCmkpMGUPEcZY5g2bRqmT5+OXr16Kf1WyC1KyXNUEARs3boV8fHx0Gq1cHV1xeeff46YmBg0a9ZM4XdGbhW2nqO2SExMxJdffonp06fbfsCEcESBPVGEs7Mz1q1bhwsXLsDHxwfu7u7YuXMnxowZA7VaDQDw9/fH2rVr8eeff8LT0xPe3t7Iz89HVFSUtI241v6dd97BAw88gOjoaCxfvhyCIGDt2rVN9v6I43nhhRdw4sQJrFq1qsb3BEEw+5oxVuM1S5bbWNu+IfshRKTkOfrll1+ioKAAM2fO5HfA5Laj5DnKGMNzzz2HgIAA7NmzB3Fxcbj33nsxbtw4abCfkPrwPkdrc/36dYwePRoTJ07EU089ZdM+COGNAnuimOjoaCQkJCAvLw9paWmIiYlBdnY2IiMjpW1GjhyJxMREZGZm4saNG1i5ciWuXbsmbRMcHAwA6NSpk/QzGo0GrVq1QkpKin3fEHFYL774Iv744w/s2LEDoaGh0utBQUEAUGPEPjMzUxrZDwoKQkVFBXJzc+vcxlo3h6ysrBozBIRYo/Q5Ghsbi4MHD0Kj0cDJyQlt2rQBAPTq1QuPP/64Yu+L3DrscY5u2rQJq1evxsCBAxEVFYUlS5bAzc0NK1asUPKtkVuEnHO0Ma5fv45hw4ahf//+WLZsmbyDJoQjCuyJ4ry9veHv74+LFy/iyJEjuPfee2ts4+fnh2bNmiE2NhaZmZkYP348AMPggEajMWtbUllZieTkZISHh9vtPRDHxBjDCy+8gPXr1yM2NtZsUAkAIiMjERQUhK1bt0qvVVRUYNeuXRgwYAAAwzno7Oxstk1aWhpOnTolbdO/f3/k5+cjLi5O2ubQoUPIz8+XtiHEGnudo4sXL8bx48eRkJCAhIQEbN68GQDw22+/4eOPP1b6bRIHZq9ztKSkBACgUpk/mqpUKrNOOYRY4nGONtS1a9cwdOhQREVFYfny5TXOV0KalL2r9ZFbR2FhIYuPj2fx8fEMAFu0aBGLj49nV65cYYwxtmbNGrZjxw6WmJjINmzYwMLDw9mECRPM9vHDDz+wAwcOsEuXLrGVK1cyHx8f9tprr5lt8/LLL7MWLVqwv//+m507d449+eSTLCAggOXk5NjtvRLH9OyzzzJvb2+2c+dOlpaWJv0pKSmRtlmwYAHz9vZm69evZydPnmSPPvooCw4OZgUFBdI206dPZ6GhoWzbtm3s2LFjbPjw4ax79+5Mp9NJ24wePZp169aNHThwgB04cIB17dqVjRs3zq7vlzgee56jpi5fvkxV8UmD2OsczcrKYr6+vmzChAksISGBnT9/nr3xxhvM2dmZJSQk2P19E8fB6xxNS0tj8fHx7Ntvv5U6NMTHx7Ps7GzGmKGTQ5s2bdjw4cPZ1atXzf4tQm4GFNgTm4ntQCz/PP7444wxxr744gsWGhrKnJ2dWcuWLdns2bNZeXm52T7eeustFhgYyJydnVnbtm3ZwoULmV6vN9umoqKCvf766ywgIIBptVo2YsQIszZ6hNTG2vkJgC1fvlzaRq/Xszlz5rCgoCCm0WjYkCFD2MmTJ832U1payl544QXm4+PD3Nzc2Lhx41hKSorZNtnZ2Wzy5MlMq9UyrVbLJk+e3KBWOeT2Zs9z1BQF9qSh7HmOHj58mI0cOZL5+PgwrVbL+vXrxzZv3myPt0kcGK9zdM6cOXXuZ/ny5bX+W4TcDATGGFMmF4AQQgghhBBCCCFKo4UhhBBCCCGEEEKIA6PAnhBCCCGEEEIIcWAU2BNCCCGEEEIIIQ6MAntCCCGEEEIIIcSBUWBPCCGEEEIIIYQ4MArsCSGEEEIIIYQQB0aBPSGEEEIIIYQQ4sAosCeEEEIIIYQQQhwYBfaEEEIIIYQQQogDo8CeEEIIIfWaNm0aBEGAIAhwdnZGYGAg7rrrLvzwww/Q6/UN3s+PP/6IZs2aKXeghBBCyG2IAntCCCGENMjo0aORlpaG5ORkbNmyBcOGDcPLL7+McePGQafTNfXhEUIIIbctCuwJIYQQ0iAajQZBQUFo0aIFoqKiMGvWLGzcuBFbtmzBjz/+CABYtGgRunbtCg8PD4SFheG5555DUVERAGDnzp144oknkJ+fL83+z507FwBQUVGBGTNmoEWLFvDw8EDfvn2xc+fOpnmjhBBCiIOhwJ4QQgghNhs+fDi6d++O9evXAwBUKhUWL16MU6dOYcWKFYiNjcWMGTMAAAMGDMB///tfeHl5IS0tDWlpaXjjjTcAAE888QT27duH1atX48SJE5g4cSJGjx6NixcvNtl7I4QQQhyFwBhjTX0QhBBCCLm5TZs2DXl5ediwYUON7z3yyCM4ceIEzpw5U+N7a9euxbPPPosbN24AMKyxf+WVV5CXlydtk5iYiLZt2+Lq1asICQmRXh8xYgT69OmDefPmcX8/hBBCyK3EqakPgBBCCCGOjTEGQRAAADt27MC8efNw5swZFBQUQKfToaysDMXFxfDw8LD688eOHQNjDO3atTN7vby8HL6+voofPyGEEOLoKLAnhBBCiCxnz55FZGQkrly5grFjx2L69On48MMP4ePjg7179+LJJ59EZWVlrT+v1+uhVqtx9OhRqNVqs+95enoqffiEEEKIw6PAnhBCCCE2i42NxcmTJ/Hqq6/iyJEj0Ol0WLhwIVQqQxmfNWvWmG3v4uKCqqoqs9d69uyJqqoqZGZmYvDgwXY7dkIIIeRWQYE9IYQQQhqkvLwc6enpqKqqQkZGBmJiYjB//nyMGzcOU6dOxcmTJ6HT6fDll1/innvuwb59+7B06VKzfURERKCoqAjbt29H9+7d4e7ujnbt2mHy5MmYOnUqFi5ciJ49e+LGjRuIjY1F165dMXbs2CZ6x4QQQohjoKr4hBBCCGmQmJgYBAcHIyIiAqNHj8aOHTuwePFibNy4EWq1Gj169MCiRYvwySefoEuXLvjll18wf/58s30MGDAA06dPx8MPPwx/f398+umnAIDly5dj6tSpeP3119G+fXuMHz8ehw4dQlhYWFO8VUIIIcShUFV8QgghhBBCCCHEgdGMPSGEEEIIIYQQ4sAosCeEEEIIIYQQQhwYBfaEEEIIIYQQQogDo8CeEEIIIYQQQghxYBTYE0IIIYQQQgghDowCe0IIIYQQQgghxIFRYE8IIYQQQgghhDgwCuwJIYQQQgghhBAHRoE9IYQQQgghhBDiwCiwJ4QQQgghhBBCHBgF9oQQQgghhBBCiAP7fzVLDOzVJxwtAAAAAElFTkSuQmCC",
       "text/plain": [
        "<Figure size 1200x500 with 1 Axes>"
       ]
@@ -241,7 +316,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 130,
+   "execution_count": 12,
    "id": "77e79b20-3e4d-405a-bd88-16bdc50bdb39",
    "metadata": {},
    "outputs": [
@@ -249,30 +324,32 @@
      "data": {
       "text/html": [
        "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">LumpedMakkinkForcing</span><span style=\"font-weight: bold\">(</span>\n",
-       "    <span style=\"color: #808000; text-decoration-color: #808000\">start_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'2025-01-01T00:00:00Z'</span>,\n",
-       "    <span style=\"color: #808000; text-decoration-color: #808000\">end_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'2050-12-31T00:00:00Z'</span>,\n",
-       "    <span style=\"color: #808000; text-decoration-color: #808000\">directory</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/ssp126/CMIP6-2025-2050'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">start_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'1995-01-01T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">end_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'2014-12-31T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">directory</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forci</span>\n",
+       "<span style=\"color: #008000; text-decoration-color: #008000\">ngs/CMIP6/historical/CMIP6-1995-2014'</span><span style=\"font-weight: bold\">)</span>,\n",
        "    <span style=\"color: #808000; text-decoration-color: #808000\">shape</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'</span><span style=\"font-weight: bold\">)</span>,\n",
        "    <span style=\"color: #808000; text-decoration-color: #808000\">filenames</span>=<span style=\"font-weight: bold\">{</span>\n",
-       "        <span style=\"color: #008000; text-decoration-color: #008000\">'evspsblpot'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_2025_2050_evspsblpot.nc'</span>,\n",
-       "        <span style=\"color: #008000; text-decoration-color: #008000\">'pr'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_2025_2050_pr.nc'</span>,\n",
-       "        <span style=\"color: #008000; text-decoration-color: #008000\">'rsds'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_2025_2050_rsds.nc'</span>,\n",
-       "        <span style=\"color: #008000; text-decoration-color: #008000\">'tas'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_2025_2050_tas.nc'</span>\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'evspsblpot'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_1995_2014_evspsblpot.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'pr'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_1995_2014_pr.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'rsds'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_1995_2014_rsds.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'tas'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_1995_2014_tas.nc'</span>\n",
        "    <span style=\"font-weight: bold\">}</span>\n",
        "<span style=\"font-weight: bold\">)</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
        "\u001b[1;35mLumpedMakkinkForcing\u001b[0m\u001b[1m(\u001b[0m\n",
-       "    \u001b[33mstart_time\u001b[0m=\u001b[32m'2025-01-01T00:00:00Z'\u001b[0m,\n",
-       "    \u001b[33mend_time\u001b[0m=\u001b[32m'2050-12-31T00:00:00Z'\u001b[0m,\n",
-       "    \u001b[33mdirectory\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/forcings/CMIP6/ssp126/CMIP6-2025-2050'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mstart_time\u001b[0m=\u001b[32m'1995-01-01T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mend_time\u001b[0m=\u001b[32m'2014-12-31T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mdirectory\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forci\u001b[0m\n",
+       "\u001b[32mngs/CMIP6/historical/CMIP6-1995-2014'\u001b[0m\u001b[1m)\u001b[0m,\n",
        "    \u001b[33mshape\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'\u001b[0m\u001b[1m)\u001b[0m,\n",
        "    \u001b[33mfilenames\u001b[0m=\u001b[1m{\u001b[0m\n",
-       "        \u001b[32m'evspsblpot'\u001b[0m: \u001b[32m'combined_CMIP6_2025_2050_evspsblpot.nc'\u001b[0m,\n",
-       "        \u001b[32m'pr'\u001b[0m: \u001b[32m'combined_CMIP6_2025_2050_pr.nc'\u001b[0m,\n",
-       "        \u001b[32m'rsds'\u001b[0m: \u001b[32m'combined_CMIP6_2025_2050_rsds.nc'\u001b[0m,\n",
-       "        \u001b[32m'tas'\u001b[0m: \u001b[32m'combined_CMIP6_2025_2050_tas.nc'\u001b[0m\n",
+       "        \u001b[32m'evspsblpot'\u001b[0m: \u001b[32m'combined_CMIP6_1995_2014_evspsblpot.nc'\u001b[0m,\n",
+       "        \u001b[32m'pr'\u001b[0m: \u001b[32m'combined_CMIP6_1995_2014_pr.nc'\u001b[0m,\n",
+       "        \u001b[32m'rsds'\u001b[0m: \u001b[32m'combined_CMIP6_1995_2014_rsds.nc'\u001b[0m,\n",
+       "        \u001b[32m'tas'\u001b[0m: \u001b[32m'combined_CMIP6_1995_2014_tas.nc'\u001b[0m\n",
        "    \u001b[1m}\u001b[0m\n",
        "\u001b[1m)\u001b[0m\n"
       ]
@@ -300,7 +377,7 @@
     "\n",
     "# Load data\n",
     "\n",
-    "# ERA5_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=forcing_path_ERA5)\n",
+    "ERA5_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=forcing_path_ERA5)\n",
     "\n",
     "CMIP_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=forcing_path_CMIP)\n",
     "\n",
@@ -319,7 +396,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 131,
+   "execution_count": 13,
    "id": "ca2be146-1112-4806-a44f-d57ebd4442c9",
    "metadata": {},
    "outputs": [],
@@ -364,7 +441,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 132,
+   "execution_count": 14,
    "id": "d5e5bcb4-bf90-470b-90ed-4a0b9d80c35d",
    "metadata": {},
    "outputs": [],
@@ -385,7 +462,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 133,
+   "execution_count": 15,
    "id": "055bdbc8-af1f-41ac-ad1d-b4da4d6785f6",
    "metadata": {},
    "outputs": [],
@@ -446,7 +523,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 135,
+   "execution_count": 16,
    "id": "44092959-524a-4330-a274-77cfad0eacd6",
    "metadata": {},
    "outputs": [],
@@ -492,7 +569,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 136,
+   "execution_count": 28,
    "id": "079368de-30cf-491f-8cc9-2021f6a4bfa6",
    "metadata": {},
    "outputs": [
@@ -561,6 +638,71 @@
      "metadata": {},
      "output_type": "display_data"
     },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m1\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m2\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m3\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m4\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m5\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
     {
      "data": {
       "text/html": [
@@ -593,54 +735,54 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>2025-01-02</th>\n",
+       "      <th>1999-01-02</th>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>191.0</td>\n",
+       "      <td>103.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2025-01-03</th>\n",
+       "      <th>1999-01-03</th>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>196.0</td>\n",
+       "      <td>101.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2025-01-04</th>\n",
+       "      <th>1999-01-04</th>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>201.0</td>\n",
+       "      <td>103.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2025-01-05</th>\n",
+       "      <th>1999-01-05</th>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>203.0</td>\n",
+       "      <td>105.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2025-01-06</th>\n",
+       "      <th>1999-01-06</th>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>202.0</td>\n",
+       "      <td>108.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -648,24 +790,24 @@
       ],
       "text/plain": [
        "            Set 1  Set 2  Set 3  Set 4  Set 5  Mean  Observed discharge\n",
-       "2025-01-02    0.0    0.0    0.0    0.0    0.0   0.0               191.0\n",
-       "2025-01-03    0.0    0.0    0.0    0.0    0.0   0.0               196.0\n",
-       "2025-01-04    0.0    0.0    0.0    0.0    0.0   0.0               201.0\n",
-       "2025-01-05    0.0    0.0    0.0    0.0    0.0   0.0               203.0\n",
-       "2025-01-06    0.0    0.0    0.0    0.0    0.0   0.0               202.0"
+       "1999-01-02    0.0    0.0    0.0    0.0    0.0   0.0               103.0\n",
+       "1999-01-03    0.0    0.0    0.0    0.0    0.0   0.0               101.0\n",
+       "1999-01-04    0.0    0.0    0.0    0.0    0.0   0.0               103.0\n",
+       "1999-01-05    0.0    0.0    0.0    0.0    0.0   0.0               105.0\n",
+       "1999-01-06    0.0    0.0    0.0    0.0    0.0   0.0               108.0"
       ]
      },
-     "execution_count": 136,
+     "execution_count": 28,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "# ensemble_data_ERA5 = run_hbv_ensemble(\n",
-    "#     par_ensemble=par_ensemble,\n",
-    "#     initial_storages=s_0,\n",
-    "#     forcing=ERA5_forcing\n",
-    "# )\n",
+    "ensemble_data_ERA5 = run_hbv_ensemble(\n",
+    "    par_ensemble=par_ensemble,\n",
+    "    initial_storages=s_0,\n",
+    "    forcing=ERA5_forcing\n",
+    ")\n",
     "\n",
     "ensemble_data_CMIP = run_hbv_ensemble(\n",
     "    par_ensemble=par_ensemble,\n",
@@ -677,11 +819,117 @@
     "#     par_ensemble=par_ensemble,\n",
     "#     initial_storages=s_0,\n",
     "#     forcing=QDM_forcing\n",
-    "# )\n",
-    "\n",
-    "# ensemble_data_ERA5.head()\n",
-    "ensemble_data_CMIP.head()\n",
-    "# ensemble_data_QDM.head()"
+    "# )"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "id": "3d246969-43f4-4702-9932-873cff874d17",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Set 1</th>\n",
+       "      <th>Set 2</th>\n",
+       "      <th>Set 3</th>\n",
+       "      <th>Set 4</th>\n",
+       "      <th>Set 5</th>\n",
+       "      <th>Mean</th>\n",
+       "      <th>Observed discharge</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1999-01-02</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>103.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1999-01-03</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>101.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1999-01-04</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>103.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1999-01-05</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>105.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1999-01-06</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>108.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            Set 1  Set 2  Set 3  Set 4  Set 5  Mean  Observed discharge\n",
+       "1999-01-02    0.0    0.0    0.0    0.0    0.0   0.0               103.0\n",
+       "1999-01-03    0.0    0.0    0.0    0.0    0.0   0.0               101.0\n",
+       "1999-01-04    0.0    0.0    0.0    0.0    0.0   0.0               103.0\n",
+       "1999-01-05    0.0    0.0    0.0    0.0    0.0   0.0               105.0\n",
+       "1999-01-06    0.0    0.0    0.0    0.0    0.0   0.0               108.0"
+      ]
+     },
+     "execution_count": 33,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ensemble_data_ERA5.head()\n",
+    "# ensemble_data_CMIP.head()"
    ]
   },
   {
@@ -694,7 +942,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 137,
+   "execution_count": 18,
    "id": "37567a9e-dff3-4c80-84e0-572a6ed72b68",
    "metadata": {},
    "outputs": [],
@@ -717,7 +965,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 138,
+   "execution_count": 19,
    "id": "dc7850a4-dc30-4aa7-8719-4f810760c320",
    "metadata": {},
    "outputs": [],
@@ -771,7 +1019,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 139,
+   "execution_count": 20,
    "id": "80962ebd-6ad7-48ce-b378-acd68ed03a1e",
    "metadata": {},
    "outputs": [],
@@ -807,7 +1055,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 140,
+   "execution_count": 21,
    "id": "f519854a-a994-44fd-a428-4d0c6daa98e1",
    "metadata": {},
    "outputs": [],
@@ -847,7 +1095,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 141,
+   "execution_count": 22,
    "id": "f1bb58f8-3dee-43eb-abc8-4af333b5d064",
    "metadata": {},
    "outputs": [],
@@ -875,7 +1123,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 142,
+   "execution_count": 233,
    "id": "b835010a-b272-46b7-9c20-b0db1a99506b",
    "metadata": {},
    "outputs": [
@@ -890,7 +1138,26 @@
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 2000x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 640x480 with 0 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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",
       "text/plain": [
        "<Figure size 2000x800 with 1 Axes>"
       ]
@@ -902,13 +1169,13 @@
    "source": [
     "# Plot for selected year\n",
     "\n",
-    "selected_year = 2036\n",
+    "selected_year = 2010\n",
     "\n",
-    "# plot_ensemble(\n",
-    "#     ensemble_data=ensemble_data_ERA5,\n",
-    "#     plot_start=pd.to_datetime(f\"{selected_year}-01-01\"),\n",
-    "#     plot_end=pd.to_datetime(f\"{selected_year}-12-31\")\n",
-    "# )\n",
+    "plot_ensemble(\n",
+    "    ensemble_data=ensemble_data_ERA5,\n",
+    "    plot_start=pd.to_datetime(f\"{selected_year}-01-01\"),\n",
+    "    plot_end=pd.to_datetime(f\"{selected_year}-12-31\")\n",
+    ")\n",
     "\n",
     "plot_ensemble(\n",
     "    ensemble_data=ensemble_data_CMIP,\n",
@@ -923,6 +1190,345 @@
     "# )"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "8a41ce5a-afa4-450b-a2aa-d553b34e5a64",
+   "metadata": {},
+   "source": [
+    "## TEST - QDM"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 255,
+   "id": "0f9385e5-b6f1-4f2c-9876-ee1b618214fb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Change observed and cmip to df\n",
+    "\n",
+    "# Copy data \n",
+    "cmip_mean = ensemble_data_CMIP[\"Mean\"].copy()\n",
+    "\n",
+    "# Change into df\n",
+    "cmip_mean_df = cmip_mean.to_frame(name=\"discharge\")\n",
+    "observed_output_df = observed_output.to_frame(name=\"discharge\")\n",
+    "\n",
+    "# Select open water season period to exclude winter months from quantiles \n",
+    "def select_open_water_season(series_or_df):\n",
+    "\n",
+    "    data = series_or_df.copy()\n",
+    "    data.index = pd.to_datetime(data.index)\n",
+    "\n",
+    "    mask = (((data.index.month > 5) & (data.index.month < 10)) | ((data.index.month == 5) & (data.index.day >= 18)) |((data.index.month == 10) & (data.index.day <= 17)))\n",
+    "\n",
+    "    return data[mask]\n",
+    "\n",
+    "observed_open = select_open_water_season(observed_output_df[\"discharge\"])\n",
+    "cmip_open = select_open_water_season(cmip_mean_df[\"discharge\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 256,
+   "id": "f20e8bd2-58ba-4139-85aa-0a3bb4c0d647",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def quantile_mapping(observed, modelled, n):\n",
+    "    # Define a common quantile grid (e.g., 1000 points between 0 and 1)\n",
+    "    quantiles = np.linspace(0, 1, n)\n",
+    "\n",
+    "    # Sort the data\n",
+    "    observed_sorted = np.sort(observed)\n",
+    "    modelled_sorted = np.sort(modelled)\n",
+    "\n",
+    "    # Interpolate both series onto the common quantile grid\n",
+    "    observed_interpolated = interp1d(np.linspace(0, 1, len(observed_sorted)), observed_sorted, bounds_error=False, fill_value=\"extrapolate\")\n",
+    "    modelled_interpolated = interp1d(np.linspace(0, 1, len(modelled_sorted)), modelled_sorted, bounds_error=False, fill_value=\"extrapolate\")\n",
+    "\n",
+    "    observed_on_quantiles = observed_interpolated(quantiles)\n",
+    "    modelled_on_quantiles = modelled_interpolated(quantiles)\n",
+    "\n",
+    "    mapping_function = interp1d(modelled_on_quantiles, observed_on_quantiles, bounds_error=False, fill_value=\"extrapolate\")\n",
+    "\n",
+    "    return mapping_function"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 257,
+   "id": "7237db83-153e-4b5b-abf3-8efe0cb9cbe3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "qm_daily = quantile_mapping(observed_open, cmip_open, 1000)\n",
+    "# qm_daily = quantile_mapping(observed_output_df[\"discharge\"], cmip_mean_df[\"discharge\"], 1000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 258,
+   "id": "22ffb8c5-c529-42e2-af1b-7a9d41d37737",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Set 1</th>\n",
+       "      <th>Set 2</th>\n",
+       "      <th>Set 3</th>\n",
+       "      <th>Set 4</th>\n",
+       "      <th>Set 5</th>\n",
+       "      <th>Mean</th>\n",
+       "      <th>Observed discharge</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1995-01-02</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>197.006634</td>\n",
+       "      <td>196.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1995-01-03</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>197.006634</td>\n",
+       "      <td>194.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1995-01-04</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>197.006634</td>\n",
+       "      <td>191.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1995-01-05</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>197.006634</td>\n",
+       "      <td>186.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1995-01-06</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>197.006634</td>\n",
+       "      <td>180.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1996-05-11</th>\n",
+       "      <td>1200.499544</td>\n",
+       "      <td>1578.823395</td>\n",
+       "      <td>1934.690488</td>\n",
+       "      <td>2360.785587</td>\n",
+       "      <td>1667.775630</td>\n",
+       "      <td>1500.000000</td>\n",
+       "      <td>893.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1996-05-12</th>\n",
+       "      <td>1318.152547</td>\n",
+       "      <td>1569.218431</td>\n",
+       "      <td>1902.541667</td>\n",
+       "      <td>2299.738496</td>\n",
+       "      <td>1636.528975</td>\n",
+       "      <td>1496.259269</td>\n",
+       "      <td>860.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1996-05-13</th>\n",
+       "      <td>1448.767806</td>\n",
+       "      <td>1570.017330</td>\n",
+       "      <td>1893.828178</td>\n",
+       "      <td>2270.186058</td>\n",
+       "      <td>1622.187409</td>\n",
+       "      <td>1503.762222</td>\n",
+       "      <td>829.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1996-05-14</th>\n",
+       "      <td>1576.991892</td>\n",
+       "      <td>1565.454242</td>\n",
+       "      <td>1892.365134</td>\n",
+       "      <td>2250.935805</td>\n",
+       "      <td>1613.655879</td>\n",
+       "      <td>1510.000000</td>\n",
+       "      <td>804.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1996-05-15</th>\n",
+       "      <td>1700.065071</td>\n",
+       "      <td>1560.548065</td>\n",
+       "      <td>1888.298474</td>\n",
+       "      <td>2229.168385</td>\n",
+       "      <td>1604.135524</td>\n",
+       "      <td>1536.680811</td>\n",
+       "      <td>774.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>500 rows × 7 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  Set 1        Set 2        Set 3        Set 4        Set 5  \\\n",
+       "1995-01-02     0.000000     0.000000     0.000000     0.000000     0.000000   \n",
+       "1995-01-03     0.000000     0.000000     0.000000     0.000000     0.000000   \n",
+       "1995-01-04     0.000000     0.000000     0.000000     0.000000     0.000000   \n",
+       "1995-01-05     0.000000     0.000000     0.000000     0.000000     0.000000   \n",
+       "1995-01-06     0.000000     0.000000     0.000000     0.000000     0.000000   \n",
+       "...                 ...          ...          ...          ...          ...   \n",
+       "1996-05-11  1200.499544  1578.823395  1934.690488  2360.785587  1667.775630   \n",
+       "1996-05-12  1318.152547  1569.218431  1902.541667  2299.738496  1636.528975   \n",
+       "1996-05-13  1448.767806  1570.017330  1893.828178  2270.186058  1622.187409   \n",
+       "1996-05-14  1576.991892  1565.454242  1892.365134  2250.935805  1613.655879   \n",
+       "1996-05-15  1700.065071  1560.548065  1888.298474  2229.168385  1604.135524   \n",
+       "\n",
+       "                   Mean  Observed discharge  \n",
+       "1995-01-02   197.006634               196.0  \n",
+       "1995-01-03   197.006634               194.0  \n",
+       "1995-01-04   197.006634               191.0  \n",
+       "1995-01-05   197.006634               186.0  \n",
+       "1995-01-06   197.006634               180.0  \n",
+       "...                 ...                 ...  \n",
+       "1996-05-11  1500.000000               893.0  \n",
+       "1996-05-12  1496.259269               860.0  \n",
+       "1996-05-13  1503.762222               829.0  \n",
+       "1996-05-14  1510.000000               804.0  \n",
+       "1996-05-15  1536.680811               774.0  \n",
+       "\n",
+       "[500 rows x 7 columns]"
+      ]
+     },
+     "execution_count": 258,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cmip_corrected_values = qm_daily(cmip_mean_df[\"discharge\"])\n",
+    "\n",
+    "cmip_mean_qm = pd.Series(cmip_corrected_values,index=cmip_mean_df.index,name=\"Mean\")\n",
+    "cmip_mean_qm = cmip_mean_qm.fillna(0)\n",
+    "cmip_mean_qm = cmip_mean_qm.clip(lower=0)\n",
+    "\n",
+    "# cmip_mean_qm.head()\n",
+    "# cmip_mean_qm.head(500)\n",
+    "\n",
+    "ensemble_data_CMIP_QM = ensemble_data_CMIP.copy()\n",
+    "ensemble_data_CMIP_QM[\"Mean\"] = cmip_mean_qm\n",
+    "\n",
+    "ensemble_data_CMIP_QM.head(500)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 259,
+   "id": "53515218-430b-4fd5-8a39-bcd90273f144",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 640x480 with 0 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 2000x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "selected_year = 2013\n",
+    "\n",
+    "plot_ensemble(\n",
+    "    ensemble_data=ensemble_data_CMIP_QM,\n",
+    "    plot_start=pd.to_datetime(f\"{selected_year}-01-01\"),\n",
+    "    plot_end=pd.to_datetime(f\"{selected_year}-12-31\")\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 67,
+   "id": "95c6b9fe-de4c-4f0f-ba81-27cac73ed1b4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Qm_func = quantile_mapping(\n",
+    "#     observed=ensemble_data_ERA5, \n",
+    "#     modelled=ensemble_data_CMIP, \n",
+    "#     n=1000\n",
+    "# )"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 111,
+   "id": "bab56168-fcda-42d7-9d01-6341a90c4810",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Corrected = Qm_func(toekomstige data)"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "d017577d-79da-4a97-9522-81f4c307f3aa",
@@ -933,7 +1539,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 143,
+   "execution_count": 69,
    "id": "dcc14e37-5aea-4b00-ae71-32b68ee03d4a",
    "metadata": {},
    "outputs": [],
@@ -1013,33 +1619,91 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 147,
+   "execution_count": 99,
    "id": "7460b853-5619-44c9-ac89-3c6fc099bde6",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">observed        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.0</span>\n",
-       "modelmean     <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">878.0</span>\n",
-       "set_1        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1159.0</span>\n",
-       "set_2         <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">760.0</span>\n",
-       "set_3         <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">889.0</span>\n",
-       "set_4         <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">980.0</span>\n",
-       "set_5         <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">557.0</span>\n",
-       "set_avg       <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">870.0</span>\n",
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">observed     <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">488.0</span>\n",
+       "modelmean    <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">494.0</span>\n",
+       "set_1        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">659.0</span>\n",
+       "set_2        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">489.0</span>\n",
+       "set_3        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">485.0</span>\n",
+       "set_4        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">439.0</span>\n",
+       "set_5        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">423.0</span>\n",
+       "set_avg      <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">498.0</span>\n",
+       "dtype: float64\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "observed     \u001b[1;36m488.0\u001b[0m\n",
+       "modelmean    \u001b[1;36m494.0\u001b[0m\n",
+       "set_1        \u001b[1;36m659.0\u001b[0m\n",
+       "set_2        \u001b[1;36m489.0\u001b[0m\n",
+       "set_3        \u001b[1;36m485.0\u001b[0m\n",
+       "set_4        \u001b[1;36m439.0\u001b[0m\n",
+       "set_5        \u001b[1;36m423.0\u001b[0m\n",
+       "set_avg      \u001b[1;36m498.0\u001b[0m\n",
+       "dtype: float64\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">observed     <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">532.0</span>\n",
+       "modelmean    <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">538.0</span>\n",
+       "set_1        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">711.0</span>\n",
+       "set_2        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">464.0</span>\n",
+       "set_3        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">546.0</span>\n",
+       "set_4        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">558.0</span>\n",
+       "set_5        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">376.0</span>\n",
+       "set_avg      <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">532.0</span>\n",
+       "dtype: float64\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "observed     \u001b[1;36m532.0\u001b[0m\n",
+       "modelmean    \u001b[1;36m538.0\u001b[0m\n",
+       "set_1        \u001b[1;36m711.0\u001b[0m\n",
+       "set_2        \u001b[1;36m464.0\u001b[0m\n",
+       "set_3        \u001b[1;36m546.0\u001b[0m\n",
+       "set_4        \u001b[1;36m558.0\u001b[0m\n",
+       "set_5        \u001b[1;36m376.0\u001b[0m\n",
+       "set_avg      \u001b[1;36m532.0\u001b[0m\n",
+       "dtype: float64\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">observed     <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">532.0</span>\n",
+       "modelmean    <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">770.0</span>\n",
+       "set_1        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">946.0</span>\n",
+       "set_2        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">769.0</span>\n",
+       "set_3        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">772.0</span>\n",
+       "set_4        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">716.0</span>\n",
+       "set_5        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">671.0</span>\n",
+       "set_avg      <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">776.0</span>\n",
        "dtype: float64\n",
        "</pre>\n"
       ],
       "text/plain": [
-       "observed        \u001b[1;36m0.0\u001b[0m\n",
-       "modelmean     \u001b[1;36m878.0\u001b[0m\n",
-       "set_1        \u001b[1;36m1159.0\u001b[0m\n",
-       "set_2         \u001b[1;36m760.0\u001b[0m\n",
-       "set_3         \u001b[1;36m889.0\u001b[0m\n",
-       "set_4         \u001b[1;36m980.0\u001b[0m\n",
-       "set_5         \u001b[1;36m557.0\u001b[0m\n",
-       "set_avg       \u001b[1;36m870.0\u001b[0m\n",
+       "observed     \u001b[1;36m532.0\u001b[0m\n",
+       "modelmean    \u001b[1;36m770.0\u001b[0m\n",
+       "set_1        \u001b[1;36m946.0\u001b[0m\n",
+       "set_2        \u001b[1;36m769.0\u001b[0m\n",
+       "set_3        \u001b[1;36m772.0\u001b[0m\n",
+       "set_4        \u001b[1;36m716.0\u001b[0m\n",
+       "set_5        \u001b[1;36m671.0\u001b[0m\n",
+       "set_avg      \u001b[1;36m776.0\u001b[0m\n",
        "dtype: float64\n"
       ]
      },
@@ -1081,202 +1745,178 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>2026</td>\n",
+       "      <td>1996</td>\n",
        "      <td>0</td>\n",
-       "      <td>22</td>\n",
-       "      <td>48</td>\n",
-       "      <td>16</td>\n",
-       "      <td>19</td>\n",
-       "      <td>19</td>\n",
-       "      <td>20</td>\n",
-       "      <td>24.0</td>\n",
+       "      <td>110</td>\n",
+       "      <td>111</td>\n",
+       "      <td>100</td>\n",
+       "      <td>99</td>\n",
+       "      <td>101</td>\n",
+       "      <td>113</td>\n",
+       "      <td>105.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>2027</td>\n",
+       "      <td>1997</td>\n",
        "      <td>0</td>\n",
+       "      <td>38</td>\n",
+       "      <td>52</td>\n",
        "      <td>34</td>\n",
-       "      <td>51</td>\n",
-       "      <td>25</td>\n",
        "      <td>36</td>\n",
        "      <td>39</td>\n",
-       "      <td>22</td>\n",
-       "      <td>35.0</td>\n",
+       "      <td>35</td>\n",
+       "      <td>39.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>2028</td>\n",
+       "      <td>1998</td>\n",
+       "      <td>44</td>\n",
+       "      <td>6</td>\n",
+       "      <td>11</td>\n",
        "      <td>0</td>\n",
-       "      <td>22</td>\n",
-       "      <td>27</td>\n",
-       "      <td>19</td>\n",
-       "      <td>22</td>\n",
-       "      <td>22</td>\n",
-       "      <td>13</td>\n",
-       "      <td>21.0</td>\n",
+       "      <td>5</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>4.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>2029</td>\n",
-       "      <td>0</td>\n",
-       "      <td>25</td>\n",
-       "      <td>38</td>\n",
+       "      <td>1999</td>\n",
+       "      <td>35</td>\n",
        "      <td>20</td>\n",
-       "      <td>25</td>\n",
-       "      <td>26</td>\n",
-       "      <td>10</td>\n",
-       "      <td>24.0</td>\n",
+       "      <td>39</td>\n",
+       "      <td>7</td>\n",
+       "      <td>21</td>\n",
+       "      <td>24</td>\n",
+       "      <td>2</td>\n",
+       "      <td>19.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>2030</td>\n",
-       "      <td>0</td>\n",
-       "      <td>75</td>\n",
-       "      <td>86</td>\n",
-       "      <td>71</td>\n",
-       "      <td>73</td>\n",
-       "      <td>82</td>\n",
-       "      <td>54</td>\n",
-       "      <td>73.0</td>\n",
+       "      <td>2000</td>\n",
+       "      <td>20</td>\n",
+       "      <td>29</td>\n",
+       "      <td>36</td>\n",
+       "      <td>26</td>\n",
+       "      <td>29</td>\n",
+       "      <td>29</td>\n",
+       "      <td>22</td>\n",
+       "      <td>28.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5</th>\n",
-       "      <td>2031</td>\n",
+       "      <td>2001</td>\n",
+       "      <td>60</td>\n",
        "      <td>0</td>\n",
-       "      <td>45</td>\n",
-       "      <td>52</td>\n",
-       "      <td>29</td>\n",
-       "      <td>42</td>\n",
-       "      <td>47</td>\n",
-       "      <td>4</td>\n",
-       "      <td>35.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6</th>\n",
-       "      <td>2032</td>\n",
-       "      <td>0</td>\n",
-       "      <td>52</td>\n",
-       "      <td>62</td>\n",
-       "      <td>46</td>\n",
+       "      <td>2002</td>\n",
        "      <td>52</td>\n",
-       "      <td>60</td>\n",
-       "      <td>32</td>\n",
-       "      <td>50.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>8</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>7</th>\n",
-       "      <td>2033</td>\n",
+       "      <td>2003</td>\n",
+       "      <td>51</td>\n",
+       "      <td>6</td>\n",
+       "      <td>21</td>\n",
        "      <td>0</td>\n",
-       "      <td>44</td>\n",
-       "      <td>49</td>\n",
-       "      <td>41</td>\n",
-       "      <td>48</td>\n",
-       "      <td>50</td>\n",
-       "      <td>28</td>\n",
-       "      <td>43.0</td>\n",
+       "      <td>7</td>\n",
+       "      <td>9</td>\n",
+       "      <td>0</td>\n",
+       "      <td>7.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>8</th>\n",
-       "      <td>2034</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>11</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>14</td>\n",
+       "      <td>2004</td>\n",
+       "      <td>5</td>\n",
+       "      <td>23</td>\n",
+       "      <td>41</td>\n",
+       "      <td>17</td>\n",
+       "      <td>27</td>\n",
+       "      <td>31</td>\n",
        "      <td>0</td>\n",
-       "      <td>5.0</td>\n",
+       "      <td>23.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>9</th>\n",
-       "      <td>2035</td>\n",
+       "      <td>2005</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
        "      <td>0</td>\n",
-       "      <td>143</td>\n",
-       "      <td>141</td>\n",
-       "      <td>145</td>\n",
-       "      <td>143</td>\n",
-       "      <td>145</td>\n",
-       "      <td>142</td>\n",
-       "      <td>143.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>10</th>\n",
-       "      <td>2036</td>\n",
-       "      <td>0</td>\n",
-       "      <td>35</td>\n",
-       "      <td>43</td>\n",
+       "      <td>2006</td>\n",
+       "      <td>42</td>\n",
+       "      <td>24</td>\n",
+       "      <td>40</td>\n",
+       "      <td>20</td>\n",
        "      <td>31</td>\n",
-       "      <td>35</td>\n",
-       "      <td>39</td>\n",
-       "      <td>25</td>\n",
-       "      <td>35.0</td>\n",
+       "      <td>29</td>\n",
+       "      <td>0</td>\n",
+       "      <td>24.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>11</th>\n",
-       "      <td>2037</td>\n",
-       "      <td>0</td>\n",
-       "      <td>35</td>\n",
+       "      <td>2007</td>\n",
+       "      <td>25</td>\n",
+       "      <td>26</td>\n",
        "      <td>42</td>\n",
-       "      <td>30</td>\n",
-       "      <td>33</td>\n",
-       "      <td>36</td>\n",
-       "      <td>27</td>\n",
-       "      <td>34.0</td>\n",
+       "      <td>15</td>\n",
+       "      <td>29</td>\n",
+       "      <td>31</td>\n",
+       "      <td>7</td>\n",
+       "      <td>25.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>12</th>\n",
-       "      <td>2038</td>\n",
-       "      <td>0</td>\n",
-       "      <td>63</td>\n",
-       "      <td>75</td>\n",
-       "      <td>47</td>\n",
-       "      <td>60</td>\n",
-       "      <td>73</td>\n",
-       "      <td>40</td>\n",
-       "      <td>59.0</td>\n",
+       "      <td>2008</td>\n",
+       "      <td>37</td>\n",
+       "      <td>21</td>\n",
+       "      <td>38</td>\n",
+       "      <td>18</td>\n",
+       "      <td>23</td>\n",
+       "      <td>23</td>\n",
+       "      <td>6</td>\n",
+       "      <td>22.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>13</th>\n",
-       "      <td>2039</td>\n",
+       "      <td>2009</td>\n",
+       "      <td>42</td>\n",
+       "      <td>13</td>\n",
+       "      <td>23</td>\n",
+       "      <td>8</td>\n",
+       "      <td>14</td>\n",
+       "      <td>16</td>\n",
        "      <td>0</td>\n",
-       "      <td>53</td>\n",
-       "      <td>59</td>\n",
-       "      <td>49</td>\n",
-       "      <td>53</td>\n",
-       "      <td>55</td>\n",
-       "      <td>38</td>\n",
-       "      <td>51.0</td>\n",
+       "      <td>12.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>14</th>\n",
-       "      <td>2040</td>\n",
-       "      <td>0</td>\n",
-       "      <td>46</td>\n",
-       "      <td>73</td>\n",
-       "      <td>49</td>\n",
-       "      <td>55</td>\n",
-       "      <td>44</td>\n",
-       "      <td>8</td>\n",
-       "      <td>46.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>15</th>\n",
-       "      <td>2041</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
+       "      <td>2010</td>\n",
        "      <td>6</td>\n",
-       "      <td>3</td>\n",
-       "      <td>0</td>\n",
-       "      <td>3</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>16</th>\n",
-       "      <td>2042</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
-       "      <td>2</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
@@ -1284,100 +1924,52 @@
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>17</th>\n",
-       "      <td>2043</td>\n",
-       "      <td>0</td>\n",
-       "      <td>30</td>\n",
-       "      <td>53</td>\n",
-       "      <td>20</td>\n",
-       "      <td>35</td>\n",
-       "      <td>43</td>\n",
-       "      <td>11</td>\n",
-       "      <td>32.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>18</th>\n",
-       "      <td>2044</td>\n",
-       "      <td>0</td>\n",
-       "      <td>59</td>\n",
-       "      <td>63</td>\n",
-       "      <td>56</td>\n",
-       "      <td>60</td>\n",
-       "      <td>61</td>\n",
-       "      <td>48</td>\n",
-       "      <td>58.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>19</th>\n",
-       "      <td>2045</td>\n",
-       "      <td>0</td>\n",
+       "      <th>15</th>\n",
+       "      <td>2011</td>\n",
+       "      <td>36</td>\n",
        "      <td>0</td>\n",
-       "      <td>15</td>\n",
+       "      <td>7</td>\n",
        "      <td>0</td>\n",
        "      <td>3</td>\n",
-       "      <td>2</td>\n",
        "      <td>0</td>\n",
-       "      <td>4.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>20</th>\n",
-       "      <td>2046</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
+       "      <th>16</th>\n",
+       "      <td>2012</td>\n",
        "      <td>13</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>3.0</td>\n",
+       "      <td>91</td>\n",
+       "      <td>91</td>\n",
+       "      <td>88</td>\n",
+       "      <td>90</td>\n",
+       "      <td>91</td>\n",
+       "      <td>64</td>\n",
+       "      <td>85.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>21</th>\n",
-       "      <td>2047</td>\n",
-       "      <td>0</td>\n",
-       "      <td>23</td>\n",
-       "      <td>34</td>\n",
-       "      <td>15</td>\n",
-       "      <td>23</td>\n",
-       "      <td>26</td>\n",
-       "      <td>0</td>\n",
-       "      <td>20.0</td>\n",
+       "      <th>17</th>\n",
+       "      <td>2013</td>\n",
+       "      <td>21</td>\n",
+       "      <td>131</td>\n",
+       "      <td>130</td>\n",
+       "      <td>131</td>\n",
+       "      <td>132</td>\n",
+       "      <td>133</td>\n",
+       "      <td>127</td>\n",
+       "      <td>131.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>22</th>\n",
-       "      <td>2048</td>\n",
+       "      <th>18</th>\n",
+       "      <td>2014</td>\n",
+       "      <td>43</td>\n",
        "      <td>0</td>\n",
-       "      <td>24</td>\n",
-       "      <td>37</td>\n",
-       "      <td>15</td>\n",
-       "      <td>24</td>\n",
-       "      <td>29</td>\n",
-       "      <td>11</td>\n",
-       "      <td>23.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>23</th>\n",
-       "      <td>2049</td>\n",
+       "      <td>21</td>\n",
        "      <td>0</td>\n",
-       "      <td>33</td>\n",
-       "      <td>57</td>\n",
-       "      <td>27</td>\n",
-       "      <td>32</td>\n",
-       "      <td>49</td>\n",
-       "      <td>24</td>\n",
-       "      <td>38.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>24</th>\n",
-       "      <td>2050</td>\n",
        "      <td>0</td>\n",
-       "      <td>15</td>\n",
-       "      <td>22</td>\n",
-       "      <td>6</td>\n",
-       "      <td>15</td>\n",
-       "      <td>16</td>\n",
        "      <td>0</td>\n",
-       "      <td>12.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>4.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1385,44 +1977,38 @@
       ],
       "text/plain": [
        "    year  observed  modelmean  set_1  set_2  set_3  set_4  set_5  set_avg\n",
-       "0   2026         0         22     48     16     19     19     20     24.0\n",
-       "1   2027         0         34     51     25     36     39     22     35.0\n",
-       "2   2028         0         22     27     19     22     22     13     21.0\n",
-       "3   2029         0         25     38     20     25     26     10     24.0\n",
-       "4   2030         0         75     86     71     73     82     54     73.0\n",
-       "5   2031         0         45     52     29     42     47      4     35.0\n",
-       "6   2032         0         52     62     46     52     60     32     50.0\n",
-       "7   2033         0         44     49     41     48     50     28     43.0\n",
-       "8   2034         0          0     11      0      1     14      0      5.0\n",
-       "9   2035         0        143    141    145    143    145    142    143.0\n",
-       "10  2036         0         35     43     31     35     39     25     35.0\n",
-       "11  2037         0         35     42     30     33     36     27     34.0\n",
-       "12  2038         0         63     75     47     60     73     40     59.0\n",
-       "13  2039         0         53     59     49     53     55     38     51.0\n",
-       "14  2040         0         46     73     49     55     44      8     46.0\n",
-       "15  2041         0          0      6      3      0      3      0      2.0\n",
-       "16  2042         0          0      2      0      0      0      0      0.0\n",
-       "17  2043         0         30     53     20     35     43     11     32.0\n",
-       "18  2044         0         59     63     56     60     61     48     58.0\n",
-       "19  2045         0          0     15      0      3      2      0      4.0\n",
-       "20  2046         0          0     13      0      0      0      0      3.0\n",
-       "21  2047         0         23     34     15     23     26      0     20.0\n",
-       "22  2048         0         24     37     15     24     29     11     23.0\n",
-       "23  2049         0         33     57     27     32     49     24     38.0\n",
-       "24  2050         0         15     22      6     15     16      0     12.0"
+       "0   1996         0        110    111    100     99    101    113    105.0\n",
+       "1   1997         0         38     52     34     36     39     35     39.0\n",
+       "2   1998        44          6     11      0      5      2      0      4.0\n",
+       "3   1999        35         20     39      7     21     24      2     19.0\n",
+       "4   2000        20         29     36     26     29     29     22     28.0\n",
+       "5   2001        60          0      0      0      0      0      0      0.0\n",
+       "6   2002        52          0      8      0      0      0      0      2.0\n",
+       "7   2003        51          6     21      0      7      9      0      7.0\n",
+       "8   2004         5         23     41     17     27     31      0     23.0\n",
+       "9   2005         0          0      0      0      0      0      0      0.0\n",
+       "10  2006        42         24     40     20     31     29      0     24.0\n",
+       "11  2007        25         26     42     15     29     31      7     25.0\n",
+       "12  2008        37         21     38     18     23     23      6     22.0\n",
+       "13  2009        42         13     23      8     14     16      0     12.0\n",
+       "14  2010         6          0      0      0      0      0      0      0.0\n",
+       "15  2011        36          0      7      0      3      0      0      2.0\n",
+       "16  2012        13         91     91     88     90     91     64     85.0\n",
+       "17  2013        21        131    130    131    132    133    127    131.0\n",
+       "18  2014        43          0     21      0      0      0      0      4.0"
       ]
      },
-     "execution_count": 147,
+     "execution_count": 99,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "# lowflow_ERA5 = lowflow_counter_ensemble(\n",
-    "#     ensemble_data=ensemble_data_ERA5,\n",
-    "#     start_date=evaluation_start,\n",
-    "#     end_date=validation_end_date\n",
-    "# )\n",
+    "lowflow_ERA5 = lowflow_counter_ensemble(\n",
+    "    ensemble_data=ensemble_data_ERA5,\n",
+    "    start_date=evaluation_start,\n",
+    "    end_date=validation_end_date\n",
+    ")\n",
     "\n",
     "lowflow_CMIP = lowflow_counter_ensemble(\n",
     "    ensemble_data=ensemble_data_CMIP,\n",
@@ -1431,7 +2017,7 @@
     ")\n",
     "\n",
     "# lowflow_QDM = lowflow_counter_ensemble(\n",
-    "#     ensemble_data=ensemble_data_QDM,\n",
+    "#     ensemble_data=ensemble_data_CMIP_corrected,\n",
     "#     start_date=evaluation_start,\n",
     "#     end_date=validation_end_date\n",
     "# )\n",
@@ -1449,19 +2035,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 145,
+   "execution_count": 112,
    "id": "1e9e205d-08bf-4f19-9b12-a0141a4fad99",
    "metadata": {},
    "outputs": [],
    "source": [
-    "def rank(lowflow_ERA5, lowflow_CMIP):\n",
+    "def rank(lowflow_ERA5, lowflow_CMIP, lowflow_QDM):\n",
     "\n",
     "    # Combine tables\n",
     "    rank_table = pd.DataFrame({\n",
     "        \"Observed\": np.sort(lowflow_ERA5[\"observed\"]),\n",
     "        \"ERA5\": np.sort(lowflow_ERA5[\"set_avg\"]),\n",
     "        \"CMIP6\": np.sort(lowflow_CMIP[\"set_avg\"]),\n",
-    "        \"QDM\": np.sort(lowflow_QDM[\"set_avg\"])\n",
+    "        # \"QDM\": np.sort(lowflow_QDM[\"set_avg\"])\n",
     "    })\n",
     "    \n",
     "    rank_table.insert(0, \"rank\", range(1, len(rank_table) + 1))\n",
@@ -1471,89 +2057,449 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 146,
+   "execution_count": 113,
    "id": "02d8a545-838c-4da5-9935-22f34d49f4ee",
    "metadata": {},
    "outputs": [
     {
-     "ename": "ValueError",
-     "evalue": "All arrays must be of the same length",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[146], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m rank_table \u001b[38;5;241m=\u001b[39m \u001b[43mrank\u001b[49m\u001b[43m(\u001b[49m\u001b[43mlowflow_ERA5\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlowflow_CMIP\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m      2\u001b[0m rank_table \u001b[38;5;241m=\u001b[39m rank(lowflow_ERA5, lowflow_CMIP)\n\u001b[1;32m      4\u001b[0m rank_table\n",
-      "Cell \u001b[0;32mIn[145], line 4\u001b[0m, in \u001b[0;36mrank\u001b[0;34m(lowflow_ERA5, lowflow_CMIP)\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21mrank\u001b[39m(lowflow_ERA5, lowflow_CMIP):\n\u001b[1;32m      2\u001b[0m \n\u001b[1;32m      3\u001b[0m     \u001b[38;5;66;03m# Combine tables\u001b[39;00m\n\u001b[0;32m----> 4\u001b[0m     rank_table \u001b[38;5;241m=\u001b[39m \u001b[43mpd\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mDataFrame\u001b[49m\u001b[43m(\u001b[49m\u001b[43m{\u001b[49m\n\u001b[1;32m      5\u001b[0m \u001b[43m        \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mObserved\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msort\u001b[49m\u001b[43m(\u001b[49m\u001b[43mlowflow_ERA5\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mobserved\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m      6\u001b[0m \u001b[43m        \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mERA5\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msort\u001b[49m\u001b[43m(\u001b[49m\u001b[43mlowflow_ERA5\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mset_avg\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m      7\u001b[0m \u001b[43m        \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mCMIP6\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msort\u001b[49m\u001b[43m(\u001b[49m\u001b[43mlowflow_CMIP\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mset_avg\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m      8\u001b[0m \u001b[43m        \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mQDM\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msort\u001b[49m\u001b[43m(\u001b[49m\u001b[43mlowflow_QDM\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mset_avg\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m      9\u001b[0m \u001b[43m    \u001b[49m\u001b[43m}\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     11\u001b[0m     rank_table\u001b[38;5;241m.\u001b[39minsert(\u001b[38;5;241m0\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mrank\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28mrange\u001b[39m(\u001b[38;5;241m1\u001b[39m, \u001b[38;5;28mlen\u001b[39m(rank_table) \u001b[38;5;241m+\u001b[39m \u001b[38;5;241m1\u001b[39m))\n\u001b[1;32m     13\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m rank_table\n",
-      "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/pandas/core/frame.py:778\u001b[0m, in \u001b[0;36mDataFrame.__init__\u001b[0;34m(self, data, index, columns, dtype, copy)\u001b[0m\n\u001b[1;32m    772\u001b[0m     mgr \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_init_mgr(\n\u001b[1;32m    773\u001b[0m         data, axes\u001b[38;5;241m=\u001b[39m{\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mindex\u001b[39m\u001b[38;5;124m\"\u001b[39m: index, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcolumns\u001b[39m\u001b[38;5;124m\"\u001b[39m: columns}, dtype\u001b[38;5;241m=\u001b[39mdtype, copy\u001b[38;5;241m=\u001b[39mcopy\n\u001b[1;32m    774\u001b[0m     )\n\u001b[1;32m    776\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(data, \u001b[38;5;28mdict\u001b[39m):\n\u001b[1;32m    777\u001b[0m     \u001b[38;5;66;03m# GH#38939 de facto copy defaults to False only in non-dict cases\u001b[39;00m\n\u001b[0;32m--> 778\u001b[0m     mgr \u001b[38;5;241m=\u001b[39m \u001b[43mdict_to_mgr\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdata\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mindex\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcolumns\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdtype\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdtype\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcopy\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcopy\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtyp\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmanager\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    779\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(data, ma\u001b[38;5;241m.\u001b[39mMaskedArray):\n\u001b[1;32m    780\u001b[0m     \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mnumpy\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mma\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m mrecords\n",
-      "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/pandas/core/internals/construction.py:503\u001b[0m, in \u001b[0;36mdict_to_mgr\u001b[0;34m(data, index, columns, dtype, typ, copy)\u001b[0m\n\u001b[1;32m    499\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m    500\u001b[0m         \u001b[38;5;66;03m# dtype check to exclude e.g. range objects, scalars\u001b[39;00m\n\u001b[1;32m    501\u001b[0m         arrays \u001b[38;5;241m=\u001b[39m [x\u001b[38;5;241m.\u001b[39mcopy() \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mhasattr\u001b[39m(x, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdtype\u001b[39m\u001b[38;5;124m\"\u001b[39m) \u001b[38;5;28;01melse\u001b[39;00m x \u001b[38;5;28;01mfor\u001b[39;00m x \u001b[38;5;129;01min\u001b[39;00m arrays]\n\u001b[0;32m--> 503\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43marrays_to_mgr\u001b[49m\u001b[43m(\u001b[49m\u001b[43marrays\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcolumns\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mindex\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdtype\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdtype\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtyp\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtyp\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mconsolidate\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcopy\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/pandas/core/internals/construction.py:114\u001b[0m, in \u001b[0;36marrays_to_mgr\u001b[0;34m(arrays, columns, index, dtype, verify_integrity, typ, consolidate)\u001b[0m\n\u001b[1;32m    111\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m verify_integrity:\n\u001b[1;32m    112\u001b[0m     \u001b[38;5;66;03m# figure out the index, if necessary\u001b[39;00m\n\u001b[1;32m    113\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m index \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m--> 114\u001b[0m         index \u001b[38;5;241m=\u001b[39m \u001b[43m_extract_index\u001b[49m\u001b[43m(\u001b[49m\u001b[43marrays\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    115\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m    116\u001b[0m         index \u001b[38;5;241m=\u001b[39m ensure_index(index)\n",
-      "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/pandas/core/internals/construction.py:677\u001b[0m, in \u001b[0;36m_extract_index\u001b[0;34m(data)\u001b[0m\n\u001b[1;32m    675\u001b[0m lengths \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mlist\u001b[39m(\u001b[38;5;28mset\u001b[39m(raw_lengths))\n\u001b[1;32m    676\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(lengths) \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m1\u001b[39m:\n\u001b[0;32m--> 677\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mAll arrays must be of the same length\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m    679\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m have_dicts:\n\u001b[1;32m    680\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[1;32m    681\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mMixing dicts with non-Series may lead to ambiguous ordering.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    682\u001b[0m     )\n",
-      "\u001b[0;31mValueError\u001b[0m: All arrays must be of the same length"
-     ]
-    }
-   ],
-   "source": [
-    "rank_table = rank(lowflow_ERA5, lowflow_CMIP)\n",
-    "rank_table = rank(lowflow_ERA5, lowflow_CMIP)\n",
-    "\n",
-    "rank_table"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "f87182f3-7a63-4856-9594-f53b5dd421b8",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "cumsum_table = pd.DataFrame({\n",
-    "    \"Observed_cumsum\": rank_table[\"Observed\"].cumsum(),\n",
-    "     \"ERA5_cumsum\": rank_table[\"ERA5\"].cumsum(),\n",
-    "    \"CMIP6_cumsum\": rank_table[\"CMIP6\"].cumsum(),\n",
-    "    \"QDM_cumsum\": rank_table[\"QDM\"].cumsum()\n",
-    "})\n",
-    "\n",
-    "cumsum_table"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "78105310-3388-48fa-9471-54003b019753",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def plot_cumsum(rank_table):\n",
-    "\n",
-    "    plt.figure(figsize=(8, 5))\n",
-    "\n",
-    "    # Plot cumsum for all columns, skipping rank column\n",
-    "    for i in range(1, len(rank_table.columns)):\n",
-    "        plt.plot(\n",
-    "            rank_table[\"rank\"],\n",
-    "            rank_table[rank_table.columns[i]].cumsum(),\n",
-    "            marker=\"o\",\n",
-    "            label=rank_table.columns[i]\n",
-    "        )\n",
-    "\n",
-    "    # Plotting\n",
-    "    plt.xlabel(\"Ranked years\")\n",
-    "    plt.ylabel(\"Cumulative low flow days\")\n",
-    "    plt.xticks(rank_table[\"rank\"])\n",
-    "    plt.title(\"Cumulative annual low flow days\")\n",
-    "    # plt.grid(True)\n",
-    "    plt.legend()\n",
-    "    plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "b3fa8488-2d3f-4dbd-b82c-e3f8c5bb04d8",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "plot_cumsum(rank_table)"
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>rank</th>\n",
+       "      <th>Observed</th>\n",
+       "      <th>ERA5</th>\n",
+       "      <th>CMIP6</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>5</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>2.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>6</td>\n",
+       "      <td>6</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>4.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>7</td>\n",
+       "      <td>13</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>4.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>8</td>\n",
+       "      <td>20</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>7.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>9</td>\n",
+       "      <td>21</td>\n",
+       "      <td>17.0</td>\n",
+       "      <td>12.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>10</td>\n",
+       "      <td>25</td>\n",
+       "      <td>19.0</td>\n",
+       "      <td>19.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>11</td>\n",
+       "      <td>35</td>\n",
+       "      <td>22.0</td>\n",
+       "      <td>22.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>12</td>\n",
+       "      <td>36</td>\n",
+       "      <td>32.0</td>\n",
+       "      <td>23.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>13</td>\n",
+       "      <td>37</td>\n",
+       "      <td>34.0</td>\n",
+       "      <td>24.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>14</td>\n",
+       "      <td>42</td>\n",
+       "      <td>37.0</td>\n",
+       "      <td>25.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>15</td>\n",
+       "      <td>42</td>\n",
+       "      <td>41.0</td>\n",
+       "      <td>28.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>16</td>\n",
+       "      <td>43</td>\n",
+       "      <td>54.0</td>\n",
+       "      <td>39.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>17</td>\n",
+       "      <td>51</td>\n",
+       "      <td>58.0</td>\n",
+       "      <td>85.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>18</td>\n",
+       "      <td>52</td>\n",
+       "      <td>60.0</td>\n",
+       "      <td>105.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>19</td>\n",
+       "      <td>60</td>\n",
+       "      <td>106.0</td>\n",
+       "      <td>131.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    rank  Observed   ERA5  CMIP6\n",
+       "0      1         0    0.0    0.0\n",
+       "1      2         0    0.0    0.0\n",
+       "2      3         0    0.0    0.0\n",
+       "3      4         0    0.0    2.0\n",
+       "4      5         5    1.0    2.0\n",
+       "5      6         6    2.0    4.0\n",
+       "6      7        13    5.0    4.0\n",
+       "7      8        20   10.0    7.0\n",
+       "8      9        21   17.0   12.0\n",
+       "9     10        25   19.0   19.0\n",
+       "10    11        35   22.0   22.0\n",
+       "11    12        36   32.0   23.0\n",
+       "12    13        37   34.0   24.0\n",
+       "13    14        42   37.0   25.0\n",
+       "14    15        42   41.0   28.0\n",
+       "15    16        43   54.0   39.0\n",
+       "16    17        51   58.0   85.0\n",
+       "17    18        52   60.0  105.0\n",
+       "18    19        60  106.0  131.0"
+      ]
+     },
+     "execution_count": 113,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "rank_table = rank(lowflow_ERA5, lowflow_CMIP, lowflow_QDM)\n",
+    "# rank_table = rank(lowflow_ERA5, lowflow_CMIP)\n",
+    "\n",
+    "rank_table"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 114,
+   "id": "f87182f3-7a63-4856-9594-f53b5dd421b8",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Observed_cumsum</th>\n",
+       "      <th>ERA5_cumsum</th>\n",
+       "      <th>CMIP6_cumsum</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>4.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>11</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>8.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>24</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>12.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>44</td>\n",
+       "      <td>18.0</td>\n",
+       "      <td>19.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>65</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>31.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>90</td>\n",
+       "      <td>54.0</td>\n",
+       "      <td>50.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>125</td>\n",
+       "      <td>76.0</td>\n",
+       "      <td>72.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>161</td>\n",
+       "      <td>108.0</td>\n",
+       "      <td>95.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>198</td>\n",
+       "      <td>142.0</td>\n",
+       "      <td>119.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>240</td>\n",
+       "      <td>179.0</td>\n",
+       "      <td>144.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>282</td>\n",
+       "      <td>220.0</td>\n",
+       "      <td>172.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>325</td>\n",
+       "      <td>274.0</td>\n",
+       "      <td>211.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>376</td>\n",
+       "      <td>332.0</td>\n",
+       "      <td>296.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>428</td>\n",
+       "      <td>392.0</td>\n",
+       "      <td>401.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>488</td>\n",
+       "      <td>498.0</td>\n",
+       "      <td>532.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    Observed_cumsum  ERA5_cumsum  CMIP6_cumsum\n",
+       "0                 0          0.0           0.0\n",
+       "1                 0          0.0           0.0\n",
+       "2                 0          0.0           0.0\n",
+       "3                 0          0.0           2.0\n",
+       "4                 5          1.0           4.0\n",
+       "5                11          3.0           8.0\n",
+       "6                24          8.0          12.0\n",
+       "7                44         18.0          19.0\n",
+       "8                65         35.0          31.0\n",
+       "9                90         54.0          50.0\n",
+       "10              125         76.0          72.0\n",
+       "11              161        108.0          95.0\n",
+       "12              198        142.0         119.0\n",
+       "13              240        179.0         144.0\n",
+       "14              282        220.0         172.0\n",
+       "15              325        274.0         211.0\n",
+       "16              376        332.0         296.0\n",
+       "17              428        392.0         401.0\n",
+       "18              488        498.0         532.0"
+      ]
+     },
+     "execution_count": 114,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cumsum_table = pd.DataFrame({\n",
+    "    \"Observed_cumsum\": rank_table[\"Observed\"].cumsum(),\n",
+    "     \"ERA5_cumsum\": rank_table[\"ERA5\"].cumsum(),\n",
+    "    \"CMIP6_cumsum\": rank_table[\"CMIP6\"].cumsum(),\n",
+    "    # \"QDM_cumsum\": rank_table[\"QDM\"].cumsum()\n",
+    "})\n",
+    "\n",
+    "cumsum_table"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 115,
+   "id": "78105310-3388-48fa-9471-54003b019753",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def plot_cumsum(rank_table):\n",
+    "\n",
+    "    plt.figure(figsize=(8, 5))\n",
+    "\n",
+    "    # Plot cumsum for all columns, skipping rank column\n",
+    "    for i in range(1, len(rank_table.columns)):\n",
+    "        plt.plot(\n",
+    "            rank_table[\"rank\"],\n",
+    "            rank_table[rank_table.columns[i]].cumsum(),\n",
+    "            marker=\"o\",\n",
+    "            label=rank_table.columns[i]\n",
+    "        )\n",
+    "\n",
+    "    # Plotting\n",
+    "    plt.xlabel(\"Ranked years\")\n",
+    "    plt.ylabel(\"Cumulative low flow days\")\n",
+    "    plt.xticks(rank_table[\"rank\"])\n",
+    "    plt.title(\"Cumulative annual low flow days\")\n",
+    "    # plt.grid(True)\n",
+    "    plt.legend()\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 116,
+   "id": "b3fa8488-2d3f-4dbd-b82c-e3f8c5bb04d8",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 800x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_cumsum(rank_table)"
    ]
   },
   {
@@ -1566,7 +2512,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 105,
    "id": "cee6e4aa-f4be-45c7-9d7a-d70782c60ad4",
    "metadata": {},
    "outputs": [],
@@ -1594,71 +2540,167 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 107,
    "id": "ccfd9d00-8165-4a95-a9bc-04d017c2d150",
    "metadata": {},
    "outputs": [],
    "source": [
-    "def correct_discharge_ensemble(\n",
-    "    ensemble_data,\n",
-    "    observed_output,\n",
-    "    start_date,\n",
-    "    end_date,\n",
-    "    n=1000\n",
-    "):\n",
+    "def correct_discharge_ensemble(ensemble_data, reference_data, start_date, end_date, n=1000):\n",
     "\n",
     "    corrected_data = pd.DataFrame(index=ensemble_data.index)\n",
     "\n",
-    "    # Prepare observed discharge\n",
-    "    observed = observed_output.copy()\n",
-    "    observed.index = pd.to_datetime(observed.index).tz_localize(None).normalize()\n",
+    "    # Prepare CMIP data\n",
+    "    target = ensemble_data.copy()\n",
+    "    target.index = pd.to_datetime(target.index).tz_localize(None).normalize()\n",
     "\n",
-    "    # Prepare model data\n",
-    "    modelled = ensemble_data.copy()\n",
-    "    modelled.index = pd.to_datetime(modelled.index).tz_localize(None).normalize()\n",
+    "    # Prepare ERA5 reference\n",
+    "    reference = reference_data.copy()\n",
+    "    reference.index = pd.to_datetime(reference.index).tz_localize(None).normalize()\n",
     "\n",
     "    # Select calibration period\n",
     "    start_date = pd.to_datetime(start_date).tz_localize(None).normalize()\n",
     "    end_date = pd.to_datetime(end_date).tz_localize(None).normalize()\n",
     "\n",
-    "    observed_period = observed[(observed.index >= start_date) & (observed.index <= end_date)]\n",
-    "    modelled_period = modelled[(modelled.index >= start_date) & (modelled.index <= end_date)]\n",
+    "    target_period = target[(target.index >= start_date) &(target.index <= end_date)]\n",
+    "    reference_period = reference[(reference.index >= start_date) &(reference.index <= end_date)]\n",
     "\n",
-    "    # Correct every parameter set\n",
+    "    # Correct each parameter set separately\n",
     "    for i in range(len(par_ensemble)):\n",
     "\n",
     "        set_name = f\"Set {i+1}\"\n",
     "\n",
     "        qm_function = quantile_mapping(\n",
-    "            observed=observed_period,\n",
-    "            modelled=modelled_period[set_name],\n",
+    "            observed=reference_period[set_name],\n",
+    "            modelled=target_period[set_name],\n",
     "            n=n\n",
     "        )\n",
     "\n",
-    "        corrected_data[set_name] = qm_function(modelled[set_name])\n",
+    "        corrected_data[set_name] = qm_function(target[set_name])\n",
     "\n",
     "    # Remove negative discharge\n",
     "    corrected_data[corrected_data < 0] = 0\n",
     "\n",
-    "    # Recalculate mean\n",
+    "    # Recalculate ensemble mean from corrected sets\n",
     "    corrected_data[\"Mean\"] = corrected_data.mean(axis=1)\n",
+    "    # set_columns = [f\"Set {i+1}\" for i in range(len(par_ensemble))]\n",
+    "    # corrected_data[\"Mean\"] = corrected_data[set_columns].mean(axis=1)\n",
     "\n",
-    "    # Add observed discharge for comparison\n",
-    "    corrected_data[\"Observed discharge\"] = observed\n",
+    "    # Keep observed discharge if present\n",
+    "    if \"Observed discharge\" in target.columns:\n",
+    "        corrected_data[\"Observed discharge\"] = target[\"Observed discharge\"]\n",
     "\n",
     "    return corrected_data"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 109,
    "id": "2d4ef549-838f-44ce-884b-99c5a3447cbd",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Set 1</th>\n",
+       "      <th>Set 2</th>\n",
+       "      <th>Set 3</th>\n",
+       "      <th>Set 4</th>\n",
+       "      <th>Set 5</th>\n",
+       "      <th>Mean</th>\n",
+       "      <th>Observed discharge</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1995-01-02</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>196.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1995-01-03</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>194.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1995-01-04</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>191.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1995-01-05</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>186.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1995-01-06</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>180.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            Set 1  Set 2  Set 3  Set 4  Set 5  Mean  Observed discharge\n",
+       "1995-01-02    0.0    0.0    0.0    0.0    0.0   0.0               196.0\n",
+       "1995-01-03    0.0    0.0    0.0    0.0    0.0   0.0               194.0\n",
+       "1995-01-04    0.0    0.0    0.0    0.0    0.0   0.0               191.0\n",
+       "1995-01-05    0.0    0.0    0.0    0.0    0.0   0.0               186.0\n",
+       "1995-01-06    0.0    0.0    0.0    0.0    0.0   0.0               180.0"
+      ]
+     },
+     "execution_count": 109,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "ensemble_data_CMIP_corrected = correct_discharge_ensemble(\n",
     "    ensemble_data=ensemble_data_CMIP,\n",
-    "    observed_output=observed_output,\n",
+    "    reference_data=ensemble_data_ERA5,\n",
     "    start_date=evaluation_start,\n",
     "    end_date=validation_end_date,\n",
     "    n=1000\n",
@@ -1669,10 +2711,332 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 110,
    "id": "63008778-e23d-4fae-b8f9-f61c789934d7",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">observed     <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">532.0</span>\n",
+       "modelmean    <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">770.0</span>\n",
+       "set_1        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">946.0</span>\n",
+       "set_2        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">769.0</span>\n",
+       "set_3        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">772.0</span>\n",
+       "set_4        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">716.0</span>\n",
+       "set_5        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">671.0</span>\n",
+       "set_avg      <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">776.0</span>\n",
+       "dtype: float64\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "observed     \u001b[1;36m532.0\u001b[0m\n",
+       "modelmean    \u001b[1;36m770.0\u001b[0m\n",
+       "set_1        \u001b[1;36m946.0\u001b[0m\n",
+       "set_2        \u001b[1;36m769.0\u001b[0m\n",
+       "set_3        \u001b[1;36m772.0\u001b[0m\n",
+       "set_4        \u001b[1;36m716.0\u001b[0m\n",
+       "set_5        \u001b[1;36m671.0\u001b[0m\n",
+       "set_avg      \u001b[1;36m776.0\u001b[0m\n",
+       "dtype: float64\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>year</th>\n",
+       "      <th>observed</th>\n",
+       "      <th>modelmean</th>\n",
+       "      <th>set_1</th>\n",
+       "      <th>set_2</th>\n",
+       "      <th>set_3</th>\n",
+       "      <th>set_4</th>\n",
+       "      <th>set_5</th>\n",
+       "      <th>set_avg</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1996</td>\n",
+       "      <td>0</td>\n",
+       "      <td>119</td>\n",
+       "      <td>119</td>\n",
+       "      <td>118</td>\n",
+       "      <td>115</td>\n",
+       "      <td>118</td>\n",
+       "      <td>125</td>\n",
+       "      <td>119.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1997</td>\n",
+       "      <td>0</td>\n",
+       "      <td>46</td>\n",
+       "      <td>56</td>\n",
+       "      <td>42</td>\n",
+       "      <td>41</td>\n",
+       "      <td>43</td>\n",
+       "      <td>45</td>\n",
+       "      <td>45.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1998</td>\n",
+       "      <td>44</td>\n",
+       "      <td>11</td>\n",
+       "      <td>20</td>\n",
+       "      <td>10</td>\n",
+       "      <td>10</td>\n",
+       "      <td>8</td>\n",
+       "      <td>10</td>\n",
+       "      <td>12.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1999</td>\n",
+       "      <td>35</td>\n",
+       "      <td>49</td>\n",
+       "      <td>56</td>\n",
+       "      <td>48</td>\n",
+       "      <td>49</td>\n",
+       "      <td>44</td>\n",
+       "      <td>41</td>\n",
+       "      <td>48.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2000</td>\n",
+       "      <td>20</td>\n",
+       "      <td>36</td>\n",
+       "      <td>47</td>\n",
+       "      <td>35</td>\n",
+       "      <td>35</td>\n",
+       "      <td>34</td>\n",
+       "      <td>33</td>\n",
+       "      <td>37.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>2001</td>\n",
+       "      <td>60</td>\n",
+       "      <td>0</td>\n",
+       "      <td>8</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>2002</td>\n",
+       "      <td>52</td>\n",
+       "      <td>3</td>\n",
+       "      <td>17</td>\n",
+       "      <td>1</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>5.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>2003</td>\n",
+       "      <td>51</td>\n",
+       "      <td>38</td>\n",
+       "      <td>54</td>\n",
+       "      <td>44</td>\n",
+       "      <td>44</td>\n",
+       "      <td>20</td>\n",
+       "      <td>12</td>\n",
+       "      <td>35.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>2004</td>\n",
+       "      <td>5</td>\n",
+       "      <td>59</td>\n",
+       "      <td>70</td>\n",
+       "      <td>63</td>\n",
+       "      <td>64</td>\n",
+       "      <td>49</td>\n",
+       "      <td>37</td>\n",
+       "      <td>57.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>2005</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>6</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>2006</td>\n",
+       "      <td>42</td>\n",
+       "      <td>52</td>\n",
+       "      <td>64</td>\n",
+       "      <td>49</td>\n",
+       "      <td>55</td>\n",
+       "      <td>46</td>\n",
+       "      <td>38</td>\n",
+       "      <td>50.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>2007</td>\n",
+       "      <td>25</td>\n",
+       "      <td>43</td>\n",
+       "      <td>53</td>\n",
+       "      <td>39</td>\n",
+       "      <td>43</td>\n",
+       "      <td>44</td>\n",
+       "      <td>30</td>\n",
+       "      <td>42.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>2008</td>\n",
+       "      <td>37</td>\n",
+       "      <td>44</td>\n",
+       "      <td>44</td>\n",
+       "      <td>60</td>\n",
+       "      <td>47</td>\n",
+       "      <td>42</td>\n",
+       "      <td>52</td>\n",
+       "      <td>49.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>2009</td>\n",
+       "      <td>42</td>\n",
+       "      <td>21</td>\n",
+       "      <td>37</td>\n",
+       "      <td>17</td>\n",
+       "      <td>21</td>\n",
+       "      <td>21</td>\n",
+       "      <td>15</td>\n",
+       "      <td>22.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>2010</td>\n",
+       "      <td>6</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>2011</td>\n",
+       "      <td>36</td>\n",
+       "      <td>6</td>\n",
+       "      <td>34</td>\n",
+       "      <td>6</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>10.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>2012</td>\n",
+       "      <td>13</td>\n",
+       "      <td>97</td>\n",
+       "      <td>101</td>\n",
+       "      <td>98</td>\n",
+       "      <td>96</td>\n",
+       "      <td>96</td>\n",
+       "      <td>93</td>\n",
+       "      <td>97.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>2013</td>\n",
+       "      <td>21</td>\n",
+       "      <td>135</td>\n",
+       "      <td>133</td>\n",
+       "      <td>138</td>\n",
+       "      <td>136</td>\n",
+       "      <td>135</td>\n",
+       "      <td>136</td>\n",
+       "      <td>136.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>2014</td>\n",
+       "      <td>43</td>\n",
+       "      <td>11</td>\n",
+       "      <td>27</td>\n",
+       "      <td>1</td>\n",
+       "      <td>5</td>\n",
+       "      <td>11</td>\n",
+       "      <td>3</td>\n",
+       "      <td>9.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    year  observed  modelmean  set_1  set_2  set_3  set_4  set_5  set_avg\n",
+       "0   1996         0        119    119    118    115    118    125    119.0\n",
+       "1   1997         0         46     56     42     41     43     45     45.0\n",
+       "2   1998        44         11     20     10     10      8     10     12.0\n",
+       "3   1999        35         49     56     48     49     44     41     48.0\n",
+       "4   2000        20         36     47     35     35     34     33     37.0\n",
+       "5   2001        60          0      8      0      0      0      0      2.0\n",
+       "6   2002        52          3     17      1      4      1      0      5.0\n",
+       "7   2003        51         38     54     44     44     20     12     35.0\n",
+       "8   2004         5         59     70     63     64     49     37     57.0\n",
+       "9   2005         0          0      6      0      0      0      0      1.0\n",
+       "10  2006        42         52     64     49     55     46     38     50.0\n",
+       "11  2007        25         43     53     39     43     44     30     42.0\n",
+       "12  2008        37         44     44     60     47     42     52     49.0\n",
+       "13  2009        42         21     37     17     21     21     15     22.0\n",
+       "14  2010         6          0      0      0      0      0      0      0.0\n",
+       "15  2011        36          6     34      6      7      4      1     10.0\n",
+       "16  2012        13         97    101     98     96     96     93     97.0\n",
+       "17  2013        21        135    133    138    136    135    136    136.0\n",
+       "18  2014        43         11     27      1      5     11      3      9.0"
+      ]
+     },
+     "execution_count": 110,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "lowflow_CMIP_corrected = lowflow_counter_ensemble(\n",
     "    ensemble_data=ensemble_data_CMIP_corrected,\n",
@@ -1682,54 +3046,6 @@
     "\n",
     "lowflow_CMIP_corrected"
    ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "14776cc2-254f-49bf-9c37-5bb2c3295806",
-   "metadata": {},
-   "source": [
-    "## 9. Test test"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "ad520100-76e2-4a62-b450-4e010ca226d3",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "39bd4f11-bc62-4310-a64d-0a7742962a5d",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "09522b58-9fc4-4222-92d7-6d6d241e13df",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "64d999a0-114a-4c60-bf94-516959483af9",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "242c2ced-687e-48a6-b160-e50c208e50cb",
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {

From 3d7276ca6e4cc5e7a27be4c235e2222129bfc009 Mon Sep 17 00:00:00 2001
From: Maxime <mxdebekker@gmail.com>
Date: Tue, 9 Jun 2026 17:34:25 +0200
Subject: [PATCH 17/24] Step7_CMIP_Projections

Lot's of coding in cleanup and data processing and visualisation

Gave up at QDM/QM/BC.
---
 .../Workyard/Step7_CMIP_Projections.ipynb     | 979 +++++++++++++-----
 1 file changed, 712 insertions(+), 267 deletions(-)

diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step7_CMIP_Projections.ipynb b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step7_CMIP_Projections.ipynb
index ff70e3b4..a0f4a7eb 100644
--- a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step7_CMIP_Projections.ipynb
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step7_CMIP_Projections.ipynb
@@ -27,7 +27,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 73,
+   "execution_count": 80,
    "id": "71668e92-f5c4-49b2-9eed-20f91997c193",
    "metadata": {},
    "outputs": [],
@@ -51,7 +51,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 74,
+   "execution_count": 81,
    "id": "f2135c0b-ba31-4f05-bf37-435a99b1788f",
    "metadata": {},
    "outputs": [],
@@ -64,7 +64,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 75,
+   "execution_count": 82,
    "id": "c5166bb7-f81f-4967-a65a-d1933464ce7f",
    "metadata": {},
    "outputs": [],
@@ -80,22 +80,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 76,
+   "execution_count": 112,
    "id": "6880e7f0-2609-4c3f-82bd-c2440981fa72",
    "metadata": {},
    "outputs": [],
    "source": [
     "scenarios = [\"ssp126\", \"ssp245\", \"ssp370\"]\n",
     "\n",
-    "periods = [\n",
-    "    [2025, 2050, 2075],\n",
-    "    [2050, 2075, 2099]\n",
-    "]"
+    "periods = [[2025, 2050, 2075],\n",
+    "           [2050, 2075, 2099]]\n",
+    "\n",
+    "hist_periods = ([1989], [2014]) "
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 77,
+   "execution_count": 84,
    "id": "c398fe4d-66fb-430a-8f82-ad85e924f592",
    "metadata": {},
    "outputs": [],
@@ -118,7 +118,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 78,
+   "execution_count": 85,
    "id": "a7bab7da-b7e7-442c-b4b0-e5c3b0ededcb",
    "metadata": {},
    "outputs": [],
@@ -136,14 +136,6 @@
     "evaluation_start = pd.to_datetime(f\"{validation_start_date.year + 1}-01-01\")"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "84ca0034-eb95-41b8-84e6-4ccdfc7129c2",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
   {
    "cell_type": "markdown",
    "id": "f4a7211e-cb74-4a90-8229-de7000cf2dd5",
@@ -168,7 +160,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 79,
+   "execution_count": 86,
    "id": "d776ff36-b69a-4321-9468-d4fa85350ef3",
    "metadata": {},
    "outputs": [],
@@ -198,7 +190,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 80,
+   "execution_count": 87,
    "id": "c60f825e-520a-4b00-83ab-16bdcfe60471",
    "metadata": {},
    "outputs": [],
@@ -219,7 +211,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 81,
+   "execution_count": 88,
    "id": "70664027-bb24-47cc-814d-eb8eccbc1715",
    "metadata": {},
    "outputs": [],
@@ -274,7 +266,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 82,
+   "execution_count": 89,
    "id": "1dab11de-a9f9-4e58-bc05-29926875e2d0",
    "metadata": {},
    "outputs": [],
@@ -338,7 +330,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 83,
+   "execution_count": 90,
    "id": "2a55954f-3927-4a02-b641-f4ba5fc3725a",
    "metadata": {},
    "outputs": [],
@@ -404,7 +396,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 101,
+   "execution_count": 91,
    "id": "61884551-cc91-4478-bb2d-73eba100630b",
    "metadata": {},
    "outputs": [],
@@ -448,7 +440,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 102,
+   "execution_count": 92,
    "id": "18c80e0a-3c39-4ec4-91b7-49a5190ee3fd",
    "metadata": {},
    "outputs": [
@@ -509,7 +501,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 86,
+   "execution_count": 93,
    "id": "33bdfa38-cac6-4eda-8f0e-143e163eea2a",
    "metadata": {},
    "outputs": [],
@@ -553,7 +545,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 87,
+   "execution_count": 113,
    "id": "a0bb6899-63e2-41b2-b83e-33a89203d9e1",
    "metadata": {},
    "outputs": [
@@ -1262,9 +1254,15 @@
    ],
    "source": [
     "projection_data = {}\n",
+    "use_periods = []\n",
     "\n",
     "for scenario in scenarios:\n",
     "\n",
+    "    # if scenario == \"historical\":\n",
+    "    #     use_periods = hist_periods\n",
+    "    # else:\n",
+    "    #     use_periods = periods\n",
+    "\n",
     "    for i in range(len(periods[0])):\n",
     "\n",
     "        start_year = periods[0][i]\n",
@@ -1272,11 +1270,7 @@
     "\n",
     "        key = f\"{scenario}_{start_year}_{end_year}\"\n",
     "\n",
-    "        ensemble_data, lowflow_table = run_one_projection(\n",
-    "            scenario=scenario,\n",
-    "            start_year=start_year,\n",
-    "            end_year=end_year\n",
-    "        )\n",
+    "        ensemble_data, lowflow_table = run_one_projection(scenario=scenario, start_year=start_year, end_year=end_year)\n",
     "\n",
     "        projection_data[key] = {\n",
     "            \"ensemble\": ensemble_data,\n",
@@ -1284,6 +1278,14 @@
     "        }"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7756d873-a5e7-4206-a232-11057afeb22f",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
   {
    "cell_type": "markdown",
    "id": "22e82719-70f4-45e6-a7eb-27f6e506553b",
@@ -1308,7 +1310,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 96,
+   "execution_count": 95,
    "id": "f13aa66c-90fc-4de7-b2ca-42c2da16cd04",
    "metadata": {},
    "outputs": [],
@@ -1342,7 +1344,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 97,
+   "execution_count": 114,
    "id": "6c40d31a-ab6c-44b7-94f1-e7d538328252",
    "metadata": {},
    "outputs": [
@@ -1410,7 +1412,7 @@
        "2   ssp370                  27         34         45         49"
       ]
      },
-     "execution_count": 97,
+     "execution_count": 114,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1435,51 +1437,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 90,
-   "id": "650bfda7-f4cd-468f-a620-11ac6d0a415d",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# def plot_lowflow_cdf_by_scenario(lowflow_results, scenarios, periods):\n",
-    "\n",
-    "#     plt.figure(figsize=(8, 5))\n",
-    "\n",
-    "#     for scenario in scenarios:\n",
-    "\n",
-    "#         all_lowflows = []\n",
-    "\n",
-    "#         for i in range(len(periods[0])):\n",
-    "\n",
-    "#             start_year = periods[0][i]\n",
-    "#             end_year = periods[1][i]\n",
-    "\n",
-    "#             key = f\"{scenario}_{start_year}_{end_year}\"\n",
-    "\n",
-    "#             lowflow_table = lowflow_results[key]\n",
-    "\n",
-    "#             all_lowflows.extend(lowflow_table[\"set_avg\"].values)\n",
-    "\n",
-    "#         values = np.sort(all_lowflows)\n",
-    "#         cdf = np.arange(1, len(values) + 1) / len(values)\n",
-    "\n",
-    "#         plt.plot(\n",
-    "#             values,\n",
-    "#             cdf,\n",
-    "#             marker=\"o\",\n",
-    "#             label=scenario\n",
-    "#         )\n",
-    "\n",
-    "#     plt.xlabel(\"Annual low-flow days\")\n",
-    "#     plt.ylabel(\"Cumulative probability\")\n",
-    "#     plt.title(\"CDF of annual low-flow days by SSP scenario\")\n",
-    "#     plt.grid(True)\n",
-    "#     plt.legend()\n",
-    "#     plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 110,
+   "execution_count": 99,
    "id": "88c401d0-39ee-48d8-b048-c0f3d09f3efa",
    "metadata": {},
    "outputs": [],
@@ -1492,12 +1450,7 @@
     "    observed_values = np.sort(observed_lowflows[\"observed_lowflow_days\"].values)\n",
     "    observed_cdf = np.arange(1, len(observed_values) + 1) / len(observed_values)\n",
     "\n",
-    "    plt.plot(\n",
-    "        observed_values,\n",
-    "        observed_cdf,\n",
-    "        marker=\"o\",\n",
-    "        label=\"Observed 2000-2025\"\n",
-    "    )\n",
+    "    plt.plot(observed_values,observed_cdf,marker=\"o\",label=\"Observed 2000-2025\")\n",
     "\n",
     "    # Scenario CDFs\n",
     "    for scenario in scenarios:\n",
@@ -1518,12 +1471,7 @@
     "        values = np.sort(all_lowflows)\n",
     "        cdf = np.arange(1, len(values) + 1) / len(values)\n",
     "\n",
-    "        plt.plot(\n",
-    "            values,\n",
-    "            cdf,\n",
-    "            marker=\"o\",\n",
-    "            label=scenario\n",
-    "        )\n",
+    "        plt.plot(values,cdf,marker=\"o\",label=scenario)\n",
     "\n",
     "    plt.xlabel(\"Annual low-flow days\")\n",
     "    plt.ylabel(\"Cumulative probability\")\n",
@@ -1535,7 +1483,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 111,
+   "execution_count": 100,
    "id": "4092c20d-19a6-4245-bfc9-a83ae151ba62",
    "metadata": {},
    "outputs": [
@@ -1568,16 +1516,144 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 105,
    "id": "ad7d2cbb-351d-4481-bb8b-4fde80893fe7",
    "metadata": {},
    "outputs": [],
+   "source": [
+    "def lowflow_quantile_table(lowflow_results, scenarios, periods):\n",
+    "\n",
+    "    rows = []\n",
+    "\n",
+    "    for scenario in scenarios:\n",
+    "\n",
+    "        all_lowflows = []\n",
+    "\n",
+    "        for i in range(len(periods[0])):\n",
+    "\n",
+    "            start_year = periods[0][i]\n",
+    "            end_year = periods[1][i]\n",
+    "\n",
+    "            key = f\"{scenario}_{start_year}_{end_year}\"\n",
+    "            \n",
+    "            lowflow_table = lowflow_results[key][\"lowflow\"]\n",
+    "\n",
+    "            all_lowflows.extend(lowflow_table[\"set_avg\"].values)\n",
+    "\n",
+    "        values = pd.Series(all_lowflows)\n",
+    "\n",
+    "        rows.append({\n",
+    "            \"scenario\": scenario,\n",
+    "            \"mean\": round(values.mean(), 1),\n",
+    "            \"median\": values.median(),\n",
+    "            \"p50\": values.quantile(0.5),\n",
+    "            \"p75\": values.quantile(0.75),\n",
+    "            \"p90\": values.quantile(0.90),\n",
+    "            \"max\": values.max()\n",
+    "        })\n",
+    "\n",
+    "    return pd.DataFrame(rows)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 106,
+   "id": "09a29265-5d22-4916-874e-270a2107fd53",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>scenario</th>\n",
+       "      <th>mean</th>\n",
+       "      <th>median</th>\n",
+       "      <th>p50</th>\n",
+       "      <th>p75</th>\n",
+       "      <th>p90</th>\n",
+       "      <th>max</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>ssp126</td>\n",
+       "      <td>36.1</td>\n",
+       "      <td>31.0</td>\n",
+       "      <td>31.0</td>\n",
+       "      <td>52.0</td>\n",
+       "      <td>74.2</td>\n",
+       "      <td>143.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>ssp245</td>\n",
+       "      <td>36.6</td>\n",
+       "      <td>23.0</td>\n",
+       "      <td>23.0</td>\n",
+       "      <td>56.0</td>\n",
+       "      <td>84.4</td>\n",
+       "      <td>141.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>ssp370</td>\n",
+       "      <td>42.8</td>\n",
+       "      <td>43.0</td>\n",
+       "      <td>43.0</td>\n",
+       "      <td>63.0</td>\n",
+       "      <td>93.2</td>\n",
+       "      <td>130.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  scenario  mean  median   p50   p75   p90    max\n",
+       "0   ssp126  36.1    31.0  31.0  52.0  74.2  143.0\n",
+       "1   ssp245  36.6    23.0  23.0  56.0  84.4  141.0\n",
+       "2   ssp370  42.8    43.0  43.0  63.0  93.2  130.0"
+      ]
+     },
+     "execution_count": 106,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "lowflow_quantile_table(projection_data, scenarios, periods)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3a2fb953-a9b6-4687-9837-c5d81dacaf5c",
+   "metadata": {},
+   "outputs": [],
    "source": []
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "09a29265-5d22-4916-874e-270a2107fd53",
+   "id": "46cd2108-358e-454e-b181-9cc133c05e24",
    "metadata": {},
    "outputs": [],
    "source": []
@@ -1585,7 +1661,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "3a2fb953-a9b6-4687-9837-c5d81dacaf5c",
+   "id": "8e75de47-6485-4eb9-95e1-2b494d6f171c",
    "metadata": {},
    "outputs": [],
    "source": []
@@ -1593,7 +1669,23 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "46cd2108-358e-454e-b181-9cc133c05e24",
+   "id": "4046edbd-720f-42bc-82a0-a4c876bb292c",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "886740be-2436-4629-b3a3-757045d656a6",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0a0747ef-6891-4f9c-9a97-23f22f7a61bf",
    "metadata": {},
    "outputs": [],
    "source": []
@@ -1603,201 +1695,356 @@
    "id": "0b8c0de8-91bf-4b76-9c46-4eb15bbe4d02",
    "metadata": {},
    "source": [
-    "# 5. Compare forcing inputs "
+    "# 6. Compare forcing inputs \n",
+    "\n",
+    "Here the forcing data will be analysed. First the forcing files will be loaded in and merged for each scenario. Then, units will be converted. Finally, yearly and period averages will be calculated and saved in lists. This will be used in 6.2 and 6.3 for visualisation.\n",
+    "\n",
+    "##### 6.1 Loading and preparing forcing data\n",
+    "##### 6.2 Period forcing avg table\n",
+    "##### 6.3 Yearly forcing avg graph"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9498e454-25ab-4b53-a01a-ccc11284d3e9",
+   "metadata": {},
+   "source": [
+    "### 6.3 Loading and preparing forcing data"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "0a36ac91-fd42-425e-b04b-192a07e46ac4",
+   "execution_count": 125,
+   "id": "e09f5155-fc3a-4156-92e0-664a55cc8539",
    "metadata": {},
    "outputs": [],
    "source": [
-    "def find_file_for_var(folder, var_name):\n",
+    "var_names = {\"evspsblpot\", \"pr\", \"rsds\", \"tas\"}\n",
+    "\n",
+    "forcing_data = {}\n",
+    "annual_avg = []\n",
+    "period_avg = []\n",
+    "\n",
+    "for scenario in scenarios:\n",
+    "\n",
+    "    forcing_data[scenario] = {}\n",
     "\n",
-    "    folder = Path(folder)\n",
+    "    for var_name in var_names:\n",
     "\n",
-    "    # First try exact final variable pattern, then broader search\n",
-    "    matches = list(folder.glob(f\"*_{var_name}.nc\"))\n",
+    "        merged_data_list = []\n",
     "\n",
-    "    if len(matches) == 0:\n",
-    "        matches = list(folder.glob(f\"*{var_name}*.nc\"))\n",
+    "        for i in range(len(periods[0])):\n",
     "\n",
-    "    if len(matches) == 0:\n",
-    "        raise FileNotFoundError(f\"No NetCDF file found for {var_name} in {folder}\")\n",
+    "            start_year = periods[0][i]\n",
+    "            end_year = periods[1][i]\n",
     "\n",
-    "    if len(matches) > 1:\n",
-    "        print(f\"Multiple files found for {var_name}, using first:\")\n",
-    "        for match in matches:\n",
-    "            print(\" -\", match.name)\n",
+    "            # Define file path\n",
+    "            forcing_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / scenario / f\"CMIP6-{start_year}-{end_year}\" / f\"combined_CMIP6_{start_year}_{end_year}_{var_name}.nc\"\n",
+    "            \n",
+    "            # Load file as dataset\n",
+    "            ds = xr.open_dataset(forcing_file)\n",
     "\n",
-    "    return matches[0]\n",
+    "            # Load file as array\n",
+    "            da = ds[var_name]\n",
     "\n",
+    "            # Convert to series \n",
+    "            series = pd.Series(data=da.values.squeeze(),index=pd.to_datetime(da[\"time\"].values).normalize(),name=var_name)\n",
     "\n",
+    "            # Convert pr and evap from km^2/s to mm^2/day\n",
+    "            if var_name in [\"pr\", \"evspsblpot\"]:\n",
+    "                series = series * 86400\n",
+    "                annual = series.groupby(series.index.year).sum()\n",
     "\n",
-    "def get_dataarray(dataset, preferred_name):\n",
+    "            # Convert temp from Kelvin to Celcius\n",
+    "            elif var_name == \"tas\":\n",
+    "                series = series - 273.15\n",
+    "                annual = series.groupby(series.index.year).mean()\n",
     "\n",
-    "    if preferred_name in dataset.data_vars:\n",
-    "        return dataset[preferred_name]\n",
+    "            elif var_name == \"rsds\":\n",
+    "                annual = series.groupby(series.index.year).mean()\n",
     "\n",
-    "    first_var = list(dataset.data_vars)[0]\n",
-    "    print(f\"Variable {preferred_name} not found, using {first_var} instead.\")\n",
-    "    return dataset[first_var]\n",
+    "            # Save for merged time series\n",
+    "            merged_data_list.append(series)\n",
     "\n",
+    "            # Save annual values\n",
+    "            for year, annual_value in annual.items():\n",
     "\n",
-    "def load_variable(folder, var_name):\n",
+    "                annual_avg.append({\"scenario\": scenario,\n",
+    "                                    \"period\": f\"{start_year}-{end_year}\",\n",
+    "                                    \"year\": year,\n",
+    "                                    \"variable\": var_name,\n",
+    "                                    \"value\": annual_value})\n",
     "\n",
-    "    file_path = find_file_for_var(folder, var_name)\n",
+    "            # Save 25 year average\n",
+    "            period_avg.append({\"scenario\": scenario,\n",
+    "                                \"period\": f\"{start_year}-{end_year}\",\n",
+    "                                \"variable\": var_name,\n",
+    "                                \"value\": annual.mean()})\n",
     "\n",
-    "    ds = xr.open_dataset(file_path)\n",
-    "    da = get_dataarray(ds, var_name).squeeze()\n",
-    "    \n",
-    "        # Normalize daily time coordinate: removes 11:30 / 12:00 differences\n",
-    "    da = da.assign_coords(time=pd.to_datetime(da.time.values).normalize())\n",
+    "        # Merge periods into one 2025–2099 series\n",
+    "        merged_data = pd.concat(merged_data_list)\n",
+    "        merged_data = merged_data[~merged_data.index.duplicated(keep=\"first\")]\n",
+    "        merged_data = merged_data.sort_index()\n",
     "\n",
-    "    if \"time\" not in da.dims:\n",
-    "        raise ValueError(f\"{file_path} does not contain a time dimension.\")\n",
+    "        forcing_data[scenario][var_name] = merged_data\n",
     "\n",
-    "    return da, ds, file_path\n",
+    "# Create summary table for annual avg values\n",
+    "annual_table = pd.DataFrame(annual_avg)\n",
     "\n",
-    "def to_series(da):\n",
-    "    return pd.Series(\n",
-    "        data=da.values.squeeze(),\n",
-    "        index=pd.to_datetime(da[\"time\"].values),\n",
-    "        name=da.name,\n",
-    "    )\n"
+    "# Create summary table for period avg values\n",
+    "period_table = pd.DataFrame(period_avg).pivot_table(index=[\"scenario\", \"period\"],columns=\"variable\",values=\"value\")"
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "0a861497-e078-4210-9ddf-7ce1f0a2e9ff",
+   "cell_type": "markdown",
+   "id": "c185c872-7215-4870-9c9c-3be7b202d139",
    "metadata": {},
-   "outputs": [],
    "source": [
-    "def forcing_summary_period(scenario, start_year, end_year):\n",
-    "\n",
-    "    forcing_path = forcing_path_cmip(scenario, start_year, end_year)\n",
-    "\n",
-    "    variables = [\"pr\", \"tas\", \"rsds\", \"evspsblpot\"]\n",
-    "    rows = []\n",
-    "\n",
-    "    for var_name in variables:\n",
-    "\n",
-    "        da, _, _ = load_variable(forcing_path, var_name)\n",
-    "        s = to_series(da)\n",
-    "\n",
-    "        if var_name in [\"pr\", \"evspsblpot\"]:\n",
-    "            s = s * 86400\n",
-    "            value = s.sum() / (end_year - start_year + 1)\n",
-    "            stat = \"mean annual sum mm/year\"\n",
-    "\n",
-    "        elif var_name == \"tas\":\n",
-    "            s = s - 273.15\n",
-    "            value = s.mean()\n",
-    "            stat = \"mean °C\"\n",
-    "\n",
-    "        elif var_name == \"rsds\":\n",
-    "            value = s.mean()\n",
-    "            stat = \"mean W/m²\"\n",
-    "\n",
-    "        rows.append({\n",
-    "            \"scenario\": scenario,\n",
-    "            \"period\": f\"{start_year}-{end_year}\",\n",
-    "            \"variable\": var_name,\n",
-    "            \"statistic\": stat,\n",
-    "            \"value\": value\n",
-    "        })\n",
-    "\n",
-    "    return pd.DataFrame(rows)"
+    "### 6.2 Period forcing avg table"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "8208fd49-1176-40c2-be6c-001641915e2b",
+   "execution_count": 127,
+   "id": "3f47b648-0f62-4c96-a290-4da99c2edb07",
    "metadata": {},
    "outputs": [],
    "source": [
-    "forcing_summaries = []\n",
-    "\n",
-    "for scenario in scenarios:\n",
-    "\n",
-    "    for i in range(len(periods[0])):\n",
+    "def create_period_forcing_table(annual_table):\n",
     "\n",
-    "        start_year = periods[0][i]\n",
-    "        end_year = periods[1][i]\n",
+    "    period_forcing_table = (\n",
+    "        annual_forcing_table\n",
+    "        .groupby([\"scenario\", \"period\", \"variable\"])[\"value\"]\n",
+    "        .mean()\n",
+    "        .reset_index()\n",
+    "    )\n",
     "\n",
-    "        forcing_summaries.append(\n",
-    "            forcing_summary_period(scenario, start_year, end_year)\n",
-    "        )\n",
+    "    period_forcing_table = period_forcing_table.pivot_table(\n",
+    "        index=[\"scenario\", \"period\"],\n",
+    "        columns=\"variable\",\n",
+    "        values=\"value\"\n",
+    "    )\n",
     "\n",
-    "forcing_summary_table = pd.concat(forcing_summaries, ignore_index=True)"
+    "    return period_forcing_table"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "a9c618ee-2c83-4f62-9e61-ea8d32548575",
+   "execution_count": 131,
+   "id": "4bdf8aaa-e8a3-4f5d-b062-91a50ee41317",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>variable</th>\n",
+       "      <th>evspsblpot</th>\n",
+       "      <th>pr</th>\n",
+       "      <th>rsds</th>\n",
+       "      <th>tas</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>scenario</th>\n",
+       "      <th>period</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"3\" valign=\"top\">ssp126</th>\n",
+       "      <th>2025-2050</th>\n",
+       "      <td>621.1</td>\n",
+       "      <td>633.9</td>\n",
+       "      <td>138.5</td>\n",
+       "      <td>2.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2050-2075</th>\n",
+       "      <td>625.8</td>\n",
+       "      <td>630.1</td>\n",
+       "      <td>138.7</td>\n",
+       "      <td>3.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2075-2099</th>\n",
+       "      <td>621.5</td>\n",
+       "      <td>645.3</td>\n",
+       "      <td>138.2</td>\n",
+       "      <td>2.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"3\" valign=\"top\">ssp245</th>\n",
+       "      <th>2025-2050</th>\n",
+       "      <td>628.0</td>\n",
+       "      <td>623.0</td>\n",
+       "      <td>139.5</td>\n",
+       "      <td>2.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2050-2075</th>\n",
+       "      <td>632.7</td>\n",
+       "      <td>637.3</td>\n",
+       "      <td>138.3</td>\n",
+       "      <td>3.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2075-2099</th>\n",
+       "      <td>635.6</td>\n",
+       "      <td>659.8</td>\n",
+       "      <td>137.8</td>\n",
+       "      <td>3.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"3\" valign=\"top\">ssp370</th>\n",
+       "      <th>2025-2050</th>\n",
+       "      <td>623.4</td>\n",
+       "      <td>640.5</td>\n",
+       "      <td>138.5</td>\n",
+       "      <td>2.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2050-2075</th>\n",
+       "      <td>636.3</td>\n",
+       "      <td>650.3</td>\n",
+       "      <td>136.7</td>\n",
+       "      <td>4.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2075-2099</th>\n",
+       "      <td>656.9</td>\n",
+       "      <td>645.7</td>\n",
+       "      <td>136.6</td>\n",
+       "      <td>5.4</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "variable            evspsblpot     pr   rsds  tas\n",
+       "scenario period                                  \n",
+       "ssp126   2025-2050       621.1  633.9  138.5  2.5\n",
+       "         2050-2075       625.8  630.1  138.7  3.0\n",
+       "         2075-2099       621.5  645.3  138.2  2.7\n",
+       "ssp245   2025-2050       628.0  623.0  139.5  2.7\n",
+       "         2050-2075       632.7  637.3  138.3  3.6\n",
+       "         2075-2099       635.6  659.8  137.8  3.6\n",
+       "ssp370   2025-2050       623.4  640.5  138.5  2.7\n",
+       "         2050-2075       636.3  650.3  136.7  4.4\n",
+       "         2075-2099       656.9  645.7  136.6  5.4"
+      ]
+     },
+     "execution_count": 131,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "forcing_summary_pivot = forcing_summary_table.pivot_table(\n",
-    "    index=[\"scenario\", \"period\"],\n",
-    "    columns=\"variable\",\n",
-    "    values=\"value\"\n",
-    ")\n",
+    "period_forcing_table = round(create_period_forcing_table(forcing_summary_table), 1)\n",
     "\n",
-    "forcing_summary_pivot"
+    "period_forcing_table"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "02b23661-c0e4-4164-ae35-a1ea2a9b5fc0",
+   "id": "a458f6d2-2210-4a9a-bce0-7a41b1da5711",
    "metadata": {},
    "source": [
-    "# 6. CDF"
+    "### 6.3 Yearly forcing avg graph"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "217c70e9-9ad1-4e69-b79e-591a73e9c39d",
+   "execution_count": 171,
+   "id": "f0f860cc-2ac2-4d44-b941-3a255012355b",
    "metadata": {},
    "outputs": [],
    "source": [
-    "def plot_lowflow_cdf_by_scenario(lowflow_results, scenarios, periods):\n",
+    "colours = {\n",
+    "    \"ssp126\": \"green\",\n",
+    "    \"ssp245\": \"blue\",\n",
+    "    \"ssp370\": \"orange\"\n",
+    "}\n",
     "\n",
-    "    plt.figure(figsize=(8, 5))\n",
+    "def plot_annual_forcing_variable(annual_forcing_table, var_name):\n",
+    "\n",
+    "    data = annual_forcing_table[\n",
+    "        annual_forcing_table[\"variable\"] == var_name\n",
+    "    ]\n",
+    "\n",
+    "    plt.figure(figsize=(9, 5))\n",
     "\n",
     "    for scenario in scenarios:\n",
     "\n",
-    "        all_lowflows = []\n",
+    "        scenario_data = data[data[\"scenario\"] == scenario]\n",
+    "        colour = colours[scenario]\n",
     "\n",
+    "        # Plot yearly data \n",
+    "        plt.plot(scenario_data[\"year\"],scenario_data[\"value\"],alpha=0.3,color=colour,label=scenario)\n",
+    "\n",
+    "        # Plot trendline for each period\n",
     "        for i in range(len(periods[0])):\n",
     "\n",
+    "            # Define period range\n",
     "            start_year = periods[0][i]\n",
     "            end_year = periods[1][i]\n",
     "\n",
-    "            key = f\"{scenario}_{start_year}_{end_year}\"\n",
+    "            # Adjust data to fit period range\n",
+    "            period_data = scenario_data[(scenario_data[\"year\"] >= start_year) & (scenario_data[\"year\"] <= end_year)]\n",
     "\n",
-    "            lowflow_table = lowflow_results[key]\n",
+    "            # Plot trend line over each 25 year period\n",
+    "            if len(period_data) > 1:\n",
     "\n",
-    "            all_lowflows.extend(lowflow_table[\"set_avg\"].values)\n",
+    "                x = period_data[\"year\"].values\n",
+    "                y = period_data[\"value\"].values\n",
     "\n",
-    "        values = np.sort(all_lowflows)\n",
-    "        cdf = np.arange(1, len(values) + 1) / len(values)\n",
+    "                # Polyfit method for making trendline function\n",
+    "                slope, intercept = np.polyfit(x, y, 1)\n",
+    "                trend = slope * x + intercept\n",
     "\n",
-    "        plt.plot(\n",
-    "            values,\n",
-    "            cdf,\n",
-    "            marker=\"o\",\n",
-    "            label=scenario\n",
-    "        )\n",
+    "                # Plot\n",
+    "                plt.plot(x,trend,linestyle=\"--\",color=colour)\n",
     "\n",
-    "    plt.xlabel(\"Annual low-flow days\")\n",
-    "    plt.ylabel(\"Cumulative probability\")\n",
-    "    plt.title(\"CDF of annual low-flow days by SSP scenario\")\n",
+    "    if var_name == \"pr\":\n",
+    "        ylabel = \"Annual precipitation (mm/year)\"\n",
+    "        title = \"Annual precipitation in LAR basin by climate scenario\"\n",
+    "\n",
+    "    elif var_name == \"evspsblpot\":\n",
+    "        ylabel = \"Annual potential evaporation (mm/year)\"\n",
+    "        title = \"Annual potential evaporation in LAR basin by climate scenario\"\n",
+    "\n",
+    "    elif var_name == \"tas\":\n",
+    "        ylabel = \"Annual mean temperature increase (°C)\"\n",
+    "        title = \"Annual mean temperature increase in LAR basin by climate scenario\"\n",
+    "\n",
+    "    elif var_name == \"rsds\":\n",
+    "        ylabel = \"Annual mean shortwave radiation (W/m²)\"\n",
+    "        title = \"Annual mean shortwave radiation in LAR basin by climate scenario\"\n",
+    "\n",
+    "    plt.xlabel(\"Year\")\n",
+    "    plt.ylabel(ylabel)\n",
+    "    plt.title(title)\n",
     "    plt.grid(True)\n",
     "    plt.legend()\n",
     "    plt.show()"
@@ -1805,71 +2052,269 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "7e0a37ea-7b66-4c47-95cc-04031f7d31e3",
+   "execution_count": 172,
+   "id": "723362df-4c18-43a7-ae31-b584ff01198f",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 900x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 900x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 900x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 900x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "periods = [\n",
-    "    [2026, 2051, 2076],\n",
-    "    [2050, 2075, 2099]\n",
-    "]\n",
-    "\n",
-    "plot_lowflow_cdf_by_scenario(\n",
-    "    lowflow_results=lowflow_results,\n",
-    "    scenarios=scenarios,\n",
-    "    periods=periods\n",
-    ")"
+    "for var_name in [\"pr\", \"tas\", \"rsds\", \"evspsblpot\"]:\n",
+    "    plot_annual_forcing_variable(annual_forcing_table, var_name)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "1811777a-21a1-4402-8653-0655ccfc2471",
+   "id": "206a0498-38d1-42d7-be9e-6448c1cd2fd1",
    "metadata": {},
    "outputs": [],
-   "source": [
-    "def lowflow_quantile_table(lowflow_results, scenarios, periods):\n",
-    "\n",
-    "    rows = []\n",
-    "\n",
-    "    for scenario in scenarios:\n",
-    "\n",
-    "        all_lowflows = []\n",
-    "\n",
-    "        for i in range(len(periods[0])):\n",
-    "\n",
-    "            start_year = periods[0][i]\n",
-    "            end_year = periods[1][i]\n",
-    "\n",
-    "            key = f\"{scenario}_{start_year}_{end_year}\"\n",
-    "            lowflow_table = lowflow_results[key]\n",
-    "\n",
-    "            all_lowflows.extend(lowflow_table[\"set_avg\"].values)\n",
-    "\n",
-    "        values = pd.Series(all_lowflows)\n",
-    "\n",
-    "        rows.append({\n",
-    "            \"scenario\": scenario,\n",
-    "            \"mean\": values.mean(),\n",
-    "            \"median\": values.median(),\n",
-    "            \"p75\": values.quantile(0.75),\n",
-    "            \"p90\": values.quantile(0.90),\n",
-    "            \"max\": values.max()\n",
-    "        })\n",
-    "\n",
-    "    return pd.DataFrame(rows)"
-   ]
+   "source": []
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "78a5f041-b42f-43d8-8d6c-df3da81bfdf6",
+   "id": "c4fedac9-e786-4208-844c-b3ef773329c7",
    "metadata": {},
    "outputs": [],
-   "source": [
-    "lowflow_quantile_table(lowflow_results, scenarios, periods)"
-   ]
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "35745302-06e5-43c8-91f0-52257cb846cd",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5ac250b0-1bed-4921-bbe0-6a62f887c145",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c8d69c5a-10aa-46f7-a179-833e506d9cde",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "53310fc7-4c33-4bee-8a96-343560940237",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8eb295e5-9518-4287-8e35-de7743e87e5a",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 107,
+   "id": "0a36ac91-fd42-425e-b04b-192a07e46ac4",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 108,
+   "id": "0a861497-e078-4210-9ddf-7ce1f0a2e9ff",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 109,
+   "id": "8208fd49-1176-40c2-be6c-001641915e2b",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 110,
+   "id": "a9c618ee-2c83-4f62-9e61-ea8d32548575",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>variable</th>\n",
+       "      <th>evspsblpot</th>\n",
+       "      <th>pr</th>\n",
+       "      <th>rsds</th>\n",
+       "      <th>tas</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>scenario</th>\n",
+       "      <th>period</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"3\" valign=\"top\">ssp126</th>\n",
+       "      <th>2025-2050</th>\n",
+       "      <td>621.115827</td>\n",
+       "      <td>633.866016</td>\n",
+       "      <td>138.530518</td>\n",
+       "      <td>2.507785</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2050-2075</th>\n",
+       "      <td>625.834602</td>\n",
+       "      <td>630.108168</td>\n",
+       "      <td>138.729980</td>\n",
+       "      <td>2.994848</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2075-2099</th>\n",
+       "      <td>621.526396</td>\n",
+       "      <td>645.313406</td>\n",
+       "      <td>138.176804</td>\n",
+       "      <td>2.738721</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"3\" valign=\"top\">ssp245</th>\n",
+       "      <th>2025-2050</th>\n",
+       "      <td>628.019652</td>\n",
+       "      <td>622.963642</td>\n",
+       "      <td>139.454956</td>\n",
+       "      <td>2.663425</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2050-2075</th>\n",
+       "      <td>632.682703</td>\n",
+       "      <td>637.349485</td>\n",
+       "      <td>138.314972</td>\n",
+       "      <td>3.588089</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2075-2099</th>\n",
+       "      <td>635.643577</td>\n",
+       "      <td>659.815115</td>\n",
+       "      <td>137.841309</td>\n",
+       "      <td>3.646670</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"3\" valign=\"top\">ssp370</th>\n",
+       "      <th>2025-2050</th>\n",
+       "      <td>623.396508</td>\n",
+       "      <td>640.490159</td>\n",
+       "      <td>138.547470</td>\n",
+       "      <td>2.715807</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2050-2075</th>\n",
+       "      <td>636.281969</td>\n",
+       "      <td>650.255712</td>\n",
+       "      <td>136.660095</td>\n",
+       "      <td>4.362177</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2075-2099</th>\n",
+       "      <td>656.929423</td>\n",
+       "      <td>645.734789</td>\n",
+       "      <td>136.637268</td>\n",
+       "      <td>5.423460</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "variable            evspsblpot          pr        rsds       tas\n",
+       "scenario period                                                 \n",
+       "ssp126   2025-2050  621.115827  633.866016  138.530518  2.507785\n",
+       "         2050-2075  625.834602  630.108168  138.729980  2.994848\n",
+       "         2075-2099  621.526396  645.313406  138.176804  2.738721\n",
+       "ssp245   2025-2050  628.019652  622.963642  139.454956  2.663425\n",
+       "         2050-2075  632.682703  637.349485  138.314972  3.588089\n",
+       "         2075-2099  635.643577  659.815115  137.841309  3.646670\n",
+       "ssp370   2025-2050  623.396508  640.490159  138.547470  2.715807\n",
+       "         2050-2075  636.281969  650.255712  136.660095  4.362177\n",
+       "         2075-2099  656.929423  645.734789  136.637268  5.423460"
+      ]
+     },
+     "execution_count": 110,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": []
   },
   {
    "cell_type": "markdown",

From 600bac3678509869df5967a758d3a6abf6aadb32 Mon Sep 17 00:00:00 2001
From: Maxime <mxdebekker@gmail.com>
Date: Tue, 9 Jun 2026 18:07:31 +0200
Subject: [PATCH 18/24] Step7_CMIP_Projections

Added historical data to forcing data analysis for comparison
---
 .../Workyard/Step7_CMIP_Projections.ipynb     | 480 ++++++++----------
 1 file changed, 208 insertions(+), 272 deletions(-)

diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step7_CMIP_Projections.ipynb b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step7_CMIP_Projections.ipynb
index a0f4a7eb..b0a82350 100644
--- a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step7_CMIP_Projections.ipynb
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step7_CMIP_Projections.ipynb
@@ -11,10 +11,13 @@
     "\n",
     "The structure of this notebook is as follows:\n",
     "\n",
-    "### 1. Startup\n",
+    "### 1. Startup & Imports\n",
     "### 2. Model setup\n",
     "### 3. Lowflow setup\n",
-    "### 4. Running model"
+    "### 4. Running model\n",
+    "### 5. Lowflow data visualisation\n",
+    "### 6. Forcing data comparison & visualisation\n",
+    "### 7. Algorithm checker (freshet, freeze up dates)"
    ]
   },
   {
@@ -22,7 +25,7 @@
    "id": "14ec2576-8826-48ce-9b0d-3c28be7fec68",
    "metadata": {},
    "source": [
-    "## 1. Startup"
+    "## 1. Startup & Imports"
    ]
   },
   {
@@ -95,7 +98,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 84,
+   "execution_count": 173,
    "id": "c398fe4d-66fb-430a-8f82-ad85e924f592",
    "metadata": {},
    "outputs": [],
@@ -1642,60 +1645,12 @@
     "lowflow_quantile_table(projection_data, scenarios, periods)"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "3a2fb953-a9b6-4687-9837-c5d81dacaf5c",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "46cd2108-358e-454e-b181-9cc133c05e24",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "8e75de47-6485-4eb9-95e1-2b494d6f171c",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "4046edbd-720f-42bc-82a0-a4c876bb292c",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "886740be-2436-4629-b3a3-757045d656a6",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "0a0747ef-6891-4f9c-9a97-23f22f7a61bf",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
   {
    "cell_type": "markdown",
    "id": "0b8c0de8-91bf-4b76-9c46-4eb15bbe4d02",
    "metadata": {},
    "source": [
-    "# 6. Compare forcing inputs \n",
+    "# 6. Forcing data comparison & visualisation\n",
     "\n",
     "Here the forcing data will be analysed. First the forcing files will be loaded in and merged for each scenario. Then, units will be converted. Finally, yearly and period averages will be calculated and saved in lists. This will be used in 6.2 and 6.3 for visualisation.\n",
     "\n",
@@ -1795,6 +1750,164 @@
     "period_table = pd.DataFrame(period_avg).pivot_table(index=[\"scenario\", \"period\"],columns=\"variable\",values=\"value\")"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 178,
+   "id": "d1a5a1ba-05ce-400f-8ab9-a60bec0bfdc5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Prepare historical data\n",
+    "\n",
+    "def load_hist(start_year, end_year):\n",
+    "\n",
+    "    scenario = \"historical\"\n",
+    "    annual_avg = []\n",
+    "\n",
+    "    for var_name in var_names:\n",
+    "\n",
+    "        merged_data_list = []\n",
+    "    \n",
+    "        forcing_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / scenario / f\"CMIP6-{start_year}-{end_year}\" / f\"combined_CMIP6_{start_year}_{end_year}_{var_name}.nc\"\n",
+    "\n",
+    "        # Load file as dataset\n",
+    "        ds = xr.open_dataset(forcing_file)\n",
+    "\n",
+    "        # Load file as array\n",
+    "        da = ds[var_name]\n",
+    "\n",
+    "        # Convert to series \n",
+    "        series = pd.Series(data=da.values.squeeze(),index=pd.to_datetime(da[\"time\"].values).normalize(),name=var_name)\n",
+    "\n",
+    "        # Convert pr and evap from km^2/s to mm^2/day\n",
+    "        if var_name in [\"pr\", \"evspsblpot\"]:\n",
+    "            series = series * 86400\n",
+    "            annual = series.groupby(series.index.year).sum()\n",
+    "\n",
+    "        # Convert temp from Kelvin to Celcius\n",
+    "        elif var_name == \"tas\":\n",
+    "            series = series - 273.15\n",
+    "            annual = series.groupby(series.index.year).mean()\n",
+    "\n",
+    "        elif var_name == \"rsds\":\n",
+    "            annual = series.groupby(series.index.year).mean()\n",
+    "\n",
+    "                    # Save for merged time series\n",
+    "            merged_data_list.append(series)\n",
+    "\n",
+    "        # Save annual values\n",
+    "        for year, annual_value in annual.items():\n",
+    "\n",
+    "            annual_avg.append({\"scenario\": scenario,\n",
+    "                                \"period\": f\"{start_year}-{end_year}\",\n",
+    "                                \"year\": year,\n",
+    "                                \"variable\": var_name,\n",
+    "                                \"value\": annual_value})\n",
+    "            \n",
+    "    annual_hist_table = pd.DataFrame(annual_avg)\n",
+    "    \n",
+    "    return annual_hist_table"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 180,
+   "id": "f076a095-0bbd-4053-887e-df115ac18a1b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>scenario</th>\n",
+       "      <th>period</th>\n",
+       "      <th>year</th>\n",
+       "      <th>variable</th>\n",
+       "      <th>value</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>historical</td>\n",
+       "      <td>1989-2014</td>\n",
+       "      <td>1989</td>\n",
+       "      <td>tas</td>\n",
+       "      <td>2.562430</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>historical</td>\n",
+       "      <td>1989-2014</td>\n",
+       "      <td>1990</td>\n",
+       "      <td>tas</td>\n",
+       "      <td>1.319359</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>historical</td>\n",
+       "      <td>1989-2014</td>\n",
+       "      <td>1991</td>\n",
+       "      <td>tas</td>\n",
+       "      <td>1.052132</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>historical</td>\n",
+       "      <td>1989-2014</td>\n",
+       "      <td>1992</td>\n",
+       "      <td>tas</td>\n",
+       "      <td>0.776736</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>historical</td>\n",
+       "      <td>1989-2014</td>\n",
+       "      <td>1993</td>\n",
+       "      <td>tas</td>\n",
+       "      <td>1.499663</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     scenario     period  year variable     value\n",
+       "0  historical  1989-2014  1989      tas  2.562430\n",
+       "1  historical  1989-2014  1990      tas  1.319359\n",
+       "2  historical  1989-2014  1991      tas  1.052132\n",
+       "3  historical  1989-2014  1992      tas  0.776736\n",
+       "4  historical  1989-2014  1993      tas  1.499663"
+      ]
+     },
+     "execution_count": 180,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "annual_hist_table = load_hist(start_year=1989,end_year=2014)\n",
+    "\n",
+    "annual_hist_table.head()"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "c185c872-7215-4870-9c9c-3be7b202d139",
@@ -1976,32 +2089,53 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 171,
+   "execution_count": 193,
    "id": "f0f860cc-2ac2-4d44-b941-3a255012355b",
    "metadata": {},
    "outputs": [],
    "source": [
     "colours = {\n",
+    "    \"historical\": \"black\",\n",
     "    \"ssp126\": \"green\",\n",
     "    \"ssp245\": \"blue\",\n",
     "    \"ssp370\": \"orange\"\n",
     "}\n",
     "\n",
+    "scenarios_new = [\"historical\", \"ssp126\", \"ssp245\", \"ssp370\"]\n",
+    "\n",
     "def plot_annual_forcing_variable(annual_forcing_table, var_name):\n",
     "\n",
-    "    data = annual_forcing_table[\n",
-    "        annual_forcing_table[\"variable\"] == var_name\n",
-    "    ]\n",
+    "    # Combine historical and scenarios\n",
+    "    annual_forcing_table_all = pd.concat([annual_hist_table, annual_forcing_table],ignore_index=True)\n",
     "\n",
+    "    data = annual_forcing_table_all[annual_forcing_table_all[\"variable\"] == var_name]\n",
+    "    \n",
     "    plt.figure(figsize=(9, 5))\n",
-    "\n",
-    "    for scenario in scenarios:\n",
+    "    \n",
+    "    # Loop through scenarios\n",
+    "    for scenario in scenarios_new:\n",
     "\n",
     "        scenario_data = data[data[\"scenario\"] == scenario]\n",
     "        colour = colours[scenario]\n",
     "\n",
-    "        # Plot yearly data \n",
-    "        plt.plot(scenario_data[\"year\"],scenario_data[\"value\"],alpha=0.3,color=colour,label=scenario)\n",
+    "        if scenario == \"historical\":\n",
+    "\n",
+    "            plt.plot(scenario_data[\"year\"],scenario_data[\"value\"],color=colour,linewidth=0.3,label=scenario)\n",
+    "\n",
+    "            x = scenario_data[\"year\"].values\n",
+    "            y = scenario_data[\"value\"].values\n",
+    "\n",
+    "            # Polyfit method for making trendline function\n",
+    "            slope, intercept = np.polyfit(x, y, 1)\n",
+    "            trend = slope * x + intercept\n",
+    "\n",
+    "            # Plot\n",
+    "            plt.plot(x,trend,linestyle=\"--\",color=colour)\n",
+    "\n",
+    "        else:\n",
+    "\n",
+    "            # Plot yearly data \n",
+    "            plt.plot(scenario_data[\"year\"],scenario_data[\"value\"],alpha=0.3,color=colour,label=scenario)\n",
     "\n",
     "        # Plot trendline for each period\n",
     "        for i in range(len(periods[0])):\n",
@@ -2036,7 +2170,7 @@
     "\n",
     "    elif var_name == \"tas\":\n",
     "        ylabel = \"Annual mean temperature increase (°C)\"\n",
-    "        title = \"Annual mean temperature increase in LAR basin by climate scenario\"\n",
+    "        title = \"Annual mean temperature in LAR basin by climate scenario\"\n",
     "\n",
     "    elif var_name == \"rsds\":\n",
     "        ylabel = \"Annual mean shortwave radiation (W/m²)\"\n",
@@ -2052,13 +2186,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 172,
+   "execution_count": 194,
    "id": "723362df-4c18-43a7-ae31-b584ff01198f",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 900x500 with 1 Axes>"
       ]
@@ -2068,7 +2202,7 @@
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 900x500 with 1 Axes>"
       ]
@@ -2078,7 +2212,7 @@
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 900x500 with 1 Axes>"
       ]
@@ -2088,7 +2222,7 @@
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 900x500 with 1 Axes>"
       ]
@@ -2105,47 +2239,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "206a0498-38d1-42d7-be9e-6448c1cd2fd1",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "c4fedac9-e786-4208-844c-b3ef773329c7",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "35745302-06e5-43c8-91f0-52257cb846cd",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "5ac250b0-1bed-4921-bbe0-6a62f887c145",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "c8d69c5a-10aa-46f7-a179-833e506d9cde",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "53310fc7-4c33-4bee-8a96-343560940237",
+   "id": "e4928a5b-24a9-4a05-a55a-58549d645f2c",
    "metadata": {},
    "outputs": [],
    "source": []
@@ -2153,181 +2247,23 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "8eb295e5-9518-4287-8e35-de7743e87e5a",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 107,
-   "id": "0a36ac91-fd42-425e-b04b-192a07e46ac4",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 108,
-   "id": "0a861497-e078-4210-9ddf-7ce1f0a2e9ff",
+   "id": "f5ee351b-da2c-46d9-a4a3-9b181f07c50a",
    "metadata": {},
    "outputs": [],
    "source": []
   },
-  {
-   "cell_type": "code",
-   "execution_count": 109,
-   "id": "8208fd49-1176-40c2-be6c-001641915e2b",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 110,
-   "id": "a9c618ee-2c83-4f62-9e61-ea8d32548575",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>variable</th>\n",
-       "      <th>evspsblpot</th>\n",
-       "      <th>pr</th>\n",
-       "      <th>rsds</th>\n",
-       "      <th>tas</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>scenario</th>\n",
-       "      <th>period</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"3\" valign=\"top\">ssp126</th>\n",
-       "      <th>2025-2050</th>\n",
-       "      <td>621.115827</td>\n",
-       "      <td>633.866016</td>\n",
-       "      <td>138.530518</td>\n",
-       "      <td>2.507785</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2050-2075</th>\n",
-       "      <td>625.834602</td>\n",
-       "      <td>630.108168</td>\n",
-       "      <td>138.729980</td>\n",
-       "      <td>2.994848</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2075-2099</th>\n",
-       "      <td>621.526396</td>\n",
-       "      <td>645.313406</td>\n",
-       "      <td>138.176804</td>\n",
-       "      <td>2.738721</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"3\" valign=\"top\">ssp245</th>\n",
-       "      <th>2025-2050</th>\n",
-       "      <td>628.019652</td>\n",
-       "      <td>622.963642</td>\n",
-       "      <td>139.454956</td>\n",
-       "      <td>2.663425</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2050-2075</th>\n",
-       "      <td>632.682703</td>\n",
-       "      <td>637.349485</td>\n",
-       "      <td>138.314972</td>\n",
-       "      <td>3.588089</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2075-2099</th>\n",
-       "      <td>635.643577</td>\n",
-       "      <td>659.815115</td>\n",
-       "      <td>137.841309</td>\n",
-       "      <td>3.646670</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"3\" valign=\"top\">ssp370</th>\n",
-       "      <th>2025-2050</th>\n",
-       "      <td>623.396508</td>\n",
-       "      <td>640.490159</td>\n",
-       "      <td>138.547470</td>\n",
-       "      <td>2.715807</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2050-2075</th>\n",
-       "      <td>636.281969</td>\n",
-       "      <td>650.255712</td>\n",
-       "      <td>136.660095</td>\n",
-       "      <td>4.362177</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2075-2099</th>\n",
-       "      <td>656.929423</td>\n",
-       "      <td>645.734789</td>\n",
-       "      <td>136.637268</td>\n",
-       "      <td>5.423460</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "variable            evspsblpot          pr        rsds       tas\n",
-       "scenario period                                                 \n",
-       "ssp126   2025-2050  621.115827  633.866016  138.530518  2.507785\n",
-       "         2050-2075  625.834602  630.108168  138.729980  2.994848\n",
-       "         2075-2099  621.526396  645.313406  138.176804  2.738721\n",
-       "ssp245   2025-2050  628.019652  622.963642  139.454956  2.663425\n",
-       "         2050-2075  632.682703  637.349485  138.314972  3.588089\n",
-       "         2075-2099  635.643577  659.815115  137.841309  3.646670\n",
-       "ssp370   2025-2050  623.396508  640.490159  138.547470  2.715807\n",
-       "         2050-2075  636.281969  650.255712  136.660095  4.362177\n",
-       "         2075-2099  656.929423  645.734789  136.637268  5.423460"
-      ]
-     },
-     "execution_count": 110,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": []
-  },
   {
    "cell_type": "markdown",
-   "id": "dd303444-4ba1-4cd2-9b97-2bcdd10422ac",
+   "id": "ca1cdc6b-dc2b-439a-97c9-6e3ac3d3cc24",
    "metadata": {},
    "source": [
-    "# 7. Algorithm"
+    "## 7. Algorithm checker"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "eca09435-7a70-465c-bd87-fee3a7a04c9e",
+   "id": "6b21933b-f7a2-4c99-bd32-9bea4a0081a8",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2340,7 +2276,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "ad43ef41-fe5a-4dcf-93e8-41e7c183ae9b",
+   "id": "3858527d-c17e-44b0-ae5d-50cb4cb351ab",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2364,7 +2300,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "2a89d8a5-dc40-4ebf-8247-3678edf56d52",
+   "id": "fcdfba61-e6c6-4dbc-8fde-2ce97c5b869a",
    "metadata": {},
    "outputs": [],
    "source": [

From 77d3f88f711e6bb832403fba98ae24015a891f84 Mon Sep 17 00:00:00 2001
From: Maxime <mxdebekker@gmail.com>
Date: Wed, 10 Jun 2026 18:02:38 +0200
Subject: [PATCH 19/24] Step7_CMIP_Projections

Basically done with data analysis from the coding perspective
---
 .../Workyard/Step7_CMIP_Projections.ipynb     | 1093 +++++++++++++----
 1 file changed, 839 insertions(+), 254 deletions(-)

diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step7_CMIP_Projections.ipynb b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step7_CMIP_Projections.ipynb
index b0a82350..4692dde8 100644
--- a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step7_CMIP_Projections.ipynb
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step7_CMIP_Projections.ipynb
@@ -17,7 +17,7 @@
     "### 4. Running model\n",
     "### 5. Lowflow data visualisation\n",
     "### 6. Forcing data comparison & visualisation\n",
-    "### 7. Algorithm checker (freshet, freeze up dates)"
+    "### 7. Algorithm checker (break up, freeze up dates)"
    ]
   },
   {
@@ -30,7 +30,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 80,
+   "execution_count": 3,
    "id": "71668e92-f5c4-49b2-9eed-20f91997c193",
    "metadata": {},
    "outputs": [],
@@ -54,7 +54,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 81,
+   "execution_count": 4,
    "id": "f2135c0b-ba31-4f05-bf37-435a99b1788f",
    "metadata": {},
    "outputs": [],
@@ -67,7 +67,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 82,
+   "execution_count": 5,
    "id": "c5166bb7-f81f-4967-a65a-d1933464ce7f",
    "metadata": {},
    "outputs": [],
@@ -83,7 +83,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 112,
+   "execution_count": 6,
    "id": "6880e7f0-2609-4c3f-82bd-c2440981fa72",
    "metadata": {},
    "outputs": [],
@@ -98,7 +98,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 173,
+   "execution_count": 7,
    "id": "c398fe4d-66fb-430a-8f82-ad85e924f592",
    "metadata": {},
    "outputs": [],
@@ -121,7 +121,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 85,
+   "execution_count": 8,
    "id": "a7bab7da-b7e7-442c-b4b0-e5c3b0ededcb",
    "metadata": {},
    "outputs": [],
@@ -139,6 +139,21 @@
     "evaluation_start = pd.to_datetime(f\"{validation_start_date.year + 1}-01-01\")"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 161,
+   "id": "1bd0e989-16f3-4cd9-81b7-dcfaf582cc7d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load in observed discharge data\n",
+    "\n",
+    "q_obs = pd.read_csv(discharge_file, skiprows=1)\n",
+    "q_obs = q_obs[[\"Date\", \"Value\"]].copy()\n",
+    "q_obs[\"Date\"] = pd.to_datetime(q_obs[\"Date\"])\n",
+    "q_obs = q_obs.rename(columns={\"Value\": \"discharge_m3s\"})"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "f4a7211e-cb74-4a90-8229-de7000cf2dd5",
@@ -163,7 +178,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 86,
+   "execution_count": 9,
    "id": "d776ff36-b69a-4321-9468-d4fa85350ef3",
    "metadata": {},
    "outputs": [],
@@ -187,13 +202,12 @@
     "               \"Tlag\",       # Time lag\n",
     "               \"Kf\",         # Fast reservoir recession coefficient\n",
     "               \"Ks\",         # Slow reservoir recession coefficient\n",
-    "               \"FM\"          # Snowmelt factor\n",
-    "               ]"
+    "               \"FM\"]          # Snowmelt factor"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 87,
+   "execution_count": 10,
    "id": "c60f825e-520a-4b00-83ab-16bdcfe60471",
    "metadata": {},
    "outputs": [],
@@ -214,7 +228,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 88,
+   "execution_count": 11,
    "id": "70664027-bb24-47cc-814d-eb8eccbc1715",
    "metadata": {},
    "outputs": [],
@@ -230,8 +244,7 @@
     "    config_file, _ = model.setup(\n",
     "        parameters=parameters,\n",
     "        initial_storages=initial_storages,\n",
-    "        cfg_dir=hbv_config\n",
-    "    )\n",
+    "        cfg_dir=hbv_config)\n",
     "\n",
     "    # Initialising model\n",
     "    model.initialize(config_file)\n",
@@ -251,8 +264,7 @@
     "    model_output_mmday = pd.Series(\n",
     "        data=Q_m,\n",
     "        index=time,\n",
-    "        name=\"Modelled discharge\"\n",
-    "    )\n",
+    "        name=\"Modelled discharge\")\n",
     "\n",
     "    model_output_m3s = model_output_mmday * basin_size * 1000 / 86400\n",
     "\n",
@@ -269,7 +281,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 89,
+   "execution_count": 12,
    "id": "1dab11de-a9f9-4e58-bc05-29926875e2d0",
    "metadata": {},
    "outputs": [],
@@ -292,8 +304,7 @@
     "        simulated = run_hbv(\n",
     "            parameters=par_ensemble[i],\n",
     "            initial_storages=initial_storages,\n",
-    "            forcing=forcing\n",
-    "        )\n",
+    "            forcing=forcing)\n",
     "\n",
     "        # Filter data by day only, not by day & time to prevent alignment issues\n",
     "        simulated_daily = simulated\n",
@@ -333,7 +344,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 90,
+   "execution_count": 13,
    "id": "2a55954f-3927-4a02-b641-f4ba5fc3725a",
    "metadata": {},
    "outputs": [],
@@ -353,8 +364,7 @@
     "\n",
     "        year_data = ensemble_data[\n",
     "            (ensemble_data.index >= year_start) &\n",
-    "            (ensemble_data.index <= year_end)\n",
-    "        ]\n",
+    "            (ensemble_data.index <= year_end)]\n",
     "\n",
     "        modelled_lowflow_days = []\n",
     "\n",
@@ -381,8 +391,7 @@
     "            \"set_3\": modelled_lowflow_days[2],\n",
     "            \"set_4\": modelled_lowflow_days[3],\n",
     "            \"set_5\": modelled_lowflow_days[4],\n",
-    "            \"set_avg\": np.round(setavg_lowflow_days)\n",
-    "        })\n",
+    "            \"set_avg\": np.round(setavg_lowflow_days)})\n",
     "\n",
     "    lowflow_days = pd.DataFrame(lowflow_days)\n",
     "\n",
@@ -399,7 +408,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 91,
+   "execution_count": 162,
    "id": "61884551-cc91-4478-bb2d-73eba100630b",
    "metadata": {},
    "outputs": [],
@@ -408,11 +417,6 @@
     "\n",
     "    observed_lowflows = []\n",
     "\n",
-    "    q_obs = pd.read_csv(discharge_file, skiprows=1)\n",
-    "    q_obs = q_obs[[\"Date\", \"Value\"]].copy()\n",
-    "    q_obs[\"Date\"] = pd.to_datetime(q_obs[\"Date\"])\n",
-    "    q_obs = q_obs.rename(columns={\"Value\": \"discharge_m3s\"})\n",
-    "\n",
     "    for year in range(start_year, end_year + 1):\n",
     "\n",
     "        season_start = pd.to_datetime(f\"{year}-05-18\")\n",
@@ -420,15 +424,13 @@
     "\n",
     "        year_data = q_obs[\n",
     "            (q_obs[\"Date\"] >= season_start) &\n",
-    "            (q_obs[\"Date\"] <= season_end)\n",
-    "        ]\n",
+    "            (q_obs[\"Date\"] <= season_end)]\n",
     "\n",
     "        lowflow_days = (year_data[\"discharge_m3s\"] < q_critical).sum()\n",
     "\n",
     "        observed_lowflows.append({\n",
     "            \"year\": year,\n",
-    "            \"observed_lowflow_days\": lowflow_days\n",
-    "        })\n",
+    "            \"observed_lowflow_days\": lowflow_days})\n",
     "\n",
     "    observed_lowflows = pd.DataFrame(observed_lowflows)\n",
     "\n",
@@ -443,7 +445,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 92,
+   "execution_count": 163,
    "id": "18c80e0a-3c39-4ec4-91b7-49a5190ee3fd",
    "metadata": {},
    "outputs": [
@@ -475,10 +477,7 @@
     }
    ],
    "source": [
-    "observed_lowflows, observed_avg = observed_lowflow_days(\n",
-    "    start_year=2000,\n",
-    "    end_year=2025\n",
-    ")"
+    "observed_lowflows, observed_avg = observed_lowflow_days(start_year=2000, end_year=2025)"
    ]
   },
   {
@@ -504,7 +503,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 93,
+   "execution_count": 16,
    "id": "33bdfa38-cac6-4eda-8f0e-143e163eea2a",
    "metadata": {},
    "outputs": [],
@@ -516,24 +515,19 @@
     "    forcing_path = forcing_path_cmip(\n",
     "        scenario=scenario,\n",
     "        start_year=start_year,\n",
-    "        end_year=end_year\n",
-    "    )\n",
+    "        end_year=end_year)\n",
     "\n",
-    "    CMIP_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(\n",
-    "        directory=forcing_path\n",
-    "    )\n",
+    "    CMIP_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=forcing_path)\n",
     "\n",
     "    ensemble_data = run_hbv_ensemble(\n",
     "        par_ensemble=par_ensemble,\n",
     "        initial_storages=s_0,\n",
-    "        forcing=CMIP_forcing\n",
-    "    )\n",
+    "        forcing=CMIP_forcing)\n",
     "\n",
     "    lowflow_table = lowflow_counter_future(\n",
     "        ensemble_data=ensemble_data,\n",
     "        start_date=pd.to_datetime(f\"{start_year}-01-01\"),\n",
-    "        end_date=pd.to_datetime(f\"{end_year}-12-31\")\n",
-    "    )\n",
+    "        end_date=pd.to_datetime(f\"{end_year}-12-31\"))\n",
     "\n",
     "    return ensemble_data, lowflow_table"
    ]
@@ -548,7 +542,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 113,
+   "execution_count": 17,
    "id": "a0bb6899-63e2-41b2-b83e-33a89203d9e1",
    "metadata": {},
    "outputs": [
@@ -1260,12 +1254,7 @@
     "use_periods = []\n",
     "\n",
     "for scenario in scenarios:\n",
-    "\n",
-    "    # if scenario == \"historical\":\n",
-    "    #     use_periods = hist_periods\n",
-    "    # else:\n",
-    "    #     use_periods = periods\n",
-    "\n",
+    "    \n",
     "    for i in range(len(periods[0])):\n",
     "\n",
     "        start_year = periods[0][i]\n",
@@ -1277,8 +1266,7 @@
     "\n",
     "        projection_data[key] = {\n",
     "            \"ensemble\": ensemble_data,\n",
-    "            \"lowflow\": lowflow_table\n",
-    "        }"
+    "            \"lowflow\": lowflow_table}"
    ]
   },
   {
@@ -1299,8 +1287,9 @@
     "All the results have been ran and calculated in previous chapters. Here results are presented. First a table will be created showing lowflow days for 25 year periods from 2000-2100 under various climate scenarios. Second, a CDF distribution will be shown:\n",
     "\n",
     "##### 5.1 Lowflow table\n",
-    "##### 5.2 CDF\n",
-    "##### 5.3 Quantiles"
+    "##### 5.2 Lowflow plot\n",
+    "##### 5.3 CDF\n",
+    "##### 5.4 Quantiles"
    ]
   },
   {
@@ -1313,7 +1302,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 95,
+   "execution_count": 18,
    "id": "f13aa66c-90fc-4de7-b2ca-42c2da16cd04",
    "metadata": {},
    "outputs": [],
@@ -1347,7 +1336,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 114,
+   "execution_count": 19,
    "id": "6c40d31a-ab6c-44b7-94f1-e7d538328252",
    "metadata": {},
    "outputs": [
@@ -1415,7 +1404,7 @@
        "2   ssp370                  27         34         45         49"
       ]
      },
-     "execution_count": 114,
+     "execution_count": 19,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1424,23 +1413,128 @@
     "summary_table = create_lowflow_summary_table(\n",
     "    projection_data=projection_data,\n",
     "    scenarios=scenarios,\n",
-    "    periods=periods\n",
-    ")\n",
+    "    periods=periods)\n",
     "\n",
     "summary_table"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "7fa21cd1-e2d2-4aa2-a20d-792d787a18c4",
+   "metadata": {},
+   "source": [
+    "### 5.2 Lowflow plot "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 155,
+   "id": "2c509444-3614-42ec-b218-bfff12a5ea31",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def plot_annual_lowflow_days(projection_data, scenarios, periods, observed_lowflows):\n",
+    "\n",
+    "    plt.figure(figsize=(9, 5))\n",
+    "\n",
+    "    # Plot observed historical low flow days\n",
+    "    observed_data = observed_lowflows.copy()\n",
+    "\n",
+    "    plt.plot(observed_data[\"year\"], observed_data[\"observed_lowflow_days\"], color=colours[\"historical\"], alpha=0.5, label=\"historical\")\n",
+    "\n",
+    "    # Historical trendline for 2000-2025\n",
+    "    x = observed_data[\"year\"].values\n",
+    "    y = observed_data[\"observed_lowflow_days\"].values\n",
+    "\n",
+    "    slope, intercept = np.polyfit(x, y, 1)\n",
+    "    trend = slope * x + intercept\n",
+    "\n",
+    "    plt.plot(x, trend, linestyle=\"--\", color=colours[\"historical\"])\n",
+    "\n",
+    "    # Plot future scenarios\n",
+    "    for scenario in scenarios:\n",
+    "\n",
+    "        all_years = []\n",
+    "        all_lowflows = []\n",
+    "\n",
+    "        for i in range(len(periods[0])):\n",
+    "\n",
+    "            start_year = periods[0][i]\n",
+    "            end_year = periods[1][i]\n",
+    "\n",
+    "            key = f\"{scenario}_{start_year}_{end_year}\"\n",
+    "\n",
+    "            lowflow_table = projection_data[key][\"lowflow\"]\n",
+    "\n",
+    "            years = lowflow_table[\"year\"].values\n",
+    "            lowflows = lowflow_table[\"set_avg\"].values\n",
+    "\n",
+    "            all_years.extend(years)\n",
+    "            all_lowflows.extend(lowflows)\n",
+    "\n",
+    "        scenario_data = pd.DataFrame({\n",
+    "            \"year\": all_years,\n",
+    "            \"set_avg\": all_lowflows})\n",
+    "\n",
+    "        scenario_data = scenario_data.sort_values(\"year\")\n",
+    "\n",
+    "\n",
+    "        # Plot yearly low flow days\n",
+    "        plt.plot(scenario_data[\"year\"], scenario_data[\"set_avg\"], color=colours[scenario], alpha=0.30, label=scenario)\n",
+    "\n",
+    "        # Plot trendline for 2025-2099\n",
+    "        x = scenario_data[\"year\"].values\n",
+    "        y = scenario_data[\"set_avg\"].values\n",
+    "\n",
+    "        slope, intercept = np.polyfit(x, y, 1)\n",
+    "        trend = slope * x + intercept\n",
+    "\n",
+    "        plt.plot(x, trend, linestyle=\"--\", color=colours[scenario])\n",
+    "\n",
+    "    plt.xlabel(\"Year\")\n",
+    "    plt.ylabel(\"Annual low-flow days\")\n",
+    "    plt.title(\"Annual low-flow days in LAR basin by climate scenario\")\n",
+    "    plt.grid(True)\n",
+    "    plt.legend()\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 156,
+   "id": "61d5ad70-380e-4e98-9f78-6c366cfe45a6",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 900x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_annual_lowflow_days(\n",
+    "    projection_data=projection_data,\n",
+    "    scenarios=scenarios,\n",
+    "    periods=periods,\n",
+    "    observed_lowflows=observed_lowflows)"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "110cc380-2552-4be7-9846-5cc8b21d1b9d",
    "metadata": {},
    "source": [
-    "### 5.2 CDF "
+    "### 5.3 CDF "
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 99,
+   "execution_count": 20,
    "id": "88c401d0-39ee-48d8-b048-c0f3d09f3efa",
    "metadata": {},
    "outputs": [],
@@ -1486,7 +1580,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 100,
+   "execution_count": 21,
    "id": "4092c20d-19a6-4245-bfc9-a83ae151ba62",
    "metadata": {},
    "outputs": [
@@ -1505,8 +1599,7 @@
     "plot_cdf(\n",
     "    projection_data=projection_data,\n",
     "    scenarios=scenarios,\n",
-    "    periods=periods,\n",
-    ")"
+    "    periods=periods)"
    ]
   },
   {
@@ -1514,12 +1607,12 @@
    "id": "8aee0214-a4cd-42fd-99fa-d892c7b859b8",
    "metadata": {},
    "source": [
-    "### 5.3 Quantiles"
+    "### 5.4 Quantiles"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 105,
+   "execution_count": 22,
    "id": "ad7d2cbb-351d-4481-bb8b-4fde80893fe7",
    "metadata": {},
    "outputs": [],
@@ -1552,15 +1645,14 @@
     "            \"p50\": values.quantile(0.5),\n",
     "            \"p75\": values.quantile(0.75),\n",
     "            \"p90\": values.quantile(0.90),\n",
-    "            \"max\": values.max()\n",
-    "        })\n",
+    "            \"max\": values.max()})\n",
     "\n",
     "    return pd.DataFrame(rows)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 106,
+   "execution_count": 23,
    "id": "09a29265-5d22-4916-874e-270a2107fd53",
    "metadata": {},
    "outputs": [
@@ -1636,7 +1728,7 @@
        "2   ssp370  42.8    43.0  43.0  63.0  93.2  130.0"
       ]
      },
-     "execution_count": 106,
+     "execution_count": 23,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1664,12 +1756,14 @@
    "id": "9498e454-25ab-4b53-a01a-ccc11284d3e9",
    "metadata": {},
    "source": [
-    "### 6.3 Loading and preparing forcing data"
+    "### 6.3 Loading and preparing forcing data\n",
+    "\n",
+    "All forcing data will be stored in forcing_data[scenario][var_name]"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 125,
+   "execution_count": 40,
    "id": "e09f5155-fc3a-4156-92e0-664a55cc8539",
    "metadata": {},
    "outputs": [],
@@ -1724,17 +1818,19 @@
     "            # Save annual values\n",
     "            for year, annual_value in annual.items():\n",
     "\n",
-    "                annual_avg.append({\"scenario\": scenario,\n",
-    "                                    \"period\": f\"{start_year}-{end_year}\",\n",
-    "                                    \"year\": year,\n",
-    "                                    \"variable\": var_name,\n",
-    "                                    \"value\": annual_value})\n",
+    "                annual_avg.append({\n",
+    "                    \"scenario\": scenario,\n",
+    "                    \"period\": f\"{start_year}-{end_year}\",\n",
+    "                    \"year\": year,\n",
+    "                    \"variable\": var_name,\n",
+    "                    \"value\": annual_value})\n",
     "\n",
     "            # Save 25 year average\n",
-    "            period_avg.append({\"scenario\": scenario,\n",
-    "                                \"period\": f\"{start_year}-{end_year}\",\n",
-    "                                \"variable\": var_name,\n",
-    "                                \"value\": annual.mean()})\n",
+    "            period_avg.append({\n",
+    "                \"scenario\": scenario,\n",
+    "                \"period\": f\"{start_year}-{end_year}\",\n",
+    "                \"variable\": var_name,\n",
+    "                \"value\": annual.mean()})\n",
     "\n",
     "        # Merge periods into one 2025–2099 series\n",
     "        merged_data = pd.concat(merged_data_list)\n",
@@ -1752,7 +1848,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 178,
+   "execution_count": 123,
    "id": "d1a5a1ba-05ce-400f-8ab9-a60bec0bfdc5",
    "metadata": {},
    "outputs": [],
@@ -1761,7 +1857,9 @@
     "\n",
     "def load_hist(start_year, end_year):\n",
     "\n",
+    "    forcing_data_hist = {}\n",
     "    scenario = \"historical\"\n",
+    "    forcing_data_hist[scenario] = {}\n",
     "    annual_avg = []\n",
     "\n",
     "    for var_name in var_names:\n",
@@ -1792,26 +1890,34 @@
     "        elif var_name == \"rsds\":\n",
     "            annual = series.groupby(series.index.year).mean()\n",
     "\n",
-    "                    # Save for merged time series\n",
-    "            merged_data_list.append(series)\n",
+    "        # Save for merged time series\n",
+    "        merged_data_list.append(series)\n",
     "\n",
     "        # Save annual values\n",
     "        for year, annual_value in annual.items():\n",
     "\n",
-    "            annual_avg.append({\"scenario\": scenario,\n",
-    "                                \"period\": f\"{start_year}-{end_year}\",\n",
-    "                                \"year\": year,\n",
-    "                                \"variable\": var_name,\n",
-    "                                \"value\": annual_value})\n",
+    "            annual_avg.append({\n",
+    "                \"scenario\": scenario,\n",
+    "                \"period\": f\"{start_year}-{end_year}\",\n",
+    "                \"year\": year,\n",
+    "                \"variable\": var_name,\n",
+    "                \"value\": annual_value})\n",
+    "\n",
+    "        # Merge period into one series\n",
+    "        merged_data = pd.concat(merged_data_list)\n",
+    "        merged_data = merged_data[~merged_data.index.duplicated(keep=\"first\")]\n",
+    "        merged_data = merged_data.sort_index()\n",
+    "\n",
+    "        forcing_data_hist[scenario][var_name] = merged_data\n",
     "            \n",
     "    annual_hist_table = pd.DataFrame(annual_avg)\n",
     "    \n",
-    "    return annual_hist_table"
+    "    return annual_hist_table, forcing_data_hist"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 180,
+   "execution_count": 124,
    "id": "f076a095-0bbd-4053-887e-df115ac18a1b",
    "metadata": {},
    "outputs": [
@@ -1849,65 +1955,79 @@
        "      <td>historical</td>\n",
        "      <td>1989-2014</td>\n",
        "      <td>1989</td>\n",
-       "      <td>tas</td>\n",
-       "      <td>2.562430</td>\n",
+       "      <td>evspsblpot</td>\n",
+       "      <td>675.652759</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>historical</td>\n",
        "      <td>1989-2014</td>\n",
        "      <td>1990</td>\n",
-       "      <td>tas</td>\n",
-       "      <td>1.319359</td>\n",
+       "      <td>evspsblpot</td>\n",
+       "      <td>598.145328</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>historical</td>\n",
        "      <td>1989-2014</td>\n",
        "      <td>1991</td>\n",
-       "      <td>tas</td>\n",
-       "      <td>1.052132</td>\n",
+       "      <td>evspsblpot</td>\n",
+       "      <td>614.345102</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>historical</td>\n",
        "      <td>1989-2014</td>\n",
        "      <td>1992</td>\n",
-       "      <td>tas</td>\n",
-       "      <td>0.776736</td>\n",
+       "      <td>evspsblpot</td>\n",
+       "      <td>551.774029</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>historical</td>\n",
        "      <td>1989-2014</td>\n",
        "      <td>1993</td>\n",
-       "      <td>tas</td>\n",
-       "      <td>1.499663</td>\n",
+       "      <td>evspsblpot</td>\n",
+       "      <td>594.841425</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "     scenario     period  year variable     value\n",
-       "0  historical  1989-2014  1989      tas  2.562430\n",
-       "1  historical  1989-2014  1990      tas  1.319359\n",
-       "2  historical  1989-2014  1991      tas  1.052132\n",
-       "3  historical  1989-2014  1992      tas  0.776736\n",
-       "4  historical  1989-2014  1993      tas  1.499663"
+       "     scenario     period  year    variable       value\n",
+       "0  historical  1989-2014  1989  evspsblpot  675.652759\n",
+       "1  historical  1989-2014  1990  evspsblpot  598.145328\n",
+       "2  historical  1989-2014  1991  evspsblpot  614.345102\n",
+       "3  historical  1989-2014  1992  evspsblpot  551.774029\n",
+       "4  historical  1989-2014  1993  evspsblpot  594.841425"
       ]
      },
-     "execution_count": 180,
+     "execution_count": 124,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "annual_hist_table = load_hist(start_year=1989,end_year=2014)\n",
+    "annual_hist_table,forcing_data_hist = load_hist(start_year=1989,end_year=2014)\n",
     "\n",
     "annual_hist_table.head()"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 125,
+   "id": "7e9707fe-3fec-4f72-b9bb-bff4fe01ed6e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Merge forcing data (useful for freeze up calculation)\n",
+    "\n",
+    "forcing_data_all = forcing_data.copy()\n",
+    "\n",
+    "forcing_data_all[\"historical\"] = forcing_data_hist[\"historical\"]"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "c185c872-7215-4870-9c9c-3be7b202d139",
@@ -1918,32 +2038,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 127,
+   "execution_count": 43,
    "id": "3f47b648-0f62-4c96-a290-4da99c2edb07",
    "metadata": {},
    "outputs": [],
    "source": [
     "def create_period_forcing_table(annual_table):\n",
     "\n",
-    "    period_forcing_table = (\n",
-    "        annual_forcing_table\n",
-    "        .groupby([\"scenario\", \"period\", \"variable\"])[\"value\"]\n",
-    "        .mean()\n",
-    "        .reset_index()\n",
-    "    )\n",
+    "    period_forcing_table = (annual_table.groupby([\"scenario\", \"period\", \"variable\"])[\"value\"].mean().reset_index())\n",
     "\n",
-    "    period_forcing_table = period_forcing_table.pivot_table(\n",
-    "        index=[\"scenario\", \"period\"],\n",
-    "        columns=\"variable\",\n",
-    "        values=\"value\"\n",
-    "    )\n",
+    "    period_forcing_table = period_forcing_table.pivot_table(index=[\"scenario\", \"period\"], columns=\"variable\", values=\"value\")\n",
     "\n",
     "    return period_forcing_table"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 131,
+   "execution_count": 44,
    "id": "4bdf8aaa-e8a3-4f5d-b062-91a50ee41317",
    "metadata": {},
    "outputs": [
@@ -2068,13 +2179,13 @@
        "         2075-2099       656.9  645.7  136.6  5.4"
       ]
      },
-     "execution_count": 131,
+     "execution_count": 44,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "period_forcing_table = round(create_period_forcing_table(forcing_summary_table), 1)\n",
+    "period_forcing_table = round(create_period_forcing_table(annual_table), 1)\n",
     "\n",
     "period_forcing_table"
    ]
@@ -2089,25 +2200,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 193,
+   "execution_count": 106,
    "id": "f0f860cc-2ac2-4d44-b941-3a255012355b",
    "metadata": {},
    "outputs": [],
    "source": [
-    "colours = {\n",
-    "    \"historical\": \"black\",\n",
-    "    \"ssp126\": \"green\",\n",
-    "    \"ssp245\": \"blue\",\n",
-    "    \"ssp370\": \"orange\"\n",
-    "}\n",
-    "\n",
+    "# Redefine scenarios to include historical\n",
     "scenarios_new = [\"historical\", \"ssp126\", \"ssp245\", \"ssp370\"]\n",
     "\n",
+    "# Attach colours to scenarios to make plotting easier \n",
+    "colours = {\"historical\": \"black\", \"ssp126\": \"green\", \"ssp245\": \"blue\", \"ssp370\": \"orange\"}\n",
+    "\n",
     "def plot_annual_forcing_variable(annual_forcing_table, var_name):\n",
     "\n",
     "    # Combine historical and scenarios\n",
     "    annual_forcing_table_all = pd.concat([annual_hist_table, annual_forcing_table],ignore_index=True)\n",
-    "\n",
     "    data = annual_forcing_table_all[annual_forcing_table_all[\"variable\"] == var_name]\n",
     "    \n",
     "    plt.figure(figsize=(9, 5))\n",
@@ -2115,11 +2222,14 @@
     "    # Loop through scenarios\n",
     "    for scenario in scenarios_new:\n",
     "\n",
+    "        # Extract one scenario and colour \n",
     "        scenario_data = data[data[\"scenario\"] == scenario]\n",
     "        colour = colours[scenario]\n",
     "\n",
+    "        # Plot historical \n",
     "        if scenario == \"historical\":\n",
-    "\n",
+    "            \n",
+    "            # Plot yearly average \n",
     "            plt.plot(scenario_data[\"year\"],scenario_data[\"value\"],color=colour,linewidth=0.3,label=scenario)\n",
     "\n",
     "            x = scenario_data[\"year\"].values\n",
@@ -2129,15 +2239,16 @@
     "            slope, intercept = np.polyfit(x, y, 1)\n",
     "            trend = slope * x + intercept\n",
     "\n",
-    "            # Plot\n",
+    "            # Plot trendline\n",
     "            plt.plot(x,trend,linestyle=\"--\",color=colour)\n",
     "\n",
+    "        # Plot other scenarios\n",
     "        else:\n",
     "\n",
-    "            # Plot yearly data \n",
+    "            # Plot yearly average\n",
     "            plt.plot(scenario_data[\"year\"],scenario_data[\"value\"],alpha=0.3,color=colour,label=scenario)\n",
     "\n",
-    "        # Plot trendline for each period\n",
+    "        # Look at each 25 year period\n",
     "        for i in range(len(periods[0])):\n",
     "\n",
     "            # Define period range\n",
@@ -2145,7 +2256,9 @@
     "            end_year = periods[1][i]\n",
     "\n",
     "            # Adjust data to fit period range\n",
-    "            period_data = scenario_data[(scenario_data[\"year\"] >= start_year) & (scenario_data[\"year\"] <= end_year)]\n",
+    "            period_data = scenario_data[\n",
+    "            (scenario_data[\"year\"] >= start_year) & \n",
+    "            (scenario_data[\"year\"] <= end_year)]\n",
     "\n",
     "            # Plot trend line over each 25 year period\n",
     "            if len(period_data) > 1:\n",
@@ -2157,9 +2270,10 @@
     "                slope, intercept = np.polyfit(x, y, 1)\n",
     "                trend = slope * x + intercept\n",
     "\n",
-    "                # Plot\n",
+    "                # Plot trendline\n",
     "                plt.plot(x,trend,linestyle=\"--\",color=colour)\n",
     "\n",
+    "    # Define titles and labels based on var_name\n",
     "    if var_name == \"pr\":\n",
     "        ylabel = \"Annual precipitation (mm/year)\"\n",
     "        title = \"Annual precipitation in LAR basin by climate scenario\"\n",
@@ -2186,7 +2300,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 194,
+   "execution_count": 107,
    "id": "723362df-4c18-43a7-ae31-b584ff01198f",
    "metadata": {},
    "outputs": [
@@ -2232,8 +2346,9 @@
     }
    ],
    "source": [
+    "# Run function to display plots for each var_name\n",
     "for var_name in [\"pr\", \"tas\", \"rsds\", \"evspsblpot\"]:\n",
-    "    plot_annual_forcing_variable(annual_forcing_table, var_name)"
+    "    plot_annual_forcing_variable(annual_table, var_name)"
    ]
   },
   {
@@ -2257,174 +2372,644 @@
    "id": "ca1cdc6b-dc2b-439a-97c9-6e3ac3d3cc24",
    "metadata": {},
    "source": [
-    "## 7. Algorithm checker"
+    "## 7. Algorithm checker\n",
+    "\n",
+    "This will be split into two sections: Defining start of navigable season (river ice break up) & end of navigable season (river freeze up). Each section includes the function coding AND data display.\n",
+    "\n",
+    "##### 7.1 Freshet start date\n",
+    "##### 7.2 River freeze up"
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "6b21933b-f7a2-4c99-bd32-9bea4a0081a8",
+   "cell_type": "markdown",
+   "id": "c11e114a-d02d-4d39-a0e9-0833075563ff",
    "metadata": {},
-   "outputs": [],
    "source": [
-    "selected_scenario = \"ssp370\"\n",
-    "start_year = 2075\n",
-    "end_year = 2099\n",
-    "AFDD_critical = 30"
+    "### 7.1 River break up \n",
+    "\n",
+    "##### The first step is to create a function to calculate the future break up dates.\n",
+    "##### The second step is to create a function to plot a bar chart. The same chart can be called and used for 7.2 for river freeze up. "
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "3858527d-c17e-44b0-ae5d-50cb4cb351ab",
+   "execution_count": 170,
+   "id": "65d86b26-ecbd-48fd-a80a-2eedad4cd1b3",
    "metadata": {},
    "outputs": [],
    "source": [
-    "forcing_path_CMIP = forcing_path_cmip(\n",
-    "    scenario=selected_scenario,\n",
-    "    start_year=start_year,\n",
-    "    end_year=end_year\n",
-    ")\n",
+    "q_critical = 500\n",
+    "\n",
+    "def find_breakup_dates(projection_data, start_year_hist, end_year_hist,start_year_fut, end_year_fut):\n",
+    "\n",
+    "    freshet_start_dates = []\n",
+    "\n",
+    "    for scenario in scenarios_new:\n",
+    "\n",
+    "        # Select years and discharge data depending on scenario\n",
+    "        if scenario == \"historical\":\n",
+    "\n",
+    "            start_year_use = start_year_hist\n",
+    "            end_year_use = end_year_hist\n",
+    "\n",
+    "            discharge_data = q_obs.copy()\n",
+    "            discharge_data[\"Year\"] = discharge_data[\"Date\"].dt.year\n",
+    "            \n",
+    "            discharge_col = \"discharge_m3s\"\n",
+    "\n",
+    "        else:\n",
     "\n",
-    "CMIP_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(\n",
-    "    directory=forcing_path_CMIP\n",
-    ")\n",
+    "            start_year_use = start_year_fut\n",
+    "            end_year_use = end_year_fut\n",
     "\n",
-    "ensemble_data_CMIP = run_hbv_ensemble(\n",
-    "    par_ensemble=par_ensemble,\n",
-    "    initial_storages=s_0,\n",
-    "    forcing=CMIP_forcing\n",
-    ")"
+    "            discharge_data_list = []\n",
+    "\n",
+    "            for i in range(len(periods[0])):\n",
+    "\n",
+    "                start_year = periods[0][i]\n",
+    "                end_year = periods[1][i]\n",
+    "\n",
+    "                key = f\"{scenario}_{start_year}_{end_year}\"\n",
+    "\n",
+    "                period_data = projection_data[key][\"ensemble\"].copy()\n",
+    "\n",
+    "                period_data[\"Date\"] = pd.to_datetime(period_data.index)\n",
+    "                period_data[\"Year\"] = period_data[\"Date\"].dt.year\n",
+    "\n",
+    "                discharge_data_list.append(period_data)\n",
+    "\n",
+    "            discharge_data = pd.concat(discharge_data_list)\n",
+    "            discharge_data = discharge_data.drop_duplicates(subset=\"Date\", keep=\"first\")\n",
+    "            discharge_data = discharge_data.sort_values(\"Date\")\n",
+    "\n",
+    "            discharge_col = \"Mean\"\n",
+    "\n",
+    "        # Loop through every year\n",
+    "        for year in range(start_year_use, end_year_use + 1):\n",
+    "\n",
+    "            # Select data after March 1\n",
+    "            season_data = discharge_data[\n",
+    "                (discharge_data[\"Year\"] == year) &\n",
+    "                (discharge_data[\"Date\"] >= pd.to_datetime(f\"{year}-03-01\"))]\n",
+    "\n",
+    "            # Identify first day where q > q_critical\n",
+    "            above_critical = season_data[\n",
+    "                season_data[discharge_col] > q_critical]\n",
+    "\n",
+    "            if len(above_critical) > 0:\n",
+    "\n",
+    "                first_day = above_critical.iloc[0]\n",
+    "\n",
+    "                freshet_start_dates.append({\n",
+    "                    \"scenario\": scenario,\n",
+    "                    \"year\": year,\n",
+    "                    \"freshet_start_date\": first_day[\"Date\"],\n",
+    "                    \"discharge_m3s\": first_day[discharge_col]})\n",
+    "\n",
+    "    freshet_start_dates = pd.DataFrame(freshet_start_dates)\n",
+    "\n",
+    "    return freshet_start_dates"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "fcdfba61-e6c6-4dbc-8fde-2ce97c5b869a",
+   "execution_count": 171,
+   "id": "9df30415-2797-4600-8d2f-3912afba94a9",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>scenario</th>\n",
+       "      <th>year</th>\n",
+       "      <th>freshet_start_date</th>\n",
+       "      <th>discharge_m3s</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>historical</td>\n",
+       "      <td>2000</td>\n",
+       "      <td>2000-05-17</td>\n",
+       "      <td>561.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>historical</td>\n",
+       "      <td>2001</td>\n",
+       "      <td>2001-05-04</td>\n",
+       "      <td>510.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>historical</td>\n",
+       "      <td>2002</td>\n",
+       "      <td>2002-05-07</td>\n",
+       "      <td>600.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>historical</td>\n",
+       "      <td>2003</td>\n",
+       "      <td>2003-04-26</td>\n",
+       "      <td>600.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>historical</td>\n",
+       "      <td>2004</td>\n",
+       "      <td>2004-04-14</td>\n",
+       "      <td>533.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>246</th>\n",
+       "      <td>ssp370</td>\n",
+       "      <td>2095</td>\n",
+       "      <td>2095-03-06</td>\n",
+       "      <td>573.481886</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>247</th>\n",
+       "      <td>ssp370</td>\n",
+       "      <td>2096</td>\n",
+       "      <td>2096-03-23</td>\n",
+       "      <td>520.442698</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>248</th>\n",
+       "      <td>ssp370</td>\n",
+       "      <td>2097</td>\n",
+       "      <td>2097-04-19</td>\n",
+       "      <td>511.132103</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>249</th>\n",
+       "      <td>ssp370</td>\n",
+       "      <td>2098</td>\n",
+       "      <td>2098-03-16</td>\n",
+       "      <td>601.581833</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>250</th>\n",
+       "      <td>ssp370</td>\n",
+       "      <td>2099</td>\n",
+       "      <td>2099-03-12</td>\n",
+       "      <td>545.881703</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>251 rows × 4 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       scenario  year freshet_start_date  discharge_m3s\n",
+       "0    historical  2000         2000-05-17     561.000000\n",
+       "1    historical  2001         2001-05-04     510.000000\n",
+       "2    historical  2002         2002-05-07     600.000000\n",
+       "3    historical  2003         2003-04-26     600.000000\n",
+       "4    historical  2004         2004-04-14     533.000000\n",
+       "..          ...   ...                ...            ...\n",
+       "246      ssp370  2095         2095-03-06     573.481886\n",
+       "247      ssp370  2096         2096-03-23     520.442698\n",
+       "248      ssp370  2097         2097-04-19     511.132103\n",
+       "249      ssp370  2098         2098-03-16     601.581833\n",
+       "250      ssp370  2099         2099-03-12     545.881703\n",
+       "\n",
+       "[251 rows x 4 columns]"
+      ]
+     },
+     "execution_count": 171,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "breakup_start_dates = find_breakup_dates(\n",
+    "    projection_data=projection_data,\n",
+    "    start_year_hist=2000,\n",
+    "    end_year_hist=2025,\n",
+    "    start_year_fut=2025,\n",
+    "    end_year_fut=2099)\n",
+    "\n",
+    "breakup_start_dates"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 178,
+   "id": "97f168cf-da9e-493f-8714-11f0066a7903",
    "metadata": {},
    "outputs": [],
    "source": [
-    "def find_freshet_start_dates(ensemble_data, start_year, end_year):\n",
+    "def plot_freshet_barchart_10day(freshet_dates, title, colname):\n",
     "\n",
-    "    freshet_dates = []\n",
+    "    data = freshet_dates.copy()\n",
     "\n",
-    "    for year in range(start_year, end_year + 1):\n",
+    "    # Convert freshet start date to day-of-year\n",
+    "    data[\"doy\"] = data[colname].dt.dayofyear\n",
     "\n",
-    "        year_start = pd.to_datetime(f\"{year}-03-01\")\n",
-    "        year_end = pd.to_datetime(f\"{year}-08-01\")\n",
+    "    # Define 10-day bins\n",
+    "    min_doy = int(data[\"doy\"].min())\n",
+    "    max_doy = int(data[\"doy\"].max())\n",
     "\n",
-    "        season_data = ensemble_data[\n",
-    "            (ensemble_data.index >= year_start) &\n",
-    "            (ensemble_data.index <= year_end)\n",
-    "        ]\n",
+    "    bins = np.arange(min_doy, max_doy + 10, 10)\n",
     "\n",
-    "        above_critical = season_data[season_data[\"Mean\"] > q_critical]\n",
+    "    data[\"date_bin\"] = pd.cut(data[\"doy\"], bins=bins, right=False)\n",
     "\n",
-    "        if len(above_critical) > 0:\n",
-    "            freshet_date = above_critical.index[0]\n",
-    "            discharge = above_critical.iloc[0][\"Mean\"]\n",
-    "        else:\n",
-    "            freshet_date = pd.NaT\n",
-    "            discharge = np.nan\n",
+    "    # Count number of freshet dates per scenario per bin\n",
+    "    count_table = (data.groupby([\"date_bin\", \"scenario\"]).size().reset_index(name=\"count\"))\n",
     "\n",
-    "        freshet_dates.append({\n",
-    "            \"year\": year,\n",
-    "            \"freshet_start\": freshet_date,\n",
-    "            \"freshet_discharge\": discharge\n",
-    "        })\n",
+    "    # Create readable labels for bins\n",
+    "    bin_labels = []\n",
+    "\n",
+    "    for interval in count_table[\"date_bin\"].cat.categories:\n",
+    "        start_date = pd.Timestamp(\"2000-01-01\") + pd.Timedelta(days=int(interval.left) - 1)\n",
+    "        end_date   = pd.Timestamp(\"2000-01-01\") + pd.Timedelta(days=int(interval.right) - 2)\n",
+    "\n",
+    "        label = f\"{start_date.strftime('%b %d')}-{end_date.strftime('%b %d')}\"\n",
+    "        bin_labels.append(label)\n",
+    "\n",
+    "    label_map = dict(zip(count_table[\"date_bin\"].cat.categories, bin_labels))\n",
+    "    \n",
+    "    count_table[\"date_bin_label\"] = count_table[\"date_bin\"].map(label_map)\n",
+    "\n",
+    "    # Pivot for plotting\n",
+    "    plot_table = count_table.pivot_table(index=\"date_bin_label\", columns=\"scenario\", values=\"count\", fill_value=0)\n",
+    "\n",
+    "    # Remove bins where all scenarios have zero observations\n",
+    "    plot_table = plot_table.loc[plot_table.sum(axis=1) > 0]\n",
+    "\n",
+    "    # Plot\n",
+    "    plot_table.plot(kind=\"bar\", figsize=(10, 5), color=[colours[scenario] for scenario in plot_table.columns])\n",
     "\n",
-    "    return pd.DataFrame(freshet_dates)"
+    "    plt.xlabel(f\"{title} date range\")\n",
+    "    plt.ylabel(\"Number of years\")\n",
+    "    plt.title(f\"Distribution of {title} dates by climate scenario\")\n",
+    "    plt.grid(axis=\"y\")\n",
+    "    plt.legend(title=\"Scenario\")\n",
+    "    plt.xticks(rotation=45, ha=\"right\")\n",
+    "    plt.tight_layout()\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 179,
+   "id": "a6986d98-c133-4875-91f5-2dda53e802eb",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/tmp/ipykernel_177225/4162535211.py:17: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n",
+      "/tmp/ipykernel_177225/4162535211.py:34: FutureWarning: The default value of observed=False is deprecated and will change to observed=True in a future version of pandas. Specify observed=False to silence this warning and retain the current behavior\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1000x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_freshet_barchart_10day(freshet_dates=breakup_start_dates, colname=\"freshet_start_date\", title=\"Break up\")"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "0ada13c2-53db-4c9d-b8a7-94c3a05a35be",
+   "id": "0d3cfb77-d565-4e40-b812-148fd7eae55a",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b3ab2788-80e6-469d-b77e-d7b56c641f1c",
+   "metadata": {},
+   "source": [
+    "### 7.2 River freeze up"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "acbc5f0f-9a45-425f-9175-a5798c562790",
+   "metadata": {},
+   "source": [
+    "The first step is to find the freeze dates using the def function below. After the previously made barchart function can be called."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 135,
+   "id": "4fcf6ad4-1157-4fbe-b859-fc6dbd2ba79a",
    "metadata": {},
    "outputs": [],
    "source": [
-    "def find_freezeup_dates(forcing_path, start_year, end_year, AFDD_critical=30):\n",
+    "AFDD_critical = 30\n",
     "\n",
-    "    tas_da, _, _ = load_variable(forcing_path, \"tas\")\n",
+    "def find_freezeup_dates(forcing_data, start_year_fut, end_year_fut, start_year_hist, end_year_hist):\n",
     "\n",
-    "    tas = to_series(tas_da)\n",
+    "    AFDD_critical_dates = []\n",
     "\n",
-    "    if tas.mean() > 100:\n",
-    "        tas = tas - 273.15\n",
+    "    for scenario in scenarios_new:\n",
     "\n",
-    "    freezeup_dates = []\n",
+    "        # Extract temperature above surface (tas) data\n",
+    "        temp_data = forcing_data_all[scenario][\"tas\"]\n",
     "\n",
-    "    for year in range(start_year, end_year + 1):\n",
+    "        # Convert into df to make life easier\n",
+    "        temp_data = pd.DataFrame({\"Date\": temp_data.index, \"Temp\": temp_data.values})\n",
     "\n",
-    "        year_start = pd.to_datetime(f\"{year}-10-01\")\n",
-    "        year_end = pd.to_datetime(f\"{year}-12-31\")\n",
+    "        # Conver to datetime\n",
+    "        temp_data[\"Date\"] = pd.to_datetime(temp_data[\"Date\"])\n",
     "\n",
-    "        year_tas = tas[\n",
-    "            (tas.index >= year_start) &\n",
-    "            (tas.index <= year_end)\n",
-    "        ]\n",
+    "        # Assign year to each data point\n",
+    "        temp_data[\"Year\"] = temp_data[\"Date\"].dt.year\n",
     "\n",
-    "        AFDD = 0\n",
-    "        freezeup_date = pd.NaT\n",
-    "        freezeup_temp = np.nan\n",
+    "        if scenario == \"historical\":\n",
+    "            \n",
+    "            start_year_use = start_year_hist\n",
+    "            end_year_use = end_year_hist\n",
     "\n",
-    "        for date, temp in year_tas.items():\n",
+    "        else:\n",
     "\n",
-    "            if temp < 0:\n",
-    "                AFDD += -temp\n",
+    "            start_year_use = start_year_fut\n",
+    "            end_year_use = end_year_fut\n",
+    "    \n",
+    "        # Loop through every year\n",
+    "        for year in range(start_year_use, end_year_use + 1):\n",
     "\n",
-    "            if AFDD >= AFDD_critical:\n",
-    "                freezeup_date = date\n",
-    "                freezeup_temp = temp\n",
-    "                break\n",
+    "            # Start counting from October 1 to eliminate anomalies\n",
+    "            year_data = temp_data[\n",
+    "                (temp_data[\"Year\"] == year) &\n",
+    "                (temp_data[\"Date\"] >= pd.to_datetime(f\"{year}-10-01\"))]\n",
     "\n",
-    "        freezeup_dates.append({\n",
-    "            \"year\": year,\n",
-    "            \"freezeup_date\": freezeup_date,\n",
-    "            \"AFDD\": AFDD,\n",
-    "            \"temp_at_freezeup\": freezeup_temp\n",
-    "        })\n",
+    "            # Set 0 as starting point for counting cumulative\n",
+    "            AFDD = 0\n",
+    "\n",
+    "            # Loop through all data points in a year\n",
+    "            for i in range(len(year_data)):\n",
+    "\n",
+    "                temp = year_data.iloc[i][\"Temp\"]\n",
+    "                date = year_data.iloc[i][\"Date\"]\n",
+    "\n",
+    "                # Cumulative AFDD\n",
+    "                if temp < 0:\n",
+    "                    AFDD += -temp\n",
+    "\n",
+    "                # Append when AFDD is critical\n",
+    "                if AFDD >= AFDD_critical:\n",
+    "\n",
+    "                    AFDD_critical_dates.append({\n",
+    "                        \"scenario\": scenario,\n",
+    "                        \"year\": year,\n",
+    "                        \"AFDD_critical_date\": date,\n",
+    "                        \"AFDD\": AFDD,\n",
+    "                        \"Temp\": temp})\n",
+    "                    \n",
+    "                    break\n",
     "\n",
-    "    return pd.DataFrame(freezeup_dates)"
+    "    AFDD_critical_dates = pd.DataFrame(AFDD_critical_dates)\n",
+    "\n",
+    "    return AFDD_critical_dates"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "752ea8b9-c790-43a4-88e3-39a955e2a503",
+   "execution_count": 184,
+   "id": "d28d2ac0-7eeb-4027-85c4-88fd4c498611",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>scenario</th>\n",
+       "      <th>year</th>\n",
+       "      <th>AFDD_critical_date</th>\n",
+       "      <th>AFDD</th>\n",
+       "      <th>Temp</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>historical</td>\n",
+       "      <td>1989</td>\n",
+       "      <td>1989-11-01</td>\n",
+       "      <td>32.489258</td>\n",
+       "      <td>-2.629700</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>historical</td>\n",
+       "      <td>1990</td>\n",
+       "      <td>1990-11-12</td>\n",
+       "      <td>30.216248</td>\n",
+       "      <td>-6.528046</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>historical</td>\n",
+       "      <td>1991</td>\n",
+       "      <td>1991-11-15</td>\n",
+       "      <td>31.900940</td>\n",
+       "      <td>-2.974640</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>historical</td>\n",
+       "      <td>1992</td>\n",
+       "      <td>1992-11-01</td>\n",
+       "      <td>36.211761</td>\n",
+       "      <td>-10.461182</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>historical</td>\n",
+       "      <td>1993</td>\n",
+       "      <td>1993-10-09</td>\n",
+       "      <td>30.085388</td>\n",
+       "      <td>-0.323120</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>246</th>\n",
+       "      <td>ssp370</td>\n",
+       "      <td>2095</td>\n",
+       "      <td>2095-11-15</td>\n",
+       "      <td>32.214935</td>\n",
+       "      <td>-7.631531</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>247</th>\n",
+       "      <td>ssp370</td>\n",
+       "      <td>2096</td>\n",
+       "      <td>2096-11-25</td>\n",
+       "      <td>34.426178</td>\n",
+       "      <td>-6.217194</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>248</th>\n",
+       "      <td>ssp370</td>\n",
+       "      <td>2097</td>\n",
+       "      <td>2097-11-19</td>\n",
+       "      <td>35.140442</td>\n",
+       "      <td>-7.922821</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>249</th>\n",
+       "      <td>ssp370</td>\n",
+       "      <td>2098</td>\n",
+       "      <td>2098-11-14</td>\n",
+       "      <td>31.264648</td>\n",
+       "      <td>-9.818970</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>250</th>\n",
+       "      <td>ssp370</td>\n",
+       "      <td>2099</td>\n",
+       "      <td>2099-11-21</td>\n",
+       "      <td>32.216797</td>\n",
+       "      <td>-10.493774</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>251 rows × 5 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       scenario  year AFDD_critical_date       AFDD       Temp\n",
+       "0    historical  1989         1989-11-01  32.489258  -2.629700\n",
+       "1    historical  1990         1990-11-12  30.216248  -6.528046\n",
+       "2    historical  1991         1991-11-15  31.900940  -2.974640\n",
+       "3    historical  1992         1992-11-01  36.211761 -10.461182\n",
+       "4    historical  1993         1993-10-09  30.085388  -0.323120\n",
+       "..          ...   ...                ...        ...        ...\n",
+       "246      ssp370  2095         2095-11-15  32.214935  -7.631531\n",
+       "247      ssp370  2096         2096-11-25  34.426178  -6.217194\n",
+       "248      ssp370  2097         2097-11-19  35.140442  -7.922821\n",
+       "249      ssp370  2098         2098-11-14  31.264648  -9.818970\n",
+       "250      ssp370  2099         2099-11-21  32.216797 -10.493774\n",
+       "\n",
+       "[251 rows x 5 columns]"
+      ]
+     },
+     "execution_count": 184,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "freshet_dates = find_freshet_start_dates(\n",
-    "    ensemble_data=ensemble_data_CMIP,\n",
-    "    start_year=start_year,\n",
-    "    end_year=end_year\n",
-    ")\n",
-    "\n",
-    "freezeup_dates = find_freezeup_dates(\n",
-    "    forcing_path=forcing_path_CMIP,\n",
-    "    start_year=start_year,\n",
-    "    end_year=end_year,\n",
-    "    AFDD_critical=AFDD_critical\n",
-    ")\n",
-    "\n",
-    "open_water_dates = freshet_dates.merge(\n",
-    "    freezeup_dates,\n",
-    "    on=\"year\",\n",
-    "    how=\"inner\"\n",
-    ")\n",
-    "\n",
-    "open_water_dates[\"open_water_days\"] = (\n",
-    "    open_water_dates[\"freezeup_date\"] - open_water_dates[\"freshet_start\"]\n",
-    ").dt.days\n",
+    "freezeup_dates_future = find_freezeup_dates(\n",
+    "    forcing_data=forcing_data,\n",
+    "    start_year=2025,\n",
+    "    end_year=2099,\n",
+    "    start_year_hist=1989,\n",
+    "    end_year_hist=2014)\n",
+    "\n",
+    "freezeup_dates_future"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9a77b9ec-a2d3-440e-8ecb-feb9517d880c",
+   "metadata": {},
+   "source": [
+    "The second step is to visualise this data (below)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 185,
+   "id": "9ccf8722-04a8-4903-b2cf-a4fd4d08535b",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/tmp/ipykernel_177225/4162535211.py:17: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n",
+      "/tmp/ipykernel_177225/4162535211.py:34: FutureWarning: The default value of observed=False is deprecated and will change to observed=True in a future version of pandas. Specify observed=False to silence this warning and retain the current behavior\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1000x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Call barchart function from 7.1\n",
     "\n",
-    "open_water_dates"
+    "plot_freshet_barchart_10day(freshet_dates=freezeup_dates_future, colname=\"AFDD_critical_date\", title=\"Freeze up\")"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "427391b5-c9bb-4e73-8ecc-b2c8fb60b4a9",
+   "id": "748ecf99-59bc-4a79-a154-a50f52eef455",
    "metadata": {},
    "outputs": [],
    "source": []
@@ -2432,7 +3017,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "4fcf6ad4-1157-4fbe-b859-fc6dbd2ba79a",
+   "id": "4d948008-25f8-4c84-866d-5e69348083bf",
    "metadata": {},
    "outputs": [],
    "source": []

From 3aca51136b90d99a9a47677a35f90fc72112f1d6 Mon Sep 17 00:00:00 2001
From: Maxime <mxdebekker@gmail.com>
Date: Thu, 11 Jun 2026 17:18:38 +0200
Subject: [PATCH 20/24] Minor improvements

Minor improvements / code optimisation / debugging
---
 Workyard/HBV_Validation_Ensemble.ipynb        | 1382 -----------------
 .../Step2_Trial_model_LAR.ipynb               |  194 ++-
 .../Step1_ERA5_Forcings_Generation.ipynb      |  551 ++-----
 .../Workyard/Step6_CMIP_History.ipynb         | 1217 ++++-----------
 .../Workyard/Step7_CMIP_Projections.ipynb     |  279 +++-
 5 files changed, 755 insertions(+), 2868 deletions(-)
 delete mode 100644 Workyard/HBV_Validation_Ensemble.ipynb

diff --git a/Workyard/HBV_Validation_Ensemble.ipynb b/Workyard/HBV_Validation_Ensemble.ipynb
deleted file mode 100644
index c44a885a..00000000
--- a/Workyard/HBV_Validation_Ensemble.ipynb
+++ /dev/null
@@ -1,1382 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "9ca8fd44-6292-4af4-9100-d3256fccd960",
-   "metadata": {},
-   "source": [
-    "# Ensemble validation\n",
-    "\n",
-    "The 5 parameter sets calculkated in Calibration_HBV.ipynb will be used for a validation period, in which the log NSE will be calculated, a mean will be calculated and total low flow days during the navigation season.\n",
-    "\n",
-    "The structure of this notebook is as follows:\n",
-    "\n",
-    "### 1. Startup\n",
-    "### 2. Model Setup\n",
-    "### 3. Running model\n",
-    "### 4. LNSE calculation\n",
-    "### 5. Display results\n",
-    "### 6. Lowflow calculation"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "bdb4216e-a341-4c2b-a410-35170773a9a7",
-   "metadata": {},
-   "source": [
-    "## 1. Startup"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 191,
-   "id": "d197b8f0-0f85-4a41-b2fb-1b2a8cf3f9f5",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# General python\n",
-    "import warnings\n",
-    "warnings.filterwarnings(\"ignore\", category=UserWarning)\n",
-    "\n",
-    "import numpy as np\n",
-    "from pathlib import Path\n",
-    "import pandas as pd\n",
-    "import matplotlib.pyplot as plt\n",
-    "import xarray as xr\n",
-    "\n",
-    "# Niceties\n",
-    "from rich import print"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 192,
-   "id": "dd7b7d3f-1489-4723-bb51-f3cffcb7a85c",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# General eWaterCycle\n",
-    "import ewatercycle\n",
-    "import ewatercycle.models\n",
-    "import ewatercycle.forcing"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 193,
-   "id": "1c8aee93-b2d6-4291-89ae-1d29e69268cd",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Defining things\n",
-    "\n",
-    "basin_size = 132572\n",
-    "q_critical = 500"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 194,
-   "id": "d7dce039-d1f3-44a0-b646-98c32ecffb28",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Choosing time period\n",
-    "\n",
-    "experiment_start_date = \"2019-01-01T00:00:00Z\"\n",
-    "experiment_end_date = \"2024-12-31T00:00:00Z\"\n",
-    "\n",
-    "validation_start = \"1999-01-01T00:00:00Z\"\n",
-    "validation_end = \"2019-12-31T00:00:00Z\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 195,
-   "id": "d330bf37-7419-4287-81af-3d09e4c7a30e",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Create pathways for ERA 5 forcings\n",
-    "\n",
-    "forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"ERA5-1999-2019\"\n",
-    "\n",
-    "discharge_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
-    "\n",
-    "shape_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
-    "\n",
-    "hbv_config = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"hbv_config\"\n",
-    "hbv_config.mkdir(parents=True, exist_ok=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 196,
-   "id": "46ea8b1e-fb73-49ed-855c-4d95cd932748",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Load CSV discharge 07DA001\n",
-    "\n",
-    "q_obs = pd.read_csv(discharge_file, skiprows=1)\n",
-    "q_obs = q_obs[[\"Date\", \"Value\"]].copy()\n",
-    "q_obs[\"Date\"] = pd.to_datetime(q_obs[\"Date\"])\n",
-    "q_obs = q_obs.rename(columns={\"Value\": \"discharge_m3s\"})"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 197,
-   "id": "8bb224ad-d23c-475f-b6af-4a6023a17044",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Define time period\n",
-    "validation_start_date = pd.to_datetime(validation_start.replace(\"Z\", \"\"))\n",
-    "validation_end_date = pd.to_datetime(validation_end.replace(\"Z\", \"\"))\n",
-    "\n",
-    "# Skip 1 year for calibration\n",
-    "evaluation_start = pd.to_datetime(f\"{validation_start_date.year + 1}-01-01\")\n",
-    "\n",
-    "# Align q_obs\n",
-    "q_obs = q_obs[(q_obs[\"Date\"] >= validation_start_date) & (q_obs[\"Date\"] <= validation_end_date)]\n",
-    "observed_output = pd.Series(data=q_obs[\"discharge_m3s\"].to_numpy(), name=\"Observed discharge\", index=q_obs[\"Date\"])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 198,
-   "id": "fc27f6f8-e7ff-4be6-b073-05006d25426a",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Date\n",
-       "1999-01-01    104.0\n",
-       "1999-01-02    103.0\n",
-       "1999-01-03    101.0\n",
-       "1999-01-04    103.0\n",
-       "1999-01-05    105.0\n",
-       "Name: Observed discharge, dtype: float64"
-      ]
-     },
-     "execution_count": 198,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "observed_output.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 199,
-   "id": "7f6f57aa-9f39-4524-ba3a-34f55035ebab",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "<Figure size 1200x500 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Plot q_obs\n",
-    "\n",
-    "plt.figure(figsize=(12, 5))\n",
-    "plt.plot(q_obs[\"Date\"], q_obs[\"discharge_m3s\"])\n",
-    "\n",
-    "plt.xlabel(\"Date\")\n",
-    "plt.ylabel(\"Discharge (m³/s)\")\n",
-    "plt.title(\"Observed daily discharge at 07DA001\")\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "a48b5085-6478-4cf2-bd02-75b75f82e90f",
-   "metadata": {},
-   "source": [
-    "### Generate/Load ERA5 data"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 200,
-   "id": "77e79b20-3e4d-405a-bd88-16bdc50bdb39",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">LumpedMakkinkForcing</span><span style=\"font-weight: bold\">(</span>\n",
-       "    <span style=\"color: #808000; text-decoration-color: #808000\">start_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'1999-01-01T00:00:00Z'</span>,\n",
-       "    <span style=\"color: #808000; text-decoration-color: #808000\">end_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'2019-12-31T00:00:00Z'</span>,\n",
-       "    <span style=\"color: #808000; text-decoration-color: #808000\">directory</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1999-2019'</span><span style=\"font-weight: bold\">)</span>,\n",
-       "    <span style=\"color: #808000; text-decoration-color: #808000\">shape</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'</span><span style=\"font-weight: bold\">)</span>,\n",
-       "    <span style=\"color: #808000; text-decoration-color: #808000\">filenames</span>=<span style=\"font-weight: bold\">{</span>\n",
-       "        <span style=\"color: #008000; text-decoration-color: #008000\">'evspsblpot'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1999_2019_evspsblpot.nc'</span>,\n",
-       "        <span style=\"color: #008000; text-decoration-color: #008000\">'pr'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1999_2019_pr.nc'</span>,\n",
-       "        <span style=\"color: #008000; text-decoration-color: #008000\">'rsds'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1999_2019_rsds.nc'</span>,\n",
-       "        <span style=\"color: #008000; text-decoration-color: #008000\">'tas'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1999_2019_tas.nc'</span>\n",
-       "    <span style=\"font-weight: bold\">}</span>\n",
-       "<span style=\"font-weight: bold\">)</span>\n",
-       "</pre>\n"
-      ],
-      "text/plain": [
-       "\u001b[1;35mLumpedMakkinkForcing\u001b[0m\u001b[1m(\u001b[0m\n",
-       "    \u001b[33mstart_time\u001b[0m=\u001b[32m'1999-01-01T00:00:00Z'\u001b[0m,\n",
-       "    \u001b[33mend_time\u001b[0m=\u001b[32m'2019-12-31T00:00:00Z'\u001b[0m,\n",
-       "    \u001b[33mdirectory\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1999-2019'\u001b[0m\u001b[1m)\u001b[0m,\n",
-       "    \u001b[33mshape\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'\u001b[0m\u001b[1m)\u001b[0m,\n",
-       "    \u001b[33mfilenames\u001b[0m=\u001b[1m{\u001b[0m\n",
-       "        \u001b[32m'evspsblpot'\u001b[0m: \u001b[32m'combined_ERA5_1999_2019_evspsblpot.nc'\u001b[0m,\n",
-       "        \u001b[32m'pr'\u001b[0m: \u001b[32m'combined_ERA5_1999_2019_pr.nc'\u001b[0m,\n",
-       "        \u001b[32m'rsds'\u001b[0m: \u001b[32m'combined_ERA5_1999_2019_rsds.nc'\u001b[0m,\n",
-       "        \u001b[32m'tas'\u001b[0m: \u001b[32m'combined_ERA5_1999_2019_tas.nc'\u001b[0m\n",
-       "    \u001b[1m}\u001b[0m\n",
-       "\u001b[1m)\u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Generate ERA5 data\n",
-    "# ERA5_forcing = ewatercycle.forcing.sources['LumpedMakkinkForcing'].generate(\n",
-    "#     dataset=\"ERA5\",\n",
-    "#     start_time=experiment_start_date,\n",
-    "#     end_time=experiment_end_date,\n",
-    "#     shape=shape_file,\n",
-    "# )\n",
-    "\n",
-    "# Load data\n",
-    "\n",
-    "ERA5_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=forcing_path_ERA5)\n",
-    "\n",
-    "print(ERA5_forcing)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "09f9dfb3-40c9-4689-98b8-fd1ea8fd72d1",
-   "metadata": {},
-   "source": [
-    "### Load parameter sets & initial storages"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 201,
-   "id": "ca2be146-1112-4806-a44f-d57ebd4442c9",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Load calibration constants\n",
-    "\n",
-    "# par_0 = [4.45787, 0.42307, 201.57602, 2.36497, 0.26755, 8.62964, 0.083568, 0.0037073, 0.29645]\n",
-    "# par_0 = [2.79874, 0.49211, 255.96478, 1.782968, 0.503199, 6.095956, 0.33279, 0.10539, 0.63857]\n",
-    "# par_0 = [6.279135, 0.4808243, 174.127749, 1.9527195, 0.3305087, 6.19919, 0.0768362, 0.004366398, 0.4076606]         # 0.725 val, 0.x cal - Fav run 2\n",
-    "# par_0 = [6.28908, 0.423917, 173.56627, 1.63144, 0.402586, 6.56151, 0.0456809, 0.00313744, 0.516696]                 # 0.702 val, 0.x cal\n",
-    "# par_0 = [6.4919, 0.386877, 221.78625, 1.388269, 0.276453, 4.9870704, 0.04126777, 0.05640195, 1.148877]              # 0.668 val, 0.x cal\n",
-    "# par_0 = [7.502398, 0.38028, 194.1899, 1.680197, 0.47956, 4.8566806, 0.041745354, 0.02833896, 1.051862]              # 0.677 val, 0.x cal\n",
-    "# par_0 = [5.5464, 0.46496, 187.8548, 1.82803, 0.440628, 6.29496, 0.062766, 0.033095, 0.80392]                        # 0.781 val, 0.776 cal\n",
-    "# par_0 = [6.16512, 0.4369419, 151.2515900, 1.727835, 0.3771705, 6.19265974, 0.06959136, 0.001310818, 0.8130732]      # 0.664 val, 0.791 cal\n",
-    "# par_0 = [5.7107, 0.441634, 172.81305, 1.87367, 0.588802, 5.498147, 0.060305, 0.019666, 1.2011814]                    # x val, 0.73 cal         Start of 5+ months exclusion\n",
-    "# par_0 = [7.35776, 0.432509, 192.67085, 1.66088, 0.289296, 5.323766, 0.037268, 0.004399, 1.146504]                    # 0.82 val, 0.818 cal - Fav run 1      \n",
-    "# par_0 = [7.23868, 0.47495, 181.82012, 1.8232, 0.4884032, 5.546412, 0.0449439, 0.00231717, 1.25052]                    #  val,  0.77 cal    \n",
-    "# par_0 = [7.9355, 0.4593, 219.6962, 1.72624, 0.26391, 5.810765, 0.04804, 0.0155065, 0.76857]                           # 0.78 val, 0.71 cal - potential inclusion\n",
-    "\n",
-    "par_ensemble = [\n",
-    "    [6.279135, 0.4808243, 174.127749, 1.9527195, 0.3305087, 6.19919, 0.0768362, 0.004366398, 0.4076606],\n",
-    "    [7.35776, 0.432509, 192.67085, 1.66088, 0.289296, 5.323766, 0.037268, 0.004399, 1.146504],\n",
-    "    [7.9355, 0.4593, 219.6962, 1.72624, 0.26391, 5.810765, 0.04804, 0.0155065, 0.76857],\n",
-    "    [5.5464, 0.46496, 187.8548, 1.82803, 0.440628, 6.29496, 0.062766, 0.033095, 0.80392],\n",
-    "   [7.23868, 0.47495, 181.82012, 1.8232, 0.4884032, 5.546412, 0.0449439, 0.00231717, 1.25052]\n",
-    "]\n",
-    "\n",
-    "\n",
-    "par_names = [\"Imax\",         # Maximum interception storage\n",
-    "               \"Ce\",         # Evaporation correction factor\n",
-    "               \"Sumax\",      # Maximum soil moisture storage\n",
-    "               \"Beta\",       # Soil runoff parameter\n",
-    "               \"Pmax\",       # Maximum percolation rate\n",
-    "               \"Tlag\",       # Time lag\n",
-    "               \"Kf\",         # Fast reservoir recession coefficient\n",
-    "               \"Ks\",         # Slow reservoir recession coefficient\n",
-    "               \"FM\"          # Snowmelt factor\n",
-    "               ]\n",
-    "\n",
-    "# Initial: par_0 = [5.085, 0.55, 100.373, 1.612, 0.545, 3.801, 0.196, 0.00, 0.185]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 202,
-   "id": "d5e5bcb4-bf90-470b-90ed-4a0b9d80c35d",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Storages\n",
-    "\n",
-    "#               Si,  Su, Sf, Ss, Sp\n",
-    "s_0 = np.array([0,  100,  0,  5,  0])"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "06c977b4-ba9d-4e82-8415-42180eac9f01",
-   "metadata": {},
-   "source": [
-    "## 2. Model setup"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 203,
-   "id": "055bdbc8-af1f-41ac-ad1d-b4da4d6785f6",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def run_hbv(parameters, initial_storages, forcing):\n",
-    "\n",
-    "    # Creating model object\n",
-    "    model = ewatercycle.models.HBV(forcing=forcing)\n",
-    "\n",
-    "    # Creating config file\n",
-    "    config_file, _ = model.setup(\n",
-    "        parameters=parameters,\n",
-    "        initial_storages=initial_storages,\n",
-    "        cfg_dir=hbv_config\n",
-    "    )\n",
-    "\n",
-    "    # Initialising model\n",
-    "    model.initialize(config_file)\n",
-    "\n",
-    "    # Define & update outputs\n",
-    "    Q_m = []\n",
-    "    time = []\n",
-    "\n",
-    "    while model.time < model.end_time:\n",
-    "        model.update()\n",
-    "        Q_m.append(model.get_value(\"Q\")[0])\n",
-    "        time.append(pd.Timestamp(model.time_as_datetime))\n",
-    "\n",
-    "    model.finalize()\n",
-    "\n",
-    "    # Convert mm/day to m3/s\n",
-    "    model_output_mmday = pd.Series(\n",
-    "        data=Q_m,\n",
-    "        index=time,\n",
-    "        name=\"Modelled discharge\"\n",
-    "    )\n",
-    "\n",
-    "    model_output_m3s = model_output_mmday * basin_size * 1000 / 86400\n",
-    "\n",
-    "    return model_output_m3s"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "650daf1f-e90f-4b5b-aac5-eca8965de7cf",
-   "metadata": {},
-   "source": [
-    "## 3. Running model"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 204,
-   "id": "44092959-524a-4330-a274-77cfad0eacd6",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def run_hbv_ensemble(par_ensemble, initial_storages, forcing):\n",
-    "\n",
-    "    # Define amount of parameter sets\n",
-    "    N = len(par_ensemble)\n",
-    "    \n",
-    "    # Create dataframe to append data to & add column for observed data\n",
-    "    ensemble_data = pd.DataFrame()\n",
-    "\n",
-    "    for i in range(N):\n",
-    "\n",
-    "        print(f\"Running parameter set {i+1}/{N}\")\n",
-    "\n",
-    "        # Run HBV model for the parameter sets \n",
-    "        simulated = run_hbv(\n",
-    "            parameters=par_ensemble[i],\n",
-    "            initial_storages=initial_storages,\n",
-    "            forcing=forcing\n",
-    "        )\n",
-    "\n",
-    "        # Filter data by day only, not by day & time to prevent alignment issues\n",
-    "        simulated_daily = simulated\n",
-    "\n",
-    "        simulated_daily.index = pd.to_datetime(simulated_daily.index).tz_localize(None).normalize()\n",
-    "        simulated_daily.name = f\"Set {i+1}\"\n",
-    "         \n",
-    "        # Append new column for every parameter set results\n",
-    "        ensemble_data[f\"Set {i+1}\"] = simulated\n",
-    "\n",
-    "    # Filter observed data by day\n",
-    "    observed_daily = observed_output\n",
-    "    observed_daily.index = pd.to_datetime(observed_daily.index).tz_localize(None).normalize()\n",
-    "\n",
-    "    # Add mean of all sets\n",
-    "    ensemble_data[\"Mean\"] = ensemble_data.mean(axis=1)\n",
-    "    ensemble_data['Observed discharge'] = observed_daily\n",
-    "\n",
-    "    return ensemble_data"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 205,
-   "id": "079368de-30cf-491f-8cc9-2021f6a4bfa6",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
-       "</pre>\n"
-      ],
-      "text/plain": [
-       "Running parameter set \u001b[1;36m1\u001b[0m/\u001b[1;36m5\u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
-       "</pre>\n"
-      ],
-      "text/plain": [
-       "Running parameter set \u001b[1;36m2\u001b[0m/\u001b[1;36m5\u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
-       "</pre>\n"
-      ],
-      "text/plain": [
-       "Running parameter set \u001b[1;36m3\u001b[0m/\u001b[1;36m5\u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
-       "</pre>\n"
-      ],
-      "text/plain": [
-       "Running parameter set \u001b[1;36m4\u001b[0m/\u001b[1;36m5\u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
-       "</pre>\n"
-      ],
-      "text/plain": [
-       "Running parameter set \u001b[1;36m5\u001b[0m/\u001b[1;36m5\u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Set 1</th>\n",
-       "      <th>Set 2</th>\n",
-       "      <th>Set 3</th>\n",
-       "      <th>Set 4</th>\n",
-       "      <th>Set 5</th>\n",
-       "      <th>Mean</th>\n",
-       "      <th>Observed discharge</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>1999-01-02</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>103.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1999-01-03</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>101.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1999-01-04</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>103.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1999-01-05</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>105.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1999-01-06</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>108.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "            Set 1  Set 2  Set 3  Set 4  Set 5  Mean  Observed discharge\n",
-       "1999-01-02    0.0    0.0    0.0    0.0    0.0   0.0               103.0\n",
-       "1999-01-03    0.0    0.0    0.0    0.0    0.0   0.0               101.0\n",
-       "1999-01-04    0.0    0.0    0.0    0.0    0.0   0.0               103.0\n",
-       "1999-01-05    0.0    0.0    0.0    0.0    0.0   0.0               105.0\n",
-       "1999-01-06    0.0    0.0    0.0    0.0    0.0   0.0               108.0"
-      ]
-     },
-     "execution_count": 205,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ensemble_data = run_hbv_ensemble(\n",
-    "    par_ensemble=par_ensemble,\n",
-    "    initial_storages=s_0,\n",
-    "    forcing=ERA5_forcing\n",
-    ")\n",
-    "\n",
-    "ensemble_data.head()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "96d6162f-f432-4dfc-9194-f522a2e6a6da",
-   "metadata": {},
-   "source": [
-    "## 4. LNSE Calculation"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 206,
-   "id": "37567a9e-dff3-4c80-84e0-572a6ed72b68",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Calculate log NSE\n",
-    "\n",
-    "def LNSE(sim, obs):\n",
-    "    \n",
-    "    sim = sim.to_numpy()\n",
-    "    obs = obs.to_numpy()\n",
-    "\n",
-    "    # Avoid log(0)\n",
-    "    eps = 0.00000000001\n",
-    "\n",
-    "    log_sim = np.log(sim + eps)\n",
-    "    log_obs = np.log(obs + eps)\n",
-    "\n",
-    "    return 1 - np.sum((log_obs - log_sim) ** 2) / np.sum((log_obs - np.mean(log_obs)) ** 2)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 207,
-   "id": "dc7850a4-dc30-4aa7-8719-4f810760c320",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Call log NSE for relevant timeperiod\n",
-    "\n",
-    "def lnse_ensemble(ensemble_data, lnse_start, lnse_end):\n",
-    "\n",
-    "    # Select evaluation period - skip first year for storages to fill\n",
-    "    combined_data = ensemble_data[\n",
-    "        (ensemble_data.index >= lnse_start) &\n",
-    "        (ensemble_data.index <= lnse_end)\n",
-    "    ].dropna()\n",
-    "\n",
-    "    # Exclude winter months\n",
-    "    combined_data = combined_data[\n",
-    "        ~combined_data.index.month.isin([12, 1, 2, 3, 4])\n",
-    "    ]\n",
-    "\n",
-    "    lnse_results = []\n",
-    "\n",
-    "    # Calculate LNSE for all sets\n",
-    "    for i in range(len(par_ensemble)):\n",
-    "        lnse_value = LNSE(\n",
-    "            combined_data[f\"Set {i+1}\"],\n",
-    "            combined_data[\"Observed discharge\"]\n",
-    "        )\n",
-    "\n",
-    "        # Append LNSE\n",
-    "        lnse_results.append({\n",
-    "            \"Set\": f\"Set {i+1}\",\n",
-    "            \"LNSE\": lnse_value\n",
-    "        })\n",
-    "\n",
-    "    # Calculate LNSE of ensemble mean\n",
-    "    mean_lnse = LNSE(\n",
-    "        combined_data[\"Mean\"],\n",
-    "        combined_data[\"Observed discharge\"]\n",
-    "    )\n",
-    "\n",
-    "    # Append LNSE\n",
-    "    lnse_results.append({\n",
-    "        \"Set\": \"Ensemble mean\",\n",
-    "        \"LNSE\": mean_lnse\n",
-    "    })\n",
-    "\n",
-    "    lnse_results = pd.DataFrame(lnse_results)\n",
-    "\n",
-    "    return lnse_results"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 208,
-   "id": "80962ebd-6ad7-48ce-b378-acd68ed03a1e",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Set</th>\n",
-       "      <th>LNSE</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Set 1</td>\n",
-       "      <td>0.644561</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>Set 2</td>\n",
-       "      <td>0.716547</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>Set 3</td>\n",
-       "      <td>0.708634</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>Set 4</td>\n",
-       "      <td>0.661621</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>Set 5</td>\n",
-       "      <td>0.677477</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>Ensemble mean</td>\n",
-       "      <td>0.739374</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "             Set      LNSE\n",
-       "0          Set 1  0.644561\n",
-       "1          Set 2  0.716547\n",
-       "2          Set 3  0.708634\n",
-       "3          Set 4  0.661621\n",
-       "4          Set 5  0.677477\n",
-       "5  Ensemble mean  0.739374"
-      ]
-     },
-     "execution_count": 208,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "lnse_results = lnse_ensemble(\n",
-    "    ensemble_data=ensemble_data,\n",
-    "    lnse_start=evaluation_start,\n",
-    "    lnse_end=validation_end_date\n",
-    ")\n",
-    "\n",
-    "lnse_results"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "d9b6a719-39c6-4872-87ff-cdb65d853e42",
-   "metadata": {},
-   "source": [
-    "## 5. Display results"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 209,
-   "id": "f519854a-a994-44fd-a428-4d0c6daa98e1",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def plot_ensemble(ensemble_data, plot_start, plot_end):\n",
-    "\n",
-    "    plot_start = pd.to_datetime(plot_start)\n",
-    "    plot_end = pd.to_datetime(plot_end)\n",
-    "\n",
-    "    # Filter data to start & end time\n",
-    "    plot_data = ensemble_data[\n",
-    "        (ensemble_data.index >= plot_start) &\n",
-    "        (ensemble_data.index <= plot_end)\n",
-    "    ].dropna()\n",
-    "\n",
-    "    # Define figure\n",
-    "    plt.figure()\n",
-    "    plt.figure(figsize=(20, 8))\n",
-    "\n",
-    "    # Plot sets, observed data, ensemble mean and axhline, respectively\n",
-    "    for i in range(len(par_ensemble)):\n",
-    "        plt.plot(plot_data.index, plot_data[f\"Set {i+1}\"], color=\"orange\", alpha=0.3, label=\"Parameter sets\" if i == 0 else None)\n",
-    "\n",
-    "    plt.plot(plot_data.index, plot_data[\"Observed discharge\"], label=\"Observed discharge\", linewidth=3)\n",
-    "    plt.plot(plot_data.index, plot_data[\"Mean\"], label=\"Ensemble mean\", linewidth=3)\n",
-    "    plt.axhline(y=q_critical, linestyle=\":\", color=\"black\", label=f\"Critical discharge ({q_critical} m³/s)\")\n",
-    "\n",
-    "    # Extras\n",
-    "    plt.xlabel(\"Date\")\n",
-    "    plt.ylabel(\"Discharge (m³/s)\")\n",
-    "    plt.title(\"Observed vs modelled ensemble discharge at 07DA001\")\n",
-    "    plt.legend()\n",
-    "    plt.grid(True)\n",
-    "\n",
-    "    plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 210,
-   "id": "f1bb58f8-3dee-43eb-abc8-4af333b5d064",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<Figure size 640x480 with 0 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "<Figure size 2000x800 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Plot for full evaluation period\n",
-    "\n",
-    "plot_ensemble(\n",
-    "    ensemble_data=ensemble_data,\n",
-    "    plot_start=evaluation_start,\n",
-    "    plot_end=validation_end_date\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 216,
-   "id": "b835010a-b272-46b7-9c20-b0db1a99506b",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<Figure size 640x480 with 0 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "<Figure size 2000x800 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Plot for selected year\n",
-    "\n",
-    "selected_year = 2012\n",
-    "\n",
-    "plot_ensemble(\n",
-    "    ensemble_data=ensemble_data,\n",
-    "    plot_start=pd.to_datetime(f\"{selected_year}-01-01\"),\n",
-    "    plot_end=pd.to_datetime(f\"{selected_year}-12-31\")\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "d017577d-79da-4a97-9522-81f4c307f3aa",
-   "metadata": {},
-   "source": [
-    "## 6. Lowflow calculation"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 221,
-   "id": "dcc14e37-5aea-4b00-ae71-32b68ee03d4a",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def lowflow_counter_ensemble(ensemble_data, start_date, end_date):\n",
-    "    \n",
-    "    lowflow_days = []\n",
-    "\n",
-    "    years = list(range(start_date.year, end_date.year + 1))\n",
-    "\n",
-    "    for i in range(len(years)):\n",
-    "    \n",
-    "        year = years[i]\n",
-    "    \n",
-    "        # Define start and end month-day\n",
-    "        year_start = pd.to_datetime(f\"{year}-05-18\")\n",
-    "        year_end = pd.to_datetime(f\"{year}-10-17\")\n",
-    "    \n",
-    "        year_data = ensemble_data[\n",
-    "            (ensemble_data.index >= year_start) &\n",
-    "            (ensemble_data.index <= year_end)\n",
-    "        ]\n",
-    "\n",
-    "        # Set zeros to count from\n",
-    "        observed_lowflow_days = 0\n",
-    "        modelled_lowflow_days = []\n",
-    "        modelmean_lowflow_days = 0\n",
-    "\n",
-    "        # Count observed lowflow days\n",
-    "        for j in range(len(year_data)):\n",
-    "\n",
-    "            observed_q = year_data.iloc[j][\"Observed discharge\"]\n",
-    "\n",
-    "            if observed_q < q_critical:\n",
-    "                observed_lowflow_days += 1\n",
-    "\n",
-    "        # Count model mean lowflow days\n",
-    "        for j in range(len(year_data)):\n",
-    "\n",
-    "            modelmean_q = year_data.iloc[j][\"Mean\"]\n",
-    "\n",
-    "            if modelmean_q < q_critical:\n",
-    "                modelmean_lowflow_days += 1\n",
-    "\n",
-    "        # Count modelled lowflow days\n",
-    "        for j in range(len(par_ensemble)):\n",
-    "\n",
-    "            set_lowflow_days = 0\n",
-    "\n",
-    "            for k in range(len(year_data)):\n",
-    "\n",
-    "                set_q = year_data.iloc[k][f\"Set {j+1}\"]\n",
-    "\n",
-    "                if set_q < q_critical:\n",
-    "                    set_lowflow_days += 1\n",
-    "\n",
-    "            modelled_lowflow_days.append(set_lowflow_days)\n",
-    "\n",
-    "        setavg_lowflow_days = np.mean(modelled_lowflow_days)\n",
-    "        \n",
-    "        lowflow_days.append({\n",
-    "            \"year\": year,\n",
-    "            \"observed\": observed_lowflow_days,\n",
-    "            \"modelmean\": modelmean_lowflow_days,\n",
-    "            \"set_1\": modelled_lowflow_days[0],\n",
-    "            \"set_2\": modelled_lowflow_days[1],\n",
-    "            \"set_3\": modelled_lowflow_days[2],\n",
-    "            \"set_4\": modelled_lowflow_days[3],\n",
-    "            \"set_5\": modelled_lowflow_days[4],\n",
-    "            \"set_avg\": np.round(setavg_lowflow_days)\n",
-    "        })\n",
-    "\n",
-    "    lowflow_days = pd.DataFrame(lowflow_days)\n",
-    "\n",
-    "    return lowflow_days"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 222,
-   "id": "7460b853-5619-44c9-ac89-3c6fc099bde6",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>year</th>\n",
-       "      <th>observed</th>\n",
-       "      <th>modelmean</th>\n",
-       "      <th>set_1</th>\n",
-       "      <th>set_2</th>\n",
-       "      <th>set_3</th>\n",
-       "      <th>set_4</th>\n",
-       "      <th>set_5</th>\n",
-       "      <th>set_avg</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>2000</td>\n",
-       "      <td>20</td>\n",
-       "      <td>2</td>\n",
-       "      <td>9</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>2001</td>\n",
-       "      <td>60</td>\n",
-       "      <td>59</td>\n",
-       "      <td>64</td>\n",
-       "      <td>64</td>\n",
-       "      <td>59</td>\n",
-       "      <td>59</td>\n",
-       "      <td>56</td>\n",
-       "      <td>60.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2002</td>\n",
-       "      <td>52</td>\n",
-       "      <td>27</td>\n",
-       "      <td>56</td>\n",
-       "      <td>38</td>\n",
-       "      <td>30</td>\n",
-       "      <td>27</td>\n",
-       "      <td>36</td>\n",
-       "      <td>37.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>2003</td>\n",
-       "      <td>51</td>\n",
-       "      <td>40</td>\n",
-       "      <td>59</td>\n",
-       "      <td>36</td>\n",
-       "      <td>46</td>\n",
-       "      <td>45</td>\n",
-       "      <td>19</td>\n",
-       "      <td>41.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>2004</td>\n",
-       "      <td>5</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>2005</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>6</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>2006</td>\n",
-       "      <td>42</td>\n",
-       "      <td>21</td>\n",
-       "      <td>43</td>\n",
-       "      <td>18</td>\n",
-       "      <td>29</td>\n",
-       "      <td>22</td>\n",
-       "      <td>0</td>\n",
-       "      <td>22.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>2007</td>\n",
-       "      <td>25</td>\n",
-       "      <td>5</td>\n",
-       "      <td>12</td>\n",
-       "      <td>3</td>\n",
-       "      <td>7</td>\n",
-       "      <td>4</td>\n",
-       "      <td>0</td>\n",
-       "      <td>5.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>2008</td>\n",
-       "      <td>37</td>\n",
-       "      <td>19</td>\n",
-       "      <td>31</td>\n",
-       "      <td>16</td>\n",
-       "      <td>22</td>\n",
-       "      <td>19</td>\n",
-       "      <td>5</td>\n",
-       "      <td>19.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>2009</td>\n",
-       "      <td>42</td>\n",
-       "      <td>54</td>\n",
-       "      <td>64</td>\n",
-       "      <td>50</td>\n",
-       "      <td>53</td>\n",
-       "      <td>57</td>\n",
-       "      <td>45</td>\n",
-       "      <td>54.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>10</th>\n",
-       "      <td>2010</td>\n",
-       "      <td>6</td>\n",
-       "      <td>6</td>\n",
-       "      <td>26</td>\n",
-       "      <td>6</td>\n",
-       "      <td>8</td>\n",
-       "      <td>3</td>\n",
-       "      <td>6</td>\n",
-       "      <td>10.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>11</th>\n",
-       "      <td>2011</td>\n",
-       "      <td>36</td>\n",
-       "      <td>35</td>\n",
-       "      <td>46</td>\n",
-       "      <td>27</td>\n",
-       "      <td>34</td>\n",
-       "      <td>38</td>\n",
-       "      <td>25</td>\n",
-       "      <td>34.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>12</th>\n",
-       "      <td>2012</td>\n",
-       "      <td>13</td>\n",
-       "      <td>18</td>\n",
-       "      <td>25</td>\n",
-       "      <td>15</td>\n",
-       "      <td>18</td>\n",
-       "      <td>19</td>\n",
-       "      <td>9</td>\n",
-       "      <td>17.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>13</th>\n",
-       "      <td>2013</td>\n",
-       "      <td>21</td>\n",
-       "      <td>32</td>\n",
-       "      <td>39</td>\n",
-       "      <td>28</td>\n",
-       "      <td>31</td>\n",
-       "      <td>34</td>\n",
-       "      <td>27</td>\n",
-       "      <td>32.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>14</th>\n",
-       "      <td>2014</td>\n",
-       "      <td>43</td>\n",
-       "      <td>59</td>\n",
-       "      <td>65</td>\n",
-       "      <td>54</td>\n",
-       "      <td>57</td>\n",
-       "      <td>61</td>\n",
-       "      <td>51</td>\n",
-       "      <td>58.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>15</th>\n",
-       "      <td>2015</td>\n",
-       "      <td>60</td>\n",
-       "      <td>105</td>\n",
-       "      <td>109</td>\n",
-       "      <td>126</td>\n",
-       "      <td>125</td>\n",
-       "      <td>104</td>\n",
-       "      <td>66</td>\n",
-       "      <td>106.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>16</th>\n",
-       "      <td>2016</td>\n",
-       "      <td>7</td>\n",
-       "      <td>3</td>\n",
-       "      <td>0</td>\n",
-       "      <td>5</td>\n",
-       "      <td>5</td>\n",
-       "      <td>5</td>\n",
-       "      <td>5</td>\n",
-       "      <td>4.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>17</th>\n",
-       "      <td>2017</td>\n",
-       "      <td>15</td>\n",
-       "      <td>15</td>\n",
-       "      <td>22</td>\n",
-       "      <td>10</td>\n",
-       "      <td>16</td>\n",
-       "      <td>19</td>\n",
-       "      <td>0</td>\n",
-       "      <td>13.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>18</th>\n",
-       "      <td>2018</td>\n",
-       "      <td>0</td>\n",
-       "      <td>4</td>\n",
-       "      <td>9</td>\n",
-       "      <td>1</td>\n",
-       "      <td>6</td>\n",
-       "      <td>3</td>\n",
-       "      <td>0</td>\n",
-       "      <td>4.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>19</th>\n",
-       "      <td>2019</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "    year  observed  modelmean  set_1  set_2  set_3  set_4  set_5  set_avg\n",
-       "0   2000        20          2      9      0      1      1      0      2.0\n",
-       "1   2001        60         59     64     64     59     59     56     60.0\n",
-       "2   2002        52         27     56     38     30     27     36     37.0\n",
-       "3   2003        51         40     59     36     46     45     19     41.0\n",
-       "4   2004         5          0      1      0      0      0      0      0.0\n",
-       "5   2005         0          0      6      0      0      0      0      1.0\n",
-       "6   2006        42         21     43     18     29     22      0     22.0\n",
-       "7   2007        25          5     12      3      7      4      0      5.0\n",
-       "8   2008        37         19     31     16     22     19      5     19.0\n",
-       "9   2009        42         54     64     50     53     57     45     54.0\n",
-       "10  2010         6          6     26      6      8      3      6     10.0\n",
-       "11  2011        36         35     46     27     34     38     25     34.0\n",
-       "12  2012        13         18     25     15     18     19      9     17.0\n",
-       "13  2013        21         32     39     28     31     34     27     32.0\n",
-       "14  2014        43         59     65     54     57     61     51     58.0\n",
-       "15  2015        60        105    109    126    125    104     66    106.0\n",
-       "16  2016         7          3      0      5      5      5      5      4.0\n",
-       "17  2017        15         15     22     10     16     19      0     13.0\n",
-       "18  2018         0          4      9      1      6      3      0      4.0\n",
-       "19  2019         0          0      0      0      0      0      0      0.0"
-      ]
-     },
-     "execution_count": 222,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "lowflow_counter_ensemble(\n",
-    "    ensemble_data=ensemble_data,\n",
-    "    start_date=evaluation_start,\n",
-    "    end_date=validation_end_date\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 223,
-   "id": "02d8a545-838c-4da5-9935-22f34d49f4ee",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "4dd215db-3fbe-44fa-9c07-26f13e64d255",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "7a08ca3c-9f66-4797-b4eb-7943785f512d",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "efc2756c-f047-4ae1-a491-583e46612a75",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.12.7"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Draft notebooks/Step2_Trial_model_LAR.ipynb b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Draft notebooks/Step2_Trial_model_LAR.ipynb
index 9071a3ff..67dd806a 100644
--- a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Draft notebooks/Step2_Trial_model_LAR.ipynb	
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Draft notebooks/Step2_Trial_model_LAR.ipynb	
@@ -10,7 +10,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 77,
+   "execution_count": 8,
    "id": "d197b8f0-0f85-4a41-b2fb-1b2a8cf3f9f5",
    "metadata": {},
    "outputs": [],
@@ -31,7 +31,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 78,
+   "execution_count": 42,
    "id": "dd7b7d3f-1489-4723-bb51-f3cffcb7a85c",
    "metadata": {},
    "outputs": [],
@@ -44,7 +44,60 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 79,
+   "execution_count": 60,
+   "id": "6c47c679-3f14-431b-8c59-908c581e2f1d",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">{</span>\n",
+       "    <span style=\"color: #008000; text-decoration-color: #008000\">'OBS6'</span>: <span style=\"font-weight: bold\">[</span><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/data/shared/climate-data/obs6'</span><span style=\"font-weight: bold\">)]</span>,\n",
+       "    <span style=\"color: #008000; text-decoration-color: #008000\">'default'</span>: <span style=\"font-weight: bold\">[</span><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/data/shared/climate-data'</span><span style=\"font-weight: bold\">)]</span>,\n",
+       "    <span style=\"color: #008000; text-decoration-color: #008000\">'CMIP6'</span>: <span style=\"font-weight: bold\">[</span><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/.esmvaltool/downloads/CMIP6'</span><span style=\"font-weight: bold\">)]</span>\n",
+       "<span style=\"font-weight: bold\">}</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1m{\u001b[0m\n",
+       "    \u001b[32m'OBS6'\u001b[0m: \u001b[1m[\u001b[0m\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/data/shared/climate-data/obs6'\u001b[0m\u001b[1m)\u001b[0m\u001b[1m]\u001b[0m,\n",
+       "    \u001b[32m'default'\u001b[0m: \u001b[1m[\u001b[0m\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/data/shared/climate-data'\u001b[0m\u001b[1m)\u001b[0m\u001b[1m]\u001b[0m,\n",
+       "    \u001b[32m'CMIP6'\u001b[0m: \u001b[1m[\u001b[0m\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/.esmvaltool/downloads/CMIP6'\u001b[0m\u001b[1m)\u001b[0m\u001b[1m]\u001b[0m\n",
+       "\u001b[1m}\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'CMIP3'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'ESGF'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'CMIP5'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'ESGF'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'CMIP6'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'ESGF'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'CORDEX'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'ESGF'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'obs4MIPs'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'ESGF'</span><span style=\"font-weight: bold\">}</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1m{\u001b[0m\u001b[32m'CMIP3'\u001b[0m: \u001b[32m'ESGF'\u001b[0m, \u001b[32m'CMIP5'\u001b[0m: \u001b[32m'ESGF'\u001b[0m, \u001b[32m'CMIP6'\u001b[0m: \u001b[32m'ESGF'\u001b[0m, \u001b[32m'CORDEX'\u001b[0m: \u001b[32m'ESGF'\u001b[0m, \u001b[32m'obs4MIPs'\u001b[0m: \u001b[32m'ESGF'\u001b[0m\u001b[1m}\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from esmvalcore.config import CFG   # older: from esmvalcore.experimental import CFG\n",
+    "from pathlib import Path\n",
+    "home = Path.home()\n",
+    "OBS6 = Path('/data/shared/climate-data/obs6')\n",
+    "default = Path('/data/shared/climate-data')\n",
+    "CMIP_path = Path(f'{str(home)}/.esmvaltool/downloads/CMIP6')\n",
+    "CFG['rootpath'] = {'OBS6': [OBS6], 'default': [default], 'CMIP6': [CMIP_path]}\n",
+    "print(CFG['rootpath'])\n",
+    "print(CFG['drs'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
    "id": "1c8aee93-b2d6-4291-89ae-1d29e69268cd",
    "metadata": {},
    "outputs": [],
@@ -56,58 +109,58 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 80,
+   "execution_count": 61,
    "id": "d7dce039-d1f3-44a0-b646-98c32ecffb28",
    "metadata": {},
    "outputs": [],
    "source": [
     "# Choosing time period\n",
     "\n",
-    "experiment_start_date = \"1999-01-01T00:00:00Z\"\n",
-    "experiment_end_date = \"2019-12-31T00:00:00Z\""
+    "experiment_start_date = \"2019-01-01T00:00:00Z\"\n",
+    "experiment_end_date = \"2024-12-31T00:00:00Z\""
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 81,
+   "execution_count": 62,
    "id": "d330bf37-7419-4287-81af-3d09e4c7a30e",
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Create pathways for ERA 5 forcings\n",
+    "# # Create pathways for ERA 5 forcings\n",
     "\n",
-    "forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"ERA5-1999-2019\"\n",
+    "# forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"ERA5-1999-2019\"\n",
     "\n",
-    "discharge_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
+    "# discharge_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
     "\n",
-    "shape_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "# shape_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
     "\n",
-    "hbv_config = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"hbv_config\"\n",
-    "hbv_config.mkdir(parents=True, exist_ok=True)"
+    "# hbv_config = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"hbv_config\"\n",
+    "# hbv_config.mkdir(parents=True, exist_ok=True)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 82,
+   "execution_count": 63,
    "id": "12cc30f9-29ad-4b43-b3dd-9cd5612ff4e2",
    "metadata": {},
    "outputs": [],
    "source": [
-    "# # Create pathways for ERA 5 forcings\n",
+    "# Create pathways for ERA 5 forcings\n",
     "\n",
-    "# forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"forcings\" / \"ERA5-2019-2024\"\n",
+    "forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"forcings\" / \"ERA5-2019-2024\"\n",
     "\n",
-    "# discharge_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
+    "discharge_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
     "\n",
-    "# shape_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "shape_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
     "\n",
-    "# hbv_config = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"hbv_config\"\n",
-    "# hbv_config.mkdir(parents=True, exist_ok=True)"
+    "hbv_config = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"hbv_config\"\n",
+    "hbv_config.mkdir(parents=True, exist_ok=True)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 83,
+   "execution_count": 64,
    "id": "46ea8b1e-fb73-49ed-855c-4d95cd932748",
    "metadata": {},
    "outputs": [],
@@ -122,7 +175,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 84,
+   "execution_count": 65,
    "id": "8bb224ad-d23c-475f-b6af-4a6023a17044",
    "metadata": {},
    "outputs": [
@@ -153,29 +206,29 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>14888</th>\n",
-       "      <td>1999-01-01</td>\n",
-       "      <td>104.0</td>\n",
+       "      <th>22193</th>\n",
+       "      <td>2019-01-01</td>\n",
+       "      <td>213.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>14889</th>\n",
-       "      <td>1999-01-02</td>\n",
-       "      <td>103.0</td>\n",
+       "      <th>22194</th>\n",
+       "      <td>2019-01-02</td>\n",
+       "      <td>213.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>14890</th>\n",
-       "      <td>1999-01-03</td>\n",
-       "      <td>101.0</td>\n",
+       "      <th>22195</th>\n",
+       "      <td>2019-01-03</td>\n",
+       "      <td>213.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>14891</th>\n",
-       "      <td>1999-01-04</td>\n",
-       "      <td>103.0</td>\n",
+       "      <th>22196</th>\n",
+       "      <td>2019-01-04</td>\n",
+       "      <td>214.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>14892</th>\n",
-       "      <td>1999-01-05</td>\n",
-       "      <td>105.0</td>\n",
+       "      <th>22197</th>\n",
+       "      <td>2019-01-05</td>\n",
+       "      <td>214.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -183,14 +236,14 @@
       ],
       "text/plain": [
        "            Date  discharge_m3s\n",
-       "14888 1999-01-01          104.0\n",
-       "14889 1999-01-02          103.0\n",
-       "14890 1999-01-03          101.0\n",
-       "14891 1999-01-04          103.0\n",
-       "14892 1999-01-05          105.0"
+       "22193 2019-01-01          213.0\n",
+       "22194 2019-01-02          213.0\n",
+       "22195 2019-01-03          213.0\n",
+       "22196 2019-01-04          214.0\n",
+       "22197 2019-01-05          214.0"
       ]
      },
-     "execution_count": 84,
+     "execution_count": 65,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -211,13 +264,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 85,
+   "execution_count": 66,
    "id": "7f6f57aa-9f39-4524-ba3a-34f55035ebab",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 1200x500 with 1 Axes>"
       ]
@@ -241,7 +294,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 86,
+   "execution_count": 67,
    "id": "77e79b20-3e4d-405a-bd88-16bdc50bdb39",
    "metadata": {},
    "outputs": [
@@ -249,30 +302,32 @@
      "data": {
       "text/html": [
        "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">LumpedMakkinkForcing</span><span style=\"font-weight: bold\">(</span>\n",
-       "    <span style=\"color: #808000; text-decoration-color: #808000\">start_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'1999-01-01T00:00:00Z'</span>,\n",
-       "    <span style=\"color: #808000; text-decoration-color: #808000\">end_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'2019-12-31T00:00:00Z'</span>,\n",
-       "    <span style=\"color: #808000; text-decoration-color: #808000\">directory</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1999-2019'</span><span style=\"font-weight: bold\">)</span>,\n",
-       "    <span style=\"color: #808000; text-decoration-color: #808000\">shape</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">start_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'2019-01-01T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">end_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'2024-12-31T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">directory</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/esmvaltool_output/ewcrep8rzr6k8h_20260611_140830/work/diagnostic/script'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">shape</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Shapefile</span>\n",
+       "<span style=\"color: #008000; text-decoration-color: #008000\">s/07DA001_basin.shp'</span><span style=\"font-weight: bold\">)</span>,\n",
        "    <span style=\"color: #808000; text-decoration-color: #808000\">filenames</span>=<span style=\"font-weight: bold\">{</span>\n",
-       "        <span style=\"color: #008000; text-decoration-color: #008000\">'evspsblpot'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1999_2019_evspsblpot.nc'</span>,\n",
-       "        <span style=\"color: #008000; text-decoration-color: #008000\">'pr'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1999_2019_pr.nc'</span>,\n",
-       "        <span style=\"color: #008000; text-decoration-color: #008000\">'rsds'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1999_2019_rsds.nc'</span>,\n",
-       "        <span style=\"color: #008000; text-decoration-color: #008000\">'tas'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1999_2019_tas.nc'</span>\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'pr'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'OBS6_ERA5_reanaly_1_day_pr_2019-2024.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'tas'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'OBS6_ERA5_reanaly_1_day_tas_2019-2024.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'rsds'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'OBS6_ERA5_reanaly_1_day_rsds_2019-2024.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'evspsblpot'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'Derived_Makkink_evspsblpot.nc'</span>\n",
        "    <span style=\"font-weight: bold\">}</span>\n",
        "<span style=\"font-weight: bold\">)</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
        "\u001b[1;35mLumpedMakkinkForcing\u001b[0m\u001b[1m(\u001b[0m\n",
-       "    \u001b[33mstart_time\u001b[0m=\u001b[32m'1999-01-01T00:00:00Z'\u001b[0m,\n",
-       "    \u001b[33mend_time\u001b[0m=\u001b[32m'2019-12-31T00:00:00Z'\u001b[0m,\n",
-       "    \u001b[33mdirectory\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1999-2019'\u001b[0m\u001b[1m)\u001b[0m,\n",
-       "    \u001b[33mshape\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mstart_time\u001b[0m=\u001b[32m'2019-01-01T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mend_time\u001b[0m=\u001b[32m'2024-12-31T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mdirectory\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/esmvaltool_output/ewcrep8rzr6k8h_20260611_140830/work/diagnostic/script'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mshape\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Shapefile\u001b[0m\n",
+       "\u001b[32ms/07DA001_basin.shp'\u001b[0m\u001b[1m)\u001b[0m,\n",
        "    \u001b[33mfilenames\u001b[0m=\u001b[1m{\u001b[0m\n",
-       "        \u001b[32m'evspsblpot'\u001b[0m: \u001b[32m'combined_ERA5_1999_2019_evspsblpot.nc'\u001b[0m,\n",
-       "        \u001b[32m'pr'\u001b[0m: \u001b[32m'combined_ERA5_1999_2019_pr.nc'\u001b[0m,\n",
-       "        \u001b[32m'rsds'\u001b[0m: \u001b[32m'combined_ERA5_1999_2019_rsds.nc'\u001b[0m,\n",
-       "        \u001b[32m'tas'\u001b[0m: \u001b[32m'combined_ERA5_1999_2019_tas.nc'\u001b[0m\n",
+       "        \u001b[32m'pr'\u001b[0m: \u001b[32m'OBS6_ERA5_reanaly_1_day_pr_2019-2024.nc'\u001b[0m,\n",
+       "        \u001b[32m'tas'\u001b[0m: \u001b[32m'OBS6_ERA5_reanaly_1_day_tas_2019-2024.nc'\u001b[0m,\n",
+       "        \u001b[32m'rsds'\u001b[0m: \u001b[32m'OBS6_ERA5_reanaly_1_day_rsds_2019-2024.nc'\u001b[0m,\n",
+       "        \u001b[32m'evspsblpot'\u001b[0m: \u001b[32m'Derived_Makkink_evspsblpot.nc'\u001b[0m\n",
        "    \u001b[1m}\u001b[0m\n",
        "\u001b[1m)\u001b[0m\n"
       ]
@@ -283,23 +338,22 @@
    ],
    "source": [
     "# Generate ERA5 data\n",
-    "# ERA5_forcing = ewatercycle.forcing.sources['LumpedMakkinkForcing'].generate(\n",
-    "#     dataset=\"ERA5\",\n",
-    "#     start_time=experiment_start_date,\n",
-    "#     end_time=experiment_end_date,\n",
-    "#     shape=shape_file,\n",
-    "# )\n",
+    "ERA5_forcing = ewatercycle.forcing.sources['LumpedMakkinkForcing'].generate(\n",
+    "    dataset=\"ERA5\",\n",
+    "    start_time=experiment_start_date,\n",
+    "    end_time=experiment_end_date,\n",
+    "    shape=shape_file)\n",
     "\n",
     "# Load data\n",
     "\n",
-    "ERA5_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=forcing_path_ERA5)\n",
+    "# ERA5_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=forcing_path_ERA5)\n",
     "\n",
     "print(ERA5_forcing)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 87,
+   "execution_count": 59,
    "id": "ca2be146-1112-4806-a44f-d57ebd4442c9",
    "metadata": {},
    "outputs": [
diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step1_ERA5_Forcings_Generation.ipynb b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step1_ERA5_Forcings_Generation.ipynb
index 0ef13ffa..5b74f681 100644
--- a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step1_ERA5_Forcings_Generation.ipynb
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step1_ERA5_Forcings_Generation.ipynb
@@ -20,7 +20,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 1,
    "id": "7ef3318e-968e-418e-bf4c-a8936aade9a5",
    "metadata": {},
    "outputs": [],
@@ -43,7 +43,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 2,
    "id": "f7ff029b-ee4b-4fe2-b5d5-bf768b626989",
    "metadata": {},
    "outputs": [],
@@ -54,6 +54,60 @@
     "import ewatercycle.forcing"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "cc4de849-39a5-40e6-9f4a-865da369e8b2",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">{</span>\n",
+       "    <span style=\"color: #008000; text-decoration-color: #008000\">'OBS6'</span>: <span style=\"font-weight: bold\">[</span><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/data/shared/climate-data/obs6'</span><span style=\"font-weight: bold\">)]</span>,\n",
+       "    <span style=\"color: #008000; text-decoration-color: #008000\">'default'</span>: <span style=\"font-weight: bold\">[</span><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/data/shared/climate-data'</span><span style=\"font-weight: bold\">)]</span>,\n",
+       "    <span style=\"color: #008000; text-decoration-color: #008000\">'CMIP6'</span>: <span style=\"font-weight: bold\">[</span><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/.esmvaltool/downloads/CMIP6'</span><span style=\"font-weight: bold\">)]</span>\n",
+       "<span style=\"font-weight: bold\">}</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1m{\u001b[0m\n",
+       "    \u001b[32m'OBS6'\u001b[0m: \u001b[1m[\u001b[0m\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/data/shared/climate-data/obs6'\u001b[0m\u001b[1m)\u001b[0m\u001b[1m]\u001b[0m,\n",
+       "    \u001b[32m'default'\u001b[0m: \u001b[1m[\u001b[0m\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/data/shared/climate-data'\u001b[0m\u001b[1m)\u001b[0m\u001b[1m]\u001b[0m,\n",
+       "    \u001b[32m'CMIP6'\u001b[0m: \u001b[1m[\u001b[0m\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/.esmvaltool/downloads/CMIP6'\u001b[0m\u001b[1m)\u001b[0m\u001b[1m]\u001b[0m\n",
+       "\u001b[1m}\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'CMIP3'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'ESGF'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'CMIP5'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'ESGF'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'CMIP6'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'ESGF'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'CORDEX'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'ESGF'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'obs4MIPs'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'ESGF'</span><span style=\"font-weight: bold\">}</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1m{\u001b[0m\u001b[32m'CMIP3'\u001b[0m: \u001b[32m'ESGF'\u001b[0m, \u001b[32m'CMIP5'\u001b[0m: \u001b[32m'ESGF'\u001b[0m, \u001b[32m'CMIP6'\u001b[0m: \u001b[32m'ESGF'\u001b[0m, \u001b[32m'CORDEX'\u001b[0m: \u001b[32m'ESGF'\u001b[0m, \u001b[32m'obs4MIPs'\u001b[0m: \u001b[32m'ESGF'\u001b[0m\u001b[1m}\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Fix ERA5 config error\n",
+    "from esmvalcore.config import CFG   # older: from esmvalcore.experimental import CFG\n",
+    "from pathlib import Path\n",
+    "home = Path.home()\n",
+    "OBS6 = Path('/data/shared/climate-data/obs6')\n",
+    "default = Path('/data/shared/climate-data')\n",
+    "CMIP_path = Path(f'{str(home)}/.esmvaltool/downloads/CMIP6')\n",
+    "CFG['rootpath'] = {'OBS6': [OBS6], 'default': [default], 'CMIP6': [CMIP_path]}\n",
+    "print(CFG['rootpath'])\n",
+    "print(CFG['drs'])"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "74c8c15e-8cab-4e1a-b6eb-c9c165d8c051",
@@ -64,18 +118,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 4,
    "id": "b2343410-2713-4089-ae42-dad37b457c41",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">ERA5-1970-1974</span>\n",
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">ERA5-2019-2021</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
-       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/\u001b[0m\u001b[95mERA5-1970-1974\u001b[0m\n"
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/\u001b[0m\u001b[95mERA5-2019-2021\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -84,11 +138,11 @@
     {
      "data": {
       "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1975</span>\n",
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2019</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
-       "\u001b[1;36m1975\u001b[0m\n"
+       "\u001b[1;36m2019\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -97,11 +151,11 @@
     {
      "data": {
       "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1999</span>\n",
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2024</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
-       "\u001b[1;36m1999\u001b[0m\n"
+       "\u001b[1;36m2024\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -112,44 +166,37 @@
     "# Defining period range\n",
     "# periods = [\n",
     "#     [1970, 1975, 1980, 1985, 1990, 1995, 2000, 2005, 2010, 2015, 2020],\n",
-    "#     [1974, 1979, 1984, 1989, 1994, 1999, 2004, 2009, 2014, 2019, 2024]\n",
-    "# ]\n",
+    "#     [1974, 1979, 1984, 1989, 1994, 1999, 2004, 2009, 2014, 2019, 2024]]\n",
     "\n",
     "# For calibration 1:\n",
     "# periods = [\n",
     "#     [1990, 1995, 2000, 2005, 2010],\n",
-    "#     [1994, 1999, 2004, 2009, 2017]\n",
-    "# ]\n",
+    "#     [1994, 1999, 2004, 2009, 2017]]\n",
     "\n",
     "# For calibration 2:\n",
     "# periods = [\n",
     "#     [1999, 2005, 2010, 2018],\n",
-    "#     [2004, 2009, 2017, 2019]\n",
-    "# ]\n",
+    "#     [2004, 2009, 2017, 2019]]\n",
     "\n",
     "# For validation 1:\n",
     "# periods = [\n",
     "#     [2018, 2022],\n",
-    "#     [2021, 2024]\n",
-    "# ]\n",
+    "#     [2021, 2024]]\n",
     "\n",
     "# For validation 2:\n",
-    "# periods = [\n",
-    "#     [2019, 2022],\n",
-    "#     [2021, 2024]\n",
-    "# ]\n",
+    "periods = [\n",
+    "    [2019, 2022],\n",
+    "    [2021, 2024]]\n",
     "\n",
     "# For CMIP trial:\n",
     "# periods = [\n",
     "#     [1995, 2000, 2005, 2010],\n",
-    "#     [1999, 2004, 2009, 2014]\n",
-    "# ]\n",
+    "#     [1999, 2004, 2009, 2014]]\n",
     "\n",
     "# For CMIP trial 2\n",
-    "periods = [\n",
-    "    [1970, 1975, 1980, 1985, 1990, 1995],\n",
-    "    [1974, 1979, 1984, 1989, 1994, 1999]\n",
-    "]\n",
+    "# periods = [\n",
+    "#     [1970, 1975, 1980, 1985, 1990, 1995],\n",
+    "#     [1974, 1979, 1984, 1989, 1994, 1999]]\n",
     "\n",
     "folder_names = []\n",
     "forcing_paths = {}\n",
@@ -188,18 +235,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 5,
    "id": "cbc7b2b6-88ee-4e7f-b37c-39eaf878c075",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Skipping ERA5-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1970</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1974</span> because the folder is not empty.\n",
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Finished ERA5-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2019</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2021</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
-       "Skipping ERA5-\u001b[1;36m1970\u001b[0m-\u001b[1;36m1974\u001b[0m because the folder is not empty.\n"
+       "Finished ERA5-\u001b[1;36m2019\u001b[0m-\u001b[1;36m2021\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -208,63 +255,11 @@
     {
      "data": {
       "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Skipping ERA5-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1975</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1979</span> because the folder is not empty.\n",
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Finished ERA5-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2022</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2024</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
-       "Skipping ERA5-\u001b[1;36m1975\u001b[0m-\u001b[1;36m1979\u001b[0m because the folder is not empty.\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Skipping ERA5-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1980</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1984</span> because the folder is not empty.\n",
-       "</pre>\n"
-      ],
-      "text/plain": [
-       "Skipping ERA5-\u001b[1;36m1980\u001b[0m-\u001b[1;36m1984\u001b[0m because the folder is not empty.\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Skipping ERA5-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1985</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1989</span> because the folder is not empty.\n",
-       "</pre>\n"
-      ],
-      "text/plain": [
-       "Skipping ERA5-\u001b[1;36m1985\u001b[0m-\u001b[1;36m1989\u001b[0m because the folder is not empty.\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Skipping ERA5-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1990</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1994</span> because the folder is not empty.\n",
-       "</pre>\n"
-      ],
-      "text/plain": [
-       "Skipping ERA5-\u001b[1;36m1990\u001b[0m-\u001b[1;36m1994\u001b[0m because the folder is not empty.\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Skipping ERA5-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1995</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1999</span> because the folder is not empty.\n",
-       "</pre>\n"
-      ],
-      "text/plain": [
-       "Skipping ERA5-\u001b[1;36m1995\u001b[0m-\u001b[1;36m1999\u001b[0m because the folder is not empty.\n"
+       "Finished ERA5-\u001b[1;36m2022\u001b[0m-\u001b[1;36m2024\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -274,7 +269,7 @@
    "source": [
     "# Shapefile path\n",
     "# shape_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
-    "shape_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\n",
+    "shape_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
     "\n",
     "# Generate forcing data\n",
     "# for i in range(1):\n",
@@ -294,8 +289,7 @@
     "        start_time=start_time_ERA5,\n",
     "        end_time=end_time_ERA5,\n",
     "        shape=shape_file,\n",
-    "        directory=forcing_paths[folder_names[i]]\n",
-    "    )\n",
+    "        directory=forcing_paths[folder_names[i]])\n",
     "\n",
     "    # I need info because my patience is limited\n",
     "    print(f\"Finished {folder_names[i]}\")"
@@ -311,18 +305,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 6,
    "id": "f8e8ac64-fee5-4602-a1f1-90b8fb14c2b2",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">[</span><span style=\"color: #008000; text-decoration-color: #008000\">'ERA5-1970-1974'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'ERA5-1975-1979'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'ERA5-1980-1984'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'ERA5-1985-1989'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'ERA5-1990-1994'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'ERA5-1995-1999'</span><span style=\"font-weight: bold\">]</span>\n",
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">[</span><span style=\"color: #008000; text-decoration-color: #008000\">'ERA5-2019-2021'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'ERA5-2022-2024'</span><span style=\"font-weight: bold\">]</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
-       "\u001b[1m[\u001b[0m\u001b[32m'ERA5-1970-1974'\u001b[0m, \u001b[32m'ERA5-1975-1979'\u001b[0m, \u001b[32m'ERA5-1980-1984'\u001b[0m, \u001b[32m'ERA5-1985-1989'\u001b[0m, \u001b[32m'ERA5-1990-1994'\u001b[0m, \u001b[32m'ERA5-1995-1999'\u001b[0m\u001b[1m]\u001b[0m\n"
+       "\u001b[1m[\u001b[0m\u001b[32m'ERA5-2019-2021'\u001b[0m, \u001b[32m'ERA5-2022-2024'\u001b[0m\u001b[1m]\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -331,10 +325,10 @@
     {
      "data": {
       "text/plain": [
-       "LumpedMakkinkForcing(start_time='1970-01-01T00:00:00Z', end_time='1974-12-31T00:00:00Z', directory=PosixPath('/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1970-1974/work/diagnostic/script'), shape=PosixPath('/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1970-1974/work/diagnostic/script/07DA001_basin.shp'), filenames={'pr': 'OBS6_ERA5_reanaly_1_day_pr_1970-1974.nc', 'tas': 'OBS6_ERA5_reanaly_1_day_tas_1970-1974.nc', 'rsds': 'OBS6_ERA5_reanaly_1_day_rsds_1970-1974.nc', 'evspsblpot': 'Derived_Makkink_evspsblpot.nc'})"
+       "LumpedMakkinkForcing(start_time='2019-01-01T00:00:00Z', end_time='2021-12-31T00:00:00Z', directory=PosixPath('/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2019-2021/work/diagnostic/script'), shape=PosixPath('/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2019-2021/work/diagnostic/script/07DA001_basin.shp'), filenames={'pr': 'OBS6_ERA5_reanaly_1_day_pr_2019-2021.nc', 'tas': 'OBS6_ERA5_reanaly_1_day_tas_2019-2021.nc', 'rsds': 'OBS6_ERA5_reanaly_1_day_rsds_2019-2021.nc', 'evspsblpot': 'Derived_Makkink_evspsblpot.nc'})"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -364,7 +358,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 7,
    "id": "1cb12aa2-4b4c-4108-a5c9-2d8156cdecfe",
    "metadata": {},
    "outputs": [],
@@ -392,7 +386,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 8,
    "id": "b21fe2e4-478a-4e0b-9f1f-a40316e22018",
    "metadata": {},
    "outputs": [
@@ -400,99 +394,14 @@
      "data": {
       "text/html": [
        "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
-       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1970-1974/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_pr_1970-197</span>\n",
-       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">4.nc</span>\n",
-       "</pre>\n"
-      ],
-      "text/plain": [
-       "Loading \n",
-       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1970-1974/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_pr_1970-197\u001b[0m\n",
-       "\u001b[95m4.nc\u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
-       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1975-1979/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_pr_1975-197</span>\n",
-       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">9.nc</span>\n",
-       "</pre>\n"
-      ],
-      "text/plain": [
-       "Loading \n",
-       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1975-1979/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_pr_1975-197\u001b[0m\n",
-       "\u001b[95m9.nc\u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
-       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1980-1984/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_pr_1980-198</span>\n",
-       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">4.nc</span>\n",
-       "</pre>\n"
-      ],
-      "text/plain": [
-       "Loading \n",
-       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1980-1984/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_pr_1980-198\u001b[0m\n",
-       "\u001b[95m4.nc\u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
-       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1985-1989/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_pr_1985-198</span>\n",
-       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">9.nc</span>\n",
-       "</pre>\n"
-      ],
-      "text/plain": [
-       "Loading \n",
-       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1985-1989/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_pr_1985-198\u001b[0m\n",
-       "\u001b[95m9.nc\u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
-       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1990-1994/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_pr_1990-199</span>\n",
-       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">4.nc</span>\n",
-       "</pre>\n"
-      ],
-      "text/plain": [
-       "Loading \n",
-       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1990-1994/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_pr_1990-199\u001b[0m\n",
-       "\u001b[95m4.nc\u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
-       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1995-1999/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_pr_1995-199</span>\n",
-       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">9.nc</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2019-2021/w</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">ork/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_pr_2019-2021.nc</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
        "Loading \n",
-       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1995-1999/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_pr_1995-199\u001b[0m\n",
-       "\u001b[95m9.nc\u001b[0m\n"
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2019-2021/w\u001b[0m\n",
+       "\u001b[35mork/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_pr_2019-2021.nc\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -502,14 +411,14 @@
      "data": {
       "text/html": [
        "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
-       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1970-1974/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_tas_1970-19</span>\n",
-       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">74.nc</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2022-2024/w</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">ork/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_pr_2022-2024.nc</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
        "Loading \n",
-       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1970-1974/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_tas_1970-19\u001b[0m\n",
-       "\u001b[95m74.nc\u001b[0m\n"
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2022-2024/w\u001b[0m\n",
+       "\u001b[35mork/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_pr_2022-2024.nc\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -519,14 +428,14 @@
      "data": {
       "text/html": [
        "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
-       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1975-1979/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_tas_1975-19</span>\n",
-       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">79.nc</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2019-2021/w</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">ork/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_tas_2019-2021.nc</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
        "Loading \n",
-       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1975-1979/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_tas_1975-19\u001b[0m\n",
-       "\u001b[95m79.nc\u001b[0m\n"
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2019-2021/w\u001b[0m\n",
+       "\u001b[35mork/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_tas_2019-2021.nc\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -536,14 +445,14 @@
      "data": {
       "text/html": [
        "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
-       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1980-1984/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_tas_1980-19</span>\n",
-       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">84.nc</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2022-2024/w</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">ork/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_tas_2022-2024.nc</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
        "Loading \n",
-       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1980-1984/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_tas_1980-19\u001b[0m\n",
-       "\u001b[95m84.nc\u001b[0m\n"
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2022-2024/w\u001b[0m\n",
+       "\u001b[35mork/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_tas_2022-2024.nc\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -553,14 +462,14 @@
      "data": {
       "text/html": [
        "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
-       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1985-1989/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_tas_1985-19</span>\n",
-       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">89.nc</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2019-2021/w</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">ork/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_rsds_2019-2021.nc</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
        "Loading \n",
-       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1985-1989/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_tas_1985-19\u001b[0m\n",
-       "\u001b[95m89.nc\u001b[0m\n"
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2019-2021/w\u001b[0m\n",
+       "\u001b[35mork/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_rsds_2019-2021.nc\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -570,14 +479,14 @@
      "data": {
       "text/html": [
        "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
-       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1990-1994/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_tas_1990-19</span>\n",
-       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">94.nc</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2022-2024/w</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">ork/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_rsds_2022-2024.nc</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
        "Loading \n",
-       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1990-1994/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_tas_1990-19\u001b[0m\n",
-       "\u001b[95m94.nc\u001b[0m\n"
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2022-2024/w\u001b[0m\n",
+       "\u001b[35mork/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_rsds_2022-2024.nc\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -587,14 +496,14 @@
      "data": {
       "text/html": [
        "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
-       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1995-1999/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_tas_1995-19</span>\n",
-       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">99.nc</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2019-2021/w</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">ork/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_evspsblpot.nc</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
        "Loading \n",
-       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1995-1999/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_tas_1995-19\u001b[0m\n",
-       "\u001b[95m99.nc\u001b[0m\n"
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2019-2021/w\u001b[0m\n",
+       "\u001b[35mork/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_evspsblpot.nc\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -604,189 +513,14 @@
      "data": {
       "text/html": [
        "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
-       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1970-1974/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_rsds_1970-1</span>\n",
-       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">974.nc</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2022-2024/w</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">ork/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_evspsblpot.nc</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
        "Loading \n",
-       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1970-1974/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_rsds_1970-1\u001b[0m\n",
-       "\u001b[95m974.nc\u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
-       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1975-1979/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_rsds_1975-1</span>\n",
-       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">979.nc</span>\n",
-       "</pre>\n"
-      ],
-      "text/plain": [
-       "Loading \n",
-       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1975-1979/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_rsds_1975-1\u001b[0m\n",
-       "\u001b[95m979.nc\u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
-       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1980-1984/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_rsds_1980-1</span>\n",
-       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">984.nc</span>\n",
-       "</pre>\n"
-      ],
-      "text/plain": [
-       "Loading \n",
-       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1980-1984/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_rsds_1980-1\u001b[0m\n",
-       "\u001b[95m984.nc\u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
-       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1985-1989/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_rsds_1985-1</span>\n",
-       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">989.nc</span>\n",
-       "</pre>\n"
-      ],
-      "text/plain": [
-       "Loading \n",
-       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1985-1989/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_rsds_1985-1\u001b[0m\n",
-       "\u001b[95m989.nc\u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
-       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1990-1994/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_rsds_1990-1</span>\n",
-       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">994.nc</span>\n",
-       "</pre>\n"
-      ],
-      "text/plain": [
-       "Loading \n",
-       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1990-1994/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_rsds_1990-1\u001b[0m\n",
-       "\u001b[95m994.nc\u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
-       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1995-1999/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_rsds_1995-1</span>\n",
-       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">999.nc</span>\n",
-       "</pre>\n"
-      ],
-      "text/plain": [
-       "Loading \n",
-       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1995-1999/work/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_rsds_1995-1\u001b[0m\n",
-       "\u001b[95m999.nc\u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
-       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1970-1974/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_evspsblpot.nc</span>\n",
-       "</pre>\n"
-      ],
-      "text/plain": [
-       "Loading \n",
-       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1970-1974/work/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_evspsblpot.nc\u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
-       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1975-1979/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_evspsblpot.nc</span>\n",
-       "</pre>\n"
-      ],
-      "text/plain": [
-       "Loading \n",
-       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1975-1979/work/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_evspsblpot.nc\u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
-       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1980-1984/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_evspsblpot.nc</span>\n",
-       "</pre>\n"
-      ],
-      "text/plain": [
-       "Loading \n",
-       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1980-1984/work/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_evspsblpot.nc\u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
-       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1985-1989/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_evspsblpot.nc</span>\n",
-       "</pre>\n"
-      ],
-      "text/plain": [
-       "Loading \n",
-       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1985-1989/work/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_evspsblpot.nc\u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
-       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1990-1994/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_evspsblpot.nc</span>\n",
-       "</pre>\n"
-      ],
-      "text/plain": [
-       "Loading \n",
-       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1990-1994/work/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_evspsblpot.nc\u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
-       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1995-1999/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_evspsblpot.nc</span>\n",
-       "</pre>\n"
-      ],
-      "text/plain": [
-       "Loading \n",
-       "\u001b[35m/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1995-1999/work/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_evspsblpot.nc\u001b[0m\n"
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2022-2024/w\u001b[0m\n",
+       "\u001b[35mork/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_evspsblpot.nc\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -799,7 +533,7 @@
     "var_names = [\"pr\", \"tas\", \"rsds\", \"evspsblpot\"]\n",
     "\n",
     "# combined_path = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / f'ERA5-{periods[0][0]}-{periods[1][-1]}'\n",
-    "combined_path = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"forcings\" / \"ERA5\" / f'ERA5-{periods[0][0]}-{periods[1][-1]}'\n",
+    "combined_path = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"forcings\" / \"ERA5\" / f'ERA5-{start_year}-{end_year}'\n",
     "combined_path.mkdir(parents=True, exist_ok=True)\n",
     "\n",
     "for i in range(len(var_names)):\n",
@@ -817,7 +551,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 9,
    "id": "e60b3316-e100-4af9-a36d-fad721ef6e02",
    "metadata": {},
    "outputs": [],
@@ -831,8 +565,7 @@
     "        \"pr\": f\"combined_ERA5_{start_year}_{end_year}_pr.nc\",\n",
     "        \"tas\": f\"combined_ERA5_{start_year}_{end_year}_tas.nc\",\n",
     "        \"rsds\": f\"combined_ERA5_{start_year}_{end_year}_rsds.nc\",\n",
-    "        \"evspsblpot\": f\"combined_ERA5_{start_year}_{end_year}_evspsblpot.nc\"\n",
-    "    }}\n",
+    "        \"evspsblpot\": f\"combined_ERA5_{start_year}_{end_year}_evspsblpot.nc\"}}\n",
     "\n",
     "# Save the YAML file\n",
     "yaml_file_path = combined_path / \"ewatercycle_forcing.yaml\"\n",
@@ -843,7 +576,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 10,
    "id": "10ff50bf-b6e7-4033-9682-3e25d01ecd26",
    "metadata": {},
    "outputs": [
@@ -851,30 +584,34 @@
      "data": {
       "text/html": [
        "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">LumpedMakkinkForcing</span><span style=\"font-weight: bold\">(</span>\n",
-       "    <span style=\"color: #808000; text-decoration-color: #808000\">start_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'1970-01-01T00:00:00Z'</span>,\n",
-       "    <span style=\"color: #808000; text-decoration-color: #808000\">end_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'1999-12-31T00:00:00Z'</span>,\n",
-       "    <span style=\"color: #808000; text-decoration-color: #808000\">directory</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1970-1999'</span><span style=\"font-weight: bold\">)</span>,\n",
-       "    <span style=\"color: #808000; text-decoration-color: #808000\">shape</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">start_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'2019-01-01T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">end_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'2024-12-31T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">directory</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forci</span>\n",
+       "<span style=\"color: #008000; text-decoration-color: #008000\">ngs/ERA5/ERA5-2019-2024'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">shape</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Shapefile</span>\n",
+       "<span style=\"color: #008000; text-decoration-color: #008000\">s/07DA001_basin.shp'</span><span style=\"font-weight: bold\">)</span>,\n",
        "    <span style=\"color: #808000; text-decoration-color: #808000\">filenames</span>=<span style=\"font-weight: bold\">{</span>\n",
-       "        <span style=\"color: #008000; text-decoration-color: #008000\">'evspsblpot'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1970_1999_evspsblpot.nc'</span>,\n",
-       "        <span style=\"color: #008000; text-decoration-color: #008000\">'pr'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1970_1999_pr.nc'</span>,\n",
-       "        <span style=\"color: #008000; text-decoration-color: #008000\">'rsds'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1970_1999_rsds.nc'</span>,\n",
-       "        <span style=\"color: #008000; text-decoration-color: #008000\">'tas'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1970_1999_tas.nc'</span>\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'evspsblpot'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_2019_2024_evspsblpot.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'pr'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_2019_2024_pr.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'rsds'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_2019_2024_rsds.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'tas'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_2019_2024_tas.nc'</span>\n",
        "    <span style=\"font-weight: bold\">}</span>\n",
        "<span style=\"font-weight: bold\">)</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
        "\u001b[1;35mLumpedMakkinkForcing\u001b[0m\u001b[1m(\u001b[0m\n",
-       "    \u001b[33mstart_time\u001b[0m=\u001b[32m'1970-01-01T00:00:00Z'\u001b[0m,\n",
-       "    \u001b[33mend_time\u001b[0m=\u001b[32m'1999-12-31T00:00:00Z'\u001b[0m,\n",
-       "    \u001b[33mdirectory\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1970-1999'\u001b[0m\u001b[1m)\u001b[0m,\n",
-       "    \u001b[33mshape\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mstart_time\u001b[0m=\u001b[32m'2019-01-01T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mend_time\u001b[0m=\u001b[32m'2024-12-31T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mdirectory\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forci\u001b[0m\n",
+       "\u001b[32mngs/ERA5/ERA5-2019-2024'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mshape\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Shapefile\u001b[0m\n",
+       "\u001b[32ms/07DA001_basin.shp'\u001b[0m\u001b[1m)\u001b[0m,\n",
        "    \u001b[33mfilenames\u001b[0m=\u001b[1m{\u001b[0m\n",
-       "        \u001b[32m'evspsblpot'\u001b[0m: \u001b[32m'combined_ERA5_1970_1999_evspsblpot.nc'\u001b[0m,\n",
-       "        \u001b[32m'pr'\u001b[0m: \u001b[32m'combined_ERA5_1970_1999_pr.nc'\u001b[0m,\n",
-       "        \u001b[32m'rsds'\u001b[0m: \u001b[32m'combined_ERA5_1970_1999_rsds.nc'\u001b[0m,\n",
-       "        \u001b[32m'tas'\u001b[0m: \u001b[32m'combined_ERA5_1970_1999_tas.nc'\u001b[0m\n",
+       "        \u001b[32m'evspsblpot'\u001b[0m: \u001b[32m'combined_ERA5_2019_2024_evspsblpot.nc'\u001b[0m,\n",
+       "        \u001b[32m'pr'\u001b[0m: \u001b[32m'combined_ERA5_2019_2024_pr.nc'\u001b[0m,\n",
+       "        \u001b[32m'rsds'\u001b[0m: \u001b[32m'combined_ERA5_2019_2024_rsds.nc'\u001b[0m,\n",
+       "        \u001b[32m'tas'\u001b[0m: \u001b[32m'combined_ERA5_2019_2024_tas.nc'\u001b[0m\n",
        "    \u001b[1m}\u001b[0m\n",
        "\u001b[1m)\u001b[0m\n"
       ]
diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step6_CMIP_History.ipynb b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step6_CMIP_History.ipynb
index a7ee5b2d..c27364f0 100644
--- a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step6_CMIP_History.ipynb
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step6_CMIP_History.ipynb
@@ -30,7 +30,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 17,
    "id": "d197b8f0-0f85-4a41-b2fb-1b2a8cf3f9f5",
    "metadata": {},
    "outputs": [],
@@ -52,7 +52,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 18,
    "id": "dd7b7d3f-1489-4723-bb51-f3cffcb7a85c",
    "metadata": {},
    "outputs": [],
@@ -65,7 +65,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 19,
    "id": "1c8aee93-b2d6-4291-89ae-1d29e69268cd",
    "metadata": {},
    "outputs": [],
@@ -78,7 +78,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 20,
    "id": "d7dce039-d1f3-44a0-b646-98c32ecffb28",
    "metadata": {},
    "outputs": [],
@@ -100,37 +100,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
-   "id": "d330bf37-7419-4287-81af-3d09e4c7a30e",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# # Create pathways for ERA 5 forcings\n",
-    "\n",
-    "# forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / f\"ERA5-{start_year}-{end_year}\"\n",
-    "\n",
-    "# forcing_path_CMIP = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / Scenario / f\"CMIP6-{start_year}-{end_year}\"\n",
-    "\n",
-    "# forcing_path_QDM = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / Scenario / f\"CMIP6-QDM-{start_year}-{end_year}\"\n",
-    "\n",
-    "# discharge_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
-    "\n",
-    "# shape_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
-    "\n",
-    "# hbv_config = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"hbv_config\"\n",
-    "# hbv_config.mkdir(parents=True, exist_ok=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 21,
    "id": "15ea4507-f559-4ef8-9756-60b8502064d7",
    "metadata": {},
    "outputs": [],
    "source": [
     "# # Create pathways for forcings\n",
     "\n",
-    "forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"forcings\" / \"ERA5\" / \"ERA5-1999-2019\"\n",
+    "forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"forcings\" / \"ERA5\" / f\"ERA5-{start_year}-{end_year}\"\n",
     "\n",
     "forcing_path_CMIP = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / Scenario / f\"CMIP6-{start_year}-{end_year}\"\n",
     "\n",
@@ -146,7 +123,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 124,
+   "execution_count": 22,
    "id": "46ea8b1e-fb73-49ed-855c-4d95cd932748",
    "metadata": {},
    "outputs": [
@@ -214,7 +191,7 @@
        "4 1957-10-05          487.0"
       ]
      },
-     "execution_count": 124,
+     "execution_count": 22,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -232,7 +209,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 125,
+   "execution_count": 23,
    "id": "8bb224ad-d23c-475f-b6af-4a6023a17044",
    "metadata": {},
    "outputs": [],
@@ -251,7 +228,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 126,
+   "execution_count": 24,
    "id": "fc27f6f8-e7ff-4be6-b073-05006d25426a",
    "metadata": {},
    "outputs": [
@@ -267,7 +244,7 @@
        "Name: Observed discharge, dtype: float64"
       ]
      },
-     "execution_count": 126,
+     "execution_count": 24,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -278,7 +255,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 25,
    "id": "7f6f57aa-9f39-4524-ba3a-34f55035ebab",
    "metadata": {},
    "outputs": [
@@ -316,7 +293,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 26,
    "id": "77e79b20-3e4d-405a-bd88-16bdc50bdb39",
    "metadata": {},
    "outputs": [
@@ -396,7 +373,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 27,
    "id": "ca2be146-1112-4806-a44f-d57ebd4442c9",
    "metadata": {},
    "outputs": [],
@@ -433,15 +410,14 @@
     "               \"Tlag\",       # Time lag\n",
     "               \"Kf\",         # Fast reservoir recession coefficient\n",
     "               \"Ks\",         # Slow reservoir recession coefficient\n",
-    "               \"FM\"          # Snowmelt factor\n",
-    "               ]\n",
+    "               \"FM\"]          # Snowmelt factor\n",
     "\n",
     "# Initial: par_0 = [5.085, 0.55, 100.373, 1.612, 0.545, 3.801, 0.196, 0.00, 0.185]"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 28,
    "id": "d5e5bcb4-bf90-470b-90ed-4a0b9d80c35d",
    "metadata": {},
    "outputs": [],
@@ -462,7 +438,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 29,
    "id": "055bdbc8-af1f-41ac-ad1d-b4da4d6785f6",
    "metadata": {},
    "outputs": [],
@@ -476,8 +452,7 @@
     "    config_file, _ = model.setup(\n",
     "        parameters=parameters,\n",
     "        initial_storages=initial_storages,\n",
-    "        cfg_dir=hbv_config\n",
-    "    )\n",
+    "        cfg_dir=hbv_config)\n",
     "\n",
     "    # Initialising model\n",
     "    model.initialize(config_file)\n",
@@ -497,22 +472,13 @@
     "    model_output_mmday = pd.Series(\n",
     "        data=Q_m,\n",
     "        index=time,\n",
-    "        name=\"Modelled discharge\"\n",
-    "    )\n",
+    "        name=\"Modelled discharge\")\n",
     "\n",
     "    model_output_m3s = model_output_mmday * basin_size * 1000 / 86400\n",
     "\n",
     "    return model_output_m3s"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "0eef7e02-1e23-4d1a-99a3-56c2d3b5f62f",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
   {
    "cell_type": "markdown",
    "id": "650daf1f-e90f-4b5b-aac5-eca8965de7cf",
@@ -523,7 +489,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 30,
    "id": "44092959-524a-4330-a274-77cfad0eacd6",
    "metadata": {},
    "outputs": [],
@@ -544,8 +510,7 @@
     "        simulated = run_hbv(\n",
     "            parameters=par_ensemble[i],\n",
     "            initial_storages=initial_storages,\n",
-    "            forcing=forcing\n",
-    "        )\n",
+    "            forcing=forcing)\n",
     "\n",
     "        # Filter data by day only, not by day & time to prevent alignment issues\n",
     "        simulated_daily = simulated\n",
@@ -569,7 +534,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 31,
    "id": "079368de-30cf-491f-8cc9-2021f6a4bfa6",
    "metadata": {},
    "outputs": [
@@ -702,118 +667,18 @@
      },
      "metadata": {},
      "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Set 1</th>\n",
-       "      <th>Set 2</th>\n",
-       "      <th>Set 3</th>\n",
-       "      <th>Set 4</th>\n",
-       "      <th>Set 5</th>\n",
-       "      <th>Mean</th>\n",
-       "      <th>Observed discharge</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>1999-01-02</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>103.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1999-01-03</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>101.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1999-01-04</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>103.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1999-01-05</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>105.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1999-01-06</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>108.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "            Set 1  Set 2  Set 3  Set 4  Set 5  Mean  Observed discharge\n",
-       "1999-01-02    0.0    0.0    0.0    0.0    0.0   0.0               103.0\n",
-       "1999-01-03    0.0    0.0    0.0    0.0    0.0   0.0               101.0\n",
-       "1999-01-04    0.0    0.0    0.0    0.0    0.0   0.0               103.0\n",
-       "1999-01-05    0.0    0.0    0.0    0.0    0.0   0.0               105.0\n",
-       "1999-01-06    0.0    0.0    0.0    0.0    0.0   0.0               108.0"
-      ]
-     },
-     "execution_count": 28,
-     "metadata": {},
-     "output_type": "execute_result"
     }
    ],
    "source": [
     "ensemble_data_ERA5 = run_hbv_ensemble(\n",
     "    par_ensemble=par_ensemble,\n",
     "    initial_storages=s_0,\n",
-    "    forcing=ERA5_forcing\n",
-    ")\n",
+    "    forcing=ERA5_forcing)\n",
     "\n",
     "ensemble_data_CMIP = run_hbv_ensemble(\n",
     "    par_ensemble=par_ensemble,\n",
     "    initial_storages=s_0,\n",
-    "    forcing=CMIP_forcing\n",
-    ")\n",
+    "    forcing=CMIP_forcing)\n",
     "\n",
     "# ensemble_data_QDM = run_hbv_ensemble(\n",
     "#     par_ensemble=par_ensemble,\n",
@@ -824,7 +689,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 32,
    "id": "3d246969-43f4-4702-9932-873cff874d17",
    "metadata": {},
    "outputs": [
@@ -860,54 +725,54 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>1999-01-02</th>\n",
+       "      <th>1995-01-02</th>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>103.0</td>\n",
+       "      <td>196.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1999-01-03</th>\n",
+       "      <th>1995-01-03</th>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>101.0</td>\n",
+       "      <td>194.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1999-01-04</th>\n",
+       "      <th>1995-01-04</th>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>103.0</td>\n",
+       "      <td>191.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1999-01-05</th>\n",
+       "      <th>1995-01-05</th>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>105.0</td>\n",
+       "      <td>186.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1999-01-06</th>\n",
+       "      <th>1995-01-06</th>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>108.0</td>\n",
+       "      <td>180.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -915,14 +780,14 @@
       ],
       "text/plain": [
        "            Set 1  Set 2  Set 3  Set 4  Set 5  Mean  Observed discharge\n",
-       "1999-01-02    0.0    0.0    0.0    0.0    0.0   0.0               103.0\n",
-       "1999-01-03    0.0    0.0    0.0    0.0    0.0   0.0               101.0\n",
-       "1999-01-04    0.0    0.0    0.0    0.0    0.0   0.0               103.0\n",
-       "1999-01-05    0.0    0.0    0.0    0.0    0.0   0.0               105.0\n",
-       "1999-01-06    0.0    0.0    0.0    0.0    0.0   0.0               108.0"
+       "1995-01-02    0.0    0.0    0.0    0.0    0.0   0.0               196.0\n",
+       "1995-01-03    0.0    0.0    0.0    0.0    0.0   0.0               194.0\n",
+       "1995-01-04    0.0    0.0    0.0    0.0    0.0   0.0               191.0\n",
+       "1995-01-05    0.0    0.0    0.0    0.0    0.0   0.0               186.0\n",
+       "1995-01-06    0.0    0.0    0.0    0.0    0.0   0.0               180.0"
       ]
      },
-     "execution_count": 33,
+     "execution_count": 32,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -942,7 +807,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 33,
    "id": "37567a9e-dff3-4c80-84e0-572a6ed72b68",
    "metadata": {},
    "outputs": [],
@@ -965,7 +830,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 34,
    "id": "dc7850a4-dc30-4aa7-8719-4f810760c320",
    "metadata": {},
    "outputs": [],
@@ -1019,7 +884,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 35,
    "id": "80962ebd-6ad7-48ce-b378-acd68ed03a1e",
    "metadata": {},
    "outputs": [],
@@ -1055,7 +920,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 36,
    "id": "f519854a-a994-44fd-a428-4d0c6daa98e1",
    "metadata": {},
    "outputs": [],
@@ -1095,7 +960,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 37,
    "id": "f1bb58f8-3dee-43eb-abc8-4af333b5d064",
    "metadata": {},
    "outputs": [],
@@ -1123,7 +988,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 233,
+   "execution_count": 38,
    "id": "b835010a-b272-46b7-9c20-b0db1a99506b",
    "metadata": {},
    "outputs": [
@@ -1138,7 +1003,7 @@
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 2000x800 with 1 Axes>"
       ]
@@ -1200,314 +1065,113 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 255,
+   "execution_count": 39,
    "id": "0f9385e5-b6f1-4f2c-9876-ee1b618214fb",
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Change observed and cmip to df\n",
+    "# # Change observed and cmip to df\n",
     "\n",
-    "# Copy data \n",
-    "cmip_mean = ensemble_data_CMIP[\"Mean\"].copy()\n",
+    "# # Copy data \n",
+    "# cmip_mean = ensemble_data_CMIP[\"Mean\"].copy()\n",
     "\n",
-    "# Change into df\n",
-    "cmip_mean_df = cmip_mean.to_frame(name=\"discharge\")\n",
-    "observed_output_df = observed_output.to_frame(name=\"discharge\")\n",
+    "# # Change into df\n",
+    "# cmip_mean_df = cmip_mean.to_frame(name=\"discharge\")\n",
+    "# observed_output_df = observed_output.to_frame(name=\"discharge\")\n",
     "\n",
-    "# Select open water season period to exclude winter months from quantiles \n",
-    "def select_open_water_season(series_or_df):\n",
+    "# # Select open water season period to exclude winter months from quantiles \n",
+    "# def select_open_water_season(series_or_df):\n",
     "\n",
-    "    data = series_or_df.copy()\n",
-    "    data.index = pd.to_datetime(data.index)\n",
+    "#     data = series_or_df.copy()\n",
+    "#     data.index = pd.to_datetime(data.index)\n",
     "\n",
-    "    mask = (((data.index.month > 5) & (data.index.month < 10)) | ((data.index.month == 5) & (data.index.day >= 18)) |((data.index.month == 10) & (data.index.day <= 17)))\n",
+    "#     mask = (((data.index.month > 5) & (data.index.month < 10)) | ((data.index.month == 5) & (data.index.day >= 18)) |((data.index.month == 10) & (data.index.day <= 17)))\n",
     "\n",
-    "    return data[mask]\n",
+    "#     return data[mask]\n",
     "\n",
-    "observed_open = select_open_water_season(observed_output_df[\"discharge\"])\n",
-    "cmip_open = select_open_water_season(cmip_mean_df[\"discharge\"])"
+    "# observed_open = select_open_water_season(observed_output_df[\"discharge\"])\n",
+    "# cmip_open = select_open_water_season(cmip_mean_df[\"discharge\"])"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 256,
+   "execution_count": 40,
    "id": "f20e8bd2-58ba-4139-85aa-0a3bb4c0d647",
    "metadata": {},
    "outputs": [],
    "source": [
-    "def quantile_mapping(observed, modelled, n):\n",
-    "    # Define a common quantile grid (e.g., 1000 points between 0 and 1)\n",
-    "    quantiles = np.linspace(0, 1, n)\n",
+    "# def quantile_mapping(observed, modelled, n):\n",
+    "#     # Define a common quantile grid (e.g., 1000 points between 0 and 1)\n",
+    "#     quantiles = np.linspace(0, 1, n)\n",
     "\n",
-    "    # Sort the data\n",
-    "    observed_sorted = np.sort(observed)\n",
-    "    modelled_sorted = np.sort(modelled)\n",
+    "#     # Sort the data\n",
+    "#     observed_sorted = np.sort(observed)\n",
+    "#     modelled_sorted = np.sort(modelled)\n",
     "\n",
-    "    # Interpolate both series onto the common quantile grid\n",
-    "    observed_interpolated = interp1d(np.linspace(0, 1, len(observed_sorted)), observed_sorted, bounds_error=False, fill_value=\"extrapolate\")\n",
-    "    modelled_interpolated = interp1d(np.linspace(0, 1, len(modelled_sorted)), modelled_sorted, bounds_error=False, fill_value=\"extrapolate\")\n",
+    "#     # Interpolate both series onto the common quantile grid\n",
+    "#     observed_interpolated = interp1d(np.linspace(0, 1, len(observed_sorted)), observed_sorted, bounds_error=False, fill_value=\"extrapolate\")\n",
+    "#     modelled_interpolated = interp1d(np.linspace(0, 1, len(modelled_sorted)), modelled_sorted, bounds_error=False, fill_value=\"extrapolate\")\n",
     "\n",
-    "    observed_on_quantiles = observed_interpolated(quantiles)\n",
-    "    modelled_on_quantiles = modelled_interpolated(quantiles)\n",
+    "#     observed_on_quantiles = observed_interpolated(quantiles)\n",
+    "#     modelled_on_quantiles = modelled_interpolated(quantiles)\n",
     "\n",
-    "    mapping_function = interp1d(modelled_on_quantiles, observed_on_quantiles, bounds_error=False, fill_value=\"extrapolate\")\n",
+    "#     mapping_function = interp1d(modelled_on_quantiles, observed_on_quantiles, bounds_error=False, fill_value=\"extrapolate\")\n",
     "\n",
-    "    return mapping_function"
+    "#     return mapping_function"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 257,
+   "execution_count": 42,
    "id": "7237db83-153e-4b5b-abf3-8efe0cb9cbe3",
    "metadata": {},
    "outputs": [],
    "source": [
-    "qm_daily = quantile_mapping(observed_open, cmip_open, 1000)\n",
-    "# qm_daily = quantile_mapping(observed_output_df[\"discharge\"], cmip_mean_df[\"discharge\"], 1000)"
+    "# qm_daily = quantile_mapping(observed_open, cmip_open, 1000)\n",
+    "# # qm_daily = quantile_mapping(observed_output_df[\"discharge\"], cmip_mean_df[\"discharge\"], 1000)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 258,
+   "execution_count": null,
    "id": "22ffb8c5-c529-42e2-af1b-7a9d41d37737",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Set 1</th>\n",
-       "      <th>Set 2</th>\n",
-       "      <th>Set 3</th>\n",
-       "      <th>Set 4</th>\n",
-       "      <th>Set 5</th>\n",
-       "      <th>Mean</th>\n",
-       "      <th>Observed discharge</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>1995-01-02</th>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>197.006634</td>\n",
-       "      <td>196.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1995-01-03</th>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>197.006634</td>\n",
-       "      <td>194.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1995-01-04</th>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>197.006634</td>\n",
-       "      <td>191.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1995-01-05</th>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>197.006634</td>\n",
-       "      <td>186.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1995-01-06</th>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>197.006634</td>\n",
-       "      <td>180.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1996-05-11</th>\n",
-       "      <td>1200.499544</td>\n",
-       "      <td>1578.823395</td>\n",
-       "      <td>1934.690488</td>\n",
-       "      <td>2360.785587</td>\n",
-       "      <td>1667.775630</td>\n",
-       "      <td>1500.000000</td>\n",
-       "      <td>893.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1996-05-12</th>\n",
-       "      <td>1318.152547</td>\n",
-       "      <td>1569.218431</td>\n",
-       "      <td>1902.541667</td>\n",
-       "      <td>2299.738496</td>\n",
-       "      <td>1636.528975</td>\n",
-       "      <td>1496.259269</td>\n",
-       "      <td>860.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1996-05-13</th>\n",
-       "      <td>1448.767806</td>\n",
-       "      <td>1570.017330</td>\n",
-       "      <td>1893.828178</td>\n",
-       "      <td>2270.186058</td>\n",
-       "      <td>1622.187409</td>\n",
-       "      <td>1503.762222</td>\n",
-       "      <td>829.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1996-05-14</th>\n",
-       "      <td>1576.991892</td>\n",
-       "      <td>1565.454242</td>\n",
-       "      <td>1892.365134</td>\n",
-       "      <td>2250.935805</td>\n",
-       "      <td>1613.655879</td>\n",
-       "      <td>1510.000000</td>\n",
-       "      <td>804.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1996-05-15</th>\n",
-       "      <td>1700.065071</td>\n",
-       "      <td>1560.548065</td>\n",
-       "      <td>1888.298474</td>\n",
-       "      <td>2229.168385</td>\n",
-       "      <td>1604.135524</td>\n",
-       "      <td>1536.680811</td>\n",
-       "      <td>774.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>500 rows × 7 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                  Set 1        Set 2        Set 3        Set 4        Set 5  \\\n",
-       "1995-01-02     0.000000     0.000000     0.000000     0.000000     0.000000   \n",
-       "1995-01-03     0.000000     0.000000     0.000000     0.000000     0.000000   \n",
-       "1995-01-04     0.000000     0.000000     0.000000     0.000000     0.000000   \n",
-       "1995-01-05     0.000000     0.000000     0.000000     0.000000     0.000000   \n",
-       "1995-01-06     0.000000     0.000000     0.000000     0.000000     0.000000   \n",
-       "...                 ...          ...          ...          ...          ...   \n",
-       "1996-05-11  1200.499544  1578.823395  1934.690488  2360.785587  1667.775630   \n",
-       "1996-05-12  1318.152547  1569.218431  1902.541667  2299.738496  1636.528975   \n",
-       "1996-05-13  1448.767806  1570.017330  1893.828178  2270.186058  1622.187409   \n",
-       "1996-05-14  1576.991892  1565.454242  1892.365134  2250.935805  1613.655879   \n",
-       "1996-05-15  1700.065071  1560.548065  1888.298474  2229.168385  1604.135524   \n",
-       "\n",
-       "                   Mean  Observed discharge  \n",
-       "1995-01-02   197.006634               196.0  \n",
-       "1995-01-03   197.006634               194.0  \n",
-       "1995-01-04   197.006634               191.0  \n",
-       "1995-01-05   197.006634               186.0  \n",
-       "1995-01-06   197.006634               180.0  \n",
-       "...                 ...                 ...  \n",
-       "1996-05-11  1500.000000               893.0  \n",
-       "1996-05-12  1496.259269               860.0  \n",
-       "1996-05-13  1503.762222               829.0  \n",
-       "1996-05-14  1510.000000               804.0  \n",
-       "1996-05-15  1536.680811               774.0  \n",
-       "\n",
-       "[500 rows x 7 columns]"
-      ]
-     },
-     "execution_count": 258,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "cmip_corrected_values = qm_daily(cmip_mean_df[\"discharge\"])\n",
+    "# cmip_corrected_values = qm_daily(cmip_mean_df[\"discharge\"])\n",
     "\n",
-    "cmip_mean_qm = pd.Series(cmip_corrected_values,index=cmip_mean_df.index,name=\"Mean\")\n",
-    "cmip_mean_qm = cmip_mean_qm.fillna(0)\n",
-    "cmip_mean_qm = cmip_mean_qm.clip(lower=0)\n",
+    "# cmip_mean_qm = pd.Series(cmip_corrected_values,index=cmip_mean_df.index,name=\"Mean\")\n",
+    "# cmip_mean_qm = cmip_mean_qm.fillna(0)\n",
+    "# cmip_mean_qm = cmip_mean_qm.clip(lower=0)\n",
     "\n",
-    "# cmip_mean_qm.head()\n",
-    "# cmip_mean_qm.head(500)\n",
+    "# # cmip_mean_qm.head()\n",
+    "# # cmip_mean_qm.head(500)\n",
     "\n",
-    "ensemble_data_CMIP_QM = ensemble_data_CMIP.copy()\n",
-    "ensemble_data_CMIP_QM[\"Mean\"] = cmip_mean_qm\n",
+    "# ensemble_data_CMIP_QM = ensemble_data_CMIP.copy()\n",
+    "# ensemble_data_CMIP_QM[\"Mean\"] = cmip_mean_qm\n",
     "\n",
-    "ensemble_data_CMIP_QM.head(500)"
+    "# ensemble_data_CMIP_QM.head(500)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 259,
+   "execution_count": null,
    "id": "53515218-430b-4fd5-8a39-bcd90273f144",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<Figure size 640x480 with 0 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "<Figure size 2000x800 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "selected_year = 2013\n",
+    "# selected_year = 2013\n",
     "\n",
-    "plot_ensemble(\n",
-    "    ensemble_data=ensemble_data_CMIP_QM,\n",
-    "    plot_start=pd.to_datetime(f\"{selected_year}-01-01\"),\n",
-    "    plot_end=pd.to_datetime(f\"{selected_year}-12-31\")\n",
-    ")"
+    "# plot_ensemble(\n",
+    "#     ensemble_data=ensemble_data_CMIP_QM,\n",
+    "#     plot_start=pd.to_datetime(f\"{selected_year}-01-01\"),\n",
+    "#     plot_end=pd.to_datetime(f\"{selected_year}-12-31\")\n",
+    "# )"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 67,
+   "execution_count": null,
    "id": "95c6b9fe-de4c-4f0f-ba81-27cac73ed1b4",
    "metadata": {},
    "outputs": [],
@@ -1521,7 +1185,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 111,
+   "execution_count": null,
    "id": "bab56168-fcda-42d7-9d01-6341a90c4810",
    "metadata": {},
    "outputs": [],
@@ -1539,7 +1203,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 69,
+   "execution_count": 43,
    "id": "dcc14e37-5aea-4b00-ae71-32b68ee03d4a",
    "metadata": {},
    "outputs": [],
@@ -1619,33 +1283,33 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 99,
+   "execution_count": 44,
    "id": "7460b853-5619-44c9-ac89-3c6fc099bde6",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">observed     <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">488.0</span>\n",
-       "modelmean    <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">494.0</span>\n",
-       "set_1        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">659.0</span>\n",
-       "set_2        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">489.0</span>\n",
-       "set_3        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">485.0</span>\n",
-       "set_4        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">439.0</span>\n",
-       "set_5        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">423.0</span>\n",
-       "set_avg      <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">498.0</span>\n",
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">observed     <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">532.0</span>\n",
+       "modelmean    <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">529.0</span>\n",
+       "set_1        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">710.0</span>\n",
+       "set_2        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">498.0</span>\n",
+       "set_3        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">552.0</span>\n",
+       "set_4        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">543.0</span>\n",
+       "set_5        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">383.0</span>\n",
+       "set_avg      <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">537.0</span>\n",
        "dtype: float64\n",
        "</pre>\n"
       ],
       "text/plain": [
-       "observed     \u001b[1;36m488.0\u001b[0m\n",
-       "modelmean    \u001b[1;36m494.0\u001b[0m\n",
-       "set_1        \u001b[1;36m659.0\u001b[0m\n",
-       "set_2        \u001b[1;36m489.0\u001b[0m\n",
-       "set_3        \u001b[1;36m485.0\u001b[0m\n",
-       "set_4        \u001b[1;36m439.0\u001b[0m\n",
-       "set_5        \u001b[1;36m423.0\u001b[0m\n",
-       "set_avg      \u001b[1;36m498.0\u001b[0m\n",
+       "observed     \u001b[1;36m532.0\u001b[0m\n",
+       "modelmean    \u001b[1;36m529.0\u001b[0m\n",
+       "set_1        \u001b[1;36m710.0\u001b[0m\n",
+       "set_2        \u001b[1;36m498.0\u001b[0m\n",
+       "set_3        \u001b[1;36m552.0\u001b[0m\n",
+       "set_4        \u001b[1;36m543.0\u001b[0m\n",
+       "set_5        \u001b[1;36m383.0\u001b[0m\n",
+       "set_avg      \u001b[1;36m537.0\u001b[0m\n",
        "dtype: float64\n"
       ]
      },
@@ -1681,35 +1345,6 @@
      "metadata": {},
      "output_type": "display_data"
     },
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">observed     <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">532.0</span>\n",
-       "modelmean    <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">770.0</span>\n",
-       "set_1        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">946.0</span>\n",
-       "set_2        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">769.0</span>\n",
-       "set_3        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">772.0</span>\n",
-       "set_4        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">716.0</span>\n",
-       "set_5        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">671.0</span>\n",
-       "set_avg      <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">776.0</span>\n",
-       "dtype: float64\n",
-       "</pre>\n"
-      ],
-      "text/plain": [
-       "observed     \u001b[1;36m532.0\u001b[0m\n",
-       "modelmean    \u001b[1;36m770.0\u001b[0m\n",
-       "set_1        \u001b[1;36m946.0\u001b[0m\n",
-       "set_2        \u001b[1;36m769.0\u001b[0m\n",
-       "set_3        \u001b[1;36m772.0\u001b[0m\n",
-       "set_4        \u001b[1;36m716.0\u001b[0m\n",
-       "set_5        \u001b[1;36m671.0\u001b[0m\n",
-       "set_avg      \u001b[1;36m776.0\u001b[0m\n",
-       "dtype: float64\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
     {
      "data": {
       "text/html": [
@@ -1998,7 +1633,7 @@
        "18  2014        43          0     21      0      0      0      0      4.0"
       ]
      },
-     "execution_count": 99,
+     "execution_count": 44,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2035,12 +1670,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 112,
+   "execution_count": 53,
    "id": "1e9e205d-08bf-4f19-9b12-a0141a4fad99",
    "metadata": {},
    "outputs": [],
    "source": [
-    "def rank(lowflow_ERA5, lowflow_CMIP, lowflow_QDM):\n",
+    "# If including QDM, change function to -> def rank(lowflow_ERA5, lowflow_CMIP, lowflow_QDM):\n",
+    "\n",
+    "def rank(lowflow_ERA5, lowflow_CMIP):\n",
     "\n",
     "    # Combine tables\n",
     "    rank_table = pd.DataFrame({\n",
@@ -2057,7 +1694,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 113,
+   "execution_count": 54,
    "id": "02d8a545-838c-4da5-9935-22f34d49f4ee",
    "metadata": {},
    "outputs": [
@@ -2113,91 +1750,91 @@
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>4</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>5</td>\n",
+       "      <td>1.0</td>\n",
        "      <td>2.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>5</td>\n",
-       "      <td>5</td>\n",
-       "      <td>1.0</td>\n",
+       "      <td>6</td>\n",
+       "      <td>2.0</td>\n",
        "      <td>2.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5</th>\n",
        "      <td>6</td>\n",
-       "      <td>6</td>\n",
-       "      <td>2.0</td>\n",
+       "      <td>13</td>\n",
+       "      <td>5.0</td>\n",
        "      <td>4.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6</th>\n",
        "      <td>7</td>\n",
-       "      <td>13</td>\n",
-       "      <td>5.0</td>\n",
+       "      <td>20</td>\n",
+       "      <td>10.0</td>\n",
        "      <td>4.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>7</th>\n",
        "      <td>8</td>\n",
-       "      <td>20</td>\n",
-       "      <td>10.0</td>\n",
+       "      <td>21</td>\n",
+       "      <td>17.0</td>\n",
        "      <td>7.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>8</th>\n",
        "      <td>9</td>\n",
-       "      <td>21</td>\n",
-       "      <td>17.0</td>\n",
+       "      <td>25</td>\n",
+       "      <td>19.0</td>\n",
        "      <td>12.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>9</th>\n",
        "      <td>10</td>\n",
-       "      <td>25</td>\n",
-       "      <td>19.0</td>\n",
+       "      <td>35</td>\n",
+       "      <td>22.0</td>\n",
        "      <td>19.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>10</th>\n",
        "      <td>11</td>\n",
-       "      <td>35</td>\n",
-       "      <td>22.0</td>\n",
+       "      <td>36</td>\n",
+       "      <td>32.0</td>\n",
        "      <td>22.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>11</th>\n",
        "      <td>12</td>\n",
-       "      <td>36</td>\n",
-       "      <td>32.0</td>\n",
+       "      <td>37</td>\n",
+       "      <td>34.0</td>\n",
        "      <td>23.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>12</th>\n",
        "      <td>13</td>\n",
-       "      <td>37</td>\n",
-       "      <td>34.0</td>\n",
+       "      <td>42</td>\n",
+       "      <td>36.0</td>\n",
        "      <td>24.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>13</th>\n",
        "      <td>14</td>\n",
        "      <td>42</td>\n",
-       "      <td>37.0</td>\n",
+       "      <td>41.0</td>\n",
        "      <td>25.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>14</th>\n",
        "      <td>15</td>\n",
-       "      <td>42</td>\n",
-       "      <td>41.0</td>\n",
+       "      <td>43</td>\n",
+       "      <td>45.0</td>\n",
        "      <td>28.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>15</th>\n",
        "      <td>16</td>\n",
-       "      <td>43</td>\n",
+       "      <td>44</td>\n",
        "      <td>54.0</td>\n",
        "      <td>39.0</td>\n",
        "    </tr>\n",
@@ -2212,14 +1849,14 @@
        "      <th>17</th>\n",
        "      <td>18</td>\n",
        "      <td>52</td>\n",
-       "      <td>60.0</td>\n",
+       "      <td>59.0</td>\n",
        "      <td>105.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>18</th>\n",
        "      <td>19</td>\n",
        "      <td>60</td>\n",
-       "      <td>106.0</td>\n",
+       "      <td>102.0</td>\n",
        "      <td>131.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -2231,31 +1868,31 @@
        "0      1         0    0.0    0.0\n",
        "1      2         0    0.0    0.0\n",
        "2      3         0    0.0    0.0\n",
-       "3      4         0    0.0    2.0\n",
-       "4      5         5    1.0    2.0\n",
-       "5      6         6    2.0    4.0\n",
-       "6      7        13    5.0    4.0\n",
-       "7      8        20   10.0    7.0\n",
-       "8      9        21   17.0   12.0\n",
-       "9     10        25   19.0   19.0\n",
-       "10    11        35   22.0   22.0\n",
-       "11    12        36   32.0   23.0\n",
-       "12    13        37   34.0   24.0\n",
-       "13    14        42   37.0   25.0\n",
-       "14    15        42   41.0   28.0\n",
-       "15    16        43   54.0   39.0\n",
+       "3      4         5    1.0    2.0\n",
+       "4      5         6    2.0    2.0\n",
+       "5      6        13    5.0    4.0\n",
+       "6      7        20   10.0    4.0\n",
+       "7      8        21   17.0    7.0\n",
+       "8      9        25   19.0   12.0\n",
+       "9     10        35   22.0   19.0\n",
+       "10    11        36   32.0   22.0\n",
+       "11    12        37   34.0   23.0\n",
+       "12    13        42   36.0   24.0\n",
+       "13    14        42   41.0   25.0\n",
+       "14    15        43   45.0   28.0\n",
+       "15    16        44   54.0   39.0\n",
        "16    17        51   58.0   85.0\n",
-       "17    18        52   60.0  105.0\n",
-       "18    19        60  106.0  131.0"
+       "17    18        52   59.0  105.0\n",
+       "18    19        60  102.0  131.0"
       ]
      },
-     "execution_count": 113,
+     "execution_count": 54,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "rank_table = rank(lowflow_ERA5, lowflow_CMIP, lowflow_QDM)\n",
+    "rank_table = rank(lowflow_ERA5, lowflow_CMIP)\n",
     "# rank_table = rank(lowflow_ERA5, lowflow_CMIP)\n",
     "\n",
     "rank_table"
@@ -2263,7 +1900,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 114,
+   "execution_count": 55,
    "id": "f87182f3-7a63-4856-9594-f53b5dd421b8",
    "metadata": {},
    "outputs": [
@@ -2314,98 +1951,98 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>5</td>\n",
+       "      <td>1.0</td>\n",
        "      <td>2.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>5</td>\n",
-       "      <td>1.0</td>\n",
+       "      <td>11</td>\n",
+       "      <td>3.0</td>\n",
        "      <td>4.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5</th>\n",
-       "      <td>11</td>\n",
-       "      <td>3.0</td>\n",
+       "      <td>24</td>\n",
+       "      <td>8.0</td>\n",
        "      <td>8.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6</th>\n",
-       "      <td>24</td>\n",
-       "      <td>8.0</td>\n",
+       "      <td>44</td>\n",
+       "      <td>18.0</td>\n",
        "      <td>12.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>7</th>\n",
-       "      <td>44</td>\n",
-       "      <td>18.0</td>\n",
+       "      <td>65</td>\n",
+       "      <td>35.0</td>\n",
        "      <td>19.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>8</th>\n",
-       "      <td>65</td>\n",
-       "      <td>35.0</td>\n",
+       "      <td>90</td>\n",
+       "      <td>54.0</td>\n",
        "      <td>31.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>9</th>\n",
-       "      <td>90</td>\n",
-       "      <td>54.0</td>\n",
+       "      <td>125</td>\n",
+       "      <td>76.0</td>\n",
        "      <td>50.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>10</th>\n",
-       "      <td>125</td>\n",
-       "      <td>76.0</td>\n",
+       "      <td>161</td>\n",
+       "      <td>108.0</td>\n",
        "      <td>72.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>11</th>\n",
-       "      <td>161</td>\n",
-       "      <td>108.0</td>\n",
+       "      <td>198</td>\n",
+       "      <td>142.0</td>\n",
        "      <td>95.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>12</th>\n",
-       "      <td>198</td>\n",
-       "      <td>142.0</td>\n",
+       "      <td>240</td>\n",
+       "      <td>178.0</td>\n",
        "      <td>119.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>13</th>\n",
-       "      <td>240</td>\n",
-       "      <td>179.0</td>\n",
+       "      <td>282</td>\n",
+       "      <td>219.0</td>\n",
        "      <td>144.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>14</th>\n",
-       "      <td>282</td>\n",
-       "      <td>220.0</td>\n",
+       "      <td>325</td>\n",
+       "      <td>264.0</td>\n",
        "      <td>172.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>15</th>\n",
-       "      <td>325</td>\n",
-       "      <td>274.0</td>\n",
+       "      <td>369</td>\n",
+       "      <td>318.0</td>\n",
        "      <td>211.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>16</th>\n",
-       "      <td>376</td>\n",
-       "      <td>332.0</td>\n",
+       "      <td>420</td>\n",
+       "      <td>376.0</td>\n",
        "      <td>296.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>17</th>\n",
-       "      <td>428</td>\n",
-       "      <td>392.0</td>\n",
+       "      <td>472</td>\n",
+       "      <td>435.0</td>\n",
        "      <td>401.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>18</th>\n",
-       "      <td>488</td>\n",
-       "      <td>498.0</td>\n",
+       "      <td>532</td>\n",
+       "      <td>537.0</td>\n",
        "      <td>532.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -2417,25 +2054,25 @@
        "0                 0          0.0           0.0\n",
        "1                 0          0.0           0.0\n",
        "2                 0          0.0           0.0\n",
-       "3                 0          0.0           2.0\n",
-       "4                 5          1.0           4.0\n",
-       "5                11          3.0           8.0\n",
-       "6                24          8.0          12.0\n",
-       "7                44         18.0          19.0\n",
-       "8                65         35.0          31.0\n",
-       "9                90         54.0          50.0\n",
-       "10              125         76.0          72.0\n",
-       "11              161        108.0          95.0\n",
-       "12              198        142.0         119.0\n",
-       "13              240        179.0         144.0\n",
-       "14              282        220.0         172.0\n",
-       "15              325        274.0         211.0\n",
-       "16              376        332.0         296.0\n",
-       "17              428        392.0         401.0\n",
-       "18              488        498.0         532.0"
+       "3                 5          1.0           2.0\n",
+       "4                11          3.0           4.0\n",
+       "5                24          8.0           8.0\n",
+       "6                44         18.0          12.0\n",
+       "7                65         35.0          19.0\n",
+       "8                90         54.0          31.0\n",
+       "9               125         76.0          50.0\n",
+       "10              161        108.0          72.0\n",
+       "11              198        142.0          95.0\n",
+       "12              240        178.0         119.0\n",
+       "13              282        219.0         144.0\n",
+       "14              325        264.0         172.0\n",
+       "15              369        318.0         211.0\n",
+       "16              420        376.0         296.0\n",
+       "17              472        435.0         401.0\n",
+       "18              532        537.0         532.0"
       ]
      },
-     "execution_count": 114,
+     "execution_count": 55,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2453,7 +2090,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 115,
+   "execution_count": 56,
    "id": "78105310-3388-48fa-9471-54003b019753",
    "metadata": {},
    "outputs": [],
@@ -2483,13 +2120,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 116,
+   "execution_count": 57,
    "id": "b3fa8488-2d3f-4dbd-b82c-e3f8c5bb04d8",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 800x500 with 1 Axes>"
       ]
@@ -2512,7 +2149,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 105,
+   "execution_count": 47,
    "id": "cee6e4aa-f4be-45c7-9d7a-d70782c60ad4",
    "metadata": {},
    "outputs": [],
@@ -2540,7 +2177,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 107,
+   "execution_count": 48,
    "id": "ccfd9d00-8165-4a95-a9bc-04d017c2d150",
    "metadata": {},
    "outputs": [],
@@ -2572,8 +2209,7 @@
     "        qm_function = quantile_mapping(\n",
     "            observed=reference_period[set_name],\n",
     "            modelled=target_period[set_name],\n",
-    "            n=n\n",
-    "        )\n",
+    "            n=n)\n",
     "\n",
     "        corrected_data[set_name] = qm_function(target[set_name])\n",
     "\n",
@@ -2594,7 +2230,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 109,
+   "execution_count": 49,
    "id": "2d4ef549-838f-44ce-884b-99c5a3447cbd",
    "metadata": {},
    "outputs": [
@@ -2631,52 +2267,52 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>1995-01-02</th>\n",
+       "      <td>81.398729</td>\n",
+       "      <td>59.3157</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>30.716823</td>\n",
+       "      <td>102.788981</td>\n",
+       "      <td>54.844047</td>\n",
        "      <td>196.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1995-01-03</th>\n",
+       "      <td>81.398729</td>\n",
+       "      <td>59.3157</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>30.716823</td>\n",
+       "      <td>102.788981</td>\n",
+       "      <td>54.844047</td>\n",
        "      <td>194.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1995-01-04</th>\n",
+       "      <td>81.398729</td>\n",
+       "      <td>59.3157</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>30.716823</td>\n",
+       "      <td>102.788981</td>\n",
+       "      <td>54.844047</td>\n",
        "      <td>191.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1995-01-05</th>\n",
+       "      <td>81.398729</td>\n",
+       "      <td>59.3157</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>30.716823</td>\n",
+       "      <td>102.788981</td>\n",
+       "      <td>54.844047</td>\n",
        "      <td>186.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1995-01-06</th>\n",
+       "      <td>81.398729</td>\n",
+       "      <td>59.3157</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>30.716823</td>\n",
+       "      <td>102.788981</td>\n",
+       "      <td>54.844047</td>\n",
        "      <td>180.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -2684,15 +2320,22 @@
        "</div>"
       ],
       "text/plain": [
-       "            Set 1  Set 2  Set 3  Set 4  Set 5  Mean  Observed discharge\n",
-       "1995-01-02    0.0    0.0    0.0    0.0    0.0   0.0               196.0\n",
-       "1995-01-03    0.0    0.0    0.0    0.0    0.0   0.0               194.0\n",
-       "1995-01-04    0.0    0.0    0.0    0.0    0.0   0.0               191.0\n",
-       "1995-01-05    0.0    0.0    0.0    0.0    0.0   0.0               186.0\n",
-       "1995-01-06    0.0    0.0    0.0    0.0    0.0   0.0               180.0"
+       "                Set 1    Set 2  Set 3      Set 4       Set 5       Mean  \\\n",
+       "1995-01-02  81.398729  59.3157    0.0  30.716823  102.788981  54.844047   \n",
+       "1995-01-03  81.398729  59.3157    0.0  30.716823  102.788981  54.844047   \n",
+       "1995-01-04  81.398729  59.3157    0.0  30.716823  102.788981  54.844047   \n",
+       "1995-01-05  81.398729  59.3157    0.0  30.716823  102.788981  54.844047   \n",
+       "1995-01-06  81.398729  59.3157    0.0  30.716823  102.788981  54.844047   \n",
+       "\n",
+       "            Observed discharge  \n",
+       "1995-01-02               196.0  \n",
+       "1995-01-03               194.0  \n",
+       "1995-01-04               191.0  \n",
+       "1995-01-05               186.0  \n",
+       "1995-01-06               180.0  "
       ]
      },
-     "execution_count": 109,
+     "execution_count": 49,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2703,346 +2346,22 @@
     "    reference_data=ensemble_data_ERA5,\n",
     "    start_date=evaluation_start,\n",
     "    end_date=validation_end_date,\n",
-    "    n=1000\n",
-    ")\n",
+    "    n=1000)\n",
     "\n",
     "ensemble_data_CMIP_corrected.head()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 110,
+   "execution_count": null,
    "id": "63008778-e23d-4fae-b8f9-f61c789934d7",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">observed     <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">532.0</span>\n",
-       "modelmean    <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">770.0</span>\n",
-       "set_1        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">946.0</span>\n",
-       "set_2        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">769.0</span>\n",
-       "set_3        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">772.0</span>\n",
-       "set_4        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">716.0</span>\n",
-       "set_5        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">671.0</span>\n",
-       "set_avg      <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">776.0</span>\n",
-       "dtype: float64\n",
-       "</pre>\n"
-      ],
-      "text/plain": [
-       "observed     \u001b[1;36m532.0\u001b[0m\n",
-       "modelmean    \u001b[1;36m770.0\u001b[0m\n",
-       "set_1        \u001b[1;36m946.0\u001b[0m\n",
-       "set_2        \u001b[1;36m769.0\u001b[0m\n",
-       "set_3        \u001b[1;36m772.0\u001b[0m\n",
-       "set_4        \u001b[1;36m716.0\u001b[0m\n",
-       "set_5        \u001b[1;36m671.0\u001b[0m\n",
-       "set_avg      \u001b[1;36m776.0\u001b[0m\n",
-       "dtype: float64\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>year</th>\n",
-       "      <th>observed</th>\n",
-       "      <th>modelmean</th>\n",
-       "      <th>set_1</th>\n",
-       "      <th>set_2</th>\n",
-       "      <th>set_3</th>\n",
-       "      <th>set_4</th>\n",
-       "      <th>set_5</th>\n",
-       "      <th>set_avg</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1996</td>\n",
-       "      <td>0</td>\n",
-       "      <td>119</td>\n",
-       "      <td>119</td>\n",
-       "      <td>118</td>\n",
-       "      <td>115</td>\n",
-       "      <td>118</td>\n",
-       "      <td>125</td>\n",
-       "      <td>119.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1997</td>\n",
-       "      <td>0</td>\n",
-       "      <td>46</td>\n",
-       "      <td>56</td>\n",
-       "      <td>42</td>\n",
-       "      <td>41</td>\n",
-       "      <td>43</td>\n",
-       "      <td>45</td>\n",
-       "      <td>45.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>1998</td>\n",
-       "      <td>44</td>\n",
-       "      <td>11</td>\n",
-       "      <td>20</td>\n",
-       "      <td>10</td>\n",
-       "      <td>10</td>\n",
-       "      <td>8</td>\n",
-       "      <td>10</td>\n",
-       "      <td>12.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>1999</td>\n",
-       "      <td>35</td>\n",
-       "      <td>49</td>\n",
-       "      <td>56</td>\n",
-       "      <td>48</td>\n",
-       "      <td>49</td>\n",
-       "      <td>44</td>\n",
-       "      <td>41</td>\n",
-       "      <td>48.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>2000</td>\n",
-       "      <td>20</td>\n",
-       "      <td>36</td>\n",
-       "      <td>47</td>\n",
-       "      <td>35</td>\n",
-       "      <td>35</td>\n",
-       "      <td>34</td>\n",
-       "      <td>33</td>\n",
-       "      <td>37.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>2001</td>\n",
-       "      <td>60</td>\n",
-       "      <td>0</td>\n",
-       "      <td>8</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>2002</td>\n",
-       "      <td>52</td>\n",
-       "      <td>3</td>\n",
-       "      <td>17</td>\n",
-       "      <td>1</td>\n",
-       "      <td>4</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>5.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>2003</td>\n",
-       "      <td>51</td>\n",
-       "      <td>38</td>\n",
-       "      <td>54</td>\n",
-       "      <td>44</td>\n",
-       "      <td>44</td>\n",
-       "      <td>20</td>\n",
-       "      <td>12</td>\n",
-       "      <td>35.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>2004</td>\n",
-       "      <td>5</td>\n",
-       "      <td>59</td>\n",
-       "      <td>70</td>\n",
-       "      <td>63</td>\n",
-       "      <td>64</td>\n",
-       "      <td>49</td>\n",
-       "      <td>37</td>\n",
-       "      <td>57.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>2005</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>6</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>10</th>\n",
-       "      <td>2006</td>\n",
-       "      <td>42</td>\n",
-       "      <td>52</td>\n",
-       "      <td>64</td>\n",
-       "      <td>49</td>\n",
-       "      <td>55</td>\n",
-       "      <td>46</td>\n",
-       "      <td>38</td>\n",
-       "      <td>50.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>11</th>\n",
-       "      <td>2007</td>\n",
-       "      <td>25</td>\n",
-       "      <td>43</td>\n",
-       "      <td>53</td>\n",
-       "      <td>39</td>\n",
-       "      <td>43</td>\n",
-       "      <td>44</td>\n",
-       "      <td>30</td>\n",
-       "      <td>42.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>12</th>\n",
-       "      <td>2008</td>\n",
-       "      <td>37</td>\n",
-       "      <td>44</td>\n",
-       "      <td>44</td>\n",
-       "      <td>60</td>\n",
-       "      <td>47</td>\n",
-       "      <td>42</td>\n",
-       "      <td>52</td>\n",
-       "      <td>49.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>13</th>\n",
-       "      <td>2009</td>\n",
-       "      <td>42</td>\n",
-       "      <td>21</td>\n",
-       "      <td>37</td>\n",
-       "      <td>17</td>\n",
-       "      <td>21</td>\n",
-       "      <td>21</td>\n",
-       "      <td>15</td>\n",
-       "      <td>22.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>14</th>\n",
-       "      <td>2010</td>\n",
-       "      <td>6</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>15</th>\n",
-       "      <td>2011</td>\n",
-       "      <td>36</td>\n",
-       "      <td>6</td>\n",
-       "      <td>34</td>\n",
-       "      <td>6</td>\n",
-       "      <td>7</td>\n",
-       "      <td>4</td>\n",
-       "      <td>1</td>\n",
-       "      <td>10.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>16</th>\n",
-       "      <td>2012</td>\n",
-       "      <td>13</td>\n",
-       "      <td>97</td>\n",
-       "      <td>101</td>\n",
-       "      <td>98</td>\n",
-       "      <td>96</td>\n",
-       "      <td>96</td>\n",
-       "      <td>93</td>\n",
-       "      <td>97.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>17</th>\n",
-       "      <td>2013</td>\n",
-       "      <td>21</td>\n",
-       "      <td>135</td>\n",
-       "      <td>133</td>\n",
-       "      <td>138</td>\n",
-       "      <td>136</td>\n",
-       "      <td>135</td>\n",
-       "      <td>136</td>\n",
-       "      <td>136.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>18</th>\n",
-       "      <td>2014</td>\n",
-       "      <td>43</td>\n",
-       "      <td>11</td>\n",
-       "      <td>27</td>\n",
-       "      <td>1</td>\n",
-       "      <td>5</td>\n",
-       "      <td>11</td>\n",
-       "      <td>3</td>\n",
-       "      <td>9.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "    year  observed  modelmean  set_1  set_2  set_3  set_4  set_5  set_avg\n",
-       "0   1996         0        119    119    118    115    118    125    119.0\n",
-       "1   1997         0         46     56     42     41     43     45     45.0\n",
-       "2   1998        44         11     20     10     10      8     10     12.0\n",
-       "3   1999        35         49     56     48     49     44     41     48.0\n",
-       "4   2000        20         36     47     35     35     34     33     37.0\n",
-       "5   2001        60          0      8      0      0      0      0      2.0\n",
-       "6   2002        52          3     17      1      4      1      0      5.0\n",
-       "7   2003        51         38     54     44     44     20     12     35.0\n",
-       "8   2004         5         59     70     63     64     49     37     57.0\n",
-       "9   2005         0          0      6      0      0      0      0      1.0\n",
-       "10  2006        42         52     64     49     55     46     38     50.0\n",
-       "11  2007        25         43     53     39     43     44     30     42.0\n",
-       "12  2008        37         44     44     60     47     42     52     49.0\n",
-       "13  2009        42         21     37     17     21     21     15     22.0\n",
-       "14  2010         6          0      0      0      0      0      0      0.0\n",
-       "15  2011        36          6     34      6      7      4      1     10.0\n",
-       "16  2012        13         97    101     98     96     96     93     97.0\n",
-       "17  2013        21        135    133    138    136    135    136    136.0\n",
-       "18  2014        43         11     27      1      5     11      3      9.0"
-      ]
-     },
-     "execution_count": 110,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "lowflow_CMIP_corrected = lowflow_counter_ensemble(\n",
     "    ensemble_data=ensemble_data_CMIP_corrected,\n",
     "    start_date=evaluation_start,\n",
-    "    end_date=validation_end_date\n",
-    ")\n",
+    "    end_date=validation_end_date)\n",
     "\n",
     "lowflow_CMIP_corrected"
    ]
diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step7_CMIP_Projections.ipynb b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step7_CMIP_Projections.ipynb
index 4692dde8..fd18b0e6 100644
--- a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step7_CMIP_Projections.ipynb
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step7_CMIP_Projections.ipynb
@@ -30,7 +30,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 18,
    "id": "71668e92-f5c4-49b2-9eed-20f91997c193",
    "metadata": {},
    "outputs": [],
@@ -54,7 +54,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 19,
    "id": "f2135c0b-ba31-4f05-bf37-435a99b1788f",
    "metadata": {},
    "outputs": [],
@@ -67,7 +67,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 20,
    "id": "c5166bb7-f81f-4967-a65a-d1933464ce7f",
    "metadata": {},
    "outputs": [],
@@ -83,13 +83,32 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 59,
    "id": "6880e7f0-2609-4c3f-82bd-c2440981fa72",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[1989]"
+      ]
+     },
+     "execution_count": 59,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
+    "# Define only future scenarios\n",
     "scenarios = [\"ssp126\", \"ssp245\", \"ssp370\"]\n",
     "\n",
+    "# Redefine scenarios to include historical\n",
+    "scenarios_new = [\"historical\", \"ssp126\", \"ssp245\", \"ssp370\"]\n",
+    "\n",
+    "# Attach colours to scenarios to make plotting easier \n",
+    "colours = {\"historical\": \"black\", \"ssp126\": \"green\", \"ssp245\": \"blue\", \"ssp370\": \"orange\"}\n",
+    "\n",
+    "# Define periods\n",
     "periods = [[2025, 2050, 2075],\n",
     "           [2050, 2075, 2099]]\n",
     "\n",
@@ -98,7 +117,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 22,
    "id": "c398fe4d-66fb-430a-8f82-ad85e924f592",
    "metadata": {},
    "outputs": [],
@@ -121,7 +140,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 23,
    "id": "a7bab7da-b7e7-442c-b4b0-e5c3b0ededcb",
    "metadata": {},
    "outputs": [],
@@ -141,7 +160,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 161,
+   "execution_count": 24,
    "id": "1bd0e989-16f3-4cd9-81b7-dcfaf582cc7d",
    "metadata": {},
    "outputs": [],
@@ -178,7 +197,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 25,
    "id": "d776ff36-b69a-4321-9468-d4fa85350ef3",
    "metadata": {},
    "outputs": [],
@@ -190,8 +209,7 @@
     "    [7.35776, 0.432509, 192.67085, 1.66088, 0.289296, 5.323766, 0.037268, 0.004399, 1.146504],\n",
     "    [7.9355, 0.4593, 219.6962, 1.72624, 0.26391, 5.810765, 0.04804, 0.0155065, 0.76857],\n",
     "    [5.5464, 0.46496, 187.8548, 1.82803, 0.440628, 6.29496, 0.062766, 0.033095, 0.80392],\n",
-    "   [7.23868, 0.47495, 181.82012, 1.8232, 0.4884032, 5.546412, 0.0449439, 0.00231717, 1.25052]\n",
-    "]\n",
+    "   [7.23868, 0.47495, 181.82012, 1.8232, 0.4884032, 5.546412, 0.0449439, 0.00231717, 1.25052]]\n",
     "\n",
     "\n",
     "par_names = [\"Imax\",         # Maximum interception storage\n",
@@ -207,7 +225,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 26,
    "id": "c60f825e-520a-4b00-83ab-16bdcfe60471",
    "metadata": {},
    "outputs": [],
@@ -228,7 +246,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 27,
    "id": "70664027-bb24-47cc-814d-eb8eccbc1715",
    "metadata": {},
    "outputs": [],
@@ -281,7 +299,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 28,
    "id": "1dab11de-a9f9-4e58-bc05-29926875e2d0",
    "metadata": {},
    "outputs": [],
@@ -344,7 +362,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 29,
    "id": "2a55954f-3927-4a02-b641-f4ba5fc3725a",
    "metadata": {},
    "outputs": [],
@@ -408,7 +426,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 162,
+   "execution_count": 30,
    "id": "61884551-cc91-4478-bb2d-73eba100630b",
    "metadata": {},
    "outputs": [],
@@ -445,7 +463,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 163,
+   "execution_count": 31,
    "id": "18c80e0a-3c39-4ec4-91b7-49a5190ee3fd",
    "metadata": {},
    "outputs": [
@@ -503,7 +521,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 32,
    "id": "33bdfa38-cac6-4eda-8f0e-143e163eea2a",
    "metadata": {},
    "outputs": [],
@@ -542,7 +560,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 33,
    "id": "a0bb6899-63e2-41b2-b83e-33a89203d9e1",
    "metadata": {},
    "outputs": [
@@ -1302,7 +1320,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 34,
    "id": "f13aa66c-90fc-4de7-b2ca-42c2da16cd04",
    "metadata": {},
    "outputs": [],
@@ -1336,7 +1354,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 35,
    "id": "6c40d31a-ab6c-44b7-94f1-e7d538328252",
    "metadata": {},
    "outputs": [
@@ -1404,7 +1422,7 @@
        "2   ssp370                  27         34         45         49"
       ]
      },
-     "execution_count": 19,
+     "execution_count": 35,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1428,7 +1446,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 155,
+   "execution_count": 36,
    "id": "2c509444-3614-42ec-b218-bfff12a5ea31",
    "metadata": {},
    "outputs": [],
@@ -1501,7 +1519,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 156,
+   "execution_count": 39,
    "id": "61d5ad70-380e-4e98-9f78-6c366cfe45a6",
    "metadata": {},
    "outputs": [
@@ -1534,7 +1552,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 40,
    "id": "88c401d0-39ee-48d8-b048-c0f3d09f3efa",
    "metadata": {},
    "outputs": [],
@@ -1580,7 +1598,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 41,
    "id": "4092c20d-19a6-4245-bfc9-a83ae151ba62",
    "metadata": {},
    "outputs": [
@@ -1612,7 +1630,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 42,
    "id": "ad7d2cbb-351d-4481-bb8b-4fde80893fe7",
    "metadata": {},
    "outputs": [],
@@ -1652,7 +1670,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 43,
    "id": "09a29265-5d22-4916-874e-270a2107fd53",
    "metadata": {},
    "outputs": [
@@ -1728,7 +1746,7 @@
        "2   ssp370  42.8    43.0  43.0  63.0  93.2  130.0"
       ]
      },
-     "execution_count": 23,
+     "execution_count": 43,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1763,7 +1781,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 44,
    "id": "e09f5155-fc3a-4156-92e0-664a55cc8539",
    "metadata": {},
    "outputs": [],
@@ -1848,7 +1866,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 123,
+   "execution_count": 45,
    "id": "d1a5a1ba-05ce-400f-8ab9-a60bec0bfdc5",
    "metadata": {},
    "outputs": [],
@@ -1917,7 +1935,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 124,
+   "execution_count": 46,
    "id": "f076a095-0bbd-4053-887e-df115ac18a1b",
    "metadata": {},
    "outputs": [
@@ -2003,7 +2021,7 @@
        "4  historical  1989-2014  1993  evspsblpot  594.841425"
       ]
      },
-     "execution_count": 124,
+     "execution_count": 46,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2016,7 +2034,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 125,
+   "execution_count": 47,
    "id": "7e9707fe-3fec-4f72-b9bb-bff4fe01ed6e",
    "metadata": {},
    "outputs": [],
@@ -2038,7 +2056,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 48,
    "id": "3f47b648-0f62-4c96-a290-4da99c2edb07",
    "metadata": {},
    "outputs": [],
@@ -2054,7 +2072,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 49,
    "id": "4bdf8aaa-e8a3-4f5d-b062-91a50ee41317",
    "metadata": {},
    "outputs": [
@@ -2179,7 +2197,7 @@
        "         2075-2099       656.9  645.7  136.6  5.4"
       ]
      },
-     "execution_count": 44,
+     "execution_count": 49,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2200,17 +2218,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 106,
+   "execution_count": 50,
    "id": "f0f860cc-2ac2-4d44-b941-3a255012355b",
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Redefine scenarios to include historical\n",
-    "scenarios_new = [\"historical\", \"ssp126\", \"ssp245\", \"ssp370\"]\n",
-    "\n",
-    "# Attach colours to scenarios to make plotting easier \n",
-    "colours = {\"historical\": \"black\", \"ssp126\": \"green\", \"ssp245\": \"blue\", \"ssp370\": \"orange\"}\n",
-    "\n",
     "def plot_annual_forcing_variable(annual_forcing_table, var_name):\n",
     "\n",
     "    # Combine historical and scenarios\n",
@@ -2300,7 +2312,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 107,
+   "execution_count": 51,
    "id": "723362df-4c18-43a7-ae31-b584ff01198f",
    "metadata": {},
    "outputs": [
@@ -2351,6 +2363,153 @@
     "    plot_annual_forcing_variable(annual_table, var_name)"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 68,
+   "id": "e1accf91-c0cc-42ca-9b93-d01fafd0a457",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def plot_annual_forcing_variable_fulltrend(annual_forcing_table, var_name):\n",
+    "\n",
+    "    # Combine historical and scenarios\n",
+    "    annual_forcing_table_all = pd.concat([annual_hist_table, annual_forcing_table],ignore_index=True)\n",
+    "    data = annual_forcing_table_all[annual_forcing_table_all[\"variable\"] == var_name]\n",
+    "    \n",
+    "    plt.figure(figsize=(9, 5))\n",
+    "    \n",
+    "    # Loop through scenarios\n",
+    "    for scenario in scenarios_new:\n",
+    "\n",
+    "        # Extract one scenario and colour \n",
+    "        scenario_data = data[data[\"scenario\"] == scenario]\n",
+    "        colour = colours[scenario]\n",
+    "\n",
+    "        # # Plot historical \n",
+    "        # if scenario == \"historical\":\n",
+    "            \n",
+    "        # Plot yearly average \n",
+    "        plt.plot(scenario_data[\"year\"],scenario_data[\"value\"],color=colour,linewidth=0.3,label=scenario)\n",
+    "\n",
+    "        x = scenario_data[\"year\"].values\n",
+    "        y = scenario_data[\"value\"].values\n",
+    "\n",
+    "        # Polyfit method for making trendline function\n",
+    "        slope, intercept = np.polyfit(x, y, 1)\n",
+    "        trend = slope * x + intercept\n",
+    "\n",
+    "        # Plot trendline\n",
+    "        plt.plot(x,trend,linestyle=\"--\",color=colour)\n",
+    "\n",
+    "        # # Plot other scenarios\n",
+    "        # else:\n",
+    "\n",
+    "        #     # Plot yearly average\n",
+    "        #     plt.plot(scenario_data[\"year\"],scenario_data[\"value\"],alpha=0.3,color=colour,label=scenario)\n",
+    "\n",
+    "        # # Look at each 25 year period\n",
+    "        # for i in range(len(periods[0])):\n",
+    "\n",
+    "        #     # Define period range\n",
+    "        #     start_year = periods[0][i]\n",
+    "        #     end_year = periods[1][i]\n",
+    "\n",
+    "        #     # Adjust data to fit period range\n",
+    "        #     period_data = scenario_data[\n",
+    "        #     (scenario_data[\"year\"] >= start_year) & \n",
+    "        #     (scenario_data[\"year\"] <= end_year)]\n",
+    "\n",
+    "        #     # Plot trend line over each 25 year period\n",
+    "        #     if len(period_data) > 1:\n",
+    "\n",
+    "        #         x = period_data[\"year\"].values\n",
+    "        #         y = period_data[\"value\"].values\n",
+    "\n",
+    "        #         # Polyfit method for making trendline function\n",
+    "        #         slope, intercept = np.polyfit(x, y, 1)\n",
+    "        #         trend = slope * x + intercept\n",
+    "\n",
+    "        #         # Plot trendline\n",
+    "        #         plt.plot(x,trend,linestyle=\"--\",color=colour)\n",
+    "\n",
+    "    # Define titles and labels based on var_name\n",
+    "    if var_name == \"pr\":\n",
+    "        ylabel = \"Annual precipitation (mm/year)\"\n",
+    "        title = \"Annual precipitation in LAR basin by climate scenario\"\n",
+    "\n",
+    "    elif var_name == \"evspsblpot\":\n",
+    "        ylabel = \"Annual potential evaporation (mm/year)\"\n",
+    "        title = \"Annual potential evaporation in LAR basin by climate scenario\"\n",
+    "\n",
+    "    elif var_name == \"tas\":\n",
+    "        ylabel = \"Annual mean temperature increase (°C)\"\n",
+    "        title = \"Annual mean temperature in LAR basin by climate scenario\"\n",
+    "\n",
+    "    elif var_name == \"rsds\":\n",
+    "        ylabel = \"Annual mean shortwave radiation (W/m²)\"\n",
+    "        title = \"Annual mean shortwave radiation in LAR basin by climate scenario\"\n",
+    "\n",
+    "    plt.xlabel(\"Year\")\n",
+    "    plt.ylabel(ylabel)\n",
+    "    plt.title(title)\n",
+    "    plt.grid(True)\n",
+    "    plt.legend()\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 69,
+   "id": "ca7627a2-2243-4402-9575-079e1f767d5f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 900x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 900x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 900x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 900x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Run function to display plots for each var_name\n",
+    "for var_name in [\"pr\", \"tas\", \"rsds\", \"evspsblpot\"]:\n",
+    "    plot_annual_forcing_variable_fulltrend(annual_table, var_name)"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -2393,7 +2552,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 170,
+   "execution_count": 52,
    "id": "65d86b26-ecbd-48fd-a80a-2eedad4cd1b3",
    "metadata": {},
    "outputs": [],
@@ -2473,7 +2632,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 171,
+   "execution_count": 60,
    "id": "9df30415-2797-4600-8d2f-3912afba94a9",
    "metadata": {},
    "outputs": [
@@ -2604,7 +2763,7 @@
        "[251 rows x 4 columns]"
       ]
      },
-     "execution_count": 171,
+     "execution_count": 60,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2622,7 +2781,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 178,
+   "execution_count": 61,
    "id": "97f168cf-da9e-493f-8714-11f0066a7903",
    "metadata": {},
    "outputs": [],
@@ -2680,7 +2839,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 179,
+   "execution_count": 62,
    "id": "a6986d98-c133-4875-91f5-2dda53e802eb",
    "metadata": {},
    "outputs": [
@@ -2688,8 +2847,8 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_177225/4162535211.py:17: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n",
-      "/tmp/ipykernel_177225/4162535211.py:34: FutureWarning: The default value of observed=False is deprecated and will change to observed=True in a future version of pandas. Specify observed=False to silence this warning and retain the current behavior\n"
+      "/tmp/ipykernel_144710/4162535211.py:17: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n",
+      "/tmp/ipykernel_144710/4162535211.py:34: FutureWarning: The default value of observed=False is deprecated and will change to observed=True in a future version of pandas. Specify observed=False to silence this warning and retain the current behavior\n"
      ]
     },
     {
@@ -2733,7 +2892,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 135,
+   "execution_count": 63,
    "id": "4fcf6ad4-1157-4fbe-b859-fc6dbd2ba79a",
    "metadata": {},
    "outputs": [],
@@ -2808,7 +2967,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 184,
+   "execution_count": 66,
    "id": "d28d2ac0-7eeb-4027-85c4-88fd4c498611",
    "metadata": {},
    "outputs": [
@@ -2951,7 +3110,7 @@
        "[251 rows x 5 columns]"
       ]
      },
-     "execution_count": 184,
+     "execution_count": 66,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2959,8 +3118,8 @@
    "source": [
     "freezeup_dates_future = find_freezeup_dates(\n",
     "    forcing_data=forcing_data,\n",
-    "    start_year=2025,\n",
-    "    end_year=2099,\n",
+    "    start_year_fut=2025,\n",
+    "    end_year_fut=2099,\n",
     "    start_year_hist=1989,\n",
     "    end_year_hist=2014)\n",
     "\n",
@@ -2977,7 +3136,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 185,
+   "execution_count": 67,
    "id": "9ccf8722-04a8-4903-b2cf-a4fd4d08535b",
    "metadata": {},
    "outputs": [
@@ -2985,8 +3144,8 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_177225/4162535211.py:17: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n",
-      "/tmp/ipykernel_177225/4162535211.py:34: FutureWarning: The default value of observed=False is deprecated and will change to observed=True in a future version of pandas. Specify observed=False to silence this warning and retain the current behavior\n"
+      "/tmp/ipykernel_144710/4162535211.py:17: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n",
+      "/tmp/ipykernel_144710/4162535211.py:34: FutureWarning: The default value of observed=False is deprecated and will change to observed=True in a future version of pandas. Specify observed=False to silence this warning and retain the current behavior\n"
      ]
     },
     {

From 1265a6f3c3cd6bba6ff167af40abb3c30772c658 Mon Sep 17 00:00:00 2001
From: Maxime <mxdebekker@gmail.com>
Date: Mon, 22 Jun 2026 16:34:07 +0200
Subject: [PATCH 21/24] eWaterCycle Report

---
 .../Report/00_Abstract.ipynb                  |   59 +
 .../Report/0_Preface.ipynb                    |   54 +
 .../Report/2_LiteratureStudy.ipynb            |  112 ++
 .../3_Determination_of_navigable_season.ipynb |  550 +++++
 .../4_Calibration_of_the_HBV_model.ipynb      | 1124 +++++++++++
 .../Report/5_Climate_scenarios.ipynb          |  586 ++++++
 .../Report/6_Results.ipynb                    | 1788 +++++++++++++++++
 .../Report/7_Discussion.ipynb                 |   75 +
 .../Report/8_Conclusion.ipynb                 |   81 +
 .../Report/AI_Statement.ipynb                 |   49 +
 .../Report/Figures/HBV_Visualisation.jpg      |  Bin 0 -> 68351 bytes
 .../Report/Figures/Map_LARbasin.jpg           |  Bin 0 -> 92652 bytes
 .../Figures/Map_LARbasin_criticalloc.jpg      |  Bin 0 -> 102040 bytes
 .../Report/Figures/Workflow_diagram.jpg       |  Bin 0 -> 62672 bytes
 .../Report/Reference_list.ipynb               |  107 +
 15 files changed, 4585 insertions(+)
 create mode 100644 book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/00_Abstract.ipynb
 create mode 100644 book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/0_Preface.ipynb
 create mode 100644 book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/2_LiteratureStudy.ipynb
 create mode 100644 book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/3_Determination_of_navigable_season.ipynb
 create mode 100644 book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/4_Calibration_of_the_HBV_model.ipynb
 create mode 100644 book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/5_Climate_scenarios.ipynb
 create mode 100644 book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/6_Results.ipynb
 create mode 100644 book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/7_Discussion.ipynb
 create mode 100644 book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/8_Conclusion.ipynb
 create mode 100644 book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/AI_Statement.ipynb
 create mode 100644 book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Figures/HBV_Visualisation.jpg
 create mode 100644 book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Figures/Map_LARbasin.jpg
 create mode 100644 book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Figures/Map_LARbasin_criticalloc.jpg
 create mode 100644 book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Figures/Workflow_diagram.jpg
 create mode 100644 book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Reference_list.ipynb

diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/00_Abstract.ipynb b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/00_Abstract.ipynb
new file mode 100644
index 00000000..61c69875
--- /dev/null
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/00_Abstract.ipynb
@@ -0,0 +1,59 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "b1ad5b62-b24a-42e4-97ea-cc7d4979d955",
+   "metadata": {},
+   "source": [
+    "# Abstract"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ecbdf121-e5b2-4ef6-b4db-e49671e529a6",
+   "metadata": {},
+   "source": [
+    "Climate change is expected to alter discharge patterns in cold region river basins, affecting both low flow conditions and river ice processes. This study investigates how climate exchange may impact discharge in the Lower Athabasca River in Alberta, Canada and what implications this has for navigation. The river is important for Indigenous communities who use navigation for transportation of resources, hunting and fishing. \n",
+    "\n",
+    "To assess navigation constraints, a critical discharge threshold of 500 m3/s at Fort McMurray was used, representing conditions where navigation is restricted at 8 critical locations throughout the rivers. An algorithm was developed to identify when the river breaks and freezes up. This defined the narrowest fixed open water season to occur from 18 May to 17 October. The hydrological HBV model was calibrated and validated using observed discharge data and ERA5 forcing data. The model was then run using CMIP6 MPI-ESM1-2-HR forcing data under future climate scenarios SSP126, SSP245 and SSP370 for the period 2025-2099, where:\n",
+    "\n",
+    "- SSP126: Optimistic climate approach, global temperatures expected to increase by 1,8 ℃.\n",
+    "- SSP245: Limited climate action, global temperatures expected to increase by 2,7 ℃.\n",
+    "- SSP370: Large global disparities, global temperatures expected to increase by 3,7 ℃.\n",
+    "\n",
+    "The results show that annual low flow days are generally higher in the future compared to the historical period. The observed period contains an average of 27 annual low flow days, while future periods range between 31 and 49 annual low flow days depending on the climate scenario. SSP370 shows a weak increasing trend over time. Extreme low flow years become more frequent in all future scenarios. The open water season is also projected to expand, with earlier river ice break up and later freeze up.\n",
+    "\n",
+    "These results indicate that climate change is expected to increase navigation constraints in the Lower Athabasca River, especially under SSP370."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d3aecf90-e4f1-42e9-9e03-711a8a8fb34b",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/0_Preface.ipynb b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/0_Preface.ipynb
new file mode 100644
index 00000000..d4679e07
--- /dev/null
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/0_Preface.ipynb
@@ -0,0 +1,54 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "5d9f1370-1b4b-4cad-aad3-fa7bdf6f6a57",
+   "metadata": {},
+   "source": [
+    "# Preface"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cb620af6-0a59-4e8c-9b01-d3fd09075cef",
+   "metadata": {},
+   "source": [
+    "This report is a bachelor thesis for the BSc Civil Engineering at the Delft University of Technology. The topic was to investigate the impact of climate change on a river of choice. My interest in cold regions and unique processes that occur in these environments inspired me to focus on rivers in Canada. This led to the investigation of the Lower Athabasca River, where climate change may affect low flow conditions, river ice processes and navigation. The relevance of this topic is strengthened by the dependence of Indigenous communities on the river for transportation, hunting and fishing. \n",
+    "\n",
+    "First, I would like to thank my supervisors Dr. Ir. R.W. Hut and Dr. Ir. G.H.W. Schoups for their support and guidance throughout the thesis. I am also grateful to Ir. M. Melotto for technical guidance regarding the usage of eWaterCycle and for providing insights into computational hydrological modelling. Furthermore, I would like to thank my fellow bachelor students Beau Buijtenhuijs, Julian Steenhuisen and Niels Eijer for meaningful discussions about our projects. \n",
+    "\n",
+    "*Delft, June 2026*  \n",
+    "*Maxime de Bekker*\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a108a988-8f7c-4c2f-b445-4263dd7f02bd",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/2_LiteratureStudy.ipynb b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/2_LiteratureStudy.ipynb
new file mode 100644
index 00000000..261f61db
--- /dev/null
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/2_LiteratureStudy.ipynb
@@ -0,0 +1,112 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "9d734e3f-cde3-460d-9ab0-dd11484b6fe4",
+   "metadata": {},
+   "source": [
+    "# 2. Literature Study"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9f6b5935-1dbd-494c-af83-75d1e6ebec37",
+   "metadata": {},
+   "source": [
+    "## 2.1 Background "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c091e444-345d-4c2e-95b6-133bb8908199",
+   "metadata": {},
+   "source": [
+    "The Lower Athabasca River spans 200km and is located in northern Alberta, Canada. It forms the downstream part of the 1200 km Athabasca River (see Figure 2) originating from Jasper National Park in the Rockies and meets at Fort McMurray (Athabasca Watershed Council, 2026). The river feeds Lake Athabasca and ends up in the McKenzie River further downstream. The river basin is largely influenced by cold region hydrological processes, namely, snow accumulation, snowmelt and to a lesser extent, glacial melt (Kashyap, 2022). In the river basin feeding Fort McMurray, the mean precipitation contribution between 1991-2020 consisted 78% of rainfall and 22% snowfall (Government of Canada, n.d.). This is a decrease in snowfall contribution from 25% between 1981-2010 and 1971-2000, and 28% between 1961-1990 (Government of Canada, n.d.). See Appendix A for a snow cover depletion curve over time. Glacial melt contributes to 3,9% of annual discharge at Hinton, upstream of the Athabasca River and is projected to increase to 5,7% over 2071-2100 under RCP 8.5 (Chernos et al., 2020). As Fort McMurray lies much farther downstream and covers a much larger river basin of 132.000 km2, the relative contribution of glacial melt is expected to be much lower. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0dec4b03-20e3-4a22-90a9-4f1569e38179",
+   "metadata": {},
+   "source": [
+    "<figure>\n",
+    "  <img src=\"Figures/Map_LARbasin.jpg\">\n",
+    "  <figcaption><b>Figure 2:</b> Map of Athabasca River Basin (Aryal, et al., 2023).</figcaption>\n",
+    "</figure>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e8e60463-0966-4913-af23-73e282d8a6e1",
+   "metadata": {},
+   "source": [
+    "Hydrological processes occurring in the LAR are strongly seasonal. Ice cover typically forms along the LAR in early November and remains until late April or early May, when it breaks up due to warming temperatures and snowmelt runoff (Peters et al., 2023). During break up, ice jams can occur which is when a large chunk of ice acts as a temporary dam often leading to rapid, unpredictable streams (Nottawasaga Valley Conservation Authority, 2026). These are most likely to occur farther upstream in narrow mountainous streams. In April 2020, a large ice jam caused severe flooding around Fort McMurray affecting 13.000 people (Canadian Red Cross, n.d.). Although freeze up and break up is not the main focus of this study, they are useful in defining the open water navigation season for which low flow days are analysed (See chapter 3). Ice jams are usually unpredictable and may influence the accuracy of the model used in this study.\n",
+    "\n",
+    "Boreal and Taiga regions make up a large part of the Athabasca River Basin which may contain potholes (Ecosystems Classifications Group, 2008).  According to D. Eythorsson, these potholes can store water locally, creating non-contributing areas, limiting drainage from snowmelt or precipitation to the receiving rivers (personal communication, 2026). When the potholes are filled, all overflown water will drain into the river. This may introduce conceptual model challenges or errors when not accounted for (personal communication, 2026; Faramarzi et al., 2015). \n",
+    "\n",
+    "Finally, the region is also affected by oil sands industries near Fort McMurray who take up to 4,4% of annual water flow to produce Bitumen (Axelrod, J., 2015). Extraction limits are present during low flow conditions (Alberta Environment and Parks, 2026). Current withdrawals are expected to reduce water depth by under 0,02 m (Peters et al., 2023), having very little influence on navigation on the LAR during low flow (Canada, T., 2020) but rather on water quality (Normand, G., et al., 2018). "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1be3ced0-4600-4263-89a0-2d43e7d19b44",
+   "metadata": {},
+   "source": [
+    "## 2.2 Determination of critical threshold"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "163811ce-5cc8-4223-94d0-dfe18a99ca84",
+   "metadata": {},
+   "source": [
+    "To analyse low flow navigation constraints, a critical discharge threshold must be defined. Critical depth depends on vessel type, loading condition and local channel bathymetry. The standard of navigation used by indigenous communities is considered a fully loaded vessel (loaded after a hunt or with resources) with a trapping cabin and an outboard motor (Candler et al., 2010). The safe navigational depth for this type of boat is approximated to be 1,2 meters (Candler et al., 2010; Kashyap et al., 2022). \n",
+    "\n",
+    "In order to utilise this depth threshold for modelling, a critical discharge must be determined. For this, the Aboriginal Navigational Index (ANI) is used. The ANI links discharge at Fort McMurray to navigation conditions along the Lower Athabasca River by evaluating water depths at known critical navigation sites (Kashyap et al., 2022). Transport Canada investigated the 200 km reach between Fort McMurray and Embarras Portage, selecting 11 high risk sites for detailed field survey (2020). These were selected from a larger set of 35 concern sites identified through indigenous consultation and channel characteristics (Transport Canada, 2020). As a result, it was found that at a critical discharge of 500 m3/s at Fort McMurray, 8 of 11 sites experienced water depths below 1,2 m (See Figure 3 for a location of the 8 critical sites). Besides these critical sites, low flow may be experienced in distributary channels too. This threshold is also supported by the Mikisew Cree First Nation who stated navigation is significantly hindered between 450-500 m3/s at Fort McMurray (2016).\n",
+    "\n",
+    "The critical threshold for this study is therefore taken to be:   \n",
+    "$Q_{critical}=500  [m^3/s]$"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "652949b8-f321-42e8-b9b2-1d0644e095df",
+   "metadata": {},
+   "source": [
+    "<figure>\n",
+    "  <img src=\"Figures/Map_LARbasin_criticalloc.jpg\">\n",
+    "  <figcaption><b>Figure 3:</b>Map of LAR showing critical locations for navigation (Adapted from DSI, 2019).</figcaption>\n",
+    "</figure>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "fbb61cce-15bb-4f90-9613-036c7a6aacb8",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/3_Determination_of_navigable_season.ipynb b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/3_Determination_of_navigable_season.ipynb
new file mode 100644
index 00000000..ad87981c
--- /dev/null
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/3_Determination_of_navigable_season.ipynb
@@ -0,0 +1,550 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "2646499c-e8dd-4c5e-9d87-5fda946a7196",
+   "metadata": {},
+   "source": [
+    "# 3. Determination of navigable season"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "428d3ada-c6ee-4d3c-9f8f-40622858308b",
+   "metadata": {},
+   "source": [
+    "The Lower Athabasca River is located in a cold region where below freezing temperatures cause the river to freeze during winter. Since the aim of this research is to analyse low flow navigation constraints, a consistent open water time window must be defined in which navigation restrictions are limited to discharge rather than ice formation. \n",
+    "\n",
+    "The timing of river ice break up and freeze up varies from year to year as the climate system is dynamic. Therefore, a simplified algorithm is developed to identify the approximate break up and freeze up dates for each year between 1970 and 2024. The algorithm is based on observed discharge data and temperature data from ERA5. The latest identified break up is used as the starting boundary of the fixed open water season, and the earliest identified freeze up date as the ending boundary. According to Peters et al., ice break up typically occurs in late April to early May, while freeze up may occur in late October to November (2023). These ranges are used as a reference to assess whether the algorithm produces realistic results.\n",
+    "\n",
+    "Based on evaluations made in 3.1, start of navigable season and 3.2, end of navigable season, the study defines the navigational open water season as 18 May to 17 October. \n",
+    "\n",
+    "The same algorithms are applied to modelled future discharge and temperature data under climate scenarios to evaluate how the navigational period changes over time (See 6.2). \n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4ef338a3-1225-4966-898b-945250d61fe9",
+   "metadata": {},
+   "source": [
+    "## 3.1 Start of navigable season"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "eacd94d4-51a0-4b6f-b2d0-3e4277e293df",
+   "metadata": {},
+   "source": [
+    "The start of the navigable season is approximated using observed discharge at Fort McMurray, discharge station 07DA001. As temperatures begin to rise in spring, accumulated snow melts rapidly causing a significant increase in discharge. This period is called freshet and is often associated with increased flood risk. Once Qcritical is initially reached, low flows are unlikely to occur shortly after due to a continuous rise in discharge during freshet. Therefore, the first date each year on which discharge exceeds Qcritical is used as an indicator for the beginning of the open water analysis period. \n",
+    "\n",
+    "This method does not necessarily identify the exact date when all river ice has disappeared. Instead, it is used to prevent low flow days before the spring freshet from being included in the navigation analysis. This is important because discharge prior to break up may be low  due to low winter baseflow, while navigation is limited by ice. \n",
+    "\n",
+    "Figure 4 shows the first date each year when observed discharge exceeds the critical threshold. Most years fall between late April and early May, in line with expectations. The year 2009 forms an anomaly with 18 May identified as the start of freshet. Although this may be a late date, it is still considered suitable as the starting boundary. A later start date may help account for delayed modelled freshet peaks which the hydrological model is not specifically calibrated for (see chapter 4), preventing prior low baseflow days from being counted incorrectly. It is also notable that there is no visible indication of the start date changing over the years. \n",
+    "\n",
+    "Figure 5 gives one example year, illustrating the initial freshet period and how Qcritical is approached to identify the starting date.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 71,
+   "id": "9ab44ca1-e279-4bef-a132-7e12a112e342",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General python imports\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\", category=UserWarning)\n",
+    "\n",
+    "import numpy as np\n",
+    "from pathlib import Path\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import xarray as xr\n",
+    "\n",
+    "# Niceties\n",
+    "from rich import print"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 72,
+   "id": "be9a1be8-5c71-4d21-9004-eac0135eb058",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General eWaterCycle\n",
+    "import ewatercycle\n",
+    "import ewatercycle.models\n",
+    "import ewatercycle.forcing"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 73,
+   "id": "ad794f20-34f2-450b-9879-7baa8c35739f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Defining time period & q_critical\n",
+    "\n",
+    "experiment_start_date = \"1970-01-01T00:00:00Z\"\n",
+    "experiment_end_date = \"2024-12-31T00:00:00Z\"\n",
+    "\n",
+    "q_critical = 500\n",
+    "\n",
+    "hysets_id = \"hysets_07DA001\"\n",
+    "basin_size = 132572"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 74,
+   "id": "ccfaa64b-5613-4155-95d6-9d3c92826d9d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Loading in data\n",
+    "\n",
+    "forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"forcings\" / \"ERA5\" / \"ERA5-1970-2024\"\n",
+    "forcing_path_ERA5.mkdir(exist_ok=True, parents=True)\n",
+    "\n",
+    "discharge_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
+    "\n",
+    "shape_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "\n",
+    "hbv_config = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"hbv_config\"\n",
+    "hbv_config.mkdir(parents=True, exist_ok=True)\n",
+    "\n",
+    "# Load CSV discharge 07DA001\n",
+    "q_obs = pd.read_csv(discharge_file, skiprows=1)\n",
+    "q_obs = q_obs[[\"Date\", \"Value\"]].copy()\n",
+    "q_obs[\"Date\"] = pd.to_datetime(q_obs[\"Date\"])\n",
+    "q_obs = q_obs.rename(columns={\"Value\": \"discharge_m3s\"})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 75,
+   "id": "b95a5594-f90f-441e-ae13-bd0ca220384e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Filter q_obs to start & end date\n",
+    "\n",
+    "start_date = pd.to_datetime(experiment_start_date.replace(\"Z\", \"\"))\n",
+    "end_date = pd.to_datetime(experiment_end_date.replace(\"Z\", \"\"))\n",
+    "\n",
+    "q_obs = q_obs[\n",
+    "    (q_obs[\"Date\"] >= start_date) &\n",
+    "    (q_obs[\"Date\"] <= end_date)].copy()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 76,
+   "id": "ebbb5515-41d0-4fef-a5b4-626f11a7e3c2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create pd for identified critical dates\n",
+    "\n",
+    "freshet_start_date = []\n",
+    "\n",
+    "for year, group in q_obs.groupby(q_obs[\"Date\"].dt.year):\n",
+    "\n",
+    "    # Set start date to March 1\n",
+    "    start_date_algorithm = pd.to_datetime(f\"{year}-03-01\")\n",
+    "    season_data = group[group[\"Date\"] >= start_date_algorithm].copy()\n",
+    "    \n",
+    "    # Identify first day where q > q_critical\n",
+    "    \n",
+    "    above_critical = season_data[\n",
+    "        season_data[\"discharge_m3s\"] > q_critical]\n",
+    "    \n",
+    "    if len(above_critical) > 0:\n",
+    "        first_day = above_critical.iloc[0]\n",
+    "        \n",
+    "        freshet_start_date.append({\n",
+    "            \"year\": year,\n",
+    "            \"first_above_critical_date\": first_day[\"Date\"],\n",
+    "            \"discharge_m3s\": first_day[\"discharge_m3s\"]})\n",
+    "\n",
+    "freshet_start_date = pd.DataFrame(freshet_start_date)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 77,
+   "id": "e5d5de0d-daa0-4b1f-9692-591c1c01a7db",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1000x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Convert date to day of year\n",
+    "freshet_start_date[\"day_of_year\"] = (freshet_start_date[\"first_above_critical_date\"].dt.dayofyear)\n",
+    "\n",
+    "# Make plot \n",
+    "plt.figure(figsize=(10, 5))\n",
+    "plt.scatter(freshet_start_date[\"day_of_year\"], freshet_start_date[\"year\"], marker=\"o\")\n",
+    "\n",
+    "plt.xlabel(\"Date\")\n",
+    "plt.ylabel(\"Year\")\n",
+    "plt.title(\"First date discharge exceeds critical threshold between 1970-2024\")\n",
+    "plt.grid(True)\n",
+    "\n",
+    "# Convert day of year to day in months (on the axis)\n",
+    "plt.xticks(\n",
+    "    [60, 65, 70, 75, 80, 85, 90,\n",
+    "     95, 100, 105, 110, 115, 120,\n",
+    "     125, 130, 135, 140, 145, 150],\n",
+    "    [\"Mar 1\", \"Mar 6\", \"Mar 11\", \"Mar 16\", \"Mar 21\", \"Mar 26\", \"Mar 31\",\n",
+    "     \"Apr 5\", \"Apr 10\", \"Apr 15\", \"Apr 20\", \"Apr 25\", \"Apr 30\",\n",
+    "     \"May 5\", \"May 10\", \"May 15\", \"May 20\", \"May 25\", \"May 30\"],)\n",
+    "\n",
+    "# Automate x-axis range to fit data\n",
+    "plt.xlim((freshet_start_date[\"day_of_year\"].min()-1), (freshet_start_date[\"day_of_year\"].max()+1))\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4ad17432-2817-4839-9d25-a41c68379019",
+   "metadata": {},
+   "source": [
+    "**Figure 4:** Scatter plot showing yearly start of open-water season.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 78,
+   "id": "f62bbca0-228f-45ef-aec3-9e182aad231f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def plot_discharge_for_year(q_obs, freshet_start_date, q_critical, selected_year):\n",
+    "\n",
+    "    # Define plotting period to selected year\n",
+    "    start_date = f\"{selected_year}-01-01\"\n",
+    "    end_date = f\"{selected_year}-12-31\"\n",
+    "\n",
+    "    # Adjust q_obs and freshet_start_date to fit plotting period\n",
+    "    q_obs_year = q_obs[\n",
+    "        (q_obs[\"Date\"] >= start_date) &\n",
+    "        (q_obs[\"Date\"] <= end_date)]\n",
+    "\n",
+    "    freshet_year = freshet_start_date[\n",
+    "        (freshet_start_date[\"first_above_critical_date\"] >= start_date) &\n",
+    "        (freshet_start_date[\"first_above_critical_date\"] <= end_date)]\n",
+    "\n",
+    "    # Start figure\n",
+    "    plt.figure(figsize=(12, 5))\n",
+    "\n",
+    "    # Plot q_obs\n",
+    "    plt.plot(q_obs_year[\"Date\"], q_obs_year[\"discharge_m3s\"], label=\"Observed discharge\")\n",
+    "\n",
+    "    # Plot q_critical\n",
+    "    plt.axhline(y=q_critical, linestyle=\":\", label=f\"Critical discharge ({q_critical} m³/s)\", color=\"black\")\n",
+    "\n",
+    "    # Plot when q_critical is reached\n",
+    "    for date in freshet_year[\"first_above_critical_date\"].dropna():\n",
+    "        plt.axvline(x=date, linestyle=':', color='orange', label='Start navigable season')\n",
+    "\n",
+    "    plt.xlabel(\"Date\")\n",
+    "    plt.ylabel(\"Discharge (m³/s)\")\n",
+    "    plt.title(f\"Observed daily discharge at 07DA001 in {selected_year}\")\n",
+    "\n",
+    "    plt.legend()\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 79,
+   "id": "ce973ec4-5c14-4fb7-bf01-05f60665a301",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1200x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "selected_year = 2014\n",
+    "\n",
+    "plot_discharge_for_year(q_obs, freshet_start_date, q_critical, selected_year)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "10cd5f4f-0879-4a6a-aa53-3965afb2da8c",
+   "metadata": {},
+   "source": [
+    "**Figure 5:** Graph showing first time Q reaches Q critical in 2014. \n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0547a860-596c-4b2e-9a97-35a02415c858",
+   "metadata": {},
+   "source": [
+    "## 3.1 End of navigable season"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "797c8dfe-eeb3-4af7-aa31-e65e1c9637a5",
+   "metadata": {},
+   "source": [
+    "The end of the open water season is approximated using accumulated freezing degree days (AFDD), calculated from ERA5 2 m above surface temperature. AFDD is calculated by accumulating daily temperatures below 0 ℃. If the daily temperature is below 0 ℃, the absolute temperature is added to the cumulative AFDD. If the temperature is above 0 ℃, no value is added.\n",
+    "\n",
+    "In the LAR there is a correlation between AFDD and ice formation. Andrishak reports that initial ice formation occurs around 10-12 ℃ AFDD, while complete ice cover forms around 50-52 ℃ AFDD (2008). Initial ice is likely to form near shallow river banks which may not immediately limit navigation. However, navigation may become constricted before a complete ice cover has formed. Therefore, this study assumes navigation becomes limited at a threshold of:\n",
+    "\n",
+    "$AFDD > 30 ℃$\n",
+    "\n",
+    "The AFDD is calculated from 1 October onwards to eliminate freeze degree day anomalies in prior months. A more detailed ice freeze up study could use net freezing degree days rather than cumulative freeze degree days, as this would reduce the influence of warmer periods in between cold spells. However, this lies outside the scope of this research. To remain consistent with Andrishak’s finding, AFDD is used. \n",
+    "\n",
+    "Figure 6 shows the estimated freeze up date for each year. Most identified dates occur between mid October to early November, in line with expectations. One clear outlier is 2009 with a freeze up date of 12 October. This outlier will not be used as the end of the navigation period because it falls 5 days before the next datapoint (1992, 17 October), which for all the other years is a relevant evaluation period for navigation. \n",
+    "\n",
+    "Figure 7 shows the temperature time series for an example year, 2014, illustrating how the freeze up date is determined using AFDD."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 80,
+   "id": "42b38876-9ec2-481a-8d59-08faec50f358",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Generate ERA5 data\n",
+    "\n",
+    "# ERA5_forcing = ewatercycle.forcing.sources['LumpedMakkinkForcing'].generate(\n",
+    "#     dataset=\"ERA5\",\n",
+    "#     start_time=experiment_start_date,\n",
+    "#     end_time=experiment_end_date,\n",
+    "#     shape=shape_file,\n",
+    "#     directory=forcing_path_ERA5\n",
+    "# )\n",
+    "\n",
+    "# Load ERA5 data\n",
+    "\n",
+    "ERA5_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=forcing_path_ERA5)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 81,
+   "id": "56e77e15-32bf-4c36-bb56-4b15d00b90e8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Exract tas file from Era5\n",
+    "tas_file = Path(ERA5_forcing.directory) / ERA5_forcing.filenames[\"tas\"]\n",
+    "\n",
+    "# Extract tas data from tas file\n",
+    "temp_data = xr.open_dataset(tas_file)[\"tas\"]\n",
+    "\n",
+    "# Convert to panda\n",
+    "temp_data = temp_data.to_series()\n",
+    "temp_data.index = pd.to_datetime(temp_data.index).tz_localize(None).normalize()\n",
+    "\n",
+    "# Convert Kelvin to Celsius:\n",
+    "temp_data = temp_data - 273.15\n",
+    "\n",
+    "# Create dataframe with Date, Temp & year as columns\n",
+    "temp_data = pd.DataFrame({\n",
+    "    \"Date\": temp_data.index,\n",
+    "    \"Temp\": temp_data.values,\n",
+    "    \"year\": temp_data.index.year})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 82,
+   "id": "d6eb939a-f972-4019-84cd-6d58c25f135d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "AFDD_critical = 30\n",
+    "AFDD_critical_dates = []\n",
+    "\n",
+    "start_year = start_date.year\n",
+    "end_year = end_date.year\n",
+    "\n",
+    "for year in range(start_year, end_year + 1):\n",
+    "\n",
+    "    # Set start date to 1 October\n",
+    "    year_data = temp_data[\n",
+    "        (temp_data[\"year\"] == year) &\n",
+    "        (temp_data[\"Date\"] >= pd.to_datetime(f\"{year}-10-01\"))]\n",
+    "\n",
+    "    AFDD = 0\n",
+    "    \n",
+    "    # Isolate datasets of date & temperature data to each year \n",
+    "    for i in range(len(year_data)):\n",
+    "        temp = year_data.iloc[i][\"Temp\"]\n",
+    "        date = year_data.iloc[i][\"Date\"]\n",
+    "\n",
+    "        # Cumulative AFDD\n",
+    "        if temp < 0:\n",
+    "            AFDD += -temp\n",
+    "\n",
+    "        # Append when AFDD is critical\n",
+    "        if AFDD >= AFDD_critical:\n",
+    "            AFDD_critical_dates.append({\n",
+    "                \"year\": year,\n",
+    "                \"AFDD_critical_date\": date,\n",
+    "                \"AFDD\": AFDD,\n",
+    "                \"Temp\": temp\n",
+    "            })\n",
+    "\n",
+    "            break \n",
+    "\n",
+    "AFDD_critical_dates = pd.DataFrame(AFDD_critical_dates)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 83,
+   "id": "716607d9-b158-4020-a72e-800ec08bdb94",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1000x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Convert date to day of year\n",
+    "AFDD_critical_dates[\"day_of_year\"] = (AFDD_critical_dates[\"AFDD_critical_date\"].dt.dayofyear)\n",
+    "\n",
+    "# Make plot \n",
+    "plt.figure(figsize=(10, 5))\n",
+    "plt.scatter(AFDD_critical_dates[\"day_of_year\"], AFDD_critical_dates[\"year\"], marker=\"o\")\n",
+    "\n",
+    "plt.xlabel(\"Date\")\n",
+    "plt.ylabel(\"Year\")\n",
+    "plt.title(f\"Date of river freeze-up (AFDD >= {AFDD_critical}) between 1970-2024\")\n",
+    "plt.grid(True)\n",
+    "\n",
+    "# Convert day of year to day in months (on the axis)\n",
+    "plt.xticks(\n",
+    "    [274, 279, 284, 289, 294, 299, 304,\n",
+    "     309, 314, 319, 324, 329, 334, 339,\n",
+    "     344, 349, 354, 359, 364, 366],\n",
+    "    [\"Oct 1\", \"Oct 6\", \"Oct 11\", \"Oct 16\", \"Oct 21\", \"Oct 26\", \"Oct 31\",\n",
+    "     \"Nov 5\", \"Nov 10\", \"Nov 15\", \"Nov 20\", \"Nov 25\", \"Nov 30\", \"Dec 5\",\n",
+    "     \"Dec 10\", \"Dec 15\", \"Dec 20\", \"Dec 25\", \"Dec 30\", \"Dec 31\"],)\n",
+    "\n",
+    "# Automate x-axis range to fit data\n",
+    "plt.xlim((AFDD_critical_dates[\"day_of_year\"].min()-1), (AFDD_critical_dates[\"day_of_year\"].max()+1))\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4a8cc638-8cf4-4515-a67c-56024a554ce9",
+   "metadata": {},
+   "source": [
+    "**Figure 6:** Scatter plot showing yearly end of open-water season."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 84,
+   "id": "4018b628-04ca-4fc5-b21b-74107c44ec11",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1000x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot temp for 1 year for fun:\n",
+    "selected_year = 2014\n",
+    "year_data = temp_data[temp_data[\"year\"] == selected_year]\n",
+    "\n",
+    "plt.figure(figsize=(10, 5))\n",
+    "plt.title(f\"Temperature time series showing date of river freeze-up (AFDD >= {AFDD_critical}) for 2014\")\n",
+    "plt.scatter(year_data[\"Date\"], year_data[\"Temp\"], marker=\"o\")\n",
+    "plt.axhline(y=0, linestyle=\":\", color=\"black\", label=\"0°C\")\n",
+    "\n",
+    "# Extract & plot critical AFDD date for selected year\n",
+    "AFDD_critical_date = AFDD_critical_dates.loc[AFDD_critical_dates[\"year\"] == selected_year, \"AFDD_critical_date\"].iloc[0]\n",
+    "plt.axvline(x=AFDD_critical_date, linestyle=\":\", color=\"orange\", label=\"River freeze-up\")\n",
+    "\n",
+    "plt.xlabel(\"Date\")\n",
+    "plt.ylabel(\"Temperature (°C)\")\n",
+    "plt.legend()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "78040047-ce71-413d-8c6b-6ee47c6b0dcd",
+   "metadata": {},
+   "source": [
+    "**Figure 7:** Graph showing temperature time series showing river freeze-up date for 2014."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "42749e66-7066-453f-bce2-5c0efa310720",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/4_Calibration_of_the_HBV_model.ipynb b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/4_Calibration_of_the_HBV_model.ipynb
new file mode 100644
index 00000000..1c5eebb7
--- /dev/null
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/4_Calibration_of_the_HBV_model.ipynb
@@ -0,0 +1,1124 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "24321024-ee24-48df-a579-3fbdd3270fa2",
+   "metadata": {},
+   "source": [
+    "# 4. Calibration of the HBV model"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0adfbb0f-12b9-4594-a199-79dc6c9d6a47",
+   "metadata": {},
+   "source": [
+    "## 4.1 Model selection"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0a56fdb2-66c3-4bf7-bab1-04b032b8e884",
+   "metadata": {},
+   "source": [
+    "The HBV model will be selected to simulate discharge in the Lower Athabasca River. HBV is a rainfall runoff model representing hydrological processes requiring limited parameter input and storage components. This makes the model computationally efficient which is useful for calibration. See Table 4.1 for a list of the input parameters. \n",
+    "\n",
+    "HBV has the ability to represent snow accumulation and snowmelt with its snowmelt parameter. This is important for the LAR, where snow processes heavily influence discharge. The basin contains both high elevation mountains in the Rockies and lower plains downstream resulting in a spatial variability, which HBV can account for.\n",
+    "\n",
+    "This model also has limitations. The HBV model does not explicitly include a glacier melt parameter. A HBV adaptation such as HBV-EC could be more suitable, which is not provided by eWaterCycle. However, this contribution is small at the LAR and therefore expected to cause minor conceptual errors. In addition, this model does not explicitly represent non-contributing areas such as potholes that occur in the boreal basin. \n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "74d0f26f-b4a2-47cb-b287-8cffff88f3e6",
+   "metadata": {},
+   "source": [
+    "*Table 4.1: HBV model parameters.*\n",
+    "\n",
+    "| **Parameter**            | **Description**                                          |\n",
+    "|--------------------------|----------------------------------------------------------|\n",
+    "| $I_{\\text{max}}$         | Maximum interception storage [mm]                        |\n",
+    "| $C_{\\text{e}}$           | Evaporation correction factor [-]                        |\n",
+    "| $S_{\\text{u,max}}$       | Maximum soil moisture storage [mm]                       |\n",
+    "| $\\beta$                  | Soil runoff parameter [-]                                |\n",
+    "| $P_{\\text{max}}$         | Maximum percolation rate [mm/day]                        |\n",
+    "| $T_{\\text{lag}}$         | Time lag [days]                                          |\n",
+    "| $K_{\\text{f}}$           | Fast reservoir recession coeofficient     [1/day]        |\n",
+    "| $K_{\\text{s}}$           | Slow reservoir recession coeofficient     [1/day]        |\n",
+    "| $F_{\\text{M}}$           | Snowmelt factor                           [-]            |"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "deaa74c9-d454-408a-8e73-0d5b820d530d",
+   "metadata": {},
+   "source": [
+    "A visual representation of the model, parameters and storages can be seen in Figure 8 below:"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8c042d07-8482-4ecc-ae60-05fd74803acc",
+   "metadata": {},
+   "source": [
+    "<figure>\n",
+    "  <img src=\"Figures/HBV_Visualisation.jpg\">\n",
+    "  <figcaption><b>Figure 8:</b> Visualisation of the HBV model parameters and storages (Hrachowitz, n.d.).</figcaption>\n",
+    "</figure>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "de7472c8-5043-4c38-9928-6e60b19899b7",
+   "metadata": {},
+   "source": [
+    "## 4.2 Calibration methodology"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "010c4b48-b5e4-46cb-85df-47897e465ee6",
+   "metadata": {},
+   "source": [
+    "The HBV model is calibrated using observed daily discharge data from station 07DA001 at Fort McMurray and ERA5 climate data. ERA5 provides 2 m above surface temperature, precipitation, shortwave radiation and calculates potential evaporation. The available discharge data is divided into a calibration and validation period using an 80/20 split, respectively. The calibration period runs from 1999-2019 and the validation period from 2019-2024. For both calibration and validation, the first year will act as a warm up period allowing model storages to fill up.\n",
+    "\n",
+    "The HBV model is run multiple times using various parameter sets. Each parameter set is randomly sampled from parameter ranges manually determined based on previous runs. For every run, the used parameter set is evaluated based on differences between modelled and observed data using statistical analysis,  LNSE (See 4.3). The model will be run 1000 times for calibration. As a result, 1000 different sets of parameters are rated and ranked based on model performance. Instead of selecting one optimal parameter set, the 5 best parameter sets will be returned, creating an ensemble of best sets. The selected ensemble will be applied to the validation period and later to future climate forcing, producing a range and mean estimate of future discharge and low flow days. This ensemble approach gives an estimate of model uncertainty and improves reproducibility of the calibration results, as the influence of errors in one parameter set are reduced by averaging. Furthermore, various parameter sets might have varying strengths in modelling accuracy (e.g. identifying low flow between peaks or identifying transition timing between long high and low flow periods). For a list and interpretation of calibrated parameter values for each set, see Appendix B. \n",
+    "\n",
+    "Winter months from December to April are excluded from evaluating parameter set performance during calibration. This is because low winter baseflow is not the focus of this study and will significantly dilute calibration results. \n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3362b7e6-87f0-4af3-a037-57fa588abb66",
+   "metadata": {},
+   "source": [
+    "## 4.3 Logarithmic Nash-Sutcliff Efficiency"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a2cf1289-bc97-4ceb-8054-83f596e82e4a",
+   "metadata": {},
+   "source": [
+    "The logarithmic Nash-Sutcliffe Efficiency (LNSE) is a commonly used metric to evaluate how well modelled discharge coincides with observed discharge (Duc & Sawada, 2023). It originates from the NSE method, which compares the variance of the modelled prediction errors to the variance in observed data. NSE is strongly influenced by high flow peaks where errors are squared. By applying a logarithmic transformation to both discharge and modelled data, errors during low flow are relatively weighed more heavily. This makes LNSE a suitable method for this research. \n",
+    "\n",
+    "The logarithmic Nash-Sutcliffe Efficiency is calculated as:\n",
+    "\n",
+    "$log NSE = 1 - \\frac{\\Sigma(logQ_{obs}-logQ_{sim})^2}{\\Sigma(logQ_{obs} - \\overline{logQ_{obs}})^2}$\n",
+    "\n",
+    "Where $Q_{obs}$ is the observed discharge at one time step, $Q_{sim}$ the simulated discharge at one time step and $\\overline{logQ_{sim}}$the mean of the log observed discharge. The output result may range from -∞ to 1, where 1 indicates a perfect model fit (HEC-HMS, n.d.). "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c66535de-7a8e-4bdb-b88f-62063e8364ca",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "LNSE will be calculated using the following functions:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f836be72-70d8-4d18-ac1a-1c209f690e42",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Calculate log NSE\n",
+    "\n",
+    "def LNSE(sim, obs):\n",
+    "    \n",
+    "    sim = sim.to_numpy()\n",
+    "    obs = obs.to_numpy()\n",
+    "\n",
+    "    # Avoid log(0)\n",
+    "    eps = 0.00000000001\n",
+    "\n",
+    "    log_sim = np.log(sim + eps)\n",
+    "    log_obs = np.log(obs + eps)\n",
+    "\n",
+    "    return 1 - np.sum((log_obs - log_sim) ** 2) / np.sum((log_obs - np.mean(log_obs)) ** 2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8fea8ebc-ab8f-4251-b4f9-243c4a9d6848",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Call log NSE for relevant timeperiod\n",
+    "\n",
+    "def lnse_ensemble(ensemble_data, lnse_start, lnse_end):\n",
+    "\n",
+    "    # Select evaluation period - skip first year for storages to fill\n",
+    "    combined_data = ensemble_data[\n",
+    "        (ensemble_data.index >= lnse_start) &\n",
+    "        (ensemble_data.index <= lnse_end)].dropna()\n",
+    "\n",
+    "    # Exclude winter months\n",
+    "    combined_data = combined_data[\n",
+    "        ~combined_data.index.month.isin([12, 1, 2, 3, 4])]\n",
+    "\n",
+    "    lnse_results = []\n",
+    "\n",
+    "    # Calculate LNSE for all sets\n",
+    "    for i in range(len(par_ensemble)):\n",
+    "        lnse_value = LNSE(\n",
+    "            combined_data[f\"Set {i+1}\"],\n",
+    "            combined_data[\"Observed discharge\"])\n",
+    "\n",
+    "        # Append LNSE\n",
+    "        lnse_results.append({\n",
+    "            \"Set\": f\"Set {i+1}\",\n",
+    "            \"LNSE\": lnse_value})\n",
+    "\n",
+    "    # Calculate LNSE of ensemble mean\n",
+    "    mean_lnse = LNSE(\n",
+    "        combined_data[\"Mean\"],\n",
+    "        combined_data[\"Observed discharge\"])\n",
+    "\n",
+    "    # Append LNSE\n",
+    "    lnse_results.append({\n",
+    "        \"Set\": \"Ensemble mean\",\n",
+    "        \"LNSE\": mean_lnse})\n",
+    "\n",
+    "    lnse_results = pd.DataFrame(lnse_results)\n",
+    "\n",
+    "    return lnse_results"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1d49d874-51df-4c38-893a-418a8b3bbcc8",
+   "metadata": {},
+   "source": [
+    "## 4.4 Calibration results"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fdc1955a-65b0-422e-bf2a-946011a35c96",
+   "metadata": {},
+   "source": [
+    "As mentioned before, the HBV model was calibrated from 1999-2019 excluding the first year as a warm up period and 5 winter months. Figure 9 shows the observed and modelled data over this period. Overall, the model reproduces the discharge reasonably well. The 5 best parameter sets returned an LNSE ranging from 0,64 to 0,72 with a 0,68 median. The mean discharge from the sets returns an improved LNSE of 0,74, which can be considered a good model fit. Most high flow peaks are not modelled accurately, which is acceptable within the scope of the study. Low flow periods and the transition from high to low discharge periods are generally represented well which is important for identifying critical low flow days. The code used for the calibration can be seen in appendix 5."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "id": "ea79a0dc-277b-4745-9c61-1d3d28f51804",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General python\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\", category=UserWarning)\n",
+    "\n",
+    "import numpy as np\n",
+    "from pathlib import Path\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import xarray as xr\n",
+    "\n",
+    "# Niceties\n",
+    "from rich import print"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "id": "2cdd5f48-19d1-431b-af45-e74f4b15e3ca",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General eWaterCycle\n",
+    "import ewatercycle\n",
+    "import ewatercycle.models\n",
+    "import ewatercycle.forcing"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "id": "ccb789d1-40a2-4b0f-a257-48a0a98c1416",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Defining things\n",
+    "\n",
+    "basin_size = 132572\n",
+    "q_critical = 500\n",
+    "\n",
+    "# Choosing time period\n",
+    "\n",
+    "validation_start_yr = 1999\n",
+    "validation_end_yr = 2019\n",
+    "\n",
+    "experiment_start_date = f\"{validation_start_yr}-01-01T00:00:00Z\"\n",
+    "experiment_end_date = f\"{validation_end_yr}-12-31T00:00:00Z\"\n",
+    "\n",
+    "validation_start = f\"{validation_start_yr}-01-01T00:00:00Z\"\n",
+    "validation_end = f\"{validation_end_yr}-12-31T00:00:00Z\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "id": "ae67ce30-2cdc-4c2e-9320-6883b83ee861",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create pathways for ERA 5 forcings\n",
+    "\n",
+    "forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"forcings\" / \"ERA5\" / f\"ERA5-{validation_start_yr}-{validation_end_yr}\"\n",
+    "\n",
+    "discharge_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
+    "\n",
+    "shape_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "\n",
+    "hbv_config = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"hbv_config\"\n",
+    "hbv_config.mkdir(parents=True, exist_ok=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "id": "824c3746-479f-4bdb-b0c1-4687321aaab6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load CSV discharge 07DA001\n",
+    "\n",
+    "q_obs = pd.read_csv(discharge_file, skiprows=1)\n",
+    "q_obs = q_obs[[\"Date\", \"Value\"]].copy()\n",
+    "q_obs[\"Date\"] = pd.to_datetime(q_obs[\"Date\"])\n",
+    "q_obs = q_obs.rename(columns={\"Value\": \"discharge_m3s\"})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "id": "ca69d964-30b0-4806-ac9d-93a775f4a62f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Define time period\n",
+    "validation_start_date = pd.to_datetime(validation_start.replace(\"Z\", \"\"))\n",
+    "validation_end_date = pd.to_datetime(validation_end.replace(\"Z\", \"\"))\n",
+    "\n",
+    "# Skip 1 year for filling storages\n",
+    "evaluation_start = pd.to_datetime(f\"{validation_start_date.year + 1}-01-01\")\n",
+    "\n",
+    "# Align q_obs to relevant dates\n",
+    "q_obs = q_obs[(q_obs[\"Date\"] >= validation_start_date) & (q_obs[\"Date\"] <= validation_end_date)]\n",
+    "observed_output = pd.Series(data=q_obs[\"discharge_m3s\"].to_numpy(), name=\"Observed discharge\", index=q_obs[\"Date\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 69,
+   "id": "03f9569b-c0c4-492f-87de-eda5529176e3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Generate ERA5 data\n",
+    "# ERA5_forcing = ewatercycle.forcing.sources['LumpedMakkinkForcing'].generate(\n",
+    "#     dataset=\"ERA5\",\n",
+    "#     start_time=experiment_start_date,\n",
+    "#     end_time=experiment_end_date,\n",
+    "#     shape=shape_file,\n",
+    "# )\n",
+    "\n",
+    "# Load data\n",
+    "\n",
+    "ERA5_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=forcing_path_ERA5)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 70,
+   "id": "1c20167e-73e0-47dc-8992-27855fa04e97",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load calibration constants\n",
+    "\n",
+    "par_ensemble = [\n",
+    "    [6.279135, 0.4808243, 174.127749, 1.9527195, 0.3305087, 6.19919, 0.0768362, 0.004366398, 0.4076606],\n",
+    "    [7.35776, 0.432509, 192.67085, 1.66088, 0.289296, 5.323766, 0.037268, 0.004399, 1.146504],\n",
+    "    [7.9355, 0.4593, 219.6962, 1.72624, 0.26391, 5.810765, 0.04804, 0.0155065, 0.76857],\n",
+    "    [5.5464, 0.46496, 187.8548, 1.82803, 0.440628, 6.29496, 0.062766, 0.033095, 0.80392],\n",
+    "   [7.23868, 0.47495, 181.82012, 1.8232, 0.4884032, 5.546412, 0.0449439, 0.00231717, 1.25052]]\n",
+    "\n",
+    "\n",
+    "par_names = [\"Imax\",         # Maximum interception storage\n",
+    "               \"Ce\",         # Evaporation correction factor\n",
+    "               \"Sumax\",      # Maximum soil moisture storage\n",
+    "               \"Beta\",       # Soil runoff parameter\n",
+    "               \"Pmax\",       # Maximum percolation rate\n",
+    "               \"Tlag\",       # Time lag\n",
+    "               \"Kf\",         # Fast reservoir recession coefficient\n",
+    "               \"Ks\",         # Slow reservoir recession coefficient\n",
+    "               \"FM\"]          # Snowmelt factor"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "id": "9a80b64e-bab0-4f67-a77e-7c9242e5d380",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Storages\n",
+    "\n",
+    "#               Si,  Su, Sf, Ss, Sp\n",
+    "s_0 = np.array([0,  100,  0,  5,  0])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 65,
+   "id": "17c73c6f-c695-492c-bd4a-057dcf337f07",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Model setup\n",
+    "\n",
+    "def run_hbv(parameters, initial_storages, forcing):\n",
+    "\n",
+    "    # Creating model object\n",
+    "    model = ewatercycle.models.HBV(forcing=forcing)\n",
+    "\n",
+    "    # Creating config file\n",
+    "    config_file, _ = model.setup(\n",
+    "        parameters=parameters,\n",
+    "        initial_storages=initial_storages,\n",
+    "        cfg_dir=hbv_config)\n",
+    "\n",
+    "    # Initialising model\n",
+    "    model.initialize(config_file)\n",
+    "\n",
+    "    # Define & update outputs\n",
+    "    Q_m = []\n",
+    "    time = []\n",
+    "\n",
+    "    while model.time < model.end_time:\n",
+    "        model.update()\n",
+    "        Q_m.append(model.get_value(\"Q\")[0])\n",
+    "        time.append(pd.Timestamp(model.time_as_datetime))\n",
+    "\n",
+    "    model.finalize()\n",
+    "\n",
+    "    # Convert mm/day to m3/s\n",
+    "    model_output_mmday = pd.Series(\n",
+    "        data=Q_m,\n",
+    "        index=time,\n",
+    "        name=\"Modelled discharge\")\n",
+    "\n",
+    "    model_output_m3s = model_output_mmday * basin_size * 1000 / 86400\n",
+    "\n",
+    "    return model_output_m3s"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 66,
+   "id": "23761caa-ef00-408b-ac41-38d6b21ae299",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Running model\n",
+    "\n",
+    "def run_hbv_ensemble(par_ensemble, initial_storages, forcing):\n",
+    "\n",
+    "    # Define amount of parameter sets\n",
+    "    N = len(par_ensemble)\n",
+    "    \n",
+    "    # Create dataframe to append data to & add column for observed data\n",
+    "    ensemble_data = pd.DataFrame()\n",
+    "\n",
+    "    for i in range(N):\n",
+    "\n",
+    "        print(f\"Running parameter set {i+1}/{N}\")\n",
+    "\n",
+    "        # Run HBV model for the parameter sets \n",
+    "        simulated = run_hbv(\n",
+    "            parameters=par_ensemble[i],\n",
+    "            initial_storages=initial_storages,\n",
+    "            forcing=forcing)\n",
+    "\n",
+    "        # Filter data by day only, not by day & time to prevent alignment issues\n",
+    "        simulated_daily = simulated\n",
+    "\n",
+    "        simulated_daily.index = pd.to_datetime(simulated_daily.index).tz_localize(None).normalize()\n",
+    "        simulated_daily.name = f\"Set {i+1}\"\n",
+    "         \n",
+    "        # Append new column for every parameter set results\n",
+    "        ensemble_data[f\"Set {i+1}\"] = simulated\n",
+    "\n",
+    "    # Filter observed data by day\n",
+    "    observed_daily = observed_output\n",
+    "    observed_daily.index = pd.to_datetime(observed_daily.index).tz_localize(None).normalize()\n",
+    "\n",
+    "    # Add mean of all sets\n",
+    "    ensemble_data[\"Mean\"] = ensemble_data.mean(axis=1)\n",
+    "    ensemble_data['Observed discharge'] = observed_daily\n",
+    "\n",
+    "    return ensemble_data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "id": "b556e82d-3d20-4182-8cbe-f205ad3fac7f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m1\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m2\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m3\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m4\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m5\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "ensemble_data = run_hbv_ensemble(\n",
+    "    par_ensemble=par_ensemble,\n",
+    "    initial_storages=s_0,\n",
+    "    forcing=ERA5_forcing)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 67,
+   "id": "df33c5f6-e31c-443b-8908-6f3122612135",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Plotting function\n",
+    "\n",
+    "def plot_ensemble(ensemble_data, plot_start, plot_end):\n",
+    "\n",
+    "    plot_start = pd.to_datetime(plot_start)\n",
+    "    plot_end = pd.to_datetime(plot_end)\n",
+    "\n",
+    "    # Filter data to start & end time\n",
+    "    plot_data = ensemble_data[\n",
+    "        (ensemble_data.index >= plot_start) &\n",
+    "        (ensemble_data.index <= plot_end)].dropna()\n",
+    "\n",
+    "    # Define figure\n",
+    "    plt.figure()\n",
+    "    plt.figure(figsize=(15, 6))\n",
+    "\n",
+    "    # Plot sets, observed data, ensemble mean and axhline, respectively\n",
+    "    for i in range(len(par_ensemble)):\n",
+    "        plt.plot(plot_data.index, plot_data[f\"Set {i+1}\"], color=\"orange\", alpha=0.3, label=\"Parameter sets\" if i == 0 else None)\n",
+    "\n",
+    "    plt.plot(plot_data.index, plot_data[\"Observed discharge\"], label=\"Observed discharge\", linewidth=3)\n",
+    "    plt.plot(plot_data.index, plot_data[\"Mean\"], label=\"Ensemble mean\", linewidth=3)\n",
+    "    plt.axhline(y=q_critical, linestyle=\":\", color=\"black\", label=f\"Critical discharge ({q_critical} m³/s)\")\n",
+    "\n",
+    "    # Extras\n",
+    "    plt.xlabel(\"Date\")\n",
+    "    plt.ylabel(\"Discharge (m³/s)\")\n",
+    "    plt.title(\"Observed vs modelled ensemble discharge at 07DA001\")\n",
+    "    plt.legend()\n",
+    "    plt.grid(True)\n",
+    "\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 68,
+   "id": "a50c6d2f-1f78-421f-a919-c5f6aeb6c634",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 640x480 with 0 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1500x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot for full evaluation period\n",
+    "\n",
+    "plot_ensemble(\n",
+    "    ensemble_data=ensemble_data,\n",
+    "    plot_start=evaluation_start,\n",
+    "    plot_end=validation_end_date)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "23459947-3c26-4015-ba34-938f08816ccf",
+   "metadata": {},
+   "source": [
+    "**Figure 9:** Modelled vs observed discharge over the calibration period."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "30415751-47cd-4029-b67d-d837d881deb0",
+   "metadata": {},
+   "source": [
+    "## 4.5 Validation results"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "92604c10-ecd3-4bba-bcbe-0927605317aa",
+   "metadata": {},
+   "source": [
+    "The 5 best parameter sets were applied to the validation period 2019-2024, excluding the first year as a warm up period. Figure 10 shows the observed and modelled discharge over this period. The parameter sets returned an LNSE ranging from 0,72 to 0,77 with a 0,74 median. The model mean has an improved LNSE of 0,81,  which suggests a very good model performance. Interestingly, this shows an improvement from the calibration period which may suggest the parameter set’s performance is consistent which is important when modelling discharge in the far future. For yearly graphs, see Appendix C. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "id": "d16a1fc0-e8ee-47c6-b872-33b4450aa901",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Choosing new time period\n",
+    "\n",
+    "validation_start_yr = 2019\n",
+    "validation_end_yr = 2024\n",
+    "\n",
+    "experiment_start_date = f\"{validation_start_yr}-01-01T00:00:00Z\"\n",
+    "experiment_end_date = f\"{validation_end_yr}-12-31T00:00:00Z\"\n",
+    "\n",
+    "validation_start = f\"{validation_start_yr}-01-01T00:00:00Z\"\n",
+    "validation_end = f\"{validation_end_yr}-12-31T00:00:00Z\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "id": "72c7acad-73ed-4d01-ab13-d5ea81ea3d20",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create pathways for ERA 5 forcings\n",
+    "\n",
+    "forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"forcings\" / \"ERA5\" / f\"ERA5-{validation_start_yr}-{validation_end_yr}\"\n",
+    "\n",
+    "discharge_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
+    "\n",
+    "shape_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "\n",
+    "hbv_config = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"hbv_config\"\n",
+    "hbv_config.mkdir(parents=True, exist_ok=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "id": "3b0059db-7c6c-4628-ac0f-ae814598615d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load CSV discharge 07DA001\n",
+    "\n",
+    "q_obs = pd.read_csv(discharge_file, skiprows=1)\n",
+    "q_obs = q_obs[[\"Date\", \"Value\"]].copy()\n",
+    "q_obs[\"Date\"] = pd.to_datetime(q_obs[\"Date\"])\n",
+    "q_obs = q_obs.rename(columns={\"Value\": \"discharge_m3s\"})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "id": "5c84c09f-34cf-4b1f-97fc-06042c60c8c9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Define time period\n",
+    "validation_start_date = pd.to_datetime(validation_start.replace(\"Z\", \"\"))\n",
+    "validation_end_date = pd.to_datetime(validation_end.replace(\"Z\", \"\"))\n",
+    "\n",
+    "# Skip 1 year for filling storages\n",
+    "evaluation_start = pd.to_datetime(f\"{validation_start_date.year + 1}-01-01\")\n",
+    "\n",
+    "# Align q_obs to relevant dates\n",
+    "q_obs = q_obs[(q_obs[\"Date\"] >= validation_start_date) & (q_obs[\"Date\"] <= validation_end_date)]\n",
+    "observed_output = pd.Series(data=q_obs[\"discharge_m3s\"].to_numpy(), name=\"Observed discharge\", index=q_obs[\"Date\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 71,
+   "id": "d452d567-72fd-4a8f-b012-6a77eb5cd625",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Generate ERA5 data\n",
+    "# ERA5_forcing = ewatercycle.forcing.sources['LumpedMakkinkForcing'].generate(\n",
+    "#     dataset=\"ERA5\",\n",
+    "#     start_time=experiment_start_date,\n",
+    "#     end_time=experiment_end_date,\n",
+    "#     shape=shape_file,\n",
+    "# )\n",
+    "\n",
+    "# Load data\n",
+    "\n",
+    "ERA5_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=forcing_path_ERA5)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "id": "42531e49-fb29-42a5-8887-1b9dfd4f65aa",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m1\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m2\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m3\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m4\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m5\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "ensemble_data = run_hbv_ensemble(\n",
+    "    par_ensemble=par_ensemble,\n",
+    "    initial_storages=s_0,\n",
+    "    forcing=ERA5_forcing)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "id": "360d3df3-6991-4081-93e6-0a1b1d52df87",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 640x480 with 0 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1500x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot for full evaluation period\n",
+    "\n",
+    "plot_ensemble(\n",
+    "    ensemble_data=ensemble_data,\n",
+    "    plot_start=evaluation_start,\n",
+    "    plot_end=validation_end_date)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a9ab0905-25a8-4841-9cac-c3728f346d77",
+   "metadata": {},
+   "source": [
+    "**Figure 10:** Observed vs modelled discharge for the validation period. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f8cd1fba-7743-4fe3-9aeb-1071d7c73344",
+   "metadata": {},
+   "source": [
+    "Although low flow periods are reproduced reasonably accurately visually, when comparing low flow days between observed and modelled data, the model varies significantly in accuracy. In years such as 2020 and 2022, the difference is almost zero. In other years such as 2021 and 2024, errors exceed almost 100%. \n",
+    "\n",
+    "An explanation could be that fluctuations close to Qcritical may significantly influence results as can be seen in both 2021 and 2024. Even though observed discharge may be slightly above Qcritical, navigation may still be restricted on 7 critical sites rather than 8. An inflation of modelled low flow days may therefore not be problematic in answering the research question if this is the nature of the errors. Furthermore, errors could occur due to conceptual modelling errors (potholes and glacial melt exclusion). "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "10fe0727-f767-44f1-9ede-4e5fdc51ca3a",
+   "metadata": {},
+   "source": [
+    "*Table 4.2: Observed and modelled low flow days for validation period.*\n",
+    "\n",
+    "| **Year**  | **Observed lowflow days** | **Mean modelled lowflow days** |\n",
+    "|-----------|---------------------------|--------------------------------|\n",
+    "| 2020      | 0                         | 0                              |\n",
+    "| 2021      | 30                        | 67                             | \n",
+    "| 2022      | 34                        | 40                             |\n",
+    "| 2023      | 27                        | 22                             | \n",
+    "|2024       | 34                        | 14                             |"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "54893b9d-d61b-4db7-9d81-daf69280a38f",
+   "metadata": {},
+   "source": [
+    "The function used to generate the data used to manually create this table can be seen in the cell below:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 63,
+   "id": "3da26d79-985e-45cf-939d-9b001c01ec33",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def lowflow_counter_ensemble(ensemble_data, start_date, end_date):\n",
+    "    \n",
+    "    lowflow_days = []\n",
+    "\n",
+    "    years = list(range(start_date.year, end_date.year + 1))\n",
+    "\n",
+    "    for i in range(len(years)):\n",
+    "    \n",
+    "        year = years[i]\n",
+    "    \n",
+    "        # Define start and end month-day\n",
+    "        year_start = pd.to_datetime(f\"{year}-05-18\")\n",
+    "        year_end = pd.to_datetime(f\"{year}-10-17\")\n",
+    "    \n",
+    "        year_data = ensemble_data[\n",
+    "            (ensemble_data.index >= year_start) &\n",
+    "            (ensemble_data.index <= year_end)]\n",
+    "\n",
+    "        # Set zeros to count from\n",
+    "        observed_lowflow_days = 0\n",
+    "        modelled_lowflow_days = []\n",
+    "        modelmean_lowflow_days = 0\n",
+    "\n",
+    "        # Count observed lowflow days\n",
+    "        for j in range(len(year_data)):\n",
+    "\n",
+    "            observed_q = year_data.iloc[j][\"Observed discharge\"]\n",
+    "\n",
+    "            if observed_q < q_critical:\n",
+    "                observed_lowflow_days += 1\n",
+    "\n",
+    "        # Count model mean lowflow days\n",
+    "        for j in range(len(year_data)):\n",
+    "\n",
+    "            modelmean_q = year_data.iloc[j][\"Mean\"]\n",
+    "\n",
+    "            if modelmean_q < q_critical:\n",
+    "                modelmean_lowflow_days += 1\n",
+    "\n",
+    "        # Count modelled lowflow days\n",
+    "        for j in range(len(par_ensemble)):\n",
+    "\n",
+    "            set_lowflow_days = 0\n",
+    "\n",
+    "            for k in range(len(year_data)):\n",
+    "\n",
+    "                set_q = year_data.iloc[k][f\"Set {j+1}\"]\n",
+    "\n",
+    "                if set_q < q_critical:\n",
+    "                    set_lowflow_days += 1\n",
+    "\n",
+    "            modelled_lowflow_days.append(set_lowflow_days)\n",
+    "\n",
+    "        setavg_lowflow_days = np.mean(modelled_lowflow_days)\n",
+    "        \n",
+    "        lowflow_days.append({\n",
+    "            \"year\": year,\n",
+    "            \"observed\": observed_lowflow_days,\n",
+    "            \"modelmean\": modelmean_lowflow_days,\n",
+    "            \"set_1\": modelled_lowflow_days[0],\n",
+    "            \"set_2\": modelled_lowflow_days[1],\n",
+    "            \"set_3\": modelled_lowflow_days[2],\n",
+    "            \"set_4\": modelled_lowflow_days[3],\n",
+    "            \"set_5\": modelled_lowflow_days[4],\n",
+    "            \"set_avg\": np.round(setavg_lowflow_days)})\n",
+    "\n",
+    "    lowflow_days = pd.DataFrame(lowflow_days)\n",
+    "\n",
+    "    return lowflow_days"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 64,
+   "id": "15119a14-1470-4b9b-8665-1c257cbfdcef",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>year</th>\n",
+       "      <th>observed</th>\n",
+       "      <th>modelmean</th>\n",
+       "      <th>set_1</th>\n",
+       "      <th>set_2</th>\n",
+       "      <th>set_3</th>\n",
+       "      <th>set_4</th>\n",
+       "      <th>set_5</th>\n",
+       "      <th>set_avg</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2020</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>9</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2021</td>\n",
+       "      <td>30</td>\n",
+       "      <td>67</td>\n",
+       "      <td>71</td>\n",
+       "      <td>68</td>\n",
+       "      <td>70</td>\n",
+       "      <td>68</td>\n",
+       "      <td>53</td>\n",
+       "      <td>66.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2022</td>\n",
+       "      <td>34</td>\n",
+       "      <td>40</td>\n",
+       "      <td>47</td>\n",
+       "      <td>35</td>\n",
+       "      <td>39</td>\n",
+       "      <td>42</td>\n",
+       "      <td>32</td>\n",
+       "      <td>39.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2023</td>\n",
+       "      <td>27</td>\n",
+       "      <td>22</td>\n",
+       "      <td>31</td>\n",
+       "      <td>15</td>\n",
+       "      <td>21</td>\n",
+       "      <td>23</td>\n",
+       "      <td>12</td>\n",
+       "      <td>20.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2024</td>\n",
+       "      <td>34</td>\n",
+       "      <td>14</td>\n",
+       "      <td>38</td>\n",
+       "      <td>13</td>\n",
+       "      <td>14</td>\n",
+       "      <td>11</td>\n",
+       "      <td>1</td>\n",
+       "      <td>15.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   year  observed  modelmean  set_1  set_2  set_3  set_4  set_5  set_avg\n",
+       "0  2020         0          0      9      0      0      0      0      2.0\n",
+       "1  2021        30         67     71     68     70     68     53     66.0\n",
+       "2  2022        34         40     47     35     39     42     32     39.0\n",
+       "3  2023        27         22     31     15     21     23     12     20.0\n",
+       "4  2024        34         14     38     13     14     11      1     15.0"
+      ]
+     },
+     "execution_count": 64,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "lowflow_counter_ensemble(\n",
+    "    ensemble_data=ensemble_data,\n",
+    "    start_date=evaluation_start,\n",
+    "    end_date=validation_end_date)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/5_Climate_scenarios.ipynb b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/5_Climate_scenarios.ipynb
new file mode 100644
index 00000000..daf4258b
--- /dev/null
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/5_Climate_scenarios.ipynb
@@ -0,0 +1,586 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "4db569bd-a7df-4727-b1df-d1457e0fde6f",
+   "metadata": {},
+   "source": [
+    "# Climate scenarios"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3e323d17-b350-4980-a847-183fb7ea813f",
+   "metadata": {},
+   "source": [
+    "## 5.1 Description"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cc493cf2-4fbb-4f8d-8dd9-3c7ee203d7ae",
+   "metadata": {},
+   "source": [
+    "The model will be run for the future under various Shared Socioeconomic Pathway Scenarios (SSP’s). These scenarios represent different possible future outcomes depending on the increase in trapped radiation in the atmosphere. CMIP6 provides 5 scenarios ranging from SSP119 to SSP585. These outer extreme scenarios were not included in this study because recent emission trends and climate policy indicate these scenarios have become less plausible (van Vuuren et al., 2026). For a description of the scenarios used in this study see table 3. \n",
+    "\n",
+    "*Table 5.1: Table 3: description of various CMIP6 SSP’s from 2025-2099 (Government of Canada, 2019).*\n",
+    "\n",
+    "| **Scenarios**  | **Description**                    | **Global $\\Delta$T$^{\\circ}$C** | Period  |\n",
+    "|----------------|------------------------------------|---------------------------------|---------|\n",
+    "| SSP126         | “Middle of the road”: Trends do not shift from historical  patterns                         | 1,8      | 2025 - 2099 |\n",
+    "| SSP245         | “A rocky road”: Low international priority in addressing environmental concerns. High challenges to mitigation and adaptation, resurgent nationalism, slow economic growth.                        | 2,7                             | 2025 - 2099 |\n",
+    "| SSP370         | “A road divided”: Large gap between high and low tech economies, widening global disparities, diverse investment in fossil fuels and renewable energy sources.                        | 3,7                             | 2025 - 2099 |"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "52d8382b-f9c3-469b-af18-f975b1879ecf",
+   "metadata": {},
+   "source": [
+    "## 5.2 CMIP6 low flow comparison/validation"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5aeeb9a0-62dd-4342-82fd-8d999bfd4a0d",
+   "metadata": {},
+   "source": [
+    "To see if the CMIP6 dataset produces realistic model outcomes, historical low flow data will be compared to observed and ERA5 low flow data over a 25 year period from 1989-2014. It should be noted that CMIP6 is not a reanalysis model like ERA5 but a climate model, meaning it is not expected to reproduce the timing of peaks or wet and dry years precisely. Instead, model outcomes are expected to statistically match observed and ERA5 outcomes over a longer time period. Figure 11 shows the cumulative distribution of low flow days for this 25 year period. \n",
+    "\n",
+    "To match CMIP6 data to ERA5, quantile delta mapping may be applied. This is a correction method to align the distribution of climate model outputs with observational data and thus minimising distributional biases. This has been applied on forcing inputs using the adjust function from python module cmethods and discharge outputs using interp1d from scipy.interpolate. However, both did not yield better results and were therefore not used.\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6a350a59-dc70-4e4e-bd1a-722a4352c798",
+   "metadata": {},
+   "source": [
+    "### Startup & Imports"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "id": "de9878c0-b29f-4acd-852a-72854cf5ce87",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General python\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\", category=UserWarning)\n",
+    "\n",
+    "import numpy as np\n",
+    "from pathlib import Path\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import xarray as xr\n",
+    "from scipy.interpolate import interp1d\n",
+    "\n",
+    "# Niceties\n",
+    "from rich import print"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "id": "62d0bc46-4f32-464e-b482-195ad233332f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General eWaterCycle\n",
+    "import ewatercycle\n",
+    "import ewatercycle.models\n",
+    "import ewatercycle.forcing"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "id": "209a285e-e9f4-4bac-bdfe-57d871377fcb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Defining things\n",
+    "\n",
+    "basin_size = 132572\n",
+    "q_critical = 500"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "id": "fbc38b7f-b459-4203-b6e1-272647f05a5a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Choosing time period\n",
+    "\n",
+    "start_year = 1995\n",
+    "end_year = 2014\n",
+    "\n",
+    "validation_start = f\"{start_year}-01-01T00:00:00Z\"\n",
+    "validation_end = f\"{end_year}-12-31T00:00:00Z\"\n",
+    "\n",
+    "# Choose CMIP Scenario: \n",
+    "Scenario = \"historical\"    # Options: historical, ssp119, ssp126, ssp245, ssp,370, ssp585\n",
+    "\n",
+    "# Attach colours to scenarios to make plotting easier \n",
+    "colours = {\"historical\": \"tab:blue\", \"ssp126\": \"green\", \"ssp245\": \"orange\", \"ssp370\": \"red\"}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "id": "4774cae5-b6ee-42dd-8713-2aeac17ca5ef",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# # Create pathways for forcings\n",
+    "\n",
+    "forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"forcings\" / \"ERA5\" / f\"ERA5-{start_year}-{end_year}\"\n",
+    "\n",
+    "forcing_path_CMIP = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / Scenario / f\"CMIP6-{start_year}-{end_year}\"\n",
+    "\n",
+    "forcing_path_QDM = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / Scenario / f\"CMIP6-QDM-{start_year}-{end_year}\"\n",
+    "\n",
+    "discharge_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
+    "\n",
+    "shape_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "\n",
+    "hbv_config = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"hbv_config\"\n",
+    "hbv_config.mkdir(parents=True, exist_ok=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "id": "2080cade-6139-4002-be29-e53c964634bb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load CSV discharge 07DA001\n",
+    "\n",
+    "q_obs = pd.read_csv(discharge_file, skiprows=1)\n",
+    "q_obs = q_obs[[\"Date\", \"Value\"]].copy()\n",
+    "q_obs[\"Date\"] = pd.to_datetime(q_obs[\"Date\"])\n",
+    "q_obs = q_obs.rename(columns={\"Value\": \"discharge_m3s\"})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "id": "8658d9ea-cbe0-4c05-8852-1670e97c6fc2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Define time period\n",
+    "validation_start_date = pd.to_datetime(validation_start.replace(\"Z\", \"\"))\n",
+    "validation_end_date = pd.to_datetime(validation_end.replace(\"Z\", \"\"))\n",
+    "\n",
+    "# Skip 1 year for filling storages\n",
+    "evaluation_start = pd.to_datetime(f\"{validation_start_date.year + 1}-01-01\")\n",
+    "\n",
+    "# Align q_obs to relevant dates\n",
+    "q_obs = q_obs[(q_obs[\"Date\"] >= validation_start_date) & (q_obs[\"Date\"] <= validation_end_date)]\n",
+    "observed_output = pd.Series(data=q_obs[\"discharge_m3s\"].to_numpy(), name=\"Observed discharge\", index=q_obs[\"Date\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "id": "9ae1e827-bc39-4981-8468-9c26e979d6d7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load data\n",
+    "ERA5_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=forcing_path_ERA5)\n",
+    "\n",
+    "CMIP_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=forcing_path_CMIP)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "id": "384d2614-987c-48d2-afb2-e7eb0d69aa18",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load calibration constants\n",
+    "\n",
+    "par_ensemble = [\n",
+    "    [6.279135, 0.4808243, 174.127749, 1.9527195, 0.3305087, 6.19919, 0.0768362, 0.004366398, 0.4076606],\n",
+    "    [7.35776, 0.432509, 192.67085, 1.66088, 0.289296, 5.323766, 0.037268, 0.004399, 1.146504],\n",
+    "    [7.9355, 0.4593, 219.6962, 1.72624, 0.26391, 5.810765, 0.04804, 0.0155065, 0.76857],\n",
+    "    [5.5464, 0.46496, 187.8548, 1.82803, 0.440628, 6.29496, 0.062766, 0.033095, 0.80392],\n",
+    "   [7.23868, 0.47495, 181.82012, 1.8232, 0.4884032, 5.546412, 0.0449439, 0.00231717, 1.25052]]\n",
+    "\n",
+    "\n",
+    "par_names = [\"Imax\",         # Maximum interception storage\n",
+    "               \"Ce\",         # Evaporation correction factor\n",
+    "               \"Sumax\",      # Maximum soil moisture storage\n",
+    "               \"Beta\",       # Soil runoff parameter\n",
+    "               \"Pmax\",       # Maximum percolation rate\n",
+    "               \"Tlag\",       # Time lag\n",
+    "               \"Kf\",         # Fast reservoir recession coefficient\n",
+    "               \"Ks\",         # Slow reservoir recession coefficient\n",
+    "               \"FM\"]          # Snowmelt factor"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "id": "df6090f2-c132-4c1f-861b-feca6e9b1bca",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Storages\n",
+    "\n",
+    "#               Si,  Su, Sf, Ss, Sp\n",
+    "s_0 = np.array([0,  100,  0,  5,  0])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a3e70436-b290-4a70-a951-be4fb77a3074",
+   "metadata": {},
+   "source": [
+    "### Model setup"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "id": "5369ec54-1451-4397-b993-273c3f97324a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def run_hbv(parameters, initial_storages, forcing):\n",
+    "\n",
+    "    # Creating model object\n",
+    "    model = ewatercycle.models.HBV(forcing=forcing)\n",
+    "\n",
+    "    # Creating config file\n",
+    "    config_file, _ = model.setup(\n",
+    "        parameters=parameters,\n",
+    "        initial_storages=initial_storages,\n",
+    "        cfg_dir=hbv_config)\n",
+    "\n",
+    "    # Initialising model\n",
+    "    model.initialize(config_file)\n",
+    "\n",
+    "    # Define & update outputs\n",
+    "    Q_m = []\n",
+    "    time = []\n",
+    "\n",
+    "    while model.time < model.end_time:\n",
+    "        model.update()\n",
+    "        Q_m.append(model.get_value(\"Q\")[0])\n",
+    "        time.append(pd.Timestamp(model.time_as_datetime))\n",
+    "\n",
+    "    model.finalize()\n",
+    "\n",
+    "    # Convert mm/day to m3/s\n",
+    "    model_output_mmday = pd.Series(\n",
+    "        data=Q_m,\n",
+    "        index=time,\n",
+    "        name=\"Modelled discharge\")\n",
+    "\n",
+    "    model_output_m3s = model_output_mmday * basin_size * 1000 / 86400\n",
+    "\n",
+    "    return model_output_m3s"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "80009d98-d172-4707-8da7-44ea6c345118",
+   "metadata": {},
+   "source": [
+    "### Running model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "id": "b5319ba8-fc7b-4f54-b7a1-cff954ab2be4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def run_hbv_ensemble(par_ensemble, initial_storages, forcing):\n",
+    "\n",
+    "    # Define amount of parameter sets\n",
+    "    N = len(par_ensemble)\n",
+    "    \n",
+    "    # Create dataframe to append data to & add column for observed data\n",
+    "    ensemble_data = pd.DataFrame()\n",
+    "\n",
+    "    for i in range(N):\n",
+    "\n",
+    "        # Run HBV model for the parameter sets \n",
+    "        simulated = run_hbv(\n",
+    "            parameters=par_ensemble[i],\n",
+    "            initial_storages=initial_storages,\n",
+    "            forcing=forcing)\n",
+    "\n",
+    "        # Filter data by day only, not by day & time to prevent alignment issues\n",
+    "        simulated_daily = simulated\n",
+    "\n",
+    "        simulated_daily.index = pd.to_datetime(simulated_daily.index).tz_localize(None).normalize()\n",
+    "        simulated_daily.name = f\"Set {i+1}\"\n",
+    "         \n",
+    "        # Append new column for every parameter set results\n",
+    "        ensemble_data[f\"Set {i+1}\"] = simulated\n",
+    "\n",
+    "    # Filter observed data by day\n",
+    "    observed_daily = observed_output\n",
+    "    observed_daily.index = pd.to_datetime(observed_daily.index).tz_localize(None).normalize()\n",
+    "\n",
+    "    # Add mean of all sets\n",
+    "    ensemble_data[\"Mean\"] = ensemble_data.mean(axis=1)\n",
+    "    ensemble_data['Observed discharge'] = observed_daily\n",
+    "\n",
+    "    return ensemble_data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "id": "1f6be5d9-e9ec-4df6-b99c-6e894ef7d26f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ensemble_data_ERA5 = run_hbv_ensemble(\n",
+    "    par_ensemble=par_ensemble,\n",
+    "    initial_storages=s_0,\n",
+    "    forcing=ERA5_forcing)\n",
+    "\n",
+    "ensemble_data_CMIP = run_hbv_ensemble(\n",
+    "    par_ensemble=par_ensemble,\n",
+    "    initial_storages=s_0,\n",
+    "    forcing=CMIP_forcing)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "742dae79-fbcc-4a58-981f-e62488a10196",
+   "metadata": {},
+   "source": [
+    "### Lowflow calculation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "id": "46f5f06e-0e12-419b-9325-1ec965f11356",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def lowflow_counter_ensemble(ensemble_data, start_date, end_date):\n",
+    "    \n",
+    "    lowflow_days = []\n",
+    "\n",
+    "    years = list(range(start_date.year, end_date.year + 1))\n",
+    "\n",
+    "    for i in range(len(years)):\n",
+    "    \n",
+    "        year = years[i]\n",
+    "    \n",
+    "        # Define start and end month-day\n",
+    "        year_start = pd.to_datetime(f\"{year}-05-18\")\n",
+    "        year_end = pd.to_datetime(f\"{year}-10-17\")\n",
+    "    \n",
+    "        year_data = ensemble_data[\n",
+    "            (ensemble_data.index >= year_start) &\n",
+    "            (ensemble_data.index <= year_end)]\n",
+    "\n",
+    "        # Set zeros to count from\n",
+    "        observed_lowflow_days = 0\n",
+    "        modelled_lowflow_days = []\n",
+    "        modelmean_lowflow_days = 0\n",
+    "\n",
+    "        # Count observed lowflow days\n",
+    "        for j in range(len(year_data)):\n",
+    "            observed_q = year_data.iloc[j][\"Observed discharge\"]\n",
+    "\n",
+    "            if observed_q < q_critical:\n",
+    "                observed_lowflow_days += 1\n",
+    "\n",
+    "        # Count model mean lowflow days\n",
+    "        for j in range(len(year_data)):\n",
+    "            modelmean_q = year_data.iloc[j][\"Mean\"]\n",
+    "\n",
+    "            if modelmean_q < q_critical:\n",
+    "                modelmean_lowflow_days += 1\n",
+    "\n",
+    "        # Count modelled lowflow days\n",
+    "        for j in range(len(par_ensemble)):\n",
+    "            set_lowflow_days = 0\n",
+    "\n",
+    "            for k in range(len(year_data)):\n",
+    "                set_q = year_data.iloc[k][f\"Set {j+1}\"]\n",
+    "\n",
+    "                if set_q < q_critical:\n",
+    "                    set_lowflow_days += 1\n",
+    "\n",
+    "            modelled_lowflow_days.append(set_lowflow_days)\n",
+    "\n",
+    "        setavg_lowflow_days = np.mean(modelled_lowflow_days)\n",
+    "        \n",
+    "        lowflow_days.append({\n",
+    "            \"year\": year,\n",
+    "            \"observed\": observed_lowflow_days,\n",
+    "            \"modelmean\": modelmean_lowflow_days,\n",
+    "            \"set_1\": modelled_lowflow_days[0],\n",
+    "            \"set_2\": modelled_lowflow_days[1],\n",
+    "            \"set_3\": modelled_lowflow_days[2],\n",
+    "            \"set_4\": modelled_lowflow_days[3],\n",
+    "            \"set_5\": modelled_lowflow_days[4],\n",
+    "            \"set_avg\": np.round(setavg_lowflow_days)})\n",
+    "\n",
+    "    lowflow_days = pd.DataFrame(lowflow_days)\n",
+    "\n",
+    "    days_sum = lowflow_days[[\"observed\", \"modelmean\", \"set_1\", \"set_2\", \"set_3\", \"set_4\", \"set_5\", \"set_avg\"]].sum()\n",
+    "\n",
+    "    return lowflow_days"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "id": "679a1ce6-4557-435b-ab38-4e9f97a617d4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "lowflow_ERA5 = lowflow_counter_ensemble(\n",
+    "    ensemble_data=ensemble_data_ERA5,\n",
+    "    start_date=evaluation_start,\n",
+    "    end_date=validation_end_date)\n",
+    "\n",
+    "lowflow_CMIP = lowflow_counter_ensemble(\n",
+    "    ensemble_data=ensemble_data_CMIP,\n",
+    "    start_date=evaluation_start,\n",
+    "    end_date=validation_end_date)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "550c1adc-d371-4158-a156-dfd37273e962",
+   "metadata": {},
+   "source": [
+    "### CDF Calculation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "id": "e8cdd3fe-4527-43d5-8bb6-ac21bf11d5a2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def rank(lowflow_ERA5, lowflow_CMIP):\n",
+    "\n",
+    "    # Combine tables\n",
+    "    rank_table = pd.DataFrame({\n",
+    "        \"Observed\": np.sort(lowflow_ERA5[\"observed\"]),\n",
+    "        \"ERA5\": np.sort(lowflow_ERA5[\"set_avg\"]),\n",
+    "        \"CMIP6\": np.sort(lowflow_CMIP[\"set_avg\"]),})\n",
+    "    \n",
+    "    rank_table.insert(0, \"rank\", range(1, len(rank_table) + 1))\n",
+    "\n",
+    "    return rank_table"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "id": "b07f6791-152b-4214-9eda-d3b94bf9435a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "rank_table = rank(lowflow_ERA5, lowflow_CMIP)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "id": "962c3168-0a43-48bf-bedc-2276b27ff52f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def plot_cumsum(rank_table):\n",
+    "\n",
+    "    plt.figure(figsize=(8, 5))\n",
+    "\n",
+    "    # Plot cumsum for all columns, skipping rank column\n",
+    "    for i in range(1, len(rank_table.columns)):\n",
+    "        plt.plot(rank_table[\"rank\"], rank_table[rank_table.columns[i]].cumsum(), marker=\"o\", label=rank_table.columns[i])\n",
+    "\n",
+    "    # Plotting\n",
+    "    plt.xlabel(\"Ranked years\")\n",
+    "    plt.ylabel(\"Cumulative low flow days\")\n",
+    "    plt.xticks(rank_table[\"rank\"])\n",
+    "    plt.title(\"Cumulative annual low flow days\")\n",
+    "    # plt.grid(True)\n",
+    "    plt.legend()\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "id": "500631ec-14fe-4c7e-bc94-ffb65dc0fc17",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 800x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_cumsum(rank_table)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6c672c78-15ec-46e9-9d26-da316aa8a241",
+   "metadata": {},
+   "source": [
+    "**Figure 11:** Cumulative distribution of low flow days between 1989-2014 for historical, ERA5 and CMIP6 data. \n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "97b4e9a1-7cc8-4f32-8da9-3eb968697b84",
+   "metadata": {},
+   "source": [
+    "Figure 11 shows a slight deviation in CMIP6 low flow days compared to the observed and ERA5 curves, particularly in the lower and higher ranked years. This suggests that CMIP6 may slightly overestimate extremes i.e. driest years appear drier and wettest years appear wetter. Despite this, CMIP6 follows the general curve trend reasonably well and precisely reproduces the total number of low flow days. The observed data shows 532 total low flow days over this period, ERA5 537 days and CMIP6 532 days. Future CMIP6 forcings are therefore considered suitable for analysing trends in low flow days over long periods although extreme years should be interpreted with caution. "
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/6_Results.ipynb b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/6_Results.ipynb
new file mode 100644
index 00000000..f14af534
--- /dev/null
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/6_Results.ipynb
@@ -0,0 +1,1788 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "f95db18c-ac96-43f0-aff9-5a0feeaf38a3",
+   "metadata": {},
+   "source": [
+    "# Results"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c3545962-b925-487e-8af0-9db4b13c65ff",
+   "metadata": {},
+   "source": [
+    "## 6.1 Low flow climate analysis "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "75dce6f0-4c6b-4fc3-a43f-a7ecccbe04f9",
+   "metadata": {},
+   "source": [
+    "To evaluate low flow conditions, the annual low flow days were calculated for each climate scenario, shown in table 6.1. The future climate scenarios between 2025-2099 show an increase in annual low flow days compared to the observed historical period between 2000-2025. The observed period shows an average of 27 low flow days per year while future periods range from 31 to 49. \n",
+    "\n",
+    "*Table 6.1: Annual mean low flow days during the open water season under climate scenarios in 25 year periods.*\n",
+    "\n",
+    "| **Scenario**   | **Observed 2000-2025**  | 2025-2050 | 2050-2075  | 2075-2099 |\n",
+    "|----------------|-------------------------|-----------|------------|-----------|\n",
+    "| SSP126         | 27                      | 36        | 38         | 35        | \n",
+    "| SSP245         | 27                      | 40        | 38         | 31        |\n",
+    "| SSP370         | 27                      | 34        | 45         | 49        |\n",
+    "\n",
+    "Figure 12 shows annual low flow days for the observed period and future climate scenarios. Visually, SSP126 remains relatively stable between 2025-2099, while SSP245 shows a slight decreasing trend. SSp370 shows the clearest increase over time. This is consistent with the forcing data trends shown in Appendix D, where SSP370 shows the strongest increase in temperature and potential evaporation. For SSP245, the increase in precipitation may partly explain the decrease in low flow days between 2075-2099. To evaluate whether the fitted trends in annual low flow days were statistically meaningful, a linear regression was applied for each climate scenario. The p value of the fitted slope was used to test whether the trend was statistically significant using a threshold of 0,05. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b22692fd-a67e-41ca-91ef-f6889930d543",
+   "metadata": {},
+   "source": [
+    "### Startup & Imports"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "44aaf7ce-4fc2-438b-a539-d7a69eb45c25",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General python\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\", category=UserWarning)\n",
+    "\n",
+    "import numpy as np\n",
+    "from pathlib import Path\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import xarray as xr\n",
+    "from scipy.interpolate import interp1d\n",
+    "from scipy.stats import linregress\n",
+    "\n",
+    "# Niceties\n",
+    "from rich import print"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "3507c914-b4db-48ae-96ff-a146f9b0a3a4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General eWaterCycle\n",
+    "import ewatercycle\n",
+    "import ewatercycle.models\n",
+    "import ewatercycle.forcing"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "62bbbc99-afb6-4de6-b8b7-862bd3735fbc",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Defining things\n",
+    "\n",
+    "basin_size = 132572\n",
+    "q_critical = 500\n",
+    "\n",
+    "start_year = 2025\n",
+    "end_year = 2050"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "578e0810-07ab-4bdf-95e6-a06ba4a2d4ed",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Define only future scenarios\n",
+    "scenarios = [\"ssp126\", \"ssp245\", \"ssp370\"]\n",
+    "\n",
+    "# Redefine scenarios to include historical\n",
+    "scenarios_new = [\"historical\", \"ssp126\", \"ssp245\", \"ssp370\"]\n",
+    "\n",
+    "# Attach colours to scenarios to make plotting easier \n",
+    "colours = {\"historical\": \"tab:blue\", \"ssp126\": \"green\", \"ssp245\": \"orange\", \"ssp370\": \"red\"}\n",
+    "\n",
+    "# Define periods\n",
+    "periods = [[2025, 2050, 2075],\n",
+    "           [2050, 2075, 2099]]\n",
+    "\n",
+    "hist_periods = ([1989], [2014]) "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "f819dab1-c52f-464c-9ec8-f107fae004b1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create pathways\n",
+    "\n",
+    "def forcing_path_cmip(scenario, start_year, end_year):\n",
+    "    \n",
+    "    forcing_path = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / scenario / f\"CMIP6-{start_year}-{end_year}\"\n",
+    "    \n",
+    "    return forcing_path\n",
+    "\n",
+    "shape_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "\n",
+    "discharge_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
+    "\n",
+    "hbv_config = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"hbv_config\"\n",
+    "hbv_config.mkdir(parents=True, exist_ok=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "68e9fd3d-375f-4496-98b3-37b8b903fbac",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Adjust time period\n",
+    "\n",
+    "validation_start = f\"{start_year}-01-01T00:00:00Z\"\n",
+    "validation_end = f\"{end_year}-12-31T00:00:00Z\"\n",
+    "\n",
+    "# Define time period\n",
+    "validation_start_date = pd.to_datetime(validation_start.replace(\"Z\", \"\"))\n",
+    "validation_end_date = pd.to_datetime(validation_end.replace(\"Z\", \"\"))\n",
+    "\n",
+    "# Skip 1 year for filling storages\n",
+    "evaluation_start = pd.to_datetime(f\"{validation_start_date.year + 1}-01-01\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "194d418f-97c0-42d0-bcf0-047d91766a66",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load in observed discharge data\n",
+    "\n",
+    "q_obs = pd.read_csv(discharge_file, skiprows=1)\n",
+    "q_obs = q_obs[[\"Date\", \"Value\"]].copy()\n",
+    "q_obs[\"Date\"] = pd.to_datetime(q_obs[\"Date\"])\n",
+    "q_obs = q_obs.rename(columns={\"Value\": \"discharge_m3s\"})"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "19e65d1f-6ca5-4557-a055-3d6911cbdf31",
+   "metadata": {},
+   "source": [
+    "### Model Setup"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "e81db75b-c3f4-484e-99aa-e2afa77814e6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Define parameter ensemble\n",
+    "\n",
+    "par_ensemble = [\n",
+    "    [6.279135, 0.4808243, 174.127749, 1.9527195, 0.3305087, 6.19919, 0.0768362, 0.004366398, 0.4076606],\n",
+    "    [7.35776, 0.432509, 192.67085, 1.66088, 0.289296, 5.323766, 0.037268, 0.004399, 1.146504],\n",
+    "    [7.9355, 0.4593, 219.6962, 1.72624, 0.26391, 5.810765, 0.04804, 0.0155065, 0.76857],\n",
+    "    [5.5464, 0.46496, 187.8548, 1.82803, 0.440628, 6.29496, 0.062766, 0.033095, 0.80392],\n",
+    "   [7.23868, 0.47495, 181.82012, 1.8232, 0.4884032, 5.546412, 0.0449439, 0.00231717, 1.25052]]\n",
+    "\n",
+    "\n",
+    "par_names = [\"Imax\",         # Maximum interception storage\n",
+    "               \"Ce\",         # Evaporation correction factor\n",
+    "               \"Sumax\",      # Maximum soil moisture storage\n",
+    "               \"Beta\",       # Soil runoff parameter\n",
+    "               \"Pmax\",       # Maximum percolation rate\n",
+    "               \"Tlag\",       # Time lag\n",
+    "               \"Kf\",         # Fast reservoir recession coefficient\n",
+    "               \"Ks\",         # Slow reservoir recession coefficient\n",
+    "               \"FM\"]          # Snowmelt factor"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "e826bb2f-280b-4037-8c6f-a33a3e7a0e41",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Define initial storages\n",
+    "\n",
+    "#               Si,  Su, Sf, Ss, Sp\n",
+    "s_0 = np.array([0,  100,  0,  5,  0])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "54e49856-da5d-4ec3-b90e-cc67e36a9532",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Model configuration function\n",
+    "\n",
+    "def run_hbv(parameters, initial_storages, forcing):\n",
+    "\n",
+    "    # Creating model object\n",
+    "    model = ewatercycle.models.HBV(forcing=forcing)\n",
+    "\n",
+    "    # Creating config file\n",
+    "    config_file, _ = model.setup(\n",
+    "        parameters=parameters,\n",
+    "        initial_storages=initial_storages,\n",
+    "        cfg_dir=hbv_config)\n",
+    "\n",
+    "    # Initialising model\n",
+    "    model.initialize(config_file)\n",
+    "\n",
+    "    # Define & update outputs\n",
+    "    Q_m = []\n",
+    "    time = []\n",
+    "\n",
+    "    while model.time < model.end_time:\n",
+    "        model.update()\n",
+    "        Q_m.append(model.get_value(\"Q\")[0])\n",
+    "        time.append(pd.Timestamp(model.time_as_datetime))\n",
+    "\n",
+    "    model.finalize()\n",
+    "\n",
+    "    # Convert mm/day to m3/s\n",
+    "    model_output_mmday = pd.Series(\n",
+    "        data=Q_m,\n",
+    "        index=time,\n",
+    "        name=\"Modelled discharge\")\n",
+    "\n",
+    "    model_output_m3s = model_output_mmday * basin_size * 1000 / 86400\n",
+    "\n",
+    "    return model_output_m3s"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "e41394d6-dab4-4e43-9825-8e49b862dece",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Model running create function\n",
+    "\n",
+    "def run_hbv_ensemble(par_ensemble, initial_storages, forcing):\n",
+    "\n",
+    "    # Define amount of parameter sets\n",
+    "    N = len(par_ensemble)\n",
+    "    \n",
+    "    # Create dataframe to append data to & add column for observed data\n",
+    "    ensemble_data = pd.DataFrame()\n",
+    "\n",
+    "    for i in range(N):\n",
+    "\n",
+    "        # print(f\"Running parameter set {i+1}/{N}\")\n",
+    "\n",
+    "        # Run HBV model for the parameter sets \n",
+    "        simulated = run_hbv(\n",
+    "            parameters=par_ensemble[i],\n",
+    "            initial_storages=initial_storages,\n",
+    "            forcing=forcing)\n",
+    "\n",
+    "        # Filter data by day only, not by day & time to prevent alignment issues\n",
+    "        simulated_daily = simulated\n",
+    "\n",
+    "        simulated_daily.index = pd.to_datetime(simulated_daily.index).tz_localize(None).normalize()\n",
+    "        simulated_daily.name = f\"Set {i+1}\"\n",
+    "         \n",
+    "        # Append new column for every parameter set results\n",
+    "        ensemble_data[f\"Set {i+1}\"] = simulated\n",
+    "\n",
+    "    # Add mean of all sets\n",
+    "    ensemble_data[\"Mean\"] = ensemble_data.mean(axis=1)\n",
+    "\n",
+    "    return ensemble_data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ba3a79ac-9d31-4949-bd57-8d055430d55e",
+   "metadata": {},
+   "source": [
+    "### Lowflow setup"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "60a566a4-edff-4fef-aeb1-189bec494ed2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Lowflow count for the future\n",
+    "\n",
+    "def lowflow_counter_future(ensemble_data, start_date, end_date):\n",
+    "\n",
+    "    lowflow_days = []\n",
+    "\n",
+    "    years = list(range(start_date.year, end_date.year + 1))\n",
+    "\n",
+    "    for i in range(len(years)):\n",
+    "\n",
+    "        year = years[i]\n",
+    "\n",
+    "        year_start = pd.to_datetime(f\"{year}-05-18\")\n",
+    "        year_end = pd.to_datetime(f\"{year}-10-17\")\n",
+    "\n",
+    "        year_data = ensemble_data[\n",
+    "            (ensemble_data.index >= year_start) &\n",
+    "            (ensemble_data.index <= year_end)]\n",
+    "\n",
+    "        modelled_lowflow_days = []\n",
+    "\n",
+    "        # Count parameter set low-flow days\n",
+    "        for j in range(len(par_ensemble)):\n",
+    "\n",
+    "            set_lowflow_days = 0\n",
+    "\n",
+    "            for k in range(len(year_data)):\n",
+    "\n",
+    "                set_q = year_data.iloc[k][f\"Set {j+1}\"]\n",
+    "\n",
+    "                if set_q < q_critical:\n",
+    "                    set_lowflow_days += 1\n",
+    "\n",
+    "            modelled_lowflow_days.append(set_lowflow_days)\n",
+    "\n",
+    "        setavg_lowflow_days = np.mean(modelled_lowflow_days)\n",
+    "\n",
+    "        lowflow_days.append({\n",
+    "            \"year\": year,\n",
+    "            \"set_1\": modelled_lowflow_days[0],\n",
+    "            \"set_2\": modelled_lowflow_days[1],\n",
+    "            \"set_3\": modelled_lowflow_days[2],\n",
+    "            \"set_4\": modelled_lowflow_days[3],\n",
+    "            \"set_5\": modelled_lowflow_days[4],\n",
+    "            \"set_avg\": np.round(setavg_lowflow_days)})\n",
+    "\n",
+    "    lowflow_days = pd.DataFrame(lowflow_days)\n",
+    "\n",
+    "    return lowflow_days"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "cd520624-9985-4818-8ada-20d57ba485f7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Lowflow counter for the past \n",
+    "\n",
+    "def observed_lowflow_days(start_year=2000, end_year=2025):\n",
+    "\n",
+    "    observed_lowflows = []\n",
+    "\n",
+    "    for year in range(start_year, end_year + 1):\n",
+    "\n",
+    "        season_start = pd.to_datetime(f\"{year}-05-18\")\n",
+    "        season_end = pd.to_datetime(f\"{year}-10-17\")\n",
+    "\n",
+    "        year_data = q_obs[\n",
+    "            (q_obs[\"Date\"] >= season_start) &\n",
+    "            (q_obs[\"Date\"] <= season_end)]\n",
+    "\n",
+    "        lowflow_days = (year_data[\"discharge_m3s\"] < q_critical).sum()\n",
+    "\n",
+    "        observed_lowflows.append({\n",
+    "            \"year\": year,\n",
+    "            \"observed_lowflow_days\": lowflow_days})\n",
+    "\n",
+    "    observed_lowflows = pd.DataFrame(observed_lowflows)\n",
+    "\n",
+    "    observed_average = round(observed_lowflows[\"observed_lowflow_days\"].mean())\n",
+    "    observed_total = observed_lowflows[\"observed_lowflow_days\"].sum()\n",
+    "\n",
+    "    print(\"Observed average low-flow days/year:\", observed_average)\n",
+    "    print(\"Observed total low-flow days:\", observed_total)\n",
+    "\n",
+    "    return observed_lowflows, observed_average"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "faae1fb2-ced9-4af6-85ed-102006e8a865",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Observed average low-flow days/year: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">27</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Observed average low-flow days/year: \u001b[1;36m27\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Observed total low-flow days: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">703</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Observed total low-flow days: \u001b[1;36m703\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "observed_lowflows, observed_avg = observed_lowflow_days(start_year=2000, end_year=2025)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9cc4515f-6d36-49ad-8ac7-af15ce518c2d",
+   "metadata": {},
+   "source": [
+    "### Running model "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "31c8727b-fea5-404e-809e-d551bac9ee03",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Function for running one projection\n",
+    "\n",
+    "def run_one_projection(scenario, start_year, end_year):\n",
+    "\n",
+    "    print(f\"Running {scenario}, {start_year}-{end_year}\")\n",
+    "\n",
+    "    # Find forcing path for scenario and period\n",
+    "    forcing_path = forcing_path_cmip(\n",
+    "        scenario=scenario,\n",
+    "        start_year=start_year,\n",
+    "        end_year=end_year)\n",
+    "\n",
+    "    # Generate forcing\n",
+    "    CMIP_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=forcing_path)\n",
+    "\n",
+    "    # Run ensemble \n",
+    "    ensemble_data = run_hbv_ensemble(\n",
+    "        par_ensemble=par_ensemble,\n",
+    "        initial_storages=s_0,\n",
+    "        forcing=CMIP_forcing)\n",
+    "\n",
+    "    # Calculate lowflows\n",
+    "    lowflow_table = lowflow_counter_future(\n",
+    "        ensemble_data=ensemble_data,\n",
+    "        start_date=pd.to_datetime(f\"{start_year}-01-01\"),\n",
+    "        end_date=pd.to_datetime(f\"{end_year}-12-31\"))\n",
+    "\n",
+    "    return ensemble_data, lowflow_table"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "3d4ddfeb-9b75-42d2-9d83-11c1d32f1e31",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running ssp126, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2025</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2050</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running ssp126, \u001b[1;36m2025\u001b[0m-\u001b[1;36m2050\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running ssp126, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2050</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2075</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running ssp126, \u001b[1;36m2050\u001b[0m-\u001b[1;36m2075\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running ssp126, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2075</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2099</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running ssp126, \u001b[1;36m2075\u001b[0m-\u001b[1;36m2099\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running ssp245, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2025</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2050</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running ssp245, \u001b[1;36m2025\u001b[0m-\u001b[1;36m2050\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running ssp245, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2050</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2075</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running ssp245, \u001b[1;36m2050\u001b[0m-\u001b[1;36m2075\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running ssp245, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2075</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2099</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running ssp245, \u001b[1;36m2075\u001b[0m-\u001b[1;36m2099\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running ssp370, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2025</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2050</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running ssp370, \u001b[1;36m2025\u001b[0m-\u001b[1;36m2050\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running ssp370, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2050</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2075</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running ssp370, \u001b[1;36m2050\u001b[0m-\u001b[1;36m2075\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running ssp370, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2075</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2099</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running ssp370, \u001b[1;36m2075\u001b[0m-\u001b[1;36m2099\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Running every projection and storing data\n",
+    "\n",
+    "projection_data = {}\n",
+    "use_periods = []\n",
+    "\n",
+    "for scenario in scenarios:\n",
+    "    \n",
+    "    for i in range(len(periods[0])):\n",
+    "\n",
+    "        # Define start year\n",
+    "        start_year = periods[0][i]\n",
+    "        end_year = periods[1][i]\n",
+    "\n",
+    "        # Define key where data will be saved\n",
+    "        key = f\"{scenario}_{start_year}_{end_year}\"\n",
+    "\n",
+    "        # Run HBV\n",
+    "        ensemble_data, lowflow_table = run_one_projection(scenario=scenario, start_year=start_year, end_year=end_year)\n",
+    "\n",
+    "        # Save data in projection_data\n",
+    "        projection_data[key] = {\n",
+    "            \"ensemble\": ensemble_data,\n",
+    "            \"lowflow\": lowflow_table}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fd5f691e-55dc-4f09-8d50-5138b1593262",
+   "metadata": {},
+   "source": [
+    "### Display data "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "9418de41-94c2-4e17-9373-c5ff0e62d04f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Function for making lowflow table \n",
+    "\n",
+    "def create_lowflow_summary_table(projection_data, scenarios, periods):\n",
+    "\n",
+    "    rows = []\n",
+    "\n",
+    "    for scenario in scenarios:\n",
+    "\n",
+    "        # Define table rows \n",
+    "        row = {\"scenario\": scenario}\n",
+    "\n",
+    "        # Put observed data in table\n",
+    "        row[\"Observed 2000-2025\"] = round(observed_avg)\n",
+    "\n",
+    "        for i in range(len(periods[0])):\n",
+    "\n",
+    "            # Define period\n",
+    "            start_year = periods[0][i]\n",
+    "            end_year = periods[1][i]\n",
+    "\n",
+    "            # Take data for relevant scenario and period \n",
+    "            key = f\"{scenario}_{start_year}_{end_year}\"\n",
+    "            period_name = f\"{start_year}-{end_year}\"\n",
+    "\n",
+    "            # Extract data from projection_key\n",
+    "            lowflow_table = projection_data[key][\"lowflow\"]\n",
+    "\n",
+    "            # Put extracted data in new table\n",
+    "            row[period_name] = round(lowflow_table[\"set_avg\"].mean())\n",
+    "\n",
+    "        rows.append(row)\n",
+    "\n",
+    "    return pd.DataFrame(rows)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "9a04d440-878a-46ae-b047-15dab562c917",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>scenario</th>\n",
+       "      <th>Observed 2000-2025</th>\n",
+       "      <th>2025-2050</th>\n",
+       "      <th>2050-2075</th>\n",
+       "      <th>2075-2099</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>ssp126</td>\n",
+       "      <td>27</td>\n",
+       "      <td>36</td>\n",
+       "      <td>38</td>\n",
+       "      <td>35</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>ssp245</td>\n",
+       "      <td>27</td>\n",
+       "      <td>40</td>\n",
+       "      <td>38</td>\n",
+       "      <td>31</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>ssp370</td>\n",
+       "      <td>27</td>\n",
+       "      <td>34</td>\n",
+       "      <td>45</td>\n",
+       "      <td>49</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  scenario  Observed 2000-2025  2025-2050  2050-2075  2075-2099\n",
+       "0   ssp126                  27         36         38         35\n",
+       "1   ssp245                  27         40         38         31\n",
+       "2   ssp370                  27         34         45         49"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Show lowflow table\n",
+    "\n",
+    "summary_table = create_lowflow_summary_table(\n",
+    "    projection_data=projection_data,\n",
+    "    scenarios=scenarios,\n",
+    "    periods=periods)\n",
+    "\n",
+    "summary_table"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "f0509863-c25f-47d9-bf62-6463e2f07fdf",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Function for plotting future lowflows \n",
+    "\n",
+    "def plot_annual_lowflow_days(projection_data, scenarios, periods, observed_lowflows):\n",
+    "\n",
+    "    plt.figure(figsize=(9, 5))\n",
+    "\n",
+    "    # Plot observed historical low flow days\n",
+    "    observed_data = observed_lowflows.copy()\n",
+    "\n",
+    "    plt.scatter(observed_data[\"year\"], observed_data[\"observed_lowflow_days\"], color=colours[\"historical\"], alpha=0.5, label=\"historical\")\n",
+    "\n",
+    "    # Historical trendline for 2000-2025\n",
+    "    x = observed_data[\"year\"].values\n",
+    "    y = observed_data[\"observed_lowflow_days\"].values\n",
+    "\n",
+    "    slope, intercept = np.polyfit(x, y, 1)\n",
+    "    trend = slope * x + intercept\n",
+    "\n",
+    "    plt.plot(x, trend, linestyle=\"--\", color=colours[\"historical\"])\n",
+    "\n",
+    "    # Plot future scenarios\n",
+    "    for scenario in scenarios:\n",
+    "\n",
+    "        all_years = []\n",
+    "        all_lowflows = []\n",
+    "\n",
+    "        for i in range(len(periods[0])):\n",
+    "\n",
+    "            start_year = periods[0][i]\n",
+    "            end_year = periods[1][i]\n",
+    "\n",
+    "            key = f\"{scenario}_{start_year}_{end_year}\"\n",
+    "\n",
+    "            lowflow_table = projection_data[key][\"lowflow\"]\n",
+    "\n",
+    "            years = lowflow_table[\"year\"].values\n",
+    "            lowflows = lowflow_table[\"set_avg\"].values\n",
+    "\n",
+    "            all_years.extend(years)\n",
+    "            all_lowflows.extend(lowflows)\n",
+    "\n",
+    "        scenario_data = pd.DataFrame({\n",
+    "            \"year\": all_years,\n",
+    "            \"set_avg\": all_lowflows})\n",
+    "\n",
+    "        scenario_data = scenario_data.sort_values(\"year\")\n",
+    "\n",
+    "\n",
+    "        # Plot yearly low flow days\n",
+    "        plt.scatter(scenario_data[\"year\"], scenario_data[\"set_avg\"], color=colours[scenario], alpha=0.30, label=scenario)\n",
+    "\n",
+    "        # Plot trendline for 2025-2099\n",
+    "        x = scenario_data[\"year\"].values\n",
+    "        y = scenario_data[\"set_avg\"].values\n",
+    "\n",
+    "        slope, intercept = np.polyfit(x, y, 1)\n",
+    "        trend = slope * x + intercept\n",
+    "\n",
+    "        plt.plot(x, trend, linestyle=\"--\", color=colours[scenario])\n",
+    "\n",
+    "    plt.xlabel(\"Year\")\n",
+    "    plt.ylabel(\"Annual low flow days\")\n",
+    "    plt.title(\"Annual low flow days in LAR basin by climate scenario\")\n",
+    "    plt.grid(True)\n",
+    "    plt.legend()\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "f0476652-7102-4de6-8be3-cdb28408cba8",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 900x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Show lowflow plot\n",
+    "\n",
+    "plot_annual_lowflow_days(\n",
+    "    projection_data=projection_data,\n",
+    "    scenarios=scenarios,\n",
+    "    periods=periods,\n",
+    "    observed_lowflows=observed_lowflows)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "edfaeec4-5096-4166-8ff5-4927fe8390ec",
+   "metadata": {},
+   "source": [
+    "**Figure 12:** Annual low flow days and trendline between 2000-2099 under climate scenarios."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "7675d9fe-bb67-43f0-83d5-7d76e32c5bf0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Calculate p values to determine trend statistical significance\n",
+    "\n",
+    "def slope_significance(projection_data, observed_lowflows):\n",
+    "    results = []\n",
+    "\n",
+    "    # Historical observed period\n",
+    "    x = observed_lowflows[\"year\"].values\n",
+    "    y = observed_lowflows[\"observed_lowflow_days\"].values\n",
+    "\n",
+    "    reg = linregress(x, y)\n",
+    "\n",
+    "    results.append({\n",
+    "        \"scenario\": \"historical\",\n",
+    "        \"p_value\": reg.pvalue})\n",
+    "\n",
+    "    # Future scenarios\n",
+    "    for scenario in scenarios:\n",
+    "        all_years = []\n",
+    "        all_lowflows = []\n",
+    "\n",
+    "        for i in range(len(periods[0])):\n",
+    "            start_year = periods[0][i]\n",
+    "            end_year = periods[1][i]\n",
+    "\n",
+    "            key = f\"{scenario}_{start_year}_{end_year}\"\n",
+    "            lowflow_table = projection_data[key][\"lowflow\"]\n",
+    "\n",
+    "            all_years.extend(lowflow_table[\"year\"].values)\n",
+    "            all_lowflows.extend(lowflow_table[\"set_avg\"].values)\n",
+    "\n",
+    "        reg = linregress(all_years, all_lowflows)\n",
+    "\n",
+    "        results.append({\n",
+    "            \"scenario\": scenario,\n",
+    "            \"p_value\": reg.pvalue})\n",
+    "\n",
+    "    return pd.DataFrame(results)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "id": "0e08eb92-7a5b-404c-914b-cc26d2984d95",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>scenario</th>\n",
+       "      <th>p_value</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>historical</td>\n",
+       "      <td>0.349174</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>ssp126</td>\n",
+       "      <td>0.483318</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>ssp245</td>\n",
+       "      <td>0.188232</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>ssp370</td>\n",
+       "      <td>0.053621</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     scenario   p_value\n",
+       "0  historical  0.349174\n",
+       "1      ssp126  0.483318\n",
+       "2      ssp245  0.188232\n",
+       "3      ssp370  0.053621"
+      ]
+     },
+     "execution_count": 30,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Show slope significanc output\n",
+    "\n",
+    "slope_results = slope_significance(projection_data=projection_data, observed_lowflows=observed_lowflows)\n",
+    "\n",
+    "slope_results"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "998b6cb6-09d2-418f-9651-4db8a8b88636",
+   "metadata": {},
+   "source": [
+    "The significance of the fitted slopes in Figure 12  show p values of 0,48 for SSP126, 0,19 for SSP245 and 0,054 for SSP370. The trends for SSP126 and SSP245 are not statistically significant as p >> 0,05. The trend is clearest for SSP370, where the p value lies very close to 0,05 although still exceeding the threshold. This suggests there is close to significant evidence for a long term increase in low flow days, although year to year variability remains large. This is expected due to the natural climate variability and multi year climate cycles such as El Niño and La Niña. It is also notable that the evidence for a long term trend becomes stronger as the severity of the climate scenario increases. \n",
+    "\n",
+    "Figure 13 shows the cumulative distribution frequency (CDF) of annual low flow days for the observed period and future climate scenarios. The future scenarios shifted upward compared to the observed period, indicating that years with many low flow days become more frequent. This shift is strongest for SSP370, followed by SSP245 and SSP126, suggesting low flow occurrence increases with scenario severity. The observed period does not exceed 60 low flow days, while more than 20% of future years exceed this value. The magnitude of the highest low flow years also increases strongly in the future scenarios with annual total exceeding 100 days in several cases for each scenario. However, these should be interpreted with caution as the CMIP6 validation indicated that extreme years may be overestimated. \n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "id": "19fd5af5-4688-402e-9de6-7e738874287f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create CDF plotting function\n",
+    "\n",
+    "def plot_cdf(projection_data, scenarios, periods):\n",
+    "\n",
+    "    plt.figure(figsize=(8, 5))\n",
+    "\n",
+    "    # Observed CDF\n",
+    "    observed_values = np.sort(observed_lowflows[\"observed_lowflow_days\"].values)\n",
+    "    observed_cdf = np.arange(1, len(observed_values) + 1) / len(observed_values)\n",
+    "\n",
+    "    # plt.plot(observed_values,observed_cdf,marker=\"o\",label=\"Observed 2000-2025\")\n",
+    "    plt.plot(observed_cdf, observed_values, marker=\"o\", label=\"Observed 2000-2025\", color=colours[\"historical\"])\n",
+    "\n",
+    "    # Scenario CDFs\n",
+    "    for scenario in scenarios:\n",
+    "\n",
+    "        all_lowflows = []\n",
+    "\n",
+    "        for i in range(len(periods[0])):\n",
+    "\n",
+    "            start_year = periods[0][i]\n",
+    "            end_year = periods[1][i]\n",
+    "\n",
+    "            key = f\"{scenario}_{start_year}_{end_year}\"\n",
+    "\n",
+    "            lowflow_table = projection_data[key][\"lowflow\"]\n",
+    "\n",
+    "            all_lowflows.extend(lowflow_table[\"set_avg\"].values)\n",
+    "\n",
+    "        values = np.sort(all_lowflows)\n",
+    "        cdf = np.arange(1, len(values) + 1) / len(values)\n",
+    "\n",
+    "        plt.plot(cdf,values,marker=\"o\",label=scenario, color=colours[scenario])\n",
+    "\n",
+    "    plt.ylabel(\"Annual low flow days\")\n",
+    "    plt.xlabel(\"Cumulative probability\")\n",
+    "    plt.title(\"CDF of annual low flow days\")\n",
+    "    plt.grid(True)\n",
+    "    plt.legend()\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "id": "aab2ce06-24d1-4239-bdc4-fd118dd18632",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 800x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Show CDF plot\n",
+    "\n",
+    "plot_cdf(\n",
+    "    projection_data=projection_data,\n",
+    "    scenarios=scenarios,\n",
+    "    periods=periods)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "bdc449d2-5efc-4a4b-a5dc-cd1bf1a8080b",
+   "metadata": {},
+   "source": [
+    "**Figure 13:** CDF of annual low flow days for the observed period (2000-2025) and future scenarios (2025-2099). \n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "id": "64732f83-bdd6-49df-8440-65161eade40f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create quantile table function\n",
+    "\n",
+    "def lowflow_quantile_table(lowflow_results, scenarios, periods):\n",
+    "\n",
+    "    rows = []\n",
+    "\n",
+    "    for scenario in scenarios:\n",
+    "\n",
+    "        all_lowflows = []\n",
+    "\n",
+    "        for i in range(len(periods[0])):\n",
+    "\n",
+    "            start_year = periods[0][i]\n",
+    "            end_year = periods[1][i]\n",
+    "\n",
+    "            key = f\"{scenario}_{start_year}_{end_year}\"\n",
+    "            \n",
+    "            lowflow_table = lowflow_results[key][\"lowflow\"]\n",
+    "\n",
+    "            all_lowflows.extend(lowflow_table[\"set_avg\"].values)\n",
+    "\n",
+    "        values = pd.Series(all_lowflows)\n",
+    "\n",
+    "        # Append table and define quantiles \n",
+    "        rows.append({\n",
+    "            \"scenario\": scenario,\n",
+    "            \"mean\": round(values.mean(), 1),\n",
+    "            \"median\": values.median(),\n",
+    "            \"p50\": values.quantile(0.5),\n",
+    "            \"p75\": values.quantile(0.75),\n",
+    "            \"p90\": values.quantile(0.90),\n",
+    "            \"max\": values.max()})\n",
+    "\n",
+    "    return pd.DataFrame(rows)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "id": "e5d0d029-feac-4d3d-8a46-7e8555815166",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Show table\n",
+    "# lowflow_quantile_table(projection_data, scenarios, periods)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f37d718b-9bec-4367-8157-8e097d9d8565",
+   "metadata": {},
+   "source": [
+    "Table 6 summarises the distribution of annual low flow days for each future scenario. SSP370 has the highest mean, median, p75 and p90 values, indicating that both typical and relative dry years contain significantly more low flow days under the scenario with the most warming. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "32545009-9884-4cdc-b259-e96928f51eae",
+   "metadata": {},
+   "source": [
+    "*Table 6: Summary of statistics of annual low flow days for future climate scenarios between 2025-2099.* \n",
+    "\n",
+    "| **Scenario**   | mean  | median | p75  | p90 | max |\n",
+    "|----------------|-------------------------|-----------|------------|-----------|-------|\n",
+    "| SSP126         | 36                      | 31        | 52         | 74        | 143   |\n",
+    "| SSP245         | 37                      | 23        | 56         | 84        | 141   |\n",
+    "| SSP370         | 43                      | 43        | 63         | 93        | 130   |"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e29ffbbb-dbbe-4951-bd32-ed5c050ebe12",
+   "metadata": {},
+   "source": [
+    "## 6.2 Seasonal changes in navigational period "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "19ec21f3-1cc1-48d3-ae09-2e776ce792c5",
+   "metadata": {},
+   "source": [
+    "Besides low flow days, the timing of the open water season was re-evaluated for each climate scenario between 2025-2099 and compared to the historical period between 2000-2025. Figure 14 shows the distribution of estimated river break up dates. Compared to the historical period, all future scenarios show a shift toward earlier break up dates. The shift is strongest for SSP370, where break up occurs more frequently in March and early April. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "id": "6f6215ba-72f9-470c-96f3-ff7f474d883d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Function to calculate break up / freshet dates for every year and scenario\n",
+    "\n",
+    "q_critical = 500\n",
+    "\n",
+    "def find_breakup_dates(projection_data, start_year_hist, end_year_hist,start_year_fut, end_year_fut):\n",
+    "\n",
+    "    freshet_start_dates = []\n",
+    "\n",
+    "    for scenario in scenarios_new:\n",
+    "\n",
+    "        # Select years and discharge data depending on scenario\n",
+    "        if scenario == \"historical\":\n",
+    "\n",
+    "            start_year_use = start_year_hist\n",
+    "            end_year_use = end_year_hist\n",
+    "\n",
+    "            discharge_data = q_obs.copy()\n",
+    "            discharge_data[\"Year\"] = discharge_data[\"Date\"].dt.year\n",
+    "            \n",
+    "            discharge_col = \"discharge_m3s\"\n",
+    "\n",
+    "        else:\n",
+    "\n",
+    "            start_year_use = start_year_fut\n",
+    "            end_year_use = end_year_fut\n",
+    "\n",
+    "            discharge_data_list = []\n",
+    "\n",
+    "            for i in range(len(periods[0])):\n",
+    "\n",
+    "                start_year = periods[0][i]\n",
+    "                end_year = periods[1][i]\n",
+    "\n",
+    "                key = f\"{scenario}_{start_year}_{end_year}\"\n",
+    "\n",
+    "                period_data = projection_data[key][\"ensemble\"].copy()\n",
+    "\n",
+    "                period_data[\"Date\"] = pd.to_datetime(period_data.index)\n",
+    "                period_data[\"Year\"] = period_data[\"Date\"].dt.year\n",
+    "\n",
+    "                discharge_data_list.append(period_data)\n",
+    "\n",
+    "            discharge_data = pd.concat(discharge_data_list)\n",
+    "            discharge_data = discharge_data.drop_duplicates(subset=\"Date\", keep=\"first\")\n",
+    "            discharge_data = discharge_data.sort_values(\"Date\")\n",
+    "\n",
+    "            discharge_col = \"Mean\"\n",
+    "\n",
+    "        # Loop through every year\n",
+    "        for year in range(start_year_use, end_year_use + 1):\n",
+    "\n",
+    "            # Select data after March 1\n",
+    "            season_data = discharge_data[\n",
+    "                (discharge_data[\"Year\"] == year) &\n",
+    "                (discharge_data[\"Date\"] >= pd.to_datetime(f\"{year}-03-01\"))]\n",
+    "\n",
+    "            # Identify first day where q > q_critical\n",
+    "            above_critical = season_data[\n",
+    "                season_data[discharge_col] > q_critical]\n",
+    "\n",
+    "            if len(above_critical) > 0:\n",
+    "\n",
+    "                first_day = above_critical.iloc[0]\n",
+    "\n",
+    "                freshet_start_dates.append({\n",
+    "                    \"scenario\": scenario,\n",
+    "                    \"year\": year,\n",
+    "                    \"freshet_start_date\": first_day[\"Date\"],\n",
+    "                    \"discharge_m3s\": first_day[discharge_col]})\n",
+    "\n",
+    "    freshet_start_dates = pd.DataFrame(freshet_start_dates)\n",
+    "\n",
+    "    return freshet_start_dates"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "id": "312b6d81-13cb-4d38-9b9e-84c2e83c7b54",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Run function\n",
+    "\n",
+    "breakup_start_dates = find_breakup_dates(\n",
+    "    projection_data=projection_data,\n",
+    "    start_year_hist=2000,\n",
+    "    end_year_hist=2025,\n",
+    "    start_year_fut=2025,\n",
+    "    end_year_fut=2099)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "id": "05ad8b99-cce0-44c3-a540-538a5e23d20c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Function to plot results on a barchart\n",
+    "\n",
+    "def plot_freshet_barchart_10day(freshet_dates, title, colname):\n",
+    "\n",
+    "    data = freshet_dates.copy()\n",
+    "\n",
+    "    # Convert freshet start date to day-of-year\n",
+    "    data[\"doy\"] = data[colname].dt.dayofyear\n",
+    "\n",
+    "    # Define 10-day bins\n",
+    "    min_doy = int(data[\"doy\"].min())\n",
+    "    max_doy = int(data[\"doy\"].max())\n",
+    "\n",
+    "    bins = np.arange(min_doy, max_doy + 10, 10)\n",
+    "\n",
+    "    data[\"date_bin\"] = pd.cut(data[\"doy\"], bins=bins, right=False)\n",
+    "\n",
+    "    # Count number of freshet dates per scenario per bin\n",
+    "    count_table = (data.groupby([\"date_bin\", \"scenario\"]).size().reset_index(name=\"count\"))\n",
+    "\n",
+    "    # Create readable labels for bins\n",
+    "    bin_labels = []\n",
+    "\n",
+    "    for interval in count_table[\"date_bin\"].cat.categories:\n",
+    "        start_date = pd.Timestamp(\"2000-01-01\") + pd.Timedelta(days=int(interval.left) - 1)\n",
+    "        end_date   = pd.Timestamp(\"2000-01-01\") + pd.Timedelta(days=int(interval.right) - 2)\n",
+    "\n",
+    "        label = f\"{start_date.strftime('%b %d')}-{end_date.strftime('%b %d')}\"\n",
+    "        bin_labels.append(label)\n",
+    "\n",
+    "    label_map = dict(zip(count_table[\"date_bin\"].cat.categories, bin_labels))\n",
+    "    \n",
+    "    count_table[\"date_bin_label\"] = count_table[\"date_bin\"].map(label_map)\n",
+    "\n",
+    "    # Pivot for plotting\n",
+    "    plot_table = count_table.pivot_table(index=\"date_bin_label\", columns=\"scenario\", values=\"count\", fill_value=0)\n",
+    "\n",
+    "    # Remove bins where all scenarios have zero observations\n",
+    "    plot_table = plot_table.loc[plot_table.sum(axis=1) > 0]\n",
+    "\n",
+    "    # Plot\n",
+    "    plot_table.plot(kind=\"bar\", figsize=(10, 5), color=[colours[scenario] for scenario in plot_table.columns])\n",
+    "\n",
+    "    plt.xlabel(f\"{title} date range\")\n",
+    "    plt.ylabel(\"Number of years\")\n",
+    "    plt.title(f\"Distribution of {title} dates by climate scenario\")\n",
+    "    plt.grid(axis=\"y\")\n",
+    "    plt.legend(title=\"Scenario\")\n",
+    "    plt.xticks(rotation=45, ha=\"right\")\n",
+    "    plt.yticks(range(0, int(plot_table.to_numpy().max()) + 1, 3))\n",
+    "\n",
+    "    plt.tight_layout()\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "id": "c08dafbb-f79e-4f35-ae27-f3dd187a5491",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/tmp/ipykernel_232300/1249854821.py:19: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n",
+      "/tmp/ipykernel_232300/1249854821.py:36: FutureWarning: The default value of observed=False is deprecated and will change to observed=True in a future version of pandas. Specify observed=False to silence this warning and retain the current behavior\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1000x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_freshet_barchart_10day(freshet_dates=breakup_start_dates, colname=\"freshet_start_date\", title=\"Break up\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b8e4b742-7513-4202-919e-3cb90d9aca40",
+   "metadata": {},
+   "source": [
+    "**Figure 14:** Timing of river ice break up dates for historical period 2000-2025 and climate scenarios 2025-2099. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1d21e43b-bcd0-494a-bd91-eec148888a80",
+   "metadata": {},
+   "source": [
+    "Figure 15 shows the distribution of estimated freeze up dates. The future scenarios show a shift toward later freeze up dates compared to the historical period. This indicated that the open water season becomes longer under future climate scenarios. Again, this shift is strongest for SSP370, where freeze up occurs more frequently in middle to late November with outliers in December. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9c6266fb-bc48-483b-a9f5-759d736b9dcf",
+   "metadata": {},
+   "source": [
+    "### Extract & prepare forcing data for freeze up calculation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "id": "90f8b01b-3cd8-4817-9b22-da65ff5ab41e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Define vars for extraction\n",
+    "\n",
+    "var_names = {\"evspsblpot\", \"pr\", \"rsds\", \"tas\"}\n",
+    "\n",
+    "forcing_data = {}\n",
+    "annual_avg = []\n",
+    "period_avg = []\n",
+    "\n",
+    "for scenario in scenarios:\n",
+    "\n",
+    "    forcing_data[scenario] = {}\n",
+    "\n",
+    "    for var_name in var_names:\n",
+    "\n",
+    "        merged_data_list = []\n",
+    "\n",
+    "        for i in range(len(periods[0])):\n",
+    "\n",
+    "            start_year = periods[0][i]\n",
+    "            end_year = periods[1][i]\n",
+    "\n",
+    "            # Define file path\n",
+    "            forcing_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / scenario / f\"CMIP6-{start_year}-{end_year}\" / f\"combined_CMIP6_{start_year}_{end_year}_{var_name}.nc\"\n",
+    "            \n",
+    "            # Load file as dataset\n",
+    "            ds = xr.open_dataset(forcing_file)\n",
+    "\n",
+    "            # Load file as array\n",
+    "            da = ds[var_name]\n",
+    "\n",
+    "            # Convert to series \n",
+    "            series = pd.Series(data=da.values.squeeze(),index=pd.to_datetime(da[\"time\"].values).normalize(),name=var_name)\n",
+    "\n",
+    "            # Convert pr and evap from km^2/s to mm^2/day\n",
+    "            if var_name in [\"pr\", \"evspsblpot\"]:\n",
+    "                series = series * 86400\n",
+    "                annual = series.groupby(series.index.year).sum()\n",
+    "\n",
+    "            # Convert temp from Kelvin to Celcius\n",
+    "            elif var_name == \"tas\":\n",
+    "                series = series - 273.15\n",
+    "                annual = series.groupby(series.index.year).mean()\n",
+    "\n",
+    "            elif var_name == \"rsds\":\n",
+    "                annual = series.groupby(series.index.year).mean()\n",
+    "\n",
+    "            # Save for merged time series\n",
+    "            merged_data_list.append(series)\n",
+    "\n",
+    "            # Save annual values\n",
+    "            for year, annual_value in annual.items():\n",
+    "\n",
+    "                annual_avg.append({\n",
+    "                    \"scenario\": scenario,\n",
+    "                    \"period\": f\"{start_year}-{end_year}\",\n",
+    "                    \"year\": year,\n",
+    "                    \"variable\": var_name,\n",
+    "                    \"value\": annual_value})\n",
+    "\n",
+    "            # Save 25 year average\n",
+    "            period_avg.append({\n",
+    "                \"scenario\": scenario,\n",
+    "                \"period\": f\"{start_year}-{end_year}\",\n",
+    "                \"variable\": var_name,\n",
+    "                \"value\": annual.mean()})\n",
+    "\n",
+    "        # Merge periods into one 2025–2099 series\n",
+    "        merged_data = pd.concat(merged_data_list)\n",
+    "        merged_data = merged_data[~merged_data.index.duplicated(keep=\"first\")]\n",
+    "        merged_data = merged_data.sort_index()\n",
+    "\n",
+    "        forcing_data[scenario][var_name] = merged_data\n",
+    "\n",
+    "# Create summary table for annual avg values\n",
+    "annual_table = pd.DataFrame(annual_avg)\n",
+    "\n",
+    "# Create summary table for period avg values\n",
+    "period_table = pd.DataFrame(period_avg).pivot_table(index=[\"scenario\", \"period\"],columns=\"variable\",values=\"value\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "id": "692e6d03-9bae-44d3-9f24-5a7206714292",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Prepare historical data\n",
+    "\n",
+    "def load_hist(start_year, end_year):\n",
+    "\n",
+    "    forcing_data_hist = {}\n",
+    "    scenario = \"historical\"\n",
+    "    forcing_data_hist[scenario] = {}\n",
+    "    annual_avg = []\n",
+    "\n",
+    "    for var_name in var_names:\n",
+    "\n",
+    "        merged_data_list = []\n",
+    "    \n",
+    "        forcing_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / scenario / f\"CMIP6-{start_year}-{end_year}\" / f\"combined_CMIP6_{start_year}_{end_year}_{var_name}.nc\"\n",
+    "\n",
+    "        # Load file as dataset\n",
+    "        ds = xr.open_dataset(forcing_file)\n",
+    "\n",
+    "        # Load file as array\n",
+    "        da = ds[var_name]\n",
+    "\n",
+    "        # Convert to series \n",
+    "        series = pd.Series(data=da.values.squeeze(),index=pd.to_datetime(da[\"time\"].values).normalize(),name=var_name)\n",
+    "\n",
+    "        # Convert pr and evap from km^2/s to mm^2/day\n",
+    "        if var_name in [\"pr\", \"evspsblpot\"]:\n",
+    "            series = series * 86400\n",
+    "            annual = series.groupby(series.index.year).sum()\n",
+    "\n",
+    "        # Convert temp from Kelvin to Celcius\n",
+    "        elif var_name == \"tas\":\n",
+    "            series = series - 273.15\n",
+    "            annual = series.groupby(series.index.year).mean()\n",
+    "\n",
+    "        elif var_name == \"rsds\":\n",
+    "            annual = series.groupby(series.index.year).mean()\n",
+    "\n",
+    "        # Save for merged time series\n",
+    "        merged_data_list.append(series)\n",
+    "\n",
+    "        # Save annual values\n",
+    "        for year, annual_value in annual.items():\n",
+    "\n",
+    "            annual_avg.append({\n",
+    "                \"scenario\": scenario,\n",
+    "                \"period\": f\"{start_year}-{end_year}\",\n",
+    "                \"year\": year,\n",
+    "                \"variable\": var_name,\n",
+    "                \"value\": annual_value})\n",
+    "\n",
+    "        # Merge period into one series\n",
+    "        merged_data = pd.concat(merged_data_list)\n",
+    "        merged_data = merged_data[~merged_data.index.duplicated(keep=\"first\")]\n",
+    "        merged_data = merged_data.sort_index()\n",
+    "\n",
+    "        forcing_data_hist[scenario][var_name] = merged_data\n",
+    "            \n",
+    "    annual_hist_table = pd.DataFrame(annual_avg)\n",
+    "    \n",
+    "    return annual_hist_table, forcing_data_hist"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "id": "f645e6f7-14ae-46ca-b53b-21e42e83000e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Run function\n",
+    "\n",
+    "annual_hist_table, forcing_data_hist = load_hist(start_year=1989,end_year=2014)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "id": "9d5627b7-9b0e-4418-a8d5-2e2cbafb53f7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Merge forcing data (useful for freeze up calculation)\n",
+    "\n",
+    "forcing_data_all = forcing_data.copy()\n",
+    "\n",
+    "forcing_data_all[\"historical\"] = forcing_data_hist[\"historical\"]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cf7e74ca-1014-492f-816f-67147b56c1fd",
+   "metadata": {},
+   "source": [
+    "### Calculate freeze up dates"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "id": "449fdd42-58fd-4848-a3e6-c1bf6cc256e0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Function to calculate freeze up dates for every year and scenario\n",
+    "\n",
+    "AFDD_critical = 30\n",
+    "\n",
+    "def find_freezeup_dates(forcing_data, start_year_fut, end_year_fut, start_year_hist, end_year_hist):\n",
+    "\n",
+    "    AFDD_critical_dates = []\n",
+    "\n",
+    "    for scenario in scenarios_new:\n",
+    "\n",
+    "        # Extract temperature above surface (tas) data\n",
+    "        temp_data = forcing_data_all[scenario][\"tas\"]\n",
+    "\n",
+    "        # Convert into df to make life easier\n",
+    "        temp_data = pd.DataFrame({\"Date\": temp_data.index, \"Temp\": temp_data.values})\n",
+    "\n",
+    "        # Conver to datetime\n",
+    "        temp_data[\"Date\"] = pd.to_datetime(temp_data[\"Date\"])\n",
+    "\n",
+    "        # Assign year to each data point\n",
+    "        temp_data[\"Year\"] = temp_data[\"Date\"].dt.year\n",
+    "\n",
+    "        if scenario == \"historical\":\n",
+    "            \n",
+    "            start_year_use = start_year_hist\n",
+    "            end_year_use = end_year_hist\n",
+    "\n",
+    "        else:\n",
+    "\n",
+    "            start_year_use = start_year_fut\n",
+    "            end_year_use = end_year_fut\n",
+    "    \n",
+    "        # Loop through every year\n",
+    "        for year in range(start_year_use, end_year_use + 1):\n",
+    "\n",
+    "            # Start counting from October 1 to eliminate anomalies\n",
+    "            year_data = temp_data[\n",
+    "                (temp_data[\"Year\"] == year) &\n",
+    "                (temp_data[\"Date\"] >= pd.to_datetime(f\"{year}-10-01\"))]\n",
+    "\n",
+    "            # Set 0 as starting point for counting cumulative\n",
+    "            AFDD = 0\n",
+    "\n",
+    "            # Loop through all data points in a year\n",
+    "            for i in range(len(year_data)):\n",
+    "\n",
+    "                temp = year_data.iloc[i][\"Temp\"]\n",
+    "                date = year_data.iloc[i][\"Date\"]\n",
+    "\n",
+    "                # Cumulative AFDD\n",
+    "                if temp < 0:\n",
+    "                    AFDD += -temp\n",
+    "\n",
+    "                # Append when AFDD is critical\n",
+    "                if AFDD >= AFDD_critical:\n",
+    "\n",
+    "                    AFDD_critical_dates.append({\n",
+    "                        \"scenario\": scenario,\n",
+    "                        \"year\": year,\n",
+    "                        \"AFDD_critical_date\": date,\n",
+    "                        \"AFDD\": AFDD,\n",
+    "                        \"Temp\": temp})\n",
+    "                    \n",
+    "                    break\n",
+    "\n",
+    "    AFDD_critical_dates = pd.DataFrame(AFDD_critical_dates)\n",
+    "\n",
+    "    return AFDD_critical_dates"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "id": "8314f9f1-d1d1-4854-95f5-873682d6d648",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Run function\n",
+    "\n",
+    "freezeup_dates_future = find_freezeup_dates(\n",
+    "    forcing_data=forcing_data,\n",
+    "    start_year_fut=2025,\n",
+    "    end_year_fut=2099,\n",
+    "    start_year_hist=1989,\n",
+    "    end_year_hist=2014)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "id": "91bb6224-b16f-4589-98eb-a03f79be029b",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/tmp/ipykernel_232300/1249854821.py:19: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n",
+      "/tmp/ipykernel_232300/1249854821.py:36: FutureWarning: The default value of observed=False is deprecated and will change to observed=True in a future version of pandas. Specify observed=False to silence this warning and retain the current behavior\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1000x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Call barchart function\n",
+    "\n",
+    "plot_freshet_barchart_10day(freshet_dates=freezeup_dates_future, colname=\"AFDD_critical_date\", title=\"Freeze up\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "967f66c0-9471-46f7-b8ee-0fe83b01136e",
+   "metadata": {},
+   "source": [
+    "**Figure 15:** Timing of river freeze up dates for historical period 2000-2025 and climate scenarios 2025-2099. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d44c79cb-f885-485f-a9eb-1f84fcf16555",
+   "metadata": {},
+   "source": [
+    "Overall, the results indicate an expansion of the open water navigational season where under all climate scenarios, ice breaks up earlier and freezes up later compared to the historical period."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "05f79166-fc9f-4881-9ac0-5ffc116817e9",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1e14f19e-0bf2-4232-9dc9-14e1c68f5ad0",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/7_Discussion.ipynb b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/7_Discussion.ipynb
new file mode 100644
index 00000000..668c8fb8
--- /dev/null
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/7_Discussion.ipynb
@@ -0,0 +1,75 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "b304477c-8ec3-434b-b232-1407d2e51e64",
+   "metadata": {},
+   "source": [
+    "# 7. Discussion"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "952ffbe8-6911-4ab2-ad6f-d437f12fef47",
+   "metadata": {},
+   "source": [
+    "## 7.1 Key Findings and implications for navigation"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ad2f55ae-f649-43e5-885e-1acd56bbb150",
+   "metadata": {},
+   "source": [
+    "This study shows that future low flow days are generally higher than in the historical period, although clear long term trends over time are only visible under SSP370. The observed period contains an average of 27 annual low flow days, while future periods range from 31 to 49 annual low flow days depending on the climate scenario. SSP370 shows the clearest increase in low flow days between 2025-2099 and is the only scenario approaching statistical significance, with a p value of 0,054 exceeding the 0,05 threshold. This suggests the evidence for a long term increase in low flow days becomes stronger under the most severe climate scenario. \n",
+    "\n",
+    "However, the distribution of annual low flow days shows that extreme low flow years become more frequent in all climate scenarios. This is most extreme for SSP370, where 25% of years exceed 60 low flow days in a year, equal to the observed period's most extreme year. The magnitude of extreme years with the number of low flow days also increases as the most extreme year for all climate scenarios exceeds 130 low flow days, compared to the 60 days of the observed period. This is important for navigation because impacts are stronger when low flow conditions last several weeks or months. This would negatively affect indigenous communities that depend on the river for hunting, fishing, travel and transportation of resources. The severity of these impacts is scenario dependent and becomes stronger under SSP370, where both the long term trend and frequency of extreme years increase. \n",
+    "\n",
+    "The seasonal river ice break up and freeze up analysis shows that the open water season expands under all future climate scenarios. River ice break up shifts from late April in the historical period toward early to mid April in the future scenarios. Freeze up shifts from early November in the historical period toward early to mid November for SSP126 and SSP245 and from mid to late November for SSP370. An expansion of the open water season may improve transportation potential because river navigation does not require the construction and maintenance of ice roads. A longer open water period may increase navigation flexibility and accessibility. However, if current ice road days are replaced by warmer open water days with low flows, transportation may become limited entirely. An expansion of the open water season can therefore be problematic for indigenous communities. \n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f10bec21-b4f2-466d-85be-464045f9a66e",
+   "metadata": {},
+   "source": [
+    "## 7.2 Research Limitations"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2cf20103-927a-4eee-ab86-145ced578b93",
+   "metadata": {},
+   "source": [
+    "A limitation of this study is regarding conceptual HBV model errors. The LAR basin has a complex structure of which some elements are not accounted for in the model. For example, the model does not explicitly account for glacier melt or non contributing areas created by potholes in the landscape. The unpredictability of ice jams make high flow or flood timings difficult to model. Using an ensemble of hydrological models or HBV model adaptations that explicitly include glacier melt, pothole storage and ice jams may yield more reliable results. \n",
+    "\n",
+    "This study only uses MPI-ESM1-2 as the earth system model within CMIP6 in generating the forcing data. A more reliable approach would use an ensemble of CMIP6 models or Canada specialised CMIP6 models, allowing uncertainty between climate models to be assessed. \n",
+    "\n",
+    "Another limitation is that the model assumes hydrological behaviour to remain constant over time. The HBV parameters are calibrated over a 20 year period and validated over a 5 year period but applied to future periods up to 2099. However, processes in the river basin may change over time. As mentioned in Chapter 2, snowfall contribution to total precipitation has decreased over time and might change further as temperatures keep rising. This could influence snow storages in the model, altering timing of runoff. Soil behavior may also change, for example through changes in seasonal frozen ground. This influences soil infiltration and HBV calibration parameters such as maximum soil moisture storage, soil runoff and maximum percolation rate. Therefore, the basin may respond differently to water in the future. \n",
+    "\n",
+    "Finally, the usage of a fixed open water period does not account for ice break up occurring earlier causing a shift in the hydrograph. Winter precipitation is partly stored as snow and released during spring melt when temperatures exceed 0 ℃. After this period, precipitation falls as rain instead of snow. If break up occurs substantially earlier under future scenarios, part of this snowmelt driven freshet as well as a fraction of rainfall may occur before the fixed start date of 18 May. As a result of this, the period after 18 May may appear drier when in reality, the seasonal hydrograph is shifted in time. For example, days in April that were frozen in the historical period may become high flow days instead. At the same time, high flow days occurring in July during the historical period may now become low flow days. \n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/8_Conclusion.ipynb b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/8_Conclusion.ipynb
new file mode 100644
index 00000000..7827e424
--- /dev/null
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/8_Conclusion.ipynb
@@ -0,0 +1,81 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "68c4f63c-35cb-453e-bc48-3349b654b433",
+   "metadata": {},
+   "source": [
+    "# 8. Conclusion"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "983f04be-f39f-4ad0-8b84-614f69a43fcb",
+   "metadata": {},
+   "source": [
+    "## 8.1 Conclusion"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "55b90f17-1ec9-4c71-b7d0-89b21dbef406",
+   "metadata": {},
+   "source": [
+    "This study answers the research question: *“How will climate change impact discharge in the Lower Athabasca River in Canada and what implications this has for navigation?”* A critical discharge of 500 $m^3/s$ was used to identify low flow conditions that will restrict navigation at 8 critical points in the river. This threshold was applied within a fixed open water season from 18 May to 17 October. The hydrological model HBV was calibrated and validated using discharge data at Fort McMurray and ERA5 forcing data. The model was then forced with CMIP6 climate data under climate scenarios SSP126, SSP245 and SSP370 to analyse future annual low flow days in this fixed open water season between 2025-2099. \n",
+    "\n",
+    "The results indicate that future low flow days are generally higher than in the historical period. The observed period contains an average of 27 low flow days per year, while future periods range between 31 and 49 low flow days depending on the climate scenario. A clear long term increase over time is only visible under SSP370, approaching statistical significance with a p value of 0,054. However, the distribution of annual low flow days shows that extreme low flow years become more frequent in all climate scenarios. This may suggest that navigation in the LAR may become more restricted in the future, especially during longer periods where discharge falls below the critical threshold. This is particularly relevant for Indigenous communities that depend on the river for hunting, fishing, travel and transportation of resources.\n",
+    "\n",
+    "The open water season is expected to expand under future climate scenarios. River ice break up occurs earlier in spring and freeze up occurs later in autumn. This may further impact communities if cold days where ice roads may be utilised are replaced by warmer days where navigation may be restricted due to low flows. Overall, climate change is expected to increase pressure on navigation in the LAR with the strongest impacts occurring under SSP370. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5f7b8ecc-7fd1-4f05-b024-0d70905b6e2d",
+   "metadata": {},
+   "source": [
+    "## 8.2 Future Recommendations"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c14793be-fa4e-47a1-8e9d-b97614f3cd32",
+   "metadata": {},
+   "source": [
+    "Future research should focus on seasonal changes in navigation. The results show that winters become shorter and the open water season expands, but the effect of this on regional transportation needs to be further investigated. This could include analysing low flow days outside the fixed open water season used in this study, to assess whether earlier ice break up and later freeze up create additional periods of restricted navigation. \n",
+    "\n",
+    "Future research should use an ensemble of climate models and hydrological models to better assess uncertainty in the projected low flow results. \n",
+    "\n",
+    "Finally, future studies should also analyse high flow conditions and flood risk during the spring freshet. Earlier snowmelt and changing precipitation patterns may shift the timing and magnitude of high flows, which could influence flood risk and navigational controls in the LAR.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "fa2fb119-275f-4fab-be8f-947695359cc0",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/AI_Statement.ipynb b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/AI_Statement.ipynb
new file mode 100644
index 00000000..caeab22f
--- /dev/null
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/AI_Statement.ipynb
@@ -0,0 +1,49 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "cb2421af-e1a9-4664-b806-17d5a76a68c0",
+   "metadata": {},
+   "source": [
+    "# AI Statement"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ed849be7-2ba3-4ab3-a918-ca4724aa4eb6",
+   "metadata": {},
+   "source": [
+    "AI tools such as Scribbr have been used to aid with reference list generation: It should be noted outputs were manually checked.  The Language Learning Models (LLM) ChatGPT has been used for the generation of Figure 1. ChatGPT has also been used as a spelling and grammar checker for most parts of the report and used for minor improvements to improve readability. Finally, ChatGPT has been used as an assisting coding tool. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c0721f4f-489d-4785-bd3c-51aea87d3cce",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Figures/HBV_Visualisation.jpg b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Figures/HBV_Visualisation.jpg
new file mode 100644
index 0000000000000000000000000000000000000000..d76622e4415f71de865d54a0b0f8b414b87e1d4e
GIT binary patch
literal 68351
zcmeFZcT`hfyDl1<AjL>;LKIMtDjjJN6%Y~WT|h)?1f&NDgd)8ODkum@6RDy1-i!1S
z>5wSBB$N;!z{zia-*?Wwcbq%!@9eSnIpdCTSJpe$ADMH_`L4OfoX`6{&s>+kE|&q<
zpQ>r70Z2$l08ru&a5)Ef1Rx_N{p%zi<iwMLih_cioPwH?@(L9#H7zX-H4P2jHHPbS
z*XXa&&|GJ^PS421%*;#+WMyMvVq;)pX8P+UBxJ-o<P=vaD6TTm(a<sdFCUj}0D3CY
zPBJ$#5*`34JqZ~-$z>M+1OSjw5PSPqhyQtykP`cNg_7zjH4U*q^>qL#2^kqFIoV&m
zCYBB${tqChr(n1xu5yJ@*P4>YjY%RnF^h`#VR<{V-WY~Y@|AnYRcaPiHg=BNclZVF
z3Q9@K$jaT9fAm;YP5p_+Q+)$NBV!X&Gn?18cJ>aAP9C0K-ab%YztDGK;SrHh(McaZ
zeo9XH{3SIzCpYhV{*Qvfipr|$n%cVhhK|mz?w;Ph{(<p{$*F1NubJ5u6#Dm{)wT7F
zP3-=`;Suf_e{%YlUnBssf4KGEJ^R1;MNjmLl$@N5oboTfNJxE%Mn+FgaZCIPgNiPt
zwHqUkL@*W8!^Eue_N%;-dKl(c?qk#}d{Qg7v46StZ=U@<$3p%?p8a>n{)b<)09rB<
z;^2|d1HgcD{p@G~!2fUmS<m2gQm#;gx`CCE924MFuoV}EAP_n)0dNY<)ht2TQuFtc
z(?K9rCLNN0*aS}zg)kX+P=*#jK3d=#X>?qE6syOR=$5?jyV<z;OTZwsb+7#S&^Gy`
zo>yKju~uxmng+lx6<~I^fJful)O_9JDI0^Dnz|FEwL>m#@e^_e`5-?%$-?(E0PSZP
zRa9O~X%UL?@}pEQscweO>yVDAG68h|KV-%OOBh|Dx{^TPI?v{Xvx0V7ml@31qf_DG
z<2#<fWIZajp#Xg=A$a>^zKVzy?XV?1anXzxfeEelv|Xx;(X?9sS3&pFtRh+~ekMIE
z$InX@KQQFx`J4pbD?B>)JLm}H!cSq4D&m{_n|2+qC+xzv&e<Lpemg0A{sPS=olY48
zx2NiQ(-0BLj3mEq(<dE@K7Zb8a$a;nx42Q+?PV>K?v2s9Iv{_&?&j&MAmwPRdej@j
ztt^Yp(}=ImB05bOkF|u*GsYkA#<Bc6l^B$|AwBei@LS1mFD?OC=Isp8@gpw#&e|G3
z!_$q_cR!4TYGa@9DmQAIVcy{xu~8P9uou;~lzi}4>O+74%3P=S5I@_J^O{RQ<$O;?
z@9HhJSv574-yB#iD_m(sEtWs(kdCwcbT9G<4t(J&``#q`<(+Q0q{lrrg-Ei3St!DB
zOhojJXN-dXV6cxD)6=BkqACTF{@yppkie0ea<MK%f-DJT>goKGq4{8^I#9tk@&w$-
zn3ou>SY(y!RcM6C*iE@fm*rpslY4S6S0aUtTjr-T<C=U|=!{YD4oH-~QC;&?(}`z6
z@h-VH`uK6}*Uau-?ME+MJ2V}#&y$)U719<5o3>^0UsKV4E&+*KxL22eQd#in%~8tI
z`HSh~6j`%{($M8*c$W`{NM}1NS%Zz9Vspk0a84;Lo6zb|#JLo-g<7I+OlyAi<ZwaB
z_L-uOL|v>4ccD4|h9TU}-z2*VpUBgb^?TYyw&uPf2Zrlz>fEw@=n;Fcd|)QJFV!uc
znXYG4yG&SsYy#|%0Nhw)#Q1ci15Kw~oDY+yZzbq9K=R|#pPUTJ-9IYf5^IB39!+OC
zGiOFOZPmQxiSsJZup1#`FA<v^Ueky_Sa~x$I9K}N5^$AVMBxQ`a3<czzS_&EMF7v`
z>c*6OyvVBYDOl}cQ0N@<sS9_t(|t8&UEFNJB>?CewU>iDRQ#eQQKIZ(nRd#-ErVbC
zPEf>JB)qd3s}`{`%$U@4rb`W%AnB3N=8{jH#d}~~I#F~}7a7y6sduVhKB%8?oxFOT
z``z^?H%~(?9Z_&DJiODYswcs#VC04o(oc3*%*0N*zi-g{N-0#+v;qt7J@@FEecWMj
zrBh4Oac}HNv?(P&9l?ZaYoI83)I?fVwfjt3*?ZwD0%Gp$U30uIV`w|#;!;zaxMzq4
zaUF#^qd>G9rzJ<zpH>tQk~_6Vxdo!)<?Im)T)qe$Olyo3oMYo|p@ZK$`HYP1zS`?I
z3IyM(FRQx2=?RXM5lx!;8;d*>)+rsvqxbwbY(&eS0T<v8)cptt%=Q}JcWT#=eW!$|
z0l8lT*Vi01RUz9)aeI3r(`h+h#+t+-c@RJ40?gJ6=jZ)v`$wF2UElo}yB_G4p+b3r
zw8`0$e+YYq<<rgEbdtfj^}pR8{4Dbt?SxaV{=<EDLXnj<@{k4*AuB{2DjLfk4le1>
z-M=pZ>~H1Bm@>dvz6@5Zc2`<1c*A`|1~(ey*U#$=2)tA0sG0oquE_LkNyb7#VecsJ
zBfpvZhrl6%X0qRNFn7y7QvJ_w3yf7aCy*4X-EDPU@sY^nm{UV}NYD6<e!lkSzs9AH
zr2AkG@Do00U{ofxaQ>(l;_6~c={Tp*KI;y>uh_88C#5<i!L=Uv)xl-42x9k+SZk63
zK%EUAS>;oE@@j<0zEE*J;7={WCZLe-6g{v-%iZC@1?HQ_nuUrxB8cJg{3HU)`qe`m
z;x*yd9G)Kgs4Gw!KZO-inTAOhwda-eeoT>-?0QwBll!KlCeY<q>D)3fs`Sm#2pddk
z(mrW*uaotqx%S;bO~;!H^n6D*uU{<&hxjdorSxV-r>b_(>p1zamJiVt$JJ;sI-Y#w
z&e?d5cZXNCLR_P2liSXdC!SYUeQ7&+_KOmvBS5y!A&?zJ{eRRD{O38YyHdnwxnANd
z*)~!#)6>mKUhw{PfB@OFz<1S)0`LOUDL^1Q`fr(#P*)(!7{Mw(jm}l8dg@IK<-RD2
z;g0&FP_rr>O3F(BHE0ESe$|Zsf`lJ$tmV2Q!ZL1t_15^#tE3LF;8^la+N%>ze!x74
z?gI)YqUlwR6-%9zuGUnAUv*jfSqB{@6S84<)sGk4VIs+N{pMJc>REIBS3C2^yqLM%
zm%J`#Gu%h41fJRZsU23^gH{r4^iCH#KiSz7l;jRe%mhf&;}dPZ3wMl<b6QKXzE=zO
zDc{sCD24P`(Nt-(;DJV%va0BwfeRVX`a0|2`+Yuu4_zqU*hUrLX333_#bt&_l?e6J
z$Z!n(NhP=QWZ-3Hqm_{3GbqCNw^OyJbfi9c=}uLxjVbMj-pr3iJXNgPlxn;)c8%U;
zha2((CdiT5EpXJB22qHklUgc2Pgd<8hMu^^zG{qd1^(J-Fi7SI$Yn9w4twmTMjD%-
zVrF1y+&$f;cJFIdw1$}WBrjEWO~cpTP6U}bOcC?bOtq3ym-pv(Q5B1~@LL7i)TQRK
znn~wbnjgG%VGX&_Y@m)}-536;cTl^v5{Ioc8ytLbx5LvQb~{s9k$1tL<o7!L3<)D5
zJ(;eG@dlNOFOvn`>rXkxv-4C%7^FU#eQ+Mos$G5LVNbDBIX6PBMOHc;hZI!LVh;UI
zkj0cHNa_8;`#-NrzN<J1Etz`Ss?~-@+-Z0!7#j;g&^U$~1h~)%4joNJB`MU#UIpH`
z3$thbN#MqN$Od^rPO9%FZCOq2E}rSuC46#ZTXV|XjSp!&{m(*}|MB}EZk~UK|JE68
z-Bz->1mvjtoxcUM5rA;?5aqMViPYQ4bNV$+aOpA`wUsn({I_enpd*co_52ANiyz;P
z0MuRpCSBFPWy}Ylol8IwzUVn#HP;NU(B+p9c9gDdQ86*0Ga<@x)j(4si}Pb>yr1#J
zrvuj=B0lCx34(9CkHZfO<pDbvqy(LmZaB#y;`)|8Xh%~>EyBR@nyJez3fqOfdM#+}
zwm-U+1K){O?_wutB9=BeEDm*@<n7Yk6slyB_Ze)c-mSPdYI9dV>PZdj4Qld5Bf`A3
ze#^!ovYN*eugH|NlP)LZu-<9B1ibUpY6(3vgdS^Esc=<)kFzF!LP=tHkMg$w*~ZhA
zi(4>fj95ohNfy>8>hPRY^OFemqGnkg*OO9I(+9M17{MR0_zN6b47=^caf?wlN;s~Q
zEQ8cKoC4s0=f@@DZLypd391-moK%UuK_X2_N%7p*ADeFY=q-XH>Rh%>nRQZ8rKoRo
zqelFsvM;8t@HZ_Qi{QoUFSkaU$;PbIW7X1@6$1Fw+A|+cm~p<Jx1lw`BBh(pj2_m4
zE0J;8ZXf+cih*w}9LR12&VcERE_&Ga_TFso)zwUizF81nePjP>AW&~{s&yGLtI)ov
zfc1bn4VZ6f8Fbl&D4eMWz37pzQf<MX8YdBaFu05*zy-789)xpNz0i@<M)2N!vl)Cp
zN9Wly7{f18H@_yg-kA|5lIE4Y*cN)swHQ=7!~pA3Ug(H{fL>>4Y0=Q!XIoYWosmt~
zz@*P~@Sv^>kqXSVzSWH7(r=SNxE<z^Z}8X0JDnKGZdf%+h)o(Cz9?H=A7>k)%{51<
z#!l{AWVv?sT$L+!i87UK%nZaZ%V+O!qM|2vhze2w(nBkCu*SVw{Ox{*+c+Z*)w-!_
zN0F~tDVYlopKNQ8$D?^FyhQYlds`X37Oot3AGa`7Pf(Xs=e@gloB{~aOkPghF}0#Z
zr!L`&@m*q)t3wpA$$5>Pe}dfbs0J=45Gl+Mdkv8bZB(zVnDXq8)zy@0c~Oy%X{c-G
zos;g4*7}iqy1k3|;~Ai=Dln05_94_!9Tgp$M^n8gFsMF*Ygt_jj)-a!LTqvv75V!h
zpn-C*GYiY#E^eE#oqHT_z*WYfrPupukx6Z(dZy!3(GOL6hv5-<ZkBWv%5>O^td(<0
zi-u`}JPs&a{^GeE3nDbkXj`ce*&*WJncPZo#I^`=h;HtykLw$}@4cyjD}7>=TE(-|
za=PQ3X|wKT>dg)Nm0IQ{wmts)MJB_i`5b#k$BOaOBYEw(R)*i0<517KLz<vdL}aN=
z`NV4En#)B6@EbxDAB<hn$6KGN5bj~FI>U7*?o5<k%i;6Ze(UmwTPKb%T+Axcm?29$
zeJ9HvZe2(q|DZEpBNX5+(+3<d0SW{f&cZC};zw|ecm=6(VR0@oqX)Zh8>4F5MhXym
zU%xKrp5`oLt9Zk@CbL+**rfw;-pVm*i_vY@sfK}OC+ft}SVHgcY2@O?G#bY}=Q!sK
zC!5s8#S4tz0|m(l&-@cdjcvYL1&-}tU#R=%<Aq_0XZnGscW<Bh%wYGwy7cU(7mn<t
zUjq0nt<J8RUINztlw6an!AD#v_s5j)c?LXOoiM4a(fpMg{qVbyDy?q$aVYI?j^6}B
zY+|+8%uJK+_oukoj2u$axzEGg3SZdNdlW)u2tt#*P&7uz_brb(ZB2k;3k01I?0sx0
zFwsP^Vj7dCTVe^(yY-vR#+yELr#_fKggqkq=*);fMzeLx8%Qx}5!bE?GrlBqley+U
z!}E0GaxdQ3Z)*9v5&@nACox{2>Fr83`<_>_VP+jwRp&fbsyzJceuw&8#*=POIGvX!
zh%RtqiP0LFA3vho9KUFORn$c6%bRb%Zz%=$JSdf1smaTMnDy?6d3=+Sn9)#x;g+3!
z6+hI)daVX2rQnS5Ic`|{<&lV^wDlwU0_oyco6ZksvLv4vuy~Ca@@L&JMi|Eh{><PT
zFK)FLBbk5UBs1F9V9{i!{*i*NjIRC&@!E)%g!1M-)i+?;;eyOruN9-Bvnw2Z?(?Xo
ztdV|h&U90YnnDmrle!KwUYQ#Kz(lZiIp6W<7t=0*LuUoM)mJ{YwH-ampz~Oy#apbv
zBSFk9Jenvv9<HZP#6H<LdhEyLj3TYE;5I*CP~cT);fTsa_C!f;P#?DYD+@XU^82n{
zT9#2|^qJp*!qEmKkbhV|U(8moNOK3`6WA<6cmlTFW7}*v4%w|5xxS<gFLC@pa=Uvl
zCFx17Y9iZ*{*_3AQ2ZDSjuL_6(t;U{8mwsg*Je9kRg{IRMX9X`ePvAP2`DVhDX#7C
zAEL2}WUj%ohNCKPddlklpwBE|2>j%)fk8v9P!XM+ENu1iw(}F*tLn2q;gTkW)i(r2
z-F@-}mWE{NT{knAUl(e1q~BRso+9i{wHyxDsw0oYqTwts4O_=T%Z)`Y%pusu+Fm?i
zxZ%BfSA63G^gQx2K_9PM0@d!}rk&U(hKt)O#Y<JJB-Jx`i(EphEc36xKDR+v;(H=N
z^YgqJrmdjSSlW?ezY;rL+uM2~&`JZ}7F;?dLHv^QVKoaEnrUC3Of%9pyei$W?*I9R
znoi?BVW>|k3{SbN<!{n}6>UV>MvF;<YsE7DgdQ5|b)khHAQbUwSj{dFb>I!C+Un|>
zQPWg)oYB<opW0eST-SanKIN=lzlvn5+v^fgT`bE8yYaP+E!&AjOwQ`$x2TQCsiD}c
z42rFZa{0@#pm}L)p3MGR=D;zKzGbO#e`GRui=gt@RKabLnphj#T3;*YH?a^)LEX^m
zl+{bXGG~SYwiy{d64qoxTbt<M!=UaAw{d5e$$dxhKI^PFH})7|Y;-L+xR3W{G&W(j
zL$w}HhM;28kQ&RL`*{CnSonOP^zaLd!0~&~*#Rz)Hs*E46)QgW(%&B~PyE&PAH1<I
z6<Txi%o3)!@z4l1k<jm6ee5CaQAl^Dq23Q3A;in#e&Cf#@cJF{OR=7r(U*YhQd_-s
zYMKfbfhYxsP&o=ivX|HVs5h%F0TH#WWQr6&psU&-{6TjL{f3>2O@WjCCVj-+_Z@d$
zNdT)o;Wf(emB*Wn4JT#xpuOl_*aI3EM-$+6IvWPO^$E(af(B7t2tX6i+S`@3C{E3i
zSH0cIM*Tjwr@DYHwR%71+pdxIbn=cj&#l1YoiF(CWRJ18E4Izg+<1Ez?^6zJ;qO`F
zjlWzB$WB)T4z$p7JIS}_P<*~ZX-(x0%qnax+h)}vkk`m^Hr0Ct=$QvB9dsk??&4ns
zDP8<qYVoi1;(w8~7+_YT(BK#==8Idih^_#i2W8`8dYlkVpxCPd_T60Mlo$3A5Twl1
zkEKDYcbiUhb1Vk`-lRvQ<jtQvy#$CEacynmeLK>HElm4Wd+4ja8tnLXznNIFiD2{*
z;6ot%J(XzM<kzBM6xdWS$(Ay2T6Ya=vX&3s!cQmucL+P7AeB?&R^trVef;fgnEa%R
z*OOA$qX4@VZ;c<DK35!{o{|!SFF!8mNeeGA?#++bU`qR=yP9G=P-QhClf(W{CgmiI
zN!Rk$=-<J(%n_(oatBMf+R9Li3G2zM%KG?y@-(@4hhGwM?KeV5N(KbT(x;TUp{{0F
z%M=u3hkJI-a(pbOvh^*jkGUaiwb&FYt2#l@3_#I1D+^SotxpT3bq}8y2Cgfjqi6pa
zI*%X;;CyJldc%0Nxk2;9uJP;XeS1jk8YSrIXm-#&FF5JC{BDYMzSYM21(RPIH)=*(
z+!%Y0soHm<y$hDpfo4e061!uqXtcrj@p<&0g9f@zh|O1bxz$>MZ`YKy-&q2ahgYYn
zIPGfdo6JvgPRb5K6K}2kkS;<2Db_Ot<sGN0))B3h`Q}C1lHmGJfm^iP*){9mfFfAq
zpd(IDtTH#YC4wpqrv7Z|8(kbmcHzTj1m(I=8CJG)gbv^H_=D-#4kAyxkvHT9ye;@j
zgP@=-+mPAQ_1RBOb-rg$CEQXxw=WJoW?e%(;j|9NMycFiC?Y?xy}JD;imU%Ok`6Pm
z-15PGB~1+f#8b#;DmzKt?$vYm-ysj=6zQj%oud0kzt1{5A9KHxd}bl<@y<zM==;Kw
zOjOC<s_$A4B76tEcSYSfKP=Q}!d`RXelN-GM{TF{-7lt;xg0VXJ+-dD*&VLWZ_23f
z$G!Fjy2@Pfu6Xa4@WR+t)y0=rm)zk;4s{N|-^e(Mz@G~p(UkYDwc*ZrW%2sn;8z#@
zPm1)T(a7u|IYe}W9Rj{AGz99bSzfUGRtan*rJ4(OZTHZ|fI1dv+G^zOXM}Ay!tzpQ
z0}$zd{1P|%R~rQd$lha@I>3~KXEHk|=PPrDN%I$*#==SbWuCXncfRTq_%Zn%$`lbg
zF%L$C59_LFY3i1r3IAf_3=a@0&JI$H=prV7Q^Hm;iY@Gz-8lO^lX=VAlZm_Tk?q0r
zLFMg-WTee5Z11k;LXLGGCUj(~0&F)j*vAhcXIpbZ0z12i%%An2B)^zXPM-E8*rMoU
z0>C=8nnm}KZ{D}O?Homwj_LL@bDKM83+w%<3BOjbtVL!%ak#~~BT7@Gr8Kqk>OI3P
zTQ<G>J4P-ru{=wNkzdoaZhwJkjygsA@cLBwd*wRjB312*{8qt@iJB#!hXG#|#PH57
z=s_ts$)@Es{8$0R>@|-CrByA+<-xCg7slNdrFNdi1*?vR=dJ$v3!5zB3om|Ytj_kG
z{M3$p{c^gRdF<*y+G=R!zDVw&9XO^*8iEGWI{As9Ru^$s!kUeFLzLRv2|}MR$l!=b
z<r|MyGC3XJZ;H1^vfsXM`U%*#9IvtrvJ@KqQJM;Es4DOmP%tgvpOT(Z&cx6Y(-?cB
z2VyJ)xd0zMOlc^@L8OU4Z=hD6?oaLKVVi^`4R*5oh-XCZHBW@8=vATdyIZokuE(|B
zOKIoV(G)DRo3HU{9Sz#CRbQlroO+ZVc08nM7xhlMrvAuydVr#WCFJ(mJ#C=@US1dR
zgn|6*dK$%)ZqQX{#aqi<9_o0n>_>SETS?nryLsOvz=3zz-pg&*ZCUIEH{G^h22-wI
zfXXat8oVmZvvz;oC_m=s$Ck|g$I}3Rm+ULG(ZHlcC;|&M8>*|`ZXnINHjni+Wyr@p
zt(x32tu2&%DR=HY!NiA!Cg3xE5kdEunOgA*yPAZfCS19J&^7KX<9A8qsoq}#3bl__
zl`Gl)F7ISK0<S?NDC#eRBRKdn=%+IuOdfH04?dSI?@E&3s}z(WBb8^gdT2b*iqYj{
z_X3A;vsH!cTPQmcw7>VHytRSx&ELFMkLE1_fO{6n@MD<H4vv)Ql0fl6L`w=uqqBnH
z_=<_WA-kZdOk(1a^yVTH{(NO{B(#McyB4{Zg*h)p*wBrnxTVi6s0bF4*!?~PAj!bn
zaYgvlNfUe}8Wh{4nKeL}`Tgl==Z(ShY1<d***dE@Ghn3WC16%|WiJAD`#aQ03#>gh
z?^vVE*N{r1v$aoXc_CpNL{<$5P+A5@2QuN)AR@itUO%KCzuWo5Y<8a)yu%yRiDjNb
z_GbV_o9u1Q^kyyaNqg<`(%Y%#BExYjF-7&i>z)xRl+R2?ZSqA@PltoV2`Xq2vW{1b
zrI1vY*gGRB=UF~CII&2VeM!8b2tSHQdz`IrSB)^Qr+)gK>ApCj8*a+EUf7j-pgsE+
z?uot<cb<T$?ObA@H7AVhEIgZud4uK@=iD6$Ocx5pOJml$<w0E{G6%YNvgIX8v))GU
z@;u0Q6jToEMJx36aO(j`XLGjXd&KwoP1XsK>hvl*Q`<KyOzs-pzMB{0mjGH$!>Wl(
zz>0Vot1NV1lajt%si~up1jjF3g01!;@M7IFBDB83(cvw2SY&4j=@L!=vr{(V+;3m`
zet?%`kX`NhZau+)Y(pDJ@WOziVS0-<#tE7bpW+}BvoNnkO1;<tW+Is6o8*>0|JDM6
zDNd$oBbziS(l=i=(RT{(aKl^w<Tw-DEH$waoei!LO}dzeTJi%l_id&a==sFMoWoiA
z`Znoo*8^{3DH90B=)1}sQ2q`MyDzRV+-Y(%DyCm?>x=PTMMold06c5^4G3$-k1eNz
zJ2_k<*Ragl>t?b26eXv-(DeDBZ||?oCs7VXPfa!jteo?9`Pqef6?Ai#7u<ztK48yK
z<<bTODGgJ=5-}o*LjGrb_*2l0g&FOYz9Tvnmphf5JUU!u*6hn`yTMD$l-shRSsta3
zaoB^4QPB1A0rBsmrOdD8?b?4=P}m&M$DJRf0!}F(<5PT5@W>Xyr0KOmOl>%?%t7G~
zutVKkef^<seENZ<buK;)RokUa;RI%^%4F)z*%(u-G=aXIDe9JPdZWH~gD{uoc%Pia
z7;I0Y8E3wn(k1mC-Zi^sJjL?zsz~F{w=J2S(ajizE+dxAifbqNCShT5Q_XGfckc33
zhEOTd0sO%oBV6rRv6YJ`l(`pGYFNWS-!<=AEO116iZMt#4~pCl&3OU!$3ZaxCF|nP
zrhBwX+B?O052d#~H2yr^tE!pecREt;2rkiP8k2TqgPBZL7p04J-^05MckFDV%EK3I
zKh>buKDeRz%a~hNT$v&J>lwEv6jkLWs=4@_Eo@&Z8$_yf1^Xw)KPYuauB?SzNN^(P
z*O444;nmh}G4laQZcHHtaz7)lQcik|S4y3mTTWDsL~=7sRm1U5zD*P>{_^6<dU1u^
z*EL?!QrK2b`mVy_>Eg!vspkpkyJ1#DSC4_Cs%mEv=B@5WrS<QVNlp-}s-xy@f1h`|
zT5A!)cbrwc^sr>ODXkDITn(<o4}C!o@0S?`Z%si4j=(XO0Ir=D;W+A%<=3o%S7kNn
zvG=he4foz1eb`=GMUOW-xu((ws;~X}C1{dbX2FL<|H+^CU(FIyv3BFRA+Pomm_^#O
zhx5gH7olClr)R&HySwaJqFzgUqIu62+=h5C*)MN6#!K1%CZVIn4sT!V<fq-H4Wtu1
zKit@@9(yyv6Ml>PEmb>C`VXq8f$g)B^B}*=X&1(g*+LK-aNjn6n18a$ICu#WRm_il
z2SIb`?i@Zyn%xt4?QS5>z||^oFiK(w^Fo*C`76XM2$>*vkEld=zwA^+@<xx3Zqve$
zAA|3Bj6Dzdk!;JRTCcLPv08=f)9Y2cTd%sYv38+8I<;!WLa-`y4CKWaM;vM*Dwdp(
zXWw6DCCucoe?XL~y0zTK2ctw7^+!c=rjYhg&RHjac+W}tIKKkqxo4D|rX!Q^`RLVh
z`FZJWOQvz&vUtb)A|5;^u`?TAC6E@h25t-=Uu8D7j$DvTsMB){^$6KiV6}S_Nb%<8
zA3Bd0?^M+yN#VV9*Dg$X<F*S8B`?O94~~#Kw(#YVU^CfBuQ-c4Q`I1P%~zGuMSXM?
zBUOoi3T}vsXS5tOp9wq4%hY3XdW{2lYAQ1=Gha-xnn3dOd3F-tSx5aQx&BaS0H$F7
zJz<8mW6-_=)vxGa#Ll^TqCD-#INSI<XCr})U{HtI%~>8{GF#$oz2dZ6V=Oqvw7;l*
z<Q~*^?}R8FK$i1H(VIRu3|GM+uAP_I#Divzb?z1NmG{4yUVck<5)=EX*`q^DID=)J
z1Af#qEpZ93$dMvJ{0}L~za%C9wO31(vuBrpzN{?xFTdVPfLip?={|7Q{z8?G=Av^N
zd@7|wS^DT7+}dmK=7;k!?Y|#&)&rxgs1JcL92Q{_k+)JI{+z$Os2)pv<T3dw&)^>$
z-0gL!LrPKwkf%lm-iGmDklity{sDnQzmuj2gOEmFTK%@gAL#dxN+Li$Ude20r6$~M
zXlfe2)lfgVcaMM4ODNRM<0co0$J}f)^*>ZkWZ*6iE<{w7=7Qjf>GmFvgROycZULK|
zQqk8bWd^9f35F{_bl3VzmARGJV4Ur(o}K~1lG*n9w`;~-nRHUx%nSIyHJxbVl!sqm
z%rJd$K~fvoBST*pA<l%Mj3!uBT+QevOOjR1*_@DOPxSQqv4oo38zf@v0XLX(J0F8X
zKD1!qQeG8da%!EUe6AUC)A!h=Q_OQj0fIobFhSv6%J)VI+KLSA#p}x@)!kJYmO4l3
zWP4)O-oyv}9!k@G8qtY}Q5L8PA9jREqgXG-;$Q3OUB!?`FMjEPGpbdd2|+2%v0Oa}
z>AY<#$Isdx`Ev^uX4?G68MoS{w+?kEzYt9EW-vF`6;4gI*+njpUi7w<<cTK7&5hvW
zh-yExSOM-(CL+a|iH}%z4TGr`4i+e~%CIIK2q&{%0ZE;facMyu!L$T$7T$YLwX#y&
z%%Z?_&P_ri<4?l}3q$7U94*<~%-((;Ke5$!dp>Sy^vF~+ZqzP}=47o;FLIANS8Yk#
zR@XjA48MOf!0Cv|sDQ6HLD}Pz#{K?<@(&MduQzEA$bXVMl<sweQ#C2%Lfv~G*M!@a
zRW`Dg3q94mO14X$fmSN2%C1Zo^x|6MY;L&(;BBtzzgzfS>T#@mWxO=a#F6)Xx&cLf
z=MexPzR^}p_h>mKLK<|R3xTf5kdB9#lty=pPEpf{c?8`ry@(!$I!WTcePPIYYQ?16
zt&R!pEQ0uumyNjBiu2vh|JcYQ(D4r3nc&pCjEG284>H!d7&QHva&VrFGXL@{elJKq
z^CgAnp<zdyykEy%R_eDA9mT%<vBXp*DSo8O*l%d6`6zA(LwYJAzw<5pm<-gS(&^T1
z8i9jgL~1+AG5aFQ4owo3oRKRUkx6%D_h=I)ulpGn=$dnIgV2|N@Z-Rn4H&DS?UmNd
zP9sK<BU~1=M{A3IK<zcyH^wGG#d3}bLhHyuD;V_6k3{?b01f|toezu=$oGL0;C%rH
zD;#(EC15N&NXh-5#Nw?>fI;SNbim&t75_@iFn7Ql@RimW*LGHpqir!?anIVyikQ9m
z;orh;i27F)K3)etI~lFkHF)Qe1yWCEv2GcCD+Y-l;i@EQzZkALkp9^%!JbY$bY=Jq
z16T8$J%W1ae33!lR$SV9)y%na3Fxt)>1hFs5p>-Y{e;beW?#0raq{JaCuHPaS6{Jc
zN~yt`R8RDU%-9^zemU_*-yeeIovA<;S%`q}5<sGneXoABRPkBzc0VY&)Nr6hNlj&~
z84#dCyfd@Ig>bchI;(#5l*rgmXOY}&Ra*Jj_@nG&`p3U~b%8nenA289s2#cK%g?yu
z^36ADX8NNS??r2uQo!oZo<hk~v7jzfQAEo%d`!=TuR!apym!uT)!2a1`ke<LvtC8_
zB!<WC;D)wo*?2{B`(>-En|?<J&Nb!l2GoxeY`K3g2TC7Y0=Dy()A>6Vd8chBE||A6
zNPJ(aLeljv0XtXa$O+%<L%=1TRyDBFKo&=%w4dI{mYWkhyKFZC_l6cix1UA>mNHTC
z%{heoqt!xNav&=tzsZhs#6V)iAK3ub54uj4Vt=LilIHZWH~hSFa+->6p!%OSDa4Z;
zlh!KVcD!JjmP%*s^gB#4PeU4%B?}j5FuPM(A3vvf+ro=kiw|UQlyItP5ptzpujw{}
za9NO*CnzyDLk1CoiC=TmDt0EOyp#_Fv)&a%<UQ3*s7mwGk{(9b_Dg%QPS_&!=d-4T
z*HYOie!fCE5GLQ1EgB=4c{XJbemIC5r$zRj!y~$tfG39t!J5ewL;T>%U|WVx-Pq!T
zh**0{W)HP5eE3U1NnzP-&%SoD+93<-=8LmHRz=4@Pp{T2emuE=%@b93A$~HI1)bR&
zvMI;33^Wd@_BNvw?9%-N7OZ6n8WDa9j+FkKL{st<T$QU^x=>y|K&s@On7Z2PMEBGd
zZ!HsQx1DmqS0ADFE`O2R<DDJoLDvQICWmOswWwUv4O|~@ZFQJ+oce>pdqQO=oj;rO
zv1Hxyy$LQ&{LA?5th(|j+lIy#b}}DT-No-1`z|2;40Nc8AI<4+9l!^6sA;YwR~0-a
z_vR@l7%#g53D2?9IWnP$CA>%X=}VJRmp4&ryzK0h;oL{*SzDHp7|MiVm?SD)ZK<oq
zFRUqi`fPv{r3geRX~71I%+g(a`}gZjr6%GK5b1^hvC{l^n+9Q)zOpV53)3ECb?O3G
zd97|{6DJ>*Ge2k1snoziC+tEUBLDl0DEA1fDR4@W@#yt%xdeEde3qznp+d0XMFiC`
zu2yz03u|R(_zq8I8(e3mLSfvP6Uv*ppTW4XqKQt_g1weBR&@|-wd$kW)lhmB5iLt-
z{dt%w)Jrf&1DQdr(C?j3C%=_fjUBGLzL#$38y7#2$W0vGW*Xw`RTijh9m_PDEdE_P
zwar&YUnQ70+fb@9f1h_td+Ttr-q#Y>lDxQZmaz49^-twRdgHNDd}6Sm_g5J?=@kx8
zH=W;B&#ciWmKte)EmgZmZyTWTR10b<ao7X&Vhw=;3+&<+#=>UF_f^PKC1r83Sxo0S
z;I{%hn{N8r;(5A1a(5RRTyxgX6r$N?JskOtyid;0t7Vkg2<r9NYdI(p$`|`tNKb{3
z%6FWGD8<|$KYB|aOeijPir|HHH5`}LloNr8{E%wJ#9934w4i!EBjLYB5m9Z6?^JD=
zZgq<D=sa~MG-x1UxA=TmYnEBVY6Xje{8!?I#t>lp1z{+>t-(9ZUnWKNT`5n-_$HIy
zE-T4Y<xG#tDe{L;R3Q}IZOM-<MPxyr&6ug?3dW?RbuTsd_30=Wt6(yFSu<otchmGj
z<fMf-Q>yCrpX;V;8{(u_EtxS}_)3&m*SUm<*`CIy-B-$9AJh1H#!ijZG1Rz#J6m0W
z!1P;*Rp#kMzSI;4p&rS-SdV_h*G}UiLF~u5s;?=ZCcKR{vX=@_Iz_ruF(14?B<+u_
zmrOkNXJ*p1QuDX|-wkB{)!zRE(Bk)S_2)%Rbjv#~bM2NqsaubygsX)Vj*?dy|Gaou
zN+WS^*zE!6W#>O&?y@p9?DbgSeW(PO0Ux-yFLL|0Lsshk&5XB}vOoGy0;{K>nO(E+
z&??R$d&AFj8@R+Tc8R)Q3*(yv_%4`8id3OYnYG&OpG$LU;7reI8A$bbzt4xilz*?-
za41FtbH&)lHc3gJ%bL*Tr6p8EmGVF}QYymUUIm8%d_4ap$T5~iw?<xY;URgYStyaG
zO7aU!g9&ei_hqwxke8oQYm>q>Fl${U(tAw`1?oRkIGx{92w*eSi~tE;I+R+f_Rxqf
z7H+07F(Pra;_P`Q7d!E@?R}(thR^^({LGRdf{m}V&D)SCAZ1hHd4u7VyUZ^#GQ}T&
z%>X#F|C!9M7YlzU1?PskUjkH+#XOT$Y3s3)bI&A7^9e^K(E?;^nRuJ^)=K0fFr%Ui
zjOWV8Hsg=G34@n_jKIJpu!~&pmvLe)c$q)kwF*SNUUT(MOdj54RUu6Qax=?4ow?$g
z%C29g*<tEGvY@4u=={z-ylE?~R~*AVx)p=^Dt^3uRA>)enhaZd8VxuQ13DUk*#lWN
zG*C2mOZHwFYN!t}O&`+}@;-%A-DmGR`XLfXVy=jZv+7p9iQKk+IcN>{`K-YuO97}+
z>PHx4m!(sCz{brozJsKCtR2q;r8yG*1TM4~$+fZ(M9Z-j!<oJmN2?J(evy`0Iu0{W
zX&c@Qp~CUxU|c)=fmiS$TV~N0r<VYohIgupwMmo`FV}pY1Iy5}jnQ|{IAHU*NlnQf
zL68wHA!)ky(;j3GvgKUr-f|c3Z;x7H#6wJ*>g$X~UAR|i421q@+<N$}MGZQvM)lj+
zP?foSmD>lM5Rz&YE1gwhwrNJhwk28Imw+dk1HMe&)_tyB`c2FjD=kb$@oDvHegXc2
zv7n9lf*D*KtxpgHP`3sl9%k3I<VWB#kcn3COn+y%WXk5G?|Hsx>vT*02aAj0)7Q0r
z?`x1pCEzEMe2y-jF_55|-J#=1^xOV50O~vPg3|)(vl9PlC6m^2)2-jpi#^)k_n}6m
zuido=AknLo7=(Uy&L*2@UO%TyiPsEnTYE|%_rws9)z^<f4F_nOw<c|(N2ZEx%D<A<
z8ERbuB(TUeB@e?Ru`qeNf-7HWk6G_1&=^-epyHfLA<vLM7plpwfjWtp_MSFh0wj$e
zri~#sj|n5<q08}u=koim%v-Fi9PUltVaXIGpTfnfZ2+0>SC30XKr44rR)!uupWNQv
z&1$X$uFcammQL04Sl(aD5V!clOy52l(~z+C=i*6Ncn+%<XzNrx26k)IMNtzg+r30D
zW}U>gi`!^;<6fXAf>vw+YW0FX`D-y5J5IvTD|_L3_<YoH!rljisU`)_TB`Cz6Xg+c
z@7UOTf}I$I4L$&a*24Sbk5GI}VfB%fV0UqK<y(^4^(VsOYeGfYP20*>lDQ7@d@UMJ
ziQ2Tb`fl~B&tq1r7v@@vh+^7i#;U)oR{hT?hk*NEOS5tFc{_JAL?&6SSCx$K;$c(L
zATA%1oM%t5knsr>Q=}O=ZDJqsu<msto2}{dMHTYv0b64*f1;od90}hBfiGg5)>`eC
zPHwi+wQieDzz>t<0Ug93<_l)&96&H9;whShi#rK;$4t6Qz$mc06@Rnt5`cmr1-=1!
z|7N*cA8_fIt|!B%V$owvuPYr`0VJ0I7_u8)vk#@g4U}Qdd*6w8ZI!^)Tc4EXB|Of&
zP>Ok_WA1AG!Rj@^_hKBoSpSV6IbO|PmAUidPvaz_WMq%0GSZ#(d`%!zO`5X9>iQf^
zhylvlEpA4nDd{C=HdP+KU21DK_c?CcqyxARsIaUdB8s3qsCEaEha_)~kEa90OTJ7J
z@>B*Wy~(J;)unZ#yturUf=h)GBfWnKh$e`X5ZtF+6d^0wFj>gAoWYz0b(Wdx`^K4R
z7hhz=M_#NpZ>=Q6vi7!+j~%r&TJ8eI1-8-QpwChysHN+kBGO<;Yk0Y6rc-%M3e=Qb
zD71Z3+;pjCDMGpzQ~S=iQ$9U8%td<8jnA%2qvhd}&|5X}jm1V+PQ1EF>v=wbtaNVU
zKr`3W5vlvaQh<}kj?w{amVzt9ELJ1%q#XgkXDKF)6VeL)s};4qUwC+5hmGhz;6{9#
z+mtc8ohzR=?{oUmjYR3E?g>Qb_+`Bu<%IOIr69f>Tl*Z#o#mX1*Ke2Qc%%0z#Ju&o
zlwO6maN{*#wLh_UKG<uawm&p&Jia&oRGA&$@g8J>hXt)e2CMgGI9C#)ykeU5bw)EF
zbM>?p{kRm)&qs1sg5=?$i+8Z_XhpE}NNm**ujZtYUIBLk%q3eWJ}>gdnX!#;(J#m0
zA|HQOr=Jq!<AsbTscm>4Ol#*7_2Cz(k!z;apS~vf#&JFwIS9~l%VfU<*uqI*{=`)s
z$TGV$;$hDo&FdJz2e^Cx_ubW?`*cnUaQ2H?j@zGh2Nx97F<r>%vKDS$sSj!ycJd6Y
zH$k{KS<OVnyJrxs+>NrllKASC+Qx?P+p{IY?%#~s&~i3IV(}L@HkYWH;48ozP)XGW
z?3FKhj(QHpv(F@4>LK2*UnkN8po%~Do*BYdh?Im1iug{PBD+Q44>DC~^5J$Hezs#E
zhr4x>lEEEG1^@vv2(B*1q7lzoIs^51RyTE|IU-74UBhmthxS>CMUrL1bg;k<%}knE
z=+?^Wmu$TEQC4})l<;j++uDyo*PqG6zQ(@S@&iT@)Um8YO?dv4qF7G<N&=&~g^QM~
zzF-eZ%Eg#BxXx30bx|s%XQ`?Hvlq5Yp!)$e)~sp`IW}yaoH1Zzq@<xD-yI|&YCw;k
z$|aKB9Y}odICX=b>edtFZgv<bOyeKo_P+$~|1#*(js~{U1kbvx1vVb_gjjeOv`p?)
z{c?8Ycd%Iyjt)u&WXSp%SNt29#|UesR=nrg9aT+_3Xt7Kxx*^?XBl0#y@v%zcM;f1
zbZf9@!O<QQOky;5^v%Rjqr6(__zOOpJ&B_1(BL`gQRp!)Q`4EXZEv|qlgmaQ>&{oB
zyD9r>Q2=dASKmh--yG(#coUPd1H_6wXuvF1daQ7fX-x9$i@FNKX6#J*Iw>e)QFTjE
znU%;;m=e}%IWWX?%!49Vt*fz|Vw_K>z8y#0h83DM6yTOKGgzQbF1yE2g`K+(ox=7R
z-DFVOJhxvm@3hU*qV_FsXQH6|FjyGYJGf^>u_=!TyOQPAXommAIrJv7IMdGE54Ipc
zcF52)h^Fl6Q|5TF!6BOYT^l9Fvh{2*e}ko%`KzexlWnNMi`Wla#(@-Cj^IwMyW6GG
zMQN`%-(=i;m=duHhH>mWe(XMjb<BR@e$jHB_t}BG3oEF3ZZG7^H#+l#1Z8Es&kx4~
z*i(!}@|TsZv#=TqZM9}u(y3o7us^nXB#N)?nwK|mLJWP!Z`ES6+I>k0`B|%#iXO5N
z&IDNxv1qOA^&f_Lkg?D0eRG+;%m>DiFs|>g=jR9!&%yrH%uYAF%?^z{ZE>RJ*%b8?
zt}sA=g~+_ytWuxy>!)D{prQ9ypuJ|;B|zYW87M*dHiVm@wzl51gv;p8nPPAPdF_|P
zcRfN#sb;}BwTYKyRobGn<n%rD!+_&bj|X^NBA(c4os;+eT63CsjeA-4=UM#oJu|=<
zk)~bh;HE}O_hp$!Np0PANoH}*8o2w0aZV2L<${AqmsPQLEs;93h>c&c<1G&3^rpma
zJt}!}TfD4~P25Hf@l9Fg63`FA=AVa%!Vk@j2f!5{m#WBHD>H+>VUB9w@s7@E1Urk0
zF6ztomN^SkvUdXl#4(cSXCO9$q_3}N`kkmE#}qM}0>^_o8&`=N_lWX>Wn|Xurnk@V
zptBD}r`V!NF0DH93K7B~RsvjcZ}BP=5p%9yne@<JO9lvQgOvGek6S0nH??oPy<dFT
zl-AxNg88%;tb7AM(dnaxQ}93WQZ)=&<?Uqs86mP14LECwe)Gmm`qjNB<k5d$iT`)h
zO#hKGFY(70kKxxZ0l$>t=PXkrfg`Q^DuJBvU)A3)0UN?zG1xP7L`VzsdPy#{(mdv2
z9a6Y7rz{owRE4+LUeK2JRV{Cb%4+@6i~>3(1O~_KbyzZDcI&TI7CU6HPk^gfhMpyw
zm)EHN8Yd}}6KpGWr&83RZ2sroRpJszFKrG75d1LkXfF*tq*}{_OBK85s&jceZ^N^&
zsExYLD*rO(pZKDVP+a{Nv|Wl8Mkbv|!Qzo`kVu-b(ae+A!1E)^1@sch`VvEvnE%ST
z-<X)xR^IITg253j@D=bTG6J8xhO*i|%5s!36IqNxm0UCLlbU-x^)vaPeN|>^P_3j6
zs6Pa7-T-qjt|W&QLH&Cc)zXUBYn*TA2EB>Ui&MMaz1g+Qy!F8%Vf$odE|Z3E3v(1V
z%eJfdL6X<YV%v)Hpwtc+Jc~#mXyoBTQ5NUPMR!tB5D{MO$QTo=N|u-GeaFl@PqUZ=
zg8<7U4`}`svi`qaEv>N!%dG^_C7?rtJuVYxh4V&03Vkyy&o7=8o{1;M?({$=*1wS(
z&VKWwHO_>tt*8_3SY2-dq2N2fO883+zD)c5W8b-OqTudOP=G{!5^fi9;md!%FK8w}
z!u*g{fLaNFkj8goo(`f4#=WS#XyPcl8WiJ1(~HgE#qVll?}EDW$#`d*MWX>Hrw2GU
ztX2H(wlzKieWIw6W%~0&oag{@yI<k%z)3#;+Yz}^ROj-xpHELHy3RGEODZ@|G=q2L
z!Q1v)`#H95Kdpb;uuKw#cD)AguwFigJUVC@I?r(wL8R9z$QHanw@8|R$(1=S0Ua55
z?G^ZyfZ8+7GnO79aP^y+)omSF8-Dg~A0l7EjD@V&rDGu-L%CL3BDqmKBhEe~UGJYZ
z6(Po(4m8d)6}1cTY3h@TZs-C<4VxUfq=5lW*ISzLad-RYA&Uavh#y{Hs`__p+rQSh
z|Dr3mKRO}y)HqmC!!gHlZsc}%pOr|?S<~sMv1dbAqkyuzyX16>+4*<y?-D5doT$J_
z_kRrEM6L_XBwxE0cfW+wEW@cw!{DoB-(JfCQAe!w;UH&c`Vw$31D0Q2FIN81n0juF
zQy8fw;_#8zg!MD8Rsv3YxK3W+G<z3h5)gmzuhPo@tX_I8npi7h8f4S-&%z1+th^PP
zolq#cauo4v?_Y)gU0XSuF?9jfIK@i<ZU%qV{_H7?YFhC=NmTWm8?ISY?}3o~A^SFG
z7C{JzBRx;Qb)MQn@oVEWyO%Y(+DLY`fR9DpwUIl3`2l*e+V2ljfUXa)Sh?31w*^1h
z&P)fn)DrUs{U=CDRgi&2=N7Ph8gg-`YE%l+tY*Z}>&%{*2;>7k?ZP`^!P@vt8y}zi
zN5Z=1b#bvx4A0>mb$gMZ{o7lhqur_CGcF>xnO6cwj$Z<J%?7VhS?3uSIt<H2J*~1H
z%TzIbA2{B+FA6ok=urTka|j`~`oNA>C#(bkC74G3UkWHomGz89&}sE4wU-RIu2tpv
z-)BFYYH<<xHBg(_6*EXlmIX8#(ukMB3p?L7S@`{_LrkPsPiV5}j}=}ZZfYu}BZ2mX
zso8nWz8I4ug05z#1rqbFW35J;{Tp2oQG$f%Zegnk(C!9P5QR$XZ{v{iAtTIfVG892
zYoyJVBPb7ud}|m|b#%`wfbvDPtc^u&@5~O;K@hYMjA}CPz7W8#U^P2@E?8n#K4pd@
z^@HX#3M`#o8HBM}r#a|;h|Y2RwgkI{AH;~Yv2awc;k1%tq^m~xewM$Ga`+~B=dJIs
z<O7h2?h8cM`Qr^simBc3nnf=04)ZfD9){20S!xx^eMIaxd^fKa8!^cHHfbe%W#XI4
zh!S{mlydQ?53)pGA_c$U5XclVt9fp$r@`+T6~r=nhvd`2oQGiWlJZpfiqHq&m2^=L
zn3v@32H81ka>>^L1b}!(HOh)~7rr8L{w+`fa!lSd8!+@e!iCsMQ5>(tdnF0mbEO|-
z_4qmLStp3}&>S-4zO3Qp<Hl88^6t6fO!_a9;C0Eb$gE!$F=w3qpY&p+AUE|VU)!}<
zoFiI*P`kknv!!_MpNr7=)zty!#s&}m88l=5;C02DO4wK=0zZL<hg?wMB_B`197{U0
zP3Ki_=xW^KlYB#YgBq|A$OBUyy<mmDTC+s%hLwDj(*exy-<LB`-TbKypx)Pdgd^f|
z@Js0hpOu8js!U4ENO2!?tnP=4iYMyBh4M*$)XObmFm=pQk1Gd^ezHpIsgijItKVE}
z#uxg23Ens4+)c=7j+QjrA_t_m{5uVqOg9=;MfZT|*itso8@nJ@wdpqml{{jOD4@f_
z)I#lcxWlmFWNe5K8FAb44h)16p?Tg~n<!H4sMX{%7m=Jq+}0|KtcHSm(r-A<=C>zM
z;ei$nn2TWlg60o3pFDrbT<E*#xO?<I^y7x);twz=AmznS!$Mqq&JT;hJmTD7=_IS|
zCjX?Q4kX^M7~nv*F7Yr#qmB8`BV01(5lmH?o}(Kvi*pmpxc7QkvANm9VkFor9}5aO
z6w%W@N=d#qykzu1`=HbSMul0%zk@;2KA_0%Tmq_2zHav@B94h;IV!rFJUt8vkrj5U
z`pnhFj`*T@`^*~Oh@yxa&RfY0Nxdk~RrQh1UhIYg7^I%-Mp9-JLN+X1FCGwQjiWvO
zix9|4!VDwIs%!5WLAap|gX|PXDT#QMs1Hs)&o0}$v-*sX_xzp%*=A-a_(s)IEd3Ts
z!S}^=j*B>n_5z2~q&KMxpKZ14c(a%{ys*jjL|rr)R0x&d<I1G&{2kxgWj8%bBP3xL
zKOlXZm;Y?&3tNT)^$I_69$G$UeTJ0{C)lF{?0ZyJl6I%hMQ>L%(W)KN-}@CxzWjrW
z7#{FM=VUq26*<(%BG{vLZ)vczy)3xNAb9k*DbxQ5y8EjRk=T3&?>EC-0?vr(DS2Gv
zC146MY8-Ph0opfe0$*&yhnus(N03A2!@cvxlq@2}Ik=gT^CLUDZS)`Mr<_!j&}%WN
zC<Y+P8xUCaMk>ww@kaxr<F^(C4tL^hxzH~=4+|XTIo!PeO8(#cr!18$6CX@WA6XI`
zwcIfQl`j#Z&5-8-V*ApqSh9=9%{CX!vt?kL))S^`#ObNkZ^+Z7UHzlSM2R6ZAxAj`
z0XokE|0Y`zJ7XtmF^O~ZFCn5##Zmi&1pnxw#~J*WWaXrCR>@Zxb$)kp@+{^s|KAB_
z+%uH$Su2_0x*OUkB|Q;oFNM5{>I2|uzqZOn0Hi?uTGq!uPx^S9|M{_&|A*ZaO>kTa
zUa1gfhv^CazF{nbtJpYQ$jIY;VNZ8MQmBk=_aU-O_W_+sH4_njeZV7EMDtPF@fTFs
zV%B?iGPCC9A1R7uivRrFvot`IxdY<;p{3al-{Wq_)d_5}fqqD5UIM5}qrs~{Ya-cN
zaKT)l3XqW-XPe?Re5@N(cn@%D9D)}dB8EW|f%hiXti+yS)2lerKQ_nxyxA)e;Qcw0
z09g_Y&&qN<EtyIm`jczSIMZian}`%)qz^H`Ess(HvBxXj|Bbcxj%(s;_eG-!s0b)Z
zZwe?v1f)xiiZqcb5Nc2XDUseG5JV}`A|RkBy_XPy(0dn<-b3#l5^8Ai&hI^Yzwhtv
zyU+dXv-kOnnPi4pSu<<avz~8x{(xG|f}t!FiLw$$IwnsZdhL~8;VN3&1m}HkJkh|U
z8;orjnMM}I5%NCPl&OAs$n@(PwLL&=c@3<Z<v$T_Hr}xI_Ewy${?0tIr(QjnszU0J
z{*lk`Pg%s?SV#-SOSUJ|d-|DCnGs_i4`Me$B1+pzEvZ<`L&7D7A^b(m%XMJ@kLM|J
zeAfD?{>p40Z=?XYaa8?5(`*b+r#bkuPqc=u11`(v00mN>J(v14j8Juq6Xp+(eX4XM
z-vGr9vqsQrRu2o5GNZZTPR5@%%Lp1h^qxITxzr~Xf~BU_90a=WrPam9$%<N(yZQUt
zkLeGn+^Yw-U+Ivk-Mq~^6aWSktC}AZk{ca@BIc&_m#Om8bEaWlamN#7h6##nM;8LU
zhi_fzK<E*@tO%M73E4py3v2G0C&jL({nDR1n^zx;FE}Ia6Wix~Wz_Ixwet}YgU$Ln
zN^gh6S}kg;BSj=qH!B-D==URTU7*e^9>+Cbr0Zh2L>{Ty&@L|iPmiF#J)i$~Kcnn4
z!?vHrVrc(>syX*C)~Iu%b8^r6E#W_)yKq31z1@DcfdjIz`t?uDH2#35*1S15&+2m5
z0jHt@>VIg7YFy?^rxNQU_Z#P<TxIXseW#|`xvv>TDsgz!<^*epdCk|eN(LcxN9wps
zl<?>lP^-H@cs^UoZn60z%5wUZg)gRH)p1k%!a6_YA;--;1*WCvY&&sAyf#}7PUEK=
zZrLupP2L*OvfA0}@)W}Y83QIFGlpS7QYMa_!Jl3B(d5L^99x#cT!7;W^Hoxpe#wS8
z^bdKwO*7bAzG0FY+?=q|LVb0o;b)W^+bO2dj?3ahNBf;(5bv1YAJ8SlW583S(6ewx
z_sh8CgyD!%L}<t6WwvD7-Q1By+pD%$%Ja&>gPDhW@?G@r^@j3$!t-^*xvhKF(~fXQ
z$41VBR_UeKzJ1JPV&P~T%hMTS?j~m)70XjX#d=oRMlXqWOq1h#?z%|RAz_`-!ReYa
zb;0$dE9@n(_poIa=iKKaNt<UI;>`n13%32K`0Q+BFEez~d&OH&)uq4kXKa5!EwsmU
z2dI-H+lKSVKcGdOk@}4_WEA=j=zkZp>i+>bC+FQuK5g-3-lz8jh#mKk^J=p@r_B4n
z>yQ=J2!oueB7bo=CLfB~%$!Kny*os~G%M<#yK$ZO?`QrqT&4YuB;K!YG7Fz!uj8}M
zRw)8x>`75R6v-LgUd}hSJfZ_gwt>|C5_TQ!Pg;G4PbH^`O&hbM50ogeT(RU^<BErB
z6;s14nKb=epEVRfwDzS6hY^23pOO9m2gU9uknFd_nEvx>|EVyo=5)cTZHsbN=;J(r
zGDM)1wac(Dtt6CMkUYUEPU&h2pCwzg%xKDJXEI)!Z^zE>Ch?7(#E8t)Q^?IVw1eG)
zBqO!k73z7$l-9iAv-AGa7Uw0d*_LE;$t_MXL#svRe?ZEkHP*NUxRH9|iGp~sNlS5v
z{mXYDOjg%K9F@H2XBm(;>#eh+$>V41gUmn1(k!$VsK8b@Etji=P||fpmK>2*#NbSX
z2>vuz@+i79?I4+rN2YD2JvkHPqes7+y}3bnb9lONFMoE!Aw-gsPFCiSyrvw$7Z8<c
zh*`{6di^KcX|*f!BbeM(KgznA0of;M#5c#nB{~EUuteR7=sIf!x$8pP88{jJc)EP;
zQGh_3A(2Iq`j!@ATSO$E6f?9>e{dd-y8DrqC#w5SgkeV5ws8Ah-w4p_bw9|!elNqA
zr(Mn3fpJBW6We7bMV12(DJJIIv@Wn$$)&x)_B#hub}~(V4~OI0=FpiHMT6#^<ru9i
zU#xZucE(S&IUW%M3Gi0YrKJx#ECQA0iBZqKhj4rogz)br`@<d(6Vsn8T$bgVHRWxQ
zwmRHuJk?vq+L^g~vC77g+z!U?nJF*^x9I27^U@geimTgB9k|0n=38{X++}LT9j&>n
zL4qOl0(CsTfCGZ~)b)u4ZbPhr<jQG<d$;?+qIYn(tT({Htkxw^ytkPXcstN(BS4Xi
zJnVT&$9hk^vG*Ozp79gHOI4z{1A$|soo>puEbb}E?glz$v*cO2%N^N=&M9Z(Z9ckx
zK<4c?`7~|@ivLcD7foCo-v9Daf3NnlkKeNx^)+8Kk@KatAqO4dqGxt9%iAKBuLFlu
zyjOkfnG1}C!jmozA)dOjYO+`}N{@YMa$POGZ#1hybM^Rjxdq1<Cho^w4SPBxH1k;E
zaDU}|GM$m9LUUD6sUMGo`$Oz*NW9CIcFg;z7#L-y-((&8s4LN7e<wKkhS0k#*0hRX
zrI2)#7J?MJj^uCwf^Co1F~E?>3IIS;5{|PEJ&9q2_2$|3K)Zd-kACdKt~r~-c00TT
zg{Qk&8cf;ak%L<?TB56_q6^F4ay&%_TcU~ZmJ<Y{WI)HeLhP(y?5BpeitZQW_Dn4}
z<OY@q8A*&t=@~tSd@q*Y?{%y@Zhw(l43J_k2DjCTBNPcE@A1h^IP?<M?>d2fq{z;}
z%jUJSV3hXPfV8I{ZlewrjQ~jaExxwB8Oe-$7`dl8GLQXs!Yr_&!%kbKr#bhS<4CN3
zqGh*pgUwn}w6Z~aUEP_3g;+V~zyQZZqOxsA2BycQ(}j|m_f#*DcCM*i_>crHs0b9Y
zv-mV@B&C&mP2@6n#SRRDUpai;C(r6Ra?~;+sRZ9xLShTzR&NzSz`REi;o&ruDKudw
z#HAE#T*l#boNZOh$jZ&KZ#K&r%KcxXdI!aaJk{Eapb^+c-%Jh5Fd0+!=QVccBQN_#
zKTkYa*!d8Dl3<g>{Gs)Pe5%Xj6T0vjRM;xV^7WqIEdYllRx4KGQ7G|xT7{fdY2y3k
z>Y_R=)TLAnW@z>vMv&=Su2FVUT-j98@6#G3wctdWcU)CRItdBU_UgR7^g9Z^f;FYJ
zy&h>b*{vk-Fcyf=Q0R&24u-r33!hCvlJ-0n`|aNQwfxZJ7uaZ}$sM{9;cX|={=95K
zy>Up*u@RAZZq3I~+}=ich1F~+7nSe1_oDyI7~s9WmRUDSsBS8{&7b#yr>OVhw=9H0
z|AC#A5g?h50!U0A&bpVii=wMbI><2ei%_E@oF5->S8eX15dxX#K^MKRxH~x0E})tU
z{CY_A@?7UXUPaF@qIW*MNjUK-c5cnO`<{2~I^=3)S=yxD__8YYyKy4WBiQml^CV6F
zcH^3&h_bRwhgU`uliNKiN3GtlFtnj(m|FRe>&C~bk_s(CXK)bx-g5lBW(c5cluzOq
zMO*@SeOnoCZ{)6)fMr_OU*D#48p$drz`muP@#B};{Y$AfjHx1Czlj4EFu$2xta%~a
zM$2>#U$I^m=b9<^0he~p4-Uf5)VevuAG{m%8{V(hx521w*Yu{XV#J8(c~i}&1X}-;
zpEW+#4hP)Sowu1{C9Ej9M{3FRhtm47)%k0&31Dj+^s-3Hg_zJIbC}4Ng|q7OQ8|O*
z@XY&w@c7uIT+zz{!uf8Sr#KRF4gMSV@vYj0B?VG!WGd2YH)?cc!iaEY7_g&MT2s^~
z9`SV9hK2j}CGAgdEKeuKe<%r)fV^6Xp)zZ5e6vs^K+1nH!XI81zwGe^nmCTI9}sjs
zl^Nd@r(*T8@BXsmT=d>b=rtdW(v<~pRJSYXCc&*d+>W=pIKZ_;^@WqkbC6*JiKmg*
zq4FX&`%|V~P7~C!sa86&-{Y-AxIEa?s-Y?<(LCSQ@rjF%v~h-?>#H{7^hXb_Vrtza
z;vLN<l%4FvJS2ASTg35RE0DRad<hzZcys<;Oeh>T9G9ItC7yA}_ub{vRh6%taZ0>9
z7tRM;y|cb$w`Z)C9XjSca8$bS%=(5WyZ<aywX)l@cRne2HZ14ec6ax7=EL9a4A+kb
zA0D(lCR<m0GRGN);|x2n5zB}?dOoaWf69<e8N)4<H~U$+Z}bLUTd9)33y?F`DeFUz
zHv8ij+nLxdtbzw*6=&tR%|@|k`%P7b)GT4^yMaxM9H|wHK2VfW;k_DPEXz_Y+Wymo
z-?{s)EY1x)0vi!9I`x8097)@@5j;Ze5X>ni8;t#$0+~N4%t}(+^?1pDs?55H&)z&U
zh-v5GBhXDEo}n5JS?mVKaYhZH123Qj(F~g!p7b*a7DDrx0bZigJg<u)T|Bl0_iog&
zkh@wv{hh!2FMH*jywq>nEqc1?BZm{l4w>6^HuP%j8l@U42eoA*GcuTO>(ch=4*3Sg
z)41m)Mw3d#tz1dWD!;_v*2o;HjAqs0X^PS`MKwqqBlg%K_jkz;uK$97h!`h~!Tx_5
z;QSZV__SZ@ZBWNx7$-oYgsi~&|B+fGAaUlT=c9m)$Q0^$6st@^`vuei?kCj)`?8Q@
z-<Lyfx3mpd{(-=XSaVlAjczNxLt@lYln<r&uCW?AJwT=P?0WlUxo6gl$58P(2Xbn<
z75(U)U)7B9N^=yyHz~`x(Qdl>I@!!(xUu!@Fto<aY-Sr7v&HSw>-V()_ues`enng7
ze}{Pg?}Vv$|A1~|$dO}%*~nGg;Z*{V#Z)6b@w@y7RFn@aKKe`dtgzlEf5oU7W>xZE
zuz-mvqV@DCv7~*}49n;*OFl<SpG;*0XJC|+6b-Zd8W&C&@t03bs}X8OUM30HcrPW6
zWD@MvHQM;d)T~{JL(gm59?w@LU-L|}BA_DQ#I)*Hb=sUVi{+%@4ms~Ua+#5{zS!Gl
zM!60X#^N))-`Q~6kZzX_@lMZ4GzC0vvC2ITre9?p9fEd{IEfz!f(x^wk+R5K&(Pty
zBpZq_8}f?o1n}nZr_+{$!sMpui^SY{P8yr4?+Bgfd)4Ktp;VWSJ+3We`gp!8f;Riw
zqOAu}lKk}&XdcpUGnXVcFRNc^6Ems%8V3ir9L%&$E^%;|5ns=t1!-A46PS12er^)l
zzV(b3!O%uYwgjwSIp~Sma}J!EZdP;W&bY(fyE5rd6@=c+?kZOl^1aH>=`7${B0r2q
zRO61ym#y=Z)+DXQwyiN&iJbEomS%!vTM{)PuE-8u8#z%8{>ru6*|hSJdt#(^q(c2a
zeRykV4}TG@=6gTQ(Cqs-P^|r2$JHgG4cDKJz`yuQEAm&e{&?RHp8<G0iG%YVTbJ@E
z&-lXRDIkk)fH`q~13d514B;RKw@*_O135p6?OdNSvRR%!YL<*Ix?l%(He^S|wYc{9
zKnDTsNjESr`!OM&Vu>UK9Ao3H|2=JT4QXL4Agv2Azf(+K6wz{0s9ftqs-4>sZDo0v
z;D<4%NjK-6DX&ofHKT0=U_Z&qrx1ihkYbeV&9wB~YXt&~w<Ck9S5sA98>DMRr3LD-
zgV@RC0k{f~lKLgdk`v75kst3-NDLJQRa+Rp=U1ub<b28qF<S9sUE^f(qmv9Nc!0P7
zFBqR*kAW$;oMRj~^iZ69??O+w{(u@!^fTwd)b4O3F~K08M>O5;j)8ObkdKf4us88R
zrvbm){VMGrR`6UGSKMTA*!pXoc&shdrm#KGGrJ{8c7#OlxrH#EV?sz?wYmA#B9a9D
zaA(Z3>1OBxf-~(*i%{Muz}>iOgF{H`r@#8Fju9B^ocP&%fpdBW8#PG3-&UQ5^Ndld
z9oSjedxzn&zV~9m`C%jTiFWF0SrXfTfLIsPS-y-xi}oEUT*|9!qxotwfow7n{5Nz~
zbe?zTj2nu3N&0M9xh=lIZ|hXYl%mhAMVqVGI9U7MiRJsf!Un#6adIJaPON@BdG76}
z1to$T>OD5hj1Ify>h@@^rA=STs>eGTK4^`J{gEjpr8-qo1O{`*5Ycm|GxP{)0!>u5
zQt=GTu;beO-?td}A74r$M-cGYx`2F_86n><`%wP+I4nZs0;q!HHrAB56LD~mNY5?r
zObnhwenPUyv)MefCEYB;AC|(=jjkgK+Ci@u?{wI$w^&V}t^NAToB^E;gt~^xTEWD`
z_EYZkh2D6(i@Tb`UoY&7@05m7e%P;&ed#oR$Dvw3iM-5as-#SuCs2DL+FOg_*M-Mq
zDOsAAD*{x$erA9E!)NG=me}Stiha-(6;e-=w4m9)f2w)YMhL8SDaJG;GmKY8V>^9K
z-&HdZSC<Q)M=O}Y;p%3vGKp!$+{w>^mzm{y#W%#DT+L7HC)6y*POhxDEq?#V&D=Q}
zt+898X=+!cJ`PSIpQoh&m^qZqHnJS9)nJPtanx48mL`r~<@WvFt{)z)K7l_(jcl&B
zVwo2{3Qht>HSD5L>-_8|I`*pNX-3CvW0O5u5((M&mH3|P9K9Uw9JSv%RE|Q(6Ag35
z5kdrp?-;IoC75mxC-=O$rf-I2g>#J!xBck55ukzZt(+iByxbz{b*^={V9djp!QtuG
zBii3oYc7~Q(U<r>$1bEY>P8J4nCYmkpEwNCKQ@W{82Rl8olXC!qU)_^acH!Yk7$=z
zhx|iND>c+JbxO67h4->wOO@&jjxdjZ2mhGQ?Z$ILONiDZ`sEUPo}bsvaND9~4Ds&I
z$;RBfeOl=OAK<rx(by$E8%vL3U+meo<N0%HBWDLSaBZ#F*|sOF2*5-9WC+j?r2<fu
zl7R=V@LmaH*J@Sv-LFEQo!<L{HoDz#?IGfcKCSY1@zFMTswbIVWk+BM!^Glh10?MN
zEJAPoXIa2H{Ojzqimw-V-ut~J1GqMDmDyvVF3BC4>IqW;yV|P;_Qp6(DEeg0zWw{^
zG}-WG7G6f}(kmM+HTDiVKAfQn)4>L=5}+vu`|*c9N<F=W3yM36>2k_8n&F|)YPt15
z6@<y@flscc8C=yt3C!$AZ!OYNs^^;mNi+aaY!JhIoaTvXJet0h{Jeb7bxQv{voZl3
zh~%Q7xn*_t6UYaegAndNK+<^HiTUb30<t6q%??hi7w?7mj@)*YZ>u`t&v|7tx0p?_
z9b0Ewwv(&-^Jn_q`{ilnzkr<kK239ncs&_0xsfDQN09uGQZ|%2RCG8cIIn%<0VKkJ
zkc?KQ46LzR*kQCui2sxl+>BHDx~x(lQ24A^gH#9&_km*iVGct!GxLb@dV&2q0P`xV
zjTFjzdRh%TTtoH}WCb~cllX}qn2qkabFvo%iP*eJ@x?dGDhts#rPGF;^~#md4aCjN
zbqMttS>C!lZ*7p;h^Uzc7f8`wIErQVnm>go3}xtd7e5>v=IVv5eJ+vE`OYgUpML7Y
z4>tGtyvVDGSN2+Kg)IBckZaS;nSp_PE{b(!rhvk~Fgw<-lY^ylK%Na|dlbcFk5I^+
zw9RDAQGUm}oCn<EL2V;ktGOM0&1J42p35QW7j&<I_>J~y8q)rI4)<hBv^Zzo;Q6vZ
zp70y=*W-9W*G5x#TREvdYPp3W-k-0p`Ej37^^@+wZ>+OKv=BPj-iRASQh))}EJy)g
zes(^MoN?RNB|NfHx}JlxahLV#E697U_561UVCkjSG_%hHAW(HVe?Wnma}Foh01$pg
z&zQta+cdLx<n;&S+Ygv01kX7fpVk0}t=HC39Vbr;S$^8A+wDCQ5TZi%y_q4Mq>~up
z1M63X0eIh6&w*$Gp+fdft(+ezpNVh=)~{^ukxtVmX6wJ5H*OZm#ZLp?c>lVZF0yF=
zUw%#@@CUS$hyMH3R{!=BTzwFXdyopbINsvZE(ji5104P&40*baA{xOMfJ{Ye{rQ1j
z{oLm>;0uUH^3fD0{+A!{MRIlT={CwCfMj(<S=@4H=4JJ_wrc;q5Aw?Y*4n@Kz!u)@
zH);0JAgOET0YLBgS8E}2HUJ9$0l3Q1Ffg+I+25|n<~u}VlHU$wr%LW0J;u>>bKG|+
z`EPAiJ`(_X=^wq9H}kiq)~qbVZ+4}4!kdlMTQj%jRV9kx_U%Y~krYWc5y6g)Ieo9w
z;;wAB012698<GX*85^(vR2BOyk{7gYYc{q)QWSub>f(=CiWoOP0Tbhu>Y5HR;zmD-
z`Rw5!iE+$yd~Hzefg}x&yiLa?GLm=__sw8WFP)4DJ9JmNQgL3kc$$p#UvaN8>B%$&
zM;#cTOWXO7|CPf9lJFcHmw-^XME$Q&c$TARV<9CogPmLeL{Dhnk^)dVO~9%RhPdA^
zE)!M_Hx$cn7ctc6`*m6N^_LH3=A+SPug|}o@e)c}q~$Boy?Nv73A&opr9JV;yZL!V
zT^F^&`zVkA?q-R+N~CIus~SnphnJWd|Hw17b?#z5$$iH{Ada?DFZALrc|Jjp8csQ2
zCut<Sl-=bB1GSK6=aI5}sp})<1W#1!o|?n$DDz}kh3gwyC7m&@TG|&x^)#Z7K0%`>
ztDS${@AhNC1XVRK{nLDZZ!O9|ru{X@>$RJjqFw@TpJkcv9oJdyKnR;7<^J`SJ5;tX
zs(!(YVe!&vxXM(3t&aZ{El<{p91<lFsRhiJJ9KA41WcefJ55{Xx`EF5j0Lp6I_~Ao
zNEcIpa2`D8qe92zR!^@;2g(DMF&9x!_MkY+Z<(_4W(Q^k&%abo){afDWz>Ijf5hMK
zoZs7-fwueYfV<grBA!_fIKpeWNJKHz-+Ezh=H$o~Z~ex5aaM086sH#yNC0g3PUveS
zsxsoyWMP(9VG~_;jYUJ(u3`w#S%l6Sk`^Hjx60W_kgKa)F|8fK$c6+lQ!Kmux==QI
zGGEKs#7QnIGb^WWXFEVueg5K^wxCe9&0++kBJdMVF3`QkkCi$wUD8O$RvapTjTeos
zDIN4FwdzAzN%a6OwDnXRHhu}sexrosE7EDya>%(mj1b4><QS_{FH9zQ<qzn+uxD^9
zgi+RILC(DCsE)DZ$KAjT=$Wc?>hfbbTHBM0_40E64!MH<{(>xo%m=q7Upr&NufzTL
z>!tmY_U=|ywG4==ERt*GUEzra|HQ-sL2@eYqmgD)Jr%5%ExOqOfVQA2TGc-pFRSRW
z#cVxh?>jFdF{KOP#O0p0aXl8Dw(+>$QV+EN`H62<*=NEF42)+CHQ9$Vo33yr+`Cqo
zVR2nq+w39Y@p(ZF8QQvps58?veY<|t&Br64>qT|n;zx}Z^PNWx90y<P?h%wXOHL&b
z@_hiH<65iXMc1?PvW~;DE}=k`wfcI>`(8FJ%28Kn=ovjhD6&-D7Eog-rg_dZi!|IV
zAHg=VX<*LVp3S1X_sv3#vTD<bM(Z2R`elp>Rpy;xI$v6^`~i8rXG)=o3q7tHoJY2Q
z6HGO%5uX*Nk`Cs}t9(_t!YOG2?RPI$Is9DHna}swRBMqe(rN24vv+*BSR&Z8sK3xY
zU>%ybLtPc{TTjU_Qu@NWFFdT`JVTb;&co>)4jUm*{dMt*9XI*wAq&9E;HoXzJZ-C4
zC<p(KZ%W^t#lUh?T+d8*?M|XAPoM&L^ZD$+Gj_&L1*Ja5m4%VHU^40tFNBkKF2Lkv
z7$3+zchu3=sY9DNB*;#}xOA;9=ibluHH+`&eC8?BenN{Xm|jsB;;xMp4W??obM*38
zVNjhP(F+j=lOP~b%Y%htv{bT}^X`3Yv%GzNo*dz^u#g;-pdSd;_K674egE!92ajjZ
z0c>MOFSz}w?jVLIsSXP5&p3@$W@LUMjpjWv>s|Jyr*E4=81%g=`C0LCYMs+AtTz<Q
z`ZhsR=(JV&_RIa9&}p_|?t!JCtrqEM(TOe|ORd<`&X)bxtMKv-G2?RSdd$HTyZm(Q
z*6+x=VsRn*HE)fg*O^l$AsB~puNw<H<`}tL5*vX%KGb#2Hyewx?fF$KO;7tFJp6#o
z4ReE-ehM~5JR`>1%@=vFXOE9_Zl<u8{5T_7Vc5Z*9qN3FQ=%3_u_Nt$a_|TO1c0`$
zdMaq2(q!gw!7fy$etHr9;XI|XeZkZYoo9$sbfEhfDRw!p7DPrrt7Qr|qpVS%XLjSf
z3~&M@U)I2}Lz|yfx%kMI9KA1uF1P5#@}NsL-fkUnDtvimy^yJ`JECesf0t3fTgueB
zw6w6-0l)HTzn)<&7nw1w>|@)`x**lKFCSD2ZuMi`@MEh2T&M?IVD$CTQg1`l<YUBO
zX5*Q94&QAKNU;Nko-;3#XB!FJHAo!N!mIoetH(vB_UF2UtJ)f--v{le+AMEonl{A_
zEQi|(@cf9~++Qm_*)EsfQfRG$#TJg)FhaSgPG{SuB`#f&*nKP~x}_XiW1LA8QX};b
zZ!4m+6FvtwN_o7>194=85_(aZ9(iY!#RP-}wTtquxXRln;SXO|IE@8(=A1bd05fn8
zpfaevLGz~CZDf0}NM-OgC-ElV8MsjB+db69Ov&fY*#d**lRg47Vf*>)aP<MpDl+XM
zy`*W-mA87#JSVg+CV<evPl71ZSe0&rODg>2{Xyv3{Q(hVEtbtsd}ZcRDR8&LkvD48
zghlSfyNanjoZ`}5Iy~19HK=miF2_U62z2Wts!D?3_nhet_k`N;H_);6M~*Jx(C?8g
zy3IL&G0;}lz_H-Uw=j$}zibt6b&2~i_sp5-JYa9nV&WZ%@}WOS-;ci6BZo>w+u}Jv
zL{xK>^|Ta0`GYt!gQ3=>YNqD(C-D0)jplWDUOh25f8y+NIYCF2^RQ%GS;~cJqT+pW
ze5N8B!csHA8~X!0ES88p*yQ)D=wut1?p`a6Hy^%VutRI63cv@xlP%0|%T?LlzmHBy
zSQL_%^3-pew_ZwGRi<t>>T(qL+RB!)@Y>%0hm+|Z=J^lZY#z+ydaSLZYBz2rMcc#;
z)f#c}RC8$icf3Tp20w4m@>Kd4d*&B+7Pq%H^w4!8MDIC=BlLN}h%nEd@gz>xIb>}1
z(aR3Am)Zw;EIu1%kc}dUL1uPMWVzw+mMgo+idL-)JGzQ7swu949nXh@<-*Z6cr(Kn
z<qRb$o{I{f8%E^HLtPziO-@=L?y@!=HmSO2nO|P;H_p<`^m5p2$Eeb`N7S%Ch`5d4
z&goaECcbg1RGu?#b4sW&?M}aY*RwilL-Cg0m;Wy7=%455xep2GA3um_c}nQ({K?4L
zdGW$4=~+6dqx}C^z6eo%s_i!j6C&~vtQv5FVcBctNgP8L;-S&&k~Z^Up6dOd8?G_1
zKS`m@y<aFfFWJIWa}(dJPcV62PBHzf*N%DZK{zM^$-oa`*+q`890n4ADl=Ag@b;vK
zg9UbOiNb|vU262!3oUAuPbPo6th+qsRMa*TSxaV-2P@z|s1oj#zn+_rgBuNTMYd77
z#i^v1NByjOYrsC%t^w||<0keDJ{_DQzGyIDyaJclswJHER1{uW;ASa|{+Kb0v7A|U
z>Y_{69@MtWe^;GUqUZ_vM3RBmF%f67J@tKz@AYLFjQB)EEOXbBC62ZE=2sJk30GI<
z+TRP7s!KB!x=C<>RV**%SFU}&%;P66+}`(vzvtv-74pslQ(orIKOl+~AJv2fc^c2Q
zQ-BFYjg>>{L^5F<UhmyibL014`N@+!0xU2V^vek@O-}HHm0$;1!7A!6_pE2@ixX6T
zQN_d=>bmvX9*J~PiGAVLa6*ZwyGUSs4Bs6LjZU-<>gm{tyG-uE><A0ZC#X-d;_1d~
zanZ1DhEf|Ru4f|p;sTYZpM{WFQYj(0wakd77GvfKJ-tdIuZX4sGe<iXh=AUHK@C*p
z$n$pi%nRK(hP*{JpWM1@FKGElNL~~x;RxcGg4fmQ=|>n2gfB?4ADa$%l$NR)M~bKO
zWWFu*ey8wGg;tAPzQ&~)!elS&hA-P_sk%{AF=S^rttN(icu8LhMx#K_Oy6^6N}O1L
zPys5vq(}I`$f#VRl5vRnC|9i&<NfGgQ6H{QGV7cFIDrasUofNU-ZHm0bgt+91ES1!
zPS+7F2hY4*H6rZb6iBi)<N%~>{~f5I03X>BB%jI<&1vcko%L0McR*}tiTilU^9Y;+
zDFP!qba<gpXMpA(>FWPQV_!sK&FKfvC<Bxb#%~@$HoIVzFvU|PfOiaOKpskrAy-94
z3;TdVU;lgBj~T>o+>d<p%x4yJ73Yb3UNKxK0Myl)>SnJB(7Bb!Jb4PbBEC<3>%vk!
zmbNj>A-tZ(-ZcYaKC<OsIViL+uLh4@V%F6DMZc_uMi>zwjTqWVIE>18%1rb7X5Ah9
z);U%~TqR~nM4^JSHllgMOtb$nClBH#@frTi1=S|cNc8f;=QqQx`(|v8C^zR1bv(JI
zXc{Pw^4F4CiHr)wh`Egj+7|sA>qdHQvJ*B}u8tkFI%q%UptU=tMqI~MgnA;#vU!Rg
zxxTKx^Zu6{d~$0m9a|bXeRuqp^$o_p3;ux4fNZ6Hd_#ldDlwQ~)%4QRo_FXEs0=+E
zB>O8%Jp*NOi!;$J8CXaMiVIP%!EU4U2N#Q@eKl0y+`Qj)XH~h>-6**ETm&$5N$?0&
zP`ArBY&krgeZ}DUJx}Gb6v$s$A<9(TMdPEDKE3gX<k^e6s?RfQ<ra`Fi+<oWs8Me-
z;NsafRcN2}@quHTlz9c))#iaSNhD(gwyWcT>8r435?g%QfiX+Rel;xndHlAo({-}3
z4yF)_nRULt@Rgn!hlb<j8AXCdGGGs=eh^pB5MK7N!!GqbTkk`A236f)#r7iueYfOh
z)b$Nu;k}<sp$4S1JuYs;zd3BzdmTFRyh)LgdNW-YR2QEH4A0Fx2UXQlI08F}e?&^9
ztog2A-le%Kl^pyMR{pWz)sSmR#<WpNxsPM&OTOK0%|i_l`O-mcMeqHE4szD%_VmlU
zib_X6#~Hmv77L#+vnzTY1eF7EUb)AK+fMM#nN?PY<DTIRuD4ECNosdeGW8eRKE^yP
zD^pTN94zKt@xsEfQ!7_pHyrJ{U1}^gsP22{tI38>4k!imOz|z#{6pAM{Kk6R#U^Tq
zqlo$P@nRc=7ulK#QC{@JT;OOx8a`sYK9twrjFHpIwL|915sy12Wwj8Qmv5+w-YF}e
zJXlE9U0F`N-@(gBzhfjD+P~qEb!5Nt{>(LL<JtLlMg?JWgQ2+(FM`JF2vK7fAr}%V
z@eU0vWw8s@-D-NpakvSMfvx>&irB|ApswQ6o2brOp%xC%AOeWlI1PqaY-XOnjmC}r
z+<o@Z+{?t`=T^6C={S97w7fl9SwACBZo*+l-uFBi+dqp5h1@y=OIa^f4%L?l><ZWM
zdB>ix=?6t%5KoAPcb8E)M7R!N_<iDH$<UU)WY<#6=V*#v?o7b%W>!E_i;(nv-ha^8
zc0^m26?opP$DE@t(mZ~|oqZdsYBIbkT__ShX|#?Wt@2Q&Hxf+O3IAcVMS6ixraqGy
zt<gg+(9+o&>3G`v+V^gjo!H||UYWaoUAR|S`^<CqboRuPMd%VhWQJdz=<wc_{YI}L
zl9cg&pe`Y;;%?lNw*K!>b;+!94_~p-qF?wMPQ@`$b-B_yO!lIqLTkA^o&5E_tO4Gy
zGYvm$8ywRp^_Z^-cRQ)hCR)~T=Nr|<3nw_-C>?0iwM^T)GPB?6BhV9O>6K$_rfFYn
zYJ8C^>eI34C|Ray;iuQ^`opT$SXcy)-2<7V81Hwr4^V6b``CFjq$TOW5EiWV5gw*?
ze<6t}YAV)9Q?yI}5(6kQz1BH_ArNg%5*R5pkd>SlP{Qr0p7P6=fYo^h8CRT3Zm{en
z=C@sFpx<|+|FXN<V{5XbG^0NC2lTtg;4Ytwi#(80I!;o?8#l9LH$OTMV0~FKWxKG|
zk=s^bl3aU}^U%lVEubh1R)+UpKT{$^UjAS*9O55!6fIm1NRg^rSVTO76>A19lHk_c
z>B3@Vn+%GSg;yw#b^Vy}Q>c%wGU~kQVI3u9k3(uThmsaY{Wv~44h`S0WoS2Lc^*#x
zXfxvZ{j@6Tfd2w)`=26af1USDtiyq-i<>;+R*CQ?CC}g*vjX3xi?o+G_AeZh0ofI+
zd5ik;yYVgEqEAOG@Jg}E#&?UGPVWwkD2C44)#3;4^yWN2cNq{@5w8^-)GD(ZITC(Q
zl>9~n+~Fo5-H)`Lp`M^JP%QD})cegP46y97*Uqb;#mX$tLPJt-C|%5HxaiOR_o>B<
zm((}S5Y|?YjSq5F{US2$X-g7cNVj~R-0<Ga07`{EyEk}HAL`8;X<3~pw4bkP$6c-^
zTMoS)?Xv=aWh+kzx_>~o&V=xTbDO`rJsfgWPJY`BDOmPN4&!c`0CG5Dn8JCitPRck
ztadj`k9qKhsm^M0LR)tT-HY5aOJ&=W?+t*H_4bEZAnLhKsEuv?U4F72=;Nib3nV0K
zmm()Zm`|>DRS<a{W>En!X?#zFcw5Fvfk*lCVt=L%e$FrEGnpV~PA2U4*LY|Hi(f4A
zcIm0!7e`nMD<LX~Y^0X4dFF~+Ew4^VO>+Cm@R{)SZn#K$@sm|Ya1c?L;~QaSwl`>V
zTj0QyZl$@TmA!>Au8nsuRgPjizg^o*A#Y1djso0aa937$L)S<i7}ukly^!@zgHOW=
zTXtp&%R--EEXbP(Z9>Mwiw<`CU$^akt@9{UnD3%l|A6RtThr5S$!xjSvL8^zZr<Yy
zq?~layeS1-J?s_$ozBhUUAgY1iZV|o>i5dtZFp#-9B0Ew((Ur%iX_Dm<}mEn-_MmK
zFh4Oer}E`kccR4<Ndrg_1~|#G!#wOVrbwr0$(sNg!2@ZkKiE1~HzDo;JMpc_2Xnln
z4<;+&b&R&&lz`s?ji*^tLR|W-L&l%v74HK|lvo9pktLB87$rh{5Emgh=s<vOSvizy
z%!n~scn_o`0$vwE9!dtg)wK(d^ea~fvhTl6SKm&HpLI5)$gr-X@H8FV5sYHyG>vUX
zTpvW23Vler6TN-65<XEqE=Z^S*_ihOtb9(03gC%cwW+#Bvo~QdAy6#)VcC+5S$w6Q
zT8yuTbspe<Yb;-Zln7bEPo<tlXIjjS%7us@Xty*KIN5(6?pF73(m^gK|B_-e5yG`V
zN+7}5Zpk?@ih(w&m(F`v!nFfu_I|F6hVBy41r87kfE4R49kDTPb0{4S07{8auWK>f
zEh!$qzcL+Rj7#x8XE*U0b*|@1r}{x}+B(~GDLbM%nsV6|cx6wZpAoOifQ2~KEHc=S
z<w>TkQT8W<9+C`IY#blKX43wkn|ojD7Dug<(E>qieV|qE<+7fwV!O|p`_Yzbo%c-*
z>PJc=#q#foH_^nH76_FXc!t47d-bHNA$2Rwci|NX>_aEjZo7iC{sST&5)pC;vn+t;
zaA3zjg%+!R#Pm8X@H)yd1-df2)pcqKM_%&dwVq}nFn+8X&or_v^PZ0PwGte3jFK>t
zxa7M@XhnEU`UOXRDP5i^8ATyf2{Lo`G4rUKYY$iBs}hb0hEG*@=Vi0zeWF756aHD>
zZdV8=NqRye1M<ja%|H@AuGYOK?EjRNo3LG!3ix+XsPckd<^zdF+(rvaRR0<GY`5T{
zse~rO#>2Iksiq0oqbn5Z*+t+eVjpEDq^<Wt7Un!|`oTa@YPCbu;rkya-cVDg9Al$#
zxy8{N?Y3dHS#Mb{o~#Vi97C)ef;;Ab<=VAz-*CmHV7}AoWFMr-Q8ywU?U~<JW_D3t
z(39~+O~58m?WGTS_0YF(xDJ0;E#323CL#GR7mg?c5iTj7^V2r_)JCKFL5#bAKj;y;
z!;6tEFU`&FlyxK8CV>m$#_abx*VR;hP~Q{DS=F)=NK*42*8DWXc;+=bLno0uw-e|w
zEl_lsbqjAR{5T^i9e&X>h4yup8vhekRqg_(oGwu|5V(s(2N*9TM;^#b055?@HF(|Y
zZ5aC2)_sqQZ&W+|Q_Pt-6K&5N2i)x7bHnF#ktp$z)v4KtGHg*0c^{_^SUTGALo~E#
z^g}9}23I0;SFCELM{)J!WHA7BCn^yQC*W}}O>bhKMTf_%8F|-LXRk6O+YUM0DJk!f
z?f7opjo2n}6K&?@E?E~FKt8y&>Zue82^ewTYG%6A4zt~9-7vdemyh4mRK=cajA!f7
zsaF*2lCL*cU?3aLi_ZE!b}KWvhmiFx-cQ*|8oE2(ey*`YdOHlYqrNpYy(ya*^a0pl
z+s@K(_Om6A!e_;&Rl^_FyR!r)m9-4cM#`x7K9UaQ_;4oF@NDB&9;avP{vuBw`k(qh
zqY-RCo+o==86|7bfK^(wDJ$^ya&qHdN5*>F9u5(0a&pDlQ3gZe)zthxDh`74WpUe2
zZe8Ji^$XxMab!i9n+%>o-i~_5E=uTkI$C}!D}=X0tj~=`6-MjWY#9e1FvOkUR3Ak2
z>+<o8Kt3EWL4a|^I&EgFgO#QTd&p4rASM5|_a}>&V~6w$y1&`rUDTI;Y)6}c%g&+}
zHJNRTQ|Wh1jkjxOQny*+!?AKKINbcHZdqy2A{kXDk<Ka$Y{VQr&l4v>%j)0RoJv`X
zSR&B1!-gQ%W;A2%@XTIw_7ZWRR8Q!~1)j)n`<V3Cnu52~Q{8izU?0{@AH93AF_g<t
zkhZn%s)gY%NwDn{Y+eQMS&jcL6#4(k(EmMK{~xx=ez|EL%OI(dW2ihphwqmRtA#1#
zAv-3Ba8ipe^bbgF|Kwo(pDzReGydncg%i)?kBW~qH2T8_SO4Z3x?7K<)v6p66S}5q
zBQw##8&Z(w5k6Z?H~w-HJ`4u#mklQ%faQ`yXug6#Q)rEF?4Vby>wGLsQ?cLZzxl0k
z^Z4?09VrjQ`Clby;v^6C@R%)L-XI<V$a<-7XMn)Y`0W-O)@p3DwEyvSgK>py!$!CR
zOY5ck+<%FgC_uS?YmDrF^0va<KTmzIE%Z+In!s$d3ukD7g%e90F4eM&&6VR|egFTr
z)-@F6H^_O-4Hd$1bI^_UnwN4bjJ-ZgZ_xZ(S;l};!`F^Yri-FGux3CFSF|96TWJ~b
zRt&I)(9}GEglPv%6Wup7KHJODbj4B#()v!0lFe>WY#5&Zkms`<Whkd?=eS)Lx2M}b
zGIh40N(G9tYcsye81>l)I_bkGg%jNfjg)zGCt8(`X+Tx}l;7WYW8*Osg!)zV1YjhU
zmLL(TJBS|c9}3dpHVL3rFoCorkC!VD6X)-Zh*QI1#XnLs!J74+<{)G-_%F94VWJ+M
zR+$LsbYV7CWhFUsLvYrtOz*usf7M@<smtXgUfLV&bFG#5#+e*rjTpIl=86#C#Y;z!
z0f1D%%i&ou-LAw@KD^$B;g3z~)jj(*Tlat%mgTwkxMG0zz1#N)+j&tsMW^gdgGFxE
zn&w@9T1P+<`tiV&3GtvfiLWrLxDv1&ixwB;KGxKc1{4N6SgVw?oCdl4h`Ar%U1Fyb
z1xhOSoqD;IgtLP)yU2fUE-n?MEu{PKBu#mjP_-M?;AlUHqo3lg*xTD}@pz^NQpwZ}
zVnI@}^Oe2tIT+)clCNRI;9qev9iJynD4FcGJ=jk7VE#%r@S0<VHi)$lb@``KfSKXG
z^ZM?2!iLJ|)u?#A7tY4)lq0DC2VGsEk>xxdb;fJGJ885PraidzImU%j<CfcPXxS^4
z%iUgXj@NV6H4eWd*c_;XxdS{Ob@xC=^gT95+QUp$AtCaQJe7^gi>r;9UCYgReoBXQ
ztiUZCeItDI?t!+{Om*-3aJ-$G1X!4t>J`#rg)Dzh)J`>p-Y-md{10RFzdDxxtH=Eh
z#{9p=f5IP-Q{5NPaK)zy+h2jTWG-gklJPnydc+%|0D<x85JCt8gAt*y>HuS7aOU0u
zwl3_B{=@N!#PJ3UP;_C#<0ryvB%P5?R=exo*!U;Cm7f?Jf_+RDah>&k>6XOA%gD|-
z`>herW-n)q68)NfL+5u@nJJU`?9lK*JA>dun?6}+3WBq*J>uYdtwYO^(|O^cPX`s#
zILYCGRf?9=`!!gmNdPf)>lS}3=o*OfxfxMaNDjJNAdeO`b08~BtK|G&AEcA$)Oz*K
za!#<#6Ac?Vh06c755#uSd&5Y6dGy0Wy!1La>fb+r%<<G5n02D^U&z(aRD~`g|84)@
z{@wZ@tpgdFpOqQ3kYoe@KRPQvS~rY!>Lq0QQ6?0s)u})>$#PtOm_VQ>;L$P4GEMV-
zEcf`4!mvhsfKvQiPsn!bx0FjoQuhiA=?BtT(A%5p((9SZm&#=L@26F0r2Ky$Bm4|5
zzg>DJ_)KnYhuYKj06XQ->YZWq0@`u374>U|>ol<EKG|4LZB|%)apKb<ll@)9(#)}y
zxL?hEzcw>!NRd9{fMtyF4IuZ}a74$h@Vk9xZ?9fz1?_~Sf>`@tKt!sx6Nhj?L2<NN
zqj$cInj>;#Dz))r(RQoh6R`^i>hud7G{l*CUxij9_o#V?3scq)ZJ)yiPM8B*Ohtol
zBeH7E%!WrF_hZBv%M;e@(nXl;MqN>noiYiazO*_ohY6N$0~8S|FZt-vuK^Tsw2}xn
zF{87VkWMq!d|R%4<r$-DvBBPWu=!)gLc!Eh^}XkxF-M91oapN&t*+naV(*&ma9{ij
z?G7ymDu3%<SvaV4xa#}aH{7zWd&T}ZY$1Fh3yz#?3(Q=b77RUYz@clB=o2VT^#V*7
zE(2&*X9mH9if#(%WA_;|V|V#NFCM<xg^({(OB@!*zP<Rpnfcwa6OL|0FB70lxHvd_
zNKnk-T5q0>y9m>Ah2djo=#HI6HvQ^}L{>u2H#_gB8Z{BhE4P~keQuaO%)c7hZx!~b
zi@>CkI}(9e{;ugGmN<Cupv&nN`K4%nMj2h<wuMzb%h)^NHIX?V@`W4d7m}oa-_m>-
zfY%SW0ym{$cB_uvswd~7Bwc!P22MFo^(4y8o1Glk>aCx$=;Xr3C674N4Nv)<lPz8P
zFNOYMdw5^T!z%pc?aH7vs%HM@DGT=-!bf||=Wk8R72}VZF;weU>>N)J5S(P^WXpF7
zZ8@V_D(xXLq<<3qfNKQj3wZ9f#r27Xk6`sX>%XV7M=JQ1ujhJYZYz7NjC)Ak2@l`7
zi$~8STTbqufCB*kVbhn!qbvQT7#b7ncsNs>l%!XbO5N{Ay`>(dt2+5t`<H`{{j4md
zqw*@#0A%N#^*`aAfA=l@AO3Zb7beEfnFY_h1%`9H+0TCY!6@2^w>OTzZiF8cfH`rD
zbA_2+)M!k^K0NH(R~{#2*UWFI$K;5$Q@HI3MId2gwsqwb_FE~Mon@!HBw%z4pc&n7
z<K8jV3?SV(yFs7~b)AB|AX?=Ztl#|2z#4|4@ls`Vzq_}44j2MFegcYolJYqv+L7`l
z3}A20Q?|%B-0DpuiZ+eVI>0Y>-NO`icD!3$S$v#9rz9n{4W?=UOr}U8c*#iRPXh0-
z><-P<TZMJqE_G95sr<iMR+2S<T8mZCh<$cHpH<gxqaKnm<GAbR=S)r05s|U_w4dZz
zs_Gep;qD@)akx8%ZJQ_1o_Z=0%X!!#tg0425+@+5P$&w6buod($7W*UHll0!KEso*
zmex}xUfg*Bbdqw*MfOh~UhmAUv)NgHZ@a)GMA;w6>8TsqAiZ!T)h*=9-!1b?O4(dM
z)z~#8k1xCAN7qvnr=e%#$7EbtmBop!Cvxgor0W_cYNP5><9@d*2eQ;lmn1rbpv?9p
zdmd-(Yip{%^x$pnC4c3(?pm*n-N@4Fc?i3SbseDV3SKCSRB?N9$LniiN2%(<ZeeR!
zHoQxzAh`hT@O#Z5#Mo5AOcL&A<+O6Dy>hBYt*MLcFUY8=t57qxZi5-p(EFA4O13&&
z;c=E4wR_s;c=iL;%!zi@Kug;XM#BnldUq&oRJnido#*VG10@_}z2?ptrl)<T^rtTu
zG9q56%8U-Za?O2rW}aqCXVh+&Yy5ju>wC!4@{?cf`nP<HJeHQB2edX+6W>gx_s;XQ
ze-)sGpd}+)<iin7rp9snJgC&$v!s-foK^6%q1b+#tir&wP`>bg&7+|pzGC0D6BaiK
z&59X?$DEv=tR%JVYCsocL2}zCM*zebhhw3topZOC<Iz6)1JA^TRn*1E-r>Mo+9pAB
ze^1T*ZJRRkuS!b0`~Z7z)CsnP_aLd31p@vE8!*;WHQ?=?YXw}O)hE7j=J+0t@!SW^
zG;^flT{KsZ5>hBh3k9$An*6<qe{F+-1b}Vw#SQt}_~{SxX4E)#1yg)hHUpYG`h4T#
zQ>r$(&c&-oSMQT8W0?FV{Mh@%s3BT|*sgA!<6p+L*PnIxUg1u8D%FU2fTxcwti@~2
z^G3L#Xp?Vn(r*ZP<XGoy@)rAF553G5tf%F)VfL=<eU|trPUE|^z4vh&`ONWxSQjnz
znzzZ33t)SGI53qsh}90<)6DnoqijXe2-eTtAjZzIat3n9jGn2dz|_li`VN%fU$?m0
zO*cg{TpPs?%j&aDY;odCiRjHLyO#bhY86g(T*wfsT2;$*n-kZ_!#IhNLV(JX8mLu1
z^d1TTO77<gHQv8fh#T{Sm_9GanW7IS2wR<a^GVUqnxT8c_IC3(I(z_p^9|%vQJcCA
z;ANma?+{|%>?c$|C~KMB4&d*KKCJa6ULmwf(2d^b3$9>lDk!ls(>9rQGihW*Eap_h
z+FZDiE2?QBRSJ{JTNbn?p-%TAc`8bQb|f0m-6(=D2{&b9ZEyL-Hb0Qf=2;TBS%*7c
z8S3ldd%fDBlQFc!0k!doTpx8RJNGC(kbgU3-Y<YDttN_7Yc|5}hbm9lz`4bs)MpQ_
z<2|4?XA*Tl%^GqW4;EbPP||J7$qJs6DC2>(k(kcA(Id<}?CcAdP;J>{WEb-y*#}}`
zf0wXLKRUUQ*^%c{?v5>uDcu_BE@_viY6FUm1`?=Rck|yRot}#HRr~?PX`N-D-YCI+
z4g*7a@jfm6{syJ_*X}RZUS;(}e<{$;c&?$M2(lUtHGHGGz{m9<#FM}IHi;hX4a0rO
zg^jBFu5{@ImuBDh(3kfCnopCA$23d#enbZX#y0uZ+Y4??HXT|$g+40@vac6vS?8^q
zr|3?h{o6bxqQ}s|$G>CN1|q4hxs22W>gqlYP1U_dPUg=~Ke(kM8DW=tqq6IE_-hm(
z6*ceD(GW|}wz-FP#f?wkt;iaAe%MssD;UNOT9K@J|A4NPvTo3R(zXGLRWhW`YhFJ8
zQqzr~3iBY*(<rH8()g+1tnk~4wKZB~L(ks39P1uTd~B`}m!t%5Anz^~P6z9=gr(Bx
z@0@rE{1wa(=KRNT^grD{<~}SV+>)mxp5k3vP9hU?rmb;4rsrAe@@;DA97{~U9>Yt1
zo|nqAOiwpD&?L_5B|r`O%7g81S^T(`SOe{|3%3}QY~MQ8qHKfE3BIW#9%B><N<xg9
za~@^>MCZ|Gdm|$zAC@V1Rb=*1bxxt}L^XVg2EqOlA^qtv;w}JYz3@t_8{D#23vOy_
zWh--R=jO3E9i3c$Ca03)@G6MZ<749$X(3!DceyczmJ-iUI)4raN|lgOQ=dl^;_^PQ
zq@m;=jRky_z4$mU={}(G=w&9lFFYTTr7eKLi(C588C4Ec!c4znQkZv4F^!ObBP7Mb
zNJ0Iaa2<gn%){CKf$M3P+mr0v#k2~k*U4Jo!80uBXbtAhO(i{GFIsHdE$+6v*~35P
zHDuT3uBns&@TL5Fzq=)0-l)4u^ukZ??)EHb`I2d?eP0!5|Hh+D?>38Mm}<f<6D*SC
ziNmuK=Q658-2Gc|mhi58_i)Dho{fvX>OQ0vK)Jc5)B;?~WM;eueP5&h$P|qX8X4_r
z<J4KQQPM|MXA|v47rkg(FbqbXqmA<50qm(-d)45g!M#Wo;hJqu59VK4yg{$zB`UtG
z<^QyXGdb`s^-L#9k7liLFc<aPW42#;arlhOjwdNZYrc}pfB6Q9+(*~t@)sY*!m3<1
zr|Lz`@};_x(nrrQB&+V9>yjfZ8XsP})ITdH^)4UEiA|bzIwM^_2IT$$T{LPg?kg2Q
z&cz4qQ*#aM($X2LI!RR~NqlU+997PJT{xbMiT=R-uix{$i0=_~??5F?uR9|<6J4$@
zyFXFXvwOO_l8HX{I(C=M8l2w=K4VYuyf<LVt5eMKyIH-wJZR`=**B%jU!ot1(02ED
zj~3Dd{B)ZkAM=bnQmd>LsT|BYeI}g$nrZ>`a|g9y-25Ik^{C>B;=Y`Upg~SuK))ir
zB`}Ho%lP#lGoVIR#}VtQHQB-r8M4E76uD85+*9X|Nj{?nJVuTHSwvwmQu^d#9p+|@
z?~PgQ@sppxboF`iA2U=mVJCcB_F<Vsf?FDF9rrOw9qU}zLOF~|DJ-i%g(OG>&VSoK
z=OU3zW%S)e#=0q<g*I0_YM+J2(=F#h-fsQ@VcLr}Egz=JTF93$-UpXkOn0mgjC6U}
z$BS4H%EM|nJ>HTY6b)JoY-bu!_avBzJ!mI$eB%t^-y}`t0Luei0R;nq5`CWRH?^`Q
zvx^Kqtvgt%y91zQ*WLm1vDWaG?CUvVhM7Eg!Z9XqC2!&Od==Bu%`=xE#h%grW{~gL
z=y#2pwBx(oKJCiz{F%HexWb08moLi@sYvxDJUadVVedWTn(Wr}(I_ek0*V6CMMOGC
zS6Wo03rOz-L_i2ddZ<y5-b4fxg-8b}ks5lW3rO#s&^rkw1PJjw?maX6-S6x@XaCNe
zng984zVOSlSXo(XJ*(X9y6)wWBhxsc&!uH=-ubTCd2Cg$d1x#8g{}PNL;4*7@;`C!
z)3nJ8R$y&oxK2CEb2&Ie!S$SJk^F7|3oXyxX@btS3jrIf8{MO&$T*j>+%lBNr}Noc
z`Yu+VFR$xa-!O@z0y)|CDXZ|_ES|P^#c3nvsBNdIMwkLN(cUU8jDH2T=4s=_q`neS
zxyPsBsFgP{>GKF0o&iK+6j0AOAN!8>9)>#;<rX@&I!t*hSW8ONDDB?yM;57CnK)<~
zYOWpe6JtB|79uq6?XFi?IJY;n7aFOHJx;Fd<=fS^(P_qZ%a7`mHQ1U$^Mn`!v5^m2
z0$xJf>a6Dg=WQi6zT(xSmaDjHueh_qkBjGD-(Qia@?d7C^fwx~HSmSr)odL7IX)rm
zCRXL3!078&gZKKyNvEX8vJz6vZCbYYtvxxl$i+Z`MyNY>$24}gU4LjR<t*Fa<Cn?r
zqGLI^lBo!h1W$kNxqt-{peVGb_v(ICjyn}VKG}=w+x^XK#;S_ET}D9W6O!i>w_j(P
zufAO~ah@%&@A}A%kbCTBb|x+zsepa+6!~U9Z@#j&;+5&GqWYt0X(9Q|Fm3^vUFi4y
zdK!&>e`_36yKGQ!WVh{Smt)6`sc37*t^ID_4?F`N8=4ul(H;j*!b8Vq8EK4tts_Y0
z&MS2uH5wiKByj%hD*URyI_|8?bybX!N56G$2VR{&YS`=A&)k*U1vKwH=BrNP!XY=d
zh<;8OrQjx8yq|52@j2a13K@9ehB^CY!dYc3fAd~m3rcOT6V~DNOw(RM>*)S8C+Yhx
zTm-`X;gQ8+rWA9BAiGj;c$*UNaHn{n|4>MM0nG@58eqK==Wlp~)r|<x%wP(29z@;H
zd1(IAXQ2T)AVG6w&E!dt%$8<PkHQc22q5h9Ec7Qy7~Y{y0JxZ}Bmuk=m8%Jw$k}iU
zCl$&37%QK>Fo}8DZ$2|KrIgfnZ?2tL>?{bcdr<5hnZ~4>gOEs3J9NQlWjKAP*-Phr
zbXcZpahkCD$*$kt#~I&*v5P7CF~vnqVLd7*qPIoV$edpIG3;pD<;Z5<Db>B!xUmJf
z1M|~ER}&!FtJgZXQe#HLvr1BKe?})>gdaR4{Mbs_4iqGcU{~JAD$l9c)Ax&afXj96
zL^5#Luw~gL?C7!#WUB>^e5QLBvweae%>9uV_ZhRrK}Cl|22QXm8IZ@xI%N~3u}Qh}
zg3ln_THnIEI9RnZ;&e1YMVLOrUIa=bv32&l`o~)lD;1SPh1<fM58qiDE6oRlU1$i$
zhuSyXBkU~{iL%qKGSP&T%h7u76?vpS?-tx@QBD-RC0h76*0rJ}WtGT$qGDe&8zifd
zzu^^u>2`1CNYEeH-e$P^<9g!63Zp?gIbfxLgqMfQie=3*pBRasgg>L-t^1mHq+Nbi
zQ`!reAVJ0b1ee@K6IYu3-tbr;kUf$)$&-e1D$kbnn-K*F4<1jLAB_kUUu9t98W#4y
zcdXbe=_P&NuBwtzR<lj%T>NT*MMu7a!Gt`*J-|nFa>7(;P=nv&vGzMnfGn2!G{Rpn
z3kJvgVe5{aKRH=TOgEf_1>Mat=vXQl8bX(EC*yPuo1_=hC`aq==e)4bo(d?XGSo_%
z_aRRjAM3gmvLFYz1a12&CTXtOOHQOEyP=X8cy5P!oFj*5r#Yab{PlAPoXx(mwFOg@
z=8{eHX+EX|eI*ST`DQ>C(WnBe6}p0x3YV3FV<f+^DW)NE)u{&9G1HtXop26QI7%qh
zC!YkY#n=Hxp|g)ldoM$L<_*rbpYBqDwEG)w`MVH4Ww*{lF0EQH0brZ3TsEgvMEJRZ
z8FNLVfSPEbV%WWAYl$f$Gode#v!md}anE~ynfYnD7L(Wy0}<DKRhccF6^2+S*6O(C
zov!+yPhZ!DOf+U|KxyK|R0<f+EA>&kLL@h|X=q6UXxi9_e8ubxn3G_!r$Mr#$j^t9
z)ir0&0Ho_&$mnv)Y1RFW0C$b5p(~i8TeUISkgsHjf$9Lryx?eP1K(N$>+r4D;;GN3
zQsuYKP^}<mV|HB!&snoV7wV~5!I*Azm=lSM$TcKRQ);e^hXcNkA=+*JoZc=0Wc*Eo
zZHkm*GJM6yTiCeQ2cPbTS67T~&P+T!{48}Y@YXB&HyIzV(MMcbe;|JRAD*NCCn9hV
z9wR8QoTl(5hOz`tCV>g0ak)x-8M)IUh@2+)H80Prc$}Dn&#G$QKz`T^P?0sPgpMd{
z_X`*4VRAzH*xmTs01tmrV6Qq>1Y5L^8{d#-{fQr?-@B{C`P0?_ba3v9yM-qIY|CJ_
z_5_vc4zvO)T(jMt3YkGtxO+uub#9q-ZC6*!srnlN<TMV_7itA2+QQ#PMFC)uMl#v9
zl^kW0GVb=B3+?$5xsy51js25qP3<Hx^_M?P9*;=H$#WMskhrj@Fbs4f%1L4=<#-yU
z%*=ujm6@;WdQ>^gKIg{hua!Qz3iOg!T+sPR=lJ5)p-O0Xny8WY=F5R)^^emVWfNOP
z3;~+F^EQen(n4$I(;Fy_k?8~ZywDfhR;tfjZ#$Fm^Zwu*X|Nc%IZX6BQ6e-ysv^8D
zfLW^zIu>Q4f;yL;>GYU-L%twg2zKr+nFO-t%0u61$K40{lv7u)skejpSyosJzPC5;
zTp}Fe3vv5_yp=)o_ry;WXb?g_X(9KP(Rvt%x2`RQ`Pumv>wFqgJdSB`e!i@US?iBJ
zRqjBK<ns>DVTjA0ngco14+wFEghXp4Dr;|#cWrJW@5r-7SMUfdYyI$6>CB8-xAjZ>
zsH&5-K<EX9P~i|vKrdav95`g=ES5eWSeiv!f-bhvE&c_sT9b=K5Dt4T<EW?D);ch4
zOX-B7Z_2@V-QKu@V@I3&B;DvHc5Dek2T9Aw`I7kF^1w+ZE30Tc(MNabjUzH}hZq;o
z=XnZlIo7Dm&7M~Fv3{Apkiz-4sSbeaL<q0o+7dCa3N%5fusB1s9{b&!lW;xlOd)za
zWtWQoyL4iAca!m&m_yko`s%m0Zgi#As&4uLAi~%K8cJ9~t1HZ~mB|Bo`P)(D=-@ql
z>uLR3CIWGTiiPb~4ioKwXek=P?NkdETdxXq&>uD)TviiYO@L}eaA#KH`PU5CxUpK1
z`*~l6w~5AIASJ4cA1?UWZcc_dAQxEg?6e!C$@P2Cu&$@Dm0VH2X4(YqyK&R<O4<!6
zc#*qzAS;Ssyr4zR{ib4V+p3}FN_S>C$?amV0n6uSHHfh72pj-e?ySwEy6SnrrnX$i
zr|Y0bzcF(v4c?PSu!e@1(24M=BJDhe^h_&MkiL@ka^A7{S$AFhb6jZd0wO4lW$54&
z66H{PyRy1^64edMhILsFZFc)6`cI$Sus8X-Dt~+AS?z8eW8OMSE7P84Pws2Pl#05q
zSg56pZ9_cLh)DSJZvSuFyUY%wWv|&RFvAQmOO-V!C#?B{v3GY4F4QpbabFyYiXI-6
zzDtO#GWlA;=+@!bzw(yIm9!0mqhwX##U_s$M+R&zMk{NK$&M-mw3z;!ZBg?aGM7S-
z<Nh&dAyG|t!stUqD;5bJ$C}xKN$b9%PYY0VU;vBbJGI^bT6I(Y+TW(Jb=iOS(vh{p
z?cqmsfONM}g>)mx0P$3lj{r@=6G?TN4KVQO0WrtL^YvYGJH!MhN>cquw984BoDp`m
zJvn_G(1G?=ivMinrc*HM+axOHXj#E8rcGFd>Jr=QAsGp3YQ0uD^V=xdL2ZJNr@B#L
zv8-ai9mF+T9^;44$-dBh9xei7pr$a3mFCh}-ofZkbMc&~bBsOAqZ<~%imrvM=e9GK
zY9~vEaGoh;$q0=eZ!@fi^n^X%Aq@lGBkI<c+0KMWu+A(@hkxh#*oKpgKxK*eqnmYi
zxr?D*k<$ag!^N|qZG43z$vcGY-`4r(bZu)0Dnaorzm}Q=v$|iP$@uW4khkX_oMB-*
zg_dTN$EZG36Y-T}U-r;N>b$qRD8pL-mhkum5|6uankwjA$8e!~&UD`<LAAz5(5#qV
z-TQVvyJq6_6j2^kO^AZd4|?CM3K}j_Z0Ii!@?F6e=PAAJ3OUnzzNA~adPP%0@F&s^
zo^qe-V$W2Ulcs5_JXvt7JO_5WKya}6PRvVZ&KSL`95<t{O%}N+&#9IU9~ke)U3Xwo
z`t((EltJ46Vito-oqkzj??Amt<VyaVbp1Uw>6ueM)7<!I>`=~8Rs|`3ZsrcbG@U3y
zaPrCNOvx$8=?cInrVNv5*sAv6dNie%tHM1zaHDauw`*J?Bp~z>Z|3dos!$>dE;ly)
z=p_!^Z`CAP-e7C7{YY1S*RCsqv)4TGyw8E#SNC_?UXhha0jwt^`^ofHUEwz=+5>zO
zzJS43yjNymA90l?=D2>(fnf)O+$3bGtG=S&kk@<?SZ6IUv%w^X2p2CXl6s0#FW}Gn
zsjG0avnD=>$}FS4c|_iA1i%^$`lV}NQf1l!ij}!>O?b)k5WC$__ex&%v#-1sBF72(
zCt`6SY)m-zH-!>Owb&jc<*P#;limA_UhjH|)@&8q@1K%$VGA%@=qB_TdwGV6+IPoP
z@?b%`#7AY(E4L}uTs8#{)S07Xs*?On!zXy31;%Ds1|QHpiv(q7uHr4&2c7m$r6*)$
z_&vw3U%kvH{3ZV{-{9R6!l-WLDzL=g>nsJjY?Sdz-fQ?5==r&TTRY9i46za#*P09;
z@ANa#RmI-*EqwBmg64@GogW6gSzwJ#X*R<iRAx<}-yFcgtD>HsFFs6cl()mtAk_|Q
z0DJ8uWL#3Ivb^6D%noHj1{ZM|-|WkdFg&BF&t$gr-uD@jsEa)$3cw@TD6#MFirF)r
ziz=9vr*5^Gzux-@#?7vFDE%TvA(?`VtteIl#B&1#;4uDRp!lP);$Qqs<(hcYka-^R
zW`+^xNvI#%|BzEl=8~3`8NaP;vc*%lt{bA?rNfI91x_x5l$!g!R4{gBY)F)eJ(Gvz
zOR&&YAD8?cBVFPZY(QI{CwbqT)CDc^1rAEztu>3+iniE&8#;#bHkDD2SeZ0<stSZT
zyGfix0SJpj8tn(g%dV@arp^05Y?|iIvmKrCp`*Zd;Io9;mTS<IhHw;9){l~om!+j*
zJgd}Hz9DpLRwepax0PnSmwx7w<y+})Z)}UW+&k)ov0|8=*F;mOP=YmUal_jV*K-;k
z-5k+ZVlkJN9(tZz2x=awrU`|VC8fHuM{widVS`)V($n2T)Q}4*#-&+XvT@et27pD1
z+XaI>xq1LO6&~CeEf|dTj*GTUHNLMlv*)~aXF8!_;-jpbOp&B)?|gETj0+3l)?~9+
zWhEXTuXQ;*%gHF{?)|4SICJ^hISo#Lv&X=s;*H_AwsgavEYZGf!vp;m*8$^wV1Uci
zX10#U?OZiYLC2987VpqNdYF3?!<`lNfecg?C!77zhk#3kkO&jo0t`EFf13c3eu6np
z<M_N}jurc7udQ<>bC%D5OcXuhnCtKL3tbEu!i#v-ij=vz?7XH&@PW#oNIj(ULxC**
z>{xtQL81NER_1Q6c$TkSw_`YY<gjLOP4%}T`4!&&lbcVXO*^at<R9>Nj-9>j670e}
z{ilUfYomVg{P$WiAC}tn?*K8)c0_w1j@=aT!*EP5ns2v4qIBJVlO^3_{&3T;o({u4
z{tLteUm021y$=76ss{3H;Jsb2Pi{H<2Weq?6?u`=OBnnGl1G8xW}bi-w1~%3q(^bq
z>_<oJb#j>`<wLd|MHnF5w;_%Ws)-?gXw>fpkn7>cDQ1g(7hHAd%ijbpBZ&h=MZJqW
ze`s{9ofN3NL-XPnDE_p)w%_9FDFT;E3UG#V{H;~CzjO-br%a67mYa#h#sL<$81UYP
z`w_(-8pVqM!;L>_o&YbxUAOlQ-~4S@hO+(&xL2@KS$@2FTt!35aneiq`5*C!;Z|-X
zev*aq4z&;X8)>2PA78u;Rygk0f&7HZ4ku4JNx$$!6zIX+=n%jwu|Jv0{=G&qby4H|
z&$}V8F*hprg((BJD>@pp=?&LD4!=)<Dt!Iz7K{7OZn1a*VquZsjtLu<?{u;A(YYwt
zZ0#T0sAq?|Q?rgmPoSHn14}Rg^vmn)qR)o~t;k*3`PI_HHY`FRYN`JE(w>3zz22P7
zPupzuc%B7bQni@&N0}a{)nfdnb)OF0LKu}sY1KP!2Qf<Ju~rxP_VkIXYf--#nFxpu
z)GxeLDc<vve|{%|Bmqba0mTa7R^ccnk9@cFkra*8L6a8uLu<afdVYqi$_$bVsDq88
zG!36e`ZjzH{k13!IiX)5sr7(XGe|7yjtPv}6x)+5OCx@~)L$9#9{Yju_UN?}A*iHD
z?;B)RDPUjm*J7Hw;w)=;xuhqI^}32!WtG-MI|dR;bi!$2^m~w&LOBUfVT@7n??G4Y
z$ya=QeZXNU6S-U`SiDhFTs_b1WT-&u`c|6C`K@M8;j~n=+V1;Fm8|7x4==W|Yo2CH
zcm9;wpr$UN+1Dc8vTx0GN>p*#f9%<r#aHJa&dI4wKCVB_$VB6~+C%qi`A>`tbqu>E
za>u_PiB0V<RDYo<MqOUu1e;tU%Rh^jCR({-da2i>xg+YxFulyi>)#*~VK~i<1k+ZJ
zm|F!5d-vYn<<2egBaieK6mF%NXd8Vrbin^({{ptEy0#RRnrRw3Q$-a#c;}UT`8l>Q
zac8#7J!Di^_%^U1C*z_m*s)t%llI5vZw#d!8AQu7`WIzHt5?t5Z?DiMG@pPcVcz)X
z!$g~0=y5rlP=K8Cj)a)+QgN_l&E1~65AU(&k!=y<OuBFe0He!AAkCfNQ>8nSUOV9A
z&(0H<TK!Kj>Kn<Ynf~OIW-8C%<YMJEJtK~>DhFRlqV*q1vP88?vD!yzR}HQ@%RF59
z47fn6{dsX6gaqu)Bb<yWC1?JmVB;&vt&gl?=9ZSz7r|<T9xAP7z+6`5()0;@4LVU@
zREUpXQ0Tv!RW%elTU{alOg`}wHVHr5gf3@8<iJduXE?E8VG`z|K6k#2M75Pk?|ViZ
z>FzvWcX4KHQ+x?#A@QIZd&3xJcucS6eX{=&wYh}f-s95i2|(G_spFpzjP2%`nR{<+
zpuAIZkWNJw*$EmiTLl+rzg;Z&{H&H{GK!=zXbQ;5wZf;ov9IJtdKS%%8}FZy9UI1_
zePqmkO`hKEpN|_jY%~dr_K*{68J)R>lU>W^RG#a;aOn=q!r^YAKmNO5yU8B-jKAh^
z1N|zR$+CabGloHJz|m>jqg&YMZFwc~&XT~HC1r)+wFm5e+l=dAX%hls-upYV6Eohe
z2AA{+=`b=Qls3TMRsUqBT1w`lI_KpD7die7;jmZJ{<3|Ke?AvAdd!m0(RsO#{E`)}
zzyv4UCa2!SL=%=?GvHxQE2pcMwqO<gjr$_Hb)Y_&lW_}j#s3~b2IE3SR3)5zUBh3P
z_yy7kaw&UKDyi#F>%3zTcAEJT{Y}CA)5r6@M9#}IKJI9FV<36y19r{l)ca>?9?=Xm
zNa2bT{T77T{mJ??3w&&>;92(@=m$l`e{ksNz4aT(&VIvQ*50-SQNnh&PWf_;ycWs?
zSUb0FtBTq!KUHmeLAIgMeD6oMYx3+hK>-r)7>x6WS6%ft=$>St{?k_1gC7!m=w`^P
zSu84$-W0YA@P?bb#ck&??amrNQIs#dS@XV9p9O(hMd3lmZ0RTFFr5=~RFw9pa#+&(
zJf7RK)QmHc`u_g)GyA>4p3{EDHKW%|`T&?fMtS`Ufh=Hmf4%bcab3XFJ0-b-?8}$t
zf+3dx|A-$F=G`<)FX&OP=BGYwIDd8(H*<lj$okz4)b(D?Gwma_kSNH-O}HJH(%#}8
z);T@TWWx(J(hrdxb>7Ik9ZT2p<uk4OTVQl<-#u@=a))pN_YF-tq3h%^VSTWLVYC$H
z10;8gO{QzUt;NZ^_{#4rwDk17FxLPOvKvTcx>3+A)jW~XY%8=VDz06+V#)oP0(5-q
zzk|>Ex9`$$41*W9h!Vd*&*TA|PWEwt?|~2XpJkrBe>Ft&AJ#*1!jGg+Tu!bzgZE2k
z>fP#M0QGWX3%#iUxZel5d_f1DJjK@Yfkocw0B4?1rj-b)zG5&ph4I0;%);lv!R_as
zl4~jYyJPJzy=~w~b}A1Dy*lpDqO59&<J#$`6QRZoh11!CoAHFvTv87^qXe85rq%iq
zwvO+pV868PZjbUUr(AmYvLqqmr7DFAOZ34P8i2NVwh2<M1q6pMZ$Puw*ltGpt;~zV
zCPai!qQ74t@<$LF=fNxvzd$TR<~iggLL``Ktd1scUH9~(txu)_StoN1SubY_=&)BL
z;Kd%pkYOA_xb?Uv6Ia$+!#cgEm1At$)b~L9ff8rJTe041q+ziy-9mWOdxLId^;lb?
zzVUtKOz3uB*|Kn6=1+*WeqM3#vp&mdYJ2E+w0*r{y9H%=UmXMkzpe~qqjuU<&0nLP
z5GV*>t}=6xO=s+-+pc5)JC>jjBwr=uQFPz=$axYU?5s<83Tx^csfg!&kcVCtj|DEq
zG}C>T!<lE(74em3O6bt&d0<K;?j~khM3rZ3ztOIEuz!7!_S(BhtpSAMbN7p18NQIM
z^8b{VB=Qb7+(J;#65vLt{)&3)y)A>?nFqEZyLUS~FUrXQV)ykk%YoDc{k&B$9T1Gn
z1X=ew)NvT0uSB|>6Zph-bMgbN);Sbeg{w4bGp~W8givIc2enjOkl6qT7g13(w%9z%
z&+nL*pZa<rzvO+P`9L&05htn;66Yr6$XXFs3umY#U)(8+QyUEIWy!g7{s}S3nOyOv
zU4^e^4AyH$lQ760n?1~t#ML*d3RMgb6<{<C+}vNt_D#Kh1|u&<kjNc_B4}mJ=lOFR
zuq0Ggl>MgDO+i_;FH7%N-bqLM8vcY_pVh}neILXy(?rwHa101VOCB4<TR*#|SJjoL
zlIt9(Jqu#HFL8XklTpR;qU;sFQE;xm3^pgOprODDlgiev=f6{5`7QGP<T^%yz2}u|
zZY$y}Q8jM{Ce~^}gJWR>kfIT}Q4A*m$O$KB4x6KQkAbvBL0L=%7{qvO3%!L9&Mu;2
zmLaF&D<Mkt<lM^UjM+={%^O2(SI&Z1VT&op7XaX4(;?n;WK&iGi`SwiWQ=O!yo0w$
zy;KL?A5%s=IWIHGF4~PPBkd7o=qTqv{ueV~9D7XWaD}O<vEZHZ$idD^J*)2#4}YxG
z(gtj-GVzeTBJg87;UN~+s|JLGGl$qrH=;@eT;GFKIV`Jg?{_QWb})`W2&g>cEWu=g
zBqs{}_~pG>7o#UcNZ;-5#SIkQDxhJ%hJC^Z0FZB-J~3d9{rcEyN(KHCb@JDTUyYeR
z*v8&cleN5}9lE>|93OAwg)Yk=P(vcvxN&je+y44i^BRKILwzQ3_l?E&lnO#9&fI&-
zzm}r(bY1_IjqDX)CJ+%vNOsL9#LX32(3KDxp~%%yS_SIlEF+_H!`y6^lh?O;JIT#J
zunmYWj8ii~1sfP;bC+MRKFjr++(U}<3c3E$|NfR@n7Z^5lItr6=VQH&tDd&+6^Fi(
zMK&SMQ%B7AhNq++5WSNu1T3k_T@zpES{a-#>v_0kVeEav1H=CUVG<9U?>F3503;oe
z*F{@&0+O>A0S31FHspz{)P0v&H`aZ5$l49(GzJKhnBv;gBAR3jKY3Xa`|ahqaw{p`
z-mXE}<#O4FSo6AvxObCny0ecbeC=Iwx^l~(mu;_m+ugvo`X*jKv*!UWvy0sqq}^z&
zA#b@?NMfH-0aC1$jYSC0MZ}u$EUz-WJ99IB!(1pAOQSa+>ohkFZ%mmk{!qj9YM>ZM
z7vc5U%#;lAK8OO%or3S=A^R=}IP=y0W~qMDrl&%BAlIN_rWMs?3M`eP=b|~zB_y2}
zOMAnjM@#BWlf|{v2&Lk#wI`+Qgo=L(-_~i@8VspJ#jziky<Ge}7maxo1YLFDA?xvH
z#^yjMh&njK$nJfeN$8b_m%Snwsc4eZa_`;m)+gv<eOEBOF?HU>-T8`s>=D8`>-Vg~
z^I!2ToJ;5i&WryNprWn#Fa7__qI51X6&;G+R33)!qqUG0$bWEw{kKv^(JcZDgWM1&
z;6`+6CncGV78}N+iKzjo(+Cv%v9ZeowrVrGHkYH@Gk1T1zUlXpA{{o@W2-Yw2vNU@
zXy10&`A{~Bk_BnMK4<qk9>irFiFX;T(*n@k3~NA+i5i>K?r$!eC--j|{mx3SMtj~N
za0pDvK@d3+P9<xMPk>4mIUgtXWQ&QJ@poQEioJeEtqDWs6Y1urg)zYTbM&BMq7T+6
zjaI(w*cyo(8t(RcFi6zSGPn0F$}${b;IU4*l+3s8#{?pv=4YaSOq6mMy`dF?-<OGY
zxYOw;&n(&Qd-rb`HGP=_6n<vRRzt1bi2;<eo#D#Nx|n_AKBK@;q3eWewHcfGcCW;$
z1;c4Fpo_?PjT%&x)KsVSEsyX|qEh&+C%cp|u4bq<R&Z+|BjIok&G;ga=~GLJab<w$
zk>GPmt}5GeD(=I|;%AajWoxqx^1M?MomN#*8WEZCzWMDYgM*G0C)0*a_^tW+Cklo3
z-R|C@=A9eSK6dQFGb>2715Rx3<7B<z1IhBY=Ihu(DZ8Iw(b(V#q$z=4qoQiiHueIo
zJ(k(ey>>gjO&Lht1HRnw)#c-w*S<?3^5_K&*EpnQI9xw#4B3?p6sDVj5a7xs)gzwv
z2Q<>_5|x8j6<hmaHPTZa-Tgw=%QE7Gh?P~$^#=kt-b5TQN4S&+7^u6Hn29FU#=S17
zj5Tup!8uUxyn&$)ekq7=b$7Z=#echU@4dfD<7Zmwpa=5_>I5)mnqw=bKC8jJZpSTN
zHap>`P2)2f-N>+@Rus;oVw+fTBynmUe_*Ca5=xprg6_)J&WB7_W}e*LNJ&Ebx#rg&
z3zS58fm%hZmNI;;N=E9H=R$HL1sWJv<6#Z!Gdm_%;zZSL_-b8ugLh&p7H7-3LnT@U
zJmSv6WSSUEVq$CamF2cGS3*$V6kq;Sk==_0Au~Nr-0iJg&TOzaAl|n6m0R=ZM%&cL
zIcU2EMWY0?73oUy{>9Dr|HcOXM{S(JG)UqMqUHdIZD!Nx1ir*7!&r5$TjzT9kh9K=
z<l9-JE3ZGlGNou|eMyt;4Z+rt0K|F!LoAX+U4$mota-*=USs1BVbxVHA9`Xuj?bgl
zsNRT<<(DGS<-S3$8V`W66kzO^%e@2(I2CZPejxz(KyrgwqB;AY+X75YA@&&IV|tG`
z;@LPN&z~O2#7GQ?X819WJRQJ&Jq+l;49Y}daOf}4{!@ScU!dRu7m`ppaC4Zz)JY+!
zoWDSzOn`z7{HJHoPoUiu>?|pgCIpW41df{4e!!a3i$R}WXQu!nr`IQcfuf4Q1cNl%
zU!Zh5;5PUUbfqco&jqi<z!)E*)Gts*Fa|<oHHG6m;7xl3-~dx3Z$cBKD}NJ^YyI6c
zWd7aL|34{zSsVY~ofN<y4aTCQbCLwfT2hp%1^8<o54vPjJ!chtB=Y@u<P?@28k|G$
z!xwxDQ~y>un4a8-ip5Q|loVX`dvWF_wbq^b;#U+re?YnZ{=5sUm;@xSI7%cJ0Hmzo
z#;}VewBSBQ)q*^pk>03>@zM<-AM+7A9A}D;syHpx#XN#?9gG?bWQ<Z(ohaj>Kg+~V
z>fZ#o_A!A@y)(Yr8@wB{udLiNlN;(+%G>+lHgK1v<aoH|zZE#~XCw6gspnl8#E}fE
z7^$Up_EfMOX@=wk;GYR4gWyf|dO&@hR6FSW%Q*R&+f1^K0f%<#qp{bnP&<MCBu3`M
zODqA3j-ygIZj$Ow1bma#71*oYARpys;8^h2#35f1rREs}g{CID3hXOKch31zr5pV$
z;ZHml{Z`5vp*9N~6y`X7QWVz;=^7r6(XW%haX%rbp9sRFT8>-XyR2+5_4l*XpU-l1
zms^9pi!Ep-?H)o^cAWj`=1*89`cz!(2F4zT`%G!&@Q{`KsWoLH-%bQ%-&h!o{mn2%
zv3hOcPOwi7%vyU;v8Tvt{*r91=_j7(@H#so<!N@4UfgUuz^g_epQj1)XYgj-nyD?O
zwF>PayBPsSbFh25i6lH=`~|`mG;qQDp95~yrodhzf0D~Myd@5I0nChu7(iUh&M!4r
zAYGjloWJ#uGZzJUGU_r9k3HrNlgKa6`_eGHV+p`LQamm|xW~g+q3Kv~ixdC+`DhfA
zS$6~dxI|q+rOK!N_xr_0&+;^LOQQ#qt<&yB>LSXb6MGa$blxq<V}WD@K?`s$gs}gq
zC&RKM2btY2ChO8Pz*+rw^ZMtRIM9-)f3ase0w@drVxyp4G(mrs7QI?(0mp#tNY~*_
z#e_uQAbz(8#O9xXu}D3jy-!@diOe$J^q#76fBQlMi0S`jFH#opp?!iYZa2{h8nG@M
z2jZwZ)28=MW<Kudz>xSbY;RDV9|l3O4uvJN-837Yy?t&XX@O$E<FfnrVqc?3{ZD#}
zsnPZ$xd!XB^^xempN-#F+aFh!MJ2VOpa(M>5L-Y|J8yVOuii`K2K*errSr#O(QN?g
zUp!F!_k$~RVT8%dyM)Mc7i@?SEo!R$D2;_43xAn7@Ag&m64^}_!<tbJ9Gs+T7X{vA
z{OcxA%=CX$GT3l!wLusspXroi(v@v$F=O7-bT2-Q%l7s@+3itIs}oCqhN10SL8J4^
zVarK6XZdD?yUobkEA>u;6A{}qRAUJUtvk{S`|PpcvaR06X_+V06@#7{isc_Le)sk>
zc2&8PE|7P0bb|uyi(wnhBqr=6ELd+uP@w#2diVaoYkC@m+HC6?qCFPi|JMMwj9Tyv
z3YIe;os&fEPVu#hCA|8orJF*KX-i`yM5X(mBgkYgw+*yyw9GYHeSP#3S0Gz-_FnJw
zrC9zMVnDV%5Qo2l4Q{NNPD?J<%AA~Wkj{>&<Jc-%qP!9l$r7^o*)9ci%n2a`e}S2F
zGS{0Llz*%IK*o~LdHo(IC!KI8(Itb>FkUQft~RO@qDeXVgN3HEPIzAbBi61JNl=yO
zy{tM9rjmF!X?k?mr>Xn(%B9%(Vt<(itan5pXK^itl29J?royAX-ygx1z5lGvjla?O
z4e8sOcv5BAfWbC0b6@#gNdkVRdmIY&L<RQt9h3FS2O*eu$fFHYiSoFmok*fY;kuNF
zB1@%vH?4r>+?yV;BmJF_z`M0LRB(|e^v6P^kMV1xGE{Kn0q?y1u&efoYQ-uV)3a(A
zqD;s3b;VurB?`<?$8YC5QU<-M%-3n@xZ+TCZ$j&VyY7U)Hg;({)hB>04`Ek+^NAT9
zpOz+#?BH?tg{_{3eXxsat-EmD=4vt9;CyeWi(oN#oZi!<%>tnVzNcv)&lxNsA_|2M
z?mG%@k3jR{pL=L}<*#*{L3I$#w@EfiMfd$hpN!at-+mTfEE%K;VtMBvy$~o0>CGkz
z;RJ_kKP<;~SC)Rh`k7`!vq;NEQ=k3u?38o@{-t{WUDwDgy)3U!A>h$(MjEN+ZS&%7
zKGRRH#hH|VTY4$S2@R7?D5kAww%gU=-P9lU&d7#Kf3wIk?3v+2D3%gjF>(}gSB$iz
zO{U<^vNF#?Ixd_3WZ4Ff0H!f}1kGxVGLaw2Di>2QyXIS8s!<dk_TlZ_iE-DSL4=th
zBB-_ZDzB1PKX)!d!_WI3wkpEFS+p`~vNxA_Z7qebG8OLf)u_=MDr#o>^YwtyB;WVL
z3x%U!eg8}D#6O_w{wM2^$4~tNb&Rbc@LV$h%)}|%cgcsfmzWy+5m2DbcSuPShQ)s+
zcr=@BK^$>6Z~<DgXFDlMV!-gv*P{O#?wz&E$=Ox6H}+~U7j?_1VYDm5*#yPY41euH
zqQtj;ar7Gt&a~|SQJELnH5b2$h=fdO<@&B2%$`}FrG;B-QM_Qf?b?+$MetVN9WWfr
zz4BN~Vq2bOFt?w`ooO`n3PnHSs&JG1rsx;)gX?E@mlLe!k+0;b2y&RpA*Qwk?GY~0
z0P0oHCo_g!Qm|Y>9zlPe5+3mjR6!n1)XKJXVpkc!^gkI88aa8?!Knh0T{!PkJh>3p
zTx8eI#zXM&%Wh>!I+pzET>LYxywK0}t;{G##%XX9yiy)*dnZgY%ow{>*EDrE#xBw3
zEj?MSWt=Z4;e@{(d`VVoo^prAo_>b6UjmA#sELs5y=Hyx+LSLv!uJ`We$N=?Hs6ZG
z#KSP6k)yi#*cA3ce{<gPVG$*mn)rxd{ng<m!EK_qrH1vO%UqdmbBm?&=d_-btD&qQ
zcGi5P;?$*OhL^t5Bq{xw<E`?t+gUt*Npc$gS-kqX(e`a>-K!(<^#{>t!NXO5B8Rqy
z(xvTvsA9v{N8>QGVFKPa*#bIFT_|9p?b)_9Q!xvpB?ag<9xF}{g+e2W;%AiBTVgd}
zEe)3lZ_(63L@KJ#w8{+0NI8|CZfl=kqe>2ocV~@8{AtL8#IM@8NKbv8G{5iOAeuk?
zU}K;LJN#8iO<(VwcBHq~d_6kH<7vUY4(W)jj3gAWphhx&o8Se+BMxYf_4g}HJV(c!
zix)syPM^tQbCBaigGkqWW%(F5)X$Fgi6BL&Pkh6gnV}pUyJ1|_S7+!@^4Mlb;-M!<
zxG@eUd;F45i<Q9Lk`ju_hpcWt+jF#fbt88-D*&1Npm}@IJ7;}?(?<r)504@y&q(Rg
zA_a*>8zhyHN<!oHgmo_zli*g-X-ri$RHySN?w!&@7S~`?AnjvBF0A(HiF^{$o#K0$
zsvFvs^70$-mf^=$`Lj5NFyg~}hZMWetwQUn!H~k29p1|-&(AF_K9hgu{&`dzi}=oj
zY&PxcmVIA4;M_hj;r0Nw;?hvHUA?xZMFU~rZPl>%4v^oD3aoh{E#XT0UT-92R;#v>
z6qaki9&4V7b*}7G`&O2G4qgLI!+FPgrjpM~h3xaoNl&b(57X<qzufj8Q`>Kf71@Tu
z+Y!558;FAyVIUR!SP}8Quh>97R=q!s?EGwa*ycf&i4owtexW-dG9;9FKSg}+Mzy{y
z8@b5<Vc%&7a33S72*HoLXFg?EjIDF^NQK{Wt&4jp)~ZLaoW06Tkg(2Nt8qs7*!el*
zn)B3obt%N|$|O{?3_)1SDIpj9nXpo?8)jJ&rl4MuyQW7Upox15Dv}5Mjoq;O5ZP?T
ztgRnOUq_%B+bDScqUHTh(S=)`C}MK_zVd6Lc`jk6$=9|v`^UhTMN?@@Pqykg?+Yl0
z%1<`bsa7sdE))+htI%1;Jo@@d`iuc|jmGh}w!r_EfCi!(%UTim%Ydh;-?rv>QC=80
ztpsp(r@=zted8}QECh50gb;=2tQg#%yzjDOi`@#3ojE74?f-!QGAsmgH>QSu0tf{z
zNyb54{OA#98#ZhV4K9kMiKU>hVI)<lAoS)X8$hV1tyu>ho#3mn%enJ68W>|loBVc4
z3B?mWEf-C@qB)m7v4Vaq=Mj>d>ESeRD4ZN>A^?Au+=@5!I&P!sa_b9^e&XKu>gT-!
zWah?Cc`1L&3PNWZ`)8<ca_B(-;C}J)O-jDgVR(-^OqR|PBz`7-9!v)-!|cR*G8c5q
z?*X*x^@_W+-3oFAv6(I}p`X7E3dwU3b^84ka$(L3%}FK>9r&n%4{vnLoNrLR9twcY
zZaK!(7mA1%i7CB)5;q)vqvKFQ_^q6VkM8&C&Vjrs7eD*@od$gMO4r5ZEnXD!%xvsw
zTq;qb*ntEZBx+zf{O{+P&rVG}!M|%{6j5Pep`9)<_ikj4kmbkDJ}MirOzJ$IHwb^c
z>c;Z!WdQ$3-RpG+#{Dj6K8H_+u?77sqt&6NNc>U1@_9a59bGh^{hb;~#Oify@%#7h
zkv2A~<8$6@*J`S<&b2N=NxR~tJH~aDQCtfr4`k}wWJbbb7DmM5=wU&JnuCX}0tR1g
zp^$qwZ%lR8k5L?IaRu<~8V)3MEp*xN%Sr5`kD}HcMs!g70K?`{vS#GAoL$RauU)}L
zyaT;R<MqS7E4G0T=gyRqZJ5t~ucv&9wP{HIvOZEg`eWV&HJ6xran4z8G)Jyrl$f}m
z*#S}0b30JVa&R{<AjyOXFl9@~Lo49z?qNgnw@vM5X@MXk@{Zi;Pf?QwHL+OX?FYI+
zS;xa#v4GkbqA*|RdBO}AF@N50b#Mj8VzQ7apMG8bvGY$A#U4%aCnrM|V%YccqS%J)
z3=NsdR==we+0kb^#fI$G%n9MrKq%_=AmsI^iI7M3jqO2V9AW{NlR2*yG{Sa`jSih`
zP*WN?&D{C(#?5CMry{WqqwV!<>s=V(*Rpi(VzNv*+0dMI5X;AB>l=t>x*ZY=c0Z7%
z&*N0+zKPK$#z=qa@;B}1l)W8#;u#bU*_uk;=9?VuX)GviBk1y_@Qd-$bT<FcH@c2D
zO`S2hI)=%777>AV^6WHx2A`L_pT|AMj)oP=@_rdxW3s847&C4uQJ~n@Cwpz;p>6ST
z>d(Q#|Le~Nkcfj4O!wInT@jzA5iyQv7H6`VYW9%X8;%WJYlq49juXD7KR7A*w*^$>
z6U$%pJoUU)uH>9$&2{0xR`5?EjbTEs6KCLnZ(!w>R6$u@Puo#&(;aB7o!)Vx5;(-y
z4quT=JXDKS_2U2NEu^gnNDxKfl^X5SA|NJCZU88!esL&d7)}~Qm$L_xC<(6Rz4TL4
zYY|9evqt+st7*sE7Xy_o-Le*~Bk{spP_3iw#CdonO(Ux?{yl-C2&UWp+S45UV$d#u
zWNaopeScrvP5qm@a<vv-;WWLD6=(fDg(kF4*xfyUiU7C=($RG)B98A)Q?IwNd`>#A
z!b!K!<-c=sjd&igc-lf<*Jy<a-F`&~T9EQB?Ef5^ihjecc!T|^mhWNjUw-`k@79Hu
zI_G8Wu-1)$lTj&nUeH}BcF&}5QFP3L{5dS*P)CZ!I^G=e*O7z&I^GVU#%{JH1TU~3
zlLrdmP!o8sN9KviAjvPA<=rMr|F$tuo}QptkuraO=HkqYvQj0p(v@N=vA@<~pBO>x
zP4h~-`F&ZATK`=)jyHf0_1B-+gERWW%CN~X0z|pfw8MAij^olQXJcmS49Zva^0sco
z^L-1d`?xNzbF952oGl;uedz14`RC*aFMNN+PY3-we3U%<7otu@Cv{8H2A091m)^GD
zT8z%0i{%^kLAPo}1NJdWWch|)jNH!oxg%p1p~27Yt@fJl3%bTz&C8?{qHj&%WwdBu
zE}GcNIH&BjB;blHL7A5*R#o<YKH!$y_%uqQAV{^!%l8xQzOMGq5TaCKGD~Zcly6-b
z>$xW5-mW8NE`*q;RG(z_3+78tk_f2o5fzI>{B`VVS##BTj&BtkZ)cXcMdtq7%8C2y
z>p0>XD+U(OKV4YCfy3}};b77gn9j~)oOyT8hvRL8J6-C=!<w-lS7M^)7Daxv(`}*u
zGQa#yaL3u#Cf-|uSap5uPq*(iKdrZz9CuwyZPt3zGvAp9fAkg%>_q%-P?!LI(nsWX
zb<b~joi*0z=ljj6lJ<y#f<NKi_aGX&9lAO8lHBjzVt9K3dnU|k@zsVV+J0yyE_Dxe
zn{4$0ImTk;@Atqz8^Zr>xqg6h3w@<@K=+UM+jrXr&h<!H+Fj>S-3K<71P}5aK^vDe
zJD)m|N!NhjdRs>3u7W|a;E~E-^EExPJ0xs*G$lB@8NLAikNAHFA^%URN&jlw<bpT_
zlIk`fw^$TGz@(q(T_Feb!7ex+`9+=w-XS*%z%_<{vyqM`lN7rRNew{qlASsDw1aPE
zM=P9-EgJ8@lkt(`pDBM3u)qE<5J0>Kq!UXgJ!^Q4L^SXL5|I=37wDw#7f8hX10?2H
zEDhCEuZ`!rt_`^p00JT<Dh`RE{$d2cck-wq75M=T-8s5Uu)_f;))3!nyOW_nczkmV
ziR_3iH52~hRu`!%cbCpBe|2{EVkrP3;U$Kc6}Q*kr*Bleu5;rbIh*ta-ANCCp&c{=
zo|J2b4oSdWc@z2zbPV`}jxXh)9{I7^ov^_H>th6Z4&2l58TkRg3iJXU!buUyk46U*
zTR+0<)t8P~VZw8d0oiZ2XYN0<i1GZx=%oLJdSpq2bU+Y2gaBcK21vy36ZeQg0&;xB
z{$sR{{W^FtZ37tl`Y>QA{7rIvYq{VT2*P>9bch9SSIB8E&ZFaKl>8*FYd?AW*WPyE
z92rpZOheBGBN&P(FNSZ_(uw+)IFFVTF*y{e3_6e6n{OhAjAacoS_AOh!-em5?(H&p
z(jYXdyB&a-42U!Vu1kQ`2>5b`1JcT-lfQDM4-&&S<Kn$XgO-E#J9>8Yk`c5X1gU@U
z%yfMzII?8+)|z|i=HWf0P^ioVH}AyA>W<4DR5kv79QCPjTPj<i*JkyC4VUdv`t1p*
z=BdF-M!(r?gskBmfCt@x_iSfPbP=-*Erlgn{L!eY#b-N4DZ0KRz7M|d(<u^6G$b1|
zkljF*WdnEM4?tRViZdjsyM+A$&4e9A9$x^`H~}-lg#wJ`I|{^BFRMVQ)gIqjiUZ}b
z_ds&wkNamJB7vi`yNuXgz@L#$aqQLb>=cP!6vH5ZCG&`GeF?FneMC~GmLkwB`g+9x
ziz`a_cpmXXzccp_3$~VRbI}y&fQr@c?PIJlUr*=K(BcW@@JVfWSY>{+KlyoxO$vps
z!KUTYC#j%eHx$a}w%Z+WtdzP0ccC!0h(e<n8jGvvl1vF|_mWvq9|De$Qr99q?tCdk
z4%Z4RE(h3ZCn(%)?y0L@>fCyvsG98(Q81f4xTD;MVz@j0eNc-}f%bA)E$EA1N|ffX
zz=5BuT+EQv+iP*6m&l3(GwST-1x%JdVv(w443ahFwkiYaMJu#IJMaCXttHk;S4!VC
zH{;{g?OkkyzMJqvs;Fi32U<Fd0B~`~ZGZ#h`%0UQ9u~$Gf&bj2`(D3RxhSn>c4^ez
z7T|l?TW<Ot5tt7}>|Ov4pJEyy-C;_tUPbQ_8L(<c$$_n|AyIQ}Y!5uPM*<Tyeu2&a
zG*3(Z?SHo|iv_w)*CE0`HX7k)fiuW3$@?$w^IycA{7=_qLABBxaRaO>r@j>cT<HYx
z^#7>-3XJXtNvYx0Ki{J0*S|oX`Rj4qbVQi1*mzz><nxf<LwZgqbjW>BCoK@gmUHEU
zI*+C4AbI3SMvnG!RLqvUiN0K-%2277ciAxbPA!|FH%|G{@V-?pEcsDwg8tPvDV?UY
zn5;JH!D!2r)~IIb+^`0gHFs5;dy%6$QbFAh?Sjt2Zs1u901$+z5wD(izD%vLjOoq}
zD*m9H5R}Hmcf*9G#7)P(yW>SlxrbS8!;X^{>xjQ8dvqNX!!Ri5{JbQ{PSmVUQBOpB
zch90#k#1ZmI=@;?r#4~BIZ5_Opk$hmcz%Cw2a|nv(PXXj*0}d3Ad`EfJ@|b>8}`o9
z!51qD@Y7ZJ2jmy%%1$JD*VG?O+6VtMv}ITbj9w`MTp9rpz+3J>JfPcS*b4Xs;y_#`
zfsd~sbD_(^6DK4Ec}609pTnZqm~_C7SbVtve??Nxees8D;j6C{F-QQt5eero<S*Io
zQTzt{c<67{;2EL)1OoVp+WJy;_4KBx4=!I~{RUgE+tDT<Fk61g(t+qN=3QTJ;8m?8
zBHWj)Q*&=@%+&ivE)*$wvM$KnDI7F}c)L%1Us$#Jl4%krrn#=2d^<V8%iF{$)0{2$
zjX4ae-7kN|$av}@-+i<(XXSm{P|+iO;(5QsFRg{(ZJH$@_4{SfX0+$N`Zk-*CoR!P
z{aXpkpUX+7<wvFs>A<+HFn?LGI-}r4D)=vu89Tr<F5&g}TL|jGU9t=>Ss}s+pGaiH
zjkV6BIK1pHP#nOC5C0BN4Y+S+oP09W0Er(BBAt5_$%7Qwrr`hCaFYnf?!2lf?;D}q
zf<vCqo+f80tUM_gL){df2Mo&a7h2S?6LY8Yb7<h^4%e4$%yz&YiHRN~pU%GiLi04E
zZm^x5wLI=TVdV)n$i5~CRXo#*4|d9FV*e5L5+c&UNttl0Zx4R~r$$7+Bb=o)S6VR&
z>I0z7*BOJRz24Eyma(u<NK(b=WmIcXz<{KiIPcJ&YR4UyXOyAPSJ#UNJ0u{D?6ie-
zfuqPA1$Vr<{pDxddXy|#o@0I^6!pAr*}_pSVss{-mda+W%Q6aliZ(3#umuY<uW@!3
zIQppENe8CD{B(^ab5n=AH$H~GWDU^6OH`Nq=7j-W*Evi5(mm4T|A_y1so|f=S^MOF
zI6vyK{OuFmKrRh}r%cJYcfHkyjB^ynEa%L=4PQ6Z^SM!(_(EzNq0n!}O%&?A2ppg4
zfE`mD-n5C0J3WWSHJh9;Av%B7XUU{a(>49ASox2&{eUXX6AIPS|Fjk5l6+#J++P}L
zL;_3!<W-&PR$+NM_Hc|BOqmn}Az(7chDZi%1FSvUkr?pbN=XcMZ{VwdF+P?_E=Fs~
zYKvoPd$su5ABz7_`Co5h<L?fN%)brHLVW>DyGG(A)MHM%C0%9No~xPOXgp_V!1j6J
z&SFufNWs1GcLCb?RzT=v3%K&1g-*ERg-Znl`ww#<RWO$Cz^(T%j|gO%4r3;g@5+Id
zeu3U9CZD=$E%Gh-EPuj%YVw*0DA&rv3`iI>v3=2xBbcXM1@5$D(mm*ahXVv-N0CqI
z?CoI)g!faHHG%hmK$~_dc5JOIC$Ni!0VaFA1UNCQJj}f|qe|;<Uw#1?amF$1$Cuy>
zp>fu_M@D`s-ZC}(Z~j>PhuZ(^jbs<Ye=z+5k*dIejW_-ey((}3)MZ}JoM{ENEXs~+
zx0YyhF6QJ7p_>|q!rZ&Swg_6_s2G)fn!+7YB%%It?h;q6$UCvdHvU;OMw*ZZUVcyl
z)=>BbDzXSTVZ968p?&K{Jph(I_NuGvFr^btUi7v^zrOYZh<%bHWJwd{%l}$iBYB>t
zWj~^W;0FR-i_fD5s~xOA620qd_`#d~E~(`eA#!q_JhDRNHI8*Bym+q4duc&s)<GHZ
z;Jn3YS<$lrNB=YPQL?5R6Y%h@^vcu=w_%GvV0+UlpoNLzbu<Oh1zXV0v=ZLHoSjsZ
z4J~Dk0&o?xYF3l-cb`W-d@D9}b)>Ea47?pi09s3MZ()-Sl7lu*c;$?Gk(ev1Xw6Ji
zzMqfJzIlmGbMx|L+gIFhGA)~vmm4Pa?NJ9~mX+8k-_L+qfNqS-u{oxCyv=n~Zlmfn
z?LfufU8+@!Wt@Z5IlTQ?GVW$ebO|R}{E(Y3)0Ut-;|3@G^N_5Qz+D8*6wFud9_^7k
zPvVE5s<mLVu*MDn4`d|#hCi>9Tzz4w7F}!QXBOevm}XJr(B=6Ylhy>mk4wJFQ3s!9
z&)6SZ8%>)Kgl4s$4<pm>+0!Am<M06*0sITh9sa!7NWZvqrX0IPLz4oRYA>pEotb)_
z@PuH4oj2#iWTml;ZeiSIx|Z9*+!C$Z<tu)^V5jnjX2Pt^v2`YqljE&7la+_)&8k2v
zU7q_}5bn_C`MX2)i<6%P1550k7SZO1@_`{tL%i#s++ynH2POv(L<5-!X->K=zK>Jj
zEsUPDD^B>t!pEFm3kV)d%V0gC`@$W9@`+AEx;#RVfRm3*^7X9GXU?s8bT{U7YJoY9
zt{4a(sRMW)Xkl(ECjI3_7wx5Z-G$Qa?yNaez%PO>lg*059L%L!(Us)k#nx%FdT~m9
z>7kN_w3PP7uPsHsyNuMEmFPv^&PhdPdXH*$SE4!5XLB;S#7W*;<1_8Lz+Sd%4@Ncx
zJUtZ#R7WN-#)+`%Nl-69WS^o5qs7`59czg9h-+v^Nc8VmZm5Q-Dz+^uZ$pw{hh>jo
zaFn$8ee=Rn%tBA&raL49eIZb=1E;Ln5cjlSNLCJMAA0eCN*WV<<N3SmA0KccJ2y;y
zxtq`wFuxYxG_-a4cx#b^&c|(Jv{iO|+=+6wEBF#1LlL2X$1?}<3zReI0Kzl<TQJuB
zUqFoiNHd^_he3>oP^a<Ef?IJ(qTb!oj}V0YDARRskg`Iz56u=p9e3Mdfz&K5OiC4m
zj^6qO(nCCaK=Z$#w*FR^&&Hy%9wP0fOagj#Zeb|o2ZJMbfy6F0Xfni+7lK4GL~5H3
zA`RYE+!wczewtsH*n1NQQ8vYbi6>gWKyaQvKJbsO76n#^le`Z<o|?q%X8r(Ul8At!
zArIIfXFLDy;oz9(c$xEPc81*`lbE+l^ZN$@>~1+=w%Gl|y;(i?n)#}e{7d*!wjY%!
z<Ung*Jiz@bac767K%1oJUvP3Su$S!`j-hGHML44>Y2idyFT5m~phNP|{sr>SLu&r9
zTRf+URRpDiwZe74*x*`)grr-GP%27-3kKjeY!88)b*MS`5gr&T@ZJCTY>4bv9u;Bl
zA>ji48$*fv<GAVrBjx`xJ7L3lzd(Gl!6ZhP@4rBMTi{b-0X=(}R<K9cn9$Z-DtAb8
zrcdg{H4CI74P&^kd&#Lq-0l|u<{Q0Au^{V*%>?oi%9W=ysdJ!o@~(cnpyB1A-{h7n
z^g>3|=0>-P+UnoW=bt;V_Sc!WI&c7Y#{HLXGjroZ+zK4_zcK@vf0zv<BqOf)894P6
z^MAaL_h!%d^Y)Qg)IE-+RoN&0ulBw(uBmK&7ev8Avj8GsR79GBB8VUm6cGWb3XxDE
zB0{7oMLI!g(p3Z$lt`BvDFLZLs;Kl{L+FH-NZUe^xl3o}o^$4ud+(X~f4d(7**kgP
zz4!WMt+zezvzYd=*$0Fzyh|y|RJai@J2Fsdbx=~>1jGsY`ai=e0r^_kt~M$smte^=
zZtCUJFL~*j?D`Shs$&ef0RvU`UsK%TtNJWT>8tr_HL#sNqLkVRV{Dz*Wu)t7?)3CG
zBatNZuIA&|Df8H0dnORkKERKAK19VaY7;PwM2DPyyQXU3&@?+hAgN}l0|$+qCEd&m
zvcHj#d$RrORmDPM3xR1q^Z~3_t-z3GY9rS^5qd=1^;u?r?4N==2bEHfZPh)$33v&p
zAAKjxZ$7hjP@oTARax!aJVL+MR0|Jv_86^Q(dj*^18*2q!rtvErg&(wY3SYTch3AE
z%RKx0E&K@a{%2k&(WV?9btrjD*XJrF>J@d{N-aPa=AFzadEDD8F4OrvvCu@5!K@0q
zX@HU@TS!1b6yfpGN5zru4OmK|?P0M>2j!raa`gueCmOBY`k92MrmNf=F~w~D)i81$
zaFNuUY`hz1-<xG%s{9`^z%#jae)M{ch^09~?-&A*NVZ2#ZC~65-@eP?RxWR-OAmMF
zEl2iDmu_O~TXugT^@Xf)@ryK;<+92ryfDsAE|g(1dpKv-pD@p%Hz+&$MNi&p_gd^u
z7rZY)h%2+QVeLSl+nrlGn-Ai!KAvt=77}Yz_3?75nHN1`|1mvlx$<PUyG`3U@k_n&
z+m?FyySWRG+~+cQmJoI@7U`TZJ|SXb<B&8Y-=ARAqj~;(aZj<IU;KH(BMa_spB-ao
z)9*D4A~1u9jiXlgC+?Iwe-06*$0Jvz&-khvr&Mr0Z+lst68-bQ|0JlQiv8$xjPXHJ
z*E30gB7U}9sr}~YeEcaULK*+n1LDW&UbhRR9T`V_<UlJ7&h6Pa{n#|=)Y7r2e#zQ{
z6JCo#J3R4c+A|f@V(|jzIVPwXOqt->hQ|F5rW}W=`)GQuK)?P$d9{SvBI>zBOio+6
znseT}i-*3Pgw=<6?bqw9)XBW(6}uLh{#noM&PPXKi-MRgx#8@K3$!Tw`Ra@*9xm*n
z26hq2tD~+qvt^8VB3w=Akak%8l5B}Ne(k+k?69!U{r=@J04%B0TSrlGVU-#wQ1n%5
zTrz83zO7<foV4%u+h=5=jKZQqSgQ*E89e<*F!g^rrY;A9tcjo8FHHT{fjR7Qz<YCe
zEZ4dlL140;WTWZGGBO#-Kc?o5>q^~>O@^yy7JZF2%e?yQp<4~j32M&t;h-EJJ=x<R
z<y2gOPSsAmTQPXBf9#XS+X*<5=_5UdFd1ov>9<h_S4hwEnnaOfW+kUlVMHONz0}gN
z?FsRLa$7pc6TPy=w&PDd0i0>SHmb5p-B*rpGi`G>ldlVkyV5<Ac7f8;n&<bu|D4*k
zZ-5Z<hQV;mBh!uer*rFt!^5B7f7}=EDL5u3q$xK(%2}8=fr;d6R7@w(49jmcZEYL9
z*iaY6(E;1!DwSm>P`qo(-{hEk5E?#3kJC}p&lJPOFpqbv*32&_<Wb#g6*Hb?n|f^3
z8k5!*l`o-?qA;go!NR>GAtH9Y=$+fSJz4$FfPM4m@=bmMg}tkZK_3dsRmpYPNo0-N
zoEHzLl;qUOU9h2JD_z}8#Y#L_>iKry5B4pg`yw!X%maeoh>LeNa1Wv`C&)cN#~Jm5
zUGB*0vEMd?G^p;AU6i>fG_qDz^z3QjrvuNR9w$h<SZ{NW35K`^+(xFpltMU3sslcI
z3P3wBeKcFp6I5{-gpc@mI!Mh^-*R|KwpEMKEW1<=dvGDBJOv@h7`?z&`@9*HjJnW+
zwhX&Sh-2%n&l#{~(>M_Jwg~3X_lId$S_+a!6ZKHF{>rUk6MiC4_I%x@@0<KL(Tk@p
zfhHZtOEX#7Y^2Ds!j+IvIr!o=rxl-xB232U%NFO)MKkvU9eZc4+2$K5eD3RCJtWzx
zbe5`qgp#+`Tk*_2eK=7&F4E=0OmI{6y*8SZ1E)fY=0rtF)U9i0wRi22E=*dJ<Wo-@
z&T~%UEp!kYZSqxjt`>qqGoWxIUj^Y0_{tkAycb@6=0h3Gn;W@aO1lR<hSa3{vGQn1
zV8D>ve`dYrp{fK?wv4I7#bj!%EAAkfvCqyIt|K*gJ^TB>N<qbu)h585j}QX>aF7a&
z(pC@K3$-@xx^C7t9xO0-$oP(R_`|Q_W4<e${wgR4P5Q3Hv8At;>|@-E2R!_ZeAwE-
z-Yl^*dm|Jjm=0V$kmNNX=X9Mi6K1b+6xuR@yx}30rkTU7R|-<>?gzaQ6#twX0$pvx
z`wCH|$B4nzlFcbC`9ohFi@l4h3d`}YlH>UKI^tg+4s?}kg}T<QD5%J_nO;Xe!!D<3
z{dgI)`!^&#O9OprFM;}&E3xwW_<$0cB3&Dwa5tPUn8xgoBT`+JHuR=b_+$;U0LI-9
zzI%-rHFzhXDT=|51k!U3M=d$J&r2U1YCOAWF4~9*+^ew#CnxbxES~LCE=J3xM_{C1
z&XTCu>rr@j(sZ1PIOI}mAxaeucB0AW&!L|zI8N5p*W7x}w*AmpljZ1%=)!0>NOqtp
zEM>lP(!6i%^UT=g&5@P@s$SR{e6PvS=OU5U3%uuUIm<IC0F)~)8A&IGE1{iiaOUWe
zLFL!`htycNEsO1H6O6vM-gc^r!)4>}wk|2BweY53J-AWm(J~dwI*AB&&S7Jo(`O9u
zLQ-q)?q0HZ;=_o{Kuu&^!hB9e$B_AkQgvUwVp~Xhr<5CPpP43aP8xo=(VG3KW{`q<
z)0VkJbg++3e#=DU1wC`Un-21Z#j!z+sl|?#9TR5O8ogDz%cRkOd{dLA<5$KdFIZXg
zHf!#F$rKRK?Z6XnN6}EjSA;FJWVN{;&|!CJ@f9vVdT?-;((cK){Rh&@EJ8CYz7dF7
zt(2bbc*zdaoNr~#G#P3>e!Pv}Y<8nOslQnH(^BAF+NA$XKXcTDzM>`xtz8-jrU?m`
z78hRN-OHM?b!Fi3&-quOB(Wrg-9<TWoS1MdvJn!d3}S*u1-o<8SC}ih^QDayPN2is
z>>rhtZ8X{UWd@`hN6H_{UnZ;#IVra;$SJ-c-HTe@WDxdcHhhWRHIGaRB}wy`oXvRG
z+FKg9c+>h~qd<`$)xv3li;axk=HP%QutU|~razfA3C!_zdDh<g%F3*?f%Bqb9=S#f
z&E2g-7HEH99uA~*ly1b92P{d(P&O7;NYb3-`^0qo$ZES_z4TI&Tg1A=!KWOaA1Zn7
z^_ZpdxEJSlr*53`19`IWy+K*VsV@u(n&uhRi(lb8EJ9TjJ;F2#*kjP|RT|H)wrEm<
z*9Aa72zT1!i^uk)0YY|}9d6a9A^2OU&oDs0DtLT!Q>0(&WTvfo{8m~P|KXm)v6Sd*
zl>ApY7fJOo*UGvNu)fq9U{^e?Fpm&CcZ}!Q!fPvWZC~@Q&fb-!8@9#~U4`g#8$F{l
zXUDgyTy9X;OEZvmrAYJij5w)OQ+t+atE}U$>$$!x_2uht_yXm8wd?m^OBhKjG*>?s
zz<ylggAC3dkz)#Rwm409i>{m?d?@C1`Fsbi$UHZ{tPigf;x*+s(Xu$OxcVVMz!kl#
zws7&tCUxHEq=>t`fwn2peFXk_*14|7*+q})+c)R($rZzA=j>5YS1?50Y-oLzUDUXN
zNH!Fgc^e#hCYD9XxUJ5K-_B2%+Rzk&b2Gf%Ayn5I=t$U3#cpV@3C-t}KzrYsw%CYc
zuP2xuE$Nx6eipGO!r@vH>jk4ojT%KnpsTm9wr=N=<Fc%6+VfFK^wk7sXRR38Wh}Bb
zYCj*ps5siY$|6Tcg^uCOZB2sh<rfuA->NF^0yZc_DQB$PtHQ5?z@0{!&-OTJ#{917
zzRaR;X$<Ub<5`q;Ul8MSIqb>NPNnPP(tBs0Ll0N#4;7bYW$F&Zi9vfRh+!LAo5BPC
z)cf_H+?79m_8of(I!n?E#llq1jCwq7^v((QRnrST7xv9o6}2$$5+TgwDH?;i_D=!G
zJ7yxK8RUB4vs|8_E7BClP|%>sVCwWXSw=Bqz4IXJ3<7A?pV2jz(#7!Kz(R7MFgFo9
z4J&qEFirI!knScYdkAQ6so>w0n<gfXXiZH#KIXh!T(&)ebLTP&VW0|olYpV^pQt4i
zF4vm45f>$^Y#KPSXPZUpt{U>RX4*aFzK=OX=MJYE`tI<A{bR&)542piJy8sPD%-Xb
zGQT`}y6;i&z~?3Hg9RYBsLbumOum1ios}zkDFYgq;ID?=lnp0^pM*b=CfV=05N>1%
zFz>vI?0rT3H;3lp^pVK=r>3fp&!<FK8mQJVc_9?QF41ctb<#TrW*>4KXXq1^yBEt%
zU+GB;mm1bjPM2r@tZXFb&pxye>A=b6UD;7qP!XD(Aj;34=3=2kAt0+Et8vioskl;E
za;9M#ayNQaw4Qk1v-GxCGfdA-a@KB8G6Kq@kcs1npoE&Q>&T$Wa5qceUG;HYIEflY
zp!@cAHXC)%nOd$VT^^rnH?(?>Zt;b=n(W9=wZ9_&+NVe~`#k^VBqF(;O=NsI$by$T
zvVicKj^Ux#YfhzBoIdJ%UM>i%h!d1$Mo<oBYw;JR#wv+0rWF)q0}H{do&pp|L??zU
zrtUoL0;sv)BQmxyRGe0dzY^d0%t9$B(UF#lGN9|13kv(B#!i2HaDT~IW|()rAMuj$
z6+^iOe&V2pyljuB8%$B9!xsCsN@MmFG#r@`OR4?@w9Jpw1F8Ap`D**Gm7BN6-MAQ2
zRF)@%8gG4+hF*`)yMF@zVdCqP;Qj~gQTPGHlVL_LWRi9YAL-o%VMrxqXW#IC{i-`Y
zsy{z(b~fGk?2B3avMENmkO!@GCi2GWf=63_(gtbf$yyofv7R-NIFaS4V5UQh)kjP(
zYdo3|OXnq@W`+0Xe{QSUl#AdqrVeD`KRngyUH)nra=(g=ghU|KW9LfF4mL>-yp+Ar
zcVXwOx{KNl5jNg6v>)g4vZ76Rc*1k!39w`M^Q|a8gg$}4*o+<XwwX5Hk)4*H^SV6H
zz0E<u;!65HXM#)?nK{R8)-YqPOulD$EXzPgT`CMfWsIjm3H{gBiT~=q3_7(mG%dFG
zeBbl0_jjn-yc;AlN8;-d%zo6!I;(G)HXrg$z@AR*KcUj#$3(TML$OxMly8JB3+Qzs
zT}$ke`Q0M1{-#2F-F-G@(GA#;L!b*O#A_L_SQ^`%((M_$MXbF#7Jcmy6UAx3YCW97
zn<wm{SXaN7oOGmHPUq4$0dM^~^{k`;^Jw+$hb75gkUL`+VT+dxEAoN}CRFpcdfdY(
zP3yapIhd5A-|raiYGiy^=h@)-Lu%m0lAO1IChZmONSK9+##5H>*EOqxy!pV5tNp3<
z?Z<leFGIAATGaPb1W-p=5YGfnEhU5g%E7-ACh^b<mX>6R0~_Yur|hNVH0`Bjhn5SG
z$)46Xaf_3;-fnZjbKL_-o&b~p17@rJ&LgowMcf<5H-GK;2lxOY$bOu$2gDODwK&Z6
z-s)`dQx9hxY9iUt*$YAEcQ%lW=m1Nn6{Uy~Y=WT}fd#bDuH6kK2)V0O*qLjXzAq><
zh~a6d6=q&Nkz53Yl6<dBU+_k8&&BWmbpKg{Ys6PyCe{MCtjy1oII_*+tv6+{blv^`
z=WFzwbi1IVBeW=WyX^Aqh>r8Oauoxj*6!kU<Xn+xax_Rh2Nyslzc8ttBtR0CV6g_1
z|0eAunEY`l8jl5rny@w~9`PMMPH56&!Z@Il&Qs!_Odmep+1k7)+_}uuou@Y%L~!YL
zyWSst$*yyCd2pT-v=~&mVi$kT@YAEgQ3r`-pF2@E#!ucs6awP_!r6Zug?o&EEiJ$h
zbq;5jK37hQ=j+p(s@vO@ALHWXXzLFP#p(W`&-st`?7uu#z=TdlhYV8Lwj)dBNT@<a
zo*P$)oI}x>6H}g6G3|ZjKKda2=8XeLk{m=E;Hs0Rg(u+XKGBnQqaTk`@X{lPjYaSl
zybEm)86#lek_hRrp;GKh-)iorgzxJMY)Tagznw_kdbq;yV#H$A54Q>hB$>BxEe^GP
zpWif~SAgGvGDfQ{CEAAbW1G};$ok?8ZH+GWyGEN1jiQiSGx08Jzp8kFaU8|8p*o9Z
zQwQqayL>52{#^yU)CoR=n=@H8SRnN)ObxgHuHt{+l-T<H1;KAiw!f*Uc8AK|4V(Em
zw99|)zZ=NS$vpWG=kZU-!4Fr}bp~8*<UHkh+<RcR0kZO2Q{}&p8O@d>s*id&kru;7
zplB0(=Pj2&d9GlW*=z;4|69(mu!%}8YQRVAKICNz@rnJKrWL=fLD(m@{6^-2<*)@?
zrj%DFv$pFUkJu->;}s|hE5?|edq!=msXkJiFt1IOi(IRezg??o3Bu->M~5Hu$;mtq
zt9<h`(Ewq;ESCGmseTX>B3p((rAwBSJcw{<leARL9Z?(C3n|XqJ!DeZbELG(@xf%<
z300rfnnt}T1Bqgio4AOB`>a~lPMVJJyOa;h+i56@Q@!~mMqORf(V`w)?oK{q${FG=
z_~>>P^GMr-d$YyM*<gWs`4d|8_hfCLZC9EWM~uX*9{{zF)gcFqItyh=Jixp)61H}u
zK^?-O1nj~7cQqcs+msBD9(4(AA!~WM8&~jU1l}n1`p|fiu0p=rx(DP<DuGN$RX1l#
zLJYUg$1Iwv_>Pw045-}>(gAL1>Qam7BfC?NzsV@m8`vDQ(+jW=3ie3iH}2yQ3^RJP
z!CGn3o<XI?AA?Z3r5f=P`X0sK5w)A1sS%(9PLjwD?XQpb@{3g|@Ni2E4D01gizn+@
zE+Z$#K@6!duDq|UL6Ij2AD1KcNTi@*#X?k>MVw_7r_>fIiwQpT1^vuoNZ77Rprj<?
zd+jz_A!lZ^R&!r&@dW}mbZG;yW|sN9C+`)g(ptN7)b~A+WO1m$C{-6gqzaMfywP%#
z(wXdnDc{@a=dYZ0Fp+NSD4oGa-|6;~^oTa4>gJ?F@~QzwC7l9aDl5uAe0$OCuO-TM
zoMp7wZx8KyC6sKPuj8GLxzmzC#6R<|p8lL2gRM^>RZ5P-A;aoZ)Q8x-xs6U!a(v6X
z{t;8t;vBL2D%YX{4=dyl3P;nW@N7}|U3rI_^X0x{KRvaKnbhT~K4TFK+i!R?;X$m%
z!zqtBYlm_awa=w6((`krusC@bcer;blcuor!a&{k%u>+*5c=(}Mzb9-a?t(m+M+VP
z_)&Z}-x2qkv_Y+fcMYvtXGY>|apE0o(J&7XJbLR^cG)jv>=-NXC@s*}m6yN$z})?@
zk8SmF%FsQ&cP0B(7kNIH)uxJnR8Y=&9w)(rG`>eB(+!qxf4c`=)zUSHmz;VYUJ-%S
zNLlEON08kP7+(P?!u|F8m5_JyY%mhOlclfBqVpv!%2UN!ETm?s*&SJz%wlhkZ^_v}
zU@&jo`LU+(thhJ9xzUV+P-!xe?5>GM3)GdHC~~U%3Zs;L%u2%MC$2ma>^NQ!7a~F4
zNtVQM_@PaUPUjV_X#m!SIxQcNlT9vcVr;@m8Z_C=I@G3sJ$$)*2}9!TAk6aE{KDkN
z_k;c=&=ep`-WtWzAruAoLU|<^Siu(%sOYLWgwQv%fr%0Y@k{U`9F#(x08v;z0GF!f
zNN-UHK<}|~Y5F#M0!0W@>wi8PLc@cxtMYTijrHH&pGOlmpr2wHpxmOGC{1HSQPRLg
z^?>brs~*o_$%ORTc)&$OC~b@oKtchU^WmhlYJPwxnn(v8IMp0SJLV-y-*ys15rTtW
z{mUSYx&0<^Bor}0Ob<|$P82&pZM$?5mLc%{;AfCExb>u%Uzi^4F~`!5DZ>6vR2II;
z(*L_CmeL7lCxF@ph9UyomER=u0i@)SHYimA27sf<;4Tg~0WZFbCJrZYwG(E!tiYCa
zbBqJbO_;i?KbVw~hcp206kHjU;?q<P0)gdJ%oq|A`4CPCnMJL#z6T$>{(LIVcFZh?
zC6I6aRbGR32FMfD!58X*JeA;o8cl$y$bc=MT8j(F>zh((2~y$g1f|pU1;-<g1vHv{
zQdr$q9Ser<0;t-)l?!38h(d@*@L(V9Ed|;QD*Q>MGAReU-$S5*OQ>ft>Um;*u4BhT
zzMD-_xye@!>^s-K&9B#wql?BvYB@VD9g>&a>7$-Z=3QJ5x8D0I*>jtcLxkh@L+;Tk
zaF1ZjlXCaRs~o1Pl&Z-=d-q?M?E8k9@0-FZLN)o7)^TD`;si*g@H*wLMsq`O<Bn>O
zUb6f6z$I@4-Dx_Kdv7SviCN(B(w_LnGrd)?iHD(1m~ri!Gz4YT>B-@3&zo7X57N+$
z(@U-TZ2JDyJC_Ij6>)oMSNm2`{tSt7C_pGGG>4wxZEE5$b6sd&hCBG^>#0zZSKn(g
zL!iq~h|x;mN>lVf!fDs+mvB3yt$2s|Uu{hnR*F&%ll2~9xUKqD!?%PuMPsg0dK0rh
zSxnb720eT4srIb1qK(_+9$}x#Hk#tY;zW}-OSzNfd#|9xb`F1Kvv<Rtl`)LlmlC{w
z{y}r4Y`6RSHqQB8VzGR^Mq!VIsq!Ap8y|{0Z44v5E@;)Pq3%^s=XH8BpwKY^?Opb%
z1$I>>6dlef1Pc`Mz#QHv9TNX-V6IvMbiC<>uAV-8FvZL_<%o*yRUzjKMzH;0#5{-=
zkX7D^katK=_baBK?v`5Hq2k|s7i8bS?Mvs+b`$HVNPOV)Wl_p{!+Fu^)s*h*7ou7q
z5guMn&L>C_&&Kt_E<(y%*JcN+Gfw&_+vLo)@bsqKxacHT3pm$5Fwu3q+Gw&);9wK>
zBaRIaBS6_J#83;tA}Df8%LAd>cdE~zLzb?vwxj6jUHExH$<xabh!QRq$d#RAk8Ts)
zD-%NWrdwOh#w7^iXtFkcQ*|B#Wy49SDtwp@Rmu#59i+C$a{$~p5LQQ6-PT2*@cfvt
z7c0SKRZoFG%-3n+5mN+G3Ij-71nf{8M}fpUF!#bC00L3pQ-^}&0>HM}`I!uECr&Vz
z_5d714d^Y~tp{E7Q2=U$<bSFWV~PJMWeTLY>fpah{h0pY(66Up(7B(AuncY#C#IbZ
zz`1|wfs?jVh;$}bB5k`K<t?Wb<B%lDiGDzD4_FmOxfoK>kS#6<yK3Mg4Tj1C4!E}f
z-izgji0n_1A8Qv^9cGoO3q#opuk}~JLAKZ*0+pwLKse^7hF?!ef)k10L^%plt(3(~
zGiPANj$wjCX-8DR>XwWF34$6>aoNrE9R}|CaUvuN#;-9C@i9pvu2qNYE24|0mTG=#
zm}5VuQcK`i)Y#ps=ye~eRN@5c2}sWPsHK=^q^6J+gR!U57evo|B@FbA#VS)Svb8^!
zeAG)Ad&AgH-DrG+7-x$tna?@ye{;5ZUxS^~z6gmz9Fb;6=Hh}}v?&?!tchtiFJ|7X
zNfv%QvQ5JOH0ur~^p8sZ@2|i+x7rVg)i7~g)K+JbzdaV2%J#0|NGMZ{I!pU*UqF(I
z?5kb$#V=k0jR@2`gZ6w)K5<<QGZN=cYu%yYJ84Q3q0G9GUAd>Go=>AQyb}{&`K@-A
zj#`<k^E9)cl5kmnhMezN8y$)Au$-&)nX_Y90_3qt`@i?A|6E<&nfUM9Q8rn|LufH0
z7)BMc8bg1DnKbLc%uiy3Ef{R{-pp*J*9a<Uw(Ty+DLnsaqBYE_OS)XcD-s)|?F6mU
zjm+zDeiCakwua-PQR-X*k-51tJF}iU$VQ5PXnf#2pzKgK$qU<KXm`BVXU}+^+GTth
z%r>fBvwBE0Nq+{Wl|9&)Jb`5*D>@c=qaCsaEW(|NPuKIE%sj$<e!3j(w{tF3mT;?Q
zEmETM%E?}1ckA0TG5#*mbv*4{A;?3JWibz4@(%IL(I^05B98RAS9v`6*wZ8SE=RU!
zB=MU$S4Z~DOYKINY;v=fl#J_m=Juq@&Mn75lM&^mXq8SUc%hO>vIf`~&2%my;I4p<
z_O+M|ou-i^805Ow_^MM-iK1h=gSXo|@}bI-RNgPXr>#SVnOOD8S{}v{1JVs&+{x_u
zj&dxy`aO4rKe+Km24!j87{hmJiCCUCq-}1r=-m(U8OtiRKhrV)fTC@eTiIv;35jX|
zF!zE@OBU^+60W%PLWpdYdVu<wY<v5kvLM|48p5*02C6)6=I4keT~Z5DU0(seL~<;=
zGIyu&H@O-gUP#o5g1B7Od9qSHcOL0l${|;I2;cnDBnwVXX}f$lc1~7*yM^kStS3u%
zcd<TOyobQp3G5g#)bA*@esjG5H-D(K`CyOKwPypsS}P@6gyG4ue{TB`P;dO({;Ge$
z`@h^-{uj6R|K7FqU#0c_OiJ*tk!2N)l=Y-tB<Wn&EfJHFx@Ft`>3*3?Mzu``!Nw_+
z0eeL1!keG#6?JGZoNCmgQ&A=z=KVg_*JRBs?Nnw?nJG!iiMy(pfl99=po9uohd~E^
zVWO$SDCvH{uC)8rfjxi$T=EI--E4mJqT)#Wu+^G`FLBhT4A=w2IOyMDTYyu<0Sqw=
zPST>GfU`#rVe9}Xr@bhH4vqCUj$f9zvaT;NR;Jn@LjoUgfZ>+FZ`A{A@c_g32Nj!9
zVesPlhp79$T3GiDtQ4j;_6Kdm#Vsz{ZVcmC^dB`Kx?K(EnWlwX0puH7gv#$Oj03m^
z;6HHnW5%w7hD1R8^$!ZFQ&WC@2$*5!2z}-Y_K%O5`UeF(YeEMw=-!3uvCUYO<>mjo
zflA%dEw$cY>(1K1cz&CqiK9S3u?qX)U4sPXxP$;~pl_U`Ev&c-fgp4_2Iao{O0;zz
ry4cFrjJok-$h=KNen`7xJV4%NGRgmU^Y;J$|IO6@g=4||%fSBv(T;@x

literal 0
HcmV?d00001

diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Figures/Map_LARbasin.jpg b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Figures/Map_LARbasin.jpg
new file mode 100644
index 0000000000000000000000000000000000000000..ad3adf2ff7142f96a1d7eabe947aa49c99b96b17
GIT binary patch
literal 92652
zcmbTd1z23$vM$<qaCb|9;4Z--K=450POzYjYvV}>5ZnR;cemi~4#B-~5AM+T?X0u*
zK5O51zw_>Ulb#<vy5}5SRe#y2QS*8Jc@2Q0AR{jWfP;erfMI`t=S6@N00AEU&kJ@S
z!d^%(kdP1&k<d_3kY8Y+VPK%6p`&AB;o)Fn;bNhq;}GHC;u8=O5@KKzlMoS*;1LiK
z{Fwv}0d@}}5-JiBDgh=sCc*#b<GBNX`vL(GJ_Z4f1^|x>hky(B+ykHn0N{{d)czs(
z?*k4VMk6xH3sf|8*afvX0C+eA1b9S*KUBl6_Jw^9K*UADd&MPzjIU~fLgPfh{W&J<
z1+8RdC!yNJDIJfg^A}V!B4QF!ve)zsj7-eDd~f&#1cjvDNz2H}$t$R9XliNe=<1n$
zG`Fy{vbJ$?b#wOsdwK<Y4GaqY77`j8_dPx#@kdf}c1~_yenDYTaaDCqZC!msV^ddm
zPj6rUz~Ip2)bz~k-24J$ePeTLduR9e-u~J7#pTuY4fOWz4_|Nqg#Tje-<<t#eBr|Q
zf=5I|Kt%b&7aY6?>_ostM0&-Aj3=RrV&a5P!~OXMfn-cpWhW{vkJ>4rsq+LH5gqUP
z>$5+s{l(e;9b;eqe{uG2#{Qcx2mk{C4h9|qE<hacsKx*v2hMuht00A@Y;xd%#XRW(
z3~SY2Jp*K`h<=}QU0!8kTVP?b?_WFvzUozk@nvAAv=jCd@Ut(3(5MtR*nSe4^L>l8
zEVFM%063bSi#L@Vl`PzflePdyDH$5cHr9Aj@x{DgBgc`Y%KpS+2)&S~tOX_23cCgx
z4Rh>Z*k9(iM_s-++-MTYYmZ^-5<B|>+KFHWVnWHgAZc|a2u5;EUqh@32RRyt9hE`C
zlH=>+_M5(X;QXrQh~0P8yiS5BXzf8vm^la7(D%IlHQj*rufyEO(pX|9D&kQ!FOIir
z?Ua`-qE48cdcil{&w!wWyNW=QIeQ}iqZf$jZ&_uBA4L2#J7jb9Kw&vL1RSMxnX5Kv
zFMM0v#C{Z16HD#0R8U%JxpZSdzT*xu4#986C`I)*Vbr6e*|;CE;AFiEpqu;k#4%;Z
zx^-re;ht-RKxV!EnWLUWSjp9o6RKpg9u+(b*-lkw&vDpR-gRQwewneYu;zVwW)b_b
zA>2sv!|J2W2`RA5YSB>I16~O|gw`qE{I|4^vB@-%K6<TuJv6Py*-XSGV~gcb39r+2
zgno7gnTW9~)Y!^C$L&ohz<r-z-6|91|8=mgd$NHk$U!!}+<hHLo-Dfg(rcsq=TffM
z+?Y_}C%dUl<f5>Y>gxj;_7#v%EBFIA6WcMRPmfo~C$X$h;#$Krg3<9U?HA@3558IQ
zAj*zuQ=EZC&5%ANpY8Q_<i){L$c18@Mx1helzQS#bwyID+_H<I|5p(v>&+73v^Q7p
z#;u(#R*siNDmj$9;=Dc|0yiVDgeR;Z-{IFHI{CvlQd~AikSENz_ucpD>`E>om3+Eg
z%pC~p@=P_-Tx}R*zF;S9UyR?G5&9dAANmMxq*+YfzIhArs*R3gxXFEU)b_|^;4T)G
z(w~fh_hW1NC?2{tAUu<^5y5JhSFvbvFO`241s*igJ42@qNVd;AJ#*9lmiIJc<<q4|
zl~X{iaNg*K{tWn;L3HclnP6^9=y}zdKhJZxh^aNF9zF=-{`G0CiXwcbY^K}i<%Dv?
zS_;nXg(b4Zm_fbxY_pdsWmCj7gb{ABa9Jt))BiMxZXoy`&Mjo|i5XZvum9n7X}#*}
z?(<5XPyMHb!6BFVksA`esERHja*mSJUS|%JU~VL6Z=Mlqd3YkDYCCvQ!|dlMl4CT~
z6>6z`W?ojkq-f7ElV`2_BYt3v0TPF>_wB(mbNJ&NsOYV+7DOL>08H#BqrmS(-{)kl
z2B>;ON`u7%TZr?)yS-$Axo|<@Y#R<su_Zf5R2dO2cgJza5hdU#<rw{=iCb&47Q96d
z3OnA8JH6fhWXxPsc{gD<wMCv5x9rV+FU%68MD=>fxAq??v89ZJ52&cBPUk{c=TxH1
zQz3q5J6jd0vKI%23;}-Fd+E%lve%J01o>CfUtbU0$}VqwHn{FTvxuWesI0wwb?iU=
zWpnpVvxL%gOx;=w;`*a!(a2<U>NjZ9J@R^EWmk>mjStt4O^S05{{Zdr48Y}%5elWU
zrg@55d^x#?0hR1UZtb)~<vuw~{sij(7cl$>TH#YxlvZ$;s?q=g*vV~hYZr;dvfU1q
zD0g!RPcFM!4I!K9zl&kDZPU3_16LHi9*n5$?DbhK)V1srYO;Zt?^LshnSkW62im@V
z)VM-ed?3$Vw$}4hOw+72NG%O_>9sd7?6ykTiKj8r79ia9N51scSEz2|KO08MjkT};
zV!=Alc3VO4SeVx|C&mOd>#kZg)Zg=XnPgg*l*0!7!lbN#c8FahzW#DbeD`Vf=?U#0
zZ*Qf5k3V>q6_%6;cS?SqjplGX0|>Q%hgoJB(EAzjQ!{?(T<QfG6J)dUivNL*%<|zG
zu=osE?UZwS<O;%kY=3+pJRf`D4vczu+;4|+B|cco!ft*Bh<g=0VVFMy$c!Kw!hum)
zS8UW>WL-xsQNUE>)gY6bR%@B4wP!$;tljoJiOR7CD<}4@k+6R^!~E`(I3MtVWcZ0U
z)^G6ITuy&Ph5G&lZ0K*Ta!h17t+Ib7U86{#oiK<Oj)aE+r+YmPHl0)PhDL;YINao6
zaD#Rlo&g^Z3@}!0l3-RD-oB~jzy6(fCj7H!al(InAbTB;wJCSUeNK&Gw9@bCXlv0J
zbv*D3mC(yqTc+uAR`UL=+_z2{r*Q3GsP_!>{xIP@0|H3>`@Z`P5doe7{eO?4#YPZb
z;n4ocFF<TKzy)h1+%JFbhjxW=s#jB7&j9M#&Bb4Y=bKMMWS$g;f6HgWZ%EJi3)!xQ
z+59uWTJec5*9Ak^-I=Ih+UPXeIs+Cj9i9RHNYwuv_|&Xc1qK~HR%rA;e$9hPRrQ`x
z$1J5){TYDF{S1gu{AI<SQ+dVkPlROuIWS`TBU;NRu`45(XrBSSY8eYsz$1_1XTVyY
z(GznbOd#uK`#`81@7V1#p#B-q{w3<4gEoEYs-TSN<-eGC280%1FUTs3+Fz+Y1Ds%T
zi8^AY?CSr2aIp7pc6{2O0T>y1H?1@Nr)GbYOi8@TFD;$@%D{hK#^@~PULn}AS}Yru
zECj!Q24vj(-$NPyIbhlDd;HFO=;Zld6rbfk17Hk21IAYVMkeZrjI!6lSMeEuiVTBY
z{Q4Pia|)yGA0zEyvul-~C@HNP&wwQbqq8FH!>oLQXF$}52LIz%n6hpZK22ucMfOj_
zg#X{9|0fc))Q4H7)R>;dNB^Zt>g|VFd7tB3W?W7RN1k}wYYIK6nJ#Z0=!E`lE1Fc#
zfOnvZ8sGfsk#Glgp3vLer$LB?_~wl!%2O8%zcWo!@dYVafPM3f#~*P#F=zb2W5^ei
z8EoUNT^DnhjEc1*xrvy5^(M_DbC2i%DfK$x40}x$pgk&ktuX;Zw12du{_n{sR;%)V
z^su_@fAVlRVru^b4*8NGFl%MC8@tH2B?aH}86aAZIsK?0jtRn(e!aP1Adfr5^OKJ3
zcEw>qT%I|LgHOdfuJDhZsGB@~uc>A5oh|Nu>QaNL8a2$GgIUCWkd4N^I&WLB+ukJi
z2sbT?S+A%j_nj4!db5#|h<G>m>#pFiH)kHny?I8m{_))(;g-+?7w#n^x%=+5V3t4r
zhs_!th_klD&{&1(oNJ+(hT@{RCJ8`}6G{9D50mG~A130HwTkcf*M6tXl4aK;`Z0^D
zi7@3W%zI3Kc=PMc2N3$vV-ANn^h&&30y{oK&%a9|-+%0nS0ecDw}j`28E`E^v3C4I
z{d4z!em0jH@W4NActA=UzW+!38ous78g;K$|7kHW^Z9QCji}oXAG5+an`VZd0e=Bh
zDt$`cjY&1vI7|4b{Fm1R9(?cWpZgy)$4?9n46dZMpZNsi3!l^<TC6K>xr{`M!BOjy
zarX_TxxH#&h{=$z|9@!h|E9wOP5y^hnFd75o+UBQ025T$G?g5ON9&6^y2&@%bX38A
zNvQa4OBg=P>TdWSg3S5H`-)igYtPdQLWeq=MWDmcA7Z?p#>6Nkbu0LcTdV(qUhQrR
zAwEO*8SsA=DxG-sY``nJ6`Ok?AmT5b6+e6itT)h*SGf7EUgQ1&s^Dq}#*Y(>AFO}d
zq>6~t-xv{|vr+?m_-T;uEh?I){z4|(=o1-w<)T|jAXU@X_6JRla&;{A1M6B$ybaf6
z#T1!%v4ccXLiFMFJ-m<BwhI=|03GzGlmjD1MHn1E*T`E9;uim!DCP-Z#V)4bYT&;l
zWAF_4t&z@6`K5oBOe39Y;uV+9u%+$SUEBtWX>BL4&E2)|a8Omkj(9T*=Rn1G^);%`
z1KuMB*uH<b%6SF^VrRm;c$RGbmw9RUI;Zu_2G4pWLtS)V)KBUzeHBzW#$vuC>x*$f
z>n7Z;dY1zy6>i!l;s2=#K|g^Q(qQcW`_&(xr&7>ih@I6sGuD3nhdK4$Dap#KJ|6+v
zB!mUqA3G9_er6}yY_+~rqliJ|%{rSBftrp0!gB&~Kn*>s-$Kcn|MXuZ`G0~C9do$(
z_|HqiC@eUr>9_EW_@9)fU;H%d66t-)h!HGc;Qi6~Rj4W%5jO{){{zV%#Z$e4n2HU+
z9B#lrz3;yVESpZJw34C@Zhv2{9=9eN+>JSx+(><m^Ec4O{|6HO8+Gk|%u|N$?S|%=
z4w&Ek!#%?Tqc6gf|G%b$QD9bi{U1T=KTVLrzbkkg_|Rta41jX}`ORF1PfheoWh)i1
z(EP^?#2VkT`oe7DA0GdY?fjDl)Kg+fvytO+vA>iHWlijpz`gyy?)TUK6jce+;D6*v
zul|)XL65|cz@9ECt%mK#w11#f7KaxRpcQDI859-Y_$#2PRo3*I9di6LX#Qse6%dE#
zr8x5}`8(u(KBbmGf~gfO;H&<zKe6WbT4MeGjCssk#9W55ZKOmRPv@zj&>UST<@&uh
zQ(n-87Dh}0%Dv<VSfb<AYIe=u)Yu5MbfN71HTOYjvoAt8(Kv^4#6h9O=J1U#%G(2J
zgfiD}z67dokzgmrj~M)DZl}pMt5!GIudV7dv`@41lFnTBUR$Ny1Wc!2UA8oyFH%rw
ze<}Eus0fYo6HzMCX-jzqux?m|aX-DX(VO<g>R#JvFFqjB9`vV6<dkBcXa6XfH+NQn
z_n1TD=_dviptTcL@)ciSHd2^5{F*FMsbnkgINm`W=reLJN#Qq6h4l<@opm$J?1{2H
zl@zj)qZ72fD*saH^LjKgLl06hw*O$8-xbPO8t9lE%7`8aquYQnI~0Chnm`4ftYh}U
zBOC0u{i?MsQt-#7v9a9UohC;}8@mw-RB!*p5uXqeAhLD#LHP8dGe=$bs?2oVjU}u-
z)nS)vdS_iBqo&Y({qzLq2>*8jJ8fg&>xh7y@F0}JB9^{3YM-}lMx<lw_bF0H$!GXn
zPnw4{N7=r=n5SH~Hedwhnz$2cJp(jqCfB)F45dLhPfP}kk2W(t1!w#kZ8PH5W7xl&
z4r8U(%@Bl2@MvP+Y6G4uYV&{)h2B-g3>96QS)o{m+UB5juGGHu_IQE)gmjIn$9xWU
zj<&@<;)A^p9;MRjV+iv$$z_2<GDi;E-^~2KQ&1SYj`6KgS7$`6U{gScyPjUQdB#3s
zE*CWkAX50`i0iHJ3QmDCZOeTfh(j+yVX}>38a1&iJi+l6YQ?^zHXAnX5mxMhJu*w-
zAs!J0XB9yr((B9qYx#A2BlLo9?Z_bKTaSdy6QbjOxZrxeL-87_w)WHFBUdGw?L+(H
zvIOaKv2)C<U|^oX>A~`r_m`Faak8jyydyLd_7xmQM{J9^)pCTu4eKV$5Z5%Tn1cN`
zb6?%g&9NU!Hn4GgV1*C=%J@SM55R$!hPXwdi{B}Cz=+-i2Rkn{nGdHw=D?HrOx0tX
zfc`d9eQZ~)jwpo=f7T7g+)w?1m|<>N+EnIBKt^U!$tE>Kd&6!dxQCKlZ|WqUNRJN^
zvhnR967@FZq2!<f<G}ricHGvD#TxPF(z_}arU601K_R?AKC!L3smda00&Paaz*l*h
zZkg;ZRJ>y`I0%A#9R?>$n(fS&)TEV)Rs;K(jvnS8g*!WsF}-;Si{cxJGMs0p0{hm0
zq-7_pw-)asR^msw&pAE!UzE&x1TpH5Ee-g8b1$1q%C43=?iyOGHx8}9ac_9R?QA0<
zBx2MwT<0~D#v9)xV~%*kJ6qm!IJ`&xrKo<Z-$_>}j3XuLI2~jUs{iplkkh-e)K2EL
z7Wog}v;+Ba729{A!c{L`6KW?H+AGN6IA_<m&ISqSdt>fq7CSAH?%J|*rN=XOO(!bH
zY&LYo)kX=HDTYZncQlFznk3QH#UZ9+D=hzPB<70jae7zZ#Eh*-n2a3Q1&@}YuAGj`
z`w2ggvgqy$9-MOKjQ$U*cUrP9r&qe|dt=oY9fP+~1WIq6L`QWV0y4^!;F)6@t56OU
zy|Er}-ikU&d0@)4kdtuIVa*d79mx(eoy_J&u0P}?2>iy>j(<bhojPI1PU99!vzSr1
zm;6b2#f8&EZs`1_@Y_Yz{$U*Om{<B2Tf;*|XTby2&yo2B4Z*_@xXsz@53M{(IQ=p_
z=U03dIG>8SA7&6y+Z^FKOYkb<>A4lX#+QfmiE?$uslIxl6<)j}-u_^%)XZ(q5q=h0
z!K*~lxhEeUk>c3<a&bJBOarkVfj6oajKcd0RYAxXoR1&$(%DJL8r|49O0NXpR7;hV
z{0DWOPVEbGKzL|wp>C7YzKyYaOeChfTs2#Jyi@AuxQ@$`SNJx?^`ZyDPVsXtE(dyb
z@||=D^Xl(yewEOD3rqn1NdM|yY!9D~B~fJg?J@KCR)V)*g(PY=Y)KERzMiK}NX?+{
zm2a_)YqUN<mM&BseKcj+(bw9Rn^%IuWG-$c>t$uXmljrmg9+pZ)(g?SUg6&?^95y0
zWQMaYPi5`#Hh#V0=gMx_ch7*hI}Nh3@AYI#gFcA3m3L=a{-)!^>$BN_K8~%Y_~Z4T
z7rBiE(}PO#3zV|Gtu7x<^Y4F)D4Ltt%g|JNTf}NRNCfSkm$W0)ij#qo-$8;yA%yZN
zZzkxZDHuvV&Lu;4JJq0xn`(+K8w^z;IG(CPL7HNjoPD4rAIvO6tLtNiIchyMKP__=
z;>FM-DN9{x0(Ah)F~bXXaJDHU3(XCAjfEWh@NBf&xq7qsS{F3T<E@L?Jq66RRTz`X
ziDG&JL&e~&laCvk@>-W>iK&dg-^zYjsbvE>viQKgz4Oa+V)4|T{G|udG|Z;`jpS)`
z^rG=G(}xmPV9t4<UTX%v&{v4AR%9(}lGi!!Yjb?e!hZOO9Z>l=^$22KMZi7&fJZX1
zc{e*_3VydM3oNsn>(GQQ7{bFM$k#u0nSY;OKcR{;fzbQ(mfM1}42F5L=@~V7`s9Bz
zZ&F#r$lXqD@`oR_C~bD<>=V<7vJYduH#imxs@{S|S%18<D+s0qpRc`WPQ9Ti0)skL
zp+mzO?V-{_vA-S^oL>y~x_GhGj>c?gN3O3=UNP!#c?PLI#V@N7fEXy3yr^bSgt)X8
zu0%6>^qQ@yXvbg6%^dHzT@a#(+|9N3?8r@g>yvRZVt|IU0L5C(OBduZM<N=u*@=Vt
z4Ya4y31&u{*Y8<o`}WK*I=v7=*S`{2$&Bu@3q4I<^Zm{aP4LXp`9OE79I??!eVrDr
z%|<#T%<-#TO20-WC9H|el7YV)8{0rf*7|j54P$4ASWceWv=};AQEet?I)5^ozcRn~
z2L>lq{L+LTbDW{%4q@V#nlQ?jdm)zOx^Z#j;h`1$-6Lqeaz>)Dd>v6k7_!oRT!w4}
zjoaQ!?4CJ(qfdw+P_s+6#FpWk+nmMj3^f)9SkWByfonZs*(6^I|Lb}8(YE%uwu!Vj
zNVVh*u|P_DKsrI&6niN<Z$n;fqv<(q_%YuE*rhu`jBqk*s%HKjQ49thXdG=iJ1#Z1
zbY4^v24)WoNNnTr9Um($2Ws-hJ%iY{aSV4=*sZQ@VvYBFEo@&rj||>_phI(S5I4}S
z4ED&6;}2(lJxy&H7wt4ZNw@V*yO57^rG&8iWBr~=zc1QP@{$~5r&upMCh$jYS!if7
z`gN$eT>;|5LT-I5X`X<ijo`Lip0N%Zo1IMd$bt7-B7;bdD<4$}f!fnKPtav4n2%&5
zyo8fh5K(iUPuRkwCDpZLr|GA2UFZR+mX@)jFN<2&9-b85+HMw~*4-U0O+U%d)d+pY
zc36kuG<F#($XGSe6x6`O!^4<8x@V`FND%;uQ%`21_>o8bx!Ca+)`pw_#l>tnr(KO=
zix(NKifm%)+BF}!A@k5g+*g`vrO}TAovM)dWB!Xzf~9U!)k|~lq=OMI3d`*`nKj@?
zBBzHPlHe`?V<hy&)sN{iZ~<s26{g~Xr#QwK)2AalatMV2g`_Q`-3)nLQbZjG@~x~a
z+`2n#v;g=hn*hXUp_y-K#^M5)$zPj-El94jX!JgwRt>EwfGJE<9KU^jZyEY^En;E!
zK=Pa`<`$NNlrA`>y^7>+-~h@?2oDUNB#*?`$sw=VfVX8(oOTZ+<nfl2b-#xjQ%oS-
z_BK(!^`4@^E#8qK5f#kO>(U=?a29p}I#!c2nmaV8Ov;lLBePv-E?lJv33N6#gc6Bg
zOne%#9QL>7Vvnq#wm=DGoAxQCsehajFx9!-$ks)#dqW5~R}wN*=CKk9G4n|^$8u7N
z+z@9)j;2-zng~>xDx=uE`!*m?*-Tb?b6OKf*xB#(dRl`XKTgqj+gDNci>z0p=|>p>
zdoG=ceK|O+0<l^PQBywkTK$+kIRbQ-fzjS3c<&kK)i)@7hP6siDt&(Yc*X`(=jgc5
zGL&KGw>wg?a(p=-M_6r*;#K=VBr8KlQPnY8Vhhd_#ku-U>Lz)n4->?`p*c>JHcef$
zskB?0<xF`M{H0ka@a1~FPOe#7Xbs|N-VI~~#gJ9p?hneWBePe6G*c(<oT@nzI-L3y
zYVV1-{DZwhXc1Qj`?ob)Bt%Yi46~6Iw(G#xCE}H4_E5LNj646hJMA1MnPX<{pGE9B
zJ`QLcJ&Lu{Wy(LR7|&k@IV6d%(Iy`~VgJ6158TNT?qrLMXBP?6O<^r)ESKtI%lPKu
zY@?00$0ZXmkW5l#bOx9+KaJCwc5t{t_hd-8Q4Eiw**Ayi+z`fE9A1$zW*5SIZ6<tD
zR9D9PO!zkC$INHI)>_LS2VM%=I)Pw6DWi1uKgQ{3K}o1~*Ts0h-p!7ffq_pFxQ|M<
zf4uel9c*=?`vR8b1O7Vqlst5%t8p@&<tqfv>U+zCfsuAXU7PONYo#BH7Ml+yYr+j6
zp-l8w!bMjpI$K~oS5S2Bx9Sn_O2HX>ch5~?llV8+exjf9H3K=qKr@4=ZjdNQ1sY8F
zI6Ojw*{3?nbG4_<=YUurQTwQ1h^7wmt2$~7GV7$uZhfH|A<Ax3nwB&Gjk*_BI3w_&
zB5!L}q&L}Fl<uZ3D04~|&QO`Dt(z{d8BY8OOyCf}!QM2yiFhDc#pEj^^FNZD!~coT
zsM6syujLUXB89f{x_YJcl33scO;o%nwAVuhw_WVGuefGXr7b8b_=!Q+04iN`Vg0&A
z!o81%bgZx<Qw--o&%SK!USn#0gAnq2iO~LPEoKjrpJQf|Kva~YBa>uZP79a%i0R>v
z;AUOp`(g8aQw$pLq9mSK=UzMh(1egazG8f@XAIKc8U@adO=xHtWBj*l|0Uyp|Bt+c
z8v##Q&QCca?zTF%e~f5+QM&}561NNszc4Tv*mC;NN5#}J$!!(EYL^nMf}JOG_mLHf
zTXa(-N$e+dH@?0pU>o||QQBJ`$M*|~{&8f@Ld~M*3)8HSqEVn~uOJPpvjD-ZX5bN>
zv_p>mabE|D9?j&s=P9zbD3T!;Hw#5%dd;J#1~J`}t8+4Q?E4C_5b}rpUj%Nud75#O
zLB@t3&1qNaEIp)$*1w-RY5t1N>>T55wAZeU<ze*^h#lx2VL)gsh{Cj6O(GS`FW{)W
zAf+kG9c0dO7Y^3T%kL2?%OUwKi6<BT`N?%E_qMSom(P`rMlqrRPSi#?`12-f0Jdan
z|0sl0UD3aJS16-Qp^2v|9*>KmRnJs$m%=Q0qBdnDYTJO2(s~rrc2HBFb55R9fK3?B
zD}3gF8mlEGRatT~-+Dz|zIA?+;J5vIr=N78@*XS@Pttlae9|Q8PJtU(<$3`L$X#ol
zWnmHkO?C-4qfKV*+4m%EU-(##SoXeQ3WL+(0=TQETUd(>KL($5Ur4C<9bb{XxK9nW
zAcDaOFko{i&dccKBte(X9NWa*OiC1Q-+(OHzclTT(@j?rOv{jOv)n}Lf&7wc2I=9b
zU@$s-AH^8Rw>LSwKO4;Z{<Wd3%qY($N4GGWcjw&aJgZ|u9)e;=%~sHm7zVg&Q{H9G
zpHR^7opg$Di2kFO`)=djhwjZIzn$IgDJjg-DTPh6(AusCX{Z!Ok2r$$%^Qi!6WoO^
zGKf<*3*7j<>XqL2&6A!9&G4G{M`FZQIO4(d91x3}@;XCy$cyjH7&qnGYeb2qR#YhU
zb!TWBk2<$sp8>?J9>nb}iOig>C10Erw0QOHRSnsvnWJ;qW=qqU7d*KN4IF)c<CWSV
zFV*S>9TFRHA+N+!6on9E03#`g!r?B9XoF};RmlP_OOn4%j22jR=;h&&(!qiAhN9D^
zC@OQ``FzPUTETd^lO01Uzq}YK?bx`RoT=O)GbtmO<8*Z(KTL(q`{{0+=8(IGhL)~z
zlaTfoLaBn&L1=aXB94%Y!bNQ7*#+A5DLB-Xsm-!Pu((TozHCF|{PLjf8PH_!j}~{$
zOagT&d<M)tWK5QToNFNF3uc2M?eV&gp)fa?W+Q&}3}Cn{`MRlAnunQGgD+1H0_XH7
z<vb`!mDnV#F1&KKTmEbU)h+@9dzv`D*(KF@ZY1yun1@j_-Dw9vFM4>uX8ldAqw$2b
zm%SSDgooyz>^X^=IX*}5&6bsXuu&~buXt(nW)%0^xI0Y~jlL)>H!sFfl_mhFGhGe=
zShgx4^b*uZ2y06>C<U8FdUJyrHIl^8$F)-|tf{fxznt>kI`u6=fgi}`rwBf3z&mMH
zgI&7h)rwCgXO)*|jM-IxrbAwrCREg&o|B!*Z+2U%WD=m<E0dtoJ-g^7I}SF-(6cK&
zUzEd6KE;yunL-J<;=tQK)900;W_~Lp>hf@KAay3J+ywKtEJQ)0CQ*ESYhtzAZ9-6U
zP_b`;(P{iI<H8*Q89A}qeUoDKZ71)v5C!Z6kfg8nMln=fYKo|fnkgrmZQdl<Ua%av
z;n7Q8LQ1ZG8jBRVBU(KW5+rlO#}M2`1&->`COQYAtpM>J`dpdYqZF>hu^$L55=d(~
zn9LY>^!mhP%1rbKwnzA!Z6ukj#?pBG@!9LGv2r$84npV$HCW|eHEXS;twY_IN{2o?
z1|3!=`s5THf@+{8r?6e8Hq4pq2K++#ZIW66NUE8@fnxq|cQy}J)?g#!PlaZ+X6oY@
zrZr`%G86}rdwOc}EU}oTCcJ7OvL3IL#fKP(WFy9MLwT5dRZC-Q)f``5luUh{?*Qpf
zLvJU|wc5(b%b3TEylzXMb30vRoeGL8`bK@>R>j^YW?z0i7jH|v=+cpJ>aLbynd96%
z_sE`I^&6*%IMF&_7(@dLBW5VU6T&Wci|MXKmR46_M{zyHTG@b+2eg4!_c-lefOxEk
zVt_@ukiiBSFdQhm_4Fi)w}NK3`$8UsknOjw|ESw9YVADf?wqX6nLs%7G-B)PN-Ezc
zyZiQ46Aoyz0@sEb|58!sb?ClT+BEC0uM}}Q*X<-NE^GRi-it-M^;+sQ3Ic)$klG+p
zjSpK>oN1`tuD-4E2D07$p=AD%HH_>dJ-7zq$kd#c=jCfIQ^{Lt{K^JZf;y_wgg?Ig
zNg@7qMqa7{Gb#Eb=oTDMsaoa;d%k{hWT`%bm5-&v+WC442jN>&#XHn|(N&sh;KIG9
zwwA$bW&kYI6J;IA^=7j?S&?4JBN42t8K+$C9eM*tWF$q9;~Th7a##8CFO#W&W12H9
zKRE@jva&w(COGPxD7VF<QL{x#K)ltH-CyE&Ugalse<AsJH_3cMB=}-mzRycNFC_h~
zWMoodPMq~#@_58X0yp;1e5QrBj1=W6o2-`oOY~7ir;)cI?FG9M*pm7>5M6kzD~pYp
z(xDQJfR!YW`%jt9IEKp0%t5xE_eY872asY2K^;ph&L?L$k*P^Dj9%0GvR>|edPunU
zh3ev$a|}yI-jxzHHVbQVA`d`JWUdCk`-%i9VTHB5A&QFkqfL6j_XZVpnqaE@@P4}M
z2WH=#VbZbL+~z>dnZ!@i#hn1P=4!RHZ<Qo<c=YncWXZOH!C7UjCmq!6*a`&|(QE_g
z0g-LBsWTH!TBHt7S)yFZ7zh{`Q?{wBxUt+^Kt_^S0kQZ}x^;{2GH1>6JW>WTZ%y+1
z#cy=)WPv|$5U6UA%S!dE-f$bPzOOrdIV`se-zE#axYx{2^u(MCVl8(QWc!iL9Z<Qr
zw_0FxV`T=CmBvR^QP;M;J5atjI(}GejE^JjC}&WB4iXidxgT_G(R5Qt$6O4GXm{TD
z<H9z`Il{<yr;f@mBSga2wT%&;5Sc`D%{Ls7jlh)USLj(4tFa8}{BZNJ0)rd1;Nn=H
za>yl<s@$V8F6-tm`?sVBd@*d7_(OZJ1;u{mWksmngY}tg#|A@+_RM>7uwuhQ&&&Jb
z*@{p8HY3<wD=gj|ghIN@Mz~MW72g^5(pd)MSyrPV`?F%5w+a+n$=`Nq39&vG&qFg5
zLhs)<MjkJB7@z%o89Jc@P&?)n*2Y(|>WjZ-!Gv}SP<=1#RhH;1vd3Xzc{RY>7dX@S
zP=uglLn}NO3ncjJ^hsz+o>sWAfMKj7Q$ONmKzckay$S`!y?Q7|tbPuHY6%XO@YH*<
zN)aA9`5;n0^z)w0&~QhWmDJcZinC;UZCs%4OKWZatHJho!^cqB2mLhJr*>E^Nb18g
zAX;e_`=Q!lTl*PcnsLiO7X0Wx_{cKe>4wmHHrFXC+^5}lW^Yl|V2aMmDs$*s9@e>n
zTz^`T#F2dC5xXYu#5BxF$x@K%R-p;FW6b{XXV(CU`|rFy3r@TSC7^v-e73E!BCg#^
zDhl#fV*dyttK0IxpTFTi%~GNgft6y+z^cQ0Tp3;q6#+f^kfB~zG{!vx?1%^5!uby`
zE~Be_Qyr3k{x&;PC6%R2jeGcQ*^Onyeb@YLlmY6^$--|pF({k(^FR{idpATN*F+~?
z3~ss=PLQ&^SdjgjiNu4EC#D1EQM(!zi8jTAo?I$TUr?O`uJzDq0c4Zjtd?_Ou$-s=
z4)teim_bdXt|cOC2(@tHL$Z<ri*!*NrBu4eJ*i%}mql2nr*<!9u6)3b@lHbpHuTa;
zucNK%=Q;12$HnT?ig_HS6~0L~aU7i`n|gO={k_?PD0-=3@0n)+%7GqrnCpS>8*(NL
z6@U|sF+59XD#O<=#aC@lvJ(m#XAzV7v~4ZW+Vx>?dPVPf)7BVNxlt5>3PGsH8B0&{
zYM9od>T4<UK9qq0Q5M=h*o?LnR}Agi?v3A%B6zya^x7zDTTcBF^OjaJwd<p4sqW<~
zBuSF7lDB4eQ&<VIMqGl=Ix~9P-pp7MT>$ZzG*-kmu>@cp4M@<S`>yL92slS^<g>^i
zkZR^gjO!H5P!cj5`Xqfh5p>=Fxh33Kc?I<>rQOTXyr2awNJJO)joBR8^O;V!;ghL_
zZeRQ3?yWGxN(3=kd;BrV6gAoMI<DRRcLyUazUzB6*f=m`>bEm3sBCcuSKHxRg@z5P
zYwH{^K=pVe`ETnk6sHOh`1*`|xMqDgSPXRb`n6T*p<8Ux8u!}VVeY9^3HKv=)7Q?|
zZm!<x5xLS9vyS`d7*4~i#?{dX)McIwA>vl#X|%9lj{dRTJfzNZ_(DrIvKB}R{UVrE
zUk!q@?CwW5`3BoD`;fGT4X+1{l4xs@*Yj1Q;H^8BFqT!<UFV)>x89(9Xr?4dbqQ5S
zzD+X>?kA@NseW0GAsS!f`IWOHu5ePDf$_VIf0B%pHb^Ir<boDK{71#>Gx07;9>Yo7
z6W6ZmDg*d7{j=JRotid$D1Ofq^~4Dulf!aWt!eghq!gSY?x#F*MRZ}laaX7M$*PHD
zt&HlGq@3llzLdfhJ#L&1*0S&?w*xB7v#ZReD9P5gP{rRJns!U|v&DP$mTFVk@rfXz
zb5WMQ2ibM>6GR`Gx--$hfPJmSdPN+O(2LU_NgK>U;E+3VGtNql+dWzJ{ig<AZQ?bD
zP$7qK?V$*|nno1_Y3@yw$!2AiI)z`iMUwLSurir^%J{$6dxuup8E*w0D1xkL&<_mc
z$$^v26(r>c;C`Pu!q+J!vHesthwD%9vEH$C!!+w5h+bq7^z%;P;WveHo!L!NKT?mD
zIAukPyBCqo4Wd#e3%8JHTjeRDnv3XEhz%v>y38d;nGg*_`n<<?Dbg>QgyoOkHbsGZ
z6sPeI)cR?D3^;{f(qzjG15n4j>dsilivwyRYluS6<p!gLBd;{@uxzHsqd6OG&yvIS
z8&GIbX20m!%1!Uuql_3Lr+~=xxVZ*JLG&!f_d4m)AEu58JPZ5T#x*;0hx7<eH0ZYx
z0InlyH9w>|&Bmt_e@_fa*zS~M-8x!*TvgAlY1N>3<D%*CFl)SKe_d+4MS(0(0`eOn
z>Jt>@ksquzje8wKCcPpfBZMYL>5O{t+p4zZ9V^9|JotD24ft+4{EK%)Y{IdSY2g7+
zQki@orm~z!av7{cgQ_e!WN6~Wem|t(j@K8Odqz}ixt@l#snH%|TwfR7+??u&Bt@S?
zl~{ltqM6J~`btL0$K>Ai;p4Q3N)zz256>=fn=3IA+}ayX?1K-Z=otBpxz3|n?)s!&
ziT!rK>-4j$m4G}cUa!}2>!jS3^#a2&i;%VqsQLXHs7Lp8^omibSKd0@Cu1^RvEj)o
zf6J4F3Pq^rsi$jwy~gy(8m1E`^&6lls9!|>jCzCNaHLq#vCZR~4+BB7dB`nT#y?T-
zuAz&-cQ%qqe%kLqEbHv5>9-$MGP=23_<RUFBjDpk8{uQiM}I_{C-@{W-LiOtXzwkH
zw#ZZ95#M?ggjjX_@G{A#q&D$aIz(z{&GI(%w)qJyiRo#6{KXn`s-N4|Y}aHShc#8{
zevY7vb6fwCKbo7cIHixk#1-iz(`NF52MgoNRP7ia@MFXS^_kv^ehL^lz6hX8AFxGw
zhoL2YNV(bE>adnpg9)NL*Q*TYam+NEt?^^<(QY}@jyUu|Ute71S5JS-u2i{!c#^yW
zW{!=Ys%s)VYV;5Rt$oNkL%B9TlU@lcF{G4|jA+x@dL7149Jgnb`GH`LwZ&}xz*lBS
zI+pZ1KV?)F%qPd6x?_5G;7H+Mmgq>5F`Zp-QLH_JI>ap<An<dYE5b7(<gSxWiRajw
z(Nu5mQj>p|B-Y*P-vp9D3~hY_JR0d)!jbq0!gapr1gKlrhis6ORLoEzeYZ#3MAQtL
zoRuE1t@WH7I>^7oE`66Rgt;0hDyQDB=W{CZkp)XsT6#Nmqor}8Na?)BHaEG6k~YX#
zNL}|kM!*Qy(co5q>a8+hE5k-Kb?)s>L$-RdKjql^dpgTVO!_r!zVv!heLWv*VzYwd
z#i*`|r(On+?lh^t(t*S>%saz*K*n<Yd71cpt{v3L4~2T~++X2}(`F9gcPNS;BPD3^
zPyZ?>Y?1c~&0H+$Es{^#z2q}sumddqXMg2@>{k35wos4zbn0=R|Fi6rQ?$EF{2V#z
zK;JFwuSMhZ?BL#>5uEm>IqBU~VUuza?`{IZ_J^%G6iZZ`5s_yAZ`}5(_)s}G{p8+3
zFA~vb5mKj*@?|C7NHf&4W^Zyn@JA7ver5$WsouFp+?7}gd-u7-bfWs$p$H*zqj%ww
zBJbp0=MPyclEBraIUGN7aD{4PW9aCPp|}#3<||MA<9qEQDD#sd&tsSeu71xli<mR{
zO4It0_G6Y2HUq(>uwRi(RkLiYbvt(X1FbpX(el;Eh3?N-fo}XLz2#GmewIf?oz`HD
zs`xUG4TAGq72)KQB&i|{IFv#@$>Y9R2*gthQ47rzzNR2qc|<c}VN9E?fC0Q`=3>|~
z)ndMO(Ct9~`<kNIcg-(;&5Pk1Uj#GhR=Ch&_#qSg7pKeeoA(nOY_^!Q@d82CsBGln
zIlj`4c>9p3z*>I>wItdLBPIfIkJZpC#_2$?fXv9X0Iek0+ORIsrR20A%)tkUS=m}=
zm9Go#x}rD-)z7l7O|yOsTC-Pb>^Lxx^3k3w(~@JegUFk{uimr?xaxJ}_s8SIRKE7U
zCy%I-5e$C=E7*CKAn27YO>W6urZcCS4f|QxM1@8@Hk+@v*AJbBMPz-0oPF~0Wyypt
zo_Vp+s@6}j*#%xKuK((=L~dAYhcf`xJ3(V1AX?h~1Wn^oa!Ri`7DTVUC|}C2X!ZPa
zs7*l8fS_x_E7cqnB|-M&457mV@1X0}P4bg({9blpi{&ZK{+<NGW56<3F(T-}1~n=O
z<?S4-v6!bPqHp^M(invVbp}!bUwjtpb+I_4j}r;_%`#)(2CGlEwl>=^TC{wF+eP>S
z8mkEDHhF!RzT8apmGg?rY1jLEd5dB;w4`5EsX(}_Ct>&3H|&@(-VCfu#i-!qvg<r2
zd(6DUvK<+(Oojjrdl3$&^)$N^;*aj`r!f>+ezq5%KX`!7WYwlcq(NCW9+LX<_A*A~
zat1er`32un5=ie`B^@J}#YU^9?~Y-uaC*RRt_^0Kw~jHb7)DH_cN*GH6k+nGWh3#y
z$9=0UN2!lW_Iois$-Ye;Qtxo=UczdzKERoiyxG<FLZ7RDf=M%|nU2P1ts%gqLr;yV
z6xDC5FAl7I2@*bY&h}e7-N;|_jaQYxzd-c9FcP!Y!;WxkmB{FFZqfV5R#Q{(YEdM8
zX3jdfqK6V&iwi{N*jx#0Wo34Wvaj8l8>U-K<3AURj1)_2O}&wN0G@fgJ)N!OONK3(
zt)u7$(abP}Fy=}gUPD8OqaK9Vp8+!i;VLDk$}9u4vS)n-?sa~+7w{SB)~C7k8!Q#4
z!CjQ5qfe92rTjQVU}M=!YOr_eT%N*rrm5}NnkWuZfoTur-P&X(Ku0f|WwsZU)DkS;
zko?PwFy`{!!Hqx%Ck3+222nm62(K!-d2fA#_DN~GY?7$yn5`_ziD=Wu_1g#-wBNLX
zAl*L5X=vPEJ{^<fBabL~g3S#O*KUf>qQ2wnM~^>PCi^(^+Qo$5PZp}lc#(Pcq=4!0
z-@izfdbJC<*F1UcH&RW_Z!oFfjbEt7-Q6nY9T*<i*|EuMuQpyzJZ#l@Fk8VLK=t;a
zICFqTX4_jMqUc>a4g1t8?_s~Q26M~_U9>Q+^bk`0O1pukaGAx*IQwQ=KS_RnAzSyR
z<Gi;;23`Hn;e<%(X1oT5tm4S`-1w<vb6*J0-$ZKHN_g7DGMe-W-A{i`aS=!@qI|nG
z<72!jcmrGc(MGpufc7-%c)TNV69g!dYsq9O%znME)s*F;!on_N`8DdSY$NN9`jS*&
z6H+Onzft0k@;h$dLv@f2hkX|}JXLGVVAj1gPqys$jXMwf@15{0lqHoK4<?&Y<lXBp
zr<Y<xwPz@C&JeqvbiD?NZc7T-GZP<5Hqk-8Xmcv}yj4;z5urH@>G9_x78~7NeoRo?
zx4x1rbqQm%(RpEKw{t%qP|gh6gintHa^AmBOg8iMFurC+=J_y6jabR1|ITH)=&*du
zJ8`i7^k7BE<Q=_IxoGu>PuS_AWbN5%uWI3kUV=ymx;R#pp>NLZzvilZEY9j9*j$&T
zlqOv@LdSasuNSb^kcHMv+k{R%x++3GFt(&SU_nom>VDX3$pw+ROjD<~#mMmP<R}Z#
z#xO9}E!=UHfnh~9Kcc$j!u{)nn9Tk$#*H>pXz=~}2gc^J<UN=DpGJF-FF)Al;G!)*
z`Ky0Gs(9+~ClN8ERV)M#36CtLCeS_uB+JF_pHTBQn+1a&Ef!Wu2VkA@y_y>Fy5hla
z!(UMqsBT0B4xh4Y1SOr}uU|p-{fH8br&uwYht)g>E_dpl0ro6LP=mX%?z6loUK^(p
z4EIqM;%@P3hMtVTYrN7nj%q`JaCtk|+$?IznFf2mt~&Y+;1Q`UL0`}>JC=064{fPh
zK5hHq2|*>^ISzeB#Qy6FKKwtSmZy_5wb;1BIEqPSQ|^5x0b^wz;+3*pY*Op<ZD-n%
zY`aD{HYhameF_01o+n?$LH@A7`@$iK{?zcnD@!nT=jgM$SR<3+fqy5kjZ&^zU#6Mm
zw}Jl|Uk!sY_wM)dUwNo}LkYnPZy?KocYenkZ!ow9d;RSFX7BJGUOg5(2yPhiy;Ct7
z2vTZA9YAg+I(b5SecG-nV2FJCQ4~YX7}hDvw_`-y_8N-4*-+U4QnFv!84s?vMl}|E
z2Dn$1>G7)pHTo64$8U^H9MP&osh>UuPSdff^;BWDebwf92B2F?L}@il#@@JHQXkNu
zUto7NP%kw1wz0HKT&CEmzgN%BMf<r-Mfx2Jm2i-~@Xq5%Vne%fQeSo12CLUNlY*nL
zf~bw&jipiIk}r_4&>PlgMjcV=BRAD=$r-=a;YN!Ddao>H3E#*8#{t=Bp0=DqPV(dp
zq!Qc0${1}1XMcT*PNn2B5pVGRXbgm9!>LDu3tpaaQoPP(l<E__EPM#B$KX17A4?Nl
zNDC=h++fPT{8-o-s)jJ3Y(w*n{FT2@EQ?3<M|NrbNP%++!?MVonmoxe^AWn}#c)@y
ztDt8<h|&rGVaQ<{)`HW1%b@pHZH2k6C6BkcGTPsLSuEc2n&}x3`>*YQ>YUL6#=%27
z%5q=KzdAA9iNyX@;!FbOtH2pC_>DKh9xwb1%dQIU=4ScMJ&sUe+XV<~n@@wKEIt_6
zPNzXKkx5qt;2bSOj`z`9As>-cu+^1Lllmfq>p%&!SNP=zJDlPZc3xDyB^STm&+s#~
z1zV7Xm8r^RX}_CV1XjaqtqRAUa~=1W83`UTNsLgkY*{ie35pdg$)Mq?8e(y^98gmP
zYs-J#tEq4$T)?XBU1pjP0a4EMeIT#JWuacTIf5%YaJ{5SUPf0ne9K<8^(_^JWT42Z
z+&n+OpDBODcYR@`?3aZ%jh}oXRJPUSNeHTt&eftMxv1jp3GJi^y$qq%{a#Y|@@`g9
zS}c6$9lgG(r}DvN`H(=!RH7)qHN_Q^3@AbN$G$&e9uUKz3lbi?gv5&WiJ#gl>l9yZ
zs@%4gP3*V_ePF&ce6z5^yl%F%Lf>?VA9tvpkTN)!wWfKm{3z#qJLP0EtNbQOD~(CL
z@XDK_vU4hYI@75sqYEAMZCc+z5#@xRQ067>o}o;}S_CaHfhl%D4?JfT)5zBvaG-$X
zs7S15v(&F)r5?5;x66wSzt=`Fee7U6-T%6C_!F4E{+OZ{y{Y^f5ZzYGpzuYpkT!AH
zI>v|;G7_L8s9ajX;G!?XyhvqP=JPIn13g0QMyf%^QG?Uq^KY*?^mYG$UDesmX)R4p
z-1@5FB`R1J9)$-^U$SxBdovs1>E@b?65@=qsaadbuY0<ZXZ@IA&hjqd_QzVZGBRl2
zF}4JaZPK9Zi6P*d>$av$P7@!nkN4E|r*-`>`mGMqE4l{i2wQN_y)-m#?Y`u|Th|;M
zgiO4P+#pxO!b3S1!l%Ty6T4p57weO2+Da@vw>BXHM_*u9@S<aovqJEZrH+ZQPss*c
z>q(GNJwFN+^>)j%nkp|esS0p9Hx+q<;>=7w_RVYL8Su@%tfs`<yIDZSBlTfr=Ci-}
zV#Uid@{WtWo0l>J1vK=>PS80s6QmlI;JSC3PN@Z6>wO!`s6N7J(DwvR=*jQP%+9p$
znb+6a##bPwDb?_&BYW?wpcTa+u9Z%rlxxMAofT4LGKu6FF51*87HTz?v@`d}3w=t-
zVO$%c93OiW1NU-f!Ej3!W#Ke8=U$RV>GYDEW#F4AJJCZwrEVFrcTamKN|SuUqV^22
zqbA(61g65U$276gd^FCq8ndd$@?J&9e#%G`gZ2W~!bE|c*RckJ^gGGwbUzWI;Y3T?
z@)T6;1Z_MOQFRNB(<h|0ezu3H)kJRKH&T4`)=c&;NyUcsB{Sg>sLFcz0=6HV{U=QC
z=5T{uM#1HC{TN6!x>w~wf@V>#FD@%Au}|ShHU$ZB<5-bo>C!=Xjqn+0#x8^9K}cgP
z?(peeQ^N@=xqz-P)mUd4z{z{J$920^j>3Gc?%@=(SWX+ka-VTHin~dX=8h$vV;g=5
zvc$u0!hX^ZlEkTMDdwCBg3HO3mM?T#W^bz@1ur6~Tmn+pX5QQp#DwuhrNuj9Q!1$$
zVj5d4(iYi!%}zImr&IxW7vwN_26}CZ2U&0?c!~2_+=A0Gjj67(jPEl|cR!Eug``Hy
zca#ydO4lr8{Ft>fXs9Y%%GMp7IG;8{jAknB1b$#buuL^gl>Cr0@g-fxuO^%moM+lV
za`4W2=M5yq4Udwh;QNcw<I8(*;xrFS_|m+ent(`An=Kvmz~7=Qznu@!ic|Lwo##r|
z9;b$Pp}6_LGcJ)2%It{r^idT2tsoyksC>SU$V_d?Js*`t9#?$BeIpE)!tEpz$x%mG
zX}TzoQ8jdXfyyU$yD@2_Rm3Kpy1fp98cU?wU+d@SH#p}6RfH8$_=9RKh3Vsatad3E
zNh&7Nv{lpfNtL3pwjCQ!jNpCjp~59l;m!2;&1R2#bOW48yZgM(QJ$0JvwgEY=Dpsf
z;{pY>{3)>uDqP5Y&HZ4O!*M{&-P~ut8S$FeV~4wWl981*Uaf137_ukWeqyyJMwou|
zdtU9I)b*@!c)2Vbfy^B)$<QZYF!$4xKgG_O$2YSCI|Sg5e)Er+G4$B#N4+j%q(X7q
zdUURmUumf<8#|#N#`=tKT7(OIl%X-6^l9tOAG!5)EUms@lRQXMSG&hB^aD}APdmSE
ziLGBH^c3ivVvVy@Jp;Z(EkXk%p;CFeduL@qL9w>pR>+(Hl2LKAU$8GVhbo~SJ+B8)
zW17W&@Uh?vs;B0R*DG^v%Q$p@gnHad=B<AA@is?}-z0xyW!8d5nA;EROIlxr(i6q{
zD0)+6mCMamzA=j+Fi)(vnS^%U(}JjRL_j6rn~od*g`4qZd<tgw6P8g>8<g+tpodJX
zz%t9{ZB^p?Svx1x#u&Lsx4r2rzCoc;r=76rx<(`B`C~syzwUNS9}-%JL!B$qDe9I6
z(%rq}i!lg_)I^z&nM1A>#J9Fszps+;3#XWA$L4uOz8}ql+>{8yT1o}3fgzpy+1rom
z4L<!8rfrmuX>LFwzlnA{w^r~=GNsne1O~VJU#Mt2m*vcUlWHw>($)mNC+lple8kry
zxQF-#f{+Y+S%!?EE*lXHn?xlW2h^2=b{^OXKY#stvF3$sbG3}bQC0&2U(r-}*RXuw
zOI}cvBLkocR~n=qDOKj>MG|*5`L)uQ`FfU#poIg1NKl!Dw$8=kr+*<Tg>TLLPI`$>
zRxax-E#VEojJv?|R&(}6waPz4e`rDb8M_7dlb;Z=GTs>Q(tGMC5k#~+Ran%FXNZnd
zEl&@C<P;L}HaUGimSKKzqNbmXd;!<lCs%;_G!f0MT|ih}q1vCYxfNwbu0OdIrO+(G
zeX9g320ey}83lWNdj=HTis$K^5e_fzc|@OU583)@q8u7{Jcvvyb3J7+T$cZ$wcoJm
zAODV3qarkyA42_iFE1cpeeXL!dvLXe;UN_}Ao!l)?_>nofAi&^PTZ&3K>zihq6Rjr
z3u1V$1(Qa5sCKF@4~(i73mIJMfAufTUZ><rl|d~BqRj-mu`=&MFZBI!mcbrcZB?!H
z35q&8NI&pKqP!l)ICF#&okS0-a%pbO8y7wD_|o#h0m?Jud}TxO=?h!Fut$9S^==D@
z3Cn}0rHgExjc`uu5>OB`Y6@uU`DQwMxNdHxO`*f@d>!PN2!aI7OlUS63HbxBh^Ac|
zdfM53nc0Rd;p*3pNb^l3l@!&F&u53v`W5^y!rn5d4YrT+hEhtQxH}Y=0>v#rDGmjS
zyF-!S?ox^cE8Yext_e^GQrx|`JHg!vdT;LM+1+_(_np}fnN0E_lMl&t{pFnB*~Af-
zSG{fczQj|RfbPM}F6BiDei^3tf&MFhPG3ty4_#e*Xp5-d4KQ9`h5o?&^Lnso<*?Ku
zd;_+!xfJ5$$0w{V`Y~}#aJ*E<;jwrqb#a2W#;ah-xEKJ7Z{~|5(56zJhTmCEzYl-t
zs(y>uU61`<EQN2-=!{B;9U``17M(-oh5cu=`1Rkw36=Cp;h4-K*70<?*(11Rt+ZHJ
zR-<UeJ@X?t?dvc@L~xXgGBk&2681*d*JVAO@AXh)xg<_|1DL8buhHP8dycRz@nTAB
z%cmwAQqPhizujIFPW9woD3ph`Yn_|ah6(jf?^g_R6NLYG_#IJVL0huHSqc_R`eETQ
zKeHiFMYU&RhH#Ndf66@K5~L#-^8vn_D|5~?^!qE1H1XjCy&HhOws}b_O49jAekRx+
z_DEs-f}UuodCOdsrTO4~aY{3{c^qLsIHab_3sBe)mm;*^ob+127wvM>Jr)pGQRR9^
zN<Vwh?42}Q$5ttt4RPmoZ(}~Qrc8|7o_x1$^fE=t2XwjisykrgVJQ)BZGbhvW`(+~
z;#t+7yCHvd4H4P3&5dQyrR4dSFF+5YsuME*DBV0QpL)5!gZB<#z*;K7t3sfvo4<Y?
zgeQZpx1ghTPeU&%fKP572O66aTypx9`f=i~<P{%Ir4-i0Xkc6(o46946-8M^kF~1;
z;jt`MTc~B0HVJ(K9&sIIX7h5hCqwm&dL;CFZQ^g`c^j+Hw(C6t<yv`Ylza66Lkrzz
zaE4bY4xrc7GE^C@lm<8+$PSeR&)$&nxkRMC-jZmo*gKn2%ks;qybJUuX%g+EnIZO~
zpq?<v08r_(<8ZO?tN%(+?=N|x<T0K@uUBxa>9~PD^oJu~L)@?$|1A?xIILg*l-EV%
z2liq)oMm!@3n&)|V_f#1B7MFE5Z<gURJqWACQKEY=FtI)7X{kyq`Br`z(vMh=N`5#
zt$BN5>F>p4@vZh<hwODwbqHZ$5+hNk;48SMg!G_gki900$Fm@F3l8U3bYn}B`qaUj
zDs{ZDY`e==f-$jj?p_KmY~zNN>(UVeietlM*<P&gB>oo;b)Pwh+~pUCMEr(IYGVaF
zlmWd=pCr}kwFd6W4;T1sX56#O8_oEPt(*fW`?QOWC2~KjtNg}y<p}U=$;TBfHvVAY
z=v8)HX)<6-$K^TMshh2CYssv`w%j5W7!I(VEKJ~~T-WBHu|~oB?papoMoAc;x1{;a
zUdAbrLv?W3rne)4f3=pU*3FiYpBi4ILLKiV{9*NL!8FB2q%#Wnmfn!n`DEsH@zc~y
z_k_kw;v^TwyiOlQ0BHA_@lmV>k+czWHCSKS$VL3kJx+{rY04REk)gr~XST9!%MCUt
zxXD_ppy}-+CElWX4%B|idbA7_+%%EgeW1K<$&67T82I_ny%uKX6No(*NLJ;Gl-zfv
z7%8FkVahVPXZe(`kv^mQ0^xd*bZX}~sp{NQNR1%X_<gt;PDr;{pzIU4#lIn#dKS8S
zwr?5O?9CiHrWy_jz|XR!QgIWwjk#_=u2?TbF6Ftr*M@PpTI99i61>kO7bTBG!AEwc
zug+5jgz6Z}?kTUO5O%FVt+VZ$w6dp!J(V}I!~UzXQH*px;Je`s;hs$O@HWizm6;Lx
z!i*(Z0wH(Y6LjLKEpU(m>qy$zL{(I}da>`9CC>B=z6RRj>R`@A1aDo8GeChFJ@iiG
zX+v^;r;TkcWW9ivbFPv|<t!v3+sItjwJ7ld+OUr7PLVgS*^ASj`co(Ge^7YS&l9Y)
zo~9W=eF9wEeys$!v%f_{5_H?R5c{QjZTRC9#{yg%l7E$Wws%i?Np3QZp3c0x*Q>%H
z0-1tl@7eeUUJ18}BA4)w?30fegyirC)rU*2=>qP)R)VF!%<6;HuABh*x9Tg=`MH`D
zHr}?_D6B=2<lFJn)#4JWDlX(w;`r`-{JJl>-l8U~`&%|@wnY}MDkc$g#244@Mt8cm
zIFsbPE1vlPU=u{|?&tdoNk8ILGO)vrfsBV56Z+3!g1&YMc8(dgFek5}N9whzF+|EP
z6VoCp>)((=1ipT<O_|pjCi6-~?YI)O{}rbQ#pjtVZ1`aFWgX1T1mifYiJF9F+Kr{I
z1gB*@kcS~hG_Oh$?_VoDaq9J;w%2k$VXHn?u-@=c1=BgmJm(XJC|{kKC?#Dnqd|yq
zVF&og2|zI_(#nYXsbq=`<zE?vT8JGT2HuVO^?&8k*#DsPN&AXFP5nojx4pr<RLDA8
z9jJ7+;`O9+f-@}lGMrGpz1QfO2&wh}gc#0OeJx!qJ+do=*KF24N=?;edvDH?B%?24
zJ66i6-Fw3d6R(VlniEAAgbfcKgA-lK>@zqDEK-K8*1!=_lCVp}f-;Fv>lkEs``F&4
z<}V)6sI$=O{4m9y!7DkB5T_uv1HHxIJjxjIp$X#`jqnmF<tuNL@TC4$U!GnFa$xQY
zrF&)Pn*RwdoZ%oE!$0}^*YtMz_?1Lf(X^@p{7WrdbWZln=FhSjYW>b#)XApAp_c4Z
z4t)BjON&97@xkrsCEwjQd8E<$Pa;Mj&14HvA*3EW_OcL-seGP$Ww0VW-M@0NZbGKC
z8bmN)kv01}OYnw!pg~d&h*O6U-QX0d=T3C)@bSV9G3+>JJ(^jUA}st0mye<86YdjA
zGAS@P{4T=onVhhZLBjf|9@0wUUY^ES{<9FM<m9m{VRRGJj4)_}e{4{-mBZj$P~+PO
zSrA-)lsHQaeGDn~o1JB$`tfW4$sX{O{HB+GFn2%t4Yg3;ME{tfC3chb>!b8~_9w(x
z_qIi{RL;pF!NpLkI>{2npNZ{M7?)mZcEV`8trQNKcRbWWch~Y$2i|N`EB`ukQCoAV
zoNeWSn7^xcVGG^g=G+&DbI)RD$88lZ!Jrh}&pa!PU!}yp+X+`}zEXmbaf!L>#p!CK
z!bi!tK4tsIWM%Jm0w3^e^?m#9DW<n53dt+!@DU2VTv$uO@l4sVc&RKKi0_<>3g4Wl
z!}$kA``#ZXX$@`+vsD&?-gw3(b-qXg$XYOMmzGbLiL~PSs7^e;U$Q@wdsR`SMEL9V
zD3x_$u!B*M51cfIlA^9v=sY!d75ahk5}GJ~zFJabylChk^pTV2I@s0m3CG{s9aF<V
zO$HluJ3ZaHU2Z$517T}3m{N$rLl&h(0zX5i0qi8xjv_)(R61j@fux9Uu9{8qL#I!y
zvl>N#c~9_**1EWBisBy=kyvq`x1A%U^oxLEwy~zc<8GsPr-57*9PHT2eIETA#(x_g
z4EHFFQ!+p|6NWq~V=%YNEw|fX*p)?nOe7XN?T@N=h`Y0TDJowf-%2Nj2S<fKTNhEt
zUSm^XPr1dP?sGtcF=Bf|B0!~Pu9D{yWgR)c+}7_%y57a+APhKOgxB8p-U?~zA~e3C
zC8=z;RSJZ~zc{Y^HQgFm(@d43;><Xi@wo{Bf?|WJS=^>^;&`Mq{2l%aHPI?@fq3$|
zoZShVlp=v+&xCR*Dmx;va-h(s{!sL;ka#o7(J*Q=Bf1BNcDQMP$AdUR$QRUK%!Ie7
zh_JX4)cFU+Hi&45Bg3bBzJtM|H}F1!Z2AUVGLe%KgkD_XXqh$vcm82vj1m1Pu}K9?
z7Et-_^x>t8<9F%G9t57(i+65_Tup6_P{7W5u-9vZ%;qpAg=33_do^t=w|-*3;LJyd
zIB3!BPo3_rO2@4Lp00mTs8)d9ABS}#Ag6hE!on{;xh0u~g`2Uh`l4;JBm#V9b2tnr
z>3+mm!AYik-H{lN+1jFb<uR?ARvkz3Prf*axhAZn%BB=aBa-xTwF8HddxnIx&9$?n
zM`Qg#F_N&3WA@#v;_h>o{@I#4AJdoV2B{l4!Xi>?oC<XO;RhajQ+GLG@L!axbPzXI
zuCAL?<A#`L(F49;;o4`xMYdwXic{{neaHbR!gSHAe!6u6M#Ut-l*}!a?SDlXCrCD3
zar3CIxH#V__)a8_cZ?Nu$#{O-EtAgQ*Se5`q6-SNKMN?8T6&Kn@8@t_Vxko|@K>MX
zX7=4Ni0H5VKB;sEOSPlqTZHL7bCO_%N&H%nC#5bd|G<y*PZrUAYH%8^!>6%>Yt05u
zE*T(or>koKsKHINPBomopF~&G+?JjAU^M5~v>u^L22h0FRkVyKE}v-SXXr{|7kGoo
z=Jjhh*wee{OhHu8!N@k!xY7>}p5)XXS+t4uO&5uR2yVx^X?73{mXabE@G(X(ly_W&
zRhbeQ72B*lO=oTq4yol@pJM?IAdR%Yu#f7OF4)Kq1WMOLVo)6F|6!Vt^V?!eO>QCG
z@AY(*+vyuof(ClpYnFVew3pY)YG7<iS5S=|$I4&dR-}7>sHwsp(fRH*wYgT#hP7&k
z+hmKJ3U1ygX28IKduAGVToKDy^b6hl>xzIhH9mA(S@`I3Q!j7HC3VUi(n8QLF97E>
zsr@<OROgUxx~1bc29D4PE9blW`iWhFy?&qRx0B2zC1@dwVMQnk3(x&I)4JXMol+Ml
z4^kZ>g#lWzQ;kUX$Z#&MfuYn^SW)zgRQ>1~;(jc>wl7YL7Vy<nvBsT$0n1OIKhSAN
z(!b%2h9vmk^r{m>Fh*Jr!D95S@hY(sZ{H>eT|t9yyXyU)3tW7>Rs3)oUj&==LDZ$d
z+kZ6gic;xCXb$y<jjA<yTa?b)yA6-xZvAaqLKDhE=_cFU&(@CMg}F#D7vv=MH^M>Z
zGM$Bv<sYPFEJ%D4=L-*>op8pb&1QY{K!;C97579-5X3k3Lt>Ai_UDzQPiqH6rwm92
zj=h?PQ)Bp)N6Xn*=NLM|OGtlD_dC9?1-=x-Ngu(`FE<T!f#{^|e8$=hyCU&k`kOqt
z_LX9sA5XbnSE=3Gy0e#6)NnMeh)E6igrr$#$q6tbGq7S0ahUJEra1t9;r$Nnr@c<T
ze4*0F00Lld;ijhlWsJkVTuk@N@F3)C<=`|JN%=8!hGE#eYKT(XH%GDROY)Ir$t^64
z9isj_^C#{Ovi&3B=*E_zLXj-a42ShMWq65;qsS8pa@F~H(1&D9#_lD34pleKnq~<4
zo*iDL+#A_jW((3taF<{&BTH7PAS}+WZSV>@oxTyYt1-peP}~WX4{q`!vKO|`%4Kg)
z`}`D#i>z)Go^!XJQ~$tfoFwl;J1#Qsv_dSAzE9Fq&3{m;kb?;SAKb<6lHY!L<%i9-
zepHx1S`z+0wuH4s;*h=%2xOgOX7KOif&3qoxPSK`|5cd`BUL6C>SYk<O#Ft_9a{f2
zM7*N$-R31XlYWYnUjlj{y4-0qv3o92UDN560C>J36G)%waP8<_8N`WPP1Pz{Ic8Zz
zxdt6ppJT+-wZ8cj(0tff5N=PO(pklh2r3h*VW|kBmefh>dB}4)#kLaMwJKdrtP8>m
z;4Gca7N`?!v4T`ZJqiZ}ssVn);z2pbq-@vln(fJgS=*?tX$-a4y${O9@g`xxQfg<9
zfY#T&J{wB3k$+sGZrDo@;z|vPCzWqzTOuA>#FJM)-KXSRMX-+RvPSU=%w6s>4QZW`
zRD{rj{_3)#u<!hSWGEM~_9DL|uUGf);}}m$LB#*&*HGm%lATmOh%R8N=_nS;bL5t5
z&&lzlAlL<;^DHLzWKi-%ZYIp`DAMY7&bz*@Qs5Xa`3bkTU@XW491YV^w_|D%acOJJ
zI^+`8Ihh(%>YgxzG3DLiFZIlDs|tM+*d6o!d_81`P3Y6|nq|-OnXRpH7!5KmEBh|0
zDOD9dV?MH<ONLh%I^1gUefS3@SjZ~3uU&nU8?$RmK%($mD7(&N;ciu?7m;<)&I}OW
zZmX)9d}Oi@BsnKDIjdqA9BgVZK5GKN&jk;_bt<$?7QE!5^f14iCX~9TU!Hze%!YQ#
zZFs9B2eiyD1nV;aOre|Y?B#bQ6g~<EGlF_TwJNij6w9C>dHb1Nm=o5X&NKvlB`XQO
z(@$qOH09i)#N23<c~b{^R~~(yT#zT&ZeYsLW~4$Gx~Zhri`FDK_pxOksz?p1zB*{L
zXXN}e2T<|}a1$&py<Ga}{Vf%n7uq(ri8F$9@p}#eX2>leot3RbYN|ZyAY$6BdvKcq
z42ejwQx!MdWxBZ6GPILC+?4rCAn-uJl$sFO%Ym-G;X+~Tz_()L;95xbT9|{CIYJu?
z;{&>f<a?EPre3K2i#gq_RJy*lA5aka8c^e-!@yQWdLQvpWM$qt?NAU}@B72*f|VYt
z!HDTiK^jG9mGZRZOr^!2h;Swl9?9q)En739$b;I)+r{YxySYv^-orbI!|b!f=uE})
zncFC}-q0p?(xX)9qc_1!$ua3Zxj8RxYHR9!PJtY`=uWs9<3Z2|pI;Mlq%R_y+(_Df
ziYsrBIg6GDQ=d1_+yC(@O8cP*SDkwqX9ey@B(W^L)=4}Wj_;sV{bE0tGVE|env`3=
z%)Ou89!kr(+7)~dCFRl6E3H>CaHG(=e|vV|T?W8~#)*Yz1!zBzA-7L{Az>RKXg`ik
z{a9hC+l%t7K+5ZvUP)-|*d=)+d-86jO~0-ry<rp^+xFDC2@nfA1{S7w>c)C+gfg96
zdAV9#o-aVBj~=~swyTX_Jxo{W*5B_YAAAnMvv+Pb?R%v)O-y3;j4y>ZlwhRVKyh3T
z+aFC3y6p9=`{~dsck{E4E<70DKDIuIfNATZ`+i2eJxr1;XG;~mb}_t@K(YIN&fi^e
zm-w_f!9%IQCJx#*u}c<$>N&qar#i!PwGc2!oRvE!_;GhVy@K=;EzfjMc$(#K;<hPt
zlC*#S!}qPNowRse$p()Ru17q0rbV@H-@3UQQeA^ZxU?CR<%BZJbutA|;&_}nKp~^o
z%E4o=R>x@7Ee$cv)i1dK<j*3jC(|@fnQoilLf3^pDZ^$~kR<)WG1v@mag`<5I;KPF
zZ!1MAr`tdo7xMz!;AZP5bah*;v}WU7NQ~CZltPwN5AtX=U<aF_H_FlRDxuPA&A~^i
zWz`=U4b%1A0kvWGdKGs`%7xbE_cK&A1c}3_AspBIib_+)wSPqSHrdP!bw$T;5l|^Y
z1E$e81_Mv@nURkbPWlmjzEugq!oIcoXTp84_QzE_7bqBm*dOEIae6at*mI2M>XDU#
z<n!-y-m6Ij%w@!Ms=SfUMmmt<taNm;z=n)=&K4KpVf*S9LlLG9z4cCcEAbsO%_`E2
zcU7Uh-#KH!g96v`AhG3N2YNuMmy?yT=tFh3Xc7*+LvNxOB>M^;#1tr)P8@AXaMjc<
z*f}YMrFXv_i@vlK%qFQOz2Lv>S7vPD#vJ@C6*UVT(K}N3wOQ<>KP&#T{+!V;3%`&y
zGLJ8?vCmC?YDcL+{5;f6cCU<eAlNXiCbfZ{DQCXSvcVp2_|m7$GI5OB?Nl#Ku7w2<
zAz9ax6u(JQ8!pqF@PyXMWMhpnJ~y<=bQTOdLxPMqxX!+mJ3mUi%W=Gyjl((yWaqcR
zrYp5R*W1~ciIQ7Hih*{y+bH&?e&pDhY#Ik|WTpOt(&n#Qw>@xTx~slHV||!ISKVqi
z!sGVZ{hKF~Cxi|2t2|HmsW!x#w5BJCULW5H3qxA>Bvu7Y%o8vp%38{WDL16}h{FHb
zRQ8kuWm(79ooa-B9T%vHy4#!Fcr|M4?ET96*+Lv;8S_}Zp$^Or=m*f|mn2KQT?o4i
z!jTnZv1CB0rQ0l_L8;~;eAP{jMXAB9PqVP4Yg%A8UhN&Ue1YMRzG}eA5#8+Drz*@^
zeWD92A*_E)W2s#HQNjeL^6MySe?bm_R5VZPaN4(o_Lq?0=*!)mBq_eFR&a<OyNS+<
zyo+-9*4LmB-qmnf9tLLR5W5F`Zv;bn!WEn7u14F_=xSX1yH`{sg4bBDie`zkvG&kX
zwt2@&h}Y&Do|RS$QpT2$MwJ8eKPilRhW`<uPSGRjRG<FqApc*Qh>#0cQ(Pn^>c5Hz
z45T6gef{)S)xv1qJRldTirK=Wo1V)Fp8UNmx6W!uQ}7w?!DC?>u_5Uh{S2dv4-_Yh
zc@z#P876mQphi1fY@<+;Z(VbrxR^^YZ&eRBRGnGAa1fdjYXFCAgWbYR!_G4M4CQM|
zdW-gXktCqV-DB`xi|9IVX)OF!l5QG8HWp(_uF-EUB6w-r?Lw}47S#(*&j@fFG5nbM
z;V-T)q{fp}=vx5}yk>vB;(-Hv6wu!H#08UzS_GB7O%jd^(9P(Ad`4=iCr;2XSnx4v
z7w9IlH)9LRd|zF_zf1|{1(nq6wg}&7pRfGQe7Q<ByEbf(MBM%S!)HrQmsIs#dmA8b
zHZ%qU?L_fjIXBbCs$}KB$qVEoAXh-o6C#-Ixu!aI{QCy<ERRr8hBkjh+JnNuBF_4h
zK%?Ye3si$GQ>7{emcet;QJtu+ih;YwIf3qN0aHf8W1?(C$~m6t8D7sra}Ne<^zANr
zl_VnS+)M`%_r2(hJnoFN_Bz|e7?D|3m_fg6qUinWO_=G^S>lbOkrEOn*Q0?Up-X*^
zn7eXPKXNAQ((Hj-ki~%Zg5Rj_EUU*<$h={xz6erhM~JV}=$;x^&!X2nU~9(z_19aT
zh)<$Nu|g|yzwb-5&9~>3ws|3q?-n5q8b3FSfdsN{9LCF^Xi&Q;H0SJ+Ab1FOuNzZH
zD@F|*Gm;+kaJRI7zmu9-KUsy`<rn}Gq0i&>dkJ~(xNe2Sw*Eo6Kb!#=U}WYm<72W3
zzYv@I8HhgN3=_RpCwJh`g=>DlqfbZ*4|}Yb=Uyih`rWr2X{<LqmmIIy>nRB}(*Kgd
zmaE?IolshOutFz(L!Ptvhe3nDC%tP(PTH`R(t9IR5emV-eFX+{fgMYb<Hnm6J%Eab
zU|ZVTsM8!iac$&3Uj>Jc*i;4QsK1OA-1v~R!`$3VsjVSrQ6CW@I4y<L7T1($sDGi#
zI^K;CGNW3NM3T06C;20+PK`5tRpI9=_06T-)anhxYjo$rxAFeoocuk8<}(6=Rxc~U
zniQ`|_NMw~RThK`M0O)eMvuA51;R$TtPn<;K{B7@GGl*)_^=^s7avI6P9rNBg@Bjb
z3X-6f$rwFeON~0nQsi)?GbWDsQ_Z)Jv?w12UUNtQ&ALKxVKk0ywL*mx>Be%{GALHF
zwJg;k)V`_4ij7l_F|R|~uJ@&|c~EOxf3GweDQgGda_(0{IWm3&wRYVuvO;|8MVDw~
zMw5etp3-<2nO%LC#R*KL!mii&HsOliYs`(<cxI_r&pJ||Hk$oawp3$D1P`$VOH4H5
z1yoA)EV6Z7QPALM+i1tBGLe=00|2y`K*^huYLc?&s@uykJ()b?CC)?5YouSZJV%DF
z>+)l>L6FN4xJp;s$Y?#^6D^O`;NOXXA$a;(Rhq?5btOev%K={EA6I%H#bHmMwHY_}
z;oF`aLk2z4^}P>9aZlh^Bm)~e?T@mF0zfGK$8s2=l2@DU+&hkm$}t%Ub*M1cegPDQ
z$P|i>BG<PbkEU14Y&7;GdUm6n^RHgr)v9Nt)7EuWG*k(c&m(>IRj^zht}8N*<-4_;
z-w0!HeRLZ$44vm)q(0AiRr|In@Qe!nbQ&R-kXuT`9S5m~`o*$B0-}z2;n4zSuT+ZV
z59W|y!)DCs2mp~8`JVSzE@j`T6Vw4o*tGy~s@KMgP22RE$4`p8zaVV5T!l!j0Kp+?
zmg{kiq1;wGC-8&&YX95KWvR8>Dnt$lkP5T`BL4@WQZ$xlHr3;>{H|edi$(zQbiD3M
zgDxPVWD@TCY`~a$9Prk_7EuSN9oWh>?Y&Mmdx50iXl1i<1da}4GbbZ&x9x1Y51*pU
zV-GFNq`<r%G;o<oJ(cbVZ&d;uyHT-;ymaS4kIPAoXesoTXx1K@r8aU5|CH!xP5pE*
z`5-il5)M+u(%*#*s{f!<Zr}9-4Sb+JSLJ#&**GjKhppo}#72>=$fh(ZYWYrnWZhlP
zI9-$we*!A9Q^wNwIa#QIo@bqd-Qa{-=b^Zg<CUw*Nr*p_4l836%|2%y4%*SvXK{Z}
z`U~q%Jj2JI&_5^dZudE~kQoI1TDOgxntlTmD?U2I&``m-Oa5HG?60k<-%{{4lxuKQ
z$=(S+O&go<_PPROKmQtrC!o}ExL7iEF5vjOC%gn^+|s};F9uFno&F$fi}QGBqc-+=
zdaMZq^r5v_j%Z>j1Rsc`qQhxk7yiNFzF5yyPEeGtU&I*U#9X{b{V-tLh<oA&u3`SM
z&?t0tTdtm!6lV#$Dkkb9$k?XY=aTW@mbcR{-B$y#S~OzsHdPpwzfEO`3($6L{y0z-
zpIxIU$7LvN!hIgIF5C00eL7#ayRlQKZq_jP#4%gN5zlhfNN)E7{gI>U$W-W2V!Bll
zdD~X0U`%WN?`|6d*==|H>j7g=y|+PfL_?1My+zUfy+wm8%vhhtb1z)~17iFK#jvZP
zqXTK({0C)#K?>qH%kwS4^It*>vc-Pr(=gI#PE`M$zWL#kT~X$XHs<rhm_Tu_^Q?n+
zX!=dvaaI^5g10ZvxJG!0;wrGI=LYEr+er6UU!BJ;ACRuuPh68pwf4WSx!3zb(kriQ
zq6RV}tl1Z9Yc6(Z!)!CcoK>8h4@KR=)=NX!Zh(CIH=L77^#_~;n<d6vTwACk0hAjs
z6GO8|vEnjEZb~O1Bg=92T~~{aD(|NpZn@Jg2(3BFYTW$QUA(VIIUWYCodlKS(i@{i
zO`jFM#O|s%b~m0!#%I>PTxj=0`)Xi?kjMZO2v_eytpef$>o-~IHL(XO25Cn9Z4-h?
z_j1G=IDMQMo2ZLM%s9)C8iv#}jGhpT$cBmQXs>MX@6`@8QN<rd0qu0}Xk1((a+&^Q
zA(nBlgLrHWg%yD7xsf>}^|iHaH8s%##59Oq!9AHb5olqHZJtvtUgw;hK6vP3-_~<h
zb-R8nA7d<mS5tb-NCV|Z>cN7M@f74M{54V<vrXs0Yh)UKVJdg^_L1G1-O?XZHC1ZX
z9+l70qav>u{er}#i5)SQ{i@y(9GKPNHW0l}9_|uKpaNo3C5r_UH%Oria_+Cs04yp;
zD~6a}8txMCtn-3zgT&R4whqRxv&3JSQC>=i8DFHb$+0;+WGfZ+PF230dY1=lkf!Ek
z)A=lh!qM$1P)B)5v$R9IE3xrtbO8Q_`eVBR1(*l*Bmi!X3!AIZsr&EM<^T=LPo4&1
z*&WXA7CrY~sZGjBZ&cLy70Ryl<i6c)+^oy?VaK?xqRQBeKC?|ohychg4zrxT_g?le
z8qWjB8q>q%bvWcRRdYram52vQl;C=r@4M-3!OYnf^0wwL;<CWoZpq#?zmr$De)b!F
z+M3I<_i1B2UyIwVpQ2u{JBy=;e(29hYlbWWbMamb9J4gM?6(_0$$J#nD|^b+k&~>v
zY_DTyzo@M!v}h#I&mlj5JIDBw`|ShQmTF|w(ro=8JO|ycwuHldJAF5gGAYY1-#v-w
z7osrFyne1F?#AI@+UMBdPg{x;)aXw0J+`Qx)+PHjNt#Om(DhgNg90zlish@LV4cEb
zu$tP)s4xv_zlL#c4;_*IJ|)iLp!>_-_XJcsJ9z<gBr@U*E8Xw#I=^hB2AJ#WG;}q#
zc$5aE`x)8Pe(~!Z^gaX~cUf3)lnw5|L~BH%)NtlAyChla61#P0XEB*)ma2G5huI}z
z`?)xQ{M_NiDiQ+>C&!NqsC)c|retT_DI4N8prHkwnvrid@t%yJ8xj#M_w9qgK1LFb
zeb(w9TjTP+0Fa^hOct5QKPVK2y-v=>0<Vp?*1e#T&1Td{gm|5q;bz4`cXNld9P!UV
z=yz%n0elao9Q)u@l$M;jBSMj4XU0Rtzssl}-XyCEAFB0{u@u(7VL9`MgHXQZh!j&O
zz0@9~koo#SGEEH=u+)$sOJ60k7;F3nKa#x>PW-9sHCSOo+j?sL+h^2{Qm@yNQx*bh
zm`eC%{f)&feTmU+yoYdPhl|ex)s^?PkkmHMc_p^la{9>%FS-cD#zgc68rAm)ut*0I
zoF`BOiT>y-Om-W!M0hiSNmH|i`gd4i{*630j@+CCTw2EU*HVh#-kPkJYUu)3+xNUl
zlhEUos8HZZW_E$Zb6kS$DEeGg0~WN#6X6pTn*nkJJUA))rehBP-_9!@BFPj{g2mM`
z3&#2v)f81fI%c+=aZdcH)xX}<>DZkT9k9Q>uy(}hE*&V36apLLVwTU*a!heqs{mu?
z;n`zDMUko|+$S4J!Qb=>uWh%T^!@EGFuiw^RGX`<6BGbYu`pe8u-;0a0)%Vnlcif+
z9tmFq*N~EN?<CZ~+`PqnHdV$Q1LM0pkgtz4p3e1DH*S<TK-+3H)q6bh=*Uy3Lu56}
zZ2(EKC?(g=(_E?$R&B=@vbMT{V4gCjMrgmxiTqPgKJHVK>EU*{AwRX6yh>5R9I3|9
zbHl*DL(u3Y$aL{Cfv5IsQ>mMZE<;vWvCRRB2tzi&4$_FvyI7p8cudb{teC_OsHMi*
zf*}>ZVA?Q07wi<OZcg(`I-$;kpmLI1F1f))R=u6UckhNTQ9SeneqV}OzM9ZS4woV$
zAfwEXw9R4mgKQknahV%tR`Jw1O{Ikz0eE4o)_cw+kwb$EHA^pDlLczZba_5%)VWq^
zKVnd5SeB2#fr<(}si>|g6~&dH?#b<-`wLgGX&~-pcCQgN*0*_MzEg93w8^GCs=6PA
zi-!2GP+R(qBad~RN-lJUT*YPr(mb(VcRrsMeJ}|{%Lg4f$FVH#S)9&STLClpL_1ir
zUC)2XssBhQ&US`~nr#>dds(Wy1Oc{40h^7qe=-@;i(&*~i*0uQtDLj#?|xE$?n18c
zYf4SXuPQ<hMB*Ezl&c;ngicWoY>T}xMII}rI*l|G?{ULsk$%dnf&W`khnyz-cdq>}
zGa<yz>`nv^BjisA<bO7^?MU;2mJvfuAkw))?}<bw1frY8C;o!PY>r{-Bf6E+hwkb3
zx>0h<gXEkhG$;g4BC`_{B;P-BHJ;^02+B9YGBmu5jf|~=dyjDZ$vVu?fMC3?V;akJ
z(OJdEjyT>1rgPJu=XpA9v<?d>&s*0Obg$dDvi5x8w{+99FvBYK^Z?_Vyy$EIU#d@2
z%ocFM*+AghU5q5Sy+{@uak8vbw2VRXK~v$P>T?Gp7zGXHSA{8W^3Im}?{9!gFF0bf
zFYCO&WEs-+IE2l#Q+L%)@FterR7JdWYw2s7()wH_fVX{B&ZV^YjegW)t=UkF1-nRT
zdaYQ@YJZ|{`kl*FpKN_I-;38v1lN!^CSG!N(hz9FF~tZ=tIE-Y)sx|~c2GLq-A;R&
z!VG(3>F;!)_-g;pcvB_O$i5wQvy~)emupM|O&UJ;{)hF_$8*!H8m17hk5B0AXyc!&
zwe>!l+UvC9F}92Yq)Q!UQ@U-aS@?YTg?u5UExem=zCP?kqRyj_`jft5qt;WXE_y6^
zS985OvdQ&KJ;?d0b^1#nUNaF1iJ2aPePhK^zXVM7@X4Bh%_Wm@wH2+Eq=id$l~thP
zZwQgdo2qYTgI^fKHU30?_So@@x+sd;kR|M|zt#AYbw2qK6?zZSHPNJ-<uLLPmmROX
zdLvk07cC#&h;)Ye*y0=ouzWboS_kETO1PXYd;)R;;JHz^K67tM_dFm)2khvIcV-8i
zLoMp-r!k9hhcAVByXiE~X`0|gL0t0a_7uI6_Hz9B<S|`BpYF6|GC!Yf@$Kil%{l1T
z!TZ6j^e*ujIpcWfB{RIqc6Uj!PQP%x6njMrn|xHR0Xf+!C2y`Uh2?(H_mSZIehy!@
zOMgAfLHNp?DS`LvOn<y*#gIViyEUz)PSGyh$|A3MfZ3+%7cZe4%HP1jv7sreZRIPM
z$Y6@x?qJ%u)%quS_-zKx^9=un*Roz4O?-wrkdzu9o_-4*CWlz43A{bpY_m;^=~ZiK
zJ&r&M>9feN)UN8Z_88O7$Nxc*k3BS2gs$~HF7{qSMQ6O@aDfZmk7%%-_5LZaWrCPC
zGTvpeITqV8k1K9{PBGH__E*EJ)Ea?M+aeT(3$`(VM*8vNghJF07#Br^(G%Hz9Aa1{
z%y8!M=wjlytvO~SmK4^S(CUVf@vi>BjcI_dGzdqhj)T`dcz@bN{?@(Uli6D5E_#e)
zjJY8?(1m0KtTXNJsnI0oo*8R(PLj(~Q02RMvorj$H$K%I&5bXqUBb;2vVnv4Ot8YR
zIzn?4zU%R*&{QQ(7OS21>txId^Q(vPjK=ONZmxDcaFo?J$#$A6lanJ3LuMR)2CY%z
zK%<r56z@l70cAoup$i?(Nmjh0SV5b3A0@NqzWdg~b!!U_r1t#nj6BVLI^&I~uLBKz
zqt(DEUtD+~nicWn^?rKCs8%jk=M1|?C)BFswi=HtEw$Z0VojT(*)9e!TpZ_&HX+XN
z9&qnYSzrZmEp?h{C|3WOTAZL!W^+#}rm&;7L`PNL(B|RiUh#*l_L%GIl+H>Lv0TcG
z<%DE$k<^pd=q6#PHs;E|sVmUFa<CB;WXZheknS9HS}`>E*+ak^-!CtL6X^AhONkZ9
zw1QQE3c=sfrXHfL>NB+(*91qVR2CKn*{`4{{e6;5HMOAGIm0g({i|s{$cg*lM~g{#
zcl}+K722<g`;Yw9+8DIO&8BbHEt^{RCB|~gGBif0Zv8ClFC}EU%qU<~0nMuXM)5)e
z%9%4F7*mWe|JmHlHxg>AZZ1AFopBpqMVNzOmo_KKf6{)24KCwhx5^oeUx}|^&F<Xv
zUDy@H3%?&DBser70d`Gf>NZ{I{EqP$)C$483I-2)Cp4jiuV$D2lE=b$Q5}e0DwK!R
z__mKSf!-v|&*^w<|1kBj!KB<u={0r^?AHBLU##tGycO(~4MjlvyUrlJN0n->Nqxfn
zbQZ?Yg3WBLUOj%Jy-p`C4G?U~-RNm?B(}?=Xw%q%GJI{Bb@>vdqmmU=q<Ya%cDV7o
zd<G(J=cxd9c={0|5KwLOWQw2l<h$8)Yy?lcjXHs_PS@4C6f1TLvk$-UcLPny@t)J;
zj1@88<O0h+mU$6=0{Ng@<N&|=rNYJCixcw_6qGe4nzMXjBpD7v2n1EdRbyqrbIRVA
z*4gu++V0{3dV0W(R<R)kU#C?5_`;+dj!7|w2puex4ixQi>T1?7)1W}>L&^Ty@Zo(6
zMw_yc!$G`A?z$(#6<HjdF3zNmMRn0C)5%~)JIa=Gqu#Qmy3;s$YHRSOv(tKuypol{
zXQU$#8`L!e;Cfk}Vt-y#bi^9y&Hx7=cUsL5=Y789r!Loz5vyBC^lJJdZ&LQ%fuzy)
zOZ?pS5wNd?`Fv#W#-$k1S=ccBHYh*nTMUL(N7aYPM_{q<*M;KRrq5(hc-=GX${n1%
zlTeB<n9LS}GkGTUfVKz*_8e@R6(^*PZJWvoOnNL5f|k0mzqaBCZHCmvH?BXYVJ`Un
zjQbOI%DO_i<vCD(xv#k-w&jd53G-aQc73nW{Hi$lnZF6Snk=*+qpD}!vF(b*ayb#F
zOa*uhph^jel<U>fMBxoepv%1&zytd-&X#9m>UbAJWsCC~b6C3eGaN8DDFz=oN{);>
zkkb3aCn;p#?xd@msoFXw^~W){EB`4@1QAdc@-H&5wQ)lS%R$B4f->tkS9)A*;=|#m
z>HlLQ&hk7C3fcHC61%bjIoDYv`j@=4b^`uS>rRImGC(U;1}X17OMDEQIsiJfy{PKz
zyZM*gN6`Ifi*zLZn>;Z`q$^1fGAN2XWe=mS1-0PDWq94A+Rf-Ave>tRJ{tl~c-^f8
z)Fc)t15#RsJfT-oJ7hav(;9ML{Qiwz_>X4s|L<8rnXSMLGDd?ag1<51A+f)4VH`S4
zPLk(Grd!|wZ50uI+zljYCl%t!kR3mo)>;#twXmyz<1Z4LK%IcbzdB<MtH=aUa+1O(
zo-vZLS>$bVhd=O35&xY7fr3S^k{n59^GsHdGZJg_FUngo)O}UhvcAS@wn@a=fDC89
z*Q-sqf5CDL;ubBse%u=%5)x{ctUr%U^ff>mJA!H_Z{^1>U?TZR)ia#ZZjkz_Sd~6f
z$Yb1JhfR=q`d1nQx)C*zS{IjzX;C4I{FaVNW8w5h%!UW$F6**(y>8V_PzJeU&h?mY
zzsWQ}!mGF_RdM!WuqKT9nM4VPvsT4mc700QC|_a*&P^&Z$0~W{%h)w#w<x#OaFYb<
zosQI^<?k1HRTC&t?q>@4YGmZcBK+Yg&)PV;23a~@E!eiSrvA;-lA<Ts+T2;WGmXAI
z6M&=pap~t!)P=mOs~>c3y3+~bEW!VU7Dt)DtY6LBYv~(lFg^(IIC|aA0lIvP9$f*+
z_nuBIpn>X~XZ?d>UX!e2J|M!-CWnYGfAgfgp768E?mRcvrl|(Z*W<D^_tiJKbNAAg
zknJ-jb0hT5MsPzb8EbcHoBRmCeyQzkn}+zkQ4nDsx2cpx4_U+6hZHR^R3RZRuGi4u
zp@|mhs=J;OSUrHYXU>v34^?4^bB|vM(2l8sMrI$V`9v_6zC;&W5ue-=Oup8jW!bZI
z&>1nv&WG0~1<L#55#S9dqQ^xo3lw~@JSHNttQ~PbyOREGHasBI?|9VDH)gu*TU<Wu
za80H>&VIc2FTX!m%917yzvA9h;OMD|cUmzfjRqM;3GoWwpmnE3m`QM^6}7%sZ(z@E
zkhOnGvQjVUyGK&fcVAKa93Cl2MnRHR25%W(>Za$Gz7EwgA}}sYTE99q((F@9-b$|l
zP^;oO+}+sbBK=WfYhjvh5_LY5TFQ#nj(^aOK`jM(=lTK7nfp#hg;w<oB11Q$UPMbD
z20rN6IR8rEXwk&J1BQ|zw}TZ4shcx`dGPU}{f{MeWsUaU)%NMbFJB{nze;|C>x6xk
zuhY~5Cf{QS!hv&IdzQ%)j3Rv$LJfvvjrLrZur@RQW<VbGSBLohOKsYPomOn7V-2~Z
zzs8@a!jrwtGsLxdMJ3ZX4zT9`ez@1ZIqPL$$KnU29chG8Nt0;$+6_W=WrJ(jN<8sL
zgmN<>Z=2uHODC(lY0!w+e*I8JINu*WTNB(RR=fZ?95g75h6)S^X<F<W^{o?Jz8|b~
zAx97{8Nlqhpe!}%0#fHEOEPZbn}0lwQNyl_G1HaejFZ+T>q?@_7hNZ0cgv!RzLYyG
zG@lI{)XfAk7VA^sEkYRamFZ4x<oQj?rjTJOx_e@J-w~Pue-P2bj(y}1%aKlBY@?D3
z!Nd0>%&FI`<S*KaQ(G&EbG0txOqin}Y^(u<0*+-5wRN+=zViWtwrgOuAJ^R-E+^@i
zbo~M2U6EI<l;pNXD+#;Vy7?tdlyb?|-_LLiR6>todJNUhhP#7fi=+TTTvgycL5mw{
zx?EDCEAXHi;Umq~?Oc+^?$KPc`1|!$?1<Y#@w1M~&3oj57*zIOVr$Vk@%-e;Wd}jS
zMQOVwym@0MUm*agU9tgzUD7<o-tU)q2VwrlyY07Y_kRQNq_)-p|FK71#|IXjKhT|x
zo8rM)?GF*NByF!S8hjO=KkQ!%!t_^(sXXiMX9o}eCFNM{A<wZdjKl4AEl8?JQ}aJ4
zz9C}AEyTPV5}ed{Z>7@Q%<A+WQ!=Y=qb{Lqogo+O_GZ^7xkGiZUkM8#&Hd90`5;cl
z=zpiX|BuJ3E~MQYInep{@YdSH;Dwvxv>5Dz;VnIJak!k2^96=UK2iF)Y!l2=$D6$Q
zyDA{g8Sae$5BH{l^h0ywi(2TZZNdpT{NsT7NDzk=aHpSe@OG}%fS^3AU-<yP5W|?D
zSF@?9ZUVBX$G}Ye<Z!+`u!JEZ0u9*MNmzZ`Ji`sM58RFX68~1>#cl$J@rJ7Cv_GSv
zXOXUP4POx=mD^CUQs6K%0}X5Gec=<3v8#<cWm7$tNUjO?K(d<hKF5ptt2owGW8I+y
zov~~L8SvT|ms9HqZ2HqraEo-J*G>3-P{-Bi(A1fgw5&opP(^07d;2yyD4xnm=<lMR
zEr>XNDcxLDFvUKYd8Q=OPk;07<IYd7O=fL&im_IAU2s;E7Wn;w{9R0yICi$O7jv`X
zP5I}oETRb^pIYGEOEl1q;3;9D_hj)=Ef&Pfzr5YQv5Me;-g$9Ba7TJj`OssJ-FzQb
zHsqUsWAx2}DscU(iV+c0u8I*=Vvv^n$qDBWeB!m6v%O^Q+zK3Rd#k@Pym43L?%mUo
zCebGs{Ih#1Ezp{H^ZKC<K)ss!9wFK&Sh7|o^-UmFCFs?B)sTUY@NE4z(sgGM{3@-(
zWBpYcB!nO#_l>M~cQs)Ur$v%2J7Gw<`fLlekJRkJY|pJf|ADKTluk)h_pyzKx>8Mo
zsIHyft(w2To*wbL5882A)3kUKtLq*;e$;v;d(YGj*aawA?l^uI5H-Ct@sjqWG#C3<
z1sW{vM2TNV;nEi*5EY7%PpHt*tJev^8rnPpY%_{Fok)k#6!chE$}Ocx3<yrG+8UB~
zS|_2Nn$ooUpfv{5j?VmImwQ%vVY)4JIp&~!*4`Sp*f+;t7NeHYTo^xaO>b%ZLO;v0
zvK4v;jk1t%;55<<51z=<G%;2rX23?KqiBCCE|4?$mdA|20o}{lSS0t@<Dd#?+)j+#
znqrFdNyMEeKQ@SG=#-r3DB^gp;c%Pr{bS{F3M}8KrH(mvm;Sb#izw}_A1$l`r)#KL
z|4fc)wg+#;%E|4cGtc-HQ)*gsTIElRMD*WsMoMPR3d+OYcFq~Dz4n=D+BCdIdf~dc
z9+aA`@THGIyUvP5%SC){;If--YkF;h<x@vJ=H_ftn@gdA`O-1sf#^4(V%OzUBZNZT
z8ur3JV3Sz|>S`tYaW-13d+u{LKC4vc#QqW45AqEu`2cHI`JfQWTg5^<Co5a}n$PZ>
z{Q%=4h|^Z*0`bt1f;o==$xjcbkdno*mpKk%IIydE%s+KnZKa5J2cQDeeY-)M>1FOo
zcN{_IsX<2a;sf0s3bF(@ot+<l!WvNYrYv~P^uA^K=Q8VNW~Gh%6rh6*jWR*1lU+Ft
z{|*>-lo2ppGfg}6cnbQ@|3rDYPTL6evpQ6P7WKt_S}~nf@*MuXi#Ci*oPLUZH5TRn
z{l9)v)7c?tjDNYiF3Z*vN8*vuSa<7xaihhQ?q#g(;@|~21G<m@sa#FJ;{P9Kq{h=P
zJ}EmXjHEex<nGZc5OTg=`jiKtYcEF9#jw`U&=w!rJPKK-XGg7lEz;^>3%4GI*JmWb
zLR!e`wU+4uS?h8>E6vP3bl=T6t+(G1U*+E4s&AY6JSdw2B#EkFbnYiNB4&H4{=wmn
z_5NI`n75iFXcrKwTa6VBBRsN|jJ<r&z{Y>cL`cTjznruG*F$D99fWlD13ZwVzw;nq
zw6mC=3%qEwMgJQ5HvM1l@C#NRu=i2GG#OE>iXV$xTD%I~uPV055IZ1_k5PKpm{Rjk
z#vdJXsA?V3$ov*VHMIdelS`~Ph?@o?_8C8s&}`Tp>IChuv7vs!>9EvCDKS0fLYwD&
z`D^(+ibCVmcrLn)9r1DXU`f4c+Nmgg|1s_J`Z_p9<EA2AMW#5yKqCX7F>CMN+J=mS
zC886w=DJlp;!t@q9})`h^;Jl0G0sJE@!W3x!@uvJx@6h^SUaZNY=6Ec+jt%qOv7!s
zok!%C{q;NEb(Jtx#&m_GgW6%<ji0yV*Ajow$ko%wjr3P+KuJ+b)LnU3eRrHM?Xh)6
zOZK!9YAeZ7ZL;Cp_p^qGCHe2K`^uc}#PtYq?JaD?JgM3HR}Weejy{%%ou?_;PYo=!
z%&EMkp=<&kLVC0Rs#~apK=e=3f@ko3`*x`Q;293XX0Kugvv5AHfZ}qq+>9oQlygt1
zxelM@{#I^3z&P(iekvb*+Wwh2lsG-d57$u)<o9&D31`4>IyS*=fY?>o?1b2V(5@d}
z>f<+FZ3wcS9VRqZpqE|l5OU?5>-fTnC*_#G#sv#5CeOm^k<)Nj8oK9^Nk8MuM>x;2
z<+=d|#KZSZ5;CnR=E7%NmOizZ;rS*@Kq<Sfk_$awwT6F;8vQAOCzwI}QHNK`IO^<x
zv!FeSLq45kgXIZf_xHB*CfE@7J!kWT>!qTCbRRHnipdCQk?@|gc)}Xf!EZYfxMkm4
z&X;nSHwQ{dv+MPoo_E}WgCSx>6qfv2b{UwimERuMv!)HBqOXF4?kZ29lk7E(72e3y
zGR+ch72_fD=%t@oeI*Xir5ccPnj@i1pDOTx&u~cg`=7dZ{4KPc;P&&G$QS|F#qzaf
z(ar>+Ev&t7htr8Q3BBs`3b(b(2dkSRD7qr7aoSqP5k7c7azeEYZLV`;9A(E*aD!d_
z%dRRk778_A^kjLy$}W@93xEvlRA>Y=zqk1kO4w*ArYBJ*4Z8@w_RR2kON0h7UtR))
zZLuc6#wZiA?()6L1J9K|L7ceVQYPz?w`x%Rv3g?K{XeW@HO37!VT8@rRpBa`6$s?t
z6*%|aZ6>U5|GA%a+};Sp{(V20Ss90>%5TLSPkgYnoV+7Dofi_!J)-~R<$H_pQ!S(3
z#;tP$pG8<vM8&B4rT|^fjKi3w0VHYs>o;pU4WpU72bc~gBc<1|*8Gst@80!`PKv(=
zuoBsiS@$|GSKQdFZUb~v-S2>7(grhi?DF6>ZxK<o!s6LX2F^XXnaY|hi_|KCv2erm
zVoE2%b<Tdv*9LPdwc!ZLooguyaiFbSHO%icTZQ|C?6OJ*VX^U$i?<icJc(LrT$3E=
z5k5ti&N(++HeH-mR6BnMxQDTqb_ObCr){nON%pY{*Dg-7NhwA-*5zTuKv$nF!;Z^o
ztkS)e<dX&cqHcIm(%@d{>VH+<iJf&h`g)1n<HPu$&6<f*MUhu51CJb1^OaT`s|C4t
z|4IHb?CeYQyY$!=ri)N{AVGo|#im0JpVjwG)A33RgWmk7GWGAl%LlRjo5}S*ef&cq
zbc$w+7+o*_L2*Uy_wRqVeSZ4&)*dMdlEUD~QO-R?Ityt+Z;-Q4Iz&oI6XegvJAe{P
zjNNzgZYwY{1`~6+q!4AUM>|hcwN7JU!kBrk$AF#<5SHwwg-5IWLGnZ8Ds8@1gI2;*
zvD6k?UdX%}-L7eKNyvcY(sNVQMO99_T_RcQNlZSc?5h=JqWiguMZ|h>rb|7&(XiRJ
z_TFd(%}mCFpw!Q$31d%FzCYiwjS{;`Tu4kfYzJOWKVW8I(&&)%wa4$qtuMt*QT4lX
zns=cV%zskVKemH1sMC&=D|cWPJd?iZ#kXhptnMIL^}YuAQFiCk@!?x>S|J;N?>TQ@
z<yQYVN|*#~uJvo?r);5W8X<Q5w>LYBj#x;IvLi@_SmQ>@z2%ZQDiHVj+id0(#Lrb4
z5ec&(I9b2D@M8@!MHopVyX?`tZ<VIWCh7a{%K^<qni{%;2&sx`9NZxgd@O$1X+#FB
zaNYy*{YG%8a&V0%Q<L9Ve}0&FXUUHICV{qt#82P4Woq*qyW#zPfl0E#0H05Hi~_CS
z`mK;}o+8w8DK65H5u2EBWTf?5g_#{L+`phrqy`m`Qpb?-Ow=T`8(na4iStHMjG`en
z%fnbfW=wf;4)D<{dP3Q$zsPd4Rhic<{s#y=^2LPv7~cjggc3}0N!M)_c3;ylcg^m6
zQt1pnkdMUa;q>V210JNIwF+D2z5Rf;_$N;oCo)jUW<8Ne>7DnizsYrd1<{am6~*5L
zA`BD{!`XI>k||FYtb;i*x!#p6pJ$t)t@Jm!kf2D05AMWhhai*KI4AO}UZ>++^VXz`
zwd0fxRjr<9(h2LyBc`mS7YH=*_aarOXSUsD<ZDzxra+~LquFD+pGWU8_RRtU)n<N8
zKC=5#=OxRsm8!D>-1Kv(!?+%$N{UwsKSbsJsuCxPPp8G~bqHe73csJqkQ}&^2ox+e
z^Zf{XV}g6X`1G-;r*g|hbSuFjbq(`6K=ice>*NvnED`?dig*0VlZTn9GU4h*_Gc33
z7OfoFB#$~>!E+rV9kz<%cA}Mn@Dir|S#P^L;of`On7Vi~9b~FUMNwO|;zR)})|yaA
zHvdLL_p$O^ha^kR{p^O9Jyzx0`CTexP@B$RY<Prpq9%v-6r8h;ez%G^hh4Mi;WXyz
z9~6GYjsL;bTZXmOaBbR9oR(53P#lUwaCZt6F9d=Fr?{lJYl}m0DDJKyxI=MwcbDR>
zE!>m)d7t^dnfbl{?&H{NuXSDLNv{PzGiqtcCiaoKU~h)x{7!Nc_8s-lVFTpSg>wqe
z6O|W1yjaDl>Toz#TrpoJL{${bNf;#xeGi`#kV4tZkPhg;?<+h23bVJGb24q9)t;-0
z6jYcdE2JWuyG~8Liv?d1-|ou=LZI?sC`Q};PPX})Etb%36MFMKB+Y-;MFfjZWVM*>
zSjXr+4Al$g52ahLg9LW*1yCc*gMa<V#8kV{4(9~2lqH_{t#E21NtbacqcYNZ-}+jo
z=@_ozt=$qm-<Ji(%OQ{V(i{`%(_-KQxKpm4j-TD`_(@!TY3ct#TL(1@U&NRHb9}0k
zCEC>Z{moK`zct6QX%@{Nf-7n43&!C6e1fc#v!@x&jDiNasf+dJkj*bxi)#)L^nM71
zW&cxCCcf*{JDk;>1S8&6AJAoYmm9W9ft_+XaG2+ZjHQprrCbDK6aS0Ph%5b&f+f<~
zQa_Jg+nY7s6-96TP3;z+Cx)Hoo8&MT94YR*W%ENN>lh{##Tc9AslT+4qGhQo8qct{
zLC5Uz4*l5<MjzQ3*Yq%xhAb=CS|0Z|MmHeFRguwOh0Bv9?v)9)Nv){f3XP~BY!<ad
z%rX}<_*@XAyWF|-!)^-|&_}%K$`!|EO`fY@hbnB$E&JGWt<Ohi>mMZYhyHFzD(`$#
z@~Gy=6nyei5_qv6?)s6t-`mEPdHT3>2Kp3*zv6S-+ZSi)chPbP9zOFjd9fuOjVPzk
z(;NUcEjx&bG?yOnv!6%%`bdqg@H5oo7S1IL@}ixOP%ucnkGK>1uunb<I+8S945gb^
zrn-xaqU9%WKq_;pa4Q=>uz}NM&7Eij6XcV|s6&62c~1vSR#OZ~Cd}8K-)`4n8b_U3
ziqVEy6i>TQNDnxDsB^EYRYC3a-7$>Xiow)<u$wYvsad`COmR~7s^ioT*UVszNgFs2
zZ7fs)`vOJkFSH7GJ`(6gH7>EDV3^ytIXJ7Ydx#iJvYW-IM2nP@znqd^<xjUeILf#v
zW-wCfPzjKCx7m1WxAF`~G@P^2Y0g$K)O^_)>(^?*tjuqXBIREVvZTJP+)<ygy@e>S
zRhsJ1#(oU|_%}b;d*)$eE43wk`sKDPJG?X9b|Q<TLgar#Onx<k_;_*p80U34(kHHd
zxwOHe)?TL#5qbhQSiK)2%xn={-$LK^OWb`SpRPAh@4Krx;%8W1o+7?-B8fr#E>zop
zjOvL-ht$4S(I_byyyDT95tXG)%j&5#V*|XE^;WyH(4-8~*rf%wWhc+)H8oqXX10PQ
zcUoyA1V)hMsMYln$2o2I#(`e3f^H%qIH>yNr8&L~*Np$x;edaLz7L7~&v#j~z9hw3
z;G3|g?Zg&>68P_er)Adn-!wcNh&KD>iReE$fm_u7hXRl&E{-ly#~9e~d|K2|4o?&p
zQ=xv&Z6gJ`@<rME`>(BPr_zGiuJKd{Z10?}BM<6ro*(=%=x+F=t`3I3q7&cqU9TyB
zix*mx$Ku#g8{l&v5j@slNGzOt&2k2lCqA{X8khSrB?0ZLcg@|Sq8Ln2n#wgax0Pb$
za31qAh<$C1DKscU{1-6h$11hpM|%;*9JL(q*2|UfB<V?~k&5e$;~^+@MOUJ!sQq(Q
zvPtw?F^C!i*tQsEYG^|<S{7AI5loj>7x*oLim_fyg`mP_#D<ENoboocM7u#U(vrgF
zv?0$tl(hm!+!JGI`7;S);HNa93xz>iLh>p(R_Is;ToN?YRDCM-6(ue~WuK-f_hX6_
z%`3j6{<^r+#!7U@`I=M(5C-af;S4Q=bKTT4I7X-dWRdyThT45I;ZUdj7j~Lbo}cu+
z_KbO0F8OUvsTkIYUDAfz%QH*eMq9SK+bK}Vq1R`zcwEiyo!m8&aExw&lJqNroBJXG
z^ul<W57hBMT`T1NX)ld<IYjKq>%F`zx)rjLW$EE3pGdc&Xm8Ldixn~^YY)_cASbb4
zmlR1s&*uH<m(XX>%$d3wb;5ic`a4`3?BBw%*GiK6WgMDLl*{;SZ{kWNTxRKO9Mwzl
z%gO~*=E#CckesvX4;Ol7_U>ZcWH}S;My(J16|xPP_R~}o4Aq*p&Xtsf$U**4B*!j-
z`L9sz4CL7~ENm=BB!mu+`yu#JPI<;2R+nNA9#3r;24|Mv786$9@dnYWUG>>Hx2&Jz
z`>15zMPv%Ev*i$pxF1ZnI58r9wN>T(Fx`BL+v~-jO2wsLq~bFl`S<0v)O*L4TX5mz
z#eApnLaLee*wBsR{aZU-hhJ{K`v!rDEZ^HQ!zWTUO9>uWb;gA%n%W$TV{Yf~IVH@k
zq7e3YEVh@TLYEb3dn)gU;DJMZ0G?j*5=en|-i4{uTc@?wAm@)b3L(hLY)<H}LeZgZ
z_?f!H3*mnAVO<j+iG1t)Xro`8QXR(@FsVoC;)Fr3INX8TP>Y0b;#RjN9u#3exn^QI
z;xZjmati6)xJU@ATVpd<1EA3Der1XN6=iW`h(k1$a>`-R_;QJp@#3=N$MT>D)Lim>
z_eSb(Q>9+7(Fda2qK2uH;x^~2g5L#22u?tXXgR0fcD|MP6D0#9nSabVz1G#$>@`QE
z+r~wx0{MB_5U)GcNB<RxXuw$AIq9bwJ%6vuPnAXT@8Vkby9S@YO?rQ+ef_Q|)O&0B
zRyRDqGVbYKZ-jrxICGUCNV#DX)$6BSy)wlH7W$GqMV3Wr_t*Q{!W!hdweq8SO~ijG
zX2%;$<cLa?J$Uym^YXh*4=`!>zsdqb$vVA${0fsP4ZE2eVy<^SU2c-_U&l}AS;mei
zw+MJ956608K`fJ#JeyOy1uphGWGg8%SP%tuySOK1;e=8ZTs)OA_#rX)1+6~Io`spx
zI{SPONZ6R;LAlXAe<jLQuGn*6BE&ak?d78y8LjOOqlpM0zP+tvOcBPf=kvQ4)-ob3
zyPlcste$mwj%H{u*xb!b9g`{RD}*$>*CR%y`6_!6$XEA`8oc_>dA^v4lVDH7v;*)V
zEFWZ7kf5CQtXuH$WCubUd*L$w1TxSWvx$e*qJ?+AiGv;{Yqw=$1`u!ma6os2UboAh
z?G?>!PoJsj6o1B#cFRJB%T4*=6cBA4%)!lhaK<~VR}v5m@MzLtjXhhRiFA0%Y`22C
z8}kI;-=pCes$7<(K3QI&;WH<!+cAEQU}0Ex7+t{n?SjJ3b9O!Ux5Ap<-pbP5!h8MM
zrR(**+*`SE4^)!+i6yi7=!Z+RaI940OHBg$=2~l{Mx&GqminYLQR_0X0y9{K+<U<n
z4x8yLCHFdq@#=U^Zbw}ztb=G<{yQ|8_mW(1dw%6saN^z78z`pLX}Ke~UT<^dDnoOv
zwdPysgS4usqX->dL8Cpg-MmQ&UkmTfw(jb@%1S*q%Iz<3bkIK<F}>=~p!X{Td4mE2
z#}q{J#WhUw#IO)=RcKg2sivdcXZq2QxN+;>tu2>I#BZDiE($E^{(yzgtY~S<Gqi#n
z2H0}dMhh-jU<D@NWnaN^)%~@`AA+0vNqYlLH7oV)mHquE`z2%4aW#V5g)J@K;aH5(
ziI@={jABg2P2)eERJ>J-vwr3}57>MrtoPKm7LXRjTzS;YUaYRYI9HQE46uwhWy=W!
zGxp;8FNgnX>>}R!Q5-S;+x1R7+<c14{_m=<B=r9-bni*TgvI=keE7uGuevaoc$GZR
zi}OdyLr_4u_-URGaSh2`8ZEa&HXb0Ku?%1(Ix240vgM~q#n0^MPZ+dNr@S&n;oD*=
zrnC0`iNJOUM^;v1Qj|-*?9&C6MP4q~oU$qb0RTd&)wBhO{8qhf0oQGb+ktJml8ouV
z3(H!8A<e~Cqtw2q_m9xq)`-KUPbegWdq%{zG)8z2JR^VhpLq}uR%DR;X?FcVnGM3_
z-_cW}?^wGE%;~cB)94f3;BR;i$6P*Ou*jkh_oGS+*K#1uhaX#b!bqQ-cmPBO<%jB=
z+Jz`o0LL#$n{>uA523GW**VOAev@Dxvw(cCMeC@?TmAdX<yw_cHge08u+;V&DF@$>
zY4q(U`M56%Bp@$U>F7eSn3xvpLwnX@?4rh<&q=&rk&M28+Q{DhJc1}X9HfOh>DDxd
z%;Pp=op`CS7LRpNh-m&v(Uvvu8vM;7XtLh79~L>MSyVcbD3X*c+^pwxwFeYKQ$TBC
z@<i#dk>mxfqIF>lB0(GJe_ZJYHi};Av?J#;Rjb{XF?61%$?9`aSaYQ%@RN**rEvR4
z{~Z4rFJJx9@@tt8T^8CaI!#pdGz=8MF>qsZ^fnhAH*1&|cLua7`EBz7P1;GPNn`^q
z!N0Ii;|(!ug3ZABSiDv8VAK~vno7CpRFQDI528pspjTFGC-fLlPVcur3*BE?QGbc`
zDBum6&dMttR@U9FAzzba{&8l<tmKNG#7#Rct58a;CI<rQ8njvbKyaohY_N(v)YY2Y
zxq`zxj8~wSK(vSCE;h@e<#Eu_%MMv3o&HvgiLx(B$>IDHtRQJYt)gm>bFhaRdIg7O
z<J|a4bODJni`iQGw^C1M4%ChS!gX`nI<+&M+gYTAr_BqMp|*4^L`=(^;)a5KnlUmp
zGX_~A9y=CiXoeStt%Wu%!ZPO02hUlYm1O4#3)dN&o*MgU_nY8X9d?;m0vy)t+W9v?
znCwWLGrwncADnFYK|;nePrLA!9Zh6pJY<4H)b;YU_Qhj>7?I$#8Iocu>MP;f{9aPl
z1_@HO&H04WB(NO+pNZj)MYvni7)^ur&Zm+bB&6Sfn^0CFIXPT31<jw&XO_<{;(T(1
zX|r&lS(hCOA+_uNs0#sI{!4?AO8q{M9q$rRlt-|f^@W?StY)(QoE^tq2IlouoMEr+
z9PA$?_vl1ESeVt%oqFS_?F@~)-Mpj*T{awt3<)W2)dR2cvlGwYjc%&9>)a^CCCi)u
zZ>0-ZR=7pOe8XT^yI|$qNyyu|{W#v$$gH9clg4-3<<d(H%h#4uYC{e;#S^wZ(P}47
zLc}z=%3NkXr$b_w2H#p#G-Hsw=APeo^K3|6A=jaFi5*Y4mVtXzoYwzjj%!psgvq!G
z$=A_oj-xBf(Z}~>ap^r(W;+%sx}*5d*V^k?M0gBLSLaLRIh14M`{I;sTaT$^Jh2y$
zep?~KC<J=!@;k<9Y*Ff=)9#ha%EU{K%N4qBbJ~KPy?VFvBihjj3qn_f5+XJCK3j!}
zdhM6%1#8iJFf>s`=oaO_S=LH47HUjTi|yNI?lMf=Q7=3#yXujih3gpqz8*U<5s@zT
z`Rq-mr^8T}r0JO^uHgbNVGHAw{q*R-iQ^=Wdf^KXtuP7R*0F2A<+mVVU2m=&u_Pu(
zHqw)wtdXGaH=$(6k6&z>>YZYy^0=$C?589O>|J(A8o+Xl9Qa6HdTKzJB|4QopVxsg
zflvMD4|m5e)ygTO-}U@i$l}T?8udbmuruBVoIU6pAXK7qnw!joGd}beQ3t`io_cCu
z?b)eZ(!CrF>cAi88s7+f0Rfz&^Q+*bszGFtc)vAzwMt+@`k8~>amS!ld4E}qvFLi@
z<UQ<>eqR;^JTncH1(=t%s8UgTnqCH>@z^<G!57)6$vD+GEeox+z<A_RMtMK|Xh(zF
z3-NW8Jg*elvglxHW=|Ao+=2rdI&%<S7cm?kh6PGEicT3)!1ceAuK;@0iw(wgmk^8D
z{8X;Lvc6)DIk-L4?=St0Pf@^(0!{lM`94<sn@h>(Apr;ZV`Z=wYnh~R*FoVMg-D@+
zb`(*^zR&lZ;cc*;(U;#PW^-&?v9eb_&s?8^=c(*c-H`u5N|Jlj{Iv-Gw=^7`ZJ+R@
z1q|oIWOdOiE%FWDs~URJ%05xq28Mn(DW=|#m;5(}eM@p9^FNTaFhqdr)BmBaQ+xPB
zru0YZfluSQ?%#!IONYk8S>#5YKwy=F6v9jWLdL>!Hjv+AO^#U}t;~Ik%E<*(tVZ#?
z4C%MYYGi_LAo-_V<iKg&DfMWg66<C<MQZ~F(iTIeXeFDR*K?-nqt~a9Y2BEUKjcn-
zB7TKSh(jktsdkC?LF1u%D;?v}Bs^^w@2IKIs~}kqEOZXN!o@47`D=Och}h5$w6$e-
zx3h(VyM!o?J~+eQyJABISFdT!JC7sNM%w&~?AtIWsI{UZr0FEV=kDcPOR}MY2lFs7
zI|pqjW`5Gzrxz++*${>|ic#IM2@u{$Fjty?<@DZNe<zVB)K<S_sm5b}1yaXMd8=tl
zv#dn4>b+ezOQ(k9=&z`wKs>-lFQQ+P;Hg*wl`lmZJyDs=aVs^$%oh2ItZ{aW-=y7a
zx}KTR9KYz(su~inBGJN<xi`~_^dngGjYiVl-tGny-CNIcw@JI_9XQFOj2LY-yK*90
znmLMtW4w)f_A>#TE}CVo_v6p1O(=Ap`ogEDl#c_{LJUC}_EQ`CED4f40)VcciBH3j
z0F-C@0QoG>RXNhgTCPpiuT%7nRCu=-St15+*+v-h*411ESvWnPS?Y`Xjt%TpvnFJ#
zn`X^|s|-Hu{yn<$&$IEPyR11%E6VzI%9g{7UoF~9n?1t!z8ssmxwafPv{cJxM0(tC
zq<;e&@fOtTF#np$a~5j)GfsQl2=kf<^06%PX#5hg-@j*Oq1G<U-5^BFS6i|OG=Fa#
zG{4x>|IB4*yq)=4VbT?|=wh#X`IvhUF{zy4>O;fk@4{VyPqQbz#suo|Q~7hw57Pl+
z%t>2OH6$wZ1EXSxYvr~v<RLy7S|}N_P4^{ck9(Sbl~rW9B!Olu)%wx>X)5AB>%LMl
z7rL8#x{hY<LgB~i%==XKN&U;js7)cIoH3i6FxoeiY%fJ7$~k6%JYvvp785N-no99>
zg0dZbiH3j$ZtbsSY)r>%`$K42+x_-@-63Uao)iy5u><utN~x?mxUI5v-?$>6G}$Jp
z1>74`yEOD+@fOqLO1^(n0WOop8^9USi9*=xp}s|59DEyd%FvRuFY^zQMzlvH-Xz%C
zF=2@BT6<LrCL(Qmqu+>qaWh@oylX_}!}63F=>;p2c@8}{1)PopOt%`t7y3Gg8(Y5L
zc7BWX;zU3sS&sRdwrs@@#;N71&KRfL>^E7@8q=QZKGnysaYg;1RB<!{hJr@9b)ibS
zY&wtPp@ceeXlc^PHf3X;_hRv6^jfUKc++{2W8ZX$*p9R63nH$5h|C__Ni7Vk_wi;}
zG$)81HMyJ|cIXk%G|7HvTQH?eJqMfAa#IrJRM+dZ?pxCC393S>XKws|^g04bRCxC&
zWlXc8nXi;GSNEvCxXpfyR@Fj36N5C*z=G>*a#Ya;i^YD*$nH@wk1K1n%zymhsV0!h
zfrP9pH1VEzCSdW(Qm|Xa*_`U#A>Nv9^Rj>`%(HzwZjZ-YWp$xy1TTIOgNk3MQbMyz
z8(}4}*WHcM{YjB`;`Lx}siSLikX>iOJuFA4%kU0gejH*C($<x(C5)uGwpbJf=LVF6
zK=BDJ-kHQLE;}mxS`ZT}3+nePm5|XktxJ!C-q?Y=5pObO26IpL0tdu$3`2bGFrFic
zA1_#x^vVd@@p|Q3pmG3{Nqd5A@17G_qE8lMX#j5wQW-*0U^CmjBqCm1H*g7&Q92b+
zuHtZ`>s9tZe@E_>RsTEo<tCDRzr*iA@8V_pNyJ;a5+TCLMavID4iJNEY*R{=!7m~$
zI?`a4dae+v6wM&!;YqVd7(s@E6<h0iz{<G7!F+5fN}$eltCI_NBZ&E(&|%=Ivg*ZE
zv3P&svX%LOVVzF>XzVPkneGFPWD+^$>}Aq7fF|*a&Z1j6b{`q<4kL*HPC}BE8CvTU
z{cxj*(;5qgTT1k)`oOn~a-KK4;MM?`p+m!Q^8g4>We3$?2lp#ei<zgu$K&N#CVis)
zkVu|}uC&ea$c!B(UI?-4=Wk6UC1<J2Q$Jk?2(Dv=3TWD18u>W?ilFV)3D7vk>oI55
zjeP*le!InDY_eZlby7tvH7bLVe+$orhU*CM?6qQ78fVlTzOU@C8`)-0DS`V)h(7&V
zp-r|!LIz43yv8S6E(}KgDqpbH>+Hui^}W8%Ge0FDf`snvU#)`^Nu>G*bMJS%Y&SnF
zFN%(*!fr;|+@q==HDeabUliu^|3NZB2-$8N?6oi^Xa7UxE<r&g7QX%`?K<qs{R8_E
zywi$?*aea+neK_cxZY~|r2mnkdKkpT$jWA}fPBY^5)sL?sA{RPdB>makZmDxtl9bu
zh?>j0#7S($v;=d@14ljjAq`rrZ3(f06|J2!qSohz<cyG7KR;9c6|DtU7}&REc+2UN
zn2oJ~VN2F~`o7%oh_9vSjfwm@AXzyAPf7nl;)>Y>-FzX1)k_J&hpXv{?fG!t$uZ(+
zX7wOOF|qPRUXjJy63{l0J-c*V6FAKy8`#kCFp%4~N7u@>%grwAa%>1UsX9C=e`8GO
zg(O(2tbN19eQ&){U2cuLq;nsa)nBIt<ii+6ewx?!ip}~&fxe+Tg(pW7!1bW&RFsMu
zOFXxf?jVLn=cO-2{=9@ML{K|GX9tBPGG@$%Z2h$L7#EZIz}!ctnMRzeuLKaN+Aq_8
zH4L-UuM)p4CU?6MGDWNh?0CaJypB}gxA3XxjelL5N0zcvN^mMZm1Qt0Xr#L;;#;jY
z&={W&`(Uz1LfxyJ;i%H!a1j`(2?<}iCe0PUwIf);M?REim71<eUKK33{>*P4I$zL?
zB)e2Xx%yfQbrVk+@EiKuLVqoM>+sqV=G4JIMb;}$)m*DXA`r7B$hh2?>Q+riIC{C<
zeWkdChe*lGj&_Nc^gRH}eydxb7A@<-3ZJuwSihv0o}U}+#^-%xL_$as*&}VTI2QhX
zt|%JaUgt+aI%Q<Mt-M#C?O14-Up=?R9R*jxGhvdmmD>#lz}lYKdP2ruCOF>>P*hs2
z2F`Y5IX?bIB0Si5Ey`WHy6zFb4Q@`loJgYk{ljr!&!91CuW_mkt8|QeoA`9KK_rrN
z{K1~i*+W1jPEbyHBu09=U7s$0aE>p}GA@<5Zy@t%JXtg&%X-JIo9kL#gL$uIZmu4m
z<)n+^c(G@zFzgreb!}S6zDBcxW~d(vVhETUPvK8!CEhRT9c%U%3CO|`mBlY2UEK+m
z;mc*8$pERfwo{ZxXjB+(;!r447k?#xGx^G;bn9awYIGnU@_q)qY8NbnRiXh(8cYSi
zUTLlF&e%vI$0>0L9;@vT981|YugEghLkRhNK{#Y8Syx*PGWbcRH*n?)gQ$aETq0be
zb@nlSe64<NuYZv0p=W+{eFQIWX6H3L-w)d-3g1+~gQk@1Fa9V*t4O$UilGa_X(`lZ
z@~v*g6Bv5>VRqIo!eWM&%Mm0Z;X8!PsCj3{(Kc<-^uJ^b-6GSnzytGb!s~m)l5n0=
zhdWn#kw?Vfx6%*XT0_<DBJn(*h>ygT@_<o=bWn;@PV%l;Ys&N#r<~-MiXsNl>+@*v
z;rC0j9?~z(?@|M)Dj_TJYqn{V{#Pu)g!lEJ&OHJqdP_AS3GsoUt~M=GE!bIUT^t-6
zXU<MAb@8hPe>KV5Pq1SVP5FDgLBhwPwt2m52*?HiA_L;|upjjIi|&G@svn7tT5J8a
zIc;j!)-ZD-D-`{##WTybwl^Pvi#zRJe7QPK-R157AfX)4GHEzv^5t>g;wYbyz+h7u
z2XA_EU`k5b#xjqxn?ek=F8sJC&0TJ$@c>=X_Y;I3Wzgg^=5oF7+{~c6h~<%zF{zW4
z{tB)D2WS1{h$3l{Wd~*ZV>6)LRQcCCzRsilJ6Wb3KVd#|QZ={&Q(c-!iGXbR&-uvS
zcqwEtn@AAmNb{dLy6YAyR`^8L9RA`MBenA?7#7ka3;nL0n6P-%YeKJ6EG1y&qgT25
z%7I1U8)}cm<Z)Jz`p1TNPCX33a-HqIQX*Fg)2=C>rdTnDI0gG>Qz}zGgeh_K8vfSP
z5a*%d-s;7mEk};`>t#YDIe7ADTb0BMFV0BF(7MI9J*#fvp3<PNZ7b+(fHC(~`$E@p
z_FZErt6i0(Rp(>t<$Npi++B66I1f)QDc}1Tb+b#L)~5Pv@&gjy8<7+QM-Z+)z}TR{
z9n}x#E3k8p25?39(>B4#^nyG>fTO|-v*xbM<CNnN^@w)`nNw0Peff@b(uI<!5g!--
zQr_0s(Ymd~DqGlStsBw<r}L@&qcU~H1lWW1I&_k3sZ}?3`3w`Rq_YyU3x%As)wJxh
z%@`>j;6My|AlCSTbW)yExk+S^04u@$c0Oomuw>TEU%d>Sm8bLEh)hedU^Q8N23kX`
zAB}lmvec+?DYuU?p(<E{`S<8RR%5f6EtM-ip_-0kZ#S-Act$6J-$v?as?7adt*PrJ
zF(}{M#oDnLX}T?_iWd5P=^86G!@0Ah+Fy6JkVR|%qe!A_F<YU*L7np7vV{`_%a-m~
z?SC+kYI6@W>`(t7l_R9&zy9ORiusR|ycVOC>524z?qNv(f8#}k@l`rPLz?<W>iW;8
ze=Vd&ItkE6o;!qo3t=I3QxRAHH#pey)s0JDt%)#|$L<%gVAr8;p8PWBhx50$@uv7k
zUsN~!4Y8+j(xujv9@jFWt$$;0qQt2IzHas7Xosxr$0E<n*XYscx{Fp$OEV6ndW^HG
zNU+>8eDnul@^u~ZtM&bn{L(beiuDYbWxv_p%M_lB{;O}7{~PMY|H|?H$(69$`dzr=
z1Z8~)DdhbiAnRtYBQ9NJa7?YUj=#|4UM;%QBFRJ7@rT<pfWT<b;&ql|<Xi;g9^e0C
zHx!3#v8myz?84pGrkwTn<JH3*>^;Npd+MD^8`NLirP$5Jvy&gH%1o)v?*xi$unOdf
z(SGjUm3{ED%+h|fp$Jd-ctAa=lrEdn9?!6hNq5hePuzt4cGFpZbCuY2rx|way%C4v
z(9ZK|cCk^Jf0R4$jJZ~Eo17c359oSNfHFH%kVquTg%ZsJCJ_`jvpS_W4Z5uCSSOny
zJ!8V@jqCz(Iu2E$4|EwaT&7&NNtcoth|6u<2~J$xkyMs%_h;Do2snHx5>P<N#embm
z4?o_%rVu7F?PZxJ-@K`)wzDqEOqf0IoG#{Foja{s!J%AGt`C%*c|TkaY_DnYreFXN
zJ}>(!3wQTVPr3EWp6y=QJT^r#tM<^Az%$^`pF1aq?L;q@)6;o5kNfq1V}u?Ke8q}?
zoNb59Rhp#Zja8YIQ4;SQf<^J~Y`1&`wKG;KSn?xXUbQ@Gy?$87(lm<-!LAzQ+jG{2
z{K9RMVXCW5R-d#4jSwK&h1X^ew{jm{sJW~k#HDQ&GoIr8)-;*k8MIH2g$#;HT;BEQ
zT?$({9WH2rLrh<Lmj5UgJT@%3Dv&o=)AUu??ud@k*(xX|@~Kz!S(b11_B<G<N2a`$
zT|Iro?D;M{3?%tI;eDt1E4+xR8~655y{B?f-!ROi6{--5M(EEA?giqpdj%FNt4CGX
zv{`WSJc5w3Zg}j37_SQ^h|l%ce=zE+sxW&`-4^`78Y9Sc@|sQ=<V8DSbxL^xajicJ
z5)h&~Fmw6q3C}q0b_DDxtae_mhTCsZXjzzR%9H=ykk*gsf;k*Z;PU=SdO1|PA*{Z%
z+ZnoW9raUJKENZ9IgiJ<EnBCW`Uk1HO{8#9Pv*{}*9M#EaDcBXLKQ}=zB2lxpQVy4
zCiC0+aDnB1CQ*o?V$73t7%v5#Pw5Xm%na<`ki9+O73VT*VrZZG3`xhY(qt)v0+Z$&
z^|GZyl33n3>?y3j$OSwc4GTP6<_$TvY-8+wsA=RoPlm)$2L_>9w25qwt&&Rgp1+<T
zD>u>SpGg?=zTwYaCbH4+-Ft)M%kIuwvRU*(sb}M%V`5jt=35C#_xkp_8VG|VV&M&_
z0?@}FPo<=JW!`d<Rl@>;x4x<fys_wbrIE=pl5H`O<LX;M(O8|l)oieQn(83h%`L1o
zTm4wgZAliwqa%z@CYQFDQI^^H3^AqFdU*U^CnP6R82yD@!g=`bxZnEr&Zk&u7SAdk
zhn;%6`oXLFz%G(9(h<P&Ag-vEIqXXB@G^h+wO4{JIC;LbtW5lFVzdmA?t0EZ7*Xnd
zJ+O}T&tN_urFzXwDhv#nN6v^VtcjF$&7%lT#uZNW7r*fq)9n>#9l*8PtmTq~M{;9O
z?VWk#HLj=O(&juF$k5*=)A?a<F$iuOv6l>49JNEkvLa;igfA|%Jv`fWLLKezv>j9o
zn(`nVwac_Ln}P8*x5KcpVOCQ|^`TR(dOnRh<LEYUsmwUESVg3Lf~H)v5ahJPhWkNJ
zkWV72Aqo6L!Isy1RC%h}NOGlzqE3li9-o&OTNv38tJsR?XoIk4sljg)g)IB*<`J@y
z==K9^=nS$rWfc?LKam9+;KIl-Nf10J6z2o2-V`Jv369H%SUXRUv@&E6M~4!uHHldj
z6K$WR*f-sx`fR}T%pvKnGQYjj3KJSB%GOia7rqX>YL9HmPn1&u$~tT5I@7V`Ws2Pm
zZU9_(M;;L#$zp1?(w4C+xZoK}q;jmr^OgbeDyaBFXmM4k`u_6{gIYX>ViiGe1^+>G
zy|#nR=N5A`AT>hCg?jGdy3zCx5??I9zn@E0h<)iWtp?2RDY!Xjb5mWZhG4BZ&*)Wa
zHl(?ykgASN=VK%&8M-hIo;SD7##@etVgL@+5)u?tq)=XYY0j6kT(t!y#wlsjS%c-M
zt`Jm1{r~d_W~5`xpXnl~iKq;fQ&n57TwJSBbo>Xvgau3zT|;yA{%;!IVDEqDGLgy7
zGF;&wAL1?ny_9G=XK(m7EDUM1{+#(D!S$2FRwx{eI1C;H3@^X;zkaOblfHwPrhAy9
zn7p8ZP?r4gJsJ%zlS5xNV28h!YIyukaX}sRTM~8D{~$&DgS7d=bCrE;B>y1sW!7Z{
zg)-Nz@eA&-=BIx%fZzXXlRUo%-c~?--n=a)*1ze~oZh*%+q3to7kW)bxme-?0(-x8
z@_@fGLW}xpk0VZ!tM&uv6;H;6jCV#&8Kf!V=@XOEsN0M)m_<Z))eaC#jH0D?9yy`5
zf3Onz5gWjYdj;275@dW!?2TA#zFx<X+c9kPkwhP#GhG(hrMjqmk)Y7UFpneQ1PYb~
z>@VJMIn_da<EkC<9JI_u-Cvc7XWM=FI4FLr#X)8L{?+HE17e!Go%Y7r+^Ew*7t>iy
zK^}jm28~cf%LLEg!lVtn?VUbr099F^m{^x0e037?$sIG5WTrhB+mgb#M+xs~IbEha
zpUB6i7ON{ae=XzSkEl#fv+<I2cNZT4BU*aH^sxz@yp7|cSD*Smy^G75eYXU+wMLEg
zZzAI38wH?cO$rf)qehWKHLed0@a18c*644A#?bmlix>^!XgP6yD=WK0D27qm%)B&g
zAr!lN1CpIIrTV!6(xhBM_xVz5G5ilR&c4N&?}v@VhbpBe{Idl6Tm&#q)CQdGyHAix
zZYqEgAAXr!tRfH-O|ikjK!dev@J&iF5PK=2HnkVfl&uebOQXVPymV;#+i7n?)?E)@
zsY2fehHpDWo<^#dLN?)<!bAQJm$*o!@SCyeg2Q$lDIV`9&OzFCXN_`fET=BIl`nV9
zphQmrW`lwXI~`UFI@`Z-8S_7#`y&E&4)s9_VyP@B+-}9MABTpbs&C=!+U|Z{w%SK6
z*34%L+Y+HqAHp&Vyv+hm8g82+jeETItHE0#tje&LU%u|>nAp=<S&5ada%xFhNbWf{
z)=WbPkXGMJRDPMzUU2u=pFT2)kPgy@ndvE3T55LDZgB+H5W$i0d-GZ(olU8`h9TRR
zAU&gMxJi^8dh$Uvrgn$2o^$q!ll~b(uSck&KfX7D5mMG{YU)2PDssuPFDK8Z#1}2f
zO}yRZ{M)la<a@X{+r{^YlN<O4z3xfFTuw5p3wI=s`$NN({4bVGG8|oE&IWtGf^ITp
z<=O4ozBZ@5Pg$GA|D||Vn4;lS|Jg(E1dSB$9!OmO5L_@(xMrxtu{75Bv}hD+^aVNw
z40keIQgFA-TN|=zd#o&!q^yTua%@K36<)rjkXFJQC|KJ$EnVCpM(`UBbOP4b$-FUh
zqiDY|5Pl*iJREqh0)j&S{hR6wA)HmtIP)*pJ#GORNwb_74`Sq=0Z=q9M>m!^O!E(?
zj}oXyYJBGqrS|#1$T`+tu6?tOxaQVT(=1%rVm1do#}k+<RyDd->U8lXtD^@8_C9Gt
z+gp}{^)eN7$$ixaN$bK3>%ZkBLK&jDMrs<|UJ_x9y_x89aqRXW5~Ck6T@!__!j`?t
z7&6c^kw0Nt=05xvB5C`gJ}zwPs*~)tr!X_ER$!`z^O&tVA@NAufL-pJHwUnB>21qs
z)^lE~+!@02vow!O0!X}{v0-+xPJLf{y0V?ADW+-mmf#^6e?Tc(^-^~Qz~PV&o%9ZJ
z?f*2`2`6pf(`e80CHjEI@_PGP2$I5iA_f=}=YBxwlPIYqt$rN}sC<;p3c80YA{16)
zA1BwoRC`7eI(a1+3jI-N|0#?XRKxXw#+4IqhHs%~mez=~kTkBvGB?A7f)z(WJu%x^
zZmYQS*pk0xzmfJxIK3o+hoTF&-a9HOgBl5~69szEL1`fWLN=4-^d<^BsqzXVd?s75
zN1)$?%cHcv4nDlBly}3~4GJL&^8M*Y@Ag#tTBGJVN7Otyk#@f3l(FSkvo<|0flXV6
zDMKrIEk3)(elCRO?Wb4GB__|Aj99YI*(QvNe2k-+ztq{6yI6Z__99#vk^oKSiE;Wo
z9I7~aZ4qNX^5R2h!R(h5w4m$H-+rr;d+nD+5pU0C?45rQuF192{!_GG_)6KDK?VIS
zBx=Tm)~!Z<C5==53j!3qQt8Tjg~}i{5bq1n62zZJiz09U6l#_J$Yrr!8hY-%>LJur
zC@*kG3yGaimtR$v;GT~v58E+_s55CHvHje+C&?$}D`9;Iy*@T&)J+R&6!Riro=MN}
z`nlsfkfxL!Px97*Yray>@`y{x(Uu$`bB68}(vuW3<}PVAqUV`gsiv}x5DbiZ-c}fq
z8W`zyUh3Iiui6IdHCGODYwId}>@Kj;lTf_QMqOF;nCNxy_}G#$WKLcL&<<VOdHALK
zL{6}yhbKHgb0u!X`LpW5YPzE+xyK$`VaxkdGAKP_DP@Q?boQ?Ds1&X5fzZ9(3(tM_
zVL7Uq|JBb7i}-}J$x+YccL<QN{LwI{cs(A8n6)F+`UaV7xge4vQck>%dN?ZsM3;_&
zs|G#lQI>MIaMr~U^Q&74qf@0@mJw6IEEf<E+0i72&PNHW2NesH2r05@7n7`~`%jb<
zQ=?VM>4vWi#d4BU)?3Nasnr>`19S<V^VN&5KToVp#U#Grv=tizmkY3e!K~z*1H)MR
z*XQV`u#-B4({#C@fDr*ifh-N|_Nt*6EBQ++O3a$TRk=j9n_SP>XR7~{Hq=U1>U70U
zf)4K42Dao*bXQ*fcYfw(wxmVFB<nzwVt*pnioz<#waDfFn-LN$hkX!5_N5YeU}U|2
z*+@x&|365M&si$`f3`akQnnezJm8syv+VXhmKB4^)m9U)Pbk0cOCFEgQ11M8{|5;@
z8w??vDj`{38I!OS5ZY+m;M<}4SLlcl_-l>t^cR*7*mqk*Y0+LoV9ESy-h~(+SND=?
znP3OeI|!_Po_V$bK+qM1^$uR6JTp!IgjEgD&FcEE*bS8O*-YF!FrWht%4`X2G0es=
zZ<fru7z1^Q=A|}-4xj<!7oSty4hVVg@!D$#;dRqTf=iUZP3`a77Z25@DCkUx$*iNi
zsO4h67;S9!a)7+#yqj}^xKadBwtl~T4<+d^-9y}&YQZoH{kovwM_;C5cJ-+N1?Pb&
za#m91i9~?GA#<$9V%z+_e}$yIyKNzT#iYoqN7_BAD0}f@YNIADjhFc^dyzJgtAL%f
zWli!r(TCq-t0PovKfgZB=<HMIs6epwhIFc%;>DQJMn@$r`$e?CUysPRYWqIA8FnO6
zw`;wTXYuVbr;r6XkOgYl9$1@cY(Aw)?|;d4(%H4<-%}_F`E&y_kfIKgif%9GFeQ)P
z4iu^^kr7cjSDbAGw=|lJYG~Q?E|G<x89=tM!|pC49Y0ChC|Q4ma+5@Fje+82<3R^v
zUbE-aO|i0pBu6$YO9hVaIvs>3HR?t4w<$76&!c>JAiTZYUncef7f_~KZ4G=%lGb@w
z&pRpSx;*Oo^8PAK-a?v4mA*YP9shmfBmwiXYlSe!FYm9pqdkV*5*}zqc%*FX9r>bT
z7qgQpilhi9Ms(TR^*L3?YGcnf$XCMVKT`(?YnE6jE3O5y&yy4KrRKA&*r@Bqe=<!(
zZ!YWChJu2U+i`q>hM6+5j%i*>Qcs8dk~7f3IjlNI0_jmiBNVgpkaZa#wRj}FK%3u(
zHP7yIoxBljI^E1E=rN{PP`~%v+K7BcO;5Z?BF>f9+Z>r^0qS#3@e`Za8~c=_&i5Cm
ze)M7`us7*TL*Wl05H8TGh0wR%RYjKp!YoB#Am3Um#JgnH;JIqbNUc?C#hUc{lnTLu
zZ!EAjRiBdPVAa6WO=7$I7c9*Xv1bmud|wJmhp1>d%#^Dner{~;`FviyiX8u;vEG$P
zoGEFUB0YQzJnzCxK{B`uRNR+rYy8fd<Ktqpsqs?PoHw1k@1;BwUza$wA-O$}$}jZy
z7|@H)J6Un*GeI)u3~+aSl^p-3<ltY^*ZnE8=@uLN{`ktMvb;lX2y*4g+t-AmpG_4-
z$6BpCA5yoB6+!lil(m;MFSd}a^+IyY>EWqOnk$9D?KTX}#>+S1rtW!q28SbPH9aCM
ziLA<Q8|dPkdVghSwi@f+*v%oQR6V+bOKpf61&EHZJ4@raKfx6}1pIr4qm=p1t2@i2
z38j}MMX~`8$DMwR3-to>v>gx=T9Zd1MikMh$_J5tEpenEYgh??p{<8osm0(y0O0s%
z*8CK{P+>4Ra?d*)vxfo0mx1c=Z?qxXS6kh(QG-I~ea>3_8b7C1YlIJtnfuwAZ6+c`
zDcmpB{;JcF2KVR9^N%#xv!%24njx-K4+js?mvRU7XV1katysq^zTN{tbwVz2j*cGH
z^=m`xn{P4dUGK)oSmMj$W}*}Oz!V=Ct@4YAg=CqVdG_E$9^U=J8{xLHxrDn#Lfd9|
z2P4>+LlQ9e>^h9#5ZJ{{E91E>|1ho}V9jT-JEJV#J5JxdH)v+>A}goyn)O|s8IdXU
zWQ40WL^!e(mMxu5DD|LQU2<d9^`KME_79SOUFu}KXzW|aB<n5ZkF*P;rC*xfaBRcn
zbMEEkRbGeYvo>%EjumSps^wQfHYI_PBRNhOG2r-n+fk>9H4sf<!Y$@gZ99qR4C~o$
z8}$0%)u%<IyY1!?9K(+RX2jyR^qIQ}Hlr7B^y03w)%69vKxzqT^{uJfrXK{a#72_b
zLE(jsnLYAt`-O>#9d}&k8XUQ4>xY$jAN`5V`4o?2=PVkc$op|w(IB_>6=NEKb?zpb
zzCl7}mE*xuOgkh66rL5{I!4M(T*@D<9Iq0z#!FH8<JXj_p{Pf_ca<!Q)-vnDl?Tc!
z7x5=!+&?%7Rm>0Q91YFOeN5)R*T1sTeQhJ`Vu^sS#Wj7e9dlbJy^PM@E=e_Y#F=)a
zZ_VIN8!sY)36}EZ{N6rPv|~<-B2C<!V~nx$hE4%+)AvZ!{dj6cUo=y{R~`~62qwK?
zj?!|!+5tR(g@X#7XWhN6<g~^ux7BTEyFbvX?5%`$4!z!>3g+k`af#cC@U~@9qjSKi
zln4{>nSs5qK1g}!s1(3S#C7Q3uHM{K*rVtzANp}G*q-Ps+dF*T%KuXy@9_-y%}G8L
znagM4Q)xe>+3%P%V0AzmKeq)Pw|~TDx`Uw@{^Xl|Og$ss4g^L?JAV;_fYAEoZu4^r
zC$0(@Mcr~xG04@TZyxfldB&L%UwuVMLo$B_)$C`<%d7~_S@?7$NoWd8{T!^n)w!8<
z)8|0&##wDNPv+6Xc)gXgDKxZ%xl4tgzBze3K|GO=kIZZLR?K=Xi@~lC%)nGgyvWqY
zVEv|xD@*bO@N;^Bs%l4YJCkU7$6e8EAt$z+<h5GG(Ev)|xvqLP-E6X?qJY-t7wRUw
z-|mvQe{1dc)L!~@B;LBdKmLx0)TVWgCnAJ0`iQLU#A1c*gF7PU^&kGzUZh8|TLV`y
zF!pXuy01kgQ7Gi>iHVM?`!rD9YMpL|@A&}O20b?J@wCkV`}^2mo*_8lSW*vm)05wA
zR3tpz1_y?X)S&0$s2=v8FXqGPgw1=C-QT+F18HJ)evvLN-rD@P@J_<q`^~q!2UZlL
zemP&TyjPzy^HC5#mM6OsuyQ7AyL&*zyx$=@_cpiKN5Ru?h2k#!?sP^ENhx815a&od
zbnb-`q4t%#Q;j%zZmTfqFniAZFa88>@Id}~ez{;o;B4JVYa?ziM)8Vj`NN9}%D;>%
z=mrY)+N_EX0wrn#@5OxWp9SE*?P?3h>MH+}{(V^fRfkv6A(`$JT|7u{b-F=Keq2^q
zb=sXK{Uf@-c^_T4-s06Sq`&_l5sHG2xYKFLLg8bEO|S9-g!pzhu$+8=+eJryQ;{zW
z?aD@MgM+2f1AYPz;coIZk^MXw?`(n!qdHM{nZ|Uv3CUe<$|Cz1hJMe<y}OS05S=7A
z>k=Z^LvmhE3gpB{%VPe*9e^VxxF74YI?0z??CM2IzcM?o7qYIShyF9fjz>-rV|2)8
zXkV2-Fh;Tdja8pOiQsOUc|sogs$*Js0RtGh;RjRuJztmt|I$5mCwiUu%sv84la`Z<
zSg|*U7s{H4|8&V26H`&zuBa*wxf=em7n)FK7CJ$=@?bc9@c>c&<NTP6PRQD8TJPCW
zbx)N2&Lurlj>qcLR&tGmD1sICGRIadUl;-D9L7F9gkJG5Y_NzSFx@I=2iWuFw(v5S
z_Z(l`%U-Cb_iEz-P3q3FOVqA3EjWg~1`h$VGCd3m1BFJHq_F68I#__F2Z5n#sltF;
z#dy=a3U|cvKCd{n(inp*${VO8Ms<;Oi|F^onjyj0v;luw|7hZTQ1HC5uH<SO{<9=k
zT<E&+WSMDhiJ#3z-w8N{9wkzlGpZysv}Dv&7LpAX=PJ?nM}~YJQu{H`bX(Exh33ut
z%RQm)uJTSvPno6nbDtW)S7&|k#xgoMo!0z>VAtc1?Y24D!Y^{7w7Cm%?=idjzkCne
zzPcI2c310j74{2YJEv<^#ro-ld9E#v^lE<)P&p5#j!`^u6_cr3)R3{8sXhS!E!DI#
z1#bn9=OfgTO=;C9=~}hisgW1KT>Md}$Z6k@MAA;F453$D1x9hnp&-A*%D4MEw<Af&
z4NLiMFDwVzKtKH_`sSt3evL>r3j6BRlC_nw_mb9BX$R36*pEGTKOV?jFR_n-A;=UJ
zTtwEEY6!WzU*av@A;c`G-(Rl?0-epg1>6M_hb1TR9hpB21XmP?xT($6)^t#<OgZ)f
z8uR3${!&~lKH%mU;F#wT`Cm0s<BS4|E-_AViWJO@C%4nCo`6YwOa02u2-qR953s`O
z1-JGm@73^|6roPa`eQ$e3!>zLm6h#b4sl)-zxCT2?V+!Spb!x%43^r~MkSZ#{jIIA
zjJ=?41=$RjU)gcnaR`wY5bEN6YN|fRZaiB6y3iZ=h}{tglfJO*)vbl#OIOeu>RV^i
z76c_xog!}(`tsX0e3mNN1&@)+jQtAm<F{F8xmK_yIQT{v6X$<h8A)l(djC4CXEvZs
zbH^N>$Ju901U8J)b#n7kXe=(hp-3vUFO#MB?|DCmtER-C!<vG=DuLa(P$%y<@LXMB
z;2W>pI#T+mZBqA_VL^BxG&k!HF5rFWz&b^gpWUH)5S*`A!#52k#IE^k)2gT>nV4w_
z{`#S8;rqL`@1|R{4)b@&K1*)oM3jlg;xv-EI%D4W8J`OmacwTo1Knx+*4gLUl-*g9
z*(W=LLpG87e3O(yqDd3=$CJuls~pyLj+V9DGH+VuCoI&*=w1v2A}S9UR>#K1@1TU_
zakJUFS>3#jtgJ#fX|=8;bdLP{Bq)W_c~OHiT;tbI;PF4Yx6B%FT_D)|G3&Tck&t<+
zC@I38W>xny3bF2Dl^UwKDiWIcx)EEQ1jo84_Vi45pAFWx>fMEG32R}|Tl!*CIbzvj
zIvVjS`_;xuK>8#j!_nbx0x~iZ<y`r9&%OL6RR84~-Z6pGWMyYYyk8g4JMN+GETZ!A
zJj?W$Vxfhi(xds`8#CI5I<1PWKi>!V0!Bq8;q2|(#C0Op-zSp{?m_Rbkc8hn%Xn49
z^)_%zsSGYDUK&b6E+mwzqhElhWT~)1i<I2&+a*0Fn}v*QG<Tf6TP!LpoU6AYuOaem
ziMIKX($TMwp?kOgAcZEiBrdhrq$#~#Js1r-ome0odYO2kX`5rc9eEvUZ8B3isygUh
zq#}{%HRsL$+sCbL|8|a2nz4uD{b5VN@?2#*TYv79No+PNyog8ZFa1TF-M6!|zcMWb
zinsTpgyT~ufZ0Q9x};JY{qi}RaXEf*Dl1y$KksI8-)%Y&Sc=!@=R9~#^jvznRqu#t
zUqMu$lqF*V&O#G^mBG<-xkJYq<P~0NNgolihDlVe&0WgdOx~0CtH{fOd4cmkxFJ%g
zLWTXzKoW}I=btd&ifkujT&oxdD#%nKgISHQrOh1GOqjNJ_oC?AM?OVjc->dc<_DLQ
zX}T+u*V@@kt@`e@bo!}lI!9;P$fg$fj!o3#6Mp67gpBuT6oU#60kk&OC6y+1sDB@C
z3*(g+HFmRZmUdK!>Z`_PHI7O1BEbS;d+w!^)ABxEU*r6Au<T*{O2FC%VrQ+J$0Y8q
zXdJe`Lo`us_1?8TTSvyv6$Yt&rwqjwAf^IK@>%<L_NGTHUreBnJ7xQB)%y&|?tx97
zwhM>ge~?USfIXR?;{Ib(($hjc1b@FB`jx2r93iorX@fw#XaDP8^x$hccRC2OsHuA>
z<=b_`P|u=!B|lB=_QH2a`RdXxeH)A27FID9yo%~s#eGUUxsdiSF6eR|<~&4H@T8WC
zkxqx=EHLYAaL|3qp%7jPKRI6kb)@+7PCIOb!IiPHLS+avG5<x7A#Sq#>XVV+FyJ3y
z)Q3Qfuv1rS({Rh{-Fo9hQ^Rdff>p#G4uf$s29+@=>jfw{#x`3dE7(bRU3^MF{@3rq
zZ6>hp`f*|Y0iGaXrH%m9BX4ehZ-EGxU0C7R14d_)9Y;94=AbfHdhVaRp!s&9BTKl(
zTC)_bj-7nhGxPa;-*G|*SQKJ~v0chUizozn!~C5bkcxPCKJUggqQ~Jq#O)hl#{AXD
zVmW__dsg=H7YRcNG}OBYE4ieCR!Qs~Jf+<deIrddaX0-HaYfl_k0Ml3G%(1so>BAF
zWj`k_^*~cMKZL$L2X74LzP*eO1izjQdi!Hio(Qd4@=+FzkHC_5Cpzy3sS~<n;jzN(
zWgins4i+s5%6vW`J%56@aQ*#yIuBlbtgjUtx2zkvThW<#9hV>p@dQnLfR5JFw3rl8
zh{oFj7rxYsgFXRW@#gPa<&Vo;Tw{?n<OeaWPxJd++LX)}TMNcfIk77S-P`i}hB>oM
zrN2jlnkgo9FI=J2N#3b#E2D`f1BKvAlM%-fUEQV?2<_Kj-=4rw{_q{LKcPIwej1Rd
z5OyruBG1ae&kxDY1v+De9?jhfWVkdZkr-6Eg;Eb;v$`*Vni6i?h_F=9=~hGZ89I`u
z)B6AsO#>rc+|mI$rIz*8oul=iSrqdXd`y*gUo*|*B5hfg1}hfk@GbxFvf#O!XCA|G
zgX^so`u9Pl9_6(;)zjG^i>$wU8M|^>M1`}PH8ZDlnq2*gX%+BSz3<ir^$@-JipQI|
z`9bJ9Gyee&Ylfq~rq%UGmdccDRmo=ET(T&h3I50^d5Dwqv937FT+vkBqg@=~cDRx_
z@GJ9yYW2lw8&PX@9V)V{vgbmduci7WN6@XWh-9OCOA-&M{OVg-9z*A1KJc>crLWFp
zLGl0M>aC*MY{Ru%3N5s>Xi0G?4gre06nA$o?(R-0MN+&#OR!R00!4zmy95vJ8eD>Y
zJ8S*pAA9V5ki#5h<bCh^d9G_t`+EPq?;Q>(wn01XIb~fnCI8&0NQC<RO4B%N!jA_V
zf4$99W$0`6;}gTQBCA_Y;Q0DeYOwjn(HQ@etL#(?zwz%M-fKfoP8f2?H=CGqygz^t
z#!rmB!*BDb`E}OkAzIn*q;_^YyowU*3d_u*r>W?XQyU^;tT>8LgZ3ezZb31pVbneV
zcalE4X<+yXa0-BoPA#*H`-_IAZLP8+vCc6i@cJy1fba?!WoDCx0gA%dL`{T(A`nMF
zuD*GF`SnxP(M6Xe%B9ze?lK=EeG+MTSNR_r-DFjKS<0?Sy?omv=Q-B5;}hC*y{3|W
zJ{&2_o1Jl`N)NLgrhfC+i;n4V=jH<1Lw9T%F)vs<*MDeH{^z@S8)IZJ;FqZYhM1Lz
z$odecs`(DP3DWwezY})$e`P>?DIutO5vA9d6<8@<fM86k2+jcS|1GbLBcG0c+2M8Q
zl>0-R1Uj#+7^3zO#ZT$V?Qb2~`UDbX*doV~mxs1QnEDbi@}ap7qE@PZNYgDmTx8U_
zT83L_1HJI-pd?pzhtcJNIKKaYDl#dDc9wn0g}vB;vL~FBC)a3zC5{u>sFr&CADRT6
zig&Rw9`iUE)#-)=Nnd3!YwXM4jXyq|WNcGxw%JLmSMU335JV}Y5+L=5sb7Cu(waNP
zr>i4eA*I)SDEV{!*cT`fC(d<v3$B3cf3KTs#eYT=Q+tzLd#R)pF>#j4<D5Z^gMeAc
zcjH87N#*7tDaN%^t#+FTV#T_2F|`xsEg#ll<1Dhf#6BK-GcvHMem8ilPa>n^xGYp}
zXt&J{rPqGh0p&joWy(1HWGw=xU1NQ)Z0<)IZtNRyA5?n`-Z?pcut?w5^3E5~zDq$G
zoRf&!x&Q<KxGTe}@7glW&-yC!y$e)%Y0@kv=jDr+U)4~Ae<*C2o&$QkQ=*HPL&GSP
z{}8*4$+nZ4wb^dl&Yi#m7YZu7RUW+E-zc*X5)#{U64=#mZhbKM_ZMBk)yaN^g!W}U
z+L0kjG;S~`;w~?(-mET6*mMXSE7wbNRnpW`KorUqas<}+IVap7oEmB^pO_FXln08a
zv!=!S(&BAi7avT<<e8^pBse}wkGNvKxPly7l}hFQi{v#`la0(O3vw7S>!nj`Yx_B5
zM`d^@tA`99+Ax2!%xzQ2pw3E9sVqP}SB`w>o!D3*u&PaE%=h0U5B?9$f1cFtuYaxH
zxj2~bD6(nVMIKDz!zM31<{+0^%@tSpSLOWNzhuLXnek+7BJvqe9OtZAUO?cN{KW5^
zmPEnI$sm|}z`%y`MBpt|#U197pXHRC;NPT(uX9ORFIImQu_#;SH*-Pladu$+Z?u9Y
z*-pao3;S1EQ$kpmz8t>o_cAhH)KF((7_=p!ZObZ4tP4eP8@x7chOfB4K*3>Yu3cX|
zKuvabeD$Zos@qpL<^T5Qnu9Wk9#;Zkyx|v^UZzdi!n{@hbuU)JRA@5sxh5(gE43#I
zbGfYo3-^k`wEx-DVTO}=s0WDlQCJbJ6r8beO|&_d4FiAXiI#hGDSKo7EHtT2BOu}2
zo|SvpewddvBKR&irtC=v9O^rkoZH)HwHlKqSpha|Xxlcz++<wWG{#xVvlojgrQqYL
zDWy!LjCn3ns}7$dxt9G&syq!%4Pe?ong$SCLGP&)dB1_0h`3^Sm|k9$#dirFn33!G
z+G#2qGCeRJQD6RV!U5E=opp$6VE)hKpfkI`k>;)bc;U9Ahnh8}bEAc0DNhTY)ArZz
zze3AVVBT}ueZ%D*uK@2qB#dZ?dwsig>X#<|K{_2XuGX6Dt5`otx+{T$qNZCT>{y#V
zu&3Yh<)k0T9VpxtDV^p+sgU)kUdc>V9Yluh7yoZ|UaK7;gjv~w^J&RnkmdgZ`fS8A
zP$|H)2bq8BiK}=M5-ccuASC$PgUU{*FjA(p3p)%V^ZWrzwMY<;h2Ar8cIIh|Ul{lL
zXHlm$lpzy4Xf6&7@g}=WB;oo}WT;kgUy+5zMlGbQb%+a^+>BqaSs~Z*`;{oR4U!A4
z#xvd>reqo2o5+V`!Gjz367R**x2JGRtXP@lEHc^eq403)dYJL$4SK?91Jq}%SL;i1
zYM3FcdIPp1$P2oQK|v<;-;r<Bgh9WP#*TD%F<IW044$wi&?~d<y))jSEY(0@fa8=X
zF&f?;sH>zc%fr6%S*q;iq-N}a@!CF0Ck1KHtXx{=7<}*JjPu0eW3$7;nVftX^kR(W
z0ZNBz1r_Xmh4j-GNup{?c<8wrPeTKF02b0eo&a|*t?uDoED|axE~_=X6AK~vk+zJB
zWe{QT%rIFYDsSy_O_H{C_|_L<{9}Q4KWEbxo#<s2N-JS6JkU?NU^pTkoxfD-;WeCL
zTqJ}TGZA2&pV@DJv2QEV<~vqErzTIZl<u6vlcirdu&(T%CFr>)v^_6!R=%+;PI+ei
z;S+Gkm!x)?s&W-NO&+f-WvegO+JF%ue(fMUOP*3FB0id9P!&t&zMmvXy+YpR(Cjiw
zsB}*E%36@wpHFYCPni~vAFhy?r>%Q}lT)$kQ?Y8=eVN=<#Xqg41Rak&txzVriM}aP
z{*88-FSOU@wYG#~KU!-@Lc~uRzFB`PDrE?V9Y;2rML%@^nXy!cdb?vc7;TlBPCt$L
z_)Je8_P}<7&xBT-3@)uW;dp!tK4!CNMMF5h-|(_i#Q%rJPTuAwYlWLrQT>PXROkA&
zWm8OkV*fvbG8SPjv!lZxjXW(?)swg|LXxq}D-6J;?9K?XVe5N*d~XoMd%rg`$a?P)
zxOOc<s^a;L-}1A<n7>=MlV%xmx=;V2)G5aLb**nF6X-#lN~dJQ1Mn$`U9>81cefo@
zXv7JHJ|If3Tr;s>r-q|pfZD!-CZ@Kjzr^Ge=mXBn`)+ga&YT<O*t9ebTdJoSJA|^x
zD>ml#7KAv|T%+@v%ljp(Sdl9Z0Uqn7dgO$`Yiv)`<D5<tS7C74(;k6x%m#{i{@d3@
zST?K%Tl8VVuyZ>E-k%A}8$|JlsJ3*o8Xnqw@%LhLtk~~9<QKJ|ii1t&@l4-lao^m{
z{6`5`oDsuMXkT{#59T4Bm)U=44_xX_65q)JY~?$ek_OLnTY1ds9%W`;<}lb_8Iz_g
zG+9>Q6*)~lzYLb17Nx2^tl_OyDO<H^lJNcpYp){zJ=-@~{tDO3FX&pF8dw-xm>B1H
z^x8hL>FtX?*^if;T&PC#^Ay~~NVH+X@nI_@o;Wn4@>U-CwdnBqooawJz9cJQj>UlB
zfjQb4^jB}<j2>gc!LiwlsBzwYgVgG+Rs`JYKQy-GOM_6>^WirxS1UN_w;Ii)>YtLn
z&CE+|<f6fYWzWX*N*t#!+uD3NM^=a_ESuH8=e}_kr!vM{<y%=~;u-e*JRxa@5UtN*
zXA!xh2AYfhY9j#>A$;20dg?8L6`f6`DOUQ$HN=koMqI2Oj=BELFvBFp#UrWgz8_xG
zt#finwgJiZpo{3IIGJPlytSvVo%RX%IBk>4Bd5M%wyrxrvH=u!9rag15qbf-<LP+B
z4qU^u55cncE<=zpiC$sT-UzNB423|BbMSa#CmAO!r3;Z3@kg6c+{z?9@9e!?x&wy`
zBN)E#nUFX+XTIpYU6-6cQHfwqJa3`2+U)p#wf3<vf<EZ)*55Q>;+|R7d3m)Mmg9OW
z#`=@7`rOGWpF`hB*=v`zM$}K53)p}4FN*&VIG3k5RaDv@J+=ibo6VX+L!-b}lP79K
z<T%Rd>W~QWDVl7ODxk6{`4AfXNlfO`ggPobQEiXlhJWT7F+J}#*3yqzPCq)l#Rc;3
zhZPM>0R9m3O<l)cFv}X!GQ8aJ74cH=RFh@VAph3Kd#(uX*78JVFDla4(Zdx64^){%
zHCxbs`X~(GrGB|^hzy(*8sJ?d0imT?iAekAfy&W4;#G;ljk6w?b!|wjzRH4vaCgCK
z_CtRzCF!|vY6Wiqmh{|$nyY_Q-mER_=3Ow;o$A#s>&z7YQ`gPYI+rpTEXT@*3T>5^
z)HP(8vntwEzqRI~6ofF-zoirLoSAa(cG<hAs!gzxBZAfMrSI1-@@>lqxoun(L=6tN
zB%<e~SbZFl`0gM}JAj?y6cNX{&|LG=h|ZyD8YIuR+4L&m2WrR-BB+=DAKFvEyIdT%
zC33G2Ch9bvzPFUC8G!{jMf@n|>9I~D(yIiw8%1t3Ir<47k~E~`&D?2Cklt+UaEoP}
z+miv?pKuU-X;bJTi1YL^8#>EWYliWS*-n;^*jHdL4~pBlKF$}aTDZ6m!@3iOJ>TNW
zDiaZOtM$G8IsVEyzETwh_{P_iB|_6?xf(_TZd1b@O>-%OKlXbTgbCl@w~Id&zpWZb
z#BwGTQ8(|eEkj`PHMLpN_u7XZQ6vFP{#i`B!pG}ZoXCi^Q-s`<lCNK10L%|@f?-A`
zu%N`0^UIy?)?2}nYx49DS|xgH8r#nR8*2kATzw}2KBHTWIJk;o#AEcG#t`Z)Dvl(q
zK}`*Z$5@ZOc3aP{%yRdrF!aHXxSn9#iY_&B&8$+&{=+N2WMzw3s{T}85w7v;9m^i!
zglMp6y{pN(Pk{;0ni=Dvziip;uF^8jRcsKU<6fZZLXuQVrK^r!oTAZ)p84j2z4Myr
z!QSs;C2%v`b!#S^J8;@BB|xY!^i4sGyB`NL{(1q(7wu>cYz}4OMLXe<d@Lm)nA!aG
zwjb9Xom8WNuB4PM+1gx6cshzW*C>8#g6^B7aSHR$Zqo#bKYXp*$+_y~ulFX634ChD
zPPR^YHsp%#n}Rc*$L_!(aSmjI`n)%PJ#6p2<3AIo^w`_loLNoi!0?39^fQ@%;s888
ze!O69u~|l~CeuCCfz#_7!mQ<0qySm$zwdfL5g$?+k|78+)(FtwT;<`jxL;D{t<N}X
zQMrYeo#$=6X!^s!k(oD_ns&<3<RZ*Yo=6$}RU8@?2GNB8-f!Ecr}w?dD}yd45?=1Y
zKtIS7Gkv1cX2~Ab>4|g7f?Pv<BXdCr5KHe23hB+UcAk_7W830u5F3nF#H?j#WlvGH
zy3UyP`^FdlN^Gj<2rRY}%To~brMT)G8#Z|@H^aNI?Ge2%>u9!|&nUdx1T0;X>%gOa
z3{ncUSRg~(&(D_zk$wtr{tr#MD2IAMQO8(p?5Gq|s6x3^lEF(`-JjmH^8_oeQhFc<
zC0vR$@A(DKC5__l<T`ZfE0ijtt+4NMTuChW7LV;(u#z%Ux|R6;AcqRZfrEe>6H5^@
z{WP<95Q6hIi?_HBk5Sxm4AH%F1$;f5R+woQc7i#rGSpea@`jgsdv@HyVC|99SH`Nu
zY7dl=EN&zetnXf!yTy6eu(8!#-Ia|mucS3oF_O-Xl@E~2=8+ff+Q@E}QxXn+xbcZ}
zTWCq(_A)YKJ}XR&ulruxJkr@`V$~6d{Be_qIv1*w_)wI2Q!Cc~ADS>jjA!F@ReqQa
zBCK~6cvfeW(-g|_k%rzQabp1DZfmGs(<99tnN~bqI`w^2=xF4X;L-br^RTWqygpxF
z{0a1Y!>th?647^hIP=F38%L1g!BG2NyPVl09>oM6T@H>9tBgrEfQz##Jyj`gu|ykH
z`HcMD>(j-Fp84D4&ae3)OCv0MC!0;G$~R7vq7oGgOAhDN55|ZL#X~%8v$4$(y(7h1
z;~36Qt_1}B#{a4$W*-$x{k;quo2Bmi5M|#uMPs^-K(|b+W2_$Ou~gn6sS*KvPU%qU
z#RlmPMf_9M)7JIe&%n2vpCZ1T$;JOUfIGvK&Q)Iee%V&c)ihgj+HB(v5r(0{;4Y6>
zuk_?GP!;a!o|{SkADiuvAP?_bcH1(Vn5?o0VbEUJgJYUG&(!<hI)!TSn^3!a`})l_
zWvC{0*TuX3d^EkX8dfX7YiBD^2DbCZ=rMR({mDtN<4Mn$Y3?U1-lZR3Z-Vg#_((}!
z>hQ3z#U5#8D5ldj;(gT9?A!#4|A#gQw!)*`i^G=FTZw<P%}rK=9V$u2Hy$BWeAxny
z6gG89adIIt!RJFJ-w<lYIa0DJ|Int>#9f+7dgGIn2((My@ziamcY9bc0yu^Ebk-!_
z<xz&C9tB4BBgxb7n$tRk(;PX5sPk_ik9m*AnzcuIJ;L#qS}edWfXgR{E2VV+K<A3|
z$YeJ6n=^ugOlH~Ox@`WQPO{8ECRy~Kz`MJLziq(`2K~V)3wx!Qvs1H<Tz!lK;pJJE
z-(b~l3>_fP>f{Eb<H~AQJt)a&q^`w!_xC+c?|?_+&;*)(X-sL9ax#M#m@E65_iE0{
z@vo~n#gjwObjs|XuSC}vFDH`~R<Hn<H3d8TrH8&OhK`I5xE{%{bOkt#F)84!2`Abs
z#($|MrWwA?&5ZE^Nd=oZ`+1=2vQqKDY$#2d0+R>3mIxsb|GPXI3{7$%&_KZwPg9TH
zezB2+Z$&AURohjomMbgEv_i5L3+(Elh3~h1soA_m+o(#M@ea$oa-~^krxy0-8?#}^
zrS=)7JqqF^@MlM>GkMadFji*}Bg?kJSeZ~txBdJ`mjdSw>np6yPAQwpupxARPjz@d
zq*FJT`9Q^U2kX{;C$UYn!O_LGvlwt4i;`7gCK(-C`ll+u0fz&(t@#rhM%2~Jz%w{f
zz`Q~6iIv?04dx2UN@S`1zwPO~|I?o4ob=w_Tp9b>EFSg8=kM3Kwik&guUz>5=WS>s
zI*}-jtKpFp@OX4|ct>}WAoU*_bt~ofmGAV4<JFKyeiJ`o`KAQsd=o4&7BU#a)1@5O
z644q1{V#V7+(6xO!@t<)jqC_>F~Fala#lql_kv2v&Duvr?4oZa0xF-ksXJ#!%D>w#
zz7`ocn-hpd8Do3qk1t5(2R-FN;&BX`fw#$A;@F1-#{QTKX(Jid^joE4zV3%q7Tmn_
z3CsE~&h&4e(V%Snf71Fx0;*&ciLvv;#ZVij91sa3rL1e{Z7o2po+YPxmft_p3ifl&
z%qFuA>N}92r*>E8(Zmmw7P;38*ls1Pl-bkmrT0nhep#mg+w@IB8v+WyfWpB}|Eeq<
z6cn+aj<uCPh`IyE)ccG_C|%xbOr5+}ZM00kB`8AlH+(rCTg~%hZ;SdG!t-Z*PwLOK
zM}t<y>VWai*C9vKVmHixbtua*<9U|8_8~kH%q{pd%EhH;?&<iwBRtq+BjXjcs2sEE
zB@ne+$(eQ#+H1CVZjRS|6jO6>=k_pj2s@|ypE`8<yw=&wZpf15g_?9|T5X<FDBHO+
zH$!eTLtUC2$+-KAo6W2|X5fe<L&%TzPbg?TIh6M0gU!P^pvH4FG@|w@7k~tjzuudx
zd*ibBY_S~|j;AtT5-g15amh0kuPy%?P(I47d_i|ZS|ZLHY&6|YZoISvNuKd}`?DTs
z->>)xBvY%WZO)61U*ZT(%^TBPxNxIB%<s)1ZK{bPFDdf4NQ(5*xpJfQ$Lr$1cLw(Y
z{i<Zi3UX9z!f8Bm1M9(Vy<u@$JjTYKqUwqSdl>2IuBr^r^p6o69XJjI0|9nadBLF$
zu8bO^V@G2_eD+_?bWo|@!hkR~^WAX+y>i1P+=`ak@o0o2-AtI*A2a@>KNu3}auV3r
z)aZ})D6DTHMPIQQaFp0fYMJv9_$Lhgz;+6e-cNw>4)B@_bk-5mQM+^Uz0BBY6+?I0
zhh!mxK<>lmkk6GQqM2MzGnNO+`EK%u-W?E&Un0RrWk(lciGBRfI&=4N5-hP@&VHo3
z&EzhhN6?4KcPzkn(fZTvoCXdq9(<1il5%_XZ*HTDjqIYs9NOgG5?FX`95q#~-`N<<
ze>KwGIJ`bPGzd)2{bV;;Vs#)@#ct5J)-3+Jv7J7PiZyj!wx7ogiyEP6MRe%HPJ7Zl
zlMUgideH{d8oBv>R=6aQK|lFoI9<IJ*i+imlnQuCn@=x>%5!xos|5w-)bb6Yow%l5
z+6}nHksVVp)SvBr2XLHNKRg61T^A#3H*?y~rFB&Cx-=$UzFV@H!A?TEsggwoo!Jg_
zaYA-hKS2Y;9b5}`VjrEBx-9J7?+seJSkzXJCG@=JA)-@H#@Gld)Lcq8ctwpLY+U<2
zFQr?EKmOtO%~jbiJt`sOSXobzV?CtcfV1IVPH@d!lYe~pl^nr)5uJCp=>LAbAIP39
zj*7FJs*JYgR`e{>hA>f;UUNMP<QXB&Wl(Z$e0t8xsjqVt)l7l_56hR^GhUlq1L{V|
zKq#xF?VgzR;<a}^HkU?JEL8}KTO=%38p2WRW&d-9Ag*~2w0ve3YqQZNFf_f1-;HRo
zyuvK*XnC;CwfX+lb|bOS-q7fW{|7F3o6%+IJ2sZtz$-I(KIU%!Se@cao1&x+K4r~J
zaorBRwD1aQD*u!DPIy4NEYI@4UcH0ctOxy{DE2#fuztk~1f_pzGU)oK(rUF<sAe9S
znp^K=^)8e(o42&MbTM?2EDp?(Sgh_K>f~ShdMiFN#W*21Uj3|NV`VNjZ)KuF`KEmA
z^J!XU7RID@Fz~G3jrgyV8JjlWWk&{O3q^&25DDN&!t#xE3Etaj%JQXrEIEoqubpcD
z#0uq=K)O-&E(C4Bmhv}X34O_`yM)ogSyfMnNS9I8yx#GsUH|4D6JT};E;hN!bCLCK
zW>1ZqpR$Rv+$oDYH77o;N+zh5IuOzfk+nW@*ZsP5s;TNa)$+xiMJx_QHzy|@lQ|ZL
zr2&Cd3Vr%X@7<$Pb)m0+G3data~#6anwTI2$t^f{b2g{3bt5=>IQ&74TWz^dIx3;I
z_juh^n}P3Li)J*jC~{cu;>lLrU-W50Q={N$cZq!elB#}vC+VY8IJ7c1PEA&dd*`K6
z@A-ywYZdBh^)zHlk<fmfI*4oFF2-DI0U6v=G5Pj&5TW+-b(6CdJY%%c8G!(M#G{9c
zyFrwVJ|Je|8MS)Xrx}vBe*@I8C}vR@QLyU|ub0HXG`rXk^?X(l18`_s)T;cJ*7QnB
zL2_aM%Y!pRYMfqPHZ96_fNBEgKXK6MTmJ|)`Na38{+b**B6S{^%EX(pTq?n8b)eB-
zAcygE8pxl92Hw|B_4&a7g~k?T)sX-%a-eL!H%l+r0w@nFYGXF(D8L$2niuz4ErGQ%
zFvT})9+-FH7DsxPDX;0wlek=)D)z-ykJk8H;Q+9#md6;T%i{i9VUn|QP~7a$F}4Y3
zoV8W5suR}R92~KRH;gO88A4+$T7eh#Y}JJ1P;~7S4Qr}vTFs`nqjbrVr|K`MqJCF%
zsGa@>YdZ83(@g(^OW$kZItp&vuQ?_5S9~NlrmIpatc>KdAczt5DRAE2&6=unBrk5`
z%(`5y&#jBpv8e{{xbBx$2t5zBn5}Auv7#(d|F0532l_Lfb^kxKX~t(=uNzh&q)*BJ
z8WvkPgK8%7_WvhsU!{Td|Akg=hr#*X=(bM3WeVP@hIp9Mgu*V^%&A1F3<&via^r1u
z&2Rw3wmvnT@woq?@nZISfeR^1vCYT6;GJ7$7LUDajER5=oi6B0dnd!C>*ROQx$5*M
z`Z;cn9T;XweSbK(#`WC_J<}Pq3pPeS6D;);Zj(^6ibquiDEcqS1aW(0&B-TfvA^%S
zPu-N@OZk8yzFDTW-zpBZY#pVJm}A`9c>3o0@nwPs5_CoI^7AV#k0TSmZsP#&)97Z4
zuol+4KUNRR^R^bo;n>x3VzM??DkfD%pVPaz^|V4t&!U~Tw-aWyF7Bs$=BhjbI1~5|
z$DI;q9{s#3fX2u`4Em~poMqO%HW#(H!$<7BPkiIghE_EV0lQzy^69~yXR|4fN;5d4
z6$b^~y{z7sIG(jgV4u-!D!)-wJt5;4b4vu97?0UVfy0@-5n0!3gA`u)Ym%Wp-wI%K
zuia>au!u+qE^PI!1N+}p$!?BO1fRpTp;fx1T_Me9PHI=yj_>L84On07Too<AhdH0?
z_Z;JUz0q6YC)uP+>BlQ_Ui$4(9NB+ED)qo8at`Dvf6m0pmDF(-YaUDM?!RfiF;}lo
z*_6!ks{cbp*94|}jyxP~(h>svNDHh2;|{7y3G+mp<NhFmS1Y5rap-n^={cE~MkObI
z_&dTrmKqke2#^n;H(ZH*U}v#u{*70s<R?Nkds#Jr;~5qgDp+$S{?&7cf&+yl`#@)Z
zHCUD3!))sVcvIyGH1ri6hWQ&@LRJTl9{nCP9LxxsoFu8?mBTi)(QIBzg<jNeT1hw6
zW5q=i2h3Pvq#es-A(;u^s=My>J<c9(yv}aFzH9iU<m1$j!DE`sSt-T?zFKmTVs=la
z?FVrJ<j{!p``6EOc9hwpAcjNFU*+-4@n_CI$xhD5fL=fW8n~U7xydx^yEO}9y?Yi6
z>P9foCr14Is<vQRg)p9(Tf&-2->Eq7lHypEfPN1(+b^#Nwp1N-J}w7h?`F|i$$EV~
zcdlZX;deiq7Sz6);G>toyINu5mUbXbm%MB;Q`KKVsX@r9SJJ);0%l|@j9ZI{85Gvt
zPED^Vjfkw2ey*4<Km~^#3(^Pp%7aDDPM`&1Z8y1Yv<;&=Re`%UNT&_IMG_byMiTnj
zY<9o7DC5=R$JTx+OmS_{_9s#PxwvWg=&tPEJH;_p18^lp&Z=feGr4v#sp7ECw9Gw!
zY@xsJ!hnq(piyGk=o1s0+H{|7F8&u*6RGohA;Hb^2}q~L9n)y&u<-mV6Ml}0yW)U=
zlOX?qje{!Rk-<7xiJ&cZ$e2c^&YO=4GlM;qtb*SC&5TaPtfT%Kf!OtgbA4~#{qdup
zdBE1WuKj7J1Q9~~W#+H)dY>}4H;e(X8}RekR2+3rkD`AVn5$ZIlyK61)lB;Ko$CO4
zowt~%!(3S;&Okbiekp>*g1I^6d-3F^W1(Xf$S+!}Eh-il{Dzu0x}2<hQ#EwH$4F=1
zi<6^FNlv)>7_F>b^!zzvz2NJoA_7HErGCYA3hJ{eUZkW2%9P90s}Enz3u2$~ovxvO
zm6+DG{uS2fU{SVZhj0?ZDYtakV0jR>Up&K$aBDTML|v#$83?^xGHkrFqD&A^JMbe@
zfLc`p^#ADsphONhow_e{IM4trF+3>&R8ei)f7AXZrj;`ZjE+JC>&J>di^ZGzTN6+S
zV3v|Z!$ENgj^}A-mYR)QFQ<8axOv>z6RvoDRd=w!iRhtgEE{q>qB5;bn5mZ1-xW~{
z(pLPo(_T<BL245BUS}jqkE8hKT%|453pDCLo6Ud{LXP&oKe)tot261VOKn^wDagjz
z+Fj*5t{^eT@9dl#8JfxBkHf!2qk+=F47_otJXmNS_%50HR^*S@>ej+XtG0Xn?7Y5&
z%vY7U;>!^+_dEgnp1DKEZgPpQ5fa+z_nZAEg9H>wLR!N21V=_%4yydBzko8ib$ERv
ziBV=Re(J&E{D|>ryT6n0!xp=$xR8bq^2n|#s36~0_L(=9^O_?xq<YwDoFX2kCtn}f
z;nEvp$_g{r%57S2qh6`@R`ikBy|m8qfvmlG9=~^sVB=Fx<hmwrLV#br=c03cjR9T}
z_E6=9in1PU<@OT%*%zk|(Ip$uYkkcgB`$MSu|^R(y~_EkFEG9`)jDBGjTu7rH5T`U
zP+9UL{<&OvrNh0^!Sv#Sk@;O`YlW5Wgaxdvr8l=0H@^I^M@w<1-YGs}Q*a@C+p<1%
zocUMK!a6iJ?wM!)QFcRBKsn1{tYpb8)!lsoAQ9DJk4JFOj(MI6&VM^5FPqw%f;x&`
zp07|m6OcD2bRerxIbzHtP9wwU=K@75BeC)gmi$xTs<1wYP=GX5<h_;;bF(9hqfHgp
zrCsc`I^eMRKeQf%w$ZHKA@CtB%~DJJGl~KF0OkxXxW_(ImAF9}8~9XN4^@>8y{Bz1
zX%ZAkP`Gf?sz8;puQ?Ib5N0(N8U0(3-=DklpGW#O$;lX>G<BeO*Hb7jBzbBGaKacY
zaB31Lk^4=dCs{QCD~dmvJW*QfgIqlpwGgBN2j7&k6JHR(i@QiJ0t0fuxULI8ny;Np
zg$_Vgpj}c?+>~t!s;d?o6Z{47*}x^2PBx97ph_*>;3PnZDiBb)J;wVNgH^fd9M+@|
ztXL`U<i$4E!!@XjzL#tYsLk{h+GA?tv+L`LL&p>Bb5QN)K$w*B-v~LG6Pk_?Rf+w`
zz*OU!%QFW!(n@{kJQjQ9%Z*@9DxZLI%0Xs7Ke9BCul5s%s8EU+wYI*#SR#p10HTr<
zOGcND#5OLUW8LW{0*`!OiM~)Ga@_+3AN`A=B~*7HSH2k5d7sc<7-fQ<AO!Hp`y3v%
z2P;*}Ojr*9WFMdWFoGz5zWbLZCM%_%kfmib5rx%w$U1t6HuwM;3ru_83)?f!PczG^
z7|ph}Q$ndiD_tJT){b?!&W=!^x+>INz24lwqmt{y6A$XHzQZ#2j>+hM@j9%Wf%UE-
zIR8fw)rrzg{6YVpPlkGt#tU=m(CLJ!V81gD-DP+G$D?DiJG`58OK}mT%y;$+s@!-x
zt;fn9WAOP1m6jGiCq%MB)x*^)f%bw5LoYOw8V<rD8E{kD_x6@)_6Li;7!<6+%F)V+
zmYy;sJ+Qn<0{-hkX>d#?`V_Z2&Nxb9@lF4w^tXhlF=jQvb@fkJPC}d#kTE7m3|*F<
z02wk@4q+Y@?x!m;g?38%j<fIn!76LC@cz&Lp@oAEp-!10+zgF=23!5g)tvz4jq6se
zN0CW-n~!~2!C{@U0aXL0K*O2387HPsHh2@flEY`fqWIS{DRJ4AHnF~0xf$Qj-}mEe
z8DAC}OpyGG?E+g(wSBEj>}k+5;`Qim;L3L)c@<vuTb$Ov-~N%w&ZkJ~i~mU)6|W#$
zz^Pf-7B$H1V`6`xlj_TKMW}mb0$GP#VPyWd{Nuls4>{DLhf23K67qEim_-=M%-vPP
zk`NcxO;yuK?qPnJ1vs9GevkI^Bo)u}*fv=}^zn`F2n+knnONJA)B0`ye`rL;3;sXM
z+Os+EOD_H}om3BET~<*8{ACaRLjj>9Ip&J@IWo8nS<C)0)^qTMv7k{<SU>1@!gCQ4
zTZ!+?3?0VVT~FO+t)paiG^hqZH@V*=h(%>Lv-Nw)^kWEFJ~`{S*vo6k!`c<spCD>3
z<99kY9%2`Ld*}4Mype|G?pWuR&4a0OWq;6!z69yN&od3PD^QNli#iUPyYfSL?pfgm
zUYd{$DrcsX(VMbY-m*T*1{I#!LKrIAO-3*f7E9mE1Rg#vEIOLKZ<_^=xI%6+=+Y5Q
z-1xHxVZ_0*HX9Ss&E?A`1<sS)-)*;3a6HYcA4Nh5rJ2&FGF)xKvaE#ojx~1ke(GjJ
z0@&4s^L4qVl>gcl)mMNnBz;#6y&`WRA}-wT$&y}l9<tnmRfvaWO5TW(H&*OURzjvy
z=FXFiYrQ~sIgZ*9N+uQ8<SBmqFoxLA8n2|;C(_-W2HQD<otuzM1wBD!hEFvs+XS)r
z>lgA85U(7{rwU%`_x_y+uRg4<xX6x})VgzHQA6BkduE-$!ufx3Bw}ti+!;u)z{9fz
zLF9(E<Gv9dW)?vYvPjPX^Xi&}9r}oME}p#??mQ|p&l3KD&u{2J7u=PrM)h7`9ZuaH
z`rV3nN`;;cJHriSyOwlS*+I<E)rjVxF{-ym&fJeZ`MA(+vVnd|tc}wstKVx3$2Isv
zWK{ia67us=#f9*d;*}hRB(y+l+c=Xl*2)53BSr@`ib;(_I}^AgnU^K0%K6t@vfBRg
zAV&Fx1%i3Lxr!s^J@R<{6dH0Y628&uH%Ee|+3w$>Vi&d;9?bIEj8-hE3iN0VN!&sw
z9EeXPb_$BCtK^$%FlqIgAY3x~^PGa%I}I#ieSw0(&Z&%l>-UAUBEc>hI2(&5p*I_g
zwMW{08|60RPZPP?>gNrhjkC~{d6<-)tl-BW{S4zr?Q{LuoXtHM810AG;__*O9AT{8
zX)3l%$RJ8Be@FgZF(VNJ2tI3xECq(HkE&;nOoM|P$KP-?_3;J1%TzO=`PPtgy``S}
z$XhZUOWFw{AvDf`u>Q87XQHwAzV5M7(`EDT6l|3W&p!Dhj{L<&GRoY=07nnOjyFi<
zXJV!wP#ia7uYkWsBRdP-TiE{FiF0ky-Ou>2M{?>#-g2Az@EuUesWvi9t!`?=*qB-G
zt@k=@+zb8qPGeZ(P+#Ei6e!MH{u|41MOFbz$gTbB1HGZnvd+>L)1E9_h(`i5&1g31
zjurJwKcY>DeYc#aG_IGPh54F7koG6^(eDB;PE~2<^Q6S|C$jU|BPWd7`-xellR*V%
z#=RPNZ8Kn46razryd_J+6b1;oXoj%L;D$tqOcgbx7LR@jIowOl=+a<OVHrm&naRc+
zBn<u%m+-qxKtqw@=;K|gU%4vgT85y7GG%92TBjbRmwxD0O%Tb2Xd+igG|8#nF)6*R
zRiD`}2kAPDB~ZTI4px#~ICG6PgI%d8fov>g^to@@gs|um`s3d+bN{G$#g`M@vQ&Xh
zomHIE&w>Z@YeXDZm??q~LYyOU|4#?ti5!-TTGq4;ta35SLtuc#hE&r{#oqJ+f+mGW
z&xM1gy}@uZ+g5urZ?JS*|98>!PIwQf+{@L4l*Lg`S(E5n;QCKJ4oJQZ$MXA0eZbaQ
z?A$8$xn6vsX}M5GNQBym;-)%ij!YuHt^-f-(x&NE>-eD9;Zvslue^njnAfwhN4kcu
zErC==n;lVZMLEM0+EK>)FBtKI5};Ay?Dl$rs?eL#AV5+hJ#F<7N-P2_NP`N&9p&Xq
zzwHhrWI)hf>)z`Ng>4!G+bH>zh4gmkU9W9K33O<YnHEfu)J7{LZ<BZ2NH<&e`|6#<
zaJyCNtlxJP_2jbIL9Gs+`KEo8>8*riX(Cky)jvAroKyFqGFSd)6v|-~DK%~hq8GCr
zz_#zrB4bOETM)zPpCO&^xEuGKqG0VT`()pYrRGZk+e59=IiHI^^+Dbu8r+Q>2_}3T
zBkO1`JQVx>{t5I}tR}a|c4E9vK(sWxFrk+qz0!q2KJk%n*Es!*j87Ev(DUg4QIStt
zHKg3?M)762s(B?J=?<Pc5w2Vb$IY<!4PN(oPMnjgIW5sg*{{NO=~yRP;`7@SZO(~%
z;00bQ#*SQyfOZ*3ZVSkyLQ}XEh0uh)9$;*A2<5OR7N*K8arosB%r;s3m&(Z%?}H&z
zRNkB$gR!xGoPyy58X1MrvfO647nlcpxnj4K`2A{(b@f?fyD=gl5?g;JORqowT%sqC
zudjj_o~n1T%xtYEniQzL{mTNPR+8(bxY`Ok+RBOH%a&KIPqxjOr1Nwq;S@W{3yaO6
zYM61ky1Raz-}W1wZo*SoW8<UPvCk|1?2#GWTwZSPJB3PVO=RgtHlEhQtKHIf`Z8a4
zeol+A*dl*zEKyprbGxX0^y0^64BRVpQt~P~0Xd)&&`0JM*r>Vnf5xJ{V^np3{{PNJ
zx^pohv^%NWB$>J0kkCGf3pFV9{r@;M_00%YYVh(({`Wvg#|lN;{a=kbOX|H18sLHn
zLFaMfmS~1Y|2~bjy`?I-!vPI%paW~i52vWM1n~iL)bC8v9YDWFI#5~}Ejx#Rt+Nkb
z$m1LsG?1xQq$e+PE*PwHB6O{$D`_$VpOL<N+k%x&`L4coc7~OA7ve6v=D>UXoZ!#d
ziQ!Nitx+YwT@ZLRVs}%KLD7bw$`o4eRAjVrfcGL!$vCBg$8aKJco0sgvs;vy8*F-R
zY<8CLYaKx?pYoAzAzvkh(c?RX&t_?`46-cPbbY4|WKncDC}3hd)R~H_Hm&?1e*iYi
z4xq{}T$Q`;OZ}p1-L(9ELI1s5@xiLtlvTtoX2Pz_5=DOW%lYM<I}<JggSnzM<VnEq
zEd5h(5LbFLf7+HQ<D%vVnn(pyQKM(B?&J~m$^tlY;;0Q~{zlVH!o@o<m<pzvdnC9q
zKX#Ga&d9`TNk%0dzFM5k_xbtpM?DyUR;eI6f0o0P?wcD+U`2U?CYM4SCk4vIj|5YN
z0<w^aG#`@q%mwWIR`xUL9$^_`g2JZE@x);ttO!&bm8`pM-bWn+S>iy9Vq7@XHvaHt
z+j_}407%{n0}<cAS7Y<+1<HQ?qR;s4RUI^+XvjLb>v2cPsjW7YlU?xm@+?J^i#?xI
z8uOB}Mt?!S9Myb*g;KSR=h?U#T|DCP>+QC>^_WqfpTxg4H!%4WLuk>Kt|h6B02Oae
zz^(dnu<ITKVjcyEJm0-u5ZYUU1cx$er#@vfBbpC=jW~a#u1t9S?Dc57Hv}fu3l7V#
z5jln7^CrG<AY6777`#o6`=Rs2G_eS{seB6mq%{{xW8`$Bysbz`GKU{(vIRJmKo`Y+
z<`$r$KTpVJ`}I?Kw`(^=l2V?uQial)kuGDtdFNnx!(d4FSM8tnkoYz9V4>Mi9)GYK
z0kVy;ep>mYu9`huznZrF_cWqz4cB16&Y2b(!Sy}foy+jU-E>7Oa^{r=fR5tDf-Xej
zv+?i8hvgyOto0nUt4h%UlJms1;JUdf`4BSfctl0c@r<d~oMu`!-j-U*Aup>6NWh&t
za83`BCkcq`U&VoyrIg`vJFQD3P(ztOt(03wVqC|2(_7WKK{8{{P_Kc&%YOmdV~(B{
z=4}h`dIpR932m#RiA0IF#9JS}QvIS__PFzOb-p|>=azq<F|~(BEW({=jSnz5K8xZk
zqFth3L)2*3F8Z6lqH;}U*o$Fv>nDk9o;`_yH)5Z9K7g%a(eHlVCO7e^>0Fd5<x23F
ziVhI7$>^o4+%-Sk=yc4nL0-)+b4?Iw$&C?i37KHb{kvLQBsQKVgYSyTF*Y~2rE+Ii
zG}0yKKyO|r{?s%<L^1l_>3FL8S5e1g<+Nm<M_Q)T4-A+wKc)HjSGa8a(2;-7{U*3m
z4L2-02e`(Y`)18QOsTG+zKMNXDi+#Ihz5X}#0Jayp@I07{g;JMbc_!;u3|-<ihyZj
z0IG@FwRkHX5x2YTQB~sj4pi=_<$A16)DZYMckf{v`BWHK$pc<(>ZomCW6Z!$_ydb!
zuT0|9O*U|M`UNJaJJhOED_DXN&U8-)tKy6m-DO+2O6u`#uks+<ij0x}4$_m<142mX
ze}t)50%4*-MMekh6m2b0Xf_GlBZ)@mxe?-czYK!bKA87ctA`GZsI}-&gel#+r~W(4
zs^(NXRi@A_*U{1`oQ&=<l7noGiD*P?G&Lp+?K$^w3b88EU|(gw?fK_#r_@kWr<x?g
z2~>2Zf=L0w%@&9bM0et@g6CaW`PdOGbfAK#{JMn^bDRa$z)#OZgexx+1({dw=6dIr
z{*rhhb;-l{*l#G%S6I6T+yRoL=>N*KbZr7$e?*#mh%*k-jmsh|o}Wumrs0_C$pWVU
zQgN*&c!y5t6KtO5sb<IB$n&V?%%SB0S(_CxJ2FF|VvhMEJPIVGT0&*SIRda=FPU4e
za_QdI-1M9_oB(6lS}$RhF3zq*K%R?To!hTntDy?!>!a735$1vfEO&2CjrI(`wYY~I
zLb?6O%PsH$7<`nGef=66(Yh5&V^WN1Ka?X8KlOPRzkH^@lo!7iu4P~fB8zpWSdSCP
zD~(p!ENeYe5<jE5>T4n3)LQyA7qP6|L!sj-lbAiC7C$@Bx>$_&`%+T4w?MLfgbBDz
z7H(m<Z6AXxNC!1*(_ml20F!5$5&IF5d6_yUvLUP2pCtO8$y<zvtYf62KA-cyrqS=$
zL^A0nC_ss$4!rM}@H0LO^*`EOR829$TuveMpiLTGq>Xr*2~tEUh|7Mi#3fqcyw8T!
z(M9n}^d4#CA6YfojWk_9!o&7=oO>%|4gT<XW5@ZYsZBRVbtA<TX4)%Avn;L_ABhH@
zq)KxgLASAo;2y+<X>@$pLqks<^yq&kp0`;=crb0)Ik7EcXpNDNn}%YI;hoDhc@!Nr
zfP*Rv9%fS$o4NWz%xZa9-xG*x_n>pq^ox}n%zD(YYBrsPCa&k=cf=zY$W)KjYK9q;
zYim<H;BCrENDKaoRpMx^=~ab4hN7KMFK8^=GZ$SK@m@<Gfihg^UZXQ(RQEX^71=SH
zpzgunBGvX(kYPT>t?c9hDKV4xHq|D)VYL;X&TfM0jjIsc$D1^J)M+6f%kw}AU(J8{
zn8bq+bU38czD*88MUMk~L3BG4v1GXU8+&J^|J*s;G@Vaquy&W`1uLqEk&KtJEi)Cx
zXIJpdmCjfv&ulsxucc-E8G+E(Q`esemK<+6iJQYiPyJS?zq^^s66mslq;d-MmLE&s
z$nA}p<A?*yGTUr}Mi>(|DqgyaB*Y_3;v2qQi>YhXOhb4{E2`>lt$YFpV&y`!kB%k%
zuoIKe)&G>Rw-#iN^p{-t4H)G*o-DD*4c-w1^OPWcWq#?NUESC5EY{&iqVzXfgbQML
zC6(HG(?w^m+PcoEvV5qaM#(Qjzl@UhzX}-%LFX=WHo?fr28N$^bgRDY*Y_|r?}jN-
zQ&3=-CI?UL+VS}MiigykwO2uqB0Zi4OA4h=*)#)1lAYxcoUy&|Qy1^kcN11V?<|F~
z6S<Sa6*k*5s;3}zA;R$SIR*tQ(~>{lL`MiQiv}%%&sKvN5Z3?DT2f+pGn3Efd)BZH
zkFY?ZZTu&%UD<AEGLe}%S^D+<6Fs$S!6Z@L$__SZUsR`L+!p~y_;4C5XGct-&9qrx
zMCX8tKHH&CTCKRmSz;u#Xwp@6Jdv$l!&H`Dk@;@?&4gQ_z!qNAHN>w^0Ov!p@8LPq
zVsH)`2BrV~{DNi=p?t%Lh8UL~#97O^zL!JTS}$kihD=;74C7Ew(dWJW#Z%G6@RIYo
zw~hI4>hZ$nsZVS^V$v$PJ(nwv#6RV3ZadG(HbUCsLwp#D9zv=Jw{Z*fRHo!EqL^Ev
zr9ozM_X*0Sm)|G4hfWL6b^CUHs`}md&%MFZ>I&#{f2KdPt+v@ja675;BPthU-u_G#
zbSn%=!1ucNmeZ<j)@A4Ok*N8KUgyCM<-+A&P|5);x$}>*x4Vl_LLm<TJY>WFIhtdE
zL+hW=&tvW)U6PSnp{Ro_kr@wEr41#5IPP|0>?)_0(h#2dj6x6p{}g-M5^z0Dyn$S-
zlsBfuf>l+(tqFLPUG&zk$PCO~_yQna*Pl~3OmsPbzdC!WVRUu2XkHI)q9hQ|BuL`}
z*h|09DK8$rq-WT&8JL_Mk-%4U9P$urQ8`}o_6BTqEv7FnJCaGQ8ut0%bEO1m4*=M-
zA#v4r^dBrDpow^ih?C7s1hWNmi!K+at>~?(?5kndLDR1CN}VmOF;^#2Y6;X)7x}Nx
z=e?mU{0Onsvpap}Z-Q5X6>r6)x(8J1o2OBa{fUzapQ<9CpttP4v+0`*zX_npcO+G5
zp$x&|O~{a~K}KlOz+W>8+V{O~;D@YeZXK8JC0BMofAo|-oD0YE=rvEh{H3q;RHmqa
zE}o}YFee)1*<9GTQqR~)t{%9%2c2b1P_U93E%p;rHTc%`YZ~6?$6AYU=@S7xq3hUp
z1iJ7HYB{aQ=lLgg`AWR6%d~Zf(@#Q^DRJ+dvkMO;+HdA>+A;05nOVU9MM#l5o`~rm
zvt<6mU9=ACrQf5|^og^xk8uE>b&@pSUs3_w$gki#Hq%cwK)!=}%E{7^53BuV`CB6$
z-;Jm$eq5@Q*DnjGq_F0Eec)Vv)SCKxP8{bW#KBRVI2MKPUXJ?1WT7~bF`+!B^bI^q
zl11?4kV(#QqRlq#0dvYvk3biTLWjwdlrJBDP_W)qiBQY6f5`rKqswqE-cMx0<wFj>
z)f>Fq8<0S+n}~j9gk3#^=rVzwQmB|0h!g3Plji}q)IG1Q|DDa{+Ied!(!|kmQhJ!Z
zT{n-$BL=xXT5K{YKeS{yOL4zXm_7DdHt%zecYf8X;;wKE+}6X$;ZKjh7SlPHYAH&1
zUNz)<s7Zc48KxVe?sY0peDQf7trD;25{IgfPM>37*D?sa*nUpPn7Tt!G0I<Z3cfow
zqtY%b?XyqVSDN$+`iaapC(~^o@l06}>K@1f-xUx1hgQ={O(;$iZ`G?sN`*j+lkZGK
z(}%(BqFpu>T<x^^hRA;ih{BLLjLI_2k+ud37FUq7#@`!^dC|!1*-=MrAFF_4Eu_nO
z^*Z&N#r+>F8SMI&O^32RFC<HNm+CrdLEb{RJbE4pX_r2!g<2*L%O^kd^hj$l|28!!
z$AAS$_10(O?2Z(Az&kr0ezL3EoJ;a<g#94&lFrSVDz{JUC#0&4>8LiXrZMh<U=i0z
zKv}%8@~S={yH4=P4G(gY7vSObMkfgkLzmAu@tp~Gl5LIc76t>bG3_NNh^%*J57bRc
z73_@B<}*MnT)X4Z9B9y}tt6l}dV$*RB|wziHv|MuHYx&^y*Gf&v$Elf`JN9)tmHnP
zX3ThJEC>T}v1A`=;{BVk_q;qSZ$vA6G?yQ|%rZkG*3_Q{d&(@N=BH;PS^9ZdfS+d8
zTMGjQ)4n9f+U<*wl?QpfRC+6jF-g`}-!`*1tl&#Sa$CglyZ?)|Z*rnziS(kWP)M)h
znw4a$tb+?{L7e|KKG1Q%5ZWGB=T-iqYv{l*$v=?P3R9ue>PS%_`cK0T$B&X(DMfkx
zarI=L$KHxG78gmwL7-BfNIEQfsB{sVZ+a|QEx(w<ufu89W*|B+xqm|1f2jV4fb{qh
z*&}3mo}n^WB3i4q<-@9p0AbSTXyClL+k1Lj`G;P=(l7Ox+@sv8%FTh4_}TeoqP4nb
zlsi3!-~0g<TaH&m^Jl&#nys1ruEj6s{~r1t?e>4(EU)7>k}=|cDR5v^+FmR&ZyPXq
z7Ftd5uGS=-P4Q?6AlC5x`XGW$;Fa#@i80f-pXzj9Hku&uV!<&Ny5Feko+|4V(ugOk
z3I@b-vfl{^2BZd$IvLW*YxpLlX@2z^+<p(Q`WvZ%HV&+PPsW-RlJlfcv^RPe1IEd)
zM~ZoTZX*wnn?SiuU}>Ml%EyF1c@~Zyu>tF@zq~F5fFiIYVSi>^qBN?8m2p$^3K|5z
zkdR?Rr>IIR7VXo+96FjnaH><_D{4qURQ!Xie~|9^({nhgFSOne$Gyz^2S^x*VVawG
zwS-6LuXjIwu{>VHNXs=ZxCJ=tKsgX>6NwyhxTbwZp2X#+tXn^>>xp!`uID%{c3Pax
zmd^NtvLNiD<L_h+r#)^w+7|CA?SfuCHIKQlj=g<Xo;S$5G|oOITi|d5*UQC$mc3q&
z|EzmcywYfI3~!AEis25foOppJ64|}k!&G4>QhCi33W#vlsz-J)RtX}LgHOCc7I8uu
zCImzMz<6Zw*}nfnzY+F0qp@I=nL<{j1nahID4yg-h*NKvU5ZX!5U18=z?+`9TSlnn
z52f{K)ttQw<d!rnFRk))Gm;gH;kP@U($1sEd9D21iH{^;)XC}#Xv|X`i~c{f@BVTb
z8wjVqP)s)h6QiNfDbv^R1u7emXce^yhLI6<<R`vHQEk5VulyNyfwTlm|Io6yCX|ZR
zSokT%>;s?M&b@l7`<!?VlVWzAKMoE(IogY}EL6p0s`<sbq%4?(l>A$Yc=MdL8AcFH
zE)d0cWG7DbQ>z9%W*JM1K``_c^@VT2Jm-QjLN)21>r47x9R8tB`HLTa%i(nr0xa~u
zls#81xL7z$67}8U#_t4BwK=hfbNCzGtRmR?NKQ^5sns!@+t_Ch)Oe1<qk(gI7WpH8
z3}wI2`WJ`<&%b-K?-V_CYITkWA{<eiqOWU8R83(aRS>sY_v(Vo@&OMm_ZIGlsX<g!
zhIRWKpFTFUG@}(5M>)>NhSK}neQs7(Mkq16uBB<o11<-muj1u<sA$3+bI5YF!5bQq
zLR|!2Yv5gRA*6P1JI%T5zUqfvTW|B)Rx}rCZSZ$hv(c6oll!0D&mz%%;&d~-NFpMr
z#_AWLcR21j+{jb$w9Oz0P<1K?X+*FmoFhMJ1%{jfd&v4@E7m5$oahOLT*E({IAtO;
z+<46x+9#r`j4oW+{~xa2GANEV>e?k}@IY`6?(R+q?hb>y4DOZ?AP^w9JHZ)Xa2VX(
zT?Ps6?*5#4zwgvJRqyYq>Z+;kuD;jaYhCO7Gy?5CtEDK7^>zhkG_&Oh=hbn>iBF7F
zwG9(#vY0Zxf~rRiY|{DIv8D3Be^f5RyV%`EMFUZ18M%u?akyj%yF;HKzu?1b@?B4n
z)ri>P+XD#ny}3UO)=Wa_wsB|+yv^W0dBoloMrA#u7bI)e-rfgar72vg<fge<H%JHW
zi;cTMh+re5E|)9pzO>euiImP#jHGT<FANc{YJ~dB@OrNTJAbFx6t?81y5Xv2I8P!`
z&BJ%R1up}(+Y=Y83CjQ*`WKZGGgNm{BB6sakXtDIP^;ZPJW+w_e_1T#s!Ua!s_T7?
z_I8w?J<;EsjbW2fp=$Nb!H*|rCQMt^zn1)U(!v=2sMxX3{5xY86cjvpUgFuTMg?XH
z49dJ<Ww?<yx7g$wXyc*Dsr%1HfBAm<S%u~_z3STz1}C=SRC`k-odxzZTG(Fd7ZMPP
z7fWFo8x;{kiCsUlp2;v(79gHO6G^eF)vPZMQ0a^-#LbN)xb|B*gv%(T{+s{pX{*Xo
zO3(Ew)x&nq3x47catD!c)UKpwEsmn-BOk{}Zfa)<w4{3us#o#(+PSm;=^d*vtZ_b=
zPX0f|V^#9c|1T&G?f-_ab6%vNf4ZOuy&t>HK$Afv&x4(Mk0(|xU3R7)87(-YRYmS9
z_p1qzqwG(Jlf%Y=uo~Cf#U^+qE3Bdeij;X$QV^~N?GK&uYgZxaI?Faa+uxQ*WbiV+
zT7Ukultc_RTt3Zbk9bg~wj8W27ICiIlcrLM1`lH5tc_Um$gWt4v6xIu?A6oIdyLR$
zldf|&0EjmNJzBYQem{o!aSX*_12b>$dF)exeooG-_mHw`K;m%QFuaovS)*3K_-Z9q
z2R0_O?Q%Io1LXPbZ%JifU(gkT(R3A!a8(>zvNC^UQ#OX%2sprngjCkRWGjO-)#&QB
z>S1Rf$$<i{BYXot)m8dZ2sYJ%Etzzk^uGPph*~L*oDVGWr0!A};V}h+<Zz1PXb8ja
zz1{e1=B($7AYF5RsMk3EHF$#Ka36CIy8~JBd3dj7#n)Yf_A(#dc=Y=Q-0eO?q3Qi-
zr5LnNawjGhur07z?PH4{X3;T7G=Pp(7TxT&y6_(OS;SDgs%tY>#^z{1uFyZ{-=7N@
zs0#fkQztIGDB*(5)T>A1Ar?#Rz=U+WD@L4YkwFG$3%qNPyfc0K#&V=Wqh8z2S?M}J
z`^)C5wmaiuJ7%H7;vi5--ZDK1YbMDAy+@^~TuFE3NY=F^F<O;*=l<9HLEVhgnXNoj
zURwS)$Q;`6`9Ah4XY%lUWRJSPbj(@6wz&#HdFCu@``egUyX%+@oVw}<3B`wXY7v5l
zSfy2%-})yJ<B<`5T`A+b;=Rp3eI-Nk>K@n&c><UU1@p0Ks&V@%ysaD~%U3Jr8In4c
zq{t5mK2)LfEfMJIf_9NUcHnv9x44zbfmV}sVdid<5)zzDqgF2)NYWqsoQvOH>xP;e
zBh+<C*A+pSP7}pI;a{6DLIPxvSg*q`HrVI8T^6`#O|Lxjb_&zC(Th}ztc!J+Q>r>=
zob#rTLGzbR7oMl4gSVEgg1KF$SCOkMXBn4v^{WEVQX<($foiuLBSHT;@6S%d+bAWs
zw;&qhZ2KQd?(4f9T%|GMk8s$k!0uRrG3b)oh>!5v`ICL7n{Pe?aqNaJaSxq?`8Las
zzyaT@B^D#^`m45Haf&vA*$tYJ`G_=E$`s%cC5|Z9wumJy;iVG|t^C)##hPsUMrS#T
zGrBfmc^9)*;#e8CQwLe1p<>t1zHPlWZ(#F<o$!6V>v@z-$X~FuSEap!B@TG)o3#}~
zqgy*IvxM8*9&@b7vFEAq^AhEb<9fQ2C9!)?>~|FUGNZ@DOZK7p$}OR>AD7nOTbGcw
zgCeNyo!LAgPSRSQcE6T;<r1QobV*T8=}Q^B!<gHT7i;s7hF<9?#M<W5nGKJ6z!os%
z7vg)$3e*8!A(ASYoF(p(J&fTuFJfb^n)tmew+cfAg^E`sN)k7Rq;3ZRbY4;6R7q@&
zH2SAmuCNxHq7u6T@iC_Ay~q{~+<cIYd{nk&qs(g$?F2`oOao?j!bYk>d<p6ldHH7-
z)QHbN?Q8ISn3){JaA-g7S}_tGX^tkfntf17JaZ~S`{x-|k5?f7z@a*C<e=af<%2s$
zrtcO!3-0$I*(qU0FWgs*3Sv%NsYl-U<tA0JU=;rT@9ZOdHs^lDTl|C_oCIgZJ}Xnt
zQ#oRYJR$SS5Usi;u#gVCv7TJhGvV@8A<|=sYz|K87e;T%rkPEGZ~=XjY5Q;cA_FLY
z|DU0UFnt8-_`jkQ$qt&|`}HuywK7pzrspx8HO6Qxq3K?5*yF-(nbv&YBRN(*l}?(q
zN~7y#`?9qKv}ofCvCdfpG_KBri;S{>6N(>gOv=W&Ssb*>b-jy86Exj^xd>RA81kjt
z5;@o|M;cf4QLa~hzLJB%V{Qo{Fl_dK><<QCOCjNo7Kw|fqvvpz_wQZJJr<xKVPP#t
zu7^l`!2Skb^k(LuX_Po2OWavN(95Zo`PF`Cxe>Udst~cRg-FLONnw+VOJy_*lCLqK
z<vc2X_@zl27q^RFWP$S2BVee%)v-yyzLg1?2<vVS78H1Ab=ZLKoO8ULs;4o^HQC&f
z@pwmn``c)&xvH&n3-NQ}PY@+$boaMu(cxd>YA*(z0~o?910{<4N}*q=Ara=<XpMV(
zkdOIkvn}YRe}pCOKbua8V_0h}b;?(sNW@W)wqH>n;Y<!{t_u7IhjpPSM8Dc>Om5P=
zVHVLKxz#*j+|+Ixqc=)CC{%^|&U_^NA6#VdjAMVIkzpsTQx~HIpr`c_3N;-N3gq%}
zq^bK<NH_IjD@r+9`-^s^GTT$kP`xHpbMBzN88WU}wWKb*#I|`6mWdMLh3b5}N)Exb
zW$#Ncfcgw(iLgoNbS$FvA!To9a>Mdq@O7e6FRFIl{)m8>Uuv#{USWl+qX%6_#%P}n
zy}mRr-~CB{Xt3Tv$Zamp{FEmQCwY=!#5Od9jn$b`x~9Yxu{QbzZC%=o@<e4xoafMA
zEV*9s{E(K5S+>R2#Ua;#0r;6dbNXUwUm1izQ!MA0Ak-hM#6Xo`q9Xv)!`LfFoa+}U
zuLoR}0jif9>E%C=9}n!S9X|KC7TfapxqTDA7aI^z)$54RoE^Wnr&S;-GrC$LXD*M}
zfyCqMIJ>$nR<1PXd0ZlRmNl|)E}nMZ;%9br7newpRpk85wxtFSc3N#|!0%j`d6j3X
zjP^Fulx<fn^B);UoJ`sq87rlIs`w^pI$G0j1KrH|`FVc3NoJO*=k7$in9`nAJH$io
zFJO;!1Rn!9eZU*X<;;_y*4+5vfm7s4-BIvJCV|^qS9(X=@57Irqc|5*xfVh=5^Mx9
z=D}P97N(~<e@!yd+B^{8+cVt*k@;s!O2xE$X5%ib#t;9&slkpSEkVFN{f!WA3|N00
z_VTdh)_aK<$L@Q|(dKg!%^@=ifRP-yNcF#Zy-gp-xc=P7TzU&9JN{_ALkdiK`F1>O
z2fLH6q`YQ?P+y4{<(znm(6YyZZKyp}E}5(^nHPR&`SD^RbGj_;6cySk$v{cHna^KB
zE2o1-n-OcElh9-@{BEBA)v@uZ{d6%d`(JW-s(bMi@{WOl<mwOJHiw-d`6}uwYYGi0
zvSMvIAY*6s8VSw=nhtYCET`4KMQ0WZ4b@`J4UrHop@d`1uQTitUbwFb)#D489ZT_Q
z$*ZRM`1y405Lemw8uh;YAuSyzv~@cV0TbdljhdY3tanZL%qtg^K$YgpxCj?f9zVyB
zjdci3sk@r8Ue{a3-;@GfW<0Z{(SJCBbUvFBQ7mN&3{Xct10@%iC!6IXQ>BFYUlr~P
z0om!X_R^}q^Iz2#UcYQhpl=lKH4`2Y+l>eEA3xr7i(|F4T#Xt#WCl)|V`O-r3+?co
z)sEfA;Toy=Z&)$^&?Z00Z|#I!=0#OD5;SQQZ46SksI;u+BK#n(USu+RFDn9x+;AKZ
zjcqf7+*?jF<^e&Lqip|_Rxu)fYR&6>H@OG0SqN!FTjpy_M;&<CIf1=`J&KJ`9m(rr
zOK-tBf&0CrrJ5@yrn8MP_`XdO^9v1J;xvyGm=?V%wkqSobycVNPg(epmwnq|8`bvo
zIpwQDUBPZO*coxNtxlgcvea{EHwcKDEptCs`54YQp1m4DJ2U@TFVH*{c0XA?FA>n7
zn{c}4xAMi<c`#0a)>hVi`*a#@XKz7lxI9S*K}2A54pQHeZuG1PH2qVHZ9SBP*iw90
zegvuA2Bxvh)OeYkzJK7FBHBsVXnm>ps4wb7(rz14<O;mbd}?A(kt2z?Pa)#-h=J`X
z`p+otp~Qc?a0s?SuR;N>Y5icD-e8Ws`5m+W;8>WOf=E0bKg&1AB%R_=f6hy`s6BoE
z<ojdsdfVX3O@CL<mtji9z84L?O6ld&U6-jVg2e+h`CDR(&V?$%aZRCRY!4VCkTAk)
zUhVA7U|0PmnhUpFF2ACa@{&CP#tC$;G{YHT4r35QDfTRH7Mk$mt7uJZ6^LtX;B;z7
zDlp`-u8s5XvVlud;s|cAr(I*i2?&H0Nn?0S;RSy`Nz15<RnmL3FLEF-F(TOB*diT|
zvf8Y;7kXao|G{uol8{f%R;0AVv<L1vE-bwUdp*fdsVRDJdL(Jl7FUKB?bHq*zQff*
zeu`}Z+aOOx36t&%9hQYq1Np#oUC~%q=0`Znv{L^__qyzdin#cyjlDm1$qL>3rMU7B
zwy}i8bkUJ`Ma|oJUsTRDu96fV{4)nwj1qwdEDdft-}Xj#Z}}L`mw#MAILqs0OGSJ^
zHFHXu+v6BnR?bXL@(Pi<&m^Pa^a(_%LMX(bO-Rb`(F6Ea&N~{_z*#+69U3pI32!DI
z&ZJaw=Dor^2BIE(#mW8}%zfNma5^30`%RQiHrZ<Uz}z25d%w|`C+cBgrh6W}duf<+
z3SfM6P7&b&WFu#vU?oIcshZ{4;sV>f*hg>aC-&hj)~OZ>l{98DQ<RD~P~%EFF+`su
z4FR$zh+WzR%kLKtYpu#?GsD26YZl_atU~1>cw_JWyMcW-#r81g?x)w|y5u#4k~u9_
zoR;B(BW2yMPZ3f`;lkQLGKA=m&g5#l-w?d`m7!P}_=bR#sx56aYL{(FHaD2prKbzS
zH%}|^L8E?RKF_ZM*sNqXuoHkWzXT`WO{S+xiEoJU1QOww0cal=6IbNgN!U^%XX987
zE&hJX4kVEyAbSJO?ASKl*}XA$=g_K4V;6h>2M62<I@l4SK*x5XisPWHPYacmm<|H8
z6u;tJcKznq?yPUPK8Oj{o$zNeKZfP5m>^W{-$6>egQ}u+Wv9JFid;VGa+!g$kLK90
z2D&1p0J}6mAk_sXwE4rOq2}etV#9al35k04A_H^hlPSe#?&)9>+tdM7ZLUcqzl~W#
zawnSoH|fpX7QdZ8pVEynH)Wfp=Ek+*n>*0&y{`C^u82mj6zFr=$G5*95KR?-|Ai{4
zfVU|H(-y@#{X)*ZLm}<x5@BBC4%^pw2JBVRgO9t>AJmWkeLT1lh-jDcawC#IXDcL_
zeb6Iqfst{2BAb2X-!H*H9S$^XbA9Hx%)JS~&}eH~HwP@hh{?gbTEbRVe2|@`fGmRm
z4|>$wB#gMdz*tw}%XqPGj#)${$_|?h%K837Emb@@)G?I072lrDlD%|zgZYtiTgB2S
zC;yime1Clp(P6zM%9EaS`76&A#h<NzSf++6azW(=kSsUn*WZ>S)deNL38UnUG)Rc8
z&DIAPbWXJn1LwA;evvG^m)e7lb-8+Hjd`yPgL~nTB~nNPdc-XIeuy+*(G?&koWI*C
zYz|GS&30zTuG)WjA}<G@Wfq+4QiF5@aAz$m+4@$$NYMP`i323cdeI9BA-XyUI@3pf
zSZQ&CR{AAu$i>FIR`9MF&j9PW3ZwgH@wIv?)Rmg(d-`-DoTl=qVFsw;7kDaGSvA1a
zcLlfl>Cxm-ovd7k$uu0v79qAtyIku;33l;U61fJT{I-{c{9gxtOeI&ZuVOa}`?8Cx
zvIyIy9SZcTVP_NS1P9|i!+6Av(^2wKIEkDNB0d2DH6z2KB=v6B1NCGFp_))A{!jV7
z$6(OcsQEO_<fa(^Q?8eicb%LUBJqpg&<t|S*Sy)v$J9e|>LVJ_^kvJ-@~&F<v&R4s
zM=|V|4kLn7(EqnN%a4G~GSZRoG$fI@^OXO>cj`P|*pvS|L*Lv>K){TNzCSV5(Hs3o
zo-6ZK5J+5Ol|qvl`O1n8nIT1=I4tgVUbD%MQ&$4nVu_YG!}0kHWmb~l_lkDNKUpGl
z*cQ1NL;LsKXE9ehSo#u^#n7zugc@|$5dRz(R2c|Cf{Axn4HIrFk1C_1Yb(cB94%VO
z+09w9%s-}?4XQb0x~K7Nix?YZ2;6Jp@qAt5+WXG@okuhE-+7@6jSHX67R`%x>gc8m
zF~wkQP(x|`{Or2E5ZNbSYcT`enFUPYb?SOP5EN{TkjEYs35j<pKK;H=y9#`GE=~(O
zb4+1~k3{Mri}o1WGgbPh#A|_KnJ^Fbg`5#?ma*UZHlBF0l&=a}S&;?j1}QH&8wyH)
zMxmScV&6XXbIxE4qtdXmZb!qZ<4H0J+rq{mJqajX(m@*`Wp!=7-_E$4y%tH=gk`Oa
z7e4sBm$bx1Qt%`n!(3T4?YOYAgh*^vH`9g}gC&P-UgN3sWa^}r-XpVR;}Zg|dPGQz
z$fsPc%-ae0cXC_h#L2^-S#C+t<_@3|VUrWs{$h7M4ATqS7VJcPR_$qbUU_Yi;yn>t
z7O+&R%Uu5FIF^Ll^FmS9rmT94qXB`6U-SDCa*gd3V&+>J5Z!>TLjhj8(bsV?yh~L2
zTjuB~aiVC0yKSSlL|tAKa&Z~MZ`F8+cS7RW53S_;3E!1Y5uCKG`OT_(F)}t1-$=kg
zK_JQ{Mb{Qs(HN*sjcynb(ovVUeOGO}z+T`+6oDk3V$C~E9=;vVxa+?_JORn3hJ_)#
z>AP?TbaUxdJ=XIyh#2KkaEA3|u@%dE^xw8IO**78^jVTND%g+aTqT3$_;%eJ^I<e`
zEM)l#^-f>&*@{TwM|EavA*kS*y+Z@B8JQ-om{1AGJUiD8Wi=B~g0#&d34zyz%tN7>
zhwMsmQv&X`%qadOms#EWwrtsXQpU&={;SkbvD62;-RHTvh(QOzB4)C)(F3s3+N=n-
zEBAL6MQFFMGlLMm>MU(b59S@1anFtpt(lP#&qBK)%raBnz;7}L%^eiJLuIZ;RN*7h
zmO)2!5USw8>eg;aW6w*{yq1YUZ-mx>wUw>SBFfCwY>{-vM2Q&f{nws%_;mhD%Cps6
zfoX%P(JdKTRec3W#{7m45ci<W&q;$v(&Y)MN7%?<crKYT*9iA^mLFhA)Cd+UlLfkq
zC^sO?W}ve9uADLht>1bx9d2AzMKmeKbHC})Q0dq-aWz>6256u5$l6N{m#|wjH(Sxl
zb6sdkGkWdDHeBb2f1HqAjPS=$*Ho0Y>~8hQUAVaza)}fk4BlxYXYSK6W=Huw&T6@y
zl*sZAcRB0#hluWKs>iI$DPvgG9_(4GH8d`l-otA)+R0v+1?G4-;z9>y^RDD{XLu*D
zfa@w8+byl=tgHO5E&C0(E>J_sC9fk^-1X_eZ6=St6cmZk@?%PLzC6OCRD#TGR|8T%
z2>vfK9HZ)=LDomF0^7^%RRjW!5Fcx|1&Hk{usA@#hng>TsFGnIhx@3~41#sNjw~Xz
z2X~Trb131E!~Y%dARjfV<(@EX!H_ecop)rIOYq3%Qw)5kYD?YW8Yg!gdc9sBsTR6?
zI9;hScx;7UdxvRa^AaMYtznx^7H|~@L{1boT%rt#bm7qbf=oB2yYRT<ALA_!=DjE$
z-K^D3lujX4IA1#x1=d;4*0zgX{?=@4j^SXCA~SKQnpugJu`vkzbVZ+!)RY$F@oA3L
z$B(t*hTq>NOMC5?w+Z%J5o@3!*wFr@c+GIggGLVTTwK@8?Tw}CDld9(#!HMt1ro=z
z-X#tTWYYb8WloZZT<!{~JbU$xo}z3ZCcOdGwy`oqb9pY`L1-D&VNnXfb2RwbEu^~4
z+=s3dY;Pr%Y>fi7!q$Cnxh{0Y8a*zGrww`0nA>WIYL)g)QwS>xO?E|On_g8)I*)8T
z!>7imiLb_1u^TDVUB8MigF@S-K2ZRVRlnJVw)_WoHyc%Qn!1x!F9$j#c?Lf7fluvI
zau9Ti+OE;zi+rklx-+#~8Nzr^gorMpxDw8RrKw+N5onT(^|M)P?vqy1wJOU^RTS%u
ze(NN-S9V|;hlR>gQsMGs?uyEpgU8AMIehofp8|1!!XVpidvrOnUOI-o0e41I!>oT9
z<gc+G2e*=DL2EKJvGPMLRotdnk5Nb9KPLD%3b`UtS?ZSu5gf{eXJ<rIVXJBhJ~STX
zKhs0Fycm5?1_(EdnCUceejE8zp{@38Q0bdDC26?V2E#b9YrZbpiGux*@nss8W5zwD
zvK>!Pen6#O+N>1bu&oXZjy}ybc{2VJZO<`Kyj8cr<tGd8UnYmcg0Z(Jq9EoB7Dq=V
zq=G^1(7RFxluwsDAx!@)^}gy%e)rI+nzd?T$-bYE;y<^e4v+r4rj092?6{NZAR`!o
z`M6z>Ld2xG`#gP5S0v;Asd_A?d$#vR7)c%Oj#mM#HwrIss0HK{%=keJ(^D8%`>j-(
zPY~pu;ok`Qw9Z48fKK)UpYYUr=qI1V%SRZ(CkS`VPnVEm?m<~XvHFFu2^M2d5W9e>
z{H2g%9XXFf;r}D^=j8<d*VkL=t$;%%?(D<n0l8v4_JJutZzQilFaqW`!Mdr106m@-
zb;JqCRjP695c+jLUeJ>pzL}Rfwe$0mivg5Un^E%Vo7k$hqLyi_|FVSuc}yD!CMi%O
zLW!Y6)a{_rtJ*>)TIad?fsm~qrVhuvwD03}iRV{x*?kUifL$kj1!7cT+Hs#x*n(gY
zqVqe_A_W@>j`f|W!6fxH(l7ID&RXh*3C_!wxtJPPd=)*k0+-codU~K^Y;(%Q+Q$B$
zmOc)Hz<+1joUl`}RzfV2f4V~y_ipO=K?Ui{fWBqhye9E_O-Hh>UjH2L4~zvmPxx=Y
ze##G%d4V}F*Vl{3o8(B7lUiQ%q`>x<$0qol4eiuYoXkV>BvT3I$LpEW8<Cgq8CT-i
zn1?s^x||b!V*OSPGaxFVGfksF@++*gEg&{NW2#@(>Uc9mXxQi;|4yy1D-6nt%p&5%
zj}$Ae9Q!lLIJ=b<XN;|*Tg!!HON-2+v%ug@!99S^`g5Y7e8mmWW9v+A(6upH*ox6S
z)r6SHJVxg7q@SaB1cWMSXp;u~8lVRX^qAqbci#CUQ>y@jt8w~Cl1B;ew<BNl<4A!O
zXf@8GF1HHL!KOvK#Ci8%;bbc?+f>$gnJDX)Rz7S`7V6YkLEjv;<CMiNPc93TzIVRL
z3>3Z6ekW;(!mnv{T-~5-SIg&{cokllcvdNyV3<6Xl!i8&QW~>o;7@ekI0byBq*va-
zT*VjaMAokq&1bl*C@e%Z*2=VZ{t?s1?0`{ODf*Y&ZKI6%!veZA5p!XZ5kpTF<tP0>
zvDrb0KO}8#u-F*oGB@XBPD_ozJA~^-@qftFTlIkD=h>!`KR(Wt<=V0Gca;)c;Pk5$
zF{!Ft1w?{JDgqj?M`i|7I1a4sK$FCS+JGd1g{KVK0f%?C<*x0{BD`(SX8A#T_YUM_
z<);;xfqrBJ7}Egk70=_Wl9M)9pffsivv6;3a;*P(M`Z3-X4jD<)%Pj2VM9-cn+-Q<
z!PhBBw%wm#<${xUJTD$4AsGBPK`%HU)!gl>s##)y2NRP;4fx@L{Q&{{U?|jYSjV?K
zEHatQdB|b8CZ#FSf@&_cYCqCWjyx`Tn`bZ}YSvf`4u!s4>5F4xOtUAS#l|f+7OL10
z3GH+m!7#OGc5I5~ChHNgc?cHsErbh#h@)L%W)t&MM9qY`5O{2tWc_&dC6Q}@wrM6J
zD>ft%dW3>_rEYxuQ6W}b$t_cLX<9?mF-|pH2(ssjBCSW=X!5kP@yCUoC?uR1)ZYJo
zS;W9(B=vEU+d(A#n+7446oTkn?$(E4^Qg!o!e5Lpp<q<w6-@En)FsqCMpm9!dyI<v
zgm5D2LeEHv@C37%QX?!b9meK!!RwK_l>~Vj>cS}N5u@8;{xV^0HXDTSU93BLe}d51
z7Q9?DhO#ov4JMwE*F!_ZDXphzfX2t+7fZ8)SchTrIniewCEss)v0^fQO)W640P?GX
zS9^L>+IQz~lD7sZ62s~#>tSrz>b{z8A%5foS`^l8oRgQr{!3HBOGCz{-B8xFGwfBm
zu4ZqD>^o7<?W+uX%+>Qrf6`&=xJCp2wKP-a+Jm+3e{g84D+(0}6VuO>XDouyE|y#s
zobF=*TiPoVwW>h3hM9(S9*t(mavFin;pXk2;2V%;^WPbB7fztEXF!&Qv$d|TK|pYB
zqxdACwheGl2QGOyi2kfc^Aw@l=D)!5Cnsb1U%x|uQW#=T;9cc#KwKuLbq^84Y%cHP
zcz_YIm|q3eZy|()jV$Wg1h=^kgxaZ-QL03)88!blL=9tuZ?x*09ycBnJpHL-Vy(H+
zrBS)P61N{~cm^yWyr5}62sf_w8POr5t{La<8NNGWuRB+!<MdM~Ig*!RWl6HtJ*T?H
z0y@TMH*;?CSmDcZ&_)?e-02M?vAM1@CxB*dA3vkgC4c}v+a~@l-;_FARp>%8(}yaj
zy?N}z#3#dORI<GoZX0ez8ZxYsN-Sg%b=~2L?|Tv9lEXqJtsj%+ku7Nw6v|e!BG$FH
zY6rA#iefi-g~Vbsy{B`-N>XrOQh&-)L(S6)vKw%v`^&DD$qF&E!q54Bx_(fANsO^(
zhdq&<x9x1nd}Kfl_u^Pcyb-_5Fk(Ks(6X4u@BZ34c5g~U-d!o*!LIK^LZYzdV5p7!
zsuF2vtVbrhy9Eq5k*NZBCI&z=gm;<f^W4QRacbX~^G>b!9}%<=n(`TLEA)Of<@{LN
z{MK!Iq|;@|9{8a=X!)z!kx4E#h+91P|1#;Q|2KIi56XtC7T5U+d(OTZT(KJm<=z$v
zirc{AhSvs>{oso+4GvkGX=}X(uy~53d8;z#EQBpWI>=XO)V-sYGW83Q^*7hlWO-lc
zeHvLe;SZ{d1K-xil(#)iu}lEKAC?uv72U*}OC?8sIf?6^$EG$cg!P1ce5j318$=&0
zH(D`iG`@2(wI}jTc~`Z%WVsqotmep0j=kX(v`05@1n3chls!*UJ)izOki&uaIy71S
z^y($QUoSecE?w*qyv_axhjXIC1QPk8rei6!6G;<(7CeTf_yFP)$!H{%!fZW__%P(5
z_iF}|$3m{nmTb|ussjTzB~yYiG&W@&z?-EqmOp{Y3%2y>bD~JuYxqY+Lv+ViU42-n
zHRr6XOl=z(g0n=cN9g72r6NV~X>dc_Ew-f9Ndk~~yie+g5gb#}QZ~tK)Pa@a(Ibk*
zD}lvdZM}{B!ru&#F*x^c#dVdcP6;&JdI2ij8Jv<=rHV9prU)a!=+ZCS41G=<Lp<#Q
z>ILh}Id#>Ddc$c!D1mMT4$p&OB}YddMe+w$vtH<?PJO;mA#b+DtUBAQ4D-FHzE(Ft
zcG}OoEENe8Nb5}<vADP8^mdi+#^jXxm26U(5q_3(=8;nUErRHN4d2De!%%9hSwn+$
z%GF+ts4d@V5Jr$yH4zM4$Kpa@L@WHglekc8Y-#O4XdhmCkHn)bQPi;uC30pyrgExM
zlm&=uf3G#z15U*MRB$`UqPTyy6$tqd%Vhv?&fOr0T2=e^9*G+<=VOAT<`cxkhTBhf
zD_GsXs%N{*`$s^gV1?di(0|?s6K`~NSd(xMKacG-Vbw7~Rj$~YG|~mi=QNC9mgg{*
z%dt-D$*JJwyFxqIfekioU%@b!f-hc+XVOpFQ>_eG5JFk~#}zAez&FBYYbE`$L^qCO
z+LJfejx>{Nl3D4GO*lT3TZ}346C5rl*Mz0Ff>?VDZ4hVAxq}qNdrsSe!UqKAA(Td=
z=p>TOH@jx|{-SGlMmst40in-qIcwUZa#9n7&FB22+-|V-8#XP;YSfmpy!(gSa^2Ww
zuSsq$wGf)Uzk`0ev%)maT3Wj_iOhoL@@w(3n9^>zc%*7H)x0(R83?p5`#)88>k7`-
zdti1ZvQQ%8vi<svE|wGtKv`3g>}s$?j;38BCHL+i<IWFchpH6k*vj)33*QOblZUtx
z`+B2vs2ZzP`L&994p6tNrnapXVinV3Wge=TWc@Fd!PBXb;e6U$87FG<4jcDmP%yCV
zYpL7%kfY|R@04E5Ck2a1!%kt{+=+CM{z>kFxrM6%_K~K(EGz(UlbbU27-ZDBP?&OV
z#`$UWYwlg6y{#MB#TQ59GlS!d)<pphbZe@E%ouGpXz(1~Wzs#Bj_<F6t@O<V6$sn-
z4qgmq7aI|rhdO!_3Px87@}Amd-e>{=DGRN1v*m0&&2Qax*tooh1}?yV{*Wf9Rq8LR
zjsg6JyZgrh_kW)|$p&`Lm>C0i5U&J1GyLOB=lB*_6_>c(ru7m6rQZHhUCMTdC(&gm
z)?s%R{s#v(2}ehW7*bo=+VPfgs4b|bhV)ne?7B?pDP+$IxVLBh!nqk8jzTO^taF)m
zI?GGWy#WR8FeKMu?7SSy-Iag(u>cLU`!Gkxa2V8EB+;1iN8mNoW@s8_<_oC!U9Sy3
zousT*?|Axslvi(b4GPs?ptzqEB-vn`y38MX)R_vStRH<9y&`qcG6Hu;8d#_|Q;{uT
zKLSPIx!$q_c7u952)o6_Td&3~&KyZLCW8AKUAM2ty^-_8d;zSBxzss&W1s&joaO35
zytUJJ%fwU!UcN4lT4KzWS?y-uR+BzXfKQ$oVs4o{8Ik7C<+-@JshgGlk@}{eJdZ!G
zm(^#O$2rQoi(gga@?L-^7f(;W`ykEpFsC@ebBi6#m>N#;^d{z~h+l^eS0_5Z)A?4Y
zHzw&fEl@Qy)cgK@A?3vA{)sy1U<}l`QZ^A-YGh-684ZEX5*K~-bvC4K@FZE>ZDFC*
z0RBSv-qkcP>9Z`Vgy6Eem5tblqV1ozzuETi`%ni_@7rmt+;r1=sGkrJ)cGoa8w0@c
z+-76h@G$sScIVaXtUbBP??}%#1L8_&%@Y@tF`)q^f?D*o#%5+41UjDK>Wofu-{?TW
zD}g9!8YSn{4X1W>NczX&gV?*tN0c4zfve933sn@?ekL<}1pE9?u7YrSrgfb|65Mgp
zCn;SD&d?2^&r|<%C48iHXz`jWY4VHQ299mE-k9mfAMD?|wioMzeCXC<=n~>3uWHak
zRN;y*DF;4mn?gxufss{dXCDt!FNk$a(=GC9d;l?O-?1yV6*5JWLKWHR<Zx0(h5$MG
z?S5oBK(m`sE03StNFI)-Moz$5HuB<3-Tygt_Rl`qsrmoOve(~X9ufk{E-B~AAiEnY
zs;?=y3YrAWdd2}|eGv4(J0FM8qvwBP?4rT5c`-L+{YBEF^};8br(xP_?xWyzkckG*
zF$yBulo<g;)^B&j>^|#Sr)#-!#ijhFin3f+AhL2xTHPp3<d2-0wnacLA91Bk7Z*ZF
zh^lf9Q!v%$^TA)M)aYQ;>r9ZR`sA<mPpi?#td7z5{W_OPORs*tW{t|xmbm182It3~
zv8Fd<mc7uk=Q@kwe+JXRQ+;R3&#;0hCa;(P)#f=43#Ihsh~>}C{@Ovcz=}Z8`6#mL
z)!m-gikY5&nl^I)%CFP^C-adJ|G%`a_*==!&`=)osqq>`SIqZNQ}XwDo-voJ)t-I2
zwPiv0x{6Cq;fhB3Zf5dQvN>}|B9IT4Q$8)xLp!I+Y;Iy;XmmFabfJ~yr<zD&fQE8_
ze^c!tb9pR{TRbqrwfnUl;Y8~MfJgXqjBP9p&QW<&i~3s#6tf6~Aan;NH`Wc%--Ame
ze3WrP1+Z#xv3WkdhFh5pcX((n%Np-tbm}8Oz|wDRSUCv!333^Oi-J9%O50BW0?ICK
z9}^j}rkLfTm~>|XQkkZpoV8u2lPHw{NolxDe&b!MYBvL@^|d_&ldqRB=~2!|_x%r|
zf0lxWoA}yp`jok$ObH)o%04r?N#oNoeC#i*MjzQOLttE!;->sim$|MB8@RX&#{lFj
zNp}UU7oCsYl)VbZ@)Ink1L|ir-0{=TBj;Dh(Xu72ML~gf7#48I55(MPgS8F8HU`uQ
zI@k<L__n$Wh=iPPdB|US9A>!_RZnM*ZSc_j$ND$)SO)B&k5SvWqno?2A@!-7_Wsdv
zR2X&9`z4Kj&d#a6I~3|CxpxIWW(>}?0n1(s9s4ygEPHsK^k82g#&z#0iMsgJEvV`O
z*B6iF$t}0J%6}_rJ+3Bg<QPal`_HY7-qSxC>PaO#%jhwmIXrI#fz0&{b|<=G%Gmzp
zdm*kOYdIBT(&~#5+EDV7_eCjYumwlXkno2KnQ1!<M9=fAkZSh$UJNLa*Q83sZzXSP
z=i8=W$jD_Ke`jVbs-my5MGy1!zMjNZ43Rwd&P#Fl79xMHwnV0rbwVF0MUheEL$GkF
z6sZ%>Wa6PLk}_g+c3TVwhrnbZGN<c)o!q@@5D&QdAl2YiIw(((g6B@%99O9Gv)w8a
z&eN&kpwWKS$hFAQnT3z&b2ypyRl2<3lW)<4#Y^hB{K&GO^Gd1x+^I#JP8cK`ui~B0
zLc|;kp_6FZIMI46*@szsQ@i^U3ZKkQJQ-_A_P4{9f6ZFfMQUESO3pp=oHY5R2EBhA
zqss9m51A2!nqw?YN<kHF45>f;)%jcT_qHY5kT+hn{~&&|9ivPUn`6tH&2DGf&RIzv
zFGQ*v;i1S<lhR#i>YVlC!>q^VR`#FUds~YdDyC83{^7P*(KDW?{SwaH*q(2dOyT!8
zy+kp{Tat!1I69_*jYVlta-=9$W%9dSJ^glL9lU$v=T&a;UBT|xW9ZF8>pUT5Bw?<|
zjE$x>P$`aELHf1QxBByA(&g?+CqwSZ=mwG3KtNbK+V)pj)tw1X65HR7>|g=~SEJ{p
z(zN}c6)$7$;c6MZ=_kT>eC#*QH>RL1b;_r$XT4?1-c0lNGp5Uubcq&Ix%XD3mVvk2
zHcIlK-oFwzeUxDV)qN9`FW9}c(6iO14v}{p6`r@uU3TYOY#j0IRL7>#me2Qm`<9Qv
z`wc1d7nTnCI<iLhT+V?sPUXk^t<it7{<we599w!PvCmxJ8|c4G%hmokbO>yW!!gD?
z{5U+I!fKuF#CMZsYm}z7>w*&qcZJ-ta~c1YYF0U7P{sn8kh}}+nVTb=L|&<PEUhif
zJoz~|@2aY3Xg6{B?;4`I<W7gfu|fs$im4VtKM5XiYxwpsQr=SiFX#Y1^`<Y?|KgWw
zhBroh`u+Ko7>l$~d`Bds@O&%Gs1vC_RmwM-TXNxL8Fi`G(?QwGB07WML3`2|{U4kF
z@zI2x{wx3GSzZLCwy`*Vv*-1)BN26*;HSpA;D2Btr}-~LufW2bsNsFqccMcA3Ys(n
zNKKSTB=vRd0?~j@=c8@@s&5FU_r@q=bv}|#isZ?EaK}}3La!MZ&c3JiE<Y0~9gJqr
z3Fh^!G(N6L(rOx154+9L=aE+i$jUi*4@AQW;!|y;qNsipjVfQf{<bqF>aR0kA+-+u
z`yw~$E==;Vd8(1yRWD(&D9S430U@gTpn?akDEG0X9&1?YOiF=X_1dX}c+(<ejDE9-
zfG_Vp^2glEz$EgAicdqdj#j9P!J~9>S$1FDF61pg#cES(skjJBVohUm8`@VPFFJK8
zqAHYlWTu5JX>{bw>P9OHts2z%5(p}YTUD+q9`J3fexr_a7WOISKL4@mFc1A)FS_22
zYHM3yf=g?|IFxi|*j1~{g3^~GMOg4}8084iNo&cT;74Zk<ET!~nMLHDo%9FAu{4ac
zpq7+3+QCYeUF}X^8JExaf8ZF(-T&ja>iz$@VHEFkoj$J|K`0GG8y_SDc1+FnhJzX!
zfC57<s5A<DA-`ZFvR4edna0}oc>sU2(_yKIoU|Sv7u(JNGNM~(XjJT!?jM=CTn=6(
zMnNN=f)P6Qq;(+<1{TWVz|)lU)fRB6y@Yc@zEkH{4CE<3$B(S6nNaCSEbm0-lteWI
zC05cRbu6hf13iHyy+jaH+5RD}*h`9Cqr?)}Nn{Lg1<|8AcW?pj2}X(mLw2RECU>kK
zXGe{tu9qrEQjZ61k>x*XTo@>{86>!)2Q=e8Bs9ay42i2E!0n5t)NgCEUI>luZo`=#
zZ4=|`&7j*3gTfX+{#2hWj}skKT7a!W(a~Ay##i+{+O7H%^%E#>lb*QW*J%MW7DKuE
zmV|u26;)MN5v^BgFE0{7+`>VLkk%cmD*mci2SNCtqHo317<f~P<E`__!??6gr$4sv
z!9^zD6B+#E`(wJv%Q6L1x2&y+87@A|HiAjqi^`>cl!`L&v2Z8HczN)$u}WD=MN`~W
zycHxF${{N34Xa`obIa`WC+b+yS14^`a;V%yhl-_<E8JHBoIpnFK74-@S&;OL)r6Ma
zbV!c*x?p1&q8_5{)PAWl>h(URWo)WD*z6Ezl{TJvwdN>M#u(t9)UI;taLUTjIp8|d
z7U-@U3!;e-mt7$c9P-fTU;F}I+VA_2z1WXb4XX&Q9?vPaoItV1QV_hMJ}b$#2xm(d
zwT>)f-&4Y!9d=j4cNf64^Qn~-q|ycGi@k)>Bw=5IE(|$-^_$PL?Zh#L6`jmh7#-u9
z)RoNsy#h>GlbIfOBVvVv)(x6`s190AS(rTZ(dt)IBug)_nk)Z<W9&smNp!gEx}F?-
zS|+o}3L*(1b0zYuGN8SuD`*ubl9!v%(^P*f*S+K+bMIc*B1|JPpDVVsa8wgU(xJ&e
z(}YUa%WhuU-`fa;LEQTm!GGKkov1y{<!4zm5x+rxGBS7pn&KwVCjE8f&vA|a?$9hY
z5a@@L4VRd*I9io&b$N3$E3D*0;9Lib6}AWQqC%b))tKDH?~r6^rzLB@b)br7#@nP<
zmGkcxVQ~dZ8ib(~6Q9XB#?GUsG)Xx(vwuIj*&LMiDS_T}ohVLUq_MhpCS!g5_A#1l
zzZ}qM6OS|KaPxO1c#wrMAe7PQzy|<-A6ZvkiG{?F%r%6vSkP!=2cx<Of#?zOZZA~Y
z;^pzO19aGARbuflYAe`ixZ^V@ZikvMG?rhx)pNq{0G|vL1DoD2MWebG#i^>o{O`f^
zvmNz@SKN_w2xZlI?@Yct15ilRLGv6Kpk(t>WYd0XEu>v)mnWSx7+s6K%A3-fTk?ZV
zF7GZ6%<#%q_8;6q>4~XCT=={A)T=LK-#+g0V#qDlarK68`@1IS{(Xw$-Sa#04>kt-
zAi$C5cW)J&8D|Zho(of!yx+N^8hN#xuP1ArpEi!6UcZEGDoWegKhRswc3|M6B_DVP
zzI%|d+A(}pXuB0decg|j{~8)?$-CI;rIozvG2jZT2*6y2^ygp=GG#dJP2Qn|YQM9>
zx|g&s?~84V4s|UqG@5li+WxAuZ0tdY20%c|nLPCbGuDv=jUGR;N4NuMJM++eOoHcc
z;Mf<u+QJH^3+imk+p5s5(gBx8HI9ZuvnCuBS`%xS^?HiuNM$bZOT)@BVAQ$cNfk+W
z)|$ju)=N2-+by$yk-d?tEFzPWwfB0Xq&;hUuQPvN&Xe!S^D#lf%?aIX_-;a#U8}Yz
zrE=;oYblc>w>t{HxpVTSXEoB5c>VSm<u7jtr?Pp+M~qp>#?aG%*44qFkf_k*fl|{8
zKpJcU_>J3U7AqtH_Pq9H@c4J3<^TH2cCq{oyraf$6hN~1j(Czr!T#uF?&INi-?I9p
z2t`P!>V12Vw}~!%pZwUC5Y-@-z&fvy5$(hC?3fS5TGAXe3o~842qRj15K(80QG9_0
zs0o^<S>w-)HRzpyo&G!r4ESe0=lmr}$k!}_6N^FQjq)y#ORqI9?@h4qvlbNW8L%7b
z-I-0VF-uyTrU=vj@*kX1ywEV5&bB1NY(=;B+Q^U~zR1}iNl1DIGwK;MzScPuZ-o#w
zc(^QjLoxn<VKzi(jLx-D(Ewm!sT{lx8n<ay6_){-Nk$<vk|!&7Xrz*pJo<n8H(K9i
ziO{z7UKDf$>&ns-m2bOk+r~mk{uhU@bkFf0Tw(z1F<kl|zmF)PR__0oT`HISU)iOg
z7nNRy$Ft2_20LbVxgAq8y<r$Z+(`hoL+nO&#|i=rR(E$V&NTcXT0;^KKu9!f1ddOW
zR_>gGZA0ygl~~vfmJjSoyQ_Wo{URc<FCVJ&lIBsV7f6U1P?LyFn0Oy`@4NeEW$Ef4
z7rtvge(W_YLx1r1DxojN2bV?Q(jp*&`B<>_?js2n(x%i23u0T!x&IN(1P)PiLF;*)
z_^-Fm^|*hW?*3fJce0BU>EoC>2I|@LM0k-J&O>KDNxeK4^T>SCX8ntOephOees=a+
z^Oy4$KdWecdELPYxKA?{`@Mp<x+b=(_X<5VQOL?mj*=y*yX@{oL_Xb6ie^G2+Zly7
zHT8j>zj1>ahLa#Sm}3QhX+c!TP!Gb{UD9?Lv$1Pp9xE9tUG`IzjISQW2HUO}HI6GM
zTJCLEA6M{gkKSNL@zgKY@UGf>w_Q9TSqqHiv)SkS?=xT%BQ{9x25UDe8Im62ZzHjP
zx*9N4<Ay`En1O%=Vb-y9NwH^bkYJo9ImO`d?57VlVObuZHyWy|>MZn|+1;Xw_!RC0
zGpNLsl?ELab8A-l?_D^97dn9XIw_UmvEg%SwzX5ph2DuP<F)vs(fFW-w#M&FiToQ+
z6Sku*F-4ZqyA(hld`7=QJMrl0Ip^ZG#*AgS7MPa|vv-2xD-ts&T$MNU7P>k{aB3Ux
zq33x5a$<|L8_N*Fk7lM<PGhOXf4zxJv3yzuJ!^I69&<3}u_^3>S5_M46j<U|Q!aGq
zvpn~So~*^}eA>Q$Wa(%J*sb?{p5vv?>aOgD!(v(@_~)cWazlNS1T6!-hz<x4=-^K<
zmUUWT%m{}VRLItb$PXS@V}xrvLWs*s<9VgwtnN!?^ECo;A1jTjY~6<`)YY-+n^@Pa
zezH)=IShZ}=Eo+}PUuSP+h@QFhp?^rS=BKPvdBUg2=IqT1~lY-hT5-M8|GLV)SUvp
z6fE*gu4xMpjO@z<Z&clu&p|G>DQ@uzhWN6r9ww;jB!66io{&Q&g}4zMyEb^y#Zhrd
z^6)4=oJl6HAVvG?5?^RR#&p>Bz1DwC@zEHynBE0OVUo15{?rf9Ve!Qud#Nq`vxNR$
zHphD2sV9QvZb!(`YNU;0_Cbo6L5%r}xBMQKod7Y-E-&$N27D>rSPI(*nrerzs&2vM
z1@84iMwC669|@#uMSyd@rtj`BSMXDixct7VCH|afLZ2I%2020XP$d{ukcbbkC3|{?
z3}*3b*&*U1@4bll>1zLJ^~-8RDAJ^Gv<3#X&6+H;yv~f@0Urr5-i|YB2}_&)jan2X
zdZPrPLz4j1r0Cgcp>}Jr<}NN63Ui6uyNP#k+;=on8Dm(1$YN8@xc#DkTIK=b2LqEP
zeJix=^?|y+d9OUFS>LxhguB-y@(}m^N-n<8Cgn}Gs{Ic7c>06l<T>S*eU@)$7hwkF
zZ?$YKGu1HJjp9c?EXk5%#YJ<*W3ywZQ-5X}^vASHvk_6p$!NRBrGU=WP$XMpfU&a@
zZ<wUMEZV_hN3~WD#D>gmf=BTKIC+Vec88^4e^r4j^O3|@y65^Z?ZL+00G@aGMCYzL
zgo5IVKGey)%#ihZwP&}ew2Y|g7~?x={_aFmc^m=9@J8fNT6c!5tFIc~0H%l5I}@xt
zFdS7qPK;&$N&`Bv=?g=am540*XN>^A(A@o>XPrjYGiB%s$Pu}nh~s}U4bps}lK0T{
zVTVJ=G+(Z6>-b_^qSX=xju*d~*GVsy<Q&KH1Lf%2U5+JOXpeJML|5Y>$GJm=xq9R6
zhl+LW(1znE$=sPH?xU@6Bu`s0DA~3i@P%TG$nyLvb1jTPX_PP`8|w`-8A8$_BXYz+
z>owj_?f`AwGWwX2z30q8-9cG<GE102T_5uED=PV6i$K#aTEUo~f?{DfZA3xP(qSK=
z)oJYjSD&QdBbjrXl`L=#3Ev70t?b$l{Ja+;%16j^+FQ`b8;h3KDtpq8Wf&kw<+Xz6
zo*T{=0Y?3+`SpLl2tt%n|96a*j{xKPnc->3z~PO4=l+TIBzOPQEUy72bY$q`IxNcC
z+9~%|^g)8+mFfeOKRa)-7B)rW4fd-l<}Mw}M#lF%iXCmUSsj$;OCwvnzfssTsuvQK
z^{Ytib7xha9cvJPL%X!f^2UrvT%Hh)zR<CpZK|}Ko824|)Daw11MAjC+b_C>8&Aq^
zt7s_&6Q|l2Y>X?Q1?VP~fErq(*!L>Pg(pum+{Ctm5#saJGyo*I@$rh7u~yMofEGg)
z7nwO5gFEy?%Outf!(n6=sUK8!g!fg`4mH$FyMBeQzydB+5fXinmk3pc;`utvRJ!je
zfoUvPHX%GrV?avv9~{0*X#{WShwY9iZJU#33J0n3mG3nlJn+6ftZ^C8Z{Op`mM^I`
z8{<XuD9sa8!g3-ZQVeO_u6-SLUH#-Fm~`Nv#<Q4Fx0WI@J#xb6TR#HtB+aH9p1~Cq
zKKG6W@)vTxl(5BOYVbf0(-OYoH=xMT7u|JYu?{BCjuI1V695JWH0wO}Ol$QjF7n|v
z9{lAxuu<#g4oIo3cfsI3I)}q#aB-Nt?w?7ZdP)n`vhSq5d`3<__HO&R6*%+G7xm6D
z9k!b>f0pL<KmXUxt=;o$%QOJoK=(xlj>179F!cuU(>eP55`*9N8J()dywe|!H$J>o
zZ1N)|yr}1tx)!0KOvVtP)bi3F%}fEDUPY_djRk)f@qIE_kd<8jfo}r(2$62-N=eda
z>LwP74~lV=**U|qR&qIG(I)PpFasZXc<2Kq!#B2tc$hX?j*Kxo%k||x_Q|{A%N2Vh
zKDJ56`D1FXwCp@oyz|<>Gt7c73Ntv&lB*w#$aL9+y(ldW#I5{!4AUS!e(>afEn5C$
z{c4!ESPdZ!k>PeBKAKZYYmffcSHHlfW;FXtS@W2C>;^k4^C-7=dT{@&!9@F_;e1`c
zwYU=GX(TJFA|ZPvlU=*7)T|w+HK7`)Qfh>Xt5gPI+C0b0#w$QX#-;fXPKsyPBB_Ms
z&^QUPqeC?LrbjM-_VdIWJ?|E#axcoalF5uC?4aSg23SIZB_R{+{yvqzmToT<fXhq&
zyr_NKWMN6&$eb#VNo%}hLtI$sj!$#thttrLZnl*$i&vGn1m0l+G*vhUByl&dn^PKn
zD?ulBU;KCH-9PTCFy)@Vbx#<+(L^0^%<4U11M5$>EwFw6+LZTj=aBL*wn5%`O9GnO
z<~Mbro5pf#q*_>v7{UVQd($`Z9~>7@<3Bhj8OqBXUth{6bZF4O1(>lvu)3C8_Wl$N
zNSS<P;Qh`#+lUwsHI;I=H13z(T%z>4s+ak#(wv}{<z7#OyDns7e)jc`r4ndkMUaaU
ztacQ2!}!jztj|2;@gY{$8p&gLP4c~QX=FzXcjJnUZvJoV-c=Lz+Vu8}rjI}Axa;rQ
zGDo@d5wdGwUe>l;IQYPqZov$<O3HYh*_dXa)p#H|&2>YDF5NOi+Lg(@F6GqouWcij
z6^1H`;x1p@A91qT2Kzf4kTfq2d8I~usGi;s0J9^kc=tJ)Q^q@gXJg$%E#;m^m`{f-
zQFyjpab3n^?(s&tzB!7ikqD=lSQ(<B+mJ_OPjWUMuW#Dt#Tw*?Qzt`K>7d+vSzuhS
z0~g|8z_##{**jr+&U*iu^_iqja#BP)dA;)gsq8z$nrfnTQIK9ldPhJ&P<rSD5a~hy
z>0Nq92u*qu1VdF&0|H8~q4%bA={3?xK#<-sw0Jk)cka38IrsiJ_s8VfPqMRSW|i5q
z*R1ufCwTp>cc-Sanbq>OOwHp}h`o(*<8NR0M;BKnFA%5LkvHKUmrN*8`8-h1rxKGi
zVtVgSO+5I;E_hW8-SLp1u|SDKB)B}OTxLiwK&t1KO<N?5k!9x;`oR;krlMUoGTuMM
z4W+olxK6{<U%400&%LzA!^Jgw7+W{b9D#Zoh+OmHYIE<PTgLOc1C~9PP7!bw*{n4F
z9KxS_eDo`6O5oj=rXGbjs3>K}uVFVbf&5ZG{kR}KOKbLxHl;HHk|eQ1-33$m_v*=T
z{M4qeWs(dGCA&;qFje+rgPwN;q!abRKc^y>hx(V6&BwIT26Qtx*U_oY3iK=2&Tk8O
zEm=CGUsgQ}?#}Lw@UB?XSt$IdB*6(Iu5={ENzeq5*fJ)6Q(&K3!;!>cb0IcVu|NM1
z{A_{rgvRFKU5ZmjaP4;S?N-HDnUY=!pWBh=X>Z5|`p?PbobN0sP`2P*Oec0y8u;E#
ziRR0d%F!57PNO6wONHbsdA(v>x$CunM)0K72A4LMF1e-CGAUf~a{o9}8=m%vhCcv6
zomrnlF@|9~*6Ns$Vmlxc%t`&4-$*C!aji@x#Zp{HnmxAH>WJMX?CdUpN?RDY1)W;B
zAdZ-cConxFy@CGf<OQ&4{}Y#%+X_q95nWH3nlON<*j}@m(^#x%mkW@islO_`m@%Mw
zZ>ktX<@_fwB(H{ow`~l|z2|CbQaEL~ByJHm6{YW9tN8f9J>oXA$7w~(q?WNjSIsAS
z@~pHTP10XnYbPRUT4GAy<J8Z=YS_)w3RknXB@?POzjN38X#{6woj+T^ZG{SMmW$|W
z3$>Q}NdhL#q(<W0y3jv?blLy{6mqu$D>NDUSd07<2vdKg6M^q{#NX+T2<7CsN_9ao
zRp3IcD!i5hWcnDd4qIt2($;M8s_j+`!w<l(sXN3o+&Fonjbk;I=s)&~J53B7Qq0<m
zHDPHt%h6Jf*zqOJxSE#op!}uJD3Vf=0(BER<HUt5^&aP+0TQbB3g21B#~r(oz-HLu
z_RGpn3Cn2-?`J)KgOW3?-q1_yO3O~`p!Eob5_HRXJO*1l--$%Eb_n{3Z`9dg_%`}d
zF&SE#>C;+OjS!)`KYLM`$Su#9x+FYJv`Ou*Vej<*Vm;+A+*)Kg0LxDn%=QAOElI03
zr1Nuuu!T!?ebM9M^(>0EgS3X2GR{=-ppJ*K-xm|5Dm>2$umg}t)66V3(fX3-yzC<@
zFI|5obVQ$gXl-qeAu*#za-~d^J6k@)grM8RkIceq)a`FOJlP&I^f`5p%YHLl9IU?J
zB~XbUHdh3{L~~@;!YjdrzM&%lhDg+392nUTXG2;ek?uZX4hB%Z|3Sz1v*etXiJg??
zO!^*YzOzgAI(h2!zc^^&HTBZ$Z^Z@2Xl{Sc>6#N4Aj}#E<2{>{l5aAU+mOx&!5FnO
zXUPkT1zF1^@#=@T$VIq>3UC)65;2zym&AB<`HP*jV_-WBcGCl!$&4Mge{oR87zYbA
z4Y5*v8NZcYzUvQNqZFGOUrvHl6O5an^aWMAp4Rg8OPA=Uj*q!3C>mWZna&vD7wgOV
z;KxA#Zdl9)IP3H*4f|mwB*cR(|8<mH&JfC$UUA<flm!_~S<X;<Eka_DMY>P;v7bdt
zO3P4N925huCK6jF%;hJVjq%oJ9M8bsZDPNNGmGoYP|C`NyrL*}Nh(z2x@XDGUd*E9
zI)Kt-u(LC>)AvN*ZpDnIxO&4|nuZ0h?w51jF^NI-51Z0vQPedWI+I2;b%NU1qH8}U
zj=RKY=cJe#E-_E=Bs@#6iq-atp94|(arbdTU03FFn?8N%9Jy7*i2T+_?;xMxpNjER
zQ(J8BVrtr0XW>shq^&|_6DuSX_mDEp<Hj5K-{11aidP*pTyZqV)i~1KrhQm@oN2VS
z|3(1IDbN!9c-i<UczrhfXRqrS$7Qc2-o(j#(01(W@<Q`sl4R${byl%-S!~#OGc!sX
zv)f8{2SEBImtuPnPp@31le%}H0yRmwdcd-B1z~wG6Mg{-oe%Ku$|63rOm7Gb&9L_(
z5tk@aieF|U59SjpRIVAl_NK}0$<K{5hkJz5kZGa;_gQ)~a&0Q1C|KKD<YGWx1+l0J
zV9DL9e4{R&WcPOR<7>U<1J9`PxrbKj)oP<<Hm_lC=Q!7#t|TsjVC5^*(Y2|NLbONd
zS<N{pbZcP6im=aPvOdLz1J?^|ylFo2F6dy;bgH1Tu6}ZEo!z^DUD~(AI1f7@+wRz7
zb)c1k&OlHG#DV_eG)OZ+k}YsyYd*t4<%sW}pDVVv9l|IFWzUcm>%-@yp9VUw_!nAv
z(Al`$b)cBHXHK3f2CeUVz2-qKVR1|JA$k^+o;DJByTYrHA^hpS%=tbEwm;7S_uzP)
zJf-X8a^DMSWzp_$8Yky5uJS!#mP}X1;k;&pwYi<6D0{!Ax!g=Y1j60TeTKT57hm-I
z6vEc+n23>ZPI3GPY{qiDun1(knn4lu$0$8AXkI3!&0P_<L$-iUKGyWN@A55IY0vOr
zNP*M%Fv0%Yr@68fKq8brNkG^}Y9e$ZH;eb#R=X*x8RlEahxAv{b^N|`4--_f_<OE&
z(aap;mLl-mL=7*>2+JR!Y2GpAqh4;)n503=&+NtbuIixUI`Goixl*Mp<r|~QqJoa7
z#tdyWM_#hZx6t2wK%(icOmccXSpPt^i)nE2N&mKvx%nf;mp_LyW4>KGgKzzYBVw`q
zTFl~;?OF5PsTzg+qvat^=?4|Wy*Uwy1TOJROaWZZ91)y;TR(EBp6@m=CG<842C>TE
z!fPTSAX8S4HE<Wao&Yprp8h@S4xR_KEu6y21y4U~`s$bct|2GvxT8&Dgc7Qrd8}ak
zx;*ts!2C(k@K+TP`lxMq)x-ND(o-@W{>S7&ItH_bk}$nSKXwTvL(Xd5Oeywb?YOHY
z7MF|#xzC-7$M`E08cOT!Ym9BF`L&HaVgWWFO(Cy$nRZii84PX<xC7fdPKG=?xqqU)
z0}U-S-x;cW`>;MIg<F2_cIgp0ncn52@gII_YTLsm@oQ!F7V2*3I+42GS-O|ATq_gH
z_t+(ivJ6#8=<jFDWITdW^X^C$7(H%ye43yl+C#*ao<n6Ys7a5<(&<aXx4^&4up!6$
zprX4coL#3-s$l<4Gi)-7caQguSLz6WCgxC}#6NhypZ)oIz_@y+!)|<B@Ri3Lz7x6O
zAI|o78!*acknOJSE`wVLU&7iwb9H)X1A?O<3S#`8G~LZVr-}bwMr<Q}+)Dze?!v5W
z5sCUFytayd^?Q6=)ccV=g*6?m9le;@2=Wnam(f`w*t$}buGw()J*y^m;xuk4=3gPa
z1l(CMhAquVwPtb&M0zLXNr}}>(8;yh$p{dVS`N7vJSW%3OgMjTXtiS}j}D)f-?`6o
zf`Hta8Yw`6qy7y_eG2{Wm6F5eWaJMzWZ7z0cI9W<8xbjCP8dt8q;@i*-_Vow8u<EK
zC6zq7>RGEa-(?Cti0Q0_8Yr)Uu+eSBp{ionKGt9{Wo?y<wN6ZgX}c~$kx&ZMSx5|I
zF{G}nopQ!%H%<Q;@Zz5Kcyei|+8yBWSeBru$4;D$cMb6zaAo8cDHpErWq*Jf;{AEP
zby(LvzSh)53+&{XTAFhG##xD0#_eCBJ4lstLXURcy#jQ6BpDX>XWA2EmU_Q^9~wM^
z`GD)*p^|Pp1K>^QeeLRa{y1_*1?h{)I!)CK-MHD916RXUZViuLi`r<5N3~nH?Gw7x
zzKE1o6SRBiHaamoBrJbHWgRuaIWpF`S{IUpCgIPnntz5e&<GcvLP~k%n7H2ij=am2
z`otU9pw1+x7IMtH8=pTJ7C7l(A;AdJZtVpv$bEri;K47tET{7(e2VfL4V8U#O4{No
zLfLSfb+=b_#1ECd5!s^5NL@sqYpD`TspKb>TQuIqLvgCOtAx9)$^fE(UJTlk+kq*q
zj~%+ysxeUKEa3T!FR7r1xNLp+Wi%8?b6Sv%dP`d?p7qR=N`S%Gks}+}6i_$?iWvoZ
z&nl7CUJ1>AE6LXrZnk%|9l%lz7t94~MOttrRb_yVqiuhYMO+|@F-X;SI#b|T&vgj?
zvbpudW+>A{FlQNUEs!1vWHw794WOj(Ox?#hN9f=+188}4qOHOtS8I*vU7Mp`A(`pl
zc3pQk2?~S_Yd2%k_wl0WSJumyyY93l!3mv>H{#d4+S`<E$uGWzA$drpdQ{%M9rUmJ
z$WoDKXVB;oI#2oJHALGbb4=ZBaFU@Yu-u=-{GgOX|KRn0H&c*PemZUJLYCI6zc>*)
z+>;<oLHw@3aL>D|N^+Y4W{I{Chi1!<>u5y}*dI=+d(t!Dv=tUkt@h;EpFKG5(qBq}
z#u;0iMLyVeiq%bqj-zTPj^>ba>Y2Rf;r%17TbeStTwYwccBM#ATtNWU(@EdS5SnN&
z^Tgmzsfw?^6=jvjg^Y3oXUZ?_O9TWh)bisD?Oz61zjR87_S)~=VP1a^VLmfsc-bFh
zkO0POc3Rc#J2VnASd5v@dd<My*!;0U8T2cRNmdgz%*dqQQLldbP?VVi(k!}wELp1Q
z3$A?HqT&Vr0o3alX6g~jo6C<hmsKSmk)l3bpUOCARhSdcc0DNJcj}fv(s|Pu={9mo
z=<xNuX%#I95T_tAvEccTtNc!$?V%0P#v#IZGMFcCv)TI_S*xojm516jMY)qppm;W#
zgso<IE`LaV@rB+-c{2m|MW$6J1G%j7gVeC@;)=gG<Csp_OmtfzGz~AOLRGP@e%w8E
z<_BJV9qizZu!Vcu4-2I}JmL|(b$?Zj4}3od4n@GZj!co9cg2rezVwv?hfg^!mY~+e
zt?%c`wRZNln|+q2+mt;lQzB-S6ihH7u~7;q@j%8wvRWJ7UNtMzL|=k0<J5U|vXOgT
zW+CDi6vExQ4@tE{U+h|myEZ%Ivc1V|AFGJ2>91CCN1ICrz8elXmx~rHHdKt+l5>Su
zW88B#o8LF2&jss_vOmb{@#*a_O!TK7ec#ULBAxiUXj9l`=?MKRPn|PCK8Ui*+tpNE
ztfNZFBR&kpgPp-UJYMxbLgbw!#Rjq@7K(pyx1~06dzDP?yo#!i@qJek5+hi@0rry`
zHmcXN(bbjKlC7NFjSAU+2tDo5#$|PB>3tD<zkSy@JUu~uk3X%YC2er(d2=b?D9P)~
zns&~>^D<DU@Pl4)q^Q+2_>1-aq-Q=U+|z44;Dhyw^a^ROPDF8AnTxAQUFb=DztGoF
zUF)Wk0@t1!bGbqCakba{)Wi1zt4cZJV<y2*)(dhP8b1vah}lwqjUZfr=}^C$Ne@?5
zQlME^CoQ?P!s=oudlz3VZ{f?~!o<d(sEG()DhEY5GJ6+F$uus`FXevLIn%0L1rR<+
zpi<qeHdgoSdBliRv5&-}r&fEco0}?sVj63b_q|89%rk6G-s7D1sy~dUEMGpleL8%<
zk-U)r=TFfCrF#sbnW1$}ay}2z{^CraH?>;gvh3^z7>aBuM9-6sGGFo;Z`dWXpVur!
z=Ixn~)D8R=*3oojus&zMG)TyAhCAcfQNi&l;`a+<q{yMCImRVN#@W4j=?-c&iOw-=
zyXWsu3h0<T8Huv}B{$&>t(9fPjLJ|hJL*-?*PPd+5H6pbg8dgCls+bgx=-7ysLSzv
zUdtVdy`0@NOnG~ML3l3Qb|_x*q@+N!X`voE_S|Fr=mi&fpn;id<Zhhg?MMNLJ8^Yz
zpCoq%*P9AI7`jwAd61*K3to}Dz**@mL?+oH6YnhdddA-Mv-Fm%HQ~qXAH|`)<^cry
z|N4~kr)W^)h`f6qV6!m3*fSxScD608?J(d$YDDtjp?Ez<AXie(zomtrb_2mO&;Co1
zJ>JkUs#k1mtsFl|{Uitu5vAK3@^f@69r3NMt8#SRtc+Q_8&&=Mf`KD>uf9$&3JH|$
z?eBxf=u2vB8Olo~S0*KBtsOXzDilMhf^8LY%x4dvu&~pu%#J%)VNFh{*4n|Ku+#0q
z0F&y4ip0nZwf#B{5>#NO!B3kfHU>;KmYPNn91o1p*TuGHZzUY|RR7{wB2*7@SBalK
zAFY-;`-`(ZagjGPk{F^kw9c!-@jRWg&34JW%QsY%C!N}+1_HPPVfQuid*F`606LXr
zO(BNl(A)Y}bL|K;GwgJ;k3@_hU#4t{4c8y8(2EWv?oy~)c*^N^cx=clPZ%n!Y=7oi
zXG#NJz79+PlU`ZDQX6Pro&Lq)t_^rq|8Y;kY|K{<Vorfqz+}I{ux$bQ{5dN#ekcDU
zDJ{5ea5<O(Gw`bBT6{(%mze_F_Q(o9RQOG_r@zB$`^`ieij|L!zA-%D-|}f_9<D1d
zB^;T74qh0@Shx%tw3>n5(;BQLt~Z^7@vclh_-*d=a~7V1-sNKfXCs~1uyRHE#Z>BS
z-#KWQ`B8aswc}TjkVJRXvlIjaXv{gVbWzhInSvWc&)vwM6rD|9@wod5dWd(s&uS(W
ziQ?%sGqC>P7r;3Q)L%4UmPPN;)kuKINQ|aWXBi(3gbQuRsRmBpSIJ9}TBcSYWnFJF
zqljT+d}QZf)}qP-qntb~LZVcAg~d`c-inMavt0+y_?VYlw<RJC>YccZqWLOB4GJF0
z)$g@60_nriRt$ySc5QVpHnCdj1mERhy7v{Kj<shu5~<8$)boGRHXIw>*@w3a)QwtA
zQ&bSSMUUT9fRR6Z6NOE2JO>0-e&D}KL=2vEAif0DClm-;=Sm!rG@voAa+K;X`O5zx
zxrCqo!Wt<Krn<6Y@`5@D?*d2c#UD^fy}p9jG{<97A3#@-TGFD4sA1c@c;jg9M=yS^
zz>zifHGHLsDx#Kd9r#$`N3XHd4v-tB7$tolg%yCTYE9OBB!R!q2$J!R9R4ii8mWf}
zBg}p+{UD+#ZnON!KyW88kntFUrMt3^*Sab0!&N~6@FOT#1k;aU4api41{8i<4fQLi
z+9Tl;68he7RTkcMyG-a{R&w7wI*ce(sGFH+XJiip^fC$g4uM%mon^>|$X}dBeb-6}
z@$j=W?ch_B+twRu70yu^;K@X07k*!csb`<Ol^+B~3Q0nJ=r!==SRYOD#I~tU^D(M;
z7H^KJ@-bJ)ZE427m$hRS1`wWKV8RZw?m^}rjRXO{4}^9Y&Xv<EnxV5`zyLR8sb_0l
zy>lm@dav9&nK2nvq1hn##>Oa&Z69TWVB6RZqJo`v<+1@_J!Hv6X8+me(Wlj3^wvWX
zREFo@dR}Q>$zq1C&Szd-0K)NF2}>Xr-k8k<2>-swSJZIMN@Eu!5qz%PHo@gm_OdGq
zek_ks1dHJ>Zp>n>t^*+$1+XaX0K9)=9vGO?cYQ|qR$%qB#EysfrB8Df)wBr_0-mwi
z3`ZIZvxqUE2M`8&m?zA!HJJ@eSg=I@p*BzHB6y5O1*+8$XTHz5ju3p?$;PO240Tur
zobt%xz6h+?tq8f~D}bq*L^`otvs-*BkfM@5h|6l3EF1)g6(2J~pA8<pA*h1AjTsp#
z-<UlBWN^}6s6#y=XDM6{Vx4N+9+XEBV#dOLwf)12d@H;wCrjDOf5f1<l}0d<A*Y?3
z$#}GkdD1QxHX0;&BOmp@ID|&MN$30jDDt&l4wQ2$5wggT_nt;aVc-NI2vBi0$6`m1
zZdS9TJHgIuM~8M{6#q<(+%C}dK0D=1mLKwiL?l>@D!bMssp~(eLV6?q;ym6N1vbsd
z+^sa+PpmomqO4)WWQ`9iujh`Y4+ML|yRX0gLm1F$6fp+)l-v1>BM698zleF0<$911
zl`10Ab*?XMDwx*P#DD;20MvS4y>&njdE6|olkV*-!S)UGbhM7y5Nw;{DdUGGy&|}w
zoQC3EOVN1y=^y0{m7Jgrg3e`z1J%#=*@b{nmkuB7ugY#IHrDjr*pg|8-WOtL(TNHH
zTAda%T<ZBx>4aln){vQqu4UL4@lR!q|19L$vC9nfIQG@6H)`<wRQdxyoTqqhVB;x~
z8{E5Bzead8|CMI2JZ40=8a*5u1>B^^6M+Ts-Su$$hXo}U`3f6xn?JT+D#+e-wtEA{
zk=q`e?_^^b=x?lfesVLJcb&_Os#mQh**7c%Bu08ZzDaj?SBa7I-IFCD>xyU`VN0Nj
z1)+Rz__y|P$36hP(lTnr6ZWftp{(YH!nEuI?bju7{G#nyI>)(bo^3s*&fK3W>8xqi
zs{=?@WzxVQ9|+_Cz1hb+0gKrI(z?-baIsFI9#78Vs|XFY3^~3$Z?z%nLhZV)hH$KC
z6JP}!fL9h-pboq;t%^lmhkOJBhh4yfE&mDg<Zr(tBEw_OU-ZBE3>-fS$w8DX!+5%q
zV0+#kkB)CfG}b}hF3O|%R(9it)tXzr46*~Cd#f%#lOKt%oNJAu3_5J~&w1eg6x8KU
z?7+Amrehb;uXZ}^`LqFh*v_sA>v{}9`A4#8PyaIUwEtY-{aM6yqHDq@*THUac3bQp
zU}YVOukpM%H?83L=6f7nW$J$$?B;a(zqW9j^nYv7-T3|gcjIe2oim;Ts&;V*te%w8
zuykw63cy<4!zk4#cw^6E#(z!tmMaY;D;M<J$a?oCKv!ECLlR$u>JXm=ivLh1io+ag
z9<?(ss1hV_xIUQmQ*SVT36Y%%*^lO~8WYoR9)}+}+1inQwzbWCe#t&kf4M3&QOCsO
z+CuR3Gp=k@a+(HPl2>iv&}5$4FTDANs}r2#tCIECEBv3Z%v$zg^zMqQFPJ1Ag(u>>
z#vg=5o`z_ePCVX!MAph^(_B-DI?fD}RwFNvPx8`~^qpM0y!*X%c@aAIrd?j~>{8Nk
z(jk&5DuSP!K$50E8*f|uqHQleoph#wu05a;_ZP7`=r<cpF#cRa1e{EIQTd9moIy7#
zW%&O4-FEP1jrq3FM~w{Jh|!CYmtK~ia+m+&xH$VEgGfWY3Fd-~hUvlxeWx?JsFXdR
z{9%PyE-Lti-^eX@S85F*$|n(8gz$LYf?LYeI{#OL0cS7&M@+yq%ryy<bja6*8u`RB
zjjlO|Q37Zc7D=Y4P{9EED@~MoPUHgQB_S{2rkVrv%5wtQJr@e&3<K}o0`L7Gj=FY<
z!|dN)YILQ$r1XpDj~M^ySGMbjI$fM;Kn<Ykh+ouF4zn{yRT8hCSmADqY)OYEfZjf6
z`@F4<B*+zHLn$ph@*_I@#a(M9sFi}SOU`@AT897X`XQumTe+I5E;HOac24mMMAyAc
zWZ^v5o>ICg&f#0vA7IPkO#zg<T}3740Y?{W+{;*Q{A<Khivu;uoJWZ%p>lW;Gg<<=
zK}^91<Z5~%WPG7xhMHftBqnEDMdoN&HGSP@`;Ll2X#@23_PYZM>Pk#r5y|osE3=>U
z$>-YyY@<TI6klo7x@rbH9SfWvPV!Hl!<nX@?YGJuI!ty4R%F<^6Ny-KZBSi*8@2k;
za@dc!hhaIm)B}t)&bM?}k0p-b$Xy+~4!w4rSLl%;H0Avo@%jd{>;Kho%c;q0asD&R
z?-^h?^tr%|_`E%U2;+qTG1=T$)c@>DAf_GH=_K!Gdt^NCEx#lUg>XN><}7k2U=$j_
zPq-8Rb5j5PP9Zq}Mx88oB0PsV{NJmD+zFtU+c<%Gy9}GaIIW5Q|3+K;AB#lT-`W2K
D**ydO

literal 0
HcmV?d00001

diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Figures/Map_LARbasin_criticalloc.jpg b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Figures/Map_LARbasin_criticalloc.jpg
new file mode 100644
index 0000000000000000000000000000000000000000..8d5f37fb0cb8bcaa7608824f29426d9f7b4849df
GIT binary patch
literal 102040
zcmbTcWpEo^&@L!5GjkF%#?0)PV`iDzmYF$bh+}5U%*@Qp%*>9NImY$--K~48_Sfzn
z&6KL7neKj`?lW^vcYiE@Yy;3`B%~z(5D*Xm_s<XDV+|k%fP#el@Aw?hp9c&)3=A|h
z3?dvHEIcwIGBOe(5)uk3COQf#1}YK~Ixac}7B&tJ4l)`ZJ}x#sCN>WCe?lOjKJS5s
zL4bilz(zqr!T$d|KDq%I@Q@u)w@?t@0FW3EP#6#&{Qxom00QRI+W!pxzXt^5r;V_1
z@Cb-VpBFTs10W%wpdg{4{<He?YM;;l0nivQm|s~$V6l`8;l4Rwv--#8z>|yC^x!DZ
zTv4zYIR+pg;^N^G5K>Z6)6mkfb8vET^YDuO5SNgYl9o|XRa4i{)B+ltn3|beSc06K
zU0mJVJv;-0f<r>Xeuu}!CnP2%r=)^&^YRM{i;7E1YwPM88k?G1T6_EY2L^|RM@DDo
z<`)*1mRDAHcK7!G9vmJWpIqPE-rYYuKK*<C4;KUg>VLud-^l(SxG+9(K|(`ALBsur
z3j)&Z^Mt~HhWW|@iz%W6XXt?Sjny9>TQoMOrU!wXP5BDP$Z-Y{mx6tV^7=n$|AXxR
z9k77^U&#J9u>XT=6@Ux{@##D$41f^e6sw>2!I7QO)b~71^-zC_#AEtC;sdb6SygBA
z&f(45(uHeTW_e)ruD4#bImx2C-88p}!P<uq5!n+EVN~;=M4d>MDRdQgsyND)eM;fG
zL{*YD0A7i)nRfB(x*sXKY?G4|Zd<FV(5y?DH*oALF5|Vbc&;5@{0-g9Ni(2oFA35c
zVU}4V%c9-w0P%34z-fK}y5xY=gS_Q44%w#!L$5cWmpawX8Fr8Cs59-}xyIo>8lvdz
z3h3%um*K`xxHo^XJX}7_*LyphQwMXi;Bu%BfDSnO0}xcC?>hBBTJr(;1@3&h=Iq+(
zg4ag4w`8;-7vS%P5R$PA=9k;CBkaC8#$4S9;x_QZq<LV$i4L&km#vZ}<3+8Oy8B()
zdip$Lpe?%SdpW0Z)G<++Wkb}q)?1uMkwA=CmaCBa6f&)|T+z|bL*Ido5xbaG8;+`S
zdn1HxrPM@-TGRC2!okrlU6Dj#!8?fd#s+%BdmpL&0Ay))UHU7L2oC#>)eAj#7n~Ud
z3>|{pLxCz;XN<=0Zw<0Sf9`*iFMA7>qw@V&c-%eV#X6PC543s9CdW)+=CZjT&}_9K
z9NopIj@qD1*}*Oz$y@HntogSE+f~^fl!2zX_8$wCBwo6asO)k&-&I~3tETq~H3L{|
z(B7`-(T4CANeQq1Zk%clbf|_c8T?DR!}h}elSr1u>5FdO6(?nL#z9Lh77}ea%weQ}
zb^7x(14+}`Q)1!%F!&u_69hzdTVf%SGxFW6zqS|QUySUG-&KG<oT?AisnLr-_we%t
z3PebbM#tn_!xldbM1@u$)OFvaVKa4<S09QlvVB^&+PQu80f>C%s*qwF6}R-5?qP*7
z@FhIekgqj>ZwiYx#qJ0a9ezFYML+fG+J`DP7P_4%<?F(<isMGgw!(*c_u%*y;cL2T
z{w|RF0qBGwTT%DDJ;!^yqJ5zWrTy3La_)uy-n}SvIj6FB4ci)-b%tW_W(0a8eIKp+
z^nk^u2P7ZVvR+@rKLFl{0uf>fuScIz^GC;N(!U(-#cclRRivT>`Up7m_5ymt;g!qu
z-CO<svaRfEs`UYws@H$){^XoT>EAxTS_R~1^do-;e8~skD(RGQPGk}A0jQMI&(Z(i
zR{7Ri50RPud4IxT3eu81)OOF(f~m<lC4XP}3=xq^snqx0|KSDPB`#EJJ@NsF{x3*m
z-xAG){{E*|u~-~x{`E)!<1`jiTX+$b_t$x;__bLRUx^Qt7Nw^dXVnZ_fmUYYjPDkt
zfBs7JKbQY>>5X8S{Bjoxb6J6V^}CPo^pI1`Lbp=F$bi!n>}mzQ;r<^sq(4>p{*Nl<
z2Mn6m<M@8hVZ%r$E%Nu42JWXc9Yg=@QwZPFc#Wf?|HGTgf0|rBHDSL+h#TJ)@Jm)e
z#b=-L{D)rQlg>~ex&5?DobPFx#!=S)xlO3H`~z_KKXg7|7$ind!QW3<+&BvuyS+Jr
zqVx$A%za=Q-U{9VC+#ym6Jfi43?^FqFWWRmg&K7eluq6WFeJjfKL9)UC5iY0ob;p?
z@j5a)5wkYuw}f?RsbP?oLYH~+^-T;oUWf}JFcIcB!v$j{`GyWjv15oP6I8yN?3WF)
zar}p5SL8ot_xu%^WX%#UtW4@Z!+}>lTF^S{ai)|}pgZ9}lFsXb!x9zG4wS^F>TDgu
zBL6^HmPo-gV?Gi8{>+g^IbQCHkpC$LsNv8oifvYBRBs+%h*kl-Wli_Q7-Q@$dAkdJ
zhXvJJQAj#~MHR}x%esu=jw@7Ux|Wv+#HKzVEQ_&~5tIPSB7C-y*fob-Y4dQAm&c)(
z!89v#y3TD>HjSus6N(0HPtE3mWm&C4cwaB-w>uEQWs&-qi7y`jf5PT!4;HgJrbMvH
z7JK|OCDFHprnpdRIVLop!BYN5OhH^rmecmdeDxMM`%^XQFmYN%dMVYK#1KjLQeigf
z4}cH2fw&1DT8>I+iv!}%-zgbq@g|5#dY+4K`@o3eA=Y8vZHYqOgfpJRp;!2M#Bhgh
z?094}(D;<2W@SbZ#n@N;_kYDMNF_})SpP{Qj9P<OKZrYG^Ik4&`d*y7yUTq;88386
zX!j62qLRA*IbSC@Y>}wo4+})T4(M+7HLTd!QFjYEf0AC5c0Bw6(EdVpNmzk55!GA%
zPdI`wCuhWkMcI3W?X-Cz%_?;%mLc?HFx3VURku@VwIJz+=3R+^PJpJR_O~Tvk}yG`
zv(5*=ePO@NS+|UB?`=<W7UUomo&ygF{?6&w$IU@>0;=bwsiZtTX!(!5wDUNK=+BV7
z%+o^Oct0alXo!1aALRhQD<a(Le_EZxl*7jIcKQL>lE{ub{Nlfv3slGW#VDhCO8?()
z<%PMIL*Tu4Xe%;%_Va#Y>@(Qq=9mw_nE5Bp$nUF^AAroN|5zCcKTfQcvk?ED0z)5(
z)i9p-4(xinv&216`2aBLf5s9KBrRUS*IH>NDzck}|Ljq#s>+XA>GJ#ld=gWK=~J3i
z{?rJ9XYSl$+TC<c`443A_ku86%#o*>@~Q7xGEP#Wd;DrQM<#8_h4WOt>0@6=(;|V@
z^Qrsrrtxcs98napa|UEz%hX*b<Dlvf8^nMpdXHTBNq-US>Y49!2kX9bcok>8dF?;5
zRKUl3n)<JM5f0Di^cO|M9xFD@&uUxHooa+fbb6(K0O~>cTuUM;X}>?IvzX<!&|qK#
zM-m+n+gtr8H(H~PJJ^<tWe<vf+fyEJ5ZpA4|MY0MYb1_pCTLw4W`swXyI}SptjUVM
z=KBb{ADIRRLVLPSvsH-Q6GnO4oBoKP4nJ5M``dSx+VT6`;AA$cM^}mbWZQ6^vCqlN
zfznvO|2vjF+r02rG1*P!r5!c>u`st*yxBylbeVCY#q;FdD+t2W9!@`HQ8v^=w!IE3
z6W}zVQw@8p<KHb{IlHzqcYr8PvFb`BT^9bFF#RKzA*y_Xb+DBYR?Xju|FUai!h|2G
zMr%P{=ud~-gLpHfYJB!KmY8Y&jF(2oEfWh&zkgZ)7qJ>qYC#C4I#^`g`yj`|)sHuJ
z2}ePtnJ*z@fY)iY0E8xL*QE0=Ehvr^Vrmj(SfRtw^0pV@x(<rrGwz0t7u9a$*;a9-
z)M>LS{yD0U_T@9)LS##J;jH6GHXbwS5}qSm%`N#ed&|Yh*Chx-*j6(#D)AP(YZc~Y
z{s}ySXZ_ZtArRP-h~M_q7SJW!c}niCAC!R_+jp>q<3>a!I7t6)?0No0vhw}QN=$sn
ze2L`U?$rtUQs#m~gm1G%UQ{4}4+<sNKQfIue9Mz&e?+IN&Up9$w1ZL;$J-JNeds4T
z*<Z~Sf*!!uH>+v&EoozR50VvXt(cziTRK0BtY@L3Q1{fnYTu=#GMS7Vi4m6MJk9;Q
z#tS;X*T$2SHoD~&K;_k-zB=4x-xPYECsjy%kd6?JdSa)~M<I>3^I-ViP#BZ$=th`Y
zMS*rB`(^4yqPD#-7LRA+RK-Xtl=`-$MXJt$f7m}$i`CP6FmCZUKUQptN@$Zqeb+n#
zn-2gdO#2WP3K61EA^VdFq&Iq9t(otXCCQ<Sd`V>2;sRA|tc*!6PRAAvEOOwJ`2f&B
zc+CN=1>lC*D|d{+3NJ_Vw`;oRusrK6XF7{NZ7Ae>`7fpj%1WuHQg6*$N|&>~O`fK?
zr)p2Edp7Q=W*#W-VM)in&y*dPju4ybgy^-0Pc*0N5SIo~&xV$$Q~HRy!ThX6cIYGg
zZA(r4W}WU^Z<%fHG_L~j<ylegkC8{s`{zUFGEZEM)#Q*}^`@GekzDqg<FQxvC5#`<
z&cQ5h^t{ZYlu`}Vaod~+=c1G3+Af@5YnKs8WSXPKCQm$%aXwBes4WJLtit6%sAgSV
zefGF-Nbt*hU*bxZoJO#*sc~Ej#>J3e!!ar86IqVCv7Vev_ZWuk_v&(Of5mjCxhk9!
zbng;}(x>QtJ*F$wY0#KajnyMF>$j^HC3%I@e+wPvyO)s_-aMYq?2eMw;PmSCbuF<2
zsc`(;dPl1*j_)hJKUy2=WObF_2Y2U`ePrmvwA|nfpuW>da2GTAnnn^ID{HTudNyXb
zFQM3fXDn3QN!h<rEg@5qGM~!)dTmyBjn~_WgWLHv>QXIQ1>@g2(cty<tBmlMrRG<(
zYoXugf?u8jdwJipTT55^Ncy=TT+_L%)rUfTO{-9km{+nIH#auL9GUW4Q<J@`-WRda
zhBaJrU)kpB6$npADTDuVCC8LAl}k+H6>=BCMV+cAZL+?VP|UhqQOupO{{_!(s@(7q
zo9uPcYwxmW5<UrY=-P=`*fbP2b=O69qa3YS)jkzm3CTXidsvoKoFDwI1VUDy0KI}^
zpyr7K;Ge^LuO80^vRAZ0C>1Ao@09a)#y9yL^As=(KG-yXU#bxMb5CP~o2Y+8=Q%nY
z8G%Fnh)U;5_J*7J5uUp_PZ-y5%Cq-&s229)xP#}m1u<O8Vh(zFJH9J?;?oTlm6t9P
z+Q5)`=GunNR3M*qgm<%|yue5iD696Dzf;k1&GN}=W}=6|4ZB8T98El`<EUf4@l`e&
z*R}897T%PNKw+#GF_*Fx>>!V(37rYzc(n3U_H);t`nuiW@FUj`fVEb8UaMHd`A~ru
zYUm67lkbn(#wNnxw=prVhdqWHdcKkL8wXv`E75GS+BM2!hEQsS_FJauaBn5c5H|cj
z?Vr9l-r`SFg(tkf>PTZfxI)R}JkWRy&bY~foq6qsNQ``B#p@R`H)YFYOKb|-$p6~p
zNA}Hj&}+ZNvU|OWj(z|Xu2F09wt!lHD8Q4d&_m5}@N^=RRuV!h8ok$+t1dZlC*lnZ
z6Xe54;}i2WLqIXXU-Lp1S?HQiUGmM1*U+sIDqCTstMt;)5C}t<7~#(<%JW@2{MS**
zc{E#A=7bx%7{lwoPO=X5EGyqfR?&jli(1qA!TpV#j&FsFJ^2w5(V1`v@lW7~?}2(a
zK19M+r!}qbZ|y52t^PBT+bloPM4~vtIn=rVM(Gk4Xx{=QXZ?75v0iy*+Lc>c8ZjmX
z&#t{Ii<USh#CG&?+<A~J!J!WgrH+gjsAQymONGjN*bs+6u0bR*w+9l(Ss&ahV&D8i
z^f!Em=Or)8Vr_j1ilz)Iv6)zZ*qr%0J`^)7ob!Ax8ZRloC79AzQqH)vE~Jx3Fv|44
zMAd=t<^U1D4}3P7Y(CEZ11Z~eR}hl;t_`Vx`icTxtHGDpi=eDSUDv>CA(5r4nvF2(
zOXNLcsHbT-4RKalWz+R25(QCI%R7MbFKn}nh-pYfHZU#A1b~tFAY5f>(+>+f<EbFq
zK^WFSoWx=RfSo?;KLw<LkhBB-<9e8!dKd~}8M-_@CH%+tFs{5h6x@9&@Z%j94#glP
zSo$=)jv)t@j!1O{F>qN`Wh809LkNr4RapLD64dMOujUk?I>IDCH^P7nb2{-e0ul{a
zb`U~RjJbXLtjJ;H=s5?=vzyjV>LjDNZxk?sQO#2VWMMGD0GE?dlbom}_($CZED^^B
z0U-Rv0DN<9%3SO){&}QYN}F{BwJebPha~hrP<hx75XS;%ODuk5gLzUZOc`X2a&M7K
z30lLCP}87O_jpP*Rzbb28T4v2tBX9kJd{p?;-djY<Q)o##nII9KQR(@4#UAT{yK-?
zUhR~6ekKhH<Jq#dOjRa1sYjw;>R$+JVA7b^JtlP2k_sg7%z$J2&Fjr2i#t?C3INyQ
zdyAju>9?CDgAv)r{0rO_)A{9Ra`d@lZ3Lu=*zuv=Y64!f^*nl>;7}q|Iz?RL(e%R#
zP0JcTx)jH8I0a8H7Lg&UjNblBHmHa>!b>~YGX5wpvI^$D!`NGrg?elDGhNFWEw6ax
zj_&Bp1-&h)jPRySf&mw-Cy}^SNX-z3BnlHo%mgE~m1vlw?tis(-Ki!#_!DA9PoCPT
z4}%e>>9!<vvTvxT@<!w3Wy|xO>Sy7~)fG&rY~hB@fF=RDgg@*V8v7)2!qOBG3pDG>
z#qsm=(vJpF_uo_GOc+8~Via)r-BSLgb|K1>D{~~k{d_D_cRJq&=h$(ZOnS~DJg^KH
zElkXDrS|B|3tEieh;YEH1lWV}pJRVF88o7aC?|xha;^k0NtfFIcT7d0oQtbm2I6pq
zgXMV_v9=JfY%i=dduoYe=_caDMQxe)u?ASU*bJpcN`6fQ5DZs<WgVIH=G^4IZ1jd7
z_ak0Kmb3CL@f4m@+(!RYZ+DXr=wgBwcv&KDnx4h2aikCK8={4XF(CsEWFG6e;g3Eq
z2A_r9lJC>S4iAF-O_M~Kn;%MUiOw{V3`Ru=resWHxQD39H`wj7kEHk5k8=i6O}+?O
zt5L~?H^nv+C7|@>aL^6+uH!+-^GqmfQY(^b{U+O}5D{o^3?>G!j1evzo3_yF{w%1L
z;LH2^n`fk~8sSHZJtS&ME*c$M80`LWygHD%l-1Fv*wMNGJ19=^@UNb@COU$VI25wy
zf++;rsMCE3rdt>;N*tXlP0M~ky0#S3-KCZrwA7m4Q~|}~l(TEg_Al&YvJ=rkd7t8+
za+N`uhNggwyv?F882$T{hteyF+%IGl&)|&nhoQtVWr%W#UpnAS+Hb34te5z2pz<Jz
zJkrzwPNIgJUnVCGfr~-GzxHqBh--tPX`%d;hGirlYvn|BPzF?S?=Ka1X3=>xj3+M^
zyqhT7FnWw4$=P<6(+{fh$DnB5NfX4;{e@rp?~8wyJVfviX*39!+~dannA;j8iIM)z
zOGDa#rM)R*jE9QjrS``P^6?LEKc_K|z=?JTkj=ia&(hul0`xG0Kz}lN3AI}LFaLJk
zxiFtf!$=;tLT97XyS;?qNJ37|C_s2c4@A^B_*-AJ4kyCl7DHd)*BtKkiDyyJxmg6e
z@+P(^dGVK}S*+D<Qok$_J%wxIoxdM|@P;Ym_2r;ghRW9!x6I`Nlnb<)zwfxRmw}t~
zSz_%>-a;j`UeaV2gZ)0Mr@m(PpBWYeDi0O+!+Va;ybty-vNiXYo_Nbzn~-ZP&fD+E
zQE>Pi{l6wV;g<vnkGK|FPbE3lYm>AfCU;IiYpqbrt6JE<&K>THFR0vpa%~EfLb)yp
z3%)`uLFSV&A19HFl$Yb-w}o#<ASP{uyPU5UsNSjq^4uOvQ8ramHnNU|@%B^Ng>CW!
z)-m0{MHFX(mpjVZ{{mxgc}~ITF6`dTUx=ar_qno1GKm^+$6B?&^Dkr2c!*W>mf^?H
z#Yj_f2k>w?;^QO*>ls@EJb-C(bGhw-UUo$8+#EOyK@QQe8Nx@J3&_Pa^~u^2*j{s0
z6%oX?%2Inch`m~m^o^bdU@90L$Q8km0GU&}n}{ZM<vPy2n_u-RZJ#M!AO8Wac;QJ}
zs~HOJ-1vx>*=Y!2*l-#^e!&3rbvS?~H&G7oC6Ap{4jTY50KEr>wW9BD9rq-Sc5)*(
zkO+E{1K0~Pw+pgd7bJ&n8!cXOWjRHqJHvJe!mDp$M+zh60T8#}aV#cnDqY%&hgL7Q
zekmw+1be~&pp`N$*i&}>aFYp0?-E?Ip$f2-gyDxPn+@RaIL4picLqau!%}U_r=>h)
z0<F;cHRNWK{P=6X1KiVkj(m5>7D-QFj&0o6n(syqvh1!UHD*lFp8`cQ0le#?ZE+o<
zdEia@VES+LC1(;AP?^)6UoG^$ezmd7W%Zrn<TiXFJjPiVR1FX)i&zrGJR+RmbZ>m2
zoOGmY;*+;xwS#-g68?Gg+_f6(Def#(0r2ExrS(L-Nfo5FddKHpx}y!Ef2_25cNwa1
z&Ln%P+v&pSt<^rksJz^9s-K246&JDdv2)JJNu^MEn*(PB3d7RmeR9e(h=M<WZRUqX
zJiCYOoa={`zBKCF$UNDyWB9pHg6yn-?UZ|~%fGqLLTY;BD$eR1Y~q2zkMN;OFG-%z
z3Vt2N=n!YKs3N6SnfD8DAK)?KDXKNNmTms7G66E<F%(QVZ{D+kG{~!v#vVPyMia@W
zC3C)(V^X~-tUw3srl`k?yBM6OV<<<_0>((`)bs*UrbANM#|Yy-Hw_SK-}BV{>w5CJ
z8iUOj00ulm6_}t?Jm7$|OdUC~|7?LXW<Qz|@J8DyepPBEP*p39$Tb>h^LMv3fq0R^
z@>_hwLa-<tHC3Uy{IK3kgOPI1Fj399ytoNP;J}ak{kt+|W{aDltHQ)s1f9x<EQ`UN
zxeocD5(u4uj*?j&7<?$m5}jeuvZ6iJG*2`sFq`m_Qi&1TV(dA26iXc2xvEhcSP$?8
zvAR-|I3280VQc9;>W2Swx1`)m<F4f5w{<kon+5&Pbgc57IUgN2Jr!V(ZZgCAamgWv
zd)+~4T*S$LqymL@arQ^d+h3jmrevss#aHHsRS;$Q*XFTC9*z;9_@DaU$(D?P1D=g(
zrG2GZkmWg}+tD%;)mI6MdK}{w2U7Bq1wTQKTPZd=OLO%^95q4s^D%63Jf)pq>YCdc
zUIgl(r=VZd`$2+AnQ#U4;sHMNnHP@?BUcmYNxTjLYJDZAry30uO|r^MbOdn4Wdv*8
zxu#n43}N`FgMT(Q!fsI<7np2EY9$aNGMVY(jzah}E44bc5O7WiBZE}5WN;uc^Gzi=
z#)eF?44P_vdV+!?`x<<xR6JDMlUtT91XaR7j)v!Opk$pcpDyy`d3GL~^7m;8^t;D$
zS_+tIk=+iG3N8>$vJk(FJzj%snLFz0v24#v;c3)-9YSwfK!n@k(Hv!oa#Otv#YIN>
zYuEVgi)=d++kiCVY86aLYe&K=$5t$Zx2xf1-CxmH|DGxqt-2Gt=^BoeWC*8Nh2I(T
zNqacZ4*$HPq|2~a;5(Z4RY!p<kQd_o*^p%;0;iPc?Z1%(h3!1&RVFBB%LA>Ld`|WR
zbrEb2WVj_LiEl4~xaCv$I!Pm!s+cR@>&^rf6I3`JGY<b2=Hsdv<z$ht2rE&6^^{@A
zyjkg}s*h!iW{kaYJOZ4HYWJ7PObB!f1LaW}-$LYx(LVqlUR4F={1KHhkf{~;7qf=9
zqzXW{mA$xcL(owHiRUeh`o<)Gf0eUECGzSuGK&=HB(6dhqFR<>V`Sdv&QCr^Ce+<d
z$TP=A?(ub$)Nv0H&n4NDLsX-I@KV*M%RbX4v@6PNv2!>eghKZblb*YLzw%UT<iHUe
zl+D7h9ZBxH3Y+n>SUiV?S|=8jM546jlAxf02mp$jzZ-Qb!HBI#$rwh&`?s7UWjDg<
z8lEYr*>de~VPhB}#X$wE4q{T$5RQa#8YCmpq;J<!RaCn@&Bu)ic8J{23ok^RsXB=O
z<3MTH1LxU9L|tK}`8l9_(OR_uM05pV0%iWPJYFYF6bC#kH}*n>eOrfr?r~G#>#-3`
zbNnTuTA1C&h|p+OHL3#p1wCKlg)KC_|6}yec|sM&jTeu=zk2oHx}x|9@0CGNX9nn+
zp2get5VBF4MrWjH%2-VA8aj!UvZIjYu9T4ftf|m)>2cf>4E_;;<I^@QASd5A(}v&>
z#T(8O7a6W$`}f7lw;odhVTz{$N!qxHf@@UV4EV$K>M+XbR8Gx~KW;x-W^}BjicJ^A
zgEF{|BIxilb8+f7mC~tO#IJHeN&S~`$&a2*Z{BdmnQyE_N;QDWJIhe~jOxPPl?-PI
z_!M0H<Vp>zEe^fcDej5*0mv_stBNY@WPf5S6D-;5P#D-5^Joneo>;TPuc|d<^)Mdq
z4Pce3FsaB9kOlgr2Cx>~c+L;8u#6sVW(S-@`T3<^gX^46iN!~Db2Y3j%P@T^)W1M(
zKa{>`^>M;FEoNE#b{u7kqH!a&{6W;1=}|(XIbFL~g3X>Ozm*J*JqU+r<Iq#QX>lbV
z8-o0U2@F)0w#6mM+X`=SMUIKd^Rptvb56Ebids3<0DF)KuMK&U2Gd$-)h!bC!5hQC
z>8M5OnY7no{^-$e-L0WE_R~bOR!LKg9W5cp--nQL^FpwFf#m~J;m42^QMVLH?D9Zy
ziA~5X1>6QSD-E&tt5^`ni7Baj4=+VT(PX2wMPqlAuz}&Lr2HMgLK*l&o-}|XOL1x-
zuOb9kl+{9j)=3y)`g!&soCd-ncH-+14K^X*=Th>kXmj$wFN&J0h59t(b;=ggv%CgR
z(uR_O{NrRi6=tbj(SGoDCyr%RiH^Q|)L*nTudgh)XBov%(`PoygNroe5K7oIkmbnA
zKA#HU_9Sn!XJ-8nf6mUjU;_#x%r|4~X}uI7<{GdwEG+=+P+*#=0>IZ(86I{;_iR+^
z-OXI<c5)Z&pSWJ>A_R~8YC@>ql+#^1gmsM_b2~|f_#0H~oDL`Sd_$AZm;GpHM<utS
zLF?mi);?Q*^>T>4$kj*y0|1ZyEjaO@PS@WRTgQ{U5+=9gWd5aYnBG!XeMvv+u2E_q
zpvL0KMmvCk$HJsGg|Eh{L>w8I9{`yI`++^Cu9V79`KRQa3AtYJ(zV}cSA4;C!%N~E
z`FM!xQn5W}5>^=torF)mn$S~4V$B}_%t{o1v;BsceNJAi4r#DF=yR`mtM!ih2Zu2i
z^yq2zfb^AK@dIG`Dl)Bz|NZ=4m8_3>b?7=9O)(pMGw_tWE63P)l8M)B?c$|O>?<=<
z_cW6i1M{i@bn;X{cu&nn6UDhPKhG9k^!}ci>ElCL`1B~cpi1N;4?AUMQ*>YTSs<`}
zS+?a+K*leS#+y1R;=p>+B(}*oN%%qU9|d1VfqbpAu0a<LZ{(nH-k{Ga+|gk*ES+b{
zQBy8CYDM*~L=*_L-iZ%PUzFQtAU2Ny?JnFSrs19wj|Qbj@v0R=Xh7eUw`sUX;osd=
zKrrn?t0?5a&rW*H^6Zwa$+iWm6Ettn7@J&hvX=-K7IpADh>xL1ET8}x7oSEdAl)BJ
zf$<m+yFnvay^|o#_X*Ooh^T|208TJKGs*+M_@}QW1CqlLXaJnj6G0rls9d|`G`W=X
z9lnSf{FUcCeVz&R%xfVGYq8o=Gm)N^C~QlJ3F0w7N?Od=4u}6lnzR9X7MeajyjXg5
zup}zMlr4s^?EHI>t=D|qXo07i0>9m8W@2gUJb_{54=6;>`{MjIDB=aL#5fHIK=%bL
zOwAXQjD?DY%Kk=%e&AkaN>O}Ml=OXmfIuL2D!eR|@)>pWQP0T+!l^or8vyOgf_?+d
z9#2ITn#FnfR8wM@3uvSRq0X3n*;e^4Oqt-WCzM`}HHl5$EvgPGC^Ip4?btFb<Upw3
zb0MuQ#}dI+d9$}=)`cPurwl=!J^PT$<c~cw;2@4K>>?w8+olK(XJTW5W4|DRO&njZ
zrMtohcU{aN*t2>>uwhFZx>)HUKDqswDKtKGydb>4l{q-Ks_gVA63{F-9}yJQK3f({
zJl6z^^Oy9P*dS?;p1OZxUmVJhD-?gXQDn&T;8mOXJEX}W&w%F&$Z0^Fym#`D(48>u
zmwu|ixU>@kW7`;|qc%>F(Ty&U)}@Eoe6eOXVFbbfiTg+Ql;_MWllGZ((#9Ko8(~GT
zk`GA-7yo#}7V$x2Tvz4Rl`HG3N;XxQ(YP>X5uMc-l|JRTX{UjM-WD?>5o%7b2W*##
z!2;EA_l6!NkA+X5goRy-OA*hyf{xc5L6F^IXuN=xKCA0AVAav1#32zM2a;103g~)?
zP8`A2fwJtNL8rY!v4q&%BXDZF_EXk!-cO!3sYarb0)Pdc_kjB9Y*RE_n~=sCp-jfc
z6(@7}#X*x5*f4Eoe#qTZq1rXvhmqwu)RI!rGevM$Kon)eE(&%YR`>#Os$n!a{h7IJ
zE-?@~S{XL*JSeMy&d7sSu|2SKJQH)W?GBJu1QAg5?npSOud|ojx)ehrvZ!YI#r?3v
za2eUnr(*^XMR(A~l;RA0Pmq{(pHLDNEr8$|^r7c`luMpq$gYi_S1<L;-oIU~e9KYZ
zP^B3ujaVm{VWN{660m~lCB~&`@O82SK>D0W#((!?Q+{nGvK;kZt(S=mA%D4|NwP&9
zw=GFR<3VC#?vNAf<gjMJFQEarDoXQQsLo&Oj{7Te!kx-({*EjPTuqB3vL7O$b1|O5
z8Uq-%)ZO2g7JD}hkyEoP@Kuv>NVu^K|LZuC4m69PtM$eGm9RD&BdYz?;lzs0swnht
zn3>q|YRQPX!0_8yD0QQiMURU~%YztXXMuA+&rMIo({>b+3joqV>j5`+fVn+>v5MVs
zw4~`T;P%H~H`D6ein8@Gx<qP=9sx1uGS2CS-l8kxCJ|+wAVehBJ*xbMrno&Qe6rb`
zw%oXRxhf3fHo@Ku)b|ruA3E(euAprE0ky<Us&1Rk`f?UCgDA&#Pw;itYTjUtyT*=s
zKGd#N_E)h?k1C@$(-vi-EYBzNhuiDwxDSBr^f#xlo+Q<G{l)qqk9_|lp$F}T_vt6;
zUELPTz2@6^5)lC5^H8@QxgExnl|l>8x-sIGBD2+@!ZPNpfNam|d3`B-l5+b8pp}08
z9Y-23^gBlv+Nflj6^liWP_LXN<0@rlL}Oe=8tS^I+H!qr`}A$&Q8Y+aKnr)p9{`@w
zwyfN~72AX26E|4{VwaCDHQH+zTSTEbs2K^zwn6vU9@OVG|F+TN!I90{Wna!kA(h8*
zn4hnZVc8Bh7@&aY5fDBGvUPv+_gDvExnaW6xWnNf{rOEcz7h5TXj5xJ5+<XiE+z&i
z+L94D#Ca<B#!3mllzXY)XGWt3r@!ta@2g&@rTSBtu|icM6jjusbEY>H(#vS7AM6-I
zg-<8Vt`08ak!oFdff?ANw01BjacT+N58|Z!e8N_2x7FJ6waaR!$)WE#l==qcH4Yx~
ziQpH<%SDvHbmG?j;w)tD=id@$8pH3xAYy2!;@Q2XA;3CjF%U8|0PGZi(|@mSNMz-i
z0c=2qr5rV=sziUFaCyRs4?3KKVcZiy12ri~r!QLt0-Fb0FaKuBnrNnfWubj<sS=;P
zd#WFUx5-hg8T1z>T{zT7-1)DiOKpK)moBbJVIPP~b~EBM{2b>?caI48IZZPJWQNFw
zITa_dMELxYl;NFqKJdf7%b#Fk3uh6A`HEc+F#!02|E!FQG{Q}Kckw9_r(tC;U`?U6
zm3fN%^?>abrYuM`KX;?j$;iq_FQN?iTKd3y8jW+T-ek0@JsfA`P~YS^@1Zfe6{A5g
z;eF_`P2bjRTM2v|Pr^kuaT$xhuhME?&=z}ge8iHc1oK%VK%6XhSAcpmxGW~m_PUMD
zBbC!jnuiL`t9&BJ065op{b(4Vf8U8w8I7n5u}$`_sX7#wkgnWB-UqI1%7%qzZU5-V
zC@5>jzge}CQ?*Q~(okauM%5RE1B7`Fk{hTjPK5#3&H3cB3DZzO=Dq_(P{!mRW6yjA
zOXR?}eAp_NgZK)7WAX<8nV+YaxG_Dp=`oj5;aH#geX$d+=4!HIC%HapCr~b$Nt%o1
zS!2zIe$Q^rNiAFm&s}25?UGbyUSY?;V{WZlq~0N1iZ#&x-~2HR0JU93>yJ6oP=kkM
zqnJ7s-i>4vT!9`I$2d_KWOXIkn9?NvVq|(xj@-((w8%V%K?Nhzmu)hcI3Dj7&diYP
z*csFZL;NXG%iWXBzkZRSIJjQ9OU4oiuJbdK#Idt=d1>*PbW+Q|*}yaGqw<6GzQFhb
z5rlPa4%YCW$MQ$;JjJ%VtUvlz%Q0aj8PZhu;*X_Bhv=@_m1{F03K}GorR-8j6AQcu
z%s0Zvb$iu&y6-FWYPd~_ur9U8G6{>qg{z`aME)}L*;_LgN({OB&|{(M6_g!nF4>o&
zMt+0Ub2^o8O~KPi56=`x6M-uNIe51wgezYt!s!DoeoK+#KbDxeFvxm$E?|)&0i-zU
z62}O`dz!6Pg4S=>I`rn8(<+36L#Q0R{DE$nke$Kk!JFE}DzhPb^T<l6<fFs~*%rj3
z<OGgB^zC!)3`W5WQ44MaX5?UJQZ!r*z8`W2=5MZ!fXZRRwQyT$ecflb4?qaN#{ot}
z0e(-LW$wo37Bh5uc(xrs%8*MLe&rv+`ck&#syD7f*sgFkYHvvfO0MSL;IYy61F^*_
z&A0pzE_n0@z(LD3_Axi@Y{q%VoiBwR5tg2sF26XRz7?qA;3Wxh?_yD}T8cTuT0$E<
zZ$`1L%BD5sm@SjzchF)#r&>xoW?V%ep;j!D&Sjjjn>6BQpkd2O*BCy&NC())gt*5^
zc4Bw!-Q9BS9YPH3u(iy|sr#+virzurg`u!K?YbacSasxqFLQ|%9=VWiG}lzQ6+DLD
z(}Tk_UR(&tG6i%u48M-fN2g_s(BLW^ddQG5lEk2?j2W3CR%c!N2X0tR-<j5^N}5nf
zIC%cPKqinr>vB9-u&JNdv@7k!Ct{2r1kguBI9Fa-L(+uAik}BhMo%>xnhA?x{7q}F
z=x%|Kq{?LUqM>u!XnGe(9y`UM)EX$G#MytYY6o$;4_ZyNn;K~-8`<ZyOnAzy;hg@{
zAldsvKz*|zGT<S7;`6PQ+xJW@E%pod8J+s9I*hvEO?V4#`V7<V%df(`j7*DhIR3{n
zWjooVSzTl;9Pi8InhGffm{nirsJs5TALfi94-*#4-4uLc)(;#u4^$XFKd&fijfqO=
zSAs1yOGi6KigdISpt<Nz7wf*Z#7!PW4J}58bp@xz9V@lsx*|%F<BaQ-{yT4|3yfGC
zm^iDj^};&Vw9b{FjHU`J1JO2A@4Je3dxALuP;FEt34A5jHDXIwWi`<%B3ZPFucbnD
z!`+R{C>TOH(BPTK#-RXK0gy*UO+lpzD|*qq>hD|Xam%KIAM3`t{ST0ZO(80nBTaC`
zfk3<B_AnhBz#-VP#+h`%6aQOt(BWT0C0R3@_q_lGYt;tFa@C$q_X%M5N}*i>B;X)M
zTgo*{kGn#bv%hes&DQIAK@*c+{@BW{1|9R&sK&Gj{)O`}^S;T!BI%}Xgqzhkh<LXy
z{a<9<`hwmX=ECDwga$wAW91e;mKfToQ1|B<78(y_aWi_vSjhETuyH(LEmS?BH|q`F
zQda?|E729NCm3{mf@TD7*hh@kKmS)WHvJ$232LdTK_FG*QpK?iQynsGmya9djKyxM
zdb4qiamCzjz8F(>fwDClc?Z`qW`m#TxQ%hFez&hh;7{o=hXZ6t*!Sa`o3;C<y6lK>
zzM3>T_^0_XF)>5d_FEn0<}I;*(_%f-2(lKlTFY?pwp6RRlc(ZuGne&%#Z_r$>~BdF
zOMiXOiFO~Ziw5M3&Z;f;;zt#-t7e6wGHFQBo}9`-$Um%Om=zo)asFw4zR^%md@;O@
zNrKZAI40KnU-P&}_Lt;v=6}A>zaxAAZrqJE)$A#5Z(u!+=oi{0Kg$$TgSvtjdo0=~
zG)87eNUoJmJzbEMorq7sF_r23I2&~sG&gwTMx}W_0npNb0_MQpC7k9{z(9>d(RiFR
z*|mhoK8Ez@O)IM2VY_9k<Ji}mzyI*n^O+W_Q~KAV&?=k+QQF_<rWx#veMT5$x~paz
z&vQ}tYbfHic(|H(%Nc&K=R>;l$E(|_&EV79kuH2&D`WYxBYZ?_jE3cyU+5r}n^BO3
zbO3-q#3|qn#0=^YOq74|whJbhDgt%o=jN8zIcDFA*#zjqGu}BJcr<Ujl$k47$)cMy
z$8n4pmA#hQ7^_Fin=>c4>k~&wl`4Z&Kt&XW!rRWJ3m`^L^7>BkG&(oq0$@u^+_AJh
z=N&=e+Hn8}sz%6utO~100CKi*H3#K4D^1bW*A6)|5QcTUz^P#&5+O}De!17}?fulA
z6zPBif?+yDmM2{!Isbv!(~O!Clh3g@RFMq*42538`u=XxXN7}A;0Rk0Lei5a8!}Mx
zHrEf`NzdlmNr^XZ#T~Q~y~;uR!xpbNx{Pd?@J@CtsID>2oKFqAhU0G*>fLd>)*hqe
zK=Mx@%tQy6)Zc03jRtD=PL7TQPqwkPNjRq09~<IWqg5%KcN#)kRvZ9*5MNS|4+ZIm
z>@_o+Fe3~DMdBdNs=<=;#mtY?oq!s$#>EcLvXy6zeJ5Y2I~}}Bwa72N3(rKj=zc!m
z5^ct#l-ck-q@Bgoq<>0i&2D(CK9quRFO!O;HL8MO)FCP|P2CscYikEBWqZsjSsPyj
zq*ZvY)i0K|IDXk=7~NJI(!^yeG|QspHXVr&mKlfnB@%>rhVSI_<iR-ReB^=n-4)Dp
z8SXq5ZTe;W3{wQ~14@={s}Dz2Z{%&V_~e*IEH6Ewk5yFHoy9Y!i@(sC%x^A>B;mbi
zM(p|uJSYB)KO8L~;)?P>H8^!rUs(eSE6mHaYkP`U4o&i11tgF4)CebW>^ME|JXAI4
zY6VDpH*6Skf+cX!X~;y>`7|(g^zn4JK!d$|V`)fPtV~<L^OvP20$TdKVwM3a2XRJ4
zK<;N9C68YzlV;EYkUb-k4b30^MD#G`Vb{s#?$Z>H(=y0s*7=y&_*F2V6Xvau=zNo}
zp^ZPf5gYFMv!K#FDb9luwZQI;wZ<XOgNh@~T?Q+z2eIy;XB=%TXjJg<Yo_U@Y|#Rj
z8UGxzOgdG5JCwZRn{0qn{5i1k5C>cS_eSD90smMWHnH<T!5pS$Mr!Do`nbawSxR3K
zFbV&40bl4lXjY98RU5_5VFu4Y*MG=RJ@+uSyEJq>TwY=9SVI~KAaIH~<GOfgxhkhG
z32n~dkCoBAP?n)iMC2N04j;~{nGPYHm&;mHJR5NZLa4+QZ0PH|RuF0LdSL(t*>Kv!
zx>MCpg)tU(Xp8awUbaQZbdVFdr<~`g`i`LzC1>6rdf>>rARwt(J9`*uYo>Zj1iBEA
z19mRhu#e%jwWJz0iLXx%`O#4_GDM`cn6Y-MU+k73HE5W^1)l1(>*K!iG3?^o?IyJJ
zZr@idEA#ao1lD7K)t6ML80r`zRMQEiF1270Ci&*S;}Y*RsA(6QChkchAK7=4CRWr#
z0cSZoTBVjg*Zdk~mU_gE^>Z_%l&<6yu{vA<djW7*=#=T{bk7<&k`;70QJUk9v4fuK
zWhlT>d3p)^g>mLPlRX|#SH)-?$kHU5q@7ZV8@X)2Vr_YhqdECpp*>=Ielce4&rit8
z4ebtAIr-Ibe~Qx7ZAdGR`3L>hzCP`X`<5R0_=@+L@Unt>>D4XvQOs2Hpkd!7;VpMJ
zoFXfShZNkO=HE&tESSdF@rcykuk`NOS;ft3*SS%mAo#&7@;F}-xHcD8TwbMnL<<Nj
zRa_%0yef3>d>y=gsUjQ93G?jF)YtC2<hw$kUa;tKMCY$5bw8_gck`6L_{guC8N@TG
zZU=yP_{A)7X8ia2AeI_j8K}M~J1DvV&pc+w?PJ2zOUt-yp8u5fhOD=trI4a|FQiG>
z)luC}!We^A$Jr#1wX+N-g|`<oGdz<QM@Q|K|N78ZHj*~*GwAG|`!?TREw^*%crWnK
zuh`7DW!|+-ut%0jIMNT-+;NdbCq{caXo0=2x~ZE}hf?I>1xn?_6gibjRJX{9X&y_}
zpV=lHZJELt*3U@jmwV@eEM#0V;@8@m#10)A%=zWG4VT#Sx=da2?7Cvj#<(;bbrQcS
zAc41P!XR2&7o@%rd=_-ot`i}ItJp9!R!5JueuXv!^}WDrwKbL98waq-D1e5qIZ`=)
z>;)e*&Jzb}y?@EF&7gg#G`Samj)IwIH;J9CzAWllnL7s7=>!yr8|e><dHAUpw_v}H
z{LF9wGXI>wHxM*ERdqVZrp_t=9iRD~TN^|*6pSbBA3H~qLb;q2*4?v5E+En}@$ME<
z;+p-IxNv7ba<HMbX-l|=jq^-cn9=K1B0r1S{%k@j)-HF#ia-Ok2qhnwe1V9P#%^L^
z>^HXHcPm>{6<g5kHys&1{h@Aq-o`xy%IN-meXKmV)@D>8oyUhF70!GPUaV8RMweG8
zP=+wk37oBWUe3@t=OGO#ps!OEz5eDnU$?xWBT9;jM|?P2CNN{Q80GM{G?QMpA<z&6
zSsd@)O;YwtJu~Q*s)63(A$D!>l!f0ZelxG7ZGDR_iW|pjN^1@o(!>!)*~%o!=cP8~
z2&6kS?NSi2#KcE?U$(?KRoE|awQ|T)O7lnoCrOX%UN}ApaZ7PaB;X`o(X97^ZIV#4
z{>#WRRtm{`-FP;$A6*(BM~7(<+WAsCPBTtX8tS&tq&CI_dn1)UlTH<iSk)h(@ZAYj
zvVb3gt_r`v4N+i%L7%1jaxrAUHb{O=9$RJUfS@?Pw-bK2M8iLJHcRB|Rj>EN{_U|k
zC5%H9D0j41<XBzIRQ^Q6jgdkDIZZL#rp+S`li40bVEDG8xR0f*1uV$dPMt*K&uq|T
zg1)6rijb5sZB5|2UM%py)dc9VEpafw@CWe5uEtEociAdn>1<dM`i7LVF;3k1;m?&E
zw4$x}J~-4qIb@5JgX}|>Y*jg>J^<<hFm6ryh+mgFzhz;9YJUG3XR#r=f$MNPrVCM<
zf{IX2e~6~Ty;L%vW8xqwBO4<V%iL`@-mU5z%YqU2Ej?yVJ-bi}-pD3)dKK1~e)#Mg
zwXC*><4CTm=M8U%fyxUgkeU>iah*X~E7|L+<NC8SAP9l$5I4K>a|Yehf3?GR*a9BL
zoy2OYlhm6<KQxnR{=yocD#Q0>F~}F`MWc9gtN$xe@?!>z*upwS21NiTa^%tz=&k&g
z-x^0W!lnFa+p<<>+Xcsw(;c0gM=wYjT7)jF*1Pw!lJp?=jlS4O<edx{pw)DVKP+%^
z5pBzC&g6!+^HAilJl4_ZUZ||u67$yg%6>0q%PKv5MlX75GjVJRKz1o^P&@`;WZw!8
z`dBu(%2gEqov#!eSJVD0KvymyjgL1-$EQ1Dne+kBv@~vJj_Yx2DnL0l`K|&qr%Pq*
zCZUTkpB&*wp66^r^Rn;NDJ>G_TNo?(>Mxn(IMl$TZOgab`Uiv!6)~f^LY)N1u7Z^1
zK5LW=Kx7;6q=3QyEF1yyKNBwD09xVvA$AO580>aq9Gw0!XofS_(ug<<DF3IHUAU&X
z^E)reiHF=>O0^S+ZSX1o_uQeKH_XM+FOdCyCT<+vPZHhkeM4NEU(+6w9wzpIAxA9p
z(Ssc-U&R5~%5Hh9ez@^D6EwR~^?;CMb^~Qa$j1q6rD#upjCE8^iTM{MUa*gmds|=E
zRlFspmQSI!az6$IV*or)HY%0Yxaa-(-x%150t{lZ#I*ESjVkt`rnVQ;hJM$xv0K~H
ztmW3p*uo56FZ@fJgx5Ol#=+;<DUO8h)t}JMs*~L&2)3vSJK=kgT(nLUbEl?WRqa<b
z2`4-o`FjOvu5~Y|@;)*TF9W#tI?@kiFu$}kA{Vw!fF`_&wN$RWjuCu>x91xD)dCB3
z6p{)zY=f-%Z(fVj*V$>3uy7jlM1R#*UE{U)^0eqwf;_A%?3Nmf5|fnWT}o7w1vcL}
zfo^j-O$B;CO_OH#qdA#^e9`Yqfm^@N&W)Pu*)CdXgrhhZwqh!Uh6pdi>(jj8XNj!5
z(puEXzXfOpczJ4+xGVG|@iJCt<lSCUD$Y)PXOQzaMLMUPT>2h+k8LTF?qPQMF5%mI
zi9C>JL2Ez5x*;z+JSk`^=h_?GjZciIW7P4ZB4?f${8M?>crgXhB7557R2U)3Nme#o
z1_1v>ktf^nvzJtLq2Px7^fy~%@n_Nr-rJ?gD3h$!x5L4G;u-uRv};!J7P);c;eGoz
zkxWJZ>-%&yN9CVw7l#mYWM9JHuM9u;dy&x;X_<xh!Zq*#&*6&p?T=M#Inl~LeDVl(
z(~FBf09A^w1I+_G8!@PsR@3<}af#az*T*UYUm_d^l;WJ~?JcVn8mdKxtQUXZ(z9?Z
z&)q`R?qh<+_p$Mh)e_$N2I=OD3BO2!K*P=Y%3tTA8V-C3FQ^G!B6Hg$VJ3Pd>7k+%
zGOcF!RJ2IxuR5y2?@AadYq4)CJ5(RO)oZVprJIMpV&nmz2;IV0xhb2%q=`qF*FwFQ
z;))_G@5a__lpgu7S0Y<3ya?}7JMrA(-tZLW`Q<2{SutJ`Bj8L){-|w;?Vtp|ZM()4
z)UJg=3p?*sT1h=%9C{{@QZ7(jT@(~=NisGJj5fu=A|7<e?y2f2^pOZtk8eu#1}?Vb
zTsdjP*$9|jBaIoFesMRz@U!Q`(ya=6{r)|iU8{a6WspL#?K<74E>1zOfBlv$bi(bk
zeSAzPV4_`=Qpn2ab189<!PK$qqvb*(Dc=?~J2?^_20!AhQFFZN?5Q3Pllm`+CG63-
z5|)14MJR+fA-T!2z>3kdXru8sn}+B#aJ4QX-q0y+?)~di=pcA7!_d%yBrNIMY#Z_o
z?`}gUx+OUGsY?IFHs_&0%U*&PyfV{?+qW|TnteuCF30fjf`1uWtb8)=<pQIHe{X=l
zbOY*gKKRGyJTEl1!c3`58@e;8B_csg;WU&yZOP4%y;Cza#%`yqibXEC{mi7P5339S
z5V+Pr#a`;b^}iAB4L)-{s1kbW=wyCNaGmmeDBtsUp(z`sZEI?BF8AI<#CG7h=cf|X
zNhp;TUt#p(+)QdJ99;4fWN`QDU%dUdbiMYIlBLwH=QH_sIoG%7mXem57@}G;;ZD};
z>+dFn)^1J&dbr-|qcf!h>=4a%CSlNJtNs%vhR|mT9@--j+LSJ8N`2<SG0_nU9bBWA
zao%j2-J*OqbJimb|N2rwO8!2Q?~5w=1=++k!8s;V+``UTu)&CP_^xsxs=unyTV=G`
z?p?QP?t*#s`SM31<__}W;X9CK1Uvq;<^(Wc63HIf!zTq<-@u*e<%+TY?7xJAn?c#G
z-zxRm1QjEJP<b?;$E&xgTE(%l;@R*nnM|h{uC__YaSpek`%L}rW~wXHS1m$ti_RW7
zM&{YrN|~D;_9<JVrrkj_pd6x#w~z}<Szg{wpKYli$>3-}f;}ly%4p?B>^Vj;X-cUE
zE-b>2#cl*R)w6~CHU9}7z^}YduUpQ!$v<w5AC(0csPk6<*Em}5Sd*1wsZ?A1v(=CK
zuQf6jxyQ0vVV#sf6UeU7hfMoWO-ed-Ec1RLX!WDKrcv04_eVRHd*4bahm+pAaJ}ED
zNwgW`bGPd4b}nzFt!=eMnCk4~ac<7@cy#VTOPX$6IIyWU4}4O&`{(!-@G0~L5gKXX
z<wb&;-t<4bG?Dp=6f%p381<{{VvhEfbIWOw7QsWm07VRpUFo~+drMMY+f>XV98*uR
zb%oqho=2{%SMuUcdhCX<sb57!o>jz&`Dm!g3&dR*ED2B=YF6ta@4JKj4K|;8ij6|2
zgs0jZPA6>hY&3bCg_CKxY;>R$r<{$1=nb-fss9%M@<0v0EWu)+k&0Zy5-^o_IO$p|
zT#al;XEVxwc%i@AQ&(>8ks;b!81)?0DCgL7fWDZj^W9~LZ2fUnyA|w>6p%@4yc~|z
zJ&S~Zha-+_IVJ&BNeA3gHVbcF4@~Bzp{7~8h%pWnVER-M!0f;Q$>~li`&ZVqEKx#&
z!<qxBop@xk!g*yGyP9|QmDQvR<*xQ_GAmPAwT|+5i5c26ob;x&G22@q!I884HN0iD
zkept+kXh)GYA^||+%7p8IIB0BV4lTeiOTIc&1K7TdnEWpK2r4!Tb5VR7=$u>vK8Q(
zx6N`=jjUwb{iz>ppcEdR>g0Nrv~DAn3O{U$S?>ZlNRT^s+&HSYaDAdbHydzxrRo;!
zYTVvNmZYcgcB~m6Adg>qay!k#9-S#3--gN0(z0(-u0-E5;C@-BBzr&=3fcgimR@@1
zr^rwOwoiI)%VHL~u^bL574~-H)}^$xHxmF3MsjKQ=ptrKqiF6cJL_WYrOJPQ8L58a
z<GJru47gwhIp`{8X5I7PXRxgrBK?Q?EaN<2Q-Rt!q_>wR2lA^D#f01l`cfB}93gT^
zBad2kA9hzB!k~!@mMNcn)vFmc$^ks*(u-<R7CC_-Wl$tPm06A`?qmVS3DcU6@-SI|
z>FZ2@?ZM6m)~fxAw{mIV8@8b%=}2zl(;+Ox2K6+pE-}jhI)$oto>>EW?)1${2FAsx
z3*cB}bKaWp!vuy_`_0;vTC>D9jfb}sK?5QWKMcV2t5zVA*_gO1k)PowrE4m}u${@z
zV_Ej*A-T6I9;TkREq3c3<qPU6Uy*2M-MHMWKN_&s4<m`Cb<bg*Dr<WPUvXoV=n1Nq
z5dEHVpyYaHni*_Lv937IJ5n;4tr!juYNIWzjsY1gdoOCxw}sX`KLg%?Mng7Z0Gtuj
zinVDuRl<Xl#}#1NEU_^RH)pp>sT!MhJ5C6oW`(>48<XaZpsqkY>O0%0j?JTT^SQfI
ztghtqT1mFbpkQXRwQIzJ;T9Oljn67N3Z$+}c0@?-_YA71Z%}IDz+unH^PYaR>lSB_
zGN2z(Ow?}#6N1}|X9E;k`xCaTit!{=SrF~#nhOcpRaAl0wOso|Cesoyjfv<-TB~5J
z)09R1&^gI8)6g2!lgwepD6108!bSoyjQUYfS@$3SiYUbu=^25diaO8%kwN6paf(4e
z3r1+7fC4jIC&h0Oww<I$r&_je^#>5fqpmxe?p=Z*VsHg{e~0adjea6t>k<z#&rbgU
zM}s{#e-RV`+W0d-PY&o7wu-oQP+0n&^|_8|akm1B04Xy|M@j%GIHRo?;(!*A9MXy?
z0HdW8Pyjig(bAK>0320Yoi5h!=2%hBsTFRDX}Ic$lp{51E16e*7t=4TgcDiB@#i=y
zDe>q!eY(aH(jX)IxKYJvR5vp$5IeUDpqg${mW_%u;RkrD9&4^Dc#Gn0pJ$EG*)N*I
zusGtqITvby>0W2>y$-Lg>srflvdmI5{>U}yz3NQ`qJx7-d7uDMo_f)YQuP!7n4{8`
ziU24kiYNe}b)t;W2bz3yoJrxkYXSGJu2C>OGtGSc`(4>Co_reu3<PyteiiRO642^i
zIq<!J`IJb~u=e90%Dh+h)L$=A@VFhOsGq{bc}C;4LFrCL4BXQo8RVLI8($*4&m%i^
zEEHX*j8$g^0q3u+O}LRr;4t^B(=>6=iVzQ6ntR4GOu<v@ns=GEj8*l}h2|)c)P?4@
zU~e+qde%3Z5NEw<>C-F3Mr%cTTyfEka6$B_^UpOY%M;B<BqWN_GWl5(&O23k7+{=I
zN(f*ntaE`@ks{m96|i{~eicHj!>wklUpF1=QW!!-{xy|bBtb^#D#l4U-C4|`2*qpN
zpecenR#UD{Ybc7tBw*wW@l(YHRAaqB$VY0H-r=K>axyBK&}j6XDg=YWs<MnJ9S?du
z6C7hvoQG0SU@mzT=Ds`ls`k)YXu5T~e`rcDu6R*dI(C(>d_KCf@ie!OeH`pQ*%&`6
zsr33+OmT{a3Z!X8%J1HN7yJ`?d@(G;A40Y!v}v}Rr4O|?=h<IHey7q>N4)2PXo(3p
zYKuwKAk{SJFD>K}M=FK{Riy>aMR|9=qnsrPI7wNck|B;d(?zS}B-G=DI2_YskoTmU
zC5<Q|UV7F&yoUb(Q+ERkAItSMwR0-R5oh5*$u*s#TW&MVtMa>K6W+ZHKf6YyN9ew1
zkBj&5G-$1_ck<iuE`V3*QZ5^%1mm?NYFUoj^Uq?#!h(6}N^rEo%&b(58f#_S9jE~%
zRGmtd+&wWxrL1aj6aYH`R-=R!#StmDl$>N5eD2(-=r3m;Zf3PC3qvGeg~lm=vn64i
zQ_}U6<JPRjcFmO|uS(3=&I-^s%sN%1xK|$Zj6COMJw;WP-I205qQWdl`-ta?&ev^L
z?!rXCBNbtZDc1&=3e6iM43aTLwYbwfXIF{rOY8y0dJ3m)e(sw9DBbw3n_bg|wfvx|
z3QrlVqY9z<ag*s?DoWa*ac@-0hEFCS{$^O59Eyr-W?1~*p{qvcO<8Tp$OLoEQx{4t
z3@`H)JP}Ph>?W<a$RkEVTx5!dS3*x5dQ^!a+6d!3R8w29=e1JNkODjqK<BkcS7`v8
z4D_ZX+X{?kt;=k$7;t&d0-f);7Oj;?8SU#<4a8*#QW1q^MKi$M^r_@?D9Yd(X$-pV
z9rtc6?@_oiMgSyW^c9-2OXh9eg{^B?%rKTeIbr!#4{}*9V~PmhZcp8ADVt$+-`CR>
zLgmiZMeplL8<=8IyCl=NT(LFFaHcR-dR2G4EZD}}j9^kU+n){j(^eo`bs=1{X$Il}
z;2wsXb7WDQ=Hi-XXv(V8%O>zQe8#2SYAd3Hf^ml6Q5;Rz997$^Erb*t8jcq#rGK3d
zQF@X^D7K7+A2AhG<Y^R!9Q)OH?xc$NE8w6#4QXmumfl|VQIb1Va@Z5PC_xl&AlyRs
z2BN&hxgeewoYiD^x|q4hRXhq^Ru`JW<c#j}&Oa)qt)VMp&$S<owi<4!J+-x!#q4&?
zwt3-Pq-WgMrD&SXw!Ni8e{CRmCQww@k9;MvwvWMHBze_Lt#LP*yRTDSU%<<Te+GqR
zB?OJLKAEAUGtt0UP~+08Sj(HD<A4u(u&)%ERy@@}RS(PhRQiFa#b#FLnu(Pa4&GbZ
zsjSTMU>sJSof7V1<EW!z?{c#4U_XRYq={Gz_N!6ZJmHAKh4rd8Zp)QUgQ+z()EUEg
z%i_cy8`OrMX<>1x-KgBjZlvuV^$wHqb4=EJIjCyxuL{{5O>W~1t>{HZ<BuF@z6Mz*
z5G}^9IN2OXGVXg<pK1O9)U`hZYewc+^!-a(m`vf07BQX$YLd0dJB<V4ig>b1c;L}5
zVTNPG<w#t5*P`0mi*LD-ea(0sy|0Nr5Z>r-KCGIipF1os2Hb7!#eD+}%3P4@Hi9#X
zZ*2wCzioLGQIRfJ+|>!>d89HR{lNYs-jv4I5)+S*diSdf8qJ8$0CuQa6}Vboi+`W*
zW3^hmz57WUMiqxaRo>1t@3$SPh=B&?ZhHy})T`$`y~ma^BgJsq*T$<27sQikDWzTN
zQ$)FAZn+Cxz4XCR*_<b#uL^I5y5zd<xvW_0(ZJ4ks;@me8rCsPi`e!3SI3rGH-e+r
zF0H4xmf^NVW=HQGk3a=u{5<%jXX3q9YYV$MwCmW$;RVXzk?JeQY`k}=_=8vQa_V0=
zx718;{l;bJYrXM|gZ>wOhHcejc`e+?6Vr+s9nWnSutMQcGw)d%l+xVEAyf!E8gvlK
z>OkcB)yIf=K}ulbsI2x4%$HFr#~g=o6@J3)U~RpZy;He_;Iv~bD1y>Sb{7N;@&!9+
zE7_W|YSKvMqk&luLy9R@*9ro*7qt}bhh}}rMrfkD$qF+@MHB#Y?L{G_0)P^hiYNn|
z_=Bs*qWDKux{`5kvfawLIKjciao@9ktq!&D-pc6|2_2ivU~*Zr$u+6*yTdm=EASSj
zV`zq1SuzkDZo$bF55YUF5+4b{r)hDmq}HG;_SnNC_ssx$HfZ*vsG~io0PC74#V34X
zfEPa0oYK*n00kMPKT1xt08(O>iU26-MHnW43Ng(cD9&gA1DfQ%C+mOMUJ$>Sf2?%!
z(;laRU1vdFUGY+9)^+^{L5yw^OXtW3_eB77e+%?q>~9F!L_t{@1GarnHP>@d+Cm_=
zjR3$^0;J6V1Em<}G^2_r0SzuGGlNEX#Q+(lq|Ge=9q6Mz{82y!Asigio+%vQWY7ne
z&oI<JG@@|A*32KFEY;(Gwx|uM_-8-!+P!n(`hRQuQ1Mow)gh5>)cq8Hjd>^SqzCrD
zg~$CjsGq{b&m%?J0L4gS!Ocq?d46z66tge`9qY(%Qc)8OA4+KJ){r;N^9pfX@+c`X
zE!$k<tt6~6J!#T%bI{Z*aC6qFYD3U$iraYPRl7NiV+uK@#8jxyO1*4j3-c}s=xaqQ
zD=<ME@@M8+SGzonVy_7x`#2<g;;K$#en6^IT}?0MQ!luaO;s*<=A9`-J!xW)0mn6b
z+Gs_~FhCOw-FsBC+_I<&zlB$Z>&%sx9Ex<Z7CAf*YR&I<L%qWGRWX1D2^`j2;2tXE
zj2VKCO;%|0CIG2Qz`_N~WaAYi@eSah=8(k7;c<$aVOCt8Y98j1IbRlNV^p>CQ{=pd
z=8eZ()vpfxS+I}8vRLZyndT~Cdr&gW-8dfguYD7;NXVPEsW=tD=o%iQ;*E8$w2eL}
zXO2ycG`)yEl&Mvz3A$93{i3s0zTJIM^%zPNF_>R#jeN1g$x1WkQRTbVEx)rbB-(33
z***qYYqmN({{Y$%`4%!cYgioo=)Q)%ZXBrOXEo!03_L-t+xX8^&~?j?v`YvN8xENE
zuWU$(3Po^IvWF_^pl8Z&A3C$QziB5Onri8*>L67E(3-ASX{#48e7PM(R^O4$ZjYQ~
zvRftOCMW2_2NjoVDber##?D?g8B)iQTChLORJCglwkMdN2@{ny*@vpNqc`rq!S_7O
zT?Xxmq`mn5E2=Iy4sxT4eY9Y6RrGs-cL)a?*X3d8YW#5(C)&AcLDQ3jw>#+6jc6*7
z*_CEp@*iq)+wM%S<3VgpLFrF3h{451rn(9~QaL<!r%VH<UTPTb#E0e;A;X-n<w=Y!
zWAhKVtBic1mLrO%7~3$%8S72EVmQwf2FP%@Eh*d7)`*Mc%V3;VZKEQ(lh9U_w=sya
z4>Z^#7VC0MK<S!@Zi%-O#aX(EkI&fjs%)oe8O=3jOVF>ZX_nf>xg0Fm;j74X?KbyH
zzL8nT0P%|USkrG>qp4_cYKm55A71sWCCJ3x(dHU-(q3AWb~}f!daWg+#hs&&Yq);}
z806h;AU?*b>e?js7VRTPy91n6IeXd`tkK1kWhJ*^dxJt=jp0cwJxx#LCD!LH)2h^P
z+pMQ5xln7O>8(h!=w7hXlJWD<4z+&n#yezCNdvK{^t*(#mkk-mb6VFe1@vBG9uu*w
zx|$@6NgzTA10?q~6h)UO0D)6oTpzm_3riHHJ{d9y>sk^~^Mc4mGrRPu+VH}-+<Ek-
zT(n!kQG-<HVqYZjMea_+?rsO)1m=<{_rtjHj`dm2^*QN9yo&MdQ_%BIQVXd2hw`Vf
zWk3O_GEs-6NxMAfibDY`jQfuwhQE&1MKYhloa}tPpmUBYnA5({<Id+N@~ezf+?L-%
zQ~OZfr|!lFV@PITKsdqbX%sEATVnxn#Z-BiHzSINZiU~tNVt%b^LiR=j3fa_%8H$U
zDW18i(gLIroK+@6CyhWE;~tb;4bdEOr-CXan;hb$P*@&u=~C6ox;&Fr_(OF1mEqF$
zx%BHB*WYn$st6?Y!R=nP;J*sm_-90d(%kNjCC4X|L)%3f`K>aj{{U#>nFhCIZ9dk!
zjC~{&U9s$0nUWb?ZOc_;+~=mzOq*4-xS5~rQ2zkm!B3A+vjk@94F3SvK~Cb_v2Xjf
zIKe*kZaK;kllfLi)U82d_NagF;HgfnYO#j<OeFUG;Hi4*G;6KvhC5E&^)*uY8=?@*
zd)6eH{Cm{|@a`x6dJ51@M$R-cJ=9sp{PY!0FR1Tx%6w1o7g6yCirZh0#4Tws7>+X#
zaGy-p&7Z?7>AXL8rs~?vx9uYbj&)Ft86KFf_-b}?ChxUHgX<uu8&<SMAY8&bXUr7T
zrPNkD_QT;d^~R%Tajfd{>X2F=+`>>O80b%}daaeJpbFdp=~Qg*?Z`N~g#Q5BK~i1n
zki@wcFp@h71vcD-tc^M31Z;?Wzsjjh?P}YJ#yZsq{7qvM5N;#g-wY|Yej&5Cjg=*h
zvO1R()EgU;v8Qb*)L51{LDL=UUe`(&O}BPOrg~N;k*HcSMzK#0>~c4c@vSGkf+Rob
z(5_BSBow4nb{Vc{aLF4-9!SShYsMz{PpCGleEMd)ai`ndx9_1VyFX0yuUVhO_NaD!
zq81=^^94r@-IS0S&Ey-2=p+>4`B0j>I9soSdSiH63k!MVx4X5FO%>4Pgq?R9x8RS4
zZKdmSYnsNTCatKtd1)i4P>bjVb;)-X$;5IafO*)!*EwzD`+Khy-{_%yvuJ`wk&hTO
z+ji8I<aU6)l%=|>cBf0IDFAe1>N-~iqx?~~@dt_J(`+DnyL)f-w|~G7pf%`;cctB0
zjq^mZw?*7DP-wi2`<a$7p+<Lg`qi6DkW*(sYJ`mmxO7?LlN}T=CZ32v7$1#05qlOH
zE|rKvyL(Yki>XH&D6I_7yy&B)71&sWVvnsUIiu^%02ERlDMbJn;({|tk_9aQHIy=u
zjOM%t#`n74!mk|PYqmNuztb;5`Hd04j|Y-#=ngYn_m4E@)jT7rTOtV_NJv#9sh|tK
z8P_B69*JqFL<*$n9|yH+b6#`sJ6ZnH@MIS45r%6<FuD<p5Npx8Pyi@AQfJbXjP#%b
zJXezZY54tN@P_wBwz#%?xi97j%O6;iJh}F-Rk@Tw1G5|j8796d@i&5eb@A`wXNz@h
z5^XjuBF+<~LNz#@v&LDI1ap!`Xanfq8hmTB@SxDxK-UrKjkY#Z(}I7cN$~6Arh((Q
z9DS-QOQoHm5J=;3BEDO-)iq5^LGYG?twvi~(C=E-;G&!os>37Nxs59S0KvBY6x1wi
zVv&4w+Nm%qh7)Ha1bb2g?`>Phng)e;6}9%KZ*4q>3X(Vk)LP%fFAw;BJ@>k$yd<vm
z4Is%C`Q_u7HPPbTem@rLI$oP{@W=LHs=*`5M#281sT}7$E7N`(cm+I9<0}h)5c!(o
zL!$zZJZ!4R9d@^Wtrr97{{RI1bnw58wEO$ZTlk}b&QlbQ?f}THufx7G(Y#c$9V<|R
z_h${|I5@9@p_{{=3Gk1IG{`i#KGxc)Sr%4gjwR0qO{9Fa*nY`+gCCAs^blNFNoOUR
zuo_Hmmc_C<WROq2Fh1U(4{BO7Kn-JsHRfI&{{V`I;(o1oet7IvV2u0qHQe~4R$UiD
zyu5GuWf@>S@m#0Dy()M-I{Jmu;^O{Roq_5BJPH8x8Yw!82NVFf_oEr4?}}1!-!uSG
zj%hm3I6Wu<aheFt0*?OF0E3EJD4+oSYObd@+4TE~bB`?<zads@1IO1bY2gi8Rc(wd
zpP#~jIM0E0j`~)ksJJ`tFC}tMak~TgSB?JK+5Xk=#y{u1d;b8zsMbG+`dcb8?@h;d
zQb{%QzwN^*k5urtIL!4E_*gT{<2fox?L_1*7#!6oZU9k}&N|eIA&~o5mCLDx$yxEv
zGfeaHang|Gcs(fy4NF1Yk0d^5SOHQA=9`_SrA8Eb1^bZ%U~mTlv?7d%zG2N)0lJQ)
z)z^^65Zp3q_XIE!+-IdWMguEAZP_Q~7^>{pa(Of*aq|&NAkRG1u}FXbG4EC6eh34T
zO@sm0)~ebQb4f6~ra9|S$idivdQurs3<HdJs>Wg*ws<rqJCYVTI6R7vEEo|{`M|eb
zrlgI*Clr{LrMTtXLlK&EjlG5jIjEvw2HfW~5<_#E%-tI{mWN;`1h*Khe+9&RKjR&9
zN+2hiziEs4*F~dTs(EavWh!%nQ268FuCe1STF+P0bp_DpSoS+AWR<Kvtx7ei)~2rF
z{{RlBy@G}t6^F#-__~S^tp={{(vsFMOTEm!UsQ`u_?MyTaI)g<3=)j@_pf}je=$_`
z$jyBF;ctbSPlvTHwCk5zhN-AP`;*Le^7HBduV~V|Nd)qxxQa*)K2YjLYrd{qiHz!1
zRP7e|mZ|CTJX}V7mDZt!!PCTZ)TJItK35yG^wI0(t&WA40E5V?5~8E~dR4=5o=DHF
zRGrpCyY#O$Ek?vbJ5-UOV~lmCz?tOLxZDNcb4{@%P`uFYG~xEkbB)}U9U86KT?@-~
zaCVY89)`D4beBwIkbp<s^{z5PEH$Ewl}S0qc+Gkcm)2>xPvVNYeqE0uq<*DZH7WcO
zc5BV-*XmxoQmvYYmaCG-zC8NXFStlNR|03M#6lLNNm@3@q!EEedFeolF-l3_jQY|}
zHz_}r5Dbz!W~WdZA_&bQ(Mfn2>}td*yRRanL$%pJ$n>V8v}|_{JprH#H$*I9PAfYk
zlZuhm<zhkFJq;jTgXR>`FIGh%Bbrow!<tfZcv^bE3g_<AB!J)_N^8cmA&x*9PXrpD
z%2_xK`O=$hy&EUcQF4zn@jr%T({7$yR4o(oK<!x?L0>myid6R%>+(mGA=EZ|5m?t=
z6tlaNcuys|<v6XB*DaVQslsY;3x0A(xTq~|-)I|vUjFsbYMv3hGZAd-G=7eG70ur1
zH#%-b#7+S8996>4LAesk9%LSekZB}#jYubohCM{OgxRzX=dD3=s6?z0+Xl5s>_;%J
zr;>Wrc@FONVmog*WHDv>)N<QxJ$dw{plf2g9jbeZWFbQC18MfFW)fo|xT?yH99bF0
zds9r7tV=ARP&Xu0mU*}wjyqHZJmG_%rD)qkZO{>qtv1p?mDxOS01G!Q+M`&?v18Bl
zq&EzNo)6NRWDJ>BAfBSL)s(D;%-GF92qckDWO)?u8y&?65eFiKEy&ERk=mq2QaR>_
zPcxMTzokKkN2=UbCO{rtqk&S#4qrX08+QpPE$doV(D}DpBf;IyO-s3HA31*8THc}I
zj{(}xr`|oQGyUk>2EGNK;)jYEiT>KUC;qw`{VV;VehkU+e@Kr@`+wNhC(hzBE9dzC
z0N|dnGJ<?cx$Zo(U3BLa8!<EG75Jy(rRl9*5Bq3of8lC)t2zGKyU+b}HT86#@K1;k
z@!~;`Uo6m{@J~qGWO$E1NX=>OAP35S@U?tb{{TU&ulx9DKNWmdMnAUh@&5o_4Siq#
z01oj*&za&dhu$+tKj5BFk(Kc%_x;hO?H~ur1LBv8GoS6Ny!!cul>AunSQ!4>yCeR(
z8v4Nh0Kq(>z}w<gKEJy(hyDrH7-V>naqk(Y?IGL`l!wKi6|f8aw{}16p|5TIll6UD
z$KMejPu4XXtE*vd&#=gP<X3<H01oRaH-ExNgX<Bl^WiV-i>Z7k*Be;VJVS3S&chxi
zgpq^)0P3lf;M1@k$8YezONrG<oN@mEJq<GV;m(mOJW=`V;C1s)6q9MbH6Z6%(^<!5
zw{P*R#PI(Bjuv;2>l%8N?9ey())Bhg8|Ylqei7+1A(lz5F`j}-(Ek91U!XYHuRi|(
z`s-P(qImAc0p#ksbA~+T2LAvWiVqL?<>e0g#+a|1;9Ix&)wbTZ5=k1T;Z~6e1tqzR
z`iTubABNgH9LX)o1OA$tsV0Tvx9hEG*!BB6e~mI94fx;_yIa#h&;0Oj@vN`imwv{F
z{3?A8QNQ=&Ju@Mo{4CJzkdkM|{dF}?<4N(*9BW!;Jw>}?`PEr;j~m=!B-ZraI|v*6
zX<6TKlzb;|9*^-7_R88x9@xMLM{Iy=%sh9Y_@iF<rQ$mu4!XpxY^^ke^MU*$>t4Cx
zUkU0uXNYcfElTza$(;fPw~VL*@vehG@NK<^itqK|B!X+j2+=n{1zyhN-=XK94>fH*
zFNWHUovdQdSF?@M;y>fw2U_#1jXHa8gpl}*>i2)!9(Gmy&H&wvV!hi`_(frL;){)9
z(&B4LE~E19A&VOy+>ctNt9%;M<?v#7cwEY0R^8?dZtI$NNHsk6TPb`i<39)7TVLF{
z)K?ciW8^;>>0d@9@H}b*6M@ZfxBmbQZ1t(MYo?jRx>)_%E<SEC&2^Aj3wXdLrMrzH
zLZp&G7@~s+&ksdsaoGF5j?__}E7Tw;qKsmI4ELiQ=?*DJPG|uMrJ{l`Ge8DOs#?Xs
zw$m<UCum66l75wTs%qMDYT9kZo06$A6eN4l2b=s0zlTuMbqj^Y`EHz((>(UCQ}16g
z-FQxagx)vNZ8WV`=Hg44v-W8YBiK(h^t3Ko6(_Dapa=J(jM2|}S^!2xbt=Ok^#-fi
zX|~#WvfDzCh9!tWjGtPwMF3{EhqTi>P4*~!);o*r8PBa%PXy>`dbf$DTP@0*i3DRm
zoo-P;7`m^6bX{)ZDX+Bad#PjPT1denuEV3*K`@#-XwpEtcLf0B(yo3KqJS}G@P3VQ
zW-@8E?q@%|CNcAUYE3V~x=xEIlE%UtX9H+x&;yFrqJRU<6oczS90F(q&b~5UnRL5N
zDkJ;r>x7SJ{_c6M=SH$!J508>L4}P1<M6LFy>a4?i<Ynhm~_a@j5}^T3iV|hKokJI
zMI9+QrJw_?6ca@N6rB&X1Dam60A`cEDQKVqicIrMKmo2F<1N$L{65uLF}aabpLPPf
zjN-iC<Ft+c00?Trr~PfrNLRTVx_*=a(|kX)7CsWv;R69}(~rWwUj4b3cBkQPGyD4b
z*F%Uwq}m`D0woyyE9D>CZF8#lT>4K_FNKNhc;%{vQIXA9@`C-+MIi$KjyR_;W190X
za{)K@JRe$_A|^6@DkmW0)}#)~qtcT=F+pxIRw95E_w=ZPjlT7A-eiqNPd=3{<64O6
z<?a6UM<8}2lhUR?zHP^fW8qkV&1ejWyW<BW8i}E089gfeXr*#_q@935F-JE<NtQ>=
zl4+oTq#l&#7(DvaU>u)HWmrx580$`*fQ$e+q)-FXr8~tiB8@!O8LLSFRV02?>sT@M
ztMLPzZ345DjUyY8*w_|Uk@y0(^lc{BR-4L@m1ENtmgyoX>$bLhF)O9~Mikz_@+%j2
zv9d`k9d3!>ds_)r$!9t5U3~W8ZH5O<n5gaCyg-!XkIJTwYz?j}2YcMEh7PA4u(fu$
zKvWF#S)LiRY3Dag2#I)zA4=ZU^z^+)jks48&&Lj_qb?$4o)zf0=N0r=DvG8WbfYw;
z_P*Bg^FBK=rs-oT*PS;ian<szZ_@p2yt<vle>^}{Y3<lxfyF_f>e1>k0DehF-b2(@
zox_CySBF-V=uN_E%^y)hy*y1dQj@x6C|C{+T2e8^Q<I0|ziN8OSG{AY(Q`n|SpYq&
zCtkE<@@|y<!ZY-%(OhQ=Xx6P><4utxY-Dh2s|!D8S}pC@(Bj8a_SkvFEq7k4R840S
zUBDS}jCH7GvDoK#N>2)E8M5-^BYJ$MwI%-mNPGd-v#k$hR#5ECaMcxhFsa=b!Uf6X
z<JOtvHcu6;HMiOLBdtEpILw$~kZU8N#xNuwdYV6+FwPD$S2e9P+R7OQ5xK1LN*s(H
zDS-ImAZ{2YqheT|DbY!ck6Ka=F~W*h04<&|f;-d_<nVbE^4yWTiin-ZkItG9<WYg>
zDpcD19%>Q*7zdhFZNKA8k<unQaZ3sll1|!d&I#g^&MnrETy4PhIjYPL80l6{2>$>Y
zX;6Al7a0^;Z1kkPvq_MnqR6L?MNFS5r?DhswKVJ_kJY>nZ6t3jAG(vS2TJq3PShmi
z5I3R4du`eSZ6O@|ro3}fvJ&6Q#fbTj71c^w>dBJ2A+x=dMYR(wc&!zIngGs#w|rH5
zHHzP<z!h>$K~@%6@y%44Z$w;fmaNQ{J?=(MMLGz4xJV~Cr!GJ&!;?;h30|BUMObWh
z`#x+8)RMC@fCpNYaB?%vFER1?WK`>M*r3rm@s24WQp`c=R@eq_nX^@!_ix7>)sWSP
zu0~V>Dx)SPBXP<0=~~P4jD_n=lHG)Rum`ym)UCNKT(1qJk?mn7J*k&Y1G1ppamlG3
zR~Q6m9+Z)w1fHbQPg|94g><_}lte(^>sM{A@WDci{{VZvP?phBV))6a;c$<<_N#V#
z5U#f*o;f6wInH}htO~rh2BwNZFx)r>q?cyi22Xm<{R^?2$ai$e_o?ByFsa4{Y3#y2
zM?>1GOPM6+fkIav#gL+A+*>U{8%Z4xYOm$Ie1pYJZstx%C5L(%U_S&LfC2SA>O&(S
z4Yzl%wKsou#!sz3?OsUQ$(+!<z-`6(WX{}y>)N7O8OBK9`cU^tAt|#Y_Nk(cN~t4n
zx20XQ*qv@MP_f`*m?Kjz;xg52#4++7y{b5;4D5nGnR=5#DT?S_R~%sGq=qDR%M388
z^Id(NkTU$Nc_OSn7-e|JG@8&vvmjXc`?Wwf5Au+`z3S3S=43ZY8KXty<kCvRE6l-d
zvyHhN3Z(^;>?H{--B{L!KGMf<`8x`^0<FIxhSS=v_6uCgiqp$r0QsA#^)+DHNZ83K
z^sC>xLK{1eTvP&iF7DeZ5;YuBZM{cih@`j{-~sa!z^9O<IXs#sw~41xPs}N0NccT)
zb4V^Bh{l_SdU9$6^IeGtEBvba+{fj01a!q`&GRV;`!h`qmQ@DPmgb7gFirmeKNMAR
zuH<t*$KU-pqny&v2YU1b6j4CwKm`<WLFcsq1k!c-QPzxLb)W^Hj0z~t0C1laejcZd
zG~|*Qn$uCXJK(sCe9CJ#;9j|?>Yg6Cx7DtV&F!S^6Big@0plXQE=&|P^R!+%w)kc7
zQ(a5zYl9W^(X4)2{DUk8;(r<d`Y)lPqPMtPn37cGSwSB|QfHa~IUe*HQZw|X_u_yZ
ziYOxnl()42B^m8TX*<vY(b9?y03S-Lsa=aJ8K)-!6tOjEb6j7=U0?ev!q*BL4?ZGX
zd+|URe+P8gE~eGB`+=Enr#lJkpz&UwMPc|SOBz3htgW$vv5ft3Te%bfhov8mXd^TZ
zC;<A>^q`M=C;-642Z~NJ??61z0)t0GK;Td~paOwGG@U2`Ys`Kykv-Rj?TN^fP(oMN
z3f1Yrab98Z9U5;P_)Z`<0W-N@!>{W=9+hl1z>DZB<d55Qk*WA#5Bcw3T_D1aE976>
zbmLO+#~<?EqJIk$*zy(506g(hGvIT^DX2E6KGfFvx>uNCaYJ*S^(Nu7p0ybHSX14<
zi=_e@K5^HjIub$2rVdHRr6Lk?2&-ER*@E1>dx^lHTdIN&HAX9`B9CZ18odOn@r}=e
z=}^-_dyQ<Uz`&~Ptlf=U^2D-ds1-ZJs)r|<o@)&z%qxW>sLetF=~~iTZ^_3MpE+2;
z_U&3HaC#AK+`v@vpxe_pHC%kmq;#tRvIwDqCPTRK$E96?NL}nR^r{H^N6c#NoTrSQ
zD=8zQ2E1i2AP5J}c<EhFgnThJl_{QP8DYZL7ahhfRH^UKSEy){G}?4U!3+meQ1296
zoy}#Gk7|vWvlE_agYSFN1|v0*1g-nQjPp$i^7N!u#xYKlCy`8+b2qcer}&E0!ZGHZ
ztOa(3gTlG{)yU0>{7r1X+!;BpxTfRs^siqqccnu6^8T*J&*cfK*sDKxpGERl{79N5
z86&N5UM~2dY2oI0Euxb8<Qx@=NeX?>YVWo-3w9p0!F)oyvC;Hfh~c$UcX)iY+Pso#
zGPuyGh>R;i%KIzZ@A5rdY^qbF<xW=oe&V->{86i0>lSkBEfQH@ukJz|>^_9orM#u1
zD4c^{6=C6BWJji3>RO~i(iRe|c>U&j<E?u(g?cY-mPpmYuOB$UuKePS6)4o9Z$4eO
z)8}o@Y`&#QCmOf;@8(BmZu%q1EyEu!M&kpeb+E>lHpua?<Y$Vdab~)WlSW%P9E!;B
z<;?an+*&(tSepRnwRuvCuS!*0_m=*J!cPfa7<9eKZRGc{xpOf;BaD&8X|~^dVu@h;
zK;Ie3^r+)jg@*7&dB?DHcfvU|)sjFMD6T4W*(oFVxdOVIonF@4OJocg$i~xLqKDkh
zdCy9uOqjyt9+c%)G35R=6s3^uQP!3lrjK{ak&g9N>`lh9wmR`ZU%*i#XCF7rdeF_Z
za&t+DI`pSwk4lX){Wzs;mjks31vck79Ex3_0Z&t~b)mjt$4VFt+nPdnqy(p0a;amS
z(h#b=b4m^lI@G&1jGB)<Nu~rkk=dup%fSk3$L@c9aPPah&3hz^y4}=`!G}uneRk39
zuO%KyMci@66|@FrHV#zusbGpbXxZ3&r?}>;KkrKc*BsQ5yDh%V;YDn;+zU{u&xgs|
z>P21_=+>oF<n|)6A-H(ZsW@7FzN%sQ7;sK0+WQuowxyWXOt#_%J*gy_n*p)MN|H;(
zU^qGUsiL<@cDt@eUTGloE5~MJAhr}9^vj45Snc`tam8tB6We{8%a4+KipOB$GlPuM
z*@=_e&E-fp@;xc~hNK-zguwQ!<acsL>@casPUDgdOG^5STWB&F!!XD^)UE(IUcR2R
z$yCLF6n$zxF@mvvJuyu#!Q@QQiBOLHs=m#NLmX#{k_Tx4J5R8vWLcI>l=*7Xu`ID|
z`?d?(t_a5M*vK`S#e#+kb6231q>BV|Qu~4{OvPp(41q|p29N{NogxtV$JUY{3lP99
zGRa$MKPb&QHrlx0VDp-RiH-LwP=%x<la6YvA<`c;xZu-KWO*=h0Pj=Afkxrdl#&kv
ztw<28KuMndwV+`FE&0zKD!4@{lfe~g(m(+R<^$G%DcZ^BOh6@Yaf*EKc@k%#CZw7{
z48(;PJ@HXU{$n7?IX{(Cci0e<s>lE%IOd!sA`&rxdKyc}nNeCXys7AFwak*ZRYQT_
z+L}P!iy;OwTOQQSp_mppUfHFLExaK8_V+bi`@3b&r==DPm)Vvv$@yue8dM~3qor3y
zC+Fv$$F)xrgULAdq?LnmEv^)i_p#EACCsrqHbVo0nwD8Z^c)I>Bmqerdr`Wu>{xOP
zp2C)3Jdw8<C!E!2SRrOPB=b~LRQp};k+7;~tqC`=H(gB-5uBhIZuJzwB5;mzo`S9;
zq$teaczRV>t;O{IX;ZtfYH4+2enJaI#T9)Sf`CBCqLs#d(b|d)1Ke?5kph}dF~uPr
z>1Y6>wH@dfGys{SJksD&9z_5zN)81SPyxUd=bst;H4drZy-wmdP+db8oU&~jvcE9r
z@UKJQiplX-j5YlN`%f-o7Z9|2hir^c26w}4ZG1)GohJQ%<*W;zsNnwqD(U)Hmiz|4
zlHbGkejlH2ougbeu0a`f>JC2|^)8eEnawQ*iU25}=93)tparDPdeYH~07Jzuy&>bR
zEdUwfyr<#`e-QZVL(x;`g&0pL_6EI9R}sd{P5>3=9s)z+4;<@SvwX=D`4JzdS^)I;
zlgo)zb{MCMPpF`MF+dANCMi!80GU5pS}6qpFM2r5C)SU805d?P$n8l$3&&bI&^l2-
z0qI^{;umTDGU!ofawW8_k3*HOP;a_x%WVj|_|J0L-Q-z;^vVAK>re-&0be5i+k^fl
z9vS}tuJ!fMKaG5i`)!QsJ{ida_w^I_SefIECSw`uDWXgoLO26Csi1(k;AXt`>|&MO
zh|6vi{N+G3ENOzkflu<(^Nwj~Hku;|h0Q%zE7Jy*hD|gU+%eLo{e@;D;YbFi3`kya
zO>`N_2At8JIO4562sCWxh(z9FV-)s~PH+zulOQYgs}}A;bs4Oh>ROR*dCV$f<LYZS
z$ybw;*R4%(ts>_=Dw!B@l4|3yo4ID@IHSOira7nw2ac4oo`f9JQSvcMQuHL)TC{AH
zO6_hcj3YeeuE2IUCZa}=C%1&H;wTx(uUylVMQ0k3kCbq0$>N4jv<VOr-FUB2(`9Ki
z=$b%7<DAq<-6Gj^kxgTcYAy95e8UE_BI2n6qz*CdQ3c7S&f*(+9G|)kQjar96FDeF
z$@DQS<9ojpJEt+mxF)+ra~vT^$Gv&Sf;FQiw|I;}+(`z#9fz8VbH#g^-5KGr5u-n|
z6>qrtjvB<$#$jiPr2Z+&{{Vf5NL8UKqmNqVJVT&=YFd*RL2#U-xX#n-T{s(t&_zQv
zu|;9n`d5ceqop-C?vJXRRN~^#AJg>fi1leDf*00rEzi#^%t9gb1EqRDg?v>Ww`{}7
z5K9@`BxA9zOI9=ZF8X_uaDz{siD>Y5lkHrbTF$KoqX*dSUrW<2CCQpkyx)a=wOSwA
zborxXtgP>ERc`)CA2&{;!OL6uugTx_Z1?CUFt*{yHG@2_W3RN*l9tneH+BZL^f-j}
zah7fEv}L_%+P<2TK+4OyGuFOJg-FtyjP*}Odl;$`uL#PUw4(04eEf-2y}Iv>w<+eN
zS(@*+&5o6i;fdrC%WE)i-JB_I;<oJ2MRHH@)>WzdDY&O|d^K-xN;Mj@d#^H#)^W&k
z;FD20c`LN82V+)s0PQ~HAtUQqmp3yyJ24m?D<rON-H0CG2~SQbku%Q3u=!76S1h6z
z5$<(RYHM`{eTbuPb5*fBmArsZ<YN^Js^f!NbI6gGk8V$6P{(VKH!eNuE;6Ekpi(Kp
z$*JamZ7etftDy`}e0HU%hlI%;#Vase4B+}yi6B+R02LI0T<$d2n0f{Q#%b}6=ZcM3
zF~B*eOpK^D=8m9Bva4ljHi1yV5ge1vN?ScCupSg`IIR6cOt;h`be1sQ^?h3>9Vq|-
zj%fkoy1k@&ef-hJ3aC6*c_r6q;P<Y(;uWexdlZVK2jGx6u3wGa2*-a~>RPLg<P8$B
z!OllYREh$@-AQHbR+>D<2pIRMB8zgd>`hvgfut;#VZLxMJ*wOqfd~|iqN>}(W0wRC
zy@q<#za>EF%_m{2kx3{6Xc(vq7aY{A0e+n+UMvDdN&>qsR1v}UsqM`$eBC(3M&aDy
zPTF?3uVUP*zXWv@#gA_-hN$C0iWOUP9=WL-aEy!{)P{*8Dy#-Enn&F3Q#{jRP!tkL
zYPAdmjOQkX>;-9}+JFom{L^41NF-oY(-!fAjQZ3cW_4D_Pg+UeKx?TS+4+L=nxfYV
zFfw;{sflHL0%{`>cE}%ztz%>wu~g)YbUkY17U<3xw;1VBEu(D&a($}P4=u(AIHzzM
zArTA!aY&be)G173xu-Li<GwpoZEnPjezgN0V$55&WD`>)@y8mfE?c>(uQ5~+j-IsW
z071t=PoSRTFD50x8Rw=uQ`S)m29u2bw5q^K%I7s5{9@uoEy9k}*I{fmwI`hnaYu&-
zzokzcLNyzQJ?Zvq9DgwY8Vu_476**ur8fHwd6GkHv$hz32d!ASOM7_805fBXt8k=+
z5f7QVpGvz0l9(5FE!@=fxkf6;LlQ>^x1|!~F780~smyBANUA}>#}tn$M;j>wu%<#Q
z`RZ41e$>@%r4i0gwNQ=;KHuhUBp!mVl6QiCN~WwOsd5rBK^f0_rTv^{)fJ;`0n`e#
zvgI%a4OOz1NN16p_v199eMb5c$)`w{frO_As@BE5uvFe!saf7{xjXOy?rTEjqg!_J
z&nMD`+uWp<<u{Tb<QZ{AXA2o0=59&%qNd_L>d|~dr}%=^E-Wsixrv5DBLiAF;=Tv)
z?y;+QKI83r9-}3p9GFWIhw!g%@JH=S5O^&7Pi$>uZ<p;zGKBh{O7D$DB2S{bQCZqI
zh;;7|TBXH>+*dI$$T6@rqgnuWqKZ26Kn8I|6cIoPoYR59q{Syn09p?t9jF}iqJTU<
zU5-Bqe09=}n(Z5E(7C&V_#0^$Z?84&>T;mhlzey7zQd>3c#hQozSE~tB*#Q2<{wJ$
zJR#y+PZMbn+}m8oaq^AkGtlFj0NgxMccr7X02Cfg9XX`y(9i;bnoem&9Vh_@y(u(O
z9+Uxz<4s9)uMOYaGi@so!S_5?C&Eo9`#ZvrO2hZJ1j^+1B<8YyGG0l02A82jpECa7
z2ggv0$^Mn-Iz^J{+HJkM3<%IK<R}8=A?J!IM>GI-q$4y6U*|vvYA7K7G*AIZXd^VZ
z=70(_jL}5^8O;=8k+LWNJPPuU07WI=#Sax-77U0|F_FmYUZ-;>mkYO`&3UK76ZWlF
z#FxX7E#UzDC<D{Lz^{@&ZI$1tcx8QOudX{+$v?KJKiZxcD~$Q|6ZlvjLk)_MxoW!B
ziyUAXf`k3hRpW+904@4aw++GR>t0jWsY^|e*=@o$5>3PDP7CtmBQ&6b#{(vkSn?IV
z=@m=NmOWr2B%GRJp%2!YBy3}M=Rj?(l5<JuP4BUIM6Lj00QJQ(<rX8hHpulNpBW{0
z5yeStVwT}V<7|D+LVX2di$S?^U+~33V{kxIS~q4hDG_pmp{m?&&MJ(VGQ#2>wVv_G
zy@o|-T;G!tB7g|}YP5M`bICPPMw$>9n6D&enz1=N5msePa(Jgg0*v4hR86kOMGF-i
zR<4t!oB7r=AdL3SQn!7_1B#h0UfSgu4=QUXxvEE`=w2ThTx2;}T=Y2UTI~w~fq*?K
zmxuKcsMw>Qy^I>va0v7@gSlQsPbjZ`Y3LfCjnyP;j-rr;Dw1j|yK>Pwo>Y!SSVE^b
zrro~FX;^g%NT!>Mx(5|C%iQ36F{C2+o_9$$1SjS7uT6(&g@%4^)$<OId*c595O}Ws
zT{}@raI&%}Bi_9`;NOV#y<PR2U20)G_EULbfW~;QV>idk9afcDCubCsep{T`CkuaK
z;c-;sRuYvt-cgHpT+dC{pF`4GMpKY#Ww_ihO-4%O9=WC!&PPh|&a*$nRxN#}%j6_-
zT&T=mV&nr}Q!MvQsl=WjypCI#PU!5d*J_j7CcT*uhUC|p{6X-&)EAF?r^2&6!NV5*
z4|@7+n!FVKjY})+`mdYV@v|Co<@S))-9O-UJAViGtu-v$yavvA$1yR_9<|#<P$5P;
zmB(87&qnbN{36%t(lolA<6&iZhE_3N;iPJds941+oQF_GYnwH}eOj+H7rOR;@cRAd
zMh6q^q029c63ZJ}PDtsVwPkMbySnF&DpL@-wQbxGI@c>T#ny<@K0`uJ8|%!WL)*So
z{qCM-n5<9LBkd(0cdP7eUET&!8xxGsVo9yogN3J9PYw0FZ7#%-hIZzy&8H{Xo6A3q
zVK_Q+ahF4;ok-P!oOWh)tZHOZtN<KT!Z|FAjyW&Ds!pcYji;YVvG&(7h`RCD(ve#W
z8}6HXf=)OUDV44|@B!^i00drg=e<HD5wRK1(xjo+eLXSSsPZ`+X05w<r00r(mjjcE
z1jdFK$28Y1jzudsY;jHtkPlHng|~}ot4}Bd3{)fK913U$c5^@y=W+I=D~85!DUQJu
z(!@)3IiLxmg|-rT^r)lDu^lPxAqm!@+);t2xE#-pEiSI%NZ>%@J#m~@0X%JOD#I`<
zC$1~mwuv%LaUMO;x56$WQ@cMg6}%*tj8|tPDm-v9$oq-u+KWM$#zuLjVn>LheBWAI
zX+^3QZb0L0TTh{6lOTk7thw9J)NyKSGLR!G-t{c^OLq|CXgyTbc+d_y(PeLVJqMW!
z9AojPlJ6e`ayryua!%e2GHFa9MmX<^E!YX;hiZbyH4Ws=2p(K}iSJe;1>*;`NL5I|
z=}?`Xqx3Uvr;!^n06nW>Crhj_Ts|v0WkDzdoSL>b#seVstsS1Er)>zNLllH}s}WD+
zjGn%=7|W7QH+$1%PzM-h?MqA9jF`?_pVp(E?<zpxQZy30S?!M0%X@z`s*!`55<?q-
z<pKxHY7zh=c1O~*ZdD^bS;j|9RX2#Y1Dd^rT(+6rzUXWY02K||%I;UoARpF?HEVXm
zF#@eib-f5d(ve%CmX7epjiGqK1DYMPkfRJ~V~{Ldj1x_EEWww9MXnnaBmo<f(t#?T
zl`QtFE*XY$Y6Bk9c-lKtu?(3HC!CrtFzPwxp;-d|0F5eq&CMVhw$n^bPRPf<Cai5$
z7#ZS{R*-~MI34MsvT;qy=t&QbR`Ui<K&>aa9!3EpBbv%o1D)90L$gevBMf(?Yn6Km
zYZsS00ry*wY4eObWR1A*P)TyoOCH20Z?#79{l4H3HjMHGX>D%Ey_JzHaH3nQgO>H7
z*FScxEvqQbK2b^)LY#_*?#kGsx#D#v1a~y)QKdi?K`ePRvq8Q^BOnT)b8~rRaFN8D
zm5*Aqudti3p%tq}2g}p7J?`2xF@OU1HC8*T=|q8$CI>A`rrNdZWSpM)rm41@7d^B^
z*r!t(pK2*v%7m2u?-W*irQD(A4u_>V<BnAF-9v-eibBmRFeDE_QX-H>c&YU=T5LZ?
z)irMjY72FuU(0GoCL+Y6eiiK=6aA^0(c-u9ErY}k2il<dm+E~h#du@uN<!=^!*J=y
ztz%MA9nZJCJ>xAO#TKb?r(VTyj50Q`&*fWPM_Tv-)(fpF;9Th%jn0>Hry-zn7x7cU
z{Hxad6Z=i-{vKHEJXL4?qi(zl>qWzX>dW8ou9($~iaw<6MRNWU_?O||8(S>8R;3K&
zjF`&+>-8N)bl`*2k?UIk>{3z_idq0aN(ttQPfSn+T~|)F)oi4;x`}3m#u*r78uGt~
zO%I3uB5QgTtUgt+#E2K}jEeQyh!L?phg$NFhOvKXc<aQPmsRt8r9JrKfIVlRq|QYx
z1keBuMF3JBC<K}SIvQMNicXXOy(tO#Nu{dVjndfJO*@<{Xjq>>1ps;ABgB6eU4Y#V
zmjGY*8y<g<uS*!lI#-(f7LHr(J5bkdP^{XO%g8g?M+5m+qpid)`&LCPI|D!xbfZ4h
zW`HOF%?H|yjN>Cdlu!ZJuUY`3r4#@WiaJsP3E<Mu0Yx2XJa(W1J*dWd&?r25&;?CY
z?9;9oc0zwj^Y4MSZ4ZZTCv4_>mwtY=*!a5fZ2UccBR0^nHzVm;Ukc#zd>v<%!ECqZ
zKplTmUn73oZc|b4$shCHzPbXwMg6vhbw3P$*LsQkEDt1(>PA%r;A5bvR1#?;hblP7
z6(^O?9V^Vb7OYhm=rKbA;FHcORY0SfL${|&i|Q8cL}3S-VT=L?T9mL~d{aEY$I_mp
zT(uh=fqPS>jIIbE)M&t{0OZm<#1g0VrEbJGaSV#19Ax)2!zVb!Ln7~fl=T5Y=O(Vi
zjVM|9=qp0fAfO$)stD9L2%|DLcIYYg%J%ZI<hQOV-%SgO?mWbjO2G05rBa-gVgSJD
zir3hTNl%rJQ&8%*%BZp-3<$v@l4gxrXlBD9RtGg^Ieu`&)fWe8#aXsiljS3dY?SWo
zcD@wWzQ-tpg39NNS9ln>2eGd=@Q@H+#vMZfdYbgJg#aycOGa$ak&m06l=9&l=07j3
zF`I5Gj<C|nVKTs>rYJ&;<0go%X(U5@s^#UL88PLsWzSG)x`cbIX50P4{Hx4-8R9Fi
z2ii4`y{BA7nF$w4Op0=Q`d0Uh{w-*J5Ypn3=0=oUj3UM|aC_prGaMAKE%Q6Wq`E)2
ztgX*8s~T8%w^R9go^$Zkg|?@4D{=msz@Nm|Y4DQfH}MCH0(ZLpmE^iDzlrq==l=kN
za_ddFw!4_jh4Ni;dK?}r+I|gq16uIAYSZhl1KnOp=6|F8(ZzGusVU)bk#K3nOIEbA
z+Q-vX!&1XzvwHsC684_WD5vi!M%>A(X=A$tZtGGGnX30u6_^pwRF=|~;Dg0uZ7zJ(
z$&~H~jMNvpdS6>f6rXX%4Qtz^doTtMeAIU_1wvPWLX(TS8;X*%Jh#MlG3Wx{O4A{Z
zDXxjk&N@~_my54F5v;D8H0`RH6EVjM@*C2-uNinvd{bf(W@~xVl$tY!TJvdA9}mOi
z>C#CJ;?5zs)aL?689hdNSKH<Dql^FxLG-?*$y45Mbo=yt+uO-%eBLQf4?bw<x__0w
z%=e87;#=K187`wRG>ejlsHE03>wQKO6RuDmqPc$n>(~0Wmhs=^riHe7yK%gF*Ip3I
z2v7+1HS*P?JS}#kqfepi#X}WF(^pM(IUAim8$DLmDBYvSCD`@$uAj^zHB*wOxTv*T
zIIe9Zjg&D};jzdyTf_Q--f1BSVKhXkC%tsno5avnZ>)5GKBtw0r5p|_RBWw1SIWx9
zjJGM}@`2P0d)90Sl1kfhNvkfKq9iE}dYY|kh_BRh&s=n`B=_4M%F0MQR7C=VTC>F*
znP759VOi}7B;XoCXk=g%BnoRr2fZUXPypwiYGMWe$mi0HffY8APDTY-hA)&3wL01s
z?lJF9If<|k{b&L+8462qDl!1$r@dN{w?~|A_NGS>l!3Pxpmrbt5rRJ&d{BiMQJPs{
zB1|i1*ixqhf=Qr5#js#OJ$a-yih3|U)gXpOJTT^jf#W|mGwn<UeVhycF<i%wCN}zL
zKtB1wuC>?|=yP1Jj5Nvh2o<8smHq)vJL(6MY8MX-WG+LV1w^eU*s#n)buEh4)a|5#
z<7BY_M_t{kD&|=viINft&p8#^o{0;qWVXu20NLN~NgneiH((B;rnL>_1lg00aoVKv
zHhu01rEsvSr9mL%Q(}={JGze4o?%7{)Oyrx13Ba0iiS~jCshJ0jooogl0bO$s9}Lz
z`G9lNCZ=Msee4o@R5jRTRRv|?Nvm<p;d0|1)mzV*orpjeupMg3NDA`2p0#Z<Q6OO^
zS-ARC)|S!Blb${4kmG}lfz(xy@jK;kh&!5>p-8q6K^_h<=~?o!`GlayxHRE-tV-=I
z@0zbV0my2lxQ7_SGdp#~Rk*k@pdo-ADcp|apGtwF-ozi5KBAk{Jp~sf)rR5gnv&Lk
zDYN&K`qU=bVp8S6KHcioq)BoH(m3r^vK_S@32TLC#?>9DX%}c20Mr)>_M$+IwOgsr
zLsTJ|7?m<_VaYXC(&XOS8mo2!6~SUE6b52goO@FQs*$UMxqWI>nOFj&gWi{*uW|{a
zWo|K2Alrh++N?UqwMfez;M6ma7!Wx3sVc;h2W((reS6da`N-oPja{<&(Up(Vp7yGs
zw%yeiwt-_VAoB+#`vFU8Fofqjcq7uA_Sc$bjs*#~?-D8S+5}c(FYg@wX13|6pHj8f
zspQJcGv$sd#e=NMB|t%Hj(rtmT*~a;xZ;RaVsRKaLDL=Tn~PckO>S-MZy`Qxfz;Jm
ziF9RC$>3tC-#Zva9fB#&2YS0_6D(*>Nyh}#rKd4`*LDvqtV)OPfl@-tk>;obcg0Y-
zxt=?tuoEHR0ywQJC_<*`<zF)y!*n#-wxf%?vK@B>lG?F>H)prCbL)0&=i3}kj1SBW
zb@ATCWflzal16ZA0&^a$?#x1xe}b-?w)+uMH`{U_?GrD}<sN9Q2(-9kjaSSk1FaOf
z*I{x?xtgRBc&8kJ_wXsP5t0e!n#44KcCK~=(VjZe$U!2bSHU0-DcehX8hZ<I7EDrS
zdti)%K^YjwH2t_a#Q~{KOD(er?WB8Kl;viHwy^v~cYX@^{{Z6e2QQPTIoE8Lp^*OY
z53hRTNjRv=l_!o3TxR33TAx+;8}^Fu$BWe?n&bO6@1ch0<>%|ty+YdZ3%JCP%CaHk
z6*&gKJ+3tP?i=Pz9OrWIYpC#lj(knvse#k=DJHiEm@W?C`PWQpr?@74&OVu-@n1i9
zclN5Xk7PRao7z7^DssPC_3sY&{{TbrUAoPt-@`hd!G>#e)7WKiiJmTB2Y6QNP-xm+
zqhJa;6I8wtX(r3U@m)UFmhhR_j{A;j{{R-Wxpj{L>Ty6+x0k;JWDq&4UkmTzzVKd{
z(QRF@s+9+!0+=0H>q|ux08vF4paP00pakz+C&nFj`zykd+oOK|{g%=&I_1b;>s{YU
z^B)($z9#sOqG@O6hSN844{$jBNT3ToFSOM34}{lN`X3sEHlRckgPe1ZdijIE*S3kO
z>C-oe^_>^Q{%G^lQD+fKbI9k4`s>Hu8oTiyg>Q8GE4H(`kw14T{{RUcE9dLqg<lYS
zT^*i_tXb*t+gr$_>PSC&z#hL^0NePN`%LQI1k|U79U>cxOEnEN^31ASciJ<}Q}HkD
ze)jWd@o73r%-5Eya>n97g9orDsjgqf{{XWuigk@!SBX{)M&9uP#c^=wF${WC-Xr~;
zJX+ov(X`lYEN|8eL2kxCRpMd%K#Bmn;!oNo{5kO>OuWCEOM7dpAko+d$ax6h55~O<
z#-AOvpA6`FO!4T7ZtsxDR%t>cYBAL3uQlfuU$Qmr{FVn<xEE4dT5O79a?!{K82TDd
z8~hIVfv-!T&oq$gG1$cR?`rH-SR8F{(vTVcCH<@XLE=3dLAua%{{Sw3?NMiVi6%z`
zWCPqB*PzM!L3oo?)ntQ2@YCPf+AxmlVAvtM<JT4EJ{$d)JXzuI46-4%H;b!{K_Xo3
z+r~%fUDcPvZ-^cbzrBk?Yf)>dN#@HWgP4ir;+g}Nu=w5MEf>a~CYs+!xYV@!eUds#
z_z<o+0=jP+e%IF8NA^{=muD3B_jbbN<G7SY5q&aGTHVlo5^J`0zA9U}qndqEAgbVF
z=Ef_`d_(&xYfw+5>h`vlnx*Vkg4%0)ob4FsMIbx>00{oqI(LZ$lQo}_9MMS3`?9L(
z)pJ&SKl@hLc#}-??W`Q!o6~5pcWfWM^sY-+{g<_C{{V&dI(@5KSZi_I2?@7cDyjRz
zo#8*(e^v0`j$*$TNHpl}01<)z04?#$essXm@dxc)sQ7cl5yyF=M;4g(BHMYHeB6_a
z?aez;{i=0|H9bx}C&N#7W2Uh4?isK)pGxyhQ}$)?)~|5Z)5U8p%i(kO`52dV4V+`O
zdl!a22I_iVhvIu_S~D)B2bM=}C<C+C{8tx?z7)->Mhq)+ZMXy2k<z-KhtQZjC#Nao
z`9i$wUhwtDg+3HmXwtAV<sl?{kSo>vJ8Skm7S1EpB2oHK2A5j-FZR(;+P8)?{{TJf
z>p{m#`7`#=Kk+v3$NhJxpTfqEDhhBtF-o9?=BAI3GwDr}8?Y<KMQB9qKmb%*uyaxs
z0l74%Vy=7D>_Z`QyOZ*dT7kG@x0;e<-bg2pN|F=-PinMc*$ic(!6%xLt^=H&zO?zE
zF{om^9)_UuS-BMS5C<%J)4C36V~i*}ha#3h2*4DH9I}AQNv(J<t>S|MJ<<`@u>?VJ
znw|vncNK7~y^ReQ88peGxp}TwA`-pvR-C~x^5V__<TtHXh9e9t>PV5e;+8DKDgGi?
znl!O-xdr97lt&m^g=X>zVa`1&?D7Xy10y5m&1X$)!G_krs*RrFdOZzo0`^OZno!<b
zuiYNC-uQQ3d8YF2r0c-Xt$D4T$Jt$b4D}V!*h}W!#8BfTb5T;v+8U$N<^j}gAB}LH
zKD)VFi(3@DI(#zZyx`z~I|E(xA0?`8<ltAH_}^5qzq)NZRkM*TPu#j*fc<N~CxVtO
zUN^P-U)3kQyB=<1E?N%G*Z#NYatq^Ij|2E_3%l#Tw%g4kad3ArUf9h|@bAN8#`iZ~
zE!N{7WgxA!yn}$hO4FC%j)&r14VASCZXyFQ68Q;S#-HN5{{R9_4v(u7CW#B}ONiHu
zd)E1yrHjU<(^RAJJ6m3fufX>*detzQMOru(rH!eiV|{rN*Om3xR=2jrU3bHGKMk(s
z@m`TKT0!Py*|!2fPe3c*{0rhqyieh~O-gHKwRw{z8oYYl2gW}X#3LvE5$hHN0n$P%
z-feATv9XQ_6e23^3Ofq<%C!}0(w!w}Y?njb#==-kzJ?PT`SD9x%c@Ukx7DvbR>fHq
z%PR~GzV#)#DLi(oKV<#EV_DYgB1}&qPinQX^9>pj9fKp2jw+knPQ^o>4`EX?{G&V?
ziN<<<bO88=HOF}8;pLUm%c&Wpi30hu!x_MGIp^}OvNFo#lf@Un-NWROki!HX_1A^O
z)WX$MrtEXqqZ;sWl025)>ip=Bt$%AhuFhh&M#AIJiu8XBc)fK!Cfm=Q66!?BjGj-v
zD~{EE7{_R2nk1TK2Xfm6`7>Gf-V040$#n~>i4$0t0vKa%6m}S|tg5h?jBOd&x2BtU
zdM>Q+>AXe}-N#F7ujBqm_2{BAt`)%tt!J-?nkgin(&6B9)j{BzZj~&$CW9T`rbK&U
z-61F1rtq(fG_MoF#?D|{KXte@^DvEiDs!f<6{CBj)U8hsiRF!5_gxw*+3T`d?~3+0
z9n|pQcr|X;`U}J7!_b@%YhFu5aNj8D+*dE7?TxOXJQQ=qRNX4{rBX4pmAyXWj+(?_
zE7PMn^FiNruA6Jr*=aCI1FcUJVRCA$Sdum*;0lf@3!%gEE6Y96%m9&y=QPtEA9X6O
z5E61}e;%~S9p;rDw5u*a%|=Gk*EEg~Tv8cqy1Mc5;-P7_k`SDltjtbVrfNiw9D~gP
za%ipCkV|rE&)I;Cj)tq?$A%{@Py0c9sPyYh2S&wTZ$s}+^9ng6=A(_iVYufMvk)`Q
z07{b=Y!Ss*xPXV;8;?qjCBW;=JIw<GocmA*7vdiY#j9V5_p&y56_<bT`IP~;eB|?*
z@2*JSm0Z*&aL7R&O=-@=WoaH6wXm}SNY+V+!E9D1h&&D^4KxgJIon;3A(t8Ari^Y(
z5s~jnO{Z}lDr}`mytR#q&N@`@XEmPhIx-JnMS9z5w(9%DNDp3>lj40R?fQE%C|MJc
zf!4HByBX$lK_%R4vAnU|Q{uHSAOw~^rl0nc2`a;p#W39YtU17~+ih49OHz2^7{RB!
zKmo9f`_*EHB=5~QleZg=YciWAjTtg?#WL>iWMNctYP|Q}TP$h`Bywp)LRilwiRU!=
zda+-jr=eTEqbPv@`Hv^kw=R4YcM`KIhX8h@@H`Mlco?=H7y`Wzu_^~@$;!-kJc8d&
zlw3CW*+4ia6+GHpixG5$vi4#t)LzO5LJVn>?M=GUqyEm4H9!X51y{7b$P=;SQ|WB-
zD9;D2C`mNTg+a9QlUkaDqS4zuLB&yX{iw>U+f)vH>ucP0NXB;;mpR?IlaW?Z!4R~Z
z0(#VwTE}GDB3!xXMMCy-N{i+`2XR_n=2j5hrLH4<GPg>VArq?YZL6H|NoQkgak&_s
z>(g~uQMCC<g(syaWw0dP<cMMoupPt<b5`cHgxUu@W74Zx+Y-lmjo!7Q&@7hk9__gt
zX0UBGT1>@@Qid6}Zpo{w{*dgfaT)1UrO}0~ipLD+y*)0rF2X)x=~pPN;w0YEFC~l?
zQ85_jsjRz;lu1d586A2ksO~N%mQs(MhM#T%5ZE1RlD4c{>@ZD#b0UX`BKNB@S%y{J
z!Sxk#OQe2-Y4xb2V#&Lxp}!&7BD9|%L{#%5?rPPw=sT412TXRV$uG=T7zERvBsu2<
zbHyw4W4BUP-IFLEHaMu69%bDi+)t-!SDoYvp?;>U+9Q=CudO?UwJOJ=CFbXlFav-p
zBcmm=<qIht>!ym@SnWeP?F3e2lKIjwRU|J{Pnto?5;d9CKpm*1GB145P+o>pDak$k
zsuTpcQ;=yFc5%4W@r)C>x$QyCqbx=M7{@;JuDp60Y;H;HX<5#Fan}_Zm!cY^1Jab|
z2Q<z3H7P=4FODc^E-)zi(l8k0Q&s%Dj%s9F@_JCgJCHkp{1p?*LyU|MYQFITDhVS-
z7|%3C*ru*R@kcshKp9VCQCmcGsXW~}?rRB0A)s=+{V8Qr7aZc4i=KLp^{RH&8SHny
z9{B$N;++o6+3F~o<(UOozYn+i*G=$0<6ezpuWA+-Q%R*+O8cRT><|>5pdOg79#tIR
zkEKH_5y>7TMQqm5s@CCi^aD@Tto2w#wwF-cp&T?$8~IhCU!U4Wp{nQ;tolx;ab)2A
z)pNJ<uT${P?K$E-5mGH?$u%f}!ImSn@#<@6)QcU_^?eoPz8C$Xd?(@^sU_1`On-vl
zW1p>hJ%+Jmsm3I=x{BcsAjZJfm$^l{D9AKp)|e5`D#Z&s8~`(3XYkf0*F0IT>&|l<
zOZIqk{ng<A04nP|eXOpD;fvYH!)z+QQ&4;|(uS4cD<oyxE1-AxCzC)OSsCj{RC)?t
z0iu8t98!_RAQ&{X0GOriMFh|Q4FqScB?5o|G1yXq2hxf_bJ~CunnD5k($PQ-*bh-k
zIO$8)lN15vpBV1d?sPjH#5}iXKpw<br&+EoqaKO{d5^>kZ?}9y@Z<vwQTLHvr4sCj
z3IKOX`6Kq$a+;@w@yGA$>tJ(VB>viQi8Y@K1Jlo_pTfZND8!8)I2>_Nh?uD-ty^7z
z6njt^cAQs`nA#{huy0y!#$W;Btx3rsRaqZr0OZ!2nYCd`V}Z}PriT%?IX=|SII^5n
zw)T?UH}2Oby)_b9I?Elv+cUDLA1D;mw|NzsH6>T6rlpn04CW%prv-rERm3r+xEqf1
z)CzX7JCqnmpn|6z_^4wApDfr>+N}$@A!k9#w_J*e)IVxA1rZ&-T<4EUNDz`-55|$>
zAOYH*tbDz@ussC=XqmM`5DKav9<?+V22k6OBN3d{4=fh+t3lQ$2Rpc>V$`2eE~eT5
z7|E*9a(;4Yw+vZ{=x9j_GMDD4o88>C<tq+O-#}{JjsD4_K-*X_#a5eXK*}i5ihpas
z%$Xap%`~oCe6K^;<Ge)Ep=o4PB}XiAn&P#1wY_HcYhiV#+u0L=<}$Mp^sdn9&|bk3
z&Vl0?AR5QjJQ?BZxt?iNR$i<_;EL_bs?ni7dGG!k+wn&ZG8HPvmOFae^kycV;m`O(
z^o!Pp`L3Q(k^_9B=qqPI@cy5#czejZfi5GLJHsw(6T|lUZlf-tVWs)68jKm3lDYI1
zzu}EWEe$2HzLg?q`3%Pc7474dO883Ao4oF%?yTHx)p;K)LZ{VpoIO~sSh%>wr+ZHK
z(f4Myf#FLJ3R<nEodUrKIod0sNq$^bHk;xb4QF|>xl53T2Vu?)X-4g{mBwq~qib3_
zAEQ@wU0F)K`JVUR=4vcrdwqoCJ;hXL1abu#A$yv&V>&Sk+!0aSHfC@L=e;u`jIpsf
z1Ob|fn*f2$U6G?e0U(;Dz+~gSJCe%i+nWQgrAYgc)MpKzl;w;ggWjJkJLL_YMN+XQ
zjCas6QH{;q8lc`Ev$@sIr6L(-L4*y+U&5OOq;DqTO0n)MQ9e+rqy^|n?^;5nso#;>
z;&D^>k>y_z?sb0~UABd!DOjQT?isQbfc_lT6^^w9z_E)>(<ZXjZDjJLXx9mW*C(ZW
zyqaWC$1Jd-hjlq1b*~t^w$(ICE1fzxNxHweVkA-bQ2W={<=EO&qwEw?<=b0bzlpx<
z$ocGE9&n$vZuj3#+a=ia8$T3FcJCLIcAx{z1Q5ocZ6@XBmgd@UjQo^g*0?Kq2Zi<P
zOE$PEYZP1M$@|8-C_W)r$rff~Y6-#z>ciI+=2XJhqc3TPjpHTS_g<eXn>o?MMMAr@
zlkaOkQ(o6vP_jpKMZBnXvXj@`RsA*LyCg$0pKkSD!ELn#Td=XttT=pTrMR(*bG|R#
zOuZR+t_HBvlTA3k!G5Jj>(pYM<21fauU)V5ER<v{rj-dbN-a~!aUJrMZ|{M@ts8l*
z?i?&~p*=v&b5z6Br>j?8*2ireWg6NkS@wEAxJ+Y{)|y+K4z&ieeAXo+jz2b6I8mC<
zmg7^jK|ISDPUxeMD(PWoQYv>!`(5s3TQH?YZWeCa*=_1-FxuYq(#*W}s&VS}(z2g3
z1p16s@wL~3ocdQZ=}w==8y$43(yjbCC+IO`GIh;cjQMaAfJv&-!ohw{xa&-?S)M{9
z&MP#ojmr_SZ<O&#DcIO8nv!J^I`Q?VNfOAp9che!##m%=^rv}5E>BvORI1<{Q&mY^
zXY-|SC{Op!GtD$d@)3;Hi6Qy222BJNM)mclaae^wiAH`}l_d;E&5Bis$bcSc7T<5S
zDd}QI<y_-;KGeyOGP3&AvF%<!>rI+M2TDUZ3y%X^+*~xF&JQG3GI$E=OWXmrAb2G9
zuSkz-tpSEkD@9SDIT!F8F_2ng(~((E;K`-DWL5$p(TT4@b;|N7u|&AeF+!U|)aC6w
z4+L;*m3+q|@A_6P&x9|nq;V8G&>k39qvQnwl;MRO><&Z2ejS@jlw4f5(FbbnVm@l*
z3}&meV6g57YLhH6wXss&!7<xbBbGVEM|pP4fJcF!T5OBvl5#;6Mn}xR5u8&><hEpM
z-WG#W9%k<;&pdao0`|^rF6hOAaCtt}>}?t}V6f@hy#D~i`otGEjRAvZ!;Sv6tvNf`
zdYN#-Ws7kbz^0w5q%!1s(<RlG**2=Pu^7On+e~JZw4-Vf_f2nYE?w5fT-K5`{^dWr
z9Pw6T$t-Y2KZ>-H);*`L4N<v(M!+PTcVAi?zT&luR(ERIP)2Fu=|sjda>LfKt&qcT
zc9K@E&li~J*eW}bP~wx&6L!>&<4_Vx(J(v5L)#TlZ)V6Jom!RxWG*@m1u!naM{`wl
z0J&}m$*ANwWmN~SG><V3R0EM#V1T#GSFJsP6{c<dIIDJ~ym-$_j^^ECQpA2$6}F_2
zxlow{xu<5(w7#Xt;sRD?!6Td+VU3<m+i*Rq)H`mFl~J0|w6p{cIURFQ%Sg{yh*kM8
zDrkX=laMpTYz;0wrJ1m&^sMbpHMfOAzVHv{K+89`pKGvK)xayq9qO&LYaD)G=4up1
z5^v5UBZ28pGAs-Me1lKOTk1si&A8xkMNjtl*N-e5ccPt`UMD=^dr|>`>t28Tr{k#)
z78YOk@|Cq;9wOjaSReaoMUHdO4-1^)n6maAYtLU(@$-!RhQJR`GKlXydf)QnW1srz
zM<^bN)wt<e7UMB(Z^FF5UikGnHWnlP+EnrD9zQ1wV`1(4%2paZ4eix=W8RTK8Rr$k
z9ZSdV25dC^{{YuYM!oUj>t$d+?WICY(#aj;$bO=sXp6pjR}J>>9fd3`><Au`8m}g)
z<I+A`D;)m-*F#j7U}vC_frdF145UDWj)%2y>2u@u12%ep;~}W0yz%M4Yby`?_-QEl
ziJhQr-&0O10qa~s-FWPe`0}tg{{W_x!*%1r!xlCqANpxpTg=YKe5?Q%>qzXxb<S&w
zORpZP{{YB8PyYbFl?c7@;bIMqfCK)TQnkXzYbC66F4jPE-@RPXbscBJlZmvQUgpt<
zNcWPTk**8vzB^P0>^3L<+E6tQ9D$#(*n|H7T`8v4%+sOte}}(mj}qvJvFg@v>S(=W
zPnEwRUYp^6+H=DC=~!<a^vi?%Gw>_nsqg%JbN+{8&;2y0JpTY4x8KvO7#~?W*2<)o
z;<@)v#E%o%c*f^M(lqP1?h@v3?qgtnP<gLivW0E!VvPnBR0{mTw!HD~opTk{m9?Ff
z#D8_-n2cAYcsKTo_{X8k<zGdo>W~fqcf$|HwN)2Tz0bbKPPAgaH2(mGuK0<Ze_&V-
z`)y7iwP(aVx&Fh`{{ZjpKWQH0KFOmvua0B=sy-pUaiQ3M-`Z9EseU5AO%G24-fCXf
z3#e{=jfzV6<$r2_h@_wRk!j-}^wyOA)V~pV{{V>=o`3DF9@ZVlW_^p&fz5n#{{Rh1
z@fe&94^Pkib)f##zY&-IU|N1h{WUauSa%CE>|^Oi;rQ3bQU27w5o90o0@KIVS{wGI
z_=>;t1JnNi@9iGe9m2=hgS{xPjtA{c@fo^kdVl@>rT+kiqWF=5f3WoKKk2m|)*Zxs
zj71?h2Q~4~{iyyU@&5o4Jv;vX)KY%bzY;+pXgYEK0JhY7Sa$>7^(Xs(#p@+ekpv{M
zuTC6S!q#6Lej&x;skNrkbn@<-e6ue~=w<z>{v-o|p=sY=I*)4(;bZKP*1k^tvw&@5
z!yonDvSa<JJ|r;z0FWM?{{Vlh&%Pn}*T!EJwXH5qV#3bO+RgXo88S^o>cPdN$70sf
z6c1{I;YkG4j&XsWm0W?lCz{|$8x_gf!RuAp-M;s&T101Vl=X$&o;p+6k-11)oM)w9
z(yc>W9Li%D&(@eY>M8NC4!<c2o^jrt*wj&`nvB-=Q(B=_joT%N=CiW6EJr=6-1e-9
zCNQ{!^kx-aIHsJGMab)lHwU3gZ@KSKq^+D{v}duI2JN3OwL!G1oQ!+XppqdcdXtP)
zB|DQ+hRfvr+JfRx>~YiDixDkH1CBG3OB8!aVslW$$2<y`%*$;f9`wx6I2=%@gn)S_
zpXD+B6Hbm6E-<+wfvc9pEYU1zI6l>)meD~qqauyqg4GleJW=n*&FM)Tgvv`C^TPU6
zBc{ir-`_d#?DE^3N+UaQ*y6l?>%;dqz6+aKhf=uvcH`#_{B6%873v-qcDc2d-b6Sf
z?;e%Ux58_w=DLOTc_7nga^~JHI`yxl$#Jx>oXV`!bx&1$rMf&E&ka(uT#@F{t?g&g
znwB^EUxd6AhfkUxwiq|66U#O`*OO>^9<T9SU258nsK~InR<ncU;Ck1vX@3rMEe;?O
z-_CF`zGJxlwZv%BL-79q;!L)V+jRX)=3JaAwRm{^MF`^KR+ObUx9?v|-{-OR*%d04
zviwFCF^nsy-V#YRt-YICKDSzwJOOr|1@ZD&9LJ~M4XL>FYWfx5X;KHv+P-J_%dcrR
zTHU;QY|C?~M=HEY2hKsyPAlmD00iGjt$1q2d%JgrXNVU`7X%zv9x9zGSce)7I6YUD
z`h1I<#$z(vJ~tl+8p`mOHjaF|O?ORo?u(E}n^=+0ttx^Pu)_mRyR{LVsKBB%*^0p)
zJ1Lk;mM4O01`NC&F<Mty7{RRhok2e^C)%iyppZRHJV}A?OkC&Ml&NFM#ULIVXvjR&
z_F`MCf(qlIs`0`Yl6zHznc)~$AbL^@mZG|v-!VDJ_pJM{C7d%NgV>Q$nardI{OMT)
z!1MQMgVf{oZvt6r8tQ6OvpG?ZD?crHuD7Nee-z(bT+jAWgBIxNlws*!=e0@6sBUa6
zZiq8O9Jo0fmo@Y_EZ(ji+NZr6ThSg)CohF%cxdl`Q_3vwwaq6?u+wZ^1?Aj^LEIu&
zrg(D4QhOyjl!()gr3M8?d_Qcu!PG`fyEZ626nj>^z0Z}`k?C0G80cb>jW{LMyK8^)
zG{Rw}LB44|$$1i8SftV6fNx`2AJ~uw%BhWk>ZcW~*JX(yVxmcuKPNe_E}kN-FM>@S
z6|l51AH{-yBAup{6jx$tC6ZQOx*X&R&}Uf~ha4W&8*oXcZro{Atvb?Do4taD8kQa|
zG~;B*?zHG6jhD+^r_feZbI+r&jz#k=^TUp!w$b_yv`=U!LZoC7iq@7T$K0u`U-hBQ
zUj(GpS|04y&-8vm+uZ%30bW7rQY^+92|X(vZ11%7CMgxsdLs(Cr)tZ46Dy%fSMMWr
z6;&|Si>XcXMSdQmqmAa0rCu&GefEBgw$m(x?$5PEUnc;NMLa6V4tVsa%KX@_6Vfar
zWqIpLBs;ofQXm0&Gy&<&F^3J3e@a3E#=wD-QYb5)F;Pm5AUNndiUcevl+WEFl2y+O
z&U@5xBV%YM@uGQJ6&z>jRJSAwY+iXHqGj_iPDVRX3p-_xe$^&%)`lUe8T=?wgHJ3+
zwIDe^)}*8>42)9~C9&G293eD;dLER-HJ58s2@yVWNj<7ZBy)~w$O9e34ECmguD*1V
z<c+IRmI1IiG_uUFkC^f4Q9|I7$)0^`m7d~$MYKbLPZ<@I@Vm-J4s+J6wDL0rUfpPr
zl{qIq!k;ysg0M0_mJ~NmwZeF>!_98e-mIIq9zh)|y=Gm5oCdB_#yXX>c2e1_n30Dq
z=}sG#a5j@j(zaA>90OOS$`H%*XRxRvjV6f%at7>3?^j}kTQ39?>0Jz^sa#IZcI2q4
z*Hgy=jm#S-txV;fVyrfU=~Ok?gcg}@eJGByNF}1VqX>>zvY-RkH7s&@pD7#)=QN#W
zIDke34_e(x3liuC(mI+a2NEMIj=Yd=7#IiAs^<<k;+Ep!7lx5{Q<STy2k<p9MO<<O
z<et5$_VSdNWaJLD14@x6T$-*XXMdFK2d-;N6?+>uzFop?LAZL>C)k-JAn+>3+I*z>
zj^KM{plg<t=QsnUHK3lQn;DI~p>S)Z5)UC*e;smB+>~xcbJDI`>W>pDwn}#Pp`c9Y
z{?P2Db66M4D#}%fC{Iz^wcxyslx2Y=epLnNj~q78-E&fkdX^0E{hlC^k}=8mu47xd
znki1x@@Ierbdbo2Y|w%j<AM!hU)o7<HwFq9ty~&RiKfvlz2;y-(esXIs)*Z=5h$Xx
z<%yD<ih?1$eCHjpPcQ;|{b`3FbmElEOMhDD)Ru`706L71T5POFam7fXpS}eG+&3k<
z(%1-*9&QOFRG(*PutQ+ftlmoDcoh~|&PngqjmFC%_W{_{g50>kZb+(|$8NQD*}hSp
zw4aet)#@@kVQm=)mOW}V!#6-GYpJ-v>rexcgHh&dvapJnYJuZslas|yziGt_!2{N*
zI}*^aTLKP7Xj^cj<>MZ;G!hlgIqgtQHW`OXdbUo3Psm9op;D~JJ!y|2V^OclOJ=WO
zHb}+SDmn^hUZ)iyJH|&e)jN8MHxd>&71$Ogn=<ZyLE5Ga7!AEmP4+_Tob;)^w<_1z
zqS4`brYZ8+5%|@ojGon9;32a`?kiZaA&kZXuj5r$0m!Li1o7C^-)BTBPvcUw(0l4F
zvT{frD44eJ2Nh{vFfaxwj~?v5PfCmHsaDfMHg-{ra49#R&XHL9b)_H???WvJvurrV
zPpvjd!RMi<B$S~e9Qx3qq;5qtgydR{^100poB9))X2Ty!omV(C?QMy@_ag^r2A&u&
z>rXIl{Aql&h;vZJG=Nw9Xhj`ODcVTKT1QtvNa;@33yyUiM^9>xXwNi?Nnk0?_!uJ;
znrLZ&J4xwHbB}XLkVbP%XBgvyNfgMWZNnJBq-4m+826^+mn8P7S;H<dTP+MnTd5<h
zN?J(U3US3&NlG6|o;!%}OEJ%7pc5M$5=$o38`+KkuD?R?WRfyTb@Hg^ZDaU;-bpW_
zF~(d5$*)vH@-NGSipp|pVy;0hnQ1k+f=Gj)9V$C*7Ru4{90;WQRih$<jO5aTp4E-m
zjJ<p8wmM{l#D_fwE6eUsm1gpe(t6jgURlL@fn{C5bAwr0-HohTWPm^p20#L;G8yGk
zH<X)vvAFa;l~!APa>E&|nQbMVT&zun?~aw9aT{&tsN<UGxeU)mD%_q0OXg&OkH(S4
z4>W;yJ_S*SQ$&R^1G@(lTew4zIQOcV1Z~be>UhyYb^ieC)U#;2>|U2qX`<Q}VvgdW
zwA3L<2IV6MtvVJ^gCivNsu#oegeU-a#U*A`n_8Zs;caHtRr@+)dkl)`gAv!Qd3S;I
z>!~$Zra(+<*1cg@gSc{Q3FyjCn^VX<e|4?un)St%mZ17{Fh%A8AKsF=2)-EFc$-wR
zOZ`sj>Es)Wd7m;K_3M5seJa;n)7s(|mhwZjLU$hZ5RXalw}_%YVlkVayD{hwrG2z3
z!lnc2>Yv3P%Uf@*{%3(kRq$Bli=$T3jJLbe{#$t*^ZYx}{5P&?u~}Py<%a2B=4Sen
zUhk$LiqbF#L5lLtYUUR4Wr=qAbCF)7WpKVi0gCc-I!cxk2?)l^mA}N~%5k-^`JQ23
zy+=87rK`Tl3w!}!y)#jpa{vIgbKa$uMAu8`DbkQh9)iAZ=hqZxUB?}B(yB=c2F5Xp
zxS*??{uNH(;FH@l35;w4F+-fxY}v*r3{M18B)beM>5$kp6tFNS2Q<`TIO$F@5ZNa*
zfQuw>ML0PF7{I6b#GH@_sNKVgV-S*hP*b5Ml~iM`1oQ1h$pN<qJkv6`r#l5x*j8oM
zv27BS5(aVEYf5ydRoV*X6>HO=xvEJa+K#05yJChvGFIp+tTsA@)*f4rC;gbkE}3mD
z+~V$YfzemmwiD%jwdhWyaJHvSCoZnn*S4pTPK@!*)vG3;_E)x@-L*4>nxrUGWOC!9
zXB8Y8+NM(FOmc&Q0LZPa{{S~mDkBVYNJ&-vs~@aVnzc%6<)P59wdpkI)qaxIevGYc
zeGSk0x8!y`Ye5~hgIT(UkR)L(x!E%F$9k7fxqFDY;fD+=DpG@owWRdwp6J$%dXcN_
zE3JApv;P2sXh?T}M_R<yAvV`BUBwwJ4jeCWTE(*1=~9T+McPRE)^sa6Gv?iOUD3WP
z4zV=(8?)U$&2=)yw`Rldlq0BNikch9W&4sVel+Q9V{C?rTkxuj;p=G}vZ+J<$;EVk
zvdg;rpZOf0?eyM?GG8_RWzlsO?Y?5}J+oG$=aXFKv7&vJ-DI{#c~ODRa&cDE#BfCl
ztcfITj5bv9T1yG-Ag70JUHh2BF?6cRmN6(j8hszn$kmoioD9@)$U`1@rb9e;Q3s8~
z1Kd(EE0JDvO*=E%jFi%pUD0k7Nw_Blojr~t-Mb^wsVHDU9V+6?N^K`JiXv11bHzkJ
zEt;Lc@6AVnjz<&-V=m?x=|NJagCLBK^f4}XQV}F^l08qQE9FNtM&%AgD-Gs=B4N9q
z(ww1~VDU~Q0mU$u+r=;{3v)c@eoBh4;UQkQ0-n-^kAag=%NFzoMaVU7?{N)Vg=2*q
ziKwpcVbfu0XKpH3E!H+APg;jk)1lO%^5hxx_NArA>SJ7Z&eBK;L~Y}sHNooooR^mp
z0T%X?zhPTi=ZCIz_GU%j5$-EG+RVik_8EUuT@kX?6>h~%9Yw9P$0}`*_o)@x6_64L
zG{Z5PQ-OjH2iBhz%85!~d4{dF+qf$wpxI;+VDd5C(%jmm!VKlO<Qkq^EJwM9N#_*x
z+95bUH+s))QC>zeXizkPg6$)kzqEi?A1aQtFUsef6GZZa8%H&K&RQ}omZ-}62K%O!
z&f(ZrgealGBRJ?PrPbe+5oBG&aB)>^FQu8!1my5*epyLe&gnZEcQ)Xh^r}sr+;dhY
zl0c(y=AkNErxgg-aw(%`T<3vH5aZUG#fjPuMLifsJ!*tVS7#@s2LNz-(kz9J2;znt
zh#1GEFCmjdE1?VxO*HLrp-AJ@RY*^l!yf%A(n*2H0A_}Q=8dB(KoD}~tKM5lZVYHf
z8>r1P-ft#w$B=mfq`9BXmpRURdQ?3a_eN@2giyHY??q_r2cY7LT+EJCXL(zAJt<l-
z9Ats`)9_1Wh7CyXguxtC>PF=;F~&V;iOFvG9<-|xADWSyVdJGyB*k|OlTB}wbHy=c
zUOW3!B#^ln9DC7V9P_HCG0inDo1i!q8=+ixqst|D;)@Sr&ze{QPJXoIol$;jte-C#
z%|{?DO2(YUhPVXeaY~Q9v6_N7$s>%_zp>##=jld>TCzx0h{wG;Sc@?p-Dy;^4o2WT
zDZgmn(2NRNgGD)EF|Ko(h>VQ%_N!Aq&~UjXs-C>@R+$zZ9Kkp=;(XOTsskQHJ|IE=
z015_)VnVn*>dbQ-6?2TyAMoU6rf5~hanH3wXtcWmplox+BdB51flpN+V;s<T0m#6t
z?bxKq#kj^s25LKqa=aXxvod*$ka-neAi;iOdeEC%gGuNy5tRY&Q;6Bq8SC1e@{~9<
zkh5n1el)Lfq(D@L+IS+QDaT5ZWaJ!^>qkH_N0@1`PHTRKq=8j>a%xv4&Nh=yiB35f
zHA(0@08QU`VwG^12ce=?D7nv0)d^!D%kk(11hMk5^8i++lq_<2phtiR{7p5Ti6c9G
zDO^2C4i$Oh-l3LK2q5uJAe1?3uIY|LW~wB%MK$q8BWXWML3SqKbsck2OC}`i`ceQK
zecpYmO)N(-W9=JIdYVBvYOZ5B8OWs(00|vwSqC#Em9W_j+ociC88Y3f4<(sTCXx$b
zkC}-AjVu=}G>eRk5^3=&1uRcFs8ZAba7oWfd=@Oyfw=uDUy(@kpNIZa*+_Dw!Tf8X
zxVpm?U(US$0K$3}rv{=YMr5`<Lv$j&2-*#xp0$jum<@$k4acdgNKQpn0iWe37&Tx<
zMhQJDC%DN7!*fx~8pt+~2=}KjE&(QmjORJ)NC+EDg`klHU~d>C3iE#zcz#_fP3jB8
zd*h{go>&ZKso&Wqp#h3z45qF!upS!8ob&ilpa3&olXLLm)zFxvbYoo3so+c7M<y)H
zx$V}vRFg1iqcS)mjX^jh`qbyjWf8`i$MIF2FT(eCH>n-OPLZ!tYrnDZos?m5ZaD5u
zOr(*lS?5vM%Oe1hGq<p=i%Re`*Nh%${I%<ruRyc1wt=v)s$;knVp33zq+{t>bM`ge
z6?EM;9WLKwNEg(BS7wnO6#!v}Q&ATrb;+QQlnTra3&*-O?3#_9rKXtL>I{J#hXI9S
z+v&a|@lL01+N#5AZv$@G8*V0~_=S7qc#;*KY2t-rCMAobzrAMoe%AL(*X*VK(VF7o
z;O?5;n<|6p+P?D*LacC6sd(R&*|o1-6a8(}`D(QxEJUMcYwNG$W2M$~qC8Efvl2!?
z#d>9=K@bzy73Urx)m-cL<`e~>`I@`?TeER(9E13mJXf2WMyJ&<vY+zX@ww&j^yvQp
zXk+6AtD1hgCHa@_$u7^DB$F@oH5H_UMty1-nWBB&eMNks_t&wakt^q>G1jtft+^o^
zbz57|&=njpsGwpbIpkuEgL5`Kp&-<yd(uvT%yQdCY2<u^2byGv2o#)?%_B0W%<K?)
zlTRZfa3Pn}Q?s@0pt+U#Z>Wc+I?@4(JkHeD$rONj;-e>?X{^L9NuhcJ)}4e<*W_fd
zJ4s#42NdfaG6<tWA{ob1)~D3qTbnlrsN_+mNYmM)W2Y79^T}ZnhMK$nhm7gP<KMJb
zyj8wWU(mFOpa3`&_QIU{cc!xK#^Fo25sY!~UTQs?SsYJ@J|x3t(?er!_cKSsHZY2Q
zwNv5lsp2hvQn<RkMNK~#Ks{?e;zo&lnuJ#=ab<0!q1^FG3hzGT5t_=g@!yJWgm#)0
zowLHH9%4qyfPG1?yrqJpR|Edf7~V@+N&G)Ou6)$-6NV@E(soZomj3|o4`p_Ek4nKZ
zn|*L?$|Qp%b|$asR~J%PLT~o{r)b}^rfMx(%*+;OP9%?!?_Vc|YMn__lhNII9*#Z|
zsY*3qwTn;B&+s)>cP>Q&Qiler=~sg84CfBKGWr^{+gx<Pt{RY)IXFpbk3x-D)~2dK
z-7(^9ob{(M-rp}3Qcsj*aZQd%Gs&#Yu4=~1w++iw7xAyzWyC7&jueiy0hx|D=hRfv
zP3J<<=L|+SR<z{dB+->vDv)c)=R7NH?KJY2D}#dw=(V*dK5wOBLv=rf?xVM16p_l@
z$Z`+kTmE33vY22;QC_}h8BVXaTE<&5z{w{VQ2MmAoHtL;U+Tk=hAFEj?=g-&X}dmr
z8d7myG4y1tqykSOqR$zrQMY5$(xjR-E1YBLNM%;!gHGtDCYo0Qk~R+5#{z;y4WGiM
zLzVZYk<Us}c691{QvxY6xgwQi0DF;7WF<3-W3B-0Kn>5%HvTm5<+3{BqMk*GbGbqH
zHO$@k(hEE9Afs&^Ty(2Z<`&0NR1wn@gKDp!_pB(qVPkdHVH%FP>skIK@l~*~DQR>2
z!_yS`Uc*Y}p0lpn*}%ZCmHz;{Tm{~$XPvkT9P|}MuA1O(a#)&b#vQUoG19kDNO!P2
z#LQGK6nCkkjZ}#N1?iHoU;?O9PJnPoJP%rTD#ht99%8GvfI8H9EaYPV^G#c#3I$X?
zrlo1)VnUI-zA0D}DqSf-l?3CpFhL}$AMX0*wC(ifnnic}orPJt=K=&r1A~s#U9sq3
zOJ=GIc76?2TM=z55Pn{uR>6!(I|exeqWV)VkRTYwPh(msJ&gHNGv$Bua!UXzymI4^
zb56XCc7^AjxTuyOsxa90s!KwNLEJK+16OS=(7@$}=Enl4aHpOs<&4`TAIG0sLnuP+
zB;`ur16Eu#Lvi`NF;RkKy_Lo`jxYsWSXx9F`9S8XR=F{~hzJsuBw+Odqn_eHaw28@
z*&RhiHSBOoK4M#@D?%G!`z36$w>T8t;;t?97=X&lASFN;!4+x+StDbDN$*yp+2<@O
zfcHCxL08_+1WaQY=CW?(D49{&$PfVBdzvcS#{16DHuj>8LdeP^E$dEFBu{@zYN1um
zd8PY<KDC=OL`FQeK<Q3<K_~|}G~`0rC%rZ0Ft*WyMc+Z&xmE4NEtWYoA0S|ZSCxdh
z+&HNWDU8)zR_tc(AZG_Y^w}J+&1s|yj+Gg;T#^MB5{=C0m5cN_HFg^^d2W>Oii8gS
z)i`Vn9+WmxL|X)B2r58MK5n!#uVGCsoMNNoU4(f;D-d}j6+phzf!?l2nZT;@#e-E6
z7%at<@tTa~fi$XiDgIR~MO&)#Oh~5LE00Q&6N67=+)g{x@Y(=IdeLyO^=-H#9<^d8
zE_2eMXvias3Ysq2sCH$hOh`D*4cDGQrQEzz8w8vlDmDR50_1e4a1RHA?MwGg4=e3J
z0fE7xjSR-#ohgekN91*>H!7(M^B(4*Cv)?_su3WWoN_omwIZ_lMYEiCs2qd`nrukq
z@xbpxNLSRJSumq-0Mtt>9-Pz44&$0#qZj}IQ*OmvhGq^zwLSi5@VKaCO{AWc3r@qJ
z;<QTST)7)6;Ym5An5qt$HC1Nc(~NfYs{Ul{J{Wwts!+IGy`M01%`n1nMtG|qD#ifs
zO<)vrS>LgCGvu_~OAbvDDU9Td)uHpT3OO}<PSGa2y^aS)Rc=WmwO^^5OQDWPXZeN&
zKg-IHIttwJKZln_xsPEcHXZ9OG!l{rYF7k`W>tv^elhD>{vFXzh!#T$3J0xYUq`qQ
z7o~Rp01WJkM<k3&=e1MPHxn{j!TOwKf<$nqsP9|e74VrC2IB4_xag<3uI)ez$22P7
zlhh8?&gR-F4nU~94%h;tD#UX~GNHgKX(5Hxd16Ip>M|EVNIeZt7Ua)42Ab#qG~~i4
z2c-Z%siZgus5Ey38aO0orGR#(md6BAvtuArbDp%taUN5Q4wVK8sW$G<YEXn?n1{m{
z9F)(!NYgU#7YkEFtrGG&(JLgF9Sut<5ybnC2bz?^U;Jr_2wV_&spN30gfy;FDuU6?
zw9~HVSYUY=;3zCjFt)}fLyvP@=ZgGirRcGnd$|iV%0|e>PAjU78P}+(!Y#Mh!lhW!
zgOr_)6H@q(sYQDo(`ixNSiFT{1bpNU_1AbaU(&om71pB;o^5Abhi6=KTvWPaU0K=O
zXfh2%KwB`#aLbz8v9-GJ&xEG?KnZa(7G)i?U!Y>BVP#4bDXv+zqq|Pm>mN%W81Yr`
z@u`TY?-<3tjcw8Tmo$jQ{m!F%DESUTn(RC=bkgb3?k59*pGxF(y*63wE#M8adhX!k
zCbukZZuEO}jM=*)edf(@=5&3(G$~0pb!B^5B-dW&kCEbjtI1ZhT3oHSX74F9`YwlS
z3k6VVmkb$Lj%zzl)~)qBVI)L`=v4Nrc?>cu;%d{C8MsYZqx8xZ>Edasw552xnOU-}
z$4ZtdumC3%_K5j;<E>VdW1!7uZ?O4B_s>!5SohQ1-|B0p**}zVnIE_w)vk|~3VLR;
zF4eS;5L;cV0+W#&DX&W}P<3T>cV}zubHmN$IMI(QYA#7ht@&Q|8hj%?&Q|jBS<z1b
zpXX3Pe>Q-RZ7dQ=3ZIqNo-3@ml%YFM4b4+%#F^X&HLA>KIJjaLG<$7tOBuYLohd4~
zSvXI=_wsk>XV~gc-^b=g+;<0pD&n2Ov2Xk)CV3tS-WNQ8rvo(oCVPu3lVx=NVE`3l
z-jz%(8jy8x)4jgS-ruOHW3e<UMvgL_uctD4H|f&myos3ot1^9C$eCcbjND7yFKWAe
zsax2@M6H%?ioBCmv>R21*`#Rp$s=bct}7}uqY6&FXx(&O{{Z2Q@feBKtsFH8S?=EU
zU*^b!8inegF_swHs*bp=Ye-h!6^%v!r-xNIJ?Y^?bgp{XiB(*-Np?q09|;-~=ev}<
zw}1FytaoyMT4qOjbetMy?Z>5a9p@qOCd6In63QT1<%^WuGlT11XBUWPv4-9$bpaj9
z0MUpK5B|vlz2@T0ZtdiW##P1+YsnwM%cAQy15DAH`s;S#J;C`G>0f7(Vre=up<AY_
zZ_VtFp3Epz_NuKux;_5@L(_Dod#yI!X#o!C7=!DIxPDM;nDAb`s9!~KZK^^cx`D7l
zecXFjMDrEP5%P-poK+V>w5hv%wMVf^qMbD&oD3~Bb=m+~N6af_(~ORli>1f*>)9?(
zMLSeh_S`0aJk?_~lw$WuT;t2Ngyy~(NwxiXva^A=0-{#I>C&vabs%D*!0lWItUNFS
zr!?1G@+qBKtV75k^Fk!4ExKGT$rL*J8Z_$!uxSiz!4L3ffmVtF+*HMOCJ$3vD%B$g
zO+6n&2ZyC9inEWry7el#ZQ1QkC!nH07dYmTM&dmy6QG?6;8e_hQb#$e>xDHjeaqKq
z#WCEf%1a#6l>#pvX&OzgFfu5O!7aOr1Q}uXd8eVq2^nfw_JCNPC@M;lyaPa3Qz0aS
zz@|0`_Mq{}rCfC)fIRodCTO(;D<KL;-3GZiWym=vHPZOarEOudgpPu_$t-Rpka=-4
zub>sz3t0+V7+04!Hqx<BSzD!4^K}cIxXP|;q`83FkKf0z^}`B*WQ|uR02=A%O>9NH
z%NEeNwpRlr4r!iaE8)9TFRMpmft|qr00^wDR_^Xufr>U%BO?N#LAEy}joIZ@hk7ng
zr55gGjITI7MPXRWcCuzwZKu|?t#5J|l_8h44xO|qPWzYbVIOxGE8NwUSmILnz!jb@
zq@FXec4T!mH<W(Jq1=)WZuOH*Jy`Cop>{oC?pQ|<`4_3hSej#P8Z=nLpPM~vF4(=K
zyU>8Au@yD!?{^jvL6uHG9+i4t%VKrhyA)04ImjT?5?Gm>ot^5{n-_sxjfWhHP{F1<
zkIUE!&2DODU1_L^liR&zx@{bDTRNzkMIlGZeJZrp4-KjiGVRAbt4OgkHIpC_R_x$t
zPn#kTzO`da(~{OuCq85L71Z5Yr}lEQB9ZM?AxB-#Hf2#bcvCSqEyZ7sc%KTO1jS6I
zH$GVb6Q+G@J?xw2DBmXU%9D4{Ep131&f3?^kSCbL^sQ|$t86<$t~ygK>`d}=_Xw%l
z$gJfCLV?98JMK(Xi>{G|ETu+!=BQp6-IZC%$>al8R?I?!J-uqI*6i0yD{_Ef<F!gO
zdumJ&fC6K0Y|&Svwt%9Ldr?Kg-e)+^gM}Nav%HLYa4O!=xC4yRNPsx^H6|7!ibg6A
zwL;2da>un;kya)g@M$BA4xE~jwdxtfWMYyjfZ?iij{xSQYhca@G%IW|%={cuM#Z@4
zK}O|$DG4j`fj}X}KtA;hps-<6Bt-H}8!~u2(Xj1tuwkPBoDu6!bORiM1vQ{K^ri%C
z{M{(E^-Qg_U|k70Ib+hJmLkI-=8O{9z~Yt|7Tq1)i3irI)*-vHs6x$*gNmI~J$U+4
zLL(f<%}E(M{*;>%4XUIHoG<Zo6&rlVIOd)XR1TC3C6fm|sx_Ynk;Np01J<K-+_@AI
zKh4P}G^-&~&T&yD2*5nlh(XU@C}4?_P~HCk3Q0)LMMSH+pv4krfzVW2Qim}+a5$(~
zklYN@i8!V<PCFWQ0mVzwp<w(PjX_?fr4ns86vSHU0rjZnbVKh@8QY;e3W8@ca-%dP
zCn7;`j!KbG-P@Op7}$a;6;=<(>sHe$aoVeAacag}t0-N>A6mR)%H&mci~){-_oZ2c
ze<?W>rQFgagaA3H8tF239Anm{Es>n@Rc4Gx*~JRoN_Xg9uu(PC0yB@Cax2y#fqb-J
ztGo;oisSqZr9&z-&Y-fMJ*%}~BgQ&bb9&g!p{wZdYSDRf4o5;eRXsPtmR4to_mkAM
zZI7LRs{sNI1!v6Gfw{}vcplD4%$$J7?uyj4u!Bl~M-qim>DB<PKvKV~&E_-Xw`v8c
za0{QpskYXvEEd-e=K+3STDGJBdFG>ue7q>>Ph-Vo^<XG$9<=`eF!aY2Ul|1EkU7Nx
zaqhtPr9~us)ZMvknv@U+9EvUiFbmMsQq6<jq&aiNM<V))0gT=VqkaW6j4mmJ<BU@g
zChtmmlaG3Z4r)Qbpb6uUu=$Cgum^!m3PR`BjBrkQsTnFt0P9Zk5RuJS5fU>~EJFa(
z0<VZ6g8NL88E!txtTE<>#y=YJMbU5kDXxEOT@kP8fp&=#4$+ULbsrF{<<vDhOF4YO
zU{t%5?tKk;?vOQ28sgowtIynB+!+4LA>0Dz75WxUg>k~R=B*{OT3h@}RP^*dS1_&3
zT`pJd^-r&+&1!YN54eL`@tl|XO}oLTd3cnOwM%^~qSs?SBGsd@fd1+unHW}$^V)b{
zLoTtTQn<-f7|T_E0^7UV%XuI>=3;rSSyuNanJC&Z_aS{-ecS6}%fz*b#6u`jyO+H?
zX=U5W?A6lzJq4`F`DSJ4SoE#15@lpP_@s;hwTDjh?=KEW?_V2J5mu|_sVlSYC}C*f
z<H<@XBbn56cGG2Bt5smC*>#NdA4=G<)-7%mDKdkOLmUxWP^w200&-i{xxWy2b_>*b
zBVDrNji(jrQmsc8qe~XrYiV!yulOg4TMdZI-0R>XntQ`-d#1lD9S52kJc0=JH358#
zRu_kLGU@gyV=>7X$35$0E*RIJiNi|^RnwQt&38Ra4l)?(F{=-n?E0^fGNv$V8^!Im
z-qJvD>nh{ln&@I>@<=^vJ6F>aSg?{E+gNg>bq1>iQZ%s;oc6w?=2T~22~wRkc{Qi0
zdO?WdKBA+}TB>+{<j<!0Qnu-$J5GAlo7OSKxkojXYEF$uP4qf&)s`ZRYR9S+w<f6S
zwh~=Ll3Q(A(Bu}UShG&$nYwnZB>7jTT2$&vgw&(D9eNPN({$&vFl@AjhE=$_{q4`L
zas_G@+<soQVsJda_Nu7J1c6GeY1fxL**JVPJS;gWuk(JQ`9ppf_o<b(^yyUPln}q(
zr+I{o4r?u0(Q?d^E^0M!&wzQTFi$3&suPj-jTQo1tFIy#a5J<M#d(gg<LyIJo*O$I
zwkBx`dGdC}dRbhl2arY$d8dp%8rZj;eKqXRTdDI5XnG%N_wtv7RT{+a(@XvbmyY)Q
zsnOf7PsE2szP-@ASr(shsz<3Mz{xxYQ(l^^vM$e2UOC~5U@suJ()4F!4TE`d+>z=l
z*e%%X3`PzsT;iM|QW9I+U6!lKY)%4BaFTm;-Tp6fmY;F`k0h%!QtT{9aJdyJ)o!&H
z+iZpid%KQL(zHy*L<&YlFdd9B(!A+n;U?;Gd(XbB?lX=8q#~&*twD5JKTGx~+Ugf^
zT`jfN*H#}agMw>DPnNOuJCqugv}A-M=G<#p8D(6D3_Xo!iH+k5ytca5+ZTbUY1E+Q
zepjX5yKV9spyV9!R%86CzDDd-h`}Q@z<UIdukSsnk0J98YGjf%Ok?J#{HB$+9t8uj
z9y7_QBaG)g1t|b96)HAJ2Z2m1MJCYP)K1)hxjCuY67Fy^Dj30zP1wm4fsv|^#GlHf
z5t4I^=B2@q7a(Sk0tW7s#jzW&BOH5Dh9inkGjm|m%KkJ6jORUgpt`8*l6^Z-BOZWa
znu8P!uJ$n8%e~`PBe@kK+CvaKVo-gBN)J3&Gpl&LbnBOaq9w;eRIc<wF+L$#AeK1+
zQrP5ImTDI=U0nH5WR>hIxz%sqRGFoe_3d0e`YpZdG$#Za^l<3TWcC_d(mK4rg&mD`
zR)Hk>4lo8eu4>ly@^uP0QQovI)Wk~%CA-t8oV1f1T3aJV`V{~SU=K>on(8ZNCnG+B
ztV1!lxboglm=2XzT@k$YX%0cCib>i`ZQod+i&q9M+fQBvX~Q{^CEPZX+Nve2Ef9<i
zyM1cxHlU_*eX3>4&=vZUB#49eovJcSH-2iq6C4UjEz1+0MM)MU{oAh{0jW(Tp;pwf
z_OT>N3v-^;4A;v847bjEQze0*I2;P9?HfPbCPCcvrji}ajV#YBfv&cs1o4`+t|yfY
zn<Q0GGK6(CmmTW}6(k#oIUdz^CbzmGY4TY(3)-uhTy}OS+Uj<Cdqp&a&pVB!ed^Sg
zml7W-GO@oQb5P4^1I}br027>IoFxYBO7u~TQ6`?kSL#-Ecv~(A$E{hmb(n<<jC03&
z(z$_dAsd&d;<D{k6&gXDj<q(rDd^3J5TYCm)mxjZh~xnw$@Qph^@(GbYbVGBTc1#g
z<5QE9O4c3ku~J)^CIMLOVblt<X3XeNE_2s4Ps}q)z;)|WLqCu{W6z+as1IwA6BIlV
z+cZ;rfiKQSC!Vxbh|2^P`cZJCu18T(wpE2Zuw}ulNz%k3K;SF=?|M?L2^h&9l%7`U
zR1Dx%rvxrf6kftg;zuAj&mPpRBE$*D6y3qN#Yc{E-TG#W6MbwvO1)20+M3d2{Irj?
zyK_(#Rp>}Qv~E#h7_yLf6(S9oz{#qMIab4RJw;0-#{en)DcP`2#ffGldQ%oq=z3sx
zs<Jye;I<FFHW=kd@KE#AniOnTGi2+vBsu34=i1S*JcH{{#}?;1n>p=P0<3Z5iXP;Z
z77P)zU{uSDg*;Tze(>kDMKnyWkTQKL8`Pw<97a!|6vrEf27uej{Mg4)QeaAWKb1S!
zOsZ4m$sCH1fwv>_r?g}#1D|tINDl)P?{Og&Msv^(w9z1MxO4QU76A@=(H;VTqXX8O
z*HGA#9CfD3fBkf<aGP<-^{BFV6$?NGJu+$LQMhqYxgeZ&r^cJGNUF8OGE`&Jr8Pkv
zYS!-Gr9~o)<2W>2WKv~@G5J#?iI4%#D!_#9>%ggeye}s-Uc%+M2~2=#vq%wn;Cj@%
z3E)&WcFfk~9u6rj^(w*_E(dW@0zAWtt)@!pBSy$b9nWgKn;uL8Ip_^*CCcnd*H8q5
z$4>Psr<g!qYR#^m_mc?XT(Rj}dOw4%-ter^n9+G8j<u7rG`)@g00pE;XS8tr!LEX1
z+MR7>Z*2%z;{kxdAY(Mv0P%{(`rL=92%IDHR>S$qF~F*lL7qoSwFk+8)`#4c*p#5z
zfH|ZC<-zS!1CiKM7<It>Y6>B2XVQU7(~4<34o^w|aZ|Ua6vCM1oQ@c0CkCEA>Fr1e
z<5ED$slHY3(yPfP!N*EM#k<pBPEOKD?@-8dPEt)0DaT3>h&jy+zM`H$U#%eo(Q-yF
z%4$G3q}$q@qiOb_2Q&Pj4k;Id$){u<;}pQBKC~2AiN{0DN2zLd))unJ?xCYn+jGqU
zc8u4L{8QAlH`Wph%e&1w^~gn)LkQ2~(!E@>1hLqKN#EqJ_#9ZwOTyB16~1o9=<&|4
zalYnl7thmMAze9adePxMC&S3|YjGKqVJFI%@Q2t{4I};%KMrZo3p=YVZ%sJI?^Re2
zt!nGa`kdApdPX35$Y~LA$FEBJ7*dC|`n4vb3103k{40CK>Ycq0k;mgFg~B{kla$qz
zV$%4fqO)BH#jWp+^)ESri%yLEqt?9&#w4<~ND)9)7^2F_EG;9qjX+dfa4F6}JXgzR
zd6(AtXwqD?q42NO`Loo?GF6vzVrxsDy-j5&`7X&86o7;Zn%@qmo_bX{PV584Ul5Q1
zkDBmLt1Ga>5mABj^T?^LBPh8&O;j#(*O~yWtZ1U@HJa7Dn}z5{dgpX)PU_QDmMuzR
zK{!#4E3!re4r`t9c9S*qJFUqsry)lfub{x<<2e0O5pG#%o8CV&<g;7^=}YVQJM+g^
z6?;q7cQ<FcjZk2Xr@eD`8m^&pslBeAQwq6eHJfvK*LrMPbZsZwvI8j?BD#$mLytza
z%7SKb^RYQ3{c8TLPc4J3U2{p@MK!1Ry*n8Fa;|eY(8D(vD>+F$f5N=`_9*yn8|1&Z
zn(;yg<Bo^kx>san+D1iJ9GY+&2Q}nku`d-<+BBBic^^fA!bbx~*v3v;w|BmzN)p}3
zMb2r>JCFj5(8yTv)}Qjn868QkL(mvl$loyHn6B}w15XSOK}~P~>&-Gs(jS|edhonc
z3hr`x)Sq`4=7A1HFW03jCeg(?1_!+W1~?|9VktPmHA7m{7gf`zw_%X#MP7bb0n^%*
z$O9FmB;h4Bx+Y0UIJ3-b{3+s9v=)<UD`{sDAw)~_ZTi-wm&6S|!2O7sZiF8smmPuk
zuEO#ob89SW*e;|4?~3tr;Y*t-rLs0R@y#oe_YiX%4^v-Xg{ez4Q+TG8wo1!=-<jc7
zjZ7CRqj!G#`Xkw`^%ySUNg{Aj#zD_ou@ea!Zb2ipc>a^2Uh6umK?b8erH-7NOR2`@
z_p3MlJG;@We$#Ig+|MMU+8Gy?VV+Jq^saC0M>+CQns2t&zSn-5n}2AiN1CK;zsqyg
zZfqdA{{UMUVmelJ#e-RX^3|Df&cb*!mOd!6crBv1yNWxvKul6NSI_&Wn%Rv6gFQj7
z6;!Q;e6McLW^`4;(ZsG~tuE_ySFxFHq7RS{aC=qgaUsS>;aSq?uumZ>?;d)DYzkr0
zCbNGs)^`j)h0Z~$bnx?j?CpMyex@q6GK^B4K5K5%)%n~039j*MJk-Kme4qd^S(duM
zGbA^0wY-ObTkezft2b@3Koo*8*12lZofl~%(V>W?h)vUbZo02jNsZ6cW~|%9t)1Pf
zjBE(!ij_w~r;hcB(pi*<$=lzdra}RJPZblE4UFVcM#eLd*WQ39ngY4lNflL<h{GHT
zx{?x@V^O?Cf$k^*nNX^G;-!VbT;h^g_9>->cO?W7OPuDA9(kv_6W5wxLDrD$NrAT_
zyx+!duc;hh5G&B8nBxFf72<ykUR>Ng#6!(eGI``yl--z)L8Tipjt6?pdnhDxDIM!g
zQQ~HbMaDQFj%t+g`C)<OeJidltq_?IXu=gvGshLBq-h3MLfnkzsMx?RBpYx5Ju9JE
z#j3BCa>MUnS7ae=S<g9NL}ThU(b`|TDC8cZt=i7FKrDnV2U@RldmZ)b72tZBib(!^
z2E}t#SCOqZXp41g=FWDuBOH@gVs9x1&<f(43J)V`>FZ2Q>E<9`kPZ!Her*j>u{*dC
z_U5F8qE*YCxUA2#9pMNd(-t`|SnfECa0jh53l8SB#mqNKyEr3^)B@1JrQenHsG`%@
zoJYaMSh;Cpu-P}v4;US3C9RNOt02IUK}<09s}U$f>Hw-UK|FTqEkMVATDfctks`Ov
zAnJYTyCtBLY_QSqMk~V(#;T)~m$5nKwV<{S69e-$I(4i`SleC{L?xKxr8KXi2cf+c
z-eP3xalopJvH<a@1)G|#sP^o^&LuqO+N>ys-wyA+$n8@tG)1j-Wkyn$BXQfuN}W+k
zZt6z>R8PL<RobD3dzzjZMYP3aQ<Lq*J85!nsR4@OP2N&%>`gK_-vn)9M+DZYT@8hg
z1E4iZJLgHCp$DL)%vFh^vwtmeIr`C3rSmF)O6H1u%vMGr1=JD2q%0y*O)k;^8LBt4
zFm1gCYc;8xb}mIWKz95EEYt4<FQrqKU?NbxX{gx%lT?-UCiWc@u#>J%YU`5m=NLJv
z2r%TH1znEeU3nP#(_=$|DO~q8S==Ye$0DaCP&YgZ&yry5Xt0|e&Jg4r)vJ4e!vqY~
z05i=>rIkVNMTL78*oNth`q0ua9G%0`tHV0E0QIS)m0~zG7S_gzmFLSiP}JiyM}=%K
zrb#N6$l{|Y&OrvQ#N4(nP%Z{k(dM~u3C|qVD+p1RJk&ABS(x*MIHQ*3Ct~)+U~|{n
zn1rN&4&tMVetvE#WZX{RI@H?Q17xix3F>oAGH>~DpL$?d00YSGY3UIp;-oG_(fr>x
z091;=a0Y70MPam#M|!H?Dd2IOQ@z5$BT@_%&v8i0)}Ie6kJhE=ibPTq#W@aeNh1_U
zn0$AqtUv+lRecGy*rbt?4r#2w^&E;vY-Dvbz@?5`@}txVi*8<+G{Ye)v>a3S05MUq
z4WCb1YQi58$EiNF?ZohT9`yp89u6r>9P`K&tUHq!)l~6<dy1P((IwO-1~|(enWyQN
zX{p>KPX1bx*1bzf(_qsrks?u?a^AHPe51KTM)1YHl99^GnSkV)+Vh8{Bc0t%M0n{~
z?j}#>0H>a5pD5?9Y7%+oo4A43B7`CG?R+RWr$vbH0jN-Jda>n|BNX3ZF65=a87F~J
ziFZF<X-bC}>q0~kvy7Tu1~{(nw1zM}#XPXjH0H+9ijj=l$6<<TP;fI!&A{ia2sz`L
zLn4|IMmtiV$6nPjJe<=v4AZ!1At0#0#UMBw^Y2Y*GIA*lgo<KpM;$q!bfhDiGI2oy
z?aqB^6;5$aOcPcjiz9bxMI=KcB@_}yDWeC0#aeU(_2Qy1jC{P%RgCRlQ-edYd%MT-
z?a*bKxIYkh$H98^Nj2<ka;f)N#7M71)ikIzn;C5G;}S(8?I72Uc%#F&einOuF`-E`
ziDm>&SCk%v*VbfoFxBO0NvetTcGIoA{ErJVsale{NyE)wUq2!G9+}~7OInTWMdh?<
z`@#-ZD(*B}`wQ<GmV$WZRg48Hz~hR<_=&4oX#Nbhv#=2@&EOG6R1A?`VRi8Oe-G)`
zTGf`TKA$b5JD7*zn-vwaI@Kj!RMV6p2Ah<%S7)b7hp<?RSU6&9s&#7BP6<ZpT&r8z
z=&tuZqLx97El04Pde<fJn^DxYe+5`xYOUs7O1a4x;=2~e_OFwSxss9V;;_#NUUVeW
zacx~~p%?QNVjHImih!y7DpZK=+$!IZ$W0(;Op}_SC*K0Cvy!;ZYP_lQ1JF=`jaMs-
zb*Hf{)|Mp62BlIuVwkr%Jx0<kBUy^^7__pTtexwsVoYnE<2BBBfC#mlIX3Z}7Os<c
zkyq(n&Nh7XC`wwpZ}ZW7kDSXOsp4@kinMu_o^4&fnI7;P6nWhGib+6>9&$}X4>{tz
zZO@`*hLes4DiXzwNC;7b-i^4XArRmiYn{Ual*km+OO=qYJRZ~lxC&`djQh~wk~rp+
z07s#z0nI11G`{2MNO6yPXVRDw?#Dw>nF->WGCOi=L_m8`145j2rz(Ou0Op)mXr_-!
zY1k}hUif|)EG}*B@o(pYxznw1H+~Ylu<-?ejvqeC(g)bykGH9>QeH+4FOmqz!LLsb
znAXGHZk_k@RyeC+VOHHNeC=tY-7;L=%Pbc+vrIrqiCH5#;}z|ib^Mwag;Hzg#F0go
zIrghB;f*!!#nH8o&IdcORJ>)OT<iL0*x+#*u^YaX>tgd7S&Zq^lI4x{eY}yyLkUv}
z8BRL8XmMU0)ioVT*6&uf*JIvXu(X)`p+$DSAMwN*mW>6?%9!P6F_42Gka1iujQkO2
zqul87#Tz6$#8U{#0fF_Y@8nxMo1g5`BC^w>$Q_FwYt*kp4UU9mNqkzTWUQ8!y58>H
z4k~qPVWiahZ`S>9ugvuuyD_O-6(fQ&GwW3BZVrCWC?aUaIqoYG&*CMr!({>e?Zk)-
zg?b?MHLIuik4)8XHbHS4&C`QlGb$D6)0H}qZEl}$KSp|AyQx|==}jlI^IztTRmrJU
z_Wdbc0)b5FUP0?3PcRx)aC>u5bDDY_ka0+4ry++Ga?()aX&9=?cMd7govqTC$KN8L
zJ5GJ7l1@}(7&SfD%-)p)5R0BDCGG}b>Nuvc!1kzH_k-m)r+`2iJPIr;jaYZdxrrvH
zWy0X|O=bwbl*wJ1Kal2)!1E6mMz;FIn>f!VxvQI!uBUF~?^>QDmRHs;Jj{-GtkqK7
z3hsmDvnA@RO9Y#wSs?{Saf-1#g<BzsBy&;2n9m~>F-0m^^fhv*<S4-+yg1GP02-XH
z1TSv&SIvyeu}%rA9%+qvT$+ZNO2jX7BxE9-p5~^vcYD8^B{t%nZ*AuXC5G;xQ{4<f
z3jN|aqd}$ITc}iR+Bx^AMq~FCFn`_UxnO(JPD3u_86C|eSD6CcnI=u_QIzlpaaJa8
zK1>jHgPNu=&Ph(48m+S<E;2)7nx@D|f7)~MDZm_kYHJx0r5o6;4^LXkWhmJ#idLMi
zJ!&jFoAX|z6BR?j9epaQyl}fZ64D;5YaL}`+nCkJFO}4<m(TaAwF{PAzR@@`w_c=E
zghE*k=J`i@h$vMuG2<8m-lIvfr*{of%1qI;SdGEi%PkjZB$pw#6Wh|O>GCuM+#uX|
z$@HqahM-zm1WHEUNvgAZ1G3zh&UO?WE^0KN%8^de%ufIcWxg&U1e|A@vu$*?qa+5$
zLyA`J7ZOOOXCzwZJ@Z9gU09U|Z53SJLgn)?8s(9?8dr=?p~%6fYz}fxYEu`=Ijl_e
zAY=kE*v(W&+W6=zL2xn;dWY=F&z^DVR-LyM#xw800+E=42c;>2mGPW?De}eTrg4__
zp}xbh47<vXMsrFcINgCw-OoL0Pctcn7!_9%7^n+Vp9l^rFyA;Itt%6|2a!k^Dq!Sw
zrZvM7RH@Hw)S-aqp{6sd5ON8oA|;iJfJIvf*-_C&Leiihgu$jf%-r;)xmqIBpcCG!
zv~0QAoVRLKpDTvX)~1HyF!((xbw!k?l5`<L@G51xeY~kYg04*Q%$#)|l}*ME2A<-2
z6UA`S;4+m1u4>Fz8^OZyR1wO^j8E3IP=q^)81xkqU4k#T<1mbJ57w(C!pyI*XBA>g
zlq-w^O)>~TUz7n-m5bc3yRip~Xt~2}!K<b$<d8nK3qqUsU{zf*ZDFcQ^O|raSdO&N
zLIOJ)jyXe?+HsC4q$gqW9mkHMm<cDEQULFRK+bX0Pyx|-rZFqWV^Re;?TWpkEOKg*
zB&wz|a6zWVQ9wbb1svCH;(rWAEs|>}{mQLz6GJo-o#@H+s7~NMIgAo31B`U9O7Nb$
z{i|oSup~|^%oiP7l|GfJreDjYOd8#YEkvVmJz4&=&DB>)xSsOCB$#2ys{~@X#5I_j
zXc!dk{?z3gjR;I50eR|b$`VIPiBk+c>V3a04UG*yEej#dCJ%ZC2d5OSF;6EnssZY0
z#M4>3QURrYY86W7JPHBluj5UYLO2u(;ydR!s7W~|wJG4{hCFoQm<<M=w9JA!Vw^Yv
zn1_**O=Tc)N*jz*i*d~%4OZHERfwg?#&PXXFcjzq&GewOOaZAEj)t4K5<65kcOur>
zS#h0;O$j+PklV7mIZuc_B%48&z@U*~X-AsqxdCf!uXLXlX=WsnJE+}x0OX4DTmJwN
z>$={r3rBw++2xUk*$iqxQR+>0z5%hayoyaq8&PXGVvezswBx=j>~VM);V^KNw48dc
zH`ez1)z6=yigoMBEn@mVF5CVmkbGH|>%;yu)4c0B&WmWdNfmMfRgHheT7Qf5ogc%R
zO~|;LP@R6z7pks#&3f*sW}YzDqOxe!?O^6ijDzi3_P-1KJEm(9>UNrJFkZ*e&|<!O
z8%DMp45&HZ+P-NkYP)OrpI?*bId(G}41G!sPYD-Jn@`<ucHCOgr`0o8NU)1a(`~H~
zZAg$P0<B29x$R0{c2{rXO;QGH&Pv-Hvy+^hrMnY26ssbzBX|`R)Bf!9iq2U%HKb#6
zCe2a^?@cZJ?rD%oy#+aeW&jF?wHYjD1B!;`<XOQatTGg5ijfX7D3wQ+LkxmD(}k3i
zlDZ<IlY>xpXCtBGUcHv$X}1M`k}UMDw6H<wYnSl+P^XA5La&tn0Nw3f9N-4XIj?s(
zcf=&Ljg^;V(enH|8(}3W>pp2IKJ7jK0N??A=bB`bCAu@a1yva&(^ay0t~26hu{Dm9
z_FH5!&vJGuDdg9igu}d5c+rnmeHD7jg*Q?3I;$OW&r>Jt_c6_bkClO~A&h3cqr<u$
zn=QOZZLYMd>vi1j7=YO8^{&6e-X%+*;%lgkWbKHa3B`IC%)L=^_ARu#ukyNQEeunr
zm$XSY{dGDrh1)seo)e6bfGB~~uI%J?q>;-WKPvFgL}_nMv}Xe}fH!eSX@G?8=M-`U
zI{*RCG}h-d2t{n3O;|zRs)Zx1Or(L=6by58G{i%mYEBP)(VTrLHUOs`aZcUe)|v-X
zO$QVKBIE<bC_K_3$5TNEKGZNGxU-7&Hq9Ek=RYv%SUR_ZZSORD>nl^_HO_ZGy>xuz
z6smTQQ(Y9X6=<~KD_c`J(uGfn9%X;<@BR_L1zg7jjd6I(hnRBM?~3NMs2bW!D6DSc
zm+b!ly^)F)b;nRmdx;`IRDeP14N;rJx_q%ppJzl8j4?riYv}OV<kTe!>zTKE>DN!g
zrH>-ESr;Vf=#n{a2T$S+X5sJWxKUv8oskjF+~T{oUwVSV)*U*|J9rmtQH`Kf%t004
z<1q^pRmw3@T@qanQx8eff{dNm5&*>@9RTY{0AeZ9ZcuUBxQ>zHUo7%*P5W48!tzB`
zKxH|Q^z^9_RaoF--m64S*&$-jxs4JPW#*LZR3w^$HS^m!J4GAn4?$#)aLUu;Q-Pk;
z@GvRifE_5fSZM(8d8U}aL$j?+7xJgF05T0B*z-+)!n%ds{IiI`L(>(>O9R_T%D}5B
z<Qn%V?x2=a7WHTT?rYCHd!dU<zqCYtSvexMgxk@I$0j8%hp`>%6r6y{Mn_{pw$9(3
zJVGQxo(c4=Ky|b$BYBwm3{>)uFqKiyPALRsElR6k<AYP!#L%EE&#9+%Yq9wvEj|+z
zg<Cux^>XrPpkKMY&!=i+%7mE%e8aU>jI7cS`-1nR{pWB>+6{{{J`YN}<RokJAHu6c
z83DYpk`EcA%)V~d;Ev~|J6t_S&E-cBQn=@+sxDc93V$DJv31VyUmRwj-s)ozru>ha
zHAxEOA|^&0?(dUQ81lLAQd~nSfJYv}lNky>i@j4Mud#_a=}%eKG8A%sDtC}7<Dsh3
zfS)j2wFn-Cq`3^+TO%Vlsmh=Ls3pDYJ}k(}dNwM|Qu%BnVp)%RO<!TB+?-5YJZwU*
zVk$LXGbnjZgqm4n3II6fp;mJy7-B!?Qi^4=sT!&;%7T~4MqUWbM(!M7o<$^b7~he_
z0EB(Y#A7(3v=-eYP{a(HDf1xZW;tRoc&DVr(T+G32$8V6m#tV4C|n+gy=Kgi&oNjj
zH1%<wxu-3%vhB`AIK;6Lj>3^v6%+%Oq>u+f4?#|68#C6U3~|%*q)`;m<b0|Ls=h-h
z!QfVdk`QMZ9cn2`x@Y*RlVr40Fp_vQyD`b7bF;lPFejcxSgb0<%z5ifFc9IpRN_n=
z^ruY0m(bCu%B>jB(t?<$mjv_rQc3O7ngRyh%_;!g8kc59NW~_@yNY75G*SH62NfIJ
zxNn=kN|G^#1P&^BgF0|4H+06eMQwq&^r<3=&M<hUASlB<4M--#e7ULuRg5PlrfIg3
zz*?^*#s)FXK`f=z0y(MWzT>@(5h9h&cpmiwXC=E;MTw=rEJiwkRt$kt2ellw8)HHe
z-qim9v#d##UQIGGNG;l*z1?%zQf-K6k0X<eQjA6pGf994JxwWKQ{JWAXjO1V2U;Nv
zmkR1|LCC1*oo(XWLCL7#y-9oE)hM>EJKICpbSsaxY0)zf#~3wN#M(;UY3{K`44Cxm
zRQw4UT|J3%K|E%<VgWqYEB9rfj~|0ilwPg7#>>tzis@g$mo}5bEGK&893Iu#ojTdB
z7G{WV9S$nogc0pl>NW*cEd{X1<O+pu2{=9JZs!UD169>oj{=-lnu9Ow`FQC`6Ak#q
zFcW|cEGOnU9qTa@vBL_GOOa6S8}NG5vDDOzla@Tt-*%w|mGhoGDp1?TF;8F+gSVPt
z&(fVE9+~2zEkF)N=hmAb$>)lCsmB!3q?$l888oa54m(hOUZ#*g6v+^bVwZIxIXx;s
z0A6ST3F)4+bs6tLBaBk7%y^~)(Kk>OM#r9NKsE|#8;@SJiW6za2b#<AE%nZwrx{_k
z`%3=+8V<OvbsI8IYVu!+SK|8cNvG?LZ6sVtZVmwz?BzH`jKxM0+tJ(SW6#IpKCeZ~
zugmopPxy7G_^$Ew9Vb$f%0|eR6*wwSQHt!^)(->dDPeBgq<@uj)RW%4-@%gF>DQxD
zu+*ozyMLAKNWd-m*QMz?Mb@QwxB92w>XCL@`rOVEqctp5M(IarwP`lGcWHO*d}TaZ
zug!+QL-(@YOIXD{-(>u|n?4iLS5C9@7-nfcW@Fa2C%PP}kDJz^IT7IvR~whLet(Fq
zEJaCGp6vU)CK?zzF`-RpiBACMy+%d>G~f$$?M-<Cf-9XJZJE=tcPF(ZcI^EHTR<94
zSBjL!x20{(Z4nl^3=p(mdagi)n>7{~0iI1-haq!{&RUj-OKzyUs<S`KgI1iDT$5EK
zf!i2TMI<(JTBWVcj-uE0(TN7!74B*n{9HeFvf9kEKSc^_s5Y}V%jJ{!Q%;Q1uqF?f
zbmG0pW2nvwII3LDXqt9*K31+*il<gpFg3Xpo!V(Nce`DVd}~()iTez@M{+7S?X>>@
z5Nc4|v2Q-#q;1&!D}9v4O0dBmwTY<dY_}<QW&+F(SZ4u+Iu&r!lZ;ohlUh6eckVjW
zvAA@qIr~(es>wf<yAk-*Tn!pzvxL0Te3?<m2d#O=pW)%C-ds;~k|m{tdr^5AZlu?%
zSn7iL%u^?oF#ZGI=~v%Pf?IhaWC0`?ZYydy>bZ1X2OBrn{JvXyoj%HzVQSHp*KhOr
zo-L((NYvwv?h6<#A#Jh3>G#xo*F~!QNHO?}O@$1C28+#^QFGh9Xt#hG+FvR=p!N#e
z#4McsGhDr~x$yqAs!x5VJg+z@Z{@Dxj>Fo%i9EX(Cn``)r1ZV7eLAhyuc^S+E{&r(
zSvTvq`RsbOovd4G)@gNbC}^9Zt61Jf4<5DQ!%>z9lS*iA7Ih}#MTx@g2e&n);XfT-
z*;&t&lH+uqTnQn`&(^$p`3*%GPK>UvqVjucchk(_bqb4L)b<<<A8KeDxvnEh@!jKV
zacNqGiHdm!<!H`V71MZwT!X{9T(`65YLB`)pK9=`;H%Q98ckixYio1Ujv}1k=Y1CD
zkWx>zIPeKQ1#`Y1@y?&Egiy_IGYt824W_zAA1-?4x$97?hnFQ-*_zX-3agq9=#C~5
zF(RZRiee_-M-<|vzLkSD6nw|pl|~zy0Km^m8?_;i#tEc64E3hulfk7e^5TICGQ&8g
zo-@rk2_H&xA!=Yorx`e-%saU>rE%2L4g=E|^*B7x-qglE)PppHNTWE#Izj^EoKr)P
zDUL*>4CGTt8w6pD3Xn&}bDE7t8yzZj`G*t;t0ZkBjPRqiT8(z7z`&&B9z{EN1D@12
z2nvGKHW5uQe(-`a25Lr$N!-tc9<&bP!zatnO6L4Q;!zQMcpC?yVOtlPm69Vx_Jmg>
z1Df+qMrB)<P}`1r)x~uw7n1T@H#aLT**!_Dy-Qb<QIPMO%wg|PPQvaTti)rms_|My
zY)c>{p1H1smAt{XeTe5#l_HpaQ`CE6tj^1~fG|7N5;EN8nL8E+cBn0iw6_GuwEf>v
zS@X)UL|MC5S@9DfDi@D>rA|}Wo@9;JQqBrwRpo(1YFOYNwa)3jBHu7sRAV)-E#ICF
z4i<+AM@BUy_AFc6#ceT(PD^q#NpR*;M@&^H)j`~OVcw@#1ZBGW(rI)WcifG>WW%pL
z4Kg`C&+{&Ej8feebts&-dXmZjFeG3U4yK#Egtred-A5dI)M65jT%3<ev_eR&gUIQQ
z^-fUg_yea}l-W%QD+V7b<a*Ol2XUHnVk`_3K%AiAdevN;4M_PURLZ-4W7JY91C#kv
zixymh03E4ZEn+uTV18_$dJ;}TpVosfw_1e0<Hu1{^(7W05*HhIUiB`{nKa1cK36A`
zQfCp;Eh5x+tcVmS!1ki6D}bVkS_RogI9Z%zlC^V&!hkraNh%FK2V4-`G3i;oNlL_k
z>|yCmnZf8rO);`F&ox!#E0700Gfg0DxSL4|ItocQ7f`(_oKLZiTBlh<DPY`+EJ}A0
zMs9o6V);FCMOu-;UcA*vz;MSr`cq7AQaMic;M3Fv8787=$!;n|LjM5Ps1WVhIqgm$
z$-wJD3cY((n_#Rt{3%>^E5&L^1e$Zk7Ob-b`EmHvCmVt7O)#*j9!Iq+KnKjU^Y?JH
zn~vNLv;f7%Ph;s)F$NyEBA|W2vy9TK5*Q!CrHvvcU^&eoY>ov8nI}DI%)3TKRfrJ|
zTAo)pY;Y<#n`2~*)RVs+-jo!FqXD^x;ZWzyZ)$IxSSkg_y&wfxlRz@kGOFX6P55jM
zhMJ5Dan5OE1%SZjrGVxo#wn>8$6Aug)@#`|M;UhXt261hPz*FIG3`<YKCBo<fSxIu
zMxJgZPNye<QfiRMKm|^HE2Z#0i!IcM>@bRRn%|$2nHIc``$5y!PSYb$FvMimh$V+k
zXbZIh`%{Ji&!u^-+|Yt`Vxwun6-}p;I4#Jl*Al9(dRA}+pN?{CScsAvR++aqO1`m#
z7y_0h+5+P>H<!;eo4Cr7gM+nlYd1*Lu5PbpiQ-j`GlJRXw6z<7V{Y=dP&gj7TSc}p
zM$^bYdoL!v3Mvr8)TvS_-$m=!@H|XRs?^3(rABQfcPn=3f0=ebbC3l%j4e3z&w2`;
zwdJ1JDv~<Vg(IBQd)azX^ASJ}#^dQsWXn^RAo3~w>44C?ed(;&Jt{{8E=@zbtsvNI
zI4zn$-<2U+0Opw^hbNkoZbdOiT9p89$25kBn~v0|JJZ@W0P#{q6K&4Z#RIUZ)0$}@
zFgW6XPH9ADN@;<c;*EWDEh+AH2_!!%spv`RUTvva>ekGfo};DMUD?P%bdEeagYTO3
zUlRCrb^Sg|SqV^jFzjoQJ{;Cygj!zeX!?3`LHooC`n;;W8Z@4%O8VaSx078@6CFmS
zSy?96OIv?Cj?=XLI^V>W5?NX#G0K7VsOesl@`00IH+bjcE}P+PUK3|9c7&{0Bak!A
zdk2C3AZeaBi3XoBnf8L%918REd}TaET6EOz;}zEX-TmioNyC|z3kh2=twF|}N|Lj+
zv`H)aK8ITK4%|{K+>D+n*D>2#C~J$D;s^We1u-VDk|6NiM?N})U~yg@k4DUMO}~IK
zP`Z+EPc;)?!6W7=6rns2YG{<m*`|qpWYF7=Gg3N@-qeFVDIX)JG>Q^N0CcHsn91^<
z1yyiZ=A5U3LBXI4fkA8@nXOw=42S}PwV7zb;v60rRl8}L+EKfwtx0K{0ws=MS#l4h
zU6Rpo83qP3RqgI0bzP)6_U%#YT9LE01$v$-lyW+hVBSfeUe!(F8RMl*ET%_hJxQqd
z9Q3L=*_W%>d9WFx7@9wsNZ{0#n#5Ojk?xcvfPBhNHGHVYJm<A%-)J_sYDtVMWA6&}
zDAuJ?lB0;dlhLl8UWbQ>!(u4bc#I-VwPv1|?EOnS1E?VG6bMwGnL$3{v7*qgAi_s_
z;y**$ohF;9=V-jdez@kX;b`v)>+xTq5y#>-sfLyOnrrh7XTf?_w>O<}5AU|^E{s&;
z@U9=kT0NhJMXj}=HsUt(5@|kV&!MjB9STCH&AXAD^*O3qmYg){Rh>T5YTPovIImv=
zSCVQ9yOQZ0m&)g#i>p;f+D?Zm>no<$s$Y*|nfP*-`sTNJs^0~0pSy{baHM-we-R&0
z@i&MqG+jJ}5aMY|jH$;!YteMu%{^dLw|LQix;U#5SX&v|;SmgsFkE#tgt79YjChwy
z)>evpE}z$#=|+t_MjcXxMDM#@Pa#|VPsUeCr>2n&rR9vEOLZG#f$3g>W#R{)RgTIj
zqiEnzvom$iwPjp*XHe1gT~ko7A<fd@C!zJOXI+{f3rVJ1+%fw^(s{EL<gxUxQfiK5
z)jCO9+9h|buPfd3=ySo;!Y3)Wd+PkJr~DJx!i?vrr6<z49S_D5-WQtsG_kWhMdq9{
zS5t31cX0_Kkz_;At$b~KHB3CMG<^j+v8t~YN>9s4^*N=%sLXp<ws@{%VZpd2ls0LH
zr>!{@<0MiG6Q}@lN*DoAp~~~kJduvHz-w}IQ9cWba~y&yHtGO00PKAJ)bc4+I24XJ
zGzg9UZ<oChsZJ?Sam6@-DYwvGVvq>tq>BLa#bj$fAcsa(^8sSrt1C_M#CO*rHem_I
zX{ftgqpy?#xD^`0S!q^PDV~dtwTG#AuG>#6ird_JQcC*;jcd!ubnAAKRtf<8>(8}s
z6<l9T>XH<Q@DzGheygwD>ko!wvpqd3il~I;@LIP}OL3red1VB<esr>15_7obqPVzp
zQe#crQy`vMBgx^rk4n`iYlX)#^2QsAd|y9Kew9*E%uY^fOJ-s1OJEtODP-8Kw3AGY
z7$SmlMNKl5<+{@vTmgYiw_<Im+sH-5vkvE_a@RIeM<y6oSLT8?o|Rr?R&CC`D|%Hq
zG$Kmo6^5BD#G?R!JJ(C(c~Fe73OeSq&Zi(7Axs*INUrW9JKqD+u6L97v?VmQG$g-;
z6+m#$(~6qjKv<U}r>%1n!1nGjlTt<J%^=AjQub=sOgY}iLli)}68y2?inj5FOddsZ
zkli#F!CFt2w;J*_hkoI=6`bQF(WDx&GE54EQNW~?j{Ib2uN7L>@hAC}dQ|@aGqX2A
zS+!@WNr@l?d(;JneP}T`lO>5?N>yFWj8nCRdw^V?Dn{BA<l>{9%xS>Mr#yR<HahjD
zked`ljNM7d?b49Ks=k7&TwOeI606Tjh+n*$P^r&zRm#P3{?ASYO&Q(6s?aV*S%wWt
z?5p2DO3jvw1|jNbs6^}q6lxk2rkwBEr>9)d^6tZQBC7A)eGNRJBRT0t#(S5`7lg3;
z)eDAn18+{GQrb!g*n0cZo^cZ}9OtzpHdlNo+6N}0Is82;!Vx3ozW^wa6rKUiQ6xpn
zL>IL}s!_5#)rLZY9gQ_{oM#k=)N){sdehW^c{rvrk<f$hO&MI0X%%}D6%Eg7mLuh`
z+;S=yer_tkz>ksF)}iU4r<h3KoP*Y*aom1XV>tvI<1`RJ1dg?2kB!DN=}HOD10tjQ
zJC)-rpGt67fMf#0y%!aS?A?s<ih4(vI0F?P@?U}Z)T!GogXu|>kzQDuDLQaZT8c)`
zO202Cd;M!Y&PU7Fy*RR32-Fthoic7wj<mKm(p}Dp5X%#a^j#Ohu-if&=~h_?`=_9y
zQc)!HxS@6f<T?6OmsU40fhUsN4}4dwu9s$n0Rjwvvr|oH49FA9Qofk1eWs&4*TVW2
z_KnCgsS&R=d&HVQ*)LSV7s&ho2TJdtvW^7{8U!A~l2}xcl?{(-pJ>|yo$#K4C6hGr
zs0D{g>CLQiWV$cnC`R(}fl=Ltmfl5)u*FV3wVQ3RoIi|Bqu(MxtB^3*uBXE`i*KgJ
z6bzBhD~E%_x|EmlEQstG{_z}Fq3Jds+16<geZ&s+r0kWh1-x^LTy3b>wt1wILJ!MW
z*jF1eiAE0;*x^(;0-y6A;ivgefmEMCG3en)BegwcF4;8!jE3TzpwI?I^DXYMvD`S0
z6y;a@#<sQvP*((YtQ||t)h`;>I8-X1o>uBUm9-KG;zR_UqZR7oR8=Zk+1qc|=6E@C
zldoCsukn7LB1CMSc&P~Q+N0c{4038h*j}~cpFlJP2P9^ll^o)rEKl91L|FBpV~c~y
z7@$2Pp(m{~%RTc{A<o5tsEYB|nwTyZrxe40dSZbwp?Ie4>S@@|G;@<cg^n{L05e*)
z)~YZ&)@(C~jtKl~N*T#2LjjshxRyT5o9gto@qLeQPzd6y#SwFy?)p{Rz%8v&ayjZd
z(lt4Wmu!ausp{=?`fP&1l`g-8u;RC#(m6(Rf@&e9oxrPP1Kzc#KW8N*uVX1gnKXH<
zJ}&VtlFYiMmG+2-{IrAoDz&bp{wCHgbpW!%X>So-k_=?ms$4)LlMJH<xjz|7ntqou
z#TZi|!P+rjOM}JIuU$ekQk=B9+g<cNb1{VQm}%CXM&ktDyXdsk`M<<J0&l)3Yqt|x
zptFf`M1+0wUi0uD!7t#S3N4M@n!|Sy+VTPShplv;5VrC(>rfYIAQN3}#G6#@>x%i@
zbt->et5q#qXWroWj~$7~Fxg#K`?$s}cfGZ{>wBL$e$?8<orb63sP1OCj><_$l`Y8(
z!|<*b!u}%Dt^Ov%YvJ3A==AotW}X|uaK{IxYt=qE_!q>UC)KnqM?uq|)FiQxyTdDm
z2lK3U_-W%09Qd10)OC#}%Rq+3PSm$>UPi}4M{20G%c<lu&tJ!y?AM+YZ6YHbjQ0`=
z72hSXUcIAyU3;w$Te^EtucnfvbN7g@Mg9u-t47c~J@#98t}g5@WO-sT05-RL)+OJ7
zJb$H)b5F3-?Pa#r33EHj2bND!jMY9yh<lwZzqBr^bAM@LrRd`3=Hdf3S+EwN(SK;Y
za{EthQcVS8vbDMUHOm&~c6(9aUxb?Wm9JRdU94MTvoN_<AA1z|J`roSpAWU2D`I`B
z>ipaw+%dN_y}&vRbK^FlsA_ZB_-jfR&212pc4oj_jN+(hUmxSuZ?ua=vnf5~rWsJ5
z^=vxUJ-33qXW&g<?(0FZx76d*AykzlkSUG!;GTMlrys!I5@>e%X0v9N_j=4XCgNxd
zVNQC0e;PSp$8)*yC&xedMea4&MVXbf<W~S6yiH)Q$Da{2kVAi?i)6omy|V`AILOUo
zOYoD%ULw5l1@5PBZ*L}`v54YF2W}5JuG7W83w0evUktUdOj$*;Qdn?y;-}nNF{1wf
z?AhYK5O|AB)MVB0p(kZVEt8K*^_^V2$QyZZJ6DtZ8u0GF;Mp}B4OZ4T?OJ0bQ={i_
zKGo`1S7Bq=m^mDp%6}Gv=x5^tr7CP6dYH^}!K5c3W~RnuvoaDk@G2801P+FoAtZ6y
zqX6fcX$8lY+wV>pBbpIG9O9fYngC%K=9Q5pjH{?%dV@;eN^k(J7i&~YijuP^9RkWi
zNQY@YhZR}0`<*Ic_Jqk19LC1BK-<vNnG7*rgfaD_q~9{^^*pMXUK(EYIPyts){M&1
zwN%t2C4i1Va8o?fFT6Ejsa{8Oac;8BAKffEQr>uNOoryvc~=1L<D*oz`t7>nE0z}b
z1E_un=Up?Trrm56?bUT(@D5rSnbH3MXUr{rlIbt<en*!0$4`<^6w4*d{!CWt3=p>n
z^`YTk7{%esNu<;_LmZF$sJfh2f2!#gdgNoyhC7UMtiT$=(S9An2B9t8`z_m^5eWHE
zdI4U%b1XG%FR;WX?xd~h+x59$RI3X9){Ecz{{V)u)aiPazOQDNHt)VR83wH|3^7sK
z*g>bo<-r=oAEJy^xRH9Z1r_o&92}d5-4A*SR!Uou$8VF*0+vt*9ja+vRX$P)K9yUN
z4Q7ja2(A*9h&?F^;QLX=IQ=LP(mCr)>gqevlg=?sZVL9H2(r8kRBR4UJbF@$h4rTa
zh0Q&HVB?PTIXK{C(&1a2kx%V`KpuJG=<hD>xq*yp(1Bd)Gue!w!5refV^cvLoUY6O
z$5UQKcP!@aOekd};ks8$9mZ-;;(bEnPx8d26!Gs^t25{4kh317)Qn^b2?HLK7?xDr
z0L@jB8YL5L9C}n|5+9q9)}ePOF^torlW_y4dr+>m2dQp3glI+q&q|Itk``=^w0T9B
zaO2*a<d-<cPkLxW%wkybtIamq51F;Q8n+4*O{atJP)If~Da-l_L$K?V8@U|S5I$n0
zRf1jHGM$8Ur4ep$6mEZNYd|3o<Z;@X;2s!cRflgchEgiIJF~_qp)xgC(XgsBMZ>Cq
z2PE~yIbtERijI4zt&RxG9@T2{WIG{-$9k8}>~o6AxxXvDQ8u2Lt(mU2+WCqKk~$Gs
z0vRW{<#{Hzr5)Uelk81nrA>C*-++76*HKGn5sdPL@N0I}3=p6_g=gxp%XPI;H)p@4
z3Zrtf*g0&3(-1=!T;{Y^QL_MZR3NmP2tu({Bh#%|NXQ>CIIQKX+_kpFmR-s3>qxPX
zGEX!`IFICDPobfuS10BJ9`%zM5nbFI^`(+#IUEHYC?f=6gB<p#q*B>q)~etngK!u<
zY9@;kbH;e7<L5kc(=`y>Bsn?9tq3$4Gm<&uwKIDI#%e>5<m0U%;E-}?3l0+SIHHq!
z4#tWC?5VpC#YhWv9s5;sO2107q&kjy6pZdFDH(3`*9SYQW6F%0LZETli<CyPV*@xe
zH0%ijsOv~m4U^K4kc6LFE+HkmE}#&1V;of_S!0(YCpB@$91og>KPb;rTE(cK+>|ch
z8II9b5;bw0<W)A2uotymwOo)#OmZs;7PTaf9jaMJN&qA8a(h(5Kwk=eT1EkKdgim#
z*27u3&w2!$@U#`&Mk%g^Mtjq+%L^tm=xQcol6tSDGB?S^P9qMdns%_r)puafPY2i5
zp8o(Sz!eb5CX0Z=>=l8n9}Vb3U73SE#U6vLR*E%d!SBU-H-@xWH2XAkA3KbaYFp*i
z8L-lPD`li%kvBO0BU@^5*MUtWf!35TBivUzZM{hmlxHH5P8yw@E@`0VfFv!G*Yc*H
zts%)2)0L?JK9qptr!>;#n;j|Zz^Vb+_M|5ihl5Ia6bM}8^Gl43(^YaaQVte@2J8$|
zptxvQ;|I4i#_3733z|SHv0^~rnwlv7PI}R7sE!%w7?AA4r7@Wo(YBwcCBWt>K31(3
zJqnzI+*5B%a$CQeGJs^&4-Rj5WOgJ(&HJ!Ua4XT8Sd2fldN^5n_W7g5r+h9k(T=gH
zd3rv-C;6Avh&?Jp%5~?`obiFugj(|ta={it^rw)0XhbyZ0YC^G1By2SPAWMv4n;SU
z&*?x9l=1TLDjJZS^{97X;LsuA!S<!v8yKj<l4-NuMQ0g#q*&B<V~V90CuB=$Zc0-e
zRFJVo9+iiwc#b=JXzn2^G$pXk4**k#i!4(1J7#^aBJM^#4Rpr~T59S&{{RiloqBP4
zv$3_jRRf$;r?~UmA+z<bGraNZ!{Pl$P!WYT^LZ+JA9~I3_rxpXs@p>>pKFSB$ssYY
z*P{%Z6(~w}wZBDko#r%SB_96(@W-wR6-O<DNSA7|02{4&r-b!=Ys4De<dWPf*+U^!
zj1EnD3^w7|ob<0d7lwFBp3YKD+owaWg@11zc&j4Tqq%k(<GgnZOQoxB00sp6*HM1n
zOa<AA3Nz1Y^Uo1pN#Y>M0d<BflEa}j>g06W#loX@j9#qyt|zLNT~>@$<t1d6@BSF<
zd^0d>dvVwxu8Er}%xjYHWP(j92kyTquCd%KMTgB^RyLcbh^YtBzs&bC%8IrMl-F3V
z$Ye4qu0h&r$-5*B;Nq#M4gtn0LV&K}*0}C^WVbG-_lhzx%GD>chIpD?fk>?dh(j1B
z4i8+`cA<1L<;C)^d{B^?NmM4{Dl!Y6zlAa7WqqLW>r%kE<oE7snV1AoPAnC8rd<B-
zBpulFs_?T&IXrq(OQ?&!Zs0M+IJQ8j<5Ay=V;sKFd8N4SEVBd0aZ!nQrb?tXF@sD5
z4!vj<$ykBXqi3XD&S^2prUHiVOOi89$4YwxfM@{#$l`!-YD5?{9JtK@4KFyOaTLHg
z=AL<=0a%{3I;jA2ih+3PQU=B|ND0H5t38|-TerrpPaKMz9o?zmDq@^vD7(ejiPMEe
z%QbXjX)yl)XKM0WWQbU0RP@iabcGig916<Stt6QeXfU&(%AZ<pnW`J6@?{1&)N-c1
zJVJP=D)H5&X?OMco;DIuz}1!(dM57|(_Wu0#rZyC$4X!<Gn$oH0zs)>B$6MK?+&%)
z9`%Z`$PRN)&lM75aUPW_pftoXLVHt`jkrB&#17*W(4gef0gO5H6xRT{)7)VCiin?>
z3SdsOgy-<3+qrR^Q*pFlngl8NhAGSP<C=^R2*)&{LK`QiN)iHFlu009;1tI>uRZZE
z_GZ$SXaw2his}4MG`)3HTg~@99Hdxrch?|Af_rgyDOQRU5;R!RVueBoZY6jjxEHtL
zT3kzk;_g-`l;@Yv`(5v!H}_`NoHJ+TPWJ4xcK}BXVowr1aIdp<a!!3%R?lLES1WAd
zti~i79Lo}$pf;{6e=L&X>}V!S;PNh6bF;zw2HB$T^)^w{RH3MJwj_bROg=DgBnZa-
z4wphStx%6G@0QQBa`%ecg^#!&X2uYg0-V6GPmuaUF?F~<iZBs)^KHF_WU#4&v3sbk
zmpuAk{=LXbQ=C=Jj-Idm>uU~Ay43X|t>3I$s8-;FugH}KdJ>%=2PacDjzHrfgP)Pz
z2W?O)l=@HwN%KzyHsqUtU+y?%$xG1fOHl-HdpT#HBD2E0b2ip~f3ax}ym7@-Rf;`L
z+d45AsZk_F9S5-FTApoGG*9Y;wX6DL>MuUqGByPdTrI;$CvdTwG|R7?%ByrV|5}3K
zf_XV1ki~47S*6F7QXQn1ajKudq|j1%2`)4Y3!;r>m5TV3=U)Y@+Y)#1DeJ7dg7no+
zA}hwf+-;H*1%9YAFII=Yz^D!UfZZeyK3|Cylo+;fF;x9*-Ad26S1D*aj50VKROqMP
zO5W_*?xJNm8gnJwb-mPM3Y7&y-L8@sK0~6mJp-sqgQ8-VbBD3fVIRh%U_5JRW;BvA
z(<jn~J3BB#v)SSw&LKm2iX)(kg1bSP2!)du7)r`7+Ue)mW0TMW$|HpZ)Hsuo?{~tm
zk?Lc+4KF0Pw?V__c_Ob#OBbv7?aUG}8N=om&rqho3*Iaak|*G?>=;hu*RGen0rYU=
zPbb5Y6qp)KiXfTnaTF3eRUPk9D5Z%zvcHm{Ml`IXuc{g#Gq<8RbzM3ShQ%d9K5hvs
zqG!>OLi2c1>#%7`lsL%*r07xT7E8}x6I(4};8aGhSzYl-l%J0c*|g41#Fnp|{tm`^
z7oH#q00RJp?FW-d=Ie0ppXK12Dcf@uR<WO<5W&DX_0<rb$!rz1R75z@YtslXaN8u0
zs)$0A{HxhKw$(PyqDgheTOo-JePPlfUjYJM-$PA0nr#q{y*Q{s+^4Wk<On?WXcn&S
z5H5LBoCXji0;&Ewd;^d%Y!xOQ7UgCRhs7`1lCzBVlyszM8`Gx*6hVI_H1>Hyb+O&(
z!hVuVQSkOsi$*!VeB<&_*)WxGc92NXg0{QN=RQnXSn~<^xWGWWa;Np+?mol1TBu-g
zchR`7M`T#FVgUXrS35WIP~~gkd+AeVq%+Acws2#4^z=xFtRDf@H~iTK%@!~=M#3(M
zN>Q4IFqr-@5>Hn|mp^&77{{w;<63=SKU~jNX!gr&)Z2VKSsl?b9AP!ih=Q9cYqdd2
zF(J(@#aHQnJ_T>p+uw)Tb+#s$E5OzEl>6@o13?$mh<YzLNR9o{7~G+$W;ZZY%HT5U
z?)&I-Nm=Nz1>TW+Gtt$sPfGM|z0oHT#^nB;=mQkrv<kWlOc}owt==ZWscD0jx<~~U
zXX*<wC-?KzhQ9cmVP@S=Syj^LQgqugnrFjWF*vv1-_hFDQLB`DF|nRqW(hGBrff*?
z3jX3WGCW&SKh3oS;;CZtF<aDD7TK;X75&|u=;TYz{{c*=UchKpSb0>hT)=HUtU1)|
zT)bMQQZAMsBwCVt*3#y45nQoA+hBTH^dA6qX8ipV7b9uD)`B|tz1K;9UWkjH(gpou
zi-GLKK?-*!gjGOZ>X+rCkq}%Hxl}e`bSV$#dwNx*7Xan9j?skQ%2p<rKe-}BJrXS~
zzq=3Bmqr@I?U^QIe&2f)UFCDiq~G2UaVJ?bPQyt2(ea75DiUv>4FG%K(q8iD6s=L*
zwv0JLXk~r>h|7Vgd^s4RQ+S`!KVab?zL-*}dPFCAX!WH^j4OM^B(CGgBYJ3)vyFQK
zMH$c;xeak2!%V?N(%o&_?ktg2-+x!T2>s0N_SzAq;k~PrnEM@XO$~NENX0?&20+7=
zgSh^kz(^FZJ9qo&tUP76nI|la_h+kVXzEce0;v%+m7&v}&wBrXKuz|?!{uxf`#xqy
z=3!;Xsapb<`hEWvzt|P;=Q@8GInI7*xESs+?5~UJ0_(ibhycqwcCRv9HDrM752?2>
zA8Mp+#Mm7}0yZ5T1y@fZaZ_hzH+5T*4u2d8eb(g8sg=ZmCIw537pnCj=s!SEg<L*1
zt;8yYt1K;EycK<pmC4%S@3mA9zh>7vUwG?SvSxilVs@A;giFql(zKVtMtZ3YQ>c&d
zxoIRoS=?J#h?m7S$k5VK=15lrAz-Y<!YyI2(g^y)sKD?K*iJSd(wzB{m>%sI5oi4^
zM!AG2?G>i+5xu5)9?$jgU7Xnv4u&K$M9W1fH!iuUe5UL~f*ii)yuVmB;4L)V#QJYT
zy?BZmw4p={Mic$j&ukqQ2`iY%S&Z*|>9ymtRS;yVe<F$F>C6yqsTM7HQ`UpOKU?gD
z9#P5;ix<gB;70r9w=c_6lx+HmW1CMX+|+)~cqQwDL&Cfj-+R=-#3Eh${A70%qwvpT
z1p<<pZ)}KA_RB#TF6}uI96CMFM$}*0pn^gidP6i-WBSW;O~TD&Egow0bTxWI8en2Z
zLz8p&IQxefIfu>qRa1nRE)m3S-p-i;nv;;e@VWA&g2(6h0BX-26etY)?R(TrM;@`o
zksN?8f=Fg4I)EYuW}3J`2Z;6EEP5df&#mU<*<Eqv&82zM)+$ilEn{M4kx-BQI~bC3
zWxu(y!cGeN@UOA0l*Xx%8;^m=Zi7qoeu;K<>PP{;)B2Z!bS_a=Vg+o35=#>OyzY15
zB*^h#`bZfqABlpw@m9`p`g7WD;_jpi(Lj6GVj65lRqTVkar&UW0r_W|4HH@Kw~aH?
zRJLcKVZJru2A9ae-Bx8*afUZ8xx!7W>#mcN{{c?v7wbQpQi{tc){3=J_H+=_?wg=9
zge^1zoFvh|+7gpuTg;eu_z_3JeJKpL4)%A+f97-+DxS{fm;s!sMfbFr$k#o_`l?<N
zbgR=?6mr@>ELB@Jh8#AH?qx4iW%+2tx607IsTtsX9NKPD3Gcwe{i?1Na=X2b^e8)D
zj;$Hku$Pw4RW<Ru9D*EK4zczON!yh-TrJCTcimCs8)BzA_Z$KJ-v;iNR}^66TbK(h
z@fEzw>=Gy8)V;b=Kc2%Xn_zRoonOfC9HahI=7;{14bl3OOkki+^C!&#(3`u5LFCw^
zXuG^pT2Wt*tFAm*-SCrunx?(ZF1-^X6j2<W@IuVQ%r%T#+mYzx66!bG24GaEW<gh@
z*@l~#rh=!ejPiCyNsMxWOxh&P(^7zM*3=!6gr5pFOm?iq{BJ8Nh)H_OSu)AO^E0Ox
zG_2Q1a~mDzf+zAmujCa`4;yLfi}?c(CYx%d)$g-RX=Jj=0m4Ch$wXfyW#)=k#+Q;8
zzZBcAhbOMW<o<}#WX0W-igs^z(CfpDeVz{CDU#aC&BE(9hsAF$bKGU4jHq7Jh}kzm
zRxF|w_lTwEAbl2DQ{ZcQ1B(fJck1VhXCLF$;IiF?9@m>wJq$l6EM`DW5~=Th3M)c)
zJWMsDTpOk?>t_@i0oD9M;qh1l$=_|bQ^UjO+KP3_p@Y0(%SSI*Q-Q6hMxdyD(RY*U
z1g61ZDCtuL-lrdcL(@%PeQ|H&*WUys%jd%L@^0k%bqDKx&^Dea=q`pm0;4=9=E-#5
z%MuyPQHUw+wH{=}j#9i5#;eNWH`EYOMfKA>8ai^>Eq&pi^G<}kOP!(%d(hKfaO&_1
z6TUrNta-ieYX34q%EVk}_4Aiu1?aNzs27KoJwhX`f)Uv0(wMqlG8%It!&D(!y`q$#
zq69Z9I%V;;p>p%TGXo2grAgN#Ze(8$SC;EAbk>vG51m|^>*h8o?MY>><ro$RwVfVo
z?)wos^Z9K+-{1%>kx%VwmLhOgLJrX64*!&<UhOxjDo%At-+MY!XN{JkX(WiuW}@7q
z0m2)Pb8|8G$J#b}79V&gSkNPI0d{%jToMy3c53u<(L}RJB=2$?z$bZ@_H10U#asYe
zd}Bw9W<BZ(v??4>L3qL~eG0E8g%?y;KB$_&9FLJ1$CXxPOa0mQW4e=0&gzN^o3G;p
z-(s9E-Ox5mG_UZK;q!2_i%U$gKq*O>NUK?`DiKBWo&KW1hX;}UdJ4Aip?`KojU061
zd(DrFLwn-B<b@b!a?d<ja_`;=s>lnWs9Y<N`mj@qZC_XT2BQn28?T!YXhNAdAwP23
zx94wVmBXWDvL^cHtyiz6QurjeL}w@|6263X6fQ}zA4=g~Q<X7f4`rtXr@HmRH@3R4
zB}6l~+z3Sf(QeJEU<c+nEq3v>cM2|-8JE@49i!CLjiL5DV@<fPiHzbdZWoX%qu^3-
z!Xjxo(Fg9w^``}#6HbI`6G>+Kx6o9K^C8Gt+-4~0Tl0Q!fE4&{IzGQ`ca><@CcNli
z8l23G@grFkKYo5`)($#<;ma|~!F%WS^y}IJl*pMtYaXMPWwCDh!0tI0ESdK(&H`Is
z*MC`{KpnVb+t9yxD#e}EZERg3jcBSongM%e*mpfL%cQ=clnU9a2Cn`V&#3s7!skP=
z*ET=+T2#n=K4b0I)%lSMq~g;WKIvY?^G?V2E9!0Y1;H`XbyBZV`nl>SS#NIvkD9D$
z9}|h1Gys-RPchyHGp4&-b+9Uschuz%;y-}hY`IfRPRZZ3j*wr}9vhG1R^^T!=NO~4
zH1}y4ZridVs_pX;7OKiE=w=(-r*B_Z*gl%&L*!p{%2xPSSo=M5b+jiXW+<gIMTsKp
za;zK;j+`5`F`Z~(DLO8N$>mR47pkQt8bz5eA@)}p-b`ns!zkS3!pr65-S?T4d+9fF
zCI-(>PKC9anSD~q&2Qg}2?kIPtwpry5d~Av1oLklimq{MxX4sCsHZ)_<<dvhXv~O0
zoj7a!wmhk=EHoR*>Q{b&@7h6z+TXe9ztQS7|8%(%e%-(x%bE_<vG-5+@TlFGv*jSw
z>+ZQL8l<KFNOSSfUe_FOwn<k{v$IrfM5L%6AM9o}Wn|*!+Bt<m5I6YG-Q21s;?Ae>
z!ygX;6c`@ij}js5e??Q$67m)Nhw1$^(i=E7oX*fw>u}GoVJ+YP*HWrBD|jH5>*Jfm
z#ct^3t5aEj(MM;MoVz{xVLrD%v9-k?3H&p3-m1a&EODzyq80N2EnUI?cs8DErJ$Lh
z`NrQW^Z(-H`Yt(e^#``fD~y4!uUmj#8L{4$rn5`+2ei5E=fp!A_M>IbQ+LjUW@tf+
zYH>0qj+@p3=ce7+j-B=#J(Dj2qCTJUZ05dqW{$A@sr`e3?j*%c^3UMw$iU?XtdqbS
zGw2Ij&ng`a%*$cnQ`hJtUUcdCbd&I&cgcwCDPy`8v;;8TzEuZ8jF(ZNjF#(DnlUdO
z9I@w<Por3-!{1fCGIo(8RX)kfJMfm`#tnNwjFz&n>_IC2;0FouM~|V(^e*flZt79&
zwn4PUuD+t<_v2fXi5vM1xfTbCccr*gm}i{LZs+#7Y{}+s(Bw02l<~vk&J|E7S@R4%
zvemBs_B+MlI)k~z9h5k$k1IG;1Ff+k?Z6Y_eD=m5i7CB(0f&o<#X=;hpLzZ~YJ*rW
z(3ICe+cuAgf*lfOn+GB8U(BQ{hwXkfbI0&4`0+ZaM$MJ*)(Zba>G_HjUN(Wyr_`{3
z0)gLwhRY=mO+rF_dFCYgWG!%`<b>Z41@*DOJCH5b7UC^=-%p4g<B2XV`AykC)~T))
zLWvzSv05{}XX`6bn8<{5XdssG*$^GFf2jK2OlJD1o$ss}T6LlBh4xH)NHVFS5wSnp
zabWMHC^71-audX8$}3PB3n{kzv}95wbkeEee)qEzih116QYrQa`di@M%WR4K!RHvf
zyM9qAai*fpW}fx}O|9T-=f#{Ek}~^x28%XNEZd+KwAI=4u{{wRcMdC;W?49(1b^eN
zu|tYW*sUKI;c#Jz1Yg?}s7zun8Y?`_*K)M+SQP=f#=E5$hdgtAHk-5HA+AbahH#?2
z6U=QcksP+T>Nw|}c!$d&(kt3X>g-&^&dkU?qPT=Pw@fLMgQh-BsSgc5axpOXYWp<_
z)gP5KR6jg4Vp=OeX{c3MJB%19j3wZwR3^~Vwuh-JF_vWUH@sNOQ&E@#IZ!9HJ)4vc
zR5{g4|03r|WUE7dN~1YH)Y0Hf2c*_sl?#&l?v=V>cNZ_F67T0v)_#qRr5UOEQjE9O
z`|RuM=)ry}A+a$pd&}c$C3ev1PLV0YQOx(5{-(Gt+W0+~3CdLi8E4VGN3T`y!o5#c
z^{g+S!m3pHoOXphTcbmTAVQiY03yR57WhB?K`(X32F2id1o~&DM&6WAtbB0z=Uf+c
zuqIhbtg*9UtZ3fteQ%OQUV%@jK7mhJ%qeV6tiv-!y_2e$(8DNMk_l8mPamUnWNAG-
z)J_odgu;T<_1qQ8t4-|i?`dSGATIBGS)Jb~j66ZusDBSbQVrTUMOs<{BPPa&kjp%x
zkh|90T06g1A4h#*pb|9w7d%p58&9z3H;Rs-G@rl?HrF^3SVe)BD!3}6huZL@e)`mv
zDlxGrN$mB4!mS+)xRF-n2o-2Bk><ASshKoI+VHz#;ohq1%e=H1uj3>s#`LOn3-B0T
zw4W@muyH>|BZ`G8x9L7$cNm89-7(Hn4KgtCdFB6ujVotXm}Eqf{B~{rSv5n!EJ>og
z4V@c+Pj8p>?}Q`|tO!VunpOWUCK9QDXx-WjqBji42?fSR?n_Pxt?uC2aU^8|NMKGG
zG|)V7LF%y~>rT#GEBX*-u-~~3_W*PjxdtbkKm2I2-Ng&9AjI9yx5yCxHHjv7OP3EJ
z(LzH}!fiUY4|OHj|CH463|EWuy<q0R!`r7W-wY-e3D>XD4v;Y-eT~Z+5xd)pdD<&?
zi{|PCGc0W5LYR7Fzr3F%9?(A#4qW)9{=<x<ot`*|wyJ(pgRN9alL^yyD}J#4Brv$+
zq;OUBs`J{^FUd2|EbS0+IuW%Zj(8(wi@2qep6_Um@2^pxve->?9oOC2c(GrN89wRk
zJAz3Yvtw${h-&j2X)E>=Q3(6DVwV~TO9n`uE5flRozco((kAVocCE%6bITjv8gSdt
zY*<ntS-4KTqNqUsvH>)~WaO&~z%G~e^jODliUGWeRg6J%0A`OhM$5^!2<%?iE0XV$
zxkGx=m;aXhgG@Gv;ZS5NWKCsJ710(jzu+n9EnfJtq~Ze{!^<mx4Rp`ZPO7xlnW!-Z
z5UEzTk;Cz?wNr%kYpZ=XFGUJ@2M-r~K9=Uk^%@SU&RSF>)&hmQ(?9y+P`7_d)}>Lb
ze3Ur0+AT~~>TpQgTYo>|p=2q1lyRwSjnpYBpYYkbxGSGfu@PSRz2qJDYRD!on$t7~
z^kHu1-@ws#aZz4dfJ;{9K*O3wL*H6y@8b^CNQ1Mytl?MMqww}#k_lgP#kY!iv+Sj_
z)y$mDomFQp@txf4+vSCfGo0o3#@KVBN(PHX32PZ^3wvAujP;mcAvgCAVh(nKD76!#
z!GfPfML1!Ol2|poXu6tKv+13U@4W+%{t{P1RM&2`{az*6n@<#Noqnx3@Xd#pD4o^Z
z&y4fi!;EROo+4J%a20LshYER>nLx&7GHfkuLQR*2TaOO=&$i%SLG$mT3BhCi6k~pg
z3_wZ2@i`DyFIy8gGyHuR4Xudxw5iEiITQ&>(Zg}}{^Te>*^B~?o8q^A65WCBt(R#A
z10@JG%;Kezbu^Iod2-;>cTu?z5oj9O$7XATxBbVmlSr{bsgvJ*Ec@s!wOV@kuvR|f
zaKzNbT+?K#2V2R|ibVB0j2DxHJbPq0^}_JR-5HLb&NMPCdbqf~EfeQrf836yGM_vi
zWwoGH-L*2y?Rjno#=(_SfTfvkiYBpVriSQ)7rAUE(o&4T5clcdhh(Vtu(qT3@`4-s
zrPEvyVW@wk3z3pipZ?!8mzj7Z6*%Cx@$ap~w-f_!^2F(G=|jw<{Ps%ne>NxZjyu^W
z{3|F7y*CXkP3z5eULn$6$`1zq2lzAr%H=vm$fdMH`ie(lf`8c8E_S63b~7dpB9vF$
zdRb`#w`!a}(#NUIo}Q$B*;0s<3p1mVg1g%6PeDt*ZwK**4vcR}=L$6*X4y7GI>TR_
z^uQ70P4iC%m#+qB9b=aS8av)Muf6)I@M7eAMD+M?e$VmCHPb!kR|0&e?)f2ujk>SZ
zKc>$dhT{96f{p&W;3uOWlOAN(v<FkplYW%-m)lpqbc$uvvAeowAM{%ll>D=S*YmHi
z+Twa^J=L39-np*fdOD#~Xd);&_TuOj!F}GNadT_Z%c9KB@&XX+x0@NcTdzn3>b*2_
zEVEtxR>0m!0b8}n?<B!SZkJNWT3tqa7KcO3Au^L9f0vXl$*cluEqL8N7-Ow03;zPg
zv??WTvD4n@h~EXyfZ`dqbs{|zEE8q3W%ebD7vwO0S|6pXDF(@wwJOq&(-Bjfcn>R!
zjDZqk^4Kr);x}{gA>YhJPg2;I!q9k3WJTsgsRpG9?0cp7SZ>Q@RBhW$VYq^hj01@m
zwf1j+{s&O`+`rgNJi#ZtGU5=uY5v(T@LIS2o&~8yOP96V(MlRi3pP(tM^2HSg>A_&
zYzI|-2S6-#pF22n1Hzepj$!Nsp{*{FA@6@#ejc_E$a+_KETU4$t9tdeB5G9)Ka7y~
z=abq6o$4a8gY^xIRyy6RNO<z}qI>2A<CM}u<G=SVzp{_JME1g@$-<-!_hGG*mTLFe
z)kn$Tk93blCC!<t(wW0Q^gleg98`)rpV|`+=5W7A^tNHU*zVOUf6`cZGV?B#O}O42
zNFmgdby=hEjQCn)VV=Y!R2ud|m5|;*4B9(rC&<Nr#Pdtx03tL8x>7|eW)VA=nB);l
zA34=CQlAu2qMpVrJ^gE>zYn@lD8LFsJJ!e{4RQ88R+#)j3$W1@GGrOq`?@v+RQ7<_
zs>9Kqn`}q0Uyhp?qLlg71VRo8NHL-%k2N@{^|Ai+ASL)rlSaasy}-l{k(#3|2!-Ve
zjucR~o-PkZt|93_)UdZXBhTVwwyS{`yZe_KvF!mWablbmL)F0d)vCMvT8OTv)OFoz
zNeBLEMqZL7g7sLhAC{m+t}p_K{w|&*8*5HOiJ+>&sR5O==5#CXVinFAal?gJq)zlS
zYA-ZXS?1nEUSpTII|MG~C3o-EMJwlzRhFQi)o^vN{qb{3lpRPG=B;!^LM%XtyT1}m
z_^)r_^Cw|S1{LC!&e2vpGm0!s%9BZyM|tI`$CZ74Up|=TcSKVOGhS!8j6oYTHkn+9
z)`6jay|67gJ%DBy3Dz7?OS7_H%m)*9xJsd&sqngZ?jAVQ3Y{MaO)tC=7jg8rSY8BO
zyT!xt@-;`Za#@mYn4zYf@RjCWPa!T@wReVX>pf^a6&cAtE<Vc#(eIUFIbdGqn26fx
z-(reWIHc}|LEs*qbduDS#X?a5nA?cxTOL;Qfz<FYpiEN0R*8uO8~toduPyk5rBFF8
zOp-i7ig10wKFUUy;PrqH1y6k!j<s=Zmug1gn#N<;{Hgm7RcuiSUeb!kYYT5nJN}TN
zFY|(I5+$R+8wMbl!+IGb(qPl_K2$3E53gNA{i<%DPkBbDNcj*ChXOPKC|qo`YLPiZ
zX^ZoqBgkT?K>wkPHLFMhJ73eR&FP~*dDYAZm8w)u^nDB(&Y~3S(%nflNcDd1@+8m{
zSR^}z#8-OSlT~^Ti*aIb{@S<a$gq#H>&$K_l9}h|`-5~+D0pS@J}?pBM80S=e_M>B
zv2j<#e&LKJo{)w_v)V>7+bnR-s`A9xMFCPrZwgf<27wJlVGz}QcAr~h9Z4At*DT6o
zUS{@cHGDR6e8(wV8;haqU=;wsFpa9{r2D*nS8){fk-X-MtAOG@d42qEMNPnY9>m{(
zoMdS|{RC7aR9_dq_|=L~kK*0kKH$=1=OYfoKX759{HrbzX#&t_7*Qa6#C$96<!dne
zs=|ac6E{NzPVZVm6E9O5{*0YDH~VchU5M`1JdcLCeY1<GWgZqpX8<i{TD0)UhH@d>
zwEo4^IaQ>kC63HerhkxC2(8ZeHOo=c0qv`p!bK`PF?Ff(8t`C=^%>+v&sL`MFennV
zYvbj@5|51yv!axrE%xubdVwP~OGA=KaH{7pHCyuYcWsk+&ISw+&qnvnFcb**byG6t
zzj6DupJYd3>&r_#uOVpapn4e*^ZPF(-6uXJ6{NZZmgX&l{v{MwR|-f^=eQBR!1=F2
zIJcZJ*$6eaVe$bMg#b{Y@#CD<HcV!su?4NgwBBm4ep>KPmD)vhk*4_>bI$1$MK`Xm
z<e?6mldelcf<V`caa}ihYB(Vs`CPS*<^ZK%(hBGDG&e(7B{fq#27aJjQW6%C#a>!Y
z?#|g{t5Lk@_zMSs_f(*Vrd9YlVgiw>s8MVOIMkWou`OB*BPJd$dBMX1#=!VZUJai`
z%l?M&lAD$&8Almj%?dskJ1p>XnS8bgFKHQ37}O1^G|}~nLs+m{r9k+PAlz%Sbx)da
zilW!l{_f-H6;$76y}n#TNmi1t5933(lu0Wi$n*3zt$(@()a%dw&C~UI@Dvqo&c8T5
zlL`?VWmVs1@>QT{blVo(0fe}4X$i|fM~pYaL<?nyQ}VfoTq25sCm-{=C@6GgI?N|q
zn+1iSbF;0Z7|w_}QXv;l?|dcen~_ZJC`<gnNb@|l*%uQ<18T07fwZT+OYuCd#*3sV
zY$Jc<>Y9(ea?Zs0(2#cc)&}m}3rJ9`BpCr<UR$+%_MN_J&J}zIrJ`})YG=#uE24?c
zBdshIJ=|*-(Z&+XlZ&X-d64I9dCNLKJG4P82&wn{TwVeXdm-&?58J9g#O<Fgdzr5Z
ze$XSQlo%Ak{(@HO86ZkpyQ}+t<N;MBYIaY4Wn;#b6Lj9w`k4MmAhj3IE>!1;#~po`
zbVvda!t<0oC@#x0qH(DGLcKvmDM=M*zNS#-NG<D+oPYPNNnl;d2Wg6p>BaNoo*qv@
zS#cN%V&M|yjZhe5-6u!G5<>*a>9Cbg@(`awY_*p`i!5g3+avTwP(%`K6@lg#3<R8c
zZ80||M3yJTT%R7Qzd!DMYRL8u<&-L*>dcK`%TtlOSi?fK*RJq9Hk8B>ZZqX!TSULf
zAQu=0_?EX#QB3;RpJ(7J$or`MFsn9PSXSfOlC?S#|Dm>OG-xkPAAud1Vcd%!AbYJF
zQmDq-PL*^b6!{%AD$WU@aQ*s~EKe39!|Q`NE!=RKlLuju&gv_m!?t)|&`?>?hdX6u
zd^aNl5zI+wt2S(C6Yt=#{Mv@Ojq)oOo`{f`khYihBDX_c`4NT+sdosu+y9KFcWN@#
z-%g&;hR=5Q2;-icZ8sTPQDDfWRf*H3ZNwsNr9V`cG5-Pp04k=jh9qt35~rp*BmUDq
zGN~}rHZ4VVWi-6xlpvE@S-0)Aq>y;~xUdtyma$S45#rN~&yW;?lzQ|GgK|aA&|6n)
z|EgJyQRGQA8%!(2lXG?ep{dbkk8fKM(pCX$QT2Ka_)bAS^>AU54QeOTkatVULg>Cu
zmu&D@|5lPiq<he~6|q=SADSdPwi{~M6`9j+8J?zFU6j-gV7^rx;&pPUo*%UCxFMB@
zQK)@@ec`#f+l%joCV3xfo+jsP1e#*Cu<%F1uh&b=FC*vYUx?@FiX0kpOl7=Iy-K*%
zRw^+J#4~5!$T(ifFx6L`R6IApz1vApKh<!vJ@#@XfA|KgxdsYRuOWO=DHZdGkgv=4
z1mAB{XjoYiUVpSoPBp@9DZoTCXtW}g3Y?B{p0;~%Y`Zx$!qG(=2CaX<M=@x|G!sy_
zK+0~3e1s4(MyZ8FP{s<OYy~GKS+a4A1L<&T@*wMw*oF|-Ix_7<uiBVpAUnPFrotk6
z;1}Kej5@7$$nQm1A;oKt!^J%QJCyeMF#WrhSGqTcG;g_DnouydDP3j@r~o5R5HgjT
zd<viEWQ*v(Dv7e=7<vYu1YqSPk+rZ^Rks2aX^PjP)5l1;*K#g(jnZi*fk9thlMIi;
z!rK%Swn1~PD|I(C6YBf!lGrO1l{tvItRXcJvCd0!t8LIyKROhqVI2{k05yovOxF5Q
zC<4DWVi}SwGZF5gO}~n)`>RjMNXDn@U-lkO$+V7Cir)Hcy)QrbdX?tws6E0p3~jNh
zbw#bPj6qdL|5GzF{<bKapsjz|d^((aE2qpm?`taB<tEN*XW;yC(-byq5q=cmb~Hl;
z$gT_P1%Kb*mmT9VTM`R|_4Uf?(B;!-nMD#K_AfRBI<AfyV*4_)&fvV?F089>io+t4
zbEdIr7+i8LqRaPJUItKO+k`D?_JqTBAV2Cyc4}zTsobFt#=v`5#`&*C^LR;omwC?1
zvH=yB8KYc?srDttSycisZ<xPh4Z@hq#;S4Q=lEL+EdmOun(>+MBTH;KMsEQ0w^fQ;
zVr{I_<}@X;CijEZb4_F)YZ_i<f}HT1nzShb1@{q6-6)^Q`Uy3WzAYfo2O0Dr9r*Tp
zvbS`!kdZCxR^es<{cM)tD(X~%<$;DBp`qb8$&=lJQnTQ6-Il@gqn_Q>17%;XCr=)|
zpIeM0mdqg~z)V3&f5i_;mZGal&!PLbVYHS~^o|}XyEPhWi8JuvJ7;1eyagSn&<nBs
zxZmZMA_2hb1n>@gt5A|=SkqnOTqP`k9$`96KPT*M$oH{vKm=nkuZ$k9KUSXM-Gprj
z(K)1lH+@DuBG>q48N}^hayF+uyH>OO3EBd=mDjvZ#6Mj8raSQ!GWSz`QllliP+oK9
zGURqCj#(J2(Y>#i79I5;APzQl@i8hO#20e?Mz%OvD8Rv8IOIi0Gu|i9Wu7sk#=K*_
z^ttu_0Oi+TU^UI0K%w@7+lQk>lZKWQUgI|oq*{qtp96d1v|-mn$+5=TNRh}VnZ<>L
zS@YKx8tBaQDK1=nL=;o8uLSJvxvz$p>h5Z(0HxH6wJsb~b2_f7Za`n)ySmAVw(3_i
z*6Y8+e}7XW{S@y{fjQnStfNOv*ftDGq&)A0!Y*pPkKG*f!_Zi!G_~4@GK``t2koix
zur{?b)gE18N1Fe*DH0_Y8%h6sca0QUtz}NQ{Z<T-U!hb#5gRFWAqrgUt|QLW0NA~N
z2J&`g)cb;g4IXx*d7sR>bPb2zap57xauMh5mD3Nv`R&a2<VUln@uu?~-aa2|?Td%N
zW378|yBzYCz>CDPReStApcq}?{GM#*yxs&rG=^>V%crx_lSwdO5TIT@C>m=ts4>|K
ztKD<RnZ_80>YT&eXV<t#0q?^Y+YBZo7zrgnvl7Ktk*K@9dnv9-XeFfHgQOqtgxh)#
zlT~VZn=>M}(ToA$-EjN7^yqcJbYapxbNY?_vg*7FLYI;zB1bTn&z%z`9ogwa5%<-Y
zbm8OJ&7ta5KjOVN3@TxDTVvEl;CHH@KnO9F&ZIyors#jxjgdJcM{$g)BG0fgB{U}@
zO`CElQcNWORE{$ztIj1Wy+)DA4Shkgt+L*R-1~?m4#lWJf;sdwG8j2o&J{OxT;9z_
zDJZI5W6vpPn;gfR_*06CgUixINj^6j%E}&K<k1wQ)1W#BSRV9rbr9F>h$}fsa8du7
z0&Exb$nTPL`<^H-;9p54<l!jGbG{oR7zkUSHBV5X1JM5i;!-&?M#MTQ^q@mel{0Ni
z=Cu=zv~h}j*z=y7oH2!-iujEwJVkPXjHll=$^eK&zuGC!s(gdF1XseZf{gRLCTUs#
z(CG!wsCGska+0>FezfFO(}=fyBWTnU2Ke>Oi-)jMVO*jSb0$S?v-%2mL!MaEp3_10
z76{f;ipDTS+O!n~rr)U+>9}BTF%`&GXO0pha-~XlldbPYR-r;nq|;Ei!HI!D>b;-q
zD{tMkzTIr*ac*}(o<Cw+VBsPRQ4{N;^GHJ_wiFGw^#wMSVfC%%zTk=VZ<HdO=Koga
z5JGp}0z%=_rpDe+QBZi!+ySTZ1>6A&`?P(1Zi;jpQx$A7LF0o?8@6S?mL>w(Uhrg6
zS^B{p5dKzY5_=U>m?`RCnE1gj#mh<kEU1hf90;K%R>2R|bY7$~;w8Xus*<u%D#I=@
z4L}z5>jWURMgSEChU}4gx`nnlYZVg*a}RY&sT-a}(i$)eK)w@`^VgVD0R@}}q}RQ^
ztz2O7WzPhpV<%duuqUrqcGPWE_Z64fPveOxgr~=$!D4R#sSomlFe4Ux4M;72d*kC@
zp}h*RBZ6P=f}^SIbXFM`+_f1h+W6Ni)f=dvjYiH*SyW9-xwux!PrWGbD4hvc6CknH
zRbE1{dA|q6;Y|b4HfGW$JX0kX!@AUP6*kr0L~;|tUDL7YQfk)tpIitU1=Jf)TR_`g
zu&C`2mW8u(vt3XTqe|ojROHHx2%KH+Xn0a|fM3G(Qz|0V-kA{WEsxMMX*!707*<LB
zsag@${ssh1hr`K^jp6*X&3fpyqJ5ueFt@v$tXG?QSMs@UDGXY3qX(~rwyL9kGJ20z
z+|4`{xc8Pjm}1auWjk1wsSkec5)#&6kU-k%8?vn6z8eIw95YU9+!VjJQ=Nf-D71dl
zR<4A<fk(|MpZ)!<h5L4XcKET;NRHR<u!<j1OEug|6yxH$YSnD^^caXjuj{^H7kh?y
zW|V1WAc;kpcsXZN!;r>0&@YT@?a;hoN>0IGRJ4#(CN^T2F+HbfahEef%g+zLm22g*
zY7BmY^RgKm7tD!2A3~fZ@MOD<Ie+&lYj`|ARI_@o-0DX5=!Xc-f@K*9G40~@cWu<k
zo4&q{PJNPh)+e8M<%sh5ap8^7Sp8mSTQQ+OJ<1go!`)Q++q|h&iv=Q(vA+enDrMA{
zsOv)4_hIi*PiL5~lXeX^5;0im%mT9#@f2FgziPOWMDh%yXYbNqfpLrfknnG-@s(jP
z7UPX{7?mCijS!vf)0sQL7uRv_s$P+fjny$5G!@f$Kglc=g}eK9WiM#F`5W3J<2s?5
zK(he*7O4~X`*wMrl;Uut6c-@Lh6vVS9PF85aJH*j#-KoT^V=`SwQH*d*NzF@l*K+l
z{J+pAH2zc*<#4AbMk9Z*0f*`uk6;?b^xjSY41%53a|%*>D@m0x{zrSx!+JsW61|q5
z(HTcqEmSj!lgJ{S-1l4^2h;rT?3WRnbn%yq-+UPY7yF)9W|gw`C6pPC)nEHE6x8r&
zs90xYc}k*8sxFO#m1_D6e#JVzh-0XzoJZ{QcQgNMI^*AN5?WX77;yi1Q8Ok%d%Jzg
z!XTY<D+DT+dn2nm?ml<q61VvDrUIp50CJPU)JPZ4DsdG+Sp;%Fz2mH|0w?|I?mK-v
zc!U*Q8of@wm3?IZ(_m3#j(#7rkuG|?Q3p)m1YK&_XsrCBT{*59&W{~vPs=%wB{REL
z&SPA>bx9;yJ!pr|pw#!*_LOFb3X6j#)E=#G+T7#QW^#UsU$owc0-t2_`!h)(9~oQS
zt~SQWhgk-F&7NsL+gQG-nREQ1ET(@&;I}yNu53a#H^-s6xk9T}VC7jAbZD9*>G;v%
z@vKYNtamYRAs=?GvsN;~p|4%>(NwN!-FjUh*Zt}{UXdt-?j0#WPjj!+(P!x;LwtKc
zisTeFG60%+*DQ<&R&ma4Za6NhZwhVj6a^}+r*vhSu8*Jd_7?v3ADjgjqmOj^Ibl;A
z_|b~iq&nBF^swnmGW*s9sb0HP7bMbA18^v2Kv%<!Si>}fjtRr_)z4D|Jc9=rzb}+{
z#(DI$s0_SK5M~~sDnA2A>7o<yiYWLDd4flzF7;P6%V~e~GygU5Xzo+z%`dDa|Esm!
z!RMdJyci#K0xjwD>RIGpyLt%aIeilw#B5(*kH8LMU|5E)w`CU6({4RkBPaa&&PMxI
z`v|e57H_;qr6Okcmlv91K=M9949BHJF?p0<%L#M;KA?<T*oEdDRZB9DTJ(x+K4&<a
zNp;ON9`jC`{c~^#`3<>YApE;z(lTIAT1!|xPush2S>S@QDNL&L`o$je;ZL>8KeXOQ
zzg(7RFJWUJ(HsB$&x72PV|ZF?L6+@)Pc)ZVR#1Ozso=??$i~zU?LnI2M}LbPs|^(K
z8+)AyahScWuI>{}n?F^r=kK9T0caVUob)bb3^%O$7H1j5JC<UNUe)S&^NQ}w$$d?5
zi>l<n_V1n${SN>LIsN`~_W{+TL4BcO+0~U`{%iyJ<S`L2TyZ*G&t@kFEVBtHkF&L}
zR!bN{kkNngEp5PNOj`@%$Ib1$DU4A8U>s|+VIzWgOh*b;b%{V>w#OQi(3N6dn6Wm(
zR)1krWLdoe*Hc*N*a)1-<Nf}NYdc&}R<ZJOC`+;`yKHgXEH>G%s#7!&#MDxJAiJ>g
z*rXO8tM}5{E@N^g^kd@XD|@VHcd5BmdwL@pRT0?rjcoGQwzqUc-^|^w$%W}R5Qzip
ze3?4Qh0(I5k3+4z)vtpN-|YC==>~{a+0QHY9nOVmCK^~+c*NDZMk+J;%f9rbNXGn0
zr%Tku%esT;l1iIWzNn3nTgLw&LIlb~t7)`_-_;UFd<YLW1u7m}e~)_71AVI!C&khY
zLyQ?5ag?u?kM1L7@Lv^_ZF`On5p}Uo#H_kwFfVdsN!7ymTwk)u?b(b^*sb3GT~$!#
zp5iK`7=}bm7D~0TyUQ$a;)_HkTb32lQqjiQ{FtS{GvB9>&oNO1JX2)81h&YS4Cb?8
zgj<*wkFK2V_9Z#DM*flH0^FVJMlAqVKOsVPM^YF%gkCe$m?aS0EBKe^>$&)>$~jhC
zN>}V+tp+ZXw5O=|x+Y2EX+s8u72M5WeuI({Xgc^~;-o~g`P7rE2?Qo#;HX3;#rJUu
zC3#D{E{FMn(Uygt0UM7d<~W=jBU~`Vtnfh2ya%&F5Tf4pNEH_?5u)SF;gT8~Tt6}-
zjfem%NEdA|cBg}qP@LX9%o_%tOyVSR&q~cjEYo!_LeD1lpxkbKsIHdpuL<c194{(F
z&>1DYEvrFqZ?PA@0~_Xkmlj6Ar*DaUpR)u%o`pQ>p9msun%Z<)r@W1~ek6{fnqz#f
z0wNRA$qlI+pi6DYX)`7^!LjXKtO}6;!wveqs!Te`{Z$jO-RoI|vX}*vun{g#ih55;
z<@v^Qnil0uo+tQ~kkB!k;1t9x$sUp*Jr5w?ub7Wa&btB3UFBz_C^!H`W}`>Q!_xQZ
z7tEF58ojdR_(fa{2Up|hD3emMR)*3ru$9B**ZQ8FzY7s^3YGdj1^9oEnCAdSU?4nd
z!)+LJ6}QK0n=$xi(yP;Z2qJD+T!wmd)s!RFBz&ZpnUQ>Z*@$gbgK>c)3Fl;LQcC~D
zf!j2vqYPTA@%kQDHg1RWttcq<8xOs0&ZV)#N?5(bAny%#&?E*^25iD*IgaVejD?q0
zJ^hF+oGg5}OPw!xfPDl@VhF;~?@5Sr`&DP8;JLBJ-cB;6G1Xa;W=KU-(UY!*$L?x5
zl8bj0&sDg}OK^z%@AOb)^zmYqBEbLm5(Oh`D!UjDi=Xz!<pHmF5G|+tp81`)()7Gg
zVQdT=EAnlYUo%t(=UpmvCupIVC7W6kOAOXHW{iKGZ;?EbhV^T>iJ3XKIHLcim<3}q
zdS?yB>EnP`AP_i5y@7z7@?R73;B5;c|2-PF4ch?Gx5RpB7!*sh?DcUzLZV~I_mRBZ
zyyvGnY+-Bhs*W;$F%*c`UJKYea=F-78$=HbbMvz>6Q&2(@quRsh=NUFZoF8Zl(CcS
z!_DkDu+S)QK1oi!Zd5nr9&Z~)s{Ta-)wW)aBIDd~*$@S<ina;#sN$AD57aih>EUm(
z*>=nEzH$nk08@_CJ8w&~!&!Hxw-z@Giy4$5P2?%Iw_AlR9I5OV(zA}mr{U*@N#}(N
z{=62JT17AO)9;xqZa$^eVVc1Yt&WJldTHU^;k=|yZ3a|9*qbn|-VlA{p=mLGD`cYs
za>qzDCzm0$WT<E^g$SJNB+@4jFIEkRJEa<?S=rU(tVxy+`#75BK>Cb#znKdAxD?8M
zEtKzspT1jfVrdf51jqy~%0`qe)GT0O1)3hor$`)I`!5fPW+zNeotsGr{~R+%Nn+B~
zwk<2+^>*Z`n58J}1O^%Xj6<PMAc2{|fRkGd|DS^*8Eh+2*f|IVb%{X$Z-lOj!r6@A
zgzhl?UZMXFH~|PhH0#P8`9`Ufd|jyVrpD#X<ziyd+P?(Ly405O9(IhgAk!OX<C+Js
zO3RL;VKEQy#PYYTxCg9!KEF&YhK+}0@6ln%RrXtY8_2UrOPeKCdx#YOx339`Q*UQm
zI^{!(C%i-CDuv@;bG~BwvWzcn*C@lknH?)SQ~Rqzkzkq^q;_BD&)Pjjq?=)>`L&X+
z!+9OiRAD{$HuieK$%slq%6;W1qg|leBJmPCrs&cy$$qZrT?oyKufF}<=dkf<8Mcpz
z+wLNU4kg-}pTTqEW+iIxJluG->wzO{=7ddrA4oEP?s0pZ?IW%V5kO<48iDT2hu_wJ
z{sV;h>0u#74Lffi6D4MRFg;>2sWJ|Z@m@(X37kW2vg4d<ws3*GWs?1Pr2*y3hfaKB
zG>OuxdWY)Wto5GgBNKT?pAvVi?la?tT21uRQ#51)15&j}BKo`y)6Lg9ntbOQ&selE
znv8v_iZ9tytQ*DZLW-PB8Gyx=a^K5Nqt&!Hn1l`y2UR|;po7<ag=*fbvv<ax(5}#r
zZo#r$!A}W}mSkThmz_p+WE~g&1AHF;F`O(Kue$k1qUkd|+F~_$h0o70U{(kbdM@fh
zDrC?mv7Ktw^bIea>=P+Gh~w{>9|{CAOer_i^|Dyk{SV-^%;LpqdLvrt&6A<9n()G&
z*;W+`cw#n12G|Zv80wr`(e4Ok^x0v*UTGi${9WjnP^n21n68jA;h>f*<|_M>$_{rh
zVxta(I=mdVAk`<*ETp8QdYi-4*TP?{<O-L#rATHNi+WgMTgg~Cf9I&LnU~Ht14=L(
zpz>VxUz}b0g%b&sCbM2B7M8@3JFJzvj3baYY@Vl3ND`YRGUV-=5mn?U_9B5-2QBX)
zqx$C~W+#H@<{zv|bg54qX%pA?3?D>GcWl~l!qggxr4~6$3;Qco$07-_G5xA}<I2pu
z$ALrCx8AS~QTdq6756TvM=7{E<V69246MhNNpZc^^GmQwz<R>5^~ra#^?|X7$apuS
zxwgOs<hRU|4{wjD&g##A+xQ{C1Z4HE<Hd}>$g*uf@@gQg?Pb*kZ}|wDXbER_L)o^|
zw<{+s!mpq5XvXdq<)Elak`8^%bB~Gg@dUjZpAhKJxvK@;_T-N1DTSdGvytR>LAs)P
z+fDI>SV?iJ*>uJPTpa9yGg0buL0#P{B{m`DNazH&5yB{mm(!hDx*e`h1+tfrEb{vu
zXoj|WbN;4%O#P4?)&bXPO|+OLq&A|alsL6Cs5qE6QWN9+1O?^t_|n*aV7RfIzg`Q1
zB`>+VNbU7*hRQ9Uq_!u-8~ud1c=>6T@Ti%%-_9ArQhc2u?KPEu&!DpdV>#*cx+w>L
z<x!Fk{M*&kt33j2Rt>j<0sV4Ayf&BKczSfa_z^;|t5>98EyoJ&*gqO0RXk&VMdn=U
zlkuF=DQwGS?2yfG`30pANki!ST}G=-_0~r96zsZ}5<;o1f%@vJ(k7>Dii=IDY+!`W
z;0?snhQD=c3tTy_OsSgw8RpS=fY-6Z_~{x}7`oMQoVjH>+yr3)+*h0JUF;qc>81V$
zfK~kmxL1&Q+ZJ&T`NQz-8|ssia;-XP>T{Wt`s6A8)j6#?Sx;HskZwl*?|6FA=eSH~
zp_e8&_d#1%11-@WdjBr}0}Pr3N%|2f@vxZff45qQNyYp?QIb#iWUDy!*@N8vU;Z;N
z=Q~lbUD313_|!z`eT8h!U0uz4y3er*K+ZO|;eca{-xuNjBP~yHAHJYg95ue}lia0c
z+1h4DkJ@AYlL>u_HC9%}68Bgk_Tm?TH<lO$6!rfBaKvHhtrruA{{gz??<?XvUu^wx
z%_p!SdfY}ufgBYW4E_<mXZ78d$9M#;da~aH<_h~?LhrpE^L_pUY*k1+Gx|?TivI`b
zlMd8dKn=0*+B(WBY79MWBSjX1vx}R@TO@~l>CMU1Z&vzz|G%$bTs#iC&GnlV{ePF`
zURrf$aB=-@&MHMx9y&eFCizXkrKfgipD3#HDghM-WU42R>yu-rNbm$|-;Wxh%rnz=
zdQ{}Wif2;VaNMt<V6_uAo89xw=fn{#5-1!PjEYv|nfMizp!}r{3ijPbT?=UVy(|K$
z6ABH1+g64tD!S1xy~0s}CQ1MAX_<Sn!Os#G6DZ#O|I#4IvHU?*W{x;J(&tqF#d@2}
z`{wVPZ~dEkvHLUQZht+4QiA0!AtZ@}>m>gH&`|$cWV1tXUHekGTP^HI-iYldTh?y8
zqTEg-SkHglN9D1MZu36?oI3x$#3S@_>KT~-EhM%rL7Y8+3+2=4rH0iUiV8Uz3pM#r
z^8aP%-G)3BMeoJn`LiUdFbqaHrd4TMbk`T8+kDaLEkZBC{JU12`ppVLdr*^2?`FDh
zO->}V3ElpVTIIw#YGGS$t7`-J{$e}Pz1hcCd>R*P`|_xYGhVz8*~ZCc`~O#>Y$wGM
zEuLOg=?0m!Eh|yI+)1%@zilh?Dya33G-_nK`<H`*-5vxs__zNnAU(cEa@!0ictS~K
zAG|mrXGsrLK18s&(&*a%t6*cd4JK-m;pke_PtO0=sk}_9j=K9j70gFD<1ooZA61V5
z{{gZff4Kgkl2EO(Ax~Mc{Y+B%`^g)Xq|%e!88UAk>>nc9*}{VTZWN6&FSfRq`ZL2q
zdqRg&pNWYm9Z=bj{9jf42Z(2!v<~aju%VIMG49hAP{WW}EWaR%GY?12Y3={=W|ZAy
z!>_M!v3AIGLG%nvP+JCn;rHsv@hOps1NqB7nyv)PUqUB?MgFhOj1w>Z47P6fn-%{D
z_+MUY)RyTaJx*4y5xj*S824?|(HEyH$-j30SAf;8^vBcbmpyB+y{8vag&cl1zORrv
z*B62NfRd+Dqp9D$u{heIuaihm&?S;6_sfuL{A&1m!&}{whU==_eRJ9c4VObrelnY)
zM+D$6d5Ajj^a4jPYp~IrfX{Gd{d*Pky&$jHM-i@pi5ah36o<f<YlW+05R(}*r4OAB
z9LnRdAK+)@HoFe;!q3LMyZ}9NS1npCdBq8yhrqdog;<Pgp<bE9v108AL;CkA67xyW
zsV=^-3pMuzph_}IE+vrsvyd7!Q@S$J1hx%h(3T)b(E&Dmv%jyv<0}?wz(?1ExKJqg
z6^@j$NP9|@1_b%@FCo&z^b`D?TnnjX4_hk!;8B6!otpU-hPvN=9IS@N?uGPP*i7ye
zdmk5*QL37B5eVJfsgJPnx!65#iM6w?Zi=iI_+4{Y59cgAY6zK6w#<$FI}52WHKIdH
z0RCF#d}CHt_H`g%1bRTg#rfx@AD>0vx&h`6ZRW{|KQ?+y$u_`KYT+N7PPTrVIm$b7
z;{6Tx?1gCp=X~cLW`*}ub)fA^1%M*A$ax0rw`q3HSW;UzB|6IEE!>P{=M95LCh2ij
zQQ#H8V$dggw+dcT9ybWDX&@c1iIazbVjcp5Wal5q%l2txWqII3UMsrAbFFLS!!$Rd
zHPo#m2QF*_p9TB5I1Clk@2a_96}5(2u;L6G*yM2pX_6mXTIY{@^jy?=-I-S`yBrp0
zPK6Gn334&;K(#U0ji%5$zpbGQtst)6d8uidx(i}~6MAloqlI$Bga%(P)mKg6WMQ^$
zicDxDKlp5Q_HT(tp4%_X+0?bBYlhsY%F3l5*$U2I`i7)yT)lPLU)~xt&BgKVlUe(R
zKmMEAWu5ABVdbsHT`o{Tu)r&F-sCN@N~!k8F|AdLwMfBqD!w0q_;;23gyl7F59c0u
zLvf`UO^(QKvAVDoE>vnF=`gL2EWIkPTMpma#|-L^Z{z;-{>e3tJVpL~|DEjrv2~VR
zZ3OBT4pt~dN{f37#oZkW#S6h*ibHVs;+EnRE$;3P!L@jBch}(Fn{)13_tX6Wla*PS
z%)GPTz4x<krCj#QDQcbh@wyYpW#mE9^~q%@ODkHih_oN_(~K-Y_;^wUw=qNw5FQkQ
z1W+0LjYJhAmshc#<G(B}uQ$YoczahBTcXop5k7nNDsx+KQhOqpY<Bfi%J(h;de|{i
z#G2ulkzc(Dl4pHO9b4bz%-(7zpEDpFq7CI@^d(-fF<fh687$#0AWgL)Pn<R+0%Cjd
zVG?M&`dtXcFk&Xp4(N1PS&76wvHt_`?x{^*+lmauQ(lq6-7I1JaK2h72UQ53FPyM>
zCi2?>#gm&Iue5F4_IbiB2^(8dCxfd)CIXRm1wn8FJz<Rc(vp%qFb#lOgg3skJaa57
zsr`Y`j(-q$&~YiSznK)>ghdgM+uQu+`S9Hb$Fu}<g0&RQmTd9d%<D+EYrY)Qegyg3
z>^G*bxY=8oKd!g(h7Q-~f>C1F9?YaAz7f13K*jCn)3N*k#O)e|Rg@kP`=z0d5n<}{
z1}n3=poLR;=nT!E^JKBWV&5p3-BTzvHwFxSF=la#0o@w!YO;WI#dUlhDR^cqEpUEo
zG*DUm1K7dQDkP|VZPvjJP0i|7pPPOQg+uxsZ<khh*EnUlN`Q&3_KiDun~ui@i*--p
zq{AOtoA;?I97F^!(&tX?n2hA*={fAo!i{S57wtGc1okRuFP2@`owYXD3XPAN6U!;q
z!>_m^i-**oZ)aURb`r!JlH`}OPfQ(B)Q2m)Q<fz=2~mek0wE!ua{=49(3@e^Z&Nc8
z?;p-cjq;I7P$6EgCNP#DvaL$q%AcW4qxACF+6w)bK<@_cjz(QiQZ{g(Qa$l)?5yrc
z!Q(@e3K;?!CaV}jbg~oqM-sMmq9sW~WRCd}jr>FSU?#jGY`H~0kb9&uld)YFJJ>y_
z;~sXJ8``h0ospHqJkJHv7&u$VO~)A%70<BnFPyBvS(0><GCZ+kKd&m182|0JDaDbw
z(&}~7G}QPH@TqusOu@lF7DaMbGsWA~J4VhKvn)o(n31W4pHVekwfg;=LEP=jt2C7s
zA?4~c0A7=0CPQJJ?MK~Iw51~sGLO&YNtfe5c>Q2nV$&j-e3&sCuBHK=+HH-?dCUHG
z289vbthHUP_7Px#DL(y&6VU4_>w`hRcj+*bC)HZH^-pRMxurh2(wj=hBINkNAe|Yo
zy6N1!d5Scv5ti*qMBfof_Ha>HR~LUN)8A15w;kT!>oMc0xeynQM$trHoG13m)eraN
zj;vk}d-UH}v??Wi-#xLlBuIABMvmxC-iLapzB`~t&y9=);87~CwNGp>TjPtM%y5&D
zDDx2T)DZE#vVu-ZL@iJS4F(Ocv2WVHu|5A48e@bs2<p@J3Ai;e_qjP!SJ*vKBh^$W
z{W@U0n!YuhZ+9>Ck!Y!hbY}Lf!Coi#l%)Sm*vubD=G)@6TaN1g258+?3gI&zyF5JD
z_)>f{r8v4}HiDF9K)w9*hly~>16w9YJ?<p#JqyUB^;&fWzi)eE%zp!NkKNz(EZKv7
zM4fF*mZaSQQ7P2F;?gy<eFFMC>~FL0owvp`m__C1vs+se8_Pk0^JV2VwSjETLsjFV
z!T$gY>ln{uFsi=W$L}9O#I`G0=EnZN1;Ys|xbM4Rj9nKVqW!!bRQf6-eF>h-MUfPA
z<SFDc2#@%9Kt95vO;kP2y}PJ?0P9ZDd#fAKcfAg$Rm+ACV40oebc$VF_Sfm3oUplH
z6~}2j*^`ThbHy!WLeq2pqT(VF)41LBjeL)q`)d)fur2psABBxyV?cvfXcG+Al*Akf
zL_Rxu&{@A9Q-A*JeN}{OTNDQoH)~zEHbRr-$Pa+8CDL^rXup6&?1Z5*(S!B+$#b^1
zJe-j2JWi7ip^X6QUkc~XoJs;{x(}tM4mjn-4#nO!0F7j;z0lnp=(68z`l67iMF(bp
zB@V^VaDYZ)k`z7kt0kBKn*M8CTfJ?>jIVsz$aI~nxG3a-Ns*I?wyF!t@Pkz)0ldch
z*?Go6caj2NfL;IVLBT>tU{V6<B%+N$Gj1Efq{?-!KS_h^0lix>845EQ{5!xu(nfVD
zKwb<J9UG+o>ww-_cFmvtJXh777OCknH^VokLH6E{fevXyiI?W<P+^MuRkW|wFcE_o
zvT?esYRp{w@v_M$UKG3f?JH9Bfb=@jn1S>#(tTVuro=w!z2WQPTxzzGyoY&&mTRtC
zF#^8f8{F8TNc891qCuNtU+e;Q_oU@X^CB_QQ|8c{!ewd+{ORt!e0h2zjum3@U>T{+
zdiS#T2DL+Y4+e=J?3QqoojxJ>Blcu|x{{K{Gd8>GIz3cZ(TsQ)M>y0jT-1<_9e%4p
z8HuB))GtOj=re7RQQ*{<{-m<QfG9YZfn1&v8Pa-vQ#kl$06ya<5@yot`y<DsK%1Wj
zS}5r-!4)*mA14ZArrILGjv3pMQp!!0ped$kWRKVnP6~ROlHrdt?;Q6tvVDb1UKRUy
zoh7d5-w(bye8)cErS7h&>)*AbRsa@NabAZ0jveQ9xyGFfqzuHj(*6?&nrsq;DTX2r
zMx*G!Nklgwk~ZXW4Z6?6dhoL9Zx>$@q<@&Z_VRCwB=#)mzT|Fki4Hg#G!-pXRFo?h
zcd3_yAWSM}+Hv7JX-JodUTR+=21!+ylS!~NNx{1kG%bmEp=)39NX3x4^4Z&d#L2yn
z0Rc3hu1lTQ!ImNoM855A*+xRvOg7C!R1njH5K4~anoqqS5Uwlq_sRH5lhgc`WL!*0
ze@%tBE0vIID;J*>%-2aL{>o7vCj>KG#wZ@1>1i^~I4W`?X}hKU>ZM&ge>49|Bmgf^
z3}_*wT536(N+hUUedH_+{Y)6*aWHpy29ab1OI+RMFJ?ll{`$KdYmu3V|L~_b5BU-~
zu)z@*i1`VFgzLN=p0lEzefyA_CKX_v+dgLV=UY^B^kRiFn;lxe#gR_C8;-4Vhuh|R
zSDLzc#n}v@y*8XW=iSo{Z_UDD#nxMR+{yP(M^TI_3Gv5UF8Y>+)~NcMHmSl2uOyA~
zo!wSCGHcP^q+JQU(RT`;CPw)Ye=*Zo6@4_6-(!0!<wI<o!WYS)pD6)i%TDH>t({*>
zxmc<9&ugW@b|ZfhLS76Hgu_zj(r{Vj-UYJd`oAN-tn}`Y>B~f+#NB_;0*4eVckMtC
z#s10?<xyq|sQYmWTVmioPE%KBTU63ZqjID9s0Ozi{{oczO2WfIYF{1-3@od$%+Rbh
z1FLWcPGvCJ$hBgfm2k#n7RNYID*z<n+3@V)nbi?THWV?biF!DH<w1f)Bln_S3u?6Q
z?EW~HBblhfL&1na+;=hm$b7n5+o){l@2v@uENyX>v-W6URj;{hE?^*npiijtH9x{T
z;6Aq1c6_xdX=h|LQ30`$obq_&|M(!usCWEwR)6KR$&*a28G=8pB0b0JYVO%lwkgZ?
z#0$Rs)--+E{drG>f;`cp2R?h*E(4<n*2dMRw?qsxS0^eNy$5vET3;iC^A#e{{_f{+
z?@n7?>Bv$n>uI&dV&;>k)=Wpw-lfn_k6xT{uS0y>JeMn8cYHcN0a4WjbQt|)Zhk@7
zEA?4y4M&_fGsnb_2zZpY_C9Ee`ZALAyt1U7?JOED{UM;bLwnKowJwZ<p5cp0V1?mb
zHKbQx-SUN(e0lKXa%Dizb*-**On9o=ONsI$Sd1*~igX;4%pPPI`O@dl`e#bIz(h7z
zIJie^Wb8dZJ9}l20z|hsAQB-O{SFVWq$i4iNpLT+$+ta{?FO{PjuXx7Bqzx7YW*C=
z(L$YBKSxMdnEb_g8h4;sKXqsV;&DhJ?b2i%-FzsAMvM2+?gya@H%48`@0u5@<?PC&
zg0St(>(yOJ3o--b-91T>)V(~&{OO046DKGyI(xKrVde*jRLhUoZE&R^wycO%*<+OL
zBjh1Os~qR$QZOy)?t25gTQ|{!2#}sO==VX(L#-ckCghw&ag!J$A?=VTLAkNFgl;>h
z@>%U@O74AY=t#j+r?4U^IeCWeTzNwA&AHvkh{Ql8^@mltC$9$0ByNjCgOG}QfjL2K
z^Ck^#RK79Km%l?*S6HZ^tF5Us7m_cPljvzK?w=_oRLZ-%{%&|d+vO?$M$Xbs#f%~T
zyh9SUKBQQTXJ!2cp}3ywaA=Z>a(A!F^E2mV%{4ULziXJ5->PARx9ovJ>vDCiZ-G{x
zgz>0PLtey_U4uG6pLr9_sbnHPZn`!u=fe$Ve8xZ8TQy*M+fXV~B{aNAx~@SGC-`lC
zZeA^mtA)nOrQK?Ozofez%SJrSQ)PjI95$B;IFD+`g<`R(*NZ1%3zIu`MaP<DLO`^n
z5(vL4Yy3imM5`9o72I9@Y>hs}L!oY?jub|Ql1g4msG-*X0JWOI?GiBJ{r)=~ipB|q
zfCMBv_DHCQ?ycNKRq!)j>Alm0*D@Sm9xwW{rOE|43#2>-@MtW0V)yV<P3UE2iZ>A_
z3?h4N=wJWYOHMfRtd3RUTC5MW!W(Lp=d~$za5hx@u@~!lD28|aL|DHpQ;|br5+P1^
zi)S7rHU^;Os#mc{1L)9mp2~}%Ae$$oKPij7`<e>|@b}{?i=lkN&5gaZM6k?1m8S8>
z2Y)w(P9l;kkd-(}0%%2kca8@oKog2|0IHJY*Gh;MTu5muXk>I0I`E^(iYK;Zvp@i4
zNnCWmVCO$TOp7S?t|art*i2T~Wo}~EJ<|upsX+)v3ZYP(3YCpSgM_Jjv8hTQ>FJ=(
z)%WmWO+if}-1|=$-MRsAPt<hS;uv(OWgMEim-`z*{Q!Y{Xoufs=8})97_pe^n`zLP
zJYcBTS#e3vjXb+%!fs|G;7?G3hEP>9Ex@f`4ECEcGIGuqyedImjXd48jg%IV?sj}&
z1*^f}d{jN)IsxepA&ap+l!h$hrv_etT(r@)(}GJr^1#5uj2s0e<f90g^$u^z*pF41
z6u4SQ>572(ld@$k%vuqOnEWOvaKlrzn%7L6KO0;XV0WQ?*C00F3o01G5W{oRMwSr<
z<>&=o8y25BGN1OL`vSdW?KD2s$IIrY9ng{d0jMC5cI#F_bmlcQmfw+j{}F=cmp*?e
zLW+a_aimD{4~4V(;`t+F`9ywu1~7f(vOc4`;*cl5(U--X;I;_U!%?~ZpvmJSVDdT@
z<U#lbA}-pJ$Uo+BmSH8_-@`<iOdF|Leuxj%(UK%B*Ae6Ao=}?XB*ySrrN8)IorK_o
z$<@JzDrbZe(Qiz7wd{G4SHLGDGj26h3U7u0MPioH`|k;<`FR%*4LwdnMd0pRLcUYQ
zq79r#72GAd<|&Lh<<&@;Y;e(+@<*$6y8)S}fr0w@0-o*tCI^V4zKgXYPbkcnd@v)T
zS2g2^nYy)N=(OnR`)4us%-q87vt%3|D%ebobB682L6urLRHyIy1yVqnP~~8<I9$hi
zNaPodT!qTrVKNhyaWSM4?l6%W;q7{j_h&?dX<n-4anBO2yM6sOlh31~;KmAOlln+$
z;t=ISeGu-2vSR68@uQ1D$4}{xWx5;*YF|cVtwx)Yi;}Zel%Ur*NH4jY?aM(cw-vm;
z`}QC|KCUoyFU>3+h}`8~@tIe%4>uDNKRx45`x#L7bx~Zi<M(l(j=B#_%g!|l&D~M;
zb1W8!qg#|1uhub5EbKc62P)yQ`n~cI=;ZD#wGlyfDOQ`M*g(@5H17Rb_g1=y@=cK)
z0Bfd?&IZFcHfoeU|GCeV%M=WVEfi3WMR9CBk1U*a#in6HuhN^l3%hB)`J=z`R$5u}
z@2R66)TbsNGn)RSWiLgVn~L-WMd~eW`i#Gwo~m0cy9^3CCTS>ca2&KkyC>c#eUc>Z
za~2zU$LyG8z;a*H$vVS+f!EvWU|XM!v@KJ$2AJBWE=j0^_k2?_@Qx4cHamD}`4G96
z@HmcDaUJ;&z%|yml_$!+mrqMIm(t~0g+rkzDJ0^<@&}AhICQFqpSM8(W&J$MB-`FD
z5nr3W2SK9c3fhOe)j|eldkhyL<i{;zy4dKqd#mKq6%(a8imtxj7z}LLb(RLa(-!Vc
z{Jekc4QhsLLH=-<MSraj#rF`{R-UPF74-BOwpCPF?Kmve{Ge}D<y>hkS6%x_D<^y(
z?;2VmjTfxs)~3%3%vU*`&7`(cE6^Wa8#%Ks`)TphH0lq+Oy)MX)Y)Hrr>Uj{*3z_#
zvQDCQcl^uca+o|*y9{(crjQZTqx<6b<n++MZydewkvM0YQp0ihXi^ST#c+KkZ{`Hr
zrrSzpDp_0K^`nB??V6=ATL0R618fZ{DOr{YTq2^4%QsUW=QQxF^a$Jr)?M5@7u(qp
z`31Z39UBB}mSm|<u5D@eO|XelQn)YG^=;M=%CVL2pRJ8AS$kXA&!pj2Hyp{4HYGha
zUN@x<HFlO9@mvA(wL2HLY4_t`(A2`?h~j0PH9dK1(71`mReFQTVJl5TiJmpFeq+Hc
zSJbdp&*j&<GJH2@Z0wPO5zyrNVzWb+!|Tntnp$$(Tjsgt;)XW3AD=mfhES_%j1H3d
zq%Rz=>oXqz4`4Wb$~DrG?f+%9^SLge<gSue7ltxkQ6*vhrH<!bVgSij$=6x)**c%h
zP_7~KZO53G+FOFB-nIHFU72?1sfM*1uTr-1=ZwN;D-*U9wZi2DcVJocx>w7A5Q^N`
z0K2l>gc)2PLLQwiFN$3-RCrC~{=KHVz1NeuSoI^4>RTiqG7|WTkrh|EK>LriuA17o
zEG>UY!r+}LMIwsNnOUUPFpIirmA#bry%1yXpe7_n)^hfD$pEHjOr)(zkh*IGVhIua
zO<;{@#!h!P*-o@gJN}4swKJ75*<@utI(O=z0*yLMC|bB=ijx+P{>$$VZ|KVjNYNKL
zh?$mc9n|JKd=Og&EJC<-g8}t6TG%}u?je8KDd*dtv41xOxYl}IJ(o4TB?rNP=FVF*
zo8nHo`J)i|+pJlpb8~+kDRF+HV$@TGQi=zc=ypThUeKN2%~WTG^1#w-aOl^h=E6g&
zduS)g{zVzx;D>AbnlpGC@l0#c^P{w!C`ezG0(MO1AxT*F51@Iu{%{@XHy=&;50IUF
zPod_+a)0Q%ZI4r##oa0uB0E%NHtSl(jNX6FdS=ql^ff77A_VV}_2fJewqx)I(+m3)
z;&a=H;5rytZQJ~S^|oq+FX62;YNXnM)Zd}k=naf%f<I=89UMN;J<$1%S7RzHsJpd)
zOK0&O+_SYgj?a~1nzq^mlS+0kku8$&#%QXk+zZiV%A3b~;LV?~+M>NMh{(RTyMsfc
zleF>$eqY7b0=`mv?RA7E4`xzb4ED1Ubm#YCv^FN^NwcR0(1>FTAMavMW48yHx@N};
z&iC>B12mrHZJ}ITTG5ln51P*l)FNbrILDnrTYztVt{AY)3rSe~gqQp_Ls?lcK9BSL
z@i7r1gDWHN3B4w<yytsGa9?tMGTuLJC5M;0c$^G`<W;+4g?Y1Z28@|J3%yi5yO#UN
z*VW9ilylu%KzPmzR|bZ<odX)`hM(z>&QH9dx5c*RPm=BSaaVLgYRy~z1QqaM29SRW
zO^RO3Mn0DFQW8+H-~yE0S;8kBpqGj>nEfkZHnI>D>O}7-hHxldfU5*hq|1Yl9RRqL
zyx>3+0B(k*kZMgofc85Sk>2ty8vu1Lpz#+z0OW#E0Jut$l-U@+HeZuzH=m1hpZ@_0
zhW}TS_*HQ`N`-{%sGzNDg_=IonmD*rxu&0k)F?()iVOY*C}vXd%*SW8J)>q>(`FAy
z4}fN>zu~2*0MSOQG2>mol#<1)4f0)=(`NG6us=W;n%-ZH*r9$d2%RnXiH!=OT1KI(
z8KQ6)pFLFwJwJh-#F7S$d*n^xxM`&tS#I+u*WgYe$LR(+$TgpUD*B&mTGK7a(8@G5
z>p(bp<T8X~=2M#V@x0NA)Y8^h%4n&ws}GZg_6DGE9-~Bn>RL|vo5X4-pj;6~QNTFE
zQst{Jqo8)09kt?U7emmoyxW5kTK8>X)tQr|Jd*;$zQ}dv=45e>BIh{$l|Y<7AYbgO
zNNUcj&3=<ttuhiwp1K4HBd%Zf-DRdI`h+g^6Y$T>EF6)8_(xtIQ?6e=T)pv(XiR_&
z3o)Rd!_qvGH3bV>0w~i6;2b`eI3f8(V@Rs1R!52e{v!L{r#<u9UW1feTBpp)QOiA6
zBCr<;BD|y8#fMlFRreP2ZzhTa;%C{GP$@4pX1Rs6i_9{t4CfAbECRK`%Y`FC9d0F$
zwI1gZCOx`SZjP~$9U(quzIj)D>B-I%`)MJs6Hlpk1jn6>d1bqAYcs@AwXM_4+3F&{
zjg;=pGW3?8iUwbkJbRAoycqOuSAYp8GoRd1(U!;B7&8w=Q@<Shsv_w_yk1@L?~a=*
zi!7#|`Yd4vg>L()=h!-H-Zw`wr`cDte8$*bE?(sq?79o!gvs0;^<xt5x?qNAAd`23
z#^16VqFnWh<2z6W^mz6mn5}tOr@V}t`P6i)y{)r-{FhFh(P$3Z$un^s%JavB-M>}W
zT(#N~pZKGIn@SxKwlvsDcx^aZ@E44chvb!ifT06J!ywJw_=l=1R>r*o!gB3X^Xc#;
z0xQ+~*tD1zLDl^~mcFQ}YSnSp846DSaRN!-2IsEwtN6Th>Yf@8v^b}Hdq2`>@q-N_
zR?J*aQjYWGy2DUOa4sY?3$y5J(%IN>S>&cQu#(~Zt(I?VW8(S)5ffyqwDlhHNWB_=
zb!I%gX=zA3!g9&p=2*sV*;pf0vXf^^CUdOwjz)n)^-5C+wvhHKN!3kSU#JRIPEo0_
za^Nen+i)#4T8F=C%*YsfdQiYuW3fu9l`PKL%t#Z$FN9^Eo-XSlpwBC+Q<o^8!h3PS
zGkXYaPzERh+80QvB#AU!u&^bshobT4vlsA8>ye@-^BY(S0^wv;0(XFUZhG#^ojTRb
zR{jh(a&1k#q+vQ1<Jb+RlYE5suMY}*g@1Q7W{#`cRgH>jG=6h>v2q8v!qDs)k+mt-
zKsy#j)Y1L5pgh^#gnpaca*3&ASCY`qX3uq!h%y15Hl8?sk4JY@h<U$bVs}24J4JzJ
zY>dXFkh*<2&A?}VUrbw4lc2PVgG$p7xOZ0CQK#A?K`FfWV~z4cS~6BwjGly|83_=t
z2kw%1pNPu@+lkKCSP|i!K1)^OSAl1s@k4FN)78tqv8a)A9;)YNGKOH1(4#^tmSl1s
z_)1Kq^8ez0Q5WScaQMj<u4UcGOS_92`ngs2#d!I9U$T1ymg1Ye0qen6W*>v8Q|2_j
zGxh!O9dn3HDMWxU|5$Fys_0;9cc0&YlcW3cM+yIoA`3lBN!~oZ*c74wPFlo5lOl?z
zVefg=l3_S=Ma51m(+T2+vq5fceq5LaGI_9ODlPtUP^)n3!goc?Cm}Ub)28oUESqC=
zghHz7j|f2fmie?l=^HYYx`S??pX7|9;C0)F2-I6OKB_K_jad1Yy#S5agkK78^RI;r
z3^BBaKX>#HVM)`17p6A#dB)FXwH`G2uMk8UKB<^7XEFep^(+d!;s>^<E9jf9_)S7`
zGiKgDEpLCSQ3u9P8le_fj&ud0CAmjysD2vx1_V55VhpM6S7-;ig@~xAJ!v@i!TtMs
z8ClQ#$~g*hhoBfm@bdS%nJ;ZpQ7qJiCT$fzJhJ*@ds`XxE9f_x$rz)olZ<7}X^+(l
z?H($n>1ChB_l|I)hf=Gk)5M|d#y~IcAu`Xcx;uD&I&6hqaS6{+*HXx(u-pQg)=OJS
z$8n03J}sk3Eh9~xt{QOp(k~uQM1n`B5Ow85_b$Mx7cq!ucKKKZPn)0AI0eRvDg@Oa
zJXoNj-w1-kojwz^UTD<El~@>y!5jN8ER&sWg&7aA7gNP8-52@EZCy6ahSh;J89JZ}
zepO%fn76YX#2!idio4S?EoK}a&?2wK-~_o4tF0e?JJ_!O06)ik7oTEoId5=NnkJs>
zUKp?MVTm63khEuD@BXF~dVczA4YN<&MbR^(;YW*Cu{+Vblc|3I^y$9dS0e($yOa6V
z6!>nd(68VV{y)I=#C7REfZp*xz(m1ao#=gVGwUN-@=8qdEAl<7HdM%j^e)Zi;u~(%
zSupx-OyoNH=6%D)p9)0l&<0spvO#WJ@pJ4t&FGVHq0s!Wd1_>x+}e_3W0I)i<~T)B
zZ;Etq0q+;Lv*(E{A+sl%Lj(GYrZ5}hc5gDEB;AkBV7LQ>wWI?3?dzD*fdSvFkgR7h
z<Yge|2a}mJ5;E4!nN~p+<zwC+Ye;7eYM2P=u>n2gBV^0kY%rPjxkh7L{M9vUV`3pt
z6!o~Kot!eYUdx<Q(rmX1`F5PsP?J~=022*cuQRI(;9kc)Vmta!XPxDNh2diYzMOvv
z#>(4f#FSTqaosKXMlH03(n?-&V2QCt#@)})FLIgSBA`U&YAy96TG)VaEhg3WmjW%b
z5hJ(2bbv9WV<|@|Is`u4`k%Nd{Qy>Id^+YA04jX+P{IU|6>liR<rW<Q==EM?f*2q#
z=RficDLTS7H2T`y9|;<{eJqI!j}}PL<rM%v@jpU?2Dyv_>EI*Fp;$j*He!MhbV`g6
zeoKel{dYY12Y40Pc@|B?^}qi@80*fe_`7;l*6!)|K6!oJ%2_19|2_MlS17lq33VmH
zO_lI_SzFNEJaX}uG2!bxTR&1>>z#*S%>4$Dzp!%Dv({->lGFyl;3N&|=-<;cdws2H
z0+JV*QytT|Kk!YaxeHhl;q-V;hT3I=j~NhLf5xPBhp&d5AYLVGoyNz6<=Wa)6acAv
z{^~8WAP$El9!xu&p$Hl4`p+yG7?DaSK>O+qhyBhO|Cmm+l%<0%z>OP!@=tI)0qt7q
zZbAT91;H^Oo}usC$3Qj(;o!<{P2)%yP<kyt8ZB4LdGghjxt#Qa$Ky<+4&(%9DEqk=
z9DVeJ9J~qgG$IrV8nakguJ&OSmBR~I$^6(Vbm^=zNW2l0P8?0B!#ynYs2=<Tc{swP
z8N?MkDw*8JBXk=wy7QhMwHeoPfh$O6mc2nlR80__nWSImZY(C>Vi8N5_0*-r&hTWn
z;&6GeSNNU^Gs|%;_(WzJ3I753bVD)tg`AZN%JfBWZO6E&yq9O+CW$1@Rt21Aei9G}
zMf$|4vTI>HZf5o*^5JVdAKc~PX;0hpi83>=)fx!UTiHA_MOz$3s&Gvc4Lz+-c~yqI
zDDd(X6z;e-w+bid9Q07;d|{M|aG=s?a9QLa&GPf=<euRv){(^%j@T=<f^n~9-<iqL
z@MH`3yDE3i9x;HYRz*c;VC)=*dijTf6Xu<*cR!{6u&AYdQXN<Lu9;4LgJh-~)bA<X
zDjabLjA$<1cJn=SPdpU6V?vq>97N2O+Fnanq(@72@I8FH<nRWCjntRkJ&^7PqeTO+
zU^F)F<@y)t$h&-`OM<lop~t<H?7ggMO4lNzm4JmXQD)i{F;ewNleLs5;8(TJZR74H
zxI{HeMGVacoC+?=hca)Zd7M?HSsc&`vy}wU^Gc50T2<^42fXQyB`e<~$grQwmA^gK
z<H_5;ctiOsVP)=HCOxEim?M!quqtlBn>_K$4m&9qnEhNkd5ylNR%nRu5&bIlhRBqk
zWpJHauh}m(R6#^>t7XoboF8nNNtd@7%3%%mPOqVyu2d6<MdeoiyduM$uOh=u{xuf%
zE#lI7E;Db0l-w%+Au7!l+~=70v8!KhiY!$aWVxss&k3}`&BpzM4F1frxR<}6!GW-s
zc$*N{UG%{Lp@c{ucQD?2dMiAr`2&g^VrFxGVjv4bX&c@zjWx=)Y2XMW!p&BlYiG;{
z4|kl;zeXDQw2~9lxtZsAoCczm7iBOH4XigA1${aD2;Lusz3|nr57WZ1L0_cGcL`Zt
zMeE^fa*2fzjdzQ4ee)1mRZX>Rn0(u{zG95NA<q3HKR2e-nY;y(3;t9(%Hw?6(Jg@i
zdy77MY{4__2N~}eoofo5`!#9W?~@6qytbEhMGRT0@|)Nw!-e1P?rMqb^LPJ1Ti6MG
zxH?_K><q_PVkV!M%7n%^9_`sibBI~JxS)4=udFmp9p}nFaXn;x=q}$4@eUP501Ldr
zZeM1!qv@ANCh#=BHxVS+ldrF_Qa;YIMd3zPgbbP(z!7Ei%4%c@(G#6j4_WCJErpyU
z(U~Ud{PbtZ(yJ_M((?Hp(7o}EccC0o)<uToR%dLocza;wnZ^zH-q1y3H$<&kU9Dp1
zb$cY#C?s7iQL@V2WQJMD%EXb1-j9{+?YUl6M8kH8K3h~B@dab@SI8ydPgfB2N=3Y=
zz`lzaLCrkz%&vKU$3@gQ$exexy40)@eq~J~W|RMRO3K&KoIsAYnwFvZ8kC@2Fw8&P
zRdDq^2u|f=5;1oBLv2!0yfYdMHsT);6>u63@)sp$VvO&8^HWtLnBf;Vdd(CAaICRs
zYRr>WNoU3^$3e*=Lxh;)Dg^7-<zVr|BMp(;7RsE79av)1AjJahlq6ES7N6#k$sDTk
zlSMPq3%hWECv%koJ^LAQY!JreG=&hx1g)a@_$pX)@QK5X?HW!fFmJ3g2sWi7s%%X!
z_rvj};KvQ*r;vMP>D;iwiIONjYNCsxe@l4sXm=*$nIkQt^4>BQ(Y;zQUQG06;fgR=
zLP2vK%-)u18cLbz^G5JTJL}fC-;S%_-&VNEVM)k`0~!7_cYk#~-$yENHmY_glj2Np
zw{8>tHsO(g=RbP9X{lP6_m&GXbb3cYmlYt24}2c4dQhF-Fzk1{YX|)UB>HNmS&@F!
z7hRlb>x5)tKd#5T%K6>1i0=4U=dOBOZSD_rVjp-7hEvbjR=r&*D)0?s-f?q_67DT`
z%sn$V@kjCLgz3dSDR^+XJ(N|y)VPjGOWc!`j}_MC)!Mi#mKK$ibXCf#g`6cEAGkQG
zONJK&^flA{bvZkUSGeM?6)3Y`lGuEi>);B1mav=;xkb5p^Uh1Npx+U9>Mc&UI0qp)
zS{2-fd?CN7u-_en4O)WqH{_4k{IwtT=T8WluhQwAd$!tM_1-=aLAl5Zm&^>X|55kQ
z=}{ZB1Tnd~I+3>zZ$(*o3|2m3JF6D7<LI&xxlT63abc8iBeCd+8EgLs7x|z50py-H
zV1p6uvc(5k_)Oa~lI4vAbWvO;DECCel}qdWY3l*?=b`fM9<2!@s44pM%uy}<i~*0t
z)G7$b&d`iziv;k!W|tq%PZ}SC*@g^n1sHc@RMBB_rnt6VwVD~36Nq9-V!H|KBV4{l
z6Sw8YOYEDSdUCxG>CXm;Kb=JX;hX2Xok0SG;Sy8d)f5&8Bu68zb7Jcle(>0qx=3vx
z&Ny)^-0gF;x3M#s)a=egzYi;UmbgE?nAV*k{PU-RJu>A$anqpU$zGqt;)3xF6><Kz
z?Uzk43O(x5BSLcQ&*@qS@z$HZ(p&H!__IgRfPId2+<}*0NGx8HUEO>BF;mGWWsmu-
z*o&|*u0K^L`Vz`mEUfVKE*v8-@(+N4O*zBcbo=O<pG?3}t~9_gJ_ta65bVq3hQ;(&
zg}TG64Y;S5m9)P(tbSWF4gMHuOT=H5UU+}Jokiy1w<R6S;#!tKmXw+7s5e0*>)3{D
zGP&n3D#Ox2Wy#aI_;iC7-eKFg!y}OeI^-<_d`0Dc=-yoac--;kf}lsVaUD};O^%d^
zfT=7qaoXV7>^^S$=^X#qOQelFuJGP9dYR{#&QJ&N1TR0GO25ivyt;m!5)r-6sJO=l
zPH|J5gwE!~>a}5Uw417#z>VzvWTIUiY}2-9SQVuQO973%?AxR4XFL8tTHH$112)QQ
zt_Bz!yy*y=P=T#A6k7?5w+W9OQ97FWAxUz0-5fEVAbdxjXkf8?oazUBI+UNzf`aJ~
zIJ}^dY4n1Vh#Py!ZxV!@rR}`{>=QcJWc>N$Tgjp!016$1F$y^p_|(W{4A-`H<t33P
z5fP+3vte?W0F(89fWejj?B9OD(*sWl7q4n6NE-{A55pV2ASndhOwAd!&)<{aO}-KN
zKZ@4c2g^7+f}>MT`(;VJ^Dw>^YlsiW=){>X0al?YiNC~={H4FU6uTkCcX|0Tc-VLG
z*{59N;f@wS7}Tenn#6eo_1KVhPZdADm8LXLtf{}-Dk~PO6(n|}HU3+A^DY72=C9Nu
zbdCGXEqxpAA#M5mMhJ^jW%ZZbuB0QCt@B`U+50{?nYgR8M>uS*JO`&z-WzJ7zsPh_
zDi`@<&L*Ct2{2Q|v)8@9mZA*=<(JDRwPHuyZ5P|?5M^lD3VTh*%@}=sfY5gsVK!AN
zI!gv5^g7Iy9^uIiu{n=3+=TR3nrLg<O~=1@lux!rV^^sHaiWUs`SYI#68mQ}SkBD6
zf8u5(gGZwFrGGe#=urABP`J1j>GqT8)24`*2+iub3B({Ch*&<E4#%8<&mu3D{iz+Y
zbVi{K@Azy#(CsJz1~^rRZm$IDIM~Vf%Rg`Jd!FuCXf8SZJet4yu&u6qx%_Q<_yN6=
z+4Wuj=pDH@#b&slPDfooaXKC$Sy}pQyER#TDBYV&!FioNsjLgigtHsJosR9X$3&g8
zdvH|ch~%sNxd57rwY4e6*CgOM|CoLxGAZnYk@G7gL9JHS5IIW@N*}s2&#W`c&^D7e
ze#Gac<qA@kNs%e%KUN-vGYuHnM2wvkSHw`cL!#q9#)-!&2#6OIy-CZSrcSULa2_MS
z_WyCE@<WC2Pc^0#;m1Q&ggCHNxDwL$0M9Ynw2pc_B~LxD)i)%nG&eD!p=`&w^vJiv
z$4V#2Na@C9t04SG7iQ{sR<b&Aq_54#>MZs@8un!IL<*ZLbO)|RcWuY}4$t*YSD%|K
zIEKc3$8<slyv)v8tS#(JIm$>K5RUcm?jr5&OkK5kq<{bo>N<V^KD8V240U|-xvtdP
zkIrh=?*0_lVf$+(EBdkyU*kryoRy?xg=UTssQ8Z6b1{cv-w)D8&%h`FumqVQX&p%-
z8x>{{fAa3|UV0=pYNV>(3863p&lkWCXYrYgu;IHHo#1qG6uD_4zyv5nDaj;##w*ci
zw6tv83B*n1{{2biobRT1XvDE!<s&Wn*qx$C{qQ?PILlFd!}T!whGh6<`d$U7jB~c~
zMi%e09AGEjDpU-9@BSWcPYZ6-3uF99gcl<hvWpy>SL79~DO9S`iv#CzS&C<33EikT
zd$X+BKgVR2XjGbU1F=@Diq2)N{JuQaeE8JH#Hj}lAP5mzZ&_~H?k#x?^%XlfuC>Ot
zNgEkhz<SlP<S%yHx;<_UOb=ohc+ij|=dnIR^gy?+1ul;+Pchz%MWku<j(lH6lzl5Z
zdFS?xHrFw<4tR1IP4!n-((5QHY@`t^y3P%hH$BQL?C_6RKdcx$$U?R~WeLlweQZMP
zks9EZ#~<svFJ%-g)@aj88WHmb5IqHHjr#QbJDZz7@>M5oA;z3RLlvk^)pO=aDg#t-
zXa!?myCf_Ej$UTwS{1QAgcDn~i2%m+Khf^ttlNQ~r0wyqs~eg8i+Fz`W8@UEojx{(
zl}c_}q$F4|40YV-DqScX)2sxG<hH9y-Tx~0@ZPqW9C4?zLh1XdEJ{ZcL;h?yZ*f0d
zpsTeer1RarQBAei*V<K}#Ocb?`Nbf}P7i!ObklhfTJxJaS_)M{tk!l^L%esAcoUxH
zk31Bq5LmXFUhPIgPV*QLPrHJA++wNjB-mMX{xr4MgZ3vkK}Q-V{E+r8{jzH_<6Oaa
zup=1xbT#N)<8#v|G-|slESTS~8`Jxo!d?r9;liB0(xOoA16i2(-+jqh`(RU=^wF3j
znF5sxxf18L=xF@JH>=$CL&sPjKZO^bf8TU8uqyU3ZVEgbUwcPXxz`f@9S>EK8|x1&
znpyF2i;$}<koi8bC!N0BQ!zC4=m$O5KfrHtDbxnfsG<R6@aqyIM8Mk8j>JZ#`N%pa
zY>PSg5l)Cg`8h%Rdnz-3>Tl2J$!8?@zYq{G^?g9M@KIr$&r(tr#u5Alg%FV+&oy9>
zHf^jno{`Xye;6@~)PqXsY1aP;fNa5a3&4O~7dtUivSTxuG-$9+&=zP}^{}8=Ot52i
z4dv3;3@<c?(T48*p>#VQDt;f^wU1{fR6`1rn8eSQr7&*BI~GB!i9g>s2Y(LaaW@lG
zmy+FTha?+e@K@!Cn)@dclV``%nQ?3cLF<bstUT_dHHe#L%X(@xcdcGVFR}gC>rpy;
z&e27pN<92jk~V2fTDi8Xpb+Lxn^hveJ>6Nq^Q_kf?*tE^jIq|??an{IJiCk!RUXAd
zn6BS?j<P&vL;(ugtcHQ~@-}CC3`KY*O$WN(rMp}4-BS#PXro)S=$`ifehA%59hVc|
z#W;K|=kpJ6Q?}B%`F^VNfXo&yi-p~*z!PSl;3%|7f#ug1@cg3jKfwOcQ?zK+#oY^F
z<R9RT=%t9TUw8$~<Tm)CBgZVyU~zdl32VBF;%`Uyd^@|*))@M}{LF^#FZq<evLum#
zXeAXs+=besUjhfvcF2fK0CUN!6>JNh%6ra<D;eXYS3G&CPiRJm-h3)C44R!9cMn+{
zaQ(NsDcHuf*jymAh$j&_SL?c|nFfV&=Z9v#<$B$1K(3EeLjP^yw{~x3ORAxT_g?5X
z0*uWM&fP5k0H&hv3|N09$+Bp9M2)QY^zMqDz|^jR3){Vq_O}#E+>FPY`8#5?4j$J+
znv>69I;6c9`CFO`$U2y2=ClD*YG7_lnd=t+$~IJrY^b>1`3c(tI3PmVHZuqR`vRZz
zKEDgME$A7_{$T-rRPB^A_>HiUiSZII#J>S?7MnS(tjzx-9o!9w3m}o55c1YEgz0X$
zCBV$;lV%E1MeB-m!=G#4XpvqSq{^oO9<~Q5YLY{RbhiYf4Bj2Te3tLRzhtC$`_lCf
zU};?Mqx$sOL(t%2FQITL|50!0M?YjW?=;cZv&!{c65w;_`-FF|s&b*0hBvnR3~kRf
z@wqbB-`F9Yr9gk}CI1K~<<&XO-`yn~HA?;6-H-h+68rUV#<(Lj|5%KI_fWJZEUbP+
zA8|<msMHoFl{Ma|osViS>Ru%0_e<0`>zzlkLCegKj?QVScFNVIC51+KNN$a=Dz7=$
zU&wCa_QyqI@)iX)C`tZH-9dHAj|jA-uSY<L@!HS9SHiZKKB87gw7$X4s!-fWL)=v+
zyTKz6KG`AlzGD9T+d+OWxkZxU_O7f#UOmH&<WCbuw=W;w8DUrcK36>eUE)|?67X(}
zOaUnY?tCU7%$|}R_bmnt5*AQ30ItT6UtIvokyBr}0LpV<PB4HyNE&%6eM$_4>;NtY
z67}O+fWN~RnEwFJzW?1x{+|_#QUsj|ZRHK7*ak0unJQY2o<)L^Eox@NKDBWVC9Y|j
zO{rcWHf}iw+6%q0L?kg2mrQVJD5Y^e;ZHB~Jo*H<&Sr*E4GH;FE0*=isEbtjL(uS6
zqVw){laVZ`g~zKJS`%?Gm5@nVnyfonZZ0JoNi#RcfWSUK-UsgJeAD;XMC6GI>5X3}
z@N$}&JPEngjG9QDmqHx8@B$OAZ*sKie!!w{jKYOX-ekx6ES7Rs@A?b1^*XEOrmQ<-
zz?5^7l*d=R)b@a@?`3FyXNhmM#@1ylmgFUawn=B*M*<e0)WPI$fDmjo#>He@dvTfW
z!eZpA;^OZ`e6$yNKj(<J;?4L!Ph}*~x``4;RTYtu1>AD$7qG}6fdgubl10CYYoIcw
zy(`v>{hA89DZRv}b>P3_CUwe0H~@LFMYKT^%ew{hG{3?^#-rXw7RPyG%dLlPktzf+
zeIviGr2Jb;*+n|@nLQJT+Q9!+Sm%qNrI!|LAXAAgHs0H~+$xj4X{IvrZLIf419%|)
zjsrEP#HcN4P7Kx}E(p&2*0W##od2>3WGQ8jGZ1LK`3LywwDAIRtOOxr&a;f&6uX>o
zmmHls6URYjrRRPhxxwdo=7bopOI2T2!Jn6!qERw+bq;#_$MV13gufp(HV<X6!%yNq
z`Y%ge6?tg;*y>;3E!4T}w+SO3#lc6Yc?KSH186ZxJ_CaQO@7DiU#VItGoR-<)FskM
zr=6o2C2^??{64Nt#F{e*m+|afS}oYc{W$_r@{Msd2|23U^?padkhP;Hf;T}bn0N2R
zaVV&WQSt2UKy!DXGQs32B}9ajwD7L!z(6MkC3ph?di63;wk~cd--wYD!Jl2d!$Gzz
zIwaN&G23Mj0HuE~6y1wTSoCdlDsd|+*p<u7WSn1Qc1rPgX@^!`8pO-Rc%KG4wtlpc
zo|wmO$2=~!_&iRZC7Mjo8`%5$c5m=w<Zn+1_`LHObC7{kmHKaHeF@zemQ}fk(;zkR
zK|#R2%D&raWBG31-rBg@%WqvnYiW;4cs!?9&|Ot=VNh5>5&Dg}OG$p#IIL4udl0L7
z>NX|upbehUB!yLxv6=)XWtc4wd%jAz6KogIz}JeZACWF+!@HL!XmYkKC^q}0r~Fdu
zo&Gwxm+{L!bWUmGlzU5gr#TQ7HA+MC%xMc8<Wx#%>4mkARg2Ksl>%!e@&yyftjAv2
z4+umkp*GCfO}ywV${Bu(7@P)?Z>GkC^EAJ21)tWGjK-iGt}m$eT3C@m`eJcc@=*Dz
z*s^5iLj5~Pi6tVCvtY1iz6qT>zL_#F^y+XLq1$sXZaLM62!)6EQLozUc5_fzkTE}*
zBEx*oDGj`Fzow(6xh{Sc4!*{c#=>?qNGXl2VR++frI@|<kr-wCCyW%j*CHKk{rX|1
z(iQlAbr7^>^;zC+aE%IDd-9B0zET+HEnN3*Fbn?tJc%T}8;H0{ekheBGys(D;Y|=u
zChJ_7K4zwKxj}e2J>!7SLXWfW;Q8faUJh&Co=N7#W$I5}cI1g?HXL0W7KbV&kE(ms
zRnEQeocCMMm{p#hzAi;0kv#B(kxFCQ^_2BHOe)4cf5hQ#{2aIJ&cXViDZ<nsFcq)$
z%>m{Y)#ekA&Y<Tn#r;)Qmn%znGAGDp;Rg$(8qq<U`as#~b}88MNpqU`l&LG;afeEg
zkgEGz5f#4tB8Qr*?;WHw=jSe-opn{j-roMx?G=~No?R6RK-t!|`vR;~%dgXCh!X<z
z2htVZ+l!T0lW4+a6jB%F$$21m;$R#cclL*jacfDz@B>@sen_cQC(CR<fL)XaWc#;F
zxrWK(P;dJUpPqTPtgid0)!72>LXX`D#&q~_=%O^&Fr}f6b+y!k0`Dnu`bQ}U;!qS$
z;?<0KMK7Im^wuAWDrKM+V#df?LED*%#zOU|5*CLr;{oepcF1Jag5QMR{Dfn*PktD(
z=A>cWkL7HT5NuCl!I!!_vuo+BM{4}{`YG(?@8IuOSV#S&?{VrD$k3Uw&icv2&nf0!
zM)*TbjchsvNTg1+Sw90Wsp_`G&9+~^wG}*$pX7;8H>hFa&xj-iH}K|MSMk48+S@US
zpm~6;Ju}~Ge2~cL#yd3Hr|-F>2YE9Qu<L)TmH0eNw8N1eq_Q79yX{vOT07-~K52ip
zXO+s-7k%cWNWi`2m3#^p)0CgTZn0t?;@fWuW9<*6%K=kq1Y)g=EtYUK2Z+y4=bdxg
zlRs)nlO@iju-dr0x(}}2?bQm=Km9xsp@DMQruoR1d>^&T8GNkAMYv<J`ue5=XR6Z<
zzAZlzp_0$4UK+{aUSCvb2MrjF^P0EWWB!Cvy!Y{i)u~<-1{G>o#ubi+dPfAT?q+6t
zPomCEPmr}MP?zHn#P?k=ydzVYRt+Dvb|i&G^GbDrAMS1^?knKJ=+h?CTo25ao9z29
z%LN|vgc<Nd)vfe>UYUpaM1Kdmz6+=|w!wNtb|={bLzD0M0O?x8S7UsRCSErsp3N=E
zobXLiwB@eYLHF-VG-2z@CYk$RFaoWYtafd`GDFXE^6C#nctgJ3j~37l|9kZ(sr&8T
zwAZlBs*ejxB;Kn+K-<qXC=R0GlT@b)8}LeegK5=<PAiQyk3Gxid9<!mk<bpp*-l$g
z0?W?#<=1ToF2_+Ek2}j~r?uJ$e5kIDes4S2eIzat&-?Z5B|}MG7=bfT-H<jXEgF)L
z>uig|FP|ti2Rd;&ZA9N!1-oFH^u`_DPOa<s=1REqr;s1v`ZC70yg+=EJukN9XDeL7
zjao8IFz#$3r=+9rv#~n@P;&}|<_8>pE)vfc^<2-4;uA;1i(ng*IxU=QQd{xK%33eh
z2Y?a8JYnTyTdU+f{LH7%Pu?jz%Os?xNMaN+vzVF&)AippJKIBNwKj<KSo{R;*Ed;D
z%eJuJKburv{A@yr>Jtd$9AwU>8X2^?JJzPSP#)9Kl@)rAy|i1O^zv=)Hd;MjFPbkK
zyAgg1!95fxF|sJuUBM&z%#YBoR|hwlqL?>k^7o{Fh)O4ZhTa1`TIUBOSp7F=u5EdN
zjj<rNwBVid2Ox=p`zy*z9=AP`hq15m#P_d-nA#QR@7QhgM7?PX0KVsQ;QQ%5!=~?#
zrUo>#<tMqVlh;Fu#wmWJ75;C278b*8Y7NhlrK?A70{tQFmvFP2@JspaP`4&U*W%+O
z>N2+y=vK<gn1G$=Gm+~GN2kt1-L3xpGVI;94o_W~)m)MRg)wY!ci;PcpT%_*=KbOJ
z7;s~M5Qxi^JpHAyp-86jVBGB?*bxkP0R;6CyUw;J^m}5&4mg}uqN$#Nb|HP5%1p7X
z!z4~bieIaS4N*MS`_?gi-fj7z9HmwCr4=?X5okm)W;~hNyzk8L&WiT4`UfC*#-3v0
zT1F}wwl2~cfR>+_CaDHw!O!+$dXS`)v)Jw6?J*F8(=bCI<`fBrI^ak4O1`EwhS!nc
zYiXx5O=|_fT&#F8xxIm*K7UCYO*2c(Pos%(W2R|h7_bT-*uu7}N4V>7mYuHf@!J9}
zbq=&n^pl9b^Wc?fOk@1TcaD+F|Ce5=&jeOUp#0JzWN!;Y)c<fa(EDB2Gl?MdQ2TpF
zfsQ}CAxFJF^YqlDIqK}aSsn&2c29+QC(q`6-u9E|62ZV@awsydI2p6uPW0x8R5pv^
zltDnn&o!^A=TEO6d3bo{9?z;Hp{cbdG4=*@NM{0-ONphc6(t!cy%^zln0>yC+u@>i
z3g4f(+S+^>cwp4-fdgN<abyMwjWSo}2>jbEw#Vden=ksCe$6pj_zFnlEY(~t(*ddG
z{6$W<^1z^YNx_2uPiR#_?dD+M;TtZj?wSBm1NiQ;(@8bcjk_H)-#Dt4Mibr?D{Xz%
zu=}a0#D|+I^UH*t7LP$3@n)hzfJKs|dc*ssz=4X2<A-_CuPV|sBf?l;hW={g>OqkP
z=0&~y1|sTUo+Y6<9|o9;0&&PVe_^hJt`Jm#Bh6ApL`AmvLG6y4sp#&98p$xVmwN0V
z-`^mxrFd@<w>cLE{~3czggQdM<VeHc5%Qs-b0ry>?am5InILm%JV}3JDN$l&chW@g
znhEM&0cKFTiVQ+mkx76K5hgYM5N=2lxkmxgn|yY<{7+>)=@`@M92+=+pm8?|`24Gd
zfpFlp7w6XUsSaSuJIc^L{s6cxG5I~P<N7$m`w?ddDGl$8*P@0=F5C3_RK|p#`Z~Yq
zp^LUbc;$Q$MB<K|7@jW%{7XL!5C)1Q^8V(HF-kKZHQk3WM)x`Pr?MYvAd8B~Zm2nu
z)g~Nkz*^qspYbhJ(yS;7s)A!v$1%mQe=7>kl+l|L?fugI0lC8|h{Z4|kYf4cu)?m1
zhSKV&UWq3*M4BeA<b|d5mU$^Ig>4&LTIn1K1J~9B2F=fv_9$-iZdc*<te8{?Z1Pm;
z&3wcA9t15G|L}D${ETOKXzNdNT!IP@72{=)R4>Io4y{noQoiSG1Zsf#t}T=v3HPkl
zS+YC63=8Zm$2N!xc!b)%4FcO#bZz4%G}~yuz1(O}_pJGk8kmThQk1TS)vUsqww5TP
zYTLY;?g3V3q|W2Tn_Kl8D%WmuS}al4`VoB{*Tca%rl*w*@KRUrS4*o;O(ex6R@np3
zy3Yic7@dE|a;}e@EmR)UOk`U;*Rxu=cB8WFwqsDmf+tk8OEmtcr|XPrBJIKf6+W7P
zl)whaF0S%nXhA6=Vd%YxA&XLV;iC$uAYI}vOIx}w(%cO;h>L~}LV!p~!1W*zlok<4
z0Kr5cln@OGJGAfToHO&xd+&Xod*<A^?|m)NWzAET$9yv<PWsvC-P(qfm(`v;am@yu
zaFk)!p-q0R#LCwC$K<<^WK8fMzam{Fy*tE@w<4NtkQQ%T&U&2sHh*8lU!L0K5m6QC
z_s4KoB}pV5sWd(9!LG9xG+lD_!4#wZ_EMmTgzBGmu||xJRN22gByX!{&$RzJ&r|iY
zm^>wZ@h8We`8(#|2^ZQzMdkCt1&Wgw0z^uB4r4McSs6^r&eM*zA^$O!*S1x691<^;
z%P9-9N@w;xajyD4-_gz7D)83dNOw`y#aWR7OWUKG6(<hQ3L8HaFL?aBy6<NXs@QlA
zl_M<XFI;khUUf(ByxhoxF`<WAB1nz0u)A$f2LG`!uuH7anJ9QY^dwH^uQ0t>3X*Jd
zcFi%Be0d`%+uD`(zsu3&TT(njh$(;vhwY#cp8|a<QHXb)N0ZIVyJI~I>_Uo#aA$-2
z)}JpV|MYV(^_VT0HiruR%V`@DBf#`xyIHLiZ2g062&rmI^EI0=Lz-8R=JUai<S;*3
zEb`C1F>5Zb@)tSq_EE)@GarO-EIer$EcS?tQnFLGA$t2)W_VJGR^rJ*m^QUvy*9;Y
z%cPiI+%w?WLmlJ<x93#crH%-11--z0IMWY~p&^j?VIf>vtSitEu={F6bB==X1j9?s
ze`S;t!!4h#hN-GYDJ!o#-CUiZsiG?pPz*oU)FLXnIyBKJOKrIOTRT08Xg0e^PC_R~
z68*oX+igRzZd?ywrJb;e?bp%eeZzJ)&s&*J(TiDjmE5Jiu94<qcwn}b7!353w#-eD
z^68o}e}@%PuM67mbe6VG1@c6*v2&hFV(^wOqCJ?Wzl%|na(1$C8}j{&J+pOgvq{o|
zUg$>^Hrk-MR^->n&iAtsUmNZ-447C6vqRYKc5Wd(>KGsI+*Wtkj{gCJ<NA4Cz0NO%
z^7+8bg&InBC45yXUm(D(JX|;$&B$O4z$weB3yFEpZ~XW+X4;`1rJA2OzYL!9`=^Ej
zd%m0wmoQmWb5#12hs;OXlM@li5k$8GdoM`mLE{HGf&QE8V6z<5JbnbnlVd8HDUT+j
z_(YOZCka|-Yxm(?eRv}q%fbsZMq<2&@k(Z0m#+%^#2C+GH5h3h4;E*^or(kZ)dcOi
z65S@d)`Vk;5v&p}4{>ih9mySgktzF1`HfgLRnQ|q411Fmzs3FTMRR3Kb-zl0EO^9%
z|K79N&8+;dBKr{AkeQp45P<Ft2iD(#3q(}3(#^E^X^}zY))5jH4c}fI&$i2RwNRO5
zjF!a~^JK%?;J5EuH;lY2J*hu8dTM+_;R~=rBy0xo^nsm-K90&YvWVuF!*`r%o7zfm
zb7QI86G)O8ahNO5oUXOFyTK*oYMjO2W5>~CKlPQRmSDQSqK}`?NAn*tt7Y(_u7LRZ
z8oPVt7|?KhkM;rF@mPM$*fwOB*E(s@Jt?r1-nN?GI@P&Jy_;oiJ`PVFWU3R4H2b)o
z4O@|X9BC$ksRr#xDimLYI$b-Tv)uLO)GQ9B^JuY>g8lLoR0l8<H~9sO3wA#)(P{{O
zaq?i+B7OPjM=2eLnUJU-EYeD3^K62^!CLjshW?VK4l~}wI)L+dQ2!ObI~?p)Oq+?f
z#WsNDTu_|<g~OI;f-4{sr-lXczCv?m%KVHolfd-7N7G5fhBKRyfkwWYhl+p<1)wKt
zjE7lad6m51NNW$hDwW&${v`%A*pc`sIjqec<nn>7q1?$hFj#%N(s7T08kj-0egs5K
zkA%-~?)#MZ(&Cp}vjk1^*v3z+B6uH8fgA1VT^BYH$UL6Ej7K3}z+nVhKI;HZn!>CD
zQ$qi~QqmKm$iUb`8VE0+tU=FQA~$-OYN{0IIv5t%trD<wI17R2HuO%+O%ht>E{0WS
zWKkU1w4sh30W^2YjkS*>+9y#D%qs6j+=e=+naa_B7xM+(m6&_4Va{jae0iKP-P%<4
zQZcr6axx>^;9Tx;Pwxo0N1HdXM0~Dg8=@%PiJ*y6Xdnt~7sWosaPp4mL2y+1ZPikF
zCQ@<?iTKWQg|qy$2t^r_E9L_UExl1=)gJ88Y(f<5l0S=?_1m*&B$GAjcN`qo7y5r1
zx*Jh=O~9&T_Kv0>l?qYf5gaEq88(o)p|rf!--OcTp)jq8RfYkX3Dnj_NyI0fQ+2p9
z(wL6bxuLIwT(C(p+R}x!WBc`WfW;m51SH=e8ow!q@&&+*4V944h^r%pO-WY0)xD|3
z)V|KaFUtf3rd9%{npR$OeAtG+u)`hLHJMwM6VC^V8oZC7^gI<7u5Vp!1J)#WGtE;p
z12fFtmyHe8XM+q2`5gWV&Ttvp5&Rwjz}!h(S_A3Pzb}P2D->9J+3Uhom}`MUmjX*m
T7TMqv!~TLM1=D`%?eTvB!xxH^

literal 0
HcmV?d00001

diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Figures/Workflow_diagram.jpg b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Figures/Workflow_diagram.jpg
new file mode 100644
index 0000000000000000000000000000000000000000..3c011b81a6775d95a9c6e97248e97b1e095a42ed
GIT binary patch
literal 62672
zcmbTdc{tQ<8$bLVYY3IGhH1l0ZX_dXhGbu7RBDnbN`|{6M7B|qnuM6h6ecrcsiei$
zVu^+}VTe+;A#1WT7&E_1_x(K2?|A=u-&b{X%rW2Vd+z7?InVPV_$ugwHaOZk*g`NE
z42l4MAi;OY8WI)~TKfxrM8IFsb)upoBBGMw;$rL8ORirpB`GB(EwgEZw9G~sDX9$#
z8#c<p<>lqq%PJ}<z?C+^<>6~DfeC{%BBBzaq7ravDQWos=N~~Wv~eA*Qq)Blwha>6
z2ov526TF2G5Cjti+^#YF?+;7}@F*s}PC`-&JW#d)5`qZ}3yBD?aSfi10pCL+8$~y5
z)wdFp!=4b|77X8g>DK*q+xI<vBadsH+F{^x{<4Imf})bLiiV~Z615X;xW~xY#MFAf
zjjf%%gQLfRgNHm1AHn;cJmq)VpBNAl8g?N(;$md{m4vH_*RGS((kZtyGVf$j^XLp_
zenDZ;gJ;i6%gQS%U%afVf6HoUeE0qXyRH38N9WgXUHzPa!Jk9JBco%}GqZE^3ya*P
z<u$orknlfZ{a3R8hg=(hTtXru!Xn~pa>0bc!9U@RBBERM#Wq=C#ZLswZQFfm9em%d
z`%m9UY&XD7$@`pdl~mY)?$?-J6YY;=|L+95{Qpa`{|fd$xw@eB!Z2Vw;f)Xm;?=5R
zoyhtG8{cM`Iotr+U1*~XJU?y&)e&#j0_#Yoynw45*Ce`ZS){eVY>`YBq{J8_67`#l
zAq}0){&1+0)=EagkZ@d!5Kg!W1@}o66-&aYKqh%{s1WjTVKUye)E$bTskV|K8Z?xO
zo1+WG!EF5(;qH*hP-d~F$+(lHgpCdy^1JMha5S5>gy1U3#$rf$fx*(z*tLO8Mt&wj
zzErbTr>;0TCLjc(A}8!!kx*VTc(ZZAY4RBz2!1ttvMU{NdzYM8GQ}r3XD-fcj@E+G
zr$XzRgpzQVSdf~5oue_WMd-YX9-Ax<$dRSR;x;8y!q8dFbBa}ZRa^4n6st5ZjyiQE
z1&=!mqx*<7A2NhDuqTE%i=SnDCcfY#yKE6cktCg4sSqAzV510ggI`T*wG_9u^=|?^
z_>mnU1FE!8yrl&BoN^<)hv$(1iFc8a`9ioMvUNwCBHAzgG7=qUU>AU-2^Vig_o3De
z#cc?qqbuof2&Y~;=Ikz{V$!6Bia<k@u^>koB#dYWzf1|X6ptldq=k*zMSH-C=V+%#
z9qsTa=xUsQUYwA>nu{u~PZDy*v2kPwNoxrK+$R=m5{ZyZDa{?p+9m8j#^a&0NTxAM
zi-3omIb<)ay@+rz5?#sCL_#bjCQAzsIiiAXQBYW8u@Z-jbrxw-BL-W+Axd~2#T`aQ
zj@s;!G-y&QLO}&xNo-s)1)@~>vveShE#~YN8)z$B5+f<@O@T_Ynv`iO5RxT!38=wq
z1xvNElti`n%)OvNbBswVG_VbhXvG-wpL7;wjCW9gV>sjH7^6=1Lgd}Zrd{hJTi-E0
zqe3i2HI!LED{U@Fb9bR3G7=5}-*ks{q_4TGr6!W4=ZK2Cf+gei?ZqxRSt>E}AtJ5C
ziZ(|R9d`s;BSZRReH&$(s4DKXSVnv&6+$)uw&EncU$foCBG>$gK@+9JC6N$g($TI=
zQ`W;$yh@o~NQ*&2jp$N$8%VEgE8N}HABG~Dv0GqlN-_$m+9EWNj6wxBDdlg4(a~3v
ziR<ww(-vbI)JjERBq8t83-tSRCL~@3$AypDi)yB7>-TMndDvRLj;CJDZRD`pbOseV
z&XwE^5AD5xZ1k8fDSNFqRo}lDcji!=^HfuL(axLCyaTpJ*~eH;5X5tXuS#t%eDYhD
z>9TaN)cefDQmz~2+=7v@>jC+^msKgB-B1FkviG)-7Jnf2;BwG{o>We?bSq{`=|E5c
z_qYK1bT^OGx2q(@Tcb??(M(8vSc}}%eV;HnT0=o;0_aE3hs=+p-$p+P%-(O+N|Sx7
ziUJ6hfNFcKpRy!ZO5lmf6Q(zfl3I4uOd)T8gCuZ}^zXqB=_@yvJVzs*Ow}T0wESzh
z>roc0{&Sc?SHOTORse0(&0U3k6hK1PNQFldXW#N#H@qWVs@Z9NU3_YdWJ7PgWpH1&
z+!{$6jf$(^`6pL5kiI{8;H}|7nibdMNp2TF?jf?n*Owk`TjSF1w$|e2nG&{DV1Jna
z%EIi&Ec`;nHuu*o%gwp{!|MqFWC{4I%|ndIoZwAk_PovnsyUG3oC{>FabVS4eZ@7~
z4;~11_!$vcz}woT#TO=HI6Lb3aX$snrTv(8)%qn)?B92CfpoZwZmSKvhjYnJB<Y2z
z*c$>Uu8y{czj+WLK2pP#L6vOm6F@_o2wb=wpEiVOmYYraqfV!vm^DUQnep}UK&U?w
zis{LuET#X;=f?a0;S)12yo(=^d#~C<0G;C>xOkRyg@17QuPN@|zyfnXi)T4``k=N&
zSlg^|?GkZATmbD_6ERf)aS%g@*%_^25@ndXd4@5QyHdR5IdU;bwuJXV1qdcdOs^L}
zb4dSqes_W=Z@;ks`eVuz{#HKF6lPoO#U)n^Fo~P4+wY2>g!?DCBz}U<niH^$ED!?d
zzTFzt$P(_gbHINbfd9yH6S)FtX$kR`H@~q4NXeY}A%KK|_sJZsUlKsK{+tN56+p7_
z%~wJRJaIVb?Y@*%At&GnHl()}pD@FNB)Qpv579C8OYXHL?sgqDmc1*`+*Hm@px^oH
z96e#KRzrF5nL_S`@2<D5Zklx4tSnokHXh);1xrbLcs1=<o7+^&=Yqtgq%A*{S=Eho
zwXMf$Sh)#{xl%m)zqNvc19vW!cWN)5vTo^=?Wu9C;}rQK8#nIrOuF5M*;BGFU*%EZ
zmqV0Lf4sgG8o>;^BdW87NrPmF7udLXGGywP%1Mbt#kt$S{Zd8YSW5|811B3uLyhQ9
z6Jf$(wy3yJbSS+_)hAVqXzK1iVJV9EoCGokbe!F4i-eeJs27bO=b}*lG-076cjUIX
z^&wVtbQn#T>^fJOcL$=eu}zQ?C*yK3OEb75Rm#yMe~1hPkGn9N;E;?BymBbL3Q|Mn
zC4pSp1k#=j+$T=BlPn6)1~mZ{?2rWVSFlO`BB)v>d1)X;PuhZFu!*csHn0>!HlPgR
zov4r)F}O)XjY|{dq)#y!49Ep>Q$rUOC+E<@zGdfVsi8|Wu%wB?tBO!jZ4jdg#Yu{6
z5t4a5PlvC^<uai?*<ER5$crsUmUZ-U7YbuCnsogkmWD18$P2M?Y^VuNDXrDFCq}Mi
z@m4Bw?PVzBpu3QIu#+uN)dC$J&ZLQaM$(J7&_tPHX_>|}(NPC7jG-B~o_)#Qgbt5$
zj~OvnCyK*2Hsg=$D6@==nd6p{E?Y+Ji8hdMysiF(jix`$u1c9H4!_bOlumVS@uvx8
z-0h&a3z22<1~w21ojt-FbrzwK0Wc6@GV<cq&ssGzmF7SlLYbf|hmzbO8Gox;vVmhw
z^nt279m8Fir`=Z$AtYYg74Fv$2`kiiRTFb5BxyCUGw_1|I_XTRqjZpd>DDZZMi%vT
z&e&~o_-M*1=XZ{zjGmPxC%ZXz2QA&`xQt@7T`I}8Xt7>yv*+Zx7z^Fmn6$_^1%EMI
zyj}In)|=bzShCFT9r*i;|H+e_JFdjRS#naxwS987M5zn;iVvS8K0kgyXPKRmFV}>(
zxfX$zvv);3`YL~F-Pb|_`Qi!etEewDC0ionBs*g$S$p3Vmf^C;b7x-`4tB*O*jk17
z_o0OQ--PJCR%cO+FFWw&jSIB$qs@tU(eb3FGZ%GUR;*}P`_3B9G=~rl#j?+0`mv*Q
zeqM<H%Im1c4I8dBi|(0W<T^ObV(wIS>@@juRJS)xt%E|fT8l@E4M=z;%^l|C&=c=0
zlr(K;WwYjwWJ|ca3mgiAyRShQI4%?p<;6v^RgjR@-VyqJU~D@29=k<oAum-04;heA
z22EmdGILn6mpddaMt1gq`Sbkq{=}46u#*du9}2k>B{*^ZP%S#N0Ou1Y2lu0}V=2&S
zM88v4I#Ul|s^mFgd$$0uSTvN=PQyC-!=&LVuI&)LCz*$R4`QPyxirSV2?D-Ifi^ax
zRZLqg#q=i}P1zR!JR;hFz!oCwJF(+bP!SkBk|tt~^C&W5LGaT(<b6b_3PluWC#|$W
z>T?@yl;;^jKFM>XVZg(cn2dbkL~n`*u`wRJ&<?*Z#3>25b}6<8;H*&_c%188De!*~
z|3GX8lQC{71rUnRG>95$NCW5!64gbS;c_m=ZBD|qIsi23h<B@tlPQ&<WV`4<x&}7N
zj8SlAi)N+?NGsdXSO9vE0EGJ_UnW~OK}g1=ouhXtgiTrl+5Rl}6~8!Pc6uQvBMu3{
zu}+q2nMvHyYubT|10b9xiG*2llKhfzR3AC`RSMgES6))9y@(dP=p*@ziN#b=#;3rL
z3DP&&l*`MVs|lH)0F@lpqRzN|Q>)=L1q|@>K&hsAK2ntD-FoZ9R|qBytZrO2sMF?e
z9E}DgM+<(Ig{BgZn|8+CS`bN^R}Q$z$j^L$MW&<KUnjk9-H&a~K~JmSI#YCnSm$Jx
z(5sqI`|fdgg8*93vz}UQ3B*Td6bhgV-i0KUIju}ik;lSwMtjt^ue1GkPV8)7aDS+%
z+v#a?{)=*euf4c6HRW^Dc}Ap2($~Uoqs&?7a{+9%$EaAMlwY3Tcjw(n^TnHle29!$
z?9vss!h@&Q9}oP^Wt`?P%iDqsm4>1MkDN}H*V(=;4IY`^Rhp!lohFx-{Or^j9`$Sp
z^~MD^ycFj#>qlBL<&DO6d(>BP18ApablZ{Zg&z-HUmyH8`9yvu%l4$&!~JCItkHy<
zM(5CM?j(K(cDSZA>U6&?Rd!Vrlt-K5=#rjl<|<v5htD?R*QNZ4uA`HLm*;Q-=t>zM
z6?=LXqe^-=R=^<bKr$z7bd5`DEJQ#%;Ex8uqk;!0_5xkC)n<#3zAZ8@PNp48)(4ga
zzANdBYqgZ<NN)E7X$9s)b!NB0kSrYl*_kwK52z?MdXdhN9uQMi#Zh#NBAlXPKn5kp
zMa>@)0zD3Z?WPy<(&B_|)JFZGQCsAwtv@tje-RB*vTzmLCliqkyp%z67n-Bp!*->`
zNn)F{@b3PwbsRDdg@hVFQZAK*kj#c)dk}NN@Y8TfOC|a}++5xr36S1F1m&eAapDx8
z<WZ%OG@&@~E};~rGD!N6Pcm|n>M=(XVTl3Pb%9f4JK_|`66mb=G*Olk9khp%5-fNY
zCsh)O`FzPy77nV2jW`()H$4xE1;G6wt`nmUmSPv_LTQ;y2<|QevW_pBQVIh&p0<Jo
z5%?JtMkqY*@_E23t<|m!67EQ91tQYe;mox!C~O%~2(+eHOEDA?DiEHqlyKRuneAW+
zDdi>c(V;X*1<OvaGE;RI!Xb)HQ(J_9=HIVnuqp^J0<u&K=r2#oP+CDL^=dK2;i!<a
zU($SDa(gY3g<2(|AoX^fU$Q?mMs(+KQfD1=qYr%aGkmcS{ww2cwECA-Oqm`3lJ{eR
z;b8Bx8-H_+9;yqVF8W&7xo?W{oC)9Xa9F8iI`$g>Zoj+$S~nL<y8D;1eox-%!jD6A
zzY@{?D`NI1)k_;IB~AV4zSN{AY8Q*?Y7S8d--rhY`2fW8l6a50TgS@!-jJSc+I-gR
z%b9@A!)-Nwfn19%?*)(?k;zK)DnI2NQD`1BEr*>t{j0n0{hZUn^H=9Le)`MES4}#)
z`9XvL!cR986IW{rfAm-n75ZwY$%lLvjZH~uz}0`e72=31kPm!(FtiL~@Ns7OYvpY9
z;W|SN?QgTMoC0%L{k>NNkWBF-^qsPp$RPpb(GGq1D*aw!FSRhRS4bz?X!?fZR5t6o
z!->MwR#&?06F_Yt+oK*|PUb7Q33rX|;s)p4{2eB-N1<8yy<zsWpOf#3BUj8iL^W>z
zt9!fN6bJk~9Oe+^NHqQ+wVzF#d>A`3+tQF6c>VV2_Xo?6E?uLg9bFo~YjoW7xy-4Q
zS^*?|;>+Lp)51+9kjm#48ECH&^~Qd#T_3uPtuya({`bm(c8cog_)BAn5tSFsUE89R
z`FqE_LthnB#|*<gQsuT|m@&#6H6ubx8EHMM&&A9xzV0frE5_C`;nnFKojR&&l3eO%
zcv=!d=h64>@xYRr`y+=~oLyYJ>OA8oPS^8{O|-VtH(tiCCI0vV$yBT1m8^Jgw>dSY
zUs|p19BUot)m^=Bv;FU<zx2kRo)-N+-WZ&)A^Kq>lr!|Q`5N^BqKp3KC-WwKm+r~+
zdxq7^SpMnXD<*Pg(eIy6=*^y08XZ68BpQGJVEwlu?-JcAIXkV+r(Cil{lP$h`SQ^t
zS|eulxlpud80SWbn0MgfrifzU4col-GeXseDrH4^P|dX4Tb;mtl`j-t#wLF{`?z+5
z-quqkUcc=N=8V*fLnptU{kc@JKBgBx%2$oxx7l&Krxo|7{qE@+$KFa{Jnw7xY%1)r
zUPiK%#uSAYAV<GwgvCTrn-O>1Z@M}ryR;?Ek9>b#p8Zli8gp6zNknwocVPNu+b8cH
zY}@dz)mu~Hl$v8FE%x)WVmybd&zau)w!uv!-NPq-S6|4plB3-``>CF+k^q(Yg@pd^
z>wM3p+es=^s!r*Tdlmeu-a1W)v)De;>Q%p5P$)KY>#OceeIWurQQu0pmUm0bW+Fe@
z7PmQRSNt3b_6hWSd;GzRj@R3fM+%|>O2SW4k1mCo&(@NJ(U@zI9W_Nq#ypO44IDR9
zr#lyu_3y#PJ;p$f!ZYKL!~<S-UMiW)&vn{dP*&xvK$z5twEHz0rF9t{q|7tTiPFZ%
zC+_~P@lo4myYKI16~m?wj%R$dcu8+W^5nj$Ik7zn$H}64=VevTJdQYiu0*B)={@Fp
z=%__!b;d;d@1i@t3Of(<AL<CkzT&2rmpjZ7UPh{F)t7u5uIKOII*BKRHTk$`8V_yz
zdH44faoS>`1%f9tmHReVnR{hq`SonXQTsT@lh`b#@p~v%{&~^ZzVQXkYsv>TKwtRR
z{U>f(W#@XIHC%f9gAk~gqcH7KonCCE;OY9J;rpA>X8GJNPafo}XFhYCc3F(XVCsv$
zOiZWI$&aUH%%4#XE;x?AuhE`Uo|dik7K^X*80%5#&^=yNp7}Ax414UE@jQOo7d1&Z
z9qoE)UiPv|)8yMTiq5UCZR9TbYTU=}XzUcKMx~vL^h~Gr`|f*m5$EaIdUVpwcjWwE
z2cDu&H)$@N{PNu;w9Bz`|IMxF?z)Fr&s}<15o6+Q8BQGf?gN^xsJmkn+vLp)i7~yB
zbG<7PF9cAdLiKT_rWnH&tMXXI(VB%#q*YkpkeBCgRh8lly=j19sm23*yMueTFUioS
z7zid(elf8Y;4c_+o+gyazK7drDRB>L$%(g=A{#Vm68)hD{|Vc*&P}OF3GEZN-Y4D$
zRDxJ|<r;3&KqP?KmMS}^^lF?W-pX>!AJ*$ixk|}F8Mr_`@$W{RmT?<d>xI&lXsuvy
zMW~BU2Q_;Q_+o7UA|@kg(5yp8#@d(+YZnQbVySq2P%lB%_J`0|TYXCjCmV4pDApmi
z=fQl*1}@_d@ef?hPQuAqN^~VtDx2VOR*pmzsAj96%+;dw9l-$X4wKdjAmUovCS{8h
zORgG$iNbMYOARF^=>0N5d&w`YwYKxHMV$k9ut`S)5-%1en_{^*NSKNj74d)oN~MX?
zT1;ob)YZYNNqHzvvBc5Z$=(hPVRQT&z|4?BXKE;+q0&%z9Myn&TnC;-M?*OFX|y}c
zN)_M{=?3JeBf!4S!A|#ZpzTA+;_=RH5DQLohiD=~6nD^_rLx&_meNePPe!UllW8iL
zY}ST>_e{|sTn>;4X4>lHFkvZ<_j0eE8#|6p3D9>%-x*4ku*@SL*K>4~R;GzG>A=H>
zQX#yx>&RYzG}Luqg_CysoYFt_)#%rQuUxZ-q^}1^Bl4rH@ei0&S^85c2bBfT9U2&L
zXtyQZ^PDLsA-JAz1<;K-ySd4A0_a^%O7rYVzCZfrmIvQQjXD!Q#6<0H(qh^+JL_Se
z`xS3JT(*Z9f|io{@o@)g(f725=g7{Aocg5pQ%|waFX4|=y|K}`sX47#s3ZEM{cOh9
z&}+`$?fR(&nnf4U)6E(`Ceftxwv-IQ{bqS=E;_5Yo%!RotM*Za)34KptpEBvYajXg
zW@YZ%FEw1puoM0|w#-nSMEfgErLoG7UUR5F=I-w)KV@w5&G2c!8T>Ml9sW8y-&Mgj
z6}+%e?0#qkfvC9qMsl@($gA0LcY|PO%~F>|#cjWir5t>jJUrnPviryUY<#u=%Ec$l
zYhSH267wX^=AxhK<a&LHo_5|#d`QX5w6<M&yIjs(M;^z%th{z^(~%>IgDwZ3wNHk=
ze?4yYqWIKkwX!6F{g8TM6d&Tq>uh(tcjn_6iNW@>)Vc1mA59lroqvAjEe{uCJf_tP
z9_}ojSZ(Smu`+*D8|znOEHBkT#+5zBT{)Xw{#W(Whz`<8qur~SCNt6X&oQpIrE~7@
zO&ZsE%|80U)co%QDQ^#mv?+Cve-;)$3J6f&(jImS8xs?JL6JtqedUdtFbZ$9NgX^=
zaX|w4aEC*6=BGj<_F0w%uGP%YC~O~L??|s3<+R+2<u1&6G{_Mceq7nCUF5RcK)-l@
zM)vqBLjWy9C3np_C%h2(_!^epCw{;{?vk1t8<R>017qd{Av88tGuV>JGOB`f;F4xw
zhv9S2MyUxBO2S%Mv_oL5z!EOr1&=MIV7uZZMTJu8;)GBZl!9W7EgO8%JdY?g7~kgx
zIQwK|fUkAM+u5ODa9^31X+f!Vb|>01njlr*p7biz&|2HP26`QFU@C%^#3LavqekCh
z!D}7C_!tLs>ma*U6|x{@04_l;V)NngWV06G=gI9^ARU>qLEwpkrZ+zhzJd#7ZU@+&
zYTdRM6>NovTuawFK_LLMQITt-5%RuZM-$Lkpf1GQ+ah5mO(68awgfCEL`|uvZX`?=
z9y2D(2IFyiA`uDE(YSa^7}!tPKsp*?$=Uv}SV|V1iifP6Y&0Mp9U~Kfh|w^xC9;&D
z8rUL*;ZP}-Y&>Zxs_CK|>|igl*I$St39)v`%z?3(Kgcj^Gj^1;8fZ~Vd+q@ZDUe}w
zurE?Wfn>W*hDbC37`+)?3I_BZHt?*qtVmr4UrRsmN;q^i3CBJU+W$(%q!T+ec@8Sw
z*y!j?_G*DyngehT3&-ALW9Rd?jN8Dkrn2&qf}7O*!9dIgOnbnXi57=iM-zTb^qgGJ
zmXTH-M&~@Jx2RanJS>3f3coyU2?$(kaPt+0s>4_BSZw<`;u)E8b>5+)tJ7oW)Td#|
zwB)Sixe~hWqoL9>&$dEyC*EyuSK<3{qIH~g&m8U2Mpd60dQ_uHay;j)do%h0oVGgB
zZ8-ZvhUej23O`$kZq|7fPe9*VyeWCA3H{C=X=fR*=ZD$B9b3W+KejmREn-Sc;CCo&
zsM<WrRFbh`?EE?sP*?x@gH(G&koA(g)!v(CGPQUr0j~7@iRPX9AoqYYDXALtrxvA1
z+y*yG@JV=&sO@Ls5yIY`3L;_hc{V#t?j3N^ke)M?J3GfIwSOqt?0mXO|M^#y6NfCy
z9#}tl)HByWa@?0P;<D9i{qc_Lq6xkBC&yj3kGmZ2x%%ME3H~XhiM)8zh|RGlZI6R;
z|HfvhIjO^CasIdS9yfkChf&`ht2{bfu>j`YBSO{ZOMF*p(SgLmABVXl*R0d!Z53$t
z{SU7T9$RE<H!OQj{LtB#kI*3(J{tVKWK_^!#Cz4C^x*Jo&ZCi6%u^(EnIaRO)ua=1
zY1+zx>fr#^XrjVYB+TI*V_3aC41|ZiEsFS6SP4#fVa#A`$-87DtZ2fR02S3|ZU2L{
zgR27v1C9Z@KhW4JBn`GYtj%2f;v`KaO<NlWEG2TmYHik1EW{2ShnuHCAx?I{vDLt4
z#={1J-&ym`O&MUQiDa39fDp%nxPeS1k)Xt3JCa(E(3mOCR}EE9wgz(*Fi?RU@kp@q
zWGS)W>ZOn{*}z7;1n|MXNH5j|f#gle%Sc8-;_#{{+}avxtzCAsC@swr0==}0IQ7EC
zaZ52G%7L*32ZJp#;gaj}VE_m;;`gDT5KCh^81>B4*nXLC=pJqetS_~!N1a8R!BB?*
zV<$~pE&Gv=!}ITUWuhT<{|OriOwja<!FW@#Obd^<wiJuPv4xv-*G56M2A1MyONAXk
zWHqf#tHDx?s&5ae;s)U140NprSWtph9;`_yb9!w+2SA35`rH+^9|Z^HT}GL;!5YYp
zV0jlqGyn@*u*6HGnlz!%P_`-7Y5|15xuiH6*8&m2N_RJmCTvVE)AS$hiBm`}mBcQ)
z!`gb1maz_&@ttTDlnL#)|G2IHxTTQ(KFPFozqMPVbyh67!*zQCiN3}53lDZZ^(v(3
zwHXc{=8!pW`<{ILI^#nudfcS7lnoD-f5IN78z~O{ijw6SCcY&sOB@wIeLG1B`ZWQ~
z*Md4d;=x|RgQxv23a1_jhE<-=QkF#%`9d}CCi$IUt-upNQ<{;(JVT?mh-Ha4V43iq
z56_)y7eE_GBO2m-VJ)s_nolO2^l-^-RR}CbV1z+L*HR)lm&+Fc%d&a;3XW%a_9X?u
zmCWt8#{}phQkJe;{dtl6V0+~Qe(eX+hywUl0Bzxa{X`nsM&iotJ<e~pz-aOJxs&>K
zlM>MUwjK+RXeb!&`rLkR5BpdO>G&zaoU|-YlmvD*<pzl5b%0*;ApvwXcY1ME1nh!p
zPYNJO>lIh-T*}fqz!~6N{-=41DRwpfHmT(=%#=LeYW4XYfNu5!A+`9YACT&uxnL3V
z$rZs9cbm%3?eb{6!t1)H#qVz8X@87UD>QFAqHv&QNaYW=TLsYHLxj1F7@h=JoGsM+
zY8)6BK-VnfrkTHAPaiu*Y?&+%-f%4O#NH}agnZ+K;lQ288VA}>NItR@K(=lKW@P8D
zqbe1bEOz_`$_iS|4;&nSTK=1~JktBQO4Zhy@@TKZlP4Vl=v4Te#byo8U!2F`S?nBL
zdXk!%mdO!s#S5KIIeERMy(vfeKD++tX&0YeZRY!#F3T4#;Cg1XdY^yyj0xt9EkGNd
zONg-5vMkbnq%BP8a%$89CxJhhk`lxhZcR6@iktvXh626K{PN2_xSDtyXb1g|rv9&^
z1&A)QMkN81dIiIk$?bOrN>7@uSrq{q`Ez)7Hz;fTdNBDP`A1b-_}@Qu^4>OsR**Cl
z8N@?}C(DpHzA~8cZcH7O<X^Md=qQ&orADfI-KIoGIAWg6G%t(&aYNGgtlU+Re@}Yy
z&_*|9c{OX+9OuJjyEZq_`GkHzHVp7Q>sFW2k-MOI1k8i}kyv&m1P$CK3yA2(Yj(zz
zy4|!FKq*|z8mZ@olQ+HfrsePAy8|9){Myx8o42di%X7Vf9lr47QkV&<URI=Y(Q|2|
zhsmc0Z|WkhmkOZQz&n(0JpJpuTZk=2(n}I5IkCNAL$K?FEx3~)sqYv8mgPcZXEumo
zc2bK!DD7b&IjBJA7+P>48!a$;e!)rN0Ayjw0NbI)05Ex*wi=52lP|NFO<GotNLUDK
zD?^Ja2Iggra9@zjQ8vmfJ+(rZw3f9aQ5sUdPr^e5q39h#J}F>4*WLo_BI|>sP2KHJ
z?}(GJpq!ot0LR(}{sO*55~fC!21ma!%+)EvEW}L+jte1U@Q^pkl)dT?{{`#FNK0Zv
zOd*iLWsvBr>1B`^I*g${2N)f?EUE!gb7vV`rV4aaYdZ$z_n@Cp^-C`GSxfT9fX*2`
zc51MbrI<h1mVq3bk#53hQiO%r7@=vc=iuyc(9DVEr5n?kyA+b!Db?)|&D}<mxOS1H
z7)(D;qoJ#5lq9yhP`s19j6b+Mpu|vSG-=0y^}~c6*mjIs4z_}2A1oM@q&qM*FpAZH
zG-F0oTWpc=IByDoI6Iczh1hb<a4;C@w0D8Pc7tVvenAs$t`ffG!W8eh5l8b$O$PTP
znjj6cB(gInsYSR5Hk3M-7pFi`IRiFfgG1!AYj-E|;)o73k)e#V%K-mKZ$<mX!9%RZ
z9qxtG(Q$Y)b_`OT;w6q-V8Fxjg@)n2J;_7^XDf%#rtDUGpHNzh+prC!8SKhvQWFI@
zEsHnOjE6iNENK9Gfl^eZHUc~E&u9j~kw*3c4qz(jjjY`}4if3<6nI2XJs(YOW0}TO
zEu=^8KeJ;rUFyQN$M;Nz^14gD+*9H?Pel+pTV0x1gxhCVWsk4k_~u!gyUF1_#t+Ot
z&k(eZg@hT2L{IR>=QHcorKg$`|JHI*bg8H)tFjtecL28SRs%_LO13NEwd_=Vot|`V
z;v=z&SV>FsrxdlW>P-2}%KrOJXo}wKD~w2g5Blo%y>D06qZ!k?6K;3hd-}X)C|dio
z|1$Yd$o7mANwc<rKT}5To8ppfG?4cJ4mP13gs@hiUrq*vngNNbp@=d-YDoi2G`Qqs
z0|(^~>(thBN5WCO3fSIqo&PvHm1<xw+Ki@v{$1Eg2)GTn#KVGGt(Mzh{tU1;Rsq$M
z0;xFrQ0C}s8y#hUWsqRU2@m6>=Hd-lD4Iy)eI|niurm&~Kod%);M9SeIM@b*OD1@*
zS^`xSY}6Xf-2p$yWj3DzT}>}GQ-XJa(SdCQy`T!x3vhIvb(98Ue%xs){<ttZ&i_5Y
zzL0qf5<mkre>zhO4VB6u;RrU^Fuh;^Y%#DMeFbX+Dbvvuzc@t;a5YEGADjRne+0mR
zhql1^!9JIc#@-93iBYi*)Cs;K5BY_U3^-qZs=TM+n{{`ubFixR@0b|T5YM-`y0+T^
z?9xLMw@hy_6-{342;PAkATLuJ`-1ATRS-MJj=3GXt7NeKnukSwu^Y&6&-=;uNIn5z
zryrEN8n9%?I&8M`<gWMi*fR!iF8-D<3&B(_S;IFH4(BEi*53)HjrsC>Ny}fhMQ`K!
zTr^cL0GBapRs%9w5pGM1m=~m(ef*v`;iTXhSAEBe^7D<notUeLIbq<FQ$_-)*p+Za
z07*TMr;XXIy{5gU<FyuVCHF_o(pFMX->aI+B_&CHg12k}LW(p(_|GZFUJ1U!0N-ZS
z8L_-7fX1=>vVP2PJ0IKxc`v&XCEC5(`0g-6etwv@laNp;z9I!KY1H=e%g{VcF2E+1
zYCuq7K#f!kxSU_((rUHp@^AjY;F%ZnKTPH(beBpy{qs~W_W)Ri$?|H$%s~Q}1heqm
z<xaqMuEz@4#_hmN{89{GMC{-shY*f6PTlQ4hu9Ne1j<1Wc=C4jrs%)4w(o0iT&)&B
z^F^fMJO8El>JLRrW5%13lB4}vb!_97GAp2Vpgyaq8~vo1|FDgje-6sO#qgpY-yTzO
z?pW`S=){!Im$k<Sz+)jYXdP$L_hCRRoi8t2H{H3fJ>@^dD*s0;eoZ``QlIK70hHh{
zRZ03J{$H)^_@fn_|7r#B_{VlOq%(ahzy@+ueZsNaD<mm5UhO=FCk<5YvAG{n4@I>6
z`w`18KY`%A`eQf&bf&M@a}lw<k3AqiU&wWvVp)k>wKvy%2P#kO*Q@IQgg2eR#_+!h
zppFNC@h3I2W2Ex}XpqeRR=4IXhmdN4Bh7OBPhH++L^NNbJwK`)SMO9)dr`lAyNtv_
zNsjKXp{Fl0dN_NoM%<y(ljOG-ZmaqwM!fnduUq^<_g<By*jMV=>s|hGzF6cqcx;5G
z;&syVQRsD+4(JM?J9Idf9k*Vxh8Yocpi^UJZo*<{es#;WnwiJVeVO&a(?$*0!=D;-
zOht?o&!_a?jO52?|B^x#hf1N_=A`UP@2<Q0WkaD%&#!KWk|>=IJN+a+FObKg)k&;f
zA9g;{QHh?{2@gL7U#R{)`E**3x3fkGv6K;p;fV!J(fRUjNu&|{nky^U)K&MY^w7bL
zp68@qzwFhDLQ?Z!@8Y+TsMRAWyj7lTiU9JS7C^HcM084`0O~)$ttEXbTXQZ0Qi2w5
zXD&cUEzke`98<sg;@=n0SI!C`K1ovmRW~8VK9Pne`}F1~!RFIq>*70Z6kpyG@Nnc`
z9#Xgmy>}sIbplA-^}YRsb2mfW)%5-xH7siaIP&8fOZ3&lYaEI5s|Ezn@LP)|#0FB`
z!|6BxO9R*Z2owoPtEmbWxVH447X^{d5(H55FL0VR9+}AFHwmB^D&`A-!_B?5r11_6
zKiYco*0dsTXS0&*Qbw8Hnt~X>Jqeu2Wrg`aA4|$VR}}j4F@N~kHI9!nSvmQKoj(c^
zs~rB1P<Q$Aq#HFOUhOq&dZk3`O^2^aMP~Aajkum&HQ&R57MC!q3&a9^yP3Dk8YiT&
zIuOJ)mq_CcX8&+<gnQzDl!2wzUU>9BmTEKYx&N=FQUj?#oaTSTx%RI(4gZQ0&f7Vu
zm_zE{{6F>P004adziL`>4t#kHF}=FRjZ78TtvAmJpg$TW%q~tTE>8lh=WbXTjK*6i
zaBKJpRUi++?($Fr{hmo+B6=$j?5Jz~N}hdwRX8Ys^8c`bEeS9NsB=^RO+I(~kEvey
z0#khgrUE0@x<}KA|LDVTEB6QojM@GuIAFzKB^=yV%l%d}`P@FNdw&XdHJ87FCOzD^
zrkgm@<FDY>*sN@|UBl^qLJ~+rxBe>!fqT$GAM;<oIi(ha-Kz)ke|6KYacWvFm!He$
zt6;wTM?a5&e(Hg_n|V7^l-JA+p#0e;2jDmK1_W>#0#^ojA7J_H*m{%dwX@d&v~abV
z8|HU`*F^kLGqd5&q5#r80lau<pg-lt86V=QsUfCn!0yA}_lS>r{d)3VBtgUWX5+!&
z%i6z#IWb3MKgJlf-re?sbd4ZWI!TUH`;phBP1y9^_7s^TFEt#u`(WIpS46dHw&YnR
zYW67eQKXUuI=2+th{MLWQFUHjEbZv-io9T9!AWjk;_R6<Kf7zh@yQ&zeuAJH%gFx1
z61pt57hD-rN-Qac)7UEDVr-{JUx|<t=fw`{k%XMPvdiBy)%GS9J?@Xz>-#7_)6wvo
zm%RR&%X5sScF&uWcRq#gEk;wKDgtx%Xc^v5EF3-Z!6_<q{tP2xS{1A-qEtqDWIaB|
zn~}b^7Kz>H1L3zzB5}3KFcLA=V6;SEteG*vl#iAyh3WA?IZ87pz>jy9-IRUvb$B26
zEQC+_<t8o+8ede+lm^HY54gQUDLr7YPWWC5+@rl_hQPO<K5mBfZe6|E*FqYE8SzC8
zx3bNF(^yK>Ord~-9@5WkLV&uFN;(T-J=Xw~S<=$>28eUnz`G?hMQou(1Gr><KDdSz
zVZ@Ky1oD#ymjB2XL&Zd`wcI~|S6G||%n6_wyChi8?TC_-XSCi7@Q-i0B!CDmmTVpf
zV@nClztl+oPy<bOKR9^m--9>V;UzvX+v~LQ6SfGTiVQ&RRD_M4DIBDX&X0hej{y2Z
z5IEKuYkmv}8^G3J3gQj=mF3=Zc9HWx+oHDvI?ALeRFO<dzXE1Pm_qvg9%$uI@c(F@
z05qBZ(yWR7h$yYTt9bc$DMrrg$}9F3;_)2Yp~G=2HCV!~Xd<^LYTCC^@#X8Kqi0w;
z_xEnnXTOBEnQOo_LLFvoWpwW{w?3cBJR?NlNd(LVocxv$piehpX$;NtWRpLh|MC2<
zPvb*(A~y{e@i*Ho6;FnpzIA*Nz9F#FCh<xZX;2usxZ>nNdTy?j6Y5|ufJ)N65M!Tp
zCX81nc`48M-%@zXnS3DTdv#kIW7&qPbHp5=dm22KyQ#guAi@%{1id3o{QP4<Qu99+
z{JWkX{qbMTY-1^v5LRTbz(82Xy743fK&K6Ey$D$W6ry9dTy}%+4=7z<Bee7{A&gCA
zf7@%VdjjahdjR!xocCC466agu5Gxl0NMoP%mIi=BqE4@650IwT+~j=`)D-#gNQCoT
z%SqrR8O);?3E1aLnxyfc4@h6`5oQ}FNrRY)wKM@luHoGp{K~nk-65KJWo2a3+G~A}
zM7ZamwGaz4?WBjsHUD@oscV`vGelU@0|@M*8$7h+;8BF+X~2jqI1zG~YoD?Nd(ZU(
z<>tQ>)-p)Z9|}LwDsyUXwOwb6);}9L@1#~I)a!e1@Ck6=#S%=~p6efW-#%r$WuZiB
zb7p6)gYC0kzcS~!CtqJiFn$;vEqJ-vY1GcqwDaBt*tq>gCcSvq1}xPS`=$t5%zHHY
z@?ghPl4v$XCpg4FBpI!|gSzM<+vk_i|IRlE-t7`Yiu0~}mvFe5jwxYRIg1^+@o6l|
z9Idycmo+e?{8&-P;ZS&bmo^wO^<8|my*9BUQ@JGH?o#z;pwVp;Q^4=rTr6PR^KL4l
z3wtM}V~mz>-xWYRfnsm<0X!WMv^4AS8x)Wo(akn7yUoR?21%c4KoDNazgI2H4Nh57
zEFn$pY6EvZ41#_VA{CcAuL4uaTa2uQ=BG-u<Z@_)RDT0z(7U>MHI^E{mFj<I&W)T(
zS>~ZhMOhUyC9etNew+Ex2Uh67zKGqN)G6)J@+rOgr0M?ewV3faHs(^b>cG#b3BXT9
zz1ymD6X|wLKS1ap+pyeTVtBV^HBpwF>f1qJXRn$f+e7L*k#BU_LOo?Ea}qPPtCi0j
z>ivj#UB)^Lini|QMLQ6S7H3$x2JGr23rQ|1cS#XUv!-^jQ^cYzysOn;VHUXl0th!7
z^fRT$bGg-;AKm<q3I@oo^K&5)X8nsnGTlI<CqT-mQ=Z}`f&cb`mtVS?GOxFXe|UAk
z%k6)sM$3~tTYcZu$R_eWc9OVC#DO=xvS!@KS<nth>-}?}pZ^?;e{$viQGzjBmKmek
zBg2jQUjOF=reB5|lWcBwL3TA(g*4`UhWB)(e)aVIwKVvTJfV%wSc0uye6@P=KN1iJ
z>JT!3#I~Qkd@(BFpEE3esr&y$W}`z=CmS(!E!wo1cO#R;RUtm(TKA8R_J4m0BKB(T
za^_vq&Xu>7d5Ju3Za0E&zf>zp7$)qmxDu;=X1Km0p5N<oYK$Zit<BkSs`XT5>tygs
z<>TB>*PHWy=RJM+W~mHmGNX02*~33rSHW$OGA!TC40=<+RhM&=_U;VTZk8EK|4P_@
zqB5cU8I?{@L{>U9I5r_XB^nq9`hMR*Fva2>?4JfZIe_7V%htStXHP2IANQA)UC*z~
zx@@PiK0}KpzdMcmx?I&G{n?L_6sA%Mji<k|mx$lL@jd5Zk>Ber3QwPJ`Fp`{{_(wN
zO>V^7++R_x6AN^L9O1^ym`CtsN@r;4(y@oR^nP<pvwrC9gQA<~(x0!S+`cxzP8XM-
zCxHGkv38p74Z?-smkq#0W<T)5J37OBQEL5aNG-?#FIGYROEbf8HlMBn7P&;KwZO6T
zW=bAn`f<@_Ab<XOn7}=dD+3-+{pZtozBoUo`8R==N_xAe*~}VLRxlupW~MmemrMBa
zdi8HWT|U~(lS0=|(fj+1`7BT`YoFUKk6r=>3|RrCc!wVM>e8@3sgE!vd;6)QO^h30
zFBh0E50vA+BTR%uwYqP%%3SX9iXmY<=U;laKxEC9lBV>y;vd>`nK1`q;n8Ml=%c-W
z)Fk&HK?WqwRJ9?}_^(#}i$2ou5B^#x1OBcB=UhnPiwYoU$piFn2W1m5f8^0vQ-#OW
z!~V`ym>y>8FSY>kn!?QfCWVrgw){C}kqTI^=|k)sK>JjK(w%T{YL*{Yk;_#ej)QYO
zGNEQ`f|4FbAeI&}AfmzZoXx}8AR(+N^B{v2bGSx=uQsf;|8?VP3^gPg$-Q8w@`o^{
z(^>YP27in9=F{2#>L1%+V5>d$d@8qpcoi13##BlILT38&^^4$@ewqKb5<Pj=e=n}&
zaus>PKh1GI)sGR97Ha7LWjFzz3_(wnl4$&<rNm&({wecq!XV^^|Ad?(I5=C1SySZu
z`yqhbEHG5d=zWlXjud|HcdM_i`I@;V<70z0FDY7W1>hk8EFpT$ClEX-K5VAIQF|<d
zi=7%fd6M5)eeG6?{@Lr=ljK>#wO&}Sb=#>9^S$SnbFvf-_K#nusWZaWIj^4F^N3@8
zIgs7g^W&rKst4)%;E?&odp{}O+lmd5#Y@M2T@;TrnWJ5Pz0rZXB9$wGG#{#Nobt;;
z#Pip4ot(?ny{N1g9eQ42x3a(aihtcXw`e&1WP%Xzj>Ngb1<LXHS;4<DKc#v^>(_`i
zJ-z0GZtqZZ$;S7O{=$uY(1L%GG_VTbhNgU$5cXk8vkuDQwAudq-?A_7+}loT|LUpn
zL*FXk23n4K0ru-{n<b;0rOZ-LQKP#5IIw@V<6hqF8#}~uq-|c2jX1Zjx~fp_k*^=!
zmR-Yixg;Z!?%GREqWXpOWZ!V6loNOE`pWE1cV*pwE4lBh8j4wDg!SF8`)fXbw<M1E
z=<Dbqd`rxunIm3yXlHC|yqL#3!$C~hg~T&~15IX!%aZoL?8(VI{~$>i>61*_^nw@I
zVg6w@rK|pKics!yd<8!_a$&cF=|!fN`U8h$JOFwY>D$r|=f6Zp3!olKEG53E07iJS
zeR3Ze6~fx3V!Fa+`?ATFF{qWT4G&KYI9RUsmEE+CQdE}zMf1GLf0xMDurLIODxzji
z-@B2zY7Jcfy!RvidCswrM{bWubJs4R#q#wT-2~g{pVzH%3Pbd6+YoybyUaI?URGpH
zz3eys3db`+FN`}M=(4+kP0+P_X)N4pD4T2{Zr2BXji#xnk&~_Mp`U8e9H{9vIB>}e
z(WMj=`0HZT`1i-dMXQ<Qg`G88FTYHNRfK#Dai9instPdBjA)9~%KqS#8|k};xGR_{
zA+=bU_Y*lzqtyLS8Rywdt(IcMM!mPF+%En=NE0n}$=WV}B0Lp7Srrx>l0Vq@IjbdG
zlk%mcq{j?h6<`=WH$=%$d!p@h>w|eYiaCqTR2vVe<twE(@OQSM?KKbkRcD<zvN@Hp
zSa`2}+fS`Lbb^ViqdxvQoa*w04an`Uk&Ql4$c^Rn>uNnecXL~)x!;Slq^jpOrner7
z8k^-Gb3D&9at&zm*NvbXwnoJF_f++lNRPgpSj|l@2ryYO&-y%B_u|Ya+u;2>_vO7-
z`;e{7zCeA7iu83D$13k77H?tsJ6_ke2-y9#@Y5Z&0E4aIvJ|C?$UWrDz5G6;-a@ub
zK8avR@Anfx<g1PRmy*|cvMuE4)laL4!RYXT%Cz1F{15;8*dPr^cJby3;iEkkm}&fY
z7D&49Npsr|Z}IG(<z}sFToFLw1*D&Z)KVJGeW&Y_y`wLN!S4nlE!yK27Ajn}*Quyc
zw)<xwN*z)-zT-#Y{K^bTOTr_V`N7*61%@j*%1HMDrC)h9+h+reg3m{l_i`E~!yQkc
z{a)&xIk8eT8sef#-uE@{*Iii_`jWl0$TBwgtE}TG)Y`5Bx$hj&z|O<Id#B^R)95R}
z)&^8hq?fFtEsaV<-+7C^C(|xxA9>)%(@3)8Zqdz8ZR+Y~Z7(vKl=J#ed}D15IB}Mk
ze<Qj6defd%>h2hn*Fzbhv`Zc2a2QH*_#V5B=tW~~wgMN$n+=VGq8ysC-=4p}_0}b&
z$EP`G?p=sQ-FbU|)2Snt>H~(=ZXrhy@}xoE8<^P%1V5f&@>arJbj2aIz*WlmWOUoA
z%r41u@XMKoOJs{DvfvgtxC_1&K86$qQvkni6Ge|s!*Uq2tvD{xd?MVq`R6enyOeG4
z;;&EV9VWd_{~85pI7kt6V@RO-W9fQ^D*{NwBWZVaXxaI24C3>SVQT03(GQsgJ4ts>
zo)X<0?DpLXzbZ6*H<%VWKu(9Zpn52~50};v@oBUTZ5`=wxu&fq`R?qUyG;u2wMh)!
z%2RPy57@mE?=0&mEw}wUbx+$(loG@2)&%_S#e!Q7&JV9wQ1z`<abfweOAd}iS@?R?
zI%X4^>hCLy7Z+z!W{3e~lal1FXivQO)%jWsn=$+MaO`gnQ3p`W%Q2GEC6SA=Ndt)W
z(dMKvjSzqZ?7UTtONMfg1u93XBHkQ17HhxqSv5VwJAD*Yl9vADHP#A!d#0f623em4
z-)JeO{T1UEv(toktSI1FVF>d`*8OJVTX(iq^rr<ju5_03KQ)&JDasy2*39{rWO9yt
zP(FCp^QF@y5%VVZSlxm9N6qW%0>-mqRdTAfXE9FuzPK}(-p*b(YcFfKGbya3&TS&_
zrlgH=6g!<9<hZVqA#B@&Y#y-3-;j8>PjnYKIDlw)XdB0uefc%EvkLOq#yRc|Zc2%`
zYu{{ypJ_72k|mw}@fRS*(4{wdEU$AcMDdn_803@RN^nTuA%|$-SnnJrPIVs2xJ|BP
zmv(23<8UznS9TS8-wv^Tp|E@<pwE00|M!8tYHlKk&kxdB7N0mX!u&1)WSXVTqMN*N
zmD!C)M>7YSHbjsbOg~d=&UcO3w?_##j(W|9Ba}bKq9StnH7EIDZzcIjwe7dPG<K$S
zH|R~;^EWiq?RwjO<pPd$M<%bj_0B+Tu8aWsb+jA|ICH9XRToO0pY7!%gA#KWbiR{D
z+z1F()CmFf7R(znqV+bBURm=9bYy0JrdVDtYfE}@G~RCb<f|7P=Aj2~683`o_+4U$
zWr)$A4v4a}vU2A4?07m9)q*f2T%2bfVrj#CFGy?7x=%Jo8evc5xpND|3#B-zm|_Lw
zv&}s>zig_uWa^^eWtzQYVU@%%WaJ@blSr4ZlUOl&1pIIwZtfNL!OvN{yInWn*FUlq
zSe85Jp9*|KonE&cc^0sHjy?D5SYie*5KQU<rdOI_xyRH1+aaBy1adzqphJW!j+hfC
zt*XzDfd+ZT0AQjZ(&%5ysy9hx(OI+8Org{;G;OHngk7(cqjCOFMj<q7@1h%#mo7Yt
z`6eC5jt&H4;#Shg8}EARbji0J1J2XAt5G%rh%OqnA>dDG3r=~6$u_=4s_W2LY7{{B
z*B+fGz5vUoj*>i!i;^x%-M#QnvsNYyGlUnv8Sj@}#BZ`NDEl%m#~htJCsJ`D{GzY$
zJ<nU?InY#6=CVa@e~D6gRd~#WRCCR3cj38JZc}y*ItKL^;nxTIR<0GqSbL<R|9VIf
zPR@T#x9a$fmJVpfl^;BM<H(@{7JWn2fwEWL+EztAa5cKkW;feB?zE_pyHW2ZoybHM
z8N%;&jQ2zaoq3&7z_Y{DgRYBb{fv7)dV5d|Y~!1-LdV7?-QKs-Zhe@`>Izf6tlZ81
zT}>~0M-Lqm8<XZeLk;@=I0Sw(qk)vbM@?&F-V7_&!lu0K7`f_nSm~miJ^iXyh2i!7
znyx+Xd8Y^VMjfr7SUf+uP(HnH_x1rv>5GA~H$w;W7`eI?Q6I(+mOO4OomLV(w3|Zf
zG#ofp`uAK$_5^(_j3hmW5seO<j$#G%bLVb~*JnKY;k6?u^Of-L--fJ+T#i<Kjp7Kk
zDv2-WqA;d<({!kD@?1nOb&xN?I|?8*c0hSv_-qjR<JYd9-`|b(Hb+L0M-6+GczP|N
z$4*9^wt3lJw%1uL5eG5zNw2&Uzl^a<h_<-od*wkcVbwLcF0%SQ{vGw+yRV$O7~;Ki
z;>h`~k2B>jvk}*L%J=cnTeyMI<^H-sCHuo=du*Dmj}4Q>>oKCd6YSUOIZ_p`&)|&H
zE_Nqx?=kMuX3eMESazjPO};VRa5Xq2ulxG2j~Lq^2gNt#Hq#;!2Xbx<DCztb%RM!C
z@mg(=nf^UbgEyQ9j%`B~HD4ZA|8D+mHaf72G7xdTcQHn8bn<NV?CYtTH$m(DYvg0M
zd5tMtowb^JYs=AAz(n6lm3{IMAzNauHXTxzW7G~B<udlXl$2&fbV;SSZwmfKEk;q-
zoG@L`fPWl+-{H}SO4-wuvpK&MtT(vt-aGzu>g>b*Zn^%(lwSL(vfitYR9fr30-VF&
z4RaOuCY<B!^t@R`k6uW4w9qyB@ON)U0Z66lL5qh5tDJhwCjGL@9lH;vQ1}X5ZN7qR
zN@=!?$4^$6vEBBS7em!|+sbki`5U<t46f$KI`{qMM!|K|v=?$0e?&L7`&Bzkx!nwk
z-puJX^C}%W>Tu;g={0Q7v(*TrQVnmK7He#rq>lxaWZLDlotrt>=(%Y4%kRL$gGG!}
z$eGed{Lb(PBN5+@;o-#6pGwVHMqvw4ItW6R(e=_Z1|F*g<~~8@dxJSge9Z2bC2@AG
z*h=L(vbneV_L@|0aN%@Y*Dc51cu1^pSh*o#&3HQeyIeaP%pd$~B<-f98pEl#i#h&1
zJ5qdpSn8Xb`#d+dp020`BP4Od5)preuDcE)$XmLTt^-@=Ep895sQP3h8#WypJa(bH
z>hITIQXCGx`5@0kv1UVF5u<v$N5cnyr`T}^ruCdiaq1gF`fu2|>{GDckj^IuCl&kh
zbf?P7dT#cQM+GG+%zpDeb9BPmld}DNPX4ZotaF_LNRhXZ(|frKlUQ~)@M~Dp2E;S8
zlK#8yil{?F#Vb}3;&0vhU4jl&bSNHdJ&`Pz|J~yI#XSQ<tEj(pBGG%3P#-zB=SjK`
z`7k=mz4+R}0-RoVip|eY<rgXf1Io=`Eu>E=WKZ>SK0l-r1ALykKWkJr`BoWPqJ6qC
zx|6|gC2R`qCD&|v%(G@TqW7e~y|(GZRT0UVnfdvzh=3>UUxLUV7Jo;Vo8Tg-$%*yh
zffp)gmKeRxn(2n!At@Bfy^hSQvb+NdT70VHds%#r0*PDr7ipYUcz5wg^D%tV8tRN6
zc%G{gm^;6u$G;LNReYAa$hSKd!mrT)rRwI1<lEdNz9z}`1g0Cnp@djVWRsS)Rgo#n
zg3{Iz@6?s5-uvht(NuQzqQ=R1{7cYeUU!WL`5Sd)OXu$cn0Q&6CB)qp!mFj4rsN%S
zj3&5WxvBVBmh$`m!_=RLL;1e{<G4~JNkSw`Wy?;+QkF?&57~E<B!-ZE8>W(dC)6nW
z&KTR+nX-oL%h;C@vK#A|8PoUf`TD$n$M4^pV~&~oxUTbhoabY?3RYuA>FJZz`~X~-
zM`g*9Ud)b5Z%h_$kCZRC(GQ4I>+{|7#G!JAzWNAL@%G4q8wJ&d9!^$K8p%Nd8@7rg
zH;NlfxEf<drL}a}xWXL-krzg#)u2|QLQc;{HT!RNilo>cGFs@&*U%JvE_?VcaO8Ee
zj45kq{~cVi_Z?8UEr460PSP5sR|ovcP*Dr}Qospg1APBKGKEd7Y53=B9l)##TLULD
zz>a~gY?7bCPfT9|FWgy|7+Mb3Vz@^fhJ4O6VWEx!6iCpks^??J&h7A2XOiEO0iMtb
zIQE8OeL9^Z&%O?Lxv|0j2O_%zDDM}$-xPpx4$J-+a;y}0<zK3iyXqf=7_{7<-EG}j
zLwp__NdqxO>5W9kXgM=!=?Z-uvUtpKZ(UR6(VXyIVKq?uM52b4P?@{hM(!g);5S&U
zCe#X<K`-gB%ns??5dIFm*MH}YSHbfeouCY8eie`%Q%d8hl9Ps%yz<;r-O0-Mwv@6o
zFi5!E-o9|m+yHz}Uewjjz_cy^Al|^Vw~reB?-_$2D|xCjb6*~{Pfk3slA|mECpj?W
z(Xx#a3K%&?B`W7VQS;OS#N-=6A~WFEUcctWl~aM2_Gj2eFvEEk{u*+WApta{@^Ani
ze!{^|S%FPl2R|&zbofy|MPUXYjuMn@wfN%gP9bvXUJd;9{IX`AAeRvPa=tWN26}CB
zd*K_GyH3Bj`?JJL{de*~-&%wsBZo%93LIFz^b}~nYRKycaXcFpSU%81ID*oPIP6Xg
zJvG0M9A^2lf%1#<MqCSRt=@um&^I>TzTq$tl3K*2fqvm1x%%h7JdG48L{dcof|eid
zbI@Zuxdg^z?CF?)@tb&}7tb#0peXg%t>H`%%wZXq76sls)?2eu@`Z531q%~$c@Btw
zsRrsTC=q?&*&;yA2PSHPKOQiiG-7aRtKHO)SCCpoW?;_L+2nRcx4CRVV$^>LJlKPe
z)wuxdX%9rC)1nMa$fP6<e!%ISI0jI{oPR1oGhQo<JsX=F$FK8zo6PJ7Er|n$%I}6D
zq|u7|gXvm)g8`)&7TVRcdu7(wFF!vrQo0wAp>Kv>HTWW2k<4}P;9f;f-w18dl}~Qn
zPt@=Ay;RX&eO)U0)hN5z<5P{m{5^?v{qsuDnPM}$cH+oRQFZ^V`uvxP;yX&~O&dzH
z2Cg}scb_jBYLmuP_aBaGkDE>K6<Be|;h%@ChAHaXIVZXGzr~<UV1wu2lUx`8^Ff;s
z%V4LFCdxHtAS4BtK@acRWEfzUbmPx}fni?tpDOSPDp~Q0cRou9QY^SJzJ(0~idDV0
zT6BT)vK3${rv}D*QxX)FVCh2=2tt%Jt)O9D##Fh&tC|6Z?SC+^1ycAMyrX~QaDZV#
z5zIS?{~%xF9am^xh)$j$>!IMFnayDyF8!;ac@bB*w9zX(;@PO>baZM0Gve8KsC4I@
z)ek-A&I7xIcH*;+q=tGzqCRs*&1wO6O}~K*OaT|G*M|52fyz})T1%Wav!p?jP4SS<
zU{KAC##Xeux69Yhk!_hpT+YdP0+lHo9!Xzw(yiZkb)n5v+wMb^(}vE6avEA_sS!un
zSJ4d!Q<`K@n}60(LFFPY8o?*z1k64dwV;abx+{4yK;8Qg1kD5fkSCw4A(V&LY)t8`
z6mZsS>!t|bVkG_%xvk{nXN<w+R{W(Z&&hF{b5On$yc!(8udIm&<}gvCR=|$>-z;Ea
zHy-@k8w=jthn!uSxW<m^6vRstdFUv+dSsD(mZQA8Q6kc1&+tICWhtCa*n^(iZX9*c
z9Kvk&h}@QeZmLuGE!h4m+>rWVpZtHN`rH3Xbuu-=z)9wfVV%i|OoeNHznac%*BUDy
zKCuuDjxPwE$$XD8#jlrR5NZLou1=g$`Yg2!0!y3E1VLYlRzZ~l8}#n_4nVk+Q+ixm
zYOc4SE3l&Fgxjk%5s#sC{UUMg)!O<aAyKAW;j1xYuZA-mSLqq^1ik=z%z87QU5n?l
zV=qR+3f(9Dov42s(&d%Zn+5;d)m|)sobZ*Q_R9}%g$nX3C*Q&*d^@ExuXU)CN$TX1
zqvwP?DcmK@<}~<>rWLLT-vZdf>t{N9rDs*#NoQ9daSM4qW7$EUW*?nX^9NLwl0cBb
zgH0{fJAes2Fm3BM)iCTu5O4Tjs>d?ZspYqhy?+ijzksiQ0u!0ahgt)%hqN^CpC$iF
zcSBVxG~y_pl6c*EY-Fr$*1KRA)vTWW^6~em*IS0#quTBhiJF)D5zla+AtT8?(8(r7
zF%4Y?5JHD?*jrJEfXWx7o)o0^U*r=4eqdG|%ZMXL!+I)fAKI{*;GLCy#vq9n-w_IX
zpLelZ$Kf!SB^~-HEF@Wv<-LF53&UG4k@xZ}46(=yfCCS76>Z9tjL%{OWG`Gwf2q*o
z@WV@+ZO(HP5Pq+;J@fx6{3TX0wiEvUiaAXBzhVw_a9S^Pg&cEP_Z`MB`4<{+FoNDG
zVCyNrF!0Vb%2%M^52Kgbk%927;X$$h_rzPExKE$j2m%DFu^S24?pl$@Rsh${yCp%u
zs0FM-%}8T+Ds?3gWGP<K-9=q!Vg8+U&H8bwMfXRbx!GZCi*cmgiGhcIL6o<`^~s3>
z*VV7%H{S|PrgppLi$#U|3xog_j_H>srWGpZ`E1~#fT!w*-`T}KO87xrLk4z{1*-{P
zM}Y-Uu2Gn2p$6lKP`U#ft!Rim!NnfY=qM;3mMOn{JNx_=;$_CY!4{n;1HQRVO`r{3
zuYk9LznO}?bJFIeq|=f%$s4a~?B#Nm-x2^B55IQDDKKHf0*(BEHRj(r$fgan;zz`z
z4(cdM$p2r753T-xCBB18HRydw1vfnbcndG*>L{W7uwVsKtVJ~s;Yl!epr6MKu#S>i
z?V?yIC<^ex0Ml}P{MkG=COc^`L`Mt}({ir#_Xt?If{d`9HF`$*bOqr<e?7d=jg^kJ
z<qk~$MWx-ZT>nnfg($^e1}m)5ceQ-K>>4XhD-K#%<yJcX%0EyNMtymd3^Eh7G8b0i
zH#C=;&s;rW`KoevG4+%7u2J&{^eOr(ulQ+A7$l&0HE_i3B)`|7@=afe#;bmlg-$_)
zdJEuWvx6%^>Bk;xJzk#p7S-@V=>mSD)c<o<k7|@DA5;pl3^e(&v#saANB_0-<F61a
zU?(a?6crCK1Vf1rIIKcS3xkhOfO9PWCuY9&*<SGKC(g@`o7#{vo?x-dPz4~T?fdiD
zp#V>v{)@%4jJW_UJsK<01wYzmqr|Xo+Sj9a&yw}Xn&kgq+h2`11K$DW*Fck>Q6C9!
z8xWiT6Q8Q@02*&scO8lTAf|)$>o*F12Vm6~2kB-Ajm{B;Sg$kYUh5yblkX_)=PP7N
znF^fhZn)2O22|7zyPxX?*B_S|n>EOb4G(V#WR)moX8+;lAkYEAA+~jQ$huGM$u*6P
z7w4C#FCOteVEsv`ZnH@HaCFD6xGVC(BSO@pWgdN-ZzRb%>vA;C>)_QSNFj;M{kwv5
z4Z%L|kA+~Hi$ur6T&U*;M@H81zGms;gY8)O`$vCt{Jf>c-yXdxaY{+jbVe?~dH+D|
z$J{|L)=9{@+IfVz&t~x2FZ=EQTkk=Ah_Th5dAhx>%;jxo-C;3r$FlsoK%=JE4_%Pm
zE8OmgiKM<ZxmL-&oft))0(G{Cnrd%%;lh6AZN4{$>pH9JPQ^{ICV{_HH1fY=|7?_!
z=eP3-xyxr`9?t6ug~Jq1GH9<n+j;30!)xM!e#VG-dA7tp&37J)_3pOa%Y;A+d|XY!
z<Rcf}x};k=k7ZMD*$J;y<z_Il>dAd{^HZ)psMcO-VCpFpv2Y^F{YH44{)tcMMZ|tF
zE$$5REcEmIA+bz9rwS_7(PbI>-IOtY$8qr>t&wJpreQD)`w$*!*M#Rk2~$)mfR0+{
z=ehYZ-zVkV-cb)gZQJ+$&N{4{C$dzf=Ce0OTW<U2Y)+mI>J6hAY;G05LGm|5O@L*6
zV?B8F47ZIMcBFv3y2J62V9w1<wwfS8jmp%K1s%)!5sedvw>R}p{0Bt(cgZ&kooX}b
zU2(%pJk!1s$LKI{3MDxFkBG2&W4i0}8n3zm#p(3%p4034-&T+mgO#CEbUbK69#slc
zw_S1zpXbK6mMF^D!o8uT(auKS?k5&=r&Q(>41Y|UL@qf8_66O{!n(xv1DQ4ZR@WB}
zdeRCMF1yLaOUPCG03@Fey<nQ0NKq4}wGXc>D+ZwSQM_?Vc{)zXV4_zoY2enE>o;sa
zJeQ&dhuWnso}dEmuWIIYy<Ks+I=8Fyn##yN_RfQn2F=Ue6QBDvEYYALizn3@P==eo
zhm1p63zvWni<Ke#%$xPI2ml<E@BW7s3gGmTDDq7r_~)racjo>>XZZhmI>vlg0xAC1
z|Fw8@&Uj7o8%jtUylE6@0>}U^yS*CsA#amqgnR4@=;OZ7xowVRJMAGr7TY7jDeJ6l
z<wi(#gagz;0ypMO!L}}U^uGG{rDYN(ojfJ)WJMZNSofW1?wZZ}k|&{`Dv(fFyvieV
zCqQSME`WaQfVEdCef|sZ2A(0p?|xF>{r5jvGI~;0xj%Z!cbDKlByN!H>c{TvwY+N$
zyaYS_@wUluqMl*C*>s*~Pirjcpi^1l1Me5UQQ3P+Jp#>T-E5))9LBbdf2pKP8C8vo
za*mbRo2u%oFsTDxGl~Z6UxL^<c_x|`xX844czY1fld+?1MT=?Y+cN3lw0=s;-<;=;
z{!$SH7rFp){Du?T@Sjwqo7nQN7}vBEiA16)3jX8CVX>mp-rC~v7k~D+oiRRxq6g=~
zhMfCTUGptcgbfT<TgWv)h%1^-OS6<m!7TVY54*Plz4K3yyajzkM`dL_wXmA1I}Zz>
z=vs)#q!rC=!OMp5Bcl^?Hl$l6gMO|<vLR^fJBpCs@^>Bv^>$`I4tjo)>6Ex)c~Si!
zuS^eFCAnjP4*pWiRE<#QH=PzKBOqjd<>N1W$f)Nbu6g?A#9dgDtHhU?6dTfR!>}kP
z>qMg%k%!iAcab)R!sREeg*QPJ3OgbaXy#Xis6!GHzj~E>E_Juh1>!JKNSMM>pLAe}
z)dvI7#TVXu*m(#|LCEp@vk=&mCChNjZ*J}H^F#GSS^e3`B8b0KA6y7F*tTfkD2SZ?
z<Wx(%nBLATzwCFR7OZ0J(O=RPYpUS+W6FQQP9`k+tHIP?s%M1i?hM-TU{1e+llJLZ
zO`5`2GXk-<-WskW*4i)sY31{4+w9Je!^&({HwHc4(d<#)awnRKGX!x7Y5wrs9a~B=
zg*9E@{kg7*k>Pe65OK9NOW=6!q`3H;BU7?W6Cr1)@-vGguhW)PENAdK0Z|$n{t997
zGFkiUSnUnw76U?oCypKd9}X;kT||Dq_D_~SS_AKG7TrB-gWw>=wQOfQ|6#(*`as&&
zC(i+qgI7WFH4afgUh9jSfYFlU*~p7Phpm1096~##;R(>Pact2CVsDX@G6_k3|MzIq
z6EgHqS$Ov|@NO~_Uq@3|@c--Rb$|u$dhkqCWM}Zfoz6)1Jh5jI8kV3w4TD2B8D?1_
zIem{)O>F~a{hJR8PCv2aXxSiaK3jrD9EF~`!&YObilPm|I@!cKzMSNOzT-X|cG`Bf
zK<NX=?280JtS@!OLf60i$m;=>D=;$ZT`+n8u;FYpk)G>nI-u)9s`o{ebmYGp`4>6}
z$~>*+UDn`TatH@Fp{#F%l=obI#(}7=)WNoetMSChSpd;7VMDP8ZorKB=PIUeUw!T^
zmK1)50iOv)kEDS^W#2;tJvYKR9{cAcj8F~s+su(bvbVaZCkA-VZrSk0e>SZR?hk?D
z{r^%G0-e4K48;tf<hrw_zf}28N!*M8R@`Cx*XlzQkMbqrjxHr<)HL;Qn&M=^6{nH(
zc+KXQxqNYeG318ua^Gq!VOQT96i(e@z+dGq$Z}J@=*s7U(}Hg?U!!l;Z|X}^IVqj8
zd|YcWc-jzu@F4F%_`W)lD&{CFJ=ry%CTmW`LueA#F@snC5)~2*^?ms*<nyOKodrZ_
zCQF8Efc}eB0a0jnLqVz3rgmJw5F1xLaWv$xNEfP7XzO_+v3^s_qO|Put{x*Io$<3j
zh$JKxNPFf5S$ke7kP6hp0u>5@;w@%<|7(qMAYpK@6U>}Ax{b0@^;x(H|6NE(r(n42
z5oaV(0KDW<*a6sik8<}Hd_e>r1xY_QW{TyQu>-_c;Q#SJd8nj|L3XHGMgG0R06*7%
zcroC#T)@;1jt8IdXVP|941G8_y8;X8loP#5D>#y~5O>6%G89Ic*QAmvi~6Nh-4APw
z+^Y<oi!VHcf5@N$tO?6%c!$ow^d2{FfC}`oWDb`)n(fAy1cM1Gi##l3k$U_|yOM!f
zPGxdm>+q2vx06F75o<~EhbC<T)YR2xJ-eHk?FWv<R}9qdM=U2P#a$wouDS3ob;qC?
z&p8DPRaAcVbM1XpC+#Zy@k{}mYpizNE0=!CjhJzKSF-Sdt*t63^~|Sb_l$R}^&X68
z5Br`hvR7zwZLSAM;kh6pn-wwhCH&?kCFg-w0fM?t8t&pm=3<b9u`J#7pS4(b9wooi
zNbWDFf>yy<(N^xW^b1Ao_n%(kopZ+QO`*Yc3lU39>J^T^d|25@(bLGGn3did(<svL
z(4J(mvc{CaV(sp&%uH+s4W273wK1hDI*2votvCk_-6<|-toc^CBM~NtB^s}M%WMCQ
za5Oi@Fa!Auzy4CO9K}bRfZ0I1Ofs#71?#Ez=Pb;7uAjQI_<W}xeSd1oyElrvQHl>g
zb|e7vIy$|SVlG)$#4tiqF-b)p@<>tyTsjK%sPlz?U!e@<-s^00-PfIli?8)q@Vtkq
z;LI{~1T~w+c=eixp8lf6iKu@EU-gD_5_Y=V@Y8y3-k?pE&K$n)bX3(>znhM8UuniO
zwl91PzWNXw`G(9^uuz}Tt8mNZMDEdvr?qKk)0bvek`?Sh<4~TZ8Wy>o+nUIG*})`O
zlPmIjj=bXxLJv)`e<EIxdvnaqZ^0D<{&mW@tlnn1`_V>W%!@85FxuJw>GSy-RRhlo
z<~nRS`11F9LJ&^dTGHwMA8e&rVy05oi+Uoib!fr_5(%y|^fT-@dA!?Bv|rB{8F((c
zbB%_2L7*`*_@1Ae2B8{d=4>PVFfP@`(i|oa+BcD*ddG5ZW+HRkR$$u4)Uhtr;OpAG
z-r-euORuBAV8JzQUcr~n9(~^_ycmSM%b~()UJ_V_)n#%AvU~NRk&XP=VITa~1|F)C
zuFK~3+trFIy&l&(O885K540vgmj*+I2yZ)IoCLhOKX|`OPJ`x0O{T7nr(y1me4!T1
zuY(GLe6RF32m4zt6Fc2qwaT=3fkIDD7icy_PpOVsEkR1^%nw(2F@LF5*4bI8iJ`jZ
zlJCx8XV4LT6Ial(=r*nX<Dp6DagcJKLD<A9Q65LVEynAj(Bj8hSm4K~3P2`DAkO9C
zp~+jFVkn1WQ#JbDr33Q^FEF8AeYEuZU6u;qU%RQsI(<`Z0mbI)EASzLgyEiP1W3Uv
z(_lnG)E3@&(ALX{gEoRgyiwO8uYM_*b2=}TMp9Hgj)$3IG1ZwJN|wt=R0sGfVF~+u
zWK=hGg&!fQ+;>~?#W8@%jNvSPjVFt!t<c4p-3uiu{>TLl3G}@o=@_=QwYs_U6>%K*
zZHB=<{ilDnJiEmUL8WSXN&Va9aSO#Ot)c|!96#S<=-ywd*ej-zn<r_zE)TUdo}UA^
zPhvk=_%U~Ilz*NMjf?enf1NAfxbzZ}A+iPLg3OV1fv^g8J=D_#%^+kqS9{5ut8xiu
z@d3NRyc-;H?eP)Q0x2%bV1oJ~iT#d#wkotm@Cg<?KW8~eN2mO1s|>?jRbZ)=_h}5t
zk~`y5H=fBK+y}W-1CQpujh9Kqu#iA!_qB^YzIh(Wa)P=&3==^T;x-&>kg^-(t`45N
zcL_Y9K_`1}39fq6%s7|sFl_H=;ZO!dw9C*rK@L_}D6_^>4e;lvD`qgx=DoRzeDH^(
z$Rp;v&g*Us{5O~A?Pl^NY-w_DkT&Pr%pQ7#%FCv8qXK2@e(OAW)->#jn5N8IYKM}B
zpM{zQ)0FN)EKU|?MA}>Lj(UR`oe(YKsg-uV&b6b))sG66)P0X+4x(I@oCiy_r+PXw
z)b55?6fF|jGG4T7emW~$k>Gjfw@ms+iU(pJ`J!&WZt;YSQ<!H6+CO@h`}D;Nk7@TK
zfl;{WDyFa{z?`4a4WS=@A94dl7HyWbJ^Lb2CVaniWXKfmzUO!W;m6L2on~@csCNFE
z{z{*+X=KW=yEPs2c$((q(l|+Q3>b2yRgwmFj|N<(?9qUdm=VY={>;8<&Dc)ZTEQ1Y
za~-~PR&R{8SL0+AOoTk=@;&wtybEYXIh`i<c3Mb^vZaoxsZMpTjhU{;o>X@lD_&lM
zw8YN?hLVk>Y<a+Ki#64=v939iYJEWIzVj5wBumVY<+fWN9COG_07gKk(gq_thk-p}
z63E}^hL~-~6{~B`$FzN#Vnex9>F0Q!nf?UV(&X>0Y~|G^+BM=ec$$)a#Q^-so2a8|
z(b}(fHw}IE*Z0BTMb`(vq-2&-U#|C7O=&vwVOr+=cQ*iBv6cNkhk(sI^^FE%04^Ur
z*YP*qD*B0Fi+yy{t-5oNe8seA7nSo9KAXESFmT&+KuY;PRz<Vv{AWu6gbl*#GEpSs
z`jgKix!Xn2BW_B?R;64Lq0OGfgolB}H9h3;hWE&Pe$P*~9{}ZfC`E)2{iD`kYCY|}
z%PW`Fo4MD8>rUP&F}Aq-1Jse-L(m2!LuhvXn?=obj{vf^<>a9PiiZ%kk2S7K*Y|%p
zHmm7%D^oHqMG<_RtWHy0upv?;H+}dgc+i!=bJvdj%sE9O3Yrvet6A!S+I*sFgWd&B
zAS7IRHs>s7=TI-4n`Z=+Mqgqvt0Ob2cezpaAVDoK#7Zp_AKlStQx{bFq*!4d0`LCu
znbthG#IO8f=6tfZt=`4QnKC&o+Z5N;BPqYA=DPF~7q_I!={d3$UT31vKbV;8k2P7H
zc*JsXKi-(SB5x1XImqOvpp~vWT0Snu2bb$hl3aq2`ZB`m3+&dP&1xW9QR-=FDVC#^
z!f01lS6{fzny(u^v(qGlzXhADFIF_)Cbq*hCYd4?!!$HDE!Pdc=_pGxFlfBLc<}6J
zfsC>xb8=lA`0~NrWNtsJ1pQ;J0s5Wo%A5{tbYnV+wBt41-J#@bRfVZ(X@zFB)U!z!
zQ?DgY)YL#?=SBDCBO0w!vuh`0M3@q(L643myHm&_A02)cS&jMy0DaQs`OwE`dvR9>
zxc<Scrl)kDNLu1#wUlB~03zb6q4uJYeaoghpN1K;2K&q0egWd;3i9HRj(QWQX+5r;
zI2`2&YRFl9Sko*53@`b^z-vWi-<yw+@wAQIxL8nqFI^f~E0Qd_+5uJjH+omY|E1!V
z#nR^g#t@mxBpHIL%QrKt>yEciX0{Fj*W|wX$Sn+lk%r0EXX&-%S~y|ZbVZNqYx;2|
zX|S~&AF84M5nf%|#DA>Vq8HN^Z)Ms_>6yQ}2gp90t%qbtQXYcn1^Rf*P1+K~Aq^Jn
zz%10Cd~UO{bd++@Y2lJM%vhKpFw-~wk*`u%y=MXG^<pm}*6%=9qL-8bX2Kf>G#ERM
z{=gQBSZk;Dih)L5i9GjVj%R7jDtkESZq4MYaj$1d{IMSR_~Y;+6odWSPOTK%F^;qM
z6W;U+V)y-br`gL=^gfR+iYpyJ(!n*sb&LIOT?U$qn|gdS%CO=N*M+U9vcYqDjHI91
z!I{4~X}jdNj+zDTN4o-h#f=m=IJ(1TJ=^FSnR$Ak)nk=t5rB8w+GcbIN)xCoVfH2F
zX-Ez49}Hhm7+3J_>R&2Z&Bkwy*<xzMR=Z$>$73Hy=>a;|gX8f|uD2vYEAC|(*oWa_
z@t3^Wd#haG$v`|oXno$Cq5I_9bMZ1Kh2-n4(rgjUaN$Z5Yl+(-KNYb*6yB9%zVom(
zo9;DQPAN*2YUeBc4mMhqScW{Yv9S&JD^o01-2jp({$zvgWdwZZMF}VP^MhT}WpvA2
z)_1i}o=1C4Qp0u8M}lM)MkALeOA<e#BY#87`QzmLIafX>H1J{9Qs#5rg963I_R}&<
z?<-_%>3Ui_L{p@IUN_)%a^YrUbKNllNLG08@F{KKik0`<tKLxE8&-AXGUv-BQlB7(
zhw;aqL&5i)A&jl;b?xpYX>mV;N=Y)k_)7OCmW6ZcHWDM4SCCuX_|9Lsy`F{T1wRT6
z>tdJ(EeNjN#}foh!PF0Dw`KaG#n21xMbx3xRHlM>+T)M-lTH!iTD(N0gp7#&gKJGo
z;5#<fiUo}^P|Z%hUGKnM&jPd0);)qgt?EONJ>ATR<M~^J&cLP8p2zFKci(SEH7wR%
z1wR4WI*avGNY&t0i}zwb$CBzvB>DkgV(wCmY8}rXkpsJ@*ds;;=NpKEFCNEr6Xkqi
zuM|tKhBdlHf;nLJcqeB$ybW5mY$D2pM>>bvdNQWfxH7REp+B<OWO?&(RjeQ_MlWNH
z^MDQ125kz1O4|^9Oysu|<g;Yt1Y$<(&5|EvaX5l<N<W)$ZR*nG_TMV`6l!~#&p9fc
z_(*Ydl{Gv$N?ND?4#-MW;q9PBHeNJ-`wwPw9=u|59HxjkIlFwa*isPrs#WS;U-_l9
zKo`3%`E?stdsXZY9Z&v}g;oF0zdBbu3$69PS&wIx6P^FSl1GxggW!S@7za>W^!cDR
z8BMoRO8*E?#&Ft3EQH~RwW^e-`3FAqY56{|bO^L$=H=N}-ldIq;>2G6SkvdDcfXma
zce{Kk@zivZ*6a+iY!&@{!N^I2tV5C)jjZbQeP#FC6|GIpas+%%o0YABJJcS1L|G#<
z1&dL-eF9cf5o;fqw?;LurIc}!;}bJK9TQD|TKuI7NAq0SxIej(nq)rr)ThQnoFTY=
zT|fbOAG;MD4H1H6|EXU-M16%jGpH|ha41epPpkXl7z%&h$n!6PPb;TvzrN`ruIHjt
zM0rLY4Ds8P@+(^TT;frdUgd1w>3^b)q#UgAOc64-AZ&~9zW>CnuKVs8A{l3y&6Qbx
zLn!LLaA2t6H$jr@56=DJH1*7l{EIZ(bMV?M_F?xwx!u{UA>C>M8dQO5k_QIi10sKR
zr`#5ILxS)68Fq85MNi<7HJ1$Dit#wJ{t!D_hsdT1<_GzbZhb!>vk)c<vq#k_@5T?T
zR88_ZTMhCB+5Ae8M@f2nN}?C#2boy;y~{HN)R*Az0m+Z@!=OU#J?^?<C^w(Rm&KZ~
z3KI{7%lny^U=N2t4T{bMgtkG0AWQAYk(sS~T70>R7_=LuEBNLZnrE829iRZ7Raj_@
z%syiYHKP8CATqZhZE-xDlwmm&9nK1R&GYqCG4DK7Vc%fhutua682xFf@1|RsCBmeo
zHrS!~vSf!ED~pl!^o)A`u`=s0>?YFh+iyzOi0jeC$G+@$CF09Pq@RzVKz&^`O|_}h
z>$($RPw%`3+KKEvaCh)co{L_)^n)lXKUxcI>?fxj#<{tJ?-Fq-)oy!z&&M#%@eDki
z0KnS3;W;TY_pQI=qW1TY6;TDm(Mm^hu1T4QVbzCZ%XzDonrck)XmLO1<*zT7MC#mB
zgNX}!V}zW|?-{(6qiN3@h9$Bqd6fgd|B%}JYKkJ<S}cgiVWx6Bl<#W?7L!#Sf@_EP
zo~GPhj&14pc{sQ&xV%Ql#?4(<y6udxg>HvMO`K}vUU>J2I_C1OGCiT-;0I4-UA#=}
z!+8ar$4bvnoi-EcuhUYUu=am`?ME2;IIZt$v<-F5I}Wf8E*O(Mw3=>$3b{6khj&`+
zhR6Wv5+L|AQD^?!>Xq#Jh=Sb$r`6=WgAT-8h|T1mG^|g_{nt@6_GCQ7(yy+ASlH<{
z`BKcY<Ghl(B^qloeXCYw)rBv{0bh=7Ym94J1g5m%tvq;jU~DNT6nE!FXraZ9bg`m;
z_}D}ePI&B3)2PkJ{ZAH6b&V)*`{2@{%wm;(r&9~PLK|Y{Idejw!I=088eLgm-w<&f
zuYOZB%ll`sD_Ia}rsAwL@WuOrsZK48U&M7Dl}$*F4f9Bi3-vJ;kC>V4NClJ$Itov(
zxrmwy#s};VzMEHUAz(>57L$G<TL<d_7IU-EX?SW5DDf@JxrHd_$P!JhJZNCzhjgs9
zp^t^XD|qV=5ieV=3-+|22==l;t~49J-V>eY8DrX^c}X)@wS03qs=InfMojOy?2T0E
z+4(Tx7jgFo7~S7P{DKD{EQ;RCkZEn>;UmKIrf&SU0&?Y}OU+C|li%_Pl6+?f#CV0Q
zKtSPYG4UD`G}SV7$7xCYfkyKISEu?NOd~g!PO~kNR<&+ayDhtjtOto5a7tb)b)Zvl
zZrmz|F_se`W_ul*H%bd;*Y_oVT1G@U93WAl3s=$Ls9^aKm~?)YobP@_dqzZyd3*&G
zf|v=AW%12Cz`B~)893-*#0_3EpQEWB=lGRPmGQh)1mGk-0P<hJbMQK~&Vx^Fb-?d7
zp#D+PxWHI`4)uiOz+@<jiZVKNxF~+?W2$2<Xa_E7-@I1X?=2E6x(R!-w|VSKFfY%%
z<oDskWJ0DWBI@9I?Hkn#-@bEqHK!jZ5zg`aKpN__jsPEuhDnrl9>*#lG(dJT1Kgr1
zbcE_I2p7yYONE_+)$WUa&(*#KP4nk<4M<`LWZPD8qOhKQ26U3n7EgF0ZqM(sWCnxQ
zLTpSpTAqoET+WX0=7L0t73M}eX?j_BjdUG+bTTNKW%2icE0~`s%hIymUe|GJL7YPk
zk1EnAf8ux{U(A-=Z*T_~``-Ksrf*i*F8<#jHOx++b#Mr!%sEA%!BTEqP&4BoLaJhz
z!=}?4gIR4{;Ky#9{Am>Vaq?Nmq^hATQqDlcWxk2`O?9MT+DIygyf9i!C~!Cyw<~by
ztNehMWkfZ||E!Rts3UZjs`QU>$?t%=t+|`0$oITwVW?DMRG?A(eBk|Mx^9X+z-s*K
z{rVQ@r@JXP<igSnLS02~J%8^I+hv?ke}RdB9a#XXjooh*<;q3B&xN8y=L~gHIMMV;
z*5+TT>Ka7<N1q!J5*A+9V6l|yw==*52<2GUoiY<+ihkc$Y?Lprt7YSyed@;I-U_Ds
zY>W4^khwPnTGqFaHnmo4+KKOOBGDs-_q8qi{Kd+7T~M4QDzxi1KS*+b1@7~5;p9I#
zK~9V1ar=Zak8ZpRr~WJf>BnrIa30>OZn3{GRpk{yXnG4^#{UFkzX)yN;}xvM#hx%Q
z(EwaTmg+D3w*1zwXV_~db#Qp2IrGWrdCq;IB`dES=M;ET=VR-^Cy<Y&=;E{HFGt}&
zP!|c;`;Om?H~ZpHR~ei(2FO3&3q3YUpgM!ja}(V6FvkhQGSQF==6XwdY?GEUV<sLw
ztqLD)au2?fo#5d_`-xH#onOYKyGb~caTU7jse-Fqp%!PM$~PAXkgmqTSag%W7m`_b
z)IPSbkw$WBQt9kGg18|Wlm9rn;Hy1rkdikh@l;oY>EZLPWmbQ+{D-lso(e(f>S+#v
zGj^+BdLWlxJr-5&0#dq*qgcKck?lOSyS;qjkX0aiFSnEE5GB?O_RXGqQfd{`?%MY&
zbBBl>u{mE^KhnzLm)pgbal3K2nX6>;{;3bqN}-%zVL;jTC+kG;u#E(IZ?_%uky~Vx
zGP*WB>lU}V_i`zhb1A;%ZMQ_>mbIoVqI$jBN2vi%Be)sOs7qHc8?erQYvXu9Eo~m=
zm_d!@!^`jOLq}!NtL&{^Y-_U*V@xt)_o6%JZ)4pK0~v1M0yk-<yxzTdJRcK44e{z*
za=E2Vh%SbCNU$B>9#USQcMtLEtK+eXpJ-NCJn3lCRK7(RSm;a*DC01xD^4#~R4oW;
z;FmwW8Lkw*W-QwHO{mB?^`tImW@Pm_j#F3QQ_0eLVQ*FjQA=;$q_w%UVC%HKi<<`9
z%uo~*Z8cgjx}&vYoakO35Hep4QexHzf`GZgzBtGn&4$yn2%E<SQIm`bdgdc!p~Zd=
z@U<SC#Fg2Omldh2O4V6iZ@Y`vEix-RbTh6HzLl&WZwf|kgBA{XV;VnP)gn#MpKq<+
zvaDJdbk2w#K=ifNCwa`2n69o&5KFzc{4%40841-tOrYM#KWVbE1CN;RuXz5^ScmBN
z(H{F&>}76|=Y_@<Sp_4TwF5;iqQ4wRyx3aaTP+SANDEkq0o<-;Xgspx<RQz$Kpjr(
zl(G@QZa;b9wjo-AW77vx5gbw^Q0b9|ENy0x|Fk2uYg?!MdE5F>a?G*Vq#D|Z4um?m
z5$x9RQ(@9<_iUN<oyzP4%99P^?^`IKWP-c<A(w0VTmo@jAq5Z%I#B?oL}@VU<hO2n
z0S)ZGtF&H|y(Y*~OV)Qyq8@bk9H(xW#a(<2qi%@Pi=kW-|DIgb<w?L!A&gRo$gYG1
zxb1ZvoTUQ8F}0)k)%K)Ztb934oSQvL)@lA^@b%ym>0eGO1nj+y6eU#tEH33t0%M1h
zV1?bqhrcf~IItWlf3t11JYe4&0=yx@IF}nx0U{K^?gc9F0v$K;g7@33;lvgB9}t_I
z)~vJ7=oUy9g@cf5zbsK>;|GI!=<%g}Pvl(8Y}9*#-7ha(QV+K!OzkZ!#YZ}L`|JhH
zR?Jstp4zjEHjvMctBZvieUse*WC6N^<Tlt7OL`%7CYCX-bkn*PwtF+HWoP>M^5VVG
z4x)PGcC(Uy?yO3g)%HH}X0Y$zGZQuR5^4A9M%qKyY-$ULWo?gbaLIfaMonz{O|Xbx
zY5M~EqevH!vopGpH_NeS|KHRLtUC?_+5j}P=>*Kpx1=2HA0*mg{?5?WE$y%j&wgn{
zJ2h}S2vjB8cd$`kdNAVqK}$=hwqVBOP!qBmi<;s&4gz08GZ=Po-yRVdYX;jo?OqV}
zLH=4MNL!14+1qTRhyZSoZ@MRK^h+~mH|7}7Up#c0Ui_vgn$&Hj;J%ct5lS7h7UnV;
z&DTBk3i*&9zV1zKjYpEeen|&51VKE&+#058H#H!QdO(Guv)lzOmqC9@jBvT725zpA
z0F2*rua9|EX%-dda<5TKNVY7W@5mIrjXCAMxWxEzUKoFPT_<aujcrK1U8^*7ut3K&
ze90kNTv1Oj-1KSV!w$z+vZ0bBb;BJIK*JdukWsuO@eXq3<(^gY)Vl9;|2jkSS8VBV
z>~W{%2OZo3dUUFLJe|blQ)R)g(ay*4R85yj7eHe!HBmotK54jTy?18a!KL+J!v9!A
z^D$j<LlF{SFW{E2^7v>)xjj+`w^+m2?GaGJ?(5O9mR_|6DXO=gnmGhPtBJ!Fb%W}P
zRA(+QMY)iAC3+K*W#N;a8{8i(fM+-wb3e6_!d{=4%@~rO?Fh7wU$N1{_q7Y{u`Q;e
zv)h)$o3+cDqeFV?XnFTmzdb`5hJ4B|bAwB)kUGP0P+VzO$~_UC?!*&_8<1P1tnj+f
zVsTz2{+~XWuDeBf7&8i3ZDH_-rxP^}3w2(wGkkJ<Bt?MdkZ{y#>Wq&E?^Tnv0rz&i
zm2vQCD!f4-fXDE|PjHr1k+Z5gLjGx`x)Tx8!Lu&}1Jrw!|BnV#^o$}l*}NfWFHzus
ztN>~baE-Y|`nD4>05f>81N<W#_2<Q?h2lvT;Daq)NyJ}Xt0zmHm3Z%-^E2{;7*^Ea
z)x)3f#0~0OQ%p&PXa!v1wk4AMbg#^Yt)`-8Z#Qf>1ReUp#hj63gI=<a1!12c^}7>W
zu69S2uao5DTw1ML7+>NUw|PqlAG*J%j+j}N5H#+gc_|hzLJoqBefo}(c-G9WK7jY8
zE1dpI1+}qAS9=#yAx<^8ZgVF}I*QlC+2QPNZWNNuTYMob;s^{-@Z4y(P&tZtV^wXK
z51y+mwYuyZlU0%id0m;C?1>@xFEX+cOh!g-Zo{5ji}HU(`botbKhRu;7TB;l7_~+b
z5=zG#Yie6s12a|E!L<x$b?<B7j83f_qcS}p`zc$0U+&e9S2I&QGg;u!GdRv6wpju9
zMQpKR?C@#q3(2c=YO{2#xKqB7wY?JW*H{tw2q;y!dAUajTDVlX17QNBZY{pu^LK{H
zPiWHYa|j>W?CV|B`h9w&FMgj5lCr+|mufq<2tpsL0u#x#B&6b`IT4MI726X(Odg@q
z-{aE!3pU5F)?N6|(RKZpBaiL=-Z_Z2?}G!ulwWb(4T1tKytw%8er=pLD)e?!b=VwC
z$*HyipowGE9)MH)pM#o8FA5}^&aT9)vEVY|J;y1$l;MDd4z~ydTXgxG#k%GZ+c0)q
z{7yy8Z)VfX<1D-zS)6__LbgD}a<jv%u!dSn<DDIpby*?y+)rH1@o3BLs@qWs)?;<N
zi9DFqY)mqDdRP~RR^oXwRI__UpeWz1utEnVsiYQ2ZA4+CjL88$?`CGXkKPOdgB=+>
z4);5uu%?f?{=Jz<KNZE%_w2bdMi@ECAb?W@D>uR7{Rqh<3+Dx<W`;t-OKaId-Rg=4
zwj0}yO^VGy<J8l&Z@_QPY`4m8ne9!aAU9>1%6z83jhUxBTF<mH?OzJLSQT{7xCDY&
zHtXH6A_I#kwY!oac$|tC{HW-H(_?Oa3xRB=4!TIXhpM{myk9qf-9O7N+%pY*wKssu
zhEn*3ey!r<C73_Yp3oxwD(yCPuQPR9XdzXx#Fudb%`Q-1vagcqvRt>d`tpUwSEeRI
zP@>Hjo)ibWH<F2B{?P-pTIKzXxiX(na{Yonb`P}5zOL@{@w~C$Hp{F*c7JnT<d%e2
z0f(k~3-rdOIi%*@U#cg2=l)U^0X^xTwenw;miM#%Qg!|lch2@0n4$j+UhC44zn8ZI
zRp}2d3L<zRG1RkD(*%r0##wWz#*Y4PxGJqcML(CqxR7~)y$PaJ*JuVk3b;0Tx`0$t
z;;yAR$c<KE%Iw@q%MwnVI!@^#tj9A*=J&2l2MRRcF|fvmK&h|}LzqpO#Qm$gdhaV<
zRabfb<MG^r>FU&>+ZIwdmbPow^VqQg2%GxQBIw`gAHRhP9a40KuTM*yv5O2hPoFXJ
z`u^x1&rEQrY;}wJPsHqT*nYd{*OyHV4OCXca#521$HUbWGl%4;**)Jl*JdWAj@r~z
z)7SRXs=v=aSN^hYMl2|s?#g%fS9I?<kn%_rAE%wXniBQt6ydCU^6<f(UPQog<)PpQ
z7+3ZT?Dp^xb}yZf_PiMr=zqb!s)Uv{$}JxJS|NJyrj5$d>!|5oE@iIAtMm<zWSfZD
z%HyGS_&h&{MW6U=M~j*Xi!sxE?S~ywq$>HfP4kSagxXX9frZ?tEY=f8m6?m0?8}<x
zz4)G>=PI(+AXV{c<HuP6vUC`YtgTWXK6p{cu8$xI&6%4Q0rxA<)c%%*Q=!wd6+e*l
zqQ(XG?=~jAQCC>b;XX>tC*Qz}7Zz{$B=d2+vG9D;(AbpxN=r{A;}oSvaK|@kg0IwI
z7$F<Q**4HLF}Za9&tIPvjt+-D1V_!^B!mM}%XZ>%r7|Kd4eIG!QuAP;#_nqAwh`WJ
zMM#i~%~A=4$v{kohJ4@eEOsJK9MAMwi+gf&5;Wm?Gky~b`lBx1H$_3i9(DAxPn|S6
zBGfH1c&5TT%4)M_C)GXuoy3tY8E^T%Xbi9fOkl%dc1w(OlY|4UiV0Vg-54me8eLy+
z^E&M<-?^zEkzqw&_a!}gztJDc{1b|*?$E#j$BF&e2QS6e$e4SE(^VM~thzqhK`mHh
z()y^O<BL7Ct-n&;Nord1ri+(idmGPX^$0H%Ba|5T&8;9kR%iQltN*3M%5f=kZZQHo
zKteO2gJ`wJ-lX>ay2*iqzB5acZ|8wHt@9J`S=Q@7Vi;T821C#hT^8L5uOJq<qj^~`
z9I}_;*JPyQ{ft;bSGMbb7EO5Yz+PyUG<rPQ>)`?2Iz%5~P8n?XJfotZ8|apry3?<_
z?=Y`#^_${okGU~$Hy5V~9seuC+8yg5AHwSgE!MnwLeqR&>053ff?Bg5I+Z$boi&F>
zGY>!7QQ90wL*i^$;E|LoV`+v-n|f6vuPT}v&16}9F1XID_j_9C0lSvLkG_quz{2L6
zMPQJ>M6R;FKHrn#<6`5=5hsu6iD~ovCd?maVRn|Uy!?f-bvj!};#ai>l9FHi<KZ2*
z3`>PbF&3G*{N|?ocRah7hxDc#I(=`Hth?JDe|bZhVaUu-oU-fk$Z6tI$N9dmc|f+r
zaY<V=j2$svYkO(^P(v#^=r2{E`)=Gg3;brY0%Mm1y>qU?C#a9b!)e_a#$Jl~1-lJr
zy|U$e9&azVrLAOiix<Y=1{?Lwz(Jq1&fz8-3SuVvzzW|it>~I>&0b1985J5Q+=U7}
z{$_Ig>NGdW!CN`2@@_HPtjIcZqoTN_RA+sjn0^`{MJv}|DWa9(-huiWaz$3h2l(s=
zGfd)QJEFw(gp>~~=2>6Dp1fcrAF+mGqJYio(1CyhVpHbe%?Eg<|7BGmm)jU)j#|Mh
zJO8{VH1eC4tw2#s9JTyEcZxZx%K<NaGAl@G0q>!H+GHGUL#lZ?kn~F?b!D4~`qv2-
zr*9vJd|}T>!F^u+W}#my%xuit_~1aaHP!iJ#?>ZR^6-qh^XyS(47>&&K@qj?p?@~P
zArI#Ns`E~rWK+<bmOP&T1cw)!c)wcHpR3w?5X>f;%_(~w@sUlHcoOVT>b%Sm9G#qb
z2r7FqUWyaA+pY?HIZ&B>z?rr7Tzn3Y-1XU;ga&5&038)O)<2aur!M{QjpkSV#$17S
z9!~z<FO9Ekv8udQde={T`_%_!G+^%=2(h<cisvLu6ED<LIx2*ms>DqPl2;7loet-G
z7sXL{?c+BDcoD%)7f_1Sa6qSb{L6Xk9Qxe*m=FiTcFS6@s_A1)?<zj$cX@n*#_jX!
zv@MbqtjDGunNv&YZJC!8xq{z#=>$`RhIed5g!{xjO3Zby2AD<=e2*Qm=ob2py3t>?
zhR}ymP<=~{Lht@|Sy|LUPKKS9`zq!r@Tw6%n_Z9T{kK__$1H6OL797Q$DTvYjLS%i
z-rY_P*M{;*sC3J5!Vu3aChe;T(8?X$#JrxNhf}RnBqkIg4tedR{+L%)Qa4gHsjpo-
zx4CI}rR&p5@8R@<R3o$2pVO`12EVswRW1i`x<fS8NqiPHsf|}MK$X$mbv_v9kVler
zzhrkVz52r*H|}6SF!sgi0oTk?Vhh(R3nN^cRlHyA7&0WheZr&C|G;it#6w||5<qmk
z9MhP)dUq<9ru7{bY_D-=*!zp(gJpU!(`EqsKw-fX`a2O07jk);&mn`DkDpd$oU}J`
zqm~1?1Unl?M2FV(=w&A-U)d9><Hjg0YFM`eMmvQm-qmd8l)0Miqi&Wfap*&SY`d5b
z<HyE=6np-ZSxG_`R4eD)T94eLCr9+#M$M)q1;<v-Q5gl#<+=M1)^&IPG{loTj|v+_
zGH!<F8+4Aer1OuapzPY{FFVuR=H%oKYdQJ8P}Pr#uW?jvU%n-WXYH(>Qw8qo`I&WZ
zU?SlyvRf-1r}uGj7;L{l{c9qjvl#AV-45Ew^>mT{p|rs*d)4Wyw{P7VMO9cw{59;P
z^4$O(ca4D6o;1Xh^2>&1FEa*g&&UKtw1ie~BFb~c%D)BtQS3;un=iSAk}n3^VZv-U
zhsdnBZS78k6`MtBHdp_*k8(_5lP?Whx`H<23LH3K>z(uB^98-3r{1#!OLj#A=BSe(
z#$%t#F|X(#&kl-k?OtqorPtoNzBXNA;b~?4`x8^8^+xrrFUW2jgw@h7-KcJl60-Dj
zLc8C3sPQ3&*zzuDyB)FRw;@d2K7;*Ax!Iyer+80ZUTNL%AHlO6|ITL`+vXM;!1l4c
z?5MBbgt%g8_(3V`=}*$)zNCUF>$1d@5y4coar{t^sS_u$75FLIsMgXnqD|XQ*m76g
zuU}QM?JGqLytKW~S=93eMt+fER2g|3hpbsNGQZpU2QM3*vjM-k3!~-_Z8ixw3B&m{
z*MFCq%~Kc;Z}@=<N8eNK403l3KD-Zd*tjb4Mp?*o-G!OdlOlKh+GKveYU3x4ZG-z2
zXJhAeBxS@mU_WdpAC$nE;>o(WT}nL9eyL@ZQ(A{2khs~MdAh{2j}nnhBV9PNBO+|E
zq-RPze>`tft90JZXFXj%yi<#W-eoGD4$7sc{hDEWXx%QjU(y{{^X;C6LNfm^gmN7L
zO?susVHLpkLHe@#^$uc)_oCej>wZRQ$^52o)jY&X)7$-y=)T4j-?)XYGm0syG%{ra
zoc3g`%9W>YU)W}lR=0mwuq?BblDGu~pV5FA***VVt@qDb?A0Rjg>c?I+pifu`X7bI
zD=Tv1dc~yIjv@eiZ3oC2MAiT0KE=;Hb9!_*@di7`31#4mI+l31P?J%(C){maT|Kfb
zqwQjA>=5_o)r<2|@m<Z(eu1s1<xX42W#~iJ<$ku&QNx_CD_UA_eH@AE7H8<AQ!j0#
zLOYQ=ZOPp$pFdsiqv%KOX6(hi!R1xtUY|DJ_*)*6b>_918n)}dG+$ixP{+uu@C`R1
z7Q^)47it;VX<C@L4a_(<G*`0b^UI0pZ!6QB<+;KhECE;BZ`yE=!Zh=zf7;ht{-iiY
z9`d3M@P*qVILr+{k|thD7vbHN6wMWLqn++D<I?%&2(+BHL2rdtZt2$e++QlL!x@{F
z_8H?9{nb%&e7-m1jGbvxFU6Vh3X}sLA%T;eb=qrFoVf5J6Z!Tbc$*Qq4yW_RoJ;q6
zT{T`FJTBAzm#U26E8a%Gel<Sd{z^Kvjz<>)J$j04-3d$Tm`H9)OIv8zFoAO&S%N=|
zz#hcS-zh{B#x4$$Ypz~>gi?ji7#cQ4t2JTvCen)h!nI@XMw?_P_MqWN*f8Spxbb}$
zgY&_NWgXTRv*4l`celnTEp4vykb{CHZjepJ6}>=BdUYE&UJq!%-wCn*EZ19ft>y#x
zg_`IU{CPhUhk7VYPP@o0?zchlTKgVdDOSY;8p=6Hdp{?yeBBs-|J=TyL(P1Qb9imh
zw1@8mV2?OrY`1wh0b^cf(C(m!Pr#(0Su-jk=&sK_Ya60!EC~-zI$?TC;Au;vJ;7+0
zp0|SwO>XvP+I>yWf_d>jzb{5|1{~PPiRXJOzI-6g=hv<3z-MgY>fHH#Z<U8(TM1n_
zkc2KPt36#n&3cb_jTQIx<(Hqdu2sSe&$4!uZxaF-8P})9!ov>be;*(wI;C39G*Obn
z-lc<#8@1D^nV$T}qnZz9uVa=H!yk)C_&~p7M{M^#NshI|-kS!mEi`mK81Pt49wU}&
zpEaTV@@mGs^)9bJ%#1)j7Y(RM#2LPSr^%(`j;T@K=4I<9>0I48(XbQ?80Jujj+puF
zJ;-h|zVrZ>z;W>Bw|_8qvpY-iey;)uNQC(9B5LgaWAsz`7v;t7sOLc&*PK*ess^sn
zKW!*{HOeyDX*`^KU-^CvOnMK0G*<r4Pubod2=98X*A8aPBt}~Or<spnf(&q)1N$s$
zL86Dpy*+b>=lBrN{1ve0a*x&LZbI$`sSJ_jGuj5b=eZlk7J4eeh(Zp@q@pr9aDE`R
zYhi{~AJ6kG&reN#v}Sa_W!{}HQ%?nQ|7F6yNJ)l3K8Hu4&NS&n*_SI}(Nol3)K#2w
z2T@~4FrM3WElXP6ac-E0u0ZoWQ+*!rVJm_MkloQLTrPM1SvHrSAOi)rw!adpDJ}mV
z<g_Y8diM!0kT66ey|H>F{tR0Kira8TR*AysUd@nSp5Qcw6<mHx39^LR76N#_P-Twf
zCqrxR-*6jB#W{wo#7|@sLV+uB4{)-n)2{iY>|Sf^fzHNExo7SZ%{4KjW=z)3tdL~j
zK3*Ti%&l2w<WamGci{Z-#Mz(`!HuNu2PEu-xx$njYfq*X2VUK%OQd7vA${jgk&6hH
zB!ny%4JnG@xYR~^yXXefJny=gRnIP0p!nvZVh3A=b0bT8vwoij`ZFswUEX+zFZeXy
zJTY;M9xPLSKz=+-<{~K(0+(DPaq>r-Efo8+{)S#*>Xb*pg@-71f*pRegXi)gspVn&
z&(@Lh&x*BjiII0j!O^rW{>jXn2vxhUuj@*qiw$y$*_=frp2Rbx*#5Cy2`_3mO;2`l
zooNAF5r>edOfHx@-nuMzeE!~6S(*#_TjQH3i7eLWMaC$Lzf|oy-rm;dw~^vf=<h49
zY?i{^t&%wr{~uZ39Z&V!|9>R3&^UISN>)PU$abjgO{L6GI8I11vJR<~U5Jix#5qP*
zWkooNgNAi%vRC%zIIG{KKA-!(zmMNvoO9mSdR^E1x}Mi-JYVW4HnaQKGLPXU-^&Lt
zL4%8VrHy*pHwiG1a!7_8n(;NW4bJbLbbd&+EXqM7nNqIQd;a07zI6@R9yKce8u8Ap
z$Z+6<UCP7L>1h557ID_M*XF)fNT@#8IbzKG1kbh4TvyCH$Ci<eed3*h-8a9*PmE;p
zy>q7Ji2aL?4~n`1eOIp$8c<jPD_eSsWu@Zl30@1>knqQ1CDTwnW3B^*I{jL<Xj$Y~
z?lrg8{pE#kXZwH&k)P28Qv4K$i?t6GmJX>+PESknKDGr;m?%M%z-K$bYU7pVFP6RG
z4+8LE#@!mn@~qRf_6wz2q@*J+Xqp$_{GRr8#E~m$Ojy6~jQ*?bvZ|t-EI*HlqzIbC
z3e|kY`^m3Z?XH7-aZwej_W~@^qGs|$<7xyxNGe`UC7Jn_H)$$CbHAD8KvUC3QkGf=
z$CimT0b{93KP=(zGhNHGNi+U4;z4KZ*l2b=)m&pX0qXD09~5*wFWBz=Rk*Kr|5sdH
z_S>!qU44&UFGYKC!>`}=ufs=Dtb&F(Z>(@G!p5=Tl*1iv7{F1gcYQ>#aN&|>6s5@D
zLTUoU)~lT)zb?woFS0FNZ-6}EdHjqcRNLPAsl=C*;_D_?f2PH~39G-9U(Am*+$_(*
z(XNme$BUo8b1_BnJksoVzvUMBXdh%xkTI9lIJ&X;SfDlktyLCM8y(A&xbIpc8-c*}
z*&R0&e<i;g<7(!=JY(NkXP>8_^nf&3Q#wE$>`JKM5{XA=tD^^Dtr@K>x=x<noS$N6
ztVx!#?FK8xQKzxbYfmFKwl;}T7S5}IOXQ?++20UjH*1^Vb>OV<SG9Z^%`<JcTn2JY
zwmg%Z8##PYMQnu%+mN=}Wf_wgug&eP6M~Y_|8i}v2kO>vS^y0eh&SQy$eE|`25G`m
zP1BXkjU=Z!R=IiL36ED7byKe;+E0#}`(rL?!ZECIOB*B?sW3y=JFGN*!^XH#j8Z4>
zO4p~4fYFb1nBMiN#Pk8a4MZmE@kf8j6oZH6-8gH&pX9Aos4>5&_hpwL;A%h~ekZfe
z!L2XLmy2T|b`^J4)#cre?!jA~y9sy?ILeP15p!Rb^!P3wA1nw4O1M6-lWhcar|rDO
zmfF$682|aI*WI=-*#t0)5H?-~R4SF9QHxqtvePrTjj^_v{Y8C`R5CL)V98Q3b4qAu
zYajVA))XH2uRe^x8E+dvJ%?`oG=ZjUNA9{8FJHEpy$PeH2HhlIe?S<s;+luiPn{n8
zHDa<f1FZxKvdOiV%h~Z=od>VpC1*~Uo|XyIer+2)x*V!B5*2u!qlUfvN!nvlvSUDH
zLqMtzUy(&4h=o&OEBcOeZReFa%nCUkZr+iw&HC=?sc79Q&zDudy!F|yAHF8S<J?t;
zyeDy`k_)A|vh-%$&=5|)IJ8uJ{OBpuuSBPo<K^2&)qj0Id-qz>@kdHMKUZst^Mt;Z
z1-RT;|8`iTPLTa(Pqks5-y=VKmxoC8OYsJAQn_BnFSd6D-4^j7`zZ%H+f`(8$tl;v
z4Lb|d$G03GKi3w0I$kr=o?Azg%+s(g<0Ibv>33<XQ?IM|&P!gy$F&CUl*cdiH!;_E
zHItexj=Vc`Z~t+#YbT{%8zsE@_2G_ijn<tu%aK(=$fhxq?M*A!NdB+BNWsYf0fcZ=
z#B_Pd9(Cm)&nwP+L_O)*$9W37{K}jc4j|(?54pu1NTo}BJR!s>==b)ntMK=6OdH0j
zCw?ja+!pkSt^#DH6Iv8G#RIr{NJUoeou4|7ca+sTBHOYRGpE)f(?M9EMSVJVx5`Z~
z)!Ia)$j^6;q~=_;xzLxcR?GW_Z}>TlSiKmd!b!>3fq|xauYcj?{JjhPt_cG*QP!j-
zqWp{PgrXo#Nv%Pz(otWcP46YefXJ#c+DXxoqq94|A?ca#A{Pto_SFXJ=KvlcQ**?V
zRPr;%A0`g_)d}ZD%oqrG`$NPLB<ay~<2U4S+kccF;Sn@<^f83bzcIE?vJ`Oh`exqy
z{GC#a;3NsAS;ncrzF&mR>BI>Ba+OP-ce2pEnCs&1lABHoNkB8PcH<5ezfS8Ho!g%s
zrcdr#7v$zS-OdRoX+n$dy<fJ2c;{}S!wH9JT&L#`QSfn<rH4Fgby|JsIt9SQir^}x
zTaCts(!}nl{!l84K0ShBK0`P^u~!Jyc<bZK9`#k74h4pYg50snyDxRyL_Y=>@|dS>
z6Iy%Zwqkm;I|h1*xK-yzjAOrQxnn3)Vz8i(uVz$<>{9c9KV~y_pk(42;Ze2us6P9J
zuXjD{U&0R0zl!J=UH$y6;?3vTWxHc87y!t_z4sMw3|8JPKBXArVug}v@04@1T({~H
zt?iNqTC?P(m&oLj^V_18!yM9{L0rEf$BbPUdc79(jiX^~4+zg~PppD%wm=PEbmK>K
zj@-L`H`#2?7HqOpwbwYB7%kQSh~v@Ov(b`s{Ks_GpC3E;lA0t`Hg5IaP&&x<%_BT_
z+F%9NgM82X_J-Q$@Cmyw^Mq&o#>ABGHD(B|KFbWZJqk<_R!<DyRR371S&jHXBB0nM
zwO4w>a;%UdJ*A7mGv?J5{g2P<`Aclp$*rYN{A{<)nuGg~FxWgAR7=|mifZL(vSc*K
zlRm;S<mzAiOvPB>O1W>`zKIf!`~7!mKYR1Z!up*m0jrlm0No~?*}9}>wDei?tph!W
zo`oMR#nv~u(l(mqI{O3lSB=uL($4hS5yFflO9yca$App#&fK!Hoh)0TS~k8YbnDn)
z%~|cevQiXVG}|+_<b9(WMK3!LO09Teyj?R_++c_rO?tKrobUKWwn~DET<cq6FQ0!#
z8ur?L9*?*%Qx@1rDmi*H@+hD-)%n0bcS8@Eol=>SCt48H4T7E`$7Y@^sUXm9g>(K=
z(M73l(kjZ%w`)xk-mq%L=ilyq9B59i%OqEf4nG<D#FIkRYP<UBQ=F20V5NX$*u1U4
zv=io`+~GR&9JL2v=E0ls!ySh!X!BVSYeLEF4HO{3^_`PZJ!+>7Z$JnqpNa2v?k)6R
zeuhTD_RiTs&lZ=?>qpDipF_$v+|t>R_mXMtYx7Y>jeqWg)BB;uY<l<aCt=4CsM7_p
zId0&7D@T4kiaj)&F4rZe%0aEaQ1L<}Vb8Tsk84MBUX<0$XB!VReL)=YPze|#@Mu27
zku7YW?kgykGSQWLA7Xz{CNQ)m@V@RQZb<Kjl7~%Tby+R;+_lp|p`43~qp?rR5$tzq
zyaP`&)A_5@_48ze_mK)xx$TVc7UcKT%Py4O@G{NLz@Tv{cSAF8^upk?>%4^%LobW8
zM*t^Qy?L1FaX}FgF#=8Cc~@dV?1xgqa}4M6T3KtFPDx^~&dNymmtzWjZJtvPT{C=V
z5Q%|dZ*2rGn^jfWKTW?L$2g4%v1vJO%&+%dfIhW1WW+Mex8^}d7Qa;4WbL?h>T^G6
z%G(QFpPowQC%4wG>j_|Dqc-uZF}J{>n!kE1&0U7F9lLXNXGYF$oT;^hhknm^$~G8T
zv?usIT`z+$U=M8dmy?_HOvIsOD`K@E9qqEl@lGZPO#&oJbP7?8994E}uLc{LHJC)8
zWw2VeZu{IBeUOOVY=upu0ts?-mO79UBQ~Gb_I-Wd$oU5UV!G&Q>TIFN6}wZI8~(jN
zQzL}?XWzUxkkYZlCplc|dXo1Vcynvp_h-RDD2Vs@J|CABS#Qw=6YkS3@YDnD$o)9@
zlU9)7&|V?SN5b0YxNQnX0-yVFLFKqvSc`U5DzEv$qt5V*&I=M6#0z(IIFP?Qd)~0s
zh`Zu0Yd%rwtk}wB4(Keo>eO+0;@}e5K7-Rx51={qnCdGV#VB&M2Kb6&!t5g$&(Ui0
z3NG3N5#!8NYxh#EH~iW=#6Op|@mFyi5~xYzoTE`@5tn;Hm~4qum6gEj=vfks&M(=d
zF<leB6{zBu3nIyJ2nyWdho=}V@(hizfeVV=he{u-v72l&Vg(rPXt`3ml^nSyb{>Q_
zq|9AFYK-Tdx`FHDUDs=gc%CA6{p35TwnBM$4U+eou;}M<3FZUH7P$BJ+jm8V7!%jC
zouLyEmn(sM*tLucnSQ;qj`uA)dAC#EDftJ2-{;`VV|rzW-IY4K-`)_rZ?Dt9=^rJx
zcU6xVJEEbOyKZzm!iTGgS=VsZXy}EG1v3d(hL{E52(aI1Qb>cxwmzaqV6E{M2FUay
zt1dI++Rq5{i}SI}a=n271-^_N=cG_vC$&87s_%>}JwVsPzQP(S)02Ucd?IPOfos#^
zIWPK)#L5OIg?o{(Ay%9Sycfb78j7DVU^9#-f5^_JKfbVO-$YaN)i~8G@W#CxP7-$y
zAU(`Yb`qYf57*uio_MGWqOfu+Zh7N|Rb30z%p8!irVkT%035U?akrd1m+>*P&fW{S
z{p%lary#i;Z0Rno%3T`k!y$B+cQ@kUmAR3QHPUl?8Xl9(^(R3t!s`c*a+Ky2p5s60
ziMjL+H=f+ma%ec=3lawpcLIb#vTb<L(K7{rL&Lyn`l)MljLUl@v#JL5%JDuwHbxyM
zpq9npT*J2>&ls(6pnrjgI*Q_a34}0q31lYPweAjlBMfJ)(_(p#AJf-S>YU$b2>STV
zQo=PvLsRMmJcPo$bw@c+al-B&2)Psn*wGhAo?`_5b&&I86>!<w6#a(y(<OmI$1C;+
z?Xp7jy7eDg_E#!(I=AJRJp2u5y)|Axrj$mQ{m@#gTt8RmEh)cDPr2*zpQ5(qa77kg
zMrOPAUffDTxR*zN!+*AU(*%6a{jz=t8s5(AO06ti@bFv9U8A+-mgcFPMce`At?%Qe
zL4qH<r_R$KhY&-SG5wu18$3;~lV(04D1XH&9|U~Q_Vie~rM0iyeP?6UvKyCMn;e$y
zT2fK<c=Od~5np!_qwElT&8w?ptoS%eje~%y5n@<L^!vPzTB&c3*_`+;<)&vnyzW-i
z<G!`C&}QS9I3Z-`eHt5pzs<19T3BYTc@;ll$ApT+TOtRhE1VUoOOLQnGZt^vJTLO9
z>+$#Q2^+^khb=7!=bNrwY%R8*ewOuh7Iv4?`<-XxNT4=)T*1446BXWlQZXiomeWZp
zLXPmN*x={o{qf}`N;crEDGFTq4KXEE5<blJmq}ULg}D!77;I)gBxbWCz?DvqQDL!z
zH7<%D8{sfqMOb#0>NsEYKP&G!IIQtRH}X(iPKK)Ma%i<C4^0$yP{oit$q|{0y1st-
z!Kue*-kXQ0FQ6tXgGI?P6I8pFZZWTXv80Eu+Ax)^oMjfVO#=&;_4@M+!t_t~j}f{i
zC&x=4-k!uH6bC6Se)niI6HeBWy5HE-n@#Jbm8w1MDm9-N5@_<Z7`V$#$?b7?bY$wG
zBl14Na)a{-Szgy8JpFv<^5WUr?#!FSvzG?iz8@wCo@SicVY?2z^=)nq$+hMyrzG7J
zsdw~}xfGmuF@H6w(X!=nxrP7Yk8%=m@++UaU=U}a!P?w%(ktDYIXme1GrZp<Q!r9P
za@!-cHbZ)@?ZGyF@+GmjvmS45O2Rb4Y{&BaIKK!9d?@KiJXuLPP2wJVDZsua3;i13
zLg}ri^gaXT$~KRScy9o(ue{T0y?>1-gC>a&pU{rHwX(d$KQ9}t?3^^^J}I;9)yq|A
zz;e?($4It98f3>=6HS*+b-kLJ6^ugL$<9jg)TP6EOW9%L$9=$UwclT^pnc@ZRhEax
z)Nb0(`4xg35xnJH7WJ<NT9a}jjgRm-t=WHA=hykFQnCR;NXygJde5q;`o0;QlhwrA
zyh9cy)>^2Imu_IA)8Q+OM7Nw9s3h*KS1nc0>(unmTLtrXHmCNBw-u%9+chrq#9WBF
z!>1=y>tXz*nWEEI9HMrtW;k>#(#>)XcFfp$`n%iohbtVA{9&;bpYX93?S^6Djt!Jm
z?BTj>jR#d4QA%~f^tEGyr0NU3TZugnVxMeLIMP&!<?rMaWpZi`oj+mU+*E{WyIU(l
zj%jKzN4<CLm3V8&_z*PtYD@0PS&maiMn(g*l(~wvi|J>gu9{hN_;mCyP6s_49bx-b
z)%&bkU|iKsr?jG5rgZSN`^LoKYe5k{l}7zV!eiCze&yT5;4?{vq`L+1bwLbQ$-2Q!
zuhKIdxNXte;E&{-@qn}ds{Lk4eC|W1Bhrj#TKj|^Wvt{hV2_YRidtje8oE@V=M#-N
zmoy)soqJ3Zr+i2ick<nW2KeaiDW08I27~=iW9Nb@@R@-s<nIM_naEdz-Y|B0Sr%1+
zFWz27<}Ss8eH6_(8!W$4@mN}}<pQsBb+71pr_<*?zWp)vs`=CPt4YL>!IgP!t4cQ`
z-s*&pQtNve%cMNJK(kd5+7aT#JVl))b`r~7x42FF<(o}s^92G1`fcWej@jiEyziRY
zaxYq_u|&VwD9U%LRa)7OVkL~F*c^88eJ`2<_hFcN47>GX$D4~HEt0gl)I`W_pTp}Z
zca^Rxov+l^QBS;cg!LzXtx0d~d2%t4`<>OCC6V~!+_?u@?(!UuDVS_P1gLUZ^pkHv
zni+agAUE)N&d|D&qk!?4CEEEa>ZWfwMHTUtK1sjNLk_TW1C(xv&-IC)eVBRoMs%%2
z#*%d(EK}wrA@Qj*a)o2uU|&fx-lb=(nOP}qOCxG3$yPY;z~spQToIiMCm6v~yWq(o
z;CgQiV)9-Odj5}<{M>PiiB9rssx1$F7@J9ZJm=B|Hzncbm`UJL_%u%F#keQ{XB{BM
zze5r#&y@!lQtprt-~%s$i}HA=5Cl*L*775&><}$4m%ipibwSpR4+Wt_gx_RZw@ZYU
z7_ncwe^>es*Cgqf-k7~t#KBHokQ+MYOFTw-mq%CnTKKUSx;lnpdKL!{u#3Y747z^$
z2yq}Q>#}N2s*pZ%u)cbYxu>?V#0_25LgGubf_{CxVTP>Cz&N=I@LvY0f8j#nEz-B%
zjeBW%8L|of`YEx_5^i>z*|3EV&@~3Te9d->>iEGe!hVhBH(2(pjeg#E%6P=oZ-Q~D
z1KkT{Tx&{J9(A6Fbv>}4UI_x$w0gWaGd$9$_^Il<d0qX1mmp>FqIw3W75Rkc8*(wD
zvYyuB&OH+bH12iIgPDFg!wQ7gh4CV2jeEYd2z!7^WY?`9cqCf{qkcnlpGz<M%PyO|
zmZ)`>+iF5csCj9*9^Uwr$MRfO%T=nWC&`=1ekV&#XinZCZUJyndYUe^2mqX^P;=51
zC3imh)XUQ&%lcJsmW^5g3_aae0~m!vH58XM0r}3V`pYcQmv1NDE8N}AVSP(|Kb$HQ
z8UO9Z(6UjBI)5s=<!yy{NeAr5^i4bXlw*wR3uzIVNc5T^T-qz`4;s~54XrD7AQ$P9
zJ>EFyY(+OQLJ}vkXw!sLas@;C4;-xr@eX!>;i#09h%{=F6UVHp=QpqAa=2Zw*p7~E
zMU0&RE(|(^ja$Vh8x8$?KWjD7M1TV!7JTJW{CZqwhr4?RJ*z`i1DNK;l0Y}0pgFry
zLo*LsHIabhSM8#2FbZeHqzt77-du17G=tmu?^PNKes+3cVuM5({+;hRu6)XE)w~Si
zr0KJLF%Fjv;3@Q3e9dg1b^RKP_${TY%DF>Ebw3PrGqX6gCell9D2BiKocs0bypET_
zP=rIJ(v!^`=a@2xXp-l=UcK4-a|-Y$En56>Ws+R2Izs8Nh{8|lrEglrr+CggD=zD?
zTU-~bm6+?kD4CoBSMRHeq_5IuQ}U!*-5vgT)xIi~ko{6CkxIMV`*nURyGUQIhjx{Z
z99E3({ca%=Z}$n{oTUW9E=+AwET+=YtH2{w@0Nlbu*5`+sPU467RLZ6J)pPq*rymD
zXfjDgedYsXPCk9;36e$2>e1?VjAF2KoWIOOY|K&^Pr2ui@yE?C15CNo5cu+PRH}((
zvXO-BHT%BcIeBW=ooIQ_7G(}%tn6@Hv$p>;n7Piw%(`!e)3?2|m$q}i`(%ejoK-Ws
zHN3H3bxx`ue;iz0JX*xj{t<D<`Ok8TaYp#Q2Aqz1{Mij_@jKWwX@*jFP}dXs><vZT
z?@YrO>#Lf1_`E*X)A)5ABSS5L^n}Wcd`?!39}ZAsO^3W|lw(`myPN5fDF7)0U~77g
zO1E9?d?aiSx=-Ry76w~pI^!SI+WQS86WWEXf`Ulx868=S?Iy)i?WcqnnPk=t@yST<
z;wa@;59nPO=v$eIM$ZrLdI)|PS+=%VnCx2_`S+W`qZYG@GSt*y=Lx<74~#<)FfQY+
zq!MaQ`iInrj-!TD7?(UQ#>&F21`QuHTs{<k<m*2C`yI1mQ#xkqj^3mBhmPpYqY|4J
z1NQ0ei4Rr+p=4v6VWlatkFR5jLdR-k8*NX%oQ*drtG#vm>G@8F8A9Q;m9}~hc0b@0
zIi6U}f9e+}DjWAs^X>7V2%CCOws-Tfu4{K*n}@yh44$trnsuw3)0Rn1@b0m#DXwk$
zVS6k4HHfChz71}*JyFuTA<3?`)M-)Ha|-EJyqLOUWwCtJ*x*{U)z*XVLJOl5{qDPR
z-z7hleF#X=7P*y>YM-Cy_-?5!#f$Axp#b%hkbyOcZMzsxW1~vk6eHTm)C)<j3Z;_t
zCC_eMBw^(tw+~G`LdC5bF93^ZV+qJ0?o(A5ot}O6;%D94XB(u0)7YJlH*rd=Njxy3
z%e8lpN;V!}QnjqG;pADD_(TkVJtsKX9rm-b>V_{~njR3gcaRx&YqB?|ouJG_+@fPP
z1+a(O^7`j7K~vo|@2WA4+-JWYSx$8nCY4gQ1aV!Zx6cZqN+;f`1o-;f+uPzmB-eDU
zikI^k@neOjR}Q<O%+tVPG52w=#i;A$Sn3&aq$#OzMkzXh|H-7A+$-!!j|&g@>ezVs
zn)q<5eJ=Tx-0!?oK0F_1IM>Mk7_V9m#~uLWNa@OU2dsD(<&IaqPaV5jbf0s|1_vv7
z;pQ`8oJ90j!sFELbj_c<^SmTFnfWyR%v5C7{`=pq`w*H<zjVEv)^A>|mqr!<BH7#6
z57RXs6R+A&SC_<e-+h|tebM0r_oVZ~W!vYTD~`IPK(^5*?<z=T^h+R%sbB2?E_ue_
z9`7d6tLul$rJqIHK&?pUcy`P6+hV>I$YJJrx083g2CGZQ%2eMOm$FBfJ*eUQPC)4t
zzJ5L=8ax-;EHqt(-5=cI|G<`+9EpgKvkG7jQ1_0I^F3*=NNovicJG==HhHw2UKOmw
z!F#5}A0XGzbti_)PxgS;ycJt;p!d|WlysKT)riFfr#}WXCx>+8d!5E@5S?7@J}`;}
zx1y@97v{`c`s8?ST_u#>cZ{)Hs=!-&cEO0J3B_clP0Jc#uSR`;Gal9a-avcm#d#s<
z%5Yh}XmO6KTjn=mLRnc{Y22QB`-=r{)-BpV^E(TQ4S%-c_k+w*V87`513yX`zaceT
zkFDhL$0RP2|ALRQS3kxY8aJE)=n$U43IIdp7*PK9{=@=`3fI2XeD_tKcj(zAW8j~s
z8jL_hV?WrVhh`}<&FoOqh%lVqWqndyI~#gj3s^l!==ly5mt|S?mHsmDe>aNHFgVuI
zc5MS_Nqi3x9@L^=i_ZDEZ|)oIEFn7ncmUV0ik|7of|gk~^aU?;q?&t080-e=ziK%F
z|Jjjhdhgxh&kl@}%aGp0JNi!(tCie3ylCW;aA)|_l&UC<bhv$gMwzU_7TkH4!j28j
zyll`a-s<Yk4FeR>N*zYy?~Y+uMD`>$*-xZzn0xiabQMAT53s=>lbpbJ{rDk6N5Bf<
z1y1&5Lr0zc8L1rsA<ViH*qwvG$Ise)$Bf@jAa(BjAI#Abjb4ybb)>{#sSUdxJe5Rc
zJ{+EFRcDK(70E86p=-d5=WByLO)z8bRy&mH5-bj&ohMq>68~H-e#L{KZVPtSKVLkY
zCS>?&fNYxvs&{s<>5g2h-E<2^{E?{|mlk=&c`ekUyVngLPc4eOUxpc=vR>C3M*@m^
z$(V+e8i|AEfB~21AjgP)E#{u5)_J{A6^y+~M>=wU_IYhfPfDl8l6Z^G4WGIFpe|gC
z*+Gt0mliQsTZw0uvJnQ;aTrz|f#C%C8Z9MK*wxn;Mc5;3$hq5QVb|`TH7Dm%YXyD*
zXM~KuxPp%At(7<&eB1@Sb>y$!>nS14?_ZozaS~`DfV~XZHSp(J#NkZp#c^uSIBTFL
z4>KU%#g^nlKCw_3#XEA>9JXe(31HTq7&Z_wG*8++A*RXU49&7&JBpcF{bR)B!>7Bt
z9#vj_owgUI%o=j!&Dc33`@va*L;-oBL_P(s>%ytYwGt`=;X&f3-hP=DSqEolW$xDv
z+*$R^hIP&h{H9_x>UQuwX9~nlHLeas@8oL0qLsZR_q-6DJCw}DO}W%{Bd{Ue9>-xQ
zi-x)rmD$cq&&hWw!ZSK<O^b}^eiBUvT=JxMJK;0%MY0_4R%S@0H07F?sl<4yfZ&|v
znaRPttr_|$neFiPx73o(Lbd)9ufu@H3$66D^kP(*%H{FbZ4H6}j9SaeGxKWV=w^Vi
zcJYOnUFHA4i^~7Pi)sr}`l%Q0fhSie<7y6Wd&El^B;8Z*X!Fx`!~pp(ZGyA@u}{sv
zDAC5-niKJz-fUA2QrlS`Te>rSy|LJ_w^#8-WpcsVKCeLj_H7rsbYQUCC2yBJ4IARm
z3aty0Z{x>WKklHEZ+G2d@D++!m?4zH8C*@z(Z7x$CJ~Lb!t-!MTF^{G>afJVSsMj1
zYWyy``P9T3Y(fW6ZpNX1{Q3Xd=37{6?FNtbIV}k#3xi-max5d12Nnk`1W0ng_%V>+
zGbOee9gQe7VR&z67I_7l@y}}46ON$U|CCoJdyZea01pTQU;{Rx-II$}qP8!^IM?uP
z7d>YP`Mp3-bKd7{M@OFvR9*#dNV4izkaa9}HD?pE+pcMdk@z7L2#<K;Jq})(a{*ZD
zBsy9pP-zuL-y@Aa$$;0ET;Ay&e)MZb7IQgbmb0F4lnEqUi`?xKoTj`AU|O<j8+{GY
z7+cT|dYEB&yx-NNq4x?HV}j6wfYcy1a%Xrw_NXI6y%(`NEVVxshClGipmbn<HPy!+
z#qNYzGcMDRBP)e89mF)J=MLv;)*tEp(!THzS67q(8Up6QWYs1h*yLa#auoW9=x8uA
z&4tneo3Zmhn3X<x;DU0mdN9ln{B&xR0e%vKte!-yv3-Pv>^Ayd8;m04b2E{z<v|Bc
zZWW4M-;YIvlSwTry$$V$0Nu59Fm}Rx^R0kaam|5W)AwAli+dT?!3WBNMI&`Zl0LFa
z9-&xR2_-p>-Sen6_hwHlMacJ&)H{Emt01$Ra^oY1Y0mPofu>$>o6`;M?!9+ON%QE+
zTeU|uKQg0Md7FD8wojzj2)KTgrk1z)N@OWs-zx90p009ADug&h(2u}wK}&y<B5q0X
z;WEsahtSTBvFv`Gj2htP)A6V(WI`2{NKZFX0aQ7Z?eN_<epcRMmTwpDp<k03x52Ff
z-9XrQ7N3;;YWmHHj&03gs&&rI(c)*A-g;`@5*+pTk#3S>Qk0tZ#7+L5PoBlDzDiG~
z`=y=T*3JQ5IgOiY&Umq8SLg}c<f{VG8d9_7$dVmL_2p6Sm8DeaO&k3$Y9~L$l~(xN
zyi;jC>6yN-sEr6*r)8efbUi25dD9V#sz(K-NzQiZzL#W$Cn}3y`I6j=)ovUx$EpmX
zv-23?4?M4(6uN;Uj1^L_CS?7su$7S~8=R1Soew|J&V$wiu1ppz+_o2LKjPn!TSjBU
zEmgB4$EcqQuOCdaRlT${?N`2|Q<(Nv6*V=S9o?7r(3^XBD`01CWbA%zrTK?W+DqEq
zfS9D!5`#_<=k{hI>6kta?ZQV1WZay<gScAu+KXh1vF!!~Z*|47xmv;Qu%SzqDqL94
z2NQk0KN_N_=DPXmd!oA27H`+;+iUZf$-MRmpi{AW<hHGZ&T6Zb_XSIiFO84>9D3+`
zAwAj^cF&rT*jKU0Gb$)^rN^Oj+1=qOn3sztvo8kE6kJ%S6RAqYkbhzfzkGOjhqa&>
zHA10Azq(ksv`K2}#Mmuzz0p_^d9W2>Og3^W#Ognqj8Xfxuz#lOz9hb!o(qB{>-nLb
zs0x2oMxuk1(6`}!tCl;w*DX{fC%!NeNDbTBYd@5Sya^+n?ZQz7RT~vQ{lV=U8*$N=
zi~L^Zx!iLc_uAR1G_4yYdCWV#+AAKw&3Qur#@m!{t%l8aJ^K7?nehn&N1KMkx}_l0
z%t&LrT(`x3qr&B&yS0m^iAtm#)C0nJP|!H%fO%c|iB&7BpFeHYB7?@JNYWlE?@sG7
zQON}@G7}ylw3BcAWHd=j%Q6lfWm;9~53?GlgmbypvNa*27N@@b!hiSmm=%-}Fs(&N
zVjcV}z{E?Z2@(gazvJd$gPZ|p^X{GwNRGTMZ9G(vW<HVgsM_XjpjAnibdl6q6_Zl|
z`XC?dg<GSs{yX}<(E1iw{{zL;qUGNZ7DPMuMSQ|t0<L#1$Qd8po_?6L7zoQz1Th~$
z{BCC`SFGUyZHLOza5R?{k9w3Un|gb(dzqn<l!+^kZ;5tkt{|6YV7cyQc6<b3VL-rU
zkO8CBIm|soUk6Zas4!U8<tvV6RgpM#!S6-rhaG>~&P->-%KE8~ZyRRdQ==Al&K$`K
zwk1p^{c<#O#}{|fmW(YKM+B<%bC?04hNi>Q!eX|IfyOzU6j#ZIciWVY;s3CHFE>WU
za?isyH^o3EC*JG5(c!dfls0-0*q7h%H_Y3`c9HujTRdbaoo7<Hj5Vsm<UwTA^vfjp
z(-39sk%<M01>L{UA(ZGk@|}*)oUPDpjzNg5_C<VeWC?z5HSDVIlr$NO%_uZZTuPx4
znR{XqhQ36tTW=|`%?w0$eeu+>O#9LhT8U@l;-0gf#yGqe^~2##cT{1|-S8ImG#nzz
zdxK0()0h^6p?H13=H;I*p?~!uQ5;?b+>D%JkoZ_v!_X5aNKVQ7Gs+D6ZUnmwEt|&A
z>Ts}MYjSYwdY#P*z>4*CK{9D(7;_$TfraOAX$oL~J{FM@Q(xf_?+xd-WV5f!LuM7j
ztIZGddqkDc^I&vO<0-Sj&+ei+?RSz#4-`)ve4KLQPSn#Q;<3WDEcP*-%*vYyXj4*8
zwOc>qsi=5{Sp>Phhojn5J)@mTQ`BW%T?oH&_h|>sly~aK`Eu2;<2}#aQK2hrk(`gc
zrz&3@D!-ribR4mKa(>6+ZFwlYfTi`hiho)G_QJE|hmi~4d*!GetkY1DN0j`;9PW)J
ztm9~jxXQ%~-e-_}{W+xB)4gL}l4={3Ev}qwC_j+>`c4~t)kx?_k4Dp$TO;~samT}n
zpX+MxcMr>`0!q6MrRV)h%m>7@0H9Y3G=uG%hiz~GkXI`{9qSq75W8Mn!v{am1N>2p
zcLAYy9XOTE0A>{dmxK0;6AW_Rv`zgy6rC3ItGR`@(0okF1-8Tb6FmZ*TnR28f`5+(
zuI5>3z5)%V;MC0$#`6{4R1q!+i(Qxx1;1qY>Hn#=iN0$5+Lxyyi#ETkWeRVUD+-j%
z4-3n&Mvt&!0woL3?Mk4ntk=F07JnWwfqN7p$X7N&?dJw#spDzCA^V<|MFB>F-KM>y
zC$=_ryYzj?sKpNS-Qq?YEertET8WXB2-g{g{WffyctHPSfIk9&3uou_((AFbQ<#si
zHO@a{SL5mKWmt=W0%t1Y{&|Ss$j}AG?%MDh()9Q@WSgj}BAH)ds5A=Ffs316@}89`
zuibEp@Il@1Ls$wU`YU(=ZFA@tJF*H{!Ny>^)*>|dk2pp0yexCR@VC!r@Aeh_MP=)Z
zQ+H0Re!1x@WFM<=yNsEuvt^n>Wvi}8_j^!AS8O()`l2P!EKV#0&YL_our;nJlwZb*
zK5uK-Q?>kTSSq}Mf-~*U7fo?Wzg8u0Ci@+BAN8V5jyBl9`^|6RTcN+*LI1$S*iYYF
zj5!}ixk_FftU#47$hg{B>M;qI1+Ffzy1;X4PG&I6&0(4SK^D>)pfBrqR9#fVJla#n
znli4quyp&zo34zD)Ssi0GvdbM=gGaH>79wzwFS3|7O+1%X)iXdr7WScsVZ~I(x{+W
zJh`MR%psu`DV_0><Q#ELeD0n`Zs>M#)3x-RO#u&wOMcno7(+R1d#CK(;NS%3p3Gqh
zm2de6CM#(!LqyH0=*Ezmrub!DaOrD)%Z+<GT)O!Asz4r48rS7X*z10Za9Wc1^h?rA
z9pocxtKrL#gJGCjWa0Q<T*)g)Urx)%3ZhBgkQ7n&h<mPKK?)aH45Q6%gRI^fd3AXl
zKjP98s2*f;By1SgnmLr7=-y1c4KuA)yB3|he%j}kXFI2tsq+WR*w>eb<3Cstgum2^
zrjoa90FZxGWCeTTLXN!ZhO(+9xK|v5CvSW$81=IIWG_*5!~ellm2OZo1JTqS9cW|u
zZon+wHoE*omcpzS67_CW#tJo%7;(3P@bL-f?SxQsPOf>x23PfO2%&``_sWIn@T=2(
zNpeZ-m1?y8_>jwkZV$xrIy#z-hyhys<iZg;!(+AJjmGhg1qt*iYS>HFXk)V8CYEvl
z^lW4rpvT>hZvY8`K7mRbnYbAwu|KQNjG?)GVk*|rf^l>Rg;?YI1l#H-G$t{QF5W$a
zb_FKSKP8*t4mp1wWjh<dKSQkQP?<|YZ|@KqL&t|uj7JrJ{{NsvT9Ke0uxqZJJpO*c
z70V5BJ~{mTDV}k(1-$qN{;lr^5vHeBtiQwaGYpKzbiBm{IPqLx26_j1G6`%SR)w59
z5&u5?H8a+J_tD)-|NQ37=>97eIAP`0yxo6f^g>U33rctq)U4>(*R3W6cBNmEz`BA?
z0Vw)^KcUWq{O#u`7`O?!*b=eM^{I*O<FN`9T931KcN}~_h-n65Pl@V?aRHSk2GxBR
zYQ)k+l-lSlKx?xrc-Tq;m>}q<zY~-+9NH7>_-{X9T=T*Vhrcq4BNyLv=g9L5E|Dkq
z+!2S?Jdv5QyLZ3o-F(XHqMy~I>SFqggP|6Sv|>iE_Xpj(CQSN05sGgis^Ws;rvOtS
z#Kfg#FNMTBKyaGx0{hQn?3J_J<CO0YgsDHG1Ux3$A1n;&vOQ9Y*xA0+D-)=gZ{>RN
z7_W5UPbH--xupRQBAU&wW-n#z;|e2Jd--;GWXsd*OMRn7sD=B1jfrP$zvP#dBNSRc
z%x%2)B9g*V#Zdh=*@@*t*)Ip3ZeHNDyey(ZjvpJH9q%WsFcBItf!Zrn#?!Ba6&6Bc
zZ6x*bL14h*8TLCMhnV>RSfTcVQ)P(OemjTrXrS8i_*eAqb6`Qi!g1*4K^X?5f=ptx
zfB6k*BW}lZ|EJ6gZW?KssNxqswt`r@s0+>!DF%FOTqeARX7#5~=f8!XyhXRY{tX!g
zm&#L88}50=&uWFhMlXDqK;APlp%bXNLVmD%H=Oa)iiQLiZ+rC2IJJHoyFQI3?*)3R
zNZ%UKvE4IDbA@`G{K1aK<guEy+r1oy)89cQZ9U~-1j|%QnKJ_0z$t{?Ib32cf8aeJ
zW9O^~&OWl%BfBjbDgkHwrQx$l;F14n>bq^{e~P)ch`O4O!ypn9L^CY){-1^rkWDa$
z*><!&;3M_&f!~m+aq2hv42^<iFd^22rHJx!^0d>o;C}ih+vA_!aYBS@&!qg{hMK5t
zJDUjF9`vLJM*ix^N?afU6nXpKBA^E0tADzx{m+OH4}U|{z(E&cOnX*g=D{Vi+YW3U
z4$@NXiktIrAVLhwWq?>D5*o4pltF`c4QmdLF%iZUk&oHkPkR}#nDjHrzafK>=x8z8
zX(1-W-x>@Va6;+1e1@$|HL~lULShU}ug^HCh!1khkR$);j}bo*-SYVA6>wt*mB=g}
zk_1d#k;@1Fr`R12z2OyC$D1*;t<7h<b6&J*UgMkoFbJ5+9nEGMw(mQpJ$KMR7?gQ3
zl*vR7-z>v7ey$x0rL*XX@j1uWIYQy>0T!ZS@OrcCpH3-jXLt>aRH+9Z;Nm+fHHjkK
z^QfKE51XFJXyp{m@u0r6C^xG;#<Wf+6~dk6cIth75jP%RJ(W>@DJp&AW9G{jj(MD<
z2w8RhDxqqMaupoqi4r?{iOva<29^(+uS|U&D&Oi#e_zzgyjrAuoU~Ew$cb?{*F}F>
zn$;l};P0*Q)?T73Np&FDV2(Hvt~(vDT*r;$u?1>WY~%t^qskSjAJg=pmssrxZzI-)
z=S&$7gTSlAQ9b161y&+qd7zWMH@xa#<Op@E?CW&M!z`*(F^wAg6KtDm*@QF(Y|{JD
zME%f`40`!VPEdY*7MKL|@<6XJ$XUwh&j+(U0V?LqE1p4z?+Bu7{Lm`KU@Zjq#4p+c
z-}dxv?Dirm9zSdR|JRFk1wJn{8c<G;lx3$Bb2>8A{!}f2(Ne_IODq^cO-tx$n7Lgm
zH~?RC3lsyXv<0+Lw@MEdGBW~((IW?~Gl&uj|9uwmR%Qm>+dRkU9$Vg74%qDmMtb8g
zy4Ti`PAsx2l!6V)p=W*u10c4kNn57u2;Qt|zvn46js9sFx#)jV<vZBb1EstaGh-Jq
zg!Lta7l3&;uGDriYPHRzOOJcW4TC3<pW4wgWi#}ZvLB|}TSU8^ZCE8ZCxcAUvfw!r
z=~B*}MIeGeDb|@wi*mblPle)J5Q`E2)=0@@IMV}TGHhJz)(4guWJ}|+UqRVmyRYT0
zOigVUXY~C?u5V?g!GLBNy>DW7b`AQ0QYWk0*BMp2rKV*yVS`+M$K&|lI&EhD)D-3o
zv{t*~8bc-Rd30X?zw)=cY6rH{;uoEOgd5CIFM9h+=abg(VH9Ea*$nS2s>8oa0R7LS
zT|qgQnkZE80P?GMM%WK9t6zF0wG8D_yN$`7RP0XVT;vXR6J%>5938N{(lJ}U5L3_k
z(8x+?II%@J$)V|Vx|gAt*l@)9d%wB9#x(8Bev#X?+L~w1W!7|P^5HT+vN!q8>uO3X
zWbDPkaU^FrMCeR_q1KFX&{pqJ_2KvLxtOx}-ds%UJQne?MC;vZa9N`qKpPY!dQ7G#
z*2Zj}!N4>VS<AOJ(P{K)7y#>$OIj5)k*Z$$-X+5FEFPTG;G%I-xtK~poeI^icw0M2
z?F+JvU6ZNgpCDENWodF+FP#oY1Bl?w=&Ax|Z}tZzv*}n5i=C0-`ne4>IR1C9BNdjr
z8EF1KYFAiHBkmsBvjyoJ;Ss7eb~ESz&ioDleS~k2ODt8rciRIH<Z+2*6aQ`@x%lP`
z(?y_)R{l@xIYj?9`re|F-w+!^8JY-Y_X8T#_*S`NaUQKqZQArl0OW&0f4Nxz?mkAl
zL*<P0E~e}sf>B*jqG6ce;o@~dP2}G`f{pHRj)e-)@mPZwt5X{wi_eI)qkjiP>Cmpo
zr!6nTx_^N)j{2eyoIJMR_|cHWQpreQm+xK$LINKsC`q{UKLg_V=V7oY_iGjZ`!HL?
zW}=F#g)n0P^BqSM|0DPX^k2bOt_GL-&n4MyZ;$}i6f9E);Ly#O++&)V^rv|TN)2q%
z?!KIHq+ERO)jwU!vzfE-U91|PzS%~H-*<fvzxu6ES5gsC{jnp5&5tM(cRSYKU|nCm
zAX?oUpBd|aOYm1#E^gj{rR7ZJ^}T{PU+4oI?(>El+k{b0PCpTuJ5ZNj$NMEEl=@j!
zo&#mY;7QCq?&scx9t7G8{xy{jJB0bk?{B}hUM&ksv3um)Ge#~}syDwnJ1&^?06X64
zoL|wjPk?b}(2hzTnJ_@`k0RD(tT?GIBNMh37&gn6ds~)-sgVhp^^1Xy>8kU;A(KFk
z!rh3m-K*-Q%?dirV-*ihp>B77vd<ucAy4j2^v$Y4YzBY@gGEOXejs`eEi=&n79@=M
z405C&F9QoNngI`=xXTB8AN+e6RFBnSNt{XtqxcSCeR(x$CzkHnhM4&cVd%rwR4o`h
z*02p3uqH<u{{V5Dd+7EWkee4RKtp|N_0;@7?HynLZ+o1LpU@PZLc;O{P*exHh9lNw
z1}5lRyTTdXFl7`^jr?gXlI{t%-+!CCO1m4zcrx#?D-)eyIV-RpKmF6#cP1SEKc&Jc
z6X|GxaA>a(lm5jt=}&>^=6`yHB&>Wo3E)I<A2{c=cAI;z-@ZG#zwO1+@BepnCV{BG
z%`Fld!&Zwp7((TL#3MKL5D!J?@A%TFG`pSu(-@W}oeTMo<gyq%SND33{q3;rP2fKS
zi0;;wcecsjX+*}y8SMIR@UTeiju1{wPK%QkB1KpRP4J^>(#`6imf*kgKhv`JU-_e_
z%_h!nqJL=r5&u=1`>x=2#qY)dd&hD(kd7S{bhkQ3G2`lQNPfQu=;IxRJ)_c@uyF+V
zCO6SyE$m{>XNUwMTm;@rH&J>|jxRr>R78FudY-Cx$&qy1HxRb6Y+Z>fDo`^F{nBz3
zZ|Egmw7jlxzFIfM37U3X(`S5J?;E3BZ+s0YK2LgN+*1=jeJSF+mPE(_2~Us{7J_v(
zm?@JIfdFgZx|RZNk3*Q23vN%SI@AZG;WE_}MH-Wm_s7TUQ_TJOef1zlKh2zypb3x~
ze^MwBY64-~6Cq0!HH7evCz!<`l@34*OpL^rHBWGUiI8pC6LQED!y<L=a4H6I;G8%d
zazH}D1(F3XeQW~Rk7wT@IfN*i?3oVHg(q+*V<4Ui(3Fq3mXpvBo5lowHyKNa&%=4G
zhq%mSR+s5V66e(qVwg=ME{QYsXDMcr!UjU1801|O<oPyBh;_Vv{JbtHYPBcs;3tg9
zePqTYDayZ-N%vF~=6t9j9JtI3b@89q+1pkl_=_k$oy;O7Dod0)cfbhgf@30uwTM|-
zLc~AAP1RY&g(JkXnbe`qd*XLUOntb_P>MMOBvej)h{G|3s#_YBGLudAFrbbR?99B`
zOkk@qn^?<?V-?RJakxO>oc@-25ZjH9IA~2?hz|}wCn52SMOuPITp^G5Y1}3r&LIvV
ziYV_6qh@v}ml<lZhXYv;{dP|wg9Vo%gcOH}oqCy8ha*Cuj}pA`6Bvk*3-E`^U=}L%
z%^Hp=1sAc*5FS3bnNtKrIYJx{G1+5AG7AxhWX4WuLm@CcUxt^iI#Z(yu2HG;3FHJm
zYgPje$-;|zc9~*9-gZvggpXN;g5nUU@1H-P=QW|`kgd#kJ~%F*;~vz^pLClv9mgUl
zo^{-0kBL92BWhKBe~Wk)Z^i)#yHHxLT4^}`926tL2LFg-N)O7#wZR|c+=H5eqj`_1
z{-VaL`hJbf5ZU1nXwZ30SZmyL2zSiW2yrGQ(yFfZgaOM2(7#4ls*6g<Mp&LxZfEvC
zV5*BTF@(q%l?F-3w(yOI9AL8)XNE!uh49Wi_7g`#F_s&#$7io!$L_CYddO1hX=5WW
zqIS(1o^soyQgwyh`otuTicX7BA}6=!>7`g~y_~YOT>$%OdAbM2i0-250wMug>vU-@
zEh11z>1%v*W-?@6OS~>K<ba*4266AY`a#`+DAIJuu{k7CwyjV+gBfbtHl~Y#u<VJ4
zmxd^AX2JbU4fe#B$+(Jxl3wa?eu!;?5X;3RJcJJqB_TB-(yYjR(`gtz$a&2@Q4A>L
zX;ixl@dV_)5@{yFz*9$@2^nA_4*#rd<`l1xfl-%&GV6B<Awyng0HrH4Ulz193<FVD
z>deiEGTFm#sV4z(2qQ%(bu!87N15uUn(Xn$DK=SJUM7V=&1QyE=Jkg|I7&+socDzA
z)bK*hZcm3CB2C9DWPzD}p@Y=Gsft6E^>s0p5Q&U+Bhh%lUywboBG_smkd6pFYm+?@
zm-W*n_Gj#EgC^iib(qx>D(i5}!!aA3OkVn*;KPhk^N$>@65^S0EYQ~(n_yw8`gefJ
zm@+y@ajD}W(13O$O)+<*ClMlFBLxkHL%?F3PKbaoWfh7DvO~mq@lEh{KRl458OaIk
zG{FfWoQ=u*G)0u+3r`$iIRVd(V<Wx7D3PX<Sv~c2^%R!XS$H!#)c2{CmcHJ^Gp<6w
zW>V@D!UKPu8P&cgObaPKtA3F55+vv2oenvggg==9W}vI|b(X3NQ-GN_t`!OPl`_8Z
z_(F(ymTyl4f*+#9FP<543`&TGVxu8ad#N278O&vZ60%^^W5KB$u!OWg#9TG>{4zs0
z66V|u`7+pokmrZv<$eW2It!&4Fh9z8fZtU50EzXfmUZ&i*BU3b#!GY9%&ha<RxA`&
z{SqJNEb`aBw<ALn(B^H*9X;_XW|ZsNw@OQYm||`ztm`ObkzR!yHX|{&NI?W=(fkJO
z50};V`I~l`bwofe69ti;>0P%DfdBY1)^)+_(xL5dseWSCHVfSDcTRy&1;hves5m2S
z?MOA3n<fyf!N<`AfB~|&tB`?Qs)(z855uXgoQzroUEXBv$GZMNgk-`tGyDPEEaH}+
z%c+FmtF>L9J@nY1I8*g~F0JCH;!O6$Yu%IBH=R@lfskS?cb5Xco{xCOUObM-1`n}R
z+QQ*ypr4Hr_!0c)(@R6tUGPNSjJ++;Qio*L^TT19ycx`R(D7LvamaDActcg>myiPn
zPOpF$D<VyB)>EB@FRN@%BqU@L*CGK;#_d@jj$zpoWzOVJa*B%r+tJBZ39ksf-K`Ff
z19L8cV@+t^V<O%vA*;@T1MdP;R)nRorMj58rW9`m<i2<lUaSa-3^CQnf`%B7%*IRM
z?1E*Bu5Cs!S0nWEu8TZW`*nKM31ei`{QT=B>HGbBbO}_unk0>@SM7-0>uyVltg2?+
zlZt%MktYb2&E?4GhxC^Y(Ndn3*$Ql`PdqmLhkN_(*Sa^orWb}%u)XvTTZon*`HJa#
zf)bwO>rIg~sen<!QCpYZ(S!LGeN+B0ygy6t!eY_Qz;ng|ZQgF&n3d;`4UCgD6quox
zIj_6xohSRQNtZi^)i);0b?IJ3YExSlJ<PuXQ@MoD2C2b9xqX8u`l`J8{Ai6w<53-q
zQJP#|6t}PDjtNtI{Ee7H_b&+X>9WmV9VeNgwC?biPRScxFw*z#wnK&B8<AP_`m{Mi
zO`K>F9{vIYVfF8b*pPWT!mMJkdU+dT_`*v4o_qF=`O0Ro7I1`h@Zjr1P6q@;Dt`_6
zekn?$h;rkQ;SI0O>;W}ju7;aN2P(Q(d6OH1QU-e~e(a3EvoN2Ee#sB>cZ+qFN&1$3
zdQx6}|Im@E7uftqk;Ju{wv5MFW@qmC8s}2<)LrH^F6XiH6@`BeKJ*D(1fDN!C`%kw
zPI-B$H0{g;kD@ryri8!S{!;4OZl9=Yg9|TOJ0cd<Bm!l+YN6!EE|i4#hMrT;<uyB5
zKh_f!I};@o3~y$h>%-irGA+Jj-Ttx)^_Hmx`g#MOtE4$^xU8=UVJ?&sRh-pV-><JD
zE(V1J!*Mh7x;=3uCXI|T5vg;BR<+Pyv!D(kJiZ{r&XP?Ja!sw2^bmi%-35Y!CGz6u
z)gjYSs{kWlAP9a|9b6mKDFn)YUdwM*6T+7TH}g_IsBbviBJBccgB~HWhN`o<`<wBb
zw}8DfGeQqyhSWTPhkm|1t0^rZ{tnV2?Fp=b!KEPz(4U>LmImMyo~haEr4?Ypgt4A}
z85#kR#mMUGXhQb3iwi1d!1N&I+U9x^5+RPzM@iuRv4?a_%TrgKRWS?tF*D>a$?V0l
zI*u9D87zSQDo2h5IvsHLps1pLwD>#MUlSWEZt&{62{81p&7uPNRW;)^=g3raRq<*k
z2+n(<(t_01)6nD8n^Mh~*N@soXrGl$mo-Ho%=5ZNt?Ys>Ol*2eW<V0)J!b{`-RsOS
zoxP$-8#pLG#I&<eLJ^0Xjtr@6@n=Ljj6j2r4*a^#a(k5{)bnh+r8B$d-sH19-JyKM
zhmd@3{=}X{Z@|3O@T&JnYQc+(J#6z<X1N(77pnYaTbk_eJb!GXc)yhsBjX)(z1Hv|
zHqUjYo}XA)Uw<(%;CSx6=ANZ}h(v8*3S(p|&GtIZGozpQl#i6M#Y(-o(MV8c;r%&!
zp4Oa$9pGuoDf%QsUm=WHe80Sd{Ym&Sv-LU?Xy{CU8gL5eP>*YGaez}^eV#xC%Aqms
zEmoX1Eo=!~vFkydSzBSNqu{2#K-dOq-X{vd?X}>do3Q}25#Xb;3B!3CUB_lF3ocmy
zsZgigTexW}XoOBiuVnmEdWD{Z0X<5v0LUT=E0vFBqcxp|t+0R;(n$In6+a_%#ciO6
z;h{+kgs&q$G4|DD168jYxW9&e2kK`90$F?0n8G@Y-c9K7M2sd(!P1%Cce@8Z`odN^
zY}J@ygCBsp3Djszc8P`g_WrF<yo_@ieIMwPuE`qjY;w{#>}a8&&=*ABu0a#rLzqTr
z5{NNaH|YI|e}-?<MuTg|ewqiCi;;s2D0ZboNENXz7zcy}dT9B#hxGsSkibwMN4(n|
zu6OU>;qoWX=h(zjZ;g!Ee5Ah#^g~Q5i|tC^2vLfNz2Q~#HFo>ILk%!!V*~+>5HlL|
zjGfI4sP%v*iNMZ)j%B!_H#l}ba5A_CfQI!FdAYpuPfhy3bL7axGKJ$SP)^B^&38xX
zOFN?UI)_FHXRv}(kNKGrYc>Z*3XpopG6Txad{vmCQGq3Mfcdqlqi3r4qo-B>)MfY^
z@-%!EXz5`|46@xy-ru?o|Bt{Lu$*(@4EujdgVh04&i}3zn`U}ubub$(9IT(+2}F!#
zssLT5MnBM8g2|8q>kSxw_JYjq|2v`R1$JXbDA0k8fw_pMvY7#cZPDN5<}0=pvAU)B
z&;0$VFJQMm#Gm>COA)W>BP*8&rm^dDF!FH%7${J^1eh;ogJ%9LkCW|k8oPF4pcuFd
zqe)i5N-bhPgH`m;dX*!%U}49wi?e?_sOW;0r4mLT<zdimx#&@_R3<riU6jE3`lmlK
ze_su1F%^)<gZa!<3Bd0BBX?kSsJ}wqhOG(4?}{$7>rdyj7yr*%vv<7-S`Pwi!(;bV
zNQSNbJEw!7_+`IkMi|(nf_rJeS`Aj(f8Q+bH?+1TyJ?}$f8VSTutx7?X>@@*e6!Lr
zgC<Wli)J<l1-$>fXGJp%e&MG4=6{zy0t}q+|LVH(K&aNRKSL;GDN~{t)x}7XYbr|_
z<;s?2Xq7FxAy<X$%P5taTvH;Fj2I#pEhNg8a4W(PA=^;)%aDD{{hl*3RNwu+|2oa_
z&hx(Sv;BVOH|Oo=x}Jdw*Fyqr8o1sTi;PvJ3%pgoj1OTX42dfUd&1YnI0b&_>UAd6
zqd4BeDYEbciWd-7ysh}})<Pt7M}}oY79#e*WL>l%g5%t|#`Uu6*n7_w4u`Yhx3Rhl
z4_*amxjh9knT;vnZb5in4WX}*Fs4Zw7g~jv`R*TKNoOFKIWs2A9KAqrA<0fH&Jm0x
zGyfs=a%X9NhZmgLKY81^VUdGg3-^%(gk>p_9`7W~3E4t$hl7KTKs+P|As$x6abO%F
z*WkaacJRklgV)Ju#V+}W;*=;2_;Ox$14{bpRptOpyO*0Dv14@|NVeo%a<ZlBgqZ7(
z?$$58=x(qJ*iSz=pD$tTr(_Fzu$w~Q?WxIsW{adEq3}t<oFD`PXL_Px8Ib4@XMv^j
zfUF_b(?M<Hu6yT<i@mJaY~<V8dDsOcuN9EuzGq%!H$Q}@e`D8zD<JuZ`Y8Z%U|eu>
z4^$doA*c!vy^G$#j}(c4?6;hJL`2FAn6NBl$#=hS%gj1R6S}}?Lo69gtxKiM3bm6u
zufjh3V=yApQ@fbZh+wHmPkFNq_}d@NEF2LD1vn$<dn|Cq+fg^UZr~wr1gi&w-vceX
zhb=8p<<?*WbA|yRjX;?peAVP+yhS(pX|9mNCspT!+QsG_I3-XNNpf6EZL3&#Rf-tY
zEUt@i66Un|2rm$h@QfqyHuW4*vPi=+CXnHr*`FXvNe+X0?2|~kD|!7gX5j%V07?R<
zAn$`f@avr5=8qKKh8F$oz9%1?u_Zi%=_A!xdwwb6&y8h&4*AKulwfGYl?S-V(uSKX
zAs-Qt+9&ca3L@)*j3KF->kt-r8Ph^n#71zAvn23_>BY2*>_&ZqEhnulniXint5lra
z(N{i~Na~g01{F?g9ZiE>`;y}*Yd>S5<tX_k!>K1})K;-7>bIX~xK#AGL+x)2XO;6N
zsONFg+XbE2aSYvmYJUN1sECj&7FlcSX+GagdR;KOE=Z3l^k)>N>0Af%<S$7Mg6iKg
zqG+*&?F)pid&I=OHCr1QDNS_uh0mE2nom8f?Kae@1|7{h;Tmv3A@Jo@VKU(^@c9`z
zDFjDbZS%sJE5RP;`OO8MsPPXCS$9GAWBq3TZ6DKw*$&6?gu>!oYA-Jp+6AvX&weK@
zdrP1w{~GIe_q4%@i%&m`?=U~>_8|nv5^rJ)yZK03Rp<NsYWU0ZqH964umr50T?^CM
zaEAD3<{$Qu9rJXG+oR0x?!y`pk>%vt879-I%uaqrTl6Ar$TXwVdJoC@*UGZLH%dh9
zRqlUs%m%Z`N?%g!D*dI;Ka}e6S3MdT*UB|DKVGp_xWD~a<-EqbHr2iLAKCPE%02ci
z6MD>LzZsAHWu@+0w*HLoaC7?cpkHV7WS<4Ew@SC&ddW{wk?&CuCXz%ZJiD5bbZ6pp
zz6f8A)u1wVD#l}MzPluB&(4+WzvxE&oszCh8M3<_t9(4l+7k|B`Kr_~1?MR%{)<xm
zl0PnA4X>ojzw(B<4*&9o%UIz%gG)k3e&M$ZpC{h^W_~#lGxld<(EM}q>NS%NNj`JU
zzP?>;gd5h9<*KVIFBv?$C4V=3djB-b?G2nh7%*S)FKPpxBHCYVT9e>WA$G^(`msL3
zm6PPu$pG&m!fXKidTUzCGvY+`ljA;u_7lq=8T<Bk%{q|^R=X0O%3r0VSa<j}R9Lup
z*@RlI3Ox|$WplI=+tLKVn;HXeSM`f8zT#PC`46GH_8_BZOC>=Rj}<F>NFnR!6u)fT
zQ}ot#-Ldp<GHwMkPrPaQ!>=-vrB2hM6>m;sgCZt1v;Dgse~2+m$GylL^$)5aA~IH0
z-cc2?8WR0$Yi$gB^v?an&rz<snm>HaAO6y{K~;#gw=qh@vXdx%`S;$aU&U@mmkGgH
z^wIFXnJxKaABrBf^v^ZQ$`v%y&P6p|#kIW<TKkPK{Kt^@*!v2@-Y&`BsfCst*@d`V
zw_x+0qQ88XX<Yw$iyzBa#)$aMmGOAS+9SN8Y5q*k;I`-4iYnF5f=&%-1}g9RtLR^p
zcN@Lq#Jwr|r*`*~U40s6$}8^7?QH*BQ2V^@mc0czgqgCj4OTP9S4m$oi%+}Z!OkAv
zRQjzZaI~sMsQYV1PlgzoWkqrdmPV<hSUoYwUwf~ogiH`KD1ARF?AqEh*q|@IuF~(G
zzZ~;}lH(2y!^%``oJJOQXPa9g{=L^QgEsc*#)n7g&3l4xTabgDlrKzto){GjdEemI
z*&Rc@{)hLPbK65k9_+g~;Sd#E*bsDXUUNW4BDTEgdB^7PLybAvO|6XOcg^pZ+X?L)
z))8-hSXbgyAAIWIZepv(QM={uopz4<me<&{2JNpuH+oj;qw4DR`_DSFycjOs>H8xN
zYZuVkimNhX7!whd&v!k0V|^bO*73}D?|<w3J+<)J&?tqyJGM))9L}v6D?Oo|89n|c
zea9j6+qw8zq$|wDMg*xaPPp$6cKkZtRxQX_k?^#zFHs~gcBJf~d0>j4@3D*4Cw>z+
z-gs)ezhLo!$9dGl#re;kN4)pYzSgs^@rlOTME7f%1{>a*nc`aC{-Lw#{dtY*8*PrR
zm7eKeKD3&4jQUJH-P_OuBK%Fv{EGMuEqc3RytZ6Bd$yNfz+8{wbd0dEn7^d#O@s3Z
zI3h&b<m0<)2^7}2_mvm?2p`USN$jxotR23t95SeXbBCj5&&KA4!Z+tx=NIBswu@iS
zbKkL5T&$+Rk9}A?tV(O}FO?(Bw!1p@lCu@0R-Io{dgN<afriOpm8qZ(bG`BqNtW<!
zhEQ0Z{c3a4!aZll^}T7nSEP1Q$0%KPdCb7W1r+m>?x}6N<cp(&Qa%MX*AdoatFT2w
zs^{#&__tZ#NxOK8IQ`h)=}7TLd!z17Xhf}w=z?tpaxw9SRn;s0kf5es_^a?zru5<6
z5&o%XbDn(p$grtAX8q}rh;`QQ#xYH|PH6hGKB&M+az$H?nA~vZuY6v3HS4VCeDFJe
znHSmEuG3e5CTitBNS|E3%Gc-VQ!TcPTg|IYj1ut~FI(xWSG+t#Y5Qg$yjQEW({4@;
zTGf<yPMj4~Kbn_$U9sfWhgrq-PE`S49$1MT$x}RV?{YzGe12`lKa8=0Gzo!-tLkeq
ztuB0VqtWi)pQ2aRj>P^l7hAdf!PU*<Z_i0@#=Uh65DvLGzpd?9|5S4ao{7;~`8m`n
zOm6k0Vo`wan-eA*I$PVypR^C3TAhMwUn#)ID{&Rs(A@zq4#P8@ujk<J#dXP=<}NpO
zukGmf&$089_R6%Eu%w?kV)Rn=o{q9eBE#jR=Wx!dF9KU_=+REK+uzEMf28WLY!>c~
z>d5vphYEk6bJN-wx4`m~_o_?q$&u8Mot%=dq7-j*AqY*{uRJyr6?|A$a$KPLpjl5H
zKY3<I!znVR>+}T|iwx{Z_ahnFEpybA^TpaS5f6@N^p37LZcIGyNilG4E>OvP)f_c@
zUhkK2?>6Z>gqxWu<%OL7ybnRGnX;11(+|5wOyT^Nu2$Pe(Q9zax+d3tDj8YZ^A&0H
z!jQh*?!p%14%U6BwN!&^iM!OF%O=<a^)}2$+kZU|0vE~|=$-!7nn1cu%iZCVYR#t5
z5|l!ZAUs0oPI~3%ul22D`W<w++H7gbsyGCdg%93ful3<V9k2Nx!0;QA!*~3P3ES6L
z%PQw!GA`zaz8E{Pk<*|gvEhQiyWn&y|7m3ZMLph$ba&7eBi*L?u#BO{0@a&KNjyK-
z%3o#LY{ThSX!ev2O)Kh10bw)-?&RS^$`63^2D`M8Ngd|)hGx=&521^-<qeF$34k_|
zfBGCGy(sB6;&j~5*1|skr!V!z-{COQvI8Pf1H_8Z51rknTB2!$ubjRL*phtcHLo$J
z7lfd1M&LC95q0*E&hq-~GuUeO7q;UR7xxRPLd#C#wy`{W>;d}l%v(e|4}$ywz;X?;
z%o!2usq@^~BE&+IUdN<!urQ_dGzkIM8xSnK1^P|wgvcx2HWD7^sq;*Qnc9|z0H{-B
z>pjKJ@WHm=kxQAKyuO&TsnE2m{@52&h8K}t$?I75>IHM`xCn?;%YX-X=`pY8H=Q%Z
z!<#}=;mm=JLtLz~#JV{1Xao*A3CkeW>2R=(1zyDv5l?~ostxE5;gRqW{+{BJwkT%~
zCuBe4LXdR=J2`+eYl)QjU!yHSB@6ry{KQKt0+c8Kl(?J7!6x+}y#0THFo(3F0BN-k
zS*uzusm5ike(+!b`&F!P9#6G|8+o(mfPW6+!Si@E4*Cb|iGankwF{3)V=2h`Ezu~5
znIzfB_#ffAIjf30zS4Ldho%#Ay$kxJMWO?{2qxJ4B?wA6V-I{2Z!>Pq>&;9*=hB9z
zgj`jM(Gn-a+l;^;QL%^6J`R`QOPT8e&oEjD%Sep(Zh=RKKwf>Ov~H+MxyU2F3`SP>
z)Kg~?|0Z++?)2mt=Jumu8|L}pF@BOeCpCfVUnU`!Jep&OEv;GwrDu`R0Z@FDa`F4M
zjx|KZ=**@cVUHNlq*EDy=-O&oLZmU8j_gN5{|0{!IkxsQhsI%%sslJ6Bbr^WqjPR)
zyBD#nUBlu|aIhz??nfHIe#Rj0J45NaW$GGptZ&|jGahBer36c=;|@+mh!}*BoGRdO
zb)1-m1;c_pGGGtFP(0j+;Grc?At3xF5RjZ)mxf@gKbviSW+Q*z3hbwVTL@4`Rv&OX
z$??qb(gsB8WW&oSTt2s#lhT2T3G&lqfBp&TEu{Sr8H|!e#)QMKse&UXim^-<?enRE
z$qtdKxs#2CGemXzcebdp8ITYbz4)gT@DuqLe_=7w02=2Y9!y<ac`Fitc36^qEn-M^
zx{qY1*xB%0kkKJL(QbrMAWR9S2?2Llg~S7m{kpNFf02p-;*UVlgy$(d>O~GF3YBQz
z+y5UNuU@#AL7fe^rSdp{pNLMNa#=wS{|q34Y}bA)72%1FO=Q2NB3$lLMEt<z%B-}+
zE^)bG`+u;k0D}Drvu{C&%O@z6jMdp`Ll%wVWG7xgV1JsY1@P(MG~AkF0>Q;gRl8@7
zx<fu%*;7ny<NmoA_y^gKhvT;*sSfylyCoh5$s!*1W0b*Q(zC@K+&#|^OeQD1fK%WQ
zbxVm!Neq~PhVRMl$p1-7c7BqMBaCy1YcVzkC`yD@L{b4zrX>h@Lg?pGF9yhkfho5-
z@<>VXsk_uA+B#fIHW^4rZe_+vuLEvvu@=67Wea1r5XQMxpGL@4q-cq7iGf%yzxmTp
z*Pu>w?BG;+9QSI`JDy{6u@v<8q=AFy5FB6QddE`P|DhEADz<V+(rX*h)i=uUv%m@8
zw+qVj(@)M_=@g!H*S6dmKYh(we%HmPW4eF7?31~!!FZg_-s8s@-?B0OTbJw#T@2gd
zs2C~TX3$sF!+TGxgywsrEvKlJ8D{sD3w_-Oa!l^liruKxs9O7ey~6$EHus0#na1x1
z_U1i7(`qnze+MQzV{$J`qiKAJ(L@j!lqwnY8P&+k$=o({kxGtR8E?agx;YM-7re9x
zPL7Vwl_2|CgER(*7j-pELS0CaN)D@8ht{&}Au9!1p&w@9k|XG7Q#`#cBpQXy+LV0B
z1(ifJ(G}8zC&c03($Mk512`HwA=riGg7;2BNvrFoU{H>+I*oUetWY(ZQj>3rBzc)t
zpd4>5_e<Fv20ExBS5pOzR2ikv=&*;FBoBijLliOIESg_;<t+na;}uB)ELYGojDkia
z-rBq=P5`qye!qI_O+odhi^iZzK+{G{s^Is8tLS}O;N7D9@Mzxv^J1hm6ckn<p{e7;
z8mq;7%gc#b;|5)EXrl@lmkJE(ZYn-H1cMTF8Q8}N(?yTkQeP9U?<NSdoZPZbRP`Mw
z*;d!Lp>A?*C0+WFx4iKgnoPXr6ODjlh3e(aM=!_3k2^PaY;Fz_3bJi<VhZMvcEtwg
zN_9zD_SJQH%^bZKQb)kNl4sazn~hC}U5InfeZTGOD>Z?rgBMVf6@GTX=?X<>S`r3d
z6MM;??WvhM=KQZe1&N&T-dki;8Cxc0%%r?~H#OkZf3C%<=g9T3*THsewgql(+A(4q
zwyvA4q8He=Iy17UZ$@QQnqrjh9lW$@quHT|M3(gUHp?c7s;0!XC-Fpk|8|q`^M{_f
zIt#O#j5|)q2c8JlrXCBag=ZV#Ecvmyy<6T$j=FpNF}&F#qQ$OV`Hdt)S)X~Ib*l8k
zCDvzwy$yTB-a!kODz)>ly6{I=`a{B#e3rzX-69U>;}Xoa#`|W+M-4a^<<k2;k;GZ%
zV<#Am&qL%sPTt5o@%I+=NQ$LQl`YL_@)5iWjjh4bZZ2M7+Fc}kd|RLXp-Xhbx83Gm
z_M4qMq6+)&9g5wXQK6~4+x>WNeOI-Ls^k5Ds6UmI_Gu~~Xl(^@=2GzL`CnN+^*XZ0
z2Mf0s6|dB8C^);;h(AJHcPcxuqGRh=Z29QM{<-P$mo3@9N1nd(<@XPogbSxG<gCYs
zGG4Gt4%h#=LDkp!qiogO%ge_GUwl+jJ(H!;*?#BF#}oN?C;P6wavQtR6MuX#WJ~eA
z10R!h<?Rkpi3#Fv*Jo;&R;BfRTAi<Dh3MUZr?%8I{&MY{gEpT(%dPJf)q1~MTDGg@
zU#AK-r>eB)Ig3hM+40FZw>R@pjMiCZSnNy5Y1_8cmT!5~%AA#Y^Xj`VTYss1?x55=
z>nzotSfu<lA+#(y#=%oW)mpDCdzIN%zeIiQz(?<U0}IYt=_z~PhrTp$_wJC<K!2=N
z(6)s%sC=(ibems0LUPUfZFSaL)9%>EC!2L9>t{%IGyG$tmeOAnUNa^=>lI|-U7|Pr
z1dDgp!ZDw95APk0aD2G_ZPn?f^w|UhL5IN)DG#huaff`PPb%wo2CFnqs#5HwPR*1t
zybF$*X5alo_=K*RA+|&3Ytim0h2}JOr(<>P(k4<C#zs<yP7c|tA2->!yJ_64_>_{I
zv-v2>f9<zMLhf|fD{OZ`*BI$aNZBLvbyabpDH@f2L)H#zN{mF+)kNjs(YNb81dng^
z|IO1Te^oE-ulO@{&&)>hN$ODxSuB@C`5E$s8HG;QG{vX~0cS_8?Vpv5tVo@a++Q?C
zC99a$hW|6|sBc@jw|$>XSq^{Wq*7k+e#ZEh>f0Z_v{O9KJl<Kg@W4_d!|}mO)=OD>
zceVV%<U}i5J2jKTDVEj~iXDB;)<V}qmIrPB_=PEZ%VXDrpu-Wn-l#9Dby(iR%-IH9
zZsi7<qdjkARhuM+rTuQ+yrtl?U1R;)9*lJ1-58_s^a_3bj<?>wmX8%n$L8I)ewLwi
ztJm}POX6_u(|O7tz|kHxV+vK=z)H+mkMyp)E@klhR$o<Om|aXJ%V6d(v+Y0wjTtoI
z(pvM#eR~1cVm<#Y`(K1DJbv@qO1APOp9#pF5`Lv}IcDQtt;6yw>W)M(MwER5j_2I^
z7XBvZhAgTsh%abMSFqalR<mCkw{I2*&sa7QKU-RC=3!`rzf_>6k-<2X5M|^N)gs$;
zJf{BLfYyaCN}AdQM(z3SH##Ef$=1DlFRoxj)VT`c(18|0J^D%*R9p&(F<d}pIaHx)
zEtV&@hSC(vcdz57us^K^C!33|K;dXrcu%FqQe#|7)(**3#Q^R41WS}=^38ZVRvj9W
zJk=QGkw&)h2C=9i=wmR^q1H;cB)(`OS+6unAepQb>dZ_I8#N)L&KV0RRiG?U_|tc8
zHlQjntE=$QsN9k)xq$=0E+~cDdD~rT<iv@_!SJ#|6xCR(&L3oT$q^I!{8>9z#qYK_
z-~zf<M>yErLI6}$y#YicL;fO}^yE-99khBKAo)tvKx7u;33V?0xFmrjD1VqzYl5_~
zg_<E>tkkGc2fUkt?{=2dknT#dnSfAE-m=p-1zl*V1N2Z~5e#XogA5LTI)aWG(BCw4
z;JgbODuxx>BVMh7FVYni?V*oBiK`hH!_e)9n#qy5rOT7fyLuQwVe~NSh>Vs7eG7b<
zdId@qV}VOTfieyBiZ+ZeBYhMGt*_bys@!i$-l<8;Fw#2FaY-m)n25)|BoyQJkb$*Y
z4GNQdlOE|BYT+_!5P-sgY*N7m?MK5)9B@UwND?+yuR$r5CP~a#ih}6wgXwl9b(4cA
zy5;Q}MKIs&Tal|0ir*kWZNR`9M7}6`unS1{o|DyK+Hs;u<g-S}H-!Z@!D|)g=qNbK
zZC9*pE-Lp$h1}PRWs_-qJ!BYPQ6W?kb2<`gw!lcudPan$vrIq8{OG6egi7QI-nl)N
zw2Xa-7INq+r81OHNeELkn}RvEEOnGl)=Uz>z+tK^R~Iw^1kQ-8&eC@(H3d_uB`pLF
zfi{&(DZ<hC>I^V<Q*x{w6f{$@eRx?dOHkz0H+0;_Uq})dGU~V!c{hzuR76E4orWIJ
zmjU%HMjFS6Lk$?5u`;Ehf?Z)bQpgU1k<swBI#hiP2%-IGb98Ee2ug?yD#_V8J~lr3
zF8IwqMYsz7p?yh$x8Ma2M#cgtjA-r)2I%Fqrc;=-B!OCtY_w=@TBw8+NbeNKlS9|s
zxedSFqM=(Om9&}qD9}8mPJvIuTtMARoTU>Jrf7U&CWh)JA8^pnq~yu(ki<C0tJSQh
zq3gbe)hM_I_oD-diAp&5d~+zS0++^z-nSl~d*2nc`hZJHdKyX$zXnGebVWJgbBVeF
zDj@$&27PWWT!8R4IdoNn3v7{6V7>kh(ddF?vaUjpkv^uBXaas`DGlOS{KHgGEnDbg
zEYPjD2lO$aMC5aHYBCwMoCf!Aq?3`z^MtYZjSw+4=Q@H3cOLu-9|?>il4IK5y&y1M
z?w86(#;x~;0KMkpVG2VKVO%~$yNN-R&Z|H-C=B0OB%4N7LZ#it5D)S{%u~TwqL)`J
zBkHf>#}^5}g@96D5#}(;l9B~~?302Rhz30*sGOZa^b86{DX>dLE}86rxeJ146nfOG
zGN4{xPNE1I5Kq*XL-~XK4stcf&{}m`MExD&U^Wfibh949<}?|ni$jtKF&-icu}(CX
z2)Z%&OO%2-XJz`}6MiNQPt;uzZwEIBtHbv=MuFAHoeExXQ>mrP2>fS*0b(V*(g9W-
z2lt~FTw$i-FmaSKM$`+I37rH%UJ74`QagYwLOcQ1oiDPeABKgYCE^A5!DluO&;`Q|
S%D{gKn<INdhlvpWZTTN7SWT$_

literal 0
HcmV?d00001

diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Reference_list.ipynb b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Reference_list.ipynb
new file mode 100644
index 00000000..8baa1c2c
--- /dev/null
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Reference_list.ipynb
@@ -0,0 +1,107 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "ee10651c-f7ea-45f3-ad19-4b47471132d0",
+   "metadata": {},
+   "source": [
+    "# Reference list"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6d8acfec-6db0-4b51-b11e-f1b04a2760a0",
+   "metadata": {},
+   "source": [
+    "ADCS. (2026, April 28). Transportation and shipping. Athabasca Delta Community School. https://adcs.psd.ca/staff/shipping   \n",
+    "\n",
+    "Adam, A., Tucarro, B. J., & Cardinal, K. (2024, August 23). Environmental contamination in the vicinity of the dock in Fort Chipewyan. Transport Canada. https://tc.canada.ca/en/binder/august-27-2024-0   \n",
+    "\n",
+    "Alberta Environment and Parks. (2026). Athabasca River Conditions and Use - Alberta Environment. Government of Alberta. Retrieved April 27, 2026, from https://www.environment.alberta.ca/apps/OSEM/   \n",
+    "\n",
+    "Andrishak, R., Abarca, J. N., Wojtowicz, A., & Wicks, F. (2008). Freeze-up study on the lower Athabasca River (Alberta, Canada). ETDEWEB. Retrieved May 21, 2026, from https://www.iahr.org/library/infor?pid=26767  \n",
+    "\n",
+    "Aryal, S., Babel, M. S., Gupta, A., & Farjad, B. (2023). Assessment of hydrological baseline condition and its alteration in Athabasca River Basin, Canada. Journal of Hydrology Regional Studies, 53(22). https://doi.org/10.1016/j.ejrh.2024.101805   \n",
+    "\n",
+    "Athabasca Watershed Council. (2026, February 6). The Athabasca Watershed | Athabasca Watershed Council. https://athabascawatershed.ca/the-athabasca-watershed/  \n",
+    "\n",
+    "Athabasca University. (n.d.). About the Athabasca River Basin. Athabasca River Basin Research Institute, Athabasca University. Retrieved April 24, 2026, from https://arbri.athabascau.ca/About-the-Athabasca-River-basin/Index.php   \n",
+    "\n",
+    "Axelrod, J. (2015, October 14). Low Water Levels in the Athabasca River are a Preview of Future Problems for Alberta’s Tar Sands Industry. NRDC Expert Blog. https://www.nrdc.org/bio/josh-axelrod/low-water-levels-athabasca-river-are-preview-future-problems-albertas-tar-sands   \n",
+    "\n",
+    "Candler, C., Malone, M., & Firelight Group Research Cooperative. (2015). Addendum to MCFN Indigenous Knowledge and Use Report for TECK Frontier. In www.thefirelightgroup.com (pp. 20–23). https://ceaa-acee.gc.ca/050/documents/p65505/114502E.pdf   \n",
+    "\n",
+    "Candler, C., Olson, R., DeRoy, S., Firelight Group Research Cooperative, Athabasca Chipewyan First Nation, & Mikisew Cree First Nation. (2010). As long as the rivers flow: Athabasca River knowledge, use and change. https://s3-us-west-2.amazonaws.com/parkland-research-pdfs/aslongastheriversflow.pdf   \n",
+    "\n",
+    "Canada, T. (2020, February 7). Navigation study of the lower Athabasca River. Transport Canada. https://tc.canada.ca/en/marine/navigation-study-lower-athabasca-river \n",
+    "Canadian Red Cross. (n.d.). Fort McMurray and Area Floods. Retrieved May 21, 2026, from https://www.redcross.ca/in-your-community/alberta/major-responses/past-emergencies/fort-mcmurray-and-area-floods  \n",
+    "\n",
+    "Chernos, M., MacDonald, R. J., Nemeth, M. W., & Craig, J. R. (2020, September 11). Current and future projections of glacier contribution to streamflow in the upper Athabasca River Basin. Canadian Water Resources Journal / Revue Canadienne Des Ressources Hydriques, 45(4), 324–344. https://doi.org/10.1080/07011784.2020.1815587  \n",
+    "\n",
+    "DSI. (2019, September 14). Lower Athabasca River Water Quality and Toxics Modeling (Canada). https://dsi.llc/representative-projects/lower-athabasca-river-water-quality-modeling-canada/\n",
+    "Duc, L., & Sawada, Y. (2023). A signal-processing-based interpretation of the Nash–Sutcliffe efficiency. Hydrology and Earth System Sciences, 27(9), 1827–1839. https://doi.org/10.5194/hess-27-1827-2023  \n",
+    "\n",
+    "Ecosystem Classification Group. (2008). Taiga Shield. In Government of Canada. https://www.gov.nt.ca/sites/ecc/files/resources/taiga_shield_ecological_land_classification_report_0.pdf\n",
+    "eWaterCycle (n.d.). eWaterCycle About. Retrieved May 21, 2026, from https://www.ewatercycle.org/about.html   \n",
+    "\n",
+    "Faramarzi, M., Srinivasan, R., Iravani, M., Bladon, K. D., Abbaspour, K. C., Zehnder, A. J. B., & Goss, G. G. (2015). Setting up a hydrological model of Alberta: data discrimination analyses prior to calibration. Environmental Modelling & Software, 74. https://doi.org/10.1016/j.envsoft.2015.09.006  \n",
+    "\n",
+    "Government of Canada. (n.d.). Canadian Climate Normals 1991-2020 Data. Retrieved June 15, 2026, from https://climate.weather.gc.ca/climate_normals/results_1991_2020_e.html?searchType=stnName_1991&txtStationName_1991=Fort+McMurray&searchMethod=contains&txtCentralLatMin=0&txtCentralLatSec=0&txtCentralLongMin=0&txtCentralLongSec=0&climate_id=3062693&dispBack=1  \n",
+    "\n",
+    "Government of Canada. (2019, March 1). CMIP6 and Shared Socio-economic Pathways Overview. https://climate-scenarios.canada.ca/?page=cmip6-overview-notes  \n",
+    "\n",
+    "Government of Canada. (2026, March 9). Disclaimer for Hydrometric information - Water Level and Flow - Environment Canada. Retrieved May 21, 2026, from https://wateroffice.ec.gc.ca/report/historical_e.html?stn=07DA001   \n",
+    "\n",
+    "HEC-HMS. (n.d.). Calibration Summary Statistics. Retrieved May 21, 2026, from https://www.hec.usace.army.mil/confluence/hmsdocs/hmstrm/calibration/calibration-summary-statistics  \n",
+    "\n",
+    "Hrachowitz, M. & eWaterCycle. (n.d.). GitHub - eWaterCycle/HBV-bmi: BMI implementation of the BMI in a markov chain process using python. eWaterCycle. Retrieved May 21, 2026, from https://github.com/eWaterCycle/HBV-bmi  \n",
+    "\n",
+    "Kashyap, S., Kerkhoven, E., Islam, Z., Petty, A., & Depoe, S. (2022). Predicting navigability in the Lower Athabasca river system through numerical modelling. In Lecture notes in civil engineering (pp. 479–490). https://doi.org/10.1007/978-981-19-1065-4_40   \n",
+    "\n",
+    "Miguel’s Youtube Channel. (2026, April 26). Athabasca River south of Fort Mcmurray, April 26, 2026 [Video]. YouTube. https://www.youtube.com/watch?v=vfWEjK4YqaE  \n",
+    "\n",
+    "Mikisew Cree First Nation. (2016). Written brief of the Mikisew Cree First Nation to the Standing Committee on Transport, Infrastructure and Communities. https://www.ourcommons.ca/Content/Committee/421/TRAN/Brief/BR8708926/br-external/MikisewCreeFirstNation-e.pdf   \n",
+    "\n",
+    "Normand, G., & Bakx, K. (2018, December 25). Why Indigenous groups are tired of fighting oilsands development. CBC News. https://newsinteractives.cbc.ca/longform/drawing-a-line-in-the-oilsands-fight/   \n",
+    "\n",
+    "Nottawasaga Valley Conservation Authority. (2026, January 9). Ice Jams - the Nottawasaga Valley Conservation Authority. The Nottawasaga Valley Conservation Authority. https://www.nvca.on.ca/flooding/ice-jams/  \n",
+    "\n",
+    "Peters, D. L., Dibike, Y. B., Shudian, J., Monk, W. A., & Baird, D. J. (2023). Effects of climate change on navigability indicators of the Lower Athabasca River, Canada. Water, 15(7). https://doi.org/10.3390/w15071373\n",
+    "Siemens, K., Dibike, Y., Shrestha, R. R., & Prowse, T. (2021). Runoff projection from an alpine watershed in western Canada: application of a snowmelt runoff model. Water, 13(9). https://doi.org/10.3390/w13091199  \n",
+    "\n",
+    "Transport Canada, & Carver, M. (2020). Transport Canada Navigational Study of the Lower Athabasca River – Outcomes and Technical review. Aqua Environmental Associates. https://registrydocumentsprd.blob.core.windows.net/commentsblob/project-80521/comment-54376/TC-nav-study_review-FINAL.pdf  \n",
+    "\n",
+    "Van Vuuren, D. P., O’Neill, B. C., Tebaldi, C., Sanderson, B. M., Chini, L. P., Friedlingstein, P., Hasegawa, T., Riahi, K., Govindasamy, B., Bauer, N., Eyring, V., Fall, C. M. N., Frieler, K., Gidden, M. J., Gohar, L. K., Högner, A., Jones, A. D., Kikstra, J., King, A., . . . Ziehn, T. (2026). The Scenario Model Intercomparison Project for CMIP7 (ScenarioMIP-CMIP7). 1, 19(7). https://doi.org/10.5194/gmd-19-2627-2026"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c9503c71-cd04-436c-a561-be847a148976",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

From a283b1a9616633b96b981055015b741f6ba00e1e Mon Sep 17 00:00:00 2001
From: Maxime <mxdebekker@gmail.com>
Date: Mon, 22 Jun 2026 16:35:24 +0200
Subject: [PATCH 22/24] Code cleaning

---
 .../Step1_CMIP6_Forcings_Generation.ipynb     |  237 ++--
 .../Step1_ERA5_Forcings_Generation.ipynb      |  385 ++++-
 .../Workyard/Step2_Algorithm_Ice.ipynb        |  656 ++++++---
 .../Workyard/Step3_Calibration_HBV.ipynb      |   87 +-
 .../Step4_HBV_Validation_Ensemble.ipynb       |  666 ++++++---
 .../Workyard/Step6_CMIP_History.ipynb         | 1235 ++++++++++++-----
 .../Workyard/Step7_CMIP_Projections.ipynb     |  385 +++--
 7 files changed, 2602 insertions(+), 1049 deletions(-)

diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step1_CMIP6_Forcings_Generation.ipynb b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step1_CMIP6_Forcings_Generation.ipynb
index cc714dec..ae645d83 100644
--- a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step1_CMIP6_Forcings_Generation.ipynb
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step1_CMIP6_Forcings_Generation.ipynb
@@ -24,7 +24,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 114,
+   "execution_count": 49,
    "id": "7ef3318e-968e-418e-bf4c-a8936aade9a5",
    "metadata": {},
    "outputs": [],
@@ -47,10 +47,29 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 115,
+   "execution_count": 1,
    "id": "f7ff029b-ee4b-4fe2-b5d5-bf768b626989",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "ename": "OSError",
+     "evalue": "[Errno 5] Input/output error: '/data/shared/observation/grdc/dailies'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mOSError\u001b[0m                                   Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[1], line 2\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;66;03m# General eWaterCycle\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mewatercycle\u001b[39;00m\n\u001b[1;32m      3\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mewatercycle\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mmodels\u001b[39;00m\n\u001b[1;32m      4\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mewatercycle\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mforcing\u001b[39;00m\n",
+      "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/ewatercycle/__init__.py:3\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;124;03m\"\"\"ewatercycle package.\"\"\"\u001b[39;00m\n\u001b[0;32m----> 3\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mconfig\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m CFG \u001b[38;5;28;01mas\u001b[39;00m CFG\n\u001b[1;32m      4\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mversion\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m __version__ \u001b[38;5;28;01mas\u001b[39;00m __version__\n",
+      "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/ewatercycle/config/__init__.py:321\u001b[0m\n\u001b[1;32m    317\u001b[0m _SOURCES \u001b[38;5;241m=\u001b[39m (USER_HOME_CONFIG, SYSTEM_CONFIG)\n\u001b[1;32m    319\u001b[0m USER_CONFIG \u001b[38;5;241m=\u001b[39m _find_user_config(_SOURCES)\n\u001b[0;32m--> 321\u001b[0m CFG \u001b[38;5;241m=\u001b[39m \u001b[43mConfiguration\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_load_user_config\u001b[49m\u001b[43m(\u001b[49m\u001b[43mUSER_CONFIG\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mif\u001b[39;00m USER_CONFIG \u001b[38;5;28;01melse\u001b[39;00m Configuration()\n\u001b[1;32m    322\u001b[0m \u001b[38;5;124;03m\"\"\"eWaterCycle configuration object.\u001b[39;00m\n\u001b[1;32m    323\u001b[0m \n\u001b[1;32m    324\u001b[0m \u001b[38;5;124;03mThe configuration is loaded from:\u001b[39;00m\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    341\u001b[0m \u001b[38;5;124;03m    # apptainer pull docker://ewatercycle/wflow-grpc4bmi:2020.1.1\u001b[39;00m\n\u001b[1;32m    342\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n",
+      "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/ewatercycle/config/__init__.py:197\u001b[0m, in \u001b[0;36mConfiguration._load_user_config\u001b[0;34m(cls, filename)\u001b[0m\n\u001b[1;32m    195\u001b[0m mapping \u001b[38;5;241m=\u001b[39m _read_config_file(filename)\n\u001b[1;32m    196\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 197\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mConfiguration\u001b[49m\u001b[43m(\u001b[49m\u001b[43mewatercycle_config\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfilename\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mmapping\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    198\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m ValidationError \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m    199\u001b[0m     \u001b[38;5;66;03m# Append filename to error locs\u001b[39;00m\n\u001b[1;32m    200\u001b[0m     \u001b[38;5;28;01mfor\u001b[39;00m error \u001b[38;5;129;01min\u001b[39;00m e\u001b[38;5;241m.\u001b[39merrors():\n",
+      "    \u001b[0;31m[... skipping hidden 1 frame]\u001b[0m\n",
+      "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/pydantic/types.py:1282\u001b[0m, in \u001b[0;36mPathType.validate_directory\u001b[0;34m(path, _)\u001b[0m\n\u001b[1;32m   1280\u001b[0m \u001b[38;5;129m@staticmethod\u001b[39m\n\u001b[1;32m   1281\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21mvalidate_directory\u001b[39m(path: Path, _: core_schema\u001b[38;5;241m.\u001b[39mValidationInfo) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Path:\n\u001b[0;32m-> 1282\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[43mpath\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mis_dir\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m:\n\u001b[1;32m   1283\u001b[0m         \u001b[38;5;28;01mreturn\u001b[39;00m path\n\u001b[1;32m   1284\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n",
+      "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/pathlib.py:875\u001b[0m, in \u001b[0;36mPath.is_dir\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    871\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m    872\u001b[0m \u001b[38;5;124;03mWhether this path is a directory.\u001b[39;00m\n\u001b[1;32m    873\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m    874\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 875\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m S_ISDIR(\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mstat\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241m.\u001b[39mst_mode)\n\u001b[1;32m    876\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mOSError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m    877\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m _ignore_error(e):\n",
+      "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/pathlib.py:840\u001b[0m, in \u001b[0;36mPath.stat\u001b[0;34m(self, follow_symlinks)\u001b[0m\n\u001b[1;32m    835\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21mstat\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;241m*\u001b[39m, follow_symlinks\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m):\n\u001b[1;32m    836\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m    837\u001b[0m \u001b[38;5;124;03m    Return the result of the stat() system call on this path, like\u001b[39;00m\n\u001b[1;32m    838\u001b[0m \u001b[38;5;124;03m    os.stat() does.\u001b[39;00m\n\u001b[1;32m    839\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[0;32m--> 840\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mos\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mstat\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfollow_symlinks\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfollow_symlinks\u001b[49m\u001b[43m)\u001b[49m\n",
+      "\u001b[0;31mOSError\u001b[0m: [Errno 5] Input/output error: '/data/shared/observation/grdc/dailies'"
+     ]
+    }
+   ],
    "source": [
     "# General eWaterCycle\n",
     "import ewatercycle\n",
@@ -60,7 +79,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 116,
+   "execution_count": 51,
    "id": "df3c38b4-7757-475c-a670-e7a06cc53955",
    "metadata": {},
    "outputs": [],
@@ -79,7 +98,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 117,
+   "execution_count": 52,
    "id": "b2343410-2713-4089-ae42-dad37b457c41",
    "metadata": {},
    "outputs": [
@@ -87,12 +106,12 @@
      "data": {
       "text/html": [
        "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6-20</span>\n",
-       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">75-2080</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">25-2030</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
        "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/\u001b[0m\u001b[95mCMIP6-20\u001b[0m\n",
-       "\u001b[95m75-2080\u001b[0m\n"
+       "\u001b[95m25-2030\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -101,11 +120,11 @@
     {
      "data": {
       "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2075</span>\n",
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2025</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
-       "\u001b[1;36m2075\u001b[0m\n"
+       "\u001b[1;36m2025\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -114,11 +133,11 @@
     {
      "data": {
       "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2099</span>\n",
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2050</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
-       "\u001b[1;36m2099\u001b[0m\n"
+       "\u001b[1;36m2050\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -130,8 +149,8 @@
     "\n",
     "# For CMIP trial:\n",
     "# periods = [\n",
-    "#     [1995, 2000, 2005, 2010],\n",
-    "#     [1999, 2004, 2009, 2014]\n",
+    "#     [1989, 1995, 2000, 2005, 2010],\n",
+    "#     [1994, 1999, 2004, 2009, 2014]\n",
     "# ]\n",
     "\n",
     "# periods = [\n",
@@ -140,10 +159,10 @@
     "# ]\n",
     "\n",
     "# Future projections 2025-2050:\n",
-    "# periods = [\n",
-    "#     [2025, 2031, 2036, 2041, 2046],\n",
-    "#     [2030, 2035, 2040, 2045, 2050]\n",
-    "# ]\n",
+    "periods = [\n",
+    "    [2025, 2031, 2036, 2041, 2046],\n",
+    "    [2030, 2035, 2040, 2045, 2050]\n",
+    "]\n",
     "\n",
     "# Future projections 2050-2075:\n",
     "# periods = [\n",
@@ -152,10 +171,10 @@
     "# ]\n",
     "\n",
     "# Future projections 2075-2099:\n",
-    "periods = [\n",
-    "    [2075, 2081, 2086, 2091, 2096],\n",
-    "    [2080, 2085, 2090, 2095, 2099]\n",
-    "]\n",
+    "# periods = [\n",
+    "#     [2075, 2081, 2086, 2091, 2096],\n",
+    "#     [2080, 2085, 2090, 2095, 2099]\n",
+    "# ]\n",
     "\n",
     "\n",
     "folder_names = []\n",
@@ -198,18 +217,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 118,
+   "execution_count": 53,
    "id": "cbc7b2b6-88ee-4e7f-b37c-39eaf878c075",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Finished CMIP6-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2075</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2080</span>\n",
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Skipping CMIP6-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2025</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2030</span> because the folder is not empty.\n",
        "</pre>\n"
       ],
       "text/plain": [
-       "Finished CMIP6-\u001b[1;36m2075\u001b[0m-\u001b[1;36m2080\u001b[0m\n"
+       "Skipping CMIP6-\u001b[1;36m2025\u001b[0m-\u001b[1;36m2030\u001b[0m because the folder is not empty.\n"
       ]
      },
      "metadata": {},
@@ -218,11 +237,11 @@
     {
      "data": {
       "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Finished CMIP6-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2081</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2085</span>\n",
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Finished CMIP6-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2031</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2035</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
-       "Finished CMIP6-\u001b[1;36m2081\u001b[0m-\u001b[1;36m2085\u001b[0m\n"
+       "Finished CMIP6-\u001b[1;36m2031\u001b[0m-\u001b[1;36m2035\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -231,11 +250,11 @@
     {
      "data": {
       "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Finished CMIP6-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2086</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2090</span>\n",
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Finished CMIP6-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2036</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2040</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
-       "Finished CMIP6-\u001b[1;36m2086\u001b[0m-\u001b[1;36m2090\u001b[0m\n"
+       "Finished CMIP6-\u001b[1;36m2036\u001b[0m-\u001b[1;36m2040\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -244,11 +263,11 @@
     {
      "data": {
       "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Finished CMIP6-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2091</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2095</span>\n",
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Finished CMIP6-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2041</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2045</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
-       "Finished CMIP6-\u001b[1;36m2091\u001b[0m-\u001b[1;36m2095\u001b[0m\n"
+       "Finished CMIP6-\u001b[1;36m2041\u001b[0m-\u001b[1;36m2045\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -257,11 +276,11 @@
     {
      "data": {
       "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Finished CMIP6-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2096</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2099</span>\n",
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Finished CMIP6-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2046</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2050</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
-       "Finished CMIP6-\u001b[1;36m2096\u001b[0m-\u001b[1;36m2099\u001b[0m\n"
+       "Finished CMIP6-\u001b[1;36m2046\u001b[0m-\u001b[1;36m2050\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -274,11 +293,9 @@
     "shape_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
     "\n",
     "# Choose CMIP6 dataset\n",
-    "CMIP_dataset = {'dataset': 'MPI-ESM1-2-HR', 'project': 'CMIP6', 'grid' : 'gn', 'exp': Scenario, 'ensemble': 'r1i1p1f1'}\n",
+    "# CMIP_dataset = {'dataset': 'MPI-ESM1-2-HR', 'project': 'CMIP6', 'grid' : 'gn', 'exp': Scenario, 'ensemble': 'r1i1p1f1'}\n",
     "CMIP_dataset =  {'project': 'CMIP6', 'activity': 'ScenarioMIP', 'exp': Scenario, 'mip': 'day', 'dataset': 'MPI-ESM1-2-HR', 'ensemble': 'r1i1p1f1', 'institute': 'DKRZ', 'grid': 'gn'}\n",
     "\n",
-    "\n",
-    "\n",
     "# Generate forcing data\n",
     "# for i in range(1):\n",
     "for i in range(len(folder_names)):\n",
@@ -314,18 +331,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 119,
+   "execution_count": 54,
    "id": "f8e8ac64-fee5-4602-a1f1-90b8fb14c2b2",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">[</span><span style=\"color: #008000; text-decoration-color: #008000\">'CMIP6-2075-2080'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'CMIP6-2081-2085'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'CMIP6-2086-2090'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'CMIP6-2091-2095'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'CMIP6-2096-2099'</span><span style=\"font-weight: bold\">]</span>\n",
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">[</span><span style=\"color: #008000; text-decoration-color: #008000\">'CMIP6-2025-2030'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'CMIP6-2031-2035'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'CMIP6-2036-2040'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'CMIP6-2041-2045'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'CMIP6-2046-2050'</span><span style=\"font-weight: bold\">]</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
-       "\u001b[1m[\u001b[0m\u001b[32m'CMIP6-2075-2080'\u001b[0m, \u001b[32m'CMIP6-2081-2085'\u001b[0m, \u001b[32m'CMIP6-2086-2090'\u001b[0m, \u001b[32m'CMIP6-2091-2095'\u001b[0m, \u001b[32m'CMIP6-2096-2099'\u001b[0m\u001b[1m]\u001b[0m\n"
+       "\u001b[1m[\u001b[0m\u001b[32m'CMIP6-2025-2030'\u001b[0m, \u001b[32m'CMIP6-2031-2035'\u001b[0m, \u001b[32m'CMIP6-2036-2040'\u001b[0m, \u001b[32m'CMIP6-2041-2045'\u001b[0m, \u001b[32m'CMIP6-2046-2050'\u001b[0m\u001b[1m]\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -334,10 +351,10 @@
     {
      "data": {
       "text/plain": [
-       "LumpedMakkinkForcing(start_time='2075-01-01T00:00:00Z', end_time='2080-12-31T00:00:00Z', directory=PosixPath('/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-2075-2080/work/diagnostic/script'), shape=PosixPath('/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-2075-2080/work/diagnostic/script/07DA001_basin.shp'), filenames={'pr': 'CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_pr_gn_2075-2080.nc', 'tas': 'CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_tas_gn_2075-2080.nc', 'rsds': 'CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_rsds_gn_2075-2080.nc', 'evspsblpot': 'Derived_Makkink_evspsblpot.nc'})"
+       "LumpedMakkinkForcing(start_time='2025-01-01T00:00:00Z', end_time='2030-12-31T00:00:00Z', directory=PosixPath('/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-2025-2030/work/diagnostic/script'), shape=PosixPath('/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-2025-2030/work/diagnostic/script/07DA001_basin.shp'), filenames={'pr': 'CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_pr_gn_2025-2030.nc', 'tas': 'CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_tas_gn_2025-2030.nc', 'rsds': 'CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_rsds_gn_2025-2030.nc', 'evspsblpot': 'Derived_Makkink_evspsblpot.nc'})"
       ]
      },
-     "execution_count": 119,
+     "execution_count": 54,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -367,7 +384,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 120,
+   "execution_count": 55,
    "id": "1cb12aa2-4b4c-4108-a5c9-2d8156cdecfe",
    "metadata": {},
    "outputs": [],
@@ -395,7 +412,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 121,
+   "execution_count": 56,
    "id": "b21fe2e4-478a-4e0b-9f1f-a40316e22018",
    "metadata": {},
    "outputs": [
@@ -404,13 +421,13 @@
       "text/html": [
        "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
        "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
-       "<span style=\"color: #800080; text-decoration-color: #800080\">75-2080/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_pr_gn_2075-2080.nc</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">25-2030/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_pr_gn_2025-2030.nc</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
        "Loading \n",
        "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
-       "\u001b[35m75-2080/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_pr_gn_2075-2080.nc\u001b[0m\n"
+       "\u001b[35m25-2030/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_pr_gn_2025-2030.nc\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -421,13 +438,13 @@
       "text/html": [
        "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
        "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
-       "<span style=\"color: #800080; text-decoration-color: #800080\">81-2085/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_pr_gn_2081-2085.nc</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">31-2035/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_pr_gn_2031-2035.nc</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
        "Loading \n",
        "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
-       "\u001b[35m81-2085/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_pr_gn_2081-2085.nc\u001b[0m\n"
+       "\u001b[35m31-2035/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_pr_gn_2031-2035.nc\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -438,13 +455,13 @@
       "text/html": [
        "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
        "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
-       "<span style=\"color: #800080; text-decoration-color: #800080\">86-2090/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_pr_gn_2086-2090.nc</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">36-2040/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_pr_gn_2036-2040.nc</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
        "Loading \n",
        "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
-       "\u001b[35m86-2090/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_pr_gn_2086-2090.nc\u001b[0m\n"
+       "\u001b[35m36-2040/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_pr_gn_2036-2040.nc\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -455,13 +472,13 @@
       "text/html": [
        "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
        "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
-       "<span style=\"color: #800080; text-decoration-color: #800080\">91-2095/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_pr_gn_2091-2095.nc</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">41-2045/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_pr_gn_2041-2045.nc</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
        "Loading \n",
        "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
-       "\u001b[35m91-2095/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_pr_gn_2091-2095.nc\u001b[0m\n"
+       "\u001b[35m41-2045/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_pr_gn_2041-2045.nc\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -472,13 +489,13 @@
       "text/html": [
        "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
        "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
-       "<span style=\"color: #800080; text-decoration-color: #800080\">96-2099/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_pr_gn_2096-2099.nc</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">46-2050/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_pr_gn_2046-2050.nc</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
        "Loading \n",
        "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
-       "\u001b[35m96-2099/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_pr_gn_2096-2099.nc\u001b[0m\n"
+       "\u001b[35m46-2050/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_pr_gn_2046-2050.nc\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -489,13 +506,13 @@
       "text/html": [
        "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
        "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
-       "<span style=\"color: #800080; text-decoration-color: #800080\">75-2080/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_tas_gn_2075-2080.nc</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">25-2030/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_tas_gn_2025-2030.nc</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
        "Loading \n",
        "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
-       "\u001b[35m75-2080/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_tas_gn_2075-2080.nc\u001b[0m\n"
+       "\u001b[35m25-2030/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_tas_gn_2025-2030.nc\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -506,13 +523,13 @@
       "text/html": [
        "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
        "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
-       "<span style=\"color: #800080; text-decoration-color: #800080\">81-2085/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_tas_gn_2081-2085.nc</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">31-2035/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_tas_gn_2031-2035.nc</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
        "Loading \n",
        "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
-       "\u001b[35m81-2085/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_tas_gn_2081-2085.nc\u001b[0m\n"
+       "\u001b[35m31-2035/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_tas_gn_2031-2035.nc\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -523,13 +540,13 @@
       "text/html": [
        "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
        "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
-       "<span style=\"color: #800080; text-decoration-color: #800080\">86-2090/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_tas_gn_2086-2090.nc</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">36-2040/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_tas_gn_2036-2040.nc</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
        "Loading \n",
        "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
-       "\u001b[35m86-2090/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_tas_gn_2086-2090.nc\u001b[0m\n"
+       "\u001b[35m36-2040/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_tas_gn_2036-2040.nc\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -540,13 +557,13 @@
       "text/html": [
        "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
        "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
-       "<span style=\"color: #800080; text-decoration-color: #800080\">91-2095/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_tas_gn_2091-2095.nc</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">41-2045/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_tas_gn_2041-2045.nc</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
        "Loading \n",
        "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
-       "\u001b[35m91-2095/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_tas_gn_2091-2095.nc\u001b[0m\n"
+       "\u001b[35m41-2045/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_tas_gn_2041-2045.nc\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -557,13 +574,13 @@
       "text/html": [
        "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
        "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
-       "<span style=\"color: #800080; text-decoration-color: #800080\">96-2099/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_tas_gn_2096-2099.nc</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">46-2050/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_tas_gn_2046-2050.nc</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
        "Loading \n",
        "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
-       "\u001b[35m96-2099/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_tas_gn_2096-2099.nc\u001b[0m\n"
+       "\u001b[35m46-2050/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_tas_gn_2046-2050.nc\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -574,13 +591,13 @@
       "text/html": [
        "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
        "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
-       "<span style=\"color: #800080; text-decoration-color: #800080\">75-2080/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_rsds_gn_2075-2080.nc</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">25-2030/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_rsds_gn_2025-2030.nc</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
        "Loading \n",
        "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
-       "\u001b[35m75-2080/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_rsds_gn_2075-2080.nc\u001b[0m\n"
+       "\u001b[35m25-2030/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_rsds_gn_2025-2030.nc\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -591,13 +608,13 @@
       "text/html": [
        "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
        "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
-       "<span style=\"color: #800080; text-decoration-color: #800080\">81-2085/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_rsds_gn_2081-2085.nc</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">31-2035/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_rsds_gn_2031-2035.nc</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
        "Loading \n",
        "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
-       "\u001b[35m81-2085/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_rsds_gn_2081-2085.nc\u001b[0m\n"
+       "\u001b[35m31-2035/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_rsds_gn_2031-2035.nc\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -608,13 +625,13 @@
       "text/html": [
        "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
        "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
-       "<span style=\"color: #800080; text-decoration-color: #800080\">86-2090/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_rsds_gn_2086-2090.nc</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">36-2040/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_rsds_gn_2036-2040.nc</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
        "Loading \n",
        "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
-       "\u001b[35m86-2090/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_rsds_gn_2086-2090.nc\u001b[0m\n"
+       "\u001b[35m36-2040/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_rsds_gn_2036-2040.nc\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -625,13 +642,13 @@
       "text/html": [
        "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
        "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
-       "<span style=\"color: #800080; text-decoration-color: #800080\">91-2095/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_rsds_gn_2091-2095.nc</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">41-2045/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_rsds_gn_2041-2045.nc</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
        "Loading \n",
        "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
-       "\u001b[35m91-2095/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_rsds_gn_2091-2095.nc\u001b[0m\n"
+       "\u001b[35m41-2045/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_rsds_gn_2041-2045.nc\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -642,13 +659,13 @@
       "text/html": [
        "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
        "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
-       "<span style=\"color: #800080; text-decoration-color: #800080\">96-2099/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_rsds_gn_2096-2099.nc</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">46-2050/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_rsds_gn_2046-2050.nc</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
        "Loading \n",
        "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
-       "\u001b[35m96-2099/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_rsds_gn_2096-2099.nc\u001b[0m\n"
+       "\u001b[35m46-2050/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_rsds_gn_2046-2050.nc\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -659,13 +676,13 @@
       "text/html": [
        "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
        "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
-       "<span style=\"color: #800080; text-decoration-color: #800080\">75-2080/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_evspsblpot.nc</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">25-2030/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_evspsblpot.nc</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
        "Loading \n",
        "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
-       "\u001b[35m75-2080/work/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_evspsblpot.nc\u001b[0m\n"
+       "\u001b[35m25-2030/work/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_evspsblpot.nc\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -676,13 +693,13 @@
       "text/html": [
        "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
        "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
-       "<span style=\"color: #800080; text-decoration-color: #800080\">81-2085/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_evspsblpot.nc</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">31-2035/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_evspsblpot.nc</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
        "Loading \n",
        "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
-       "\u001b[35m81-2085/work/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_evspsblpot.nc\u001b[0m\n"
+       "\u001b[35m31-2035/work/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_evspsblpot.nc\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -693,13 +710,13 @@
       "text/html": [
        "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
        "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
-       "<span style=\"color: #800080; text-decoration-color: #800080\">86-2090/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_evspsblpot.nc</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">36-2040/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_evspsblpot.nc</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
        "Loading \n",
        "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
-       "\u001b[35m86-2090/work/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_evspsblpot.nc\u001b[0m\n"
+       "\u001b[35m36-2040/work/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_evspsblpot.nc\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -710,13 +727,13 @@
       "text/html": [
        "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
        "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
-       "<span style=\"color: #800080; text-decoration-color: #800080\">91-2095/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_evspsblpot.nc</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">41-2045/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_evspsblpot.nc</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
        "Loading \n",
        "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
-       "\u001b[35m91-2095/work/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_evspsblpot.nc\u001b[0m\n"
+       "\u001b[35m41-2045/work/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_evspsblpot.nc\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -727,13 +744,13 @@
       "text/html": [
        "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
        "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
-       "<span style=\"color: #800080; text-decoration-color: #800080\">96-2099/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_evspsblpot.nc</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">46-2050/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_evspsblpot.nc</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
        "Loading \n",
        "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
-       "\u001b[35m96-2099/work/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_evspsblpot.nc\u001b[0m\n"
+       "\u001b[35m46-2050/work/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_evspsblpot.nc\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -764,7 +781,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 122,
+   "execution_count": 57,
    "id": "e60b3316-e100-4af9-a36d-fad721ef6e02",
    "metadata": {},
    "outputs": [],
@@ -790,7 +807,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 123,
+   "execution_count": 58,
    "id": "10ff50bf-b6e7-4033-9682-3e25d01ecd26",
    "metadata": {},
    "outputs": [
@@ -798,34 +815,34 @@
      "data": {
       "text/html": [
        "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">LumpedMakkinkForcing</span><span style=\"font-weight: bold\">(</span>\n",
-       "    <span style=\"color: #808000; text-decoration-color: #808000\">start_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'2075-01-01T00:00:00Z'</span>,\n",
-       "    <span style=\"color: #808000; text-decoration-color: #808000\">end_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'2099-12-31T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">start_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'2025-01-01T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">end_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'2050-12-31T00:00:00Z'</span>,\n",
        "    <span style=\"color: #808000; text-decoration-color: #808000\">directory</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forci</span>\n",
-       "<span style=\"color: #008000; text-decoration-color: #008000\">ngs/CMIP6/ssp370/CMIP6-2075-2099'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "<span style=\"color: #008000; text-decoration-color: #008000\">ngs/CMIP6/ssp370/CMIP6-2025-2050'</span><span style=\"font-weight: bold\">)</span>,\n",
        "    <span style=\"color: #808000; text-decoration-color: #808000\">shape</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Shapefile</span>\n",
        "<span style=\"color: #008000; text-decoration-color: #008000\">s/07DA001_basin.shp'</span><span style=\"font-weight: bold\">)</span>,\n",
        "    <span style=\"color: #808000; text-decoration-color: #808000\">filenames</span>=<span style=\"font-weight: bold\">{</span>\n",
-       "        <span style=\"color: #008000; text-decoration-color: #008000\">'evspsblpot'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_2075_2099_evspsblpot.nc'</span>,\n",
-       "        <span style=\"color: #008000; text-decoration-color: #008000\">'pr'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_2075_2099_pr.nc'</span>,\n",
-       "        <span style=\"color: #008000; text-decoration-color: #008000\">'rsds'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_2075_2099_rsds.nc'</span>,\n",
-       "        <span style=\"color: #008000; text-decoration-color: #008000\">'tas'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_2075_2099_tas.nc'</span>\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'evspsblpot'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_2025_2050_evspsblpot.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'pr'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_2025_2050_pr.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'rsds'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_2025_2050_rsds.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'tas'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_2025_2050_tas.nc'</span>\n",
        "    <span style=\"font-weight: bold\">}</span>\n",
        "<span style=\"font-weight: bold\">)</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
        "\u001b[1;35mLumpedMakkinkForcing\u001b[0m\u001b[1m(\u001b[0m\n",
-       "    \u001b[33mstart_time\u001b[0m=\u001b[32m'2075-01-01T00:00:00Z'\u001b[0m,\n",
-       "    \u001b[33mend_time\u001b[0m=\u001b[32m'2099-12-31T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mstart_time\u001b[0m=\u001b[32m'2025-01-01T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mend_time\u001b[0m=\u001b[32m'2050-12-31T00:00:00Z'\u001b[0m,\n",
        "    \u001b[33mdirectory\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forci\u001b[0m\n",
-       "\u001b[32mngs/CMIP6/ssp370/CMIP6-2075-2099'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "\u001b[32mngs/CMIP6/ssp370/CMIP6-2025-2050'\u001b[0m\u001b[1m)\u001b[0m,\n",
        "    \u001b[33mshape\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Shapefile\u001b[0m\n",
        "\u001b[32ms/07DA001_basin.shp'\u001b[0m\u001b[1m)\u001b[0m,\n",
        "    \u001b[33mfilenames\u001b[0m=\u001b[1m{\u001b[0m\n",
-       "        \u001b[32m'evspsblpot'\u001b[0m: \u001b[32m'combined_CMIP6_2075_2099_evspsblpot.nc'\u001b[0m,\n",
-       "        \u001b[32m'pr'\u001b[0m: \u001b[32m'combined_CMIP6_2075_2099_pr.nc'\u001b[0m,\n",
-       "        \u001b[32m'rsds'\u001b[0m: \u001b[32m'combined_CMIP6_2075_2099_rsds.nc'\u001b[0m,\n",
-       "        \u001b[32m'tas'\u001b[0m: \u001b[32m'combined_CMIP6_2075_2099_tas.nc'\u001b[0m\n",
+       "        \u001b[32m'evspsblpot'\u001b[0m: \u001b[32m'combined_CMIP6_2025_2050_evspsblpot.nc'\u001b[0m,\n",
+       "        \u001b[32m'pr'\u001b[0m: \u001b[32m'combined_CMIP6_2025_2050_pr.nc'\u001b[0m,\n",
+       "        \u001b[32m'rsds'\u001b[0m: \u001b[32m'combined_CMIP6_2025_2050_rsds.nc'\u001b[0m,\n",
+       "        \u001b[32m'tas'\u001b[0m: \u001b[32m'combined_CMIP6_2025_2050_tas.nc'\u001b[0m\n",
        "    \u001b[1m}\u001b[0m\n",
        "\u001b[1m)\u001b[0m\n"
       ]
@@ -846,6 +863,30 @@
    "metadata": {},
    "outputs": [],
    "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a8771eeb-24fc-4030-a653-1bafbfd45aec",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "eb1f2d7f-6efb-4d2c-a892-45d5792a5ede",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6cb15558-ec6b-4d6c-b1fc-8a8843b617db",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step1_ERA5_Forcings_Generation.ipynb b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step1_ERA5_Forcings_Generation.ipynb
index 5b74f681..f50dabf5 100644
--- a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step1_ERA5_Forcings_Generation.ipynb
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step1_ERA5_Forcings_Generation.ipynb
@@ -20,7 +20,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 18,
    "id": "7ef3318e-968e-418e-bf4c-a8936aade9a5",
    "metadata": {},
    "outputs": [],
@@ -43,7 +43,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 19,
    "id": "f7ff029b-ee4b-4fe2-b5d5-bf768b626989",
    "metadata": {},
    "outputs": [],
@@ -56,7 +56,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 20,
    "id": "cc4de849-39a5-40e6-9f4a-865da369e8b2",
    "metadata": {},
    "outputs": [
@@ -118,18 +118,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 21,
    "id": "b2343410-2713-4089-ae42-dad37b457c41",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">ERA5-2019-2021</span>\n",
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">ERA5-1989-1994</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
-       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/\u001b[0m\u001b[95mERA5-2019-2021\u001b[0m\n"
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/\u001b[0m\u001b[95mERA5-1989-1994\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -138,11 +138,11 @@
     {
      "data": {
       "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2019</span>\n",
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1989</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
-       "\u001b[1;36m2019\u001b[0m\n"
+       "\u001b[1;36m1989\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -151,11 +151,11 @@
     {
      "data": {
       "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2024</span>\n",
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2014</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
-       "\u001b[1;36m2024\u001b[0m\n"
+       "\u001b[1;36m2014\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -184,9 +184,9 @@
     "#     [2021, 2024]]\n",
     "\n",
     "# For validation 2:\n",
-    "periods = [\n",
-    "    [2019, 2022],\n",
-    "    [2021, 2024]]\n",
+    "# periods = [\n",
+    "#     [2019, 2022],\n",
+    "#     [2021, 2024]]\n",
     "\n",
     "# For CMIP trial:\n",
     "# periods = [\n",
@@ -198,6 +198,10 @@
     "#     [1970, 1975, 1980, 1985, 1990, 1995],\n",
     "#     [1974, 1979, 1984, 1989, 1994, 1999]]\n",
     "\n",
+    "periods = [\n",
+    "    [1989, 1995, 2000, 2005, 2010],\n",
+    "    [1994, 1999, 2004, 2009, 2014]]\n",
+    "\n",
     "folder_names = []\n",
     "forcing_paths = {}\n",
     "\n",
@@ -235,18 +239,57 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 22,
    "id": "cbc7b2b6-88ee-4e7f-b37c-39eaf878c075",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Finished ERA5-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2019</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2021</span>\n",
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Finished ERA5-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1989</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1994</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Finished ERA5-\u001b[1;36m1989\u001b[0m-\u001b[1;36m1994\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Skipping ERA5-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1995</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1999</span> because the folder is not empty.\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Skipping ERA5-\u001b[1;36m1995\u001b[0m-\u001b[1;36m1999\u001b[0m because the folder is not empty.\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Skipping ERA5-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2000</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2004</span> because the folder is not empty.\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Skipping ERA5-\u001b[1;36m2000\u001b[0m-\u001b[1;36m2004\u001b[0m because the folder is not empty.\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Skipping ERA5-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2005</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2009</span> because the folder is not empty.\n",
        "</pre>\n"
       ],
       "text/plain": [
-       "Finished ERA5-\u001b[1;36m2019\u001b[0m-\u001b[1;36m2021\u001b[0m\n"
+       "Skipping ERA5-\u001b[1;36m2005\u001b[0m-\u001b[1;36m2009\u001b[0m because the folder is not empty.\n"
       ]
      },
      "metadata": {},
@@ -255,11 +298,11 @@
     {
      "data": {
       "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Finished ERA5-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2022</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2024</span>\n",
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Skipping ERA5-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2010</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2014</span> because the folder is not empty.\n",
        "</pre>\n"
       ],
       "text/plain": [
-       "Finished ERA5-\u001b[1;36m2022\u001b[0m-\u001b[1;36m2024\u001b[0m\n"
+       "Skipping ERA5-\u001b[1;36m2010\u001b[0m-\u001b[1;36m2014\u001b[0m because the folder is not empty.\n"
       ]
      },
      "metadata": {},
@@ -305,18 +348,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 23,
    "id": "f8e8ac64-fee5-4602-a1f1-90b8fb14c2b2",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">[</span><span style=\"color: #008000; text-decoration-color: #008000\">'ERA5-2019-2021'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'ERA5-2022-2024'</span><span style=\"font-weight: bold\">]</span>\n",
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">[</span><span style=\"color: #008000; text-decoration-color: #008000\">'ERA5-1989-1994'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'ERA5-1995-1999'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'ERA5-2000-2004'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'ERA5-2005-2009'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'ERA5-2010-2014'</span><span style=\"font-weight: bold\">]</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
-       "\u001b[1m[\u001b[0m\u001b[32m'ERA5-2019-2021'\u001b[0m, \u001b[32m'ERA5-2022-2024'\u001b[0m\u001b[1m]\u001b[0m\n"
+       "\u001b[1m[\u001b[0m\u001b[32m'ERA5-1989-1994'\u001b[0m, \u001b[32m'ERA5-1995-1999'\u001b[0m, \u001b[32m'ERA5-2000-2004'\u001b[0m, \u001b[32m'ERA5-2005-2009'\u001b[0m, \u001b[32m'ERA5-2010-2014'\u001b[0m\u001b[1m]\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -325,10 +368,10 @@
     {
      "data": {
       "text/plain": [
-       "LumpedMakkinkForcing(start_time='2019-01-01T00:00:00Z', end_time='2021-12-31T00:00:00Z', directory=PosixPath('/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2019-2021/work/diagnostic/script'), shape=PosixPath('/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2019-2021/work/diagnostic/script/07DA001_basin.shp'), filenames={'pr': 'OBS6_ERA5_reanaly_1_day_pr_2019-2021.nc', 'tas': 'OBS6_ERA5_reanaly_1_day_tas_2019-2021.nc', 'rsds': 'OBS6_ERA5_reanaly_1_day_rsds_2019-2021.nc', 'evspsblpot': 'Derived_Makkink_evspsblpot.nc'})"
+       "LumpedMakkinkForcing(start_time='1989-01-01T00:00:00Z', end_time='1994-12-31T00:00:00Z', directory=PosixPath('/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-1989-1994/work/diagnostic/script'), shape=PosixPath('/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-1989-1994/work/diagnostic/script/07DA001_basin.shp'), filenames={'pr': 'OBS6_ERA5_reanaly_1_day_pr_1989-1994.nc', 'tas': 'OBS6_ERA5_reanaly_1_day_tas_1989-1994.nc', 'rsds': 'OBS6_ERA5_reanaly_1_day_rsds_1989-1994.nc', 'evspsblpot': 'Derived_Makkink_evspsblpot.nc'})"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 23,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -358,7 +401,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 24,
    "id": "1cb12aa2-4b4c-4108-a5c9-2d8156cdecfe",
    "metadata": {},
    "outputs": [],
@@ -386,7 +429,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 25,
    "id": "b21fe2e4-478a-4e0b-9f1f-a40316e22018",
    "metadata": {},
    "outputs": [
@@ -394,14 +437,201 @@
      "data": {
       "text/html": [
        "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
-       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2019-2021/w</span>\n",
-       "<span style=\"color: #800080; text-decoration-color: #800080\">ork/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_pr_2019-2021.nc</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-1989-1994/w</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">ork/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_pr_1989-1994.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-1989-1994/w\u001b[0m\n",
+       "\u001b[35mork/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_pr_1989-1994.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-1995-1999/w</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">ork/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_pr_1995-1999.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-1995-1999/w\u001b[0m\n",
+       "\u001b[35mork/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_pr_1995-1999.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2000-2004/w</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">ork/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_pr_2000-2004.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2000-2004/w\u001b[0m\n",
+       "\u001b[35mork/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_pr_2000-2004.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2005-2009/w</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">ork/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_pr_2005-2009.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2005-2009/w\u001b[0m\n",
+       "\u001b[35mork/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_pr_2005-2009.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2010-2014/w</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">ork/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_pr_2010-2014.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2010-2014/w\u001b[0m\n",
+       "\u001b[35mork/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_pr_2010-2014.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-1989-1994/w</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">ork/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_tas_1989-1994.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-1989-1994/w\u001b[0m\n",
+       "\u001b[35mork/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_tas_1989-1994.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-1995-1999/w</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">ork/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_tas_1995-1999.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-1995-1999/w\u001b[0m\n",
+       "\u001b[35mork/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_tas_1995-1999.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2000-2004/w</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">ork/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_tas_2000-2004.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2000-2004/w\u001b[0m\n",
+       "\u001b[35mork/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_tas_2000-2004.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2005-2009/w</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">ork/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_tas_2005-2009.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2005-2009/w\u001b[0m\n",
+       "\u001b[35mork/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_tas_2005-2009.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2010-2014/w</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">ork/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_tas_2010-2014.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2010-2014/w\u001b[0m\n",
+       "\u001b[35mork/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_tas_2010-2014.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-1989-1994/w</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">ork/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_rsds_1989-1994.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-1989-1994/w\u001b[0m\n",
+       "\u001b[35mork/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_rsds_1989-1994.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-1995-1999/w</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">ork/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_rsds_1995-1999.nc</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
        "Loading \n",
-       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2019-2021/w\u001b[0m\n",
-       "\u001b[35mork/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_pr_2019-2021.nc\u001b[0m\n"
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-1995-1999/w\u001b[0m\n",
+       "\u001b[35mork/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_rsds_1995-1999.nc\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -411,14 +641,14 @@
      "data": {
       "text/html": [
        "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
-       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2022-2024/w</span>\n",
-       "<span style=\"color: #800080; text-decoration-color: #800080\">ork/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_pr_2022-2024.nc</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2000-2004/w</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">ork/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_rsds_2000-2004.nc</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
        "Loading \n",
-       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2022-2024/w\u001b[0m\n",
-       "\u001b[35mork/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_pr_2022-2024.nc\u001b[0m\n"
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2000-2004/w\u001b[0m\n",
+       "\u001b[35mork/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_rsds_2000-2004.nc\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -428,14 +658,14 @@
      "data": {
       "text/html": [
        "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
-       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2019-2021/w</span>\n",
-       "<span style=\"color: #800080; text-decoration-color: #800080\">ork/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_tas_2019-2021.nc</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2005-2009/w</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">ork/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_rsds_2005-2009.nc</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
        "Loading \n",
-       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2019-2021/w\u001b[0m\n",
-       "\u001b[35mork/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_tas_2019-2021.nc\u001b[0m\n"
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2005-2009/w\u001b[0m\n",
+       "\u001b[35mork/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_rsds_2005-2009.nc\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -445,14 +675,14 @@
      "data": {
       "text/html": [
        "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
-       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2022-2024/w</span>\n",
-       "<span style=\"color: #800080; text-decoration-color: #800080\">ork/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_tas_2022-2024.nc</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2010-2014/w</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">ork/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_rsds_2010-2014.nc</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
        "Loading \n",
-       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2022-2024/w\u001b[0m\n",
-       "\u001b[35mork/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_tas_2022-2024.nc\u001b[0m\n"
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2010-2014/w\u001b[0m\n",
+       "\u001b[35mork/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_rsds_2010-2014.nc\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -462,14 +692,14 @@
      "data": {
       "text/html": [
        "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
-       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2019-2021/w</span>\n",
-       "<span style=\"color: #800080; text-decoration-color: #800080\">ork/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_rsds_2019-2021.nc</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-1989-1994/w</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">ork/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_evspsblpot.nc</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
        "Loading \n",
-       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2019-2021/w\u001b[0m\n",
-       "\u001b[35mork/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_rsds_2019-2021.nc\u001b[0m\n"
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-1989-1994/w\u001b[0m\n",
+       "\u001b[35mork/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_evspsblpot.nc\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -479,14 +709,31 @@
      "data": {
       "text/html": [
        "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
-       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2022-2024/w</span>\n",
-       "<span style=\"color: #800080; text-decoration-color: #800080\">ork/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_rsds_2022-2024.nc</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-1995-1999/w</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">ork/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_evspsblpot.nc</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
        "Loading \n",
-       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2022-2024/w\u001b[0m\n",
-       "\u001b[35mork/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_rsds_2022-2024.nc\u001b[0m\n"
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-1995-1999/w\u001b[0m\n",
+       "\u001b[35mork/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_evspsblpot.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2000-2004/w</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">ork/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_evspsblpot.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2000-2004/w\u001b[0m\n",
+       "\u001b[35mork/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_evspsblpot.nc\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -496,13 +743,13 @@
      "data": {
       "text/html": [
        "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
-       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2019-2021/w</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2005-2009/w</span>\n",
        "<span style=\"color: #800080; text-decoration-color: #800080\">ork/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_evspsblpot.nc</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
        "Loading \n",
-       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2019-2021/w\u001b[0m\n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2005-2009/w\u001b[0m\n",
        "\u001b[35mork/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_evspsblpot.nc\u001b[0m\n"
       ]
      },
@@ -513,13 +760,13 @@
      "data": {
       "text/html": [
        "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
-       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2022-2024/w</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2010-2014/w</span>\n",
        "<span style=\"color: #800080; text-decoration-color: #800080\">ork/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_evspsblpot.nc</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
        "Loading \n",
-       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2022-2024/w\u001b[0m\n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2010-2014/w\u001b[0m\n",
        "\u001b[35mork/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_evspsblpot.nc\u001b[0m\n"
       ]
      },
@@ -551,7 +798,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 26,
    "id": "e60b3316-e100-4af9-a36d-fad721ef6e02",
    "metadata": {},
    "outputs": [],
@@ -576,7 +823,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 27,
    "id": "10ff50bf-b6e7-4033-9682-3e25d01ecd26",
    "metadata": {},
    "outputs": [
@@ -584,34 +831,34 @@
      "data": {
       "text/html": [
        "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">LumpedMakkinkForcing</span><span style=\"font-weight: bold\">(</span>\n",
-       "    <span style=\"color: #808000; text-decoration-color: #808000\">start_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'2019-01-01T00:00:00Z'</span>,\n",
-       "    <span style=\"color: #808000; text-decoration-color: #808000\">end_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'2024-12-31T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">start_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'1989-01-01T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">end_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'2014-12-31T00:00:00Z'</span>,\n",
        "    <span style=\"color: #808000; text-decoration-color: #808000\">directory</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forci</span>\n",
-       "<span style=\"color: #008000; text-decoration-color: #008000\">ngs/ERA5/ERA5-2019-2024'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "<span style=\"color: #008000; text-decoration-color: #008000\">ngs/ERA5/ERA5-1989-2014'</span><span style=\"font-weight: bold\">)</span>,\n",
        "    <span style=\"color: #808000; text-decoration-color: #808000\">shape</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Shapefile</span>\n",
        "<span style=\"color: #008000; text-decoration-color: #008000\">s/07DA001_basin.shp'</span><span style=\"font-weight: bold\">)</span>,\n",
        "    <span style=\"color: #808000; text-decoration-color: #808000\">filenames</span>=<span style=\"font-weight: bold\">{</span>\n",
-       "        <span style=\"color: #008000; text-decoration-color: #008000\">'evspsblpot'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_2019_2024_evspsblpot.nc'</span>,\n",
-       "        <span style=\"color: #008000; text-decoration-color: #008000\">'pr'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_2019_2024_pr.nc'</span>,\n",
-       "        <span style=\"color: #008000; text-decoration-color: #008000\">'rsds'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_2019_2024_rsds.nc'</span>,\n",
-       "        <span style=\"color: #008000; text-decoration-color: #008000\">'tas'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_2019_2024_tas.nc'</span>\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'evspsblpot'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1989_2014_evspsblpot.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'pr'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1989_2014_pr.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'rsds'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1989_2014_rsds.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'tas'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1989_2014_tas.nc'</span>\n",
        "    <span style=\"font-weight: bold\">}</span>\n",
        "<span style=\"font-weight: bold\">)</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
        "\u001b[1;35mLumpedMakkinkForcing\u001b[0m\u001b[1m(\u001b[0m\n",
-       "    \u001b[33mstart_time\u001b[0m=\u001b[32m'2019-01-01T00:00:00Z'\u001b[0m,\n",
-       "    \u001b[33mend_time\u001b[0m=\u001b[32m'2024-12-31T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mstart_time\u001b[0m=\u001b[32m'1989-01-01T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mend_time\u001b[0m=\u001b[32m'2014-12-31T00:00:00Z'\u001b[0m,\n",
        "    \u001b[33mdirectory\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forci\u001b[0m\n",
-       "\u001b[32mngs/ERA5/ERA5-2019-2024'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "\u001b[32mngs/ERA5/ERA5-1989-2014'\u001b[0m\u001b[1m)\u001b[0m,\n",
        "    \u001b[33mshape\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Shapefile\u001b[0m\n",
        "\u001b[32ms/07DA001_basin.shp'\u001b[0m\u001b[1m)\u001b[0m,\n",
        "    \u001b[33mfilenames\u001b[0m=\u001b[1m{\u001b[0m\n",
-       "        \u001b[32m'evspsblpot'\u001b[0m: \u001b[32m'combined_ERA5_2019_2024_evspsblpot.nc'\u001b[0m,\n",
-       "        \u001b[32m'pr'\u001b[0m: \u001b[32m'combined_ERA5_2019_2024_pr.nc'\u001b[0m,\n",
-       "        \u001b[32m'rsds'\u001b[0m: \u001b[32m'combined_ERA5_2019_2024_rsds.nc'\u001b[0m,\n",
-       "        \u001b[32m'tas'\u001b[0m: \u001b[32m'combined_ERA5_2019_2024_tas.nc'\u001b[0m\n",
+       "        \u001b[32m'evspsblpot'\u001b[0m: \u001b[32m'combined_ERA5_1989_2014_evspsblpot.nc'\u001b[0m,\n",
+       "        \u001b[32m'pr'\u001b[0m: \u001b[32m'combined_ERA5_1989_2014_pr.nc'\u001b[0m,\n",
+       "        \u001b[32m'rsds'\u001b[0m: \u001b[32m'combined_ERA5_1989_2014_rsds.nc'\u001b[0m,\n",
+       "        \u001b[32m'tas'\u001b[0m: \u001b[32m'combined_ERA5_1989_2014_tas.nc'\u001b[0m\n",
        "    \u001b[1m}\u001b[0m\n",
        "\u001b[1m)\u001b[0m\n"
       ]
diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step2_Algorithm_Ice.ipynb b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step2_Algorithm_Ice.ipynb
index df6cd4f0..7e927ad9 100644
--- a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step2_Algorithm_Ice.ipynb
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step2_Algorithm_Ice.ipynb
@@ -10,7 +10,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 1,
    "id": "bb67d97e-8317-4b2f-be8e-c8ac9f45f196",
    "metadata": {},
    "outputs": [],
@@ -31,7 +31,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 2,
    "id": "862f09e2-4350-4eb5-8bdc-d865a99076eb",
    "metadata": {},
    "outputs": [],
@@ -44,15 +44,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 18,
    "id": "4c68de36-ea9f-43be-aa9e-13fdd7b4a3ab",
    "metadata": {},
    "outputs": [],
    "source": [
     "# Defining time period & q_critical\n",
     "\n",
-    "experiment_start_date = \"2014-01-01T00:00:00Z\"\n",
-    "experiment_end_date = \"2014-12-31T00:00:00Z\"\n",
+    "experiment_start_date = \"1970-01-01T00:00:00Z\"\n",
+    "experiment_end_date = \"2024-12-31T00:00:00Z\"\n",
     "\n",
     "q_critical = 500\n",
     "\n",
@@ -62,22 +62,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
-   "id": "c2d00787-45c7-4f63-8641-5f1f5f67127e",
+   "execution_count": 30,
+   "id": "bf6b9b66-876f-40da-8862-bd742448d87f",
    "metadata": {},
    "outputs": [],
    "source": [
     "# Loading in data\n",
     "\n",
-    "forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"ERA5-1970-2024\"\n",
+    "forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"forcings\" / \"ERA5\" / \"ERA5-1970-2024\"\n",
     "forcing_path_ERA5.mkdir(exist_ok=True, parents=True)\n",
     "\n",
-    "discharge_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
+    "discharge_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
     "\n",
-    "shape_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "shape_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
     "\n",
-    "calibration_temp = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"calibration_temp\"\n",
-    "calibration_temp.mkdir(parents=True, exist_ok=True)\n",
+    "hbv_config = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"hbv_config\"\n",
+    "hbv_config.mkdir(parents=True, exist_ok=True)\n",
     "\n",
     "# Load CSV discharge 07DA001\n",
     "q_obs = pd.read_csv(discharge_file, skiprows=1)\n",
@@ -88,27 +88,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "bf6b9b66-876f-40da-8862-bd742448d87f",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# # Loading in data\n",
-    "\n",
-    "# forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"forcings\" / \"ERA5-1970-2024\"\n",
-    "# forcing_path_ERA5.mkdir(exist_ok=True, parents=True)\n",
-    "\n",
-    "# discharge_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
-    "\n",
-    "# shape_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
-    "\n",
-    "# calibration_temp = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"calibration_temp\"\n",
-    "# calibration_temp.mkdir(parents=True, exist_ok=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 31,
    "id": "b40fb132-370d-4584-b198-4a789d02abc8",
    "metadata": {},
    "outputs": [
@@ -139,29 +119,29 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>20367</th>\n",
-       "      <td>2014-01-01</td>\n",
-       "      <td>177.0</td>\n",
+       "      <th>14888</th>\n",
+       "      <td>1999-01-01</td>\n",
+       "      <td>104.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>20368</th>\n",
-       "      <td>2014-01-02</td>\n",
-       "      <td>188.0</td>\n",
+       "      <th>14889</th>\n",
+       "      <td>1999-01-02</td>\n",
+       "      <td>103.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>20369</th>\n",
-       "      <td>2014-01-03</td>\n",
-       "      <td>198.0</td>\n",
+       "      <th>14890</th>\n",
+       "      <td>1999-01-03</td>\n",
+       "      <td>101.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>20370</th>\n",
-       "      <td>2014-01-04</td>\n",
-       "      <td>204.0</td>\n",
+       "      <th>14891</th>\n",
+       "      <td>1999-01-04</td>\n",
+       "      <td>103.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>20371</th>\n",
-       "      <td>2014-01-05</td>\n",
-       "      <td>208.0</td>\n",
+       "      <th>14892</th>\n",
+       "      <td>1999-01-05</td>\n",
+       "      <td>105.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -169,14 +149,14 @@
       ],
       "text/plain": [
        "            Date  discharge_m3s\n",
-       "20367 2014-01-01          177.0\n",
-       "20368 2014-01-02          188.0\n",
-       "20369 2014-01-03          198.0\n",
-       "20370 2014-01-04          204.0\n",
-       "20371 2014-01-05          208.0"
+       "14888 1999-01-01          104.0\n",
+       "14889 1999-01-02          103.0\n",
+       "14890 1999-01-03          101.0\n",
+       "14891 1999-01-04          103.0\n",
+       "14892 1999-01-05          105.0"
       ]
      },
-     "execution_count": 23,
+     "execution_count": 31,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -189,21 +169,20 @@
     "\n",
     "q_obs = q_obs[\n",
     "    (q_obs[\"Date\"] >= start_date) &\n",
-    "    (q_obs[\"Date\"] <= end_date)\n",
-    "].copy()\n",
+    "    (q_obs[\"Date\"] <= end_date)].copy()\n",
     "\n",
     "q_obs.head()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 49,
    "id": "eb8f1766-b180-4486-9cec-6539c086eb7f",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 1200x500 with 1 Axes>"
       ]
@@ -222,12 +201,7 @@
     "plt.ylabel(\"Discharge (m³/s)\")\n",
     "plt.title(\"Observed daily discharge at 07DA001\")\n",
     "\n",
-    "plt.axhline(\n",
-    "    y=q_critical,\n",
-    "    linestyle=\":\",\n",
-    "    label=f\"Critical discharge ({q_critical} m³/s)\",\n",
-    "    color='black'\n",
-    ")\n",
+    "plt.axhline(y=q_critical, linestyle=\":\", label=f\"Critical discharge ({q_critical} m³/s)\", color='black')\n",
     "\n",
     "plt.legend()\n",
     "plt.show()"
@@ -249,44 +223,17 @@
     "## Start of range (freshet)"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "id": "504d4401-3712-406b-b9ef-884db8702c28",
-   "metadata": {},
-   "source": [
-    "### Idea 1: Rate of change\n",
-    "\n",
-    "gemiddelde dQ over 5 dagen periode moet groter zijn dan 15 m^3/s increase per dag voor consecutive dagen \n",
-    "& Q > Q_kritisch"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "id": "204f6612-01b4-43c5-aff4-d345817047d9",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# # Define dQ\n",
-    "\n",
-    "# dQ = Q_today - Q_yesterday\n",
-    "\n",
-    "# dQ over 5 dagen periode moet groter zijn dan x m^3/s increase per dag voor consecutive dagen \n",
-    "# & Q > q_kritisch\n",
-    "\n"
-   ]
-  },
   {
    "cell_type": "markdown",
    "id": "dc8791fb-3dac-425a-b5bd-45cdb8a0331f",
    "metadata": {},
    "source": [
-    "### Idea 2: Q_critical "
+    "### Idea 1: Q_critical "
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 33,
    "id": "727e107a-465a-4947-ba90-494ec323a262",
    "metadata": {},
    "outputs": [
@@ -319,20 +266,160 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
+       "      <td>1999</td>\n",
+       "      <td>1999-04-20</td>\n",
+       "      <td>823.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2000</td>\n",
+       "      <td>2000-05-17</td>\n",
+       "      <td>561.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2001</td>\n",
+       "      <td>2001-05-04</td>\n",
+       "      <td>510.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2002</td>\n",
+       "      <td>2002-05-07</td>\n",
+       "      <td>600.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2003</td>\n",
+       "      <td>2003-04-26</td>\n",
+       "      <td>600.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>2004</td>\n",
+       "      <td>2004-04-14</td>\n",
+       "      <td>533.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>2005</td>\n",
+       "      <td>2005-04-10</td>\n",
+       "      <td>570.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>2006</td>\n",
+       "      <td>2006-04-15</td>\n",
+       "      <td>591.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>2007</td>\n",
+       "      <td>2007-04-20</td>\n",
+       "      <td>1200.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>2008</td>\n",
+       "      <td>2008-05-01</td>\n",
+       "      <td>520.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>2009</td>\n",
+       "      <td>2009-04-20</td>\n",
+       "      <td>560.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>2010</td>\n",
+       "      <td>2010-04-21</td>\n",
+       "      <td>525.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>2011</td>\n",
+       "      <td>2011-04-26</td>\n",
+       "      <td>512.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>2012</td>\n",
+       "      <td>2012-04-20</td>\n",
+       "      <td>520.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>2013</td>\n",
+       "      <td>2013-05-01</td>\n",
+       "      <td>523.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
        "      <td>2014</td>\n",
        "      <td>2014-04-23</td>\n",
        "      <td>506.0</td>\n",
        "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>2015</td>\n",
+       "      <td>2015-04-07</td>\n",
+       "      <td>719.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>2016</td>\n",
+       "      <td>2016-04-29</td>\n",
+       "      <td>502.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>2017</td>\n",
+       "      <td>2017-04-16</td>\n",
+       "      <td>518.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>2018</td>\n",
+       "      <td>2018-04-26</td>\n",
+       "      <td>555.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>2019</td>\n",
+       "      <td>2019-04-01</td>\n",
+       "      <td>503.0</td>\n",
+       "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "   year first_above_critical_date  discharge_m3s\n",
-       "0  2014                2014-04-23          506.0"
+       "    year first_above_critical_date  discharge_m3s\n",
+       "0   1999                1999-04-20          823.0\n",
+       "1   2000                2000-05-17          561.0\n",
+       "2   2001                2001-05-04          510.0\n",
+       "3   2002                2002-05-07          600.0\n",
+       "4   2003                2003-04-26          600.0\n",
+       "5   2004                2004-04-14          533.0\n",
+       "6   2005                2005-04-10          570.0\n",
+       "7   2006                2006-04-15          591.0\n",
+       "8   2007                2007-04-20         1200.0\n",
+       "9   2008                2008-05-01          520.0\n",
+       "10  2009                2009-04-20          560.0\n",
+       "11  2010                2010-04-21          525.0\n",
+       "12  2011                2011-04-26          512.0\n",
+       "13  2012                2012-04-20          520.0\n",
+       "14  2013                2013-05-01          523.0\n",
+       "15  2014                2014-04-23          506.0\n",
+       "16  2015                2015-04-07          719.0\n",
+       "17  2016                2016-04-29          502.0\n",
+       "18  2017                2017-04-16          518.0\n",
+       "19  2018                2018-04-26          555.0\n",
+       "20  2019                2019-04-01          503.0"
       ]
      },
-     "execution_count": 26,
+     "execution_count": 33,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -351,8 +438,7 @@
     "    # Identify first day where q > q_critical\n",
     "    \n",
     "    above_critical = season_data[\n",
-    "        season_data[\"discharge_m3s\"] > q_critical\n",
-    "    ]\n",
+    "        season_data[\"discharge_m3s\"] > q_critical]\n",
     "    \n",
     "    if len(above_critical) > 0:\n",
     "        first_day = above_critical.iloc[0]\n",
@@ -360,14 +446,7 @@
     "        freshet_start_date.append({\n",
     "            \"year\": year,\n",
     "            \"first_above_critical_date\": first_day[\"Date\"],\n",
-    "            \"discharge_m3s\": first_day[\"discharge_m3s\"]\n",
-    "        })\n",
-    "    else:\n",
-    "        freshet_start_date.append({\n",
-    "            \"year\": year,\n",
-    "            \"first_above_critical_date\": pd.NaT,\n",
-    "            \"discharge_m3s\": None\n",
-    "        })\n",
+    "            \"discharge_m3s\": first_day[\"discharge_m3s\"]})\n",
     "\n",
     "freshet_start_date = pd.DataFrame(freshet_start_date)\n",
     "\n",
@@ -376,13 +455,56 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 50,
    "id": "e20e293c-245d-47da-9b45-1c9675f989f4",
    "metadata": {},
+   "outputs": [],
+   "source": [
+    "def plot_discharge_for_year(q_obs, freshet_start_date, q_critical, selected_year):\n",
+    "\n",
+    "    # Define plotting period to selected year\n",
+    "    start_date = f\"{selected_year}-01-01\"\n",
+    "    end_date = f\"{selected_year}-12-31\"\n",
+    "\n",
+    "    # Adjust q_obs and freshet_start_date to fit plotting period\n",
+    "    q_obs_year = q_obs[\n",
+    "        (q_obs[\"Date\"] >= start_date) &\n",
+    "        (q_obs[\"Date\"] <= end_date)]\n",
+    "\n",
+    "    freshet_year = freshet_start_date[\n",
+    "        (freshet_start_date[\"first_above_critical_date\"] >= start_date) &\n",
+    "        (freshet_start_date[\"first_above_critical_date\"] <= end_date)]\n",
+    "\n",
+    "    # Start figure\n",
+    "    plt.figure(figsize=(12, 5))\n",
+    "\n",
+    "    # Plot q_obs\n",
+    "    plt.plot(q_obs_year[\"Date\"], q_obs_year[\"discharge_m3s\"], label=\"Observed discharge\")\n",
+    "\n",
+    "    # Plot q_critical\n",
+    "    plt.axhline(y=q_critical, linestyle=\":\", label=f\"Critical discharge ({q_critical} m³/s)\", color=\"black\")\n",
+    "\n",
+    "    # Plot when q_critical is reached\n",
+    "    for date in freshet_year[\"first_above_critical_date\"].dropna():\n",
+    "        plt.axvline(x=date, linestyle=':', color='orange', label='Start navigable season')\n",
+    "\n",
+    "    plt.xlabel(\"Date\")\n",
+    "    plt.ylabel(\"Discharge (m³/s)\")\n",
+    "    plt.title(f\"Observed daily discharge at 07DA001 in {selected_year}\")\n",
+    "\n",
+    "    plt.legend()\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "id": "356ed65e-463c-486b-ac4a-a0d9c44cbfda",
+   "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 1200x500 with 1 Axes>"
       ]
@@ -392,43 +514,20 @@
     }
    ],
    "source": [
-    "# Plot q_obs\n",
-    "\n",
-    "plt.figure(figsize=(12, 5))\n",
-    "plt.plot(q_obs[\"Date\"], q_obs[\"discharge_m3s\"], label='Observed discharge')\n",
-    "\n",
-    "plt.xlabel(\"Date\")\n",
-    "plt.ylabel(\"Discharge (m³/s)\")\n",
-    "plt.title(\"Observed daily discharge at 07DA001\")\n",
+    "selected_year = 2014\n",
     "\n",
-    "plt.axhline(\n",
-    "    y=q_critical,\n",
-    "    linestyle=\":\",\n",
-    "    label=f\"Critical discharge ({q_critical} m³/s)\",\n",
-    "    color='black'\n",
-    "    )\n",
-    "\n",
-    "for date in freshet_start_date[\"first_above_critical_date\"].dropna():\n",
-    "    plt.axvline(\n",
-    "        x=date,\n",
-    "        linestyle=':',\n",
-    "        color='orange',\n",
-    "        label='Start navigable season'\n",
-    "    )\n",
-    "        \n",
-    "plt.legend()\n",
-    "plt.show()"
+    "plot_discharge_for_year(q_obs, freshet_start_date, q_critical, selected_year)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 35,
    "id": "39bd4c7f-1a15-464d-bddd-6c3e05088566",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 1000x500 with 1 Axes>"
       ]
@@ -457,8 +556,7 @@
     "     125, 130, 135, 140, 145, 150],\n",
     "    [\"Mar 1\", \"Mar 6\", \"Mar 11\", \"Mar 16\", \"Mar 21\", \"Mar 26\", \"Mar 31\",\n",
     "     \"Apr 5\", \"Apr 10\", \"Apr 15\", \"Apr 20\", \"Apr 25\", \"Apr 30\",\n",
-    "     \"May 5\", \"May 10\", \"May 15\", \"May 20\", \"May 25\", \"May 30\"],\n",
-    ")\n",
+    "     \"May 5\", \"May 10\", \"May 15\", \"May 20\", \"May 25\", \"May 30\"],)\n",
     "\n",
     "# Automate x-axis range to fit data\n",
     "plt.xlim((freshet_start_date[\"day_of_year\"].min()-1), (freshet_start_date[\"day_of_year\"].max()+1))\n",
@@ -468,13 +566,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 36,
    "id": "1bf87b1f-7a42-4819-af63-2dc95649c8fb",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA04AAAHxCAYAAABao+wIAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8fJSN1AAAACXBIWXMAAA9hAAAPYQGoP6dpAABJ20lEQVR4nO3de3zP9f//8ft7Z7MDG8Y025zHco6Qw3ImUWRFhqgUH2ey+nwwlUWf5JMc8nXuo0KpJGFFiMq5PlgqpxWbw8QwZofX7w+XvX+9bfN6v2vzHm7Xy2WXS6/n+/l6vR6v1/s17f5+PV/Pt8UwDEMAAAAAgAK5OLsAAAAAACjuCE4AAAAAYILgBAAAAAAmCE4AAAAAYILgBAAAAAAmCE4AAAAAYILgBAAAAAAmCE4AAAAAYILgBAAAAAAmCE4AtHjxYlkslnx/xowZo2PHjslisWjx4sWFts/Zs2cXyvYsFosmTZrk8HonT57UpEmTtG/fvr9dgz3yO4eTJk2SxWIpkv1ZLBYNHTq0SLaNwpf7O3js2DFnl6LWrVurdevW1uX09HRNmjRJX3/9dZ6+RV33119/LYvFku++/+zgwYOaNGlSvnW0bt1akZGRRVLfX1EU9dj772Bxus6A25GbswsAUHwsWrRINWvWtGkLDg5WUFCQvv32W1WpUqXQ9jV79myVKVNG/fv3L7RtOuLkyZOKi4tTWFiY6tWr55QaBg0apI4dOzpl30BBZs+ebbOcnp6uuLg4SbIJVJLUpUsXffvtt6pQocKtKi9fBw8eVFxcnFq3bq2wsDCn1gLgzkVwAmAVGRmpRo0a5fva/fffb7p+enq6vL29C7usO9Y999yje+65x9ll/GWZmZmyWCxyc+N/JXeC3N/fWrVq2b1O2bJlVbZs2SKsyrm4xgH8GUP1AJi62TCzPXv2qGfPnipdurT1jtSRI0f0+OOPKzg4WJ6engoKClKbNm2sw+LCwsJ04MABbd682Tok0OxT4rS0ND399NMKDAyUj4+POnbsqJ9//jlPv19//VUDBgxQtWrV5O3trYoVK6pr16763//+Z+3z9ddf67777pMkDRgwwFrDn4e67Nq1Sw8//LACAgLk5eWl+vXra8WKFXadr5MnT6pXr17y9fWVv7+/oqOjlZKSkqdffkP1Nm7cqNatWyswMFAlSpRQpUqV1KNHD6Wnp1v7ZGRkaPLkyYqIiJCXl5cCAwMVFRWl7du359nHu+++q4iICHl7e6tu3bpas2aNw+cr95xZLBa9++67Gj16tCpWrChPT0/9+uuvkqT/+7//U/Xq1eXp6alatWrpvffeU//+/fO8r9euXdMrr7yimjVrytPTU2XLltWAAQN05swZu86t2fty9uxZhYSEqFmzZsrMzLS2Hzx4UCVLllTfvn2tbTk5OZo5c6bq1aunEiVKqFSpUrr//vu1evVqm30uX75cTZs2VcmSJeXj46MOHTpo7969DteW67vvvlPz5s3l5eWl4OBgxcbG2tSay55roSDvvfeemjZtKh8fH/n4+KhevXpasGCB9fXc4WJbtmxRs2bN5O3traeeesr6Wu6dpWPHjlmDUVxcnPV3JfdOcUFDv9atW6c2bdrI399f3t7eioiIUHx8vM25evzxxxUWFqYSJUooLCxMTzzxhI4fP256bDdavHixHnvsMUlSVFSUtcYbhwLv3LlTLVq0kLe3typXrqzXXntNOTk51tfNrvEvv/xSbdq0kZ+fn7y9vdW8eXN99dVXNvs4c+aMnnnmGYWEhFiv7+bNm+vLL7/MU7dZPZKUlJSkJ598UuXKlZOnp6ciIiL0xhtv5OmXH3uvMwD24yMUAFbZ2dnKysqyaTP7pPXRRx/V448/rsGDB+vy5cuSpM6dOys7O1vTpk1TpUqVdPbsWW3fvl3nz5+XJH388cfq2bOn/P39rcOCPD09C9yHYRjq3r27tm/frgkTJui+++7Ttm3b1KlTpzx9T548qcDAQL322msqW7aszp07pyVLlqhJkybau3evatSooQYNGmjRokUaMGCA/vnPf6pLly6SZL37s2nTJnXs2FFNmjTR3Llz5e/vrw8++EDR0dFKT0+/6fDCK1euqG3btjp58qTi4+NVvXp1ff7554qOjr7peZSu/5HapUsXtWjRQgsXLlSpUqV04sQJrVu3TteuXZO3t7eysrLUqVMnbd26VSNGjNCDDz6orKwsfffdd0pKSlKzZs2s2/v888+1c+dOTZ48WT4+Ppo2bZoeeeQRHTp0SJUrV7b7fP1ZbGysmjZtqrlz58rFxUXlypXTvHnz9Oyzz6pHjx568803deHCBcXFxSkjI8Nm3ZycHHXr1k1bt27VuHHj1KxZMx0/flwTJ05U69attWvXLpUoUaLA82PP+1KmTBl98MEHat26tV544QVNnz5d6enpeuyxx1SpUiXNnTvXur3+/fvrv//9rwYOHKjJkyfLw8NDe/bssQkBU6ZM0T//+U/rtXLt2jW9/vrratGihXbs2GG9O2PvNXPw4EG1adNGYWFhWrx4sby9vTV79my99957Dl8LBZkwYYJefvllPfrooxo9erT8/f21f//+PKEkOTlZTz75pMaNG6cpU6bIxSXvZ6kVKlTQunXr1LFjRw0cOFCDBg2SpJveZVqwYIGefvpptWrVSnPnzlW5cuX0888/a//+/TbHV6NGDT3++OMKCAhQcnKy5syZo/vuu08HDx5UmTJlCtz+jbp06aIpU6boxRdf1KxZs9SgQQNJshlanJKSoj59+mj06NGaOHGiPv74Y8XGxio4OFgxMTE228vvGv/vf/+rmJgYdevWTUuWLJG7u7veeecddejQQevXr1ebNm0kSX379tWePXv06quvqnr16jp//rz27Nmj1NRUm33YU8+ZM2fUrFkzXbt2TS+//LLCwsK0Zs0ajRkzRocPH84zpPLP7L3OADjIAHDXW7RokSEp35/MzEzj6NGjhiRj0aJF1nUmTpxoSDImTJhgs62zZ88akowZM2bcdJ+1a9c2WrVqZVd9X3zxhSHJ+M9//mPT/uqrrxqSjIkTJxa4blZWlnHt2jWjWrVqxsiRI63tO3fuzHNMuWrWrGnUr1/fyMzMtGl/6KGHjAoVKhjZ2dkF7m/OnDmGJOPTTz+1aX/66acLPIe5PvzwQ0OSsW/fvgK3v3TpUkOS8X//938F9jEMw5BkBAUFGWlpada2lJQUw8XFxYiPjy9wvYLO16ZNmwxJRsuWLW36Z2dnG+XLlzeaNGli0378+HHD3d3dCA0Ntba9//77hiTjo48+sumb+17Mnj37psfkyPsydepUQ5Lx8ccfG/369TNKlChh/Pjjj9bXt2zZYkgyXnrppQL3l5SUZLi5uRn/+Mc/bNovXrxolC9f3ujVq5fDtUVHRxslSpQwUlJSrH2ysrKMmjVrGpKMo0ePGoZh37WQnyNHjhiurq5Gnz59btqvVatWhiTjq6++yve1P/9unjlzpsDfs9x/O3LrvnjxouHn52c88MADRk5Ojt11Z2VlGZcuXTJKlixp83uee91t2rTppuuvXLmywH65x/r999/btNeqVcvo0KFDnn3deI1fvnzZCAgIMLp27WrTnp2dbdStW9do3Lixtc3Hx8cYMWLETWu1t57x48fn2++5554zLBaLcejQIWvbje+PvdcZAMcwVA+A1dKlS7Vz506bH7M7Tj169LBZDggIUJUqVfT6669r+vTp2rt3r13DSm5m06ZNkqQ+ffrYtPfu3TtP36ysLE2ZMkW1atWSh4eH3Nzc5OHhoV9++UWJiYmm+/r111/1008/WfeVlZVl/encubOSk5N16NChm9bq6+urhx9+2LTWG9WrV08eHh565plntGTJEh05ciRPny+++EJeXl7WYVU3ExUVJV9fX+tyUFCQypUrZ3PnwdHzdeP7fejQIaWkpKhXr1427ZUqVVLz5s1t2tasWaNSpUqpa9euNue1Xr16Kl++/E1nTnP0fRk7dqy6dOmiJ554QkuWLNHMmTN17733Wl//4osvJElDhgwpcJ/r169XVlaWYmJibPbn5eWlVq1aWet1pLZNmzapTZs2CgoKsu7H1dU1zx1Je66F/CQkJCg7O/umx5WrdOnSevDBB+3arr22b9+utLQ0Pf/88zedMfLSpUt64YUXVLVqVbm5ucnNzU0+Pj66fPmyXb+njipfvrwaN25s01anTp18hwbeeI1v375d586dU79+/Wze25ycHHXs2FE7d+603m1v3LixFi9erFdeeUXfffddgUPj7Kln48aNqlWrVp5+/fv3l2EY2rhxY4HHa+91BsAxBCcAVhEREWrUqJHNj5kbZ9OyWCz66quv1KFDB02bNk0NGjRQ2bJlNWzYMF28ePEv1ZWamio3NzcFBgbatJcvXz5P31GjRulf//qXunfvrs8++0zff/+9du7cqbp16+rKlSum+zp16pQkacyYMXJ3d7f5ef755yVdf47mZrX++Y+Vm9V6oypVqujLL79UuXLlNGTIEFWpUkVVqlTRf/7zH2ufM2fOKDg4ON9hVTe68XxJ14dE/vk8OHq+bny/c4cg5XfMN7adOnVK58+fl4eHR55zm5KSctPz6uj7kvscztWrV1W+fHmbZ5uk6+fR1dX1pu9L7j7vu+++PPtcvny5dX+O1JaamprvPm9ss+dayE/us2L2TDpSFDPh2bv/3r176+2339agQYO0fv167dixQzt37lTZsmXt+j11lD2/C7luPC+572/Pnj3zvL9Tp06VYRg6d+6cpOvPw/Xr10/z589X06ZNFRAQoJiYmDzPONpTT2pqar7vUXBwsPX1gth7nQFwDM84Afhb8vtUOTQ01Pog+s8//6wVK1Zo0qRJunbtms0zJvYKDAxUVlaWUlNTbf7gyG/ChdxnEaZMmWLTfvbsWZUqVcp0X7nPVsTGxurRRx/Nt8+Nz/3cWOuOHTvytOdXa35atGihFi1aKDs7W7t27dLMmTM1YsQIBQUF6fHHH1fZsmX1zTffKCcnx67wZMbR83Xj+537fuT+cflnNx5zmTJlFBgYqHXr1uVby5/vjt3I0fclOTlZQ4YMUb169XTgwAGNGTNGb731lvX1smXLKjs7WykpKQUGiNx9fvjhhwoNDS2U2gIDA/O9FvJrM7sW8pP77NHvv/+ukJCQAmuW8v/d/bv+vP+CXLhwQWvWrNHEiRM1fvx4a3tGRoY1gDjTjecl9/2dOXNmgbOL5n5IUKZMGc2YMUMzZsxQUlKSVq9erfHjx+v06dMFXvcFCQwMVHJycp72kydP2tRV0Lr2XmcA7McdJwBFqnr16vrnP/+pe++9V3v27LG2F/Rpb36ioqIkScuWLbNpz+9BZ4vFkmeiic8//1wnTpywacvtc2MNNWrUULVq1fTDDz/kufuW+3OzP/CjoqJ08eLFPDOzOfpQtqurq5o0aaJZs2ZJkvXcderUSVevXi20LyO293wVpEaNGipfvnye2eOSkpLyzPL30EMPKTU1VdnZ2fme15sFUkfel+zsbD3xxBOyWCz64osvFB8fr5kzZ2rVqlXW7eVOLDJnzpwC99mhQwe5ubnp8OHDBe7T0dqioqL01Vdf2QTN7OxsLV++vMA6CroW8tO+fXu5urre9LgcVdDvSn6aNWsmf39/zZ07V4Zh5NvHYrHIMIw81938+fOVnZ1d5DU6qnnz5ipVqpQOHjxY4Pvr4eGRZ71KlSpp6NChateu3U3fs4K0adNGBw8ezLPu0qVLZbFYrP8u5uevXGcAzHHHCUCh+vHHHzV06FA99thjqlatmjw8PLRx40b9+OOPNp8u33vvvfrggw+0fPlyVa5cWV5eXjbPoPxZ+/bt1bJlS40bN06XL19Wo0aNtG3bNr377rt5+j700ENavHixatasqTp16mj37t16/fXX8wwdqlKlikqUKKFly5YpIiJCPj4+Cg4OVnBwsN555x116tRJHTp0UP/+/VWxYkWdO3dOiYmJ2rNnj1auXFng8cfExOjNN99UTEyMXn31VVWrVk1r167V+vXrTc/d3LlztXHjRnXp0kWVKlXS1atXtXDhQklS27ZtJUlPPPGEFi1apMGDB+vQoUOKiopSTk6Ovv/+e0VERBR4J6Ig9p6vgri4uCguLk7PPvusevbsqaeeekrnz59XXFycKlSoYHNX7PHHH9eyZcvUuXNnDR8+XI0bN5a7u7t+//13bdq0Sd26ddMjjzxS4L7sfV8mTpyorVu3asOGDSpfvrxGjx6tzZs3a+DAgapfv77Cw8PVokUL9e3bV6+88opOnTqlhx56SJ6entq7d6+8vb31j3/8Q2FhYZo8ebJeeuklHTlyRB07dlTp0qV16tQp7dixQyVLlrR+May9tf3zn//U6tWr9eCDD2rChAny9vbWrFmzrM/I5LLnWshPWFiYXnzxRb388su6cuWKnnjiCfn7++vgwYM6e/astV5H+Pr6KjQ0VJ9++qnatGmjgIAAlSlTJt+vEPDx8dEbb7yhQYMGqW3btnr66acVFBSkX3/9VT/88IPefvtt+fn5qWXLlnr99det29m8ebMWLFhg113h/ERGRkqS5s2bJ19fX3l5eSk8PDzfIXGO8vHx0cyZM9WvXz+dO3dOPXv2VLly5XTmzBn98MMPOnPmjObMmaMLFy4oKipKvXv3Vs2aNeXr66udO3dq3bp1Bd6JvJmRI0dq6dKl6tKliyZPnqzQ0FB9/vnnmj17tp577jlVr169wHXtvc4AOMi5c1MAKA5yZ8bauXNnvq/fbFa9M2fO2PQ9deqU0b9/f6NmzZpGyZIlDR8fH6NOnTrGm2++aWRlZVn7HTt2zGjfvr3h6+trSLKZfS0/58+fN5566imjVKlShre3t9GuXTvjp59+yjOb1B9//GEMHDjQKFeunOHt7W088MADxtatW/PMFGYY12d5q1mzpuHu7p5nOz/88IPRq1cvo1y5coa7u7tRvnx548EHHzTmzp170zoNwzB+//13o0ePHoaPj4/h6+tr9OjRw9i+fbvprHrffvut8cgjjxihoaGGp6enERgYaLRq1cpYvXq1zfavXLliTJgwwahWrZrh4eFhBAYGGg8++KCxfft2ax9JxpAhQ/LUFhoaavTr18/h85U749jKlSvzPeZ58+YZVatWNTw8PIzq1asbCxcuNLp162bUr1/fpl9mZqbx73//26hbt67h5eVl+Pj4GDVr1jSeffZZ45dffjE9t2bvy4YNGwwXF5c8M8ClpqYalSpVMu677z4jIyPDMIzrs6K9+eabRmRkpOHh4WH4+/sbTZs2NT777DObdT/55BMjKirK8PPzMzw9PY3Q0FCjZ8+expdffulQbbm2bdtm3H///Yanp6dRvnx5Y+zYsca8efNsZjuz91ooyNKlS4377rvPeo7r169vc+21atXKqF27dr7r5ve78uWXXxr169c3PD09DUnWa+jGWfVyrV271mjVqpVRsmRJw9vb26hVq5YxdepU6+u5vyOlS5c2fH19jY4dOxr79+/Pc33aO6ueYRjGjBkzjPDwcMPV1dXmd62gY+3Xr5/Nvztm1/jmzZuNLl26GAEBAYa7u7tRsWJFo0uXLtb+V69eNQYPHmzUqVPH8PPzM0qUKGHUqFHDmDhxonH58mXrduytxzCuz07Zu3dvIzAw0HB3dzdq1KhhvP7663lm9rzx3y/DsO86A+AYi2EUcC8dAIC/6Pz586pevbq6d++uefPmObscAAD+NobqAQD+lpSUFL366quKiopSYGCgjh8/rjfffFMXL17U8OHDnV0eAACFguAEAPhbPD09dezYMT3//PM6d+6cvL29df/992vu3LmqXbu2s8sDAKBQMFQPAAAAAEwwHTkAAAAAmCA4AQAAAIAJghMAAAAAmLjrJofIycnRyZMn5evrK4vF4uxyAAAAADiJYRi6ePGigoODbb60PT93XXA6efKkQkJCnF0GAAAAgGLit99+0z333HPTPnddcPL19ZV0/eT4+fk5uRoAAAAAzpKWlqaQkBBrRriZuy445Q7P8/PzIzgBAAAAsOsRHiaHAAAAAAATBCcAAAAAMEFwAgAAAAATBCcAAAAAMEFwAgAAAAATBCcAAAAAMEFwAgAAAAATBCcAAAAAMEFwAgAAAAATBCcAAAAAMEFwAgAAAAATTg1OW7ZsUdeuXRUcHCyLxaJPPvnEdJ3NmzerYcOG8vLyUuXKlTV37tyiLxQAAADAXc2pweny5cuqW7eu3n77bbv6Hz16VJ07d1aLFi20d+9evfjiixo2bJg++uijIq4UAAAAwN3MzZk779Spkzp16mR3/7lz56pSpUqaMWOGJCkiIkK7du3Sv//9b/Xo0aOIqgQAAABwt3NqcHLUt99+q/bt29u0dejQQQsWLFBmZqbc3d3zrJORkaGMjAzrclpamiQpMzNTmZmZRVswAAAAgGLLkTxwWwWnlJQUBQUF2bQFBQUpKytLZ8+eVYUKFfKsEx8fr7i4uDztGzZskLe3d5HVCgAAAKB4S09Pt7vvbRWcJMlisdgsG4aRb3uu2NhYjRo1yrqclpamkJAQtW/fXn5+fkVXqAMiJ613dgkAAADALbN/UgdnlyDp/49Gs8dtFZzKly+vlJQUm7bTp0/Lzc1NgYGB+a7j6ekpT0/PPO3u7u75Du1zhozs/EMfAAAAcCcqLn+HO1LHbfU9Tk2bNlVCQoJN24YNG9SoUaNic/IBAAAA3HmcGpwuXbqkffv2ad++fZKuTze+b98+JSUlSbo+zC4mJsbaf/DgwTp+/LhGjRqlxMRELVy4UAsWLNCYMWOcUT4AAACAu4RTh+rt2rVLUVFR1uXcZ5H69eunxYsXKzk52RqiJCk8PFxr167VyJEjNWvWLAUHB+utt95iKnIAAAAARcpi5M6ucJdIS0uTv7+/Lly4UGwmhwgb/7mzSwAAAABumWOvdXF2CZIcywa31TNOAAAAAOAMBCcAAAAAMEFwAgAAAAATBCcAAAAAMEFwAgAAAAATBCcAAAAAMEFwAgAAAAATBCcAAAAAMEFwAgAAAAATBCcAAAAAMEFwAgAAAAATBCcAAAAAMEFwAgAAAAATBCcAAAAAMEFwAgAAAAATBCcAAAAAMEFwAgAAAAATBCcAAAAAMEFwAgAAAAATBCcAAAAAMEFwAgAAAAATBCcAAAAAMEFwAgAAAAATBCcAAAAAMEFwAgAAAAATBCcAAAAAMEFwAgAAAAATBCcAAAAAMEFwAgAAAAATBCcAAAAAMEFwAgAAAAATBCcAAAAAMEFwAgAAAAATBCcAAAAAMEFwAgAAAAATBCcAAAAAMEFwAgAAAAATBCcAAAAAMEFwAgAAAAATBCcAAAAAMEFwAgAAAAATBCcAAAAAMEFwAgAAAAATBCcAAAAAMEFwAgAAAAATBCcAAAAAMEFwAgAAAAATBCcAAAAAMEFwAgAAAAATBCcAAAAAMEFwAgAAAAATBCcAAAAAMEFwAgAAAAATBCcAAAAAMEFwAgAAAAATBCcAAAAAMEFwAgAAAAATBCcAAAAAMEFwAgAAAAATBCcAAAAAMEFwAgAAAAATBCcAAAAAMEFwAgAAAAATTg9Os2fPVnh4uLy8vNSwYUNt3br1pv2XLVumunXrytvbWxUqVNCAAQOUmpp6i6oFAAAAcDdyanBavny5RowYoZdeekl79+5VixYt1KlTJyUlJeXb/5tvvlFMTIwGDhyoAwcOaOXKldq5c6cGDRp0iysHAAAAcDdxanCaPn26Bg4cqEGDBikiIkIzZsxQSEiI5syZk2//7777TmFhYRo2bJjCw8P1wAMP6Nlnn9WuXbtuceUAAAAA7iZuztrxtWvXtHv3bo0fP96mvX379tq+fXu+6zRr1kwvvfSS1q5dq06dOun06dP68MMP1aVLlwL3k5GRoYyMDOtyWlqaJCkzM1OZmZmFcCR/n6er4ewSAAAAgFumuPwd7kgdTgtOZ8+eVXZ2toKCgmzag4KClJKSku86zZo107JlyxQdHa2rV68qKytLDz/8sGbOnFngfuLj4xUXF5enfcOGDfL29v57B1FIpjV2dgUAAADArbN27VpnlyBJSk9Pt7uv04JTLovFYrNsGEaetlwHDx7UsGHDNGHCBHXo0EHJyckaO3asBg8erAULFuS7TmxsrEaNGmVdTktLU0hIiNq3by8/P7/CO5C/IXLSemeXAAAAANwy+yd1cHYJkv7/aDR7OC04lSlTRq6urnnuLp0+fTrPXahc8fHxat68ucaOHStJqlOnjkqWLKkWLVrolVdeUYUKFfKs4+npKU9Pzzzt7u7ucnd3L4Qj+fsysvMPigAAAMCdqLj8He5IHU6bHMLDw0MNGzZUQkKCTXtCQoKaNWuW7zrp6elycbEt2dXVVdL1O1UAAAAAUBScOqveqFGjNH/+fC1cuFCJiYkaOXKkkpKSNHjwYEnXh9nFxMRY+3ft2lWrVq3SnDlzdOTIEW3btk3Dhg1T48aNFRwc7KzDAAAAAHCHc+ozTtHR0UpNTdXkyZOVnJysyMhIrV27VqGhoZKk5ORkm+906t+/vy5evKi3335bo0ePVqlSpfTggw9q6tSpzjoEAAAAAHcBi3GXjXFLS0uTv7+/Lly4UGwmhwgb/7mzSwAAAABumWOvFfx1QreSI9nAqUP1AAAAAOB2QHACAAAAABMEJwAAAAAwQXACAAAAABMEJwAAAAAwQXACAAAAABMEJwAAAAAwQXACAAAAABMEJwAAAAAwQXACAAAAABMEJwAAAAAwQXACAAAAABMEJwAAAAAwQXACAAAAABMEJwAAAAAwQXACAAAAABMEJwAAAAAwQXACAAAAABMEJwAAAAAwQXACAAAAABMEJwAAAAAwQXACAAAAABMEJwAAAAAwQXACAAAAABMEJwAAAAAwQXACAAAAABMEJwAAAAAwQXACAAAAABMEJwAAAAAwQXACAAAAABMEJwAAAAAwQXACAAAAABMEJwAAAAAwQXACAAAAABMEJwAAAAAwQXACAAAAABMEJwAAAAAw4XBw+u233/T7779bl3fs2KERI0Zo3rx5hVoYAAAAABQXDgen3r17a9OmTZKklJQUtWvXTjt27NCLL76oyZMnF3qBAAAAAOBsDgen/fv3q3HjxpKkFStWKDIyUtu3b9d7772nxYsXF3Z9AAAAAOB0DgenzMxMeXp6SpK+/PJLPfzww5KkmjVrKjk5uXCrAwAAAIBiwOHgVLt2bc2dO1dbt25VQkKCOnbsKEk6efKkAgMDC71AAAAAAHA2h4PT1KlT9c4776h169Z64oknVLduXUnS6tWrrUP4AAAAAOBO4uZIZ8MwFB4eruPHjys7O1ulS5e2vvbMM8/I29u70AsEAAAAAGdz6I6TYRiqVq2aTp06ZROaJCksLEzlypUr1OIAAAAAoDhwKDi5uLioWrVqSk1NLap6AAAAAKDYcfgZp2nTpmns2LHav39/UdQDAAAAAMWOQ884SdKTTz6p9PR01a1bVx4eHipRooTN6+fOnSu04gAAAACgOHA4OM2YMaMIygAAAACA4svh4NSvX7+iqAMAAAAAii2Hg9OfXblyRZmZmTZtfn5+f6sgAAAAAChuHJ4c4vLlyxo6dKjKlSsnHx8flS5d2uYHAAAAAO40DgencePGaePGjZo9e7Y8PT01f/58xcXFKTg4WEuXLi2KGgEAAADAqRweqvfZZ59p6dKlat26tZ566im1aNFCVatWVWhoqJYtW6Y+ffoURZ0AAAAA4DQO33E6d+6cwsPDJV1/nil3+vEHHnhAW7ZsKdzqAAAAAKAYcDg4Va5cWceOHZMk1apVSytWrJB0/U5UqVKlCrM2AAAAACgWHA5OAwYM0A8//CBJio2NtT7rNHLkSI0dO7bQCwQAAAAAZ3P4GaeRI0da/zsqKko//fSTdu3apSpVqqhu3bqFWhwAAAAAFAd/63ucrl69qkqVKqlSpUqFVQ8AAAAAFDsOD9XLzs7Wyy+/rIoVK8rHx0dHjhyRJP3rX//SggULCr1AAAAAAHA2h4PTq6++qsWLF2vatGny8PCwtt97772aP39+oRYHAAAAAMWBw8Fp6dKlmjdvnvr06SNXV1dre506dfTTTz8VanEAAAAAUBw4HJxOnDihqlWr5mnPyclRZmamwwXMnj1b4eHh8vLyUsOGDbV169ab9s/IyNBLL72k0NBQeXp6qkqVKlq4cKHD+wUAAAAAezk8OUTt2rW1detWhYaG2rSvXLlS9evXd2hby5cv14gRIzR79mw1b95c77zzjjp16qSDBw8WOOFEr169dOrUKS1YsEBVq1bV6dOnlZWV5ehhAAAAAIDdHA5OEydOVN++fXXixAnl5ORo1apVOnTokJYuXao1a9Y4tK3p06dr4MCBGjRokCRpxowZWr9+vebMmaP4+Pg8/detW6fNmzfryJEjCggIkCSFhYU5eggAAAAA4BCHg1PXrl21fPlyTZkyRRaLRRMmTFCDBg302WefqV27dnZv59q1a9q9e7fGjx9v096+fXtt374933VWr16tRo0aadq0aXr33XdVsmRJPfzww3r55ZdVokSJfNfJyMhQRkaGdTktLU2SlJmZ+ZeGFhYFT1fD2SUAAAAAt0xx+TvckTr+0vc4dejQQR06dPgrq1qdPXtW2dnZCgoKsmkPCgpSSkpKvuscOXJE33zzjby8vPTxxx/r7Nmzev7553Xu3LkCn3OKj49XXFxcnvYNGzbI29v7bx1DYZnW2NkVAAAAALfO2rVrnV2CJCk9Pd3uvg4Hp/79++upp55Sy5YtHV01XxaLxWbZMIw8bblycnJksVi0bNky+fv7S7o+3K9nz56aNWtWvnedYmNjNWrUKOtyWlqaQkJC1L59e/n5+RXKMfxdkZPWO7sEAAAA4JbZP+nv3YQpLLmj0ezhcHC6ePGi2rdvr5CQEA0YMED9+vVTxYoVHd2MypQpI1dX1zx3l06fPp3nLlSuChUqqGLFitbQJEkREREyDEO///67qlWrlmcdT09PeXp65ml3d3eXu7u7w3UXhYzs/IMiAAAAcCcqLn+HO1KHw9ORf/TRRzpx4oSGDh2qlStXKiwsTJ06ddKHH37o0BhBDw8PNWzYUAkJCTbtCQkJatasWb7rNG/eXCdPntSlS5esbT///LNcXFx0zz33OHooAAAAAGAXh4OTJAUGBmr48OHau3evduzYoapVq6pv374KDg7WyJEj9csvv9i1nVGjRmn+/PlauHChEhMTNXLkSCUlJWnw4MGSrg+zi4mJsfbv3bu3AgMDNWDAAB08eFBbtmzR2LFj9dRTTxU4OQQAAAAA/F1/KTjlSk5O1oYNG7Rhwwa5urqqc+fOOnDggGrVqqU333zTdP3o6GjNmDFDkydPVr169bRlyxatXbvW+h1RycnJSkpKsvb38fFRQkKCzp8/r0aNGqlPnz7q2rWr3nrrrb9zGAAAAABwUxbDMByaCzszM1OrV6/WokWLtGHDBtWpU0eDBg1Snz595OvrK0n64IMP9Nxzz+mPP/4okqL/jrS0NPn7++vChQvFZnKIsPGfO7sEAAAA4JY59loXZ5cgybFs4PDkEBUqVFBOTo6eeOIJ7dixQ/Xq1cvTp0OHDipVqpSjmwYAAACAYsnh4PTmm2/qsccek5eXV4F9SpcuraNHj/6twgAAAACguHA4OPXt27co6gAAAACAYutvTQ4BAAAAAHcDghMAAAAAmCA4AQAAAIAJu4JTgwYNrFOLT548Wenp6UVaFAAAAAAUJ3YFp8TERF2+fFmSFBcXp0uXLhVpUQAAAABQnNg1q169evU0YMAAPfDAAzIMQ//+97/l4+OTb98JEyYUaoEAAAAA4Gx2BafFixdr4sSJWrNmjSwWi7744gu5ueVd1WKxEJwAAAAA3HHsCk41atTQBx98IElycXHRV199pXLlyhVpYQAAAABQXDj8Bbg5OTlFUQcAAAAAFFsOBydJOnz4sGbMmKHExERZLBZFRERo+PDhqlKlSmHXBwAAAABO5/D3OK1fv161atXSjh07VKdOHUVGRur7779X7dq1lZCQUBQ1AgAAAIBTOXzHafz48Ro5cqRee+21PO0vvPCC2rVrV2jFAQAAAEBx4PAdp8TERA0cODBP+1NPPaWDBw8WSlEAAAAAUJw4HJzKli2rffv25Wnft28fM+0BAAAAuCM5PFTv6aef1jPPPKMjR46oWbNmslgs+uabbzR16lSNHj26KGoEAAAAAKdyODj961//kq+vr9544w3FxsZKkoKDgzVp0iQNGzas0AsEAAAAAGdzODhZLBaNHDlSI0eO1MWLFyVJvr6+hV4YAAAAABQXf+l7nHIRmAAAAADcDRyeHAIAAAAA7jYEJwAAAAAwQXACAAAAABMOBafMzExFRUXp559/Lqp6AAAAAKDYcSg4ubu7a//+/bJYLEVVDwAAAAAUOw4P1YuJidGCBQuKohYAAAAAKJYcno782rVrmj9/vhISEtSoUSOVLFnS5vXp06cXWnEAAAAAUBw4HJz279+vBg0aSFKeZ50YwgcAAADgTuRwcNq0aVNR1AEAAAAAxdZfno78119/1fr163XlyhVJkmEYhVYUAAAAABQnDgen1NRUtWnTRtWrV1fnzp2VnJwsSRo0aJBGjx5d6AUCAAAAgLM5HJxGjhwpd3d3JSUlydvb29oeHR2tdevWFWpxAAAAAFAcOPyM04YNG7R+/Xrdc889Nu3VqlXT8ePHC60wAAAAACguHL7jdPnyZZs7TbnOnj0rT0/PQikKAAAAAIoTh4NTy5YttXTpUuuyxWJRTk6OXn/9dUVFRRVqcQAAAABQHDg8VO/1119X69attWvXLl27dk3jxo3TgQMHdO7cOW3btq0oagQAAAAAp3L4jlOtWrX0448/qnHjxmrXrp0uX76sRx99VHv37lWVKlWKokYAAAAAcCqH7zhJUvny5RUXF1fYtQAAAABAsfSXgtMff/yhBQsWKDExURaLRRERERowYIACAgIKuz4AAAAAcDqHh+pt3rxZ4eHheuutt/THH3/o3LlzeuuttxQeHq7NmzcXRY0AAAAA4FQO33EaMmSIevXqpTlz5sjV1VWSlJ2dreeff15DhgzR/v37C71IAAAAAHAmh+84HT58WKNHj7aGJklydXXVqFGjdPjw4UItDgAAAACKA4eDU4MGDZSYmJinPTExUfXq1SuMmgAAAACgWLFrqN6PP/5o/e9hw4Zp+PDh+vXXX3X//fdLkr777jvNmjVLr732WtFUCQAAAABOZDEMwzDr5OLiIovFIrOuFotF2dnZhVZcUUhLS5O/v78uXLggPz8/Z5cjSQob/7mzSwAAAABumWOvdXF2CZIcywZ23XE6evRooRQGAAAAALcju4JTaGhoUdcBAAAAAMXWX/oC3BMnTmjbtm06ffq0cnJybF4bNmxYoRQGAAAAAMWFw8Fp0aJFGjx4sDw8PBQYGCiLxWJ9zWKxEJwAAAAA3HEcDk4TJkzQhAkTFBsbKxcXh2czBwAAAIDbjsPJJz09XY8//jihCQAAAMBdw+H0M3DgQK1cubIoagEAAACAYsnhoXrx8fF66KGHtG7dOt17771yd3e3eX369OmFVhwAAAAAFAcOB6cpU6Zo/fr1qlGjhiTlmRwCAAAAAO40Dgen6dOna+HCherfv38RlAMAAAAAxY/Dzzh5enqqefPmRVELAAAAABRLDgen4cOHa+bMmUVRCwAAAAAUSw4P1duxY4c2btyoNWvWqHbt2nkmh1i1alWhFQcAAAAAxYHDwalUqVJ69NFHi6IWAAAAACiWHA5OixYtKoo6AAAAAKDYcvgZJwAAAAC42zgcnMLDw1W5cuUCfxw1e/ZshYeHy8vLSw0bNtTWrVvtWm/btm1yc3NTvXr1HN4nAAAAADjC4aF6I0aMsFnOzMzU3r17tW7dOo0dO9ahbS1fvlwjRozQ7Nmz1bx5c73zzjvq1KmTDh48qEqVKhW43oULFxQTE6M2bdro1KlTjh4CAAAAADjEYhiGURgbmjVrlnbt2uXQM1BNmjRRgwYNNGfOHGtbRESEunfvrvj4+ALXe/zxx1WtWjW5urrqk08+0b59++zeZ1pamvz9/XXhwgX5+fnZvV5RChv/ubNLAAAAAG6ZY691cXYJkhzLBg7fcSpIp06dFBsba3dwunbtmnbv3q3x48fbtLdv317bt28vcL1Fixbp8OHD+u9//6tXXnnFdD8ZGRnKyMiwLqelpUm6fqcsMzPTrlqLmqdroWRXAAAA4LZQXP4Od6SOQgtOH374oQICAuzuf/bsWWVnZysoKMimPSgoSCkpKfmu88svv2j8+PHaunWr3NzsKz0+Pl5xcXF52jds2CBvb2+76y1K0xo7uwIAAADg1lm7dq2zS5Akpaen293X4eBUv359WSwW67JhGEpJSdGZM2c0e/ZsRzdns63c7d3YJknZ2dnq3bu34uLiVL16dbu3Hxsbq1GjRlmX09LSFBISovbt2xeboXqRk9Y7uwQAAADgltk/qYOzS5D0/0ej2cPh4NS9e3ebZRcXF5UtW1atW7dWzZo17d5OmTJl5Orqmufu0unTp/PchZKkixcvateuXdq7d6+GDh0qScrJyZFhGHJzc9OGDRv04IMP5lnP09NTnp6eedrd3d3l7u5ud71FKSM7b1AEAAAA7lTF5e9wR+pwODhNnDjR0VXy5eHhoYYNGyohIUGPPPKItT0hIUHdunXL09/Pz0//+9//bNpmz56tjRs36sMPP1R4eHih1AUAAAAANyq0Z5z+ilGjRqlv375q1KiRmjZtqnnz5ikpKUmDBw+WdH2Y3YkTJ7R06VK5uLgoMjLSZv1y5crJy8srTzsAAAAAFCa7g5OLi0u+zx79mcViUVZWlt07j46OVmpqqiZPnqzk5GRFRkZq7dq1Cg0NlSQlJycrKSnJ7u0BAAAAQFGw+3ucPv300wJf2759u2bOnCnDMHTlypVCK64o8D1OAAAAgHPd0d/jlN9zRz/99JNiY2P12WefqU+fPnr55ZcdrxYAAAAAijmXv7LSyZMn9fTTT6tOnTrKysrSvn37tGTJElWqVKmw6wMAAAAAp3MoOF24cEEvvPCCqlatqgMHDuirr77SZ599xuQMAAAAAO5odg/VmzZtmqZOnary5cvr/fffz3foHgAAAADcieyeHMLFxUUlSpRQ27Zt5erqWmC/VatWFVpxRYHJIQAAAADnuqMnh4iJiTGdjhwAAAAA7kR2B6fFixcXYRkAAAAAUHz9pVn1AAAAAOBuQnACAAAAABMEJwAAAAAwQXACAAAAABMEJwAAAAAwQXACAAAAABMEJwAAAAAwQXACAAAAABMEJwAAAAAwQXACAAAAABMEJwAAAAAwQXACAAAAABMEJwAAAAAwQXACAAAAABMEJwAAAAAwQXACAAAAABMEJwAAAAAwQXACAAAAABMEJwAAAAAwQXACAAAAABMEJwAAAAAwQXACAAAAABMEJwAAAAAwQXACAAAAABMEJwAAAAAwQXACAAAAABMEJwAAAAAwQXACAAAAABMEJwAAAAAwQXACAAAAABMEJwAAAAAwQXACAAAAABMEJwAAAAAwQXACAAAAABMEJwAAAAAwQXACAAAAABMEJwAAAAAwQXACAAAAABMEJwAAAAAwQXACAAAAABMEJwAAAAAwQXACAAAAABMEJwAAAAAwQXACAAAAABMEJwAAAAAwQXACAAAAABMEJwAAAAAwQXACAAAAABMEJwAAAAAwQXACAAAAABMEJwAAAAAwQXACAAAAABMEJwAAAAAwQXACAAAAABMEJwAAAAAwQXACAAAAABNOD06zZ89WeHi4vLy81LBhQ23durXAvqtWrVK7du1UtmxZ+fn5qWnTplq/fv0trBYAAADA3cipwWn58uUaMWKEXnrpJe3du1ctWrRQp06dlJSUlG//LVu2qF27dlq7dq12796tqKgode3aVXv37r3FlQMAAAC4m1gMwzCctfMmTZqoQYMGmjNnjrUtIiJC3bt3V3x8vF3bqF27tqKjozVhwgS7+qelpcnf318XLlyQn5/fX6q7sIWN/9zZJQAAAAC3zLHXuji7BEmOZQO3W1RTHteuXdPu3bs1fvx4m/b27dtr+/btdm0jJydHFy9eVEBAQIF9MjIylJGRYV1OS0uTJGVmZiozM/MvVF74PF2dll0BAACAW664/B3uSB1OC05nz55Vdna2goKCbNqDgoKUkpJi1zbeeOMNXb58Wb169SqwT3x8vOLi4vK0b9iwQd7e3o4VXUSmNXZ2BQAAAMCts3btWmeXIElKT0+3u6/TglMui8Vis2wYRp62/Lz//vuaNGmSPv30U5UrV67AfrGxsRo1apR1OS0tTSEhIWrfvn2xGaoXOYkJLgAAAHD32D+pg7NLkPT/R6PZw2nBqUyZMnJ1dc1zd+n06dN57kLdaPny5Ro4cKBWrlyptm3b3rSvp6enPD0987S7u7vL3d3d8cKLQEa2eVAEAAAA7hTF5e9wR+pw2qx6Hh4eatiwoRISEmzaExIS1KxZswLXe//999W/f3+999576tKleDxUBgAAAODO5tSheqNGjVLfvn3VqFEjNW3aVPPmzVNSUpIGDx4s6fowuxMnTmjp0qWSroemmJgY/ec//9H9999vvVtVokQJ+fv7O+04AAAAANzZnBqcoqOjlZqaqsmTJys5OVmRkZFau3atQkNDJUnJyck23+n0zjvvKCsrS0OGDNGQIUOs7f369dPixYtvdfkAAAAA7hJO/R4nZ+B7nAAAAADnuh2/x8lpzzgBAAAAwO2C4AQAAAAAJghOAAAAAGCC4AQAAAAAJghOAAAAAGCC4AQAAAAAJghOAAAAAGCC4AQAAAAAJghOAAAAAGCC4AQAAAAAJghOAAAAAGCC4AQAAAAAJghOAAAAAGCC4AQAAAAAJghOAAAAAGCC4AQAAAAAJghOAAAAAGCC4AQAAAAAJghOAAAAAGCC4AQAAAAAJghOAAAAAGCC4AQAAAAAJghOAAAAAGCC4AQAAAAAJghOAAAAAGCC4AQAAAAAJghOAAAAAGCC4AQAAAAAJghOAAAAAGCC4AQAAAAAJghOAAAAAGCC4AQAAAAAJghOAAAAAGCC4AQAAAAAJghOAAAAAGCC4AQAAAAAJghOAAAAAGCC4AQAAAAAJghOAAAAAGCC4AQAAAAAJghOAAAAAGCC4AQAAAAAJghOAAAAAGCC4AQAAAAAJghOAAAAAGCC4AQAAAAAJghOAAAAAGCC4AQAAAAAJghOAAAAAGCC4AQAAAAAJghOAAAAAGCC4AQAAAAAJghOAAAAAGCC4AQAAAAAJghOAAAAAGCC4AQAAAAAJghOAAAAAGCC4AQAAAAAJghOAAAAAGCC4AQAAAAAJghOAAAAAGCC4AQAAAAAJpwenGbPnq3w8HB5eXmpYcOG2rp16037b968WQ0bNpSXl5cqV66suXPn3qJKAQAAANytnBqcli9frhEjRuill17S3r171aJFC3Xq1ElJSUn59j969Kg6d+6sFi1aaO/evXrxxRc1bNgwffTRR7e4cgAAAAB3E4thGIazdt6kSRM1aNBAc+bMsbZFRESoe/fuio+Pz9P/hRde0OrVq5WYmGhtGzx4sH744Qd9++23du0zLS1N/v7+unDhgvz8/P7+QRSCsPGfO7sEAAAA4JY59loXZ5cgybFs4HaLasrj2rVr2r17t8aPH2/T3r59e23fvj3fdb799lu1b9/epq1Dhw5asGCBMjMz5e7unmedjIwMZWRkWJcvXLggSTp37pwyMzP/7mEUCresy84uAQAAALhlUlNTnV2CJOnixYuSJHvuJTktOJ09e1bZ2dkKCgqyaQ8KClJKSkq+66SkpOTbPysrS2fPnlWFChXyrBMfH6+4uLg87eHh4X+jegAAAAB/VZk3nF2BrYsXL8rf3/+mfZwWnHJZLBabZcMw8rSZ9c+vPVdsbKxGjRplXc7JydG5c+cUGBh40/0AAO5saWlpCgkJ0W+//VZshm4DAG4twzB08eJFBQcHm/Z1WnAqU6aMXF1d89xdOn36dJ67SrnKly+fb383NzcFBgbmu46np6c8PT1t2kqVKvXXCwcA3FH8/PwITgBwFzO705TLabPqeXh4qGHDhkpISLBpT0hIULNmzfJdp2nTpnn6b9iwQY0aNcr3+SYAAAAAKAxOnY581KhRmj9/vhYuXKjExESNHDlSSUlJGjx4sKTrw+xiYmKs/QcPHqzjx49r1KhRSkxM1MKFC7VgwQKNGTPGWYcAAAAA4C7g1GecoqOjlZqaqsmTJys5OVmRkZFau3atQkNDJUnJyck23+kUHh6utWvXauTIkZo1a5aCg4P11ltvqUePHs46BADAbcrT01MTJ07MM5wbAID8OPV7nAAAAADgduDUoXoAAAAAcDsgOAEAAACACYITAAAAAJggOAEAAACACYITAAAAAJggOAEA4AAmowWAu5NTv8cJAIDibteuXTp69KhKliyp2rVrW79rEABwdyE4AQBQgPnz5+vFF19UQECArl27pkuXLmnmzJmKjo52dmkAgFuM4AQAQD52796t8ePHa9asWercubN+//13LV68WL1799Zvv/2mESNGyM2N/40CwN2Cf/EBAMjH+fPnFRwcrHbt2snX11cRERGaOnWqKlSooNGjR6t06dIaOHCgcnJy5OLCI8MAcKcjOAEAkI+MjAzt379fFy9eVEBAgLKzs+Xq6qoRI0YoLS1NQ4YM0X333ac6deo4u1QAwC3AR2QAAPxJ7qx5zZs3V8uWLTV+/HidOnVKrq6uysnJkWEY+sc//qEmTZrok08+sVkHAHDnIjgBACDpjz/+UFpams6fPy9J8vf3V8+ePXX48GHNmDFDZ8+etQ7JK126tLy8vJScnCxJslgsziobAHCLEJwAAHe9999/X71791adOnXUr18/rVixQpI0dOhQtW3bVgkJCZo4caLOnDkji8Wiq1ev6urVqypfvryTKwcA3CoWg/EFAIC72NKlS/Xcc89p6tSp1ueajh49qgULFqhKlSqSpKlTp2r16tU6dOiQHnjgASUlJSkjI0M//PADM+sBwF2C4AQAuGvt2bNHTz75pGJjY9W3b19J0rZt2/TII49oxYoVat26tbXv/v379cUXXyg5OVllypTRuHHj5ObmZp00AgBwZ+NjMgDAXSslJUX33nuvmjVrJsMwZLFY1Lx5c9WoUUNJSUmSpMzMTLm7uysyMlKRkZE26xOaAODuwTNOAIC7VuXKlfX888+rSpUqslgsysnJkXR9KvKLFy9Kktzd3Qtcn9AEAHcPghMA4K5Vs2ZNtWrVSpKsd5yk64EoKyvL2t6zZ0999tlnTqsTAOB8BCcAAHR9SvHc4OTv768SJUpIkjp27Kh9+/apY8eOziwPAOBkBCcAwF0hdxiePbKzs3Xp0iX16tVLR48eVWJiotzd3a13oQAAdx+CEwDgrpD75bWff/65srOzC+yXnZ2tq1evasyYMTp06JAOHDhgDU1MPQ4Ady+CEwDgjvbnO00TJ05U165ddfToURX0bRyurq6qW7euoqKitHv3bkITAEAS05EDAO5wuXeafv75Z3l6emrDhg2qWrXqTdd57rnnFBERIRcXF0ITAEASd5wAAHeBzz//XDVr1tTbb78tPz8/0/61a9eWi4uLcnJyCE0AAEkEJwDAXSA0NFTPPvusUlNTdfz4cUn2TRaRe7cKAAA+RgMA3FFycnLyBJ7IyEiNHj1aFy9eVExMjAICAtSmTZt8+wIAkB+CEwDgjvHnIPT+++/r7NmzysnJUe/evVW1alVNmzZNLi4u6tWrl1asWEF4AgDYzWIUNK0QAAC3EcMwrF9gO3bsWL3zzjuKjIzUwYMHFRYWppEjR+rJJ5/UyZMnNWHCBK1Zs0ZLlixR586dnVw5AOB2wEdsAIA7Qm5oSklJ0bZt27Rp0yZt3rxZp0+fVo0aNTRnzhx9+umnCgkJ0fjx4/XAAw9o5syZTq4aAHC74I4TAOCOMW3aNH322WcqVaqU/vvf/8rPz08Wi0VXrlzRo48+qrS0NG3btk2S9Pvvvys4OJhhegAAu/B/CwDAHcEwDFWoUEGHDh3Svn37lJmZKYvFomvXrqlEiRJ6/fXXtWvXLn3//feSpHvuucc65TgAAGYITgCA21Ju4MkdOGGxWBQdHa25c+fq/Pnzio2NlSR5eHhIktLT0xUcHKySJUvabIc7TgAAezBUDwBw23n//fe1bt06vfDCCwoJCZGvr6/1tWvXrumTTz5R//791bNnT8XExKhUqVKaOHGizpw5o++++46wBABwGMEJAHBbuXDhgho2bKi0tDQFBQWpYcOGatWqlQYMGGDtk5GRoU8//VTPPvusLly4oBEjRujUqVNauHChPD09lZ2dLVdXVyceBQDgdsP3OAEAbis+Pj7q1auXQkNDdd9992njxo0aOXKk1q9fr8jISI0bN06enp7q1auXXFxc9OyzzyojI0PLli2TdP2OVO7wPQAA7MVYBQDAbcXV1VUtW7bUuHHj5ObmpjFjxiglJUU1atTQhAkT1KRJE02ZMkU//vijevbsqTlz5mjRokUaOXKkJBGaAAB/CUP1AAC3paFDh8owDM2aNUuSVLt2bVWvXl01atTQvn37tGHDBi1YsEAxMTFatWqVoqOjNW7cOL322mtOrhwAcDtiqB4A4LZUv359LVq0SOfOnVPbtm1VunRpLVmyRH5+fkpJSdHWrVv1yCOPyNXVVY888og++ugjRUREOLtsAMBtijtOAIDbVuPGjbVr1y61bNlSq1atUkBAQJ4+WVlZcnPjc0IAwN/DM04AgNtO7md+w4YNU+3atfXGG28oICBA+X0WSGgCABQGghMA4LZjsVgkSVFRUUpNTVVCQoJNOwAAhY3gBAC4bVWsWFGxsbH697//rYMHDzq7HADAHYzxCwCA21rnzp21a9cu1axZ09mlAADuYEwOAQC47RmGIYvFouzsbLm6ujq7HADAHYjgBAAAAAAmeMYJAAAAAEwQnAAAAADABMEJAAAAAEwQnAAAAADABMEJAAAAAEwQnAAAKERhYWGaMWPG39rGpEmTVK9evUKpBwBQOAhOAIAi079/f1ksFlksFrm7uysoKEjt2rXTwoULlZOT49C2Fi9erFKlShVNoYVo586deuaZZ5xdBgCgkBGcAABFqmPHjkpOTtaxY8f0xRdfKCoqSsOHD9dDDz2krKwsZ5dXaK5duyZJKlu2rLy9vZ1cDQCgsBGcAABFytPTU+XLl1fFihXVoEEDvfjii/r000/1xRdfaPHixdZ+06dP17333quSJUsqJCREzz//vC5duiRJ+vrrrzVgwABduHDBegdr0qRJkq4HlnHjxqlixYoqWbKkmjRpoq+//vqmNVksFs2ZM0edOnVSiRIlFB4erpUrV9r0OXHihKKjo1W6dGkFBgaqW7duOnbsmPX1/v37q3v37oqPj1dwcLCqV68uKe9QvaSkJHXr1k0+Pj7y8/NTr169dOrUKZt9vfbaawoKCpKvr68GDhyoq1evOnaSAQBFjuAEALjlHnzwQdWtW1erVq2ytrm4uOitt97S/v37tWTJEm3cuFHjxo2TJDVr1kwzZsyQn5+fkpOTlZycrDFjxkiSBgwYoG3btumDDz7Qjz/+qMcee0wdO3bUL7/8ctMa/vWvf6lHjx764Ycf9OSTT+qJJ55QYmKiJCk9PV1RUVHy8fHRli1b9M0338jHx0cdO3a03lmSpK+++kqJiYlKSEjQmjVr8uzDMAx1795d586d0+bNm5WQkKDDhw8rOjra2mfFihWaOHGiXn31Ve3atUsVKlTQ7Nmz//rJBQAUDQMAgCLSr18/o1u3bvm+Fh0dbURERBS47ooVK4zAwEDr8qJFiwx/f3+bPr/++qthsViMEydO2LS3adPGiI2NLXDbkozBgwfbtDVp0sR47rnnDMMwjAULFhg1atQwcnJyrK9nZGQYJUqUMNavX289tqCgICMjI8NmO6Ghocabb75pGIZhbNiwwXB1dTWSkpKsrx84cMCQZOzYscMwDMNo2rRpvrXUrVu3wPoBALced5wAAE5hGIYsFot1edOmTWrXrp0qVqwoX19fxcTEKDU1VZcvXy5wG3v27JFhGKpevbp8fHysP5s3b9bhw4dvuv+mTZvmWc6947R79279+uuv8vX1tW4zICBAV69etdnuvffeKw8PjwL3kZiYqJCQEIWEhFjbatWqpVKlSln3lZiYmG8tAIDixc3ZBQAA7k6JiYkKDw+XJB0/flydO3fW4MGD9fLLLysgIEDffPONBg4cqMzMzAK3kZOTI1dXV+3evVuurq42r/n4+DhcU26Qy8nJUcOGDbVs2bI8fcqWLWv975IlS950ezeGQ7N2AEDxxR0nAMAtt3HjRv3vf/9Tjx49JEm7du1SVlaW3njjDd1///2qXr26Tp48abOOh4eHsrOzbdrq16+v7OxsnT59WlWrVrX5KV++/E1r+O677/Is16xZU5LUoEED/fLLLypXrlye7fr7+9t9nLVq1VJSUpJ+++03a9vBgwd14cIFRURESJIiIiLyrQUAULwQnAAARSojI0MpKSk6ceKE9uzZoylTpqhbt2566KGHFBMTI0mqUqWKsrKyNHPmTB05ckTvvvuu5s6da7OdsLAwXbp0SV999ZXOnj2r9PR0Va9eXX369FFMTIxWrVqlo0ePaufOnZo6darWrl1707pWrlyphQsX6ueff9bEiRO1Y8cODR06VJLUp08flSlTRt26ddPWrVt19OhRbd68WcOHD9fvv/9u97G3bdtWderUUZ8+fbRnzx7t2LFDMTExatWqlRo1aiRJGj58uBYuXGhTy4EDBxw5xQCAW4DgBAAoUuvWrVOFChUUFhamjh07atOmTXrrrbf06aefWofX1atXT9OnT9fUqVMVGRmpZcuWKT4+3mY7zZo10+DBgxUdHa2yZctq2rRpkqRFixYpJiZGo0ePVo0aNfTwww/r+++/t3muKD9xcXH64IMPVKdOHS1ZskTLli1TrVq1JEne3t7asmWLKlWqpEcffVQRERF66qmndOXKFfn5+dl97BaLRZ988olKly6tli1bqm3btqpcubKWL19u7RMdHa0JEybohRdeUMOGDXX8+HE999xzdu8DAHBrWAzDMJxdBAAAt5LFYtHHH3+s7t27O7sUAMBtgjtOAAAAAGCC4AQAAAAAJpiOHABw12GUOgDAUdxxAgAAAAATBCcAAAAAMEFwAgAAAAATBCcAAAAAMEFwAgAAAAATBCcAAAAAMEFwAgAAAAATBCcAAAAAMEFwAgAAAAAT/w8PmftLkpEvZQAAAABJRU5ErkJggg==",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0EAAAH0CAYAAAD7ZSY2AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8fJSN1AAAACXBIWXMAAA9hAAAPYQGoP6dpAABZvElEQVR4nO3dd3yT9fr/8XdaSqGUMkqhgOyNyFBAAWWKTAUFQUGWE8UjS0EcDJGhHoGjHsDF8ggoKoogU6YiAoIgQ2SKsmS2SKF0XL8//DVfQpPSaEtK79fz8eCh+eRO7itXPmnyzj3iMjMTAAAAADhEUKALAAAAAICriRAEAAAAwFEIQQAAAAAchRAEAAAAwFEIQQAAAAAchRAEAAAAwFEIQQAAAAAchRAEAAAAwFEIQQAAAAAchRAEZDPTpk2Ty+Xy+u/pp5/WgQMH5HK5NG3atAxb58SJEzPk/lwul4YPH+737Q4fPqzhw4frxx9//Mc1pIe3Hg4fPlwulytT1udyufTkk09myn0j46W8Bg8cOBDoUtS4cWM1btzYfTkuLk7Dhw/XypUrUy2b2XWvXLlSLpfL67ovtWPHDg0fPtxrHY0bN1a1atUypb6/IzPqSe/fwaw0z4BrUY5AFwAgc0ydOlWVK1f2GCtWrJiKFCmi7777TuXKlcuwdU2cOFGFChVSz549M+w+/XH48GGNGDFCpUuXVs2aNQNSw8MPP6yWLVsGZN2ALxMnTvS4HBcXpxEjRkiSRziSpDZt2ui7775T0aJFr1Z5Xu3YsUMjRoxQ48aNVbp06YDWAiD7IgQB2VS1atVUu3Ztr9fdcsstV7x9XFycwsLCMrqsbOu6667TddddF+gy/raEhAS5XC7lyMHbQnaQ8vqtWrVqum8TFRWlqKioTKwqsJjjAC7F7nCAw6S1K9emTZvUsWNHFShQwL2laN++fbrvvvtUrFgxhYaGqkiRImrWrJl717PSpUtr+/btWrVqlXu3uyt9exsbG6tHHnlEkZGRCg8PV8uWLfXLL7+kWm7Pnj3q1auXKlSooLCwMBUvXlx33nmnfvrpJ/cyK1euVJ06dSRJvXr1ctdw6e4kGzdu1F133aWCBQsqV65cqlWrlj7++ON09evw4cPq1KmT8ubNq3z58qlz5846evRoquW87Q63fPlyNW7cWJGRkcqdO7dKliypDh06KC4uzr1MfHy8XnrpJVWpUkW5cuVSZGSkmjRporVr16ZaxwcffKAqVaooLCxMNWrU0Pz58/3uV0rPXC6XPvjgAw0cOFDFixdXaGio9uzZI0l69913VbFiRYWGhqpq1aqaOXOmevbsmep5vXjxol5++WVVrlxZoaGhioqKUq9evXT8+PF09fZKz8uJEydUokQJ1a9fXwkJCe7xHTt2KE+ePOrWrZt7LDk5WW+++aZq1qyp3LlzK3/+/Lrllls0b948j3V+9NFHqlevnvLkyaPw8HC1aNFCmzdv9ru2FOvWrVODBg2UK1cuFStWTEOGDPGoNUV65oIvM2fOVL169RQeHq7w8HDVrFlT77//vvv6lF2yVq9erfr16yssLEwPPvig+7qULT4HDhxwh5wRI0a4XyspW3B97V61aNEiNWvWTPny5VNYWJiqVKmiMWPGePTqvvvuU+nSpZU7d26VLl1a999/v3799dcrPrbLTZs2Tffee68kqUmTJu4aL9/ddsOGDbrtttsUFhamsmXLauzYsUpOTnZff6U5vmzZMjVr1kwREREKCwtTgwYN9PXXX3us4/jx43r00UdVokQJ9/xu0KCBli1blqruK9UjSQcPHtQDDzygwoULKzQ0VFWqVNHrr7+eajlv0jvPAKQfX4cA2VRSUpISExM9xq70Deg999yj++67T71799a5c+ckSa1bt1ZSUpJeffVVlSxZUidOnNDatWt15swZSdLcuXPVsWNH5cuXz73rTWhoqM91mJnat2+vtWvXaujQoapTp46+/fZbtWrVKtWyhw8fVmRkpMaOHauoqCidOnVK06dP180336zNmzerUqVKuvHGGzV16lT16tVLL7zwgtq0aSNJ7q0yK1asUMuWLXXzzTdr8uTJypcvn2bPnq3OnTsrLi4uzV34zp8/r9tvv12HDx/WmDFjVLFiRS1YsECdO3dOs4/SXx8427Rpo9tuu01TpkxR/vz5dejQIS1atEgXL15UWFiYEhMT1apVK61Zs0b9+vVT06ZNlZiYqHXr1ungwYOqX7+++/4WLFigDRs26KWXXlJ4eLheffVV3X333dq1a5fKli2b7n5dasiQIapXr54mT56soKAgFS5cWO+8844ee+wxdejQQePHj1dMTIxGjBih+Ph4j9smJyerXbt2WrNmjQYNGqT69evr119/1bBhw9S4cWNt3LhRuXPn9tmf9DwvhQoV0uzZs9W4cWMNHjxY48aNU1xcnO69916VLFlSkydPdt9fz5499b///U8PPfSQXnrpJeXMmVObNm3y+EA/evRovfDCC+65cvHiRb322mu67bbbtH79evdWk/TOmR07dqhZs2YqXbq0pk2bprCwME2cOFEzZ870ey74MnToUI0cOVL33HOPBg4cqHz58mnbtm2pAsaRI0f0wAMPaNCgQRo9erSCglJ/x1m0aFEtWrRILVu21EMPPaSHH35YktLc+vP+++/rkUceUaNGjTR58mQVLlxYv/zyi7Zt2+bx+CpVqqT77rtPBQsW1JEjRzRp0iTVqVNHO3bsUKFChXze/+XatGmj0aNH67nnntN///tf3XjjjZLksfvu0aNH1bVrVw0cOFDDhg3T3LlzNWTIEBUrVkzdu3f3uD9vc/x///ufunfvrnbt2mn69OkKCQnR22+/rRYtWmjx4sVq1qyZJKlbt27atGmTRo0apYoVK+rMmTPatGmTTp486bGO9NRz/Phx1a9fXxcvXtTIkSNVunRpzZ8/X08//bT27t2barfFS6V3ngHwkwHIVqZOnWqSvP5LSEiw/fv3mySbOnWq+zbDhg0zSTZ06FCP+zpx4oRJsgkTJqS5zuuvv94aNWqUrvoWLlxokuw///mPx/ioUaNMkg0bNsznbRMTE+3ixYtWoUIF69+/v3t8w4YNqR5TisqVK1utWrUsISHBY7xt27ZWtGhRS0pK8rm+SZMmmST74osvPMYfeeQRnz1M8cknn5gk+/HHH33e/4wZM0ySvfvuuz6XMTOTZEWKFLHY2Fj32NGjRy0oKMjGjBnj83a++rVixQqTZA0bNvRYPikpyaKjo+3mm2/2GP/1118tJCTESpUq5R6bNWuWSbJPP/3UY9mU52LixIlpPiZ/npdXXnnFJNncuXOtR48eljt3btu6dav7+tWrV5ske/75532u7+DBg5YjRw7717/+5TF+9uxZi46Otk6dOvldW+fOnS137tx29OhR9zKJiYlWuXJlk2T79+83s/TNBW/27dtnwcHB1rVr1zSXa9SokUmyr7/+2ut1l742jx8/7vN1lvK3I6Xus2fPWkREhN16662WnJyc7roTExPtzz//tDx58ni8zlPm3YoVK9K8/Zw5c3wul/JYv//+e4/xqlWrWosWLVKt6/I5fu7cOStYsKDdeeedHuNJSUlWo0YNq1u3rnssPDzc+vXrl2at6a3n2Wef9brc448/bi6Xy3bt2uUeu/z5Se88A+AfdocDsqkZM2Zow4YNHv+utCWoQ4cOHpcLFiyocuXK6bXXXtO4ceO0efPmdO26kZYVK1ZIkrp27eox3qVLl1TLJiYmavTo0apatapy5sypHDlyKGfOnNq9e7d27tx5xXXt2bNHP//8s3tdiYmJ7n+tW7fWkSNHtGvXrjRrzZs3r+66664r1nq5mjVrKmfOnHr00Uc1ffp07du3L9UyCxcuVK5cudy7LqWlSZMmyps3r/tykSJFVLhwYY8tAv726/Lne9euXTp69Kg6derkMV6yZEk1aNDAY2z+/PnKnz+/7rzzTo++1qxZU9HR0WmeAczf5+WZZ55RmzZtdP/992v69Ol68803dcMNN7ivX7hwoSSpT58+Pte5ePFiJSYmqnv37h7ry5Urlxo1auSu15/aVqxYoWbNmqlIkSLu9QQHB6faUpieueDN0qVLlZSUlObjSlGgQAE1bdo0XfebXmvXrlVsbKyeeOKJNM98+Oeff2rw4MEqX768cuTIoRw5cig8PFznzp1L1+vUX9HR0apbt67HWPXq1b3ufnf5HF+7dq1OnTqlHj16eDy3ycnJatmypTZs2ODeCl63bl1NmzZNL7/8statW+dz97P01LN8+XJVrVo11XI9e/aUmWn58uU+H2965xkA/xCCgGyqSpUqql27tse/K7n8rFAul0tff/21WrRooVdffVU33nijoqKi9NRTT+ns2bN/q66TJ08qR44cioyM9BiPjo5OteyAAQP04osvqn379vryyy/1/fffa8OGDapRo4bOnz9/xXUdO3ZMkvT0008rJCTE498TTzwh6a/jTtKq9dIPHmnVerly5cpp2bJlKly4sPr06aNy5cqpXLly+s9//uNe5vjx4ypWrJjXXZcud3m/pL92O7y0D/726/LnO2U3H2+P+fKxY8eO6cyZM8qZM2eq3h49ejTNvvr7vKQct3LhwgVFR0d7HAsk/dXH4ODgNJ+XlHXWqVMn1To/+ugj9/r8qe3kyZNe13n5WHrmgjcpx1al54QbmXFGt/Suv0uXLnrrrbf08MMPa/HixVq/fr02bNigqKiodL1O/ZWe10KKy/uS8vx27Ngx1fP7yiuvyMx06tQpSX8dP9ajRw+99957qlevngoWLKju3bunOiYwPfWcPHnS63NUrFgx9/W+pHeeAfAPxwQBcPP2bW+pUqXcB2H/8ssv+vjjjzV8+HBdvHjR45iM9IqMjFRiYqJOnjzp8eHB28kGUvbdHz16tMf4iRMnlD9//iuuK+VYhCFDhuiee+7xuszlx8lcXuv69etTjXur1ZvbbrtNt912m5KSkrRx40a9+eab6tevn4oUKaL77rtPUVFR+uabb5ScnJyuIHQl/vbr8uc75flI+aB4qcsfc6FChRQZGalFixZ5reXSrVaX8/d5OXLkiPr06aOaNWtq+/btevrpp/XGG2+4r4+KilJSUpKOHj3qMwykrPOTTz5RqVKlMqS2yMhIr3PB29iV5oI3Kcfq/P777ypRooTPmiXvr91/6tL1+xITE6P58+dr2LBhevbZZ93j8fHx7jARSJf3JeX5ffPNN32eJTMl8BcqVEgTJkzQhAkTdPDgQc2bN0/PPvus/vjjD5/z3pfIyEgdOXIk1fjhw4c96vJ12/TOMwDpx5YgAOlWsWJFvfDCC7rhhhu0adMm97ivb2G9adKkiSTpww8/9Bj3dpCvy+VKdZKFBQsW6NChQx5jKctcXkOlSpVUoUIFbdmyJdVWsZR/aX1Yb9Kkic6ePZvqDGP+HpAcHBysm2++Wf/9738lyd27Vq1a6cKFCxn2w7Xp7ZcvlSpVUnR0dKqzoB08eDDV2eratm2rkydPKikpyWtf0wqX/jwvSUlJuv/+++VyubRw4UKNGTNGb775pj777DP3/aWcVGPSpEk+19miRQvlyJFDe/fu9blOf2tr0qSJvv76a4/QmJSUpI8++shnHb7mgjd33HGHgoOD03xc/vL1WvGmfv36ypcvnyZPniwz87qMy+WSmaWad++9956SkpIyvUZ/NWjQQPnz59eOHTt8Pr85c+ZMdbuSJUvqySefVPPmzdN8znxp1qyZduzYkeq2M2bMkMvlcv9d9ObvzDMAV8aWIAA+bd26VU8++aTuvfdeVahQQTlz5tTy5cu1detWj299b7jhBs2ePVsfffSRypYtq1y5cnkcs3GpO+64Qw0bNtSgQYN07tw51a5dW99++60++OCDVMu2bdtW06ZNU+XKlVW9enX98MMPeu2111LtnlOuXDnlzp1bH374oapUqaLw8HAVK1ZMxYoV09tvv61WrVqpRYsW6tmzp4oXL65Tp05p586d2rRpk+bMmePz8Xfv3l3jx49X9+7dNWrUKFWoUEFfffWVFi9efMXeTZ48WcuXL1ebNm1UsmRJXbhwQVOmTJEk3X777ZKk+++/X1OnTlXv3r21a9cuNWnSRMnJyfr+++9VpUoVn1sIfElvv3wJCgrSiBEj9Nhjj6ljx4568MEHdebMGY0YMUJFixb12Fp133336cMPP1Tr1q3Vt29f1a1bVyEhIfr999+1YsUKtWvXTnfffbfPdaX3eRk2bJjWrFmjJUuWKDo6WgMHDtSqVav00EMPqVatWipTpoxuu+02devWTS+//LKOHTumtm3bKjQ0VJs3b1ZYWJj+9a9/qXTp0nrppZf0/PPPa9++fWrZsqUKFCigY8eOaf369cqTJ4/7R0TTW9sLL7ygefPmqWnTpho6dKjCwsL03//+131MSYr0zAVvSpcureeee04jR47U+fPndf/99ytfvnzasWOHTpw44a7XH3nz5lWpUqX0xRdfqFmzZipYsKAKFSrk9bT24eHhev311/Xwww/r9ttv1yOPPKIiRYpoz5492rJli9566y1FRESoYcOGeu2119z3s2rVKr3//vvp2lrrTbVq1SRJ77zzjvLmzatcuXKpTJkyXnc781d4eLjefPNN9ejRQ6dOnVLHjh1VuHBhHT9+XFu2bNHx48c1adIkxcTEqEmTJurSpYsqV66svHnzasOGDVq0aJHPLYRp6d+/v2bMmKE2bdropZdeUqlSpbRgwQJNnDhRjz/+uCpWrOjztumdZwD8FNjzMgDIaClneNqwYYPX69M6O9zx48c9lj127Jj17NnTKleubHny5LHw8HCrXr26jR8/3hITE93LHThwwO644w7LmzevSfI4i5g3Z86csQcffNDy589vYWFh1rx5c/v5559TnRXp9OnT9tBDD1nhwoUtLCzMbr31VluzZk2qM16Z/XW2ssqVK1tISEiq+9myZYt16tTJChcubCEhIRYdHW1Nmza1yZMnp1mnmdnvv/9uHTp0sPDwcMubN6916NDB1q5de8Wzw3333Xd29913W6lSpSw0NNQiIyOtUaNGNm/ePI/7P3/+vA0dOtQqVKhgOXPmtMjISGvatKmtXbvWvYwk69OnT6raSpUqZT169PC7XylnzpozZ47Xx/zOO+9Y+fLlLWfOnFaxYkWbMmWKtWvXzmrVquWxXEJCgv373/+2GjVqWK5cuSw8PNwqV65sjz32mO3evfuKvb3S87JkyRILCgpKdSazkydPWsmSJa1OnToWHx9vZn+d3Wv8+PFWrVo1y5kzp+XLl8/q1atnX375pcdtP//8c2vSpIlFRERYaGiolSpVyjp27GjLli3zq7YU3377rd1yyy0WGhpq0dHR9swzz9g777zjcdau9M4FX2bMmGF16tRx97hWrVoec69Ro0Z2/fXXe72tt9fKsmXLrFatWhYaGmqS3HPo8rPDpfjqq6+sUaNGlidPHgsLC7OqVavaK6+84r4+5TVSoEABy5s3r7Vs2dK2bduWan6m9+xwZmYTJkywMmXKWHBwsMdrzddj7dGjh8ffnSvN8VWrVlmbNm2sYMGCFhISYsWLF7c2bdq4l79w4YL17t3bqlevbhEREZY7d26rVKmSDRs2zM6dO+e+n/TWY/bXWRa7dOlikZGRFhISYpUqVbLXXnst1RkqL//7ZZa+eQbAPy4zH9u4AQCQdObMGVWsWFHt27fXO++8E+hyAAD4x9gdDgDgdvToUY0aNUpNmjRRZGSkfv31V40fP15nz55V3759A10eAAAZghAEAHALDQ3VgQMH9MQTT+jUqVMKCwvTLbfcosmTJ+v6668PdHkAAGQIdocDAAAA4CicIhsAAACAoxCCAAAAADgKIQgAAACAo1zTJ0ZITk7W4cOHlTdvXrlcrkCXAwAAACBAzExnz55VsWLFPH7g25trOgQdPnxYJUqUCHQZAAAAALKI3377Tdddd12ay1zTIShv3ryS/nqgERERAa4GAAAAQKDExsaqRIkS7oyQlms6BKXsAhcREUEIAgAAAJCuw2Q4MQIAAAAARyEEAQAAAHAUQhAAAAAARyEEAQAAAHAUQhAAAAAARyEEAQAAAHAUQhAAAAAARyEEAQAAAHAUQhAAAAAARyEEAQAAAHAUQhAAAAAARwl4CDp06JAeeOABRUZGKiwsTDVr1tQPP/wQ6LIAAAAAZFM5Arny06dPq0GDBmrSpIkWLlyowoULa+/evcqfP38gywIAAACQjQU0BL3yyisqUaKEpk6d6h4rXbp04AoCAAAAkO0FNATNmzdPLVq00L333qtVq1apePHieuKJJ/TII494XT4+Pl7x8fHuy7GxsZKkhIQEJSQkXJWaAQAAAGQ9/uSBgIagffv2adKkSRowYICee+45rV+/Xk899ZRCQ0PVvXv3VMuPGTNGI0aMSDW+ZMkShYWFXY2SAQAAAGRBcXFx6V7WZWaWibWkKWfOnKpdu7bWrl3rHnvqqae0YcMGfffdd6mW97YlqESJEjpx4oQiIiKuSs0AEEjVhi8OdAlZ1rbhLQJdAgAggGJjY1WoUCHFxMRcMRsEdEtQ0aJFVbVqVY+xKlWq6NNPP/W6fGhoqEJDQ1ONh4SEKCQkJFNqBICsJD7JFegSsizeBwDA2fx5HwjoKbIbNGigXbt2eYz98ssvKlWqVIAqAgAAAJDdBTQE9e/fX+vWrdPo0aO1Z88ezZw5U++884769OkTyLIAAAAAZGMBDUF16tTR3LlzNWvWLFWrVk0jR47UhAkT1LVr10CWBQAAACAbC+gxQZLUtm1btW3bNtBlAAAAAHCIgG4JAgAAAICrjRAEAAAAwFEIQQAAAAAchRAEAAAAwFEIQQAAAAAchRAEAAAAwFEIQQAAAAAchRAEAAAAwFEIQQAAAAAchRAEAAAAwFEIQQAAAAAchRAEAAAAwFEIQQAAAAAchRAEAAAAwFEIQQAAAAAchRAEAAAAwFEIQQAAAAAchRAEAAAAwFEIQQAAAAAchRAEAAAAwFEIQQAAAAAchRAEAAAAwFEIQQAAAAAchRAEAAAAwFEIQQAAAAAchRAEAAAAwFEIQQAAAAAchRAEAAAAwFEIQQAAAAAchRAEAAAAwFEIQQAAAAAchRAEAAAAwFEIQQAAAAAchRAEAAAAwFEIQQAAAAAchRAEAAAAwFEIQQAAAAAchRAEAAAAwFEIQQAAAAAchRAEAAAAwFEIQQAAAAAchRAEAAAAwFEIQQAAAAAchRAEAAAAwFEIQQAAAAAchRAEAAAAwFEIQQAAAAAchRAEAAAAwFEIQQAAAAAchRAEAAAAwFECGoKGDx8ul8vl8S86OjqQJQEAAADI5nIEuoDrr79ey5Ytc18ODg4OYDUAAAAAsruAh6AcOXKw9QcAAADAVRPwELR7924VK1ZMoaGhuvnmmzV69GiVLVvW67Lx8fGKj493X46NjZUkJSQkKCEh4arUCwCBFBpsgS4hy+J9AACczZ/3AZeZBewddeHChYqLi1PFihV17Ngxvfzyy/r555+1fft2RUZGplp++PDhGjFiRKrxmTNnKiws7GqUDAAAACALiouLU5cuXRQTE6OIiIg0lw1oCLrcuXPnVK5cOQ0aNEgDBgxIdb23LUElSpTQiRMnrvhAASA7qDZ8caBLyLK2DW8R6BIAAAEUGxurQoUKpSsEBXx3uEvlyZNHN9xwg3bv3u31+tDQUIWGhqYaDwkJUUhISGaXBwABF5/kCnQJWRbvAwDgbP68D2Sp3wmKj4/Xzp07VbRo0UCXAgAAACCbCmgIevrpp7Vq1Srt379f33//vTp27KjY2Fj16NEjkGUBAAAAyMYCujvc77//rvvvv18nTpxQVFSUbrnlFq1bt06lSpUKZFkAAAAAsrGAhqDZs2cHcvUAAAAAHChLHRMEAAAAAJmNEAQAAADAUQhBAAAAAByFEAQAAADAUQhBAAAAAByFEAQAAADAUQhBAAAAAByFEAQAAADAUQhBAAAAAByFEAQAAADAUQhBAAAAAByFEAQAAADAUQhBAAAAAByFEAQAAADAUQhBAAAAAByFEAQAAADAUQhBAAAAAByFEAQAAADAUQhBAAAAAByFEAQAAADAUQhBAAAAAByFEAQAAADAUQhBAAAAAByFEAQAAADAUQhBAAAAAByFEAQAAADAUQhBAAAAAByFEAQAAADAUQhBAAAAAByFEAQAAADAUQhBAAAAAByFEAQAAADAUQhBAAAAAByFEAQAAADAUQhBAAAAAByFEAQAAADAUQhBAAAAAByFEAQAAADAUQhBAAAAAByFEAQAAADAUQhBAAAAAByFEAQAAADAUQhBAAAAAByFEAQAAADAUQhBAAAAAByFEAQAAADAUQhBAAAAAByFEAQAAADAUQhBAAAAAByFEAQAAADAUfwOQb/99pt+//139+X169erX79+euedd/5RIWPGjJHL5VK/fv3+0f0AAAAAQFr8DkFdunTRihUrJElHjx5V8+bNtX79ej333HN66aWX/lYRGzZs0DvvvKPq1av/rdsDAAAAQHr5HYK2bdumunXrSpI+/vhjVatWTWvXrtXMmTM1bdo0vwv4888/1bVrV7377rsqUKCA37cHAAAAAH/k8PcGCQkJCg0NlSQtW7ZMd911lySpcuXKOnLkiN8F9OnTR23atNHtt9+ul19+Oc1l4+PjFR8f774cGxvrrikhIcHvdQPAtSY02AJdQpbF+wAAOJs/7wN+h6Drr79ekydPVps2bbR06VKNHDlSknT48GFFRkb6dV+zZ8/Wpk2btGHDhnQtP2bMGI0YMSLV+JIlSxQWFubXugHgWvRq3UBXkHV99dVXgS4BABBAcXFx6V7WZWZ+fa24cuVK3X333YqNjVWPHj00ZcoUSdJzzz2nn3/+WZ999lm67ue3335T7dq1tWTJEtWoUUOS1LhxY9WsWVMTJkzwehtvW4JKlCihEydOKCIiwp+HAQDXpGrDFwe6hCxr2/AWgS4hS2LO+MacAbKX2NhYFSpUSDExMVfMBn5tCTIzlSlTRr/++quSkpI8juF59NFH/doa88MPP+iPP/7QTTfd5B5LSkrS6tWr9dZbbyk+Pl7BwcEetwkNDXXvinepkJAQhYSE+PNQAOCaFJ/kCnQJWRbvA94xZ3xjzgDZiz+vab9DUIUKFbR9+3ZVqFDB47rSpUv7c1dq1qyZfvrpJ4+xXr16qXLlyho8eHCqAAQAAAAAGcGvEBQUFKQKFSro5MmTqUKQv/Lmzatq1ap5jOXJk0eRkZGpxgEAAAAgo/h9iuxXX31VzzzzjLZt25YZ9QAAAABApvL77HAPPPCA4uLiVKNGDeXMmVO5c+f2uP7UqVN/u5iVK1f+7dsCAAAAQHr4HYJ8nbkNAAAAAK4FfoegHj16ZEYdAAAAAHBV+B2CLnX+/PlUv8zK7/UAAAAAyMr8PjHCuXPn9OSTT6pw4cIKDw9XgQIFPP4BAAAAQFbmdwgaNGiQli9frokTJyo0NFTvvfeeRowYoWLFimnGjBmZUSMAAAAAZBi/d4f78ssvNWPGDDVu3FgPPvigbrvtNpUvX16lSpXShx9+qK5du2ZGnQAAAACQIfzeEnTq1CmVKVNG0l/H/6ScEvvWW2/V6tWrM7Y6AAAAAMhgfoegsmXL6sCBA5KkqlWr6uOPP5b01xai/PnzZ2RtAAAAAJDh/A5BvXr10pYtWyRJQ4YMcR8b1L9/fz3zzDMZXiAAAAAAZCS/jwnq37+/+/+bNGmin3/+WRs3blS5cuVUo0aNDC0OAAAAADLaP/qdoAsXLqhkyZIqWbJkRtUDAAAAAJnK793hkpKSNHLkSBUvXlzh4eHat2+fJOnFF1/U+++/n+EFAgAAAEBG8jsEjRo1StOmTdOrr76qnDlzusdvuOEGvffeexlaHAAAAABkNL9D0IwZM/TOO++oa9euCg4Odo9Xr15dP//8c4YWBwAAAAAZze8QdOjQIZUvXz7VeHJyshISEjKkKAAAAADILH6HoOuvv15r1qxJNT5nzhzVqlUrQ4oCAAAAgMzi99nhhg0bpm7duunQoUNKTk7WZ599pl27dmnGjBmaP39+ZtQIAAAAABnG7y1Bd955pz766CN99dVXcrlcGjp0qHbu3Kkvv/xSzZs3z4waAQAAACDD/K3fCWrRooVatGiR0bUAAAAAQKbze0tQz549tXr16syoBQAAAAAynd8h6OzZs7rjjjtUoUIFjR49WocOHcqMugAAAAAgU/gdgj799FMdOnRITz75pObMmaPSpUurVatW+uSTTzhFNgAAAIAsz+8QJEmRkZHq27evNm/erPXr16t8+fLq1q2bihUrpv79+2v37t0ZXScAAAAAZIi/FYJSHDlyREuWLNGSJUsUHBys1q1ba/v27apatarGjx+fUTUCAAAAQIbxOwQlJCTo008/Vdu2bVWqVCnNmTNH/fv315EjRzR9+nQtWbJEH3zwgV566aXMqBcAAAAA/hG/T5FdtGhRJScn6/7779f69etVs2bNVMu0aNFC+fPnz4DyAAAAACBj+R2Cxo8fr3vvvVe5cuXyuUyBAgW0f//+f1QYAAAAAGQGv0NQt27dMqMOAAAAALgq/tGJEQAAAADgWkMIAgAAAOAohCAAAAAAjpKuEHTjjTfq9OnTkqSXXnpJcXFxmVoUAAAAAGSWdIWgnTt36ty5c5KkESNG6M8//8zUogAAAAAgs6Tr7HA1a9ZUr169dOutt8rM9O9//1vh4eFelx06dGiGFggAAAAAGSldIWjatGkaNmyY5s+fL5fLpYULFypHjtQ3dblchCAAAAAAWVq6QlClSpU0e/ZsSVJQUJC+/vprFS5cOFMLAwAAAIDM4PePpSYnJ2dGHQAAAABwVfgdgiRp7969mjBhgnbu3CmXy6UqVaqob9++KleuXEbXBwAAAAAZyu/fCVq8eLGqVq2q9evXq3r16qpWrZq+//57XX/99Vq6dGlm1AgAAAAAGcbvLUHPPvus+vfvr7Fjx6YaHzx4sJo3b55hxQEAAABARvN7S9DOnTv10EMPpRp/8MEHtWPHjgwpCgAAAAAyi98hKCoqSj/++GOq8R9//JEzxgEAAADI8vzeHe6RRx7Ro48+qn379ql+/fpyuVz65ptv9Morr2jgwIGZUSMAAAAAZBi/Q9CLL76ovHnz6vXXX9eQIUMkScWKFdPw4cP11FNPZXiBAAAAAJCR/A5BLpdL/fv3V//+/XX27FlJUt68eTO8MAAAAADIDH/rd4JSEH4AAAAAXGv8PjECAAAAAFzLCEEAAAAAHIUQBAAAAMBR/ApBCQkJatKkiX755ZfMqgcAAAAAMpVfISgkJETbtm2Ty+XKrHoAAAAAIFP5vTtc9+7d9f7772fIyidNmqTq1asrIiJCERERqlevnhYuXJgh9w0AAAAA3vh9iuyLFy/qvffe09KlS1W7dm3lyZPH4/px48al+76uu+46jR07VuXLl5ckTZ8+Xe3atdPmzZt1/fXX+1saAAAAAFyR3yFo27ZtuvHGGyUp1bFB/u4md+edd3pcHjVqlCZNmqR169Z5DUHx8fGKj493X46NjZX017FKCQkJfq0bAK5FocEW6BKyLN4HvGPO+MacAbIXf17TLjPLEn8dk5KSNGfOHPXo0UObN29W1apVUy0zfPhwjRgxItX4zJkzFRYWdjXKBAAAAJAFxcXFqUuXLoqJiVFERESay/7tELRnzx7t3btXDRs2VO7cuWVmf+uECT/99JPq1aunCxcuKDw8XDNnzlTr1q29LuttS1CJEiV04sSJKz5QANeWasMXB7oEANnctuEtAl0CgAwUGxurQoUKpSsE+b073MmTJ9WpUyetWLFCLpdLu3fvVtmyZfXwww8rf/78ev311/26v0qVKunHH3/UmTNn9Omnn6pHjx5atWqV1y1BoaGhCg0NTTUeEhKikJAQfx8KgCwsPomzUALIXHx2ALIXf17Tfp8drn///goJCdHBgwc9dkHr3LmzFi1a5O/dKWfOnCpfvrxq166tMWPGqEaNGvrPf/7j9/0AAAAAQHr4vSVoyZIlWrx4sa677jqP8QoVKujXX3/9xwWZmccubwAAAACQkfwOQefOnfN6EoITJ0543VUtLc8995xatWqlEiVK6OzZs5o9e7ZWrlz5t7YoAQAAAEB6+L07XMOGDTVjxgz3ZZfLpeTkZL322mtq0qSJX/d17NgxdevWTZUqVVKzZs30/fffa9GiRWrevLm/ZQEAAABAuvi9Jei1115T48aNtXHjRl28eFGDBg3S9u3bderUKX377bd+3df777/v7+oBAAAA4B/xe0tQ1apVtXXrVtWtW1fNmzfXuXPndM8992jz5s0qV65cZtQIAAAAABnG7y1BkhQdHe31R0sBAAAAIKv7WyHo9OnTev/997Vz5065XC5VqVJFvXr1UsGCBTO6PgAAAADIUH7vDrdq1SqVKVNGb7zxhk6fPq1Tp07pjTfeUJkyZbRq1arMqBEAAAAAMozfW4L69OmjTp06adKkSQoODpYkJSUl6YknnlCfPn20bdu2DC8SAAAAADKK31uC9u7dq4EDB7oDkCQFBwdrwIAB2rt3b4YWBwAAAAAZze8QdOONN2rnzp2pxnfu3KmaNWtmRE0AAAAAkGnStTvc1q1b3f//1FNPqW/fvtqzZ49uueUWSdK6dev03//+V2PHjs2cKgEAAAAgg7jMzK60UFBQkFwul660qMvlUlJSUoYVdyWxsbHKly+fYmJiFBERcdXWCyDzlX52QaBLAJDNHRjbJtAlAMhA/mSDdG0J2r9/f4YUBgAAAACBlq4QVKpUqcyuAwAAAACuir/1Y6mHDh3St99+qz/++EPJycke1z311FMZUhgAAAAAZAa/Q9DUqVPVu3dv5cyZU5GRkXK5XO7rXC4XIQgAAABAluZ3CBo6dKiGDh2qIUOGKCjI7zNsAwAAAEBA+Z1i4uLidN999xGAAAAAAFyT/E4yDz30kObMmZMZtQAAAABApvN7d7gxY8aobdu2WrRokW644QaFhIR4XD9u3LgMKw4AAAAAMprfIWj06NFavHixKlWqJEmpTowAAAAAAFmZ3yFo3LhxmjJlinr27JkJ5QAAAABA5vL7mKDQ0FA1aNAgM2oBAAAAgEzndwjq27ev3nzzzcyoBQAAAAAynd+7w61fv17Lly/X/Pnzdf3116c6McJnn32WYcUBAAAAQEbzOwTlz59f99xzT2bUAgAAAACZzu8QNHXq1MyoAwAAAACuCr+PCQIAAACAa5nfW4LKlCmT5u8B7du37x8VBAAAAACZye8Q1K9fP4/LCQkJ2rx5sxYtWqRnnnkmo+oCAAAAgEzhdwjq27ev1/H//ve/2rhx4z8uCAAAAAAyU4YdE9SqVSt9+umnGXV3AAAAAJApMiwEffLJJypYsGBG3R0AAAAAZAq/d4erVauWx4kRzExHjx7V8ePHNXHixAwtDgAAAAAymt8hqH379h6Xg4KCFBUVpcaNG6ty5coZVRcAAAAAZAq/Q9CwYcMyow4AAAAAuCr4sVQAAAAAjpLuLUFBQUFp/kiqJLlcLiUmJv7jogAAAAAgs6Q7BM2dO9fndWvXrtWbb74pM8uQogAAAAAgs6Q7BLVr1y7V2M8//6whQ4boyy+/VNeuXTVy5MgMLQ4AAAAAMtrfOibo8OHDeuSRR1S9enUlJibqxx9/1PTp01WyZMmMrg8AAAAAMpRfISgmJkaDBw9W+fLltX37dn399df68ssvVa1atcyqDwAAAAAyVLp3h3v11Vf1yiuvKDo6WrNmzfK6exwAAAAAZHUuS+fZDIKCgpQ7d27dfvvtCg4O9rncZ599lmHFXUlsbKzy5cunmJgYRUREXLX1Ash8pZ9dEOgSAGRzB8a2CXQJADKQP9kg3VuCunfvfsVTZAMAAABAVpfuEDRt2rRMLAMAAAAAro6/dXY4AAAAALhWEYIAAAAAOAohCAAAAICjEIIAAAAAOAohCAAAAICjEIIAAAAAOAohCAAAAICjBDQEjRkzRnXq1FHevHlVuHBhtW/fXrt27QpkSQAAAACyuYCGoFWrVqlPnz5at26dli5dqsTERN1xxx06d+5cIMsCAAAAkI3lCOTKFy1a5HF56tSpKly4sH744Qc1bNgwQFUBAAAAyM4CGoIuFxMTI0kqWLCg1+vj4+MVHx/vvhwbGytJSkhIUEJCQuYXCOCqCQ22QJcAIJvjswOQvfjzmnaZWZb4pGFmateunU6fPq01a9Z4XWb48OEaMWJEqvGZM2cqLCwss0sEAAAAkEXFxcWpS5cuiomJUURERJrLZpkQ1KdPHy1YsEDffPONrrvuOq/LeNsSVKJECZ04ceKKDxTAtaXa8MWBLgFANrdteItAlwAgA8XGxqpQoULpCkFZYne4f/3rX5o3b55Wr17tMwBJUmhoqEJDQ1ONh4SEKCQkJDNLBHCVxSe5Al0CgGyOzw5A9uLPazqgIcjM9K9//Utz587VypUrVaZMmUCWAwAAAMABAhqC+vTpo5kzZ+qLL75Q3rx5dfToUUlSvnz5lDt37kCWBgAAACCbCujvBE2aNEkxMTFq3LixihYt6v730UcfBbIsAAAAANlYwHeHAwAAAICrKaBbggAAAADgaiMEAQAAAHAUQhAAAAAARyEEAQAAAHAUQhAAAAAARyEEAQAAAHAUQhAAAAAARyEEAQAAAHAUQhAAAAAARyEEAQAAAHAUQhAAAAAARyEEAQAAAHAUQhAAAAAARyEEAQAAAHAUQhAAAAAARyEEAQAAAHAUQhAAAAAARyEEAQAAAHAUQhAAAAAARyEEAQAAAHAUQhAAAAAARyEEAQAAAHAUQhAAAAAARyEEAQAAAHAUQhAAAAAARyEEAQAAAHAUQhAAAAAARyEEAQAAAHAUQhAAAAAARyEEAQAAAHAUQhAAAAAARyEEAQAAAHAUQhAAAAAARyEEAQAAAHAUQhAAAAAARyEEAQAAAHAUQhAAAAAARyEEAQAAAHAUQhAAAAAARyEEAQAAAHAUQhAAAAAARyEEAQAAAHAUQhAAAAAARyEEAQAAAHAUQhAAAAAARyEEAQAAAHAUQhAAAAAARyEEAQAAAHAUQhAAAAAARyEEAQAAAHCUgIag1atX684771SxYsXkcrn0+eefB7IcAAAAAA4Q0BB07tw51ahRQ2+99VYgywAAAADgIDkCufJWrVqpVatWgSwBAAAAgMMENAT5Kz4+XvHx8e7LsbGxkqSEhAQlJCQEqiwAmSA02AJdAoBsjs8OQPbiz2v6mgpBY8aM0YgRI1KNL1myRGFhYQGoCEBmebVuoCsAkN199dVXgS4BQAaKi4tL97IuM8sSX7e6XC7NnTtX7du397mMty1BJUqU0IkTJxQREXEVqkxbteGLA10CAADAP7JteItAl5Al8TnPt6wyZ2JjY1WoUCHFxMRcMRtcU1uCQkNDFRoammo8JCREISEhAajIU3ySK9AlAAAA/CNZ4TNVVsTnPN+yypzxpw5+JwgAAACAowR0S9Cff/6pPXv2uC/v379fP/74owoWLKiSJUsGsDIAAAAA2VVAQ9DGjRvVpEkT9+UBAwZIknr06KFp06YFqCoAAAAA2VlAQ1Djxo2VRc7LAAAAAMAhOCYIAAAAgKMQggAAAAA4CiEIAAAAgKMQggAAAAA4CiEIAAAAgKMQggAAAAA4CiEIAAAAgKMQggAAAAA4CiEIAAAAgKMQggAAAAA4CiEIAAAAgKMQggAAAAA4CiEIAAAAgKMQggAAAAA4CiEIAAAAgKMQggAAAAA4CiEIAAAAgKMQggAAAAA4CiEIAAAAgKMQggAAAAA4CiEIAAAAgKMQggAAAAA4CiEIAAAAgKMQggAAAAA4CiEIAAAAgKMQggAAAAA4CiEIAAAAgKMQggAAAAA4CiEIAAAAgKMQggAAAAA4CiEIAAAAgKMQggAAAAA4CiEIAAAAgKMQggAAAAA4CiEIAAAAgKMQggAAAAA4CiEIAAAAgKMQggAAAAA4CiEIAAAAgKMQggAAAAA4CiEIAAAAgKMQggAAAAA4CiEIAAAAgKMQggAAAAA4CiEIAAAAgKMQggAAAAA4CiEIAAAAgKMQggAAAAA4CiEIAAAAgKMQggAAAAA4SsBD0MSJE1WmTBnlypVLN910k9asWRPokgAAAABkYwENQR999JH69eun559/Xps3b9Ztt92mVq1a6eDBg4EsCwAAAEA2FtAQNG7cOD300EN6+OGHVaVKFU2YMEElSpTQpEmTAlkWAAAAgGwsR6BWfPHiRf3www969tlnPcbvuOMOrV271utt4uPjFR8f774cExMjSTp16pQSEhIyr9h0ypF4LtAlAAAA/CMnT54MdAlZEp/zfMsqc+bs2bOSJDO74rIBC0EnTpxQUlKSihQp4jFepEgRHT161OttxowZoxEjRqQaL1OmTKbUCAAA4DSFXg90BbjWZLU5c/bsWeXLly/NZQIWglK4XC6Py2aWaizFkCFDNGDAAPfl5ORknTp1SpGRkT5v41SxsbEqUaKEfvvtN0VERAS6nCyDvvhGb7yjL97RF9/ojXf0xTd6A38xZ7wzM509e1bFihW74rIBC0GFChVScHBwqq0+f/zxR6qtQylCQ0MVGhrqMZY/f/7MKjFbiIiI4MXhBX3xjd54R1+8oy++0Rvv6Itv9Ab+Ys6kdqUtQCkCdmKEnDlz6qabbtLSpUs9xpcuXar69esHqCoAAAAA2V1Ad4cbMGCAunXrptq1a6tevXp65513dPDgQfXu3TuQZQEAAADIxgIagjp37qyTJ0/qpZde0pEjR1StWjV99dVXKlWqVCDLyhZCQ0M1bNiwVLsPOh198Y3eeEdfvKMvvtEb7+iLb/QG/mLO/HMuS8855AAAAAAgmwjoj6UCAAAAwNVGCAIAAADgKIQgAAAAAI5CCAIAAADgKIQgAACAa1BycnKgS8A1hjnzfwhB4AXhw5EjR5SYmBjoMrI0Ti7piTlzZcyZ/8N8SR/mTGrz58/XxYsXFRTExzikD3MmNTrhYHv37tW2bdsUFBREELrMG2+8obvvvluxsbGBLiVL2bhxo+bMmaOvvvpKv/76q1wuV6BLyjKYM94xZ7xjvvjGnEnbu+++q7vuukvr168PdCm4RjBnfDA40q5duyxXrlyWI0cOW79+vZmZJSUlBbiqrOHtt9+2HDly2MyZM1Ndl5ycHICKsoZ3333XoqKirFKlSlamTBmLioqy2bNnB7qsLIE54x1zxjvmi2/MmbRNnjzZcuTIYZ988kmgS8E1gjnjGyHIgf744w9r3bq1tW7d2jp06GBRUVG2bt06MyMIvfvuuxYaGur+Y3H69Gnbv3+/7dq1y06cOGFmzuzRxo0bLTIy0mbPnm2xsbG2Y8cOGzRokAUFBdlrr71mCQkJgS4xYJgz3jFnvGO++MacSdusWbPM5XLZypUrzczswIED9vHHH9sLL7xgy5YtswMHDgS4QmQ1zJm0EYIc6IcffrD777/fli5dajt27LD77rvPIwglJiYGuMLA2LVrl7lcLnvsscfMzGzbtm3WtGlTq1ixokVHR9tNN91k3333nZk570PKsmXL7IYbbrCTJ096jI8fP96CgoLsvffeMzPn9YU54xtzJjXmS9qYM77FxMRYt27dLDg42I4fP24nTpywSpUqWd26da148eJWrlw5a9u2rW3dujXQpSKLOHPmDHPmCghBDrVp0yb3/2/bts06d+6caotQUlKS4755e/bZZy1fvnw2atQoq1SpkvXu3dsWL15sn376qXXu3Nny589v27ZtC3SZV92CBQvM5XK5vzW6NCiPGDHCQkNDbcuWLYEqL6CYM94xZ7xjvvjGnEnbli1brEuXLhYeHm5Fixa1F154wQ4ePGhmZh9//LHdeuut1rdvX8d+kYnUtm7dypxJAyEIZma2ffv2VEHo2Weftc8++yzAlV0dl+6HP2TIEHO5XPb444/bxYsX3eO7du2yWrVq2csvv5zqNtldbGysNWrUyO677z47evSomf0VlJOTk+3UqVPWsGFDGzFihJk5qy8pmDP/J+UxnjlzhjlzCf7GXBlz5sq2bNli3bt3twceeMBOnjzpsVWsf//+Vrp0aYuNjQ1ghcgKLg0127dvZ874kCPQJ2ZA5tu7d69mzZql/fv3q3nz5rrvvvtSLVO1alUNGzZMknTPPffolltu0dy5c7Vly5arXe5VdfDgQYWEhOjChQsqU6aMJGn06NGqVq2aihUrppCQEJmZXC6Xypcvr6SkJJ07d06SHHHGouTkZAUFBSlv3rzq1KmTpk2bpgkTJmjgwIEqVKiQzEwFChRQrly5dOTIEUnO6IskJSUlKTg4WNJfc6Z69eqKjo527Jw5ffq0goODlZSUpAIFCihfvnzq2LGjZsyY4eg5c3lfJOZLiv3798vMFBcXp2rVqjFnLvPtt99qx44dyp07t8qVK6d69eqpevXqGjx4sBITE1WwYEFJUmJionLkyKHrrrtO5cqVU+7cuQNcOQLlyJEjKlq0qPtvTnBwsKpWraohQ4YoISGBOXMZQlA2t3XrVrVq1UrVq1eXmalLly5KSkpS165d3cukfNCtUqWKhgwZotWrV2vlypXavHmzbrjhhgBWn7mmTJmicePGKSYmRiEhIerYsaOeeeYZRUVFqUuXLu7lUt5sT5w4oYiICFWpUiVQJV8Vc+fO1d69e/X0008rKChICQkJCgkJ0RNPPKHff/9dS5YsUWxsrIYPH66oqChduHBBFy5cUHR0dKBLz3SX9ubSNxlJ6ty5s3uuOG3OzJo1SzNmzNDOnTtVvXp1PfDAA+rUqZOefPJJHT582LFz5vK+dO/eXR07dpQkderUyf17HU6bL5I0Y8YMjR8/XmfPnlViYqIGDx6sxx9/3PFzJsWUKVM0YMAAVatWTQcPHlRQUJA6d+6sV155RVWrVvVYNkeOHLp48aKWLFmi8uXLK0cOPto50axZs/TWW29p4MCBuueeezzeoypXruyxLHPm/wvcRihktt27d9t1111nzz33nPvYnq5du7p3J7hUyi4Hffv2tZw5c9pPP/10tcu9qhYsWGB58uSxDz74wL744gt7//33LW/evNaiRQv78ccfPZZNTEy0I0eO2J133mk333xztt539rPPPjOXy2WFChWysWPHusfj4+Pd/z927FirX7++RUZGWrt27axWrVpWtWrVbH/8mK/eeJsPTpoz06dPt7CwMHvzzTft3//+t/Xs2dMaNWpke/bscS/jxDnjqy/79+9PtayT5ovZX73JlSuXTZ8+3RYtWmT9+/e3W2+91f7880/3MmPGjLF69eo5as6k2LFjh0VHR9v06dPNzGzfvn02ceJEy507tz344IMey547d862bdtmLVq0sBo1arj749TdBZ1q4cKFVqhQIbvuuuusbdu29vnnn7uvu/xEIsyZ/0MIyqYuXrxo//rXv+yRRx6xCxcuuMfvv/9+u/vuu+2uu+6y0aNH2/bt293Xbd++3e644w6PkyZkVy+++KLdddddHmO7d++2YsWKWfPmzW3fvn1mZnb+/HmbNWuWNW7c2G688Ub3/vvZ8UPKjh077LbbbrMnn3zSnn32WatcubKNGjXKff2lQeinn36yV1991fr372+jRo1y/xHNjn0xu3JvLn2TiY+Pd8yc+eGHH6xKlSo2Y8YM99g333xjUVFRtmLFCo9lnTRn/OmLk+aLmdnq1autZMmSNmvWLPfYnDlzrHPnzvbTTz/ZmjVr3ONbt251zJy51HfffWfly5e3I0eOuMcSExNt3rx5lidPHuvbt697fN68eda8eXNr1qxZtp878O7s2bP2yCOP2BNPPGHLly+3Zs2aWYsWLXwGoS+//JI58/8RgrKxHTt2eLzhvvzyyxYcHGyPPvqoDR482CIiIqxr164eLw6nHBzXq1cva9Kkiftyygf8ffv2WWRkpD300EPu67766it7/fXX3W/A2fWbyGPHjtnDDz9smzZtsqNHj9oLL7xglSpV8viwf+lB3JfLzn9E09ObS19HCxcudMScWbBggXXq1Mn27Nnj8S3irbfe6v4W24lzJj19uXS+LFiwwBHzxczsxx9/tBdeeMHjA36LFi2saNGiVrFiRcufP3+qrR2Xyq5z5lLbt2+30NBQ+/LLLz3Gk5OT7YMPPrD8+fPbRx995B5fuXKlez5l57kD39avX29Lly41s7++PGjatGmqIHTp36Kvv/6aOWOEIMfYu3ev3XvvvfbVV1+5x5YtW2Yul8s2b97suM2g8+fPt9DQUJs7d657LOXD2pIlSyw8PDzVN7Zm2fcNOOX5vzQEHzx40J5//vlUH/ZjYmIc9Tsd/vTm9OnTqW6fXeeMmdnOnTvdP8Jn9n8f7OvUqWNvvfVWoMoKuH/Sl+w8X1KcOXPG/f//+te/rHLlyrZx40bbv3+/LV++3HLmzGn/+9//Alhh4CQnJ9uZM2esffv21qlTJ4+9Ncz++hvTunVre+aZZ1Ld1kl/l5G2LVu2pNoidOrUKfePNKdw+pwJCvQxSbg6ypYtq8mTJ6tVq1ayv8KvcuTIoerVqysqKsoRZ9q5VN26dXX//ffr1Vdf1YoVKyRJISEhkqSKFSuqQIECiomJSXW7lIPgs5uU5z9v3ryS/jpZRokSJdS7d2917NhRH3zwgcaOHavz58+rWbNmmjhxYiDLvar86U3z5s315ptvetw+u84ZSapcubIaNWokSe4znEl/PebExET3eMeOHfXll18GrM6rzZ++fPHFFx63zc7zJUW+fPnc/9+wYUN9/fXXuummm1S6dGnVrFlTZcuW1ZkzZwJXYAC5XC7ly5dP3bp106ZNm/TOO+9o9+7d7uvz58+v6Oho7du3L9VtU060AWczM1WvXl2vv/66EhMT9fbbb2vGjBlq3769Ro4cKTNzL+v0OePsR+8QKRM+5fSsLpdLLpdLCxcuVGRkpPLkyRPI8gIiKipKPXr0UMGCBTV8+HAtXLjQfV3BggUVERGhpKSkAFYYWCl/GK+77jr17t1b9957r6ZNm6YyZcro1KlTeuyxxwJcYeBcqTe9e/cOcIWBkfJ3RfrrQ27KKVdbtmypH3/8US1btgxkeQFzpb60bt06kOUFTMr7UseOHVWsWDH35bi4OBUsWFClS5cOYHWBk9KHe+65R4MGDdLnn3+u1157Td9++62kv065vm/fPpUtWzaQZSILc7lcSk5OVo0aNTRhwgTFxcWpZ8+eio2N1YYNG+RyuTyCkJO5jE5kCynfNp45c0b58+dPc9mDBw/q3Xff1RtvvKFvvvkmW58GO+X035e69JvZZcuW6b333tPy5cvVo0cPFS1aVF999ZWOHz+uTZs2ZdtvZb31JS2bN29W06ZNVaVKFa1evVo5cuRw/85AdkNvvPOnL82bN1erVq20bt06/fjjj9q+fbtCQkLoi4P6Ivn/WoqLi1OnTp109uxZLV++PNv+/U3hqz+Xvkd9+OGHevfdd7Vr1y4VL15cSUlJSkpK0qZNm7LlnEHa/H1NXbx4Ubfccoty5sypb775Jtu+P/1tV3v/O2SeTz75xB555BH7/ffffS7z008/WceOHa1ChQq2efPmq1dcgM2fP99jX/tLj4HavXu3vfXWW1apUiW7/fbbrXPnzo45Y8rlffHm9OnT1qJFC6tSpYojDtxOQW+8u1JfEhMT7dZbbzWXy2XVq1d3v5boizP7Ynbl3ly4cMHmzZtnTZs2tZo1azrm72+KNWvWWEJCgsfxGZf+/88//2zz5s2zoUOH2ttvv+2YvzXwzducuVxSUpLdfffdVqhQIUf9vfEHIegal/Jh/rfffrNSpUrZ22+/nebyFy5csOXLl9uBAweuRnkBc+kfhqFDh5rL5bLdu3d7hJ/LTwZx/vx5j8vZ8Y9FevpyuWPHjlmfPn2y/R9ReuPd3+lLnz59rGnTptn6wxp98c3f3hw8eNAmTpxovXv3zva9uVRycrJt2rTJXC6Xbdy40ev1vjglIMLTlebM5Y4cOeKo15S/2B0uG1i2bJl27typ7du364033lDOnDkDXVKW8csvv+iTTz5R3bp1dfvtt/tcLuVlkLILgl2yO0J25E9fLu2DEzaj0xvv0tsXSdq+fbuqVKmioKAg+nIJJ/VF8q83f/75p8LDwyXJ/Sv3TtGhQwcVKlRI//nPf5QrV65Al4NrQHrmzKWvI6e9ptKLEyNkA/Pnz1ffvn21YsUKxcbGBrqcLGPBggWqXLmy3nrrLUVERKS57KUHL6dczq787culsvuHNnrjnT99kaTrr79eQUFBSk5Opi+XcEpfJP97kxKApOx7hrzk5GSPyykn32nQoIG+/fZbxcfHe10OzvVP5sylr6Ps+pr6pwhB2cD48eM1fPhw7d69W/Pnzw90OVlGqVKl9Nhjj+nkyZP69ddfJfHmItGXtNAb7/5uX7L76Vfpi2+8llJLed5/+OEHnT592v3BdMCAAYqPj9fQoUM9lgOYM5kskPviwX8p+wgnJyenOiCuf//+FhoaanPmzAlEaQHl6+DA3bt3W9euXS1Xrly2bNmyNJfNjuiLb/TGO/riHX3xjd6k35dffmnly5e3ypUr2yeffGI7duwwM7O33nrLWrRokeaJjeBMzJnMwzFB1xD7/8cgLFu2TLNmzdIff/yhBg0a6KmnnlJYWJgkqV+/fpo8ebI+/PBDdejQIcAVXx2XnjJy1qxZOnHihJKTk9WlSxdFRUXp8OHDevbZZ7VgwQJ9/PHHatasmd+nmbwW0Rff6I139MU7+uIbvUmbeTm+dPXq1VqwYIE++eQTFSlSRG3btlXdunV1zz336L333lOnTp0CVC2yAubMVRTQCAa/zZ071/Lly2fdu3e3l19+2XLlymWPPfaY/fLLL+5lBgwYYC6Xyz7//PMAVnp1XHr2nKefftry5s1r9erVs3z58lmNGjVs2rRplpiYaAcPHrSePXtaoUKFbMGCBQGs+OqgL77RG+/oi3f0xTd6k7ZLt3pdvHjRzpw543H9xo0bbdq0aVasWDG79957zeVyWe3ate3IkSNXu1RkEcyZq4sQdA1IeaPZunWrlS1b1iZOnGhmZufOnbPIyEgLCgqydu3a2e7du923GTJkiO3cuTMg9QbCkSNHrF69erZx40a7ePGixcfHW6dOnezmm2+2Tz/91Mz++q2F9u3bW8uWLQNc7dVDX3yjN97RF+/oi2/0JrVLP8z++9//ttatW1vNmjXthRdesBMnTngse+rUKfvggw+sa9euljt3bluzZk2q+0D2x5y5+ghBWdjx48ft9OnTZvbXbwIsX77chg0bZmZ//S5Q6dKlrX///vb9999brly57KGHHnLvK+okr7zyit16663Wtm1bO3PmjDs0xsXFWcuWLa1+/fruZX/77TfH/JGgL77RG+/oi3f0xTd6k7YhQ4ZY0aJF7aWXXrIPPvjAQkJCUu29cakOHTpY06ZNr3KVyEqYM1cPISiL2r17t5UpU8Yee+wx++OPP8zM7OTJk7Z161ZLTEy0Dh06WI8ePez8+fOWlJRktWvXNpfLZV27dnX/cKMTJCcn24wZMywqKsquu+46O378uJmZxcfHm5nZTz/9ZDlz5rR169Z53C67vxHTF9/ojXf0xTv64hu98S4lCH7xxRdWoUIF+/bbb83M7JtvvrGQkBALCQmxdu3a2Z49e9y3SXnfnjVrljVs2ND+/PPPq184AoY5ExjOODLxGpOcnKwZM2bowIED2rNnj15++WUdO3ZMBQsW1A033KD4+HgdPnxYDRs2dP9I1q233qqFCxfqxRdfVEhISIAfQeZJOcWqXfLjpp07d9bkyZN15swZDRkyRJLcPxgbFxenYsWKKU+ePB73k90OyqUvvtEb7+iLd/TFN3qTtq1bt+rkyZNyuVxKTExUcHCw+vXrp/r162vhwoVq27atpk2bpu+++06LFi3S2LFj9fPPP0uS+317zZo12r9/v/v3YJC9MWcCLJAJDL5t3rzZ8ufPb82aNbMWLVpYv3793N+yHTt2zIoWLWp9+vSx9evX25AhQ6xEiRLuXeeyq5kzZ1r37t1t+/btFhsb63FdfHy8ffTRR5Y7d27r1q2bLV261DZs2GCtW7e2OnXqZOtvHumLb/TGO/riHX3xjd6kbe7cuZY7d27r06ePx94bBw8etNOnT1v9+vVtzJgxZmb2xx9/WLly5czlctngwYPd9xETE2NPPfWUbdiwISCPAVcXcybwCEFZTHJysiUmJpqZ2YsvvmgDBw60F1980W666Sbr16+fHT161MzM5s2bZyEhIVa2bFkrXry4bdq0KZBlZ7ozZ85YuXLlLCoqyqpVq2Y9evSwKVOmeCxz4cIF++ijjyx//vzmcrmsf//+1qVLF7tw4YKZmbuv2Ql98Y3eeEdfvKMvvtGbtF24cMEefPBBc7lc1qpVK3vqqafc79VmZgcOHLCqVavaokWLzMzsxIkTNmDAANu0aZMlJCR43Nfll5E9MWeyhhyB3hKFv5w6dUqJiYkqXLiwe1eBUqVK6d1339WyZcsUGRmp//3vfxo7dqyeffZZ3Xnnndq1a5diY2NVpEgRRUdHB/gRZK7w8HB16tRJpUqVUp06dbR8+XL1799fixcvVrVq1TRo0CCFhoaqU6dOCgoK0mOPPab4+Hh9+OGHkqSLFy+6d9HITuiLb/TGO/riHX3xjd6kLTQ0VI8++qi++OILBQcHa/v27Ro7dqyef/55FSpUSC6XS4cOHdIXX3yh8+fP6+2331ZsbKz+/e9/u3eDypHjr49jKf9F9sacySICncJg9ssvv1i5cuXs+uuvt3nz5tnPP//svq5JkyY2aNAgMzMbOXKk1a1b1wYOHGiHDx8OVLkBs3DhQouIiLAtW7aYmdn58+dt6NCh5nK5rGbNmjZq1Cj3dSm7ZvTr1y+QJV8V9MU3euMdffGOvvhGb7xLSkqyxMRES05OtgEDBtioUaNs5MiRduONN6baeyMiIsKqVq1qt956q/ug9kt/awnOwJzJOghBAZaUlGTPPfec5cmTx4oWLWo33nij3Xvvvfb4449bTEyMvffee9arVy/32XZefvllq1ixoj333HOO2M/6cn369LEnnnjCfblq1arWvn17Gzx4sLVo0cJcLpdNmTLFEhMT7eOPP061/2x2RV98ozfe0Rfv6Itv9Ob/7Nixw37//XePsXHjxtlNN91k8fHxNm7cOKtTp47Hh9rDhw/bwYMH3e/d7MbkLMyZrIcQlAUcPnzY+vbta+3bt7cHH3zQli5darVr17a77rrLbr/9dvcbS4rXXnvN9u/fH7iCA+i9996zBg0a2MmTJ61WrVrWoEEDi4mJMbO/frDv448/dv+RSEhIsM8++8wRPxpLX3yjN97RF+/oi2/05i+ffPKJhYSEWOnSpW3mzJkeB6U3adLExo4da2ZmL730kt188802YMCAVHtvOPFLTCdjzmRNhKAs4tChQ9anTx+rX7++TZo0yczMFixYYAMHDjSXy2Vz5swJcIVZR506dczlclmjRo3s5MmTXpdx4rcl9MU3euMdffGOvvjm9N7Ex8fb448/bsWLF7dy5cpZo0aNrG3bttatWzf79ddfbdSoUfbYY4+5l3/55ZetbNmy9p///CeAVSOQmDNZFyEoCzl8+LA9+eSTdtNNN9n48ePd43v37g1cUVlIyn6wH3zwgVWrVs02btzoMe5U9MU3euMdffGOvvhGb/7PkSNH7KmnnrL27dvb448/bhs2bLCGDRvaPffcYzVr1jSXy2WffPKJe/mpU6dm67Pj4cqYM1lT9vzFsmtU0aJF9fzzz6tevXqaNWuWRo8eLUkqW7YsP4Klv36YT5KaNGmikydPaunSpR7jTkVffKM33tEX7+iLb/Tm/0RHR2vw4MEqXry4Nm3apE2bNmnVqlUaOHCgWrVqpRIlSqhy5cru5Xv27Kng4GDexx2MOZNFBTqFIbUjR47Yk08+aQ0aNLChQ4cGupws6Y033rDIyEjbvn17oEvJUuiLb/TGO/riHX3xjd785dK9N8aNG+ceT9lNkGM4cDnmTNbClqAsKDo6Ws8//7wqVKigtWvX6uTJk4EuKctp3bq12rRp4/HNCehLWuiNd/TFO/riG735y6V7b8yePVtjxoyRJBUsWFBJSUnu3/wDUjBnshaXmVmgi4B3x44dkyQVKVIkwJVkTWYml8ulpKQkBQcHB7qcLIO++EZvvKMv3tEX3+jN/zl69KhGjx6tH374QU2bNtXIkSMDXRKyOOZM1kDkzMKKFClCAEpDyr7oTn8Dvhx98Y3eeEdfvKMvvtGb/xMdHa3nnntO5cqV07Fjx8R3y7gS5kzWwJYgAACAf+jUqVPKnz+/goKC3FvKgLQwZwKLEAQAAJBBkpOTObYDfmHOBAYhCAAAAICjEDsBAAAAOAohCAAAAICjEIIAAAAAOAohCAAAAICjEIIAAAAAOAohCAAAAICjEIIAAPChdOnSmjBhwj+6j+HDh6tmzZoZUg8AIGMQggAA6dKzZ0+5XC65XC6FhISoSJEiat68uaZMmaLk5GS/7mvatGnKnz9/5hSagTZs2KBHH3000GUAADIYIQgAkG4tW7bUkSNHdODAAS1cuFBNmjRR37591bZtWyUmJga6vAxz8eJFSVJUVJTCwsICXA0AIKMRggAA6RYaGqro6GgVL15cN954o5577jl98cUXWrhwoaZNm+Zebty4cbrhhhuUJ08elShRQk888YT+/PNPSdLKlSvVq1cvxcTEuLcsDR8+XNJf4WPQoEEqXry48uTJo5tvvlkrV65MsyaXy6VJkyapVatWyp07t8qUKaM5c+Z4LHPo0CF17txZBQoUUGRkpNq1a6cDBw64r+/Zs6fat2+vMWPGqFixYqpYsaKk1LvDHTx4UO3atVN4eLgiIiLUqVMnHTt2zGNdY8eOVZEiRZQ3b1499NBDunDhgn9NBgBkOkIQAOAfadq0qWrUqKHPPvvMPRYUFKQ33nhD27Zt0/Tp07V8+XINGjRIklS/fn1NmDBBEREROnLkiI4cOaKnn35aktSrVy99++23mj17trZu3ap7771XLVu21O7du9Os4cUXX1SHDh20ZcsWPfDAA7r//vu1c+dOSVJcXJyaNGmi8PBwrV69Wt98843Cw8PVsmVL9xYfSfr666+1c+dOLV26VPPnz0+1DjNT+/btderUKa1atUpLly7V3r171blzZ/cyH3/8sYYNG6ZRo0Zp48aNKlq0qCZOnPj3mwsAyBwGAEA69OjRw9q1a+f1us6dO1uVKlV83vbjjz+2yMhI9+WpU6davnz5PJbZs2ePuVwuO3TokMd4s2bNbMiQIT7vW5L17t3bY+zmm2+2xx9/3MzM3n//fatUqZIlJye7r4+Pj7fcuXPb4sWL3Y+tSJEiFh8f73E/pUqVsvHjx5uZ2ZIlSyw4ONgOHjzovn779u0mydavX29mZvXq1fNaS40aNXzWDwC4+tgSBAD4x8xMLpfLfXnFihVq3ry5ihcvrrx586p79+46efKkzp075/M+Nm3aJDNTxYoVFR4e7v63atUq7d27N83116tXL9XllC1BP/zwg/bs2aO8efO677NgwYK6cOGCx/3ecMMNypkzp8917Ny5UyVKlFCJEiXcY1WrVlX+/Pnd69q5c6fXWgAAWUuOQBcAALj27dy5U2XKlJEk/frrr2rdurV69+6tkSNHqmDBgvrmm2/00EMPKSEhwed9JCcnKzg4WD/88IOCg4M9rgsPD/e7ppRQlpycrJtuukkffvhhqmWioqLc/58nT5407+/yoHelcQBA1sWWIADAP7J8+XL99NNP6tChgyRp48aNSkxM1Ouvv65bbrlFFStW1OHDhz1ukzNnTiUlJXmM1apVS0lJSfrjjz9Uvnx5j3/R0dFp1rBu3bpUlytXrixJuvHGG7V7924VLlw41f3my5cv3Y+zatWqOnjwoH777Tf32I4dOxQTE6MqVapIkqpUqeK1FgBA1kIIAgCkW3x8vI4ePapDhw5p06ZNGj16tNq1a6e2bduqe/fukqRy5copMTFRb775pvbt26cPPvhAkydP9rif0qVL688//9TXX3+tEydOKC4uThUrVlTXrl3VvXt3ffbZZ9q/f782bNigV155RV999VWadc2ZM0dTpkzRL7/8omHDhmn9+vV68sknJUldu3ZVoUKF1K5dO61Zs0b79+/XqlWr1LdvX/3+++/pfuy33367qlevrq5du2rTpk1av369unfvrkaNGql27dqSpL59+2rKlCketWzfvt2fFgMArgJCEAAg3RYtWqSiRYuqdOnSatmypVasWKE33nhDX3zxhXsXtpo1a2rcuHF65ZVXVK1aNX344YcaM2aMx/3Ur19fvXv3VufOnRUVFaVXX31VkjR16lR1795dAwcOVKVKlXTXXXfp+++/9zgOx5sRI0Zo9uzZql69uqZPn64PP/xQVatWlSSFhYVp9erVKlmypO655x5VqVJFDz74oM6fP6+IiIh0P3aXy6XPP/9cBQoUUMOGDXX77berbNmy+uijj9zLdO7cWUOHDtXgwYN100036ddff9Xjjz+e7nUAAK4Ol5lZoIsAAODvcrlcmjt3rtq3bx/oUgAA1wi2BAEAAABwFEIQAAAAAEfhFNkAgGsae3UDAPzFliAAAAAAjkIIAgAAAOAohCAAAAAAjkIIAgAAAOAohCAAAAAAjkIIAgAAAOAohCAAAAAAjkIIAgAAAOAo/w+rSlYT9kQ2ZgAAAABJRU5ErkJggg==",
       "text/plain": [
        "<Figure size 1000x500 with 1 Axes>"
       ]
@@ -506,8 +604,7 @@
     "tick_days = freshet_counts.index\n",
     "tick_labels = [\n",
     "    (pd.to_datetime(\"2001-01-01\") + pd.to_timedelta(day - 1, unit=\"D\")).strftime(\"%b %d\")\n",
-    "    for day in tick_days\n",
-    "]\n",
+    "    for day in tick_days]\n",
     "\n",
     "plt.xticks(tick_days, tick_labels, rotation=45)\n",
     "\n",
@@ -550,7 +647,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 37,
    "id": "9e315bb0-0085-43e0-b0a0-0d23d6bc4ba0",
    "metadata": {},
    "outputs": [],
@@ -567,15 +664,12 @@
     "\n",
     "# Load ERA5 data\n",
     "\n",
-    "# load_location = forcing_path_ERA5 / \"work\" / \"diagnostic\" / \"script\" \n",
-    "# ERA5_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=load_location)\n",
-    "\n",
     "ERA5_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=forcing_path_ERA5)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 38,
    "id": "e90fb4e3-9f06-405c-bc08-fcbc28c0ef7c",
    "metadata": {},
    "outputs": [],
@@ -597,26 +691,65 @@
     "temp_data = pd.DataFrame({\n",
     "    \"Date\": temp_data.index,\n",
     "    \"Temp\": temp_data.values,\n",
-    "    \"year\": temp_data.index.year\n",
-    "})"
+    "    \"year\": temp_data.index.year})"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 39,
    "id": "54ebf5d5-9ad6-4a37-8301-f204b1059c06",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">   year AFDD_critical_date       AFDD       Temp\n",
-       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2014</span>         <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2014</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">11</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">10</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">41.426453</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">-13.859253</span>\n",
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">    year AFDD_critical_date       AFDD       Temp\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0</span>   <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1999</span>         <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1999</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">11</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">13</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">30.221619</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">-1.962982</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>   <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2000</span>         <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2000</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">11</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">06</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">36.068024</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">-10.174591</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>   <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2001</span>         <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2001</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">10</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">30</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">30.810608</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">-1.809998</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>   <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2002</span>         <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2002</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">10</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">28</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">33.166534</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">-5.441467</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>   <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2003</span>         <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2003</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">11</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">01</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">34.717468</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">-7.344391</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>   <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2004</span>         <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2004</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">10</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">22</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">31.703094</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">-4.081665</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6</span>   <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2005</span>         <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2005</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">11</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">12</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">30.604706</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">-5.060822</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7</span>   <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2006</span>         <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2006</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">10</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">31</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">31.405975</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">-8.236450</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">8</span>   <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2007</span>         <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2007</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">11</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">14</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">33.085419</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">-3.336060</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">9</span>   <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2008</span>         <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2008</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">11</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">17</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">33.410309</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">-4.401947</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">10</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2009</span>         <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2009</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">10</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">12</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">31.520508</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">-7.005463</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">11</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2010</span>         <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2010</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">11</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">12</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">33.449890</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">-3.697540</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">12</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2011</span>         <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2011</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">11</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">08</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">31.026093</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">-2.132233</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">13</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2012</span>         <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2012</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">10</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">25</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">30.493774</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">-4.729126</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">14</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2013</span>         <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2013</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">11</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">05</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">34.175323</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">-10.181244</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">15</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2014</span>         <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2014</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">11</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">10</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">41.426453</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">-13.859253</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">16</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2015</span>         <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2015</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">11</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">17</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">33.754425</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">-3.863159</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">17</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2016</span>         <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2016</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">11</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">01</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">31.235596</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">-3.254517</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">18</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2017</span>         <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2017</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">11</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">03</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">42.753876</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">-14.209076</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">19</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2018</span>         <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2018</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">11</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">02</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">32.042358</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">-2.240051</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">20</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2019</span>         <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2019</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">10</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">29</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">41.300140</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">-11.644196</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
-       "   year AFDD_critical_date       AFDD       Temp\n",
-       "\u001b[1;36m0\u001b[0m  \u001b[1;36m2014\u001b[0m         \u001b[1;36m2014\u001b[0m-\u001b[1;36m11\u001b[0m-\u001b[1;36m10\u001b[0m  \u001b[1;36m41.426453\u001b[0m \u001b[1;36m-13.859253\u001b[0m\n"
+       "    year AFDD_critical_date       AFDD       Temp\n",
+       "\u001b[1;36m0\u001b[0m   \u001b[1;36m1999\u001b[0m         \u001b[1;36m1999\u001b[0m-\u001b[1;36m11\u001b[0m-\u001b[1;36m13\u001b[0m  \u001b[1;36m30.221619\u001b[0m  \u001b[1;36m-1.962982\u001b[0m\n",
+       "\u001b[1;36m1\u001b[0m   \u001b[1;36m2000\u001b[0m         \u001b[1;36m2000\u001b[0m-\u001b[1;36m11\u001b[0m-\u001b[1;36m06\u001b[0m  \u001b[1;36m36.068024\u001b[0m \u001b[1;36m-10.174591\u001b[0m\n",
+       "\u001b[1;36m2\u001b[0m   \u001b[1;36m2001\u001b[0m         \u001b[1;36m2001\u001b[0m-\u001b[1;36m10\u001b[0m-\u001b[1;36m30\u001b[0m  \u001b[1;36m30.810608\u001b[0m  \u001b[1;36m-1.809998\u001b[0m\n",
+       "\u001b[1;36m3\u001b[0m   \u001b[1;36m2002\u001b[0m         \u001b[1;36m2002\u001b[0m-\u001b[1;36m10\u001b[0m-\u001b[1;36m28\u001b[0m  \u001b[1;36m33.166534\u001b[0m  \u001b[1;36m-5.441467\u001b[0m\n",
+       "\u001b[1;36m4\u001b[0m   \u001b[1;36m2003\u001b[0m         \u001b[1;36m2003\u001b[0m-\u001b[1;36m11\u001b[0m-\u001b[1;36m01\u001b[0m  \u001b[1;36m34.717468\u001b[0m  \u001b[1;36m-7.344391\u001b[0m\n",
+       "\u001b[1;36m5\u001b[0m   \u001b[1;36m2004\u001b[0m         \u001b[1;36m2004\u001b[0m-\u001b[1;36m10\u001b[0m-\u001b[1;36m22\u001b[0m  \u001b[1;36m31.703094\u001b[0m  \u001b[1;36m-4.081665\u001b[0m\n",
+       "\u001b[1;36m6\u001b[0m   \u001b[1;36m2005\u001b[0m         \u001b[1;36m2005\u001b[0m-\u001b[1;36m11\u001b[0m-\u001b[1;36m12\u001b[0m  \u001b[1;36m30.604706\u001b[0m  \u001b[1;36m-5.060822\u001b[0m\n",
+       "\u001b[1;36m7\u001b[0m   \u001b[1;36m2006\u001b[0m         \u001b[1;36m2006\u001b[0m-\u001b[1;36m10\u001b[0m-\u001b[1;36m31\u001b[0m  \u001b[1;36m31.405975\u001b[0m  \u001b[1;36m-8.236450\u001b[0m\n",
+       "\u001b[1;36m8\u001b[0m   \u001b[1;36m2007\u001b[0m         \u001b[1;36m2007\u001b[0m-\u001b[1;36m11\u001b[0m-\u001b[1;36m14\u001b[0m  \u001b[1;36m33.085419\u001b[0m  \u001b[1;36m-3.336060\u001b[0m\n",
+       "\u001b[1;36m9\u001b[0m   \u001b[1;36m2008\u001b[0m         \u001b[1;36m2008\u001b[0m-\u001b[1;36m11\u001b[0m-\u001b[1;36m17\u001b[0m  \u001b[1;36m33.410309\u001b[0m  \u001b[1;36m-4.401947\u001b[0m\n",
+       "\u001b[1;36m10\u001b[0m  \u001b[1;36m2009\u001b[0m         \u001b[1;36m2009\u001b[0m-\u001b[1;36m10\u001b[0m-\u001b[1;36m12\u001b[0m  \u001b[1;36m31.520508\u001b[0m  \u001b[1;36m-7.005463\u001b[0m\n",
+       "\u001b[1;36m11\u001b[0m  \u001b[1;36m2010\u001b[0m         \u001b[1;36m2010\u001b[0m-\u001b[1;36m11\u001b[0m-\u001b[1;36m12\u001b[0m  \u001b[1;36m33.449890\u001b[0m  \u001b[1;36m-3.697540\u001b[0m\n",
+       "\u001b[1;36m12\u001b[0m  \u001b[1;36m2011\u001b[0m         \u001b[1;36m2011\u001b[0m-\u001b[1;36m11\u001b[0m-\u001b[1;36m08\u001b[0m  \u001b[1;36m31.026093\u001b[0m  \u001b[1;36m-2.132233\u001b[0m\n",
+       "\u001b[1;36m13\u001b[0m  \u001b[1;36m2012\u001b[0m         \u001b[1;36m2012\u001b[0m-\u001b[1;36m10\u001b[0m-\u001b[1;36m25\u001b[0m  \u001b[1;36m30.493774\u001b[0m  \u001b[1;36m-4.729126\u001b[0m\n",
+       "\u001b[1;36m14\u001b[0m  \u001b[1;36m2013\u001b[0m         \u001b[1;36m2013\u001b[0m-\u001b[1;36m11\u001b[0m-\u001b[1;36m05\u001b[0m  \u001b[1;36m34.175323\u001b[0m \u001b[1;36m-10.181244\u001b[0m\n",
+       "\u001b[1;36m15\u001b[0m  \u001b[1;36m2014\u001b[0m         \u001b[1;36m2014\u001b[0m-\u001b[1;36m11\u001b[0m-\u001b[1;36m10\u001b[0m  \u001b[1;36m41.426453\u001b[0m \u001b[1;36m-13.859253\u001b[0m\n",
+       "\u001b[1;36m16\u001b[0m  \u001b[1;36m2015\u001b[0m         \u001b[1;36m2015\u001b[0m-\u001b[1;36m11\u001b[0m-\u001b[1;36m17\u001b[0m  \u001b[1;36m33.754425\u001b[0m  \u001b[1;36m-3.863159\u001b[0m\n",
+       "\u001b[1;36m17\u001b[0m  \u001b[1;36m2016\u001b[0m         \u001b[1;36m2016\u001b[0m-\u001b[1;36m11\u001b[0m-\u001b[1;36m01\u001b[0m  \u001b[1;36m31.235596\u001b[0m  \u001b[1;36m-3.254517\u001b[0m\n",
+       "\u001b[1;36m18\u001b[0m  \u001b[1;36m2017\u001b[0m         \u001b[1;36m2017\u001b[0m-\u001b[1;36m11\u001b[0m-\u001b[1;36m03\u001b[0m  \u001b[1;36m42.753876\u001b[0m \u001b[1;36m-14.209076\u001b[0m\n",
+       "\u001b[1;36m19\u001b[0m  \u001b[1;36m2018\u001b[0m         \u001b[1;36m2018\u001b[0m-\u001b[1;36m11\u001b[0m-\u001b[1;36m02\u001b[0m  \u001b[1;36m32.042358\u001b[0m  \u001b[1;36m-2.240051\u001b[0m\n",
+       "\u001b[1;36m20\u001b[0m  \u001b[1;36m2019\u001b[0m         \u001b[1;36m2019\u001b[0m-\u001b[1;36m10\u001b[0m-\u001b[1;36m29\u001b[0m  \u001b[1;36m41.300140\u001b[0m \u001b[1;36m-11.644196\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -652,21 +785,181 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
+       "      <td>1999</td>\n",
+       "      <td>1999-11-13</td>\n",
+       "      <td>30.221619</td>\n",
+       "      <td>-1.962982</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2000</td>\n",
+       "      <td>2000-11-06</td>\n",
+       "      <td>36.068024</td>\n",
+       "      <td>-10.174591</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2001</td>\n",
+       "      <td>2001-10-30</td>\n",
+       "      <td>30.810608</td>\n",
+       "      <td>-1.809998</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2002</td>\n",
+       "      <td>2002-10-28</td>\n",
+       "      <td>33.166534</td>\n",
+       "      <td>-5.441467</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2003</td>\n",
+       "      <td>2003-11-01</td>\n",
+       "      <td>34.717468</td>\n",
+       "      <td>-7.344391</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>2004</td>\n",
+       "      <td>2004-10-22</td>\n",
+       "      <td>31.703094</td>\n",
+       "      <td>-4.081665</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>2005</td>\n",
+       "      <td>2005-11-12</td>\n",
+       "      <td>30.604706</td>\n",
+       "      <td>-5.060822</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>2006</td>\n",
+       "      <td>2006-10-31</td>\n",
+       "      <td>31.405975</td>\n",
+       "      <td>-8.236450</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>2007</td>\n",
+       "      <td>2007-11-14</td>\n",
+       "      <td>33.085419</td>\n",
+       "      <td>-3.336060</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>2008</td>\n",
+       "      <td>2008-11-17</td>\n",
+       "      <td>33.410309</td>\n",
+       "      <td>-4.401947</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>2009</td>\n",
+       "      <td>2009-10-12</td>\n",
+       "      <td>31.520508</td>\n",
+       "      <td>-7.005463</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>2010</td>\n",
+       "      <td>2010-11-12</td>\n",
+       "      <td>33.449890</td>\n",
+       "      <td>-3.697540</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>2011</td>\n",
+       "      <td>2011-11-08</td>\n",
+       "      <td>31.026093</td>\n",
+       "      <td>-2.132233</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>2012</td>\n",
+       "      <td>2012-10-25</td>\n",
+       "      <td>30.493774</td>\n",
+       "      <td>-4.729126</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>2013</td>\n",
+       "      <td>2013-11-05</td>\n",
+       "      <td>34.175323</td>\n",
+       "      <td>-10.181244</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
        "      <td>2014</td>\n",
        "      <td>2014-11-10</td>\n",
        "      <td>41.426453</td>\n",
        "      <td>-13.859253</td>\n",
        "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>2015</td>\n",
+       "      <td>2015-11-17</td>\n",
+       "      <td>33.754425</td>\n",
+       "      <td>-3.863159</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>2016</td>\n",
+       "      <td>2016-11-01</td>\n",
+       "      <td>31.235596</td>\n",
+       "      <td>-3.254517</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>2017</td>\n",
+       "      <td>2017-11-03</td>\n",
+       "      <td>42.753876</td>\n",
+       "      <td>-14.209076</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>2018</td>\n",
+       "      <td>2018-11-02</td>\n",
+       "      <td>32.042358</td>\n",
+       "      <td>-2.240051</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>2019</td>\n",
+       "      <td>2019-10-29</td>\n",
+       "      <td>41.300140</td>\n",
+       "      <td>-11.644196</td>\n",
+       "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "   year AFDD_critical_date       AFDD       Temp\n",
-       "0  2014         2014-11-10  41.426453 -13.859253"
+       "    year AFDD_critical_date       AFDD       Temp\n",
+       "0   1999         1999-11-13  30.221619  -1.962982\n",
+       "1   2000         2000-11-06  36.068024 -10.174591\n",
+       "2   2001         2001-10-30  30.810608  -1.809998\n",
+       "3   2002         2002-10-28  33.166534  -5.441467\n",
+       "4   2003         2003-11-01  34.717468  -7.344391\n",
+       "5   2004         2004-10-22  31.703094  -4.081665\n",
+       "6   2005         2005-11-12  30.604706  -5.060822\n",
+       "7   2006         2006-10-31  31.405975  -8.236450\n",
+       "8   2007         2007-11-14  33.085419  -3.336060\n",
+       "9   2008         2008-11-17  33.410309  -4.401947\n",
+       "10  2009         2009-10-12  31.520508  -7.005463\n",
+       "11  2010         2010-11-12  33.449890  -3.697540\n",
+       "12  2011         2011-11-08  31.026093  -2.132233\n",
+       "13  2012         2012-10-25  30.493774  -4.729126\n",
+       "14  2013         2013-11-05  34.175323 -10.181244\n",
+       "15  2014         2014-11-10  41.426453 -13.859253\n",
+       "16  2015         2015-11-17  33.754425  -3.863159\n",
+       "17  2016         2016-11-01  31.235596  -3.254517\n",
+       "18  2017         2017-11-03  42.753876 -14.209076\n",
+       "19  2018         2018-11-02  32.042358  -2.240051\n",
+       "20  2019         2019-10-29  41.300140 -11.644196"
       ]
      },
-     "execution_count": 32,
+     "execution_count": 39,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -675,19 +968,15 @@
     "AFDD_critical = 30\n",
     "AFDD_critical_dates = []\n",
     "\n",
-    "# min_subzero_days = 5\n",
-    "# consec_days = 7\n",
-    "\n",
     "start_year = start_date.year\n",
     "end_year = end_date.year\n",
     "\n",
     "for year in range(start_year, end_year + 1):\n",
     "\n",
-    "    # Set start date to 1 August\n",
+    "    # Set start date to 1 October\n",
     "    year_data = temp_data[\n",
     "        (temp_data[\"year\"] == year) &\n",
-    "        (temp_data[\"Date\"] >= pd.to_datetime(f\"{year}-10-01\"))\n",
-    "    ]\n",
+    "        (temp_data[\"Date\"] >= pd.to_datetime(f\"{year}-10-01\"))]\n",
     "\n",
     "    AFDD = 0\n",
     "    \n",
@@ -715,36 +1004,18 @@
     "\n",
     "print(AFDD_critical_dates)\n",
     "\n",
-    "        # # Criteria 1: 5 of 7 consecutive days must be sub-zero\n",
-    "        # if i >= consec_days - 1:\n",
-    "        #     last_7_days = year_data.iloc[i - consec_days + 1 : i + 1]\n",
-    "        #     subzero_days = 0\n",
-    "\n",
-    "        #     for j in range(len(last_7_days)):\n",
-    "        #         if last_7_days.iloc[j][\"Temp\"] < 0:\n",
-    "        #             subzero_days += 1\n",
-    "\n",
-    "        #      if AFDD >= AFDD_critical and subzero_days >= required_subzero_days:\n",
-    "        #         AFDD_critical_dates.append({\n",
-    "        #             \"year\": year,\n",
-    "        #             \"AFDD_critical_date\": date,\n",
-    "        #             \"AFDD\": AFDD,\n",
-    "        #             \"Subzero days in 7 day period\": subzero_days\n",
-    "        #     })\n",
-    "        #     break\n",
-    "\n",
     "AFDD_critical_dates"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 48,
    "id": "861083f4-0521-4186-a73d-9c2aca2befa3",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 1000x500 with 1 Axes>"
       ]
@@ -773,11 +1044,10 @@
     "     344, 349, 354, 359, 364, 366],\n",
     "    [\"Oct 1\", \"Oct 6\", \"Oct 11\", \"Oct 16\", \"Oct 21\", \"Oct 26\", \"Oct 31\",\n",
     "     \"Nov 5\", \"Nov 10\", \"Nov 15\", \"Nov 20\", \"Nov 25\", \"Nov 30\", \"Dec 5\",\n",
-    "     \"Dec 10\", \"Dec 15\", \"Dec 20\", \"Dec 25\", \"Dec 30\", \"Dec 31\"],\n",
-    ")\n",
+    "     \"Dec 10\", \"Dec 15\", \"Dec 20\", \"Dec 25\", \"Dec 30\", \"Dec 31\"],)\n",
     "\n",
     "# Prevent y-axis from showing decimal years\n",
-    "# plt.yticks(range(start_year, end_year + 1))\n",
+    "plt.yticks(range(start_year, end_year + 1))\n",
     "\n",
     "# Automate x-axis range to fit data\n",
     "plt.xlim((AFDD_critical_dates[\"day_of_year\"].min()-1), (AFDD_critical_dates[\"day_of_year\"].max()+1))\n",
@@ -787,7 +1057,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 47,
    "id": "7995d878-10ac-4e6e-aa0f-b8e281d5aaf6",
    "metadata": {},
    "outputs": [
@@ -810,21 +1080,11 @@
     "plt.figure(figsize=(10, 5))\n",
     "plt.title(f\"Temperature time series showing date of river freeze-up (AFDD >= {AFDD_critical}) for 2014\")\n",
     "plt.scatter(year_data[\"Date\"], year_data[\"Temp\"], marker=\"o\")\n",
-    "plt.axhline(\n",
-    "    y=0,\n",
-    "    linestyle=\":\",\n",
-    "    color=\"black\",\n",
-    "    label=\"0°C\"\n",
-    ")\n",
+    "plt.axhline(y=0, linestyle=\":\", color=\"black\", label=\"0°C\")\n",
     "\n",
     "# Extract & plot critical AFDD date for selected year\n",
     "AFDD_critical_date = AFDD_critical_dates.loc[AFDD_critical_dates[\"year\"] == selected_year, \"AFDD_critical_date\"].iloc[0]\n",
-    "plt.axvline(\n",
-    "    x=AFDD_critical_date,\n",
-    "    linestyle=\":\",\n",
-    "    color=\"orange\",\n",
-    "    label=\"River freeze-up\"\n",
-    ")\n",
+    "plt.axvline(x=AFDD_critical_date, linestyle=\":\", color=\"orange\", label=\"River freeze-up\")\n",
     "\n",
     "plt.xlabel(\"Date\")\n",
     "plt.ylabel(\"Temperature (°C)\")\n",
diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step3_Calibration_HBV.ipynb b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step3_Calibration_HBV.ipynb
index b2902e3b..94c3bd32 100644
--- a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step3_Calibration_HBV.ipynb
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step3_Calibration_HBV.ipynb
@@ -84,17 +84,17 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Create pathways for ERA 5 forcings\n",
+    "# # Create pathways for ERA 5 forcings\n",
     "\n",
-    "forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"ERA5-1999-2019\"\n",
+    "# forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"ERA5-1999-2019\"\n",
     "\n",
-    "discharge_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
+    "# discharge_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
     "\n",
-    "shape_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
-    "basin_size = 132572\n",
+    "# shape_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "# basin_size = 132572\n",
     "\n",
-    "calibration_temp = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"calibration_temp\"\n",
-    "calibration_temp.mkdir(parents=True, exist_ok=True)"
+    "# calibration_temp = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"calibration_temp\"\n",
+    "# calibration_temp.mkdir(parents=True, exist_ok=True)"
    ]
   },
   {
@@ -104,17 +104,17 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# # Create pathways for ERA 5 forcings\n",
+    "# Create pathways for ERA 5 forcings\n",
     "\n",
-    "# forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"forcings\" / \"ERA5-1999-2019\"\n",
+    "forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"forcings\" / \"ERA5\" / \"ERA5-1999-2019\"\n",
     "\n",
-    "# discharge_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
+    "discharge_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
     "\n",
-    "# shape_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
-    "# basin_size = 132572\n",
+    "shape_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "basin_size = 132572\n",
     "\n",
-    "# calibration_temp = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"calibration_temp\"\n",
-    "# calibration_temp.mkdir(parents=True, exist_ok=True)"
+    "hbv_config = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"hbv_config\"\n",
+    "hbv_config.mkdir(parents=True, exist_ok=True)"
    ]
   },
   {
@@ -334,18 +334,6 @@
     "    \"FM\":    (0.3, 1.4),          # Snowmelt factor\n",
     "}\n",
     "\n",
-    "# parameter_ranges = {\n",
-    "#     \"Imax\":  (6.27, 6.28),            # Maximum interception storage\n",
-    "#     \"Ce\":    (0.48, 0.49),       # Evaporation correction factor\n",
-    "#     \"Sumax\": (174, 175),         # Maximum soil moisture storage\n",
-    "#     \"Beta\":  (1.95, 1.96),          # Soil runoff parameter\n",
-    "#     \"Pmax\":  (0.33, 0.34),            # Maximum percolation rate\n",
-    "#     \"Tlag\":  (6.19, 6.2),           # Time lag\n",
-    "#     \"Kf\":    (0.07, 0.08),       # Fast reservoir recession coefficient\n",
-    "#     \"Ks\":    (0.004, 0.0045),     # Slow reservoir recession coefficient\n",
-    "#     \"FM\":    (0.4, 0.41),          # Snowmelt factor\n",
-    "# }\n",
-    "\n",
     "# Convert to arrays\n",
     "parameter_names = list(parameter_ranges.keys())\n",
     "\n",
@@ -447,8 +435,7 @@
     "    config_file, _ = model.setup(\n",
     "        parameters=parameters,\n",
     "        initial_storages=initial_storages,\n",
-    "        cfg_dir=calibration_temp\n",
-    "    )\n",
+    "        cfg_dir=hbv_config)\n",
     "\n",
     "    # Initialising model\n",
     "    model.initialize(config_file)\n",
@@ -468,8 +455,8 @@
     "    model_output_mmday = pd.Series(\n",
     "        data=Q_m, \n",
     "        index=time, \n",
-    "        name=\"Modelled discharge\"\n",
-    "    )\n",
+    "        name=\"Modelled discharge\")\n",
+    "    \n",
     "    model_output_m3s = model_output_mmday * basin_size * 1000 / 86400\n",
     "\n",
     "    return model_output_m3s"
@@ -8317,8 +8304,7 @@
     "    simulated = run_hbv(\n",
     "        parameters=parameter_sets[i], \n",
     "        initial_storages=s_0, \n",
-    "        forcing=ERA5_forcing\n",
-    "    )\n",
+    "        forcing=ERA5_forcing)\n",
     "\n",
     "    # Filter data by day only, not by day & time to prevent alignment issues\n",
     "    simulated_daily = simulated\n",
@@ -8336,13 +8322,11 @@
     "    # Skip first year as warm-up\n",
     "    combined_data = combined_data[\n",
     "        (combined_data.index >= evaluation_start) &\n",
-    "        (combined_data.index <= calibration_end_date)\n",
-    "    ]\n",
+    "        (combined_data.index <= calibration_end_date)]\n",
     "\n",
     "    # Exclude ice-affected winter period\n",
     "    combined_data = combined_data[\n",
-    "        ~combined_data.index.month.isin([11, 12, 1, 2, 3, 4])\n",
-    "    ]\n",
+    "        ~combined_data.index.month.isin([11, 12, 1, 2, 3, 4])]\n",
     "\n",
     "    # Append results and drop nan\n",
     "    if combined_data.empty:\n",
@@ -8352,19 +8336,17 @@
     "    else:\n",
     "        nse = NSE(\n",
     "            combined_data[\"Modelled discharge\"], \n",
-    "            combined_data[\"Observed discharge\"]\n",
-    "        )\n",
+    "            combined_data[\"Observed discharge\"])\n",
+    "        \n",
     "        log_nse = log_NSE(\n",
     "            combined_data[\"Modelled discharge\"], \n",
-    "            combined_data[\"Observed discharge\"]\n",
-    "        )\n",
+    "            combined_data[\"Observed discharge\"])\n",
     "        \n",
     "    results.append({\n",
     "        \"run\": i,\n",
     "        \"NSE\": nse,\n",
     "        \"log_NSE\": log_nse,\n",
-    "        \"parameters\": parameter_sets[i]\n",
-    "    })"
+    "        \"parameters\": parameter_sets[i]})"
    ]
   },
   {
@@ -8898,14 +8880,12 @@
     "simulated_calibrated_nse = run_hbv(\n",
     "    parameters=best_parameters_nse,\n",
     "    initial_storages=s_0,\n",
-    "    forcing=ERA5_forcing\n",
-    ")\n",
+    "    forcing=ERA5_forcing)\n",
     "\n",
     "simulated_calibrated_log_nse = run_hbv(\n",
     "    parameters=best_parameters_log_nse,\n",
     "    initial_storages=s_0,\n",
-    "    forcing=ERA5_forcing\n",
-    ")\n",
+    "    forcing=ERA5_forcing)\n",
     "\n",
     "# Align dates\n",
     "simulated_plot_nse = simulated_calibrated_nse\n",
@@ -8920,19 +8900,16 @@
     "plot_data = pd.DataFrame({\n",
     "    \"Modelled discharge NSE\": simulated_plot_nse,\n",
     "    \"Modelled discharge log_NSE\": simulated_plot_log_nse,\n",
-    "    \"Observed discharge\": observed_plot\n",
-    "}).dropna()\n",
+    "    \"Observed discharge\": observed_plot}).dropna()\n",
     "\n",
     "# Calculate NSE & log NSE for plotted data\n",
     "plot_nse = NSE(\n",
     "    plot_data[\"Modelled discharge NSE\"],\n",
-    "    plot_data[\"Observed discharge\"]\n",
-    ")\n",
+    "    plot_data[\"Observed discharge\"])\n",
     "\n",
     "plot_log_nse = log_NSE(\n",
     "    plot_data[\"Modelled discharge log_NSE\"],\n",
-    "    plot_data[\"Observed discharge\"]\n",
-    ")\n",
+    "    plot_data[\"Observed discharge\"])\n",
     "\n",
     "# Plot\n",
     "plt.figure(figsize=(14, 6))\n",
@@ -9027,13 +9004,11 @@
     "\n",
     "rmse_nse = RMSE(\n",
     "    plot_data[\"Modelled discharge NSE\"],\n",
-    "    plot_data[\"Observed discharge\"]\n",
-    ")\n",
+    "    plot_data[\"Observed discharge\"])\n",
     "\n",
     "rmse_log_nse = RMSE(\n",
     "    plot_data[\"Modelled discharge log_NSE\"],\n",
-    "    plot_data[\"Observed discharge\"]\n",
-    ")\n",
+    "    plot_data[\"Observed discharge\"])\n",
     "\n",
     "print(f\"RMSE for best NSE parameter set: {rmse_nse:.3f} m³/s\")\n",
     "print(f\"RMSE for best log_NSE parameter set: {rmse_log_nse:.3f} m³/s\")"
diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step4_HBV_Validation_Ensemble.ipynb b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step4_HBV_Validation_Ensemble.ipynb
index 72c8021c..ed549a30 100644
--- a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step4_HBV_Validation_Ensemble.ipynb
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step4_HBV_Validation_Ensemble.ipynb
@@ -29,7 +29,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 4,
    "id": "d197b8f0-0f85-4a41-b2fb-1b2a8cf3f9f5",
    "metadata": {},
    "outputs": [],
@@ -50,7 +50,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 5,
    "id": "dd7b7d3f-1489-4723-bb51-f3cffcb7a85c",
    "metadata": {},
    "outputs": [],
@@ -63,7 +63,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 6,
    "id": "1c8aee93-b2d6-4291-89ae-1d29e69268cd",
    "metadata": {},
    "outputs": [],
@@ -76,61 +76,45 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 7,
    "id": "d7dce039-d1f3-44a0-b646-98c32ecffb28",
    "metadata": {},
    "outputs": [],
    "source": [
     "# Choosing time period\n",
     "\n",
-    "experiment_start_date = \"2019-01-01T00:00:00Z\"\n",
-    "experiment_end_date = \"2024-12-31T00:00:00Z\"\n",
-    "\n",
-    "validation_start = \"1999-01-01T00:00:00Z\"\n",
-    "validation_end = \"2019-12-31T00:00:00Z\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "id": "d330bf37-7419-4287-81af-3d09e4c7a30e",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Create pathways for ERA 5 forcings\n",
-    "\n",
-    "forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"ERA5-1999-2019\"\n",
-    "\n",
-    "discharge_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
+    "validation_start_yr = 1999\n",
+    "validation_end_yr = 2019\n",
     "\n",
-    "shape_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "experiment_start_date = f\"{validation_start_yr}-01-01T00:00:00Z\"\n",
+    "experiment_end_date = f\"{validation_end_yr}-12-31T00:00:00Z\"\n",
     "\n",
-    "hbv_config = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"hbv_config\"\n",
-    "hbv_config.mkdir(parents=True, exist_ok=True)"
+    "validation_start = f\"{validation_start_yr}-01-01T00:00:00Z\"\n",
+    "validation_end = f\"{validation_end_yr}-12-31T00:00:00Z\""
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 8,
    "id": "15ea4507-f559-4ef8-9756-60b8502064d7",
    "metadata": {},
    "outputs": [],
    "source": [
-    "# # Create pathways for ERA 5 forcings\n",
+    "# Create pathways for ERA 5 forcings\n",
     "\n",
-    "# forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"forcings\" / \"ERA5-1999-2019\"\n",
+    "forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"forcings\" / \"ERA5\" / f\"ERA5-{validation_start_yr}-{validation_end_yr}\"\n",
     "\n",
-    "# discharge_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
+    "discharge_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
     "\n",
-    "# shape_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "shape_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
     "\n",
-    "# hbv_config = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"hbv_config\"\n",
-    "# hbv_config.mkdir(parents=True, exist_ok=True)"
+    "hbv_config = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"hbv_config\"\n",
+    "hbv_config.mkdir(parents=True, exist_ok=True)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 9,
    "id": "46ea8b1e-fb73-49ed-855c-4d95cd932748",
    "metadata": {},
    "outputs": [],
@@ -145,7 +129,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 10,
    "id": "8bb224ad-d23c-475f-b6af-4a6023a17044",
    "metadata": {},
    "outputs": [],
@@ -164,7 +148,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 11,
    "id": "fc27f6f8-e7ff-4be6-b073-05006d25426a",
    "metadata": {},
    "outputs": [
@@ -180,7 +164,7 @@
        "Name: Observed discharge, dtype: float64"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -191,7 +175,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 12,
    "id": "7f6f57aa-9f39-4524-ba3a-34f55035ebab",
    "metadata": {},
    "outputs": [
@@ -229,7 +213,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 13,
    "id": "77e79b20-3e4d-405a-bd88-16bdc50bdb39",
    "metadata": {},
    "outputs": [
@@ -239,7 +223,8 @@
        "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">LumpedMakkinkForcing</span><span style=\"font-weight: bold\">(</span>\n",
        "    <span style=\"color: #808000; text-decoration-color: #808000\">start_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'1999-01-01T00:00:00Z'</span>,\n",
        "    <span style=\"color: #808000; text-decoration-color: #808000\">end_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'2019-12-31T00:00:00Z'</span>,\n",
-       "    <span style=\"color: #808000; text-decoration-color: #808000\">directory</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1999-2019'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">directory</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forci</span>\n",
+       "<span style=\"color: #008000; text-decoration-color: #008000\">ngs/ERA5/ERA5-1999-2019'</span><span style=\"font-weight: bold\">)</span>,\n",
        "    <span style=\"color: #808000; text-decoration-color: #808000\">shape</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'</span><span style=\"font-weight: bold\">)</span>,\n",
        "    <span style=\"color: #808000; text-decoration-color: #808000\">filenames</span>=<span style=\"font-weight: bold\">{</span>\n",
        "        <span style=\"color: #008000; text-decoration-color: #008000\">'evspsblpot'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1999_2019_evspsblpot.nc'</span>,\n",
@@ -254,7 +239,8 @@
        "\u001b[1;35mLumpedMakkinkForcing\u001b[0m\u001b[1m(\u001b[0m\n",
        "    \u001b[33mstart_time\u001b[0m=\u001b[32m'1999-01-01T00:00:00Z'\u001b[0m,\n",
        "    \u001b[33mend_time\u001b[0m=\u001b[32m'2019-12-31T00:00:00Z'\u001b[0m,\n",
-       "    \u001b[33mdirectory\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1999-2019'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mdirectory\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forci\u001b[0m\n",
+       "\u001b[32mngs/ERA5/ERA5-1999-2019'\u001b[0m\u001b[1m)\u001b[0m,\n",
        "    \u001b[33mshape\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'\u001b[0m\u001b[1m)\u001b[0m,\n",
        "    \u001b[33mfilenames\u001b[0m=\u001b[1m{\u001b[0m\n",
        "        \u001b[32m'evspsblpot'\u001b[0m: \u001b[32m'combined_ERA5_1999_2019_evspsblpot.nc'\u001b[0m,\n",
@@ -295,33 +281,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 14,
    "id": "ca2be146-1112-4806-a44f-d57ebd4442c9",
    "metadata": {},
    "outputs": [],
    "source": [
     "# Load calibration constants\n",
     "\n",
-    "# par_0 = [4.45787, 0.42307, 201.57602, 2.36497, 0.26755, 8.62964, 0.083568, 0.0037073, 0.29645]\n",
-    "# par_0 = [2.79874, 0.49211, 255.96478, 1.782968, 0.503199, 6.095956, 0.33279, 0.10539, 0.63857]\n",
-    "# par_0 = [6.279135, 0.4808243, 174.127749, 1.9527195, 0.3305087, 6.19919, 0.0768362, 0.004366398, 0.4076606]         # 0.725 val, 0.x cal - Fav run 2\n",
-    "# par_0 = [6.28908, 0.423917, 173.56627, 1.63144, 0.402586, 6.56151, 0.0456809, 0.00313744, 0.516696]                 # 0.702 val, 0.x cal\n",
-    "# par_0 = [6.4919, 0.386877, 221.78625, 1.388269, 0.276453, 4.9870704, 0.04126777, 0.05640195, 1.148877]              # 0.668 val, 0.x cal\n",
-    "# par_0 = [7.502398, 0.38028, 194.1899, 1.680197, 0.47956, 4.8566806, 0.041745354, 0.02833896, 1.051862]              # 0.677 val, 0.x cal\n",
-    "# par_0 = [5.5464, 0.46496, 187.8548, 1.82803, 0.440628, 6.29496, 0.062766, 0.033095, 0.80392]                        # 0.781 val, 0.776 cal\n",
-    "# par_0 = [6.16512, 0.4369419, 151.2515900, 1.727835, 0.3771705, 6.19265974, 0.06959136, 0.001310818, 0.8130732]      # 0.664 val, 0.791 cal\n",
-    "# par_0 = [5.7107, 0.441634, 172.81305, 1.87367, 0.588802, 5.498147, 0.060305, 0.019666, 1.2011814]                    # x val, 0.73 cal         Start of 5+ months exclusion\n",
-    "# par_0 = [7.35776, 0.432509, 192.67085, 1.66088, 0.289296, 5.323766, 0.037268, 0.004399, 1.146504]                    # 0.82 val, 0.818 cal - Fav run 1      \n",
-    "# par_0 = [7.23868, 0.47495, 181.82012, 1.8232, 0.4884032, 5.546412, 0.0449439, 0.00231717, 1.25052]                    #  val,  0.77 cal    \n",
-    "# par_0 = [7.9355, 0.4593, 219.6962, 1.72624, 0.26391, 5.810765, 0.04804, 0.0155065, 0.76857]                           # 0.78 val, 0.71 cal - potential inclusion\n",
-    "\n",
     "par_ensemble = [\n",
     "    [6.279135, 0.4808243, 174.127749, 1.9527195, 0.3305087, 6.19919, 0.0768362, 0.004366398, 0.4076606],\n",
     "    [7.35776, 0.432509, 192.67085, 1.66088, 0.289296, 5.323766, 0.037268, 0.004399, 1.146504],\n",
     "    [7.9355, 0.4593, 219.6962, 1.72624, 0.26391, 5.810765, 0.04804, 0.0155065, 0.76857],\n",
     "    [5.5464, 0.46496, 187.8548, 1.82803, 0.440628, 6.29496, 0.062766, 0.033095, 0.80392],\n",
-    "   [7.23868, 0.47495, 181.82012, 1.8232, 0.4884032, 5.546412, 0.0449439, 0.00231717, 1.25052]\n",
-    "]\n",
+    "   [7.23868, 0.47495, 181.82012, 1.8232, 0.4884032, 5.546412, 0.0449439, 0.00231717, 1.25052]]\n",
     "\n",
     "\n",
     "par_names = [\"Imax\",         # Maximum interception storage\n",
@@ -332,15 +304,12 @@
     "               \"Tlag\",       # Time lag\n",
     "               \"Kf\",         # Fast reservoir recession coefficient\n",
     "               \"Ks\",         # Slow reservoir recession coefficient\n",
-    "               \"FM\"          # Snowmelt factor\n",
-    "               ]\n",
-    "\n",
-    "# Initial: par_0 = [5.085, 0.55, 100.373, 1.612, 0.545, 3.801, 0.196, 0.00, 0.185]"
+    "               \"FM\"]          # Snowmelt factor"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 15,
    "id": "d5e5bcb4-bf90-470b-90ed-4a0b9d80c35d",
    "metadata": {},
    "outputs": [],
@@ -361,7 +330,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 16,
    "id": "055bdbc8-af1f-41ac-ad1d-b4da4d6785f6",
    "metadata": {},
    "outputs": [],
@@ -375,8 +344,7 @@
     "    config_file, _ = model.setup(\n",
     "        parameters=parameters,\n",
     "        initial_storages=initial_storages,\n",
-    "        cfg_dir=hbv_config\n",
-    "    )\n",
+    "        cfg_dir=hbv_config)\n",
     "\n",
     "    # Initialising model\n",
     "    model.initialize(config_file)\n",
@@ -396,8 +364,7 @@
     "    model_output_mmday = pd.Series(\n",
     "        data=Q_m,\n",
     "        index=time,\n",
-    "        name=\"Modelled discharge\"\n",
-    "    )\n",
+    "        name=\"Modelled discharge\")\n",
     "\n",
     "    model_output_m3s = model_output_mmday * basin_size * 1000 / 86400\n",
     "\n",
@@ -414,7 +381,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 17,
    "id": "44092959-524a-4330-a274-77cfad0eacd6",
    "metadata": {},
    "outputs": [],
@@ -435,8 +402,7 @@
     "        simulated = run_hbv(\n",
     "            parameters=par_ensemble[i],\n",
     "            initial_storages=initial_storages,\n",
-    "            forcing=forcing\n",
-    "        )\n",
+    "            forcing=forcing)\n",
     "\n",
     "        # Filter data by day only, not by day & time to prevent alignment issues\n",
     "        simulated_daily = simulated\n",
@@ -460,7 +426,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 18,
    "id": "079368de-30cf-491f-8cc9-2021f6a4bfa6",
    "metadata": {},
    "outputs": [
@@ -562,68 +528,150 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>1999-01-02</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
        "      <td>103.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1999-01-03</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
        "      <td>101.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1999-01-04</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
        "      <td>103.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1999-01-05</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
        "      <td>105.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1999-01-06</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
        "      <td>108.0</td>\n",
        "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2000-02-01</th>\n",
+       "      <td>102.047985</td>\n",
+       "      <td>108.044177</td>\n",
+       "      <td>114.497993</td>\n",
+       "      <td>172.121394</td>\n",
+       "      <td>121.357509</td>\n",
+       "      <td>123.613811</td>\n",
+       "      <td>106.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2000-02-02</th>\n",
+       "      <td>102.042292</td>\n",
+       "      <td>107.316083</td>\n",
+       "      <td>114.024552</td>\n",
+       "      <td>171.530269</td>\n",
+       "      <td>120.753231</td>\n",
+       "      <td>123.133285</td>\n",
+       "      <td>112.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2000-02-03</th>\n",
+       "      <td>102.040484</td>\n",
+       "      <td>106.619178</td>\n",
+       "      <td>113.571341</td>\n",
+       "      <td>170.944800</td>\n",
+       "      <td>120.184211</td>\n",
+       "      <td>122.672003</td>\n",
+       "      <td>115.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2000-02-04</th>\n",
+       "      <td>102.041573</td>\n",
+       "      <td>105.952250</td>\n",
+       "      <td>113.137337</td>\n",
+       "      <td>170.358388</td>\n",
+       "      <td>119.648759</td>\n",
+       "      <td>122.227661</td>\n",
+       "      <td>115.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2000-02-05</th>\n",
+       "      <td>102.044468</td>\n",
+       "      <td>105.313917</td>\n",
+       "      <td>112.721567</td>\n",
+       "      <td>169.767270</td>\n",
+       "      <td>119.145094</td>\n",
+       "      <td>121.798463</td>\n",
+       "      <td>116.0</td>\n",
+       "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
+       "<p>400 rows × 7 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "            Set 1  Set 2  Set 3  Set 4  Set 5  Mean  Observed discharge\n",
-       "1999-01-02    0.0    0.0    0.0    0.0    0.0   0.0               103.0\n",
-       "1999-01-03    0.0    0.0    0.0    0.0    0.0   0.0               101.0\n",
-       "1999-01-04    0.0    0.0    0.0    0.0    0.0   0.0               103.0\n",
-       "1999-01-05    0.0    0.0    0.0    0.0    0.0   0.0               105.0\n",
-       "1999-01-06    0.0    0.0    0.0    0.0    0.0   0.0               108.0"
+       "                 Set 1       Set 2       Set 3       Set 4       Set 5  \\\n",
+       "1999-01-02    0.000000    0.000000    0.000000    0.000000    0.000000   \n",
+       "1999-01-03    0.000000    0.000000    0.000000    0.000000    0.000000   \n",
+       "1999-01-04    0.000000    0.000000    0.000000    0.000000    0.000000   \n",
+       "1999-01-05    0.000000    0.000000    0.000000    0.000000    0.000000   \n",
+       "1999-01-06    0.000000    0.000000    0.000000    0.000000    0.000000   \n",
+       "...                ...         ...         ...         ...         ...   \n",
+       "2000-02-01  102.047985  108.044177  114.497993  172.121394  121.357509   \n",
+       "2000-02-02  102.042292  107.316083  114.024552  171.530269  120.753231   \n",
+       "2000-02-03  102.040484  106.619178  113.571341  170.944800  120.184211   \n",
+       "2000-02-04  102.041573  105.952250  113.137337  170.358388  119.648759   \n",
+       "2000-02-05  102.044468  105.313917  112.721567  169.767270  119.145094   \n",
+       "\n",
+       "                  Mean  Observed discharge  \n",
+       "1999-01-02    0.000000               103.0  \n",
+       "1999-01-03    0.000000               101.0  \n",
+       "1999-01-04    0.000000               103.0  \n",
+       "1999-01-05    0.000000               105.0  \n",
+       "1999-01-06    0.000000               108.0  \n",
+       "...                ...                 ...  \n",
+       "2000-02-01  123.613811               106.0  \n",
+       "2000-02-02  123.133285               112.0  \n",
+       "2000-02-03  122.672003               115.0  \n",
+       "2000-02-04  122.227661               115.0  \n",
+       "2000-02-05  121.798463               116.0  \n",
+       "\n",
+       "[400 rows x 7 columns]"
       ]
      },
-     "execution_count": 17,
+     "execution_count": 18,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -632,10 +680,9 @@
     "ensemble_data = run_hbv_ensemble(\n",
     "    par_ensemble=par_ensemble,\n",
     "    initial_storages=s_0,\n",
-    "    forcing=ERA5_forcing\n",
-    ")\n",
+    "    forcing=ERA5_forcing)\n",
     "\n",
-    "ensemble_data.head()"
+    "ensemble_data.head(400)"
    ]
   },
   {
@@ -648,7 +695,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 19,
    "id": "37567a9e-dff3-4c80-84e0-572a6ed72b68",
    "metadata": {},
    "outputs": [],
@@ -671,7 +718,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 20,
    "id": "dc7850a4-dc30-4aa7-8719-4f810760c320",
    "metadata": {},
    "outputs": [],
@@ -683,13 +730,11 @@
     "    # Select evaluation period - skip first year for storages to fill\n",
     "    combined_data = ensemble_data[\n",
     "        (ensemble_data.index >= lnse_start) &\n",
-    "        (ensemble_data.index <= lnse_end)\n",
-    "    ].dropna()\n",
+    "        (ensemble_data.index <= lnse_end)].dropna()\n",
     "\n",
     "    # Exclude winter months\n",
     "    combined_data = combined_data[\n",
-    "        ~combined_data.index.month.isin([12, 1, 2, 3, 4])\n",
-    "    ]\n",
+    "        ~combined_data.index.month.isin([12, 1, 2, 3, 4])]\n",
     "\n",
     "    lnse_results = []\n",
     "\n",
@@ -697,26 +742,22 @@
     "    for i in range(len(par_ensemble)):\n",
     "        lnse_value = LNSE(\n",
     "            combined_data[f\"Set {i+1}\"],\n",
-    "            combined_data[\"Observed discharge\"]\n",
-    "        )\n",
+    "            combined_data[\"Observed discharge\"])\n",
     "\n",
     "        # Append LNSE\n",
     "        lnse_results.append({\n",
     "            \"Set\": f\"Set {i+1}\",\n",
-    "            \"LNSE\": lnse_value\n",
-    "        })\n",
+    "            \"LNSE\": lnse_value})\n",
     "\n",
     "    # Calculate LNSE of ensemble mean\n",
     "    mean_lnse = LNSE(\n",
     "        combined_data[\"Mean\"],\n",
-    "        combined_data[\"Observed discharge\"]\n",
-    "    )\n",
+    "        combined_data[\"Observed discharge\"])\n",
     "\n",
     "    # Append LNSE\n",
     "    lnse_results.append({\n",
     "        \"Set\": \"Ensemble mean\",\n",
-    "        \"LNSE\": mean_lnse\n",
-    "    })\n",
+    "        \"LNSE\": mean_lnse})\n",
     "\n",
     "    lnse_results = pd.DataFrame(lnse_results)\n",
     "\n",
@@ -725,7 +766,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 21,
    "id": "80962ebd-6ad7-48ce-b378-acd68ed03a1e",
    "metadata": {},
    "outputs": [
@@ -799,7 +840,7 @@
        "5  Ensemble mean  0.739374"
       ]
      },
-     "execution_count": 20,
+     "execution_count": 21,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -808,12 +849,27 @@
     "lnse_results = lnse_ensemble(\n",
     "    ensemble_data=ensemble_data,\n",
     "    lnse_start=evaluation_start,\n",
-    "    lnse_end=validation_end_date\n",
-    ")\n",
+    "    lnse_end=validation_end_date)\n",
     "\n",
     "lnse_results"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e267bdfc-ff06-4737-b6f6-e2a40c10a9c5",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "03d86b26-2ea9-40ef-834e-b0ec36d842b4",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
   {
    "cell_type": "markdown",
    "id": "d9b6a719-39c6-4872-87ff-cdb65d853e42",
@@ -824,7 +880,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 27,
    "id": "f519854a-a994-44fd-a428-4d0c6daa98e1",
    "metadata": {},
    "outputs": [],
@@ -837,12 +893,11 @@
     "    # Filter data to start & end time\n",
     "    plot_data = ensemble_data[\n",
     "        (ensemble_data.index >= plot_start) &\n",
-    "        (ensemble_data.index <= plot_end)\n",
-    "    ].dropna()\n",
+    "        (ensemble_data.index <= plot_end)].dropna()\n",
     "\n",
     "    # Define figure\n",
     "    plt.figure()\n",
-    "    plt.figure(figsize=(20, 8))\n",
+    "    plt.figure(figsize=(15, 6))\n",
     "\n",
     "    # Plot sets, observed data, ensemble mean and axhline, respectively\n",
     "    for i in range(len(par_ensemble)):\n",
@@ -864,7 +919,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 23,
    "id": "f1bb58f8-3dee-43eb-abc8-4af333b5d064",
    "metadata": {},
    "outputs": [
@@ -879,9 +934,9 @@
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
-       "<Figure size 2000x800 with 1 Axes>"
+       "<Figure size 1500x600 with 1 Axes>"
       ]
      },
      "metadata": {},
@@ -894,13 +949,12 @@
     "plot_ensemble(\n",
     "    ensemble_data=ensemble_data,\n",
     "    plot_start=evaluation_start,\n",
-    "    plot_end=validation_end_date\n",
-    ")"
+    "    plot_end=validation_end_date)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 24,
    "id": "b835010a-b272-46b7-9c20-b0db1a99506b",
    "metadata": {},
    "outputs": [
@@ -915,9 +969,9 @@
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
-       "<Figure size 2000x800 with 1 Axes>"
+       "<Figure size 1500x600 with 1 Axes>"
       ]
      },
      "metadata": {},
@@ -927,13 +981,12 @@
    "source": [
     "# Plot for selected year\n",
     "\n",
-    "selected_year = 2012\n",
+    "selected_year = 2024\n",
     "\n",
     "plot_ensemble(\n",
     "    ensemble_data=ensemble_data,\n",
     "    plot_start=pd.to_datetime(f\"{selected_year}-01-01\"),\n",
-    "    plot_end=pd.to_datetime(f\"{selected_year}-12-31\")\n",
-    ")"
+    "    plot_end=pd.to_datetime(f\"{selected_year}-12-31\"))"
    ]
   },
   {
@@ -946,7 +999,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 25,
    "id": "dcc14e37-5aea-4b00-ae71-32b68ee03d4a",
    "metadata": {},
    "outputs": [],
@@ -967,8 +1020,7 @@
     "    \n",
     "        year_data = ensemble_data[\n",
     "            (ensemble_data.index >= year_start) &\n",
-    "            (ensemble_data.index <= year_end)\n",
-    "        ]\n",
+    "            (ensemble_data.index <= year_end)]\n",
     "\n",
     "        # Set zeros to count from\n",
     "        observed_lowflow_days = 0\n",
@@ -1016,8 +1068,7 @@
     "            \"set_3\": modelled_lowflow_days[2],\n",
     "            \"set_4\": modelled_lowflow_days[3],\n",
     "            \"set_5\": modelled_lowflow_days[4],\n",
-    "            \"set_avg\": np.round(setavg_lowflow_days)\n",
-    "        })\n",
+    "            \"set_avg\": np.round(setavg_lowflow_days)})\n",
     "\n",
     "    lowflow_days = pd.DataFrame(lowflow_days)\n",
     "\n",
@@ -1026,28 +1077,321 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 26,
    "id": "7460b853-5619-44c9-ac89-3c6fc099bde6",
    "metadata": {},
    "outputs": [
     {
-     "ename": "NameError",
-     "evalue": "name 'ensemble_data' is not defined",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[2], line 2\u001b[0m\n\u001b[1;32m      1\u001b[0m lowflow_counter_ensemble(\n\u001b[0;32m----> 2\u001b[0m     ensemble_data\u001b[38;5;241m=\u001b[39m\u001b[43mensemble_data\u001b[49m,\n\u001b[1;32m      3\u001b[0m     start_date\u001b[38;5;241m=\u001b[39mevaluation_start,\n\u001b[1;32m      4\u001b[0m     end_date\u001b[38;5;241m=\u001b[39mvalidation_end_date\n\u001b[1;32m      5\u001b[0m )\n",
-      "\u001b[0;31mNameError\u001b[0m: name 'ensemble_data' is not defined"
-     ]
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>year</th>\n",
+       "      <th>observed</th>\n",
+       "      <th>modelmean</th>\n",
+       "      <th>set_1</th>\n",
+       "      <th>set_2</th>\n",
+       "      <th>set_3</th>\n",
+       "      <th>set_4</th>\n",
+       "      <th>set_5</th>\n",
+       "      <th>set_avg</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2000</td>\n",
+       "      <td>20</td>\n",
+       "      <td>2</td>\n",
+       "      <td>9</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2001</td>\n",
+       "      <td>60</td>\n",
+       "      <td>59</td>\n",
+       "      <td>64</td>\n",
+       "      <td>64</td>\n",
+       "      <td>59</td>\n",
+       "      <td>59</td>\n",
+       "      <td>56</td>\n",
+       "      <td>60.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2002</td>\n",
+       "      <td>52</td>\n",
+       "      <td>27</td>\n",
+       "      <td>56</td>\n",
+       "      <td>38</td>\n",
+       "      <td>30</td>\n",
+       "      <td>27</td>\n",
+       "      <td>36</td>\n",
+       "      <td>37.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2003</td>\n",
+       "      <td>51</td>\n",
+       "      <td>40</td>\n",
+       "      <td>59</td>\n",
+       "      <td>36</td>\n",
+       "      <td>46</td>\n",
+       "      <td>45</td>\n",
+       "      <td>19</td>\n",
+       "      <td>41.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2004</td>\n",
+       "      <td>5</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>2005</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>6</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>2006</td>\n",
+       "      <td>42</td>\n",
+       "      <td>21</td>\n",
+       "      <td>43</td>\n",
+       "      <td>18</td>\n",
+       "      <td>29</td>\n",
+       "      <td>22</td>\n",
+       "      <td>0</td>\n",
+       "      <td>22.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>2007</td>\n",
+       "      <td>25</td>\n",
+       "      <td>5</td>\n",
+       "      <td>12</td>\n",
+       "      <td>3</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4</td>\n",
+       "      <td>0</td>\n",
+       "      <td>5.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>2008</td>\n",
+       "      <td>37</td>\n",
+       "      <td>19</td>\n",
+       "      <td>31</td>\n",
+       "      <td>16</td>\n",
+       "      <td>22</td>\n",
+       "      <td>19</td>\n",
+       "      <td>5</td>\n",
+       "      <td>19.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>2009</td>\n",
+       "      <td>42</td>\n",
+       "      <td>54</td>\n",
+       "      <td>64</td>\n",
+       "      <td>50</td>\n",
+       "      <td>53</td>\n",
+       "      <td>57</td>\n",
+       "      <td>45</td>\n",
+       "      <td>54.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>2010</td>\n",
+       "      <td>6</td>\n",
+       "      <td>6</td>\n",
+       "      <td>26</td>\n",
+       "      <td>6</td>\n",
+       "      <td>8</td>\n",
+       "      <td>3</td>\n",
+       "      <td>6</td>\n",
+       "      <td>10.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>2011</td>\n",
+       "      <td>36</td>\n",
+       "      <td>35</td>\n",
+       "      <td>46</td>\n",
+       "      <td>27</td>\n",
+       "      <td>34</td>\n",
+       "      <td>38</td>\n",
+       "      <td>25</td>\n",
+       "      <td>34.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>2012</td>\n",
+       "      <td>13</td>\n",
+       "      <td>18</td>\n",
+       "      <td>25</td>\n",
+       "      <td>15</td>\n",
+       "      <td>18</td>\n",
+       "      <td>19</td>\n",
+       "      <td>9</td>\n",
+       "      <td>17.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>2013</td>\n",
+       "      <td>21</td>\n",
+       "      <td>32</td>\n",
+       "      <td>39</td>\n",
+       "      <td>28</td>\n",
+       "      <td>31</td>\n",
+       "      <td>34</td>\n",
+       "      <td>27</td>\n",
+       "      <td>32.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>2014</td>\n",
+       "      <td>43</td>\n",
+       "      <td>59</td>\n",
+       "      <td>65</td>\n",
+       "      <td>54</td>\n",
+       "      <td>57</td>\n",
+       "      <td>61</td>\n",
+       "      <td>51</td>\n",
+       "      <td>58.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>2015</td>\n",
+       "      <td>60</td>\n",
+       "      <td>105</td>\n",
+       "      <td>109</td>\n",
+       "      <td>126</td>\n",
+       "      <td>125</td>\n",
+       "      <td>104</td>\n",
+       "      <td>66</td>\n",
+       "      <td>106.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>2016</td>\n",
+       "      <td>7</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>5</td>\n",
+       "      <td>5</td>\n",
+       "      <td>5</td>\n",
+       "      <td>5</td>\n",
+       "      <td>4.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>2017</td>\n",
+       "      <td>15</td>\n",
+       "      <td>15</td>\n",
+       "      <td>22</td>\n",
+       "      <td>10</td>\n",
+       "      <td>16</td>\n",
+       "      <td>19</td>\n",
+       "      <td>0</td>\n",
+       "      <td>13.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>2018</td>\n",
+       "      <td>0</td>\n",
+       "      <td>4</td>\n",
+       "      <td>9</td>\n",
+       "      <td>1</td>\n",
+       "      <td>6</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>4.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>2019</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    year  observed  modelmean  set_1  set_2  set_3  set_4  set_5  set_avg\n",
+       "0   2000        20          2      9      0      1      1      0      2.0\n",
+       "1   2001        60         59     64     64     59     59     56     60.0\n",
+       "2   2002        52         27     56     38     30     27     36     37.0\n",
+       "3   2003        51         40     59     36     46     45     19     41.0\n",
+       "4   2004         5          0      1      0      0      0      0      0.0\n",
+       "5   2005         0          0      6      0      0      0      0      1.0\n",
+       "6   2006        42         21     43     18     29     22      0     22.0\n",
+       "7   2007        25          5     12      3      7      4      0      5.0\n",
+       "8   2008        37         19     31     16     22     19      5     19.0\n",
+       "9   2009        42         54     64     50     53     57     45     54.0\n",
+       "10  2010         6          6     26      6      8      3      6     10.0\n",
+       "11  2011        36         35     46     27     34     38     25     34.0\n",
+       "12  2012        13         18     25     15     18     19      9     17.0\n",
+       "13  2013        21         32     39     28     31     34     27     32.0\n",
+       "14  2014        43         59     65     54     57     61     51     58.0\n",
+       "15  2015        60        105    109    126    125    104     66    106.0\n",
+       "16  2016         7          3      0      5      5      5      5      4.0\n",
+       "17  2017        15         15     22     10     16     19      0     13.0\n",
+       "18  2018         0          4      9      1      6      3      0      4.0\n",
+       "19  2019         0          0      0      0      0      0      0      0.0"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
     "lowflow_counter_ensemble(\n",
     "    ensemble_data=ensemble_data,\n",
     "    start_date=evaluation_start,\n",
-    "    end_date=validation_end_date\n",
-    ")"
+    "    end_date=validation_end_date)"
    ]
   },
   {
diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step6_CMIP_History.ipynb b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step6_CMIP_History.ipynb
index c27364f0..58e0a532 100644
--- a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step6_CMIP_History.ipynb
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step6_CMIP_History.ipynb
@@ -30,7 +30,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 21,
    "id": "d197b8f0-0f85-4a41-b2fb-1b2a8cf3f9f5",
    "metadata": {},
    "outputs": [],
@@ -52,7 +52,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 22,
    "id": "dd7b7d3f-1489-4723-bb51-f3cffcb7a85c",
    "metadata": {},
    "outputs": [],
@@ -65,7 +65,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 23,
    "id": "1c8aee93-b2d6-4291-89ae-1d29e69268cd",
    "metadata": {},
    "outputs": [],
@@ -78,7 +78,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 24,
    "id": "d7dce039-d1f3-44a0-b646-98c32ecffb28",
    "metadata": {},
    "outputs": [],
@@ -88,19 +88,22 @@
     "# experiment_start_date = \"2019-01-01T00:00:00Z\"\n",
     "# experiment_end_date = \"2024-12-31T00:00:00Z\"\n",
     "\n",
-    "start_year = 1995\n",
+    "start_year = 1989\n",
     "end_year = 2014\n",
     "\n",
     "validation_start = f\"{start_year}-01-01T00:00:00Z\"\n",
     "validation_end = f\"{end_year}-12-31T00:00:00Z\"\n",
     "\n",
     "# Choose CMIP Scenario: \n",
-    "Scenario = \"historical\"    # Options: historical, ssp119, ssp126, ssp245, ssp,370, ssp585"
+    "Scenario = \"historical\"    # Options: historical, ssp119, ssp126, ssp245, ssp,370, ssp585\n",
+    "\n",
+    "# Attach colours to scenarios to make plotting easier \n",
+    "colours = {\"historical\": \"tab:blue\", \"ssp126\": \"green\", \"ssp245\": \"orange\", \"ssp370\": \"red\"}"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 25,
    "id": "15ea4507-f559-4ef8-9756-60b8502064d7",
    "metadata": {},
    "outputs": [],
@@ -123,7 +126,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 26,
    "id": "46ea8b1e-fb73-49ed-855c-4d95cd932748",
    "metadata": {},
    "outputs": [
@@ -191,7 +194,7 @@
        "4 1957-10-05          487.0"
       ]
      },
-     "execution_count": 22,
+     "execution_count": 26,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -209,7 +212,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 27,
    "id": "8bb224ad-d23c-475f-b6af-4a6023a17044",
    "metadata": {},
    "outputs": [],
@@ -228,7 +231,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 28,
    "id": "fc27f6f8-e7ff-4be6-b073-05006d25426a",
    "metadata": {},
    "outputs": [
@@ -236,15 +239,15 @@
      "data": {
       "text/plain": [
        "Date\n",
-       "1995-01-01    197.0\n",
-       "1995-01-02    196.0\n",
-       "1995-01-03    194.0\n",
-       "1995-01-04    191.0\n",
-       "1995-01-05    186.0\n",
+       "1989-01-01    137.0\n",
+       "1989-01-02    141.0\n",
+       "1989-01-03    141.0\n",
+       "1989-01-04    139.0\n",
+       "1989-01-05    135.0\n",
        "Name: Observed discharge, dtype: float64"
       ]
      },
-     "execution_count": 24,
+     "execution_count": 28,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -255,13 +258,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 29,
    "id": "7f6f57aa-9f39-4524-ba3a-34f55035ebab",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 1200x500 with 1 Axes>"
       ]
@@ -293,7 +296,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 30,
    "id": "77e79b20-3e4d-405a-bd88-16bdc50bdb39",
    "metadata": {},
    "outputs": [
@@ -301,32 +304,34 @@
      "data": {
       "text/html": [
        "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">LumpedMakkinkForcing</span><span style=\"font-weight: bold\">(</span>\n",
-       "    <span style=\"color: #808000; text-decoration-color: #808000\">start_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'1995-01-01T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">start_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'1989-01-01T00:00:00Z'</span>,\n",
        "    <span style=\"color: #808000; text-decoration-color: #808000\">end_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'2014-12-31T00:00:00Z'</span>,\n",
        "    <span style=\"color: #808000; text-decoration-color: #808000\">directory</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forci</span>\n",
-       "<span style=\"color: #008000; text-decoration-color: #008000\">ngs/CMIP6/historical/CMIP6-1995-2014'</span><span style=\"font-weight: bold\">)</span>,\n",
-       "    <span style=\"color: #808000; text-decoration-color: #808000\">shape</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "<span style=\"color: #008000; text-decoration-color: #008000\">ngs/CMIP6/historical/CMIP6-1989-2014'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">shape</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Shapefile</span>\n",
+       "<span style=\"color: #008000; text-decoration-color: #008000\">s/07DA001_basin.shp'</span><span style=\"font-weight: bold\">)</span>,\n",
        "    <span style=\"color: #808000; text-decoration-color: #808000\">filenames</span>=<span style=\"font-weight: bold\">{</span>\n",
-       "        <span style=\"color: #008000; text-decoration-color: #008000\">'evspsblpot'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_1995_2014_evspsblpot.nc'</span>,\n",
-       "        <span style=\"color: #008000; text-decoration-color: #008000\">'pr'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_1995_2014_pr.nc'</span>,\n",
-       "        <span style=\"color: #008000; text-decoration-color: #008000\">'rsds'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_1995_2014_rsds.nc'</span>,\n",
-       "        <span style=\"color: #008000; text-decoration-color: #008000\">'tas'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_1995_2014_tas.nc'</span>\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'evspsblpot'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_1989_2014_evspsblpot.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'pr'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_1989_2014_pr.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'rsds'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_1989_2014_rsds.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'tas'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_1989_2014_tas.nc'</span>\n",
        "    <span style=\"font-weight: bold\">}</span>\n",
        "<span style=\"font-weight: bold\">)</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
        "\u001b[1;35mLumpedMakkinkForcing\u001b[0m\u001b[1m(\u001b[0m\n",
-       "    \u001b[33mstart_time\u001b[0m=\u001b[32m'1995-01-01T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mstart_time\u001b[0m=\u001b[32m'1989-01-01T00:00:00Z'\u001b[0m,\n",
        "    \u001b[33mend_time\u001b[0m=\u001b[32m'2014-12-31T00:00:00Z'\u001b[0m,\n",
        "    \u001b[33mdirectory\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forci\u001b[0m\n",
-       "\u001b[32mngs/CMIP6/historical/CMIP6-1995-2014'\u001b[0m\u001b[1m)\u001b[0m,\n",
-       "    \u001b[33mshape\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "\u001b[32mngs/CMIP6/historical/CMIP6-1989-2014'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mshape\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Shapefile\u001b[0m\n",
+       "\u001b[32ms/07DA001_basin.shp'\u001b[0m\u001b[1m)\u001b[0m,\n",
        "    \u001b[33mfilenames\u001b[0m=\u001b[1m{\u001b[0m\n",
-       "        \u001b[32m'evspsblpot'\u001b[0m: \u001b[32m'combined_CMIP6_1995_2014_evspsblpot.nc'\u001b[0m,\n",
-       "        \u001b[32m'pr'\u001b[0m: \u001b[32m'combined_CMIP6_1995_2014_pr.nc'\u001b[0m,\n",
-       "        \u001b[32m'rsds'\u001b[0m: \u001b[32m'combined_CMIP6_1995_2014_rsds.nc'\u001b[0m,\n",
-       "        \u001b[32m'tas'\u001b[0m: \u001b[32m'combined_CMIP6_1995_2014_tas.nc'\u001b[0m\n",
+       "        \u001b[32m'evspsblpot'\u001b[0m: \u001b[32m'combined_CMIP6_1989_2014_evspsblpot.nc'\u001b[0m,\n",
+       "        \u001b[32m'pr'\u001b[0m: \u001b[32m'combined_CMIP6_1989_2014_pr.nc'\u001b[0m,\n",
+       "        \u001b[32m'rsds'\u001b[0m: \u001b[32m'combined_CMIP6_1989_2014_rsds.nc'\u001b[0m,\n",
+       "        \u001b[32m'tas'\u001b[0m: \u001b[32m'combined_CMIP6_1989_2014_tas.nc'\u001b[0m\n",
        "    \u001b[1m}\u001b[0m\n",
        "\u001b[1m)\u001b[0m\n"
       ]
@@ -373,26 +378,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 31,
    "id": "ca2be146-1112-4806-a44f-d57ebd4442c9",
    "metadata": {},
    "outputs": [],
    "source": [
     "# Load calibration constants\n",
     "\n",
-    "# par_0 = [4.45787, 0.42307, 201.57602, 2.36497, 0.26755, 8.62964, 0.083568, 0.0037073, 0.29645]\n",
-    "# par_0 = [2.79874, 0.49211, 255.96478, 1.782968, 0.503199, 6.095956, 0.33279, 0.10539, 0.63857]\n",
-    "# par_0 = [6.279135, 0.4808243, 174.127749, 1.9527195, 0.3305087, 6.19919, 0.0768362, 0.004366398, 0.4076606]         # 0.725 val, 0.x cal - Fav run 2\n",
-    "# par_0 = [6.28908, 0.423917, 173.56627, 1.63144, 0.402586, 6.56151, 0.0456809, 0.00313744, 0.516696]                 # 0.702 val, 0.x cal\n",
-    "# par_0 = [6.4919, 0.386877, 221.78625, 1.388269, 0.276453, 4.9870704, 0.04126777, 0.05640195, 1.148877]              # 0.668 val, 0.x cal\n",
-    "# par_0 = [7.502398, 0.38028, 194.1899, 1.680197, 0.47956, 4.8566806, 0.041745354, 0.02833896, 1.051862]              # 0.677 val, 0.x cal\n",
-    "# par_0 = [5.5464, 0.46496, 187.8548, 1.82803, 0.440628, 6.29496, 0.062766, 0.033095, 0.80392]                        # 0.781 val, 0.776 cal\n",
-    "# par_0 = [6.16512, 0.4369419, 151.2515900, 1.727835, 0.3771705, 6.19265974, 0.06959136, 0.001310818, 0.8130732]      # 0.664 val, 0.791 cal\n",
-    "# par_0 = [5.7107, 0.441634, 172.81305, 1.87367, 0.588802, 5.498147, 0.060305, 0.019666, 1.2011814]                    # x val, 0.73 cal         Start of 5+ months exclusion\n",
-    "# par_0 = [7.35776, 0.432509, 192.67085, 1.66088, 0.289296, 5.323766, 0.037268, 0.004399, 1.146504]                    # 0.82 val, 0.818 cal - Fav run 1      \n",
-    "# par_0 = [7.23868, 0.47495, 181.82012, 1.8232, 0.4884032, 5.546412, 0.0449439, 0.00231717, 1.25052]                    #  val,  0.77 cal    \n",
-    "# par_0 = [7.9355, 0.4593, 219.6962, 1.72624, 0.26391, 5.810765, 0.04804, 0.0155065, 0.76857]                           # 0.78 val, 0.71 cal - potential inclusion\n",
-    "\n",
     "par_ensemble = [\n",
     "    [6.279135, 0.4808243, 174.127749, 1.9527195, 0.3305087, 6.19919, 0.0768362, 0.004366398, 0.4076606],\n",
     "    [7.35776, 0.432509, 192.67085, 1.66088, 0.289296, 5.323766, 0.037268, 0.004399, 1.146504],\n",
@@ -417,7 +409,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 32,
    "id": "d5e5bcb4-bf90-470b-90ed-4a0b9d80c35d",
    "metadata": {},
    "outputs": [],
@@ -438,7 +430,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 33,
    "id": "055bdbc8-af1f-41ac-ad1d-b4da4d6785f6",
    "metadata": {},
    "outputs": [],
@@ -489,7 +481,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 34,
    "id": "44092959-524a-4330-a274-77cfad0eacd6",
    "metadata": {},
    "outputs": [],
@@ -534,7 +526,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 35,
    "id": "079368de-30cf-491f-8cc9-2021f6a4bfa6",
    "metadata": {},
    "outputs": [
@@ -689,7 +681,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 36,
    "id": "3d246969-43f4-4702-9932-873cff874d17",
    "metadata": {},
    "outputs": [
@@ -725,54 +717,54 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>1995-01-02</th>\n",
+       "      <th>1989-01-02</th>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>196.0</td>\n",
+       "      <td>141.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1995-01-03</th>\n",
+       "      <th>1989-01-03</th>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>194.0</td>\n",
+       "      <td>141.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1995-01-04</th>\n",
+       "      <th>1989-01-04</th>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>191.0</td>\n",
+       "      <td>139.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1995-01-05</th>\n",
+       "      <th>1989-01-05</th>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>186.0</td>\n",
+       "      <td>135.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1995-01-06</th>\n",
+       "      <th>1989-01-06</th>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>180.0</td>\n",
+       "      <td>135.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -780,14 +772,14 @@
       ],
       "text/plain": [
        "            Set 1  Set 2  Set 3  Set 4  Set 5  Mean  Observed discharge\n",
-       "1995-01-02    0.0    0.0    0.0    0.0    0.0   0.0               196.0\n",
-       "1995-01-03    0.0    0.0    0.0    0.0    0.0   0.0               194.0\n",
-       "1995-01-04    0.0    0.0    0.0    0.0    0.0   0.0               191.0\n",
-       "1995-01-05    0.0    0.0    0.0    0.0    0.0   0.0               186.0\n",
-       "1995-01-06    0.0    0.0    0.0    0.0    0.0   0.0               180.0"
+       "1989-01-02    0.0    0.0    0.0    0.0    0.0   0.0               141.0\n",
+       "1989-01-03    0.0    0.0    0.0    0.0    0.0   0.0               141.0\n",
+       "1989-01-04    0.0    0.0    0.0    0.0    0.0   0.0               139.0\n",
+       "1989-01-05    0.0    0.0    0.0    0.0    0.0   0.0               135.0\n",
+       "1989-01-06    0.0    0.0    0.0    0.0    0.0   0.0               135.0"
       ]
      },
-     "execution_count": 32,
+     "execution_count": 36,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -807,7 +799,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 37,
    "id": "37567a9e-dff3-4c80-84e0-572a6ed72b68",
    "metadata": {},
    "outputs": [],
@@ -830,7 +822,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 38,
    "id": "dc7850a4-dc30-4aa7-8719-4f810760c320",
    "metadata": {},
    "outputs": [],
@@ -884,7 +876,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 39,
    "id": "80962ebd-6ad7-48ce-b378-acd68ed03a1e",
    "metadata": {},
    "outputs": [],
@@ -920,7 +912,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 40,
    "id": "f519854a-a994-44fd-a428-4d0c6daa98e1",
    "metadata": {},
    "outputs": [],
@@ -960,7 +952,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 41,
    "id": "f1bb58f8-3dee-43eb-abc8-4af333b5d064",
    "metadata": {},
    "outputs": [],
@@ -988,7 +980,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 42,
    "id": "b835010a-b272-46b7-9c20-b0db1a99506b",
    "metadata": {},
    "outputs": [
@@ -1003,7 +995,7 @@
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 2000x800 with 1 Axes>"
       ]
@@ -1022,7 +1014,7 @@
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 2000x800 with 1 Axes>"
       ]
@@ -1065,7 +1057,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 43,
    "id": "0f9385e5-b6f1-4f2c-9876-ee1b618214fb",
    "metadata": {},
    "outputs": [],
@@ -1095,7 +1087,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 44,
    "id": "f20e8bd2-58ba-4139-85aa-0a3bb4c0d647",
    "metadata": {},
    "outputs": [],
@@ -1122,7 +1114,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 45,
    "id": "7237db83-153e-4b5b-abf3-8efe0cb9cbe3",
    "metadata": {},
    "outputs": [],
@@ -1133,7 +1125,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 46,
    "id": "22ffb8c5-c529-42e2-af1b-7a9d41d37737",
    "metadata": {},
    "outputs": [],
@@ -1155,7 +1147,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 47,
    "id": "53515218-430b-4fd5-8a39-bcd90273f144",
    "metadata": {},
    "outputs": [],
@@ -1171,7 +1163,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 48,
    "id": "95c6b9fe-de4c-4f0f-ba81-27cac73ed1b4",
    "metadata": {},
    "outputs": [],
@@ -1185,7 +1177,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 49,
    "id": "bab56168-fcda-42d7-9d01-6341a90c4810",
    "metadata": {},
    "outputs": [],
@@ -1203,7 +1195,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 50,
    "id": "dcc14e37-5aea-4b00-ae71-32b68ee03d4a",
    "metadata": {},
    "outputs": [],
@@ -1283,33 +1275,33 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 51,
    "id": "7460b853-5619-44c9-ac89-3c6fc099bde6",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">observed     <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">532.0</span>\n",
-       "modelmean    <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">529.0</span>\n",
-       "set_1        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">710.0</span>\n",
-       "set_2        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">498.0</span>\n",
-       "set_3        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">552.0</span>\n",
-       "set_4        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">543.0</span>\n",
-       "set_5        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">383.0</span>\n",
-       "set_avg      <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">537.0</span>\n",
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">observed     <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">670.0</span>\n",
+       "modelmean    <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">735.0</span>\n",
+       "set_1        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">975.0</span>\n",
+       "set_2        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">689.0</span>\n",
+       "set_3        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">755.0</span>\n",
+       "set_4        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">763.0</span>\n",
+       "set_5        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">537.0</span>\n",
+       "set_avg      <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">744.0</span>\n",
        "dtype: float64\n",
        "</pre>\n"
       ],
       "text/plain": [
-       "observed     \u001b[1;36m532.0\u001b[0m\n",
-       "modelmean    \u001b[1;36m529.0\u001b[0m\n",
-       "set_1        \u001b[1;36m710.0\u001b[0m\n",
-       "set_2        \u001b[1;36m498.0\u001b[0m\n",
-       "set_3        \u001b[1;36m552.0\u001b[0m\n",
-       "set_4        \u001b[1;36m543.0\u001b[0m\n",
-       "set_5        \u001b[1;36m383.0\u001b[0m\n",
-       "set_avg      \u001b[1;36m537.0\u001b[0m\n",
+       "observed     \u001b[1;36m670.0\u001b[0m\n",
+       "modelmean    \u001b[1;36m735.0\u001b[0m\n",
+       "set_1        \u001b[1;36m975.0\u001b[0m\n",
+       "set_2        \u001b[1;36m689.0\u001b[0m\n",
+       "set_3        \u001b[1;36m755.0\u001b[0m\n",
+       "set_4        \u001b[1;36m763.0\u001b[0m\n",
+       "set_5        \u001b[1;36m537.0\u001b[0m\n",
+       "set_avg      \u001b[1;36m744.0\u001b[0m\n",
        "dtype: float64\n"
       ]
      },
@@ -1319,26 +1311,26 @@
     {
      "data": {
       "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">observed     <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">532.0</span>\n",
-       "modelmean    <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">538.0</span>\n",
-       "set_1        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">711.0</span>\n",
-       "set_2        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">464.0</span>\n",
-       "set_3        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">546.0</span>\n",
-       "set_4        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">558.0</span>\n",
-       "set_5        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">376.0</span>\n",
-       "set_avg      <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">532.0</span>\n",
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">observed     <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">670.0</span>\n",
+       "modelmean    <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">635.0</span>\n",
+       "set_1        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">887.0</span>\n",
+       "set_2        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">555.0</span>\n",
+       "set_3        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">660.0</span>\n",
+       "set_4        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">678.0</span>\n",
+       "set_5        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">430.0</span>\n",
+       "set_avg      <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">643.0</span>\n",
        "dtype: float64\n",
        "</pre>\n"
       ],
       "text/plain": [
-       "observed     \u001b[1;36m532.0\u001b[0m\n",
-       "modelmean    \u001b[1;36m538.0\u001b[0m\n",
-       "set_1        \u001b[1;36m711.0\u001b[0m\n",
-       "set_2        \u001b[1;36m464.0\u001b[0m\n",
-       "set_3        \u001b[1;36m546.0\u001b[0m\n",
-       "set_4        \u001b[1;36m558.0\u001b[0m\n",
-       "set_5        \u001b[1;36m376.0\u001b[0m\n",
-       "set_avg      \u001b[1;36m532.0\u001b[0m\n",
+       "observed     \u001b[1;36m670.0\u001b[0m\n",
+       "modelmean    \u001b[1;36m635.0\u001b[0m\n",
+       "set_1        \u001b[1;36m887.0\u001b[0m\n",
+       "set_2        \u001b[1;36m555.0\u001b[0m\n",
+       "set_3        \u001b[1;36m660.0\u001b[0m\n",
+       "set_4        \u001b[1;36m678.0\u001b[0m\n",
+       "set_5        \u001b[1;36m430.0\u001b[0m\n",
+       "set_avg      \u001b[1;36m643.0\u001b[0m\n",
        "dtype: float64\n"
       ]
      },
@@ -1380,33 +1372,105 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
+       "      <td>1990</td>\n",
+       "      <td>11</td>\n",
+       "      <td>36</td>\n",
+       "      <td>60</td>\n",
+       "      <td>35</td>\n",
+       "      <td>34</td>\n",
+       "      <td>34</td>\n",
+       "      <td>40</td>\n",
+       "      <td>41.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1991</td>\n",
+       "      <td>16</td>\n",
+       "      <td>45</td>\n",
+       "      <td>51</td>\n",
+       "      <td>39</td>\n",
+       "      <td>44</td>\n",
+       "      <td>47</td>\n",
+       "      <td>40</td>\n",
+       "      <td>44.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1992</td>\n",
+       "      <td>32</td>\n",
+       "      <td>0</td>\n",
+       "      <td>4</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1993</td>\n",
+       "      <td>18</td>\n",
+       "      <td>0</td>\n",
+       "      <td>16</td>\n",
+       "      <td>0</td>\n",
+       "      <td>4</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>4.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1994</td>\n",
+       "      <td>36</td>\n",
+       "      <td>0</td>\n",
+       "      <td>7</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>1995</td>\n",
+       "      <td>25</td>\n",
+       "      <td>32</td>\n",
+       "      <td>43</td>\n",
+       "      <td>20</td>\n",
+       "      <td>32</td>\n",
+       "      <td>37</td>\n",
+       "      <td>16</td>\n",
+       "      <td>30.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
        "      <td>1996</td>\n",
        "      <td>0</td>\n",
-       "      <td>110</td>\n",
-       "      <td>111</td>\n",
-       "      <td>100</td>\n",
+       "      <td>97</td>\n",
+       "      <td>108</td>\n",
+       "      <td>97</td>\n",
        "      <td>99</td>\n",
        "      <td>101</td>\n",
-       "      <td>113</td>\n",
-       "      <td>105.0</td>\n",
+       "      <td>74</td>\n",
+       "      <td>96.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1</th>\n",
+       "      <th>7</th>\n",
        "      <td>1997</td>\n",
        "      <td>0</td>\n",
        "      <td>38</td>\n",
-       "      <td>52</td>\n",
+       "      <td>50</td>\n",
        "      <td>34</td>\n",
        "      <td>36</td>\n",
        "      <td>39</td>\n",
-       "      <td>35</td>\n",
-       "      <td>39.0</td>\n",
+       "      <td>32</td>\n",
+       "      <td>38.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2</th>\n",
+       "      <th>8</th>\n",
        "      <td>1998</td>\n",
        "      <td>44</td>\n",
-       "      <td>6</td>\n",
+       "      <td>5</td>\n",
        "      <td>11</td>\n",
        "      <td>0</td>\n",
        "      <td>5</td>\n",
@@ -1415,10 +1479,10 @@
        "      <td>4.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>3</th>\n",
+       "      <th>9</th>\n",
        "      <td>1999</td>\n",
        "      <td>35</td>\n",
-       "      <td>20</td>\n",
+       "      <td>18</td>\n",
        "      <td>39</td>\n",
        "      <td>7</td>\n",
        "      <td>21</td>\n",
@@ -1427,7 +1491,7 @@
        "      <td>19.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>4</th>\n",
+       "      <th>10</th>\n",
        "      <td>2000</td>\n",
        "      <td>20</td>\n",
        "      <td>29</td>\n",
@@ -1439,7 +1503,7 @@
        "      <td>28.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>5</th>\n",
+       "      <th>11</th>\n",
        "      <td>2001</td>\n",
        "      <td>60</td>\n",
        "      <td>0</td>\n",
@@ -1451,7 +1515,7 @@
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>6</th>\n",
+       "      <th>12</th>\n",
        "      <td>2002</td>\n",
        "      <td>52</td>\n",
        "      <td>0</td>\n",
@@ -1463,7 +1527,7 @@
        "      <td>2.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>7</th>\n",
+       "      <th>13</th>\n",
        "      <td>2003</td>\n",
        "      <td>51</td>\n",
        "      <td>6</td>\n",
@@ -1475,7 +1539,7 @@
        "      <td>7.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>8</th>\n",
+       "      <th>14</th>\n",
        "      <td>2004</td>\n",
        "      <td>5</td>\n",
        "      <td>23</td>\n",
@@ -1487,7 +1551,7 @@
        "      <td>23.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>9</th>\n",
+       "      <th>15</th>\n",
        "      <td>2005</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
@@ -1499,7 +1563,7 @@
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>10</th>\n",
+       "      <th>16</th>\n",
        "      <td>2006</td>\n",
        "      <td>42</td>\n",
        "      <td>24</td>\n",
@@ -1511,7 +1575,7 @@
        "      <td>24.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>11</th>\n",
+       "      <th>17</th>\n",
        "      <td>2007</td>\n",
        "      <td>25</td>\n",
        "      <td>26</td>\n",
@@ -1523,7 +1587,7 @@
        "      <td>25.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>12</th>\n",
+       "      <th>18</th>\n",
        "      <td>2008</td>\n",
        "      <td>37</td>\n",
        "      <td>21</td>\n",
@@ -1535,7 +1599,7 @@
        "      <td>22.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>13</th>\n",
+       "      <th>19</th>\n",
        "      <td>2009</td>\n",
        "      <td>42</td>\n",
        "      <td>13</td>\n",
@@ -1547,7 +1611,7 @@
        "      <td>12.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>14</th>\n",
+       "      <th>20</th>\n",
        "      <td>2010</td>\n",
        "      <td>6</td>\n",
        "      <td>0</td>\n",
@@ -1559,7 +1623,7 @@
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>15</th>\n",
+       "      <th>21</th>\n",
        "      <td>2011</td>\n",
        "      <td>36</td>\n",
        "      <td>0</td>\n",
@@ -1571,7 +1635,7 @@
        "      <td>2.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>16</th>\n",
+       "      <th>22</th>\n",
        "      <td>2012</td>\n",
        "      <td>13</td>\n",
        "      <td>91</td>\n",
@@ -1583,7 +1647,7 @@
        "      <td>85.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>17</th>\n",
+       "      <th>23</th>\n",
        "      <td>2013</td>\n",
        "      <td>21</td>\n",
        "      <td>131</td>\n",
@@ -1595,7 +1659,7 @@
        "      <td>131.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>18</th>\n",
+       "      <th>24</th>\n",
        "      <td>2014</td>\n",
        "      <td>43</td>\n",
        "      <td>0</td>\n",
@@ -1612,28 +1676,34 @@
       ],
       "text/plain": [
        "    year  observed  modelmean  set_1  set_2  set_3  set_4  set_5  set_avg\n",
-       "0   1996         0        110    111    100     99    101    113    105.0\n",
-       "1   1997         0         38     52     34     36     39     35     39.0\n",
-       "2   1998        44          6     11      0      5      2      0      4.0\n",
-       "3   1999        35         20     39      7     21     24      2     19.0\n",
-       "4   2000        20         29     36     26     29     29     22     28.0\n",
-       "5   2001        60          0      0      0      0      0      0      0.0\n",
-       "6   2002        52          0      8      0      0      0      0      2.0\n",
-       "7   2003        51          6     21      0      7      9      0      7.0\n",
-       "8   2004         5         23     41     17     27     31      0     23.0\n",
-       "9   2005         0          0      0      0      0      0      0      0.0\n",
-       "10  2006        42         24     40     20     31     29      0     24.0\n",
-       "11  2007        25         26     42     15     29     31      7     25.0\n",
-       "12  2008        37         21     38     18     23     23      6     22.0\n",
-       "13  2009        42         13     23      8     14     16      0     12.0\n",
-       "14  2010         6          0      0      0      0      0      0      0.0\n",
-       "15  2011        36          0      7      0      3      0      0      2.0\n",
-       "16  2012        13         91     91     88     90     91     64     85.0\n",
-       "17  2013        21        131    130    131    132    133    127    131.0\n",
-       "18  2014        43          0     21      0      0      0      0      4.0"
+       "0   1990        11         36     60     35     34     34     40     41.0\n",
+       "1   1991        16         45     51     39     44     47     40     44.0\n",
+       "2   1992        32          0      4      0      0      0      0      1.0\n",
+       "3   1993        18          0     16      0      4      2      0      4.0\n",
+       "4   1994        36          0      7      0      0      0      0      1.0\n",
+       "5   1995        25         32     43     20     32     37     16     30.0\n",
+       "6   1996         0         97    108     97     99    101     74     96.0\n",
+       "7   1997         0         38     50     34     36     39     32     38.0\n",
+       "8   1998        44          5     11      0      5      2      0      4.0\n",
+       "9   1999        35         18     39      7     21     24      2     19.0\n",
+       "10  2000        20         29     36     26     29     29     22     28.0\n",
+       "11  2001        60          0      0      0      0      0      0      0.0\n",
+       "12  2002        52          0      8      0      0      0      0      2.0\n",
+       "13  2003        51          6     21      0      7      9      0      7.0\n",
+       "14  2004         5         23     41     17     27     31      0     23.0\n",
+       "15  2005         0          0      0      0      0      0      0      0.0\n",
+       "16  2006        42         24     40     20     31     29      0     24.0\n",
+       "17  2007        25         26     42     15     29     31      7     25.0\n",
+       "18  2008        37         21     38     18     23     23      6     22.0\n",
+       "19  2009        42         13     23      8     14     16      0     12.0\n",
+       "20  2010         6          0      0      0      0      0      0      0.0\n",
+       "21  2011        36          0      7      0      3      0      0      2.0\n",
+       "22  2012        13         91     91     88     90     91     64     85.0\n",
+       "23  2013        21        131    130    131    132    133    127    131.0\n",
+       "24  2014        43          0     21      0      0      0      0      4.0"
       ]
      },
-     "execution_count": 44,
+     "execution_count": 51,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1670,7 +1740,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 53,
+   "execution_count": 52,
    "id": "1e9e205d-08bf-4f19-9b12-a0141a4fad99",
    "metadata": {},
    "outputs": [],
@@ -1694,7 +1764,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 54,
+   "execution_count": 53,
    "id": "02d8a545-838c-4da5-9935-22f34d49f4ee",
    "metadata": {},
    "outputs": [
@@ -1752,111 +1822,153 @@
        "      <td>4</td>\n",
        "      <td>5</td>\n",
        "      <td>1.0</td>\n",
-       "      <td>2.0</td>\n",
+       "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>5</td>\n",
        "      <td>6</td>\n",
        "      <td>2.0</td>\n",
-       "      <td>2.0</td>\n",
+       "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5</th>\n",
        "      <td>6</td>\n",
-       "      <td>13</td>\n",
+       "      <td>11</td>\n",
        "      <td>5.0</td>\n",
-       "      <td>4.0</td>\n",
+       "      <td>2.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6</th>\n",
        "      <td>7</td>\n",
-       "      <td>20</td>\n",
+       "      <td>13</td>\n",
        "      <td>10.0</td>\n",
-       "      <td>4.0</td>\n",
+       "      <td>2.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>7</th>\n",
        "      <td>8</td>\n",
-       "      <td>21</td>\n",
+       "      <td>16</td>\n",
        "      <td>17.0</td>\n",
-       "      <td>7.0</td>\n",
+       "      <td>4.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>8</th>\n",
        "      <td>9</td>\n",
-       "      <td>25</td>\n",
+       "      <td>18</td>\n",
        "      <td>19.0</td>\n",
-       "      <td>12.0</td>\n",
+       "      <td>4.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>9</th>\n",
        "      <td>10</td>\n",
-       "      <td>35</td>\n",
-       "      <td>22.0</td>\n",
+       "      <td>20</td>\n",
        "      <td>19.0</td>\n",
+       "      <td>4.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>10</th>\n",
        "      <td>11</td>\n",
-       "      <td>36</td>\n",
-       "      <td>32.0</td>\n",
+       "      <td>21</td>\n",
        "      <td>22.0</td>\n",
+       "      <td>7.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>11</th>\n",
        "      <td>12</td>\n",
-       "      <td>37</td>\n",
-       "      <td>34.0</td>\n",
-       "      <td>23.0</td>\n",
+       "      <td>25</td>\n",
+       "      <td>24.0</td>\n",
+       "      <td>12.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>12</th>\n",
        "      <td>13</td>\n",
-       "      <td>42</td>\n",
-       "      <td>36.0</td>\n",
-       "      <td>24.0</td>\n",
+       "      <td>25</td>\n",
+       "      <td>29.0</td>\n",
+       "      <td>19.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>13</th>\n",
        "      <td>14</td>\n",
-       "      <td>42</td>\n",
-       "      <td>41.0</td>\n",
-       "      <td>25.0</td>\n",
+       "      <td>32</td>\n",
+       "      <td>30.0</td>\n",
+       "      <td>22.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>14</th>\n",
        "      <td>15</td>\n",
-       "      <td>43</td>\n",
-       "      <td>45.0</td>\n",
-       "      <td>28.0</td>\n",
+       "      <td>35</td>\n",
+       "      <td>32.0</td>\n",
+       "      <td>23.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>15</th>\n",
        "      <td>16</td>\n",
-       "      <td>44</td>\n",
-       "      <td>54.0</td>\n",
-       "      <td>39.0</td>\n",
+       "      <td>36</td>\n",
+       "      <td>34.0</td>\n",
+       "      <td>24.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>16</th>\n",
        "      <td>17</td>\n",
-       "      <td>51</td>\n",
-       "      <td>58.0</td>\n",
-       "      <td>85.0</td>\n",
+       "      <td>36</td>\n",
+       "      <td>36.0</td>\n",
+       "      <td>25.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>17</th>\n",
        "      <td>18</td>\n",
-       "      <td>52</td>\n",
-       "      <td>59.0</td>\n",
-       "      <td>105.0</td>\n",
+       "      <td>37</td>\n",
+       "      <td>39.0</td>\n",
+       "      <td>28.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>18</th>\n",
        "      <td>19</td>\n",
+       "      <td>42</td>\n",
+       "      <td>41.0</td>\n",
+       "      <td>30.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>20</td>\n",
+       "      <td>42</td>\n",
+       "      <td>45.0</td>\n",
+       "      <td>38.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>21</td>\n",
+       "      <td>43</td>\n",
+       "      <td>54.0</td>\n",
+       "      <td>41.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>22</td>\n",
+       "      <td>44</td>\n",
+       "      <td>58.0</td>\n",
+       "      <td>44.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>23</td>\n",
+       "      <td>51</td>\n",
+       "      <td>59.0</td>\n",
+       "      <td>85.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>24</td>\n",
+       "      <td>52</td>\n",
+       "      <td>67.0</td>\n",
+       "      <td>96.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>25</td>\n",
        "      <td>60</td>\n",
-       "      <td>102.0</td>\n",
+       "      <td>101.0</td>\n",
        "      <td>131.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -1868,25 +1980,31 @@
        "0      1         0    0.0    0.0\n",
        "1      2         0    0.0    0.0\n",
        "2      3         0    0.0    0.0\n",
-       "3      4         5    1.0    2.0\n",
-       "4      5         6    2.0    2.0\n",
-       "5      6        13    5.0    4.0\n",
-       "6      7        20   10.0    4.0\n",
-       "7      8        21   17.0    7.0\n",
-       "8      9        25   19.0   12.0\n",
-       "9     10        35   22.0   19.0\n",
-       "10    11        36   32.0   22.0\n",
-       "11    12        37   34.0   23.0\n",
-       "12    13        42   36.0   24.0\n",
-       "13    14        42   41.0   25.0\n",
-       "14    15        43   45.0   28.0\n",
-       "15    16        44   54.0   39.0\n",
-       "16    17        51   58.0   85.0\n",
-       "17    18        52   59.0  105.0\n",
-       "18    19        60  102.0  131.0"
+       "3      4         5    1.0    1.0\n",
+       "4      5         6    2.0    1.0\n",
+       "5      6        11    5.0    2.0\n",
+       "6      7        13   10.0    2.0\n",
+       "7      8        16   17.0    4.0\n",
+       "8      9        18   19.0    4.0\n",
+       "9     10        20   19.0    4.0\n",
+       "10    11        21   22.0    7.0\n",
+       "11    12        25   24.0   12.0\n",
+       "12    13        25   29.0   19.0\n",
+       "13    14        32   30.0   22.0\n",
+       "14    15        35   32.0   23.0\n",
+       "15    16        36   34.0   24.0\n",
+       "16    17        36   36.0   25.0\n",
+       "17    18        37   39.0   28.0\n",
+       "18    19        42   41.0   30.0\n",
+       "19    20        42   45.0   38.0\n",
+       "20    21        43   54.0   41.0\n",
+       "21    22        44   58.0   44.0\n",
+       "22    23        51   59.0   85.0\n",
+       "23    24        52   67.0   96.0\n",
+       "24    25        60  101.0  131.0"
       ]
      },
-     "execution_count": 54,
+     "execution_count": 53,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1900,7 +2018,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 55,
+   "execution_count": 54,
    "id": "f87182f3-7a63-4856-9594-f53b5dd421b8",
    "metadata": {},
    "outputs": [
@@ -1953,97 +2071,133 @@
        "      <th>3</th>\n",
        "      <td>5</td>\n",
        "      <td>1.0</td>\n",
-       "      <td>2.0</td>\n",
+       "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>11</td>\n",
        "      <td>3.0</td>\n",
-       "      <td>4.0</td>\n",
+       "      <td>2.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5</th>\n",
-       "      <td>24</td>\n",
-       "      <td>8.0</td>\n",
+       "      <td>22</td>\n",
        "      <td>8.0</td>\n",
+       "      <td>4.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6</th>\n",
-       "      <td>44</td>\n",
+       "      <td>35</td>\n",
        "      <td>18.0</td>\n",
-       "      <td>12.0</td>\n",
+       "      <td>6.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>7</th>\n",
-       "      <td>65</td>\n",
+       "      <td>51</td>\n",
        "      <td>35.0</td>\n",
-       "      <td>19.0</td>\n",
+       "      <td>10.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>8</th>\n",
-       "      <td>90</td>\n",
+       "      <td>69</td>\n",
        "      <td>54.0</td>\n",
-       "      <td>31.0</td>\n",
+       "      <td>14.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>9</th>\n",
-       "      <td>125</td>\n",
-       "      <td>76.0</td>\n",
-       "      <td>50.0</td>\n",
+       "      <td>89</td>\n",
+       "      <td>73.0</td>\n",
+       "      <td>18.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>10</th>\n",
-       "      <td>161</td>\n",
-       "      <td>108.0</td>\n",
-       "      <td>72.0</td>\n",
+       "      <td>110</td>\n",
+       "      <td>95.0</td>\n",
+       "      <td>25.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>11</th>\n",
-       "      <td>198</td>\n",
-       "      <td>142.0</td>\n",
-       "      <td>95.0</td>\n",
+       "      <td>135</td>\n",
+       "      <td>119.0</td>\n",
+       "      <td>37.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>12</th>\n",
-       "      <td>240</td>\n",
-       "      <td>178.0</td>\n",
-       "      <td>119.0</td>\n",
+       "      <td>160</td>\n",
+       "      <td>148.0</td>\n",
+       "      <td>56.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>13</th>\n",
-       "      <td>282</td>\n",
-       "      <td>219.0</td>\n",
-       "      <td>144.0</td>\n",
+       "      <td>192</td>\n",
+       "      <td>178.0</td>\n",
+       "      <td>78.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>14</th>\n",
-       "      <td>325</td>\n",
-       "      <td>264.0</td>\n",
-       "      <td>172.0</td>\n",
+       "      <td>227</td>\n",
+       "      <td>210.0</td>\n",
+       "      <td>101.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>15</th>\n",
-       "      <td>369</td>\n",
-       "      <td>318.0</td>\n",
-       "      <td>211.0</td>\n",
+       "      <td>263</td>\n",
+       "      <td>244.0</td>\n",
+       "      <td>125.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>16</th>\n",
-       "      <td>420</td>\n",
-       "      <td>376.0</td>\n",
-       "      <td>296.0</td>\n",
+       "      <td>299</td>\n",
+       "      <td>280.0</td>\n",
+       "      <td>150.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>17</th>\n",
-       "      <td>472</td>\n",
-       "      <td>435.0</td>\n",
-       "      <td>401.0</td>\n",
+       "      <td>336</td>\n",
+       "      <td>319.0</td>\n",
+       "      <td>178.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>18</th>\n",
-       "      <td>532</td>\n",
-       "      <td>537.0</td>\n",
-       "      <td>532.0</td>\n",
+       "      <td>378</td>\n",
+       "      <td>360.0</td>\n",
+       "      <td>208.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>420</td>\n",
+       "      <td>405.0</td>\n",
+       "      <td>246.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>463</td>\n",
+       "      <td>459.0</td>\n",
+       "      <td>287.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>507</td>\n",
+       "      <td>517.0</td>\n",
+       "      <td>331.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>558</td>\n",
+       "      <td>576.0</td>\n",
+       "      <td>416.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>610</td>\n",
+       "      <td>643.0</td>\n",
+       "      <td>512.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>670</td>\n",
+       "      <td>744.0</td>\n",
+       "      <td>643.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -2054,25 +2208,31 @@
        "0                 0          0.0           0.0\n",
        "1                 0          0.0           0.0\n",
        "2                 0          0.0           0.0\n",
-       "3                 5          1.0           2.0\n",
-       "4                11          3.0           4.0\n",
-       "5                24          8.0           8.0\n",
-       "6                44         18.0          12.0\n",
-       "7                65         35.0          19.0\n",
-       "8                90         54.0          31.0\n",
-       "9               125         76.0          50.0\n",
-       "10              161        108.0          72.0\n",
-       "11              198        142.0          95.0\n",
-       "12              240        178.0         119.0\n",
-       "13              282        219.0         144.0\n",
-       "14              325        264.0         172.0\n",
-       "15              369        318.0         211.0\n",
-       "16              420        376.0         296.0\n",
-       "17              472        435.0         401.0\n",
-       "18              532        537.0         532.0"
+       "3                 5          1.0           1.0\n",
+       "4                11          3.0           2.0\n",
+       "5                22          8.0           4.0\n",
+       "6                35         18.0           6.0\n",
+       "7                51         35.0          10.0\n",
+       "8                69         54.0          14.0\n",
+       "9                89         73.0          18.0\n",
+       "10              110         95.0          25.0\n",
+       "11              135        119.0          37.0\n",
+       "12              160        148.0          56.0\n",
+       "13              192        178.0          78.0\n",
+       "14              227        210.0         101.0\n",
+       "15              263        244.0         125.0\n",
+       "16              299        280.0         150.0\n",
+       "17              336        319.0         178.0\n",
+       "18              378        360.0         208.0\n",
+       "19              420        405.0         246.0\n",
+       "20              463        459.0         287.0\n",
+       "21              507        517.0         331.0\n",
+       "22              558        576.0         416.0\n",
+       "23              610        643.0         512.0\n",
+       "24              670        744.0         643.0"
       ]
      },
-     "execution_count": 55,
+     "execution_count": 54,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2090,7 +2250,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 56,
+   "execution_count": 55,
    "id": "78105310-3388-48fa-9471-54003b019753",
    "metadata": {},
    "outputs": [],
@@ -2101,12 +2261,7 @@
     "\n",
     "    # Plot cumsum for all columns, skipping rank column\n",
     "    for i in range(1, len(rank_table.columns)):\n",
-    "        plt.plot(\n",
-    "            rank_table[\"rank\"],\n",
-    "            rank_table[rank_table.columns[i]].cumsum(),\n",
-    "            marker=\"o\",\n",
-    "            label=rank_table.columns[i]\n",
-    "        )\n",
+    "        plt.plot(rank_table[\"rank\"], rank_table[rank_table.columns[i]].cumsum(), marker=\"o\", label=rank_table.columns[i])\n",
     "\n",
     "    # Plotting\n",
     "    plt.xlabel(\"Ranked years\")\n",
@@ -2120,13 +2275,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 57,
+   "execution_count": 56,
    "id": "b3fa8488-2d3f-4dbd-b82c-e3f8c5bb04d8",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 800x500 with 1 Axes>"
       ]
@@ -2149,7 +2304,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 57,
    "id": "cee6e4aa-f4be-45c7-9d7a-d70782c60ad4",
    "metadata": {},
    "outputs": [],
@@ -2177,7 +2332,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 58,
    "id": "ccfd9d00-8165-4a95-a9bc-04d017c2d150",
    "metadata": {},
    "outputs": [],
@@ -2230,7 +2385,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": 59,
    "id": "2d4ef549-838f-44ce-884b-99c5a3447cbd",
    "metadata": {},
    "outputs": [
@@ -2266,76 +2421,76 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>1995-01-02</th>\n",
-       "      <td>81.398729</td>\n",
-       "      <td>59.3157</td>\n",
+       "      <th>1989-01-02</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>30.716823</td>\n",
-       "      <td>102.788981</td>\n",
-       "      <td>54.844047</td>\n",
-       "      <td>196.0</td>\n",
+       "      <td>12.40215</td>\n",
+       "      <td>92.004859</td>\n",
+       "      <td>20.881402</td>\n",
+       "      <td>141.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1995-01-03</th>\n",
-       "      <td>81.398729</td>\n",
-       "      <td>59.3157</td>\n",
+       "      <th>1989-01-03</th>\n",
        "      <td>0.0</td>\n",
-       "      <td>30.716823</td>\n",
-       "      <td>102.788981</td>\n",
-       "      <td>54.844047</td>\n",
-       "      <td>194.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>12.40215</td>\n",
+       "      <td>92.004859</td>\n",
+       "      <td>20.881402</td>\n",
+       "      <td>141.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1995-01-04</th>\n",
-       "      <td>81.398729</td>\n",
-       "      <td>59.3157</td>\n",
+       "      <th>1989-01-04</th>\n",
+       "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>30.716823</td>\n",
-       "      <td>102.788981</td>\n",
-       "      <td>54.844047</td>\n",
-       "      <td>191.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>12.40215</td>\n",
+       "      <td>92.004859</td>\n",
+       "      <td>20.881402</td>\n",
+       "      <td>139.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1995-01-05</th>\n",
-       "      <td>81.398729</td>\n",
-       "      <td>59.3157</td>\n",
+       "      <th>1989-01-05</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>30.716823</td>\n",
-       "      <td>102.788981</td>\n",
-       "      <td>54.844047</td>\n",
-       "      <td>186.0</td>\n",
+       "      <td>12.40215</td>\n",
+       "      <td>92.004859</td>\n",
+       "      <td>20.881402</td>\n",
+       "      <td>135.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1995-01-06</th>\n",
-       "      <td>81.398729</td>\n",
-       "      <td>59.3157</td>\n",
+       "      <th>1989-01-06</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>30.716823</td>\n",
-       "      <td>102.788981</td>\n",
-       "      <td>54.844047</td>\n",
-       "      <td>180.0</td>\n",
+       "      <td>12.40215</td>\n",
+       "      <td>92.004859</td>\n",
+       "      <td>20.881402</td>\n",
+       "      <td>135.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "                Set 1    Set 2  Set 3      Set 4       Set 5       Mean  \\\n",
-       "1995-01-02  81.398729  59.3157    0.0  30.716823  102.788981  54.844047   \n",
-       "1995-01-03  81.398729  59.3157    0.0  30.716823  102.788981  54.844047   \n",
-       "1995-01-04  81.398729  59.3157    0.0  30.716823  102.788981  54.844047   \n",
-       "1995-01-05  81.398729  59.3157    0.0  30.716823  102.788981  54.844047   \n",
-       "1995-01-06  81.398729  59.3157    0.0  30.716823  102.788981  54.844047   \n",
+       "            Set 1  Set 2  Set 3     Set 4      Set 5       Mean  \\\n",
+       "1989-01-02    0.0    0.0    0.0  12.40215  92.004859  20.881402   \n",
+       "1989-01-03    0.0    0.0    0.0  12.40215  92.004859  20.881402   \n",
+       "1989-01-04    0.0    0.0    0.0  12.40215  92.004859  20.881402   \n",
+       "1989-01-05    0.0    0.0    0.0  12.40215  92.004859  20.881402   \n",
+       "1989-01-06    0.0    0.0    0.0  12.40215  92.004859  20.881402   \n",
        "\n",
        "            Observed discharge  \n",
-       "1995-01-02               196.0  \n",
-       "1995-01-03               194.0  \n",
-       "1995-01-04               191.0  \n",
-       "1995-01-05               186.0  \n",
-       "1995-01-06               180.0  "
+       "1989-01-02               141.0  \n",
+       "1989-01-03               141.0  \n",
+       "1989-01-04               139.0  \n",
+       "1989-01-05               135.0  \n",
+       "1989-01-06               135.0  "
       ]
      },
-     "execution_count": 49,
+     "execution_count": 59,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2353,10 +2508,410 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 60,
    "id": "63008778-e23d-4fae-b8f9-f61c789934d7",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">observed      <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">670.0</span>\n",
+       "modelmean     <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">858.0</span>\n",
+       "set_1        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1084.0</span>\n",
+       "set_2         <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">804.0</span>\n",
+       "set_3         <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">880.0</span>\n",
+       "set_4         <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">892.0</span>\n",
+       "set_5         <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">631.0</span>\n",
+       "set_avg       <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">856.0</span>\n",
+       "dtype: float64\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "observed      \u001b[1;36m670.0\u001b[0m\n",
+       "modelmean     \u001b[1;36m858.0\u001b[0m\n",
+       "set_1        \u001b[1;36m1084.0\u001b[0m\n",
+       "set_2         \u001b[1;36m804.0\u001b[0m\n",
+       "set_3         \u001b[1;36m880.0\u001b[0m\n",
+       "set_4         \u001b[1;36m892.0\u001b[0m\n",
+       "set_5         \u001b[1;36m631.0\u001b[0m\n",
+       "set_avg       \u001b[1;36m856.0\u001b[0m\n",
+       "dtype: float64\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>year</th>\n",
+       "      <th>observed</th>\n",
+       "      <th>modelmean</th>\n",
+       "      <th>set_1</th>\n",
+       "      <th>set_2</th>\n",
+       "      <th>set_3</th>\n",
+       "      <th>set_4</th>\n",
+       "      <th>set_5</th>\n",
+       "      <th>set_avg</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1990</td>\n",
+       "      <td>11</td>\n",
+       "      <td>60</td>\n",
+       "      <td>68</td>\n",
+       "      <td>42</td>\n",
+       "      <td>44</td>\n",
+       "      <td>57</td>\n",
+       "      <td>63</td>\n",
+       "      <td>55.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1991</td>\n",
+       "      <td>16</td>\n",
+       "      <td>49</td>\n",
+       "      <td>53</td>\n",
+       "      <td>44</td>\n",
+       "      <td>47</td>\n",
+       "      <td>50</td>\n",
+       "      <td>45</td>\n",
+       "      <td>48.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1992</td>\n",
+       "      <td>32</td>\n",
+       "      <td>2</td>\n",
+       "      <td>6</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1993</td>\n",
+       "      <td>18</td>\n",
+       "      <td>15</td>\n",
+       "      <td>37</td>\n",
+       "      <td>14</td>\n",
+       "      <td>17</td>\n",
+       "      <td>20</td>\n",
+       "      <td>0</td>\n",
+       "      <td>18.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1994</td>\n",
+       "      <td>36</td>\n",
+       "      <td>0</td>\n",
+       "      <td>13</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>1995</td>\n",
+       "      <td>25</td>\n",
+       "      <td>37</td>\n",
+       "      <td>46</td>\n",
+       "      <td>25</td>\n",
+       "      <td>36</td>\n",
+       "      <td>40</td>\n",
+       "      <td>23</td>\n",
+       "      <td>34.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>1996</td>\n",
+       "      <td>0</td>\n",
+       "      <td>113</td>\n",
+       "      <td>115</td>\n",
+       "      <td>111</td>\n",
+       "      <td>113</td>\n",
+       "      <td>118</td>\n",
+       "      <td>110</td>\n",
+       "      <td>113.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>1997</td>\n",
+       "      <td>0</td>\n",
+       "      <td>42</td>\n",
+       "      <td>55</td>\n",
+       "      <td>39</td>\n",
+       "      <td>40</td>\n",
+       "      <td>44</td>\n",
+       "      <td>38</td>\n",
+       "      <td>43.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>1998</td>\n",
+       "      <td>44</td>\n",
+       "      <td>9</td>\n",
+       "      <td>19</td>\n",
+       "      <td>8</td>\n",
+       "      <td>9</td>\n",
+       "      <td>8</td>\n",
+       "      <td>6</td>\n",
+       "      <td>10.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>1999</td>\n",
+       "      <td>35</td>\n",
+       "      <td>42</td>\n",
+       "      <td>54</td>\n",
+       "      <td>35</td>\n",
+       "      <td>47</td>\n",
+       "      <td>45</td>\n",
+       "      <td>13</td>\n",
+       "      <td>39.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>2000</td>\n",
+       "      <td>20</td>\n",
+       "      <td>34</td>\n",
+       "      <td>38</td>\n",
+       "      <td>33</td>\n",
+       "      <td>35</td>\n",
+       "      <td>34</td>\n",
+       "      <td>28</td>\n",
+       "      <td>34.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>2001</td>\n",
+       "      <td>60</td>\n",
+       "      <td>0</td>\n",
+       "      <td>5</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>2002</td>\n",
+       "      <td>52</td>\n",
+       "      <td>1</td>\n",
+       "      <td>14</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>2003</td>\n",
+       "      <td>51</td>\n",
+       "      <td>27</td>\n",
+       "      <td>44</td>\n",
+       "      <td>27</td>\n",
+       "      <td>39</td>\n",
+       "      <td>21</td>\n",
+       "      <td>0</td>\n",
+       "      <td>26.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>2004</td>\n",
+       "      <td>5</td>\n",
+       "      <td>50</td>\n",
+       "      <td>61</td>\n",
+       "      <td>51</td>\n",
+       "      <td>63</td>\n",
+       "      <td>49</td>\n",
+       "      <td>18</td>\n",
+       "      <td>48.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>2005</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>2006</td>\n",
+       "      <td>42</td>\n",
+       "      <td>45</td>\n",
+       "      <td>57</td>\n",
+       "      <td>45</td>\n",
+       "      <td>50</td>\n",
+       "      <td>47</td>\n",
+       "      <td>18</td>\n",
+       "      <td>43.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>2007</td>\n",
+       "      <td>25</td>\n",
+       "      <td>34</td>\n",
+       "      <td>47</td>\n",
+       "      <td>29</td>\n",
+       "      <td>36</td>\n",
+       "      <td>44</td>\n",
+       "      <td>15</td>\n",
+       "      <td>34.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>2008</td>\n",
+       "      <td>37</td>\n",
+       "      <td>40</td>\n",
+       "      <td>43</td>\n",
+       "      <td>53</td>\n",
+       "      <td>42</td>\n",
+       "      <td>42</td>\n",
+       "      <td>22</td>\n",
+       "      <td>40.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>2009</td>\n",
+       "      <td>42</td>\n",
+       "      <td>19</td>\n",
+       "      <td>36</td>\n",
+       "      <td>14</td>\n",
+       "      <td>19</td>\n",
+       "      <td>22</td>\n",
+       "      <td>10</td>\n",
+       "      <td>20.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>2010</td>\n",
+       "      <td>6</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>2011</td>\n",
+       "      <td>36</td>\n",
+       "      <td>5</td>\n",
+       "      <td>17</td>\n",
+       "      <td>4</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4</td>\n",
+       "      <td>0</td>\n",
+       "      <td>6.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>2012</td>\n",
+       "      <td>13</td>\n",
+       "      <td>94</td>\n",
+       "      <td>99</td>\n",
+       "      <td>94</td>\n",
+       "      <td>94</td>\n",
+       "      <td>96</td>\n",
+       "      <td>89</td>\n",
+       "      <td>94.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>2013</td>\n",
+       "      <td>21</td>\n",
+       "      <td>134</td>\n",
+       "      <td>132</td>\n",
+       "      <td>136</td>\n",
+       "      <td>135</td>\n",
+       "      <td>135</td>\n",
+       "      <td>133</td>\n",
+       "      <td>134.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>2014</td>\n",
+       "      <td>43</td>\n",
+       "      <td>6</td>\n",
+       "      <td>24</td>\n",
+       "      <td>0</td>\n",
+       "      <td>4</td>\n",
+       "      <td>12</td>\n",
+       "      <td>0</td>\n",
+       "      <td>8.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    year  observed  modelmean  set_1  set_2  set_3  set_4  set_5  set_avg\n",
+       "0   1990        11         60     68     42     44     57     63     55.0\n",
+       "1   1991        16         49     53     44     47     50     45     48.0\n",
+       "2   1992        32          2      6      0      2      1      0      2.0\n",
+       "3   1993        18         15     37     14     17     20      0     18.0\n",
+       "4   1994        36          0     13      0      0      2      0      3.0\n",
+       "5   1995        25         37     46     25     36     40     23     34.0\n",
+       "6   1996         0        113    115    111    113    118    110    113.0\n",
+       "7   1997         0         42     55     39     40     44     38     43.0\n",
+       "8   1998        44          9     19      8      9      8      6     10.0\n",
+       "9   1999        35         42     54     35     47     45     13     39.0\n",
+       "10  2000        20         34     38     33     35     34     28     34.0\n",
+       "11  2001        60          0      5      0      0      0      0      1.0\n",
+       "12  2002        52          1     14      0      1      1      0      3.0\n",
+       "13  2003        51         27     44     27     39     21      0     26.0\n",
+       "14  2004         5         50     61     51     63     49     18     48.0\n",
+       "15  2005         0          0      1      0      0      0      0      0.0\n",
+       "16  2006        42         45     57     45     50     47     18     43.0\n",
+       "17  2007        25         34     47     29     36     44     15     34.0\n",
+       "18  2008        37         40     43     53     42     42     22     40.0\n",
+       "19  2009        42         19     36     14     19     22     10     20.0\n",
+       "20  2010         6          0      0      0      0      0      0      0.0\n",
+       "21  2011        36          5     17      4      7      4      0      6.0\n",
+       "22  2012        13         94     99     94     94     96     89     94.0\n",
+       "23  2013        21        134    132    136    135    135    133    134.0\n",
+       "24  2014        43          6     24      0      4     12      0      8.0"
+      ]
+     },
+     "execution_count": 60,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "lowflow_CMIP_corrected = lowflow_counter_ensemble(\n",
     "    ensemble_data=ensemble_data_CMIP_corrected,\n",
diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step7_CMIP_Projections.ipynb b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step7_CMIP_Projections.ipynb
index fd18b0e6..ea3c7ac0 100644
--- a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step7_CMIP_Projections.ipynb
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step7_CMIP_Projections.ipynb
@@ -30,7 +30,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 3,
    "id": "71668e92-f5c4-49b2-9eed-20f91997c193",
    "metadata": {},
    "outputs": [],
@@ -47,6 +47,7 @@
     "import matplotlib.pyplot as plt\n",
     "import xarray as xr\n",
     "from scipy.interpolate import interp1d\n",
+    "from scipy.stats import linregress\n",
     "\n",
     "# Niceties\n",
     "from rich import print"
@@ -54,7 +55,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 4,
    "id": "f2135c0b-ba31-4f05-bf37-435a99b1788f",
    "metadata": {},
    "outputs": [],
@@ -67,7 +68,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 3,
    "id": "c5166bb7-f81f-4967-a65a-d1933464ce7f",
    "metadata": {},
    "outputs": [],
@@ -83,21 +84,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 59,
+   "execution_count": 4,
    "id": "6880e7f0-2609-4c3f-82bd-c2440981fa72",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[1989]"
-      ]
-     },
-     "execution_count": 59,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Define only future scenarios\n",
     "scenarios = [\"ssp126\", \"ssp245\", \"ssp370\"]\n",
@@ -106,7 +96,7 @@
     "scenarios_new = [\"historical\", \"ssp126\", \"ssp245\", \"ssp370\"]\n",
     "\n",
     "# Attach colours to scenarios to make plotting easier \n",
-    "colours = {\"historical\": \"black\", \"ssp126\": \"green\", \"ssp245\": \"blue\", \"ssp370\": \"orange\"}\n",
+    "colours = {\"historical\": \"tab:blue\", \"ssp126\": \"green\", \"ssp245\": \"orange\", \"ssp370\": \"red\"}\n",
     "\n",
     "# Define periods\n",
     "periods = [[2025, 2050, 2075],\n",
@@ -117,7 +107,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 5,
    "id": "c398fe4d-66fb-430a-8f82-ad85e924f592",
    "metadata": {},
    "outputs": [],
@@ -140,7 +130,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 6,
    "id": "a7bab7da-b7e7-442c-b4b0-e5c3b0ededcb",
    "metadata": {},
    "outputs": [],
@@ -160,7 +150,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 7,
    "id": "1bd0e989-16f3-4cd9-81b7-dcfaf582cc7d",
    "metadata": {},
    "outputs": [],
@@ -197,7 +187,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 8,
    "id": "d776ff36-b69a-4321-9468-d4fa85350ef3",
    "metadata": {},
    "outputs": [],
@@ -225,7 +215,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 9,
    "id": "c60f825e-520a-4b00-83ab-16bdcfe60471",
    "metadata": {},
    "outputs": [],
@@ -246,7 +236,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 10,
    "id": "70664027-bb24-47cc-814d-eb8eccbc1715",
    "metadata": {},
    "outputs": [],
@@ -299,7 +289,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 11,
    "id": "1dab11de-a9f9-4e58-bc05-29926875e2d0",
    "metadata": {},
    "outputs": [],
@@ -362,7 +352,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 12,
    "id": "2a55954f-3927-4a02-b641-f4ba5fc3725a",
    "metadata": {},
    "outputs": [],
@@ -426,7 +416,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 1,
    "id": "61884551-cc91-4478-bb2d-73eba100630b",
    "metadata": {},
    "outputs": [],
@@ -463,35 +453,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 2,
    "id": "18c80e0a-3c39-4ec4-91b7-49a5190ee3fd",
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Observed average low-flow days/year: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">27</span>\n",
-       "</pre>\n"
-      ],
-      "text/plain": [
-       "Observed average low-flow days/year: \u001b[1;36m27\u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Observed total low-flow days: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">703</span>\n",
-       "</pre>\n"
-      ],
-      "text/plain": [
-       "Observed total low-flow days: \u001b[1;36m703\u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
+     "ename": "NameError",
+     "evalue": "name 'pd' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[2], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m observed_lowflows, observed_avg \u001b[38;5;241m=\u001b[39m \u001b[43mobserved_lowflow_days\u001b[49m\u001b[43m(\u001b[49m\u001b[43mstart_year\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m2000\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mend_year\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m2025\u001b[39;49m\u001b[43m)\u001b[49m\n",
+      "Cell \u001b[0;32mIn[1], line 7\u001b[0m, in \u001b[0;36mobserved_lowflow_days\u001b[0;34m(start_year, end_year)\u001b[0m\n\u001b[1;32m      3\u001b[0m observed_lowflows \u001b[38;5;241m=\u001b[39m []\n\u001b[1;32m      5\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m year \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(start_year, end_year \u001b[38;5;241m+\u001b[39m \u001b[38;5;241m1\u001b[39m):\n\u001b[0;32m----> 7\u001b[0m     season_start \u001b[38;5;241m=\u001b[39m \u001b[43mpd\u001b[49m\u001b[38;5;241m.\u001b[39mto_datetime(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00myear\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m-05-18\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m      8\u001b[0m     season_end \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mto_datetime(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00myear\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m-10-17\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m     10\u001b[0m     year_data \u001b[38;5;241m=\u001b[39m q_obs[\n\u001b[1;32m     11\u001b[0m         (q_obs[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mDate\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m>\u001b[39m\u001b[38;5;241m=\u001b[39m season_start) \u001b[38;5;241m&\u001b[39m\n\u001b[1;32m     12\u001b[0m         (q_obs[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mDate\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m<\u001b[39m\u001b[38;5;241m=\u001b[39m season_end)]\n",
+      "\u001b[0;31mNameError\u001b[0m: name 'pd' is not defined"
+     ]
     }
    ],
    "source": [
@@ -521,7 +497,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 15,
    "id": "33bdfa38-cac6-4eda-8f0e-143e163eea2a",
    "metadata": {},
    "outputs": [],
@@ -530,18 +506,22 @@
     "\n",
     "    print(f\"Running {scenario}, {start_year}-{end_year}\")\n",
     "\n",
+    "    # Find forcing path for scenario and period\n",
     "    forcing_path = forcing_path_cmip(\n",
     "        scenario=scenario,\n",
     "        start_year=start_year,\n",
     "        end_year=end_year)\n",
     "\n",
+    "    # Generate forcing\n",
     "    CMIP_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=forcing_path)\n",
     "\n",
+    "    # Run ensemble \n",
     "    ensemble_data = run_hbv_ensemble(\n",
     "        par_ensemble=par_ensemble,\n",
     "        initial_storages=s_0,\n",
     "        forcing=CMIP_forcing)\n",
     "\n",
+    "    # Calculate lowflows\n",
     "    lowflow_table = lowflow_counter_future(\n",
     "        ensemble_data=ensemble_data,\n",
     "        start_date=pd.to_datetime(f\"{start_year}-01-01\"),\n",
@@ -560,7 +540,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 16,
    "id": "a0bb6899-63e2-41b2-b83e-33a89203d9e1",
    "metadata": {},
    "outputs": [
@@ -1275,13 +1255,17 @@
     "    \n",
     "    for i in range(len(periods[0])):\n",
     "\n",
+    "        # Define start year\n",
     "        start_year = periods[0][i]\n",
     "        end_year = periods[1][i]\n",
     "\n",
+    "        # Define key where data will be saved\n",
     "        key = f\"{scenario}_{start_year}_{end_year}\"\n",
     "\n",
+    "        # Run HBV\n",
     "        ensemble_data, lowflow_table = run_one_projection(scenario=scenario, start_year=start_year, end_year=end_year)\n",
     "\n",
+    "        # Save data in projection_data\n",
     "        projection_data[key] = {\n",
     "            \"ensemble\": ensemble_data,\n",
     "            \"lowflow\": lowflow_table}"
@@ -1320,7 +1304,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 17,
    "id": "f13aa66c-90fc-4de7-b2ca-42c2da16cd04",
    "metadata": {},
    "outputs": [],
@@ -1331,20 +1315,26 @@
     "\n",
     "    for scenario in scenarios:\n",
     "\n",
+    "        # Define table rows \n",
     "        row = {\"scenario\": scenario}\n",
     "\n",
+    "        # Put observed data in table\n",
     "        row[\"Observed 2000-2025\"] = round(observed_avg)\n",
     "\n",
     "        for i in range(len(periods[0])):\n",
     "\n",
+    "            # Define period\n",
     "            start_year = periods[0][i]\n",
     "            end_year = periods[1][i]\n",
     "\n",
+    "            # Take data for relevant scenario and period \n",
     "            key = f\"{scenario}_{start_year}_{end_year}\"\n",
     "            period_name = f\"{start_year}-{end_year}\"\n",
     "\n",
+    "            # Extract data from projection_key\n",
     "            lowflow_table = projection_data[key][\"lowflow\"]\n",
     "\n",
+    "            # Put extracted data in new table\n",
     "            row[period_name] = round(lowflow_table[\"set_avg\"].mean())\n",
     "\n",
     "        rows.append(row)\n",
@@ -1354,7 +1344,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 18,
    "id": "6c40d31a-ab6c-44b7-94f1-e7d538328252",
    "metadata": {},
    "outputs": [
@@ -1422,7 +1412,7 @@
        "2   ssp370                  27         34         45         49"
       ]
      },
-     "execution_count": 35,
+     "execution_count": 18,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1446,7 +1436,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 19,
    "id": "2c509444-3614-42ec-b218-bfff12a5ea31",
    "metadata": {},
    "outputs": [],
@@ -1458,7 +1448,7 @@
     "    # Plot observed historical low flow days\n",
     "    observed_data = observed_lowflows.copy()\n",
     "\n",
-    "    plt.plot(observed_data[\"year\"], observed_data[\"observed_lowflow_days\"], color=colours[\"historical\"], alpha=0.5, label=\"historical\")\n",
+    "    plt.scatter(observed_data[\"year\"], observed_data[\"observed_lowflow_days\"], color=colours[\"historical\"], alpha=0.5, label=\"historical\")\n",
     "\n",
     "    # Historical trendline for 2000-2025\n",
     "    x = observed_data[\"year\"].values\n",
@@ -1498,7 +1488,7 @@
     "\n",
     "\n",
     "        # Plot yearly low flow days\n",
-    "        plt.plot(scenario_data[\"year\"], scenario_data[\"set_avg\"], color=colours[scenario], alpha=0.30, label=scenario)\n",
+    "        plt.scatter(scenario_data[\"year\"], scenario_data[\"set_avg\"], color=colours[scenario], alpha=0.30, label=scenario)\n",
     "\n",
     "        # Plot trendline for 2025-2099\n",
     "        x = scenario_data[\"year\"].values\n",
@@ -1510,8 +1500,8 @@
     "        plt.plot(x, trend, linestyle=\"--\", color=colours[scenario])\n",
     "\n",
     "    plt.xlabel(\"Year\")\n",
-    "    plt.ylabel(\"Annual low-flow days\")\n",
-    "    plt.title(\"Annual low-flow days in LAR basin by climate scenario\")\n",
+    "    plt.ylabel(\"Annual low flow days\")\n",
+    "    plt.title(\"Annual low flow days in LAR basin by climate scenario\")\n",
     "    plt.grid(True)\n",
     "    plt.legend()\n",
     "    plt.show()"
@@ -1519,13 +1509,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 20,
    "id": "61d5ad70-380e-4e98-9f78-6c366cfe45a6",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAwUAAAHUCAYAAABrmITaAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8fJSN1AAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOydd5zUdP7/X0lmZvuyBZbdpYs0WZqiIqiANCmiYvfuxIOfciJyiFfkPBU8FcGGB6d4dxxyZ//asSBFEZEq1YIgSGeXsruwfWaSfH5/ZJJJZjJ1p+6+n48HD3YymeSTfFI+78/rXTjGGANBEARBEARBEM0WPt4NIAiCIAiCIAgivpBRQBAEQRAEQRDNHDIKCIIgCIIgCKKZQ0YBQRAEQRAEQTRzyCggCIIgCIIgiGYOGQUEQRAEQRAE0cwho4AgCIIgCIIgmjlkFBAEQRAEQRBEM4eMAoIgCIIgCIJo5pBRQDRr/v73v4PjOJSUlMS7KY1i7dq14DgOa9eujch6seKvf/0r2rdvD4vFgpycHADAkCFDMGTIkLi2yxeHDh0Cx3F45ZVX4t0UL1555RVwHIdDhw5FbJsdO3bEuHHjgl7/o48+AsdxyM/Ph91u97lNjuO0fxkZGbjwwguxaNEiMMYC7kPtg2eeeSbodkWCaJxfjuMwbdq0iG2vMXAch9mzZ2uf4/msqKurw+zZsxPmOZUsJPLziUgOyCggmjX/+c9/AAA//PADNm/eHOfWNC8+/PBDPPHEE7jjjjvw1VdfYfXq1fFuUlIzduxYbNy4EUVFRXFrw5IlSwAAFRUV+OCDD3yuN2jQIGzcuBEbN27E//73P6Snp+O+++7D3LlzY9TS0EmE8xtLLrzwQmzcuBEXXnhhzPddV1eHOXPmkFEQIkVFRdi4cSPGjh0b76YQSQoZBUSz5dtvv8WuXbu0B6g6oCFiw/fffw8AmD59OgYNGoT+/fvHuUXJTatWrTBgwACkpKTEZf9lZWX49NNPcdVVVyE1NdXv/ZSTk4MBAwZgwIABmDBhAj799FO0aNECL7/8cgxbHBrxPr+xJjs7GwMGDEB2dna8m0IEQJIk2O12pKSkYMCAAWjVqlW8m0QkKWQUEM0WddDy1FNPYeDAgXjzzTdRV1dnWEfvqvDcc8+hU6dOyMzMxGWXXYZNmzYZ1r3zzjuRmZmJ/fv3Y8yYMcjMzES7du3wwAMPGFwpfMnyZtLvt99+i1tvvRUdO3ZEWloaOnbsiNtuuw2HDx+O6Ln46KOPcNlllyE9PR1ZWVkYMWIENm7cqH3/ww8/gOM4/N///Z+2bNu2beA4Dj179jRsa/z48bjooov87q9jx47461//CgBo3bq1l+uCJxUVFZg6dSratGkDm82G8847Dw899JDhvN50001ebbnmmmu82r19+3ZwHIfly5f7beOJEydw8803IysrCy1atMAtt9yCsrIyr/WC6aNDhw7BYrGYzoSvW7fO0MbTp0/j7rvvRrt27ZCSkoJWrVph0KBBAZUUM/eWIUOGoKSkBFu3bsUVV1yB9PR0nHfeeXjqqacgy7Lf7YXKsmXLIIoi7r//fkyYMAFr1qwJ+jrNzs5G165dcfLkyaD3J8synnjiCbRv3x6pqano378/1qxZY1hn//79+O1vf4suXbogPT0dbdq0wTXXXIPvvvvOa1uPP/44unXrhrS0NOTk5KB379544YUXtHWieX5ffvlldO3aFSkpKbjgggvw5ptvat+Fcu344uzZs3jggQdw3nnnISUlBQUFBRgzZgx++uknn78xe06pz7iffvoJo0aNQkZGBoqKivDUU08BADZt2oTLL78cGRkZ6Nq1K5YtW2bY5unTpzF16lRccMEFyMzMREFBAa666ip8/fXXhuNVB7Vz5szR3MzuvPNObZ2ff/4Zt99+OwoKCpCSkoIePXrgH//4h99zoPJ///d/uPTSS9GiRQutvyZNmhTy+XI4HHj88cfRvXt37T797W9/i9OnTxu2pbrgrVixAhdeeCHS0tLQvXt3TaUO5dyo54fjOMyfPx+PP/44OnXqhJSUFHz55Zc+3YfWr1+PYcOGISsrC+np6Rg4cCA++eSToM4X0bwgo4BoltTX1+ONN97AxRdfjJKSEkyaNAnV1dU+X67/+Mc/sGrVKixYsACvvfYaamtrMWbMGJw7d86wntPpxPjx4zFs2DB8+OGHmDRpEp5//nnMmzcvrHYeOnQI3bp1w4IFC/D5559j3rx5KC0txcUXX4wzZ86EtU1PXn/9dVx77bXIzs7GG2+8gSVLlqCyshJDhgzB+vXrAQA9e/ZEUVGRYWC6evVqpKWl4ccff8SJEycAAKIo4quvvsLw4cP97vP999/H5MmTAQArVqzAxo0b8f/+3/8zXbehoQFDhw7Ff//7X8ycOROffPIJfv3rX2P+/PmYMGGCtt7w4cPx448/orS01NCWtLQ0rFq1ytBui8XiN26hvr4ew4cPx8qVKzF37lz83//9HwoLC3HLLbd4rRtMH3Xs2BHjx4/H4sWLIUmS4feLFi1CcXExrr/+egDAb37zG3zwwQd45JFHsHLlSvz73//G8OHDUV5e7vec+qKsrAy/+tWv8Otf/xofffQRRo8ejVmzZuHVV18Na3u++M9//oOioiKMHj0akyZNgizLQfs2i6KIo0ePomvXrkHvb9GiRVixYgUWLFiAV199FTzPY/To0QZj9sSJE8jPz8dTTz2FFStW4B//+AcsFgsuvfRS7N27V1tv/vz5mD17Nm677TZ88skneOuttzB58mScPXs2YDsae34/+ugj/P3vf8djjz2Gd955Bx06dMBtt92Gd955B0Bo144Z1dXVuPzyy/Hyyy/jt7/9LZYvX47Fixeja9eu2r0SCk6nExMmTMDYsWPx4Ycfasf7l7/8BRMnTsSkSZPw/vvvo1u3brjzzjuxbds27bcVFRUAgEcffRSffPIJli5divPOOw9DhgzRjI+ioiKsWLECADB58mTNzezhhx8GAPz444+4+OKL8f333+PZZ5/Fxx9/jLFjx2L69OmYM2eO37Zv3LgRt9xyC8477zy8+eab+OSTT/DII49AFMWQzpcsy7j22mvx1FNP4fbbb8cnn3yCp556CqtWrcKQIUNQX19v2O+uXbvwwAMP4P7778eHH36I3r17Y/LkyVi3bl1I50bP3//+d3zxxRd45pln8Nlnn6F79+6mx/zVV1/hqquuwrlz57BkyRK88cYbyMrKwjXXXIO33nrL7/kimiGMIJoh//3vfxkAtnjxYsYYY9XV1SwzM5NdccUVhvUOHjzIALBevXoxURS15Vu2bGEA2BtvvKEtmzhxIgPA3n77bcM2xowZw7p166Z9/vLLLxkA9uWXX5rua+nSpT7bLYoiq6mpYRkZGeyFF14IuE1PPNeTJIkVFxezXr16MUmStPWqq6tZQUEBGzhwoLbs17/+NTvvvPO0z8OHD2d33XUXy83NZcuWLWOMMfbNN98wAGzlypV+28EYY48++igDwE6fPm1YPnjwYDZ48GDt8+LFi03P67x58wz72r9/PwPA/vvf/zLGGFu/fj0DwP70pz+xTp06ab8bMWKE4bjMeOmllxgA9uGHHxqW33XXXY3uo/fff19bdvz4cWaxWNicOXO0ZZmZmWzGjBl+22fG0qVLGQB28OBBbdngwYMZALZ582bDuhdccAEbNWpUwG126NCBjR07NuB669atYwDYgw8+yBhjTJZl1qlTJ9ahQwcmy7LXNseMGcOcTidzOp3s8OHD7K677mJWq5V9/PHHAfel3ifFxcWsvr5eW15VVcXy8vLY8OHDff5WFEXmcDhYly5d2P33368tHzduHOvbt6/f/Ubj/AJgaWlprKyszNDG7t27s/PPP19bFuy1Y8Zjjz3GALBVq1YFbMujjz7qtU/9M0V9xr377rvaMqfTyVq1asUAsO3bt2vLy8vLmSAIbObMmT73KYoiczqdbNiwYez666/Xlp8+fdqrPSqjRo1ibdu2ZefOnTMsnzZtGktNTWUVFRU+9/fMM88wAOzs2bM+1wnmfL3xxhte54ExxrZu3coAsBdffFFb1qFDB5aamsoOHz6sLauvr2d5eXlsypQpPvfh69yo13/nzp2Zw+Ew/MbsHTJgwABWUFDAqqurDdsuKSlhbdu29bo/ieYNKQVEs2TJkiVIS0vDrbfeCgDIzMzETTfdhK+//ho///yz1/pjx46FIAja5969ewOAl3sEx3G45pprDMt69+4dtrtPTU0N/vznP+P888+HxWKBxWJBZmYmamtrsWfPnrC2qWfv3r04ceIEfvOb34Dn3Y+DzMxM3HDDDdi0aZPmUjVs2DD88ssvOHjwIBoaGrB+/XpcffXVGDp0qDYTv3r1aqSkpODyyy8HoMyoiaKo/fOc6QyGL774AhkZGbjxxhsNy1V3AtVlpHPnzujYsaOmZqxatQq9evXCr3/9axw8eBAHDhyA3W7H+vXrAyoZX375JbKysjB+/HjD8ttvv91r3WD7aMiQIejTp4/BzWHx4sXgOA533323tuySSy7BK6+8gscffxybNm2C0+kM4iz5prCwEJdccolhWWOuSTNUVzzVDUN19zh8+LCXSw8AfPrpp7BarbBarejQoQP+9a9/YeHChSEFSE6YMAGpqanaZ3X2c926ddp1JooinnzySVxwwQWw2WywWCyw2Wz4+eefDX1zySWXYNeuXZg6dSo+//xzVFVVBd2Oxp7fYcOGoXXr1tpnQRBwyy23YP/+/Th27BiA4K8dMz777DN07do14DUfLBzHYcyYMdpni8WC888/H0VFRejXr5+2PC8vDwUFBV7nYfHixbjwwguRmpoKi8UCq9WKNWvWBPU8a2howJo1a3D99dcjPT3d8GwZM2YMGhoavNw69Vx88cUAgJtvvhlvv/02jh8/7rVOMOfr448/Rk5ODq655hpDG/r27YvCwkKvmf2+ffuiffv22ufU1FR07dq1Uedm/PjxsFqtPtsIALW1tdi8eTNuvPFGZGZmassFQcBvfvMbHDt2zKCYEQQZBUSzY//+/Vi3bh3Gjh0LxhjOnj2Ls2fPaoNOT19PAMjPzzd8VoMNPWXi9PR0w0BFXbehoSGstt5+++1YtGgR/t//+3/4/PPPsWXLFmzduhWtWrXy2nc4qC4pZhlViouLIcsyKisrAUB7Sa5evRrr16+H0+nEVVddheHDh2sDv9WrV2PQoEFIS0sDADz22GPa4M9qtaJz585htbGwsBAcxxmWFxQUwGKxGNxqhg0bZmjLiBEj0KtXL7Ru3RqrV6/GN998o7kGBdqnfqCmUlhY6LUslD6aPn061qxZg71798LpdOJf//oXbrzxRsN233rrLUycOBH//ve/cdlllyEvLw933HGHaTxDMHheu4ByTUbi+gGgud1dcsklaNWqlXY/XX/99eA4zjTg+PLLL8fWrVuxadMm/O9//0PHjh0xbdo0zV0tGMz6orCwEA6HAzU1NQCAmTNn4uGHH8Z1112H5cuXY/Pmzdi6dSv69OljOP5Zs2bhmWeewaZNmzB69Gjk5+dj2LBh+PbbbwO2o7Hn19dxADBc28FcO2acPn0abdu2DaotwWD2jLPZbMjLy/Na12azGZ59zz33HO655x5ceumlePfdd7Fp0yZs3boVV199dVDnq7y8HKIoYuHChYbnitVq1QwVf26VV155JT744AOIoog77rgDbdu2RUlJCd544w1tnWDO18mTJ3H27FnYbDavdpSVlXm1IZhrJNRzE0wWrMrKSjDGfD7fAYTtlkg0TSzxbgBBxJr//Oc/YIzhnXfe0fx29SxbtgyPP/64QRmIJOoL1TOPu+eL5Ny5c/j444/x6KOP4sEHH9SW2+12zf+0sagvKzPf4hMnToDneeTm5gIA2rZti65du2L16tXo2LEj+vfvj5ycHAwbNgxTp07F5s2bsWnTJoNf7913323Icx9O5pb8/Hxs3rwZjDGDYXDq1CmIooiWLVtqy4YNG4YlS5Zgy5Yt2Lx5sxbMfNVVV2HVqlU4fPgwMjMzMWDAgID73LJli9dyz4F5qH10++23489//jP+8Y9/YMCAASgrK8O9995rWKdly5ZYsGABFixYgCNHjuCjjz7Cgw8+iFOnTmm+1onEG2+8gbq6OmzZskW7VvS8//77qKysNHzXokULLdvUpZdeiksvvRR9+vTB1KlTsXPnToNq5QszI6msrAw2m02bFX311Vdxxx134MknnzSsd+bMGa0uBqDMds+cORMzZ87E2bNnsXr1avzlL3/BqFGjcPToUaSnpwd1LsLB13EAxsFkMNeOGa1atdIUh3jz6quvYsiQIXjppZcMy6urq4P6fW5urjbL7evYO3Xq5Hcb1157La699lrY7XZs2rQJc+fOxe23346OHTvisssuC+p8tWzZEvn5+T7vx6ysrKCOR0+o58ZzksSM3Nxc8Dzv8/kOwPD8JAhSCohmhSRJWLZsGTp37owvv/zS698DDzyA0tJSfPbZZ1FrQ8eOHQEAu3fvNiz/6KOPDJ85jgNjzGsg/e9//zssNxwzunXrhjZt2uD11183FI6qra3Fu+++q2UkUhk+fDi++OILrFq1CiNGjAAAdO3aFe3bt8cjjzwCp9NpmIUvLi5G//79tX+9evUKuY3Dhg1DTU2NV977//73v9r3+nU5jsPDDz8Mnudx5ZVXau3+8ssvsWrVKlx55ZUBZfehQ4eiurraq09ef/11w+dQ+yg1NRV33303li1bhueeew59+/bFoEGDfLajffv2mDZtGkaMGIHt27f7bXO8WLJkCbKysrBmzRqv++npp5+G3W7Ha6+95ncbXbp0wZ/+9Cd89913QQc/vvfee4ZZ6OrqaixfvhxXXHGFZtBzHOfVN5988omp24hKTk4ObrzxRtx7772oqKiIaLEyM9asWWPIuiRJEt566y107tzZMGMd6rWjMnr0aOzbtw9ffPFFVNofCmb9sXv3bkNwOOBfiR06dCh27NiB3r17G54t6j+zWXkzUlJSMHjwYC0JxI4dOwAEd77GjRuH8vJySJJk2oZu3boF1QY9wZ6bUMjIyMCll16K9957z3AuZVnGq6++qk30EIQKKQVEs+Kzzz7DiRMnMG/ePNPsMyUlJVi0aBGWLFkSUiXXUCgsLMTw4cMxd+5c5ObmokOHDlizZg3ee+89w3rZ2dm48sor8fTTT6Nly5bo2LEjvvrqKyxZssQwy9kYeJ7H/Pnz8atf/Qrjxo3DlClTYLfb8fTTT+Ps2bNaqkGVYcOG4cUXX8SZM2ewYMECw/KlS5ciNzc3YDrSULnjjjvwj3/8AxMnTsShQ4fQq1cvrF+/Hk8++STGjBljMEIKCgpQUlKClStXYujQoZpBM3z4cFRUVKCiogLPPfdcUPt8/vnncccdd+CJJ55Aly5d8Omnn+Lzzz83rBdOH02dOhXz58/Htm3b8O9//9vw3blz5zB06FDcfvvt6N69O7KysrB161asWLHCkGkplpSVlZkqah07dkRqaiq2bNmCe+65B1dddZXXOoMGDcKzzz6LJUuWBKzc+4c//AGLFy/GnDlzcPPNNwdU6gRBwIgRIzBz5kzIsox58+ahqqrKoFSNGzcOr7zyCrp3747evXtj27ZtePrpp73cQ6655hqUlJSgf//+aNWqFQ4fPowFCxagQ4cO6NKli992NJaWLVviqquuwsMPP4yMjAy8+OKL+OmnnwxpSVX8XTu+mDFjBt566y1ce+21ePDBB3HJJZegvr4eX331FcaNG4ehQ4dG+pB8Mm7cOPztb3/Do48+isGDB2Pv3r147LHH0KlTJ0MGoKysLHTo0AEffvghhg0bhry8PO3+euGFF3D55ZfjiiuuwD333IOOHTuiuroa+/fvx/Lly/0O5h955BEcO3YMw4YNQ9u2bXH27Fm88MILsFqtGDx4MIDgztett96K1157DWPGjMHvf/97XHLJJbBarTh27Bi+/PJLXHvttX4zQjXm3ITK3LlzMWLECAwdOhR/+MMfYLPZ8OKLL+L777/HG2+8EZTiQDQj4hjkTBAx57rrrmM2m42dOnXK5zq33nors1gsrKysTMvm8PTTT3utB4/sGBMnTmQZGRle66lZdvSUlpayG2+8keXl5bEWLVqwX//61+zbb7/1yhxx7NgxdsMNN7Dc3FyWlZXFrr76avb999+zDh06sIkTJ2rrhZt9SOWDDz5gl156KUtNTWUZGRls2LBh7JtvvvH6fWVlJeN5nmVkZBgyX7z22msMAJswYYLf/Zudl0DZhxhTMpn87ne/Y0VFRcxisbAOHTqwWbNmsYaGBq/t3n///QwAe+KJJwzLu3TpwgCw3bt3B9U+9dxnZmayrKwsdsMNN7ANGzaE3Ud6hgwZwvLy8lhdXZ1heUNDA/vd737HevfuzbKzs1laWhrr1q0be/TRR1ltba3f9vrKjtOzZ0+vdSdOnMg6dOgQ8Bx06NCBATD9N3HiRDZjxgwGgO3cudPnNh588EEGgG3btk3bpq+MRv/4xz8YAC2blRnqPTlv3jw2Z84c1rZtW2az2Vi/fv3Y559/bli3srKSTZ48mRUUFLD09HR2+eWXs6+//trrGnv22WfZwIEDWcuWLZnNZmPt27dnkydPZocOHdLWicb5BcDuvfde9uKLL7LOnTszq9XKunfvzl577TWfv/F17fijsrKS/f73v2ft27dnVquVFRQUsLFjx7KffvrJ0JZgsg+ZPeN8nQfPvrbb7ewPf/gDa9OmDUtNTWUXXngh++CDD0zP1+rVq1m/fv1YSkqKdr2pHDx4kE2aNIm1adOGWa1W1qpVKzZw4ED2+OOP+z0PH3/8MRs9ejRr06YNs9lsrKCggI0ZM4Z9/fXXIZ8vp9PJnnnmGdanTx+WmprKMjMzWffu3dmUKVPYzz//7PMc6M+Z/hoM9tz4eyf5ymD39ddfs6uuuoplZGSwtLQ0NmDAALZ8+XK/54ponnCM6XwGCIIgiKhy6tQpdOjQAffddx/mz58f7+YQSQRdOwRBRBNyHyIIgogBx44dwy+//IKnn34aPM/j97//fbybRCQJdO0QBBELKNCYIAgiBvz73//GkCFD8MMPP+C1115DmzZt4t0kIkmga4cgiFhA7kMEQRAEQRAE0cwhpYAgCIIgCIIgmjlkFBAEQRAEQRBEM4eMAoIgCIIgCIJo5lD2ISjV/U6cOIGsrCwq5EEQBEEQBEE0CRhjqK6uRnFxMXjevxZARgGAEydOoF27dvFuBkEQBEEQBEFEnKNHj3pVc/eEjAIoJdUB5YRlZ2fHfP9OpxMrV67EyJEjYbVaY75/Ir5Q/zdvqP+bN9T/zRvq/+ZNLPq/qqoK7dq108a6/iCjANBchrKzs+NmFKSnpyM7O5seCs0Q6v/mDfV/84b6v3lD/d+8iWX/B+MeT4HGBEEQBEEQBNHMIaOAIAiCIAiCIJo5ZBQQBEEQBEEQRDOHYgqChDEGURQhSVLEt+10OmGxWNDQ0BCV7Td3rFYrBEGIdzMIgiAIgiASFjIKgsDhcKC0tBR1dXVR2T5jDIWFhTh69CjVSYgCHMehbdu2yMzMjHdTCIIgCIIgEhIyCgIgyzIOHjwIQRBQXFwMm80W8YG7LMuoqalBZmZmwMISRGgwxnD69GkcO3YMXbp0IcWAIAiCIAjCBDIKAuBwOCDLMtq1a4f09PSo7EOWZTgcDqSmppJREAVatWqFQ4cOwel0klFAEARBEARhAo1Ag4QG68kLuWQRBEEQBEH4h0a6BEEQBEEQBNHMIaOAIAiCIAiCIJo5ZBQ0YYYMGYIZM2b4/J7jOHzwwQcxa4/K2rVrwXEczp49G5HtHTp0CBzHYefOnRHZHkEQBEEQRHODjIJmTGlpKUaPHh3UupE0IAYOHIjS0lK0aNEiItsjCIIgCIIgGgdlH2rGFBYWxnyfTqcTNpstLvsmCIIgCIIgzCGlIEQYY3A4HHH5xxgLub2yLONPf/oT8vLyUFhYiNmzZ2vf6Wf/HQ4Hpk2bhqKiIqSmpqJjx46YO3cuAKBjx44AgOuvvx4cx2mfAeCll15C586dYbPZ0K1bN/zvf/8z7J/jOCxevBjXXnstMjIy8Pjjj5u6D33zzTcYPHgw0tPTkZubi1GjRqGyshIAsGLFClx++eXIyclBfn4+xo0bhwMHDoR8LgjCE0mWsPX4Vhw9dzTeTSEIgiCIuEJKQYg4nU48+eSTEd0mYwx2ux0pKSl+02f+5S9/gc1mC2nby5Ytw8yZM7F582Zs3LgRd955JwYNGoQRI0YY1vv73/+Ojz76CG+//Tbat2+Po0eP4uhRZaC0detWFBQUYOnSpbj66qu1XP/vv/8+fv/732PBggUYPnw4Pv74Y/z2t79F27ZtMXToUG3bjz76KObOnYvnn38egiDg4MGDhn3v3LkTw4YNw6RJk/D3v/8dFosFX375JSRJAgDU1tZi5syZ6NWrF2pra/HII4/g+uuvx86dOylVLNEoKhsqUVZThjpnHdq1aBfv5hAEQRBE3CCjoInTu3dvPProowCALl26YNGiRVizZo2XUXDkyBF06dIFl19+OTiOQ4cOHbTvWrVqBQDIyckxuP0888wzuPPOOzF16lQAwMyZM7Fp0yY888wzBqPg9ttvx6RJk7TPnkbB/Pnz0b9/f7z44ovasp49e2p/33DDDYb1lyxZgoKCAvz4448oKSkJ7YQQhA6ZyQAAiUlxbglBEARBxBcyCkLEarXiL3/5S0S3KcsyqqqqkJ2d7Xfm22q1hrzt3r17Gz4XFRXh1KlTXuvdeeedGDFiBLp164arr74a48aNw8iRI/1ue8+ePbj77rsNywYNGoQXXnjBsKx///5+t7Nz507cdNNNPr8/cOAAHn74YWzatAlnzpyBLCsDuSNHjpBRQDQK1ShQ/ycIgiCI5goZBSHCcVzILjyBkGUZNpsNNpst4u4wnoYEx3HaoFrPhRdeiIMHD+Kzzz7D6tWrcfPNN2P48OF45513/G7f092JMea1LCMjw+820tLS/H5/zTXXoF27dvjXv/6F4uJiyLKMkpISOBwOv78jiECocTrhxOsQBEEQRFMirg7Z69atwzXXXIPi4uKAKS+nTJkCjuOwYMECw3K73Y777rsPLVu2REZGBsaPH49jx45Ft+FNlOzsbNxyyy3417/+hbfeegvvvvsuKioqACjGherjr9KjRw+sX7/esGzDhg3o0aNHSPvt3bs31qxZY/pdeXk59uzZg7/+9a8YNmwYevTooQUgE0SwnDgBfPUVUFNjXE5KAUEQBEEoxNUoqK2tRZ8+fbBo0SK/633wwQfYvHkziouLvb6bMWMG3n//fbz55ptYv349ampqMG7cOK8BLOGf559/Hm+++SZ++ukn7Nu3D//3f/+HwsJC5OTkAFAyEK1ZswZlZWXaoPyPf/wjXnnlFSxevBg///wznnvuObz33nv4wx/+ENK+Z82aha1bt2Lq1KnYvXs3fvrpJ7z00ks4c+YMcnNzkZ+fj3/+85/Yv38/vvjiC8ycOTPSh080cU6cAKqqgNOnjcsZFIWAjAKCIAiiuRNXo2D06NF4/PHHMWHCBJ/rHD9+HNOmTcNrr73m5Qpz7tw5LFmyBM8++yyGDx+Ofv364dVXX8V3332H1atXR7v5TYrMzEzMmzcP/fv3x8UXX4xDhw7h008/1dyZnn32WaxatQrt2rVDv379AADXXXcdXnjhBTz99NPo2bMnXn75ZSxduhRDhgwJad9du3bFypUrsWvXLlxyySW47LLL8OGHH8JisYDnebz55pvYtm0bSkpKcP/99+Ppp5+O9OETTRx1jsDTS4iUAoIgCIJQSOiYAlmW8Zvf/AZ//OMfDdloVLZt2wan02kIiC0uLkZJSQk2bNiAUaNGmW7XbrfDbrdrn6uqqgAo6UadTqdhXafTCcYYZFk29cWPBHq/5kju44svvgAAwzbfe+89bZmqpsiyjMmTJ2Py5Mle21B/O3bsWIwdO9Zr+ZQpUzBlyhTT3wAw7EPlyiuv9Fp+xRVX4Ouvvzbd/1VXXYXvv//esFz/+/bt25vuR78NxhicTqeWTjWRUK85z2uPiBwOBwdRBOx2Bv1pdjgdECURQPzOP/V/84b6v3lD/d+8iUX/h7LthDYK5s2bB4vFgunTp5t+X1ZWBpvNhtzcXMPy1q1bo6yszOd2586dizlz5ngtX7lyJdLT0w3LLBYLCgsLUVNTE/XA1urq6qhuv7nicDhQX1+PdevWQRTFeDfHJ6tWrYp3E5ose/bkobrairKyGuzbV6stP2k/icMNh5UP+wCei594Sv3fvKH+b95Q/zdvotn/dXV1Qa+bsEbBtm3b8MILL2D79u1+C3qZYZYBR8+sWbMMfulVVVVo164dRo4ciezsbMO6DQ0NOHr0KDIzM5GamhraQYTQ3urqamRlZYV8rERgGhoakJaWhiuvvDJqfdgYnE4nVq1ahREjRoSVdpYITFYWh3PngC5dGLp1cy//pfIX/HjmRwDA6M6jIfCxV5Ko/5s31P/NG+r/5k0s+l/1hgmGhDUKvv76a5w6dQrt27fXlkmShAceeAALFizAoUOHUFhYCIfDgcrKSoNacOrUKQwcONDntlNSUpCSkuK13Gq1enWKJEngOA48z0eteq7q8qLuh4gsPM+D4zjT/k0kEr19yQzPAxaL8k9/igWLAItg0f62CvE7/9T/zRvq/+YN9X/zJpr9H8p2E3YE+pvf/Aa7d+/Gzp07tX/FxcX44x//iM8//xwAcNFFF8FqtRpkl9LSUnz//fd+jQKCIJoXaqiJZ8iJvj4BBRsTBEEQzZm4KgU1NTXYv3+/9vngwYPYuXMn8vLy0L59e+Tn5xvWt1qtKCwsRDeX/t+iRQtMnjwZDzzwAPLz85GXl4c//OEP6NWrF4YPHx7TYyEIInEJlH3I82+CIAiCaG7E1Sj49ttvMXToUO2z6uc/ceJEvPLKK0Ft4/nnn4fFYsHNN9+M+vp6DBs2DK+88kpCZpkhCCI+qAqBp1Gg1ikAyCggCIIgmjdxNQqGDBlikO8DcejQIa9lqampWLhwIRYuXBjBlhEE0ZQg9yGCIAiC8E/CxhQQBEFECl9KAbkPEQRBEIQCGQUEQTRpGPOjFJD7EEEQBEEAIKOAIIgmjt4Q8KcU6A0EgiAIgmhukFFAhMwPP/yAG264AR07dgTHcViwYIHXOnPnzsXFF1+MrKwsFBQU4LrrrsPevXu91tuzZw/Gjx+PFi1aICsrCwMGDMCRI0dicBREc0FvFFBMAUEQBEGYQ0YBETJ1dXU477zz8NRTT6GwsNB0na+++gr33nsvNm3ahFWrVkEURYwcORK1tbXaOgcOHMDll1+O7t27Y+3atdi1axcefvjhhKw6TCQvwSoFZBQQBEEQzRkyCsJAkqW4/AuVd955B7169UJaWhry8/MxfPhw1NbWYu3atbjkkkuQkZGBnJwcDBo0CIcPHwYAzJ49G3379sXLL7+Mdu3aIT09HTfddBPOnj2rbffiiy/G008/jVtvvdW0MjQArFixAnfeeSd69uyJPn36YOnSpThy5Ai2bdumrfPQQw9hzJgxmD9/Pvr164fzzjsPY8eORUFBQcjHShC+kHS3DsUUEARBEIQ5cU1JmoxIsoRPf/40otuUmYy6ujqkp6eD53zbaWO6jIHAB1d/obS0FLfddhvmz5+P66+/HtXV1fj666/BGMN1112Hu+66C2+88QYcDge2bNkCjuO03+7fvx9vv/02li9fjqqqKkyePBn33nsvXnvttbCP8dy5cwCAvLw85ZhlGZ988gn+9Kc/YdSoUdixYwc6deqEWbNm4brrrgt7PwThCSkFBEFECpnJ2FG6A60zW6Ntdtt4N4cgIgoZBU2U0tJSiKKICRMmoEOHDgCAXr16oaKiAufOncO4cePQuXNnAECPHj0Mv21oaMCyZcvQtq3ywFu4cCHGjh2LZ5991qe7kD8YY5g5cyYuv/xylJSUAABOnTqFmpoaPPXUU3j88ccxb948rFixAhMmTMCXX36JwYMHN+bwCULDn1FAMQUEQYRCRX0FTlSfQLWjmowCoslBRkGICLyAMV3GRHSbsiyjqqoK2dnZ4HnfSkGwKgEA9OnTB8OGDUOvXr0watQojBw5EjfeeCPy8vJw5513YtSoURgxYgSGDx+Om2++GUVFRdpv27dvrxkEAHDZZZdBlmXs3bs3LKNg2rRp2L17N9avX68tk10jtWuvvRb3338/AKBv377YsGEDFi9eTEYBETH8uQ+RUkAQRCioz4lwXHoJItGhmIIwEHghLv9CaqMgYNWqVfjss89wwQUXYOHChejWrRsOHjyIpUuXYuPGjRg4cCDeeustdO3aFZs2bfK5LdW1SO9iFCz33XcfPvroI3z55ZcGQ6Nly5awWCy44IILDOv36NGDsg8REcWvUqCLKQilujpBEM0T1SigSQSiKUJGQROG4zgMGjQIc+bMwY4dO2Cz2fD+++8DAPr164dZs2Zhw4YNKCkpweuvv6797siRIzhx4oT2eePGjeB5Hl27dg1634wxTJs2De+99x6++OILdOrUyfC9zWbDxRdf7JWmdN++fZq7E0FEAn8pSfUvdonRzB9BEP4ho4BoypD7UBNl8+bNWLNmDUaOHImCggJs3rwZp0+fRlpaGmbNmoXx48ejuLgYe/fuxb59+3DHHXdov01NTcXEiRPxzDPPoKqqCtOnT8fNN9+suQ45HA78+OOP2t/Hjx/Hzp07kZmZifPPPx8AcO+99+L111/Hhx9+iKysLJSVlQEAWrRogbS0NADAH//4R9xyyy248sorMXToUKxYsQLLly/H2rVrY3imiKaO3n3IX0wBKQUEQQRCfU6QUUA0RcgoaKJkZ2dj3bp1WLBgAaqqqtChQwc8++yzmDBhAn73u99h2bJlKC8vR1FREaZNm4YpU6Zovz3//PMxYcIEjBkzBhUVFRgzZgxefPFF7fsTJ06gX79+2udnnnkGzzzzDAYPHqwN6F966SUAwJAhQwztWrp0Ke68804AwPXXX4/Fixdj7ty5mD59Orp164Z3330Xl19+eXROCtEs8Vu8jFKSEgQRAqQUEE0ZMgqaKD169MCKFStMv1NdiPxxzz334J577jH9rmPHjgFnVYOddZ00aRImTZoU1LoEEQ6UkpQgiEhBRgHRlKGYAoIgmjR+lQJKSUoQRAjonxPkckg0NcgoIAiiSeMvpoCUAoIgQoFcDommDBkFhIHZs2dj586d8W4GQUSMYFOS0gueIIhA0ERCjKgvA0pXAvbyeLekWUFGAUEQTZpgU5LSC54giEDQMyNGNJwCJDvQcDreLWlWkFFAEESTJuiUpCD/YIIg/ENGQaxwnVuqHxNTyCggCKJJQ0oBQRCRgpITxAj1PDMxvu1oZpBRQBBEk4ZiCgiCiBQ0kRArSCmIB2QUEATRpKHsQwRBRAp6ZsQIRkZBPCCjgCCIJo2Xy5BBOSClgCCI4CGjIEZo7kNkFMQSMgoIgmjSeBcs031HL3iCIEKAXA5jBSkF8YCMAiJk/vWvf+GKK65Abm4ucnNzMXz4cGzZssXn+nPnzgXHcZgxY4Zh+Z133gmO4wz/BgwYEOXWE80NX0qBZzVSesETBBEImkiIEerzWaZA41hCRgERMmvXrsVtt92GL7/8Ehs3bkT79u0xcuRIHD9+3GvdrVu34p///Cd69+5tuq2rr74apaWl2r9PP/002s0nmhmSx0STpkqDjAKCIEKDjIJYQUpBPCCjIAwkKT7/QuWdd95Br169kJaWhvz8fAwfPhy1tbVYu3YtLrnkEmRkZCAnJweDBg3C4cOHASgVjfv27YuXX34Z7dq1Q3p6Om666SacPXtW2+5rr72GqVOnom/fvujevTv+9a9/QZZlrFmzxrD/mpoa/OpXv8K//vUv5ObmmrYxJSUFhYWF2r+8vLzQD5Qg/OBLKfB8oXsqBwRBEJ5QHFKMoJiCuGCJdwOSDUkCIj2ZLctAXZ0F6ekA78dMGzMGEITgtllaWorbbrsN8+fPx/XXX4/q6mp8/fXXYIzhuuuuw1133YU33ngDDocDW7ZsAcdx2m/379+Pt99+G8uXL0dVVRUmT56Me++9F6+99prpvurq6uB0Or0G9Pfeey/Gjh2L4cOH4/HHHzf97dq1a1FQUICcnBwMHjwYTzzxBAoKCoI7SIIIAl8xBeQ+RBBEqJBSECtIKYgHZBQ0UUpLSyGKIiZMmIAOHToAAHr16oWKigqcO3cO48aNQ+fOnQEAPXr0MPy2oaEBy5YtQ9u2bQEACxcuxNixY/Hss8+isLDQa18PPvgg2rRpg+HDh2vL3nzzTWzfvh1bt2712cbRo0fjpptuQocOHXDw4EE8/PDDuOqqq7Bt2zakpKQ0+hwQBOCtsvlSCugFTxBEIMgoiBGUkjQukFEQIoKgzNhHElkGqqpEZGf7VwqCVQkAoE+fPhg2bBh69eqFUaNGYeTIkbjxxhuRl5eHO++8E6NGjcKIESMwfPhw3HzzzSgqKtJ+2759e80gAIDLLrsMsixj7969XkbB/Pnz8cYbb2Dt2rVITU0FABw9ehS///3vsXLlSm2ZGbfccov2d0lJCfr3748OHTrgk08+wYQJE4I/WILwg0+lgGIKCIIIETIKYoX6oJaVfxx5u8cCOsthIAjx+RdaGwWsWrUKn332GS644AIsXLgQ3bp1w8GDB7F06VJs3LgRAwcOxFtvvYWuXbti06ZNPreluhbpXYwA4JlnnsGTTz6JlStXGgKJt23bhlOnTuGiiy6CxWKBxWLBV199hb///e+wWCyQfARIFBUVoUOHDvj5559DO1iC8IMvo4CUAoIgQoVSksYI/bkltSBmkFHQhOE4DoMGDcKcOXOwY8cO2Gw2vP/++wCAfv36YdasWdiwYQNKSkrw+uuva787cuQITpw4oX3euHEjeJ5H165dtWVPP/00/va3v2HFihXo37+/Yb/Dhg3Dd999h507d2r/+vfvj1/96lfYuXMnBB8WTnl5OY4ePWpQLQiisVBKUoIgIgUpBTGCjIK4QO5DTZTNmzdjzZo1GDlyJAoKCrB582acPn0aaWlpmDVrFsaPH4/i4mLs3bsX+/btwx133KH9NjU1FRMnTsQzzzyDqqoqTJ8+HTfffLPmOjR//nw8/PDDeP3119GxY0eUlZUBADIzM5GZmYmsrCyUlJQY2pORkYH8/HxteU1NDWbPno0bbrgBRUVFOHToEP7yl7+gZcuWuP7662N0lojmAKUkJQgiUpBRECt0z2cyCmIGGQVNlOzsbKxbtw4LFixAVVUVOnTogGeffRYTJkzA7373Oyxbtgzl5eUoKirCtGnTMGXKFO23559/PiZMmIAxY8agoqICY8aMwYsvvqh9/+KLL8LhcODGG2807PPRRx/F7Nmzg2qfIAj47rvv8N///hdnz55FUVERhg4dirfeegtZWVkROQcEAbiVAY5TDAKfKUlBKUkJgvAPGQUxgpSCuEBGQROlR48eWLFihel3qguRP+655x7cc889pt8dOnQo5PasXbvW8DktLQ2ff/55yNshiFBRjQCLBXA6vVOSCrwASZbAGANjzCt2hiAIQkXvdkgTCdFEd26pqnHMoJgCgiCaLIy5jQA1lMVTKRA4d4wLzfwRBOEP/TNCkmkGO2qQUhAXyCggCKLJoo8nsLh0Uc+YAgvvFkzJKCAIwh/6ZwQpBdGEYgriARkFhIHZs2dj586d8W4GQUQEfeYh1SjwUgp4UgoIgggOvSFASkGU0Eu8ABkFMSSuRsG6detwzTXXoLi4GBzH4YMPPtC+czqd+POf/4xevXohIyMDxcXFuOOOOwypMgHAbrfjvvvuQ8uWLZGRkYHx48fj2LFjMT4SgiASEdUA4Hl3YUDPmAIOHHhXYRya+SMIwh+kFMQCj/NKRkHMiKtRUFtbiz59+mDRokVe39XV1WH79u14+OGHsX37drz33nvYt28fxo8fb1hvxowZeP/99/Hmm29i/fr1qKmpwbhx43wWyCIIovmgPgZ4Xsk+BHgXL+M5XjMKaOaPIAh/UPahGOB5XhkFGseKuGYfGj16NEaPHm36XYsWLbBq1SrDsoULF+KSSy7BkSNH0L59e5w7dw5LlizB//73PwwfPhwA8Oqrr6Jdu3ZYvXo1Ro0aFfVjIAgicTFTCrTiZa7ZKI7jtIxDNPNHEIQv1AxlKglnFDirAMdZIKN9vFvSODzPK03WxIykSkl67tw5cByHnJwcAMC2bdvgdDoxcuRIbZ3i4mKUlJRgw4YNPo0Cu90Ou92ufa6qqgKguCw5nU7Duk6nE4wxyLIM2bM0aoRQHzLqfojIIssyGGNwOp0+qynHE/Wa87z2iMZjtwOiyMFiUVQDUQQcDganE7A77BAlEbIkQ5ZkiJIIu8OOFC4lpm2k/m/eUP8nDzJTnhMqDqej0f0Wyf7nzmwHHJVgSANsOY3eXtyQHOB055k5G5R80k2QWNz/oWw7aYyChoYGPPjgg7j99tuRnZ0NACgrK4PNZkNubq5h3datW2tVds2YO3cu5syZ47V85cqVSE9PNyyzWCwoLCxETU0NHA5HBI7EN9XV1VHdfnPF4XCgvr4e69atgygmrgzpqYwRjae62oo9e/KQmiohLU1EZWUKzpypQkFBPcod5ThQfwDZlmzYZTvssh11e+qQacmMS1up/5s31P+Jj8QkbKvapn1uYWmB0xmnI7LtSPR/S2k3BNaASqEKDi6n8Y2KEzyzo5W0S/tcxx9DNf9LHFsUfaJ5/9fV1QW9blIYBU6nE7feeitkWTZU1vVFoAJEs2bNwsyZM7XPVVVVaNeuHUaOHKkZHCoNDQ04evQoMjMzkZqaGv5BBGhvdXU1srKyqHBSFGhoaEBaWhquvPLKqPVhY3A6nVi1ahVGjBgBq9Ua7+Y0Kc6cATIyOGRlAZmZQGkpUFLC0LEjcLTqKHJP5qIgvQC1zlrUOmsxsO1A5KXlxbSN1P/NG+r/5MEhOcD94n5H56fl47K2lzVqm5Hsf+5kCiDVg+X1B1ILG7WtuCLWgjvlPhcsvR2Q0yeODYoesbj/VW+YYEh4o8DpdOLmm2/GwYMH8cUXXxgG7YWFhXA4HKisrDSoBadOncLAgQN9bjMlJQUpKd4uAlar1atTJEkCx3HgeR48H524bNVlSN0PEVl4ngfHcab9m0gkevuSEUFQUpHabIDVqvwtCOrfFlgEC6xWK2ywwS7bIViEuPUB9X/zhvo/8ZE4CRbBPWziBT5ifRaR/hd4ABblQZfU15IF0J1nCHySH09gonn/h7LdhB6BqgbBzz//jNWrVyM/P9/w/UUXXQSr1WqQXUpLS/H999/7NQqIxvHee++hf//+yMnJQUZGBvr27Yv//e9/hnU6duyoBXDq/917773aOowxzJ49G8XFxUhLS8OQIUPwww8/xPpwiCaMGqIjCN4pSdUgQX1K0oQLHCQIImHQBxkDCfi8UNuTaO0KGc/sQxRoHCviqhTU1NRg//792ueDBw9i586dyMvLQ3FxMW688UZs374dH3/8MSRJ0uIE8vLyYLPZ0KJFC0yePBkPPPAA8vPzkZeXhz/84Q/o1auXlo2IiDx5eXl46KGH0L17d9hsNnz88cf47W9/i4KCAi24e+vWrYa0sN9//z1GjBiBm266SVs2f/58PPfcc3jllVfQtWtXPP744xgxYgT27t2LrKysmB8X0fQwS0mqZR9yveD1KUkT7iVPEETC4Pl8SLjnhTp4TrR2hQqjOgXxIq5Kwbfffot+/fqhX79+AICZM2eiX79+eOSRR3Ds2DF89NFHOHbsGPr27YuioiLt34YNG7RtPP/887juuutw8803Y9CgQUhPT8fy5cujm2VGliL/jwWxToi888476NWrF9LS0pCfn4/hw4ejtrYWa9euxSWXXIKMjAzk5ORg0KBBOHz4MAClonHfvn3x8ssvo127dkhPT8dNN92Es2fPatsdMmQIrr/+evTo0QOdO3fG73//e/Tu3Rvr16/X1mnVqhUKCwu1fx9//DE6d+6MwYMHA1AGZAsWLMBDDz2ECRMmoKSkBMuWLUNdXR1ef/31xvUPQbjwW7xMn5IUrpSkni8jgiAIF4lvFKjtSfbnGCkF8SKuSsGQIUP8voSDeUGnpqZi4cKFWLhwYSSb5htZAk58GtltMhmWujqgJh3g/NhpxWMAPjhjp7S0FLfddhvmz5+P66+/HtXV1fj666/BGMN1112Hu+66C2+88QYcDge2bNliCHDev38/3n77bSxfvhxVVVWYPHky7r33Xrz22mveTWcMX3zxBfbu3Yt58+aZtsXhcODVV1/FzJkztf0cPHgQZWVlhnSyKSkpGDx4MDZs2IApU6YEdZwE4Q+9UeCveJnguq8S7iVPEETC4FnHJKGeF/q2JFK7wsFz7CcnbtbApkbCBxoT4VFaWgpRFDFhwgR06NABANCrVy9UVFTg3LlzGDduHDp37gwA6NGjh+G3DQ0NWLZsGdq2bQtAKRo3duxYPPvssygsVDIanDt3Dm3atIHdbocgCHjxxRcxYsQI07Z88MEHOHv2LO68805tmeoK1rp1a8O6rVu31lQLgmgsqvuQPqbA032Ig1spSKiXPEEQCUVCKwWGtiRQu8LBq6IxKQWxgoyCUOEFZcY+ksgyxOoqICvbPXLxte8g6dOnD4YNG4ZevXph1KhRGDlyJG688Ubk5eXhzjvvxKhRozBixAgMHz4cN998M4qKirTftm/fXjMIAOCyyy6DLMvYu3evZhRkZWVh586dqKmpwZo1azBz5kycd955GDJkiFdblixZgtGjR6O4uNjrO88UrIHSyRJEKASrFFBMAUEQgUgaoyCR2hUWZBTEi4TOPpSw8ELk/3FBrBMCgiBg1apV+Oyzz3DBBRdg4cKF6NatGw4ePIilS5di48aNGDhwIN566y107doVmzZt8rktdZCuH6zzPI/zzz8fffv2xQMPPIAbb7wRc+fO9frt4cOHsXr1avy///f/DMtV48KzyNypU6e81AOCCBezmAJNKQAFGhMEETz6iQT958RAbxQkeUyB2n7eNW9NRkHMIKOgCcNxHAYNGoQ5c+Zgx44dsNlseP/99wEA/fr1w6xZs7BhwwaUlJQYgnuPHDmCEydOaJ83btwInufRtWtXn/tijMFut3stX7p0KQoKCjB27FjD8k6dOqGwsNCQTtbhcOCrr76idLJExNCnJPWlFHAcpSQlCCIwqsuhxTVYTajnRVNyH1Lbz7vy65NREDPIfaiJsnnzZqxZswYjR45EQUEBNm/ejNOnTyMtLQ2zZs3C+PHjUVxcjL1792Lfvn244447tN+mpqZi4sSJeOaZZ1BVVYXp06fj5ptv1mb3586di/79+6Nz585wOBz49NNP8d///hcvvfSSoQ2yLGPp0qWYOHEiLBbjpcZxHGbMmIEnn3wSXbp0QZcuXfDkk08iPT0dt99+e/RPENEs0Kck9RdTQEYBQRCBUJ8PFt4Ch+QAYyxxXF6bkvuQ2n7OCqBe+cyYe2aHiBpkFDRRsrOzsW7dOixYsABVVVXo0KEDnn32WUyYMAG/+93vsGzZMpSXl6OoqAjTpk0zZPs5//zzMWHCBIwZMwYVFRUYM2YMXnzxRe372tpaTJ06FceOHUNaWhq6d++OV199FbfccouhDatXr8aRI0cwadIk0zb+6U9/Qn19PaZOnYrKykpceumlWLlyJdUoICIGxRQQBBEp9EaBCgPTEhXElyZkFKhZnnhdJV4muowEIpqQUdBE6dGjB1asWGH6nepC5I977rkH99xzj+l3jz/+OB5//PGA2xg5cqTftLIcx2H27NmYPXt2wG0RRDiYGQWeMQV69yHPlIMEQRAqqlEg6GL8JFkCLySAJ7bBxSbJn2OaUqAbojIJABkF0SYBrmSCIIjoYJaS1EwpUOV/UgoIgvCFOmngqRQkBE3JfUg9pxxHwcYxhowCgiCaLP7chyimgCCIUEjoiYSmFGisKQW8kpkRSG6jQKwDag8DDafi3ZKAkFFAGJg9ezZ27twZ72YQRETwl5KUYgoIggiFhH5mNEWlAE3EKHCcBSp3A9X7492SgJBRQBBEk8VfSlKzmIKEecETBJFwJLRR0JQCjTWlgHMbBbIYv/Y0FuZqO5f4YbxkFASJv4BZIrGhvmu+BJOSNDFf8ASRmNjtwNq1wC+/xLslsSehXQ4N7Ujyd552LLx7IJ3MSoFqFPBkFCQ9VqsS7V5XVxfnlhDh4nA4AChVnonmRTApSRPyBU8QCUplJVBdDRw/Hu+WxJ6EVgqaovtQU4kpUFUOLvHHIIlvtsQZQRCQk5ODU6eUAJH09PSIFyqRZRkOhwMNDQ3gebLTIoksyzh9+jTS09O9CqgRTR+9+5A7wNj1P9xKgfq3QVVyVgHOaiC9TayaSxAJj6q+yck+7gyDhDYKmqL7ELimYRSobU8C96HEb2ECoFbyVQ2DSMMYQ319PdLS0hKjMmITg+d5tG/fns5tM0TvPuRZp0BTCjgOvEs0lfQvnsqdgOMcYM0GrFRQjyAA3f2T5OPOcNBPJCScUWAYNCdIm8JFn32IbwpGQfK4DyV+CxMAjuNQVFSEgoICOJ3OiG/f6XRi3bp1uPLKKzV3JSJy2Gw2UmCaKX6Ll+liCtS/DUqBrLidQbKTUUAQLpqzUWCYSEg4o0CvFCR5TIEWE9FEAo3l5Ak0TvwWJhCCIETFL10QBIiiiNTUVDIKCCKC6N2HfBUv8xlToP2dIC99gkgAyChIVKWgqdYpoEDjWJL4LSQIgggTv0qBPiUp/BgFifLSJ4gEgIyCJDAKEqVNYWOiFCS1UaDGFFCgMUEQRNwwS0nqqRToA43JKCAI/zRnoyChU5I2xUBjjgfQBIwCch8iCIKIP/5Skupf8GoQumwmwSfzy4ggIkxzNgqSRilI9joF0BsFLlgSxxRQ8TKCIIj4oh+06GMKPLMPmb7gGdMF6yXIS7+JIopNIC6yGSHrbpHmRtIYBYnSpnBhTc19SI0pSHz3ITIKCIJokki6d4ipUqCPKfAyCprQCzaBcTqBVauAzZvj3RIiWGQzu7mZkNhGge6BlyhtChdDStImEGgsJ0+dAjIKCIJokuiVgkAxBar7EIOJOpDsL9gEpr5eUQrKy5vfADNZ0Rvbzc2FKKGNAjRR96GmpBSQUUAQBBEf9PEEgO86BRw4CK4Xj7lSkMQvoyRBlhUDgQgCWQQqdwMNZ+Kze9n87+aAX3Ux3jQldbMpuQ8x2d0fSZCSlIwCgiCaJPoaBYBv9yG9UkDuQ/GjtjbeLUgS7KeB2sNA9b647L45GwUJrRQ0pToFZkpBshYv0xszSZCSlIwCgiCaJPp0pPr/PQONzWf9mtILNjmoq4t3C5IEdXCkVtyO9e7JKEh8oyDZAz4MSkGSxxRo6Uh5YzalBCXxW0gQBBEGvtyHAPWd6VYK1Bc8Y0xZTkpBzCGlIFhUq9YZn72TUZCYRoHX5EUSGwVNKaYgieIJADIKCIJoongaBbzuaceYTinQFSICXG5FFFMQc8goCBL1eoxT3vbmbBQkdPEyz3YkSrvCoUnFFCRPOlKAjAKCIJooqvuQZ0yB8p17Fk0/6weoL3lSCmINuQ8FiXo9yvEp8CB7eKk0JxJaKfBqRzJ3jplSICfnBZdE6UgBMgoIgmii+HMfknQjG47jwMH9pazPFqEsiWIrCRVSCoLEkI8+9mqB3iiQknTyNlwS2yjw6IxEaVc4MBOjAEhOtYDchwiCIOKPP/chSXbPOHHgFMNAn4GIYgpijiQBdnu8W5EE6K/HOMQV6A2BZJy4bQwJbRR4Tl4kTLvCQec+xDcRoyAJ0pECZBQQBNFE8UxJCuhrFRjdh/T/exsFSfgiSlJILQgCUgrihlmdApYolpGXEZDERoFeKQB0LkRJmJZUvV+TIB0pQEYBQRBNFM+UpPq/RcnoPgR4GAUUUxAXKK4gCPRGQRyUAoopMCoFUqJMGjSpQGO17arMm8RpSWVyHyIIgog7nu5DgE4p0KUjVfGtFCTxyzXJIKUgCAzuQ/FVCppb9iG9UaDGISWuUpAg7QoLV9vVB3YyZyAi9yGCIIj44899SFUKOF30MbkPxR8yCoLA4D4UX6WguRkF+tomgsvXPeFiCrTS7YnSrjDwVAq0qsZJ+CwmpYAgCCL++HMfUmMKfCoFVNE4LpD7UBDEOdC4qRkFZ84AFRXBrauvbaIqBQlhFOgrGGsVgBOgXWHjSylIxpgC1SigmAKCIIi44c99SE1Jqk9FanAHIPehuEBKQRAYYgrIfagxSBKweTOwaVPgY9EP/hMu+5C+DXySGwV6A0dTCpI4pkBtM7kPEQRBxA8zo0D9W01JGpz7UJK+XJMIi+t96XAAzthPficZ+muTlILGIMvKP0kCamr8r6uPHUg4o0B/TWhuKskaU6Brt1f2oSQ0Csh9KHjWrVuHa665BsXFxeA4Dh988IHhe8YYZs+ejeLiYqSlpWHIkCH44YcfDOvY7Xbcd999aNmyJTIyMjB+/HgcO3YshkdBEEQiEkxKUgo0TgwsFiAlRfmbXIgCEEelwNMISHajQE8glUo/+NenJE0Io0DfBn0F4Fhz7iegdBUgNYS/DUO7XQ9sPomNgqZevOzo0aOGQfeWLVswY8YM/POf/wx557W1tejTpw8WLVpk+v38+fPx3HPPYdGiRdi6dSsKCwsxYsQIVFdXa+vMmDED77//Pt58802sX78eNTU1GDduHKTmlkCZIAgD/mIKJMmlFMCHUmCYjaVnSSxIT1f+JxeiAMQx0LgpGwWBlIKkcB/iePfsejxioRrKFIPAca4RG2liSkGSxRSEbLrcfvvtuPvuu/Gb3/wGZWVlGDFiBHr27IlXX30VZWVleOSRR4Le1ujRozF69GjT7xhjWLBgAR566CFMmDABALBs2TK0bt0ar7/+OqZMmYJz585hyZIl+N///ofhw4cDAF599VW0a9cOq1evxqhRo0y3bbfbYdeVzqyqqgIAOJ1OOOOgXav7jMe+ifhD/R8d7HZAFDlIEtNcUiSJgygCDQ47REmEzMvaeZclGaIkwu60w8ns4CR1FlYCi2LfNOf+dzqVPhJFwGZjEEUO584xtGoV75bFjlD7n3M6APXadNRH9dr0xOFQ+kvFbmdJ7e7ldAInqyvAczxaV+b4PRaH6IAoieA5Hk6nE5IoQZREOOBo1L0bkftfdD2vOAsgyYAkgjntgCW2ncM57a59N4S/b8n97GWi6zqXZHCSCOaoTzr/Qu2cSMy07bF4/oey7ZCNgu+//x6XXHIJAODtt99GSUkJvvnmG6xcuRK/+93vQjIK/HHw4EGUlZVh5MiR2rKUlBQMHjwYGzZswJQpU7Bt2zY4nU7DOsXFxSgpKcGGDRt8GgVz587FnDlzvJavXLkS6ep0VRxYtWpV3PZNxB/q/8hy4EALlJen4vTpauzbp/ik/PBDHmprrThecRSl1p1I49NQ96Py3b7afTgrnkV5WjnOs9QjXS7TtnVSgNv3KEo0x/6vq7Pg++/zYbPJaNWqDsePZ+Lw4Xrs21cV76bFnGD7v5W4AzxcAwkuExVCeTSbZcDh4LFzp9tiO3GiFvv3B5hiT2DsThkrt9aAA4fSg+1RWlrpe13Zjl3VuxSFYB/QIDVgd81uCJwA8afGu3E15v63sDrkS99DhhUilw4bO4dzfAUa+JaNblcoqNdmY/bNMztaSbsA8DhpUZSCTPkoMuRS1PHHUM3/EsEWR59W0k7wzIFyoR4il+FzvWg+/+tC8MkM2ShwOp1IcTl/rl69GuPHjwcAdO/eHaWlpaFuzidlZcoLuXXr1oblrVu3xuHDh7V1bDYbcnNzvdZRf2/GrFmzMHPmTO1zVVUV2rVrh5EjRyI7OztShxA0TqcTq1atwogRI2C1WmO+fyK+UP9Hh2+/5VBWBvTqxdChg7KsRQsOlZVAxws64JBkQYuUFrii/RUAgIITBSirLUPvgt5oj3Pgag9r22JFV0dN/m3O/V9VBaSmckhNBbp3Z9i5k0N+PnDZZckaJBk6ofY/Vya4U5FaMsEKhkS3gTrq6gCLxW0cn3cewwUXxGz3EaeuwYmdJ3cBAHq2uxBjRvv2qK5x1MB62Aorb8WozqNQ76yH7ZANPMdjzPljwm5DRO5/x1lwZ1IBIRWwtgAaToLl9AbS24fdrnDgSgEwuXH7FuvAnbICnABW5PIkqd4HrnofWHp7IKd3xNobC7hSHmAiWMFQwOJtFMTi+a96wwRDyEZBz549sXjxYowdOxarVq3C3/72NwDAiRMnkJ+fH+rmAsJ5zM4xxryWeRJonZSUFM2w0WO1WuP6Uo73/on4Qv0fWXjeHcCqnlarVVnG8xZYYIHV4j7nNqsNFsECwSLAygRA0D0eLQLAR7dvmmP/q/1hsQA5Ocr/Doe7v5oTQfc/z7mDFnnE9GQJgjtTFKD8ncx9ZZXgLkIm85AkK1JTzdcVZAEWwQKbxQar1QqZk2FxPSMicd826v6XXc8rSwpgsSl/C0JsO4fJrqAtHhD4RuzbdSy8VffgTnUdU2O2GycEDmAWwJYKCL7bHs3nfyjbDTnQeN68eXj55ZcxZMgQ3HbbbejTpw8A4KOPPtLciiJBYWEhAHjN+J86dUpTDwoLC+FwOFBZWelzHYIgmidm2Ye04mXMO/uQOpHglX0ISM4AtyRD9dysr29aAawRJ47Fyzz7pSnl85CZ7DfIXQ0oVp8Z+mdH3IONEyHQ2BAA35gLQ3csKskaaCxL3kXlEpyQjYIhQ4bgzJkzOHPmDP7zn/9oy++++24sXrw4Yg3r1KkTCgsLDX5WDocDX331FQYOHAgAuOiii2C1Wg3rlJaW4vvvv9fWIQiieWKWfUgVEEXJVbzMV50CzxdqvF/6zYCUFPcsNKUl9YGZsRrDa9PTCGBNyMuLMeY3A5Fap0DNWJZQRoFhIO16psW6cwxGQSPOh9ZunbdHslY01re3qWYfmj17Nn7729+ig+qk66Jjx44h77ympgb79+/XPh88eBA7d+5EXl4e2rdvjxkzZuDJJ59Ely5d0KVLFzz55JNIT0/H7bffDgBo0aIFJk+ejAceeAD5+fnIy8vDH/7wB/Tq1UvLRkQQRPPEX/EyJgPg/dQpIKMgLqSnK3EGtbVAZma8W5OAmM2UyiIg2GKy+6acklSG7NcoSAqlADqlINZt0tfMaNS+TZQCrUpzkikFans5IeqJKiJFyErB8uXL0blzZwwbNgyvv/46GhrCL1Lx7bffol+/fujXrx8AYObMmejXr5+WwehPf/oTZsyYgalTp6J///44fvw4Vq5ciaysLG0bzz//PK677jrcfPPNGDRoENLT07F8+XIIQnJYZQRBRAczo0B9LkuuL33WKfB6qTWh0U8Ck+GKw6NaBT7QBhlcXGZPE8YokBoiPuiVWWhGAcdxRpfDeKJdF/F0H9IbBY0YvPtVCpLNKHCdEz45XIeAMIyCbdu2Yfv27ejduzfuv/9+FBUV4Z577sHWrVtD3vmQIUPAGPP698orrwBQbrrZs2ejtLQUDQ0N+Oqrr1BSUmLYRmpqKhYuXIjy8nLU1dVh+fLlaNeuXchtIQiiaeEvpkAKpaIxkHwvoyRFNQrIfcgH+hlhNfA9hnEFCWEUiLVA2WrgzOaIbjZUo0D/d/yNAv3suqoUxNh9yFBduzHuQ00ppiC5qhkDYRgFANC7d288//zzOH78OP7zn//g+PHjGDRoEHr16oUXXngB5841ppodQRBE4/EXU6AGGlNMQWJBSkEA9O4I6uxjczMKnFXKgNd+Bqg/GbHNMsZQV+c7eJrB9zODxT24Qh1I691UkjXQ2I9SICdpTEGSxBMAYRoFKrIsw+FwwG63gzGGvLw8vPTSS2jXrh3eeuutSLWRIAgiZPzFFKiBxsErBWQUxAI1A1GkjYJzDeew9fhW1DiSt9AWAI8sMy6loLm5D+kHhlU/RWxGnBOUgayva8+fUiDFewbbVCmIp/tQpJWCJI8paMruQ4DiQjRt2jQUFRXh/vvvR79+/bBnzx589dVX+Omnn/Doo49i+vTpkW4rQRBE0Ji5D6mTaNp7Rzcbpf7NGCOjIEZ4judUpaC+PrLeD0erjqKspgzHqo5FbqPxwKAUNFP3If3g01kF1J+IyGbT0pWDCcUoMDwz4kkiBBpTSlJvmoP7UO/evTFgwAAcPHgQS5YswdGjR/HUU0/h/PPP19a54447cPr06Yg2lCAIIhT8uQ+pMQV6VwCtiJGp+1CSvYySBLWPVMMtNVXpL1kGGpHDwgvR9XKW5CTvR31AqZaRJfZGgY2rBMec8VUK1EFj1d6IDIBT05Tt+oorMDMK1GdGQikFWvtinZI0UkqBv0BjObny4CZhoHHILb3pppswadIktGnTxuc6rVq1gtyUcpURBJFUMOZ+d5i5D0l+Zv0M7kO8xTUIoedZNPA0CjhOcSGqqVFmbNPSIrQflzEQ94DQxqIN/gS3+1AM/awlCbCySrRk61ErF0KWL47ZvjXUgVZ6W6C+TAk8rjsGZLRv1GbTMiTUVPk2CjzrFOj/jrtSYFqnIJ4pSaOkFKjbTpaZ9+agFDz88MN+DQKCIIh4o5+TMHMfUieMA6Yk1XxZk3wwmaCYqTnRiCtQjYG4z+g2FjOlIMbuQxZ2DoIACKw+vu5DQiqQ3UX5OwJqQWp66EpBwmUf0rsPxTUlaQRiCvTDU97DKEgW9O5+SUJY5suxY8fw0Ucf4ciRI3A4HIbvnnvuuYg0jCAIIlz0gxVTpUCWwSGIQGPeGpWc6ISCWdxHNNKSqsZA3AdvjcZEKYhxoLHA6mERAA5ynNyHXEYQZwEyOgLVB5R7tPYQkHle2JttEkaB3n0oaWMKXKqLZ7EvTnBV8E4moyD5lIKQW7pmzRqMHz8enTp1wt69e1FSUoJDhw6BMYYLL7wwGm0kCIIICXUGmuOM7xYt0JgpInvAlKTawzzZB5OJSayUAtV9qOnEFMQv0FhAHXgB4CDFN6aAtyoD4OxuQOUuoOpnIL192P7btlQRHAeIohLPkprqsduENgp0ClJTrFMA6IyCJEpLmoQxBSG7D82aNQsPPPAAvv/+e6SmpuLdd9/F0aNHMXjwYNx0003RaCNBEERImKUj1X8OOiWp5qKR5IPJBMWfUhBRo6CpKAX6AZMWaBxrpaDO1V9xUgo8Z1/T2wKWDEB2ADW/hL9dTtYMUjO1wF+dgvhfV3r3oXjVKYhUTIFJoDGgu96T6FksN4M6BXv27MHEiRMBABaLBfX19cjMzMRjjz2GefPmRbyBBEEQoeLLKNArBUAIMQWkFEQFz0BjIEruQ00m0FinFHDxUgrqIbjch+ISX+s5+6qqBQBQcwCQHOa/C4DMZGRmKn+bGaSJrRSoDzwB8atToHcfipJSACTXBI12vzZhpSAjIwN2ux0AUFxcjAMHDmjfnTlzJnItIwiCCBOzGWhAF1MgKaMZ0xe8XgZXXTTi/dJvopgZBepsrSgCrldN4/fjejknf6CxbkY4HoHGkgQeds0oiG9KUt1AK60YsGYr39UcMP9dACQmaQapmVKQFEaBIdA4ju5DEUlJ6sMoSKZ7uDm4Dw0YMADffPMNAGDs2LF44IEH8MQTT2DSpEkYMGBAxBtIEER82LULWLvWPXBLJsx81QFd9iHm7QrAmcnulH0oqpj1E8+7U5FGSi1okkoBH/tAY0j1ANT+ilNMgdlAi+OA7O7K3zW/hKUWyExGVpZrE2buQ8zPREK8r6uECDSOdEpSk0Bjz/0kOkmYkjTklj733HOocd0xs2fPRk1NDd566y2cf/75eP755yPeQIIg4kNpKeB0ApWVQMuW8W5NaARyH1KLlwVWCpLQjzWJ8KXoZGQoVY1ra4Hc3MbvR1MKksn1wAzD4C/27kMQFStNUQoYmMzAGOc1fosqvgZaaa0BSxog1gNiDSDkhbRZSQ5OKfDpchhXEqBOgaf7EGPeA/ugtmOSkhTQTdAk0T3Mki+mIGSj4Lzz3Cm/0tPT8eKLL0a0QQRBJAbqgK2mJnmNAl/uQ7LsXYhIfcEzbTaW0z3M4/3Sb5r4UnQinYGoaSoFOhWLyd4+2NHYvagoBe77SoYsC173WfQawPz7aXNWAPVhDRz1MQV1dcq1qT+uxHYfUo83jnUKPIvoMTnMwbAa8OWZJSIZ3YfUB1zyKAXRf4oQBJGU6I2CZCOQ+1BwMQVxlOKbCf6UAiAy7kP6AVvyxxToUk/qB8WxUgskt1IAxCGugJmoeHoa4XcuMQkpKYDVJcB4GqSJbRSYuQ/FOKbAy60nzHOinUtf7kNJdA83Vfeh3Nxcg++tPyoqKhrVIIIg4o8su98pyWgUBEpJahZTYFQKLK4XbBK+iJIIs0BjILJKgd5lKO6Dt0ajL17GKQNjWXQNyFKivndONQpc91HMjQJtkMWbKyONuF/VayMzU3GZrKkBsrPd3yd0SlJDxp44KAWMeU+cMAmANYxtBcg+lCzP4kCqVoISVEsXLFig/V1eXo7HH38co0aNwmWXXQYA2LhxIz7//HM8/PDDUWkkQRCxRf+ij2S++FjRmJSkBqMgXun9mgm+jIJI1irQqwNJH1Mg69yHACXYWBZjqBQo7kOcKx1+zAuYMV01YzMaoxS4zq1qFCSVUmBWpyCWbdKrBBzvdmkLb2PqhoyLtZSkSRJorL8Gk8h9KKiWqnUJAOCGG27AY489hmnTpmnLpk+fjkWLFmH16tW4//77I99KgiBiij7jkJl/baLTmJSkTNa7aJBREE18GW+qUeBwKKlJLY14pzZNpUCdqo9tWlJOVpQCjgN4TmlPXJQC3scMdCP8ztVrQ732qqvNv09IoyDedQo83dqYI/z9+1QKkizQWAsy5mIS7xMpQm7p559/jquvvtpr+ahRo7B69eqINIogiPji+aJPNrUgnJSkXoHG8Qzaayb4UgosFsBmU/5ubFyBZxxB3AdwjYGZKAVAbNI0yhI4SSkcwfM8wMWhgFmgbC6NmE1WrxM1LWlSKQVmdQpi2SZ95V5t/+EO3lUZN8ljCpIwngAIwyjIz8/H+++/77X8gw8+QH5+fkQaRRBEfPGsTZBscQWBYgrMUpKqrkQcGGTIFFMQA3wZb4A7rqDRRoGHy1BSuxB5pmuMpVIg1UNmAIMFnCUlMZWCCMQU+EpLqtYpSMiUpGaBxrEsXqavHdHYZ6bPlKRJ9iz2NOCThJBNmDlz5mDy5MlYu3atFlOwadMmrFixAv/+978j3kCCIGKP54s+WY0CzxloT3dbsxc8mKwMACimIOr46ifArRQ4GzneJaUgQkh1YAyQkA6Ol5TxpxTrmIIAs6+NcDFRjcWMDOU5IYpAQwOQmqp8n9BKQbzrFOiVgsbuv8kEGidfNWMgDKPgzjvvRI8ePfD3v/8d7733HhhjuOCCC/DNN9/g0ksvjUYbCYKIMcmuFARMSeqneBkHBpnJECgladTx5T4EuFNDNtYo8BywxX8A1wg8B0x8DAuYSfWQZUDi0sAL9YqrNItTSlJfA60IKAU8r6hUtbXKcy8pjAIz9yF1eSz82Q1ZdlSFIkqBxslS0ThJ3YfCau2ll16K1157LdJtIQgiQWgqSkEoKUk5jlM+M1lJP2iQ4pN4IJnA+HMfUo0Ch6OR+/B0H0qWmUYzPJUCzX0oBgMlsU4xCpAOjre7+ixeKUmjZxQASgYi1ShQCzcmrFGgTwdqSEnq+i4W1aYNCo6rLY11H/IqXpasgcbJZRQkT0g0QRAxw3MGN9kCjQO5D5llH1I/c2Bu9yFtkEFGQTTw5z4UKaWgebgPxUYpYAyQuHTwPO9KSdq0lAI1bkCtbKx/7iVunQJd7ICaK1YjRu3SV+5t9DPTR0XjpHMfSr5qxgAZBQRBmKC+6DMzjf61yYKvGWj1s1mdAsDDKDC4DyXJiyjJ8Oc+FLGYgqYYaBwP9yFNKUgDJwjg42EUyNGrUwAYC5gBxrSkiasU6I5Vn/0HiN1khiErVCOfmU2lonGgTFkJChkFBEF4oQ7WrFZ3FphkciEKVLxMkr1f8IDLSGCy4l5EgcZRJxj3oaauFNQ4auCQg/SRiqP7EBOVNFCaUsDHo3hZ9JQCwH2tmBXPS1yjQL9v1wMu1hmI9G5djY7DChBonCxGfZLGFJBRQBCEF/pBtTprloxGga/iZer3HOdDKdBSkpJREC30g8moug/JiWsUNIgNWHdkHX6q/Snwyvp2eyoF0XYfkiXIolKjQIkp4F0GdrxiCiKfkhTwVgrUwo2AOyVpwhoFBtehGGcg0s+KNzolaRMJNE7S7EMhGwWrVq1CXWMTRxMEkdDoZ3CT2SgIVLzMLKbAkJI0HlJ8M0Gf4cqfUdDoQGOPwUkiBRqfrj0Nmcmwy/bAK3u6iQCxUwpc8QQMFjDOCp7nodQvazoxBYDbgExJcV9/qlqgDvwTr06Bycx6rCczDDEF0VIK1EBjGbGtmBcmcjNxH7rhhhuQm5uLgQMHYtasWfj8889Rk0yjBYIgAqKfaU9GoyBQTIE6eewrpkB5yfPGB3oCDSabAvrBZMTch87tASq2GxYlckzBmbozAJQg1oADS39KQbRjCqR6MFc8AQDwguAKNI6x+1Aglwy+cbPJnhmIAPdzz8x9SFUaWSA3HbEWOP0N0HAqrHb5xazYV6yzphnch6KsFDRm27HEkKY1eQjZKKisrMTatWsxfvx47NixAzfddBPy8vIwYMAAPPjgg9FoI0EQMUYfAJqMRkEgpUB77fh0HyKlINr4CzIGwgw0rjkA1B0HRLeancgxBapRAARhrJhVSI1V8TKpDrKWeQgAx8enonGwSkGYhp/+WklT7B8twYKZUSC49hew7+rLAHsFUHc0rHb5xSyFpzZbH6MZdUNF48YaJL6UAv2zOBmMgmbiPiQIAi677DI8+OCDWLFiBTZs2IDbb78d27Ztw9NPPx2NNhIEEWPMYgrq672LmiUqgVKSyj4CjVX3IXegMSiuIEr4CzIG3EoBY0r2q4DIknsQpBs0JGrxshpHDRpEd0qvgG5NpoM/nUtFNBUQ0V3NWOkvV6BxrIuXBaxT0Lhc9vprQ312qMfXKKVAbU9U3LzMBtGc4TtZBsrKGu+K5xO9wdpopcCXUcAlVwai5hJovGfPHixevBi33norioqKcNVVV6GqqgrPPvsstm/fHngDBEEkPPoBm83m7V+b6ASTklSWfbsPKVqCh1FABcwiir8aBepytb+CUgv0AwXdzHmiFi87XXva8FkMNGA0VQosOvkrii5E+mrGLqVADTSOqXt3oIJQEYopAIxJCZjuIM2UgqBdv6Lh5qX5QvqOKSgtBbZuBX4KIp49vDbo+6WRkyi+3IeA5DIKzO7XJCBkE6Znz55o1aoVZsyYgYcffhg9e/aMRrsIgogjngO2rCygokJxIcrOjl+7gsWf+5D6AmfMJCUpp6YklXVKgQBAJKUgwgRyHwIUY9RuV4wC1Z3DJ3oXGt0AO1Hdh/SuQ0Ao7kMmAZjMqRxztMYfnkoB544piJl6yGT3PRjIfQhQBst8aCfETCmQJONyzyronr8zRe27qLh5mcQUeAzM6+uVj1HLEaPPPsQ3duDuQykAlG3LiNJ5jDDNpaLx9OnT0aZNG8yePRuTJk3Cn//8Z3z22WcUbEwQTQjPAZuatzuhb3PGgDObgPJv/aYkVWf9mMwFjikAqIBZlAjkPgSEGGysHyjo+kodbFsFq+FzPGGMoby+HIBbrQqsFKiDJc+LWnWZiYVSkK7cU5y7onHMlAL9+QmkFABhVzVW0SsFhuVhpSR1fR+Nway/mAKXW5Pqfhd19yE+EkqBmZHjQsu2Ff97OCDNJaZgwYIF2L59O06ePIm//vWvkCQJjzzyCFq2bIkBAwZEo40EQcQYz5n2pAg2lhqAhtNAfSkkUXlpmCkFmlFgohQYKhpr31FMQTQI5D4EhGoU+HAfci23uoJyE0EpOGc/B6fkhFWwIsuWBSCYmAJfSoGagShKs6dMBqQGLfuQFmgc65SkqtHDCbp8/B5wXKOMeH0f6JUCfcyAWUpSxpjBxci77ar7UIyNAtd3qgEeNaPANPtQuBeGWm4+yd2HmktMgYosyxBFEQ6HA3a7HU6nE4cOHYpg0wiCiBees7hJYRToc727fHdNjQKoRgFnGlOguQ95xhQkwGCyKRGs+xAQ5GBG9uE+5JpVtAlKOqNEMApU16H8tHxYXDOJgWMdfCkF0UlLWuesw6GzhyCLta69W8A4mzvQONbZh7TZaB+Fy1QaMXAMpBRwnFFd1E8q+L2utEBjZxQyApldF8biZapS0NhCgD7Ru8o0RlllTHd+zJSCJDIKkjSmIGSj4Pe//z369OmDgoICTJkyBSdOnMDdd9+NXbt2oaysLBptJAgixnjO4qpGQUIHGssOr7/NBpz6YGOf7kNm2Yco0DiiRN59SDL9W1MKVPehBBhQqEZBy/SWmlEQVqAxoMu4E9lZ6D2n9+C7k9/h9LnDAACZc9UocMUUKEpBDOsUyDqlwB+NGDj6CjQ2yzzk+TkooyDMdvnFb50CZYCt3muiiMj3F2NG1zatf8LZkc5gSmalIJj4lwQl5NYeP34cd911F4YMGYKSkpJotIkgiDjjaRSkpyvPaFFU8nanpsavbT6R3EqBLIkAZz7gZK6XFce8BxeaUgDPQGMk/osoyQjGfSikWgWGmAJvpSBR3IdkJqO8ToknaJneEierTwIIJtDYh691lJQCu+t+cjrPAVDiCQAYsg/F1H1INZpipBQY3If8VUA3+a0X+u+YiDCGXoG3bWibUd3Up/R1OpWKzZHbv27jfGOVAv05NAs0jo4BHHGCiX9JUEJWCt555x1MmzYtJgaBKIr461//ik6dOiEtLQ3nnXceHnvsMS3HOKDcrLNnz0ZxcTHS0tIwZMgQ/PDDD1FvG0E0ZTxncXleMQyABHYhcrkPyQzgmaIUmBkFHO875Z1BKdAej+Q+FA1CcR8Kyijw5T7EjO5D8Q40rqivgMxkpFpSkZWSpQ0sg1YKPDPqRMko0LJ0uQrBmRkFiGWdgmCzuTRGKWD+lQJPd0MgyGBj/XcRjyswiykw1inQZ4iKeFyBpmCp8RyNeV42FaVAF//jK/4lQQkrpuDAgQO47777MHz4cIwYMQLTp0/HgQMHIt02zJs3D4sXL8aiRYuwZ88ezJ8/H08//TQWLlyorTN//nw899xzWLRoEbZu3YrCwkKMGDEC1dXVEW8PQTQXzFw7Ej6uwDWzyRjAQRkgmQ84lRcPZ/L48+s+REZBRImu+5B74KUO1lT3oXgrBVo8QXo+AAQfU+BLKYiS+5BqPDEtpkDnPoR4BBoHmc1Fm02OfEyBp1KgXxa8+1CEHfuDqFOgVwoibhR4BtQ2JiWp/hyapSRNGqMgOYOMgTA0rM8//xzjx49H3759MWjQIDDGsGHDBvTs2RPLly/HiBEjIta4jRs34tprr8XYsWMBAB07dsQbb7yBb7/9FoCiEixYsAAPPfQQJkyYAABYtmwZWrdujddffx1Tpkwx3a7dbofd7nY1qKqqAgA4nU44oxaJ4xt1n/HYNxF/ErH/HQ7O5X/KtAFZSgogihwqKxnatIlv+0xx1IKTRKXdYj1EXoQoMq+JGkl2QpIliKLsdc5FUYQkOeGUnHCKEuB0gpNkQBLBnPaoROolYv/HArtduZ7015gZosihrg5wOgMEaDrrwUnKy1jtK8YY7E7Xs14GREmE3WmP67kuqyqDKInIseXA6XSCScpx2R0B2uVsACeJYJJsvA5lKMsddRG9Pu1OO0RJhGivhshnoUG0QhRFyDLglCTIsnKvOBxi4L6JBI561/Ezv8fJScx1vzYAFv/nw+l0asaPKIlocDRofSDLyrVntyt9I0oiZM77mSHLsnJdOeywcTbzNokOQL02HfUAl2log/7/kBHtynlxPa9cB6Msc90HDQ2cZhjU1bHI1ppxqPedFczpBETZ9dmhfA4FyaH8luPNfyvJruNqiGLUdATQzokt4DmIxfM/lG2HbBQ8+OCDuP/++/HUU095Lf/zn/8cUaPg8ssvx+LFi7Fv3z507doVu3btwvr167FgwQIAwMGDB1FWVoaRI0dqv0lJScHgwYOxYcMGn0bB3LlzMWfOHK/lK1euRLrqIxEHVq1aFbd9E/Enkfp/9+6WaGgQUFtbgaws5YFy+nQaDh7Mxs8/O3DkSGWcW+hNrrQXNnYOosjjx58cqBArwPMnvdbbtj0T+6tOQLYcR8rxBsN3RxuOItXxE85Z0vHTgVw4uGy0kA4glZWjmj+FOr4wau1PpP6PBUePZqG0NB3Hj9fh6FFzZbeyMgU//5yDjAwnyssr/G4vSz6KdLkUAGDn9uOsUAqJSdhWtQ0AUJ5WjoP1B5FtyUZ5RnlkDyZIJCZhe9V2MDA4s5z4jv8OxxuOAwDWb1iPY2nHfP42Uz6GDPkE6vijqObd66XJp5AtH4KdO4CzQmnE2rqrehfssh287RxOWVtgzxlg/5ETyM9vQEXZMVjPHsCRE/k4c8CCM2ei/zzIlI8jQz6OOv4Iqnnfx5kj/YwUVokq/gzq+QK/22xwSti/35U9IWMvjqUeweE0JbD67Fkb9u3LRUaGiGPlh7Cndg9S+VQ07DE+M3ZW74RDdqD+p3pkCBmm+2kpfQeBKRXEzvJnYefzvNYJ9/7PlI8iQy5FHX9Muy6ypYNIY6dRw59ELb8Xu3a1gt2uzLyXl1ehVav6sPZlhpVVIU/6CRKXhjOCHQKrR0vpOzBYcMoSmiwhMDtaSrvAwOOUyehUvQbq+SOo4g9F5gCigI2dQ660FyKXjnKhIfAPEN3nf10IVetCNgr27NmDt99+22v5pEmTtMF6pPjzn/+Mc+fOoXv37hAEAZIk4YknnsBtt90GAFq2o9atWxt+17p1axw+fNjndmfNmoWZM2dqn6uqqtCuXTuMHDkS2XEo1+p0OrFq1SqMGDECVmuAICqiyZGI/W+zcWhoAK64gqFFC2VZRQWwYQOHtDRg2LBYVSwKHu50JuCsQkMD0GDphHpbCa6+2rudklALHE5Hv37FGNPvSsN3e8v3ovJwBYpTs9H+/JGALQ84uxNc3TGw7O5A5vl+2xCMn7wnidj/seC774DDhzmcfz5D9+7m61RUAC1acMjIAIYODXDNnd0Nru6I8rctH6zlZXBIDnC/KFJR/6L++Lb0W+Sk5ODy9pdH8EiC52TNSXClHDKsGRjacSgAYO+pvXhjzRu4+NKLcXHbi33/+NwP4GoPgmV2BrJ7uJfXnwBXuV075khh+cUCh9iAEvEoOuR0QIuakcjZl4K2bRn6XnAWZ/etR1pmOs5vNRADB8bgeaA7fmdaD1gsPty1K3eAqz8Oln0BkHme303WNTix6+QuAMBF/TPRPqct+rbuCwAoLweyszlkZgIll3RGxvEMZNmyMLjDYMM2Ug+mok6sw6C2g5Cblmu6H+5kKiApAzOW0xtIb6991+j73+y6cN0LLKsrkNUVgsBpE+s9ejB07hz6bnzScBJcRSZgzQFrdTkg1oE7lQJwAljR6NC2JdaAO2UFeCtY4Sjv72sOgKvaA5bWBsjtF5n2R4OGMnAVWYAtF6zlIL+rxuL5r3rDBEPIRkGrVq2wc+dOdOnSxbB8586dKCjwb5WHyltvvYVXX30Vr7/+Onr27ImdO3dixowZKC4uxsSJE7X1PNMKMsa8lulJSUlBikn4vdVqjetLOd77J+JLIvU/xwEWi+IypDYpN1dZ5nQq/rahDHxjAicDggU8D1gFBslmgdnpFCw8BF6AxeJ9vlOsKbDwHHiBh9XqOnhLCiBYlAP20z+MAV99pZy7q64KPb4skfo/FgiCcj2lpvo+renpyjqM+T31rg1ySj+pf1utECHCIljAczxSbanK3wIft/N8znkOFsGCwuxCrQ0pNuVdxPGc/3YJvHJ81hTjyZDSleV8MCcpeDieQwongxd4WCwpEKwZ7meCLQUWqwUWgQPjze+ziCMAECyol9LwxRdW5OQAl11m8hyypgAOi3K+AjTMKgGCywfeIlggCIK7X1KUa4/nAcEiwCJYYLPavPrIZrXBwRwQLILv/hM4aMMt17Xp1ZZw73+L4H1dWI3PLPV5DgR5L4WC03XfWV03Mp/qvg9D3pHFdS1bzX9rdW07iL6NK57nJAii+fwPZbshGwV33XUX7r77bvzyyy8YOHAgOI7D+vXrMW/ePDzwwAOhbs4vf/zjH/Hggw/i1ltvBQD06tULhw8fxty5czFx4kQUFipSfllZGYqKirTfnTp1yks9IAgieMzSRdpsyvPN6VTqFcRBVPMNY1r2IcYAHk4/RotrVlP2HWgsM7OUpP4jKhsagHqXKu90utNpEuZEPPuQSaCxGvwp8II2+ItnnYLTdacBKKlIVRpfvCw6gcYyk2GV7co5tKQbnwmuOgUxLV7mCmitqbWCMaCyEti2Dbj4Yg8DPIZ1CvTL4pZ9yG+dAqV/9H0UtexD6nWoP0f652hQ2zJLr6ojWQKNk7SaMRCGUfDwww8jKysLzz77LGbNmgUAKC4uxuzZszF9+vSINq6urg68R2oKQRC0lKSdOnVCYWEhVq1ahX79FCnJ4XDgq6++wrx58yLaFoJoTvjKDJOVpbh01NQkmFGgqxQqywDHnD6z2nCc/+xDYLIxJWmQebfrdW66ZBQEJpTsQ4wpGVQs/t5YJilJ1YG2wAnBDd6iiF20o9quxE7ojQLNWAlYp8AkywwAcJFPSSq77gGBOZR7QUj36C8eHGJcvMxl9IjMfRGcPAn88ANgyJAexToF4ack1bUlwqlj/dcpYIZ0pEAU4nO1TDuC8X+1baEYBeqETZIaBadrT+N49XGUpKUqg+skK1wGhGEUcByH+++/H/fff7+W9jMrKyviDQOAa665Bk888QTat2+Pnj17YseOHXjuuecwadIkrS0zZszAk08+iS5duqBLly548sknkZ6ejttvvz0qbSKIpo7+Je85i5uR4TYKEgpdNWMmK0qBz8GmyyhgzHedAjmMisYNuniyRE6MkSgEU7xMEJRBqOxKuOPXKDCpGqsOtHmOj7tRoKYizU7J1momAIrBAgRTpyB2SoGmsMh2pZCfJU3rL61OgSslKYtVeJFq6MnK8aakKBmsDh5U3MzOU8MHolinwJ9SwODnRHgVL4sk/usUiB67i3pKUoNSICGkYaZ2nnz4Xmp9m5jFy/aV70NFfQWK5BZoDQSuvp2ANMqMiZYxoLJw4UI8/PDDmDp1Kk6dOoXi4mJMmTIFjzzyiLbOn/70J9TX12Pq1KmorKzEpZdeipUrV0a9bQTRVPFnFCRsrQJZV83YVafAt1GgFiLypRQwADqjIMhiPJ5KAeGfYIOyrVZl8OdwAGlpflY0qWisKQW8oA2+41W8TDUKWmW0MiwPvk6BqhR4nDBOJ6fIYkRmJ9VzJMh2yLwMCOneRoFr3CZLMsIseRQazGgU5OcDOTnAjz8qakFaGlBUhIgpBaEaBT6vK8/nRqQHtAEqGnsaBVFXCtS2MDn02i6B3IcaUYMiFjSIysyQ3VmrxMA0Vfehfv36+Q3c1bN9+/ZGNUhPVlYWFixY4DerEcdxmD17NmbPnh2x/RJEc0YvN3sOrBPWKHAVLoOQCsYa/McU+HMfAqcoBdANdIIsxqNXCjxfxIQ3wbgPAW6jIOBgxmAUMIDJ7sEt544piLdSoHcdAtxKQdjFy3hBmRlmzHUOImAUuNrCy3ZlHtriaRQIWr8xOT5GgSAAnTsDdXXAoUPA9u3AwIFArjX82WT9wF59fjAGSLLyzDAzCtSxkU+lwLNfI+4+pG7fvHiZp/tQ1GMKAMVAYHIYg3ff1ea17er3mWDYXe8hh1gHCLamaxRcd911UW4GQRCJguHl70HCGgWqUmDJhCw1gIMEnvMxWHEpBWbuQ5zmWkRKQbQJxn0IcMdmBDynnjO1smhQCvTuQ4Ey1EWaOmcd6px14DgOeWnGHPWqUhDYfciHUgAoagFzKANOIbXR7dW7DzHeBgge7kPg3EpBrIIKtDgRt1EAKPEE9fVKfMGWLcAVF1mQDkRMKQAAUXKpiybXjGrU+TQ2PZdHK9DY1H2IaRMUgqAY4lF3HzK0JcJKgXrtx0nt84coi5pR6RTrgRSbe0IpiQjKKMjNzcXdd9+N1NRUHDlyBG3btvUKACYIomngz60jPV1530iSMjOe2vjxR2RQYwosGZCZMiMr8E4A3qmH1feluVKgwMxiCoLIPqRCRkFgQnEfAkJUClyf9UqBfpZXZrI2mIsFqkqQm5qrGQEqwQca+xkw8RblHojQLLQkSwCTIchOyMxi4j7EgeN5ADJYrAZoJkoBlKbgoouADRuAs2eB7TsEDOwO8FEwCvwpBb6NAo92RM19SH89e7sPpaUpkzmyrNx7EUsprR6Pp1IAhK8UJGGgsV10u7A6xHoALZJSKQhqZD9z5kyt+EGnTp1w5syZqDaKIIj44U8p4HnFMAASTC3QuQ/JUEaRFt58gKSpAbJJoLHrfxmyt1EQYNaLlILQCMV9CAhwTvX+y6rVxyTTmAIg9i5EatYhs+JWaruYmgrXF/6UAl6NK4jMgFNiEgSXoS2DAwSb13NBnRhksVAKZEnLLibKVkM7AGWAe8klyrVSWyegrhaNDjTmOPc+RNG3+1DAAHYvpSDSDwczpcDbfSg11X08EVULzK7LICdSvLcVbKCx+3pIFFTXIQBwSq4ZoiQ0CoJqcXFxMd59912MGTMGjDEcO3YMDQ3mpZvbt29vupwgiOQg0AxuVpZSp6CmBmjZ0nydmKO6D/E2SMwKwAmBM3/5MvgLNHZtzvC+CfyCY0zxe1ehmILABOs+FJxRoA+ESQGkBi+lgOM4cBwHxhgkJsGK2BU/UgebnioB4FYKAGWGnhd8WEmB3IeAiA04ZSZDcN1TTte2PY0CTjUKmJKBKKreWMx1XBwHSVaO3/O6SUlRBr4NDkFpayOVAsCd+cqfUhA4q1WMAo191ClQn0UWizE+x2/QfiiYug8FV9vFZGOu3/tSCpR9VNcAQq2E9MzEGXSrQcaAy30IaLopSf/617/ivvvuw7Rp08BxHC6+2LsUu+qjKXlGtRAEkVT4UwoAJS0poBgGCYPqPiSkQGbKIMaXUeA3Jam6OcP6gSVru904cUVKQWBCdR/yO7upz+HP2xSjQBa9ssbwHA+JSTFXCgJlr+FdV54oi7AKPoyVQO5DQOSUAlmCwJQTLnoYBWp/qUoB5yqQFdUK51r/WvxeNzwPMAiQwjQKPF241GegpmqFpRTojDkmKYPoSFpRpteFqpYxw/my2dyZvCKGWfYhbSIlxD5ggQKNeTicwJ49QH2phMFDE2fQrXcfYpIDoizC0lSVgrvvvhu33XYbDh8+jN69e2P16tXIz8+PdtsIgogDgdw6gg78jCWqdMunaO5Dgg/3Ib8pSV3/G42CwEqB3nUISLBzk6AEMj5VglIKZN3ARGfEec7QC5wACVLM05LqFQsztLSW/gZRwbgPRSqmgEleSoHnc4FzjcrVAmZRNQrU4+LdRoFZzQpBUIwCxhBWMKrnwF49Ji3QOJziZWo7hBRArFP+ZlLkXEvMitr5UQqAKLkPRSSmIJBSwMHuEABIsDck1gS03n2Igwyn7ISlKdcpyMrKQklJCZYuXYpBgwYhJcU7gI8giOQnkFuHvtJnwqC6DwkpLvchP0qBGswm+3YfYvqXfxAxBZ7elGQU+EeW3ZOCEck+pA921M2a64uX6f+PtVJQUcFh97Z8tL/SCniHFWjt8p+ByM+ASR1gRiizTVDuQ652cCwGBcx0Lir+lAJlWfjuQ4By7Nr1oikFjYgpUPuNt0Y8dSyAoOsUqEoBEOHnk7/sQ5GuUwC43MckyAn1AjIqBTyT4ZScSEtC96GQUwhNnDhRMwimTp1KQccE0cQI5NaRcEaBLLlfTFpMgVLV2BTO96wf5xrdGGIKgnjBqUZB0Jlymjn6ayeiMQWcxTBA1gca6/8PWBMgwpw+KaChzoIzp8wHCQICZCBiOivKb6Bx5LIP8a7ZeYmzQmayz5gCQEbUY41Z8EYB0xsFYVgrZrUKnGIjYgr02YG0azOio3L39lVMAo0tFrdREB33oQikJA1UpwCAzFyB+bKUULHG+pgCjklwyI6kDDRuVF7RV199VctKRBBE0yCQW4cq20cqmPZY1THUOBqRykiNJ+B4gLdqMQW+sg+5YwqCdR8KLIWr7kNqIXUyCvyjH0RG1X3Iw20nXkqBw+mqjSGF6T5kaK9ZTEHk3Yc412BP5gRTo0AtYMbF0ijgg4sp0NoTRj+bVjV2DT41o6DuOOCsNiwLnJKUj3iWKGVbZkXtvOsURMV9yFUkUNml3igJ030oaKUA4JmYOBNTcLsP2VwTDw7JYW7AJziNMgpYIplpBEFEhFgqBRX1FdhRugO7T+4OfyO6zEMA3EqBz0DjILIPGZcq/wWhFGRnK/9T9iH/BBtkDAQbaKybrdS7D3koBfEyCpyulJZgPowCXaCxKYbsSmbZhyLvPsS59sk4AZIsmUwW8OA4d0xBVDFxHzIzJg1KARDSoFStN6A3zLSUpPriZY5KoGI7ULlLWSdopYCPeD95bV9FpxRE1X1Ib9yYxhSE6j4UWClQ61QgFtddCKjuQzkpSoVPpyQ2P6OAIIimRyClIJJGgSq51jvrA6zpB8kdTwAAkiuPuQBfo0h1gOYn+1CI7kOeSoEoJlwa7YQi2BoFgFEp8HlO9cGOevchD6VA/T/WgcZOp8stTTI/4IDtCjSDGg33Idc59a0U8C4jOnGUAkEAwHGQVRUwBKPArDKxFmisr1PgUgjUyYiQsg/xEXYf0u/TR6Cx3n0o8kqBemycD6MkwoHGAETZHeCeKEoBY0xTClrYlPR8DlmKcp7e6NAoh6fq6upItYMgiAQhlkqBOjPqbMxLUnZnHgL0SoGP2TiXUgA/7kOM49wBhyEEGqtGAaAMYtWZOcJIsDUKAOM5FEX3wMaAPi0il3hKgTqo9GUUBAw09pd5CIj4DLTiPqQqBRafRgHHA5wcA6NAUwqsAd2HANXvXA5pUMpzPGRmNMy0QGNZZxRIrhkAZgxiDxhozPHuehKRch/y5VamDcqN7kNajESklAKzIGN9W8JWCgK7DyWSUeCUnZrnTLY1A1UA7IkkY4RAyErBr371K/zzn//Evn37otEegiDiTCxjCpySU/s/bHdEXY0CwG0U+FQKON8SNa/7i3kGdjJmOlXNmNsoSE+Pwou3CRKK+xDPB3FOZf1srO+YgngFGqvuQz5jChAoJWlslQJZcoBzKWoyJyi1HUxiCmLmPqQVLxOCyD7kHjiGMvhWrw2zmAKDUqBPK4ogjALZRCmIhlFgWqdA9qpTAERSKdBl/dLT6JSk/tyHEs8oUF2HbIINaRblXnRE0kUshoRsFGRmZuK5555D9+7dUVxcjNtuuw2LFy/GTz/9FI32EQQRY+KhFACNUAsko1IgysHFFPhzH1KVAuNSmL7kHA63IZWS4p7JprgC34TiPgQEEWysjynQzZqbFS8D4hdTwEzS4AK6QGOf7kMBlIIIBxrLkjJqZBwHcAJESfJOIcvxrv4LQimQHEDVXkAM001Qyy7mXynQnk1MHXyHphQov/XOPqSmJOXAAVKIRoFBKYh0TIFuEM2Zp1GObqCxj+uysSlJ/QxNRUk1ChIn0Fh1g02xpCDFZVzaY+yiGClCNgpefvll/PTTTzhx4gSee+45tGjRAi+88AJ69uyJoqKiaLSRIIgYEkpMQWP95g1GgRTmgMYr0Fj532dKUviuaMypmYnAu1/y+hk4k5ecqhKkpirnjNKSBiYU9yEgBKOAt5gWL9NSkpr4jceCQO5Dart8ug9ps82+ijrpBpsRCGaRXfcUc6VKVQNtAbNA4yCMgrojQNU+oGZ/eA1y9a822EcA9yE59Jlqs2vDv/uQknkntJiCyBpvvgfR3ilJoxJo7Mt9KGylQFVnfSsFoqTsK6GUAtfEVKolFaku1UQCF/47LY6EHWiclZWF3Nxc5ObmIicnBxaLBYWFhZFsG0EQcSBYpQBAo90GIqIUeLkPKQ9lnvMxQFLdh0xiCsBkVxYSnVJgmIXzPmA1yDg1VfmfjILAhOI+BAQxw6kfeOljCmRjReOAM/JRgOn8un0qBUG7DwVQCoCIuKYw1z0lc36MAlegMceCMArUe1R1vQkVOTijQF2m5rIPSykwqVOguQ8BgKSrVBiUUaAbuHNRch/yNBa1z+YpSRmL0PPJrEaBYf+RVwo09yHmw20tDm47qvtQipACHjIEXgDjeEPtgmQhZKPgz3/+MwYMGICWLVvir3/9KxwOB2bNmoWTJ09ix44d0WgjQRAxJFilAGi8C1FElAJP9yFJdR+C+ctXdR8yS3vneskb3YcAf4FzeqUAIKMgGAJdY54EPKf6GUuTlKTqwM3MbzzayEzWJvoDBRqH7T6kD4iPwKBIdt1TzDXYc4jK/g32sSvQOCj3IbX9UpiDJFUpcKWj5HnzyWTvmIIQlAI/MQWqUsDJduNEA5PCyz4UsToFvmJNlJPDGIPkMmjUQOOIxjz5dB8KNyVpENmHNPchD6WAycCZTUDp54CzEXVvwkBVClIsKQCTYBNsYBCS0igIOfvQ008/jVatWuHRRx/Ftddeix49ekSjXQRBxIlAs7gcp3wnSYrffGMy7OiNAocUpqOrbExJKjMeDAI4XlJmKHnPdDWqf7e5UaBUOuaNL3lOUF6AJoMM1ShIS1P+VwOxySjwTbhKQXDuQ75TkgYsEhYFHKKkuapx4CFJ3scd0H0oiBlU8FbFQGZOAGmNarOXUqBW9DXEsoYQaBwpo8ClFPi6btyD+EYoBSZ1ClSjQFCfNVq7gjEKdAPdiLsP+XArU9skA4rhIGjnzGpV7j+HQ0mM0Lj9+wo0DjclaWD3IdNAY8aAyp1Aw2nls/McYM0Mcd/ho8UUCCmALMIqWMHk5DQKQlYKduzYgYceeghbtmzBlVdeicLCQtxyyy146aWXsGfPnmi0kSCIGBLMLG6kgo0b7T7EmNs1wRVTIMuADKvSfrNt+ileBijuQ4zjwKCbEfQTOEfuQ6ETqlEQ0Bfa4D6kbJTpAo3DSUl6pu4Mdp/c3WhXI7WasTLLzpneMwHdhwIpBUBEg1hVo0BVClT3IeMzgQ++orHaftkR+uwx4HYfkv0bBe5A48jEFHi6Dwmyx8RFqEpBpAONfRmLqoEjARyYNpEDRDiuINIxBUEFGqsxBbpA46q9SpVpbTuxdSHS3IcsKQATYRNskDlBUxCSiZCNgj59+mD69Ol47733cPr0aXz++edIT0/H9OnTUVJSEo02EgQRQ4IZsEXFKAjHfUjWVbRSA40lgMGqTDaZGgV+qmaq7kPgjYNBPz6ynkoBZR8KTMSzD5m4D8m6AVw4xcv2le/D4bOHcaL6RHCN9IHDqbowqbPu3usEdh8K7FYRyVlo5roXeUG5p0yNAt09ETC2WX9c4agFLESjQFUKQjDozAb3XoHGskfbQ1UKohZT4HlClGebqhToz1dE05L6NFbDzD6kKQW+r3Onzn1IlgHUHgGqf1a+FFwzM5FSYoJEcx8SXO5DvA1I0piCsIqX7dixA2vXrsXatWvx9ddfo6qqCn379sXQoUMj3T6CIGJMKEpBYwe+enUgLPchLfOQ1SCZ+1MKGFwvMh+BxgqkFEB2uV9ZGueKYrrpiGcf8lYKZCYpYwyODyslqWqkVtmrgmukD+yaUeAqUGZyzwR2HwpBKYjAgFOW7eAB8FqaX3OjQFUKAk4OMA+jwBKC3wpjukBjVw2SgOmSG5GS1Kx4meol42nQMAm8qyBZ4JSkUcw+pGu7XbIj3ZoOcBwkiYGDrLk0AhFOSxqwTkG4gcbBuQ+h4RRwdrfyRXZX5bzWHIy9USC6sw/BIcLCWyFDah5GQW5uLmpqatCnTx8MGTIEd911F6688kpkZ2dHo30EQcSYYJQC9SUTd/chyRhPALiMAs6mKAWmxZzU7ENmLx4KNNao3AE0lAEtLwNS8iO66chnH/KOKZCZDI4BHG9xZZQKrXiZus45+7ngGukDp9MVpOpqg6lSENB9KLZKgboNi8sgdLoCjX3FFARUCjyNglDQGTmBlAKt2FgjAo1N6xRoSoFnTIEMng/WfYiPeqDxttJtOFlzEld1ugoZ4CHLEjgfSkF03YcaG1PgRykQXaofq4W1ehuQzYD0tkB2N8WNCIip+5DMZG1CK8WixBTYBCsYh+ZhFPzvf/8jI4AgmjBxiykIy31IjScwGgUsiJgCszoF7pSkJoHGgNdLzul0nwNP96GkNwrs5cos7bkfgYIrIrrpiGcf0gZeFpfzvgCZya7ZbveIKBSlQL02G6sUODyUAtOYgsZmHwIi7D6k3FeCJRWQ3cW7zJSCkLIPAYCnC04gtIEnD8mV0jWQUuBOSRpCRWN/dQrU45calLRmHK8Yao2JKWDMb0BtUHj44Ffbq5X/HdXI4HhIkgSAGZSCyLoPqX3jK/tQuDEF5udFlt01KAQ0KN5hKS2B3D7KCpFWYoJANQg4joOVt2oxBYyTk9IoCDmmYNy4cZpBcOzYMRw/fjzALwiCSCaC8feOhFEgyRKYboqxUe5DauYh1zvFf6CxH6WAyeBhohT4cB9SXYdsNvf5Ul/ASR1TIItug8txFqgvi+jmIxporHMv0QYjLqMATNIGe0BoxctUo8ApOVHvDLMSLwCHmrkHftyH1CJhAd2H/NyUkfRXdylsgstH2ymZKAWhFC+LhFLAWYKuoaKmrQzHfcgs0FiSoTwb1HvCkqFtP6w6BSG2zSce14V6/SjPUjWoPZruQ+rLwpdSENmUpJIEyLpzKCILyO/vXj/iFaMDo69RwHEcwCQl+xAnaN8lEyEbBbIs47HHHkOLFi3QoUMHtG/fHjk5Ofjb3/4GubGVjAiCiDvB+HtHIqbAcwDUKPchXZAxADDOd6AxUyV3s5gCNfsQfBgFHoHGnq5DQBNRCsRa4+eqnxCJSrkqEU1Jaugn16CAtyhKAZM1txAg+OJljDHDOo1xIVKzD6luJn6VgnCLlwGRVQo09yHlwtZScup3z7mMgmCKl0XCKOADGwVaReMIFS/TKwUCcyrPFI4HhHRt++rvGGOGSQ53+/UpSQXdgDkSxptxEK0+U+2iHeB4yDLi6z4UavGyAO5DkgTISFMSQSAV1SmXGlNOq3+buo1GBy0dqcWlVqspSV1qc9iptuNEyO5DDz30EJYsWYKnnnoKgwYNAmMM33zzDWbPno2GhgY88cQT0WgnQRAxIlYxBV5GQVjuQ8bCZQalwFdMAafk7falFPh3HzI3CtJ0sbhNyiiwZimDOGc1UH8CSG8Tkc03JvuQl9eFfnClGgCcRYsp0CsFwboPeQ7Oq+xVKMwsDK6xHjidgZUC/cBS1lXJ1dDaoywvrytHVkoWbIKuSEiE/NVlJrtjCoQ0AHVuFyiPmAIl0DiEOgVA6EaBHLpSIDMBMgP4CBYv42U7OC4VENLc1xmTXHVNXB/BDJ/VdZT2u69NMIdyjoVUNA63sSgzWWu7U3Yq7lYSohxoHKh4WWTdh0QRkLkUlAtDIcOKInjUoNGUgtg9fNXMQ6kuAxpMBA8eFksqHFCMBsN9muCEbBQsW7YM//73vzF+/HhtWZ8+fdCmTRtMnTqVjAKCSHJiFVPgaRSE5z7k+o2H+xAv+J41VZUCXzEF/t2HjAfsmXkIMKYkjYTbcFyQ6pT/rS2AtDaKUlC1F0gr8u/CEiThZh8ClPOq/2yaAcU1SOIAg1IQbKCxp5JwrqERSoFoVAp8uQ+p2a5EWfQeRDDtwkZ5XTk2HN2Aoqwi9C/u716Hi4xSoCgsyvGrgca+YgqUaztxlAJ1OYMAWQ7NKDBTawTBpRpJSuEyDmlK5iTdoFd/fZkbdB4uMbzFVa8hskqB/ppV3YeUfmHRUwoCZh9iIT4EA7sPAYDEpRs+a2hKQXzchwBoRmyKNQN1oqh8n+Lr14lHyE/3iooKdO/e3Wt59+7dUVFREZFGEQQRP2IVU6AaBeoMi8zk0AtFSeZKgT9XCo73X6dAVQqMrgDmPrJmSoF+Vi5p4wpUpcCSDmR2UowusRaoOxqRzYeqFPC8+5rzmuHUBxlrP1CVAikspcDTYG1MsLGWfQi+sw9xHOfftUk3I1vrVPqm1uHh4hUh9yFJlsCpRoGgXNiBUpL6NQoYM943UojxGTqlIJAxqbaPQVB22cjiZTyvzP4zmXMZBZyiFHDmSoHpdWWmFOiPqzHo4hW8qsNzPGRJce+KWqCxL/ch/dAylLgC5ufZDO97x6dREAelQHMfchkkNpdBnWzBxmEVL1u0aJHX8kWLFqFPnz4RaRRBEPFB/3IPxn0oEjEFqZZULV1jyHEFsnlMgf+XQ3ApSQ2zyQECjfVKgX4Am7QuRKJLKbBkKLOAWV2Uz1X7QioI5YtQlQLAj1uWZ5AxoHMfMs7kBlu8TO179bd1zrrw3NsAONR0nn6yDxnaZjaQ1Q3+1HZ43SsRCjSWZIerCi4H3jXQkUyLlwnBKQWex6NzTwoK1QUwCKVA/Y5xilIQiZgCxhhkiYMgO5TnlGBUCjiO055f5samp1IQwYGrTikwMwokV/EyM/ch1RWvcfsPFFOAEF2I/CsFAY0Cz+xOMUCLKRBScOQww/ffy3A4FaVA/32yELL70Pz58zF27FisXr0al112GTiOw4YNG3D06FF8+umn0WgjQRAxIlijIJJKgVWwwspb4ZAccEpOt29mMEjm2Yc4Py/eYIqXMXBGpcCHj6xZoDGgvHglKYmNAsk1C60GVGZ0AGoOAGI9UHcYyDyvcZsPMdAYUGY4GxpMzqlZBhROgCTLSpBlI5SCVEsqZCaj3lmPKnsV8tNDr9egxhRYLL6VAgCw8BY4mdM8A5Futlk1Brzc7SI02JRd9xTPCRB4taIxgwBf2YcCxBTo7xneqrRPajAGiPpvkPK/LqbAn8KkzO5blAFxgNl4/S1uEbyVAkFQPjOmKAU8xyvqmVhjODae4yExyfu6YrJ7J55KQURcXPwYBbCZBhrrXe+cTrdyEDJ6BcgrpkCXtjWUYGMWONDY32fDNcVEt0tdFNEXLjt4VISlDqiqAlKKk9MoCFkpGDx4MPbt24frr78eZ8+eRUVFBSZMmIC9e/fiiisim8uaIIjYon/IRtt9SB3cCJwAqysGIKS4AlnSDQg9YgosfrJQuFKSms4jaT7BnoHG/rMP6d2HgCQPNmayMvgH3KkXOR7I6qr8XfVzo10fwjEKfJ5Ts1zpvAUMilKg9/E2CyY1Qx1gWXgLWqS0ABC+C5FTVK60tFTFKAioFJi6D7kHf6pSIMkeg1A+MkGWkmsQw/E2dxVmU6UgWPchnfuMyx0ppLgC9R4OItBY/Y5BUMaXgWJHtIyeDIKaHYoZlQJAea5YmMPtPqS5ExpVIFOjwL0113+RTB3rz31ITUlqrFPA826lt1HPJ0OAv8n8cjgFzIIINAb8JLrgePd+Y5SWVO8+JLkaJEkcUq3KhEqyGQUhKwUAUFxcTAHFBNEECbaoVKSVAptgQy1qQ3MfUl2HdJVCvdyH1Bz2hllkNUWRj5Sk4IKqaCyK7peqmVIAJKlRoLoO8RZDpWiktwOq9yuxBTW/ANldw95FqDEFQDDuQ/o+Vt2HfKQkDTLQWOAEZKdko6ymLOy0pGpMQWoKBzDfSoHAC4Dso1aBiVIAKBm7NF9mdVaUSY2KcJc1lzyrdu58GQUhuQ9xgpJtx1kVWlyBej54q3bdWPyMXAQBcCA49yG1LwSBmcYUaEqBDPCq+5glHXCedR2b67wEYxR45dKPhPuQu06BZyFI5qpT4KkUAIo6IIpKXEFGRmP3zfmY2Q+nVkFw7kMpKa5MRGab5q2KgsycANJMVogs+kBj2ak0UJQtmuKtGg3JQlBGwe7du4PeYO/evcNuDEEQ8SXYGdxIxhRYeItSCRIhpiX1KFwG6LMPCW75WnYajAJ3nQJfgcZ+lALdMlUlsFq9BykRmYmLF6KH65AKxwHZ3YGKbYorUUZHIMxUe42JKfAZaGySfYj3UbxMzSnP+Rg4G5SC1MYpBWr2odRUDqj37z4E+Iop0BkFunvEKTuRoqY20R9/I1wnVPchTrDp/OxNsg+BV4r7gkGWGXzN7rr7R3Cn4AxJKQg++5D6HdOMAtmvgaQZpwLzG1NghV15XnC8okp6uBP6Ngp0xcXUNmhuXpHNPuRd90V165K9nk8RSUvqM8jYhcvIDU0p8B9orPaXzQbU1vqYlOIsAOwxUQpEWdTOe4olBbKkuJWJkgXprvdSk1QK+vbtqxT0CRC4wXGcJp8QBJF8xEMpsPCW8NyH1HV5b6NAEOBzxkgzCnxkH+JNi5d5xxSYBRmr6NOSJh1qPIHFZAoxrQiwZiuzvTW/AC28M9EFtYtIKgU+3IeUlKTmSgGgDL4tPgY0+mszOyUbAFBtrzZPORkAVSlIS+Mg+TEK/AdB69yHdDPMhvuF45VzwCSXIRyuUeBwbU5nFJimJBW0W0gJRPYxUvdUCoDQjIIQ6hSobdSMAnX/PvrZfR0yn3UKGGRYODs48K7MQ1zwRoFZ0bkYxBQAilGgKAXMyyiISFpSs/vOQHSVAsDH+yeGGYhUlUDgBVh4C2RJrYKuUwpEu98JiEQjKKPg4MGD0W4HQRAJQLBKQaSNAjUve1juQzqjwDDYVI0Cj22qKUl91SngEFxFY19BxkATcR8yMwo4DsjsCFTuBpzh5+6PTvYhM/ch85SkgP+4An32oTRLGiy8BaIsosZRoxkJwaJ3H6qF73tGVQpM3YdkH0qBp7JmSQOcNUqxOYuH0hMkzFX7g+Os2rlzarUWdCu6YgpcP4JPo0CfHaoxSkEIMQUAbzQKfAx1TJUCz5gCDrCiQUlMoJ7TcJQCbaORdB9yGx2ibJxQccqi6/jM3YeARioFZgqdnnAKmGkTz/4DjdX2+zUKYlDVWIsnUBNdaDEFgubWJzMZTtmZNAXMgjIKOnToEO12EASRAISqFMTVfUjLPOR+2Brab1LMSXEbUVbiwJl4Frhmglnw7kOeQcZAshsFuhoFZrgy0oQ70ynrErKEmn0I8JN9yDAbK5jGFKj1APTVX83QX5scxyE7JRsV9RWosleFbhS4/PHTUnnUwvc9w5sEuroxVwq8jGhbnmIUOMqBtNYhtVPbk859yBBTwHkaBWoqTgZZlgDP6rIq+v7hXUaBHF33IXAcZCYAkPwOSvVGgVlMgdJuGVbOrlyzaqB00EaBycx3JAts+Qg0BgCRyVr2oVi5D507B5SXA506weWGieCVAsPz1n+gcYou1EmWPa/LCNaBCIA+8xBj7n06JQt4jodNsMEhOZKqqnHjS1MSBNFkCDWmIK7uQ3IQ7kOA0SgA014gnFbxUwdTBj+M47QKs66duL93EYz7UFIaBWo1Y8FHBGIjX7r6ayay2YeMSoEkeysFgHk+eq82ur5TZ+/VuIJwKhurA5m0tOCyDwUMNJZ8uA8BQIorZaq9IuR2qmhGAe8dU+DZX5zrZmKSn4FfFNyHAqUkVdoceKZa7z7ka2DPcQxWNICD4I6zCVkpMHEfikVMgUspiK77kLJxux3YuBH44QegogKhKwVmxSI9UO8lfRrVeBYwM2YeAji4jAJROSeqC1EyxRUkvFFw/Phx/PrXv0Z+fj7S09PRt29fbNu2TfueMYbZs2ejuLgYaWlpGDJkCH744Yc4tpggkpd4xRQ0yn1I8OM+BBhkZMaYlpJUiZPy2CaTwcMs0Nj7BdcklQLG/LsPAeG5BejQG2KRiSnQBbJqG7ZAhgQOxuJlQHC1CtRrUx2oq+pAOMHGqutNWoorvWegQGNPY4UxbcAkyczQbi9lzZbn+uJs2EXm1OxDAWMK4FY3mL/0Q/qK05pRYA9+Bll9JoSiFECJKzDs3wR99iH1WBkznmOOl2HlGsBkLgz3IfdMvnuDsYkpcMgiFIGHeZ2viCgFHgbP7t3ue9PhgKnLpX8CKwVq/1ut7lV8FjCLhfuQLvOQ3igQXQYpGQURprKyEoMGDYLVasVnn32GH3/8Ec8++yxycnK0debPn4/nnnsOixYtwtatW1FYWIgRI0aguro6fg0niCQl1JgCvStIqKgDGitvbZz7kIlSYDAKdIaGzGTtZeJlFKhuRZxJSlITKdyfUpC02YekBpdawrsHcJ40Ms96OEHGgJ+BjGlMgQDZh1KgGgn+0pKq32lKgatWQahpSSUJkFwXZVqaOug0N6Z9VjTWfXZ6DDq9jGhLutJvjAGOypDaqu3OpcDxQorbpUZW7h3PPuPU4NygjAJBcT1T76VgUzVqM9LWkIyCkJQCgRmMR4NRwLmyD2k1CuA2CuQwlIJoVDTWuQ+p16zdqd6fUVYKeAtOnADKytxfiSJ0hlM47kP+lQKLRacI+VQKou8+pFUz1pQCpTGeSoFqPCQDYdUpiBXz5s1Du3btsHTpUm1Zx44dtb8ZY1iwYAEeeughTJgwAQCwbNkytG7dGq+//jqmTJkS6yYTRFITqlIAKA9lf3nDfeHptw2E6j6kGgUhxBTo3Id4jje6D7ksBJ7jwVhkAo2TLvuQlo40zedsXWPzrIcTZAyE7j7EwMCZZAsKSSlwDRSzUrLAcRyckhP1znqkWYPLfy6K0LL2paXqMh9J3sev+e97Dmb0yoDH7L/p/ZKSD9QdBxwVQGrLoNqpR599SMvIIyvH4WUUCKpS4EeV0A+MOU5R9sR6V1xBgPPIZPfxh6gUhGoUGDJTyZI2uAYnwcLZPQKNQyxeZhZoHMmYAp1SkG5NR5W9CnaXQsWxKAUay25Xme+/dzWD0xm9IRcvU6sZ+87SozcKBEHZj5c9ysdQKZDcMQWiCHDM6D6kBhsnk1KQ0EbBRx99hFGjRuGmm27CV199hTZt2mDq1Km46667AChZkcrKyjBy5EjtNykpKRg8eDA2bNjg0yiw2+2w292WW1WVIgk7nU444zC1p+7Tc987d+6ELMu48MILY96m5oLD4cAXX3yBnj17ol27dnFpg6/+jwcNDYAoKjPoatYUX4ii8vCur2emA+OA+3I2QJRFMImBAwdRElHP6oM+D5yjDpBFMJnXRop2u9IuWWZwygAniWCOOvf3oh2iJEJmEkRRhMOhG+jITnCSCEmSIcoyHE6Huy2iBE4SAacDzOmEJAF1dcrxWyzMdMZNFDnU1wc+j4nU/7CfU47TkgLmqz0yU9YBwBwOvy9xM9RrzGIJfG70cJzyO6XoEnMrPk47IImKX7vaZonBKTrBJCdkSTacWyYxiJKIBnsDnBbzY2xwNECUlGtT/W0qn4pqRzXKa8rROjO4IN6GBijt4JT2MaZkhKmvd7dfa5sEiJIIu8NuvBakBuV8czzqHPUQJfdgst5ucr/wWcr6dafA0joF1U49Tmc9JFmCxDhIogRREiGKyv0gSRbDtS7LMiRJgtPh8H39OpX2q/3DMYvSXw3VAJfpvzGyQ7vWRLsM0TUqlGXzew5QBoqiyMEhKv3MHA2AYL6y3S5CkiUwiHA6nZBlJQDd7rCDZ+qgthqMSZBEDk6JV4xhSXa1SwJzKteYad+5jh0Sc99Pkuv+kUQwhwNO1zGFc/9zouvaFyXtmrVxNoiSiFq7E0wSAMEBUfTetihyqKsL7R404Dq2n/bKqK0VkZUFZGUxnDjBoaGBwZmhnCPmbAhOkhDtrutc8Pnssds5V9EyBsaUvxsaPN4/kvLch6PB9zMsQtQ21EKURPAyjwanE7LUAIlJcMiA3e6EwASIkoiahhqf/RuL538o2w7KKMjNzQ06x2pFRfgBTp788ssveOmllzBz5kz85S9/wZYtWzB9+nSkpKTgjjvuQJlLr2rd2viAbt26NQ4fPuxzu3PnzsWcOXO8lq9cuRLp6eGlcYsEq1at0v4WRRHvvvsuZFnG2LFjkZ0dWsYLIjgOHDiALVu2oLi4GIMHD45rW/T9Hy/KytJx5EgW8vMbcPKkf1eJHTsKIEkcHI4zSE0NzX+ZMYatVVsBANJe5bc7qncAAMSfxMDPG8bQWvoWAMNpQYLsUgUOH87CyZPpOHGiFieLDyJbPggHtx+VQikAwC7bsat6F3450A04zsHpPIOUFNdsH3OglbQT1VINvm3IRLYlG+UZ5QAAK6tGnrQHEpeKM0ItGhoE7N7dUglQ5E95NU/9XhAY7Hbv781IhP7PlI8iQy5FHd8a1fwZ85WY7Dr3wClBBvNVvMgH1dVW7NmTh9RUCQ6Hj32YIMvAt98qz3pJOgWrVRnMtJS+g8DqUSHUwMkpz0mOiair+QlO5sQvx1cj0+p+fv5Q8wNqpVpUpVchx5pjui+zdX6p+wVnnGdQllqG4pTioNpcV2fB3n1VYEID1qw+jL27O8Dp5NHQUI70dONM8Tfrv8Ev9b+ghaUFTmW4rxmBNaCltBsMAvaxs9hXt0/7LlPIxJlM4zm0sDrkS9+Dgccp4UzIRptU9y1qxVOwH87BgbQabD+3HYf3tcNZmUddTS1yc90TatkNP+LYLxYcs9vQ4GNmNks+jHT5JGr5E6jhDyNH2o8UVoFq/jTqeP/GlcDsaCntAgOP40zAjh0FAACOO+nzsI4fz8Tx4xlwFH+H8hOlOMdXoIE3V0x+OZSO/YfKUF59Bp/K1dhZvRMiE+H4yYFUl/vcj9/XweYshQgnTlV9puyfiSiQtgMATgoMB+oPotxZjlOpp1CYUqhtP00+hWz5EOxcLs4Krn4y3D8MzOVmE87930raBZ7ZUSHUYXvNQdTL9Si0FaLMUYZCp4icUy1RzWpQxR8y/C6c55MnWfIhsOpK7D7oQLmzAT16lOOHH9Jx6lQaSktrUVr0PdLkU6jhS1HL7wu4Pfd1bsEpi7mhsmNHK+3+OXAgB/X1AmpqKpCd7b72UuRK5Mg/w8llokII/vkSDruqd8Eu21GXUQe5Lg9Vh04h23IKJ+0SzrEDqEE5fq77GRlCBk5l+j/P0Xz+19XVBb1uUE/zBQsWhNuWRiHLMvr3748nn3wSANCvXz/88MMPeOmll3DHHXdo63kOIAIVipg1axZmzpypfa6qqkK7du0wcuTIuAy+nU4nVq1ahREjRsDq0sirqqqwc+dOAEDbtm1x+eWXx7xdzYGVK1eisrISbdu2xZgxY+LSBrP+jxc//wzs3cuhXTuGPn38r2u1crDbgSuvZAj1thFlEeyA8uAf3Xk0OI6DsF95OY48b6SWjcgnkh3cSVe9gaKx2sBn927gyBEOXbsydG3XBVzlNsCWB9ZyIACg1lEL62ErrA3F6NPqIgwdypChxtNK9eBOWlDZcA41UgvkpeZhYDvld3CeA3c6AxBSwVoPR3k5YLNxyMgAhg51v8DUmAgmWWGzKW0aPZr5HZclUv9zFduAhlKw7AuAzPN8r1eqVItmrYe5/ayD5PRpICODQ1YWMHhwaLOUFosyO6jvN+6kDZAawFpdAVgV338whl07dsMpO9G153Bkp7kHhbnHclFeX46Lii5CUWaR6X7SD6WjxlmDy9pchvx0JaPPgcoD2HNmD4oyi3BR0UVBtbeiAthzdgcsKXZcPaoE+ZlZqK0FBg1iyM1V1lH7f+jgocg7k4fc1FwMajfIvRFnFbjTNoBPQWF6D2SfzNbSqmZYMzC041DjThkDdzILkJ1gLQcBthwAQJ2zDunWwJNeB/ccQXltNnLbD/3/7P15nF3XWeaLf9cezlhzlVSlWSVZsiTLdux4jKc4HuI4hgTnBroDISRNN5cQIKEhNNCXDpMT0h2g6e5cfmnIZbgBmr5hykTs2MSJ7djY1uBJlmSpJJWGUpVqrjPuvdf6/bH23mfvc/Y5dapUniK9n48+ks6wz9rjep/1PO/zsnX1WzCPmKTpYmv2Km59W5rVqyNDO9VNxpxhwLyCO+9tkuDP7EcUR1Gdl0LnNph9EVEYQXVsha6dVL0qApF8zztziAkbjDSXdd+FaQoMA+69t/l1EzzDtg/ApRvPoLp36+7bCfHsXpcJax/rtgxy7x23kR5JU/Eq3Lrx1rC43Lb3c+7kSTZu7+Omm/w5Qkl9DwBq6J3sm3iRk3Mn2dG/g0v6Lqn9wMJRxNwAKrsOeq8KX47eP460ln3/izEbZAW16lbEyX+h7JbZNbCLl869RG5mnq7uLmR2I9fdfXn8sDqEz6d77mmUhbUT7sReXnr6NJft3sngJVvYtQteegmOHhVs2aLYta7fP8+X6E7oi4Uz71/nKdTQ3YkfMYza/b9nj2B2Fq67TsWuSSrnEJPdYHWgVr996Tu2lHhFS8bu2HwHc1NZDj/1DBnVzSpxOTfcsRHHnOGx0cfIWBnuHL4zcROvxfM/UMO0E22Bgg996EPLHsz5xJo1a9i1a1fstZ07d/LlL38ZgKEhjcjHxsZYs6b2cB8fH29gD6KRTqdJR41u/bBt+3WdlKO/77oupi8EPHToELfffnurr16MZcbs7CymaeJ53uuekL3e1x9onaZlaR/oxYaSTmuq3jAW/2x9eK6HZepagkxar8il7bSm8g3VxnEog2npeoKIP10w/kwG7FTO/4wMB2gpC8u0sCwTy7IwzcjYRRVMC9vOYGEhTBEZR9rflt7ZoI6is7P2fakkj44+CsBtG2/HsvT9K0R7x+eNcP6hovcz09N60FZGW8Kabe5cJJZyjdVHNlsr8A6/awjAAjsT36BhYGKSsazYcU3ZKayqhWEazY+3AZZpkU1nw88MdAxgTVsUvWLb50nXtghs2ySTypBOW1QqyddEJpXR94Qh4ttXpj4nVgplKCzTojPdyXxlHiWa3CvZ1VA+C2oe7FWcmD3B/rH97F69m+He1pIiQ+jeDqlUHtu2SdkpDPTxSqft+LhTKUzTxDQMLMtOBr+mocef8s9PugPKFggPzzT47vHvYhs2d2y5o/G7Uvj7nsEwbCxLb6LV4c9k/EJUM41lWvr3m3zBELqWI2Wb4b56eJiWGR7XlFnBEAbC6ogfa8vWAnrLIGWlsEwr9j39Gf/c2an4GKL3jw+GlnX/m4aupbHTIPQ1253rxjItHAmmaWKnGq9zy4rXgS3nsXPshMCTJh2daXbvtjHNyLE3wLb9Z2aL4x8Py/98KvHzgSmEZennQDod/a3oB4Pn/jJ3rM1wPAfDMDAw6Mh2sGAY2KbCVCamkQFsOrOdWKaFh4dlWS0Xq1/N5/9Stnte7kOlUom5ubnYn5WMm266iYMHD8ZeO3ToUNhMbXh4mKGhoRjtUq1WefTRR3nb2962omN5raNcrhWmnDlzZkVlWRejFufOaXoxWmNyIUe77kNQm1SWU0xb75QBLM2W1Gu0I4U6Z5ugWUyd+xCAaeiHc9x9KN59VEXfrCs0TnIeKrtlSk6JklNisjwRHsM3QqlA2+EtYkcaxHkUSy7XfQiaFBtHXFBiv4M+x2bdPNy0SVX0u3XuQ1CzJS1UC8m9BBLCcZQu0LV0wXOre6apK1KkUDdaTAot7pW0b01a0fK3oL/Copaq0kMFxbP+/WMKE6k0c9/oPqRfEMjmLmT1DjwBs+SVKbtlHM+h6BSTnceW2Lgs+n47hcZBXZRp+n0YAgeoSOG0iS6+96hjWSK2pGFBdtNC47pBr1SxcaTQOLhugmuj6uprzzQbr/MoKF1OsfG5czA2pn9v52VWeMxjVtXhPi/RfahJ4hwtKI66DzUtNH6V+xQExcO2aWMIQ5sHKP389ERWszH+PaSUWpqJxusYS34sFwoFPvaxj7F69Wo6Ojro7e2N/VnJ+MQnPsGTTz7JAw88wCuvvMJf/uVf8oUvfIGf+ZmfAbRs6OMf/zgPPPAAf/d3f8cLL7zAT/zET5DL5fjABz6womN5rSMKCgAOHDjwOo3k+zdc12V6Wtv2Vc/LhuH7J9p1H4Lz61WQBAqWZEua4DwE7XU0htq8k+w+lDDB19nrJfUoiDpMnJ4//YbqVTBdmubpU09TdFpoS71KzcavWTfjIM6jAdNy3YcgIZFREU/cSOIllUT605tJPFttp3lZvfsQ6Ak+sBhst19B1fFBqG952eqeCe6F5u5DRnhv5G0N2pRSyQAl6FfgNzELEpJWNqx6gw5SSRQC0wfchjCQnkDS6GJjmDVQ0NSVtAEUBL0KSjFQU0myKE1oXLaSoCDqPgTJLkKW0CsAbr1TUgQUCB+ANrUkrU+1VqyBmf49T6nw2RaAAs8ztIuSmYzWlmtLKiXs3w+Gclm9Gnr7as/wWKf7pboPJfV0iEQUSBtGi/kneO4rb/l+2QDOHEw+DU6yvX3UeQjAdVxMgmulA8fR11PgQJR4fb8BY8mg4JOf/CSPPPIIn//850mn0/zxH/8xv/Ebv8HatWv58z//8xUd3LXXXsvf/d3f8Vd/9Vfs3r2b3/qt3+IP/uAP+NEf/dHYeD7+8Y/z0Y9+lGuuuYZTp07x4IMP0tnZuaJjea2jFCxF+vHSSy+9TiP5/o3p6enwQXoRFOhYClOw4qBgKV2NExqXQX1H42A1rmZr2A5TIPzvxSf4SJ8CpZoyBUGcXTiL4a/QvRFAwcjMCGMLY5yeP938QyFLkG3qEx7GCjAF5wMKwmMaTaoiBc9SybCAsxkoaMYUSCXD54JVxz4stbNx0LjMMBSmMFszBQmr1EAsqQ7ujbSVDvcjEUSnevQ5lFVwFsKEZFGGQzoopYtfg+2bhomSomWfAvCWAQrKsbEnermrpYOC5XY0hmS2xvJXf11VzxTUkt7ge6o+CW3KFKxAr4JIUztX1nqsBB3iPWniKQ/TSD4xy7UlnZ2FYhEsy2PDBmL7Fut0n9DbZZEd0n+10aNAiBbzT/SePZ/jWzgBpTEoHEt8O9q4DEBVF/RPkkaJVDjeN1sDsyVbkn7lK1/hz//8z3n729/ORz7yEW655RYuueQSNm3axJe+9KVYwr4Scd9993Hfffc1fV8Iwac+9Sk+9alPrejvvt4RMAWbN2/m+PHjnDp1ipmZmVjjtotxfhFIhwA8T1tUWssx3P8+iteaKQjYgei/25MP+TOZ0UI+JKyacbas6iJhgs6sCaCAgEUwAdWkTwGgJOWy37GyCShwpYvjziDo05OD9MCZhVTvkt1gViKCsbVkYcIeBW04sJ3HSuf5gIKG1c2o5CtyXD3pofxzZtSBgsWal0UT5/rGZ13pLs4unF0yU2DZfsLWhnyokSmoJdXBvWEbNikzRdktU/WqjX0ThKGvtcokVKdCMNEOKJBKIoUZjifo25HYp0AsgykwMuHrjltb/EpMmqLyIf+Wf02ZAqUw/NVfKZrJh2TIFDSXfjVhCs5HPhR5PrnBYoc/ppSZwvOEBgUJ8iFYvnwouPeyaRfTIJaEJ8qHlswUtO5mnChVioYw9G8rzz++KZYVwcLTIkxBwAQoR4MCV+gF6eA4ZawMs8y+aUDBkpmCqakphod1oVJXV1eodb/55pv5zne+s7Kju4AjAAUDAwNs3LgRuCghWumIggK4yBbAa1dTECSn9fKM6HstI5QPJTMFQYFnfaOtYLJP1KMG7yXKh6KPShkyBc3kQwCzrr6+HAeYOwATj0OpxUr9qxjB2FrKR9w26wngvJiCpQDP+mhgCpIal6H3U2JgGEbDGBdjCoKVetMwGwoDg87G7YKCSlVvy7aCnhb+b7SQD0XHAMR042EXcNMOmbWmIDqUEE2Gq5qLggLlhixLkGCawmza0RhhYBiLgIJQAhSAAjNcKXciCVeyfMjft1dbPmQ0qSnwygih5VSebC4fCq6pBqaA2rmLxYrUFDSCguAa0qDAlw8twhQslckMPm+ZjfdePFFfIlOQ1OgtElGmoPG36mIlmJjgu07yvR52Mw6YAv9adtG9N4LjFLz/fQsKtmzZwrFjxwDYtWsXf/M3fwNoBuHiKvbKRSAfymazoQPTRQnRysbk5GTs/xdBwevMFCxFPtSk0LhBr143OaiwbmCJ8qHIRCU9SVCXnsQUDHVoV7RZ5xxSST05+AWfYeL9GkdbSWHAFLQDCl4npqApKKgvMpaelsBgNIyxqUzHj7CeoF7yQa3YeK4yl5AANobj6WsoAAUxzXVdRH8vBt6aMAWL1uCktZWqqkwuiSnwlIcSVpjoGsJoKh9CGD5BswSmAEIJkeevrkIT+VAwXsNesnzIlUHivTgoMK0mTIFXRBgKR2WAuh9OAAWtisTjg1wJ+VDttxJBgTT1OVukpmCp015w7dpmHdijvqZgiUxByOi1xxQ0LTSGlQFd0j8w0gGvMaEP5UM+UxAwCgFT8GaVDy0ZFHz4wx9m//79gPb7D2oLPvGJT/BLv/RLKz7ACzUCpiCTybBz504ARkdHV9zh6UKOeqbgogPR61xTsBT5UJNC4wZnm3pQEMiH/LHHJ5QgMUiqKSAEBpVKjW2IuKGGD/21nWtJW2mUqDJfmcepSnD95KduknJdePJJwZkzr17TRFe64fFuCxQsRT70OrkPhYmMTE66dGIbMAXxC3QxpiDp2gwiZ+ewDAupJAvVhYb36yOUD9UxBUmgQAjRpAi6kSlImamQWWsKon2pmuvMYfgJTqviav1TDgoVkw8JasxZ4zkzMAQI1U5NQeR4+qDAdSOgIIkpWEZNgRne2+24D+m/m9YUeCWEkLikkbIuWW2HKWhWU7AShcaRlfX6a7bGFLhNawrOSz6kFJYV/H7tvJ5XTcFKMgUJJhNLDhk5MAkSovpC4+AZb6TiTEHwfiLofQPGkgXUn/jEJ8J/33777bz88ss888wzbN26lSsX63Z0MdqOKFPQ1dXFhg0bGB0d5eWXX+a66657nUf35g+lVAgKhNB62YtMwevrPrQ0+VAgMG4hH4IaaFBx+ZBpBJN45Msq/mVVp0XXOlVJqah3OJOJlwcEoCBrZxnqGOKIPcnUzBReRUBHoFGOJwGTk9reb3z81QMF0cmoJSho144UVkQ+tKJMQb18KMoULFU+pGryofoQQtCV7mKqNMVcZY7OdGtDiwAUpGy/aHeRe8Y0TKQn4+dJNjIFQTEptADRhgV2F051jJRbpJzqb6+mQEqUZdWYC2UAEkVCkythagm3t1ymoECwMrxoTcESQYG7EjUFbhGEwlFp/zhEIgEUNHUfejVrCiJWtXFQYPruQysvHxK4kWfsCtUULFJoHJyr9uRDK2BLGgXbzhxkVsXejhUaSy9cVLGynTDvH1fpkqucZWBuP7ZzGtZdu/zxvEZxXn0KADZu3Mj9999/ERCscESZAuCihGiFo1AoUC6XEULQ16e1txdBwevbp2BZ8qFWNQXQVD4k6j6v3/STQX+VSUVs/vSXfKagrL8UlQ4BlBwN5DNWhrWdazFMyXRpGq88Exlg/GAV/MV51z3vR3HTiCZbTVeKpVs7povZkcIbr9C4Xj6kPBSmZgrq5UNtFhonMQVQkxDNVhZ3IHJd38XIXJwpiP5mknxIUjt/KTPVnoVvqh9XOtieL22QbmvZk6oxBaF8SPnMWUKfgkXlQ0olr5b7xcYyIqdrKR9aTk2BF1AGyQdbRtxsm9cUlEAoqmSWCQqa2GyuhHyIRZgCKfCQGK8CUyDw9LUsRCyJT7QkXWqfgibyoeCeWbTQGGrHd7mgS8k4mHGbMAVKkXFnYfzb5BYeZcj5/+iwtc254wAv/DarHr6eGw//X6wZ/YvljeU1jiUzBb/5m7/Z8v1f//VfX/ZgLkYt6kHBzp07+eY3v8nx48dZWFigo6Pj9Rzemz6CeoKenh7y+TyTk5MX5UO8QfoULDZRSjeSDCb3KQgThyaFxqbZ3H0ouvwvlaytmNaBgmiRseM54bYzVoaslSWbtnCly3zhVOQn4pNU0c+JPE80X2k9z6h3RUqMgCUwUrUJtVW8USxJQ6YgvjFdLGtgqOUXGi8GCuYrya4k0QiZgpT+zcVAQXCtxc+T9F+rXayWYS0uHwJI9+FIh1QkqfGUhyWaTP3SwVMSJawaU+Inw0rIRuOsxQqNk3p9QI0pcAtgamaqpXxoCUxBaEmqWq9UR59brZgCgcRVaZRsAgqkhyHS8e+F429WU7CSTEETUOBaeNLDNFa2T0HAFJgmDQxdcH1LCQpTp/dtMwUrKR86T6YgKh1yi1CJSI1PfR11+P/mxqn9ZKvjWHv0dbvWf9vhxzjFkB5vxzDKSFOwByjavSilWnY1fiPEkkHB3/3d38X+7zgOIyMjWJbF1q1bL4KCFYqofAh08rp27VpOnz7Nyy+/zDXXXPN6Du9NH4F0qL+/P3ztIlPw+tYUtC0fCh7YwmxcIW6oKYh3Na63JE1iCoxIUiyVxAwLDPVGyz4oSEdIivrulgBrugc4TIG5uZNAzYYxGgFTAHrSS8eJjxWJtkDBUoqM4byYgpV1H0rQqxORDyXUFJxPoTHUCgvbqX0JQEE77kMQYQpkI1Pg+H/bpo0QYnH5EECqD8dzsbwSQrkoYfmONMlTv5RVUAopjHD/g5oCRELWLwwErUCBF/tsGGaEKfA3X/WqjUlThCloV3YWvK8w8SSYi4ACIWqyqIbOxJ4vHyKDalVTYCzCFDSTD61ETQFNQIESr0qfggAUaKYgfjKi58aThk4w264paK/QOLiHQvC3EkxBeQKm98LCCBRGYO4QzDwP5bOaJbjit2HwDr1gVBlHnP4qgXBQIRCZIQpuH/NqK2ZWKw8cB9j8Adj8Y3z7lW+glGKtV60VJr9BY8mgYO/evQ2vzc3N8RM/8RP80A/90IoM6mI0MgWgJUSnT5/mpZdeuggKzjMCUDAwMBAWb18EBa8zU9CufKhJ4zJoIR9qqCkQoEisKTAiY0rqauxU9A4ngYKsVaMP1vWsBkZYKJ5BsVl7mTeRD4GenPNt5ORzc/DUU7BjB7p50CKxNFDQZm1DmBC9PkyB6+pzbdTbXQa/oXxQoMyGY34+hcawOKiIRj0oaOU+BE2kTf443bqGam3Jh8w0Vf9ztjtP1e7FlS5pkhMT6a/WR92HQtlMIigw/XutSaFxyOTE+0jUmIIiL73Yi21Ltl0+S7U+afLv2+XUFChMfX8vAgqipSMxFyGlfPmQxElkCmrNyxavKWhSaKzOQz60KFNgvip9ClxXy4diDSL9iM4bnjSXBgraZArq5UOJ11200FhJKJ2pJfzB39s/Bn1v1Z879VV46iPNh1Ye1wDRysOqWyi95ffZX5jDy23kph3/Gmae5+jTZxivXMYl/VvglA8KDBuBrjsou2XKbvn7DxQkRVdXF7/5m7/Jfffdxwc/+MGV2OQFHa7r4vhLYfWg4Fvf+hbHjh2jWCySy716xYnf7xHIhwYGBkLZ0EX50GvYpyCwVjQbm5dJJX3au8kgvGTnoUiDz/YsSRtAQW2lyhCGlqBEi439yapaaWQKSm6tniCIoe5+0sYhXKfCQnWBzlRnLIlWCqKNy9udnMfHoVyGsbH2QEFUltG0T8FymYLXyX0I9HWXamVJiuGf5zqmoH41uH58LQqNoZZ4LVq0C7ievn5Stt7WsuRDIVPgAwz/mm5LPgSUDT1PpCKgoFkEoCDWvCxIE0TikiwIzRQklio0S4p9UFAtVViYsQGBlLNUvEo8aQpBn932dSMEfs9C3V+hFShQqLDzuEDEAZ9XBqVQQuHSotAY2QJoNutTEDyXVqBPQRNQ4HoGnrc4UyClPhbtgnTHAaGS5UNBp2HP00wB0L586Hzch6rTOtnPrYfMav08mNoDz/6s7kosE+b2gZtqoKBrO3TvgvwwdGzRdr5eFbq2QWZIzx/OnH4+dm5lftMHmDj5lO5wbqbBnUdKcOkMa81cVz/jhdDsYgAKuulu73i8TrFi7VtnZmaYnW2v9fvFaB0BSyCEiIGCvr4+hoaGGBsb4+WXX+bqq69+vYb4po+ofGhiYgK4MJmCucocp+ZOkbEyDPcOv+5MQeAE5UinOSgI5ENNiowhMv46a7pYTYFMlg/hF1lKJRN7FVSrzeVDUVCQThmszphITzBVmm4ABeVy/Pfb1fYGl2m7n68vNE7UtS6lcRmcV1LTtvuQM6f7O+Q3h6vMQuikwHX1/qeayYeUhxSGTtaa1BQst9B4KaDAcQJQEK8pWJp8KKgp8OsTfDDQlnwIKBmavUp5C4uOW/n3logA7nCFvIl8qHVNQXIhOEYaBbiuh0UVYXbguYYuNo7e1gk1Be00nTdNvVKtQYGsZWeRcF19nA1TYRlWzBJWKqlZAkCaaUCcX6Hxq1lT0Ew+5Ok+BSIRzOnjGDR8d5ylgQIjlA81nowAFLhBofcKyocycpTeiX+E+RF6pka4tXCU/MIIjPq55/V/DFv/jX4+GRYUjvubNCG3QSf8HcM6+e+POAGtugne/WLt/4XjMP0cZIf0tgqj+nmUXQPUOQ8pCW5BGxCJzti84Lp6IePN1NV4yaDgD//wD2P/V0px5swZ/uIv/oJ77rlnxQZ2IUcACtLpdMPkvWvXLsbGxjhw4MBFULDMcF2X6WntEDAwMEDKXzK5EEFB0SnyytQr9GZ7Ge4dfl1rCkCvgla9Ko7nxBLsWISNy+JMQSDFEWLxPgXBbZVcaGyE912ifKhNUGBZsDpjsjAnOFutsBGFiCRkUekQtJ/kB59bDigAfeyjDA0A3hJ6FEAkqVn6yW/7Gpt5QYMCqyNmB2jberKtViHfpNA4rClIKDQOVoOXKx9aElNQ5z7UrnyoJVPgn7u25ENAUWQxAcsrgPLaYgpE5N5qXVNg6ntJLQIKGuQzAleYSCmwqJKysniuiF+r0qvdoEtwHwJ9/7vU6hBQXiNw9EAiMY3aOY2xSH7xvfSPRTt9CpZsSSrd+odQ+xHZdv01axs2nmeAAYrm10cqBZWKvpfq3dSaheNAOpAPJdTdWJbenudF9ll6cZ1WfUgPSie1jn96H4x+Wa/8LxyFS38eNv0wrgsd8hADxz4GaOwYWxbKrCbaAZuOrXD178P692hA0OR+ToyAfTNSYPvVA5FeBWE3YyutWValcKWFNDKkUvr6kzIOCqBJMf0bLJYMCn7/938/9n/DMFi1ahUf+tCH+JVf+ZUVG9iFHEGRcSbhLt21axePPPIIR48epVQqhYXIF6P9mJ6eRilFOp2mo6ODtJ/dXYjyoWDVseJWklfaW8Riq56toikoMH1Q0Gr1M0wE44ntyIj+e2gosijYpKbAMv1JPMYU1Fbekid5AwVUqx6IxUGBbUNvSlIUBnNeikK1QEe6NjHWg4J2Men5MAWgV8htIsdOyVrHzrblQ69BTUEwJrcAxEFBqeTvv1lbSY59VfnyoQRL0uQGYZHvysCaNnmApmHqJBhauol4Hngq2X1IKb8mou4+S7Yk1dtw/HHVy4dc6erGYk1kF2UMMoaNqVxsr7AIKNAXlxFl4VrWFGhLUtG0pqAJKCBI2gVp08UybVxXxJOm6LUlzKUvWAgjDgpoBAUBUxBKpaIsks+eeT5rolQTUCCXwxRE77/zsM2ERFCglED497ik+bxm2zVQ0E5In10NC40TEu1wsShag6E8KE/rJL8wAl07ofcK/d7E4/Dw7c2dggbfAZt+GM+DBWM7pf73kB0YpmRt4bmjw3iZYd521+b4s8uw9f97r9TMwFIjZKNtsAJQMBe+HWtc5oOFquwEQ+9/cFwdR7vUvZm6Gi8ZFIwEM+/FeNUiYAqSEv6BgQFWr17N+Pg4X/rSl7jmmmvYtWtXuNp9MRaPaJGxEOKCZgrSfrFuxavEkvulMAVLrSlQSjW1fUyZKQoUWuukE3Tk1SqcPKn/vWVL5LPN+hQkMQWRlbfESV4Yel+VBJHczTgKCgwDMsYC+VSeEjmmylN0pDr87xuhHWkQr4Z8yJVueKwDSVRDUugWfXmFmVi8nRgimt0usgpYF21L1ILz7MUn0piVopGcdMably2tpmBRpsArsXpuD8X0UDLrEmzHBRn0FbD0b0bvK9eNX0PQpIi5CVMQHZ/jOU0LGCteBdPsJKcKpNz55nUl0kP6x1xEklbhW3sqkmsK2pIPJYACR5h4riBleFhmqiYfCr8buc+FaCg0bRVhEaoyAS+R0dKgzcMwVHgs4/IhnymwgoWFJcqHoj0a6vsUCEP/UfI8JEQ1wOH6mvkQVHpgmCldN4WTKJ+CpduSBp8zguZl0fPq/4ZpaplP9uXPQfFJKI9pxi/SvZrd/1cNFASafWFBepVO4nt2a6lPfhj6tCLCdaFsbGDuLX9PdhC8BRg/AbagMZM93z4QMsoUaAtivGL4rIvJh9wFPAmu0Dbx9aAg/Bzfp6DgYrz6keQ8FI1bb72VL3/5y5w8eZKTJ0/y9a9/nd27d3PVVVexfv36N7wP7usd9XakFzQo8BMJT3pUXZfgkfBq1hREk9Ik+RAsIokIHvSRxOX4cZ1sdneD34tOR1hT4OrV3dBhKMGSNCIfagYKtB2fxLbjxygJFCAdUmaRjlQHk7KDqdIIG7s26rGYqZApWKoLSPC5aCFbs4hapVqGRckpNYKCpXQyDiJ63pRL6CvZRrS94huM0yvFXo7Zkto1y8rYbwTuQ8uoKQhebwYKDGcWgSLlzDayLtHteOjmUaYKO2hHCzETQUEL+VBQUxDcI4EtqeM5ONJJdBSSSur3rTxp5WLJcnOmQDm6YR9CJ5Th64szBSwLFFgoKUgLF8O08eqZAhk/t0vphB3cm1JZLAoKzBooCEGZ52qbSsD1JXVN+xQ0BQWN9Ujx71ugqssvNm7BFHievk6EVHjKRT/bmoOCtp490sOdOcaAO8IATyBGnteJfnVKS322fRSu+BSmCQYV8qP/tXEb2bU62c+uq72W3wzvOQ7VGa3l79wG3Tsavvra9ikI5piUXigxUhoouAuQ6g6v07SVBmdKS4VEZziuYIwBKAjmhXYcy17vWDIoKBQKfOYzn+Hhhx9mfHwcWfckOHr06IoN7kKN+h4F9bF79242btzI/v372bt3L1NTU+zZs4c9e/YwMDDAHXfcwc6dO1/LIb+pIsoUAKF86EIEBZahmxR50qNUrQBW264wofVfVApROK4T8dzapt8LJjAjknwH0VbxZEKycOyYfinGEkCcppduWFNgGgnNyxZlCkxcv5tnVDoklQxXjmKgwJnXq2apfjxlUPEcFpwFOpQL1EBBt29G0S7jEr1MA81qswi1r2atPqmRKVii81AQhuWDLReaWFwmRVsuMtGOonVMQQwURJLOYrHGFrl5v3kZZm3FNujQ26YladNCd+ViCgNPVVtKcTRoU5gReQrohCEABfWRKB/yV4SrkT4FQdiGBgXNmLXgdWlkSFPGdBNAYfgzrt+4zIhJp4KaApVUsOpbki5HPuQoQ8uHDBcMG8814iupdYzgcuqdZNjArHGfPQ/dpdluZAoMdw4sBYZF1Q5AwVJrChrrkWJhWDrRXK4taYtCY9cF00ghhPLtVWUiMIktSCilV/UXtG1nZe4gZ63VDF76b3Xyu3CU/MPbuTH48mjdxhZ07mdZUBIbmVv3i3TlSpAewFlzL694Nmt7tmjHnthxMCG/ERy/WLiFHA+SLUkbFkdC2ahsuu8tI8oUgGYLKue0hCjVHXuuUlzwnYc69L0g4tbJAKvyq3j39nc3lfi9kWLJoOAnf/InefTRR/ngBz/ImjVrLq5KvwqxGFMA2gb2lltu4eabb+bEiRPs3buXF198kXPnzvHQQw9dBAUtImpHCjWm4EKsKQD9YCvKIsVqBci37UIRa1TjgeHOaMcGYWjXhmbWci3kGcEqaFvyIR8UnDmjnXzSaVhbj0WEiCSvTtySlCXWFPhMAcgYKAgAgSGMUOcNgDOLZYI0eulLp1FVk7MLZ+nwE6VAPtTTo8dUrbb3LI1S/Y7TGhREwUpw3BtWq0LnoSVaHAsLcJe80tnWim90m02YAl3M6DIzCUeOWZydrn3mjJOlbziFmQ+WjN2wML3d5mXNmIJAQ254Lm4LRkvLhySGJWNJdqsVzpbyIS9eUwA+QHCaM2vBfWTanZjePKasLMIUyHiPAmizpmB5TIH0IG14SNOm4Iq4fKgO/C/FyjY8xgEoSDjXrqvBl2mphkJjszKui9szg2BozfiSC43DfRfJie75NjBrwRQEoMCQwbXhr35UZ7U9Z2Y1AFnjHNcVP0TPcyOw51jsXksDou92Tq55F1v7tkJ+E9LMU1AbkFY/3QPd0HOFdvEJrDzRx16JFJMb/zNdmYfAKzMmcrwyO8KC53LtuojrT9L+1Eut/GjGFIC+NmKuVFHmMHLvtx0NoKBTgwK/M3hNPpQCV4MCT3SGY6pvsvhmAANBLBkUfOMb3+BrX/saN91006sxnotBe6AgCCEEmzZtYtOmTdxwww380R/9Ucg0XIzGUEpdlA/VRdpKU3SKlP39bxcUGEbNZcHzwC77S0dB4WqTJLNV0tVWV2Pl4kgH2/9+QE5u3twkYTBsPTFIJ2ZJqmjuPtSs0NhxQSiZWGScturcwpw5TAsc0c26/BDzjslkcZLV5WlSsjOc5AKmoB1dr+PEx7zYd6KypuDfK8oUeCxJEx2s6sEi11l09bQJU3DmDBSPuCgPzpkWCBgYgNlZmD0nOP1sP1e/ZYpVuWCM+tqKTtBJBbqLFRprpsBE4OB5zTXC2gdfu9vUMwXQmimIy4f8QuO6mgKI3C9NmLUgeTHtTgzPwJAObjMHFOkgkbEeBRCpKUhkChYBBbI5KKhiID1B2nBwfaYgsdBYnAdTIGuJe32ETIGhwnMdXAup6jlglZa7iJf0exjx4vCE5mUQuaZaACK9wcW77pbdcnMXNn/7koiBgmGBV8U4+89caTzLoPEg3Ufn4NgXoHBMS32GPwQ3/ikAZrqT1d43EF7t2Ud2PXQMM2F0ci5zCZlggcZMceamefbsFWzqfJorLhmDnsuhY3NsWDHQ6+97xdELD63dd4IxLK2jMdTLQGlYDAru/bYjWmgMtboCZw5P1hy80ni+LNXEI4vfjqRBPvRmiiWDgt7eXvpiot2LsdKxmHyoWQTNzCqVSktXjAs5CoUC5XIZIUQICi5k+RDUiqBKTuA80v53TdO3XnMkFE/V3nCLywIF7ciHJgtnOTL+HP32Bvoyq5mZ0WPetKnJF4QNlEA6oXzIMITOZ5vIhwSBvCjevCyJKUisJ4CQKXDpImd2Y+VXMTd/kiOTB9nUvRHQzhTBttq5/Oo/sxRQEBz3xpqCJdqRBrGMlc62Ha7qNfXSCSfoQAddKkGn55FJw7Zhk/Wb9fEsleDo16vMjRsceSWL7cL61V6oqI4mvEmgYFGmQLm1zsNOIfkzBCvRmimI/kYr167kjsb631WZwBQsUoMTMAUpO4/h6AtNNRuzdJBSMwVRQBTIZkQSU+AXGi+npqCKgZQGtnAQhq4pcDwnklTX5ENKLQ0UBNdWyBQsoabAchfALekxp1eB3/xLCFEHCoJtyyagoPXK92INAA9NHuLguYNcu+5ahjqGwt+idFpLfCYe0xaezjxbRT9Hht6nrx9ZpevZe3h78LP17aMqk+E/7UyafZk/I9c3xKVv3aKtO32geejE40yVptgcuRddT18LVlDg38J9yHUJgZPjg4HWDHCN+aiPwPUouv3AejpYlGqIkMlcYmauVLymAGK2pAGwMYSBLfXz1RMdYZE1NMqH3kyxZFDwW7/1W/z6r/86f/Znf3axo+6rFEthCqIRfF5KieM4Fx2JEiKQDvX09GD5s/MFLx/yi411TcHSQYHjgCyOxR++QfFqQiR1Mw6iHfnQbFEzPcfmTzF16q2Awbp1cYvQWEScKEKmwAcFcflQAACMZIeaSKHxoqBASXDmMUxwRTeOAxu7t/DC/EnGF05ju7NAN7nc0hxA6j/TLihIW+mw63I84VRLb1wWxDK6GrftcFU/kXul8DyuWgU9PZDPKS7JenR2gVhjhbXO2SzsunoG+YKEos2ZM3D6KZcrr9Ve7NEEzpNeQ/K/WKEx0q3JfNzm17nr6uvHNFWifCgpYUiWDwVMgQcY8ZoCs/X9EiQwKTOFYXf4w19I/Gxwf8igQDv8/TaZAi+hmLUFKKgooeVDQiEMkH6zq4pbIWtnY4YC0ft0eTUFzUGBXec+lHGm9eJBdlDr3UUcFNT2vVE+BJGFhEU69IYJdfRaV0p35y2MUBzbC9Ygs+VZhnID8PXdGgzI+Lk2gNUduxlZ8349DjNDuecdjM/YVCjQPdTH6q0f0DagHcO1BBf97Dlpf5A+Gy7tjG02vKaiiwjB88a2kgv8oQ70LgcUJICoZs+NYFEqERQYtmYZlyrPip6PYO4IbEm9MlUfVOsiYy0n8vwi42Df6+VDb6ZYMij43Oc+x5EjRxgcHGTz5s3YdYLWPXv2rNjgLtRo1aegVdh2rSNspVK5CAoSor7IGGqgwHVdn05+8+j/ViJCpmCJ8qHoZ1XhpGZogxaZXnMJ2/nKh4pV/SCeLUhOj8zSk+ltLDCORqRXQX1NQVw+VJvEA6agvtDYSSg0DhLvrBVh9twFUBLTsvDI4rqQS3fSn+tnVnm8cGqEHG8hn49PIIu5CZ0PU5AoTfHKtUI8c4k9T5bRlbVtXXj9Nr1ySOHncnDLLWhpyum6sQRfx2PT9gW2Fg2mT8C5KZfvfAduugny+Zo9a32xcdQut1WhcSgvawF+PU9vzzBUIlOQCArq3Yf8ImmFoup5YBgxpmAx+VCQhKWtNIalQYFyWoACfKYguu8tawrMmtOPXBoocPyGT1lhYlDBUDXbRg0Kaonncu2SvUXkQ570SJvxmoK0M6X7S2R091qFRBgKgYgnnxFQEGXlQ0eqxeRDwoLTX8NwilxXPoT14K9D8Vjoh7+h83JGt/+OPoeGpV+XVb293EZdF2B3U+nYxhHVF3ueju9+mG8/OU1OfZFdvS6r174bfFAYjVbOZ61AgWU237ck+ZDjP4ccz2mhYmguHwrulUCyGv0tx2kBCmDphdyhdMiqATrD0sy3W8StTAH+ApYPsB1qdqRwgYGC9773va/CMC5GNFr1KWgVQgjS6TTlcplKpUJnZ+fiX7rAor6eAGryIdASoqWCsTd7BExB2VkeKDBUBcrjGhTk1uuW8K1WUM9DPqSkR9nXwI+f7qRYOMfWdb10dbUYZDA5eNVYTQHUMwWLuQ8tgSnwJ3Yj3QVC6MlBWKzvWs/xuVnOTM2yypsjn++KFQo7TqNNZTSWCgqiTXaSQYEP3sxsazSSFOchH1rcjjSBKaiPUHMuGlZjg9X+Vass1nS67DnmMVWCEydg506d/EmvERREWZSWTEEg82mHKbAa3YeC9+ujwX3IH58nvXAf692HoDmIjvqpB0yBagZklF4UkcKMuw+16lMQWpLi92SoQ3tNOk6DvserMo1hGJiqhCFrPVPi37ViYLKdy7RdpkDW9ylwF7BkBSUEKr0KgS8HMnwgmcQUQFh8LpVEeY528ZneB2cf0VabR/5EN+3KbYSb/9rfGRtO/A1mdZo1EJP5yMwgFVPP3+Hq+m1fgVS/fsYalt5+YZRyei3jU6fJRa5X19XXkqGCZ2my01YrljJ4BieDgrgzVDQSQYFXIdD1O9KJGzIE0YIpqC8yTvyt+lhuIXd9kXEQVqcPCrSjQcpMhYXHUTvS6DgvCPnQf/pP/+nVGMfFiMRy5UNACAqCbVyMeNQ7DwGYpolpmnieR6VSufBAQdDAzHExWZp8yLIgo07ieQpSvVqDWxhdNlOwmHyo5MzrxEXC2JkOpDvD+k1VWhaSBb0KlBurKYD6moKafKhpoXG7NQUhKNBVxLrRlkXaTLOuY4inSxYnyye5PbcLwwDTVOHnVhIUtMUUAJjLuObPgylYFBQkMQUNnwlAXON1FDZsM1JkMy5r17pMHdEuVdC8V0FwbIQQzR1DokzBeciH2nIf8senOzSnMI24tGcx+VBYU2CmMH0JRCumQKFq/R2C3fU7+QpDNdZgREBBYlFBcHwT7nXHc6i6Gcy0iaKMoWrd1fV3a4nnUuoJIFJT0IIpCGo+Yu5D5bN6DFYPUhiY1NgeIXymQCmoTMD8URj/DqBgzTtDUJD++k4onWr4PQDyY7V/CwsG34En0rw4lmfXde/G6t4G+c2MlWZ49vSzQOTc9r01vi3/2eRGi4z98Dz9f4F/TTex323WpyBY0Yf48yJIcm2zBtjqI54QR+RDRo0FTgQFEaOH+mh2/mssVcLmls0U1NUTBGF3QflsyBSkDBscDRBc4qDggmIKgqhWq4l9CjZu3Hjeg7rQY7mFxqCBxOzs7AWrj18skuRDoCVEpVLpgiw2jjIFeZZeU5CVo/qhnN9QKy5uIatoVz6URDPPlfQDubrQS5pOvMw8Xu40sLn5IMOagghT4O/kUpgC5YMCIeKgINDqx0BBVS/7mRlNYQRMAcDm7vVUyxWqlQUKapxV9GJZvhd9VctbmsVSQIHjOWFymTbTyaBAngcoWMZK3JIbl4VfTACZsvkqdJDsm2YKZJFMSn82AAVB8t3AFDTptB0L5WL431eLuA8FTEG78qHGc+QnftIDIWLSIWjDfSjSZMkQgS66GVMQ1BTYcfchv1jDMJILs4UwAInntQAFTZmClLZ3pYyQqdqYnbmweZjuYaD/uVS75MXkQ5oFqDE5hg8KqmantivFRCrJ2+3/ybbyGPlvH4fysZpjF+iOvFf+dnhcVHatBg3Z9ZDqhvwmGLhR6/k7tta+Z9gw/CGUvYqRybPsXHNvmE3OVU6EH2vq2BOwSH7ybiUwBQJ9TUvpJpY7B8mrUv53AtecyPWUyBQYze+9OFOgf9X1KmDUmI88CQ+58F5sLh9aHlOwXPlQPSjo9Dc3C3SQEp6WMAoDV+Vi47mgQMGhQ4f4N//m3/DEE0/EXg8mcG+p7U0vRiyklGFCv1ymAC7cotlW4bou09Ma2UflQ6CP2wULCoIW7FWHPEuTD6WYxWUeKQ1t3xc82KNa9bpoRz4UfK6+GLlQmUUpmJ/uYyA/AKvOcnJulOHezc0HGSk0rtUU6Jea1RQkgQLHL4RsVlOQxBSYmQhT4E9SpjLpT63hTOUMJ4ovs0ndgGXVmIJWEU7Klp4oW30+2s3YNMzkItYgqTXabz4WxjIKjQMQtnhNQWS1TlabMAXNJQy1ztV6Yk/Zep+Dx2LIFNT514eNy5rpwMEvNG6fKYgmndBeTUEwNjPoZuyvotbfD227D5kpTGMRUOAXGte7DwU1BUKoxMJsYZqATF6NbgUKPIeKl8EUJkqVMZW+V+TCMSgf1tuzspBZg+dLa5YOCoJrtDEvsSsjbOAxthRfpOvAV6F0CjH7PFcVTlG1u5CXfTC8jrYYT7JGvgQhySIgtw7sbv3ckzX2aOFt/5vuzg3aJWhqr+53MHBD4yBbMG2z5ZqWqGlxbhtMgQpX6quJ7QVNs9Zhu1KpXZvR32wABUphmsGzcnH5kKc8ZCQxb15s3JwpWBYoCJ/7y5UP1Rlh+DVNsjoDZgeZ4BlldeD5Dl318qELAhR8+MMfxrIsvvrVr15sXvYqRDSZvwgKVjampqZQSpFOp+noiBddXcgORAFT4HgenvQwmhVYJkRGjbIAVK01+iGqlH6ot+hVEAUFjgPPPAPr1sHGjTpZCzosO9JpSILmy1MUCxbSzTPY1Y9aW2amXGS+Mk9nukkNTbDiIx2kn+AkMwWt+xRUq/o1y5RhUhtdjQ9BgVf2CwIFZkaPSYMCfVzLRZehjiGmqmMU5SxnFs6ETMFik0iAWXM5mJtr/floPQE08cB/o8qHgiTC7tQWii3lQ/GNSSVD8Cf8iT1dxxQ062q8qB2p/7uhO1UrmVwACpbRvAz8xlpB4id9UFCXqCzqPhSpKTBF4E7nglcBsy5NbOI+JKWWUwXyofoQwQp5UjO4FufIlS5VN40h0EyB10dn4ShG2YP+bbpxWN9VmilYqnxISNJyjExpH5x9Ck5/XV9LV302/MyOyX/FdZl/gUn0Hz9swKxUKHlVlH+8n+X9nEutZvNlW+lZN6xX/800nHlQH0tqDIq0u2rPQD2a5EG2ANVzlbnw382T6ODaaAQFrqvPmWXVNP3NYH8qpW18oyxlFGTWgwKBWzsPbViSutJFRFZfFgM5SUxBs/PfFlOw7ELj+pqCPAiB51UwRIWU8j9ndzT0ULigLEn37dvHs88+y44dO16N8VzwEUiHUqkU5lKWbP0IgMTFmoLGiNYT1IPZC7mBmWXoDqbSE7jSbf+6U5KMPMkCUDHW69eE0EWrbqFpr4Jo4jUxAefO6QkpUB7aho0nPapelZwd/36hMku5YJIy8wyut3G6VzO2MMbo3Ci7Vu1KHmdkclB+7UFQaJzYpyBSUxDUIABUfFCQStUSoyDxDlbjgVA6hNWBnfLpc5dwAi0XNQOyZXAQGOPg5EHMILlb5PIL3s/nFwcF9QxGMijwQfBrLB9q230oBAWt5EN1lqKR5NT0E9+0rT/rODrJTewHEPn/4vIh//pwm4OCwH3INGhbPhTUMgRJc2oRpqCVfCjYRvA5IQSeYWNKB+kuYDQBBcqIuw9JqcdvGI3HC0AEAHsJ8iHHc/A8cFQa03BBzbHOOE26PImTy0P3Ti218Z/TiUlhdUb3Rum5rPbas78AZ77B5vkRhlUFCsAZ/z3Dhis/rW1GgQXzMirlCaqdA6xaczUpwwS7m2fcPBO5rdyMCEHQAXEXpG5kTZ8BUVODVl2Nw3qKJs/TCIMZjYpbCe9d0NeQ4zUukATbT2IKQu2/rV+rus3zgSgoCKIVUyDw9DWcUOAP9ZakpgYFkULnRUHBEpiCsHakJVOwQqBAGGB14EoXyyuSlh0a71m1RpT18qHALnUZqdzrFksGBbt27Qp12Rdj5eN8iozhIlPQKprVE8DFBmZpK42UunmQ0a6UpHwWUzh4ZKiKVbXXrZwGBU1WUYNVKNuwKfhKhmiClDJTlN1ygyRCKkmpOq+7oJp50mkY6t7A2MIYJ+dOsnNgZzJzGetT4LuMJBYaRyxJRaMlacAUpOzaayUnoZ7Alw5hd8XtRtEa31JJz2CXDK5l2jxAoVpgXrUnH4qCgsU+H/Yo8JO/Fa8pWAZTsGT3ocAfXLr6TzRZV01AgZ8sCSEw/HNvm17Y6KhSWZwpaGpHKj0tnwj7WDiN4/KjUvWLnU3ZtnwI9HmqelUf3ERqCkhgCvz/K6V0shIZR8ASGEL3NlBK4RkZTOngVudIpeMSSpTry4fi7kOeF4CCZKYgsHBWrQqN60GBdPBcAyWyCLGALQpkjTKusjmX3Qadl9Q+PPE9Mif2srM8Qu+5EfjGUe3X78zoxO2Hi7XEu3QK5l5GoGuAquZa0h29uutu/3U64TN0rd7z+S/y+PjTXLZrgvdcdj2cewKEYLZk4XqOlr34+yt8W9nGzrmBzVESKFgeUxCwBPlUnopb0YyKV00ABa3lQwC2FcjLmucDSc0T6xP34NqKMQUJ0iForClwpBOTljVvTBk8jJfOFLQsNF5un4J6UABgd+ljQclnCgTYnQ3jM82aO7fjfJ+Dgt/93d/lk5/8JA888ACXX355Q5+CrpbegBdjsVhuj4IgLoKC5pFkRxrEhSwfAp04SuniSKf9B1jxJKYBZbE+1FQCtc64TbTLUaag4NfrRZPbZrakC9UF/wFvYVk5LAtW51eTMlNU3AoTxQlW51c3/mBEPqSUvq9MI8GSlNbyoYqjD0zKqi1LJdcT+EyB3R2zG3WlhQ2US3r/uzstBvq3sf/MfmaVLqpcClMArenp+rElro6fj3zotSg0NjN6cpeOHqsRkf01WYkN+wwIMwZc0mm9IlouN2kSRnvdjINtK2Foow1ZSXbXcfT1ZFrtuw+Bf5684DwFq8F6W/WuLYEbkVQSx3Ni447WE4AGScrKgjuP5zddioVfc5MkHzKEgTBUw/GCGlOQKB+STUCB5yAdSYe5QDcvkJFnkXIaMXWCzqn/DdvfW1sxPvj79Jz43/QAOED0sWJ3Q3VSe/YD7PxFuOTfMl7cwr+8sIHB7nGu3boH0gOw6sb4GFwtMzPNmusQ6QFEtQh+Z+WAKbTMOGNR2/lWTIGMf6Y+jOT7JwAF3eluZtRMCAoainNDUJBcaAyQsgNQ0PzBEjgQRae++mevK10MLKQEKwQFyftVX1OgmYIlyIdWqqbgvOVDjc01sTp1rRsl3c3YzOqagrrnmhB6rI7z5pMQLRkU3HnnnQDccccdsdcvFhqvTCy3R0EQF0FB80iyIw3iQpYP7d8PP/0TVyFSZXrzGZ7YDpddBoOD+s+OHfrvWHgVKJ/FMKFkbIg/+IImWE2KMKOJl4+BY99vZks6X5lHKBdbZFDYWJZOVtZ1rWNkeoTR2dEmoKDmQqHCAtQ6psBvEuV/oWVNgR1hCloVGWN3hc12pATH06Cg6oOCfB46sxqgSsPv+LnI5ReAp6CZfKvPByvFTeVDweo7LLPQOEiIXg35kL+jwtLAQDqaeYo2YGomHwqchwwzBlwyGQ0KWjEFMUCROC7XH38KT9j6+145sRu048tpLIsYg9UOUwD+efK7CDsJq8FBhMyadMhSmzei3YyDEKYeZwMokB74zdzqm5cFNQWB+1B9CD8Tqnci1N15p6B0Rq/qb/7RMOFL7/tF7h/5c8ycC1FC0R+WWxjF6tik/7PqZgrzFc4uDGP1bmHjjmHt5JPf3NiQq/9a/fc4KAFuE/chpaDq1Jgcq+I7HWXXYi6M6GMka0xBU+vLduRDzaxtI1bJqNr1MVvRiwpd6S6KTpGiU2ySSDdnCkJQYFlIWjMFSbak9b/nSQ8nuHeVDwqSkmbqE3UD13MR0efoIjUSb5xC4+ZMQcqbxRJr/ew/n7jYYdv6ef1mKzZeMij453/+51djHBfDj/OVD12sKUgOpdRF+VCTOHECXtzXAX5Xxu/W3eK/93vwiU/of+/bBz/5k3Dl1lNcuVnh0MOByQ6Gh2FqCnbtgqGugClIlg8lMQVK1bSXzboaz1XmMJAYIoNSVrgKv6FrAyPTI4wtjCVrbyMPd+WvgDUyBREdUTOmIEE+1AAKpFuzK7S1m4pt60TU9fyagrLe/1yuxoooU0/arSYQz6tNfgFTIKW/kpuQdyxaUyADKx4rcaV70Wiy0tkq2pcPBWDF1qDAmW8sNm7SpyCW2EeStkAmUS6DmU6uKViUKZABKLCRRgpPVWt1GXVR9eVDthU/OYuBghiLYUSKSY3GmgLQr5XdckOyFe1mHITwwYus71XggzAvQT4UMgVCJdYUBPKhntK34NlndJOuBf+PGwEfg3dAbq3+HZHCxMVTFlVrE2VrmDk5zHTew+vtZ4dI15KTS3+OM+bPceAAbBiAjeuTj1s0asliMiiQsnZvZ8wqwpnTCV5mCEMc15+JdLy2rOUwBc2dl4DYPScijeFCpiDTzVRgwZyUSKvItUGyfChlpyg7KyMfCrB/yna0wKcJKAiubylBUqspSJkpql61BVOwfPlQMihYriVpc/mQsjq0GQf+8bbyIIyGQuPov7/vmYLbbrut6Xv79u07n7FcDM6vRwFcZAqaRaFQoFwuI4Sgr6+v4f0LWT503XXw3//8JI8+XqQwsYq+XC/lMpw9C2NjtQJggNFRePZZyBdGGT8Mz49u4HikxOj3fg8+8TMaFLxysMgPv7PGOAwOwurVcEYO0tVfYlemxhSAfniaZnP50Hx1HqE8LHI4WOFDtzvTTVe6i7nKHKfnT7OpZ1N8B4VRcwPxt2mIeqZAxj6fDAr0DNSSKQhYAjMDPripgQITqcCpuGDpxF74E5cwXF1Q2KrvQLB4LiC6ZuA4xCxS68cWJIVBoqeU34TqfOxIYVmWpEt2HzKsGvNUDzKbdMut9aIwY2MMjlm5DEamCVOwWKFxIB8y00hh43mlWl1GXVRdvzjYiic5sULMhAhW6TVTEJeIJDV9amZLGjBFse/40j4vmqxDCHakr38P5UPSxa6Ostn8FzYVnif30tegOqET/sIIvGtvKB/qrn4XDv7/Gnco1Qddl8a8/ac3fYgHy2/jxLFruHbTTiwLJiag2PM4ub4pNgs7JpZZbvOyZkyBblymX+uQc0C/7hZspmKN7WrXUpLckNqqdhIoaLHyHb7uvxeAAk96WiaJZgqCc9cSFLRiClI+KHAXZwpi8qG6a8mVbs0QzIqweAkRPUeerNUUdKQ6mCpNNbXPXXn5UISJWUq0YAocYaGEqechwwprnpoxBXABMAX1MTs7y5e+9CX++I//mP3791+UD51nXCw0fnUikA719PRg1T9ZuLDlQ4ODcO99DpXsGCwI7n97L5s3J3/2+uvh6/8whzk5x/S0wbdeXMfBw1AoaGnGpk2ESdzkeJm9exWNKz9vASD1GY/LfMOgI0fgmmtgzRrI9qzH6EizeX2Gqy7R47v8cr2CZisPS6SpREABwIbuDbw4/iKjc6ONoAD0A94ro/wHfoMlaSw5FImgoFwxSAF2q5qCiHQoiGByqLoWlUqtUC+dBqX0m6bl4SmPajV59Q1qK3mplAYGUXq6FSioZwoAnwI/j3oCiCTc0reiXdyeui35kFJxFiAYXwNTkNynIEj2DGE01BTA+RYa+0yBmcIzUniu15QpcFy9bduO72zMsjEhgvOk98MvQJcemI2FxtAcRIdMQcRlSNg61VZu0b/mBZTHYWY/jD/KwOQLnElvqO3/vv/AdWc+x3UpYMr/E42FkdDCeMq6mfU7OvwmXVsguw7mDmnrznX3xa6PcqqPWYYwjQyWVbtHDOnPX3XHdKmgYLE+BZ6nE3DDVOTcGaAfsmv0d8Mi8pq1rWkKkC3kQ1FL0nZrCsC/h6oYPoCYr86jlCJlpshYmfZAQQumIG2n/M8sXlOwGFMQ9CsLuxk3YQoMo1Zk68laTUEACpbTpyBpJT74rej78TcDUCC1PK4dq+1o9+cEUFCVDq6ZJSNLCARYml2vdx+CCxAUPPLII3zxi1/kb//2b9m0aRPve9/7+JM/+ZOVHNsFGRflQ69OtJIOwYUNCkCvJislcKXTMmFbvRre9fYxmAOyg9zm2Dz9NPT0wC23+B9SaRAGO3ZIvvHVEmfGc4yPa9bhzJjHgWNTzEymWTPUGW53YgJeeEH/0Z5/ccOC3/sDj0vuKZFSHuOnM3zm/7axe3R/g8FB6F+1kXNiju7+CqvvKrB9uE7jbVjggVC6ULnRkjSySiVqoEBF7IlqoKAVU1ArMg4inBxCUCDJ5zRYEkJgChPD9HCl23ICiYKCYLvNNKuOXygZHZsQIuwB4UqXVCAfWi4oqHcCEs0BTRBtyYeiK3uG3YIpSJZnJMqHZI0pqFQgv+xCY3/bZhopLJRSKLfUAHt10ql3NtVEPqRUsmtKTD4UuFL55zJJPtQscQz7VKiqZl4MG9PM0VM4SP7cP8LLn4HC8ZghwDpgpO+OGlPQMYwkxYxcSzk/QNeqnXT0XV5L/Lt2IiovAjBt3gxX/1htAG5Jb9+/p6KhLUkFlqFlgMExMX03/Yq7UqAgmSkIu00bLhnpX1fZIf3dSLfrUD7kg4Km8qFE96FFagogTFwF+rqLSoegdm4TuxqroN4kzm4F3YkB0qnFC42T5ENOyKjW7HFFPVPQBBSAPv6uC1IGfQoEHSmdQC+nT0FS0h39f6L7UKwBnwu0Awr8sQkjEUQ4noNrZLGI9FEh+fp8szYwWxIoOHnyJH/6p3/KF7/4RQqFAj/8wz+M4zh8+ctfZteuJh7hF2NJcVE+9OpEK+chuHCPm5SSiYkJUh0ppCfacx8Kkkm7E78Rb3yy9HsVdHcVuOfOEqRrvQaKToWHjz6JaZjsTt/L/v369Z074X/9Ly3tOHxilheOnqM004lcWM3Zs7BqjU5cMobJ3KzJ8VGL089FB2URMBDO74zxwK9qUPD00/DjPw53XpliwyC8XFqPk+/gsnVpCrP6d4GGCal1obH+vEI0NAhrxRQ4rhU2z8rnXHSbJL/HgaWlCo5Tt+ge+U8waQfba7USFe1mHHWSMYWJhwYF5+U8BHWyLLdlkhBEW8ldsOIdbL8ZU7CUQuO6moKuyGpw7LttFhqbZhrpryR6brFhIg16FEBNjx5EdN91k6n4d2PyIX94wWpwIlNg2KScaVLj34bJh2HhKBRGuGT6BXYVT5Ly5uHu78HADVimjeWVSM9Gbx6hE+JUH+PkcM1sbf+3/lv++cRPs//kEdasO8KN23fQ0bM59vthn4KGQuPmmnpHOkhXNyqMMgWm7w5WnwS3XYtC/HOtQIGnPEyztsIfrAxHu12vTKFxi0EH8kFfPhR0Mu5K6+dHIP1rXWgcdx+KjjGTChpTLk0+FPxezs6xUF3Q16J/W6bM4P5cHBR40vTlQlYICgKQ0Qi8m8uHmjEFreVDouZcJp3GZn1J0cqOFH1cHDOLFVhgtQAFb9YGZm2DgnvvvZfHHnuM++67j//23/4b99xzD6Zp8kd/9Eev5vguuLgoH3p14iJTkBynT5/mj//4j+le1Y3svRbXc9sABTXNZdOHctCrwC1CxA89uhJbjJgTdXfDtdfC0BBMFKo8efIlutJd3LZZuwkdn5niubOQs9KsXw+/8O8t+tfp4uazZ/WfE6fKHD9dITNwBtCrfidPwssvQ2fV5lg37D8xyOhkrUjiox+FD3wAUJJDh+Gz/9ng0AJ09fWj8rtZt8Zk/3bo74fZWZOB3hooqEg3dF1Lm2nflNoHBakaUxCuGLkG5YoByBgosISFaeqJMljls21g+jnt3DL4djDTiUwBtAYFMVck6jzwzxcUgE66VbVt3W578qE6eULIFDQrNG7PkjTKFER149Fo15LUMFIoP3GQCda7YTdjU2HV3VBC6OTB8yLnOhJx+ZAAJRHVKfrcedKj41A6qTX9uz4J3buwTZu104+zcfQLse3EfHmKo8ANWIbFVMcO+jJd9Kx/F/RfD/mNUB6D6ec4OHGY+eymmnzITCFVzZK0VZ8C6t9rBQp8piAtrBgoEFIf03Jds63l1hR40kSBdr9RMkw4Q/mQoRqkYtHkPqwpMJvVFLRhSdqsTwGEoNXwPxu1I4XmLJCW2EWkZYiakUDkVkzbOh9w27AkDYwMDEOFuv+snQ1BQWAIZgegoIU5gWUFdVQ+UyAMsna2qX1uuE/6oDRsbzGmoKlq3bB0ot+uLWkr5yH8/hpmDlPN+APIx37/gpIPPfjgg/zcz/0cP/3TP822bdtezTFd0LFSfQqq1SpSytoD+wKPmZkZgMQiY7hwQcHhw4cBGFo1xLGqwJMeCo+WVKvXBigIE7l4wtQMFEDt4Zk0Ec5XdWFk1kiTy8Fll1vcfV88uXSlxTcOP+T/+3Isw+LWW+Hhh6E6ZlOZgYcPvcJLo6Dm1nLimMXQUPBtyblzcHzU5LsvAGSBYQD+p/+Jn/opwZXvAkPAU09J/vWP2aS7b6J/lcPXtgjWDZV46zpJd4/BumtybNqsvxdbMaqYaFBQO2C2aSMMBYYXHgfbBioTepJyZsFcXTs+5wkKwvNwvoXG4E+67YOCtlZ8Q6Yg0JQEzk7VuDZ4kZoCzRQEn1WkUxIwfAlX65qCxdyHEBbCP7ZegvVuAApMUyWyDpYVBwW2WoDpvdC9Nfx8buxBOPL7qOIpbkxKatbcA927SJkppjLrKOWGyfZc5kt7htm/MM+02cOVW99Lb9fGcL+msxuZTw3T0/dW6PLncumgUEj/vk9qXibEIn0KlKxjuZqDgqpXxXMFpqmZggA4GyqNYuXkQwrT72DtjycCCqTSNQX15yfaz2Nl+hQsDgoEHkqpEBQETEFzUFC7bl0lQZgNoMCyIOUzDa7frdpIGItt12yTq1UwU7VrLegoHy00tqzWNQUQqZvxBK7yEELXSQT2uVWvStaOqCHqjB7qY1mFxuCzGaX2HdJa9ShAn4eqmccQXdpJK7hWEpiM73tQ8N3vfpcvfvGLXHPNNezYsYMPfvCD/MiP/MirObYLMlaqTwFotmC52wF4/vnncRyHq6++etnbCOLkyZMcPXqUm2+++TUHKkopZmc1Ldvd3Z34mQvVkjQABTu37+TY8xqQOqoC5Jp/KbKa0tR2LWxgFteBR7sZB6AgmJCCbSQVTgaTZUbo8yQMq2G12TKshpWo/n54xzuAmRQsQN/0YWZSBa5d1cfTj3fUVmmV5PLL4b/8F8HBWTh8Yo7njoxRnOlEFNZw8iQMDQksW6/0nzopGTmaAjTIfBzozZe4aTsUqxnu/2nBz/yM3vTzz8PP/qyufbh9p0V3h4P3PZc1G/VrYo1e0zX8ybZa9fsQBPvv/71STAGwMvIhYKkNzNqTD9UlHYatky/laacfIx//XEtL0tp7adsFUroA0mkiH4oCiqSIABHhd8b1vFJsFRoiTIElMaJJ58IInP46lxZHSFVHyH1nBLN0lHudWfgWcNNfY3Xo560HUDiGQLsClVOryPX6SX9+GHouB/S9NNF1FfuG7uLGDbUGXacOfx1PeqQyNabONEw8I4NUlThg95NGGaxc1zUva9mnwD9WQnltg4Kgo7EldE1BrdA4hcf5FxqHzwZhIKXANILidf1DWtoiMQ3VMB8lMQWWWWdMEO58FBSkwu8ttv+1H6vVFBSdoi7oFUYotWleaKx/QwMXfcBDhilyrKxIsa3jOTF72mikUlpWV62C5TMBlmGFcjVXunj1TMEi8iGAsqtNCITSlqTN7HPjreWby4fqz3/LQmNYui3pIkxB1auCMKkO3AR9u4F4bVBSTcH3rXzoxhtv5MYbb+S//tf/yl//9V/zxS9+kV/4hV9ASslDDz3Ehg0b6OzsXHxDF6NlnK98yLIsLMvCdd3zAgWe5/H3f//3eJ7H9u3b6ejoWPxLTaJSqfCXf/mXFItF1q1bx9atW5e9reVEqVQKk/1moOBCtCSdn5/n9OnTAFxyySWYzx8EPO293g4oMNP4C2jJ8iFoaGAWXYmd99/q7ITZ2Qgo8CeiQNNrCCMEBWn0eTITHKRAA4qKW2lo5FTrahx3H4paknZ2wJVXGlw5BBOFCk+ePOhLmNZw+rS2YrVSGhTc/naPv/n6GfYcPoVcGCBT2Ux5qkSXC8fHskQv8clJGB/Xf/pci84MfO+wy6RvFf+Lv9VPaiNgOBw4oCVNa9Yo7rvKobcHylmXdB8Ui1rGFNRBtCpka6h18CPW1fh8C40hJs9pJ4LJs7V8KMHy0MqCs0CsUVgz+VCMKRBh3YPAJZ1OaVlDdZmFxhEgYlpZlBBaS+8UwZkM/fnT4yPcIg+QtQ5SmvowrL9ef2/meXjmY4T+WHOR3U4PIrxyeI7munbDdV+g5JR5smLidF7C3VvvbhhSAKKjiZYnvXDfoomgZVh4RhpPFeP3pg8KlH8s65uXGcLAMJv0KTCDkynjPTMWlQ9lGmoKAvnQ+TIFQtQWG6QyATdWV+B5IJHJTEGk0LsmH4qPo/ZDLZiCUCO/eE2BgWSuWmMJgmZ30Z4tsZV+VQMFiFRoIgDxVXUhTEzDRKCoetVFQUGlAjJV64QdXUTwgu0ai8uHguNVcQJnJG3zvBjIARJdzBZjChILjWHptqSL1BREF7WCiF4TF5R8KIhcLsdHPvIRPvKRj3Dw4EH+5E/+hM985jP8h//wH7jrrrv4x3/8x1djnAB8+tOf5ld/9Vf5+Z//ef7gD/4A0KvAv/Ebv8EXvvAFpqenuf766/kf/+N/cNlll71q43i1Qil13kwB6FXvABQsNyqVSmgvOzExcV6g4Mknn6ToLwvPz88vezvLjYAl6OjoSLQjhQtTPvTKK68AsHbtWn1sRAoo4bLIdROtKYg8v4PmY0BTx5gg6RLKCgvburs1KAgenpZhIYRAKRVOHo6nG+ak/EeWYSWvUqXMFBW30jjp+EVmwmvSvKyO6q+f4IOxBvaSvT2Sy6+dJbPlDMO9GXavBuaKOsnL56C39tO33Qaf/ay2bO0oWsgK7LrZ5ZVTuhZi8xaH065mCiYndR3E2TMOg/48duC0w5Gz+t//5/8J73yn/vdzz2kGYvVq2Lw53g+ikMoxeGmO3avjSUBNYlAOE1xHZrDacxRtjNeCKQAwMsBC/HpqJh+qLxYO6x50sXGlAq7jF2U2KTRO1DtXzsH0Pph5AYw0lpFFChsxsx/+5cMx3XIe2AYg4FRxpLadrp2w/j2cmt3CVHWY9ZcO0zG0nm8+dpB3vvt+bNvGnNHNs6pmJ/RdgzP9EtIpJBYZQyRxjKyGBqDQEEZsX0JQ4HpxUKACpsCMsQSBdD2QD7WqKRA+KKh9eTGmIIudseOgQNXcdoJ6HWiuKW8VptkaFIQ1BXXjW7magjbchyLyofoiY4gnn7GVfv83pL+oUS/3Cvaf4Pwr2cIKNG5LqvzP2aYdAwVu+HxeXD4UTLMlvw2y7R+DljUSQdQdr6CxZXS7QbRVUwAryxQQ7/0RXJsBEA3iggEF0bj00kv57Gc/y6c//Wm+8pWv8MUvfnGlxtUQTz/9NF/4whe44oorYq9/9rOf5fd+7/f40z/9U7Zv385v//Zvc9ddd3Hw4ME3HXMR1AHA8pmC4LtBs67lRvS7586dY3h4eFnbKRaLPPHEE+H/S6VSi0+/OrGYdAji8qHoZPT9HIF0aPv27QCY+KBAtQBGfiMaAISNGXkIxkBBwBR4pZiDTgAK3EqtsVeAf2sPV4Ft2NrpwXNCKUyHlUFV9L+bMgVNGjkFD3mhAlBQxxSwNFCAkpQcv/4nWI0PElYzDugHBmDHDv3vHs+iKwVXvt0NyZjnzpT5Xw8BpsNVV8Hf/i2kDAfzHMzMwOExh+eOwaFDuo9DMIFPTtb+HDhQfyS28NOfWuC+6/XYvvMd+Ff/Crr6d5Hr2ciOjS537YSOTounRk1uvBHe977EQ9o6lsgULMl9KJqYJzkQNUk6Y83Lgu34dQ+ZDMzNgVMxwawrNFaqxhQUTsALf+yv/Gs3n2jzLQwLq/8HdAMzq0MDAsOG3CboGGaBYV44M8CEmeKSwWtZF3yvaxvc+veMPqlteHt7oKPbwfO76EKdxEsJXyJiJNqRQvI1n9TNONi2Zgo8v0bDDYsxNVNgNbAEAAYGhtHIrAAIsTRQIJXUTIan7XijNQXIwFZT4UgnTL6W6j4UfNZxCOskGkCBX1NQLx+K1RQEfQqaNi+LgAKjHhQsoaZAuWHdVGBHCvpZGO0EXDufAVMQdx6C+lV1/SwVtLACpc6W1L//6pmCcNFmKfKhABT4xzQJwEb3J2llotlKfPT/zUGBP8algoKEJoFQG3f0Xmz2TLsgLEmbhWmavPe97+W9733vSmyuIRYWFvjRH/1R/uf//J/89m//dvi6Uoo/+IM/4Nd+7de4//77AfizP/szBgcH+cu//Et+6qd+6lUZz6sVQSKui6+Wf2pWwoEoCgqCxl/Liccffzw2jjcqKAiYAtDAIJ3UDer7KDzP48iRIwCkh9L82sO/xnNH1lNxXIwXi+yY2khHqoN8Ks+l/ZeyrkunNa5bxPMqpKwswjAR1Gj62IPZSNfsKr2yln/QCApyuWTtpW36oEA6oXSoM5XFLZR1gpRKnmibNXLCSKFQiMB/26j1KVDKdyeBcJJvBgqsVC0JaNDtNwEFUXcZhaldcCIJSjDxCtMln4dLL4Xtmx0Y9z+Qd6AXHnlEN4kLLtU77oDPfU6Pv7e35sJ09iwcGJli7aYCGWsDAGfOBH9yQI4THeeYPwALlQzffkkzDgEoePRReP/748zD4KB2hhochJtugksu8ce2TKagLfehaNJRzzxFPPybWZKGK97B+26ZTnEU6Y7Qe3Y/Pep79LjT8NKCTvx3fRLXuBQAyyvCwf/aOLb0AKRXQXoVpmHiGCmcdB/c/QT0XRcWHp47BnvPnKRkHWU432hu0EpvHJN4KdPvbGw0ZQqCa96VbigxSexmjL7WlDBxA922VwSjC/zvKmHGVp1lmKuJpu5DGKZuWKW8OlDghu9HIwAvnica5EOea4RJcNkth+NfqnwIojaigcakkSlIJciHkmsKdCeBRvlQsEiwXEtSveMGktlKI1MAxEBBGKpNUBAwBbI9pqBSITSSSAQFSkWYgsXlQyVHkqEdpqC5U1N0JX7JoGDJ8qGgT0HzQmOI31fNrs3ve0vS1zN+5md+hne/+93ceeedMVAwMjLC2NgYd99d01mm02luu+02nnjiiaagoFKpxBLVuTmddDiOg/M6wLrgN+fm5vA8j2w2i3seV5Jpmniex8LCwrL3Z35+PpQPjY2NLWs78/PzfO9738PzPNatW8epU6eYm5t7zY/xuXPn8DyPjo6Opr+tlEJK3cGyUCi8psXQwZhey+MyMjJCsVgkn88zxRQPPPYAHLwPgIfEg2DVHtqfveOzfPz6jwPwzIkneODv309JwpNunrydxzjyLlKig9XHX+Kn3/ZjfPDyDwIwVZzjH176S85mHkZkBsjbeWbKMyxUF+goTDFY7GDVqjUopag4ktNTc2wtpshaWYQUuJ5LoVxgqjiF67nkRIpq1cX10ghcHEc17BeS8HtOLnI8pQDXRXkVXM9Fei6uq89xtaownArCc8H1UI6D67q4nouDfiYUCgLXBcOQuJ6LcioslBe0hasycRwHUZkHz0Upq2F5yHUDpgQs08WplsB3+RDSX4WkjOu6FIsKp1rU4wGUUwbHoVgUvq+9wnF0LcbwsKCnB26+OX4svv7Kd7X7jboMx3G46y546il45vBJDhyborcKG4TH4RMppizJ6tUKx9f/jo4KJiassKFcfXz+8y6bNunfe+Yp+O+fUcx6DgVLsno1DA6q8O+bblJEzeqqVeE3NVLNV9D8fVdS1Y6jMvXxqCygHAdktXZ8XAnCb/BQHsM+9zRDMy/SM/Mw7tq7dA2C56Km9rHrlXv19hLWJtzZw7hduhjEy27G2/4LkN+M6hhG5TdDbhNi6hlwZlB918LMaRwlqHgejtEJntR/0FKxqlOFjIv0ZMO9ra1nBaWSarj/pauvsXK1jJtSVJwKjmcjlEh+Rih9zQMUy0XSVppCpRC7NoMIty0NfR2XZ4EswinhuA6OBCsy3kpFj1NJhVSuHkv9GFwPKT08WaVScWoguFrW59FTsfuhWC3qe9Ax/TlGX0vBPWJ5Jq7nslBaIOsXc1cqbVw39YdF6e9UHEXWdvV95K9yl8vguA42Lsp/ZijH0YXJnj5GlWqFilXxj6OH67pUq8SfO570nxtVXPQzo+pU9fPA1UyMcj1Ck//68BTS9fBUhUK5gGmZZI1s7BgbSp+rQqVAV9D/xH9eVVwH17NA1q6fctk/ZwocT9uVSv/7zeYYIfR3CgWFW9bXDhKUp8JrsVp28VwXcHA9H/M0WYEPru+FUsXvAC9wqpXw+VysFONjcf37WaDPQySC/bEsGp752sFLn+fk+UDpa7BabGvJXlSL+lkhReLnixV97QopGo53KtU4hmBs1apqKs98Leb/pWz7DQ8K/vqv/5o9e/bw9NNPN7w3NjYGwODgYOz1wcFBjh8/3vD5ID796U/zG7/xGw2vP/jgg+RyLQosX+X41re+xeHDh+nq6uLrX//6srdz4MABTp48yT//8z8zOjq6rG2Mjo6G8pLTp0/T29u7yDca45lnnuHw4cMMDAzQ1dXF4cOHqVQqr7k057HHHmN0dJSurq6WoUeKqgAA3IJJREFUN8exY8eoVqt87Wtfo6urq+nnXq146KGHXrPf2rt3L4cPH2Z4eJiR/SPc23cfI7ldzMt5OjouxbagLMuUZZkzr5zh65P6enxl/nEAKgoKToGCU4DiSXCznDi5h+8+u4n+Ue12Ml94nK+c/ir7KnCyHuOO7+JmNYacvZZ8vsqTB1y+MPlpePwJBAJb2FjCIm/mMYTB5R2X8xND76F/doqRsTx/9vRXWb3vJBkjQ8bIkDbSZIwMC+4ClmFxqvMUhzKH8JTHpDNJTlisVy9yvHScQ3i4B2DfnjUAKHWWvDhHtzxKVXQzbU5T8ko8v/A8lrBwXnZ48cU+CgWbzNxeejtmmDbn+N78ETzlUXm5QtbMstp9BoHknFnFEzX5n+MY7N27CoDB9CtU1x7l2NQZFoyDAJyr6h4az7/4LNY5h2PHypwdGaFb6pqPqniFKeMMTz+tn3OeN4FtS+bnbQ4c6COT8ZibO1f7Pemwd36v/s+huJOMsE/TteEkw7ZgZ0rRu3Y99hqTUgm+8pWz2rHEsvj9388xM5NmZibN7Gza/3eGmZk0k5OH+PrXNXt44CmHubk0x895vDDaCKQ/+tF93H23fhY/99wADzxwPbmcw+rVRfr6yvT0VOjpqdDbW2bXrknWrSvQ7R0hIyeZN8cpGj6bpWbo8Q6hMJkxX8EjzYC3H1stsM77HfLyLDk1jkmVaDXZyPFDjFpvJ6VmKYghblM2U9W1zMoBJtMwzyq6s1dSFIPMnO7jmUPP6ON0SCDErf5WPOAIcIQB73lMVWLKXOBQeRJZPUg5JcgdrDBnHgl/9+TJDl44VoDeETKuzUgmUlcAHDvWyfh4jjNnCqxbpyvOg/t/wV3gpcJLpI006VyKuepxnq+myKYKnMmeaTjGAPvm9uEqN7wWz1TOMFoeZcAe4Fyudm0E2z5nTOJmzzFvjFM0hljl7qXizfFs2cAweigf0CxYpWKwf/8q5uUsJ+Qz9Fg9nM2fjf12Vk5w7pUpZiuTjFUnyeX0zd4hT5KXpykao8wbp8LPz7vzHCgc4PjLu6mkFY4zQSoleeYZfX3n5/ZTEFNMZacYSOm+Ms88sxopBY5zjnS62bJwPF58sZ9CwSI9v4++/DlmjRnKhmZtjh/v5KXjU+TOHeOFyigdZgdnfQ3+RHWCkdIIPVYPnVYno+VRMqWzlE845HIuc3M15txW8/R5B/BEhpe8IY6VjtFr9zKWG2PQfQaQTJgOUiQzz2k5TY88TFUK9u7bS8bIYByO30eHi4eZdqaZyEwwmB6M/e60W+GZSpouq4u5F/Ti5pkzeUZHOxgYKDF35hWqlYOcqFZ54ZU0h7OHE8cxPp7l2LEujhypYK/fx3h1nDPpM3Rb3eG16BzMYagK/dU92DactZovnJ082cHp03lUz2F2Dr3CpD3JyyNfY9yZYqQ0wmHrMGfytWvZUiX6veeR2ExYcTaqULB48cV+UimJlBOx91xXsGfPav9/ZxsYyKwcp0seoyKOMGMm3zvRGPD2Y6oKU2YRRzTWUT479yye8qi+XCXjSxrn5lK8/HIv2axLuVy7NqQkvKalHMeyEkBLJF7N+b9Y7//dIt7QoGB0dJSf//mf58EHH2ypsa9PMhfThP/Kr/wKv/ALvxD+f25ujg0bNnD33Xe/Lsmg4zg89NBDXHPNNYyOjrJ+/Xruvffe89re/v37eetb38pNN920rG3s3buXs2f1w18IwV133YVd32WnRUxPT7Nnzx62bdvGj//4jzM3N8fc3BzDw8PntW/LiTNnzpDJZLjnnnvYEYi7E+LQoUPMzc1x6623snbt2tdsfMH5X+oxPp84fvw427Zt4/7772f37t18xPkp/urvpzkyfYS77/lX3LTxxsTvycJl/Ltzb6FodjCd307BKfDYozbTcw6bdp/iuku2sr1f1yicOWngvHCaa2SWEWlTcAqcmT/DbGWWUvFyrhi8knvuuYVcDibVUfiurydGUVVVqqpKUeqH2S2Dt3DfHfcw8/LzlFJVnnryT2EiYRkbePcl7+anbvoprhy8kjMLZ9j0h9rr5d15MBF8u5IiY/cixu/j1o238mv3/Cts5wTOuQ5+59k/4ax5iHQqzXhmnKyVpXdVLxPdFqtXb+KGG6+jMz1FtftKDr88S9pMc9MlN9GTypOZ8HSB9Jp3xSQDUtYKFTtlnrdckqd73TB06/T15MxJjn7jKFdctZPc9DUMDsK1u9YhZnv0BlJ9VLrehlJ6G+9+t151mp+HfF6vUN19d23CmavMYZ4wSZkp7t4Sd6sZmRnhxYkX2SrK7Mpl6B7bgrlKj+POOxXtlTJdH/7r7W89wvvfeYCx+TKvTLqMjwvOnoXxccH4ONx//25uvVVvf3ZWUC5blMsWU1ONRgp/9Ecu996rEOPfZeSpb/PNvzrHmoEjbBs6yqb+I6ztfIWMtcDzlY9iXv2bbO+xwatiPfmH4TYUBpXUKubtATI9u9iw/gfZ0LEVymOo7t2cnv13PLvHxO6Yx1n3bbJWlquG7wCg6BRRxx7BFCbvuuRdiXsuzqbAK6NW3cLamZOMjWe51KywYfU1mj3w48UXoZIbwR7Icft167ik75LYdg4cgCNHBMPDiu3b4/f/XGWO3IkcaTPNjZ0Zjk9kgG42rr6GHQPJz6/MSIaiW+Sm9TfRm+3lpYmXGJwZZEvPFnat2hV+br4yT+5Ejr7qWa7pHdQMSPduxBmYKU4x52bpzK7mlo23AFquZtuCWWeS7t1FBrID3LD+hviPF0/ynLGfeXeAy269np4e//XZFxGFEVTHVl1g7cfZhbNkT+XJlrdw2arLeOc7FbatOz87DvTutJiWo+wc2MnW3q2+5aO+9u+6S9FK2el4DlWvSj6Vp6dHMDUFV2+XDHScRfVcCTktp9u3D+bSLzGwIcdVWwfoznSj1twLwuD0/Gn2jO2hP9vPqtwqXp58mS5vM3OrLyefh9tvjyR3zixiIg9mhjXZS9l/dj+rc6u5bt11iNM6uVWDdzXvpluZRJ7t4JtPP85Vb7mJ9T3reeuat8Y+sv/sfkbnRtnetz18tlI5h5jMc7ZSoOzmGcoPcc3aawDdrPGVVwSbNiku37qRsVGHjtICuaHruWroqsRhnDkDzz4r6OuDzHCG0wun2TWwi1W5VeRO5LBECjd/LZaa47orpzFTKdRQoxNWEIcPw8GDgkIuz9auA6zvXM/QJXdztjTD02eepifdw80bb44cxznERBrMDGrwzti2pqYgmxWNxx7fGcuXggbXUSxKpxDTeyHVjxpIntOiIc4YoFzU6ttrLmfBbymJfEWf03dueWco2zt7Fjo6khlb0xR4HrzjHYpm682vxfwfqGHaiTc0KHj22WcZHx/nrW+t3SSe5/Gd73yH//7f/zsHD+qVtrGxMdasWRN+Znx8vIE9iEY6nU7UjNu2/ZolZUnhui6madLR0XFe48jn86GEaLnbCcYSxPz8fMtjWh+PP/44Qgi2b9/Otm3beOWVVzBNk2q1+pof44WFBUzTZGBgoOVvZ7NZCoUCSqnX5Tp4ra6/mZkZpqamsG2bHTt2YNs2UkImpS0CpVFqPg5TkM500plbz2CfTlAK67V70HXb3kr0EtnYv4MPX/VhyG+A3rcA8OTJJ5koTFB+5QYychXd3Vr7eumqS/mnf/0Ib7utSMEp8OzpZzkydYSOdAcn506ypmMNXeksM1hk03l+9oaPklt7nEK1EDIWhWqByeIkG7o3gKGPp4dHxspQdss4SktvlKwwXhyDwhgFt4Bl2djSZEFV+ebRh3i2rhTnL57/Czh0L7dvvpNP3HMDFhYz7jw//82fDz/TacDtWYFhZnhSdvNDO36Iz7/784BepPjPTz5AysiwJTvHK+pFvLE+5vNbyNt5VmU1i2CmPCzL4uWJg6yeOUp3dZq0mSZj55HSwrIEtl3T/wb1GErF6xZkVWKZFh3pxudINpXFMi2ErGKZHXiqM1a/tNTLr7s3S/dWi61ZuKk/aTqpLd29732wsCBx506zfe1RjOIIZnmEjDfCi6evZueun9e/LypsK/8W/+m9yb/54p5zONJg1zstSHfxYsef8Mu/tZGCGsbLbICOefI98+waHmDrhg7edcNehldbYBrkO9LalcZNYZkWhmmEx0hIgWVapK108+vfALAglSWbyiKsLIIqlvBiB08IXYCbShmkU43by2YDy8ja14L7P6MyWKYFht80ywDLSJFL55qOK5vOUlVVlKGfXVLoayCfyce+k0Wff89M69/AAcsEw8AwDUwypO3aeDVzBGmshuMVRiqDZZtYUmCadu0wmAaYFtiZ+IVlglA2aTuNZVlks/o4ZDL6Wk6bHVjCwkPPX55Xq8HIZBodaKLxL2f+henyNHcM30E6ndXH2PD31awdbMPQ59JKGXocpl/YIPT5CvbVtEz/mrCxLN0bJb77Gb2Phgi3Y1omtmXq1/3j01R/r7K4lokjS5iWSX++v+H4dmQ6sApWeG4B8PztGwaWaZFJZcL3DEMfo2wWbDutn+uVQvhMTIp8vtZQTxkqvHayaf96cQwsy8JWkEpbCCvb8mERnCdPghGMzzLJZ/JYpoUUMj4W5e+PZTdsVwi9rUwm+Sdt23fIajg3gJfzj5Na/OGmZO3+Tucb3JXKblk/O4Ugm86GC8+txpfNanlRMM5W8WrO/0vZ7hsaFNxxxx08//zzsdc+/OEPs2PHDn75l3+ZLVu2MDQ0xEMPPcRVV2kEXK1WefTRR/nd3/3d12PI5xVBncP5OA/Byhcag9bltwsKxsfHee655wB9DqFmsfpaFxq7rsvCgqbnWxUaw4XTwCyQhW3YsCE8L56nXUwMU7UsSEuybAsm6XZ6FQSFxtWySSalE9ugXlRJk850J53pTrb2bUUqScbKsCq3iu5MNwJdyJhP9/CzV/80SY3VT82dYs+ZPWEx43DvMKVfK+FJj7kT/8Ce0e/wf6Q28pZNd/DNr6foTnf7xZGStJnm4zd8ghHRy1x1jpcmXqLiVuixV3FsfgdberboAucqzJdn6Ux1arAhHXICJIqpaomxcil0EgFtr/i904+Cl+ZErsBE5tucloo9/u35rq3v4iquAt//+9/9/cfY/tK32Oo/x8sKHp7sJ3P6HVyz+TLuuec/AXqS+cxjn0EqyV+VD9KZyZK383jKY6Y8w7b+bdy2+bZwHE+dfIqp0hQn507SyTTzaZv5shEyq8uStNYXGisF1Snt2mNYIRjEWSD3yNX8VM9xzB7/Gury/wA3vXUSbvFBlpFBdlxKUWxmRl7KRGkLp2aHUYVRTk+u4lunfoBffP9C+Pt75z7C156JDqof6Oef/P/97Rcthu8ClMvjj+si6u7uHL1rbqZ3wOF/b9EF1B19Jl07OtixU1+QumlXnSFKpE+BZVjafUh6cVckdHGhQjcvS+po3KpAMmxCJT2U329AGc3dh6DR1SV0H6pboQ627Qhb+/R7hVAXLlEojET3IcuXiiT1KQBDHydkvAdVk0Jbx3OQnm5cZpq142vbuhbDVP785duqtnKfqY/56ryuC3MKmH5xuhcUGidYkpoG8eZyJPcpsIP9b6NPgSe92G+1dB8KzocqkaaxyBiaFOeGhcb6v83dh3ShcdCnoFlE3YeshEJjx/EbkFnaGrqVHWntt6FcdVEEtqjeeRUaNwODhuGfz8RLcwmFxmEnddFgXgDxHgVRJUqrIvg3owPRGxoUdHZ2snv37thr+Xye/v7+8PWPf/zjPPDAA2zbto1t27bxwAMPkMvl+MAHPvB6DPm8IkiYz6dHAdRAxUpZkoIGBe3GP//zP6OUYufOnaEM5/UCBYHzUCqVWvS4XigNzA4dOgTAtkhWLaX/sDNUY6OcaCSAgqYJTkKvAle6OFUDlH70ZLO1Tr3R2vpg8ggcfrrSXaBcvZKF1XTVJamRE2hHl2y6m85UJ+s7VnHl0JWcHNT7rRSgJDk7y49d+SHovRJXunzj8DcAePu6d/PtDgPLAtPUtU0ZK8WX7v8SA7kBrl13LaWZl6hO7qFgdjGV20JnqmaHbAiDT9z0s8zMuXTbx7lyWy8T0uAK1UGhWuDyVZdTPlFGmVU86dGbGmQg04WtijjSxQaUa1FyS7iiBrBME/7l9JO4nseTqW+BHb9n37rmrfzaLb8W/v8H/uoHmChqTe7tWcgb8PjLNzFbGmDnqp08fN2nw8/+yP/3I8yUZ8jbefIpXVDekeogb+fZ0L2Bn7z6J3WCfPTPmDz5DUxnjpQsk66cxnR1wi7X3ovx9q8BMOVU6CqexqKKxELkNyI6hnV33o5h6I3KGjyMq/8zHatvoSPVw3rgKoCxh8Et8lOrStpJZhIwLN73Prj++prz0ndfOsjZs5CpbGJ2MsPm4RpwmZ7W19vEhGBiQtdJPfVI8Lt5fvZ3erlsl35mPPQQvOc9+EXTsGbI5c5d0NMDMzmLXTdkkF0ppCfx3ArCUxi+TExbXkq9WJ7QHbkd9yEAKR1c6aJauA9Boy1pkFDXW5KGzkZGGiklhluMgAIDhEh0HzLr7TajIQwM0b4lqSMd7TxkmrH7OOxqHIACNw4KDKN1Lw2lVLj/Va9a63arWluSmm10NF7cklQSNnJGRZJcFrEktX371RJppWJ2pEG0AgVu4I4UAQWJfQoWAQUB++g4UHb8PgWGHWmIJrCkxDaTu4jXRzAnVB03MgaJ7evwo05Z/g75221uSdoMEJqm34wuqYFZuGjRRlYedR5KGEc10r+h3fG9GR2I3tCgoJ345Cc/SalU4qMf/WjYvOzBBx980/UogPPvZhzESjIFuVyOYrHYti3pqVOnOHDgAEII3vGOd4SvBwl5tVrFdd3zslxdSkTtSBcrcL4QGpg5jsPIiC56rAcFlmlpuQJ6Qs7aCSAqwce5KShI6FXgSpdKSTdIymZrVDfUmtSYJg0JUGeqE6SrHUiwmq4ahclRwiSgfJs5008OgstBSiKTuH4xCohKZQkYejXNf73i1noUWIZFp2lBtp/+ji1s7Ik3TkyZKe7f/QNMT8NQ92mu3bIV0v2w6m2Adoz5nRO/g2G5CCH4f37g/+W+G5+B0hk83/r0peJt7NmnGBysXcNKKT7xto+xUHJYd/ndeKlpCtUCJ2ZPMF4Y58qhK2PjWN+1npSZYrYyS4dZQimPipNB+n7s4WqWdDk6+ggdzjnW2zBsw7Cl/365Cn8ortSgQJjw0gP0R/37/Tjjwrde/jq//cKlHPzYQUZmjjG3+Tf5/X8YZWTBYt11z5Ov5MnPVcjbo+RPTTE48gK/dNMvhRP4d0e/x4IkBCUDxXHyqoxVGCNnZ3Rva2GSzcK2bYTMUddbTlB2y9y6aYjuTAbmTN1UTnn8yI/o8z121mXK3k9xwWZQXMHZs3D8VIkNWxbCBOvsWe2+Mzqq/6RtF+XXy351r8nnPp9l2+0WnvLYt1dx6/YqPX1pBgf1ymvVGGJwU5oTT3bxw++BXb603/Nq114iKIg2opKu36dAtGQK6q14m1mSGkJ3lvWMFJ5ysZQEH8R5xHt0QIQpMCOr4PUhDP+2aBMUeA6uI7BE/D4OQYFMg9HIFCzGErgRW1zHc2rdbhNAgesqlFIYhmpY/AhX/CN9CoL9bwoKIOiGEGcKWtmRAhhW2O8kbRgNHcihmY3n0ixJhWoNCmw/D1YKSmUPw9a/G14vroGnPGwr6CHSmimodTT2e2wYNihv0WZsy2EKWtqSLokpCBa8kvfNifRviEY7oOAiU/Aqxre//e3Y/4UQfOpTn+JTn/rU6zKelYw3IihYt24dhw8fbpspeOQRvex2xRVXsGrVqvD1TCYTdqktlUqvGWhrp0dBEBeCfOjYsWO4rkt3dzerV68OXw8ebCn/yVvxmoACf6LGqK1ABg/DhgQnoVeBK10qZZOcMMPCq+jD3nF8UFCXAHWlu8AZ1/b02E0niFBGUd+8DFCBJ7g/QQS0c8AUAOEkLqgl3xoU+BS7/341Agr0cfHZECuZjQrGm8s3NvsKJnTT0k2dDGHgOg4WOkHM23n6Uv2s7Uqxvr+2TSEE91x6J4UC3PRW6PPt8J8+9TRjC2NcPnh5bAx7fmoPc5U5vnP0W2yafZKdnQM8vWGAshIcFz8Y+pDzt6t5enA6cT825fs4s/b9wQBg8wd54vCXOVqu8mDZ4mC5ysulEnO+Reblfkfl+eo8k5lLeXL8RSZKY7xw5JsN297cs5lfetsvhhKdX37kP/K903vC969KwzoLXqpCV7qHvT/y5+FK4If+/kM8d/Y58nY+9Lf/qxf+iu50N8M2fPKye8PmZdPpvUx3LCDWf4/1/R53bqnQle5irjLHK1OjGGIzAD/yI7obdcBATJ71yM3B5IxF9hLYsUPhCQMXg5kZMEWF06fTnD4djLgHnujhG38Fw2troODBB+G++6CrC/r7YcsWE8e5mkcfNVizBu69V2CmTDzp4boOVcdDZVszBfWJYzP5EOjrraokXuDF7uhnpOcnw4nyIdPAoxlTYPryofo+BcmJcdWrxnoUhOPy/x0wBQFL2C4oiCa9jqyBgiT5UNVvqqWZgjr5kP//eEdj/V7ALIbrS1FnL6ET9BhT0Iol8N9f8J+p3UnPW9pgCkQLpgARyodaMcBBbUu5IilXJDm79ruWYeE6uoleagmgQCqJ40qUEGFXZSE0uA0KwmtMVnOm4LxAQdinQNUa9TWLZXQzjv7uRVBwMVY8Vko+tJKgYP369SEoWMzVaXx8nCNHjmAYBm9/+9tj7wkhyGazFIvFNywouBDkQ0E9wbZt2xJ1kWnbBwVuk2OwlJoCIbSEyC3oJkkBKCil6DTMmBuDbesHZzAB1D94O9OdUD2NJ0GJFkxBQiOncOj+BGH5q2zB7uvFtnhHTSFECGLLZT1h6dsqyhSkaqAgqJswky0mAno+G4CCyKqm8CUbpgkSD7Bxq1Wijn9OxQFSpOrmq2DSieLYildBSCe+6rjvV2DmBToWjnDPwlEsqc/vjcCscQULuQ/riUsIyK7T5yy/WUt78jWZz7rObfxaUCcAcPV/4W1r7+Vths2Prb2nNl7PoeAUwkRkobqA9Azet+t++vPdbL/hR1ioLtQKxasFXyJWu4gu6d9BWarw/ZSaw6RARkg6Uv4z0k84Xz73MvvG9sWOzfdOfg+A3fkuDQr8Y/6XB/4fnj0yAmv2QNdpfvWRXw2/YwiDJ//Nk4A+37/z3L/j0eOPkrfzrE6luX51BWNtjuzVf83/njV4z9B7cLG47Tb4829+h/2jgspsD4f2rOHEqQpWyqGTtQxslEg1gCEMzp7VyeXMjP5z5IgBbCBY7xochMG3mXh47N0j+d0HruTJk29n1aoO1gzFG8q9+92we7dmyFxHUCw74bUPjfcR+KDAq+IaKcCBqg8KEpiC4J62LIFHk5oCobsdL0U+FNQUJDIFqgbspZJ4ng9WlgIKPKfWvCyBKagEnXYt3a05GgFTE29eFmdPwrEIES58GH5iq78TX2RoFQX/oddlJzsUBecw9kyONi8TizMFwXhiq/N1kU5DoeThOnpfg21ahoXnKjzpYYfdjBeXD7nSxfMECFMDrcg1GYCC+v1JYgoWA4WhTCyRKTBrFIhyaZnyhp3UW4OCenDeTk3BRfnQxVhWrFSh8UrWFKxduxbDMKhWqywsLLRM5k+cOAHA5s2bE/saBKBgKZ655xszMzMA9IQ+ec3j+10+pJRKrCeA2opg2tIPvIC6b4il1BSAlhC5BfB0sa9SikpZd02NggLLioOC6IPXNm2d4KqafKhpTUEzehqQCUxBuO8Jk5IhNGVeLEWZAr/hmVsGkaqxKU26GQexdas+TuvWWzBDA51t+ZOsYeumQa7jQGTudqr687H9XhhhwHmFruoIucMj8MpRWBjhurlDlOw+5OZna5899RWYfRHfdAUFqNQqpr0dzBmaUQhXs+58FFI9i69yQkRTHd8f27TpMXsAbZGqmwMKNnRt4NpNl3PXlTeTGD4DgxD8+f1fir+3MAIzL+CkB6iIFJRPhyt/n7/384wXxrVF7onHqLgVNnZvpOJV6JG+vMlPCi8d3ERxLstCfgHZqUFgwSmwUF2IFVcCHJs5xqFJfc/0GWBnYUHCt0uPIxD80I4fwsHAMuEbpz/PF/w6FCp3Qk8GNn0HMnM8+B2Yv2mejlQHP/Zj8FDlt/jaN1xsr5tc/wzliW6ycjNyYRX/6+wj/Dv3KgwU09MSpQRT53JMjBu89GLd4e88w45dq7BNm31PrOL+n7qKvj5Fvvft9AxU+dJmMwQQP/ADcPnlOslzqoJSOk2X5YRMgfSv/aSaAss0qNCEKfALjZciH/Jc7fSUBArwbIStAblmFfR8thgoiEoGq16VdBtMgS6gju9TtGB4UVAQ7F89KAj3ffF7aMFPNrsTpENQAwVSSb842gzHnFRTUA8KBALLZz/iq/N1v5MCVzo4VV3UHiwaWYaF62qg2a58yLL8hRlPYJkpzbz6xyRlpihQiEs8WzArizEFweuJNQWgAYxydNJvtsitEqSx0QjY52ZMQdL4LjIFF+O8ImAK3kjyoXw+T29vL5OTk5w7d64lKDh58iSg2YWkyOVyTE5Otl1s/A//8A/Mz8/zgQ98YNkdhi/Kh2px7tw5ZmZmsCyL4eHh2HvBAzWT8kFBElOgZOJqSktQECTJbjHU/FZKJma+ERRABBRE5EOhI4d0fflQc6YgSk870iEdyayln5zU1xQkyYfABwV4lCsRpiAKCuwuH6zImqyqCSjo7oYrrwTcQIcQT6KD1UrD1KDAq1SASahMQOkM/eNPkKqkSKUiTRcfvY+dsy/pf0d6FKYAIau4UenIjn8PsoyX28STZ/aTcufY1H0vT71yS/iRcOJK9yXuQ2IEK4ZKgfTYu9+kWoXrrqsd3/mKdmKSnogVgCZGAC5EQtLhT+i28rDtTOz337pW21Z70gslM+/a9i6dLJXOwuS/hNv+1dv/PUc3wSnrO6zbMssdW+4gZ+c4eO4gL46/GEuw/vBdf6jBRrWAWzxFbu4F5pTBu8wh5ivz2rXJV5NfMbCdu7d6FKoFzpy7lJniAirfhWfpHgg5W1/wlgWl3CFmczPacWr4mxC5HUeL8FHjqyhZ5fqbizzm/le+tv9XoTAEC4NQGAz//uX9f8iPLvwjKTPFzDm931NTgqmpTkaPwPNP1bb792f+kH944P1YhsW+x1fxy5/q44qtz5HrWKCjy2VKdTHiDbJxrcv77z/Ae24bRsqMBuuOCI9v4zVQcx86OHGYE2qcG9bfEN5n1MlzHOnguoKMYSXKh1xXkDbTlN0yZbfcPiiISAYd6ZALn0vBPedFPuuvWtsmUHcvJhUamyJccPa8OnAuTMCJgwKZDIiSYt7V802nlZyMWoaFIQykklS9qu7y7G/fTagpiK9c632xRQ0UNAsNCjwcR8QSX8uwdDG98mqFxm3Ih1zpIqXACp5DEVDQOJbAtmrphcYtmYJgrNJZvK5gmfKhYM66KB+6GCseQSK+kvKhxSQ/i40lk8nQ398fgoL6ZDIai4GCpTgQeZ7H3r26K+vU1BQDAwNLGn8QF+VDtQikQ5s3bw73NYhQPtSKKYiu7EQmhZYUaSCn8WqgwK2kIE+DfAhqD8/ogzdw8lHS1fIho3lNAWi2wPGchrqCoKbATGIKRFw+BLXkoFyJ1xQolK4psP2agoAlEGbTVaYwwiTag8o0lM9CbmvIFFxR+gUGyt+jY/9RULVJcy3g0MWE/SnCibP7Msplxaw7TKp/C71rN+KWz/HywhSne2/iTjuyuLD1w3rfgcrkSWyvSMmJj3VZE1ckGZGey8mTemZcWIBg/WCuohvnKCXwpIcwdOF2YoSgM+EER92slA8U65KuqLwlXPEOtuWf92DNxa3q14PEz5UutmnHEqwdAztqDcOKp2BqENIDsOpGik6Rh48+jOPvy8+89Sf5mR7tivfVr8Izp57l8hvfzzt33Ebezseew7979wPc4lWoyDK7bvwoj/3LY1y6+1LKXpmCUyBv5ymUyziiwobBLm68FjpSBoXqMQrOizHpVT6Vx5Me7/ihUV7q+12+9fxzcfCwMASFQZ6u/imu/CFMw2RmKk2xmqNaSlEtpZiZgKPjW3jp1GU8DXx57Ed54fJfpVNext698Nu/nYb0bYiOceyup0l1zZDpniXXO8/W65/kd668HpNVjEyc4dTEv/CVQ1/hGjFF3rSYmxgjlRkIC8Zny7NIr0ufH8PBk9oGNerUkrY0KKi4leXVFHjRmoLIPRe87+p/a7lk/FkXrTEIrifDl0glutz411myfKj1YlbFrYTXT95qXTNSdssaFNhZ2mcK9DVnG+2CAhe3ajSAAtdx8KSHZbRfU6CtZ3WPDSAmH2oYy3kwBS0XpaB9B6Ko+1BCBMzGUtyHLlqSXozzipUqNA6+73kenuct2elHShmulmcyGQYGBjh06FBLB6JSqRQWI68EKCgUao4ms7OzywIFSqllgYLvV6YgWk9QH8GDrSVT4D80pWFxau4kQx1D2Ka9uHwIwC35K0fgVvVvtGIKDKETBU96IVMgXf1kbWVJCv5D22l0IJL+484kgSlImMQDUBArNMbQ4MYvmkubaaj490WTImPGH4OZ56AwAvNHYWafBgNuAeweeO94mMDm5Ak61cvBCCCzGtKrGK/sYkpezoDtET62b/4bRg7AK6/AljXQu71IdfQrFJ0XSJlWsqUsYPv7WvTPg2Xp475s3athgXSpVlwCzVMSKAiuD48q0OQZp1qsRAbUv6xoOUDw25EIEnxDGLUkPOIlDzVQ4NWBgiABTLIQjY+tprUGcHygKLxaYaxSerumqTCF2bAwM9y/gUv8ovG7t1yKOqS494p7wyZD3xv9HkW/OPSaddex48pbuWPLHcnjQh9jw4B/d8v9/Id3/iT7x/aTs3Ns7N4YgoeF6kfoz/VztnCWO+8fZdNVD1M8/gQLcybFuTQzpwbpPjWMN9dPZtMEnelOZFHXPQBQ6UJVuqhOQhVY8F8+bT2Ie4WDoRT7n+rkf/ynXwS7wD3X/i+s/CSPnOmkmB6H/FnY9WX+8499kIx7DdK1+PNn/oY/+LsfI22lyZa3YI3dQK6rTG7rXkxh8rt3/i6XZ94NwEvnnucfvvWlmE1uPlWzyu1M11js+eo8He48nsw1WJJKCW7AFCRkctH7JlhYWDIoSGAek6LiVZDCxsREyBYJuw8KwsWaEMg2tyQN+hRAe6AgnfYto514UbuuKTCQaqk1BQ5KCcxw5d3v+WAk2UYHhcavAigI9mUxUOC1lg+dT6HxxZqCi7HkcF037CJ8vkxBKpWKFEmW6ejoWNL3o7UI6XQ6TMhbORCdOqW9+vr6+sg16ecdvN5OTUEUFCylRXf9NjzPQwjRVmHz97N8qFwuc/z4cSAZFERrCjyaMQX6uJxamGDf/D629G7hstWXtScf8oo40sGpmJhCdwaNYt8ktiFtpinKYggKvJCntVpKUJo1yJGBbt9nLGKWpEbjJB5MtHtPvkRW9bOt2s1gTvjblaQNC1EchXNPwcTj4M7Dkf8HKuNw+z+F2+HFB+DMN5IHa6bAXQhBwZHuj3Fs7uNsHjrD4MYhyK2D4ikOPn8ZM+4W1tbl0jGGRVap+ucoT/NZyPZBUdHRX+7o0Infsi97YQEBKNAxPw9Bk/mgkZuS+oC7qgUokC2SDiNdKxoMbFDrPhfIW2KJfV2DtaBRU8AUBN8JmCwriaWIfD+4RoLPBQ3MguLt4D5QSmGYjZaXEE8gmvYqUB4Vt6otHVvYkULtms/aWTZ2baRYLbKxe2ODLW0wbiHgPdfewyWXbw9ff67icdw1uXzwcjb3/CsAjk7CXXfBu99bZM/s15mYMOmXu5gY1wXT5yYMbr3//fTnXGZKHgszwdJoHrO0Gkqr8A7eBY4+36s3TZO1s7ie4Pn9Fn/w6R8F634q+XEq2UkwHchNwNAu2PX/MXvLLJ6trWH3jB3i8+d+N0lhAsD/uPd/sKFrAwAPHnmQz/3Tv4Gxt7Cm7xy3b38R18zyPP3kjG7ukJ8lZaRJ2SaHpw7zyMgjHDvwGLlUBx2pDo5MHyFtpunN9rK+c71epDBhoVTh9OwMQ7ZuFGgaZg0UqISagmaMmB9lt4z0G+G1AgVpKw2VyDMtWmhM5FqUkd4SJmGSbZ0vU+AKPCmx2pQPWRY4wXM2uNdbyYfqLKGj0U6fgujnGqJdW9JwoWHlCo0vyocuxrLD8a8aIUSDtGOpEWyjUqlQqVSWDQpSqRSmadLfr5e0WoGCxaRDcH5MwXIiKDLu6urCXIx75s0lH1qqLOzo0aNIKenv76evr1EzHoIC26ZIa6ZguloAu5fpsratbIsp8Eq4nkO5pJ0o6nFjEii4YvAK5qvz9GZ10brr6DfNRZiv+kZO4fCDQmMBSBfDn0hjNQWRSemygV28MvYUA84ButQ4z09ezsT8OQbdCS49/TesntvTfKKpzuhiXYDVt+qJqWMYOrZAZUpLUDa+H7KD4DghKJjOXolZ7GGIxzTz4I/ZrTpg0MCQxEFBTTKVU80nf1t5eEChovc/AAXnxRR44FbjoAD0OQh82HOWBuauanF/tWIKhNBsgVuKgIJk+VCsi3CdfCgABZ5rxb4TgIOmoCCsd/DBpc9GSCOFRIZdjV1Xb8swlR5yAvMgRK3pUrNeBQKFI6soIRJdhKIRXPNKKYqOXnRp9p1g/1z8hDbYf5Xcp0AIGOrPceWGLFJJ7tyyMW5XrLZw7ImvMqkq3HDHad71o6OIwmp2VxQzM3DfOZMzvq3rR/7tZxjLP8jhEwaFBf933CzMbtJ/gjh8Hz9w8xbWd67Hc2HvXvj8A+/DtB0y3XOku2ewO6cwOs8hOsbJX/W1UGZYKRtMTgiClemS4zFXnaco5zlQGgcnzY0DJdLZFCnL4sTsCb56+Gt8rfC1UNkejX9/47/nrq13YRjw7Jlnef9/ezdkZwAtH7wtn2JdKs0Rurlx+//B2za8DSU9js8c4y8OfYHxzOYYoxGwHNevv56UmcIzLFBwanaEdH44/Ez0PDQm0hKJxCMOChq6P6ul1hS4uE4jKAj6FLQrHxICZCDTDEFBXD4Ufz4vXz60aE3BUuVDTUDBYoXGF92HLsaKRlSus5wagPpIp9MhKFhq1MuYAqZgdnYWx3FCijsaKw0KFhYWwn8vlylYinQI3jzyoeeee46vfvWr/OAP/mBDx+9m0cx1KIjgwZZNpTQoaMIUSCRzThnsmquMZfkrwEkPvkivAtddoFrWjcvqQUHSisqq/CpW5Wu9LqTbJiioa+QUhBIGSgjthCGrCFFbXcOQMPkUnPpHXdy7MMKqhaOsche40R/rg6m/pSJdZsozdAhLuxgJC7JrINUHXTug9y06+Y9OLJf9h/gAzzykE8iIE0aQxBqWi1COPh/CBmHhScKEtJklacAUBBNXVlXrDNUj30GDgmJFZ8fBmsGyV7P84+hEQEFw+wYsQcbKIMwOoOTLh5pEK6YAwMgApciqfTtMQSAf0f7xmYzvLuMaWg4SqSmAOkARG1tcPgR+EabPFATF5q6rk3PT1AlbMxmXZfmddROSGd1wSheW6uZPi8g1DDMsRl2o6oMfdZkZH4c9e+CKK8BKRRgSKweOPke6T4FKdB8y/M7MQcFpLIRAGALpd/XNdXikO8+yy79v3rbODLH2fKXK2DEQyuauuwQ/93M6mTp7Fo4fh+98B+bmQGTmuO7GteRSObyKfg3AcywK5/oonOsDtoRD+Ksf/3GG+59ivDDO3sdW86cf+89Y1mfp6FSsH5pmV+Vh7LxglXs9V799FFHup+DNUC2Z9Ikt/PCOH2G7tYZ5R0utRqZHKDpFKl6FvkxfKB9yPAdk7VyU3TLT5TK2C0crE1ztXwNSOowtjPEPh77Ks02m4M/f+3nu2HIHUthMOlN8+O9/lH+OTI0ZKxMCiY9c9RGuGrqKqlfl8ORh/ufDv8haw+OlqseU1c++sX10pDpIyW686dvZ2j+MYUCpXObszDFmK7NMW3lmyjNNexWE8iEvzkyFfQoMD6tN+RCAFIH0KgW4izAFixcaLyYfauo+FMqHFsnMg/E0ATwX+xRcjNc0gkT0fKVDQWQyGebm5pZlS1oPCnK5HNlsllKpxNTUFIODg7HPK6VC+VArULBc+dBymYLvR1AwOzvL1772NarVKo899lhboMBxHA4cOADAjh07Ej8TBQVAcqMbr0qhWsDz3VY86VF0iphmPraNWER6FUhnQTMFwiSfj39s0RUV6eF5fpLVoiAP6jSr0oXiKCyMkJncy7rJb9PpzcPZL3P9zAkezh1CqS69ijX1LJz5p4btlcUaisYW7tx0NRPFc8yemebMwJ1w9edYu/pa7WxTOQd9V0Gu+fUfhr+yHmtg5k+yyqhi4OjjYKTAsHEdMNC+6/UTTz1TEE5chqk71dqNsjkbjzKwULFIizgoaIIjWoc/drcOFChVcx7qSncxRQoo+fKhJhEm3k3OsZWFaqSxWhOmIHbdRhMY6WLbKQxDf8atmg2goF2mADSAcAwbqco66ZEurmshkRiWrjtpBgqaNv1DJ+BCSZ2EmrmWjcuCsE2bilsJQUE0eZmY0Od3bAw6N5m1/Y2AAhcBqMTmZabp7ytOoi2pELr+J3DFcbwyjhTYZiq2+hsAdSH1/nR2arvU4WG4+upandHVty2w58w8Fdcm58Hdd8NHPqKbvQXN5KJ/Lr8cpv1tL8z67JormJkWVIsZXspkcaXFP+3fyDtv2Eg5dZJSZZqnH+vlof82jGEM89TJd7N6tcHgIOTypxnsK3HbD5xi6+AshjCoVmF3522M/tw4/YPl0MbWO/cUXuEk4/YgR6p+3YJyWd+1no9e+zMcFT0UqvqzBafWl2Nzz2Yqrq4pEEC3nUaUqrr5GYTuS+c4F4LdqldlqjTFt44+GDbyO+rAlw98WR+4Sgcf7Poilw5qQ5CXzh3kU//0cwB8rVDz+MlaWTpSHfzS235JdxEHJsqn+KNn/wjTcnkuf5Kh/BD5VJ6KW+Gl4+vY0bUby9TnviIle08+2VDfkbNzNfcm9PkwyQAL511ofP7yoRaZuVIt5UNRe9p6KV8rJuMiKLgYy4o9e/bwxS9+ka6uLnbv3s3MzExbvvqt4nxsSetBgRCCgYEBRkdHOXfuXAMomJqaolQqYVlWw3vRWK586LViCt7oNQVKKb761a+G53RsbIyxsTGGhoZafu/ll1+mUqnQ09PDpk2bEj8TTP4pywrrUapeNd4AS1aYr8yHMhyA2cosuVagAEJQ4LkL2o60TflQLJROlBUCOxWZHZTSRbsLI7qQd2GE9OofBPxVvWd+Fl75IwB6/D9BpICsPIaUV+hJqfdq3bCrZ7eW+eSHmapu4vEns+RycEcHDBo2g/3bId0Pq27QG1qkR0FD1GncobY6LUwHEYICGwwbxwWB08ASQEJNgRdxyHBmG0GBdDD91biFcop0tgYKQB//VkXciWE0MgVSQrFYKzLuSnexYGSA2UXkQ+0wBY2/HUTIFETBQqTBVLTY2MDAqRrhdxYvNA4sNuNMAcLEC1Y4vTKe14GUEtNowTrQ+pqPNpxSLC4fAg2GK1QSuxkH00ChAL2BfCgABX64Su9DdMzBPR2AKEi2JRWGlpeE9aJKUnKq2HXF9wGTFYCCJEtSAMuXnFS8mvtQLgcbN+o/SfHIiN7vO983ym0/cJJ1zu088Wgep2xy9VqYnvbYcRwuvRT2HtHyrsKsraUuUrMpZ8/C88+D9vuC7VdMs3WXBgXPPAP/8T8CCPr7swwOZhkaGuC6bdNsHcpx/Tt30denLYIXFlwyzno+ePnbsFc31nUE8fSpp5GGxXBumP/9jr/CXP8DlGQ1UhyuXaaEEJxdOEvVq7K1dyu/dOMvIIuneGJ+ntMyxUBugIJTYHpasb66vpYoI+lJd1N2yxhUCM5cyS1RckuxxHzOPceBiZcAxQsvfC2+aH/oXcjNHqahF5VOzo9x45/cmLhPOTvHx679GEPiA/pYVKr8x6f/IzNmL5PpNdiGzUx5hpyd44nRJ7hm7TW8c7UGMa6SPHr0Yc2Q+GBjstCLKTOYZpokJmFF3IeUW2MrEkBBcJyMsBlcLdphCgIr2zZUzK97XAQFb4B4/PHH+d73dPfNb37zm3zuc59j06ZNXHnllbzlLW/hQx/6EFu2bFlkK/FYSVAA0N/fH4KC+gikQ2vXrm2p3T+fmoLlWKsupXEZxGsKlmvl+mrGc889x+HDhzFNkzVr1nDy5En27dvHPffc0/J7+/btA+DKK69suk+1FcGaR3jFrdSBgirz1Xmk6A6lCnOVOTrTegJtmtBbOaiAdBaolLvoEI2goOWKijMHSoU9ClaX/hq+/f/6IOCY7pYciewt1+qvSQc6NuuHfMcwpfQapp0KVrqP1Rt/kOdOX0NhdnvNfWjgBv0nU5MsVc7ovwMderiSFaxsKbV8UBBhCkyffcF0MPDlQ4aWD7muZgraAQWOjFDc1ZlG5sIrYxomrrRwAnYoW9O3O84yQEGCfAh0XcG8vwrdme4M2RCXFs+kxZiC+uZDzWoK6hN7YWmL10hdgRCCasVonylIkCzV9PlB4lHBdTtQPlPQjCWAFp3A8WsK/HEpsXihMTTKGqL/D+6rQiEyZumCVWsyqTsaew01BVCTD0FyAzPhN/pTUidWAknZLdOV0M0YtHwI4kAgYMI8Dwypb7iyW44XzraIqEbdTilWD1S55JI82bTJnbsAFO9fJ5k4Z/DMKxq0/R//usAn3wuzs3DChbM+MHjiwJH/P3tvHm3JVZ53/3YNZ7xz355nSa1Z6kazhJAESGKyg2PsEOczNvmCg43BIeQjcew4hiQ2TrLiZCXETuLEOCH2MhmAEIyBtiEEkCzQ1K2W1OpJPQ/3dvcdz1jD/v7YtevUOafqDHfoe1tdz1q9uvucOjXtGt5nP8/7vly4ANtvnAuOT1Auq330fbh0Sf155RWYPGyyfRw23+phrFHX0/e/6/Pv/xkcv2hwZr65C/X69fAzPwP33KOOr1zO4c8OUq9DQToU7AIFu8BaGs+hs3NnQ1KwdXgrP3Xb+5mbPcL6UhVR3B5Wprp4EZ5+unFe79t8P5//y5/H8R2+XlIz/A9vf5iKU6HklBgvNKr67Vizib98819mvl7irgfuwrQ9Sk6JC3OT7L+8lc2DazEtwLDw8NkxsiMkLzqPBVRPDonEF+pZVHE99l3YzwkHXmqZb/vCy1/gw3d/mHes/TgAc/V5Hv/8480LvfYeQMDze/ngvT/F5977OUAF6o987hGM6Rtwz9/E2PoKW09MhmRiz4Y9/ORtPxk+S753/P9Qn5luq1pVzBTJo6xvGFasWpFUjhQ6kwLTbNRGcJyUFKToEQ899BBvf/vbOXXqFFNTU0xOTnLixAlOnDjBV77yFd75zneGpOCrX/0qX/va19izZw+7d+/m9ttvp9jqxWDpSYHOK4grS6pJwebNmzuuV5OCcrncNeiOkoJ6vU61Wu3bWrVQ+5CUEtd1Y3MnVgrz8/N8/evK2vLYY4+xfv16/uiP/oj9+/fzxBNPJJKx2dlZjh07BihSkITog62t/F0A6Slrgp9bw5ahLZycOclMdYbtxeZ1tCHoVSDdMrXKKMP5dlKQ8c6z1t3PmqnX4YVj4aw/88egfhme+L7qUYBF3n8dLvxJ5NdCBb8D18HATkyrAHrG9KaPwy2fBGEwOXOS48e+yAbDY93Gx6lcvg5/NjnRGBozrA1S0FzeEL/e+G2nbplRtK6DyOysWUfIOq5DqBR4LgjpdiQFrgvSU/Yh1yyol1d9uv0HXlVZIbwsvu9jWSqAsO0GKegbOsnRaScFs6KhFNgisED4HSyNnfoUQDvxSsopaJ2hN6xgrBqkwBCBUiB7rD4UYx8KEzz1Z15V5QlIH8OQyaoDPdiHgml3iejZPhRFNKdAi5+Oo3z5EByvGVEKItvWiJKCUClozSkgUAp8L5xtFdKj4lbaxiecmQ58+a2WC30dmkFpW8/3qDkuYHUMqKSUYeCWs3KKTAT2lbCjMYD08Dy1r0ZGYhkWpgFjozC2mfD233HiDDPVhm3VEAZ/6S/BvffC9u1q7LSy4F4ykXNw0y6P14LJktK8h2mobU9NwdQUHDzY2I1HHmmQghe+t44Xf/9tfO53q+w/VyM3lG8iEB/8IOy4Vd38U9Mur7uw0VaN1dS10TiJbVYWoUuS2tiGD4bNQGaADQPt6vL6wbXcs2UPlZrLz99zE5vH1Xvz5KUL/N7FE4xlPEzzIhg2N665kdf/1uvhb33ph0Rjvj7PQGaA//yVI4DFaHYt/9+Df4dL5DlprmG+Ps++8/uoeTXGC+M8vO1hon0Xblt7W7ie+WqZqh4Uw226D0r1Es+ceQamz8GFGZg9D+Vnw+//6u1/VZECYeFJj7+39+/wVMKj56/sepIvPPLRkEDc+3v3YhlWSBosw2K+Ns9gdpCTMyf50F0fCn/7/RN/gSkMMifLjA4WmixVA5kBbDtPva7uvUVWm78iSEnBKsDdd9/NW9/6VqrVKvfddx8PP/ww+/fvZ9++fezbt4877rgjXPYb3/gGv/u7vxv+XwjBrl272L17N7t37+bDH/4w4+PjYUC/FDkFQMeypL0kGUMjp8DzPBzH6VhlKUoKQAW3V4oUgCIiq4kUfO1rX6NSqbBx40YeeughhBAMDAwwPz/P4cOHE3MF9u/fj5SS7du3x1Yd0oiSAl3+rrUCUbk2HVRVybF1eCsnZ04yW5ttSvSK9aQHtfytS4e5jZfYIeYZOHAR7vyHKpAHBiZ+nwcqvwoV4HLMDpZOBDOwFuXhd8OOsZAEUNjWVFvaLF+C2acCP3ako7H0g7KkPkQ66/o+iZ7WdlKgvw+WD1WCXNdGRSFaquFAI4gNcwp0onFgH0pSCqJBlVuv4fgutcy4miUOFJamAfFrGMKk5mXxpBcel21DtbpAUtCiFOTzUKnApekazpCjrtXMACbqXHVMNO7U0RjaiVerlJ+oFOiLVK0/l9OkoJFTkEgoWvctsk29HVfbffxaU6JxL0pBkn2ooRSYPSkFrcQhqhREHZH1SuC5b7MPBYeXpBSIDkqBESguvk/BLuI6MwEpaFEKPCcg4ergWx+x+pxIzwr7lFTrDt1Igeu7yICQFDPFoNSnJgVGk33M82w86XUkba3XgE40Nk0YG1PEIMSMCXPAgMfhi+rc/chfqvGT74AZ3+DsfHP+w8SESviWUlLzalTLFq60gSrVco2T5yGoCwHAW98KN96hxvKp/zPEj/wSPLjLZ/PaQQ7P3IafW8cN2xSB+NEfDfbfVMnZExOwCYN8zqdg55lxapTqJQYyCRUJzTpg4LuRgQkInGkG4XnMvWkIQwXCmSLriuvUtWWonioDmVEe3f4oFDbB2N0AfO3w11TDvZ1vo5gpwvTLAKwtrOfARw6E663X4U+/7lNzazzyxCy22bj3CnaBL7//y5w8JXntQB5rcIrxG4+E6sVdG+8Kds7G9V1uH7+J6ZoZfl+ql9Q1CgxpAm1k8HyPZ882yEUrSk4pJAWeB//iqX9BzavC2T8Fs5kwv3nrm/n09u+FpOBqQEoKVgmiicajo6M8+uijPProo23Lvfe97yWfz4eE4cKFCxw6dIhDhw7x3//7f+dv/s2/CSil4Pnnn+ell17i+PHj7N69m1tvvbWncqdaXWi1D4EiBdFZfsdxuHDhAtCdFNi2jWmaeJ5HpVLpuC+6+pBhGPi+z8zMTMd8hbhj0DalXkmBLuVar9ep1WqxCsxK4JVXXuGVV17BMAze+973hqrAnXfeyVNPPcW+fftiSYGUMrQO7dmzp+M2oi9/bRlqVQpmK4oQDhXGw94BVbeKK2vYskzBP4ZXuQGrEJzv438MBz6lLD5+jR3ADh2DHAe2/0RICuTgzcwZt1K1rmPtjp0q2C8Gfw/sBLeMd/aHSCzcwd2wK1n1SKw+JCW+sDCEA34toXlZczCQSApkCymwWqSPTojJKdDWGsw6AhU4eWQwhY0b5BTEcdSo5aJaK4OUOFYRy8wpJcKdA3uo8QOviikMak6ujRTAAkvnaVtQoBSMjcGZMzBxuYIYgqKtyiuaqPvdR3VHjQ3I+lYKmtehA9a2wD7aSZooKTDCJEL924XZh0wIypK6btC4zJYLzilQJUkb6lUvSkGUBNim3RTcR0lBrRqoG9IDa1DZ5cw8fuVsuG2NWKUgNqfAxPNdpC9ZU1jDRPlMPCnwHTy3cTxxSgGoAEr3Kak4dSDfkRToe900zDCXQie0q47lZoQUqPGxLD9xrFvJnO5TADGKaET507+T0sUQMDpqMrodbrutfRs1t46Ukrf95ZO87+bD7Ll5Fxe9GmemmknEnXc2xrZUglxOYgifasXg/OkBLswM8dJzap179sCmTeq8fv3r8P73w7t2Cwp5eGHiXqxB2LYpw84t8KEPwX33qd/NzMCZsx51R6rnode4lqQXkAIjeBh2qYSljq2mSLFh4Mvmjsagjqfiq5yGIkUaz9/mGSXXVed+IJdnw2DzvZ+1srz35vdydgieq6ok9IceitkZwyZrZvn37/ksbGi2JvnSV3an0ikoHQFD9Xja+4G9Tcnhp2ZO8fr061iGxSPbH4nsn+Sm8ZuoOGWs9ccoO43fVN1qoBQ0juVqQEoKVgnq9TqWZXXtZvz444/z+OONC/v8+fMhQXj99ddZu1b5ELPZLK+88gpHjx7li1/8IgCWZXHLLbeEqsIv/dIvxQbmcUrB2NgYhmFQr9eZn58Pm4GdPXsW3/cZHBxkaGiobV1RCCHI5/PMz89TqVQSg3UpZagUrFu3jvPnz/edbKxVglwuF1qpeoEmBasl2bhcLvMnf6KsMg8//HBTUvGePXt46qmneO211yiVSm0k5syZM1y8eBHbtrn11ls7bieaUKhfqq1KwXz1Mtn6ZTZd+jbW5W9w/8QPyFZOk9t3iXe6anycia/CjvcEv5Aw+1rwb4OqOcKZ2nWYxZvYcfOtMBgpj7r1x/k/R34c24Z33hOzg86saswjrMTSdBrxHTMJfK4qkRo/SSnoYh+ihRS4gZe213wC6KgU+MLBEg5IqLs2ecMKSEG8fQgalotqTREU0ypgZEZVp+X6TDspMExqnpqF1celz+mCLvsW+5AmBZPTFdZKQgJpYGMYBsKQVN2qmiFsRac+BdCk/CCMNnUmtiRpZB9bcwpqQU5BNNDttaMxNMZNkQIHvFqDFJgSs0MA1SlBUjUv6y+nILpMlCD4fnNAUqtYEJSfRAiVRwN4k6ca2478FrrnFBiGgSeVVDiWH2MyqJzkStkUZDieg+cJTGEqotEipOjr0HHU5ETZKVOtOxh09mNHG0vpY9eKlJTgY2LggPRUHwnpkTGSCWDrNaCVgug5aXzZTgr8kEAmK0VVV71ns2YWKWwGBmBkrM4Nd7YvqwPrt//lU/zT/+9W3FM+R05M8n/PPkuldAsDzvVcuAC7diniYJoq0b9YBF8a1GoeF87YlGoDHNqn1vmudzXW//Wvw1/9qybwIKbl87nfMNi0SakPxYECxe1FNt15DjCYK9mcvqi+Gx2Nr1ZW9+oYprJneZ5+ZjYu9IyZoeJUGhM34TXVcj93aVwW/a57onF7VG4IQ6km9YZSYAiDx69rJg+HLx3m4MWDbQ0BfV/wT972TzAMeM97mn6C53s4vsMLP1T/T5WCFH3BcZyeSEErNmzYwIYNG3jHO97R9Hkul+NNb3oTN910E+VymRdffJHp6WleeuklXnrpJb761a/yd/7O3wmX/83f/E3m5ubYvXs3p0+fxvf9pn0xTZPR0VEuXbrExYsXQ1IQtQ71kphbKBSYn5/vWJa0Wq3iB0/eTZs2cf78+b7Lkurl+63ilM1mmZ+fXzWk4Otf/zqlUom1a9fyyCOPNH23bt06Nm3axNmzZzlw4AD3339/0/daJbjlllu6EiPf88j7p8nPvU5++hnMi88zfnoOvBnY/U9g7SPM12YYqp1l7anfUdtvWUdVrId6iTA0Wf82eNufq4o+Mwf44StH+NbRe3hw523suG1N02+7lyTV1YfsromwOiiQUuL6bqPbZ2Af0qSgSSkISUE3paAlH6DfJGPoWH1ISolpVMEH17NBBDkFSDK28la3Qlt/6lV1T1lWHuxhRQqcaWBrY+Egp6DmqEZU+hZfCqVAk4KRERXszdcqDFdNBteqZ4XvBzPYhrJNqBnCFnTrUyAMRQy8WttYQULzMuhgH1KkQOcTGMJItvy0dDSGiFLQklPgSx/DXLhSYBlW/zkFkWWilYdaH2W1itkgBQGklKH9pqtSkJRTECQaF+wCuYCglNwq0akfrRRYRjy5jyoFmay6jys1hyKdA8NoYylNjrR9CMCXpgo3fTfI+fDCoDUOrdeAQCQ3yYo8EzSZ8PSERIfx16QgZ+XwtSUnrj9MsD+2aeN4Do5fZ6Dgs3a9w41rZ9iwZp7dwVzRoUPw2mvq2vrgB9Wf6usG05fhB5NneeboDN7cOIX6Tu6MkI9qFQYHJXNzAs81OHsWzp7V39r85N+0MUUVKPD9p23e9deCb2xYt645ifoXfgG236pIgVPJcPiIyegNMGh7YcjfXpZUl61qVwoguUcB9FGS1O9QcznsUdClm3ELOe+YZGyoSntRons1ICUFqwT1ep18Pr9kfQqy2Sy33XYbN9xwAz/90z+NlJJTp06FqkK9Xm8K4n//93+fo0ePhv+3LIsvfelLPPDAA9x333383M/9HOPj4yEp2LlTlRDrNZ9Ao5cKRFolyOVyoQ9+oUpBr9YhjdXU1fjQoUPs378fIQTvfe97sWKejHv27OHs2bO8+OKLTaTAdV0OHDgQLtMRp77M/cd/EgMXglmktdHvZ16hNHSH6k6b3YDc/F7EwHVMiCKvu4LBsTs5e/TdVOoFHt0AIZXMr1d/AErHqVYltqgxWGx/goZe4qTSbcHLXNJdKYg2cnI8J3zxSynxDRshm0lBk1LQMlPVs31oCZQCXZ/cNGv4rlIKMEwczwD8jqQAKanVVZBhWYVGN+V6C5n2a5iGSTXBPrSoRGNVJolsVpU5LZ8vUymboVLgeSpwNUwZBkRt6KYUgDrXXi3WxpCoFLTYh8JE46qJJ70eypHKBhGMsQ85+rrxm5WCheYUNFcf6i2nIKoOJOUTAFRKFoyoc6WtoNFAPymnIJwFT8op8D3wJRkzw4CdxwHKXr2ZFHgOvmc0BUtRRMlpthhUIHIcilaPSoFph+Qo2g/Dl43A3fPA91Ui+ELsQ+1Nshoz4Xkrz1xtjppXAVN0VAq0PTNn5ShFqlclIWNmcIJiAkjVRE4imo4hLojO5QQb1sObb7AQO88zkJnnrcH7W+Nnfxbe85OX+MNvvsypg+u4a9stDAwo+9Jrr/lUhyvYdh1PZqnVLUZGVBd0x1GqYNCmCIAf+zHYeFMd05AceXmYf/9rBvddD3NVn9emFHHIj9xKfmSGj/6iYMsTgPSZm4fT5wxGt8LatWq8eyEFvXY0rtXB9jyMuJWF3Yzj7zOtaCQ1Luu0f6l9KMWCEO1ovBRorT4khGDbtm1s27aNH9XZSAGklHzyk5/khRdeYN++fTz//PPU63UOHDjAgQMHeOGFF/i5n/u5MK/gN3/zN9m9ezd33nkn+/btw7btZSEFxWIxDOoXqhQslBSsBqXgm9/8JgAPPvhg4vm9/fbb+cY3vsG5c+e4cOFCmHfx2muvUa1WGR4eDglcInLrMHDxsfELO/CLmzkrc3jFbVy/9XFYcz9TJZU3wtBNiN1BontpgonTz1CxBhFWAeqdexVUaxKbKgPF9helZXUp3SZdfA/8HkgBNBo5Ob5DHnXNhUqBFE2Jxs05Bd2qDyUlGvejFLRXHwIVYEokplHBx8bxgtwI1wLqZC2HCOVqHKutcg5qdRcsyFjFBilwZppnx7wqpjCp1HP40l8aUqC7LvuKFGQyUCxKKk6FSsliMNNQCjKGahwWSwoi1Ws6dkzVycYdlIK2YFwHTnNHwK+RNbZiYKhOrb7fQ+WhyFjFkgI9XdmiFPRQfSiuE6v6nT4XRt/Vh+JIgS6nWa1E+hBID0tYTfapOFJgmo2yubE5BaYiVwKJbdgM2HmmgLLTPM51r47n9aYUhLlNjgNdSEE0aNPH7nhOmG/jS1NVFgpIQTelICnROHpOIgev/pY+eVsl8FadMpjFnpSCjJlhTuurfvJ7J2NmKFEKSIGnSJ1oJgWxM9fBeOaDZNqyE1/9z/EcCgMua9dJbr5ZNZMDOHrU4D/vrWEZLp70eO+P2Uz9rHo26gpMrTkQ2j4kpMXAoFZBfc6fVw30YAgY4n3vOx1sXfL88/DBjwuOT6prdXxc5QlkMkqNyGbhgaA1zKVLcPKkIhjaVpnc0dhkrmTw6is++VmHO/bEjHmHxmWQ3M24W2M1uPoamKWkYJVguUlBJwgh+PCHPxz+/1/8i3/B8ePHuf322zl16lQYaI6Pj+N5Hv/7f/9vvvzlLzdt68/+7M/Ys2cPb33rW/mJn/iJxG310tU4Sgp0nsKVIgWrpYGZ7/th+dcHH4xvEgPqfN544428+uqrvPjii6GNrJfeBCHG7uapdSe5VN7EQ282sQdmeen4d8iYGa7fptY3c+nbAAzmGhWM9AzwfH2evPAAswMpyFGrgikcBgfin6CWpR6csTMq0sX1QAqrpzr6rY2cQOUUSGE37ENIQOB7MhKMRgImr/GSbc8pCH6jcwqsxdmH9D7X/SqG4QA2NScgqK4N1LHN+LeKbavqRHXHQ9omWSunSk0altpGNNk4sA9VnWxTTsHiSIEZ5j3oxGcrV1HVVcoZCrauOgaZwD4USwrCxmWiczKjJmAxxCGxglB+M1TOKYVh7ihZjrJReMwhqJY24Q71Wo5UNDzkRKoPhfYkB9fxFbnrWSlovz9V9aGA4BhWT9bMJvtQTDnS4WE1uyt9VXXJznihvU7P/hvCaNpWNNcoJAUx9iGJr24J3ydjZijaOaZQ9qEoHN/BdQR5I/4+jqonAzq3yXEh35t9yDbspkIDmhR4vgkmQU6BDJWCJHtXXE5BL4nG+lqvOxXIFXvKKejFPgQtlptAKcAwuioFISkws6GCWnWr5O3mZ1bdq2PZPrZhEQ0bHAcMYWKbrrL1BtdZNgtbt6o/rXh1UpGCh95S5Zc/PMgt4zA153GqrojDi0fO8dqJKa67WXs4fXwPxsYMTlxsNJObmGis82Mfa/z7G9+A/+f/afx/cFDlN1x/vSIKf+tvNQjExYtw6IBFaa7OxRMOt92Zb8tl6WYfil5fTT/rIechJQUpFoRo9aGlwGJKktbrddasWcNP/MRPhOoANEjBj/7ojzIyMsIzzzzDoUOHqNVqPPXUUzz11FNcunQpJAW+7/OzP/uz3HrrrWFys96vTkqBrjwUVQpmZ2f7aijWb+MyjdViH6pUKuHxdquCtGfPHl599VX279/P448/Trlc5siRI0Dn3gQhzCwVsRVEc6Jx3aurGU9hMF2ewAYG8+Phz3JWjoyZoe7VqfllYDBRIpVGhloNLOoMDcQ/djqSAt8J7EN2T0pBdLYwXIX08YUZXkOmcIAMsskO0bi+9CVgmtG635Gnv19veOAj9d67IqZ5GahA0PW8sKydUgig7lqYgG11IgV1qo6LL0x17EKAPQK1i6pfgT0UeGr9UCkwYnIKFmofak2Glpk59ZUzFJ5vzwPbzCTbh2Kq+8ShJg1OXDrE6MiuZpsbHUqSZsdU5ZHqJJRPIqoXGLBm2WBOUrh4Eopq24k5AAn71lAKGl2TfaeG7/vYpr8k1YesaHJ1B3SzD2WzqitwqQRuNYudKYcKSdJ5a7IPyWT7kBv0yhVSraMQkJJSi1Kg7ENZTNHZPuQ4DWJTC3JVerEPZcxMGLg5ntNQA2kE7rWga59p9ZFTIEQPSkGDFNSCUpc95xSESkGPpAAfz/eRZg+kIJjIEEjydj4syZlECkzDarKcKVJgYJtOQES6z8o0Eo1tXM/EMmHtuM/aIPfh5qkqByaOsm5QNb5E+rz1rfDcjxu4WRXIX7gA+/fDCy+oZ0c0B8LzYMMGmJxU/56bU39OnlTfRwnD178Ov/8Zm2K2zvcPufiW+q3OgfjEJ+CBneqAL05lOPpS4zsdjiUpBb2Qgq75cqsMKSlYBfA8D9fVCXBXXimIwvf92JKkoMqSZjIZ9uzZw6/8yq/w7W9/m+9+97ts2LCB4eFh9u3bxz33NErHHDt2jP/6X/9r0zqGh4cZGxvjhRdewLZt3va2t7XtQ1QpGBwcVJ5Xz6NUKjEwkFBfuQVXu31In4N8Po/RNq3RjBtuuIFisUipVOLo0aNMTk4ipWTbtm1NpK4TojaBjKnKskkpqXt1BIJqfbaNFAAM54aZLE1SkyUsBhOVgnLdREqBJeoMDcS/VDomZPlu2NG4V/sQNJcllVIGFWvUd4I6baQgEgxoPt2Uox0NFtygl4Zh91SmL0RMToHe51rdxTA8fGzqjsD3wfNtTAhyCtph2yBknbrjYQirMUucGVakwAlUNk8dkDBzuHULUyyVUtAgBXo9MqNygGStcb/6vr62ZFtlK7Vwl3KkASbqVaar05ybOsEt4xOsKzZS3jv2GhBGI8/Fq1HNv0htukTdqcH8EWCkB6Wgeb1N3YEzWXAr+G4VHx/T6s0+lFR9SATqlZUwe9mKqH0ommisx1TZugJSUMsADVKQVMq1iRT4yaTA1wQm+H0xsP5UvHqoRujSr73ahzJmBikbpKDTYzCaUxANnm19jiNKQV2TAjM5hyQup6CX6kP5QDGsa1JAD0qBmcMPcwrqicmwrUqBL3u1D+l1SYp2kVK9uQOxhuM72BlVprWVFJiGqUiB73Ul7XofTUOpXK6uPhSxnXVKNLaCoH3DBpWbNDICW7Y094b4wAfUH9+Hc+fgS19SKtjOnQ0Lk4aUMDhkIVywTYeJGVWC9bWgMN7P/iywXe3Hn33L5qd+pvHbwcHAojS8h+GxKv/oV3M8HlSKn5iAZ55Rf3eat0uVghR9Izqbv9SkoF6v9zXDHiURrftSKBTI5/NUKhUuX77M6dOnMU2Thx9+mN27d/PTP/3TTcsPDAzwW7/1W2Fy88GDB5mZmWFmZobXX3+dO+64IyQFFy5c4JOf/CR79uyhUqlQLpcpFouYpsnAwABzc3PMzs72RAp832duTs1UXq32oSgx6gbTNLnzzjt5+umneeGFF8IGcz2pBAGiNgEhBBkzQ82tUXNrlJ0yhnQp2AVsu3lGfCg7xGRpkoo7zyDxAQ7AXFW9pfLZOpYZ/6LslJAlfRfPBz/BdtC2rpiypDqYEYYaY1MEJQu9eFIQnWFtfC8ayQ+uUrT6yieAjvYhQ3pgeEhsHEftg55FtEQnpUDZhzLCasxm2SPBgUyrvwNSICkipcDDC2f2F6cU6F4KPhlbWbJcawYhJFmjSLWqqv0opaBDonE4G995gEtmgUuDt+MaOZ49+yxv3vpmhnPqPu+aMKxhZvGKOznpedxW/wHSV+Uqu/YoaPleB9Ge74GRAypIt4bvq+ZYi0o0DgJt0+yRFHSxD2UyjWCxXglq+WulwI/PxWgqSSqTcwq8IKizgiDYNlS1HInBfH2ekdxISNA7JRpHJwayZhbfj/Qg6DGnIDohkNOkIJJoXHfV/ttW8ti0kiOB6M8+5Cli2Gn8NTFWSkGk0oLvNDVj1ND3dc2tNexD9K4UIH1VBrikugG3QisFloghBcLEMt0+lQIfYUZKktJ4zuoxCp/PCYUeuiUaG4YiD9u3qz/vfnf7dfKBD8CeLTblKThbdZl11LLnz0cIRJDLIUWGbdvU57VaQ4GAUQDmPto4Md/4BvxMhEAUi81VmD75SdU3wbZVR+vJSWgpELgqkZKCVQBNCrLZbNdZ4V6hA3opJbVarWeyofdFNxqLQgjB+Pg4p06d4sKFC5wNapZt3rw5dl0bNmzg7/29vxf+v1Kp8NWvfpXPf/7zlEqlpn4LL7zwAp///Of5/Oc/H372B3/wB9x7771IKdm6dSszMzNs2rSp6zHMzc3h+35IKPrBarEPRS1UvWDPnj08/fTTHDx4ECkllmVxW1zHnAS0zjBlzawiBV6Ny5XLCN9R9ZxbZi2HsyoYq/idScF8RT1qCrnkqLNTkOQFH/aqFMTZh3R1Hxm8kIywjnmP3YxDGIDXUAr6JQWhUtB8stTssIswA6WgrgI6bZkSshMpqFNzfOwoKcgEhNiZVS/dgBR4ngpcTMsD4QPGkuQUgFYzbErOHNl8VlVjmYuQAsNGJiYa96YU1NwarlnAEKrx2DNnnuEt295C3s5370ocQT4n8LGoOUI1U5Nu9x4FCfYh13dDC5lSCpQ9ZaH2ISEEZjCPY/VICoQQYdnKqFKgr+NMpjHb7lQzjf2mN/tQSApicgrc4DMrrM6lZs2lMJirzSlSoO9FX11sceS+qfqQlcX3BL6v+ki0vo+iaMopCIJWKSUSVbHL9xv3nOOog+pICiLnQQjRs30oaynfPtJT45Aw/rqbMQQEThiB4iCVhagDKai7VRC0JRpLqTqJQ3xOAdIPSUvJaScFjucoUmBYiow5ajxcV91PtumoiZUeSEHNqwWJ9hau315YIVkp6L9PQTRkiq1cB9QdGyFgsOhgGappW0HPb/kenFWD+lN/LcNP/bQ6lzMzihycOevyjf0vMn0xy117Gv1+hFAKxsSEek6XSnDsmPoDEPSRxbKUBeq734X/9/9NPo7VgpQUrALENQtbLEzTDLsHL4QUJC2/Zs0aTp06xcsvv4zruuTz+Z4tKvl8nnvvvZeXX36Z8fFxHnvssfC76667jk9/+tPs27eP733ve0xMTDA5OcnXvvY1QHVy1mVJX3zxRX7nd34nzFO48847mxqn6XyC4eHhnhUSjdVmH+qV1Kxfv56NGzdy7tw5QPUm6Od6ir78IXhR1VQAdqlyCUO6DGbH2khB2NnYm0ciY5MmAWbL6kk9kO1OCuICU00KhGF1tBFoxNmH2pQCTQr8zqSgrWlY8NIPSUE/ScYQCSKSlAIXKZRS4DiRiksyJnokIAWyjuN6+EamERBaRfUC9x2lagSkwJUFwMXOqGDLMBdLCozAIqDKpnq+oTzLRZOCVWBuTpUY1PYhx5C4vtfe1Vj2phRoQnHL2ls4NXOK2dosz5x5hjdvfXPDBtNNKQByWXWtVuu2qkbjO92rD3UiBcF1hVfDl3bQvGxh9iEAW7pIwLR676x+69pbmavNMZgdDD+L2of0I6FeUedYk6helIJO9iFNCgzt3fc9VT1ImszX1QSHvheNoBFXN/uQ6tUQlLuVDqIDwYp6vqMliaXwAKupJKlWCjJW8vqi50H/u5c+BQAFu4CQyiKXRApqXi1U8MP71ciCrKpkY3uw7TeNXK8qWLSVJD11SlkeMxlluWnsnz4WZR+CZKXANCFrB7lMdTUeyj5kqOpD/diHTIFtWHiePj8ytEaFkzZtzcv671MgRKOyVtK9VK1b2EAu41BxVSC/Y0fwpa74JIxwQkIIdQ5HRmDrdXVKm85hGibbt90RrvOnf1qRi4MH1fNt7drmKkxaqLdttb5uRQBXC1JSsAqgk26XKskY1OxGNpulXC73NevdjRSMjytP+eHDhwGlEvQTeOtjbK0+dOONN/IP/+E/BODf/Jt/w9mzZ7nnnnu4cOECX/3qV9myZUuYJ/C9732P3/u932v6/XXXXReShHvvvRfo3zoEV6d9SGP37t0hKejamyCC6MxXSApMnShYYrY2y4h0VaDRQgoGMgMYwkAKl5pTw/Pir5vZcqAUZJOzrToqBUFkY/TiHSLePqSbM+ljMFD3RUgKuvUo0BAm4CzePiRlk89WVZxxQCilwAvsQ1IEydV+fMRuWaokad3xkVGlAIImZkGycZDE6HgFhJjDzqhSnLbZaAinarh39m/HISybarvMB5bFoUEDu24TiF5qFs8wwVZKS1tX4x6VAk0KBjID3Lf5Pr538nvM1eZ49uyzjcCzg21DI58PSIGbwZd1DOkkz+zHdDOGBvnwpBeWSvXdKlJaGH30KWh7hEqJLV3qgBkTICZh2/C2ts+i9iH9OKlXbeWA6yenoEOfAp1obIUdAT3ydh5ZN5irKyunvhdFoBR0IwUAdlCCVzUiS57k0OOuJwMyZoaqW8XHAbIqpwDALVEPchQydn+kILGErIgGvT55O4/AV0pAwvhr61DWzDben0ZWEfeEsqRhIO3WwNLjYIQz+4cOqeV27epiH4LYnAI9PoW8Cb66borFRqKxafRmH5JSqiRv08IybBw3cg6kD7oYAoqMKpUufmKmF1IAamySSIHvqwpuNrBxg8vUaRW0h6QgzGWKP65ot+xWeJ66d4eG4IYb1J9W2Da89a2d1Y7VhKXxqqRYFJZDKYCFJRv3Sgp0x+Fe+xNo6JKkurpOHObn58lmszz66KN85CMf4dd+7dcYHx8PlYIHHniAX/mVX+E973lPuP1jx47xpS99iU996lO8/vrrgCIFf/qnf8rHPvYx/uN//I/88Ic/7Fj1CFaPfWghpODOO++kWCyyfv367r0JIog+SEP7UOBJPj9/HiklBcMkY2TaSIEQgqHsEIYpKbvlxJma6Xn1VM/nSAxuO+UU6G65lt3bPEZS9SEgPAYRNDfyuygFbbeCXm6h9iERMztO4LfXSkHEPuTriksJ9qFMBqSvzr3fSgrCJmbToVJQc3OqmkgmUp8/cloXUiXD8dQKbMsNg8C1Y+rEzc01JgkBCpmgKVWrhcjv/HLWiFZtydt57t9yP5ZhcbF8kYqj7u/EGf8I8jk1jpW6rRSTTkpBl+pDnu8hjSyeD4as4UtPKQU92IekjAk0vSqmEGomuA9SEIcoKcjng7whaVKvGf3Zh6L5Ey3QpMAgQgoC+1CoFAT3opDJpKC1iaEl1LXi0XmSprU6TKOrsTo+RwQTRJXzDNaew8DtqBREx00Ex5TcJKs56C3YBQiUgiRSoK/haO6H1IpBQgWixjNNfe/6vkrMNSxOnFDWoVyuOSFXHYBmnA37kOu7TRMm0CBWhZwaBP38cxywDVViV+XOdL4/9Xp1c7hGTgGhmmJFyuyq5XUs0MyOe7EPRb+Pe/9Uq6qUtRCwfq06xosXI8v2WI60tfJQr/vXOuGy2pEqBasAOgDNtpuXF4WFlCXtlRRo9EsKtFKQlOvgum54PnRA3NrA7J577mmqcnTp0iX279/Piy++yL59+xgfH2dycpLh4WH+1//6X3z2s58NlzUMgxtvvJE9e/awe/duPvShDzUd02qzD/VDCgqFAr/0S7+EYRh95aZ0UgrmairAG7KDcYp5MA5lhzCMS5SdMp431va9lDAzKwCLQsELutG2v1gSlQLp4wXJwGYvCQUkVB8KXjzCzIGsh4nG9JtT0NrV2OqjHCkEycqmekFKFwgCGcNWtekNF59MJKfA6qoU+H4VzxMIM9sc2Nk6r2AG/cKtOjlVTSTb6OQrhFqP6waVX3qzsYdwA1KQsV1ma4q8rx8rMHlekYLoyzqfyVKrzbeTgh7sQ770w6BDN7cayg5xz6Z7eObMM+FEQy85BcW8JgUZZR+STvecAiOeFEDQq8AHQ1bx+mheBuB5LVKBV1YWGCOD3WNOQRKipEAI5aU2DZNq2eqoFESJnGE0CEOcUuBppSDa3dfOIytlSvUSnu+F96LwbTCSSUG0iaFFFnADpSAeru+G465nc/XfSikA11oPo7th+iVM9wI7zMMUjOScq76UgiYLnEfBylElyBlIuA6jxLaxns69CsLZda+O61uNYN+3CIR7brwxJkCNPK8MYZCzclTdKqV6iUw+UrpWKwU5i5lyMCHha3IGhilVQnkXFU6vJ5tRgb/nE5brjSYb62IWju+QX6RS0Kmrca2m8rJsGwYKLvm8IlCXLqmmaI1uxv01Lotur5eSpKCOp99n65VGSgpWAZbDPgTLoxSMjo5iGEY4u5qUZJwEy7KwbRvHcahUKm3b0cGwaZrhd90amK1Zs4a3vvWtvPWtbwXgD//wDwFFJt7znvdgWVZYAWlycpKDBw9y8OBB/viP/5gPfvCD4Xr+4A/+gO9///tcvHgRx3FwHAe7R7vKUmMhpAAWRizjHmzRGSykZCgTBL4xD86h7BCmdZFZpxw7y1wqgeOqyi75nB/MhLXnSiTmFPhuYx97JQUd7EPCzILbu1IQn2gcQb9KAajg0vOaku8sw8KQriIFwlbdZ6uR3gx+/BS+bYP0K0hfYBotBCXsbDwbjl21rurER5UCvR5NCvpFPeipkLEapGDdSJFJ1PqibsFiNsd0jTDRMkRC4B2Ftl0YLV1+1xbXcuf6O9l3fh/Qm1KQC5SCci2j+nHI/pUC3exLSoknbISnbGlC+Mrr3CGAEkLdc64Lvt+ynFtWfSsMs/le7BO+3wisdDBSLKrgv1o2O1Yfap0s0N/FJhqjm78Zyn4mPWzDxrKy1FE2xFC185JJATT6lTiOVgpcPJk8SaPXqywu6iGmAzgZKAWeBxS3gT1Mzf8GtqiyprIfSvGTWlEy15pTEDvbG5J8j7xuuubWSDJjxJOCzkqBbQaNFwNrkkQlQJ88YVKrqXGNayTW2Af1/CtmiooUOCVG86qqjuM54fOxmLeYQZECfe3YQjV7c2V3q3BI2m0bh+Axh6GqabUkG9fcWrNSIBanFMSNTa0GPlkyNlC7xPrxKsdP5bhwoZUUdLEPmfH2oW77t9gJlyuNlBSsAlxN9iHTNBkdHeXSpUuMj48viMgUCgVmZmYol8uMjo42fRcNhrW8qJUCXVWo2yx4tHHZXXfdxRNPPAGooPDcuXMhQTh69CgbNmwIf/c//sf/4E/+5E8A+PKXv8w//+f/PGy8tmfPHj7ykY8suZqThH6rDy0GrUnG0FznXEiXQe39jiEFw7lhDEOqGcGYmZrZWfB8n1zewDLNRM9son1I6h4FJnamt/yVXuxDOtE4qRxebJ8CaJ79E0bjZd4PhAXUVLAZbDZUCoQXzpaXSuCLzvYhy1KkQB1Ly/ViFRrJxoF9qFoPlIIYUlCpLIwUOE5gHzLdUF0aLQyFdfE1n482x0u0D3VIZIzaLlpzmbYNb8MUJo7v9BRIFwKlwPFtHMfHEJ0SjZMbq1mGheM5uMLE8ANSYHZphhagEcy0KwWbhzaTIc/64vqux5IErRLowARU8GgIg1rFDAP8OPtQEimIUwqc4PxYgpAUABQzw5SdGnO1uUhSaXCtJMy36ORW19VKQQlPJJOCuJnchn1IbVM/l6Q9zGnvPnxZxjbnYObV2HVGyVHY7LBD4BklBYVAVa379WYVIYLOpCD5WDNmBs9VKpsUBtK1OHpSfXfTTQm5QC3KZtEucolLTXkFYdlXwyQf1HGt1RrPgpzlIQR49E4KCtkMehrPx8TEjTxrWyZuFliSVKObfagm1mNkB8CbZ3PuB5yQDzExEekNAcn2oUi521bo7XXbP00KroYGZikpWAVYLqVAB/ZLSQpAWYguXbrUt3VII5/PMzMzE+vvj5shLxaLoToxNzfXMYFYSpnYuEwIwaZNm9i0aRPvete72n77Mz/zM2zYsIG9e/dy4cIFarVaSCC++MUv8rf+1t8Kl/1n/+yfMTMzEyY333DDDR1L5vWLfqsPLQbdlIK8aZK3bBVcxsx86pwCx3Oo1h2g+W0/M6OCDqtgYAgzUR5Ptg+5uJ7y1md6fGLpoMD13bArc2gfCl6+WimIqz7kOI3zkphTACq5tM8KVwBxDcyUUuDg4mLZNrgwPx9I3x3sQ0KAMHSAHUMiMyOqk2+ASj0b5hRE/eGLqUDkeKrrsjAqYcAzmB1kYKCZFJhmIxBqJwVaKUhW57S60BRMRbB5qHfl0rZMTNvH8SxqjsSwe0k0bv/eFCYODh4W0gOBxAzGo1sVJH3Nt9mH3DID9gADw7ckBpa9QJMCXQEFVEMo0zApVayOSkE0wOqeU6BJgWq4p2eEi7khJp1J5upzDdUuKA+aFEg1VSDqIacgbiZXB5xeQKT1Le554EiD896teEOXQbgNj1QE0euga/UhUGMUHHchrBLUePa0IvY61hMxCc9HCBKow3KmBhOnB1nnqETX5GrdOs9DnYSwLGmkAlE0mVbPZNfrEVKQUb91+yAFObtBCjzPwDRILku6BInGajvt3+mcAnfkfjC+y3BhhlH5HJdL9zE/LxgIc5n6tw/p/ev26rdttR9XQwOzlBSsAiy3UrCUOQUAt912G8eOHeurOVYUmvz0SgoMw2BoaIjp6WlmZ2c7koJqtRrmA0TLlPaCv/JX/grvfOc7+e3f/m0Mw+ADH/hASApqtVqTQvGf/tN/4pAu94BSP26//XZ2797Nfffdx4c+9KG+th1FvV7HCZ4eq0EpGMsOAOXEh6ZlWAzk1JjOVkvASNP3s7OKFGQKBpZhJsrjiaTAdwIJurceBdBcKcL1XTJmplGSNDg2o0NJUn3L2HYHjy4szDoEzQ3MgvXrRGNPepgBKahUwMTC7GAfQvoYRmCribFlYQ83SIGRoVY3MIWBnfHalALo/8UlpbIP5YGqNw1A3s5jGRaDg6rSR0+kQPahFJiLV+wMYWDbPo5rU6v5GGb/9iGIlCWVHiZZoIZtVMJtdEIiKfCCWVyzz3yVFkTzCTS0fagSsQ/F5RS0Phc65RTUpYsQEtNoJgUDmWFgkrnaXOP+64MUmEG+TSdSEFYeitzzOoDzcVRXkSBY9LyGKiKGr4OBcZh6Hoxc033dqSRpfLJoI5cia+WUlx5B1a2GQXgUsdexfr4mPB/1cdWlE9hubCZOD7BurVIJEucmWpWCQPWN9iqIJtNmdYO7CCnIZxRxcuJrgzQhzCmwMphmkGArW/KwaFVzF5do3C2nACCTL8D4/ZiTT7FmYAJn7iUuXLiTgdHecgqSqg/1sn9XU1fjlBSsAkSbly0llsM+BKrKzZ3RPuJ9Qlcgai1LCsm2meHhYaanp5mZmWFrvHESaOQdFIvFBeUD6ERj3/fZtm0bO3fu5Md+7Mfalvv4xz/OCy+8wL59+3jppZcol8v84Ac/CP9EScEnP/lJBgcHQ1Vh+/btHcu4amJk2/YVyWmIe7BFZ0XGsgPgJpMCgJHCAFBnptxOCmZm1OxipihU0JEwE5b44AxyCvohBSKoyuH6Lo7nkDEzzTkFgNBydox0rUlB/G2wFKSgvVeBKknq4kkfK5uBgDM3qg95QUm/lkDTd8AI1iNjgkidVwD4Ro56HYyEnALo/8XluuAHlhBHqnwC3b9iMCicE7UPLUYpiLVdLBCmMMlkfaplm1rdJ5fvv3kZtPQqkDkUKSiH2+gEfT232Yfc4NnYbxJ7C5JIgWEY1CsmjpdcfUgHv/q5kJRT4Esfzw86GgsD32vcUwNBc8P5+jy2aauytCK5+lD0c9eNKAU95BQk2YdaSYHvqyRwy7AgOwbr3962zricgo59JcL7Wfnms2aWsu9RdsodSUGsfaiLUmB6FWrUOH9+FCEtRkdVV99ERPoUAGGvgqh9KDobrq+VqH0oa6uD7kcpyJgRUuCbavJjmZWCpJwCCJ7lmREYu4uRkR8yO3uC2TMFGF7e6kPR/U9JQYqeoAPxqyHReCnQr1IAjVl/XZY0CdF8goUgE3l71mq1kMC04hd+4RfCf3uex+HDh0NVYe3ateF3juPwr//1v26qZjQ8PMydd97Jnj17eOyxx/jRH/3RpnXH5VUsJ+KUAiEEeTtPxakEpGCiMynIDwKXmKs2E71aDWbmq8xUZ8gUg5d1gme2k33I95UE3A9HypiZsPRekWKkeZkqw2IYEoN6bKJxR1KwFEpBjH0obF4mJWE7W1rIkO+2V4Dy6/hC2VeEjJlYsBvKmuOrA7IME8uWS0IKVC8FC0NAxZkBMiEp0O636MtTB0I6abhxHN37FCwlKdAWqnky1Oo+eek1OvK2IiQs7fumA0h1LvPADKaoAHZX+1Aj0Izc574X5n8sh1KQy4FtmkgpmC+pa79TonGoFIh4paDu1UEYGCaYQiIj9qLB3AigZqXzMo/nNpKBe1IKgkZnLsnvsNicgoh9yIoci1YKdLlMIHaKvZNSADG9PKINzKRPxspQqlfDErlRSF2ulOA61pPkmhRIT10DMddOxsxg+VVKNYfzE6OYlsnNN8edlaajCdbbbB+quTVc38UyrCYLVtQ+pJ/FOTOwD/WgFGhrlCYFAJ6frBQ0Jxo3Tmq0VO9i7UMQyQ3Lb2Bo6+1w8gDOpVfxKpZ63C5TojF0Lre92pCSglWA5QrEl6Mk6VJgIaSgtSxpEpLyCXqFYRhYloXrutTr9URSEIVpmtx8883cfPPNvP/972/6znEcPvOZz4TlUl955RVmZmb47ne/y3e/+13Onj0bkgIpJX/9r/911qxZw/nz5/tqQLYYJD3Y7tp4F2WnzKDQAUp3UjBfbR7Ti1N1Xrv8GlauytDAGkZyon/7kHTVbHQfSgEED3GnYS8IcwqECAhOTVmIYmap9C0Ty9Ojs78LnckN7UONt5gpBELvo9XE0LAzFuAGFptWUuAAHp60EX7MGEWSjWuuuq9zOYEQLAkpcJwGcSnXZsEcZzCjJILWlBjDaOSruL4bBiVATyVJl5IUCCHI5Hx8LOp1db4tEhptJHQ0hkivAulBQLpsowrYC7MPecE9ZFgd77leEO1mrCEEDA4YMAElJcz2ZB8KlYKWnIK6V0diYBoGhpD4+oEiBDm7ECp2ZaeM75lYRmdy30QKRLDjIqYDtj7GlsZlECnfGdiO4pSCTipOU6JxS58C6EYKlFIgRT22SZgOmkXQ2dd1I4RTl+70a9BaSQxlN7L8KmfPGNT8AmvGfVqqhLcj0qcAgsDfzFD31P4NZYeakml18By1D2UzPh7Qy6MhStLC6zvSUVpDj5davr2jcfQ9sJg+BXH9ZgrrdiILZUT5GDPTLmOjLCrROLUPpVhSXE3Vh5YCSV2NITnBtlelYLGkANR506RgsSgUCnziE58I/1+v13n11VdDVeGuu+4Kvztx4gR/8Ad/EP7/D//wD/nn//yfh7ajd7/73WHZ1aVEnFIAMJYfYyw/BjOvBAskByijRRUEztcqYXKdL32+d+glao7HxrUmezbdjzn1XFf7kG5cFD5oQ/uQ3R8pCGZ+tPyrAx9DGGBkEKKGIWuxOQWary6bUiDalQJ8B0uYuNJtiz1N21az1XHJxn496G2Qx/ATLIhBsnHdVd/rxl1RK8iilAIspHCo1GahMK66X6OCXl0XHNSYWoYVBoo1t4aVsZptXD2UJF0KUgCQy4pgvVmgjJmYt5GsFETtQ1Lmg8/KwODCqg8tUT4BxCsFAINFNf7zJUVCO9mHWkkB0JRA63gOUgiVL4QfIQVqXYPZQaYqUwC4rsAWZsf7OGq1sCxV694wVXJtISZQjvN8J1Ufcl11rKYlO5at7ZRorNfXdAwtSoHKFSjFkoJoPkGbEmxmwa0EEyftx5oxM3jlGrNTBeoyzw27epl6bp+lL9gF6l6dUr3EUHYoNtHY8yKKqeVTor+cgqhS0Ci5G6MUBB2agaZnqx4zw0ioqhRBEimQMrm09MDmW7l0pMLMzLmOpKCXPgXd3kspKUjRM6SU15x9KNrVuBUrrRSAshCVSqVl6WqcyWTCIF9DJxXn83l+4zd+gz/7sz9j//79TE1NMTExwd69e9m7dy+WZYWk4OLFi3zyk58M17V7927GxsYWtE9dZzt0EN+BFAzk8piGieeqkpRD2SFeOPcC5y6WMI0iD95wEzn98wT7kGk2Ny5qkAInKEm6AKWAxkM9zClAKQWGUMnGst+cgmWyDxE0z6pLiWFFcg0sMExLvU8TSIGyDw2F3WLbUNgG7jyVuipvqctxLpVS4PqCs6WTDPsOA5mBUCkAlVcQJQWg1AK37lJ1qyrxMXpcPZYkXQpks+qaqAVkKVEp6JBoHK3K4/t5fOmTCRK/e60+1NSnQHfKXmQ+AUSSLFtu3aFBtb3gcdtMmNH7pP5uTTQGdayGqb5QSoHAMk1EDCkYyAyEpMD3DEUKO9zHUauFEEECvqEsN3H+/NicgpbmZa2JxqbZhRTE5BQIoc6F73doYKaVAiuLFAYVt/0d11HtMrJApdFltwUZJLMXLaQU5McMxsZ6sJe25BSASjaerk6HycbRc2hZjeMMUvzI2j4lT5UkTaqopBFHCjw/knOhj0UnGjcpx+1KQS9F/ZJIQb3eKC7VSgrWrRccO/YmMjOSHRkHYbUX9ZBShudmMYnGiSr4KkRKClYYtVotDFaWyz7Ua3Dr+3647GqzD3VrYKaxVKQArnxX4/Xr1/Mrv/IrvOlNb+KZZ57h3nvvZe3ataGq8Pjjj4fLvvjii02qAsDWrVtDgvC+972PN73pTT1tN0kpaCzQOREL1EOxaBeZrc0yVZnhzNwZzs6dpTK/ll1rdrF57QCYQeDnO/EJszQaFzU9PIOSpJL+cwqgIf82BT5mFgQI6h2rDy1fonGk+pCGX8c0TKRPEynIZGj4XWXMW8V3kMLFkxZ4CWNU2ASFTVSDzqf5nIHD0pCCWk3y+swpNhUq2EaGN22+r2kGdGAAJibUv/XLM2flKNVLjWTj6Ex8Qh5NXDfjxUIHCjVH/cOMO79S9mQfcn0XIfNIX2Kb6rgWZB9yl04piLMPAQwNqoHQQZ+2BPViH4LmvAI1JqqymMBv5BRopSBCEH1P5RT0QgocR207Y2ZCpSAOcZ7vhn3IwZd+SLo8Tx2rbXQmBXE5BdCBFMQoBRJBJc4+1Ent6tLAzHBcZi5ncGSO9dtqPTXpC++nyJi1Jhu3zoZnMuoZqEljzpLgBaU9g2puSWhUH8qG97sb5hS0Jxo7bq3hiIxRCnqZCEqqPhRVCVofK2vWgGmZTHr3MpuF4ZjHjhOZrGjNKYheB6l9KMWSQQfGlmVh9TMN2gP6LUkaJQ8rYR+SUnZVCkqlEq7rJp6rxSYaQ+O8XWlSoKHPwZo1a7jvvvu477772pbZtm0bv/7rv86+fft48cUXOX78OKdOneLUqVN89atfZceOHSEp2L9/P7/zO7/Dnj172L17N3fccUeTPavrbEePpKBg55mtzXJo8ig1OY/nwcbcDQxlhxgaotHnQPpKfbDaA+okUuB54Is+lYIW+1BrToFWChrV8HpVCnQ5lszCa8jHVB9S9iELXwBG5GVk0/DZxygFnlsB08XDTlYKAuhbXJOCpehTcODcIaaqZbYOwa1rdoUlDzUGGzFh+PJuq0DUQ+OyaDfjTkFJP8gHcXe5lgOZUBkrOkZd7EP4OSQ+tlHHF2KBOQVLU3kIku1Dw4Nqw7WKhed7PdmH9PfR5SFQCoSBbRqAF2sf0hB+58pD0KwU2DbYhqVIQWtieoA4z7ceE9NU17jnNUiBLyPVhzpAWyCjBFd3oG7zrkdJASrRWAqDqlttm1nvqHbpY0ggQFPnHKQvEDmb4bF6b6QgwT4EjV4FrcRKkwL9irZNFyEEvjA7kgLP98JnSjSnwO+kFHh1JFaQu7E4paCVrCU2oERd12vXwvnzqmxy3DyifndYhtV2L0evgZQUXCF85jOf4Ytf/CIHDx4kn8/z0EMP8U//6T/lpptuCpeRUvLpT3+a//Af/gNTU1Pcf//9/Nt/+2+57bbbVnDPe4cO2Jej9GS/9qHovixlI65WJNmHKpVKWAmmlRTk83ls28ZxHGZnZ2OtMq7rhiVNl0IpWA77UC9IIkZR3HjjjXzqU58K/z8zM8P+/ftDVeHBBx8Mv/v+97/Pv//3/z78vxCC66+/PuzU/OCDPwNsW5RSYBhQzBZhHuaqZTJZ2Jq7FTM/TjYbCa6NjKqs4tdRlVqaEdtV13eXxD7UmlOAAEPWkVKvVJ0A349PTguhXw4xpKZnhPahyJvFdzCEiS9AWI0ToJQCK1ymFY5bwjQkvrCRXucTFCZQ5wxmaVYKFlI27+jlo5y8fA5fmuxYs4VBu/2cRElBVCmAGFLQQznSpbIOgSrPmcl5uPUMtUomfoY2VAlEvLoVzSnwc0jANDxETD3/VsTmFCyhUpBECrRSUK8a1F23Y/Oy6HPBEAYeXptSIBHYlolAIr2gS3fEPqQhgmpCnV530eswkwHLsDENuisFkWtHCIFt2gihKmx5nh0ekx9UH+paGcow8T2/TSmAbkqBp7qTC1PZg1t6FXS3DxFrsZQSJk+r+2RoQ5AY35NS0E4KWnsVtBIrHURr641lqsZ+WilIgh4LQyibWHv1ocgkRDBeAjVGtplpms53XTURMNLD/Z5kH+qs+ML69YoUTEzAjTcmH0+nfAJtK+uE4WG4/XbooW7JiqPLoawsvvOd7/CLv/iL/MVf/AV79+7FdV2efPLJMGgC1Vn2t3/7t/nsZz/LD3/4QzZs2MATTzzB3NzcCu5579CBeKb1qb0E0KTAdV282OLK8fuynCoBNJSCarXaKAdJIxjO5XJtpEQI0TXZWKsEtm0vKj9jpexDGkm9GjpheHiYt7zlLXz0ox/l937v95pI8T333MMv//Iv8653vYuNGzcipeTIkSP8z//5P/m1X/s1zpw5D/SgFHRpGDUUnHPfE2wb3sZa63r1ebSHnNlZHo/zXkrfxfODzr6LsA+15RQYQU5Bi31IEwIh2oMp9UVwohZqHYJ4+5B0sEz14hVmgn0olhSUMUyJELmuAb0+tmI+WkYzsh16972enTvLK5Ov4DoGm4d3MD4wEmtvitYMaFUKwkAvtA9dmcpDGqYwGV5Tw5UZKrMJpKBDPgE0Ztc96eF6Jq40MQyJTfcT2VkpWHzjwiRSkMuBbQukFMzOuz1VH4p+HyUFju+ACBoTAr6nVR/1/7yVD8+REZCCXu1DnhfkFHRSChLqyNuG+p3K9VCf1R0PKelZKYj+DR1IQaR5GdJDIMgEkwatZUk7Xscdno/nz4OsVTAtn4Gg6nVfpIB2+5BWMlqJVev1Yhkq30kKsydSoMeiU06BJm6gSyM3+3demzzCvvP7uFSd6HqISaQgKclYY9069ffUVMMqFXc8iylHCmryYedORUJWO1a1UvD1r3+96f+f+9znWLduHc899xyPPPIIUkr+1b/6V/zqr/4qP/7jPw7Af/7P/5n169fzR3/0R3z4wx9eid3uC3q2fDlJAagAvFuQeaVJgd6mVg6SKg9pDA8Pc+nSpcS8gsOHlWF68+bNi6rvv1rsQ0vVzfjee+/l3nvvDf8/OTkZKgr79u1j166buHgxYbZD+pEa7Z2v0YFsgTWFNWws5rlj/W28fEB93iTadGnQE0cKvCDS7bskaYJ9KFQK0PYhXfZQnYDo7FLsZZRbD9XzUNzR+860IqH6kCksfOGB0bj2Mhka9qGYoNtxy5imRBj5PkiBBXPxSoHvt1R/isHlymVeOPcCAGtzmxmxNmGaLzcrHwFsW53LajWSaBwEP/3Yh5aDFBjCYGRNmfNnbSqlTGf7UEIAFlUKfBccsghDYiclLUfQphR49cb9thjSiRpHfR/FvV6KBcH0jGR2rrN9KHodxJUljSYa44P0HLAJSYEQgoHMADPVmZ7sQ1GlwPMC+5ARn1Pg+Q3VojVwUwnKNWpBR3RQpADoWpIUGgQoSgoSS182NS9T+5ML1IGyU2YNa8JFe1IKYo719dchIyqMrnGRGV3lqpcHos4paCQaZ61saAUrO+U2YtUaRFuGiylMfGG2laSNIokUuF67UqCXq9YDUtBisTp68QQwyEz9ErCu4xEuVCnI5RQxmJiAF1+Ehx5qfuYvRTnSqw2rmhS0QgeD2jry+uuvc/78eZ588slwmWw2y6OPPspTTz2VSApqtVqTNUTPPDuOE1aCuVKYn5/H9/3QGrPUME2Ter3O/Px8V+IxNzeH53nLti9R2LZNtVplZmYmtE5NT0/jeR65XC52+4VCAc/zuHz5cuz3L730Ep7nceONNy5q/w3DwPM8SqXSFbke9DYcx8H3febn55FSks1ml2X7IyMjPProozz66KMAvPSSUpN8X7YHlV4V4alZHOlKEJ32R7B9aDu7hiWe63H5so/rQj4fWa8vEJ6LrM9Dpn1dQqiyheVy4zf1ahXP8/AEeJ7T/kJOgg+u51KulXEch7pTV7O5rovjC3zfRbplPDK4not0PXAc5ubUPqj8hrgafFkYCfI8Fjo+ngzOazUcY7deASlxpcCR5bB+uRASxyc4b+W2bdaqcyA8pMxSqbgJ+6xQKgnVKdbycD2Xmqw1XWOeJ5ASymWZ+CKtOBWeOvkUju+wobiBYm4bs9MeQqh+ErJebe7lgOqLMD9PeI2Z0sT1XOar82r79Yo6Pl8kntP56jyu52JKc8nuC+lLCkNl6uSoVw3mZkrkRlrWHewbAmTMdqUncT2Xar2KX3WpexYZ4SKcWtf9VOV3fTxPqGVlSW3LzCE9H7zuFqQkVKvqOlYVvdrv7VzexZuSXJ6uUc/VcT0Xz/XCfa7V1O+jzwXpN47VCSxu5VoZ1/cRqEaOTq2Ea7vgyfB85Ywcl7xL+K6B67qx+xOF66rrtFIBIQ18HErV9udxxangei6GMJBeo1IMgBH8rubUqNXUfTFfrgb9DmSjP0ACfM/H9Vz1vNATE77ar1qtZf89X12/Tg2khfBcTJHF9VxmKjNsKDRaDpdqpabrOPr8189H6qWma21mBi6cl2yQc4yuczgvLXzPVcfc7V5wPbVOt960zqzIMuvNMjk3iRt0tsZX+6Gfw0AQyKvcK8dX4+3EPLujx2ZIA8dxkFKtp1b3g2dsren+Fr7A8xyq9Sp52w/37+WJl6nWlK1t3pnueoyKAIugt0Lj+aefd4aRfL3dfDNcuCCYmIAjRyQ7dkSOp9p8PFHo+yuTSXpP9Iam8V8m9LPuq4YUSCn5xCc+wcMPP8ztt98OwPnzyvawvkWTWb9+PSdOnEhc12c+8xk+/elPt33+zW9+s6dmVUuJgwcPcvToUXbs2MHevXuXfP3Hjh2jUqnwta99rWvJymPHjnH48GFKpRJf+9rXlnxfonj99deZn5/nT/7kT8IOwIcOHeLw4cNUq9XY7R88eJDDhw8jpWyzEJXLZb71rW8BcNtttzE5Obngfdu3bx+HDx9GCNFX47fFYu/evVQqFQ4dOoQQgm9/+9sY3cyKS4DXXx9icjLP+fPzHD3arKFasswa7wA+NpNWZ/XlwIE1lMsWc3NTDA3Vee65dfi+oFa7RD6vXjqD/ikK/jnKxmnmjENt6zh+fIiJiTznzs1z8KDal6HyS5w+nuW0U8AR7RWrklD2yhyYP4AtbMqvlHl25ll8fNzXXArCYah6kCPH1lDxh8l6h5kzLlA2DnPhQoETJwYZG6sxMzPd8/b6gSUrrPFeQmIxYakJimee+i7V+hFervtgOUy9Ulc+4sk5zqw9zpB/nJo4yrR5rmldZuVpLlYucOjwzUwct3DdC7Hb9DzBc8+pGbead5qXyi8gEHivNVjWiy+uxXGMpjFrxbnaOU5VT1EwC8ii5MD+H1CrmQyXXySfd5k0PfyWBmRnzgxw5kyRS5dmOXasQtWrsn9+P4YwqLxSYcA/Q9E/Q8U4yaxxLna7x8rHuOhc5ELuAiezJ3s70V1wqHSIaXeai+fWMmBd4P9+exZ3XXMBhKw/xYh/GEcMcNls9xjMuDO8VnpNnY/XbTLe64xtPIYzOcvU0cG25aOYnbU5eHCMfN5g79695PzLDPtHcMQgl83FKZXlssWBA2uwbR8h2p+HR46c58zZAnurk9TXPYsnPeoH6+RMxQbPnStw6tQg4+NVzp9XE3Ivz79MySsx+8osI/YIAPvn9lP1q9w6lcEvFzgzfYEtoyepinFmTHUtTtQnOF45jnfWwZwrMTExx9Gj7ZV5QBGlZ59V73Tb9pmt1WD6BU4dl0wPTjcfY+Qep+VxcqR8hInyDPOHsoxYI8AFDh6zOXLyEnPlGb7mde55c2D+AGWvzJnsGU7kVDzx6qtjzM3ZTE/PMDbWeDfk/Ynw/nRFjqJ/juOuwUs1n+P2cY4WjgLKdvXs7LMAeK95TXkQe/fubXneNq61Y8eGmb3sITa8TLV6lJcCJaFcLDNgxSvrGlk5zYh3CEcUuWw2zt/h8mGmnClOZU5xoX4BU5gYh9X7ZmIiz/HjyvdpiRrr3ec4557heXeOi/lp1mbWxm7rfO08J6snGbPHuFy4HF5DU+uPMr/5FSriOLPmqXD5Q6VDVNwLZLM1Bqw1TFouVa/KS/Mvcen8GJfOrWViapqvcBarg4o4PZ3h0KFRCgWX6elL4eeN8Zrm1VeTcwQvXMhz4sQQzz8vueOOS2Sz6pl4unqas7WznMyc5Fy++bk0M5PhtdfUNqvVS3Gr7QvLEf9pxPWESsJVQwo++tGPsn//fr73ve+1fddqFZFSdrSP/P2///ebGkrNzs6ydetWnnzyydC3fqXw4IMP8uSTT/L888/zxBNPLHnC8YkTJ5icnOThhx9mR5QCx+Av/uIvuHz5Mrfffjvvfve7l3Q/WnH27FnOnj3Lgw8+yI1Bhk8+n2d2dpZ77rkndvsbNmygVquxa9eutu9/8IMfsGvXLrZt28b73ve+Re3b8PAwjuOEDcOWG47jsHfvXp544gkuX77Myy+/TLFY5Ed+5EeWfdtInwPPTnD2vMUNt41z3XUt39cuIi7lwBpErnu046pGRgSXL8M990gGB0FKgWHAu94lG5Ls/FHE7KvI/GYYbS+Z+sorcOyY4LrrJLfeGvzkkEHO9tg0eD+PvK130l5xKuSO5zCEwbtveDf+YTXr+sTOJ8gKiXMqj2UZ1IwN3HP3MHL4Niju5NVXYe1awY4dkmD+YenhVRAXsiAM6uNPsHfvXh64/26mZopQh8GR25gevod6Hd70JsnmsbOIqechswY5/mDTqk4fPMXZ2SIlsYdNwzfx5JMy1p5RKqlnpWnCE+/YTfaoms1/x/XvCG0j+bygVIKHHpIkzSHsu7CP9bPr2TW2i5vW3ETGEjgO3HPbJPmsi1z31jY/vO+r2c6REaUGeb5H5qhSLh/Y8gCDlZNkqhuRA9fD0C2x233mzDNMlifZvX43W4e29nGyk7Hh3AbOzp9lcn2G8XNZdmzayI2PvbM5obh8GjE9DNm1yDX3t61jqjLF4OlBClYBf+x+SlMmazacZGDtdvbc3Pn5MTMD+bzPyy8/p57/tROI2ZHE+6MfXLyoFJqBAXjssfaZTGf8eZ5/0efWG3ZgbPWRSB7f+Xhoazl8GF57TbB1q0S3VRk5NcLl6mXu2XgPGwbU7Ld1zKLu1dl52qcya7Lp+k1sHluHLGyDkTsB9U6erk5z6KURJicM7rxTsm1b8r4bhggVwapbxds2z/AwvPP6dzYfY/kiuTM5BuwBHtvxWNN3+yf28/qlU5y3b2Hz4Gbe8Q7JwLOzzGQOsesml3c/+kDH8zd8apip6lR4nQOsWSOYnIQ9eyRbtkQWLp9GTL+orhFrAFF6na1iiOz8LGvya3hwy4PhsfC6ymt69w3vRgjR9Py3DR9xIQcI5MZ3gRCB5U9gbz/Pm2+e5aQ7QtbaCMCj2x5tqu4Ui9ok4tIQ2EPItY+EH78y+QrHpo8xmhtlqjpFwSrwtp1vA1T+wrPPqoe2Kee5967LHJ0Zx7C3c+v4rVw32vqiUDh48SDrptaxfXg7d6y7g+PH4cABwY7xMe7YVmi7rjee38jE1CFuNefYMLwTuf7tvHD+BTJzGcpnt3PkCIxsusxDj97GeCG5dfOlSzA01H6t53KCcrnz8wwUEX36afX+WrsW7r9freOliZc4MXOi6RrQOH8eBgcFo6Pw5jcvTikIx38ZCs5A96avUVwVpOBjH/sYX/nKV/i///f/siVyJ27YoB5K58+fZ+PGjeHnExMTbepBFNlstslvr2Hb9rINShLWrVvH6OgoJ0+eXJbtFwoFTNMMbUGd4LoupmkyMDCw7OdhcHAQ01Tyqd5WrVbDNE2Gh4djt79mzRpM06RUKrV9f+jQIUzT5I477lj0vvdzzpYStm1Tr9cxTZOhoaErs+35YwzUX2bYWEM2u7E9kdfxwbQgU+hcMgTlQ7WCMvOVivr3yEiLnzk7oNZn+LHry+cbnmLbBqREoGxwmVy+r3MiTIFlBiszCP+dzWSxhQGWqo5hCU99Z2fBtsNupYODXQ954TBR5wGQlgrILUOStbMYvtrfQsHC91WSmp0pBOdNNu+U74HwsS2TTKYYdICN32/fV8dVKEAuY4bnw7CM0I+dzzfyDpKOvebXsEyL0cIolmUjpVpvLp/DElUw43dgXcQWbGOTs3O4vssPzv2Aje4E9wyvAzufuGEXF8u0GMwNLtm9kbEz6ljWCcyJDKWSCb6PnYu8H0yhzn1wfbQi7+fVuTQALHyzgG0ZZA2/637mcmCaLp4n1PO/5qht5YYXffHpcSkk3LrDwxam4VGpGAwFxuhsJhteC6apfp+NHHbGzmA5FoZpYNs2Ukp8fCzTIpsxqJs+piGD+ynXtOF1mXUcEY0u150OL5+P+MFFDsc2QaiGaU1Vg4L7upAttJ3rYrZIJmOCUCW/VcqDwDRMCjmz69joY83a2XDZTEbtv2m27H8mp8bNFGAaYFoMZIawKmXqsh7+vuSVsEyLvJ1vs/Pato1tWeFzAVOCmeHYMZXvtW6oyvCQhV0ewQoqpuWzPTwTvUywb807PVIYwZqzKLnBPkXWVSw2nsM5Q2JbFrZdwDIbYx8HGYx9MVsMCn6o9UiyjXsk8ttitohlGkghsawMs36FC+ULWKbFzpFdTOQukLFnKHklNtobY7cJ6j7S757orimrZG/P8nvugf/zf1TS8blzsG0bar8Sri/DaL8/FoPljD/7We+qrj4kpeSjH/0oX/ziF/nWt77Fzp07m77fuXMnGzZsaJJd6vU63/nOd3jooYeu9O6uSvRTlvRKJRpDfAOzbgm2SV2N5+fnOXlS2QluuSV+lrEfrGT1oYVUHloUchvxfcjIS5girvJK93KkGtFkLz1EbcKbXk9ConG0RjkQ9igAMPvs4xGtLV2PdAhVfQrMsMeAIas6BRnonpy2JIhK4TqR1dcVPiwc3+HGG2HrVtVkp1HCtMUbKh0cz0UiyGbVPZV02UbLrAohwuCq3wZm83V1jQ5kBpqWs+yY5OkOiCZalmszKtm1Q+LkciUaA+QKHpmcOvhLEy3Xpj6eLtWHqjWVQ+P6NpbtY/VwHvQ1pnIKaFQeWsZypBq6q/F8yWvcY92qD0UqLUFLcydLnT+p77WYRF59X3e7laMxjGVaWIF1sTXZWG8/rjqMKgsKXjAOntdINLat7qGPGUmUDj/rmmis+hRAI9G46lbDymdhWd2kSm5BDxVAdSr3QTuht21S952ZGQkXX2hJUmj0KtCJ2tFk2ug1k7HV+TOC7xdSfciRwfXsNdvv1HI60Vjw2sXXANg0uAnLH6SQKZDJesxUOzctjRsXx2lcw0nVh6IoFlV+ASjFulq9NhONVzUp+MVf/EX+63/9r/zRH/0Rg4ODnD9/nvPnz4eBpBCCj3/84/zmb/4mX/rSlzhw4AAf/OAHKRQK/LW/9tdWeO9XB65GUpBUfUhbu6rValPA/uqrryKlZPPmzYvqT6CxktWHlrryUFdYeRwxAoDtxni5F0gKtFrZNhwd6nBDTPWhsEeBgZ3p/3Glg4VoMCGCahxGUP/apKpeHjHVh5YN0Zr3+iUrFSnQDYI2b4Y9e4KgLGxe1vJC9uu4voM0LApBUJuUP9lanq+p6VaAbqTA8ZzwxV/MFMPA07ZBhL0U+icFQnoqYEooSepLP0wiXdKSpJFZ56FRdY1fbCUFYfWtztWHSvMCKSVGTpW77YUU6JlGCBpF6R4FS9C4LKmbsUY+Z2LaPo7vUKsEqlG0a3EMKdDf60Ay2txJtPbSWCJSAJDXvWNaypJ2qiOv730pIqTADRprWd0jub5Kkrb0KVDbyKsEaCmpuOo91xOx1YTBq3HmjLpvczkYHwlIgd2YaenWa0HtW3tJUqCtyWD0HEaD6EyQUG4E+9ULKdC9RPQ7oS4Di5NbaiIntmkjpMTxXObqJc7Pn0cIwU3jN1EqqYmHbN5jujrd8RDjOhpHFc9eA/frrlPqtuOoAhy99ClIScEVxO/+7u8yMzPDY489xsaNG8M/X/jCF8Jl/u7f/bt8/OMf5yMf+Qj33HMPZ86c4Zvf/CaDg118dtcIdIDfS8LsSpCCaAJMt4A4m82G+xZVC1555RUAbtUm9EViJZuXXXFSANTEJmBpSUGiUhCtwy3bfZhtpEC6uAtoXKahE/miwUT4kg8e9EKXjmwhBYtoddEbwrKkwfb9OpawlFLgtUTl0T4F0fPm1XF8B1+Y5LNqfUkBfWt3zzhS0K2BmVYJclYOy7CaSEFsmdUOiAZGhvRU4JQwG6+DKUMYsbPCC0U04BseU9fD5cla86UZNi/rTAqqZdUdOFMIuuni90SQ9K1empdXVCkwhUku7+H6LtWyiSGMplnxXvoURIMmoQPUsBFde7Skr6tu93Lr9yEp8OJJgR1DJnUg5wcV05RSoPY7m+keyWmvfrT5Wm+kQH0pDGUTgkavgp5IQagU1Dh2TP1z504wPHXvWYFSYAija8fsYEeCfWt+3uatfNN4R8+htuIA2KY6f2aQgN6JFOjj1EpIqBR4OfUMkxKcRg+phlLgcGJGqf1bhrZQtAcol6FgFcjlm8umxiGuo3GnbsZJEKIxEXP+PJw9o05C3PWVkoIVgJQy9s8HP/jBcBkhBJ/61Kc4d+4c1WqV73znO2F1ohSrVymI62rcS0Dc2sCsVCpx/PhxYOlJwUoqBUlqyXKggvJqmu4lVSc9irBxWXdSoF/k5XLjgZxoH5IythFXW1Aa2IcWSgp0YNCkFARvOxE5JvW+NJT9I3jnLfttYESC6KC+eVQpkNGXePSlFA26paPq4wurKyloVQp0gBetO95NKYhah6LLNXVd7pEURDsTC+mqgCJBKVgO6xA022WGRjOYBrj1Gk15eV3sQzqYrpRNfHyyRZBCBdl43Sdj8nk1zuX5qroQhQHm4o9Tj3cSKbAMi1zew/EcqhWzbda5k1Kgr5locyddKU2Gzcvaz5e+t7pZnNuVgmzT9jSSGpdBI5Dzg/HzfXAc3dOge+hz8/jNPHH9E6wrNpJhku1Dmi14ERJphBadsqPInp6c6EUpmLqkrkPThO1bauHz0s6OAL32KIBGn4JmJiOEaOq0HD2H0caNmhQYRmf7kC/9UBHRKkSjOR+gFQ63mRQIJCWnxExtDkMY3LTmJqpVNV4Z22J0SJ2rTmqBHhcpG9dtx670HTA4CLt2qX8fOZjDqYvY60tfyykpSHFVYbWSglb7kOM44T52IgWteQWvvfYaUko2btzI6OjokuzbNWUfQvk9HYYxDKmackWhX8JG9+kW/XCcmlJ/R5PVQggjMuvdfn7bcgr8BilYSA6WnlXWwUSTFSBKCgL7kCYz/UjOC0ZkZt0Iut+ahoWk3euPMNrtRoDvqbrrUlgUskGzti6kQN/enexDSRakVlIQqxQswD5k4FNxku1DPQVTC0D0erDsPINDYMgaF6JVXbs0LwN1LrVSkCu4eEYmIAXdS+jqW72mW6qa+YSuef2hm33IMiyyeRfXd6lVrLZZ57iZ0NacgmalICAFmsyKdpKhA7Z+7EOGATmrpdldgE4dZ/VnTUqBtg/Zvd3crddbP0oBGOR1V+MW+1CUELcheNZeOKeObcsWsEVwbVgFckE34rhANRYJ9iGgiRS0nsOQFFjBs6mLUlB2ykgpMQ0zPG9NJMoO3BtOg3FrpUBK1Vpy+8h28nY+7C6cz8NILnjn15LzCqLXaFi1agFKgcYNN8DAoE+tJrlwutDRPrSQyarVjJQUvMFxtZACHQybphlbGUqjVSlYausQXHv2Id+HmrERQwCVFgvRAuxDc8FEUGJ136iFqAXtOQWqWZkv7CWxDzWVKo4ck4QmUrCQF0nfiHjwjcDCZBgZjJgEYPVl8NKOJBs7jrpepGH3rRR0IgVJfHgplYLmnAKXilvuah9acqUgMjtuWgVGR8CgxsREZCG/s1IASnGolE186StSIGx1rfWgFDRIQUAgliCfALrbhyzDIl/0cHyHStls6/DbU05BJBFT24fCgLllfVGi2Y99yDQbQXRrTkGYaNyjfchxA/uQvbBILs67DkSO1Y8oBWabUtCbfUgda3lOHevatYCr7jusAUZyI+xas4vb1t3W616rv2Q7KSjajfdMa+CrnxOhfcjqTApK9VLbOptJQfBCaLEPiYBEGobFrjE1Ra9dxcUijORGgM5KQfQa1WPT+rzrB4YBGzer466UrFhV5o1qH3qDcZwUregnp0AHwVfSPqRzCqLBcKceE1GloFKpcCwwXS4HKVBdfv0r0kBM44pXHyKQ1cUmDPMg1CaVTN06m98HKdBIzPnuUIEoLqdgKe1DTbOhhkoI9f12pWDZ8wkgMrvoInCBLBgZbNOl5tZwfIc8kR0RFlBrmol3gsRU08yTCSq09Gwf6lB9qF+lIJNh4UqB9BFSUvPqeBjEvWN7mmFdAJqVozzDI2CcqDE1pY4tk6EnpcDAol4x8Yoe2bxDqZLFoDf7kO6XWdOR0BLkE0BvpEApBQ7OdIYffHuYyiuN7/WEf1xOQat9SJECt+l3SaTANLsLIVGlwDQbHvW26kM92IeE4eP5Hr5vhqSgl0TjOMR519VGIv6V0G7Wbh/qJ9G4VlHHOjBAEykQQnDz+M2973R4sttzuKLJxq3nsKEU9JZTUAomKKLrjJ4vaQ4qI1NEKVBjpE7mpsEt4f2tlYJCAYa1UtBDBSLPa4zNYgtGZPPquOuVXGxM8kYlBalS8AZHr0qBlPKKkoIkpaCbl14rBTMzM7z22mv4vs/69etZs2bNku1bVKm4khYiKeWKKAWeB54oqpkcKaESsRD1QQpag/ZEpcBIVgp0MCBlEETIpbEPhUoBkYe7maH5dWmgU1yuwC3QYh8K3jCGHc5KdUw2DlB3guRDK981H2Cx1YeklGFw09E+1KdSIPTMqpSU3Pjn1HIpBVFSYFoFMjYMFtQ+hGpBD0qBW8sgpUAYHlbWxTMCj30f9iG3VsbzucJKgYud1dPeQsW0spkQRMl9q1IQax/qohT0Qu7bSEGCUtCpOoxpmEEyrrrGF2IfakVX+xA0VV+KJhr70g/3t1uiseOA72g7LeBoUrCQ90Ik0bgl2bjJPtSitoyPq+MdGtD2oc7Vh1onDKB5rF0R2Ie8aniOTMNkJDtM1sqyJdKQUJOCYhGGs+oCLDvltpySKFrzPRaaU6CRLaptebVs+3jzxiUFqVLwBkevpKBWq4Ve0E72naWCJgX1eh3XdXsOhrVSMDs7uyzWIVAWJt28rF6vt5GkarXKvn372L1795ISKH0u4MqTAgCjsBHqs8pCVNyqgiH9hl9KpSC0D7U/4PUsoiYFVvAy9xdbfciLsw9lwxw8v0UpuCKkILTbeIhwNtrGDt7hvdiH3MCrbFmFjgF9XM1uTQq0Pxw6k4KyU8YPkqF1UNOzfcirQuUsFLaGx6Fnf41g+1IYzNXnGcq1Xzh6/JYz0dgMgvGx4RonJxQp2LKFyMxv8tu/XlHe6GzexZc+vpFVRK8HpSCTAdOUWLJMrQaFBQV+zfD9RhCeWH3IMDFNuPOBi7iOwWhulIdaugxbVouVJyGnwDYaicZ+glLQa+Wh1mU6KgUd+hTozw1T4kkPxwEvuAlymYWFPh0TjfWDSz/XhEHBVtdrxa00VdDqmA9gZqlUwaBOoRAQkYhS0DeackUkRCZGOtmHtm9XfVKMSw7UwDLVO7sf+5AROS2etLGtPLgVZSHKqhbD9266G3/aasrxitqHbNOmmClSqpeYqc6wtrg2dvutY7NYK6hh1zFtH8uwKZVUAnIUb1RSkCoFb3DooLUbKdD2Itu2sa5A5kwu15DkKpVK36Rgenqao0ePAktPCqBzXsHevXv50z/9U77//e8v6Tb1OchkMm3dLpcTOlgUhaBjZG1SEQI9ky8ajb46IfpwzGQ6BNZaKUhoYNZkIQpyCiQLzCnokGiMkVF5FBpXmhRE7DY60RjDDvfZaa3OFC4fJQXq7Wl3IQXRBGo929mvUqBnAot2w+LXk33Iq8PkUzD9Msy/Hn6sA0xdEtYXZriNtv2/EjkFwazpyLAD0mdiIphY7dKnADQpQOUT+B6esHtONAbI5TxMKmp2cwnLkQqRHITr8TcMyGR9CgWDXI6mP62/7awUqHPZzT7Ui+KXpBREZ4o93wttTHE5BeF+CdUcq16PNOpaaqUAmi1Ewf+zZjbsVaA98V0tcEaWalXltgwMoCZmdKlae5GkIKaBma6eFUdUDIPGrH4kp0DKditSnH0IWoJ1qz3ZGHxltYvsZ9Q+BL3lFSy1UlD36uQLHqYwwzy5KFJSkOKqhJ7175ZTcCWTjEHN2EYtRL166bV9yHVdPM9jfHyctWvjZw4Wg6QKRL7v8+qrrwJw9uzZJd3mSiUZa5i5QfXSkT5UL/RVjhSaH44de8h1SDSGlrKk2j4kFpdToK04TfYhI9OsFLBCpCBqHxK92IcaQbcmBd2UgrgXpJ4lTyIFre/9OHtAk30oTinwPbj8Q9W0CKA+1bZvDaXAZK4e8/alh06wC0RT9aGg6s/AAGTtOo4TVNLqUpIUWkiB9PCNTGAf6q4UAOSydQxqapyWwD7U1FQuwb/fmjzZS8371pyCqKdfBGU+uyUaL8g+FIy74zltSc5CiGSlwFBKgSYFnu8hDIltLk4piCUFreFUEGxrC9HlymWgB2JrZKhUFFkeKLpBwy+p7q8FlaqNXAAtpMA0TO7ZdA93bbwruf9HcJ6tyLaj6iIE5UiDHgVRpQASko0jZUkjLBJQ166+VjQp0BaiThWIokngntd4Di5UKXA8h3zRxTKsWFLQz/V8NSElBW9wRO1Dcexe40qTAmjOK+g1ILYsq2mZ5VAJILlXwfHjx8Pk6ImmEiWLx0rlE2gYBpAL1ILK2Ug50t5IQfThmJhPEF1fQlfjpmRX2bAPLSinoGUGMS7RGAhU9StNCloTjdU+6X3uxz5k28WeSEH0BRnah2L6FKh1N68jjhQ02YdalQIpYfpFqF1uzALWp5vWqaqPaFJgMVdrf/t6vrcs3YyhJafAsMDIIoB140FewQXZCKQ6kIJaObBE5VXQ6hkZRUD9emzVl1YUs+rer9TsxLKs/aBbPgG0k4LW6kNx6KQUhH0KuigFCyEFtmmH29Z5BZ0al4Xr0fYh31OkQHoYpuyjxn8zEqsPQbuaGhy/9u1PVRQh7k4KLCpV9dvBQr1BqBdiHYKge7omBu3X4vqB9Wwa3JT8+4AUm1ZD3W99NmnrkGVYbUqIJgWuS2xZ0sb9pU6uVglyucZv+1EKfL/xvDOM3pSpONS9usq5MSzmYwTMVClIcVVCkwIpJU5SBiIrSwrK5XJfAfFQJOJcblLQah/SKgHA3NxcU0fmxWKllQLDAArBy6E60bA+9EgKog/HzqSgd/uQ9FxVuWKhOQUts1/NOQWN7yQgMRYtOfeFIDARvhfOljclGrfZh9oTjb2AFGQWQQqiL3jDaAQ+revpqhRESA4As69C+ax62a+5VwUmfl15igPkrFyYT+FjUHJKYcAZ7ntwnZiGuaTdjKE5ELYMK7zW14ekIBL8dAgka5WAFBScsG+Eoa+vHixEAzn1HKnUr0ySMcSQgl4sgrrsaKdE4yUgBa05BXob0LgeNFHsdE1kzAymIXF8J8gp8DCMxZOCjvahxtIAYa8CPcvdC7EtV9WNOlCoNUp4LpQURPYlrot8R0gZSbS3Y9VFSLYOQUIDMydK/puVgmg+gYauQFRxKonJxlFFYime4/P1eXIFl4yVTe1DKd44sO1GAlgnC9FKkIJoV+N+OvnqvIKxsTHWr1+/LPsWpxRErUM6uFxKtWAllYLwwWYPqQoX0ofyKfXZAkjBUtiHXBe8IJJYaE5Bq0+2SSkQIjw26UOtbqiGsuIK9SkI7UNeRClo5BS0KwUtOQW+i6NnSyOkwHXhhRea/5w8qb7rRgqgEUh2Uwp8v3H9NCUa+y7MH4c5lfPD6B7IrYv4iRsWgKyVDZUCw8yqClzBrKPGcuUTQON60L5qfW2uGVXX5tysS92huXlcC+p18D118du5emitEEFiZk9lSbNBaebalSMFrcpAL/ahsKOx9FQnbak7BNthf40wYG4hGZpkLiSnANorEEV7JCSux7ARBqFS4Et/+ZSCVlLQohSEhTy6WOB8H6p1dUzFfA28RSoF0LGBWUfIZlKc9MyImzDQaM4pGAgmB5zGfZGgFERfg5ZhhYQjqTRpdDtL0W9mujpNvuhStIuUSu1EMCUFKa5KCCF6qkCkScGVqDyksRD7EMC6dart/B133NGxp8FiEJdTcOrUKebn58nlclx//fXA1U8K4hoUkQ8sRNrq0UM3Y1ABiBDqhd7xEEL7kKs85y2IznhrUoBhsZB2Ea3Wgqacgsi+SKBaVRvIZpekoWx3RDz40ZKkep8Tcwr0i9qvq6Q/IchY+aZKMadPN//RM12tL1pof8HrdUSdc47nhDN0+uXclswa2ofqMHNA/XvoZihsVv/OjAQrng7Xm7NyoUqSzyjS0JpsvFz5BNAINLXvW1/rGbPG6CgIXGZm6Ggdmp9XwXI27yFFI1A2dBWhHkhBPqNIQblW6HsyNw7duhmDejc0JVr3YB+K5hTo69MQRqCy6NloYis19aMUmGZjdSEpaKlA1LN9yFA5BdWaH3Tc7e1Yk/YLelQKgiA3WvYTupPbUgk8spgGZK36IsuRhjuj/urBytaESHlV9DiTbB9qzSeAFlIgjMZxhBaiZqWgNclYo5uFaCmVgqpbpepWyeYkg7kCvt9QMDTeqKTgDZYikSIO2WyWSqXSEylYCftQqVTqKyB+85vfzPr167n55j4auPSJOPuQLoF68803Mzg4yJEjR5aFFPSiliwVYh9s+Y0wd6Tx/x6VAtuGBx9sfqHHwrDVy0H6KoA0mjuFRZUCN/DPWwvsQCqEwDKs8CXWNhsaHJsvBbWaeildsVugKdG4IdFbQROorvYh31GztcJSVU4MeOCBIDk2BpYFmzc3/t9aXlIjroGZDtRzVq5hb4rM/ApBsxdeSihug6Fdjc8yI1A6Cc50+JGyDwWkIDsELszV59jIxnCZ5VQKclaOB7Y80Fi32bC2rVkD85dd5uZg7YbkN//8vAoys3mVZKxzNISVB7fek30oZ1UQgCMLVCrtAVG/6EUpAEUM9f72Yh+K5hS09gjQirTns2hSoJer1zsoBR0al2lkzEyYaFypBoqU5S+/UhDx8YeEM0C363h+Hnyy5PIoi6UuR7qQykPh/iR3Ne4I/awJ7u1EUtCrfQiUGu3MKwtRbl2bUhBnHwJFCs7MnkkkBdGx0dfaQuc4tRoxmB3AHDaZnlbjol/NUqakIMVVjF7Kkq6kfejy5cuhtFro4W2YzWa57bZeW7wvDK32ISllaB265ZZbws8vXLiwZNvU+QkrrhRkRkDXk4aeqw8B9NxDzsyq9fs1IJkU+GGS28IfVbZphy+xVmVJikApkFc4yRia7DZhnwJTdTSG7vYh6dWUUmAWwsBodFT96QVJL/i43IRO+QRh4BkNinJrYeSO5g3agaes3pD/C3YhVAqKmWFwK21KgQ4Cl4MUAM11z3WFFb/G2BiclIoUdFMKTMMkX1CWGk2yDKsI7kxPSoElqmQzMOMVKJUWTwr0o74XUlAjptt3AqI5BeFMfWB3a+r8HkMw+iUFtt1CChKUgu72oSDR2AmsTpaxYIW5Z6Ug8u9+lYKQFOQAd7YRmJuLeC8s1D4UkgI1aHHFCaA3pSCcZLCGgLMRpaC7fQi6VyCKSzRe6LNcb2M4OwwDMD2t1NYNGxrbaN3uGwWpfegaQC9lSVdSKZicnAz/b66SO6zVPnT69GlmZ2fJZrNcf/31oYVpYmKiY1WnfrAqcgo0co2Z2l6Vgr6g1xmTbBxnHzIWqBRAs72gNfCRxgqSgkhibl8lSQMC4QRVSXxhdm6GlIClIgWh/1sYMLAD8htg7J52D749pD6LJBtvGdrCWG6ITYObyGdUEmJrBaLlVAraEEmCHxtTZSFrNai7XUiBMMMeBQ37UBAM9qAUmLJGLgeeKLTZFBaCXuxD0NK8rY/qQ5702oLyppKkHZSCXqvBaPLQLaegU6KxbdqYBk1kzTIX7g3sPdG4ce3rXgXh/7v0KZifB19kyOdRlbtAlantQclJhrYP9Zto3FAwgdgiCK7vhvdo15wCaK9AFClJ6rqNgL6VGEeTjVs7W7duZ7E5BVqNGMmNhE3LosnGUaVolYQsS4aUFFwD6CenYCVIwVTgd7iSwXA3tNqHtHXoxhtvxLIsxsfHMQyDWq3G7Oxs4nr6Qa+9GpYSsUoBNKoQwTKRguRk41ApcDw8V70wFqMURAPm9pyCoDrXle5RAC3NyPRA2MklSVvsQ/VAsjfM3IJmPqP+8Cix7ZUUxAaeI3eoSkNx9gxhRAKCabXvwuCOtTezZWgLA4FneL4+37Q/V5YU6HyXGrYNg4NqDGZmu+cU5Iseju+Es6iGbkLWTSnwagh8slmJRyGcKU1c3IP9+yGYS4lFP/YhjZ6qD0VzCloSfY1o87IYUtBPR2NoXIeLySkI7UPSxQ8edhlr4VFcz0pB5FxGexV07WZMi1Kgr51FVR5iWe1DZUex2IyZiSVoiaTAndfdAcN91IQ4k2knj5Zhhc+fOLVgKXMKtH1oODccSwrCVDfjCuWfXUGkpOAawGolBdoqpB/WV9JL3w1R+1DUOqRLoJqmyfj4OLA0FiLP86hUguYvq0EpsEeUhzWaGLaUCCsQtZeXCz2orqv8yYCdWZx9SCM5p6BBCvLNbqblQ2hJiSTaGVZyR+MwMdkH6YdKgbXAZlfRgDCaV7BgpaAXxFiIdMnDnD2IaZj40g8DDYgkGnfrBLsUiOQUAIwOB6RgLv760wmIWimIqjs9JxoH3WozuRwIoyspOH0aTpyAl19OXmYhpKCf6kOxOQWBUiCXKKdAPwb1/biQnALbUInGnu+F17htLTzsiSoFbZPuCUoBNCxEvRDbUilCCjSWihT0XX0o3j4UJQVhp/OYfAKIySkwC+pcST9ozNYgBUlJxhqdko2XSinQScZCCIazw2Eewfx8Y8z1sbzRGpdBSgquCehAf7XahzRWk1IQtQ+dO3eO6elpbNvmhhtuCJeJWogWC21TinZ6vhIYHYW774Ybb2z5QggYfxDWPbrALppd0KFXgQ4yPUc3LltYOdJwfZGZxLYZdVNXHzKWpIxdX2idTW+ZjYtaUYBmX7vvhI3LLGth14tpmLHNiFpJQTRI76oUdIOuQBRJNtaBhzDscP3RzsZ6ZviK2of8OkgZkoLpmfgLsFxWgUImY5DJ+k011E07Qgo6zdAGpCBbLITr7IRLl9Tfc3PNFaKiWJBS0Ev1ocgMuCZroX3I0ISBJSEFt94Kb34z6KrTiUpBF/uQzilwAytMxl64UhBVVNvUgqZyx83b0L0Kul3DtVrQTdzINJOCxSQZA40+Bf0qBfH2oWhOQad8AojJKRCixULUmBRJSjLW0BaiuLKk0e3o638hz3K97oHMAKZhUiiocY9WIHqjJhlDSgquCaxWpWA1k4KofShqHbIj06K6R8JSkAJ9/ovFYnPC3jIjl4NNm2Dt2pgvzdwSvIwSELFptCKcWXIcPG/hjcs0OtqHdKIx5gooBS2171tIAbRYiIRo5BX4Do6zOKUAmu0gGq2koOJU8KWPaZhNQU2vgWcT7JHgx9ONz/QxRklBkFewnN2MY2FkGn4Av8ZIQApKZSu2KZzudDo40NzpVwiBYeYa45vQqA8ANyAFBV2NrfMuXr4c/28N328EYEttH4qqCZoUaNIdKgVLRAosC5XXEQyHVgocT3WN7rVPgWGooLPuBsqGvXilAOJIQTTROF4p6CWfACCTz2JEH1WLSTKGiMelz5yCHuxDnSoPQYx9CBpNzNy5JVMK9NhUKiyq30w0nwDUeqJqAaSkIMVVjtVKClorDa1GUlCv10NS0No9WSsFS2EfipKCawK92ocCUrDQVvXQ2T7k2+NUxSYq1vVh0HcFb4EWH3JgwxBGGKAlViCSDm4QTC5UKYD4l3wrKQjtAXaxSWlZmH1oMEg2dsJgOFrhZLClV4EOPE3DXHAZyb4QaWiHXydru2Sz4EsrttSrDhKGB2MagQnRUNk6JRsHSkFuoIgQzZ7oVlQq6o9GHClo6x/RAQu1D4EiixC1DzXOgS+bz4eU/Scat8I27PD6q3v1nnIKhBBkA+thaHdaRE5B1EPeVpa0AynYPLSZDQMb2Dmys+P69fVUHGghOiulFGj7kEi2D2mlIC7JGJJIQUQpiCQaJ1Ue0hjKKjJRdattycZ6O9G8hIX4/ZsqDwVozStISUGKqxrdSpJKKcPvriQpsG27qdrQagqINZGanJzk8uXLWJbFrl27mpbRpODixYt4sYWre4c+/6vpHCwrerEPRUjBkikFLW8JYRjMmHcz524BaGoAdkUQDXRFI7hJbGAWJhu7uEGgaSfI9r2gH1LQ+tJfkH2oKdl4RgUEOp9B2Axm1XfaPnRFrUMa0WtTugwOgi+s2AA8JAVDzdFBaMUJSUGydVME4yjsQkhIk9QCbR1K+j80k7VuQVG/zcuiv2m1D0UVTr+l2nm058VC7y8hRGghqjiVUN3qlribMTUpUNeSvQilADpUIBIm5y/A4SPg+s3nsmAXuHfzvawpdK7ZrK+ngcEIOTWsxVs4lzHRODppEIdoienGh4FS4MwRl2ic9Bq0DCt8RrSqBTqUWGyScatSAA1SkCoFKd4Q6FaStFarhdU+riQpaPXPr6aAWCsFbvAku+GGG8LPNEZGRshkMniex+W4iKEPXLtKQSf7kKt6FYjFkYJOJUmjkjNcYZUAmvIEZGQ/40r/AU32ITfw+duLSARfDClYkFIAzRYiGYkUWpQCKeWVrTykESYbV8F3GRxQ9rK4AFwHCUODzbXvw+vMDJ5vfodkY62YWIUwGErKK9CPmU1BcbCZmfYZ635sXf3ah6BxbEmJxqDOVxTRai2LcUdq+00056SbgqSVgpq7eKUAkkmBL01On1bNAy9eXNg2QlIwQOM6XGySMUSUi37tQw1rH7Q/L+I6nbeio1LglsJt+NIIn8Od+nQk9StoDdAXmmRcc2sIIUJVAhr2oVQpSPGGQDf7kA5ILcvCusLp9KudFGi0WodAkZqlshBdc6QgYtFoLeOhL0GBg+uAxF4y+1BrToGO43QQtpKkIKoa6H1utw81ehV4QaJxZhFKQZxNqV9S0JdSAJFk45nGTGSQX1GwCxjCwPM9Km5lZUhBtFyudBkcUmrV9HR7IBgN4mIDbD3D6ybYh6TfsBaZhTAYSlIKNCnYvFnlvkjZ3sF6oaSgF/sQtCsKjUTjxudSxpOCxb5etFKgr0nbtNuLB7QgF1zQWnVaTKIxJAS5wNS0GV4fk5cWFlo1kQJjCUlB2KdgodWH4kmBzifIWtlEchZ7vsxs4x0Q9CuoVgVSquU7PYeT8gpayeZCnuV6nYOZwSaS3GofWqrreTUiJQXXAHolBVdSJdCI5hWsppKk2cg0g2ma3NhWnkdhqSoQXbOkQMpGYBjANANrNy61+tLah1oDHx1PrJhSkGAfSmxgFvY2qOMFlpSlUAriSpJ6ngqCl9Q+BJGypNOR5khqP4QQ4YzjfH2+UY7UXMC030IRLUsqPXJZsLMWvq86m2rU641zUCwmNAILOyQnKAXuPGr21gAjGyoFcaSgXm8EJWNj6g+05xUsWCno0T7Ueg81SLfRyNFOUAoWTQqsZlLQS9O+rKX2L7QbLZNScPFSY71TU0ZsYnon+H7jOaSUguDaWVKlYKHVh+JzCrpVHoJkEhUmGwfPnlJZ7WO3V6CuQDRVmWrqZ7IUSkG0P0EUhQJhvk+lkioFKa5ydCtJupKk4GpQCq6//vrEc7NUFYiuuZwCYUSsMPEWIiFdHEf5k5erJKl+weuH/JVXCqKJxu05BYlKgVtuVF9Z4pyC6Lmu1OLtAa7bCIr6tw9Fk42D6DcSaGoL0VxtbuWVguC8jIyokxK1EOlZ3UJBBQfxSkHwfEvKKSifAaAmhkCIjvYhHfwPDKiAX5OCVltTP2RtIfah1uXC+0sYYcWc1kTjpVYKdHWqTknG4W9aepwsl1IwEViGhFDH3694XCqpORLLCgLaweuhuB2K2xa1v2qnlienQCsFSUnGkJBTAA0LUYByRe1jJ+sQKKXANm3qXp2pakMmaw3QF6MURPMJQL0nohailBSkuKqxmpUCTQosy2qz7KwkLMsKA8g465DGUtuHVpNasuxoaRQVhW2DQL1FpFi+6kOtzoOVtQ81rv/EBmZ6ea+M47tIYZK1F159SM8OR0lBtGrNVElFvjkr1xRA6sDTMBYQ6AmjMUtYn2n7OppsrCuMrEhOgV8PlYyRMXWQ0Vn5sFJMEMjHWnE6VR+SEsqnAaiI8aZ1xSkFettr1jT/PTXVPGvdj1IQVQd6tQ9Fl2uy7wgjjD1PnzGbiE2/3YyToJWCaBfdbsjZzctkF0kK4pSCUglKZRMhdF8Fg7Nn+1tvk3UI1D0yemfjelwUtH2oz5yCLvahbo3LoAelIEClovax27yYIQw2DGwA4Oxc4yQviVIQU3lII1qWNCUFKa5qaFLgOE5slZzVYB8qFotdvaFXEkIIduzYwcjICDfddFPicpoUTE1NhQ3IFoJrTimA5kZRLbAsMFAvJLnI5mWW0SB4rTkFS+FDXRSi9qG4RONW+5BWEOqqlJ8vzJ4CoyTEKQXQmP2fLsXPBC44nyDcQPDSjTYxC6C3FbUPrVj1oeC8jK5pkAIdV4U9CoIJz9hKPlGloDUgq02qz40MNTECNGZJo9YkDa0IaIVgYECNk+fB7GxktQHHXi77UHS5pmtPmOH+nzhp8ud/Dk8/rTow631aDLmHdhtZp8ZljX1UDczC/y+DfejCBdUAcXAQxsdVovXkZMzseAe0kYKlxELsQ77XuGZb7EO+9PGlv0j7ULNSoO1D3ZQCgI0DGwE4N3cutBAtVimoOJXYJGONaF5BSgpSXNWI+uPjAtfVoBSsxmD4Z37mZ/jYxz7WscNwsVgMZ/cnJycXtB0pJZXATLoaz8OyoUsFolApWKR9CCIVUlazUhBTkjTJPuTWVRQozGzPM7xxiOtQCo3gbabc3skYFlF5SEMnG8cpBSttH4pel4FSMDSkrkHXbfj6e1IKjKy6yKRsv84DlUDmN4VBW2gdodlC5Hmq0hA0FAIh4i1EC7UPLUQpaCakghtvhOuvh7E1Klq6eBFeeAEOHAi2t0RKQfz242GbNoYZIQXLYB+amFBEYGQECnnIFw18n74sRMtKCjr1KahOQCVmR8MeBSKcvGhtrNitcRk0zpeULXkYVot9qNybUgCwtrgWy7CoutXQ8rNYpUCrBK1JxhrRsqQpKUhxVcM0zbATb1xewUqSgsHgThsebpfrVhpCiKY+CklYrIWoVqvhB0/La4oUdOlVoEnBYnMKoBFkJ+UUaKysfaj3kqROoK6Y5sKtQ9HtJCkFSaRgwUnGGpoUxKhExYxSDV3fDferWyfYJUVTn4KgQ7FpMTqqPtYBeGsQF+vPFyKyvsiz13egck79u7C1afNxFYimplRQlc83d9zWBCFqa+pHxdFBdS9VfDSiAVOzUiAwDIM1Y3D3PSaPPw433dQ887tYh2ibUtBDTkHGzIRdjQGy9uIeJq1Kgevqa8JEv8bWrlXn6Ny53tdbKqnzv6xKQZQU+B5M7YOLz8ClH0DpZPNvwspgjfMlhAhJYdkph0pmL0oBtKgFhgVBN3ZJI6egl1egIQzWD6h8vnPz6iQv9lmelE+gEc0p0ApQSgpSXLXolFewkqTg1ltv5e1vfztve9vbrvi2lwqLrUBUCt7+mUwmJG/XBMKypMmJxgDCsBZV2xwaNoNuSsFCfKiLQnRGKpponFSSVDQH8Zbdg9beAV1JQWWZlAJroK3rq4YhjKYgwzKsK9PNONyBmMhVmE0BuO83ZvJ1sBBbfQjik40rZ1WAZg82rFQB4pKNW61DGtEKRNrp0Q8pyFpZ9mzYw5s2vKn7wgGSlQIaYypM8nm48UZ429vgwQdh1y6lIiwGreSwF/uQbdhNz4+lIgU6wL14UV0PuYJJPniFrluvFrpwoXcL0ZWxDwUXiVuCye81E4Hp/VCNqN0tScYa+l7UlXpyVq5jknq0N0V7srGy6dTr4PsCIZpJbydsGlTNOnReQTRAt+3++2H0QgqEUBMi+t5MS5KmuGqhSUE5pqzFSpIC27Z5y1vewtq1a6/4tpcKi61ApEnBNaUSQHNCZwtUTkEwG77IlzhEaql3yCnIZhfXWGlBSEo0Tupo3GIrshapFOiXebQkKaiXqi995iuKsC25UhBNNo5BdHtXVCWAYHY/OgOueihEA/ByuVEpRj82Eyv5xCUbl06pv1tUAohXClqTjDWGh1UwVK83gsp+8z22Dm8NZ117QZTwtM/UN0iBhhDKZ3/zzb0HfEmwjWZFo2f70BIqBTr41EqBfuyvWx+paz9kUiyqZXp5LTiOgeuqc7U8r4FIn4LKOZj4v6o/gJGB8QegsFld0JefDfsGhOWCk0hBYLfpVHlIIzGvILAQ1WoqJ0OX/uwFawtrMQ2TilNhpjqjbtvg8lvKcqQahtG4N3UOT6oUpLhqsXGjSsx59tln275bSVLwRsBi7UOaFFxTlYego30oKycwqSAxEPbiz8v64noyZoaxfPNUa/QFtCKXf0gKjKZAqqt9KCALlrV89qG6W8dxVIDb6ulfdKIxNCxEMdAViOAK5xNoRG0qwRiNjKjAoFpteMWjt2yiP79VKXDmoT6lLr7C5rZNt1Yg8v1Gg7JWpcAwCG1NWsHQs7HLVcyto1KQ3wBWsc0vvlQQQjRts2f70BLmFLTah/S1sG5dNJwyCF65PVmIKhW1T/n8Mk1M6DGrnINLz6oE+uwYrH8UcmthdA9k16jPLz4TdPPW9qHOSkGnfAKNbsnGtSoQkIJeYRom64uKzLaqBQtJMq57dQxhxCYZa+i8Aj32KSlIcdXikUceQQjBK6+8wtmWWmkpKVgc1q5dixCCUqkUBvj9QKs3hX6eiG8EJNmHpKTgHQSgLHZi2ouPbraPbOcdN7yjbRZoxUmBrubR0uypm33ICT5fTOMyaLzga24t7EcAihRU3QquKyja7ZXBFm0fgjbbTBQ62RhWiBQYEVIQnCPTVMQA4GTguojO6sZWH4J2pSBIMCa7rvFdBK32oZkZFUzZdry1JJpsrMclWlZ2qZGYUwAwuhs2vK3ZFrfEiOYV9KQUGI3qQ4YpF21Fiwa4s7OKJJomrBk3muxTmhRcuBATDLegWlX7tGzzQnq/tCo7eD2MP9i4/oQBa+4Fe0ARgovPNK7XlvOlz99sTU2Xd8on0OhWllQpBaJvlWTjYFCFqCWvoF+lIOxknB3smHA/2MJ1U1KQ4qrFunXruPPOOwH41re+1fRdSgoWh0wmw2gwXbcQC9F8oPtfs/ahVqWgcg5bziCxKBk3LLqMYSdEZ+VW5PIPXsqeaA5uutuHAqVgkTkFOsAqO2X2Ht3Lc2efY6I0gWlKKm4VzzFi7QGLtg/BVacUQCMAby1HCp2UAk0KgrKkZW0d2hK7aT03UKmoGUltHRobi7dWRG1NUbK2XBWeOyoFVwBRO1kv2zcNE8tUJ8Oyeq+ylISoUqAf9+PjQYAYkgKDkRE18+950K0w3bKTAj0BY9gq+B++tT2nx7Bhzf3q2ndmYfa1xucRRMuSQm9KQWIDM6sIhkW1JpDYfZOCdcV1GMKgVC8xW5tdsFLQqT9BFK3jk5KCFFc1HnvsMQzD4MiRIxw/fjz8PCUFi8diLETXbE6Bno2VnqqEASpomnsN04SScT1SZJY1mSsaOC3W77wg2EPI0buYMa5r+ri1HniIwN+ubUW2tThSMJgdZPeG3QznhvGlz9m5szxz+hmeOfddJsuTuK6IJQVLohRYg4nJxtHZx9WiFEC7fSd6yybnFETsQ7WLQW8CW1ltYpDNNoKocjk5n0BjdFRdx5VKo2zpcvaBbMop6CHRd6kRVQp63b62DFnW4plSlBQ0rEPBl/rcBH9rtaBbI7NlJwX5TcoitO7RxOsOUNWA1tyv9l8/dxLsQxqLyikQBow/wKR/P1JYfdmH9L6sK6qTf27uXLidOKWgbYIlgm5JxhqtSkGaaJziqsbo6Ch33303oNQC3fQjJQWLx2IqEF27pMCKyNqBWlA+Dc48pp2hLFSgvJwP3hVXCgDym/BEMyNp6h4coxZoW1FmCfIttg1v45Htj/DojkfZOboT27RxqVJ1qnjuMioFQiRaiEzDDGcgW8tQXhF0UQo0knIKEu1DoUqwOZEQQXOycVLloXC7FmEpzPPn1d/LSQpWk1LQS04BNBqWLbZxGTQC3Gq1keuxXudph6RAnaNNqkAOFy601Ohvgc4pWFb7UHEr9JKDlBmGsbsbMyYJ9iFQOR6FHtTKRFIAkBllpqYKjSzkFRitQpSkFJyaOcU3jn6D7538HhWnvbt4r6QgVQpSvOHwyCOPYFkWJ0+e5MiRI0gpwzKlKSlYOBZTgeiazSmAlkZRPswFkvXgDcggGFtO+9CK5xQkQAiRmAQcJQV2D37eXjGUHeL2dbfz5PVPcteWOxjODVMwhsOZuCiWJNEYOlqIdozsYDg3zHhhfJEbWQASlALbhqFIHmJTTkG0JGlc9SHpq1KkEFt1KAq93gsXFAEzzUbgHwdNGLRNZVmVgk45BVcAmiT201sha6mHiG0tPuTREwkTE0rYHByMqIyFbZAZBXsEUDkouZyyzSRZiHwf6vVlJgX9Ir9eKQv2EOSalYUoKchb+Z7sWDp4jivPGu3evZBXoLYQzdfnGV03z/CwsnNpTJYm2XdhH1JKpipTfOfEd5goNd7Tut+CIYwm22LScUT3MSUFKa56DA4Ocv/99wPw53/+51Sr1VAxSEnBwhFVCvT57BXXbPUhiFQgqkPpBLgVMHMYgzvCRd7wSkECtDWi1ppzIexQPcgsISnQMITBtrGN3DR+Ezevub3NoiFl4yW+aMLWIdn4utHreGT7I1e+JCkkKgXQCMALheagIDGnQBiN9Umpkjk7kCFokIIzZ9Tfo6Odq9Joa5Geib0WlIJeVQJo2IeWkhToADdUCQCGdsG6h8NEayHoWoWoVAouC3sF+qR0QmGLqk6Uab5Ho9d5L/kE0HiGxykFujZHLrewINs2bdYWldKQGT/LI480zuNsbZZnzz6LlJKNgxsZzg3jeA7PnH6GgxcPIqUMqyh1SzLWiL6mU1KQ4g2BN7/5zWSzWc6fP88LL7wAgGVZWG9Eg9wVwtjYGKZpUq/XmZ6e7uu316x9CCKkoAxzh9W/h27EzkTKc16hnILVRgq0r/7Zs89yqXwp/NyFkHhmFll9KAk62HdibLiu22iUtejgMzvW3hdgNcBIJgU6CNSlQDUSqw9Bc5WhLioBNEiBDjyTrEMard9fiZwC0zAXnbS7EOjKVL0GpACZ4CGy2HKk0B4IrmsX0pqgScH58/EWIp20frU8/ptIQY+TEp3sQ7rK1mKOf+NAUIVorsG8qm6VZ04/g+u7rCms4a6Nd/HwtofZMbIDgMOXDvMXp/8iVA26WYc0onkFKSlYxfid3/kddu7cSS6X4+677+a73/3uSu/SqkWhUOChhx4C4Dvf+Q6QqgSLhWmaYQO2fixEnudRqSiP4zVJCvRM49wRVYXIKkBhaxMRuBJKgWkur01pIbhz/Z0MZgepuTWePv00hy8dRkqJoxsRGTbWMiV66nPh++0vcm0dMs0lqKluFWHtm2HNfYtc0RKjSSlofvOvWwdvfjPccUfzTxKVAmgkGwuRWHUoilYbRTdSkMk0z2BeCaVgJVQCUM2lHtr6UF9dmHXDMl2FaDGIXvO23U4OWzE2pmauHaeRHxJFgxT0pzCvFBaiFHQiBVopWIx7dsPABoQQzNZmKdVLuL7LM6efoepWGcgMcO+mezGEgSEM7lh/B3dtvAvTMLlYvsjJGVVfuF9SEG2W9kbCG+KQvvCFL/Dxj3+cX/3VX+WFF17gLW95C+9617s4qYtJp2jDAw88QKFQSPMJlhALqUCkVQLDMMivSPmbFUaoFASNnYZuBmE0EYErUZJ0NV7+xUyRt2x7C1uGtiCl5ODFg/zw7A8pu0Gn50U2LusEy2qoKK1qwZIkGUeRGe0tAfJKIqpcxNS1Hxtrvy4Tqw9BQynIro3tTdCK6PyAEN0DT71PGlcip2ClSAHAmsKavmxluWCwcpnFzzBEZ4fXru0eGAoBGwJb/g9/CPv2NSpKQYMUXC3u0eh13kvlIeicU6BJwWLmxGzTDnOPzsyd4dmzzzJbmyVrZXlgywNtFsjNQ5t5y7a3NO1/t3KkGnqc3qjGijcEKfjt3/5t/sbf+Bt86EMf4pZbbuFf/at/xdatW/nd3/3dld61VYtsNstb3vKW8P8pKVg8FlKBSJOCbDbbc9LcGwrRGVl7UJXOQ71E9OlYzofv6Kh6Ye/atXzbWAxMw+RNG9/E7g27MYTBhfkLvHxRJWObPQSXi0GShWhJypGudgijQQxEbxdgYvUhgOJ2yK2D4Vt6Wlcu1wg2h4d7uweiJUuXkxSMF8ZZP7Ce60evX76NLDF271rLji0F7rmli9enB0RJQDfrkMauXWqG2fNU47vvfx++9S04cgRmZ9WD7mokBb3ahzrlFGj70GLrbOgqRIcuHWKyNIlpmNy/+X7ydvyEw2B2kLdsfws7RnawdXhrx07GUYyMwJYtcMMNi9vf1YqrnuvU63Wee+45fvmXf7np8yeffJKnnnoq9je1Wi2cIQeYnVWd+RzHwYkz0S4z9Dav9LZ3797N9773PWZnZ7Esa0WO/Y2EsbExPM/jlVde4bOf/WxPv6nX6/i+TzabvTbPv28gPDV9JIevb5lKEoF/XcZ625cKe/aov1fq9Pdy/28sbKSwscDz55+n6nnYvgcis6zXjBDq/D/9dPPsqOOoYTIMcJyrw/KwEAhpguciPdnzxeF5HhKJ53otY5OH4bvUP1vWlTT+mYxgfh4GB3u7/gcHwXVVgCnE8t4zb1qnrDtXyzNrdCDDz7zzJmDx++x5jfM8OtrbebYsZTm7fBlOnYKzZwUzM/DSS+qaAchmnRV7BvUD6Ulcz0UgsOgtbvB9dc5On263UM3Pq+8zmcVds2uya8L7TyB407o3UTALXffv5rGbAXDjZIwE3H67+nspxutKxH/9rPuqJwUXL17E87ywJKTG+vXrOa+LNrfgM5/5DJ/+9KfbPv/mN7+5omUh9+7de8W3aVkWhw8fxrIsvva1r13x7b+RUK1Wef311/t6uGjs3LlzRcZ/pWHJCmu8l6iLIabMZuHy1VfHmJ+3cd1JMpkORb7fIOhl/F3pcqF8gUHvCIYtOHFs+e7Zw4dHmJpKtmisX1/m8uW5Zdv+SmPYO0pOXuKSWcYVvU3jHpg7QE3W8A/5WD0qDBqt43/8+BATE3lKpcucONHbS/3ll9dQq1l43gS2/cYlbCuJatVk//5xhobqGMbUgtbheYLLl7NcvFhgbs4mk/F56qm9V4VHve7X2Te3jwFzAHG4N3V7ZibDa68le+BMUyLlJKa5uGv2SPkIU84U23Pbee7wc4ta15XGcr7/ddnzXiBkv/UTVxnOnj3L5s2beeqpp3jwwQfDz3/jN36Dz3/+8xw8eLDtN3FKwdatW7l48SJDQ71JSEsJx3HYu3cvTzzxBPYKaPKXLl1iZGQE842YSn+FMT09zeWoYbQH+L7Pq6++yjvf+c4VGf8Vh1tWNqIWy4XrKqvKG719w0Lu/7nSWQby6xGt3vUlhOep5kxxbwjD6F4m86qH9FXDsT4qPDmeg+u7iZaF2N8kjL/nQa3W3/WvVZxrMT3pSqJUau48vRjMzjp8+9t/xrvf/fhV8/wvO2Vsw+6ro/XsrLqe4zA4uDR5XZ7vUXWrfVWmWmlcifhvdnaW8fFxZmZmusa4V71SMD4+jmmabarAxMREm3qgkc1mycYUBLZte0VvypXa/oYNG7ovlKInrF27NqxC1Cscx+HQoUMrfv2tGBJq1dv2tRXc9DP+YyPbl3lv1PnX5RSvXfRXOH4x92/r+Nt2/4HStfj4WAmMjCzduoaGwLblVfX8H+7QXyQJ0ZyX5YKNTS57deZHLuf497Peq36eJ5PJcPfdd7dJL3v37g3LbqZIkSJFihQpUqRIkSIZV71SAPCJT3yCD3zgA9xzzz08+OCD/If/8B84efIkP//zP7/Su5YiRYoUKVKkSJEixarHG4IUvP/97+fSpUv8o3/0jzh37hy33347X/va19i+ffkl9hQpUqRIkSJFihQprna8IUgBwEc+8hE+8pGPrPRupEiRIkWKFClSpEhx1eGqzylIkSJFihQpUqRIkSLF4pCSghQpUqRIkSJFihQprnGkpCBFihQpUqRIkSJFimscKSlIkSJFihQpUqRIkeIaR0oKUqRIkSJFihQpUqS4xpGSghQpUqRIkSJFihQprnGkpCBFihQpUqRIkSJFimscKSlIkSJFihQpUqRIkeIaR0oKUqRIkSJFihQpUqS4xpGSghQpUqRIkSJFihQprnFYK70DqwFSSgBmZ2dXZPuO41Aul5mdncW27RXZhxQrh3T8r22k439tIx3/axvp+F/buBLjr2NbHet2QkoKgLm5OQC2bt26wnuSIkWKFClSpEiRIsXSYm5ujuHh4Y7LCNkLdXiDw/d9zp49y+DgIEKIK7792dlZtm7dyqlTpxgaGrri20+xskjH/9pGOv7XNtLxv7aRjv+1jSsx/lJK5ubm2LRpE4bROWsgVQoAwzDYsmXLSu8GQ0ND6UPhGkY6/tc20vG/tpGO/7WNdPyvbSz3+HdTCDTSROMUKVKkSJEiRYoUKa5xpKQgRYoUKVKkSJEiRYprHCkpWAXIZrP8+q//OtlsdqV3JcUKIB3/axvp+F/bSMf/2kY6/tc2Vtv4p4nGKVKkSJEiRYoUKVJc40iVghQpUqRIkSJFihQprnGkpCBFihQpUqRIkSJFimscKSlIkSJFihQpUqRIkeIaR0oKUqRIkSJFihQpUqS4xpGSgiXAZz7zGe69914GBwdZt24dP/ZjP8Zrr73WtIyUkk996lNs2rSJfD7PY489xssvv9y0TK1W42Mf+xjj4+MUi0X+0l/6S5w+fbppmampKT7wgQ8wPDzM8PAwH/jAB5ienl7uQ0zRAUsx/pcvX+ZjH/sYN910E4VCgW3btvFLv/RLzMzMNK0nHf/Vh6W6/6PLvutd70IIwZe//OWm79LxX31YyvF/+umnedvb3kaxWGRkZITHHnuMSqUSfp+O/+rDUo3/+fPn+cAHPsCGDRsoFovcdddd/I//8T+alknHf/Whl/H/4he/yDve8Q7Gx8cRQvDiiy+2rWfVxH8yxaLxjne8Q37uc5+TBw4ckC+++KJ8z3veI7dt2ybn5+fDZX7rt35LDg4Oyv/5P/+nfOmll+T73/9+uXHjRjk7Oxsu8/M///Ny8+bNcu/evfL555+Xb33rW+Xu3bul67rhMu985zvl7bffLp966in51FNPydtvv13+yI/8yBU93hTNWIrxf+mll+SP//iPy6985SvyyJEj8s///M/lrl275Pve976mbaXjv/qwVPe/xm//9m/Ld73rXRKQX/rSl5q+S8d/9WGpxv+pp56SQ0ND8jOf+Yw8cOCAPHTokPzv//2/y2q1Gi6Tjv/qw1KN/+OPPy7vvfde+cwzz8ijR4/Kf/yP/7E0DEM+//zz4TLp+K8+9DL+/+W//Bf56U9/Wv7e7/2eBOQLL7zQtp7VEv+lpGAZMDExIQH5ne98R0oppe/7csOGDfK3fuu3wmWq1aocHh6W/+7f/TsppZTT09PStm35x3/8x+EyZ86ckYZhyK9//etSSilfeeUVCci/+Iu/CJd5+umnJSAPHjx4JQ4tRQ9YyPjH4b/9t/8mM5mMdBxHSpmO/9WCxYz/iy++KLds2SLPnTvXRgrS8b86sNDxv//+++U/+Af/IHG96fhfHVjo+BeLRflf/st/aVrX2NiY/I//8T9KKdPxv1rQOv5RvP7667GkYDXFf6l9aBmgLR9jY2MAvP7665w/f54nn3wyXCabzfLoo4/y1FNPAfDcc8/hOE7TMps2beL2228Pl3n66acZHh7m/vvvD5d54IEHGB4eDpdJsfJYyPgnrWdoaAjLsoB0/K8WLHT8y+UyP/VTP8VnP/tZNmzY0LbedPyvDixk/CcmJnjmmWdYt24dDz30EOvXr+fRRx/le9/7XvibdPyvDiz0/n/44Yf5whe+wOXLl/F9nz/+4z+mVqvx2GOPAen4Xy1oHf9esJriv5QULDGklHziE5/g4Ycf5vbbbweUVxBg/fr1TcuuX78+/O78+fNkMhlGR0c7LrNu3bq2ba5bty5cJsXKYqHj34pLly7xj//xP+bDH/5w+Fk6/qsfixn/v/23/zYPPfQQ733ve2PXnY7/6sdCx//YsWMAfOpTn+Lnfu7n+PrXv85dd93F29/+dg4fPhyuJx3/1Y3F3P9f+MIXcF2XNWvWkM1m+fCHP8yXvvQlrr/++nA96fivbsSNfy9YTfGftWRrSgHARz/6Ufbv3980w6MhhGj6v5Sy7bNWtC4Tt3wv60lxZbAU4z87O8t73vMebr31Vn7913+94zo6rSfFlcdCx/8rX/kK3/rWt3jhhRc6rj8d/9WNhY6/7/sAfPjDH+av//W/DsCb3vQm/vzP/5zf//3f5zOf+UzsOlrXk2JlsZjn/z/4B/+Aqakp/uzP/ozx8XG+/OUv85M/+ZN897vf5Y477ohdR9x6UqwcOo3/QrAS8V+qFCwhPvaxj/GVr3yFb3/722zZsiX8XFsBWtncxMREOHuwYcMG6vU6U1NTHZe5cOFC23YnJyfbZiFSXHksZvw15ubmeOc738nAwABf+tKXsG27aT3p+K9eLGb8v/Wtb3H06FFGRkawLCu0jL3vfe8L7QPp+K9uLGb8N27cCMCtt97atMwtt9zCyZMnw/Wk4796sZjxP3r0KJ/97Gf5/d//fd7+9reze/dufv3Xf5177rmHf/tv/224nnT8Vy+Sxr8XrKb4LyUFSwApJR/96Ef54he/yLe+9S127tzZ9P3OnTvZsGEDe/fuDT+r1+t85zvf4aGHHgLg7rvvxrbtpmXOnTvHgQMHwmUefPBBZmZm+MEPfhAu88wzzzAzMxMuk+LKYynGH5RC8OSTT5LJZPjKV75CLpdrWk86/qsTSzH+v/zLv8z+/ft58cUXwz8A//Jf/ks+97nPAen4r1Ysxfjv2LGDTZs2tZUyPHToENu3bwfS8V+tWIrxL5fLABhGc0hmmmaoIqXjvzrRbfx7waqK/5YsZfkaxi/8wv/fzv2ERLWGcRz/nUHQTJ1KmGpwQiOi4IxQSBFkRAVCKPRnZVKLwuBSIEXgJnLRoqKi3ATWYjYtpLKdUBEaVMgUNsEsohqbQQKhmoqgBMt57qI4XNOgW3OduZ3vB85mzjPvvC8Ph5kfc877lwWDQbtz546NjY15x6dPn7yakydPWjAYtOvXr1symbTW1tYZtyStqamx27dv26NHj2zTpk0zbklVX19vQ0NDNjQ0ZNFolC3JCiwf/f/w4YOtXbvWotGopVKpKePQ/+KWr+v/e/rBlqT0v7jkq//nzp2zqqoqu3r1qj1//tyOHj1qZWVllkqlvBr6X3zy0f+JiQlbtmyZNTY2Wjwet1QqZWfOnDHHcay/v98bh/4Xn5/pfzabtUQiYf39/SbJent7LZFI2NjYmFdTLL//CAV5IGnGIxaLeTW5XM66urps0aJFVlpaahs2bLBkMjllnPHxcTt48KAtWLDA5syZY83NzTY6OjqlJpvNWltbm1VWVlplZaW1tbXZu3fvZmGV+JF89H9wcPCH46TTaa+O/heffF3/M437fSig/8Unn/0/ceKE1dTUWHl5ua1bt87u3r075Tz9Lz756v+zZ89sx44dFgqFrLy83Orr66dtUUr/i8/P9D8Wi81Y09XV5dUUy+8/59uiAAAAAPgUzxQAAAAAPkcoAAAAAHyOUAAAAAD4HKEAAAAA8DlCAQAAAOBzhAIAAADA5wgFAAAAgM8RCgAAAACfIxQAAAAAPkcoAAD8EjPTli1b1NTUNO3chQsXFAwGNTo6WoCZAQD+LUIBAOCXOI6jWCymeDyunp4e7/V0Oq3Ozk51d3dryZIlef3Mz58/53U8AMBXhAIAwC+LRCLq7u7WkSNHlE6nZWbat2+fNm/erDVr1mjr1q2qqKjQwoULtXv3br1588Z7740bN7R+/XrNmzdP1dXVam5u1sjIiHc+k8nIcRxduXJFGzduVFlZmS5fvlyIZQLAH88xMyv0JAAA/2/btm3T+/fvtXPnTh0/flwPHz5UQ0OD2tvbtWfPHo2Pj6uzs1NfvnzRwMCAJKmvr0+O4ygajerjx486duyYMpmMHj9+rEAgoEwmo7q6OtXW1urs2bNatWqVSktLFQ6HC7xaAPjzEAoAAL/t1atXcl1X2WxW165dUyKRUDwe182bN72aly9fKhKJ6OnTp1q+fPm0MV6/fq1QKKRkMinXdb1QcP78eXV0dMzmcgDAd7h9CADw20KhkPbv36+VK1dq+/btGh4e1uDgoCoqKrxjxYoVkuTdIjQyMqJdu3Zp6dKlqqqqUl1dnSRNezi5oaFhdhcDAD5UUugJAAD+DCUlJSop+fq1ksvl1NLSolOnTk2rW7x4sSSppaVFkUhEly5dUjgcVi6Xk+u6mpiYmFI/d+7c/37yAOBzhAIAQN6tXr1afX19qq2t9YLCP2WzWT158kQ9PT1qbGyUJN27d2+2pwkA+IbbhwAAeXfgwAG9fftWra2tevDggV68eKFbt25p7969mpyc1Pz581VdXa2LFy8qlUppYGBAhw8fLvS0AcC3CAUAgLwLh8O6f/++Jicn1dTUJNd11dHRoWAwqEAgoEAgoN7eXg0PD8t1XR06dEinT58u9LQBwLfYfQgAAADwOf4pAAAAAHyOUAAAAAD4HKEAAAAA8DlCAQAAAOBzhAIAAADA5wgFAAAAgM8RCgAAAACfIxQAAAAAPkcoAAAAAHyOUAAAAAD4HKEAAAAA8Lm/AYpadtusaSt0AAAAAElFTkSuQmCC",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 900x500 with 1 Axes>"
       ]
@@ -1542,6 +1532,143 @@
     "    observed_lowflows=observed_lowflows)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "11c17a6b-3c13-442b-a8ed-2d2427ee4699",
+   "metadata": {},
+   "source": [
+    "### Slope significance"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "7216de94-1ea2-4993-aa46-3867453ce80d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Calculate p values to determine statistical significance\n",
+    "\n",
+    "def slope_significance(projection_data, observed_lowflows):\n",
+    "    results = []\n",
+    "\n",
+    "    # Historical observed period\n",
+    "    x = observed_lowflows[\"year\"].values\n",
+    "    y = observed_lowflows[\"observed_lowflow_days\"].values\n",
+    "\n",
+    "    reg = linregress(x, y)\n",
+    "\n",
+    "    results.append({\n",
+    "        \"scenario\": \"historical\",\n",
+    "        \"p_value\": reg.pvalue})\n",
+    "\n",
+    "    # Future scenarios\n",
+    "    for scenario in scenarios:\n",
+    "        all_years = []\n",
+    "        all_lowflows = []\n",
+    "\n",
+    "        for i in range(len(periods[0])):\n",
+    "            start_year = periods[0][i]\n",
+    "            end_year = periods[1][i]\n",
+    "\n",
+    "            key = f\"{scenario}_{start_year}_{end_year}\"\n",
+    "            lowflow_table = projection_data[key][\"lowflow\"]\n",
+    "\n",
+    "            all_years.extend(lowflow_table[\"year\"].values)\n",
+    "            all_lowflows.extend(lowflow_table[\"set_avg\"].values)\n",
+    "\n",
+    "        reg = linregress(all_years, all_lowflows)\n",
+    "\n",
+    "        results.append({\n",
+    "            \"scenario\": scenario,\n",
+    "            \"p_value\": reg.pvalue})\n",
+    "\n",
+    "    return pd.DataFrame(results)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "7a196937-089c-40a9-818d-2444b60f1c33",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>scenario</th>\n",
+       "      <th>p_value</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>historical</td>\n",
+       "      <td>0.349174</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>ssp126</td>\n",
+       "      <td>0.483318</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>ssp245</td>\n",
+       "      <td>0.188232</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>ssp370</td>\n",
+       "      <td>0.053621</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     scenario   p_value\n",
+       "0  historical  0.349174\n",
+       "1      ssp126  0.483318\n",
+       "2      ssp245  0.188232\n",
+       "3      ssp370  0.053621"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "slope_results = slope_significance(projection_data=projection_data, observed_lowflows=observed_lowflows)\n",
+    "\n",
+    "slope_results"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "15b68fb9-c134-40ec-b176-bd84f853b847",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
   {
    "cell_type": "markdown",
    "id": "110cc380-2552-4be7-9846-5cc8b21d1b9d",
@@ -1552,7 +1679,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 23,
    "id": "88c401d0-39ee-48d8-b048-c0f3d09f3efa",
    "metadata": {},
    "outputs": [],
@@ -1565,7 +1692,8 @@
     "    observed_values = np.sort(observed_lowflows[\"observed_lowflow_days\"].values)\n",
     "    observed_cdf = np.arange(1, len(observed_values) + 1) / len(observed_values)\n",
     "\n",
-    "    plt.plot(observed_values,observed_cdf,marker=\"o\",label=\"Observed 2000-2025\")\n",
+    "    # plt.plot(observed_values,observed_cdf,marker=\"o\",label=\"Observed 2000-2025\")\n",
+    "    plt.plot(observed_cdf, observed_values, marker=\"o\", label=\"Observed 2000-2025\", color=colours[\"historical\"])\n",
     "\n",
     "    # Scenario CDFs\n",
     "    for scenario in scenarios:\n",
@@ -1586,11 +1714,11 @@
     "        values = np.sort(all_lowflows)\n",
     "        cdf = np.arange(1, len(values) + 1) / len(values)\n",
     "\n",
-    "        plt.plot(values,cdf,marker=\"o\",label=scenario)\n",
+    "        plt.plot(cdf,values,marker=\"o\",label=scenario, color=colours[scenario])\n",
     "\n",
-    "    plt.xlabel(\"Annual low-flow days\")\n",
-    "    plt.ylabel(\"Cumulative probability\")\n",
-    "    plt.title(\"CDF of annual low-flow days\")\n",
+    "    plt.ylabel(\"Annual low flow days\")\n",
+    "    plt.xlabel(\"Cumulative probability\")\n",
+    "    plt.title(\"CDF of annual low flow days\")\n",
     "    plt.grid(True)\n",
     "    plt.legend()\n",
     "    plt.show()"
@@ -1598,13 +1726,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 24,
    "id": "4092c20d-19a6-4245-bfc9-a83ae151ba62",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAArMAAAHUCAYAAAAp/qBkAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8fJSN1AAAACXBIWXMAAA9hAAAPYQGoP6dpAADRVElEQVR4nOzdd3hUZfbA8e+dmSSTTkkyIZQQ6REpASJFBCU0FdR1F3ex6+oK9lgAXUXcVbAu7iq6dhHLqqsu/ESEiBQBDRBAMYiAoadBIAmkzr3398ckIZNpd0JCEnI+z5MH5s57731zaYd3znmPouu6jhBCCCGEEC2QqaknIIQQQgghRH1JMCuEEEIIIVosCWaFEEIIIUSLJcGsEEIIIYRosSSYFUIIIYQQLZYEs0IIIYQQosWSYFYIIYQQQrRYEswKIYQQQogWS4JZIYQQQgjRYkkwK0Qr9uOPP3LTTTeRkJCA1WolLCyMpKQknnnmGQoKCmrGjR49GkVRUBQFk8lEeHg43bt35w9/+AOffvopmqa5XLtr164159T9OnHiRIPMf+/evVx66aW0a9cORVG49957G+S6LUHXrl258cYbG2zcmfDNN98wePBgQkNDURSFL774gnfeeQdFUdi7d29TT8+t0aNHM3r06KaehhDCC0tTT0AI0TRef/11pk+fTq9evXjwwQdJTEyksrKSTZs28eqrr7JhwwY+//zzmvHnnHMO77//PgAnT54kKyuLL774gj/84Q+MHDmSJUuWEBkZ6XSPESNG8Nxzz7ncOyQkpEG+h/vuu48ffviBt956i9jYWDp06NAg1xUNT9d1pkyZQs+ePVm8eDGhoaH06tWL//3vf009NSFECyfBrBCt0IYNG5g2bRpjx47liy++ICgoqOa9sWPHcv/997Ns2TKnc4KDgxk6dKjTsT//+c+8/fbb3Hzzzdx222385z//cXq/TZs2Luc0pO3bt5OcnMwVV1zRaPcQDePw4cMUFBRw5ZVXMmbMmKaejhDiLCJpBkK0Qk899RSKovDaa685BbLVAgMDmTx5sqFr3XTTTVxyySV88skn7Nu3r0Hmt3//fq699lpiYmIICgqiT58+PP/88zXpDKtWrUJRFHbv3s1XX31Vk77g7aPql19+mQsvvJCYmBhCQ0M577zzeOaZZ6isrHQaN3r0aPr27cvGjRsZOXIkISEhnHPOOcybN88pnaJ6Dh9++CGPPPIIcXFxREREkJKSws6dO52u6emj/rofYZeVlXH//fczYMAAIiMjadeuHcOGDWvw1UtfzxdgyJAhXHrppU7nnXfeeSiKwsaNG2uOffbZZyiKwk8//eTxfo8//jidOnUCYMaMGSiKQteuXb3O8a233qJ///5YrVbatWvHlVdeyY4dO2re//LLL13m8t///hdFUVzm3a9fP6666iqv99N1nWeeeYb4+HisVitJSUl89dVXLuOM/hqNGTOG3r17o+u6y326d+/uNMdXXnmF/v37ExYWRnh4OL179+bhhx/2Ol8hxCkSzArRyqiqysqVKxk0aBCdO3dukGtOnjwZXddZu3at03Fd17Hb7U5f7vJra8vPz2f48OEsX76cv/3tbyxevJiUlBQeeOAB7rzzTgCSkpLYsGEDsbGxjBgxgg0bNrBhwwavaQZ79uxh6tSpvPfee/zf//0ft9xyC88++yx/+ctfXMbm5ORwzTXXcO2117J48WImTpzIrFmzWLRokcvYhx9+mH379vHGG2/w2muvsWvXLiZNmoSqqkYenZPy8nIKCgp44IEH+OKLL/jwww+54IIL+N3vfsfChQv9vp47Rp4vQEpKCmvWrKkJ9nNzc9m+fTvBwcGsWLGiZlxaWho2m43zzjvP4z3//Oc/89lnnwFw1113uaSw1DV37lxuueUWzj33XD777DNefPFFfvzxR4YNG8auXbsAGDVqFAEBAaSlpTnNJTg4mNWrV9fMOy8vj+3bt5OSkuL1ucyZM4cZM2bUfFoxbdo0br31Vpf/mBj9NbrnnnvYuXMn33zzjdP5X331FXv27OGOO+4A4KOPPmL69OmMGjWKzz//nC+++IL77ruPkydPep2vEKIWXQjRquTk5OiA/sc//tHwOaNGjdLPPfdcj+9/9dVXOqA//fTTNcfi4+N1wOXrkUce8XqvmTNn6oD+ww8/OB2fNm2ariiKvnPnTqd7XHrppYa/j2qqquqVlZX6woULdbPZrBcUFNS8N2rUKLf3T0xM1MePH1/z+ttvv9UB/ZJLLnEa9/HHH+uAvmHDBqd53nDDDS7zGDVqlD5q1CiP87Tb7XplZaV+yy236AMHDnR6z9M166o7zujzTUtL0wF9zZo1uq7r+qJFi/Tw8HB9+vTp+kUXXVRzXo8ePfSpU6f6nEdWVpYO6M8++6zT8bffflsH9KysLF3Xdf3YsWN6cHCwy3Pdv3+/HhQU5HSvCy64QL/44otrXnfv3l1/8MEHdZPJpK9evVrXdV1///33dUD/9ddfPc7t2LFjutVq1a+88kqn4+vWrdOBev0aqaqqn3POOfrll1/uNH7ixIl6t27ddE3TdF3X9TvvvFNv06aNx+sLIXyTlVkhxGnT63yUWu2CCy5g48aNTl/Tp0/3eq2VK1eSmJhIcnKy0/Ebb7wRXddZuXJlvea4ZcsWJk+eTPv27TGbzQQEBHD99dejqiq//vqr09jY2FiX+/fr189tGkXddIx+/foB1Dvl4pNPPmHEiBGEhYVhsVgICAjgzTffdPqI/XQYfb4jRozAarXWrHyuWLGC0aNHM2HCBNavX09JSQkHDhxg165dTquedVfiPf3e8GTDhg2Ulpa6pGV07tyZiy++2Gmlc8yYMaxbt47S0lL27dvH7t27+eMf/8iAAQNqVo/T0tLo0qULPXr08HrPsrIyrrnmGqfjw4cPJz4+3mW8kV8jk8nEnXfeyf/93/+xf/9+wPHpwLJly5g+fTqKogCQnJzM8ePH+dOf/sT//vc/jhw54tfzEkJImoEQrU5UVBQhISFkZWU12DWrA7e4uDin45GRkQwePNjpq+6Yuo4ePeo2XaD6vKNHj/o9v/379zNy5EgOHTrEiy++yNq1a9m4cSMvv/wyAKWlpU7j27dv73KNoKAgl3HuxlbnILsb68tnn33GlClT6NixI4sWLWLDhg1s3LiRm2++mbKyMr+v547R52u1WhkxYkRNMPvNN98wduxYRo8ejaqqrF27tiZgrA5m9+7dS0BAgNPX6tWr/Z4f4HGOtX/9U1JSKC8v57vvvmPFihVERUUxcOBAUlJSnObtK8Wg+pqxsbEu79U95s+v0c0330xwcDCvvvoq4MjbDg4O5uabb64Zc9111/HWW2+xb98+rrrqKmJiYjj//POdUjmEEN7JbgZCtDJms5kxY8bw1VdfcfDgwZrCnNOxePFiFEXhwgsvPO1rtW/fnuzsbJfjhw8fBhzBuL+++OILTp48yWeffea00rZ169Z6z9MfVquV8vJyl+NHjhxx+n4WLVpEQkIC//nPf2pW7gC359aXP893zJgxPPbYY6Snp3Pw4EHGjh1LeHg4Q4YMYcWKFRw+fJiePXvW5F7HxcU5FWQB9OrVy+/5AR7nWHt+559/PmFhYaSlpbF3717GjBmDoiiMGTOG559/no0bN7J//36fwWz1PXNyclzey8nJcSpW8+fXKDIykhtuuIE33niDBx54gLfffpupU6fSpk0bp3E33XQTN910EydPnmTNmjXMnj2byy67jF9//dXtyrAQwpmszArRCs2aNQtd17n11lupqKhweb+yspIlS5YYutbbb7/NV199xZ/+9Ce6dOly2nMbM2YMmZmZZGRkOB1fuHAhiqJw0UUX+X3N6qCj9s4Nuq7z+uuvn95kDeratSs//vij07Fff/3VpbhIURQCAwOdgqScnJwG3c3An+ebkpKC3W7n0UcfpVOnTvTu3bvmeFpaGitXrnQKFAMDA11W4sPDw/2a37BhwwgODnYptjt48CArV6502tYrICCACy+8kBUrVrBy5UrGjh0LwMiRI7FYLPz1r3+tCW69GTp0KFartWYf5Wrr1693SRfx99fo7rvv5siRI/z+97/n+PHjTkV2dYWGhjJx4kQeeeQRKioq+Pnnn73OWwjhIMGsEK3QsGHDeOWVV0hLS2PQoEEsWLCA1atXk5aWxrPPPktiYiJvvfWW0zmlpaV8//33fP/993z77be8+eabTJo0iZtvvplRo0bVfJR6uu677z46duzIpZdeyuuvv87y5cu55557WLBgAdOmTaNnz55+X3Ps2LEEBgbypz/9ia+++orPP/+c8ePHc+zYsQaZsy/XXXcdmZmZTJ8+nW+++Ya33nqLyZMnEx0d7TTusssuY+fOnUyfPp2VK1fy7rvvcsEFFzRoMwh/nu+gQYNo27Yty5cvrwkUwRHMbtu2jdzcXJ+rnv5q06YNjz76KIsXL+b666/nq6++YtGiRVx00UVYrVZmz57tNH7MmDFs2bKFI0eO1MwlODi4ZseG8847j5iYGK/3bNu2LQ888ACff/45f/7zn/n666954403mDJlikuagb+/Rj179mTChAl8++23XHDBBfTv39/p/VtvvZW7776b//znP6xZs4aPP/6Yxx9/nMjISIYMGeLv4xOidWrK6jMhRNPaunWrfsMNN+hdunTRAwMD9dDQUH3gwIH6Y489pufl5dWMq67wr/4KDQ3VzznnHP33v/+9/sknn+iqqrpcu747Dei6ru/bt0+fOnWq3r59ez0gIEDv1auX/uyzz7rcx597LFmyRO/fv79utVr1jh076g8++GDNLgzffvut0/fqbueGG264QY+Pj695Xb2bwSeffOI0rrpq/+233645pmma/swzz+jnnHOObrVa9cGDB+srV650u5vBvHnz9K5du+pBQUF6nz599Ndff12fPXu2Xvev6/ruZqDrxp+vruv6lVdeqQP6+++/X3OsoqJCDw0N1U0mk37s2DGfc9B147sZVHvjjTf0fv366YGBgXpkZKR++eWX6z///LPLdbdt26YDeo8ePZyOP/nkkzqgp6amGpqfpmn63Llz9c6dO+uBgYF6v3799CVLlpzWr1G1d955Rwf0jz76yOW9d999V7/ooot0m82mBwYG6nFxcfqUKVP0H3/80dC8hRC6rui6n6WmQgghhDDsqquu4vvvv68pkBNCNCwpABNCCCEaWHl5ORkZGaSnp/P555/zwgsvSCArRCORlVkhhBCige3du5eEhAQiIiKYOnUqL730EmazuamnJcRZSYJZIYQQQgjRYsluBkIIIYQQosWSYFYIIYQQQrRYEswKIYQQQogWq9XtZqBpGocPHyY8PNypg4sQQgghhGgedF2nuLiYuLg4TCbva6+tLpg9fPhwTR9xIYQQQgjRfB04cIBOnTp5HdPqgtnqPuEHDhwgIiLijNyzsrKS5cuXM27cONln0A/y3OpPnl39ybOrP3l29SfPrv7k2dVPc39uRUVFdO7cuSZu86bVBbPVqQURERFnNJgNCQkhIiKiWf6Gaa7kudWfPLv6k2dXf/Ls6k+eXf3Js6uflvLcjKSESgGYEEIIIYRosSSYFUIIIYQQLZYEs0IIIYQQosWSYFYIIYQQQrRYEswKIYQQQogWS4JZIYQQQgjRYkkwK4QQQgghWiwJZoUQQgghRIslwawQQgghhGixWl0HMCGE8ETVdH7IKmDzEYX2WQUM6x6D2eS7+4wQQtSlqyolmzZjz8/HEh1NyOBBKGZzU0/LLVVTycjLIL8kn+iQaJJikjCbas1VU2HfejiRC2E2iB8OpubzvTRpMLtmzRqeffZZNm/eTHZ2Np9//jlXXHGF13NWr15NamoqP//8M3FxcTz00EPcfvvtZ2bCQoiz1rLt2cxZkkl2YRlgZuGuTXSItDJ7UiIT+nZo6ukJIVqQouXLyX1qLvacnJpjlthYbA/PImLcuCacmatvDnzDc5ufI7ckt+aYLcTGzOSZpMSnQOZiWDYDig6fOikiDiY8DYmTm2DGrpo0zeDkyZP079+fl156ydD4rKwsLrnkEkaOHMmWLVt4+OGHufvuu/nvf//byDMVQpzNlm3PZtqijKpA9pScwjKmLcpg2fbsJpqZEKKlKVq+nEP33OsUyALYc3M5dM+9FC1f3kQzc/Vzxc88tPYhp0AWIK8kj9RVqaR9Nxc+vt45kAUoynYcz1x8BmfrWZOuzE6cOJGJEycaHv/qq6/SpUsX5s+fD0CfPn3YtGkTzz33HFdddVUjzVIIcTZTNZ05SzLR3bynAwowZ0kmYxNjJeVACOGVrqrkPjUXdDd/o+g6KAq5T80lfMyYJk85UDWVL0u/RHfzt5+OjoLC07++z0XouM606m/HZTOh96VNnnLQonJmN2zYwLg6y/Pjx4/nzTffpLKykoCAAJdzysvLKS8vr3ldVFQEQGVlJZWVlY074SrV9zlT9ztbyHOrP3l2xv2QVeCyIlubDmQXlrFhdx7nJ7Q7cxNrgeT3Xf3Js6u/pn52uq6jFRVhz87m5Jo1LiuydQZjz8mh6IcfCBky5LTva9fslKlllNpLKbOXnfq5WuZ4bS+jVK3zXtXPDxQdoEgv8nx9dHLMChnWIIaUlbsdQdEh7L+tQY+/4LS+F3f8+fVsUcFsTk4ONpvN6ZjNZsNut3PkyBE6dHDNa5s7dy5z5sxxOb58+XJCQkIaba7urFix4oze72whz63+5Nn5tvmIAm7WHepavvYHju5wt34r6pLfd/XX0p6dpmvste+lWC8mXAmnq6UrJuUMZjBqGsFZWYQXF/Pdnj2UJiSAqWHvr9jtWAoLsRw/TsDx41iOVf1Y9RVQWIiposKvay756l32HlpJhV5BJZVU6pXOP6eCSr0SpfIYlXoZZQqUmiw1xyv1SiqpRENr0O/VnXwfK8hb137NoZ89B8X1VVJSYnhsiwpmARTF+WM+vWopv+7xarNmzSI1NbXmdVFREZ07d2bcuHFEREQ03kRrqaysZMWKFYwdO9bt6rFwT55b/cmzM659VgELd23yOW7cyPNlZdYH+X1Xfy3x2X1z4Bue3fwseSV5NcdiQmJ4cNCDjOk8ptHvfyItjfx5T6Pmnsr3NNtsRM+cQVhKitdzVU11rFRWllJ2JJeywweoOHwYe24uWk4uSu4RTHkFWPKPE3D8hKH5FIeaOGlViD2q+hy7JOA7MksMBt3V4Y2XuNWsmAm2BGM1W7FarFjNQVgxEazrWFU7wWol1spSgstPElxWTHBlKflmE59GhPu8fbTq/fsZMHI8/RthZbb6k3QjWlQwGxsbS06d5fu8vDwsFgvt27d3e05QUBBBQUEuxwMCAs74XxhNcc+zgTy3+pNn59uw7jF0iLSSU1jmNm9WAWIjrbJNlx/k9139tZRnl7YvjYfWPuSSb5lfks9Dax/ihdEvOCrh60HTNdePxe1llNhLao6bVm+kw1PvAadiPXAUWWXfl8rXt/Zjx3mRVJacJKigmOCjJwk5WkLEsTIij1XStkgjqlAnqhgC7Y5zA6u+3Cm3wJEIOBKhcCQSjoY7fqw+djQcKgMUFE3n5QXQrth9hb0OFEZaMA84l8GBwY4A1GIl2BJ8Khg9vp/g7Z9j1TWCNR2rrjuCUs3xY/DYv2HtPg5r+QmCT+QTXJSN5fgBlML9cGwfHNsLxYdB975qaw9ux+pQOGLGw999CjZVI6nM06qzAhFxWM65sFFyZv35c9Cigtlhw4axZMkSp2PLly9n8ODBLeIPvxCi+TGbFGZPSmTaogwUnP9Sr/5HcvakRAlkhaiiairz0ud5LBwCmL1+NodOHKJcLXfkbdpLnXI5q4PUuserg1VvHAGjY7Ww7p/K6j/DKW/+yPBAiPB+KcCx4FkYbqKwjYWiNoGcaGelpF0opVFhVERFoEa3RWkTgTXAEWyGBITQzWzl3Kog1GqxEmwOJrjq/YC2m6mc+SSuf6EoKMC5f3ueD+puz6VpYC+DipPw6gVwwsuq5NKHgb+C5iO1wRIMbeOhTTy07Vrr544fdXMwKV88y0clH1VN9dRklaonO6PnNZj3P42bb8bxw4R5TV78BU0czJ44cYLdu3fXvM7KymLr1q20a9eOLl26MGvWLA4dOsTChQsBuP3223nppZdITU3l1ltvZcOGDbz55pt8+OGHTfUtCCHOAhP6duCVa5Nq7TPrECv7zIozQVNR9n1Hx4INKPsioJFWutzxuVm+GxtzNrps5VRN0XT6HNBpe+I4S3c9w47OCvpp/EcwyBxEsCWYNvZAuhw10fmITs9fS4gqPubxHAWwaKcCWT04CN0WhRIbjTk2lsAOcQR17Ehwxy6EdIon0GZDCay1JlsdWNrLoLK01o/lYC+FyjLHj2VlYC9wHWctp+iGAeR+sQN74anCKUuYCduoUCJ2PQqZDzhfT3VXYOWBVrWUrJghsqMjUK0JUrs6fmzbFUKjwUMKJgCVlZwbeC7PDHrG7T6zM5JnOFbX253rYZ/Zec1mn9kmDWY3bdrERRddVPO6Orf1hhtu4J133iE7O5v9+/fXvJ+QkMDSpUu57777ePnll4mLi+Of//ynbMslhDhtE/p2YGxiLL3/+hWVms78KecxaUBnWZEVjatqQ3pL0WEGA+x75YxtSJ+2L4156fM8b5Zfy/Gy46w7vI41B9fw7YFv3V4veafGjSs0oopPHStpG8z2a8/n2NBezh+nW6xYzVaXj9mDylQs+7Ix7TuM9ts+KnbvpnzXbuy5h93e05voyf1oO7QTJosdRS2vCjgPg/03KCyDo6WwuSowtZefClJV/4q53IkAwsdDSX4g9jIzFqtKSHQFignIP+3LOwLJIbeC+fTDuDGdxzC261jP/6lJnOzYfks6gLk3evTomgIud9555x2XY6NGjSIjI6MRZyWEaK3MJgWTSQFNZ2DnNhLIisaVudix8Xzdj+urN6SfsrDRAtq0fWmkrkp1SRWo3iz/+VHP0yWiC2sOrmHNwTX8eORHNC85mMk7Ne7/zPX9kGOlJP9rFR1LKojoG12zEqmeOEFFTiHlOcWU55VQnl9O+VE7xSc8xwSWYJWgiEqUAJ0TB4N9fo/BxSsx/3iagakpAAKCwWJ1fAVU/1j3WPCpHy1BEBCMYrESamCc0/UOboL3Lvc9L1vfBglkq5lNZobEetkqzGSGhJENdr+G1qJyZoUQQoizgqY6Prr11q7D24b0amXVx9plzh9928vrfDRe5jJOrSxhXu4yzzmvOjywKhWtzv/lelRUcGFJKReUlDEzpj15ZjO64ih6unGFI5B1/98/nez3vqOkawkVxRbKCy3YSzyHHxarSlCkncDISoIi7QRF2AmKrMQcHACWYHSzld3/AftJj5fA0sZKyGU3Q1Cw7wDSW6B5plcfE0Y6VuaLsvFUlkVEnGNlVNSQYFYIIYQ40/atd20R6sSxIT3/GuQIqOoGqbrv7Z88ybAGkdvB5nmA4iiKCtA0RpSWMbK0jJElpXSotUXTzGMnSI2KRNEdObK1UwvcXVCrUDj2a5jTUUubMII6xxDYpQNBXTsTdE48QeckYG7bvk7AGeT4eVVgqQC2AY6WsYBzt62qHFHbE0+j1C2yaglMZkeKycfX09yLrpoTCWaFEKKKqulomuMfjy0HjtOpfbikGgjfNNW/fMJj+2CbwcLlY1moOALQfLOZaJNKkq46t/mwWKsCvuA6K4yOL91iJdtsYofJzg69jNUVR0H1vYfn7HNv4/L4FKdVTF0JoGTbzww5cpSXtP38rfRT2p7w0vGqltALLiB87FiCuncjqFs3zG3aGHsGbkSMGwcvzif3qblOHbcsNhu2h2c53m+pEic7UkyaedFVcyLBrBBCAMu2ZzNnSSaVVcHsvR//xNNf75LdDIR3VQVcrkFHrQIutRL2fw+7voZfl8ORnYYvnzb0JuYd20xuxfGaYzZrFDMH3kNKwngwBzl1vNJ0jQPFB9hxdAeZBZnsOLqDHQU7KCwr9Ptbi+syHGzn1rwuWr7cKXiMBhbYbJQMuwj4xuf12t96K6HnJ/s9D08ixo0jfMwYin74gc0rVjBo7Fgizj8fxUfHqhahBRRdNScSzAohWr1l27OZtijDJUMtp7CMaYsyeOXaJAlohStfBVxD/gwn82DPt1BeayVUMUPn8yF3u/NxJwppUXGk5q50LdIqO0rqhsd4NjCYcyLPYUfBDkfwejSTncd2crLSNZnUoljo1qYbfdr3oVfbXrz+0+sUlBV4uLOCLcRGUkzSqW9pedXH+nWKtu25uQR+4X6brlMXVLDYbIQMHuR9XD0oZjMhQ4ZQnJ9PyJAhZ0cgW62ZF101JxLMCiFaNVXTmbMk01sZDnOWZDI2MVZSDsQpPgu4gI2vnzoU0h66j4We46DbxRDctlYwXOscABRUYF67tuiVrsFudXD7wOoH3E4tyBxEz7Y96dOuD33aO756tOlBoPnUXqqxobGkrkp1up7jzlWb5SfPqNmaSVdVcp+a6xLIOgkIgMpKR86quxzWh2edXYGmaFYkmBVCtGrpWQVOjRLq0oHswjLSswoY1s1922zRClSWOQqyCg86vvau81HAVaXfHyH5Vogb6PoRsYfcyJKIOP438Apy9y/BF6vZSmL7RBLbJzoC13Z9SIhMwGLy/s97SnwKL4x+we0+szWb5VfPZ9Nmp7xUtyoribrrLo5/8snZl8Mqmj0JZoUQrZam6az8xcdHpFXyig30xRSNx98iK3/oOpzMh8IDp4LVwoO1Xh9ypAt44FSgpaoklZWfKtDqMRY6DfZ4blH30ez849ts3/Ul67PSyQ1R2VeWj2YgkAV4fPjjXHrOpca/VVV1BKf5+QyLjmbZFUvZcnSb283yKw4e4sTqVRz/5BND1w6Mj6f7N2k117dERxMyeJCsyIpGJ8GsEKLVKS6r5JNNB3l3w172HS0xdE5MuLWRZyU8MlJk5U1FSdWqqpdg1Ug7UUswRHZyfJkssHsFaSHBzGvfllzLqX9ObXY7M48eI6Wk1BF4VykoK6gpyMo8mskvBb9woPjAqesrQKnjp5GBkRRW+C7aigmJ8T3vKnULuAAssbH0engWQ8Zdgl5ZScnGzZxYvZoTa1ZTsXuP4WsDWKKjUczmBi3yEsIICWaFEK1G1pGTvLt+L59sOsDJCseemeFBZjSdmtd1KUBspJXkhHZncKaihq8iqz+8C52T6wSndYLVUveFTs4UCI89FaxGdoLIzs4/D257qte9ppK24DxSw0wuWbN5ZjP3xURxS6lG0PEfyVz5MTuO7nD6OL+2jmEd6dW2F6Z8E5cPvZy+MX1pG9SW8f8dT15JntvmBu6KtLzxWMCVk8Ohu+/h6IABVOzZg1Zca8NYs5nggQMIHTmSYwvfQy0ocJ8324gFXkIYIcGsEOKspus6a3cd4Z31e/l2Z17Nv8XdY8K4cXhXfpfUkTW/5jNtkaNNtpstypk9KVGKv5qCkSKrT653854bgWF1gtM6wWp4B7AE+r5OlZoCrYrCUwFu9cyqXr8ZYoYfX605rqAQHxHvVJjVp10fIoMiqaysZOnSpYyIG0FAQAAAM5NnkroqFQXFZ5GWN0YKuMq2bgXA3LYtYReOJGzUKEJHjMAcGQlAUEKCIxiWAi/RDEkwK4Q4K5VU2Pks4xDvrN/L7rwTNccv7h3DTSO6ckH3KJSqf4gn9O3AK9cmMWdJplMxWGykVfaZbSj+5rzaKyD938aKrDBBZMc6gWpVsBpRddwa6RJ0VlM1lYy8DLd5o558lfUVuZVFHq9ZbXjccC7sdCF92vWhV7tehAaE+vxuqvNah+SX81Lbafyt9FNyyk7l7Lor0nLHnp9P2Y4dFH293HcBF2B79FHa/vFqt0HpWd2kQLR4EswKIc4qB4+VsHDDPj5K309RmR2A0EAzfxjcmRuGdyUhyn0wMaFvB8YmxrJhdx7L1/7AuJHnM6x7jKzINgSjOa/FObBrhaO5wJ5VUOG1R+opV74K/a+u19TS9qW5reifmTzTKVisVCvZnLeZNQfXsPbgWvYW7TV0/cu7Xc4l51xieD4n0tI48vQzLo0Jiu+YRs7grm6DbV3XsWdnU5aZ6fj62fGjPT/f8H0BzJGRXldXq5sUSIGXaG4kmBVCtHi6rvNDVgHvrNvL8swcqpp4Ed8+hBuGdeUPgzsRbg3weR2zSeH8hHYc3aFzfkI7CWQbgq+c1zGzobLEEcBmb3MeY40EI52rIuLqNbW0fWmkrkp1bUpQkkfqqlRmD5uNoiisObiGDYc3UGI/VSxowoSG5vMe0SHRhucTtn07OYved81rzcsjePZLXPDifMJTBlG5fz8nqwPXzB2UZWaiHj/uekFFIfCcc7DExFCyYYPP+1uifc9VCrxEcyTBrBCixSqrVFm87TBvr9vLjuxTm8tf0D2Km0Z0ZXQvWVltUkZyXr953PlwXBL0HO/Y0srWD/7ZzxH4ur2G4ghk44f7PTVVU5mXPs9tcVX1scc3OM+tvbU9IzuN5MJOF5JsS+aqJVc1WIGWrqpEL17iPq+16tjh+x+AgAD0Ejc7cFgsBPXogTWxD9Y+iVgTE7H26okpNBRdVdk9JgV7bq4UcImzkgSzQohmRdV00rMKyCsuIybcsYtA3YA0t6iM9zbs44P0/RScrADAGmDiyoGduGlEV3rawpti6qKufeuN5bzGj4AB1zgC2LA6W01NeLpqZVfBbXnehHn12m82Iy/D4+4CtSVEJDDxnIk1ea8mxVTzXkMVaAGUZmQQUOh9FVqvrITKSpSgIIJ69XIEromJWBPPJahnD0yB7gvYFLMZ28OzpIBLnLUkmBVCNBvLtme7FGF1qFWEtWX/Md5et5elP2Vjr8oliIu0cv3wrvxxSGfahBivRhd+8qeAq7IEsr6HDQuMXXvwzXDe792/56FLliPndp7bfWaNFHTtK9pnaGq397/dY86rpy5asdYY/hp8Ff1/KudkTrrXvFL1xAlOfreOgkWLDM0n+v77aX/TjSgW//75lgIucTaTYFYI0Sws257NtEUZLh/Y5hSWcfuiDOLbhzg1OEju2o4bR3RlXKINi9mEaERGCriO7cP0y1cM3fM+lp9uA7sfHdNqNRZwK3Ey9L7UUDDtraDr4i4Xk56Tzme/fsaKfSsMTc1XzmtKfAoXdb6oJniO3bSX8Jc/xp77T6qfliU2tiZg1HWdiqwsTqxazYnVqynZvBnsdkNzAQju18/vQLaaFHCJs5UEs0KIJqdqOnOWZHrLrGTf0RICTAqTB3TkphFd6dsx8kxOsfXyWsB1HfSaCAVZkP8LZqAmLI3sDN1TYMdiKClwPR/wK+fVZIaEkV6HeCroyi3J5b5V99HO2o6CslMNFCyKBbvuPpD0J+fVbDIzJHaIozHB7Jew1y3gys3l0N33cHzkSCr27qXywAGn9wMTEggeMYKjn3+OpeSkh0fVMHmtUsAlzkYSzAohmlx6VoFTaoEn/5o6UPZ8PZOMFHDt/Mrxo2JG65zMDnsXel56JwFx5znyMbtd3Cg5r3V5K+iqVlBWQJgljEu7XcrvevyOwycOk7oqteq7Ob2cV6+NCaqOnVy71nH9gABCkpMJGzWKsNGjCOzShcrKSnYoELfo/apHJXmtQhglwawQosnlFRv7SLrc7nsrJFFP7nJijRZwXfgQDJuOaglj99Kl9Izpc6qZQD1yXsH/RgZGC7qeHf0sF3S8wDG19oluc159NSWobmpQ+6P6kk2bDTUmiLr3Htpffz2mkBCX90707UvsC8877TMLktcqhC8SzAohmlxMuLVBxwk/ecqJTbzc2PnRvSC4LVRWun/fj5xXMN7IQNVUfjryE2sOruHL3740NNWi8iKn13VzXn0FzkXLl7sWUcXGEj5urKH7B3bq7DaQrRaWkkKbceMkr1UIP0gwK4RocskJ7egQafWYaqDgaC2bnNDuzE6sNfCYE3sYvn/F2DV8FXCBoZxX8N3I4O8j/o7FZGHNoTWsO7SO4+XHjc2xiruCruqcV1+Kli93bG9VNyc2J4djC98zdH9pTCBEw5NgVgjR5MwmhdmTErl9UYbLe9U7zM6elCgNEBqa15xYI+rftMAdI40MHln3iNPx8MBwLoi7gBEdR/BixoscKT3SIE0MXO7vLSfWCGlMIESjkWBWCNEsTOjbgfM6RvDTIeePgWNr7TMrGpjRnFigsQu4wHjea1xoHBMSJnBhpwvpH90fi8nxT1loQGiDNTGoy2hOrOOG0phAiDNJglkhRLNQVqmyK+8EAE9fdR7WALPHDmDCACNNDooNBmdDp0PmF34VcPlL1VS+z/7e0Nh7ku5x28jAUxOD+hR01Q067bm+g2yAtjfcQPHXX0sBlxBnkASzQohm4YesAsoqNWIjrEwZ3BlFkQC23nw1OSjOhW0fwA+vGbter0tg3N+NdwDzk7uCL2+8NTJoqIKu6uCz4uAhCj/7LwUffmRobuEXX4ztoQelgEuIM0iCWSFEs/DtL3kAXNQ7WgLZ0+GryUFcEmRvA12teqNu+kBttXJiDRZw+ctTwZf72RjLez3tgq6qJgdHevWk/Nddp96vmz7gNLlTObFSwCXEmSXBrBCiWVi10xHMju4V08QzacGMNDk4XFVk1ykZkq4HSxB8dpvzGKAxcmLrMtLo4NRsTj/vtTYjTQ7Kd/4KQOjw4bT5/VXowOH7H3Aa45ic5MQK0ZQkmBVCNClV01m89RB7j5ZgNsHQc9o39ZRaLqMFXZcvgIHXnHptsfrd1KAhrD+83nBqga+8V39oJ09yfPFiQwVdcc89R+Rll9a8ViwW17QEyYkVoklJMCuEaDLLtmczZ0lmzf6yqgYT5q+R3QuqGSniAigrgt++hR/+bey6liDn1342NQD3Hbp8yS/JJyMvgy15W9iSt4UdR3d4HKtoOn0O6LQ9ARf0m8Qfr3gCS0Cgse+vinbyJOV79lC+ew/lu3dTvnsXFbv3UHnY6A4OriLGjSN8zBjJiRWiGZFgVgjRJJZtz2baogyXD5hzCsuYtiiDV65Nat0Brbcirj6T4MivsGs5/Po17N8Amt34td01OfAjJ9ZTh64HBj1Q81rTNbIKs8jIy2Br3lYycjM4eOKgoesn79S4cYVGVHHVgcX/I+uNHzyufmonT1L+22+U79rtCFr37KZi126vQaspMgKtsMjj+9XcNTmQnFghmhcJZoUQZ5yq6cxZkukxs1MB5izJZGxibOvclstbV66Pr4OQaCjJd36vfXfoPhZ++hhKClzPBRqiyYGngq3cklweXPsgAwIGsHz1crYd2UZheaHTGJNiomfbngyMGUhSTBLnRZ/HDV/dQF5JXs31kndq3P+Z5nLf6qKsigfux9KuPeV7HIGrr6DVHBVFUPfutb66EdS9O6bwcHaPSXFsueUub1aaHAjRYkgwK4Q449KzCjy2rgVHGJZdWEZ6VgHDurWyHFojXblK8sEU4FhJ7TEeeoyF9t0c78UPrwqEG77JgZGCra2VW+GQ4+dWs5V+0f1qgtd+0f0ICwxzGj8zeWZNowM0x4psrdmeUhVw5j/3vNv71gSt3boR1MMRuAZ264albVuPc7U9PMuxm4E0ORCiRZNgVghxRum6zg9ZRw2NzSv2HPCelTQVfnjVWBHXHz+Anm4KjhInw5SFjVLQZbRD1x+6/4Ere15J7/a9CTAFeB1bu9FB+x3Zp1ILvAjq04eQpCTDQasnEePGwYvzpaBLiBZOglkhxBlRYdf48qfDvL1uLz8eLPR9AhATbm3kWTUj7nJkvSn3ku9Zj4IuI/LrpjZ4MDBmIOdFn2f4utWNDn788GXgFZ/j299yi9MOA6dDCrqEaPkkmBVCNKr84nLe/2Ef7/+wn/zicgACzAoWk4nSStXtOQoQG+loZdsqeMqR9cZdEVdtjdDkwFvnrdqigqP8vrbZZKZn96HsNxDMuivKOh1S0CVEyybBrBCiUfx0sJC312fxf9uyqVAdeZC2iCCuH9aVPw7pzMa9BUxb5NjA301mJ7MnJbaO4i8jObJOTr+Iq776R/XHpJjQdNcCrWoKCv3a96vX9YMHDgCTCTTP18dkcowTQogqEswKIRqMXdX4+udc3l6XxaZ9x2qOJ3Vpw40jEpjYN5YAswmACX078Mq1SU77zIJjRbZV7TNrtNEBcCa6cnmz7cg2r4EsgI7Oj0d/ZFinYX5fv3TLVu+BLICmUbplq6ykCiFqSDArhDhtx05W8OHG/by3YV9NYBpgVrj0vA7cNCKB/p3buD1vQt8OjE2MJT2rgLziMmLCHakFZ+2KrLsmCCeMdcACGrUrl7smCHXbxu46tsvQtY6UHvE5RldVlzxVe76xnFyj44QQrYMEs0KIetuZU8w767P4fMshyiodK2rtQwO55vwuXDs0npgI3wVcZpPSOrbfclfgFd4B2sQbO3/8U3D+7Y2yIuupCcLM5JmM6jSKbw98y2e7PmPd4XWGrucrZ7Zo+XLXHQRiYrB06mTo+g2dMyuEaNkkmBVC+EXVdFb+ksfb67JYv+fUFlvnxkVw04gELuvXAWuAVII78VTgVZzt+PKqKke2EQNZT00Q7lt1H6GWUE7aT9YcDzQFUqFVeJipQoQSwcDogR7vV7R8uWNv1zqNCux5edjz8rxPVhoZCCHckGBWCGFIUVklH288wMIN+9hfUAKASYEJfWO5aUQCg+PboihnaXrA6TBS4BUYBhXVAWPDNjrwxkgThJP2k0RZo7iyx5Vc2f1Kdh7bSeqq1KqZnjpPqZrrJcGXuKQnVNNVldyn5rrvuFXFFBqKVlJSdYI0MhBC+CbBrBCtnKrpXnNWf8s/wbvr9/Lp5oOcrHBspRUZHMAfkztz/bCudGwT3FRTP33uclgb6rrH9kL+L7DzK98FXhUnYPTDkPFOgzc6qFY3RzUoaQAf7vqPoSYIc0fOZWjcUAA6R3SuaXJQNy3h/kH3U/6TY/s1XdOw5+dTefAglQcPUnHgIKVbtjilFrijnTxJ1F13cfyTT6SRgRDCEAlmhWjFlm3PdtlNoEOklUcvTSTUauHtdVms2nmq2KanLYwbhydw5cCOBAe28NUxdzmsEXEoY58CTMauUTtozf8F8n6B/B1wZBfY/exe1r4b3Lu9wRsdgPsc1WMRJlalAL18f68FZQVOr6ubHGTsWUth1q+0O2an8/EAKt7dQPaWrex75VXshw+jV7hPR/AlMD6e7t+kSSMDIYQhEswK0Uot257NtEUZLh8wZxeWMf2DjJrXigJjesdw04gEhndrf3akEnjKYS3Kxvzfm+iQcCdwyanjNUHrTkewmlcVvB751XPQarFCVE8IbgdZq3zPKczWKI0OPOWoRhZp3P8ZPP87SPcQ0AbYdaILIfbHwxRseJ/Kg4ccq6xVq61hxcWEVY2t3r8gFKisvoDZTEBsLAGdOxPQqSPoUPjf//qcsyU6WhoZCCEMk2BWiFZI1XTmLMn0uk2/AtwwvCs3Du9K16jQMzW1xuc1h9VxrP/+tzF9Fw7H9kDeDgNBaw+I7gMxvSG66qttV0dwqqkwvy8UZXu4Z+M1QfCWo2oCNODm5RonA3WiixVijuvEHMfxYyG0O1E9+nk8JSOY27cnsFMnAjp1whzXgR0FBSRNnEhw164ExMaiWE79M6OrKifXrcOem+s+b1YKvIQQ9SDBrBCtUHpWgVNqgTs6MP7c2LMrkAWfTQoUIEg9Aaufcn7DHATRPU8FqzF9nINWT0xmmPB01Uqwwpks8CrZtNlrjqoJR8A6+yMdTwVqWnAQwV26EtCpE4GdOhLQybHKGtipEwEdO2IKCakZW1lZSdHSpYScfz4BAQEu11LMZmwPz3KsFCuKFHgJIRqEBLNCtEJ5xcbyOY2Oa1EMNinQOiVj6jn+VODqK2j1JnEyTFnoNke3sZog6KrKyQ0bDI09Fgr7oxXy2kBeG8ePqi2Ka8bcx0XnXd6gqSUR48bBi/Nd95mVAi8hRD1JMCtEKxQT7ruZgT/jWpQwm6Fh2uiHMXW/qOHumzgZel/aKAVedbkr+PLmxctNZMafypt9aMhDTO091eMWW6crYtw4wseMkQIvIUSDkGBWiFYoOaEdHSKt5BSWecriJDbSsU3XWSd+uKMoq7TA7ds6UGEOw9R5WMPfuxEKvOryVPDljgYUhMOOzqdWXtsEtWnUQLaaFHgJIRqKwf1nhBBnE7NJYfakRKAma7NG9evZkxKd9ps9u/gO9FoiI00Jqmk4fq3fGWtCr/3rfHY+GiHEWUyCWSFaqQl9O/DKtUnERjqnEsRGWnnl2iQm9O3QRDNrZPvWQ+kxj29XF4ApB4zlmzYnvgq+aisIh+d/Z3LZlut4xXEy8jI8nCWEEM2PpBkI0YpN6NuBsYmx9PrrV9g1nZenDmRC3w5n8YoshgvADI9rInU7eoUMHoQ9P9/3icCnwxU+GVlnRbaW/BJj1xFCiOZAglkhWjmzScGkOLaMSopve3YHsmC4AMzwuCbgrsDLEmsjZNBgQ+dv76p4DGQBokOiT3uOQghxpkgwK4RoXZqyAKwBeCrwsufkUvTll17PdVfwVZuCgi3ERlJMUgPNVgghGp/kzArRyqmajlYVGGXsO4aqtYYKoJb5PRop8FKCgqp+4hyweiz4qj6vqvRvRvKMRt/JQAghGpIEs0K0Ysu2Z3PB0yuxVwWwd3ywhQueXsmy7dlNPLNGoqnww6tnrABM1VQ25mxk6W9L2ZizEVVT630tXVUpeG+RzwIvvbycvVOGUdLGubDPU8FXNVuIjRdGv0BKfEq95yiEEE1B0gyEaKWWbc9m2qIMlzXKnMIypi3KOPt2NMhc7NqBy5vTLABL25fGvPR55Jacuo4txMbM5Jl+B4xFy5eT8+STqLl5hsb/r+wH1t+m0OeAibYn4FiYI7XAU57sbefdxvQB02VFVgjRIkkwK0QrpGo6c5Zkuv2wXcexOjlnSSZjE2PPjoKwzMXw8fX4lV5wGgVgafvSSF2Vil7nfnkleaSuSnW7AlqpVnL45GEOFR/i4ImDHDpxiIPFBwnf8DNT3t0HuO4J7ElizxH0TxpIRb8K3tj+hs/xQ+OGSiArhGixmjyYXbBgAc8++yzZ2dmce+65zJ8/n5EjPXfIef/993nmmWfYtWsXkZGRTJgwgeeee4727dufwVkL0bKlZxWQXVjm8X0dyC4sIz2rgGHdWvifLU11rMgaDGR1FEoD2hJQzwIwVVOZlz7PJZB1XNtx7PH1j7Pz2E4OnzjMoROHOHTiELknc13OUTSdlz9zpCYYCmQVBYvNxl03vYJiNqNqKkt+W0JeSZ7b+UjBlxDibNCkObP/+c9/uPfee3nkkUfYsmULI0eOZOLEiezfv9/t+O+++47rr7+eW265hZ9//plPPvmEjRs38uc///kMz1yIli2v2HMgW59xzdq+9cZTC6pCxu2drnG0nq2HjLwMp9QCdworCnl126ss3rOYzbmbyTmZg46O1Wyle5vujOo0iqm9pzIn5Gqiio0HsgC2h2ehmB1zN5vMzEyeWfWdOV9FCr6EEGeLJl2ZfeGFF7jllltqgtH58+fz9ddf88orrzB37lyX8d9//z1du3bl7rvvBiAhIYG//OUvPPPMM2d03kK0dDHhVt+D/BjXZDTVEayeyHWkBcQPdw1Cj+0zfr2IONSxT5L9m4mB9ZyS0YYDQ2KHMKzDMDqGdaRjeEc6hnWkXUAbSjdnOBohhEVjD87lMB8Yup7FZsP28Cwixo1zOp4Sn8ILo19wm787I3mGFHwJIVq8JgtmKyoq2Lx5MzNnznQ6Pm7cONavX+/2nOHDh/PII4+wdOlSJk6cSF5eHp9++imXXnqpx/uUl5dTXl5e87qoqAiAyspKKisrG+A78a36PmfqfmcLeW715+vZDewUTmxEELlF5W4/fFeA2MggBnYKb7bPX/nl/zAvfxil+NSqqx4ehzruKfRel6Ic3oJp63so2z8xtLKppvwNbchtVKoa/Lai3t9328C2hsbdeu6tDLadanJwIi2N3fOeRs09FXCaIiMNXav9Qw/SZupUFLPZ7bxHxY3igskXsCV/C0dKjxAVHMXA6IGYTe7H15f8ma0/eXb1J8+ufpr7c/NnXoque9mwsBEdPnyYjh07sm7dOoYPH15z/KmnnuLdd99l586dbs/79NNPuemmmygrK8NutzN58mQ+/fRTAgIC3I5//PHHmTNnjsvxDz74gJCQkIb5ZoRogbYdVXjr1+pMo9rhnuOvhJt7avRv3zz3Y+1wfCNDsv4FuJs5lAa0J6TyaM1xDRMKmtugVgdKA9qx4twXQDn9zCtN15hbNJdSvdTjmBAlhJkRMzFV3S9s+3Y6vLcIcP1+vAXiOmCPjCRr5gwwyU6LQoizR0lJCVOnTqWwsJCIiAivY5s8mF2/fj3Dhp0qtHjyySd57733+OWXX1zOyczMJCUlhfvuu4/x48eTnZ3Ngw8+yJAhQ3jzzTfd3sfdymznzp05cuSIz4fTUCorK1mxYgVjx471GHQLV/Lc6s/os3vju708/fWvTsc6RAbxyMTejD+3mbZz1VQsLw2E4sPeAz1zEHri5Wj9r4GSAsyf3QyAUmstWq+6gnrV2+i9LwNO//edqqmM+WwMRRVFHsdEBkaS9rs0zCYzuqqyd/wEpxVZtxTFuVlCVY5s7AvPE5bSPFIF5M9s/cmzqz95dvXT3J9bUVERUVFRhoLZJksziIqKwmw2k1NnA/C8vDxsNvf/iM6dO5cRI0bw4IMPAtCvXz9CQ0MZOXIkf//73+nQwXVPzKCgIIKqO+LUEhAQcMZ/8ZrinmcDeW715+vZ2TXHj4Pj23LdsHhiwq0kJ7Rr3ttxZX0Pxb4LupQp76L0mniqytVicdlnVomIgwnzsCROdjm/vr/vtuZs9RrIgqMA7KdjPzEkdggnM7b4DmQBc5s2qMdONXvwlCPbHMif2fqTZ1d/8uzqp7k+N3/m1GTBbGBgIIMGDWLFihVceeWVNcdXrFjB5Zdf7vackpISLBbnKZurqnabaIFZiBbt252OTfivGtSJywd0bOLZGKCp8NtqY2MrTjq/TpwMvS/1XTDmhaqpZORlkF+ST3RINEkxSU47Afx2/Dfe3v62oWvll+SjqyonNxjrNBYzaxYBNpujOCw6mpDBg2p2LRBCiNasSXczSE1N5brrrmPw4MEMGzaM1157jf3793P77bcDMGvWLA4dOsTChQsBmDRpErfeeiuvvPJKTZrBvffeS3JyMnFxcU35rQjR4hScrGDLgeMAjO4V3bSTMcLfDl7umh6YzJDgeR9rbzx19Lpv0H1UqBV8tusztuZvNXy92E172X1zis/2tNUCbDZCz0/2d9pCCHHWa9Jg9uqrr+bo0aM88cQTZGdn07dvX5YuXUp8fDwA2dnZTnvO3njjjRQXF/PSSy9x//3306ZNGy6++GKefvrppvoWhGix1u7KR9ehd2w4HSKDm3o63vnVwUuBiDjHqmsD8dTRK7ckl5lrT+3IYlbMXNDxArblb6OwvNBjo4KxWREE/+cl7EY+UapqhBAyeNBpfx9CCHE2avIOYNOnT2f69Olu33vnnXdcjt11113cddddjTwrIc5eqqaTnlXAexv2AjCqua/K+tXBqyrXd8K8ejc9qMtbR69qZsXM9AHTubL7lUSHRNcEvwqK03kKCoqmc2Oa6lzM5YmbRghCCCGcyV4uQrQiy7Znc8HTK/nT69+zad9xAD7ddJBl27ObdmKeaCr88Krx1IKIOJiy0JEf64aqqWzM2cjS35ayMWcjqqZ6vVy5Ws67P7/rsaOXoukk7tMYur2SwYesRAW1A041KogJiXEaf44exWv7LsZy5Lihb8dis9HxxfnNsshLCCGaiyZfmRVCnBnLtmczbVGGy/piwckKpi3K4JVrk5jQ13VHkCbjb47shQ/C6FkeV2Q95bzOTJ7p1AUrtySXjeUbWbF6Bem56ZTa3e8Xm7xT48YVGlHFVQcWz2V37Ns1OwykxKcwutNotq3/nPI164nYvAvzjt9AN/Yfh/a33070XXfKiqwQQvggwawQrYCq6cxZkun2g/LqjfnnLMlkbGJs89iWy68c2SoJo7wGsu5yXvNK8khdlcqdA++k1F7KmoNr+PVY1b67hxw/tAlsw/GK407nJe/UuP8zzeU+9txcDt19D6W33IJaeJyTq9cQkp9P7fYsAZ07U3nggM9vJ3TYMAlkhRDCAAlmhWgF0rMKyC4s8/i+DmQXlpGeVcCwbu3P3MTc8StHFnwVfHnLea0+9q8t/6p1NYVO5k5MOncSo7uMpkebHkz4bAJ5JXno6I6c1xVa9Z3rXNBxvYJaTVyUkBBChw0j7MILCRt1IZboaHaPScGem+s+b1YKvoQQwi8SzArRCuQVew5k6zOuUe1bbzy1wEDBV0Zehsec19qSbclc0eMKzo85nw0rN3BJ30tqNu2emTyzpqCrz4FaqQVehI0dS9urryYkeQimwECn92wPz+LQPfd67OolBV9CCGGcFIAJ0QrEhFsbdFyjKvajGK1OwZe7Aq/8knxDl7qq51VM6jaJtta2Lu/VLuhqe8Lg1MaPJ+yCES6BLEDEuHF0fHE+ljrdDqXgSwgh/Ccrs0K0AskJ7egQaSWnsMzth/cKEBvpaGXbpDIXw7KZvscBjH8Kzr+9ZkXWU4HXeVHnGbpcdIj3LcpS4lO4qPNFbAt7HxbP9Xk9S7T360WMG0f4mDGUbNosXb2EEOI0SDArRCtgNinMnpTItEUZKDhno1bnfc6elNi0xV+Gi76qcmTrBLKemhrk7veeYqCgYAuxkRST5HOKZpOZgeOu4dc2r6AdP+55XJs2hnJeFbNZunoJIcRpkjQDIVqJCX078Mq1ScRGOqcSxEZam35bLsNFX645skaaGljN1qqznYP16tczkmdgbqAmC+DXHgxCCCFOkwSzQrQiE/p24LsZFxNhdXwo8+zv+/HdjIubPpA12hghpL1LjuwHv3zgs8CrTC3jjgF3uDQxiLXG8FLbaQz5qZyTP6Sjq96bKAAUf7PS66osgHb8OCWbNvu8lhBCiNMnaQZCtDJmk0KA2fH/2P6d2zR9aoE/jREmzK0JZN3lyHrTJbwLX1/1NRl5GeSX5BO7aS/hL3+MPfefVN/dEhtL1IyHnM7TNY2ynzM5sXo1J1avpuynnwzdz55vrPBMCCHE6ZFgVgjRNOrTGCHcsYLsKUfWm+iQaMwmM0Nih1C0fDmHZr+Evc4+r/bcXHJS7yf8D3/ghMVC6XfrOLF2LeqRI8bnWMVXAZgQQoiGIcGsEOLMO43GCEZyZJ3PdC7w0lWV3Kfmum9YUHUs9uOPyfn445rDppAQQkeMIGz0KEKGD2ffn6ZK0wMhhGgmJJgVopVRNZ1K1dHBatuB43SLDjvzqQan0RghI2ej4dQCdwVeJZs2Y8/J8XlHs81G5IQJjgB20CCUWvvFStMDIYRoPqQATIhWZNn2bC54eiVFZXYAHvz0Ry54eiXLtvvRqKAhnDAWjAJOjRFUTeX77O8Nn2oLsfHC6BdIiU8BHKuyJzdsMHRuVOp92GbNJHTYMKdAFqTpgRBCNCeyMitEK7FsezbTFmW4fDifU1jGtEUZZ3Z7rjCb7zHg1BjB34Kvh4Y8xNTeU2tWZIuWLyf3qbk+V2WrmaXpgRBCtAgSzArRCqiazpwlmW6zTHUcH6vPWZLJ2MTYM5NyED8cgttBaYHnMcHtnAJZowVf1TmydQPZQ/fc6z7H1eUCCpUREQQn+W6iIE0PhBCi6UmagRCtQHpWAdmFZR7f14HswjLSs7wElw3OWAGXPwVf7nJkvRZ8uVzAcX7+5EmywiqEEC2ErMwK0QrkFXsOZOsz7rTtWw+lx7yPKS2AfevJCLYaTi2whdiYkTyjJkcWjBV8VbPYbETNeIhfKyoMjRdCCNH0JJgV4iyn6zo7DhcZGhsTbvU9qCEYLQA7kUu+HmJo6G3n3cb0AdOd2tL6U/DV/vbbib7rTuyaBkuXGpufEEKIJud3msHo0aNZuHAhpaWljTEfIUQDOnqygtsXbebVNb95HacAHSKtJCe0OzMTM1oAFmYjOsRY84GhcUOdAtmi5cvZPSaFo6++auj80GHDJLVACCFaIL+D2UGDBvHQQw8RGxvLrbfeyvffG98mRwhx5mw/pnDpv9bz9c+5BJgVrhgQh0LNrq01ql/PnpR45vabrS4A8ya4HcQPJykmicigSK9D2wS1qWmKAKcKvgylFygKlthYaXIghBAtlN/B7PPPP8+hQ4dYuHAh+fn5XHjhhSQmJvLcc8+Rm+vH3pFCiEZxotzOI1/8zOu/mDl6soKetjC+uGME8/84kFeuTSI20jmVIDbSema35arhRxtbX0NrvV+fgi9pciCEEC1XvXJmzWYzl19+OZdffjn5+fn8+9//5tFHH+Xhhx/mkksu4e677+biiy9u6LkKIXzYuLeA1I+3cqCgFAWdm0d05cEJfbAGOAK1CX07MDYxlvSsAvKKy4gJd6QWnNEOYJoKP7xqqADMvmcN/7dlHX23HONYGOzorKC7mevxiuNk5GUw2DaYwv8t9qvgy/bwLGlyIIQQLdhpFYClp6fz9ttv8+GHHxITE8ONN95IdnY2kyZNYtq0aTz33HMNNU8hhBfldpV/rNjFv9fsQdehYxsrv4s7wd0TehEQ4LziaDYpDOvWvmkmmrkYls0w1Mr2u7wITNfcQa8inV5Vx46EwztjTaT3OvWhUkClzrn7dbTn/s2eLbOoPHTI0FSqC75kRVYIIVo2v4PZvLw83nvvPd5++2127drFpEmT+Oijjxg/fjxK1Ud2U6ZM4YorrpBgVogz4JecIu79aCu/5BQD8PtBnXh4Qk/WrlzexDOrI3MxfHw9RtILvsuLoN3KMJex7Yrh/s80XhvvyJFK2q3Td59OkB1gHZUAFgvY7T7vIQVfQghxdvA7mO3UqRPdunXj5ptv5sYbbyTaTcvH5ORkhgwZ0iATFKK1UzXdbVqAqum8+d1vPPf1r1SoGu1CA3nqyvOY0DeWysrKpp62M011rMgaCGTtGpjSwwDXYjVT1RX+8rXmdPxYhJmuE35H+OjRhAwZwm+TJmPPzXWfN6soWGw2KfgSQoizhN/B7DfffMPIkSO9jomIiODbb7+t96SEEA7LtmczZ0mmU/euDpFW7rioO4u3Ha7p2JXSJ4a5v+tHdHhQU03Vu33rDaUWAPxYGEbbE57frw5w90fBunNNZHQ3ce8fXiCu69iaMbaHZzna1yqKc0ArBV9CCHHW8Xs3g9mzZ3P8+HGX40VFRVL0JUQDWrY9m2mLMlza0GYXlvHXL7aTnlVAaKCZeb87j9evH9x8A1nw2iRBBTZag1gaGsJGaxBFuvdtuKp9PtzEhpQ47p3yD1JqBbIAEePG0fHF+VhszvvZWmw2Or44Xwq+hBDiLOL3yuzq1aupcNPqsaysjLVr1zbIpIRo7VRNZ86STK8fygeYFf7vrpEkRIeesXnVm4cmCWkhwcxr35Zcy6m/ioZowTxIsc9LThj8JyZdNcupUUJtEePGET5mjKOdbX4+luhoQgYPkhVZIYQ4yxgOZn/88UfA0RozMzOTnFpb36iqyrJly+jYsWPDz1CIVig9q8BlRbauSlUnp6isZQSz1U0SSgtqDqWFBJMaE+USsG/qUEJxMISVuubMgiNn9mSIicuufMhjIFtNMZsJPT/5tKcvhBCi+TIczA4YMABFUVAUxW06QXBwMP/6178adHJCtFZ5xd4DWX/HNQ+nwlYVmNe+reOI4hqy+up3EGyx+gxkhRBCtA6Gg9msrCx0Xeecc84hPT3daReDwMBAYmJiMMvHd0I0iJhwq+9BfoxrcvvW1zRJUIEPIsKcUgtqS9yvE+ElRlcAc1EJJZs2y6qrEEII48FsfHw8AJqm+RgphDhdyQnt6BBpJaewzG3erIKjDW1yQrszPbX6qSoAc5cjW1vyTo3blhr7O8aen99g0xNCCNFyGQpmFy9ezMSJEwkICGDx4sVex06ePLlBJiZEa2Y2KcyelMi0RRku71V/KD97UuKZbUN7OsJsHnNkqyXv1Lj/M+P/Wba42eNaCCFE62MomL3iiivIyckhJiaGK664wuM4RVFQVbWh5iZEqzahbwcWXJPEnR9koNaKAGMjrcyelMiEvh2abnJ+UjsO9pojq2g6N65wBLI+w3NpeiCEEKIWQ8Fs7dQCSTMQ4szpYQtD1cFiUpj7u/Po1DakpgNYS5Lx8wceUwsA+hzQifK9G1cNaXoghBCimt/7zAohzpxvf3HkhQ7vHsUfBndu4tlU0VRHQdeJXMf+sfHDwdPOApqKeiCd77cv8npJbx2/ajO1aUOHJ+ZI0wMhhBA1DAWz//znPw1f8O677673ZIQQzr7dmQfARb2aSX5o5mJYNsO5NW1EHEx4GhKr8uVLCmD3N7Dra9IOrGJeeIDXVVmAY2HGbt/xH/8gbNjQ+s1dCCHEWclQMPuPf/zD0MUURZFgVogGUlxWyca9jiYDF/WKaeLZ4AhkP74e6pZwFWXDx9dB399D4UE4mA665rPgq7ZfOsEJK4R52ZLL3KYNoclDTuc7EEIIcRYyFMxmZWU19jyEEFVUTSc9q4C0zFwqVZ2u7UPoGtXEXb401bEi6zY0rTq2/dOaI2pMIvPCVXSt1OellaoOCcHmQMC1VXaduwghhBBOJGdWiGZk2fZs5izJdGplm1dczrLt2U27e8G+9c6pBZ4MnQ5Dp5NRlkPu1zcburRNg0e1FMwnl3sdpx0/Lo0ShBBCuDAUzKampvK3v/2N0NBQUlNTvY594YUXGmRiQrQ2y7ZnM21RhssKZEmFyrRFGbxybVLjBLS+CrpO5EPGu8au1XEQakQc32d9YWj4bZ0nMP3CJzmxbAWH8R7MgjRKEEII4cpQMLtlyxYqKytrfu6J4mb/SCGEb6qmM2dJpteP0ucsyWRsYmzDbsvlqaBr/FwIDHMEsTu/Aq3S0OXSyg4z77/jyS3JNTR+aOIUzJZAww0QpFGCEEKIugwFs99++63bnwshGkZ6VoFTakFdOpBdWEZ6VgHDurVvmJt6LOg6DJ/c4HwsLgkKfoOyQtfxACikRcWRmvkGuoHsVgUFW4iNpJgkAEIGD8LUpg3a8eMezzG3aSONEoQQQrgwnc7JBw4c4ODBgw01FyFarbxiL2X89Rjnk9eCrmoKJN8Gt6+D276Fyf86dbzOOBWY166t4UAWYEbyDMye9qd1QwrAhBBCuON3MGu323n00UeJjIyka9euxMfHExkZyV//+teaVAQhhH9iwq31H6epkLUWfvrU8aPmo6W0rsOWRQYKunToMxli+zpeJk6GKQshwjlvV42I44ML/0JuZZGh78EWYuOF0S+QEp/iuIuqUvDeIq+rsnCqAEwIIYSoze/dDO68804+//xznnnmGYYNGwbAhg0bePzxxzly5Aivvvpqg09SiLNdckI7OkRaPaYaKEBspJXkhHbOb3jIeVXGPoXT/1XLi+G31bDra9i1AoqzjU3sRJ3c18TJ0PvSmoKxtLLDzNu7mNwDSw1d7rbzbmP6gOk1K7JFy5eT+9Rc7Dk5hs6XAjAhhBB1+R3Mfvjhh3z00UdMnDix5li/fv3o0qULf/zjHyWYFaIezCaFxy5LZNr7GS7vVX+oP3tSonPxl5cmBub/3kTXjtdiSt8Pe9Icwadaaw9XcxCo5b4nFmZzPWYyQ8JI0valkZrxhKHUgmpD44Y6BbKH7rnXsVJskBSACSGEqMvvYNZqtdK1a1eX4127diUwMLAh5iREq1SpuQ/qYiOtzJ6U6Lwtl4EmBv0PvQeHah1umwA9x0OPcdB5KLw82NG9y0NBFxFxjm263FA1lXnp8wwHsnULvnRVJfepucYDWUXBYrNJAZgQQggXfgezd9xxB3/72994++23CQoKAqC8vJwnn3ySO++8s8EnKERrUFqhMnfpDgDuS+lBckJ78orLiAl3pBa4bMflo4lB9WjN1g9T/6sdQWz77lB7+7wJT1et7Co4B7RVYybMc95vtpaMvAzD22+5K/gq2bTZcGpB9ZxtD89CMRsvGBNCCNE6GApmf/e73zm9TktLo1OnTvTv3x+Abdu2UVFRwZgxYxp+hkK0Aq+u3kN2YRkd2wTzl1HdsAZ4Cdo01ZH/aoA27A5MA/7o/s3qgi53+8xOmOd434P8EuO5q7HWGP4afBX9fyrnZE46IYMH+ZX7arHZsD08i4hx4wyfI4QQovUwFMxGRkY6vb7qqqucXnfu3LnhZiREK3PoeCmvrt4DwCOX9vEeyLor+PLGXc5rbXUKutx2AHMjOsRY7upT6mR6L1iHPfefVM/YHB2NuW1bQ+fHzJxJu+uulRVZIYQQHhkKZt9+++3GnocQrdbcpTsot2ucn9COiX1jPQ/0VPDlho5CaUBbAjoP8z2BqoIufyTFJBEZFElheaHHMRftCab7J59jr5MXq+bno/pama3KkZVAVgghhC9+58wKIU6fqumkZxWw4bej/N+P2SjAY5MSPbeENtTkoJrjGts7XcNAP5oS+M3LVBRN5+plJ70WeJnCwtBOnqy6Vq1xkiMrhBDCD/UKZj/99FM+/vhj9u/fT0VFhdN7GRmuWwsJIU5Ztj2bOUsynfaUDQ40c6CghHPjIh2Ba92P/X0UfDmJiEMd+yTZv5kYiGPngYy8DPJL8okOiSYpJsmvzlu1FVcU80vBL3yd9TWFFe5XZRVNZ+ImjXZF3gNv7cQJou66i+OffOJUDCY5skIIIfzhdzD7z3/+k0ceeYQbbriB//3vf9x0003s2bOHjRs3cscddzTGHIU4ayzbns20RRkui5olFSrTFmXw2UVHGPjzPNeCrMQrjN3gwgdh9Cx0VYPflvLNgW94bvNzTjsP2EJszEyeWdOBy5OCsgJ+OfoLmQWZ7Di6gx0FOzhQfMDrOck7NW5coRFVbGy6gfHxdP8mzbG7QX4+luhoQgYPkhVZIYQQhvkdzC5YsIDXXnuNP/3pT7z77rs89NBDnHPOOTz22GMUFBQ0xhyFOCuoms6cJZkeP50fb0pnwIb56JzaWgtw7AX7/QJjN0kY5ciBVTV+rviZj9Z+5LIXbF5JHqmrUmtayuq6Tl5JHjsKdrDj6I6a4NXT1lsdwzpiC7GRkef8KUzyTo37P9OMzbOKJToaxWwm9Pxkv84TQgghqvkdzO7fv5/hwx0bqQcHB1Nc7FiCue666xg6dCgvvfRSw85QiLNEelaBx3a1JjQeC1iIrkPdLWUN58nWanKgaipfln7ptqlB9bG/rvsrn+z8hF+O/UJBmfv/iHaN6Eqfdn3o077qq10fIoMiUTWV8f8dT15JHjo6iqZz4wqteiYGpitNEIQQQjQMv4PZ2NhYjh49Snx8PPHx8Xz//ff079+frKwsdD/aUgrR2uQVuw9kAZJNvxCnGP1kw3eTgy35WyjSi7xe5WTlSdZnrwfArJg5p8059GnXh8T2ifRu15tebXsRFhjm9lyzyczM5JmkrkpFQaHPAeOpBVLgJYQQoiGZ/D3h4osvZsmSJQDccsst3HfffYwdO5arr76aK6+80u8JLFiwgISEBKxWK4MGDWLt2rVex5eXl/PII48QHx9PUFAQ3bp146233vL7vkKcaTHhVs/vcdzjeyqw0RrE0tAQNiZNQY3o4DwgIs7R/KCqyUFheSHfHPjG0Jyu7H4lH1zyAd9P/Z7PJn/Gkxc8yTV9rmGQbZDHQFZXVU7+kM6Qn8p5qe00bNZo2p4wdDvAUeDV8cX5UuAlhBCiQfi9Mvvaa6+haY6PE2+//XbatWvHd999x6RJk7j99tv9utZ//vMf7r33XhYsWMCIESP497//zcSJE8nMzKRLly5uz5kyZQq5ubm8+eabdO/enby8POx2u7/fhhBnXHJCOzpEWskpLHP58D+PNm7PSQsJZl77tuRaqv6oHvseW+eOzOw6jRRrHITZ0LsMY3dRFmt+epM1B9ewLX8bqq4amtOkbpM4L/o8w99D0fLl5D41t2b3gWhggc1GSZ/BQLrP86UJghBCiIbmdzBrMpkwmU4t6E6ZMoUpU6bU6+YvvPACt9xyC3/+858BmD9/Pl9//TWvvPIKc+fOdRm/bNkyVq9ezW+//Ua7du0A6Nq1a73uLcSZZjYpzJ6UyLRFrtvXbdR6U6CH0VY5UZNzmhYSTGpMlGvgW5LHfZmv8+e+f6YoZwdrN/+N7JPZTmO6hnflcPFhKqjAHQUFW4iNpJgkw/MvWr6cQ/fc67J3rD03l8Bc98Vip24oTRCEEEI0jnrtM3vs2DHefPNNduzYgaIo9OnTh5tuuqkmwDSioqKCzZs3M3PmTKfj48aNY/369W7PWbx4MYMHD+aZZ57hvffeIzQ0lMmTJ/O3v/2N4OBgt+eUl5dTXl5e87qoyJFHWFlZSWVlpeH5no7q+5yp+50tzsbnNqZXFP/6Y39mff4zxeWnPlGIjQgkVDdD1beqAvPat3UEsnUaKVQXcL2x/Y2aY0HmIAbHDOaCjhdwQdwFxATFMP/L+XxY8iEKilMhmFIVLt8/6H40VUNTfe9AoKsqOU8+5bUJAtYgKCt3zNdNE4SoGQ9h1zTQ/Nvx4Ew7G3/fnSny7OpPnl39ybOrn+b+3PyZl6L7WbW1evVqLr/8ciIiIhg8eDAAmzdv5vjx4yxevJhRo0YZus7hw4fp2LEj69atq9kdAeCpp57i3XffZefOnS7nTJgwgVWrVpGSksJjjz3GkSNHmD59OhdffLHHvNnHH3+cOXPmuBz/4IMPCAkJMTRXIRraykMK/9tvJiFc49LOOucrmYzcc+rTiI3WIG7uYPN5nd6W3gwJGkKCJYFAJdDl/Z8rfubL0i+disEilUguCb6EcwPPNTzf4D176Pza6z7HHRmbQmT6RgIKTzVUqIyMJH/yJE707Wv4fkIIIVq3kpISpk6dSmFhIREREV7H+r0ye8cddzBlyhReeeUVzFUfF6qqyvTp07njjjvYvn27X9er275T13WPLT01TUNRFN5//30iIyMBR6rC73//e15++WW3q7OzZs0iNTW15nVRURGdO3dm3LhxPh9OQ6msrGTFihWMHTuWgICAM3LPs8HZ/Nxy1u3lf/t/pd85Hbnn9+eh/HQC9jjeU4HvrZ6LxWq7Pvl6JnSd4HK8+tnde+m9pJpT2ZK/hSOlR4gKjmJg9EC/O4AVL12Kj0QCAM5NSSHs2WcpzchAzc/HHB1NcFISfVpQasHZ/Puuscmzqz95dvUnz65+mvtzq/4k3Qi/g9k9e/bw3//+tyaQBTCbzaSmprJw4ULD14mKisJsNpNTq40lQF5eHjab+xWpDh060LFjx5pAFqBPnz7ous7Bgwfp0aOHyzlBQUEEBQW5HA8ICDjjv3hNcc+zwdn43Kr//JhMJgJ2fQVpfwXcFHz5EBse6/XZVD+7YZ2GndZ8g2I7+B5UNS7QaiWw1qctLdXZ+PvuTJFnV3/y7OpPnl39NNfn5s+c/N6aKykpiR07drgc37FjBwMGDDB8ncDAQAYNGsSKFSucjq9YscIp7aC2ESNGcPjwYU6cOLUP0K+//orJZKJTp06G7y1EU9OqsnviDq9A//h69JKjNQVfuQZWMRUUYkNi/SrgOh0hgwdhatPG6xhzmzbSBEEIIcQZZ2j558cff6z5+d13380999zD7t27GTp0KADff/89L7/8MvPmzfPr5qmpqVx33XUMHjyYYcOG8dprr7F///6aLb5mzZrFoUOHalZ8p06dyt/+9jduuukm5syZw5EjR3jwwQe5+eabPRaACdHcLNuezb9W7saExjXHF6CjoyueC77qqi7gmpE8w+90gcYkLVOEEEI0BUPB7IABA1AUxanD10MPPeQyburUqVx99dWGb3711Vdz9OhRnnjiCbKzs+nbty9Lly4lPj4egOzsbPbv318zPiwsjBUrVnDXXXcxePBg2rdvz5QpU/j73/9u+J5CNKVl27OZtigDHY3zQlex1VpGtBqECoZTC2whNmYkzyAlPqVR5qirKiWbNmPPz8cSHU3I4EGUbNqMdvy41/O048cp2bSZ0POTG2VeQgghhDuG/vXMyspqtAlMnz6d6dOnu33vnXfecTnWu3dvl9QEIVoCVdOZsyQTc/h2gmxL2BtQyAyiAIhQjTU5uO2825g+YHqjrcjWbYoAYImNJXTkSEPn2/PzG2VeQgghhCeGgtnqlVIhRP2lZxWQr23C2nGRy3tFJmPp60PjhjZqIOu2KUJODoWffGLoGpbo6EaYmRBCCOFZvZom7Nmzh/nz5zs1Tbjnnnvo1q1bQ89PiLNGTtFJgmxLADdpsbUbDbjJma1Pxy5/6KpK7lNzvTdF8Kaqw5cUgAkhhDjT/N7N4OuvvyYxMZH09HT69etH3759+eGHHzj33HPl438hvCjUfsUUUOi5vktRXLtnQU1728Ys+CrZtNkptcCrut9A1Wvbw7OkVa0QQogzzu+V2ZkzZ3Lfffe57Fwwc+ZMZsyYwdixYxtsckI0V6qmkpGXQX5JPtEh0STFJHkMNLNPZLPqwGpe/9k1vcCdSE2jsFZQaAuIYMaIOY1W8AXGc13b3nADxV9/7ZxTa7Nhe3gWEePGNdb0hBBCCI/8DmZ37NjBxx9/7HL85ptvZv78+Q0xJyGatbR9acxLn0duyameWLYQGzOTZ5ISn4Jds7MtfxtrDq5h7aG17Dq2y6/rP593BBOQbzYTraokTXkJc7yxNtH1ZTTXNfzii7E99KDLbgeyIiuEEKKp+B3MRkdHs3XrVpduW1u3biUmJqbBJiZEc5S2L43UVanodXZVzS3J5b5V9zEweiB7CvdQVFGrDZ+uoJZ2gdLeRNp+4IT9uNtrK7qOTVUZXFZOTWgY3A66XtAo30tt1U0RvG2/Vd0UQTGbZfstIYQQzYbfweytt97Kbbfdxm+//cbw4cNRFIXvvvuOp59+mvvvv78x5ihEs6BqKvPS57kEsrVtyd8CQGRQJH3bJrMpM5YjR7oSFdyWN28YQr62idRVqQBO11Gq8mRnHD1Gc13jlKYIQgghmiO/g9lHH32U8PBwnn/+eWbNmgVAXFwcjz/+OHfffXeDT1CIpuAuJzYjL8MptcCTWcmzsCkXcfcH2zhZodI9Joy3bxxC53YhQAovjH7BNU1BVZlx9BgpJaXOFystgH3rIcHYPq/1oasqBe8tkqYIQgghWiS/glm73c7777/Pn/70J+677z6Ki4sBCA8Pb5TJCdEUPOXEjukyxtD5Px+08+i3W1A1neHd2vPKtYOIDA6oeT/lZAkXHThERsXRU3mxtVML6jrhO4CuL3dNEryRpghCCCGaG7+CWYvFwrRp09ixYwcgQaw4+3jLif3glw8MXeOjDcdRtfZcldSJub87j0BLrR3wMhfDx9djRmeI0UmF2YyO9IunJgneSFMEIYQQzY3f+8yef/75bNmypTHmIkSTMpIT64tWGYlakkDq2J4894d+zoGspsKyGRjPPlUgoiPED6/3fDzxu0mComCJjZWmCEIIIZodv3Nmp0+fzv3338/BgwcZNGgQoaGhTu/369evwSYnxJlkNCcWcMSjtXoHVMeE9vzJ/OPqgVw5sJPrOfvWQ9Fhg7OpuviEedAIjRLq0yRBmiIIIYRojvwOZq+++moAp2IvRVHQdR1FUVBVteFmJ8QZomoq32d/b2hsxdERWCK2YwoorDmm2yMpz53E3UOvdB/Ign+5rxFxjkA2cbLxc/zgT+6rNEUQQgjRnPkdzGZlZTXGPIRoMu4Kvryxn0ikPO9SzCFZKJZidHs4akkCYOLD9P3ccVF3zCY3PWuN5r6OfwrOv71RVmSrGc19jZk5k3bXXSsrskIIIZotv4PZ+Pj4xpiHEE3CU8GXJ9U5sWBCLenm8n52YRnpWQUM69be9eT44Y4mCKUFnm8Q3K7RA1kw3iRBAlkhhBDNnd/BLMDOnTv517/+xY4dO1AUhd69e3PXXXfRq1evhp6fEI3Gn4IvBQUdnfLcSfiqm8wrLvPybstpPdByZiqEEKI183s3g08//ZS+ffuyefNm+vfvT79+/cjIyKBv37588sknjTFHIRqFPwVfthAbt/d+AntxX59jY8Kt7t/Ytx5Kj3k/ubpJQiMr2bTZcJMEIYQQojnze2X2oYceYtasWTzxxBNOx2fPns2MGTP4wx/+0GCTE6Kx+FPwddt5tzF9wHRKK3TmL15Opep+zVIBYiOtJCe0c2zDtW+9o+grzOZIMSjONja5RmySUM1oAZg0SRBCCNHc+R3M5uTkcP3117scv/baa3n22WcbZFJCNCZ/C76Gxg0FTNz/yWavgSzA7EmJmH9Z4thPtvY2XCFRoBjMPW2kJgm1GS0AkyYJQgghmju/0wxGjx7N2rVrXY5/9913jBzZeP3jhWgI1QVfRgJZBYXYkFiSYpKYu3QHX/+cS6DZxP1je9Ih0jmVIDbSyivXJjHBtBE+vt51P9mSI3DS1z0br0lCXdUFYN6Y27SRJglCCCGaPb9XZidPnsyMGTPYvHkzQ4cOBeD777/nk08+Yc6cOSxevNhprBDNhb8FXwAzkmew6PsDvPGdY0u6Z//Qj8sHdGT6Rd1Jzyogr7iMmHBHaoEZDeb76PBlbQNl1fvT1h7XuE0S6kMKwIQQQrQE9eoABrBgwQIWLFjg9j1AGiiIM0rVVDLyMsgvySc6JJqkmCTMdYJCfwu+ZiTPgJPnMWfJJgAeHN+Lywd0BMBsUpy339JU+OFV3x2+yo7D6Ich4x3nsY3cJKEufwrAQs9PPiNzEkIIIerD72BW07TGmIcQ9eYuB9YWYmNm8kxS4lOoUCtYeWAlr217zdD1qgu+Mg+fYMqHG9B0+OOQzkwf7bqvLACZi11zZL1p3w3u3e5aIHYGV2SlAEwIIcTZol77zArRXHhqepBXksd9q+7jwo4X8uORHzleftzwNYfGDSW7sJyb391IaaXKyB5R/O2KviiKm65emYsdObL+fCgfZnMErglNl2MuBWBCCCHOFn4XgAnRXHjLga0+tubQGo6XHycmJIZbz7uVqOComnxYdyIDojle0JGb3k4nv7ic3rHhLLgmiQCzmz8qmupYkTUcyJ65Ai9fggcOAJOPP/4mk2OcEEII0YzJyqxosYzmwN6TdA83nXsTZpOZxPaJpK5KrenoVUN3hKQ5WeO59cctAEQGW3jrxiGEWwPcX3jfeuOpBc2swKt0y1bwlTKkaZRu2So5s0IIIZo1CWZFi+RP04O40LiaYrCU+BReGP2CS46tZo+kPHeSU4evwlI7Px48TlybYPcX9qe5QQMWeOmqSsmmzdjz87FERxMyeBCK2XeAbD96lJKMDEo3Z1D8zTeG7iU5s0IIIZo7CWZFi+Nv04PoEOe8z5T4FC7qfBEbczZz58erOFZkRS1JoG7WjQLMWZLJ2MRYzCY3qQlGmxuMfwrOv71BVmSLli8n96m52HNyao5ZYmOxPTyLiHHjao7puk5Afj5Fn39O+bZtlG7OoGLvXr/vJzmzQgghmrt6BbN79uzh7bffZs+ePbz44ovExMSwbNkyOnfuzLnnntvQcxSihqeCL3cUFGwhNpJiklzeM5vM6KXdOJLjeeVRB7ILy0jPKnDehqta/HAIbgelBZ4nEdyuQQPZQ/fcC7rz927PzeXQPfdScd99KAEBlGZspmTzZhIKjpFX5xpBPXoQnJRE8MAB5D33POrRoy7XA0BRsNhs0jRBCCFEs+d3MLt69WomTpzIiBEjWLNmDU8++SQxMTH8+OOPvPHGG3z66aeNMU8h6t30oO5+s9XyissM3df7uDPTWkBXVXKfmus+8Kw6lv/CC06HNYuFkH7nETpoMMGDkggZMABzra5fppAQR3CsKM7Xrdq1wfbwLEPpC0IIIURT8juYnTlzJn//+99JTU0lPDy85vhFF13Eiy++2KCTE6K2+jQ9SIlP8TgmJtzq8T2XcZrqui/svvVQesz7yaUFjnF+bMPlLie2ZNNmp9QCT6wDBhCRMoaA/v1ZtX8/EydPJiDAfQFbxLhx8OJ817QFm80lbUEIIYRorvwOZn/66Sc++OADl+PR0dEcPXq0QSYlhDv5JcaKkaqbHnhaka2WnNCO2IggcorK3b6vALGRVpLLvoP5M107dvW+zNjE/SgU85QTGz7eWGDZ7tpribzsUiorK9EP+95pIWLcOMLHjKlXQZkQQgjRHPgdzLZp04bs7GwSEhKcjm/ZsoWOHTs22MSEqKtuIZcnQ+OG+gxkwdGSdnDXdvzfj9ku71WXey1IOoj5k3twSScoOgzpxjqKGS0U85gTm5PDsXcXGrpGfQq2FLNZtt8SQgjRYvndNGHq1KnMmDGDnJwcFEVB0zTWrVvHAw88wPXXX98YcxQCgP5R/TEp3n/LmhQT/aP6G7reoeOlpO1wrJq2CXH+KD420sor1/Rn4M/zqH9erPEmCV5zYg3dSsESGysFW0IIIVodv1dmn3zySW688UY6duyIruskJiaiqipTp07lr3/9a2PMUQgAth3ZhqZ73+hf0zW2HdnGkNghPq8376tfKKvUSE5oxwd/Pp+Ne4+RV1xGTLiV5IR2mPd952dTBL3Oaww3STCaE+u4tBRsCSGEENX8DmYDAgJ4//33eeKJJ9iyZQuapjFw4EB69OjRGPMTAvCvSYKR3Nr0rAKWbDuMosDsSYlYzCbn7bc0FX5bbWxyQ6dD5hdOga8e1oGSLrdh/82MpTjdax6qrmmUZGQYulXbG26g+OuvpWBLCCGEqFKvrblGjRpFt27d6NatW2PMSQgn3xz4huc2P1fvJgl1qZrOnCU/A/DHIV04Ny7SeUDmYlg2w/iqbK9LYNzfa3Y7KNp2iNzXP8eeeyqntm5jA/XECU6uW8+J1as5sXYNav4RQ7cKv/hibA89KAVbQgghRBW/g9mxY8cSGxvL1KlTufbaa+nbt6/vk4Sop58rfuajtR+ddpMEVdNJzyogr7iMnw8X8vPhIsKtFh4Y19N5YOZi+Ph6jOXJKo5dDeKHO1IJEkY6iriefMx9Y4O776H4iiuwZ2dTsnkz2O2nrhQcDJqGXu5+Z4XaTQykYEsIIYQ4xe9g9vDhw3z00Ud8+OGHPPPMM/Tt25drr72WqVOn0qlTp8aYo2ilVE3ly9IvT7tJwrLt2cxZkkl2oXPzg/GJNtqHBZ06oKmOFVmjgSw45cQaaWxQ9MUXNYcCu3YlbNSFhI0aRfDgwZxYtcqxm0Gt8Y5bSU6sEEII4YnfuxlERUVx5513sm7dOvbs2cPVV1/NwoUL6dq1KxdffHFjzFG0Ulvyt1CkFxkaawux8cLoF1yaJCzbns20RRkugSzAfzMOsWx7rW259q03nloQEQdTFkLi5JpDRou42l4zlW5fL6Pbsq+wzZpF6PDhmAIDiRg3jo4vzsdic97Ky2Kz0fHF+ZITK4QQQrjh98psbQkJCcycOZP+/fvz6KOPsnq1wYIZIXxQNZX0nHRDYz01SXDkxma6XWc1oZFs+oX1X2xkbMjFmLuOMN7c4MIH0Uc+REnGVuz/92VN3qo9P8/Q6cEDkwiMj3f7njQxEEIIIfxT72B23bp1vP/++3z66aeUlZUxefJknnrqqYacm2il0valMS99nuGCL09NEtKzCtyuyI43pTM7YCFxSgHYgYX/gPBYCDfW9KPocDi5Y8c7rcKao6IwhYYYOt9XYwPJiRVCCCGM8zuYffjhh/nwww85fPgwKSkpzJ8/nyuuuIKQEGP/kAvhTdq+NFJXpZ52wRdAXrH7QPaVgPmug4tzHF8+7lh0tAOH/vNvl7xY9cgRVF8bEtQq4hJCCCFEw/A7mF21ahUPPPAAV199NVFRUY0xJ9FKqZrKvPR5p13wVS0m3Or02oTG7ABHW1iT4u4MIDAcKk5UvXBugqBrkJsRCXqhx3mZIsLRiqvOlyIuIYQQotH5XQC2fv167rjjDglkRYNSNZUPfvnAcGqBp4Kv2nRdp3bMmmz6hTilwHMgC1BRDKNnQUQH5+MRcZT0nY39qOdAFkArKibqzjuliEsIIYQ4QwytzC5evJiJEycSEBDA4sWLvY6dPHmy1/eFqMvfHFlPBV+1fbHlEA9+us1pbTWG48Ym1L4b3Lu9pgkCYTaIH4596TJDpwfGx9P9mzQp4hJCCCHOAEPB7BVXXEFOTg4xMTFcccUVHscpioKqqg01N9EK+JMjW81TwRc4VmNfWrmb51f8CsAl58Uy4dxY5n71C3nFbYzdIMxW0wShNl+FW7XHSRGXEEIIcWYYCmY1TXP7cyFOhz85suC74KvCrvHw5z/x6eaDAPxl1DnMGN8bk0nh0n5xpO9KRPvwKRQ0PGYaKGbofL7bt4IHDgCTCbz9GTCZHOOEEEIIcUb4nTO7cOFCyt203KyoqGDhwoUNMinROmTkZRhOLfBV8FVYWsmNb6fz6eaDmE0KT17Zl1kT+2CqSpA1mxSGBe7G5C2QBdBVOPCD27dKt2z1HsgCaJpjnBBCCCHOCL+D2ZtuuonCQtcimOLiYm666aYGmZRoHfJL8g2P9VbwdfBYCb9/ZT3r9xwlNNDMGzcM5pohnSBrLfz0qeNHTTXeFMHNOF1VOblhg6HT7fnGvy8hhBBCnB6/t+bSdR1FcV3bOnjwIJGRkQ0yKdE6RIcYy0G9P+l+rjv3Orcrsj8ePM7N72ziyIlyYiOsvHXjEBKPr4L5M5xb00bEQfwFxiYW5rwTQdHy5eQ+NddQq1ownlsrhBBCiNNnOJgdOHAgiqKgKApjxozBYjl1qqqqZGVlMWHChEaZpDg7JcUkERkUSWG55+2uQpQQ/tjzj4CJDXuOkldcRky4leSEdnyzI5d7PtpKaaVKnw4RvHXjYDocWgEfXw9183CLDsNPH/uYkVIV9A4/ddry5Ry6516XJgnuT5emCEIIIcSZZjiYrd7FYOvWrYwfP56wsLCa9wIDA+natStXXXVVg09QnOV8xYg6LM/MZe6y3U6taSOsForK7ACM6hnNy9ckERagwLIZ3i9qsYK9OufbuSkCABPmOXYywJFakPvUXMOBLEhTBCGEEOJMMxzMzp49G4CuXbty9dVXY7VafZwhhHcZeRkUVnhvQlBCCalL/oe9pJvT8epAdmSPKN68YTAWs8mRG1s7tcAdexmMfhgy3nFNQ5gwDxJP7ZNcsmmz8dQCmw3bw7OkKYIQQghxhvmdM3vDDTc0xjxEK2S4AMxS7PGt3XknTuVwGy3w8tAUgTo5uUYLudrffjvRd90pK7JCCCFEE/A7mFVVlX/84x98/PHH7N+/n4qKCqf3CwoKGmxy4uxmtABMt4d7fC+7sIz0rAKGdWvvUrjlkYemCHUZLeQKHTZMAlkhhBCiifi9NdecOXN44YUXmDJlCoWFhaSmpvK73/0Ok8nE448/3ghTFGer/lH9MSnefwvquoJaEu91TF5xVS5t5/PBx/W8NUWoq6ZJgjfSJEEIIYRoUn4Hs++//z6vv/46DzzwABaLhT/96U+88cYbPPbYY3z//feNMUdxltp2ZBua7r0JgaLomEP2eR0TE16Vv33gB/BxPW9NEeqSJglCCCFE8+d3MJuTk8N5550HQFhYWE0Dhcsuu4wvv/yyYWcnzmpGc2ZNHnJmFaBDpGObLjQVfltt7MYGcmulSYIQQgjRMvgdzHbq1Ins7GwAunfvzvLlywHYuHEjQUFBDTs7cVY7nZzZ6rYdsyclYv5lCczvC2ufNXZjH7m1RcuXs3tMCkdffdXQ5aRJghBCCNF0/A5mr7zySr755hsA7rnnHh599FF69OjB9ddfz8033+z3BBYsWEBCQgJWq5VBgwaxdu1aQ+etW7cOi8XCgAED/L6naB6qmyZ4E6KEMHvsJS7HYyOtvHJtEhNMGx1NEnxtyQU4miJ0dGqKUFd1kwRDW3IpCpbYWGmSIIQQQjQhv3czmDdvXs3Pf//739OpUyfWr19P9+7dmTx5spczXf3nP//h3nvvZcGCBYwYMYJ///vfTJw4kczMTLp06eLxvMLCQq6//nrGjBlDbq7B7ZhE82SgaYKpauutblGh3J3So6YDmBnN0bbW50XAXVMEl1tJkwQhhBCixfE7mK1r6NChDB06tF7nvvDCC9xyyy38+c9/BmD+/Pl8/fXXvPLKK8ydO9fjeX/5y1+YOnUqZrOZL774ol73Fk3PaNOE//t1A9CWy/rHcfmAjqfezFpvcEUWt00RXO4lTRKEEEKIFsdQMLt48WLDFzS6OltRUcHmzZuZOXOm0/Fx48axfv16j+e9/fbb7Nmzh0WLFvH3v//d533Ky8spLy+veV1UVARAZWUllZWVhuZ6uqrvc6bu11ypmsqW/C0cKT1CVHAUeSV5hs77KecAJiK5JOxX7FszIMyG3nkYSuEhQ7+B1RGpaBfOcKzIevg10FWVonXrDM2n7W230m76dBSzudn+msrvufqTZ1d/8uzqT55d/cmzq5/m/tz8mZehYPaKK64wdDFFUVBV1dDYI0eOoKoqNptzMY7NZiPHw+rYrl27mDlzJmvXrsViMbaoPHfuXObMmeNyfPny5YSEhBi6RkNZsWLFGb1fc/Jzxc98WfolRXpRzTErxloi9y0/wPyg14j9+lRDjtKAthwLTiDOwPkbcoM4uuxrj++Hbd9O9OIlBBR6XyWu9iNQ+rXn6zUnrfn33OmSZ1d/8uzqT55d/cmzq5/m+txKSkoMjzUUEWq+9to8DTWtSKvouu5yDBydx6ZOncqcOXPo2bOn4evPmjWL1NTUmtdFRUV07tyZcePGERERUf+J+6GyspIVK1YwduxYAgICzsg9m5NvDnzDR2s/Qq+T21pGmdfzdB2C7MG8Z3+fulmp1spjxFUec4zj1O4GTuejQEQc5//hXo95sifS0shZ9L7hPFmLzcboqlXZ5qy1/547HfLs6k+eXf3Js6s/eXb109yfW/Un6Uacds5sfUVFRWE2m11WYfPy8lxWawGKi4vZtGkTW7Zs4c477wQcQbau61gsFpYvX87FF1/scl5QUJDbLcMCAgLO+C9eU9yzqamaynObn3MJZOtSUJzGVMeWM44WYAZMSt3xVSwhKPbS6rPqXBGYMI+AIPcrwLqqcuTpZ/wu+Aq0GltRbg5a4++5hiLPrv7k2dWfPLv6k2dXP831ufkzJ7+D2SeeeMLr+4899pih6wQGBjJo0CBWrFjBlVdeWXN8xYoVXH755S7jIyIi+Omnn5yOLViwgJUrV/Lpp5+SkJBg6L7izMrIyyC3xPeOE22C2nCs/FjNa90eSXzeAKZUvOd+2bWavQRGPwwZ7zgXg/ko+NJVlYL3FknBlxBCCNHC+R3Mfv75506vKysrycrKwmKx0K1bN8PBLEBqairXXXcdgwcPZtiwYbz22mvs37+f22+/HXCkCBw6dIiFCxdiMpno27ev0/kxMTFYrVaX46L5MNrl66EhD3HkuJW/f/0Duj0ctSSB7qbvIdDAye27wb3bYd96R3evMJtjL1kPqQVFy5eT+9Rcw4Fs+9tvJ/quO5t9aoEQQgjRGvkdzG7ZssXlWFFRETfeeKPTCqsRV199NUePHuWJJ54gOzubvn37snTpUuLj4wHIzs5m//79/k5RNCNGu3zZQm2oxXHYi07tPJFHG2M3CbM5AteEkT6HVjdFMJRaUCV02DAJZIUQQohmyu8OYO5ERETwxBNP8Oijj/p97vTp09m7dy/l5eVs3ryZCy+8sOa9d955h1WrVnk89/HHH2fr1q31mLE4U/pH9cekeP9tZlJM9I/qT0y4cy7qJq0nqq54jzsVM3Q+39Bc/GqKANLhSwghhGgBGiSYBTh+/DiFBrc2Eq3HtiPb0HTvu2FousaWvK1kZjv//hls+hWzouNmc4tTdBUO/GBoLv40RZAOX0IIIUTL4HeawT//+U+n17quk52dzXvvvceECRMabGKi5VM1le+zvzc0ds5XG8jc1b3mtQmN4abtxm50wneBma6qnNywwdj1kIIvIYQQoqXwO5j9xz/+4fTaZDIRHR3NDTfcwKxZsxpsYqJlS9uXxrz0eYZ2MgDYeUjBGmDikUv6cG7hajp+PwcbR43dLMx1K7fa/C34ipk5k3bXXSsrskIIIUQL4Hcwm5WV1RjzEGeRtH1ppK5K9bm3LDjSV3V7JOe2H8g/pgykW/5K+PoeQ+dS1RSB+OEeR/hV8FXVFEECWSGEEKLlaLKmCeLspGoq89LnGQ5kAcba/sJzl4zAoujw3gyqenf5UDViwjyPW3D5VfAlObJCCCFEi+R3MFtWVsa//vUvvv32W/Ly8lxa3WZkZDTY5ETLY7RJAoBZa8PdAx7glqSqJhlZa50bH3jjoykC+FfwJTmyQgghRMvkdzB78803s2LFCn7/+9+TnJyM4rXUXLQ2Rpsk9LZeyTtX/JXQoFpdEQwUcgFw4YMwepbHFdlq9nxjc5GmCEIIIUTL5Xcw++WXX7J06VJGjBjRGPMRLZiq6eQdM9KyCx4aNck5kAWfhVw1Ekb5DGQBLNHGGjZIUwQhhBCi5fI7mO3YsSPh4eGNMRfRgi3bns2cJZlkF54krLcCeN4ftrpJgovO54NiAm/70vrRJCF44AAwmUDzcj2TyTFOCCGEEC2S300Tnn/+eWbMmMG+ffsaYz6iBVq2PZtpizLILizDHLIPxUejA03X2HZkm+sbB37wHsiCX00SSrds9R7IAmiaY5wQQgghWiS/V2YHDx5MWVkZ55xzDiEhIQQEBDi9X1BQ0GCTE82fqunMWZJZs3eBYik2dJ5Lbq2mwm+rjd3UYG6t0ZxZo+OEEEII0fz4Hcz+6U9/4tChQzz11FPYbDYpAGvl0rMKyC4sq3mt242loESH1MpnzVwMy2YY38nAYG6t0ZxZo+OEEEII0fz4HcyuX7+eDRs20L+/m5xH0erkFZc5vVZLEtDsISjmEo+pBm2C2pAUk+R4kbkYPr4eGqhJQm0hgwdhatMG7fhxj2PMbdoQMniQoesJIYQQovnxO2e2d+/elJaWNsZcRAsUE271/6TquFVTHSuyRgNZ8NokoT6M3FkIIYQQzZffwey8efO4//77WbVqFUePHqWoqMjpS7QuyQntiI0IqnltDsnCZPG8KgtwvOI4GXkZsG+9f00Spiz02iShrpJNm72uygJox49Tsmmz4WsKIYQQonnxO81gwoQJAIwZM8bpuK7rKIqCqqoNMzPR7KiaSkZeBvkl+USHRJMUk4TZZOb8c9rzv62HwVSKJdJYB7j8knw4ccLYfUekYh7zV68rsrqqOjp+5edjiY4mZPAgKQATQgghWgG/g9lvv/22MeYhmrm0fWnMS5/n1KrWFmLjL31TWfFbFta4HwgI/wlMdkPXi877Fdb809BYPeFCr4Fs0fLl5D4116l1rcVmI6hXL0PXlwIwIYQQouXyO5gdNWpUY8xDNGNp+9JIXZWKXifDNLcklyfSZ2DuCNWhZofgrhwrz6dMO+n2WgoKtsAIkpY9jq+MVR2F0oC2BHQe5nFM0fLlHLrnXtCdr2XPzcWe62MLL0XBYrNJAZgQQgjRgvkdzK5Zs8br+xdeeGG9JyOaH1VTmZc+zyWQrU3X4aK4y7ht4FT6RvXlm/3fkLoq1fFerfOUqiKuGUcLMPssvXKM3d7pGgZ6WJXVVZXcp+a6BLJOVwkORi8rOzXRmjcc17c9PEta2QohhBAtmN/B7OjRo12O1d5rVnJmzy4ZeRlOqQXuKApc3+93nBd9HgAp8Sm8MPoFt2kJM7pOIuXLR33fOKQ96sTnyP7NxEAPQ0o2bXZKLXBHLy0l6q67OP7JJy5pCLaHZxExbpzvuQghhBCi2fI7mD127JjT68rKSrZs2cKjjz7Kk08+2WATE82DS6cug+NS4lO4qPNFrgVjP39u7MYT5qL3vgx+W+pxiNHCrcD4eLp/k+ZSICYrskIIIUTL53cwGxkZ6XJs7NixBAUFcd9997F5s2xzdDZx6tTl5zizycyQ2CHOBw127yK8g88h/nT4UsxmQs9PNnZvIYQQQrQYfu8z60l0dDQ7d+5sqMuJZqJ/VH9MivffJibFRP8ogx3hOp8PPq6HYnaM8yF44AAw+biWyeQYJ4QQQoizkt8rsz/++KPTa13Xyc7OZt68edLi9iy07cg2NF3zOkbTNbYd2ea6CuvOgR/Ax/XQVce4TkO9DivdshU0H9fSNEq3bJVVWSGEEOIs5XcwO2DAABRFQa9TQT506FDeeuutBpuYaB5yT+Y13DhNhd9WG7vxCeeiM2mKIIQQQgh3/A5ms7KynF6bTCaio6OxWq0NNinRfBw5HuR7kJFxmYth2Qzj7Wtr5daeSEvjyNPPOO9GEBtLeJ0udJ5IUwQhhBDi7OV3MBsfH98Y8xDNVID9HDR7CIq5hFo7sNXQddDVECJNPT1fJHMxfHw9vpokOCgQEQfxw0HVCNu+nZxF77s2RcjJ4dj77/u4lDRFEEIIIc52hgvAVq5cSWJiIkVFRS7vFRYWcu6557J27doGnZxoOnZVY+GGvTy19BdD42PCPazMa6pjRdZoIAswYR6YzOiqSvTiJV6bImCp+v9Y3UhbmiIIIYQQrYLhYHb+/PnceuutREREuLwXGRnJX/7yF1544YUGnZxoGut2H+GSf67lsf/9TJl5NyaL+1VZcMSMJksJ5pC97gfsW288tSAiDqYshMTJAJRmZBBQWOj9HLudqLvuwmJz3vLLYrPR8cX50hRBCCGEOMsZTjPYtm0bTz/9tMf3x40bx3PPPdcgkxJNY9/Rkzz55Q6WZzqKr9qEBDDx/Ej+z3uTLQAKyo64HvSj4Eu/4H5KwsZi/60AS3E6IYMHoUpTBCGEEEL4YDiYzc3NJSAgwPOFLBbypWq8RTpRbuellbt567ssKlQNs0nhuqHx3JvSg11F2wwFsy5NE/wo+Co6YCX38WXYj3xYc8xis2FJSDA0f2mKIIQQQrRehoPZjh078tNPP9G9e3e37//444906OC7a5NoPjRN59OMgzyzbCdHTpQDMLJHFI9dlkgPWzgASdYkIoMiKSz3/HF/m6A2JMUknTrgR8FX0YFgDq1rCzi3Sbbn5mLPzXV/UjUp8BJCCCFaPcPB7CWXXMJjjz3GxIkTXbbhKi0tZfbs2Vx22WUNPkHRODbtLWDOkkx+OuQIUhOiQvnrpX24uHcMSt0EWV8xae33/Sj40jWF3AzXHOza1MBAzJUVgOJcCCYFXkIIIYTAj2D2r3/9K5999hk9e/bkzjvvpFevXiiKwo4dO3j55ZdRVZVHHnmkMecqGsDh46XM++oXFm9zfPwfHmTh7jE9uGF4V8wmnU25m8gvySc6JJqkmCQy8jIorPBehHW84jgZeRkMiUmCH141XPBVUtIBe6n3MeaKCtreMZ3i/37mvM+szYbt4VlS4CWEEEK0coaDWZvNxvr165k2bRqzZs2q6QCmKArjx49nwYIF2OpUlIszS9V00rMKyCsuIybcSnJCO8wmxwpmaYXKv9fs4dXVeyir1FAU+OOQztw/rhdRYUGk7UtjXvo8cktOfbRvC7Ex2DbY0L3zdy2DD643vnPBhQ9iP9kf/u8hn0MDu3SRAi8hhBBCuOVX04T4+HiWLl3KsWPH2L17N7qu06NHD9q2bdtY8xMGLduezZwlmWQXltUc6xBp5bHLEqnUdOYt3cHhqveSu7bjsUmJ9O0YCUDavjRSV6Wi10kNyC3J5cusLw3dP3rdS1BW5ntgtYRRWPKMdRczS4GXEEIIITzwuwMYQNu2bRkyZEhDz0XU07Lt2UxblOGSpZpdWMa09zNqXndsE8ysS3pz6XkdavJiVU1lXvo8l0DWKAUFm6qRZDiQPdXhK7ijCiYTaJrH0bqiYO3fv15zE0IIIcTZr17BrGg+VE1nzpJMn6HovSk9uH1UN6wBzh/NZ+RlOKUWeKOgOAW9CgqgM+PIEYx94O/c4at0y2avgSyAouuUbdtG0PDhhu4ghBBCiNbFcAcw0TylZxU4pRZ4cn5Ce5dAFiC/xNjewNf1uY6YkBinY7aQGF5oP4KUEkcVl67BydxACvcFczI3EL1unFrV4UvvdSklGVsoWLjQ0L2NNk8QQgghROsjK7MtXF6xsY/3PY1zaXbgwUVdLuL+wfeTkZfh2O0g71eS1v8bc9FGoKrxQUYk9tJTAbMlWMWWVEhE5zLUEY9xorQHJ95ay8m1T6H6alNbizna2ByFEEII0fpIMNvCxYRbfQ/yMi4pxnhTBLPJzJDYIVXdvR6nei/ZogPWqsYHzuylJg6ta0t+pELFx285pRSYIiIIHTGck+s3oHkKbBWFyogIgpOS3L8vhBBCiFZPgtkWLjmhHR0ireQUlrnNm1WA2EjHNl0enUZTBF2D3IzIWnere3dwbFOrEdSjB2GjRxE2ahTBAwagWCwULV/OoXvurbqPa1OE/MmT6CNbcAkhhBDCA8mZbeHMJoXZkxLdvlcdWs6elFiz32xd3poiKJpO4j6Nc7cUsO3r99ErK1yaIpTkB1alFri/frW455/jnCWLibn/fkIGD0axOP4fFTFuHB1fnI+lzh7FFpuN2Bee50Tfvl6vK4QQQojWTVZmzwIT+nbgySv78vDn252Ox0ZamT0pkQl9O3g811MBWPJOjRtXaEQVVx1YPJfdoXOxDSggojNodoWiA1aOZIYZm6SX1d+IceMIHzPGpSmCXdNg6VJj1xdCCCFEqyTB7Fmiet/YnrYw7riou0sHME/cFYAl79S4/zPXLbPsJ3UOrWvLMVs5ZUcD0ezGF/YtPoq43DZF8LFtlxBCCCGEBLNniW9/yQNgcv84Lh/Q0fB5/aP6Y1JMaFX7aCmazo0rqn7uMtpxpCTXUUwWEGonMqGEY7tDUctMbs9AUbDYbIQMHuTPtyOEEEIIYYgEs2eBcrvKut1HABjdK8bHaGfbjmyrCWQB+hzQT6UWeBEzoJB2vU6iKBAUaa/azUDHKaCtWi22PTwLRYq4hBBCCNEIJJg9C2zae4yTFSox4UGcGxfhcZyqqaf2iQ2JJikmySlnVtF0+u411tbWEqxVx6pEdC6DEcfI3doO+8laY2w2bA/PImLcuHp9X0IIIYQQvkgw24Kpmk56VgFvrP0NgAt7RtXkztaVti+NeenznFrX2kJsDLYNBtwUfPlgsapOryP+/Bjhg2+lJGOrUxGXrMgKIYQQojFJMNtCLduezZwlmU6tbNN25LFse7bL7gVp+9JIXZWKXmdLgdySXL7M+tJjwZd7OpYQlZDoiqrXiqNN7fm3o5jcFHEJIYQQQjQi2We2BVq2PZtpizKcAlmAwpJKpi3KYNn27JpjqqYyL32eSyBbTdF0blrheM/7vgdQvb+WbWARiqnWGRPmgUlWYIUQQghx5kkw28Koms6cJZluQ9PqY3OWZKJqjlcZeRlOqQV19Tmg075YNxDIgiVEpeOIY44cWXCsyE5ZCImT/foehBBCCCEaiqQZtDDpWQUuK7KnaJhCssjXi3lvi851Ay/y2BQB/Cv4ap9YTHTf4qoVWeDCB2H0LFmRFUKIelBVlcrKyprXlZWVWCwWysrKUFXVy5miLnl29dMcnltgYCAm0+mvq0ow28LkFbsPZC3h2wmyLcEU4GhN+/z2j1i4J5r21vZux/tb8BVqKz8VyAIkjJJAVggh/KTrOjk5ORw/ftzleGxsLAcOHPBYyCvck2dXP83huZlMJhISEggMDDyt60gw28LEhFtdjlnCt2PtuMjleH5pPvmlriuzDVLwFT/cj1kLIYQAagLZmJgYQkJCaoIITdM4ceIEYWFhDbJS1ZrIs6ufpn5umqZx+PBhsrOz6dKly2kF1BLMtjDJCe3oEGklp7CsKkdWI8i2BKjpUeAiLCCMk5VVG8BqmpcOX3VJwZcQQjQUVVVrAtn27Z0/NdM0jYqKCqxWqwRkfpJnVz/N4blFR0dz+PBh7HY7AQEB9b6O/Kq3MGaTwuxJiVWvNALarsMUUOg2kFU0ncR9Gv23FjGrLBmbNbqmw5ehgq9QRQq+hBCigVTnyIaEhDTxTIRoHqrTC043Z1dWZlugCX07MPXi43yx/5WaHNm6XHNi17EgFEr6RAFHfN6j/VWjiH78nygHf4ATuRBmc6QWyIqsEEKcFsnrFMKhof4sSDDbAqXtS2Nx9jwUD796nnJi7Sd1AjflY2RdNjR5MEpAICSMPM3ZCiGEEEI0HkkzaGGqmyCgu8+RVTTdS06sUvWlg4cmCqBjCYWQS65vqCkLIYRoRbp27cr8+fObehoN5mz7fs5GTR7MLliwgISEBKxWK4MGDWLt2rUex3722WeMHTuW6OhoIiIiGDZsGF9//fUZnG3Tq2mC4GFx1VhObPW7dQPaqoKvO65zrMoKIYRollRNZ8Oeo/xv6yE27Dla0yinMR04cIBbbrmFuLg4AgMDiY+P55577uHo0aONfu/m7PXXX2fkyJG0bduWtm3bkpKSQnp6uss4X/GOrus8/vjjxMXFERwczP+3d+dxUZX7H8A/Z2ZYBmQRlE0Bt1QIAhUxRQWvLIrLVXNJ8yrpNRU3xOtC5XVJRQ0U00zzGnpzw/qpN8sQUEENVGRxDy0JXEDIhQHZZuY8vz+Io+MMMFAjoN93r/OKc84z5zznCzJfnnkWHx8fXLt2TaVMRUUF5syZg1atWsHY2BjDhw/H3bt3a63fpUuXMH78eNjb20MqlcLJyQmbNm1SK3flyhV4e3tDKpWiTZs2WLlyJRh79nOlTQ62a9cucByntpWX1zQ//l+jUZPZmJgYhISE4KOPPkJGRgb69euHwYMHIzc3V2P506dPw8/PD8eOHUNaWhoGDBiAYcOGISMj4yXXXDeUvBKp+ak4dvsYUvNToeTVO0TfeHij1mu0LNHuXi29O0FirJrySow5tFk0CaZTPtS6zoQQQl6u2Kt56LvuJMbvOId5BzIxfsc59F13UmUp87/a7du34eHhgZs3b2L//v345ZdfsG3bNpw4cQK9e/fGo0ePdHbvuiiVSvC8ttNN/vUSExMxfvx4nDp1CikpKXBwcIC/vz/u3bsnlNEm31m/fj02bNiALVu2IDU1FTY2NvDz80Nx8bMJ4UNCQnD48GEcOHAAZ8+eRUlJCYYOHVrrAKq0tDS0bt0ae/bswbVr1/DRRx8hLCwMn3/+uVBGJpPBz88PdnZ2SE1NxebNmxEREYENGzYIZbTNwUxNTZGXl6eyGRqqTyv6l2KNyNPTk82YMUPlWNeuXdmSJUu0voazszNbsWKF1uWLiooYAFZUVKT1a/6syspKduTIEVZZWVljmfjf4tnAgwOZyy4XYRt4cCCL/y2elcnL2NFfj7KgH99XOa9pG7vCmV3v0rXOreTIDsZXVrCSIzvYk61Lhf2mRJu4Ec0odg1HsWs4il3tysrK2PXr11lZWZnaOaVSyR4/fsyUSmWt1/jxyn3WbvH3zPGFrd0f249X7uuk7oMGDWJt27ZlpaWlKsfz8vKYkZGRynu5o6MjW7lyJRs/fjwzNjZmtra27LPPPlN53bJly5i9vT3T19dntra2bM6cOcK5iooKtnDhQmZnZ8eMjIyYp6cnO3XqlHA+OjqamZmZsaNHjzInJycmFovZhg0bmIGBAXv8+LHKfebMmcP69+8v7P/000+sX79+zNDQkLVt25bNmTOHlZSUCOcfPHjAhg4dygwNDVm7du3Ynj17mKOjI9u4caPWsVIoFMzExITt3r1bOFZXvsPzPLOxsWFr164VzpeXlzMzMzO2bds2xhhjT548YXp6euzAgQNCmXv37jGRSMRiY2O1rh9jjAUHB7MBAwYIP3Nbt25lZmZmrLy8XCgTHh7O7OzsGM/zNV7nxRys+nujrdr+TdQnX2u0AWCVlZVIS0vDkiVLVI77+/sjOTlZq2vwPI/i4mJYWFjUWKaiogIVFRXCvkwmA1A1RcrzSwnqUvV9arrfiTsnsOjMIrAXPvZ/UPoA8xPnw1BsiHJlVRM9Y4CIicA4pcZOsz+3BUoMgRblDJo7GzCIDTjo+Y2HAhz0AyejukOBoqqSDXtIHagrbqRmFLuGo9g1HMWudnK5HIwx8DwvtCQyxlAmV1b9v1IJcYW8xhHeSp5h2XfXNI54qP6Nv/y7a+jdwQJiUd0DfaV6Yq1Gkz969AjHjx/HqlWrYGBgoNIKamVlhQkTJiAmJgZbtmwRrvfpp58iLCwM//73vxEXF4f58+ejc+fO8PPzw7fffouNGzdi3759ePPNN5Gfn49Lly4J1w0KCkJOTg727dsHOzs7HDlyBIMGDcKlS5fwxhtvgOd5lJaWIjw8HF9++SUsLCxgZmaGdevW4ZtvvsHUqVOr4qVU4uDBg1i+fDl4nseVK1cQEBCAlStXYseOHSgsLMTcuXMxa9YsfPXVVwCAyZMn4+7du0hISIC+vj5CQkJQUFAgfN+0UVJSArlcDnNzc2Eu17S0NCxatEjlGn5+fkhOTgbP87h9+zby8/Ph6+srlNHT00P//v3x008/Ydq0aUhNTYVcLlcpY2NjAxcXF/z000/w8/PTqn4A8OTJE7Rs2RJA1c9gcnIy+vfvDz09PeHafn5+CAsLw+3bt9G+fXu1a1TnYC1bthReU70Qg6OjI5RKJdzc3LBy5Up069ZNYz14ngdjDHK5HGKx6mxJ9fk90mjJ7O+//w6lUglra2uV49bW1sjPz9fqGpGRkXj69CnGjh1bY5nw8HCsWLFC7XhcXNxLn+svPj5e7RjPeETIItQS2eeVK8vBV5pBXtQTyifdEW6yAqusDQHGwJ77RcT90bdFynjU1mtWzunjx+NxQDOZXFpT3Ih2KHYNR7FrOIqdZhKJBDY2NigpKUFlZdWqimWVSvTecO4vuT4DkC+rgNvKBK3Kp4S+Dal+3dMtZmZmgjEGR0dHoUHoee3bt8fjx49x+/ZttG7dGjzPw9PTEzNnzgQATJo0CYmJiYiIiECvXr1w69YtWFlZwdPTE3p6ejA3N0fXrl0hk8mQnZ2NAwcO4Nq1a7C1tQUATJs2DT/88AO2b9+Of//73ygvL4dcLsfatWvh4uIi1GPEiBHYs2cPxowZAwA4efIkHj9+jEGDBkEmkyE8PBzvvPMO3n//fQBV+cbq1asxdOhQrF27Fnfv3kVsbCzi4+Px5ptvAgA2btyIXr16oby8XOOza/Kvf/0Ltra28PT0hEwmQ15eHpRKJVq0aKFyDTMzM9y/fx8ymQy//vorgKo5iJ8vY2FhgTt37gix0dfXh1gsViljaWmJ3Nxcret34cIFfPPNN4iJiQEAFBcX4969e3BwcFC5RnWO9Ouvv6ot8gEAn332GUpKSoT4AoC9vT0+//xzODs7o7i4GNu3b0e/fv1w5swZdOzYUe0alZWVKCsrw+nTp6FQKFTOlZaWavU8QBOYmuvFvwoZY1r9pbh//34sX74c//vf/2BlZVVjubCwMISGhgr7MpkM9vb28Pf3h6mpacMrXg9yuRzx8fHw8/NTWeFCyStx4OYByNLr/gEszxsDVtoBQeJYjC0rhEWBFGstW+KB5Nm30FqpxNKrxRBXmNRyJQ6i8kr4WFvDqGfPP/NYOldT3EjdKHYNR7FrOIpd7crLy3Hnzh20aNFC6EMoqVTU8SrdMTE1gZF+3WmAsbExAEAqlWp83zQwMABQ1VfS1NQUIpEI/fr1Uynbv39/bNq0Caamppg4cSK2b9+O7t27IyAgAIMHD8awYcMgkUhw8+ZNMMbQ84X3p4qKClhZWcHU1BSGhobQ19dHnz59wHEcGGMoLi7G5MmT0bdvX5SUlAgtuoMHD4aDgwOAqgFOv/zyC7799lvhutUtrg8fPsSdO3cgkUjg7e0ttBJ6eHjA3NwchoaGWuUMn376KQ4dOoSTJ08KuUlJSdVglhYtWqhcw8DAAGKxGKampkKMq2NYTSKRQCKRwNTUFFKpVCjzPJFIBAMDA5iamiIwMBBnz54FADg6OuLKlSsqZa9du4aJEydi6dKlGD58OIqLi2FiYgKxWAx9fX2Va1f31X2x3kBVDrZu3TocPnxYJUkdOHAgBg4cKOz7+/vDw8MDu3bt0jjorLy8HFKpFP3791frV6ttcg40YjLbqlUriMVitVbYgoICtdbaF8XExGDq1Kn45ptv4OvrW2tZAwMD4R/a8/T09F76L9vn75mQk4C1F9ZWzUygBTe9S9hiEAU7rqqTvW9pGQaUliHd0ACFYjFaK5XoXl6BkidS3Nfmgo8eN5s3m8b4Xr0qKHYNR7FrOIqdZkqlEhzHQSQSCcuHGhvo4frKgKqPbGXFMDE1qXFp0QvZjxAUnVrnfXa93xOe7WvufldN224GnTt3Bsdx+PnnnzXWLSsrCy1btoSVlZVwvernrFY9ql0kEsHR0RFZWVmIj49HQkICZs+ejcjISCQlJQEAxGIx0tLS1D52btGihRA7qVQqnK/+iLtXr17o2LEjDh48iJkzZ+LIkSOIjo4W6sHzPKZPn465c+eqPYODgwNu3bol3P/F53zxeTSJiIhAeHg4EhIS4O7uLhy3srKCWCxGQUGByjUKCwthbW0NkUgEOzs7AFU5UJs2bVTK2NjYCGUqKytRVFQkdBGoLuPl5QWRSISdO3eirKwMQNW/w+fvd/36dfj6+mLatGlYunSpEDeO42Bra4sHDx6olP/996oFlmxtbVWOx8TEYNq0afjmm2/g7+9fa0xEIhF69uyJX375RWP8RCIROI7T+DujPr9DGu1zZn19ffTo0UPt46j4+Hj06dOnxtft378fQUFB2LdvH4YMGaLraupEQk4CQhNDtU5kAWAxvocNVEeLigH0LK9A4NNS9CyvgBiAxFC7JeEkrVvXo8aEEEJ0geM4GOlLYKQvgVRfLHytaev3RmvYmhnW2ImMA2BrZoh+b7Su9TrVm7arL1laWsLPzw9bt24VEqVq+fn52Lt3L8aNG6dyvXPnVLtOnDt3Dl27dhX2pVIphg8fjs8++wyJiYlISUnBlStX0K1bNyiVShQUFKBTp04qm42NTZ11nTBhAvbu3YujR49CJBKp5Andu3fHtWvX1K7bqVMn6Ovrw8nJCQqFAhcvXhRek5WVhSdPntR5308//RSffPIJYmNj4eHhoXJOm3ynffv2sLGxUSlTWVmJpKQkoUyPHj2gp6enUiYvLw9Xr14VyrRp00Z4JkdHR6HctWvXMGDAAEyePBmrV69Wq3/v3r1x+vRpofsLUNUd087ODu3atROO1TcHY4whMzNT6DKiK43aaTI0NBT/+c9/8NVXX+HGjRuYP38+cnNzMWPGDABVXQQmTXo2ef/+/fsxadIkREZG4u2330Z+fj7y8/NRVKR5SdemqHrRg9r6yL6otYJH9/IKaNGfH1JLed0LfIlEkHZz1/r+hBBCGp9YxGHZMGcA6r/mq/eXDXPWavBXfW3ZsgUVFRUICAjA6dOncefOHcTGxsLPzw9t2rRRS5B++uknrF+/Hjdv3sTnn3+Ob775BvPmzQNQNRfpzp07cfXqVdy+fRtff/01pFIpHB0d0blzZ7z33nuYNGkSDh06hOzsbKSmpmLdunU4duxYnfV87733kJ6ejtWrV2P06NEqH10vXrwYKSkpmDVrFjIzM3Hr1i189913mDNnDgCgS5cuGDRoEKZNm4bz588jLS0N//znP4WP92uyfv16fPzxx/jqq6/Qrl07ITep7l4A1J3vcByHkJAQrFmzBocPH8bVq1cRFBQEIyMjTJgwAUBVH9upU6diwYIFOHHiBDIyMjBx4kS4urrW+il1dSLr5+eH0NBQoX6FhYVCmQkTJsDAwABBQUG4evUqDh8+jDVr1iA0NFT4I0WbHGzFihU4fvw4bt++jczMTEydOhWZmZnCc+pKoyaz48aNQ1RUFFauXAl3d3ecPn0ax44dE/6ayMvLU5mDbfv27VAoFJg1axZsbW2FrfofSHMgLHqgLQZ8+PAh9LT63cSh7KF+zYt7VeN5lGVkal8HQgghTcIgF1t8MbE7bMxU+xfamBnii4ndMchFNy1gb7zxBi5evIiOHTti3Lhx6NixIz744AMMGDAAKSkparMKLViwAGlpaejWrRs++eQTREZGIiAgAABgbm6OHTt2wMvLC2+99RZOnDiBo0ePCoOMoqOjMWnSJCxYsABdunTB8OHDcf78edjb22tVz549e+Ly5ct47733VM699dZbSEpKwq1bt9CvXz9069YNS5cuVWk1jI6Ohr29Pby9vTFq1Ch88MEHtY7LAaoWQ6isrMTo0aNVcpOIiAihTF35DgAsWrQIISEhCA4OhoeHB+7du4e4uDiYmDwbB7Nx40aMGDECY8eOhZeXF4yMjHD06FG1LhnP++abb1BYWIi9e/eq1K9Xr15CGTMzM8THx+Pu3bvw8PBAcHAwQkNDVcYcaZODPXnyBB988AGcnJyEuXZPnz4NT0/PWmP4Z3GMMd0vG9KEyGQymJmZoaio6KUOADt27BgCAwNxPPc4ws6GafU6Xm6GgEILbKhI0nie8UBpoT4U5WJIDJUw6tgKMpPxuL9xf53XtouIgNnQpt1N4/m4Uf+7+qHYNRzFruEodrUrLy9Hdna2sArU83ieh0wmEwZQ1UXJM1zIfoSC4nJYmRjCs71203G9iuobO1KlKcSttn8T9cnXGn02g9fJiTsnsD51vVZl2z1wxZdl52DLrmg8L7tjiAfpZlCUPftrTHLdGi3+pl1dqM8sIYQ0X2IRh94d1adLIuR1RMnsS3Kt8hoOnDlQZ19ZxgADhRSHS39ATR8ayO4Y4t5PLdWOKx48wJP9dbTKchwk1tYw8uihZc0JIYQQQpouao9/CZS8Ej+U/aBVIssB+KREBglqWL+LBx6km/2xV8NHStVzz744UvWPfesPw8DV0r+GEEIIIaS5oGT2JcgozICM1T35rx5ngtWdpiDwSV6NZUoL9f/oWlBL3yiFAq3mzIHkhfl6JdbWaLMpCqZ1zAtHCCGEENJcUDcDHVPyDOdyf9Oq7Mo+izEsV3MfWaCqVfbpA32trqXv6IhOJxJQejENisJCSFq3hpFHD2qRJYQQQsgrhZJZHYq9mocVR6+jQF4II8e6y9v8GAY8uqfxnKYBX7WRtG4NTiyGcS/dTodBCCGEENKYKJnVkdireZi5J/2PXrLtwSuMwIlL1bqxVjNXKtG9lkRW04AvjWiAFyGEEEJeI9RnVgeUPMOKo9e1X+Orlql+tRrwVY0GeBFCCCHkNUPJrA5cyH6EvKJyYV9slA2RpOZWWXAcnojFSDc0UDul1YCvP9AAL0IIIYS8bqibgQ4UFJer7HOSYq1eV6ihNVVRrl0Lq+WMGWg9Zza1yBJCyOuAVwI5yUDJA6CFNeDYBxDR73/yeqKWWR2wMlFdko0pTGooqaq1Uql2TGKofkwT4969KZElhJDXwfXvgCgXYPdQ4P+mVv0/yqXqeDN07do1vPPOO2jXrh04jkNUVJRamfDwcPTs2RMmJiawsrLCiBEjkJWVpVbuxo0bGD58OMzMzGBiYoK3334bubm5L+EpSGOiZFYHPNtbwNbMUOgYoCx1BGNczV1jGYOIMbiVV6idklpWAnX1vhWJIO3m/idqTAghpFm4/h1wcBIgu696XJZXdbwZJrSlpaXo0KED1q5dCxsbG41lkpKSMGvWLJw7dw7x8fFQKBTw9/fH06dPhTK//vor+vbti65duyIxMRGXLl3C0qVLYWhoqPGa5NVByawOiEUclg1zfrZvlAOOY7X2meU5Dpc09Jkte6iPOvvL8jzKMjIbXF9CCCGNhDGg8mnVJi999rWmrVwG/LgImhs4/jgWu7iqXG3Xqd5qGXysybfffgtXV1dIpVJYWlrC19cXT58+RWJiIjw9PWFsbAxzc3N4eXkhJycHALB8+XK4u7tj+/btsLe3h5GREcaMGYMnT54I1+3Zsyc+/fRTvPvuuzAwUH8fBIDY2FgEBQXhzTffhJubG6Kjo5Gbm4u0tDShzMcff4zAwECsX78e3bp1Q4cOHTBkyBBYWVnV6zlJ80N9ZnVkkIstvpjYHQu/vYyyBvaZrc8iCYrCwnrXkRBCSCOTlwJr7CACYP6nL8aqWmzX2mtX/MP7gL6xVkXz8vIwfvx4rF+/HiNHjkRxcTHOnDkDxhhGjBiBadOmYf/+/aisrMSFCxfAPdd688svv+DgwYM4evQoZDIZpk6dilmzZmHv3r0NeUgAQFFREQDAwsICAMDzPI4dO4ZFixYhICAAGRkZaN++PcLCwjBixIgG34c0D5TM6tAgF1tk//4UEafV+/Vo8nyf2YYskkAIIYToQl5eHhQKBUaNGgVHx6pVgFxdXfHo0SMUFRVh6NCh6NixIwDAyclJ5bXl5eXYvXs32rZtCwDYvHkzhgwZgsjIyBq7FdSGMYbQ0FD07dsXLi4u4HkehYWFKCkpwdq1a7Fq1SqsW7cOsbGxGDVqFE6dOgVvb+8/GQHSlFEyq2MijoOytD1EvBF4UanmQozBnOfR/Y8+s7RIAiGEvCb0jIAP74PneciKi2FqYgKRqIYegDnJwN7RdV/zvW+rZjfQ5t5acnNzw8CBA+Hq6oqAgAD4+/tj9OjRsLCwQFBQEAICAuDn5wdfX1+MHTsWtra2wmsdHByERBYAevfuDZ7nkZWV1aBkdvbs2bh8+TLOnj0rHON5HgDw97//HfPnzwcAuLu7Izk5Gdu2baNk9hVHfWZfFi37JtEiCYQQ8hrhuKqP+vWNq5LL6q81bR3/Bpjaoeb3Bg4wbVNVrrbrVG81DuRQJxaLER8fjx9//BHOzs7YvHkzunTpguzsbERHRyMlJQV9+vRBTEwMOnfujHPnztXyyJzK/+tjzpw5+O6773Dq1CmVBNnS0hISiQTOzs4q5Z2cnGg2g9cAJbM6xjMl9Fr+BF5cVnOh5xZNoEUSCCGEaCQSA4PW/bHz4nvEH/uD1upsvlmO4+Dl5YUVK1YgIyMD+vr6OHz4MACgW7duCAsLQ3JyMlxcXLBv3z7hdbm5ubh//9nsCykpKRCJROjcubPW92aMYfbs2Th06BBOnjyJ9u3bq5zX19dHz5491abrunnzptAtgry6qJuBDiXkJGD33VUwtHmoVflCsRiKcu1acGmRBEIIeQ05DwfG/rdq1oLnp+cytatKZJ2H6+S258+fx4kTJ+Dv7w8rKyucP38ehYWFkEqlCAsLw/Dhw2FnZ4esrCzcvHkTkyZNEl5raGiIyZMnIyIiAjKZDHPnzsXYsWOFLgaVlZW4fv268PW9e/eQmZmJFi1aoFOnTgCAWbNmYd++ffjf//4HExMT5OfnAwDMzMyEGRAWLFiA8ePHo3///hgwYABiY2Nx9OhRJCYm6iQmpOmgZFZHEnISMD9xftVsKVp+ktJaqYTEULtklhZJIISQ15TzcKDrkJe6ApipqSlOnz6NqKgoyGQyODo6IjIyEqNGjcKMGTOwe/duPHz4ELa2tpg9ezamT58uvLZTp04YNWoUAgMD8ejRIwQGBmLr1q3C+fv376Nbt27CfkREBCIiIuDt7S0kol988QUAwMfHR6Ve0dHRQuI8cuRIbNu2DeHh4Zg7dy66dOmC//u//0Pfvn11FBXSVFAyqwNKXonlP60GY9p1SeIYg7VSie7lFeAsgWdzCNbwYlokgRBCXm8iMdC+30u7nZOTE2JjYzWeq+5qUJuZM2di5syZGs+1a9cOrI5xJbWdrx78BQBTpkzBlClT6qwPebVQn1kdSM1PQ5H8d60TWQBY/PAxxHh+kYRaXkyLJBBCCCGEAKCWWZ04n/ub1mWtlUosfvgYvqVVA8QU5dp9TESLJBBCCCGEUMusTvCKFlqVW/TwEWLv3BcSWQCQGCprecUztEgCIYSQpm758uXIzMxs7GqQVxwlszrgaeMBXmFU89SyjMFcqcQEWQlebIc1al0JkUHtfYfE5ua0SAIhhBBCCCiZ1Yme7Swgqv9c0M/UMaGBdvMdEEIIIYS8+iiZ1YFLv2cA4tKaB4A9t0jCi0oL9cFX1p4J80+eoPRi2l9QU0IIIYSQ5o2SWR0oLNVucFbhC/PEMh54+kBfq9fSADBCCCGEEJrNQCdaG2k3OKu18tlgL9kdQzxIN/tjKdu60QAwQgghhBBqmdWJ7lbdYWZgVnOBPwaAdS+vAFCVyN77qSUUZVp8OzgOEhsbGgBGCCGEEAJqmdUdLUdpMR54kF6d+NYxauyPTrjWH4bRUraEEPIaU/JKpBeko7C0EK2NWqO7VXeIdbicLSFNGbXM6kB6QTqKKotqLvDcALDSQv0/uhbUPf2BxNoabTZFwdTf/6+rLCGEkGYlIScBAf8XgCnHp2DxmcWYcnwKAv4vAAk5CY1dtQbZsWMH+vXrh5YtW6Jly5bw9fXFhQsXaiwfHh4OjuMQEhKicvz9998Hx3Eq29tvv63j2pOmgJJZHajPADBtV/yynDEDnU4kUCJLCCGvsYScBIQmhuJB6QOV4wWlBQhNDG2WCW1iYiLGjx+PU6dOISUlBQ4ODvD398e9e/fUyqampuLLL7/EW2+9pfFagwYNQl5enrAdO3ZM19UnTQAlszpQnwFg2q74Zdy7N3UtIISQVwxjDKXyUpTKS1GmKBO+1rQVVxQj/EI4mIZ+bOyP/9ZeWIviiuJar1O9sRpX9tHs22+/haurK6RSKSwtLeHr64unT58iMTERnp6eMDY2hrm5Oby8vJCTkwOgagUwd3d3bN++Hfb29jAyMsKYMWPw5MkT4bp79+5FcHAw3N3d0bVrV+zYsQM8z+PEiRMq9y8pKcF7772HHTt2oGXLlhrraGBgABsbG2GzsLCo1zOS5on6zOqAWys3cBCBZ7zmuWYZgwiAW3kFJJbAsw62NXQ1EIkg7eaui6oSQghpRGWKMvTa1+svu96D0gfoc6CPVmXPTzgPIz0jrcrm5eVh/PjxWL9+PUaOHIni4mKcOXMGjDGMGDEC06ZNw/79+1FZWYkLFy6Ae+7N75dffsHBgwdx9OhRyGQyTJ06FbNmzcLevXs13qu0tBRyuVwtEZ01axaGDBkCX19frFq1SuNrExMTYWVlBXNzc3h7e2P16tWwsrLS6hlJ80XJrA6kF2SCoYZEFgA4DjyAS4YGcM5hqLO/LM+jLCMTxr08/+KaEkIIIXXLy8uDQqHAqFGj4OjoCABwdXXFo0ePUFRUhKFDh6Jjx44AACcnJ5XXlpeXY/fu3Wjbti0AYPPmzRgyZAgiIyNhY2Ojdq8lS5agTZs28PX1FY4dOHAA6enpSE1NrbGOgwYNwtixY+Ho6Ijs7GwsXboUf/vb35CWlgYDA/VFisirg5JZHTif+5tW5Qo5MZ4+0K6nBy2SQAghrx6pRIrzE86D53kUFxfDxMQEIpHm94W0B2kIPhFc5zW3DtyKHtZ1T98olUi1rqebmxsGDhwIV1dXBAQEwN/fH6NHj4aFhQWCgoIQEBAAPz8/+Pr6YuzYsbC1tRVe6+DgICSyANC7d2/wPI+srCy1ZHb9+vXYv38/EhMTYWhoCAC4c+cO5s2bh7i4OOGYJuPGjRNi5+LiAg8PDzg6OuKHH37AqFGjtH5W0vxQn1kd4BUt6izjmcXDMcYED6+banVNWiSBEEJePRzHwUjPCEZ6RpBKpMLXmrY+dn1gbWQNroZP8zhwsDGyQR+7PrVep3rjavz4UJ1YLEZ8fDx+/PFHODs7Y/PmzejSpQuys7MRHR2NlJQU9OnTBzExMejcuTPOnTtX6zM///9qERERWLNmDeLi4lQGeKWlpaGgoAA9evSARCKBRCJBUlISPvvsM0gkEiiVmsee2NrawtHREbdu3dL6OUnzRMmsDnjaeIBXGKGmvvWeP/NYcIiHqJQWSSCEEKIdsUiMJZ5LAEAtoa3eX+y5WGfzzXIcBy8vL6xYsQIZGRnQ19fH4cOHAQDdunVDWFgYkpOT4eLign379gmvy83Nxf3794X9lJQUiEQidO7cWTj26aef4pNPPkFsbCw8PDxU7jtw4EBcuXIFmZmZwubh4YH33nsPmZmZENcwOPrhw4e4c+eOSisxeTVRNwMd6NnOAqLTmtdN4HiGoAS+eq/2C9EiCYQQQp7j6+iLDT4bsPbCWpXpuayNrLHYczF8HX1reXXDnT9/HidOnIC/vz+srKxw/vx5FBYWQiqVIiwsDMOHD4ednR2ysrJw8+ZNTJo0SXitoaEhJk+ejIiICMhkMsydOxdjx44VuhisX78eS5cuxb59+9CuXTvk5+cDAFq0aIEWLVrAxMQELi4uKvUxNjaGpaUlXFxcwPM8SkpK8Mknn2D06NGwtbXFb7/9hg8//BCtWrXCyJEjdRIT0nRQMqsDl37PAMSlGlNV51yGVsXaXUdibQ3rD8NobllCCCECX0dfDLAf8FJXADM1NcXp06cRFRUFmUwGR0dHREZGYtSoUZgxYwZ2796Nhw8fwtbWFrNnz8b06dOF13bq1AmjRo1CYGAgHj16hMDAQGzdulU4v3XrVlRWVmL06NEq91y2bBmWL1+uVf3EYjGuXLmCr7/+Gk+ePIGtrS0GDBiAmJgYmJiY/CUxIE0XJbM6UNOiCZ5ZPD44xms89yLLGTPQes5sapElhBCiRiwSo6dNz5d2PycnJ8TGxmo8V93VoDYzZ87EzJkzNZ777bff6l2fxMRElX2pVIrY2NgaB8+RVxslszqgadEEz6yqfrLaokUSCCGEEELqRn/C6ICbhQtEjKF6BBjHMwTFVyWydY4dpQFfhBBCCCFao2RWBy5d2wee44QBXE53qvrJajsJCg34IoQQ8ipYvnw5MjMzG7sa5BVHyawOFMpyha85nsHlN+3WvxaZm6PNpiga8EUIIYQQoiXqM6sDrU0dAFT1kw2K57WevaDNxo1o0fttHdaMEEIIIeTVQi2zOtDd9R/wuaHEgkM8LLVJZP/oJ2vs+fJGphJCCCGEvAoomdUBhVyBd0/8MfirrsK0MAIhhBBCSINRMqsDCdErYKHlgC+JtTX1kyWEEEIIaSDqM6sDpfm5dRcCkO3TEYM//x+1yBJCCCGENBAlszpgZOMAILPOcuytNymRJYQQUm9MqUTpxTQoCgshad0aRh496P2EvLaom4EO+L6/DCWGQE0TcjEAxdKqcoQQQkh9yOLi8MtAX+ROnoz7//oXcidPxi8DfSGLi2vsqjXIoUOH4OHhAXNzcxgbG8Pd3R1ff/21Spl27dqB4zi1bdasWUIZxhiWL18OOzs7SKVS+Pj44Nq1ay/7cUgjoGRWB8QirsZEVsCqyhFCCCHaksXF4d68ECjy81WOKx48wL15Ic0yobWwsMBHH32ElJQUXL58Ge+//z7ef/99HD9+XCiTmpqKvLw8YYuPjwcAjBkzRijz6aefYsOGDdiyZQtSU1NhY2MDPz8/FBdrOT8mabYomdWBy9+uhUl5zQPAOAAm5VXlCCGEvL4YY+BLS6u2srJnX2vYlMXFeLBqtbBU+gsXAsDwYPUaKIuLa71O9cY0XacW3377LVxdXSGVSmFpaQlfX188ffoUiYmJ8PT0hLGxMczNzeHl5YWcnBwAVSuAubu7Y/v27bC3t4eRkRHGjBmDJ0+eCNf18fHByJEj4eTkhI4dO2LevHl46623cPbsWaFM69atYWNjI2zff/89OnbsCG9vbyGOmzZtwkcffYRRo0bBxcUFu3fvRmlpKfbt21fv7wtpXqjPrA4U38+FVMtyhBBCXl+srAxZ3XsI+w/+1MWqWmhv9vTUqniX9DRwRkZalc3Ly8P48eOxfv16jBw5EsXFxThz5gwYYxgxYgSmTZuG/fv3o7KyEhcuXADHPWvO+eWXX3Dw4EEcPXoUMpkMU6dOxaxZs7B37171R2AMJ0+eRFZWFtatW6exLpWVldizZw9CQ0PBcRwYY8jJyUF+fj78n5sZyMDAAN7e3khOTsb06dO1ek7SPFEyqwMmdg4AzmlZjhBCCGna8vLyoFAoMGrUKDg6OgIAXF1d8ejRIxQVFWHo0KHo2LEjAMDJyUnlteXl5di9ezfatm0LANi8eTOGDBmCyMhI2NjYAACKiorQpk0bVFRUQCwWY+vWrfDz89NYlyNHjuDJkycICgoSjj14UPVngLW1tUpZa2troZWYvLoomdUB52Hz8MuqgxAxzV0NGACeqypHCCHk9cVJpeiSngae5yErLoapiQlEIs09AEsvXsSdD+puYbT/cjuMPDy0ure23NzcMHDgQLi6uiIgIAD+/v4YPXo0LCwsEBQUhICAAPj5+cHX1xdjx46Fra2t8FoHBwchkQWA3r17g+d5ZGVlCcmsiYkJMjMzUVJSghMnTiA0NBQdOnSAj4+PWl127tyJwYMHw87OTv2ZONV3XcaY2jHy6qE+szpw/egmiGtIZIGq42JWVY4QQsjri+M4iIyMqjap9NnXGjZjLy9IbGyElSM1XKxqaXQvr1qvU73VJ8kTi8WIj4/Hjz/+CGdnZ2zevBldunRBdnY2oqOjkZKSgj59+iAmJgadO3fGuXM1fzpZfd/n7y8SidCpUye4u7tjwYIFGD16NMLDw9Vem5OTg4SEBPzzn/9UOV7dIpv/wsC4goICtdZa8uqhZFYHtO0LS31mCSGEaIsTi2H9YdgfOy8koi9haXSO4+Dl5YUVK1YgIyMD+vr6OHz4MACgW7duCAsLQ3JyMlxcXFQGXeXm5uL+/fvCfkpKCkQiETp37lzjvRhjqKioUDseHR0NKysrDBkyROW4o6MjbGxshFkOgKq+tUlJSejTp0+Dn5k0D42ezG7duhXt27eHoaEhevTogTNnztRaPikpCT169IChoSE6dOiAbdu2vaSaak/bvrDUZ5YQQkh9mPr7o82mKEheaG3U9dLo58+fx5o1a3Dx4kXk5ubi0KFDKCwshFQqRVhYGFJSUpCTk4O4uDjcvHlTpd+soaEhJk+ejEuXLuHMmTOYO3cuxo4dK3QxCA8PR3x8PG7fvo2ff/4ZGzZswH//+19MnDhRpQ48zyM6OhqTJ0+GRKLaS5LjOMybNw9r1qzB4cOHcfXqVQQFBcHIyAgTJkzQSUxI09GofWZjYmIQEhKCrVu3wsvLC9u3b8fgwYNx/fp1ODioJ3rZ2dkIDAzEtGnTsGfPHvz0008IDg5G69at8c477zTCE2j21ugluBB1EGbFmv9a4AEUmQCeo5e87KoRQghp5kz9/WEycOBLXQHM1NQUp0+fRlRUFGQyGRwdHREZGYlRo0ZhxowZ2L17Nx4+fAhbW1vMnj1bZfaATp06YdSoUQgMDMSjR48QGBiIrVu3CuefPn2K4OBg3L17F1KpFF27dsWePXswbtw4lTokJCQgNzcXU6ZM0VjHhQsXory8HMHBwXj8+DF69eqFuLg4mJiY6CYopMlo1GR2w4YNmDp1qtD3JSoqCsePH8cXX3yhsa/Mtm3b4ODggKioKABVIyYvXryIiIiIJpXMSgyk4Cd6g/siCTxUE1oeVX1m+YnekBho3/meEEIIqcaJxTDupd0UXH8FJycnxMbGajxX3dWgNjNnzsTMmTM1nlu1ahVWrVpV5zX8/f1rnRuX4zgsX74cy5cvr/Na5NXSaMlsZWUl0tLSsGSJauukv78/kpOTNb4mJSVFZQ45AAgICMDOnTshl8uhp6en9pqKigqVfjcymQwAIJfLIZfL/+xj1KhX8GaksNmQ7D2Nls8tPlJkAije64/ewZt1ev9XQXV8KE71R7FrOIpdw1HsaieXy6sWSeB58Dyvcq46Sas+/6qofi5dPtOrGjtdawpx43kejDHI5XKIX/hkoT6/Rxotmf3999+hVCo1zgn34mjEavn5+RrLKxQK/P777ypTgVQLDw/HihUr1I7HxcXBSMvJohusfSD4Jb64f+MoWNHv4MxaQew0DCKJPo4dO6bbe79Cnu/QT+qHYtdwFLuGo9hpJpFIYGNjg5KSElRWVmos86otvVpRUQGlUik0JOnSqxa7l6Ux41ZZWYmysjKcPn0aCoVC5VxpaanW12n0eWbrOyecpvKajlcLCwtDaGiosC+TyWBvbw9/f3+Ympo2tNr1Ih88BPHx8fDz89PYekw0k8vlFLcGotg1HMWu4Sh2tSsvL8edO3fQokULGBoaqpxjjKG4uBgmJiav1Lyoa9aswZo1a3R6j1c1drrWFOJWXl4OqVSK/v37q/2bqM8fQI2WzLZq1Qpisbhec8LZ2NhoLC+RSGBpaanxNQYGBjAwMFA7rqen99J/2TbGPV8FFLeGo9g1HMWu4Sh2mimVyqp5ZUUitYURqj/mrT5PtEexa5imEDeRSASO4zT+zqjP75BG+67r6+ujR48eah9HxcfH1zgnXO/evdXKx8XFwcPDg35xEkIIaRZqG8REyOvkr/q30Kh/woSGhuI///kPvvrqK9y4cQPz589Hbm4uZsyYAaCqi8CkSZOE8jNmzEBOTg5CQ0Nx48YNfPXVV9i5cyf+9a9/NdYjEEIIIVqpbnSpT19AQl5l1X3HXxz8VV+N2md23LhxePjwIVauXIm8vDy4uLjg2LFjcHR0BADk5eUhN/fZKlnt27fHsWPHMH/+fHz++eews7PDZ5991qSm5SKEEEI0EYvFMDc3R0FBAQDA6LklZXmeR2VlJcrLy+mj8nqi2DVMY8eN53kUFhbCyMhIbRGM+mr0AWDBwcEIDg7WeG7Xrl1qx7y9vZGenq7jWhFCCCF/vepVr6oT2mqMMZSVlUEqldIgpnqi2DVMU4ibSCSCg4PDn75/oyezhBBCyOuC4zjY2trCyspKZR5NuVyO06dPo3///jQGpJ4odg3TFOKmr6//l7QKUzJLCCGEvGRisViln6BYLIZCoYChoSElZPVEsWuYVylu1LmEEEIIIYQ0W5TMEkIIIYSQZouSWUIIIYQQ0my9dn1mqyfofRnrRFeTy+UoLS2FTCZr9v1SXiaKW8NR7BqOYtdwFLuGo9g1HMWuYZp63KrzNG0WVnjtktni4mIAgL29fSPXhBBCCCGE1Ka4uBhmZma1luHYa7auHs/zuH//PkxMTF7avGoymQz29va4c+cOTE1NX8o9XwUUt4aj2DUcxa7hKHYNR7FrOIpdwzT1uDHGUFxcDDs7uzqn73rtWmZFIhHatm3bKPc2NTVtkj8wTR3FreEodg1HsWs4il3DUewajmLXME05bnW1yFajAWCEEEIIIaTZomSWEEIIIYQ0W5TMvgQGBgZYtmwZDAwMGrsqzQrFreEodg1HsWs4il3DUewajmLXMK9S3F67AWCEEEIIIeTVQS2zhBBCCCGk2aJklhBCCCGENFuUzBJCCCGEkGaLkllCCCGEENJsUTKrY1u3bkX79u1haGiIHj164MyZM41dpSYnPDwcPXv2hImJCaysrDBixAhkZWWplGGMYfny5bCzs4NUKoWPjw+uXbvWSDVumsLDw8FxHEJCQoRjFLea3bt3DxMnToSlpSWMjIzg7u6OtLQ04TzFTjOFQoGPP/4Y7du3h1QqRYcOHbBy5UrwPC+UodhVOX36NIYNGwY7OztwHIcjR46onNcmThUVFZgzZw5atWoFY2NjDB8+HHfv3n2JT9E4aoudXC7H4sWL4erqCmNjY9jZ2WHSpEm4f/++yjUodpp/7p43ffp0cByHqKgolePNLXaUzOpQTEwMQkJC8NFHHyEjIwP9+vXD4MGDkZub29hVa1KSkpIwa9YsnDt3DvHx8VAoFPD398fTp0+FMuvXr8eGDRuwZcsWpKamwsbGBn5+figuLm7Emjcdqamp+PLLL/HWW2+pHKe4afb48WN4eXlBT08PP/74I65fv47IyEiYm5sLZSh2mq1btw7btm3Dli1bcOPGDaxfvx6ffvopNm/eLJSh2FV5+vQp3NzcsGXLFo3ntYlTSEgIDh8+jAMHDuDs2bMoKSnB0KFDoVQqX9ZjNIraYldaWor09HQsXboU6enpOHToEG7evInhw4erlKPYaf65q3bkyBGcP38ednZ2aueaXewY0RlPT082Y8YMlWNdu3ZlS5YsaaQaNQ8FBQUMAEtKSmKMMcbzPLOxsWFr164VypSXlzMzMzO2bdu2xqpmk1FcXMzeeOMNFh8fz7y9vdm8efMYYxS32ixevJj17du3xvMUu5oNGTKETZkyReXYqFGj2MSJExljFLuaAGCHDx8W9rWJ05MnT5ienh47cOCAUObevXtMJBKx2NjYl1b3xvZi7DS5cOECA8BycnIYYxS7ajXF7u7du6xNmzbs6tWrzNHRkW3cuFE41xxjRy2zOlJZWYm0tDT4+/urHPf390dycnIj1ap5KCoqAgBYWFgAALKzs5Gfn68SSwMDA3h7e1MsAcyaNQtDhgyBr6+vynGKW82+++47eHh4YMyYMbCyskK3bt2wY8cO4TzFrmZ9+/bFiRMncPPmTQDApUuXcPbsWQQGBgKg2GlLmzilpaVBLperlLGzs4OLiwvF8gVFRUXgOE74dIViVzOe5/GPf/wDCxcuxJtvvql2vjnGTtLYFXhV/f7771AqlbC2tlY5bm1tjfz8/EaqVdPHGENoaCj69u0LFxcXABDipSmWOTk5L72OTcmBAweQnp6O1NRUtXMUt5rdvn0bX3zxBUJDQ/Hhhx/iwoULmDt3LgwMDDBp0iSKXS0WL16MoqIidO3aFWKxGEqlEqtXr8b48eMB0M+dtrSJU35+PvT19dGyZUu1MvQ+8kx5eTmWLFmCCRMmwNTUFADFrjbr1q2DRCLB3LlzNZ5vjrGjZFbHOI5T2WeMqR0jz8yePRuXL1/G2bNn1c5RLFXduXMH8+bNQ1xcHAwNDWssR3FTx/M8PDw8sGbNGgBAt27dcO3aNXzxxReYNGmSUI5ipy4mJgZ79uzBvn378OabbyIzMxMhISGws7PD5MmThXIUO+00JE4Uy2fkcjneffdd8DyPrVu31ln+dY9dWloaNm3ahPT09HrHoSnHjroZ6EirVq0gFovV/oopKChQ+0ucVJkzZw6+++47nDp1Cm3bthWO29jYAADF8gVpaWkoKChAjx49IJFIIJFIkJSUhM8++wwSiUSIDcVNna2tLZydnVWOOTk5CYMz6WeuZgsXLsSSJUvw7rvvwtXVFf/4xz8wf/58hIeHA6DYaUubONnY2KCyshKPHz+usczrTC6XY+zYscjOzkZ8fLzQKgtQ7Gpy5swZFBQUwMHBQXjfyMnJwYIFC9CuXTsAzTN2lMzqiL6+Pnr06IH4+HiV4/Hx8ejTp08j1appYoxh9uzZOHToEE6ePIn27durnG/fvj1sbGxUYllZWYmkpKTXOpYDBw7ElStXkJmZKWweHh547733kJmZiQ4dOlDcauDl5aU2/dvNmzfh6OgIgH7malNaWgqRSPWtQywWC1NzUey0o02cevToAT09PZUyeXl5uHr16msfy+pE9tatW0hISIClpaXKeYqdZv/4xz9w+fJllfcNOzs7LFy4EMePHwfQTGPXSAPPXgsHDhxgenp6bOfOnez69essJCSEGRsbs99++62xq9akzJw5k5mZmbHExESWl5cnbKWlpUKZtWvXMjMzM3bo0CF25coVNn78eGZra8tkMlkj1rzpeX42A8YobjW5cOECk0gkbPXq1ezWrVts7969zMjIiO3Zs0coQ7HTbPLkyaxNmzbs+++/Z9nZ2ezQoUOsVatWbNGiRUIZil2V4uJilpGRwTIyMhgAtmHDBpaRkSGMuNcmTjNmzGBt27ZlCQkJLD09nf3tb39jbm5uTKFQNNZjvRS1xU4ul7Phw4eztm3bsszMTJX3jYqKCuEaFDvNP3cvenE2A8aaX+womdWxzz//nDk6OjJ9fX3WvXt3Ybop8gwAjVt0dLRQhud5tmzZMmZjY8MMDAxY//792ZUrVxqv0k3Ui8ksxa1mR48eZS4uLszAwIB17dqVffnllyrnKXaayWQyNm/ePObg4MAMDQ1Zhw4d2EcffaSSRFDsqpw6dUrj77bJkyczxrSLU1lZGZs9ezazsLBgUqmUDR06lOXm5jbC07xctcUuOzu7xveNU6dOCdeg2Gn+uXuRpmS2ucWOY4yxl9ECTAghhBBCyF+N+swSQgghhJBmi5JZQgghhBDSbFEySwghhBBCmi1KZgkhhBBCSLNFySwhhBBCCGm2KJklhBBCCCHNFiWzhBBCCCGk2aJklhBCCCGENFuUzBJCiA7s2rUL5ubmNZ7/7bffwHEcMjMzX1qdAODLL7+Evb09RCIRoqKisHz5cri7u7/UOryorlgRQkhtKJklhDQrycnJEIvFGDRoUGNXpdmRyWSYPXs2Fi9ejHv37uGDDz5o7CoRQsifRsksIaRZ+eqrrzBnzhycPXsWubm5jV2dZiU3NxdyuRxDhgyBra0tjIyMGrtKhBDyp1EySwhpNp4+fYqDBw9i5syZGDp0KHbt2qVyPjExERzH4cSJE/Dw8ICRkRH69OmDrKwsoUz1x+pff/012rVrBzMzM7z77rsoLi4WyrRr1w5RUVEq13Z3d8fy5cuF/Q0bNsDV1RXGxsawt7dHcHAwSkpK/tTzJSUlwdPTEwYGBrC1tcWSJUugUCgAAEePHoW5uTl4ngcAZGZmguM4LFy4UHj99OnTMX78eI3X3rVrF1xdXQEAHTp0AMdx+O2339TK8TyPlStXom3btjAwMIC7uztiY2OF8++88w7mzJkj7IeEhIDjOFy7dg0AoFAoYGJiguPHj9f4nLt27YKDgwOMjIwwcuRIPHz4UOX8r7/+ir///e+wtrZGixYt0LNnTyQkJAjnV65cKTzL83r06IF///vfAKp+Fjw9PWFsbAxzc3N4eXkhJyenxjoRQpovSmYJIc1GTEwMunTpgi5dumDixImIjo4GY0yt3EcffYTIyEhcvHgREokEU6ZMUTn/66+/4siRI/j+++/x/fffIykpCWvXrq1XXUQiET777DNcvXoVu3fvxsmTJ7Fo0aIGP9u9e/cQGBiInj174tKlS/jiiy+wc+dOrFq1CgDQv39/FBcXIyMjA0BV4tuqVSskJSUJ10hMTIS3t7fG648bN05ICC9cuIC8vDzY29urldu0aRMiIyMRERGBy5cvIyAgAMOHD8etW7cAAD4+PkhMTBTKv1iP1NRUlJeXw8vLS2M9zp8/jylTpiA4OBiZmZkYMGCA8IzVSkpKEBgYiISEBGRkZCAgIADDhg0TWuKnTJmC69evIzU1VXjN5cuXkZGRgaCgICgUCowYMQLe3t64fPkyUlJS8MEHH4DjuJq/AYSQ5osRQkgz0adPHxYVFcUYY0wul7NWrVqx+Ph44fypU6cYAJaQkCAc++GHHxgAVlZWxhhjbNmyZczIyIjJZDKhzMKFC1mvXr2EfUdHR7Zx40aVe7u5ubFly5bVWLeDBw8yS0tLYT86OpqZmZnVWD47O5sBYBkZGYwxxj788EPWpUsXxvO8UObzzz9nLVq0YEqlkjHGWPfu3VlERARjjLERI0aw1atXM319fSaTyVheXh4DwG7cuFHjPTMyMhgAlp2dLRxbtmwZc3NzE/bt7OzY6tWrVV7Xs2dPFhwczBhj7PLly4zjOFZYWMgePXrE9PT02KpVq9iYMWMYY4ytWbNGJZYvGj9+PBs0aJDKsXHjxtUaK8YYc3Z2Zps3bxb2Bw8ezGbOnCnsh4SEMB8fH8YYYw8fPmQAWGJiYq3XJIS8GqhllhDSLGRlZeHChQt49913AQASiQTjxo3DV199pVb2rbfeEr62tbUFABQUFAjH2rVrBxMTE5Uyz5/XxqlTp+Dn54c2bdrAxMQEkyZNwsOHD/H06dN6XafajRs30Lt3b5XWQy8vL5SUlODu3bsAnrWKMsZw5swZ/P3vf4eLiwvOnj2LU6dOwdraGl27dgUAtGjRQthmzJihVR1kMhnu37+v1qrq5eWFGzduAABcXFxgaWmJpKQknDlzBm5ubhg+fLjQMltb6/Dzz/m8F/efPn2KRYsWwdnZGebm5mjRogV+/vlnlT7S06ZNw/79+1FeXg65XI69e/cKLfAWFhYICgoSWnQ3bdqEvLw8rWJACGl+JI1dAUII0cbOnTuhUCjQpk0b4RhjDHp6enj8+DFatmwpHNfT0xO+rk4Oq/uavni+uszz50UikVr3BblcLnydk5ODwMBAzJgxA5988gksLCxw9uxZTJ06VaVcfTDG1D4Gr65D9XEfHx/s3LkTly5dgkgkgrOzM7y9vZGUlITHjx+rJJHPT/llampar7poqkf1MY7j0L9/fyQmJkJfXx8+Pj5wcXGBUqnElStXkJycjJCQkFqfsy4LFy7E8ePHERERgU6dOkEqlWL06NGorKwUygwbNgwGBgY4fPgwDAwMUFFRgXfeeUc4Hx0djblz5yI2NhYxMTH4+OOPER8fj7fffrtesSCENH3UMksIafIUCgX++9//IjIyEpmZmcJ26dIlODo6Yu/evX/p/Vq3bq3SkieTyZCdnS3sX7x4EQqFApGRkXj77bfRuXNn3L9//0/d09nZGcnJySrJXnJyMkxMTIQEvrrfbFRUFLy9vcFxHLy9vZGYmKjWItqpUydhs7Ky0qoOpqamsLOzw9mzZ1WOJycnw8nJSdivbiFOTEyEj48POI5Dv379EBERgbKyshr7y1Y/57lz51SOvbh/5swZBAUFYeTIkXB1dYWNjY3aYDWJRILJkycjOjoa0dHRePfdd9VmZ+jWrRvCwsKQnJwMFxcX7Nu3T6s4EEKaF0pmCSFN3vfff4/Hjx9j6tSpcHFxUdlGjx6NnTt3/qX3+9vf/oavv/4aZ86cwdWrVzF58mSIxWLhfMeOHaFQKLB582bcvn0bX3/9NbZt2/an7hkcHIw7d+5gzpw5+Pnnn/G///0Py5YtQ2hoKESiql/VZmZmcHd3x549e+Dj4wOgKsFNT0/HzZs3hWN/xsKFC7Fu3TrExMQgKysLS5YsQWZmJubNmyeU8fHxwbVr13DlyhX069dPOLZ3715079691pbg6tbS9evX4+bNm9iyZYvKbAlAVSJ+6NAh4Q+WCRMmqLScV/vnP/+JkydP4scff1QZ5JednY2wsDCkpKQgJycHcXFxuHnzpkpCTgh5dVAySwhp8nbu3AlfX1+YmZmpnXvnnXeQmZmJ9PT0v+x+YWFh6N+/P4YOHYrAwECMGDECHTt2FM67u7tjw4YNWLduHVxcXLB3716Eh4f/qXu2adMGx44dw4ULF+Dm5oYZM2Zg6tSp+Pjjj1XKDRgwAEqlUkhcW7ZsCWdnZ7Ru3fovSdbmzp2LBQsWYMGCBXB1dUVsbCy+++47vPHGG0IZFxcXtGrVCm5ubkLi6u3tDaVSWWt/WQB4++238Z///AebN2+Gu7s74uLi1J5x48aNaNmyJfr06YNhw4YhICAA3bt3V7vWG2+8gT59+qBLly7o1auXcNzIyAg///wz3nnnHXTu3BkffPABZs+ejenTp/+Z0BBCmiiOadOBiRBCCGliGGPo2rUrpk+fjtDQ0MauDiGkkdAAMEIIIc1OQUEBvv76a9y7dw/vv/9+Y1eHENKIKJklhBDS7FhbW6NVq1b48ssvVWayIIS8fiiZJYQQ0uxQDzlCSDUaAEYIIYQQQpotSmYJIYQQQkizRcksIYQQQghptiiZJYQQQgghzRYls4QQQgghpNmiZJYQQgghhDRblMwSQgghhJBmi5JZQgghhBDSbP0/kC8fBCMF5u4AAAAASUVORK5CYII=",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 800x500 with 1 Axes>"
       ]
@@ -1630,7 +1758,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 25,
    "id": "ad7d2cbb-351d-4481-bb8b-4fde80893fe7",
    "metadata": {},
    "outputs": [],
@@ -1656,6 +1784,7 @@
     "\n",
     "        values = pd.Series(all_lowflows)\n",
     "\n",
+    "        # Append table and define quantiles \n",
     "        rows.append({\n",
     "            \"scenario\": scenario,\n",
     "            \"mean\": round(values.mean(), 1),\n",
@@ -1670,7 +1799,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 26,
    "id": "09a29265-5d22-4916-874e-270a2107fd53",
    "metadata": {},
    "outputs": [
@@ -1746,7 +1875,7 @@
        "2   ssp370  42.8    43.0  43.0  63.0  93.2  130.0"
       ]
      },
-     "execution_count": 43,
+     "execution_count": 26,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1781,7 +1910,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 27,
    "id": "e09f5155-fc3a-4156-92e0-664a55cc8539",
    "metadata": {},
    "outputs": [],
@@ -1866,7 +1995,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 28,
    "id": "d1a5a1ba-05ce-400f-8ab9-a60bec0bfdc5",
    "metadata": {},
    "outputs": [],
@@ -1935,7 +2064,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 29,
    "id": "f076a095-0bbd-4053-887e-df115ac18a1b",
    "metadata": {},
    "outputs": [
@@ -1973,55 +2102,55 @@
        "      <td>historical</td>\n",
        "      <td>1989-2014</td>\n",
        "      <td>1989</td>\n",
-       "      <td>evspsblpot</td>\n",
-       "      <td>675.652759</td>\n",
+       "      <td>tas</td>\n",
+       "      <td>2.562430</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>historical</td>\n",
        "      <td>1989-2014</td>\n",
        "      <td>1990</td>\n",
-       "      <td>evspsblpot</td>\n",
-       "      <td>598.145328</td>\n",
+       "      <td>tas</td>\n",
+       "      <td>1.319359</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>historical</td>\n",
        "      <td>1989-2014</td>\n",
        "      <td>1991</td>\n",
-       "      <td>evspsblpot</td>\n",
-       "      <td>614.345102</td>\n",
+       "      <td>tas</td>\n",
+       "      <td>1.052132</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>historical</td>\n",
        "      <td>1989-2014</td>\n",
        "      <td>1992</td>\n",
-       "      <td>evspsblpot</td>\n",
-       "      <td>551.774029</td>\n",
+       "      <td>tas</td>\n",
+       "      <td>0.776736</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>historical</td>\n",
        "      <td>1989-2014</td>\n",
        "      <td>1993</td>\n",
-       "      <td>evspsblpot</td>\n",
-       "      <td>594.841425</td>\n",
+       "      <td>tas</td>\n",
+       "      <td>1.499663</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "     scenario     period  year    variable       value\n",
-       "0  historical  1989-2014  1989  evspsblpot  675.652759\n",
-       "1  historical  1989-2014  1990  evspsblpot  598.145328\n",
-       "2  historical  1989-2014  1991  evspsblpot  614.345102\n",
-       "3  historical  1989-2014  1992  evspsblpot  551.774029\n",
-       "4  historical  1989-2014  1993  evspsblpot  594.841425"
+       "     scenario     period  year variable     value\n",
+       "0  historical  1989-2014  1989      tas  2.562430\n",
+       "1  historical  1989-2014  1990      tas  1.319359\n",
+       "2  historical  1989-2014  1991      tas  1.052132\n",
+       "3  historical  1989-2014  1992      tas  0.776736\n",
+       "4  historical  1989-2014  1993      tas  1.499663"
       ]
      },
-     "execution_count": 46,
+     "execution_count": 29,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2034,7 +2163,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 30,
    "id": "7e9707fe-3fec-4f72-b9bb-bff4fe01ed6e",
    "metadata": {},
    "outputs": [],
@@ -2056,7 +2185,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 31,
    "id": "3f47b648-0f62-4c96-a290-4da99c2edb07",
    "metadata": {},
    "outputs": [],
@@ -2072,7 +2201,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": 32,
    "id": "4bdf8aaa-e8a3-4f5d-b062-91a50ee41317",
    "metadata": {},
    "outputs": [
@@ -2197,7 +2326,7 @@
        "         2075-2099       656.9  645.7  136.6  5.4"
       ]
      },
-     "execution_count": 49,
+     "execution_count": 32,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2218,7 +2347,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 50,
+   "execution_count": 33,
    "id": "f0f860cc-2ac2-4d44-b941-3a255012355b",
    "metadata": {},
    "outputs": [],
@@ -2242,7 +2371,7 @@
     "        if scenario == \"historical\":\n",
     "            \n",
     "            # Plot yearly average \n",
-    "            plt.plot(scenario_data[\"year\"],scenario_data[\"value\"],color=colour,linewidth=0.3,label=scenario)\n",
+    "            plt.plot(scenario_data[\"year\"], scenario_data[\"value\"], color=colour, linewidth=0.3, label=scenario)\n",
     "\n",
     "            x = scenario_data[\"year\"].values\n",
     "            y = scenario_data[\"value\"].values\n",
@@ -2258,7 +2387,7 @@
     "        else:\n",
     "\n",
     "            # Plot yearly average\n",
-    "            plt.plot(scenario_data[\"year\"],scenario_data[\"value\"],alpha=0.3,color=colour,label=scenario)\n",
+    "            plt.plot(scenario_data[\"year\"], scenario_data[\"value\"], alpha=0.3, color=colour, label=scenario)\n",
     "\n",
     "        # Look at each 25 year period\n",
     "        for i in range(len(periods[0])):\n",
@@ -2312,13 +2441,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": 34,
    "id": "723362df-4c18-43a7-ae31-b584ff01198f",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 900x500 with 1 Axes>"
       ]
@@ -2328,7 +2457,7 @@
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 900x500 with 1 Axes>"
       ]
@@ -2338,7 +2467,7 @@
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 900x500 with 1 Axes>"
       ]
@@ -2348,7 +2477,7 @@
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 900x500 with 1 Axes>"
       ]
@@ -2365,7 +2494,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 68,
+   "execution_count": 35,
    "id": "e1accf91-c0cc-42ca-9b93-d01fafd0a457",
    "metadata": {},
    "outputs": [],
@@ -2459,13 +2588,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 69,
+   "execution_count": 36,
    "id": "ca7627a2-2243-4402-9575-079e1f767d5f",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 900x500 with 1 Axes>"
       ]
@@ -2475,7 +2604,7 @@
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 900x500 with 1 Axes>"
       ]
@@ -2485,7 +2614,7 @@
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 900x500 with 1 Axes>"
       ]
@@ -2495,7 +2624,7 @@
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 900x500 with 1 Axes>"
       ]
@@ -2552,7 +2681,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": 37,
    "id": "65d86b26-ecbd-48fd-a80a-2eedad4cd1b3",
    "metadata": {},
    "outputs": [],
@@ -2632,7 +2761,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 60,
+   "execution_count": 38,
    "id": "9df30415-2797-4600-8d2f-3912afba94a9",
    "metadata": {},
    "outputs": [
@@ -2763,7 +2892,7 @@
        "[251 rows x 4 columns]"
       ]
      },
-     "execution_count": 60,
+     "execution_count": 38,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2781,7 +2910,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 61,
+   "execution_count": 39,
    "id": "97f168cf-da9e-493f-8714-11f0066a7903",
    "metadata": {},
    "outputs": [],
@@ -2833,13 +2962,15 @@
     "    plt.grid(axis=\"y\")\n",
     "    plt.legend(title=\"Scenario\")\n",
     "    plt.xticks(rotation=45, ha=\"right\")\n",
+    "    plt.yticks(range(0, int(plot_table.to_numpy().max()) + 1, 3))\n",
+    "\n",
     "    plt.tight_layout()\n",
     "    plt.show()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 62,
+   "execution_count": 40,
    "id": "a6986d98-c133-4875-91f5-2dda53e802eb",
    "metadata": {},
    "outputs": [
@@ -2847,13 +2978,13 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_144710/4162535211.py:17: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n",
-      "/tmp/ipykernel_144710/4162535211.py:34: FutureWarning: The default value of observed=False is deprecated and will change to observed=True in a future version of pandas. Specify observed=False to silence this warning and retain the current behavior\n"
+      "/tmp/ipykernel_126637/3610468776.py:17: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n",
+      "/tmp/ipykernel_126637/3610468776.py:34: FutureWarning: The default value of observed=False is deprecated and will change to observed=True in a future version of pandas. Specify observed=False to silence this warning and retain the current behavior\n"
      ]
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 1000x500 with 1 Axes>"
       ]
@@ -2892,7 +3023,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 63,
+   "execution_count": 41,
    "id": "4fcf6ad4-1157-4fbe-b859-fc6dbd2ba79a",
    "metadata": {},
    "outputs": [],
@@ -2967,7 +3098,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 66,
+   "execution_count": 42,
    "id": "d28d2ac0-7eeb-4027-85c4-88fd4c498611",
    "metadata": {},
    "outputs": [
@@ -3110,7 +3241,7 @@
        "[251 rows x 5 columns]"
       ]
      },
-     "execution_count": 66,
+     "execution_count": 42,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3136,7 +3267,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 67,
+   "execution_count": 43,
    "id": "9ccf8722-04a8-4903-b2cf-a4fd4d08535b",
    "metadata": {},
    "outputs": [
@@ -3144,13 +3275,13 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_144710/4162535211.py:17: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n",
-      "/tmp/ipykernel_144710/4162535211.py:34: FutureWarning: The default value of observed=False is deprecated and will change to observed=True in a future version of pandas. Specify observed=False to silence this warning and retain the current behavior\n"
+      "/tmp/ipykernel_126637/3610468776.py:17: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n",
+      "/tmp/ipykernel_126637/3610468776.py:34: FutureWarning: The default value of observed=False is deprecated and will change to observed=True in a future version of pandas. Specify observed=False to silence this warning and retain the current behavior\n"
      ]
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 1000x500 with 1 Axes>"
       ]

From 49a43fd5ba194cdf4da526b3b365e2f32a3ef3fe Mon Sep 17 00:00:00 2001
From: Maxime <mxdebekker@gmail.com>
Date: Wed, 24 Jun 2026 14:44:22 +0200
Subject: [PATCH 23/24] Final changes

---
 .../BSc_MaximedeBekker.md                     |   16 +
 .../Appendix_A_Snow_depletion_curve.ipynb     |   52 +
 ...ndix_B_Calibration_output_parameters.ipynb |   89 +
 .../Report/Appendix_C_Calibration_code.ipynb  | 8959 +++++++++++++++++
 ...pendix_D_Validation_results_per_year.ipynb |  847 ++
 .../Appendix_E_Forcing_data_analysis.ipynb    |  796 ++
 .../Appendix_F_ERA5_Forcings_Generation.ipynb |  897 ++
 ...Appendix_G_CMIP6_Forcings_Generation.ipynb |  913 ++
 .../Report/Figures/HBV_Visualisation.jpg.yml  |    3 +
 .../Report/Figures/Map_LARbasin.jpg.yml       |    3 +
 .../Figures/Map_LARbasin_criticalloc.jpg.yml  |    3 +
 .../Report/Figures/SnowDepletion.jpg          |  Bin 0 -> 44668 bytes
 .../Report/Figures/SnowDepletion.jpg.yml      |    3 +
 .../Report/Figures/Workflow_diagram.jpg.yml   |    3 +
 14 files changed, 12584 insertions(+)
 create mode 100644 book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/BSc_MaximedeBekker.md
 create mode 100644 book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Appendix_A_Snow_depletion_curve.ipynb
 create mode 100644 book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Appendix_B_Calibration_output_parameters.ipynb
 create mode 100644 book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Appendix_C_Calibration_code.ipynb
 create mode 100644 book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Appendix_D_Validation_results_per_year.ipynb
 create mode 100644 book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Appendix_E_Forcing_data_analysis.ipynb
 create mode 100644 book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Appendix_F_ERA5_Forcings_Generation.ipynb
 create mode 100644 book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Appendix_G_CMIP6_Forcings_Generation.ipynb
 create mode 100644 book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Figures/HBV_Visualisation.jpg.yml
 create mode 100644 book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Figures/Map_LARbasin.jpg.yml
 create mode 100644 book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Figures/Map_LARbasin_criticalloc.jpg.yml
 create mode 100644 book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Figures/SnowDepletion.jpg
 create mode 100644 book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Figures/SnowDepletion.jpg.yml
 create mode 100644 book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Figures/Workflow_diagram.jpg.yml

diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/BSc_MaximedeBekker.md b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/BSc_MaximedeBekker.md
new file mode 100644
index 00000000..1b7c0265
--- /dev/null
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/BSc_MaximedeBekker.md
@@ -0,0 +1,16 @@
+# The influence of climate change on the river discharge of the Lower Athabasca River and its implications for navigation   - Maxime de Bekker
+
+
+## Abstract
+
+Climate change is expected to alter discharge patterns in cold region river basins, affecting both low flow conditions and river ice processes. This study investigates how climate exchange may impact discharge in the Lower Athabasca River in Alberta, Canada and what implications this has for navigation. The river is important for Indigenous communities who use navigation for transportation of resources, hunting and fishing. 
+
+To assess navigation constraints, a critical discharge threshold of 500 m3/s at Fort McMurray was used, representing conditions where navigation is restricted at 8 critical locations throughout the rivers. An algorithm was developed to identify when the river breaks and freezes up. This defined the narrowest fixed open water season to occur from 18 May to 17 October. The hydrological HBV model was calibrated and validated using observed discharge data and ERA5 forcing data. The model was then run using CMIP6 MPI-ESM1-2-HR forcing data under future climate scenarios SSP126, SSP245 and SSP370 for the period 2025-2099, where:
+
+- SSP126: Optimistic climate approach, global temperatures expected to increase by 1,8 ℃.
+- SSP245: Limited climate action, global temperatures expected to increase by 2,7 ℃.
+- SSP370: Large global disparities, global temperatures expected to increase by 3,7 ℃.
+
+The results show that annual low flow days are generally higher in the future compared to the historical period. The observed period contains an average of 27 annual low flow days, while future periods range between 31 and 49 annual low flow days depending on the climate scenario. SSP370 shows a weak increasing trend over time. Extreme low flow years become more frequent in all future scenarios. The open water season is also projected to expand, with earlier river ice break up and later freeze up.
+
+These results indicate that climate change is expected to increase navigation constraints in the Lower Athabasca River, especially under SSP370.
diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Appendix_A_Snow_depletion_curve.ipynb b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Appendix_A_Snow_depletion_curve.ipynb
new file mode 100644
index 00000000..759d4400
--- /dev/null
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Appendix_A_Snow_depletion_curve.ipynb
@@ -0,0 +1,52 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "d0383cc4-b9c6-415f-8d21-08287825c391",
+   "metadata": {},
+   "source": [
+    "# Appendix A: Snow depletion curve"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f9b78e60-dbf5-4556-9c81-ea4599d67efd",
+   "metadata": {},
+   "source": [
+    "Figure 16 below shows the snow depletion curve for the Upper Athabasca River (UAR) region above Hinton, covering around 10,000 km2 (Siemens et al., 2021). This shows how snowmelt may lead to sudden peaks in discharge when the snow cover depletes quickly. Although the figure is based on the UAR, the vast majority of the LAR basin lies below 1500 m elevation and may behave similarly. This line will therefore have the biggest contribution to discharge into the LAR: The snow cover depletes around the end April to start of May which is when freshet starts and aligns with the freshet algorithm (see chapter 3). "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "831855b2-e1d9-40c6-b375-7ca390ba333a",
+   "metadata": {},
+   "source": [
+    "<figure>\n",
+    "  <img src=\"Figures/SnowDepletion.jpg\">\n",
+    "  <figcaption><b>Figure 16:</b> Snow depletion curve for the Upper Athabasca River basin for the year 2000 (Siemens et al., 2021).</figcaption>\n",
+    "</figure>"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Appendix_B_Calibration_output_parameters.ipynb b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Appendix_B_Calibration_output_parameters.ipynb
new file mode 100644
index 00000000..de6fc5af
--- /dev/null
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Appendix_B_Calibration_output_parameters.ipynb
@@ -0,0 +1,89 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "f78804b5-42b7-4d43-90dd-62984587d028",
+   "metadata": {},
+   "source": [
+    "# Appendix B Calibration parameters output "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3bf68a02-ffee-479e-af13-c5b799b11e39",
+   "metadata": {},
+   "source": [
+    "The tables below show the HBV parameter descriptions and calibration results. Most notable from table x is the variance in soil moisture storage, maximum percolation rate, slow reservoir recession coefficient and snowmelt factor. Throughout the year soils may behave differently. During winter, frozen soils can reduce infiltration and percolation causing a larger fraction to become surface runoff, while after thawing, infiltration and soil water storage may increase. These seasonal changes can influence variability in values of Su,max, Pmax and KS. Variability in FM may be due to differences in snow accumulation and timing across the large basin. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "dadc7f0e-5f9b-4101-9b28-2eeb30df566b",
+   "metadata": {},
+   "source": [
+    "*Table B.1: HBV model parameters.*\n",
+    "\n",
+    "| **Parameter**            | **Description**                                          |\n",
+    "|--------------------------|----------------------------------------------------------|\n",
+    "| $I_{\\text{max}}$         | Maximum interception storage [mm]                        |\n",
+    "| $C_{\\text{e}}$           | Evaporation correction factor [-]                        |\n",
+    "| $S_{\\text{u,max}}$       | Maximum soil moisture storage [mm]                       |\n",
+    "| $\\beta$                  | Soil runoff parameter [-]                                |\n",
+    "| $P_{\\text{max}}$         | Maximum percolation rate [mm/day]                        |\n",
+    "| $T_{\\text{lag}}$         | Time lag [days]                                          |\n",
+    "| $K_{\\text{f}}$           | Fast reservoir recession coeofficient     [1/day]        |\n",
+    "| $K_{\\text{s}}$           | Slow reservoir recession coeofficient     [1/day]        |\n",
+    "| $F_{\\text{M}}$           | Snowmelt factor                           [-]            |"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "764ec9eb-001d-42e1-a1be-389fb1d82d08",
+   "metadata": {},
+   "source": [
+    "*Table B.2: Table showing 5 best calibration parameter sets.*\n",
+    "\n",
+    "| **Parameter**            | **Set 1** | **Set 2** | **Set 3** | **Set 4** | **Set 5** |                                         \n",
+    "|--------------------------|-----------|-----------|-----------|-----------|-----------|\n",
+    "| $I_{\\text{max}}$         | 6,27      | 7,36      | 7,94      | 5,55      | 7,24      |                        \n",
+    "| $C_{\\text{e}}$           | 0,48      | 0,43      | 0,46      | 0,46      | 0,47      |   \n",
+    "| $S_{\\text{u,max}}$       | 174,13    | 192,67    | 219,70    | 187,85    | 181,82    |   \n",
+    "| $\\beta$                  | 1,95      | 1,66      | 1,73      | 1,83      | 1,82      |  \n",
+    "| $P_{\\text{max}}$         | 0,33      | 0,29      | 0,26      | 0,44      | 0,48      |   \n",
+    "| $T_{\\text{lag}}$         | 6,20      | 5,32      | 5,81      | 6,29      | 5,55      |\n",
+    "| $K_{\\text{f}}$           | 0,077     | 0,094     | 0,048     | 0,063     | 0,045     |  \n",
+    "| $K_{\\text{s}}$           | 0,0044    | 0,0044    | 0,0016    | 0,033     | 0,0023    | \n",
+    "| $F_{\\text{M}}$           | 0,41      | 1,15      | 0,77      | 0,80      | 1,25      |                                        "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e904e75a-5f93-402c-8259-656e2afc6170",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Appendix_C_Calibration_code.ipynb b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Appendix_C_Calibration_code.ipynb
new file mode 100644
index 00000000..83a6c5ac
--- /dev/null
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Appendix_C_Calibration_code.ipynb
@@ -0,0 +1,8959 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "25158536-a09e-49ab-8d99-f82378f29ea0",
+   "metadata": {},
+   "source": [
+    "# Appendix C: Calibration code"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c1a2e54c-fc53-4cff-a4d6-e1802f3119b5",
+   "metadata": {},
+   "source": [
+    "In this appendix is the code used to calibrate the model. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fbc7f454-3d60-492d-aa6c-0ce21a0dfc77",
+   "metadata": {},
+   "source": [
+    "## Startup"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "95a06f73-282f-4c7c-8333-f002e73e205a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General python\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\", category=UserWarning)\n",
+    "\n",
+    "import numpy as np\n",
+    "from pathlib import Path\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import xarray as xr\n",
+    "\n",
+    "# Niceties\n",
+    "from rich import print\n",
+    "\n",
+    "from ipywidgets import IntProgress\n",
+    "from IPython.display import display"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "8b61a012-64eb-48b2-ba78-f641a1a581a3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General eWaterCycle\n",
+    "import ewatercycle\n",
+    "import ewatercycle.models\n",
+    "import ewatercycle.forcing"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a860a623-f634-4b50-822c-51e09ab4e594",
+   "metadata": {},
+   "source": [
+    "### Defining variables & pathways"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "970798cd-b737-44f3-8edd-de3352b86efd",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Choosing time period & basin si\n",
+    "\n",
+    "experiment_start_date = \"2000-01-01T00:00:00Z\"\n",
+    "experiment_end_date = \"2005-12-31T00:00:00Z\"\n",
+    "\n",
+    "calibration_start = \"1999-01-01T00:00:00Z\"\n",
+    "calibration_end = \"2019-12-31T00:00:00Z\"\n",
+    "\n",
+    "# validation_start = \"\"\n",
+    "# validation_end = \"\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "241efaf0-94fc-4e07-8a62-151661dc4343",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create pathways for ERA 5 forcings\n",
+    "\n",
+    "forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"forcings\" / \"ERA5\" / \"ERA5-1999-2019\"\n",
+    "\n",
+    "discharge_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
+    "\n",
+    "shape_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "basin_size = 132572\n",
+    "\n",
+    "hbv_config = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"hbv_config\"\n",
+    "hbv_config.mkdir(parents=True, exist_ok=True)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fd4ec71b-d4f6-4a1c-be9a-f8d3b89059d1",
+   "metadata": {},
+   "source": [
+    "### Load & prepare discharge data "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "d590f365-72ad-4473-9996-88820ea52c18",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load CSV discharge 07DA001\n",
+    "\n",
+    "q_obs = pd.read_csv(discharge_file, skiprows=1)\n",
+    "q_obs = q_obs[[\"Date\", \"Value\"]].copy()\n",
+    "q_obs[\"Date\"] = pd.to_datetime(q_obs[\"Date\"])\n",
+    "q_obs = q_obs.rename(columns={\"Value\": \"discharge_m3s\"})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "1cec4b74-037a-4d48-8769-e0b57a7683aa",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Filter q_obs to start & end date\n",
+    "\n",
+    "# start_date = pd.to_datetime(experiment_start_date.replace(\"Z\", \"\"))\n",
+    "# end_date = pd.to_datetime(experiment_end_date.replace(\"Z\", \"\"))\n",
+    "\n",
+    "# q_obs = q_obs[(q_obs[\"Date\"] >= start_date) & (q_obs[\"Date\"] <= end_date)]\n",
+    "# observed_output = pd.Series(data=q_obs[\"discharge_m3s\"].to_numpy(), name=\"Observed discharge\", index=q_obs[\"Date\"])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a7c47f7f-18ff-4441-b1d4-975e46e1719b",
+   "metadata": {},
+   "source": [
+    "### Generate or Load ERA5 data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "eb582ebf-8fbc-4542-b785-cee2f332bdd5",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">LumpedMakkinkForcing</span><span style=\"font-weight: bold\">(</span>\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">start_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'1999-01-01T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">end_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'2019-12-31T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">directory</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1999-2019'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">shape</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">filenames</span>=<span style=\"font-weight: bold\">{</span>\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'evspsblpot'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1999_2019_evspsblpot.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'pr'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1999_2019_pr.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'rsds'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1999_2019_rsds.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'tas'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1999_2019_tas.nc'</span>\n",
+       "    <span style=\"font-weight: bold\">}</span>\n",
+       "<span style=\"font-weight: bold\">)</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1;35mLumpedMakkinkForcing\u001b[0m\u001b[1m(\u001b[0m\n",
+       "    \u001b[33mstart_time\u001b[0m=\u001b[32m'1999-01-01T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mend_time\u001b[0m=\u001b[32m'2019-12-31T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mdirectory\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/forcings/ERA5-1999-2019'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mshape\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/Workyard/Shapefiles/07DA001_basin.shp'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mfilenames\u001b[0m=\u001b[1m{\u001b[0m\n",
+       "        \u001b[32m'evspsblpot'\u001b[0m: \u001b[32m'combined_ERA5_1999_2019_evspsblpot.nc'\u001b[0m,\n",
+       "        \u001b[32m'pr'\u001b[0m: \u001b[32m'combined_ERA5_1999_2019_pr.nc'\u001b[0m,\n",
+       "        \u001b[32m'rsds'\u001b[0m: \u001b[32m'combined_ERA5_1999_2019_rsds.nc'\u001b[0m,\n",
+       "        \u001b[32m'tas'\u001b[0m: \u001b[32m'combined_ERA5_1999_2019_tas.nc'\u001b[0m\n",
+       "    \u001b[1m}\u001b[0m\n",
+       "\u001b[1m)\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Generate ERA5 data\n",
+    "# ERA5_forcing = ewatercycle.forcing.sources['LumpedMakkinkForcing'].generate(\n",
+    "#     dataset=\"ERA5\",\n",
+    "#     start_time=experiment_start_date,\n",
+    "#     end_time=experiment_end_date,\n",
+    "#     shape=shape_file,\n",
+    "# )\n",
+    "\n",
+    "# Load ERA5 data\n",
+    "ERA5_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=forcing_path_ERA5)\n",
+    "\n",
+    "print(ERA5_forcing)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6fc290da-fa08-48f0-83e3-a39e8f5c36ef",
+   "metadata": {},
+   "source": [
+    "## Calibration Methods"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ba51d28d-1fdb-46af-8f8e-5dcf904aba7f",
+   "metadata": {},
+   "source": [
+    "### Method 1: NSE"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "9ff8dc21-0959-49a4-9d4b-496726c90f88",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def NSE(sim, obs):\n",
+    "    sim = sim.to_numpy()\n",
+    "    obs = obs.to_numpy()\n",
+    "\n",
+    "    return 1 - np.sum((obs - sim) ** 2) / np.sum((obs - np.mean(obs)) ** 2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "93f96591-ceb4-4671-9a48-04a0ddbfaf5a",
+   "metadata": {},
+   "source": [
+    "### Method 2: Log_NSE"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "826cfb65-21ba-4901-aafe-37738913c0ee",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def log_NSE(sim, obs):\n",
+    "    # Convert for easy calculations\n",
+    "    sim = sim.to_numpy()\n",
+    "    obs = obs.to_numpy()\n",
+    "\n",
+    "    # Avoid log(0)\n",
+    "    eps = 0.00000000001\n",
+    "\n",
+    "    log_sim = np.log(sim + eps)\n",
+    "    log_obs = np.log(obs + eps)\n",
+    "\n",
+    "    return 1 - np.sum((log_obs - log_sim) ** 2) / np.sum((log_obs - np.mean(log_obs)) ** 2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8dc2e27c-2caa-493a-8ad0-3a8540ff4a18",
+   "metadata": {},
+   "source": [
+    "### Define Parameters & Storages and Times"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "2ed6540e-ec2f-4f80-975f-66fee4b2a75a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Define initial storages\n",
+    "#               Si,  Su, Sf, Ss, Sp\n",
+    "s_0 = np.array([0,  100,  0,  5,  0])\n",
+    "\n",
+    "# Define parameters (range)\n",
+    "parameter_ranges = {\n",
+    "    \"Imax\":  (5.5, 8),            # Maximum interception storage\n",
+    "    \"Ce\":    (0.35, 0.6),       # Evaporation correction factor\n",
+    "    \"Sumax\": (150, 220),         # Maximum soil moisture storage\n",
+    "    \"Beta\":  (1.6, 2),          # Soil runoff parameter\n",
+    "    \"Pmax\":  (0.1, 0.6),            # Maximum percolation rate\n",
+    "    \"Tlag\":  (5.2, 7),           # Time lag\n",
+    "    \"Kf\":    (0.01, 0.1),       # Fast reservoir recession coefficient\n",
+    "    \"Ks\":    (0.001, 0.1),     # Slow reservoir recession coefficient\n",
+    "    \"FM\":    (0.3, 1.4),          # Snowmelt factor\n",
+    "}\n",
+    "\n",
+    "# Convert to arrays\n",
+    "parameter_names = list(parameter_ranges.keys())\n",
+    "\n",
+    "p_min = np.array([parameter_ranges[name][0] for name in parameter_names])\n",
+    "p_max = np.array([parameter_ranges[name][1] for name in parameter_names])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fc6ef77d-95ba-4277-ab8c-654fa025894d",
+   "metadata": {},
+   "source": [
+    "### Create samples"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "47df771f-85c1-40a7-9e28-a6dfb3134514",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">[</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7.85285914e+00</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3.89990216e-01</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.76127959e+02</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.92058774e+00</span>\n",
+       " <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5.56024109e-01</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6.99810960e+00</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3.01314564e-02</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6.63774925e-02</span>\n",
+       " <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">9.62585104e-01</span><span style=\"font-weight: bold\">]</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1m[\u001b[0m\u001b[1;36m7.85285914e+00\u001b[0m \u001b[1;36m3.89990216e-01\u001b[0m \u001b[1;36m1.76127959e+02\u001b[0m \u001b[1;36m1.92058774e+00\u001b[0m\n",
+       " \u001b[1;36m5.56024109e-01\u001b[0m \u001b[1;36m6.99810960e+00\u001b[0m \u001b[1;36m3.01314564e-02\u001b[0m \u001b[1;36m6.63774925e-02\u001b[0m\n",
+       " \u001b[1;36m9.62585104e-01\u001b[0m\u001b[1m]\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "### Create samples\n",
+    "N = 10\n",
+    "par_samples = np.random.rand(N, len(parameter_ranges))                  # Generates random values between 0-1\n",
+    "parameter_sets = p_min + par_samples * (p_max - p_min)                  # Fits value to parameter range\n",
+    "\n",
+    "print(parameter_sets[:][0])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e22418a9-e4ba-4890-85a8-abcfd66c85f2",
+   "metadata": {},
+   "source": [
+    "### Define time period"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "9c72add6-8b9f-4b3e-9e9f-77406215c196",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Define time period\n",
+    "calibration_start_date = pd.to_datetime(calibration_start.replace(\"Z\", \"\"))\n",
+    "calibration_end_date = pd.to_datetime(calibration_end.replace(\"Z\", \"\"))\n",
+    "\n",
+    "# Skip 1 year for calibration\n",
+    "evaluation_start = pd.to_datetime(f\"{calibration_start_date.year + 1}-01-01\")\n",
+    "\n",
+    "# Align q_obs\n",
+    "q_obs = q_obs[(q_obs[\"Date\"] >= calibration_start_date) & (q_obs[\"Date\"] <= calibration_end_date)]\n",
+    "observed_output = pd.Series(data=q_obs[\"discharge_m3s\"].to_numpy(), name=\"Observed discharge\", index=q_obs[\"Date\"])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "645d5bb0-de70-4b97-9aa0-93094c91ebe6",
+   "metadata": {},
+   "source": [
+    "## Calibration start function"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "0f58e61f-7178-44f8-8e5e-e1fa402813c9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create function to run the model\n",
+    "\n",
+    "def run_hbv(parameters, initial_storages, forcing):\n",
+    "\n",
+    "    # Create model object\n",
+    "    model = ewatercycle.models.HBV(forcing=forcing)\n",
+    "\n",
+    "    # Create config file\n",
+    "    config_file, _ = model.setup(\n",
+    "        parameters=parameters,\n",
+    "        initial_storages=initial_storages,\n",
+    "        cfg_dir=hbv_config)\n",
+    "\n",
+    "    # Initialising model\n",
+    "    model.initialize(config_file)\n",
+    "\n",
+    "    # Define & update outputs \n",
+    "    Q_m = []\n",
+    "    time = []\n",
+    "\n",
+    "    while model.time < model.end_time:\n",
+    "        model.update()\n",
+    "        Q_m.append(model.get_value(\"Q\")[0])\n",
+    "        time.append(pd.Timestamp(model.time_as_datetime))\n",
+    "\n",
+    "    model.finalize()\n",
+    "\n",
+    "    # Convert mm/day to m3/s\n",
+    "    model_output_mmday = pd.Series(\n",
+    "        data=Q_m, \n",
+    "        index=time, \n",
+    "        name=\"Modelled discharge\")\n",
+    "    \n",
+    "    model_output_m3s = model_output_mmday * basin_size * 1000 / 86400\n",
+    "\n",
+    "    return model_output_m3s"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1e93b5d4-0a92-4d09-b135-07101e614d9e",
+   "metadata": {},
+   "source": [
+    "### Run HBV loop"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "577e23e5-8db6-45a1-b91b-aae3a46b6c12",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "1ce6bc7773174ef98c9608eb840d31a4",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "IntProgress(value=0, max=600)"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m1\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m2\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m3\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m4\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m5\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m6\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m7\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">8</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m8\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">9</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m9\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">10</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m10\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">11</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m11\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">12</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m12\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">13</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m13\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">14</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m14\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">15</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m15\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">16</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m16\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">17</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m17\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">18</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m18\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">19</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m19\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">20</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m20\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">21</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m21\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">22</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m22\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">23</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m23\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">24</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m24\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">25</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m25\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">26</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m26\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">27</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m27\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">28</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m28\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">29</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m29\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">30</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m30\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">31</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m31\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">32</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m32\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">33</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m33\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">34</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m34\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">35</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m35\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">36</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m36\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">37</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m37\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">38</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m38\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">39</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m39\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">40</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m40\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">41</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m41\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">42</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m42\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">43</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m43\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">44</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m44\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">45</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m45\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">46</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m46\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">47</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m47\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">48</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m48\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">49</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m49\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">50</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m50\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">51</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m51\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">52</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m52\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">53</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m53\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">54</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m54\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">55</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m55\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">56</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m56\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">57</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m57\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">58</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m58\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">59</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m59\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">60</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m60\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">61</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m61\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">62</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m62\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">63</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m63\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">64</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m64\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">65</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m65\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">66</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m66\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">67</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m67\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">68</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m68\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">69</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m69\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">70</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m70\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">71</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m71\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">72</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m72\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">73</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m73\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">74</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m74\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">75</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m75\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">76</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m76\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">77</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m77\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">78</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m78\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">79</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m79\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">80</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m80\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">81</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m81\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">82</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m82\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">83</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m83\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">84</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m84\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">85</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m85\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">86</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m86\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">87</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m87\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">88</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m88\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">89</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m89\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">90</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m90\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">91</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m91\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">92</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m92\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">93</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m93\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">94</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m94\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">95</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m95\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">96</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m96\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">97</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m97\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">98</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m98\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">99</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m99\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">100</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m100\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">101</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m101\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">102</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m102\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">103</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m103\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">104</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m104\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">105</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m105\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">106</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m106\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">107</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m107\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">108</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m108\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">109</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m109\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">110</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m110\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">111</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m111\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">112</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m112\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">113</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m113\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">114</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m114\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">115</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m115\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">116</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m116\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">117</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m117\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">118</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m118\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">119</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m119\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">120</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m120\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">121</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m121\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">122</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m122\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">123</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m123\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">124</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m124\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">125</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m125\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">126</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m126\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">127</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m127\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">128</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m128\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">129</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m129\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">130</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m130\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">131</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m131\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">132</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m132\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">133</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m133\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">134</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m134\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">135</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m135\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">136</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m136\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">137</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m137\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">138</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m138\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">139</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m139\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">140</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m140\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">141</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m141\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">142</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m142\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">143</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m143\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">144</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m144\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">145</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m145\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">146</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m146\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">147</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m147\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">148</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m148\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">149</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m149\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">150</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m150\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">151</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m151\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">152</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m152\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">153</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m153\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">154</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m154\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">155</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m155\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">156</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m156\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">157</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m157\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">158</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m158\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">159</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m159\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">160</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m160\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">161</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m161\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">162</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m162\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">163</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m163\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">164</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m164\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">165</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m165\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">166</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m166\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">167</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m167\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">168</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m168\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">169</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m169\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">170</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m170\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">171</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m171\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">172</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m172\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">173</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m173\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">174</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m174\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">175</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m175\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">176</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m176\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">177</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m177\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">178</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m178\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">179</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m179\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">180</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m180\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">181</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m181\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">182</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m182\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">183</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m183\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">184</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m184\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">185</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m185\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">186</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m186\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">187</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m187\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">188</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m188\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">189</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m189\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">190</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m190\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">191</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m191\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">192</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m192\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">193</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m193\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">194</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m194\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">195</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m195\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">196</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m196\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">197</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m197\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">198</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m198\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">199</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m199\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">200</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m200\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">201</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m201\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">202</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m202\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">203</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m203\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">204</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m204\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">205</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m205\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">206</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m206\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">207</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m207\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">208</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m208\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">209</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m209\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">210</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m210\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">211</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m211\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">212</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m212\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">213</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m213\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">214</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m214\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">215</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m215\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">216</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m216\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">217</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m217\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">218</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m218\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">219</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m219\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">220</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m220\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">221</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m221\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">222</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m222\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">223</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m223\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">224</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m224\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">225</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m225\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">226</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m226\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">227</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m227\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">228</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m228\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">229</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m229\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">230</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m230\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">231</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m231\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">232</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m232\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">233</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m233\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">234</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m234\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">235</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m235\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">236</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m236\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">237</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m237\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">238</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m238\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">239</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m239\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">240</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m240\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">241</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m241\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">242</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m242\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">243</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m243\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">244</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m244\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">245</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m245\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">246</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m246\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">247</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m247\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">248</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m248\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">249</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m249\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">250</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m250\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">251</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m251\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">252</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m252\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">253</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m253\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">254</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m254\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">255</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m255\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">256</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m256\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">257</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m257\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">258</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m258\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">259</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m259\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">260</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m260\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">261</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m261\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">262</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m262\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">263</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m263\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">264</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m264\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">265</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m265\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">266</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m266\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">267</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m267\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">268</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m268\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">269</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m269\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">270</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m270\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">271</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m271\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">272</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m272\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">273</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m273\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">274</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m274\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">275</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m275\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">276</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m276\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">277</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m277\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">278</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m278\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">279</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m279\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">280</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m280\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">281</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m281\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">282</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m282\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">283</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m283\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">284</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m284\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">285</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m285\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">286</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m286\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">287</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m287\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">288</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m288\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">289</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m289\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">290</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m290\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">291</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m291\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">292</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m292\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">293</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m293\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">294</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m294\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">295</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m295\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">296</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m296\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">297</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m297\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">298</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m298\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">299</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m299\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">300</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m300\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">301</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m301\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">302</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m302\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">303</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m303\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">304</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m304\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">305</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m305\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">306</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m306\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">307</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m307\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">308</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m308\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">309</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m309\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">310</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m310\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">311</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m311\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">312</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m312\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">313</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m313\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">314</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m314\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">315</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m315\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">316</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m316\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">317</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m317\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">318</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m318\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">319</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m319\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">320</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m320\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">321</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m321\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">322</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m322\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">323</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m323\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">324</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m324\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">325</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m325\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">326</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m326\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">327</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m327\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">328</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m328\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">329</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m329\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">330</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m330\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">331</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m331\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">332</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m332\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">333</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m333\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">334</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m334\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">335</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m335\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">336</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m336\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">337</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m337\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">338</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m338\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">339</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m339\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">340</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m340\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">341</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m341\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">342</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m342\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">343</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m343\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">344</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m344\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">345</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m345\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">346</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m346\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">347</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m347\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">348</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m348\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">349</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m349\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">350</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m350\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">351</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m351\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">352</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m352\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">353</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m353\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">354</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m354\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">355</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m355\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">356</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m356\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">357</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m357\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">358</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m358\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">359</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m359\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">360</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m360\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">361</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m361\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">362</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m362\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">363</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m363\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">364</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m364\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">365</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m365\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">366</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m366\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">367</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m367\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">368</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m368\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">369</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m369\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">370</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m370\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">371</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m371\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">372</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m372\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">373</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m373\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">374</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m374\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">375</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m375\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">376</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m376\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">377</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m377\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">378</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m378\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">379</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m379\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">380</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m380\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">381</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m381\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">382</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m382\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">383</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m383\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">384</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m384\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">385</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m385\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">386</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m386\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">387</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m387\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">388</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m388\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">389</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m389\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">390</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m390\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">391</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m391\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">392</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m392\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">393</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m393\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">394</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m394\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">395</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m395\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">396</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m396\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">397</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m397\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">398</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m398\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">399</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m399\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">400</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m400\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">401</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m401\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">402</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m402\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">403</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m403\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">404</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m404\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">405</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m405\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">406</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m406\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">407</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m407\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">408</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m408\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">409</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m409\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">410</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m410\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">411</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m411\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">412</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m412\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">413</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m413\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">414</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m414\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">415</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m415\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">416</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m416\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">417</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m417\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">418</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m418\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">419</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m419\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">420</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m420\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">421</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m421\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">422</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m422\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">423</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m423\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">424</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m424\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">425</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m425\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">426</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m426\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">427</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m427\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">428</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m428\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">429</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m429\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">430</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m430\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">431</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m431\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">432</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m432\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">433</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m433\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">434</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m434\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">435</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m435\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">436</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m436\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">437</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m437\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">438</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m438\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">439</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m439\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">440</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m440\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">441</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m441\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">442</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m442\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">443</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m443\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">444</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m444\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">445</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m445\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">446</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m446\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">447</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m447\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">448</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m448\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">449</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m449\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">450</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m450\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">451</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m451\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">452</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m452\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">453</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m453\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">454</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m454\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">455</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m455\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">456</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m456\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">457</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m457\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">458</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m458\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">459</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m459\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">460</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m460\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">461</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m461\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">462</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m462\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">463</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m463\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">464</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m464\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">465</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m465\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">466</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m466\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">467</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m467\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">468</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m468\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">469</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m469\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">470</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m470\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">471</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m471\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">472</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m472\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">473</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m473\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">474</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m474\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">475</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m475\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">476</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m476\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">477</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m477\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">478</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m478\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">479</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m479\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">480</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m480\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">481</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m481\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">482</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m482\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">483</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m483\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">484</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m484\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">485</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m485\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">486</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m486\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">487</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m487\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">488</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m488\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">489</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m489\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">490</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m490\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">491</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m491\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">492</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m492\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">493</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m493\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">494</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m494\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">495</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m495\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">496</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m496\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">497</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m497\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">498</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m498\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">499</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m499\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">500</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m500\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">501</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m501\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">502</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m502\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">503</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m503\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">504</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m504\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">505</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m505\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">506</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m506\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">507</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m507\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">508</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m508\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">509</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m509\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">510</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m510\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">511</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m511\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">512</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m512\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">513</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m513\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">514</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m514\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">515</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m515\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">516</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m516\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">517</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m517\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">518</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m518\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">519</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m519\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">520</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m520\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">521</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m521\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">522</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m522\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">523</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m523\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">524</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m524\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">525</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m525\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">526</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m526\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">527</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m527\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">528</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m528\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">529</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m529\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">530</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m530\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">531</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m531\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">532</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m532\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">533</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m533\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">534</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m534\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">535</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m535\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">536</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m536\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">537</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m537\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">538</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m538\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">539</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m539\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">540</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m540\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">541</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m541\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">542</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m542\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">543</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m543\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">544</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m544\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">545</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m545\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">546</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m546\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">547</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m547\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">548</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m548\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">549</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m549\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">550</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m550\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">551</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m551\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">552</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m552\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">553</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m553\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">554</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m554\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">555</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m555\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">556</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m556\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">557</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m557\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">558</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m558\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">559</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m559\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">560</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m560\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">561</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m561\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">562</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m562\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">563</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m563\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">564</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m564\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">565</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m565\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">566</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m566\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">567</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m567\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">568</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m568\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">569</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m569\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">570</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m570\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">571</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m571\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">572</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m572\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">573</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m573\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">574</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m574\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">575</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m575\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">576</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m576\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">577</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m577\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">578</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m578\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">579</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m579\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">580</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m580\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">581</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m581\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">582</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m582\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">583</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m583\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">584</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m584\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">585</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m585\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">586</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m586\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">587</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m587\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">588</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m588\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">589</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m589\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">590</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m590\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">591</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m591\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">592</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m592\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">593</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m593\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">594</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m594\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">595</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m595\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">596</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m596\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">597</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m597\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">598</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m598\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">599</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m599\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m600\u001b[0m/\u001b[1;36m600\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "results = []\n",
+    "\n",
+    "# Progress bar for visualization\n",
+    "f = IntProgress(min=0, max=N)\n",
+    "display(f)\n",
+    "\n",
+    "for i in range(N):\n",
+    "    print(f\"Running parameter set {i+1}/{N}\")\n",
+    "\n",
+    "    simulated = run_hbv(\n",
+    "        parameters=parameter_sets[i], \n",
+    "        initial_storages=s_0, \n",
+    "        forcing=ERA5_forcing)\n",
+    "\n",
+    "    # Filter data by day only, not by day & time to prevent alignment issues\n",
+    "    simulated_daily = simulated\n",
+    "    observed_daily = observed_output\n",
+    "\n",
+    "    simulated_daily.index = pd.to_datetime(simulated_daily.index).tz_localize(None).normalize()\n",
+    "    observed_daily.index = pd.to_datetime(observed_daily.index).tz_localize(None).normalize()\n",
+    "    \n",
+    "    # Align simulated and observed data\n",
+    "    combined_data = pd.DataFrame(\n",
+    "        {\"Modelled discharge\": simulated_daily, \n",
+    "        \"Observed discharge\": observed_daily}).dropna()\n",
+    "\n",
+    "    # Skip first year as warm-up\n",
+    "    combined_data = combined_data[\n",
+    "        (combined_data.index >= evaluation_start) &\n",
+    "        (combined_data.index <= calibration_end_date)]\n",
+    "\n",
+    "    # Exclude ice affected winter period\n",
+    "    combined_data = combined_data[\n",
+    "        ~combined_data.index.month.isin([12, 1, 2, 3, 4])]\n",
+    "\n",
+    "    # Append results and drop nan\n",
+    "    if combined_data.empty:\n",
+    "        print(f\"No overlapping data for parameter set {i+1}\")\n",
+    "        nse = np.nan\n",
+    "        log_nse = np.nan\n",
+    "    else:\n",
+    "        nse = NSE(\n",
+    "            combined_data[\"Modelled discharge\"], \n",
+    "            combined_data[\"Observed discharge\"])\n",
+    "        \n",
+    "        log_nse = log_NSE(\n",
+    "            combined_data[\"Modelled discharge\"], \n",
+    "            combined_data[\"Observed discharge\"])\n",
+    "        \n",
+    "    results.append({\n",
+    "        \"run\": i,\n",
+    "        \"NSE\": nse,\n",
+    "        \"log_NSE\": log_nse,\n",
+    "        \"parameters\": parameter_sets[i]})"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2d7b5f35-f872-4ef5-8ced-c92cdd81c8f8",
+   "metadata": {},
+   "source": [
+    "### Display best results"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "4c69f827-adda-4ec9-8863-abf0ba31e0d2",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">     run       NSE   log_NSE\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0</span>      <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.288376</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.337195</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>      <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.279102</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.480497</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>      <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.384565</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.462463</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>      <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">-0.085379</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.265060</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>      <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.118825</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.395402</span>\n",
+       "..   <span style=\"color: #808000; text-decoration-color: #808000\">...</span>       <span style=\"color: #808000; text-decoration-color: #808000\">...</span>       <span style=\"color: #808000; text-decoration-color: #808000\">...</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">595</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">595</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.378628</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.445890</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">596</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">596</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.190509</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.402412</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">597</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">597</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.034397</span> <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">-0.105571</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">598</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">598</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.174568</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.090100</span>\n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">599</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">599</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.379411</span>  <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.461890</span>\n",
+       "\n",
+       "<span style=\"font-weight: bold\">[</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">600</span> rows x <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span> columns<span style=\"font-weight: bold\">]</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "     run       NSE   log_NSE\n",
+       "\u001b[1;36m0\u001b[0m      \u001b[1;36m0\u001b[0m  \u001b[1;36m0.288376\u001b[0m  \u001b[1;36m0.337195\u001b[0m\n",
+       "\u001b[1;36m1\u001b[0m      \u001b[1;36m1\u001b[0m  \u001b[1;36m0.279102\u001b[0m  \u001b[1;36m0.480497\u001b[0m\n",
+       "\u001b[1;36m2\u001b[0m      \u001b[1;36m2\u001b[0m  \u001b[1;36m0.384565\u001b[0m  \u001b[1;36m0.462463\u001b[0m\n",
+       "\u001b[1;36m3\u001b[0m      \u001b[1;36m3\u001b[0m \u001b[1;36m-0.085379\u001b[0m  \u001b[1;36m0.265060\u001b[0m\n",
+       "\u001b[1;36m4\u001b[0m      \u001b[1;36m4\u001b[0m  \u001b[1;36m0.118825\u001b[0m  \u001b[1;36m0.395402\u001b[0m\n",
+       "..   \u001b[33m...\u001b[0m       \u001b[33m...\u001b[0m       \u001b[33m...\u001b[0m\n",
+       "\u001b[1;36m595\u001b[0m  \u001b[1;36m595\u001b[0m  \u001b[1;36m0.378628\u001b[0m  \u001b[1;36m0.445890\u001b[0m\n",
+       "\u001b[1;36m596\u001b[0m  \u001b[1;36m596\u001b[0m  \u001b[1;36m0.190509\u001b[0m  \u001b[1;36m0.402412\u001b[0m\n",
+       "\u001b[1;36m597\u001b[0m  \u001b[1;36m597\u001b[0m  \u001b[1;36m0.034397\u001b[0m \u001b[1;36m-0.105571\u001b[0m\n",
+       "\u001b[1;36m598\u001b[0m  \u001b[1;36m598\u001b[0m  \u001b[1;36m0.174568\u001b[0m  \u001b[1;36m0.090100\u001b[0m\n",
+       "\u001b[1;36m599\u001b[0m  \u001b[1;36m599\u001b[0m  \u001b[1;36m0.379411\u001b[0m  \u001b[1;36m0.461890\u001b[0m\n",
+       "\n",
+       "\u001b[1m[\u001b[0m\u001b[1;36m600\u001b[0m rows x \u001b[1;36m3\u001b[0m columns\u001b[1m]\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Best run: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">232</span> with NSE: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.5042075946097913</span>, with parameters:\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Best run: \u001b[1;36m232\u001b[0m with NSE: \u001b[1;36m0.5042075946097913\u001b[0m, with parameters:\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">[</span>\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Imax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6.488362330365561</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ce'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.4845571293512798</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Sumax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">218.83336737778694</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Beta'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.7699130278847444</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Pmax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.1358146729030282</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Tlag'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5.44235281882723</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Kf'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.04585512368848791</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ks'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.008840391568068273</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'FM'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.8983450417631202</span><span style=\"font-weight: bold\">)</span>\n",
+       "<span style=\"font-weight: bold\">]</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1m[\u001b[0m\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Imax'\u001b[0m, \u001b[1;36m6.488362330365561\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ce'\u001b[0m, \u001b[1;36m0.4845571293512798\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Sumax'\u001b[0m, \u001b[1;36m218.83336737778694\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Beta'\u001b[0m, \u001b[1;36m1.7699130278847444\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Pmax'\u001b[0m, \u001b[1;36m0.1358146729030282\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Tlag'\u001b[0m, \u001b[1;36m5.44235281882723\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Kf'\u001b[0m, \u001b[1;36m0.04585512368848791\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ks'\u001b[0m, \u001b[1;36m0.008840391568068273\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'FM'\u001b[0m, \u001b[1;36m0.8983450417631202\u001b[0m\u001b[1m)\u001b[0m\n",
+       "\u001b[1m]\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Best run: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">451</span> with log_NSE: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.5985790718618934</span>, with parameters:\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Best run: \u001b[1;36m451\u001b[0m with log_NSE: \u001b[1;36m0.5985790718618934\u001b[0m, with parameters:\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">[</span>\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Imax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6.9919295474161505</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ce'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.44128061023639964</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Sumax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">183.49045936834898</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Beta'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.62907119850059</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Pmax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.5726586861631707</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Tlag'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5.2154764587256395</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Kf'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.06546844116401723</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ks'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.0025930490563726475</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'FM'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.1427426360454793</span><span style=\"font-weight: bold\">)</span>\n",
+       "<span style=\"font-weight: bold\">]</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1m[\u001b[0m\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Imax'\u001b[0m, \u001b[1;36m6.9919295474161505\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ce'\u001b[0m, \u001b[1;36m0.44128061023639964\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Sumax'\u001b[0m, \u001b[1;36m183.49045936834898\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Beta'\u001b[0m, \u001b[1;36m1.62907119850059\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Pmax'\u001b[0m, \u001b[1;36m0.5726586861631707\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Tlag'\u001b[0m, \u001b[1;36m5.2154764587256395\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Kf'\u001b[0m, \u001b[1;36m0.06546844116401723\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ks'\u001b[0m, \u001b[1;36m0.0025930490563726475\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'FM'\u001b[0m, \u001b[1;36m1.1427426360454793\u001b[0m\u001b[1m)\u001b[0m\n",
+       "\u001b[1m]\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "results = pd.DataFrame(results)\n",
+    "\n",
+    "print(results[[\"run\", \"NSE\", \"log_NSE\"]])\n",
+    "\n",
+    "# # Best NSE\n",
+    "# best_run_nse = results[\"NSE\"].idxmax()\n",
+    "# best_result_nse = results.loc[best_run_nse]\n",
+    "\n",
+    "# best_parameters_nse = best_result_nse[\"parameters\"]\n",
+    "# best_nse = best_result_nse[\"NSE\"]\n",
+    "\n",
+    "# print(f'Best run: {best_run_nse} with NSE: {best_nse}, with parameters:')\n",
+    "# print(list(zip(parameter_names, best_parameters_nse)))\n",
+    "\n",
+    "# Best log_NSE\n",
+    "best_run_log_nse = results[\"log_NSE\"].idxmax()\n",
+    "best_result_log_nse = results.loc[best_run_log_nse]\n",
+    "\n",
+    "best_parameters_log_nse = best_result_log_nse[\"parameters\"]\n",
+    "best_log_nse = best_result_log_nse[\"log_NSE\"]\n",
+    "\n",
+    "print(f'Best run: {best_run_log_nse} with log_NSE: {best_log_nse}, with parameters:')\n",
+    "print(list(zip(parameter_names, best_parameters_log_nse)))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "bb2f1f27-9a79-41fa-b416-e32bbee15075",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Rank <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>: run <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">451</span> with LNSE: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.5985790718618934</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Rank \u001b[1;36m1\u001b[0m: run \u001b[1;36m451\u001b[0m with LNSE: \u001b[1;36m0.5985790718618934\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">[</span>\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Imax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6.9919295474161505</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ce'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.44128061023639964</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Sumax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">183.49045936834898</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Beta'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.62907119850059</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Pmax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.5726586861631707</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Tlag'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5.2154764587256395</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Kf'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.06546844116401723</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ks'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.0025930490563726475</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'FM'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.1427426360454793</span><span style=\"font-weight: bold\">)</span>\n",
+       "<span style=\"font-weight: bold\">]</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1m[\u001b[0m\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Imax'\u001b[0m, \u001b[1;36m6.9919295474161505\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ce'\u001b[0m, \u001b[1;36m0.44128061023639964\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Sumax'\u001b[0m, \u001b[1;36m183.49045936834898\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Beta'\u001b[0m, \u001b[1;36m1.62907119850059\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Pmax'\u001b[0m, \u001b[1;36m0.5726586861631707\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Tlag'\u001b[0m, \u001b[1;36m5.2154764587256395\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Kf'\u001b[0m, \u001b[1;36m0.06546844116401723\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ks'\u001b[0m, \u001b[1;36m0.0025930490563726475\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'FM'\u001b[0m, \u001b[1;36m1.1427426360454793\u001b[0m\u001b[1m)\u001b[0m\n",
+       "\u001b[1m]\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Rank <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>: run <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">193</span> with LNSE: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.5871245105302814</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Rank \u001b[1;36m2\u001b[0m: run \u001b[1;36m193\u001b[0m with LNSE: \u001b[1;36m0.5871245105302814\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">[</span>\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Imax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5.882658193683639</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ce'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.47241275652770587</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Sumax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">194.30386240959916</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Beta'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.781621276884348</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Pmax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.4608178778064105</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Tlag'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5.215364575839981</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Kf'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.06419932503784231</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ks'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.015979806886031615</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'FM'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.0919722363345776</span><span style=\"font-weight: bold\">)</span>\n",
+       "<span style=\"font-weight: bold\">]</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1m[\u001b[0m\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Imax'\u001b[0m, \u001b[1;36m5.882658193683639\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ce'\u001b[0m, \u001b[1;36m0.47241275652770587\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Sumax'\u001b[0m, \u001b[1;36m194.30386240959916\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Beta'\u001b[0m, \u001b[1;36m1.781621276884348\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Pmax'\u001b[0m, \u001b[1;36m0.4608178778064105\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Tlag'\u001b[0m, \u001b[1;36m5.215364575839981\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Kf'\u001b[0m, \u001b[1;36m0.06419932503784231\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ks'\u001b[0m, \u001b[1;36m0.015979806886031615\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'FM'\u001b[0m, \u001b[1;36m1.0919722363345776\u001b[0m\u001b[1m)\u001b[0m\n",
+       "\u001b[1m]\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Rank <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>: run <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">71</span> with LNSE: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.5802931655594039</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Rank \u001b[1;36m3\u001b[0m: run \u001b[1;36m71\u001b[0m with LNSE: \u001b[1;36m0.5802931655594039\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">[</span>\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Imax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6.279358279165555</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ce'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.45738099679628363</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Sumax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">218.06826364855027</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Beta'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.8389403651683596</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Pmax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.49366891001367486</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Tlag'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6.037707687593043</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Kf'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.07007118899924838</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ks'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.024409700594446738</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'FM'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.2556224532809368</span><span style=\"font-weight: bold\">)</span>\n",
+       "<span style=\"font-weight: bold\">]</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1m[\u001b[0m\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Imax'\u001b[0m, \u001b[1;36m6.279358279165555\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ce'\u001b[0m, \u001b[1;36m0.45738099679628363\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Sumax'\u001b[0m, \u001b[1;36m218.06826364855027\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Beta'\u001b[0m, \u001b[1;36m1.8389403651683596\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Pmax'\u001b[0m, \u001b[1;36m0.49366891001367486\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Tlag'\u001b[0m, \u001b[1;36m6.037707687593043\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Kf'\u001b[0m, \u001b[1;36m0.07007118899924838\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ks'\u001b[0m, \u001b[1;36m0.024409700594446738\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'FM'\u001b[0m, \u001b[1;36m1.2556224532809368\u001b[0m\u001b[1m)\u001b[0m\n",
+       "\u001b[1m]\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Rank <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>: run <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">152</span> with LNSE: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.5697643546613578</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Rank \u001b[1;36m4\u001b[0m: run \u001b[1;36m152\u001b[0m with LNSE: \u001b[1;36m0.5697643546613578\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">[</span>\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Imax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7.301551796430246</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ce'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.49391712556044987</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Sumax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">211.00486173599964</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Beta'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.9612109256650778</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Pmax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.46785716423961</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Tlag'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6.467897643950326</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Kf'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.055226399867357515</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ks'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.03429434734237983</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'FM'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.191697747701756</span><span style=\"font-weight: bold\">)</span>\n",
+       "<span style=\"font-weight: bold\">]</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1m[\u001b[0m\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Imax'\u001b[0m, \u001b[1;36m7.301551796430246\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ce'\u001b[0m, \u001b[1;36m0.49391712556044987\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Sumax'\u001b[0m, \u001b[1;36m211.00486173599964\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Beta'\u001b[0m, \u001b[1;36m1.9612109256650778\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Pmax'\u001b[0m, \u001b[1;36m0.46785716423961\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Tlag'\u001b[0m, \u001b[1;36m6.467897643950326\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Kf'\u001b[0m, \u001b[1;36m0.055226399867357515\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ks'\u001b[0m, \u001b[1;36m0.03429434734237983\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'FM'\u001b[0m, \u001b[1;36m1.191697747701756\u001b[0m\u001b[1m)\u001b[0m\n",
+       "\u001b[1m]\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Rank <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>: run <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">232</span> with LNSE: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.5666729995545778</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Rank \u001b[1;36m5\u001b[0m: run \u001b[1;36m232\u001b[0m with LNSE: \u001b[1;36m0.5666729995545778\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">[</span>\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Imax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6.488362330365561</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ce'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.4845571293512798</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Sumax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">218.83336737778694</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Beta'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.7699130278847444</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Pmax'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.1358146729030282</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Tlag'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5.44235281882723</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Kf'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.04585512368848791</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'Ks'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.008840391568068273</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'FM'</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.8983450417631202</span><span style=\"font-weight: bold\">)</span>\n",
+       "<span style=\"font-weight: bold\">]</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1m[\u001b[0m\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Imax'\u001b[0m, \u001b[1;36m6.488362330365561\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ce'\u001b[0m, \u001b[1;36m0.4845571293512798\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Sumax'\u001b[0m, \u001b[1;36m218.83336737778694\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Beta'\u001b[0m, \u001b[1;36m1.7699130278847444\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Pmax'\u001b[0m, \u001b[1;36m0.1358146729030282\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Tlag'\u001b[0m, \u001b[1;36m5.44235281882723\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Kf'\u001b[0m, \u001b[1;36m0.04585512368848791\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'Ks'\u001b[0m, \u001b[1;36m0.008840391568068273\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[1m(\u001b[0m\u001b[32m'FM'\u001b[0m, \u001b[1;36m0.8983450417631202\u001b[0m\u001b[1m)\u001b[0m\n",
+       "\u001b[1m]\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Get ensemble \n",
+    "\n",
+    "best_5_runs = results[\"log_NSE\"].nlargest(5).index\n",
+    "\n",
+    "best_5_parameters = []\n",
+    "best_5_LNSE = []\n",
+    "\n",
+    "for i in range(len(best_5_runs)):\n",
+    "\n",
+    "    run = best_5_runs[i]\n",
+    "    result = results.loc[run]\n",
+    "\n",
+    "    parameters = result[\"parameters\"]\n",
+    "    lnse = result[\"log_NSE\"]\n",
+    "\n",
+    "    best_5_parameters.append(parameters)\n",
+    "    best_5_LNSE.append(log_nse)\n",
+    "\n",
+    "    print(f\"Rank {i+1}: run {run} with LNSE: {lnse}\")\n",
+    "    print(list(zip(parameter_names, parameters)))\n",
+    "    print()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "127ab139-2d7a-43ad-b012-11188e931c9c",
+   "metadata": {},
+   "source": [
+    "### Plot Observed vs Modelled"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "aeb2ea7e-9826-450f-880e-e1e5e72c9dba",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1400x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Overall Plot\n",
+    "\n",
+    "q_critical = 500\n",
+    "\n",
+    "simulated_calibrated_nse = run_hbv(\n",
+    "    parameters=best_parameters_nse,\n",
+    "    initial_storages=s_0,\n",
+    "    forcing=ERA5_forcing)\n",
+    "\n",
+    "simulated_calibrated_log_nse = run_hbv(\n",
+    "    parameters=best_parameters_log_nse,\n",
+    "    initial_storages=s_0,\n",
+    "    forcing=ERA5_forcing)\n",
+    "\n",
+    "# Align dates\n",
+    "simulated_plot_nse = simulated_calibrated_nse\n",
+    "simulated_plot_log_nse = simulated_calibrated_log_nse\n",
+    "observed_plot = observed_output\n",
+    "\n",
+    "simulated_plot_nse.index = pd.to_datetime(simulated_plot_nse.index).tz_localize(None).normalize()\n",
+    "simulated_plot_log_nse.index = pd.to_datetime(simulated_plot_log_nse.index).tz_localize(None).normalize()\n",
+    "observed_plot.index = pd.to_datetime(observed_plot.index).tz_localize(None).normalize()\n",
+    "\n",
+    "# Combine modelled and observed data\n",
+    "plot_data = pd.DataFrame({\n",
+    "    \"Modelled discharge NSE\": simulated_plot_nse,\n",
+    "    \"Modelled discharge log_NSE\": simulated_plot_log_nse,\n",
+    "    \"Observed discharge\": observed_plot}).dropna()\n",
+    "\n",
+    "# Calculate NSE & log NSE for plotted data\n",
+    "plot_nse = NSE(\n",
+    "    plot_data[\"Modelled discharge NSE\"],\n",
+    "    plot_data[\"Observed discharge\"])\n",
+    "\n",
+    "plot_log_nse = log_NSE(\n",
+    "    plot_data[\"Modelled discharge log_NSE\"],\n",
+    "    plot_data[\"Observed discharge\"])\n",
+    "\n",
+    "# Plot\n",
+    "plt.figure(figsize=(14, 6))\n",
+    "plt.plot(plot_data.index, plot_data[\"Observed discharge\"], label=\"Observed discharge\")\n",
+    "# plt.plot(plot_data.index, plot_data[\"Modelled discharge NSE\"], label=\"Modelled discharge NSE\")\n",
+    "plt.plot(plot_data.index, plot_data[\"Modelled discharge log_NSE\"], label=\"Modelled discharge log_NSE\")\n",
+    "\n",
+    "plt.xlabel(\"Date\")\n",
+    "plt.ylabel(\"Discharge (m³/s)\")\n",
+    "plt.title(f\"Observed vs modelled discharge at 07DA001, NSE = {best_nse:.3f}, log NSE = {best_log_nse:.3f}\")\n",
+    "plt.axhline(y=q_critical, linestyle=\":\", label=f'Critical discharge ({q_critical} m³/s', color='black')\n",
+    "plt.legend()\n",
+    "plt.grid(True)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "e0743eb6-3efd-435c-866f-d0ea2bddfea8",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1400x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot for 1 year\n",
+    "\n",
+    "selected_year = 2015\n",
+    "\n",
+    "plot_data_year = plot_data[plot_data.index.year == selected_year]\n",
+    "\n",
+    "plt.figure(figsize=(14, 6))\n",
+    "\n",
+    "plt.plot(plot_data_year.index,plot_data_year[\"Observed discharge\"],label=\"Observed discharge\")\n",
+    "# plt.plot(plot_data_year.index,plot_data_year[\"Modelled discharge NSE\"],label=\"Modelled discharge NSE\")\n",
+    "plt.plot(plot_data_year.index,plot_data_year[\"Modelled discharge log_NSE\"],label=\"Modelled discharge log_NSE\", color=\"green\")\n",
+    "\n",
+    "plt.axhline(y=q_critical,linestyle=\":\",color=\"black\",label=f\"Critical discharge ({q_critical} m³/s)\")\n",
+    "\n",
+    "plt.xlabel(\"Date\")\n",
+    "plt.ylabel(\"Discharge (m³/s)\")\n",
+    "plt.title(f\"Observed vs modelled discharge at 07DA001 in {selected_year}\")\n",
+    "plt.legend()\n",
+    "plt.grid(True)\n",
+    "plt.show()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Appendix_D_Validation_results_per_year.ipynb b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Appendix_D_Validation_results_per_year.ipynb
new file mode 100644
index 00000000..4acc427e
--- /dev/null
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Appendix_D_Validation_results_per_year.ipynb
@@ -0,0 +1,847 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "648afeb2-160d-44ab-888e-a6bce6114433",
+   "metadata": {},
+   "source": [
+    "# Appendix D: Validation results per year"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4238eded-6718-4915-893c-28b9549355ed",
+   "metadata": {},
+   "source": [
+    "The structure of this notebook is as follows:\n",
+    "\n",
+    "### 1. Startup\n",
+    "### 2. Model Setup\n",
+    "### 3. Running model\n",
+    "### 4. Display Results"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8a3abf9d-a072-425a-a3ae-b3ea2cf7f2ea",
+   "metadata": {},
+   "source": [
+    "## 1. Startup"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "8d58675e-0bb1-4f3b-9500-19e3b46098b2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General python\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\", category=UserWarning)\n",
+    "\n",
+    "import numpy as np\n",
+    "from pathlib import Path\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import xarray as xr\n",
+    "\n",
+    "# Niceties\n",
+    "from rich import print"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "5b3ff9cd-6ea3-4a4e-b8f0-136252ef130b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General eWaterCycle\n",
+    "import ewatercycle\n",
+    "import ewatercycle.models\n",
+    "import ewatercycle.forcing"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "77f19b14-be2c-4a15-ac6e-5195a6909841",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Defining things\n",
+    "\n",
+    "basin_size = 132572\n",
+    "q_critical = 500\n",
+    "\n",
+    "# Choosing time period\n",
+    "\n",
+    "validation_start_yr = 2019\n",
+    "validation_end_yr = 2024\n",
+    "\n",
+    "experiment_start_date = f\"{validation_start_yr}-01-01T00:00:00Z\"\n",
+    "experiment_end_date = f\"{validation_end_yr}-12-31T00:00:00Z\"\n",
+    "\n",
+    "validation_start = f\"{validation_start_yr}-01-01T00:00:00Z\"\n",
+    "validation_end = f\"{validation_end_yr}-12-31T00:00:00Z\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "9cf31d32-6f63-43fb-87be-1cb75655035e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create pathways for ERA 5 forcings\n",
+    "\n",
+    "forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"forcings\" / \"ERA5\" / f\"ERA5-{validation_start_yr}-{validation_end_yr}\"\n",
+    "\n",
+    "discharge_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
+    "\n",
+    "shape_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "\n",
+    "hbv_config = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" /  \"Workyard\" / \"hbv_config\"\n",
+    "hbv_config.mkdir(parents=True, exist_ok=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "fbd77d74-78b7-414b-b793-a750366b8516",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load CSV discharge 07DA001\n",
+    "\n",
+    "q_obs = pd.read_csv(discharge_file, skiprows=1)\n",
+    "q_obs = q_obs[[\"Date\", \"Value\"]].copy()\n",
+    "q_obs[\"Date\"] = pd.to_datetime(q_obs[\"Date\"])\n",
+    "q_obs = q_obs.rename(columns={\"Value\": \"discharge_m3s\"})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "72225e3b-955f-4bdc-912e-fe7c8f8056a1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Define time period\n",
+    "validation_start_date = pd.to_datetime(validation_start.replace(\"Z\", \"\"))\n",
+    "validation_end_date = pd.to_datetime(validation_end.replace(\"Z\", \"\"))\n",
+    "\n",
+    "# Skip 1 year for filling storages\n",
+    "evaluation_start = pd.to_datetime(f\"{validation_start_date.year + 1}-01-01\")\n",
+    "\n",
+    "# Align q_obs to relevant dates\n",
+    "q_obs = q_obs[(q_obs[\"Date\"] >= validation_start_date) & (q_obs[\"Date\"] <= validation_end_date)]\n",
+    "observed_output = pd.Series(data=q_obs[\"discharge_m3s\"].to_numpy(), name=\"Observed discharge\", index=q_obs[\"Date\"])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c77c0de3-bcb2-4c16-9c48-1734033fbb5d",
+   "metadata": {},
+   "source": [
+    "### Generate/Load ERA5 data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "a348803f-8798-4a77-890a-622d46ee816d",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">LumpedMakkinkForcing</span><span style=\"font-weight: bold\">(</span>\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">start_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'2019-01-01T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">end_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'2024-12-31T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">directory</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forci</span>\n",
+       "<span style=\"color: #008000; text-decoration-color: #008000\">ngs/ERA5/ERA5-2019-2024'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">shape</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Shapefile</span>\n",
+       "<span style=\"color: #008000; text-decoration-color: #008000\">s/07DA001_basin.shp'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">filenames</span>=<span style=\"font-weight: bold\">{</span>\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'evspsblpot'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_2019_2024_evspsblpot.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'pr'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_2019_2024_pr.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'rsds'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_2019_2024_rsds.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'tas'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_2019_2024_tas.nc'</span>\n",
+       "    <span style=\"font-weight: bold\">}</span>\n",
+       "<span style=\"font-weight: bold\">)</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1;35mLumpedMakkinkForcing\u001b[0m\u001b[1m(\u001b[0m\n",
+       "    \u001b[33mstart_time\u001b[0m=\u001b[32m'2019-01-01T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mend_time\u001b[0m=\u001b[32m'2024-12-31T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mdirectory\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forci\u001b[0m\n",
+       "\u001b[32mngs/ERA5/ERA5-2019-2024'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mshape\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Shapefile\u001b[0m\n",
+       "\u001b[32ms/07DA001_basin.shp'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mfilenames\u001b[0m=\u001b[1m{\u001b[0m\n",
+       "        \u001b[32m'evspsblpot'\u001b[0m: \u001b[32m'combined_ERA5_2019_2024_evspsblpot.nc'\u001b[0m,\n",
+       "        \u001b[32m'pr'\u001b[0m: \u001b[32m'combined_ERA5_2019_2024_pr.nc'\u001b[0m,\n",
+       "        \u001b[32m'rsds'\u001b[0m: \u001b[32m'combined_ERA5_2019_2024_rsds.nc'\u001b[0m,\n",
+       "        \u001b[32m'tas'\u001b[0m: \u001b[32m'combined_ERA5_2019_2024_tas.nc'\u001b[0m\n",
+       "    \u001b[1m}\u001b[0m\n",
+       "\u001b[1m)\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Generate ERA5 data\n",
+    "# ERA5_forcing = ewatercycle.forcing.sources['LumpedMakkinkForcing'].generate(\n",
+    "#     dataset=\"ERA5\",\n",
+    "#     start_time=experiment_start_date,\n",
+    "#     end_time=experiment_end_date,\n",
+    "#     shape=shape_file,\n",
+    "# )\n",
+    "\n",
+    "# Load data\n",
+    "\n",
+    "ERA5_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=forcing_path_ERA5)\n",
+    "\n",
+    "print(ERA5_forcing)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "081a6035-fa82-4ede-b33f-6e90dd4d8255",
+   "metadata": {},
+   "source": [
+    "### Load parameter sets & initial storages"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "id": "621ec44f-c5e9-4de7-a6fb-6f8d5ebf60a4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load calibration constants\n",
+    "\n",
+    "par_ensemble = [\n",
+    "    [6.279135, 0.4808243, 174.127749, 1.9527195, 0.3305087, 6.19919, 0.0768362, 0.004366398, 0.4076606],\n",
+    "    [7.35776, 0.432509, 192.67085, 1.66088, 0.289296, 5.323766, 0.037268, 0.004399, 1.146504],\n",
+    "    [7.9355, 0.4593, 219.6962, 1.72624, 0.26391, 5.810765, 0.04804, 0.0155065, 0.76857],\n",
+    "    [5.5464, 0.46496, 187.8548, 1.82803, 0.440628, 6.29496, 0.062766, 0.033095, 0.80392],\n",
+    "   [7.23868, 0.47495, 181.82012, 1.8232, 0.4884032, 5.546412, 0.0449439, 0.00231717, 1.25052]]\n",
+    "\n",
+    "\n",
+    "par_names = [\"Imax\",         # Maximum interception storage\n",
+    "               \"Ce\",         # Evaporation correction factor\n",
+    "               \"Sumax\",      # Maximum soil moisture storage\n",
+    "               \"Beta\",       # Soil runoff parameter\n",
+    "               \"Pmax\",       # Maximum percolation rate\n",
+    "               \"Tlag\",       # Time lag\n",
+    "               \"Kf\",         # Fast reservoir recession coefficient\n",
+    "               \"Ks\",         # Slow reservoir recession coefficient\n",
+    "               \"FM\"]          # Snowmelt factor"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "f586d4c6-abaf-407b-9f5d-7346c013e302",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Storages\n",
+    "\n",
+    "#               Si,  Su, Sf, Ss, Sp\n",
+    "s_0 = np.array([0,  100,  0,  5,  0])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2e231c20-f290-41c8-9734-ee6b5088d951",
+   "metadata": {},
+   "source": [
+    "## 2. Model setup"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "id": "93de22e4-b44a-4eef-9655-685bbb4465ca",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def run_hbv(parameters, initial_storages, forcing):\n",
+    "\n",
+    "    # Creating model object\n",
+    "    model = ewatercycle.models.HBV(forcing=forcing)\n",
+    "\n",
+    "    # Creating config file\n",
+    "    config_file, _ = model.setup(\n",
+    "        parameters=parameters,\n",
+    "        initial_storages=initial_storages,\n",
+    "        cfg_dir=hbv_config)\n",
+    "\n",
+    "    # Initialising model\n",
+    "    model.initialize(config_file)\n",
+    "\n",
+    "    # Define & update outputs\n",
+    "    Q_m = []\n",
+    "    time = []\n",
+    "\n",
+    "    while model.time < model.end_time:\n",
+    "        model.update()\n",
+    "        Q_m.append(model.get_value(\"Q\")[0])\n",
+    "        time.append(pd.Timestamp(model.time_as_datetime))\n",
+    "\n",
+    "    model.finalize()\n",
+    "\n",
+    "    # Convert mm/day to m3/s\n",
+    "    model_output_mmday = pd.Series(\n",
+    "        data=Q_m,\n",
+    "        index=time,\n",
+    "        name=\"Modelled discharge\")\n",
+    "\n",
+    "    model_output_m3s = model_output_mmday * basin_size * 1000 / 86400\n",
+    "\n",
+    "    return model_output_m3s"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3d978890-678e-4458-9704-837691c0b69b",
+   "metadata": {},
+   "source": [
+    "## 3. Running model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "id": "7f3b0ee6-5498-403e-9654-b1c9934322f2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def run_hbv_ensemble(par_ensemble, initial_storages, forcing):\n",
+    "\n",
+    "    # Define amount of parameter sets\n",
+    "    N = len(par_ensemble)\n",
+    "    \n",
+    "    # Create dataframe to append data to & add column for observed data\n",
+    "    ensemble_data = pd.DataFrame()\n",
+    "\n",
+    "    for i in range(N):\n",
+    "\n",
+    "        print(f\"Running parameter set {i+1}/{N}\")\n",
+    "\n",
+    "        # Run HBV model for the parameter sets \n",
+    "        simulated = run_hbv(\n",
+    "            parameters=par_ensemble[i],\n",
+    "            initial_storages=initial_storages,\n",
+    "            forcing=forcing)\n",
+    "\n",
+    "        # Filter data by day only, not by day & time to prevent alignment issues\n",
+    "        simulated_daily = simulated\n",
+    "\n",
+    "        simulated_daily.index = pd.to_datetime(simulated_daily.index).tz_localize(None).normalize()\n",
+    "        simulated_daily.name = f\"Set {i+1}\"\n",
+    "         \n",
+    "        # Append new column for every parameter set results\n",
+    "        ensemble_data[f\"Set {i+1}\"] = simulated\n",
+    "\n",
+    "    # Filter observed data by day\n",
+    "    observed_daily = observed_output\n",
+    "    observed_daily.index = pd.to_datetime(observed_daily.index).tz_localize(None).normalize()\n",
+    "\n",
+    "    # Add mean of all sets\n",
+    "    ensemble_data[\"Mean\"] = ensemble_data.mean(axis=1)\n",
+    "    ensemble_data['Observed discharge'] = observed_daily\n",
+    "\n",
+    "    return ensemble_data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "id": "f49a5d8b-2ad6-4f06-b58f-d0ae52a9a8dc",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m1\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m2\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m3\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m4\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Running parameter set <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Running parameter set \u001b[1;36m5\u001b[0m/\u001b[1;36m5\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Set 1</th>\n",
+       "      <th>Set 2</th>\n",
+       "      <th>Set 3</th>\n",
+       "      <th>Set 4</th>\n",
+       "      <th>Set 5</th>\n",
+       "      <th>Mean</th>\n",
+       "      <th>Observed discharge</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2019-01-02</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>213.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-03</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>213.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-04</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>214.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-05</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>214.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-01-06</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>214.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            Set 1  Set 2  Set 3  Set 4  Set 5  Mean  Observed discharge\n",
+       "2019-01-02    0.0    0.0    0.0    0.0    0.0   0.0               213.0\n",
+       "2019-01-03    0.0    0.0    0.0    0.0    0.0   0.0               213.0\n",
+       "2019-01-04    0.0    0.0    0.0    0.0    0.0   0.0               214.0\n",
+       "2019-01-05    0.0    0.0    0.0    0.0    0.0   0.0               214.0\n",
+       "2019-01-06    0.0    0.0    0.0    0.0    0.0   0.0               214.0"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ensemble_data = run_hbv_ensemble(\n",
+    "    par_ensemble=par_ensemble,\n",
+    "    initial_storages=s_0,\n",
+    "    forcing=ERA5_forcing)\n",
+    "\n",
+    "ensemble_data.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "06841a30-01ee-4972-819f-c058e15f94eb",
+   "metadata": {},
+   "source": [
+    "## 4. Display results"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "id": "2c2e229c-6796-4d97-b1c5-ae25ceb1a411",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def plot_ensemble(ensemble_data, plot_start, plot_end):\n",
+    "\n",
+    "    plot_start = pd.to_datetime(plot_start)\n",
+    "    plot_end = pd.to_datetime(plot_end)\n",
+    "\n",
+    "    # Filter data to start & end time\n",
+    "    plot_data = ensemble_data[\n",
+    "        (ensemble_data.index >= plot_start) &\n",
+    "        (ensemble_data.index <= plot_end)].dropna()\n",
+    "\n",
+    "    # Define figure\n",
+    "    plt.figure()\n",
+    "    plt.figure(figsize=(15, 6))\n",
+    "\n",
+    "    # Plot sets, observed data, ensemble mean and axhline, respectively\n",
+    "    for i in range(len(par_ensemble)):\n",
+    "        plt.plot(plot_data.index, plot_data[f\"Set {i+1}\"], color=\"orange\", alpha=0.3, label=\"Parameter sets\" if i == 0 else None)\n",
+    "\n",
+    "    plt.plot(plot_data.index, plot_data[\"Observed discharge\"], label=\"Observed discharge\", linewidth=3)\n",
+    "    plt.plot(plot_data.index, plot_data[\"Mean\"], label=\"Ensemble mean\", linewidth=3)\n",
+    "    plt.axhline(y=q_critical, linestyle=\":\", color=\"black\", label=f\"Critical discharge ({q_critical} m³/s)\")\n",
+    "\n",
+    "    # Extras\n",
+    "    plt.xlabel(\"Date\")\n",
+    "    plt.ylabel(\"Discharge (m³/s)\")\n",
+    "    plt.title(\"Observed vs modelled ensemble discharge at 07DA001\")\n",
+    "    plt.legend()\n",
+    "    plt.grid(True)\n",
+    "\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "id": "2abfb14e-54ee-467e-a096-aeeaa7beea59",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 640x480 with 0 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAABN8AAAIhCAYAAAB+JxzuAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8fJSN1AAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOzdeZxN9f8H8Ndd586+bxg7QzF2QlmyDLKHQpYIhVCUFKJEWb6Uin7ZKqQUJWlCRbIvjX0LYx/D7Nudu53fH9e95px778y9s5jF6/l4zGPmnvs553zumTPjes/7/XnLBEEQQEREREREREREREVOXtITICIiIiIiIiIiKq8YfCMiIiIiIiIiIiomDL4REREREREREREVEwbfiIiIiIiIiIiIigmDb0RERERERERERMWEwTciIiIiIiIiIqJiwuAbERERERERERFRMWHwjYiIiIiIiIiIqJgw+EZERERERERERFRMGHwjIqJS78CBA+jfvz/Cw8OhVqsRFhaGfv36Yf/+/TZjZ82aBZlMhnv37pXATEtW1apVMXz48JKeRokrzHWQyWSYNWuW9fGuXbsgk8mwa9euIpkbAKxZswYymQxxcXFFdsyyaPjw4fDy8nJq7MO6t9u1a4d27dpZH8fFxUEmk2HNmjVFfi5XXn95NHfuXPz0008u7bNhwwY0bNgQGo0GFSpUwKRJk5CRkSEaM3z4cMhkMocfBw4csI5t166ddbtcLoe3tzdq1qyJ/v3744cffoDJZHI4l5MnT0Imk0GlUuH27dsOxx07dgwdO3aEl5cX/Pz80LdvX1y+fNnu2KVLl6JOnTpwc3NDtWrVMHv2bOj1etGYGzduYNKkSWjbti38/PyK7f4kIqKixeAbERGVakuXLkXr1q1x48YNzJ8/Hzt37sTChQtx8+ZNPPnkk/j0009LeopEVE6Fh4dj//79eOaZZ0p6KuWOq8G3devWYeDAgWjWrBl+++03vPvuu1izZg369u0rGjdjxgzs37/f5iMoKAgVK1ZEs2bNROOrV6+O/fv3Y9++ffjpp5/w1ltvITs7G/3790e7du2Qmppqdz4rVqwAABgMBnz99dd2x5w7dw7t2rWDTqfD999/j1WrVuHChQt46qmncPfuXdHYDz74ABMnTkTfvn3x+++/Y+zYsZg7dy7GjRsnGvfff/9h3bp1UKvV6Natm9PXj4iISpaypCdARETkyN69ezFp0iR069YNmzdvhlL54J+t559/Hn369MHEiRPRqFEjtG7dugRnal92djbc3d1LehpEVEBubm544oknSnoahVIefg8ZjUa88cYb6Ny5M7788ksAQPv27eHt7Y3Bgwfjt99+Q9euXQEANWrUQI0aNUT77969G/fu3cP06dOhUChEz7m7u9t8j1966SWsXr0aI0aMwOjRo/Hdd9+Jns/JycG6devQoEED3Lt3D6tWrcLUqVNt5j1z5ky4ublh69at8PHxAQA0adIEtWrVwsKFC/HRRx8BABITEzFnzhyMGjUKc+fOBWDOytPr9Zg+fTomTZqExx57DADQpk0ba+DuyJEj+Pbbb12/oERE9NAx842IiEqtefPmQSaTYdmyZaLAGwAolUp8/vnnkMlk+PDDD232vX79Ovr27QsfHx/4+vrihRdesMk0+PPPP9GuXTsEBgbC3d0dlStXxrPPPousrCzrGJ1Ohzlz5lhLgYKDg/Hiiy/aHKtq1aro3r07Nm3ahEaNGkGj0WD27Nlo1KgRnnrqKZv5GY1GVKxYUZS14ey59Ho93nzzTYSFhcHDwwNPPvkkDh06lO/11Ov1CAkJwZAhQ2yeS0lJgbu7O15//XUAgMlkwpw5cxAZGQl3d3f4+fkhKioKH3/8cZ7nsJRprl+/HlOnTkV4eDi8vLzQo0cP3LlzB+np6Rg9ejSCgoIQFBSEF1980aZsTKvVYtq0aahWrRrUajUqVqyIcePGISUlpcDXIT4+HmPGjEGlSpWgVqutJV0GgyHf62bPkSNH0LNnTwQEBECj0aBRo0b4/vvvbcYdOHAArVu3tpbJTZs2zaaMrLDnsZSx/vXXX3jllVcQFBSEwMBA9O3bF7du3RKNLY57fuvWrWjUqBHc3d1Rt25dbN261TqvunXrwtPTE82bN8eRI0fsvsbTp0+jQ4cO8PT0RHBwMMaPHy+ajyNpaWmYMmWK6D6ZNGkSMjMz891XEATMnz8fVapUgUajQePGjfHbb7/ZjLNXdnr37l2MHj0aERER1uvTunVr7Ny5U7RvTEwMOnToAF9fX3h4eKBu3bqYN2+ezTn+++8/dOvWDV5eXoiIiMDkyZORk5MjGjN79my0aNECAQEB8PHxQePGjbFy5UoIgiAa5+j3EGC+zp07d4aHhweCg4Mxbtw4/Prrr3bLqnfu3IkOHTrAx8cHHh4eaN26Nf744498r6tWq8XkyZPRsGFD+Pr6IiAgAC1btsTPP/8sGieTyZCZmYmvvvrKWvaZu9xX6sCBA7h9+zZefPFF0fb+/fvDy8sLmzdvznNeK1euhEwmw4gRI/J9DRYvvvgiunXrho0bN+Lq1aui53766SckJibipZdewrBhw3DhwgX8888/ojEGgwFbt27Fs88+aw28AUCVKlXQvn170ZxjYmKg1WptXt+LL74IQRBEGYJyOf/7RkRUFjHzjYiISiWj0Yi//voLTZs2RaVKleyOiYiIQJMmTfDnn3/CaDSKMhr69OmDAQMG4OWXX8bp06cxY8YMnDlzBgcPHoRKpUJcXByeeeYZPPXUU1i1ahX8/Pxw8+ZNxMTEQKfTwcPDAyaTCb169cKePXvw5ptvolWrVrh69SreffddtGvXDkeOHBFllBw7dgxnz57F9OnTUa1aNXh6eqJChQqYOHEiLl68iFq1alnHbt++Hbdu3bL+Z8uVc40aNQpff/01pkyZgk6dOuHUqVPo27cv0tPT87ymKpUKL7zwApYvX47PPvtM9B/Cb7/9VvSfv/nz52PWrFmYPn062rRpA71ej3PnztkEwBx5++230b59e6xZswZxcXGYMmUKBg4cCKVSiQYNGuDbb7/Fv//+i7fffhve3t745JNPAJiDIr1798Yff/yBadOm4amnnsKJEyfw7rvvWsvH3NzcXLoO8fHxaN68OeRyOWbOnIkaNWpg//79mDNnDuLi4rB69WqnXpPFX3/9hS5duqBFixZYvnw5fH19sWHDBjz33HPIysqyrk125swZdOjQAVWrVsWaNWvg4eGBzz//HOvXry/S81i89NJLeOaZZ7B+/Xpcv34db7zxBl544QX8+eefAFAs9/zx48cxbdo0vPPOO/D19cXs2bPRt29fTJs2DX/88Qfmzp0LmUyGqVOnonv37rhy5Ypof71ej27dumHMmDF46623sG/fPsyZMwdXr17FL7/84vDaZGVloW3btrhx4wbefvttREVF4fTp05g5cyZOnjyJnTt3QiaTOdx/9uzZmD17NkaOHIl+/frh+vXrGDVqFIxGIyIjI/P8vgwZMgTHjh3DBx98gNq1ayMlJQXHjh1DYmKidczKlSsxatQotG3bFsuXL0dISAguXLiAU6dOiY6l1+vRs2dPjBw5EpMnT8bff/+N999/H76+vpg5c6Z1XFxcHMaMGYPKlSsDMAejXn31Vdy8eVM0DrD/e+j27dto27YtPD09sWzZMoSEhODbb7/F+PHjbV7f2rVrMXToUPTq1QtfffUVVCoVvvjiC0RHR+P3339Hhw4dHF6bnJwcJCUlYcqUKahYsSJ0Oh127tyJvn37YvXq1Rg6dCgAYP/+/Xj66afRvn17zJgxAwBEv4+kLNctKipKtF2lUqFOnTo21zW31NRU/PDDD+jQoQOqVavmcJw9PXv2xLZt27Bnzx5UqVLFun3lypVwc3PD4MGDkZSUhHnz5mHlypV48sknrWMuXbqE7OxsmzlbXseOHTug1Wqh0Wis869fv75oXHh4OIKCgvJ8fUREVEYIREREpVB8fLwAQHj++efzHPfcc88JAIQ7d+4IgiAI7777rgBAeO2110Tj1q1bJwAQ1q5dKwiCIPzwww8CACE2Ntbhsb/99lsBgPDjjz+Kth8+fFgAIHz++efWbVWqVBEUCoVw/vx50dh79+4JarVaePvtt0XbBwwYIISGhgp6vd6lc509ezbP1zds2DCHr0cQBOHEiRMCAOH//u//RNubN28uNGnSxPq4e/fuQsOGDfM8lj1//fWXAEDo0aOHaPukSZMEAMKECRNE23v37i0EBARYH8fExAgAhPnz54vGfffdd6J5u3IdxowZI3h5eQlXr14VjV24cKEAQDh9+rR1GwDh3XfftXk9f/31l3VbnTp1hEaNGlm/dxbdu3cXwsPDBaPRKAiC+d50d3cX4uPjrWMMBoNQp04dAYBw5coVIS/Onmf16tUCAGHs2LGicfPnzxcACLdv3xYEoXjueXd3d+HGjRvWbbGxsQIAITw8XMjMzLRu/+mnnwQAwpYtW6zbhg0bJgAQPv74Y9G5PvjgAwGA8M8//4jOlft7Om/ePEEulwuHDx8W7Wt5jdu2bXP4GpOTkwWNRiP06dNHtH3v3r0CAKFt27bWbVeuXBEACKtXr7Zu8/LyEiZNmuTw+Onp6YKPj4/w5JNPCiaTyeE4y+v//vvvRdu7desmREZGOtzPaDQKer1eeO+994TAwEDRORz9HnrjjTcEmUwmutcFQRCio6NF93dmZqYQEBBg8/NrNBqFBg0aCM2bN3c4L3sMBoOg1+uFkSNHCo0aNRI95+npme/vKwvLPWG5l3Pr3LmzULt2bYf7Llu2TAAgfPvttzbPtW3bVnj88ccd7vvbb78JAISPPvrIui0uLk6Qy+Wif5vatm0reHp6CmlpadZtlvvJ3nnnzp0rABBu3bolCIIgjBo1SnBzc7M7h9q1awudO3e2+5zl5zL3/UlERKUT85aJiKhME+6XXUmzXAYPHix6PGDAACiVSvz1118AgIYNG0KtVmP06NH46quv7Haf27p1K/z8/NCjRw8YDAbrR8OGDREWFmZTqhUVFYXatWuLtgUGBqJHjx746quvrJ3zkpOT8fPPP2Po0KHWclpnz2WZv6PXl5/69eujSZMmomyvs2fP4tChQ6KSrObNm+P48eMYO3Ysfv/9d6SlpeV77Ny6d+8uely3bl0AsFm4vm7dukhKSrKWnlqytKRZXf3794enp6e19M2V67B161a0b98eFSpUEF1byxpRu3fvdvp1/ffffzh37pz1vLmP161bN9y+fRvnz5+3zrFDhw4IDQ217q9QKPDcc88V6XksevbsKXpsybixlMwVxz3fsGFDVKxY0frY8n1u164dPDw8bLZLy/cA2+/hoEGDADz4HtuzdetW1KtXDw0bNhTNMzo6Ot/utPv374dWq7U5b6tWrUTZTY40b94ca9aswZw5c3DgwAGbMuJ9+/YhLS0NY8eOzTP7DjD/3urRo4doW1RUlM11+vPPP9GxY0f4+vpCoVBApVJh5syZSExMREJCgs3+0t9Du3fvRr169azrhlkMHDjQZu5JSUkYNmyY6LqaTCZ06dIFhw8fzresd+PGjWjdujW8vLygVCqhUqmwcuVKnD17Ns/9nOHoeuZ1nVeuXInAwED06dPH5fMJkrJeAFi9ejVMJpPo9+WIESOQmZlpszZcfnPL/Zyz44iIqGxi8I2IiEqloKAgeHh44MqVK3mOi4uLg4eHBwICAkTbw8LCRI+VSiUCAwOtpWE1atTAzp07ERISgnHjxlkX6c69ptmdO3eQkpICtVoNlUol+oiPj8e9e/dE5wgPD7c7xxEjRuDmzZvYsWMHAHOJZ05OjijA5Oy5LPN39PqcMWLECOzfvx/nzp0DYP7PpJubm+g/4tOmTcPChQtx4MABdO3aFYGBgejQoYPDdbukpN8PtVqd53atVmt9fUqlEsHBwaJxMpkMYWFh1tfvynW4c+cOfvnlF5vr+vjjjwOAzfcxL3fu3AEATJkyxeZ4Y8eOFR0vMTHRZn725lzY81hIX7elPDc7OxtA8dzzBf0+W9j7flmuT+4yTnvX58SJEzZz9Pb2hiAIeX5PHd07jrZJfffddxg2bBhWrFiBli1bIiAgAEOHDkV8fDwAWNfGc1Qun5uHhwc0Go1om5ubm+g6HTp0CJ07dwYAfPnll9i7dy8OHz6Md955B8CD76+Fvd9DiYmJoiCwhXSb5b7r16+fzbX96KOPIAgCkpKSHL6eTZs2YcCAAahYsSLWrl2L/fv34/DhwxgxYoTN994VlnvE3j2RlJRkc79ZnDhxAkeOHMELL7xg/XlwhSUIWqFCBQDm5QHWrFmDChUqoEmTJkhJSUFKSgo6duwIT09PrFy50uk5y2Qy+Pn5WcdqtVq7ax3m9fqIiKjs4JpvRERUKikUCrRv3x4xMTG4ceOG3f/I3rhxA0ePHkXXrl1tOtjFx8eLMnIMBgMSExNF/9F/6qmn8NRTT8FoNOLIkSNYunQpJk2ahNDQUDz//PPWhetjYmLsztHb21v02FF2QnR0NCpUqIDVq1cjOjoaq1evRosWLURZKM6eyzJ/R6/PGQMHDsTrr7+ONWvW4IMPPsA333yD3r17w9/f3zpGqVTi9ddfx+uvv46UlBTs3LkTb7/9NqKjo3H9+nVRVlNRCgwMhMFgwN27d0UBOEEQEB8fj2bNmlnHAc5dh6CgIERFReGDDz6we07Lf6ydERQUBMAcnMzdLCM3y5phgYGB1oBMbva2FeY8rijqe76w7P1cWq5PXsHkoKAguLu7Y9WqVQ6fdyT3vSMVHx+PqlWr5jnnoKAgLFmyBEuWLMG1a9ewZcsWvPXWW0hISEBMTIz1vr1x40aex3HWhg0boFKpsHXrVlGgLvci/LnZ+z0UGBhoDazlJr0Gluu2dOlSh11e7QXxLNauXYtq1arhu+++E81D2kDCVZa10E6ePCn6vWkwGHDu3DmbDD4LSzDspZdeKtB5t2zZAplMhjZt2gAwN6KwBOTs3Z8HDhzAmTNn8Nhjj6FGjRpwd3fHyZMnbcadPHkSNWvWtH4/c7++Fi1aWMdZAt716tUr0PyJiKj0YPCNiIhKrWnTpuG3337D2LFjsXnzZlGAzWg04pVXXoEgCJg2bZrNvuvWrUOTJk2sj7///nsYDAa7HfUUCgVatGiBOnXqYN26dTh27Bief/55dO/eHRs2bIDRaBT9h8hVCoUCQ4YMwZIlS7Bnzx4cOXIEX3zxhWiMs+eyzN/R63OGv78/evfuja+//hotW7ZEfHx8nl0A/fz80K9fP9y8eROTJk1CXFycTflaUenQoQPmz5+PtWvX4rXXXrNu//HHH5GZmWld7N2V69C9e3ds27YNNWrUEAUYCyIyMhK1atXC8ePHMXfu3DzHtm/fHlu2bMGdO3esAQuj0Wi3NK0w5ymI4r7nXbFu3TpMmDDB+tjSkCKv7pfdu3fH3LlzERgY6PIi+k888QQ0Gg3WrVuHZ5991rp93759uHr1ar7Bt9wqV66M8ePH448//sDevXsBmMtXfX19sXz5cjz//POFLhmUyWRQKpWi33/Z2dn45ptvnD5G27ZtsXDhQmtgyGLDhg2ica1bt4afnx/OnDljtxmDM3NVq9Wi1xwfH2/T7RQwZ/hJs/YcadGiBcLDw7FmzRpR2fYPP/yAjIwMuwHqnJwcrF27Fs2bNy9Q8Gr16tX47bffMGjQIGuji5UrV0Iul2PTpk3w9fUVjb9x4waGDBmCVatWYeHChVAqlejRowc2bdqE+fPnWwPX165dw19//SX6/dalSxdoNBqsWbNG9HNn6WTcu3dvl+dPRESlC4NvRERUarVu3RpLlizBpEmT8OSTT2L8+PGoXLkyrl27hs8++wwHDx7EkiVL0KpVK5t9N23aBKVSiU6dOlm7nTZo0AADBgwAACxfvhx//vknnnnmGVSuXBlardaaRdOxY0cAwPPPP49169ahW7dumDhxIpo3bw6VSoUbN27gr7/+Qq9evZxeR2jEiBH46KOPMGjQILi7u9us++XsuerWrYsXXngBS5YsgUqlQseOHXHq1CksXLgwz26B9ubz3XffYfz48ahUqZL1NVv06NED9erVQ9OmTREcHIyrV69iyZIlqFKliqhra1Hr1KkToqOjMXXqVKSlpaF169bWbqeNGjXCkCFDAMCl6/Dee+9hx44daNWqFSZMmIDIyEhotVrExcVh27ZtWL58uVMlghZffPEFunbtiujoaAwfPhwVK1ZEUlISzp49i2PHjmHjxo0AgOnTp2PLli14+umnMXPmTHh4eOCzzz7Ld80sV8/jrId9zztDrVZj0aJFyMjIQLNmzazdTrt27SrqHCk1adIk/Pjjj2jTpg1ee+01REVFwWQy4dq1a9i+fTsmT57sMHjo7++PKVOmYM6cOXjppZfQv39/XL9+HbNmzcq37DQ1NRXt27fHoEGDUKdOHXh7e+Pw4cOIiYmxBoC8vLywaNEivPTSS+jYsSNGjRqF0NBQ/Pfffzh+/Dg+/fRTl67RM888g//9738YNGgQRo8ejcTERCxcuNClMspJkyZh1apV6Nq1K9577z2EhoZi/fr11tJzuVxunfvSpUsxbNgwJCUloV+/fggJCcHdu3dx/Phx3L17F8uWLXN4nu7du2PTpk0YO3astYvs+++/j/DwcFy8eFE0tn79+ti1axd++eUXhIeHw9vb22E2p0KhwPz58zFkyBCMGTMGAwcOxMWLF/Hmm2+iU6dO6NKli80+P/30E5KSkvLNesvOzsaBAwesX1++fBk//fQTtm7dau1WC5jLR3/++WdER0ejV69edo+1ePFifP3115g3bx5UKhVmz56NZs2aoXv37njrrbeg1Woxc+ZMBAUFYfLkydb9AgICMH36dMyYMQMBAQHo3LkzDh8+jFmzZuGll16y+WPHDz/8AADWdRuPHDkCLy8vAOaSYSIiKoVKstsDERGRM/bv3y/069dPCA0NFZRKpRASEiL07dtX2Ldvn81YS7fTo0ePCj169BC8vLwEb29vYeDAgdaOqJZj9unTR6hSpYrg5uYmBAYGCm3bthV1YxQEQdDr9cLChQuFBg0aCBqNRvDy8hLq1KkjjBkzRrh48aJ1XJUqVYRnnnkmz9fRqlUrAYAwePBgu887e66cnBxh8uTJQkhIiKDRaIQnnnhC2L9/v01HyLwYjUYhIiJCACC88847Ns8vWrRIaNWqlRAUFCSo1WqhcuXKwsiRI4W4uLg8j2vpDrpx40bRdktHTml3Ssv36+7du9Zt2dnZwtSpU4UqVaoIKpVKCA8PF1555RUhOTlZtK8r1+Hu3bvChAkThGrVqgkqlUoICAgQmjRpIrzzzjtCRkaGdRyc6HYqCIJw/PhxYcCAAUJISIigUqmEsLAw4emnnxaWL18uGrd3717hiSeeENzc3ISwsDDhjTfeEP7v//7PqW6nzp7H0bWVzv1h3fMAhHHjxom2WbqGLliwwLpt2LBhgqenp3DixAmhXbt2gru7uxAQECC88sorou+J5VzS72lGRoYwffp0ITIyUlCr1YKvr69Qv3594bXXXhN1mLXHZDIJ8+bNEyIiIgS1Wi1ERUUJv/zyi9C2bds8u51qtVrh5ZdfFqKiogQfHx/B3d1diIyMFN59911Rd1dBEIRt27ZZu2B6eHgIjz32mKhrpuX1S1l+JnJbtWqVEBkZKbi5uQnVq1cX5s2bJ6xcudLmPsrr99CpU6eEjh07ChqNRggICBBGjhwpfPXVVwIA4fjx46Kxu3fvFp555hkhICBAUKlUQsWKFYVnnnnG5ufang8//FCoWrWq4ObmJtStW1f48ssv7b6m2NhYoXXr1oKHh4dNl1lH1q9fL0RFRQlqtVoICwsTJkyYIKSnp9sd26lTJ5sOpFJt27YVAFg/PD09herVqwv9+vUTNm7caO0oLAiCsGTJEgGA8NNPPzk83vLly226BR85ckTo0KGD4OHhIfj4+Ai9e/cW/vvvP7v7f/zxx0Lt2rWtv3PfffddQafT2YzLPWfpBxERlU4yQbDTxoeIiIiIiMq10aNH49tvv0ViYqK1KQYREREVPZadEhERERGVc++99x4qVKiA6tWrIyMjA1u3bsWKFSswffp0Bt6IiIiKGYNvRERERETlnEqlwoIFC3Djxg0YDAbUqlUL//vf/zBx4sSSnhoREVG5x7JTIiIiIiIiIiKiYiIv6QkQERERERERERGVVwy+ERERERERERERFRMG34iIiIiIiIiIiIoJGy44yWQy4datW/D29oZMJivp6RARERERERERUQkRBAHp6emoUKEC5PK8c9sYfHPSrVu3EBERUdLTICIiIiIiIiKiUuL69euoVKlSnmMYfHOSt7c3APNF9fHxKeHZFA29Xo/t27ejc+fOUKlUJT0donzxnqWyjvcwlXW8h6m84L1MZR3vYSrLysv9m5aWhoiICGu8KC8MvjnJUmrq4+NTroJvHh4e8PHxKdM3PD06eM9SWcd7mMo63sNUXvBeprKO9zCVZeXt/nVmaTI2XCAiIiIiIiIiIiomDL4REREREREREREVEwbfiIiIiIiIiIiIignXfCMiIiIiIiIqJEEQYDAYYDQai/1cer0eSqUSWq32oZyPqCiVpftXpVJBoVAU+jgMvhEREREREREVgk6nw+3bt5GVlfVQzicIAsLCwnD9+nWnFnsnKk3K0v0rk8lQqVIleHl5Feo4DL4RERERERERFZDJZMKVK1egUChQoUIFqNXqYg8omEwmZGRkwMvLC3I5V5OisqWs3L+CIODu3bu4ceMGatWqVagMOAbfiIiIiIiIiApIp9PBZDIhIiICHh4eD+WcJpMJOp0OGo2mVAcviOwpS/dvcHAw4uLioNfrCxV8K92vkoiIiIiIiKgMKO1BBCJyXVFlsfK3AxERERERERERUTFh8I2IiIiIiIiIiKiYMPhGRERERERERERUTBh8IyIiIiIiInoEDR8+HDKZDDKZDCqVCtWrV8eUKVOQmZlZ0lMrsKpVq2LJkiUlPQ274uLiIJPJEBsbW9JToYeM3U6JiIiIiIiIHlFdunTB6tWrodfrsWfPHrz00kvIzMzEsmXLXD6WIAgwGo1QKst+qEGn00GtVpf0NKicYOYbERERERERUVEzGYv3Q3Cw3UVubm4ICwtDREQEBg0ahMGDB+Onn34CAKxduxZNmzaFt7c3wsLCMGjQICQkJFj33bVrF2QyGX7//Xc0bdoUbm5u2LNnDy5duoRevXohNDQUXl5eaNasGXbu3Ck6b9WqVTFnzhwMHToUXl5eqFKlCn7++WfcvXsXvXr1gpeXF+rXr48jR46I9tu3bx/atGkDd3d3REREYMKECdZMvXbt2uHq1at47bXXrBl9zuyXez7Dhw+Hr68vRo0aZfd6/fDDD6hfvz7c3d0RGBiIjh07io6zevVq1K1bFxqNBnXq1MHnn39ufa5atWoAgEaNGkEmk6Fdu3bW69i8eXN4enrCz88PrVu3xtWrV539FlIZUPbD0URERERERESlickI3NpWfMcXTFBmZQEZHoBMklNToRsgVxT40O7u7tDr9QDM2V/vv/8+IiMjkZCQgNdeew3Dhw/Htm3i1/bmm29i4cKFqF69Ovz8/HDjxg1069YNc+bMgUajwVdffYUePXrg/PnzqFy5snW/xYsXY+7cuZgxYwYWL16MIUOGoHXr1hgxYgQWLFiAqVOnYujQoTh9+jRkMhlOnjyJ6OhovP/++1i5ciXu3r2L8ePHY/z48Vi9ejU2bdqEBg0aYPTo0aLgWX77WSxYsAAzZszA9OnT7V6b27dvY+DAgZg/fz769OmD9PR07NmzB4IgAAC+/PJLvPvuu/j000/RqFEj/Pvvvxg1ahQ8PT0xbNgwHDp0CM2bN8fOnTvx+OOPQ61Ww2AwoHfv3hg1ahS+/fZb6HQ6HDp0SBQ4pLKPwTciIiIiIiIiwqFDh7B+/Xp06NABADBixAjrc9WrV8cnn3yC5s2bIyMjA15eXtbn3nvvPXTq1Mn6ODAwEA0aNLA+njNnDjZv3owtW7Zg/Pjx1u3dunXDmDFjAAAzZ87EsmXL0KxZM/Tv3x8AMHXqVLRs2RJ37txBWFgYFixYgEGDBmHSpEkAgFq1auGTTz5B27ZtsWzZMgQEBEChUFgz9Szy20+j0QAAnn76aUyZMsXh9bl9+zYMBgP69u2LKlWqAADq169vff7999/HokWL0LdvXwDmTLczZ87giy++wLBhwxAcHGy9Ppb5JSUlITU1Fd27d0eNGjUAAHXr1nU4ByqbGHwjIiIiKiqCAOhTAJWvbSYCERE9OuQKcwZacTGZYEhPA7x9ALnk3xsXs962bt0KLy8vGAwG6PV69OrVC0uXLgUA/Pvvv5g1axZiY2ORlJQEk8kEALh27Roee+wx6zGaNm0qOmZmZiZmz56NrVu34tatWzAYDMjOzsa1a9dE46Kioqxfh4aGAhAHsyzbEhISEBYWhqNHj+K///7DunXrrGMEQYDJZMKVK1ccBq2c3U/6OqQaNGiADh06oH79+oiOjkbnzp3Rr18/+Pv74+7du7h+/TpGjhwpyrozGAzw9fV1eMyAgAAMHz4c0dHR6NSpEzp27IgBAwYgPDw8z7lQ2cLgGxEREVFREAQg+V8g6ybgXRPw5V+tiYgeaYUo/cyfDJApzOeQBt9c1L59eyxbtgwqlQoVKlSASqUCYA6gde7cGZ07d8batWsRHByMa9euITo6GjqdTnQMT09P0eM33ngDv//+OxYuXIiaNWvC3d0d/fr1s9nPci4A1jJLe9ssQT+TyYQxY8ZgwoQJNq8jdzmrlLP7SV+HlEKhwI4dO7Bv3z5s374dS5cuxTvvvIODBw/Cw8MDgLn0tEWLFjb75WX16tWYMGECYmJi8N1332H69OnYsWMHnnjiiTz3o7KDwTciIiKiopBy0hx4A4CceyU7FyIiIid5enqiZs2aNtvPnTuHe/fu4cMPP0RERAQA2DQ/cGTPnj0YPnw4+vTpAwDIyMhAXFxcoefauHFjnD592u58LdRqNYxGceMJZ/ZzlkwmQ+vWrdG6dWvMnDkTVapUwebNm/H666+jYsWKuHz5MgYPHuxwbgBs5geYmzA0atQI06ZNQ8uWLbF+/XoG38oR1kMQERERFVbqGSAzV1cyfRogmEpuPkRERIVUuXJlqNVqLF26FJcvX8aWLVvw/vvvO7VvzZo1sWnTJsTGxuL48eMYNGiQNXutMKZOnYr9+/dj3LhxiI2NxcWLF7Flyxa8+uqr1jFVq1bF33//jZs3b+LevXtO7+eMgwcPYu7cuThy5AiuXbuGTZs24e7du9ay1VmzZmHevHn4+OOPceHCBZw8eRKrV6/G//73PwBASEgI3N3dERMTgzt37iA1NRVXrlzBtGnTsH//fly9ehXbt2/HhQsXuO5bOcPgGxEREVFhaO8C6ZfMX/s3AORqc+BNn1ay8yIiIiqE4OBgrFmzBhs3bsRjjz2GDz/8EAsXLnRq38WLF8Pf3x+tWrVCjx49EB0djcaNGxd6TlFRUdi9ezcuXryIp556Co0aNcKMGTNE66O99957iIuLQ40aNawNDpzZzxk+Pj74+++/0a1bN9SuXRvTp0/HokWL0LVrVwDASy+9hBUrVmDNmjWoX78+2rZtizVr1qBatWoAAKVSiU8++QRffPEFKlSogF69esHDwwPnzp3Ds88+i9q1a2P06NEYP368tREFlQ8ywdITl/KUlpYGX19fpKamwsfHp6SnUyT0ej22bduGbt26ierqiUor3rNU1vEeLqfSLgBp5wGPikBAY+DeAXNAzq8+4FW1pGdXpHgPU3nBe5mKklarxZUrV1CtWjVr18ziZjKZkJaWBh8fH8gLueYb0cNWlu7fvH6+XYkTle5XSURERFTaGTLMn1X333Sp/Myf9SklMRsiIiIiKmUYfCMiIiIqDEvwTell/qz2M3/WpZbIdIiIiIiodGHwjYiIiKigBAHQWzLfvM2fLcE3Qzpgsu1m9igTBAEHLyfi32vJJT0VIiIioodGWdITICIiIiqzjFpAMAIyOaBwN29TaMwfRi2gTwXcAkp2jqXIGz+cwA9HbwAAxrargTe71CnhGREREREVP2a+ERERERWUteTUwxyAs7Bkv3HdN6t7GTn48dgN6+M1++KgN5pKcEZEREREDweDb0REREQFJV3vzcLSdEGX8jBnU6rdTtFCEB48ztIZkZatL7kJERERET0kDL4RERERFZSj4Ju16ULKw5xNqZacpbPZlq41lMBMiIiIiB4uBt+IiIiICkrvKPPN1/zZkAmYmN0FMPhGREREjy4G34iIiIgKypL5ppIE3xRq8zpwALPf7kvJsg1CpucwMElERETlH4NvRERERAVhMpg7mgK2mW9ArqYLqQ9tSqUZM9+IiMq2qlWrYsmSJSU9jSJTkNczfPhw9O7d2/q4Xbt2mDRpUqHnEhcXB5lMhtjY2EIfi0onBt+IiIiICsKS9aZwA+Qq2+eV3vfHZT68OZVidjPfGHwjIipx169fx8iRI1GhQgWo1WpUqVIFEydORGJiYklPrdTbtGkT3n///ZKeBpUBypKeABEREVGZ5KjZgoXC3fzZmP1w5lPKJWXaZr5laFl2SkTlj8kk2M32LdpzmJCepYdengO53Danxt9DDblclu9xLl++jJYtW6J27dr49ttvUa1aNZw+fRpvvPEGfvvtNxw4cAABAQHF8RLyZTQaIZPJ7L6+0qKkro2zdDod1Gp1SU+DwOAbERERUcE4arZgYVnzzZD1cOZTyrHslIgeFclZOjSZs7NE53B0ekcEernlO27cuHFQq9XYvn073N3NfzSqXLkyGjVqhBo1auCdd97BsmXLrOPT09MxaNAgbNmyBT4+Ppg2bRpeffVV6/OzZs3CqlWrcOfOHQQGBqJfv3745JNPAJgDQdOnT8e6deuQkpKCevXq4aOPPkK7du0AAGvWrMGkSZOwdu1avPnmm7hw4QI+++wzTJw4EfHx8fDz87OeZ8KECTh+/Dh2794NANi3bx/eeustHD58GEFBQejTpw/mzZsHT09PAEBCQgJGjhyJnTt3IiwsDHPmzMn32hiNRrzxxhtYtWoVFAoFRo4cCUEQRGPatWuHhg0bWstXP//8cyxevBjXr1+Hr68vnnrqKfzwww8AzAHTBQsW4Msvv8T169cRGhqKMWPG4J133rEe7/Lly3jttddw8OBB1KpVC8uXL0fLli0BAImJiRg/fjz27NmDpKQk1KhRA2+//TYGDhwomk+9evWgVqvx9ddf4/HHH8fu3buxZcsWTJ48GTdu3MATTzyB4cOHY/jw4UhOTrZe1/yuIRVO6Q0hExEREZVmjpotWCjuB9+M2YDkzfqjyH7DBQbfiIhKSlJSEn7//XeMHTvWGnizCAsLw+DBg/Hdd9+JAk4LFixAVFQUjh07hmnTpuG1117Djh07AAA//PADFi9ejC+++AIXL17ETz/9hPr161v3ffHFF7F3715s2LABJ06cQP/+/dGlSxdcvHjROiYrKwvz5s3DihUrcPr0abzwwgvw8/PDjz/+aB1jNBrx/fffY/DgwQCAkydPIjo6Gn379sWJEyfw3Xff4Z9//sH48eOt+wwfPhxxcXH4888/8cMPP+Dzzz9HQkJCntdn0aJFWLVqFVauXIl//vkHSUlJ2Lx5s8PxR44cwYQJE/Dee+/h/PnziImJQZs2bazPT5s2DR999BFmzJiBM2fOYP369QgNDRUd45133sGUKVMQGxuL2rVrY+DAgTAYzP9WarVaNGnSBFu3bsWpU6cwevRoDBkyBAcPHhQd46uvvoJSqcTevXvxxRdfIC4uDv369UPv3r0RGxtrE/Bz9hpS4TDzjYiIiKgg8i071QAyGSCYAFOO+fEjzH7mG8tOiYhKysWLFyEIAurWrWv3+bp16yI5ORl3795FSEgIAKB169Z46623AAC1a9fG3r17sXjxYnTq1AnXrl1DWFgYOnbsCJVKhcqVK6N58+YAgEuXLuHbb7/FjRs3UKFCBQDAlClTEBMTg9WrV2Pu3LkAAL1ej88//xwNGjSwzuO5557D+vXrMXLkSADAH3/8geTkZPTv3x+AOSA4aNAga+ODWrVq4ZNPPkHbtm2xbNkyXLt2zVpC26JFCwDAypUrHb5uiyVLlmDatGl49tlnAQDLly/H77//7nD8tWvX4Onpie7du8Pb2xtVqlRBo0aNAJgzBj/++GN8+umnGDZsGACgRo0aePLJJ0XHmDJlCp555hkAwOzZs/H444/jv//+Q506dVCxYkVMmTLFOvbVV19FTEwMNm7caH1dAFCzZk3Mnz/f+vitt95CZGQkFixYAACIjIzEqVOn8MEHH1jH5HcNNZpH+z1MUWDmGxEREZGrBOFBIwVHwTeZ7MG6byw9ZcMFIqIyxpLxJpM9WDvOUgKZ+/HZs2cBAP3790d2djaqV6+OUaNGYfPmzdasrWPHjkEQBNSuXRteXl7Wj927d+PSpUvW46nVakRFRYnOMXjwYOzatQu3bt0CAKxbtw7dunWDv78/AODo0aNYs2aN6LjR0dEwmUy4cuUKzp49C6VSiaZNm1qPWadOHVEZq1Rqaipu374ter3SY0h16tQJVapUQfXq1TFkyBCsW7cOWVnmf//Pnj2LnJwcdOjQweH+AESvPTw8HACsGXpGoxEffPABoqKiEBgYCC8vL2zfvh3Xrl0THUM6x/Pnz6NZs2aibZagqEV+15AKj5lvRERERK4yZpkz2mTyBwE2exTu5sDbI950QWcwIcNOiSmDb0RUHvl7qHF0esdiPYfJZEJ6Rga8vbwcNlzIT82aNSGTyXDmzBn07t3b5vlz587B398fQUFBeR7HEpyLiIjA+fPnsWPHDuzcuRNjx47FggULsHv3bphMJigUChw9ehQKhUK0v5fXgz9iubu7i4J9gDlQVKNGDWzYsAGvvPIKNm/ejNWrV4uuxZgxYzBhwgSbuVWuXBnnz58XzbO4eHt749ixY9i1axe2b9+OmTNnYtasWTh8+LBNWa8jKtWD7umW+ZpMJgDmMtjFixdjyZIlqF+/Pjw9PTFp0iTodOLMcukabYIg2Lx26dp1+V1DKjwG34iIiIhclTvrLa8380oPICfxkc98S8m23/WPZadEVB7J5TKnmh0UhslkgsqUAx8vtwJ3Aw0MDESnTp3w+eef47XXXhMFiOLj47Fu3ToMHTpUFLg5cOCA6BgHDhxAnTp1rI/d3d3Rs2dP9OzZE+PGjUOdOnVw8uRJNGrUCEajEQkJCXjqqadcnuugQYOwbt06VKpUCXK53FqaCQCNGzfG6dOnUbNmTbv71q1bFwaDAUeOHLFmfJ0/fx4pKSkOz+fr64vw8HAcOHDAum6bwWDA0aNH0bhxY4f7KZVKdOzYER07dsS7774LPz8//Pnnn+jWrRvc3d3xxx9/4KWXXnL59QPAnj170KtXL7zwwgsAzPfAxYsX8y2frVOnDrZt2ybaduTIEdHj/K4hFR7LTomIiIhcZQmmWTqaOmJtuvCIB9/slJwCzHwjIippn376KXJychAdHY2///4b169fR0xMDDp16oSKFSuK1gUDgL1792L+/PnWTqQbN27ExIkTAZi7la5cuRKnTp3C5cuX8c0338Dd3R1VqlRB7dq1MXjwYAwdOhSbNm3ClStXcPjwYXz00Uc2gSF7Bg8ejGPHjuGDDz5Av379RGuQTZ06Ffv378e4ceMQGxuLixcvYsuWLdYurJGRkejSpQtGjRqFgwcP4ujRo3jppZfyzUabOHEiPvzwQ2zevBnnzp3D2LFj8wzYbd26FZ988gliY2Nx9epVfP311zCZTIiMjIRGo8HUqVPx5ptv4uuvv8alS5dw4MABrFy5Mt/XblGzZk3s2LED+/btw9mzZzFmzBjEx8fnu9+YMWNw7tw5TJ06FRcuXMD333+PNWvWAHiQXZffNaTCY/CNiIiIyFWWYJoin+CbJTj3iGe+JWXaz3yzV4pKREQPT61atXDkyBHUqFEDzz33HGrUqIHRo0ejffv22L9/PwICAkTjJ0+ejKNHj6JRo0Z4//33sWjRIkRHRwMA/Pz88OWXX6J169aIiorCH3/8gV9++QWBgYEAgNWrV2Po0KGYPHkyIiMj0bNnTxw8eBARERFOzbNZs2Y4ceKEtcupRVRUFHbv3o2LFy/iqaeeQqNGjTBjxgzrmmmWc0dERKBt27bo27cvRo8ebW0i4cjkyZMxdOhQDB8+HC1btoS3tzf69OnjcLyfnx82bdqEp59+GnXr1sXy5cvx7bff4vHHHwcAzJgxA5MnT8bMmTNRt25dPPfcc/l2XM1txowZaNy4MaKjo9GuXTuEhYXZLReWqlatGn744Qds2rQJUVFRWLZsmbXbqZubOUPTmWtIhSMTpMW+ZFdaWhp8fX2RmpoKHx+fkp5OkdDr9di2bRu6desmqi0nKq14z1JZx3u4HEk8AmTfBvweB7yqOx6Xkwjc3QcoPYGwpx/e/IpJQe/hmFO38fLaYzbbvdyUODU7uiinSOQU/j6moqTVanHlyhVUq1btoXWFNJlMSEtLg4+PT4HLTunR9cEHH2D58uW4fv16iZy/LN2/ef18uxIn4ppvRERERK6yNFDIL/PNWnaabe6QWsyLPZdWyQ7KTjNyDDCaBCjkj+Z1ISIiehg+//xzNGvWDIGBgdi7dy8WLFiA8ePHl/S0HikMvhERERG5yuk13zTmgJtgAkw55sePoOQs+2WnAJCpM8BHw8wjIiKi4nLx4kXMmTMHSUlJqFy5MiZPnoxp06aV9LQeKQy+EREREbnCZABM94NJirwXa4ZMZh5jyDJ/PKLBN0cNFwBz0wUG34iIiIrP4sWLsXjx4pKexiOtdBfXEhEREZU2lpJTucr8kR92PEWyg4YLAJCudRyYIyIiIioPGHwjIiIicoWzJacWyvvZcYbs4plPGeBozTfAnPlGREREVJ4x+EZERETkCksGW37NFiyY+YaUPNZ8y2DwjYiIiMo5Bt+IiIiIXGHJfMtvvTcLS4ac4dENvuXVcCGNZadERERUzjH4RkREROQKo4tlp5YgnZFlp/aw7JSIiIjKOwbfiIiIiFxhCaK5XHaaDQhC8cypFDOZhLzLTnMYfCMiIqLyjcE3IiIiIle42nBBoQFkMkAwAUZt8c2rlErXGmDKI+bIbqdEROSquLg4yGQyxMbGOhyza9cuyGQypKSkPLR5ETnC4BsRERGRs0x68wfg/JpvMtkjXXqa13pvAMtOiYhK0vDhwyGTyWw+unTpUtJTIypXlCU9ASIiIqIywxI8k6sBuQtvoxQe5ow5YxaAgGKZWmnF4BsRPXJMJiA7qdjPIctKBxQ6QG4np8Y9wP52O7p06YLVq1eLtrm5uRXFLInoPma+ERERETnL1ZJTi0e442lKHs0WAAbfiKgcyk4CFtQo1g/5olrw/b/GkC+qZX+MC8E/Nzc3hIWFiT78/f2tz8tkMqxYsQJ9+vSBh4cHatWqhS1btlifT05OxuDBgxEcHAx3d3fUqlVLFMy7efMmnnvuOfj7+yMwMBC9evVCXFyc9fnhw4ejd+/emDt3LkJDQ+Hn54fZs2fDYDDgjTfeQEBAACpVqoRVq1bZzP3cuXNo1aoVNBoNHn/8cezatSvP17pv3z60adMG7u7uiIiIwIQJE5CZmelw/KxZs9CwYUOsWrUKlStXhpeXF1555RUYjUbMnz8fYWFhCAkJwQcffCDaLzU1FaNHj0ZISAh8fHzw9NNP4/jx49bnL126hF69eiE0NBReXl5o1qwZdu7cKTpG1apVMXfuXIwYMQLe3t6oXLky/u///i/P10elF4NvRERERM5ytdOpBctOHeKab0REpd/s2bMxYMAAnDhxAt26dcPgwYORlGQO8M2YMQNnzpzBb7/9hrNnz2LZsmUICgoCAGRlZaF9+/bw8vLC33//jX/++QdeXl7o0qULdLoH/z78+eefuHXrFv7++2/873//w6xZs9C9e3f4+/vj4MGDePnll/Hyyy/j+vXronm98cYbmDx5Mv7991+0atUKPXv2RGJiot3XcPLkSURHR6Nv3744ceIEvvvuO/zzzz8YP358nq/90qVL+O233xATE4Nvv/0Wq1atwjPPPIMbN25g9+7d+OijjzB9+nQcOHAAACAIAp555hnEx8dj27ZtOHr0KBo3bowOHTpYr1lGRga6deuGnTt34t9//0V0dDR69OiBa9euic69aNEiNG3aFP/++y/Gjh2LV155BefOnXPhO0elBYNvRERERM4yWDqdOrnem8UjnPmWzMw3IqJSbevWrfDy8hJ9vP/++6Ixw4cPx8CBA1GzZk3MnTsXmZmZOHToEADg2rVraNSoEZo2bYqqVauiY8eO6NGjBwBgw4YNkMvlWLFiBerXr4+6deti9erVuHbtmihLLSAgAJ988gkiIyMxYsQIREZGIisrC2+//TZq1aqFadOmQa1WY+/evaJ5jR8/Hs8++yzq1q2LZcuWwdfXFytXrrT7OhcsWIBBgwZh0qRJqFWrFlq1aoVPPvkEX3/9NbRaxw2RTCYTVq1ahcceeww9evRA+/btcf78eSxZsgSRkZF48cUXERkZaX09f/31F06ePImNGzeiadOmqFWrFhYuXAg/Pz/88MMPAIAGDRpgzJgxqF+/PmrVqoU5c+agevXqooxCAOjWrRvGjh2LmjVrYurUqQgKCso3u49KJ675RkREROQsS+abwtXMNw/x/o+QFEnmm1ohh85osj7OyGHwjYioJLVv3x7Lli0TbQsIEK9PGhUVZf3a09MT3t7eSEhIAAC88sorePbZZ3Hs2DF07twZvXv3RqtWrQAAR48exX///Qdvb2/R8bRaLS5dumR9/Pjjj0Oea4260NBQ1KtXz/pYoVAgMDDQek6Lli1bWr9WKpVo2rQpzp49a/d1Wuaybt066zZBEGAymXDlyhXUrVvX7n5Vq1YVzT80NBQKhcJmvpa5HT16FBkZGQgMDBQdJzs72/qaMzMzMXv2bGzduhW3bt2CwWBAdna2TeZb7usuk8kQFhZmcw2obGDwjYiIiMhZBV3zLXfZqSCYO6A+IpIyxcG3Sv7uuHzvwfo6LDslonLHPQB441L+4wrBZDIhPT0d3t7eoiCQaA5O8vT0RM2aNfMco1KpRI9lMhlMJvMfUrp27YqrV6/i119/xc6dO9GhQweMGzcOCxcuhMlkQpMmTUQBL4vg4OA8j5/XOfMic/BvrMlkwpgxYzBhwgSb5ypXruzweK7OzWQyITw83G6Gmp+fHwBzuezvv/+OhQsXombNmnB3d0e/fv1EpbiOzu3MNaDSp9SUnc6bNw8ymQyTJk2ybhMEAbNmzUKFChXg7u6Odu3a4fTp06L9cnJy8OqrryIoKAienp7o2bMnbty4IRqTnJyMIUOGwNfXF76+vhgyZAhSUlIewqsiIiKicqXAmW8ac8BNEACj49KW8kjacKFyoPjapWsNEAThYU6JiKh4yeWAZ1CxfwgegY6fd7LTaVEJDg7G8OHDsXbtWixZssTaGKBx48a4ePEiQkJCULNmTdGHr69voc9rWWcNAAwGA44ePYo6derYHdu4cWOcPn3aZh41a9aEWq0u9Fxynyc+Ph5KpdLmPJa18Pbs2YPhw4ejT58+qF+/PsLCwkRNKKj8KRXBt8OHD+P//u//RCmVADB//nz873//w6efforDhw8jLCwMnTp1Qnp6unXMpEmTsHnzZmzYsAH//PMPMjIy0L17dxiNRuuYQYMGITY2FjExMYiJiUFsbCyGDBny0F4fERERlQMmPWC6XyLp6ppvMtkj23RB2nChcoA4+GYwCdDq+Vd8IqKSkpOTg/j4eNHHvXv3nN5/5syZ+Pnnn/Hff//h9OnT2Lp1q7WEc/DgwQgKCkKvXr2wZ88eXLlyBbt378bEiRNtkmYK4rPPPsPmzZtx7tw5jBs3DsnJyRgxYoTdsVOnTsX+/fsxbtw4xMbG4uLFi9iyZQteffXVQs8jt44dO6Jly5bo3bs3fv/9d8TFxWHfvn2YPn06jhw5AgCoWbMmNm3ahNjYWBw/fhyDBg1iRls5V+LBt4yMDAwePBhffvmlqJ2xIAhYsmQJ3nnnHfTt2xf16tXDV199haysLKxfvx6AuX3vypUrsWjRInTs2BGNGjXC2rVrcfLkSWub3rNnzyImJgYrVqxAy5Yt0bJlS3z55ZfYunUrzp8/XyKvmYiIiMogw/1SSYUbIFe4vv8juu6btOFChL9t1mB6DktPiYhKSkxMDMLDw0UfTz75pNP7q9VqTJs2DVFRUWjTpg0UCgU2bNgAAPDw8MDff/+NypUro2/fvqhbty5GjBiB7Oxs+Pj4FHruH374IT766CM0aNAAe/bswc8//2zNLpOKiorC7t27cfHiRTz11FNo1KgRZsyYgfDw8ELPIzeZTIZt27ahTZs2GDFiBGrXro3nn38ecXFxCA0NBQAsXrwY/v7+aNWqFXr06IHo6Gg0bty4SOdBpYtMKOE8/2HDhiEgIACLFy9Gu3bt0LBhQyxZsgSXL19GjRo1cOzYMTRq1Mg6vlevXvDz88NXX32FP//809quN3fgrkGDBujduzdmz56NVatW4fXXX7cpM/Xz88PixYvx4osv2p1XTk4OcnJyrI/T0tIQERGBe/fuFckvidJAr9djx44d6NSpk00tOVFpxHuWyjrew2Vc9k3Ikv8F1AEQglq5vn/KcciyrkPwrg141y76+T0EBbmHn1qwG/FpD95Tffp8A4zfcFw05vcJrVE92LNI50qUF/4+pqKk1Wpx/fp1VK1aFRqN5qGcUxAE65pvjtY4IyqtytL9q9VqERcXh4iICJuf77S0NAQFBSE1NTXfOFGJNlzYsGEDjh07hsOHD9s8Fx8fDwDWyLBFaGgorl69ah2jVqtFgTfLGMv+8fHxCAkJsTl+SEiIdYw98+bNw+zZs222b9++HR4eLq7zUsrt2LGjpKdA5BLes1TW8R4umzxNN+FluolsWTDSFCmF2D8OaYr/in6CD5Er93BihgLAgzfWl04dhVKmgEF4sO33P3ejirednYmKGX8fU1FQKpUICwtDRkaGzYL5xS33kkxEZU1ZuH91Oh2ys7Px999/w2AQd2jPynK+mqHEgm/Xr1/HxIkTsX379jz/OiCNggqCkG9kVDrG3vj8jjNt2jS8/vrr1seWzLfOnTsz842ohPCepbKO93AZl/wvZNnhEHzqAF55d4WzK+sGZCmxgFsQhMAninx6D4Or93COwQT9/p2ibV07tMXXVw4jMVcX1KimLdC6RmCRz5fIEf4+pqJkyXzz8vJi5huRE8rS/avVauHu7o42bdrYzXxzVokF344ePYqEhAQ0adLEus1oNOLvv//Gp59+al2PLT4+XlSDnZCQYM2GCwsLg06nQ3Jysij7LSEhAa1atbKOuXPnjs357969a5NVl5ubmxvc3NxstqtUqnL3D3R5fE1UvvGepbKO93BZlQMolIDGHyjI90/ja94fuoLtX4o4ew9nGWzXcvPx0MBboxQF37L1An8mqETw9zEVBaPRCJlMBrlcDvlD6jJqWZzfcl6isqQs3b9yuRwymczuvxeu/PtRYq+yQ4cOOHnyJGJjY60fTZs2xeDBgxEbG4vq1asjLCxMlAqu0+mwe/dua2CtSZMmUKlUojG3b9/GqVOnrGNatmyJ1NRUHDp0yDrm4MGDSE1NtY4hIiIiypel4YKygGuTKS0NF7KBkl1y96HJMRhttrkp5fDWiN+spmsNNuOIiIiIyosSy3zz9vZGvXr1RNs8PT0RGBho3T5p0iTMnTsXtWrVQq1atTB37lx4eHhg0KBBAABfX1+MHDkSkydPRmBgIAICAjBlyhTUr18fHTt2BADUrVsXXbp0wahRo/DFF18AAEaPHo3u3bsjMjLyIb5iIiIiKrOMOYDpfhaXooBrv8rdAJkcEEyAUQso3YtufqVUjt5ks81NJYe3RvwWNE3LbqdERERUfpVow4X8vPnmm8jOzsbYsWORnJyMFi1aYPv27fD2frAi7+LFi6FUKjFgwABkZ2ejQ4cOWLNmDRQKhXXMunXrMGHCBHTu3BkA0LNnT3z66acP/fUQERFRGWXNenMH5Iq8xzoikwEKd/OxjFmPRvDNYBt8Uyvk8HITvwXNyGHmGxEREZVfpSr4tmvXLtFjmUyGWbNmYdasWQ730Wg0WLp0KZYuXepwTEBAANauXVtEsyQiIqJHjjX45lW441iDb9mFn1MZIC07VcplUCpYdkpERESPltK9sh0RERFRaWDIMH8u6HpvFpZ13wzOt6Yvy6SZb25K81tPadlpOstOiYiIqBxj8I2IiIgoP4VttmBhWS/O+IgE3yRrvrmpzCW7PhqWnRIREdGjg8E3IiIiovwUVdmpZZ03w6NZdmrJfPOyyXxj8I2IqKzZtWsXZDIZUlJS8hxXtWpVLFmypMjO265dO0yaNMmlfWbNmoWGDRtaHw8fPhy9e/cukvnIZDL89NNPRXKsh2nIkCGYO3duSU+jROXk5KBy5co4evRosZ+LwTciIiKivAhC0ZWdPmqZbw7LTsVrvqUx+EZEVGLi4+Px6quvonr16nBzc0NERAR69OiBP/74I8/9WrVqhdu3b8PX1xcAsGbNGvj5+dmMO3z4MEaPHl0cUy+wjz/+GGvWrCnpaZSYEydO4Ndff8Wrr75q3TZ8+HDIZDLRxxNPPCHaLycnB6+++iqCgoLg6emJnj174saNG6IxycnJGDJkCHx9feHr64shQ4bkG6AtiCVLlqBr167o1KkTRo0aBUEQRM8PHz4cb731Vp7HcHNzw5QpUzB16tQin58Ug29EREREeTFqAcF0v1upR+GOZVnzzZhtDuqVc7bBN3PZKdd8IyIqHeLi4tCkSRP8+eefmD9/Pk6ePImYmBi0b98e48aNc7ifXq+HWq1GWFgYZDJZnucIDg6Gh0ch//0sYr6+vnYDhaWFTqcr1uN/+umn6N+/P7y9vUXbu3Tpgtu3b1s/tm3bJnp+0qRJ2Lx5MzZs2IB//vkHGRkZ6N69O4zGB5nugwYNQmxsLGJiYhATE4PY2FgMGTKkyF/DpEmTULFiRVy6dAnr169Henq69TmTyYRff/0VvXr1yvc4gwcPxp49e3D27Nkin2NuDL4RERER5cVScqrwMAfgCkPuBsjk5sCbUVv4uZVyOXpJ2anqftmpm2TNN2a+EVE5lZmZiczMTFFWjk6nQ2ZmJnJycuyONZke/OFCr9cjMzMTWq3WqbGuGjt2LGQyGQ4dOoR+/fqhdu3aePzxx/H666/jwIED1nEymQzLly9Hr1694OnpiTlz5ojKTnft2oUXX3wRqamp1qypWbNmAbAtO01JScHo0aMRGhoKjUaDevXqYevWrQCAxMREDBw4EJUqVYKHhwfq16+Pb7/91uXX9eGHHyI0NBTe3t4YOXKkzfWTlp3+8MMPqF+/Ptzd3REYGIiOHTsiMzPT+vyqVavw+OOPw83NDeHh4Rg/frzoePfu3UOfPn3g4eGBWrVqYcuWLdbnjEYjRo4ciWrVqsHd3R2RkZH4+OOP7c5n3rx5qFChAmrXrg0A2LdvHxo2bAiNRoOmTZvip59+gkwmQ2xsrHXfM2fOoFu3bvDy8kJoaCiGDBmCe/fuObw2JpMJGzduRM+ePW2ec3NzQ1hYmPUjICDA+lxqaipWrlyJRYsWoWPHjmjUqBHWrl2LkydPYufOnQCAs2fPIiYmBitWrEDLli3RsmVLfPnll9i6dSvOnz/vcE5Vq1bFnDlzMHToUHh5eaFKlSr4+eefcffuXfTq1QteXl6oX78+jhw5ItpvxYoV+Pfff/HGG2+IAol79+6FXC5HixYtoNPpMH78eISHh0Oj0aBq1aqYN2+edWxgYCBatWpVoPvMFQy+EREREeXFWnJayPXegPvZc/fXfXsESk+d7XbKhgtEVF55eXnBy8tLFAxZsGABvLy8bAI4ISEh8PLywrVr16zbPvvsM3h5eWHkyJGisdWrV0elSpVE2TqullEmJSUhJiYG48aNg6en7bIK0sywd999F7169cLJkycxYsQI0XOtWrXCkiVL4OPjY82amjJlis0xTSYTunbtin379mHt2rU4c+YMPvzwQygU5sxorVaLJk2aYOvWrTh16hRGjx6NIUOG4ODBg06/ru+//x7vvvsuPvjgAxw5cgTh4eH4/PPPHY6/ffs2Bg4ciBEjRuDs2bPYtWsX+vbtaw2YLlu2DOPGjcPo0aNx8uRJbNmyBTVr1hQdY/bs2RgwYABOnDiBbt26YfDgwUhKSrK+5kqVKuH777/HmTNnMHPmTLz99tv4/vvvRcf4448/cPbsWezYsQNbt25Feno6evTogfr16+PYsWN4//33bcojb9++jbZt26Jhw4Y4cuQIYmJicOfOHQwYMMDh6z1x4gRSUlLQtGlTm+d27dqFkJAQ1K5dG6NGjUJCQoL1uaNHj0Kv16Nz587WbRUqVEC9evWwb98+AMD+/fvh6+uLFi1aWMc88cQT8PX1tY5xZPHixWjdujX+/fdfPPPMMxgyZAiGDh2KF154AceOHUPNmjUxdOhQ6/fFElDVaDT46quvcPz4ceuxtmzZgh49ekAul+OTTz7Bli1b8P333+P8+fNYu3YtqlatKjp38+bNsWfPnjznV1jK/IcQERERPcKKqtOphdLTfEx9OuAWWDTHLKUclZ16SjLfsnRGmEwC5PJCZhYSEZHT/vvvPwiCgDp16jg1ftCgQaKg25UrV6xfq9Vq+Pr6QiaTISwszOExdu7ciUOHDuHs2bPW7K7q1atbn69YsaIoaPfqq68iJiYGGzduFAV08rJkyRKMGDECL730EgBgzpw52Llzp032m8Xt27dhMBjQt29fVKlSBQBQv3596/Nz5szB5MmTMXHiROu2Zs2aiY4xfPhwDBw4EAAwd+5cLF26FIcOHUKXLl2gUqkwe/Zs69hq1aph3759+P7770VBMk9PT6xYsQJqtRoAsHz5cshkMnz55ZfQaDR47LHHcPPmTYwaNcq6z7Jly9C4cWNR44RVq1YhIiICFy5csF7j3OLi4qBQKBASEiLa3rVrV/Tv3x9VqlTBlStXMGPGDDz99NM4evQo3NzcEB8fD7VaDX9/f9F+oaGhiI+PB2BeP1B6XMAcWLaMcaRbt24YM2YMAGDmzJlYtmwZmjVrhv79+wMApk6dipYtW+LOnTsICwvDgAEDkJqaisTERHTs2BH16tWzHmvLli1YuHAhAODatWuoVasWnnzySchkMuv3OLeKFSsiLi4uz/kVFoNvRERERHmxBN9URZD5BgAqX0CbAOjTiuZ4pZijbqeeatu3oNl6o01QjoiorMvIMGdP517z7I033sCkSZOgVIp/51myjNzd3a3bxo0bh1GjRlkzwywuX76MtLQ0hIaGWrcNHz7cpblZMojyW7PNwl6mlKtiY2NRqVIlu0EhwFyi+eGHH+K7777DzZs3kZOTg5ycHLuZeY6cPXsWL7/8smhby5Yt8ddff9kd36BBA3To0AH169dHdHQ0OnfujH79+sHf3x8JCQm4desWOnTokOc5o6KirF97enrC29tblDW2fPlyrFixAlevXkV2djZ0Op2o+ypgDvhZAm8AcP78eURFRUGj0Vi3NW/eXLTP0aNH8ddff8HLy/Y9yqVLl+xe5+zsbLi5udl835977jnr1/Xq1UPTpk1RpUoV/Prrr+jbt6/D1y4IguhY9u4n6Rh7cl9Dy32dOwhq2ZaQkICwsDBRaW9uZ8+exY0bN9CxY0cA5p+LTp06ITIyEl26dEH37t1F2XuA+WcuK6t4KxJYdkpERESUF0vZqaKIMt9UPubP+tSiOV4plqOXZL7dX/PNQ62wGZupY+kpEZU/np6e8PT0FAUe1Go1PD094ebmZnesXP7gv+kqlQqenp6iAExeY11Rq1YtyGQypxeadyUA5kjuwKI9ixYtwuLFi/Hmm2/izz//RGxsLKKjo4u1AYFCocCOHTvw22+/4bHHHsPSpUsRGRmJK1eu5DtfC+m1l8lk1vX4vv/+e7z22msYMWIEtm/fjtjYWLz44os2r0l6fe0FrKQdPU0mE3r06IHY2FjRx8WLF9GmTRu7cw0KCkJWVla+1zQ8PBxVqlTBxYsXAQBhYWHQ6XRITk4WjUtISLAGxsLCwnDnzh2bY929e1cUKLYn9zW0vG5723Kvc2jPli1b0KlTJ+v3rnHjxrhy5Qref/99ZGdnY8CAAejXr59on6SkJAQHB+d53MJi8I2IiIjIEcH0YG22osp8U/uaP+vTyn3HU2fLTgEgK8dos42IiIpPQEAAoqOj8dlnn4maC1ikpKS4dDy1Wi3qemlPVFQUbty4gQsXLth9fs+ePejVqxdeeOEFNGjQANWrV7cGf5xVt25dUbMIADaPpWQyGVq3bo3Zs2fj33//hVqtxubNm+Ht7Y2qVavijz/+cGkOue3ZswetWrXC2LFj0ahRI9SsWROXLl3Kd786dergxIkTosYc0oYDjRs3xunTp1G1alXUrFlT9OEoWGrJuDtz5kye509MTMT169cRHh4OAGjSpAlUKhV27NhhHXP79m2cOnUKrVq1AmDOMExNTcWhQ4esYw4ePIjU1FTrmOL2888/2zST8PHxwXPPPYcvv/wS3333HX788UfrmnwAcOrUKTRq1KhY58XgGxEREZEjhixzgEymMHcqLQoKD/PxBNODktZyylHZqZtSDunybsx8IyJ6+D7//HMYjUY0b94cP/74Iy5evIizZ8/ik08+QcuWLV06VtWqVZGRkYE//vgD9+7ds1vG17ZtW7Rp0wbPPvssduzYgStXruC3335DTEwMAKBmzZrYsWMH9u3bh7Nnz2LMmDH5rhUmNXHiRKxatQqrVq3ChQsX8O677+L06dMOxx88eBBz587FkSNHcO3aNWzatAl3795F3bp1AQCzZs3CokWL8Mknn+DixYs4duwYli5d6vR8atasiSNHjuD333/HhQsXMGPGDBw+fDjf/QYNGgSTyYTRo0fj7Nmz+P33363rmFmywMaNG4ekpCQMHDgQhw4dwuXLl7F9+3aMGDHCYSA0ODgYjRs3xj///GPdlpGRgSlTpmD//v2Ii4vDrl270KNHDwQFBaFPnz4AAF9fX4wcORKTJ0/GH3/8gX///RcvvPAC6tevby3xrFu3Lrp06YJRo0bhwIEDOHDgAEaNGoXu3bsjMjLS6WtWUAkJCTh8+DC6d+9u3bZ48WJs2LAB586dw4ULF7Bx40aEhYWJGors2bPHphS1qDH4RkREROSIId38WeVt7lRaFGSyR6b0VJr5plGZM99kMpndpgtERPRwVatWDceOHUP79u0xefJk1KtXD506dcIff/yBZcuWuXSsVq1a4eWXX8Zzzz2H4OBgzJ8/3+64H3/8Ec2aNcPAgQPx2GOP4c0337QGimbMmIHGjRsjOjoa7dq1Q1hYGHr37u3SPJ577jnMnDkTU6dORZMmTXD16lW88sorDsf7+Pjg77//Rrdu3VC7dm1Mnz4dixYtQteuXQEAw4YNw5IlS/D555/j8ccfR/fu3V3Kxnv55ZfRt29fPPfcc2jRogUSExMxduzYfPfz8fHBL7/8gtjYWDRs2BDvvPMOZs6cCQDWMuQKFSpg7969MBqNiI6ORr169TBx4kT4+vqKSpKlRo8ejXXr1lkfKxQKnDx5Er169ULt2rUxbNgw1K5dG/v374e3t7d13OLFi9G7d28MGDAArVu3hoeHB3755RfRmoTr1q1D/fr10blzZ3Tu3BlRUVH45ptvnL5ehfHLL7+gRYsWoqYPXl5e+Oijj9C0aVM0a9YMcXFx2LZtm/X67N+/H6mpqTalqEVNJkiLhsmutLQ0+Pr6IjU1FT4+PiU9nSKh1+uxbds2dOvWzeX1AYhKAu9ZKut4D5dBaeeBtAuAZwTg37Dojpt8Asi8CnjXBHzrFt1xi5mr9/Dk74/jx2M3rI/HtKmOad3Mr/eJuX8gPu1B57k1LzZDu0jbDmlExYG/j6koabVaXLlyBdWqVbNZm624mEwmpKWlwcfHJ88gC5Uv69atw4svvojU1FSn16OzR6vVIjIyEhs2bHA5w7EoFNf927NnTzz55JN48803nd6nf//+aNSoEd5++227z+f18+1KnIgtpYiIiIgc0Vsy34r4D29qXyAT5T7zTeug7BQAPNzETRcyueYbERGRyNdff43q1aujYsWKOH78OKZOnYoBAwYUKvAGmDPnvv76a9y7d6+IZlo6PPnkkxg4cKDT43NyctCgQQO89tprxTgrMwbfiIiIiByxlJ0qvfMe5ypr2Wla0R63lLHtdvog4OapFr8N5ZpvREREYvHx8Zg5cybi4+MRHh6O/v3744MPPiiSY7dt27ZIjlOauJLxBgBubm6YPn16Mc1GjME3IiIiIntyN0RQFXHwTXk/+GbMMX8oiqiZQynjqOECAHioxZlvWTkMvhEREeX25ptvuhxQotKJxeFERERE9hgyzJ1O5SpAUcRr+MgVgMrL/HU5zn6TNlzIHXyTNlzIZMMFIiIiKqcYfCMiIiKyR5+r02lxeAQ6ntoG3x5ku9lkvrHslIjKOPYyJCp/iurnmsE3IiIiInv0xbTem4XK9/55ynHmm15Sdqp68NbTS5r5xoYLRFRGWTrmZmVllfBMiKio6XQ6AIBCochnZN645hsRERGRPQZmvhWWLo+yUw9JwwVmvhFRWaVQKODn54eEhAQAgIeHB2QyWbGe02QyQafTQavVQi5nTg2VLWXl/jWZTLh79y48PDygVBYufMbgGxEREZE9DyvzzZAJmIzmdeDKmbzKTj3dxK+Xa74RUVkWFhYGANYAXHETBAHZ2dlwd3cv9kAfUVErS/evXC5H5cqVCz1PBt+IiIiIpEzG4ut0aqFwM38YcwBdEqAJLp7zlKC8u51Ky06Z+UZEZZdMJkN4eDhCQkKg1+uL/Xx6vR5///032rRpYy17JSorytL9q1ariyQ7j8E3IiIiIilDhvmzXG0OkBUX93AgIw7Iul4+g296SeabKne3U0nDBa75RkTlgEKhKPTaUM6ex2AwQKPRlPrgBZHUo3j/lt7iWiIiIqKSUtzrvVl4RJg/Z8cDpvKX+ZV3t1NJ5hvXfCMiIqJyisE3IiIiIin9Qwq+qf0AlRcgGIHsW8V7rofMZBKgMzpuuOCplmS+cc03IiIiKqcYfCMiIiKSKu5mC7lZst+yrhf/uR4iaeANkDZc4JpvRERE9Ghg8I2IiIhIypBm/lzcmW8A4FEJkMmAnKQHTR7KAel6b0A+a74x842IiIjKKQbfiIiIiHIzGQFDtvnrh5H5ptAAbkHmr7NuFP/5HhJpp1Mgn26nOgMEQSj2eRERERE9bAy+EREREeUm6nSqfjjnzF16Wk4CUNJmC4Ck7FQSfBMEIFvP7DciIiIqfxh8IyIiIsrNEnxTeT28c2rCALnKnHGXGffwzluM7GW+qXNnvknKTgEgM4fBNyIiIip/GHwjIiIiys0SfFM+xOCbXAH41DF/nXYeMOY8vHMXE61kzTeVQgaFXGZ9LM18A4AsHZsuEBERUfnD4BsRERFRbpZOpw+j2UJunlUAtR9g0gOpZx7uuYuBNPNNoxRnumlUcuSKxQFg5hsRERGVTwy+EREREeVWEplvgLnjqV9989dZN4CcxId7/iIm7Xaau9MpAMhkMpvsN2a+ERERUXnE4BsRERGRhSAAhkzz1w87+AaYM9+8qpq/Tjn58M9fhKQNF9yUtmu8Sdd9y9Qx842IiIjKHwbfiIiIiCyMWYBgAmRyQOFeMnPwqQPIFObyV11KycyhCEjLTt2Utm87bTLfcpj5RkREROUPg29EREREFvpcJacyWd5ji4tcBbiHmb/OvlUycygC0sw3tZ3gmzTzLYPBNyIiIiqHGHwjIiIisrCs96YqgZLT3NwrmD9n3zKXwpZBtmu+2Sk7tVnzjWWnREREVP4w+EZERERkUVLNFqQ0IYBcCRiyAX1Kyc6lgJwrO5Wu+cbMNyIiIip/GHwjIiIisrAG37xLdh4yOaC5X3qaVTZLT20bLtgrO5Wu+cbMNyIiIip/GHwjIiIistCnmz+XdNkpUOZLT53pduolKTtl5hsRERGVRwy+EREREQGAMQcw6c1fKzxLdi4AoAk2N18wagFdcknPxmU5eknZqSr/hgvMfCMiIqLyiME3IiIiIiBXyakHILfN0nroZPJcXU9vluxcCsCZslNPZr4RERHRI4DBNyIiIiKg9DRbyM1Seqq9U7LzKABnyk6lmW+ZOQy+ERERUfnD4BsRERERAOhLYfBNHWD+bMgGjLqSnYuLnOt2Ks18Y9kpERERlT8MvhEREREBDzLfVCXc6TQ3ufJB8wd9asnOxUU5eknmm70139SSNd9YdkpERETlEINvRERERECustNS0GwhN5Wv+bMupUSn4Spnyk493cSZb2y4QEREROURg29EREREggkwZJm/LkTZabpWj73/3cPd9JwimhgeBN/KWuabM2Wnbmy4QEREROWfMv8hREREROWcIdP8Wa4EFG4FOsTJG6kY8dVh3E3PgbebEt+/3BJ1w30KP7cyG3xzptuppOyUmW9ERERUDjHzjYiIiMgSfCtg1tupm6kYvOKANeMtPceA//v7ctHMTX0/+GbIKlNNF2zXfLPT7dSm4YIBgiAU67yIiIiIHjYG34iIiIgKsd6bOfB2EGlaccnkoStJRTEzQK56MK8ylP3mXNmpOCBnEmwz5oiIiIjKOgbfiIiIiKyZb64F3+6m52DoqkNIzdbbPHczJRvxqdqimN2D7LcyFHzTSjPf7ATfpJlvAJCRw3XfiIiIqHxh8I2IiIjImvnmWtnpqr1XkJTpuBT0yNUiyn4rg+u+2Wa+2et2aruN674RERFRecPgGxEREVEBMt+0eiM2HLqW55gjccmFmdUDluCbriwF38SZbxqV7dtOd5UCMpl4GzueEhERUXnD4BsRERE92kx6wGhulOBK8G3L8VtIzhKXm/ZpVFH0+Ni1Ig6+GTLN8y0DbLud2ma5yWQyeEpKT7MYfCMiIqJyhsE3IiIierRZst4UbubmBk4QBAFr9saJtj1VKwj9m1YSbTt9K61ogkkKNaB0N39dRrLfcvSSslM7mW8A4KEWB+UyWXZKRERE5QyDb0RERPRoK0DJ6ZGryThzO020bXirqmgY4QeF/EEdpdEkIPZ6SlHMElD5mT+XkXXfbDPf7L/t9HRj5hsRERGVbwy+ERER0aPNGnxzvtnCmn1xoseVAzzQLjIEHmolHq/gI3ruaFGv+1YGgm8GowkGkyDaZq/sFGDmGxEREZV/DL4RERHRo83a6dS5zLeENC1iTsWLtg1tWcWa8dakir/ouSNXiyj4prYE39LyHlcK6Iwmm20OM98ka76x4QIRERGVNwy+ERER0aPNxcy3/ZcTYcyV1eWuUqB/0wjrY2nw7di1ZJgkWWAFYpmfIRMQiuB4xShHbyf45mjNNzdmvhEREVH5xuAbERERPdpczHw7c0ucedaqRiB83R80amhaJUD0fLrWgIsJGYWbIwAo3AGZHBBMgDGr8McrRtL13gDHZafsdkpERETlHYNvRERE9Ogy5gCm+8EeZ4NvkkYLj0nWeAvz1aCin7to25GrSQWfo4VM9iD7TV8EwbxilGOwzV5z3HCBmW9ERERUvjH4RkRERKWKVm/Ee7+cwaivj2Dff/eK92TWklMPc1ZZPgRBsMl8eyzcx2actPT0fHx6weeYm8pSelrag2/Or/nmwcw3IiIiKueU+Q8hIiIiengmbzyOX0/cBgDsvnAX+996GoFebsVzMhdLTu+m5yAxUyfaJs18A4CqQeLj3UrJLtj8pJRlJPgmWfNNrZRDJpPZHWuT+aZj5hsRERGVL8x8IyIiolLj1M1Ua+ANAHQGE/ZeSiy+E7rYbOG0pOTUy02JCH8Pm3GVJGWnN5IfseCbpOzUUdYbYCfzLYeZb0RERFS+MPhGREREpcaSnRdttiVm5BTfCQvZbKFOmDfkctuMrgqS4FuRZ76V+jXfxJlvjpotAICnWvxcBoNvREREVM4w+EZERESlwqmbqdh59o7N9rTsYgzGWDPfiqbZgkVFf3HwLU1rQLpW7/r8pCzzNOkAoy7vsSXIpcw3N+mabyw7JSIiovKFwTciIiIqFT75wzbrDQBSsospyCQIuYJv3k7tctaJZgsAEO6rsdl2syiy3+RKQHH/2KW49FS65pubyvFbTm9J8C2tKIKURERERKUIg29ERERU4k7fSsX2M7ZZbwCQklVMwRhjFiCYAJniQUArD1k6A64kZoq2Ocp806gUCJI0iSiy0lPV/UChITPvcSXIlbJTf0+16HFSZunN6CMiIiIqCAbfiIiIqMStPXDN4XPJWcUUjNGnmz+rvAAHnThzOxefDkF48FguA2qHOs6Yk5ae3nyEmi64UnYaKAm+pWsN0EmCd0RERERlGYNvREREVOIu3XUcSCq2zDdrswXnOp1Kmy3UCPaCRuU4o0va8fRmita1+TlSBoJvWmnZaR7BtwBJ8A0oxoArERERUQlg8I2IiIhKnLRMMbeU4grEuBp8c7LZgkUFP3Epa5Gs+QY8aLpgydwrhWwy3/IIUvp5qG0SD1l6SkREROUJg29ERERU4vIqM0wursw3feEy3xw1W7CoKM18S85yfm55saz5ZlmzrhSyabiQR+abQi6Dn7tKtI3BNyIiIipPGHwjIiKiEqeTZErllqbVw2gSHD5fYJbMN1X+wTejScD5eHGmWd18gm8VJMG3W0VVdqrQmJtECAJgKKKAXhGzbbiQ91tOadOFRAbfiIiIqBxh8I2IiIhKXF5lp4IApGUXcfabMQcw3T+mE5lvVxMzka0XBwjzC75JGy7cSdcWXSMBVele901adprX2niAbdOFZAbfiIiIqBxh8I2IiIhKXH5BqSJfgN+63psHIMv/7dANSadSfw8Vgr3d8tynkp+H6LEgAHfSHo2mC65mvkmbLjDzjYiIiMoTBt+IiIioxOWV+QYAKUWd+WYNvnk7NTxeEjQL83V3MPIBH3clPNXijC9pEK/ASnvwzWbNt7wz36TBN2a+ERERUXnC4BsRERGVuPwy34q846ne+fXeACA+VRJ888k76w0AZDKZTelp0XU8vT9vfSkNvtl0O3Ut840NF4iIiKg8YfCNiIiISpzOmE/ZaWZRZ77db57gZKfTgmS+AfaaLhRR8K3Ur/nmatmpOJiZmJlT5HMiIiIiKikMvhEREVGJMhhNNt1MQyTrqRVf2alzwbc7NplvGqf2qygJvt0s6rJTk97cPKKUsQ2+5Vd2qhI9LvJgKxEREVEJYvCNiIiISpS9rLdQSXCrSMtOTUbAcD8I5mTw7bY0+Oabf9kpYNvx9FZqEQXfZHJzswigVGa/2ZSdupz5xrJTIiIiKj8YfCMiIqISJV2cHwBCJWuqFWm3U0uwSq4GFOq8x94n7VIqDQ46UmyZb0Cpbrpg03AhnzXfAqUNF7J0MEmyIYmIiIjKKmVJT4CIiIgebfYy30JsMt+KsAzR4FqzhRyD0SYTK9zJNd9sgm8p2RAEATKZzOE+Wr0Ru84niLLtIkO90bJGoHg/pReAhFLZdMHVslN/SfDNaBKQrjXA10PlYA8iIiKisoPBNyIiIipRdjPfvB9C8M3JktOENNs11Zxe801SdppjMCExU4cgL8dlq2PXHcOf5xJstk/pXBvjn671YEMpbrrgatmpNPMNMDddYPCNiIiIygOWnRIREVGJ0hmNNtukZacp2UVYdqq/3+lU5e3UcGmnU41KDh935/5+GeKtgVIuznLLq/T0dmq23cAbAKw9cE28oTSXnbrY7VSjUsBDLc6OS+K6b0RERFROMPhGREREJUoaqFHKZQiUZIYVafdLfdr9EzkZfJM0Wwj3dc+zbDQ3hVyGMF9xltytFMfBtzt2suys80jTQpf7WlmDb1nmJhKliO2ab3mXnQKAv4c4+43BNyIiIiovSjT4tmzZMkRFRcHHxwc+Pj5o2bIlfvvtN+vzgiBg1qxZqFChAtzd3dGuXTucPn1adIycnBy8+uqrCAoKgqenJ3r27IkbN26IxiQnJ2PIkCHw9fWFr68vhgwZgpSUlIfxEomIiCgf0uCbWimHn6TcsMi6nZqMgCHT/LXKx6ldpME3aVZefipI1n27kUfmW36NJRLSc81F4QbI718nY6ZLcypuWknZqVqR/1vOQC8G34iIiKh8KtHgW6VKlfDhhx/iyJEjOHLkCJ5++mn06tXLGmCbP38+/ve//+HTTz/F4cOHERYWhk6dOiE9Pd16jEmTJmHz5s3YsGED/vnnH2RkZKB79+4w5iphGTRoEGJjYxETE4OYmBjExsZiyJAhD/31EhERkS2dneCbvyT4lqkz2owrEMP9rDeFm/nDCdKyU2fXe7OI8PcQPb6enOVwbH5BRmnXVWv2WylrupCtEwffpCWl9gRI1n1LKsoOt0REREQlqEQbLvTo0UP0+IMPPsCyZctw4MABPPbYY1iyZAneeecd9O3bFwDw1VdfITQ0FOvXr8eYMWOQmpqKlStX4ptvvkHHjh0BAGvXrkVERAR27tyJ6OhonD17FjExMThw4ABatGgBAPjyyy/RsmVLnD9/HpGRkQ/3RRMREZGIvfXBfN1tF+BPydYhxNu1wJcNS8mpk1lvgJ3gm5OdTi0iAsTjryflFXzLu7w2PlVSlqryAnTJpWrdN6NJsPmeOhV8k5adZjD4RkREROVDqel2ajQasXHjRmRmZqJly5a4cuUK4uPj0blzZ+sYNzc3tG3bFvv27cOYMWNw9OhR6PV60ZgKFSqgXr162LdvH6Kjo7F//374+vpaA28A8MQTT8DX1xf79u1zGHzLyclBTs6DN7hpaeY363q9Hnp9Ea47U4Isr6O8vB4q/3jPUlnHe9i+bK04yKJSyOFpp8nlvdRs+GvyD+LkfbJEyIwGCDIPwMnvw23JGm3BXiqXvocVJGWq15KyHO6fmK61u93iZnKmZF838+vRpgDuxX9fOXMPZ+QYbLap5EK+18xP0sTiXrqWPytUbPj7mMo63sNUlpWX+9eV+Zd48O3kyZNo2bIltFotvLy8sHnzZjz22GPYt28fACA0NFQ0PjQ0FFevXgUAxMfHQ61Ww9/f32ZMfHy8dUxISIjNeUNCQqxj7Jk3bx5mz55ts3379u3w8PCws0fZtWPHjpKeApFLeM9SWcd7WOzfezIAD4Jqem0WdvweA41CAa3xQWODmL/+xkXnE9bsCjCehUpIR6o8GVr5Faf2ibujAPBgHjcvnsa2pFNOn/NGGpD7Lde1xAz8+us22OvZcPyyHHmtCnIg9ixCUx6sf+tmSoaf6SIMsrNIVNx2ek6Fldc9nKYDpG8x9+7+C152Aqq5JdwU3wfnr97Etm3XCz5JIifw9zGVdbyHqSwr6/dvVpbjagapEg++RUZGIjY2FikpKfjxxx8xbNgw7N692/q8tJuYIAj5dhiTjrE3Pr/jTJs2Da+//rr1cVpaGiIiItC5c2f4+BTynX8podfrsWPHDnTq1AkqVT7viIlKAd6zVNbxHrZPF3sLuPggmBXg64Nu3Vpiwdm/cSPlQSZYnaim6PSY7R/UnCYIkMXLAcEAIbgtoMq/26nJJGDKoZ0ABOu2ru1aomGEn9OnjU/T4pPTf1sf600yNG/TAcHetmvO7fj+BHDH8R8HPYMroFu3qAcbDBmQJewCZAoIYV1gN6JXhJy5h68mZQFH/xFt69E1Gu75lJ5mHLmBrdfOWB8rPf3QrdsThZ80kR38fUxlHe9hKsvKy/1rqZB0RokH39RqNWrWrAkAaNq0KQ4fPoyPP/4YU6dOBWDOXAsPD7eOT0hIsGbDhYWFQafTITk5WZT9lpCQgFatWlnH3Llzx+a8d+/etcmqy83NzQ1ubrZvilUqVZm+Oewpj6+Jyjfes1TW8R4WMwrigJFGrYBKpYK/p5so+JauMxbuuhmyzEllMjXg7gfI8u87dTc9B3qjINoWEejt0jwq+iuhVspFDSNup+tQIcDLZmyqVlyyGeLthoT0B8tgJKTrxOdW+gJKFSAIgNwIKF1bj66g8rqHDZLvp0wGeHu45fvH02Af8dyTMvX8OaFix9/HVNbxHqayrKzfv67MvUS7ndojCAJycnJQrVo1hIWFidIQdToddu/ebQ2sNWnSBCqVSjTm9u3bOHXqlHVMy5YtkZqaikOHDlnHHDx4EKmpqdYxREREVHKki/OrFea3J36Sjqf5NSPIl7XZgrdTgTfAtruoXAYEedk2g8iLXC5DJT9p04Vsu2OlrzEyTJydZ9PtVCYHlJ7mr0tJ04UsSadTd5Ui38AbYNvtNJndTomIiKicKNHMt7fffhtdu3ZFREQE0tPTsWHDBuzatQsxMTGQyWSYNGkS5s6di1q1aqFWrVqYO3cuPDw8MGjQIACAr68vRo4cicmTJyMwMBABAQGYMmUK6tevb+1+WrduXXTp0gWjRo3CF198AQAYPXo0unfvzk6nREREpYBOGnxTWoJv0mBMUQXfXOh0mioOdgV7u0GpcP1vl5UCPHD5Xqb1saOOpynZ4oBT3XAf7Ll478F80rS2S2covQB9xv3gW7DLcytq2XaCb86QBt+ydEZo9UZonNyfiIiIqLQq0eDbnTt3MGTIENy+fRu+vr6IiopCTEwMOnXqBAB48803kZ2djbFjxyI5ORktWrTA9u3b4e394K/AixcvhlKpxIABA5CdnY0OHTpgzZo1UCgevFFbt24dJkyYYO2K2rNnT3z66acP98USERGRXTkGcbDGTWn+N9zfJvOtkJlQ+lTzZxeCb7clmWZhvgUr66wcIMl8S3YQfMuUZL6FijPftHoT0rIN8M19bZT3y1dLa+ZbPmu9WQR62i73kZipQ0W/h1NKS0RERFRcSjT4tnLlyjyfl8lkmDVrFmbNmuVwjEajwdKlS7F06VKHYwICArB27dqCTpOIiIiKkTTzzc2S+eZe1GWn6ebPSueDb3ckmW9hPrYBImdE+Is7pV+zk/mmN5qQniNe801adgqYs9/sBt/0pSP4lq0XB988nAy+eWuUUMhlMJoerLGXzOAbERERlQOlbs03IiIierRI13xzc1h2WojMN5MBMNwv+3Sl7FSa+eajKdDpIwLEwTd7a76lZtsGF0N83GzKMW3WfVOVrsy3bJ04gOiudu5vvXK5DP6S73liJtd9IyIiorKPwTciIiIqUTYNF+4H3/w9izDzzbLem0IDKJxvmCBd862gZafSzLfbqdnQG8Wv215ZrZ+7GqGSgJ80IGjNfDNqzUHGEmbbcMH5t5uB0qYLDL4RERFROcDgGxEREZUondFR2ak4ECNtRuCSAjRbAOxkvvkWsOxUsuabSQBup4iPLW0o4alWQK2U25S6SkthIVcBivtjSkH2mzT45uFk5htgG3Bl5hsRERGVBwy+ERERUYnK0TvqdioOxCRn6SEIAgpEn2L+rPJ1aTdpoEuaheYsX3cVvDXiIJR03TdpZp+l7DbfzDegVDVd0OoL1nABsG26kJSZUyRzIiIiIipJLjdciIuLw549exAXF4esrCwEBwejUaNGaNmyJTSagr0hJSIiokeXNPPNWnYqWf9LZzAhW290KZPKKifR/Nkt0OldMnIMNg0QwgtYdiqTyRDh74Ezt9Os26QdT6Vr2lmywKTBN5s13wBz8C0nsVQ0XbDJfFM5H3yTrm+XlFnIJhtEREREpYDT717Xr1+PTz75BIcOHUJISAgqVqwId3d3JCUl4dKlS9BoNBg8eDCmTp2KKlWqFOeciYiIqBzJkWRKuSnNwRpp5htgzg5zOfhmyAYMWYBMBqj9nd4tMcM26yrYu2Blp4C59FQUfLPJfBMH3yxlt2G+TmS+laKmC7Zlp84H3/wlwTd73wMiIiKissapd6+NGzeGXC7H8OHD8f3336Ny5cqi53NycrB//35s2LABTZs2xeeff47+/fsXy4SJiIiofLHJfMuOA25dho9MDrnMvD6aRXKWDhX8XMw+093PelP5AXLnA3dJkvXG1Eo5PF0IJElJmy5cTxZ3PLUtOzUHH6UdVu+k2QlIlaKyU2m3U40L1yxUsr6d9BoRERERlUVOvQN9//338cwzzzh83s3NDe3atUO7du0wZ84cXLlypcgmSEREROWbTtLt1E2mBUzmhWn9NEokZT94XhoQc0rOvfsHdr7kFLANhgV4qCGTyVw//32VAyXBtyRp2an4fP4O1ny7l5EDvdEElSLX0r3W4FsmIAjmLL8SYlt26nzAs3qQl+jx5bsZMJkEyOUl93qIiIiICsuphgt5Bd6kgoKC0KxZswJPiIiIiB4tOZLgm9qnCuBXDwAQ5CFusHA3vQBliAVY7w2wDfTZK4N1hU3mW35lp5bMN0nZqSDYuQ4Kd0AmBwQTYBQf92HL1he87LRGiKfocY7BhJspzH4jIiKiss3lbqfHjh3DyZMnrY9//vln9O7dG2+//TZ0OraDJyIiItfYZL55BACeVQC5GkHu4ufuuboGmGi9twCXdpU2QJA2A3BVRIC4XDYxU4fMXA0dHHU79fdQQa0Qv2WzWfdNJhNnv5WgbF3Bu50Ge7nZdIW9dLfkS2mJiIiICsPl4NuYMWNw4cIFAMDly5fx/PPPw8PDAxs3bsSbb75Z5BMkIiKi8i3HIA7WqJVycxaXRyUESZZ3u5fh4h/6rOu9+bq03htgp/uoR+GCb5UkmW8AcCPXmma25zNnvslkMoRI1kK7k1p6my5Iy07dXeh2KpPJUDNEXHr6XwKDb0RERFS2uRx8u3DhAho2bAgA2LhxI9q0aYP169djzZo1+PHHH4t6fkRERFTOSTPfrFlenpURLIlX3XO17LSAJacAkJQpWYPNs3BlpxqVAiGSbqlXEx9kqTlquADYNl2w2/HUkvmmTy/UPAurMGWnAFAjWBx8u3S3ZDP5iIiIiArL5eCbIAgwmcxvknfu3Ilu3boBACIiInDv3r2inR0RERGVezmSYI2b6v7bE5U3grzFqW93XS07tQbfglyel3QNtoBCZr4BQNUg8ZpmF3NldaVkS9d8e3C+UN+y0/G0MGWngL3gGzPfiIiIqGxzOfjWtGlTzJkzB9988w12795tbcZw5coVhIaGFvkEiYiIqHzTGQyix2651jcLChAHzVwqOzVqzeufFWC9N8Bew4XCB98iQ71Fj8/Fm7PUtHojtHpxBmDuMldp5tudPDPfSrrsVPz99FC7Vu4rLTu9xLJTIiIiKuNcDr4tWbIEx44dw/jx4/HOO++gZs2aAIAffvgBrVq1KvIJEhERUflm03BBlSv45h8ies6lbqc59zPyC7DeG1D0DRcAIDJMHHw7H59m91wA4OeeR9mpvTXflPez6kw6wKS3ff4hkZadurLmGwDUCBZnByZm6pCcyaZeREREVHY5/U70woULqF27NqKiokTdTi0WLFgAhcK1N1dERET0iBME5BgE0SZ1rvcTwT7iRd+SMnNgNAlQyGX5HzvrhvmzJiTvcQ4k57EGW0HVkQTfLt/NhM5gslnvTSYDfHIF32zLTu0E3+RKQKG5n/GXAaj9Cz1fV+mNJuiN4u+nq2WnEQEeUClkouNcvpeBJp6uZy8SERERlQZOZ741atQIdevWxdSpU7F//36b5zUaDVSqwr8pJSIiokeHoEuBTpz4Zu52el+Ql7hBgUmwnyVmw5ANaO+av/aIcH1egmCTbVUUmW+1JcE3g0nA5XsZNq/J110lCjCGSho1xKdpIQjiIBcAQHX/+CXUdEGa9Qa43nBBpZCjSqA4++1SApsuEBERUdnldPAtMTER8+fPR2JiIvr06YPQ0FCMHDkSW7ZsgVZr56+vRERERPnIyUyw2eaWK/gW6GUb8LrnTNMFS9abWyCg9Mh7rB0ZOQYYTOLgln8RrPnmo1Ghop+4icT5+HTbTqfu4j9ohkky37J0RqTniNdWA1DiHU+lzRYA14NvAFBT0nThPzZdICIiojLM6eCbRqNBjx49sGLFCty+fRubN29GcHAw3nrrLQQGBqJXr15YtWoVEhJs30QTERER2aPTpthsy535plLI4S8p97yXnk/mmyAAWdfMX3tWLtC8kjNt10zzL4LMN8B23bdz9oJvkkBfqGTNNwBIsFd6qvIxf9anFW6SBZRlJ/imcXHNNwCoESLNfBMH345eTcK3h67h1M1U+xmARERERKWIyw0XAEAmk6FVq1b48MMPcebMGcTGxqJNmzZYs2YNIiIi8NlnnxX1PImIiKgcysm2DRLlznwDbEtP88180yUBhizzGmia8ALNK0lSBqpWyOFZgAwue2ybLqTblJ1KA44alcJmzbn4VDvXQeVr/qxPLfxEC0Da6VQus/1+OqOGJPPtUq7Mt5/+vYlnl+3HtE0n0X3pP2i/cBcW/H6OTRmIiIio1CpQ8E2qVq1amDx5Mv7++2/cunULnTt3LorDEhERUXlm0kOns83eUucTfLubls/6X1nXzZ/dKwDyggXMbIJhnirIZE40eXCCtOmCuexUfD5p5htgp+Op3cw3b3O3BpPevO7dQyYtO/VQKwt03WqGiINv15KykGMwQhAELN55QfRcXGIWPvvrErov/QdaO2vOEREREZU0p4NvmzZtwtChQxETE4PGjRvjxx9/tDsuMDAQtWrVKrIJEhERUTmlT4OdKkW4KcUBsyBJs4F7KcmOj2kyAFm3zF8XoNGChTSLyun13i7vAn6dDJzY6HCINPPtZko2rieJA2X2OqtKS0/tdjyVyQGlpenCwy89lTZccLXTqUV1SeabSQDi7mXhyNVkXE3MsrvPzZRs/HmOy58QERFR6eN08O3zzz/HL7/8AoVCgQ8//BCzZ88uznkRERFReadPhb2eASqFOFMqWJr5lppHM4Gsa4BgBJSegFtAgaeWLFmDzang27FvgK97AYdXAJteAg59aXdY9SAvKOXi13goLinf84X6SDqepjpoeFWC675J13wrSLMFAPByU9pk+l26m4Efj97Ic7/Y6ykFOh8RERFRcXI6+CaXy/H444+jU6dO6Ny5M/z9/YtzXkRERFTe2cl8UyvlNmWKQd7iQNS9jBxzhpuUyQCkXTR/7V2zUFOzyXzztM1EE7l+GPj1dfG2P94DMu/ZDFUr5TZrmiVlSstObc/nVNkpkCv49vDXfZOWnboXoNmChbTpwpG4ZGw9cVu0zUejFD2OvZZS4PMRERERFReng29BQUH4+uuvrY+NRq6pQURERIWgS0WO5O2EvcX5bRouZAmA1k55YcYVwKQzZ715VCrU1KQNF/LMfEuPB757ATBKFvzPSQP++sDuLtLSUyl7a76F+oqDb3a7nQK5mi6UfOZbQctOAaBWiPgardp7BRm5UiVlMmBq1zqiMSdvpsJgNBX4nERERETFweng24oVK1C9enUAgE6nw+LFi4ttUkRERFTOCSbAkGGT+WYv+CYtO72XBSD7pniQSQ9k/Gf+2ifSvPZZIUgbIAR4Ogi+mYzAd0OAjHj7zx9dA8SfstmcX/BN2u0UKEDmmyHTfoZgMZKu+VbQslMA6B6Vd6faJ2sGocvjYTbnv3Anw8EeRERERCXD6XemHh4e1q/VajWaNWtWLBMiIiKiR4AhAxBM0AniskFpswXANvMtMRswZSeIA0vp/5kfq3zMXU4LybYM1EHw7dxW4MYhxwcSTMDvbwOCINos7Xgq5edub803cfDtbnqO/SwvhRpQ3B/7kLPfsnXiYJ+7SulgZP6aVg3AsJZVHD7fr0klBHq5ISLAXbSd674RERFRaePyn4W1Wi0WLFiAbt26oWnTpmjcuLHog4iIiChfOvN6ZDkQB07U9spOJWu+GQUZkrNNgPbO/Q055pJTAPCpY65HLKTkTHHDhQBHa75d3CF+7FcZaPGKeNuV3cB/O0Wb8st8kzZXAIAwSdmpSQDuZehsxgEosdLToiw7BYC3n6mLehV9bLZ7uSnR+TFz1lvDCPE6xLHX8+iGS0RERFQCXP5z5IgRI7Bjxw7069cPzZs3t1kUmYiIiChf94NC5uBbpnWzvbLTQE/bQNS9LCAw+xbgURHIvN/hVO0HuIcWyfSSs5zMfLuyW/z4ibFA42HA2V+AtFydOU98D9TqZH1Y0c8dvu4qpGaLg3wA0D4yGCGSLDcACPBQQ6WQQW98kEUXn6a1CcoBMGcAau889KYLNt1OC9FwATBnQn42qDG6f/IP0nOt99Y9Ktwa2GsY4Ydfjt+yPnf8+sNvNEFERESUF5eDb7/++iu2bduG1q1bF8d8iIiI6FFwPyiUI4gDR/Yy39RKOfw8VEjJehCoupcFRGoTzE0Osq6aN3pVK5KpCYJgE3wLsBd8S44DUq6Jt1VrA6g9gNYTgd/eeLD9v53m9eHk5oCRTCbDi62rYsnOi9YhDSP80LNBBbzwhP1SS7lchhBvDW6mZFu3xadqgQg7g9Ulk/mm1Rdt5hsAVAn0xMIBDTB+/THojQI81AqMaVvD+nzDCF/R+AsJ6cjIMcDLreAlr0RERERFyeV3JRUrVoS3d96lEkRERER5uh8U0kESfFPIgew7QGYcYNQCgc0BpTuCvNzEwTedOyBkA6mnAEM2IFcXyVpvAJCpM4qyywAHDReu/C1+7BEEBNc1fx3ZVRx8y04CbhwBKrewbprYoRaaVPFHYoYOTav6o5K/B/IT6uMmCr4lpOfTdEGfZl5v7iFVKthkvhVB8A0Aoh8Pwy+vPonj11PwVK1gVPB7UK78eAVfKOUyGEzm75kgACdupKBVjaAiOTcRERFRYbm85tuiRYswdepUXL16tTjmQ0REROWdIdvcnVQmR45J0nDBlAokHgK0CebAUeppAECQlzj4dVd//w+BSf+aP3tGFLrDqUVypu06an52uo/aBN+qPQXI78/BLwIIeUz8/MXfRQ9lMhmeqhWM3o0qOhV4A2zXfYtPdRB8U3gAcqW1q+zDYrPmm6XsVHsXyLxunk8B1QnzwXPNKosCbwCgUSlQN1y8LhxLT4mIiKg0cfldatOmTaHValG9enV4e3sjICBA9EFERESUJ8s6ZEovSGI1UMuNgFwFeFYxZ2tl3wZyEm06nt7VugMmLZB51dzl1NNxV0xXSTudqhQy2xJGQbATfGsjflyrs/jxhe2Fnpu042l8moPgm0yWK/vt4QWisvWSbqdqhbk0OPEQkBwL3P2nWEphG0b4iR6z6QIRERGVJi6XnQ4cOBA3b97E3LlzERoayoYLRERE5Bpdivmz2hc6gzgTyk0BILQdoLgfZMq8CqSeRrBXoGjcvSwB0GcAEMwZXkrPIpuedL03fw+17fudexeAjDvibdXaih/X6gzsXfLg8Z2TQNotwKfg5bFhkuDbHUfBNwBQ+QE5Sebr7VGpwOd0hW3ZqRLQxj/IeNOlAgl/Az51Ae8ado5QMA0i/PDNgQdVGbHXU4rs2ERERESF5XLwbd++fdi/fz8aNGhQHPMhIiKi8i7nnvmzOgA5hizRU2qV6kHgzScSyL4J6FIR5CYOrt3L0Joz3gDzem9FyF7wzcZlSZdTn4pAQHXz17oUQOULRLQANL6ANlfm2cXtQJPhBZ6b02WnAKD2vz+fpAKfz1XZ9tZ8y75ufuBVHTBmm7MZU88A7mFFFjSVZr7dSctBfKqDTrBERERED5nLZad16tRBdnZ2/gOJiIiIpEwGQJ9i/tot2DbzzS3X2mcKN8C7NgAgWHFXNO5eWhag8jaXqAoGcyfRIpKcqRc99ve0t96bJPhWrY251DP9PyBhD5B0xNzZtEYH8bhClp6GeEsz33IcD7YE3/RpRXp98pIt6XaqUQgPgq1eVYHApoAm2Pw4s+jWD64e5AlvSWnw6Vtc942IiIhKB5eDbx9++CEmT56MXbt2ITExEWlpaaIPIiIiIodyEs3rpSk9AaU7ciTBN7WbpPGAVzVA6YEgjTggdi8jx3wM93BzSWOOODhXGPlmvpmMQNw/4m3V2pq7s6ZdMD/OjjcH4mpHi8dd3gUY8giY5UOayZWRY0BGjsH+YKW7OYtQEB7aum82ZadINZ9f7fsgy82zqvlzIRsw5CaXy1C3grjpwplbfF9KREREpYPLwbcuXbpg//796NChA0JCQuDv7w9/f3/4+fnB39+/OOZIRERE5YUlSHY/+0ma+aZWS8oEZXLAqzqCxA0ukZhlhEkA4FPHvCH7dpFNUdpwwd9TEnyLPwloU8Tbqj0FpJ0HBKM5Yw8A0s8DEQ0B5FovTp9pG7hzgXTNNyCfdd+spacPpwGBTdmpKdH8hXuude40oeagoElXpN+3xyQdT8/cZvCNiIiISgeX13z766+/imMeRERE9CiwlCC6BZkfGsTBGjelwnYfjwgEe50FIFg3GUxAco4CgcF1gXv7Ae0dcxaVzOW/K9pIyRJn2QVIM9+u7hM/DqgOuHsDCf+aHwc2AzKvmT+0cUDFRsDNYw/GX4gBakrKUZ3krlbAR6NEmvZBttudVC1qBHvZ30Htbw5wPYTgmyAINmWn7rgfAMsdfJPJzN1p084DmXGAR8UiOf9j0sw3Bt+IiIiolHA5+Na2bdv8BxERERFJGbWAPt389f3gm84oyXxT2gmeyZUICq4ChewKjMKDLLK4bH8EugWaGy6YdOaSVst6YoUgzXzz85Cs+XZNEnyr0gpIPW3+2qOiOeCl8jWvtaZLAao0FQffzm0Dus43B6EKIMxXgzRthvVxfCnJfNMZTTCaBNE2d4UAqP0ApaSc2LMykH7B3I1VnwaoxIGzgpBmvl1NzEJGjgFebi6/3SUiIiIqUk79efjatWsuHfTmzZsFmgwRERGVY9Yup37mRgkAdDpxoMvNXvANgMqnGqr6ibf9l+ZpDmC5h5k3aOOLZJrSNd8CcpedCgJwdb94h/D65sCfTA741DVvk8mtzSJQsY54fNoNc+lqAYVKSk/zDL6pfM3XyKgFDMXbMEtacgoAHiqIs94sFBpAc//7VkSNF2qGeEEpFwc0zzH7jYiIiEoBp4JvzZo1w6hRo3Do0CGHY1JTU/Hll1+iXr162LRpU5FNkIiIiMoJ7f313u5nvQFAjk4cOHIUfIPSA7WDxUGnC0n3x7qHmz9nF0/wTdRwIfE/IOueeIeQaubPHpXMTQ4sNMGAXAn4BAN+lcX7nN9W4PlJg293UvMIvskVD7LKijn7TdpsAQDcVTCv8WaPpfFC1g1zF9xC0qgUqBkiLr9l6SkRERGVBk7l4Z89exZz585Fly5doFKp0LRpU1SoUAEajQbJyck4c+YMTp8+jaZNm2LBggXo2rVrcc+biIiIyhrrem8PSkNz9OJAl92y0/tqhQfhtwsPsusv3s26f7wgQKa4X9ZauBLGxIwcJGbk0XBBut6bVxjgrgH0OlFQEYA5+00TCmTdBKq1Av7NVUlw7leg3VsFmqO06UKemW8AoA4AdKnm4JuHnSy0IiJd7w0APFTyB11OpTRB5ucMmUD2TfM6cIX0WLgPzsWnWx+z4ykRERGVBk5lvgUEBGDhwoW4desWli1bhtq1a+PevXu4ePEiAGDw4ME4evQo9u7dy8AbERER2dJnmINjMjngFmDeJgjI0YsznhxmvgGoVSFE9PjinftBFpkccAs0f61NKNQ0v9xzBYZc65Yp5DJUC8wVPLp2QLxD5RbmgB9gnoMuGUj4x9xsAXhQWlnpcfF+8SeA1BsFmmMFP3Hr1+tJ+ZSTPqR136Rlpyq5AJWbZ95r23lVNX/OiCuSOUibLpxl5hsRERGVAi6tQKvRaNC3b1/07du3uOZDRERE5Y3JCKQcN3/tFvigI6khEzqjAOBBcCbPzDdJ2entVC3StXp4a1SAJsQceNMmAN41CzTNpEwdvt4fJ9rWq2EF+OZuuCBttlChvvmz0hOQqYCkvYAhyxzoMuYAXtXMrze4MqDxBbSpD/Y9/xvQfJTL86wSKG5ecC0pC4IgQOYoyGUJvulTi6wjrD3SslONEoDSQRdWC48IIPXs/eYUyQ/mWkB1JU0XzsWnw2A0QakontdMRERE5Ay+EyEiIqKiYzKaO5oacx48Tjxk7mopVwG+jz0Yq0+BdJkwN6XC4aGreWVBIRN30/wv4X7XT839rDhdUoHXD/tyz2VRAEkuA159utaDAWm3geQ48U6h9593CwTSz5sDb7L7ryHtnLmjpybEvPZatVbifQu47lvlAHHwLSPHgOQsveMdlB7mjrCCydx9tZhk6cTX3UOF/INvcpW5QyxQJNlv0uBbjsGEK/cyC31cIiIiosJg8I2IiOj/2bvvOLnqcvHjnzN1ey/ZbDa9F1IhhF4SIHRQEVAEr3JtoIjiT8WC13tFsaFixUJXUWlKTYBAQnrvvWyy2d53Z3fq+f3xzOzMmS2Z2ewmJDzv12tfO+c755w5MzvZ7D77FHV8QkFo2ACVb8DRV6B6idyuehNql0mvN5sDCuZa+7H5GvHGxclcfWQouYP1jMi2ru2pCpcVOtLlwzSjveWS0NDu44nlBy1r188oZVRBbMlpXNabOwsyc+S2zQVt++V23mzICZeZtu6DUDgwVjbNevyBpdZMuASVZKd0m+p5qP4YAaZIWa63PunHS1R82WmaA3BmHvvASK+3jqMQ9PW97zHkpbsoybZmSOrQBaWUUkqdbBp8U0oppVT/hQJQv1ImVkay3WzhMs2AR8oJDTvkn9W9pNDXQ+abs48fTTprGJdnXdpz9Gh0I5L91o++b39atp/2uKy3uy6JK189tMK6XXYWBNuAELQflsBfWimkFkPGaMieJPv5w9l5Q8aBPWZ4Q8gP659M+loddhvDcq1938obPH0fFBkG0Y/AZKLiBy6kJpL5BvK+cGVLZl5H//rgxZocl/2mwTellFJKnWwafFNKKaVU/4QCUL8qXFIazmwbekX0o+BsyJoIhfOimVcRZgj8LXjjgm+9Zr75WyHYyfh8a8bX7spGCXpBdIqqN/ng2382V1q2r5tRyujCuMBReVzwrXS6PHawA0LecFltzGCF9JHyukTuc6XCiLOt51j6U+hMPjhUFld6eqj+WMG38Ovva5DXfhDE93xLTaTnW0T6SPnctv+4ry++9FQnniqllFLqZNPgm1JKKXW68TZA5+BlOAESdIrt5VYwL9zbLJz1ZnNCSiFkjeu5iX64+b8vaA2m9TpwIZzNNrbIWsa4tyEEnVWy4S6QYQKBjmi2WQJ8gVC3zLHb5o2w7tTRBNXbrGuRfm+RYFH6SLC7o/fbHJA2TG5HSk9nXBd33gZY8euErzWip6ELfXJmyrWZoUGbetqt7NRll153iUgtlesLdEgW5XGIn3i6/WgLpmn2srdSSiml1ODrV/DtySef5Nxzz2Xo0KEcOnQIgIcffpgXX3xxQC9OKaWUUklqPwS170HdCpkiOVhBh9Y90j/M5pAMN1dOcseHA0DxmW+9DlwIB9/GDy20LFe0GrQ17JMNmz2mt1ni2W9HGj3dXqaxRXEZW7teBWJ2srshpxgISc87kHLTeJGMLtMPIR/kFcP4K6z7rHgE2pPrxTYiL92yXX6szDcY9NLTbplvLkfiB9vs0Sm1rXuOK/stvuy0vt3Hiv2D1+tOKaWUUupYkg6+/fa3v+Xee+/lyiuvpKmpiWBQftDKycnh4YcfHujrU0oppVSi2g5A4+boduteaFjb7+mfvfI1yRRPgJwzkg+8hc8RCEEoLujVY+ZbKCDlksCoklLiZg2wt6oxOsWzH33fDsVljeWmOclKcVp32vpP6/boi8D0SIadPVUGLjhzup/cmQnuPDCcEnwDmPdpIOZJ+Npg8XfAl0AALWx4XObboYYEJnoOcvAtvudbmtvZy569SBsRzn7zHFf22/C8tG498X6xeA8AzR1+nlp5iDd3VGs2nFJKKaVOmKSDb7/61a949NFHuf/++7Hbo3+dnjNnDlu2bBnQi1NKKaVUgtoOQNNWuZ05BvJmSQlmRxXUrRy4DLhQABrWR4cLpJX27zy+xm7DFgDcPQXfvPWSCeVIIyUti5H51qyv3fVEJ426i6LHJBh0jM8aGx53ftrrYN/b1rWJl8trEOqUgFFKERhxUcGISPZbyA+YkJEBZ3zUus+Gp+Bnk+DFu+CV++Dlr8Cyn/faD254XM+36hYvnf4eXtBYXX3fmqLZegOow2d9vVNdrl727IXNDhlj5PZxZL/ZbAafuXCMZW3VgQaeWnmI+T97h2+9sJVPPb6Wn76xu1/nV0oppZRKVtLBtwMHDjBz5sxu6263m/b2BP7qqpRSSqmBZYakxBQgcxxkT5agWOE50nvN1yjlqAOheTsE2sGeAjnT+neOoA8CHrw9xMZ6Dr7Vhu+UktP4ktC9jQZ0HIVgJzgzwJEur0mCGV7xwwriA1tsex7MmGCVIxWGz5DbkaBmJOOuJ6klkhlnT5PAl68eLviKlOzG6myCDU/C6j/Amj/C4gfgj/OhuXsWWLdrBA4fq++bI12u3Qx1ZRIOpG5lp+6U5E+SPlJeq4AHPBX9vpab5gyjJNv6+N96YSu1rd6u7d8s2cvWiuZ+P4ZSSimlVKKSDr6NGjWKjRs3dlt/9dVXmTx58kBck1JKKaWS4WuU4JDdDdkTo+uuXJk2CtCyU4Jex8PbEA3i5c6MDldIlr8JAJ+tewCpx55vkRLScIBrfLF16MLuJqcEwdoOhvcL916LDGI4hvhhBSPiA1tb/2XdnrAQzHaZYmrYJeOtr+CbYYP04eGSyna51tQUOP8rx764ul3wxwVQvd2ynO52UJDhtqwdc+IpDGrpqSe+7DSlH8G32N5vLTv7naHndtj5/MVj+9wnZMJ3XtxKKL72WSmllFJqgCUdfLvvvvv4whe+wN///ndM02T16tX83//9H9/85je57777BuMalVJKKdWXSCAlEliJlT4CnFlS8tiyo/+PYYagaVP4nMMhpYfHSpRXsq68Rla3u7r1fAt2SsDKMLrKJscVWzPf9jSEj2k/JNfZFXyrSajctjyuX5qln1rTYShfYT1g6g3ga5aJrc4sCXIeKxCZHp6eatgkaNdRCRd9Az72Lxg7v+9jW4/CX66Aoxssy/ETT+N71/XIFRlIMfADCDq7Zb4lWXYakTEKHGnytW/d0+/r6Sn7Ld768ib+tf74pqsqpZRSSh1LEmOoxCc/+UkCgQBf+9rX8Hg83HrrrZSWlvKLX/yCm2++eTCuUSmllFJ96Sv4ZhhSHlr7HrSXS+DMlZv8Y7TuCw8XcEtZ63Fdr2Sy+ey5gHUwgsthA28bvPsQNB6CcRdCQQG4srsCXOOKrJlvFc0+Gn0ucl0+CbilFElJZ9ArAbI+BkKYptl35tu256wHpGTDsBnQvEnO73ZF+8z1xZEGKYUQ7JBrtKeCGYBx8+Wjfp9k2DUfkeyvA+9C/d7o8Z3N8Nx/w+dXgU2CjcPz0lh3qLFrl/L6JIYu+JskINvf7MUedCs7dfYyufZYDBtkT4H6NdC2D9LLpGQ2SW6Hnc9fNIZvv7itz/1++OpOLpsyhOzUgXstlFJKKaViJZ35BnDnnXdy6NAhampqqKqq4vDhw3zqU58a6GtTSiml1LGEglJ2Cj0H30CmbaaXye2mvgMRPQq0R6ebZk85voBN0CtZY0CnLdtyl8NmYA/54a83w3u/gO0vwItfhn//D9Qd7dpvXHEGKU7rjzDrG8IZXZ7DErzpmnpa3efl1LR66fRbG/uPiAxcME3Y8g/rAZOuhWCzlPlGkupSi/t+zhHpIyXo5m+TwFtsH778MXDh1+DaX8LVP4dPLYKyudbj63bD7te6NuP7vsUHEXvkSA33xDMHPPutW9mpq5/BN4DUIRKsNEPSZ7CfbjqzjMkl0QzLGWU5/PIWa+/i+nYfv3l7b/yhSimllFIDpl/Bt4iCggKKihL4a69SSimlBoevXgIpjjT56E3WJAlK+RqhM8l+X01bwuWchf2fbhoR6d/mysZnWhPwXQ4DXv4yHFxqPaZmDzz7GfjPvRD047TbmD4sx7LL2upwiWNntQT4ukpP+w6+xQesXA4bRZnhXmq7X4equEnu0z4smYaBVhnuYE+R0tNEpBTL/u4C8DZKSWXQ2/O+aXnwiRehKC7LcPkvu272q+wUYgKTNX3vlwRfIMT+2jbLWmbKcWaSZU+VzM2OKuis7dcp3A47T316Lt+9ZjI/vHEaz35mHtdOH8qCydaA6b/WVxDU3m9KKaWUGiRJB99mzpzJrFmzun3Mnj2bc889l9tvv5233357MK5VKaWUUvH6KjmNZXdLySlAWxJZPpHAh2Hr/3TTWOGSU9xF+ALWjLNP21+GDU/1fuzaP0lWnLeNOSOtpbPrDrdLealpQkdFtBTU1yy9w3rR06RTm82AoB/e+JZ15+wyKDtTMtd8TeDIjAb5EmEY0vvNXQBBD4QCMlSgN85UOPdL1rXyFXB4DdA9+HakoSOxAFIk+OYduODbe3vraO20jq+dNSLn+E7qzID0UXK7easEgPshL93FJ88dxc1nDe/qKfj/rpho2aeuzcvqAwM/AVYppZRSCvoRfLviiivYv38/6enpXHzxxVx00UVkZGSwb98+zjzzTCorK5k/fz4vvvjiYFyvUkoppWIlGnwDyBgjAaDO2q7Szz6FgtC8LXpsP/puWZhmNIMppQhvTPBtnm0b95h9BN4i9i6Gx65kXpE10LPpSBM+dzgrr/0w2F3R3nZ9ZL/F90nr6ve29i9QH9fs/5JvgT9c4hvySV+51CHHvuZY6cOlZ5szBwJt0oevr6/F1A9B5lDrWjj7rSyu7NQXDFHV0nugsYsrX4KpgQ4JJA6Al7dUWrZnlWVRkp16/CfOGi+BY38btB04/vOFjS3KYFKJNWPxlbjnoJRSSik1UJIOvtXV1fGVr3yFpUuX8tOf/pSf/exnvPvuu3z1q1+lvb2dN954g29961t8//vfH4zrVUoppVREyB8N3CQSfHOkQWo4kNO279j7t+2HgEdKJTPH9f86I3yN0Sb/rlxL5tvn7C9hIy5ra+EDMPdjEkiLVbmJeUtuYYxR0bXkDYTY2pgpQSV/i7wukaw0z1F6E1+qOTw/DToaYcmD1h2HzoRpN4VLTtuld5thT+x1j2VPgdRScGbKMAgzIGW9vkbJ7AoFwFMBDRvC/flCcPbnrOfY8W+o30dhhrtbX7Xy+gRKT232rsmxA5H95guEeGNblWXtyjOOszw5wuaUkmmQvoO9len2w1XTrIHTV7dWaempUkoppQZF0sG3Z599lltuuaXb+s0338yzzz4LwC233MKuXbuO/+qUUkop1btI1pszU7KDEpE5Vj53HJXAWm8CHdKTDGS6qe04mudHRHqMpRSCYeANSIN+Nz7m2uLKLy++H0bOhGkL4ZYnIDXPcre9uZzn3d9jjhE9bv3h1mgmmudwtD+dt67X5xpfdjoiLw3e/Ql0xJUgXv4DyVjz1kn2myNLyjeNfrTPzZkqgVBXAbQflMBbzTI4+hpUvg4N68FzRIKfVW/C+PPAHTvh1YSVv8EwjB6GLiQw8RQGtO/be/vqaIkrOb1yWslxn7dL2jApKQ4FoGXHgJ02/hrr2rysORj9uvuDIf73P9v58G+X89sl+7rer0oppZRSyUr6J8aUlBSWL1/ebX358uWkpKQAEAqFcLsT/CVAKaWUUv2TTMlphDMrPEXS7Dv7rXmrTPR05x3/kIWImH5vQFfm22zbbtyGP7qfYYM5nwR/q2yPulSmf+aOtJwuizaedj3IfNs6ANYebIS0cF87zxGwueW5ggTjenA4LvNtorMSVv3OutOka2HEOZJRF+iQz86M5Pq9xbI5IW+2TB51F0kJK0gWXKANvLXyWrXtl+vu2A+TL7OeY+u/IOjvVnoaH0zsVaQnnrdeyouPwyubreWaM4c6GZozACWnEYYhAUuQkuLIdN/jNLowg4lDMi1rsaWnP1u0mz8uO8DaQ4386LWdXPur99hyJIFybaWUUkqpOEkH3+6++24++9nP8qUvfYmnnnqKp59+mi996Ut87nOf44tf/CIAr7/+OjNnzjzGmZRSSil1XLzhLJ1kSx8zwtlvniOSTRSvo1IGLRjGwAxZACkXjJTIpliDb+fatlr3LZkBtvB1OTOl7LRgLHxqMQydZdnVbfj5lfNXTDP2s/ZQI6YrX4JaIT90VkaDce3lEnCM0eYNUN/ui1kxOWPzD6yvic0JC74nt1v3QcgLhkv6vfU3+AaSyZU9WYKhNpdcW7ATsIG7UIJj6aMkgNi0FYaNsh7f0QgHlzEybujC/toEM9+cGfI6mSGZmNtP/mCIN7Zbe+pdNSmn3+frlSsX0svkdtPWbl/L/orPfouUnrZ5Azy54pDlvl3VrVz/m/f47ZIESraVUkoppWIkHXz71re+xaOPPsrq1av54he/yN13383q1at59NFHuf/++wH47Gc/y7///e8Bv1illFJKhZmmZEmBBHCSkVIgwxNCASk/jRXySw8ykCBdsufuTUe4P5sru6tE1ttb8G30RZKRBdHeZAAZhXDHf2D8FZbdUw0fj7p+ir2tkvLGjpiA2yEpQ7U5JbDlrbUcdyhu2MJC+xrSjiy1Xss5d0HeaClb7aiQKaepJRIMiu9Fl6yMUZA5Rq7PMKSPnCNNzp9/JuTPkoEDKcXg8EH+SOvxO15ibFGGZWlPTWvij+8+/tLT9/bW0dzht6wtnHYcQcm+ZE2SoKevqddMxmTFB99qW72sPdjAv9Ydoc3bPTAdDJn86LWd/HPdkQF5fKWUUkp9MCQVfAsEAnzve9/jggsuYMWKFTQ0NNDQ0MCKFSu49dZbu/ZLTU3tKkFVSiml1CAIdkjWkmGToE2y0mMywmI1b5MsNWeGBH4GQtAHLbvDjzuia9kXCJFFO9OMuCmWoy8EXzirz5Vvvc+VDh99GqZb+88OMRr5g+tnbNh7VJ6bYUhmYMADaeGMqXZrJlPscIJUOvmuM27aalYpnP9Vud22P5pt5Ug/vqy3WNmTYegVUHoVlFwGJZdD/hwJGqYNg8JzoPBcGe5QMsx67I5/M67Qmvl2sN6TeG+yAej79tfV1vfPjGKT0vz8XvY+TnY3ZIbfk807JFB8nMYWZTCh2Fp6+tt39vH4ioN9HvftF7aypzqJQKdSSimlPtCSCr45HA5+/OMfEwxqw1mllFLqpIpkvTnSJdCUrLQyOc7XKD3MQIIw7eGMopzp/Rsm0JPWXRIocWZFs9IAbyDI2bbt2I2YEkJHCpTNjfZ7c2V3P5/dAdf+Ckaeb1mebtvPsJXfkYmikawuT3k00NhZbZmWWR7T7+0LjhcZQp31cS77X3BnyDHth6QnmyMc7EqxTso8boZNgks2R/f7sqdIllzJaOt6ey0TfNaswWDI5GBdon3fCuQ9EGiXjyQt3VPL69viSk7HEn2NBkPGKAkMh2ICusfpqjOs2W9LdtV2K9+9ZvpQy3aHP8gXnllPh09/JlZKKaXUsSX9U/X8+fNZsmTJIFyKUkoppRLWFXzL6Hu/ztpocC2W3R0NILWXS4ZYwwbZzhglgxYGgr81mnGWPcUSKPQFQt1LTsvmghEKZ/XZwd5LIMfuhJueoDnVmg02p/EV2PdWNMOu/bAEKF254SET0Sy7Q+Hg20ijkjvtL1vPP+oCmHKD3G47INcT8IAjU/rQOY/xug8kmx2GXA6Z+ZBl7e+XvvcVSrKt1Qa7E83IsjmimYWd1X3vG8cXCPHdl7ZZ1nJTTD5yRtrABW17YtggOzJ84UDP7+0kffzsERRk9F5CPL44g1/ePINb5w63rO+ubuOBuNdAKaWUUqonSf90tHDhQr7xjW/w1a9+lb/+9a+89NJLlg+llFJKnQD+YwTfgj6oXwt1K6FmqQTh4qXH9EarXyXZRK5sKYUcKM3bJOiVOkR6zcXwBkKca4sLXoy+MJr15szoO6svLY8jCx+jxbSW3fpf/BLY0iUDLuST4REZ4ayxtr3SM4xI2anJdx1P4DZihyw4YOGP5bE7ayXIE1vimDUhiRdggKQNkQmppWOt6zte6lZ6uqemLfHz9rP09LEVh7plh31tnklORmYvRwyglEJ5P5mmvMd7GhqShLx0Fw9/dGavb7XbzxmJYRh85+rJ3aaj/n3tYZbtqet+kGlC807591e9BCrfGLBMPaWUUkqdepIOvn3uc5+jurqan/3sZ3zsYx/j+uuv7/q44YYbBuMalVJKKRUvUibYUwZWZy3ULJGppSBZW/VrotNRI9yFMvGydQ+0HZSpm3lnDlzmkqdCrsWwSdZbHJenmrG2uIEPoy+KZjMlMOxh4tQ5POL4hGXN2VIOSx6MBhfb9kHaUPkwTWhYD6EAR5s7WGBbx8X2TdaTzv0sFE6Alj0SPAkFIBjOenNlD3zJaaKKL4HSuD58rZVcnGHtZZdUL7JI7zpvfcJBrCYv/HrJfsva9BIXH52MvEYnQs50Ca4G2qFx43Gf7rxxBdx18dhu61kpDm6YWQpAitPOrz82i3SX3bLPd17a2jW5t4vnsPy76qyVYHLQK9vBzuO+VqWUUkqdepL+6ToUCvX6ob3glFJKqRMktudbrJBfAm2RoQlF50l2kxmU7LZw1hcgmV2GXQIv3jrJrHL0Y3hDj9fngabNcjtzXI99wIY3r7Zsd9gzoWQGBMLBowQCOXabgXfax1kVmmi9Y+VvoLkxOh2zoxJyzogGbJq30dzSynccT1qPyxgC8/5bgm4tO2UtdQg4s+X1yprYvx57A8GZDkPPhMxcy/K8zmWW7aQy35wZ8h4yQ/IeSMCSShuemF5nhgH/c4kbm8GJK8e1u2QwhWGTr23b/mMfcwxfunQcZ42yllt/9Mwy0lzRPnxjCjO4/yprZuj+2nb+/F7M0JBQEFp2ye2MUVBwdrjsOSRBbqWUUkp94AxiUw6llFJKDYpQIJpBE1922lktgTZnBhReIL/0580Bd74c17BWggAgGWbeRrntzB64RvmmCY0b5PHceRJ868Hw1g2W7fLMmdLfrKvsNLEsqoVnlPIN/6fxms6YawjBc58FR6Fst+wEwwF5swBoayznc8GnKbPFleOefRu0bJZAlGGD3Olgc8t97rxomebJkjcThlpfz1F1S4Do0IqDde3dM7H6Esl+S6DvWyhksqHeGny8aXYZ0wt6eT8OJldutES6aZsETD1HJNjaug/qVkHte9LLsGVX98zPOA67jUduncnM4TkAnDkyly/N7z7x9+Yzy5g+zDoI5Jdv7qGyuUM22vbJv09HmlxfSiFkhrPq2g9KcE4ppZRSHyg9jNQ6tvb2dt555x3Ky8vx+XyW+774xS8OyIUppZRSqheRrDe7G2xO632RUtPUoRLIAvmcfxZUvw2BDgkApI2AhnVyfPoICSp5jkBW92BD0lp3S6DD5oDcmb1mipV6dlm2j+bMYoIZij6/BMpOAc4cmUdL+ih+0XEDX3M+G72j8QAs/jFceIf0yPMcllLUrAl4lvyOTztetZwnWDwR+4gzJOiWVgaZY6R0NjIwImtSQtczqLImQtkU2BXNGnS3HWaCcZhdppTZBkImB+vbGV+cYAloSpFkjnVWS+C0j8y+TRXNNPms93/ynGEQDL9GJzL4BpJZFhnq0Vnbc29DIkG33fJez57c81RZoCgzhec/fy7t3gDp7p73sdkM/ue6qVz/m/cwwzFPjy/I/728g0c+OgVa98pi1qRoCXdKsWQYBtrlfZgxst9PWSmllFKnnqSDbxs2bODKK6/E4/HQ3t5OXl4edXV1pKWlUVRUpME3pZRSarBF+r11KzkNRBvnp5ZY77M5ZFBA4yZp/O5tkICUPQWKL4XmrRIUyBx3fGWV/jbpbQVS5tlbNl3AyxDfQctSU84UCbyZplyvPaXnY+PYbQYLpw7hDyuvZoF9PTNte6N37n4NisbCxLMl+ym1FGorKNjwuPWyTTvOi+6G7AkSoDGc0LQRPOGedJljB24C7PGwOWHERZD6T+iI9na7MW0TD7ZHp3HuqW5LPPjmzpfXO+iVbEhXdq+7vrrVmh03ujCdCXkm1CEly70EtQgFIdACfg94ayUbLK00ses7ltwzooFSzxEZsuHODz8vNwQ75HlFAqneGsiZ0W0ASJfOWtI7KsBjk9fbnirBWFu019v0shw+OqeMv6053LX2n82VfHZmiKmZQcnKSxsqr2lHBXRURwPlbfvD77GTVL6slFJKqRMu6bLTL3/5y1xzzTU0NDSQmprKypUrOXToELNnz+YnP/nJYFyjUkoppWJ19XuLLzmtkXJLR1rPWWNpZVLK2VkH9eHMqbxZkg1mc0ifNl/fpXnH1LZPgmcpxX0HV2p24MBafufJnRRTcppY1lvEldNKCODg874vUW/GBZ2W/RqWPwG1e2DxN+DZT2AzrcMFfpH6eZj0cQlQBjxQu1QCb5HS0+z3QdZbRO4MGDrGsrTAts6yvTuZoQuGDdzhQFRc6WkwZLK1opmGdh+hkMlr26z3XzWtBCMYCQb3kvVmhuDIi7DvMdj3KBz+F+x9FBq3JH6Nx+JIl6zNIZfA0Csg/0yZcJtWKoHTvFlQME/+bQQ6oG4FNG2xDpnwNUvpat1KaD8sgbrWvbJf/epu5aJfu2Ii2anWzNOH362SG1kTZbBH1SIpifXWScA76JXgeQIlvkoppZQ6fSSd+bZx40Z+//vfY7fbsdvteL1eRo8ezUMPPcTtt9/OjTfeOBjXqZRSSqmIXoNvkZLTuKy3CMOQUrj6deBvhvy5kh0EUqbaXi7Zb5G1ZAU7JfMIoj2uelNpnTB6IFSMMy0nGnxLcmrmWaPyKMhwU9mWz93+u3nS+SB2I9IHzYTtb8hHD34TuJZNhdfI9TdvlwwpkOmv+XP6/3oMlrRhMGI27NvYtTTav5sh1FOFXOveZIYugARLO6okKBQuPa5u6eS/HlvDtqMtZLgd3DZvBJXN1mmdV04rgUD4a95b8K39cHgiqQHONMAu77/Dz0sfvpwTFNhMKYCiC+Vr3H5Ihh901kjgzt8igTGQYGT6cMmaC/nBUy7Bs4Y1Mg04nAGXl+7iMxeO5qHXouXTiw8YbG3JZ2pWo7yPzHDALvJv1gxKBlz7IRnkoZRSSqkPhKQz35xOJ0Y4Tb64uJjy8nIAsrOzu24rpZRSahD5ewi+maHeS05jObOAAGBKYCEirUw+e45as4GS0XZArsOdd+wSzarNls1t5khSXfbopNMEhy1E2G0GV0yVwQHLQ1P5aeAjCR33SvAsfhy4iSJ3O1Qtjgbe0kdA8cXvv8AbSJbi2IXgdFuW59vXd91OKvMNokMXfE0Q8FDd0sktf1jJtqMtALR5A/x2yT7LIaML0pk4JFMyxqD3r9mOv8LiJ+GFX8JLv4E3noBVb0BTpWTBNe9M7lqPh80hZaoFZ0uZbMAjfeKCXglOp5XK1z1nmgQhc6ZIkNqwy36xA0uAT8wbSW6aNfvtF6tMGfDRugd8jXKsPU3KTc0gdByVCcMx51FKKaXU6S3p4NvMmTNZu3YtABdffDHf+c53ePrpp7nnnnuYNm3agF+gUkoppWKYZrTnmzMm+NZZI0Ezewo4c3o/vv0QpJZJEM5XH52a6s6TDCAzGB3akIxQIDqYIGNM3/tCt8y3baFRpLns/c58A7h8SjST6LfBa/l54COYdnev+78cPIt7/Z/DxEax2yOvrTsfii6QAI3dlfQ1nDA5k6HEml14mW1t1+0Dde34g0kEd+zurtLTmppybvnDSvbXtfd5yJXTSjDMULRU2dVDoLKtEhb/AlobwgHiJmg6BEd3wrIXJAB35AVo2ZP4tQ6ElEIoughypkpZcdH5ULJQylPj+xS686AgEoCrgfpoAC7D7eDT54+y7L5oVyPbDh2R4La7QP5dufMhbbj0f+uskve5t/4EPVmllFJKnWxJB99+8IMfUFIif1H//ve/T35+Pp/73OeoqanhD3/4w4BfoFJKKaViBDslQGbYJJsmoiOm5LS3Ru5mSEronJnS28wMQWtMNlNX9tvhno/vi6dcgg3OjGgWVW9CQajaalnaZo4g1WHEBBaTD77NGZGH0y7P3cTGLwI3sPzqN+Gs/44G0gw7TL6G+7J+yBf899CJBOeG5OVI0K3wnD4HDrxvpBRJ6WmMs23bycQDhCeeHiN41k1aKcEQ/NffDhwz8AbhklNfOKhmT7EGgyPW/ga8np5P4PPAyv9Aa7UE4Fr39rzfYLE5ZFpq+nBw5VgGKnTjzpeJwYZNSnMb1snzDgW5fYqPHLdp2f1n6zIx00dJht2QS+R9lTEC7OlSctt+SAZPKKWUUuoDIeng25w5c7j44osBKCws5JVXXqGlpYX169czffr0Ab9ApZRSSsXo6veWZg2yJVJy2lEl5XX2FAkkgAQBIuWnacPks7deyvESZZpSUgeS9XasKY51e6TpfYxtoZGk2nyyYXNJJlaSUl12ZpTlWNberXLAlT+GL2+Dj/1TPt/0FCv8Eyz7FRWPPTWCbhE2J0y4xhIwchlBLrRFMwr3JNv3LbWEdw/b2FpjzZhLd3UPSo3MT2NSSab0QoPowIZYgQ5Y/9e+H7O9CVa8Au21cOQ/0Lw7uWs+kVIKogG4jiqoXgKVr5Hh28+dM63BtzeP5vK3QyPBXUBr1T6Wv/0y/9xs4/H9Y3hq7zB2V9ZKLzyllFJKfSAkHXxTSiml1EnU07CFQAeEfBL0cuX2fmz7QfmcPlyavTuzJIuu7UD4nKlSjgfRwQmJ6KyRa7C5ogG8vsT1e6s086gnmzRbOCCX5KTTWHNHWUsfV+0Pl0RmFMG4BZBVgmma1LR4LfsVZyUf7DvpcsZDsbXk8Qr76q7bm440JXc+m5P1tdaSy9KcVBZ/5UI+fvZwy/pNc0qlB3Bfwbetf4OWuOyuK38CpdaMPZqrYM0b0FENla9B3Zr+9x0cbCmFMknVsEmWZjjr7xPnjCEvNRqkPNu2nVFv3oP3f4eR+btZnLP0dq5ddgNr3lvDtzZM4orFF7B425Fo2bdSSimlTmtJB9+qq6u57bbbGDp0KA6Ho2vqaeRDKaWUUoOop+CbP9zw3pEpQYEej2uXjDbDkN5TEJ1I2nZASkHBWnpqmt3P05NImWrasN4fP1a3fm8j5HBbONuuHyWnEWePtgbftlQ00+a1BnIaPX58cf3QhmSn9PsxT5rUITByjmXpEttGUpDA4ts7a5I+5cYa689yV59RQkl2Kv9z7VQeuGYy80bnsaA0xB3zRkjGZOS9Fwnaxlr9qHW7aAqc+Wm49R+QHzcNt+YAbFwmgdzapVCzRCaQvh+lFEkZac5UKL4IShaQmT+WB8+pBmCMUcFjzh9xtm0b7mA0+9BlBPmR8w8MN6oJYeO7K7LxtfWjv6JSSimlTjmOZA+44447KC8v59vf/jYlJSVdk0+VUkopdQJEeqI50qNrkSBFXxljkQwlV75kuAGkDgXHTikx9ZRL/6uUIdILK+CRfl7HmvYZ9EkPLID0ssSeQ3zwzZTsrVQimW/9D77NGpGD027gD0rgMBgyWXuwgYsmFHXtU9VszTYyDCjIOAUz3+wpMOFqWPn3rkBpmuHlYttGXg3NZXd1G4cbPJTlpR3jRCIUMtl01FoOPD1cxmuzGdxx7ig+dtYwXnnlFZx2W3hipym93uxxwcuKdXB0m3Vt3uflxU7Ph4//C/50GbRVR+8v3wxpeTB5lgw18LdA1kTIHC/vyZMh4JMJvClx/w5cudYs07r3uLxoL/81IcjVB35PiuGnJ+mGlx87f8/Nvm9R4UnlX6t2cstlo3rcVymllFKnj6R/klm2bBlLly5lxowZg3A5SimllOpTpBebJfgWzj7qq2dZZLKiOy+6ZhiS/da4Gdr2QfoI6SGWOhTayyWj7VjBt44KKb1zZSdWLmqa3cpOuzLf7OHAjz2xYFFP0lwOpg/LYe2hxq61VQeswbfqVmvwLT/dLcGkU1HeRCgeA1XRYQVX2VfyamguAG/uqOaOcxML7hyob6el05olGN9Dz6KvktOVj1i30wth6oej27kjJQD3lyvBG5PhtnOJBIcnnwmNW8DXAp4KyDkDUo8xyGOg+BqhbrVkhHZWSWl2SpEMT8id1X0wQ0c1VL8LwDdLtuA41PfgiLm2nfyX/TX+FLySX6/q4EMXB3E5tXpEKaWUOp0l/ZNmWVkZZqJlKEoppZQaOKYJwXDwLTZAFQm+ORMIvrnigmlpZTLcINABHUejawCeo8fuvdVVcppg1lvTIehstixtDUlwKMWIBN9SEztXL+aOzrNsr9xfb9muabEG34Zkn4JZbxGpQ2D0OZalS2wbSUWe45tJlJ5uOtxk2S5Kh5KMPn5UjEzrjA++hUKw6w3r2pl3gjMuO27INLj56egk2oitr8LaxZA6DDqOQNMWqH0PGjZEh4MMhlBAppju+R3ULgsHlsPl2J01cOQl2P4QVL0lQXAzBE3b4dBfwQxAIAXH2mcspzwQKuZG4+e0x/VC/Jrj74wxKjjS7ua51TsG7zkppZRS6n0h6eDbww8/zNe//nUOHjx43A/+4IMPcuaZZ5KZmUlRURHXX389u3btsuxjmiYPPPAAQ4cOJTU1lYsuuoht26xlDF6vl7vvvpuCggLS09O59tprOXLE2ii6sbGR2267jezsbLKzs7nttttoamo67ueglFJKnTDBTgnAGbZomV/IH50c2lvmWcAjx/Y0kMGwQcZoud26R87vzpPMOjMIHX30pPK3gK9ZzpFamthzqLRmvTWaGRwln1SnDVsk0HGcwbf4vm+bjzTTHtP3rao5bthC5inY7y3CmQnjLrFMmI2UnoIEHuN73vVmY1zwbXqRidHWy/TRYCf4w/3M4oNvdbvBFzdpdebHej7PqAvght8DcW1M9i+Ht/4CjlIJDjdvg+YdUP22ZJolI+SXYzqq5P0aH8AL+qB1Hxx+Ho78W/69pBTB0Ctg/F0w6f9B4fkS8A565Bp2/hx2/lICb956MBywfjEEooHdEAYrp/0Pv7/3Y6TfZH2ObsPPfY5nAXhkyQH8cT0IlVJKKXV6SSj4lpubS15eHnl5edx8880sWbKEMWPGkJmZ2bUe+UjGO++8wxe+8AVWrlzJokWLCAQCXHbZZbS3t3ft89BDD/Gzn/2MRx55hDVr1jBkyBAWLFhAa2tr1z733HMPzz//PH/7299YtmwZbW1tXH311QSDwa59br31VjZu3Mhrr73Ga6+9xsaNG7ntttuSul6llFLqpIr0e7OnRoMtvsiwhTSwOXs+zhee+OnM6V4yB5A+Uo71t0X7t0Uy2doP9X497eGst5Ti7tlLvTm6wbK5NTQSMEhzha/L5ur5GpMwe0QuDls00BEMmZYy1Piy06KsUzj4BpA3AYaMtyxdaV8FgD9osnR3bU9HdRMffJtRbMrX39/afeeuHoLZ3d93h1dat7OGQXYfU3Cn3gg3/K57X7fKLfD8d6CqGjLGgOeglILWrTp2FlwoAK17oWYpVL4umWw1y6B6CRx9DY6+CtXvQO1yqPgPVLwMTZvlGvLOhLF3QuG5UurqyoChl8Gk+6D0KnDlSfDRVy/PPW82NKVBxXrLJdjmfpZbPnIzhZluGHkenP15y/0LbGsZSh1HWm28uKGi9+eilFJKqVNeQj3fHn744UF58Ndee82y/Ze//IWioiLWrVvHBRdcgGmaPPzww9x///3ceOONADz++OMUFxfzzDPP8JnPfIbm5mb+9Kc/8eSTTzJ//nwAnnrqKcrKyli8eDGXX345O3bs4LXXXmPlypXMnSs9UB599FHmzZvHrl27mDBhQrdr83q9eL3Rv4y3tEg/Er/fj98/iCUPJ1DkeZwuz0ed/vQ9q051x/0e9jZjBAPgcGNGztFRL2vO9OhavPYqjGAA054Jve3jLsVo2wtNOzEd+eAqwQhug45aTE9996w6M4TRehBCAUzXkN7PG8d+8D3LX/62mJJ1l+owCAQDYOvjeSTIacAZw7JZX97UtbZ8Ty3njMoBoKrJOlSgMMN5an9fcRRgGzUPe2W0euBS2wZS6aSDFBZtr2L+xB76ssXw+oPsqLROFz2jNJtAoB7qN2Hmy89Pfr8fwwwQbNqBQQDTntvta28/uMzyNQ6VziZ4rNd38ocwUgux/+t2DG9MsM/bAm/9gtDo8wjN/SgEmqB5p2SYtVdiZoyCtBHRAKAZAs8hjNa9MhnY1wi+eoxQQAJrQfnZzrQ5JdBr2DB8jWBPw0wZhpk7E3KmQ8CEul0YdbvkPT50FmSVQvZsyJwOLdul3DtnBrTW4Hj3M5bcPTN3FIELv2F9bc77Ko71j2OEswLthsnHHIv5ceBmXt2wm+umD+n7NVIDSn+mUKc6fQ+rU9np8v5N5voTCr7dfvvt/b6YZDQ3y1/vIxl0Bw4coKqqissuu6xrH7fbzYUXXsjy5cv5zGc+w7p16/D7/ZZ9hg4dytSpU1m+fDmXX345K1asIDs7uyvwBnD22WeTnZ3N8uXLewy+Pfjgg3zve9/rtv7GG2+Qltb/RtDvR4sWLTrZl6BUUvQ9q051/X0PZ4SOkB46isdWRKtNMo+yg/tJMetosw2j3dZzOV5BcAt2s4MmWzNe28Ee97GZfgqDm4AQDfbD+I0ssoP7SDEb6LCV02Ibadk/NVRLVugAIcNFrQ0pPT0Ge8jLlRVrLWurQpMACPnaWbt2LV4jlyZ7D5lWScoP2ohN8H95/X4mB/YAsPuIndgSwJqDu3nllV2cykq8qZyJgYH05U01fFxi28jLobN5Y0sF57vLsRm9H3+wFfzB6I+FBiZVhypZW74VCNFs20OnLQ9Mk9zQPjaubSZouKm3BTGN/ZZzXbrnXTJitre1pLP/lVcSeh6Zo77B2ft+Sprf2qfPtn8ZnUd2sHf4ZfhS0kkxd9Bh5BI0UjGx4TcysePDbnqBEC6zGbfZjM/IwU8aIcMB+IEQmCFseLATwCBAEDcdtizabBnY/duYcvTbDGlaj8P0dT1+CBuH885lz5BraXfHDH4w3+G8Pf9Hfky5qYnBsoJbaVi0pNvzm5Z1NqPrFndt32x/m18GbmTNIS8vv/xKbPWwOkH0Zwp1qtP3sDqVnervX4/Hk/C+SU87feWVV7Db7Vx++eWW9TfeeINgMMjChQuTPSUgvd3uvfdezjvvPKZOnQpAVVUVAMXF1ulWxcXFHDp0qGsfl8tFbm5ut30ix1dVVVFUVES8oqKirn3ifeMb3+Dee+/t2m5paaGsrIzLLruMrKwEprmdAvx+P4sWLWLBggU4nb2UKin1PqLvWXWqO+73cOMGjI4KzKxJUoYHGDXvQKAVM+9MKf+MF/JhVEk/KXPIZZLt05vm0Rjth8BdKJlO3jqM+pVgODCL51vKAuVx8y3XcizGwXexbYq2hAiYNtaGpFyyICedOXPmYKaPguwpCZ2vL/kHGlj052ig70i7wazzLmFIVgr/u2UJEA2sXHruHC4aX3jcj3lStYzEbFyCURlt3v8h+7u8HDqbtoDBorZSvnv1JPLSe/76P77iEGyNBiDHFGZw/XWXQ8tEjLZwcC2lEH/Ixqbla5gxczb2IRd2z4jsbMGxwTrkYdKCTzCxdE7iz6XjJkJvfAPb1n9YltN89Uw7+Byhcz6FOfqacDl1CBxZ0hcOpP+htxrsw8FdCK5szNRhMsHXngIhHwQ7oh8hnwwhceVjbHoa++JvWzPvwmyEGNGwlOGN72FOuZHgufdCWgG2d36AvX2PZd/QmXdy9mVf7vm51Y2F30eDb/lGK1faVvF84HwmT5/AqGEjEn+d1HHRnynUqU7fw+pUdrq8fyMVkolIOvj29a9/nR/+8Ifd1kOhEF//+tf7HXy766672Lx5M8uWLet2nxH3Z0DTNLutxYvfp6f9+zqP2+3G7e4+/czpdJ7Sb46enI7PSZ3e9D2rTnX9fw/7wO6AlGxwOiEUBDplLa0A7D2cs6Ne7ndmgju979PnTATvUQg0gumBjBJoy5Zec4EaSA8HBjprweyQ6ZXZY3rvNRfvyGrL5lZzJO3IcIV0JzgCzdCxHzLLpGdXyCu95/qRDjR3TCFZKQ5aOqPDBt7d28BNc8qoa/dZ9i3NzTj1v6dkDodx50NM8O1C2yaKaaCaPF7ZWs3KA42MLZSctLx0F5+7aAzTy3IA2HLUGnCaOTxXXpPcqZJA6DkM/noIyutpL5iNMy1uci7AoU0Qzr6THV04hs0CRxKvr7MQPvxHmHwN/Pse6GjoussIeLG/+xuouxLO+jA4XFJeaoTkPeN0gXsMGHZIHQnt7bD7HajZJn0Jh86E0jmQPxZsNhkwsu8tePcnUL78mJdmmCGMrf/EtvVf4EwFf9xfvHNHYl/wAPbe3k8lU2DUhXDgna6l2x1v8LzvfDbu2c74UWMTf53UgNCfKdSpTt/D6lR2qr9/k7n2pINve/bsYfLkyd3WJ06cyN69e5M9HQB33303L730Eu+++y7DhkUb8g4ZIr0vqqqqKCkp6VqvqanpyoYbMmQIPp+PxsZGS/ZbTU0N55xzTtc+1dXdS3Fqa2u7ZdUppZRS71uRgQuOcBAt0CrBA5srOv00njdcvudKYCiSI00yhDwV0LZXGslnjISmbdJ4PxJ8a9snn9OGJx54Azj0nmVzdbjkFCDV5oOW3eBIhaatch0pxeBrgtwzEn+MMKfdxoUTivj3pqNda2/tqOGSiUWYpnXf4qzuf2xLWigomVjeWpkCmzEWUvruszagXLkw7kJY8QT4pQTSbph8yP4uvwleD0BDu4/V7dFA1pLdNfz59jM5Z2xB90mn4aAcNjvkTofMsdCyC9oO02Yrla9PT8rj/ohaMh0c/Xx9J18ngbJ/3A5H1ljv2/4K1B+Cy+4Dd7jINdzDDdMJmxfD+k93D45FOFIgu0z2r+uj5Dg1D/wd0YnCXcyez33dr8EVF+Q2Q9BZA85seX+fdacl+DbDto8zjH2sO5TFTd4GmTaslFJKqdNKQtNOY2VnZ7N///5u63v37iU9/Rh/UY9jmiZ33XUXzz33HG+99RajRo2y3D9q1CiGDBliqQP2+Xy88847XYG12bNn43Q6LftUVlaydevWrn3mzZtHc3Mzq1dH/+K+atUqmpubu/ZRSimlTrbnNxzhtj+t4qHXduINBK13hgJSIgcy7RSk4TvIxMneRCadunvIUupJZjjzpqNSgn2pwyRA4WuWQJi/VTLfDAMyRvV5KouAt1sAZVVoYtftVLMJOiog4JEplp6jEuRrPwAte+iP+ZOsLSeW7a3jYJ01YOK0G72WYibM3wJVi6FuJTRshKq34NDfwXPk+M6brKzRMHqeZelm5ztYMtFidPpD/Nfja/j80+s4VG99XWZEgm8RjnTIm4U5ZCHtttLer+HwKuv2sDMTvPheZJfCHa/AWZ/pfl/1Nnjmv2H96xDMhA4n7N4MT34aVv2+98AbyMCG+j29B96m3wr37oD/dwDu2QLn3iNTT3tj2GHhQzLVtOsxOqB5B1Qugvo1UPOu/Dsav1AmwMa4w/E6a2tSoH6tBOuUUkopdVpJOvh27bXXcs8997Bv376utb179/KVr3yFa6+9NqlzfeELX+Cpp57imWeeITMzk6qqKqqqqujokL8uGobBPffcww9+8AOef/55tm7dyh133EFaWhq33norIMHAT33qU3zlK1/hzTffZMOGDXz84x9n2rRpXdNPJ02axBVXXMGdd97JypUrWblyJXfeeSdXX311j8MWlFJKqRNt3aFG7n12E0v31PGbJfv4wztxf+gKhgMJNlc028wf7jPh7CX4FgrEBOgSzKZxZknGmWlC6z4p1YtkObXtj2a9pQyRTLlEVayTgEeYicGamOBbmtEBhCB/Dgy7DvJmgiMD2o9Ay05oP5z4Y4VdOL7QMmTAGwjx/AZrQKwoM+WYrSyOqXWvBEYNp2QjGjborIL9T0LV2+BvO77zJyq1BCZcaFkaTjWfG9nzIA6QANwrW6z9b1OddiYMyez5gL5eK9OEo5usa8OS6PXWG4cLrnwIPvQncMb9oTfog/VPwl+ug6c/Cu/8ELzN/X+srGFw6z/ght9CVvh9n1EIC74nQbgL7gN3bJ87A6bdBHetgbkxAUJ/C1S/HfPesMnnuuUQaIEz/8vysNfYVtDe6qOxbj+09i/YrJRSSqn3r6TLTn/84x9zxRVXMHHixK4S0SNHjnD++efzk5/8JKlz/fa3vwXgoosusqz/5S9/4Y477gDga1/7Gh0dHXz+85+nsbGRuXPn8sYbb5CZGf2h8Oc//zkOh4ObbrqJjo4OLr30Uh577DHsdnvXPk8//TRf/OIXu6aiXnvttTzyyCPJPn2llFJqUPxj7WFLOeQLGyu4+9Jx0YVAOPgWG/DyhYMM8U3vI/wtEhCxp0i5W6Iyx0JntfT5yhoPGaMli6t1rwxdMJyQmdiQhS4HrSWnlSljaemMBlLSbB2QWiqPnTsdOqokW8hzBPxN0LRJ+ta5chJ+yJw0F3NG5LH6YLTU8tm11uDbcZecBr2SJQhybaZf+tS1H5L1pk3ymhWe16/edUlx5ULJVMgZCk3RctuvFa/hqmt+xMbDTZjAu7trWbS994Dcf503Eqc96b/PQv1eiB9WMOys5M/Tm2kfhuKp8OxtULc7wYMMKJwAJTPA1wZH1kJbD8O28kZLdtv0m3svk03Lg0u+BfPugi3/gPY6mHI9FE2y7hcKQsN68DXKv8282ZBSKO9nb71kSE69FvOdH2OEy1mdRpA7HG+w/vB0Ls3dJsHtvjJalVJKKXVKSTr4lp2dzfLly1m0aBGbNm0iNTWVM844gwsuuCDpBzfjm670wDAMHnjgAR544IFe90lJSeFXv/oVv/rVr3rdJy8vj6eeeirpa1RKKaUGWyhksniHdULkvtp2Gtt95EZKIoM9BN8C4YyqvoJvfd3fG3eefHgbJOCWM1W2a5dLNlr+mRLoSUZcv7c9qWdAU3Q71QE4MyTQB5A6JFrW6ikHezo0boSiCySLKEGXTiqyBN/iDcnupVdeojyHpUzQsEu/N5DXp2Au1LwDjZslkyl9eLRn3mBKK4XxF8Lqv3YtGdtfZOrCh5haKo9/y5llfOlvG3l5S6Xl0HSXnfuvmswtZ5X177HjBxZkFEP2sJ737a+iiXDnW/Dm/8C6xyTzrTdTPyTBsrzR0TXThNYqaDwITeXgqYOC8TDmEulvl4jUHOnb1puW7fI191TKv52mTTJ5NWuCZJN2VkPnQYwZt8DaP3cddqv9Tf5UcxaXth+Bxg1Jv9eVUkop9f6VdPANJCB22WWXdWWRNTU1DeQ1KaWUUh8om440Udfm7ba+7lAj8yeHBwNFMt/s4eBb0Cu90SA6gCFef4NvAJnjwbtSMrgyxshj+Fsg2AGZSbZsCPrhsHXS6TbXNMt2mssu2T7OmHLH7MmSKZRSIkEum0Oa/mfHZRr14dJJRTz46s5e7y/KPI7gm2lCe7kE34Ie+dqkDZMsJ4DsadBZLyWzTVvkediPs7/csaSVwdjzYM2zYIb7Bvo9sOmvXWWRDruNh2+egcNu8OJGyZA7b2wBP/zQNIblJlFKHK/cGmCl7KzByfZzZ8KVP5ZMtfcehnWPy78HuwsKJ8pE0zmflM/xDAOySuRjxLzu9x+vjmrJcGsvl38njjT5d9pRCd46KDxfyk4DHTDtKsy1f8EI9+TLMjzkVG0F/zA5T9NmyJ0x8NeolFJKqRMu6T+n/ehHP+Lvf/971/ZNN91Efn4+paWlbNq0qY8jlVJKKdWTxTt6LgFcV94Y3eg26TSc9eZI6z075niCbymF4C6QwFLLdhmyYHPJur/x2MfHOroR/O2Wpc22KZbtNKcpQb5Yhg3yZknZrCtXAoFt+2TwQ4LGFGYwPK/3gNKYoj6a6B+Lt06+Lv4WsLnl9cmOeV6ZY+TD5oK2Q9Cyo/+PlShnJuSMhOEzrOsrfg3BQHQ3u42HPzqDf991Hv++6zye/NRZxxd4A6hYb90+3mELx5JdKkG4b1bAPVvhm0fhs0vh2l/2HHgbbMFOqH4L2g5KIDlvJpRcDkXnSwlpyA/NWyAzHDx2+KgberHlFAs638JnL5DhI+2HJdislFJKqVNe0sG33//+95SVSTnCokWLWLRoEa+++ioLFy7kvvvuG/ALVEoppU53i7fX9Li+7mBMkCsYl/nWFXzrJXhkmtL8H/oXfAPIDg9EqF8r/avSR0j2Vlv3qed9WvOodbtwErUh63WnOu1SMhnPmSnZP65c6aXlOSwleaFg9317YBgGl0WyB+NMHJLJtdOHJnSeHrUfCj+ITcpOM0ZbM9sMm5Qdpo+QUsOWXfI6Drb04TD1Cuta0yHY8ZJlyTAMpg3LZtqw7OMfOuHzQN0+61rpAAxbSITdCTll8vlkMU2oWSrTTe2pUHgO5EyRTDtXDuTOkvdIZy2YXinjNoOkzL7OcpphRi1Ht26UYJ2/BVp292vYiFJKKaXeX5IOvlVWVnYF3/7zn/9w0003cdlll/G1r32NNWvWDPgFKqWUUqez8noPu6pbe7xv05EmfIFQOJAW1/PNf4zgW7BDpp0att73ORZXrgS/PBUy+KDoQsni8rdCZ88Bw25qdsLmZ61rE6/E4wtYltJSMyVo0ZO0oZAzTYJKHbXSN6tle8JP47MXjenKfnM7bCycOoRHbp3Ji3edS3ZqPwM2wU6ZaBryR6fPpvUQyEspkiES7nwJ1jVtgQR63h6X1KFQMgUKR1vXl/9y8B67cqNkSUYYNiiZPjiP9X7UslOCwoYNCs7uXi7qzJAyapAAXdpwADKL8thpG2vZtXjXyxByynssFJCecd7e+xYqpZRS6v0v6eBbbm4uhw/LX+Bee+015s+fD8jwhGAwsb9CK6WUUkos6qXkFMAbCLH1aDOEvOGm/kY0QNU1bEECa/5giEAwJvjRVXKa2f++W2ZIAgCYErRxZUeHBrQkOG3y7f+T4yNcmTDvLjq81h53qanpvQffADJGShZZxmgJYtWvk4moCSjIcLP43gtZfO+FrP/2An778dlcfcZQ3I4EG+z3pKMyHMgy5bpd2b333suZIq9boB1a90cz5vpihqzBrGTYHBIInHaVdf3ohm6DLwZMfL+3gvHgPo6S3lNJZw3ULZegdMYYGbbR07+5jJESjDVD8h5IGwaGweohH7Lslhpsg5VPSYl3sF3eZ40boj0elVJKKXXKSTr4duONN3LrrbeyYMEC6uvrWbhwIQAbN25k7NixxzhaKaWUUrEWb+89+Abh0tOuYQup0V/qu3rAZbB0Ty3zHnyTSd95jV+/vVfWj6ffW0TrPvmFP3WIBA6at0kWl2GT8snO2r6PP7qxW6kj8z4PaXl4vHGZby47OPoIvgFkjYe86dJPq22/TBMNdib0VFwOG2OLMkh392vWVHedka9bOLCY2kf5qiNdhkSkDYO2AxJICXYfsAHI82neDpWvQ9ViCdL0J1stfTiMnAOZRdb1ZT9P/lyJqFhr3R52gkpOB0vIL0MTapdDxStQ/Q40rJd/E75GCaAFOmSabe0yKQ1NKYKic60TiePlTpfyU1+j/Ns07OSPn8Zrwbj+ePtWQcVWyVoNtMv3gKYtg/uclVJKKTVokg6+/fznP+euu+5i8uTJLFq0iIwM+atmZWUln//85wf8ApVSSqnTVbPHz+qD1nKyodnW6ZvrDjV27/cWma4JeEnj3mc3Udfmwx80+fHru3hhQ8XxB9/8rdAazm4ruVwCf96GcO+3kbLe2kf2WygEb/6PdS0lB+Z9AcwQHX5rVleak74z3yKyp0LBWbJv03bps3WihfwybCE2Eym1pO9jMsdD1mQZHtG8vXsgJRSEpm1Q9WY46BmQAF3jZqhZIlNfk+HOB1dW995vexdD1SAEcSrjzjl0lnU74JH3VNArz6/tYMJ9+04o04SWPVD5BjRuktfdDMi/J0+FfO1qlsHRV2W4QvsBaD0AjkzIOQPSR/V9fnsKZI6T2237IX0k55TCd/130GLGvf+XPQ5+nwS7Qz55fO3/ppRSSp2Skv7zr9Pp5Ktf/Wq39XvuuWcgrkcppZT6wFiyu4ZgKJrV5HbY+NzFY/n2C1u71tYeasT0p2NANKMmEC5Fszl4eVs9ta3WLKpvPr+FaTc7GJMFOPoRfAsFJcvHDEFKsWS7hQLQukeCDwVnQ/tBCcZ11kp5XKy2Wnj+M7DvTev6uV+ClGzMjlo8fhOIlualuFy9T22NZRiQN1sCOTXvQN0KKenMGp/88+yvzhp5/UM+yWrrq+Q0wjAgf7b0iWvcADXvSlZT9kQJ7DSsl+cE0lcPE/zN4KkEQtBeAWXXd5UZJyRjJIy/ANY/B9626Pob34BP/Ce559wXTyM0V1jXSmdHb7eXQ/0aCR6Zfhna4cyU91PWBEgr639p9EAKdMh1Nm+Vr7HdDa48+XAXSEAz5JX3fcgHZlCCsKklEujMm5nY88gYDZ5D8ngG5GakMKTI4MH6W3nQ+afofq1VsPRPcMnn5bFAgrbugmNniSqllFLqfSWh4NtLL73EwoULcTqdvPTSS33ue+211w7IhSmllFKnu0VxJafnjS3g/LEFlrW6Ni/lda2McBMN8MRMOn18+cFu5/X4gnzh5QAvfARSIplvoRDsfhUOLIXDK6F+P2SVwNQPwfRbZFpkRMt2CQjZ3VImBxKA85RL4K+zWgJebQck+y02+Lb3TXjh89AW148tvQjmfgYAX3slQdMapEhLsWb89cmwQdEFEshq3iFZSGllJy4g0Rl5bgmUnMayu2HIxXJ8RyUcfFoa76cOkeCKGZRMxUgprT0NMkZA615o3QUVL8OIjyQWpAQ5t3s3TF0I6/4RXd+/FPa/DaMvTuw8x3I4rt+b3QXFU8LDArZI6WzztmimYMgvmYspRdDYKc8va6IEsU5GEC4UlGBy/Vpo2yPXnT5CglwRgTbpv5ZaIv8WQIKHKcVSRpo3K/EsU5tdsiAb1kkGYOY4zivbxW9qLuY6+3LOtu2I7ntgJWwogVk3ymtjBqFlhzyeUkoppU4ZCQXfrr/+eqqqqigqKuL666/vdT/DMHToglJKKZUAXyDEO7usPdPmTy5mRH4a+eku6tt9XetrD7cxYizRstPwpNMNNS42Hanr8fw76w1+sNzO/9zqAm8rPPPR7s32a5tlIMLbP4Cxl0pmWvE4CQgA5M6UgBFIE/+sCVIG2bILCs+VoIq3QQJJXj+8fn/3Hm8gwaKrfgqudDBNOloru+2SlpJk4MzmgKFXyRRWb530Rxt2TXLn6A8zJFlRIT9dmXuJBt9AJsiW3QjVSyTI6SmHjgopW8wYFQ28pQ2TQI8ZhNRSCTA2b4WqXCi5LLHHsjmkRHjq5bB9EXQ0Re974xvwmRUDE+w6vMK6XTwF7E6oWymZkb4GCVKllYIjGwItEuDqrAFvrdzX0C4ZhJnjwgGtpDujHJtpytct5At/+CWo1rpHBoh4ayUbMW865M+RrxVGdJ/OWvAcBY5Gz2lzSRm0Kze5a0kbKiWr3gbw1nH+6DR+va6Dr/o/y0uu+8kzYjIV1z8PucNh1Bx5Dp4Kea8k+5hKKaWUOmkSCr6FQqEebyullFKqf1YdqKc1bujApROLMAyD2SNyeSMmK27dkU4+NJaYslP5xfzxDb007Q97akuIu1s6KHzls8eYcmlKL7C9i6FoLEy+DCbf2L2cNG24ZLv5WyVbKXMs1G2ERffD5lekjC5eRjF86E8w6nzZ9jXg8bQB1ky31GSDbyDBmiGXweHnJIsoayJkjUv+PMnw1kngKBAOFrly+m6w35PUITDyZgmi1LwbznjLjpY5Zo23ZlGllUKoEyoXSY87d6GUOCYiYxS07YOZ18Hyx6PrVTtg8xMw/fbkrr0nRzdYt4edKT3eOmsluOfKk+yw7MlSchnokIxJm11ey44qCFbI8/I1SV+0tDIJPjqzjy9AGPRK2WvbPglsGnETboMd8l42g9KvLf8sKQW2xfyIbHdLyamvSbI+A+3yYXNCzrRjlxz3JucM+Xp665hVNpQ0ZwdH/IV8wf8lnnQ+iMOI+Zn7nd9B/oOQFR6g0bRNAuDvh3JdpZRSSh3TAI38UkoppVQy4qecTi/LoShLAlJzRsYF346Gs8rt0Z5vNe3w8o42yzk+OqeMFzZW4A3IL+0hE2r+/T0K9yTR36tmr3ws/SOMuQSGnw1FU6BoIqQXShnq0bfg4DvQ1Ayr/mDtJxZrzCVwwx8gIyaI13EUT3sjYB1QkJaSZAArIne6lOE1b4ejL0PGFyQoMlg6Ill7IcCQwFh/pZVC2YckmOpIj2YZ9qToAhl2Ub8Wjr4iAxycCQR97G7Jopt4MWxbBM0xWVtv/wgm3SD9yvorFISq7da10tnQEXkcmwS8bA4J3oKUB+dOh4wxUk5rc0DQJ4GtjiNgT4eOaulvZ0+V8s/UEplya4sLnvXG1wxHX4O2veHJsuEeg/ZUCZgaBgT9YHql/DVtmPQSjA84x3LlyMdAcWZK8K5xIy7fUc4ensZb+zpZEZrC/wY+zgPOJ6L7Bryw7I9wxdfkNfA1ymt8PO8/pZRSSp0wSQXfQqEQjz32GM899xwHDx7EMAxGjRrFhz/8YW677TYM/eubUkopdUymabJ4R41l7bLJxV23Z4/Is9y3uwGa/Xay7S5ZCLTxzDbwxw1r+PrCibR0+nl1q/Qku9y2mil7fmt98JQcmHcXFE2STLetz4G3uftFBn2w+zX5iOVIDZfs9dFmIjUPLv0OzLodbDHlg6YJniN0eKzBN6fNxOnqZ/DNMKD0aimV9dZD7QoovqB/5zoW05QAUSSDyjCkJPR42F1gzzv2fgBDr5bJmr56qHpdylcTkTFGsr9m3QBv/zq63lQBS/8PLvlh/zOoajfLwIVYpbOjQcqQT16rtOHWbDKQ4FrebMmEaz8gGYRBrwya8NZKtpphk6CzK0cy49LL5DVPKey5NNU0ofY9qH5bHhuklNRdGA66Obo/15RCa4n1iZReJmW57eWcV+rjrX2y/Fjwcs50l3NVaEl036PbYfdSmLRAJrA2b08uIKmUUkqpkybh4Jtpmlx77bW88sorTJ8+nWnTpmGaJjt27OCOO+7gueee44UXXhjES1VKKaVODzur2qhospZozp8UDb5NLc3C5bDhC2ewmRisr3Zz8SgkOBHy85891gDCdTOGkpvu4tJJxby6tYos2nnI+QfrAxt2uOlxGH2RbE+6Gq54EN77Eax9SqaUHktPpaVd57fB7Dvgkm9DWg8BJW89tB/BE7Bee6oTsB1H4MOZCUXnQ+XrULs03Pw+iamgieqsjgaHUgolI+tEBmxsdihdCAeegoaNkD83scwnZ4b0GBs9F7a+AbV7ovetegKmfhiKz+zfNR16x7rtyoDsEqjeKZNBI5lvGSN7P4cjVUpSsybKe6SzWvrB+dukvNPfJKWp7eVSIppSKMG0tKHS98yZBRiSRVe7QkqDQTLaSq6Q18ieIsE4X6OUjxoOed84s5IvGx5o2VPB18QFw1qASEDR4P95Ps5ledtwemL+Xa56GspmQGaRBIHb9p3YSb9KKaWU6peEg2+PPfYY7777Lm+++SYXX2ydjvXWW29x/fXX88QTT/CJT3xiwC9SKaWUOp0s3mnNeivLS2V8cTRY5HbYOaM0m7WHohlF66rsXAwQaKPNB/sarQGsm+bItNKLxmRiYHKTfQnZhsf6wJf/XzTwFtF5FMbOhjEzoaYOdrwK+5dEJ1MmatRcmchYMgNSc3rex3MEOivpiC85dSDlgMej4Gzp++atk95ow284vvPFM00pbwUJ3GCTUsUTLWuCDCVo3QMV/4Fxn0nwuImSjTb3o/Cf/42u+zyw5EG44c/Jl1SG/HB0nXVt6HQJngEEOqUvXkpxYn3RDJsE1iKln6GATN31NcpQCk+FDChoOyjTSdsLJKhmOCSg5g0HqWxOKL4YCs61Zl7aU6R8NbWE9xWbHfLPYgxrGJLeQlW7/NtuI41/5d/BzZ4fR/f1d0pJ+DX/C6FmCUamD5fnppRSSqn3rYRHSf31r3/lm9/8ZrfAG8All1zC17/+dZ5++ukBvTillFLqdPTWzrgpp5OKu7VumD3SOslwXWW4zDPQxrZa6WAV4bAZTC3NBqAgxcvs4iB3OF63PuiEK2HuZ61rHdVSugaQewbM/hR8/J9w317p1Tbnv6DsbHD31BPMgNwRMO58uPYBuO6nkDdcmuw3bem+u2lC4yYI+emw51vuSnNy/BlkNkd0CmjjxpjebAPEc1gysYI+CSgZdin5OxmGXimP7zkCDZsSO8aRDukjYMhEGBtXlrvjLdj9Lwl2JaOjUkohY5WeKb3ITBMIv2czRiV33gibA9x5kDlGet6VXgNDLpahCOmj5TG89RKM89VLFlzhuTDhy5IJaUv4x9yTz5GKUXQe88db/61978AMOofPtu57ZBMceE+y9swgNO84gReqlFJKqf5IOPNt8+bNPPTQQ73ev3DhQn75y18OyEUppZRSp6smL2w92mJZWxBTchoxZ0Qev2d/1/bGo178wRBOfxtb4qpDxxVnkuIM933yt/Kp3LUMa66z7GOee481wOdvhcb1cjt9hDVAkpoD0z8qHyBBjo5G+fA0yFrRRHBnytTFtv0SAEkdKoGX9nKwuSRLK9KXy3MEPOVg2PG4RgLR4Fiq0+i5f1eysidJf7O2fTKUYMynjv+cIP3tWnbJbWeaBKlSh3TvYXaipBRIyWndcqhaBDlTEruWzPHQfhjmfAgOrpbMNABMWPZ7GDob8mYkfh3VG2U4R6zhZ0kWWtADjsxwAK0g8XP2xZkRLU/tqJRMt6BPylsNh5RfuvOPfZ73K8PGnfNn89eNSwiGo+sdAYNH7B/jTtseskPR7xsHFz3De+ecx4fHgttzRMp6Xbk9n1cppZRSJ13CP+k2NDRQXNz9l4OI4uJiGhsbe71fKaWUUrA1rlw0K8XBmaO690ebPcL6i3SH32RHZQsE2thaYz3HtNKYbBl/Cxe2WockbAyNYbdzUnQh5If6NRJEcudDztS+L9owpIdb/hgoO1M+3JlyX86UaD+vjqMSqAp5pRyu5l3JhGvYCAeelJ5baaV4DOtzS3MOYIbS0IWSFdZ2UCaDDoT2g9JfKzY772SUnMYqvkR6lfmbZcBAIuxuySLLyIeZccMaqnbBlmelt1oigp2wOy670p0BxWPktmGT8k9Xfv+HOfTGsEkft9wZUHCWZLkVzju1A29hI/LTuWGW9b31yI4hfN97i2VtZLCc1W++wqdfTZEkw6Zt4WxDpZRSSr0fJfzTbjAYxOHo/a+qdrudQCDJcgWllFLqAyY++HbxxCKc9u7/HeeluxhdYO2TtfZgIwTau2W+TQuXnAJwdD1p9bst9/85sNDaZ651rzSyd6RB3pzjzzrLnip9yAxD+lf52yTTre0gHH0VDj8PwQ5pkj/0KjrCgyQiUl0DOK0xtRgK5sntykXgb+//uUwT2g9Ba/j1tIez3uzugcvm6i+HG4oulNs1yyDg6Xv/iIwxcv1T5kPWUOt9q/8KNSvl63csnsNwYLV1bezF4K+X2zanfE45ya/TKeiui8dit1m/TzwXPJ9dIWtQ7quOf7DqYDtLDtulL17bvhN5mUoppZRKQlLTTu+44w7c7p57sni93gG7KKWUUup01OYNsLvZ+kv1/B5KTiNmD89if100eLTuUAM3lXrYH5doHun3hmnCxucs91WZubwSOouKnTV84eKxUqbXdkDuzJ4Kdlf/n1CEYUD2RMkGi/R7CwWg44hMrbQ5IXs6lF4NdhcenzU4OKDBN5CssOZtEpA4+goM/3Dy2Vf+FmjcLOcAcGTIGkjZ40CUyR6vgrOhfrX0Pat6E4Zdc+xjbA7ImiR98c76KCz+efS+9gbY+LxkNRae12sfPqfZhlGzBqr3WO+YdK2UnJohuroSnuwg5SloZEE6180YynPrK7rWQtj4ceCj/NH10661Mlstt9rf5OG1N3BRWTtGyy6Z8OrsqUejUkoppU6mhH9yvP322ykqKiI7O7vHj6KiIp10qpRSSvVh2d56gmY0COSwGVw4obDX/eeUpVm21x5sYHutiUn0HHabwaSS8C/b7VWwf4XlmCcCCwjgYH15I/VtXsmOMYMy2TK198BfvzgzpPyvYK7038qdDnmzYMgCKLu+K9DX4QtaDktzOQf2OuxOCfRhkyBc4+bES/K8DVC3GqrfkcCbzSFluc7M8OuWC2llA3u9/WXYoPhSud2wQUp8E5E2TAYZjJgFw2Za79v8MjQelKBeKNj92JCPnNBejINrsIz9cKbCiHMk8GYGwHBK3z9HZn+e2Qfe3ZeMIy75jXeZQVOadcjHXY4X2Hu0gXeqc+W1b1gfDn4qpZRS6v0k4cy3v/zlL4N5HUoppdRp763Y0k/g7NH5ZKX0HniaXWq9r7rVx+v7rL+RjyvKiA5b2P2qJWDiMx38NXgJILGnJTuP8qGScNZb5vj+Po1jSymSD5BAQFyWmCcu+JY60ME3kDLY3GkyYbX6bTB9kDuz98EE/hbpm+WNGVSRNhSyJkOgDZq2SvZc7hkD38PseORMgbrhMsyi8nUYeeuxs/IMA3KmSU++s26Cis0SWAQI+mHF07DgHhnokDURUsIB4lAQo3EDNtOHcWiD9ZyjzwUzXPoaefyUgvfXa3UKGVWQzifmjeSx5QcBcDls/PEqyGmaBKuiffkKjBbudLzMwyv/iwtvdGH4W2X6ac6Uk3TlSimllOrJSRrTpZRSSn2wBIIhluy2TiBdMLnvzLMx2UFy3CZN3mgA40+b4octxPR722UdtLA7bSaN3mgJ2ptbD/KhIYOU9dabHgJB8cG3NPcgBN8MA4ZcKlNd2w5A4xYJomWMkcb8jnQpwQ22ywRQT7lEKA2bZIZljpV9/G3QtFnOmT7q/VfSZ9igZL4MtGjdK0HC3DOOfZwzC9JHynOeegVseTl6X/k62PUOTLwI6lbK+wUD/E0Q8GMPdGJUbbeeb/J1Uv4KaMnpwPj21ZMZXZjO4QYPHz1zOGMz2+DADti3Deqigfw77S/z1JEFvFs/hwtzd8n0YXe+TORVSiml1PvC+6BhiVJKKXX6W1/eRKPHb1m7dFJRn8cYoQ5ml/R93mnDwsG3oB8OLLPc1znmCsv2u/s8+IJA1oSErnmwdPitA5rS3APQd64nrlyZhJk9SSaxdlRLJlzVW1DxsmSK1SyToQqmKZluxRdLuawjXYJyNe/KMANH6kl/3XqVPlJKY80g1C4FX3Nix2VNkNLQGddCqnUCLSufBp9Ngnu+JinBNU2wp5LVVI0RW9rocMOE68L7BKNZdBp8Oy52m8En5o3k/qsmM7YoQ4JpBWfB5LmxBb+kG17ucjzPw0trMdNHyWLjRhmqopRSSqn3BQ2+KaWUUifAou1Vlu1JJVkMy03rZe+wQDvXjuu7V1nXsIVDy8Fn/WV75LwPWbbb/LC6Oi1aEnqSdCs77WWY04DIGCMf2ZNl4qozSwJKkeCRPUXKKgvPgbzZMgE20A4N6ySAYQYliFR4fu8lqyebYcj1ufMkwFi3MrG+XzanvC7udDj/09b7Ah3w+oNQcJ6UMObNlExCXwbjKl+x7jtyLthC8loFvWBLkWClwzqtVw2AgnkwZDrG0OGW5Vvtb1J3eBdLawrlfRDyQ/3anvv2KaWUUuqE0+CbUkopNchM02TR9mrL2oJjZL0BEPRwzXiYOSyjx7vtNoPJkWELO1+23jl0JgWlo5g+LNuy/ObhlISve7B0LzsdxOCbYUjgyJUtQTTTL0G2IZfA0CuhZIFMDXXnS4lq40bpEec5KsdmTZT7e5n8+b6RUgi5s8GwS8+vll2JHRcZvjB8OpxxnfW+6i3w9EehMyT7eZqx/+uT2IgL6My6LVpyGunxpllvg8PmhKILYcoFmLboj/EuI8jXHH/n4Tf3YubOkoxGfws0bz2JF6uUUkqpCA2+KaWUUoNsX207B+s9lrX5x+j3hhmCYCc2A75/7eQe+9Z3DVswTdgVl4004UoALplofZw393ZiJjr5c5DETztNddkH9wFtTsg/M5zV1gH1ayQ45SkHzxFo3SflpdVLpNTUNCGlWLLJssadOkMDcqdDxkjw1UsQsaPqWEdEhy8YBsy6DgrGWe8vXwG/OxeevAH+cBFGu3VoCNOvgfFXab+3Eyl3OhROwRgx0bJ8jX0leUfeZNmBNgkwGwa0l8t7WimllFInlQbflFJKqUG2eIc16604020dlNCTYEd4AICdqcML+dic7sG6rqy36m3QHPcLdjj4Ft9Xrryxk321bck9gQHW4Y/LfBvs4BtIuWnRRZAxWrY9FTKcoGEDNG+XPmmGIX21is6X3lquY3yN3m9c2ZBzBqQMkT52DesT6/vlzIL0EeBwwcVfAEdcdmSgE/a9BW1xwbzSaTD3drCnga8BQoGu2JsG3waR3Q15c2Da5ZgOa7/EB51/5I+vr8Z050NmuEdh02bJglNKKaXUSaPBN6WUUmqQLY4rOb1kYiHGsbKpAuFMOYf0hfvqhbnkplgz1maOCDfJ3/Wq9djs4VA8BYApQ7MYkmH97/7NHXHZSydYfObbCQm+Adjs0r+s6DzJEEsbKuWaKYWS/TXkMsmQc+WcmOsZDNmT5LkZhgyZqF8jQbFjyZoo/e+yC+D6H0PO8D53NzOL4OLPy2vob5HHCHqivd7sJ7+8+bSWPhwKpmPMuNSyXGg0c2P1I7y3t14m9qYUSRZt/VrpA6eUUkqpk0KDb0oppdQgqm/zsq680bJ26cTCYx8YDAff7BJ8y3F08uDFJs7w/9wl2SncMLNUNrqVnC7sKpU0MLlkpDVo9/q2BMoRB5HHZw0GpTpP8CADV64E2/JmSz+3grMlYGUfpKmrJ5I9BbKnQMZY6KyWctCGtccewGBzQt6scBlqLtzxT5j7OaB7kNjryCB4yd2QliuZhL5Ivzeb7K9Zb4MvpQic6TD1BkIl1vLT6+zLefu539EZCMnX1JEaHiKyPrFBHEoppZQacBp8U0oppQbRmztriG2x5rKZnD0q79gHRsoFw5lvBNq4Ygy8+t9j+d3HZ7H43gvJcDugowmObrAeO2Fh9La3gUtHWDPN1pc3saPy5JWhdRu4cKIy3z4o0kdIz7qM0dLTrrMWGjfBsXr9ufMhc7zcbt8HC74Nd74F534JLvoGXP87Ah/7JxsmfALyymRSqiNVzg/RwI4G3wafYZMhGI40bAu+htdunZx8l+e3PPyvN8NB1TkyiKOzRkpQlVJKKXXCafBNKaWUGkTxJacTc0zczgSCTV3Bt/TwtvRpG1tSwBVTS0h3h7PFDq8i2mgL6Qc14pzodmcV5w+HgnTrf/mPLz+YxLMYOMGQiTdgzb4Z9IELHzSGAblngDNTJpn6GiUI17z92MdmjpMgnBmE2vcgtxgW/A9c9HWYfjNkuMBmkwBb+ggIesFbKyWNNqecQ4NvJ0ZamXx2u7Ff/r+Wu3KNNi7a/h3+vfGwlFF3DWA4DM07T/y1KqWUUh9wGnxTSimlBkmnP8jSPXWWtWm5CU4a7Qq+ZYQnn3ZEt2MdWm7dLp0NDnfMRVThssOts60DG17YWEGTx5fYtQyg+GELAKmJBCNVcpxZkDEGnDkSdAl6oW0/NG3rOwPOMKRU0ZkhxzSsh9rlULcaKl8HXwMmNszsM2T/jorwYBAD7KnyuKdD+e6pwJkpgTXTxDHpIlpHLbTcfbZtBwef+x6/e2cfhzsyZRgHQOsemYabyDAOpZRSSg0IDb4ppZRSg2T5vjpLsMlmwOREgm+mac18C7TLms0pmW2xyldYt2Oz3vytEOgAw87HzpmAwxbt39XpD/H3NXETUk+A+H5voGWngyZrgvS3c+YAQQnitu2HpmOUoNpToOhCGcJg2KRvXGe1ZLcZDlpso6Pl0J4j8tkWHrCgWW8nVnp4MIannMybfkd7aonl7s8b/2TRay9y/kNvc/PTFezxjpI72g9D9dsyiKFxEzSsk+EcDevCE4B3gK/pxD4XpZRS6jSmwTellFJqkCzabp0qOmt4DhnOBA4MdkqgxLBJNlG45LSrBDXC3wEV661rI+ZFb3vDjfBduRTnpHPlNOsv5k+sOEQwlGAm3gCJn3QKkOY6wQMXPigMm5Qb2pwyuMORHi09PNYQBsMGWeOg+GIpRc2eDEXnYw65nE5buGehvwV8zbKvEf6RUoNvJ1bqULA5wN8GeEm/5XGCMT/e2w2TX7h+TRZtrNzfwFV/Psxvd40i4CqUAGxHJbSXg+codFTJZ88RaN0LNUslQNeyR7IglVJKKdVvGnxTSimlBkEoZLJ4h7Xf26UTixI7uCvYlibBEn9kO67k9MhayUaKMGww7Kzotq9BPrvzAbj9nJGWwyuaOrpd42CLH7ZgGJDi1B9HBo0jFXJnyO1gB6SWyvukowrqVkKoeyai9fg0yJ4ImWOkxNGImX4ayXpzZkHIJ/eF32vqBLE5pfceQNteGD6X4AX/z7LLMKOOHzr/CJj4giF+tOgQH3vepDP3XMgaLxmOOVOlT2DOVMieBGmlMqTB3wYtO6FqsWTEddZC8MSXqyullFKnOv1pVymllBoEmyuaqW21ZotcOrEwsYMjJad267CFbsG3+JLT4imQkhXd7sp8k0ylWcNzmFaabTnkmVXliV3TAIkPvqU67RixAR018FKHQOZYud1xVDLZbA55f9Qt718wxTTBUyG3I5M2nTlyXnViZYwOlwc3gLce10X3YY44z7LLlfbV3Gx/u2t71YEGfrm0RkqTs8ZBxigJ4mWMkvdK3iwouUwCt65cyZL0HJGAbeXrULlIylTbDkgGpFJKKaX6pME3pZRSahDETzkdXZjOqIL0XvaOEz/pNPLLrTPTul/8sIUR58acwyPlq4YhvzwDhmF0y357b2/dCR28EF92qv3eTpCsiZBaEu37lj0NbC4pG617T94ryfDVyTE2JxAuX9WS05PDnhKdfNq6F2x2jA89Cqm5lt2+63iCCUY02P7M6nI6exiA0sXmgPQyKDoPis6X25HvScFOyZ5s2grV78hQDs2IU0oppXqlwTellFJqEMSXcy6YXNzLnj2IDb6ZZjTzzRmT1RYMwOHV1uNig2+RrDdnDtiiAa6FU4fgdkT/+w+ETN7YduJKT+MHLqRq8O3EiEwxdedJqXLrTtl2pEppYd2KhPt6GaYfo3mrbKQUQWe4t2HqkEG6eHVMmWPla9xZIwHVrKFw3W8su6QaPv7k+gmFNAHQ5PHz4saKxM7vypEsuCGXwNCFUHiulKemFEaHctS+q1lwSimlVC80+KaUUkoNsMMNHnZWtVrWFkxKIvgWjAm+BT3h4Qt2Gb4QUbUJ/O3W42Inncb1e4tIdzu4aIK1/PXlLZWJX9tx6ojLtElzapniCWPYIO9McGbIFNymLZA7WzKnEg3AmSFyQ3slQOxIlWPNELiyJUCjTg5HmgxfAGjdI58nXgln/bdlt2FGHX90/YRUJNPxsaU7MWtXQNVbUPkG1K2G1n19B9FsDgniZo6FgrNlMq4jXd5TNcuiwVillFJKddHgm1JKKTXAFsWVnOalu5g5PLeXveOYppSMgvR4iy05je2Ndiiu31veSEiPKfuL6/cWK37q6YksPY0vO9XMtxPM7oL8syVwFmiHps2Qf2Y4ANcKte9J5lRPTBOaNuE0W6XcNO8sKT0ESB95wp6C6kXmOPncUQm+Jrm94Psw7EzLbtNt+3nE+SsKaGZHjZ81B+rkvRD0Qmc1NG+XUtL6tdEs3L44M6QsNaUQzCA0rE++jFkppZQ6zWnwTSmllBpg8SWnl0wswm5LcKhAsCOc6WaLBkTg2P3eYn/BDnqjvzS7uwffLp1UjCu+9HT7iSk9jR+4oD3fTgJHKhTMA7tbgrtNWyD/rGhArnaZZD+ZpuwfabZf8w5GRwVgYObOhlD4fWZzRLOu1MnjzIS0YXK7eXt4LQVu/ivkjLDseql9A8vcX+R/HH/hyIo3YcdK2L4cdq+B/euhYgu0HoLqJfL+8NZH3w89sTnlPeTKkbLmhg1976+UUkp9wGith1JKKTWAmj1+Vh1osKzNT6bkNLbfm2FAIBx8c8QE30wTjqyxHjeyp35vWeGG+FYZbgcXjS+0BNxe2VLJTXPKEr/OfuqI6/mmwbeTxJEuAbja9yRLqnkbFJwHzVslc6p5O7TslHJnTAiFv26Gg2bbaBmu0LJJ1tKG6ZTT94usiTLR1lsPHdWQWgwZhfCxf8CfFkBnNKsxxfDzCcciaATe6+FcrjQYey5Mmg+5pfK9xJkp7wUzKJm5acMgpVj6Sho26SNY/Q5466D9gExiVUoppZRmvimllFIDacnuGoKhaMaHy2HjgvFJTIHsNuk0kvkWM2yhpQLa4/oqjTg/eruXfm+xrjqje+lps8ef+HX2U0O7tRwtxanBt5PGmSk9u2wOCdY0bZLgSe50CbqZIcliCgUkSy57EmbxpXTa8qWssDNScjqi78dRJ44jNRrwatkRzT4rnAAffRqcCU5cBvB5YPsi+Nf/g5e+C7vehvYqyZYMtEuJasM6qHpDpqyCfN/KmSK3m3dEv38ppZRSH3D6Z0qllFJqAC3eYQ2KnTe2gDRXEv/dWiadhmImncZkvh3dYD3GlQ55Y6LbffR7i4iUnvoCIQD8QZM3tlfxkUHOfntvb51le0R+2qA+njoGVw7kz4W6ldIov2Ed5M6C1FII+STDiZBkORk28IcDtK27JbDjzrMGhtXJlzkW2g9J4MtzGNKHy/qo8+Fzy+DdnxLc+FfsBPs+T6yaffKx7E+QWSzTVHPLoHgUFI2B0A55v2RPlmBsR7UE55o2y2RUpZRS6gNOg29KKaXUAPEFQizZaQ2+JVVyCtFgmyNdbpumlHvZU6L7VKy3HlM8MTqMIeSPDmnoI/Mtw+3gwvGFluEQb2yvHtTg25FGDzurPZa1iycUDdrjqQS582ToQv1qGaAQXCHbjtQed08PVWJ4QmB3QMbYE3yx6phsTsgaD03boGWXBFJt4QzTvNFw/a8pn3o3rz/2faYZBwhgp50UppXlU5bqhbZaqN7S87mDfmg6Ih/lq6PrQ8bDuZ+CsiBkT4XcM2SCqrdByphTS3o+n1JKKfUBocE3pZRSaoCsPtBAq9fa0+zSSUkGlyKZb/b03octxGe+lZwRvR2ZcuhIl1LBPlwxZYgl+LZyXz3+YAinfXC6UrwVF5jMTXMmPgVWDa6UQilBrV8DvkYZupA3WzLjYnkOkxE6DBRLeWFqksFldWKkj4S2AzI5uW0/ZI2z3D1q7ESWjrybH+6t71qb6s3i33eeh2EY0LAf1j0OG5+G9tpjP17VbilNnX8PTLDJeyNzDLTslv6BKcWSOamUUkp9QOn/gkoppdQAiZ9yOn1YNsVZKb3s3QPThGA4M8wRE3yLH7YQH3wrnR29Hen35jp2UOv8cdZedK3eAJsONyV+vUmKL8m9eEISU2DV4HPnQ+F54EiToE3NUmme37oXmndC3UqMps0AmBljtJn++5lhk+ELAG17ZQJynNvnjbRsb61oYX15o2zkjYYF34Mvb4ePPAajLjz2Y/o74bWHYO2j4DkqWZH2lHAA8MDxPR+llFLqFKfBN6WUUmoAmKZpySIDWDA5yaygoEeCa4Yt/EtrD5lvjQegs8l6XNk50dveyLCF3vu9RRRlpTBxiDWrbumeul72Pj7t3gAr99Vb1i5JNitQDT5nBhSeD2lDwz3eWqRxfuse6KwFTDqMQsiadLKvVB1L6lBwZcvAjNY93e6+dFIxw3KtpcWPLT9k3cnhgik3wO0vwVf3wCdfhQ/9CS75Foy5FJxxPRvNECz7C6z8OQQ7ogHA1t09BgCVUkqpDwoNvimllFIDYGdVKxVNHZa1+ckG32KHLRhGz5NO47PeUrMhN5yBZJrgb5LbCWS+Qffst6V7Eigx64ele+rwBUNd2w6bwQXjCwflsdRxsruk5HTIAsiZBilFkF4GuWdgFl5Ai33Uyb5ClQjDgKzJcrv9YPT7S5jdZvCJedZJta9uqaSy2fp9rEtGEYw4B6Z9GC64D257Du7bB5Ou7b7ve3+BA/+GlJJoALBl1wA8KaWUUurUpME3pZRSagDEZ70Ny01lQnFmL3v3IjIowZEBoWBMMC7mPPHDFoomRIctBFrll1ybw3pMH84bZw2AbTrSTEunP7nrTsBbO62vz1kjs8lKcQ7446gBZHdBxkgomAu5M2SKpU42PbWkFEjw1DShaWu3u2+aU0aKM/rrQCBk8uArOxM/vysNPvI4nPNF63rQD288KNNOs6fImqc8+gcFpZRS6gNGg29KKaXUAIjv9zZ/UrE0Lk+GN1yW6c6Llpza3RIEiTi60XrMkGkxx8f0e0vwsc8amYfLEf1xIBgyWRFXHnq8QiGTt3ZaM+oumTRkQB9DKdWL7ClSQtxZA54Ky105aS4+Mts64filTUdZuT+J7wE2G1z2fZh1u3W97hAs+6mUm6aWSACweVt/n4VSSil1StPgm1JKKXWcqpo72Xyk2bKWdL8304wZlpDf87CFUBAqN1qP63HYwrH7vUWkuuycOdJaojrQpaebK5qpa7P2e5qvwTelTgxnBmSOl9tNW7v1Xrtn/jiyUhyWte++uA1/TJl4Qi7/AeSOtK5tegX2/Eumrxo26RvYWdPT0UoppdRpTYNvSiml1HF6M66kMjPFwVmjEg+AAVJyGgqAzSmlfZES1NhhC/V7wddmPa5sXvS2LzypMMF+bxHnjbWWni4b4KELGyITFMNG59oYWZA+oI+hlOpD5hj5vhLyQbO1/DQ/w81XL59gWdtV3coTK+KGLxyLOwOu/x0Qk3UbCsGyP0DLTgnAgWS/mUkG9pRSSqlTnAbflFJKqeO0OK7f28UTinDak/wv1hcu83LlhYcthDPpnNnRfeL7vaXnQU64+X2wEwKe8DmSC77FD104WO/hcIMnqXP0paql07I9udjVy55KqUFh2KRvn2GA5yi07pNs27CPzR3B5BJrP78HX9nBw4t3J5cBN2IenBvX/622HLY8K7dtLvC3QXt5P5+IUkopdWrS4JtSSil1HNq9Ad6L65GW9JRTiOn3lh+eWhoOvrligm/xk05jhy1Est6cWTJwIQmTS7LIT7cGxN4dwNLT2hZrmVtRpnvAzq2USpArGzLGyu3m7VC3UgL2Zgi76eX7V1un2AZCJg8v3sN1j7zH3pq2Hk7Yi4u+AdnDrWvrnoeGzZAS/t7YsgtCAz/YRSmllHq/0uCbUkopdRyW7qnFF4hmhjhsBheOL+zjiB6YpjX4FvRICaphs/Z8iw++lcQMW+hnySmAzWZw7lhr9tt/NlUmfZ7eVLdaM9+Ks1IH7NxKqSRkTYCcqWDYwVsH1W9BxctQuYjZ7g18fKrZ7ZDtlS3c/IeV1MRlsPbKmQoLvmdd87TA+r+BtxbsKVL+2rpnAJ6QUkopdWrQ4JtSSil1HBZttzYPnzs6j+xUZ3InCbRKFohhl8w1X6TkNCua2Rb0Q9VmU71mPQAAj9pJREFU63FDZ0VvRyadupPsNRd22RRrtt6K/fUDVnpaE5/5lpU2IOdVSiXJMCBjFBRfKN8rIqWnhgE2Fw9c7OKus+zY44Yl17V5+dJf1xEMdQ/O9WjKDTD8HOvajvegdkt0u+0ABNr7/1yUUkqpU4gG35RSSql+CoZM3oobtjB/0vGUnOZJtltP/d5qd0IgLvNk2NnyORSMKVNNPvMN5LrjJx4+v6GiX+eKVx2XMVOck9nLnkqpE8KRDoXnwpD5UHI5DL0Khl6Oo/QyvnrjFTz/2bMYX2gtD19xoIlf/vtNaFgPzTukb5u/xdI7rothwBUPYhm+EPTD2n/IHxfMgAxdaN4+uM9TKaWUep/Q4JtSSinVT+vLG2n0WPsWHVfwzZUvn7sCaTnRfeKHLWQWQVa4r5K/SX6RtafIL9X9kOK0c+2MoZa1f60/gtnTL9ZJ6PQHaekMWNaKcrJ62VspdUI5UsHuimbYhp0xopC/f/YCSrJTLOu/XNHJ8t0V0LoXGjdB9Ttw9FUJosV/rxg6A2Z+zLpWvh0Ovydl9QEPdFRB58BOV1ZKKaXejzT4ppRSSvVT/JTTiUMyKcvrR0llbL83iCk77WvYwjiw2cPHH1/JacSHZ5dZtg/Ve1h7qPG4zhlfcgpQlK0935R6v8tNd/HIrTOx26KBOROD+95y4U8dKd+vbA4wgzI9tWlT9wDcJd8BV4Z1bcMb8j0u0CoZcE2b5Y8HSiml1GlMg29KKaVUPy2KC74t6M+UU3+bNB83bJLpFugIbxvgjB22EJf5Zhm2EMmcO77g2/Rh2YwptGbO/XPtkeM6Z03csIUUB2S6k5vGqpQ6OWaPyOO+yydY1ipaArxekQ+F50DJFZA7Q75ftR+Gxg3WAFxmMVxwn/Wk9Udg7ztgzwBPhfR90+ELSimlTnMafFNKKaX6YV9tG/vrrM3C+1VyGhs4i+335siUbQB/J1TH9UaKDFswzZhJp8cXfDMMo1v228tbKunwBft9zuq4zLfiDDtGXImbUur967/PH82MshzL2uPLD8oNw4D0MsibLbc9FdC81XqCsz8HuSOta1uWQusBcGRAR7iM1d82WE9BKaWUOuk0+KaUUkr1Q3zJaVGmm2ml2b3s3YduJadN8jm231v1NpmG2sWA0rPkpr9F+ifZHDId9TjdMLOUmCoz2rwB/r3paL/PF5/5VpTp6ve5lFInns1m8F/njbKsrTnYyNaK5uhCagnkzZHb7Yfk+1KEww2X/Z/1pJ5G2LtBSlb9beCtC5ef9txj8uXNlSz8xVJu+M17/PrtvRyo0ympSimlTi0afFNKKaX6YfGOuCmnk4ux2fqR0RUffOtp0ml8yWl2CWQOk9u+cL83V263pun9MSQ7hfPGFVrWfr1kL4Fg/3oy1bRaM9+KsrTfm1KnmoVTh1CUaZ1+2pX9FpE6BNKGSgCtaZv1volXwcjzrGvb3obWWkgpgbaDMj21h/LTt3ZW84Vn1rOjsoUN5U38+PVdXPyTJdzwm/fYdLjpuJ+bUkopdSJo8E0ppZRKUn2bl3VxgwgW9KfkNNAOwU4pL3XmyFrXpNPY4NtG63FF48DmlNtdwbf85B+/F588Z6Rl+1C9hxc29i/7rbolLvMtO6OXPZVS71dOu42PzR1hWXtx01Ea2n3WHbMmyfczbx10xPyBwjBg4UPRUnqAoA+2LoFgG6SWQutuaNwIHZVdu1Q2d/CVZzf1eE0bypu48Tfv8ePn38RbvQZadsv0VB3eoJRS6n1Ig29KKaVUkt7aWUMopjoq1Wln3ph+BL8iWW+uHJlcGuyEoFd+UXXElJD2NWxhgCadxrpoQiHTh1lLaB95a0+/st9q4zLfirP7MQ1WKXXS3TK3DKc9ml3rC4T425py606ONMgYLbdbtlsDYcVTYNZt1v33rYDmFrA75Q8Izduh+l3wtxAIhvjiXzfQ6PHTm6AJv17VyXWPVXC4fCvUr4Gad8DbQCjUcwmrUkopdTJo8E0ppZRKUnzJ6QXjC0hx2pM/UVfwLdLvLTJsIUOCcQC+dqjdaT2udLZ87ilzbgAYhsGX5o+zrB2s9/BiP7LfumW+xZWuKaVODUWZKVx9xlDL2lMrDnUPymeOBZtLerm1xwXnLvkOuOOyX1c9A/Z0SCsDRzo0b4MjL/Hwy6tYc9CaYTwxt5OClLhsO2Bno5NbXrBxpLqCTeX1XP+b5Yy7/xWu+dVSfvfOPg43ePr9vJVSSqmBoME3pZRSKgmd/iDv7q6zrPVryilEJ512DVuIyYSLqNxszR4xbFA6V25Hst6c2dFg3QC5eEIRZ8Rnv72dfO+3+J5vxVkpx31tSqmT4/a4kvSjzZ3d/hiBzQlZE+R2217rEIX0Arjw/1n3r90Pu5bKcXlngj2F+pp9/H6l9fvssPRO/n7JVlbcdJCvnOPCGddj80ibk+v/M4wbnkthY7VB0IQtFS388NWdnP/Q23zmybXd/higlFJKnSgafFNKKaWSsGJfPR3+YNe2zYBLJhYlf6JAh3wYhgxLAOgM/xLrjjnf0Q3W43KHQdoQue0b+JLTCMMw+NKl1uy3A3XtvLatKuFzdPqDNMWVjGnmm1KnrhllOUwvy7Gs/eW9g913TCuT7LdAB3TEZcye9VnIHW5dW/N3aK0GQjD0apY2T8Yfiv6a4jBMHpnvIXvUFTjHf5a7r13Ai3edx9giaxZdXYdByOx58Mzr26q57Ofv8vyGI5i9TFVVSimlBosG35RSSqkkLIrL8pg9Ipf8jH4ElCJZbs4csDmkhNTfJsG4lJhpoxXrrMcVjY9mucWXrQ6wSyYWMa3Umv3WbcJhH+L7vQEUaeabUqe0O86xDl5YdaCBHZUt1p1sdsgYJbfb9lnvc7jgqp9b1/wdsPwJ+R7ob2Rp01jL3ReNz2PG3FuhYC44ZGLy5JIM/v7JSUwoTPz7b3OHny//fRP//eS6Hr8/KaWUUoNFg29KKaVUgkIhk8XbrcG3fpeceuNKTjtr5LMrLzrJFODIautxQ6fL52CnBOxgUDLfQLLf7rxgtGVtzcFGth1tTuj4mlZriZfbYSMrxTFg16eUOvGunFZCQYbLsvbEioPdd0wfCYZdell2WktIGTsfpl5nXStfBwfWYPpaWLqr0nLX+ROGSkAvFIT2w1C7HI6+Sn77Kp6+poPxedZMNqfd4HNz07hlcohsV/dS+UXbq7nyl0vZXN2M2boPWvdC+yG5zqCWpiqllBp4+hOwUkoplaAtFc3depjNnzxQwbdwUC8l5nyt1dAU17C87Gzr8a5sa7BugC2cOoSiTLfleT++/CAPfXj6MY+taene780wei4JU0qdGtwOO7eeNZxfvrW3a+35DRX8vysmkpMWE5SzuyC9DNoOSvZbSoH1RFf+Ava/C56YoQornuCgczQ17dZS/vNK2qBxI3RUQcgvfeQaymH/agrqD/HvfBdvmXmsaimivmA6n7+khEkjCsAxiq9V7+S7S3y8tMfaF7OpM8Sf9ufT9OwKHpp3GLszVVoAuPLAlQWpQ+UjtgenUkop1U+a+aaUUkolKL6x+OiCdMYUZvSydx8iWWuRfm+hQDSYlhLzS2d81pszBUrCk04HueS06yHtNj4211pm9sLGozS0d584GC++uXlxlvZ7U+p08LGzR+CIGXjQ6Q/x9zWHu++YEc6c7awBf6v1vrRcuPx/rWsdTeS9+1NyiZaxlmaajHYckIy3oBd2L4Pnvw3P3w+bXoQjG3EfXs3Cjtd4wPkEv2q5j0m7/gJ1W6FlF7lF4/nlR6fyu2vTyE/t3uvtXweL+MqqcQRDhgT3mjZCwwaoWwFVb0H1EnlsM7lhM0oppVQsDb4ppZRSCVoUV3K6oL9Zb1393rIka81bJ7/YOdLAmRnd73Bc8K1oLLhzredwD27wDeCWuWU47dFftH2BEH9bU97HESI+S7AoU/u9KXU6KM5KYeG0EsvaX947iDcQtO7oSIfU8H7xvd8Apn8cxl5gWcruOMwfXD/DjQT4zx+ZgpExHHx2eO3n8O7voOFg7xdnhmD7IvjnfbD9dWjaCh1VXDFrGm98+QKumtL9e+YL+7P46sa5BAsvgNxZkoHsa4WmzVC/FqoWQ+Ub0LZfg3BKKaX6RYNvSimlVAION3jYWWXN3DjuklNXfMlp3NTUI2us2yVTwLBJ5py/TdZOQPCtKDOFq+J+0X5qxSECwb5/Ca2OKzst0sw3pU4bd5wz0rJd1dLJsz1lv2WOkc+eip77qd3wZ8izZteeadvNv13381H723wo/yi8+Ut46jao2ND9+N50tsKyP8HrP4GGPVC3gvyODfz6hmJ+9eExuOzWEvjnt7bwqVdSqE6/EArPgfxZkDNd/kjiOQy1K6DiFahcBB2VvTyoUkop1TMNvimllFIJeDOu5DQ3zcms4bn9Opfha5Ab8cMWYvu9BXxwNO4XzdI58vkE9XuLdce5oyzbR5s7eWLFoT6PqWnxWLY1802p08fsEbmcPdo67OU3S/Z1z35z5cpQGDMEbQe6nyi9ED7yqJShxhhvq+BHzkc5c+XdsPWfUp4fLyMfpl0JM6+HMfPA3sP3wyOb4Ln7Yceb4KmBpq1cM2QPv73Ch9Ow/gFhye5aFvxiOc9tOIqZWgZF50LxRVBwDqSPAG+DlKNW/Adq34sOvVFKKaWOQQcuKKWUUglYFBd8u2RiMXZb8sMDbKYfAm1gd0hjb3+LZIMYdmv/tuotEIjLEhk+Tz6foH5vsWaU5TBzeA4bypu61n6+aDdXTy/pNagWH3zTnm9KnV6+dOl4Vu5f2bVd2dzJs2uPcNvZ1kw2MsZI4Kr9EGSOA1vcryAlc+H6H+P92124QwlMG80qhnmfgLGXQtZ4cGRIcK9uK7zxbdi/wrq/txXe+wus/QeMuwjcGVwU8vGPgqMcaTIoNGToQ7WZS1UwjzWvD+HA3sl8eX4RNnemBN6yxkPLHmjdLT3gOqslmJh/JmSMlWmsSimlVC80+KaUUkodQ3OHn1X7GyxrCyYX9bJ335xmK5AjpUx2l/wyCuAusP7ydjiu5DR7KGSHm5efwH5vsb555SQ+8rvoL7Wt3gA/fHUnP7tpRo/717RahzJo5ptSp5d5Y/KZOyqPVQei3x9/+/ZebpozDLcj5vtZSjE4M6Rc3lMeHcQQa+yNfCOlks+3/ZaxtqM9P6DNDmdcDXNuhsK53b8HDjkTbnsFtjwJr30HPE3W+71tsPU/ANiBGcCM3mJm5dDwRCG546ZjjDsPCsdAarGUpLYfgpbd0LILOo7KVNTcGZA14YRlIyullDq1aNmpUkopdQzv7K4lEIpOyXM5bJw/rrBf53IR7hvnjuv3lhrXPy5+0mnxeGlefoL7vcU6c2QeN84staw9t76CtQcbuu3rDQRp7LCWdGnmm1Knny/NH2fZPtrcyTOr4gayGIZkv0GvQwuaO0M83ziGBb6HuMP3Nd4NToscDCWT4Zzb4eZfwnl3wdAFvX//M2xwxu3wufdg3IXH9dzyArUYOxbDSw/AP78Gq/8CTbvBkQUFZ0sWX9AnQbhDf4cdP4P9j8twhqYdMp1VKaWUQjPflFJKqWNaHDfl9Nwx+aS7+/dfqMuMCb4FfeBrDG/HZdLFZ76VzpTPJ6HfW6yvXzmRRdurafVG+y99+8Vt/Puuc3HYo3/Tq22o63asZr4pdfqZNzqfs0blsTom++2Hr+5k3ph8Jg7Jiu6YNgxadkKgQ7LF0oZZzrPxSBOmCWBjSWgGy43pbPl4C26nHVxpYE+RjLmM0RLMO5bMYXDri7D1KVjzZyjfAJjHPKxXzZWw+q+Ym/6DMf0qmLwAUkslqNhRCa17pKVA6175ALC5IK0McqbKFFWb5j0opdQHlQbflFJKqT74gyHe3lVjWev3lNOQH4cZ7oPmygNv+LzOLHCkRvdrqYTmuMyRk9jvLVZRZgr3LBjP9/+zvWttR2ULT68q5/aY6Yc19daApdthIytVf+xQ6nRjGAb3LhjPzX+I9n7zBkJ84en1vHTXedE/VBg2SB8lAbjWPRK4igmirT/UaDnvtNJs3EXDZSOtVL5nJhJ0s14cTLsNptwMR1fChiegsRzMEKFQiPrmVvKHT8KWXSp/zGirpbLiMI7KTRQazT2f0tsKq/+Gb9NruOZ+BMadDymFEmAzQ+CtBs9R6KgAfyu07ZOP+tUw7Dp5Lr2oaOrg9a1VjCxI4+IJRRjJPl+llFLvW/pTsFJKKdWH1QcaaO20Ttm7dGI/g2+RXm2ODLC7e55yCt1LTp2pMDQy6TScUXaCS05j3T5vBM+uOcyu6tautZ+8sYurziihIENKS9/eaQ1YFmel6C+SSp2mzh6dz+3zRvB4zATkfbXtfPvFrdaekBkjJRDlb4POKkgt6bprfbk1+DZzeD7kTh6YC7Q5Ydj5UHoehPwABAN+lr/6BldedTU2ZzSLuAR4dfNRfvX3F7mUtXzIvpSRtupup3R5m+DdR2H7IpjzUSidIoMknFmQOx2KLoCAR8psG9ZIdtyeP0DhPCi5TIKRYaGQyWPLD/LQ6zvp9EtJ7q1zh/O/103F1o/BPkoppd5/NPdZKaWU6sO6HrIxhmT3s3wynLVmuvLANGOCb/Elp3HBt6Kx4MqVX+QC7ZLN4S7o3zUMAIfdxv9cN8Wy1toZ4Eev7gSgqbWdxzZYJxbOHZV3wq5PKXXiffOqSUwtzbKsPbe+gt+9sy+6YHNCxii53bK7azkUMtl4uMly7KwRuQN/kYYhg27sLikJNXr+VWjhGUN54NMfZe2IO7nY/zM+7P0Oi4Kzej5n3UF47Ufw7FdlmurB5VCzERo2yGRUwwaF50FKCRCC2vfgwBNd/eAO1rVz8x9W8j//2d4VeAN4ZlU5335xK6HQcZTKKqWUet/QzDellFKqD1Ut1iDStGHZ/T6X4Qv3RHLnS6+3kF9+GXXF/ZJ5cJl1e+h0+QUukvXmypUMi5No7uh8rpsxlBc3RqcS/mPdEW4+azjvbN1Hqy+arWEY8JkLe5huqJQ6bbgddh65ZRZX/2oZbTE9IX/46k7shsGdF4S/B2SMlmwwfwt0VENqMftq27plGM8aPgjBtyScNSqPv/732dS0dvL61qn8cfM5/PrQar5s/ycX2jd3P6C1BjY8Lx8A7kwoHC1/PBkyQT4cqTKcoXUfod2/54maS/nh4nJL0C3W06vKMQz4/nVTNXNYKaVOcRp8U0oppfpQ22qdVleY0c+JnSG//LIJ0q+t84jcTimy9jHqbIaquF/sRpwjn7218tndv0mrA+2bV05i8fZq2n3BrrU7n1iLz++37Hf1GUMZW5R5oi9PKXWCjSxI54cfmsZdz2ywrP/fKzswDPj0+aPlDw7pI8ODCXZDanG3ktOS7JT+ZxgPsKLMFG6bN5Lb5o2kpnUmj713OX9+9zm+7XiSsbajvR/obYUjm+QDIHcYzP0YgbyxrNpbyS93FLCq9uAxH/+pleWMzE+X104ppdQp66SWnb777rtcc801DB06FMMweOGFFyz3m6bJAw88wNChQ0lNTeWiiy5i27Ztln28Xi933303BQUFpKenc+2113LkyBHLPo2Njdx2221kZ2eTnZ3NbbfdRlNT0yA/O6WUUqeDbsG3zH4G33yNgEnQSJGpfZ3hHkLx/d7KV0nT7gibA0acHy5TjQTfTl7JaazirBS+NH+cZa2h3UebL1omZRjwxUvGnuhLU0qdJFefMZRvXTWp2/r/vryDFzZUyEbGaDDs4GuCzho2lDdZ9j3ZWW+9KcpM4WtXTOTsyz7KFb4fcr//v9gRKkvs4MYj8NqPWP7MU/y/pWWsqu2eRT0sN5WvXjYeR1yft4cX76Guzdttf6WUUqeOkxp8a29vZ/r06TzyyCM93v/QQw/xs5/9jEceeYQ1a9YwZMgQFixYQGtrtMHzPffcw/PPP8/f/vY3li1bRltbG1dffTXBYPSv8LfeeisbN27ktdde47XXXmPjxo3cdtttg/78lFJKnfoGLPgW7vfmIxOCHTIFzzC693s7FFdyWjQG0kvA3xwuU3V0L1M9iT557qhufZ5iXTWthHHFmvWm1AfJp88fzf1Xdg/Aff25zWytaJaBMxkjZbF5Rw/DFnIG/yKPw+cuGsO9V0zh6eB8Fvp+yNXe/+WxwGVsD43Ah6vPYy9gAy+6vsVsY5dl/bZpBq/fNZu7LhnHr26ZabmvzRvg54t2o5RS6tR1UstOFy5cyMKFC3u8zzRNHn74Ye6//35uvPFGAB5//HGKi4t55pln+MxnPkNzczN/+tOfePLJJ5k/fz4ATz31FGVlZSxevJjLL7+cHTt28Nprr7Fy5Urmzp0LwKOPPsq8efPYtWsXEyZM6PHxvV4vXm/0F66WFikV8vv9+OPKaU5VkedxujwfdfrT96w60UzTpDYu2yAv1d6v96DhqSYYCOIzMgm0VmAEA+DKwwwCwej57AeWWf4yFiqZRjAItB2VY5wFmIFA/OlPqj/dNotvvbidRTusE04NAz5/wSj9N3sa0e/DKlF3zCsjEAzyo9ejQaNOf4jPPLmW5z57NnmpIzFa9tPa3MCeamvA6oyhmYP+Hjve9/Kd544gGAjy08V72WqOZmtAykJthCg1aplmHGC2bQ8X2DYzzlZhOTbfaOUZ1w/4qv8zrE+ZxQ9nbeac0gDm0Wr8BfOYP2E0108v4YVNlV3H/HV1OR87cxjjijP6+YzV6Ua/H6tT2eny/k3m+g3TNN8XI3QMw+D555/n+uuvB2D//v2MGTOG9evXM3Nm9K8/1113HTk5OTz++OO89dZbXHrppTQ0NJCbG80CmD59Otdffz3f+973+POf/8y9997brcw0JyeHn//853zyk5/s8XoeeOABvve973Vbf+aZZ0hLSzv+J6yUUup9zxOAb6yx/p3qu7MC5CWb/GYGKQ6uB0zq7NPJDB3CbTbRZhtGu21o126OYAcLN38OG9Gy042jb+dQ9qXkBnfiMltosY2gw1bcw4OcXKYJG+oC/POAnfagE4Dzh4T48KieG4krpT4Ynt1v471qa7HN+OwQn50UIsusZH9jCz/YHZ2ebDdMfnRWEGcC9TkOs43M0FHseLGZfgxCdBh5tNlKCRn9zFJO0htHDF4+bO/1fhshPmx/h/scz1JoNHe7f3/h2XQUFOIyWgiabjrshbTbhnHQP5rvbcrAH4qWoE7KkddNKaXU+4PH4+HWW2+lubmZrKzeK0HgfTxwoaqqCoDiYusvGMXFxRw6dKhrH5fLZQm8RfaJHF9VVUVRUVxJD1BUVNS1T0++8Y1vcO+993Ztt7S0UFZWxmWXXXbMF/VU4ff7WbRoEQsWLMDpdJ7sy1HqmPQ9q060vTVtsGa5Ze0jV///9u47Tq6yXvz455zpuzvbd7Obtum9JxASAqGXUBUFReoFFbH+lGu9CnoV1KvgVS4oVylXVEQpIgISIQFCQiAhkN57sr3vzk49z++PZ+rW2SSbbPm+X6/zmplznjlzZvbszDnf832e78W4HF2faHUqUI1RaxBWDv75QZCFc8ZjtxmoorPBkfhNMfa8jrkxcWKlDBvTL/sc071jMSoAZaGKzwV75vG8rT5zWeMW7qzZx6uHMsgpnMBF04ZhM6VC32Ai38Oity4IW9z42DreTxrXbWejyVb7OL5x0cVsevF1IJELMGNELlddvrD7lSoFrXswmnYAnYwpaZiozDGQNanLytAnal9eBkxauZcHXtvd6fIxhVlkTrqFPxjXccWe7zK+YU3K8nHV72DlLMGafS4EKzAMO8rt4YwMJxXuHB5c0xRvu63BxBo5m8tnlR7z9orBQ76PxUA2WPbfWA/JdPTb4FtM+7LaSqkeS223b9NZ+57W43K5cLk6XjFzOBwDeufozGB8T2Jwk31WnCz1/kjK42y3nayMY6jA52sCmx3lLMbJNuy2bOzOLMgoSG13+J2Uh0bROBy54/R4b6apg26e3N6//slgRSBYwbAsOzeeNb3jWHZiUJHvYZEuhwN+fcN8Lv/VKqqSxtD87ar9jCvy8vohN9AWnz+/LL/7fcsKQd37ugCNzQYZwyGjTI8jZ4WgabseY7PtIIRqIG8uuPK72b7j35e/fOFkFk0oYt2BOixLBxI9TjuLxxcwpcSbOOeIvAivfBPe+9+U55u7V2H6GmDJdRCshFA9tPi5c3qEpzdmUNWaaPuNZ7dQkpvJovHtfj/EkCXfx2IgG+j7b2+2vd8G30pKSgCduVZamri6U1VVFc+GKykpIRgMUl9fn5L9VlVVxeLFi+NtKisrO6y/urq6Q1adEEIIkax9sYXi7GMIvAEEdbEFXAW4VAOQ3bHKKcCBt1Mfj5ilTyibY1VOi47t9U+GtiP6xNee2b+3Uwhx0hVnu3n4hvl84pE1hCKJLLdvP7epQ9u5oztWAY2zwlCzVlePNmyQOwMyR6e2KVoMbZXQuAnCPqhZDVnj9WRrVwxBKQjUQEs1hJsh4odIQGfL2b3gyAJngb6Y0EUGXczpY/M5fWzXQT4AbHZY9l+QPw7++W2SM/44uhmWN8K5twONYPnJaNvKNxZM4mtvJDKkgxGLz/zfOv782UVMGz44euMIIcRQcEqrnXZn7NixlJSUsHz58vi8YDDIG2+8EQ+szZ8/H4fDkdKmvLyczZs3x9ssWrSIxsZG3n333XibtWvX0tjYGG8jhBBCdKZDpdOsYxhDyIpAsEHfdxbgVtExf9oH34I+OPJ+6ryy6O+UP3oRqT9nk7Xs07eZZbrSghBCJJlflsf3r5zRbRunqVhU3ND5QisCte/qwJvpgOIlHQNvMZ5hULwUMkbqAFvzbqhYDnXrofUANO2A+g0URT7AqH1HzwvU6WCdiugAXKAGWvbr55T/E2rfA39V56/XG4YBi+6E654Ee7vflPpD8PIvIJQJ9gxQET46aj/XT0rt1tQcCHPTo2tZtavm+LdHCCHESXFKM99aWlrYvTsxPsK+ffv44IMPyM/PZ/To0XzlK1/h3nvvZeLEiUycOJF7772XjIwMrr/+egBycnK47bbb+NrXvkZBQQH5+fncddddzJw5M179dOrUqVxyySV8+tOf5je/+Q0An/nMZ7j88su7rHQqhBBCAB0qnRZ5jyH4FmoAZYHNDcrCVAEwTHAVprY7/K7OHIsxTBhzDoRaINwafU4/zSjzHYFQk85E6epkWAgx5F2/cDSbjjTwp3cPdViW5TT56XlhCiN7wV8M7qTvu0gQ6jfo7qSmHQrPSBkvs1OmA/LngqcEmnbq7yjfUT0BRiSMSUi3yxylv19t7kT31VCzfo6/Un8Ht1XoyZkD3ongLjm+Cw1TL4dbX4E/fhxak4JobfXw8k/hzE/DiBEYbRX85/w91Pon8M+D3nizmpYgN/xuLbctGcu/XzwZd2/HIhVCCHFSndLg27p16zj33HPjj2MFDm6++WYef/xxvv71r9PW1sadd95JfX09Cxcu5NVXX8XrTfzwPPDAA9jtdq699lra2to4//zzefzxx7HZEj9Af/jDH/jSl77ERRddBMCVV17Jgw8+eJLepRBCiIGquukEBN8CiS6nBKIZbM5CMNudKG1+JvVx4RjILoPWg4nn99Dt6ZSwQtC4Rd/3TtQnskII0YV7rpzOtvJmPjjUEJ931sRCfnzNLEaoXToLrfZdnbWWWaYz3Zp26O8awwYFC8GZm/4Lekr1FGwE3yEIt4AtA4WDelsTatiF4Ozkuz3+GtN1EK71kN62YCPUrtPLc2eAM6/jc9M1Yh58egU8+RGoSSrYEA7AGw/ChHPh9KuxBcv57zO2cpN/Bu9WpRbc+d2qfTz7/mEunl7CZbNKWTy+UArdCCFEP3RKj+LPOecclFJdLjcMg3vuuYd77rmnyzZut5tf/epX/OpXv+qyTX5+Pk8++eTxbKoQQogh6IRkviUF34wmXa1budtlsPmbYFO74NvYxTqQ5Y9W5naX9P61T4amHbqLlj0TvONP9dYIIfo5l93GE7eezn0vb+NQvY+r54zgY/NH6qIEaobOMgvU6AsPsYsPoDPd8mYde7DLmaOnmFCIoLFTZxX3xJENudP1BYaWvdC6Tw8nULVKBwm943vOxOtK7mi4/XV46pOwv924n7tXQMUWOPsLuHPz+N+ztvHFtyfwZkVuSrN6X4in3jvEU+8dYkxBBp85ezzXzB+Byy7ZcEII0V/0w0voQgghRP/QoeBCb4NvytJZG6AH7w7W6fuuduO9bfoLhJLK2RkmzL5Od7WKPb+zAg2nWrARWvfr+7kz0zuJFUIMeTkZDn58zayOCwwTihbp8dda90NbORh2yJkCGaNP/XiSNqfelqyx0LRNZ8P5DuvJkQ2e4WD3gOHQbc1oN9aevhvdOXDj3+Clr8H6J1KXtVTBS9+DceeQc8Z1PH7hEZ7Y0sB9H4wmaHVc7/5aH99+bhO/+NdOvrVsCh+ZO/IEfgBCCCGOlQTfhBBCiC50KLjQ2+BbsEEP3m06dRU9FBHDowfSjlEK1j+W+rzR86BgCgSq9HJHtj6h608iQaj/QG9fxvDU8ZmEEOJ4uPL1ZEV04OpUB93as7kgbw5kjtHFHPyVumtqqKnz9o4s8E7Swbmu3ovNAVf8EiZcAH/7AvgbU5fvXQkH1mCedjO3zpnKmSVb+O66MtZWdZ5xV9Uc4P/9+UPW7Knl+1fOwOOULDghhDiV5BK1EEII0YlQxKLOF0yZ1+vgW/J4b9GKpQEjN7XN0Q1QsSl13tTzwJmvB/cGPWB4fxJuhepV+kTTdEDO9FO9RUKIwci09b/AWzJnLhQsgNKLdJfY2IUIZ040Ay56qhVqgbr39fdmoK77dU69Ej7/Hoxd0nFZJADvPAJ/u5dJNsWfLz7MW1ds4Fuz9zM1P9CxPfD0usNc/T9vs7uq5fjeqxBCiOMimW9CCCFEJ2pbgrQflrQoq7eZb9HgmzMfmncB4DdyUtu0z3rLKoQxS/RJW6Baz+tPXU7bKnXGmxXUJ5cFC3WFQCGEGKpMhy4OkVmWOl8p/V3ZegBa9uhs6JrVOmsuo5vuoN5hcNOLsOkpeOXb4GsXsGuthuU/hrIzGTXvAj47rYLPTDnK2zXDeHjHWN4+nJpfsaOymSsfXMW9H5nJ1XNHnJC3PBAcbWjj1S0V1Pt0JXGbaTBpWBZLJhaR5ZLTYCHEySXfOkIIIUQn2nc5tZsGeRnO9FegVGK8NtOmT8BMByGyEm06K7Qw+RzIGqWz5qywDmw52gXsTrZIANqOQMt+nfUG0YyP03X3KyGEEB0Zhv6OzJ6kA3ONW8B3BOo26DFBM0d3/9xZn4RJy+DVb8GGp/QwBskOvA1H3ofTP4lRnMWS4kqWlNTzQuUsvvWGg9ZQImvQF4zwlT9/wNp9tdx9xXTcjsHbDVUpxe/fOcCP/rGNQNjqsNxpM1k4Lp9bFo/h/Kn96OKWEGJQk+CbEEII0YnqFn/K48IsF6bZi+5PoUYdPDMdEPIBoFxFYFQk2mz+a8dCC1POg4xR0LhNz3MPO7ndrpSCSJvuUhqsB39V6jhGpl0PfJ49RQcVhRBC9Mzmgry5+jehZT/Uf6iDaVlju3+eOweufAgWfh5euQv2rU5dHm6D1Y/CtGUwaQJYYa4s3sSMj07mzn9lsr029ffjT+8e4oNDjTz8qXmMKcxMWeYLhlmzp5aNhxvZfKSRo41+RuR6mDkih1kjczh9bD6Z/TxjrKrZz7//ZSNv7Kzusk0wYvHWrhre2lXDXRdN4gvnTTyJWyiEGKr697enEEIIcYocd7GF5PHeAlXR+0VAUvBt/eOpzxk9F4pm6+p+beV6nqe0d6+bLmUlAmzBBl0QwvJHb8Md2ztzdZaGZ4QOwAkhhOgdw4hWhrZB8x5o2KwvurTvrtqZYdPh5pdh2/Pwj7ugpV1waetL0DgH5p4JDhjn2MvzV4/h+2u8/GlragBuW3kTVzy4ih9/dBYXTCsG4PdrDvA/K3bHu2gmt/3XNj1mqctucu7kYi6bVcqF04b1u+y5tmCEG3/7Ljsqm9N+zs9e3YlhGHz+3Al9uGVCCCHBNyGEEKJTJyz4Zs9KFE5wFSeWH90A5R+mPmfKeToLIlAb76aKq6CXW56G1kPQuLnzIBvok0GHV1dZdRWBq1C6lwohxImSMw0wdKXU+o06GNfdGHDJpl4NY8+Fl78GH/4lddmRD3RQ7syrweXDHTrEfWePZuGITL690sCX1A212R/m8398H4fNINNlp6Fd0K0zgbDFK1sqeGVLBcNz3Hxz2VSumFWK0U+KYvz1/cOdBt6WTioi02WjrjXI+gP1hCKpA7r+1z93AEgATgjRpyT4JoQQQnSiqn3wrTfFFpSCYHSAbBUNcDlzUwNY69oXWiiA8eeDPRNa9up5ntJEtbwTwQpDw0Y95hCA6QRnnt42ewaYbj3GnD3jxL6uEEKIVDlTdbfTln26iI1hSz/T2Z0DH/ktTLwInv8ihJOGSWg8Am/+Bc66FmiGtqNcPWkiM4oUn3sFdtWlBspCEZVW4K29o41+vvSnDTz+9j5+cNUMZow4tWOTKqV4YvX+lHnFXhc/+/hszp5UFJ/X7A/x5DsH+ckr21Pa/tc/d2AYcOc5EoATQvQNObIWQgghOtE+8604uxfBt1ATWCHdPTPcpuclVywNNMOmv6Y+Z/I5kD1RB+76ostpJABVb+rAm2HoMdtKL4LC0/Vg4BkjwV0IjiwJvAkhxMmQMx0yR+nv/br14Dvcu+fPuBZufQmyilLnt1TByj+A39BDC7TsYkKBneevc3LlRNX5upIsKMvj9iVj+eHVM/i3M8eyoCwPexdjnr5/sIGPPrSaP6w9gGpfIvwkent3LburWlLm3X/tnJTAG4DX7eBz54znB1dN77COn76yg4dX7unT7RRCDF2S+SaEEEJ04ri6nQajXU4duRCo0feTgm/Glmc7FlqYdpkOfgVqdaDMdOjunidK/Ye6UqndA/nzdcabEEKIU8cwIHe2Dr75DusqqFao5yIMyUbMh8+8Bf93GdQkBY7a6uH1R+Hc28FogoaNZGZP5b+vHsGSD2r47foQO9tlwZ0+Np9vXDKF+WUdfx8afEFe3VLJX9Yf4r399SnLghGL7zy3mfX76/n+VdPxuh0py5VSfd419fF2WW8TirM4c0LXwzbctGgMlqW45+9bU+b/5JXtGAbcsXR8X2ymEGIIk+CbEEII0YnqluPodhob780wdbcim0uPnxbWXVDNDf+X2n70XCg5Td+PZ72VnLgMtNaD4K/U6ytYqMdzE0IIceoZBuTNiVZB3aeLMEQCkD05/UrX2aXwb6/BE5dC5bbE/EAzvPZrOP+L4FXQ+CGG1ca1s8u4dn42TfUH2VIZYk8DTCjysnD6JAx35xdmcjOcXHvaKD6+YCTLt1byo5e2caDWl9Lm2Q1HWL61kmtPG8WoPA+vba9i3f568jOdfGvZFC6fNfzYPqMeHKrz8dr2ypR5Ny8q6zHgd8uZY1HA99sF4H788nZMAz5ztgTghBAnjgTfhBBCiE4cc+abUhBoN96be1j8JCrHtw+zol2hhakX6iqiKV1OT9BJStgHjVv0/ewpEngTQoj+xjAgd4Yeh7NpBzTv0t1F8+elX+wmIw9ufRWevBIOb0jMD7XB8l/AeV+CokJo3KaHRnCXkp03jkV5ikWtB0A1Q81q/XuVNU4X++kkeGUYBhdNL+GcycX89JXt/HbVvpTlzYEwv2s370hDG1/44wbe3FnN3VdMJ9N1Yk9Bf//OAZJ7vHpddj46L70CFreeORal4Acvpgbg7n1pOwYGnz573IncVCHEECaDugghhBDttATC+IKRlHnFXnd6Tw636Eqlhq3T8d7G1KxMbZ9ZAJOvBNOmizRE/Ceuy6lSUL9BF1pwFegTKiGEEP1T9iQdcDNsesiCqjfBX5P+893ZcPPLMOaM1PmRICz/GWzfAN7JEGyApq16ajsC3gmQMVoH2/yVULMGKv6ls/BaD4C/CkLNKRWynXaT/7h8Gg9/ah5ZaQbTnl53mMt/tYpNhxvTf089aPaH+PN7h1LmfXzBqF4F+P5tyVi+e/m0DvN/9NI2fvvW3uPeRiGEAMl8E0IIITpon/UGUOh1pvfkWJdTm1uPsWaYiUBaoJmR9WtS2085B7KjXVuao+P1nKgqp21HdRaeadfdmvp4zB0hhBDHKWOEHqagbh2EWnQgLHM05EzTF2Z64vDADX+HP18Lu1akLnv/z1CzF5bcArYwNO3UF2YibWD36sBcuBX8FfpCUMu+jus3HboitqsY3MVcOqOEKaXZ3PfSNpZvq6Snmgv7alr56MNv8+8XT+b2JeMwuyjkkK7/fWsfjW2Jaq2GATctKuv1em5bMhalFD/8x7aU+bHHt58lF6+EEMdHMt+EEEKIdtoH37JcdjKcaV6vihVbIHoG4irQwS/A2PocdsufaGsYMPs6HagL1kfHZTN0FsLxUkp3XwLImqBPloQQQvR/Di8UnQVZY/Tj1oNQuUIXZUinoqjdCZ/4K0y/rOOyg+/BM9+E/dvBOxUw9W9FWzk0bYdQvR5vLm+ufn33MB0MjAX+rBAEG3XX2Oq3oeJfjHWV88gNs1l51zn825ljyc90UuR18dG5I/j3iyeT6bSlbEIoorj3pe3c/Ni7NPiCx/wx1bQEOmSmXTRtGGMKM49pfbefNY7/uGxqh/k//IdkwAkhjp9kvgkhhBDtVDX7Ux73qtJpLPMtEr0S7y6OL+pQaGHUXCg5Xd+PBcoyRoL92E4cUvgO6wwG09m7ynlCCCFOPdMOuTP1eKANH+osuLoN4NwLOTPAld/98212uOb3UHgPvPU/YCUNpRBohrcehl1vwsJPQuEkffEnUKMzr0MtOvvaUwqeYeDI0QE4ZemMuFCD7orqr9KPG7dB8y7KMsfwvWUT+N4VqV04L59Vypee+oAPDzWkzH9rVw03/G4tT962kNyMNLPLkzz4+u6UISJMA+66aHLvVrLjWTj0FnhLoHgSt08biYqM40evpAbbfviPbZiGwb8tkd9TIcSxkeCbEEII0U778WhKstMc7y3UoqvUoUAFASMx3tvRDzDLP0htP+MKcObprqH+6mjW26Tj3Xx9gtQcDeZ5J8Qz74QQQgwwrnwoXgote6OFGBp1xlnmKMiZ3n1XVNMG5/4nlM6BF74GvvrU5RVb4G//AZPOh3lXQOYwHYALNuiLQMoC35Gk9TnB5gSbB+xZuohPxJcYE655N7Tuh6zxeozR6G9PWUEmf71jEQ8s38nDb+xJSd7bfKSJG363lj/cdgY5GZ2/l0A4wt7qVhrbQjS2hQhFLCKW4g9rD6S0u2beSCYOS6OoUKgJ6jbDaz+CnatSl3my+fT0S+C8T/Oj16tTFv3gxa0Yhi7SIIQQvSVH40IIIUQ7b+1KHeD6tDF56T0x3uUUwNAnL7EstvWPp7bNzIdpH9P341lvo09M99DWg7rYg80NmWOOf31CCCFOHcOMFkUYpX8vWg9A6yEd9MqdBZ6S7p8/5RoomgqvfENnu7W38zXY8xZMuwRmnK8LAYVbor9pNiAChl0XgohNZlKmms2ts+PC0aIMTTv0eHHeCfo3yLThsJl8/ZIpLJlYyFee+oCqpOEdNh9p4pP/+w7/efUM5pclfm+b/SEeeXMvj67aR2u7IkjtOe0mX7kwjYtXwXrY8TQs/y9oqu64vK0J1j3Np4veJeOM7/Kddzwpi7//960YwC0SgBNC9JIE34QQQogktS0BtpY3pcxbMrEovSfHupwqS5+cxLLeAi2w6S+pbadcAJkjdSW7QE305GricW49umtR8y593ztRZz4IIYQY+GwuyJuls97qP9DZ1rXv6SBXTsexylIUTIPrnoLNv4cV/w2NR1OXR4Kw6QXY+gpMvRjGzIVhExLFf6xQYoq0gAoBlv7NcebqbqkAGEBEV/1u3Koz9rwTddEIw2Tx+EKe/uwiPvHIO1Q0JYZ42FrexDUPr+asiYVMLc2mNRDmpU3l1PtCpOOmM8oYkevpvlGgFrY/BS/cnRgaoivV+/lUw50UTvsCn906P2XRPX/fimEY3Lx4TFrbJoQQIME3IYQQIsXqPbUpjzOcNuaMyk3vyYFaQOmTE5stMd7b5mcg2BJvpgwDY97N+qQm1j00czTYezhxSEfrfj0Gj92j1ymEEGJwcebprqhN23WV7Obd+ns/b3b3lbLtmTD7szDuAljz37D+rxD0pbaJBGHz3/WUNQyGTQZPNrgy9dAIytIl+zILIKsIsot0AM53CDD1RSfTrn8HiWarNWyClj16WIWMkYwpzOSpz5zRIQAHOvO8ffZ5T7xuO3ee20OhomA9VL4NKx7sGHizOfQ2h9pS54cCXLz35/x5zEe5bv816MCidvcLW6KVVcf0aluFEEOXBN+EEEKIJKvaHfQvHJuP055GcfCwT5/8RNrAdOkDeVeBXtauy6kaOQej5HQ9zlug7gRmvYX1SRiAd3L3J2FCCCEGLsOEnGlg9+qCDL7D+jeo4LTux/k0DMieABf8DGZ+HN5+ELa9pn8/2mup1FNPisbB2IVQNgeo0F1U3cU6AzziS1Rorf9AB+FypjOmsIg/feYMbn70XQ7W+bpZeUK2205OhgOnzSQYsfCHLEbmefj2sqnkZ3ZTsMEKQd162PAsNLTL+Csog3M/D9klULUL3vgNNFelNFlY8SyvDDvMlZWfJ0hiXLrv/W0LBnDjYAnAKQUq3P04gkKIYybBNyGEECJKKcWq3anBtzMnFKb35PZdTl2F+uSo/EM4+n5KU2vWNZg2J9TGst7G6DFzjlfLXt3Vx5Glq6YKIYQY3DJH6d+PunV6CIPa96BwYc8XX2wuGH42XDUb5r8B7z0OO1amVkVNV/VePb37JxhzGsy5AoxqHcRx5uvfxXALOmUOqHkH3MMYmzudf37lbP747kEeXrmHmpZAp6u/aNowvn7JZCYUp1FMoTMNm6F6N3z4t9T5BWPgiu9B1kg9Zl1GCeSPhtWPw+63U5pOaXyXlblVLGv4Fg0ktuO7f9sChsGNZ5Qd27b1F8F6HaAMt+kArenUxzHZk09MBXYhhATfhBBCiJgDtT6ONKR2Ozkr3fHeYsUWVPTEJTbeW7ust4AjC3PqdXqg7GC9DtR5e+gukw4rpDMKIJr1ZnTfXgghxODgLoLCM3RQK1ADteugYEF62c/OHBh3JYw4E468BVtfhD1roP7wsW3L/vf0NPZ0mHMlZNvAcOrqqCqsK42aNvBXQmUVnsyx3LZ4EtefPppn3j/M+wfrMTBwOUzyMhxcOK0k/aEfOuM7Ai0H4c2HwbIS8w0TzroNMkt0tmDss3IXw1I3FI6Fd/4AJEqzDvfvZ2XWt/hI63fYp0rj87/7/GZMAz61cIAG4HxHdFaiin4+SunK7b4j0FYOmWW6y7Ctm+xCIUSPJPgmhBBCRLXPeivMcjFpWFZ6Tw7U6gBYrHuNu1gXWtiYWmihIm8Ow115UL9Gz8gaozMQjlfzHt1tyJENntKe2wshhBg8nHlQcLoOwPkroX4D5M1L/0KMqwDGXQ0jz9FBlyNroXwz+Or15E+MW0rIDy3V0FzTeXdVgH3vwr73YNxCnQmXUwSGQ/9GRdr0b6bNozO2fYfxZE/khtPLuOFEZpCFW/V4c9uXQ/X+1GUzl0HpLP2ZJQcps8bqxzMM8BbDyodTxoLLDdfxsuc73Or/Gmus6fH533luMwYG1y8cYGOtNu3SYweCrpqbOxuw9FAazbv0hcKWfXqfyJ0BGSNO6eYKMZBJ8E0IIYSIaj/e25IJBRjpnLiE2/SBaqhRnwA5c3Q3oA//D4LN8WbKMNhXeCHD/RUQbNRZb1knIOstEtAnMKC7iEjWmxBCDD2uAp3FVfse+I7q35jc2b37TXDm6ilnGkxq0b8vVkBnrRn26GRGq562wZ6VsP0fsHdNx+INKNj7DuxdC5OXwtyrITNf/z7aPDoLzl8Bjjxo2KIvInknQsao46/UHfZB9Wpoq4P1z6Yuyy6BeR+F/Hmdj2+WmRQAvOw78K9fQktiHDi35ecPznv5aeg6fh25glghhm8/twlg4ATggo2JwJt3PGRPTewrNje4FuqK7I1b9N+q7n09tmDurBNTIEqIIUaCb0IIIQQQsRSr97QLvvW6y2lYn+x00eVUjZpHo6MMo3mnnpE17sR042jepbu7OvP0lWshhBBDk7tYB5Xq1kPrIR0sy53R+/UYBji8eurOnPEw5zZoOghv/xw2PN15EG7HSh2Im3WFzjpzZuksOIdXZ8GFG6NBuE06IJQ5WgfBjmW8sbAPalbrAhTrnoJAa+ryM2+BrBH69buSWaYvrAFc+V147WGo3BpfbKL4puMp5pm7uCt0B03o7fz2c5swDPjk6QMgANe4JVEkSkWgdq0OumWO0QFYAHchuM6KVtXdqTPhKldAzhTIHCsX+4ToBSmDJoQQQgCbjzTS5E/tPnPmhIL0nhyoBazEeCnuYijfCEfWpzSz5lyPi4bomDd2faX5eIV90HpA38+ecvzrE0IIMbB5SiFvjr7fsg8at/X9a2aPhkv/G760HhbeAo5OMqNCflj/F/jLXbBzhQ6sObL1wP6uQgg3Q7BOB82a90DF61D9tv6NiwR73gZl6YBjzWodOKvZDjtWpbYpWwAjZkBWGr+/OVN08aKMPFj2dZh0UYcmF9nW84LzP5hiHIzP+9azm/jzewc7tO1X2ir059q4NTpm7H5dgb31EFS9pT/3tgrd1jAheyIUL9XZlSqiMxWrV+njGSFEWiT4JoQQQgBvt8t6G1eUSWlOmt0qArUQatHdaEwnOHI7ZL2RmY+aci1Z6oh+nDWu8+4uvdW0Q59wuIv0FWohhBAiYyTkztT3m3frLoPHUsm0t7KG6yDcF9+D024AeydjmrbWwsqH4Jm7oHyTDhY6cnRlVGeevqgUbtFBuEAd1G+Eileh6k0d9PEd0d0hQ026cJHvsA4wVrymCweEfHrcu/V/T33Pph0WflIH/NxpZrbnzdaBQZsdzrkdzvkmsW6mMWPMSp5zfo+Pmm/G533z2U08/d6h3n9+J4Oy9P7QvEtn6nuG6e6+mWX6uCTcqgNvte9B9ZpEgM2RBYWLIG+W/iyDDfpvUr8xveCoEEOcBN+EEEIIYM2e2pTHSyakGciK+PWBaqgB7F6d9RbywcanU9vNuBrCddhVmz64zRp3/BsdatYnHSBZb0IIIVJljdGBEsPQAatYV8yTIXsUXPY/cMcbMOVC2gesAKjeA8//B7xyD/gadeXvWFdXe5bOuIr4ddfISEiPUdayVweOatZA5RtQtQrqNugAY/y9heHgdjj0YerrzVwG2cN6l3VumLpyrMMLVhCmLoJP/QU8+SnNPEaQ+52/5n7HQ2TTilLwjWc38vS6fhiAa9qpC3IodBXT/NP1uH6tB3QWnOnUwcvGzfpzrXwD6j/U4/8Zhg7SDTsXMobrIlOtB6DydZ1lGSs6JYToQIJvQgghhrxAOMJ7++tS5i0en26X0+jzrJC+EuweBpufTSm0gGHAaXfEx3pTmScq6y1Woaw0MT6LEEIIEZNZBgVn6N+cYIMOpLQeOnlBksKp8Im/wi3PwvAuxp7b9Rb88TPw5s/AzNJVWt3FOggUK85gKD2uqmqfvWdG23miVUsVVB+AVY+lNsvIh9mX60IBnuG9ew+mAwoW6m0JNUNuFnx2JYyY36HpR22reMX1Dc40N+kA3F838pf39vbu9fqSFYbyV3SgMnuCHg+w5m1ojXaTdeXrolGZo3U2XLBWH2s0btcBtqZdOpvQ5ob8+VC0WGcSWiFo2AxVb+isRCFEBxJ8E0IIMeR9cLABf8iKPzYMWDg2zeBbsBYsf7QCnKG7srTvclp2OmRkQrgVC4cepPh4Bet1txDDkKw3IYQQXXMXQvFZ0SBJUHfNrFmtM8lOljHnwe1vwlX362qj7YX8sP6v8NjH4O2fAg4oOgtypuqsM8MR/Z1tXwXV0u8p0hYd860B/vULHWRKtuhWcGZEiwQcwymw3QOFC/VFtkANhCvhln/AaZ/u0HS4UccfnPdxt/0JXAT4+jNb+eubb5+cbr89qXtfD5Vh88CwC3QGXLgVynfCuy/Aq/8NH74OlXUQydQBOM8I8B3Q48I1btVBuNaD+vN2FUDx2dGuqA4dnKxZAzXvynhwQrQj1U6FEEIMeavbdTmdVppNXmaaVUgDtfoExu7V49VUbYcj61LbzL9Vd/MAfGaJPng/XrEBtDNG6XFYhBBCiK7YM3UArmWfHis0UKfH6/KUQvbknquangimDebeBtM/Dm/+CNY+roNuyXwNsPpxWPc0TDkP5n4Shi/WmVaBWn3BK9Ssu0lGAoDS1TptLqg7Cq/+XK8j2YJbYOxcHXTLPI4qpI5sKDgdat7R3TINE5b9F4w+A178KgRSg5m32v/J2eZG/l/oTv79pXHQ8ic+dtYZutjDqagSakX03xyg8HRo3Q/Vu2HdX+HQhkS7Xf9M3J94Acz/mL7IF6iDll3gHh4tirFb7zue4TrD0jNc71ut+/Xn46+EjBH6ufaMk/lOheiXJPgmhBBiyGs/3lvaXU4jQX0SEKzXB9PuYfDmQ6ltMvNhzEJo3AKmi1aj+Pg32F+tT0IMU4/XIoQQQvTEMPV4ZxkjdAaT7wi0levJU6rHInXl97ye4+XMhgt+AnNvhVe/BTtWoAcgSxL0wcYX9VQ4FiYuhTFLYMTp4J2su5qaNggHoWqjDuS9/4dE1fGYMUvgjBvAX6Hf9/EO+eAq0AG42nf151a/AWZcowNwz98J+95IaT7eLOc55/d4InIx33/zGozgS1wz06vHTMssO7lBuLp1EGrUWW8ZY+Gd/4bV/0eHzz7Zrn/pacoymHeZzoTzV+msNk+JzqRz7NYBNs8w3Y01a6zuquo7mtjHMkfr4xVbJwU4hBgiJPgmhBBiSPMFw2w4VJ8yb3G6xRaCtXr8GRXWB/RmVsdCCzM/Bq16vBeVNR6M7ce/0U3RrLfMMborjBBCCJEumxvy5+lAStOORACurVyPH+op1UEmRw5g6N+5iF8XFgo26kqkKqzH+TJsukKpMy9aFbQXwZWCKfCJZ2Hfq7DiXjj0Qeftavbpac3jOnM8J5pBbtqgqQICrZ0/L2ckXPNbaHpfPz4RQz6AHl4if74OZvmOAAry5sKNz8N7/wvLvwfhREafzVD8m/0VltnW8oN3b2Rng5u7Zj+OI2c8lJyng4J9zQonst7y5sOOZ2FND4G3ZNtfgl2vwbxrYdpScEXHEIxl8te+q/cd70QdlMufD1kT9PGKv1p3WW09pAOO3vF6HxRiiJHgmxBCiCHtvf31hCKJg0+7aXDamDSv/Afq9NVfe5buUrFzOQSSxzgxYNZHIFyrDzQzy4DjDL61leuTH9OuD3KFEEKIY+Hw6kqeoSbdHdV3WAdUgg16uWGkV5gh2ADs0+09w3UmuDMnvW0wDBh3MZSdC9uegncfhYMbum5vhaH+cM/rzR8Ln3oGVIvOhnPmpb9N6fCUQP4CqFuvM7ysiP4sF34Wxp0Lz30Wjr6f8pQSo56HnL/kjT2z+GLltdw0p4LJNY9RUDxej2+XOfLEbV97tWujxysZEArBa7/s+LfNKtEXDOv3w4HV0JZaiIpIAN77PWz7J5x2HYw7TQdmQw1gRIfqqH1Pd8/NngTuEig8QxdgaNquewm07NXdUjNH6+CcXEAUQ4gE34QQQgxpq/ekVuWaPSqXLFeaP4+BGn3S4cjWldnW35e6fOwiMKJX5L0TOhkoupeUlRjrLWsc2NIcl04IIYToiiMb8mZD9lRoO6yHNQjU6sy2GMOm2zlz9a0ZLYBghSBYp9uHmnQmmO+IzoLLmaKDXumwOWHGTTDl43BoJax7HPasBn8vB+037XDm52Hpf4DNARX/0vOzxvRuPenwlEDBaTrg5K+EmrX6cdEkuG05vP0A6o3/wogEUp621LaRM3zbePitK7gtfDmZLpOFxa+zZIyDJTNnM2rUlGMrCtGVkA8qo1lv3inw0g86fq4LPwunfwpMQ3dLjSj44K/wzq87jGVHSxWs+BVsnQYLr4Pi8Xo/sAJ6Pwk1Qe06PR6td5LOpCxeojPgmndGx47bD60H9Li13gl6TEIhBjkJvgkhhBjSjnm8NyukDzBDDZAxEprq4fB7qW1mXq276sSy3sLHWems9YCuSmZz6cwCIYQQ4kSxOfWFnaxxOisq4tdBINPRfTAoY7i+DTZCyx5oO6ovTlWt0mOh5kzRAbt02D0w9lIou0B3U9z5Eux4FSp3QGNFN9uQB6PmwXn3wLBZep7vsH4PplNn5PUFdzEULNTdLgM1UP22ropqc8PZ/44x4xrUS/+OsftfKU9zGSG+Yn+W62wr+a/QtTx3aAn/OGTCW/s4a/gWPrcon0WzT8Nwpvm5daf8ZYj4wJELG/4OFTtSl487C2adA20HU+dPmgVTnoQNf4P3HtNZbskqt8ILd8PYxTB7GRSO0W0MU18sDLXoMeHsHr1PZYyGojN1oLZ5lw7GtR7Uk3uYbuNOc9gPIQYgCb4JIYQYshp9ITYfSb2iuyjd4FugTh/MYuqD7A/+lro8owCGjdbj4mRPip64HEfwzQrpsXlAVxc7ERVThRBCiM4YRu+7BDpz9Fhy4ak6w8l3KKnq5XBdKCHd6tymA7zjYP4XYM7t0YDNETi6XmdeKUt39fTkwajFUDQzdd1WODVT/ERmkrXnLtRBpVjXzupVOiDn8EL+OIxP/RW2Pk/oH9/A4atMeWqpUcf9zl9zm/UyPw9/nNetubx1NIO3nvEze+UrfG6exYVzp2HLnpj230MpxdFGPzsrm6muPkJh036GZ3oYmZ1L1gfPpTb2FsPiT+mgmcOru4pG2vS4fsEGiDTC7HNh0ll6zL09Kzq+4L7Vehq/BOZcDnnR7rOGXa833AYNW/QxTGaZHnuv8AzdDbVpV2If8VfqIG3WOD0OXl/+zYQ4BeTIvZdaW1vxer0Y0co0wWCQUCiE3W7H5XKltAPweDyYpv7iCIVCBINBbDYbbrf7mNr6fD6UUrjdbmw23X0pHA4TCAQwTROPx5N2W7s98edva2vDsixcLld8fiQSwe/3d1hvd20NwyAjI1FK2u/3E4lEcDqdOByOXre1LIu2tjYAMjMT6ciBQIBwOIzD4cDpdPa6rVIKn88HQEZGRoe/Z2/apvO3PxH7SWd/zxOxn8T+nr1pm87f/nj3k67+nsFgkNbWVjIzM49pP0n+ex7vftLV3/NY95P+9h2R7t9+IH9HrN1XSyQUQlkRDJsNt8vFvNF56X1HBGsh2ICye/H5bbDuKTKUSrSdfAmh1hbsrixcGaNS3kdrayvZ2dm9+45o3gVWiBAegqoAm98v3xGd/O2Pdz+R74ievyP8fj9tbW3xz7env+dA/o7oqq0cRwz87wgjqcqkfEec6OMIC9M9CY93gg64+I7QVrsPq3Yfrtyx2POng82d/neEzU3EVYJf5WJMntH53x4nsW+kSCSCv3IjRmsjGd48PcA/ff0dYceRczrOpvch3IqqegufS1cAzcjIwJj+ERzjz6fl5e+j3vsdLpuF02bE95Mx4f38iv9iu2MCv4pcw0prNh9UOfnMPyKMW7WF22et5czxhYwpm47P0IUtks/lgsEg7++v5ok1h3hrbyMtgbDe5qAfGIPNYec51z3MMS1CEUUwAsq080LxFzD35jJj3DhGeofjsJu4s6J/z2A9odptBJuPYDNN3Od9GmZeAW89hK9iF0qB2w42U7+P8K63CGxbhTlxCZ7TroRcnW3YFjSxVBi3PYCteQ+07CXsKCZgL8XMnIknZxq07oPWQ7Q1VWM1VuHyZGHP0dlyEcMpxxFRg+c7IkAkknpBeqAeRwSDQdKmRFoaGxsVuhyMqqqqis//4Q9/qAB1++23p7TPyMhQgNq3b1983gMPPKAAdf3116e0LSwsVIDavHlzfN4jjzyiAHXVVVeltC0rK1OAevfdd+PznnzySQWoCy64IKXttGnTFKBWrFgRn/fcc88pQC1evFgFg0H1/PPPq2AwqBYsWKAA9eKLL8bbvvrqqwpQs2fPTlnv0qVLFaCefvrp+LxVq1YpQE2YMCGl7bJlyxSgHnvssfi8DRs2KEANHz48pe3HPvYxBagHH3wwPm/nzp0KUDk5OSltb775ZgWon/70p/F5hw8fVoCy2+0pbe+8804FqLvvvjs+r76+Pv73DAaD8fl33XWXAtRdd90VnxcMBuNt6+vr4/PvvvtuBag777wz5fXsdrsC1OHDh+PzfvrTnypA3XzzzSltc3JyFKB27twZn/fggw8qQH3sYx9LaTt8+HAFqA0bNsTnPfbYYwpQy5YtS2k7YcIEBahVq1bF5z399NMKUEuXLk1pO3v2bAWoV199NT7vxRdfVIBasGBBStvFixcrQD333HPxeStWrFCAmjZtWkrbCy64QAHqySefjM979913FaDKyspS2l511VUKUI888kh83ubNmxWgCgsL4/OCwaA6++yzFaAeeOCB+Px9+/YpQGVkZKSs9/bbb1eA+uEPfxifV1VVFf97Jvvyl7+sAPXtb387Pq+lpSXetqWlJT7/29/+tgLUl7/85ZR1DLbviGSD9Tvi7r9tVllzL9PrOPOT6vr/XaOUSvM7ovJNpTb/WAW3PZL4jviGV6m7s5W6O0fd/fmP6O+IT98Yf34wGFQ2m6333xFbP1Tq8ItKHXpBPfjAffIdoTr/jlBKqeuvv16+I1TffUf85S9/UYBatGhRStvB+h2hlBxHxAy274if/exn8eNg+Y5I6JPjiGCjWjBnqv6OePy7Sh3+h1KNO9Srr7zcN98R763W3xHD8pXylcfnn5TviHBAqaq3Vf3mP3b/HXHp+OjxQrYK/oe3w3HE1u9OVwuXnKkAlTX3MlX2jRdV2TdeVLO/+7wyTH0c8dTL/1Q//N0z6jcrd6k5H/u8AlTmjPPjbcu+8aIyXJkKUF+444b46z14qVt/7lPKUtrasgoUoL728PPqw0P1KhKxEt8RFyxS6tALejr4opowIl9/R9yaEV/v0x/z6O+IMptSd+co9fjFSq2/X82eNlZ/R/z5Z0qVv6bUoRfUi49/V39HzJ6sVMsBpSJhpSJBtXjhPP0d8b/f1q91+O9qxfMPyXFE1GD6jli0aFH8O1ipgXsc8YMf/EABqrGxUfVEMt+EEEIMWe2LLSwen+ZYI8rSY7uEW8BV1nH56PnQFL36aE+zi013mneB1wnuIt0tRAghhBgoHNmJAfXtWaAiOiOufkvfvF7LXn1rmLoowslkc+oulT6VmFe7Horn6660MdOuhusvguXfhYptHVYz1TzEJbZdrAXmmTsxjHL2q1IagnZia/7a38uxewth5w4aa3zdbtbttn90mLdHDSd1oA295j+uPchf979NYZaLonI9DlzYngsFp0PTVj2WmyN6jDPnWvC9Dv6GdmtXsG+Nnpp0Fh6hFj1chz1LF3UAvS/UfwiNW3XxBTNaSMo7XhftCNTo7qmgx7xt2qnbSZVUMQAZSqVTP1o0NTWRk5PD0aNHKSkpGfBpnrFupy+99BLLli0jHA4PyDRP6S4ytLqLhEIhnn/+eS688ELpdirdToHj+46obg5w2o/+hQonup0+98Wl6XU7jdTjrF4OviMocyS+P3xJt3Wg2174NYKlMwh5Z2DPLov/7UOhEM8++ywXX3xx+t1OfeV42rZg2uxQfDYh3PId0c3fXrqL9O13RFtbGy+88AKXXnop2dmJgcAH43dEd23lOGLgf0cYhsHy5ctZtmwZNptNviOiTspxRLAKmrYSCbTgD4QwXbl4SuaBq+D4//Yte4nUbsQfDGMUn0VGzrCu29LH3xHV26FxKxluB4YjC/LnE8ST+h1hRVAbn8b36r3QcCBxHAEEI4pQBOwmuOwGb0em86fIebzsn0kIO4bDiREdF01FQqhIBMO0Ydj1e/M6Ioxyt/G91h9zumMPZnS9oYjiE75vss6YimFPVE23Qn5QYNgdGKYtut4wKhLG4bCxaGIp504u4vwxYYqD21GRAG6XA5vhgO1vE177BIG2ZkwDPI5Et+62kMJS4C4ejW3GhTB+MWHDQSBiw7R58LgsiFaEbWsLYDlyceWNx+4dDZafSNNe/HV7MVSIDE/0f8BVQJtRiOUahsuTKccRA/A7IhKJsGLFCpYtW4bD4RiwxxFtbW0UFRXR2NiYclzUGQm+pSkWfEvnQx0oQqFQPPiWPG6LEP2V7LPiRHrhw6N86U8b4o+zXHY++N6F2G1pDPDbuB3KXwEM2L4JPvhLYllGHnziAXDlQvE5etDqqF7vw5EgVK3UB6XZk3ShBSFOIfkeFoOF7MunmLJ0hlrzLl0cAXSWWs60RJZcbzXvThRZyJ6sfzdPtWA91K3XRQcMU7+/zDEpxwYARELw4Z/g7V9C7a5uV1mjsvlr5GyeipzLflWasqzQHeK2KZVcNcVB6bhzMJ7/HOx9J6XN3mHn8NLor1IZKqCiyc+uymb213afOdfeuMIMzh3n5PwRTSwoCeO0AREF296CDU9BoKnrJzszYcKZMPV8yBuhCzPYPbqAhtUGsfCEaQfPCMgcrbMn28p1ZdRAUq8FwwRPqa467yqUIg0DyGD5Du5NnEi6nQohhBiS1rTrcrpwbH56gTeIdoNoAGcJbHslddmks/UBo3dSx4Pr3mrcogNvDi94Jx7fuoQQQoj+wjDBO0F3IWzaAb6D0FahK156SiGjTGfCpfM7akV0EK85GrTqL4E3AGceFC+Fug36vTVs1rd5c3Sl9BibA+bdBHNugJ0vw5qH4MCqTldZaDRxh/1F7rC/yLtqKmsyzuZI/jwWlGVy5TQvbmeRrpC+/DsdAm9kFTDustv5wsgzU6qmN7aF+PBQA2/srGbF9ir21rR2+7b21vjYW+Pjd0CW087Zoy3OGW1xztizKZ5+LuxZD+v/CM1HOz452ApbX9XT8Bkw5Rwom68/A5sLsIEK6qBs6wE9ObJ0IC5vFmBC2xFdTTfUAr4jejIdet/xlEogTvRLEnwTQggxJK3eU5vyeNH4gi5atmNFwHdYj1NydDcEmpMWGjD5HB0s8ww/vg30V+nXAcibLQeRQgghBh+bSwdUssbqcb/8VeA7qid7BriLwVWkA3HJY6YpC8I+/TvZegCsaMXB7CmQ3c8uVpkOKDwdWvZH32M1VK6E3Bk6YyulrQlTLtNT9U54/wnY8GQnY6pppxvbOL1tG1S5wT4dWofr44Xdq6Al9TgHhwcu/gaUnpMSeAPI8Tg4e1IRZ08q4ruXT2NfTSuvb69ixfYq1u6rJRTpurNcS9Dipd3w0m59nDKt0GLp6Lmce9Y85oV3Yt/wJ6je0fmTj27Wk8sL48+ACUugaJwOupouIKJ7AYRaILRDB2qduZAxAgoXQ6RN7wNtR/XFytaDejIdOpPSM1wCcaLfkOCbEEKIIedwvY8D7bpYpF1sIVgPwTp9YLfrtdRlI6aDt0hfdT+erLeIX18lB8gap6+cCyGEEIOVwwuFCyHYqLPgfId1cK1lv54ADFs0MwoddEkePcnuAe9kyBx1src8fVljdCCofoPOnq/boN9n7iwdaGyvaBJc/CM477uw7e/w3m/g0HudrzvkhwPr9dQZwwYXfBnGX5ZW4aaxhZnctmQsty0ZS7M/xNu7a3htWxUrdlRT0xLo9rlbawy21sDD74PXOZGlo77LJ2bv5/SmFTj3vQ50EsgLNMPW5XrKHQkTF+uuqZnR7EcD/fdWlv7sgg06kOkq1Blx3kkQbtZBuLbyaCDukJ4Mmw7iuofpyebs+PpCnAQSfBNCCDHktM96y8twMKUkzSqiwVp90NfSBuXtKrVNPV+PS+I+jupqSunxYaygXlfO1GNflxBCCDGQOHPAOROyp0GgWk/+al3pUkV0QC7GsOksqKyx+nf3eId6OBkcWVB0ph7vrmlHIgvOO1FX+OwsQ8vhhlkf11P1Tnj317DpafA3d2zblbNugxk3dMy0S4PX7eCSGaVcMqMUy1JsOtLI69ureH17FZuONHb73OagwYt7DF7cMw6DsVxQ9BE+413D3LpXsPtrO39Sw2F472k9lUyBMQtg7Gk6EAe6S60KAwao6P5hmNFAXClkTdTV6P3luitzxK8Dcm3l+vmufHAVRyvI5wyM/UYMChJ8E0IIMeSs6aTLqWmmefDlO6qvuO/flDrfkw2j5x5/1lvTDgjU6S4hBQukq4QQQoihx7RFuw1GL2ZZEbD88aqY2DNSx0wbSGLj3XlKof5DCNRC03Y9hlnuDJ2l1ZWiSXDZ/XDRvYQ3/YXGFb8gv3kPRmfZZAAFY2DBtTDvjng12U6FW3VAMOIH06m7fDrz9LYkHdOYpsHsUbnMHpXL/7twElVNflbsqGLljmpW7aqhORDu8iUUBsur81lefRlOLuJazzpu9bzJeN+HXW9XxXY9vfNkIhA3ZgFkFYIV0BdDVUT3RrDCutsy6ACbuwSKFkfnV+hAXKhJH2MF6vRnbjp0EM5VpIN3nWUgCnGCSPBNCCHEkKKUYnW7YguL0u1yqixo3QfhEOx7P3XZpHPAXZA4UTgWLfsSA0bnzj72im9CCCHEYGLawMwcXL+L9kwdHPId1l0ow61Qs1YHyXKmdj/khMONmvkJVh3KZtmZ03HsfhEqN0PtHgi0QP4omHYJjJivx8Hr6nMLt0LTTl3AQHUSwLNn6u6yGaM7jBMHUJzt5rrTRnPdaaMJRSzeP1DPyp3VrNxRzbbyriueBnHwZNsinmxbxEijio/bVvEJ19sMi5R3/Z6TA3EFY2HULH3Rs2icDsT5KwELMPQYcf5a/bk6vDoQlzcbDCcEqqJZlTU6iy42xmDs/caCcc78U9NFVVk6my9Yq4OE4VYdJLS5wJah9wtXPti9krU3wEjwTQghxJCy5WgTlU2p45WcmW6xhWA9BOrh6D5drSvO0NW6sqcc20ZZYWjYqKt1gR7nLeM4CzYIIYQQov/LGKmDQ8079UW4QC1UrdIX87Kn9DxGW04ZnPEVfV9ZOlhj83QaLEvhr4G69/QxCETHRCvWw15E2nQ3zXArNGzRAbqs8ToQl1z4IonDZrJwXAELxxXwjUumUNnkZ+UO3T111a4aWoORTp93WBXzQPijPBD+CAuMHVxje4vL7Wvx4uu0PQC1+/T0wd/Akwej5+hxd4dPB6dLH6/5KwClA2q+I/rW5tHBNU8p5MyEiE8H4QLV+jnhVmhpTYwz6PDqIJwrX9/2dWacvxoaNuntSGYFo/PqEsW4TEfqtjlzpbdEPyfBNyGEEEPKy5tTr6qOzs9gbGGaV9L91brLwoF2Y72NmAEFk7vvKtKVUAvUrYNQs76CmTNNB9+EEEIIMTSYdv37nzlWB+F8h3Q3ybYKHZzLnpRe1p9hplVQgbYKPb6ssnTwJmeGHm8vWc4MvR0te6MZctuhZY8+Rska22UQLmZYUlZcIBzhvX31uoLqjir21bR28gyDdWoK68JTuDt8C2eam7nc9g4XmuvJNroJxLXVw44VesKA4okwfKoOxBWP1QE2f6U+frO5dcaYPVMH0lzF4BkWzQ706oJasWBcqEUfm4WadUVd0M+PB7vy9Wd9IgJeET80bE6MS2dz6WCoM1/fV+hx7sLNOhsuWK+z9vyV0Yw/9HY4c6PblaPvSzfafkWCb0IIIYYMpRQvb6pImXfpjBKMdNP2W/dCUzXUHEqdP+U8PdZbb/mOQsOH+qqzzQ358/VBnRBCCCGGHrtHd4/MGq+DXW3lOtOp7YjOjvOOP/4K6K2H9LGHUjoDLH9e5wEk06Yz3TLLdBXR5p06INW0IxGEyxybVtdMl93GkomFLJlYyPeumMa+mlYdiNtexdp9tYQiqV1egzhYYc1lhTUXJyGWmJu4zLaW8833yTU6C9zFKKjaqacP/gZ2NwybAsMm6EBcfjEQ0MUYwr5oBV0P2LN0kauMEbqLbd5cMD0Qila4D9RBqFEHyZK7qRqmfp4zNyng1YvuoMqKFt/YqceuMwxwFuqAW6hZZ+ypaMagYdPHio5svX8YZjQg16qzJa1gYjy7+N/QGQ3IJW3fQB0rcRCQ4NtQFW6Fthocqkn/Y5tZ+uqF9BsXQgxiOytb2NvuauslM9Ico01ZuhvC/s2p8z3ZMPF83Y0hXcrS3Tha9urHrgIdeLO50l+HEEIIIQYnR5YuuhRs1EE4f1WiYqczTwfhbGkOmZGseY8eBw0gczTkzur5/M8wdFDKM1y/fvNOff7YtBOad+tlmWN0YCdNYwszuW3JWG5bMpaWQJhVu2pYsb2KlTurOgwNEsTB69Y8XrfmYSPCPGMX59ve5wLzfSaYR7t/obAfjnygJ9ABq6KJunhD4WjIzwebpcdX81fo94ahM+McWeAu1e/POw6cxRBujGaeJWWfBRv0FP+8bO0Ccjk6uJcc4Ay16NfzHdL3QR8Dmg4d6Ay36PaGTWdFmu5otd/WaPfTpF4cNle0y6lDt1ERPQZeuFkH5PxViUIUkAjgxSdvx+0TfUKCb0OVvxqjfgP5ke0Y1Vlgs+sv1lh1G5ur3f3oY5tT/2ObTgnWCSEGnPZdTktz3MwemZvek0ONupvGwe2p8ycthbwZaW+DqYIYte9AJDoQsXeC7u4g36dCCCGESObMgcKFOtjVskdnQgXroXYdBk4yrAodYKH7LqAANG5PFHXyjtfdXHvDMPR4tJ7SaKBqlw4Oth7SkzNPZ8p5hvcqkJPlsnPJjBIumVGCUortFc2s3FHNyh1VrD9QT9hKZMVFsPGemsJ74Sn8mOspMyo439zA2eZGFprb8BjB7l9MWVC1Q08xuaN0QC5/OGRnQ5ZXj3kXbtHHffUbdDvToYcXcZfqzyB3hj4vtkIQbtIBuFCj7s0QrNdT8mdnOKKfi0pU7YVoxpupu7YG63QwzlkQzaJzguFCBwS9OpPPsOmsxUiLDsRFAhBJCq6BXp8tQz9PWdGAXFDfRvx6Sg7IGWY0+8+bCMrZs3RWoByfnjASfBuqTCc484kYnmh/fRX9Jw7oKZTuehzRydn1rRFrY4/et4Nhl39kIcRJ98rm1C6nF08vwTTT7XJ6AA5uhVDqFVlmXaMz19IRqKUgsgWCdnC4dbeG46mOKoQQQojBz+GFvDmQPVUXZWjdDyEfXusgRuW/IGuUDnq5inR30WTBep2lFgu25EzVF/6OlWHo4JOnVK+7Zb/O1grWQ109mFui3TdH9iobTq/aYGppNlNLs/ncOeNp9od4e3dNvItqdUtqcO2AKuHRyKU8GrkUJyHmmztZYm5iibmZmcY+TKOTCq7tNRzSUxKVNwajeDzkFoM3Gzx2HTnxHUkUxwIdnHJ49XGguwRcpWCa0WBXKJqB1qrvq+RtV/q8GCua1XhEt3FGx9+LHRtGAjoYZ3PoAF+4KfE3cGRDxqjoebWpg2uhRt0+liXXgdJdVQGsCBDRwULDpl8/1AQkvT/DjI6PlxUNzmUl7vdU0EN0IJ/YUJUxHOUoosbWgCq5GOy2aGWbgP6SSL4fiT62AtEvkegESfe7GQSzK6Y9mj3Xw22HoF00/dawSRBPCJG2fTWtbK9oTpm3bGZp+ito3g372xdamAkjl6b9fKNuMyYhfcBUfEZ6gycLIYQQQoDukZQzBbwTUU37CBvbdGZTLChkmDoQZLr0/dh4YKDPmXJn6jHcThRnHuTnQWQatB7UQcGIXwcIW/bp45yMkXo6hsH/vW4Hl8wo5ZIZpViWYsvRJl7fXsXr2yvYeLiJ5NBaEAdrrOmssabzX0AOLSwwd3CauYPTze3MMPbhNDqvuNqeUb8f6venzKu1FVHhHEWtazhN7iJaPfkE3Zm4nYoMeyUZ9nIyHIpMlwuP202m202Wx0NmhhfDlkG0aoIOfkUCEKrRmXWhJv05ukZAXR1sfhkqNkFrDfgbop9zJmQVQWYB5AzTU94IyB0B7miBDdOhg52ZY/R+YtgAS2dNhqPFI6ykN2SLhoJsRLenKVr5Npopp6zo+bozaXIA0XNvm0tn19kzOrmVjLnOSPBtiNpV2YzXlZQObJi6/3e6AzAqS/9zWsHoFIqmsoYgEr1Nnm+FoxH/sH4uROeFj//NGGY0UJcUkEsJztm6X9YhmBedJ18YQgwq7bucFma5mF+W5qDFSsHR96C23dgiM6/quUCCFYL6D/QBFgq/UYgqPFN3HRBCCCGE6C3TBpll1Nqmo4rOhGCF7goabtOV2ZMZhg5+ZU3QmUt9weaC7Ik6oy5QHS0SURGtkrpDT848ndHlLjmm7TBNg5kjc5g5MocvXzCRmpYAK3dUs2J7JW/urKY5kBpYaySL16z5vGbNB8BNgDnmHhYYOhg3z9xFluFP+/ULItUUtFVD2/vxeSFlY58qYacaxUZVyl6rlH2qlL0qlxZ0sNFuBMl2+slxWWQ7LXKcEXIcfnKcFvnuIuZbdcxoeZX86nUYVhfdz4KtUNcKdfuhXc0vPLmQOzwRjMsdroNzGXn63N6Zo7uxZo7VQVlUtFttq64EG/bp++3HHVYqmpDTprPpIm06GUeFATOaJONK6vUWS6CJ9nrrKijXm5jDICPBtyFIKcW//3UjOyubWVRockZrkGG5aYwTkMww9fhvaVS36cCKRINw4UTmnEoKziUH6jpbpmLPj17rUJZO47V66OPfW/GgXvugXLrzugrqSWBPiJNJKcVf1x/m4RV7UuZfPH0YtnS7nAZqYNc7qfM8OTD7lu6fF2qC2nX6oMYwUTkzabRFB9AVQgghhDhejhzIKARm6OOOQF0ic8kwdXdUu+fkbIthRMdFK9bnbf4KHYgL1CTGQWvcpjPi3MN0MM6Zf0znRoVZLj42fyQfmz+SUMRi3f56Vu6o4p29NWw52kTYSm3vx8U71jTeYRpEwEaEycYhZpr7mGXsZaa5lynGwbSz4wAcRoRJxhEmJXfVjKpWOeyNBuT2hkupCeUQxEEEk9HGUaaZ+znD3EaB0dzJmnuhrUFP5VtT59uckF0M2cMgu0QH5LJLIKcUckcnqqBmjNY9MgwzEYyL+HQg14qODxdp07ex828rnNRDLlrcIeJP9JhDJfVicyQF5aLzcmdC9pzje98DkATfhqCVO6v54FADAK8dNTn3/re4efEYrl0witH5GemfjB4r04bObz3Oqn6x7Lt4MC7aZ111M6/D/aR2sXnJ61fB1PTcE6W74Fyn85If27ufJ4SI21vdwg//sY3Xt1d1WHbpjF50Oa1ZDwe3pc6beil4uqlw6jsM9Rv1d4vdA/kLwMgEtnT9HCGEEEKIYxUbLL8/MO2JLqcRP/grdTZcoEZflGzZqyfTDq5C3V3WVaTHUOslh81k0fgCFo3XY/D6gmE+PNTIwbpWKhuaqWxoosnXhs8fwBeM4AuBL2zSGCrj1VAZz4fOJRAEJ6F4QG6msZdZ5l4mGYdx9CIgF1NkNFJkNLLQ3N5z474QCUL9YT21Z9p0F9asAsgq1FN2CeSMgryxkDdeB1DtWTpLzTCimXCBRMGGWEAu0pY6XFUkEO0NF21rxQJ0rYlec5ljTvrH0R9I8G2IUUrxi+U7U+b5ghEeXrmHh1fuwe0wGVuYRV6Gg0yXnSyXnUyXjUyXnUynHY/Dhttpw+PQk9thdjIveus0cdpMjL7K8opl351oVqTzoFyX83rRNiY+/wRn60EaQb3OuuOmM0/KT4uB43C9j//+1y6eef8wVidj7S6ZUBg/QOtRqAU2/r5joYWFn++8vbKgYbMu0AD64CVvrv6+CqVbzUYIIYQQYpCwufVYc5ll+rwoUK0Dcf4qfT7UVhEdngPd/dFVqDPinHnRrKzenU9mOO0pwbgU4TZdVTRQk6guiiJsQUvQRnNwDE3BsTRHLudoJJOdIRtmUzmehn1kNe0iv2U3RW17KAhXHv/n0k5A2VltTedf1nz2qOHUKS9B7BTTQIlRxxijkonmYSYYRxhnlOMyjnEIJysCzVV66oonJxGYyyoGbwlkj4DskZBTBrnjIHtMx79NrLtq+7Hj41lyfsgcdWzbPcBJ8G2IaQtFmFDsZdORxk5PSP0hi23lTSfs9UyDeEDO7bDhcSYF7Zx2irJclOa4GZbjpjTbTUmOm2HZbgoynelXIDzR4pl5Jziwp1Q0m659Zl67QJ0KdxIA7Gleu8BepPdXZ3pkGD0E6noZ1EsuoCHdcMUJUtXk539W7OaP7x4kFOm8wtVH547g7iunp5/lW/k67Hk/dd6o+TBsVse24TaoW6fLzQNkTwbvRNnHhRBCCCFAnwPEqqUqFe0qW62DYYE6HaRJripq2KJdJPOiU+7xjRlm94B9hK7ICnp4o2AD9mADuaEGcoP1ehtojU5Rxjiwz9TBQHs2WCbUH4Ha3VCzK3HbcCAxxnma1jOVp0Jn8VJkIa107CK8n1Li1SWip3k2IpQZlUw0jjDBOMIk8zATjSOMMSrIMAId1tFrbY16qt7TdRubQ48tl1kIWcN0gC6rBLzD9W1mkV6WWQiZuanHw0PwgrQE34aYDKedn8+t4icH/53D4Wx2tmZQpXKpUnlUkUuVyqVa6dsacohwfN0YLQWtwQitwd4Fgxw2g2KvOx6YK8mO3o8G6Eqj8+y2AZSNFQteHedn2imlesjC6yrYl848K+k1wkAYOAFf6MlSKtk6UoNz8WV2sBRuqxrayiHi6bwSrgQ5hqTD9T6eWL2f379zAH+o8wOeIq+Lez8ykwunDUt/xb5y2L+8Y6GF0z7dsa2/Cure1wdxpgPy54O7m26pQgghhBBDmWFECwLk6GINytLjwgVqdVZasEEfVwVqE1VbQQ/w78jWz4t1tbVnHVtPHdOhj9eSj9ki/ugYdQ16CjXpDK5QSzRTLnpc6ACGD4eyKfr1HVlgOKG5Rnf3rN2tp7q9EGiCcFAH9rJKoHQWlMyCMWcyP38cE/0hbqnzcaimhUN1TRys83Go3s/Bej+HGwIEw6kXlSPY2KuGs1cN55+cFg/KgaKYBsYYFYwxKxhjVDLGqGCsUUGZUXliAnPxjQglZdBt7bapMmxEPPmQUYDNOwxzwoXA6BO3LQOABN+GosbD2FuOMIYjjOkmDmQpg1q81ESDcdXkUqu81CsvtWRTr7zUKS916NsmMoETE/gIRRRHGto40tDWZRubaVCS7WZknocReR5G5mUwMtcTf1zsdeNxntwx0CKWIhi2CIQjBMIWgVDS/aT5wdjjUGJZZ88LJj0PwMDANMEwDEzDwEBnF5qGAdHb2GPD0O2cNpMir4uiLBdFXg9FXhfFXhf5Wc70gpfxwN5xdrntdF5S5Vt6Tps2ImFyrH0Y9esT5bE7NIoF8HoI5LWf1z6QZ8rX44liWYpgxNJT2CIcUVgqOlkk7ivdNd5S+n/JUgqlIBiJEAhZ+MMR/NH/DX9I///4wxYfHmrgn1sqOs3mBZ19e8uZY7jj7PHkZPSiuIyy4NCLsPbFdivMg2nXJLVT0LxLV/ICfUU2f8HJG9xYCCGEEGIwMMzo2G/R7qJKQbglUawh2KAH97eC0Uy5mqTnGrqapj0rEQiL3W9fybMnNnciOy8m4tdBuOQp3NJ5cBAg2wb5c2HaWWD36m0zkwoWxhIdIj6o30h2uIXpRivT8/2Qn7oqS0FVKxxqsXOwxcmhZjsHmwwON1ocbAhR0ZQ8lJFBFXlUqTzejUxt98YURTQwwqhlhFHDCKOa4dH7I40aRhg1ZBu+3n1WaTJUBLuvGnzVULOd9xpzoEyCb2Kwa0mvf7ppKIpooshoYioHe2wfVib10UBcncqmgUyaVCZNZNCkMmhMetyoMmkikyaVQRMZtOGit4G7iJUUoNvXeZsMp438TCcFmU4KslzkehwYhhE9wY+e7EP0JF8HAhSpQYDYbShipQTDYkGyYCQRRAt3dfbfDxkGFGQ6KfK648G54uxYkM4VD9IVeV1kuewYfRGMihfNiFW/TapsG69um7hVIT9BI1ePAWFCSiXcePXb4+t2aykIWxBWBiHLRlDZCVp2QspGMPo4ZJkELRshyySkTAKWDUuZqGhmozJsurKlYUNF92ulUvcNpfS+FrufcpvUPv6s+DKV0q7LdSW9UHI7/R4V4YgOiIUiOhgWigbHEo/1/0jEUkSUwrJUNCBGfH7sfyLY/rbd/VP1f+G0mXzqjNHcec4EirzHUOClbgO8+RtorkudP+8msEcPnCJBqN+gs94AssZAznQZI1EIIYQQ4ngZhi7A4PBCZjRQoywINUOoMRoEi95aYV2pM+wD2o1lZtp1hVWbB2wZ+gKpLSP62JPeOOI2t57cxYl5sW0JtyRuwy26uICKJIJ0vWVGEwL0CQ9mJEBJVoSSrDCndZKw4A/DkVY7h1rcHGqxc6jJ4GCjxcGGMIfqgzQHYudGBtXkUa3y+EBN6PSlvfgYHg3EjTBqKDHqKKaBYUY9RYa+zTdaev+e2gk483tuNMhI8G0oaq7ok9XaDYsidFWX3gphp5kMGi0djGtVblrx0IqLVuWhFXd0njvlvg83LcqDDxct0XY+3FjoE19fMIIv2Mbh+q4z6IYqpaCmJUhNS5Bt5d23dTtMcj1OvG472R6HvnXrW6/bQbYnehudn3jswGU3E8GbaNAmlu0Um6+DPopQBIJhG8GIQTBsIxRxJAV4FG2BEJsrJvPBlhIUJhHLIhQNCgXDEYKhMKFIRN+PTzpYqtejkgJFSj+2FOEIRKJBt9Q4kQUEo5MYKGymwbULRvLF8yYyPPcYs898h+HN++DIrtT5BeNg6Tf0/WCDHt8t3KYzLfNm6YpeQgghhBCibxhmoqtqskggEfwKtSQFwnw6MBdsBLo4TzVsYM/QwTXTpTPlYvfN6H2bSwfF0tkWpXRGW/J2xCt/BoGksbTtGWDLTMrUy+z4OqDfQ6RNB/ZSphbc+BmfE2Z8TsegmFLQGIhmzTU7OdRs42CTwaEmRXlThJagRWvQojUQxlLQTAY71Gh2qK6z0hyEKYoG5IqNhnhQrpgGCoxGCoxmCmgk32gmy/B3uo6IJ83CZ4OIBN+GokWfhxEziFRvpHzPVobnZmC2NUFbA/ga9MCKvRwk8ng5CJNPE/nmiSn24FMu/Dhow4VfOQngpA0nfuXEjxM/DvzRZf4Oy6JTu2UBHARxEMROUCXuB6K3isGb6eIPWVSE/FScuFocx8EGB3ef6o0Q/VCG08bH54/k35aMpawg89hXFGyAVT+CD/+VOt+ZCZ94St+2HtAVTZWlD5IKFujxRoQQQgghxMlniwbNXO2COspKBKoibdEAli9xPxKIZqk166k7hqm7jpqO6ORMepx0azh0Np0jG1z50UDbcZ4rmnYwo1mA7VkRHewLt0ZvffH3aUTayHWHyHWHmVnY9TA/SoHfstMSceOznPgjDtosB20RO/6IPXpr0hY2aAuDP6SHgWkLRWgLRdgXjLA1FMEffdwWsvAHI1ghH85APa5ALdlWI/k0UWA0Mb1oAcYQK7ogwbehqHAiFE7ECgbZ0PY8wy5cimmEk/5JW3XX1OZyaK3VwThfvZ78TdGpGfwtEPDpgRb7mQwjQAYBoOVEDUPXo5Cy6cBcSoAu9thB2IhOpoOI4SRiOrFMR3RyomwulM2JsjkxbI7oFL1vd6BMBxHDTgQ7EcNGGIe+NeyEsRHBQdiwEcYenWxEDBvNIZNqn0VFS5jy5giVrWEsJUUJRP9mxscwNHDYjHjFZJfdxBWtmOyym7gdNjKddhaMyeOa+SPJdvdiTLfOhFrgjbth9R/bLTDgIw9BwQTdHdV3WM/2lEDenM6vUAohhBBCiFPLMBNdVztjRcDyRzPkAjoYF8tSiwT0skggOtSNpZdFOs/m6nE74uNMx4JxZnS+GS3MZyTut1/evq1hksigiy43nTpLz1WY2l6ppPfkTwo8tsXfj4GFxxbGY0ujS2k8COmMZgTGgpCZOuhotp8cKAz8IYvGthCNbSFyXAZr33yt95/jACbBt6HMMLAMlx4/y9HuxDFW7MUKJV0d8Hf+RRRsgnjmXD201YO/UQfngq0Q9OkgXagNggEIRafw4OrK5zAiOIiQGasE2lV8K5ZUeOzDkh0fFyjTgTLtRAwd0AtjI4wezywQHcOsLWISUHp+KHobxk4IW7x9OLacWNDPTLRTNiLxZbF2diKY0fXFXtdMrFclrTvaPrb+SMprpU4nLcKKrsTrsJk4bCZOu4kzemtGC1zEtiRWdNXA6FCA1YjOMJLbJbWPPU48TQEKAwVK3xpG4n58WfQ21i7xvOT16/t2E5wmOGz6viN6P3ZrN8A0wWaAzQTTMDFNGzabiWnasZkmDrsNp92emBwOPUXvOxxOXHYHTqcj/jk57SYO08Q0E8E1w9BdRWMFQ4xTVbG29Qi89m14//mOy5Z8ASZeCNWr9NgdhgHZU8E7/qRvphBCCCGEOEFMmw4a2XvoNaGsaJZcSI/5awUT91VIP7Y6uY31KFMWqOjzTrXkAJ5h6nHvlJU0nnYk+t5iY3OHEmNzo9BBP4ieWaTex4ieeCSf5BgYhg2P6cJjOijJnkIoc9IpeOOnlgTfRPdiKbXddadSKvrlEoukx64WBDtO4TadCmuFIOyHQHN0aoJAq56CrTo4FwlBKJh6Gw5CKBS9H5uC+oqFSJthhTCsECZtdJmvk/Sd2d9FsBEx7FiGDcuwY5l2lGFHJd9GA46YdohmFmLa9a3NoQtKxDMO7WA6MO0OTLsT0+7AZos+jrbXqd8OXXXVTJ5nj96PLetqeVI7097Jek5QpV5lRQ8AQtEfznZTbF7sx7b9snihiAjHHDEOm2A5IGxPStN3RKvLdvc42r6vixdYIdj1HPzzHqg70nH5ghvgtJug6k194GFzQf78jt0ahBBCCCHE4GSY0Ur2Hro+geqEsnQwy0oKYikLsKLLku9HOpnXbjkqzbZJbTrdpm6GmYqNR9fZIXj8vSQVvkt5b0nnFCoc3eZ2HDkgwTchjoFhJPrYpzPmkbISwbhIcnAuOQAQjAbyfElZd7FU4Ng/cixIENHrCQcTwbhwUEfqI5HobSjpftJktXsciUTX1/650VsJ8vVLNiLYVCRR4nNQ/JmM7oN4nQX7Og3idRUM7KadaUu9H0vDM6JXssykK1lG8q1K3BK9NW16UhbEskJ7/VHYug/SJc8z7DrdPR64s9Mh9VApndHrK4dtT8PWv8PBbZ0fhMz7GMy9DJp36MeufB14s7mP7b0IIYQQQoihI5ZdZjqAYywEdryUSgrMdRG06ywIiOqkfaJ3Taf3Y8+LzVNWNGsuliEYgsyyU/M5nGISfBuqArXQfBCvdQiatoPD1Ul/8s76oif1R4+nlJpJqaVG5/eTT34NM1GqubfDJMX+eZMzeFQk2j02uR97UhfZ+LxYdl4gUWkmngqsenxp/foqOi5A0hQL2FlWx/lK6fnK0uU0VaydldTeavec9utKuh9bFoleRYgvDye1ObnFMkRfUXqfjQSh/w2r2HuGLSmoZ0sK+NkSATrDpvu6mmYi6BfLAjTt0fn2RPv4/B4e2x2AAcFoV/imCmgoh4Yq3SW+K3Mug3lX6/81RzZ4J4BneMdgnhBCCCGEEP2VER0bDhu9PwHvI0Os2AJI8G3oCjVhtO4nwyrHaNmts2D6WkpQLpbDarRbTsf5KcvSaRNdFu+6l5GYrToJssUz8WIBvaTgngqmptEmp9bG5iszOkVAGUA0yyd+JYCOVwD0zNSrBfErBcci2vc+NikVXaUCSyW9RPIVCJV4bCXNj8+zErdWdLti85SVdF91Mj/5NjY/kvpYJQUfVdJrJT+3s7+XGJhUNLgc6QfjXPQkKxcW3wBli8FdrK/OuYtP9VYJIYQQQgghBigJvg1VzlxU1gR85hFU5hidfdJTX3MVSX0MpKSW9hQoSQlG9cN+gYaZ6D57PHrsu9/N4/j9cPTzSp4fSZoXSf08k28VHecnB/w6LEvZ+C7ud9W+m3YdHibN75A5FM2gxIh2XTRTnxINDoYjIQ4dOMCoUaOwK0M3iAfz2gUQreTAX1fBvU6ChfHnJgUG44HDpM/eSp7fLsuxw+N2ryf6J8OEqWfBWV+F7PG6kqlUMRVCCCGEEEIcJwm+DVXOPMjOotncCzkzOlY7PVbxvt499AVPuR9/cifr6mxZ+4BSJ22U6qJrWBfdxToNBvXw3C67np3I53bzvPhnHUkKOrULkMbmGdHusrFlJAWp4gFUK/oRJj3XIClQmNwu6XkpWX3tH5/gzLVImMqKdYwaveDkZGv2leSuwirpfvsp3rU4eXk4sSwSTgQEU7oox8YzjK0jnDo/patyu8eqk+1I7vKc3L05+TXT7brdH+UWw5SLYe6tMGz+qd4aIYQQQgghxCAzgM9eRb8UH+PtVG+I6Bd6DMZaPc9LeqzCQRrMBlTePLDbOwn0Wd28ZnI31s4CwJ09p5P5ye+rs8edvka7x7au2rV/zQEkHsBLCupFOgn8RaLdtzvcRhLdviPhdu2T1xGJFl2Jjn3YITjZxQR67De7E1weyB0BxVOh7GwYdb4u0iCEEEIIIYQQfUCCb0KIvnOig7GhEAEzXw96f6KyNfu7DsFESD8gSPfzUh7T8TWOZ15Pr9/+tXs9r5fbZJhgywB7hi6e4MiVwglCCCGEEEKIk0KCb0II0Z9JNqkQQgghhBBCDGhmz02EEEIIIYQQQgghhBDHQoJvQgghhBBCCCGEEEL0EQm+CSGEEEIIIYQQQgjRRyT4JoQQQgghhBBCCCFEH5HgmxBCCCGEEEIIIYQQfUSCb0IIIYQQQgghhBBC9BEJvgkhhBBCCCGEEEII0UeGVPDtoYceYuzYsbjdbubPn89bb711qjdJCCGEEEIIIYQQQgxiQyb49uc//5mvfOUrfOc732HDhg2cddZZXHrppRw8ePBUb5oQQgghhBBCCCGEGKSGTPDt/vvv57bbbuP2229n6tSp/OIXv2DUqFE8/PDDp3rThBBCCCGEEEIIIcQgZT/VG3AyBINB1q9fzze/+c2U+RdddBGrV6/u9DmBQIBAIBB/3NTUBEAoFCIUCvXdxp5EsfcxWN6PGPxknxUDnezDYqCTfVgMFrIvi4FO9mExkA2W/bc3228opVQfbku/cPToUUaMGMHbb7/N4sWL4/PvvfdennjiCXbs2NHhOffccw/f//73O8z/4x//SEZGRp9urxBCCCGEEEIIIYTov3w+H9dffz2NjY1kZ2d323ZIZL7FGIaR8lgp1WFezLe+9S2++tWvxh83NTUxatQoLrrooh4/1IEiFAqxfPlyLrzwQhwOx6neHCF6JPusGOhkHxYDnezDYrCQfVkMdLIPi4FssOy/sR6S6RgSwbfCwkJsNhsVFRUp86uqqhg2bFinz3G5XLhcrg7zHQ7HgN45OjMY35MY3GSfFQOd7MNioJN9WAwWsi+LgU72YTGQDfT9tzfbPiQKLjidTubPn8/y5ctT5i9fvjylG6oQQgghhBBCCCGEECfSkMh8A/jqV7/KjTfeyIIFC1i0aBGPPPIIBw8e5I477jjVmyaEEEIIIYQQQgghBqkhE3y77rrrqK2t5Qc/+AHl5eXMmDGDl156ibKyslO9aUIIIYQQQgghhBBikBoywTeAO++8kzvvvPNUb4YQQgghhBBCCCGEGCKGVPDteCilgN5Vs+jvQqEQPp+PpqamAT3IoRg6ZJ8VA53sw2Kgk31YDBayL4uBTvZhMZANlv03Fh+KxYu6I8G3NDU3NwMwatSoU7wlQgghhBBCCCGEEKI/aG5uJicnp9s2hkonRCewLIujR4/i9XoxDONUb84J0dTUxKhRozh06BDZ2dmnenOE6JHss2Kgk31YDHSyD4vBQvZlMdDJPiwGssGy/yqlaG5uZvjw4Zim2W1byXxLk2majBw58lRvRp/Izs4e0Du8GHpknxUDnezDYqCTfVgMFrIvi4FO9mExkA2G/benjLeY7kNzQgghhBBCCCGEEEKIYybBNyGEEEIIIYQQQggh+ogE34Ywl8vF3XffjcvlOtWbIkRaZJ8VA53sw2Kgk31YDBayL4uBTvZhMZANxf1XCi4IIYQQQgghhBBCCNFHJPNNCCGEEEIIIYQQQog+IsE3IYQQQgghhBBCCCH6iATfhBBCCCGEEEIIIYToIxJ8E0IIIYQQQgghhBCij0jwrZ+57777OO200/B6vRQXF3P11VezY8eOlDZKKe655x6GDx+Ox+PhnHPOYcuWLfHldXV1fPGLX2Ty5MlkZGQwevRovvSlL9HY2Jiynvr6em688UZycnLIycnhxhtvpKGhocdt3LRpE0uXLsXj8TBixAh+8IMfkFy3o7y8nOuvv57JkydjmiZf+cpXjuszEf3bYNhnV61axZlnnklBQQEej4cpU6bwwAMPHN8HIwaMwbAPr1y5EsMwOkzbt28/vg9HDAiDYR++5ZZbOt2Hp0+ffnwfjhhQBsO+DPA///M/TJ06FY/Hw+TJk/m///u/Y/9QxIDS3/dhv9/PLbfcwsyZM7Hb7Vx99dUd2si53NB1MvffH/3oRyxevJiMjAxyc3PT3sYBHYtQol+5+OKL1WOPPaY2b96sPvjgA3XZZZep0aNHq5aWlnibH//4x8rr9apnnnlGbdq0SV133XWqtLRUNTU1KaWU2rRpk/roRz+qXnjhBbV792712muvqYkTJ6prrrkm5bUuueQSNWPGDLV69Wq1evVqNWPGDHX55Zd3u32NjY1q2LBh6hOf+ITatGmTeuaZZ5TX61U/+9nP4m327dunvvSlL6knnnhCzZkzR335y18+cR+Q6HcGwz77/vvvqz/+8Y9q8+bNat++fer3v/+9ysjIUL/5zW9O4Ccl+qvBsA+vWLFCAWrHjh2qvLw8PoXD4RP4SYn+ajDsww0NDSn77qFDh1R+fr66++67T9wHJfq9wbAvP/TQQ8rr9aqnnnpK7dmzR/3pT39SWVlZ6oUXXjiBn5Tor/r7PtzS0qLuuOMO9cgjj6iLL75YXXXVVR3ayLnc0HUy99/vfe976v7771df/epXVU5OTlrbN9BjERJ86+eqqqoUoN544w2llFKWZamSkhL14x//ON7G7/ernJwc9etf/7rL9Tz99NPK6XSqUCiklFJq69atClDvvPNOvM2aNWsUoLZv397leh566CGVk5Oj/H5/fN59992nhg8frizL6tB+6dKl/WqHF31voO+zMR/5yEfUDTfc0PMbFoPOQNyHY8G3+vr6Y3rPYnAZiPtwe88995wyDEPt378/vTctBqWBuC8vWrRI3XXXXSnP+/KXv6zOPPPMXrxzMVj0t3042c0339xp8C2ZnMsNbX21/yZ77LHH0g6+DfRYhHQ77edi6Zn5+fkA7Nu3j4qKCi666KJ4G5fLxdKlS1m9enW368nOzsZutwOwZs0acnJyWLhwYbzNGWecQU5OTrfrWbNmDUuXLsXlcsXnXXzxxRw9epT9+/cf03sUg8tg2Gc3bNjA6tWrWbp0ac9vWAw6A3kfnjt3LqWlpZx//vmsWLEi/TctBpWBvA/H/O53v+OCCy6grKys5zcsBq2BuC8HAgHcbnfK8zweD++++y6hUCjNdy4Gi/62DwvRG321/x6rgR6LkOBbP6aU4qtf/SpLlixhxowZAFRUVAAwbNiwlLbDhg2LL2uvtraW//zP/+Szn/1sfF5FRQXFxcUd2hYXF3e5ntjzOnvt5G0TQ9dA32dHjhyJy+ViwYIFfP7zn+f222/vcr1icBqo+3BpaSmPPPIIzzzzDM8++yyTJ0/m/PPP58033+zpLYtBZqDuw8nKy8t5+eWX5Tt4iBuo+/LFF1/Mb3/7W9avX49SinXr1vHoo48SCoWoqanp6W2LQaQ/7sNCpKsv999jNdBjERJ868e+8IUvsHHjRv70pz91WGYYRspjpVSHeQBNTU1cdtllTJs2jbvvvrvbdbRfz/Tp08nKyiIrK4tLL72029fuan1iaBno++xbb73FunXr+PWvf80vfvGLTt+HGNwG6j48efJkPv3pTzNv3jwWLVrEQw89xGWXXcbPfvazdN62GEQG6j6c7PHHHyc3N7fTgcDF0DFQ9+Xvfve7XHrppZxxxhk4HA6uuuoqbrnlFgBsNltPb1sMIv11HxYiHX29//ZkMMYiji/vT/SZL37xi7zwwgu8+eabjBw5Mj6/pKQE0JHd0tLS+PyqqqoOUeDm5mYuueQSsrKyeO6553A4HCnrqays7PC61dXV8fW89NJL8fR4j8cTf177qHJVVRXQMQIuhpbBsM+OHTsWgJkzZ1JZWck999zDJz/5yV58CmIgGwz7cLIzzjiDJ598suc3LgaNwbAPK6V49NFHufHGG3E6nb37AMSgMZD3ZY/Hw6OPPspvfvMbKisr45nJXq+XwsLCY/tAxIDTX/dhIdLR1/tvOgZjLEIy3/oZpRRf+MIXePbZZ3n99dfjwYCYsWPHUlJSwvLly+PzgsEgb7zxBosXL47Pa2pq4qKLLsLpdPLCCy90GHti0aJFNDY28u6778bnrV27lsbGxvh6ysrKmDBhAhMmTGDEiBHx57355psEg8H481599VWGDx/OmDFjTtjnIAaOwbrPKqUIBAK9/0DEgDNY9+ENGzakHBiJwWsw7cNvvPEGu3fv5rbbbju+D0UMSINpX3Y4HIwcORKbzcZTTz3F5ZdfjmnKqddg19/3YSG6c7L233QMylhE39ZzEL31uc99TuXk5KiVK1eq8vLy+OTz+eJtfvzjH6ucnBz17LPPqk2bNqlPfvKTKeV9m5qa1MKFC9XMmTPV7t27U9YTDofj67nkkkvUrFmz1Jo1a9SaNWvUzJkzeyxP3dDQoIYNG6Y++clPqk2bNqlnn31WZWdnp5T3VUqpDRs2qA0bNqj58+er66+/Xm3YsEFt2bLlBH5Sor8YDPvsgw8+qF544QW1c+dOtXPnTvXoo4+q7Oxs9Z3vfOcEf1qiPxoM+/ADDzygnnvuObVz5061efNm9c1vflMB6plnnjnBn5bojwbDPhxzww03qIULF56gT0YMNINhX96xY4f6/e9/r3bu3KnWrl2rrrvuOpWfn6/27dt3Yj8s0S/1931YKaW2bNmiNmzYoK644gp1zjnnxM/bksm53NB0MvffAwcOqA0bNqjvf//7KisrK77PNTc3d7l9Az0WIcG3fgbodHrsscfibSzLUnfffbcqKSlRLpdLnX322WrTpk3x5StWrOhyPck//LW1tepTn/qU8nq9yuv1qk996lOqvr6+x23cuHGjOuuss5TL5VIlJSXqnnvu6VDat7PXLisrO85PR/RHg2Gf/eUvf6mmT5+uMjIyVHZ2tpo7d6566KGHVCQSOREfkejnBsM+/JOf/ESNHz9eud1ulZeXp5YsWaL+8Y9/nIiPRwwAg2EfVkofVHs8HvXII48c70ciBqjBsC9v3bpVzZkzR3k8HpWdna2uuuoqtX379hPx8YgBYCDsw2VlZZ2uu6f3Iedyg9/J3H9vvvnmTtusWLGi220cyLEIQ6noCHVCCCGEEEIIIYQQQogTSgYeEEIIIYQQQgghhBCij0jwTQghhBBCCCGEEEKIPiLBNyGEEEIIIYQQQggh+ogE34QQQgghhBBCCCGE6CMSfBNCCCGEEEIIIYQQoo9I8E0IIYQQQgghhBBCiD4iwTchhBBCCCGEEEIIIfqIBN+EEEIIIYQQQgghhOgjEnwTQgghhBBCCCGEEKKPSPBNCCGEEGIIuuWWWzAMA8MwcDgcDBs2jAsvvJBHH30Uy7LSXs/jjz9Obm5u322oEEIIIcQAJ8E3IYQQQogh6pJLLqG8vJz9+/fz8ssvc+655/LlL3+Zyy+/nHA4fKo3TwghhBBiUJDgmxBCCCHEEOVyuSgpKWHEiBHMmzePb3/72/ztb3/j5Zdf5vHHHwfg/vvvZ+bMmWRmZjJq1CjuvPNOWlpaAFi5ciW33norjY2N8Sy6e+65B4BgMMjXv/51RowYQWZmJgsXLmTlypWn5o0KIYQQQpxCEnwTQgghhBBx5513HrNnz+bZZ58FwDRNfvnLX7J582aeeOIJXn/9db7+9a8DsHjxYn7xi1+QnZ1NeXk55eXl3HXXXQDceuutvP322zz11FNs3LiRj3/841xyySXs2rXrlL03IYQQQohTwVBKqVO9EUIIIYQQ4uS65ZZbaGho4Pnnn++w7BOf+AQbN25k69atHZb95S9/4XOf+xw1NTWAHvPtK1/5Cg0NDfE2e/bsYeLEiRw+fJjhw4fH519wwQWcfvrp3HvvvSf8/QghhBBC9Ff2U70BQgghhBCif1FKYRgGACtWrODee+9l69atNDU1EQ6H8fv9tLa2kpmZ2enz33//fZRSTJo0KWV+IBCgoKCgz7dfCCGEEKI/keCbEEIIIYRIsW3bNsaOHcuBAwdYtmwZd9xxB//5n/9Jfn4+q1at4rbbbiMUCnX5fMuysNlsrF+/HpvNlrIsKyurrzdfCCGEEKJfkeCbEEIIIYSIe/3119m0aRP/7//9P9atW0c4HObnP/85pqmHCn766adT2judTiKRSMq8uXPnEolEqKqq4qyzzjpp2y6EEEII0R9J8E0IIYQQYogKBAJUVFQQiUSorKzklVde4b777uPyyy/npptuYtOmTYTDYX71q19xxRVX8Pbbb/PrX/86ZR1jxoyhpaWF1157jdmzZ5ORkcGkSZP41Kc+xU033cTPf/5z5s6dS01NDa+//jozZ85k2bJlp+gdCyGEEEKcfFLtVAghhBBiiHrllVcoLS1lzJgxXHLJJaxYsYJf/vKX/O1vf8NmszFnzhzuv/9+fvKTnzBjxgz+8Ic/cN9996WsY/Hixdxxxx1cd911FBUV8dOf/hSAxx57jJtuuomvfe1rTJ48mSuvvJK1a9cyatSoU/FWhRBCCCFOGal2KoQQQgghhBBCCCFEH5HMNyGEEEIIIYQQQggh+ogE34QQQgghhBBCCCGE6CMSfBNCCCGEEEIIIYQQoo9I8E0IIYQQQgghhBBCiD4iwTchhBBCCCGEEEIIIfqIBN+EEEIIIYQQQgghhOgjEnwTQgghhBBCCCGEEKKPSPBNCCGEEEIIIYQQQog+IsE3IYQQQgghhBBCCCH6iATfhBBCCCGEEEIIIYToIxJ8E0IIIYQQQgghhBCij/x/N2sHO/2ife4AAAAASUVORK5CYII=",
+      "text/plain": [
+       "<Figure size 1500x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot for selected year\n",
+    "\n",
+    "selected_year = 2020\n",
+    "\n",
+    "plot_ensemble(\n",
+    "    ensemble_data=ensemble_data,\n",
+    "    plot_start=pd.to_datetime(f\"{selected_year}-01-01\"),\n",
+    "    plot_end=pd.to_datetime(f\"{selected_year}-12-31\"))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "36e717bf-29ca-4307-b698-4af9157fc386",
+   "metadata": {},
+   "source": [
+    "**Figure 17:** Validation results showing observed and ERA5 discharge for 2020. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "id": "ab19e911-4d6f-4e67-a458-dbf7d92f8912",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 640x480 with 0 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1500x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot for selected year\n",
+    "\n",
+    "selected_year = 2021\n",
+    "\n",
+    "plot_ensemble(\n",
+    "    ensemble_data=ensemble_data,\n",
+    "    plot_start=pd.to_datetime(f\"{selected_year}-01-01\"),\n",
+    "    plot_end=pd.to_datetime(f\"{selected_year}-12-31\"))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f84d18e5-59c7-4e91-a72b-269e65718bb5",
+   "metadata": {},
+   "source": [
+    "**Figure 18:** Validation results showing observed and ERA5 discharge for 2021. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "id": "d2b56585-9701-45ef-aa89-aeeda234f566",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 640x480 with 0 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1500x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot for selected year\n",
+    "\n",
+    "selected_year = 2022\n",
+    "\n",
+    "plot_ensemble(\n",
+    "    ensemble_data=ensemble_data,\n",
+    "    plot_start=pd.to_datetime(f\"{selected_year}-01-01\"),\n",
+    "    plot_end=pd.to_datetime(f\"{selected_year}-12-31\"))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "689d5905-1e82-4de6-ad82-36d1a737b3f6",
+   "metadata": {},
+   "source": [
+    "**Figure 19:** Validation results showing observed and ERA5 discharge for 2022. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "id": "e05d111a-b4a1-4034-986b-2d0a7b739cdc",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 640x480 with 0 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1500x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot for selected year\n",
+    "\n",
+    "selected_year = 2023\n",
+    "\n",
+    "plot_ensemble(\n",
+    "    ensemble_data=ensemble_data,\n",
+    "    plot_start=pd.to_datetime(f\"{selected_year}-01-01\"),\n",
+    "    plot_end=pd.to_datetime(f\"{selected_year}-12-31\"))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fc021c83-ee3b-4258-a0ff-3047631a599c",
+   "metadata": {},
+   "source": [
+    "**Figure 20:** Validation results showing observed and ERA5 discharge for 2023. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "id": "ad29be6a-a264-4b97-aff7-60f2203bb5a2",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 640x480 with 0 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1500x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot for selected year\n",
+    "\n",
+    "selected_year = 2024\n",
+    "\n",
+    "plot_ensemble(\n",
+    "    ensemble_data=ensemble_data,\n",
+    "    plot_start=pd.to_datetime(f\"{selected_year}-01-01\"),\n",
+    "    plot_end=pd.to_datetime(f\"{selected_year}-12-31\"))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6c95f4d5-d0ba-4a9b-962e-1ac2bf2e611d",
+   "metadata": {},
+   "source": [
+    "**Figure 21:** Validation results showing observed and ERA5 discharge for 2024. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "bec79310-234d-463b-b5d6-f8108821108a",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Appendix_E_Forcing_data_analysis.ipynb b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Appendix_E_Forcing_data_analysis.ipynb
new file mode 100644
index 00000000..fb038a81
--- /dev/null
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Appendix_E_Forcing_data_analysis.ipynb
@@ -0,0 +1,796 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "3d4c966f-bfaa-480d-8119-39977afb7fb3",
+   "metadata": {},
+   "source": [
+    "# Forcing data analysis\n",
+    "\n",
+    "The CMIP6 forcing data have been plotted to analyse changing trends. This has been done for all forcing inputs: Temperature, precipitation, shortwave radiation and potential evaporation in the LAR basin. \n",
+    "\n",
+    "The structure of the notebook below is as follows:\n",
+    "\n",
+    "##### 1. Startup & Imports\n",
+    "##### 2. Preparing the forcing data\n",
+    "##### 4. 3. Period forcing avg table\n",
+    "##### 4. Yearly forcing avg graph"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f87ddfbc-011a-4fba-8e0c-38e04f89dc13",
+   "metadata": {},
+   "source": [
+    "## 1. Startup & Imports"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "0f1acb46-b1cb-487a-9a0f-fb16148520c3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Imports\n",
+    "\n",
+    "# General python\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\", category=UserWarning)\n",
+    "\n",
+    "import numpy as np\n",
+    "from pathlib import Path\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import xarray as xr\n",
+    "from scipy.interpolate import interp1d\n",
+    "from scipy.stats import linregress\n",
+    "\n",
+    "# Niceties\n",
+    "from rich import print"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "d35ea351-fb1c-468b-a0a5-731e14655f5d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General eWaterCycle\n",
+    "import ewatercycle\n",
+    "import ewatercycle.models\n",
+    "import ewatercycle.forcing"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "8af890d8-47f7-4c5d-8dc4-5ee3aa03a62d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Defining things\n",
+    "\n",
+    "basin_size = 132572\n",
+    "q_critical = 500\n",
+    "\n",
+    "# Define only future scenarios\n",
+    "scenarios = [\"ssp126\", \"ssp245\", \"ssp370\"]\n",
+    "\n",
+    "# Redefine scenarios to include historical\n",
+    "scenarios_new = [\"historical\", \"ssp126\", \"ssp245\", \"ssp370\"]\n",
+    "\n",
+    "# Attach colours to scenarios to make plotting easier \n",
+    "colours = {\"historical\": \"tab:blue\", \"ssp126\": \"green\", \"ssp245\": \"orange\", \"ssp370\": \"red\"}\n",
+    "\n",
+    "# Define periods\n",
+    "periods = [[2025, 2050, 2075],\n",
+    "           [2050, 2075, 2099]]\n",
+    "\n",
+    "hist_periods = ([1989], [2014]) "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "55371032-41c4-4feb-81f1-afe203dcd1a3",
+   "metadata": {},
+   "source": [
+    "## 2. Preparing the forcing data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "2a90d494-1f3e-4941-9775-e25b6786f5ab",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "var_names = {\"evspsblpot\", \"pr\", \"rsds\", \"tas\"}\n",
+    "\n",
+    "forcing_data = {}\n",
+    "annual_avg = []\n",
+    "period_avg = []\n",
+    "\n",
+    "for scenario in scenarios:\n",
+    "\n",
+    "    forcing_data[scenario] = {}\n",
+    "\n",
+    "    for var_name in var_names:\n",
+    "\n",
+    "        merged_data_list = []\n",
+    "\n",
+    "        for i in range(len(periods[0])):\n",
+    "\n",
+    "            start_year = periods[0][i]\n",
+    "            end_year = periods[1][i]\n",
+    "\n",
+    "            # Define file path\n",
+    "            forcing_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / scenario / f\"CMIP6-{start_year}-{end_year}\" / f\"combined_CMIP6_{start_year}_{end_year}_{var_name}.nc\"\n",
+    "            \n",
+    "            # Load file as dataset\n",
+    "            ds = xr.open_dataset(forcing_file)\n",
+    "\n",
+    "            # Load file as array\n",
+    "            da = ds[var_name]\n",
+    "\n",
+    "            # Convert to series \n",
+    "            series = pd.Series(data=da.values.squeeze(),index=pd.to_datetime(da[\"time\"].values).normalize(),name=var_name)\n",
+    "\n",
+    "            # Convert pr and evap from km^2/s to mm^2/day\n",
+    "            if var_name in [\"pr\", \"evspsblpot\"]:\n",
+    "                series = series * 86400\n",
+    "                annual = series.groupby(series.index.year).sum()\n",
+    "\n",
+    "            # Convert temp from Kelvin to Celcius\n",
+    "            elif var_name == \"tas\":\n",
+    "                series = series - 273.15\n",
+    "                annual = series.groupby(series.index.year).mean()\n",
+    "\n",
+    "            elif var_name == \"rsds\":\n",
+    "                annual = series.groupby(series.index.year).mean()\n",
+    "\n",
+    "            # Save for merged time series\n",
+    "            merged_data_list.append(series)\n",
+    "\n",
+    "            # Save annual values\n",
+    "            for year, annual_value in annual.items():\n",
+    "\n",
+    "                annual_avg.append({\n",
+    "                    \"scenario\": scenario,\n",
+    "                    \"period\": f\"{start_year}-{end_year}\",\n",
+    "                    \"year\": year,\n",
+    "                    \"variable\": var_name,\n",
+    "                    \"value\": annual_value})\n",
+    "\n",
+    "            # Save 25 year average\n",
+    "            period_avg.append({\n",
+    "                \"scenario\": scenario,\n",
+    "                \"period\": f\"{start_year}-{end_year}\",\n",
+    "                \"variable\": var_name,\n",
+    "                \"value\": annual.mean()})\n",
+    "\n",
+    "        # Merge periods into one 2025–2099 series\n",
+    "        merged_data = pd.concat(merged_data_list)\n",
+    "        merged_data = merged_data[~merged_data.index.duplicated(keep=\"first\")]\n",
+    "        merged_data = merged_data.sort_index()\n",
+    "\n",
+    "        forcing_data[scenario][var_name] = merged_data\n",
+    "\n",
+    "# Create summary table for annual avg values\n",
+    "annual_table = pd.DataFrame(annual_avg)\n",
+    "\n",
+    "# Create summary table for period avg values\n",
+    "period_table = pd.DataFrame(period_avg).pivot_table(index=[\"scenario\", \"period\"],columns=\"variable\",values=\"value\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "24b4c670-e207-4b8d-9e94-7ccb545d185f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Prepare historical data\n",
+    "\n",
+    "def load_hist(start_year, end_year):\n",
+    "\n",
+    "    forcing_data_hist = {}\n",
+    "    scenario = \"historical\"\n",
+    "    forcing_data_hist[scenario] = {}\n",
+    "    annual_avg = []\n",
+    "\n",
+    "    for var_name in var_names:\n",
+    "\n",
+    "        merged_data_list = []\n",
+    "    \n",
+    "        forcing_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / scenario / f\"CMIP6-{start_year}-{end_year}\" / f\"combined_CMIP6_{start_year}_{end_year}_{var_name}.nc\"\n",
+    "\n",
+    "        # Load file as dataset\n",
+    "        ds = xr.open_dataset(forcing_file)\n",
+    "\n",
+    "        # Load file as array\n",
+    "        da = ds[var_name]\n",
+    "\n",
+    "        # Convert to series \n",
+    "        series = pd.Series(data=da.values.squeeze(),index=pd.to_datetime(da[\"time\"].values).normalize(),name=var_name)\n",
+    "\n",
+    "        # Convert pr and evap from km^2/s to mm^2/day\n",
+    "        if var_name in [\"pr\", \"evspsblpot\"]:\n",
+    "            series = series * 86400\n",
+    "            annual = series.groupby(series.index.year).sum()\n",
+    "\n",
+    "        # Convert temp from Kelvin to Celcius\n",
+    "        elif var_name == \"tas\":\n",
+    "            series = series - 273.15\n",
+    "            annual = series.groupby(series.index.year).mean()\n",
+    "\n",
+    "        elif var_name == \"rsds\":\n",
+    "            annual = series.groupby(series.index.year).mean()\n",
+    "\n",
+    "        # Save for merged time series\n",
+    "        merged_data_list.append(series)\n",
+    "\n",
+    "        # Save annual values\n",
+    "        for year, annual_value in annual.items():\n",
+    "\n",
+    "            annual_avg.append({\n",
+    "                \"scenario\": scenario,\n",
+    "                \"period\": f\"{start_year}-{end_year}\",\n",
+    "                \"year\": year,\n",
+    "                \"variable\": var_name,\n",
+    "                \"value\": annual_value})\n",
+    "\n",
+    "        # Merge period into one series\n",
+    "        merged_data = pd.concat(merged_data_list)\n",
+    "        merged_data = merged_data[~merged_data.index.duplicated(keep=\"first\")]\n",
+    "        merged_data = merged_data.sort_index()\n",
+    "\n",
+    "        forcing_data_hist[scenario][var_name] = merged_data\n",
+    "            \n",
+    "    annual_hist_table = pd.DataFrame(annual_avg)\n",
+    "    \n",
+    "    return annual_hist_table, forcing_data_hist"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "e09d0416-6e0d-4ad4-850a-3f5a2bdcf860",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>scenario</th>\n",
+       "      <th>period</th>\n",
+       "      <th>year</th>\n",
+       "      <th>variable</th>\n",
+       "      <th>value</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>historical</td>\n",
+       "      <td>1989-2014</td>\n",
+       "      <td>1989</td>\n",
+       "      <td>tas</td>\n",
+       "      <td>2.562430</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>historical</td>\n",
+       "      <td>1989-2014</td>\n",
+       "      <td>1990</td>\n",
+       "      <td>tas</td>\n",
+       "      <td>1.319359</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>historical</td>\n",
+       "      <td>1989-2014</td>\n",
+       "      <td>1991</td>\n",
+       "      <td>tas</td>\n",
+       "      <td>1.052132</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>historical</td>\n",
+       "      <td>1989-2014</td>\n",
+       "      <td>1992</td>\n",
+       "      <td>tas</td>\n",
+       "      <td>0.776736</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>historical</td>\n",
+       "      <td>1989-2014</td>\n",
+       "      <td>1993</td>\n",
+       "      <td>tas</td>\n",
+       "      <td>1.499663</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     scenario     period  year variable     value\n",
+       "0  historical  1989-2014  1989      tas  2.562430\n",
+       "1  historical  1989-2014  1990      tas  1.319359\n",
+       "2  historical  1989-2014  1991      tas  1.052132\n",
+       "3  historical  1989-2014  1992      tas  0.776736\n",
+       "4  historical  1989-2014  1993      tas  1.499663"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "annual_hist_table,forcing_data_hist = load_hist(start_year=1989,end_year=2014)\n",
+    "\n",
+    "annual_hist_table.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "956dae57-790b-4a00-a774-0ed954aa711c",
+   "metadata": {},
+   "source": [
+    "## 3. Period forcing avg table"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "5c6faa8a-8fb7-4e20-8330-267ac0fde9a0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def create_period_forcing_table(annual_table):\n",
+    "\n",
+    "    period_forcing_table = (annual_table.groupby([\"scenario\", \"period\", \"variable\"])[\"value\"].mean().reset_index())\n",
+    "\n",
+    "    period_forcing_table = period_forcing_table.pivot_table(index=[\"scenario\", \"period\"], columns=\"variable\", values=\"value\")\n",
+    "\n",
+    "    return period_forcing_table"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e9310e49-7987-4011-93b2-7bfe02c20198",
+   "metadata": {},
+   "source": [
+    "*Table 9: 25 year average forcing data values for future climate scenarios.*"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "7ab38b92-8e8b-4447-a0a1-25fc7e5e8cda",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>variable</th>\n",
+       "      <th>evspsblpot</th>\n",
+       "      <th>pr</th>\n",
+       "      <th>rsds</th>\n",
+       "      <th>tas</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>scenario</th>\n",
+       "      <th>period</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"3\" valign=\"top\">ssp126</th>\n",
+       "      <th>2025-2050</th>\n",
+       "      <td>621.1</td>\n",
+       "      <td>633.9</td>\n",
+       "      <td>138.5</td>\n",
+       "      <td>2.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2050-2075</th>\n",
+       "      <td>625.8</td>\n",
+       "      <td>630.1</td>\n",
+       "      <td>138.7</td>\n",
+       "      <td>3.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2075-2099</th>\n",
+       "      <td>621.5</td>\n",
+       "      <td>645.3</td>\n",
+       "      <td>138.2</td>\n",
+       "      <td>2.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"3\" valign=\"top\">ssp245</th>\n",
+       "      <th>2025-2050</th>\n",
+       "      <td>628.0</td>\n",
+       "      <td>623.0</td>\n",
+       "      <td>139.5</td>\n",
+       "      <td>2.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2050-2075</th>\n",
+       "      <td>632.7</td>\n",
+       "      <td>637.3</td>\n",
+       "      <td>138.3</td>\n",
+       "      <td>3.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2075-2099</th>\n",
+       "      <td>635.6</td>\n",
+       "      <td>659.8</td>\n",
+       "      <td>137.8</td>\n",
+       "      <td>3.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"3\" valign=\"top\">ssp370</th>\n",
+       "      <th>2025-2050</th>\n",
+       "      <td>623.4</td>\n",
+       "      <td>640.5</td>\n",
+       "      <td>138.5</td>\n",
+       "      <td>2.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2050-2075</th>\n",
+       "      <td>636.3</td>\n",
+       "      <td>650.3</td>\n",
+       "      <td>136.7</td>\n",
+       "      <td>4.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2075-2099</th>\n",
+       "      <td>656.9</td>\n",
+       "      <td>645.7</td>\n",
+       "      <td>136.6</td>\n",
+       "      <td>5.4</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "variable            evspsblpot     pr   rsds  tas\n",
+       "scenario period                                  \n",
+       "ssp126   2025-2050       621.1  633.9  138.5  2.5\n",
+       "         2050-2075       625.8  630.1  138.7  3.0\n",
+       "         2075-2099       621.5  645.3  138.2  2.7\n",
+       "ssp245   2025-2050       628.0  623.0  139.5  2.7\n",
+       "         2050-2075       632.7  637.3  138.3  3.6\n",
+       "         2075-2099       635.6  659.8  137.8  3.6\n",
+       "ssp370   2025-2050       623.4  640.5  138.5  2.7\n",
+       "         2050-2075       636.3  650.3  136.7  4.4\n",
+       "         2075-2099       656.9  645.7  136.6  5.4"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "period_forcing_table = round(create_period_forcing_table(annual_table), 1)\n",
+    "period_forcing_table"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a2a61199-ced1-4957-b77e-d91a49770d1a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "period_forcing_table = round(create_period_forcing_table(annual_table), 1)\n",
+    "\n",
+    "period_forcing_table"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "510ade0c-1910-4ac1-b9f4-2414062c18ec",
+   "metadata": {},
+   "source": [
+    "## 4. Yearly forcing avg graph"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "11a82ee9-53a5-415b-910b-29ea9a805791",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def plot_annual_forcing_variable(annual_forcing_table, var_name):\n",
+    "\n",
+    "    # Combine historical and scenarios\n",
+    "    annual_forcing_table_all = pd.concat([annual_hist_table, annual_forcing_table],ignore_index=True)\n",
+    "    data = annual_forcing_table_all[annual_forcing_table_all[\"variable\"] == var_name]\n",
+    "    \n",
+    "    plt.figure(figsize=(9, 5))\n",
+    "    \n",
+    "    # Loop through scenarios\n",
+    "    for scenario in scenarios_new:\n",
+    "\n",
+    "        # Extract one scenario and colour \n",
+    "        scenario_data = data[data[\"scenario\"] == scenario]\n",
+    "        colour = colours[scenario]\n",
+    "\n",
+    "        # Plot historical \n",
+    "        if scenario == \"historical\":\n",
+    "            \n",
+    "            # Plot yearly average \n",
+    "            plt.plot(scenario_data[\"year\"], scenario_data[\"value\"], color=colour, linewidth=0.3, label=scenario)\n",
+    "\n",
+    "            x = scenario_data[\"year\"].values\n",
+    "            y = scenario_data[\"value\"].values\n",
+    "\n",
+    "            # Polyfit method for making trendline function\n",
+    "            slope, intercept = np.polyfit(x, y, 1)\n",
+    "            trend = slope * x + intercept\n",
+    "\n",
+    "            # Plot trendline\n",
+    "            plt.plot(x,trend,linestyle=\"--\",color=colour)\n",
+    "\n",
+    "        # Plot other scenarios\n",
+    "        else:\n",
+    "\n",
+    "            # Plot yearly average\n",
+    "            plt.plot(scenario_data[\"year\"], scenario_data[\"value\"], alpha=0.3, color=colour, label=scenario)\n",
+    "\n",
+    "        # Look at each 25 year period\n",
+    "        for i in range(len(periods[0])):\n",
+    "\n",
+    "            # Define period range\n",
+    "            start_year = periods[0][i]\n",
+    "            end_year = periods[1][i]\n",
+    "\n",
+    "            # Adjust data to fit period range\n",
+    "            period_data = scenario_data[\n",
+    "            (scenario_data[\"year\"] >= start_year) & \n",
+    "            (scenario_data[\"year\"] <= end_year)]\n",
+    "\n",
+    "            # Plot trend line over each 25 year period\n",
+    "            if len(period_data) > 1:\n",
+    "\n",
+    "                x = period_data[\"year\"].values\n",
+    "                y = period_data[\"value\"].values\n",
+    "\n",
+    "                # Polyfit method for making trendline function\n",
+    "                slope, intercept = np.polyfit(x, y, 1)\n",
+    "                trend = slope * x + intercept\n",
+    "\n",
+    "                # Plot trendline\n",
+    "                plt.plot(x,trend,linestyle=\"--\",color=colour)\n",
+    "\n",
+    "    # Define titles and labels based on var_name\n",
+    "    if var_name == \"pr\":\n",
+    "        ylabel = \"Annual precipitation (mm/year)\"\n",
+    "        title = \"Annual precipitation in LAR basin by climate scenario\"\n",
+    "\n",
+    "    elif var_name == \"evspsblpot\":\n",
+    "        ylabel = \"Annual potential evaporation (mm/year)\"\n",
+    "        title = \"Annual potential evaporation in LAR basin by climate scenario\"\n",
+    "\n",
+    "    elif var_name == \"tas\":\n",
+    "        ylabel = \"Annual mean temperature increase (°C)\"\n",
+    "        title = \"Annual mean temperature in LAR basin by climate scenario\"\n",
+    "\n",
+    "    elif var_name == \"rsds\":\n",
+    "        ylabel = \"Annual mean shortwave radiation (W/m²)\"\n",
+    "        title = \"Annual mean shortwave radiation in LAR basin by climate scenario\"\n",
+    "\n",
+    "    plt.xlabel(\"Year\")\n",
+    "    plt.ylabel(ylabel)\n",
+    "    plt.title(title)\n",
+    "    plt.grid(True)\n",
+    "    plt.legend()\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "5266e2f6-809c-4af8-ae55-98b52e4afe3e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 900x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Figure <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">22</span>: pr-time series for future climate scenarios between <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2025</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2099</span> and historical CMIP6 forcings between \n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1989</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2014</span>.\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Figure \u001b[1;36m22\u001b[0m: pr-time series for future climate scenarios between \u001b[1;36m2025\u001b[0m-\u001b[1;36m2099\u001b[0m and historical CMIP6 forcings between \n",
+       "\u001b[1;36m1989\u001b[0m-\u001b[1;36m2014\u001b[0m.\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 900x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Figure <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">23</span>: tas-time series for future climate scenarios between <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2025</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2099</span> and historical CMIP6 forcings between \n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1989</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2014</span>.\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Figure \u001b[1;36m23\u001b[0m: tas-time series for future climate scenarios between \u001b[1;36m2025\u001b[0m-\u001b[1;36m2099\u001b[0m and historical CMIP6 forcings between \n",
+       "\u001b[1;36m1989\u001b[0m-\u001b[1;36m2014\u001b[0m.\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 900x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Figure <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">24</span>: rsds-time series for future climate scenarios between <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2025</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2099</span> and historical CMIP6 forcings between \n",
+       "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1989</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2014</span>.\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Figure \u001b[1;36m24\u001b[0m: rsds-time series for future climate scenarios between \u001b[1;36m2025\u001b[0m-\u001b[1;36m2099\u001b[0m and historical CMIP6 forcings between \n",
+       "\u001b[1;36m1989\u001b[0m-\u001b[1;36m2014\u001b[0m.\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 900x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Figure <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">25</span>: evspsblpot-time series for future climate scenarios between <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2025</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2099</span> and historical CMIP6 forcings \n",
+       "between <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1989</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2014</span>.\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Figure \u001b[1;36m25\u001b[0m: evspsblpot-time series for future climate scenarios between \u001b[1;36m2025\u001b[0m-\u001b[1;36m2099\u001b[0m and historical CMIP6 forcings \n",
+       "between \u001b[1;36m1989\u001b[0m-\u001b[1;36m2014\u001b[0m.\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Define figure number for first figure\n",
+    "n = 22\n",
+    "\n",
+    "# Define var names\n",
+    "vars = [\"pr\", \"tas\", \"rsds\", \"evspsblpot\"]\n",
+    "\n",
+    "# Run function to display plots for each var_name in vars\n",
+    "for i in range(len(vars)):\n",
+    "    plot_annual_forcing_variable(annual_table, vars[i])\n",
+    "    print(f\"Figure {n + i}: {vars[i]}-time series for future climate scenarios between 2025-2099 and historical CMIP6 forcings between 1989-2014.\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "68793e28-0a37-4d24-bdbe-1cd63bbbd039",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "96e43fcd-cb94-4ec2-bb7f-3af180989e7e",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Appendix_F_ERA5_Forcings_Generation.ipynb b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Appendix_F_ERA5_Forcings_Generation.ipynb
new file mode 100644
index 00000000..f50dabf5
--- /dev/null
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Appendix_F_ERA5_Forcings_Generation.ipynb
@@ -0,0 +1,897 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "e91181a8-c60f-456f-80cc-3923bf7c6a43",
+   "metadata": {},
+   "source": [
+    "# ERA5 Data generation & merging \n",
+    "\n",
+    "ERA5 data will be generated from 1970-2025, loaded and merged into one file"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "680410be-715a-4678-a4e3-c1141939241e",
+   "metadata": {},
+   "source": [
+    "## Start-up"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "7ef3318e-968e-418e-bf4c-a8936aade9a5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# general python\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\", category=UserWarning)\n",
+    "\n",
+    "import numpy as np\n",
+    "from pathlib import Path\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import xarray as xr\n",
+    "\n",
+    "#niceties\n",
+    "from rich import print\n",
+    "\n",
+    "import yaml"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "f7ff029b-ee4b-4fe2-b5d5-bf768b626989",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# General eWaterCycle\n",
+    "import ewatercycle\n",
+    "import ewatercycle.models\n",
+    "import ewatercycle.forcing"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "cc4de849-39a5-40e6-9f4a-865da369e8b2",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">{</span>\n",
+       "    <span style=\"color: #008000; text-decoration-color: #008000\">'OBS6'</span>: <span style=\"font-weight: bold\">[</span><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/data/shared/climate-data/obs6'</span><span style=\"font-weight: bold\">)]</span>,\n",
+       "    <span style=\"color: #008000; text-decoration-color: #008000\">'default'</span>: <span style=\"font-weight: bold\">[</span><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/data/shared/climate-data'</span><span style=\"font-weight: bold\">)]</span>,\n",
+       "    <span style=\"color: #008000; text-decoration-color: #008000\">'CMIP6'</span>: <span style=\"font-weight: bold\">[</span><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/.esmvaltool/downloads/CMIP6'</span><span style=\"font-weight: bold\">)]</span>\n",
+       "<span style=\"font-weight: bold\">}</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1m{\u001b[0m\n",
+       "    \u001b[32m'OBS6'\u001b[0m: \u001b[1m[\u001b[0m\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/data/shared/climate-data/obs6'\u001b[0m\u001b[1m)\u001b[0m\u001b[1m]\u001b[0m,\n",
+       "    \u001b[32m'default'\u001b[0m: \u001b[1m[\u001b[0m\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/data/shared/climate-data'\u001b[0m\u001b[1m)\u001b[0m\u001b[1m]\u001b[0m,\n",
+       "    \u001b[32m'CMIP6'\u001b[0m: \u001b[1m[\u001b[0m\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/.esmvaltool/downloads/CMIP6'\u001b[0m\u001b[1m)\u001b[0m\u001b[1m]\u001b[0m\n",
+       "\u001b[1m}\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'CMIP3'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'ESGF'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'CMIP5'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'ESGF'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'CMIP6'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'ESGF'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'CORDEX'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'ESGF'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'obs4MIPs'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'ESGF'</span><span style=\"font-weight: bold\">}</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1m{\u001b[0m\u001b[32m'CMIP3'\u001b[0m: \u001b[32m'ESGF'\u001b[0m, \u001b[32m'CMIP5'\u001b[0m: \u001b[32m'ESGF'\u001b[0m, \u001b[32m'CMIP6'\u001b[0m: \u001b[32m'ESGF'\u001b[0m, \u001b[32m'CORDEX'\u001b[0m: \u001b[32m'ESGF'\u001b[0m, \u001b[32m'obs4MIPs'\u001b[0m: \u001b[32m'ESGF'\u001b[0m\u001b[1m}\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Fix ERA5 config error\n",
+    "from esmvalcore.config import CFG   # older: from esmvalcore.experimental import CFG\n",
+    "from pathlib import Path\n",
+    "home = Path.home()\n",
+    "OBS6 = Path('/data/shared/climate-data/obs6')\n",
+    "default = Path('/data/shared/climate-data')\n",
+    "CMIP_path = Path(f'{str(home)}/.esmvaltool/downloads/CMIP6')\n",
+    "CFG['rootpath'] = {'OBS6': [OBS6], 'default': [default], 'CMIP6': [CMIP_path]}\n",
+    "print(CFG['rootpath'])\n",
+    "print(CFG['drs'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "74c8c15e-8cab-4e1a-b6eb-c9c165d8c051",
+   "metadata": {},
+   "source": [
+    "### Define range & forcing paths"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "b2343410-2713-4089-ae42-dad37b457c41",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">ERA5-1989-1994</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/\u001b[0m\u001b[95mERA5-1989-1994\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1989</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1;36m1989\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2014</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1;36m2014\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Defining period range\n",
+    "# periods = [\n",
+    "#     [1970, 1975, 1980, 1985, 1990, 1995, 2000, 2005, 2010, 2015, 2020],\n",
+    "#     [1974, 1979, 1984, 1989, 1994, 1999, 2004, 2009, 2014, 2019, 2024]]\n",
+    "\n",
+    "# For calibration 1:\n",
+    "# periods = [\n",
+    "#     [1990, 1995, 2000, 2005, 2010],\n",
+    "#     [1994, 1999, 2004, 2009, 2017]]\n",
+    "\n",
+    "# For calibration 2:\n",
+    "# periods = [\n",
+    "#     [1999, 2005, 2010, 2018],\n",
+    "#     [2004, 2009, 2017, 2019]]\n",
+    "\n",
+    "# For validation 1:\n",
+    "# periods = [\n",
+    "#     [2018, 2022],\n",
+    "#     [2021, 2024]]\n",
+    "\n",
+    "# For validation 2:\n",
+    "# periods = [\n",
+    "#     [2019, 2022],\n",
+    "#     [2021, 2024]]\n",
+    "\n",
+    "# For CMIP trial:\n",
+    "# periods = [\n",
+    "#     [1995, 2000, 2005, 2010],\n",
+    "#     [1999, 2004, 2009, 2014]]\n",
+    "\n",
+    "# For CMIP trial 2\n",
+    "# periods = [\n",
+    "#     [1970, 1975, 1980, 1985, 1990, 1995],\n",
+    "#     [1974, 1979, 1984, 1989, 1994, 1999]]\n",
+    "\n",
+    "periods = [\n",
+    "    [1989, 1995, 2000, 2005, 2010],\n",
+    "    [1994, 1999, 2004, 2009, 2014]]\n",
+    "\n",
+    "folder_names = []\n",
+    "forcing_paths = {}\n",
+    "\n",
+    "# Generate file names & paths\n",
+    "for i in range(len(periods[0])):\n",
+    "    start_year = periods[0][i]\n",
+    "    end_year = periods[1][i]\n",
+    "    \n",
+    "    folder_name = f'ERA5-{start_year}-{end_year}'                         # Add -cal or -val for cal and val folder name\n",
+    "    # forcing_path = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / folder_name\n",
+    "    forcing_path = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"forcings\" / \"ERA5\" / folder_name\n",
+    "\n",
+    "    folder_names.append(folder_name)\n",
+    "    forcing_paths[folder_name] = forcing_path\n",
+    "\n",
+    "    forcing_path.mkdir(exist_ok=True, parents=True)\n",
+    "\n",
+    "# Call path test\n",
+    "print(forcing_paths[folder_names[0]])\n",
+    "\n",
+    "start_year = periods[0][0]\n",
+    "end_year = periods[1][-1]\n",
+    "\n",
+    "print(start_year)\n",
+    "print(end_year)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "619dd21a-0646-4bae-a71b-935f1fca8c04",
+   "metadata": {},
+   "source": [
+    "### Generate ERA5 data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "cbc7b2b6-88ee-4e7f-b37c-39eaf878c075",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Finished ERA5-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1989</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1994</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Finished ERA5-\u001b[1;36m1989\u001b[0m-\u001b[1;36m1994\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Skipping ERA5-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1995</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1999</span> because the folder is not empty.\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Skipping ERA5-\u001b[1;36m1995\u001b[0m-\u001b[1;36m1999\u001b[0m because the folder is not empty.\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Skipping ERA5-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2000</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2004</span> because the folder is not empty.\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Skipping ERA5-\u001b[1;36m2000\u001b[0m-\u001b[1;36m2004\u001b[0m because the folder is not empty.\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Skipping ERA5-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2005</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2009</span> because the folder is not empty.\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Skipping ERA5-\u001b[1;36m2005\u001b[0m-\u001b[1;36m2009\u001b[0m because the folder is not empty.\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Skipping ERA5-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2010</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2014</span> because the folder is not empty.\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Skipping ERA5-\u001b[1;36m2010\u001b[0m-\u001b[1;36m2014\u001b[0m because the folder is not empty.\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Shapefile path\n",
+    "# shape_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "shape_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "\n",
+    "# Generate forcing data\n",
+    "# for i in range(1):\n",
+    "for i in range(len(folder_names)):\n",
+    "    # Change start year to start time so ERA5 can interpret it\n",
+    "    start_time_ERA5 = f'{periods[0][i]}-01-01T00:00:00Z'\n",
+    "    end_time_ERA5 = f'{periods[1][i]}-12-31T00:00:00Z'\n",
+    "\n",
+    "    # Skip if folder is not empty to prevent errors\n",
+    "    if any(forcing_paths[folder_names[i]].iterdir()):\n",
+    "        print(f\"Skipping {folder_names[i]} because the folder is not empty.\")\n",
+    "        continue\n",
+    "\n",
+    "    # Load forcings\n",
+    "    ERA5_forcing = ewatercycle.forcing.sources['LumpedMakkinkForcing'].generate(\n",
+    "        dataset=\"ERA5\",\n",
+    "        start_time=start_time_ERA5,\n",
+    "        end_time=end_time_ERA5,\n",
+    "        shape=shape_file,\n",
+    "        directory=forcing_paths[folder_names[i]])\n",
+    "\n",
+    "    # I need info because my patience is limited\n",
+    "    print(f\"Finished {folder_names[i]}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "91242ae4-3d21-4d18-815f-5cc986d5961e",
+   "metadata": {},
+   "source": [
+    "### Load ERA5 data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "f8e8ac64-fee5-4602-a1f1-90b8fb14c2b2",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">[</span><span style=\"color: #008000; text-decoration-color: #008000\">'ERA5-1989-1994'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'ERA5-1995-1999'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'ERA5-2000-2004'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'ERA5-2005-2009'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'ERA5-2010-2014'</span><span style=\"font-weight: bold\">]</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1m[\u001b[0m\u001b[32m'ERA5-1989-1994'\u001b[0m, \u001b[32m'ERA5-1995-1999'\u001b[0m, \u001b[32m'ERA5-2000-2004'\u001b[0m, \u001b[32m'ERA5-2005-2009'\u001b[0m, \u001b[32m'ERA5-2010-2014'\u001b[0m\u001b[1m]\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "LumpedMakkinkForcing(start_time='1989-01-01T00:00:00Z', end_time='1994-12-31T00:00:00Z', directory=PosixPath('/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-1989-1994/work/diagnostic/script'), shape=PosixPath('/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-1989-1994/work/diagnostic/script/07DA001_basin.shp'), filenames={'pr': 'OBS6_ERA5_reanaly_1_day_pr_1989-1994.nc', 'tas': 'OBS6_ERA5_reanaly_1_day_tas_1989-1994.nc', 'rsds': 'OBS6_ERA5_reanaly_1_day_rsds_1989-1994.nc', 'evspsblpot': 'Derived_Makkink_evspsblpot.nc'})"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ERA5_forcings = {}\n",
+    "\n",
+    "for i in range(len(folder_names)):\n",
+    "    # Create new path to find relevant files in the folder\n",
+    "    directory_new = forcing_paths[folder_names[i]] / \"work\" / \"diagnostic\" / \"script\"\n",
+    "    \n",
+    "    # Load forcings\n",
+    "    ERA5_forcings[folder_names[i]] = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=directory_new)\n",
+    "\n",
+    "# Test to see if it works\n",
+    "print(folder_names)\n",
+    "ERA5_forcings[folder_names[0]]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c8eddb25-06e3-4702-87e8-258aeda27a15",
+   "metadata": {},
+   "source": [
+    "### Merge ERA5 data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "1cb12aa2-4b4c-4108-a5c9-2d8156cdecfe",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Function to seperate files based on file names and combine same file names from different folders\n",
+    "def combine_variable(var_name):\n",
+    "    datasets = []\n",
+    "\n",
+    "    for i in range(len(folder_names)):\n",
+    "\n",
+    "        if var_name == \"evspsblpot\":\n",
+    "            file_name = \"Derived_Makkink_evspsblpot.nc\"\n",
+    "        else:\n",
+    "            file_name = f\"OBS6_ERA5_reanaly_1_day_{var_name}_{periods[0][i]}-{periods[1][i]}.nc\"\n",
+    "\n",
+    "        directory = forcing_paths[folder_names[i]] / \"work\" / \"diagnostic\" / \"script\" / file_name\n",
+    "\n",
+    "        print(f\"Loading {directory}\")\n",
+    "\n",
+    "        datasets.append(xr.open_dataset(directory))\n",
+    "\n",
+    "    combined = xr.concat(datasets, dim=\"time\")\n",
+    "    return combined"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "b21fe2e4-478a-4e0b-9f1f-a40316e22018",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-1989-1994/w</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">ork/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_pr_1989-1994.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-1989-1994/w\u001b[0m\n",
+       "\u001b[35mork/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_pr_1989-1994.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-1995-1999/w</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">ork/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_pr_1995-1999.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-1995-1999/w\u001b[0m\n",
+       "\u001b[35mork/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_pr_1995-1999.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2000-2004/w</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">ork/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_pr_2000-2004.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2000-2004/w\u001b[0m\n",
+       "\u001b[35mork/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_pr_2000-2004.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2005-2009/w</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">ork/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_pr_2005-2009.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2005-2009/w\u001b[0m\n",
+       "\u001b[35mork/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_pr_2005-2009.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2010-2014/w</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">ork/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_pr_2010-2014.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2010-2014/w\u001b[0m\n",
+       "\u001b[35mork/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_pr_2010-2014.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-1989-1994/w</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">ork/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_tas_1989-1994.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-1989-1994/w\u001b[0m\n",
+       "\u001b[35mork/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_tas_1989-1994.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-1995-1999/w</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">ork/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_tas_1995-1999.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-1995-1999/w\u001b[0m\n",
+       "\u001b[35mork/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_tas_1995-1999.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2000-2004/w</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">ork/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_tas_2000-2004.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2000-2004/w\u001b[0m\n",
+       "\u001b[35mork/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_tas_2000-2004.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2005-2009/w</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">ork/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_tas_2005-2009.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2005-2009/w\u001b[0m\n",
+       "\u001b[35mork/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_tas_2005-2009.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2010-2014/w</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">ork/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_tas_2010-2014.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2010-2014/w\u001b[0m\n",
+       "\u001b[35mork/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_tas_2010-2014.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-1989-1994/w</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">ork/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_rsds_1989-1994.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-1989-1994/w\u001b[0m\n",
+       "\u001b[35mork/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_rsds_1989-1994.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-1995-1999/w</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">ork/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_rsds_1995-1999.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-1995-1999/w\u001b[0m\n",
+       "\u001b[35mork/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_rsds_1995-1999.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2000-2004/w</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">ork/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_rsds_2000-2004.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2000-2004/w\u001b[0m\n",
+       "\u001b[35mork/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_rsds_2000-2004.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2005-2009/w</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">ork/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_rsds_2005-2009.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2005-2009/w\u001b[0m\n",
+       "\u001b[35mork/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_rsds_2005-2009.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2010-2014/w</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">ork/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">OBS6_ERA5_reanaly_1_day_rsds_2010-2014.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2010-2014/w\u001b[0m\n",
+       "\u001b[35mork/diagnostic/script/\u001b[0m\u001b[95mOBS6_ERA5_reanaly_1_day_rsds_2010-2014.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-1989-1994/w</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">ork/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_evspsblpot.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-1989-1994/w\u001b[0m\n",
+       "\u001b[35mork/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_evspsblpot.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-1995-1999/w</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">ork/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_evspsblpot.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-1995-1999/w\u001b[0m\n",
+       "\u001b[35mork/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_evspsblpot.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2000-2004/w</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">ork/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_evspsblpot.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2000-2004/w\u001b[0m\n",
+       "\u001b[35mork/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_evspsblpot.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2005-2009/w</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">ork/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_evspsblpot.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2005-2009/w\u001b[0m\n",
+       "\u001b[35mork/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_evspsblpot.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2010-2014/w</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">ork/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_evspsblpot.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/ERA5/ERA5-2010-2014/w\u001b[0m\n",
+       "\u001b[35mork/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_evspsblpot.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Running function for various file name types\n",
+    "combined_variables = {}\n",
+    "var_names = [\"pr\", \"tas\", \"rsds\", \"evspsblpot\"]\n",
+    "\n",
+    "# combined_path = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / f'ERA5-{periods[0][0]}-{periods[1][-1]}'\n",
+    "combined_path = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"forcings\" / \"ERA5\" / f'ERA5-{start_year}-{end_year}'\n",
+    "combined_path.mkdir(parents=True, exist_ok=True)\n",
+    "\n",
+    "for i in range(len(var_names)):\n",
+    "    combined_variables[var_names[i]] = combine_variable(var_names[i])\n",
+    "    combined_variables[var_names[i]].to_netcdf(combined_path / f'combined_ERA5_{start_year}_{end_year}_{var_names[i]}.nc')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a439e818-0aa8-4e92-a189-fde70016a911",
+   "metadata": {},
+   "source": [
+    "### Create YAML file"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "e60b3316-e100-4af9-a36d-fad721ef6e02",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create yaml\n",
+    "forcing_yaml = {\n",
+    "    \"start_time\": f\"{start_year}-01-01T00:00:00Z\",\n",
+    "    \"end_time\": f\"{end_year}-12-31T00:00:00Z\",\n",
+    "    \"shape\": str(shape_file),\n",
+    "    \"filenames\": {\n",
+    "        \"pr\": f\"combined_ERA5_{start_year}_{end_year}_pr.nc\",\n",
+    "        \"tas\": f\"combined_ERA5_{start_year}_{end_year}_tas.nc\",\n",
+    "        \"rsds\": f\"combined_ERA5_{start_year}_{end_year}_rsds.nc\",\n",
+    "        \"evspsblpot\": f\"combined_ERA5_{start_year}_{end_year}_evspsblpot.nc\"}}\n",
+    "\n",
+    "# Save the YAML file\n",
+    "yaml_file_path = combined_path / \"ewatercycle_forcing.yaml\"\n",
+    "\n",
+    "with open(yaml_file_path, \"w\") as yaml_file:\n",
+    "    yaml.dump(forcing_yaml, yaml_file, default_flow_style=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "10ff50bf-b6e7-4033-9682-3e25d01ecd26",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">LumpedMakkinkForcing</span><span style=\"font-weight: bold\">(</span>\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">start_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'1989-01-01T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">end_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'2014-12-31T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">directory</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forci</span>\n",
+       "<span style=\"color: #008000; text-decoration-color: #008000\">ngs/ERA5/ERA5-1989-2014'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">shape</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Shapefile</span>\n",
+       "<span style=\"color: #008000; text-decoration-color: #008000\">s/07DA001_basin.shp'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">filenames</span>=<span style=\"font-weight: bold\">{</span>\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'evspsblpot'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1989_2014_evspsblpot.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'pr'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1989_2014_pr.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'rsds'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1989_2014_rsds.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'tas'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_ERA5_1989_2014_tas.nc'</span>\n",
+       "    <span style=\"font-weight: bold\">}</span>\n",
+       "<span style=\"font-weight: bold\">)</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1;35mLumpedMakkinkForcing\u001b[0m\u001b[1m(\u001b[0m\n",
+       "    \u001b[33mstart_time\u001b[0m=\u001b[32m'1989-01-01T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mend_time\u001b[0m=\u001b[32m'2014-12-31T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mdirectory\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forci\u001b[0m\n",
+       "\u001b[32mngs/ERA5/ERA5-1989-2014'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mshape\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Shapefile\u001b[0m\n",
+       "\u001b[32ms/07DA001_basin.shp'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mfilenames\u001b[0m=\u001b[1m{\u001b[0m\n",
+       "        \u001b[32m'evspsblpot'\u001b[0m: \u001b[32m'combined_ERA5_1989_2014_evspsblpot.nc'\u001b[0m,\n",
+       "        \u001b[32m'pr'\u001b[0m: \u001b[32m'combined_ERA5_1989_2014_pr.nc'\u001b[0m,\n",
+       "        \u001b[32m'rsds'\u001b[0m: \u001b[32m'combined_ERA5_1989_2014_rsds.nc'\u001b[0m,\n",
+       "        \u001b[32m'tas'\u001b[0m: \u001b[32m'combined_ERA5_1989_2014_tas.nc'\u001b[0m\n",
+       "    \u001b[1m}\u001b[0m\n",
+       "\u001b[1m)\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "ERA5_combined_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=combined_path)\n",
+    "print(ERA5_combined_forcing)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Appendix_G_CMIP6_Forcings_Generation.ipynb b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Appendix_G_CMIP6_Forcings_Generation.ipynb
new file mode 100644
index 00000000..ae645d83
--- /dev/null
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Appendix_G_CMIP6_Forcings_Generation.ipynb
@@ -0,0 +1,913 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "e91181a8-c60f-456f-80cc-3923bf7c6a43",
+   "metadata": {},
+   "source": [
+    "# CMIP6 Data generation & merging \n",
+    "\n",
+    "CMIP6 data will be generated from 1995-2014, loaded and merged into one file\n",
+    "\n",
+    "**Note: Depending on if you want to run historical, or an ssp, changes you need to make are:**\n",
+    "1. Cell 5: Select scenario\n",
+    "2. Cell 6: Define period"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "680410be-715a-4678-a4e3-c1141939241e",
+   "metadata": {},
+   "source": [
+    "## Start-up"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "id": "7ef3318e-968e-418e-bf4c-a8936aade9a5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# general python\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\", category=UserWarning)\n",
+    "\n",
+    "import numpy as np\n",
+    "from pathlib import Path\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import xarray as xr\n",
+    "\n",
+    "#niceties\n",
+    "from rich import print\n",
+    "\n",
+    "import yaml"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "f7ff029b-ee4b-4fe2-b5d5-bf768b626989",
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "OSError",
+     "evalue": "[Errno 5] Input/output error: '/data/shared/observation/grdc/dailies'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mOSError\u001b[0m                                   Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[1], line 2\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;66;03m# General eWaterCycle\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mewatercycle\u001b[39;00m\n\u001b[1;32m      3\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mewatercycle\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mmodels\u001b[39;00m\n\u001b[1;32m      4\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mewatercycle\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mforcing\u001b[39;00m\n",
+      "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/ewatercycle/__init__.py:3\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;124;03m\"\"\"ewatercycle package.\"\"\"\u001b[39;00m\n\u001b[0;32m----> 3\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mconfig\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m CFG \u001b[38;5;28;01mas\u001b[39;00m CFG\n\u001b[1;32m      4\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mversion\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m __version__ \u001b[38;5;28;01mas\u001b[39;00m __version__\n",
+      "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/ewatercycle/config/__init__.py:321\u001b[0m\n\u001b[1;32m    317\u001b[0m _SOURCES \u001b[38;5;241m=\u001b[39m (USER_HOME_CONFIG, SYSTEM_CONFIG)\n\u001b[1;32m    319\u001b[0m USER_CONFIG \u001b[38;5;241m=\u001b[39m _find_user_config(_SOURCES)\n\u001b[0;32m--> 321\u001b[0m CFG \u001b[38;5;241m=\u001b[39m \u001b[43mConfiguration\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_load_user_config\u001b[49m\u001b[43m(\u001b[49m\u001b[43mUSER_CONFIG\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mif\u001b[39;00m USER_CONFIG \u001b[38;5;28;01melse\u001b[39;00m Configuration()\n\u001b[1;32m    322\u001b[0m \u001b[38;5;124;03m\"\"\"eWaterCycle configuration object.\u001b[39;00m\n\u001b[1;32m    323\u001b[0m \n\u001b[1;32m    324\u001b[0m \u001b[38;5;124;03mThe configuration is loaded from:\u001b[39;00m\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    341\u001b[0m \u001b[38;5;124;03m    # apptainer pull docker://ewatercycle/wflow-grpc4bmi:2020.1.1\u001b[39;00m\n\u001b[1;32m    342\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n",
+      "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/ewatercycle/config/__init__.py:197\u001b[0m, in \u001b[0;36mConfiguration._load_user_config\u001b[0;34m(cls, filename)\u001b[0m\n\u001b[1;32m    195\u001b[0m mapping \u001b[38;5;241m=\u001b[39m _read_config_file(filename)\n\u001b[1;32m    196\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 197\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mConfiguration\u001b[49m\u001b[43m(\u001b[49m\u001b[43mewatercycle_config\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfilename\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mmapping\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    198\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m ValidationError \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m    199\u001b[0m     \u001b[38;5;66;03m# Append filename to error locs\u001b[39;00m\n\u001b[1;32m    200\u001b[0m     \u001b[38;5;28;01mfor\u001b[39;00m error \u001b[38;5;129;01min\u001b[39;00m e\u001b[38;5;241m.\u001b[39merrors():\n",
+      "    \u001b[0;31m[... skipping hidden 1 frame]\u001b[0m\n",
+      "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/pydantic/types.py:1282\u001b[0m, in \u001b[0;36mPathType.validate_directory\u001b[0;34m(path, _)\u001b[0m\n\u001b[1;32m   1280\u001b[0m \u001b[38;5;129m@staticmethod\u001b[39m\n\u001b[1;32m   1281\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21mvalidate_directory\u001b[39m(path: Path, _: core_schema\u001b[38;5;241m.\u001b[39mValidationInfo) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Path:\n\u001b[0;32m-> 1282\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[43mpath\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mis_dir\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m:\n\u001b[1;32m   1283\u001b[0m         \u001b[38;5;28;01mreturn\u001b[39;00m path\n\u001b[1;32m   1284\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n",
+      "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/pathlib.py:875\u001b[0m, in \u001b[0;36mPath.is_dir\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    871\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m    872\u001b[0m \u001b[38;5;124;03mWhether this path is a directory.\u001b[39;00m\n\u001b[1;32m    873\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m    874\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 875\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m S_ISDIR(\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mstat\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241m.\u001b[39mst_mode)\n\u001b[1;32m    876\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mOSError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m    877\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m _ignore_error(e):\n",
+      "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/pathlib.py:840\u001b[0m, in \u001b[0;36mPath.stat\u001b[0;34m(self, follow_symlinks)\u001b[0m\n\u001b[1;32m    835\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21mstat\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;241m*\u001b[39m, follow_symlinks\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m):\n\u001b[1;32m    836\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m    837\u001b[0m \u001b[38;5;124;03m    Return the result of the stat() system call on this path, like\u001b[39;00m\n\u001b[1;32m    838\u001b[0m \u001b[38;5;124;03m    os.stat() does.\u001b[39;00m\n\u001b[1;32m    839\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[0;32m--> 840\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mos\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mstat\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfollow_symlinks\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfollow_symlinks\u001b[49m\u001b[43m)\u001b[49m\n",
+      "\u001b[0;31mOSError\u001b[0m: [Errno 5] Input/output error: '/data/shared/observation/grdc/dailies'"
+     ]
+    }
+   ],
+   "source": [
+    "# General eWaterCycle\n",
+    "import ewatercycle\n",
+    "import ewatercycle.models\n",
+    "import ewatercycle.forcing"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "id": "df3c38b4-7757-475c-a670-e7a06cc53955",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Choose what you want to run:\n",
+    "Scenario = \"ssp370\"    # Options: historical, ssp119, ssp126, ssp245, ssp,370, ssp585"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "74c8c15e-8cab-4e1a-b6eb-c9c165d8c051",
+   "metadata": {},
+   "source": [
+    "### Define range & forcing paths"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "id": "b2343410-2713-4089-ae42-dad37b457c41",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6-20</span>\n",
+       "<span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">25-2030</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/\u001b[0m\u001b[95mCMIP6-20\u001b[0m\n",
+       "\u001b[95m25-2030\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2025</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1;36m2025\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2050</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1;36m2050\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Defining period range\n",
+    "\n",
+    "# For CMIP trial:\n",
+    "# periods = [\n",
+    "#     [1989, 1995, 2000, 2005, 2010],\n",
+    "#     [1994, 1999, 2004, 2009, 2014]\n",
+    "# ]\n",
+    "\n",
+    "# periods = [\n",
+    "#     [1970, 1975, 1980, 1985, 1990, 1995],\n",
+    "#     [1974, 1979, 1984, 1989, 1994, 1999]\n",
+    "# ]\n",
+    "\n",
+    "# Future projections 2025-2050:\n",
+    "periods = [\n",
+    "    [2025, 2031, 2036, 2041, 2046],\n",
+    "    [2030, 2035, 2040, 2045, 2050]\n",
+    "]\n",
+    "\n",
+    "# Future projections 2050-2075:\n",
+    "# periods = [\n",
+    "#     [2050, 2056, 2061, 2066, 2071],\n",
+    "#     [2055, 2060, 2065, 2070, 2075]\n",
+    "# ]\n",
+    "\n",
+    "# Future projections 2075-2099:\n",
+    "# periods = [\n",
+    "#     [2075, 2081, 2086, 2091, 2096],\n",
+    "#     [2080, 2085, 2090, 2095, 2099]\n",
+    "# ]\n",
+    "\n",
+    "\n",
+    "folder_names = []\n",
+    "forcing_paths = {}\n",
+    "\n",
+    "# Generate file names & paths\n",
+    "for i in range(len(periods[0])):\n",
+    "    start_year = periods[0][i]\n",
+    "    end_year = periods[1][i]\n",
+    "    \n",
+    "    folder_name = f'CMIP6-{start_year}-{end_year}'                        \n",
+    "    # forcing_path = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / Scenario / folder_name\n",
+    "    # forcing_path = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / \"SSP\" / folder_name\n",
+    "    # forcing_path = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / \"SSP\" / folder_name\n",
+    "    # forcing_path = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / \"SSP\" / folder_name\n",
+    "    forcing_path = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / Scenario / folder_name\n",
+    "\n",
+    "    folder_names.append(folder_name)\n",
+    "    forcing_paths[folder_name] = forcing_path\n",
+    "\n",
+    "    forcing_path.mkdir(exist_ok=True, parents=True)\n",
+    "\n",
+    "# Call path test\n",
+    "print(forcing_paths[folder_names[0]])\n",
+    "\n",
+    "start_year = periods[0][0]\n",
+    "end_year = periods[1][-1]\n",
+    "\n",
+    "print(start_year)\n",
+    "print(end_year)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "619dd21a-0646-4bae-a71b-935f1fca8c04",
+   "metadata": {},
+   "source": [
+    "### Generate CMIP6 data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "id": "cbc7b2b6-88ee-4e7f-b37c-39eaf878c075",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Skipping CMIP6-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2025</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2030</span> because the folder is not empty.\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Skipping CMIP6-\u001b[1;36m2025\u001b[0m-\u001b[1;36m2030\u001b[0m because the folder is not empty.\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Finished CMIP6-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2031</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2035</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Finished CMIP6-\u001b[1;36m2031\u001b[0m-\u001b[1;36m2035\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Finished CMIP6-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2036</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2040</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Finished CMIP6-\u001b[1;36m2036\u001b[0m-\u001b[1;36m2040\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Finished CMIP6-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2041</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2045</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Finished CMIP6-\u001b[1;36m2041\u001b[0m-\u001b[1;36m2045\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Finished CMIP6-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2046</span>-<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2050</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Finished CMIP6-\u001b[1;36m2046\u001b[0m-\u001b[1;36m2050\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Shapefile path\n",
+    "# shape_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "shape_file = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
+    "\n",
+    "# Choose CMIP6 dataset\n",
+    "# CMIP_dataset = {'dataset': 'MPI-ESM1-2-HR', 'project': 'CMIP6', 'grid' : 'gn', 'exp': Scenario, 'ensemble': 'r1i1p1f1'}\n",
+    "CMIP_dataset =  {'project': 'CMIP6', 'activity': 'ScenarioMIP', 'exp': Scenario, 'mip': 'day', 'dataset': 'MPI-ESM1-2-HR', 'ensemble': 'r1i1p1f1', 'institute': 'DKRZ', 'grid': 'gn'}\n",
+    "\n",
+    "# Generate forcing data\n",
+    "# for i in range(1):\n",
+    "for i in range(len(folder_names)):\n",
+    "    # Change start year to start time so ERA5 can interpret it\n",
+    "    start_time_CMIP = f'{periods[0][i]}-01-01T00:00:00Z'\n",
+    "    end_time_CMIP = f'{periods[1][i]}-12-31T00:00:00Z'\n",
+    "\n",
+    "    # Skip if folder is not empty to prevent errors\n",
+    "    if any(forcing_paths[folder_names[i]].iterdir()):\n",
+    "        print(f\"Skipping {folder_names[i]} because the folder is not empty.\")\n",
+    "        continue\n",
+    "\n",
+    "    # Load forcings\n",
+    "    CMIP_forcing = ewatercycle.forcing.sources['LumpedMakkinkForcing'].generate(\n",
+    "        dataset=CMIP_dataset,\n",
+    "        start_time=start_time_CMIP,\n",
+    "        end_time=end_time_CMIP,\n",
+    "        shape=shape_file,\n",
+    "        directory=forcing_paths[folder_names[i]]\n",
+    "    )\n",
+    "\n",
+    "    # I need info because my patience is limited\n",
+    "    print(f\"Finished {folder_names[i]}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "91242ae4-3d21-4d18-815f-5cc986d5961e",
+   "metadata": {},
+   "source": [
+    "### Load CMIP6 data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "id": "f8e8ac64-fee5-4602-a1f1-90b8fb14c2b2",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">[</span><span style=\"color: #008000; text-decoration-color: #008000\">'CMIP6-2025-2030'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'CMIP6-2031-2035'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'CMIP6-2036-2040'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'CMIP6-2041-2045'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'CMIP6-2046-2050'</span><span style=\"font-weight: bold\">]</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1m[\u001b[0m\u001b[32m'CMIP6-2025-2030'\u001b[0m, \u001b[32m'CMIP6-2031-2035'\u001b[0m, \u001b[32m'CMIP6-2036-2040'\u001b[0m, \u001b[32m'CMIP6-2041-2045'\u001b[0m, \u001b[32m'CMIP6-2046-2050'\u001b[0m\u001b[1m]\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "LumpedMakkinkForcing(start_time='2025-01-01T00:00:00Z', end_time='2030-12-31T00:00:00Z', directory=PosixPath('/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-2025-2030/work/diagnostic/script'), shape=PosixPath('/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-2025-2030/work/diagnostic/script/07DA001_basin.shp'), filenames={'pr': 'CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_pr_gn_2025-2030.nc', 'tas': 'CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_tas_gn_2025-2030.nc', 'rsds': 'CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_rsds_gn_2025-2030.nc', 'evspsblpot': 'Derived_Makkink_evspsblpot.nc'})"
+      ]
+     },
+     "execution_count": 54,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "CMIP_forcings = {}\n",
+    "\n",
+    "for i in range(len(folder_names)):\n",
+    "    # Create new path to find relevant files in the folder\n",
+    "    directory_new = forcing_paths[folder_names[i]] / \"work\" / \"diagnostic\" / \"script\"\n",
+    "    \n",
+    "    # Load forcings\n",
+    "    CMIP_forcings[folder_names[i]] = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=directory_new)\n",
+    "\n",
+    "# Test to see if it works\n",
+    "print(folder_names)\n",
+    "CMIP_forcings[folder_names[0]]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c8eddb25-06e3-4702-87e8-258aeda27a15",
+   "metadata": {},
+   "source": [
+    "### Merge CMIP6 data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "id": "1cb12aa2-4b4c-4108-a5c9-2d8156cdecfe",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Function to seperate files based on file names and combine same file names from different folders\n",
+    "def combine_variable(var_name):\n",
+    "    datasets = []\n",
+    "\n",
+    "    for i in range(len(folder_names)):\n",
+    "\n",
+    "        if var_name == \"evspsblpot\":\n",
+    "            file_name = \"Derived_Makkink_evspsblpot.nc\"\n",
+    "        else:\n",
+    "            file_name = f\"CMIP6_MPI-ESM1-2-HR_day_{Scenario}_r1i1p1f1_{var_name}_gn_{periods[0][i]}-{periods[1][i]}.nc\"\n",
+    "\n",
+    "        directory = forcing_paths[folder_names[i]] / \"work\" / \"diagnostic\" / \"script\" / file_name\n",
+    "\n",
+    "        print(f\"Loading {directory}\")\n",
+    "\n",
+    "        datasets.append(xr.open_dataset(directory))\n",
+    "\n",
+    "    combined = xr.concat(datasets, dim=\"time\")\n",
+    "    return combined"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "id": "b21fe2e4-478a-4e0b-9f1f-a40316e22018",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">25-2030/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_pr_gn_2025-2030.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
+       "\u001b[35m25-2030/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_pr_gn_2025-2030.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">31-2035/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_pr_gn_2031-2035.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
+       "\u001b[35m31-2035/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_pr_gn_2031-2035.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">36-2040/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_pr_gn_2036-2040.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
+       "\u001b[35m36-2040/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_pr_gn_2036-2040.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">41-2045/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_pr_gn_2041-2045.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
+       "\u001b[35m41-2045/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_pr_gn_2041-2045.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">46-2050/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_pr_gn_2046-2050.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
+       "\u001b[35m46-2050/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_pr_gn_2046-2050.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">25-2030/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_tas_gn_2025-2030.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
+       "\u001b[35m25-2030/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_tas_gn_2025-2030.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">31-2035/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_tas_gn_2031-2035.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
+       "\u001b[35m31-2035/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_tas_gn_2031-2035.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">36-2040/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_tas_gn_2036-2040.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
+       "\u001b[35m36-2040/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_tas_gn_2036-2040.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">41-2045/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_tas_gn_2041-2045.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
+       "\u001b[35m41-2045/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_tas_gn_2041-2045.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">46-2050/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_tas_gn_2046-2050.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
+       "\u001b[35m46-2050/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_tas_gn_2046-2050.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">25-2030/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_rsds_gn_2025-2030.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
+       "\u001b[35m25-2030/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_rsds_gn_2025-2030.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">31-2035/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_rsds_gn_2031-2035.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
+       "\u001b[35m31-2035/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_rsds_gn_2031-2035.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">36-2040/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_rsds_gn_2036-2040.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
+       "\u001b[35m36-2040/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_rsds_gn_2036-2040.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">41-2045/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_rsds_gn_2041-2045.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
+       "\u001b[35m41-2045/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_rsds_gn_2041-2045.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">46-2050/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">CMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_rsds_gn_2046-2050.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
+       "\u001b[35m46-2050/work/diagnostic/script/\u001b[0m\u001b[95mCMIP6_MPI-ESM1-2-HR_day_ssp370_r1i1p1f1_rsds_gn_2046-2050.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">25-2030/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_evspsblpot.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
+       "\u001b[35m25-2030/work/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_evspsblpot.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">31-2035/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_evspsblpot.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
+       "\u001b[35m31-2035/work/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_evspsblpot.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">36-2040/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_evspsblpot.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
+       "\u001b[35m36-2040/work/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_evspsblpot.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">41-2045/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_evspsblpot.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
+       "\u001b[35m41-2045/work/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_evspsblpot.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading \n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20</span>\n",
+       "<span style=\"color: #800080; text-decoration-color: #800080\">46-2050/work/diagnostic/script/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">Derived_Makkink_evspsblpot.nc</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Loading \n",
+       "\u001b[35m/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forcings/CMIP6/ssp370/CMIP6-20\u001b[0m\n",
+       "\u001b[35m46-2050/work/diagnostic/script/\u001b[0m\u001b[95mDerived_Makkink_evspsblpot.nc\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Running function for various file name types\n",
+    "combined_variables = {}\n",
+    "var_names = [\"pr\", \"tas\", \"rsds\", \"evspsblpot\"]\n",
+    "\n",
+    "# combined_path = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / Scenario / f'CMIP6-{start_year}-{end_year}'\n",
+    "combined_path = Path.home() / \"BEP-maxime\" / \"book\" / \"thesis_projects\" / \"BSc\" / \"2026_Q4_MaximedeBekker_CEG\" / \"Workyard\" / \"forcings\" / \"CMIP6\" / Scenario / f'CMIP6-{start_year}-{end_year}'\n",
+    "combined_path.mkdir(parents=True, exist_ok=True)\n",
+    "\n",
+    "for i in range(len(var_names)):\n",
+    "    combined_variables[var_names[i]] = combine_variable(var_names[i])\n",
+    "    combined_variables[var_names[i]].to_netcdf(combined_path / f'combined_CMIP6_{start_year}_{end_year}_{var_names[i]}.nc')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a439e818-0aa8-4e92-a189-fde70016a911",
+   "metadata": {},
+   "source": [
+    "### Create YAML file"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "id": "e60b3316-e100-4af9-a36d-fad721ef6e02",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create yaml\n",
+    "forcing_yaml = {\n",
+    "    \"start_time\": f\"{start_year}-01-01T00:00:00Z\",\n",
+    "    \"end_time\": f\"{end_year}-12-31T00:00:00Z\",\n",
+    "    \"shape\": str(shape_file),\n",
+    "    \"filenames\": {\n",
+    "        \"pr\": f\"combined_CMIP6_{start_year}_{end_year}_pr.nc\",\n",
+    "        \"tas\": f\"combined_CMIP6_{start_year}_{end_year}_tas.nc\",\n",
+    "        \"rsds\": f\"combined_CMIP6_{start_year}_{end_year}_rsds.nc\",\n",
+    "        \"evspsblpot\": f\"combined_CMIP6_{start_year}_{end_year}_evspsblpot.nc\"\n",
+    "    }}\n",
+    "\n",
+    "# Save the YAML file\n",
+    "yaml_file_path = combined_path / \"ewatercycle_forcing.yaml\"\n",
+    "\n",
+    "with open(yaml_file_path, \"w\") as yaml_file:\n",
+    "    yaml.dump(forcing_yaml, yaml_file, default_flow_style=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "id": "10ff50bf-b6e7-4033-9682-3e25d01ecd26",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">LumpedMakkinkForcing</span><span style=\"font-weight: bold\">(</span>\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">start_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'2025-01-01T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">end_time</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'2050-12-31T00:00:00Z'</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">directory</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forci</span>\n",
+       "<span style=\"color: #008000; text-decoration-color: #008000\">ngs/CMIP6/ssp370/CMIP6-2025-2050'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">shape</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">PosixPath</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">'/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Shapefile</span>\n",
+       "<span style=\"color: #008000; text-decoration-color: #008000\">s/07DA001_basin.shp'</span><span style=\"font-weight: bold\">)</span>,\n",
+       "    <span style=\"color: #808000; text-decoration-color: #808000\">filenames</span>=<span style=\"font-weight: bold\">{</span>\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'evspsblpot'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_2025_2050_evspsblpot.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'pr'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_2025_2050_pr.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'rsds'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_2025_2050_rsds.nc'</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'tas'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'combined_CMIP6_2025_2050_tas.nc'</span>\n",
+       "    <span style=\"font-weight: bold\">}</span>\n",
+       "<span style=\"font-weight: bold\">)</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1;35mLumpedMakkinkForcing\u001b[0m\u001b[1m(\u001b[0m\n",
+       "    \u001b[33mstart_time\u001b[0m=\u001b[32m'2025-01-01T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mend_time\u001b[0m=\u001b[32m'2050-12-31T00:00:00Z'\u001b[0m,\n",
+       "    \u001b[33mdirectory\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/forci\u001b[0m\n",
+       "\u001b[32mngs/CMIP6/ssp370/CMIP6-2025-2050'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mshape\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/maxime/BEP-maxime/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Shapefile\u001b[0m\n",
+       "\u001b[32ms/07DA001_basin.shp'\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "    \u001b[33mfilenames\u001b[0m=\u001b[1m{\u001b[0m\n",
+       "        \u001b[32m'evspsblpot'\u001b[0m: \u001b[32m'combined_CMIP6_2025_2050_evspsblpot.nc'\u001b[0m,\n",
+       "        \u001b[32m'pr'\u001b[0m: \u001b[32m'combined_CMIP6_2025_2050_pr.nc'\u001b[0m,\n",
+       "        \u001b[32m'rsds'\u001b[0m: \u001b[32m'combined_CMIP6_2025_2050_rsds.nc'\u001b[0m,\n",
+       "        \u001b[32m'tas'\u001b[0m: \u001b[32m'combined_CMIP6_2025_2050_tas.nc'\u001b[0m\n",
+       "    \u001b[1m}\u001b[0m\n",
+       "\u001b[1m)\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "CMIP6_combined_forcing = ewatercycle.forcing.sources[\"LumpedMakkinkForcing\"].load(directory=combined_path)\n",
+    "print(CMIP6_combined_forcing)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "83a89024-510b-442f-adeb-8f9e0d07a77f",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a8771eeb-24fc-4030-a653-1bafbfd45aec",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "eb1f2d7f-6efb-4d2c-a892-45d5792a5ede",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6cb15558-ec6b-4d6c-b1fc-8a8843b617db",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Figures/HBV_Visualisation.jpg.yml b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Figures/HBV_Visualisation.jpg.yml
new file mode 100644
index 00000000..3f72c9fa
--- /dev/null
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Figures/HBV_Visualisation.jpg.yml
@@ -0,0 +1,3 @@
+author: "Markus Hrachowitz"
+license: "Apache 2.0"
+date: "24-04-2026"
\ No newline at end of file
diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Figures/Map_LARbasin.jpg.yml b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Figures/Map_LARbasin.jpg.yml
new file mode 100644
index 00000000..068c7c57
--- /dev/null
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Figures/Map_LARbasin.jpg.yml
@@ -0,0 +1,3 @@
+author: "Aryal, S., Babel, M. S., Gupta, A., & Farjad, B."
+license: "CC-BY-4.0"
+date: "06-2024"
\ No newline at end of file
diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Figures/Map_LARbasin_criticalloc.jpg.yml b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Figures/Map_LARbasin_criticalloc.jpg.yml
new file mode 100644
index 00000000..a3521011
--- /dev/null
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Figures/Map_LARbasin_criticalloc.jpg.yml
@@ -0,0 +1,3 @@
+author: "DSI, LLC."
+license: "CC-BY-4.0"
+date: "14-09-2019"
\ No newline at end of file
diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Figures/SnowDepletion.jpg b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Figures/SnowDepletion.jpg
new file mode 100644
index 0000000000000000000000000000000000000000..ffbe17a619ad98941ad188cffa9dfe8b9313ce9a
GIT binary patch
literal 44668
zcmeFZ2UJttwm%v`Dbl1#FVYnOQHs=vd~`7s=}kqX2?)|#6r?u+1w|l8?~yLOg9u6|
z0#XusPbeWkNZ$U=z2}}!&%N)q{}})A#(069?3KORTxFKuoGZj1#0Ahr9Sv;_5D5th
z$Pf4f5obVZATm<YKmUQ(IpF_1<@xjH&YizNK|xMQbAg72`T{jIEgj=US~><gYU+!Z
zE;2ANv#_wx(6h2#VrFAxW?}xb5)v|?%(?Sa=g(6y(^Ati|F>Vnb`S$4>1|R183{j#
zl!1hdfrQu%;st?7&I7&uv%~-TA|VC(NKQdXb%7elP<s(XN<v0PdXDVRUIV#<f#;xe
z4CfgyOR17G89b!m_h7#9GU+3wz@5qt7Q+#=;LS&#p;Q+xv9hsq2nmabUb!kQBP(}H
zUP0{-bq!4|Z5^Zg#wMm_<`#C3?VmU}Iypc0^7ird^A8An6&?{86&;hD^5$)7+PnAZ
zIk|cH1%*Y$B~{fmwRQEM8yY*ix_f&2zVv?`9UGsRMEsbVMxqv%mRDBS);BPF`v-^E
zBi!-HpLCIc$o_?_f1~U-x)=buNY9-kJ4f*+T_mKwz(vMz?)+sbaz<4HiiaLd{5M`w
zGT%x1SlK}(aMKXY^2l@K!X-gzq!8v$(*8!-e~qxv{}E;XM%X{-ng-F3kpPoN#sC6?
z&Wv(mL_z;@C7^CfGitDXwCB6Np}a<R0m|zrOOOcbqAlt;YmgT9uBM~jqF@&&s)%R>
zqgOkv6_KXf{>UHO5<7>SvzqEzD|=Y%oxQsR53)7TB57-THfaocb7-2ZS0OS=W>b<X
zNMJ(AvT&W_)%4TGHyji3CDJ1qx2SHGdTho8BFg<tjmK-tFHG;7jM$^k@Uicuk1GT+
zb5z0?g&+%#WHvFPKz;v*uH1|-l~U2hOMPF<o>85QztJbNyJn#K0-kVN9yCU+i+w>V
zl2V^KyYDc@MyM5M1|hC7)V;9eB7H_xU@86W!ut_{w8mUFGE951<Nvu%{RhO+3u0Ki
zlwFL@a+(zvZ<)|<S#k?o%ExL)EA^&4>s(AqINbCyxXnX`HaY6P<VyrGTI!5#?{0&U
zQsebh!h1huF&Q4;0y0!2#~*=gaGqzD>~>Et-3D`aHv2B@cD++FD8cKtq*x-Pu|&|T
zK0}BIWIR7qh3k2(8O<po589bpO9Xw)?XkrvekOuYrQiqf!IIkL$0N=eJk7g1azqeP
zF^uriBAW=R_aK6L42U4ApS%au6JRtK6l4672)bZ0Mu<pcfiCPU5<xM!1m^O>Gg_Xj
zL{P_U9}&c2yk(0&BZB&&3yI0#Asn>h?^OmA637w>R}*pf7Kos1n_?p9#h(?F(c=v3
zU<cBEr9=>gFE8Gh7oG14UUS5l66kioxDuNlB4}tHpGKhc)I27F=yAeC5MJaNbXf8}
z5!C)a>Y`>PbpMD55+Z^^xsnLbE&^5CFI3)#cKTABksd<u6hMC-Ks(>o{B_KVh@fyW
zCn88qGo}sg`?nta8_kh|P#7Ah*PRIZYaN;*-N9EU(zYvYeh6?;Nr-=+ACrkvp|%K1
zLM1XU1#FrE?dZ1+H@hqxrMd+Ez}sfOxSQ_1@zOi-kEajY7Ve5-S$I2)ZNFI_(%T0M
zC<jd>YF18`$q3TA_|vpwP1*4!+x~Pfp$p(k*2>NL1IQLz-(A-(PWk!=URO1CW~tV#
zlW~eh^+Zr2nAujH=azZW6TV=}^qyut5$89ARe}$GFt0>)+C$;1*c)KkKzqmtPclwF
zu(fq2ZqYMChsTJZWGQI4q$~LNND`k0q(t6hp)V&!tO~IdG2k^|H2Qzf%rgz$-?2TG
zB!UFFhN|&&6*0@;PfEagQiBk*dI-$W2Y$JP2pB#o7B7kg8i0BJxoVF2R)S#*-d?6x
z&R(JtPdK1^8j|STQ?ef318E{?Db5zDSqH<PrV(_3+!Qyrh#<1koCe5Wd&&EQM--T^
zLZIPCz;aavCU5m;+ny~!OCIKc<F;n``q!oj?HJ87TJW&|E6!jWD5J6rP)7vqsScik
z+c(xKjDBhR7i#}88gvd*1PW7iPuQ<b|3YsdFi1lU(4{u~>*p#%XoW_xgsiS!3lH=1
zLtQ;%)3i_&1H;3$3kfyJL3h&h_?#Q*K0bO+Qa~c8nneVOF`e8$bCx3TdmP%9G_opK
zuKC<I@kv2(gRSmPSqpa4yrG~`$t^19*oe!O@oUN%Ywb{HHl`8Hi2?oJxc2C$5W7LZ
z6jhEH5kbQ}0cU=u?JYjmH}+BYujJ3!6k}5J=Ik4bZLB={xe&$BPHSKr-KI4n;2?yn
z&Fd>{0iMrNd~Ijbj=8Dn4RzK-#PHt}VphRO34m#3lLNdXNCe<Dns}jo`j(H*&dNG}
zCJoN=!wC)mUm3v1oYdOP#}Gj`b8{MYaX?2lSfE5uNFQzl*y+%-J8&Xs_XiQg0pI45
z+$YfE!w;QX+5|rSzh?&5JZl@mf%oW3jkk}vX<3G#owh`fKESw6vEbgsUz$0~4JSZ5
zh@jWO7I613YmOCx1V$q0BpfI(UrCTrhQ+w<IB4022Fg8uwT~ca<0x8TbCO|E#;4<l
zvv^8OKg~1viTr`NZ||+Fz!}L$a>YvP^LhkV401<>ezVbdC=&_ib`J0|2e!0Ww`DBU
ztpgaDfEL4;!(5YRCJ;z-)I^3f@Ud`-KH5a;?WsegH+S~K)*fl~Hu-OI+fXL(>QEOE
zbTkOVd$y3rD8v2WpF_s_gZp5?aFhf77zZUBrw~C22H3V}*#0UKpm7C4khcj_2fLh&
z^NgJq?eEs&?*iKvOb?KB1B&^og23D)1mVHJ<n$9kePY9oxzj|DH$@F$L+SL_788Ff
zdcYxyZJSly1~(?EoZ5B|9q$87^lTrPRIc1#Oa85|NBV(~o!p_;UmFzttt4DEC-HyM
z*9})ql-HFOuUYbE@}dRmf`Po(5!wr27P&YjMQ;4${G&$m$Mv7<W}60*<wU!{#xlc*
zcQ`pi1>T-{Hb3V(jMN`_%AdTGpZ*#vqO!Luqcg#Opk1zGQp{RVYBW~Nu0~3Ej;A*@
zW<~zHuNhh;vm^uyns!|~t@rWM<T|?!WiWRy-6YUmXnZ4JF&0U>GsSinwp*y!n#(d{
zc#-WvT%wv)byw-WQ4oCK&=Nct$<jESpYP(MF#9>{>x%s1n$PuHDiLr~`BEHDpMKi5
zY}twT+Ok8PqGzBRch3`vd=!k9k1$-DXi;l4IBEAZ8`>~-Sd1Mj%r{$~b#C28pd_BO
z3i^zjoR3WKirp%;iq(FD%xNIMQMloE=3+yuF}n1G^PN3UF(3GAeY_b2nQUK>)f01t
zjGXIY$eY@t&i_E~`CZwgzj>Auq+a6ZfP8bLpnQ<-dT><d<Kjzs9%b&JHI>E}_o9#e
z+>=T$Qq>Peh_y|CDoPSGOKod;@yWo(-MU!-U4Lx6k(M4`kWqs0)t?dLx{`kT#o0|g
z;e$J_;^s?Wbapd@2vUdlfinStB>-&v3)J02(18X1`SBEVPdT6vFE|Z8J6{Gx3;nr!
zwQHa!)MiA`f(|s^RIrI*`|>Q0>F<Sjf2$Qy0`1hx1z4O#9}z@qgm(m_=Lb!IN7W`0
z&K2TD`XxI4NA)<*=ATt$hi|(*Y*6iRw7SLnR)k&L;>tbAKZf`K_2WDWdLkYokKbxL
z=1Iiq+W;FS2eAnIK0pK|ZB}7cdu=I#WM9>_RLof3Q=M{Rzwv$b6GOK6&}ajkoiOYZ
z!ijS##1#zOo|MszH?Z7Nu#zp@rkj_QBfV{~x0-ybM_XO;w_4YJYqepBGGwH&xA0V`
zAERbcQ&%(DI&ckUzs{jUbzkk^7K<s8wHp$nu!Oa!k5<xL82ENxoMYz%q4Q38&}BKb
zmt>Km9OT{h+i3pN9QlV2ZL?y;?x8Q>Ek0L{aUzdf5+t{3<Iakv`>($gp5NdePg+ku
zfJH%>oAt_Yi?`A4T@6oJ4O+%vW{qtvkQ=vLBidg`diJX0MM>TN6OszgG6+%|P-a&p
z>wLeMuVVB}IEbk$ufEpJ<-tE3J0B0BD<vpS3mU=fL4IiZu5FE#u5KQY>M?iMQ0d7X
z?yT!wSIw>_lTgU7-{ykjMJ1Vtpb;0$(5gKV^yL8B8Hxd)U25YZ_}JnTt<R@zv!Z7V
zCcI`9W_l)>W;d>uI~SRieT=y8K2yV}$VeM-U7np=l&lx}%lZejZPsWaXss5vx?csT
zLjl+TAkVLR<loKHftSz6r63V~ytKHG-M)a`Sg&ukx~-p+#T~w!&2&GSHX4Wrw+5`V
zpqdkV+V-A<>D#ubN`RL1O)K<C)S3Tsv8=+lLijg$>6$N}I}tBqZ6xFelYc1e@`R+V
zeEspW-SbY-lU@yvxERoZf>@^)lnbwh^T%*@rL!i&rGs76F^v5zt%ZeVfRSQz&gqZy
z7EZnu<Igz7W?~M&akh-xAs6v-2qkl0is{_32RCA$&D<@YdLEYeWthT2J*eLs13@8P
z2C)?2?_jPBOExQdp<A%=u1<nXPUtTiF`Wy8s5{g&iQ>=;Cx*Ry;u>G)Hpu5`Fl9w^
zC0%?3jTcHVtoP|WAd0uV#sOv^Wz%LOfTp$`lb%V8em1)yTL%nlr$cdO%H5(LbBath
zWA4vse~MjW%o~x@j1RklR|o0-G8(|h7{j+NkGp13rFnkZ{K=~y$Wg6+H<!JqS7$w5
zj@9ddh4YQI6!C=Yo}BNOo0QpjVuArZV4|7w0i`_o$Cj!{{W?Dh0meTT&+9!X+2CP)
zR@r-!`VPnwNM8qz3Nc>UAMa3v%oWc2^4gU9?=&7MxN=OF3jwB(b?ah&PO+JbY(VnL
zoEOyiJ0<?=cEH8r3rQ<sjeGLTtgKFA=a~&G7?};!LBC%tOY_Xa?sP%-&=NH-!kaT|
z1|kf;B)WXLx!uIFDYM$fb<o$0K0h%|X|vO-wR3ru?J~lbpqRdvJzA8qSvcpeI-LWl
zfcdZ8Hx5?7c+;v(uTx%8(iIgbU?V$o?s>lT;O`CIZykN=Ei>b9@9xu@(p>>IFq5;T
zRRVi1hkuw}t<4((;a|sWIF>nRyoDrO!AE;QygXddDXMlbITKs^i3-iV00{2B1wH;~
z5{&ln{!_20&G~ea%1H=@H!y7>f1n_p+?1i`PTE!4rjKm#o-gUj7fjC!rkD(C&Y24B
z@bPr-wFhQktZOf`vnj=>6zeFATEQF70weit>B5z7npIEoF;3r0kqj<OI%M%_(1WzU
zj#sU<=J6S=y`$owKFgJRTG7DuOo74R2d<L{x|`OIk$Dy1oI1s_WSACXwA=R;QlKYe
zbAMjk+g+v}PY;{p`sO46&q*@7e(s{`5`(UF#LM4T%wN(JNg?CVJzYB@=+pQ2L{NT`
zNntNMl*7Gu7JRp6yq3B}`I?ZwLAmAmSP-RBqRzk>V0|v70>b8D=1n3<mmh9jUNl)8
zSyVFWlRWj#^dp2xZ?p`~+Nfef1VvDy+s<eL`p)p+Kh5e69#+6CN(4k)TO?q3!;2i@
zmZ$DgfC@JRXj=lkg!TdOY9}5#cpOMz698yEklN%u0v=)RL%YuT*%Bg@?Fa;3!qwJ~
zIf>iNeFP}D3m<k$b`7Y38UyIs%e%M-iPV5F>??!L1IlHO=_kAZPO&hE554?7sc`P+
zT#sU!lN;ME`;Zze;NXJT2Zr~HQu<i$5;>ke6V9t053dGVFu$>%H(F*sOAoR|JM>!A
z$2QZdq%GRke|LNG3G+wb4sy3{ZlUxRPmCGJWi653`6Mwa=sexWQYS{ofH&9*hp_^C
zpYRA|TruA&`{HDy^PL;l{aIFcDlvs!-NQ^+j_SysIj->_btE>EFk@fXkf0B9{Em+>
z3g37ZKxPH+hS1_wFmm0nNR#<<cGY2KnQnX&wtrZEI*ZPJp#H^%sw3#qxmA{<ARk$b
zC8t-Y;EPZiofneIe(T24ZM5qa0!`~DuH`8W1JV~um~by|^Imk}Wsoj~|0to4sM})?
z3W#?C)P)Cde9-$#d$K-L2uJlNL)mcMs#B5n#KaKZ2_@6uOPP7LIAyO_ZSU)PxVy#O
zbZ+vH@XHFU+v?EMuIm;<9cg8UZJ|T$;Xy;Eo9xB4$~;{bFVu?6I|47tQz<=cS7{!m
z_ztV0O6#_f#Z4{VdXTKlWP#!6D;VN`E%7nt#++wBsXvb5EJc4BXR9{>b)rv@^KG<m
z`8oe1^;ubUC)d^~+t*OdyNFS2-D|V<*E5~3?}SlvIkVixlD@HM7fM#8d8AFwjg9-X
z-oJaBmvSSEd90@GhfgPJNT<HG1;RM5FhE1{*sw8wy7(LoI-6wceDGL)ve&?!fa5C}
zL{Q_EzI!z;?$sY0@3M<8v-SR56<jPd)VoJcPC@$O(!c7D^a2=ne8y1M?kTBr+X*wv
z=G&zZaUv+?Jr3ZF5A*=d>`rKl=Zg!XIsdrOL(?H7b|PJ8J}C8A$XK(sv)g047cr<m
zXdn+8-Z;#)e6Lb6M~d_IDbP;FR{YQ`c1q);a$WvHLBSVFc~un@O3D91$!_uNTU(3@
zAD(YSdZwttTX6Dw(Qq#^s?O4UUxc?SnLN11mzQI!Szyuj)tuN^vu07zu*p<1Ay9Vz
zaXrsxtJhs)EOMbC=WsXMIff^t%N3A^#;;~H1B;wlS*yCJ`gRtb@`7XA*{nP))7`sZ
zbWXA-JuR*8BIZqB4+PWfDfKJzG?)sKY+V;6Tbz%r<B@QGG2*09nBeuzsH-0Kq<-Y#
z7>ab$kjK;2^edJtv-K@D^3~JFV@g+YrUs>CTHZ+AI<SvdJyU-+ExCn2@2gI@N-m5D
zW$B9SUt4GymvD34=A0CLoRkDU&$50%vM<-^{&J2K_p&@lcLLZIu3*z~NSwDQVZ`%Q
z-S8qA-1$V{HX8c@X?>OUrgn8qXD3OWn4bm<MXi70*5*+w0HXa^2kh~+M=c@$n25hl
z3UDvAi@#Fn%*3898{v7~K0HQl)gX~pE0?-tj%25u2-5kP^Vx=iZfUvy$*I$^*{o^N
z+loifPDQ!1^A$u81f5G@m}*-S_dS7zyN>8?NGpO{h@f|Y0hvV5x&JVq=D4E|G>{0o
zjy+T)Py&koD<Ah0YHI=vsfib;h7Mco9stVyOip6a@D|~S@Nj#>7tat8q^NRhqGBHh
z4Hu3qn(gtG_)yGpszW>cCHL&9e{b;34douUNt34BOdY}0S$r(+#>01v*8{^6vQGjp
z^cJuW*ILQ!)SCuWl-jg3<74A(op$a|9oEewj7(w%hihM!TGky(S#|s9v2V>{wlgL(
z1DH!XYgn`t3!Z<KpzXB`2gG$U%X?Iy(0GtyvE}u1x^A086=N1&2>mbZaiP~$3o<i%
zGc&&%A=NSCD%_5Ym*xzo9$pK4b4*VNvv&1g?a-c50v9`#HIZi){k+YpO!69l1%^w9
zH!Z$S2yHkSTjYhth?d<2-hKtTOXtlxiY@xxJ=ju3*z9E<#pnr_wJ#~L`g`YF4IyW>
zRxI6~=7|VfKHU2#(nQ;QrtW<>fSb|#y!UWY8ZYs&aJi%J<jYATZxQdi@)k~$I)wBO
zcUM8i4nAaL(JcWqA3}&?Yv!ZG2Y)z@Gq~4dY}S5SG^dI7ccbv{X?p&DmUHlb`mTH^
zc8(2`7+vPIhQEyB#c8g_Xt+enlJ7IWeECJ0&V^$_NasVwqa}oT)9Lp(Wl=;)@posc
zL*J^?iXqjUR(HUpfncf$F`5KbTY_*R?miL330}*CF0lZ}xJy4_q#OXHs{e*c3d|Dv
zyP(6aU_1;ku~c6FXQdtgTA1%YDcj<LG>r^0Kz_TRrDR$Gb(^nwRW@^H+otP<SRs8}
zu|-hwN70I%Nj&E*jM;@-0U@Jo@AR-%2)v;NB!LKWbSDo2V-S%_+|XjdIex^Gi!(oF
zuKP0y(vFfGX)0r~CUjA-ZI-+s35;H1q^<g-_nFPcY(;ooqT^VV1|{bQZh4tSBB*A*
z3r33zTombqTr_hsP_J;d;WzLuQj|{7DtXws^GK(Nu(9BIPrhQH$CgTlo{KP?Ue}Tv
zr284Y{jK0FOGbJ~3YWMyowodQX+w$0#q1%L^(?8i0Egah{I(HCS<;i&yy<DyQ(q2#
z+L+vC?sDP_de<+QKoJzvi3V@WA?I0f6+>P10dD2U799e4!x+M})-iQY#&FB-somxK
z$$3k36Z^c~^iejF7-+jY!&<9o8%NJjc(XfCba06#M{j*9#`dXc(tVQTi*D^?f@rZZ
z@Y9LCW?i&L4Ilrc%Di74#C@+V4eLG!3YK+<0qv$?o6u2hjM{c3J;>a^Ghkk+#HK%0
zGBMSf`dVG;jOhLO`sTO5mv7H$-02$V-JV+Hsl|Y!5O;aedRpeGVBArq1K)EjY@6+w
zHUYc!+~ynl6m=8@Cl5z{(`~mHiJDSnKIv|{D=}xdWB1)(KKlZKx6by}N8J`x>3AO~
zwS_gOHeQoE?1S{fiR$>C>#B1kHUS6+4C^8ylE7=d*60_yZ$0V#=EjfpMk@_-`#4hF
zldB6nW-ogc5V3f*@rSs9^N0@ED<2b+IqupITUnyxs8`~($quw`Va<7@0nb2(<>ivv
zbt6#MOz^$WoY~cAX^-_*kDvErL)nUzF&V=Y*{Y{^af$?%opRK`lv~YOO>CG$k<(cF
zyi5IOiZcVCMTSt>Rld-h>Ao+ajxF@PJbaDAyI!+KT^wa54*I&mkAC*7&LlRk&3kQs
zU2+h3_643yxJ&`AX^Rs8?}@?K*TK_Lyocgab+KvO3a)UYvzqfiLuAonj+VI-bn)e(
z!_QWJYLa6PPHRZk8X?<(3)_(UV+PwYmg4kA%^blAZO<JC>^<Zk#JsHRUEu@VbxIsZ
zd}<)oFUpkgC>2rRcd$?NUA?thsj4ckTrH$R>z|;+Uoqe<F}4rZ_kL<FC^`xGu(}kK
zDz0V{^!ra%UdXM%zx#_T8QGnR;HXiL@M@TcnD~Q9F`*gfQMNcE*Yh+KN17z97{i~Q
zdV%iY+qJggusXUlBsDLSOL}4CVLU@cg{w^Lu_P$-kG?^*%R)CR{jBH|^eGB)^@Mv4
z$fL8DGPY+IE*yT{1789d#~@w>Q0#>Pg!rSXO~Y-#8vA!I9@SHYv)yPYR>2v1!Ung6
z^POde9Cf#ya?60vXiVY5zgpmbwZ{MXo?N&-SNB>!v@nSUZ{0{`dRlJe6mq$K{IMgu
z#pJfi0n@Xt^-YUfHKUPhhYwUnE?H|_Qor@^fWLWtxLC)ng1y`q;;_1eKWsA|Uo#dE
z-5X!8-X=J<sXw<x$8B87J4>|46c}RAD)~x*U@zu0n(#9CaBAOFdydTGDcv&nfMj8d
zPVZL^L>{VX4Y4p&U!sP+YTK0z4a47yh)I}3i4~ccSwD`CP`mP_SZq{J+nQ_JQo}#3
z>m3nPts;oSw!fx9TnS;O``+{%fS(Zsh_`+*8xWcx&tVZW@W|n*Z%z85(v>KCl9RM{
zxN$}L^yh&_+vO9^$%$fLT|6MzDxPQjdoB;a4hS%1;ZE^m?N%(G;74!ozZmX)X)^st
zs%fo{H(I#KIbv^A?9|+K^)^N;-yGs$W}H9tq}~#04KuW85WW0@Z;1z$`nkZ`r9*VU
z_36n<T85w$Y`%xUU+X2w<&?fvaNf77nM`=}kmd#eh>M4v+}C6vKNi^;s6OL0xFVjl
zs;bUxYVhzcw%^}p^`C4&(+b4zW}#`tFN=UeXwg0Vgua^_(uFt~WE^;&JsVurllv~)
z{6?W5eY1)|M}-3lvbBxejUw<vE^=#Hp;sC&U)po#;hqp4Th6*XBIx*D_vH^J;~>>j
zW4sI+5#=TwJAYC5)G2jt1Iv8F!cxm)Z{XIkfYKgYoJn5-0qiG+M2?LaPS6e>VS;n!
z=Jn!cbuiE&z37zcq<uSP5<7Jq_rfeSa*#k7rj?*aj<mAU^f>L8;O>{amf-Kt9{p%F
zxjSQ}fe4D6ucini@cN~S2a5pG$YkzPeKo9`Bcq-OvWqG<e0`jE{GgO!Z!s)p`=Bk_
zhHWy4F6(;D<d!{p(ekYD^!B|h!-5;Wvd<{jRF!zd(s9sJbw4K5le!a?*fKcwUF=Z8
z=r#=_gjHlP-ts&GlsS;}!jUWsGR4#$i(&}*R;HUz4X=lG$_W>WIq^UZM5d_rs^|w*
zZ0P6>Z2F*fJRct_=hh_kTxA=$v&=>+)xi~J<G{MDh~BVerKhJ2kn(h+&2F~uNy{Qp
zF`ZUfA<z$Gtkwp6<fBRHD+dK3b3!`6bU`<saA;I62202n$}y@tph~|aEh(Foe5T08
zmyU$+g$xncanY{1oKv-yv__f`i2;i-87kLW%CvI~*jJao@MY|O*Lyr0G6|!(c6jVn
zh~fG}?K$>}H?#GmlpgHR{TbM&eE!_(IgYgu(I6kRL&p#4{vb$6c_B9CO^p^}&_C*Y
z!UR_qi8Kk!?o<xPk3i0STv*={9<MpmF!BiY4OZ0i_m-ExsjX-~eXk?>3y20|fLA=r
zP!dP)n>SBPu9{;ml|Fy^v~>!ltYfXARX${v>!izU)O&kj!6Dxq00p+$7bF>QU?a>Q
z3ZoW|0Zu*NW>3yCFJfjfn?`s=-01>5`sk>RL!!u3zd8yco_X+O&Ruks@m!G9Jr%6f
z=nMH^UhE%ex<r(sp0-B0uf5%K?2Pz@eZy4O8<WpwUL{#nO68J+LO~s%7;IpyS3_Mg
z1#eT*h3j0;G{gp_-KU=;zc-=2;K42^Hoc!?oPH95$F6Qd6y&#7zyhs)(|H*fo8sF%
z_L5th3k?L;bzb_p(IuR_&UKkGu#>ygU9+jQjgYmI$-~voHv0J>ol4BlPj`dV?VX<@
z-`(vv_xL(r;hhklmBtfMvM+c`B1q&W`jpU~4kv`44_Nl+jfF0)gz!Rv{R61i*>J00
zwdoi!ksh0?qj;8V>rIPq)8<Z-rH$sW`dc8nrIa{*@>-S^B8U#^NKX-@Ke0So6F8M-
zs5Nb0*HrJvqxF(3Ac9QbwI5uqp&{n`oc3zc!w8vcd-ClD8+rit=+6^-YJ^up1ZmU7
zlb5Z_bhqlYbPp@2DxL_was_7wEQ9<hez(h-!+ys+|6M8cA4#XbeSewc<vCJ%eJ96k
zI_MqMJZHp-llyD~>vggz2o1$>1(ah=EFAzuly$XQY;xR%q6nMb1mjV%*R=lcWItYg
zXOHE{N;E!lZq?MYAIvpsTd7exT8u~?^HcVYx*uCkw<4}*P4TUYl~Ez_=&gtKVauTD
zv$9WLs=B+bu6fcbm?ito$um5T?=aC|KgW|Dv#+)wZiif|XAPlkbUNsqbMXsVj*bc_
z<IZJU%O+`uyUAwU=d8A5;=HF6KUJQ1FXuCiJji4eZ|*rAG%}F4DYc|sI7eGSd9XFt
z9Dr~&*I^8+NqUnjs;CVRtFL9C&J6nfGBK$~W`esfvh8e-*LhZneBB6EWhqtv<0E^8
zx!6bPthhy$0Th^8vu+~Is+!`}`?|rfF=bk3KWGnjdZwj0N&8`uhKEqzA|3c6OPd*w
z7`n<Yf-*10{~CPz!(iwNS?$Y%TN}!yZ^w$&ZBiP6xCYIJOCC7A6EWV-lU3}_o8<mV
ziA7<ts5fW*%*e<wK2)7p36n8@KKFa4S!<xzCf9TRE%FOkvu)1cW1&jGIClViw4+~2
zn=q;Q<?EB!Z#h%qOL5&=oH&hJ6--zFi%PcSJ&W)fI=dFr;?qzmZ6B3?)!;)|u*v4=
zkxZe?J?DE@j&BYEVL>98)iV%^2m;6RqEm4DgclxASZ~XXnB(0oE6p<s<5R$h_>vWg
za00>{q6pv>e;8hnpai(WxNKK3xdcWi4|JGLavz5%Fwn$G2oS<b&H&JGNo}(Rh|lPT
z^6o1Q{UwtnQumv!(OACglL=R0!J<D7%1;tdvZ+)If>MfCE-XAQ?jvt{=I{Dc+}26y
z?uNu@ZQHpxu}2S0luF*%t-uKmU!iQ}&ESt~3a}1XWC(Yd1qK{F39YNtUw@FYq}=`8
z|D2m3$<V-b;aR2<HE$$A)~`!#;=Q*bjD9WM4dyPr*+i+IHj@S523ONM=PThcN(^P2
zjj55C59Za4lWx;HI}W4BWOKFyqsy*6_aA^DAP?)_+EbOy<V~!N&@h3|#&Pb-B{E3c
zxL(|I@e{JQ4)F=YU6rdWI~gJaDk7~7qXb4gWcb=t${oNA{ovs!0Qvm7wO~c7FDF#1
zuaITaw)QZ-Ei}j&9chd{Z1%CpV@>m^l&K1rq^g_#>M?#^5K*>nTP+u{6+%0YBV9qQ
z>L(heTFz{n*b!1Z0<T4wHi%U0i?MQ{11C+x+n&UJZg$DRrSyi#wqj~dSejE$jLW}O
zb<wusre$9j2`YtKaz+i2jlNKVbgS@;A_!D{=g|?;Eq-P0-$q{uo<gv%G<|j&L=t;j
z65GKwD=*>Sa{P4mhKva_>E9_=-_0;EyzXsE*e#X;f>o->tenC+>v`nHg>i0@2z>y1
zc`(B_Aa)$hn%U%=DtKW=Dy|6C`l4y<lAeO4i(#FFomAg7gTz^n7q_w5^lw5W*IRj;
zh9T{V5f-#{`6bR;_X>SVIFzsQ&(MrEtPTp@1N9%%-@7>+WPoE@lw=4p!UaN++ope5
zf@z)fsG%-}Sp*Nd4|q6=(~^D2A|H@eSP6_=7x@HzWb2I$ti$~lm(wY_x74~GSK0@Y
z-F~i;vCG3XF!SwVL=Xe6S`8BsxhOVI=ht?(>XdAQp}kt&|B^Ppnf8UB$r^wwN(Xd2
z&<AEX1T*?Y%pf7LUfc2#UPG76x}eVsZu8f+)O*jpg4^wbR1Yc!upJ^DHu7kbeB_$p
zkUmU(($!w}3v;uI6}Jb%ja>PrO(-y4DoG`Nn%$`Zb4`IoxZG~m*diOhx6JC#(kMZ3
z-6Utz+4`i#phvYzVyB9;ny4uy%|$5dtRL!3dR@Bo){eL#rR&4jBv<YmY8+9%cWV;|
z0Xi;>Zr#Fk>oR&@zbaHzhT0{Q@r3$aJ7aL(5L56@!;^)RmDVp~?rxmz*!pBfiG+;g
zN@d^U+px)IMaWsg1mAECH>7tup>#o+9#~hE=$~~PB~_Yy$wL0V_9N`77c_3cKUO>)
zMRi&lL@oLasyUu!$2}7zTcF3?YnA*#7;3$Ms{_VTLTFq@q$Wa7C_8a0o@?gz6HZ@u
z&X<B*Pg>I2EshdYxCrC2b0ml$%jc+B0rOG4liDT6a#zuPZK@jjw4(<PR?B_lc&mET
zJkVlYZ8QlDKG(cVY8`i9iLGcax%QggVxKudm>1#MtH(oR*KHX&4c<#Wy=Kw#G?ZR^
zJenLe`~0-)Sf5<;cWDj(9b10$3%fUs2pOxYT^{Oc;ki#=IEPCe|4xalyB3#y`j`x7
z+JMNyd*Yx)cr~=njAM0=E8OYm^@fF4N`~fYw;$cJ5JPIRz5o!i&GE4wMPD1GOdy+~
zxN7bG1AFz3>oR$#DG9Rx@OVI<@O<r4kRV1CLzm-~$z7J|CP^VIb4b>Jh0CMUUbc$j
zHc>ob6?omc5wCAIyVmy1f2^}Yz%Va6NBrcqFfx~hzR^Zo7W_>NeNP(+Zmcs)I`u23
zxcaoRthI8qS1e9<iT=Yru$yFDA$=#2fIElOiRUUh)DMbWe!JWRj^T&guoZf2#92eO
z68Zf6x%%>uP%~X-tn8lU7onGnCJDDa*|pf@k68A$ce~sZcy6L=3%kw&z;tFf3)uwD
za+^`i+y?60gLcZn2UiqtD;>cL4_Z`|MebHtMylx5T)E&-F`-YfCQ7!v8!;!3OG55m
z#NVw&*LP9kE%N~%>%*dYY?xmJwLtUdug7kAn9aG?H|UDol8r|0+R55HT57|j=i;HW
z;$Nap{9{1woz3(AdnE=izu8(PYvn9x`>l?XDh|XD{58_0N&W@X-{l!K%KJw18xz0P
zy`}uVEO1Z;r@*)J*2OjpeI$Zf%@WsbTpOeiw$9)aU0Zz8Sm1EI!!aC3KEZ5YlQj4M
zSKpxkiI?7YDYlGQx}nED!+(A0VplrK)EFb#S^D|oL^BY{>u26-JkIx`wkK7=zobFp
zGvS&j+iH10{$+NS8fWPS`w~K(OuR<gwOVy+Nt3F{t(>M$jWK)E>NLrn$Ty)k<av6_
z5$`u(^l&^URJL-#OKaNc?op#!-H(cQ$>uM?-rpgWi}_wEthkh1T-NHAYQdPy!_4U?
zxx6VV%Ek~nsqgobaG@ku1D>lH9|t7dKUj$<-8)oh6wRrW`o)d%7xeyC{6pK$5b?14
z5lT)cVU+HiIlZ$iiQ@~V?vuqX3RVh}Y0vF$o&CgAG0l2PCGCibb#VMluXy9Sdp$ir
z#h=v!>fPtD707F6^~|QXG*a8SB>;}ty=k*m{&TG;CuU3fuk9+u{;rNR|MpE?h!p-o
zB$77b!*ki_lFd6<(>UQYM~BDLBm*Enu8B^@Vj;@XI;+c9lMP}fvZB?4#)u%=ay!6P
zBoa#mp#ed(sEL=YO+2H_k_6(F)rg>YpI|ixe4)d*2k+Nl@&8HzUj1&UXs{+wXms54
z8yG!32|nQWYa@cr(-UMiVHZ?HC3|e?hl)G$oD~#u-%X0&`_aC1@*>d0`+9A$X1Yh!
zjpFcf9i_4Oq$zEv3v(xHL$r{xfCEV)QdfDqrI^$S^(rgNE_`U!mLtdur-$5)Bv2uO
z)KR+(^Ul0Xhvq9PJgFlCRv)s|YxH|_71jJ7WIXWY|I}=WoWJOI)JI^c!W@MuS)=Zc
zHA^x56b|EZggJRqi3?U~gumc=(Y<s~q4wsqg7aO4z&`(5LCCHEDOlktYu%ChtD8Mi
zHaT*%iC<f9Vd%SuXmFa?2U#=7S0@SY5DJZJX%{ziO!gs}J4(fiNf1p#t7lq^p_<Zd
z3_)TPTWO1Jk&TFOw~FKe)4+JJSxu_my5}F~`h=y9>OTpd>Qns4Ir;I^pA;nk#_!F^
zg;+ZW;3SREk5AmUx>)<fTy>U11f=Vxv&Sv&DK$upUb)<>vYWakwHb5D+BwfCEy=Xj
zXjD*NP>>(&#7qP|W;Hl2`Tnx9TK>zB4roJV)^+um*D>}x5tJ3!yZbd$c~G{v)ya^V
za1h5FQj3OdQ!h~ShFW-M<?|H7H=vA%+}aW-%$1kn`JbNjPUVvgBwSa$C8D&_qK2Z&
zP>~H8RS<bm>(VcTu7DwHCo5d}QmFiIe$jUmD2WR@WF|S-fG{Uf8UEoI^~L+a{ls$F
zxxKk9rgNA<R(LA1^4PQ^;3%dRO65Wj$6d~MPLoZ)+bURHIp)T)FP@))5lrN$f2t^}
zOfFW5i!PWZd}&n}sR$Ah>Q=C6$=#5e{n0OcAa_yFl_uLq-v8!i(rw;{Lfg$L?@avC
zA5LCh_=LY2fD^Dnha<Y+Q@|nyb4YKStl?HrM|v&e?lyO0--*0eTGLr9=xo1mn$Tx<
zY8v5sXxO%SZF19nLhjKE8BuuRqqEv($5vYOQDTJ(S6K*X;;#N#vD=%u<0_JxGRsf;
zm25)Qp*PM4K)S%wWZl#7p8i%|+<xb4oSo_C>eG;PR|%Ej6t(@w@<U%21Q->(0AMxf
zzilJ`!vjVC8{CO_9rC>`5M_IokPah6h#}Vg^+3zt54QZ*KFh!~OuX2)4Vx@KBYAhZ
zyN)N9A2_kqV>IgNJXYSVP;W1nz{X8sQ9*Bu2AW)UW1;Dq>dFsgmZ5#Xc>n;a%YGjI
zCtUlS=Q=JpAJ<{xlvFOGm3GE!RI6g$EmFtjsd*|AmeMCPHe$?vtEuNL@Rs}S8ek~d
z`RUwAqjEsa%Cla;G<J9&K1D*<*Y82&sw^vYVU(LmT2yRWe}wI`tV^4;j!L3p@bSTU
zwmrPV`w*Np5Z!gB0^lYuA`<_aXpx8sIsm-i7`g!H050oMh~hdHacMI+d(-El9)Az^
zeK~z<coe8|>qY>gAS@|qv}EJNxUM08cKs+R+SM(`@v+*h*+r<Dm1f5-!`#Lth1STD
zFZSaHoV`{4nN|C}Hy91U)6;s41{qe_<*pq?UnTTS>Q+A*sIz?kw@98pBYIf+{9^C9
z(``DTboB<PUG?s;^__H6MD~^J*jdL5h<aabzv#y|DdSX9S#Mkt{Qicix(lri!l+I+
z)+yOB<MEA*iOjBXQ^{cTqE_=~|J?npyyvO16|CTQGL{6E5WokcN(&(nK>&AVGTTR8
zN}$360hvtxK8oC3;|8AtViwzwrt3gt%EfUYfO`)JO_81oVKXm#`e?jX=nYxT@j%Bm
zUOG^R2-@ETjLR3SX?8U^4epWY`P(~DuHKsTCFWWWK0nNY==)>&8`J0Bs+(MJDR$Zy
z1E$&{ZclPLk)Zt)ie(=IA5>jEjNX3O2-2f@PBN_ZvGN#^LijaO2Y_VHL$+dhkM{uJ
zvP~B_(eN0Etr>dTc6MTmF7+~M;+`@(<?kZ|0dB<IQNYUMow@|xUk2QcA!+!lv&`1v
zzdhG_bSbrp+U(-RyfR19(7CtDe`diHL@p%8>tS^7V+!L`c+C8&4H7)lulAQ&p26<b
zQ-pCneI}@^yQnO`U<$Xz#V%4rHXEN61<BAyDJcg&4m;(T+oLS})W|-&Uq@EF*Z_CU
zd7YS&efAcwSrNp8d1F!iW7==NTZJ#Jdqj=-RfmhzXD3wDCpJM+mPEdc^wCKIC;krZ
zaIx+D&?1C>#?QUWhD&>;K`kIfH_!`RMf&k(Et#v^vjD`{fj&haVxBVOs<Z8R0o+wD
z7cH;lrU)q%w66EjB`K?GGePjS<}Io*u5_%c7}gq17gnxTzJB7}%`whU(&LNm*D@?&
z<_@pJay@Esivb-Q^@i}`W*6Hc6#Ba2p<RtOrA4+)w_C5s>6h0}B~ZK@j=P>Be~WsI
zr42<N4s6muj9h2dEp&XGji9bFl^3@~$BxOB)p%`tFNfpjO>Uk6WVRXxw|Osbz^Z-Y
zn++&p@Bx!p3*T;9HR~|*(VF85vOZU4(aJuWgtjY>m;~eE($~G)B6x1%P8Vav)q1md
zBfB`rlk#jVEG=tM5a}b|3o(yX%=!3_gM5!m*MT_9#et!)HWs`sy1o-kC8NjxwNHEG
zkXob_L)omM`$5bpsoSGh<=Ixr{Uy8fldpQ$RFNxV<&j@g3+DJBIj$_Z>Y$+afu{<7
z-=R~i9bo#&X#{~$@5%wTA?hbQ^_-9#@`SfBq;_q3zOy{!6k85(Z~ho2<fi!Lt(Dhb
z&xPKp29bITtlGHDIA;G(f@l7s^(p-mU}*E3hw3-H^B=sN^!Lbuzor`+v}!RZu&T#n
zCW<BsB8bFV$g}l|@O*a&cg6#X&r)(@b{u=vBK<ln;8X*=g>5k+!Zan(3poBlh%^RR
za)~DZbp485`tvl|fx}wmoj7`G?7fCAs$+GJl&*dayGRfjgnn)D{Ja~h;FZ=&(V9+k
zR?=O*C8VL{_(N`wygpY<XO;)%-@<NTvUZ@zAtu+AKB#hexXfFWP1;oIT5O_+g>kHj
z&l7R;DS$a>0nVGh#K8W`Jq52TFBa16KcdaxY%=#`Y%IV|Fyv9wg=M@B%mJerDM?TE
zEqMmKTLH!DY>1_XE<aCnIL;%26qC3mLIFor&d@)FG{Ds`a&ZUl6l&)hzwMdzDYC?8
zFnvyd+;$lP{|4xdC}|^Ud3#3GE>+rbA3UpcoV=qk8gRg0S-u_o0V}(*9^6K19~jt_
zafAo@0ie_!0OJV);|z!(>MkJY=HNOYvFGUtEF$<Tw&#H7ZNT$jK=J^mYJU5|#uN`6
z?;C5wzw0}ivyJBcUstI4_xixW%eW-K7(}B1KPTWYJ?aA3q?ZCk>;as`Y``~nRva(2
z#Ka~5yLY=x5@*;-1vpYe<_V`z!qxf%FwJ@v<EP|#tx8?91lzB7LhNuU*32qxLxhq3
zf#pDgkmj`QTx|kH7q|u%CR6UV`p5V#0H*%D@s7|}p)uL&Mn{sMO_~QpT|Q2C?+JEC
zT{~F`E5Ol-QCnYKw{TVKX8j<TFiW9sERy^@V<AE8yOIYw5XHOAEi;iA`#p1Em%1#T
z>)BKn*U78ORd%KuFiC;a&jOS6hw}_LBdq^$vm|=Px@w%Weg8)b9J@Wfr^OKF@VJ5w
zeNTHfYhwKa*W1Ev0~9@-A3f^kCht_^Ts^YfS~^(eq+hFkT<~pO?>)L3c`rJi-Jo^W
z!}y{kJ9&9<U<fYKH{aQUB04AY{I~Lk=&cI7@Vp-$9fm$d-yt&lbJYvv6E*NCz}hL>
zmXHWxUk@lxh1)TT-O76WR<J?p=JL<STAtcixB+embtZ|;#`JYrlXcuw$-B1PFz&7R
zCO*_$^0kgwvI@q2CNTgs(u6z3=<4AN+t>;S11X&v*vn_3b@R=#p5H%R%emL|(%bI)
zb$XU{AkZ)qWy=g;B1BM_5((7aPJHgo$;3|nbNb9>)i(?!#f#S-8)bOGVczahmwekQ
zm%vozx#^IoC~Tu9mNj+G<BDIxo>y-NN43Lri}YD6HUzhd+;;CidNgpS75#eTUiQXa
z1FJtCTxLt$rThVeZ?rv`k3CuK&cn1uqdvH}KpAmr7Owp3+xN?SMFmXE$9Y~Rz5_3?
zG%doX6_N8@t~UER7>cOmF~jQn$*55=r@~}G@1GR|98%N?zFyql{0q0jXeXOc^Ko->
zvMH911U?L7{8jDO#SL`{HwLa#;LHYZ6G2|1W;oBuBWx@V>F-_8r`Q_ra6#{yVpW?R
zyS~<8HXRXk@2r?`X=Az~t#I0}ifU!Nlhd4W&RuALrsTcPQ<FY)HK_ta`r!jrP}u80
zMCWv0_{XZV$fqF#`Pbx1QM#)<#;sH2GM1kTU&5N=0w1+5jP9R(aLQ`caRBecfNKAh
z2~i~d_reWWki4~S<>duQNLLEINn!LPtYTy2$NZ+rR;*C7y%|!Mlthpu!}L0=(z;k3
zjQ*??G{yd9{NpMSba|L!Yy$9BaT6{(+mN8c>#>Y#l2P6+YtrA89hMojsRrW|!;S3{
za2sN+qh%WJ^QWew^FCif=iPC-XQNj_zM|aUtLIn0twy@u)o#Q8IqA{Z0i0pFcC21&
zq$~STAnjl-Ci{W{YcxS1NDLQ^{3g&hO@N_-sk<X|{oKpTRC=-XS(Z8iGc89I3@_xl
zHCeW@WNH!cAelh=2>0!SZ%!$fj!b<BL5_3zauQG}8yU=ueia7R?f%MwJjI`OF8|Ue
z@5mTo+PVqXC**1g-EY~CSawo5=3phYol`a)UXw%1gO^`R#kX*B(}IHHG1R?85HFqz
zHBXCko9}JqM##)QdcfGrOaJN$C0HqL&SM%xQEzbqge6+O`c!9GZ!XcTBkaXy5=7fg
z*Ch{!5y+et`{r2*m+`k-&-N|n0GGB?B>1Wt+wm8k{L-};5Sl)e_oC8GBoGr4?GsQR
zB|R&<NnjG!!^f89#iOkrEM%Zs5ckHnWnypbY`HyZu6=DU{IV;T{*hRF2u;v6G&J@Q
z9PN8DA5qg{as(9ARvGbiPF4XzH3hxkL8D%Q+~l2N+zO+doVOwvDKGMiVo6^}{O-*9
zucS?77T;AmIC+n4jYalz-|RcANUdzPrG$0W$7pD<v<Xw3m}b7~f>9ZZZ_R&mZe#X(
zI4|ya@<IB(tY`E#-)pW&b@##h6Z5QtDH^oqKY);okG}|SO%GCQ%K@6wMtSDkD?5}O
zEJDmA%eE9UVY!<Mfabnqki4kzdgxr-^{Orbch2CHfGcogxGXN370=%)gKmrC*XQ5=
zpf%3PMJd87zzbEl#R}dw%_C(arBmItW+@jgk!XY2?jL`cs7X)XJU%3Xq#Sc%R<HjR
zaQgfGt)W;s@Ko!?V2B{C%Hz*pGk7+EU=-6w34*uVml$3<Cq_vtx-&WgCodN4T%Uck
zy3*0BN_d-u-nR_4>>BCvgrXik3hDO(ua`XQ!|)*(-PlsIMs?;&j_@3(aadUK*oZpI
zw4*<GTiI2)ud|qgQt0!kO8&#={GH)HG`R=ewqN#lhC(k?0$`QU0_2zo0>Hu!K<mM)
z2ZRHI0`T%t8$d$CPKWTU5F)4>5aIu~GTt`@*JyTaei?i|YxRwNqsl4e)0tt5NepPO
z2<(^`Ir-_@^;xSP#`up+cQZiBQdJ*ZPgU`X)z=<mp&0uF`|<}H@X0MUKz5JQ+js?5
zup<*>^<W=bwK99WRcJ*Ro~L)W+uM<FbGX;^cueHsNq#^rFani?kyes$Qq4f0s9P5r
zpDxhjJri+`yCiN;PF?3#HlWoG{eK<|886DF2Mq9tI5deK>}lf^!X5h*2WU1|{%HhF
zi-4b4u>I#@<o#`=|6BQ}?H8?YqQKh>3#Z%E+orMsA&Eu#gL@YJjJ@B7x7h8uG7I<M
z0e?A>je$&$b|DWDo&6%XL~p2Tj-{1gQoO7k*Pb5!Y93unu-LNGH5Eq3XX~a4+mSs`
z`nATmXqJk6|5BLX4!faG1D{>i+k>NR<9z35POX<Pt_klw;Ff+aM!K6V!av=da;ERU
zF5JB?cu_0@7k+By7l>jFeS)5Rxp3xdG3otIFXxAi6Qd?G&1T$}?@hOjZu1(fO`<K<
zu-7fVj9K)Zb7D@Ic|R<AL3>B5PsX-;j%^fg_i@(oWa3Rg#0Re?;rcX1GY91ct|J!P
z_Gu*o585Uy|7YE4tRkiOlKjwMB>=COEQ6l$km48?pb-HX>4}jwGBs^}gJ7prl=-Zk
zU{K8CC)2mMF03mlFSM|BR&CsHGNF2M64#4bE3Njg;wkgI2L>XvUr6Dl09Cgm)yTrJ
zj$s|UfA5G<@Nwp-)PPjKQu+^IK>zu;`9B9i{D;Bmf9C@K?q^|XxA5rB>$osZ51jGW
z$3=qC;|CAa9SoJw9y>9y)pv7|t2Z1i{6$2*+=dL3Sjfa9S!X}q{@kJAh0lnYD!cBv
z+GUjH2mdl!RjVy23m_=o?*MD!7ZZl-sGFXap4CtB{%F-D^PEA6d$Kxt(yq80#dt9}
zq-1nrbP&74>cEQgB^Rt^a~uOdV_OkB-lZCT6OGLR{A>-SQyO=sa522w%+^0hy)Ijk
z5Y~<Q%DvR)3Pn}Y;fRwxxyTj@y6HdflyCeQANTLVX%&Y19cc_3^}dbw@=lzZE*Hk%
zzfnzt|9K!HA~P{!em|e1Ze>k4<>yixk^@6=Mw1Mk2i!Opz`vw69m_(>>2`OaD-eEp
zNt{NrD)4g;g0Q1?XlLRtsm5v1lN!agKjZj41(E>=u}e4a!42)dK_jBSCdJBg5=+&Z
zPUnv!|NlDwzc8Mqv=o+g%`w`Ch|l3>m!i7Kk?Ypt%qHl9;!??PZG(Abz&3Eaxsn)V
z;Sh7cOK$1sY#Rrg$`YQCIg*{OYG=<0?=_rF8w7rT>9~46|Cz#3Cp2b`b!1n@a%lP?
z<MgC#su6egwcG5sc-)1{2ngHiv@YB2Qt+kub&ITgl%AbojNq8`dS~tC)=Z5XpJ?Y&
z2DS{)$Oh)faLUMU^gaFPAtS_gtG3JscK2kHF_c)tyNWICnuUu^O{f<ty=d=M;6zQ0
zF1%I-lm3;8cA#QR*3PIop?me#QF+XFAlyBE=Vif9r<WQZ#A_f=FFv4*34KBL^HGiC
z-}e>S7qEkE3r3RArw52@HI~i8{h^LT=1mTje2m0gSEofpJq2D^AtktA5;Z5?@A0-f
z`O23Q(|l-WFv|8s#A1j*ZVo`38_TJ}46f3E@M4E1&2Vv>_h{eRJX?c*%UovZfbrtq
z(7+-szK|84+5@;LPen>6L8KOAk}gp`flSiYE?;I#W<3{LrmRX)NWo=%r$r%o*|aU)
zWnU}(okdOVkeJNU*y+}6e2i#LBi-%4#18$PivRF4Pr62*0*n-%ZhXT<SXoEFhE5Qw
zRy$!)L2Bh)DXB^JedBf~rs_6sRz%R$xUB}_=d^+cZ?}63Yyp`00L|;aYoDg6L4I$W
z!A{8eOCOCngtK{;XL4q4ovji=-)?xnMU|7z_o#4>OMl3pb@!!;?p5TNeDg;5!;gP?
zAJa5vu-3AF_*(PMm5EL~8^#P{`tn+Le5Tr6>Vo+SO0nmRqOYG5Mr3C1f0tnN2&T%g
z5=5N<s;K_$-}~{uOp`3ZYDBtR-FpMvqRaj6&%l^*K4@FB9v`h3yHIxe0@clJn_xID
zZ4r@pAcd@4(39&b*aKHPbL1g5uWH17_KBwuDeiS~z}6+NnuK-Ou%r`KHPJh5rR4?1
zMHW9Px$UOAh4-$@T?Ah}wu79dHeV^R4RRdWQPL~@vB5*zsO_~5Gya)k(a-QXG2pda
z$X3o0Pr(bYdb9Y)!iXT5d?$v6q-(B^>gb@cj{r0`rhL(z!wF2^EaMM%@#TFoR(@Mz
z!R?VYiLs`qHt0eu^4m{e;P;mBG9JuNM3=@~-`j}@sYd$^LCgJpx8($8ZSc27mv5hV
zBcjXiE+kMHC%xhACd27dsH0c0QRu$zL<Vm1Npa1)6Vv345s3RWE<RZoHNSsojJxPE
zCgJv|x<1+erzVZFd1eBLti{iEn;Be*_dr99s^aa&>7(@CzcpRCUYqy-koVqUO>NuS
zIEsiOh|-G?6cnWhQbcM{nt*g6NQ;U{6Y0GKL3#%PMJZCHMx?hy=|y@|kP<+8NvMH@
z_?w=4_c>>~_r3R=^PT7UJ>UKQVX;<{HP@PJ%{j+-$2;CZNM6$O8<(0`4<v|r^msE_
zyjr`Xl>AO_lr#16QCqFCjgQGj-;3ky)Y$oJNL_XXU5~pg#a^{CnT4eBk23@VH`|jD
z_c*T@PiRc1BuW<H0~<*YG~StRoIQ#)79jjrpYcph1Tx<ExHN+57<ifi+}IL3Wx?Da
zo>0X5yNrh?GHCgK&&D6^{6R)dRK=;N<0zZkWw@ss=*<QY7~vssH9M{434XX5w-fMZ
zD=7!+jeA}#>tS}+8y?u_+C<i*jEqe8vO(ktFlZu~EiBD;cMzoRaI}R9GIZrEUqz2O
zJ|eA<AJvDX`Kmu|IQ^Q(TI@;m+x}pxxLBnJ2I=KS(&8YfGI*=1G@-WMEXo}|Quw(o
zrq%0QX<<pBjlMtEepZ|&SUu5-fOeOIJR~ySCCXqi(9IJdLV?oYCGw+bfIWO+YEwL&
zpk+n6H1cUL8AGx_<JGsd4ycR(AovMr>KyPMQV1e8rVG-sB}5630~LX2?+0uBMiXND
zL=`a#vL>5_4|?zWeNSi$q+~Y2GZB5dqa+eA288;di&t!akRd4U0wm8JgFZNBOj3@)
z!~EF6B`KljtbUMLuR)px12=?f5U=b>bcgh$fF$%DR=<$rX_KB)QgZA!Vb%*0l#Gdg
z*WyEuDopDuyX<evUV<5eJ9RhAjPI>|V0U1p^1azgJCdv0eA8JhwSH=!k>vrO>P<CO
z)ROT+{*;a(ie{uOwEkM&)H?O1O64tDTs}ZD@mTQ+Q-}CBcauJ2-f&1(tGi}^K$qh0
z+|yr;w0_4t{Fn81=Dr}UTQHs<WKv7EZ*YmI_9r_RF{_sMSY}E0*1;{x+d8iS;?vfo
z5MdRT806PlY$MVSf90i4qO#Q2?>(X6Rt4BUN1M0rs=88#oZ`E-O--Y2mTA4}EH;8s
zV$eJD%N%rMUhc@?L#$=<6tmU4A7piaqS&5HN>SxOxswKwnn*ExB)bwmXu84WdVAyt
z>p_Y8@ehI#jF40>Qy2Zc8p{bkBlh9FV!4&gKH!1>x%>O4hVS1+1OB_uWoUQnaGcMw
z@bIP)xvK+D?0tCiZQ^deGh3#665Zi&JAo^hl8bu!S(<Gk&K}SZwK#1Q^y_ixAl(^n
zkK#OAIQ`8tH9=<?>EwC#{SEt^mrVV_W}p<LA@J}keAQdbSVb3W4GNvDc3~n+0)1yB
zqOx6k)q1cht7Ta3Hb2__dX*eJ)v(K&?tpZcBY$TJw<~oGJN|~)k&P5Z0|)EtI!p7{
z-`_rK_xTPh^#kSZY*&_68pkO%62}Bl6$|^~($ze;Qz-q;l}2h=tA?Z5E^)$Na{v&y
z6ih3kUa(n2HKdk5<hS)0xtztp$Z((b;}N|+$^g7HCb=0&Pn7TXQNUd%DB5Zqm$=Tv
z#(&#DJs=n=yBA$&il?lesU?712dUl|pDVMpH2C?=9)j9%>P)#Ym;Q|ZHchOYeU6tY
z!;#H7pkd~B)#J5%DV8}@y!&MRNjn}}!Qs+`wLNX_;Jf!>R+2jL*Wj9l_geA{$H(OB
z&IgExG56oSPuqSM1l@iKmaqJ3d~E-Y+xDOD*O8AzQNwy!upF6GeiallTb`704bWE+
z+}`5U!NYt_cth<H<ndA2wqN-<wiWKAb3nrqpjd9x38x1Q?X~dEwaq0wXYjSHPH}YV
zr9(GFG#b#4`HQw1|32LF%l{`9o?U$qf90->(-i}~zQ7>^72^3?72<)=yzSHQg~E`m
zdwB*Y4+>M1voYDm%G@5(cc^@-Q;xUMvd1bJsCOZ$Z^LvFOT-2ok_|f|4vB7i#FgxK
z3jxwEQzUgjLJ`&bcJVG5hVvVkWS(TZ^nztHXKO)yTB107q-i*DNF=sX`6eaTz^Js9
zaTD`}0X?21dWm%l^K^mjFTS-8Yxx%68joMfF1}d12A)TmX#Q!H-2By_9vkc5PYmZ&
zTJ0Ds(nC`65}%1@MhrcD?x}d&5r3s5>(<cBh?uu@yNT+#e*UMN)$>J@Ms2><vgKX1
ztZ`YcvO|$)4@O^+dNwD=@D~=8hst&jFOfWWI(j?1=i5N4)9s4BWN}{bGC=X>t{b|3
zT3Z0hkX8FH9kzeQWc%g2<Xcr3L|X%Vy4SzneA>G=h;()M>3T)+t$FEje*H}<u)qmT
z-uL!`nPMY$yBqMHSac(br5+ERjd)$mtr5_959k}2ms>F;c9920@9d`K6<Zq#B;~&|
z8~Z9d6u`nXqolx}jxpJhabfiCQXum0Yf}Ir9n#2vfPH<KAZqxi#$2Z`Ze820s=9~9
z<nJJnf7z3lv=1|qNojk&u6Qh>@L`qk*~4u~#w-kn7laP))THyQil?8S)9aiQzv&C9
zL~gFgvnG_!&Jsmu8r+-WX)4#J#+W2o4#%%i2aY~vCLNSW`mNVn3>ZQ63l6oEQwtyD
zoPO_a7Nc?it=|UIVIA!aFq{65%6f$b*8Mh>^hTX>stl2{(pnE?+l)T<i%ZVbC8(jf
zCYs54I)%%wEGm1>#^DXtENl;)CyXN^9z+ljX-u>6(B}ls^e9h!ic@6Lh2-Wc_~$yW
z9WyUiOC`xm4R0zDfut&NtD=chhHMSFyEiF1eahsGFJ0dj&oOoR&zy4e%hjs?nNtql
z<G)D2FwP&ie(FQrSl$)5KE7h)18esdYnRECt2=+Z;X?iBOjNw}q!3mj4COFl6j~Nr
zqLx_Ad3$18#8SM0!}w<;_VZ*?aa*k{AIKu7KKjc5|3BTQr8+E<W5Z{)r7`yl)w4S0
zeZeOv4$<w7?dc|Wg`YWcEbWA>_h|eVkFwpY+8`e!9q~rZ*bLp0NGzQ4)En0uGTyKp
zzb_JnhcOrqegky68rCnTu+6^M^pnf(53-uEW^R#KxA^0p$Ydfb1|DqW9z>EfG?{A3
zww6)}O|qxywskOfO{9BpGBlqej1t#P<`=p6gX{^LM)Gc0<TB?i-|Ut>nTagFsV57J
zPBma|AB82Oj$zkYGfj~>gT<3>vEL(J4wcI7cRN8LM9%^|e<PEFhu7^H98=l5o4JM^
zm#HsUpPV?a_hwDsJSK<C%aw7fC$Z22P+T^e(@$AX3IoZDi>PzB^YPu5DI+&{DjPP(
zv<u%mJy-r{IRvZp=xx@<t2fq`lu3>=Cf40)8$9ZN{T(vO?<{_FMxt5Wmu?;rZ6qU=
zh`Tp+OPyU$<n5FFM|Kl$s0f^luEFAQRn^+8rIBg#{xUJYa%umu_<l7ajE#dBZ*4@1
zVM*2-$Psub_)LIW&V@KkOFUi|e(MNO*y$`5H#ki_8Dx1Y^IgTEUO%!rKij5qY%-PN
zdr`n`3;F55L2e*WR{}dJ5#p*vu`FVWcRK5u`%N-__Kr}MEvLFl+7a2dqeY0uz7JLR
zlgFOsSqkC!jmm<4kUbM(eC|laH{39a_jxra!2No@iO^4k6_Db-_M0Gxf~J&&Q3ReE
zP_R_~eh0Rb0_{O<%H@Os4BdWRnu<RL*rtUUKre9va1hdo0C4)<?m;(X0q)_eP7l;T
zr@px{z#t%I4!cR(nIe(@M*#hAJAXMh_8^Iu<cqFey<8x5wZd|SMv8xh_4)3=BmNle
z+d%zbczF>dx;}AIyDHeK)(w`EJF&ma$UmKJ^7P?pQZtIJnXiTAd0mv}w><wZJCu-T
z;#Ib;jH@Tbu5wDSQu8TmFYEhTa34GSiLtwdmv~|9RXA)scLKfcJRo_Jfcm%)zBxzA
z(Mu<pcB~wZ9304@yml;g54Y`hlV{M~ek$rp99Br}?|(JwW=VoeTQ-o>6&1j4jj6s*
z(5Pv36nG>B`S`A+@ojw-vs=PPFSW=J982NznnyWb-l-?4nMU>=#|HqfoMq6}_+FC7
z)rY4)2q}yo7<7BufAlcN&L<ao+%zW1OW4_;`9YSeGOu@#vcp$Us{LC1;c|<zonQc%
zJ|e-Ne~m`+C%>bW#IIQA!||8YZ6TE79y4RGQ|{Tl!eQAFHOkPIH?YrXRHcV0#A`FQ
zE;#0ZTs&gN>K?DH(3zqL2EB9lxf3edzX|)&`0C@Fevq{?$uXHv_pY|PUUy*If+aj+
z>X_)IgsOqSj4GZxn`khUV;>G>SR<NyJDlmrT5`WOW|W;lcIy~dHNcO`DwD1h&%`qs
z1PzIZZ1btG?6!D>tf?GbN+MC>#G6(Jx9!i2b+~<*x$#BHUe2Ex-qY}*wUgs|>*T<M
zOr1BdH2V-#?><6e3l8Rk^6<&3HG|^nw~<9xVUI?(uIjhFWjHbogiFP{MQ3=Mk<U?(
zz6}ftT{Wy(b@^G~^9tj8!J8^~l63Il8-9EqWsNCl!2D+h>}OHa{xvQSacR>V8!v=#
zS1G+lu+UHG6hw*ol#Qk|&hmlvT-_Kk`6NC~x4DF8A7{rZw~@yeQ@DmGqF>oR5kE;?
z^?*6-&5q!TJcOJ05WCTML++@xQF7q@in5W3;+}vJB<aQDExqrv@s4i-H{fuO`xEIj
zOHliE6oJRg&ujnn@r_aOcHsV%?KO3io3V9=1PKW4oFP5@d?qz&IpYo0HXqr3AO`*s
zam+_?RPK_^7%AEw*&8W-xxU|33~|}<S<ro`+JR_O+POg@Z`SydmkH!?slQ#c$SNLU
z!1L3x`o}n<*%s8o^4xs`{qkphlOX$Z>3i*2tM37E4|sJbC3PkK^AmA@`T^5TH>F)e
z!~#IRFT{KROcj{~(mtag!##?xA3d(G$w<#exi<z~SK%dU6dh(dgmwWpm`M*miZFpj
zbH^y-ghE`u%U>eMm%bvDKV{(~o&H)fQ{%7~BQDXuw73JGbAPxdr`EM5=xY!|Bs~Ch
zr+XiNTekmx%Sf^I!YHUb_D)^gC(hY#-b34WJNc}Cs?A+b?SGbOs+#lddV=?PYv%dN
zSG@<okvii+Ec7d@NM+)9NO4ajzU{Nq+otomR-+r|lRAO9nKOQ-1cAC1+l0MPe{j{%
zx=4lu`2aGeM(1nY)oc2t@0txr@4)l(!3AYI|7Hqv+Ocr5<EJ|Ygw8CjE>miW9IffC
zq4P^z5}${1?0EQ`%`o(sQQG%`I$eC_-?90~Ahbl9xWP)~ADD@I9Q8<{hUF1N$CQ!Y
zF_Hv#C!S&-s*AMTB%r4aeHnC2=8yad+3H_CM%fFmIQ-0e2m3g+*i1Ym(3R$~wC`gb
zr#^l~{ZJJP?(aO*TT6xzb~zd!YHVJkXGMf5`%Ub`a54II_HwPZv3Hj6omO4N^Vz)7
z*$YVV@x>_?vEC?<{k3tVWqM(h$ZpB5;Env&`r(VZ!&}woM^8MIAoE<N{h8v+<bn=K
zFGEId3(6DeOVQYG#kC8~*S&m{T&g;Q>`-v>gdR+!Hst`Cw!~h@=Oku4>gKEeFeDK5
zCapPPdp))p@9eHVXebY!8B<D{d~}aH?zH}k$N<^U{CB^>vwsAe=OAUsNqjP39^~c$
zzEt?m!T)Hf{$|a7m%D5|V8eNG$S0Pjnd<6=Udvl7ewmd%;_pg|F^5t(V~><$4?iyO
zo+DNGSv8kRaYkmt$gu&B%gRSwSVh=xH+Z}B;&`>2#*yDmoc6Ar{6QvC)on|%%wk*<
zj)%8zY<fXkgzACX?|)}P^QYr9Ux~KX21N$5kNY`g9X<ra8-jaDKx||rXJU8g+jB}1
znx<YmT3KenFXopzRL@xN<-hy#$r<u3k^I?G+&~cw_~!)1-JG1#8^L-4fVblqjd&&A
ze;30qHFP%z)jJHPA-aN3Kqt1=3%t>$kI#b_?l>&mNBqGo&G8MDp=tF9_KeKisqV*{
zj-T_DFR`31skvT;-P4R-EgcfW9j3dOe2*-BV3MAHysmZ&er&uK0~Gbrga%CtzD@}k
z1r^Lv^2A-)+kXjDlwEd;u|udFda}2HfZXorHmQMD4fx7$KK|C}|Bmgx{jLK(AEWhL
z%Ag86+d9^oilJp#GAf>Ex>=wmII?^)Tcl0u_7|0QCp16ZbteitzrOVHkR}Xv+@RmZ
z*INx26Dn?%(%PmtU}@Z8nb=BpL3W&MrRM#O6|-cV^fdID+%**{d{t9rZJDA|{B@l+
z;>p|4VoTzU!xT9-B5y<dRud;<`TM$9JL}gj#iKIJypSL=R{$TE7e>*3Oyd|_AIcdn
zNwuebcl)BLxpq^`EgBaF13xr!X_Bdby~5OJU7AB`Sf-=o;*Gm-J$W_;7$uf4oBoV+
zWy<6p-n^OVAoUxS>9l<3_)T($W7N?q3#Q-67+|6$J}TIaV4_}@hqLz3Ow~w5Kx1cL
zdYWlQLQMOphWx)zSj9x<p&;c<Sw01`(fe=NY1FZ3=q<&j&61gF+K30`b*7MJtL!Mw
zRgG&LKJh0W?5`3F6X@5Q#t{5kfWdw$6@Rf;2PpA~Z!O`o-M4l5DYZMDvLCS-t=u^J
zC)Uhw$4(nJ<2v$IjLh=b8DqN7Xp;3zH}jElYg0OLvRP(U68VsW;i&AG!yQ)m5LMj+
zPtLa%6rWXGoH8urTI)N7cMS_ljnxMBS3#|Vz5P^CpY2S7sbAra06;sJ-hBEw$(lLi
znD$6#k!&6+#=KAH)DB#m(rcOSJRyFe+P1;SiF-H_Rj?$yqN8k>=`9&oLE0X&gT&&+
ziZwcKS-CA6LFepUFW&`sC36pHLpESWmp8~?pOvi@h3uAY`PCGsv=mB<UMgB`48NSs
zmHD^)^xr10e`QM^ibv+c;frV0AIw7Ww;or$RNY-TVeW_K4&gdu``y=aw+|Q7nCc}+
zuW!mc<DPu&ULN*kyfIQ>v&3BKS~L~NUGya<XyRd*y+}U}4(S<aC}oJ)^;FiU-819#
zT!aj!WAtl*aGu399$fk}S8EGAIfN)6du7fT%o^n~LLvoR)9IDUaf(e2Pn`!jUmQ6&
zo3+es2%wE-5#xw=bdJ<nr(eIgKEe^&L*s#7Q@K1ei{%Yo=ccnBs|sCXT2jUIOH}Jh
z2ejv5k(T`z8`72EC+LLTAL5+6UK4g&|018nyOocUj30gcu$MrHhGM(}(;P-r&4z!<
zUs}3G^+A>WT&pS<S?6bw+sl_hXDsD@_28X>H$u-^Uyn0dc3N&z@-#PjT48%HCdv1i
zKGYv+f$NO|OA(3*J-YMyMaBEF$hx|7mS4QmZE$w<iuf3u{ft)7juty!Q|P3Jd((sU
z_+jM3n)qcxmsMaOJIA|Yk;*C$y4{)6PSoN*W!ctJHlt6ErJgZcFAe99+{gLfs(bPz
zuwxn+zb2^n>9E6060HXTUURB&#VE3yv9R-+h231o2N^fs{5@p-P3j|*T-z5=I)IYG
zvbYClKylh|a`w$h9Zz@JC@5RDuc0@$8)Myrytbb}78KiMl~o2$av5BXRrY@~edJj;
znNJh8c4Ov+)LwH7Hu^OtqL`ONPout<QZa|qKzn=>j(guW3s=Eg?}Uljx{YR*2kLY0
zbv#_f29i4NpClG`{}P-1Q+V{xAX72}%dm1o8Kn&PQWZan{bjgF+?%~(DLxBEo|#>X
zMol{1=*91HEVfhQq|>FAJm1DHf2iq&Ul*tPLH163c=RO3kPC~Bb}i<VX=B8)Me<F2
z4cj_Fyj`+hgYB+WRd>zW=P+z<F>nfL5`<-qlE5V}4mtj2Z~bBG>~|b$ImkQMYkYF-
z8=|(J-1MUJH8mGByXx_yE$@^Xe7}mOAD)0ENBDI%u=UzjqX}LkK#(e4D&M>BjU2+A
zc)TYi{PJ&(VD!wfnt<DnSfiCLHw~Q))CKG)ORT;HmT1O>jT%~$851P1a4Kxc)^}c1
zJ~(d8Ogdur%7iwup0dacp8`FDH@{moP+?GMES=zfHeS-);ISq{VC*A5=Sg5lV%YG7
zAPQ~<9C&{^5Y~1bz1&*3Ft0|c+mXu7(%IU&i1@t2$KP>vLyp(ud~nt~xz{sMmxPU$
z*-x;sX5Q?QT6eA^mm$+)TxK)Kw=K3F*&ETj*iy8}DS2j2SUhs6ntyVoz0>8J{)US&
zSXa6K9rFx%Gr~se47(8RqS4jYnM(%?;jU3P1-D<i-Xw%te7a=N&h1ajx%1J+jN>o^
z#bkBXc4TZXxT4NjoPJqKydhxh8C^in1)uwIJ))7Lg?{~TTH{s}eHpq8M}rJ<jXJ&L
zdP>j;N3KL4830LR2(WGO(VLB7BHqGo;%#;Cg;;_@X`&+RAS!4}X7B9mX~x?})P1eU
zmjPdG#Q~q(H1@do=!Yg>JC06%*CRv1lv~AopRqluw%H!eYNe&I>K1mk48phb&i89m
zJR$hgSpQWy>R*c${OMo-afBnEeAFRd+z%jO`i41CjV(@k@egBzh|ivo7$?bNPb}Ib
z)nqFmtww8I+YVm8Gh@2ZapXm0jAP1o601kR!FuDY@+b#osMuGTI{y=#58t1Trpz57
zU(T%_+|?iR*4i>YT-mhD97G1|8V`c#W6&x|b8kn*4!9u?7XC0Cehb$*PhP1!Yhpe2
za(e6zIb@f`e`=tXEvtCkx9oOZD0Ncgw0E@1GJgcC`dHr!uk{9lLY(rDMTZV_MR!q>
zHKzzky$l`m5-e{HyfjgAq=&@;p<`6hz*btUDQ;e-dN`-~lR*Gh=i<=c@RPFuPQK52
z`xE6`Bp((imNg=A&8V|AZl?S&_nLl50eUOBCn|)D$1;{Bv*9~7-~BFlC<1LCPUQ>3
z0uxV*O33!(70>%qzB}emW2dHSM)wtf46pU#VUd-H;huu<SrUYJs|*(v8mwDsG{mZ2
zETzKv<j(1n+<iO8Yl$&B_d2iACMi2b1eOP7CU6hw4#oeytN5?{?=wnx+LG0Ui8&z@
zz9ADs!SVEbVdJUu@q)!MuWoaZN8(Hb<R}lL*m(Gbf;(fcr5YeWRghsMz6q1wn$9xi
zBRwqEf`jcod>v7hG(6cksiZxAr+N%defo&3?E-%~hhI0-<fR%gF9b=t@`hy8*<Qyz
z^15j!@S#-s0oRi?YF5?pAvQ8Xf?{;1AloOg3G~-4dzQ*CPAG%^GRo>!zBT=U+46`x
z<?3VsEe~!!y+8<%&3Y<Z8eZ{NQr*AL==*6QnZTm9J;l0jO|_%|pjQ38X_asR6X6a=
z8)ZSjZD>!Ok!@ysWF$F1^%?J<*r%=x+C4!cOTRx|WV~R#HZv)t*vKP9y=q7xn{K@4
z?a&@k#RhHW_ntPyOenM{V5&)~)T&c>|9%}*WO|pHJm$_C#|rw`*;pq&t089%tr=s0
zS!M~HRTCR~As$%)pCgXySY?KP`x}1uOQ2Q~PTO)RV#ZEI^FGsvD?y_w{}TvH8<Z5h
zm(f*zv&;4&U&u~4`WAHIH8I=ILJMR3Zbs2SFY!UFZRaN?ZC7D*=Q<iJK;PDr<E09#
zbd-_4kOF|bK9&ND#ogbvDoM*k6zKCYccd8}(j9|0kH>FzYF)h<dy_KY1lQj2QUpfj
z-f7A(q9Wz}tLJBbka3M>_Z#yKUnqL@q3}lGCC@72WdihoO-2cv{tN<_(q3t2i$OG}
zQ(N(xqDEb4Ji1SihN49;mgm!VZPwcaQr>5|@3n)xkCeqXJ*^y><QzrBs0|l~a>p~>
z(`5$yUz3rc<xZ!$w0x2;l-|hoqNJ1hT>x+3(}I*PymzGrc^5{rlE0bO|H_s&Kujpw
zj1w<Nfa15B(w_vX;R|YuSM48M>z?>L(8(sT5TAQVUfR+02U&!;)+ryV!w4~2N{?K2
zrQr=17L3N3IMni{JezJ-&DNvGa`UKH4Oq(H9SGgcnN!85TW5`*xv3y{s2<;3WJh|%
z7~`EWAgLu#V^rMqc$4;sSf5hrS~Jz=_yX&fwp<4&ADLG0h=i17(-e)7*>U4{V&hid
zVar7qv~M1;f!?-?VOySL#0CY0gp`bQHA~Is*ykFVoH-fdd2x;`;54Igl?ki>7EBsS
zTFEu^5N#1<BAgCEj`h0fJAb$|8Pxm!YE1^U@g-dPN06t0I$MdOj6wp9fpj|2rFC(J
zNL7lB7n{Mi!qHbY+dq+ZyhEbaT??TnZOS~{Mx-Ykxy&t(AuBjFKc)?1(2VtZnZ$ee
zWNe{4b~5L9zN=+EhZAPa<aV5Kad}}9*EC&E7Uf8TaWj;uJW8lB?ZQZT|D}2t!N%o*
z=BF=&movP8oH^>+Fp0;9KH*bJWj^lsiqXhU1U>_Wom)B^6!@O{{Fr}K#sboYK%sdT
zq623p^|6ICX))ko>i8fGYw;TCqRBU7)T@huw3Qv_;}ldb!(Sg!e{{|r`F{J#)ttWV
z1(a!3u|2ycDxQ%&WFduYbK}?gRX*L=^l5n0MySzfa|5gyMLQtga2wyI8?gqf?BaQ?
z5J{cZhzbSSPa!V7R7=9vDYB7lPt(c987pcj6gmB=$ol_D_lKOm)sH=*C5^p)(BfP>
zdGjIF?Q9WYxz9(6rh;o*M&7;^&&_D5;E?PtUu{d`&hq0<S+NbXfYbQgrepeQSNthJ
z+Ot2dcczHKaoDV<$Ofr$;0JxRsFPfgB}JQ8-(UcuAH?V}5M6HS{cSD#b<1ya-TIwj
z@6&0<II6Aj$ugOX`Ni{Z>|X7ee630l?&XS3&*gWjSuD;RkO7%Q72+&i*LLD=lb*v~
zh3e**rFyJkyZS*eJ;8XxQbStpO~&4YA39{tMGTMtE&oUY<i<G-myp;zVlN%*|EemZ
zxEptT8ya}Iq&9zrsn9!na=f}z9h6qe$Y*r$`EaLN?%pLmY%r3u0TXqd#7n0l!>14(
zat<<N(BfIOigOi1Q;FGnXT7ew$s_8v@cH45gR^D{`UWzI7dbz>ns-R5l!3ebAo}Yq
z|5N*g`PNA(-OqPnBe;n%&AN*L7Sz$QCuD7g8IFARP{$+(`J5CRz$4^K2P|G+P^oy%
zEzHY9C+%%enTlBxRh4+$**G~gQ4^2g6Gqv3Rpl46T_%qnAf3kZDvh!mmSS69+2)to
z6YjVzpObiZV|vsam|TCv_Wl?#|4X3vpIQ1Dn~0_Z7IoOhWdj0gFzZfje9(=nr50bI
z92qdjJ83NIfVH75^EBt4@mtDwMYekS*41)(%AAF74a8x}2K^Nb!`p@GU)rz8*bsqv
zwE*J}!^7skSf`|gh%)<L*jXEn!EsZ>X_4eqFs2m@kC*jyy?1t&Wt7C#iZUvfmTHMV
zEvo4Ie>OmhXj$5Lyj)<oqZXyH8qbE4tBD@P2aoy%a57KHxv9_CzNS|h?@yHeT9KEq
zNV+rf;_%H-z!fH|5ykUy{`XZJwMuM1iKyGzyXW+@q&33%MB0)<ecmBBa%+v=2qKF5
zqm1u0j9Qk#J@iA$UWWpgYvj@IdM>i=MPOf~ZofRIIW`W&E{N*0sSr1Vsk<W0HLQkT
znIZ4QmxjNOu_G*eym1uok32*VKBy+=Fjb{ST;LzF%|y5OE%_<$pm+#5`@m@Z_d(nL
zUQ_-z6aPq4m~t4-Oi@6W!|W3aHO8m?-Uq*IHFTmo;{t-^Ny)>?{)#%?PM5lt6gQS1
zWcoyT(v1?*m_<!h_}%k~L&DrBCC7fB3SO<US`aP!RI@mvo64u3tZ%u(0p+LbS7Q9)
z`4`yfPw;(8$)ejXNIL7iX9#yEx$Y}_Jz(*M_S8ys<7mQ$#Jpd=cr0Hx2$?(=Go)88
zXh36oCwTefu~4V%m<{p(=ruDt$hR3w)rN~3LY?ra^v_G_Xf@HbtV1Z0`xY==ZqNTZ
zvSnsl-4I{F;>23??tYnXmS*e%m3oFN5#eUrzw#Mv74g*t8eAo{P1P+IA>-a3L=o*7
zlQD-ok5sKnz4}1a{Qly!@PltK#X%R0kp7<S!Rwy&v&jX7ibGX^=l&lO?K*H;;pNC<
zixOTVRUS!f7MU9<?i7`g)Auj)yh-z?vo)$0+I^c$xLJP$v)`whXJf`w!F+jwLt8qC
zyZT!Jf{JVf#o^bNMuE>S?8?D=8>HB&a*O&Vt+&qfPYTOVX5KYziW_J+y17XsH)8xc
zKYnuZ;?>ReFZ$#);?rn|pr8*gju~?roolRQm)}v$aWOaQR)Wn)89fBj6nk1W$eTBc
z$Za`0MP=g$88Xr@9Xc<3=Ydm9`Oc?v;bdFg{JS6U@S+v$5)<is;#1z_jsWZJ@pr}Z
zi1ngw7KQzp29GoHKumdO)4i>tucBC50na}j#mRnXCVAgn>@wBTS)TBD<p+C)LEJcG
zfmoM8>7bopnu2H(mGS^*(Jg<iSs)Iv0%D*oh|_pc1AKDca{OdYFCf&vcp0db=K9Go
z=GB>)Ch<i;obU4kY=HDAz`{Sahaf(!PsdmwTTWI?g+*cbr>KpWpxBo-@Jq!EYu68F
z-LJID@-I%&<RUp^p4P4=#V`B&?XT)T2Vubv?CCwVSprh(DImjl22KoXyZq4Pb>vJk
z9^{bmgw_kqObCHWo(%&fY#xlCpKxA}>i4IlFg$vLYkR|(alZDj6pxsF>7#J0C`A)_
zVSH*lruxI|sjJfGD2^Q*F^ezaP#}+0zL{h6#@t!~gBXNgcz5^3230!U)HdR0*5bTW
zz<&c0AN}Ps>Rx(l>tYXtb}6DxOaL8yqbNNX7UMl_$KT_ycc#^Do|~|!Cb3N8dhF5t
z?GmAnr&HWYXM7nQ0!9w=6d@C@6thWAY;);#W+Lk;hp@Sx1N(HE8*Vo6EMor{7{MbB
z|F!e&bxg;~Xm~x2Z8hj)tv^JeiI%W<tt7r?gI;M@x<T4NUbX6l$|dQn)I6w0^XRK+
zlW>+76@jBfAyq#%ps99qOG4ui*_*fT(-Ryn?{s7*2YKfY<Cfn>%C!<{A(%RM#nJ9^
zQ}ZleljM9ord%sj?o48lk8p}yepbv5bZpc~ML>ao7O;zzbvApeWK9*#X0$j!?>Ok<
zi5MpdBl_4I5%_B$b0V^T7yN;2AIGMXs4am+nD{b-LE2Zu1yBiTa11#IAN{-uiXjv4
z0|K+ebMR7`Lw}I5W&y*71-eLsff8AI0cXH==yKM$&>TEwKcoWQjz+%v{)5aO{|PXH
z?Lic5x)nhZRr!6hqwjQ7D#2GFTeLRlI0Rg@i!_A`B>7JQ+R3L#kp1~M=GR7%+L<v=
z&~bjydCp<P1ro|K`4Bxzd3dCr7i8VD0%CJF<d-(Vopb)jt;iOTln#A*g$RgN+5>VA
zFeHwP0yHi~?w3XzZiUN!ASvO0R#?#|MjY&?!GGx=G2dSr1zD=z7Q_hL&tfZu`^-CA
zGU#7=$LiNscc?D!cI`9Ig1RfPO`(<ff8d$utR-&>wGo^C*F6&1K7f376pUX*=HQ=l
z+^F748#%Cyz3MqeEl-ah1sY5ilFqWlixyX$Wq+nl-TX@=90YDgF{B*e=^bxOVJN*h
z!*TV1MoY_+gh{$ii1a?L+az0N7Ntbyar_xZC=|#k$z8xZ8{tSXd3b~(cBVs&iKz-<
zWBa;^UGd^Xg<A<nJBw^hNqUPd4n$i&qOMg9yd5a6zqQ`K=(PXkCMzZF`Bg7Rvr?c@
z6N8QT1U)CmxKwCoKaHR<nKEhT84|ay$Qb-q0~IX=W92;D@T=H{CAmpvo0GX7-}!b}
z8yDxSWd35t|ETmu&fmgDfesgA?-u#)uH?uHckn)Ih@cj)5hBWojV~#zu<5Z&x5#jG
zelEbTvRuWi+Lj`varV!5Qn_1B&7i5Wbtly7#AW4FPVF`yxs}N4zsyX|Lrvf9rel-M
z!7A-)hQ=bK&*=~4cf-QbDt2oJUrEfebm3cXabEYy5GQO4CO#T!(jF3X06vB0J*1M_
zIK<KZ099z06YD?`;--~yX;3XVMlrK~gTzEk-@d$p-fM>bOh-1}MD%5qfD8)2cmlO>
z^Np)!(4Xb%6!y`SB$Z4ZGj|XM^wT<EaGfH|KuD5$)>AA`u8P~rLbV5W1ew&^u6?=)
zZf1&gJn?bcY`E6Rd;FUu`O+8cRT9%Z2f$5JDF2`0#QeQNkJ%utw(cKqi`&U4szUuN
zoCl{KhHp!4*+-5P+oW-h_9N!b`doA;k1e7?NR$Ye&T5SbeHa9GR^viWa*k9_0>K)Y
zT26f8rNQ7o_sAuuWU%{JyXmj{`GrQO4zDkN`$5)q`zu1NN=b3LK&jDKmMX&0I*Ykc
zDl+*%?3Ulvx0fVCvS>H?ZED7?dXi_BvIy_tt&g;&>`k5$w?LYhi6N_M|E{y&HiUow
z3CX5+-p=%@pVjIP3H1O#z5gk~_8YwWZ{GfMNFhjPi}n$+2htD|UwQ&PO|czBo$Bv~
zoNX6sscwl}gPp8aRg=!-JuwvVJSp<K9J9wOqTX~Dd;U<)ocf#z_qh-4_2&q<lokGN
znNwAb=(93<n7#8{4KHlmUd=itxWCLg{3f(umTWxpFiXFBb;m45@AXLush^Rd9iyMV
zL*D&gl0$y8+W)dOppD+1TC+c~oHX(IVjJsszXu25leryiUF_V{g#er!(&Te=^wqf1
zJ^1Evt@JCiGbpL_AeV?-!seJ_cS8DWtKOBA(GqUVqi(z0Wht=`5$ojmM$u90hg}EP
zp;T)tQgjPBOnX(cL*tCJmS&E|a4nUBzc_9^+L?bI*d<TH6?R+XUdpmPQe9IPd%F~A
zaEy@~q$>7ejFU!By4#=Yf75m$SZ~$FXrZ2)_p5pBfML2w%kE|9*5||CKG@3*1(wvq
zu?YJO72+r<-i7GmHUdomQvCa=G(dIr)#u-NYJXDW@}K|QOpBm|Z_~$a1i2IoHSJA(
z9b0cGFkXr^dDnHTL^ZC}J4m^$CWF>66XlvDMCWq~pE{l0fD6u>5u)~pRvEl1xTAWk
zBsrKj@sYx_pi3gxNW;D~GQlin@;RLWx1#gL{CP4_cd>cRy<t+lYf8CGB<^SRP|Wy*
zi0W#&DJK2YdDG2l-`OvgIli!ep1VMKes<#+qEUs~DCte(c(a#>h@nX`Umafh9Bq9F
z`Gs68JSw?4j$M7lId`RUmf3)In7u|Xp6cL?hO2m!j{>&&Std>{j<efY0|1!3$7jxW
zDXS>Ny|F~`e|R%&SRgK^Rh69gy{5_F^ovw4g!okNu%9$XH)F)~2ID>aU{g{`Lj+TR
z!^dD2zU3BEt^Q|_AUl{qCWe=lU(B^p=gr-j^_RfGz8Li13}Q~-0uXk`E<_;3i>XeC
z^Ro|Ym4A_@NN^zWJiJRyNEj$aG}?jM$Giv0B+4;Rb9`;F1X@^K)p0#xDR24JqKr|z
z*}$7e0~I@3TFTMfBzk*bO!Y&D&{#Pz%SG#e8c$V#1-zKP497#Pe`-clWu}+rg9#8m
z0U;@-7wH0b;TmB9L`u)85HC#vyDAfrkC^t&`?&`EdODcB5@%~3@etvH*gtd7BDB8+
zK_Q57&A(hD6muPv{-r-u2YDrHQ2ckdZJkvcMDOUH3MeH;`}a-Wfzw4rH9L9)-a=#d
zQXJ1EFr<m@ctlVDg#4^&wv#}AVb*bFR)Az{Pku38Ht4l?rP4YTDRR5!cs2WL0y?Pn
zwI|7L^m#6~`GT`ysZ4;@MbW`QuDdlo!4({{Qw2MfNn491)`Kn9$}(kZzL1<9bi&g^
zY0fBsk6Ro&7a&3-=$7X2+azN^v9BT2oRloX<8E_5E{t>@WQ7FTk7$K$_pWJN(l@&l
zu~!OFHd9$Kx$#Bqu1S7jrxY@IzYzJVf$7DXU|MhmV|vCif5FoAy(3k0b;gI7PlrlY
zFnzwb!V^Qm-S7>O7a$RL@1_!i!Sny_mH02cjsNO3@<6PqKN0KZZ8Q^zmA<#gwo}|a
z*&_IXzJV2h+9!9ry@QmTZE4o(V@(tjnz+Vr?Qau9-X8atbHGQ<YLL&unm2;RD1%(p
zeIIK;we7stXF8QqE^`@M-=(zR;b(GXk=ZiCVbE-gq^qxWBGl^D^TqbN8`|OfmRzeg
zru2<QLcwDO1LcJpvN=38RYBU7nwk!Lhb8H@4+kn5>b1p+Q3`AnlfIf#DL@K{718k>
zFF|Tq0(xw&zO?$2jbrNNwYDB9-<cnN*0v|_<E$=ZII<P<X(|wP6o)Fr3F+b>0Wy-v
zW!_e)7YN&7vDe<ODnnRI*Pl;&Jx2NWy9i1&c|DQxOUN5rayt{LWNSgyL`SQnL`M4&
zmi!N>s*-;eOw$U1(qF8+&xP$lDaM*V58kt)u3jV;u<`vG<7}2bQqv3Z(2%jjye^ih
z33d+SdZlb6$(;B=-;dqny+``3Ynr)&dYbkh%o?XWFX{y1+13jQ%QgiQfIOpefM|Nd
zfOgdH_m+h%ql}S43dJB||9s=GHpMT&tUo;-u-n6-JYZ}aI$~&{TNEjBB7ZS^c-vef
z&&5&h*pS7*RbDJAV}0;Tyx`-+J=P4K)w#{v=lmGQVWP88s*VyRiuJT5`(nd{i`l)Y
zHS5KzUp^fSBTso`Lg<XHeX&EHm*%ZV2#IPq0eD+{-?JxpS1mTTOdE72O!@i`nxSjo
zzwT`#(o&;3LEe1NZ~P_lWZQT3+y&plboI<V6yH6JdZUbQIxR&W1Wh#q`M6DB=%)t)
z`Ms2{T*9ANIfF9^Jdmvx=ti8Gi32`dBI;xgdu4)_`tnZg%ABjzi-n?@jg=o{WL>}g
zHiqZ|Lf|KZlfg^{!7mkSeE>obGUh)C%aBKbB#$<5?r_u{`z`R#5ikWwWD$`YfNx>(
zQ)nI7vb}92DewUP<3hm6M)JOL0kPz3z+44X=D(in+{>wj7}C)nWcyqVknactkz5FH
zYlKLCP~4!V7L)Z;d4g_<rpPzi&m+lyJ3(gMVDY-3MP%bk3-0w8HO(7CuNNZrp<5h_
zsF<G@aZlwQ1IWJfJjUkgj5=21>2f0DMS^&pm{wX%4<fE4yjHkk<kEBgi%%b==OwrI
z6v@8%CJjctsWO-w{-C+|7w6}nJpM0Yr7-fDwNv-{c7||5!FB`dkG1%IkZJJRkLgKL
z=jCFZBv)JOmidkJIj)%U@4H_sRMn4qU1d4U`3Rr`_8I3dVR=J!<>f4zDJik>uYvJj
zut0kLGaX_|7_3{{2mD#%+Tg8F->{T;j|7i3{acJMm|%yUfdH^XC}QI!SScXb+7iT~
zGLH6eixMnANUh8mI|Y)jpMY#IHwoc)Vv81U3WIKQdxVho!Rz&NefzbU%ezC+h0&R&
zFAt#$d(;0~6YjD^+L<%ZiJwitbO7=engWgTSzOKWKyuA^tM+BbK@`$xhv@k8O3YhG
zN6T=!Z8Fa4Im@xB{WeUNkFvgo61qqoGtoY>TCQ!$-PcLmO$qc`lX?rA)<QMNp`}IS
zHG4LETVux9^5nT><1g~eW1fw*+Z~!UAko2{C`bSW)9EV^gzYJe%FuFy`Qrv{U$^i9
zm{vFRr=rak6mPr-CQx1*ARxJfZmc5mgJQ?cRlRu~6s@lc_%;X^=N@0TSch>vB_GT5
zFzPeuk@B67ZRvmW;%<ds;g;0c<;)t*_kU)^mcX0SXrzKxy-JcDTn^13br;_7pjX?a
zV{j#z;XN+1I!^5)srLqw#aNrI&}Zf}3}m^RuM1||(8it1o<AA7@crpGubI04Q2Ptd
zDYi;7;~Jd%fUZ)1?fz+O`SgiJmA4#Gj=GbRK7t-fb6d-D>`r&TsV2ww4mz$kc*<Tg
z`L^|zsN%7=wnDPBFUt!jQGHL}-1bYKBWb-|bh&F#r9JsEVZ1Y;=|Zq7_x(;#BKE|J
z?&wnjr?ZAtBftfJ9YK`RnKOgUwGAcL<{7IYp>5kG;WcY!qIn*{O*+Q}bRSQe<1G+z
z#Fe*535s=ZHKEmx!(RRU@i~`~pSk2hP4Zy69*_+91#vw3Pw(@w*HsG$=2X`tas^xz
z*u3pfK<Q+4)P}#KJbf$~(^^(+wDf+3*-?BBrIa%<lITj21ExYZ$;oT%el)!{JJIDw
z=Agfl-2a(C7)*Q`5^4l(F21m#+izwqXlGv{wnW|kLeAx?t~_P#w1fAk`d|4Zzq3F*
zH(GmXCvE(gBJK`!mE>gh)J8spHe6`iDo0=iGhlD^OqmoPIj|bu59|vci&9a}d{@gd
zl3l2mC^6K7?Wv&*6JzI48@rpr9~$^nA+9cq_T!u%W1g7`c5D+G!YMW+$7xd7c5Gfl
zOUc3{?`w4b1yQ#L=XuXzn^JZ<>y^Ycvvlxgg<vg!d#14!7HUWm)m4_OfPFXzoE>M5
zU!V71X3N{19BS{W^8#od^v-HrpK7~qM(375c(|dFt{-;GC-{U#Fz>}Wj={EPQ|W3G
z8K>D0L6x<3L!)V|^{<;oo#{4<pfVzr&dCZL#1jQeGwDotn{9;>t69Clj~zqh!;(51
zOsXsgqZ$1sF*GbIs+$LPdv<$<+e{+51GRcPQyWtowVNX4aE2wb^9BTpRoH2?m$1Xi
zj$V7Q(f0}vFCUR=n6+X0(2>2|R=iU}{(k$uhkfgZH6Ke*6Xy`pDopV_wbZ8aTKW5G
zkV^KFRbeIZ)Q0-FT3TXavTIdu)%SS_EXcw~w2lNrccHuB+zpxeOSKKrWj0mUB^)L`
zehWMA@R6i%@36x-l47%naddQxFJlVVX!?tu_@fA=OPJ-$-(;1@1Q}k3yvuR``u+-L
z{j;OxHAOiOBQD9gF6YTASttN5D`I`aWze-MMrt&5lHl#<G8G0t>tY|od3?D39<oEg
zOD>ru2~#|~b?(ajEGntZ#@hQIBLhvu9qM;vD<rEsM`|nc?OX_^<0ZM+!Y)o#{wx|F
zgO~f;1pIjIYiD2~oHPOI;J#qNTr>8}5=#`&A|3)i1Th_xmb~eAiI;fM;itOz9*MjH
zf=z4!xrwkT{ORGU6j7BA&ES(^@JoOkGs_BnCnBa<(*O3IAw(mLmbec`OiLR~T6J@F
z0jCHGBawrsh~yGNXckx+-~`W0fRZ^1fPZeFSXVV-p%YBIN5(3*l&y9R)AtY1SP1@n
zulha$f<OL`Udw4OcozVYKVE}k_(MoQ{~OEk?(Z8auJ2Eg1*wyMNFpWag!2Fi-bOkC
z{IkFH1W+US>s{N;m&!=a(nz<!j3yca+Xt-ny7Npu!^%(UpKa&NI$httS_<9TK}<uj
z3ZTbGP%Qc1-A4>w4WwwK^KTF-ZN|G<v%Wq=EG&adLrjPKFYd6&KlBOpYxvm~S1Coo
zt9_-d3(x)Kax0cZ0kRcP@1Em9>e8+qFoT7+l6<e53wWPM;SM1mvTSe}h`NoOR0A^H
ztQ{>xzBUEmvo-&9R`f_-OD~?Zf|l7wT@`p_W$CTJ{4#_(V~1;Z$!y$Ys@b0WtB)G?
zdIcs*G0q}?yrTX&bu6tH8CEOWjBQXX{mbs;%t#N*!hm2=i9nA2k+%uG5%YRq-lX@S
z!mv@_sz?m|PjjVn(>htt9h63?9%}e(IAWb=kP$@5Ec~fvi33GWy21H~HKVBV=smXQ
z*Q#9<ShblGO^B_iR~1#!J!6+IXqPHJJF9a4I9Uem=_<S)POH&qFDwTe65%6hoo&lj
z(OSSYR9^EqNh0w>SIr}`Xj#4mA~%8)-~_H%d(z3rASP6?c2}D+99Yv5xD8SW{5S~d
zB-xXsRsL6huNz8(I!Uy_!!ym6QsB`(yaLQdQ9ar7zHAQ_6WSj+K)nZf!&jgfc04e@
z6p(=kthxk{3P##w`pdvbXVEc;Z7DoBa;yx28~fk-H8~?(@9G{dxoz^&fNR$j1aC98
zcc&_4lH59{m*uGPEyEeJ+h4AYCm6XQPC~7u;a9X;CfF3^kB{_^rxX29@tL&`!tzgS
z^199^5PMWH)|#4j_fXwPR9gU|u?~;>L8c^n3ry<@AgbW<ha;{VE(Ynw`Ck#!{KU|M
zR5=iQ`Ix?+cJilm(rnuyL-(nlb%{Wz99Rs$92srsR~cD$gX5_HHS_<;pQejxVEJbi
zNfKo^J)&yg53&k7v8C<yDZ)kU`6R<^$EY7<lh2@hAixpij+-TgKMn%ZWC$PttV}Lu
zt++}H5h)O{zMAQth-oci@3B98ZSfCB{=pwEv15>JtV3<iIOe8N;rC4{mm)vsElZ4|
zbktY$yuk_zp7yf`Tot;>BnqJ|xu=jLe!NC^w(fxvmKE{Z#|rH&#H<|OoXNa%Ixiy+
z(U^p90K>B<0oVtF2%PJ-FJreCVrv<Sr;_$81cn0upQg2T<iI)`B#84Sg{1O=g+CYE
z=g%AX{gIW$gUg4b!~*~l1g4;gq;%4;-ZxN;x(`4(-Y%$ux6c}lul>V;1G#W0NCuS4
z0+*06|I^#e1178J0xe#5iW$A=Ie@^j*^{ou{C*b|lNmFC=>2)WmnDC@&^!CER&<#P
zuva)e;M#rSTI|*$hH$QEeS$z9m+;dd+z{26Rv?u1ElbD@Q!?|wfF5xY6`L6`2o`@G
zLaa03J*E$U>wL8pK)isT4?KmF)*v5T6$E2M4~^0FaRG>LD!BP+as*C)+m68uvb7F%
zFhdfF$&)_c!6-_Y%{ydR1G5?#;8llbf%*w;S_fCg>`7$c7$aP{UlR+Oa3lomAQt9O
zTMI(?yFfi@F%NVM*%VP9g3XtcLiB46BCto$_=1D$;X<_gdyr}&7|Bn4L(U0wxhigu
z6z&Ef1AiKDRlukJrA=g(Rp$TiZCEU#$>c;l{CqWSA)yD4L~LNnn{yFNhjTgl>b@IF
z@J`g*%!nqEZ`=AQV3?-I6MEnL+P!xXjoEnc@+nDcfCmDW)S1G?vCH+)g>Qb-4e<Sa
zq5A!<U%D3*j?juu-_|RiB9hsY_)t;*m$Xr7|9py*fmUed@yj;U6GMbi1c_0lZR6mI
z6pVDF3O_oqt=j<o>uYeZ54mCJa}9rJ=}A3>Ep@qfOIVusy_>?$kzj<>cJH$(nhHoT
zCq3%@a0S0FOb<P@?kXJ-VR%Q!{#D?a0#z<*uhF;ty8C{gb+=D-5OwW`K;&5A@3B--
z8Fio&ZQL}Lg!I4&KCzpexutnSpBIwj*}F=>Z4S<sMCE^@xo*d-{l0oLr?eUhO=|z3
z#M__cV&7W7vWvmTT#djK(|&SeO0G@Z3tf-1EFUzd)3noRk{cEfjm>uDu<e$C;=E{2
z`3<I>8y5RPb^@Q=h+-do!qsn&s1lg1GDx{NPEYgU29&S0el~~9x9#G$v%dRTnvPpH
z&JBL<F9;U7tk)MWY&!=HLZ2!oUG*`;ck_n1MvSk?HJQdwwrQ&8-L3pKVDX-oz#sFr
z<mmFA$tY1a1J7xHX6m)E5GM!o8t${=z!;<Ct%-IsQF(}Oi<ooC;>07fS9)<;C2&kz
zQ@1Dv5p3SKom?H?&tvUws`kjKJMw$XK<)2^o%n@Xq`qKBgDXr;vqS}himEPMBN{VQ
zLe+*!U^7+31PBu-vdp&vUSn}G2Xq;1jl-O93-5imUPDTQS$lBfQAK>~<1PmMTOT6b
zq;Yt*yxH_Iuck&wIqh>2b6c*euWPY+cY`v!U|3I|Z_mi=SUvf!OOzk|ir+C@YV*vv
z0!}W<HRszL#&3{ucqn|KijN!q(Lkdl+1(q5#t21=pW8<X;4Fp@D@pm*-{*OV63_*C
z2%^i=p4=|pW7hoZ8*;5J?f0fD)tkpX#j(9%Pl@6)-CC`=9MY`_dRL`1486gCj&9c-
zZillWThAzH^~$#k(B$>-8R?kk5DL`g<%90-AvgCy>)Nu8^Ovk1zv?$7aAZeokonFw
zxUYVbFqd}jxiUPBKH(~j4h7S)jOWbv+82v#x`_LRH>+PxG+jxNmvZPghpw^h75qVo
zfIpxVpTn`yN~7=*{m>$QR8vD?&A9r059}$FYGp&biw3G)T3S;V&fc}~s4{4rMwCzV
zJ=}z^^nl!qBg1E^QY*ByXNu<28@IzPZAw(pyXAYP_f&Lg83rBCu!>}`^thi+tJv&a
z9YxwO10EkBdTl)2$W2=oRM*o_Q9Wrv&O%0jMdD4x?L#>w@r-Xx@qxNkgRVlSHqf_u
zEhL~z^sZ3<g)x7q!iBUeqb|BUfx|3p@hD?FFQ9{+hFT-pJw)%+*CsS|TiClY=6o*Z
z3hE)Q_THI>4gJ2R?9Zqgj1`n|;q&3g%1(u5m)j0k#q$W~f0CYn9gM<daN{?52CAbk
z57m_}lCfT@m)I>DUai>pIz!MNTsN=(P@6Pxn>XykhbymyZ|-H#+Pz1qkE?rDE2ju!
zPA<fy%%k}6B%xr)>3W5k<SK&IfFRpaaiYH^d4;D$sJL{O{aDO&OMpoi#~Tvou$i$#
zGxvvVV^xm!`TDlqxZ#rAQIgn~*ZG_SP>PK+_7@rJXM1EF<sopqmMQ0DY-LPQkuu}Z
z6HMLNg!r_F$J;O|BPHq>W@3EIal{w4-XCO&7hTJLM@RU}{f250w3mcQeN0m{s88HY
z4vk;M6Q6wAMRNCUI<J&L!dkp6o8ipk9;ZGYOrl*d7v5LI-}g1VG6to822V4Bg{_xs
z`RA$<DQ8t>9PL5qSA(<SQY!P;7sZY3A|$sp)U79k25D`|B}Z2SD#N2*N4@$R-0i+e
zxVCyCQ(R-h;_!qSm5;KvDh)5Jy*{GiW?>%_p2$D&zcC$n*H6}ippVsRwe4z<vo;*}
zP(E;ZX1GR2&N<3G<}a5)ut065`FOYKPm1tqE0Enh#yNxH!3llxczBrf)W?}N+?B=W
z-qn`}Zw@leghlCsJ{$I2Bi=w3plD3g-LZv@Wm??oVktg%))y{DPiFT~TKpQaFyo!=
zjqy4}Mhp3HPYY3K%nHIamAv-|cisBN*IB8Il(jWwX}m3bMrUGz4wA!2m+&FL=An|~
z8n<R!bg3F~`I;$uYmhIhuGLR3;4*oi9IcN%B6JMMbgbFR*J6<oF0sY#xhB=Ij57AB
z%zT}y94A-IQg^!$5?x!fThN+%%S~ir@~nMCJq2QxhPKU%DMiN4Hly3uve>HanrUkm
zxpbmhtb=3wY_Uhli!`ng5<^Rg^%Sifm)7j7HPX2K%za!aAlG^tAG#mZV?CBq$PO9e
z=UJTR)xx6dUQ+AL#$D8IUtacNlw`!gg6d`SeasH?@&@Z4c)L?PH)E-&t?dhHy3o){
z_U%^MSKgKIZN%4&wKQt{0#5YfSsNHzNJ#lyW!?Mm83k@5d;Q0e^j}_`<ZSep`-5^8
zQV!pSOTL4b{r}oJ_kSkzKaS5OT8njZ$qYL#p%#WlLqm_;jw78oS;UHBC<miPlW@#s
zo1I)9YQ*WtDKv7K5L+irkub^5hGEWeD{QsR9%0|_emsvy{RyAX=a={A^Lf6WuR8v8
zWcc}2LB;lLT<iG9-#U0;%5Ml=fJQ07U>P}=y$@o!!(bURmE730tbnVOTKwn^&qSqZ
znNe)xG+dVC_aw9&PG_A2G@rg%;NhD3T<6r}I-K2JvUd37@DKuDtxIC%w!VKXGj$Ov
zg(B3EC2uRd7WAC|YgBX0f)$;J1$mqiG!$Z}=wDn%2Bxo|nUdN51|-ewLoE<(k{HJ8
zjDltDk_F6_oFFZ035xxflEA?UfGwEl7mf~e9-AWr>#w%mJ-UT_vl|`#vKrt>Uy)8J
zWI<@bC%rq(7U#lhhSgvrEbE;{mez_=T@kqOXRE~Ib39nzIf9URE-<U~$4B-LI+K$L
zuR^d`;xVpW@A0{-x&vc~T=!$i5HhUGoeo&}FG%*e2n`YliMZgx>w@y9m4<T9==LXs
zg32qvH*THyGHFw-ky4LOyeKZ>CN<9n-L)wZftF*yR=N};gF&+z<_y;hW<a!5z!%`E
z)SD;7;V8{$HA*i7nFAV{jK*xl4Cf9191HkvWcR4BCE;E6<r%0ymuM4{sQN5T3%Zbq
zj~q10aCoS+G`FGDZ1dV*X{I>0`92y+<@kbNnWbO1HVjM9q#A3nu;GEnpPFoDDZl=w
z(wvEAuMNuNJ(U_uX}eR_F{-z{m&<|<w#-afSK{S&khuHUV=z>`Wm2+pZ%b6gn1UuJ
zzC*4h&NDwHIPp1icR^EAR$h$Pwt9Q<pQNLZmaso=p|7c~gqMTDUgSk^r4EG$dgAhA
zRSnJS(vJ2J`^(XnLaVNY?(=_b5@xgDNiw#1p3P5T?E|SEO}~p;Z8+Fjz7l(q>g;cn
zHJvXwl^UGzW%Bo$A>ktC0e$zsrIvU26Z;D$%qG;9*zHgI!xTS>$zEgj7*?H$dLrNG
zpT7R>amV9>(HSiP-|$R+&ZcH-(>PRD{~M-BOZ{$2YNkWSPB>SiH~8N{y+aVl*?>s@
z(aaHrv)E~AzWEtLL5`3hd1Q}(rdKA;!s(Y5K;uh|hjR&o)_t)mn11Z$;PoB?PnrdN
zB_Pq}-o}aoyQP?`q2<?4n^--|*^{j6IN7mnx@Ef})RlPNV&3WXPES?tA7{6Tiq<AT
z`NEC95`rfh;XK|aQUw4Q4s$b|cO~Srid#L^ZRb}FTLsM9g_>Sf-8$9P>(UmVZ!D>J
zRp34q&saPy9wNDhj5Qcpuy9<@n1~%GI|uJB1-TJR00(s!i)Ot_r`0-L_TGlLF5wRM
zHLVQUYP?}N5DlwDW=-=m**?5Qu?inOQ1&si906pfTNspDpYZ*;4II@7CzZ+31*d5P
z&IvV66X~WQ95+9Cq-^?$y8edUqQ&|P*?_P*j2o&F0p+LZi=UE?QjJk`(Q&sCs80n6
zR5)fE?H&hVgnuoq(*-TKzNl9vp#7ylW`?xM8E?Wf`|;woG^F-OuAjF0GoX~5NHq>}
zTnNF5p?C-cx@T<wU2#pd_3gnsR7>&3uW5bolal%!()~YH_s_<=(fAc~?j=nR@9U`#
zZMqm#cX?W+k3_3}0lS}2vNb?|Nk9IU`nGQBamq-E+TTT8`CIi~ruem}O&`F`R27Rg
zN#E>;(tyim){?CL^Qe+Hf2CqxQ{&BT)C1HO5y2-Mi??|5%>|w$Rj==jz;2_ij@IHs
z+I71i2JL3IV+^Ju4^{(HXJRqW@d{bfHwGD!;)6ViHPM^$Nb&5in@G0!6r*9+R@&LI
zq6<A20J=jMoxcHb^v%Pz8UrlY%@IQ-j5UeOHu$g^<-(Ii__o!2`hp;v=xo+eolel|
z@$ju9gj`d7#SgHea7vVVY=3+pj+I=1LKJPT@9{Hr)8k|vP?5(Mv&7_=uIx_VCYyZO
zjaeXrR`5M(>P!UI4FV7_poh#OcrBV?W3}2!pnwRk4S#R*-rmDo6q)K%dFFj{Iea+G
z-0S?kMm4}*xxunXXzp0<n|lU<#ZCK7KKR;1*afCwwWKYS%!Bp!WN!zmvSN<)v`##(
zx*{LH<r^x_H1o}9R;rG0WJ!Kj0wxc;pizqZO@y-kF@NZmogJrV`q3I(+nwZu@XK67
zAKV7CNvOiSCR}(mOJ8D^2P=EH>hh!jcmPE$``!SxLYEcWYAoH@;H$sm&>f1aI4tWP
zo=30<p59rDF;w*fa#NTw6i0x1_lHsBM>d$~m_0WO#NfV^Fzwm+L?hbTyOS1i0D#l)
OwZY-bD%ARa{Qm>Kaq~R@

literal 0
HcmV?d00001

diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Figures/SnowDepletion.jpg.yml b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Figures/SnowDepletion.jpg.yml
new file mode 100644
index 00000000..64d5fcf4
--- /dev/null
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Figures/SnowDepletion.jpg.yml
@@ -0,0 +1,3 @@
+author: "Siemens, K., Dibike, Y., Shrestha, R. R., & Prowse, T."
+license: "CC-BY-4.0"
+date: "24-02-2021"
\ No newline at end of file
diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Figures/Workflow_diagram.jpg.yml b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Figures/Workflow_diagram.jpg.yml
new file mode 100644
index 00000000..328b466b
--- /dev/null
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Figures/Workflow_diagram.jpg.yml
@@ -0,0 +1,3 @@
+author: "Maxime de Bekker using ChatGPT"
+license: "Apache 2.0"
+date: "01-04-2026"
\ No newline at end of file

From d3ba74f9d33a543cbb86df9f72eb6217e2dbeb35 Mon Sep 17 00:00:00 2001
From: Maxime <mxdebekker@gmail.com>
Date: Wed, 24 Jun 2026 14:45:02 +0200
Subject: [PATCH 24/24] Final changes

---
 book/_toc.yml                                 | 40 ++++++++
 .../Report/00_Abstract.ipynb                  |  2 +-
 .../Report/00_Preface.ipynb                   | 33 -------
 .../Report/0_Summary.ipynb                    | 33 -------
 .../Report/1_Introduction.ipynb               | 97 ++++++++++++++++++-
 .../4_Calibration_of_the_HBV_model.ipynb      |  4 +-
 .../Report/6_Results.ipynb                    | 80 +++++++--------
 .../Workyard/Step3_Calibration_HBV.ipynb      | 53 +---------
 .../Step4_HBV_Validation_Ensemble.ipynb       |  2 +-
 9 files changed, 183 insertions(+), 161 deletions(-)
 delete mode 100644 book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/00_Preface.ipynb
 delete mode 100644 book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/0_Summary.ipynb

diff --git a/book/_toc.yml b/book/_toc.yml
index 54405714..4152bbe6 100644
--- a/book/_toc.yml
+++ b/book/_toc.yml
@@ -152,7 +152,47 @@ parts:
               - file: thesis_projects/BSc/2025_Q4_ZoeLucius_CEG/Report/References.ipynb
                 title: References
 
+          - file: thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/BSc_MaximedeBekker.md
+            sections:
+              - file: thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/0_Preface.ipynb
+                title: Preface
+              - file: thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/1_Introduction.ipynb
+                title: 1. Introduction
+              - file: thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/2_LiteratureStudy.ipynb
+                title: 2. Literature Study
+              - file: thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/3_Determination_of_navigable_season.ipynb
+                title: 3. Determination of navigable season
+              - file: thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/4_Calibration_of_the_HBV_model.ipynb
+                title: 4. Calibration of the HBV model
+              - file: thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/5_Climate_scenarios.ipynb
+                title: 5. Climate scenarios
+              - file: thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/6_Results.ipynb
+                title: 6. Results
+              - file: thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/7_Discussion.ipynb
+                title: 7. Discussion
+              - file: thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/8_Conclusion.ipynb
+                title: 8. Conclusion
+              - file: thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Reference_list.ipynb
+                title: Reference list
+              - file: thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/AI_Statement.ipynb
+                title: AI Statement
+              - file: thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Appendix_A_Snow_depletion_curve.ipynb
+                title: Appendix A: Snow depletion curve
+              - file: thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Appendix_B_Calibration_output_parameters.ipynb
+                title: Appendix B: Calibration output parameters
+              - file: thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Appendix_C_Calibration_code.ipynb
+                title: Appendix C: Calibration output parameters
+              - file: thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Appendix_D_Validation_results_per_year.ipynb
+                title: Appendix D: Validation results per year
+              - file: thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Appendix_E_Forcing_data_analysis.ipynb
+                title: Appendix E: Forcing data analysis             
+              - file: thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Appendix_F_ERA5_Forcings_Generation.ipynb
+                title: Appendix F: ERA5 Forcings generation
+              - file: thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/Appendix_G_CMIP6_Forcings_Generation.ipynb
+                title: Appendix G: CMIP6 Forcings generation
 
+                
+                
       - file: thesis_projects/MSc/overview_MSc_thesis_projects.md
 
   - caption: Research Projects
diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/00_Abstract.ipynb b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/00_Abstract.ipynb
index 61c69875..ec75700c 100644
--- a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/00_Abstract.ipynb
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/00_Abstract.ipynb
@@ -29,7 +29,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "d3aecf90-e4f1-42e9-9e03-711a8a8fb34b",
+   "id": "40c0cc05-f256-4bc3-82f4-9beb9e1b4ef7",
    "metadata": {},
    "outputs": [],
    "source": []
diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/00_Preface.ipynb b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/00_Preface.ipynb
deleted file mode 100644
index c1b788a5..00000000
--- a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/00_Preface.ipynb
+++ /dev/null
@@ -1,33 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "a80e8698-fe84-43be-86f2-3ce92713d0e8",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.12.7"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/0_Summary.ipynb b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/0_Summary.ipynb
deleted file mode 100644
index 0020e7d3..00000000
--- a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/0_Summary.ipynb
+++ /dev/null
@@ -1,33 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "783c6988-1d83-4797-8972-667c029e96c1",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.12.7"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/1_Introduction.ipynb b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/1_Introduction.ipynb
index 2eea8de9..f6ce3580 100644
--- a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/1_Introduction.ipynb
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/1_Introduction.ipynb
@@ -10,16 +10,107 @@
   },
   {
    "cell_type": "markdown",
-   "id": "678af9bb-f7e7-4e01-b9f7-25e7e3c2f64b",
+   "id": "80acbbb0-84be-42d0-aa6c-d197fad3388e",
    "metadata": {},
    "source": [
-    "This is an excellent introduction!"
+    "## 1.1 Context to the research projection:"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7026b630-8f55-4c67-a8ba-3f2fe059a615",
+   "metadata": {},
+   "source": [
+    "In September 2015, low flows in the Lower Athabasca River (LAR) severely restricted navigation for the Mikisew Cree First Nation. At a discharge of 368 m3/s, navigation was described as “essentially at zero”, meaning that community members could not leave the harbour to fish, hunt, gather nor receive supplies by boat (Mikisew Cree First Nation, 2016). A year later, October 2016, another low flow event was associated with a Mikisew member having to pull a small boat across a sandbar in a distributary channel (Mikisew Cree First Nation, 2016). These events show that low flow conditions in the LAR directly affect river navigation for communities who depend on it. \n",
+    "\n",
+    "Such low flow events may become more prevalent due to climate change. Rising temperatures alongside changing precipitation patterns can alter snow accumulation, snowmelt timing, evapotranspiration and seasonal discharge patterns. In cold region basins such as the LAR, these processes may influence the hydrology and the length of the open water season during which the river is navigable. The LAR forms a relevant case study for investigating how climate driven hydrological change may affect low flow conditions and navigability. \n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c5744c0e-3e3f-43bc-af90-3ac87303c2b0",
+   "metadata": {},
+   "source": [
+    "## 1.2 Problem Analysis"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "12ad988e-fc3b-4118-88af-f740dd1f3c33",
+   "metadata": {},
+   "source": [
+    "The LAR feeds into the McKenzie River and is the largest undammed river in Canada, covering a basin of 160.000 km2 (Athabasca University, n.d.). The basin is home to several indigenous communities such as the Mikisew Cree First Nation and the Athabasca Chipewyan First Nation (Kashyap, 2022). These communities utilise a hybrid transportation system, relying on ice roads in winter and marine navigation and aviation outside of winter for the transportation of resources (Adam, et al., 2024; ADCS, 2026) with marine navigation being a cheaper alternative. Waterways are also used for hunting, fishing (Candler, et al., 2015)  and evacuation routes during fires (Adam, et al., 2024) . Navigational routes for these communities are therefore of great importance (Canada Transport, 2020) and have been referred to as the ‘life blood’ for First Nations (Mikisew Cree First Nation, 2016). Low flow extremes in the Lower Athabasca River are expected to increase in frequency and severity over time (Mikisew Cree First Nation, 2016; Kashyap, 2022). If such critical water levels were to be reached more frequently, threatening navigational use of the river, it would be problematic for such indigenous communities who rely on it (Mikisew Cree First Nation, 2016). "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "241151ce-8938-4d9d-8152-692b389f64f5",
+   "metadata": {},
+   "source": [
+    "## 1.3 Research Objective"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9e16b61b-08e3-4d44-84e6-b90d0fa5b2ae",
+   "metadata": {},
+   "source": [
+    "The goal of this Bachelor thesis is to quantify the impacts of climate change on the hydrology of the Lower Athabasca River and its secondary impacts. This leads to the following research question:  \n",
+    "\n",
+    "*“How will climate change impact the river discharge of the Lower Athabasca River and what implications does this have for navigation?”*\n",
+    "\n",
+    "To answer this research question, the following sub-questions are to be considered:\n",
+    "- What is the critical low flow discharge for which navigation in the LAR is constricted?\n",
+    "- How often has this critical discharge been undershot in the past, before 2025?\n",
+    "- How many days from 2025 to 2100 is this critical discharge expected to be undershot, under various climate scenarios?\n",
+    "- During what time of year is the river navigable due to the absence of ice (open-water)?\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fbcf02de-fdd3-4398-acc2-dd2a2bc91f53",
+   "metadata": {},
+   "source": [
+    "## 1.4 Approach"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ee7794e5-cd34-40ac-9afd-c50f0ed69a4d",
+   "metadata": {},
+   "source": [
+    "As a starting point, a literature study is performed to gain understanding of the hydrological and navigational context of the LAR, as well as identifying further challenges needing to be tackled in answering the research question. This literature study focuses primarily on answering the sub-questions regarding the determination of a critical discharge minimum for navigation and the identification of the open water navigation season. \n",
+    "\n",
+    "The hydrological analysis is carried out using the eWaterCycle platform. eWaterCycle is a hydrological modelling platform allowing users to run hydrological models, such as HBV, in a standardised and reproducible manner using Jupyter notebooks (eWaterCycle, n.d.). This makes it easy to switch between, to calibrate and to use various models. The platform simplifies accessing large databases such as ERA5 and CMIP6 which will be used for this research. \n",
+    "\n",
+    "The HBV model is used to model discharge data in the LAR. It is chosen for the model to take ERA5 climate data and calibration parameters as input variables. The model is calibrated for the period 1999-2019 using observed discharge data at Fort McMurray, provided by the government of Canada. A random sampler approach is used in generating various parameter sets, where model performance is evaluated using the logarithmic Nash-Sutcliffe Efficiency (LNSE) to find the optimal parameter set. After calibration and validation, the model will be forced with CMIP6 forcings, containing simulated future climate data, alongside optimal parameters to model future discharge under various climate scenarios. See Figure 1 for a visualisation of how the model works using eWaterCycle. The output of this model is used to analyse the frequency of future critical low flow conditions with the aim of answering the research question. \n",
+    "\n",
+    "<figure>\n",
+    "  <img src=\"Figures/Workflow_diagram.jpg\">\n",
+    "  <figcaption><b>Figure 1:</b> Figure 1: HBV Inputs and outputs using eWaterCycle (AI Generated using ChatGPT).</figcaption>\n",
+    "</figure>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6d93ead2-36f9-46bc-97fb-7f76be909ee1",
+   "metadata": {},
+   "source": [
+    "## 1.5 Reading Guide"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e27de1cc-09ee-4f4a-ab79-4dc3566d7e03",
+   "metadata": {},
+   "source": [
+    "In Chapter 2, a literature study will be conducted examining the region and identifying challenges that may arise for computational hydrology. This is followed by the determination of a critical discharge for navigation. In Chapter 3, the start and end period of the open water season will be determined. In Chapter 4, the model will be selected and justified, followed by calibration and validation justification and evaluation. In Chapter 5, climate scenarios are given and the model performance is evaluated under CMIP6 forcing inputs. The model will be used to model discharge in the future under climate scenarios in the results section in Chapter 6. This is followed by a discussion in Chapter 7 and a conclusion in Chapter 8. "
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "8a9dd049-d67c-4198-ad5f-8a5e116c1795",
+   "id": "7f3b1c2f-0367-4489-bc13-55d97b726f7d",
    "metadata": {},
    "outputs": [],
    "source": []
diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/4_Calibration_of_the_HBV_model.ipynb b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/4_Calibration_of_the_HBV_model.ipynb
index 1c5eebb7..55fcf88e 100644
--- a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/4_Calibration_of_the_HBV_model.ipynb
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/4_Calibration_of_the_HBV_model.ipynb
@@ -203,7 +203,7 @@
    "id": "fdc1955a-65b0-422e-bf2a-946011a35c96",
    "metadata": {},
    "source": [
-    "As mentioned before, the HBV model was calibrated from 1999-2019 excluding the first year as a warm up period and 5 winter months. Figure 9 shows the observed and modelled data over this period. Overall, the model reproduces the discharge reasonably well. The 5 best parameter sets returned an LNSE ranging from 0,64 to 0,72 with a 0,68 median. The mean discharge from the sets returns an improved LNSE of 0,74, which can be considered a good model fit. Most high flow peaks are not modelled accurately, which is acceptable within the scope of the study. Low flow periods and the transition from high to low discharge periods are generally represented well which is important for identifying critical low flow days. The code used for the calibration can be seen in appendix 5."
+    "As mentioned before, the HBV model was calibrated from 1999-2019 excluding the first year as a warm up period and 5 winter months. Figure 9 shows the observed and modelled data over this period. Overall, the model reproduces the discharge reasonably well. The 5 best parameter sets returned an LNSE ranging from 0,64 to 0,72 with a 0,68 median. The mean discharge from the sets returns an improved LNSE of 0,74, which can be considered a good model fit. Most high flow peaks are not modelled accurately, which is acceptable within the scope of the study. Low flow periods and the transition from high to low discharge periods are generally represented well which is important for identifying critical low flow days. The code used for the calibration can be seen in Appendix C. The code for generating ERA5 & CMIP6 data can be seen in Appendix F & G."
    ]
   },
   {
@@ -646,7 +646,7 @@
    "id": "92604c10-ecd3-4bba-bcbe-0927605317aa",
    "metadata": {},
    "source": [
-    "The 5 best parameter sets were applied to the validation period 2019-2024, excluding the first year as a warm up period. Figure 10 shows the observed and modelled discharge over this period. The parameter sets returned an LNSE ranging from 0,72 to 0,77 with a 0,74 median. The model mean has an improved LNSE of 0,81,  which suggests a very good model performance. Interestingly, this shows an improvement from the calibration period which may suggest the parameter set’s performance is consistent which is important when modelling discharge in the far future. For yearly graphs, see Appendix C. "
+    "The 5 best parameter sets were applied to the validation period 2019-2024, excluding the first year as a warm up period. Figure 10 shows the observed and modelled discharge over this period. The parameter sets returned an LNSE ranging from 0,72 to 0,77 with a 0,74 median. The model mean has an improved LNSE of 0,81,  which suggests a very good model performance. Interestingly, this shows an improvement from the calibration period which may suggest the parameter set’s performance is consistent which is important when modelling discharge in the far future. For yearly graphs, see Appendix D. "
    ]
   },
   {
diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/6_Results.ipynb b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/6_Results.ipynb
index f14af534..19859153 100644
--- a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/6_Results.ipynb
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Report/6_Results.ipynb
@@ -31,7 +31,7 @@
     "| SSP245         | 27                      | 40        | 38         | 31        |\n",
     "| SSP370         | 27                      | 34        | 45         | 49        |\n",
     "\n",
-    "Figure 12 shows annual low flow days for the observed period and future climate scenarios. Visually, SSP126 remains relatively stable between 2025-2099, while SSP245 shows a slight decreasing trend. SSp370 shows the clearest increase over time. This is consistent with the forcing data trends shown in Appendix D, where SSP370 shows the strongest increase in temperature and potential evaporation. For SSP245, the increase in precipitation may partly explain the decrease in low flow days between 2075-2099. To evaluate whether the fitted trends in annual low flow days were statistically meaningful, a linear regression was applied for each climate scenario. The p value of the fitted slope was used to test whether the trend was statistically significant using a threshold of 0,05. "
+    "Figure 12 shows annual low flow days for the observed period and future climate scenarios. Visually, SSP126 remains relatively stable between 2025-2099, while SSP245 shows a slight decreasing trend. SSp370 shows the clearest increase over time. This is consistent with the forcing data trends shown in Appendix E, where SSP370 shows the strongest increase in temperature and potential evaporation. For SSP245, the increase in precipitation may partly explain the decrease in low flow days between 2075-2099. To evaluate whether the fitted trends in annual low flow days were statistically meaningful, a linear regression was applied for each climate scenario. The p value of the fitted slope was used to test whether the trend was statistically significant using a threshold of 0,05. "
    ]
   },
   {
@@ -44,7 +44,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 50,
    "id": "44aaf7ce-4fc2-438b-a539-d7a69eb45c25",
    "metadata": {},
    "outputs": [],
@@ -67,7 +67,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 51,
    "id": "3507c914-b4db-48ae-96ff-a146f9b0a3a4",
    "metadata": {},
    "outputs": [],
@@ -80,7 +80,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 52,
    "id": "62bbbc99-afb6-4de6-b8b7-862bd3735fbc",
    "metadata": {},
    "outputs": [],
@@ -96,7 +96,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 53,
    "id": "578e0810-07ab-4bdf-95e6-a06ba4a2d4ed",
    "metadata": {},
    "outputs": [],
@@ -119,7 +119,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 54,
    "id": "f819dab1-c52f-464c-9ec8-f107fae004b1",
    "metadata": {},
    "outputs": [],
@@ -142,7 +142,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 55,
    "id": "68e9fd3d-375f-4496-98b3-37b8b903fbac",
    "metadata": {},
    "outputs": [],
@@ -162,7 +162,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 56,
    "id": "194d418f-97c0-42d0-bcf0-047d91766a66",
    "metadata": {},
    "outputs": [],
@@ -185,7 +185,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 57,
    "id": "e81db75b-c3f4-484e-99aa-e2afa77814e6",
    "metadata": {},
    "outputs": [],
@@ -213,7 +213,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 58,
    "id": "e826bb2f-280b-4037-8c6f-a33a3e7a0e41",
    "metadata": {},
    "outputs": [],
@@ -226,7 +226,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 59,
    "id": "54e49856-da5d-4ec3-b90e-cc67e36a9532",
    "metadata": {},
    "outputs": [],
@@ -271,7 +271,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 60,
    "id": "e41394d6-dab4-4e43-9825-8e49b862dece",
    "metadata": {},
    "outputs": [],
@@ -321,7 +321,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 61,
    "id": "60a566a4-edff-4fef-aeb1-189bec494ed2",
    "metadata": {},
    "outputs": [],
@@ -379,7 +379,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 62,
    "id": "cd520624-9985-4818-8ada-20d57ba485f7",
    "metadata": {},
    "outputs": [],
@@ -418,7 +418,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 63,
    "id": "faae1fb2-ced9-4af6-85ed-102006e8a865",
    "metadata": {},
    "outputs": [
@@ -463,7 +463,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 64,
    "id": "31c8727b-fea5-404e-809e-d551bac9ee03",
    "metadata": {},
    "outputs": [],
@@ -500,7 +500,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 65,
    "id": "3d4ddfeb-9b75-42d2-9d83-11c1d32f1e31",
    "metadata": {},
    "outputs": [
@@ -658,7 +658,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 66,
    "id": "9418de41-94c2-4e17-9373-c5ff0e62d04f",
    "metadata": {},
    "outputs": [],
@@ -700,7 +700,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 67,
    "id": "9a04d440-878a-46ae-b047-15dab562c917",
    "metadata": {},
    "outputs": [
@@ -768,7 +768,7 @@
        "2   ssp370                  27         34         45         49"
       ]
      },
-     "execution_count": 25,
+     "execution_count": 67,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -786,7 +786,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 68,
    "id": "f0509863-c25f-47d9-bf62-6463e2f07fdf",
    "metadata": {},
    "outputs": [],
@@ -861,7 +861,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 69,
    "id": "f0476652-7102-4de6-8be3-cdb28408cba8",
    "metadata": {},
    "outputs": [
@@ -896,7 +896,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 70,
    "id": "7675d9fe-bb67-43f0-83d5-7d76e32c5bf0",
    "metadata": {},
    "outputs": [],
@@ -942,7 +942,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 71,
    "id": "0e08eb92-7a5b-404c-914b-cc26d2984d95",
    "metadata": {},
    "outputs": [
@@ -1004,7 +1004,7 @@
        "3      ssp370  0.053621"
       ]
      },
-     "execution_count": 30,
+     "execution_count": 71,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1029,7 +1029,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 72,
    "id": "19fd5af5-4688-402e-9de6-7e738874287f",
    "metadata": {},
    "outputs": [],
@@ -1078,7 +1078,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 73,
    "id": "aab2ce06-24d1-4239-bdc4-fd118dd18632",
    "metadata": {},
    "outputs": [
@@ -1112,7 +1112,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 74,
    "id": "64732f83-bdd6-49df-8440-65161eade40f",
    "metadata": {},
    "outputs": [],
@@ -1155,7 +1155,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 75,
    "id": "e5d0d029-feac-4d3d-8a46-7e8555815166",
    "metadata": {},
    "outputs": [],
@@ -1204,7 +1204,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 76,
    "id": "6f6215ba-72f9-470c-96f3-ff7f474d883d",
    "metadata": {},
    "outputs": [],
@@ -1286,7 +1286,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 77,
    "id": "312b6d81-13cb-4d38-9b9e-84c2e83c7b54",
    "metadata": {},
    "outputs": [],
@@ -1303,7 +1303,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 78,
    "id": "05ad8b99-cce0-44c3-a540-538a5e23d20c",
    "metadata": {},
    "outputs": [],
@@ -1365,7 +1365,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 79,
    "id": "c08dafbb-f79e-4f35-ae27-f3dd187a5491",
    "metadata": {},
    "outputs": [
@@ -1418,7 +1418,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 80,
    "id": "90f8b01b-3cd8-4817-9b22-da65ff5ab41e",
    "metadata": {},
    "outputs": [],
@@ -1505,7 +1505,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 81,
    "id": "692e6d03-9bae-44d3-9f24-5a7206714292",
    "metadata": {},
    "outputs": [],
@@ -1574,7 +1574,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 82,
    "id": "f645e6f7-14ae-46ca-b53b-21e42e83000e",
    "metadata": {},
    "outputs": [],
@@ -1586,7 +1586,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 83,
    "id": "9d5627b7-9b0e-4418-a8d5-2e2cbafb53f7",
    "metadata": {},
    "outputs": [],
@@ -1608,7 +1608,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 84,
    "id": "449fdd42-58fd-4848-a3e6-c1bf6cc256e0",
    "metadata": {},
    "outputs": [],
@@ -1685,7 +1685,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 85,
    "id": "8314f9f1-d1d1-4854-95f5-873682d6d648",
    "metadata": {},
    "outputs": [],
@@ -1702,7 +1702,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 86,
    "id": "91bb6224-b16f-4589-98eb-a03f79be029b",
    "metadata": {},
    "outputs": [
diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step3_Calibration_HBV.ipynb b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step3_Calibration_HBV.ipynb
index 94c3bd32..48aa921d 100644
--- a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step3_Calibration_HBV.ipynb
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step3_Calibration_HBV.ipynb
@@ -77,26 +77,6 @@
     "# validation_end = \"\""
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "c3b02d32-4be2-47a7-8935-8284af182d66",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# # Create pathways for ERA 5 forcings\n",
-    "\n",
-    "# forcing_path_ERA5 = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"forcings\" / \"ERA5-1999-2019\"\n",
-    "\n",
-    "# discharge_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"07DA001_discharge_daily_withoutmissing.csv\"\n",
-    "\n",
-    "# shape_file = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"Shapefiles\" / \"07DA001_basin.shp\"\n",
-    "# basin_size = 132572\n",
-    "\n",
-    "# calibration_temp = Path.home() / \"BEP-maxime\" / \"Workyard\" / \"calibration_temp\"\n",
-    "# calibration_temp.mkdir(parents=True, exist_ok=True)"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": 5,
@@ -229,34 +209,12 @@
     "## Calibration Methods"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "id": "9b95e67e-780e-4a4d-a2f1-4cf9de2b0512",
-   "metadata": {},
-   "source": [
-    "### Method 1: RMSE"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "id": "3da0e944-b4bf-49c6-a986-a94fc14e0bfe",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def RMSE(sim, obs):\n",
-    "    sim = sim.to_numpy()\n",
-    "    obs = obs.to_numpy()\n",
-    "\n",
-    "    return np.sqrt(np.mean((obs - sim)) ** 2)"
-   ]
-  },
   {
    "cell_type": "markdown",
    "id": "ba51d28d-1fdb-46af-8f8e-5dcf904aba7f",
    "metadata": {},
    "source": [
-    "### Method 2: NSE"
+    "### Method 1: NSE"
    ]
   },
   {
@@ -278,7 +236,7 @@
    "id": "93f96591-ceb4-4671-9a48-04a0ddbfaf5a",
    "metadata": {},
    "source": [
-    "### Method 3: Log_NSE"
+    "### Method 2: Log_NSE"
    ]
   },
   {
@@ -375,7 +333,7 @@
    ],
    "source": [
     "### Create samples\n",
-    "N = 600\n",
+    "N = 10\n",
     "par_samples = np.random.rand(N, len(parameter_ranges))                  # Generates random values between 0-1\n",
     "parameter_sets = p_min + par_samples * (p_max - p_min)                  # Fits value to parameter range\n",
     "\n",
@@ -8316,8 +8274,7 @@
     "    # Align simulated and observed data\n",
     "    combined_data = pd.DataFrame(\n",
     "        {\"Modelled discharge\": simulated_daily, \n",
-    "        \"Observed discharge\": observed_daily}\n",
-    "    ).dropna()\n",
+    "        \"Observed discharge\": observed_daily}).dropna()\n",
     "\n",
     "    # Skip first year as warm-up\n",
     "    combined_data = combined_data[\n",
@@ -8326,7 +8283,7 @@
     "\n",
     "    # Exclude ice-affected winter period\n",
     "    combined_data = combined_data[\n",
-    "        ~combined_data.index.month.isin([11, 12, 1, 2, 3, 4])]\n",
+    "        ~combined_data.index.month.isin([12, 1, 2, 3, 4])]\n",
     "\n",
     "    # Append results and drop nan\n",
     "    if combined_data.empty:\n",
diff --git a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step4_HBV_Validation_Ensemble.ipynb b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step4_HBV_Validation_Ensemble.ipynb
index ed549a30..b96e9cb3 100644
--- a/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step4_HBV_Validation_Ensemble.ipynb
+++ b/book/thesis_projects/BSc/2026_Q4_MaximedeBekker_CEG/Workyard/Step4_HBV_Validation_Ensemble.ipynb
@@ -954,7 +954,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 28,
    "id": "b835010a-b272-46b7-9c20-b0db1a99506b",
    "metadata": {},
    "outputs": [